SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0171037494448483 0.00696618958719531 0.000940757040640434 0.000166829352924355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0438002875348916 0.0251761823312181 0.00494971785675557 0.00179559288262784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0848916018503297 0.0474294641046843 0.014908353671967 0.00560283778519987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.128709657381841 0.0692294660514692 0.0275218011764605 0.0105932045208844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0171714409260612 0.00703416112196177 0.000945628499117529 0.000169584671724171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0438570204567313 0.0252126614058972 0.00495444556326326 0.00179702768928361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0849781472124966 0.0475008971331195 0.014932049777861 0.00561085827428078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.128854115838688 0.0693280904561234 0.0275622165695942 0.0106073706570695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0173711248206328 0.00724860113893183 0.000965303971577913 0.000178581874384501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0438944838590394 0.0252324531789516 0.00495510724988208 0.00179759651244953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0849999351268556 0.0475146211424575 0.0149385064168648 0.00561251772707121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.128893241663197 0.0693376397253079 0.0275725438496627 0.0106097921091449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0181003472357484 0.00801295577518174 0.00104527474705557 0.000212622557874999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0437474679237564 0.0251776562916232 0.00492800777733421 0.00179004815367699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.084692087423524 0.0473754486333682 0.0148951703344921 0.00559964511851786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.128510214704481 0.0691230082180257 0.0275160541502588 0.0105879212394446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0235993256372031 0.0134645667566557 0.00169256865882947 0.000538972965634826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0447797909627621 0.0257298250121553 0.00498118144961291 0.00181071624611652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0850763167217462 0.0475476650446477 0.0149751851339161 0.00561187375026726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.128945388593208 0.0692150806765927 0.0276145425042106 0.0105994293630104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0310056296073338 0.0202815535223274 0.00284035139704411 0.00116144625810742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0464357264009811 0.0265098686679869 0.00508163900296288 0.00184559229135787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0857149607796222 0.0477885838684735 0.0150894551323729 0.00562516958784886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.129560877159533 0.0692787392099194 0.0277403340028652 0.010600559872539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0177314499981733 0.00748345830191231 0.00100513726922088 0.000187639357865228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0438934848973603 0.0252257355295004 0.00496519921327681 0.00179584028817278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0849222041290336 0.0473944293443004 0.0148953829448589 0.00559246559850625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.128557235785256 0.0691695813175902 0.0274727346829074 0.0105730956592757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0191678201633915 0.00895042368123165 0.00116637965271595 0.000257895492988809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0440059976792729 0.025259899890097 0.00496728521476419 0.00179314824881402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0847079478146457 0.0471953700382648 0.0148355719500251 0.00556173111499579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.128053125465318 0.0688909056067221 0.027338851436771 0.0105193246944003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0242982994805038 0.0138293640577525 0.00179627736923922 0.000556163822992435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0450423441042673 0.0257632321378827 0.00504591227088209 0.00181469958893036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0850248340658494 0.0471438311861902 0.0148434111406861 0.00553884041227712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.127944906984501 0.0687536726160249 0.0272573445348934 0.0104683807717249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0502415676519266 0.0373909997643751 0.00709632561149397 0.00350742714628764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0525165317300155 0.0295270704674683 0.00572158680433742 0.00206519763256307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0883011584243439 0.0472075294348776 0.0150479471496492 0.00543897116996949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.129352802390535 0.0679889447753083 0.0270984300517552 0.0102025052184317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0753732278472588 0.0609358399737814 0.0146137201375774 0.00864306188341522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0635102805530128 0.0342135711418942 0.00696577532932476 0.00249624482409495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0952009011621595 0.0476034977114205 0.0156402108103531 0.00535772067002549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.133766506719029 0.0665589193870593 0.0272332426065971 0.00978206380590074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0463770484292343 0.0553927788567096 0.00720984901255577 0.0214090234831524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.132648586960721 0.156744591171632 0.0401221146792034 0.151978516056391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.213577125808559 0.249738539313745 0.0756320875947443 0.346774410003516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.2713210267749 0.314059359027301 0.0985109681123063 0.518985420609541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0463463997113579 0.0553690397795254 0.00720749792831052 0.0214256652058751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.132653219726129 0.15673289724612 0.040121078950583 0.151965508634038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.213612482083398 0.249749021814648 0.0756477515837334 0.346815252361135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.271370675421574 0.31410187782951 0.0985360183756469 0.519118736886733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.046358586255575 0.0554041551497823 0.00720834482756766 0.0214573805561912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.132669988203423 0.156727338767164 0.040121198777426 0.151962953278436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.213652029112175 0.249762748422151 0.0756642579018891 0.346867631927913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.271423353487633 0.314146663159904 0.0985605445241415 0.51926010673853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0465340067898818 0.0556349220508385 0.00722454173540691 0.0215689541295972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.13271286950035 0.156740957061006 0.0401250651277952 0.151995704131288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.213741737454026 0.24980109093005 0.0756978143768162 0.347000861997326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.271536550031134 0.314246882008782 0.0986120019947628 0.519577672523065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0489325961957842 0.0579086674606079 0.00744687675345375 0.0224913773125196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.133116453099763 0.156818209514865 0.0401288491184258 0.152251561017544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.214358571029762 0.250004168884561 0.0757387878543117 0.347662923793069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.272250784777054 0.314753930578134 0.0986876606698886 0.521082297403364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0535446039894943 0.0618618454684611 0.00795824348059046 0.0241339137279053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.133792546010591 0.157188453494106 0.0402408796659056 0.153068348264936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.214855242418073 0.250139199160144 0.0758902312726716 0.348532156607099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.272654721408678 0.31507982175347 0.0989044865810863 0.522446752868433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0467059969456525 0.0558248693154286 0.00723824457945829 0.0215480291338253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.132861325748119 0.156886079133858 0.040136138169712 0.152288210478886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.21389977183907 0.250040116624882 0.0757287066552228 0.347576738764572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.271569819343542 0.314475193613666 0.0986292614421636 0.520125678137821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.047608524947888 0.0567542424824833 0.00731048065681819 0.0218130304262925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.13298460748156 0.15697108094661 0.0401445271267833 0.152422777974265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.21400236851434 0.250072924543541 0.0757604309063302 0.347734899877793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.271634053058654 0.314523142710686 0.0986276917585797 0.520315346686259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0507260361429953 0.0597740053793046 0.00760070500094552 0.0228112394598168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.133424359077987 0.157663034233174 0.0401520488984149 0.153446342928675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.214355438107862 0.250826168328941 0.0757323219544637 0.349575331567276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.271882527966707 0.315362451129117 0.0984789742658314 0.522762925278804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0698210932592549 0.0786263216564759 0.0102939904305045 0.0316324168954751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.139151368746096 0.161745248303361 0.04116990236413 0.160792565282964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.217963931396815 0.253117626170194 0.0764289443757823 0.357147829658285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.274125311734603 0.317177825373752 0.0986886777959543 0.529937119900043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0939515268189664 0.103447908364587 0.0158735336341938 0.0489159242655899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.150154013837237 0.169706975506682 0.0430623302962359 0.175851436462224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.224791975430877 0.257748998621192 0.077263697355279 0.371452485833995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.278515162308219 0.320555096897281 0.0988056127184537 0.542441051272786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0670731472001174 0.00488017978866775 0.0154323777439696 1.97962883447861E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.184761508734879 0.00677689654289653 0.0981946349127381 7.46775061042119E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.282202072742524 0.0104311321164671 0.200356908962818 0.000145645618021844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.351802778364548 0.013719009602492 0.282468238227083 0.000197432899178783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0670977404150164 0.00494769465039331 0.0154437386039722 2.13879540229607E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.184754753015235 0.00680471217310212 0.0981944728491258 7.49048249245388E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.282198593154101 0.0104275129137593 0.20035414905792 0.000145657692412272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.351800445153801 0.0137194958880309 0.28246282584174 0.000197369115615166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0671700786781397 0.00518781059793373 0.015468465300672 2.59929795550952E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.184748197280331 0.00686808651125269 0.0981907439552119 7.5432730615081E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.282190667573128 0.0104353504558782 0.20034438726388 0.000145732072992296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.351799405307811 0.0137191688604581 0.282456942989048 0.000197290913818554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0674684441206889 0.0060819272025789 0.0155504237522392 4.48473507265033E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.184892221946563 0.00710926413124403 0.0982634876469689 7.74327033510036E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.282233574026171 0.0104864478115952 0.20023658246625 0.000146002833912231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.351699926568913 0.0137283167445448 0.281952516325475 0.000197149235445436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0692275177542974 0.0121287003680459 0.016054129704355 0.000265875448996611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.184969128512437 0.00839604178525515 0.0982692134169295 9.71404134450922E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.282188521531896 0.0107877124170393 0.200101842266148 0.000149177939689717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.35170617953053 0.013695038793519 0.281834544381463 0.000195682931592621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0722658824901525 0.0189277000413162 0.0170271065102507 0.000719584756252309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.185403236725769 0.00979036155912398 0.0984389719883761 0.000135794999408473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.282337454512215 0.0111957100079556 0.199975176502432 0.000155931379623563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.35170613792019 0.0136733909885027 0.28128767016217 0.000193733613378451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0673479867449543 0.00550313162072728 0.0155485188849736 3.47668384654191E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.184800735175439 0.00695673363609569 0.0981964489092566 7.60276083912799E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.282212065681788 0.010462760221534 0.200335553501264 0.000145341013663688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.351830353619309 0.0137097274516169 0.282498910818436 0.000196932547407123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0679806645956989 0.00730250204290681 0.0157624571506029 8.46982070889914E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.184859938325129 0.00741779819974936 0.0981906775113756 8.06896423081497E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.282213269178577 0.0105546140191899 0.200290242636522 0.000145500846445623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.351867309117734 0.0137037358943769 0.28252656484487 0.000196388686576833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0699484137500068 0.0123085332977602 0.0163610150972662 0.000304677312134481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.185089794760528 0.00852698938986513 0.0982047972364888 0.000100220619433239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.282241714788322 0.0107985391174399 0.200179043308559 0.000147097337958384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.351941020994882 0.0137173055003106 0.282529128239738 0.000195211882424714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0835680556246454 0.0350082627541649 0.0211613539660857 0.00290089486100275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.186974772602445 0.0133544528721428 0.0984808577719546 0.000324414580641289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.283187992535906 0.0116885927261129 0.199529621408907 0.000172378600556532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.353096060158987 0.0133705484304682 0.282290487458235 0.00018660921778977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.102953588718196 0.0586846551959518 0.0296836075252254 0.00847074351184176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.189303364650744 0.0186178501066605 0.0995623728998085 0.000849232913892377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.282943087804792 0.0117885076067968 0.19804822355716 0.000244944742056643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.352574343037063 0.0121083839301204 0.280537427317954 0.000179973886776822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.060208494761658 0.066150400312538 0.0134453052704999 0.0310869945598893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.16025389283816 0.182090582599539 0.0642565011724891 0.199643602981625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.254752404840911 0.285503718656034 0.109526867885495 0.442262247737008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.327330181963476 0.362087613331293 0.134395496642924 0.668870417173756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0602035209819701 0.0661203216132582 0.0134379673733816 0.0310715929113807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.16025903692438 0.182103962550544 0.0642589116787436 0.199673843471169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.254758133901502 0.28548812826276 0.109530933693878 0.442241722492469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.327326953036582 0.362063818318418 0.13440074665129 0.668815184877167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0602577884839303 0.0661146760930791 0.0134335118776736 0.0310696710296993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.1602777182585 0.182122400359472 0.0642625906437671 0.199718465240786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.254764776521534 0.285475828955133 0.109535166037315 0.442233705753696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.327326325421578 0.362042240787883 0.134405918085052 0.668770351808598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0603537103277188 0.0661144410003735 0.013428864258608 0.0310674124686166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.16011899274995 0.181902272383982 0.0642025555832261 0.199412685722965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.254447681036965 0.285040249378076 0.10944753203874 0.441257360021806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.32691309808051 0.361465119148905 0.134317675365145 0.667147071904323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0622854753113767 0.0682027537627489 0.0136445507421685 0.0320739185756484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.161174587964091 0.183116870015432 0.0644676492170982 0.201720182087656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.255719061744708 0.286378351903639 0.109651914310194 0.444858314338512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.328339312983154 0.362948242800405 0.134386908088979 0.67191830285392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0658235151629612 0.0716897344301881 0.0141106364763691 0.0337675582652979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.162046315838466 0.18385925105013 0.0646373502633351 0.203512384357491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.256254833847522 0.286694818755489 0.109742844261641 0.446309169989352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.328604467057203 0.36309167732774 0.134404137690576 0.672892085252264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0604303822254032 0.0663117890055076 0.0134571100934615 0.0311209657655432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.160309375000461 0.182104427221581 0.0642667883341489 0.19970953914161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.254820669191712 0.285519461825826 0.109545418388073 0.442282199508238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.327387448549802 0.362079701470472 0.134366841771296 0.668847540816092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0609063472168143 0.0668011680565699 0.0135133060986307 0.0313258412088748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.160446504483036 0.182175387526718 0.064296258921251 0.199917406553697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.254939760913658 0.285577008577426 0.109570396817592 0.442459116836302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.327481201968632 0.362100271630459 0.134336328443117 0.66895619092622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0624454887844262 0.0685976202536387 0.0137091739334359 0.032091208543642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.160484565812917 0.181962221270717 0.0642557484096622 0.199909107765789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.254621377521319 0.28499385409435 0.109453842882708 0.441314811281406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.326869861918535 0.361212211603493 0.134128882640233 0.666570373886861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0775304339974089 0.0850544450420966 0.0161471618613708 0.041579139688108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.165117682072439 0.186222292214659 0.0652931989921688 0.209942496678367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.258542889040702 0.287984504008709 0.109948335736631 0.451625707932329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.329910879920063 0.363371837268038 0.133793821402141 0.675532187620428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0982900014138043 0.109014462674608 0.0207662337909445 0.0608506857736254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.17515116717406 0.196021858414623 0.0675513867325361 0.232180537935333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.267484886352012 0.295277040604865 0.110962201679989 0.47576799054858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.337443536979148 0.369005502210138 0.133426555738423 0.697979568896787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0539241481269819 0.0419771534959228 0.0107191987550426 0.0123936886153047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.158698945032412 0.12862148040702 0.0643099041189995 0.100036337710447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.259700495032514 0.212153694829916 0.122909119575454 0.24474828001453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.335089431859589 0.277280393880855 0.161443421469332 0.39046590972731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0539304612520454 0.0420068305301057 0.0107312597430022 0.0124002614726958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.158739342566716 0.12860269853297 0.0643172507045033 0.100026361808424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.259711157496489 0.212119883691395 0.1229193880351 0.24471035235223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.335096884127387 0.277236541892578 0.161463803617018 0.390388027379792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0539560017188437 0.0420974926455781 0.0107482159578097 0.0124221119995119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.158778271193699 0.12859848261727 0.0643262185870615 0.10003404586433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.259724985917888 0.212089735871243 0.122929467502902 0.244681243877515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.335106988923172 0.277196277951449 0.161484418722468 0.39032120790747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0541463851043093 0.0425628619098732 0.0108085827896011 0.0125455558233936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.158961379914112 0.128795849408987 0.0644346545292917 0.100286143635483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.259938090475414 0.212345616349529 0.123127190361731 0.24519805964352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.335339761074684 0.277535423559989 0.161749213675818 0.391126769824275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0559584443537553 0.0463483774887121 0.0111578568820909 0.0135345044875059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.159610535344154 0.12934831068146 0.0645962457128872 0.101081962820166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.260436865401254 0.212627220845143 0.123231644701204 0.246121254578074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.335857683077491 0.277743604213495 0.161865089124007 0.392041671039174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0590581229021151 0.0519077591306315 0.0117800500878525 0.0153373329581364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.160556176486963 0.130557046720579 0.0649058644090133 0.102646807572573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.261363377744049 0.21335906513623 0.123519265774938 0.247854153407719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.33671577160423 0.278247069790807 0.162151258652482 0.393703488311654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0542568979526548 0.0423982475079896 0.0107860084857911 0.012489584622375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.158923655741237 0.128794150246467 0.0643741276906508 0.100244494991476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.260149359755104 0.212380017007095 0.12301442666281 0.245224529615301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.33566464199912 0.277629251044608 0.161578730909321 0.391313639333906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0548731575842992 0.0433773126754793 0.0108905234991392 0.0127325866106228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.159058067883009 0.129043022486428 0.064471001118566 0.10054654273143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.260421656098195 0.212689515119835 0.123192611447339 0.245819347218156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.335985878166881 0.278056606302536 0.161842308073759 0.392296219814129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0567110300843737 0.0465239096326959 0.0112180145785495 0.0135903167238949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.159527652868647 0.129616536233215 0.0646186094989153 0.10124513995691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.261098460600407 0.213186283240502 0.123330318470535 0.246848684265112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.336684043095775 0.278561171019556 0.162086144024601 0.393641406095159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0709735544667712 0.0662553738273712 0.0140716921903492 0.021420740134601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.163428531132317 0.134883765839808 0.0659243945971698 0.107884783058459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.264543058248986 0.217007576701083 0.124118016749015 0.254883224877875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.339866222184829 0.281466312632258 0.163072835099467 0.401722929802172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0931211058236489 0.0915712058764544 0.019464709301826 0.0366134206035613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.171615088743607 0.145329177433823 0.0683830205799203 0.121324978102086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.270518139118144 0.224651110624241 0.12536058668653 0.271014794389376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.345017832472912 0.287235578427305 0.164070178986824 0.417637003031759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0303866165607771 0.0324708737996357 0.00304184389837449 0.00726167091858896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0921887848297803 0.0990600273712932 0.0233745017121516 0.0626600636058649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.160055145178152 0.16936072410429 0.052227170523165 0.166053184230816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.217163270457953 0.228041443367144 0.0765143546061267 0.279738398182037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0303724066778391 0.0325495834083435 0.00304506393867487 0.00727400216347769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0921716039874556 0.0990567293934358 0.023374355795045 0.0626644896641061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.160050801271053 0.169353472360139 0.0522295230411764 0.166037553486368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.217138254534557 0.228021943424264 0.0765207799947345 0.279696198684747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0303597235447997 0.0327074568047339 0.00305715194499165 0.00730123911284494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0921630727745473 0.0990573023169374 0.0233750770481125 0.0626745616687386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.160051800358427 0.169351480675521 0.0522342218958774 0.166030490966039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.217116282075912 0.228004222361836 0.076527265064282 0.279659903232723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.030481693191032 0.0331937040490149 0.00308884522559519 0.00737727267273408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.092035293953555 0.0990596390621104 0.0233523159609604 0.0626655558403118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.159835068286733 0.169267673160612 0.0522010418490201 0.165847073468125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.216838296756715 0.227836202489651 0.0765319184076912 0.279262159198136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0327303839601782 0.0371565536899028 0.00331572242214553 0.0081757673833054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0920986731565743 0.0994661859773701 0.0233950687151347 0.0630596363248367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.159838205543976 0.169207819203507 0.052244740337613 0.165817326475693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.216570732161888 0.227569062327066 0.0765904482418781 0.27882246593893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0368890684690958 0.0428241852245527 0.00375381075781096 0.00955097549519533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0927206212541906 0.100537855208004 0.0235364023555068 0.0641065051760466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.160289265195907 0.169666779939567 0.0523658141311433 0.166688759967292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.216696281843006 0.22775356414903 0.0766727865884073 0.279419533708107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0307010516251261 0.0329194412766242 0.00303703792168688 0.00734519067686322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.092190647186509 0.0991437127717347 0.0233848682602401 0.0627387887017151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.160153733822365 0.169264441081643 0.0522484729117453 0.165969277470001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.217278044216908 0.227939351507484 0.0765428147236593 0.279617239944203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0314504935716303 0.0339705027296681 0.00307599544849646 0.00751823915636578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0919857902098943 0.0988089344397023 0.0233810645906455 0.0623870490085374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.159867375939015 0.168504764512168 0.0522245437831524 0.164794872601879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.216891294869988 0.227040019178041 0.0764899772304717 0.277766297486149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0340536696543169 0.0378485383510597 0.00324942809421418 0.00835618834611188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0917325104841583 0.0992177428212856 0.0232775677871846 0.0628211730776622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.159485022362502 0.168208547544008 0.0519675767007862 0.164639689884933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.216347377830328 0.226585147154277 0.0761111485660889 0.277217778885051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0532403456433329 0.0595105433401301 0.00592376992869453 0.0153822952551458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0955488439104851 0.105504297678335 0.0240406990922627 0.068538625129227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.162593969914286 0.170184402260822 0.0525069700081565 0.169115585629857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.218529941644277 0.227627164084842 0.0764285148337117 0.281216558844526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0764968103350365 0.0830029389786198 0.0113578848479563 0.0274144935020396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.104475482123048 0.116893470212372 0.0256769686648923 0.0800423385000687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.16956498539192 0.176307902398259 0.0536813225205631 0.180759624972467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.223814979756072 0.231861124337604 0.0771910072266271 0.292951270886502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0207705860417283 0.0355080836157024 0.00117228333707325 0.00695564515054131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0706811984331052 0.0920837944565558 0.0108338450227135 0.0479747926230831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.124358154050684 0.163538416788859 0.0276620039386427 0.140380389437874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.169197101991384 0.22685783267599 0.043660815834505 0.253675714733295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0208474160188244 0.0355399434353478 0.00117403429759312 0.00696560265433083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0706995149431874 0.091951716217464 0.0108225864015303 0.0478792369471674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.124411473747566 0.163401283598106 0.0276256122681147 0.140114239582077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.169343238643524 0.226600602983855 0.0436031234578645 0.253131288472409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0210907019008756 0.0356037832178147 0.00118448112885873 0.00698219114488791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0707323727626396 0.091937279380151 0.010826927408982 0.0478727370390739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.1244577003188 0.163419678548735 0.0276313639710867 0.140140247341103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.169401493262701 0.226588845726076 0.0436041012261284 0.253136568273835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0218394150183515 0.0359910972037384 0.00121905783058058 0.00705849993445916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0707292616453537 0.0920580081765241 0.0108598067350189 0.0479965900360801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.124467767480786 0.16368801951551 0.0276801948492377 0.140525949824244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.169336441465047 0.226837678685899 0.0436433112125535 0.253653659127024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0271764743431984 0.0385508749951792 0.00155234965982598 0.00759654358130787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0713708863405487 0.0921239509758689 0.0109496213255918 0.0481761473559283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.125140751620799 0.163599511310221 0.0277052137310637 0.140478924358701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.170071973678473 0.226249514071673 0.0435825372075979 0.252920295907915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.034183583761858 0.0425612757101131 0.00223770264258856 0.00854558961285064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0726771473692771 0.0925442448070634 0.0111261281102593 0.0486778364540097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.126046126964044 0.163732531757842 0.0278219014803079 0.140861324380771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.170892791131112 0.225910332578742 0.0435990600769866 0.252697349045484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.021456724758233 0.0360655541815661 0.0011939280379669 0.00711494080827416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0707060475534233 0.0922958741917592 0.0108725159822251 0.0481173185848331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.124262970021096 0.163765740301702 0.0277076144177611 0.140718412668852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.16901652786236 0.227133391885969 0.043709490531367 0.254229949831377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0232217833513761 0.0367312132900742 0.00126862654297135 0.00728569542546003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0708859563799184 0.0924135887223453 0.0109103236826012 0.0482158079402356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.124322867207596 0.163806470254287 0.0277296180462801 0.140816378877742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.169070390864666 0.227180828828275 0.0437258841462838 0.254383832650425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0280789659517901 0.0391668810253352 0.0015864764088763 0.00792110940485285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0716943408794392 0.092854210005447 0.0110570285748496 0.0486217218427437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.124995422547415 0.164111692767849 0.0278909348056409 0.141501640617215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.169804981071865 0.227529431000992 0.0438949053466189 0.255429535524006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0522776784388026 0.0538790906184014 0.00518633490257952 0.0126504080022297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0778329766892894 0.0968130439012193 0.011981903237124 0.0524063004663226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.127481460785589 0.166163755284212 0.0285652298957031 0.145978758363428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.171114757279922 0.228969130423682 0.0442986136464751 0.259970195375371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0794644409968358 0.0707080249677733 0.0121784060023285 0.0201509243148889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0891492603003307 0.105088199961255 0.0137728614347124 0.0606736370417771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.134527737580774 0.171154500489328 0.0297804598521393 0.155964593294484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.176531381125979 0.233176459171078 0.0449473921262288 0.271352570834225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0317935164173097 0.0340133341103005 0.00321770936693158 0.00672588037449679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0986608953318704 0.0922579833834996 0.0247156828038674 0.0502644408573149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.176585035730964 0.164121405662589 0.0590988378275808 0.145688239930692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.244623653679306 0.228318406930889 0.0905695501766609 0.263704653897508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0318186340359799 0.0339385532260503 0.00321852728558036 0.00670100489273474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0986662612938677 0.0922593445236564 0.0247182905349296 0.0502654740587572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.176587268312314 0.164114714609687 0.0590865518461648 0.145688307020706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.244648254002809 0.228317291607138 0.0905592180234414 0.263717264147955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0318942004427613 0.033950760387578 0.00322436556347462 0.00669053204656125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.098676461139529 0.0922583663471805 0.024724046794776 0.0502676300395069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.176594418542366 0.164106478620695 0.0590754363411073 0.145689791495887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.244675604417074 0.228318751897826 0.0905491712989841 0.263736216893244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0322902568353423 0.0340921586627864 0.00324966608038018 0.00671196935069055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0987222404469596 0.0922664271520083 0.0247341711601572 0.0502919502505915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.176618734745041 0.164115838543591 0.0590562728453859 0.14572929032687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.24473879056051 0.22832902674481 0.0905307185020459 0.263790251339785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0358701064428867 0.0366354979420595 0.0035260287657061 0.00730259535982381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0991076523324893 0.0926847377795291 0.0248547799166689 0.0506929078044045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.176738582985702 0.164536915758209 0.0590897914612171 0.146458670555012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.244886608368514 0.228801503746701 0.090558522061362 0.264848999654869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0412910502298441 0.0407874319818914 0.00409145791736988 0.00836098324927228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.100008723856899 0.0934708068204852 0.025019620398728 0.05140981812068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.177249907472952 0.165000889775809 0.0590519742084524 0.147346979295668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.245669291146375 0.229289490187887 0.0904612755917276 0.265982067417547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0322434011749649 0.0341469770227021 0.0032338203118449 0.00674192968274677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0986465572851205 0.0923355887347847 0.0247007155008281 0.0503411226116692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.17649728017149 0.164138611598174 0.0591150198290134 0.145738812861024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.244465110808042 0.228327093180151 0.0905917554698252 0.263742471264325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0334531338890564 0.0349112901539321 0.0033094085666862 0.00690894682561255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0987172792159373 0.0924731037951316 0.0247055611389318 0.0504824628395961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.176452269272427 0.164197026441875 0.0591396712496634 0.145860693763131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.244340296891072 0.228370996582391 0.0906193726556049 0.263862204868885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0369760192043666 0.0375540270735083 0.00360489142671382 0.00749356874405187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0991655191280034 0.0929471335717124 0.0247640946327913 0.0509400258609016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.176498525945141 0.164470446777826 0.0592217567618517 0.146340283892258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.24418795784582 0.228566324985753 0.0906866594104907 0.264339014291213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0583250931680523 0.056573165448972 0.0070663439827904 0.0136512932089491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.104261411586293 0.0984312668194701 0.0256479070265273 0.0559183492381395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.178847362310105 0.168162659218752 0.0601017376366929 0.152335113421805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.245247459055122 0.231480217721966 0.0913094828687775 0.270840568129702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0815041120182742 0.0789567451310459 0.0125650742151202 0.0243468070285138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.115052205385152 0.108919275768147 0.0275772895441835 0.0660617205959866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.185121718210235 0.175427376260206 0.0615968780860977 0.164321609338502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.249550467276496 0.236780525163797 0.0922023631891711 0.282992339490834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0638010545234042 0.0729011622775837 0.0144095838684189 0.0374790563885887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.165547982998277 0.196068998821426 0.0650388417831035 0.229229123085457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.2608109074399 0.302654856514226 0.10821665319486 0.494661528955357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.332608363206814 0.377575239975941 0.130997816345966 0.730392871234327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0638509060633312 0.072947523732021 0.0144132414981322 0.0374924583565299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.165549648925335 0.196070262977986 0.0650351884050893 0.22922017977077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.260792449807762 0.302664043393298 0.108225132195913 0.494665076079583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.332594799649309 0.377579351906716 0.1310021474296 0.730398379039364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0639206925018589 0.0730122089882853 0.0144229445220802 0.0375210401745833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.165557240668482 0.196069027810485 0.0650327315856472 0.229220768644695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.260780815978439 0.302677374522443 0.108233121226692 0.49468069324358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.332585413217362 0.37758667380167 0.131006549392069 0.730418121890857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0642665362963501 0.0733503258858825 0.0144606955484942 0.0376423235484215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.165601396701224 0.196096222218363 0.0650438714657503 0.229217982451275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.260793766953885 0.302711377146166 0.108271874854307 0.494749304375443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.332605293407636 0.377737005118082 0.130945574768309 0.730825070352831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0667288569845933 0.0755137221534849 0.0147895418715675 0.038730708114809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.166499229092875 0.196966739592473 0.065193292284555 0.230986232409235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.261573149560771 0.303931020948024 0.108387704156349 0.497953167675305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.333554709516187 0.37901596782269 0.130929791971773 0.735124735480294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0707318797048605 0.0788369436315035 0.0154083656002119 0.0406615474269298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.167672527992748 0.19776632579165 0.065399118808984 0.233067261443318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.262430118352784 0.304793119923689 0.108569132317116 0.500854190123738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.334139688108145 0.379903502738809 0.13108610864484 0.738512053161633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0638128875238654 0.072982155216217 0.0143898446752926 0.0374945451291475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.165413074608963 0.195814912811377 0.0650256658993935 0.228787797300369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.260498767828336 0.302372235088273 0.108145393079345 0.493876463614598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.33222077080722 0.377434995639316 0.13087109460416 0.729785044352962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0641725757622186 0.0733330082642822 0.0144290053655946 0.0375914115439758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.165348902661055 0.195666543319941 0.0650314641817212 0.228500874717295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.260295684070232 0.302194460772493 0.108113830189894 0.493130686022357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.331881151511998 0.376989463883842 0.130844264401013 0.728437770380993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0660854177474391 0.0753842590296713 0.0146424354450335 0.0385287129513905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.165930472418578 0.195854509417916 0.0652018771927359 0.22924623315146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.260681489762766 0.30247850252741 0.108106263274076 0.494104020339625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.332146538977457 0.377275246921433 0.13073684652319 0.729547308383499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0828152185355614 0.0917486636982846 0.0177609750526765 0.0488980222238248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.171595372813319 0.19929106724195 0.0667458796646511 0.238747952958608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.264659695334923 0.305465836940717 0.108354153889563 0.504579457802562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.33504588520125 0.379654947374977 0.130149711295419 0.739312992893326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.106196503799198 0.115046457269761 0.0242989223610668 0.0687994076982986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.182700661478226 0.207540535946818 0.0696245573935896 0.25943562808865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.272259994453468 0.311385968504067 0.109185589912569 0.526634641653374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.339802605249821 0.384364332194696 0.129901715977939 0.759836300518828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.03445712399123 0.00250348408718566 0.00334765417781253 2.3151149123487E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.108357671201244 0.00557743044733528 0.0267922507797839 0.000157058304102633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.182621436245301 0.00993021654792094 0.0665369300234545 0.000467719535564852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.242426895239687 0.0141385777280622 0.105798646343697 0.000910264874932608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0344143405689462 0.00264860122146136 0.0033451332515399 2.52476420781431E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.10835628775994 0.00561477611470022 0.0267897094121495 0.000158063377314212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.182643574954645 0.00991396632836824 0.066550429599544 0.000466562931881508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.242438949376516 0.0141189885803703 0.105810137973493 0.000908133178266681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0343997469446187 0.00302157023390523 0.00334816963910117 3.16106223135333E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.108352174923587 0.00570632902130601 0.0267847731908479 0.000160557179472448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.182668491290807 0.00991324532085764 0.0665654722592661 0.000466200655981247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.242452426517526 0.0141036583792429 0.105820690390131 0.00090642362036671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0344656495108044 0.0041608381098362 0.00336625272714009 5.59933266092436E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.108354858297116 0.00596797060918047 0.0267490032041549 0.000168514244061024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.18274608237423 0.00995949687416457 0.0665179972824926 0.000468103527355018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.242655264141215 0.0140822056581702 0.105844008621085 0.000903892791974184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0361618568393631 0.0102981020604214 0.00364416524036239 0.000300865261933853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.108458718762524 0.00727114529395785 0.0267220033442015 0.000219554992841391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.182968409803131 0.0103773045718357 0.0664580834666616 0.000491857996976121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.242845872287424 0.014183148250076 0.105710618477068 0.000912395775679457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.039781580110284 0.0170101407434107 0.0042106415993714 0.000782754051891099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.108607445107318 0.00888798011985992 0.0267374810475268 0.000303888300824663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.183250959599069 0.0110181665692069 0.0665270349167959 0.000536646641698317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.242822138518326 0.0144833672111264 0.105584996506617 0.000943754654220792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.034422794274181 0.00369834093365361 0.00335571790539385 4.5974398068414E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.108352360493022 0.00582869194373656 0.026779825959689 0.000163637459868902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.182635158205619 0.00998235654531649 0.0665407059144319 0.000468418935573009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.242392416950407 0.0141881641813938 0.105787569376651 0.000911981277161852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0346701850470139 0.00590643129736359 0.00341297867853473 0.000108523070699417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.108353665909453 0.0062716455113096 0.0267665533855979 0.000177706781140296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.182666664756603 0.0101144445356088 0.0665407770476297 0.000473775788834478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.242367979473592 0.014277922841648 0.105761609876194 0.000917673860271242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.036263965424959 0.0110109594286364 0.00370104264654221 0.000350156614139191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.108402189552257 0.00735971951665778 0.0267355898454544 0.000220912069149745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.182768585864472 0.0104879988865718 0.0665220237952141 0.000494041620862687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.242359662959845 0.0145361730134357 0.10567407448387 0.000938806234845862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.052795296080668 0.0325318470257402 0.0069463909364327 0.00282183335167905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.10918528838446 0.012928886233543 0.0265640558772845 0.000582707430890337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.183383189860015 0.0129148917490285 0.0658843527563569 0.000690203359022069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.242363524341365 0.0165973474187195 0.104254050694107 0.00116542608362528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0771262513714482 0.0569113493710303 0.0133776859829561 0.00835030513285615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.111523282045646 0.0204558438530182 0.0267442312849355 0.00145984228641993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.185749701401504 0.0167524232798638 0.0655902223340435 0.00113721586680054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.243976464425072 0.020020087295562 0.10302236437252 0.00164929625015081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0106382466984796 0.00528759027314246 0.000425979176909222 9.10498613554962E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0274019771939119 0.015523985900765 0.00211337929725223 0.00076459030514335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.057315145266301 0.031393815126505 0.00751172955653152 0.0027843090370495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0902729002799676 0.0480659724406638 0.0155157173742739 0.00582844770587551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0107387830331224 0.0053572896152059 0.000432649720872205 9.2995749566193E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0273983348907263 0.0155220530946227 0.00211416450363936 0.000764634791041988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0573039116379813 0.031389495594366 0.00750682791023572 0.00278377026231859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0902787953456572 0.0480595209573428 0.0155119148464113 0.00582705068519073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0109118613278878 0.005597553915685 0.000447449636755498 0.000100357417377178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0274190481743232 0.0155381203856836 0.00211631152707332 0.000765316970043674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0573024953259433 0.0313886472932577 0.00750152797888307 0.00278322139232586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0902845310817641 0.0480541875257008 0.015508160427378 0.00582563186191574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0116445032545284 0.0064925845992317 0.00050524301334117 0.000130111594286182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0275150175851413 0.0156065890401221 0.00212305085981336 0.000767233236702749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0573259170037783 0.0313999408860728 0.00749446447108688 0.00278332690053802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0903057837262761 0.0480592138670015 0.0155019256244526 0.0058253240476935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0181675256680226 0.0126284936385308 0.00111292445463736 0.000440455761948563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0288615061627436 0.0164628401468922 0.00219967998526476 0.000799319478626565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0576510925732239 0.0314481936925017 0.00749284017079501 0.00278776446185698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.090527126336799 0.0479621343011684 0.0155043976334321 0.00580998264972189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.026925788114635 0.0200213884027874 0.00228003893346013 0.00104667290977685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0309565764331694 0.0177820690941874 0.0023406484754361 0.000858444500628722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0582833582950615 0.0317085568574584 0.0075059590228408 0.00280699696504809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0909648384510286 0.0479867800848537 0.0155179036221567 0.00581381463866682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0114757178940745 0.00597300618335043 0.00048794056413179 0.000114095779251916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0275687955977785 0.0155992561087632 0.0021203627938938 0.000767481066496838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0574647239409935 0.0314137356646872 0.007523657918287 0.00278545318459676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0903919988911962 0.0480974889106607 0.0155280796260562 0.00583057876560753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0135007400762351 0.00781463540475637 0.000651146469039548 0.00018448010070105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0279144726495466 0.0158467894664035 0.002135053894678 0.000777028716015536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.057625699838278 0.0315273877536206 0.00753326833349105 0.0027923834226171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0905207270933481 0.0482431314456734 0.0155355879279007 0.00584337855614167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0193985630929352 0.0128286726442202 0.00123898435674684 0.000449501373490641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0292065056358053 0.0165963360451961 0.00220688457194806 0.00080970583485125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0581766903884324 0.0316063792592026 0.00759680063622437 0.00280296396342858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.090866881024706 0.0481762559817971 0.0156256169071763 0.00584285824481315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0490462160905964 0.0353978222254841 0.00693218055416656 0.00300327564231407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0378730072400632 0.0220728626353923 0.00291837003530074 0.00113616282171485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0623107477788065 0.0327684007216557 0.00804757432826656 0.00287679375513776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0933070262157876 0.0484002011894544 0.0160190882012209 0.00583633423227275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0789561712849725 0.0587928908142701 0.0175336437953335 0.00762680040766867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0490776878016847 0.0287940774406629 0.0043072023746356 0.00172578423863923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0687732450006203 0.0347751919482166 0.00880141721220713 0.002986055334992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.097815989535863 0.04851002472561 0.0166401280228247 0.0057466087383008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0300125668357925 0.0367464945243012 0.00325640853173456 0.00925728970153104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0993818097526813 0.125884331768423 0.0257904058638394 0.0973600687126106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.170844544328966 0.214997309514622 0.0575596503436014 0.258552859673698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.228330752855068 0.287036008175003 0.0841055611860088 0.432128414961812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0300400891534123 0.0368345516644616 0.00325432252750748 0.00928896911282091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0993807456693891 0.125894560111521 0.0257889943053356 0.0973703792558284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.170832443318601 0.215016412565224 0.0575611258903097 0.258577605278294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.228304864714837 0.287037213353977 0.084109621970328 0.432143444703344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0301290992309016 0.0369698576532197 0.00325440701951056 0.00933477156628737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0993826724328017 0.12592934930223 0.0257855863566142 0.09739257600759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.17082608956826 0.215035949962451 0.0575630882244157 0.258608672733673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.228284237480589 0.287039625743149 0.0841142387863836 0.432166030261841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0304863148802709 0.0373826805060928 0.00327067193667851 0.00944257472588692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0994269396727017 0.126024321357303 0.0257888040325261 0.097486422113777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.170820153228955 0.215084697015314 0.0575708313061033 0.258695264550172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.228246844530581 0.287050770406293 0.0841235176960564 0.432234205844538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.034285760379368 0.0408434859166081 0.00351991506659294 0.0102887012009102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0997770741722493 0.126439488550684 0.0258204233679866 0.0979227759495511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.170739440215094 0.215271506749735 0.0575909781461593 0.258939497011729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.228071652561519 0.286885455026732 0.0840869863473351 0.431988668513843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0398947380274169 0.0459948797991647 0.00405652198000404 0.0117738066421076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.100783138614632 0.12722534357109 0.0259673027618953 0.0989302586442937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.171143040443644 0.215822775274371 0.0577222795846323 0.260188498220627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.228261765147634 0.287172659249832 0.0841751966422561 0.433098792921556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.030257472189496 0.0373079114152703 0.00328790809934326 0.00935900238724022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0994846530590446 0.1259125633902 0.0258170470504205 0.0973993096155754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.170854424831257 0.215021053033171 0.0575711600055595 0.258584464013887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.228253362621553 0.286965309206073 0.0841020234164754 0.432086187260165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0314986616848963 0.0382646295283939 0.00338253459701216 0.00954139466981105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0996707958543994 0.126042627066924 0.0258532047088522 0.0975848049814597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.170914273502339 0.215080640828832 0.0575921783266719 0.258713056874374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.228212347044898 0.286922818854329 0.0841045512243239 0.432141146862489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0354296746222968 0.0414181740412837 0.00371670807519332 0.0102496364059891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.100002559328466 0.126177132125948 0.0259103375566873 0.0977976116837519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.170736274825517 0.214882680104778 0.0575713180395296 0.258308869054349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.227859731987783 0.286380717721317 0.083944312585061 0.43105630795583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.057468044063629 0.0609931845127137 0.00717749203046093 0.0168790642502267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.105903941275118 0.129890248122683 0.0269069338210951 0.103587585717122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.173620924737887 0.217500343829022 0.0582050391035453 0.264834192682011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.229182382110933 0.287661459492901 0.0841935306714366 0.436856721401062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0834294295983278 0.0851141047401008 0.0142474692951918 0.0298311409891174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.116847201641473 0.13851098085045 0.0289326859402439 0.116268285005489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.180498148522454 0.222751664464104 0.0595919597490783 0.278751284884466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.233845612977537 0.290778192050797 0.0849377215117601 0.449627726267448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0713886949587841 0.00896998365984777 0.0152131372123294 0.000314022671912131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.184653234710067 0.00685652558652437 0.0889197946692581 8.10228425989089E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.290708746483784 0.0109419282999533 0.194710326638658 0.000142845631487443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.368710575789729 0.0144471480907387 0.284007438104572 0.000182541915729669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0713652904136268 0.00909802476242892 0.0152107299412491 0.000320520536494974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.184623495259801 0.00689620071478154 0.0888887699941471 8.16328413960444E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.290704983240764 0.0109614006110585 0.194704710318933 0.000142818163266787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.368699041580042 0.0144680773809508 0.283981686108435 0.00018223076306723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0714222895378276 0.00941979922876795 0.0152277379406075 0.000339856036528964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.184602429531063 0.00700433644403666 0.0888630977472033 8.32747305920961E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.290698741690169 0.0109952843126532 0.194694475115326 0.000142911351657837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.368687227407483 0.0144894640476021 0.283953981025287 0.000181919970827973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0716423617689028 0.0105192373752981 0.0152843968800321 0.00041257126345217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.184552039999844 0.00732824762776483 0.0888025077215373 8.88355224622803E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.290689330503435 0.0111061257803214 0.194668705570143 0.000143586332415358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.368666809682604 0.0145340411550868 0.28389406062797 0.00018134270503584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0733671029561063 0.0187489272360551 0.0157820121492978 0.001141518131957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.184450748532504 0.0093405919026131 0.0885999825495837 0.000144172107754779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.290703520213808 0.0117467306434673 0.194565377111429 0.000151298637773412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.368615258262585 0.014743507343982 0.28360036036931 0.00017956901062896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0761403307466529 0.0288550419142478 0.0167230283853451 0.00249008300675361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.184532778631883 0.011587222187482 0.0884731928370631 0.0002510091306857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.290785168770195 0.0124145935197448 0.194432710511289 0.000167747768988836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.368594199183172 0.014869110950137 0.283200862273651 0.000178737609323789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0716555312064487 0.0102157978588392 0.0152718290049522 0.000390843696923996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.184691034070125 0.0071945814468871 0.0889402547061799 8.66282302335474E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.290713168698869 0.0110299384972645 0.194730627902903 0.000145316255893236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.368632140457507 0.0144380465600017 0.283912204274292 0.00018511451163244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0722911612577508 0.0130382607460374 0.0154116632713856 0.000598077830063349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.184752211990206 0.00790109344353255 0.0889668595998084 0.000101564051747126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.290719475749834 0.0111992420415599 0.194731561742 0.000149226484820239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.368564252361507 0.0144700398642091 0.283806018638079 0.000188136044184446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0742151803113422 0.0210174649020479 0.0158932115653945 0.00138694832320678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.184882224219139 0.00969885286443415 0.0889086039763277 0.000158566675988551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.290825249920871 0.0116075928130797 0.194595395240538 0.000161738710873913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.368723730131576 0.01451048947945 0.283659918348235 0.000195647578894135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0870944471335222 0.0561321600955959 0.0201494923042071 0.00871648755382455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.187491295760186 0.0181870325848705 0.0900933476416091 0.000774390861427618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.292522670001841 0.0131257790754193 0.195041496311756 0.000285108024116763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.369592589266594 0.0139709932883152 0.282875771662972 0.00024648136666509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.10767336349589 0.0886640898742761 0.0286786059418821 0.0209378978462137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.191574324817521 0.0273646578607381 0.0920645961973551 0.00211534558845068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.295120029499793 0.0147891176001632 0.19528079401676 0.000591514612429704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.370919175497539 0.0127392298685448 0.280792655291208 0.000372708251041192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0448407722985253 0.0484201876801915 0.00766835433430421 0.016964326991741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.135006350252199 0.146751687418358 0.0472660209307549 0.137109050397705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.228735143695084 0.244833015406631 0.0930642565945635 0.340289223883978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.30737791629788 0.323060707059448 0.125423011316293 0.552130923122055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0448446408109207 0.0485054161316533 0.00768398136744547 0.0170200570582714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.135161629809933 0.146951940261881 0.0472988791685147 0.137368854924646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.228984368652063 0.245163088700001 0.0930865530480036 0.340992307982261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.307720758332558 0.323480229787134 0.125391769595991 0.553286063675517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0448494893179056 0.0486175754430481 0.00769170843259246 0.0170638630229776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.135161531465664 0.146958388623113 0.0472983320142985 0.137365098710367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.229019252825044 0.245159758246436 0.0930926666153874 0.340998971398881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.307757938718185 0.323468522614039 0.125392967363521 0.553276727657202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0450595079422998 0.0489962781881547 0.00771608911618619 0.0171960443657924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.135184133831956 0.147000002840849 0.047294262285999 0.137411097589603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.229095029713017 0.245154816360434 0.0931118772996256 0.341027599205359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.307840505256764 0.323452490055555 0.125394154355213 0.553285070370794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0478652352201073 0.0519960135440731 0.00805763257190246 0.0182388646699588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.135637281149993 0.147373157861317 0.0473856260492243 0.137986926716177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.229581867049789 0.245288727109163 0.0932298145660665 0.34161504475253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.308303865930668 0.323471507354576 0.125405583448528 0.55369320675257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0532679606022441 0.0566032060050248 0.0087717874942826 0.0200065477540369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.136462486627915 0.147905550377672 0.0474998168921871 0.138930626411965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.230057384302604 0.245275292888582 0.09333480128878 0.34214403260453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.308538870214566 0.323178593101371 0.125372855174668 0.553512705936501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0452020964191366 0.0486399227548455 0.00768523972474573 0.0170380736379103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.135089041687316 0.146805637324144 0.0473062811796615 0.137159468326651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.228773159174859 0.244907705321157 0.0930516863207393 0.340380073060724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.307414033762913 0.323123212248862 0.12535949522932 0.552189910460494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0460116479082048 0.0492633480369566 0.00775044461478557 0.0172270203906749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.135218334593719 0.146927818839527 0.0473606949160376 0.137328258797946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.228854881622388 0.245026562357088 0.0930526509574446 0.340603042074533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.307492507936896 0.323208369686284 0.125297191727986 0.552346053134318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0492879151458409 0.0515812360331555 0.0080947863539328 0.017992076302211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.13583846604174 0.147508832675886 0.0475288705132342 0.138105025781482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.229169945884937 0.245592088333956 0.0930651883048448 0.341725544973052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.3077378131233 0.323774302158352 0.125159337006729 0.553644263118589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0714248821185135 0.0683844041988069 0.0118359070254761 0.0250364646646828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.141928430014732 0.152259094014215 0.0489087671768424 0.145467816431411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.233273080751159 0.249048204619062 0.0935789346796021 0.350682270477505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.311034587915603 0.326516978068672 0.124771252245262 0.562311821209062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0982352369286537 0.0894445765584818 0.0186361537265851 0.0381773190127506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.153692429839255 0.160615054343431 0.0515713014922359 0.159716419792646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.241785257116991 0.254635831064004 0.0946829966048122 0.366715437571092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.317383377254345 0.330888534456737 0.124539104266488 0.577860257278913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0366885308379359 0.0297096827516511 0.00520892831567314 0.00577240165123821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.120411700934105 0.103056648289613 0.0425862042649881 0.0643966591086426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.21005033011824 0.181407965246385 0.0970642984798592 0.180355220122527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.285780317331187 0.250243171031983 0.144211868947207 0.319592796263249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.036773899377283 0.0297544432120123 0.00521717576611194 0.0057803321656492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.120404612199433 0.103068150855533 0.0425805355770425 0.0644016664324317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.210069836139828 0.181405824632386 0.0970726226129328 0.180354309874587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.285792185846301 0.2502436637818 0.144219763422397 0.319598792215569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0368904006950909 0.0298501930421988 0.00522799091176572 0.00580348281199739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.120409981655635 0.103074569762808 0.0425783918914262 0.0644054033618398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.210090935794773 0.181407859274158 0.0970808998358765 0.180361077275245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.285807845236728 0.250247811868941 0.144229567335495 0.319613706646761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0372337619469409 0.0302190286614599 0.00526266483758773 0.00586663399126397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.120435843241823 0.103141988126758 0.0425795003446997 0.0644554158127226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.210141084638235 0.181421211518685 0.0971021934855981 0.180392358739579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.285845970011349 0.250266085079602 0.144250894963106 0.319667260979238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0398394274714679 0.0342739967979041 0.00559163586443822 0.00658440857281337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.120788537478001 0.10360447580164 0.0426518768064434 0.0648837519410655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.210455198723983 0.181684133595331 0.0972373976000303 0.180878634532301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.286080919012747 0.25046848553373 0.144355311769057 0.320200899993721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.04417072460719 0.0405815718936457 0.00616790230817578 0.00797282558425062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.121794751871586 0.104743594024633 0.042942271629084 0.0659481421494362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.211270770599503 0.18262299638382 0.0976238048696165 0.18249187439143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.286706378427969 0.251299033780449 0.144691217090007 0.32219273441925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0369225712349645 0.0303506431690892 0.00523486099980486 0.00585625968044834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.120369031121559 0.102949069311809 0.0425678675580644 0.0642655412879169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.209815445797878 0.181274795885275 0.0970235512271965 0.180065969984124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.285529659228485 0.250061073584674 0.1441802092902 0.319081199341787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0377251015846318 0.0320376511196468 0.00531657661208265 0.00613671691490239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.120543539861726 0.103048204914987 0.0426102748701808 0.0643287924696194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.209855042542138 0.181348989396127 0.097060327723092 0.180199918632572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.285559841828323 0.250126286825419 0.144171981413596 0.31926827771108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0402227418288007 0.0366112209625563 0.00561198889543937 0.00701482906232405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.120928535906186 0.103356101215426 0.0427154779833495 0.0645671568702945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.209916579562336 0.181418619599392 0.0971749838323832 0.180365931194227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.285435381281207 0.250147009767688 0.144155837877347 0.319413510596871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0572142207085651 0.0601059323785023 0.00851223284167266 0.014143524715946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.125295589679934 0.108819095733477 0.0439828188255801 0.0693778122771165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.212033597608299 0.184903272854752 0.0981867044965516 0.186472302936393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.286851836955003 0.253057854259753 0.144522674291511 0.326491503782667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0795737218717693 0.0859136923158023 0.0141368017728057 0.0270759506687136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.133034107297675 0.119314927466063 0.046437861547397 0.0795953745921871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.216339844654684 0.191823720575381 0.0999161319160306 0.19875863171107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.290165448273977 0.258623006061115 0.145218783599416 0.340126740185893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0219806525311193 0.021892564821707 0.00162107555380149 0.00313759968930138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0661220406256019 0.0710292432080218 0.0140920150538113 0.0342261253500222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.121451327016315 0.129839483156063 0.0357436606103934 0.103002647399557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.17209349365027 0.1831313172489 0.0578312330964084 0.188111447819918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0219175363899438 0.0219271392358616 0.00161687833441821 0.00314227850011676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0661411915061709 0.0710412288483817 0.0140894867055944 0.034227192568332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.121461796967378 0.129851237454304 0.0357386854452178 0.103015753669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.172147731995555 0.183130222853805 0.0578239901593552 0.188127492618246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0219953531942804 0.0220529574261847 0.00162065102215327 0.00315693602504219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0661718210006467 0.0710490846690681 0.0140877434506178 0.0342329395899446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.121477186634906 0.129868262459844 0.0357334425469328 0.1030364144008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.172205278946333 0.183129599063436 0.0578170737316497 0.18814702905158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.022414055309298 0.0225114314487709 0.00163748512329212 0.00321217864184954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.066143452871093 0.0710388170705145 0.0140747652469732 0.0342161140532156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.121365553594335 0.129827803723028 0.0356965884055993 0.102956109563054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.172148265678005 0.182996668025435 0.0577877534468672 0.187937975212881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0272604786861951 0.0268751989349993 0.00196875864737335 0.00387253206856829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0666341950582097 0.0713388094645153 0.0141246618243269 0.0344390512797699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.121634558832832 0.129985355874129 0.0356912929033756 0.10316467256617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.17263406257881 0.182911863363915 0.0577817499005274 0.187995887335197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.034177515791077 0.0327167081723782 0.00264826595279344 0.00493376794512822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0676458036493929 0.0722156933891397 0.0142487001041482 0.0350102863327476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.122107534292487 0.130346433962157 0.0357200587413946 0.103688514884277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.173175978421842 0.182942083796765 0.0577567827964031 0.188383271551525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0223102105986174 0.022423489361343 0.00165285281203013 0.00320889348404677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0661182920621472 0.0710432887501404 0.0140879845919232 0.0342441674279421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.121630907300285 0.129811623676063 0.0357752874912221 0.102998577863724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.172220635735735 0.183087208395856 0.0578590749023049 0.188087359297666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0239222287807462 0.0237168499832395 0.001771570064497 0.00338438811820761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.066218049488679 0.0711215508240594 0.0140987759944907 0.03430754345583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.121855026629098 0.129814720243584 0.0358162537656107 0.103042687810203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.172378486600465 0.183066150934816 0.0578913616361012 0.188118261759644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.028403226927721 0.0273732996545166 0.00215419118355105 0.00396212490122995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0667728746914732 0.071590858016125 0.0141531274680406 0.0346354309414643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.122433189663 0.12996761300816 0.0359202141200857 0.103348943796529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.17284586973845 0.183094002146945 0.0580025119332827 0.188431590068351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0531011223492489 0.0472869619276738 0.00611524384344856 0.00882663143561642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0721033467403806 0.0755656379340211 0.0147439987273152 0.0374351786580688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.12566921050089 0.131538344348187 0.0364206249240011 0.105851159828751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.175016363233388 0.183442998234858 0.0581744964116533 0.190316015455653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0783523768449491 0.0695234631765281 0.0125512850758422 0.0176361371800763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0824244360698977 0.0838700870218306 0.0162909458738198 0.0438035789480426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.132202001677196 0.13601585371856 0.0378378880873571 0.112596498974291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.179838848302176 0.185839748098818 0.0591127095531316 0.19662205310117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0171591948574113 0.0231858442812092 0.00082773924825393 0.00264373068407935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.051328601960494 0.0637806592998055 0.00625333317659686 0.0239868489097859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0965538176106602 0.121876473021483 0.0184700803625917 0.0808699029671855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.138938434839738 0.178931795454374 0.0327090565264401 0.161578931711762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0171814850562868 0.0232694127322242 0.000828377015087691 0.00265249162301038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0513342185061308 0.0637816541215578 0.00625421751466775 0.0239908254958024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0964983377959849 0.121917570137047 0.0184592907151432 0.0808981036648197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.138875191254293 0.178977142756938 0.0326867086121858 0.161618431420762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0173085077633097 0.0234243873799921 0.000834256930697388 0.00267182397199825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0513514477935318 0.0637907521008144 0.00625647436402864 0.0239992883572251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0964456533765622 0.121960326558473 0.018448360045499 0.0809298593263147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.138815212920035 0.179025579553315 0.0326650656612229 0.161663399746249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0179784809898296 0.0238652439571314 0.000864046815064668 0.00273318390903618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0514299021751323 0.0638249675115182 0.00626293688140336 0.024026548985216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.096354406422479 0.122053873879996 0.0184298613000518 0.0810062648954468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.138705024389507 0.179129974555115 0.0326233556934275 0.161767116924379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0237545121843695 0.0280322703437074 0.00122758179238144 0.00335232039703023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.05218965569102 0.0643420903588351 0.00633150722323161 0.0243176448233937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0961589700854219 0.122528255102888 0.0183778014026259 0.0814798021798615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.138384561271664 0.179628911986156 0.0324778763917799 0.162378635081544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0313646412741947 0.0343980708604635 0.00198977544748609 0.00453385118655064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0536768947816752 0.0654232891607159 0.00646034114899855 0.0249036535753022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0963009657266404 0.12318855246757 0.0183722563454623 0.0822370232024622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.138267420725288 0.180248142863437 0.0323639892740684 0.163289428200402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.017797945051417 0.0236417092972653 0.000846522300651221 0.00270461763960389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0514424978462915 0.0638191331541448 0.00625243741420407 0.0240152242048116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0965762963935728 0.121867036163019 0.0184491620344642 0.0808872708603643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.138955847364502 0.17893223624774 0.0326532785935916 0.161604371897551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0196927856737852 0.0247623711583615 0.000933190736804886 0.00285995240252356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0516754451305887 0.0639184396487626 0.00626127992419314 0.0240857903700194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0966375475451085 0.121892502627454 0.018433808582055 0.0809512972682533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.139004161346405 0.178951920573425 0.032604090998186 0.161680619248115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.024995094962692 0.0285785302824667 0.00130619642811958 0.00345351260498037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0524903725325156 0.064378871279594 0.00630621796975411 0.0243637233449715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0969036422538785 0.122059257605236 0.0184255929035783 0.0812330233440867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.139191697068903 0.179067587610245 0.032522854975667 0.161998209250126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0525863582417408 0.0517120010015848 0.00561895844407201 0.00911786523157532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0592345147176667 0.0692000582524116 0.00689199224649119 0.0271691133566966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0995882536587946 0.123736306550205 0.0187024962098447 0.0839561875797905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.140832120727078 0.180024052036961 0.0324607655658083 0.164686856703834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0809187681481831 0.0778226220439837 0.0139319698042228 0.01976988669761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.069443536433143 0.0788498991533905 0.00810642505821325 0.0334984073910319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.105547910448416 0.128503380384398 0.0194648950509841 0.090843529141008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.145133593101275 0.183153256571832 0.0328534507911281 0.172157028812115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0287463397593571 0.029673980397007 0.00244204878821986 0.00475726793778853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0763366613442127 0.0757036348477139 0.0160742012259477 0.0334167170400657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.141667255506857 0.139752676696779 0.0437234573656397 0.106161750954392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.204391827119271 0.201836010364409 0.0746454042634823 0.207357696560439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0287881505116001 0.0297355839062591 0.00244152906622825 0.00476948107339902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0764523830040241 0.0756835761966896 0.0160680053624062 0.0333890506801856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.141912552503489 0.139596091316146 0.0437177366387086 0.105972888408838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.204733860831324 0.201631985596925 0.0746571919228875 0.206997579985659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.028835654535581 0.0299210758908126 0.00244554536187183 0.00480598826415852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0764500278767017 0.0757111944250015 0.0160679337557299 0.033404093745635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.141936205192608 0.139578608989145 0.0437265695228928 0.105963563527326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.204744714011948 0.201605327314971 0.0746688211262793 0.206955954110854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0291861610053206 0.0304900660979876 0.00246899858542956 0.0049194765776403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0764866375882621 0.0757881207176751 0.0160690163200152 0.0334500095732698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.141996482838585 0.139564106305148 0.043746107398197 0.105963932428288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.204773587976463 0.201563495063941 0.074693523103108 0.206896140579964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0327947040003257 0.0350685144465358 0.00276794961654813 0.00583133113647453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0769375498561259 0.076490539846944 0.0161335782563948 0.0338658279054561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.142380292164884 0.139714852802473 0.0438573923928129 0.106231334795974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.204987032857174 0.201546197662961 0.0748145785660172 0.206941540922603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0381662142968509 0.0412884385162564 0.00336088861494612 0.00730094652246656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0779682030345087 0.0778104629955824 0.016276544348677 0.0346712655867962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.142975889188926 0.14019070231193 0.0440279484927029 0.106914439595679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.205352339466449 0.201741295863279 0.0749681479104199 0.207414716675646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0292803025070718 0.0300547396548394 0.00247650921130112 0.00482558290193829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0762700864452198 0.0757480142726632 0.0160865319918146 0.0334314597556316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.141700141492594 0.139764590452166 0.0437347706765268 0.106160738817687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.20438849179346 0.201841562402328 0.0746294032450898 0.207322430784556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0304688721297651 0.0311290315511411 0.00257397542226314 0.00502177245473601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0762725905658447 0.0758239772158556 0.0160996662736745 0.0334487766754323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.141637169708085 0.139714841629228 0.0437341890166407 0.106042276076424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.204246966221808 0.201735485424419 0.0746188378079592 0.206991757253153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0343831996404401 0.0349150680955973 0.00296198808794424 0.00577829533180071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0767651426923641 0.0764765366246663 0.0161956290524482 0.0338181458384841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.141933015153235 0.140030166503406 0.0438049200975698 0.106416328098514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.204372214611179 0.201938296870979 0.0746135306317267 0.207296103458513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0569186050769537 0.0563832194418875 0.00693210380555571 0.0120920572832452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0823891954813321 0.0830314293088939 0.0172046507596367 0.03793579280966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.145006095284901 0.143447015608472 0.0445103154909787 0.110767659942558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.205982255679549 0.204250733291295 0.0748053665659574 0.211472333569437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0828564331102667 0.0819244915094114 0.0145105475153003 0.0239992314342167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0931306579563495 0.094022427024235 0.0192933112385809 0.0460313025304761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.15171792377038 0.150929679732957 0.0460048988812883 0.120645030832045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.210316162947459 0.20967692686683 0.0754679863012323 0.221741968578231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0438944268811062 0.0554798895091822 0.00783756360404077 0.0204095101984212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.132803590321133 0.163541626787977 0.0478654783891014 0.160342627816945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.220646549995765 0.271903683058634 0.0942747602339647 0.397628375766682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.291862965257064 0.355438299822261 0.127155103422235 0.64153508672456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0438605719115012 0.0555091089528382 0.00783982316993167 0.0204217206734611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.132813821757116 0.163547883098184 0.0478716764293947 0.160351947186694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.22063401049209 0.271934033394198 0.0942696113167187 0.397677864429244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.291864940691648 0.355473342015527 0.127131593752767 0.641601178008003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0438325541018272 0.0555247630168618 0.0078399121896759 0.0204093646601509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.132657002946831 0.163418974522728 0.0478352475145147 0.160074366684355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.220367805653512 0.271635082819087 0.0942194254237234 0.396917469776951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.291519857025215 0.355134147597153 0.127081065295113 0.640540274283868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0441165690658273 0.055758125050723 0.00787047265191547 0.0205045471899155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.132722979828795 0.163445997274281 0.0478565636230416 0.160125498147536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.220359036620163 0.271714078374761 0.0942098247672901 0.397081033131266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.291533404485431 0.355220469732528 0.127037687340402 0.640732895366452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0473968875791162 0.0581572244067242 0.0082138426608746 0.0213817160172151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.133390119508923 0.163788611494896 0.0480462766877668 0.160878743585137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.220794689462182 0.272276999729268 0.0942846115023116 0.398552234811047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.292070902325312 0.355769201788029 0.126919446388131 0.64240762330047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0524338310840263 0.0622935093328341 0.00883057918615544 0.0229813461666349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.134130464239915 0.164232056870519 0.0482471687579789 0.161910236969499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.220913241943274 0.272673429366542 0.0942543623990764 0.399734676743332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.291993530119236 0.356060480476968 0.126680195915636 0.643313440090265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0440476650432138 0.0559102607643072 0.00784698429134657 0.0205786779569647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.132999393230123 0.163732635829986 0.0479472855802967 0.160672865611063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.221037005549465 0.272157053327029 0.0944170074343432 0.39830054590221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.292240750367217 0.355715671898871 0.127303864847039 0.642522284566578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0447119223490867 0.056494611867082 0.00789222230255924 0.0207822515968984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.132889872735085 0.163664390463659 0.047948802677039 0.160548377546966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.220912696524242 0.271838660344729 0.0944412505619963 0.397596341390845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.291888277061428 0.355287696364162 0.12734503439323 0.641393331071964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0477529316329566 0.0586994717158597 0.00815573924710844 0.0215772421249824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.133217551369068 0.163960490143857 0.0480774532577725 0.161223849879864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.221300593703938 0.271959670336795 0.0946079740572917 0.398146806121465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.291957470025274 0.355252075093425 0.127493959271014 0.641717784036929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0671966712113802 0.0752277494770504 0.0111877385656706 0.0291736566239531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.137834240154848 0.167712192045007 0.0493798541194345 0.168818136655175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.225362214409193 0.274647876948049 0.095833934542254 0.407151697623641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.294388176030388 0.357017462287189 0.128357580682018 0.65041961774212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0907361213602028 0.0970891820992824 0.0169926888194907 0.0433366937898587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.14665122224676 0.174651014584409 0.0516921259318948 0.182924683421755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.231666947817111 0.278790639816461 0.0975582003325824 0.421558584087343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.29805626812862 0.3598012349886 0.129371504811942 0.66352266581621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0270701106265549 0.00442372122696621 0.00205607568964136 6.34595733891937E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0839884048675193 0.00475488120991605 0.0167633759835132 0.000101584945734609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.150228253067022 0.00868370811596179 0.0476421016896175 0.000358706940937343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.20949557286259 0.0127448313013458 0.0846845301023062 0.000751170742469199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.027161135054385 0.00455373242513115 0.0020646650692008 6.61424494989085E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0839877725111761 0.00477274209807354 0.0167596612199495 0.000102027530760487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.150216496277625 0.00871169065057329 0.047635073570908 0.000360540448780489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.209467201060047 0.0127745416471557 0.0846573736679845 0.000754034604695169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0272864087378979 0.00486097513405636 0.00207790615886921 7.32563718399408E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0839828875497629 0.00481642794601041 0.0167539847957502 0.000103211316846819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.150202710787199 0.0087552747264688 0.0476258907509573 0.000363090340667805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.209439735211588 0.0128122552148807 0.0846296976331232 0.000757414032270969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0276604454982259 0.00587451447210735 0.00212606500398381 0.000100851632688241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0839736014163274 0.00495274033098388 0.016742066012901 0.000107163411782452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.150177390772774 0.00887583517936811 0.0476072875929063 0.00036974385652787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.20938732600089 0.012902271239205 0.0845718786282492 0.000765196362956229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.030137796690903 0.011583255528686 0.00249838059293405 0.000357921437037705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0842095018053227 0.00607171411297161 0.0167416596912658 0.000146039112418488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.150136242977567 0.00954074685621767 0.0474757938078179 0.000408714440688333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.209165693262375 0.0134144341674413 0.084134411823962 0.000809833996161465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0342391769765691 0.0180373143050339 0.00317537982708584 0.000845424845895666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0845780096459195 0.0077097291266619 0.0167778760489757 0.000216813607873596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.150163722643537 0.0103827331266579 0.0473946036228542 0.000464306212510669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.209030484867487 0.0140807769082415 0.0838270863569817 0.000870147875949085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0272596696295768 0.00529452234382569 0.00206867397910237 8.56494334481123E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0838927990278854 0.00491100310568362 0.0167346361042927 0.000105901825765763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.150235282278069 0.00880563715052238 0.0476483397282075 0.000365808721914328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.209500044231283 0.0128636977321691 0.0846983173259955 0.000763284165093741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0278737471964213 0.00733519463471167 0.00214004463827187 0.000154006040575346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0838233194012647 0.00527143616903054 0.0167079388625981 0.000116927891463014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.15025501635916 0.00900613475215976 0.0476536794151599 0.000377168748785787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.209508847202216 0.0130293667529836 0.0847018162130836 0.000779263735348271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0298382698926553 0.0123715566753709 0.00242699651348133 0.000419365976209786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0838544423727558 0.00638184502403465 0.0166892461291057 0.000156809030410843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.150325832769954 0.00954114489461783 0.0476562260029258 0.000409361705254307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.209554070078938 0.0134263064487204 0.0846848421994823 0.000818927322243526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0474517344962117 0.0354613717561368 0.00569289377686352 0.00327649231471621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0852503915336833 0.0126642614289502 0.0169067471554937 0.000522414376922827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.151088394299426 0.012455139716355 0.0476727343992796 0.000643227805956231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.210226778316513 0.0157388505722237 0.0846361538674595 0.00108601048550834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0703142162090238 0.060116158189964 0.0117832097892434 0.00921071333781389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0893600920894395 0.0201021166822334 0.0177593640279517 0.00129387880229898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.152820892804159 0.0163393979124698 0.047512168955355 0.0010858887021168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.211539909822237 0.0190353329305145 0.0839279818831684 0.00156789626549087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0133787499912278 0.00764788304932632 0.000544322897409512 0.000172958714603106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0377024415939056 0.0167693889506416 0.0068197508466239 0.000938355829336538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0818417565090267 0.0343174631832665 0.0218949796360165 0.00343948096176734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.111441600587611 0.0552932439814018 0.0334074622007036 0.00803739154629309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0133927439436056 0.007699073158787 0.000545622602208821 0.000174211889823176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0376854345741601 0.0167714835996316 0.00680145504746123 0.000939029471075176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0818312930677777 0.034320134191191 0.0218765283131513 0.00343976932191135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.111500720916375 0.0553430953128293 0.0334666847879202 0.00806040250002021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0136174908303699 0.00783842500478878 0.000558370878459843 0.000178858444763644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0376899286226744 0.0167947117860205 0.00678631306282861 0.000940539936262627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0818423742296187 0.0343266170540009 0.0218825007534715 0.00344139240526825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.111548225843774 0.0554125805351343 0.0335112378789218 0.0080830908467419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0145432846545138 0.00842688663103718 0.000618812306119742 0.000201243760371037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0377939725367748 0.0168857810940935 0.00676516985295341 0.000945345611655153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0818161513731361 0.0342719307475582 0.0218394734005323 0.0034289011344463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.111663950255562 0.0554776664653318 0.0336222827063881 0.00812217484017471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0219289255580089 0.0132578742031018 0.00128768911328472 0.000450733518198336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0388040614390635 0.0177502383429512 0.0066386420195441 0.000990655446239357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0821789855728443 0.0344002159363755 0.0218653762601422 0.00346326369532896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.111632259958422 0.0558010453692495 0.0336945538677902 0.00826389694530108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0314936057138546 0.0194702476471322 0.0026011081928191 0.000935948478561399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0405307637246206 0.0191715521506275 0.00653415128758419 0.00108719520390607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0830360246645378 0.0348621044533134 0.0218758722408068 0.00353843792425405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.112153709160275 0.0566307314366848 0.0340181872614191 0.00846110107165464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0143193998587339 0.00816571073155913 0.000622472734113764 0.000195599348849316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0379036554322553 0.0168566528308494 0.00687710250751396 0.000948105205048489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0819186476074696 0.0342981982023412 0.0220694623336901 0.00344754305928874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.111448411819895 0.0553532204438811 0.0336323251947189 0.00806389962444096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0165271340596867 0.00965608363321298 0.000806467055009039 0.000261803078583552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0383501238959657 0.0170622716136415 0.00695213476711724 0.000959071963435457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0819836761043164 0.0342889928984663 0.0222542263970227 0.00345070131205261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.111357205174569 0.05526463502741 0.0338009288237823 0.0080587724140779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0230231855059643 0.014201022840455 0.00148502177490001 0.000521394787406297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0399753207270019 0.0178655895786366 0.00722522343703076 0.000998756903977337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0823878982234168 0.0342912025629661 0.0226852702058399 0.00346126102000085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.111415615669766 0.0553462815251501 0.0341581051114738 0.00809376456694488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.054989815970342 0.0360767395474019 0.00791056138695392 0.0030387309033922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0495393055682513 0.0233066331918168 0.00844991966148777 0.00134033570835384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0868425042381276 0.0357514644536977 0.0253314947452457 0.00371193564896976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.113548068081402 0.0564649073440322 0.0367383366543229 0.00847026891297936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0868846210775362 0.0586554413969358 0.0197426352478937 0.00741312527141916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0626978221165664 0.0300281949389784 0.0118023687238276 0.0018985010807054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0940962340107324 0.0387884475493752 0.0290143100082867 0.00427797756831734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.117267636917012 0.058637348318823 0.0402298208284255 0.0090658239004926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0324176351964191 0.0433710741958219 0.00411385283469477 0.0122530604969785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.118365571817011 0.151467153185376 0.0365552793846142 0.124842599762273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.25776441226169 0.312133326969819 0.101229440147215 0.43070693026856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.355698322389123 0.435672377046951 0.162925464316556 0.848647298210274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0325204799076617 0.0433946650705479 0.00411864580490397 0.0122550933466414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.118319156427926 0.151417590553903 0.0365072151674441 0.124826495668794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.257466077624378 0.311944858292216 0.100964747807723 0.43053740043848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.354786677757574 0.435420538434355 0.162335009930105 0.848258669890073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0327032637287935 0.0434780248250059 0.00412709216635681 0.0122698158523706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.118280822677141 0.15137356074709 0.0364615865433514 0.124827804395545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.256543732340826 0.311842816878724 0.100264504085588 0.430505903787052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.35420046685471 0.435287086388867 0.161869988444396 0.848156729614337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0333052512794323 0.0437613799864496 0.00415469630088771 0.012336330924381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.118225702612649 0.151394356118938 0.0363754743574359 0.124893278537024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.255769015398171 0.310958852142359 0.0995977142853613 0.428569806259677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.352083587117438 0.435026010223725 0.160384808387274 0.847899256334721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0375517132724588 0.0469150258089638 0.00447646381583185 0.0131540844384392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.118094503097016 0.151443477345478 0.0360255320788555 0.125416614322389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.25239022986359 0.309050876958917 0.0972295802545452 0.425486414907735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.344550141125181 0.433321123416547 0.155241747823758 0.842442148880808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.043110656496826 0.0521950919422689 0.00513291008146652 0.0147691969261504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.118431429694436 0.151848763515876 0.035969824335443 0.126522825482876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.24997285421151 0.307914603691641 0.0950147363185597 0.423399894095823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.336496910626077 0.432676761363607 0.150087009498492 0.841542934228541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0329224704120897 0.0437414991983902 0.00415341083348967 0.0123510348548878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.118448323764754 0.15166354031883 0.0365408673019979 0.125107848923457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.258089392628708 0.312386515665169 0.100948082307127 0.429867584567198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.356199877870898 0.435983483078309 0.162579324882644 0.848107547637066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0341767940373961 0.0444079605678723 0.0042500475111899 0.0125142926964721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.118651594474527 0.15190299881479 0.0365753104052248 0.125478973500111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.25844758815805 0.311869055926434 0.10074681229252 0.426636690705018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.356032431417329 0.436210103352552 0.161136717341713 0.847364478362733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0378295173814351 0.0472355915332176 0.00457311110426894 0.0133196361709022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.119302033822613 0.15285214575816 0.036691023641789 0.126886847795738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.258932572019683 0.313610019119199 0.100430145351585 0.429054016735138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.356663452316168 0.437023009165074 0.159857748792296 0.847695723255128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0590167444566783 0.0650936029077547 0.00773062782869842 0.0203942029769066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.126383584153723 0.159577903661147 0.0386718160071636 0.137631311175265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.259870623519272 0.316917940313572 0.0970659469984735 0.434254035325377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.36112927035478 0.436200931172085 0.157710169980743 0.828258086998359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0842020902468696 0.0874430302006465 0.0137332514897043 0.0334910671490891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.130550277206032 0.171512241263927 0.0354180133245866 0.151327143249299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.257995713161308 0.283196838853015 0.0887083419648736 0.347119296547701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.368669829475293 0.370630364852126 0.152001169276487 0.587475674576136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0698732715388753 0.00829658785096041 0.0155389174783744 0.000172491487757264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.202755872610538 0.0141330715330819 0.112084764899062 0.00138527097115066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.324695914787631 0.0488755300264338 0.255372559362878 0.0123954338975519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.398505366214584 0.0699446274533957 0.354709528784513 0.0216294332172131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0698558298679662 0.00835430292227211 0.0155216039660973 0.000174729053430091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.202796374069573 0.0141473710083645 0.112146289350711 0.00137987880816403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.32489099152943 0.0488457294222359 0.255657969566267 0.0123721633160019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.398735140697152 0.0701008352187513 0.355158698152259 0.0216550905639792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0698629984071573 0.00863865230429076 0.0155069817590613 0.000185237768517344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.202834472626048 0.0141903207870584 0.112206397563042 0.00137555101647214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.325048119549994 0.0488421817283354 0.255887029243797 0.012354736877596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.39889645688845 0.0701096308361646 0.355463437532544 0.0216459578094934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0699631642002972 0.00963957679000823 0.0155022932196866 0.000226011989478684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.202698830831195 0.0142545799527578 0.111962816557449 0.00135544513353577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.325120065555324 0.0488273263092967 0.255648811324467 0.0123054425492272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.399038877123351 0.0702278318298649 0.355219373640856 0.0216979172095434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0712358268099645 0.0165746013722216 0.0157542851989259 0.000663303597630986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.203326184641395 0.0151575478177572 0.112630884597169 0.00135071749851398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.326395560275012 0.0492705390724189 0.257227890809251 0.0123261412200467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.401001238945192 0.0707237236528808 0.358487133060517 0.0219806338231957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0731281915717998 0.0248477314259896 0.0162457378326642 0.00150463923500416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.204190972537057 0.016838530474224 0.11365334353412 0.00147453689833105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.328131020506643 0.049836480651976 0.259918063177623 0.0125212091705995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.403030092196711 0.0717662311070745 0.362497539281579 0.0226295163588534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0700697231214499 0.00895099381481806 0.0155844355775128 0.000203702150626165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.202624384074409 0.0142632659145491 0.111878035916378 0.00136562474042586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.325018402019451 0.0485633375790205 0.255793997134587 0.0121662945745906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.399351237230514 0.0696279517047561 0.356329719746711 0.0213604837899395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0705317127855255 0.0110832550098387 0.0157066974648766 0.00031402507545907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.202291942176074 0.0145164780376345 0.111315794877283 0.00134491800828338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.325022206041263 0.0483643938075148 0.255435273723436 0.0119718344555375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.39995752865984 0.069357557805108 0.356953256631255 0.0211276704772329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0718584626092218 0.0174883636018663 0.0161082356694017 0.000786593474902679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.201964122966792 0.0156943452946597 0.11081324473543 0.00136580930955826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.325822475832023 0.0478583447982217 0.256723261673957 0.0115735611375978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.401502775175459 0.0687823466283218 0.360202576373085 0.0206811642958911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0844957147323928 0.0471558522741628 0.020663096133111 0.00596414822953182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.201634354323505 0.0218571448556412 0.109651333931581 0.00186244960544766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.328917004919916 0.0464494205558835 0.260904889832283 0.0105195559844484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.408385442087037 0.0671089684547356 0.372570429450727 0.0198449706370799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.106662694889526 0.0794499308545358 0.0301034033547286 0.0170070093005753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.206334550628812 0.032965108754125 0.114802870704806 0.00516365845003647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.332943951102224 0.0433945253222699 0.261757220930151 0.00863157699748998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.414312233435336 0.0611796648319247 0.373520403839002 0.0169094104963469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0489025589312951 0.0513710527180619 0.00897642139398091 0.019343963833808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.152453482165327 0.169746242408287 0.0565381772475773 0.164779011119972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.267688961553374 0.27187028427791 0.11621950796526 0.36000725206299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.359581243834912 0.314333794434286 0.145741871948429 0.489810411047645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0489385555073783 0.051412760398892 0.00897920455641835 0.0193626074103206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.152565157072835 0.169716575862947 0.0566015494475479 0.164724899456557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.268118518373388 0.271822569300474 0.116261011440237 0.359941916393326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.359102684469094 0.314452322445308 0.145956306043045 0.489975142505714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0490659374163248 0.0515136240987922 0.00898912069837643 0.0193983782995031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.152666127904653 0.16971136762917 0.0566673472831208 0.164684859454765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.268801163624045 0.271777240242597 0.116361803011395 0.359889086128657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.359457073461554 0.314594057973737 0.145894105964245 0.49017212486575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0493703200321892 0.0518231819948596 0.00901844333603566 0.0195020721286427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.15276856423426 0.169705615873549 0.0568048839394243 0.164643804455767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.268994128666814 0.271760888993415 0.116604515881084 0.359913746062068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.360680214214348 0.315087601950874 0.146033552849868 0.490780293208115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0528480855747033 0.0544726868944239 0.00937939850423883 0.0204394090841324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.153776918686028 0.17001551091134 0.0575243828124652 0.165276788470027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.27146134125555 0.271912783245422 0.117717771401485 0.361107674001686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.363989861450133 0.31620780246978 0.146678966058439 0.493756677501814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0583304309860984 0.0586127399084932 0.010151196097165 0.0220532270352041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.155244503829703 0.171300265473997 0.0583303922795692 0.166899227993154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.27437675156174 0.272080338270447 0.119173208999497 0.361787236841946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.364358548452983 0.318176799268785 0.146875970804466 0.496562980626892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0492070185649023 0.0512031906727964 0.00901740719119915 0.0192276357328655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.152427286849087 0.169773015850654 0.0565035009072367 0.164861174455062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.268573495340018 0.272208793840743 0.116201438612608 0.360451723992044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.36076361975556 0.314675656586594 0.145846052769811 0.490324267806735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0503880418165277 0.0514919880800732 0.00915695447120891 0.0193027752401532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.152741204036147 0.170091853784895 0.0566059571508098 0.165373701893774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.269388039725517 0.272637689747233 0.115557715346988 0.361419191728231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.362859295872872 0.315005197883348 0.146433951599999 0.491497583912124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0541222694856688 0.0531521436337078 0.0096291511223274 0.0197084164943953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.153304144839384 0.170599113836003 0.0568417190566566 0.166199941114378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.270763299354704 0.273825732235972 0.115882261193596 0.363294166561709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.366712183156298 0.316088123473884 0.146522762797432 0.493154274558431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0752304724467752 0.0685230420055272 0.0137477387639056 0.0262879434734411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.160247118238562 0.177293524684254 0.0594674982624601 0.177089707600319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.28674673289605 0.283681103566268 0.12006469101862 0.379038150132156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.398350147627134 0.324825127937737 0.160191985296734 0.507929833524941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0996995317499161 0.0909305216277666 0.020064514042147 0.0405063481726048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.181602705998787 0.187919208403549 0.0827421921333272 0.196840040242257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.305809902354717 0.28846669413505 0.147673632901682 0.39606374671414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.397430631849589 0.328778314381186 0.183907453127177 0.525220774093923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0404328287162929 0.0345358791506165 0.00650085649533667 0.0077339768357538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.136177800585772 0.125072246475496 0.055928644414553 0.0858272748396435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.22694348860164 0.271797704689076 0.113353576077484 0.299260082315965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.283176953553034 0.360740605928724 0.144516975903114 0.504440682009164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0404508260394706 0.0344956475776688 0.0065012990419718 0.00772953765568442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.136172900750979 0.125057030879471 0.0559044966863608 0.0858224359721733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.226755236526261 0.27188591244769 0.113146587444303 0.299355826235069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.283834767296261 0.361325660208157 0.144564053426564 0.506353378629931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0405472960583957 0.0345367985159438 0.00651166127642795 0.00773776110559959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.136179886362768 0.124925770301004 0.0558864723421918 0.085690180614009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.226619987123792 0.272056748406098 0.112949736637238 0.29957622986159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.283952261566693 0.361518592814876 0.144498037909012 0.506576404438033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0407216418859638 0.0349806685201281 0.00652560104611721 0.00782629164201764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.13612606555315 0.125225251497232 0.0558555626760195 0.0861268667528716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.226423120846544 0.273055961715153 0.112607088341861 0.301463554377241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.284239824738878 0.362169367597682 0.144353723701383 0.507827789068239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0434656837821805 0.0388118858754224 0.00689299226095607 0.0086200011953848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.13637948097398 0.125507013500763 0.0560236824628194 0.0865639688218954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.226241034960419 0.275926155020177 0.111784290646985 0.306586265885519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.286357308375977 0.368518440016186 0.144349555703649 0.523351071491408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0479131774333058 0.0447730528094288 0.00755380451359044 0.0101360951624507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.137678241365129 0.126480423158415 0.0569247126533702 0.0875050540635984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.227204048283042 0.279728954715084 0.112236621670418 0.31443557901203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.289161822955641 0.369973675042792 0.14513638264313 0.526162227358335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0407000787806857 0.0348043382634105 0.00654582607082339 0.00780967244002039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.135334511586063 0.125126543078058 0.0549783997750025 0.0859251310758471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.22516359457507 0.270017441967714 0.11172737113772 0.295201041631426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.283346772399903 0.358497889095727 0.143736762705772 0.498344941123907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0414498727544752 0.0359835705614858 0.00665182886181805 0.00805554729684504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.134907783680699 0.125433028631355 0.0545948048453096 0.0862702481979794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.223814220559179 0.269352199948097 0.110453402694281 0.293865181902932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.283157728323899 0.356249267369766 0.142806966576545 0.49194847824666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0441339210634507 0.0401271562636145 0.00703118997627944 0.00901501666730367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.134715846288227 0.126154438997662 0.0542589302077234 0.0870534583260004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.221510505784592 0.268841810796962 0.108158827262696 0.292512867059645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.283018613908518 0.357290266741845 0.141571663588993 0.49393198784269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0623879158197602 0.0644596430731888 0.0106694720980729 0.017568854601994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.139438048190918 0.13368850668556 0.0572518298050382 0.0952179722169179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.222173569097659 0.270056967361056 0.1078673806936 0.296523971220801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.285485576029194 0.357739966354943 0.140220836324188 0.495527386533461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0854207223997715 0.0924613498603822 0.0170876638196956 0.0333969743889064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.144061888476609 0.146130082451593 0.0547459713349433 0.109194542973395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.231460505233888 0.265048584914428 0.105518876877073 0.284468279369763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.301363824196803 0.324385461825022 0.148973189570472 0.40478736587058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0224526895646799 0.0231422262889433 0.00208550806136861 0.00350747210459048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0877230341834048 0.0952360639771203 0.0240433322426322 0.0542299088071189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.198451459712285 0.205443832856769 0.0806254649883736 0.207620556255338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.259212925324492 0.275950838665731 0.115071783650251 0.383196124490192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.022441943696596 0.0231834663242033 0.00208357011796121 0.00351074109848854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0876186717437999 0.0951770533134286 0.0240238386045022 0.0542124525682024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.19884034469811 0.204914220448629 0.0811872970777644 0.205757670373144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.259967749528407 0.275459679838738 0.115952587184055 0.381502293871261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0226132047195124 0.0233055269577567 0.00208478677258141 0.00353028545749743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0875093501695228 0.0951109200198646 0.0239975636229579 0.0541924685045295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.199365170974674 0.204811560031021 0.0818859299069619 0.20535599479977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.260294394372757 0.274707300562815 0.11650827535735 0.379037533722003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0233035136087861 0.0237496263337979 0.00212107895888282 0.003588682524344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0873149142344059 0.0950200049085765 0.0239634073311366 0.0541735003787894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.200903242376434 0.204738031184091 0.0840115029483029 0.204598102138226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.262772500935219 0.274458674629543 0.1202412451979 0.376720006031123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.028669879408376 0.0276788994185298 0.00254536501611871 0.0042345679530425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0872696551900094 0.0959841703013655 0.023996936999163 0.0554217508449827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.198528952769658 0.203813930415855 0.0820795811811229 0.200193747858013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.258223792451603 0.270254392975438 0.114703790571932 0.360628484661244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0356816567520799 0.032902449370089 0.00330386797933459 0.00520149906422559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.085182959671244 0.111876540623608 0.0216722819106087 0.0859254215675853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.186460680983174 0.257135377335887 0.0689202613315498 0.284889903908885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.239578440483712 0.346394156189474 0.0931480392248028 0.449992445228865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0230835726150383 0.023613441553995 0.00210961237950648 0.00358728205361649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0884042985160892 0.0957197086798051 0.0247380715664149 0.0546586547662963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.200232683880633 0.205457974509565 0.0833602030163897 0.206805113138275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.261211262824165 0.276187556133012 0.11851748369205 0.383308731998056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0246288047744588 0.0246972176933639 0.00219804374087805 0.00373771011936905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0895985971576902 0.0961742688602534 0.0258433562289478 0.0550727356525343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.202023834838422 0.205537290430582 0.0861347336820565 0.20647669136508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.263261531334324 0.275596285138643 0.122336720638145 0.380303346748885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0289585266989174 0.0279318266562987 0.00255515841455954 0.00423642068499573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.093489144212475 0.0972159387126804 0.0312781951165443 0.0560588968324939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.205370423156712 0.205036277252641 0.0915602733872605 0.203799370622656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.267299914088078 0.273982515945993 0.129939496922607 0.374247336314876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0524012506588334 0.0457076602350772 0.00613736754176742 0.00849964904102021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.112005776545458 0.100671190042872 0.0641746086082775 0.0582399126610741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.265507316309424 0.217145887908017 0.222887309160715 0.220838447133759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.346333323844841 0.296577057701399 0.296225915005042 0.414754701062162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0767431379204079 0.0664650461319 0.0123216847740208 0.0165642343791469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.123777381737529 0.107353444415574 0.0691285842603876 0.0627118082163262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.273209358225403 0.210553803803074 0.229711277351491 0.201882649317396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.357030577347996 0.269893410312535 0.31625386450887 0.336396200577804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0184103766777904 0.0224769634365802 0.000914495206263 0.00261285008720733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0773195344614073 0.0754623681451907 0.0194821849378884 0.031143281154696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.191640534386222 0.138240831147257 0.0918874375259534 0.0888515244829108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.254404745440563 0.190497033710873 0.138579971512585 0.170776237999421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0185558068269714 0.0225227897613853 0.000917097807786603 0.00260902288532641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0772979329059741 0.075391065251423 0.0194737955200433 0.0311039481125307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.191661997942757 0.138144870235013 0.0919991730631422 0.0887014930700897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.255207809620595 0.19043366798452 0.139715795863358 0.170752175471561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0187875967083793 0.022680834832599 0.000927594523362329 0.00262375390536296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0772857847344059 0.0753058992884521 0.0194681524551474 0.031055782765253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.191826587911401 0.138064946798378 0.0922645197893341 0.0886421639675558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.257144328973662 0.190379587662261 0.14264291184278 0.170750334895445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0194265840789174 0.023213600128945 0.000958677629787046 0.00269240794206259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0769438023193259 0.0752116147908703 0.0190142834693731 0.0310169618653159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.192038556318926 0.137967664903783 0.0927907298301918 0.0886116151767083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.258821588167568 0.190363226188065 0.145622983088025 0.170859783562864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0245560184409152 0.0273598975162489 0.00131028190855945 0.00325115883463722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.077922912733861 0.0755843072862208 0.0192769113101548 0.031253277767564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.195037881446041 0.137720815585952 0.0969476638892533 0.0885519159053437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.263010906928066 0.189679896749827 0.151904253542149 0.170792051604568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0311357106337133 0.0332420264614332 0.00201302757617295 0.00432827710441558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0791042043379456 0.0764058054675707 0.0197316661130862 0.0318382702847437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.197255168566043 0.137953409195328 0.100635436925888 0.0893555221899663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.268055821588715 0.189446753484854 0.161241728297876 0.171626255321192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0189590126196301 0.023009485442671 0.000935948493551994 0.00266364124192841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0776152376820455 0.0756494815502528 0.019708566325197 0.0312656820253199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.192859259714454 0.138323072311655 0.0930662474025341 0.088726446714161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.259363916107871 0.190838232476888 0.144699390597342 0.171051500809821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0202981520155144 0.0242039600019285 0.00100916465325181 0.00280407479938385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0780997602236862 0.0760896467277858 0.0200025713714498 0.031536950330202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.194197548055726 0.138773585607005 0.0947272429202614 0.0890817532076256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.261560083733315 0.191234948831798 0.147148014834753 0.171422386814216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0243199391605426 0.0278402699173108 0.0013080102602967 0.00330571938419243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0794699940054808 0.0772763618787852 0.020749936938177 0.0322979452564252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.19752129777525 0.139810701563847 0.0991107857057527 0.0899280178372035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.267571326763516 0.192270036886291 0.155741374148202 0.172445859119242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0466998616532781 0.0489637605153938 0.00463520205828581 0.00821913029348137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0876015663287977 0.087539602858471 0.0242416284130568 0.0402417251579749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.219435581100682 0.147855097620661 0.130531616848772 0.0972259538608051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.305147629780403 0.200447980750239 0.212163586916534 0.184191980123437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0707610337283479 0.0728205033955783 0.0106874910589218 0.0176084734281236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0966298128746424 0.102692866354279 0.0218873134347413 0.0558843619221384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.224021799538422 0.154096138410419 0.14325292606532 0.106917496099607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.310890527960299 0.202401604654503 0.207057937837476 0.188188430367897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0256570794062013 0.0250467672642722 0.00230226383217409 0.00352376869136208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0917408366575171 0.0990154474876329 0.025512917817388 0.056071120360161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.195818267362209 0.23596684792889 0.0923175703339651 0.235535862286312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.2601678671463 0.342378290013107 0.134927061653436 0.462045627608796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0257006194092338 0.0250409429893818 0.00231061233403722 0.0035247941226129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.091637920163592 0.098925700293203 0.0255120071977609 0.0559494347260516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.195938035331848 0.236320807282454 0.0920838883072338 0.235526117148434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.260051448805799 0.342373177383619 0.13431642162893 0.461144527465738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0258399982263587 0.0250978832958381 0.00232466810551611 0.0035255508802173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0916518909111719 0.0987051093741357 0.0255412017126382 0.0555855648247972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.195884725086692 0.23590743879334 0.0919381276174188 0.234924616806627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.260141878550974 0.341869182025282 0.133873272445765 0.459727397400274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0262906814800918 0.0255615455101875 0.00235662919962442 0.00358632121521779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0917097002334029 0.0986862425634859 0.0256018956236719 0.0555045354580056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.195772852986059 0.235380994140276 0.0915440981100699 0.233867058350663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.259451173551978 0.341324696616007 0.132320529641522 0.457905140940419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0301047283568003 0.029803585160789 0.0026892378663276 0.00424480084493579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0921399022717994 0.0990303230341721 0.0258353843458702 0.0552307823666799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.195310331406973 0.23451528758727 0.0898721679624642 0.231506605058722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.258284353014708 0.339499886200314 0.128619750254774 0.451977201720896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0353746188946491 0.0361254847886731 0.00330233033843123 0.00553505113800173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0929447052727421 0.100024702581463 0.0260232827132135 0.0555523235721173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.19407961804232 0.233528405707095 0.0873576782833065 0.229307141645603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.256745544925024 0.336996393944472 0.124341354212063 0.444774278876471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0262571798431098 0.025772105161022 0.00235225584230958 0.00361123611593354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.091566735034842 0.0991301675071539 0.0251326908362406 0.0561856862577502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.195365040742343 0.235552285543491 0.0916006858828244 0.234678508906666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.259864181953311 0.342626535328439 0.134580241575895 0.462017621314985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0275950871539815 0.0274966173302879 0.00245529559636034 0.0038641029929636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0917276551779286 0.0994212586833246 0.0248450959207955 0.0565156245846413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.194686811373631 0.235298695634567 0.0905766803086812 0.234192350650823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.258568369465172 0.342948972327919 0.132559242726512 0.461691058809199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0310372951332582 0.0320697229418735 0.00277815494014375 0.00468047620826744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0919466812092449 0.100391742733 0.0242755056078763 0.0577627420887376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.193411279419487 0.235331318331066 0.0891055925891166 0.233991224163457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.258520480469662 0.342461673339265 0.132828249097547 0.459054685424468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0516418242006224 0.0578876323984 0.00602117138193912 0.0120533538204188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0952880055033802 0.106355013755847 0.0241889346263408 0.0658852111360011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.191256586954731 0.236422711486967 0.0857845667563422 0.238048218095888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.256302341419541 0.341974235620565 0.129490348710021 0.451191853803225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0754716342460414 0.0861843718945677 0.0117826333845098 0.0258233589398996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.104337445686108 0.120810010283062 0.0259130256820647 0.0844536916210203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.19420549147187 0.245376665142724 0.0853183738599784 0.254176752619052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.256020795910359 0.349423238644867 0.127477343146669 0.461355256101766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.046365375904254 0.0568869930606118 0.00919164121183993 0.022187201596626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.142254782295436 0.179502069975652 0.0575030153520625 0.179822997813864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.255949326637126 0.302072579996285 0.126063996019042 0.428831261012766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.317818985575504 0.369108919789746 0.149988284416173 0.636433586633947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.046447975913763 0.056862186334512 0.00919193248011757 0.022178961219703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.14214795715217 0.179539726670313 0.0573955271677873 0.179902433702534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.255610570664643 0.301867711361985 0.125431256276777 0.427964206284228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.317872434001447 0.36876699257326 0.149083176238227 0.634889842924756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0465914937505457 0.0569175518793175 0.00919405058876492 0.0222037684443171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.14206546395759 0.179556840084396 0.0572951654030512 0.179990672576404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.255189766550388 0.301782140318532 0.124763496879127 0.427338957510006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.317435969702716 0.368406059794372 0.148139298795867 0.633298295702743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0469981314408734 0.0571763689027128 0.00921513283996053 0.0223253561494416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.141907153802313 0.17968435441515 0.0571084650721153 0.180216968436835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.254336031307201 0.301729448691122 0.123353467691335 0.426252353806838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.317536440044213 0.367906393656202 0.146089584168135 0.6303487842484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0503844316583419 0.0590265703638442 0.00952009621894849 0.023182542798201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.141712771813159 0.180463411071454 0.0566104064358789 0.181734288248969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.251147128706059 0.304376984987076 0.118446714399314 0.4253268252443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.318584208345581 0.367165378398329 0.140869418853174 0.620804611367567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0551772879015248 0.06218773392445 0.0101419615169681 0.0247040667852519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.142305587430813 0.181468652447788 0.0564351077467396 0.18390920793109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.252144011181518 0.305587778039852 0.120768746954548 0.42530535083211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.320557007495286 0.363883897689015 0.142956213104175 0.610860376036449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0466660973920973 0.0570896082090666 0.00920043057869046 0.0222623720684307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.142426680839247 0.179743916518608 0.0575321736359496 0.180217915082363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.256309245819474 0.303446809680836 0.12634867293223 0.432300763878377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.317081307932 0.371382671887559 0.150783186940631 0.643109592290763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0473979889442388 0.0578345844324562 0.00926806642261951 0.0225322294678381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.142691827369884 0.1800759887178 0.0576444932394254 0.180846796966122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.256074243857316 0.304885161412971 0.126318940049012 0.435896667139735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.316789015152558 0.373355533572302 0.151055492046752 0.648956510165752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0501296551275526 0.0604966213599539 0.00957358829964405 0.0235544323071599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.143498407706054 0.180699846017365 0.0580887997510687 0.182015374497286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.255888781323611 0.306882515221461 0.125686115814349 0.442006027116398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.315739251798399 0.37627295016562 0.15037032587187 0.659112714930969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0696932244128505 0.0801568783583085 0.0128614289871425 0.0337689200261685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.149346052192752 0.184495909784078 0.0612437263604568 0.190501779721504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.256407988104867 0.314302663671989 0.125626706560825 0.466149461205729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.314361122281682 0.386525977420464 0.149447451141741 0.695017294325216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0959993345620095 0.107200529828697 0.0199767181174562 0.0551125622369512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.158499986163338 0.196961041887662 0.0608692149499172 0.213830003520997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.257967225917472 0.33058491168176 0.107331014535871 0.500482059001895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.326925779372538 0.405740505385555 0.12824590816681 0.722683983614702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0279979218650116 0.00451813369725493 0.0022884186695179 6.28796945418551E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.102169388622744 0.0104859062322984 0.0342456051104473 0.000977611326947214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.200178385985488 0.052792439016784 0.113454904354344 0.0169401909341545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.263227400820054 0.0875380491008913 0.177797573210126 0.0363737439100518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0279552552411635 0.00461398723909555 0.00227892687420967 6.54584485980184E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.102198354533084 0.0105197714418715 0.0343049479521599 0.000980330686139319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.200381809217701 0.0525441297250748 0.113571618216649 0.0168912448598452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.263486769717899 0.0874914309636479 0.177907194453309 0.0363305289879797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0279786717116538 0.00486430903817909 0.00227987882824209 7.30076822277764E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.102233541868116 0.0105831256116252 0.0343740157337774 0.000984637572535592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.200473633361357 0.0524447167286852 0.113578995806066 0.0168496166211026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.263694095134389 0.0874648904969837 0.177969336121793 0.0362978561179033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0281994756443094 0.00572589858966758 0.00229999646628082 9.93036815031963E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.102320589861451 0.0107951019605764 0.03453986277104 0.000998540810857579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.200723033075112 0.052270824940031 0.113707254800396 0.0167769598023692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.264141008542576 0.0876616070880673 0.178256282689916 0.0363935938208623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0309698248472284 0.0114683472609695 0.00263184224202315 0.000368613169300454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.103274260493177 0.0120143498051198 0.0359389291448109 0.0010684657853732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.2025893982141 0.0527236673575518 0.115953911469929 0.0169502991645414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.267305360159072 0.0876269036982428 0.181786085523998 0.036240111588795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0354235827508813 0.0179932536733783 0.00331136255062077 0.000887192522047119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.104152478526878 0.0138301107799402 0.0373693696691157 0.00121761230474688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.204326232692158 0.0535335097235167 0.119118930310877 0.0173306225614622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.270667972740276 0.089308079356466 0.187342858846003 0.0372448078943218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0281956197022768 0.00543795636581255 0.00232283102386733 8.84820218271726E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.10213737093994 0.0107920317318542 0.0340444387410033 0.00100156455038967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.199097317108735 0.0522887518581607 0.111887086971546 0.0167251463126782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.262195212116894 0.087321272117065 0.17588209331625 0.0361695301214216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0290147111620604 0.0076219148391751 0.00243837548434 0.000167020008927157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.102273604385028 0.0113842608930432 0.033900550670762 0.00105514821097385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.197820336002588 0.0523444663694191 0.109690374600648 0.0167209294341369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.260564250853841 0.0870257538307033 0.172522862521897 0.0359264525493099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0319490001970886 0.0129399935737966 0.00288015955933329 0.000457970935430988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.102522387352828 0.0126260136554568 0.0335610637467432 0.00115140408238528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.196078116586937 0.05245520715087 0.106631359233049 0.016632955539339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.257956714278372 0.0869933449562348 0.167201299850897 0.0356880345598943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.051792202602873 0.0359534604595098 0.00707332782327481 0.00339638893426928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.104357971688828 0.0199271354156954 0.0324400446550236 0.0020031009740533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.189467854216485 0.0530620936006156 0.0952626713136232 0.0165934941836306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.247487374140039 0.0830978613121828 0.142958545568295 0.0327974967331585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0761378859283066 0.059751977171125 0.0151075238486972 0.00922722045305624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.10339817162393 0.0324923181770429 0.0265370636653691 0.00740821111529204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.167786198658979 0.0679657552072131 0.0677331539006475 0.024053040329044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.218255951540409 0.0899670363416735 0.101499883549845 0.0312553221476612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0259590017584024 0.015784842805361 0.00213726452500865 0.000811587425602005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0436578912835495 0.0234339044319981 0.00492116571836803 0.00159813489789431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0769095144418444 0.0414999317244607 0.0146157678351004 0.00466705378185074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.108498275502404 0.0622551400044552 0.0253387394556088 0.00937117902944985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0258234882721342 0.0158855723904983 0.0021000339661823 0.000831921627098972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0437057769356943 0.023376318641316 0.00489433945411895 0.00159291488476195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.076791079189477 0.0414629811328383 0.0145387100255532 0.00464791137582561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.108707617108389 0.0623066929250365 0.0253192180515268 0.00937094576503197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0260478076594674 0.0162277403712753 0.00215657171913138 0.000876595090265113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0437072677395885 0.0235071561243271 0.00487716424131701 0.00161257417819962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0768420339995095 0.0414075360895411 0.0145095624791501 0.00462461475521702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.10907577301076 0.0623350085383925 0.0253280591653572 0.00936426796923122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0284837321395228 0.0171223236323505 0.00286026860592313 0.00100621795182386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0438888005559633 0.0236515059965345 0.00493128549687218 0.00164046312089949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0771344716859302 0.0413285318498524 0.0145881260464093 0.00459196968627126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.109698137295647 0.0625496285155301 0.0253392099614037 0.00936555649494762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0442126468628606 0.0242793602928901 0.0203220980143863 0.00329465673361132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0493042990780469 0.0282301682214289 0.00731326822429889 0.00504096469993597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0800074738778523 0.0418541677263828 0.0159401956014725 0.00493194769230117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.110572095052219 0.0646484811682267 0.0254072438008987 0.0101083289411446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0619205870466867 0.0315136088486735 0.0559816580129897 0.00613848199854837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0571583403787391 0.0298695369606046 0.014571027327668 0.00566877938519345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0882736159348717 0.0447483779008421 0.0222576759411247 0.00692232476161619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.118005788860755 0.0687275002394079 0.0297407205959785 0.0124850694473249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0278691593624966 0.0165677941988474 0.00266150710067139 0.000962403810698024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0444675751614948 0.0238282235327455 0.00508223774514737 0.00163689961900473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0772680990430022 0.0413759167067404 0.014682657415531 0.00458642851898588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.108532546155481 0.0619258658178038 0.0252325006464364 0.00922044867950675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0302631834426061 0.018565274729125 0.00323260302261487 0.00171375024980394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0451909263272438 0.0246804119138052 0.00524766641561859 0.00180273090442744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.078270952609301 0.042138915222176 0.0149208514676096 0.00465447190926564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.108709000626198 0.0619277072005023 0.025187818592136 0.00914013863079241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0361545410733742 0.0268348764603723 0.00447583102297593 0.0071286340789721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0478610803567099 0.0278596523010001 0.00583948730415136 0.0029187561171367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0810539568804735 0.0440400564190387 0.0158163639584521 0.00501724158917498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.110102648329247 0.0627186071136615 0.0256140426069631 0.00907963940459331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0683667431862458 0.0605592596904226 0.0161536850775647 0.0379301296923738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0631634880013546 0.0389373511346432 0.0115094465001021 0.00928607070080805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.092639145410358 0.0597075680687597 0.0214925283398189 0.0159990851902898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.121199867874997 0.0731890281540691 0.0317648675520613 0.0157355402966616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.104359212453847 0.101507093537958 0.0442887070710091 0.0907259492374906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0885617545748453 0.0643523767264665 0.0268622623738539 0.0307484450767262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.108207669188631 0.0739954684624251 0.0332985433240553 0.0251907201630314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.138720665543461 0.0986153372598253 0.0445313585461537 0.0333657512665455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0429118207827653 0.0514667451904541 0.00625636733262308 0.0179224385113212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.14334080866363 0.172867749792274 0.0480850085660041 0.15666106732135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.306074316920354 0.299666050150853 0.144360045618509 0.379560863096107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.377878590062046 0.377886697178606 0.189526664934347 0.598959563804912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0429521102715503 0.0515356200260541 0.00625687095997365 0.0179266881543377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.143679930540268 0.172697291055736 0.0480549125502822 0.15644419272611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.306379535943152 0.300582731558872 0.144240833265735 0.380922082947184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.378326367466894 0.378512659946512 0.189658589595847 0.599369129976577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.043340784656492 0.0516600573104853 0.00632591334435748 0.0179604633554286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.144011527236787 0.172601586660777 0.0480949341720294 0.156293097396745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.306917876873795 0.301049096771256 0.144162742653546 0.381277797451442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.378789769279129 0.379655757240595 0.18982742180655 0.601557984859623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0442689749947281 0.0522823915035464 0.00661907411508748 0.0181467165178068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.144857432486487 0.172490814673908 0.0483276528223307 0.155855625494364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.30713735504493 0.30236189993545 0.143803181483321 0.383035222317495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.381018685207008 0.380620413442461 0.192224060715849 0.60210959578136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.049384723649286 0.0565774651049587 0.00866594345035283 0.0200483549862785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.151598270646907 0.175569368436374 0.0532486877416121 0.158528249273274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.309816416474108 0.304401815513972 0.146679707122506 0.385422230558736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.38995177038575 0.381184934366402 0.203835145806258 0.59950291530424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0550225615781455 0.0634103399881207 0.010539581374161 0.0255384452202521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.160547163776245 0.181879056235688 0.0601362860462015 0.163333099414519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.322731907259104 0.29834743461002 0.164275499744367 0.371910306795894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.397106013596534 0.369434963242419 0.221184893597276 0.567709616253729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0440981764147976 0.0521280805487173 0.00665350330974739 0.0181965419359049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.143554071404871 0.175464456078082 0.0483621979833477 0.161472212736179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.30293383591733 0.302984719865298 0.140902726508063 0.387449279896876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.377135252857559 0.382095740101664 0.182582616639789 0.609788224521214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.046728826454733 0.0533197830353817 0.00812292798726464 0.0188599039487192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.147141006920444 0.176060392515151 0.0506012735033115 0.162656579815709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.296898996087424 0.305187708665762 0.135164815283663 0.392541983945041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.37189651437174 0.386002269619338 0.176945469406629 0.621199332480724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0527983425630865 0.0570472698984045 0.0140574735410919 0.0207949176562673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.150152216583484 0.178897868946399 0.0532358700816548 0.164940109349246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.296528417288323 0.304408061100607 0.134199270120872 0.386302637707346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.372592790966044 0.380369073213182 0.173995270338366 0.598081547506518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0948444140535404 0.161701480275775 0.033488697674434 0.285887120320887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.186109954133438 0.227849151874945 0.0637516240784862 0.220595901345317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.330094936748167 0.322465844223614 0.126428548781329 0.417239191019318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.390822472757583 0.393320488753355 0.154289954775007 0.612200778107124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.209933864860865 0.300110909463599 0.134379452211425 0.409344608805629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.297745228330717 0.248133625464004 0.12394744962008 0.222865745984856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.403400434917904 0.316774138448719 0.17285200558206 0.384942242633185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.432592943965018 0.353333531372418 0.193737766522395 0.495189879716854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0830940558015611 0.0152529873864294 0.0247667678150098 0.000775545935004451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.216242145966823 0.0208106599549289 0.140508042448046 0.00238607297530301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.334542389706752 0.0549166267729545 0.301084537124104 0.0144757939475681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.396895088143323 0.0774700593447129 0.385700481813119 0.0261193260706912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0831752680182087 0.0152402020904018 0.0248659888025266 0.000772201271023679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.21626635536795 0.0212240624711003 0.140439498086623 0.00244237166246005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.33397028597365 0.054795280017413 0.300010550199585 0.0144549775258551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.396397848083966 0.0774687911918024 0.384625286653203 0.026128433074064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0832544527794392 0.0154230672880719 0.0249732336475355 0.00079184818637313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.216477195616681 0.0217662962583163 0.140314552073795 0.00251783118384377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.333728670308141 0.0546641630029463 0.298871528317898 0.0144634307219643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.396123778239528 0.0775569813709014 0.383206480736803 0.0261894698884301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0835601867649965 0.0161584243908351 0.0252276338709981 0.00086733336760792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.216723051427388 0.0232949884623748 0.140440811152934 0.00278656557941485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.33269634580982 0.0559397560352133 0.296985371937351 0.0147566781765695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.395289045506635 0.0776148902654959 0.381538999348522 0.0262875471086698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0862259457475555 0.0233970008085109 0.026722355221667 0.00265596932068372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.218441934551255 0.0297715991521837 0.142121476269515 0.00477787230782895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.329391251764282 0.0590202522175916 0.290889772267689 0.0160133956051196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.392657263982929 0.0801364314150192 0.376660850649294 0.0281187658238896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0897109669878359 0.0330766544537802 0.0283500628486473 0.00747571257736442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.222103421730775 0.0357463197355905 0.146888957200731 0.00827217612754141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.328280167721368 0.0632922533428383 0.287529181091535 0.018715284678941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.391787162749207 0.0828759866450928 0.373787315632105 0.0299193656299761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0836374876355657 0.0158743245010812 0.0248377358644984 0.000889291061378865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.21825959396807 0.0224006315284317 0.142475460936607 0.00274918514191384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.333849376686458 0.056279696407857 0.299238102774361 0.0147985199171754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.397450485308651 0.077471734273512 0.386316826060197 0.0261667514894551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0845208760553685 0.0180314398998525 0.0250676428089018 0.00121335691226163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.220275206396737 0.0244608652808714 0.1452213043943 0.00338263057787418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.333524698201745 0.0576392608726843 0.298810415607788 0.0152295046492661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.397791586910423 0.077536547279988 0.387612804533583 0.0262420729925228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0872496951703817 0.0260502910063159 0.0261109992096148 0.00401956694862512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.223021753558112 0.0288686371921246 0.149736410738975 0.00535463124442398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.333359957408564 0.062125729063093 0.298390444072847 0.0170376911161994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.397726351557971 0.0792808958902642 0.388468803518411 0.0271193992968212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.10728883711469 0.0780041021361227 0.0494969320092768 0.0472710928097407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.227447758500601 0.0568354035923931 0.164275050451744 0.0223046933798732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.325731732823742 0.0821691694194366 0.285198737966142 0.0289375187915304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.388584085188301 0.0919327058423586 0.373283907779534 0.0347215569699603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.142803073683705 0.119757162254703 0.0919016702840594 0.0789302704038665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.240440433568136 0.0801149917402742 0.190926188011873 0.0412857114296259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.32759525954042 0.113208145639489 0.28729807785552 0.0505809146494252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.385654542476195 0.115947781792643 0.36681828519831 0.0504095090053507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0637420088355318 0.0684976649828317 0.0150913912544862 0.0329965621317248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.168590162383801 0.196019478757001 0.0726703327749005 0.216014497097397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.275360435475844 0.303271788739831 0.135548151125714 0.448659167034404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.340065008289985 0.34395042124072 0.161577444045253 0.593966795724894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0641840848706497 0.0683948339413208 0.0152892401028286 0.0327408815532491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.168932071996695 0.196000376581667 0.0725435595440858 0.215899113356055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.275305595021172 0.303170101603704 0.135426801408736 0.448477897489932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.33904523899386 0.344101660824158 0.161433006040318 0.594343439224628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0653248807469469 0.0683652807741985 0.0157226658069996 0.0325471258019244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.169326901146236 0.196019947846452 0.0725055961851236 0.215857996839607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.27521497408857 0.303064291818668 0.135338905199073 0.448304700855373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.339540377763779 0.344468792933068 0.161442032030813 0.595142003342565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0666535732750412 0.06888255076198 0.0164195720576201 0.0325822056657603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.170131452519827 0.195814313662934 0.0726948515354988 0.215347582180027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.274798457956718 0.302566616215359 0.135029154082611 0.447176440707003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.339322629185394 0.344479482571419 0.161357313577975 0.594861839970329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0760849403596105 0.0720732885341288 0.0228594765860009 0.0348873983806874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.17246946552723 0.198230733235162 0.0743179593087071 0.216506292662318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.276016836147088 0.302547123627752 0.134559076632505 0.447042032426288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.345775545761103 0.344821340919781 0.162814857393281 0.596405150288172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0909020738127367 0.0793577333540364 0.0356889148064308 0.0417278511371659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.174122508387287 0.202995097280844 0.0755377868904462 0.223391920788966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.273721060038694 0.30438487545359 0.133876576562258 0.45356990845828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.347362455152143 0.346921543526775 0.165558386459602 0.60257221782948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0661916222653332 0.0681176944272768 0.0161975601392349 0.0318016739565253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.16991789902038 0.19525987801861 0.0735613224241202 0.214737704605013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.275960922956123 0.301758296361366 0.13653713853883 0.446096073057748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.339065815942458 0.343636091886834 0.16225226889767 0.593669128284822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0685304554036344 0.0682443368221338 0.0175150530885069 0.0316976731050943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.17244945935135 0.195222048578433 0.0754747815520636 0.214461837453997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.276983636505314 0.301112715154454 0.13778981362507 0.444954020793512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.342648971217812 0.342964825371641 0.163418235027427 0.592557396317986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0757430764221226 0.0715698648524861 0.0230420786980711 0.0358181890049031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.177654068900039 0.195502377941087 0.0811606091899924 0.21376610865727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.278642752223868 0.300263992199292 0.140028955322505 0.442416024544522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.347748045796915 0.341984931216747 0.165928691136961 0.590175743352493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.122663036530031 0.103625303189944 0.0584094182436571 0.0704168994628091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.212249855599169 0.211107734515675 0.116091999121095 0.228802988964809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.302289597960421 0.295739500667697 0.175662706529796 0.420522468174714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.370033164668295 0.34094527132404 0.178093288637193 0.582846360009614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.157315795826238 0.220656258362394 0.0766072343239214 0.263517288425517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.22888530943449 0.251017911745949 0.127881125420391 0.275220820703549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.331980886761932 0.315641473017038 0.211908669926608 0.450549389244833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.363701699828024 0.369663055749024 0.212364262530516 0.64283359106809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0519926373507414 0.042754783279533 0.0096512234655496 0.011245884094629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.152216287255136 0.117953816458871 0.0575046174748444 0.0854062605586036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.25864354253897 0.202107132393869 0.116525712261775 0.208441877241862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.346568098992702 0.2633086885637 0.155537370280005 0.337412857984765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0518487145506122 0.0427752009296711 0.00963750172678058 0.011219364944509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.152262525286534 0.117821621449553 0.0575313042674282 0.0853325646182191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.258548350640649 0.201814152289862 0.116369413525349 0.20800566045974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.34650641536059 0.263322014656378 0.155414974000287 0.337285977452725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0517050827516216 0.0430986725116311 0.00963223009402371 0.0112560273540863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.15230647936105 0.117774197137332 0.057549487832765 0.0853245190186667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.258469035823451 0.201628558323625 0.116209532055841 0.207682886520721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.34643987002339 0.263324973817045 0.15532096657696 0.337161445456585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.052007744097703 0.0440439550266299 0.00974620342544369 0.0114666567435331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.152444842795056 0.118038839641062 0.0576308479113879 0.0855188039960272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.258371760685219 0.201671352424749 0.115932979917593 0.207388850777468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.346367429986337 0.262959524677063 0.155079757132316 0.33596136330738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0562103820638926 0.0485008743595284 0.0109206149053053 0.0128005173130135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.153447343586313 0.120249900014425 0.0581295626774708 0.0872831324332955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.25844561137422 0.203722422882968 0.114838313610485 0.207889332986823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.347491408671239 0.265542476653922 0.154448710146727 0.337466258927349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0631350169475098 0.0586456050234331 0.0129894474650327 0.0221776449091831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.15642951485933 0.125752352391427 0.0589002629051929 0.0920814226611971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.259821391961552 0.207529312785277 0.11432804727258 0.211090543996528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.347355640575218 0.266109878499485 0.153463336391626 0.33573157060655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0526589707129559 0.0450778108023124 0.00979569817126964 0.0131633327755419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.152217143819696 0.118130587467777 0.0575519465553062 0.0855901150859675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.259104420605044 0.201395004462331 0.11694988227422 0.207082589795449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.347819069587298 0.261564757185946 0.155955219056922 0.332986035949276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0555751699235911 0.0467568797753676 0.0110132637014709 0.0140622865621162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.152655100640458 0.118858400108742 0.0577471017085594 0.0861692357419092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.259977740230412 0.201902890998347 0.117598737243912 0.207018207461848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.349240707594662 0.260686740863552 0.1564318992034 0.32984357999357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.061270213206167 0.0518499530526801 0.0152933439897948 0.0163166864047494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.155361079604737 0.12202700105979 0.0589255988443435 0.0884451174666971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.262320716124256 0.205027298777152 0.119085113856889 0.20912352076897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.351674951831617 0.260758043284826 0.157521815730405 0.325817774663236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.18841679135497 0.186122631736594 0.271759517492596 0.462294386363558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.160491204534572 0.259465916558987 0.0747421470276761 0.272410316892046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.261243305014198 0.274170947834118 0.112753284508335 0.260207419039176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.35258047988566 0.259010983841808 0.160495486292396 0.280353648142721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.230352027307782 0.215569451048399 0.302119832169484 0.446987273129687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.18584057425449 0.258730594661109 0.0931619371379941 0.269180055485964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.288923788022232 0.253472474984864 0.129851015482239 0.260160098690039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.379170252161954 0.269327357565594 0.183132068152063 0.303470918936183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0351342475705114 0.0353986170520141 0.00403438348893358 0.00851806344382612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.102863237069976 0.119160551278194 0.0279207331356337 0.0803913558497383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.209464952521813 0.219973728846998 0.070183253367891 0.214873673408279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.27010974568234 0.252754975595445 0.100651356634604 0.310277641621241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0352266275293038 0.0354556671318256 0.00404685571909521 0.00850807553608383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.102871014026938 0.119385592312144 0.0279661648795911 0.0804704559158027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.209511947953414 0.220884516441736 0.070171675098442 0.216067877842992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.270419124026549 0.252944708066249 0.100781070442929 0.31041346738551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0354159344077404 0.0357798270621127 0.00406847735912034 0.00857308167388121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.103015609172865 0.119602300058653 0.0280527250783182 0.0805505103794694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.209572195884364 0.221702082178119 0.0701957039474249 0.216710814426506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.270907710521133 0.252607273939886 0.100869514816258 0.308273146666932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.035959864201923 0.0365789946418578 0.00412941472467344 0.00876117559023049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.10351073879432 0.121001656684189 0.0282968033697476 0.0824549080177476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.209613826981499 0.224757731175938 0.0700786681933028 0.220640348012256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.271609869013592 0.255209623322051 0.101023405532002 0.315631669192746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0412728162002447 0.0435039564137952 0.00498404449559447 0.0111989225554616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.107085898257314 0.125925333917157 0.029999189369738 0.0864661577469532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.210352439481828 0.23006270857185 0.0698858356042002 0.229127135503002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.273740007756918 0.259100134928262 0.101335671986058 0.323431880791358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0482581626406491 0.0529214838892334 0.00670498637621019 0.0165207899100622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.110600690986357 0.130809482633926 0.0311176152190839 0.0902314988419483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.212580584467949 0.2355731341264 0.0712292718782028 0.237506649457097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.278554192299301 0.264959109940398 0.10310846096915 0.339365096825819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0360416320754049 0.0366078275069448 0.0041330378915571 0.00896977385818697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.10282136794129 0.12003233464219 0.0280133437061544 0.081339407147537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.20976859056714 0.22111458220646 0.0700295993625042 0.215917458899657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.269995529946331 0.251498802264511 0.100462052551669 0.306641951196859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0378660074631556 0.0393864520289612 0.00445891304504162 0.0103354660068415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.103050094287516 0.121747921211504 0.0281726805232106 0.0831796046137868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.209276635581636 0.220648392585645 0.0698649074128828 0.215156834102527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.269728050685006 0.252183734743865 0.100266332529981 0.3103534554656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0427117415735045 0.0458516848028415 0.00549250690529888 0.0140865664701471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.104854378351938 0.126378746846891 0.028862078690978 0.089155022090845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.208700126557144 0.221100464057796 0.0701663601464701 0.217237561567533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.270447963127216 0.255882911595403 0.101027238955895 0.323657225755761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.074785881353179 0.080413300453555 0.0191307799641062 0.0386443491283679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.116452039839369 0.148897681694869 0.0369519394803537 0.119390555643722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.19744375852867 0.242300222619493 0.055745130552696 0.24275085187669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.252263709239627 0.28933420927221 0.0716685141605985 0.352918306062972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.131004679250276 0.199462736080905 0.0524327696042531 0.263140295262427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.179925158168837 0.209958950689019 0.0670729671921633 0.185471589156833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.234716492677978 0.282567645005172 0.0629723598802465 0.29319286213007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.287960382038393 0.314265728684007 0.0792165627139841 0.371349241558968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0252615086839152 0.0290285322898917 0.00155209743312011 0.00406961809779061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0688184701712411 0.086693577699653 0.0100536807651489 0.0419634692495484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.140530920462843 0.168485901469919 0.0344958885840155 0.130672780792959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.188915158007491 0.223610337979655 0.0569956256933154 0.227779115088207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0257521895923365 0.0291813310626731 0.00165981324260037 0.00411791340384245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0690598884266295 0.0866460328787631 0.0101251582500414 0.0419593488661195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.140407911527302 0.168130032541747 0.0344440084969714 0.130320550611221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.188826873560221 0.223286174655597 0.057007091819528 0.227423905795085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0264501439006354 0.0294857339486894 0.00184790159092704 0.00419657296446655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0690679186692409 0.0866808060240877 0.010095113604396 0.041978243271141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.140234158107148 0.167847134795584 0.0343769472191185 0.130043424566203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.18869404044005 0.222973084392486 0.057034273054198 0.227073526131865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0280612793642284 0.0303695372860436 0.00244620675942321 0.00441880708862313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0695423605849195 0.0869932962869929 0.0101907658389199 0.0421534054444729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.140000714907946 0.167192321540549 0.0342999381821666 0.129470333956075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.188596554103611 0.222321200775073 0.0571548914006133 0.226239009728752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.03749886515935 0.0364819768661204 0.00894022386834001 0.00783884129318593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0803876550798539 0.0907630702197981 0.0235141468038026 0.0462869651564858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.143459641809917 0.166613915651283 0.0382919604805259 0.130218878087668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.190070395673782 0.221550825437285 0.0594371460361129 0.224991982832406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0485435218062366 0.0431643451238127 0.0239612444429935 0.0101206792913118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0872615705933633 0.0932742625710012 0.0317876632486361 0.0492656939931582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.147127862087268 0.165694672852258 0.0436203645696496 0.128752646902321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.193465622848556 0.219785430168899 0.063909169183558 0.220506883650319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0276615197159797 0.0299682773393883 0.00234906036205712 0.00425411332904486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0696365358883726 0.0869378311487324 0.0102829087419503 0.0420444479565132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.141351391420077 0.168877967504252 0.0343780248429909 0.131225426417111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.18924703765821 0.223625201561157 0.0563256654850484 0.228011620170283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0305401949605954 0.031183761331514 0.00422409145077345 0.00451376579655489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0717327207767864 0.0876796080475005 0.0119795543942676 0.0424124090486804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.152759137611759 0.170496823866415 0.0378304830406588 0.132568587080467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.199375736781135 0.223441844232791 0.0562433819774958 0.227682120239262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0381664208973533 0.0356479326519098 0.0112051131659498 0.00571637411507107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0742949992694213 0.0901514482107344 0.013648050594779 0.0442882394996746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.153230587535737 0.172020230143068 0.0380583795476446 0.134967690262987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.200389692698807 0.224501077887867 0.0569865562910024 0.229960279879176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0779226244349424 0.0621790006388128 0.0707086269112748 0.0187689938614367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0839772751671034 0.103740175295266 0.0168633587774363 0.0580998112117787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.144483288847945 0.188509004950287 0.0344206973549154 0.169015340033505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.188722658971783 0.239031728200667 0.0455252580775548 0.259571858330177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.191345729509448 0.147524713275161 0.220730327615379 0.151200507319723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.166520883733513 0.164742025941922 0.0544642301267284 0.12668314361611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.186898322692356 0.227044527191035 0.0504745914416706 0.233433927230987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.20222214516362 0.300609435320147 0.0536261517476292 0.418344187364881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0333851710230817 0.0313928331751924 0.00352460966267103 0.0051679023946569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.109813888834639 0.0991875446248121 0.0346780330333691 0.0535758892778527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.203433615759981 0.196573474703619 0.0804121716743525 0.172232778826962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.260551956078426 0.257143970919926 0.107426171197898 0.30134620586891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0348482417610033 0.0322803012339055 0.00408274726869486 0.00540478112214743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.110570348509022 0.0995241179748293 0.0348517484359144 0.0537456114146607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.20411259775643 0.197035511535205 0.0807758174826783 0.172384749134018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.261084670912879 0.257251897747432 0.107550521740282 0.301140213456394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.035189713411776 0.0341487317854249 0.00416142900421409 0.00685281661425061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.110955832115913 0.100140256542756 0.0350498294570802 0.054038221344488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.204338933456504 0.197676452837177 0.0808966116793445 0.172774946841409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.26133178852004 0.258194671676133 0.10742538078682 0.302694223098265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0357743508052243 0.0378133518963935 0.00415836686119827 0.012593690752651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.111187050030682 0.101670518985428 0.0351661409401167 0.0551082077859011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.204856019939878 0.199110374319098 0.0811095857703732 0.174066319467514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.261609746680653 0.25855256463622 0.107575668665683 0.302600135318961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0418578852044536 0.0466864740845205 0.00738607422590572 0.0253397547263649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.113406086948623 0.105766069395101 0.0365377514976442 0.0590153358867147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.205889549653655 0.203290007446003 0.0817034878743227 0.180030480657307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.262307557360915 0.260708989462359 0.106772984189943 0.305759979377667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.047327458595525 0.0545208623595971 0.00835996672830477 0.0287051515891883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.116419760778706 0.110235382436992 0.0386770969914193 0.0631735162400101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.207810421770353 0.205400762858432 0.0828500581835532 0.182935028970321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.263467079458255 0.263424960778857 0.106765813677501 0.311199194452421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.039142262782065 0.0321328746684887 0.0132085290638987 0.00529324927919447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.112451053696429 0.0990398423508021 0.0369687614831873 0.05345240520983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.203414198021534 0.196795788495697 0.0811899604921348 0.172894194170273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.260302112791961 0.256762486008636 0.107119147390819 0.300586763735588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0418932088273269 0.0343618908293592 0.0191315181421906 0.00599008976230908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.113542043948336 0.101058962478249 0.0381235204803392 0.0545731176538535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.209770010089558 0.188873304707966 0.0827194581843483 0.161670400011884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.269558375129672 0.23565314569352 0.109803561567007 0.25416271773584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0452899980917617 0.0401915158556116 0.0177323090094323 0.00845887523201211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.116211152996989 0.105302379710186 0.038533872399159 0.0576147558375695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.210075818436454 0.191489321949312 0.0816240296529314 0.164671414956462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.269502168722044 0.236894609212363 0.109294889452664 0.255397410447578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0876207129560256 0.0670411771452408 0.058653902838236 0.0235041266538985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.147443877889023 0.13285283552198 0.0663502813320286 0.0874586186681077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.225470092618822 0.212253842354988 0.103467890804483 0.189470521748121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.280053660854162 0.247307752911547 0.118643037236302 0.265499864484282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.104915043927262 0.128281577787973 0.0475954272617016 0.0722380064197315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.172792033453183 0.153186432602009 0.131485865556904 0.106776113330766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.318244724223422 0.245512493578909 0.33967775031483 0.245783733828964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.399942837313943 0.29365540451687 0.387329108436618 0.350976321926292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0562054519665064 0.0679448029436171 0.0126651427010219 0.0311316039926727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.161728326690147 0.191852897289802 0.0655012948228293 0.209832976937737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.258792933762276 0.316819254450323 0.112136743228162 0.472600624330317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.357595260897441 0.35828316549515 0.134325465200362 0.615760941045842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0564913466525373 0.0683389876717923 0.0126719843862779 0.0312140049872723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.161724297319751 0.191937834120049 0.0654847517543307 0.209949971105162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.25895597405218 0.316619617021626 0.112141704065122 0.472276071295922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.357496314782311 0.358277966349603 0.134597700037072 0.615762294687088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0569017242732496 0.0693299030407002 0.0127495959895177 0.0316501186557638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.161703114620142 0.192073611368439 0.0655140741600686 0.210043153806487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.258987276608159 0.316433391933546 0.11219841214071 0.471992442235671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.35753716483963 0.358221171034857 0.134839324207532 0.615633944715095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0579048145322071 0.0715105331371313 0.0129250229541235 0.033238474026343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.162040537778962 0.192437343271348 0.0656645493912407 0.210501787737184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.259056409497825 0.315971967533593 0.112413471117727 0.471477394391007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.356914279684365 0.358522756850114 0.135236020230881 0.615884590892063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0638001028461095 0.0761741945062782 0.0142503988809783 0.0369387232263803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.165092137558724 0.195087661267738 0.0664885288230616 0.214062273509538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.261528175759893 0.315099383889608 0.114659635716014 0.469870275616813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.357638636485957 0.358518266241158 0.138382741488948 0.616032621704527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0716491556680296 0.0801917865641835 0.0175577812825847 0.0389720354991442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.169532855848159 0.198184096437771 0.068862560959664 0.219649324590578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.265412047414752 0.316649033736673 0.118248957571233 0.473790393837688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.364110216804794 0.358901752725921 0.143624548616317 0.618009935111536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0574330493122031 0.0685822746206305 0.0128870625303944 0.0314017012741742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.162236745973171 0.192279667654765 0.0657029192086876 0.210370520012833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.258973632729102 0.317220205975983 0.112627264207518 0.473447146561226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.357842564680322 0.358815054682331 0.135195307681877 0.617038736991251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0592405561420617 0.0699938992916024 0.013356964465072 0.0320656350126336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.163131195054116 0.192640715348442 0.0660085800376845 0.210956899405405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.259825718601059 0.317718133427101 0.113566902692184 0.474409764573005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.359632624353911 0.35923833492514 0.136419905202788 0.617986223958002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.062717203663607 0.0763775635262924 0.0145427307500288 0.0377001938572686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.165055152031836 0.193241089154905 0.0668398465369199 0.212539885343749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.260422637755175 0.318835315578826 0.113920925579606 0.477685209130456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.359725451057304 0.359926757991017 0.137374902492406 0.620892197665045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0860792070672185 0.120818940700639 0.0251383061670131 0.111807250899003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.178800384730597 0.203306835247715 0.0755922563368937 0.22823503643891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.27139224325738 0.320716712578547 0.126786465497417 0.490259903322261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.358794926509033 0.364462321596126 0.160271607274476 0.639919667052766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.134063813810858 0.158806739275298 0.0775500084059925 0.121954444415392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.170641471557416 0.215728294411381 0.0786506105634501 0.23878045100357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.284435366408022 0.331437747511362 0.146669890613285 0.507969079496475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.353691878474073 0.392562126761186 0.179880381919244 0.713639206375886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0431119197972052 0.0102402419015158 0.0142454950140601 0.000598422040408073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.139411557283585 0.0253170686289579 0.0769695175213356 0.0056030553190571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.22538546699613 0.07237767794232 0.148371775923153 0.03370882431981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.266252483180763 0.111089955424261 0.186454732408017 0.0635431449261812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0432375020587899 0.0102789505412001 0.0143244940976527 0.000604507989510488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.139967358049084 0.0256515537000135 0.077605639533474 0.00568500440336427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.225784600128481 0.0724833905561801 0.148934300708617 0.0337717953576102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.266208452121724 0.111117367202154 0.186526731881975 0.0635278921605447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0435276924554117 0.0105740554642864 0.0144724890160954 0.00062626500299076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.140561669972471 0.0259410779943839 0.0782032316691137 0.00574826002313561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.226114062269498 0.0726577577761267 0.149155619841463 0.0338806146167418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.266067339189443 0.111188551592146 0.186223330485238 0.0635948425509058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0444994529361282 0.0114779391419398 0.0149163720368097 0.000704230023749166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.141358596519816 0.0268136440321775 0.0791470329704217 0.00595287350427639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.226113638554536 0.072866143410872 0.149018404223081 0.0339612996388225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.265796346040006 0.111238749362945 0.185870868558367 0.0636163651608498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0523054685648619 0.0173192076838937 0.021185418491287 0.00136923916159475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.145626296308661 0.0316311762677627 0.08574009218919 0.00773689169425291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.225820916403164 0.0739828206417017 0.148383832970111 0.0341031397247915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.264712766667762 0.111386930032288 0.184149443953732 0.0634671837229711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0657732619716186 0.0352164024138253 0.036419901704755 0.0366863477237297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.151773634227111 0.0373091924265857 0.0972718701568383 0.0120264869857102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.227537564654681 0.0755793017628219 0.150165729862317 0.0337570606853455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.263099205680951 0.112068709744145 0.182010471281446 0.0637752097968747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0442423051623559 0.0111958472398928 0.01438203685403 0.00084641448755972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.140073203158844 0.0267490686970793 0.0772588788943186 0.00582659065850715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.227217734352049 0.0722322784213513 0.150370757465904 0.0335443902466504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.268231575061984 0.111224039877979 0.188886600903652 0.0635208134465372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0462608225947377 0.0132898612365241 0.0149595391072804 0.00156760254870032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.141588905230393 0.0288176129948395 0.0780773854060797 0.00647205346472013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.228606112785851 0.0729282809860407 0.15203296473319 0.0337763520080973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.270411035518893 0.111519977811803 0.191936137849263 0.0635565466281734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0566556517141231 0.0189023274694039 0.0321441801389397 0.00355527241960055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.148298725019171 0.0323436440489063 0.0894496863875032 0.00807009935312823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.235332349796655 0.0755144701507117 0.164870430156948 0.0349292844110301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.277754461313319 0.112316453025697 0.204593814412481 0.0640307215871058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.262167922156753 0.073291996063325 0.904503502045986 0.0372701441390029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.303634481136974 0.0684829017297185 0.43885830417402 0.0254111589260582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.345087309864622 0.102191619161205 0.398913562693942 0.0517376350213261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.363700782163819 0.132686263002834 0.382139024250257 0.0803998586807146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.280232946087475 0.118717957498385 0.87723515497572 0.0658168839146966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.288560697984131 0.0904624149968662 0.362353784611852 0.0391058398571679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.340811138242231 0.120230992082689 0.371171922182142 0.0552585510423307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.341559121232577 0.128569222409879 0.330075756766424 0.0632352318798669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0181133673090997 0.0149996171502404 0.000352976785757569 0.000525990268776025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.00603552643711179 0.00466005068265348 7.76561096306191E-05 5.66491983640368E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.00519540006682961 0.00303814718140588 6.02750418904552E-05 2.31461729684248E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.00792714267028455 0.00444944353912956 0.000139696716201284 4.73242915486369E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0192953637951126 0.0161932038288155 0.000446057125363728 0.000608712555514972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00632809776593381 0.00506766052480204 8.81358954157302E-05 6.71817137478338E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00538278900474828 0.00326080344440152 6.26939312574153E-05 2.54823209097887E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00800837045693025 0.00451808728489703 0.00014009204331555 4.79593002245189E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0224096848998728 0.0192635961263369 0.000733981243766271 0.00085776867202724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00723296675851607 0.00613276596107747 0.000120617764635172 9.91403564075236E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00585098586913531 0.00381784835158496 7.06140569409042E-05 3.31329594043911E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00823942642993117 0.00473604501088417 0.000142947720997932 5.08456542180411E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0318446090922654 0.0281056756534963 0.00195971618792259 0.00183689507109164 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0101808083730474 0.00928466578469107 0.000253831921263166 0.000227500703828358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00721659847068726 0.00542197094400853 0.000102963340317314 6.5174586992349E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00893437853835559 0.0054623113925867 0.000155597945477982 6.34302603704574E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.078381824453342 0.073556509370109 0.0165526233196135 0.0119250089202565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0256318125493099 0.0246643963092747 0.00173240363555932 0.00156585926949067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0144955374468047 0.0133492323518758 0.000463745828307919 0.000423256762336434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0129766570444918 0.00986971316525786 0.00030058506643555 0.000208730419368015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.125469366381309 0.123042533427078 0.0479852524161176 0.0308164839039816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.041820570356285 0.0405360883359058 0.00472943985215554 0.00410730986370709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0226514425335781 0.0217531785891384 0.00120709695331692 0.00114138457753181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0178473393766256 0.0150957717098527 0.000602789767753652 0.000510559219968841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0277933400212148 0.0248491948714285 0.00139837842843355 0.00144167092634638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00896222917225304 0.0080946811144713 0.000191331465979018 0.000173146352230886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00671024520667914 0.00484971187037142 9.09154186403889E-05 5.38505986634191E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00869452221726263 0.00513408770559446 0.000152237369784292 5.96790616307565E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0461050995917581 0.0420672156690445 0.00489540571455594 0.00411736826310624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0147561882552171 0.0140680230229885 0.000548362803766984 0.000518468643833555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00948197771088532 0.00798082762550803 0.000183918125282058 0.000149409167435947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.010146074643406 0.00668716935431537 0.00019022690324286 9.73930537465258E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.08531525214778 0.0808503863844909 0.0200349981278368 0.0144660748142308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0276712712492079 0.0269085037941563 0.00201704904059202 0.00185180423852813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0159908993869539 0.0148803586439101 0.000567673489419304 0.000538285558526961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0137224271039687 0.0106486266496449 0.000342951679537026 0.000253246694868168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.241441438527916 0.246691879713563 0.208676532266018 0.109504003276835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0797520470119876 0.0790416791486022 0.0181255475567613 0.0143972567118645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0439170725908377 0.0433686837006329 0.00467826891555207 0.00447593250970906 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0309926084490871 0.0287547839441655 0.00196565266668856 0.00191661943036179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.400151524136206 0.419838366156514 0.629937743332873 0.28166064287889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.127768385888917 0.12952333962254 0.0493842744144745 0.0354452374343505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0713805186536964 0.071237211382894 0.0124735782428498 0.0115048346620769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492290287565442 0.0468457523492213 0.00496177117819066 0.00492963187642718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.013358817521359 0.0137792081645196 0.000650760260826905 0.000251853404787796 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.00773291547977863 0.00847930132842853 0.000151300612997283 0.000380345510644624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0187268109593262 0.0208430998870741 0.000888197388757883 0.00274839949580857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0277386057461511 0.033423079085132 0.00214903326268082 0.0069771993092102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.014159802944987 0.0145986664159872 0.000731669185206379 0.00031012468341813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00794525571374928 0.00874402535932885 0.000157602956613804 0.000392783797474488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0187549968232151 0.0209025057347781 0.000886932721402416 0.00275496183517386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0276787713871388 0.0334436247544892 0.00214357706754719 0.0069805486074194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0167374563612421 0.017172583874238 0.000988051112014283 0.000495655310994627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0086543806019785 0.00946380088727349 0.000178151566270795 0.000428427041334863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0189057835712845 0.021056300187405 0.000889499092023575 0.00277283462216896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.027675932894933 0.033504586822365 0.00214015616529848 0.00699168926694335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0243697440348064 0.0249838614763048 0.00196547724528604 0.0012676404792193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0108924911913764 0.0116536493788751 0.000262061376306321 0.000558850435329538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0195174010040106 0.0216474483970459 0.000906372718292678 0.00284350321945041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0278364415101559 0.0337420646800087 0.00213967606840659 0.00703752553021542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0629412568193244 0.0645058602747387 0.0119558480735781 0.0101114132131814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0225779466351849 0.0232434651230969 0.00117324589894746 0.00175787934045529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0240668744965045 0.0260140434919796 0.00113689917125244 0.00346994544090289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0299003964448709 0.0358040280095666 0.00222380662974245 0.0074896962915362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.10345340947498 0.105968741265226 0.0320212126972439 0.0280534430626093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0355681749347847 0.0362231871582627 0.00303789174230448 0.00404443608416232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0299861365600412 0.0319225744267126 0.00164338036330393 0.00457621312746411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.033232567225761 0.0390337704988123 0.00244921994199394 0.00832191557349915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0212894068804387 0.0219732357398735 0.00154116564344655 0.000919644954314589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00994896736866312 0.0108432335404488 0.000221666964047948 0.00050265050445465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0193950659584911 0.0214300561195209 0.000910279977695542 0.00281514841212127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0279508714603172 0.0336629643445085 0.00216277526768471 0.00702260304423251 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0360787855102324 0.0370282331602006 0.00411609320162558 0.00304193302430078 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0141707343789364 0.015101885521202 0.000438222528117337 0.000819333104623357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0209811987022377 0.0228849600326535 0.000972961343669104 0.00299563712817177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0286345600140087 0.0342804986705868 0.00219680120393012 0.00714860603918204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0684767655460607 0.0701719782499336 0.0141704996240124 0.0118416556281761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.023891216645152 0.0249995241965558 0.00131510308921806 0.00198159436815055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0251999257235648 0.0269636125038603 0.00122664615714161 0.00360562542865057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0308692290781998 0.0362840259988386 0.00232728318215071 0.00760887333115912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.199440124676416 0.203546843459894 0.122038311262529 0.100973333073985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0662325069361111 0.0681563509825728 0.010666230540337 0.0138282263593214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0468927897778543 0.0489245541976561 0.00396616217766304 0.00918647323577358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0448260876980856 0.0499133519075443 0.00370834396449885 0.0119902976402961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.322950457931782 0.328586406195287 0.336655403287726 0.252710916110103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.107697086792263 0.111364311714858 0.0279142073461683 0.0371646669745451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.071841264982132 0.0739679173013637 0.00923220970337782 0.0203024945687224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0638421606014593 0.0684656152266449 0.00654097314222462 0.0210230400699826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0193755510846439 0.00648514619613145 0.00108848205909185 0.000143870646579575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.012129577923785 0.00219040112632692 0.00040081698331591 1.08990795182153E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0231053975566967 0.00143360414550842 0.00145887203811422 3.5478674971014E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0406796894158742 0.00182550276691312 0.00437054167689917 5.40706245368238E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0203218765129912 0.00850345088485996 0.0012038988314815 0.000233918113123552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0123128195274496 0.00284539050372038 0.000412336350731195 1.92246857810004E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0231430444094328 0.00176176273556105 0.00146148262740657 5.51592080166463E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.040686195360589 0.00195764799843858 0.00436993275200939 6.10454531637792E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0231324464641053 0.0128173990613747 0.00156278921864421 0.000492117186383806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0129151909246624 0.00425519932098648 0.000448438201796818 4.43923269648184E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0232634027067235 0.0024541360933752 0.00147113450543234 1.19217761107903E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0407144074849273 0.00227293732883996 0.00437303102046838 8.55017778014873E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0323038536080844 0.0230069661143612 0.00301616928139328 0.0014629213638874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0150513982714504 0.0076479736904894 0.000593609087125467 0.000145905892978203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0237389865984531 0.00419008380975908 0.00151338304091528 3.91510520687695E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0408390796150063 0.00316927999183432 0.00438947779774851 1.89246897984863E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0815330635784961 0.0660420792576528 0.0190389827884135 0.0107994800291122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0287707688501521 0.0220074979588083 0.00213212724135769 0.00121297229773845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0280012282503301 0.0119099507468599 0.00197421564538716 0.00034598339404096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0421156113072017 0.00780170792045408 0.00458619753282734 0.000139569762264846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.133967729817608 0.109253571021737 0.0524261232409654 0.0279089892160517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0449814948226405 0.0363969620794335 0.0052528221320998 0.00329050910766078 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0346231995377568 0.0196969558280284 0.00288747148020565 0.000960963624115214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0445654944441455 0.0127310324342095 0.00499643036962939 0.000388247276641169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.02835461906835 0.0191849102624013 0.00235035379070409 0.00103900667830558 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0141655847471001 0.00631216716641654 0.000534129789922572 9.9898763492461E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0235853553357608 0.00355195669973406 0.00150248765551395 2.73648236403174E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0408001820106856 0.00287097720273702 0.00439541912202276 1.53084019112157E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0464595638184499 0.0366492329277226 0.0062503788952485 0.0035104872669278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0190161811913549 0.0120466993599007 0.000940740287036934 0.000367391388197872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0248318897850937 0.00659075732409061 0.00162666379810173 0.000102264013971721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0411658235485564 0.00466579075062363 0.00445715638673067 4.66200494779462E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0878421269464264 0.0720105298212029 0.022423695959698 0.0126235155459703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0314299671150031 0.0237449540743891 0.0025698120496511 0.00142233699182447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0288583197034182 0.0128828119108002 0.00209742682673854 0.000407115011018637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0424657090182569 0.00866143166164639 0.00468072509605219 0.000177269030188115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.258779854819906 0.215721465894063 0.208167254470586 0.096941614121577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0876827604796518 0.0706595642312039 0.0203575825629301 0.0120903282512562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0542235032392793 0.0378619499930146 0.00691094738996956 0.00360946104315621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0540657469504042 0.0249991356593073 0.00691125198015742 0.0015929815770801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.423957104898201 0.365399536620731 0.588628940182224 0.247653828067836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.1439471120471 0.11847907790653 0.0555994370143865 0.0322322430455347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0835805424436344 0.0629468353069751 0.0159787890275577 0.00996415706078438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0715393854110406 0.041217692394899 0.01110681124056 0.00449027152330477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0319749189165445 0.0189378581844653 0.00305334176098678 0.000450601123380786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00952665045750708 0.00926538923632632 0.000218570245587562 0.000422555534987289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0199352724677636 0.0216860023237689 0.00101771617805131 0.0028976897407506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0349061112630928 0.0381911578409352 0.00295646058984161 0.00869002453329104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0322082000398002 0.0195963052318565 0.0031152015802946 0.000511542343517619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00969430679931172 0.0095036751505974 0.000225292360005385 0.00043566781481116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0199822180812059 0.0217531791236904 0.00101955647733094 0.00290431293572628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0349397752337643 0.0382152492737809 0.00295875917888226 0.00869292616165092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0329149347233011 0.0215277657988644 0.00329036110465025 0.000695356984565719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0102274856447936 0.0102305535742811 0.000247510118614993 0.00047558471595335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0201279090816165 0.02195331027808 0.00102513242389414 0.00292629726134051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0350007622116394 0.0382758134364147 0.00296257667397113 0.00870540519554954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0361064080783372 0.0284818243531721 0.00404753218547847 0.00148311990413911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0121223426955482 0.0126045137210487 0.000338087869411165 0.000626070638529992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0206919540666321 0.0226737675854418 0.00104766494909524 0.00301056258059645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0352232085794788 0.0385080822601562 0.00297675066651106 0.00875539508042916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0654962557478371 0.0685533526795786 0.0127629457804373 0.0107366226842914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0236303143354876 0.0254799937203036 0.00130667367891005 0.00203425717612563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0251328663194941 0.0277258236780504 0.00129591727055208 0.00374716227430458 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0372524888177576 0.0405564386724458 0.00311119162574749 0.00925934448169841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.102287013039229 0.111759310885073 0.0301765469747044 0.0298015193378936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.036886165831985 0.0397842439314533 0.00324806897824089 0.00472802080910068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0310928977471364 0.0342929890011357 0.00180694783404564 0.0050253142160944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0404933466273913 0.0438025770590377 0.00337231749424127 0.0101838683565451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.034626395415043 0.0250511914313955 0.00370323345860365 0.00107786362306943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0113453127328559 0.0116379315193204 0.000299953210509799 0.00055725507384403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0204628405684438 0.0223633362176628 0.00103576821142627 0.0029724659157437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0350423924574586 0.0384988472172935 0.0029611462380874 0.00874322802256823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0431411785799807 0.0388487630976291 0.00578196588204739 0.00312215874617573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0153468638273222 0.0162912860528391 0.000541241102289976 0.000922080973626484 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0218479902897285 0.023983334684793 0.00109510417030371 0.0031761034291446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0355492864160873 0.0391298304327496 0.00298624850803562 0.0088790743209237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0692419271242059 0.0713772930032238 0.0143018645549806 0.0117773013434771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.025233341140695 0.0271377093920232 0.001504286918514 0.0022635308321096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.025940409021694 0.0284044956585977 0.00134091113403934 0.00386022544908965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0374447572793087 0.0411619877818554 0.00310103198693947 0.0093770769814325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.190608914824209 0.207340955062108 0.104878888904357 0.104600299085088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.06914370320435 0.0742707767138148 0.0115336058012994 0.0161249418477899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.047886216647009 0.0522119770246718 0.00404170963364172 0.0102311064956674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0506835856030271 0.054822249070515 0.0043779822274797 0.0141317210540331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.312916946190467 0.339932850342534 0.293700340537432 0.275208425008762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.113108830166928 0.121937869053374 0.0304002688372479 0.0442697252029118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0729102686236454 0.0803351426146765 0.00924826410116289 0.0236568802817814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0680948069589245 0.0741044411143361 0.00681979151141497 0.0242676377321348 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0301051706720835 0.0148755031832319 0.00289956306848128 0.000231105231722503 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00915187683374439 0.00675904429823052 0.000194318320306054 0.000220533872758967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0216481512305302 0.016529307764313 0.00112305318001279 0.00161581047172474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0330020030769061 0.0276407993684358 0.00273137657571759 0.00436493714576333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0303684381625015 0.0157495543355073 0.00296042801159517 0.00029466487632212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00928209608111704 0.00721293046165426 0.000199365879131304 0.000237042233814411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0216680728224625 0.0166487396588818 0.00112464502232964 0.0016258380547206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0330163645655801 0.0276621255452285 0.00273330134162597 0.00436882221324497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0310873261704684 0.0183806984942322 0.00313196361801467 0.000494049305355502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00971197231300075 0.00827987268467393 0.000216301615943721 0.00028239781154801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0217688356139148 0.0169557888089215 0.00112984140621879 0.00165316676097565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0330647497469163 0.027731847246555 0.00273708384970137 0.00438087884982759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0340952803759248 0.0269783795105723 0.00383450019446841 0.0013542347384993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0112750308833894 0.011169620783197 0.000285361229950873 0.000442754922705946 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0222176056767081 0.0179276773182854 0.001151102583097 0.00174783866942293 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0332697565386213 0.0280132585468 0.00275072533854101 0.00442861187583249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0613884735908143 0.0706983530989462 0.0117234652178316 0.011429444469347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.021441345494154 0.0255795440949361 0.00105354660482923 0.00196152162170951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0258930468688898 0.024035465629157 0.00137646835456078 0.0025221907011074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0351206855231066 0.0307177286279023 0.00288270621083101 0.00491591990306372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0954175447632785 0.116270099833945 0.0272735568820188 0.0318994183557949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0333305033925458 0.0411549314499094 0.00261500558929671 0.00489503699027525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0309761111750748 0.0315230252295425 0.00182278684385523 0.00384105812413126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.038032804498026 0.0347471830512544 0.00313025765691851 0.00578445196368916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.032409591689594 0.0239571861632704 0.00344247563051409 0.0010126846386394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0107239863340078 0.0102426077328973 0.000259507860556266 0.000386856489066904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0220297756667339 0.0175948573102678 0.00114006913219106 0.00171457148165953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0332046377449882 0.0279252715238648 0.0027401504060283 0.00441649746599945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.039975223474923 0.0411018870783272 0.0052188362388269 0.00358700728649806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0142779605930996 0.0159291164246161 0.000457163079391443 0.00081893159378238 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0231706918196709 0.0197188734277492 0.0011959652569802 0.00194648308409355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0337221545742361 0.0287779183416728 0.00276830336840779 0.0045639852956815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0637299624833842 0.0785435944657662 0.0125804098308742 0.0144021722715726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0233178915137871 0.0287479069165348 0.00126353000135616 0.00245370857886755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0265919307621571 0.0252123142298735 0.0014193277929928 0.002717341576354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0354658121154665 0.0315327168411434 0.00288378251957948 0.00509114707207295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.176481966358542 0.228787105421896 0.0929321468175752 0.125363798810901 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0639774422976544 0.0828204065875292 0.00980109291566936 0.0196223725484085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0459625849523655 0.0524110525091119 0.00375160392463342 0.00971978761236303 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.047270960446286 0.0485047055969449 0.0040551887180826 0.00996198939979572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.294056644901504 0.369902156366632 0.269574993078343 0.320154316665648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.10415976402794 0.136218811605109 0.0255692495256547 0.0534914817219047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0686736911952888 0.0824861292133195 0.00802187445778859 0.02373321216478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0638096938538655 0.0706683496518089 0.00624606712873025 0.0202184181109524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0281538819771992 0.0134790231326778 0.00172604314684365 0.000321604156730179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.00754121310308133 0.00495543533359894 0.000141194448595851 0.000123479136936023 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00779481673799775 0.00755253222214034 0.000151491363182147 0.000372124773904191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0140007732525337 0.0136213126248263 0.000480291561011894 0.00124753078016817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0284321096273322 0.0145044215696922 0.00178711276402107 0.000394973608625334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00769084800172181 0.00547162745563268 0.000148661060966895 0.000138246203364037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00788722187427432 0.00773492759790405 0.000153551557556272 0.000378209754620885 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0140262916535665 0.0136658190565485 0.000482029464769598 0.00124886337803699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0293427242218071 0.0176156432500919 0.0019734669471111 0.000622779187670293 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00821052640705923 0.00669696690612917 0.000172582280784157 0.000179227398633388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00818327899001224 0.00819611698926826 0.000159404771251919 0.000396151656553499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0141017564313947 0.0138301591793411 0.000485375171304455 0.0012586815936023 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0337439414311821 0.026682649284256 0.00277752653976189 0.00156681445156558 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0101790544014637 0.00984369528168144 0.000270490034514974 0.000326172468246772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00917552883136275 0.00948135805574838 0.000183531640813228 0.000455432661323228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0144165499077087 0.0143722221607745 0.000497174927978727 0.00129424552203357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0673797620801137 0.0701426235567384 0.0120658304205951 0.0118863357249261 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0224200151066707 0.0245979443273674 0.00132057294225072 0.00175360763284711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0151221156814064 0.0161306717911229 0.000452079942809279 0.000946441233048927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0172422788667199 0.0177816198906301 0.000616359883645554 0.00159400790894574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.10633296539468 0.114953347166351 0.0309770075595394 0.0321549970228168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0360526124301731 0.0400435654211981 0.00339583848571523 0.00452432423499101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.022027796578968 0.023711164461159 0.00100214897647456 0.00184484556562381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0212366009593674 0.0220179353596315 0.000856177427749157 0.00211216108403591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0319495958932267 0.0227172284742248 0.00244482760874755 0.00110308403455735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00912493226243972 0.0085587037624527 0.000217782332835925 0.000260065193961436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0088058690812978 0.0090334659260072 0.000172735113888222 0.000437693999040207 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0142570806457237 0.0142159785092909 0.00048925339806051 0.00129682508850975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0431036248996427 0.0393704543796816 0.00475619256077221 0.00360363662619138 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0132404215182553 0.014235139439919 0.000462589166239393 0.000628603170270049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0108644224208 0.0115325315696891 0.000236641587570877 0.000584067610940159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0150395337667527 0.0154505745404144 0.000516112826884842 0.00140206910937431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0729166177652457 0.0752765107550522 0.0142426737310415 0.0137483679705554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0234895477656675 0.026579909141539 0.00144618255997049 0.00204191879730158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0159386697271831 0.017365736067124 0.000498223536004661 0.00108590294242118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0176340191064249 0.0185973920722584 0.000628324320562189 0.00173049382681337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.198832422254878 0.217966732881049 0.113986940090526 0.112741305783698 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.067259139187364 0.0770788398820355 0.0116380868617957 0.0164683897611032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0393920397912314 0.0439050137603676 0.00329909776793584 0.00601093892055118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0322340619889384 0.0345011505828628 0.00185893676244794 0.00458013172356834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.316035180996877 0.352594795486488 0.308212843980583 0.275493800489381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.11026072386055 0.125386628929392 0.0310040414924921 0.0434949312018703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0639439905466739 0.0710576800879105 0.00861552219370821 0.0158848461437001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0495234445794494 0.0527639465017101 0.00430884469249556 0.0103371550291196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0147339931357935 0.0257920026827352 0.00079707457190323 0.00144754622628975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.00617516734739135 0.00749896209376683 7.04727320144634E-05 0.000107102459062809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00631050322243101 0.0090842667093864 9.72158302459083E-05 0.000401124621160361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0114407467670043 0.0157062937205852 0.000308407002401678 0.0013553152779963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0156875736155336 0.0261048653248312 0.000905376630342382 0.00149346922976736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0065848799400112 0.00764659355616037 8.02632622856405E-05 0.000112887440794151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0065117946035596 0.00913788391452765 9.99941866528943E-05 0.000403864879485659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0114753797377728 0.0157177082579315 0.000309495692244166 0.00135650832880752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0187430309112415 0.027141227435079 0.0012525540139703 0.00164769332660458 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0077466724657837 0.0080346848244379 0.00011149807382762 0.000130350467150388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0070250332069805 0.00933611713448316 0.000108168212566217 0.000414263663795997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116238729906367 0.0157914476159758 0.000312749941662026 0.00136367498653976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0282817293006214 0.031287839038885 0.00263254230709086 0.00228049043731263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0111070761398675 0.00968323673910686 0.000244595591390269 0.000205832855366456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00844770651976719 0.0100805487341037 0.000141168593100463 0.000454984562399325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0121812608729812 0.01609855828459 0.000326084824225207 0.00139246877773168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0749712764352452 0.0617482944331701 0.016642598491871 0.00930094945571736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.027815955926731 0.0210404339371236 0.00180112986268 0.00107976057655118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0158026264635361 0.0151664555847679 0.000507567799632083 0.000839324944788124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0160090877278691 0.0187942106372669 0.000475220022187732 0.00167328409067136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.122978750037421 0.0970891867825519 0.0441042746898857 0.0229881604275215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0454081751588493 0.0337896611545594 0.00501859171670708 0.00288272248799245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0241256026559172 0.0214809786977064 0.0012594277535435 0.00155148588461111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0208541154662331 0.0225118786559228 0.000783535696631394 0.00216791070972241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0246634957749703 0.0297344025695857 0.00207143815915733 0.00205310968651861 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00984812988193567 0.00901468155204384 0.00018600043993853 0.000174932521419125 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00794779736878872 0.00976115456404964 0.000128139388031081 0.000435129137622361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0120322195260051 0.0159892042755646 0.000322044795727692 0.00137376202746929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0429090960943995 0.0401030168797447 0.00575975485573813 0.00393994175768714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0161399646534044 0.01303684976916 0.000560440279063585 0.000396234313567227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0107125291334528 0.0114711464840058 0.000222409612264395 0.000538555398195616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0134061758947035 0.0167510421150586 0.000362753185919334 0.0014401911196281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0821609690613209 0.0678441142280118 0.0200409522986682 0.0114404232664358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0301318680149892 0.0231528024496113 0.00214655666633735 0.00132217076720499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0171736175948968 0.0160566220944955 0.000612629980953739 0.000915707079044209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0169334013312429 0.0191155311545431 0.000528281664636488 0.00169135512524733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.236020945245792 0.191609268636914 0.167905553813994 0.0861790904292878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0862317964878717 0.0662751533525479 0.0189568980165054 0.011559552359438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0461201561461558 0.0384687353584009 0.0048321011803038 0.00473830962359318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0345662307259006 0.032940469742798 0.00230215366318718 0.00415832185807904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.378421760242446 0.315367552774097 0.457016172232674 0.219099402184927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.13736441703618 0.108212556909049 0.0489727282673144 0.031722064774665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0750205181326848 0.0626210151126221 0.012707670993265 0.0127603198075598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0538959404153024 0.0503908443672383 0.00556546483916203 0.00954354300205117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0136568622250751 0.0285177848859434 0.00051033823160384 0.00301810312026584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00640600246420631 0.0106003104256034 8.5110358931209E-05 0.000460099775289038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0116363869186152 0.0120848268621548 0.000281722297225117 0.000744202518661209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0200103443004613 0.0193353972902481 0.000816449144788598 0.002008043188683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0148814485377336 0.0291699598311062 0.000615102538861036 0.00313274297258546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00682889435317392 0.0108158703744844 9.56670641138061E-05 0.000473231786359184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.011764519710966 0.0121507882232558 0.00028403446295264 0.000748408722255795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0200426431210782 0.019370111959858 0.0008169814927834 0.00201075081544936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0183010772146425 0.0308487530573843 0.000937652792876794 0.00343949553714787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00789809378555547 0.0113369339584074 0.000127464604648609 0.0005088283061057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0121079342362005 0.0123472143408704 0.000291555983942399 0.000761917276220445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0201490708226074 0.0194670515200174 0.000819830152187174 0.00201999766447727 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.028351642922122 0.0362659755313483 0.00223371766505477 0.00454736995953896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0110090143128344 0.0131434496617688 0.000257418729096085 0.000642769376900927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0132045737976896 0.0130715015585054 0.000322677829688724 0.000815400684507149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0205358965151632 0.0197981693183925 0.000832632739829796 0.0020550098750145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0768233598151012 0.0715698139406296 0.0162054734285878 0.0154345601223379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0268952814900654 0.0247316874386149 0.0017140307944693 0.00194714122386343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0197145437871267 0.0180512178852767 0.000676800433714529 0.00129600885215922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0234948100830233 0.0222513814226501 0.000975876784167752 0.00237060940277349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.127081119329723 0.112780919127708 0.044769127150301 0.0357334392435244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0437025853400706 0.0382548993371013 0.00465679837418839 0.00439761611423803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0276752698950253 0.0244732324074949 0.00141818645309076 0.00216468762763897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0277167459533618 0.0257181005867474 0.00126929603629503 0.00292215116093645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0241156058832975 0.0335947745756855 0.00161107041814335 0.00399152452235958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00956981085258956 0.0123201884591853 0.000191943739653639 0.000581655191569148 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0128181435239078 0.0127885079809964 0.000309514821106373 0.000796643509692519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0203845111740042 0.0197232973230196 0.000825903681103466 0.00205192933676531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0423729685116747 0.0453732136125116 0.00494260623713891 0.00677508450563216 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0152479136544782 0.0161999450399207 0.000523839761347816 0.000922637372848793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0151119167413482 0.0144469381389348 0.000396731953484517 0.000935745367312021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0213274135153738 0.0205360863446452 0.000861064811341884 0.00215141236499686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0817490685951311 0.0762767661734076 0.0184121452629569 0.0173788608817055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0281193996027809 0.0262785644170647 0.00190080093617258 0.00219734396737131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0208681486030475 0.018958542761356 0.000760322304952366 0.00141913476769481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0241187710866481 0.022916733287973 0.00100818881381904 0.00248604000511978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.238899067019598 0.211813602208636 0.164002077153018 0.114904838654922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0815527010064521 0.0718108079983056 0.0165557785755438 0.0149181294600301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0489249195022611 0.0423688890726519 0.00476655843986999 0.00609104389756094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0402428355314922 0.0370819484046595 0.00256160841393183 0.00554021623031059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.389378475673558 0.342868799989667 0.458451802691758 0.275542950838398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.133615447079949 0.116281429177982 0.0442467376492778 0.0388123656440436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0779250408029103 0.068151817238234 0.0120797092753364 0.0156295729636712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0598399510624447 0.0551230322516055 0.00546349305455775 0.0119194847381846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0312130387184511 0.0179667301657255 0.00314378572824738 0.000394869032847218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.010350048480278 0.0103733001939061 0.000266741655317775 0.000559529427545363 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0229486105788762 0.0243903387463762 0.00126092162683853 0.00371348546955898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0350411066958558 0.0408003763892892 0.00305995383595148 0.010068236247837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0314503506291533 0.0184883888523575 0.00320557155034353 0.000444855834580331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0105604341919436 0.010610581897798 0.000274449472147833 0.000573297040673727 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0230040529381831 0.0244751255698075 0.00126311083131962 0.00372434457734919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0350384612239185 0.0408259648677782 0.00305889442692689 0.0100757729448844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0321056338874094 0.0203091705789242 0.00338000769597806 0.000610276775257869 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0110924193846961 0.0113085411203554 0.000295971672241762 0.000614175575879294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0231481252528276 0.0246719668512765 0.00126872306726155 0.00374949600663958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0350732222403446 0.0408940540351282 0.00305971755409886 0.0100927958363371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.035165774983976 0.0270444591782308 0.00412539236524498 0.00132947680698741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0129312102675703 0.0135413350687292 0.000382188893023363 0.000763956248836049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0236749261912905 0.0253288897487939 0.00129006235838153 0.00383526962655749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0352512900895229 0.0411420834048943 0.00306748586467208 0.0101537750804291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.063512619057811 0.0653800101629086 0.0125718875744213 0.00981042299404605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0241315228466 0.0257056270541275 0.0013116569353151 0.00212630817388677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0278994620214118 0.0299676221246295 0.00153035312928314 0.00457141815249675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0371294739924712 0.043140414602225 0.00317553697144439 0.0106916377422345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0988031226239893 0.10667522339988 0.0292083536374969 0.0273346144566863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0370635241249524 0.0392964214826237 0.00318333130510975 0.00468235877348046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0336572121079449 0.0360414984750864 0.00203207005640529 0.00583545885527219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0402844234584919 0.0462659969873559 0.00340542831450576 0.0116619332524089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0335131839843913 0.0245207758298396 0.00376377664569079 0.00104387678944032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0122224165931178 0.0127178382288223 0.000346881355541952 0.000702980195786031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0234730975031215 0.0250281246996021 0.00128354244401973 0.00379381709225757 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0352413233525517 0.0410471827135104 0.00307219524630384 0.0101196942305016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0422042478852086 0.0390442369491938 0.00588336937869043 0.00318037383324621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0161381241273839 0.017327197728231 0.000581906864818186 0.00108992582090066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0248236887614727 0.0265452114645919 0.00134815486592674 0.00400579563678236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0358205640618257 0.0416377184733538 0.00310666008989526 0.0102620641160345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0682983583164572 0.0724906093268227 0.0144009006956309 0.0122531448151285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0258973064982683 0.0281457049438491 0.001528993599806 0.00250496576679092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0288726365044746 0.0308991811639353 0.00161556531202363 0.00474566250402592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0377863065065538 0.0435479529610744 0.00324107792798995 0.0107809134682201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.188930922657638 0.211090956264254 0.104496600591546 0.1094823970816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0695299072864081 0.0759408164035526 0.0114536367694325 0.0170505328679468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0510675495300953 0.0545448169339455 0.00453196958802068 0.0115352824587823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0510128875539109 0.0572739600041141 0.00461946114668616 0.015906820289962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.308676090672087 0.344954957346601 0.286687735459068 0.285856470152873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.113430589368879 0.124396528143564 0.0299137130161281 0.0463418154285671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.076572402526013 0.0821590447084784 0.0100255950718735 0.0252763172511274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0690392900499579 0.0771413365265639 0.00730073815185706 0.0268666025928694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0280713822246115 0.00260800606397598 0.00235697423235496 1.19344545032438E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00570092207281864 0.00084707129048776 0.000116057499564753 2.15766410055466E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00896472008703121 0.000682134131588208 0.000173854168205135 1.68629014633199E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0177769235305333 0.000961195438524127 0.000637566241708533 3.8342761071634E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0284139044324983 0.00542875357258631 0.00242550401257739 6.66121281049102E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00597357630535285 0.0019259256428876 0.000126388094919681 1.05200367801161E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.009018039441137 0.00114158257515223 0.000175780140971128 4.22675784418326E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0177807313284432 0.00116844838992277 0.000637563266956161 5.15288843622249E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0293700523446244 0.00997302500516851 0.002626414244225 0.000238821025612363 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00670905944733516 0.00358704015938803 0.000157058094268947 3.4970579446397E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00918166397268811 0.00196919765214064 0.00018236575918966 1.15049552381992E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0178009910268704 0.00157391351388763 0.000639310601470914 8.55532668109403E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0336639385879509 0.0194648636508867 0.00350476896624683 0.000937131206040595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.00925773613295882 0.00703885938686372 0.000281876160690882 0.000130976995203418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00985355441597484 0.00376803013224993 0.000209914225410378 3.94891939435849E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0179083018440573 0.0026113064368498 0.000648070046992884 2.11755175663682E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0672281448259648 0.0578499550853325 0.0133024648541546 0.00825156411725311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0230736222261168 0.0209595836402938 0.00153647688267707 0.00113253360917944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0151102063196449 0.0111335837511184 0.000509414068809531 0.000327576405694904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0194557121123047 0.00727074826129457 0.00076207190399116 0.000145827257219716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.106870718370858 0.0961866239426381 0.0330720743632873 0.0221055854299237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0377235896255294 0.0348580421068729 0.00394413213509964 0.00310154933227545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0220702023701047 0.0184960529700183 0.00111175478935146 0.000892963993929327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0224051807006639 0.0120128437406888 0.000998750020949173 0.000387090672993761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0319411027147041 0.0165712549833893 0.0031455686131635 0.000677192800757179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00830494563030069 0.0057101962383425 0.000231519832896629 8.70746655861937E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00954265253041085 0.00316220010593397 0.000198823619499158 2.82069415106973E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0178746057364467 0.0022449141670931 0.000647902910497701 1.6120250239701E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0430834460224342 0.0328487399866908 0.00565823997543937 0.00268561282198492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0134867442680975 0.0113387417945141 0.000562538290675677 0.000336170221654489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.011159756749061 0.006202754640662 0.000275336892308011 0.000104068176646948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0182524596292066 0.00410969352296822 0.000679094574982949 4.9303211915422E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0730195250968789 0.0655094602211161 0.0157834236770243 0.0105214782958766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0251691903732616 0.0226028314154294 0.00182065584760593 0.00131499338617647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0159848585531853 0.0123316752672727 0.000582234702017293 0.000400971215679008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0199076641602779 0.00800332906748472 0.000807058118245468 0.000176552074685886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.206483982558524 0.194327628243406 0.129585110426368 0.0823283767727972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0726654082872909 0.0680020516207032 0.0142050531080721 0.0114932198197993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0404406057089139 0.036802146115943 0.00378686316080712 0.00351348034299285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0327434537491042 0.0236936223825316 0.00213830538137927 0.00149962984654174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.338963351537848 0.326954110483949 0.371837137977457 0.206753795054549 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.117778572533045 0.114179355383038 0.036814876515626 0.0310731486198025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0657631757973558 0.0620206547233873 0.00968156862244103 0.00984413648461008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0494435544387657 0.0403359698100768 0.00461364583515692 0.00441581898228057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0123382287045103 0.00876624511643585 0.000364900172217628 0.000220738677117852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.00429312304943203 0.00265260788616464 6.27990781409803E-05 2.25771611666347E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.00275128887931532 0.00166506475835831 2.21074910614714E-05 7.80435714631789E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.00473979494010263 0.00263514004521412 5.83244738893956E-05 1.94932019201039E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0144885672364668 0.0103321320867001 0.000523874406874599 0.000310395392397967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00502498225957962 0.00331733755687516 8.29844946908829E-05 3.44160525994752E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00311132761560663 0.00201426166118071 2.67618908968021E-05 1.07634009909497E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00488154888362701 0.00276348251874716 5.98672527267281E-05 2.0501948971416E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0198462620679464 0.0142927847736477 0.00101484967115024 0.000581059154575533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00672669791509387 0.00481794606382279 0.000141182617014906 6.91689933350811E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.003964657520786 0.00277529146815919 4.09004531286757E-05 1.95914327559678E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00529169712957346 0.00307805408308142 6.51706407399104E-05 2.37157157424972E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0335930258680886 0.0247032623115537 0.00300505615224823 0.00162939104076105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0111902170667342 0.00853555427676166 0.000365974326716429 0.000203179853774077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00621296766608572 0.00469091083568732 9.72948626791057E-05 5.51078796863345E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00641939411976158 0.00400731661558224 8.64153821296647E-05 3.69009052949541E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0925683440359943 0.0714890681518367 0.0247180127811615 0.0116356459060459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311607609319666 0.0245007199030463 0.0026897138681554 0.00153129025192402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0166098372998706 0.0131884657548275 0.000707058332812024 0.000432305039443532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0121884503170991 0.00892111879033928 0.000318942010854053 0.000183272765488215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.149770481973027 0.12081502180684 0.0694003627525455 0.0295703799281271 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0512998079534154 0.0406609184525357 0.0073259589192403 0.0040101623823489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0273540061454317 0.0218437227091992 0.00194017414277404 0.00116658256306007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0186956088186984 0.0142821467209767 0.000798297651681295 0.000477166617699224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0291396301904219 0.020080993482488 0.00225541873770323 0.00109237205094795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00957666053040441 0.0068550746205327 0.000271458604881386 0.000133769678187998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00550922390515662 0.00391133619817229 7.63496071459086E-05 3.85730759059863E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00601406156204728 0.00364058892495388 7.85712909145061E-05 3.123068971914E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.05410750192719 0.0377391203085991 0.0080586472894965 0.00354317660992415 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0175867214742371 0.0129553561871792 0.000867661522512948 0.000448662864650635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00970372464649662 0.00718192980872424 0.000237180345236511 0.000129748324808977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00819250754447566 0.00544326552864096 0.000138330856863596 6.67759244211414E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.103920113970323 0.0755174595432907 0.0316049687220703 0.0125852327216837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0341640187744999 0.0255432884881987 0.00321151832578296 0.00164073752621349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0186073017382507 0.0139731449152797 0.000885564218826461 0.000487255506898586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0132808186759763 0.00960264350081891 0.000383063327578962 0.000211525937035884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.291448793521807 0.245833385215587 0.295966734497411 0.0986097287871242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0985958928792127 0.0770341050770266 0.0279082789330342 0.0127523778358679 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0547266658733051 0.0414534144171598 0.00788734951010128 0.0040002687122208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0357633502424286 0.0273830923770296 0.00305118091326845 0.00171702889656328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.475333230508412 0.438123632442544 0.854165471923214 0.268047636071337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.158497826804763 0.129688429923963 0.0765261021727099 0.0322388598412899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0893973942462994 0.0691159674676817 0.0215616367785015 0.0102857407197887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.05827887217429 0.0452712139067454 0.00822145004389772 0.00449696579646312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0156952698776617 0.0292893924166828 0.000963480329220296 0.00118933045412699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.00681592258243552 0.011336493111027 0.000132552525983815 0.000570027082898614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0114760958681397 0.0143723755834281 0.000348009960316315 0.00121955251170148 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0195712492391082 0.0250135399046264 0.00107258976915686 0.00386364873770862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0166047300084199 0.0295944012099253 0.00106887987842595 0.0012478508796534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00738759240552923 0.0115660490999242 0.000142460805439925 0.000585453341462926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0115718232211559 0.0144523239800109 0.000350064000289501 0.0012253517136143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0196040482644052 0.0250420980530276 0.00107320077258497 0.00386724220816534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0191946863325542 0.0306134546452068 0.00138385276442775 0.00143103117342802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00866295440846976 0.0122048092360639 0.000172329286814158 0.000629894168669973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0118856182201505 0.0146975358102295 0.000356998303691621 0.00124371970605203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0197249042864528 0.0251287664436694 0.00107607431235528 0.00387884169607308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0275086317355204 0.0353854954190917 0.00261746927774776 0.00221156244740665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0118508596442249 0.0144149563440733 0.000294064387151415 0.000801285709287944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0129625049653586 0.0156009023058028 0.000385829916500381 0.00131659971189879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0201842741033063 0.0254601937194069 0.00108860258898828 0.00392422264471263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0702468761120772 0.0714699113545994 0.0148472680068064 0.0112077347531247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0270677972294359 0.0278436721825819 0.00166465530557666 0.00245726380521479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0192407792186786 0.0215156401446389 0.000713486779906636 0.00195476663024153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0234929803794841 0.0281821970758759 0.00123440292506706 0.00435556726629072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.114796373069444 0.113319061260957 0.0384908740843216 0.0295002946460379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0434107976999116 0.0432523111641466 0.00449679243174474 0.00560245051208643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0266221356572528 0.0287328079739022 0.00139230774680688 0.00307569692805945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0278164479576207 0.0321262652859802 0.00153663412193371 0.00511171686257062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0239985098691605 0.0330200765439418 0.00204781820403817 0.0018321704676874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0104703669310011 0.0132808307664534 0.000235731757492666 0.000708481769835291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.012507082861003 0.0151211502746099 0.000372807022437862 0.00127938997054235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.019983861389468 0.0253481387866264 0.0010834013471099 0.00390868933722279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0400198609183736 0.0445725786473011 0.00516396164911681 0.00392729977880462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0160727653850847 0.0177579380575469 0.000555656724588451 0.00111059540000822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0147374876010032 0.017018726394873 0.000452779645456175 0.00145004177859653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0210488871053998 0.0262193461481617 0.0011190819037475 0.00403346976009879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0752325655236986 0.0757720286199417 0.0169837284036397 0.0127075974384965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0285346997110026 0.0289361518388267 0.00188660028761078 0.00261635895174431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0201481057700588 0.0219652122566119 0.00078572380061698 0.00203036116696294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0240478178446915 0.0288324988641802 0.00126785163158713 0.00446580115954463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.217675457055963 0.211854153018104 0.139099735095837 0.103608334540808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0810079056039996 0.078628363099742 0.0164417590038237 0.0177961234714023 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0459587208595705 0.0466950805109907 0.00448155843570353 0.00751608548394665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0398922428770476 0.0443836252980249 0.00290393704181121 0.00839902938200217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.355660200033624 0.346259461543534 0.387808870205779 0.264303904489064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.131214376664458 0.127943904665132 0.0439067531998519 0.0467491629002364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0733937220665542 0.0745185447977949 0.0116382279089512 0.0188054318583575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0584157886452424 0.0639549425304474 0.0061022322825972 0.0163888848388426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0369776339123917 0.0175508944558585 0.00281717309513761 0.00123283689375011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0163366301682124 0.00573541529154288 0.000652743475674697 0.000130777949413281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.023053628668708 0.00276819138756614 0.00131958309637456 2.21321389295374E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0367985264460726 0.00249552180480586 0.00337224257178711 1.22962506251785E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0373602470922099 0.0193102359248401 0.0028969990705652 0.001450742402154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0165124013771593 0.00630171160993091 0.000663195608522303 0.00015372015417049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0230798689347704 0.00305195556220048 0.00132207738595154 2.74133165362731E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0368099187250228 0.00266040233222615 0.00337330231746175 1.4332926758207E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0386485898110399 0.0238539382207874 0.00314267076032248 0.00208508950568983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0169627295569678 0.00777212711251787 0.000692430924088953 0.000220931246297166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0231690501679483 0.00385164669102973 0.00133037360665644 4.35612982353429E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.036829562267498 0.00311835129860816 0.0033762434383328 2.03409089266715E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0439624994428618 0.0370467909371023 0.00418975203509613 0.00446610157507088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0185692997631525 0.0121053406844837 0.000808724561964932 0.000479102267033914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0235382175739073 0.00620589748248155 0.00136617660056554 0.000108439006681311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0369369214865878 0.00445071161720219 0.00339059028098109 4.44835929232081E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0826302355128763 0.0980157202760796 0.0171865752985802 0.0257141449268845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0294106485490554 0.0326946211469807 0.00203112829337056 0.00297195742139634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.027139104394559 0.0170525834767551 0.00173678780807704 0.00077547051625065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0380673320884667 0.0111726691329606 0.00354920909314511 0.000310601550061203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.130237534516753 0.158206279770385 0.046861315631812 0.061879193237703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.043302091304125 0.0536258194052937 0.00458743443465079 0.00760220171279124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0327903326135009 0.0280616363949977 0.00246028261690468 0.00207435305499483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0402780529463767 0.0182206454257579 0.00387594000860189 0.000847588680773093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0421385769340779 0.0314718365612837 0.00379461099592229 0.0033684008203725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0179654739204247 0.0104868291022058 0.000765486040805243 0.000371502454993205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0233925297436242 0.00531586185079772 0.00135130795669104 8.0172071426132E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0368665303274469 0.00392796458064194 0.00338415578933629 3.38967411098681E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0550916420949519 0.0553050561273774 0.00694390231485659 0.00909757703229968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0217235236826137 0.0185631128356295 0.0010887833979477 0.00104103749030406 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0243949127668604 0.00956986111665985 0.00144622894293271 0.00024983668661136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0371510560353899 0.00648294045615477 0.00342449596012356 9.95011006611877E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0906605611045576 0.104687711337147 0.0211072669131084 0.0290029846696101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0317478258610717 0.0357041971551172 0.00238492895187622 0.00354089796995733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0279934752139461 0.0184962915485436 0.00182510956415841 0.00090936861579216 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.038350090623571 0.0121279337425563 0.00359512865233341 0.000367651725299191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.253514506557042 0.291220118764193 0.198486503714242 0.18720144818172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0815814875949299 0.102827612611355 0.0174246841971145 0.0266630867520648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0508711988423906 0.0538737539166837 0.00577810805861511 0.00759259987446059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0493188949016753 0.0349925245952592 0.00539148361414944 0.00324864911221059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.413367299682795 0.468071859967741 0.565696963010165 0.423701713325427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.133119743073287 0.165410280712424 0.0477642035555657 0.0654510102757016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0785783409985632 0.0868199112970144 0.0135835182944143 0.0198015899334404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0666021853885794 0.0563198413329415 0.00895200921965781 0.00881203311213463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0338684361470293 0.0253810893465054 0.00346904131470221 0.000990590950918166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00922073866423846 0.00838070252056477 0.000201504274066388 0.00022595247947835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0159233693188376 0.0171395444104773 0.00057710262331729 0.00172161271666429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0296618638298286 0.0309265873732427 0.00182819966119513 0.00571885974831704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.034231894060856 0.0256826449632696 0.00355987275016522 0.00104243992138181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.009443137139248 0.00857328823906475 0.000212972490143001 0.00023523322423499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0159983078182052 0.0172301408536158 0.000579054037160553 0.0017281414785179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0296738251396987 0.0309804509510582 0.00182788049718662 0.00572411921382033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0354431479965954 0.0269406620964422 0.00384653163581253 0.00122352609253721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0101293297378444 0.00915104421561083 0.000247296948475852 0.000264751866995704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0162584610121256 0.0174581517949825 0.000586545307498108 0.00174773918849254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.029743532502462 0.031097572571974 0.00183008143457219 0.00574071318990398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0401939008232439 0.0320405974180205 0.00501779418996293 0.0019611386424927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0126187605513224 0.011280940456064 0.000388063629160922 0.000387516841306725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.017230719669953 0.0182322458144876 0.000618393204090981 0.00181923905456963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0300367902443368 0.0314597177005492 0.00184218901677069 0.00579724313509861 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0773461535378595 0.0679103815486242 0.0177198949159226 0.0105981993660936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0274889301865236 0.024358516514562 0.00189182792103436 0.00167555124353353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0235363488471069 0.0233084101987847 0.000983451752553118 0.00242631068128517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.032768260505735 0.0339814999898271 0.00199978745057218 0.00626822104386192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.121927300299743 0.109098345579954 0.04274842947983 0.0284393623435116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0441026505367222 0.0390464911932446 0.00488556404008765 0.00424193467699763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0313626688823334 0.0297982857688252 0.00174544787367295 0.00348842785801003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0369755824902546 0.0374852153802919 0.00233504190949906 0.00706216855037431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.037939543287573 0.0297595751680495 0.00449385499162842 0.00161297919221618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0114819007900853 0.0104624109473072 0.000323306014399629 0.000338756407522461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.016810167448583 0.0178878813868229 0.000606730713686189 0.00179101688908026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0298797163270739 0.0312537280245123 0.00184075477291405 0.00577177117676546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0500454826778483 0.0416902247081951 0.00775740966232662 0.00363574243009988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0168058733562031 0.015230989213936 0.000700296800411693 0.000680209887598121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0189693685977793 0.0195880023346769 0.000699653813790243 0.00196832818359877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0306576342996787 0.0320167020105346 0.00188230432845528 0.005905524341461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0834946386652194 0.0726134363139548 0.0208095442224332 0.0121561102410479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0297314660250285 0.0267724507939992 0.00221020722282188 0.00201748887008016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0246118475536889 0.0241002520519329 0.00108523808917302 0.00256319964474567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0332231368715753 0.0342772486625775 0.0020521316551345 0.00635648196168878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.233274995432371 0.207888730771187 0.156850988881418 0.104221058998943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0848909144535331 0.0761526032824627 0.0178319497336511 0.0161527227133401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0530017367815291 0.0478274215707283 0.00541688761125844 0.00811577764761236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0493751510084582 0.0478449802783818 0.00390580250578932 0.0102625112842408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.379410827754163 0.344900027153849 0.423770301757052 0.279410819490874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.139451886093241 0.124576226656215 0.0472435024636997 0.0440357257330677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.084162952763886 0.0747652608413598 0.0139314961506185 0.0194302386781944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0695295731418313 0.0653309560443104 0.0075185763166063 0.0179479511530948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0235051356796665 0.0300047200344272 0.00171044905923133 0.00162899610422447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00720918457071382 0.00864271503266571 0.000118065588954235 0.000193518920352778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0135548617128449 0.0116970305250889 0.000451449747503191 0.00075100352101457 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0249444291140793 0.0222246896311034 0.00154145474064093 0.00270148869640967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0239382963512264 0.0304201697904575 0.00178601608905624 0.00170593439956368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00739416074965873 0.00878223666241026 0.000126414538670636 0.000203737917561859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0136300717900734 0.0118286380173275 0.000453522459880419 0.000757839601662159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0249763826271722 0.0222239896028205 0.00154229582700949 0.00269972608317364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.025305775229565 0.031839688950896 0.00202129618615926 0.00195231554017067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0079866432790257 0.00939083761470999 0.000152008638487739 0.000238541548629976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0138709754477688 0.0122028239306476 0.000460432509332083 0.000780777707973453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0250797240202997 0.022284559507542 0.00154550864636402 0.00270576911303258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0310626290778958 0.0378135985103776 0.00302847113068843 0.00301269569114805 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0102776068269823 0.0119732523599629 0.000259800646535485 0.000389809023920816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0147015867785387 0.0133854527749759 0.000488474677147973 0.000863106848860136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0254432824726894 0.0226251115574255 0.00155917244303535 0.00274573085708921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0687802733609134 0.0791423097228383 0.0138510772057717 0.0149983843566774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.023863243821982 0.0274739033399632 0.00144149609873389 0.00201894516938761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0201271659834908 0.0203268502763641 0.000793035535083159 0.00155532759108125 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0281087785374291 0.0258988739446058 0.0017038240829428 0.00319257322586741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.111041764239704 0.12581410793297 0.035407396637978 0.0386879650710772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0387081693768353 0.0443376925771772 0.0038053872824614 0.00524935831115071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0269176906854832 0.0287130239757546 0.00141304143516241 0.00279563043588824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0317593082850136 0.030513322185359 0.00198907876808368 0.00398244682330894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0289007939326168 0.0353872654228838 0.002612777204343 0.00258328645404194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00950060949384007 0.0109667991123382 0.000217453310656153 0.000322918685691615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0143808449351599 0.0129628234040243 0.000476833329220331 0.00083618986007109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0252687860072423 0.0226797403158278 0.00155321288334389 0.00276303750851374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0424466767739044 0.0498048336963337 0.00541419002802295 0.00568686844518617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0144923884676636 0.016448129270485 0.000523980643286287 0.000724231399393502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0162731292053394 0.0154334442106715 0.000556034018904236 0.00104249397892928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0261067876577209 0.0237723330012813 0.0015912466567579 0.0029141731713384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0757145246009603 0.086900832454479 0.0164923894194401 0.0183712879991822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0262699080172145 0.0296522125263927 0.00175737809631933 0.00232816666779839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0213578844932177 0.0215556973990923 0.000881286627942363 0.001738836322223 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0285543579834762 0.0269351589752352 0.00174104319166331 0.00341629949793498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.21934784500645 0.243762591464233 0.138281615697379 0.143427331374449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0759949207580654 0.0849920828926032 0.0146834019789682 0.0192072857501003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0468359601509827 0.0510259655728841 0.00443137183384014 0.00836245284163637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0431292853366146 0.0448734022265378 0.00331079646251223 0.00781780843408218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.365131043805087 0.393061025621835 0.401970690985311 0.353035754405873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.12502091003714 0.138661214884308 0.0391249597358024 0.0518502737152242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0747657350241566 0.0823146396674379 0.0112410447398167 0.0215756089866751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0618048486326585 0.0664267698391752 0.00637218362286232 0.0164348227322921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0268863729389629 0.0179208635390405 0.00240371946212585 0.000491471475367191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.00541834109265279 0.00441336859324149 8.16907833162699E-05 4.83730963669932E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00797674387789558 0.00697968947396033 0.000126333734741523 0.000317212809864663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0104333067491768 0.0102240520819667 0.000272198123819418 0.000796700704589831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0273610848761635 0.0184927258426617 0.00250289359201628 0.000543710724803674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00579362913619528 0.00472148138571812 9.39059545940343E-05 5.65049053479787E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0080970476334459 0.00706741807502208 0.000129459480807154 0.000319219405417194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.010486568910169 0.0102476627644035 0.000274285090481055 0.00079373405434135 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.028686905596934 0.0201616126608666 0.00279126933727212 0.000702671749356643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00688651201219194 0.00561122674866053 0.000131669885938695 8.13004629940963E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00845060136799416 0.0073964687431198 0.000138341935239998 0.000330759638772912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.010654810840877 0.0103807387142897 0.000279186591560913 0.000796504618802491 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0345794126115924 0.026280403701488 0.00404296532424622 0.00136878606431033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0101664637348718 0.00835235495850168 0.000281675036875901 0.000182030346688462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00967172374922335 0.00846863987079369 0.000174591554292432 0.000374642885876657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0112749292009757 0.0108846944078876 0.000297651753593397 0.000815938586612083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0754329861013325 0.062753351865355 0.0174173734734655 0.00905537220468056 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0264498181706457 0.0219440720774175 0.00185212706048959 0.00126997024564464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0172334273195388 0.0145952875729297 0.000590956194328498 0.000779669963968531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.015589763433902 0.0141488256581386 0.000491022809741147 0.00101842619424467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.121627247067957 0.102409728609196 0.0438653183284122 0.0246266434694094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.043371295264805 0.036066991785448 0.00493589737428095 0.0034435404925021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.026024436847189 0.0216411654703113 0.00145327963051523 0.00153599185260969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0209890432660475 0.018153674106971 0.000879924928539792 0.00138832853074572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0323434465728123 0.0235651741390484 0.00354346664467559 0.00106365548635877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00917307669698899 0.00726513092593318 0.000227919907889752 0.000137087225653478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00932756619368169 0.00806117794798652 0.0001613782445294 0.000353917140422205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0110769034092058 0.0107426770216554 0.000288882252981531 0.000804180968320632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.047311283799085 0.0368359940271832 0.00719101338117225 0.00292783206763422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0157273515437541 0.0125271453498132 0.000659015154744633 0.000411489645230532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0121129398081157 0.0102582571411572 0.000268868872315091 0.000462666785984572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0125188213350914 0.011905528652006 0.000335638715677699 0.00085675117443053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0843340835906679 0.0682632360295253 0.0213883249153093 0.0107151215945221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0299154702759356 0.0240096065455542 0.00235725410082317 0.00151961580158471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0190262147125131 0.0156273232456486 0.000722343330572759 0.000862732354711677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0163616528079912 0.0148835813607576 0.000521299209769718 0.0010577987224748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.239748906478672 0.200312809926921 0.169297049916963 0.0912515892221174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0877750796835403 0.0710839471896806 0.0201010761138267 0.0134089022870362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.050025641712835 0.0401789547414306 0.00564133595398264 0.004875164418755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0353747335941082 0.0298806763303682 0.0024864235060591 0.0031014904665952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.38710476317827 0.332916829234486 0.46420719625626 0.235366540177206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.144072945987026 0.117366965613645 0.0542230287812653 0.0365606118802205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0805648191440946 0.0651598828649969 0.014746210771488 0.0127735209354707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0560688529251502 0.0463712316229673 0.00624616018133364 0.0072802673203452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0153849545197159 0.0253267458612834 0.000643418025075266 0.00157919231065159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.00489841931399315 0.00725020314792902 5.97199760068003E-05 0.000138833174262554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00503658919488727 0.00616704010109394 5.95632636341995E-05 0.000182166693942934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.00848221415417635 0.0108719584377675 0.00016908922557923 0.000616837900466192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0165332027978173 0.0258730719034151 0.000751033948841122 0.00167999258573795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00527142601798866 0.00750735169549427 7.01822548519524E-05 0.000150547361051059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00526312413191622 0.00633057591798739 6.23206502797736E-05 0.000187278415944416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00857665470030927 0.0109219411801755 0.000170242531054582 0.000618719366313211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0196886927273244 0.0277266063921155 0.00107393654496743 0.0019881884759215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00632052172802107 0.00830241579380516 0.000101911657124938 0.000186554011884527 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00579532376561046 0.00679444771920697 7.02056004579687E-05 0.000203637409572814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00882488938433788 0.0110836980338279 0.00017352919728882 0.000627181982118218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0292259120848118 0.0356211254956237 0.00236846068055372 0.00335531668018614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.00948706868100191 0.0111269479381281 0.000230688405556917 0.000335192475612294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00726922452132778 0.00820804981794089 0.000102211592660423 0.000263083438044097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00956935178018585 0.0116778873318414 0.000186752157088355 0.000661834570461742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0766681051564001 0.0835246890089844 0.0162570435592027 0.018025424637529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.024831044172677 0.0268771474327044 0.00160151456516533 0.00192173662099834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0147908074769015 0.0159590440013962 0.000461045070869374 0.000808101063734209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0137161963816785 0.0156627999083981 0.000333051689782782 0.000974038507337867 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.12613828021384 0.136074784381015 0.0445525547144596 0.0467151651287816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0407479297242794 0.0437532299115588 0.0043313430911243 0.0050724510118611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0231396678756729 0.0248121816940875 0.00120185904300397 0.00184894564465039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0186254290719731 0.020737135849504 0.000634727990884804 0.00153386716966103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0253365626597084 0.0322712324106858 0.00179368584462099 0.00271889267040887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00831291961017276 0.00979081048835022 0.00017503467518624 0.000262207194521504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00675387853547499 0.00770380289877616 9.00358547483487E-05 0.000241287936764459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00928071148198707 0.0113737016377652 0.000181367763144723 0.000647965943162155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0433941730961435 0.0490148206121736 0.00524920761751245 0.00626725982147253 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0142468098925491 0.0154333814352484 0.000520361346449562 0.000644887590745502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0095827075787911 0.0105142132459288 0.000181043828407912 0.000391030474019081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0107418967719708 0.0126489928863067 0.000216859946627012 0.000735202498391534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0828350105753592 0.0890761121967153 0.0192140986610917 0.0203459627874146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0271158387140965 0.0285254189604834 0.00190332294855766 0.00217233897432844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0161037802964601 0.0172122881029453 0.000557516522636806 0.000936756599639682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0142790779308781 0.016167870989541 0.000361489422449232 0.00103915285955083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.239432615793692 0.25281124889006 0.170557962282843 0.150200126639825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0790920844064275 0.0829337729725838 0.0163935668340117 0.018216281015543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0442497747977147 0.0473395776644659 0.00458854065058778 0.00655400587863199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0314386881582883 0.034324631801879 0.00193819000726971 0.00392926495804255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.387908585139212 0.404643921045231 0.48042739973389 0.350683531224823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.129031687148494 0.135449585080344 0.0441064536432488 0.0484545381223824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0718810097004252 0.0776243159465456 0.0120894772833695 0.0176997318841437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.050083729842722 0.0545838857976627 0.00496460472999409 0.00979886986618074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0297352358161404 0.0338633697543383 0.00162269651263007 0.00393586103273066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0112016133010184 0.012734087030078 0.000245254738955973 0.000629972490469604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0107557119284919 0.0118011647917064 0.000228969020731377 0.000695238080862831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0160755670618059 0.016681856151368 0.000511775842838131 0.00144833123149663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0302511084476758 0.0343218377817544 0.00171519331113704 0.00406390129751255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0113628343989207 0.0128971401458712 0.000254230137537677 0.000646063332663134 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0108543307392855 0.0118998298949428 0.000231422935342082 0.000701191391611491 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0161204820714995 0.0166979507681778 0.000512610761110893 0.00144797534574199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0319514818073585 0.0360220825859479 0.00200334557162118 0.00449025857590897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0119506107730669 0.0134984130797973 0.000283473535999511 0.000698585222302492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.011138394946804 0.0121933279200837 0.000239165610868356 0.000721396222204425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0162487071771938 0.0168095680299186 0.000515860770715139 0.00145662875001954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0386635109431028 0.0431395550166313 0.00321147847303029 0.00628921881264394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0141846463510524 0.0158380894973092 0.000405616511257426 0.000912081951523553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0121887770927047 0.0132289215024364 0.000271521902140955 0.000799904419295047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0167078542717935 0.0172580304997535 0.000529414545527498 0.00149658712023062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0835412888198213 0.091111407802869 0.0172278463762111 0.0246669070623477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0281865613951957 0.0310886103659537 0.00178795714121325 0.00301129393810765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0188317762924754 0.0201401243812806 0.000638702383524277 0.00151852275741306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0199019701906951 0.0206533711967814 0.000678047053001735 0.00188090902655838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.134084383196016 0.145541241176961 0.0466667471266336 0.0590471366366193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0443109453270921 0.0486951044655188 0.00465794629190767 0.00696479683715717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0268129140743367 0.0287804366533058 0.0014030254172096 0.00281889650779036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0242823325337288 0.0253702909776193 0.000982583265991744 0.00256693174860909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0358400728137966 0.0402333429301914 0.00267655369754156 0.00551792794599268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0133300568644634 0.0149324107387872 0.000354286163022186 0.000821253312367897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0117663340436063 0.0128046997486939 0.000257891382631631 0.000767600526439066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.016567457928578 0.017084529396021 0.00052600052793861 0.00148401014962537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0513224508141067 0.0569342294398936 0.00606673664492468 0.0103573366070449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0183615691363878 0.0201844562503433 0.000701754698911034 0.00137464739170515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0140100179792524 0.0150784191071346 0.000346681548985718 0.00096278671849227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0176263881349807 0.0181203317028269 0.000565905590633831 0.0015904689953563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0902557203670693 0.0991853689439093 0.0203999964462886 0.0286493165931456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0307624623942998 0.0336284183450604 0.00214687010012183 0.0034503387019283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0198027312156217 0.0212038840181334 0.000717059763429085 0.00165554934535439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0206033961113697 0.021162579305451 0.000723722956079549 0.00196456632391353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.255521438019761 0.275493944626696 0.183669423451581 0.189921168411659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0848734152687837 0.0925249224681591 0.0178215548572952 0.0236838120457005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0475161091879831 0.0511484639630273 0.00478545785505987 0.00816796487282176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0370803116767817 0.038487128934913 0.00240124504142812 0.00537564816943611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.412943705044381 0.437388058742527 0.514332847863299 0.434673085709331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.138033621719133 0.149092562980943 0.0476681567988029 0.0603773043736123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.076298487224029 0.0818898198107422 0.0124866884760611 0.0204697630128525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0561832345971304 0.0591196220025659 0.00560012489863334 0.0121316980228544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0263409066167334 0.0346255779264906 0.00220783262274878 0.00185964666407286 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.00803282744089682 0.00902890356483844 0.000152365867214503 0.000279512677269983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0164538867058265 0.0201055544696745 0.000661112688915101 0.00230564125386838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0288384846769555 0.0343969728873313 0.00193462234200271 0.00684352308908177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0266925915176624 0.0349135375510875 0.00228731027864352 0.00191462985222676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00829704320616013 0.00927095438320778 0.000162738480481014 0.000291891291648715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0165363067880282 0.0201816570812115 0.000663966378274199 0.00231333479008625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0288503938019225 0.0344365670563165 0.00193503918788177 0.00685004845976067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0279437771001549 0.0358086722741586 0.00254474008585824 0.00209460795402549 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00909778454039995 0.00992888728529195 0.000194659993992644 0.000326957102250809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0168087787501935 0.0203758316009272 0.000672054925156527 0.00233461552306099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0289156596206187 0.0345148966950761 0.00193813647543007 0.00686417915830043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.033624181630654 0.0396635213169846 0.00367284303146387 0.00284548112770955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0118009585080394 0.0121359286847557 0.000324918456737992 0.000463115791347266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0177611745568829 0.0210790970216684 0.000704461254183879 0.00241492282586516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0291932079173421 0.0347846964278617 0.00195156827149417 0.00691604683240599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0732169633538739 0.073131247609466 0.0158192657646154 0.0117234509016325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0267326040243351 0.0254969150533763 0.00173444992933589 0.00185985954774097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0238586256851451 0.026245061663533 0.0010602609856726 0.00313431744283891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0318645211219201 0.0369507961451649 0.00210646623333451 0.00738765394548413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.117580032291531 0.114279237313668 0.0394942318412447 0.0301939247129277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0430527842283095 0.0405904772783128 0.00456338753179455 0.00462776627130599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0313571079094134 0.0330862537838632 0.00179492102120116 0.00439685811754579 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0358900417071723 0.0403668734956076 0.00242383081737668 0.00824725529146316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0309743588126084 0.0379307023449969 0.00314597297609709 0.00248262213567412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0107217922679509 0.0112715976656119 0.000267472595258094 0.000403496503181591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0174476255242903 0.0207625502712073 0.000690642777130939 0.0023749616919455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0291035670910839 0.0346700296577322 0.00194376100870396 0.00688601102575514 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0440554243827899 0.0476430225677593 0.00613534096110403 0.00447947359295039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0161112289963744 0.0159682184658519 0.000617660605485357 0.00075468839429649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0196488586201623 0.0223769935215233 0.000783076579683357 0.00256884996108071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0298818629397973 0.0353178295406656 0.0019792741127405 0.00700806383657248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0773428856330931 0.0763629094519786 0.0178261257905828 0.0129140418441609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.028755057812597 0.0273123871114301 0.00203178946480512 0.00210378103888202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0252934056103024 0.0269813199335291 0.0011660754509944 0.003243622372696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0324083208931667 0.0374666090894367 0.00212759963791207 0.00746660340758194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.221187026647811 0.209834274389367 0.140458678447849 0.103968459526604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.082381684124746 0.0763064557739082 0.0169210122147802 0.0161698523230575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0529955722875138 0.051646052198292 0.00540300175120413 0.00947435438445978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0481319737097983 0.0516143201080099 0.00378847713226149 0.0116985778386419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.362854792605176 0.34584321872208 0.390673732211762 0.276512788755982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.134880824901741 0.124625161691479 0.0448419097013789 0.0438654790058774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0832003130471093 0.0792972781632798 0.0135580160616411 0.021734843329118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0676619985019854 0.0702343085071143 0.00704891179837613 0.0201193479853835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0226238151111932 0.00751501861601602 0.00191089241769191 0.000110310062770934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00504086734363199 0.00258090773378425 6.48475111431766E-05 1.58626669868197E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00816576825633632 0.00148158472356774 0.000152604673630656 8.11554798316108E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0147330424613856 0.00157416246041193 0.000463924376687725 1.16009739436802E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0234687934695632 0.00870029047056021 0.00203987921932875 0.000164659704454966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00551842674151662 0.00303116915832776 7.79965264727166E-05 2.28660267942128E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00822933846928854 0.00177855334794227 0.000154891296939473 1.0880451513571E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0147304843820768 0.00174105961311376 0.000463074600124327 1.32751025409065E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0256299231687532 0.0121168738304644 0.002407938061269 0.000340234796012614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00674545195212376 0.00417227258918706 0.000117309088421547 4.43520806350034E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00847695401631319 0.00243464280833502 0.000164161193899117 1.86243672195429E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0147638154769763 0.00211132362589755 0.000464977798259757 1.75560583601241E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0333313298678831 0.0210964673040205 0.0038860215332645 0.00106213392798115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0102727812588671 0.00714749727041326 0.000274028396385609 0.000131057054635971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.009526654732761 0.00407003461585215 0.000204570648900507 4.77371983982694E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0149641044855792 0.0030983810463702 0.000477693292231902 3.27475520426631E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0784034294877929 0.0607158833347564 0.0190453497427196 0.00872667626720585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0271678561555986 0.0203176562052852 0.00193467678862574 0.00105138726378271 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0167668434325938 0.0113284878386323 0.000646611660508694 0.000340902897080008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0175995651294062 0.00784811093828938 0.000652319133337257 0.000176148860728671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.126475866037171 0.101057500670924 0.0486385870331537 0.0235136264130105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0447473981756128 0.0337291275444624 0.00525051616166918 0.00287351993887952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0256362770138163 0.0186914164189187 0.0015411598677002 0.000909089687324625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.02195325291846 0.0127792720701379 0.00101504114465759 0.000446881437764159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0302683677869654 0.0171831401981041 0.00324204551500465 0.000699237318599916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00884469520340584 0.00590692602745826 0.000201819544741898 8.80857950616837E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00908923311082534 0.00341401306560894 0.000187876240768968 3.53581621345038E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0148641706888739 0.00262691811772651 0.000472794387537302 2.5941101949578E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.046721635453727 0.032267725881194 0.00715503726889698 0.00250409136389445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0154195841024953 0.010986690704193 0.000613514287413827 0.00030538214830965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.011492192348264 0.00625604032810169 0.000299975845055171 0.000110960414859602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0155408815568328 0.00438539485225512 0.000515334482794918 6.32651574819388E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0851341251117438 0.0636712837355177 0.0222733016547582 0.00962146922247067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0295806830311858 0.0215408437860187 0.00226181139684291 0.001166226690536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0179578605215654 0.0121629788389697 0.000754482793268391 0.00040174794295808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0182500153230871 0.00821688563409795 0.000703870792862306 0.000202708378103641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.239526021795975 0.193079373038132 0.178750034422497 0.0794509161536351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0874176272407084 0.0643087652374511 0.0198880893271464 0.0100633026945622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0482005740811452 0.0358674362307379 0.00559666417207037 0.00337651227338897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0354940970060156 0.0237856730064974 0.00270237893751311 0.00159617909876815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.387599073894736 0.328282239711359 0.49389026230969 0.204013961139716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.143195022107858 0.108013054020311 0.054032185345683 0.0271782879323369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0788629540413966 0.0595848494486941 0.0148273143154939 0.00921794578985431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0557252429627612 0.039363274743765 0.00649168837551025 0.00436645291601346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0163829334017813 0.00993570927451064 0.000930250279127967 0.000335490458608155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.00538649908901159 0.00340473234802366 8.98746621879387E-05 3.6473138407822E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.00417041467151628 0.00240664206328559 4.02887419349657E-05 1.51405460620385E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.00572922856901821 0.0030235120324483 7.15271310885108E-05 2.37859881673801E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0182388594073481 0.0114164223153777 0.00112292205318465 0.000427854285774647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0060146928343022 0.00392142378638768 0.000109286402099947 4.7113060709784E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00449075280216973 0.00267094000455603 4.59854219573226E-05 1.83358041413373E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00588856183347319 0.00313451619324482 7.49339818725803E-05 2.54342174650714E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0227163813533847 0.0150296394343069 0.00167536787333828 0.000696938292877141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0075181360167338 0.00520143148781769 0.000164893833879422 7.92558436566614E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00522033709254571 0.00330343235763282 6.09237334460397E-05 2.74702373574266E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00626116346452988 0.0034265522304105 8.21142582844088E-05 2.93408201157652E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0350255987203925 0.02459125212718 0.00380964912614862 0.00170950139699729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0116242988194896 0.00857129403580257 0.000380770982188185 0.000203673193792595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00727883374690878 0.00506882700473459 0.000119513938238784 6.43037758212444E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00731995403820599 0.00432371026952941 0.000107457304771178 4.41225581649755E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0916173503253562 0.0692272761401916 0.0258627825897356 0.0113066726355192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0309448152617612 0.0238035291658922 0.00264895997487801 0.00144561903431149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0175189729903695 0.0134118258027768 0.000756019637532609 0.000454782233177668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.013149504986549 0.00924873999095441 0.000363164319667639 0.0001979490892802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.14718386787482 0.116836639459739 0.0698383681016936 0.028587282266433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0506982857859887 0.0393800925840867 0.00718482008559897 0.00376707052664353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0283601070979995 0.0220689211833087 0.00204758400259071 0.00122339110693978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0198438362976611 0.0146753548655312 0.000878136784729844 0.000501339495963039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.029810868046918 0.02101154672918 0.00278668576605816 0.00125555811994395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00998692580118463 0.00733582118141084 0.000284717413780209 0.000150895565352043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00630728743072154 0.00425202538372368 8.80919772719871E-05 4.47192743972816E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00682287054331954 0.00390063200668623 9.02606453304049E-05 3.44213215230011E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0519607404399255 0.0384988854292225 0.00818798307741117 0.00379432137445709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0175490317276411 0.0133898984662712 0.000858307507366696 0.000475274632222093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.010148237619119 0.00736013583195262 0.000238006643105583 0.000135389767863875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00884451274198893 0.00562258082062486 0.000147954240522977 7.02877897012497E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0981110103423886 0.0760950544881259 0.0296484596010573 0.0130833950515044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0336958533010558 0.0260398153377152 0.00316359150359236 0.00170865317922424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0187454103445003 0.0141015656714926 0.000858599378517346 0.000496816754648929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.013825837410761 0.00974077779622822 0.000388094382925872 0.00022050413771074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.276195479604392 0.240555333753414 0.267257673968351 0.096979587009881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0969297063925573 0.0777155614398966 0.0275640629552262 0.0131089066657262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0538064696792189 0.0416065531486091 0.0075226678838086 0.00405103915449844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0367962670565523 0.0277028223711664 0.00312234773213981 0.00177318493192541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.451189140168676 0.421945878087182 0.766754076735104 0.257380485260947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.154623045873991 0.129579223364112 0.0741394901291171 0.0327643869802298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0868431196743718 0.0687517071442323 0.0200244216149839 0.0101855203111924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0601735681960772 0.0458145555635242 0.00857494460341381 0.00473558788176438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0138179883502222 0.0197277687467408 0.000710448982091522 0.000748457137235997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.00730163617312984 0.00989603353508962 0.000133974801408364 0.000421480795156849 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0124476519340254 0.0160508887271759 0.000423419219724478 0.00151993413873917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0207921445680556 0.0263445321777304 0.00120078975563667 0.00428848897122092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0150788404368775 0.0206657428260703 0.000822517703724454 0.000830165993020583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00766196180246506 0.0101624631328922 0.000142587840145862 0.00043527747434526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0125247940084259 0.0161864893798788 0.000424269799022148 0.00153280695879824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.020789139733154 0.0264179158928155 0.00119938845994285 0.00430124435708813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0181758746919822 0.0230500045196481 0.00114024672795563 0.00106555835219994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00861048595082954 0.01090782983217 0.000169825365771197 0.000476419819751812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0128308644902891 0.0164892684080098 0.000430163990964492 0.00156008091344595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0208653590714013 0.0265447176993724 0.00120022678725129 0.00432195540442017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0270967756994595 0.0305550129146513 0.00235286240017133 0.00201275440650546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0113434092238678 0.0132389809861193 0.000280446087186516 0.000632100794606864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0138770183358121 0.0174420539864591 0.00045908492648286 0.00165077815037312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.021235677493187 0.0269574135654712 0.00120907660264027 0.0043887982301821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0707140733127182 0.071312615009448 0.0146595397891837 0.0122424703316908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.025278014397464 0.0264508330040566 0.00150816722174163 0.00212917334942514 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0200445649816689 0.0233129245292315 0.000802666981511153 0.00237551484283751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0242350053466257 0.0300468625536211 0.00134304455561926 0.00493263587510068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.116084444723276 0.115194325820962 0.0390584754578646 0.0325545098508944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0405101414468415 0.0413897533158183 0.00401877641175647 0.0050113011835567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0273883007266898 0.0305110780200708 0.00153419619574173 0.00361919437984112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0283765681396299 0.0343013859291286 0.0016440400717863 0.00585044039425842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0237011046164824 0.0273372534224299 0.0018545665350146 0.00156548386654442 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0103500673190519 0.0121545571519383 0.000232762324857859 0.000561576854176267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0135954070548634 0.0168915287529796 0.000448141794779151 0.00159699766469307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0212258850439344 0.0266558663600659 0.00120282186670169 0.00434191916613908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0409626315773203 0.0424385094984495 0.00514267277603333 0.00410804707891247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0155485788431104 0.0167741173483702 0.000532623714291484 0.00094358433424773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0158672335667923 0.0188200031217022 0.000529248116726288 0.00179347107879699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0222868976335904 0.0274924496362892 0.00123081184767522 0.00447817993652234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0781367816150129 0.0771630365262288 0.0178557072853027 0.0144665198474332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0273701562390164 0.028005889108138 0.00176021520300032 0.00238703230368314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0213788330201846 0.023898983112515 0.000868501921647254 0.0024550413177362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0252705466907187 0.0302080547808994 0.00136473608055827 0.00497258922375242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.225694490478794 0.221963498738012 0.151706263234628 0.120417490796832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0773256481661682 0.0770771896589816 0.0148995939354648 0.017161522629886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0476001013845225 0.0495566710313847 0.00465128508812112 0.00866958228056666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0418319253270813 0.0464319275328716 0.00295484203181323 0.00938016547227749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.363049746662851 0.361104338776325 0.416681968645025 0.302282533511629 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.125763918153849 0.126398289751503 0.0396768207195036 0.046465273433997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0758737339601255 0.0781704665924298 0.0121964197801016 0.0214640261020072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0615301152345251 0.0671501388388939 0.00639935272633272 0.018561341978493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0244465412893474 0.0162701471990712 0.00218874426136031 0.000834783534890224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0127445139658784 0.00567942606789956 0.000465856066757849 9.83492170164263E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0220520251551294 0.00311161512146558 0.00123288180944281 2.47719543474683E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0380591733920006 0.0024464252157761 0.00358907879712904 1.16593956846236E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0252093018090433 0.0176306287014203 0.00230253306794107 0.000958692163382211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0129048972197852 0.00613426375627606 0.000476097959797186 0.000112973072609686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0221000404477872 0.00338699306235266 0.00123755603034904 2.9197630658211E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0380890375718188 0.0026244186834549 0.00359437252456112 1.34100335667972E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0273025656858747 0.0212671035119087 0.00263189789439785 0.00135069680918799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0134053817056714 0.007419562575061 0.000508665802255707 0.000160144277366159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0222101804662871 0.00410829110745773 0.00124819151808203 4.28300543446248E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0381374909225569 0.00306493164775833 0.0036023221338235 1.8695565001342E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0342005840704164 0.0320922123588332 0.00391997280304138 0.00289532486195637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0151823679586507 0.0112201369678578 0.000637075828003325 0.000348332762434983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0226048334153521 0.00617860111292023 0.00128651669641436 9.7407453966051E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0382937357311495 0.00436185145192812 0.00362685533421852 4.03399765172308E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0749322855446062 0.0848675010627946 0.017582464703679 0.0182286037679918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0273297593747691 0.0295086163937755 0.00198980308895904 0.00227764289914301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0263662713189658 0.016279599470362 0.00167930450569751 0.000686838620980565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0395781673836784 0.0108236977100236 0.00383148446986892 0.00028773852429694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.120900328166528 0.138752283753274 0.0458344625632601 0.0461888530501974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0422123312793034 0.0482548497160388 0.00471786418431686 0.0059617422101361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0323200942607727 0.026721269467587 0.00244324381722582 0.00185279595831904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0418212861176286 0.0175178090434875 0.00420121900329174 0.00076472645271415 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0311046303012687 0.0284303592263812 0.00328349371704362 0.0023144488499539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0144759742275268 0.00989095840668998 0.000584475690035437 0.000281777229634543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0224005799568082 0.00541129064578889 0.00126791652930522 7.40065330218738E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0380616773602864 0.00376386801319546 0.00358789110880965 2.89522904938227E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.045214594740905 0.0485691622875778 0.00653271999769488 0.00638435315655495 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0184083978226466 0.0169799736424626 0.000921841079758561 0.000796897522344754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0233689882200914 0.00924727747785925 0.00136305286027375 0.000218400915010786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0382469914342906 0.00614879121145996 0.00361401591177947 8.46593718643756E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0803697759364555 0.0913787675598342 0.0199713259969416 0.0212538399522851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.028938783935627 0.0321339716611449 0.00225099118975657 0.00276585963919669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0269101570776176 0.0174659232830215 0.00174674455334577 0.000786846252602793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0391833083821736 0.0114788089357188 0.003747165863749 0.00031739274125525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.235070257252912 0.262471948415932 0.177558496584721 0.151441472841194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0786895973937997 0.0927209620005501 0.0166141900407551 0.0219317348095854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0503876059230931 0.050720101999233 0.00581334373645321 0.00685338958498796 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0499612786745014 0.0331366568580531 0.00546078457745893 0.00291643716931968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.388041009796966 0.437794420285615 0.509580122511981 0.377003914506702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.130403236938153 0.154360892217659 0.0466863713118906 0.0574135897016974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0787759900935138 0.0839523703583832 0.0140044117137428 0.0188439384515606 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0675342278739088 0.0550184216053285 0.00893471582361952 0.00860858336040784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.02710417643242 0.022830139856593 0.00239852355654656 0.000976069635633642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0110059097459821 0.0106604835693577 0.00027107620333369 0.000474517664075947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0180737909314173 0.0189677298603792 0.000697173762422677 0.00210850151928008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0302343702325299 0.0321790848169809 0.00193971424776023 0.00609744097403425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0278113758583744 0.023563594713379 0.00250966407598379 0.0010560145125075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.011279111528198 0.0108749488272938 0.000283312674594777 0.000488196950296978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0181761766906686 0.0190565903589112 0.00070045933484067 0.00211655421740079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0302426799907558 0.0322340995609132 0.00193807782732734 0.00610638804858111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0298533094998308 0.0255693956170171 0.0028495970231452 0.00127258212877497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0120470754797176 0.0114906373958454 0.000318602412110804 0.000527987424763083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0184417935265282 0.019289536408672 0.000709572365667487 0.00213940717379147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0303453379475222 0.0323410636610417 0.00193960874128716 0.00612413418904287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0371470845723935 0.0323306330033656 0.0042409294434341 0.00214727524050449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0145510499752297 0.0135670200006415 0.000459393076613329 0.000677750372429537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0193535434226491 0.0200719225283245 0.00074538198403482 0.00222262090002715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0307459747428397 0.0326882369179415 0.00195168041569443 0.00618484514889138 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0803710416131068 0.0711505561094301 0.0184730209779312 0.0118970669331429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0291875279544761 0.0260663800912692 0.00197110896828871 0.00212804812351347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0254906166139638 0.0252441826127428 0.00113981129614995 0.00291251851271988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0339259241177017 0.035260933174081 0.00212138406596562 0.006704647687463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.128519723968009 0.113948216614914 0.0463910789483527 0.0315966278442808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0457384473958266 0.0405636454414249 0.00500998696635707 0.00493970840451759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0334378714965681 0.0319559874675868 0.00195137326607386 0.00413338195476318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0384703527661888 0.0390083762601697 0.0024761944087093 0.00761938458009797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0341497294992489 0.0293934923029114 0.00367154953109949 0.00172018370484471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0135688838997665 0.0127469224402248 0.000394932188616013 0.00060536052434166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.018879492930021 0.0197444526731487 0.000725016195431507 0.00218989601645877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0305409431254702 0.0324533095908171 0.00195182116826505 0.00614501976376323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.049691612968244 0.0434389605911702 0.00744233309902707 0.00407452788965915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0187994375006267 0.0172356571705942 0.000770213096854127 0.000986408091539389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0207923123790446 0.021429322905792 0.000815944498360025 0.00238841348534467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0313908030425608 0.0331710616221039 0.00199350147488054 0.00628015278490758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0875417223069194 0.07702521672649 0.022183789680582 0.0138361848740352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0315402088179572 0.0283096366421228 0.00229449093072918 0.00243013829146681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0262110927272124 0.0261433465540329 0.00119960505144201 0.00307160729661995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0341167559065466 0.0354845573669412 0.00216720053443256 0.00678184533367978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.246581569568316 0.220393652097692 0.173932740239718 0.116866810334701 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0872314205738268 0.0777956482140758 0.0183220033921202 0.0173134672005896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0541513717833844 0.0507762838073155 0.00547002531710051 0.00935305185818273 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0514027475803009 0.0504831817737097 0.00414658311930095 0.0114873977924191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.393458053631601 0.359560961080017 0.45850532604274 0.298894745056655 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.141800195371365 0.127108732850296 0.0479120302238318 0.0469578596540868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0851584679689915 0.0789583763316343 0.0137133799077904 0.0221333677874563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.073235984849482 0.0708529400333041 0.00801974912212535 0.0214522394411865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0214258291393592 0.0236579514684658 0.00167278564729724 0.00110980017185921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00893820282980986 0.00899175414560931 0.000198001945804318 0.000286483454591497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0156162187580615 0.0140734675701201 0.000594047469028755 0.00104243675014983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0265147899737453 0.0234316253047814 0.00172767152221824 0.00300419001996065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0222065258391153 0.0246683051420745 0.0017680012439356 0.00121672603689676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00922964204548914 0.00924250811028716 0.000208458887502748 0.000300299001805995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0157162282173687 0.0141628191231863 0.000597164675404285 0.0010495451552309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0265497375339716 0.0234354893996606 0.00172952518351963 0.0030040295788437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0243509152883192 0.0272980135191736 0.00205732881453209 0.0015204298776555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00993676551956462 0.0100539908237867 0.000237013549490936 0.000343948336387082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0159608482486769 0.0144467993576184 0.000605203216039163 0.00107223494957152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0266459717593519 0.0235072975459145 0.00173405966963393 0.00301071710266058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0312145896136626 0.0355606339580233 0.00317904011200371 0.00273021513703489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0122203650921866 0.0127426018423203 0.000349383058085366 0.000517346210065893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0167882172662832 0.0154826298414598 0.000635629957195982 0.00116112095987434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0269771339525122 0.0238888090736496 0.00175008855723248 0.00305898882279345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0700276528714232 0.0814593082144263 0.0145320465329069 0.0158700446448292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0253867810859887 0.0281757753782751 0.00155167732679089 0.00228916318299386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0221669998361735 0.0222532002036407 0.000949651157822213 0.00194300481449361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0295670048172877 0.0272237288737396 0.00190696805434132 0.00356106315030283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.11306232968651 0.13085356538421 0.0370394029199706 0.0418762092745772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0402622400514526 0.0452502042364004 0.00397732206750111 0.00576294265618328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.028917671556916 0.0306413493225669 0.00157673674808295 0.00333724770428032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0332768271322016 0.0319026006273097 0.00221062461495978 0.00444803191729154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0285915335846002 0.0323942749167744 0.00273973456472168 0.00222245027896607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0113831460750519 0.0119464423721209 0.000302706319064502 0.000454217365848014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0164250408867884 0.0149845160894108 0.000619935449583145 0.0011139905324301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0269037002009151 0.0236050939576239 0.0017471160390523 0.00302810485690856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0431051370568303 0.0497498051011098 0.00581297231678821 0.00564833534612805 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0162097613591363 0.0176972419687502 0.000613968925543612 0.000925071744856573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.018234914784754 0.0172061971389198 0.000700092981119465 0.00132218157787414 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0277812955860978 0.0245224869732482 0.0017936364796234 0.00315483574731242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0775082875973266 0.0894661654260902 0.0178218950273323 0.0194248609233508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0279528578096366 0.0312641160480569 0.00187350766446149 0.00273977366246156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0230902063497046 0.02318443762751 0.00102602077076902 0.00205448511806167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0302860547010835 0.0275536531499217 0.00196172999418419 0.00363038709561399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.222873964435239 0.254156477839303 0.146433006781189 0.156750224050031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0787003422414749 0.0886722238809917 0.0150878893567626 0.0213014245446969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0483087662531094 0.0531327115958698 0.00459736744694691 0.00910700371090277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0452470087621043 0.045437293460989 0.00368176027397648 0.00799051024829073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.366976000865646 0.405540548805347 0.414826097561169 0.38260532363779 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.129366177369748 0.144015681004605 0.0402456981407501 0.0563567551686322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0767290899659207 0.0849109949474899 0.0115860611698558 0.02295900911036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0653637444633528 0.0672461233900482 0.0073784495306547 0.0167760981788559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0193083063207732 0.0142831859314125 0.00128834355415842 0.000377888110128924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.00643054983085422 0.00509288026492918 0.000100462763621195 8.61454558798281E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00676925814074792 0.00653887627192433 0.00010955140334379 0.000283305257195244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0116100989131692 0.0110694571929944 0.000316240913349116 0.000907000725092222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0201122870156686 0.0152733623745702 0.00139068254901361 0.000438804197432531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00683185991567356 0.00542336834783023 0.000113315979844407 9.61238605949484E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00695062653796047 0.00666062657344238 0.000113820181479348 0.000287729946832051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116971093034405 0.0111035508654065 0.000320137118127168 0.000908519204588912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0226951185324388 0.0178654954900182 0.00173105689633968 0.000625930381254203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00787577908223199 0.00633796909449733 0.000150043441397106 0.000125728945548793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00741584054065286 0.00702937513117176 0.000124650983169477 0.000301230541004162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0118917517194755 0.0112474392673389 0.000327357837920631 0.000915998068286512 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0310853123143824 0.025688617477505 0.00307942774896998 0.00140387669757799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0110144957204361 0.00910566453061661 0.000296331019630656 0.000243144565262375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00885949527266773 0.00819997262437593 0.000166584198248958 0.00035069975278465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0125370274687833 0.0117732946631484 0.000351862689000977 0.000946062353102485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0765389598585923 0.0656546772692847 0.0170790581593081 0.0101691803414129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0270810977406395 0.022857764856105 0.00186330608543334 0.00146153844703997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0168372996960678 0.0147088843317965 0.000618899588517998 0.000789303943013722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0170482486016163 0.0152387866732261 0.000593610759043626 0.00121309773877806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.125060904303211 0.107895097165933 0.0450110371685623 0.0277176903084688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0441192871472918 0.0373134073818239 0.00499824201591149 0.0038758891547434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0258319601460199 0.0220178333990869 0.00153294488376615 0.00159357003980712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.022690323152682 0.0195194912672664 0.00106488952319043 0.00167265629654568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.028119420413521 0.0225957406231859 0.0025545449048503 0.00106386995047065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00978320430247445 0.00783455251263362 0.000231503699969029 0.000183573692667143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00815311498889224 0.00773911900169604 0.000141054403385445 0.000324735665828815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0121041523700807 0.0115140498710521 0.000329763601458138 0.000916313030135706 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0453809986354457 0.0375495429406773 0.0062559098924462 0.00319685998341857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0158503727069028 0.0128059839223246 0.000624825668537341 0.000465750933608704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0109761359888255 0.0100289509335982 0.000239181845140454 0.000437269122249061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0134119762031027 0.0125865717023452 0.00037386537489147 0.00097193477182145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0841949974348801 0.0704608770414258 0.0205941174879064 0.0118340287218985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0294687703343014 0.0237793355431084 0.0022178536548714 0.00157185109682802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0176515890711917 0.0155188575755479 0.000642467231228027 0.000844274286104349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0171845523615532 0.0154290376815077 0.000556377074808568 0.00118211615521434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.239996365603027 0.205178597413273 0.169402231846458 0.0979975085238083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.085173822737354 0.0688944980758906 0.0188115339570064 0.0130963815497819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0474013728385206 0.0404009829903993 0.00497643418157465 0.00494593073547392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0366449759643652 0.029850309142667 0.00252214019391695 0.00324379732566466 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.381257538773749 0.338667011968421 0.452661471287164 0.247430739695105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.13855077118947 0.112665040226834 0.0502020912087863 0.03495218476557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0783989836106922 0.065567085981928 0.0135941852499648 0.0132452665632439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0589922096931691 0.0465004368306493 0.00670221221663126 0.00782851061099497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0142655198067454 0.0202527103909872 0.000696099854139297 0.000790547861332426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.00492615159707826 0.00683363318695977 6.53138822878943E-05 0.000125085187456639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00576457593875738 0.00751009181802174 8.07468014193635E-05 0.000261922237775915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.00925330631810025 0.0122527021918969 0.000207018473261302 0.000780103455750536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0155731891384256 0.0213899564674929 0.00080578959481479 0.000884491006426253 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00541038567020414 0.00716783285550294 7.76793638835215E-05 0.000136630431263561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00597144024436342 0.00763670045538711 8.35703592785375E-05 0.000267679124621442 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00933589659075135 0.0122672290152912 0.000207694296058984 0.00078169340600159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0189003885432778 0.0242093139771316 0.00113081423730055 0.00116232172910836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0065515244338609 0.00808748909543478 0.00011207025610463 0.000172447298422536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00646587169239738 0.00801197182869202 9.19892745910086E-05 0.000284718103892031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.009553581180028 0.0123839637138387 0.00021073602970956 0.000789976906478194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0281810024357668 0.0327013738871218 0.00236934245226702 0.0022769559126843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.00976582210336765 0.0110210903164197 0.000246123472471465 0.000317457923007957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00788416928510293 0.00923317929030443 0.00012602952472296 0.000346389343519609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0102440422979791 0.0128819839632501 0.000224303694004237 0.000825378704324405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0733515592300146 0.077788151230991 0.0151322667226468 0.0144171168100554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0252656358590521 0.0267268446390128 0.00165376919357083 0.0018794258138584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.015465577905908 0.0166578344755732 0.000511066139669437 0.000927594058456582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0144147478656712 0.0166471256060376 0.000386607859436953 0.001165174729694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.11991800643546 0.126041624907924 0.0404111700396331 0.0383127673267241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0414014382186138 0.0436773750453703 0.00444546302632724 0.00508083300881582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0240192147959984 0.0253024359407567 0.00130482423400278 0.00202494373215608 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0194582737952442 0.0216417078709971 0.000726048032062143 0.00178405390190332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.023999664398282 0.0295295903964225 0.00179106590649579 0.00180577803404426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00836373689528222 0.00997883904269009 0.000183765096336088 0.000261289209729138 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00728244538582696 0.00875418888897013 0.000109573981054699 0.000317018662936945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00995808983074589 0.0126953771728217 0.000220634672428115 0.00080759355553448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.041191255501224 0.0470720852414823 0.00500577813838511 0.0049764874822908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0142023926955616 0.0160180725328078 0.000533334234586932 0.000676396312684037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0100138239416681 0.0114544346651943 0.000197680331002821 0.000473719814553536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.011359311855185 0.0138723266729012 0.000258827981215171 0.000895527805487441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0785861811584606 0.0868869180503297 0.0177518142640074 0.01780677127285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0269026008135191 0.0295960321077586 0.00192921092124062 0.00231788738288622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0163492785181908 0.0182039018297983 0.000560364723216534 0.00105086030616713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0149364397721874 0.0172673614505264 0.000415389209971016 0.00121728102907404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.228977666697171 0.251088662249421 0.157061571803843 0.144906642467981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0785608752056596 0.0854659940616536 0.0165415056846256 0.0195198789457886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0445102494277052 0.0485345733095466 0.00449569863318871 0.00691700485385898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.032512813748568 0.0358029213305552 0.00213886268040724 0.00441309281666801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.374346144088324 0.409246392751501 0.448986668000787 0.357554450003944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.12758208454327 0.139830109127039 0.0440654089573897 0.0527254745549322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0728658050435425 0.0788289038971723 0.0119529211387436 0.018523937289186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0516138634546663 0.0569656726013007 0.00542259198655687 0.0111205140763763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0213771590487002 0.0221796412784062 0.00146814186625255 0.00108976319987715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00791958668912729 0.00803985631089119 0.000149216363781908 0.000205366384571278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.00963040627070793 0.0101066193250381 0.000183929239609212 0.000491862038498386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0159343899461863 0.0161688573349043 0.000504935142596149 0.00136097650132318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.022288586132196 0.0231708263876492 0.00158190116954025 0.00119765408827436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00824516224542597 0.00837522646018124 0.000160864545626225 0.000219842550908349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00975112094472174 0.0102003498203164 0.000185899832780765 0.000496332014101787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0159709867840571 0.0161790136887978 0.000505919189179059 0.00136023912190313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0248132169626242 0.025969655437413 0.0019166870742831 0.00152357509465551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00908608377196475 0.00930708950022268 0.000194466730111829 0.000264439559786046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0100782379415027 0.0104903207625012 0.000193407306035477 0.000513182727999504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0160940428637668 0.0162709795490826 0.000509274118956485 0.00136725072552975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0329648018535851 0.0348402064325114 0.00322575643787004 0.00282694683911468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0117659625105886 0.0122724789418857 0.000328599917989556 0.000439571134896927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.011162294239149 0.0115549157943646 0.000225226505232111 0.00058179201326938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0165244256966247 0.0166746827463979 0.000523215782247392 0.00140353514041955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0774086506638761 0.0829842975134322 0.0168127683521859 0.0169765348253767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0268301287209881 0.0286182087540311 0.00178601777785637 0.00225392322826057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.017811617303424 0.0184790515098721 0.000585728088682976 0.00122034884461524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0197497714368837 0.0200471408340464 0.000676124849236944 0.00178090815908825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.12521520394447 0.134322406921919 0.0438871111784581 0.0446598164351828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0432922254539334 0.0462728948154396 0.00469595239278213 0.00582065040263519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0258933094703793 0.0271611207035584 0.00133581721823693 0.00241986229588266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0242115592272967 0.0247910513643824 0.000988944869913425 0.00247006426000731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.029592580076414 0.0311562142243738 0.00264221651316614 0.00224034898781015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.010745845471289 0.0111975133686778 0.00027460198748227 0.00036950417308827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0107533238193819 0.0112391212807033 0.000215637228920319 0.000566854695196541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.016438498525311 0.0166231969624137 0.000524332500242742 0.0014077787656424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0463023030222769 0.0487473390165915 0.00616877746053033 0.00568703583234384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0163770786946711 0.0171937408214972 0.000654474392130411 0.000831670647764678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0131104239257702 0.0136684973114614 0.000311248445063903 0.000756089638660873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0175298436262044 0.0177825496230231 0.000571191794990546 0.00153068608806494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0849782759442263 0.0891591587688645 0.020187107019928 0.0195017676212275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0296242389029722 0.0310392604984341 0.00219915054783864 0.00262832161952028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0190897818782916 0.0200769657915364 0.000692003834421495 0.00143301905562913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0207131057797146 0.021086920435404 0.000753254891647043 0.00194638337147657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.245295960571062 0.255339346338094 0.171336888209659 0.155722645101723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0849980722534141 0.0889267530340894 0.0183547838684758 0.0213396117617968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0480385203313532 0.0505714928964563 0.0050895021376039 0.00807747027051299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0381105118477009 0.0398453514628251 0.00267433129194125 0.00586740405109373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.399213219241417 0.409786541400049 0.479867462613184 0.378952629904299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.138881786564257 0.144615160061453 0.0489317919403007 0.0570706730471878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0782570936631601 0.0824006263951471 0.0140997291540347 0.0216039433576734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0584881900874574 0.0622562675327523 0.00652930857474544 0.0140479759019404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0220019124690753 0.0266708567096802 0.00167015117736914 0.00136168570513762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0101304722865137 0.0124547953416206 0.00024352345861003 0.000641374813029284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0176422829117371 0.021142256166782 0.000742040514096522 0.00255456175690687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0301789468793304 0.0356787429617104 0.00211459667433079 0.00735380339352723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.022730899969764 0.0274151500121947 0.00176473370479069 0.00144887529873997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0104367122142669 0.0126758479680537 0.000253739994583742 0.000656820633431677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0177357477871258 0.0211835910615458 0.000745609350633254 0.00255728284766393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0302249343473194 0.0356955681533453 0.00211966421316466 0.00735747301065984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0250456511630881 0.0293467076250347 0.0020897718822484 0.00168654404056776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0112276787772273 0.0132887330547945 0.000284410572320794 0.00070049504320555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0179739151473322 0.0213544436857082 0.000754269287029135 0.00257558242093753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.030317194006848 0.0357576034925609 0.00212734645088575 0.00737030848879668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0326718855154546 0.0356125157420081 0.00339353778438551 0.00263629808381539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0137101402214354 0.0153679633185961 0.00040669334459188 0.000867279261538441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0188040749104012 0.0220019931599459 0.000787884699686985 0.00264964930591042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0306291977563104 0.0359941291838995 0.00215062203529686 0.00742021861706348 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0757427224415889 0.0746860566735789 0.0167199741231058 0.0131374550970105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0279407555086588 0.0282141884662 0.00176102675006801 0.00247952140915103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0245077011927697 0.0270803618535521 0.00114341543523956 0.00336989799777194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0333401304480699 0.0382741023818402 0.00235735894108026 0.00793913879185613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.122968938550575 0.118888406037469 0.0431033446445855 0.0344190457295765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0440041482040667 0.0432159507917296 0.00452226167141541 0.00555642226889447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0318918113693995 0.03377408042351 0.00187857048068873 0.00464324017995904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0373411311618048 0.0418487262053894 0.0027429153668666 0.00888917912605196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.030087281751143 0.0327130472391247 0.00289849311813537 0.00217281613800235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0126843481873375 0.0144029296136227 0.00035288700939742 0.000783892473113528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0185181437219999 0.0217540847903089 0.000775006429763935 0.00263596735427077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0304812480177882 0.0358815264708066 0.00213499935871163 0.00740802045340795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0461502597433807 0.0463515488955435 0.00641115176178164 0.0047199985521357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0177939888446678 0.0187826543200387 0.000686948328968059 0.00119632303117482 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0204725179464672 0.0233085010108886 0.000867791774547018 0.00284720287301081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0312640566889306 0.0365412162352746 0.00218486584268804 0.00755948484470719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0833380973316038 0.0804306027790122 0.0200031379638654 0.0152754801591242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0299897144448927 0.029976504433559 0.00205086205040222 0.00276540287165563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0257715373404039 0.0278626619486272 0.00124043116261265 0.00358585577910331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0338777697752283 0.0388518131843368 0.00237477983732261 0.0081239496145563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.236230007277972 0.226848207893239 0.158625284437539 0.125411821809091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0833691878057216 0.0807369656676852 0.0165583193402207 0.0188686265231424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0528634854784833 0.0525126466947291 0.0052756671083534 0.0103358808772641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0503358894633339 0.0542992750209143 0.00434553687765589 0.0133202587180321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.380211650236344 0.369358187766506 0.427674774524998 0.31971994538676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.136444882224056 0.131112616489797 0.0441528074467584 0.0500356672498716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0831450449158481 0.0808957762180185 0.0129519335538339 0.0238959164930509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0719401616493712 0.07472862663446 0.00834886107917905 0.0237330084088178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0190280589525179 0.00678833331155217 0.00139159580941305 0.000111778064956776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00638940819537111 0.00234668217832109 0.000112204241404354 1.46671146982963E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00885270478405897 0.0015561204615154 0.00017437181447026 9.00689536219814E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0158407179607829 0.00164317707860358 0.000523113481920595 1.21967557038218E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.020200757916976 0.00841772256721625 0.0015394031558901 0.000173294716891572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00680348952231912 0.00291226362301625 0.000125999588805955 2.23074376390294E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00894131151285289 0.00182790770663848 0.00017752788172403 1.16769615640729E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0158623726680297 0.00180160200467532 0.00052449419539744 1.39069092393983E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0232236497599615 0.0120258515142826 0.00195581416472232 0.000358127497208212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00786709877869151 0.00414768652900256 0.00016594893671463 4.4808777414602E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00921802062688574 0.00246012523637268 0.000188526836872903 1.94961541286495E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0159238491183889 0.0021489089117014 0.000529054972168216 1.8112099644694E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0325662002971786 0.0209516703896104 0.00355062733185254 0.0010938713943087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0110065454450399 0.00719340326109008 0.000321225014412589 0.000133785701532114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0102610271011576 0.00407420546865098 0.000233101745318671 4.89838975634967E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0161950443246577 0.00309410295937529 0.000548065536537912 3.30840459664614E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0798163931495693 0.0599772465587616 0.0192106164494774 0.0087410862507738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0273462651155009 0.0204881899674218 0.00196245112007167 0.00106808879209581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0175409972162071 0.0112769617842343 0.000714649015979953 0.000344462194342372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0190134553868833 0.00765790685008889 0.000758657609116674 0.000174213794705093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.129332197597334 0.10003953029264 0.0501481086848158 0.0235257617528924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0446956002554181 0.0339969005836558 0.00522522512580603 0.00291293284733093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0265027988171045 0.0185999443779496 0.00167851044254125 0.000915485840207741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0235335100357981 0.0124401682683163 0.0011792550781774 0.000441922484159704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0282560167392624 0.0176385506488168 0.00278858300404911 0.000771922319186354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0097168657320212 0.00601717449467407 0.000251355994573421 9.4358671496616E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00979715047930489 0.0034644432626708 0.000214920232130891 3.56288171997141E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0161171827684803 0.00273869100155329 0.000544490403516241 2.71096222434768E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.045860433049653 0.0330246848020156 0.0067539572037461 0.00270496855338651 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0158670088336519 0.0113107330466333 0.000663124934993758 0.000331541309613104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0121780433890445 0.00632844575802306 0.000334536932334991 0.000111195620949001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0168723288082256 0.00450414978166225 0.00059852389273881 6.50433108526008E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0854862452639468 0.064810866343184 0.022147380894388 0.0101956976234581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0295544126254734 0.0221857057364313 0.00229199125967572 0.00126619986755546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0186255351794296 0.0123049751107534 0.000807754498512622 0.000404093307239177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0195558521681435 0.00835735963077046 0.000807926686110464 0.000206024346449181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.245388857832416 0.195887692975122 0.186705338889121 0.0826874816392075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0853013451775943 0.0659570276021905 0.019141635647391 0.0108416594343548 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0489976997079389 0.0362937786896067 0.00584316758173145 0.0034215503499371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0368960776427668 0.0240827078424433 0.0029130528494559 0.00162964564077493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.393756059815015 0.336389755780095 0.510252017566964 0.214327402238347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.139057640536052 0.111446421247495 0.0511039984543542 0.0294394761230101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0801796535705878 0.0607913011072331 0.0153551774662182 0.00961438534793932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0575171295369218 0.0405287297901576 0.00686633606240153 0.00479597618134216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0310344126217779 0.0202131531293246 0.00367331117093742 0.00146251543036818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0298988352931131 0.0103194317027759 0.0378941258508717 0.000762743931535405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.105346475814504 0.01781906017002 0.164931374521216 0.00404008733592257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.166087997114232 0.0297465823803536 0.257485683865322 0.00941206362571834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0327812662142341 0.0220982613300685 0.00425346275872276 0.00257680457466029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0309138951173069 0.0114808776058159 0.0381357555004933 0.00121250565996084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.105724672362339 0.0185787798277153 0.164205840390463 0.00426866800797282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.166159122533694 0.030441899735932 0.256299295969477 0.00959337761067266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0365429880284781 0.025867960924349 0.00558170718103111 0.00603173016103829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0330265314353822 0.0139767075203894 0.0387008895151708 0.00280148265567555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.107135011695568 0.0203523353672812 0.164801336722206 0.00516244721419094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.166926691986676 0.0318442317566716 0.255944782356167 0.0101911061007438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0468068331790304 0.0367154019025378 0.0102679281442516 0.0200552594822621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0389521043322424 0.0206676153021846 0.0409434113855418 0.00966818112298507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.110648551284558 0.0251686550484445 0.167177919926671 0.00911089344998215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.169178694975521 0.0359029559777676 0.257078080260814 0.0133802266694478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.101372384137135 0.0907611535948463 0.0631662556677376 0.126566129940777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0669517782911456 0.0520203488741346 0.0634358241079817 0.0681233457031581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.13073641087482 0.0485536141775632 0.196725623900768 0.0453929332275611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.182460775888941 0.0559027025840968 0.277726092896285 0.0426509458921532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.162451157899934 0.151964709720855 0.196918321137229 0.364602426383924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.099857361748074 0.0838100527475391 0.139958083235235 0.133400002915136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.154706222343261 0.0782680852450701 0.260231754168979 0.12306837817912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.197792568247656 0.076398296072585 0.320366289632381 0.0718986180375657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0438172210732696 0.0308263606835661 0.0111156630221903 0.00590419410077407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0370586196941549 0.016487274953626 0.0411423372635211 0.0036488676401436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.110894802336163 0.0221542724536739 0.170151554901773 0.00555173677139965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.170609920312474 0.0335295280673437 0.262928717722525 0.0111851976656867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0664009931604098 0.0487489486770036 0.0368496420214948 0.018057388655697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0488700577103671 0.0271425857501854 0.0507310722390415 0.0133017951941435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.119545864218002 0.0296879525439903 0.181635571510764 0.010566446501696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.177407447717684 0.0399149188257042 0.273427203748188 0.0157368139828124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.116132101344839 0.0892290815986766 0.126589390110813 0.0620934741098251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0741965266515289 0.0500833167510737 0.0829165696736272 0.043401645000224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.139018463876921 0.0470771552642129 0.21778562516096 0.0322103610228344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.193460722681753 0.053840337010428 0.307613387431061 0.0288264739691692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.323521441842668 0.273779961936592 1.07902531472473 0.440465834160915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.173797803926325 0.14817952298946 0.383294370421142 0.274120585301868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.220381326397257 0.124333416031691 0.49976073804044 0.17330331142003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.265799873099863 0.121298747920801 0.594773162713101 0.134603072254749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.589741652722988 0.513399187119444 3.58974410221395 1.11556319597539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.316630006556446 0.262967742083891 1.0254260196976 0.713770258681147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.353050520884666 0.215810560992211 1.07904091293821 0.417856370496435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.38714968868433 0.212689465460759 1.08105859683752 0.333098080554224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0270766471352276 0.0306444984904567 0.00549113872548427 0.0166031528933698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0682733887078023 0.0640112749127974 0.193829426568982 0.160838118227096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.202672035164793 0.198857684859587 0.53720697489251 0.436943482895581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.298492743399164 0.3054964920707 0.653836420508885 0.613960983474024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0308178451161978 0.0322329046469888 0.0256534884287228 0.0170346253170133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0692729601745096 0.0651683154138819 0.192904034717824 0.161690924659861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.204486022979758 0.199574394801618 0.53985021605414 0.437200348232211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.300244779771277 0.305948442456732 0.657499110475973 0.613933893996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0354255259457675 0.0352445369586725 0.0500721679489831 0.0184508405546679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0721390400334541 0.0670027076613045 0.199193861859954 0.162954488817141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.206553932111348 0.200897354590658 0.543335529236821 0.438069124020324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.302108375922287 0.306883072390436 0.662461081724414 0.614646298367248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0456636573622804 0.043451992570135 0.0681395200016249 0.0236535560210578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0773434609381315 0.0719088907751956 0.203612199556347 0.167023262776087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.211133126154919 0.204406542468092 0.549641106068216 0.441129974660863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.30619967989518 0.309185777588659 0.671589547411559 0.61657452452928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0933670920347611 0.0900032566280501 0.0966228033541983 0.0870464090113738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.100833363552313 0.0961111072187527 0.222963589110174 0.20527886543201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.232016532797242 0.220642904205351 0.591457322589486 0.46418657800671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.324559494357069 0.321888335762228 0.722982612214532 0.641155752552326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.156218487324176 0.146827458742687 0.263015187820148 0.237153340962613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.135053374729433 0.123138412004837 0.279132257104865 0.26206469550133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.257273021829782 0.243359613636307 0.635990419378384 0.527015570315121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.346349711874502 0.345135788585057 0.762527147574451 0.726802817610449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0371279224944913 0.0389993015450205 0.00855389020511918 0.0204475568718466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0741838763090975 0.0686580174370788 0.196783473115147 0.163797410210721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.209098742516936 0.202949107501638 0.547427438106725 0.44443467840437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.304510211468812 0.310117097938491 0.668617093647445 0.626869740990756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0550448434433663 0.0543532904743279 0.0253822373381129 0.0312988318776912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0833294412888736 0.0766566538227966 0.205057534258485 0.170754892646976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.215937032805912 0.20921181752881 0.556301273969239 0.455208495102242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.310508194804888 0.31582786746094 0.682961892565127 0.641928300750478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0949795535058439 0.0931513536386815 0.0724635115883946 0.07246110168552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.102775344478959 0.096253242777912 0.237091625974114 0.194871217369035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.231625620884 0.225391942822843 0.589221042643696 0.491740283353638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.324805941540982 0.33353431945463 0.72046927669526 0.6987728968589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.275082215281718 0.289601013746547 0.638112664698798 0.795296751881512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.20017906960225 0.19990050445266 0.453622413552966 0.441205929285398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.310362011734657 0.320576521484974 0.768190408679025 0.864736330535018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.391629703587178 0.413841503146866 0.890341173119785 1.09604902606825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.570343126719876 0.650359462104745 3.07687864305412 4.21592666300744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.366210585539659 0.464986988102634 1.12466706590131 1.36124313294101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.460448082603057 0.532717292286451 1.62950587126302 1.29901653062607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.545576000651915 0.562801802528181 1.92116741522334 1.25451815503403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0423613456930074 0.0304538109578979 0.0114027518107497 0.00452529253729317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0500182640409317 0.0255713524627826 0.0808889107305799 0.0123706837850029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.14495170225824 0.0524944411055706 0.287224965271465 0.0367516792490163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.210420197328572 0.0790704564494773 0.390149150569434 0.0621359322796494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0432699070820001 0.0329918433243146 0.0119674104213203 0.00856627525877037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0507867933993047 0.026860372776767 0.0815810874794285 0.0131058886927221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.14569088884339 0.0532868627519575 0.288308736610641 0.0370879387331991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.211048636439583 0.0795301674547157 0.391788707139386 0.0622239375708833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0455128217964103 0.0377922042970172 0.0134667376672776 0.0180198839070696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0521794360037812 0.029278196485083 0.0827509946613112 0.0147982022112634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.146931666061491 0.0549702610974075 0.290085895435393 0.0380445131360075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.211927721724007 0.0807420357338274 0.393892901202716 0.0629020847414788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0523662221355106 0.0503301482161169 0.0204777076640542 0.0415916815949525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0562300548899053 0.0355025340274732 0.0863006626524141 0.0196674552798926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.150469788199472 0.0605619485626437 0.29766115588609 0.0490732875872574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.214787360571197 0.0851236821818842 0.400145963649507 0.0683244762236621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0961532206981528 0.11198428747942 0.140801539804225 0.142419218670345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0776700619692369 0.0699363340294554 0.111066482158964 0.0741999181983249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.167902306761051 0.0860986255900257 0.347264908810614 0.0726347039811427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.228708574895649 0.105854115236741 0.440564728873757 0.0883176147288014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.141983717666351 0.176997429288311 0.144470604043827 0.342759194005234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.102783865032245 0.102269386884452 0.163654738781426 0.152148149655503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.186682118113061 0.112871308768978 0.40919885401925 0.112568068789618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.240755962001596 0.129762707004096 0.467277561572738 0.128194243329322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0543325487451463 0.0438328225285605 0.0927913560094523 0.0167320659663975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0557573210028993 0.0319756573654064 0.100552870112646 0.0151413826171554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.150266732699878 0.0587175851858617 0.299658604399761 0.0397839492731134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.215724150197852 0.0845967117883946 0.407086126351507 0.0653392912545762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0694569273433312 0.0672253851345647 0.11974120461755 0.0579902688212152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0639969252139352 0.0437991626751748 0.106114831348281 0.0298917422743771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.157549487114886 0.0690796223965787 0.319303262527905 0.0516322110063431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.223098410047341 0.0928952594011396 0.431206595326911 0.0756858928269805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.102017601588159 0.112362496336942 0.128429777924798 0.119722148785723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.085584090506843 0.0682511863142891 0.152951628872157 0.0732271852510263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.174711263289473 0.0893866085245607 0.3644128038804 0.0775467389879546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.237742965900077 0.110077862816472 0.472820009978224 0.0996139001359615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.293659561464861 0.371707802613238 0.856734451866855 0.930176093786241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.204273788652599 0.198762247429893 0.591424948738273 0.287125292706257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.284098626918468 0.187908372663209 0.76336531575384 0.225458018904695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.331432164883279 0.184231880272144 0.805476375375949 0.197052893654184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.586054271983728 0.763323398734142 3.59111004648702 2.56522666105537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.397467926361996 0.428423355030161 1.35735568862907 0.773669419825227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.453447154414706 0.352294503618856 1.31676962135726 0.547991529630547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.463783109032165 0.323320086096369 1.12982429311607 0.430824374378114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0352405528140894 0.035807380320431 0.0040832574425551 0.00286654043931822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0230618221804425 0.0247609169511306 0.0212272543794262 0.0282086925639712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.084971381956146 0.108570707920173 0.13774257344335 0.230136874900612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.16669646288596 0.204903886687301 0.255087788077269 0.371197598302879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0366252942165151 0.0370460415564766 0.0045967391326519 0.00322726609991515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0241960247232545 0.026087781326916 0.0216881861195059 0.0286001677338444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0862099848003703 0.109350993572275 0.138636055215208 0.229604538316972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.167547833474105 0.205539135670164 0.255839741901542 0.371100849433561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0395065337723649 0.0392655358087874 0.00596610714604486 0.00408342910467231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0261580493870922 0.0282274418655702 0.0225973216973695 0.0299051208769536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0878834814696429 0.110696069301318 0.139854869621043 0.229691836347643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.168830907820541 0.206765953395487 0.256933469048653 0.371752451682743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0477589102882301 0.0460658971238221 0.0112201510503366 0.00732634488821265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0307606316695923 0.033678165281327 0.0249561372535301 0.0358616186479989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0920080895100828 0.114623386275498 0.143354213523195 0.232543639106867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.171607999363157 0.209826652671668 0.258582165875028 0.374729618891467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0967964435310761 0.0869484685350605 0.101065011325341 0.0409742610278075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0549791853721374 0.0563157360893381 0.0550610801444398 0.0733133951639149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.110575801706135 0.130630057998015 0.165841804793589 0.258588250080826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.188175988179349 0.226424852241932 0.281540658814828 0.40373436245414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.151473880981342 0.135441410223367 0.252207516378397 0.118883765472701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0821315268759829 0.0809716909985324 0.113238682938349 0.112018750241481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.131191480561436 0.150724598045046 0.199977133543539 0.291851836455827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.207613039364655 0.24717431336049 0.319583494633793 0.448468651973077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.044935845459616 0.0429531847494301 0.011402144828381 0.0054472794773376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.028870362323918 0.0311370102478193 0.0237029610644307 0.0318265729843721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0903676010953954 0.113318940934891 0.146924667506174 0.238566242529096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.172228796554251 0.211118592922326 0.267825804986508 0.383458373995799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0618537064827915 0.0560991598738808 0.0274585909500016 0.0122367612831225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0370510515042249 0.0400623467651994 0.0290715512609331 0.0399690919918339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0978601968691249 0.120188736308395 0.158999956190579 0.250269151014393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.179751759996145 0.219203385485553 0.284630811403928 0.400271391926769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.101587325576565 0.0909591590409296 0.0678567582031436 0.0472817105857517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0550261571198328 0.0601145859257377 0.0437782908212298 0.0662279663964626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.114330134188825 0.136240262007421 0.1900169032403 0.279914538697394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.19622376895366 0.236757619783759 0.325123231364387 0.443576956351061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.279676713560899 0.259660464234851 0.683161626917667 0.485657922055223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.150138409268408 0.14240834168558 0.316967169442866 0.225661912660909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.192885033589452 0.20842273559688 0.403788224528036 0.464120355624433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.274365279539977 0.290103416010195 0.591904898442156 0.567983229285471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.513567934113578 0.553197613824209 1.84960893504304 2.81836312941307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.296339801296726 0.346790683634788 0.773219941264911 1.02872328604277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.30103926212479 0.354659909197753 0.774092117044709 0.754949852324745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.371805473245398 0.40062283438911 0.941494067363113 0.772911006331005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0339852513662829 0.0330385879344848 0.004296729869092 0.00477806859023036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.040642314364444 0.0280828145059027 0.0915265985746753 0.0478070410537312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.159305583835634 0.128839749183709 0.398927815943688 0.277126933339239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.282788849714915 0.241985701001923 0.677902799124429 0.473123608549846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.035350285007503 0.0353521673438752 0.00488426821068817 0.00575943379262802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0415039611067785 0.029507350901151 0.0902373538796192 0.0480431318099413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.159412966544352 0.130125265513566 0.395170889903098 0.277335980200579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.282155899706257 0.242899326131279 0.671547433562442 0.473850186157446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0381098253348059 0.0394258466864552 0.00643315801198622 0.00826413857562747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0431846810125515 0.0318383900071019 0.0895350889844029 0.0488196999493787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.160188509133625 0.132305513753735 0.392221891912129 0.278224703437785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.282089126768209 0.244375916577006 0.666446688851699 0.474740749622635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.046623884829201 0.0497240854714617 0.0124436187441222 0.0164434024489476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0476458613610306 0.0375862073348299 0.0896347007689449 0.0520563767912398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.162176739240651 0.137465707109832 0.387299554704776 0.282363742459451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.282434080373618 0.248026181420575 0.657346139214249 0.477071267560901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0949299897554075 0.104125792878386 0.0839997012993731 0.121723512174191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0696112820993483 0.0645271956889884 0.101996004512883 0.0797207355262491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.173566734362998 0.155664265806741 0.379158479206367 0.298819782635909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.285756532043835 0.263177468538819 0.628850998080093 0.491430107146004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.146526764206267 0.158630517418488 0.205360565749596 0.249384959770213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0950471662585934 0.0958654979105416 0.130063997567084 0.146110314264021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.187601191824957 0.177624832131858 0.389339847220411 0.346809069694034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.292483616172542 0.280393820561339 0.619047029093384 0.520317987041991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0443025356901995 0.0448489694666098 0.0140522201724348 0.00988973486472752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0477732533071524 0.0347312273897642 0.0970986726668417 0.0498715241434909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.163860138660481 0.135149104718991 0.402130085069514 0.281970438356726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.285811634268398 0.246974653367235 0.677723625059665 0.478065815693551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0635562462524993 0.0645860819129713 0.0553453417799897 0.0232680822499387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0581674031144263 0.0451694911156145 0.114511888508786 0.0562223764269357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.171198616822674 0.143110836557615 0.41276790209921 0.289100594445029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.290833562927961 0.25353302867307 0.682961644153171 0.48543767013346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.106985342218937 0.110770729748908 0.181030346086061 0.0887794968141538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0789350519167766 0.0751562845907993 0.145396593719953 0.140979376793872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.184187850963734 0.165856734485553 0.432084010938937 0.33432151572278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.30098071276482 0.272946984274556 0.695202345672657 0.529885438438218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.290320642263709 0.342559489803266 0.815369349711115 0.845515230789496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.177928943136262 0.20335497879494 0.360726826245171 0.358318109556728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.246590541314238 0.253306645961283 0.521309883163035 0.497938797851798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.340243106838677 0.333691018512951 0.720870796431844 0.639315862917593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.532552934009992 0.698323971288225 2.43457929674137 2.80461996034422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.320531882968488 0.42543193341456 0.727690290130385 0.981744053050843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.367199758996952 0.422256339648333 0.788189173287733 0.878346704315084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.436408427363337 0.472624804979367 0.914403980482816 0.992564858215409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.026354952239129 0.0232802533443526 0.00235620312633797 0.00161607160815545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0215302848818 0.0279714818236126 0.0178017418056453 0.0570303312132133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0885166349252179 0.113648923936065 0.142925336841962 0.219851451438552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.164692854025328 0.190414046969324 0.26562629770624 0.304698092869962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0284269813806292 0.0250954657014659 0.00294955960588529 0.00223050520731771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0234383417700736 0.0294867477193436 0.0183179577332162 0.0578438688897014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0903476293492997 0.114767956234849 0.144562483190933 0.220629248149211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.166682611525583 0.191268949910399 0.26888406492203 0.305780727724709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0326159241562038 0.0281477221731852 0.00486943948941834 0.00359350705430409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0262776137265348 0.0317154056463396 0.0195885306051139 0.0592864022497008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0928078503166357 0.116381774839096 0.146690511953392 0.221884491064082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.168903541552346 0.192469427596252 0.272157133546433 0.307019129407016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0443524716348952 0.0365128774282275 0.0153235759828577 0.00810827993197537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0330208951113524 0.036634649623479 0.0241312581179541 0.06299674418683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0981283937322689 0.120352994559365 0.152062421884223 0.225288517502034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.173541285012409 0.195695501362993 0.278953967620195 0.31132407616684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.104132183688268 0.0814904347305158 0.194331108170529 0.0646179607035161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0642017173404302 0.0626909417720143 0.0855762792329354 0.0987058774407873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.119408043327846 0.14111765835297 0.176028133041294 0.251352821467348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.189218478083785 0.211661397369669 0.283093056767943 0.334970766144024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.155678324956574 0.132796759996277 0.247990220196429 0.212980956918663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.091799425606816 0.0915679511968646 0.124955785204381 0.175409331479634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.142919636016416 0.161015784869044 0.218270402510511 0.283356076506553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.208519828580431 0.229312506516016 0.320201094640854 0.373261845702302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0384855639786742 0.0320392458609557 0.00738505896980863 0.0089217338337734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0280870829157805 0.0340577052891437 0.0195012796673531 0.059418354087092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0945610313463231 0.117444292664986 0.145795564715835 0.21787479397596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.168334132450273 0.191244510868227 0.266252855299186 0.298708347905349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0582091718613978 0.0477938729181405 0.0208865458289427 0.0305211238009414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0385793564570443 0.044179269073665 0.0250333496430378 0.0824067899599276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.102678366504474 0.123390488113033 0.152359523261434 0.22227958387617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.173425651705676 0.194755530198321 0.269890693543463 0.300689648543273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.102187540073571 0.0957992386907224 0.0684967046680875 0.142417721101442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0620440786235864 0.0723724211639927 0.0466965822529128 0.122319807418813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.122877541930101 0.143255045533628 0.189830116231703 0.23281829602625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.186981255356297 0.210415141746609 0.285646046881112 0.30395680723883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.346235713783913 0.265222004960863 1.35825669918526 0.478989814286894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.200407307298087 0.191619090208886 0.397147585054631 0.387852025109677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.212453682826439 0.249007101639573 0.356258806171259 0.507880176800752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.251409275468037 0.289388264020034 0.387679112197552 0.456380960731004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.520303383070494 0.530383465675649 2.33644158991346 2.23075861880569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.300518493371943 0.36966039166335 0.780672488772893 0.998829735059484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.315785100052697 0.401508584156344 0.731305635764348 0.86334253274529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.349670316026545 0.424981806586512 0.715815346019061 0.743119326626269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0244415732388109 0.0290814952100034 0.00213421900550551 0.00172564312596072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0239582935990702 0.0285251368264485 0.0250500208149993 0.0408264864201536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.112619136488471 0.109097663450284 0.247999385077727 0.193264570825014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.212013848975863 0.195265652963391 0.463836788574165 0.332768491962259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0256995360555262 0.0307064205007951 0.00248201548787512 0.00214345231413968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0250091756530199 0.0295889054246728 0.0252598319992235 0.0409675052862863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.11337251255633 0.109567679842902 0.248612188104342 0.19188277592935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.212788000638426 0.195359996567339 0.465085920213532 0.33099936498098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0284352698027372 0.0337117654613853 0.0032921355936543 0.00313054463482805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0267439159554257 0.031398522609409 0.0256999188779491 0.0413160098602456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.114627769758504 0.110521173132338 0.24957008290918 0.190655248083015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.213947466540984 0.195950202926301 0.466762529226182 0.329559970313273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0367468036014425 0.0423575955645313 0.006728062776405 0.00658419758360187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0313649120011422 0.036116578369821 0.0273250768779313 0.0426872142547207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.117598608552297 0.113195366909595 0.252514036976599 0.189511455825599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.216680215874496 0.197615854516264 0.471368826280149 0.330829254871115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0846020228259281 0.0882449698579209 0.0520049206846198 0.0361087311317182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0547722373350601 0.0603964938542323 0.0457014015730394 0.0587471088792394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.137473906456235 0.129835921168424 0.291194522569626 0.194418285710082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.23200264590469 0.210578314766409 0.505475555332628 0.338736627429958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.138786839351084 0.140400308296139 0.172858294778343 0.105575286276263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0794846149983609 0.0883012017660703 0.0768753190134823 0.0964264752755656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.156377083479501 0.145365326504382 0.339795330156759 0.200487287801692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.246791449598078 0.222242493856301 0.541145868598615 0.339489596800987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0327597763287868 0.0398023357517818 0.00417580566420816 0.00648501496921445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0306348973080072 0.0345366617229787 0.0332367323375852 0.0421443762011595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.116279464431303 0.113819559761574 0.255223124370156 0.196730340686582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.21686916248214 0.198341278964057 0.476922546110841 0.335573178227586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0493878574085323 0.0576354262842022 0.0121089343281649 0.0186182860322464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0392439246178227 0.0430705787471539 0.0439620638081968 0.0443383149093627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.124532261799785 0.119107376229781 0.274765448297852 0.200393800761826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.225256474155587 0.204298631441325 0.50305571358351 0.353029175232516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0883285806341367 0.0996937034117328 0.0472447267991716 0.0658025886039737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0574282080696183 0.0649687532876441 0.0552193060718165 0.0778595004629362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.138572068351977 0.133416673833259 0.302585949348439 0.214817217897134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.239156281438099 0.21375514679183 0.546552344506507 0.357492984517113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.266552194186671 0.299506407720966 0.601713968875002 0.7862847894708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.149155413090388 0.175039641361915 0.30300204168991 0.353065216773689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.218175426817985 0.214609073641075 0.577578233148149 0.35880658328955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.317497040757465 0.288184947145363 0.873338175053472 0.48652533225641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.453497739826848 0.525412580739515 1.41188590755392 1.64298733668291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.264750157752041 0.297307622195994 0.734878760789405 0.65958011067542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.323912161280223 0.286943239056572 1.20462864510472 0.497407936047439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.419556293434588 0.348578698501302 1.52814146024812 0.638440308901572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0337604365100025 0.0330731503318971 0.00387697510411074 0.00234179864472071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0299470850658804 0.034631327403546 0.0521125160207872 0.0821081920024221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.11740416821454 0.129131290362745 0.264114014238651 0.303439730482696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.228151529664523 0.242757549462147 0.487460455138708 0.481869751156205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0354061088457697 0.0343983875027632 0.00487522657038243 0.00265552036218159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0309936721486471 0.0355951586571632 0.0523981953024246 0.0826426643513914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.11857217209619 0.130077040976488 0.264672004896214 0.304019377578133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.228992149504275 0.243814283039577 0.486732657000973 0.483075180018748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0382540453900177 0.0372541325352727 0.00694348543886166 0.00352072701738576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0327004304693294 0.0374393595714261 0.0530235245073504 0.0835015213769753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.120368467115705 0.13278180527933 0.265645158968073 0.315199801980172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.230437981474831 0.24652658685178 0.48674353733686 0.494147768996349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0460471061552315 0.045832258184089 0.0115895434248761 0.00775759765642902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0369414852702386 0.0422541320264046 0.0547899224502066 0.0862154136965946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.12924547155929 0.129111669425089 0.298021813245113 0.273965627296043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.240399443464854 0.233637796322415 0.520388156224204 0.422072838203743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0899454364420038 0.0944743579693518 0.0476605771624493 0.0574908825289181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0590101928462864 0.0674672414548752 0.0690033004182213 0.113052406647634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.154494404467202 0.149107063588009 0.365918556034536 0.294412918861757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.264404046295616 0.251208314015113 0.594276538426465 0.448415038187987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.142367668717422 0.152006730038173 0.130924452421896 0.19196107206044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0826202644980521 0.091243239289596 0.10802914037742 0.143032318428503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.177370464443814 0.171091650848759 0.419158121707098 0.323776466418735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.280393983595205 0.269117619484488 0.630867217061354 0.479892692540456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0421936817205665 0.0420519993583295 0.00684455999524289 0.00619582756732645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0360372304898623 0.0396595725653701 0.0551350264999925 0.0827809821571296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.121812302827459 0.133365274312796 0.263075030920423 0.304440475283489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.231176030141613 0.246421765617839 0.485544892172413 0.481821214025008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0605151749651198 0.0655966567835947 0.0176576966826532 0.030934317693054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0480649312857989 0.0508767537067004 0.0599957097327169 0.0876690948853879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.131238935600771 0.141282907488106 0.266068106732401 0.307181782664783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.236342073588403 0.249400480200052 0.483018674536637 0.476340093554671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.100498662517299 0.105428110129393 0.0581655520410683 0.0557709016504095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0673138695083039 0.0706173285095771 0.0732378179638861 0.107618359621417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.146001958768822 0.155551472428007 0.281938601301242 0.322762389639684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.245527341635442 0.258566491702734 0.490898211621843 0.491442672795635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.29639358174157 0.282304146903208 0.68962506644574 0.35878936507949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.167362507878335 0.158891900567276 0.310698380764583 0.263812379238685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.230866510388695 0.22667971957527 0.511966669468005 0.452515762486381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.309284959624818 0.293727616288817 0.684433292652057 0.528889847135729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.579399984209965 0.56113660479844 2.89835801679466 1.93781011371991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.327347552721062 0.351999259173851 0.949138343262961 0.851398867386241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.346571591335418 0.394336128641266 0.890624532238019 0.874474330594984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.407245189172222 0.42866433738498 1.09571039643842 0.827433750523371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0346896446293015 0.0346202028767463 0.00389458610434626 0.00272771551215119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0257036391569123 0.0277341134018768 0.0339339976560457 0.0301378212255285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.103624546667946 0.114670167820131 0.197572481976245 0.207006579163358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.19094010715478 0.232073932897962 0.306429525621823 0.400475158151901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0362610068109149 0.0358050444720057 0.00442396440850512 0.00303192453069203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0269072491487596 0.0287540352882144 0.0342791930637446 0.0302983009516737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.104869506151361 0.115708741588602 0.198939571090741 0.208349466525219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.191859045376135 0.232912423936378 0.307309995574306 0.402365813523829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0396207555819815 0.0384291179988171 0.00605709168807635 0.00398882209569824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0290606920263611 0.0305104189103385 0.0350441470984059 0.0308970156461608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.106826036588476 0.11728169997922 0.200369635267299 0.210137248562223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.193174698267618 0.234343270699731 0.308544301278644 0.404874754062567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0487163921060839 0.0457690861212919 0.0125101578499735 0.00764212188158374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0344636850229409 0.03516188716505 0.0377969644520682 0.0333183889597244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.11161685360913 0.121268595625293 0.204464811386642 0.214700315064984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.196659183957545 0.23725202694117 0.311981619495795 0.409426816146327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0994306322394139 0.0903689132381842 0.0801391918828065 0.0768075766404686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0607991702150004 0.0599683875431593 0.0657915819066866 0.0645482663517735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.132028312060136 0.14088926667507 0.239458007575522 0.244867706650612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.21340114725729 0.249899792331295 0.330592374893529 0.430757810617738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.165676187165207 0.138366250148421 0.269353568062023 0.141883156644363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0976837253967467 0.0866208162393278 0.116252565670939 0.113434556246837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.154524151086976 0.172225165496635 0.245235094287776 0.345552785617878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.218653202603727 0.279253739733091 0.274275885230389 0.512769657208671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0445095684280671 0.0422627958865475 0.011539713718007 0.00596404872126002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0327126408446617 0.0323260321222197 0.0367176691626194 0.0319107770721966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.109845990328494 0.118636126101921 0.202700315790198 0.209424960405029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.195911346450677 0.234962468122026 0.309735325541005 0.403729331004346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0618627659989279 0.0574528508105026 0.0337483940537353 0.022851613063569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.04272780692858 0.0408936046775621 0.0455753686908363 0.0383857132357928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.119248417600173 0.125842007158 0.218010262205006 0.216080225448554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.202823164668773 0.241477036279661 0.319826469403484 0.411951358609659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.103880649419812 0.0956135682815925 0.144627964686832 0.122405278979974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0669244432261338 0.0633096155799989 0.0882806217506979 0.0848422631410701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.139413667329568 0.144591529498624 0.264947642707016 0.251351297011773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.217789010079059 0.25895762620669 0.347731106711747 0.445329557608197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.290103345578258 0.302060761591106 0.766816854326417 0.831585345109423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.180085648551617 0.170768658297652 0.351403171375113 0.275895507814741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.233938309399054 0.217761655071716 0.492849061863223 0.373955881634169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.303144980851667 0.310612766936107 0.526387199846372 0.547649875231991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.649700250322857 0.518671403224069 4.50366656877272 1.62653402889098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.399323913874934 0.306964021678354 1.23039942754082 0.666899523848997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.384326768482411 0.336180984294906 0.868904984627251 0.700877822971731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.402696313336581 0.423425235230486 0.754657627814315 0.829446930550251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0300914852133044 0.0138731025544067 0.00347660363486522 0.000570495803997578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0234825422918674 0.0102604464864928 0.0203961427997429 0.00343431387721908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.074138347348406 0.0308187239142455 0.10769144441938 0.0196692230061205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.120768793828899 0.0574869213089699 0.16293605818196 0.0431766911510818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0323150777202516 0.0154493725656971 0.00479124842882789 0.000817962321770844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0248706145965229 0.0110722157454407 0.0205618281438391 0.00353102916273806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0748340112532531 0.0316249658216573 0.10733961510101 0.0198632090028772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.121181710789753 0.0581748793155058 0.162544859333117 0.0434268597592937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0358677541195103 0.0191233873399444 0.00700915247353652 0.00192641908967608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0271109962541619 0.0127498693835484 0.0213397555321046 0.00389381037207022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0763051650303473 0.0329534142307536 0.107801259496519 0.0202723823835874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.122204322558583 0.0593153399228417 0.162966522438821 0.0438505720849615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0452917928537823 0.0292238483914021 0.0139439599884087 0.00905862798501633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0323429899472266 0.0171617222121858 0.0237532476469975 0.00577109254726298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0805699851370392 0.0361085109091025 0.110687501540972 0.0213954385312362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.125765349434708 0.0619790342678335 0.166063098360691 0.0449683074485989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.095977873852933 0.0789656195189795 0.0705546113179808 0.119124141705004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0575378072043219 0.0396842670246727 0.0419922263398873 0.0308565182142328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.101217683613294 0.0524309141604921 0.135409974110247 0.0353368004905278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.146984996025185 0.0760724812363173 0.195129185704731 0.0558152959407888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.152663301266442 0.136171963728185 0.210253953426717 0.264499293627739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0859363474550298 0.0659251542730925 0.0831525888752625 0.0699460881702556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.130390773683984 0.0724603840464067 0.224072189829561 0.073417182761053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.173564607921286 0.0937762439769708 0.24600075052414 0.0825687319700632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0418739058522718 0.0251399395496838 0.0110139323877812 0.00628550978419434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0306276559089658 0.0169575377002839 0.0234366420603599 0.00729102951899426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0783825747537642 0.0349866504953586 0.110501091715307 0.0208365919253839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.12312488525147 0.0608373935454122 0.16354622070216 0.0441773980400076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0643489738276429 0.0434258619894521 0.0810316404064491 0.0263431912351737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0411992816402779 0.0266951021345813 0.0324623670575805 0.0225453423660074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0871452753551065 0.0412839957634981 0.124955518521817 0.0255177431675607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.13222354381743 0.0659733635592679 0.185797564295349 0.0469352843103414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.109797134420583 0.0824142480489754 0.197143360335532 0.0891044133493924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0613916109172118 0.0462400275298686 0.0521343427996783 0.0528315256618147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.105113337027335 0.0543871153501505 0.153050606552471 0.0379282735459872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.146019114662171 0.0771796784061536 0.198737560920563 0.0555969919643458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.311361558762646 0.261593458222154 0.755614162334081 0.521505531292744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.177281364303794 0.144212992310963 0.265008298380742 0.285158797642376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.194132554166425 0.128375705851258 0.319236790920314 0.174889963237737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.22370772013839 0.141029987035415 0.33309078410335 0.163095589120688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.699430493634579 0.50887356198129 4.85232946894952 1.21727703395327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.451362479286013 0.272816989699563 1.53280867194235 0.532824109079503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.440883346817038 0.231738935553063 1.17284132216079 0.363950928822006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.42292391726353 0.235181964067754 0.945449948181702 0.329743078032139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0254365227478124 0.0304824895064535 0.00261420593277706 0.00330235870650502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.00917948890376186 0.00893607593042063 0.000227066603323566 0.000222243052001638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.00384784322955611 0.00463968612615562 3.9743099379548E-05 5.94712117346339E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.00372202192757763 0.00336841469842819 4.0486521607307E-05 3.20878531247668E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0435973553858786 0.0560622518402673 0.00759650965422822 0.00975992830792393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0139192039378102 0.0182254125747087 0.000565239341414364 0.000902495228255549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00761044980441878 0.010464858561609 0.000157994443700852 0.000296468999999178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00556423648261013 0.00710359223165269 8.94847770009873E-05 0.000133513017038219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0797516207256938 0.0991194201518716 0.024270065846396 0.0253722614100065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0237133764858323 0.033208195471603 0.00165668828004976 0.00281952303016581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0137435181470697 0.0194280894305048 0.000522408154837111 0.000980015067019806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0092463134499171 0.0129090096556199 0.000238476069265292 0.00042859501750156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.161851356623103 0.185218907410495 0.102382683389307 0.0714006583891941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.04575768103897 0.0638071013446883 0.00650803639465102 0.00957488422921044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0267453080620031 0.0379111394747296 0.00206398151412704 0.00354580247954122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0173526482828391 0.0250132978990788 0.000844104719405643 0.00156202647916625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.533051356439873 0.549124127057388 1.17415028888526 0.451821666922238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.147586611718135 0.179715862355167 0.0799686630140686 0.0596576121159355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0817434867493014 0.108881564372328 0.0225421063965703 0.0250381128359203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.051721752598675 0.0724681246504153 0.00830755128920999 0.0118379065473294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.919020538723436 0.931801716921215 3.53453001469627 1.17075290524363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.26296938374782 0.295826480742167 0.269536928106382 0.139627727442081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.142547303905942 0.175867326761292 0.0748796646360161 0.0575010421685406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0884895995571724 0.11725783973432 0.0264984282938815 0.0281941492301616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.130892826780608 0.152009637720252 0.0662506453221792 0.0512305029146261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0375363030395803 0.0519942002419396 0.00429200215552672 0.00654385257309388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0220819890949233 0.0308898352252273 0.00137805427498122 0.00237643043997753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0143631734816769 0.0204659805896059 0.000577807565064898 0.00105964333425446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.275079412298424 0.294457501920039 0.304614780243623 0.152809793227263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0760022044343627 0.100182749493938 0.0192896166905168 0.0215590632786906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0438679507553376 0.0605766222805829 0.00584360120386518 0.00851759760820392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0281127997623778 0.0401931581723267 0.0022937500283699 0.00390812400443268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.582196634398685 0.59639384933851 1.40490498877358 0.516939633102348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.162232705278449 0.192966316374956 0.0978184844859486 0.0669068349302662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.08979297823799 0.117261276400032 0.0274758433622677 0.0281832160107437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0568679768034888 0.0783340436470611 0.0102254579906398 0.0136428111493498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.84506652555842 1.86995483996502 14.3943351389313 4.21296137811828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.554663752505156 0.587662601718151 1.2556260931359 0.465524141343181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.301607019848528 0.336867194903601 0.36064239878598 0.174476141867866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.186351276706094 0.219175857058663 0.13123041673584 0.0833808855176304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.14018885534841 3.20137445209711 41.6408701928945 11.462602161188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.967445051169191 1.02206894079439 3.90465303567531 1.25808460695941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.523534309563693 0.567966512575439 1.12656780091061 0.440787479563746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.32569775143933 0.360166669155988 0.422442292810468 0.201750424553359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.00962580349593518 0.00978379670900727 0.000267715046664053 0.000152143454603548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.00374753199662062 0.00316827947844629 4.00208886727164E-05 2.11688650532929E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.00209712371761899 0.00186232856049025 1.26395083244414E-05 8.98153602001563E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.00167593554879895 0.00152279077900047 1.12841020231837E-05 1.14952417083317E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0370535232091712 0.0328566450551374 0.00397111247887841 0.00247975458557888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0116309869144802 0.010855779253379 0.000380641676420037 0.000295508284020619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00621431151354378 0.00572138541068097 0.000103363982447716 8.35299675295287E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00425645283756648 0.00396174400378333 4.82379698239404E-05 4.51495406356121E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0722769004226886 0.0640840973069969 0.0152808278781242 0.00950697321565654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0224630119424389 0.0211292577783842 0.00139696375122967 0.00112108837087489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0119073262216186 0.0109478082154447 0.000376920197305488 0.000306611946188049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00782789532638868 0.00724894319490307 0.000159579894809388 0.000139935417060511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.142635327672649 0.128236126109435 0.0628554725868868 0.0368194640189544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0445152641957733 0.0419678687650297 0.00552621487386106 0.00435501314776839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.023574152456883 0.0216594922385438 0.00148475766076577 0.0011940900755396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0152387077497212 0.0140179779586617 0.000610772319117316 0.000510699209448566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.414122523658081 0.392697481738668 0.644859980102732 0.306425877533558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.132638948021152 0.126077418556689 0.0530982986929958 0.0366449432601999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0702818301030549 0.0647099494430454 0.0137305293882565 0.0102902086266525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0452972994872423 0.0414807109626135 0.00555435415255522 0.00435584503993393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.6815101163901 0.662401054164151 1.94251819652808 0.804109461579106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.218512388441786 0.210064812231554 0.15583945933285 0.095921176353546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.116052286058911 0.10754242084657 0.0390467943955337 0.0274023204501656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0751417435872608 0.0690170744834579 0.0156627946883916 0.0118134952718207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.117202455818359 0.105187070603016 0.0418137357867871 0.0254383730183235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0368530727644424 0.0346970616797553 0.00375557575644244 0.00301167248333272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0191659414808301 0.0177102544948413 0.000968933237375507 0.000797753558913396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0126311362810223 0.011621813194197 0.000408725686272807 0.000352582514387703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.231075024032651 0.212286071727949 0.178547521857051 0.0980697397589222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0733566817988789 0.0693348961129078 0.0153228236721569 0.0116917456029234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.038022542785369 0.0353488070948434 0.00386928355430416 0.003138040959641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0248005649408319 0.0229822427609451 0.00159293503435566 0.00135780170330022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.452615633812117 0.430236017744206 0.789912992989168 0.369915032997654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.145829978707077 0.139025113827243 0.0649564684217528 0.0444916897951476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0754530355892855 0.0705743966560527 0.0157377027512166 0.0121249735242044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0491437928452466 0.0458575271990792 0.00639175909557953 0.00530426697482397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.36884121405138 1.34497059087652 8.5067623225085 2.93779218118854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.417541498861252 0.405790007901938 0.658522320082387 0.320326047264164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.21783812771713 0.208557241887313 0.151081416321727 0.0941289213689813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.142584773272139 0.136323026796991 0.0586657645122627 0.0434482170134468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.33286288140466 2.30823735648234 24.8044115974645 7.36367256822563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.687244925781717 0.673517378680706 1.97126439764332 0.748241959467847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.347240434541544 0.341700298953922 0.441168890729377 0.22267166363201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.223975583017836 0.221590276666168 0.162314697027774 0.105462821361741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0145774207742752 0.0056373947589045 0.000730235070178563 0.000137026437168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.00388684914597776 0.00267731599454713 5.40374948553622E-05 2.74765178881022E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.00212183556596011 0.00144511253081914 1.59211304081171E-05 7.23069542583086E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.00144912169899443 0.000991403377392566 7.98820686667434E-06 3.34899979298269E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0416513180093854 0.0384467708334168 0.00537636174216376 0.00388124425593454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0130550948802195 0.0126886573446118 0.00051427740839011 0.000454208950481883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00711861418889496 0.00691391368836438 0.000148383524437213 0.000130860721630983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00466150637321591 0.00456912778880886 6.36760531066418E-05 5.70886743073526E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0794879199525582 0.0760159208496253 0.0198980425330974 0.0135346390024318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0253529990907104 0.024986686433035 0.00185930504688182 0.0016353286801605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0137918967384882 0.0135777461976131 0.000533141518868548 0.000483380377751362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00895359058926261 0.00893078769429055 0.00022293872245849 0.000210808635185877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.157452031034742 0.151165349819753 0.0846499503000122 0.0461566666381633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.050367066559736 0.049535821032418 0.00737635221691991 0.00599546208955568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.027371837882347 0.0269934166832566 0.00208119613879511 0.00183777170381349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0176999135641857 0.0177189297535591 0.000856435811118521 0.000807373193839698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.491403790879803 0.476243352174742 0.948734122890968 0.337909099753462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.151057903765568 0.145354815771948 0.0742769858515816 0.043052443147397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0819632772667288 0.0798362158425227 0.0198711267134444 0.0145089673809345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0529271683212592 0.0524994689308664 0.0079162766841086 0.00664726885533841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.842381639403777 0.826083768368928 2.89664401861286 0.89476980080597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.253347305755192 0.244537718517866 0.226343604238854 0.106256037737967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.136356420467464 0.13161277770623 0.0589110579284823 0.035982604230727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0879950560977721 0.0862377687672984 0.0229457071257883 0.0168997169593582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.129077570612415 0.122708968625185 0.0552387854905382 0.0319946437849343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0413257909651124 0.0404820343574126 0.00493903906954596 0.00411199985642764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0224363575148853 0.0218622608944198 0.00139684785279074 0.00122547983232938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0145636759130977 0.0144816042063465 0.000582874697468736 0.000539289926332019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.260834547104826 0.248634493528772 0.248819786098096 0.109856007082303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0825676003785026 0.0798295526831831 0.0205558214334612 0.0146521746706894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0447437302734576 0.0434743742361365 0.00563986909874446 0.00462442303197357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0290176406000916 0.0288406348803388 0.00232169157228837 0.00207180958577975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.53793439484287 0.520086993913325 1.1463106330952 0.396174003639896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.165596379164776 0.157309184911883 0.0906476579640448 0.0495409336840049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0893207198715423 0.0858277473887269 0.0238064724176703 0.0166190854497398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0579510790256468 0.0571819882071337 0.00958263590662012 0.00773664636027338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.66686529658835 1.66406657021759 11.624709592919 3.1859421653831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.507457119969159 0.500183749648486 0.996151895383377 0.361316679332405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.266825723060704 0.257417345985802 0.251104412617189 0.115213613058574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.172216089044326 0.167222295822389 0.0970713395157414 0.0545356100428338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.76908680337456 2.78492188220377 31.9805298901201 8.20027177976011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.855246543382351 0.869992165020864 2.94082378336021 0.940026359619699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.443235913692123 0.446729210567199 0.745056971567493 0.290624951977756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.283602095915241 0.285409994805248 0.286567719455001 0.133823958871349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0705869369618299 0.0620144650625295 0.0180616858957598 0.000615760192860391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0291513689633354 0.0178302945143402 0.00109946451257924 0.00116262458535964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0119630042862813 0.00787785659535591 0.000429750140265048 5.62297268376258E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0113903801502678 0.00663293445590808 0.000187300817636681 0.000165525126706024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.074372577433221 0.0707608943083448 0.0212800652491578 0.00393917910016895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0314476396813449 0.024331797346143 0.0014919825964882 0.00206131582520822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0132282546107745 0.0113992317279586 0.000553869427228235 0.000212399499199371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0121722063639517 0.00875941806661269 0.000229431157128037 0.000272840659848215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0960457650367236 0.104402006721898 0.0341462699491148 0.0153651304654355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0391090109133427 0.0388111282488042 0.00277120795418088 0.00473635159075996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0179019233416895 0.0191135194448976 0.000986475379532241 0.000740877071550171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0146738456860597 0.0135087117535642 0.000370858331992255 0.000587493153880516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.16037408751986 0.188242900778082 0.0854978838233268 0.0671160078722415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0625172261901919 0.0721197363759035 0.00835798691561195 0.0148920038271807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0305714821849298 0.0362475600675328 0.00269921699757336 0.00299898134274588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0222629533468568 0.0246881916682185 0.000987623537021258 0.00178190454432062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.452563936564365 0.543037107287905 0.621930655564947 0.643829335485952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.171556432926593 0.210606750118136 0.0736090991851381 0.11522246368682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0866940315906266 0.106873321847524 0.0204170528265594 0.0280752595329959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0591703396210757 0.0718587139075787 0.00824249668866466 0.013882179595184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.752647312552633 0.892022748938946 1.75637818860905 1.70825552458826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.282617656078924 0.348183094221793 0.210084048796088 0.303268408222249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.143696483810971 0.177691846996181 0.0556722166183966 0.0784187862916592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0973070350293087 0.119028910657684 0.0232294874464825 0.0374003796495659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.136401557426791 0.156687124239975 0.0637382290131984 0.0438937313265301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0534183160842014 0.0604837660862005 0.00586868030100941 0.0108046497399824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0260095929881115 0.0302121605806092 0.00198813022515822 0.00202622460856175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0195487359081234 0.0206277412200244 0.000734935029872716 0.00126899348974818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.252468565907455 0.300265887283254 0.199647261779783 0.189353986523036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0963231858893969 0.117567201066985 0.0216727039637509 0.0379842444060415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0487312261093456 0.0592304437531986 0.00660079118144543 0.0083571385751855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0340343472765223 0.0399291699965956 0.00253456238775543 0.00442116059330363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.495398186466546 0.590476941700698 0.748024562894314 0.765164725528774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.186581388237698 0.232023322390722 0.0882907074218781 0.140357390070645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0957563947230046 0.117844218911286 0.0247663510454531 0.0341200869703743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0652008463818322 0.0791294877275438 0.0100921771611661 0.0166749205119008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.50270759038788 1.69649995386245 7.72507733572017 5.5693603689121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.546488601697734 0.668973271231677 0.85439421615572 1.064202249352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.284481850340064 0.350678542703894 0.219442235029725 0.303185743548675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.190492792673001 0.233295155565917 0.0916727811054582 0.140918153653528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.61537441760102 2.82315326440821 25.3123906000511 13.3089126832767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.892009808884362 1.05880461837647 2.48973725307791 2.46922461650521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.469075738712576 0.574657665811167 0.61575175681643 0.796318585406825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.309031468407648 0.378056126150928 0.246173687615647 0.367277473881942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0264539206743076 0.00933722327178843 0.00230729740916845 0.000341808508640628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00816851422634072 0.00333157115274342 0.000199823339082421 3.04587596380407E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.00445484907692119 0.0018044337133815 5.72363222786155E-05 8.1455153666027E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.00337432033363545 0.00154190046482029 4.73541144791981E-05 9.83884950047341E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0411645957766589 0.0468221616985272 0.00552404031407319 0.00607341936052682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0128079599053243 0.0137842442129765 0.000496567474494124 0.000500981609013353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00689320502739399 0.00724594355295528 0.000135121501678123 0.000134014855626756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00502858487574064 0.00500561129240716 8.17152223050183E-05 6.95223354578241E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0703583968446269 0.0919252600877244 0.0155064834313206 0.0219512792482349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0219216122534562 0.0269599144690488 0.00139286505810485 0.00188866378434925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0116956294965851 0.0141010447781006 0.000372553358704556 0.000512449324211696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00812032871218025 0.00946188639271683 0.000181604546985355 0.000240214511142948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.135719539248122 0.181475285461233 0.0584544700332991 0.080002649595122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0418856382988841 0.0535872338525487 0.00496619264094616 0.00733773454776018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0221599928823304 0.0279865628462993 0.0013194224693244 0.00202167437677576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0148328752147065 0.0185563070490539 0.000576229682848711 0.000914055568763425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.422270543417917 0.518698653485936 0.664065365642219 0.561649437736097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.124743154421943 0.159674139739543 0.0457583022826526 0.0617790146392528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.065383708538005 0.0836950237598232 0.0116807335152042 0.0177677041181149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0426846132495793 0.0552046172085009 0.0048333940352176 0.00798565298713139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.72526272673837 0.830985443832081 2.14273669318162 1.31749961587659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.209455602113978 0.26295940631725 0.136811179272945 0.159604259673069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.109006305350501 0.139297971198017 0.0333861825101568 0.0481119255628615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0708842480083532 0.0916815016720855 0.0135612138772667 0.0217863002071502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.111856561332774 0.150706966390613 0.0392573815100327 0.0565091488800822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0345639326081518 0.0442693048815341 0.00340163985256048 0.00503252292102002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0181476413397765 0.0231203701171581 0.000890068597876541 0.00136193439853692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0122408440570565 0.0151075102604499 0.000392432066851818 0.00059175502582731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.224633380166928 0.295487253253778 0.169465889573062 0.200853613684117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0679848819175225 0.0882487911948075 0.013185320939414 0.0195367540881374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0355579849255486 0.0461296028806643 0.00342606005546435 0.00539573422057926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0235411972138346 0.0300710697561238 0.00145776324462308 0.00232839736155622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.464511177692757 0.566963977414254 0.819804351540035 0.667966739658546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.136344440553696 0.175594952681529 0.0554226140337807 0.074191518322073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0708672006589848 0.0921357774195902 0.0138872591213441 0.021169051722549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0465740681727412 0.0600389130444591 0.00581445550067254 0.00918799551969835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.47429538127756 1.57803646527758 9.55196425028228 4.21015466567081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.413755701423655 0.498632462966486 0.609133936714427 0.516208350651964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.213044928533834 0.270412563484912 0.139260749155426 0.168808119093968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.138580397172372 0.177397587941223 0.054875995656192 0.0768338077366902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.49555817240483 2.58058989102172 27.6160405387644 9.69678479419199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.69417927944156 0.789996315356899 1.89682222648473 1.13403700550148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.352210125426355 0.429886980658649 0.424958506596441 0.393763555692998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.227702310366917 0.28405307235544 0.159983912817659 0.187425580005418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0470159376826084 0.0243727836603628 0.00560489782925987 0.000586648531972676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0135295853895804 0.00734832387801931 0.000502171263069085 7.95430629580821E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00747330035667223 0.00367141244200293 0.000141822674764032 2.43642702284164E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.00494541280146718 0.00226446453609704 6.55587557359524E-05 9.50649480388523E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0541527147824253 0.0528274873734355 0.00804902090955094 0.00541565599752999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0171367700874345 0.0180464634317915 0.000840937036135108 0.000723860908060912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0093827531301565 0.0097657366247683 0.000237794754131971 0.000227679128210706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00620480472309713 0.00634091131936281 0.000103117060720771 9.41358744919839E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0760064631096413 0.0979150213772691 0.0161657642490822 0.0211952543992071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0260428281643138 0.034089586472111 0.00190602655228856 0.00277001321485717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.014195440669172 0.018664874213751 0.000543732325164805 0.000861119608361805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00934856586953664 0.0121175779076621 0.000226507773172527 0.00035898119279075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.133184805338003 0.191414842998766 0.0498033310052689 0.0852258067280624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0473151832188812 0.0671363225206134 0.00614639962410365 0.0110907167799812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0257594154447086 0.0368893290857839 0.00177169280648653 0.00341791657204103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0167890784202668 0.0239438208644857 0.000727446464054329 0.00143299073172545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.3879718843433 0.552263030244962 0.462602421194422 0.672640180419594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.137547918015689 0.199629418768197 0.052218017769493 0.0981115495000571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0748628931361534 0.110125410715677 0.0150148972850948 0.0305164829262197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0485109425429974 0.0715389518889441 0.00617352963925091 0.0129260160159912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.672798992690152 0.884580017452838 1.5233435791411 1.56128228127327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.228971216547374 0.329747659495204 0.148867306640173 0.261502089210904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.124408274199362 0.182973924209791 0.0420351306702367 0.0834189923370688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0805678110799495 0.118987580467991 0.0172193007809143 0.0356857186660769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.112484594146377 0.158217855234929 0.0354864055324772 0.0577368663779395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0399384577854149 0.0550521508871207 0.00439014121980558 0.00741224896351251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0217591709496784 0.0303735053151037 0.00126505568160536 0.00231868872256276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0141771467769845 0.0199064722530153 0.000516224007499807 0.000994767003887996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.213813300289548 0.311771151305124 0.131038191483045 0.225911861020538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0769611677061269 0.109386245914013 0.0161172038312494 0.0296338787268668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0418669546279388 0.0604460480961842 0.00466509778450336 0.00924757256816009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0271671757005955 0.0396239863100538 0.00190554268452788 0.00398631302768344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.429166485672641 0.602508351743749 0.573123487560159 0.789341362311949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.152480885344123 0.21763491923992 0.0641858446514358 0.116194575442998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0829006870701147 0.120564057570591 0.0184266769378674 0.0366367372549164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.053718962931072 0.0791017649083738 0.00753398842430482 0.0159176260282491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.46038270816354 1.69272780051086 7.96966521816713 4.7092776110139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.460059214075345 0.622921958366225 0.656568141371195 0.855888233518378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.246964804234618 0.354640925196945 0.172545837917013 0.303933027201644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.15959617893124 0.234472606978474 0.0688055406029227 0.13714595418559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.62466643813511 2.85094129341478 26.8144261913116 11.3630809988132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.79045184275986 0.990877394157591 2.14848851252475 1.90410788329836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.408682831689044 0.568634780190077 0.50874986966086 0.734313042649638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.262241037076865 0.381079462093115 0.19343161663136 0.351972538722935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0231189720365115 0.0555167189930434 0.00210935542362449 6.86415756256962E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0115726147039375 0.0261425926543322 0.00022961125587357 0.00269653097842624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00385604376520578 0.0107795461780361 4.73046279184555E-05 8.31762204051395E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.00281941458453649 0.00949085161676167 2.30676468551712E-05 0.000363515386119258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0501621101200822 0.0611336128821502 0.00861762566383911 0.00219529398598629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0212496561999341 0.0284921302324136 0.00102932616104441 0.00321862423929962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00999263097448405 0.0118646561284154 0.000289557716463832 0.000165001351973006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00669354019268563 0.0103312849646438 0.000123043522896175 0.000426697762516146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0942317007038072 0.0872813490402723 0.0271410177721567 0.00936247327187736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0384082682819286 0.0363394825312327 0.00359100704695266 0.00493840528277576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0190352967632371 0.0165670983521842 0.000994575612189561 0.000449144302006617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0125261479235923 0.0129950315038609 0.000417851459119853 0.000631294265500023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.185083828447708 0.15494406934081 0.0986091063945521 0.0421340367747239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0746802386060558 0.0595651655334948 0.0141466641706659 0.011590364895456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0375860734682764 0.0289620823085669 0.00376644469757001 0.00170782303075518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0246093499778977 0.0208056851294498 0.00158531992930726 0.00142311761866443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.544985957569285 0.448446904926804 0.863514681710632 0.407267804465131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.220420750939658 0.165786361274312 0.130097651373386 0.0739650916010205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.112188788369895 0.0830300000776753 0.0331914095547641 0.0161224749760909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0734212156397256 0.0570659884435007 0.0140161107805286 0.00914490810661099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.885216661968536 0.750271065669765 2.42432887465015 1.0779106650071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.36129903751973 0.273731292586232 0.362574302603492 0.186609490992068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.186453300936485 0.137828455646946 0.0923408864762844 0.0450917465254349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.122179143432332 0.0942522188489049 0.0389352885444126 0.0238554559127124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.153901529745363 0.128186761242807 0.0693437031880508 0.0267267221633072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0617443019389007 0.050654573595412 0.00959315325683986 0.00877250040999668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0310748525689505 0.0242954918046978 0.00259385051537971 0.0011332250616719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0203459446410409 0.0178286118302449 0.00109336259429292 0.00106858972774741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.304901270065062 0.24419594622083 0.265704653242861 0.11685500311302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.121971923860882 0.0929036015695896 0.0387074697427175 0.0257116905004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0618514966291814 0.0459814380093561 0.0101215430283435 0.00465298730168169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0404104230754506 0.0322062571952607 0.00427598056789874 0.00309060152773484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.598959418539497 0.484656315734437 1.05568469730656 0.47311498682968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.241112752201003 0.181003640379605 0.156784491952019 0.0872449303673815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.123415529854607 0.0906428789288945 0.0402828866572858 0.0191720520470322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0806420312030098 0.0626409180611432 0.017010679508556 0.0107733969196486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.70554215844093 1.53335959070648 10.2450484017803 3.77992949626665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.6851572102258 0.533729427843 1.40909446033748 0.620950051547508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.365069623704599 0.270340158013531 0.366119418621402 0.169765984290978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.239012198832794 0.184457850714054 0.152203875945373 0.0861649043876688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.90071450810608 2.71678959078978 31.6803550636899 10.2014532220711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.08385889629888 0.887182609924977 3.89875955137889 1.47549532681179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.595469897137472 0.447386143406261 1.02889487356418 0.441762963756042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.386862231250204 0.29955549525258 0.412395000247252 0.219014036380757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0649302100001093 0.0849399180789054 0.0172606362212287 0.000422614017648734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00935748632997063 0.0100334057106039 0.000371327568319796 0.000125663445544749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.00736287310845301 0.0112682694463919 4.5143719383069E-05 0.000495987618390297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.00426950393682842 0.00851921163386014 5.90661557181282E-05 0.000115364725304585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0763724079527429 0.0873694983016687 0.0241164642334697 0.00281017886919457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0200668214099165 0.0176498959844272 0.00138730985374139 0.000527521457206988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0123109968232305 0.0136355297493415 0.000243993267835742 0.000677698058434616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00742773477629941 0.00930537017997215 0.000169258179812831 0.000160191424673659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.112451436856884 0.107116486466577 0.0469855885985368 0.0104029543158697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0371343790236486 0.0300293106086323 0.00420781984575812 0.00184337654645924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0213534460168264 0.018795129099599 0.000923223561175808 0.00118629431404262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0131497437939657 0.0124131228580154 0.000493212138513305 0.000317495371628132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.202370399722165 0.173021629702047 0.133482131849491 0.0453493317189009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0727151119520132 0.0570643291566764 0.0149656316344609 0.00739739149361294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0409702707563104 0.032163611663683 0.00385002830114468 0.00312052315600616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0253881655458837 0.0209001538688925 0.00175143103093396 0.000986551411375663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.582410006672643 0.48121508767572 1.01190733087589 0.459458829444741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.216515601529824 0.168436549133755 0.127314544012068 0.0677629185300633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.121282879948815 0.091518072671306 0.036864748490902 0.0223725466349594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0753218716002322 0.058878758681764 0.0149103315614782 0.0084662434673723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.953583068717601 0.800303361453756 2.77216801015002 1.25578274087856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.359594274616229 0.280328408066074 0.353346329823077 0.185861241054539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.201046078136523 0.15207963171566 0.103835201534204 0.0594971622016757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.125413790152268 0.0976841073461715 0.0411203353950868 0.0236224731088987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.168250299773051 0.147748974807809 0.0958558387720455 0.0297603120744716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0596517597309383 0.0468401832213392 0.0102812658595122 0.00489588484982911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0335341568604351 0.027092961438259 0.00250542372048096 0.00228989137694274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0208363439605894 0.0178979479280918 0.00119861278191046 0.000707392869679339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.32201982213555 0.269130282517956 0.319491829346281 0.132028920089901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.118307277556339 0.0917502506352321 0.0386553886807106 0.0199203148373045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0659579803425838 0.0506285194507845 0.0104841894130396 0.00729827852618109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0410964762814145 0.0332064721670363 0.00452303101261818 0.0026115324764788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.631700077100228 0.526434198818967 1.1971474316113 0.554223061155854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.235737988827113 0.182460946944323 0.151492596022336 0.0798757282504048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.131156105088647 0.0993953013603877 0.0433049447339723 0.0264403910712621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0818722945252861 0.0650817808307167 0.0176921925904316 0.0103996595332777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.80044107879711 1.61106926803494 10.9735658418182 4.48422859891838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.692564850066207 0.544591317057203 1.37072518859249 0.666483023547807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.38464604778822 0.294629898235091 0.393673959096682 0.214532531946703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.244253894497585 0.194081833222184 0.156917097138595 0.0936410823972127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.99122257830507 2.81276378862957 32.7485251445131 11.7116345866522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.11365119603346 0.904530879934394 3.84070346421499 1.66286397884128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.6186775475003 0.482364609364522 1.06680841747596 0.543111027940877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.400495916437817 0.320328849095149 0.426239081763296 0.251598305307658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0883501879124296 0.0745257295651197 0.0303652155540256 0.00128985414285655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0217284373924773 0.0133038611015415 0.000735742665766252 0.000483522115856354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0151851540344698 0.00893760508945451 0.000668444362678873 0.000108475947081047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.00670597010378769 0.00396413320180145 0.000118029164529866 4.60591246665984E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0904288291126298 0.0817623314913597 0.0334346992927657 0.00464107531662473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0251038952689335 0.021487913465708 0.00116615984299812 0.00128784367798745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0161970241823896 0.0124675915841769 0.00080031715078784 0.000289134733152647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0082564161283233 0.00720425100484416 0.000177222192113025 0.000144789507731196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.107913142670447 0.111427292513867 0.0468698308289637 0.0158589027778485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0348647673092082 0.0370225431136486 0.00257982565894226 0.00370507739924584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0203390622248713 0.0201812636374182 0.00126495383903873 0.000878495501856153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0119460621983432 0.0126942060797378 0.000358693663966613 0.00043360185736732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.169796585746479 0.192749738147481 0.10314626374447 0.0669524016044219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0604951971137854 0.070883834678693 0.00857317042661275 0.0132037168472993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0330117815854707 0.037742688074895 0.00315637243081764 0.00335282299314228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0208509520646156 0.0244271335344426 0.00108527014818572 0.00157134379013239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.466411782022922 0.54888893219235 0.675389032590133 0.651771411035281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.17271651965359 0.20972957809448 0.0763941374470107 0.111608746522027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0914713971477867 0.11072469800396 0.0226886240732226 0.0305269865815331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.05923510518122 0.0722845038560963 0.0088571517559452 0.0135722480167726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.771275025560487 0.901874638778876 1.84707570912727 1.74965646070088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.286586042795535 0.348452962351624 0.217495740171573 0.301765856114541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.151063128063769 0.183737474169975 0.0612046445898806 0.0846429833636039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.098209491823029 0.120225320365067 0.0244236580063465 0.0374742097330055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.147415937782711 0.162077453723159 0.0806549041799421 0.0440689728791472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0511737341271842 0.0592352975874923 0.00602302906973155 0.00929874606426757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0285159599586327 0.031536249479182 0.00240542740011763 0.00229308638716024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0176611673193855 0.0201609487567874 0.00078772437465477 0.00107066682119458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.265239424441129 0.304597777847627 0.232029898899933 0.189458321342821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0966860683650313 0.116457587321994 0.0230068448167783 0.0351438564324758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0521902899371433 0.0614287707064801 0.00762541950987835 0.00917705837167934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0333530366497276 0.0397383587470864 0.0028351684905311 0.00410989144567361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.515791845080135 0.596702156606442 0.827899077769939 0.774612952673492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.190556277901809 0.231661384216793 0.0937139360951097 0.136048525558876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.101748734971666 0.12177695566982 0.0280837100704675 0.0369271847097906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0656775218419751 0.0791728094181999 0.0110772041992455 0.0162197801232798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.54377033763093 1.71515704040424 8.02605022950506 5.726175538511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.567542427461846 0.683713552275833 0.911068399187382 1.10825275732371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.299042657807576 0.35925089360177 0.24122816326052 0.321102138649427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.195698759190956 0.236163703662795 0.0987122975414953 0.143806293480489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.65588933679598 2.84665062166102 25.6710529190281 13.5958065822247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.933278107662008 1.10070364876528 2.68392728767436 2.67661823729194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.486367961939989 0.581685327620537 0.651348825117627 0.823347911459481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.323520338871296 0.388768293853933 0.270022871555998 0.387124964576948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.025686518524533 0.00371956297802944 0.00121909130046512 1.06583611829658E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0114140731436293 0.00100828744925721 0.000499482122245469 1.78840917307908E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00835247362468344 0.000486856694367472 0.000230742309178542 5.71440333796294E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.00586647940665591 0.000329417115695002 0.000102015896614385 3.01773265731424E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0510270373523367 0.0342089414023494 0.00622428966189749 0.00275440603717466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0182826225352457 0.0117244111099984 0.00117034424840618 0.000343299646346119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0108808372309363 0.0062873690871211 0.000402688262199877 0.000100998088842554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00747207090690475 0.00410571821790194 0.00016827643664636 4.31646827462365E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0935810637107556 0.0681387589563473 0.0220731329545452 0.0111877709828403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.031281011566053 0.0233884652079272 0.00308759541456543 0.00137488552639628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0175064191900244 0.0125474752940769 0.000955652790345164 0.000401696535715184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116168677053471 0.00818926467258582 0.000385251511034882 0.000170810407746394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.182184372598049 0.136181368244244 0.0873644187977012 0.0441518013762798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0597043183384973 0.0467578311182521 0.0104070468603215 0.00546779236325921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0327005800891733 0.0250811333767768 0.00308413896616878 0.001597010778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0213133995046618 0.0163642888421807 0.00124505469247058 0.000678380430997818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.519108736277889 0.409289265520585 0.801054130551912 0.34542759417499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.175946892234389 0.140452291778147 0.086947992938614 0.0474115536178034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0959890083342968 0.0752521039526841 0.0252079412663657 0.0140483834866709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0622671170154491 0.0490765404644672 0.0103649483685722 0.00600143500753512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.828471801222402 0.703427057229077 2.29142349318546 0.865393578832791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.290474639208953 0.234653311362671 0.241233351246953 0.126417037708706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.15933348990366 0.125586371302088 0.069527727980313 0.0381665582887411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.103485727794577 0.0818592318154635 0.0286605627396598 0.0164434638618109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.151491070108437 0.11260164591614 0.0598098730626525 0.0303860709157221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0501024803500914 0.0383235090894746 0.00742960921329533 0.00369759743029135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0273549466500783 0.0206815094511264 0.00218988495554336 0.00108876872364346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0180832952685956 0.0134430420937717 0.000893895780330545 0.000462088189796258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.297128190951513 0.225257563161349 0.241982097998069 0.116342952868675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0982683385923232 0.0766266757513124 0.0273079031860302 0.0145748289947242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0531831822731574 0.0413555821207796 0.00785424645141562 0.00431330839525357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0348236796818828 0.0268872875245131 0.00322386037727977 0.00183553359130066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.566094956203103 0.453794988686476 0.975292262615218 0.411894784208571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.194887089515703 0.153382727149123 0.106734426786971 0.0564452543430791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.105415303441242 0.0827350215831998 0.0302611883703447 0.0169229428950155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0688385298983119 0.0537811612872865 0.0124751822974922 0.00725655134879624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.62871257438875 1.53718300124233 10.1140967140921 3.26924343949052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.558204168086171 0.469675626621312 0.966687485053606 0.440531608515558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.310273418878369 0.250872596420381 0.270555434968817 0.141901852944649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.203248095041729 0.162386740186116 0.110603417467136 0.0626154166134786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.77956078257466 2.74135211834162 30.8257490723162 9.01290693216982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.895004403421294 0.821323746898274 2.77097704625238 1.11764886920204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.496622416717231 0.428223782484529 0.740071211184462 0.366379172907763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.329321187112092 0.276301734106653 0.299976544581194 0.167982399746353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0378253050327322 0.0227869633677645 0.00569690210964084 0.00182890507829782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.00797070768140618 0.00579616274038656 0.000180812904588015 0.000130906488024253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.00430289409808151 0.00267605074806987 5.47820861261671E-05 1.88602114244615E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.00295900950940546 0.00216071236563223 2.46975788026038E-05 1.56709732152227E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0574895972805853 0.0497214174511456 0.0132192547337699 0.00741607094009243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0176641179098266 0.0159159523597177 0.000899870246853268 0.000783647003232876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00978558711785805 0.00924748299369996 0.000278229632149869 0.000224108163600999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00641545353525945 0.00600297643488424 0.000114280724088656 0.000104482079092083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.100472021519194 0.0931706269347762 0.0376865319000902 0.0213522441138308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0328626460703821 0.0304454325347503 0.00309165942512983 0.0025204236362148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0183361430439661 0.0179954520608769 0.000949521944712828 0.000815875663098202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0118707703407022 0.0114990493109444 0.000383565103248128 0.00035501793277863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.195253757354797 0.182979672372915 0.14224221340505 0.0651904529248879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0639244662703891 0.0597533653579737 0.0121936034380339 0.00846678306159068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0359472077958138 0.0356152623958302 0.00369215282302671 0.00302291427147813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0232018518685607 0.0227088249488146 0.00147453842024793 0.00129938071240487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.603555911323241 0.582697259809567 1.43048245112967 0.46675402218128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.189409538987672 0.181709725482438 0.125796910969518 0.0555334059922903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.106319706074772 0.105960994566707 0.0366290787723401 0.0218257364116262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0684021286915095 0.0671429708865736 0.0139700665811753 0.00976655979924883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.02448975946976 1.00141065173866 4.17783390384828 1.24747799559764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.323117621436816 0.315270067900759 0.390051543788715 0.141241016130602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.179106037304889 0.178757049601802 0.112622610121035 0.0532537237316931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.113710149096304 0.111791246483492 0.0416216399608888 0.0238872466368962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.159500943889784 0.152069940386861 0.0951682096181895 0.0482911826306661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0534985019024388 0.0495803250171935 0.00840111727357521 0.00605251206601536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0294085904457801 0.0294049157632807 0.0024739809237281 0.00211358469702035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0190974760205979 0.0188739273112011 0.0010090616265446 0.000925347353268852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.321813467072768 0.308557662709552 0.399098071100007 0.156668562320565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.104831165251292 0.0982823000101428 0.035013212652644 0.0199121459573136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0581681752613195 0.0582738296231868 0.0101714233587548 0.00759343894716063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0378312402687295 0.0374027366556477 0.00408619149974271 0.00338531376882087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.662224425455023 0.644013594953736 1.73656744232001 0.564075358729863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.21011684707419 0.202104282356224 0.156833655145072 0.0663615421193433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.116227025746876 0.116357142524613 0.0448295040261223 0.0257465012788805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0750948212022139 0.0741645198300052 0.0173512657991952 0.0118428645312972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.05123172864376 2.04195595634341 16.9851667033775 4.77215903256373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.667878843942472 0.666308512936713 1.75083905706336 0.536647195215651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.367324839652934 0.367465334506858 0.514794208642861 0.18627644418761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.229533463859447 0.227191650054699 0.190866806111609 0.0809307996813852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.45862376421659 3.47357174123835 48.1862088779392 13.0158257379941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.13936615993474 1.15787725533192 5.20030815688968 1.48905104206967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.626781768249905 0.634001132786736 1.55324608383792 0.496578853400796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.39008707603251 0.389289672930236 0.581778312477311 0.208768477184696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.00710320972694738 0.0150257771969663 0.000154678450166609 0.000426297994499884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.00317783507354138 0.00547101019287321 3.29557509070046E-05 6.71694603339803E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.00177081908054469 0.00309235735628105 1.13563831464068E-05 2.52453821590256E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.00128319354287463 0.00229177267522274 5.97076825680367E-06 2.04648344762991E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0390042234076164 0.0369612564453055 0.00426243328306714 0.00320017124288864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0129967739207162 0.0122289651572376 0.00048253771400652 0.000378061364198164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00684893723127848 0.00675164442001228 0.000136658483439425 0.000120157900437539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00457032199220755 0.00472964941924979 5.92153367985902E-05 6.60715597926314E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0770786133814452 0.0698677764166529 0.0167348268742048 0.0114861163626793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0255298386984601 0.0228779108357813 0.00179905903378638 0.00131967667035014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0133948638923304 0.0124774091444697 0.000498551409057286 0.000404219420680416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00888951098353946 0.00845495379983682 0.000216094738429371 0.000195612483092103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.15312935238012 0.138008999552091 0.0690821334247746 0.0429944436828482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0507993963531785 0.0449569561143002 0.00707914446808313 0.00501911370061419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0266414119299749 0.0244001824342148 0.0019338226291889 0.00152765759070356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0176501986380986 0.0162439124555788 0.000840721284084032 0.000700599183892774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.44793714817995 0.419885003557873 0.708339962332057 0.328627136794785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.151119415068709 0.134521241124722 0.0658770966217266 0.0418071358462674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.079666134390221 0.0726380686922833 0.0175303282966348 0.0130299502999447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0527437910252939 0.0478853717842975 0.00757160364196673 0.00588599016569951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.748995269711271 0.722598831116526 2.17658286797074 0.851618719931951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.248514317624269 0.224258868152271 0.189966541345908 0.107877879906507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.132135511631886 0.120684392037489 0.0497147858124802 0.0346600501308948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0875963404439874 0.0794314808295364 0.0212725575761869 0.0157992748725417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.126255502253423 0.113350829382914 0.0462676898681072 0.0296614550800409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.041510877385816 0.0367569249924662 0.00473022006498505 0.00337298745710834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0220354603298048 0.0200827609150863 0.0013244423199194 0.00103490113738684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0144380122723951 0.0133427402980104 0.000563000793041925 0.000466368987258946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.249823201414256 0.22677133777778 0.196548490801421 0.109441026465116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.082684229661633 0.0730879364024431 0.0190307022601703 0.0129543589328507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0439626881311874 0.0398321428031934 0.00525383767102037 0.00400445125908606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0287864213309605 0.0263445713876554 0.00223314367008968 0.00178435253291076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.491989125846571 0.461193966480897 0.871163275039054 0.39036375618643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.163968918548082 0.146260461885254 0.0785473473748333 0.0488500575733284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0876739905845081 0.0794352616637503 0.0212945718636284 0.0154416265866867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0574486434933661 0.0524555436266237 0.00900291493076187 0.00692770716171958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.537052162264 1.50675011893518 9.82228157115686 3.16930348804686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.47560637247262 0.4444360084812 0.798988610453932 0.359783981266931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.256366702379916 0.235447122584392 0.203831960850641 0.119036860777666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.169350607462022 0.155018537259103 0.0837542686743459 0.0559321684349792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.64188889137214 2.61125749513249 29.4386475116908 8.4936616391835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.804819945970603 0.769725446170314 2.49486936975661 0.915731452026344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.41831552226455 0.39058484242375 0.60540346016481 0.286702849530721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.275063393224595 0.25315778266264 0.240577544084557 0.136472923347867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.00427260361489448 0.0157703477490518 5.23870916487394E-05 4.90895257897425E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.00410880181969912 0.00363595840626707 5.48256653075711E-05 2.07624529658902E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.00265403006877656 0.0032336524009296 2.11315113857826E-05 4.10159791528171E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.00127211993184796 0.00109890462937077 7.08716483959911E-06 1.70505242340483E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0308681019918018 0.0418375691293723 0.00264968604209763 0.00298680221176077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0109887191892977 0.0166466538318214 0.000346026515353097 0.000651083556658816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00603601411558817 0.00975472105235131 0.000105399569064538 0.000292400397678714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00387475433108944 0.0055541927192486 4.21966125225299E-05 6.97185042351954E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.061630316563503 0.0796775803177342 0.0110078800135408 0.0123937070259503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0208404465064119 0.0326992003121527 0.00122270261106514 0.00256749575725195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0113226968027301 0.0187981330471368 0.000358708819265706 0.000990324962250946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00734677810637989 0.0109234958890097 0.000146512269658937 0.000285193889155149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.125265143977882 0.154406569261032 0.049729751354869 0.0457563707349209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0414528752087557 0.0645333638294252 0.00494811443362843 0.00986256704044721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0223256832393866 0.0371473618508696 0.00139220726210245 0.00362482214397186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0144877864920392 0.0217432203579898 0.000569475198469379 0.00115305950956811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.411998763689312 0.452811278188973 0.636542550531716 0.309063328284254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.132487713866678 0.181273017951978 0.0583862428360063 0.0682023777323549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0686605079636966 0.107593921270517 0.014397534915574 0.0271486899102663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0436663104613611 0.0646585602687923 0.00543841787152681 0.00995326490324497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.725490580462632 0.769248107070292 2.06326258354853 0.783054004354551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.234442185828714 0.290739422739865 0.199087241807721 0.155630943107409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.119524280170794 0.172074117076904 0.0475737716079333 0.0634465158107855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0738650214341353 0.106161714460174 0.016476964282826 0.0256103604261217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.10094505386079 0.126027862134748 0.0315162938530996 0.0311163894595243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0338562388115316 0.0536040698529726 0.00328472649122267 0.00686084294707654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0184556054641497 0.0307689656737475 0.000952192233231414 0.00253333811187167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.01194470717032 0.0179362685188421 0.000383210132656885 0.000779433208241214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.209690195878439 0.244918446409293 0.152331881104336 0.105718377046743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0690650928666284 0.104468046689495 0.0145656707370896 0.0248171354448738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0369500721303202 0.0607470477959887 0.00392746642667143 0.00929052253712188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0238026667772215 0.0357707722810165 0.00154705431342751 0.00310169286527998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.449826364738976 0.489914087466693 0.770022874968517 0.35346372518738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.146774899849306 0.198464102209072 0.0734600472046945 0.0800337316410215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0760746056862745 0.117461742327016 0.0180948239913271 0.0318585451559901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0479398312285427 0.0709829414204724 0.00657677987115778 0.011863754060263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.50060115957708 1.5523258477872 9.12768922485542 2.77771547001852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.507047013314659 0.571987265965119 1.01608243259998 0.490978457874135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.257441930015422 0.323218463422886 0.248566749161559 0.185755070556105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.152380562804814 0.204433681586011 0.0780053002971105 0.0833345728352998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.60955487001478 2.67692946214145 27.6908157371611 7.61188921564177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.89395211767408 0.976603741114761 3.26166756954721 1.22888173438491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.448860972713459 0.531552796752938 0.798149356866682 0.420457968641418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.265316322785685 0.34065006746899 0.258339255463857 0.198330796871541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0738295471389567 0.0819980372948805 0.0203251897415176 0.000260448456170287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.029664179457946 0.024490161238264 0.00130777680573262 0.00234018685265602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.013020890513785 0.0117036621721047 0.000504321104112692 0.000142474285493706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0110950966988579 0.00876385254308036 0.000212562313139559 0.000275636877929809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0809430953732828 0.0877572047596107 0.025809176652711 0.00391010295160393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0331406106882548 0.0296399138939586 0.00192063912693893 0.00330089658178385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0149308519710816 0.0138227864217963 0.000699609676256103 0.00029650405047472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0124241491039603 0.0105322297328712 0.000285462297865384 0.000386253272599689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.112712325866748 0.118874449312642 0.0465077965084078 0.0159899223379539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0439794702624495 0.0423596863700155 0.00393491643391064 0.00615705796233521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0212052244874989 0.020707617530536 0.00135834722945105 0.000829848484614055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0162357370365141 0.0150034538777621 0.000526054665907208 0.000725930808235852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.197086673351387 0.204745958473637 0.126453211980316 0.0717669159408335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0742408970860121 0.0746538866980227 0.0125908585912219 0.0169630603674734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0372465602085067 0.0375710368444252 0.00394306306732353 0.00312899770058529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0266203579976409 0.0262799752835284 0.00155509762734028 0.00203008640234707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.564365084783882 0.580836067455353 0.948998727732564 0.712568244124413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.209693365533366 0.214294763921228 0.11170415171641 0.122510326609459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.10687975468096 0.109212720932227 0.0307565074204274 0.0288786761239036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0736519812601686 0.0751523288835431 0.0132401177267935 0.015162107166537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.933160549808467 0.955320407171064 2.64107649918286 1.90338330541077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.34643602191721 0.354482576170954 0.316881201797174 0.319823109597964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.177362106980892 0.181492459286196 0.0841919802879654 0.0806871170723948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.121545154069804 0.124411050450474 0.0370246489310717 0.0405949551185299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.165955818553974 0.173394967950053 0.0926738365867488 0.0475655011397054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0628692699051993 0.063328473469502 0.00876067596494924 0.012612666038951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0316741488603559 0.0315744054721268 0.00289102859121061 0.00215841873664329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0224581699808925 0.0221178026601263 0.00109334002946146 0.00148567970426763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.314371606969909 0.326159136767582 0.303461073659453 0.210814703162401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.116700491443016 0.120263032638781 0.0329343636828525 0.0411725786193832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0601031019273634 0.0607400889951078 0.00992861155397104 0.00868013240221238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0409480156314141 0.0418592173822885 0.0039565133163182 0.00493171757962764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.618593678137378 0.639666506131522 1.14097550704063 0.870705705605944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.228592731959538 0.236947076635615 0.133885020348696 0.148900106383263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.118493091816234 0.120200920690923 0.0377220829562148 0.0352775028310125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0796662617326705 0.0823354238544817 0.0158045841279753 0.0182241100357455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.83300581932226 1.86673240388128 11.11693820027 6.44650311071462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.665962871538657 0.688092329726813 1.25695240383073 1.1157567817598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.352313272368718 0.357798129816685 0.335719969117814 0.313423353593452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.23396081525573 0.242079338981803 0.142890060321011 0.151601633045527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.12566153211552 3.15090716577197 34.7190428438384 15.7420927409748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.07168847064506 1.100992366997 3.53911333685221 2.5755849277843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.578491564173305 0.588389456240682 0.932475596398308 0.826117575266838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.380347922370981 0.393019693262934 0.384139706785574 0.392702398891923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0234513168107171 0.0192645375073976 0.00181915578988488 0.00067873860400281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00701572365998806 0.00713735239537578 0.000150637862525843 0.000106299871683229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.00362363320185185 0.00437397394950886 3.58194891090154E-05 4.49753487630412E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.00223606441257877 0.00332839399056602 1.47577909209045E-05 3.63384366821157E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0403320001060676 0.0452143087662696 0.00515839828977391 0.00480039303391568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0138143418973028 0.0157892221223028 0.000575169999962143 0.000605856052240866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0076362524987468 0.00879685511152612 0.000163193222383641 0.000191785316228742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0049661449550127 0.00613746298572971 6.43063417734887E-05 0.000104204348464861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0713699743740259 0.0845247653341476 0.0151370913078572 0.0174244860187343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0253552440818323 0.0293123904715228 0.00183582150299821 0.00213450735010169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0141523921243752 0.0160053413072296 0.000545619065553964 0.00064150361826138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00916155171916481 0.0108040467041176 0.000217545879130495 0.000306167847018985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.137999088211696 0.1650713923273 0.0550912157619113 0.066412973442296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0495609071725639 0.0574214807364057 0.00682739833618084 0.00822396835870109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0277173337240422 0.0311173988389463 0.00206844580544972 0.0024416371228234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0179291452113675 0.0206731840629203 0.000839202381519388 0.00110647797567375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.408681631761643 0.466023916107415 0.531588473467245 0.467722420897011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.147725645179642 0.170418402789431 0.0617706682674984 0.0701111394219803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0825460302253851 0.092383904751631 0.0185955882552352 0.0212511055861029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0535089708012282 0.0609355553402555 0.00761873636569406 0.0094878385568272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.694141136892089 0.753875225394267 1.68355172213457 1.06642692286325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.246004043040829 0.280766208823951 0.178692864195919 0.181749427591308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.137357927421085 0.153474423367333 0.0527244783510646 0.0573703291547094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0890861296604637 0.101152248907348 0.0214782737317788 0.0257975222938482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.116677763982693 0.136126919718545 0.0393059706778453 0.0454345063054608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.041852999190532 0.0474266512350397 0.00486995701400099 0.0056419366856037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0232076723563471 0.0255808642711504 0.00145185112970798 0.00164582557592275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0150084368100249 0.0172792736677612 0.000586427578497141 0.000766947494365251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.229773959636123 0.266016782818001 0.154890323820116 0.167396306890667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0829796922071869 0.094072277818174 0.0190298413245093 0.021994418431621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0460803088527305 0.0506096157438692 0.00571374644428808 0.00643679188459456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0297876899139563 0.0339228270811944 0.00233233974675414 0.00293918073945053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.456610351172144 0.506753066411954 0.672736360492722 0.541282939996176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.165554135577859 0.18689392985007 0.077596519806795 0.0840610487488345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0919059890914334 0.100820972460034 0.023056194118141 0.0251816586818851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0594712445682862 0.0674446833640402 0.00943244968571888 0.0115132491664185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.47416624119234 1.51957771552706 8.3136606204444 3.45791852616031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.495197172608856 0.535656848608655 0.80265859817192 0.582944654466561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.272979492232822 0.297252257534603 0.221138528669243 0.201344818816905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.175953714532872 0.198728780743142 0.0869277970068377 0.095550838013996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.60542925701531 2.65182393271344 26.8171283814785 8.98576580933353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.840607236922006 0.880106500563139 2.54742526710087 1.34582383340917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.449560205108445 0.482746108134619 0.657774035443903 0.482205435464349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.286055669060674 0.320136214392673 0.244113662229316 0.235530952006594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0277305903064955 0.0127127959182877 0.00318319037970621 0.000273701982444805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0130037966087138 0.0118779329426162 0.000522390319395989 9.26103357588076E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00634277208028556 0.00656877648150069 9.8465419306558E-05 7.32139804934157E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0043952163333135 0.00409561976292829 4.82963780679183E-05 7.12929341879477E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0511355984937769 0.0492103286746923 0.00926504677582439 0.00560483024039908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0189055734565438 0.0185356690718335 0.00111925162938851 0.000551793207598833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0100673426563848 0.0104017483384218 0.000267118688207794 0.000236647317047306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0068141290265166 0.00705302854758023 0.000119641135025018 0.000163655645407274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0906215243222568 0.0955953962442209 0.0262409092523971 0.0219852636413033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0317234359829223 0.0324279010623733 0.00295195522309139 0.00212624834446723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0173030074032883 0.0180523290420142 0.000787634933235148 0.000763818322680074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0115035093162396 0.0121000774104944 0.000340866189892602 0.000426309937681685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.175115802585858 0.189488164394998 0.0921538954431455 0.0864070094783966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0601542282695115 0.0624227345663438 0.0101234816861066 0.00881575440640103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0331064856429964 0.0346457249043339 0.0028777200317037 0.00292136338769262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0218131908698386 0.0229900972257871 0.00123289172777228 0.0014387210669053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.51764781526781 0.553993563789253 0.83253122922629 0.668319053800279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.177327587881413 0.184784530546222 0.087073492696362 0.0807467731894538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0979317995830783 0.102509692537463 0.0255206762014212 0.0258871781623124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0643366137250476 0.0678444979324063 0.0108774690810565 0.0118754130414438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.863173566444646 0.905238045526996 2.50827386787879 1.57281878747913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.294300369386515 0.306467042658012 0.245710342316352 0.217462030674164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.162758521881132 0.170304039767503 0.0717309200511211 0.0705633264510914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.106928894284832 0.112864540109837 0.0303958787611054 0.0322524100256189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.144696751123414 0.155916745018747 0.063715259845355 0.0587092332469805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0496522472757209 0.0518840805989858 0.00697304919162862 0.00595442179217633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.027504065603483 0.028389539599168 0.00199154384527685 0.00194729894678158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0181823476918287 0.0191130599931468 0.000856268192668571 0.00100193881145683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.285608261676028 0.309277096091512 0.243244739851418 0.224983589602053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0971811881902448 0.102183808030107 0.0260720034454592 0.0244817687367179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0541302552897795 0.0558573033074832 0.00772429460374138 0.00769296046098491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0356645623895158 0.0373486173154154 0.00331705190234233 0.00367742872633758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.566036529026604 0.60384056666864 1.0072213856185 0.780544793943297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.192854398920276 0.203183645723287 0.103471193270475 0.097471708436628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.107771066217558 0.111142365161818 0.0309738793729163 0.0304380255057463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0709602925312312 0.0741623352900704 0.0132644576749936 0.0141278710796302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.76850589297131 1.80766904479154 11.6440920331786 5.02182461890553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.568270705698909 0.593465662415225 0.998968704300855 0.742074833730317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.318802145753556 0.328369250802607 0.287622511661786 0.251349112235896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.210334173208313 0.219660515202765 0.120936270634801 0.118437783068053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.08927148211249 3.12616570230159 36.9636532905208 12.814160416725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.948282186094798 0.975298442780092 3.05707985556344 1.7437838008997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.519491047937736 0.532421084408998 0.820127188366639 0.614048764198639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.342198600973159 0.356041757448305 0.333830246730105 0.29823940575468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0457683223274827 0.060508885574044 0.00780487665717988 0.000661003693733167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.00992694034383517 0.0213193903534676 0.000277715443408511 0.00129321709817373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00616602868134884 0.00972742864361191 9.67867002502604E-05 0.000115307823216106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.00395529038173888 0.00711835612962107 4.02550318988077E-05 0.000157763814568065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0605873228314788 0.0718242844705183 0.0139544053566361 0.00452977957655902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192811426079391 0.0267233651989069 0.00106295611471298 0.00211463259776681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.010510553450679 0.0127556258598228 0.000299800318534267 0.000290189679225324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00712971982308043 0.00925744716720076 0.000129673497462977 0.00026549086847997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0998903928219387 0.109747008902205 0.0337768089288239 0.0178615327686784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0352023419240896 0.0405561128649671 0.00341291424635048 0.00469001315327924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0185847453394945 0.0204140157390439 0.000920049445597362 0.00087654471738464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0125713598689654 0.014243630189348 0.000401605596312943 0.000592917344236883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.188566462974118 0.200728651953478 0.109720966886697 0.077191054197736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0686775960292924 0.0738970154730086 0.0127480568692687 0.0147317492134119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0358987070809429 0.0380667021993085 0.00339209621104074 0.00334830381112381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0241488916198421 0.0259531076260404 0.00149366977794558 0.0018621957651074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.553614549467689 0.582903716926025 0.931363442024697 0.708421710595296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.204292392805821 0.214795620244479 0.114398032416527 0.115396918064246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.106590570321376 0.111621401281943 0.0299925765799469 0.0303795887818687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0714385052423296 0.0753953686654472 0.0132647419285963 0.0149056962083357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.919494822297618 0.960868508328163 2.71577059862378 1.79968263005001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.339120242993729 0.355378907734482 0.32479180827584 0.301827961331672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.177358921161596 0.185511418942981 0.0840458513207202 0.0838487150219541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.118744728556625 0.124957839038093 0.0370117310035219 0.040196629556659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.156139620113741 0.16545230277455 0.0765725151048581 0.049833137485155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0564666865750542 0.0612687553281684 0.00864395141598075 0.0102953970436589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0299066805185985 0.0311364279763595 0.00235436102893218 0.00218926806718921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0198753539742474 0.0215416225430554 0.00100842385600167 0.0012939450881601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.305067236519872 0.318784592219815 0.278448519586001 0.210626145382109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.111864968959545 0.11775773368429 0.0337941004301242 0.0362826808885188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0589605150340231 0.0605252002155053 0.00912411132667323 0.00875728885668544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0391569894869246 0.0415416257087205 0.00394580038753523 0.00460525264761682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.604114258963939 0.628001509319608 1.11432530373277 0.819374274186342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.222943500004813 0.232715311501583 0.136736717291742 0.135185608659323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.117369454324985 0.120138550561069 0.03642607712133 0.0351909767333789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0779235852487444 0.0822282068667757 0.0157923998912166 0.0175455837812565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.85147408111175 1.88495316176809 12.1240641595881 5.82092618998867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.653169878009597 0.672976333131337 1.30689802623678 0.975519896413371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.34850454600418 0.357300576408782 0.337065874011693 0.30242459904618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.230720399219175 0.242727949415199 0.143133165145743 0.146702252973566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.21743954261628 3.23726743967553 38.3793646570177 14.7778035877761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.07048269432061 1.08664645963578 3.85081400623742 2.20132819674576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.571335077295416 0.583700019167665 0.963538682805201 0.761418254848792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.376228685749701 0.393011578314082 0.395828536596173 0.372940481293721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.09149963629399 0.080287126795071 0.0335321349448372 0.000100066041490339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00920710770188189 0.00921351252589752 0.000314323284228265 0.000152087229090627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.00925661540733757 0.010071940096621 0.000147492197294953 0.00026446808685165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.00690432252416321 0.00709867947592047 0.000154044452649514 7.79533753889526E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.096081822336867 0.0872494262132356 0.0394741009427083 0.00427623476187658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0207571645169403 0.0206751213405885 0.0013244814012225 0.000940343751423668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0129638494918899 0.013388559508591 0.000347225230035106 0.000489115836351167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00879474104979539 0.00909367449016261 0.000260818892992799 0.000162175779847339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.127991323648949 0.122889498306215 0.0653311048798334 0.0183089343844659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0382669413632573 0.0379806742676748 0.00417686616388406 0.00340816967682543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0209137307853339 0.0210591294527311 0.000989048083309949 0.00118788459256082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0139451329555209 0.0142561801405821 0.000602824415370221 0.000440824968366801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.219298184956775 0.216801385126753 0.166315275357705 0.0830316356392041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0748439890985078 0.0741646926708486 0.0153004959829272 0.0134486041064264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0389786827776553 0.0388848896322739 0.00365435490321344 0.00395622379458624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0258376253424786 0.0261552310761883 0.00190797774954134 0.00160351367685564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.622323303301362 0.621314257811268 1.18274314910287 0.816882092851243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.222901233129035 0.220725996300782 0.133862937275438 0.119432137059513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.114136624670587 0.113604917178343 0.0331010732387904 0.0329043615609277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.075496121428794 0.0760942740696151 0.0152519492359424 0.0143681614037507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.02446710938441 1.02240123014606 3.24442350776757 2.15654398632597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.370557251354034 0.366886752409552 0.375571004560011 0.323548264744484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.18974037903906 0.188745348298191 0.0932876421394314 0.0895764019573723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.125294293791216 0.126282711944415 0.041549683312586 0.0399018658190887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.184637873453495 0.181917749984731 0.122770952355969 0.0543514770759492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0608698295094544 0.0609554509773531 0.0102934778093875 0.00902030933758749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.032295638850578 0.0321619218789276 0.00249238006184388 0.00271888315736444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0215234733807355 0.0216563290079207 0.0013472524919508 0.00107656445450769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.345889295132782 0.345779104850178 0.382858796809756 0.240200295055945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.120665231895063 0.12069251943047 0.03953019361417 0.035921798638875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0627394402579441 0.0622319680709706 0.00982871696625535 0.0100090301780508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0416954364299182 0.041926520217312 0.00476717418469808 0.00425861923922096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.677785526960667 0.679596097691659 1.40252908784164 0.981987004441119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.240583973827157 0.240454333625095 0.157339646664218 0.141574855596695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.12438403380453 0.123473692228041 0.0397844217562445 0.0388183739929429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0825607548890321 0.0831776933457005 0.0181349110857262 0.0171887088704701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.98881048918345 1.99083837023388 13.2937854881797 7.14608416955325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.710022588203306 0.708870055889822 1.46642964605497 1.13314495321864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.369349571130648 0.368070424662095 0.368515652663442 0.330722590202141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.244161183042186 0.246917928784761 0.157250805016835 0.152087014108129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.3511490002473 3.35759724190344 40.1337437950884 17.4968682988296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.15851900314243 1.15718900883284 4.25880635593728 2.69273365572878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.603542273291522 0.603261166015685 1.0329241857953 0.846968324920563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.398725752472846 0.403043117948888 0.425820362000634 0.399595993316975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0834345128701956 0.104965103100289 0.0269078929720184 0.00192536043077684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0185885707983312 0.0248320160710381 0.000572173798022654 0.00166232210403226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0118203005594725 0.0164363286833353 0.000459531711855946 0.000383141328745182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.00506578955425438 0.0076335313794948 5.54477907855206E-05 0.000172513929029672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0892682461362367 0.108232746790905 0.0326302875998436 0.00588507947881753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.024553807851024 0.0295884579651403 0.00126739127448503 0.00249960637049681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0140471750874593 0.017931719751701 0.000674879000552519 0.000550511882737813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00773020837836974 0.00970753861761465 0.000143644038507072 0.000274193520431362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.120346623249174 0.134343100098389 0.0554092520056996 0.0187683786839645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0391216547534711 0.0429238138492511 0.00354769836295267 0.00517820911047593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0208288345246459 0.0235929321873694 0.00138629145106677 0.00111766415947552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0129884806842521 0.0146052063296506 0.000417589102061884 0.000585544184044225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.206671579018696 0.21895204559334 0.143772360664374 0.077901784588819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0727125716283906 0.0764374531460356 0.0130162955620902 0.0157370041520232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0375306872003369 0.039642444060705 0.00412506092893746 0.00353870669270122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0246001114846514 0.0261138290888685 0.00152473741666068 0.00180461210240951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.586863483782999 0.608176098665677 1.03831184480601 0.773141983240909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.213046283934758 0.220327954190736 0.118096671101438 0.123786860945379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.108708583323367 0.111697777390446 0.0320719024570729 0.0304694551400818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0724658817617769 0.0751141649326758 0.0134252030258061 0.0145968557785063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.970064710091797 1.00105768844676 2.85782641166199 2.10128851775194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.353916222748727 0.365444389402987 0.334232886423036 0.331580617831367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.180519737275851 0.184861606893575 0.0873904408595613 0.0844606215137676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.120537854408 0.124673046711775 0.0373008248564817 0.0400102799516007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.174782909871656 0.184605705129119 0.10621831384835 0.049948544668277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0610093940165805 0.0635297562050309 0.00904613163320458 0.0110300654647926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0316612833436042 0.0334927580748861 0.00300551271918333 0.00245803864892703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0204691501784369 0.0215955124967502 0.00105738903100647 0.00126060975989434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.328297339420039 0.336033625915305 0.336657745137735 0.216347321292867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.118665306814394 0.12095690556511 0.0356441119463133 0.0385015711303021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.060810236820977 0.0620400284384017 0.0103696493962559 0.00911302938498675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0400956348039764 0.0410440014281609 0.00410796430397525 0.00445033064768015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.644284770812898 0.653989669300976 1.24222705557936 0.901890661872796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.235403403168328 0.238522533805978 0.14477443527527 0.144944479525227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.12027412652153 0.121327956610397 0.0391695297925487 0.0361780258803076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0797676023153784 0.0808351118239203 0.0163726161497429 0.0170714123985784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.90074134587376 1.91230624113738 11.7651670577893 6.91665046240949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.695828240403601 0.704108868942748 1.3637751386044 1.16492688251126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.356545438325375 0.357735116459683 0.342196880432067 0.316895209887482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.238543404506542 0.240656963226533 0.14797356573506 0.14972186493923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.20294844094143 3.21555195323852 35.9213053997414 16.8674575316495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.13109080552427 1.14128063399813 3.89042490463826 2.79715886317042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.58400048412608 0.583683975847838 0.940419194142091 0.826919298752908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.394775983291882 0.397667054601375 0.410102332937831 0.406000993636886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0193353873885911 0.0151848413693229 0.000209389476271331 0.000636533382930218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0120340712723195 0.00569477616516385 0.000237198005847111 8.53838844087992E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00558660391993096 0.00259285324996764 5.08152600134087E-05 2.02150739473864E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.00361173451352698 0.00154992560653061 1.80003768824495E-05 7.67376603003407E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0597844335834206 0.0366218696508349 0.00713192406615508 0.00369579752027608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0212373078356925 0.0126118059863625 0.00103144617022387 0.000434888763629422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0110811703244431 0.00671490362542983 0.000267115606350428 0.00012775002931689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00702973676384275 0.00434576000943715 0.000104949561498504 5.28949428218536E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.115061863359833 0.0695162311877609 0.0306566260026414 0.0125505927933246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0384895870314628 0.0236571133364598 0.00360014915490927 0.00147411810829422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0201085860505855 0.0127939728197187 0.00095791404820902 0.000440933343531118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0129053924362021 0.00826800368761141 0.000389873490190013 0.000183646005970975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.226543241072289 0.137472176837983 0.129978532911724 0.04593667449861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0749245987507052 0.0465354245357465 0.0141643508333158 0.00552769856604309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0391492072325269 0.0252591603418993 0.00381047398517906 0.00166251494837313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0252272192765961 0.0163099717494835 0.00157187892764777 0.000696332870473051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.629400373148572 0.432606497055178 1.19272048173673 0.354948514572077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.221528031673175 0.139402306073354 0.130321999341566 0.0463799211373176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.116339276384269 0.0755053615192488 0.0351666077867145 0.0141900206665134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0751006890764272 0.0487200945120467 0.0145318453737582 0.00602094946550335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.994571655138058 0.783758441270161 3.38366834787252 0.964123502465652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.3626956750537 0.23409314773379 0.362762617267151 0.122385800337866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.192909048811696 0.125902280931769 0.0987563028726902 0.0381874230707495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.124814296277763 0.0812186470921955 0.0407371081113501 0.0164088838872175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.185311939801124 0.113394205880314 0.0851324833923218 0.0319696256594883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0609347526898743 0.0384783944389602 0.00929189020262084 0.0038282678993713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0318773501572061 0.0208339575056624 0.00248472040499803 0.0011467800712849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0207664073497581 0.0137156044755383 0.00104441209748307 0.0004952815092756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.361760054802901 0.227475704986935 0.35229171814877 0.116836799904401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.120268672019816 0.0765013324495705 0.0374086229207012 0.0146619620393492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0630456428120614 0.0414747328143408 0.0100511864300599 0.00442364853206737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0411691117925348 0.0273234160411459 0.00424671639586007 0.00192520017411663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.674323243158036 0.478747438328268 1.40297270037829 0.421871240621574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.238115565327843 0.153254918475585 0.151937510665498 0.0559539794793705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.125434827127785 0.0829222107049665 0.0408258183680066 0.0171506069680033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0820679327170331 0.0546116623317017 0.0172491001101528 0.00753419483054893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.894765137891 1.72211907575349 13.8400064492759 3.79196917611884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.654660944115752 0.480391355917005 1.32412643451144 0.432425567892684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.364158113101267 0.25068243174672 0.367191222780529 0.14039603382869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.241961496820834 0.164239953159499 0.155695803760548 0.0638249219332192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.15116333465654 3.02744753111367 39.7242159960383 10.4597565968275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.0208160977248 0.862764527856781 3.61798581862597 1.14231096122352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.569030394183405 0.431423856750027 0.971934550253224 0.35890749267287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.38701784573802 0.278117760281319 0.41475567164896 0.167449853085867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0236882999181532 0.0161948987258671 0.00218952435611647 0.000956830995473776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.00699500353092146 0.00536123482246171 0.00016482853891894 9.93084041567693E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.00381056700615318 0.00284059649250739 4.69185357336005E-05 2.48254104311704E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0026813336132666 0.00195807095950329 2.19768621125696E-05 1.13897128163234E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0540820461742578 0.0492893383105547 0.0101314193167004 0.00647073239811129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0178632278350366 0.0168513585915858 0.000951139291894909 0.000789489479837779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00979358822736624 0.00931613858576151 0.000275555067797983 0.000231862842272383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00650462384715328 0.00623671027261936 0.000115625676518114 0.000101974905996869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.100165960528407 0.0942607215768835 0.0348138523140096 0.0196826525815525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0334231365276257 0.0322855466146542 0.00329124149359058 0.00264670798749853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0184131050913692 0.0179751526452745 0.000951740009407577 0.000822300099604877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.012064540751778 0.0119535068876981 0.000392875362972607 0.000363308905627585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.198417437453377 0.189358038135064 0.144927110411845 0.0630476166005558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0652925535344183 0.0634760962312156 0.0131189482390081 0.00907343807312195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0360842369986071 0.0354958970881834 0.00371683678379782 0.00301644523218771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0235758686433851 0.0235915840312515 0.00152291529365545 0.00136456472040194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.626779246867992 0.611356583413731 1.55978857878661 0.477471328372332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.197321864589593 0.194399670020366 0.139465130235549 0.061953464940065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.106738778626135 0.105704046915451 0.0369378262109151 0.0218085420683817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.069645409928231 0.0699672999427381 0.014654492759876 0.0104965166515353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.0687601611278 1.05118439741909 4.60572797041539 1.29293144182618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.337839289768662 0.335468696949267 0.433061785474617 0.157874033184278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.179695405258914 0.178491525999055 0.113391118689814 0.0534263638860532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.115908750054232 0.116646836999284 0.0437818579433367 0.0257922652933976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.16178434309478 0.155341603958404 0.0950249291118651 0.0462552990631708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0539178502815116 0.0523626100719764 0.00872029751202862 0.00645664225433735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0294061503318036 0.0288676545693893 0.00245398428064762 0.00205827581172274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0198007465693983 0.019216318109925 0.00107448767652624 0.000933428534039219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.330473156490749 0.32169891333405 0.422122927310797 0.157803044179307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.106516150722545 0.1041311160309 0.0369810052246999 0.0216896854782498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.058007508777823 0.0572087598286899 0.0100608747227789 0.00738778200906936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.039058792172354 0.0381087462501029 0.00433657058724421 0.00343206726900865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.685055266603952 0.675937130045271 1.8826932540365 0.586978199199823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.216098423698859 0.213489047796852 0.168530636930226 0.0732071170746172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.11552169291163 0.11442717574556 0.0439885331785359 0.0251748201986778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0770938519685226 0.0757728750560424 0.0182684780391605 0.0121748626626124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.1327666025203 2.13748173022158 18.6570354762097 5.06278464069111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.68743208335778 0.692754333628632 1.87023126850126 0.582780115402532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.359888946022787 0.360784293443263 0.496575987774103 0.181055867809304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.23404497151688 0.233785827907353 0.200803421940497 0.0870907334444937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.5956064714533 3.63118613371913 52.7914450521281 13.8104563036523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.16527946888313 1.19691068889184 5.46936510567229 1.59774770373307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.608761854754037 0.623025465388376 1.48014761762081 0.495974428950831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.394578655026142 0.400645541343733 0.607888464012461 0.232035903017804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.00887095744385207 0.0120942882012878 0.000263948815986044 0.000252907719252604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0029338144973513 0.00401333903190072 2.76176012681941E-05 2.98956962408593E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.001656699724965 0.00235805874218229 8.61962214998659E-06 1.55701485476941E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.00126821202534525 0.0019572667671596 5.83565587358268E-06 1.79081351584797E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0386747719676944 0.0357510894592251 0.00429414887637387 0.00286905394507968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0131586774890929 0.0120186222630622 0.000477695811217149 0.000337693230906117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00711199532270876 0.00661296125875629 0.00014079677031476 0.00010997597312118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00476726079993669 0.00464028800269398 6.4737975174294E-05 6.2185453157817E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0756016061185431 0.0684008941717314 0.0163707929016868 0.0108032084673606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0257947739100261 0.0230161638271954 0.00180789938192275 0.001289883200313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0139285562090243 0.0125364961556906 0.000532869712980792 0.000397565836127316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00927447350825587 0.00846218256665219 0.000240107196342219 0.000193097977620811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.149518489939316 0.135544809714975 0.0664302898832191 0.0413215039416758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0512508304041277 0.0455477998776154 0.00716639275757781 0.00509248355724052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.027704783305922 0.0247311442172065 0.00210436390403519 0.00154657192628489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0184533513277514 0.0164651292694847 0.000947203939147551 0.00071514382863063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.434402827729604 0.409862088493605 0.666707968643742 0.315339904535629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.152028375323408 0.136586643461424 0.0671967439819962 0.043473273002533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0826757921447847 0.0739797244742647 0.0192152491939024 0.0134685168011728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0552456121226927 0.0489673867955247 0.00861328879734832 0.00616878701517709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.725099377406877 0.703813296917597 2.03577238887872 0.811828101146509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.249166046473262 0.227738237106008 0.193637333836775 0.11274791714393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.136775142030362 0.123218749562578 0.0544036122428813 0.0359522320915444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0919755201460671 0.0814810434854811 0.0246798741674159 0.0167928207104683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.122553106142526 0.111848293959016 0.0443851826993054 0.0288433074840548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0418094089421773 0.0374045236366508 0.00477600381436472 0.00343176764557206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0228389378235797 0.0204184314478041 0.00142381068797439 0.00106357159344379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0152939764760962 0.0136187851300822 0.00065357979038353 0.000496594418055959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.241711323886005 0.222754997244284 0.186107928850111 0.106831614444323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0832717037987072 0.0744611515049755 0.0193312389681757 0.0133993911567808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0456031848182025 0.0406130402363979 0.00577282924160588 0.00417189783276992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0305176847244938 0.0269533475090305 0.00260814227821364 0.00191923080709204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.474324523199784 0.449706091392724 0.816423833752468 0.37764650032813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.165257373796862 0.148765726280706 0.0803028053079966 0.0507137373715469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0909196994288946 0.0811348060242918 0.0235011684321748 0.0162218071566817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0609539810402591 0.0537530614867488 0.0105521141534054 0.00754589150906536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.48010871739102 1.45327062895036 9.13991753987339 2.962161074501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.479138601326332 0.449838257580048 0.824587179085698 0.37198973980222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.264360253922013 0.242168119660399 0.225924594607957 0.129768565216789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.179529978460419 0.159683605065015 0.101327894539326 0.0624915882086528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.55214340789856 2.51979816103612 27.3568559670588 7.85548614274486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.804688969720461 0.773824856263135 2.52269899088946 0.934996933142934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.430346471604897 0.401520008855298 0.678946017597265 0.319701136917639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.291736921298767 0.26113823128563 0.306178713883495 0.160279750672532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0121078706722549 0.0120638694875145 0.00051513787021758 0.000299548163740397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.00427157949724223 0.00403441960819839 6.32778929314613E-05 5.15192258096715E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.00240281635446392 0.00223061645835981 1.91074586721301E-05 1.22470391854675E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.00178028123649492 0.0015156674391465 1.1983615442949E-05 6.15539688817351E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.032694200506055 0.0477477706117191 0.00327223704950913 0.0053309787658115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0110466347740852 0.0170379333636807 0.00036365443090504 0.000785850188882356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00607307692438215 0.00883040209237657 0.000105505289327679 0.000200813331146855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0040884721614887 0.00610894724483473 4.76869097573806E-05 9.58581380299738E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.06268267372667 0.0914859963305369 0.0122078297637315 0.0190822255073949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0208276404230092 0.0332391782852007 0.00125477024786732 0.00287414871304162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0113869558537107 0.0171996191779599 0.000360639762548334 0.00076296904653468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0074872785867575 0.0118846762222745 0.000153505809375717 0.000363456088032037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.128963037642251 0.174199821592796 0.0562248746059176 0.0630909786607994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0413614816693151 0.0654535343951337 0.00502593022712135 0.0106451875209553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0224214598825037 0.0340952320209592 0.00140180876199278 0.00296301533416874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0146117684587367 0.0235617457708904 0.000582019270234286 0.00141987495340147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.440068366198878 0.496583286722839 0.758169121925152 0.38911844371621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.132480574886491 0.183213576488337 0.0595550350300946 0.0713702345418087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0682713814873335 0.0996771544747912 0.0140780424630103 0.0235329742999186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0440786798623738 0.0696510558745741 0.00560749002352845 0.0118871718153987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.777071347081591 0.836408420400536 2.45004230940869 0.966897445504565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.235279813591476 0.293895490628989 0.204052034774015 0.161791718117838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.117397283001989 0.160695872395815 0.045136392221226 0.0564704199402998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0748309868204791 0.113615475887975 0.0172077929495241 0.0301296485807766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.105003725884933 0.145919582475509 0.0364592657138315 0.0462217418186937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0345161947451957 0.0542824388467862 0.00344558711741652 0.00737069095208982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0186783380306222 0.0284683850043836 0.000978488834128161 0.00204897355842659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0123018228128454 0.0196546743779926 0.000414558819736804 0.000994024592763941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.223477534451314 0.277454966061689 0.18342911108687 0.145635814063555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0700934573254142 0.105936884526079 0.0150676577525286 0.026249112578355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0373889449872358 0.0564626080141232 0.00404589184564668 0.0078503112252809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0244932810376115 0.0390300683470517 0.00166821487772037 0.00384687214642559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.486831195348254 0.546678004029404 0.94227293203918 0.471484656882009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.148123456433792 0.201034568011311 0.0750527223486039 0.0837660631428124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0763948841607637 0.110146809139371 0.0181864862918171 0.0280360082740268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.049615513230196 0.0769129171648877 0.00724253287175408 0.0143369513210104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.6171594919192 1.70808008523431 10.8968781796025 3.59399670241555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.508399311504583 0.581531224172454 1.02571412069885 0.513135733388823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.25175064861629 0.311144532961406 0.236992410274024 0.177637487579058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.159938233336126 0.216379751551605 0.08979442929456 0.0964246460195593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.78409122086322 2.91755779069492 32.2146179906515 9.54041483693113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.890548780379174 0.993273377839426 3.26135769491071 1.28560698413463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.441846188232327 0.525997001098666 0.783641580476575 0.429570900356587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.280590899470892 0.359823742335801 0.302426099883663 0.234824979508853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0512618737660379 0.0528352502759407 0.00964532370406651 0.00284271489032531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0167698728933666 0.0159527742750689 0.000869507160043986 0.000553532757507737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.00898922128448675 0.00832261001753914 0.000244487371148389 0.000139834554876641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.00707919740484636 0.0058630150045587 0.000152075499218911 8.98104017856499E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0706533264791211 0.0722357879481473 0.0170579618655515 0.00770423088433869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0236579988202239 0.023346520336827 0.0016474612008195 0.00124936859960595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0129911929521032 0.0125907273905197 0.000478647542834546 0.000348048139027955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00947108301231071 0.00839873263095419 0.000246721927326302 0.000183946821654858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.110295938863689 0.112465574188151 0.0383537667596287 0.0235868849147512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0372835093754881 0.0374360989198186 0.00391351451800703 0.00335807105989794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0206095645613315 0.0205008789031863 0.00115587157946331 0.000984797728506112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0141930802813478 0.0134040346908009 0.000522383291534028 0.000465381650872744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.202243320551682 0.205802063616886 0.120717131166692 0.0910153481115026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0685318867259768 0.069431974658664 0.012793707771845 0.0118973455679577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0378722921893056 0.0382392397620015 0.00381621136852751 0.00358418547252891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0251657298040503 0.0248081651707826 0.00162041140641734 0.00158833243217281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.586110737591329 0.596198547541798 1.00038413437322 0.798705049423443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.199652114866146 0.202663954258812 0.107116090354288 0.102100087944426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.110192738596608 0.112030099706907 0.0320235864081021 0.03154649526139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0719102094465238 0.0724673953503811 0.0133611395824167 0.0135507717838288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.964831154268199 0.979077291927515 2.83506240022823 2.0386392235752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.330912509050866 0.336407544486559 0.298571921376698 0.277641244011573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.182862593471236 0.185869030595148 0.0885072997872781 0.086700270790062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.119196870647405 0.120293261848082 0.037087986527489 0.0372128558522837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.167756805432405 0.17083117145349 0.084939543522542 0.0611405980906853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0576723375993474 0.0573535871136341 0.00918211625342703 0.00805635997023228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0317763388823343 0.031738257379487 0.00268397666875086 0.00245025004928616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0212602145019159 0.0207526926631485 0.00114342100803387 0.00112299405558097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.324020396363848 0.32938157136701 0.305491460695141 0.244462642347201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.111464209551659 0.111131333664317 0.0336636867088568 0.0307238112569245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.061403790086531 0.0617944640663714 0.00990535325190691 0.0095456741541009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0402518380199877 0.0401716225107878 0.00410556981037471 0.00420719125098829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.639682075393889 0.649208825248511 1.20577943887282 0.9439747779303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.220526604134799 0.220062635287164 0.131828430336584 0.120125228385242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.12154010648249 0.12262621022615 0.0388041849894004 0.0379565091355945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.079096069821442 0.0795655109882314 0.0159795681871658 0.016484888144415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.89050233067335 1.90427089130085 12.237854853024 6.54623386513683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.649451850706834 0.647795076321221 1.20744161822031 0.97846904830418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.359309361409778 0.362361541799677 0.347390689450607 0.326368994990162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.233993250353539 0.236159626382593 0.141945315141409 0.145007629789214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.233859719944 3.23933993963039 38.3625274789268 16.016772792312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.0563274225382 1.05016909066059 3.43539527573042 2.36774353116332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.586625626226115 0.589177550136687 0.964498237490979 0.838201236630956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.383695957251257 0.388718057432039 0.39139440589083 0.40773384547169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0171405510990251 0.0183371827930369 0.0010686859500551 0.000639063735550776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00553122561462156 0.00611587182246194 0.000103246983344763 7.73434402536388E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.00308670567477346 0.0036270997747368 3.05903697039299E-05 3.4704044876855E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.00231893573965858 0.00288063305257047 1.96007276687995E-05 3.47030807551129E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0401685928170508 0.0455385262599325 0.00497275705728166 0.00479933467431425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0138913660683207 0.0155483000445101 0.00056407657421914 0.000575290652750517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00755464252912645 0.00865047368497692 0.000161132916190879 0.00018918924504745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00513165891242772 0.0061076802169966 7.54622043107225E-05 0.000110457738763157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0745390359380934 0.0853186338746971 0.0163266091912514 0.0175026905161579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0261148997394164 0.0292129778546339 0.00190731960511375 0.00209904143100706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0141221711316743 0.0160448445237272 0.000547477780523665 0.000657603415153493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00934640612058584 0.010902159163004 0.000241335055811485 0.000327654613840762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.146188206565566 0.167149517493681 0.062492860511763 0.0667614944770623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0513688356645418 0.0574021360520574 0.00725746472094441 0.00818341308168422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0277497864123138 0.0314401168034202 0.00209411317965066 0.00254208394482288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0181888618163453 0.0210081830700969 0.000903249933716618 0.00118321469724077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.437852107553817 0.480426523162876 0.62799977169204 0.482221450955278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.153150546085757 0.170628039898787 0.0664510768551674 0.0699667118120633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0826972989533661 0.0935036555180057 0.018842323215511 0.0221025072824158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0541003504560393 0.0621817444301691 0.00798753923421234 0.0101704917651663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.742987918039818 0.788274267776407 1.9842581924281 1.13255440748997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.254660279013339 0.281465418388783 0.192662773918265 0.181626078925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.13756356721783 0.154878556116571 0.053304101195352 0.0591435113855586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0898727287394423 0.103143151875251 0.0222459942654583 0.0276698239595528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.119232817567966 0.137788365742159 0.0414604979249828 0.0458095269882425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0424841213140889 0.0476005232064546 0.0049816667173469 0.00563124202306988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0229398239822238 0.0258381928660533 0.00144345431955708 0.00168505695038076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0150866362315353 0.0171198011771792 0.000622159401795342 0.000750593184074469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.236835538810076 0.270578835838238 0.169093306559662 0.16904630055253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0843906638904076 0.0944973662186694 0.0196996298141582 0.0220638778431419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.045543663203499 0.0513163792366381 0.00568146620968131 0.00663451303991456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0298487869900877 0.0338747752461137 0.00243746874586151 0.002904098630695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.474567432103935 0.523189453095448 0.750206572826663 0.56051460183175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.168392568166119 0.187875620754336 0.0809051120079625 0.0845182107677257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0909042388920017 0.102281153127141 0.0229806470859524 0.0260057852459693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0594655152042577 0.067647517509054 0.00975251126060328 0.0114679711838564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.5333496866289 1.58732288444031 9.19954526346354 3.73807520234803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.501954397938302 0.541199256099468 0.840170058621279 0.594898922279512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.26927062682239 0.298674835704909 0.21728143668369 0.204549379064279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.176502293534474 0.200657801947172 0.0909701482022411 0.0980373836052738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.69199110331932 2.74619898959424 29.0345207501838 9.63130107848249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.849640307155265 0.891760257395923 2.64573811329683 1.39212433505957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.441545213224031 0.481520604023807 0.640984177334841 0.499545773704289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.28791979424346 0.32495429621582 0.257201282780496 0.249505026645818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0257758182483931 0.0233977980457689 0.00229007941206984 0.00105836593618684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.00872766854355127 0.00802512186078263 0.000257117633068485 0.000108622478329588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00496629064423414 0.00499701056726255 7.81299338024302E-05 5.63337587329387E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.00338899320257977 0.00382978779153705 3.49306105082182E-05 5.28502690454704E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0515866005502748 0.0525353457570734 0.00817360073862117 0.00629867862672812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0174694424671816 0.0178112128947152 0.000910194906001508 0.000687023509660977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00957249056790048 0.00995167899482918 0.000264151420515218 0.000232416475908429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00636157134743033 0.00694711139925424 0.000111715728121065 0.000136326702054948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0932554466291869 0.0968181236475043 0.0253705003822745 0.0223848710729471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0314629777588418 0.0327317576535869 0.00279329844137818 0.00251151520816631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0171352914412962 0.0178727784710176 0.00080993568209534 0.000778365497780453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0112341995549206 0.0119769259976895 0.000340327062215848 0.00038075416328102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.181239568867786 0.189124874926916 0.0943259975535068 0.0857103948634136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0610252311043151 0.063899149533919 0.0102129534693421 0.00992988237249977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0332016063372173 0.0346379432968582 0.00296900938940377 0.00299156027058184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0216625869053074 0.0228216643280562 0.00124903053737666 0.00135151916585206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.533647040533143 0.552984325394052 0.885762919231525 0.657050217029315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.18116989896388 0.189880001047003 0.0906056484305061 0.0872311278449257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0985875076609014 0.102785559416905 0.0260958413158803 0.0264418984873881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0642429484635055 0.0673935877045028 0.0109860921491667 0.0117759449116443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.887666594824696 0.911393967066188 2.68386556592229 1.56635232455346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.300528064728043 0.31448528563754 0.257013629080959 0.231686048466662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.164007109311391 0.170901830351209 0.0731984266977066 0.0721380181455301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.106790863604507 0.111976986947814 0.0306105363004774 0.0322521349526411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.149420213984611 0.156352575385076 0.0640007605526457 0.05864835552026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.050237449713536 0.0531169180414646 0.00698232943761181 0.00684620216492965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0273671176616445 0.028971089414424 0.00203048579461465 0.00208228859181984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0179070330208462 0.019283147608073 0.000850479400664978 0.000979296441358736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.294586779067697 0.308601133552292 0.252495618266025 0.222305974552626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0992008923045987 0.105322243494269 0.0269457186939707 0.0272801866063632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0540459174115614 0.0572520274854863 0.0078277057617564 0.00821812571787588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0352508166673439 0.0377718030331098 0.00328100667004028 0.00371838668121392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.581427421379876 0.604752950304509 1.06196872004857 0.770570510562133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.197321430771418 0.20969207150106 0.108277244003936 0.106484252320684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.10762744852836 0.113986559376267 0.031155732052257 0.0324138384881654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0701259830351507 0.0750295310467459 0.0130425644252351 0.0145399508254894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.79887159922036 1.84029020582953 12.2021417454677 5.15063212206249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.579236477487043 0.610538070855713 1.05005361502431 0.787729881299225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.31866346415946 0.335230161581617 0.288145216013125 0.264996968179672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.207916601683905 0.221820972558116 0.118658469149412 0.123211228143369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.12725727191097 3.18165253392123 38.1458487352411 13.1594949503298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.964924659574508 1.00278196558888 3.22419369231904 1.83740669364307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.521066111905456 0.541979801124496 0.829011317044893 0.648280706202522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.338367949723232 0.361264663655279 0.330162086387441 0.318016255668492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0305928284838154 0.04057604367708 0.00350718255762522 0.00190303874388546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.00902806767312666 0.0125626034358665 0.000257478184547944 0.000315951419144747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00506205070854673 0.00652910140633152 7.9672514714921E-05 8.65863610422986E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.00367624938676628 0.00469979217795058 4.04471726639848E-05 5.58958745803149E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0563434247683205 0.0635698954479551 0.0104401688350381 0.00692861291895044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0189014753589096 0.0212457665819006 0.00102516591163541 0.00100617049851511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0103333964832782 0.0115097141776445 0.000302316236856975 0.000300183074458109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00700514466588933 0.0077965770950037 0.000129837128664385 0.000154091794104728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0998878114173768 0.107083611555436 0.0302930866199264 0.0234359989530872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0344810085744436 0.036516938702099 0.00326758324101156 0.0031547030319038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0187340151610318 0.0199755725689694 0.000957016587647124 0.000957641515263941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0123795785691059 0.013255892069086 0.000400194360702468 0.000447712119273327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.193012113200181 0.202811907671615 0.108454825021778 0.0916069412624698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0671953290755674 0.0697475633539782 0.0121521552034401 0.0118647487032126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0364628418381523 0.0382527050680476 0.0035527420559636 0.00362732760251326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.023872169532966 0.0251668272621805 0.00149185791653796 0.00162582031714053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.56881671871954 0.592615910592153 0.980235390274928 0.758080294792338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.199567742585907 0.205899818254248 0.108172098510693 0.103127582511618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.108389431147698 0.113114809657982 0.0312953704840443 0.0320232433354675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0707738244490673 0.0741054159861732 0.0132213479781875 0.0140654256084732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.943338675754641 0.973968953190893 2.90725997773683 1.84487564028609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.330768942336538 0.340954075193787 0.304405901113989 0.275213611815373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.18021513130348 0.18782314162765 0.0875974227608242 0.0872788851584681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.117718358496052 0.123125766876669 0.0368853491572644 0.0385036534903483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.161032714510743 0.169278017795845 0.0761300754866421 0.0627401597143718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0553696454336707 0.0582433466969172 0.00828618582478232 0.00824653510902762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.030354110861737 0.0316048851446075 0.00248397728534833 0.00247130771743589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0196960278027065 0.0206831369202522 0.0010135515702512 0.0011107671396793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.317070943674813 0.330680889030627 0.293607515675236 0.246051793985824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.109540952018848 0.114240165114065 0.0322437093590638 0.0321530895316171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0601116162765459 0.0621800694942033 0.00966006979302048 0.00973768891081272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0388864580974848 0.0405249998386717 0.00397002360085685 0.00427847579089969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.626506215574789 0.650555376526777 1.20775777672335 0.898673672098476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.217961756886263 0.226802925062023 0.129553497689667 0.125189899598453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.119859997743698 0.123625903769999 0.0385922669373311 0.0383879373858103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0775029509713495 0.0805079421348117 0.0159029429344259 0.0168551777828765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.93712045780511 1.95871068699885 13.6503112863741 6.08504355656351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.639001092139581 0.659819564181972 1.24072753489885 0.945524876756893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.355223501523924 0.365251149469403 0.356626442033914 0.320022690021023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.230208942164753 0.238594924234615 0.144501638194839 0.144937487572396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.37860097597727 3.37379517307865 43.2372609070083 15.4418228864236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.05425192212705 1.07176922464568 3.71819826068018 2.1802237848198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.580542519070328 0.591751130505107 1.02220429553283 0.796866242905985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.37786619296313 0.388209258015621 0.411586773773693 0.37255291325452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0545947725921018 0.0516295993762851 0.011260307002023 0.00320300177897231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0140904865604348 0.0142263878628431 0.000555791130615858 0.000472160824952788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.00856901968036759 0.00864232410878489 0.000237762471935609 0.000149608809809614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.00514598183701202 0.00567753606809524 7.02329692153181E-05 0.000111196096858251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0733878730535112 0.0715839522478274 0.0192468860494012 0.00842409602910834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0228131931185626 0.0228219017031627 0.00141954322206604 0.00126744996980727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0127412863227862 0.0129588364992213 0.000494742791303277 0.000364403366481329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00814724631704376 0.00860184998044092 0.000173598537795981 0.000217662736418823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.114516054729876 0.114112507638893 0.0427846835322822 0.0255892173751428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0385990371223077 0.038529301982669 0.00399098626671832 0.00368940682740272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.020778777660964 0.0210817556591559 0.00124447130869415 0.00102723754279093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0136546871862509 0.0139931143828881 0.000487047152712624 0.000537053241582424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.210465170436551 0.21143315075989 0.13344557848301 0.0974051593062392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0732823453362204 0.0731288073255262 0.0142495650051087 0.0134116512449341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.038872005125367 0.039304885661381 0.00417210052243783 0.00373484763111635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0258433061583235 0.0260580663848829 0.00174122596402029 0.00179341776938327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.610471111419265 0.614742840278144 1.10055439338575 0.831964590307746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.216047530670302 0.215609785169142 0.12543428548658 0.115125569982774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.114161891245022 0.115127967714349 0.0350066008437722 0.0328478823376929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0762338197014818 0.0764623652034297 0.0151857573781226 0.0150751168975855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.00209418139676 1.01092778168775 3.12238658077929 2.08517908633616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.358404247916672 0.357897378745558 0.352596814881227 0.309892937793702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.189862016560938 0.191253833189442 0.0968330457341034 0.0903976485629168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.126754569395201 0.127104389698 0.0421492056180159 0.041336456963589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.17424285851472 0.173686016753013 0.0938632815803936 0.0649643813394877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0603209061710427 0.0600315497914697 0.00971406706919467 0.0090995038362061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0323830864018269 0.0319256769931753 0.00293907001155489 0.00245360416096797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0213474388530302 0.0216118628819417 0.00119376818713115 0.00125798792518251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.336022589729559 0.335627894243796 0.334290406239396 0.254825052908948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.118375087185168 0.117447199752365 0.0373743429210561 0.0348588182599544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0631549227808747 0.0619429087671693 0.0108807438951883 0.00950735993814702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0417757973031425 0.0418605089154445 0.00457749684408957 0.00461549911220445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.661986891212208 0.660785479302417 1.31389069392051 0.962411454327736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.235503472996331 0.233021902652277 0.149843203913075 0.135272745030354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.125506528803996 0.122787326168481 0.0426898599522393 0.0377058957683842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0830401739170604 0.0829388455962302 0.0181570689268715 0.0178843846748009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.96315844672958 1.96683851229903 13.506742305162 6.59038619692595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.692145150056721 0.683385057752677 1.39838028130173 1.06724193601116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.373166622985487 0.363722628734881 0.38661662444265 0.323004209326404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.246940290022587 0.245918191226853 0.162995557858209 0.154718473003104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.37667640900594 3.39119201859213 42.4869187050909 16.5424732069841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.12009442104666 1.10636781056238 4.00729538883351 2.50509462400074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.607550211458895 0.594241961721307 1.06726467580065 0.831992477373548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.40366884414388 0.402805175269544 0.447426649792482 0.414185021626983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0544249743506508 0.0671738519068479 0.0113042671988139 0.00541635131965694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0161846472584911 0.0199001114889724 0.000762462979318042 0.000871327653904249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.00873438036630549 0.01113348960272 0.000249154425549679 0.000250512795443145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.00597472232181047 0.00811454718173578 8.10806838534335E-05 0.000225032581727233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0732870937927602 0.0831049990724879 0.0191455005291404 0.0104957013717355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0239593023089091 0.0264703345337337 0.00160828343288106 0.00161322196752438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0128144586212414 0.0146842125968185 0.00050109050484591 0.000466140537589038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00860200614563968 0.0103701660552746 0.000173335591179427 0.000343536538655811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.113185127188561 0.120258204661976 0.0417553232820749 0.0268585092714439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0387503785074907 0.0403421527844968 0.00408460000658905 0.00388556843917883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.020770530438133 0.0221267594552176 0.00123910852494463 0.00112821021335531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0137257674518467 0.0151113917711192 0.000457411500056122 0.000675535901924095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.20646283310533 0.211860228508358 0.128314725724358 0.0961000071171703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.071975098300156 0.0729648197840636 0.0138386189429212 0.0130825035322753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0387727347048994 0.0397863374845465 0.00411802548575486 0.00384703245070679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0254142557813454 0.026423199750088 0.00161756344799838 0.00194989838361071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.598325485242778 0.605119050934296 1.04398774699756 0.829783434809201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.21022497566895 0.211347407611641 0.118000407786499 0.110672469688842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.113774333797255 0.114986557698007 0.0343111126258602 0.0333383636177153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0743063811553801 0.0751593327077559 0.0141723105161747 0.0151138168232203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.985950479469452 0.994977339770838 2.94068098696744 2.1424165632787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.348774116899629 0.350443898556955 0.328940171609584 0.300746418742383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.189024030371528 0.190733230531503 0.0945440986336861 0.0919740835412314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.123349586594324 0.12447119175488 0.0392515893852055 0.0410953309431452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.172158307731283 0.178270876049358 0.0909251700290608 0.0660502903198081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.058984963881939 0.0601783144598793 0.00939421575943471 0.00884498332107754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.032276743503678 0.0332346815939063 0.00289175221565622 0.00262924194855665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0211466696722643 0.0221311553895081 0.00110838353148107 0.00137017637271167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.331424080264577 0.338317878173287 0.32113351285018 0.257674048575369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.114520336099045 0.115403783410678 0.0350678030302517 0.0330538156181881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0627124815072766 0.0635109214544652 0.0105857258240167 0.00993240712138806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0408773661644024 0.0416200400729609 0.00422930197507224 0.00465643070170909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.653709379261646 0.664389441857961 1.25339571990079 0.997276664580073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.227053983441829 0.227977875739622 0.138484602690163 0.128791271971134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.124440127551393 0.125459268121901 0.0413324032705341 0.039340811604352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0809201179145388 0.0817192176254484 0.0167596787693572 0.0175706243217163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.92395621617703 1.94416567878782 12.4949409532248 7.00765550330959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.669046819740581 0.671713272126015 1.26921773091385 1.05751456371513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.369300979343293 0.371514808259738 0.368714810917255 0.341864300777247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.240132905477908 0.241855893248626 0.149345604271478 0.151621366068668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.28247121030995 3.30628861824403 39.2320654384722 17.1389294703821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.08382288141087 1.09056206187783 3.57405011133314 2.58023516127851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.602831474412658 0.606251935218778 1.01107472458375 0.88712973843467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.393264498915232 0.397014500929515 0.404383523468579 0.408014985776588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0272597228053502 0.0091012813453364 0.00247024114004487 0.000188024531787395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00870453930622328 0.00302386828906154 0.000261882604032507 2.18541211313153E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00476673861711789 0.00169594110908066 7.44505701439906E-05 7.4277967502342E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.00325890339816201 0.00124881769956208 3.14598650515503E-05 4.61528850556564E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0582334870581958 0.0344185228912176 0.0101526542978567 0.00290255252215965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0194778148739208 0.0119423718150762 0.0011387371754788 0.000356725567821036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0106667100942943 0.00645082031928841 0.000329921376152885 0.000106714383784909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00714314567319781 0.00429542812899319 0.000141454856674849 4.82742268251506E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.106519146229766 0.0669534006353354 0.0325489234211612 0.0109589576760374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0359126083824177 0.0232765919553934 0.00366141609202123 0.0013618159942448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0196558326872511 0.0125505831549526 0.00107067768481764 0.000403190196906812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0131052907844875 0.00827696618153122 0.000466057276126353 0.000177645504008057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.206921044960721 0.133163054679423 0.121415804312693 0.0420691145869227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0702351759607192 0.0462563114105002 0.0135972494194791 0.00534398390361186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0384346328644818 0.0249206015594726 0.00399443189027745 0.00158108042208225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0255549807044265 0.0163806546763661 0.00175535295368461 0.000691194475375219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.584972943917944 0.413668307838634 1.05595994845746 0.33736133564747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.208170185008583 0.138942296909042 0.119921333655885 0.0460685079965118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.114279966592972 0.0746554108585147 0.0351514042125157 0.0138385497993499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0759259632905033 0.0489382381537982 0.0154434613198122 0.00606194094313967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.929727572691829 0.738151348955918 2.95686209750377 0.90629191544162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.342561058774092 0.233049498125359 0.333388364416452 0.122041524865907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.189394172087337 0.124659488268176 0.0974666840448868 0.0375352595014011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.126175609186386 0.0816101228311711 0.0428737619638314 0.0165812844966607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.169519679043398 0.109316732116265 0.0816919516812023 0.0289540966697728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.057665000266173 0.038293905091797 0.00915043458297773 0.00369041433373974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0314666704479664 0.0205063832551712 0.00271506254372531 0.00107911066641421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0207953979051181 0.0135795034311356 0.0011726607059868 0.000476656493690189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.331400820223714 0.219932532419799 0.317065718740783 0.110005748633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.11422094519043 0.0764836445204533 0.0354812483638091 0.014468343476182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0624008418082473 0.0408979645646392 0.0105101541711693 0.00425019196643258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0412931948678005 0.0270442979742526 0.00460821352657559 0.00187633753383397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.627285117831616 0.457828966576605 1.23885861797992 0.407582212874281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.226837403355222 0.153347534556314 0.141721368072453 0.0558066255737312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.124316670725295 0.0817807408263455 0.0417957491879443 0.0166393399302412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0823414714904973 0.0540376821945186 0.0183102933003525 0.00739219093363873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.77778093327998 1.62589230945521 12.1560022301037 3.6185759200756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.633274228651934 0.481513335189388 1.24652701703341 0.44133005546037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.363424994519779 0.248552798052239 0.375268975920883 0.138474321607103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.244062509730658 0.163426072980063 0.16683018301768 0.0643617987508496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.99877596679688 2.9045943805988 35.9829046998278 10.1260345423447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.998032975518268 0.870075156339241 3.47992537679007 1.17724766384536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.572968156274212 0.4347419914505 1.0113730448013 0.372118230195424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.393187699351937 0.282580839082987 0.450604212505124 0.179575704091845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0393365112746479 0.0305466012501113 0.00890140631859823 0.00308040254427444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0817551514741594 0.0141140337415744 1.32520592278942 0.000875745605323745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.463076079820859 0.0168909576941982 8.98985381553608 0.0122557855180003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.802527513839179 0.0257654822374181 13.8011530503055 0.0377296710803698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0658940358312315 0.0596520262941783 0.0263803862398991 0.0190730530667938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0951501837072559 0.0310020381723302 1.34304043176792 0.0135418241659362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.473704970236125 0.0298999512888435 9.04801413889666 0.0205696482503165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.811971125576724 0.0372764587790394 13.8414405592444 0.0481872492957383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.110900003633072 0.104786082760134 0.0895132469347601 0.0628341370859173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.118754325707625 0.0549551571048704 1.52481935557909 0.0508165600764981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.491793843843679 0.0482499219606741 9.19114614798083 0.0462833426638514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.8317330999641 0.0530778907818971 14.0630983594435 0.0775628884699659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.211302868289907 0.204186199196283 0.347098021062331 0.233025527725576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.163918316594461 0.10382110720523 1.63578715979045 0.180473947287426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.532383166987962 0.0862433382399054 9.78936188980864 0.144897991306549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.877544139519821 0.0828569322542824 14.9961262785717 0.131071560054526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.658411203220795 0.664927249792959 3.7599552974614 2.48043069231713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.35735998795645 0.314118011148914 3.23740816041728 1.84513390436986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.668277340532296 0.260514278488783 11.4395537436011 1.50886819704729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.96621378826734 0.243582532667492 15.6981661986501 1.42901597682295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.12601258603298 1.13250846211351 10.3492413983304 5.90155986479768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.560227278198736 0.525608113205449 5.59673603134759 3.73166196272303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.796969573061449 0.426916980711104 12.7161067734962 3.34368470695815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.07009830802354 0.378334462706629 16.7972579029021 2.34711677409242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.174473063022632 0.165132873075184 0.284496865657903 0.251651222973707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.147011531959409 0.0853645255012328 1.41567216610597 0.165812077220498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.503902887238539 0.0732574526689741 8.96342104763579 0.127063791471438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.831927184956222 0.0721915301302614 13.7174610822664 0.117310260380985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.351620476197525 0.333687428960705 1.30424293847182 0.789860520498076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.224550545152424 0.166889968385554 1.73520272978119 0.810806307993524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.55421294811876 0.13559173107737 9.1868776354344 0.459481829898329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.871003979693411 0.123001762432282 13.8600187519853 0.309699511976784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.719025529221648 0.693309722107833 4.39602561179839 2.05178184442458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.385294896588781 0.329468348050089 3.02883503322605 1.84597926928477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.664731929432524 0.260417741291256 10.2821773761922 1.36331225711695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.954731192090223 0.220960000004785 14.6842284135 0.81382228443843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.37734810966367 2.43522283192782 42.3418043014242 32.7557008502284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.16058676338514 1.21506184094913 17.8631745200777 16.8497838835947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.2372142318165 0.972380422581285 21.4992374453657 12.3887627435104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.43933540944782 0.864172111461116 25.1571312625389 8.72174524408666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.59022530131375 4.69829472375297 152.337892726062 99.9931688494073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.35671348595013 2.46131335961296 53.6307139841977 38.967088572124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.21142436028964 1.960091070968 49.5004965415249 25.851272597862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.31956337567552 1.76270118427888 50.5774504161348 18.7103995248877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0195880150315314 0.0273058736769051 0.00282394999539158 0.189733753350266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0487250706381468 0.118864302540211 0.380715170989881 1.84951539524974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.18260162818316 0.353850031894925 1.55014832894759 4.20971917762627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.293249663498722 0.5556784760043 2.19482006979019 5.35334285753146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0558202315578008 0.0561407569985749 0.121033364123938 0.212218111068994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0697872404795874 0.13566075291658 0.409112799169556 1.88000563823605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.20506138972189 0.369097611462111 1.63902959636545 4.26752649685354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.314149026595623 0.569773085062541 2.28968882968692 5.40824443309529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.102048452797302 0.0964049641721946 0.402169399824753 0.303111703744454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0947114069598402 0.157006088227129 0.497100256484552 1.94377589167873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.229439337262635 0.387361206705401 1.79493160709868 4.36298915200863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.336174328688181 0.586436950108631 2.42634926255494 5.49103778703354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.194687807895619 0.182945532271211 1.14051309234669 1.05521971315652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.144333178378434 0.201747269211183 0.793263009577468 2.16536444616415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.276017558989485 0.4289817615338 2.24170034440892 4.88452199080502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.379250371591529 0.626272891491217 2.78819846601151 5.94070978956982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.545251627848788 0.528754839703915 4.85394329614389 4.93178966540305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.340987392982394 0.399158855085569 2.98924913345566 4.54502362473714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.423808530391517 0.596388242073545 3.55716992247789 7.21081206878593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.516413848071347 0.774193148960824 4.02845627315793 7.58706632449368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.905601942521922 0.985576035650683 9.98504025638775 17.0126173001202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.538691339210497 0.662035391804924 5.63788364160165 8.45836834895587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.58559526342866 0.83756117126479 5.64459886308238 10.3836127003937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.67021451496491 1.00617648558915 6.14142759624454 10.0701786478263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.151962256412077 0.149250953828204 0.261078605895847 0.557684589170971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.119603617706969 0.186714770447587 0.527043240264707 1.97312941142408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.239858836048548 0.410431357109466 1.69771661922278 4.26265139075842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.337696281242318 0.602678791411877 2.2454553810829 5.32291372062441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.297403642520865 0.288029397649472 1.10097498851147 1.43785878160298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.196030145706264 0.263124327634654 0.962935833804727 2.38295351555925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.295501685859094 0.478385826891773 2.01659205632095 4.61331517274881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.377973205151457 0.657532946902537 2.4005064001831 5.45382296329073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.590193772687805 0.570773208633817 5.51515601451652 4.02987866786773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.355829000722307 0.416385610687542 3.05109851004968 3.67638626014501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.421010836093649 0.593527960188798 3.72295417823738 5.36068515430234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.477251218230173 0.753809427442563 3.54788857834601 5.89613841292356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.98957937844752 2.14333979795623 42.4657521641543 46.0122714545987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.12212747277221 1.26258789708157 18.8122007363244 19.0128508492519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.999843290343563 1.32927167971762 13.7498696572612 18.2953250327572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.987626294091089 1.49344357570687 11.2878704760894 18.9307910211021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.98315037797057 4.64582081585117 132.787002873498 142.833220619116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.37398322128689 3.10628539920253 54.2448130697636 63.3414743518865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.01040356710846 2.93107818642598 37.511426065519 43.9032125397398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.9350371796681 2.95052218035235 32.4931739620585 35.2008020998366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0337952326758689 0.0232815886000803 0.323115430884954 0.00189761732266929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.193697922169283 0.0147343276233318 4.92262923931346 0.00244309122355286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.622302380525191 0.025774234739567 13.2578448551419 0.016444039959408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.995103299561938 0.0407804159870767 19.3673691377174 0.033699842670274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0534580386184882 0.0621243945151206 0.318062021915814 0.0422841140850362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.204040545465858 0.0365777880110329 4.92940172744466 0.0191389582082565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.632871615039099 0.04417120219854 13.3212446127169 0.0303671743463593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.00575467522639 0.0575552226062619 19.4382161577742 0.0461030338796906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0873020536775801 0.112312632383176 0.350730862097256 0.162719418368303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.220446716735186 0.0628055391996064 4.95059164879374 0.0651600233402733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.648438050767573 0.0650198456956855 13.4385497337363 0.0656727055034334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.02101508410918 0.0764883481648042 19.5672720382023 0.076078664195217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.166798170256834 0.21102670591524 0.706290934018029 0.673614294629686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.261194103601402 0.114323730621934 5.18041955639355 0.235087908386153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.688176824996101 0.105636868188151 13.9307428528547 0.198986403169306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.06003803124278 0.113107388637963 20.0821376319223 0.183013893811963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.532455992179649 0.604828612299821 4.69643347330811 5.02593350477684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.426138369392944 0.319723538835709 6.7723287167526 1.98308732226439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.817340186826766 0.293940708325912 16.1275477649201 2.26803335844571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.17688306986337 0.296440373915855 22.1437119096629 1.88400225582419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.941300667568087 1.00832767476254 12.9089209276261 8.65598302776049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.607696091594509 0.526973761047044 9.32226679044942 4.99186641997739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.93319869841947 0.476584813188354 18.048058802155 4.56899684421832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.24935679871687 0.465136071077423 22.7801957943835 3.46757343859145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.141716360658496 0.172613584161246 0.697712888976603 0.410928137830333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.247977502429423 0.0989270920495094 5.14787908388369 0.18827540919986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.655510507664809 0.0902099846135931 13.2648153467581 0.113232276113326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.01145519792161 0.102080289669795 19.1656493892602 0.143532621415087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.286739323425047 0.33030729166052 2.1371408312782 2.12084652335026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.318079582654003 0.18843026325224 5.87473315884304 0.925940929708945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.706371148891474 0.163810424999043 13.7445031981 0.502214048955178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.05381675826311 0.179186682160867 19.6889566420103 0.672864069946173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.600160547009484 0.68658581226408 6.51549252311475 7.71126883964581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.463660302050208 0.377303025582947 7.89248511324907 2.98144963414528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.806606211612807 0.347674900612047 14.9921399644951 2.57255258174063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.1189150871494 0.354669489584243 20.3096895618143 2.32021534046764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.12099702427869 2.27604541160514 48.5086627741314 40.2463125423659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.22548889002489 1.23403737114821 24.2776022692936 16.2399348126782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.4316747777476 1.06147787665924 28.4624889716442 11.8612986577703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.62593867050079 1.00079965952944 29.6901339024316 8.82350789040119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.07317832318795 4.56242821617262 144.348304912516 113.823793228947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.2829593144115 2.68582781772346 57.8792134141389 45.2208648093644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.20361313228565 2.250977698028 48.7491040927186 28.1316828820002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.26294433700479 2.10447425813711 45.8595083884544 20.0159131135718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0841772639980582 0.0909712438188153 0.219144753947425 0.170040029578435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0964122381021268 0.107124353082832 2.37366959460098 2.51342250359762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.40485257252265 0.435268129107578 9.84829220869224 10.6981960229895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.730531645724012 0.817165025520595 14.9438812319253 16.7948044553708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.102337901361033 0.11082487500795 0.236271626328699 0.196729622514104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.10963528568743 0.120735762420177 2.40013179622957 2.53273722797647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.417888428090288 0.447740566961277 9.88325098590277 10.6970228275881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.74013589348869 0.827616677286288 14.9372235057206 16.770857514545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.138516089475147 0.148170868986554 0.289358907636931 0.284742516992958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.129555706352673 0.141609349312915 2.4485057381544 2.57464733784619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.435410082577361 0.465172524872129 9.95536618264748 10.7130191526039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.753271033204909 0.841603504318549 14.9691215856093 16.7607001531197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.229121273315929 0.243032955147986 0.522640542822418 0.693362693995105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.176590436386409 0.188697162733619 2.61089594302012 2.71604839832625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.473204314204637 0.504666226922747 10.1552343108061 10.8670393917119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.782268864771186 0.872089915255683 15.0980931950638 16.781268964756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.635491701023201 0.65490363048737 3.32402892506349 2.92025902077517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.37538914039644 0.390739052851154 3.95387044430879 4.37421685306238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.628628103490601 0.654311916695335 11.470145150593 11.6171068681427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.910837699561367 0.985629927626837 16.42478449008 16.7295018558671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.05447464216414 1.05498221811287 9.50279512905806 6.04746590947914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.58809862164667 0.598550244983051 7.25085877513276 6.67120894788853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.830341198191878 0.790690669739858 17.0647234020348 12.3826662771742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.10477111901302 1.09466643749496 22.015111974417 17.3242926434584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.198502421392682 0.210576378572491 0.561063975013074 0.608918030107541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.156831065207276 0.170683039524865 2.49656776468532 2.69509693458831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.453543988543052 0.492912576288866 9.96808431717776 10.9820622875732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.774900851460329 0.865696020583552 15.1854221892251 16.9036611818257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.358945324808927 0.379557131435798 1.46811011521235 1.48014716910363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.232384796537954 0.251733421059416 2.77656734207011 3.05523970261925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.510807615490213 0.553055386525815 10.1851010651692 11.1188412896607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.820633364770744 0.916944804544839 15.3780658757518 17.0900346780442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.693183901031292 0.75297222239346 4.3727919019922 7.88987728555595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.386229336735384 0.439639201976811 3.76555420882416 5.32921167828614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.63174660938664 0.688474626783396 11.1506573910011 12.0722218164732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.9136307035585 1.02455116317118 15.8879168821596 17.7360866524003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.36988633824266 2.15762931917934 70.4773884837269 27.219861112209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.3022961534367 1.12280427753981 25.6560143097368 14.8740850138236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.33174698654948 1.22319031790579 24.6556895692124 18.2252067077881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.50395239980603 1.53700627911024 24.8813060834482 23.7348267292957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.41995210274921 4.27108442481785 177.391848217846 92.3108021680576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.34567505167956 2.20653745620262 61.8166654970147 38.5509897336295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.07989099022779 2.08218709300021 44.9873128151748 31.5975845263777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.20031157909712 2.32633345977262 43.0935982878318 33.646100732795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0312322365625929 0.0306831764288465 0.0224886331121424 0.00308600582810633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0752045658577255 0.0668481717334077 1.05244402804306 0.688163949278832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.279523516813028 0.302991901541502 3.73959915504983 3.73766825981348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.457148581271832 0.533086168862583 5.02878867657836 5.68546194824146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0568908697525821 0.062367655096318 0.0566068094096617 0.0431275234586945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0895630733838121 0.0869822775863119 1.06712006281503 0.714357379661813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.289263284781473 0.320395549190932 3.74054804654103 3.78226640842331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.46445804679009 0.550298408418135 5.01849523662409 5.77868546124777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.096407270772959 0.108019163006494 0.15894278608072 0.155341724262787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.108900392849007 0.111776545705225 1.10238406986872 0.761233693918189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.302694020292535 0.339265151173523 3.76495702094069 3.83674193401974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.474684090384723 0.567771481624566 5.03954295585871 5.88299434759016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.181606427266916 0.203726290675933 0.531284612498236 0.563762315667581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.150701869486884 0.161613079674408 1.24169653952195 0.903685274144099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.332357230791781 0.376690525759082 3.89969332671086 3.99330772497995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.497587671306501 0.60435526574144 5.2000758791026 6.21643211559545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.524337062455325 0.584786925550528 3.36816790897665 4.0924111477639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.323839031256666 0.363280578909047 2.49493506937356 2.45420540860812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.450874283228084 0.533409044185433 4.95802570203304 5.12070565263469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.584527673678559 0.727942115063318 5.8434779450985 6.88784878826344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.891156704047619 0.98680308259437 7.72621126087037 12.6209263850337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.525579141091409 0.585030068220121 5.46128215146318 6.73605408587377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.6118892351763 0.711557046382275 7.27845268451791 7.71359205309745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.734116448961576 0.879337429838924 7.89521753158775 8.90212487858485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.147394010713789 0.164977250142013 0.257949420033358 0.310861460210085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.137352939907549 0.139054276089279 1.14475507899906 0.823909902650883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.332846645937283 0.358952760064861 3.95154801100033 3.84276741616869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.505055945300626 0.580944644436845 5.27394498651893 5.76211018097408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.289217730313864 0.319894396745402 1.04873209489981 1.10684740198049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.211871469039861 0.214413088191334 1.58482417275937 1.13770987118296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.391273326374495 0.419794457080811 4.36273264903696 4.16052944550951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.556790718110124 0.634587532956665 5.7028509246471 6.02899884487659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.583736325073884 0.623555005832774 4.63400126918267 3.96727923164835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.365371419334864 0.363381976158555 3.34271377384234 2.0871736300401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.504796007035862 0.544032970052768 5.50250143640134 5.21008435025205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.644988091025452 0.752295448656633 6.54279145553216 7.06879850008861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.1275788497751 2.05537283322871 58.1556227419754 32.5109513211797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.19094237375438 1.12186582635842 23.1724890367852 17.7933373070676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.15121921326614 1.26179116615865 18.1279208542356 22.2179412417535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.21893638554044 1.49860766315237 16.527430944616 23.9328862759782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.00669742653675 4.27865379921955 142.898266153935 105.035591174839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.15426275217436 2.43256745780766 51.394039835277 40.0654851724631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.90058068025514 2.13469452899548 38.0375757883105 26.0311213050698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.95519229760764 2.19549730267932 34.542206811663 22.7831297676886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0447358562737944 0.0463813838500774 0.118484133362932 0.00743842697994234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.103255224410375 0.0669963858991477 2.06955205723404 0.933094820868989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.449613854479967 0.241383342962746 9.27006608416095 3.23340836362419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.754680754423476 0.41431431836656 14.201539103776 4.40948079262269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0705378292331061 0.0706146117029027 0.155109374913513 0.0242620671676201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.117888934882212 0.0820602062090473 2.08848515302299 0.95835646053933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.458149209835386 0.253982437011428 9.14018186898527 3.25905656265201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.75813405410045 0.427403441872104 13.9532000559049 4.45436545624923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.113179904441131 0.111890620918208 0.269224025165608 0.0749575486844865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.13927137392454 0.102975752576889 2.13692335468208 0.990668916338215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.470982991709134 0.270403820406272 9.05794137612735 3.29605294792268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.764539854693978 0.444705268319874 13.7520291584468 4.57551081769885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.207124997245606 0.204772826986955 0.683346252584131 0.283236114018006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.185821006422577 0.148193052467492 2.31564896364918 1.10454805171168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.500079140705576 0.304802802044784 9.02547065819196 3.41116273459374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.779532157281082 0.478292659153024 13.4502167923448 4.75590005117673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.595963002493508 0.589331198980844 4.63210541500406 2.14170950971875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.382312575126865 0.337751212024335 4.18421410214174 2.26795411497906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.628123259031084 0.44761895117909 10.0361790921128 4.34858335010179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.855914307045052 0.61012896154815 13.4138075976143 5.67208633958041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.97297505616366 0.983216953578229 9.14227752184482 6.60627172362323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.567272418025069 0.539714761614225 6.56167214234201 5.20729373853102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.765943109567532 0.617513729029397 12.1040230937648 6.66024072267327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.975900657689457 0.747397080781825 15.2896532625794 7.09174010122636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.169003466602592 0.172234930614118 0.452741638699823 0.181088677182248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.164255965354151 0.13297702989152 2.09706440950269 1.00195098241136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.493990909745936 0.296137698091778 9.28340355759061 3.49281830118125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.787861230579527 0.461217055017482 14.1081433196579 4.55564473179543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.326548388800542 0.331305224875255 1.34849934202186 0.743767585730252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.237479569890816 0.211016012976472 2.33701294089737 1.26141468580495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.545515006446327 0.352626194725235 9.50360173579128 3.72543859245903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.82350527387729 0.514260007461523 14.1274938182108 4.88355790839549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.645535639624022 0.648111649312764 5.11036712417469 2.8310780408561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.388584539602629 0.36668584807718 3.49885930610773 2.2851968256412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.651043797024914 0.466934855369993 10.539902115795 4.37807926906234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.900124914503035 0.620319032535832 14.6771395155842 5.71712464185504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.18188457819771 2.06209086479805 46.272737077509 23.9779576139148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.18846971914941 1.05753728034181 24.4868261113305 12.9869546421563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.34280645738563 1.03021047331279 33.3875894657514 13.7611906711011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.63050776866117 1.13355667616685 42.6351563443345 13.4663286783463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.43136288588141 4.42615769160443 163.502136538335 124.92433553474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.47460884531528 2.39133916588969 65.4190080091736 46.3199085095722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.27011305549254 2.16435481490259 51.4974381065531 34.9630435355204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.3183953498926 2.20452465607266 51.3793863245656 30.8322021895688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0558152412627184 0.0620720657721354 0.0615954605753893 0.0270626623136108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0863834601914101 0.0673588521217769 1.39822043901546 0.671250237283714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.346432145098383 0.294123378986953 6.98010794611183 4.9892473938611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.616391621059687 0.541145042857824 11.1803736418459 7.89406692831614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0805091585153956 0.0866296930826951 0.0861920984789515 0.0911825648667384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.10191544817751 0.0833428649192489 1.43111427648215 0.686813422433123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.35876745090151 0.309247309380306 7.02079530460793 5.0298642867181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.630212967916038 0.554660412420288 11.2713890710043 7.90825304954388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.123181318374864 0.129203518292843 0.166462020491487 0.16499396946924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.125308773623319 0.106994971850372 1.55932279327735 0.734814378587386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.375954136351151 0.327541185199144 7.11925625091485 5.07792009097779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.647915167352764 0.570914785449812 11.4435142450277 7.94449467327303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.220055378251719 0.227639742328476 0.493516522392938 0.367098667324018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.174753354299317 0.159176443507231 1.92861461699998 0.930677482479428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.410572254499885 0.365212705641691 7.3170163824038 5.21258159044962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.680415893588735 0.603709765203772 11.7476070783947 8.08954651186072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.620971458906047 0.643432695378875 3.19546193093711 3.23183689422118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.35924741443487 0.366633272622242 3.26044094535645 2.4826011783847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.541193873576163 0.524695665793999 8.17634045849177 6.51782398323689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.794348307231685 0.747076017416612 12.7521299845083 9.47815426766431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.02732774521714 1.05876564317791 9.45364699271783 8.13820929893583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.554313475926523 0.574944112387447 6.12625289294692 4.92152131875942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.694733424746879 0.696911601090517 10.5285472242657 8.498861228955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.932291935460155 0.920656587431309 15.1035930990275 11.6517761156411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.187777594731951 0.191030258841496 0.437886245777513 0.27118500499124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.153660086526427 0.13537811678024 1.60201060013926 0.792385975471755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.401661948709123 0.34554824711044 7.31485668996714 5.02279667016316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.664327742536412 0.582612317954371 11.5384011017423 7.85742750127422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.358444415592934 0.359862737506937 1.67820570433927 1.00839199229626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.236165226999048 0.215880574925883 2.13204878106261 1.1024857518235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.465825987551518 0.400673674676422 7.85363487674989 5.13133928777653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.715872156208651 0.628325121559608 12.0107048165795 7.89044804320375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.693257095725063 0.715005231394842 4.99552690098641 5.76358220233276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.403943544502375 0.384581217439931 3.97793603589248 2.58446419191226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.593435768423546 0.519326914032395 9.50602847971549 5.8380358570895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.822221465187366 0.729893950962039 13.3340213046249 8.44398333418414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.14568133521663 2.20282523882878 32.8551337744136 29.720109981165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.09215531998752 1.07675705915233 17.2096392369213 14.5789858024552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.13820723693188 1.0839056192569 20.4834149545575 14.5432071326316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.34512395703639 1.16622520565871 24.8124188336816 13.7474150495972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.28575877833491 4.4475430915955 139.186865577278 104.493492026363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.21520302931442 2.23436005458729 54.5986613326786 40.8309801329154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.14895424857089 2.04138029941307 60.8439143207916 34.5079018385029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.28461737957531 2.08723967288781 60.7661737178319 31.4160428080343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0756157138062743 0.0712026890650185 0.0194833076933034 0.00972960931265144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0714231229559099 0.0863742975113317 1.01999296872646 1.69419561249091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.427931568944387 0.384127874886874 10.5365962195108 8.39089173385118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.793541890839704 0.733495834757082 17.6105956966412 13.2706459843987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0973313421376834 0.0932980896439971 0.0523562768020197 0.0379571528544459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0857756371763343 0.101532470551799 1.04290467074122 1.72537529169606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.440429150685983 0.397634396841594 10.5599284693332 8.413152445138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.806143682621203 0.747077818693909 17.6558700158992 13.3077779442737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.139882641772352 0.13480360894611 0.448847129724886 0.139214733367318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.10870166165347 0.124285088750786 1.10214182936635 1.79304017257507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.459325127447379 0.415525097326825 10.6696614223439 8.46288926932917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.82307536465129 0.764839569039938 17.7450777827765 13.3872507526339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.240317758642996 0.236010175742297 1.78987694425258 0.677451284849702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.166710027756374 0.175794599552133 2.00215494692637 2.09923908028539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.502874883314901 0.45453086008112 11.1880608750318 8.64968347776737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.862510517643539 0.801764357134427 18.1882324671984 13.6443527156428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.655055698867921 0.704984710230163 3.37968256006851 5.9394921206359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.37635501997088 0.425589672176977 3.10465292014634 4.41255583456063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.663508535590131 0.651770982577981 12.4362608166285 10.2128450084259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.01142719265263 0.985435357334032 20.1685243312701 15.2517197062684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.15365177135782 1.13335268096772 19.4540154708046 10.6311786915231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.660310491831001 0.632835540921812 8.84690347916193 7.15035624943124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.913032326689269 0.809341231803245 18.0073650151501 12.237531194316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.24464974905719 1.11656166504265 24.3672253553494 16.8795842592355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.203605897968625 0.19494412315896 0.621814449044583 0.246547194213196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.141216665516239 0.154879228158878 1.21958532910669 1.88651406195094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.48398807291262 0.44041821428517 10.7969076949118 8.60727130646515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.841406550313283 0.780057766580235 17.8627830608424 13.2892024112174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.373345546396504 0.364858066903368 1.41801539342923 0.929883585777977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.22811610076512 0.237681903272636 1.79521034864403 2.31625357356855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.54855164807715 0.503789051299081 11.3055918341276 8.96206883783897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.89690394523185 0.82845899421786 18.4443522848148 13.3300857120487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.722219599017429 0.711201994204233 4.81839394659703 3.61666124900661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.407387434565556 0.410732581337075 4.10547853437793 4.10893098092927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.683069185773797 0.63043199548508 13.4285434318598 10.1949382701024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.02053813504218 0.933972930090871 20.8993842533023 14.0613831766237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.2964829177886 2.31947508808462 54.5484166108862 36.0021147578751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.21874344962065 1.19409009123182 22.6163573760031 17.2203427510261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.31168225414492 1.29644201378525 26.1636845211838 21.5272735933764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.56415962159207 1.46493703133965 30.1080319504785 21.4492675657351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.55317395559618 4.43680606456229 199.901532945398 85.1712357206631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.44060862062667 2.19250970718635 82.3737575238019 34.4333519019406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.32736737388949 2.13029597456912 64.8541355257263 39.0503508211657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.45073753885712 2.30079133425632 59.4251910570807 42.9569952868844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0894273816095717 0.0963790123381624 0.0379286628467287 0.0204064649370276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.10959699845891 0.131255121326766 2.22944118782908 3.43179033760239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.410484442136906 0.533900281959347 10.1087029876036 14.7895152196813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.716659672144228 0.878719924656264 15.9597527676832 20.0557264373643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.109919218306954 0.115447706122895 0.0862697703794944 0.0460512882216925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.123383276337066 0.144365584483334 2.24761697523607 3.44569861843153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.425696625550887 0.546432327156908 10.1636820871794 14.7414550881027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.729958348956974 0.889110700042919 15.9916042755939 19.9990056533752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.14800085048801 0.151706728054906 0.197640978622514 0.125465914334706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.144735759339381 0.164980657855291 2.29137306112235 3.49094812108853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.445208441405752 0.563722914377145 10.2734051297341 14.7157551094311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.747363193592628 0.903103663091244 16.0726138263252 19.9627185186422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.242543137443826 0.24343739469106 0.560772188047153 0.450027814713866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.193752799329977 0.212518745604186 2.45350712724622 3.66151548048814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.485272252551295 0.602708845413262 10.4859880385525 14.7417219193242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.781911347892106 0.934214273562725 16.2507444987111 19.9321951872981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.651287003191671 0.659266110932712 3.01087682729444 3.58328556297474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.40750014179461 0.411890755078587 4.15575963474854 5.14944989097575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.683246824887931 0.736690989794888 14.0528493322694 15.0271063247211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.9598313653363 1.01579470683402 18.9732080499422 19.387147169292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.06500988507431 1.10552372399522 8.13878031210069 11.0900837052053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.620486575127295 0.6271712377369 7.18199148181449 7.55729750317741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.84775571150903 0.906168722298478 16.1040264452155 16.6771596152398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.08609003195587 1.16396798529872 20.332301425896 20.6929338725534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.205488421282923 0.214168641156102 0.415260710063333 0.419196230910418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.176403192466023 0.198529254728033 2.41614635412216 3.70716544084057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.471388831829669 0.590193142989314 10.4376810769107 15.0532149529519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.771162763778453 0.929236605134538 16.3349321954562 20.3029052561939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.369496525847265 0.387887123864645 1.0803593700602 1.69300565908149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.259630305763604 0.289391738279732 2.90646902230924 4.83146594506766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.541036452380897 0.659527632858165 11.0001585166364 15.5875766979841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.830587075258499 0.987885473125226 16.8978057205841 20.6341597778721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.710920514760873 0.749641410095093 4.29836372212213 6.86412470643735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.435864199201739 0.449128721183927 5.08872709961591 5.73138284784813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.6756084635028 0.797073053269189 12.6350365303464 16.8858164911936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.944457457400037 1.1070186486878 18.3530181483707 21.5739238789585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.13075483428012 2.2277691536686 31.4784349823401 33.1597426764661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.14975182838224 1.15175350779635 19.7557083744222 15.353325633528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.25430071442183 1.33634320671598 27.492320011244 23.3641416809279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.44763443930502 1.58888504343824 30.1727062104153 27.0405650789535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.18298295880488 4.14746922458914 125.155621935253 76.6630537481245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.2046050367022 2.10347786792965 50.5008917501653 35.0389577236728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.03338844420123 2.25295591187075 44.0189983837469 44.4690406246893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.06536122355877 2.54021754102006 41.5406426854848 50.9294109431534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.04664491012857 0.0168255003083981 0.0078014932958053 0.000842217876455211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0407313501329146 0.015702776716651 0.393699914055771 0.0490402903228681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.187062001945421 0.0584215450346838 2.70035015828617 0.21053169842557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.379999490714931 0.103959349084027 5.25678114148007 0.307431789275523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0772328479158162 0.0435523170892067 0.034255497674685 0.0659443784479217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0601260161428878 0.0284972567200217 0.415246804857583 0.0689741789386833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.203426559550819 0.0661694110957017 2.73868636027857 0.212656770259216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.395735657606382 0.109728764764819 5.31914797098791 0.308699405753141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.125493348616371 0.0841795605292234 0.110963632772545 0.405667329201888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0858562175772256 0.0484342029337134 0.462883772625555 0.2050497955612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.223672294286525 0.0803255242494506 2.79893783238168 0.27816150211468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.414334568477545 0.121773509623166 5.40233327986859 0.363589790013333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.23114219941804 0.169394327233723 0.438445611198754 2.08314550612265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.140573218654805 0.0897264380121059 0.644236357592218 0.586060813338777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.269888398162368 0.112915194348616 2.99039472768936 0.604483151085824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.457474742412054 0.150811172391744 5.63479722068869 0.576902435447911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.642322800357977 0.496574809267584 3.57746887871385 3.58790723626678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.363640899943735 0.261168683342575 2.96853161846175 2.04490231952826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.472878910017474 0.254982692384304 5.27520697810097 1.67054209179626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.654341673009227 0.285454024430605 8.03407158553988 1.5277256626242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.02589956707987 0.940496918280295 9.24737932406947 13.4887308814735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.567964161541293 0.501424867160377 5.54147073992611 6.03223324486434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.655940123500121 0.459950587025269 8.02602099158441 3.89215865757887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.831995787751803 0.480823582618235 11.0357919660937 3.14876852299656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.203962289080434 0.123600313084152 1.32907664142224 0.133937712915555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.122492208597397 0.0686763328169791 0.73468721809893 0.148196884113718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.25821294493666 0.098252939465082 3.0683463470328 0.243473748728322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.441997774863341 0.139104330893712 5.37594264303675 0.335727537667336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.374293098690779 0.252424214456512 1.69558112877141 0.610587253810513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.209548327236644 0.13421093860657 1.10193704174138 0.393015905482687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.329415047704308 0.151340824704489 3.37262629662714 0.446837617921902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.50995932926783 0.186408554050695 5.84920012419179 0.521942811065602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.698134575747149 0.532610512630675 4.34218350748846 2.59366779226057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.384786060283537 0.276249455042677 2.7546508958211 1.73031400423577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.470083796965988 0.272863799843708 4.69722402811852 1.53209093573308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.632812880816583 0.304051913777943 7.11216212136962 1.58761653329992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.05731010416427 2.19725578580416 36.7529999455968 45.147262280637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.08845583120717 1.11156000439163 17.3208588242769 15.8584801765934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.09195638338756 1.03741577991361 16.8070993055225 12.8789206730604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.25097264417701 0.991715070115866 19.0897142894769 8.98496391326445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.04807457692 4.51774365704116 122.282737333986 129.680823488412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.19156139445162 2.50238719406465 51.0548066209426 42.1832910631455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.12598448346836 2.25405203363838 50.7703853997676 31.9857426339867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.32637277058292 2.17518460586967 60.0320911570163 27.3698006487634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.17159448992391 0.171592631755458 0.0780841327826691 0.17702430197911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.429586040985483 0.428661689122199 0.281562758285053 0.959080893773637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.683024926481669 0.681952169944147 0.627574569495797 2.24689511755727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.807658266247033 0.80673056500569 0.93202296740307 2.93182107197675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.171630104905598 0.171641421537138 0.0781044454310124 0.177098229470586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.429603541465668 0.428683551319158 0.281585111127323 0.959246978473555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.683075063089281 0.681917960699281 0.627581139401998 2.24669050409449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.807604359055409 0.806689259877237 0.931818013264995 2.93147683873654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.173036080527888 0.175622128245609 0.0795953003255299 0.19147772411739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.431756870534295 0.428547400148387 0.283925389645778 0.954276972162866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.68484337314808 0.679760326350619 0.629152665804682 2.23181477097895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.807532287853317 0.805480011283718 0.928199330619895 2.92040652827615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.173315333709305 0.17596658355199 0.0796925786724609 0.191831173450008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.431859099037024 0.428662816955534 0.28422738626965 0.954722525555417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.684935449792103 0.679826162273047 0.629187430065313 2.23214988076007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.80758657780383 0.805407382395868 0.928344778396339 2.92002242390246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.178414864230919 0.182594722164705 0.0867305006939595 0.217022548138294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.433176279619216 0.433019472835712 0.28628476054311 0.966993483355328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.685125272548835 0.683872083577719 0.63033177805162 2.24533404116459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.807299245063869 0.806588262007441 0.929734787983962 2.92180581006572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.190279263502605 0.198520708448733 0.114110578156675 0.270256717246511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.436187232099204 0.437479734086527 0.293182062596074 0.974681532615993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.685213940287449 0.68246860473814 0.636001846141308 2.21915281803004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.807807633761961 0.803821424055187 0.935191362768522 2.88802242254204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.171851155896584 0.172016563951761 0.0781861758913862 0.177499180786024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.429590983442162 0.428793307519771 0.281526516226862 0.959452286694874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.683064394593211 0.682000550312003 0.627540161995069 2.24722024242591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.807500810734342 0.806727293491289 0.932108284756506 2.93195320763113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.176018965076348 0.172959080330211 0.091941511558133 0.17850101055525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.431996695541697 0.42929629728118 0.286807190392451 0.961280888996277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.68377809436142 0.683222141173956 0.630238461513159 2.25365201129297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.806472023115251 0.808181571183537 0.931618174123803 2.94178438318778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.175723590961052 0.183305507832274 0.0793159463082544 0.208387897693384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.431405697831566 0.434057511752221 0.282201640445915 0.968197962490573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.687054716494678 0.683242232644192 0.628772672540847 2.24651378349698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.811178610706092 0.804481785579348 0.934915214539982 2.91398755727332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.254913192610871 0.229116300941881 0.336441832692767 0.319630672857233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.458485148318392 0.453730190354312 0.35039816393451 1.0277579487723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.68677571143966 0.690245602486224 0.67166330729193 2.26648380563737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.802472162733635 0.806579680621297 0.955936413996755 2.92420793034355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.321595553977224 0.30469428079039 0.565775936697764 0.533453895219579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.48773700655776 0.479604390781345 0.419297036758253 1.09225337817694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.697279548352632 0.695090757447662 0.709941766256116 2.25522290868232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.80358433968608 0.804771530113771 0.971809090350927 2.88272852429555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.563829084498085 0.563847315140382 0.895256553203522 1.6488115162001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax CSMEstimator(RangeKEdge 4) 1.07962295360583 1.07965737119764 1.85997144658386 5.76995050218659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax CSMEstimator(RangeKEdge 6) 1.53199762363352 1.53161263414822 2.38115169426465 11.1082369360239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax CSMEstimator(RangeKEdge 8) 1.60833794841526 1.60747629455968 3.18691007724075 12.3548450279359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.566199848298672 0.565440453064332 0.901976509013745 1.65508829704001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 1.08198772063873 1.07903971735733 1.86293973483576 5.76462901411376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 1.53305713977755 1.52877235147652 2.38156773907684 11.0715806416063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.6093023357938 1.60394982683286 3.18766863934625 12.3062306910316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.563782829697917 0.563854078822329 0.895357973276359 1.64913514120968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 1.07949646276912 1.07992818842551 1.86005836743212 5.77269804041578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 1.53202377276309 1.53153972999943 2.38117135592115 11.1072646142849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.60830214172468 1.60744222683412 3.18678228948091 12.3544952280124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.566210411564964 0.570315291403029 0.902885996642381 1.69438806587959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 1.0831047215219 1.0836993955111 1.8714356498332 5.80313081648709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 1.5300082734965 1.53175773446849 2.38569831573193 11.108453156444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.60704592653684 1.60753924315588 3.1897836665986 12.3502459096629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.579419579259213 0.578259804880459 0.974225864340827 1.74443108817985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.08946950216763 1.08960870548678 1.89802665521669 5.86419168732454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.52580094193969 1.53391993447518 2.40068513846812 11.1378068058828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.60251620835476 1.61132561708852 3.20134485874199 12.3980715026413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.59820027963998 0.597086094903536 1.0769443280798 1.87658559108874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.09374386157053 1.09987810609677 1.93996128909749 5.96324659781334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.51513018168264 1.53411052775828 2.43833467884488 11.1430516494852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.59289341808396 1.6121228646776 3.21630986206612 12.4065554144257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.572396003274648 0.571674598547406 0.942578356969042 1.68996151986931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 1.08252658641907 1.08409601565018 1.86836310113471 5.79747889187419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 1.529298103493 1.52843772230345 2.37910034923467 11.0668106778431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.60764752546447 1.60527975524298 3.19102530536421 12.3160505334371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.581796130744476 0.58053598311116 0.98943510794313 1.72880825816931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 1.08697092064604 1.08548158725752 1.88111483798138 5.80195213552234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 1.52713446274876 1.52526373640606 2.3890365233322 11.0236910296769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.60607595481295 1.60502045018376 3.19512655460396 12.3075996645758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.582240540641468 0.57843537166477 1.00117579964931 1.73543513071904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 1.08410174012834 1.09291779835731 1.88349967616087 5.89572683797595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 1.52289661018649 1.5344653403433 2.39258301365897 11.1470929341828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.59972505293068 1.6125175582247 3.19776639942007 12.4169919624464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.639393842619537 0.652565478619465 1.29759435167994 2.20866428849616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.10594870557424 1.12268505279776 1.98688286669956 6.1222243335893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.50532529384437 1.53174306267044 2.44908391312973 11.0644282528522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.59469269577935 1.61750009677676 3.24765102978888 12.4321626789767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.707124530453774 0.727649192036603 1.5812177347558 2.56570936888287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.13244213535663 1.14286014816638 2.08336760688948 6.24638191317103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.49856837655776 1.51074649291524 2.50072849773781 10.7894800308993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.59866563170742 1.60655736885165 3.2786014539084 12.2061527355511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.132889270431209 0.132702989483602 0.0944735152935857 0.0994607231343503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.264567610925495 0.26349832418079 0.302584377159433 0.356422859222195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.352388005679642 0.351443143496978 0.448256267800605 0.670414295502486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.379988717502134 0.379851327584798 0.482385613617764 0.982057766642777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.13298123272274 0.132662140739186 0.0945499886833549 0.0994255190484751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.264533590382757 0.263189529145433 0.302275704800153 0.354958119063937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.352412008033159 0.351165230558827 0.448340659971622 0.669229850869162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.380101733005111 0.379601037925596 0.482440330321812 0.980617818975146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.133134858384984 0.132758559042031 0.0946285505942145 0.0994934935744035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.264532326112361 0.263203639814187 0.302262646179109 0.354978522247968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.35240877607918 0.351162089649977 0.448380303433049 0.669246110648959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.380117885409625 0.379625244758367 0.482482149910692 0.980717000934657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.133501905850969 0.133078793683286 0.0948017846320362 0.0996657695859332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.26460652083255 0.263270468671237 0.302089992829568 0.355273594412484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.352554437554128 0.351613668159331 0.448809443806521 0.671676637660416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.380513280489805 0.381192017969756 0.483192126172448 0.986357110277582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.136677274512215 0.137062990197787 0.0964106100123554 0.102532773017045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.264887700181389 0.263854378068089 0.301975685946655 0.356683664157721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.352845222739259 0.351756773282008 0.449080552842315 0.672738305244386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.380594852753433 0.381394278159186 0.482831854744032 0.986627622044007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.143728220195765 0.16261287003007 0.0997126742254974 0.192488230168679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.268166573284925 0.272956409474711 0.303471205114654 0.359900370880156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.355841365809277 0.356424149374543 0.450271971804799 0.662203890544234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.388628949722196 0.381721559759055 0.485291566907637 0.967676530532485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.136167800284418 0.143572343596666 0.0984467742097607 0.15043120223836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.270406000730133 0.266932756991977 0.30578159317003 0.358340885063233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.357939194899321 0.353242468878041 0.448802342912034 0.666896239504139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.384610979500749 0.380849204077037 0.48091194455749 0.976368248473175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.136938972232354 0.144386116297276 0.0986867725644339 0.150533894348544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.270540657210997 0.266673883647517 0.305765165896369 0.357804702064234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.358093821791333 0.352813096964304 0.449082414833137 0.665273885844793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.38499223483299 0.380299791884176 0.480909697837523 0.973986172545365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.139874226513827 0.14728729892356 0.0998994766430095 0.151568457747715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.271852855063169 0.267005589244832 0.306960504020579 0.359291878167683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.35785327503468 0.353596545258068 0.447577352184127 0.668643890986967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.38643873424199 0.381701105100826 0.480338483484652 0.977748639330336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.196490206486388 0.210782306315004 0.248038527831223 0.329242673986283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.295546395888936 0.300564276822996 0.345665997550877 0.455433078650482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.377875380957177 0.374811110221071 0.478920432290479 0.754413152502468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.404022202387306 0.406199175759204 0.50383114986248 1.06698732015264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.260398440825052 0.292217242695242 0.397065345176518 0.557809560803664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.328175101219285 0.33550291623258 0.394895273513704 0.527101762508555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.399987774394271 0.397027613400636 0.501707398334394 0.810517875987945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.426721405329696 0.423626549393397 0.523822213590357 1.1214484509052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.133863430449366 0.13373981457619 0.0986346364204371 0.138396301226448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.284314360899832 0.283830344084557 0.349766092608148 0.570498491793168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.41444460509336 0.414275489986312 0.531384118183525 1.06166993465852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.519379459609614 0.519263570958629 0.66969609706338 1.56999701224733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.133919671706844 0.133809728257963 0.0986329052488784 0.138506469738046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.284325758211182 0.283833543318522 0.349779443253311 0.570516128623867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.414431405894629 0.41429928950081 0.531392362944691 1.06169024586544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.519366201855512 0.519304618450072 0.669742427909076 1.56985626495886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.134095543206152 0.133974612283686 0.0986417787151999 0.138640422725024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.284958289593655 0.283986235497267 0.350207765781916 0.570735446182028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.415241858267648 0.414428683129601 0.531664350425681 1.06170712234313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.527660342260646 0.519232935110787 0.681628749559954 1.56966475713878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.139230937852653 0.141899356751281 0.109187119668336 0.167843880713286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.290345246016747 0.285141826464205 0.359831898838251 0.568887852540136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.419384871251684 0.414347257610125 0.537080155889327 1.05741771482738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.531202284090732 0.519116291577901 0.68565714158034 1.56740690243678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.145167603797042 0.145988589708741 0.114152290294753 0.170732787741104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.291610646067629 0.286038221085697 0.36175368309961 0.571742406960929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.419510384566819 0.41476893261036 0.538318740427076 1.06001604401484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.525375841408347 0.521566734358141 0.676829252047249 1.57838011057745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.147628813922419 0.145830805156533 0.106554089631877 0.149153882484649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.288893676628388 0.287158819993025 0.353688533713155 0.578902670577172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.416438615382339 0.418440844956294 0.532674278488249 1.07347843245877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.523772707995102 0.524085828579837 0.675172791745908 1.58736010049878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.148715264234049 0.14469371389474 0.160728177779123 0.185602713428477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.2864772415449 0.296187062588053 0.355481113108209 0.615539843323555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.416585765722168 0.42580092966212 0.535703609691304 1.11205565663716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.521670658495028 0.541502878411569 0.674062134228223 1.6844919257246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.14303534346346 0.142254838907818 0.124681946651572 0.177297059160347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.285173231966856 0.290079559910714 0.351834699516833 0.597386547487497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.416204239419319 0.419577485293151 0.534965478938748 1.09028511671589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.521604980811953 0.530288765270705 0.67388889783053 1.62766141445996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.151886298767825 0.152642860885295 0.136913898854261 0.208894763921743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.293286345951364 0.291742438085705 0.359139296051297 0.598082255625608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.421862525800487 0.42086953642953 0.536158210980933 1.09223134456483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.536438669728388 0.531607099309277 0.685975923939441 1.63203859041295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.22575151534789 0.212208653900866 0.338383810959826 0.345117550505568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.334358243394711 0.321145959643481 0.428805228440464 0.664514541621418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.446189881698656 0.44802270798891 0.569499480484581 1.18801719828306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.551016473154457 0.565438023640401 0.70069363968214 1.80232514624173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.300264514502444 0.306558577560207 0.5404674372322 0.612841570080107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.36765713881082 0.378095775977829 0.475733601286831 0.810489231083735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.464787124048559 0.481003724384651 0.583454964227719 1.29602179479979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.565339249227689 0.592653807580341 0.708892771881402 1.92001171568741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.215509008079751 0.214466727675755 0.0932563868377029 0.219447940159644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.528121120032125 0.526337711381846 0.378951625902296 1.26159852259109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.915938397668002 0.913567448347648 0.849513418030977 3.46800293663031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax CSMEstimator(RangeKEdge 8) 1.14749384605382 1.14389507081635 1.41218623876961 5.29371859687416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.215464679897943 0.214529860119664 0.0931982659202031 0.219527078953365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.528102670857289 0.526300472778934 0.37895758526678 1.26139964199266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.915999615029073 0.913384746372109 0.849451621890864 3.46680214463927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.14757181156304 1.14388590274035 1.41221093960064 5.29344963953064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.215814884402771 0.222950903650653 0.0930282811246322 0.261503751245654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.52930442702935 0.524437987704038 0.377248586432783 1.24286395072443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.91714308275163 0.906358824433175 0.84795225529663 3.41138012610546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.14882499315937 1.13812042556976 1.41190687073424 5.23220629420466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.215863298757014 0.223209994383124 0.0930062808343795 0.26160807961595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.529353982532807 0.524525838180538 0.377310093748021 1.24308387684548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.917204002549158 0.906422051693635 0.84805203166167 3.41183012207784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.14890632664516 1.13812029409882 1.41223209637356 5.23237761999964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.217808734211076 0.225499215762628 0.0942314223517941 0.264645613416993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.531259243836125 0.525236045404748 0.380735165026181 1.2463746335585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.917064125602434 0.906861102464875 0.851286617150571 3.41466904440333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.14783957448443 1.13874378042189 1.41204247633189 5.23849020464802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.222829154822458 0.230545549802572 0.100929738911018 0.273475919556159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.534196928272558 0.528766826718792 0.385204445379922 1.26276598085029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.918404812455849 0.909890362569903 0.857677835672533 3.43632966464455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.14755936305993 1.14032412360855 1.41861989734954 5.25165154573871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.215700146889577 0.214721195844982 0.0934034870276923 0.219791446437602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.52821298620864 0.526394904302586 0.37910026396706 1.26175204797785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.916069963145552 0.913589408779594 0.849486715760993 3.46829206556378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.14748024579869 1.14378314877977 1.4122560385353 5.29270253215541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.216166633277376 0.216913195042488 0.0937099136482425 0.223978137013737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.528868616372089 0.528101389139555 0.37951888977983 1.26424555741758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.916568482220878 0.912345814333555 0.849255734277267 3.45698205026344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.14803168586592 1.14113149905789 1.41154679778187 5.26496393262317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.220868600125721 0.219180724637872 0.103126856665426 0.227378685233573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.529658136593658 0.529511423739597 0.382537879318406 1.27009514109156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.915752161624208 0.913977232566907 0.850515046241675 3.46903005607883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.14742650748061 1.14164285127361 1.41532271928844 5.26977013992552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.28364388662363 0.274119253655101 0.314323642090575 0.396818746835225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.560066533684716 0.552428889196825 0.454891817469122 1.34008390905844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.921669114075549 0.916833954163499 0.891368320181103 3.46893092247929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.14522389809095 1.13797811818045 1.44998426625781 5.19508332996277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.367902495285743 0.361542169007029 0.617809338234477 0.701832022588913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.588180115333016 0.595051847193604 0.534350933728326 1.4986190306653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.906528058635892 0.924877750795244 0.92135899080168 3.51417132060589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.12053028785722 1.13273032478582 1.4774229322672 5.11590151972809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.247257121481503 0.246849960863842 0.299701354158667 0.281531609827737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.448790146983438 0.449588381903777 0.846429575059341 0.992521645830569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.444723900442004 0.446172866617497 0.925471481789415 1.63214682310671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.702648411374401 0.704734505031867 1.43787077810991 3.35959013601444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.247261933617808 0.24686362198877 0.299552547102059 0.281417525880434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.448779288787764 0.449540875347478 0.846374158491504 0.99238530526076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.444729969878708 0.446126022966316 0.925436585936 1.63171851846971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.702663798962576 0.704619970303396 1.43782852142328 3.35889223323908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.247295714445443 0.246916124454073 0.299437090379443 0.281354781434401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.448825167078941 0.449506656642534 0.846896094803797 0.992271379444581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.444705737152364 0.446073486621526 0.925394287674615 1.63121488870043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.702653495147919 0.704576651745685 1.43784063882879 3.35821740679454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.248146921818723 0.251650912404023 0.301092275884312 0.295025639781767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.44872974614678 0.449470720931121 0.846330843688479 0.989364578894279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.445330430942718 0.446234916394855 0.925429198005082 1.62522631450227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.703491288487952 0.703081435576618 1.43789077767563 3.34664553631771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.277107770894074 0.267338275903219 0.397952248482018 0.358596140348644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.456836573121972 0.459660545718137 0.87609118306428 1.05466058435888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.449875919436668 0.462227717658253 0.934624675594917 1.70685588915416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.697066384644172 0.71160534512869 1.43557072306134 3.41342995423644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.295182071180512 0.283691445959434 0.465536542065283 0.406666414924773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.462269759434586 0.462345531707959 0.896855294783206 1.06603386010209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.454727300650637 0.468344790339477 0.944268110981357 1.72897583645365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.697182110272663 0.714759905529327 1.44305760247889 3.42503832669171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.247379121976528 0.246982359880762 0.299692484833358 0.281659569564965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.44893078092684 0.449564965243815 0.847403379495878 0.992937048117652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.444944970655192 0.445886326324299 0.925892203944344 1.6305436223479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.703214878163262 0.704474725561406 1.43874473772991 3.35740982324663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.248153958160236 0.247765289410906 0.300262535899352 0.282341865978618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.449226495665836 0.449678585936575 0.848106739692541 0.993600575411295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.445263940231258 0.445994417803025 0.926255450851102 1.63074775324818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.703454259883897 0.70420734764239 1.43929091726004 3.35605250874061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.255603076471322 0.252515473609093 0.319139498635054 0.295904529609154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.451275320249692 0.453297034638615 0.854244016532115 1.01899767925242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.448461006967211 0.455177178749478 0.931146724387219 1.67101673444087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.70064924131547 0.710277794921001 1.43837524405111 3.40033078380598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.318069940408532 0.340391473641371 0.518018381704884 0.602371390696469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.473268196962593 0.480636954881564 0.928847687667146 1.08675723057302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.482189461485084 0.478668059860738 1.00137620106575 1.70457260051525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.720687898973245 0.708372433322663 1.50275826203434 3.31327250862912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.450524107271829 0.435015610165623 1.19127780232164 0.895355882967602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.520264528484252 0.51710214691138 1.08717008197277 1.30714961702365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.529480223057295 0.522352789863729 1.10232675892897 1.92401991583329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.73395942968505 0.728354117641229 1.57435158241074 3.43526273794262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.166568753924334 0.166483970776741 0.0551936250092822 0.143130403617939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.442101421236083 0.441170518399566 0.271101951216321 0.964735285903871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.761284579866421 0.75963060654222 0.749735511412164 2.61801159855896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.931096167812109 0.928582282045215 1.14854641005421 3.56116308587626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.166606640276064 0.1665302449892 0.0552021308898913 0.143191774471815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.442090083943109 0.441161619235761 0.271098143448909 0.964632493330334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.761245526172665 0.759709789582216 0.749710870149495 2.61854318071925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.930962717888934 0.928704541143288 1.14850234725258 3.56211724962541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.166712766736229 0.166649825284413 0.0552247329025548 0.143323427485855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.442169592162603 0.441233233627403 0.271150593277449 0.964860660951187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.761239383071215 0.759860837109715 0.749777010263556 2.61959918381993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.930943275305204 0.929065300157316 1.14854531052253 3.56462417097601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.167026250360071 0.166917689139425 0.055322734107452 0.143656365539269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.442378459821085 0.441312976808298 0.271355877167027 0.965105863967406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.761259178992816 0.760264018787926 0.750068605135455 2.62182324747686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.930845978334696 0.92979255542623 1.14877714053226 3.56987587725156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.171749791378514 0.170156984496945 0.0644341832608644 0.147682758761981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.44484589137767 0.443548425974152 0.276600754851205 0.974815704854157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.76221336766843 0.762165552789371 0.757067343412887 2.63442793959665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.929778333956278 0.930923114769467 1.15438299224297 3.58009837440112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.178277420579006 0.178051521894264 0.0682502065028472 0.161163261536511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.44827458404296 0.445922637885954 0.279502893073261 0.978304246997608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.764254115224376 0.760575960996236 0.761218763568279 2.62055136174587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.929781742171032 0.928030429759155 1.15453042896855 3.55805289745662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.166835781955639 0.166654967896894 0.0552333857241964 0.143332687830911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.44221445490501 0.44128894366633 0.271131517665206 0.965153725571989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.761294332872861 0.759867413330864 0.749697568751652 2.61929298837593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.931073246498184 0.928594258783512 1.14859314224156 3.56136892015947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.167537108844445 0.167356746302769 0.0554123055247542 0.14405293950843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.442238349256135 0.441741497776728 0.270989542204443 0.966893947108449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.761310804209629 0.760267750304503 0.749686869768927 2.62168898172015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.930920630138287 0.928958567552066 1.14827908794173 3.56379615790031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.170661004773656 0.170624144424993 0.0565303993917727 0.147821235857133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.442845499139177 0.442867161156966 0.271397266702388 0.970945965125335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.761780537908516 0.76070740870527 0.750268926078412 2.62471217854715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.931161974459408 0.928916937665551 1.14811574976146 3.56395624566343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.225762476885065 0.242200279841622 0.189502782852008 0.373480554304755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.470268010774149 0.483612503013807 0.315653427587025 1.08092178878548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.77141488309363 0.775372894101939 0.767270360543084 2.66845426860438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.928744575252667 0.923747981705389 1.14481488897198 3.50795039453341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.307663987535694 0.344751342131163 0.422357818824608 0.724241494414299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.508879795336612 0.528946698703923 0.389006576893445 1.17935919418243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.783347288639693 0.773803642801778 0.80719679829975 2.57165517982537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.930766895442898 0.907668616215861 1.15779046500939 3.32737935302166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.420060956365577 0.421687090448598 0.871465462828016 1.03707154732609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.755721862314057 0.7561493806572 1.98027071518167 2.98085301868834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.788240136287552 0.788576513659423 1.90065132298624 3.78982578167248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.888158493325475 0.887452323494809 1.81216513191766 4.65693690900947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.420332123043537 0.426086187006378 0.872176496647211 1.06167239434703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.757559334131605 0.757767947942784 1.98233765631655 2.9786976550015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.791709343288295 0.787927196100162 1.90173112858852 3.78074340679168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.889940940729447 0.885148592018762 1.8130987539215 4.64203617394293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.420161021304081 0.421745795434849 0.871659324988962 1.03741329575879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.755648580778777 0.756123849337864 1.98003576429067 2.98079182306885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.788237491516643 0.78853242629326 1.9005943160056 3.78984343078275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.888224022950214 0.887382986366001 1.81229166104695 4.65687897836366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.420789036549252 0.421922064867217 0.877665110977337 1.03766695515671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.75588519492698 0.756195323702421 1.98045355947455 2.98101356056593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.788348440506197 0.788575572547958 1.90045250181081 3.78946586729368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.88826658702994 0.886835134875118 1.81240162622926 4.65332415999646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.425076314383018 0.434350555717463 0.891506991940977 1.09514467372152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.758655197990253 0.759908145284852 1.98767220012716 2.99769010667126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.789650062532842 0.790224044340398 1.90012290250187 3.79185361305906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.88923177436356 0.885520849531221 1.81324070351748 4.64540416465352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.429536085100604 0.436371899190998 0.901813708096645 1.10510200844945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.757498033384262 0.759765875966643 1.9808634785341 3.00415631007848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.789784360455599 0.790470036193538 1.8969303405193 3.79407181877884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.891561099815883 0.885175615180265 1.81340075080686 4.642878978135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.429007155027054 0.428174150763138 0.909471814287917 1.07721201374022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.756908014308925 0.758781617485703 1.98073172254534 3.01332488479432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.788484809591937 0.789756341977624 1.9014757738173 3.81190942811564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.88816222929321 0.889214479990267 1.81374495871423 4.68439626092069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.43288710493667 0.433106559160226 0.922548542081843 1.09580868683527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.762350261357303 0.760958677357506 1.98711861137257 3.01314916018084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.794719077476182 0.789234082020635 1.90197652324246 3.80189331532772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.890653743127925 0.886540872761812 1.81488549497544 4.6657611756446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.437531430179324 0.441776570102449 0.942278434088233 1.14793229343635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.759002495973758 0.766327813470631 1.98189306480901 3.06698619535719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.790038442495778 0.794650079077099 1.90252040759511 3.85314766281902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.887765318051595 0.891943203804456 1.8161133197634 4.71878315952081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.471593018579904 0.468220528852793 1.09429445119137 1.22930485438313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.772558091947379 0.776555398346313 2.0006035333948 3.10524317980287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.801405031676484 0.802682689156121 1.89969745957661 3.88074673719916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.892856149523696 0.893479354462695 1.81394145274017 4.72699498981151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.5514322838691 0.540026211850701 1.45732011432006 1.56109384003101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.796047306125068 0.802730258147937 2.07895032235783 3.26368238224062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.813608898130393 0.817281503037077 1.91536033830505 4.00206965051725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.894902033009819 0.90360913976698 1.81897659377724 4.84613356695874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.133972707588918 0.135172804196894 0.0590193701651083 0.121593673620354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.369614822918894 0.371926539688447 0.275984684252578 0.815194448165321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.643459324737525 0.647129541578959 0.716849804153301 2.33139755268806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.760572287008106 0.763991078352404 0.979953967556436 2.84604194059129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.134062001586523 0.135426528818764 0.0590838996755183 0.122168401137346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.369663189792406 0.372010372795168 0.276046172574296 0.81556626361582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.643666288146165 0.647151733730731 0.717310263127708 2.33143287174358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.760566902809669 0.764067436130075 0.979937475269577 2.84593271169591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.134417736395124 0.135657271903441 0.0594372659308601 0.122403359356093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.369854266220857 0.372108374538178 0.276358575550189 0.815815583172745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.643773355318841 0.647210571878531 0.717583402852103 2.33148493016759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.760685044044866 0.764164778788103 0.980261574185289 2.84578537437341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.13516380544591 0.136377679121224 0.060392003364302 0.123599950601227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.370063111822569 0.372468598079417 0.276813777039108 0.816845994786539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.643999712139574 0.647505289694518 0.717925826866927 2.33262401909924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.76069780874189 0.764416230144695 0.980328245889913 2.84543053553312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.155016207194014 0.14432311186204 0.121873423850363 0.135713500389534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.375289344703638 0.379740103679281 0.288266560526148 0.849298746953306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.643519252880747 0.651608495789532 0.723066493325653 2.35978129481809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.764853012478982 0.760942733947665 0.999005951583856 2.84376710155301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.180576895687439 0.158722931299746 0.191904788686979 0.161216235242088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.385158376661589 0.388083170628698 0.308991184833957 0.883658987331232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.647673360244649 0.652860314315071 0.740878398161371 2.35770537601791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.767849733626957 0.759893553030509 1.01708296646461 2.837549649683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.134251283947571 0.135311160208591 0.0587591491914954 0.12129936604118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.369386668067371 0.371711040156163 0.275706490614073 0.81436156932052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.643403156239231 0.646882985626072 0.717008255350061 2.33084717356439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.760593381112426 0.763945749800945 0.980172476540733 2.84641158101356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.13631162122725 0.144374191619738 0.0593293985515399 0.161867985657558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.371215120471095 0.374028623142974 0.276170062672467 0.813416210742487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.644163903619 0.646757313912309 0.717307659599575 2.31214943959937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.760581483260219 0.763082157690105 0.979936261958394 2.82358392267215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.147970591193236 0.155335541112469 0.0873575414862652 0.187732880804031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.379956020882954 0.373724981514297 0.291653535701697 0.805519631617239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.647378522073193 0.644524022828797 0.725353666864819 2.28363702728646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.758587874262846 0.765740983074369 0.975599511214951 2.82443136638902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.198935105918732 0.19614388729586 0.18055382959416 0.245140433451981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.392335833927345 0.396252830683139 0.320723796933445 0.879896576966715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.649046954613773 0.655325567983972 0.743186647355385 2.31515197450454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.763721603418223 0.765397249480665 1.00096204598604 2.81530191211086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.262867315010127 0.272547094731421 0.301305479154853 0.394029402675619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.433141253968937 0.425259924821178 0.382516168511042 0.932520082295046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.663835041040667 0.661497521452506 0.771835307724746 2.2552740661428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.757971599507435 0.769773811343491 0.988016935684535 2.75380655301419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.111749014358416 0.112001738312787 0.0199661150963807 0.0637592812943334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.321261346796145 0.321774681279173 0.122405457245815 0.47990928884622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.553567036966184 0.554287448819097 0.358858972335037 1.28122773727672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.661277656392888 0.661515446419622 0.519709345558046 1.69415664156631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.11178386617391 0.111951583495687 0.0200125572438 0.0637067979956311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.321304621439669 0.321782047853764 0.122440494893916 0.479926018578882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.553578819849067 0.55432179662251 0.358886688122626 1.28136420981419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.661237688959946 0.661547710625353 0.519722278628914 1.69434194778079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.11187206376009 0.112012205388523 0.0200726175599336 0.0637505051369108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.321330651689936 0.321765882601106 0.122463396048157 0.479904742553005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.55355374625272 0.554343849533189 0.358889200746702 1.28144161829469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.661234742703372 0.661616016886584 0.519834040526635 1.69463783984235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.113246138407329 0.113386091100666 0.0220090412914364 0.0667195460428085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.323175479931891 0.321880615487549 0.125247362623364 0.479907138864196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.554174719868494 0.554376330457028 0.359742808925119 1.28032549496731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.660997427742311 0.661605701023005 0.519109192029548 1.69288867830853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.116888490173815 0.116861647899668 0.0236965719263855 0.0693019258409124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.324309271600446 0.322849725927821 0.126635191762104 0.482347284599286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.554618984553684 0.55490792506469 0.361084466084836 1.2817878380629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.660909816573145 0.66159944503699 0.52010923207958 1.6927843274953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.126229570341917 0.140245189151589 0.0362407845465563 0.144696106206241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.327560354080759 0.332505007252741 0.129505515410186 0.49918414858136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.554991919829321 0.554725313222839 0.363406505667748 1.26893249745524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.659007552480861 0.656427871709171 0.52156480728301 1.65991716084227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.113810528244753 0.112225350414067 0.0249070606087506 0.0644551239089373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.322334352166834 0.322381751091024 0.124235113446491 0.481629233631532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.55378013574997 0.555515848768318 0.360064468990129 1.28619289493605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.660090725875743 0.662106971571582 0.51914542838811 1.69737790186531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.114796356656158 0.113151193895691 0.0256902847164673 0.0658145306281642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.322718315915512 0.322623170841364 0.125121058846548 0.482380790614445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.554144601835373 0.555716521196654 0.361336259074606 1.28692401316194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.660067948149698 0.662141092377055 0.519490862756703 1.69730140990631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.127607105856468 0.119600642715343 0.068283879398273 0.0790281902721106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.32875041128277 0.326152562247894 0.138348721682934 0.489488335540446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.552812224237433 0.556421478013978 0.368572594985391 1.28658693993709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.656180801754468 0.66157008215735 0.521739601483394 1.69360920039646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.170069437735992 0.175028027718853 0.174915975849667 0.243515041260477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.345545358868114 0.348604446453783 0.1653621536936 0.527976116575473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.557680364414498 0.556187782576029 0.385567729945359 1.25759143532885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.653878557508046 0.649971576521777 0.53467185144876 1.62054122585819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.236002204803395 0.243916604795409 0.344215808711709 0.387628082950582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.378370694008954 0.381632567167979 0.227791487507718 0.590748103560519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.563895694960837 0.560641043585726 0.424731939498922 1.24028816258202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.643626347647847 0.641408767107848 0.548335897818656 1.55669744635445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0698335044722871 0.0697972755719563 0.0116145005003092 0.0238943853086145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0784738676109372 0.0783477254020359 0.025174885421058 0.0427323384189547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.143448888981991 0.143156113906966 0.071784123946712 0.135324525656009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.219814063530428 0.219327368693482 0.136170932460482 0.297057852840342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0702102121819391 0.0702092878208897 0.0116892876644526 0.0240251771888297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0785190589841999 0.0784271693538232 0.0251798561952831 0.0427684361133708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.143455577758264 0.143133331529139 0.0717758522488049 0.135298853981549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.219874318551242 0.219359180336328 0.136239418261859 0.297211640303524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0742198735975236 0.0713160069929905 0.0347386677351148 0.024393745764083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0821751321981649 0.0786057522936195 0.0330485888751218 0.0428433816250151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.146073932521244 0.14333057907832 0.0750876750791141 0.135802307877208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.221759496368237 0.22012884278494 0.138477912921749 0.300108993526679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0783471785380475 0.0795398829434957 0.0366246975488625 0.0815973832749017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0853656236901487 0.0827065076273144 0.0368393642905804 0.0508507640514909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.149949459542054 0.145474437452254 0.0788889762126424 0.13769592094559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.225700492516845 0.221188330556803 0.141548845383653 0.300265547343084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.101342761358687 0.105334007748945 0.0471772847765155 0.142352209769466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0905845967975678 0.0921711643758169 0.0372728584302144 0.0733878216384697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.15065196592271 0.152004372666082 0.0777503622359768 0.150713252180744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.225672987486781 0.225430912320522 0.141030036906683 0.307269295326872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.15764095029095 0.142628181208411 0.440492845869796 0.224985493357456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.120936916594633 0.110607856761543 0.130816962001778 0.105552200028065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.172512623474454 0.167077548065342 0.120575130925568 0.177098720728165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.242831165196057 0.238941383693833 0.168164557961555 0.334489316850195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0861441822914014 0.078087707694304 0.189869582129569 0.0783058427312699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0930121714979469 0.0817562277068844 0.0777046486051843 0.0490991236844184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.155965085686606 0.144744568986294 0.0994758815965365 0.138080630762006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.228085760507157 0.221769664034984 0.153296277840353 0.304775928820921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0917351916074875 0.0925006343926899 0.148047823069748 0.186902328226329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0933576310317284 0.090240633641298 0.0660770232562013 0.0767105158412223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.156963421688763 0.150962075842703 0.0967316628457446 0.149448439211656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.230970891577769 0.224435050779259 0.152631642181473 0.305557553365094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.115903823743896 0.122797032376506 0.195349987152033 0.292179332614425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.101425238480769 0.107071658638673 0.0732783409481396 0.111898662189762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.160498877245671 0.164348429383849 0.100315294835982 0.172466176264801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.234289980389059 0.233588573018478 0.157001051560224 0.321579730468738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.341352190737759 0.301460441698053 1.76849682970856 1.19633383142396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.253058151248612 0.222046842395726 0.514716801230982 0.3880167115368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.281965987658715 0.261705944897888 0.323071461825656 0.356984963021185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.32737364243441 0.314297662771558 0.293359366211429 0.478043604157113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.629254208313855 0.576363902522291 4.39361633294243 2.83753977197722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.446302437280641 0.417931655905395 1.26323486393363 0.882467323345388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.429994084006518 0.411825753996936 0.729296565477141 0.659991921238186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.442290057544889 0.422734975906497 0.557612556684203 0.705295621804534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.18000570014875 0.180710808923441 0.124187423321712 0.177326755649872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.351683047154906 0.352759902766403 0.529604861676584 0.769061809599384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.611499814478934 0.613317451733509 1.18128109909711 2.02936139816392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.842539676569598 0.844513755892866 1.73225346285202 3.58585668094664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.180144113897118 0.180950437889418 0.12420384857606 0.17750121865762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.351697408759439 0.35280594066441 0.529614404637036 0.769188562233424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.611493737479932 0.613371012840423 1.18132722725282 2.02954817328086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.84259348082743 0.844632561322102 1.73225562278278 3.58611121078263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.180558153631215 0.187851947022629 0.124319238326588 0.274770695151553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.351690315793005 0.358308852773696 0.52937669223571 0.794268884429994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.611625186732083 0.616572771531532 1.18162518751753 2.03627291835612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.842753916488227 0.845211005477815 1.73253888026444 3.5799009201731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.188750189653808 0.193853370944008 0.196022928801018 0.286579715137766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.352414188412817 0.367093852208455 0.53321811379616 0.827833188264822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.611530986592269 0.62881354971567 1.18205073327332 2.08583273078689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.842337366813843 0.856875647407459 1.73157431133387 3.63592200536641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.239629417011293 0.225983405992527 0.682205742354595 0.419578612245257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.38616819776407 0.385678510690016 0.660468446583784 0.938594501731634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.633998647365176 0.643017940703099 1.2361191977917 2.21444900510984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.858643812972683 0.866279937430446 1.77301172860038 3.77259206287822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.332259033058438 0.298612275753199 1.72208622456252 1.11578146480677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.439435185980112 0.441250107264915 0.893381268769434 1.1781079266136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.663526176783572 0.677752614834685 1.32861975631843 2.36180342368853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.87133219770921 0.890049347629376 1.80474448102672 3.90537614030226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.190152064211168 0.183925519400764 0.256695984823939 0.184681546763327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.352510091454307 0.355024965330944 0.533238789266483 0.778652803599265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.608842047675491 0.615981809280157 1.16727641218959 2.04460120565901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.840078502846516 0.848018143161538 1.71943374114165 3.60892943345016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.203330138025862 0.198867308203124 0.371733575909925 0.378430930864848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.359857605871545 0.363812993756253 0.558840569017169 0.821329192903125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.614113806165566 0.619199307833071 1.18075592121646 2.05462656763135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.844752333960171 0.848550095841427 1.7330783155097 3.60392933118087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.235932335271971 0.224651565668046 0.650390448901188 0.488450874462881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.375546673753341 0.381266616471738 0.61280105506333 0.904417737282028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.624446433216579 0.630118418707529 1.20673248790807 2.11869737522511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.851935966641453 0.855062451510279 1.75291852521192 3.65984321100645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.494320289406694 0.49638917588793 3.13090205008578 2.96574398050076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.545813115985045 0.561265306506094 1.39218402203011 1.76619779226586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.7402218640332 0.754031815911572 1.60666908987801 2.7068472084775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.914185437605987 0.928858868565688 1.96695952997965 4.09628432953784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.855784352011138 0.934479885328231 7.23435402814187 7.73966011514207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.785944289726145 0.85851845772607 2.59362206862136 3.28416933777508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.898319877948715 0.954072728605298 2.1943852723914 3.5866544452346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.01385730962964 1.05582753257191 2.2504931334287 4.62099579780477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0797986414686619 0.0799694177337101 0.0316600001956548 0.0364426826489989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.113851913918795 0.113762542944764 0.0957932893373381 0.103187503978229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.19945179067265 0.199531025701001 0.245405624378767 0.276888836001805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.284129242493177 0.284660632391747 0.415612929543556 0.495420212944924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0801189638631959 0.0803309602269783 0.0317407056373995 0.0365551398735558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.113964737235011 0.113847614183276 0.0958314014273925 0.103218455026483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.199435189531445 0.199598882598263 0.245347851880499 0.276961440249668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.284032199270161 0.284840129263471 0.415457393691946 0.495710218627911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0810605574329171 0.0812898261328497 0.0320051393246395 0.036867878309906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.114242460559711 0.114036185957688 0.0961430881484367 0.103289357370974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.199432563369798 0.199673713736853 0.245219687280513 0.277064605193253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.283911912183734 0.28493126852462 0.41522709124072 0.495880241886163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0842849050274572 0.0844139163482198 0.0330317062473217 0.03802519165671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.115056014805814 0.114893004436781 0.0963403996085098 0.103688735324557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.199621401844199 0.200041594288307 0.245199642845521 0.277520516111078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.283936937694809 0.285205747378598 0.415148818346165 0.496387302493008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.118025220706462 0.110548010054263 0.165298199687275 0.0597960063052476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.125551883351056 0.129284081943222 0.1083330400226 0.14141919220792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.202922534403887 0.211540793733638 0.249202995622643 0.317499190480112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.285234623274735 0.292617659323255 0.417659537937811 0.5334471350306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.187044443083526 0.163088966066905 0.716916056445273 0.350340371013212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.163566473455043 0.163796840504469 0.224819081306032 0.231378932047142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.222301738629651 0.23883910196008 0.292759301162344 0.369431053164957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.298535589091261 0.316559082694958 0.448536706411551 0.575876563156342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0939856976556504 0.0844952718366371 0.164191954900143 0.0402880109647518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.121034050759988 0.118953270577611 0.112183349355753 0.112439596666113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.2029719075954 0.206055505257685 0.249845803384947 0.290757047434496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.285687470461417 0.290308297578126 0.417951421873641 0.51093076802777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0900077602317952 0.090285706053564 0.0346355056138699 0.0399907281768906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.116487532804075 0.116168403239089 0.0964054707170873 0.105039581074414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.201038296450638 0.200498743204512 0.247249961731723 0.278357748725101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.285741325163359 0.285317016905947 0.417954528118782 0.497120358161469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.113180284847284 0.135617534113024 0.0475700866850768 0.419840452753883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.126308437619323 0.146510495457264 0.102773547394282 0.200841018600445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.209618110942808 0.225090426179224 0.257969869984856 0.317352687105909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.292477025200367 0.304049797835126 0.422985779514298 0.51707110123852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.276403384654995 0.36672932382003 0.724389574893886 1.86811180824377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.228190779078043 0.28134671015421 0.345268200063426 0.516948574788969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.29742537137392 0.315766132176467 0.409084232951081 0.452533064897725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.370418722543816 0.371894335476224 0.537450653176249 0.608682372123812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.604797365997393 0.588859154861369 3.75409201320046 2.95787394264565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.42712170815854 0.423623413014044 1.09480227502815 0.923563773510654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.430517362438157 0.424153164952637 0.780643852771163 0.754611440215238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.456190402146135 0.454121976570718 0.76784362698828 0.864635307050683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.057279210378486 0.0572489814350352 0.0117629189978861 0.0169182883958473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0615047956128374 0.0615331497370819 0.0282035284642437 0.0355955474385038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.113008267565689 0.113108466691662 0.0871895674527332 0.116072760113818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.17431593601351 0.174660006794783 0.174222037232249 0.249124043466014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0577862721549016 0.0577084818463817 0.0118382579265336 0.017005127508699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0616925462926632 0.0617288858747794 0.0282247963921797 0.0356352228832432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.112998292136091 0.113221818554375 0.0871826664506134 0.116147903159218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.174252816307518 0.174843479045253 0.174216195349446 0.249290528585057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0590209186383764 0.0645194400168413 0.0120457437946531 0.0724621099237786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0621513854226973 0.0666739010633224 0.0282678864017604 0.0473290405958065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.113086811251256 0.11594961099623 0.0871703382388022 0.118933803838774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.174175213360651 0.175323559911105 0.17413511250297 0.246409823322846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0709325046760225 0.0696052232850808 0.106154072023948 0.0765382002357711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0673246033469364 0.0728724612693056 0.0368495652386674 0.0595432208032594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.114234338402144 0.123240081104118 0.0878414270864784 0.133397480912438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.174635831244565 0.181273032938275 0.175144465916573 0.259261061945575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.093984234500169 0.124888955803351 0.0762638119350598 0.519985660497841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0766552231836956 0.107495281200743 0.037709409258312 0.15819572862651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.122071293762301 0.143731313321757 0.0934781328670827 0.160215476140168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.181395961564832 0.194964114255391 0.177827733774427 0.262172706120822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.161341509050269 0.170680848469514 0.578531493000898 0.759260218812405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.122517944430773 0.135146299711951 0.160463688338284 0.224148204534787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.157678414568713 0.165691153005047 0.148972009397924 0.202034140729551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.211501202784041 0.211997189979606 0.219500502602382 0.293426270365716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0614050885326838 0.0611210045754788 0.012755921568346 0.0179242909145924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0632514980948375 0.0628516308265988 0.0284496443746652 0.0359410739256536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.114049297660129 0.113825623221662 0.0873886966033464 0.116583556022341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.175509862924888 0.175718123864627 0.174427769391759 0.250469821737791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0688367125028414 0.0691716071953979 0.0146965712606947 0.0209861305793892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0664606574880099 0.066002966268119 0.0319307689492085 0.0378237283884415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.115136886975687 0.115166124054479 0.0876568657291495 0.117507484238977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.176325864209484 0.17671997045804 0.175039835347978 0.251750727618351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.105733172981792 0.114188811877754 0.188153346854119 0.337822473354184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.089750788233288 0.0925271163422351 0.0699562896345674 0.0985326238945036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.134192875013549 0.135179219042307 0.107657151790061 0.148849216434115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.191079480502173 0.193070910927358 0.185825932111602 0.278063707285673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.323411366466053 0.311470950961841 1.57736970291932 1.25089005996567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.21834724121239 0.216670721597407 0.4141872879375 0.37238250644256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.220672939019945 0.232477868475564 0.261364051669664 0.309017181283798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.256314563689321 0.274029757387857 0.289757827683007 0.401091421153365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.637179386457808 0.640614347965864 4.61560783816285 3.77342304371621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.426150238678541 0.445152055873896 1.20901176937982 1.06066894521147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.371088056469153 0.414888612961095 0.609788827435496 0.704216527198797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.380690871881788 0.424811774309914 0.538679622857756 0.717969722724299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0763170547682035 0.0763399922281029 0.0122780509365816 0.0250747200436661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0919013020230695 0.0920389249233354 0.0211486630198619 0.0387736376097647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.172141729985359 0.172302211143694 0.0687659719383317 0.141567162528271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.269982847370463 0.270176470802784 0.146934612262076 0.347267186676794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0765216956040138 0.076637051826269 0.0123211920238156 0.0251935133397641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0919031063700339 0.0920594321260661 0.0211483595706904 0.0387687814500217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.172116090813608 0.172127694833419 0.0687484962543645 0.141165701774899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.269918215397145 0.269844706224985 0.146869676077446 0.346258089307472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0772955068167697 0.0849416676821479 0.0124934627155105 0.122408900722618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0921214574734704 0.098872523791927 0.0211793427792671 0.0621351153686288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.172319417198413 0.178109270543315 0.0687338412953441 0.151469342683822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.270317024743415 0.274030972068064 0.146761573695308 0.350519411772185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0798890377790397 0.0801039203700605 0.0131429912595064 0.0266187871731471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0923360422638105 0.0925335223710017 0.0213479330749756 0.0390228634767209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.172325928638712 0.17244840567325 0.0687588473155669 0.141518014030829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.270034537795484 0.270086155225458 0.147180633753953 0.34661494646788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.1032381627225 0.12864850064519 0.0306707814006832 0.392118522229399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.103930907615928 0.118225581403864 0.0396859319302069 0.111207892347097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.182977140910286 0.188408741526197 0.0829700638748148 0.166130818254654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.279044249001723 0.279579173502155 0.155438464188542 0.353888119499776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.155160440447648 0.186845849507485 0.340567523418897 0.795053780078014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.134508281230377 0.152883112589634 0.116535681150289 0.216383104225673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.205824417112434 0.212480741322328 0.119610087268281 0.214910700450208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.296622796659373 0.29582668246181 0.176590271046208 0.384432837560377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0788645258066134 0.0841956350161516 0.0129091842757359 0.0872460722843094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0928478764430229 0.0978899013359234 0.0228040238776822 0.0552586634397519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.173567798302563 0.177687087840958 0.0708702807621514 0.149663123607444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.271840748486971 0.274069420885209 0.149181246315908 0.351118273108078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0920123733606043 0.0914284828414388 0.0989523639323134 0.0912285747177515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0986513495399865 0.101565366398973 0.0367896874494759 0.062323850895099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.176035372931772 0.18264277444114 0.075004372369052 0.163567345872708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.273622322289438 0.279280677305762 0.152952145649772 0.36807871132231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.118078989148765 0.121983097230766 0.184451940015743 0.225518936831051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.111613507961088 0.113817453664406 0.0636797428498469 0.0862407962030309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.18619241024192 0.191523873970348 0.0913792357579342 0.179622366501401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.280825344706764 0.283538115538041 0.162761381287793 0.374868855742321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.326978814664609 0.306237228458454 1.67618311484149 1.10209665529321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.236492263194882 0.22944433613046 0.443762863529417 0.369883114594304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.279235273589818 0.278458947118925 0.283971381304146 0.369453172098889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.350153288775402 0.351085918780853 0.284656271092883 0.539517914047265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.643768623312216 0.616996595472124 4.55824176425929 3.55344649292365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.444751010746446 0.446985987572132 1.20788564956567 1.07647264653052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.426205460763158 0.444587844459038 0.669510922562258 0.763648835084816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.453355576291665 0.469814179214678 0.542354538178985 0.827364112433395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0907593083966866 0.0906709879599731 0.0406402388681326 0.0387820649068916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.153007487885625 0.15260163832315 0.125265095286273 0.121016590182482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.268445987896171 0.267502452746796 0.348937796526362 0.346642983838771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.372009803043385 0.370932587978177 0.620562737646102 0.643304624089175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.091120820856377 0.09097756657195 0.0407784133277509 0.0389684094598733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.153170034426918 0.152723091042215 0.125402842742652 0.12126311345292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.269003279192952 0.267437224889997 0.35046629169771 0.346912798444841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.372940674678876 0.370655015643241 0.624131745226545 0.64300958577857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0922308895257897 0.0919855498648476 0.0411892780339292 0.0393586371566084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.153573163015817 0.153074886674306 0.125654195813029 0.121601564608422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.269423641958815 0.267602361929509 0.352041989056654 0.347369252104949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.37320828957683 0.370626965228183 0.625117923724969 0.643116718579072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0964898288153832 0.0954960259209236 0.0433186373166166 0.0406554800481178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.155025708075304 0.154187209616722 0.126665323208462 0.122287073409607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.270324773418207 0.267979309015357 0.352891493420137 0.348524789290934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.374133901278506 0.370463017746268 0.627921808358319 0.643692695171513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.143743965804179 0.150211824022003 0.219772136779807 0.333297663869524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.184445276675701 0.180560801368668 0.203191539854351 0.172405218919509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.290464010561248 0.284132221522446 0.407963387538886 0.372635257798675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.382948309023939 0.37827538182469 0.659832090820779 0.657637634442984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.23828439385378 0.245446605297115 0.918821820552383 1.1054486167451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.24992342654925 0.233459510645286 0.426276469038202 0.333050132036239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.327891641172032 0.321717021330305 0.513194564353766 0.465601285620077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.400967176495034 0.403867694545018 0.707281823647665 0.720166995003441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0957861190522661 0.0959675780255183 0.0437924648383468 0.0424658071785021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.154583725075047 0.154126781528589 0.125320013823246 0.122715455890155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.267597433025938 0.266944016676092 0.346162788696725 0.347708179628108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.371113018342151 0.370159961385637 0.617340921033213 0.644108685994454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.116213143932337 0.104711055658253 0.172973078693073 0.0496413731301743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.160676679248726 0.162030683380166 0.134656941740819 0.147545798360246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.269679332082194 0.271278643130121 0.349932603945592 0.370302256973423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.37243444959641 0.370550576568529 0.620354748680526 0.664141239098815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.211282695460998 0.151750606540322 1.04951613673474 0.253398505882552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.216739386479797 0.20388281524515 0.298400299615966 0.258869138857349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.309758629656632 0.307758500511919 0.437831702924812 0.477186703961641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.401094988979527 0.39840765147986 0.684114465343835 0.777108749256159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.505668484995712 0.415490428258693 3.66689517527198 1.76545683772181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.38674387545234 0.367951635307768 0.997293074460412 0.70971133320591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.421631828207408 0.416150385335457 0.806673600134569 0.76822780207695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.470060355681258 0.461857282179836 0.91636044678138 1.01222287857415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.870955143560064 0.735625407147776 7.68720610291808 4.00734445428999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.61098835329662 0.54199274748187 2.06994983050371 1.29174276464554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.574871299539262 0.540084670309828 1.41071409951988 1.15639391659855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.570575627302185 0.545295876125253 1.30694730151655 1.29763144110528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0733289275649651 0.0733398041575364 0.0104533598513847 0.0235949780817553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0696850638024463 0.0697497551140672 0.0130221050472401 0.0268107620742725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.128844368972195 0.128906879211815 0.0413807360179947 0.0928529175575759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.20716893564323 0.207180637864819 0.0939425260638317 0.235317336357505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0749413864497224 0.0783060881944278 0.0144076498311483 0.0683395439717195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0737620162903205 0.0716680768253785 0.0225863757810516 0.0291434986475047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.133783470662832 0.129132690361837 0.0490057761656105 0.0927582610391568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.21252872475649 0.206708688331504 0.100194737038124 0.234465954375444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.074870585477512 0.0829164307758649 0.0110452211713285 0.14812102580509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0714522185640906 0.0771049556547681 0.0142779723375902 0.053535428151555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.131245564588056 0.134306557630015 0.0427964125317239 0.10226703545532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.209970441773503 0.209651482397234 0.0951862097917389 0.237106000081609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0774475171484166 0.0777337915638883 0.0132071428599824 0.0272294638072539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0717713518457398 0.0708368882458835 0.0167006871246079 0.027409293136657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.130480079453602 0.129320401398609 0.0438069055014109 0.0932699618196732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.208141112378956 0.207351090159679 0.095864228467255 0.235583493440124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.113798983390872 0.105068453470342 0.217898116002122 0.10270252539201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0921954083700752 0.0848736939925413 0.0664138024358761 0.0530201022912044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.143570638564933 0.140042830136084 0.064626980460022 0.109204971055676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.214869252655366 0.216278610317588 0.107130459097644 0.250261765823822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.162909464700537 0.147684005795277 0.534372422440025 0.255680783442257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.122390516415263 0.107256964921251 0.145057158267688 0.0940772124780488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.168222452674774 0.154606260476321 0.108121384135295 0.132523979592298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.236141842765115 0.227202603085572 0.135792890932295 0.271226896885009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0783674550762604 0.0760551957404364 0.0257563235767767 0.0246871211614445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0730330803097951 0.0703237411279688 0.0186373706924039 0.027059915973244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.131608129937828 0.129215455502746 0.0440356724270374 0.0940162590534949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.209484865956956 0.207292837615649 0.0961655899646126 0.235561319259474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0907763411328297 0.0872660613943105 0.100529580994394 0.0819758455248323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0815036981948845 0.0757156687179449 0.0408521810951364 0.0370160569889215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.139016059793088 0.132257600729215 0.0584948020909991 0.0971506982125822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.216362146451919 0.210051547508509 0.107840684289954 0.239695884493712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.116522161830669 0.132127011531345 0.150958176255972 0.408900346896435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0972529572264288 0.104271233543188 0.0620586783679543 0.111895659297566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.151763133369714 0.151802508455264 0.0721402338758026 0.13095859007037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.229033955366936 0.222407651417853 0.122095451655225 0.257522292513495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.308496811354343 0.295449947480227 1.27555883404633 1.18699594758874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.207256977639764 0.201591035682787 0.342792581561335 0.317065447612324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.231507441602255 0.229453326439808 0.21873233144668 0.268950181811478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.279599286719036 0.286821083406438 0.201605606689109 0.377356732813329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.574619328720083 0.615210357192827 3.66948058023764 3.58644533195412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.403800303727729 0.421269800247156 1.02233426121135 0.902153198492837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.39962311523585 0.398272248818315 0.590809304578502 0.608906802117405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.406093804481034 0.408930983087494 0.427785565676372 0.614819189142012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.123689963993347 0.123548454220407 0.103866673069462 0.11352706078465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.242426818747879 0.242459326564723 0.44412930377706 0.484320141944163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.414431625326249 0.414201797518803 0.982614747550577 1.13805903857337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.569819604503101 0.569506410351357 1.50682560393905 1.88276357423714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.124021437742699 0.123784555719519 0.104083965875962 0.11363782804691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.242590022205242 0.242530137062196 0.444568785608358 0.484463765269535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.414537518352339 0.414246970709708 0.982864904787817 1.13825938544967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.56988486086728 0.569548920325996 1.50704769933892 1.88290979729534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.124682635540149 0.124413584677529 0.104366186632917 0.113950573944412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.242626871753019 0.242577058533259 0.444343861915744 0.484451517021848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.414572471859672 0.41425970482365 0.982930067034522 1.13839383768357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.569902375458952 0.569553700665868 1.5070711384451 1.88307392904622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.127317136440859 0.131941726238177 0.105974047642417 0.169760577541428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.243400476766746 0.246390102387475 0.446036107688555 0.493931527715716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.414924799562486 0.416444621669284 0.984427741768825 1.14047943675678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.569969415639474 0.571007524040709 1.50750168660242 1.8819404208551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.163772852126112 0.152933615049926 0.333434076666611 0.195059370572485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.26028686614066 0.255064924698365 0.500030153821584 0.521236583983591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.425349052771971 0.423427419601466 1.01641925677978 1.17546555632769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.576622442190182 0.573753922266869 1.53240572267274 1.91343696366729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.208506593159748 0.207565718064394 0.522045705977523 0.57475186924627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.288264334073599 0.277186505358771 0.586728362107426 0.588996364029969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.445216110704901 0.435147058473647 1.06259303066625 1.19946117225056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.591655885314552 0.579338854597263 1.56051733972602 1.9211338125675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.125957728053588 0.129219129813771 0.106338409951014 0.159543037250733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.242591451071033 0.245948697161546 0.443979078722776 0.50803881752319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.414504903148265 0.416728499259533 0.982691409505936 1.15551233989584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.569919401151179 0.571417234320699 1.50730514274015 1.89799013057774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.134209280726056 0.139473696329647 0.139533634580192 0.215448423307165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.244820980839593 0.252267104208055 0.447733442666538 0.528477217190498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.415610555268487 0.421259298253491 0.9832372164839 1.17087888071459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.569363793069733 0.57391484084704 1.50380312566204 1.90966999359863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.174815809577981 0.171755436894294 0.418616366739957 0.369210013311499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.26114159138939 0.274751273469582 0.497429649901072 0.615406749694945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.426039400940699 0.437150758680854 1.0094585016529 1.23682210007438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.577294926417831 0.58457201533688 1.52202761998241 1.97074492254238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.375650540657565 0.371747860459518 1.70718797126486 1.48546691457674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.372383984972945 0.367656113157724 0.857601989773676 0.880593552044255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.498935489335331 0.497139066071893 1.20735056867861 1.40587631626131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.625207981905646 0.621463043988116 1.64594280574579 2.09946968024214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.68418845004457 0.663204182897015 4.52087259355095 3.41921851291484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.554222325518643 0.542911432518125 1.60250875567615 1.50366221286531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.614989493265052 0.62168797673119 1.58132660068569 1.85648591943576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.699815967375505 0.710150505602787 1.89337072519484 2.46818362344651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0632768053185876 0.0634280412308935 0.0104727200328682 0.0219639595480357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0706040972444446 0.0707668412599164 0.0173295027615255 0.0304204841310007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.125313990319765 0.125514035028792 0.0515428822194626 0.0948571184121084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.19405998833241 0.194374078001973 0.110991663053085 0.224638491818594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0681373572883085 0.0638550933075499 0.0538016514130597 0.0221001931771252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0742601304872975 0.07088279055256 0.0266766474871251 0.0304741216721238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.12926203118939 0.125524324620132 0.0571508865668936 0.0948507507367748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.198199543072866 0.194344250539786 0.11579828431479 0.224570363957041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0697151474903546 0.0695313611329383 0.0544048279437859 0.0729794096656999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0760076608071992 0.0748728306927547 0.0284399076513061 0.0395987746393761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.131831889795 0.128266965189082 0.0599022716496333 0.0981890431322438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.201202956625971 0.196370603409957 0.119236975487093 0.226449402291783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0733550115731362 0.0691066870354246 0.0549026787404341 0.0237264223113503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0755424702867935 0.0721308731717264 0.0289166722228293 0.0321801317493701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.129784691696122 0.125987124401912 0.057436916495184 0.0953303691072825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.198761842621884 0.194516325204268 0.116686943817793 0.224771498673439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.102282748238518 0.109921481301049 0.0957433258749818 0.198051156326466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0877922939799684 0.0923664325611925 0.0397282317648949 0.0662933983589699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.140825073610933 0.139687852229655 0.0712272997594164 0.116988063654166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.208285318257661 0.202825694894965 0.128944407209982 0.239680849690564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.151270837918904 0.14935570783752 0.334585240859628 0.311585982915184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.109565685095969 0.11873930615608 0.0770389407936235 0.120716699913126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.152287979161092 0.162473747000995 0.0833461543691037 0.157256316452006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.216763887168249 0.218452843906002 0.138358072882499 0.270930395922471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0786579748677819 0.0794474338375764 0.117863902554613 0.177540808899669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0820414606970033 0.0807271094823773 0.0401338072744736 0.0562885498228502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.137276263535679 0.132910205246987 0.0673073285868546 0.106374692997147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.205218960438018 0.200621856448719 0.123676700784853 0.233424203082542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.083704308413761 0.0900163988268049 0.0651277989211541 0.205333874126874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0811848664141762 0.0847923464146361 0.0328793211622822 0.0637037913134763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.136337572483013 0.134928792873764 0.0652426116745672 0.108537570824784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.204032809439834 0.200264182744858 0.122391619838162 0.231567029348496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.108438998183475 0.140959315265595 0.0844348951091125 0.50286099839042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0965526427330237 0.11192837240045 0.0506946366560727 0.114240370002042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.151523353520264 0.153994809364398 0.086843408495618 0.134481052853889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.216416493316488 0.216753217458285 0.13893068379959 0.251090740324616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.307743884162757 0.320074375337427 1.18617485049037 1.29749171113636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.2194873114588 0.222637550913965 0.33258195179937 0.337723103525022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.244852171827245 0.243786485439018 0.252000315722268 0.300896971809417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.282848826477263 0.288339747968431 0.257674710411251 0.411325676592106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.587585900843491 0.560673117066659 3.43843528950665 2.57563342684923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.401332891456009 0.389298976724285 0.978108766061147 0.765833489510247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.376047643254742 0.373104483432935 0.613722079715522 0.592989552988032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.374501845547226 0.375953252996977 0.484736515601837 0.612534316869937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0524659251519375 0.0524620452098728 0.00341156061113732 0.0108712942727547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0550529633363134 0.0550536732269384 0.00509296578340416 0.0151758632309555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.103150402343138 0.103135867325036 0.0171295020025264 0.0531723436741041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.169542090196236 0.169503427661865 0.0410649425018663 0.137701329775218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0526922580929457 0.0526611468687743 0.00346158570304963 0.0109455401329109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0550982289856384 0.0550802152743694 0.00509716166815123 0.0151810471784901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.103149664610161 0.103141941947592 0.0171293514827916 0.0531763862617377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.169555717359358 0.169532578987963 0.0410689775851967 0.13775330476888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.053283392082942 0.0532944171027912 0.00360943991800909 0.011180563925938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0551653724813087 0.0551764360437199 0.00511036490437692 0.0152094903341453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.103126524094675 0.103191204487901 0.0171294051051122 0.0532688421199136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.169550733984378 0.169556336540695 0.0410676406331014 0.137787825025534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0555349129763829 0.0557349797289686 0.00419180204035838 0.0126659853819321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0555324910120219 0.0555517379579541 0.00516513621949589 0.0153176396774434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.103202890547006 0.103258471086093 0.0171624485262239 0.0532749335190527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.169624437750076 0.16966997340429 0.0411046146791093 0.13796601740404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0841389227351026 0.0837705722966876 0.104100586880882 0.113675695634028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0669553939382104 0.0667033037136561 0.0269236663748168 0.0383170652161607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.110897312283326 0.111053112341809 0.0268401725702445 0.0645774696063765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.174663305001608 0.176754475018461 0.0481688018885805 0.147278612305875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.127693940304074 0.137349126721532 0.270895452610447 0.390605766691955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0880971319567123 0.0966769659526713 0.0619304186505238 0.101119783557923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.127439747116748 0.134153774035398 0.046809377147628 0.0980677687501724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.188213146168797 0.194533672674162 0.0627527844789754 0.173128033667236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.054648136928382 0.0545992062156459 0.00436647583563713 0.0116404191083796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0553838923307326 0.0555527886722622 0.00515113023253342 0.0157915449829362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.103209394695709 0.103217774019347 0.0171496608035985 0.0532283296644159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.169613977859336 0.169666521839704 0.0412118195930122 0.13804867281606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0613250046227656 0.0675100552560273 0.00715175871374363 0.0814742943775172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0582177254036598 0.0613726952265367 0.00735207349175445 0.0263868484357526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.106924498801066 0.106626348159808 0.0213653733381997 0.0572064856074397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.173500841035012 0.171951100088228 0.0450967727516343 0.140103812540877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0942812229038436 0.0945725767772939 0.190639497171319 0.171349349212881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0737570148298645 0.0722994975759442 0.0476186090175136 0.0444735988242419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.118896379520238 0.113899734763309 0.0414755802383202 0.0670582757049196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.182615707784047 0.176754590079104 0.0590226878161504 0.147166477582891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.262088959930452 0.255970693796496 0.990010910664814 0.811211780432141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.159416694952342 0.152998862712014 0.226267190517428 0.202053900359041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.182069065246598 0.174379445482121 0.137693809936004 0.165422357890672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.228073050555743 0.22242614294146 0.121128327623392 0.224032638420081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.487032627832485 0.441156166073763 2.60512529156193 1.6498210269938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.304018220303629 0.267291914340151 0.695390149017188 0.459998458422264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.289112314033918 0.261894751239493 0.381292489169442 0.306572592600012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.306038605693699 0.290636005415434 0.284333886867126 0.334733412273701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0640285988561025 0.0573066303872731 0.00801193257053399 0.0142601706016372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0161788808599573 0.0150390874845123 0.000637231205779037 0.00123619020435017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0152708574741689 0.0145843755617438 0.000590384573363499 0.00151023303625462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0209492032735117 0.0183778196447075 0.00121075481684178 0.00336107921160278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0689122294305873 0.0835076768783372 0.00922362392676398 1.00349082226152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0180623209866204 0.0383783042700771 0.000767704899774855 0.249552296857543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0160414177178636 0.0367023001172755 0.000668484838875905 0.110378961840398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0214577109984544 0.0401522940057358 0.00133996572759647 0.0646625606620905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0792288193503511 0.0930941540915303 0.0129475130054187 1.00766150595823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.02244584764306 0.0429738727020062 0.00131138255956043 0.267924105620042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0183567039052116 0.0388185919486431 0.000887132407765189 0.110737198198342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0230867028988883 0.0418892643169066 0.00147218086048016 0.0660970100826724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.143028603451457 0.152854909082389 2.19862990287794 3.02130609539233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0709510581196094 0.0881941153187606 0.645673527978801 0.856128007579805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0627570141910102 0.0806696161641373 0.309530855485681 0.383542148513705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0661187535171669 0.0811174711155979 0.176567831375348 0.20680823622074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.305654894818652 0.312975501153974 3.45380833016847 3.93739350141273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.146984377186395 0.165853871601389 0.994121807990697 1.14839421127041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.114550069434098 0.14146551773899 0.46160700831328 0.60698126358571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.104229819964489 0.132678949172804 0.271046505628826 0.323512895582664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.583196659774342 0.636665616746227 10.5115496376995 13.3170573420983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.335254522368237 0.406350927923437 2.83579241161088 3.84002354783745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.262627881267457 0.358009701227797 1.14414371791041 1.73751124947903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.233386282511447 0.343504463643133 0.6802121466804 1.01450534140154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0935746404582716 0.109336470933692 0.018751495910275 1.02510584701293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0274613119067349 0.048701865185978 0.00179877328743474 0.257784069079025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0206834618403318 0.0420251816266781 0.00183270832608868 0.111353323459439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0254235391569998 0.044440667870679 0.00501903629543391 0.068201700081802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.143549041174223 0.186057255459029 0.0546911988171344 2.36621663667678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.049239860553903 0.0918553522429329 0.0237972853429945 0.568976686155147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.036976055935683 0.0729966042780493 0.0255327017072211 0.219545833701153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0402949925918193 0.0663198452598168 0.0196562923352443 0.106190594249715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.279565513078552 0.374392756959485 1.21369793244902 6.7844411411229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.113233524286814 0.213760654630803 0.338301090382854 1.90440592160739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0877173596979794 0.177436424927489 0.222282884329256 0.816057381903572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0804242367577217 0.167925809626798 0.118585429756316 0.493008167000696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.18186953524141 1.23139554748956 22.6903749363471 26.4027872147123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.695483437538207 0.726977658909221 6.67495968290433 7.02305861923984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.577708775359968 0.623970996268114 3.33305045686055 3.36479348786952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.523464345444583 0.562800321003403 2.28099772162687 2.05381726208124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.54742677063475 2.26816740263038 74.8150331701399 49.6063528969549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.65679592123972 1.39682826552815 23.6391949212069 14.7097189988904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.37737956805504 1.21260958906731 12.9936254071339 7.60190394349689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.20120733117829 1.07509578850647 8.82607199217656 4.67289367880839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0969564696730198 0.0863628362791475 0.0258126505252954 0.0271321940632655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0383077013214673 0.0347815137070247 0.0065001539133733 0.00461458539940956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0498995466566799 0.0444950686273148 0.0169870674441325 0.0118635903471115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0866201234468526 0.0739279578532005 0.048370351413112 0.0352529672039935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.100299357475121 0.0901394696923706 0.0272197398526533 0.0285413403248083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0393166544050199 0.0361878786013012 0.00665130896767889 0.00588596343479342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0503132096914177 0.0451157716402346 0.0170291615681761 0.0152269504568838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0866089589211966 0.0741457155090704 0.04826739816912 0.0356939824231614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.108586178333907 0.128751544014904 0.0322011484956578 1.90964256568118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0450128283305698 0.0648246619270997 0.0133396664753509 0.451658423679114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0580203795746442 0.0694023185840747 0.0297404810521496 0.172360965617504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0975009346034212 0.0939813073661595 0.0662426170249132 0.102489252490116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.176132407933771 0.185236361899021 2.84910724246714 3.90075193983267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0971212515840955 0.111750602430959 0.739055617914307 1.04766278072081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.101236603344981 0.114414269250557 0.318099690877888 0.461722935684378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.133811707580173 0.140052493101181 0.208533223283836 0.284382848644607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.27248011309492 0.597365490260472 1.01248040595065 24.00099321042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.141519295910314 0.413483259767135 0.390071334917169 6.06263475398747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.146461106902966 0.363446144649385 0.246848797255906 2.36799248459348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.198996372033795 0.350969184445452 0.300363073062138 1.25517846452635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.550498180339164 0.846688577300658 8.94813463579719 28.488946043086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.306832326816528 0.582558773302622 2.08052903964701 7.2856946164812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.254257462826824 0.507965999140245 0.816793213156734 3.08758278664571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.277815351306544 0.489908044683905 0.596630205234878 1.79457976188484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.152056255218503 0.112786132671022 2.38822461554068 0.0407254292440815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0778042579175395 0.0459066052075333 0.605814129840166 0.014977180488226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0829328997535218 0.0509682866448924 0.270866397135023 0.0177708706691334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.116841470203228 0.079761619611548 0.191453671213273 0.0454692242988278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.242688336593538 0.189707220476559 5.01286312690627 2.02884591807844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.137887691981236 0.0938133078338233 1.30259070057626 0.516550545372316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.131185490240828 0.0907901878936813 0.574596265228701 0.241241601740554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.161567581891395 0.114437171405123 0.433679086347777 0.180320642170869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.37194501763844 0.363558110832996 5.64473880296458 5.32576284898454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.18987630608701 0.18212537670092 1.17715966399401 1.07875363696087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.163107757132351 0.144167353072154 0.522741550500924 0.400127190391365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.190456219511465 0.153052733330162 0.423631515374389 0.287520900582401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.44036234544386 1.49316679304339 40.952878838036 36.8538429007373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.875871845737673 0.968775117757031 10.2489043061492 9.61013903998696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.724717509997415 0.811931153743699 4.61785830476898 4.3770902599854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.678003312317792 0.736892417926438 2.80519669313972 2.69129339869696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.81371777298801 3.17804391937001 103.092411721502 94.5542068645915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.82576389889884 2.20653936327856 29.0412211012 25.2998258672036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.49474927361615 1.83894564394709 13.8660385585123 11.4242584410402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.30721080358426 1.5696869039778 8.01995868132527 6.74605527346798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0337504652374742 0.0422355204340614 0.00430638108098486 0.00578888940675472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0116707744488471 0.0119247270442383 0.000646937421693203 0.000454213723198066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.00722700539137809 0.00791022508725084 0.000261561491487004 0.000138602865587144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.00983660969523932 0.0105152750168883 0.000712221659432636 0.000381496670249252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0397366060240157 0.0473240724460682 0.0055295722932492 0.00691157491240312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0142239694709856 0.0141523889567995 0.000811159066568121 0.000560675783152314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.008446498783565 0.00884831574879708 0.000312552889388471 0.000166897448401474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0105244302295696 0.0110602853969058 0.000740100958199029 0.000402097626622286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0517876990055768 0.0581809924542407 0.00896894624189016 0.00991622287297117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0189748474865424 0.0185286627376547 0.00124452253001192 0.000908277464388832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0109842093676561 0.0110802858229277 0.000562378871687322 0.000504300884657461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0119689833774425 0.01222262874556 0.000821176769654601 0.000487372811500702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0830057576557202 0.0865838650922034 0.0228690780681903 0.0209720602343143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0314700258672781 0.0296243801843134 0.00897536540732506 0.00794983021388776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.017772062110411 0.0175300837806068 0.00107659159317817 0.0119920939801374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0173300212109407 0.0174317282782093 0.0122970195850896 0.0121757575034777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.26546699425984 0.26600653217223 1.97896512230006 2.53136374298661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.126614145019959 0.127189225737612 0.564208476684279 0.771961189200316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0965124881042971 0.0924149268924298 0.296023865751291 0.369035411808189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0928690439329845 0.0758049030923821 0.224854752651744 0.177364745055112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.487750527548201 0.560140844837027 5.11721080430149 10.9708983665802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.238546144597512 0.311392139987172 1.18393294185702 2.91442629602489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.188956228380755 0.254162826847512 0.661501277644932 1.30096350812337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.173154340719849 0.228980664790339 0.402802583888147 0.708236153359791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0721086994016559 0.0761176225510059 0.0181819740940761 0.0184052039815748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0267337579993019 0.0255782868614454 0.00451671347496302 0.00241084397882483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0154187439247849 0.0147704484237879 0.000853297352619374 0.000533436054804483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0149998537589324 0.0147533518645174 0.00105414803150217 0.00093930607608116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.130420240915294 0.129102510826144 0.0625031337832352 0.0569491185709122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0480576598078672 0.0459430122902977 0.0073566378939561 0.0223465007472941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0285970139007589 0.0265864791982447 0.00359697148135529 0.00383228769780896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0249633796987206 0.0233814373165688 0.0169662859086462 0.0110144616257821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.263062069772156 0.251764358517707 0.268026341235344 0.170341474436217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.102641779692 0.0952479429115792 0.0580696974427236 0.123054680371174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0720412552206014 0.0591385987981225 0.133125394411076 0.0674671614538951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0585694783790326 0.047985237922757 0.0863967613583747 0.0689731882664656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.39996938452258 1.18228654558341 33.1691382540177 16.9547632968419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.821005912282756 0.641129189106371 8.90872844095761 4.4765281845072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.66225609379362 0.484732232423525 4.38682691089305 2.04160345689336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.573418768190203 0.41007332249467 2.77151887363922 1.22890907483987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.93081833331758 2.29565900976211 92.1173308263209 33.5007959126285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.82251474954998 1.29502218658855 26.7416126204225 9.08288191318842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.51194885607134 0.996860817628955 14.8456644400942 4.46307636063871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.31840424359077 0.836923977325403 9.86295263290408 2.82791406989174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0216399273784814 0.0272567364384864 0.00136364778200948 0.0026104673134861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0043881434215979 0.00503753665161703 6.05278861549251E-05 8.25286491713082E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.00316080404613158 0.00280829207992546 4.52021352713445E-05 1.68654605352332E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.00371077237664174 0.0026762968624527 6.99902607183565E-05 1.91338448859065E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0293692128846316 0.0329221800055608 0.00237354560205398 0.00359315732376026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00859924172532067 0.00852991526401541 0.000249852976830003 0.000241397424513438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00488139131816213 0.00431604293818027 8.64099157496334E-05 3.99070083400928E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00482206845761099 0.00367908324992166 9.27072720314757E-05 3.30309211693274E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0432470788492541 0.0450343943780585 0.00532909819267742 0.0105052398293733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0150348706019892 0.0143339449126078 0.000743173840033258 0.000709693909512682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00788785174308999 0.00701287971582766 0.000209701704100319 0.000110689433641659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00689452719702986 0.00554111647927884 0.000175231621093048 7.54168549698234E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0772376817808086 0.0761695795433098 0.018406347640547 0.0175435234991611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.030569089164341 0.0274614471844712 0.00350106152661747 0.00247700487929112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0168711520466923 0.0143174403180688 0.00804907505746825 0.0167893090883477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0135821379816388 0.0103398197993098 0.00157166275460798 0.00030994624115098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.311444829441707 0.272761644994274 4.40298708331309 2.29903285233712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.171650222395472 0.129661333229831 1.09320989253755 0.547318821357964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.129067278089424 0.0831699410194311 0.450131469519426 0.266125031078257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.11985477827469 0.0685487320704501 0.295830522437459 0.144381671702433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.520734121294892 0.470099325980518 5.63129726796316 3.29036406038606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.28497854444874 0.217982366935535 1.62462898111728 0.745654145311058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.202686688311827 0.142056784904971 0.588716170533483 0.377851304241575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.18343210422783 0.118099135824127 0.413548199273558 0.229681325601473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0659890206357597 0.0632117301429981 0.0176257539510747 0.0119083594433492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0339195490784553 0.0227708275218676 0.115838420520859 0.00580087184808877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0253453784410966 0.0109046702983256 0.077455641185409 0.000285447790367181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.026228385015593 0.00816624563581136 0.0586625962730054 0.000166049053519403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.12759954952774 0.130143843577353 0.0613500144450488 0.205302278920339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.056835340473641 0.0539120340976039 0.0491413553021372 0.0918180398329609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0352979925818021 0.0236862102857486 0.0191045790747969 0.00220458592825109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0310519971771088 0.017513413633871 0.0120933686530272 0.0146152513328638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.29627325271789 0.249561893331918 1.60191767377329 0.252554511406278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.142626489827879 0.103437117562018 0.447605838915147 0.0786886948658695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0889763542937642 0.0586081131513269 0.173932295455101 0.0625134443662352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0793195155044528 0.0455471890014294 0.159510370349802 0.0426712275935347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.38555866754422 1.45414139311461 32.0186926813601 33.6457026107781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.797218375080955 0.870867022630072 8.05905073240276 8.45985197136893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.639370576791423 0.674006463751203 4.24352866853096 3.66495128297965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.592616567406492 0.585631020982627 2.98413141269539 2.12297108424939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.7175829981002 2.76082309700522 75.9714643776616 52.6526656749631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.59471994412332 1.61064207615705 20.7052436642773 12.1008664249917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.25781333821093 1.23365174819432 10.5426750434834 5.55422604059203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.14956073824885 1.08720663234504 7.78813267696418 3.73186721459497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0620271326074088 0.0657658881021719 0.00882980759526363 0.0175794717258679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0209729322622654 0.0208919573013798 0.00115364965727102 0.00118052508772888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.015658722474451 0.0152536367966219 0.000672295115393226 0.000880369395424578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0247264200128337 0.0224547247930416 0.00169068106905531 0.00244823380008578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0666033952354542 0.0698417088607626 0.00988149125672421 0.0190723571444781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0222291337696086 0.0221338886429121 0.0012851157620171 0.00133126390902183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.016252407034902 0.0157901266999305 0.000712126685078869 0.000921836921388445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0249672137660829 0.022780184684647 0.00171786118427597 0.00281595281928906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0767502307855173 0.0788482063467706 0.0129756926622859 0.0230932673314599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0255639074357129 0.0251782872399894 0.00169860429545927 0.00165947564381856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0185806906142279 0.0173138620850946 0.011929565427442 0.00109321501517309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0258552163302857 0.0235021335491053 0.00178941497473714 0.00302956482024396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.10330075444616 0.1036870866341 0.0253007545610452 0.0368739392918815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0358506463730407 0.0342051317211077 0.00367098563226267 0.0030749138705258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.02363656313048 0.0219903806697377 0.00146752608068002 0.00183249158654407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0305280951349922 0.0266960952783324 0.0242574482786097 0.00996895665090424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.306638103469787 0.35610120974329 3.31744013426766 7.56941838830529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.164040219059816 0.214548247225006 0.842528383827365 2.07896166458948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.118586204848077 0.18853187797231 0.316702360470765 0.954396342649376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.101980159684008 0.187152500712251 0.184529585453019 0.570249705087579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.559562064228575 0.603112806115597 8.94970311535873 12.4372156788118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.321649314921367 0.371102971961093 2.38511081447527 3.4590988638966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.243467013051229 0.320193601826339 0.989668819188669 1.61172557378962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.208482717686616 0.310000607758858 0.550630438663975 0.943762532306926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0935469933022759 0.0943992541254842 0.0198422558374079 0.030742750529522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0317721906186093 0.0317629372462343 0.00262934498586257 0.0278384843846369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.021760216634113 0.020177008406429 0.00666145611387024 0.00154665875782177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0282340241269217 0.0253768552157959 0.00367463170051336 0.00462671399141294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.145526849487243 0.144136975840428 0.0561252398955469 0.0705099134168999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0532675602248337 0.052128851045239 0.00951402742919524 0.0629396886073583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0355888357532212 0.032455212883348 0.0333876790825299 0.0470701154688742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0375967420778494 0.0336196659141022 0.0240337837873615 0.0287134160053977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.41352081645107 0.281260437272162 9.47976536296991 0.824694990284871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.227751826077468 0.125278647449427 2.27512477705258 0.26585475335467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.176649197976844 0.0969603130038891 1.00134958979286 0.209977944527178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.159368336099881 0.0975900166505289 0.570076737561241 0.187041520546641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.43875149553566 1.13960246780785 43.0269773114649 16.771454654734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.883931371612104 0.655567111992467 12.2988979606954 4.6179252828155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.71025250041226 0.524553328788618 5.91919348297909 2.14246312006261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.633343881356715 0.512059695709843 3.75738200694439 1.75984421524679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.69614228629372 2.33547834964248 88.9883610928367 44.1753866735384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.69987081453342 1.40688946140507 25.4589741891591 12.2248514064297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.35565056412364 1.08827032717457 12.8737732678866 5.83855576946651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.2153566772738 0.97144420410828 8.78087707818729 3.9754926820599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0542752978201849 0.0574415499621 0.0139663696925951 0.0153547303485128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0186071329891081 0.0222970229762628 0.0019911801102872 0.00277337076784594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0201601304225999 0.0252846379587729 0.00250409043468244 0.0035923684202956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0318399777988949 0.040606744522354 0.00635434842055969 0.00927037671086342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0605656282674526 0.0634060415033376 0.0153450053701698 0.0165609251395791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0210522759983732 0.0244583702029863 0.00215803289814776 0.00292723895531001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0213234212986667 0.0261422493991961 0.0025826291417877 0.00365276420582011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0325544076601871 0.0411009106841671 0.00641905570538733 0.00931474983692913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0719364122388012 0.0745913110326948 0.0186971354007475 0.0195106327432807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0253667663495249 0.028354124455373 0.00256375543972901 0.00329363805875307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0235948880388113 0.0278560778146169 0.00293101090326527 0.00378369852823123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0341924421480049 0.0421662085558784 0.0071753315893387 0.0101352047872807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.100389716279397 0.102537873412729 0.0322150686680504 0.0306216329947085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0368188189191406 0.038264559318666 0.0141248685174518 0.00520566895141845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0301480854371177 0.0335959779539665 0.00589868605943859 0.0153282931519888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0396109172677974 0.0446472001323339 0.0138542358713226 0.0114602740113265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.29099498112395 0.250228754246385 2.31057421027401 0.345165395837967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.131353590736726 0.0933536733183549 0.523676956985709 0.0979071542393587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.106104660354454 0.0678022165373978 0.286426212379005 0.0830661580135413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.10479050831507 0.0666868074183932 0.187965611314923 0.0264396029482773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.49993244085782 0.466249040135488 4.47065849656087 1.40760437917275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.230742981813423 0.19536252061775 0.972937402044844 0.34757255915312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.177936548332903 0.146790398380404 0.482288170634797 0.278627205286514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.159681765845495 0.133845941139277 0.285239541799969 0.17044732511692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0902424691807586 0.0922790383543344 0.0271897550518117 0.0264520513401679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0320954269629047 0.0354312878461843 0.00350410145925258 0.00449425737482056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0275443150231934 0.0313568265712203 0.0113139116004474 0.00426221421310915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0360211150161103 0.0441055538661068 0.00746409820990205 0.0158295596813716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.145516456161414 0.146870767621857 0.0735130967017278 0.0876296118110044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0544570353460823 0.0558681731884362 0.0265273928262035 0.0443401960500811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0415344131436422 0.0440524817756318 0.0261228321448954 0.0214778933115109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0455403124380675 0.0549102197945349 0.0112113640985155 0.0351410689985324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.334985204902653 0.343394552583852 3.27890579383955 3.31443562432627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.159640045283972 0.161385508921291 0.753248381534286 0.736405115097883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.125870646988688 0.129226469766508 0.329530846563246 0.343412312335088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.11992590655297 0.131443568567258 0.200544529652284 0.244480869194511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.53079613805493 1.6447427660546 36.7768170550074 36.1891767152524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.886970637864311 0.979741670815394 8.5318483613053 7.95628399563546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.74748697894884 0.807885427356138 4.14756157647207 3.4500748301308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.672549948701535 0.707955962108589 2.74158089353175 2.07764976859958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.76535238038336 3.28008601968685 73.6199608532957 74.9288390534408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.53601608048183 1.99902035870938 17.2657213863987 16.1255807897086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.2063724956895 1.65674464747992 8.5219999816294 7.33232927252679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.01419924635975 1.42860383877303 5.42810831349709 4.4438060017489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0702180113647023 0.065682729281223 0.00978378254821214 0.0181852260807845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.019164320669009 0.0175084064788516 0.000943499068937022 0.00140931212963579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0158849151570987 0.0141331556214653 0.000670116870514905 0.000958785932741829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0208334016451155 0.0172517118395478 0.00120807652956003 0.00172935203448297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0744871175014337 0.0688470958707474 0.0107433678844164 0.0194691010083061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0209196359694071 0.0190511699207017 0.0010890806132883 0.00156683673129137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0165974367357831 0.0147669464358851 0.000706835078413961 0.00100167337151663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0212049705058396 0.0175278006411964 0.00124446911492719 0.00175508704618243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.083273392000256 0.0766917866997035 0.013380388657905 0.0231033850381847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0247115423478927 0.0224899310748852 0.00214583753758722 0.00198089620936486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0183410213798382 0.0164533823692262 0.000811301858619592 0.00113233794955469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0223988858651718 0.0185023003138369 0.00337354913429688 0.00192727841256049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.107606010445317 0.100864572479308 0.0249368289863622 0.0425658043385938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0348870658991458 0.0326345565128289 0.00871924719482095 0.00426571213570593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0238601542899225 0.0221890546543471 0.0035564389936958 0.0020180007586971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0263644091018082 0.0225402627775442 0.0163175106216937 0.00341388418549467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.24095900420853 0.249565005209056 0.165456185828357 0.867228763472899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0890473379105286 0.10218193698904 0.0924756220478933 0.250154562758441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0545238706082762 0.0693603318810008 0.0204511047113063 0.102263484770851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0475195420717333 0.0611660965723427 0.0343554861411147 0.0640480968835205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.481989782094176 0.522369773330244 5.11341207821234 6.64262479425879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.241091423911009 0.287596897249888 1.34480869572665 1.7322260683535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.194486286878884 0.229967772788367 0.630254536094661 0.704286862733535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.182736159760932 0.205062144578974 0.420958885733457 0.40135515703192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0978885689046089 0.128972661355001 0.0196080092236052 2.40185138266989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0320317937925894 0.0685265479092788 0.00368443541650934 0.662735953161069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0251830748680992 0.0583445385783159 0.00421285143932433 0.28172906944681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0303460574779941 0.0574205662383377 0.00623518679327312 0.146537868738022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.145361332462724 0.177618972088025 0.0534300518228404 2.45410034085072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.049840210809722 0.0874054587941461 0.00737161805256121 0.671452763706167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0350542671941308 0.0699665807856685 0.00599764175208233 0.294517388148948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0371471494167861 0.0650203139763189 0.0139378885433961 0.151396078629822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.315720265012444 0.309862491116752 3.01816846316132 2.99135459716136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.153459434885214 0.145042117342706 0.805356503872685 0.801803553602317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.125273901945718 0.110529463037368 0.41553743101116 0.370870164400568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.11414615593918 0.0964048082046253 0.230176380786005 0.185155611087093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.1706593486194 1.05899094380735 24.6611229390276 16.0518726192145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.687636217214515 0.573661484652781 6.56072293000743 4.86619732794636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.587316206216281 0.47591301967093 3.57639393692883 2.50763196063229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.520022955297015 0.427663316140728 2.10271679317749 1.52362043249874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.50717359970792 2.20399826980094 79.2989772261604 41.3017509822666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.64986625936944 1.30605600144784 23.873368884626 10.6177991177799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.43395879848092 1.0813156929476 13.4394899019558 5.31374705962654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.27172953884197 0.928807693254951 8.63867404779388 3.22525631571985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0858727279336725 0.0663184961939391 0.0269601376831402 0.0228775363730749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0384490144130587 0.0308248630947072 0.0112375207727816 0.0108200348498301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.053981407533473 0.0426089132318153 0.0339962335889399 0.0339433347845513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0900363010984531 0.0688444862252853 0.0861014431489449 0.085042380171843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0895062771525838 0.0809217290608137 0.0281293368814006 0.472695605014543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0399601206366552 0.0425606939376028 0.0114753803378488 0.114196240080889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.054550193627254 0.0536167188514286 0.0340731392404236 0.0813718493279811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0904968180613118 0.0794307125903249 0.0879448709851452 0.111652765584057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0979340968418265 0.0897487198836147 0.0313944200054903 0.476537989532064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0435007882238406 0.0458861937660413 0.0165206086655658 0.115587261268847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0559724740068525 0.0551310662571955 0.0343328516038458 0.0826475559680724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0913431295548994 0.0800695963371111 0.0904385439396678 0.11165913620138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.122271800644895 0.115408786601901 0.0445909536756706 0.489957483578674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0527757544147344 0.0550812391375285 0.0221027180162967 0.119109021841517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0604152231488219 0.0596987517058087 0.0352886634462519 0.0961506161099863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0941981913551587 0.0821015007905823 0.104082984903951 0.112922148098442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.307652965926392 0.339823471765775 2.3266968280475 5.55960187123466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.155334729901144 0.182688101315506 0.551950236341719 1.24514616713122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.146270271406779 0.155482852059389 0.283235088032614 0.518415728679872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.175680148204234 0.158278970348161 0.265502388313664 0.344185783329096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.500336647624381 0.485239613379338 4.76958163532909 5.64955552628381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.255338558916334 0.234251922921337 1.16050328557778 1.32071288290746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.216671583792894 0.184347312225169 0.554307941197846 0.576328458056702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.234934990965279 0.181473606884767 0.499271328303887 0.431049303934257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.114162895934919 0.105361853837742 0.0647007107540781 0.382314984756693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.050691990481491 0.0476814725898422 0.0182729469326991 0.0567252837747903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0619710917163335 0.0515791062327116 0.0412767097918464 0.0439630236498831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0979384941098093 0.0724344070657304 0.0956377702544738 0.0883302714728552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.18032219005494 0.17131862219404 1.08822148451746 1.34020532607653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0869678920578495 0.0780570590935169 0.245877002438802 0.223024375164315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0905166582466275 0.070895788638587 0.154418531012869 0.0914346487189432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.121640996913486 0.0870040599165878 0.174574213443776 0.112629663676633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.315460715615961 0.293621664908245 2.31401991406736 1.95373197485327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.14976816427044 0.135447513541239 0.504303611319052 0.434982532777818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.128909421759425 0.112295273848594 0.237819499697887 0.212419736293426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.148099915803684 0.120506267966036 0.230769829533395 0.216600356445069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.29886536380848 1.20540719954385 29.9160775251258 21.0175240475541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.828558925819322 0.658790954542381 8.73057644370522 4.69322158659565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.74476737578738 0.522468929385859 4.54998087478902 2.11577053335061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.726975987581873 0.470796772329379 3.24307420448224 1.44468776303311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.43843471508042 2.44598562291467 66.6378579707796 51.0840641278114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.50099491115712 1.38442775483357 18.426621879616 11.3231293732424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.26979612352723 1.05987157482579 9.46780149276884 5.06023360684757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.1709009920957 0.890255390716641 6.41982346706865 3.29884811875532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0702938382037199 0.0332982314283408 0.00753109340825991 0.00648128482295432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0245974113791733 0.0113744121680792 0.00109198722418882 0.00082598869846759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0215081933526717 0.010201726893318 0.00095277979015743 0.000668000850438225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0294869691051117 0.0135868701050012 0.00216746296356774 0.00129116928031434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0749784038355995 0.0409178367538557 0.00838279588093848 0.00786615326546001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0263536875423233 0.0137196334983014 0.00120088290568497 0.000963211006083097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0225857448396229 0.0114046742066022 0.00102030459398791 0.000721877999115647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0301524237749798 0.0143049255432392 0.00222405645688509 0.00133562011879157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0849468547306316 0.0540188140252347 0.0144137306471755 0.0110900398547549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0306435702936081 0.0179026987403912 0.00259751950590096 0.0013034404876452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0258047335918447 0.0136353131321707 0.00397777154827849 0.00115035231174169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0331778243390131 0.0155824429454541 0.0147928443394376 0.0014562822521974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.108123826019897 0.0837058248742251 0.0250907383559662 0.0218455905851347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0383877731059964 0.0271667904653279 0.00365154723062804 0.00241767789753346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0302822293882676 0.0187140618934547 0.00261109483617207 0.00246968542363303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0361912025322836 0.0199054171346121 0.0044715449865796 0.0199817627489901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.268043300532626 0.328070290809767 1.16249009749114 5.2709726069962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.116446543492461 0.169213325983046 0.228645920528496 1.17327460699226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0965079482392171 0.135721130441094 0.15863193232257 0.467340717840888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.10791752009041 0.127928910422791 0.215877642640348 0.336458415666346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.492576955869567 0.57252981367645 4.53713996965681 9.40580143152368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.246894052415504 0.308277038354595 1.05781803514455 2.08730497913016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.214987103132786 0.259243340353233 0.706750868442281 0.997904065577041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.212347611458779 0.237335113554886 0.525256703155666 0.629015299652374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0985851730816746 0.0732094671851669 0.0186277081835014 0.0193088500171528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0354817847006403 0.0242198996922975 0.0037481330602081 0.00284725440954378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0286388593183224 0.0168600114099232 0.00438716961301573 0.00136512860420733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0350606410968977 0.0179420575964542 0.00672334673700979 0.00463644443634002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.162988898880327 0.129281350060049 0.893181417304064 0.183946218062223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0668568900678943 0.046224916548519 0.190303831745187 0.0505930665057153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0543419429802977 0.0313912918570594 0.101451314451949 0.0222913093363246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0595382868506884 0.0304877354725668 0.0828350465645941 0.0246420613194338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.325770798318926 0.246508296066948 4.08675875925731 0.291595278235446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.158273809466243 0.0884495258353938 0.979812751578569 0.0587224105873703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.135916161717018 0.0608233844773879 0.509193366581809 0.047012014385482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.13777199480467 0.0571737898024541 0.331518272861942 0.0725729614832558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.15555789184892 0.952330556717921 21.1993372576913 8.79955404391882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.662621539336894 0.456993464756161 5.26848328117612 1.95538029439505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.574189328268401 0.36509671418823 3.05174428036418 1.21688270602313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.517494031520379 0.311938644025595 2.0530139300162 0.86766501318202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.16882338219117 2.03769915053309 50.741401489136 31.5529584037046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.35005052052805 1.17154671578029 14.5182467970385 8.21263558389966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.17538801125049 0.923714535907097 8.77558068408707 4.00078776764164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.04014006925597 0.765075188501779 5.6786454086212 2.53422133954842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0388237296136446 0.0354478475852512 0.00244373811753614 0.00514956099618478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0129209992671169 0.0117984162154021 0.000262827754929753 0.000590988646119189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0105285331545469 0.00886517405713827 0.000142176769603899 0.000373123501592917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0144118644342485 0.0114212853825191 0.000328426559731022 0.000721706825273995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0431957509701532 0.0398756556516459 0.00324933888161014 0.00622687570564898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0143983622037918 0.0134431407125076 0.000343197678673685 0.000716412288811128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0112530091260465 0.00969706371251362 0.000167553745571148 0.000419789602940538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0147484760067112 0.0117627987721981 0.000345406506521703 0.000751243903177917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.053909977810782 0.0505890017104123 0.00572745338179384 0.00920244479052818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0179801405144782 0.0170902051563719 0.000592853571923743 0.00105711438785871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0131039125164431 0.0119616087378187 0.00040800394697681 0.00723675961877731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0159036788045198 0.0131704440919526 0.00161697251789572 0.0044630276933512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.105267005763606 0.0798540658427286 1.23926014065165 0.0204920502435928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0495860990210195 0.0283875610776387 0.309427389333802 0.0366664924008675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0392185852518677 0.0185063417121739 0.146470925489722 0.0102089648314837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.038278902787593 0.0183908793383504 0.0702237265703399 0.00434002935771625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.253154182991928 0.261974652052094 1.61135299970511 2.33098484904849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.105411975763719 0.11378971978609 0.354511161995776 0.533358431967533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0787080379870421 0.0848097914351272 0.219894875616156 0.269998774689737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0676059331978814 0.0707130593207241 0.118604542314396 0.12990076654673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.43177122241375 0.441420910102491 3.37166201399999 4.21817104766274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.185875496753233 0.190987109357365 0.806105146623705 0.918656870855946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.140624346423054 0.148425981994255 0.489892616041357 0.606487759654491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.115903350189924 0.118850034780686 0.270227882121915 0.281655714363921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0849079008190282 0.0675433192115586 0.899805964880099 0.0168550440132907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0368857574350546 0.023452071767018 0.22356894885044 0.00395846843875397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0268797439259727 0.0153344826267136 0.0799112417736258 0.00175268683792882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.02849600712452 0.0158267109472549 0.05105915465137 0.00334539896102523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.144959464949547 0.149362136221968 0.910623656428474 1.64445826143873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0576607647718844 0.065916707032593 0.165690446673402 0.337173950807471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0431338313236166 0.0499887547591952 0.0784285324858793 0.184982163327155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0437270217716036 0.04170456773623 0.0508616245401726 0.0816903699599415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.322576716707285 0.334037374366231 4.53276025351765 5.26895284722741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.15828367873726 0.169773418947616 1.09933240615055 1.16000820830567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.127434516819483 0.141629816915254 0.528650907242981 0.557265364311663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.118262380529184 0.12259464721266 0.275855791321785 0.295850335029592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.0507473727789 1.10591605959783 18.0327466550117 17.6967660598254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.556799173182287 0.590382366339272 4.67440004017333 4.2407622116022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.455943237664115 0.463461951097313 2.56841836208928 1.9497162800956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.39156610132841 0.387762897169656 1.4559248084383 1.1046449078887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.12557051787679 2.06154416273131 51.6770578876467 35.5449569575533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.23997099784652 1.2024363327838 14.5780202469437 9.52574920671442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.982974093140205 0.961256226367079 7.3599515065904 4.45489485789958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.83886188316714 0.81344097065412 4.60029587152926 2.54948056331928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.16147656242174 0.156968338891507 0.0665927660278589 0.150725761428805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.415956670152568 0.416950005180328 0.257130033590234 0.902757314286123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.66318082880843 0.667253122406315 0.577183146147784 2.16039298761271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.78673785919849 0.801469114906488 0.866714688021102 2.8862294005962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.161501011279784 0.15690399173757 0.0664949117649638 0.150663044464738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.415963186714748 0.417325715927995 0.256651956775913 0.90367407161711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.663209931998408 0.667185169878354 0.57700552948859 2.16005368320723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.787077359537253 0.801329691604479 0.867133697371214 2.8860795909542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.161749171541301 0.156947998438196 0.0667362772855782 0.15076689264058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.416070975465121 0.417751137784731 0.256454806194685 0.904891877738523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.663319844578359 0.667262334763227 0.576934513297885 2.16047776615491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.786877156827463 0.801212895010031 0.866762679113945 2.88577073049543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.162257127972177 0.157178006899384 0.0668430071170702 0.15100701446603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.416286457450504 0.417728160616884 0.256368936737363 0.904788886052877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.66355421787758 0.667290218173 0.57701353780798 2.16062883300669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.78678190314513 0.801041720438355 0.8668846550776 2.88500423991195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.165011449051789 0.159485952112426 0.0682054693410506 0.153635451385765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.4172472780625 0.418732006112573 0.257291801274179 0.907865945027644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.663480625213174 0.667563335239713 0.577596172988106 2.16107494832899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.787300285994868 0.800494321530096 0.868557263423406 2.88214357775702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.169029852313069 0.163752757896079 0.070103996095567 0.15818369374963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.419173011609689 0.4201482441878 0.259770388653036 0.911081939115984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.663481865226126 0.667766272920246 0.579087710878066 2.16187059289934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.786319822905264 0.800169421511861 0.867156581471764 2.87911082101823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.161550559994436 0.156879174745851 0.0666187800261969 0.150201866354778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.416084216972034 0.417710346862642 0.25692684420912 0.905201762440061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.662906018156124 0.667467120012066 0.576533946160105 2.16189029735839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.786774828535637 0.801123394184148 0.867892064018175 2.88623322440132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.162073934145924 0.157077115799758 0.0669123061263137 0.150022669309494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.415764764098376 0.418159516360144 0.256514640547152 0.906462547061645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.662813241017964 0.667679867703332 0.576029471185316 2.16298752520001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.786648040778282 0.801038193353795 0.867652274377116 2.8858704862192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.164137251836574 0.158750250781926 0.0679192716145969 0.151048292608474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.415421987637168 0.418590702483873 0.255205944196409 0.907247244760716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.662461611919769 0.668100969984116 0.575995439896821 2.16518807824076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.78660998086239 0.801404122328111 0.867845351541043 2.88744164889105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.181672352327942 0.174897463552413 0.0786231613625884 0.165224769218733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.423019401160549 0.424134078208993 0.261949680970169 0.92449588250214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.66187928710343 0.670421535381717 0.577863850382107 2.1758623125364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.785304129257477 0.801282899089189 0.867868657284489 2.88749682348334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.208147879711573 0.199843747740315 0.0978231201038537 0.193420461008359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.435335169826785 0.433825330864731 0.276892135469802 0.952338904090039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.665353218149212 0.674650735164444 0.588023700820423 2.19381460917935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.782561790975597 0.802337954864101 0.867181829261878 2.88539604030262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.20647790470856 0.155473887035518 0.369542114054129 0.144045041484465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.377021205218439 0.309514682119042 0.849705991799548 0.478147554354612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.476866065223357 0.392693738538129 1.08660459244569 0.831318040980997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.503150244473646 0.411549352965739 1.13303410285892 1.14968333197946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.206624090536822 0.155497158989603 0.369751225371451 0.144104624809523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.377066895889976 0.309479168917871 0.849798458457201 0.478384427902038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.476729621218141 0.392580067296959 1.08644036485708 0.831141065889475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.503197448096677 0.411541718851517 1.1328322173776 1.14965284102793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.206865881593285 0.155645575066962 0.370246837409984 0.144244516828502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.37711931536426 0.309478653645803 0.849971892986172 0.47842767487412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.476658824192431 0.392718338467415 1.08651582652294 0.83143676700465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.503071288173311 0.411625603766589 1.13249446815328 1.14976736914363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.207371787202431 0.155838995396022 0.370862676200841 0.144452884577076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.377141042345848 0.30937648700255 0.850612914399647 0.478381425281516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.476440106506434 0.393082464152182 1.08638723554223 0.832517204977965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.503025010798643 0.411626206096045 1.13226524933321 1.14963696236726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.211154426090247 0.158944543471327 0.374003766462775 0.146199157499886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.377640687515883 0.309315683030289 0.850508708762562 0.477864972026225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.475051270897313 0.393203101959238 1.08518839875965 0.832610742428671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.502699045421629 0.412054811624978 1.13038271217354 1.15043661310597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.216580203140205 0.163902187168812 0.378421976175807 0.149660525766259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.379159318792319 0.310186769312329 0.853238502134438 0.479167963191626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.474158222242768 0.393574681582237 1.08654689891557 0.834193907115997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.502957363071508 0.412330031839973 1.13001193249578 1.15199411514898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.206410467051976 0.155843830510771 0.369902589613445 0.144187476363213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.377065584668878 0.309826803541924 0.849424561768703 0.478733660814572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.476980945298955 0.392786746031677 1.08657954871199 0.831679226888289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.502734593187003 0.411468586412141 1.13289269989866 1.14974828749783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.206882223424672 0.157328624402414 0.370520877594368 0.145004750943018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.376771345950782 0.310203903055926 0.848673333112251 0.479235533683572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.476952015496722 0.392718235815013 1.08550662779465 0.83114979875493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.502924360978602 0.411684849294468 1.13188401959092 1.15009184095191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.208920847073413 0.159483850758117 0.372788745688674 0.145224458048308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.377099325767673 0.310899373603094 0.848472649070633 0.481408984366804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.476885667302267 0.393087602514245 1.08601592701161 0.832434684257339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.503754861620324 0.411910400587385 1.13284247370185 1.15168247258727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.224465015132911 0.182906197201809 0.386218028585849 0.16178129647693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.382548483116182 0.317220612620125 0.851451964764733 0.496522651730621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.477736932688008 0.395971359160907 1.08809646303162 0.845576086215493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.505655432707247 0.414185465082034 1.13798298360093 1.16108716761724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.251511490368455 0.257240512501399 0.427770114090915 0.421406690021269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.392808478801375 0.340525107796329 0.875272472167691 0.531199059000233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.483931999875293 0.401092731455406 1.10037731966844 0.865949937908269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.512434621863983 0.41566216778396 1.15137686561856 1.16877668690245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.148654840153208 0.152171083341979 0.0527146170920764 0.115926651229631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.403628257392773 0.417634397425878 0.260445719387385 0.872358048479456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.708110157003528 0.719088967427436 0.701429583439153 2.39344815372738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.86919511607756 0.882474808815421 1.08955979763299 3.27689437550026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.148657146083777 0.152669566833737 0.0527383529562496 0.117177498403974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.403723429325201 0.4176822862291 0.260799468452314 0.872551154653554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.7081064741894 0.718972969635287 0.70146674536376 2.39323191466894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.869120606207488 0.882544940368998 1.08933034377913 3.27740567623349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.148706304525903 0.1526775920172 0.0527640323824325 0.117227045751517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.403654031337371 0.417725121437432 0.260511962436985 0.872484664542326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.708178479576072 0.718850094121432 0.701466308581335 2.39198263713845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.869049869961887 0.882390330176974 1.08916338048308 3.2762280802542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.148763549588999 0.152719392399074 0.0527918932598619 0.117368297322497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.403777477763897 0.417790472783293 0.260666767628678 0.872446763390765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.708190883317012 0.718647313011416 0.701484379569297 2.39065871947423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.869031297907818 0.882231998917866 1.08883763811749 3.2749568532118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.150635532273121 0.154563366900092 0.0537583730683115 0.119426583347664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.405107183788496 0.417837333449462 0.261685035183736 0.872505811369957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.707668450427386 0.718124847285819 0.701957170562758 2.38749272637184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.868676117193352 0.882196950973528 1.08719956679492 3.27356825768392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.154705044480549 0.158215071713478 0.0555646171558933 0.123471439156419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.406198643355751 0.419339916299874 0.262751369457665 0.876330051141445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.70791730190527 0.717579963707103 0.702906425335522 2.38439283099103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.867986709998798 0.882138270783412 1.08564492062777 3.27287165531988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.148574427566097 0.152707137503892 0.0526685866256934 0.117381121040757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.403907451798002 0.417745031361895 0.260755263764418 0.872203404802223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.708358332803006 0.718771866626776 0.701795025954921 2.39084309911107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.869305625264306 0.882492132687099 1.09025442194609 3.27692864886865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.148607651316586 0.153201810410554 0.0524929049420509 0.118025361685751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.403870556333186 0.417883066121091 0.260778852614725 0.872410281444892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.708375916263946 0.718634188719077 0.70219206675518 2.38988018589682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.869260870755564 0.882105648513415 1.09008340806454 3.27361734081824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.150699513354996 0.154700144089007 0.0533309015345925 0.119601382396402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.404338095782416 0.418716070071861 0.26105266720816 0.873918005586798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.708078352471248 0.718578889122449 0.702259312744391 2.38955950992141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.869004639755959 0.881653303445598 1.09018722953244 3.26978958691819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.170238781619069 0.171785102806897 0.0643173325929013 0.139603156228628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.410638878448396 0.425089632619246 0.26764578401999 0.889987231080007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.708249721916658 0.719631523858249 0.706160906498358 2.39149037441782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.867304041644239 0.878667992895935 1.09002362224871 3.24714804742308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.197987509417059 0.197347072743848 0.0832258587559603 0.172224634115787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.420823538397136 0.437029122806033 0.278429749520052 0.925766394784294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.708706541254349 0.723038354242181 0.713641780583219 2.39990752500934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.864571856456823 0.874430003757609 1.08713488449108 3.21328554354167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0375576531257919 0.0385517684291874 0.00332331185322751 0.00637654869447405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0704172910940236 0.0737209841256646 0.0119900731015985 0.0247917164213115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.120119797832487 0.126231494765735 0.0301515484924574 0.0701120206060171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.166184918329282 0.17651838378996 0.0516190922303908 0.135720488598727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0375473093122205 0.0385918350189729 0.00332518814915778 0.00638760346001818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0703780336163942 0.0736969247291944 0.011987877053044 0.0248003536581636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.120140870264034 0.126221768752547 0.0301668191971811 0.0700878825682788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.16615618539148 0.176515104954215 0.0516148807228864 0.135692688370284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0376596037246474 0.0386341227691516 0.0033319959123071 0.00639639155800041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0702846355569402 0.0737124544344109 0.0119862175898701 0.0248170448670839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.120136646689221 0.126228659402317 0.0301712369770932 0.0700774556908323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.166104733436524 0.176525690876596 0.051611031550252 0.135679759307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0381539949993305 0.0390935262431819 0.00338453127318492 0.00649614645826772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0702678127741625 0.0737207418841754 0.0120058913198803 0.0248465505380519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.120223185003336 0.126226384400039 0.0302063152430111 0.0700413730619429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.166112810267164 0.176530116503105 0.0516215117640141 0.13563390967622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0427929277067551 0.0436078098886781 0.0040909549740054 0.00757991571169042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0706502161006203 0.0741410299325941 0.0121605467991955 0.0251465511644914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.120722895302335 0.126500040278328 0.0304426319510572 0.0701989372412793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.166270690343936 0.176596470798965 0.0517418930998003 0.1356075741546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0499543844473185 0.0507367509000312 0.00555635534956995 0.00981182508663055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0720997118850028 0.0754461066856023 0.0128479996753567 0.0258539362558332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.121616360959842 0.126877521774882 0.0308819600365717 0.0705761256025221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.167173458576951 0.176860925511616 0.0522004091850878 0.135839511875889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0379153906565575 0.0391195032534587 0.00330723530722289 0.00648987949059174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0705740568863268 0.073770102202871 0.0120445033186436 0.0248175911914802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.120032658757545 0.126169181869445 0.0301351140917365 0.0701132853930889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.166209946136319 0.176567868798283 0.0516453931029323 0.135773318239386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0392450022762648 0.0402797509223744 0.00343667518114289 0.00673539041214887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0712035844428393 0.0739429036307484 0.012303187529635 0.0248799874777983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.120043500372449 0.126297719844914 0.0301559214799259 0.070287262445248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.166215696131757 0.176694654509593 0.051632424986593 0.135946352548401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0435147190582666 0.0443795816854791 0.00405617507269686 0.00767591100637541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0722743620879257 0.0745168739137546 0.0128084333014376 0.0251088089664849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.120275713535715 0.126590727008183 0.0302852453316644 0.0705848534876582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.166446806393392 0.176978660014959 0.0517958461900978 0.136402162691002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0699525328305009 0.0720296485143171 0.0119046078099238 0.0169137504780742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0797509848151254 0.0804322703744742 0.0166797107745162 0.0280993776720938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.124432192828393 0.131876299950154 0.0330053005133073 0.0753644709051887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.169107320582406 0.180213380396934 0.0529800922188896 0.140867447820163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.100722980138733 0.104710116708392 0.0285263526275582 0.033150193727571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.091363480030842 0.0939585431613803 0.024230808601481 0.0371370036066447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.133281480178915 0.140434802858551 0.039131985978887 0.0841128040299481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.174890651748597 0.184377845276502 0.0567218861578585 0.146764883065325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0742582321282377 0.0718193883622572 0.0247531973742637 0.0311196716177179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.155931455990479 0.157864864584084 0.105404929392844 0.17184852271046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.260998657455987 0.257433325597764 0.222010811196292 0.434651305857966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.350038930228498 0.343226457786367 0.315978283307318 0.721689704440767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0742576441682691 0.071812958703086 0.0247682856852551 0.031140121811367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.156036052176945 0.157878372533608 0.105395069839611 0.171874934486183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.261066153627507 0.257446938621376 0.2220491737763 0.43465546719586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.349999833903162 0.343241036306273 0.315954447328896 0.72166774483551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0743787864132169 0.0718925171706391 0.0248124513075459 0.0311221781141493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.156102974664155 0.15788744543564 0.105353079298143 0.171897973898599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.261092710963135 0.257475411964929 0.222039887187567 0.434666259680819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.349938036882999 0.343265116582617 0.315898882621244 0.721615720705812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0746110891686136 0.0728887593687285 0.0248749453903625 0.0318313065322948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.156410838830936 0.158003491944433 0.105342136138962 0.172017680448448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.261308803929998 0.257648247025159 0.222050146910182 0.434781940897458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.349934849494073 0.343284716580526 0.315843189363045 0.721499040144439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0790328413703775 0.0774453120639425 0.0258579339894019 0.0335505063358812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.157778043045039 0.159465922833536 0.105048920909476 0.17385805187614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.262832509615967 0.2584090203426 0.222447894379944 0.43554849909671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.350613158061436 0.343815720995186 0.315906614434657 0.722056583842045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0853285824194763 0.0843940655215622 0.0275685666274222 0.0364237509884334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.159981092626015 0.16139855187738 0.105194987061058 0.175773465580482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.265105846150359 0.259525300317758 0.223098508760627 0.437214635821332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.35178775080948 0.344828746148276 0.315925975471577 0.723238614068672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0746173030445036 0.0720612529576314 0.0248238988120963 0.0311420197995909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.156208063025177 0.158203061405979 0.105467716062235 0.172368358481959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.261140369439376 0.257505830995013 0.222159262503309 0.434821684909133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.350051599919547 0.343245226210077 0.315860368199512 0.721853905592243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0754337183184645 0.0738566831838852 0.0248173140926311 0.0319895007382655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.156592449945895 0.158858043830255 0.105569168981426 0.173214616321797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.26158183187365 0.257700011984444 0.22243057078552 0.435248539866997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.35017064800163 0.343393467237618 0.31583625624891 0.722261829105358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.08002310208677 0.0779798900729911 0.0258133213495276 0.0332234592047868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.158088978905452 0.160353647399711 0.10618080319602 0.174177964641206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.262868651028498 0.258558255759548 0.223061376374098 0.436752100940406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.350564447841682 0.343979354406246 0.315935915462924 0.723491859339346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.106314728508506 0.104053570752007 0.0344700144940634 0.045730581573851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.167740199131137 0.171570169057116 0.110506611223528 0.187591699020859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.270932601452354 0.264471783287765 0.227159632814472 0.448024191378641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.354818057576158 0.348911915726162 0.317485399245639 0.734714421887014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.139257520895351 0.137915729629229 0.0508292399144923 0.0699806263877451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.179611913027125 0.187314018256721 0.117916993770716 0.211678956881045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.283366990492102 0.27532762257307 0.236310600525425 0.472960839561759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.362763678506748 0.357071715776081 0.320363746027221 0.755302116867525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.00932245599684623 0.00870722078923728 0.000320664712664412 0.000308900159734686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.01780212752556 0.0166947012574959 0.00052298049629355 0.00126919071632356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0360059114984919 0.0342442001163586 0.00181801112111636 0.00511972932638751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0566761042097549 0.0548306457355998 0.00408815138058667 0.0125307648779228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0093229452089263 0.00876192611655139 0.00030568801921023 0.000303183628216332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0177934629698526 0.0166739981876275 0.000518951732776905 0.00126826193137228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0360365486131939 0.0342866965280848 0.0018186589550515 0.00513253323334392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0566910704328925 0.0548940049875085 0.00409384672692508 0.0125455156759567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.00951926229241041 0.00903190469599156 0.0003028089919695 0.000314471734325574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0177951667378334 0.0167588493125371 0.000517904099725102 0.00127712490418215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0360432013940523 0.0343661803869248 0.00182088436764345 0.00515383184270546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.056796885440899 0.0549578803032544 0.00410611520494038 0.0125601762321157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0104601669525637 0.010122904782236 0.000309162851255092 0.000377750999707887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0178366160041559 0.0171276260926005 0.000524300108530488 0.00131646146448122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0362073784514817 0.0346244723941204 0.00184096725771557 0.0052106912941195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0569808856873408 0.0551944446002844 0.00414125477386756 0.0126244645820893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0184248252313103 0.0183429977411266 0.000901374517279399 0.00107464213836878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0199669675485677 0.019604600079161 0.000725687995727081 0.00168030527133857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0374365252868882 0.0361396559026231 0.00201826138580896 0.00557508685809958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0588345660338973 0.0563857531921685 0.00449236755722801 0.0129612418977068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0285975843101189 0.0285958245631463 0.00235737830641505 0.00248595615444832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0232114343150113 0.0231541456185831 0.00115084876062697 0.00239527507957019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.040394586477365 0.0385001343357414 0.00274488110124579 0.00623594471825376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0613471622402498 0.0577869779797135 0.00518126982760636 0.0134506185631177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0103447230548383 0.00931982778340089 0.000291723193537028 0.000333134832590782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0178054818783017 0.0170709191333254 0.000514723724035884 0.00129701127220819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.036023787860151 0.0344754969207278 0.00181504289975404 0.00515756891192633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0567163537958831 0.0549661382433771 0.00409993567571505 0.0125806872081861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0129612294628108 0.0118913564826227 0.000385127304165238 0.000504844813798344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0182642471959997 0.0180549677547428 0.000548029465971309 0.00141889347807657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0362475473989263 0.0350743435548595 0.00185687664001365 0.00526521310813105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0569845108756537 0.0553317853812673 0.00415092263505279 0.012687639047934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0200529938455745 0.0191109221834915 0.000974369300190834 0.00124223382920803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0204608804371378 0.0206243350282598 0.000770473452113413 0.00187394306485059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0370014835581952 0.036205032850767 0.00200692469389142 0.00551130353481869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0582811018063666 0.0563400789695742 0.00444509719312852 0.0129665915974233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.055360730316784 0.0546870862045774 0.00944430004737589 0.00845226465803337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0337404496746259 0.0371236290625042 0.00373164791023185 0.00680900526781372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0458292416819161 0.0442162368280873 0.00438845605141636 0.00812164693595557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0656523012176036 0.0619595911794694 0.00709390153754992 0.0150687695326324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.092113604633227 0.0896260396235476 0.02987871392649 0.0211531997384676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.051508669355676 0.0525596132954593 0.0118427237921799 0.0127544621274335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0596700272703997 0.058395707931184 0.0103722572533713 0.014214359184207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0748978046634441 0.0705807591543684 0.0119497589201132 0.0187311972605338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.344458753706308 0.308481705996262 1.21978137423053 1.03562185885951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.588154681435716 0.562844540549498 1.81860227541844 2.47790383302812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.778015186211514 0.754541108245512 2.09112475532867 3.85308821127072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.885223948711993 0.855488971398553 2.29422956478349 4.49180993320319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.344252759047692 0.308395411193261 1.21871747355118 1.03529148757106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.588138845212942 0.5627393974 1.81829786015863 2.47706292840996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.777828674014707 0.754425384371449 2.08999593034884 3.85193701149982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.884901244333661 0.855256725121492 2.29328888346657 4.48966101881556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.344225146808165 0.308404400833995 1.21842540776777 1.03562255482265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.588124304956907 0.56288089345722 1.8184034800899 2.47776625071411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.777593138475469 0.754528205862347 2.09011087108862 3.8526110991822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.884938159516826 0.855310847259642 2.29333795099844 4.49025081402727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.344585369117927 0.308591653180618 1.22174469055195 1.03396497721521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.588362857985047 0.563288487616883 1.81835028065838 2.47954683457488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.777476477053922 0.754412023822959 2.08977279262075 3.8526758884894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.884840429262788 0.855370470463301 2.29328268646223 4.4911386179974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.346305947292597 0.310233949681784 1.22184015683889 1.03698018943313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.589452790084573 0.564358081435575 1.81872735029296 2.48445833149262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.77791026835834 0.75508507104733 2.08930499552158 3.85748868282166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.884856665418024 0.855658837913428 2.29277396033958 4.49360727154938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.349803263881324 0.314178394406832 1.22268779016706 1.04652368194773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.591256738968687 0.566579058591042 1.8189301393291 2.49249007332782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.778029673922126 0.756566357340261 2.08891017050464 3.86608145544741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.884492804184042 0.857140353835268 2.29053783565294 4.50471678072682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.344307397992304 0.308533886531368 1.21989670201345 1.03544188040634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.587699516640659 0.563142118238897 1.81801828335124 2.47982478057156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.777989548018074 0.754751840060853 2.09088245311015 3.85499123290798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.885238017968672 0.855637910223377 2.29406730084158 4.49329466465717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.34469797394364 0.308830515118918 1.22059333350983 1.03548507822452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.587518670862036 0.563689419552419 1.81788912091507 2.48261818590197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.777882542727489 0.755174352248181 2.09079313401092 3.85809397257435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.885365683248699 0.855900231637584 2.29378365190394 4.49519840910412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.346498277294903 0.310551251698782 1.22257933990454 1.03750954613546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.587800121038783 0.565101903540876 1.81739973134314 2.48961708891211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.777999952435605 0.755705722517274 2.09070004812202 3.86272886968461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.885476680397587 0.856516651624839 2.293895736273 4.49928056984793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.362885618808863 0.327291228068181 1.23529851421978 1.06667997177844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.592814059727241 0.572799186818053 1.81965113314006 2.52881490365704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.78122869114095 0.761776711788282 2.09414710573964 3.90008841478095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.887549092537923 0.861730046348461 2.29512189763891 4.53249247649439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.388590893875909 0.353416999390518 1.26007582888998 1.12447058340756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.608136103814918 0.585080303896037 1.83187462721886 2.58658586851449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.79222934861883 0.770360895251942 2.10669505709608 3.95332017621448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.894142387316791 0.867146063825364 2.30375514090036 4.56916508756592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.296750754864726 0.30810202197267 0.37994097670375 0.517106330087753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.52540223651431 0.546917863509889 0.938610074456825 1.76584023163186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.677785012573883 0.710435527645197 1.31661175229306 3.07835935613667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.768704861092767 0.80732417153165 1.67449052499238 3.75835190276735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.296776163693828 0.307801009142408 0.379900590291316 0.516660906594449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.525416612559678 0.546961641643266 0.93906350496593 1.76583392762648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.677897274036505 0.710484226894037 1.31691213353538 3.0784969469393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.768713329709467 0.807447915921127 1.67454102034161 3.758886329484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.296905782424966 0.307819271628869 0.380022993453112 0.517609112190501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.525543687982812 0.546924613977091 0.939255621304294 1.76554330072413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.677800608227142 0.71072300584166 1.31744419928167 3.07966545917639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.768501062373402 0.807370428566537 1.67448061587838 3.75881447617754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.296935890498815 0.30772996617879 0.380116409959894 0.517580181503654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.526006670860252 0.546996319165586 0.940069945446918 1.76488765002395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.677880752235993 0.71108719590771 1.31796891600865 3.08138686449934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.768438342847025 0.807410135198038 1.67432565818475 3.75904221585003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.298170291983117 0.309584461322557 0.381404787361521 0.519977610138493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.527254902973205 0.548037170953977 0.941713589311112 1.77032112150582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.679323061398807 0.711858295761196 1.31896144565195 3.08673297697274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.767990171169946 0.807814658848238 1.67330292738714 3.76209637856848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.301055588091564 0.311237454427598 0.384247338324584 0.522784803795272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.52919850492679 0.54960412208955 0.943971410090229 1.77856419251578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.680380233558031 0.713247918978825 1.32075343005721 3.09591196239566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.767761351781909 0.808312543932073 1.67213716025545 3.76598316727028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.297232921971384 0.308904810854583 0.381211730291584 0.520864266874926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.526286286534875 0.546994218249283 0.939988201421844 1.76649336139084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.678464346678664 0.710700613229204 1.31796565568608 3.07902662625154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.768091723412261 0.807452716552643 1.67475814891492 3.75921848480371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.297625950072002 0.309090302216492 0.381788592245415 0.521318132306941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.526945181561526 0.546948405456548 0.940985989013484 1.7660816306455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.679524556831872 0.710986930182956 1.31839759476763 3.08018504434967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.768027794029547 0.80758787427577 1.67472543221591 3.76015485590637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.29917085050955 0.310723964556199 0.383737054698305 0.525256570780572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.528135141186024 0.547224340017785 0.942077851814001 1.76750752721301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.679107836806288 0.711345353086844 1.31745703028085 3.08153003794926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.767601365051528 0.807852551804343 1.67430968344622 3.76160041021583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.314724652485769 0.323000898638251 0.403602495514615 0.549030791895317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.534916054944715 0.552768226240899 0.948489632149606 1.79744485820899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.682925777238295 0.713634940966064 1.31469491315977 3.09911541516431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.768652028395389 0.808854640628916 1.67389607199721 3.77213528910656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.339244672934519 0.343014694858921 0.435427830598184 0.596620337057219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.546310722082432 0.56381119862186 0.96212738803681 1.85764315174749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.688558745445119 0.718513484336946 1.32143438547512 3.14290365429088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.769820064509442 0.810246614358005 1.6711149612759 3.79013829927936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.294935093181481 0.288258602939493 0.28422940180227 0.38800846950707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.519470520342533 0.51908071435039 0.724692078074865 1.60142135736074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.923937733549796 0.926397141330683 1.27587570717343 4.45045800114239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax CSMEstimator(RangeKEdge 8) 1.09858526531253 1.10441705333962 1.97432787476338 6.2873616393633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.294961046184194 0.28832460940293 0.284262026864888 0.388194242790613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.519231059962936 0.519060189935014 0.724786488239484 1.60142894903409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.923768345481514 0.926364047922688 1.2759236670103 4.45061527007789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.09827708639541 1.10440041140438 1.97401983989145 6.28730239332922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.294937730282891 0.288246834867104 0.284201964644006 0.388243045278102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.519018082583718 0.518793929741067 0.724951748322697 1.60103968227099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.924490250988323 0.926201219384877 1.2761227447499 4.44975750252642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.09831761461486 1.10433825691564 1.97386094963095 6.28707340577281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.295538570425007 0.28923189606738 0.285030054947184 0.390236613100954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.519091551871798 0.518778724105885 0.725261670611827 1.60118988517115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.924366976617786 0.926104374966666 1.27586475577081 4.44869051843887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.09840652532119 1.10408268406125 1.97345207422587 6.28405652130943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.295690711240856 0.290656334174997 0.283982973279568 0.392348780931763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.519834005432588 0.518923363852461 0.726805856751011 1.60482063489226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.923480360647448 0.92603977056625 1.27505000625747 4.44807873095211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.09777788205313 1.10389216823288 1.97184649781098 6.28292522594997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.298945106410226 0.29348280884998 0.287990600057798 0.397132161671646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.522888372999494 0.520370830818087 0.72909076956803 1.61231635782552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.922159587258368 0.927405961892749 1.27610150014299 4.46178220378522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.09737121119983 1.10462602386289 1.97036138616615 6.28637416563574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.295231485099296 0.28861855228746 0.284217917231214 0.388746126538102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.519763304363276 0.519480795650055 0.725594290278112 1.60479754655181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.92443742866442 0.926899626951178 1.27621880541712 4.45321815029574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.09870982399003 1.10457928666978 1.97443105505884 6.28786950187856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.295714786958079 0.288781245663399 0.284476009514314 0.389367478268425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.520075837921321 0.519671987869596 0.726182344846709 1.60539391737167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.924539582146414 0.92710816337295 1.27721661342664 4.45458672830638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.09920977495887 1.10444303855495 1.97660218975425 6.28199209649582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.296862513799911 0.289763201452075 0.28543977357564 0.391379664811965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.521828435094369 0.521510818268332 0.728417111665115 1.61207785105672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.924382703232477 0.928038841729195 1.27823522557682 4.46255666149608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.09911644461805 1.10360278513771 1.97623606856202 6.27592697256325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.313626179832651 0.302839798633455 0.304961278694077 0.419628363912595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.529437927853441 0.531740077548127 0.738785104292664 1.65856662715229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.923268420953649 0.930303028027682 1.28801876695592 4.48110821668134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.09619358091433 1.1038878951341 1.96793780068878 6.26545285928344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.333059811392421 0.322337665202778 0.326506946616324 0.467062512943361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.544623233135401 0.545993407828526 0.764735020150578 1.72836620083382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.923669017166963 0.937623240967894 1.29967714813898 4.54164782951098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.09535111419737 1.10599811878534 1.96316442295783 6.26333309456849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.077812890165298 0.0754051004681043 0.0135060971217616 0.0326032454771062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.232897599550662 0.224632337930503 0.0844173001054473 0.277328078531807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.413651183770649 0.394607092194007 0.245528452589472 0.826382417843958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.506734893752832 0.496644645522539 0.368445404216582 1.13282049954786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0778135985165491 0.0754147835931493 0.0134878990312698 0.032586409149911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.233193606292487 0.224509412144809 0.0848170897334238 0.27726719749433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.413618868892502 0.394599052313322 0.245551175318341 0.826355989224278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.507236687773643 0.496855748497704 0.369396858887577 1.1350873581341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0781250448653444 0.0755137129616202 0.0135934293424669 0.0326128703209151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.233221670237621 0.22451483557977 0.0848616175861844 0.277301601815499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.413599414303078 0.394608723684875 0.245558013110309 0.826318685205552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.507256957193315 0.496820968310632 0.369468759664963 1.13493881971654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0786614335530439 0.0757887996805704 0.0136361421179764 0.0326676488591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.233298651648896 0.22463095859257 0.084898239245995 0.277536218145616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.413672791524901 0.394677352545759 0.245666030517205 0.826378140662383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.507297251872518 0.496832335999003 0.369553308895824 1.13494578140027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0829508276866309 0.0798956112442392 0.0143633964269102 0.0341979126936511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.233804611534087 0.225181633498823 0.0851289870879064 0.278435196505416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.41361195703846 0.395104795233514 0.245977448414527 0.826450700180552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.507133212862415 0.496636496618459 0.369607591677018 1.13337349203448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0896239420138925 0.0863235330738152 0.0160016758372931 0.0370567542347767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.235072120360293 0.226759075447687 0.0856706818592923 0.28079972200459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.413630140623976 0.395513352386283 0.246480072590953 0.825969074864954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.506784200589147 0.49617644697719 0.369362131594203 1.13010191309308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0783865540806257 0.0756815212290626 0.0135451214403941 0.0326879843351072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.232761014642417 0.224958319864988 0.0844357108842044 0.278196359660029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.413520912873596 0.394641906136611 0.245661220524651 0.826737499815473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.50664293767019 0.496980613565642 0.368424623422324 1.13388924716837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0797865390394605 0.0768702532111058 0.0137406462161325 0.033203495885974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.232768163570526 0.225166542648166 0.0845021921697833 0.278689708520109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.41334707944199 0.394784896164951 0.245730030242839 0.827179993507727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.506552244277247 0.497029105928945 0.368460382623423 1.13410722675129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0840095073434026 0.0811216185829051 0.0145339778659768 0.035143846371907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.233245147351995 0.225999932538723 0.0849339863095398 0.280302601373405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.413283541358982 0.395010777803284 0.245961569991499 0.827755943687378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.506215324208908 0.497200317476722 0.368542535191252 1.13442312809563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.109086747990006 0.106469191219411 0.0234513998118996 0.0505047608837483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.241349008547514 0.232649792740909 0.0900978625927298 0.292056267738427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.415552959305115 0.39747480576023 0.250259052432577 0.831988216797411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.506170625037804 0.496945769396938 0.370791515662597 1.12941727507827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.139552409872883 0.136303018172045 0.0442605139768164 0.0743545839028034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.253865518189385 0.243718081012313 0.100731618668905 0.310470923126202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.419546373091023 0.401252023671417 0.258930310688769 0.836973762296948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.506930974603102 0.496964856966118 0.375649378255912 1.12286679896465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.057175854334147 0.0593830692392835 0.00914116095299433 0.0155067562898091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0742192929174887 0.0820440545974854 0.0279744789319041 0.0395445537602467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.125482752232047 0.145755612916479 0.0719733261491169 0.126695247877607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.192991351662768 0.227818784006207 0.130826573817558 0.289034198060193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0574142633191676 0.059761395785474 0.00917877211308261 0.0156293184863242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0743202044334086 0.0822686525898406 0.0279806888968365 0.0396565934615749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.125616297370652 0.145839219093757 0.0719802574301536 0.126761043524099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.193211047275345 0.227808534473131 0.130842810103066 0.288975574251314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0581502148275881 0.0607162254603085 0.00931157806921511 0.0159114672224407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0746506291006986 0.0827526103204884 0.0280337396678694 0.0399086596205657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.125942281174674 0.14607791110926 0.0721393786059289 0.126962024563841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.193438597114244 0.227911572579958 0.130901322116344 0.289075495137734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0609406824414717 0.0638358566196138 0.00989224066407764 0.0168789089659804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0760967988771606 0.0843530398926419 0.02839357631871 0.0407260531521491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.127043583987268 0.147173855249169 0.0724612387437351 0.127872831791258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.194238771001679 0.22825189431827 0.131191082892533 0.289391589866473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0820626853493406 0.0852733457134225 0.0162183741230593 0.0254283586392861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0881928521286138 0.096512681580144 0.0331097202828493 0.0485917470516413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.135245479310342 0.155405851942795 0.0756602789851537 0.134807867221795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.199349565285051 0.232535007782897 0.133802966823759 0.294715044284658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.11072462126019 0.113929255788335 0.0292873965345381 0.0409135573796476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.104153835236426 0.112806189440744 0.0428128473231738 0.0618880650912881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.146454485091423 0.166546599978611 0.0823596336303883 0.146269933709157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.207033243412972 0.239618971163909 0.138287818715086 0.304349713107384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0601199755233608 0.0626738701731537 0.00972244721621917 0.0164439579145123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0759579348860542 0.0836906594836433 0.0283474339192568 0.0403563243135005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.126483044754147 0.147123581816245 0.0722541020251543 0.127923964495403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.192951085971341 0.228363867964968 0.130703829762245 0.289761989750026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0666445993400675 0.0696066565946272 0.0113061331540193 0.018700792418911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0801057522249616 0.0874474631592983 0.0298119481046044 0.0425011672013757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.129179838013469 0.149949182090806 0.0732374598048194 0.13041944831358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.194032180211446 0.229403211375447 0.131136612645085 0.291016302520028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0858753587238301 0.0889537543402832 0.0177996296769625 0.0268483235012689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0916536564476401 0.0986080294272449 0.0359366661497438 0.0500429577156573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.137169510431094 0.157507761916018 0.0772925257420374 0.137539679346056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.198644581530269 0.23352747685732 0.133469117516361 0.296545981815926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.185201639200831 0.190724410687319 0.0899504158886206 0.105750089100424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.153526282198915 0.1554182616914 0.105115043841168 0.112456520540269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.183327703433318 0.198637567765617 0.124023269463591 0.190443342907936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.231820616427694 0.264301020567024 0.163131554118281 0.343926628978545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.295275349865763 0.304070890571008 0.26336625192235 0.263383074492869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.221851352241738 0.220463580267165 0.245489936120082 0.222904033765808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.241660015796192 0.250004532087439 0.226086427328624 0.280599532918774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.278411833911259 0.305003509689351 0.229667109150106 0.42299640190169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0542580729481791 0.0437880668269935 0.0183396614498577 0.0164591448846691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0931653641505057 0.0777852781279137 0.0743764466781863 0.0356216152732783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.148286310980479 0.127082720940597 0.173872257105181 0.087164701792533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.209639589314259 0.183757269438779 0.293776665541087 0.172292847170358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0547461488046836 0.0443347391580129 0.0184594588950642 0.016559437923351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0933727499780677 0.077838913518547 0.0744325892406276 0.035598011289336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.148414210284931 0.127001744450521 0.173899775222387 0.0870903611430089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.209888869539574 0.183650692254682 0.293837502480333 0.172236858197327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0560165196636848 0.0458184824454598 0.0186974449070941 0.0168099549704634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0938740462951139 0.0779884024352095 0.0745514507944485 0.0356009794486404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.148547300080192 0.127130663746737 0.173721046351588 0.0871601880344379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.210355605075511 0.183641725833203 0.294131830526598 0.17225930086729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0601096529667535 0.0504173040507826 0.0195610919566302 0.0177027259666407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0959566535361312 0.0792196276904265 0.0752340063128286 0.0358974077860398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.149639896797056 0.127451533998 0.174173391148352 0.0872731370119667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.211406539270764 0.183863228483376 0.294640569365468 0.172556184969597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0854767532543779 0.0769395326017189 0.0273594596827802 0.0253932040023693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.109711907965547 0.0896666562612247 0.0826313484571358 0.0402135645234386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.156886839662789 0.131245521519114 0.178146409634058 0.0893689585732168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.217660447901247 0.186393250306506 0.298138661855842 0.174410396770804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.116300676533501 0.10811080151597 0.0425019654511685 0.0391539820021578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.12664164628793 0.103707003787089 0.0956335027865289 0.0483952906595528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.16626121750656 0.137030610640273 0.185621455986118 0.0935204157634723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.225747055057722 0.19138578087898 0.304220750674246 0.178410354584797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0583953986828876 0.049024731508064 0.019113526970471 0.0172973677309721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0946577871793216 0.0791020822873613 0.074836075493691 0.0361541060954503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.149003448151508 0.127797891410666 0.174206155655208 0.0875686976048083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.210324146383462 0.184327541640622 0.293976492744271 0.172483326947724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0666077270836433 0.0590602658379877 0.0209979946689454 0.0195103165014101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0986882831268642 0.0829617012675123 0.0764507100805197 0.0377742724484163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.15098944910571 0.129258720394601 0.175161579379823 0.0883499607586475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.21195439910855 0.185422337538269 0.294947380805743 0.173031047280485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0880152199235931 0.0827194100040407 0.027845459947139 0.0271052229309881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.108771778461129 0.0922161545410404 0.0819122022925566 0.0424753868719534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.156947370441902 0.133745435740041 0.1785553307468 0.0910206198611113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.216547401919431 0.188676558898111 0.298257389616141 0.175236456863049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.190698651594733 0.192190263492189 0.104106853870002 0.100809454498059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.162961843919465 0.143929513505742 0.133348469387232 0.0882114500978447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.191863759819837 0.162139566094335 0.211536344656682 0.117098269198805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.240559760663222 0.209632276154965 0.319958601159437 0.196148274162404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.300808483203562 0.309377368093794 0.269333356427822 0.23638678320653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.224657446407095 0.204477090054924 0.237366810553232 0.17196353122133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.237190095143417 0.197367143922961 0.280236005841906 0.164495092939728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.269096385887489 0.235179697200635 0.357134974875164 0.232397562567989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0543225208603241 0.052524760728178 0.0119311108439929 0.0181459092447153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0734364850166135 0.0735653779634258 0.0336464817986796 0.0609495676255247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.128562726635169 0.124859026008108 0.0983973133557532 0.181704593505166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.194139772550528 0.182774947950786 0.189308152135306 0.340796654634232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0549924106292964 0.0531318281929314 0.0120545613800394 0.0182771898197481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0736119824656082 0.0737138651058411 0.0337195019042876 0.0610035736470496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.128652272615689 0.124904840447006 0.0983897612528996 0.181727687390222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.194213345078332 0.182850925273327 0.189302934713679 0.340877417536326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0565212445659612 0.0545865043093594 0.0123071240486895 0.0186008890671555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0741834987440982 0.074160280433656 0.0338369137825177 0.0611498238821546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.128940510891228 0.125096668844865 0.0984228488204481 0.1818301494447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.194387913863393 0.183084355862661 0.189288673963581 0.341186332441755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0609310014889295 0.0589766469140572 0.0130917041432018 0.0196896079817909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0762105668481879 0.0757984355403909 0.0343217969232023 0.0616687381498075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.13012040493645 0.125944687002609 0.0987404429600109 0.182306319010847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.195135491419454 0.183884517527633 0.189494066432566 0.341943155155371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0865685398061381 0.0840293780405882 0.0210002467305314 0.0286265619158828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0894222126077275 0.0879501160877721 0.0393454166322711 0.0674514190157369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.137397560039556 0.132577874157242 0.101406505491474 0.186928339312714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.200448038645716 0.189027078172189 0.191545750267409 0.346492511546164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.116791340772395 0.114242827749894 0.0358960907191285 0.0441981221802846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.105719382896303 0.103788017324147 0.0490299774137582 0.0776245078780077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.146845264578462 0.141495389590111 0.106550960020645 0.194626048930833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.2072526789786 0.195812800419953 0.195607368814999 0.353495970002912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0589737791513235 0.0568553119935939 0.0126279914734633 0.0192585262499685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0751787721141779 0.0759579473241023 0.0341011460494491 0.0619672065800904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.129268299431513 0.126146930174562 0.0986509708818742 0.1825595881355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.194477495208575 0.183416136010788 0.189318841780646 0.34136817419405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0683397486947018 0.0653207670642747 0.014684099530347 0.0217394406704733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0793571334054355 0.0808335431031893 0.0352393152933581 0.0642676997689853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.131548893027461 0.128659474996385 0.099394042592785 0.184307832546632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.195933136285493 0.185105507165393 0.189719262977507 0.343048792611535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0916445321424137 0.0870971743469466 0.0226071857145601 0.0302276741903457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0908858324437341 0.0929006460159358 0.0398711287517275 0.0710914176054907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.138359856878502 0.135571914117882 0.102568005815526 0.189698792697762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.200712125547366 0.18961608980291 0.191840968157601 0.347569710105104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.200363964779629 0.193125314016402 0.106009146871081 0.104805496440746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.148593015900087 0.152336763745827 0.0877367973841791 0.129596996044787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.172589909562612 0.172765408317286 0.129092736475247 0.231759216037031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.227897923703184 0.2162974585202 0.213855925611131 0.379407186151536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.317270466345011 0.309625535373322 0.302643360952806 0.246325922491561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.213804735547299 0.216599699151726 0.189185105015554 0.233226825522544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.213260569982231 0.220805735390815 0.180729933436699 0.314446527528179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.261785808083867 0.255420855952092 0.258584083978897 0.448129676005733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0498508117174242 0.0701780915680918 0.00782173713819256 0.0203368583856725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0551944824753664 0.0864688443747413 0.0104426426155684 0.03857612071927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.094337663286999 0.154431349675725 0.0268825906005794 0.127695590921848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.153544164899287 0.242261730498532 0.0571292674141253 0.316166076904169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0501334052639927 0.0704230946802768 0.00801726933505802 0.0204098112496231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.055354785506657 0.0864122769476845 0.0105253342617081 0.0384793550662086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0945328833553751 0.15445227839384 0.0269842952459518 0.127805287539954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.15368263640465 0.24233252778808 0.0571919525172143 0.316271605163994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0509542169887122 0.0712244659230589 0.00820388721812192 0.0206926559365384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0557487560484446 0.0865780154806571 0.0106852348775145 0.0385792024872236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0947578861699081 0.154508550679932 0.0270705238712515 0.127900568168026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.153852154106605 0.242476210185998 0.0572808127502486 0.316427752543308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0540466274880918 0.0738661141007048 0.00890262166863366 0.0216584502234496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0569718104294678 0.0872034312885505 0.0111757270072998 0.038904631981278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0957402256407442 0.155026362631105 0.0274647678826358 0.128430818693173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.154521084431961 0.242837339247891 0.0576223365630849 0.316923896552179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0770430840225651 0.0926823944725527 0.0168238967962127 0.0300885510583006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0672115079145828 0.0943140672530572 0.0161506807474799 0.0433975440047245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.10296741295094 0.159740166129934 0.0311181752534124 0.13321286167124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.159745670094553 0.246395623458039 0.0604082538560451 0.321975781011549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.107279721253502 0.118359220462628 0.0325032564866663 0.0452268116734544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.081455708169529 0.106018127953087 0.0255413203562554 0.0523554973911207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.113537509985206 0.167710836041623 0.0379548928264325 0.141848287405846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.167300073332568 0.25255547341367 0.0654467893258981 0.331149077847911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0528066175244419 0.0729715992429125 0.00853599510953374 0.0213500828249408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0562211641581455 0.0870317781385899 0.0107211859184145 0.0387756107287093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0950026557716327 0.154527817636517 0.0270660173792146 0.127497715244744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.153878501578729 0.242486533269264 0.0572892491632875 0.31632399670288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0603500648465357 0.0793357574498708 0.0106038102096627 0.0238342316713872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0593841305221748 0.089207992664925 0.0121398920741071 0.0399041829345953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0970748716153339 0.155720024067968 0.0277894230195072 0.128406683530277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.155281457046238 0.243407322878949 0.0579350790523862 0.317247281189429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0821223234558033 0.0970560398552211 0.019075442453677 0.0324149575237928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0684002031067498 0.0964223275255112 0.0164930859780056 0.0445591015047023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.103862891337858 0.159782814018482 0.0311629886304302 0.132138657200151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.15985020364414 0.246790284220073 0.0603259211910757 0.321860351994466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.19161844228363 0.195745350755595 0.113716961156839 0.111788460391256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.121175748874854 0.142388308590455 0.06541475674775 0.0898416747809337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.14747228907323 0.190381261062163 0.0724313459439163 0.170637368451855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.194188021784296 0.271153775446334 0.0888308132236148 0.361599413238206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.311977489179051 0.309912994696029 0.338407999196743 0.266293692781204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.186441914453029 0.199551412670873 0.176938951042831 0.179106589017094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.203940470351387 0.23816686360376 0.162824980194411 0.252246087573534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.239642072562511 0.3085240328873 0.149591484609549 0.438172398620036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.105487695475374 0.135565721576325 0.097241243774742 0.142576769412041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.210891576290958 0.303059053126484 0.446434279396134 0.636588881590701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.345127215058572 0.513521797941675 0.912171863226452 1.48668767648962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.464548630444234 0.703520868186386 1.31893869592091 2.47252854411181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.105711005100006 0.13584160310726 0.0973362901868053 0.14276440253603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.2107908654811 0.302960051447166 0.446131806029964 0.636082810163366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.344853072818856 0.51334758410475 0.911801378339456 1.48626594591798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.464532132574679 0.703427466809331 1.31913102293876 2.4722740903644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.10630190495263 0.136513183736185 0.0975428506671932 0.14324137496802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.211192620875125 0.303128955745184 0.446408639281978 0.636177086950912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.345071605424429 0.513289865774583 0.912250731524031 1.48618068911225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.464626323421467 0.703422440108719 1.31937934413186 2.47229061430045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.10852227080271 0.13902899074667 0.0983534133917089 0.144779758599241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.212529031713362 0.303769806319403 0.447421427722276 0.63704926714233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.345617485078161 0.513268906159226 0.913213414362634 1.48639077894362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.46487683767306 0.703477535571943 1.31984926234617 2.47249805215656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.127064118291223 0.157930207435109 0.106657864492079 0.156907820996512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.221293562443176 0.309241566826043 0.454758203061462 0.644607567711746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.34891384128034 0.514705619152312 0.917074654334573 1.49137133601414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.466683348017311 0.70438823251774 1.32269705792704 2.47645392765899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.152846854500113 0.184316197785201 0.121723857026439 0.178136548906056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.232858883622308 0.316824188908234 0.466366941046567 0.657753194756706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.354109963875988 0.517343938956603 0.923417923686831 1.50102695962017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.469632798879271 0.706218726597438 1.32694743240882 2.4851545028021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.107615119519545 0.137699073857284 0.0981247332808578 0.143571766352144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.212157656905819 0.303586718636251 0.447419896505101 0.637450401338641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.345418981288542 0.513293052632974 0.912937242408714 1.48732044537048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.464864501805467 0.703528147790316 1.31959721640212 2.47389242563767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.113314467212241 0.143346743718479 0.100720752263415 0.146646143606396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.214394708970528 0.30543300066893 0.447831405674627 0.64057165817363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.345853778957097 0.513640361099871 0.912673636775828 1.48942085356829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.465231936887293 0.703898331417718 1.3196557585405 2.47643103740326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.130622694466518 0.160040148087046 0.109020776406597 0.157623916610426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.221589498467496 0.310398609297605 0.452910804122436 0.649169744565241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.348905467212691 0.515332981872501 0.916133868122155 1.49724426714462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.467126170388984 0.705258668500605 1.32247258116874 2.48557432993865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.226040076814711 0.254212039099456 0.191443022022358 0.256264140685348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.263120403759485 0.339670602556681 0.505427189672105 0.716531173576168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.371466536576021 0.528127707565733 0.951152161087658 1.55363600488855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.481284296868041 0.713902229545798 1.34647253655164 2.54368263082979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.333742222486806 0.361103299883837 0.366125845887674 0.435337731925551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.312761383113626 0.378689011937427 0.603226393804764 0.834893537197521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.401064819629779 0.550423714390548 1.0102975355736 1.65840459224419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.50410417871824 0.729344420766142 1.39342688637751 2.65005333753012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0342326478360009 0.0445497176328476 0.00294622618448243 0.00888689381655772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0398544118904687 0.0560524996194641 0.00347027571462375 0.0161353811212485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0777578965546828 0.107800147733858 0.0115468226128295 0.0592607632831465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.134672385370232 0.179614343492868 0.0283239522359917 0.156962513105842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0345768676065171 0.0448941379015888 0.00300503192555662 0.00898839814605626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0399064200522711 0.0560770589998683 0.00347950918863964 0.0161478592895378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0777947312953328 0.107815024550328 0.0115646398837073 0.0592908544274056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.134670766492902 0.179573559412768 0.0283382122258176 0.156911710036721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0356598175011737 0.0457617072356852 0.00317895425951303 0.0091731762976995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0401272531001422 0.0562685548069132 0.0035251735547469 0.0162207825373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0779439690850853 0.107892983403947 0.0116250626282529 0.0593531397378842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.134729627455027 0.179547018683065 0.0283737187313084 0.156856918027298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0397043250121854 0.0492671203744797 0.00394513465643722 0.0102438754388481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0410606995831347 0.0570323817582967 0.00372668799591946 0.0165242180403053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0784883527381404 0.108280499386639 0.0118078938510737 0.0596238501039905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.135005153967004 0.179608025316938 0.0285135636772402 0.15684197226491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0666078991609594 0.0726350475620528 0.0130797816770499 0.019539192285886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0490971662201287 0.0637388096101147 0.0060006519352857 0.0193810633176189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0832043962394976 0.111830906437133 0.0138039116985755 0.0622303485873799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.138026879019474 0.181311491000299 0.0301682783190554 0.158314145744132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0988404811948519 0.101885399787402 0.0318696675316329 0.0351642893755605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0601771117272026 0.0733841886834799 0.0107911631223 0.0246436204262451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0901067011166115 0.117466551785765 0.0178041962435426 0.0669178013114062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.143081275544947 0.184471161267645 0.0336403878481874 0.161588206380397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0381061445916941 0.0479648570977024 0.00360346315306581 0.00988657093540987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0408486608395793 0.0568618050772939 0.00365508556556053 0.0164497237351198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0783547910153095 0.108282224587591 0.0117313448158289 0.0595523747339254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.134939446547184 0.179797123471743 0.0284301109843976 0.157053101007258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0470028768979709 0.0557503003955524 0.0058753730421119 0.012568661777777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0431310944064666 0.0589271037524527 0.00415476016940733 0.0172605594377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0797798006173946 0.109381801504955 0.0122176066410534 0.0603279768810882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.135651473359947 0.180394592417035 0.0287786186336962 0.157583768077086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0699714920123337 0.0768992783513363 0.0146788343990439 0.0219952520773371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0500993260733721 0.0652942206507367 0.00619524088830382 0.0201343953894673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0840646983293968 0.112826600245016 0.0141350840199897 0.0628712580579497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.138129339352912 0.182561490029827 0.030295089862572 0.159848234755191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.176416644331269 0.182329384298946 0.112507267680283 0.103745306849667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0915219049340139 0.103983130745986 0.0320470868280362 0.0490529951365242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.110233269071127 0.137378388379984 0.0354651413670664 0.0879047216178108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.158397940617898 0.199391414649256 0.0488238092427933 0.181850961826153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.28885286760967 0.294819335580152 0.332563471384369 0.260881413744367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.14239320602506 0.152742783670351 0.100373613926303 0.112007477377862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.145575489885671 0.171223199264123 0.0830383307135045 0.135991541607104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.189468938781772 0.227453836455745 0.0934176610665649 0.227172517242715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0244140211466544 0.0200134544622185 0.0014255669301689 0.00170647076963074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0162694672315919 0.0137825204272324 0.000842583258738181 0.00116139554115374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0253864770576186 0.0198802526896266 0.0022304173935176 0.00179157327413487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0394713388350706 0.032060323321566 0.0050411988861982 0.00411114582500651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0250677684689831 0.0211006004868514 0.00148377445728361 0.00182922581960146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0164261548140596 0.0138903941278264 0.000851862505522894 0.00116362827258045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0253813339747234 0.0199776502449405 0.00221724369893234 0.00180015643332212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0395558068021904 0.0320168851718922 0.00504555651524004 0.00410264202800781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0267527447100127 0.0234058894957937 0.0016498227870127 0.00209166330626998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0167975395628399 0.0143991388910336 0.000875311840079298 0.00120893322144267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0255311937895674 0.0202604411775543 0.00222770759965983 0.00183363885064933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0396877831835821 0.0321062809262391 0.005056889572329 0.00412055491588255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.031875570548636 0.0297800570860578 0.00232060104910272 0.00305983235948454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0181320768093055 0.0162505121980336 0.000973734180038768 0.00143778342659914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0260872834142504 0.0212326822781009 0.00229728849071928 0.00197972326451526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0400611400179315 0.0326008053662363 0.00510534488663084 0.00423122163420115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0618127368245406 0.0627214492460844 0.0100795490449028 0.0118986015503756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0271551677455703 0.0286575281203202 0.00207970891383817 0.00380710601575593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0301512546671237 0.0280062237827264 0.00308760064847017 0.00346042337109166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0426322811568986 0.0367647855290707 0.00564454608028294 0.00539727635484704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0958419792144861 0.098560935976093 0.0272612858622047 0.0274009278994084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0390161636242853 0.0432974651479268 0.00472176098436107 0.00848652982382386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0362421343792641 0.0366773102437692 0.00478296096351385 0.00633171804765301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0466537429312648 0.042042278470129 0.0069346554650908 0.00734972316610336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0298016286712634 0.0273483120446537 0.00200260316237775 0.00261676465656873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0175642342069558 0.0155409836421295 0.000919107936513301 0.00134156574418997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0259315101413338 0.0208437088254229 0.00233550830459332 0.00193026576471115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0397153041085449 0.0324977007348498 0.00511232484444331 0.00419893188938082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.039907914620281 0.0400786577118768 0.00365386931257618 0.00500870063990952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0204784905140584 0.0197103657050703 0.00116049131124663 0.00196786645541461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0273280005743144 0.0229043355768183 0.00260444338952743 0.0023400680713207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0405342024619314 0.0336398201556467 0.00528703818752207 0.0044691051495291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0647261280617973 0.0691462732257962 0.010756032617929 0.0137612183052491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0285820597890352 0.0306459879321537 0.00225626023000075 0.00427249194562198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0315593958334855 0.0290153552877512 0.0036537781099932 0.00398889489692868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0429853929567523 0.0371747837481273 0.00599203759538065 0.00546786625790203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.175641727391369 0.188967759882012 0.102194970005196 0.0898890691567978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0692728619775966 0.0788832879810246 0.0171338699288786 0.0254283388255207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.056811122064418 0.0609309119487414 0.0162256412502781 0.0203442198153112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0592199176357686 0.0570402856659883 0.013991831576601 0.0154208900486441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.296684433733526 0.310398251226258 0.347240693206788 0.220861307977064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.114416757958034 0.130830897187639 0.0567348128954856 0.071607645507474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0885208563102215 0.0975549701582159 0.0454868564941893 0.0524169662839246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0853126554564178 0.0835332864580872 0.0368941816726369 0.0349185139561715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0210890740325779 0.0161430049688111 0.00177792799532151 0.0015315532285835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00986233245960721 0.0104211543134143 0.00121016944154842 0.00122979199614295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0131684928343642 0.0121156044351158 0.00301000373810794 0.00187462278835397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0228900712571664 0.0194195732587248 0.00694088641396133 0.00396232617798398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0219847897991313 0.017122419221912 0.00185179694345879 0.0016027854486199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0100090079929169 0.0105341096748124 0.001196070051009 0.00122589707870686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0132740236884943 0.0122501797330852 0.00301921711115201 0.00188820980465662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0229564528856905 0.0194254680088589 0.00695004954525018 0.0039699010011395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0241235895703773 0.0195427132206646 0.00204381829936138 0.0017964915957908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0105496422589179 0.0111114652662661 0.00122085583648189 0.00125443186375836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0135491612582274 0.01262531717798 0.00303592911963831 0.00192407353371497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0231171459615367 0.0196146311628766 0.00696534077904888 0.00400003881999411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0299760383690627 0.0262602546299745 0.00273707953411028 0.00251432534068164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0122493101422156 0.0133023325944439 0.00131077754788029 0.00140999452322287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0144367457336287 0.0141201495227439 0.0030927675085389 0.00207199158949391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0236118952913504 0.0206270035432323 0.00701054631056972 0.00413533930324693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0601535691744712 0.0592338554921779 0.00972943211499175 0.00940310639851286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0225281999899374 0.0266196315473296 0.00220743814638448 0.00341267965410048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0199107726349395 0.0229250396817593 0.00358822461830022 0.00348340584386909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0263844307323648 0.0273678758941488 0.0071962422405488 0.00539565790886386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0935043043904302 0.0947148120495429 0.023922801637038 0.022404248416475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0343341536438468 0.0410314187616472 0.00402979804341166 0.00735532714758416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.026443519349822 0.0331148820769634 0.00448454144409144 0.00639364414791961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0302541768494249 0.0355657091279504 0.00776188358139255 0.00788317639337169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0269996668359107 0.0237563281701122 0.00236032403756755 0.00223207253331608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0116793559530095 0.0127908819340875 0.0013019596228184 0.00139827938643419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0140081524783906 0.0135871938829678 0.00304393829867132 0.00201650717694315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0232948890353829 0.0205306974438887 0.00695707061640187 0.0041022043837748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0376005072883589 0.0366816630553153 0.00400884255343613 0.00414959080056593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0151814566367512 0.0176539932514185 0.00153145308398266 0.00194845211734829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0157322800488229 0.0167190240955003 0.00316192081266798 0.00240556649854288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0241417622684004 0.0227691643477035 0.00702362299528494 0.00444008558220857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0631576031898762 0.0656524679547993 0.0107175810995986 0.0114721127327556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0237929868672425 0.0291905404053185 0.00241915393160986 0.00402994936639983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0203162872413099 0.0244707232547844 0.0036313574808462 0.00389008099967216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0265040562604125 0.028341461932522 0.00728753092600099 0.00562360979123908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.173697926914059 0.184182478303551 0.0872497633216192 0.079080639870914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0625269556369794 0.0790012043637041 0.0125745727205935 0.0245809649944462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0423236295773994 0.0577168346845794 0.00859833777590526 0.0168368938871814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0398357800741236 0.0542459091578765 0.0103202430123441 0.0164102763865029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.285033595041368 0.301566963620118 0.253667472128006 0.193639712818589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.102731586117626 0.125736134317696 0.0351496245378093 0.0584399791561874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0661697500645446 0.0905187874907779 0.0179431059665942 0.0382963363294199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0571155072556906 0.0823175119670083 0.0162273349791972 0.0354483220582655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.154638314535036 0.15742995841632 0.197371171854497 0.202063476396826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.334237132668477 0.315289953843023 0.859928832892752 0.863570400833466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.530245943324042 0.510606979001295 1.6859239121605 1.90072248336498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.68395160540685 0.68305206397763 2.29260913042265 3.04017666840998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.154855348548542 0.157529214853074 0.197429102165329 0.202138790982374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.334156649244796 0.31506222099649 0.859742518640932 0.861952170431841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.530121972879372 0.510492685218207 1.68571171248285 1.90016884349449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.683825431190285 0.682888865509875 2.29233057710227 3.03964578098966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.155435542366583 0.157937617814076 0.197701596224294 0.202310615119366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.334294630450208 0.315223257126799 0.859910353866983 0.861877595428156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.530052489292428 0.510500262294434 1.6855865131295 1.90019688123936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.683813000268274 0.682878150236672 2.29238614847358 3.0395128910015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.157400714903443 0.159569667451658 0.198639391611282 0.203370290558593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.334935955489911 0.315982699484044 0.860486119554198 0.862587076778873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.530098610160248 0.510743155615563 1.68568964424621 1.90087240451194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.683875505131486 0.683022786083311 2.29238050617124 3.0399266557578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.174446584573337 0.174098147176233 0.20847192655323 0.214233042241965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.341194350142663 0.322830803520937 0.870353898190038 0.872210177242601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.532283033980604 0.513702882679046 1.6897404707667 1.90910541290928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.68543798540093 0.684636835946907 2.29576240439482 3.04595781237542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.199103654800144 0.196328583297047 0.22622813165 0.233511911064707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.35048670041788 0.333415377268898 0.88682302722056 0.893112038785147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.535968481264851 0.519084794476689 1.69722439734719 1.92659318014678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.688125426085695 0.687594093810337 2.30250292750703 3.05882774477406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.15656742832755 0.158993488492701 0.197853040253112 0.203333624653474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.335687397197121 0.316207317748217 0.864264799436787 0.863845349416697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.530765044315506 0.510780773502315 1.68863661840313 1.90107287391362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.684573310232438 0.683128980021983 2.29632661276092 3.04055039258974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.161573435259373 0.163246302190925 0.200688902957302 0.206187204215432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.337421370238157 0.318525184612921 0.863752418444858 0.867401516332053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.53142831286972 0.511638830748471 1.68874439431645 1.90325706159112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.684897194971635 0.683598540207591 2.29359165332132 3.04223071791481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.177975246965611 0.177221812439128 0.21067267836542 0.217153477079725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.34409918105037 0.3248272908488 0.876091159344505 0.877724348982299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.534341284151491 0.514626286436784 1.69664195597836 1.91168632489629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.686376472743713 0.685028061425396 2.29682353616315 3.04803032276953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.272534045389395 0.263327677834655 0.309334935700448 0.315734027048944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.383910865127278 0.363386185674689 0.950951883996291 0.960285969815913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.553816923152753 0.536038362366633 1.74061005742855 1.98149109151988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.697264045425545 0.696875601308928 2.31549127643191 3.10662784630525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.380471628222633 0.366870433131692 0.497976636816162 0.502413777273092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.43473922833555 0.413296183353792 1.08049340530731 1.10489806653198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.583580027004734 0.56876436148518 1.81795440911648 2.11195594616163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.718328991891269 0.719107599973334 2.3537456747372 3.22839968385371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.00876648132411088 0.0072233527026224 0.000166801750627162 0.000164657669178724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00423562022961188 0.00352717984587104 2.58524213665848E-05 4.84213550057666E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00513476897097404 0.00353467828698443 3.31522749817342E-05 5.22552092796389E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.00783243397208643 0.0056013153904169 7.43963194196754E-05 0.000135490321088813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.00980871307172762 0.00840145793493171 0.000202957375631321 0.000202023121702678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00449299702392305 0.00392891537395892 2.91360065349124E-05 5.7880076184656E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00521459188664715 0.00378382148989325 3.44182404561565E-05 5.95258805514518E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00786239072702381 0.00583148917095899 7.54954700408526E-05 0.000146934634207788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.01226704834696 0.0112946924472463 0.000316886345405174 0.000347761198772621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00523267665260101 0.00495866806340917 4.34277782912557E-05 9.26866527187181E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00550544743736874 0.00438501365154327 4.04988187700057E-05 8.30159698296871E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00797623247796584 0.00634348330276055 7.93905531237304E-05 0.000177554159273985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0187993140113931 0.0187676817636172 0.000818272227655488 0.000919733426244973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.00739262257401294 0.0077921944188713 0.000117323490027475 0.000232090244348295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00636325341815571 0.00602770454454944 6.57511021063889E-05 0.000176259794015154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00841737467186491 0.00769393737446611 9.57313119422223E-05 0.000286968308380959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0495370125968252 0.0519587067044135 0.00752009467305462 0.00630296152311716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0184994482654578 0.0206990245811298 0.00118239772316262 0.00155614446290341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.01169313759519 0.0146020183046487 0.000409690071545061 0.00119616139380306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116837271191898 0.0148277673429826 0.000342964299299523 0.00134133741752866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0813746691523546 0.0867218860026911 0.0220344237528505 0.0165864587580097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0304035872773329 0.0347536494762198 0.00354273815310614 0.00435201843519001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0184276944298605 0.0237318697364908 0.00134907804273343 0.00310344404418193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0162003026291742 0.0220818827176246 0.00102889908019694 0.00313641435229837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.016183739669314 0.0159242650200999 0.000574671596463087 0.000669499104737646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00655547666644006 0.00663442154809201 8.16624184959735E-05 0.000155868045647738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00609604536706955 0.00526812892236771 5.57590145303507E-05 0.000122610499619121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00821877719000445 0.00719739658194832 8.83934495856724E-05 0.000230722741895881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0278644210200268 0.0288254492049213 0.00198680472796864 0.00210892794550997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.010692348465584 0.0117440930710289 0.000276236068761497 0.000480392954505618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00797953051870694 0.00819581915001464 0.000131954224680802 0.000315569653401205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0091775156339468 0.00980150586421957 0.000134422522677985 0.000468223873001516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0532691306301071 0.0555861868074047 0.00851849206756656 0.00712594190547623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0200954201373968 0.022378219826378 0.00128858671426054 0.00164959021886109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.012761662446856 0.015152843922722 0.000478475901735585 0.00115544109561002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116708351668065 0.0157782823627692 0.000320997979573664 0.00136448601801959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.160544107957029 0.165486782150211 0.0950600296552141 0.0497857079970538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.059949611163453 0.0650683482764667 0.0150007726428203 0.013163084532978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0362624845284513 0.0459108591100876 0.00651835130567267 0.0108166540105158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0271825069723797 0.0382560918447611 0.003647644014741 0.00820955235153375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.277124339283442 0.281993418898621 0.349844536945367 0.137502384181952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.103872606624285 0.114837539266534 0.0538106246266905 0.0462344940199641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0648314855729903 0.0758337332342232 0.0268809206107134 0.0295774180276957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0466720676504034 0.060649611130155 0.0135678651694281 0.0201376380561376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0454502566403587 0.0697213077145051 0.00451818502562872 0.0169082296088666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0215793317674601 0.0324271892114055 0.00204102842579839 0.00432469691262559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0202619167020196 0.0290912525889214 0.00232405161914763 0.00380837776139323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0194388219009699 0.0326220963106896 0.00190985003924572 0.00431884489751968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0484665481524762 0.0731615230750759 0.00527565764250145 0.0180981318015801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.023641373221286 0.0365467227418451 0.00248727658535033 0.0057964031096546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0215577639004813 0.0323573340278085 0.00262077230218141 0.00488710433633624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0202948490715925 0.0351752389586163 0.00210566894512105 0.00512812839151614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0571116978810573 0.0807883312325103 0.00771878248336918 0.0213140896581363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0292893968346488 0.0448968894395352 0.0039406884102299 0.00947784729240069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0251708122719573 0.0389545332684219 0.00357398708326213 0.00759565351173508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0230028299585668 0.0406485572101671 0.00279487592755008 0.00719548134183449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.083981103381934 0.103713801702355 0.0179933838600829 0.0334892930955448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.046211172775722 0.0667824938344718 0.0104191076380611 0.0227440237741906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0374631648783036 0.0564322636367842 0.00793491343503353 0.0171812158509385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0327147512434638 0.0550886926289575 0.00584693528426292 0.0146654624543556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.218271616714554 0.231521050855286 0.138527679696679 0.150774164201828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.132231578872125 0.163873936589365 0.101182949717675 0.136699683498706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.104834216316521 0.135508478298028 0.0675849880799738 0.0997403193344417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0871403625776792 0.121307873936628 0.0450571792060069 0.0805276585331687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.359862470025125 0.37212755116602 0.404585534159576 0.368677536408526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.226821867384192 0.25944408494257 0.323745225137876 0.333234842189453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.18144250465124 0.214937501457871 0.215873217169442 0.244229985167724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.148548280700947 0.188128614477245 0.138165258755577 0.193510126316789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0742122454564163 0.0943271473445051 0.0132446087336866 0.0279864450724518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0395586734570026 0.0582698325430264 0.00722998792254792 0.0175874093694846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0325719273831057 0.0495602120234038 0.00589247681931581 0.0134035809715377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0288922109604558 0.0475041772985743 0.00440724631753988 0.010659131094392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.126044893522962 0.139722849120992 0.0420144143750316 0.0578895598637514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0725656172919593 0.096897878878143 0.0275121358090975 0.0510201360201658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0575843107104708 0.0807957866267945 0.0195063326900717 0.0377773861079996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0493249938657568 0.0724301686814033 0.0135405833615951 0.0274770294367824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.239307807373246 0.246656945924655 0.165201885751667 0.168266275985961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.147401859351646 0.176173182066891 0.131569368508137 0.16830391094052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.115032423487446 0.145755379607908 0.0866234880499656 0.124753106282249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0968392077807325 0.125442691813515 0.0573425901893522 0.0857781801017835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.708590442667086 0.707252653301569 1.74754175185991 1.23472138013558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.471374552060989 0.481924878168595 1.59895877164583 1.25941872321649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.367059501185667 0.401078796853594 0.997050729483773 0.92688380103891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.311267586600451 0.339954886134688 0.660580837431359 0.614055879142965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.21371396421839 1.20555410081742 5.82719522095883 3.50423490645955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.787825437338069 0.776731527147303 4.64698951343314 3.28445277440564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.639024553300486 0.651423058179676 3.11836459695339 2.38598913501863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.561487276345084 0.567206096791553 2.25257413050174 1.67348939328782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0742190782274414 0.121529631471796 0.0327354566101234 0.0519897137736666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.110648862126722 0.111638309224074 0.0976188434272103 0.0736359126960748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0986842933748586 0.10761365774426 0.0706291225671591 0.0759579920751082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.110079054865302 0.158796169869488 0.0748874160682603 0.162638294288319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0781180142979671 0.123704290898879 0.033790258871825 0.0530234087056155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.111882549781772 0.112379779163128 0.0986141993642902 0.0748913915266874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0990334335096203 0.108248340823995 0.0712476485364043 0.0766801106426026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.109956183369008 0.159100600035899 0.0745158133631444 0.162886586248895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0880188283130782 0.12958013559109 0.0385366611516587 0.0563353802825939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.11572887413595 0.115596198267858 0.103177522273549 0.0782388264949442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.100933846186378 0.110352776801483 0.0736456605598688 0.0782893766021279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.11075503591072 0.160936573169589 0.0749801110693526 0.16438344585698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.115623224249005 0.148005784839787 0.0571688574760341 0.0686865889190603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.129317080998505 0.128375696133446 0.122359876420746 0.0913206116724996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.108466674651735 0.118338742971946 0.082531716236831 0.0852705859363257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.116357726657056 0.168118289411708 0.0803599080638879 0.17119537805691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.25716628461162 0.257176875663558 0.238359293200248 0.184481902086918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.230544611281601 0.216526515469247 0.335164005125918 0.218150114453088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.174015081803387 0.173023697242219 0.188610686386713 0.153382271061462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.167146851874902 0.216437588995858 0.148479443303093 0.234812440595198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.409381849135456 0.389027289910044 0.596785391873249 0.416283176595877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.353201491781151 0.322150476774797 0.767791199513087 0.459378307485295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.255476994049007 0.242205301941383 0.395654257236278 0.282235442179201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.235805674008156 0.27449094450467 0.293431188715495 0.343097839280671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.105518456499295 0.140250040706894 0.0510676112534256 0.0627431771973816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.125910678098137 0.12363860919898 0.122035747828127 0.086738838208283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.107102305065546 0.1159606483563 0.0808440920178662 0.083084041263109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.11615931941489 0.167409829423895 0.0819519610668389 0.170752723422262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.158662165971265 0.177713684553899 0.0988548310038383 0.0918497732992424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.160197581543582 0.153898825928953 0.178863328392573 0.121926072024457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.128288102214362 0.13521814426292 0.109151610236915 0.102764377783469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.132660957648278 0.184318579446806 0.101525890729091 0.190009782405189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.277754065425532 0.272629928418552 0.27559796032423 0.200081914283675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.248455182604449 0.233489982482722 0.391567914717156 0.25017636807897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.186218808238471 0.184897701971034 0.21598762402668 0.172034556257725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.180880107908504 0.226370746739783 0.177392020485293 0.252217054794297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.785745653937865 0.714172521948501 2.26655735472054 1.25269413673045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.646314827461884 0.590740580158185 2.59436796749208 1.48776713272695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.471823561417866 0.441642269990592 1.35426988398247 0.894544888287228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.418683418330994 0.429548861789559 0.974444218931547 0.776551040802308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.31626641253905 1.18970853177708 6.68231851468267 3.38498074727482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.03931396657807 0.955770252123092 6.82514314346051 3.95261345859621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.793071236423116 0.748603373229979 3.85566303097673 2.51556857795611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.673390095448437 0.658765330997149 2.60148955879239 1.7815562894014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0171265010107017 0.0179140722998501 0.000833462366821742 0.000693691499952191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.035697321603346 0.0106591067713908 0.00407442282190649 9.92516653460638E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.022122805719693 0.00360650100638974 0.00185645877794564 3.69532474853978E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0194392820569391 0.00799631390454709 0.0012219431556262 7.74327780618551E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0264586208193766 0.0250839863327155 0.00186990903122491 0.00140481171739273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0480811156532208 0.012930084615957 0.00748301105078823 0.000179534739719085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0301905904075501 0.00572907107167123 0.00339285257354601 8.60464393959586E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0272306872322085 0.0091929677666483 0.0021008578000669 0.000114396913133816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0426537571184896 0.0388069952018418 0.00483661742094651 0.00347415050354264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0728622369436479 0.0185315421192085 0.0171278995261733 0.000515113652807375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0460398242031817 0.00912268182120798 0.00760733970822773 0.000218033569915282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0418092913947727 0.0110261623941944 0.00480679168131613 0.000187314158397644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0790699149085819 0.0712854844550337 0.0169603447145526 0.0114693947990418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.124877890064907 0.0370317209296574 0.0508595795796354 0.00337778257168564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0823917113163029 0.0192683070709247 0.0228379242392843 0.00114879414721464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0740384360912773 0.0165510857895763 0.0149261737365749 0.000550303651683996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.223788247460189 0.207649149204193 0.157591153287127 0.0813730410935311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.295339751340421 0.169041071465786 0.329876339618515 0.0886283388849182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.197304055358936 0.0953251770205235 0.13741319092893 0.0376880018077829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.181887389214031 0.0682976324177661 0.0941337891795901 0.0168719398145247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.370909175415927 0.359208723469016 0.47709871118206 0.204386158591338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.451460206058841 0.332214832126638 0.86955647969032 0.327668262563811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.295499835577809 0.203998622237158 0.355306296158092 0.167060263808977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.262168496295519 0.146173109201736 0.225315921134156 0.0805575519927308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0665677726066945 0.0575517166908114 0.011866074071216 0.00752555579789616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.108801335557255 0.0268082548392313 0.0412070997749807 0.00142915503903922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0719027071107042 0.012386199397591 0.0214308415010609 0.000406236663820019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0591433306894969 0.0116144202693381 0.0134393910143538 0.000181716282183416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.129790934350953 0.112428180708775 0.0464088021845987 0.0274392806181393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.194131006361249 0.0655216945362537 0.135847971060064 0.0140364914525761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.133862783101584 0.0270227121840517 0.0728311846566585 0.00229746008631698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.111066970238807 0.0215717139474967 0.0476761699105702 0.000929152439857649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.251639902071776 0.228472938771293 0.190814720382814 0.0994181591101355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.338922841074672 0.171444746611725 0.471820201446306 0.105575396221767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.249938245457675 0.0768459371038019 0.26496904976371 0.0230312857953356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.207381759346483 0.0530053548484058 0.172702555323435 0.00963285356353311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.744589637733729 0.74852875585764 2.06395602164113 0.740877228901548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.874766039251959 0.685918615546898 4.13156068489294 1.46736652610846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.62101588224006 0.411762469518697 2.03199187727128 0.62161988356366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.502143098802214 0.249082124053956 1.19327623994899 0.235183699072788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.31237544711942 1.36605653842261 6.55618826750664 2.12997700427885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.36255999525136 1.27140778409589 10.7206926366976 4.94816495738894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.973798983652386 0.794961063912719 5.51727324987476 2.14881468617138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.769774617938064 0.426055063088895 3.23746179803665 0.76481301754226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0314165898513529 0.11033113935519 0.00402698598585982 0.0435509052124707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0276077143679843 0.0419936518363427 0.00705648435292553 0.00806614160315353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0334949638683088 0.0424070716483324 0.00859369256474592 0.00898542786036484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0339768372301159 0.0521043854058847 0.00846342596512104 0.0115508281212134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0363562550790916 0.112138350636127 0.0053098285738926 0.0445993235152484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0287603056291705 0.0418067262435755 0.00741003983966376 0.00785045626792319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0333353086442768 0.0408978843629376 0.00876023959539434 0.0082809582788462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.034292853635448 0.0515479517446975 0.0088829525877078 0.011295483697283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0495185488100122 0.116119014311109 0.00912518950717959 0.0474055331518914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0333267584521566 0.0436366686489756 0.00913565327484851 0.0084842124406458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.03544175689811 0.0407795697377258 0.0101969860456046 0.00830031635514378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.036623628779808 0.0520100254663337 0.0103735123054288 0.01154628676576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0840390533178794 0.129725656976295 0.0263789035008707 0.0582533069096884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0495557835107423 0.0530665991425279 0.0167489952418361 0.0123647325808949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0476985799561622 0.0466428567727624 0.0172124258346802 0.0104526122080746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0468450370728082 0.0567144600003855 0.0163968139641447 0.0134795245554884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.235342482660004 0.237486850989443 0.193017050896537 0.175513990223077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.130716900440143 0.115903471264739 0.0975754276220779 0.0592275024052697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.116624676862407 0.0952742381255817 0.0869156549189742 0.0428688779713066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.113292093950323 0.0928496505729232 0.0792490966809959 0.0366771859647369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.393802938174803 0.372626083731384 0.574413145003752 0.406955329940618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.210990595281205 0.190952340110797 0.245937895140084 0.161616645319178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.18861335323398 0.157362332701283 0.214362317056618 0.116672595217755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.18384425321304 0.138905310913511 0.202205621343501 0.0841023159488556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0720184534548851 0.121896288434961 0.0174880585393863 0.0525429475660756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0452521957318587 0.0524412061593871 0.0147548346335065 0.0134883293017665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0427917630967994 0.049503218040282 0.013340864700885 0.013225489746488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0422258660358969 0.0575832141312462 0.0124251453804858 0.0148498450905763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.131880688525794 0.154264434909526 0.0566524868827729 0.0801610440779147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0784940749537686 0.0751479529797653 0.0392959704200487 0.0291174627934822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0693205413894029 0.0659559166468183 0.0317744165294627 0.0242439225307991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0664646768261474 0.0691427253509163 0.0282555150964968 0.0226245019893542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.255695739064341 0.250943689841891 0.207104862180322 0.197057623096011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.148584358269928 0.131024299703144 0.133864282176198 0.0895106530827158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.134050436964351 0.10763640943131 0.114101415061123 0.0626595071854675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.123974395725545 0.101624973870656 0.091073972835181 0.0516772049139582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.746413548440464 0.677378939742626 1.93632779476419 1.28108923600869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.419259265471948 0.380712398749054 1.06080033174309 0.836870175981329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.381569441771484 0.299310256075459 0.903206169456606 0.490340372180288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.370629311734012 0.265445145845635 0.783997268615212 0.380692196469054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.27035231012227 1.10956966256035 6.22626546581298 3.17534763658237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.714412971335632 0.618901427811693 3.19710579725815 2.1919321245216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.629911296049754 0.503408214788369 2.59074657646392 1.40961071366692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.618484764788701 0.465517513183376 2.22302952802544 1.20301753690739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0567364599111614 0.122840166556412 0.0106398871500951 0.0634494149922011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0398682055189045 0.0768660276031767 0.0168584649572741 0.0307240716392505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0438474418476763 0.108224852781915 0.0289909354441302 0.0776178441704269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0510428957201234 0.175328153900508 0.0518150916947502 0.191479300834513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0595789877790627 0.126146029386289 0.0114313395377308 0.0651591708377098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0415063063557222 0.0782251534254555 0.0175090200366651 0.0314551360188799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0449893216053852 0.109192443797764 0.0294452070740782 0.0783843407822715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0517629536234467 0.176154531835747 0.0520125654500093 0.192455583577645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0671470826882674 0.134441663384023 0.0137580244205278 0.0698815647886961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0455265323589346 0.0816400925896019 0.0192665489777994 0.0332800245315598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0475482014543326 0.111482933721884 0.030634080309323 0.0800650090616976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0536186090405206 0.178150204737604 0.0526556279812723 0.194480690977346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0908565244269957 0.157312531712308 0.023258445250869 0.08583542031253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0578045638701421 0.0919694403211966 0.0260270277552018 0.0398951517900066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0554654174914031 0.118240744960585 0.0349695037621957 0.0855041354640181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0595782285448459 0.183823988091043 0.05523484207791 0.200719327253458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.215973101295504 0.277419072624365 0.128199065791121 0.224274738288281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.127031913172227 0.150073253350685 0.0971629417534477 0.0990231006914566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.103543422316497 0.157250252474752 0.0794537159876689 0.130760648963772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.095751840133196 0.215816463864111 0.0824809465261115 0.247016065467611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.351005600018997 0.415270544488993 0.353274354569219 0.474023993446132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.202526143972991 0.218161014005422 0.238930085107747 0.207609452102285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.158861514064892 0.204260853032841 0.168950935522111 0.210397700541709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.139758201505274 0.254399675562818 0.140239432836677 0.323701958517695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.081953347517236 0.148861019590976 0.0191865945263757 0.0794364409905223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0533466749423583 0.0882141581485672 0.0230666863837229 0.0375168474241442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0527344464948575 0.115591549528194 0.033371256717701 0.082979178875139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0573045629319623 0.181203305171533 0.0545222296427742 0.197014188939273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.129733796482303 0.19342152303391 0.0458203147792334 0.118786657270507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0790770820453134 0.109652745888523 0.0412275069560831 0.0553948459832806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0701790616337803 0.129523492999778 0.0454558933345066 0.096222375854937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0702709330897713 0.192556253336019 0.061939977873268 0.210166443778813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.237886539444332 0.299443175181367 0.157608993711909 0.261286472422009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.139666969090959 0.162365092288277 0.11436933186634 0.120154201391455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.113601229893927 0.164902961494848 0.0931486774670769 0.142630716682956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.102540814297201 0.221022538659962 0.0906604239296315 0.253746797253277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.697275742764296 0.770219119953017 1.54105194787205 1.56580558186949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.394754975561702 0.405074357489705 0.896012207830173 0.750666892219871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.304824852886857 0.336681211246896 0.597452680782215 0.563339990471606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.257272434204783 0.362374171858122 0.419721477973363 0.620921200049432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.18481293601109 1.24868995702043 4.9277478074647 3.8625764129323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.647985440273965 0.657693446851955 2.52243588336707 1.99029370691975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.503651136217892 0.525880765017085 1.65019219970474 1.35984405662696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.436273273604841 0.522450165323201 1.18082763009814 1.26768332162625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0392677485895379 0.0407756564377 0.00361446311864769 0.0064519698394353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0184567039475441 0.0189775467798739 0.000920495834630797 0.00161416475492279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0184794196644479 0.0194976701974681 0.00104907345589661 0.00179687342959739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0220679422454706 0.0235688452067058 0.0013228530562075 0.00225161878374708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.043673481429675 0.0455890125478374 0.00447662839506705 0.00794054214383158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0199858424075072 0.0205267371363662 0.00110572107154291 0.00186658296150181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0192567137091369 0.0205170919470593 0.00118206322836175 0.00205025452730517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0227062763299641 0.0242809267729303 0.00144392979575683 0.00247924610614788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0540090895708142 0.0565518668605474 0.00717040506153282 0.0118200574853069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0240212449395209 0.0245100527559707 0.0017296584910416 0.00266325116419909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0217616664145595 0.0234307883837865 0.0016564751527857 0.00282684864751745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0245799005336798 0.0264634870023505 0.00183260944108613 0.00315005246855847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0823594994858656 0.0863247639018459 0.0191795289726633 0.0258712581151345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0353394612708292 0.0361456644403003 0.00440959534413044 0.00585855976843183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0297859603941489 0.0324324880217493 0.0037149534388169 0.0058599673281854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0307530125979452 0.0336564488399466 0.00348190458327359 0.00576224513979184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.219435324969572 0.226376086816476 0.172289157382153 0.152648774355318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0908360410290731 0.0931216010795616 0.0378303494733234 0.0385292621996399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0718827574079886 0.0772897613894224 0.0300620235626557 0.0350755970855594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0649332295431651 0.0709192662240201 0.023762187153598 0.0300255336655466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.363635477924516 0.372760628273207 0.51837020744199 0.384859781933757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.149497331088038 0.153061568585109 0.111991514382119 0.103078957942266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.11778895180911 0.124014338854829 0.0908652898411504 0.0896139461923432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.104314122985947 0.111244635023888 0.0714782556616353 0.075267563149146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0719471997632953 0.0748183718098425 0.0142322976132574 0.0192663179520368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311837063293308 0.0318984787551221 0.00339841805816163 0.00486319029875858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0269514105670081 0.0292433960515855 0.0029714255241763 0.00473761099054385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0284247647879745 0.0307810983531097 0.00284500571888098 0.00458019713349394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.124552814607254 0.128737988764882 0.0504800093888012 0.0532710361969343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0522397504289963 0.0531962425420423 0.0112185210165859 0.0135772309229584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0421406363918117 0.0463904044479931 0.00895461633339133 0.0129233331702866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0402499038822333 0.0443911398485575 0.00749149320986153 0.0110795209730089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.238115853970417 0.243655414894457 0.21350547211127 0.172343659556876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0989963185858363 0.0997777802032105 0.0468405242976257 0.0466234874017111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0771005971584361 0.0834731682166865 0.0361798582133042 0.0423155770220747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.068470782094792 0.0753337954699362 0.0279421977083337 0.0349350946050105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.72163381891441 0.722811563578741 2.37235787379416 1.29066682697345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.302977779926087 0.2978334298409 0.555220042780968 0.408331007006138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.229983687658701 0.240351195002443 0.404190742994839 0.360317890375983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.200712313904804 0.208692744316509 0.317219237893475 0.276943807698686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.24494828690528 1.2393818779387 7.63541041630779 3.58402811789367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.533199985663414 0.513150756874674 1.9421901572283 1.2645592169185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.396054980954613 0.404773095627514 1.30309640151609 1.03118772020144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.34996021643841 0.357082441567348 1.06346563480892 0.819113266632398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0552013868788757 0.0747866039085028 0.00941157545402165 0.0307333812639003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0284805587700627 0.0538015673828018 0.00489662589163329 0.0173330964535483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0292907328840343 0.0695182490682677 0.00630315911040434 0.0397944590287363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.041214057423997 0.105933405939619 0.0129825426671258 0.0922562890783036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0594518904815604 0.080045929291003 0.010208422745259 0.032588271088755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0307193229408623 0.0572878727099283 0.00534968953601517 0.0184876745568562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0305919795511847 0.0718532601087714 0.00652308500097166 0.0405837794217377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0422594477480428 0.107853486769954 0.0131807879395619 0.0930882614419705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0688200986577667 0.0910277351324354 0.0126309955458368 0.0370999968370189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0356979753313494 0.0646525116730917 0.00661442694111817 0.0216266744959774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0335768637864567 0.0768878086442644 0.00713895404774183 0.0428075210858627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0444425815552868 0.111915445733733 0.0136401417722583 0.0951715724619992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0939274487240509 0.119669568714495 0.0223342197838944 0.0523533290943772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.049109224678513 0.083831578913217 0.0115718239974896 0.0330635386934364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0417257383756607 0.0898994290306938 0.00949030268893572 0.0504296410710262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.050446085103109 0.122545374472214 0.0153188434814156 0.101858843054908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.22092280652692 0.255688583346831 0.132869994062779 0.184042517357237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.118282861105492 0.173312569426383 0.0684777076784865 0.13997775184031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0831620305523033 0.152196628126318 0.034537327841686 0.118246812974747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0820156879585428 0.173965649617923 0.0324492241873366 0.156172701518951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.358013415517426 0.398558626360313 0.375258156844239 0.415039251712987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.194841618567971 0.264032073863701 0.195517350596572 0.32962329064512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.130519840778249 0.217796428547124 0.0900358017970773 0.238620626340399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.119160175822221 0.228846957370311 0.0697510506585642 0.24932301357399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0846976453636406 0.107432696599751 0.0185263531235293 0.0449157138733871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0433995011384027 0.0751725899122572 0.00942498159168885 0.027603604191594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0383869275930014 0.0844486033659263 0.00835842155635454 0.0471315131241879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.047511591105112 0.117558211226748 0.0144098712649628 0.0988870022150898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.13251978098624 0.158690317450625 0.0457970019867611 0.0802206401511156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0689384644606921 0.109015847705934 0.0234573153006508 0.055327839619728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0539269374822904 0.108136565564526 0.0146679340399178 0.0658463092842039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0588076875673914 0.13686794925702 0.01868605683537 0.11459870371923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.24046494659078 0.270473598483313 0.163793203977555 0.205614766375436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.127933844764778 0.181860642738572 0.0844379244092153 0.156292088957049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0904430015127823 0.159698332246856 0.042159278155794 0.131571744334987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0862856058444102 0.179652777592153 0.0365702288680888 0.165948197019573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.699960280589941 0.740038093823485 1.68055497979121 1.30751594658117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.39237477078804 0.467110087217593 0.913868209420371 1.02117785965229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.265084463864564 0.370967219138048 0.434394035528517 0.709557224307684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.224573815385962 0.354979420565125 0.293510462544187 0.584238708263862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.18804525199157 1.23120376864578 5.34571726217133 3.27158030275863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.660103204775428 0.744758834408269 2.80653541974894 2.58445552856583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.475370660239748 0.590851915031239 1.54205480934067 1.80994019499719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.397130071528491 0.53739775339352 1.00912803449124 1.34301631251676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0677011071790201 0.0837746032204286 0.0111411424936693 0.0254683967084007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0398141004539013 0.0415092603118501 0.00998106323076404 0.00935323079607395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0412073636363973 0.0416660329341515 0.00953061493762461 0.00918601078230652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0484554023553756 0.0510711835575365 0.00839741861275586 0.011524114584585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0711114316387078 0.0863619852672017 0.0121254523770942 0.0266264576764753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0414348075079311 0.0428067056070698 0.0107434150861158 0.00994147767936149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0421895122024761 0.0423377342523033 0.0100426368095405 0.00955215461042188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492247719278031 0.0516510666548657 0.00882078775534907 0.0118125799205061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.079215810547833 0.0926431403692401 0.0148633351468745 0.0297013674219616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0459273447240321 0.046351965269098 0.0129709111247419 0.0115834800094843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0451987388278307 0.0445688270177529 0.0116587823886894 0.0106927265124665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0514705137496401 0.0534181888386893 0.00994706231354661 0.01268472579704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.103038388404876 0.112008166410221 0.0257991059971591 0.0409555773670369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0602346651884488 0.0582162364318742 0.0219450604022382 0.0180048319253662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0556202529404514 0.0530605074083999 0.0180490902265619 0.0154264926987108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0590550713982776 0.059961876739885 0.0141559843710642 0.0161683185232569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.231166414639274 0.22822576806006 0.149944558757058 0.147095272723642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.13903476982398 0.128438082086481 0.114751029916149 0.0834190454044374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.116724767421901 0.10576219804808 0.0844801312851707 0.0627969813163892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.107029163023125 0.100753030513755 0.0590632876837608 0.0498999686008536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.372089031754462 0.361687719091918 0.423810902669613 0.339021586258203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.222690011623237 0.206394354772364 0.299231236255014 0.213859142700468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.185331930112689 0.167601240890355 0.220397018768543 0.156347696513407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.162156764710224 0.150752775021209 0.147818759477003 0.115176327357876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0938191466091715 0.104399239393812 0.0213810461387084 0.0364032808180859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0539047331104813 0.0530647779407881 0.0173472724027243 0.0152175369746156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0504087586562494 0.0498425465369142 0.0145478722782051 0.0136109699656039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0558836886939781 0.0571424987959385 0.0125088369938352 0.0147429234473008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.140838468038466 0.145933260405534 0.0523865534966468 0.0658194357600586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0820389353444253 0.0766146104284236 0.0397657880956166 0.0309029746535574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0708604983596658 0.0673388779263558 0.0301212429553111 0.0255647156640025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0723025096390432 0.0704540176811679 0.0240771945811735 0.0233780152860249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.250792922146782 0.249220917103978 0.185419797364605 0.173140678251253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.147207308059222 0.133615374587682 0.130208394552345 0.0908949922959332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.121540531124697 0.111789284838802 0.092715847280174 0.0707628582247928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.112991431506012 0.104504370526409 0.0698093303352212 0.0551661617553383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.721141963849528 0.705968537075132 1.82511876296362 1.15492336307922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.417231721841256 0.38767585224912 1.11031667429023 0.75003006349548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.337491140662532 0.320877615749714 0.770933957009115 0.564948769195941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.299709173412248 0.27216863972201 0.579797039513824 0.387039963645086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.22136330705906 1.19438531849248 5.80612889497029 3.09522592168899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.685621773771026 0.642605208891761 3.15059470449729 2.09536258401453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.562574143848187 0.54888316903058 2.24866464438321 1.64642847973408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.494297908817968 0.460974634567327 1.66002296479808 1.09956710301764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0897089267576176 0.0940891832642388 0.0285696435534129 0.0428556150337025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0663794209067134 0.0801739674873871 0.0305820305551627 0.0500216062492799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0926177312448527 0.11788651175228 0.082165327602974 0.138849944471619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.140029136800943 0.181506358055634 0.189608890732878 0.324395947442542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0927993102957965 0.097664744775888 0.0294890060709319 0.0443936252057136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0681656386844226 0.082028103125357 0.0313736726809087 0.0502982253721993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0937752347537913 0.119301442755913 0.0828106699721298 0.141757915043612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.140955900815567 0.182435592130149 0.190215336162314 0.32532701658256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.100211934230642 0.106260843690899 0.0321509634604927 0.0483347798063488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0733261653725884 0.08673696832317 0.0339506276027469 0.0542495049674993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0969825462404447 0.122153315321635 0.0845626967553985 0.144433016640029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.143572641789093 0.184356894832779 0.19184736383634 0.327486729318945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.121927751365986 0.130349659666893 0.0424356564995516 0.0620451899128552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.088613723826799 0.100745434518136 0.0436512533298844 0.0626897604807587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.107219367835635 0.131086527249798 0.100501037496629 0.150715044572448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.151915380690904 0.190484814319408 0.209352849824389 0.332757434159403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.241415195843082 0.256588341893637 0.15287183977944 0.187646874507974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.168713397818964 0.177777456166945 0.139007355575953 0.14745591897955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.159813795590045 0.183014281947131 0.14790609797385 0.209803990233596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.192496398264505 0.228967160103498 0.241332822288626 0.380958232780482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.37445889960388 0.396501101375198 0.383020616548344 0.422453426383615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.254091548449729 0.263831285852136 0.320946448838725 0.313835743527841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.219626746057007 0.242686691232201 0.25756583458009 0.320142487472937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.240166805481476 0.276148655078945 0.317350297698295 0.465954802836036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.11365174035771 0.120652587755536 0.0384928942084466 0.0556160762441082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0827372717248298 0.0948361152197085 0.0636495243130943 0.0555099025920717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.103426235816019 0.126651032231058 0.107263042965463 0.145325957238449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.148986615016772 0.187960689323393 0.206374026020078 0.330381377103236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.158034891609179 0.166682218641898 0.0676649120103261 0.0887400014359465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.111180252562222 0.122657160377748 0.0757537570205721 0.0780774810397272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.122041411250265 0.143977085113825 0.111338420587464 0.160103082589548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.163115499649184 0.200577108959969 0.213999523166818 0.343156038106708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.262576901264638 0.273781094150226 0.187405174151502 0.211119732859635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.176802855889756 0.187080105477941 0.154284525531892 0.161939277176169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.167609313049875 0.188001390618529 0.158411516577811 0.218021627173152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.19862408744442 0.233669998782072 0.247391009571734 0.389508930519089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.716179337198751 0.736852343053959 1.6043968157183 1.34655103997127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.461715146305828 0.469220969053523 1.16044028760347 0.993141268920774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.377116108176328 0.392496508082825 0.756973705981462 0.757345776344906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.366181076526301 0.398752938469539 0.669499208048303 0.804531235386166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.19158627984847 1.21562453206642 4.9825032676057 3.50289241806646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.747549357299108 0.756066428342216 3.22949890397129 2.6190587207934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.605365547281168 0.619396177238929 2.05350004562822 1.83769993996145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.555663470258948 0.589252285432597 1.56242901013465 1.61638407214146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0296906993651094 0.116923957975906 0.00287598636282402 0.0491716587904044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0370669264683809 0.0412319832560783 0.012696879088674 0.00768249216294577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0421456517427094 0.0388963606033947 0.0131266203572073 0.00728140821333929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0464359004845287 0.0501012749132118 0.0144469717609268 0.0107300952337055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0352498655658561 0.118306690649237 0.00383746125980836 0.0507043495612644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0384516810904344 0.0421090787401696 0.0129272238633587 0.00816380478897076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0425544653700175 0.03929558164442 0.0133551553835119 0.00761732480251559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0458981053994234 0.0500897536370135 0.0141163107955103 0.010783384491162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0485870921426797 0.121662642514645 0.00705542253501884 0.0539301495133316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0427714814054719 0.0437606084491233 0.0148152522171615 0.00903707891270654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.045390042417844 0.040832436217876 0.0154054423858798 0.00849367619683955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.047160523058717 0.0506943755528448 0.0151958838316742 0.0111405867699846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0838390460026689 0.13319911653896 0.0204840215503221 0.0647327107221489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0591625791952165 0.0514858508188457 0.0242729764328188 0.0126161910926684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0597056190497088 0.0468420173548766 0.0252384959340635 0.0118262276486806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.057670367498028 0.0537252917387365 0.0219873669492217 0.0128111750481523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.241744849483634 0.225764662481431 0.191354649089696 0.164436110180126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.149066368984179 0.101726286532205 0.131078295314645 0.049202376837232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.151473015357264 0.0862588350594648 0.140558428828248 0.0461981918145197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.135259055039948 0.0743605727844187 0.10266525382239 0.0278427948951618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.402823913127799 0.346473614714353 0.550355269932821 0.348817397146834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.239170877597361 0.164938720822881 0.326557010716943 0.132591775925211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.247545119378723 0.136684323298147 0.353457692736941 0.118815135783156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.221781332298397 0.104401143563072 0.26039684284183 0.0593568343116175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0732830972236485 0.124921276644628 0.016282832578963 0.0560247416455435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0551002463442749 0.0473260982106499 0.0239410829944763 0.0105067964197343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0537098588993807 0.0418507374205436 0.0222298486558257 0.00880015410007394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0587638754641989 0.0518629855127386 0.024299479059088 0.0120050444986734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.135597999675193 0.153233087760497 0.0555519981094757 0.0811138347683011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0900310547113395 0.0650606159501875 0.0537724604221621 0.0192207305992801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0821628796779978 0.0532866928748232 0.0487553682534221 0.01452251998007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0852685498525823 0.0574423955897409 0.0497489277556777 0.0152464003274248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.26189836423826 0.24054396597686 0.208354404963486 0.186960496742473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.170675756684752 0.110842341404803 0.18047143831853 0.0541206966738167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.149187624105689 0.082059031415185 0.149960608651489 0.0353906415675683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.15175859896236 0.0736694379970226 0.147386352357529 0.0262316223674526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.812875703517915 0.653624528078776 2.50675495760058 1.08537568926059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.477459335169516 0.333940824742908 1.38294815824244 0.513569933710204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.436067139213612 0.226095881741935 1.24094993928499 0.28120208049289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.423648646099453 0.17678635382841 1.03696995661286 0.149043914201262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.38388040507691 1.10240645887548 7.99367988156825 3.05562526221324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.764478204620836 0.543666285244675 3.61867239474741 1.37363059630953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.719200024821922 0.399236143757706 3.41713685973994 0.807347886570195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.694153108485024 0.319253944507755 2.81571217274243 0.527253418738884 NURBSSource NURBSSource 18 180 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0502347397854093 0.0260148229007675 0.00723128870863609 0.00234282854418839 NURBSSource NURBSSource 18 180 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0884445956949396 0.019101061495996 0.0305943626789964 0.00171100458313567 NURBSSource NURBSSource 18 180 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.169296757816908 0.0391055669734999 0.0960105143491903 0.00744440628881924 NURBSSource NURBSSource 18 180 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.244375546813361 0.0712315689192913 0.170890367715209 0.0228039640091084 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0507730856718786 0.02657937709278 0.00744050504945797 0.00240947915740251 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0885868390025589 0.0191242965778774 0.030600208684994 0.00171477578984877 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.169366923877519 0.0388554812132752 0.0961452262344802 0.00734274054476794 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.24447249714002 0.0710716530883062 0.171060876927058 0.0226842265810139 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0524972819520739 0.0282900129232367 0.00795766743843869 0.00267023975154403 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.08887036797166 0.019452684396264 0.0306458121343548 0.00175283143772623 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.169458830144114 0.0388228769419476 0.0962807872699364 0.00733510031377877 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.244578853995557 0.0709142996117637 0.171237475494125 0.0225681566863865 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0595805349086135 0.0342828602546342 0.0100253579011134 0.00373317176592409 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0898390975060342 0.0209404485733696 0.0308506003624916 0.0019392561659504 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.169723997239196 0.0387740523947743 0.0965896683027821 0.00728654843620372 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.244819469509551 0.070616612017011 0.171611853847204 0.0223467461953228 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.105545172863296 0.0737434569271912 0.0306655546082542 0.0150154567116796 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0976960703442222 0.0330148343468998 0.0330654337041266 0.00390021701626585 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.171878937637018 0.0407195679657028 0.0982576014800331 0.00755916982913974 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.246362453787529 0.070078523235682 0.173208747553642 0.0218145992288397 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.15907475205417 0.118292608676656 0.0703138824083714 0.0359219070816713 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.108127128202546 0.0486397402035658 0.036914596578314 0.00754223451956268 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.175336017142238 0.044314272566324 0.100658691596252 0.00830258095513469 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.247965510970802 0.0699266753232529 0.175257932263054 0.0214584173680197 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0537213276330991 0.032431806469995 0.00832187381693883 0.00343524480176163 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0890196654515613 0.0206356736412375 0.0306605260503858 0.0018857030553562 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.168515548113204 0.0394611415329035 0.0951738307415198 0.00746033265255191 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.243694474500826 0.07131514052765 0.1702877372798 0.0228195918629471 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0667763038062862 0.0475387280089392 0.012662004326595 0.00683148030541671 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0911719023232948 0.0243862095536274 0.0311650632386781 0.00240816487011542 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.167961235942585 0.0401344657297842 0.0944531772586804 0.0075816709214358 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.24309135040386 0.0714568138967844 0.169754312498617 0.0228065093243601 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.105676301201322 0.0852167469549594 0.0309929152544427 0.0201183497185135 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0981775194718422 0.0350366671374406 0.0333738127837596 0.00433348482455726 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.16747727015143 0.0429022682763809 0.0933688349468369 0.00827481651692139 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.241938351634044 0.0724745050097301 0.1685611347241 0.0232630778451786 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.280922341579051 0.250852681330232 0.228466344586056 0.147722290792086 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.138097802402281 0.084884414516197 0.0522766320443061 0.021094623790553 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.172329538683749 0.0607955841616027 0.0928714747850429 0.013664143059759 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.240989521523965 0.0776463349476623 0.167438120472438 0.0254591827547603 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.441758894583808 0.416110877931817 0.57894660732759 0.367773550693984 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.18795955733616 0.13510080530344 0.0856226268669381 0.0500098507949104 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.184646370288073 0.0844889441578992 0.0969904006271088 0.0234862962997334 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.245556919109728 0.0871477605164834 0.169848994171856 0.0295640964739387 NURBSSource NURBSSource 18 181 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0244224003809731 0.0132235936404277 0.000774326434971868 0.000265856158020468 NURBSSource NURBSSource 18 181 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0699747874364934 0.0300076293137478 0.00243699115318814 0.00158206186795109 NURBSSource NURBSSource 18 181 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.145017239643287 0.0593846073427234 0.00821429784601767 0.00338738717660018 NURBSSource NURBSSource 18 181 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.202012472858097 0.0765725047363299 0.0154036751134581 0.00287735258054564 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0250098855997849 0.0143385487425533 0.000806687724265523 0.000309736878510473 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0700311023801184 0.0301538277088187 0.00245000875256493 0.0015982872107635 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.14515617170151 0.0592166079575546 0.00822993961422374 0.00340513931633751 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.202290345033029 0.0763392506025195 0.0154712490303162 0.00289940807993276 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0272919696516773 0.0173529376210067 0.000976416992416677 0.000484134558159543 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0700646745287274 0.0304589990448017 0.00247443777546926 0.00162816414642182 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.145292384972773 0.0590536128681632 0.00824882846525077 0.00343125129096515 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.202576480205247 0.0760999647753608 0.0155419706523524 0.00292743411246721 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.034255581682969 0.0258503364638949 0.0017472400464621 0.00125928651081332 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0703279202647105 0.0317092920949483 0.00254300678177844 0.00172767246791571 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.145847560085261 0.0588522171117873 0.00828096049444844 0.00351382611663317 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.203268757102606 0.0756902828853202 0.0157205609112316 0.00300869524559677 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0736118643599579 0.0673719501526891 0.0117105542098379 0.0104247102054101 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.072242915997136 0.0407493631173477 0.00332048144204857 0.00273952425588287 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.147267511567685 0.0594335145844231 0.00863572631839827 0.00414659712962187 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.205811884684976 0.0746934376778256 0.0164736305221034 0.00359555794629099 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.117961347756742 0.111517228559927 0.0332490763410954 0.0290805907083006 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0776330095688486 0.0531511408607698 0.00481044030035676 0.00488581176388083 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.149585273459012 0.0640391785544738 0.00927540994995945 0.00537990561634902 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.208698703446587 0.0766362260291116 0.0174257790201635 0.00471327024483475 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0314644939650868 0.0226157137598729 0.00148786445027665 0.000992940586949371 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.070146049262387 0.0314875846373023 0.00250649767752935 0.00167148653936265 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.144251611769859 0.0585349119624935 0.00820024271575617 0.00327288773255579 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.200522113528903 0.0755096679094937 0.0152317403199304 0.00271832369443866 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0463861514513579 0.0387742616534116 0.00392698279736189 0.00332531343400768 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0705006977353916 0.0345555832448577 0.00269186851965266 0.00193129569137512 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.143383397618942 0.0579115050830173 0.00819095208774276 0.00321724714699153 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.19914090382542 0.0744387263578188 0.0150787325497244 0.00259267143973312 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0813514889528653 0.0745411541958722 0.0149597159563087 0.0131621426597771 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0729390732417697 0.0433209256631885 0.00346615714025509 0.0029987377265944 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.142333312632328 0.0581652481111062 0.00830383012376043 0.00328567354129053 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.197046212310391 0.0724261783929619 0.014778999037087 0.00243479753711305 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.23388236134691 0.218338125066923 0.153489228763215 0.111288484305142 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.103067355690351 0.0861809549101581 0.0123943439536528 0.0146740441838741 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.144072632517694 0.0685956600058571 0.0105985431129298 0.00644726795715427 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.192303348801244 0.0676187735463189 0.0148508696190936 0.00328314995333509 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.365036845345498 0.341157817706864 0.413943441324156 0.26567766974611 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.143687306642033 0.129169973234383 0.0307505647961437 0.0374961154682369 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.157314730159825 0.0932824516021661 0.0160126284398221 0.0167419714675683 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.197382220837392 0.0758925731598439 0.0170153613301182 0.00724610074886827 NURBSSource NURBSSource 18 182 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0313285784960787 0.0559295771478629 0.0027906677329568 0.00495812437353776 NURBSSource NURBSSource 18 182 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0856789687146994 0.0958075069223707 0.0263135216426865 0.0266521943083332 NURBSSource NURBSSource 18 182 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.152212564774334 0.1375099425857 0.0608373470591737 0.0435354275056879 NURBSSource NURBSSource 18 182 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.21197139774363 0.163315616452231 0.0804426077756351 0.0713336229929904 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0315210737359423 0.0563223729925182 0.00277629514922928 0.00506395243875696 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0857831047548223 0.0958150874109892 0.0262818882042197 0.0266462752965749 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.152279743665644 0.137768674542021 0.0608339843570625 0.0437039871845375 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.212098962318721 0.163389335839522 0.0805343219806432 0.0713862700905896 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0322930057449755 0.0565807614458369 0.00283411019251516 0.00511879005061701 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0859855351566915 0.095876901913745 0.0262596734297045 0.026643640197528 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.152334530118739 0.13800659243022 0.0608246808306517 0.0438678874843454 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.212229880599157 0.163477821978597 0.0806287584360961 0.0714522731183753 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0356859270826774 0.0591603328232904 0.00317048444165476 0.00590720000491101 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0865199960601133 0.0962938713908716 0.0262493784584304 0.0266845286012561 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.152456996596174 0.138572635323379 0.0608209439895716 0.0442635946750671 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.212496225974494 0.163679172797506 0.0808206648764934 0.0716192617052521 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0577416325256321 0.0859350269888601 0.00739210862382535 0.0147395717878308 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0899439551530461 0.100012930258164 0.0265598668358313 0.027235407207294 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.153264979783004 0.140853755097258 0.0608897507053116 0.0459444071888578 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.213717263085914 0.164661961480312 0.0817081790727407 0.0726993918312325 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.08444392493625 0.123425714128666 0.0167796658372969 0.0333902042218116 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0950762030526385 0.105791721109945 0.0272876172117374 0.028596152196715 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.155830982954137 0.143253526511302 0.0616879765370567 0.0480037441666833 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.216471505621207 0.165786989298558 0.0837298933672577 0.0743618605020656 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0352487222700297 0.057207264165349 0.00317247934226975 0.00544582626375504 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0863602115080011 0.0965131025301251 0.0263805391010381 0.0269911083612777 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.152369204427054 0.137045933995314 0.0608126128149334 0.0431798462674165 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.211859364672222 0.162531291033297 0.0801301604762881 0.0703964408017244 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.042037481740245 0.0630818310359649 0.00421639953122883 0.00722047168003109 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0875498264910134 0.0980095421192712 0.0264216155690255 0.0274564911005614 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.152218022384617 0.136945328732295 0.0607580601974506 0.0432514956426872 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.211459365935173 0.16267542955105 0.079767610562583 0.0708530901117038 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0602761605087763 0.0841613399620203 0.00876017157078099 0.0148224649066926 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0909361024485534 0.102501167137038 0.0268395554167831 0.0287265665460854 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.152899819145018 0.136840431406651 0.0607298563241601 0.0434793758937097 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.211076250613269 0.163438665986824 0.0792786083364965 0.072215662770708 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.156317225867943 0.20488166506009 0.0665283619678893 0.100325454179282 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.110499410859515 0.129036910173251 0.0318415289832833 0.0387668049398558 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.156583894920751 0.13963323700853 0.0607779762498544 0.047192067401358 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.208994472628231 0.168891395046614 0.0776542446804641 0.082020516050453 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.249239040083756 0.318485389479944 0.185738346704704 0.243021699514625 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.134623237495686 0.15397587213679 0.04304641454139 0.0552397870264098 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.162300450081884 0.147296780651401 0.061842178913745 0.0578194779606223 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.208847750785844 0.180264638171353 0.078244425043425 0.101661008573162 NURBSSource NURBSSource 18 183 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0184438871205722 0.00877778126289515 0.00123260727019975 0.000253054077326891 NURBSSource NURBSSource 18 183 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0176942811264117 0.0151726666985638 0.000489416932808042 0.00109904191687861 NURBSSource NURBSSource 18 183 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0407817163570348 0.0300082943290451 0.00201644197132259 0.00395234061720381 NURBSSource NURBSSource 18 183 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0665784238765777 0.04395798438818 0.00499405033355566 0.00826230103324434 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0191708761488706 0.00935450462024672 0.00129820768404638 0.000279090053998524 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0177777674903065 0.0152923620867761 0.000495305920958065 0.00110727070912451 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0407955196887599 0.0300548592126246 0.00201578790318299 0.00396230713205631 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0666007122515249 0.0439829132817087 0.00500017286119752 0.00827146686221338 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0208453632044203 0.01096091339052 0.0014816958451408 0.000366588231248548 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0179993475349452 0.0156341559740828 0.000510757819476643 0.001129723761308 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0408294656059591 0.0301076396121193 0.00201778140832306 0.00397362929120176 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0666076264426372 0.0440110437943817 0.00500403000217828 0.00828034943757418 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0259706633068718 0.0158004411022792 0.00216396313887453 0.000709115491567692 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0186897175626189 0.0167009561307574 0.000566161241146646 0.0012053849652463 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0409292625971041 0.0302901035237323 0.00202604384280372 0.00400455982258506 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0666669133627042 0.0440858678885741 0.00502069606095598 0.00830393677099175 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0552043140372763 0.0398744097901501 0.00891018535532905 0.00421103167158275 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0248869849281496 0.0233247502681828 0.0011508481127121 0.00184854748973924 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0418921141497852 0.0318134915479665 0.0021587601609997 0.00425978248696297 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0673088383106252 0.0446932804641861 0.00515145120547127 0.00846889773598909 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0870657371643643 0.065869700367164 0.0219281980188062 0.0109575118595049 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0347064700441674 0.031587677583287 0.00241764223355567 0.00301938791292404 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0435496298639082 0.0342527981466514 0.00244612626183526 0.0047106649573384 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0684200771648208 0.0457642203309188 0.00539375562409664 0.00877585328446378 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0242740032292461 0.0143839379534629 0.00195963671082817 0.000608194168627197 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0183165898245405 0.016036165758887 0.000529964008731155 0.00113378467052695 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0408036550760815 0.0301672006757394 0.00201892361676983 0.00396504576371361 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0666259889112963 0.0441649804337033 0.00494288149638416 0.00831902223938407 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0358219201468528 0.0245328820505631 0.00399996730334797 0.00163804054620483 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0201516742107017 0.0181877251830478 0.000668856231928427 0.0012789124997457 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0410289714578309 0.0306404124196451 0.00204900020891468 0.004018757928827 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0667520064043672 0.044478810268485 0.0049078373856836 0.00839210332904055 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0636370384668669 0.0469260835259853 0.0119031520373069 0.00564409894576475 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0265867360966733 0.0235128249970092 0.00127317630005862 0.00180742418242734 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0421884510706854 0.0320918386758234 0.0021993623725233 0.00420532698832469 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0673788886693564 0.0452916960338194 0.00490042498657735 0.00857868022708319 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.17571069706882 0.138370374846788 0.0920152032781964 0.0428120760666383 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.061492225862374 0.0518707695512285 0.0084567583324719 0.00713332050262654 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0524950459374652 0.0423154447834933 0.00387499412963983 0.00590462517964082 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0732333921681913 0.0506410897622211 0.00550977201674364 0.00975955066793667 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.278107638518506 0.234425763885437 0.248165341110976 0.107876222278817 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0983579704561522 0.0836927309345105 0.0230898711354741 0.017057189354846 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0679188736130647 0.0551945172812129 0.00726042911644504 0.0088768545546227 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0829258377186459 0.0574324904226982 0.00711324476985615 0.0114777916997156 NURBSSource NURBSSource 18 184 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0203925927834811 0.0119362069108459 0.00137629460989355 0.000439116292594007 NURBSSource NURBSSource 18 184 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0187231868810395 0.0206418449106037 0.000797582405761323 0.00182324308876369 NURBSSource NURBSSource 18 184 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0353465198961796 0.0365950885180673 0.00293663683588448 0.00489211908233421 NURBSSource NURBSSource 18 184 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0630440275772645 0.0520307724839092 0.00933688265842294 0.00857622225293675 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0210162376661866 0.0129406366248342 0.00144775369211442 0.000492447901900627 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0187900898098425 0.0207426893097604 0.000799987672478467 0.00182062293150253 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0353819192989924 0.0365407197561695 0.00293645636491514 0.00488411312229713 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0630860503849964 0.0519907620410219 0.00933638048994118 0.00856770606446157 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0231026387531638 0.0153193137262313 0.00168633398602735 0.000632077042384456 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0190129656402591 0.0210343597810568 0.000815051136737196 0.00182567471066538 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.035452993811056 0.03652911437134 0.00294088369209196 0.00487790692258509 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0631343247720167 0.0519599803086007 0.00933805758067782 0.00856236841574473 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.02921630235566 0.0219335534575871 0.00259207642980485 0.0011737041388907 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0198862762702821 0.0220692012062489 0.000883084413920852 0.00185856293770961 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0356967908275855 0.0365784155982099 0.00296389077406562 0.00487241119314714 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0632351354653304 0.0519248376603271 0.0093417768230913 0.00855076723152285 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0637752440549087 0.0535540782469154 0.0116087479700526 0.00671796999539533 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0276744314795411 0.0285991967391346 0.00167486243549154 0.00229001815877225 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0375560305220788 0.0377908028697734 0.00317305571910754 0.0049102809608325 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0640208052932808 0.0522161062814166 0.00945065548426964 0.00854172746608911 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.101553191151746 0.0870573447934585 0.0294065878218154 0.0174889713421954 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0382579117023711 0.0364467633320692 0.00330975904148024 0.00320944402368111 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0407477699209799 0.0400177441340628 0.00359747087659103 0.00505825350731108 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0653294381428898 0.0531377446641492 0.00965127736205915 0.00859775140013517 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0262545439979332 0.0199077968293738 0.0021821113678679 0.000929412556727054 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0196119215552045 0.0222255833392239 0.000890453520740955 0.00190387532308701 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0354804401749821 0.0369225073407313 0.00296833409446291 0.00491232174584789 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0632641716325017 0.0526174954367352 0.00951907675037357 0.00902621226860293 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0389295225707612 0.0318783867095897 0.00454365470943352 0.00231820247079652 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0222271849590587 0.024802499224844 0.00114883448608304 0.00201131801759567 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0358721507613751 0.0377395402358628 0.00302202393058881 0.00494427940116945 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0632307827199916 0.0528076983923177 0.00950670103769426 0.00907251215605146 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.069168015470007 0.0578672909650847 0.0138004590112295 0.00779608005116487 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.030586873250767 0.0313836534476824 0.00219413978072292 0.00249895390146937 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0377080745219775 0.0401245436952602 0.00326357498560682 0.00508966573322892 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0633692386923676 0.0534404165794476 0.00952636211552556 0.00919932183334579 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.19391523857242 0.163883248718353 0.112739759594162 0.0582833183575962 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0733238261629818 0.062275977304021 0.0133734489339847 0.00803624593062413 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0528091397175313 0.0527990410025704 0.00593822030871718 0.00665134139449764 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0678552149846551 0.0585290341427564 0.010330523809258 0.0100878271995666 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.31458058878163 0.273896472104375 0.317954504466876 0.144991795368751 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.117878070000966 0.0947020041015511 0.0357979078811948 0.0191348384450336 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0721135563159314 0.0672662481042526 0.0109705468407203 0.00987584833226515 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0754720239694255 0.064638426484728 0.0114571820835544 0.0109513867353415 NURBSSource NURBSSource 18 185 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0241752941037454 0.0101925018503445 0.00145880490713512 0.00036019675609372 NURBSSource NURBSSource 18 185 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0649590244146845 0.00851752477968408 0.00516952616285159 0.000223387389408783 NURBSSource NURBSSource 18 185 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.117411134875143 0.0186689097121008 0.0148876227290769 0.00116613102277276 NURBSSource NURBSSource 18 185 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.162473740666523 0.0289071028809336 0.0286854827223186 0.00311061918780419 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0255117253938288 0.0105943262930425 0.0016564320011381 0.000378324784325572 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0649846373314712 0.00856857019507252 0.00518032388902585 0.000226532649205199 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.117308156330457 0.0186526990713406 0.0148773819149061 0.00116391192812623 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.162298536526117 0.0288600916449872 0.0286348624675654 0.00310619181520885 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0284882220961609 0.0116542589638789 0.00212222389422079 0.000438765232674724 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0649681326939732 0.00871584542383245 0.00520305974786599 0.000234227699263453 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.117175573341151 0.0186489713872397 0.0148505397250614 0.00116311998523967 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.162075223453681 0.0288686007637623 0.0285462402912338 0.00311039792528594 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0381799209351796 0.0147861744255649 0.00391194544405031 0.000662053639739458 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0654885761708127 0.00925910721618542 0.00532831949064413 0.000260671170520077 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.117158253584996 0.0186618349557583 0.0148714243781402 0.00116342093708209 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.161801873125721 0.0288069274217271 0.0284598084332594 0.00310395161608418 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0895063260241717 0.0332082653834567 0.0223558237964563 0.00296699527080199 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0702136386305101 0.0133400270907966 0.00652769720491536 0.000510919398649673 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.117891620584901 0.0192905060554808 0.0151522318073743 0.00121329637468046 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.161306748191905 0.0287588584309165 0.0282471836456835 0.00309173012295022 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.142933226006644 0.0544822143594342 0.0578630512563213 0.00772689848604878 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0790361567306495 0.018917180630036 0.00896549061928699 0.000982395551454562 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.120111999258482 0.020888404820619 0.0157660167811136 0.00135442407498405 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.161595200388396 0.0289125393755396 0.0282427203335709 0.00310685756932034 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0337371872226549 0.0137949214471509 0.00298744382966521 0.000591382478083135 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0655724255241682 0.00895268365131649 0.00529594480405183 0.000246654960599693 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.117626284269575 0.0186828213704757 0.0148556180504 0.00115059613288412 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.162546838227618 0.0289472000534974 0.0286133212627083 0.00309977631174434 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0530575204184714 0.0203356200589571 0.00749144740708293 0.00118800691783159 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0669825131816326 0.0104114443631883 0.00563740900218174 0.000323925679162016 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.118133033819374 0.018897515413194 0.0149154452728805 0.00115063261788376 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.162805411296615 0.0290000755018815 0.0286085594438095 0.00308668935253937 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0965749358158821 0.0362304247962078 0.0251180474315499 0.00350860917220068 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0713282695803668 0.0147860714435124 0.00681750160046128 0.000630929346911885 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.119835650827182 0.0196831626050899 0.0152096530766637 0.00118939406982972 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.163664181299247 0.0291551275138039 0.0286606778636434 0.00307061012255842 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.272409479984741 0.112781529820552 0.198839708705301 0.0305877836643944 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.108964022347137 0.0376364838440693 0.0203087408914471 0.0038785395498337 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.134059136307566 0.0259673647631522 0.0184902736391474 0.00187557631662097 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.172962011727392 0.0310877244280557 0.030109970110025 0.00319043403278986 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.422386068737842 0.20912469338365 0.503656261434141 0.0957223158745454 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.16014712476362 0.0619674550477206 0.0463953087276579 0.0101708637018615 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.157895482285851 0.035947001368319 0.0251149077345573 0.0034995399038013 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.190962703442021 0.0348663234043498 0.0335185356128625 0.00369438831121273 NURBSSource NURBSSource 18 186 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0399513418532751 0.0115732080623451 0.00444017971293124 0.00043136499459518 NURBSSource NURBSSource 18 186 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0431199737617013 0.0184054748893005 0.00102976950930835 0.00125105374084256 NURBSSource NURBSSource 18 186 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0872319413204382 0.03399046796626 0.00329728766872788 0.00497160891979266 NURBSSource NURBSSource 18 186 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.133172737163244 0.0544742897360015 0.00974604828728886 0.0133139586575499 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0405205641580385 0.0124816428478231 0.00462803146479806 0.000489410275826674 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0432088782193075 0.0183984092900015 0.00104119339080804 0.0012542610208885 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0872678944811869 0.0339752321613341 0.00328485927904633 0.00497067831229299 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.133282591216125 0.0544294702606233 0.00972131166272832 0.0132845935263423 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0426910015765134 0.014720598988608 0.0052164329542487 0.00065599245371228 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0432681984449588 0.0184978469124389 0.00107829583718794 0.00127245923055391 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0872978067071421 0.0339745567382181 0.00328449680437885 0.00497394211748428 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.133365375688595 0.0543389820926762 0.00968682800929225 0.0132412480439262 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0511663308791761 0.0212317205099005 0.00757742948861707 0.00129120099658555 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0440448327563084 0.0191752622927858 0.00122656634731922 0.00135828928765226 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0874432961436779 0.0340427661907224 0.00330305097141714 0.00500070143971527 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.133649395405628 0.0543284030986387 0.00965646049433616 0.0132102461500224 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.10675093441509 0.0539784711421898 0.0321178461910873 0.00767482756833393 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0541930952948296 0.0264043951502055 0.00300453710860254 0.00228343503898613 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0890343286290919 0.0351980470751823 0.00365202519297113 0.00523083399133956 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.134607337919621 0.0539706635817112 0.00944059920000334 0.0129555250270566 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.169128276948096 0.0882791720579911 0.0799588667821032 0.0198889358513153 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0708157765182182 0.0369651524793006 0.00689840408895164 0.00417932430913519 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0925380687521974 0.0385935620965469 0.00458123980717749 0.00606195459492245 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.137224758428909 0.0550826649125215 0.00969165391889181 0.0133725918600878 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0466296607702807 0.0197266222193947 0.00634520215059228 0.00112084979717762 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0438712570367804 0.0189412865118015 0.00118134940828581 0.00132197010006706 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0873215153074481 0.0340316142202805 0.00340282551852231 0.0049464437971065 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.133392747855259 0.0541686470577525 0.00989002543312992 0.0131001455835586 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0674039368514756 0.0333854741955852 0.0128881863302643 0.00302836283190708 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.046696676432365 0.0205963242212342 0.00163828231532313 0.00150572419093766 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0873785446978511 0.0340726164652687 0.00356260973451598 0.00489503589244226 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.133176853307761 0.0536703912922323 0.00995286977904355 0.0128114576366985 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.118080744451693 0.0635252320421026 0.0381020477736703 0.0103892670985854 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0573281746161562 0.0265655712299787 0.00363966493264242 0.00233488683691545 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0892435996328959 0.0356297812664567 0.00429084219555944 0.00517463735032164 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.134259778281885 0.053542512697133 0.0104627508027316 0.0125968492448136 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.326869134220997 0.187265560229785 0.291651845963483 0.0833727664870651 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.121754310753441 0.0604170686260406 0.0279138217007564 0.0108409852790998 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.114422393443756 0.0493110473749185 0.0119864802000275 0.00897117576877742 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.148160184961953 0.0571145375406312 0.0150278419148486 0.0136269567740796 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.516870661363091 0.3130314843651 0.749165603125662 0.212054134509471 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.194007835292667 0.0958838862361564 0.0785421579781209 0.027116139806648 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.154276370154023 0.0684358983718004 0.0284211566764123 0.0165440271085989 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.174051819492229 0.0653110021981002 0.0238977872272994 0.0172197903855704 NURBSSource NURBSSource 18 187 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.010770250043405 0.0425846981332667 0.000168630558167222 0.00263143513473457 NURBSSource NURBSSource 18 187 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.017285423427897 0.0584216314552639 0.000698847692360582 0.0161007479660651 NURBSSource NURBSSource 18 187 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0331652619336693 0.113270350678956 0.00256053385621419 0.0652280064609921 NURBSSource NURBSSource 18 187 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0492154554111264 0.166078122419864 0.00539294653698912 0.139937551284637 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0113425847068764 0.0429095014399827 0.000194733005650958 0.00277041208667559 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0173230167223122 0.0584761256332147 0.000701832323304902 0.016157599969489 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0331436686621161 0.113320263325429 0.00256235573297187 0.0652013018361927 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492149528576101 0.166181857637576 0.00539431087715639 0.13984790202897 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0127627374910441 0.0440115420413749 0.000271027663281976 0.0030259146638025 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0174918131103133 0.0586962300819306 0.000711915623961472 0.0162404787239731 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0331392706595457 0.113404927671219 0.00256681603032263 0.0651930177949483 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492212538082851 0.16628919660549 0.00539694076371388 0.13977164049867 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0176028241396897 0.0479864252902582 0.000601420666488609 0.00388024827743484 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0181158830303618 0.0595347300631364 0.000756561406539224 0.0165102006967996 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0332107984213386 0.113652546036655 0.00258453336411692 0.0652145712400277 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492595336628758 0.166530203313655 0.00540589130456155 0.139652338354836 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.043475869921485 0.0828461674324101 0.00444941398488324 0.0144574544489257 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0232055479110455 0.0675790865710783 0.00123409694180181 0.0188009112130102 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0342683437440445 0.115850215029256 0.002765946838423 0.0659049727536231 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0496431974655052 0.1677779547975 0.00549039992001407 0.139526589762142 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0707793213577347 0.127101376584021 0.0125691247613723 0.0367556958672513 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.030951941996793 0.0788186391455896 0.00225158243826786 0.0226565447106527 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0359696023550493 0.118921122536342 0.00308685185689603 0.0669747526650433 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0502534173155431 0.169250004914447 0.00561959715304223 0.139574179359643 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0168589356867499 0.0466245924031753 0.000560939864008139 0.00350102929545524 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.018012325127717 0.059407680807178 0.000748145241932185 0.0163652588920089 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.033190236491622 0.113156189026623 0.00257178082505381 0.0649832996367869 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492186777495183 0.165839534235048 0.00539707506350724 0.139769921688786 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0288097606445825 0.0592180795536682 0.0018462200883122 0.00621033614957647 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0197464648571015 0.0621926441528399 0.000896516389334298 0.0170153760317777 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0335026129935855 0.113313426729298 0.00261562922668704 0.0649045978104004 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0493076444257529 0.165630959441738 0.00541642484363737 0.139694764573883 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0548254778228278 0.0933780536363683 0.00727442559017583 0.0175812023953892 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.025374995703068 0.0703527374533274 0.00149952247218015 0.0192657970982262 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.034615470086449 0.114173242736531 0.00278813379426253 0.0651551183514477 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0496540248690037 0.165406199123035 0.00549684489542938 0.139893941945267 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.162168005905038 0.244433133592108 0.0703603562648997 0.138562779720488 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0575935048433698 0.116737867797374 0.0082360247947939 0.0404273666952323 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0436523200490973 0.123374558192421 0.00454203675978333 0.0711164903162145 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0529048194714744 0.166937763475374 0.0063449095065996 0.144359238451901 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.273507418974215 0.383537459866636 0.212338560064637 0.352148143752726 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0903320482198016 0.165052661793509 0.0212911668807202 0.0794779286908162 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0567464356026069 0.142433775920262 0.00799203324077002 0.0871159834246868 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0583480308830887 0.175537576550178 0.00792154577997736 0.158455271668412 NURBSSource NURBSSource 18 188 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.00971637858725035 0.0393240704062193 0.000189928909081409 0.00202503134780202 NURBSSource NURBSSource 18 188 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0121233308544978 0.065715325374464 0.00038385566039745 0.0119010292111577 NURBSSource NURBSSource 18 188 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.021679254559027 0.120031668292124 0.00118314495107302 0.0461367839419104 NURBSSource NURBSSource 18 188 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0273807960604815 0.165377324839874 0.00163337102731975 0.0959371414396963 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0107038771451088 0.0399798975596167 0.000238505848579635 0.00212979138971644 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0122364262089095 0.0656780081635886 0.000392009476239902 0.0118342422598742 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0217349178318096 0.119093814711481 0.00119116646565425 0.0450365778227435 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0274441697912545 0.163995581386525 0.00164117246718502 0.093544711138342 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0130986172976493 0.0415239855130583 0.000382327623768825 0.00237238156351083 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0126094968049639 0.066031449116921 0.000412081526540765 0.0119607897110621 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0218184551865409 0.118947571902042 0.00120165686473742 0.0448525598619863 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.027535027248206 0.163773942493419 0.00165399351751935 0.0931167407995276 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0201998479639818 0.0471059430847354 0.000985577402443507 0.00331196083386887 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0138490266752901 0.0670587277801792 0.000485659158983332 0.0122818269409473 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0221210920000854 0.118716072046761 0.00123338235009458 0.0445363709432136 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0276064715717415 0.163369500922247 0.00167015839517604 0.092297243634284 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0547430192895335 0.0866317937471175 0.00780675799113859 0.0143838250824546 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0218406117756409 0.0739414957276964 0.0012024647270263 0.0145509095638048 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0243865244692929 0.118845154574278 0.00148522835373609 0.0438189835044031 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0285946074541522 0.161948754985577 0.00180329238454549 0.0893919859076416 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0902384828717479 0.133653374068147 0.0217543228881174 0.03772442242574 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0321380976094193 0.0843181895415374 0.00264577791174313 0.0185784179584104 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.027870821005761 0.119806376137701 0.00194326610398616 0.0438495972398183 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0300695988009604 0.161124505702181 0.00201250587126574 0.0871725705113388 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.01726955959148 0.0457023518071549 0.000696725430667295 0.00297609045741474 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0131015057926155 0.065847718179391 0.00043654377449839 0.0117732642777781 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0220027097226803 0.118694598798681 0.00117175366171041 0.0443712103334253 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0272571570352365 0.16335729260986 0.00159888357498115 0.0924655787896904 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0299739888968871 0.0590089543487034 0.00224320588919253 0.00591972188383726 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0154866996548678 0.0674474866659138 0.000601903016021937 0.0120699416648155 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0225218889243782 0.118373390563063 0.00119016995286347 0.0436693977024651 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0272603473591672 0.162577657519379 0.001584054915378 0.0910676461825599 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0574318038647427 0.0945011510561091 0.00871394611189799 0.0188796364716921 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0228324465967574 0.0730146998261788 0.00130861014341508 0.0134649019434527 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0241232799868669 0.118085895583237 0.001324595614565 0.0425336761078376 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0275182406363834 0.161042194699425 0.00158279464673196 0.0884149813083243 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.17120086883758 0.255082199091323 0.0830770691954337 0.162295311665025 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0597034913560648 0.107105823974966 0.00902162177232591 0.0283633939512698 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0368784573929622 0.123422929389118 0.00312442790784508 0.0417126087055447 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0326140871548121 0.158958331024534 0.00209669989277992 0.0810586763929764 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.289100286010928 0.409888832866006 0.249049198916527 0.415945540839517 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0980573724872476 0.153607034449087 0.0240880329661024 0.0632353387218554 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0547019432213074 0.134357856777821 0.00704615589810373 0.0481737710008546 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0414089266651949 0.162680068211996 0.00329488023647741 0.0817128241110238 NURBSSource NURBSSource 18 189 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.062140169571682 0.0445812642401781 0.00274191420406204 0.00164179780492677 NURBSSource NURBSSource 18 189 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0271004207655965 0.041405224513965 0.000548803311724589 0.0022171481423736 NURBSSource NURBSSource 18 189 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0356175785952956 0.0800211505902372 0.00117007827881152 0.0139129746717378 NURBSSource NURBSSource 18 189 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0616139045164879 0.127722339730514 0.00425302407736963 0.0400228879388294 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0622205609676087 0.0447197628939812 0.00282303552223148 0.00168531513146931 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0272212635993894 0.0414750450217731 0.000557047350486824 0.00222311607463698 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0355755561711025 0.0800727177947346 0.00117016406346296 0.0139122174062651 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0615403186956151 0.127728593611934 0.00424456957805196 0.0400152498221902 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0630656782448307 0.0450752940655455 0.00310685521095875 0.00176837016977515 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0275326919773313 0.0416404108911629 0.000582681733897936 0.00223894182846241 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0355989409244951 0.0801485138582027 0.00117722316506022 0.0139190791630607 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0614949692460153 0.127743553514936 0.00423922942658326 0.0400136191139653 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0675899000896797 0.0470585005932682 0.00432949355752623 0.00219713488648787 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0288548223915749 0.0420620026785728 0.000709429252356117 0.00228867678448621 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0359137752261871 0.0803450716562961 0.00121662894136545 0.0139480091763248 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.061524812304485 0.127784088027168 0.00425358418668821 0.0400304205077586 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.106899605978015 0.0664705896674994 0.0191775869319477 0.00660143551212898 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.040128441843965 0.0452282780852299 0.00217742210590695 0.00277833818428602 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.039183842768003 0.0815513630959635 0.00167940598446246 0.0142485265345851 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0618963462721668 0.128051807528974 0.004375046842179 0.04028919494259 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.159999601646829 0.0962401700436293 0.0528273903225631 0.0161875721928315 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0560296143176278 0.0504254792100503 0.00546404234184093 0.00376189736766047 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0450364716491703 0.0830827629909699 0.00264168993627459 0.0148356729187005 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0631178211515089 0.128529918437042 0.00470634559278201 0.0408888853954432 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0659933361753947 0.0460980114121945 0.00398573743596334 0.00196271723242026 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0285290834169883 0.0419171632008225 0.000683253240962768 0.0022837348617969 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0357263244874162 0.0803373199266693 0.00123805129293656 0.0141592975467627 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0614525752049204 0.128148687232459 0.00432521736220855 0.0406448786001364 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.077818415807751 0.0508750070711917 0.00778053287965567 0.00289120438075123 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0322630996924261 0.0429603639423866 0.00109726997270145 0.00244747890113566 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0365194163313274 0.0805947406075297 0.00137059630912043 0.0143474686458859 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.061634071302779 0.128236597864827 0.00440241656804131 0.0409346266543324 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.116411702696113 0.0686221636460542 0.0246873968250763 0.00681555265958903 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0440305129352694 0.0459542236206182 0.00290018874960299 0.00300185023579829 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0393541598365772 0.0812461284124709 0.001849820362316 0.0148566597243752 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0620700884648667 0.128465888377266 0.00461393242656001 0.0416647558326501 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.295226001827961 0.174778182359435 0.226476440003664 0.0557714767024761 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.10328433471503 0.0676835933367763 0.0239687930449085 0.00890178735332311 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0627508889967989 0.0860943915667228 0.00726058437191388 0.0187890353178726 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0688759494874021 0.129835214405112 0.00679985016734864 0.0465759153142859 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.464432794467599 0.29791012069066 0.613186211792265 0.164743849763373 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.161813811263405 0.0986701451707255 0.0645914364228493 0.0217094120402461 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0929581525686651 0.0952381681208195 0.0183174624164924 0.0266322941250044 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0804675682899526 0.133315526847893 0.0107298345776487 0.0558092600826001 NURBSSource NURBSSource 19 190 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0472202999847873 0.015265821039856 0.00756818480322787 0.000785118887605907 NURBSSource NURBSSource 19 190 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0700832010604417 0.0156399747413244 0.0215979729449475 0.00121880916056398 NURBSSource NURBSSource 19 190 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.138598496830181 0.0335937544856827 0.0714154977043339 0.00584788289993709 NURBSSource NURBSSource 19 190 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.205168079538221 0.0608733323568389 0.135731688796166 0.0179206293876113 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0473081860431447 0.0166650987832701 0.00764620408546961 0.000901724543191919 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0701911386018707 0.0157376808077795 0.0216124373386967 0.00122818291625977 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.138637356645585 0.033681166566929 0.0714382920007891 0.00588316475207062 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.205176995528337 0.0609205999102639 0.135791896585612 0.0179780011140331 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0485254756903783 0.0208291392443412 0.00807513990335051 0.00132017692512943 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0706101531454726 0.0163185324689621 0.0216919418871354 0.00128407655983603 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.138683459949717 0.0338848403011398 0.0714691579641288 0.00594826754654725 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.205188818453284 0.0610671304080279 0.135852861313176 0.018088517896476 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0548220361762191 0.0323159465843108 0.0101632780540684 0.00296128236264109 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0721130155978181 0.0185092584933668 0.0220130194782583 0.00151500687030454 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.138813925572624 0.0344993437547385 0.0715441692682076 0.00610142285310256 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.205224497158575 0.0614143506230773 0.135981724289748 0.0183289950334966 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.105903008430479 0.0865531356135179 0.0343365678832598 0.0195414276637434 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.082353855885977 0.0323789301475487 0.0249277187640029 0.00361784314380463 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.140796594330616 0.0390574376704378 0.0725035801851647 0.0071124577252748 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.206050617727248 0.0631653709615118 0.136926297736575 0.019289039686966 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.167387692339927 0.141845716928645 0.0829381636827981 0.0501189221797887 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0968389504956993 0.0491861976078501 0.0304638222081684 0.00754350789135857 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.144510620271582 0.0458533508807414 0.0742851782151517 0.00894321543882195 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.207136431526975 0.0664441081041286 0.138044107648283 0.0210492272858793 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.052057092405251 0.0268940115327801 0.00912001927152663 0.00212130158971629 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0717029001683623 0.0173995986523932 0.0219234805410832 0.00137415805483783 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.138463346107894 0.0337711039222625 0.0714376635687545 0.00586848765429601 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.204833195238823 0.060815093279874 0.135693450505194 0.0178741460919432 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.066555510375044 0.0463774077913023 0.0143093359230554 0.00586885297217964 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0749664306770292 0.0221766298886103 0.0227400265892332 0.0019113761475913 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.138572775853531 0.0348255883650621 0.0715919227564989 0.00604687746919033 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.204593142302597 0.0610011543349877 0.135712460044416 0.0178935709838897 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.106681711542446 0.0884518123647046 0.0350021950369055 0.0197816914967161 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0845597610983527 0.0350936802471015 0.0256951382940738 0.00394470303128719 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.140220392911843 0.038558642382153 0.0724384237845559 0.00674616727797415 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.204519389229078 0.0615287459593697 0.136071515528975 0.0178679189239883 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.28638938899302 0.262317250165544 0.254607584578649 0.148083692154898 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.137136712334605 0.0937426546881779 0.0523600194585142 0.0225640742558358 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.154303106188571 0.0629598637459953 0.0803780991527436 0.0136639415289293 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.205996496997618 0.0702323640401746 0.138877889965689 0.0210140999707171 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.456849400468491 0.436515914791163 0.685892193748907 0.364623164261264 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.195737979103685 0.151757791575388 0.0989202800226203 0.0539504104722249 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.175096712557316 0.0916313164866625 0.0936133073497639 0.0253638570227257 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.211578550120303 0.0832225443102021 0.142603501484309 0.0263839180202741 NURBSSource NURBSSource 19 191 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0203686529935775 0.0212035989930079 0.000602536314092775 0.00051608126596171 NURBSSource NURBSSource 19 191 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0616452328518009 0.0225422945758211 0.00165223233443763 0.000484454294272368 NURBSSource NURBSSource 19 191 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.123386157330764 0.0403588352356589 0.00575558544227074 0.0011719538046228 NURBSSource NURBSSource 19 191 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.168458658621828 0.0517753002064439 0.0112511077279231 0.00129861362916782 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0212659142491496 0.021875449231105 0.000712577172189191 0.000567647690735785 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0614451719745497 0.0227029572562023 0.00165171558268365 0.000493917450948243 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.123440214066613 0.0404130032537824 0.0057703780645577 0.00115626301717398 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.168393809548963 0.0519064838863068 0.0112666503051916 0.00127418658800671 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0246577867095813 0.0238095756475191 0.00109683136243469 0.000730976013664158 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0613345163870837 0.0230991938251766 0.00167835893705387 0.000515018883723045 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.123494965526763 0.0404711016575862 0.00579322583022302 0.00114549441920862 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.168353824544213 0.0520470692812441 0.0112894162721614 0.00125188044804481 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0365537249594263 0.0301132420204373 0.0028105895011017 0.00140373461522019 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0611930565273021 0.024209800203111 0.00179475010419689 0.00059018786170964 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.123655926446402 0.0406676429758542 0.00586943068587473 0.00114260833451738 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.168296811054725 0.0523290258395921 0.0113527828732365 0.00121598976770174 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0952194493545409 0.0671776282911443 0.0230297079760543 0.00919770344486438 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0650915438930898 0.0321325080683764 0.00323748269160963 0.00141400651402839 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.124569988925446 0.0424715938420726 0.00652326330803695 0.0013582532050439 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.168810006044481 0.0536496725145043 0.0118782011532066 0.00118906578289379 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.154916654436242 0.107911340285848 0.0640541704579159 0.024613487290337 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0757003359767466 0.0427596754553522 0.00631789989304657 0.00314860821347976 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.126249313940272 0.0454826447144434 0.00776293235930747 0.00196391187885325 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.169982187713623 0.0551871866233491 0.0128863517491913 0.00135846714993021 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.031407591249937 0.0274561784879401 0.00202900689103486 0.00113927831997488 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0617327367771983 0.0235615079070441 0.00170885480873644 0.000529064946571275 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.121932601155221 0.0390803104101652 0.00574074446111708 0.00115012984617411 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.165743918658224 0.0493419066312615 0.0111937903994719 0.00130473504437172 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0534919450876182 0.0401988149994988 0.00676765132559268 0.00303472770939132 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0621182695418083 0.0257169423265682 0.00198827971084476 0.000689480588361429 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.120578223614662 0.0383317025896439 0.00579563155108984 0.00118511530495964 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.16347646834073 0.047140039580488 0.0111513734785771 0.00135273064755666 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.103575172131464 0.0719925703611388 0.0270712414796545 0.0110027790776292 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0674481964459874 0.0323153592553152 0.00334964272015569 0.00144435287397394 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.118014584362918 0.0381675238558164 0.00607478334737759 0.00143609488973359 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.158855971250539 0.044666421565196 0.0111291482708523 0.00158999446381024 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.300131105365774 0.2115930142029 0.253216671984362 0.0975358651968211 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.115350088250166 0.0698746346934537 0.0200128950877537 0.0104041015792392 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.116677458032987 0.052040583338348 0.00981467372185867 0.00559972507648799 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.146116773609909 0.0448324599395512 0.0117670046226268 0.00465103741199738 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.471845968963679 0.362131998072607 0.695651016638791 0.27191965495655 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.17230385880552 0.113432335663219 0.0554028902821806 0.0319016415786218 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.132503926857492 0.0745363911224495 0.0182703589648975 0.0159774258347363 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.144123840131027 0.0595835570421444 0.0136350005389661 0.0128748577235645 NURBSSource NURBSSource 19 192 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.026103188307806 0.0568846186243133 0.00174005956010442 0.00459654093504259 NURBSSource NURBSSource 19 192 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0658497802164447 0.0899364047406686 0.0150626012209305 0.0243323433346421 NURBSSource NURBSSource 19 192 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.119622618403668 0.136274915642939 0.04152915094345 0.0438522640802305 NURBSSource NURBSSource 19 192 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.171938999570041 0.152262598593596 0.0654570242513015 0.0606197626559366 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.026583511841309 0.0568881267634194 0.00180602912554702 0.0046303983213462 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0658930198839759 0.090001918762514 0.0150829416449444 0.0244151533705066 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.119594067758556 0.136175366996259 0.041512181121836 0.0438342637104542 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.171951972578543 0.152086973325584 0.0654322800530219 0.0604926414491304 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0280270533898507 0.0571314746704432 0.00194571143336467 0.00476096525351431 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0660873604604021 0.0900990851233711 0.0151089136108468 0.024502307620048 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.119601563293757 0.136094251453349 0.0415007663066354 0.0438244144376574 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.17195833275031 0.151912275446104 0.0653986798821306 0.0603741120225934 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0327908562644785 0.059522181185556 0.0024751775268416 0.00554349488539913 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0666766668514391 0.0906670567883634 0.0151920998888422 0.0247753900571273 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.119661225287881 0.135998033452468 0.0414631463059596 0.0438348963599308 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.171977798278449 0.151549919585197 0.0653287484502901 0.0601591155314518 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0601862349520133 0.0922117763347931 0.00819819226998545 0.016264414390212 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.070841835046295 0.0967609642227538 0.0157591366568001 0.0265216498443977 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.120375885234802 0.136146823052719 0.0413287215953939 0.0440915643039157 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.17211992515848 0.15028918782294 0.0650413001842751 0.05949751498902 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0913129996641338 0.138094153897366 0.0201916600052187 0.0400986534355108 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0768528227945406 0.106918492013316 0.0168202713660498 0.0295187703320443 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.121929041469186 0.136700734595805 0.0411788985857329 0.044666890067658 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.172432489206719 0.14933379807877 0.0646724219075806 0.0591945679394258 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0311182930965424 0.0597155817127493 0.00216733484243786 0.00542363257089683 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0664405612812326 0.0903291643806717 0.0151030056625073 0.024453557131315 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.119509296809003 0.135965738462553 0.0414189592912547 0.0436223273036044 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.171598143521478 0.151970348593056 0.0649995167365383 0.0608051895244106 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0416999675680941 0.0686497645905321 0.00366562719886612 0.0079183030051642 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0676647953958509 0.0915357759705474 0.0152164669727771 0.0247155944591823 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.119675828212303 0.135686245327921 0.0413137703178843 0.0434496274513979 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.171312340297109 0.151673110645184 0.064526876605589 0.0610419265916851 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0675601779487531 0.0975061681029164 0.0102320044388341 0.0181874311989658 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0713044347381428 0.0961705599253041 0.015674702780131 0.0257972091290434 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.120249174493074 0.13513453659104 0.0409755119985351 0.0432237389994888 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.170777124277638 0.151012071290093 0.0634684617006914 0.0615621227995376 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.183981557795627 0.242789391165267 0.090538360956718 0.129795484842078 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0947989718554819 0.12681471682158 0.0211553938254133 0.0382964858490864 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.124435840300184 0.136313427432857 0.0398123163994406 0.0456262092495189 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.169514535960496 0.153308750976475 0.0590939868472947 0.0678068458019606 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.299251970942084 0.387495243229328 0.261474347998127 0.328139651927968 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.12329773869586 0.160081988094266 0.0337176963482339 0.0619061871498094 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.129598106652842 0.141659491359504 0.0388743363699836 0.0532168090946029 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.167486028766585 0.162275184689425 0.053776097833167 0.0805053623357744 NURBSSource NURBSSource 19 193 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0120876019101666 0.00730959722635959 0.000337890766781769 0.000173893308139378 NURBSSource NURBSSource 19 193 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0190743774636131 0.0128971417407309 0.000281421155925135 0.00072435893869968 NURBSSource NURBSSource 19 193 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0398280646186397 0.0228808083533875 0.00112694359098251 0.00235561235737634 NURBSSource NURBSSource 19 193 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0674503278778987 0.0328716806973783 0.00394954312304723 0.00469222595059685 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0134804403682799 0.00834050820343119 0.000421220493422629 0.00020165167112811 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0191640337113121 0.0129639042748465 0.000288608962553476 0.000727260668823404 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0398060717435636 0.0228239567816937 0.00112056807731467 0.00234187537495076 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0674674937539906 0.0328281613383641 0.00395488404641005 0.00467732127915033 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0167287186203163 0.0102557709492913 0.000657603007459661 0.000276465122074924 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0193805571174593 0.0131769506652591 0.000307159672234159 0.000738649143186863 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0398147726490326 0.0228015762001398 0.00111922453622018 0.00233243485230421 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.067435716521138 0.0327697198374267 0.00393854060980311 0.00465889586811161 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0255929983038665 0.0150428185121265 0.00159710194948629 0.000564232823555088 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0202031830270013 0.0139502990177912 0.000380797189157684 0.000784270050538908 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0399850496027234 0.0228181676616442 0.00112775038567959 0.00231716873345772 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0674347031097668 0.0326911953420842 0.00391981445951729 0.00462901323854148 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0680991353488367 0.0385046632673125 0.0119726612261524 0.00359504202833342 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0287999840860126 0.0196187009491995 0.00124713546307659 0.00122918500663849 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0418847347610709 0.0240084468087283 0.0013211275229339 0.00237588677303465 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0677632302434265 0.0326190840410437 0.00388962898790789 0.00454500558390071 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.112050225115334 0.0640301917664437 0.0333220552245185 0.00960090576001961 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0416824159906783 0.0266798487287743 0.0031877498670845 0.00203617961171439 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0453555096349092 0.0263312237496197 0.00176762922221939 0.00258486231442415 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0687168901143773 0.0329962801963411 0.0039740115969762 0.00453532559476968 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0222758675065146 0.0128438586084413 0.00118406737140681 0.000439460548652968 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0201335079535481 0.0134906497954953 0.000361389455794848 0.000758741078438209 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0401015261474984 0.0231443014277545 0.00115869675433817 0.00241932754125441 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0680423557081128 0.0331809180008893 0.00401961824767689 0.00478355101647929 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0388833093883158 0.0214147433239892 0.00374114983834404 0.00117473483762701 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0229067768126587 0.0150120387336215 0.00059667859599042 0.000863321452528423 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0407378747855998 0.0236765442267512 0.00122904856580123 0.00251026433456881 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0687814031290475 0.0335520358863653 0.00411443585171357 0.00488647465970348 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.074733181567848 0.040081376290205 0.0142663858423873 0.00397035775390368 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0320552144418578 0.0196523445142862 0.00160715625418998 0.0012647025071239 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0425465170311995 0.0252832881851272 0.0014792139271522 0.00276087398256745 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0702851692832561 0.0344344832432008 0.00431801301240436 0.00512193065280306 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.211554885308809 0.120498323708948 0.125586541560683 0.0315157008921653 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0779248852156989 0.043657570007408 0.0134132667710221 0.00504069097286631 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0585543861858095 0.0350529111437423 0.00423647643800114 0.00447288965543546 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0803480114035456 0.0394015857665269 0.00613686562563307 0.00637284151545965 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.332334952515558 0.210643405915474 0.337027163108259 0.0832234485089802 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.125219110741053 0.069535799058194 0.0369657102316897 0.0117142537270627 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0801804553448848 0.0456819430511365 0.00967616553628753 0.00684455307176991 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0939972706562981 0.0455328457186854 0.00911425191205156 0.00803526802330138 NURBSSource NURBSSource 19 194 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0133637788122646 0.0114790288058717 0.000611898191886846 0.000470610119913419 NURBSSource NURBSSource 19 194 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0162860736330379 0.0177148904688934 0.000601101801583981 0.00106274511328938 NURBSSource NURBSSource 19 194 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0355153470270102 0.0298757004524333 0.00256637170817449 0.0031177048629428 NURBSSource NURBSSource 19 194 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0627465080437222 0.0431340476868792 0.00793824007810802 0.00525939892369896 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0149198395563478 0.0122476114173416 0.000733486979075866 0.000496786467630442 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0163600922900833 0.0177903883181683 0.000607319351137666 0.00107206687740207 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0353761316358619 0.0298001092001807 0.0025495137407724 0.00309829754282368 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0625971895232124 0.043062893003694 0.00790399588967514 0.00524406686511274 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.019052150625277 0.0140433582398366 0.00112800409675637 0.00058401778971494 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0167806728682578 0.0179558947438081 0.000637147999477214 0.00108292871032732 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0352517290537567 0.0297263452608583 0.00253466757306388 0.00307525781308072 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.062384070507725 0.0429681083584681 0.00786134159645881 0.00522922589903155 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.030199264259297 0.0191316161021034 0.00266305633014659 0.000941115672216656 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0186615411971641 0.0187688335542371 0.000767177711784058 0.001131211904651 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0351939896485107 0.02976658146222 0.0025247242383475 0.00304669650793083 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0621473070266946 0.0428278086661349 0.00780544539498996 0.00520329123597445 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0818671785381506 0.0450359654061894 0.0185299261494295 0.0048669799552339 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0315117819862545 0.0252167366669497 0.00220652584164528 0.00162649456453842 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0368818267190098 0.0309485283210731 0.0027182253089717 0.00299896698502442 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0617084945299403 0.0429536886994865 0.00771195645382613 0.00530740830043982 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.134351020653341 0.0741374417974361 0.049784363409723 0.0129073147244169 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0467127563217704 0.0330930729104266 0.00513902053648184 0.00247663275734106 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0409190972929027 0.0329827259851487 0.00327831811811308 0.00305398784148912 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0618846510807893 0.0432130852651293 0.00773440483232427 0.0052880945684253 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0246328166284552 0.0173624552501015 0.00183121781688956 0.000776623074760473 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0178206380100541 0.0184224328592267 0.000709054758270218 0.0010635852397646 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0351988942102636 0.0300746999797616 0.00250805600054594 0.00311834910428095 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0625614288741643 0.0432437589970189 0.0077785762986332 0.00525487360528754 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0431956763104127 0.0265860132898061 0.00534898286980747 0.00166699326808583 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0222476225587488 0.0202862456726616 0.00105582987885919 0.00113304720434329 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0354036813560228 0.0306335121355042 0.00251610494587892 0.00313442866723086 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0625894255058246 0.0435024043789944 0.00766260613576092 0.00525914904389134 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0833328517180556 0.0470592419098292 0.019251011683268 0.00516318193495363 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0335794635388355 0.0251420261642056 0.00245455490646499 0.00146461837041606 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0373759416328072 0.032436440053846 0.0027273250763944 0.00322541139424022 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0629619703571859 0.0441946663059623 0.00751429606429301 0.00529091945922137 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.234972279685805 0.141059859657597 0.161618724369454 0.0427029831208354 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0841799519592994 0.0505612963726884 0.0170005734272016 0.00547960735734504 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0583914541808949 0.0427948946893669 0.00616078857108302 0.00411381771247575 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0702637942377484 0.0485071704632307 0.00814547502635779 0.00563959408985427 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.374688137929459 0.246405174113134 0.443075085901373 0.118274797821999 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.133394108946957 0.0798745946438053 0.0445768993409879 0.0139170999924878 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0847042639535621 0.0566266469834846 0.0133800507515604 0.00638148370784243 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.086411514272253 0.0547413210748971 0.0110596289168288 0.00641763898182895 NURBSSource NURBSSource 19 195 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0208722330408405 0.00704482962248228 0.00152419154570332 0.000181280800059593 NURBSSource NURBSSource 19 195 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0412443676557776 0.00587023393558012 0.00228234698167266 0.000106100829314804 NURBSSource NURBSSource 19 195 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0811107027658069 0.00958418790740523 0.0076996348988238 0.000331303476764081 NURBSSource NURBSSource 19 195 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.116682228624091 0.0149635949616433 0.015207641515871 0.000909006509951703 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0217691304227501 0.00784700126604582 0.00165035088683741 0.000213023917772171 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0412376517722272 0.00602437963624754 0.00229520862038245 0.000111098294187986 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0811714579868902 0.0096361102800342 0.00773673690621088 0.000335779743030572 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.116866151080316 0.0150591343829162 0.0153334049413271 0.000918199432562198 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0247558855006851 0.00974221080177523 0.00205790072699999 0.000299650744138637 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0414355343150786 0.00633480500686606 0.00233176436684763 0.000122082280952658 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0813099357925225 0.00969119349522048 0.00777058847382952 0.000337895646314415 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.116992147215276 0.0151296365910305 0.0153692304986948 0.000922387573022331 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0338253423130413 0.014694019390803 0.00359070349560945 0.000616907457551943 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0423351292393966 0.00745089863986561 0.00247535343174307 0.000164154110486484 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0816420618648775 0.00999193310060211 0.00784967617816293 0.000353472150567179 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.117272720176124 0.0153283652981276 0.0154435467708449 0.000935014423814698 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0825829040116439 0.037672516946441 0.0192273908619888 0.0036521346100448 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0507614805482896 0.014283420760971 0.0040268105851731 0.000571587366822111 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0839040500639434 0.0124652357989471 0.00843407838924296 0.000510340731651937 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.118612893005428 0.0166179085670101 0.0158512175294528 0.00103329199735047 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.133895612971832 0.0621353113871176 0.0493209608223401 0.00946306274849236 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0636998175141695 0.0222569731547063 0.00720471905791944 0.00134614554965036 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0873375938961954 0.0162337089828021 0.00941539257026333 0.000816757256056763 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.12058425082937 0.0184821797647532 0.0164132299161183 0.00120978486957559 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.02996917553236 0.0123814158007625 0.00282442404509605 0.000468728039938735 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0422515949626508 0.00696551231937652 0.00244295883688188 0.000143784471795257 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0808396012074202 0.009676151517256 0.00765130731525139 0.000343565103394596 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.116361474243456 0.0150118774983511 0.0151111593505351 0.000919947776051007 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0473030899248981 0.0214560886522528 0.00655666210267228 0.00129018051058661 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0446181073472711 0.00947876146091045 0.00284576783626615 0.000255618028196721 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0808477056001674 0.0103331687044923 0.00766525573857282 0.000384173618108917 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.116136296105676 0.0152567832422663 0.0150458894908413 0.0009450954179404 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0860928936598773 0.0413686227653012 0.0209344524366051 0.00445459922766466 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0522298591040966 0.0159325718940529 0.00440852360805448 0.000689153533252687 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0815872490310335 0.0126872487214031 0.00788722862331366 0.000538581955331897 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.115938720287642 0.0161977068437516 0.0150031448771241 0.00103123073866031 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.244419568350055 0.126111121639596 0.164370565507776 0.0363241009879897 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.101683994132605 0.0441357106777118 0.0215297396876543 0.00495823230628572 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0932307622171144 0.0266866688528093 0.0115066893250911 0.002021061352446 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.118353365106604 0.0237258646575869 0.0159028236786123 0.00182153578360161 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.391462654494135 0.219934687642361 0.437474105141555 0.0996194635981261 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.156994509307476 0.0720181899723128 0.0543214504437693 0.0129128367281825 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.113449034227827 0.0418033521726613 0.0189753401718014 0.00469676962327675 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.126534887392563 0.0329506825800683 0.0184962105157608 0.0031369510367021 NURBSSource NURBSSource 19 196 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0394819285212191 0.0193203747149218 0.0044084897521439 0.000858907882898669 NURBSSource NURBSSource 19 196 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0306957829192164 0.0125767401188937 0.000594611545874986 0.000537846261393533 NURBSSource NURBSSource 19 196 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0654058423437949 0.0226791417684116 0.00200044990772159 0.00196081223460742 NURBSSource NURBSSource 19 196 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.103258333908255 0.0364487982149947 0.00604352308204897 0.00540695767319216 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0401028723153246 0.0201919294884835 0.00457400229699807 0.000957539455507536 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.030842809625799 0.0128265420316059 0.00061182754351351 0.000552259923671524 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0655256967612638 0.0226688872806021 0.00202333441808521 0.00194698281605935 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.103509214920123 0.036239148330383 0.0060939927362383 0.00531455709543201 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0419861014714365 0.0230018402720472 0.00504372636978966 0.001224775640184 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311263849507511 0.0133520251760355 0.000655959902878154 0.000589414724587248 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0656824967633097 0.0227250158344309 0.00205473494424236 0.00194336764552095 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.103776583723585 0.0360435595697482 0.00614881857219322 0.00522748299195163 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0499831589172037 0.0317992586442275 0.00714115074902039 0.0023611414909927 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0324905321519164 0.0153666775863993 0.000826314960916511 0.000741251113849864 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0660930247992016 0.0230735371708579 0.00214182049390514 0.00196779367902427 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.104319541579952 0.0357187679840759 0.00627313704825663 0.00507442543511139 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.104451239572106 0.0780668541310438 0.0300645566811663 0.0146420789236452 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0465760590212132 0.0289872028646803 0.00278546315457613 0.00232631313945537 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0690827106424423 0.0279734349533842 0.00281867255572681 0.00255642246656934 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.10693638712965 0.0353718514902608 0.00695745123092287 0.00472148810515234 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.166052448192207 0.127453304857079 0.0758295897257745 0.0389988168674288 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0657830668273124 0.0449775076728302 0.00710006715430189 0.00540722848663974 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0744061248696856 0.0353577166278112 0.00404938173278049 0.00377709950009408 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.110373124288375 0.0364024733816193 0.00796942678216977 0.00475035985224325 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0476933388156658 0.027867676810984 0.0065079676794905 0.0018482052456314 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0317196592163155 0.01465119764272 0.000738918496661905 0.000693410675298149 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0659525771180709 0.0227403433267184 0.00207211721643358 0.00194158124976143 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.103988610780039 0.0362309582249829 0.00610887158236332 0.00525820048921339 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0679716445273277 0.0442551156429872 0.0129044287167939 0.00477066659212441 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0343996311954084 0.0191131870388757 0.00114636217019669 0.00111221353543696 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0666824311182618 0.0236993461956385 0.0022232760078018 0.00203602847643307 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.104870861366177 0.0362142752012179 0.00621584938864555 0.00516369611731142 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.117723016667544 0.0821516807360687 0.0379576332009078 0.0165484569766849 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0454645357550439 0.0307143068099914 0.00291514961122697 0.00272212552062205 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0694089678387035 0.0272428229956545 0.00275470668734398 0.00249286019128527 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.107157742476924 0.0367550510874437 0.0065589201052358 0.00512110073051558 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.328463147300901 0.237509387594344 0.299295706576309 0.130421066137162 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.109451649874999 0.0830456792880351 0.0252868113715103 0.0189869435135035 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0927748396804217 0.0502674323535237 0.00824462061983614 0.00741451112416201 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.122320184262054 0.0448788481544706 0.00965206238866632 0.00665710291729302 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.526520821995849 0.389554784503498 0.803043627192864 0.324372339623344 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.177593252291841 0.135846173958734 0.0718509260570844 0.0501431393176985 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.127348914771035 0.0765951471815233 0.0197794073086036 0.0168941065162239 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.145906321782196 0.0576186818398688 0.0156251176048091 0.010293876594648 NURBSSource NURBSSource 19 197 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0152575629801856 0.0305676706936324 0.000111348288481472 0.000687183338278058 NURBSSource NURBSSource 19 197 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.017607662690301 0.0420428292749758 0.000280105001811262 0.00371102970523602 NURBSSource NURBSSource 19 197 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0300249980282349 0.0779226307625583 0.00110465537605656 0.0188247700945198 NURBSSource NURBSSource 19 197 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0441003555968942 0.116514833261203 0.00273121070673317 0.0501654373852114 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0154034957651531 0.030992286307037 0.000125551063711457 0.000741695012230216 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0176541777770679 0.0421305024215907 0.00028157312566227 0.00372036100283891 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.030050240434267 0.0781556424168059 0.00110578015723876 0.0188269336531912 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.044075164364412 0.116734652972236 0.0027314500061933 0.0501167187883605 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0161387449887734 0.0332034552248531 0.0001702331411149 0.000986640020258568 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0177922104808585 0.0426047975154164 0.000287777931534674 0.00377836154683314 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0300836661425621 0.0784141062086424 0.00111010316021868 0.0188735587927484 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0440819601885941 0.116956083094575 0.00273714696553813 0.0501558748975411 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0189086763416179 0.0421449202045852 0.000361761600866435 0.00214059767180182 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0182524722433807 0.0441852031065239 0.000312986032911674 0.00397518383759216 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0301621899780857 0.0790558320885023 0.00112261813047679 0.019006669262456 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.044098623127944 0.117486280421079 0.00275082467556641 0.0502818014311674 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0389906401141494 0.0942416825882931 0.00290862807859041 0.017002827180527 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0219664372300641 0.0560636909527884 0.000596762798451806 0.00598585464106983 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0310817983054484 0.0832105774497099 0.00123795947975489 0.020134238672432 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0443284230994794 0.120584954760247 0.00284144092813988 0.0513859809188347 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0619477806763296 0.151322247302126 0.00878252459981308 0.0490013971640693 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0277707839209419 0.072950746063721 0.0012082505235073 0.0101398933632514 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0324707934405168 0.0894693744867921 0.0014453463436422 0.022149406418154 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0446836705375461 0.124491866643072 0.00298117887367082 0.0530998055725072 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0178301578414796 0.0410642782580387 0.000288517823981207 0.00196684707542241 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0180723796537365 0.0431760842406122 0.000305656759146794 0.00388365816707684 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0300511646544272 0.0786655985081334 0.00111814093191629 0.0188280790184018 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0441249416104516 0.116829186872759 0.00276003466970206 0.049516666652323 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0242816925195249 0.0606962185214058 0.00087740831087825 0.00603156075028292 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0189952148032214 0.0467878254691985 0.000368470175014458 0.00442154327018791 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0301782186791616 0.079823685362332 0.00114768376224606 0.0189522060090597 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.044188545784483 0.117324507981535 0.0027952692866607 0.0489157894155638 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0418027339036042 0.106650324026804 0.0036430146347552 0.0234052780107035 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.021639957205773 0.0580452758778166 0.000613779555010987 0.00661340142917718 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0308725397685129 0.0833054960820545 0.00126824364174918 0.019700060055658 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0445332476613505 0.118966661504638 0.00290717156396639 0.0482911230604593 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.122923448047547 0.295064452612215 0.0422558712624984 0.204300323327973 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0404533464866896 0.118003291770519 0.00359718093688921 0.0314419256590518 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0379328055119319 0.108089981687579 0.0025281897619626 0.028537428225172 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.047251985434021 0.131257521291088 0.00376584229033849 0.0503443424641113 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.217469611881479 0.458501601031631 0.151527647478064 0.483750941945954 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0631791092925999 0.180998933143425 0.0103369833187448 0.0834763006904864 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0480983415990057 0.137787895124925 0.00510709296423286 0.0461971173957391 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0509629777336478 0.149031879536687 0.00526994117308845 0.0598902451588263 NURBSSource NURBSSource 19 198 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.00610287759581808 0.0271815207002858 0.000122067589568779 0.00103290962198441 NURBSSource NURBSSource 19 198 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.00981457580909852 0.0538894426301791 0.000156706442879146 0.00696809153525813 NURBSSource NURBSSource 19 198 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0163963834192371 0.0983768124708177 0.000388415847808063 0.0277500612894667 NURBSSource NURBSSource 19 198 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0218337680271349 0.139702958683928 0.00064901022650747 0.0616248303642077 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.00708614295001247 0.0289318706688061 0.00015457055819058 0.00124559934792564 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00982256751780396 0.0537801770169856 0.000157978689722985 0.00696060944573681 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.016405081770933 0.0983158373052255 0.000392308528159382 0.0276615876358071 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0219177396975362 0.139762168476504 0.000654718836063601 0.061484199248497 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.00917036264423017 0.0337007928653539 0.000243644048506769 0.00180562623214485 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0100099739582709 0.0538892952270517 0.000165265718966299 0.00699572520139833 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0164744273682757 0.0982959368979662 0.000399411240478246 0.0275914898615854 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0220096774526329 0.139826421636311 0.000661007131322021 0.061353179273678 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0143520742112452 0.0478508263816838 0.000575431579258603 0.00410156597162628 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0107710709984152 0.0548476933348642 0.000197316955633683 0.00717552843672248 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0167468575856379 0.0983802676584365 0.000420283611706308 0.0275080643090458 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0221514064107155 0.139969857161494 0.000671166109965654 0.0611211204106469 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0380623144639312 0.116091956242154 0.00402409188868312 0.0300669624222814 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0163827290328282 0.0648413785256661 0.000555855655015805 0.00936864491265329 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0189372464520742 0.0995649326858958 0.000574296602348983 0.0273383112988632 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0233398141492064 0.140024658422763 0.000758566549488282 0.0594472338460458 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0625409998774322 0.184807588022415 0.0109859964030138 0.0814174894247532 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0239171838593751 0.0790920818185693 0.0013136382720513 0.0139754698876179 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0222449204566361 0.103104847368288 0.000849541708483036 0.0284590483218009 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0251561287632371 0.141076708979181 0.000891042099359516 0.0590647144260966 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0115189776008769 0.0395515442548023 0.000385382286493961 0.00250986852682142 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0105206470488376 0.0557494883710642 0.000187973640530539 0.00728525919233212 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0166574172974998 0.0997280786252083 0.000403069853255751 0.0283192833746239 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0221592508847305 0.14110962519148 0.000664350985280097 0.0627283662554312 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0203513965710568 0.0632325226853751 0.00115776150314124 0.00756760902143921 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0124188296116606 0.0592714121142961 0.000281064399756003 0.00796748052540061 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0172659601238626 0.101537637894983 0.000436751761865838 0.0291129704035767 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0225597185635978 0.142427514394656 0.000688118109320766 0.0638544106329844 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0393647781431996 0.117066984907548 0.00426152821698144 0.0300892858558673 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0178867338468864 0.0690961245652225 0.000658129832740599 0.0103836918900908 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0190264883847679 0.105524311595515 0.000555660572279879 0.0307313277154902 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0237422005469834 0.144639749725892 0.000760935112044006 0.0654456497636847 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.119465910335391 0.328190246493658 0.040588901880601 0.253703474898067 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0449101933505603 0.124896210442664 0.00487667720132196 0.0359356280385896 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0301014731131209 0.133162671462712 0.00172620925939638 0.0479308170577916 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0305696951740817 0.160410275990858 0.00136145149759158 0.0820110350193338 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.214822154983326 0.515462322016318 0.144190223575047 0.618028016462868 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0738638094277486 0.185451911181423 0.0137561537687543 0.0855514661720811 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0437211064755637 0.170866454697331 0.0041180847876113 0.0829162616411904 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0391653223655617 0.184253466073064 0.00259972408385263 0.113716163319722 NURBSSource NURBSSource 19 199 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0215647073128519 0.0506859108207498 0.000375135396161176 0.00347496438630057 NURBSSource NURBSSource 19 199 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0105561040861174 0.0284889030114306 5.16063868122694E-05 0.000893013678674145 NURBSSource NURBSSource 19 199 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0249585521930804 0.0537342480532536 0.00052605433300779 0.00519220966907017 NURBSSource NURBSSource 19 199 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0463121948073737 0.0889086273991295 0.00237747354130008 0.0180400011261141 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0227556230855587 0.0507229009941678 0.000449627812231555 0.00354412887336243 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0107554249241879 0.0286672159322994 6.01287629224463E-05 0.000903778826381861 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0249475133843805 0.0537472281918541 0.000527170846789977 0.00518888482046654 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0462505289701169 0.0888348342314366 0.00237193941402553 0.0180080633848504 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0255852463249017 0.0515216757031616 0.00070763396819988 0.00374596601649924 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0113571582233986 0.0289594762634951 8.58178265643462E-05 0.000929434589428398 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0249865058890727 0.0538010187331253 0.000533418021943161 0.00518958442852634 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.046207387215784 0.0887643990361469 0.00236974373263758 0.0179792135252997 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0343753227227813 0.0548619295239121 0.00183310046404632 0.00451949323003071 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0137406206254095 0.029901358041869 0.000197394081338909 0.00102846373603926 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0252156567145326 0.0540227117747676 0.000560660198909375 0.00521010793519459 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0461753128105506 0.0886608903536197 0.00237453643795369 0.0179373389610245 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.082874977727995 0.0829867165974399 0.015944096125286 0.0124913198081306 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0294448347926234 0.0380240051167793 0.00161898670093501 0.00213612514993449 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0289105249866529 0.0558589872668865 0.000942160911168519 0.00553077054792263 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0466608178315757 0.0887653869486951 0.00250576947212718 0.0179389847370143 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.135263667075652 0.121845562079786 0.0473606517968893 0.0286887829101009 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0468375492348637 0.050817142856737 0.00475734154964753 0.00448545536102061 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.035534872552029 0.0588522413337912 0.00175143196129796 0.00622722935837824 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0484296532294116 0.0894659637132185 0.00283019233699893 0.018212597007822 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0304771521947532 0.0543030607027086 0.00136146843463348 0.0043092441683317 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0128096867408978 0.0294645905018024 0.000156091250377456 0.000994842451176479 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0250811327850438 0.0538004072972963 0.000543419063078164 0.00523608374786117 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0459809367101103 0.0890434087336434 0.00232547247323238 0.0182236413180733 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0496436132193718 0.0639986135565642 0.00486446933960077 0.00666327029102957 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0185380981744469 0.0318345586446045 0.000511994402267574 0.00128218635755312 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0258710058769882 0.0541627713288421 0.000617604770608914 0.0053472098388736 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0460253532899532 0.0892411558389702 0.00233026409907749 0.0184511693484642 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0931150645009202 0.0922307758904688 0.0207783460566659 0.0158303637784703 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.032955553841164 0.0400883689961341 0.00216449025144766 0.00247065132552867 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0291669154065556 0.0557739989987966 0.000952819816164004 0.00577295407210957 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0463257703664982 0.0898048872754152 0.00238065797644735 0.019034216993579 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.274267494115546 0.241270748204407 0.218215304960522 0.114907960773386 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0951855505662195 0.0891613927888753 0.0225635625494152 0.0163801952438804 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0532589813342478 0.0710225648771249 0.00535707031090345 0.0105058123364311 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0537823340636625 0.0952226269636836 0.00396101486532347 0.0235144727630155 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.456080384931673 0.39908554610255 0.640431247379563 0.302216059770769 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.157168776431171 0.143591630584846 0.0655519280246222 0.0451465612137149 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.081504666321302 0.0939196986790736 0.0149616490417614 0.0207794079837182 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0672640994428907 0.104673107766394 0.00743424039753613 0.0312068438230076 NURBSSource NURBSSource 20 200 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0481809314835738 0.0206619569674664 0.00799424306623546 0.00146084879736491 NURBSSource NURBSSource 20 200 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0740036161401035 0.0177007887799991 0.0233831601463231 0.00152900079666104 NURBSSource NURBSSource 20 200 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.137427352480013 0.03557081904219 0.0729368672993764 0.00656716810629844 NURBSSource NURBSSource 20 200 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.202170112301863 0.0634825224913584 0.134499128296173 0.0194916447905438 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0490861240620653 0.0225338576487027 0.00830002181991065 0.00166190758466551 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0738664477744401 0.0177614703947717 0.0233377815850731 0.00153839979617235 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.137548292205607 0.0356709844693384 0.0730768442544922 0.00657816576776214 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.202353624912913 0.0635246609573674 0.134728697596589 0.0194939895960131 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0512389730257463 0.0263476083896753 0.00900215263174718 0.00215722458357305 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.073883872912492 0.0182949486469058 0.023343650869248 0.00159247131437975 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.137719038941658 0.0358804096993651 0.0732338749915228 0.00661016999908458 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.202551838567878 0.0636747012192139 0.134958937810309 0.0195565723036532 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0586433438719775 0.036801836403006 0.0115269660169357 0.00393172950367772 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0746650443916595 0.0204028646713097 0.0235416155919665 0.00183336036479078 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.138137997523495 0.0365385656012931 0.0735851168950142 0.00672390362900918 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.20294674562988 0.0639503677589641 0.135431162102028 0.0196295345046349 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.107011883120787 0.0908254841924199 0.0358693070341723 0.0212037626751839 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0829319195927505 0.0348979268411392 0.0260315046827969 0.00418969489865026 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.140908350144353 0.0409618384159511 0.0755382904895654 0.00757360979531257 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.204848125750784 0.0650151762749185 0.137584645789956 0.0197347052654511 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.163711993928914 0.147840936044253 0.0823082137942381 0.0524974620619481 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0964572988396884 0.0526052784305064 0.0310348600653568 0.00849521756922094 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.144493964181571 0.0479244950164846 0.0766544539775013 0.0093598814388433 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.205767047915755 0.0670961454326519 0.137178935090137 0.0203374755961862 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0562710494152091 0.0309589309177938 0.0106230029967357 0.00295095418703065 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0745257631316454 0.0199725102372681 0.0233567398886697 0.0017848234660188 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.136603593265651 0.036201510817078 0.0723801495959126 0.00684910811602284 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.200915047783848 0.0642057226173874 0.133209812911777 0.0200035118978207 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0745182266124653 0.0502807532010225 0.0177283754129595 0.00722932323572377 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0767877355651595 0.0249624085864195 0.0238297264791505 0.00246914503216718 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.135968846747116 0.037671011514947 0.0719654252355336 0.00731913621296006 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.199739230657894 0.0650268256692057 0.131986189874237 0.0205679019380586 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.119342955691053 0.0938955733251705 0.0440298681508659 0.023350626411995 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0850190782781406 0.0376020982655756 0.0262335025638013 0.00483205990720589 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.136724591684472 0.042418555281533 0.072114938216952 0.00874174118699065 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.198398211614756 0.0672340872187835 0.13024090118453 0.021996371392342 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.3151114882302 0.273501632346985 0.31073942791312 0.168548926674344 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.136209868629349 0.0964791696861904 0.0504874616241355 0.0262322596311675 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.149229215340627 0.0704254004529571 0.0765352712357304 0.0192118916844365 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.193326176857558 0.0824619112988514 0.12221781585164 0.0310544242919083 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.509457452719827 0.461840162680634 0.838199543775997 0.433260047934599 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.19810534242378 0.155160790399814 0.0995817631580126 0.0646670015924752 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.177461256746134 0.106663014864615 0.101837621568538 0.043651885088364 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.19720479489763 0.106395969501182 0.122186859297372 0.050906108563291 NURBSSource NURBSSource 20 201 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0235385775620273 0.0200223047757169 0.0010974717864622 0.000711876216026925 NURBSSource NURBSSource 20 201 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0652834923407196 0.0240918710466169 0.0018960963490958 0.000608162743014143 NURBSSource NURBSSource 20 201 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.127936228533017 0.0427072261298021 0.00609532003270658 0.0013319449498398 NURBSSource NURBSSource 20 201 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.173864092753238 0.0540276603460823 0.0115870857158251 0.00136174296650438 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0246964988853523 0.0211438458741963 0.00124134983397474 0.00079730629852093 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0654343561310918 0.0243640370858389 0.00192726639199569 0.000620290440799508 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.127780337491129 0.0425897714769419 0.00607444390102447 0.00132302109330035 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.17359814635405 0.0538000004182311 0.0115183444574782 0.00135016161031232 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0279968490890742 0.0231086898007437 0.00165808054394399 0.000997134306998659 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.065658724959243 0.024783017094215 0.00197582178523083 0.000643206429604121 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.127621584568213 0.0424751677878689 0.00605865524309235 0.00131891369126097 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.173350735181094 0.0535741489036101 0.0114563191388967 0.00134194734124364 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0390643176375207 0.0295997742136382 0.0034479532982748 0.00179666237649498 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0662050597847655 0.0260486437303991 0.00214518267054086 0.000726932044040408 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.127378388957447 0.0422764857509568 0.00604978582081159 0.00132507216180588 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.172898380983434 0.0531133602851621 0.0113420795728019 0.00133550404786088 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0972396111525315 0.0663936183702055 0.0246802307730706 0.0108458268589236 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0715203229516544 0.0345391692284413 0.00364832571389605 0.00156613733134864 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.126874965534678 0.0428173834874594 0.00626437418745053 0.00155281626957898 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.171727968275452 0.0512004739436262 0.0109497152292191 0.00144159347407641 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.158633973877406 0.109524009520765 0.0693834995202714 0.0302506148784459 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0836347446635834 0.0455927658049665 0.00662811363956966 0.00328996505873993 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.127263170552694 0.0455383463331217 0.00687851085859946 0.00213308041931634 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.170656063213013 0.0508198040016618 0.0109057435274314 0.00180287824747807 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0355162108575514 0.0270062660333908 0.00270177519583799 0.00141001625636446 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.065619128069955 0.0252956681397502 0.00199995311654488 0.000660708329804572 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.127773842782168 0.0424332809635014 0.00603142176124973 0.00129308845210035 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.173350146019492 0.0535055083894359 0.0114976490249602 0.00137077862734688 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0575802685849484 0.0411622820703172 0.00754130000703887 0.00366691987605232 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0664361599123338 0.0279188763742755 0.00232002338446384 0.000859573346137269 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.1278363953804 0.0426176018525341 0.00606386546655572 0.00134434104850738 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.172992808518082 0.0530907104111106 0.0114537340377359 0.00142737460985889 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.106688628493443 0.0744522432518987 0.0283374402725249 0.0129621222617617 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0710216189952939 0.0354672410429668 0.00353712093379633 0.00168245494754991 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.128237249913772 0.0445711151086474 0.0063940817934144 0.0017133252528197 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.172939024395854 0.0526818617485283 0.0115197808252555 0.00167743961303129 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.296033527543645 0.219528006548061 0.248735486224269 0.10591109365449 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.112512425338063 0.0745712814037077 0.0169049749118965 0.0112886584745886 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.139558381362897 0.0634285779658774 0.0113340974350715 0.00654498020562476 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.180395100991552 0.0620191638167321 0.0133553119002322 0.00431016903255345 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.454619509360584 0.373015643787485 0.653774567379813 0.279629106000657 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.164548335628422 0.120078958067249 0.0430973731142614 0.0321956126892973 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.168509134232405 0.0896451392209726 0.0211597233332306 0.0160946495913572 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.200558704645384 0.0779592946017119 0.0178987382386288 0.00926243734892929 NURBSSource NURBSSource 20 202 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0271701378064737 0.0564711199136362 0.00178173138144403 0.00462464447271222 NURBSSource NURBSSource 20 202 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0693729353723949 0.0935032329948489 0.0157782182625284 0.0256839111716624 NURBSSource NURBSSource 20 202 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.123929453042886 0.138400056932047 0.0428952708008635 0.0439447044109957 NURBSSource NURBSSource 20 202 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.178014002524512 0.152773311213467 0.0668946632258348 0.0604383926550187 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0277156242952471 0.0568938659462349 0.00182223848124761 0.00475057278363633 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0695134533329743 0.0935695108219645 0.0157675985949755 0.025731480918328 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.123918910185078 0.138452774947275 0.0428726016164345 0.0439563304698172 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.177939698128003 0.152916301102692 0.0669228089664697 0.0604618182015793 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0293619178655103 0.0583527883372937 0.00197030274556939 0.00509847454456805 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0697796567883038 0.093752579504874 0.0157719986265332 0.0257793510129351 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.123914483531535 0.138508065194375 0.0428457853654596 0.0439708564880849 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.177862616530196 0.153067331171361 0.0669479002479746 0.0604955178737394 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0348421317742836 0.0633031329636869 0.002601677970219 0.00636046535159925 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0705763247220995 0.0943461776454634 0.0157896226725423 0.0259337322013605 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.124069581703478 0.138708420225963 0.0427888561268344 0.044042280258049 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.177738425655346 0.15335377629689 0.0670027933938455 0.06056754883791 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0647858452540201 0.102275202306327 0.00964677812912828 0.0197358649871709 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0754550840267832 0.100340324015247 0.0161941991620472 0.0273286369670345 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.12511960957719 0.139506031987361 0.0425894232708526 0.0443717665486647 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.17744770562217 0.154565820154287 0.0671579608919286 0.0611022461201784 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0990647223990922 0.151531468685636 0.0248194360777217 0.0472020369615228 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.081983061606878 0.110390894473464 0.0171711365452366 0.0301357169319966 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.126345610381562 0.140905872330734 0.0423178694383626 0.0450119375883975 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.177238934248769 0.155882356413717 0.067272639088565 0.0619230014317115 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.032273131333139 0.0598650944672566 0.00214446055919795 0.00524844514616479 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0701249224784346 0.0937028142107727 0.0157719712745323 0.0256653696040015 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.123818002171648 0.139815844172284 0.0428347382911174 0.0447589445835663 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.178019131974153 0.154629527218777 0.0668820443534132 0.0611394714676865 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0420322835185222 0.069964266556179 0.00340016723161855 0.00770953462786704 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0718262236609545 0.0949725139759424 0.0158666650587136 0.0258535506472078 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.124011416116086 0.141385212208651 0.0427515540829111 0.0456993511818886 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.178020838507369 0.156514642521419 0.0667832065742267 0.0619904592789256 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.065645643796686 0.0996708864931955 0.00896766756069402 0.0183125179753556 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0760164440897044 0.0997655078574058 0.0163072677453549 0.0265131727290672 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.125036276365287 0.144944707541712 0.042549408231232 0.0478943142778889 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.177960765933853 0.160337036681769 0.0664706440357162 0.0640254661590031 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.175027308127791 0.254486934276867 0.0778592070877186 0.138247484938508 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.096968716765157 0.131835037025099 0.0217615025266879 0.0391426539285226 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.130247741455755 0.168300055298503 0.0411103931934871 0.0632133872058094 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.176176675384189 0.18181085842745 0.0626646962796783 0.0812258787472775 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.285567687179929 0.401530400798722 0.235095630758491 0.339902131675 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.122280577592057 0.16975138788567 0.0329687923417637 0.0673075000789865 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.134425469509984 0.196777991669093 0.0399791157298667 0.0894096922676847 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.172131056231653 0.212611911072121 0.0566168116562394 0.114525218541884 NURBSSource NURBSSource 20 203 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0145012711486905 0.00781037905152678 0.000644589231823553 0.00020075896237217 NURBSSource NURBSSource 20 203 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0198640837425378 0.0129273822890454 0.000292907075219111 0.000758230231272485 NURBSSource NURBSSource 20 203 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0423829933343359 0.0242124142629087 0.00127371361369345 0.00263656965281291 NURBSSource NURBSSource 20 203 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0702286666811093 0.0343643271021626 0.00426704798210764 0.00512284364767697 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0157884758612576 0.00842210572390944 0.000742568138246993 0.000221264461260547 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0200182836322838 0.012967426347196 0.000303553797935758 0.000761962644698561 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0422225190585054 0.0242502165348378 0.00127526598255703 0.00263982984344677 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0700927761145834 0.0344021172525702 0.00427152072518539 0.00512560684130313 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0190286709587771 0.00998414384489025 0.00103846221051567 0.000290699405820044 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0202310466687152 0.0130955320294676 0.000326597653691517 0.000771108764114428 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0420611650806404 0.0242925001693626 0.00127508133053845 0.00264455825000369 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0698043948973132 0.0344776585130241 0.00425231279606447 0.00513671936883627 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0278447064423882 0.0145189280109686 0.00216901073337409 0.000568739084009391 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0212773236955028 0.013765859522091 0.00041834333491088 0.000816943637214493 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0422607480477809 0.0244359409499095 0.00130611549611263 0.00266039134980877 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0697714440619076 0.0345851429276339 0.00428246420420945 0.00515010120318637 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0710238746254646 0.0370932385169938 0.01387371613254 0.00342286963249573 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0303796599737674 0.0188610806019648 0.00139825897686817 0.00123982062747976 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0444733399216172 0.0256158711458141 0.00166418363037215 0.0027978845169406 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0709193757479835 0.0352135311438015 0.00454832266242594 0.00524056751815022 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.11651234418368 0.061063606641993 0.0375471962671334 0.00884801966910011 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0440139501924939 0.0254556122346436 0.0035592011964297 0.00201802320032688 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0480997552134861 0.0275403291748463 0.00240631911501757 0.00304664494990532 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0730800906558145 0.036127942948885 0.00505346177963104 0.00537994695719551 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0243818941331556 0.0133677316372219 0.0017596571774808 0.000497962963575818 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.020423234835979 0.0134889794781264 0.000360649521243611 0.000785962218159226 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.042546701857297 0.024479967502043 0.00128375311305732 0.00271084439768249 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0703842216787757 0.0347026151518316 0.00426048097964697 0.00521587600354572 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0410379143992567 0.022705824566061 0.00494181312179361 0.00133756075141415 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0228699839238917 0.0148821245574665 0.000585697540415788 0.000877515963120292 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0431464373597742 0.0250066422743907 0.00134517697884172 0.00281261975156793 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0706649607062456 0.0350726946495306 0.00427859107387725 0.00531661463828861 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0776777542172164 0.043009383863463 0.0175331115896535 0.00454891558979984 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.031857747837966 0.0190066843630413 0.00160375852692811 0.00123224390265096 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0451541648027166 0.0265290781280666 0.00160915193350683 0.00307482444373134 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0716673713029065 0.0358460687001803 0.00438044092599227 0.00552944755955978 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.218982573468163 0.130558867026108 0.146043965328616 0.0366950844983689 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0805876033359196 0.0413964473226957 0.0145951970317657 0.00487865734925094 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.062560357350424 0.0354198595697964 0.00484604407475033 0.00483838883179834 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0789113128824502 0.0402656676011732 0.00573855091329555 0.0067284573057919 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.348119232365943 0.231639385776814 0.396857378834567 0.101669113454047 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.131635066639755 0.0658967003095026 0.0413813939386334 0.0118128536038678 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0865465801230627 0.0466132190761965 0.0118571411829462 0.00744525906639891 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.089258949709427 0.0452546387743933 0.00862764111975944 0.0082579891290931 NURBSSource NURBSSource 20 204 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0166584612930331 0.0133652426425419 0.000947651103358471 0.000585360974083859 NURBSSource NURBSSource 20 204 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0177869507122484 0.0167347808352966 0.000677830111725808 0.00110370638073909 NURBSSource NURBSSource 20 204 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0367318165373775 0.0307880031062564 0.00273087703747773 0.00309622000529465 NURBSSource NURBSSource 20 204 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0637916834780563 0.0437939093490217 0.00809674565569087 0.00542248824867354 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.017842187923738 0.0140402963121342 0.00106426180376149 0.000614281734979701 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0179071793890013 0.0168471753887112 0.000687480496938194 0.00110932132617519 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0367614748119051 0.0309157846504995 0.00273346552199406 0.00311171315183977 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0638700480716881 0.0439227316368167 0.00811246170249633 0.00545138982015289 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0214100553030222 0.015624207628123 0.00145318500272315 0.000699118635391787 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0182836757325872 0.0171048920176378 0.000717970446574353 0.00111911763418589 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0368351940510686 0.031063112870611 0.00274214516890983 0.00312855151792323 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0639499469883128 0.0440651996416011 0.00812693681865722 0.0054817710136613 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.031332920000095 0.0201260686537166 0.00294949824964217 0.0010274008447776 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0199286468721331 0.0179694746608094 0.000845020119973817 0.00115590415612984 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0370401065389296 0.0314009200653516 0.00277195626446595 0.00316569720426526 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0640808620806775 0.04437964429287 0.00816545904258732 0.00554594095259656 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0806424931578373 0.0441706869493056 0.0187458872420075 0.00460872979624803 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0319093773444252 0.0237787404778677 0.00218982719175431 0.00153578332423126 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0393128655480109 0.0335822273937778 0.00308120949202828 0.00338272172310685 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0648808554776005 0.0460468008000747 0.00829111925168447 0.005844918832194 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.131106905216784 0.0711738894032837 0.0497922708584154 0.0117404384238292 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0470847753095342 0.0310092774069473 0.00499338910977513 0.00230512632453618 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.043557794351506 0.0366869851844387 0.00379781666218241 0.00368558068600529 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0669831327170555 0.0481860463073812 0.00874651705472985 0.00619477835443092 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0276556633035394 0.0193912150365736 0.0022981590516594 0.000900166141697239 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192054708045218 0.0174961995895143 0.000779850355249263 0.00112665287251168 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0369883748369841 0.0307218823767077 0.00274240392977458 0.00304942064709741 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0640611214605863 0.0435320339141865 0.00801021570156196 0.00534830179430895 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.046753196379795 0.0287008876739202 0.00639590248729869 0.00184810106208952 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0230531995269557 0.0196831487264542 0.00112171555431471 0.00122477723014689 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0380718170236357 0.0309269178082887 0.00288520791553153 0.00301063449225069 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0648773367562215 0.0433319318954649 0.00810066169569328 0.00528265774544723 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0879243651423209 0.0498802798918774 0.0224751978655003 0.00562912229442488 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0337278313827693 0.0250893882594252 0.00251317033698907 0.00156914437761073 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0419969302180648 0.0319875930139266 0.00339478825616914 0.00297818247704376 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0667989885402286 0.0427526682431347 0.00834225702500255 0.00496344771326063 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.242249025397416 0.147489728426409 0.177245794089837 0.0463814590524371 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0846556985964 0.0522405023689113 0.0174282693995066 0.00588249869541216 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0673465412707591 0.0398479172188165 0.00831501103876618 0.00339563321261425 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0816209073100118 0.0436870515242754 0.0113611518959143 0.0044316480860664 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.378367492413405 0.262949869492982 0.467670575631531 0.133897431944491 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.132986189349154 0.0813323011418303 0.0436825230164121 0.0145848764769296 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0966161040085089 0.0505698091034707 0.0168107029452117 0.00515367438611605 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.103093392151118 0.0476284180461998 0.0167446494651707 0.00478010018027486 NURBSSource NURBSSource 20 205 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0227529889556979 0.0080319911802278 0.00157468074825223 0.000217021724284038 NURBSSource NURBSSource 20 205 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0428871664307618 0.00582696503535161 0.00258021720515603 0.000114488589744021 NURBSSource NURBSSource 20 205 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0829904422488281 0.0094140447427746 0.00816274485915467 0.00032201171901157 NURBSSource NURBSSource 20 205 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.119485818486087 0.0146799100485926 0.0158528843338732 0.000872721644656853 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0236391899969369 0.00881652749136381 0.00168536326569435 0.000249129702360626 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0429558971094361 0.00588294796285515 0.00259230202666009 0.000116644926569915 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0829442544357387 0.00936246563703296 0.00814930626146601 0.000320125633136725 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.119320186659131 0.0145576875169626 0.0157924673319009 0.000859132265631919 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0264555856885731 0.010644630826507 0.00208171117274153 0.000341517523865857 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0431806829265661 0.00617757201863608 0.00262957607005076 0.000126830643110906 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0829172228127966 0.00936745811098516 0.00814218976320095 0.000320801107715889 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.119168297709507 0.0144488641940474 0.0157344704539848 0.000846483287887519 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0356318157105116 0.0157898923776998 0.00369834239278366 0.000699515066437767 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0440869121260226 0.00733595250412251 0.00276927610508872 0.000170220479877021 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0828814696144238 0.00952131866337076 0.0081374276595086 0.000329276143582176 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.118900241475059 0.0142722322219417 0.0156256950474648 0.000824870095307253 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0856127086414552 0.0410558286820983 0.0210893552335983 0.00438849968243887 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0519085461364213 0.0149513908089217 0.00424220412737042 0.000626340879438899 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0835780532154494 0.0114168429639028 0.00834589444373672 0.000448266997649822 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.118161034005813 0.0140269771661381 0.0153258782749097 0.000777381992174748 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.1391002731329 0.0679903962497023 0.0557309051754265 0.0115070395580584 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0639962982330918 0.0238831092224357 0.00707091423642338 0.00152708901381092 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0861972700995787 0.0147665929905318 0.00895508191569534 0.000705264053485974 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.118384496579641 0.0147513660864839 0.0152521278607425 0.000817325062029683 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0330295889951058 0.0148074795105896 0.00318851231091608 0.000629075232511188 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0438190732308879 0.0070313058609139 0.00271314234039219 0.000158958178963229 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.083448661121199 0.00973208372182251 0.00820619231943851 0.000337312811111547 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.119954126994014 0.0149016075927729 0.0160051632202736 0.000880443704316147 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0525690967205005 0.0250252649812621 0.00785827850794395 0.00166790078036739 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0461967428754608 0.00948899741242945 0.00309523759643068 0.000273287754937634 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0841172339830225 0.0104762595977497 0.00831515942946735 0.000376014974585823 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.120534788217264 0.0153224983268036 0.0161883180402348 0.000903047792361434 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0959955267626257 0.0469420497179629 0.025696972830104 0.00556199719641183 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0536989011865957 0.0156184618886639 0.00461736398406292 0.000696655398102227 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0862152581859021 0.0131140144188766 0.00876038245937231 0.000528769927131167 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.121959734479894 0.0166706116489092 0.0166482838457448 0.000991805112821438 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.265933853990961 0.143070408850298 0.196262738120376 0.0472789202088227 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.102856615326157 0.0428773336951006 0.0206867989605031 0.00489662322523008 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.104187626557595 0.0282918978013538 0.014182743709397 0.00196820825715558 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.131778042965369 0.0259094970450846 0.0198847141068119 0.00192631249166973 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.417614030843017 0.255933443516604 0.512054139443592 0.136909665352493 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.157158662915394 0.0705523764838917 0.0506209333925731 0.0129051434484923 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.130267394277569 0.0443578477193039 0.02368906339091 0.00460955433895426 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.147077627412108 0.0365376723750545 0.0244037717826531 0.00341813403986377 NURBSSource NURBSSource 20 206 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0308518417658997 0.0192071147041927 0.00281740477751106 0.000819041306553533 NURBSSource NURBSSource 20 206 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0334199135427751 0.0137244456116089 0.000708570905025791 0.000652578896976896 NURBSSource NURBSSource 20 206 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0700686089090706 0.0235101038321389 0.00230448722514225 0.00207249662565495 NURBSSource NURBSSource 20 206 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.10988212465486 0.0374780934945294 0.00703444292212502 0.00562223559154873 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0325057201124982 0.0205250688670527 0.0030956390287696 0.000915062486293858 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.033431846013407 0.0140632815027203 0.000720035785245619 0.00067499843165797 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0702907849055537 0.0234159808956761 0.00231952063797061 0.00204701580270869 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.110098565965119 0.0373574899409968 0.00704484740153747 0.00556143251693054 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0358188551132464 0.0235481897841561 0.00371582605476488 0.00119822578582373 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0336659577257428 0.0147417482677678 0.00075791077632068 0.000724473931540727 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0705315185017764 0.0234047899550667 0.00234444155875844 0.00203199331649393 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.110335559383239 0.037246863225908 0.00706048743729277 0.00550465172663197 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0466108760980069 0.0329275480217475 0.00605772214529409 0.00234536430901558 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0347711897047879 0.0170587302678427 0.000911771246592568 0.000915183761433024 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0711267563971562 0.0236759967658985 0.00242018419244375 0.00204156457717986 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.110830310167157 0.0370406947480677 0.00710439055188624 0.00540645640910836 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.101810726976369 0.0784371174836595 0.0283921913092776 0.0143612102048878 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0463990405124073 0.0316605711874672 0.00271252631431481 0.00279552205144872 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0748492792730546 0.02740169657458 0.0030984263476918 0.00251455749098483 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.113380670442181 0.0374972943959842 0.00746853676075821 0.00529233067227119 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.16244525783487 0.127498466625712 0.0722184548901626 0.03799432859011 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.064391913626968 0.0489324263648243 0.00678070914527947 0.00650483265993339 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0808590276346466 0.0336689079427588 0.0043724990994823 0.00354377283826825 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.116998599555978 0.039410173239323 0.00813794989102496 0.00554762961727286 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0425263403084197 0.0283275186798587 0.00499831057212397 0.00174223255986913 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.034394915498695 0.0156487438104167 0.000849493141378614 0.00077533296851904 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0704591160985589 0.0237310888970838 0.00228763262230186 0.00215003581738526 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.109815709826611 0.0381118786989119 0.00692684023064241 0.00590493225457402 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0643749927776564 0.0445905885632062 0.0111739078291449 0.00452752510536977 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0374898365327286 0.0203323519110232 0.00126995837439653 0.00118428804392483 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0710122760830115 0.0246926773245219 0.00235754339903879 0.00233597460177634 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.109828716986521 0.038952519179162 0.00687709460220548 0.00621669652062483 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.113691639264507 0.0817232371907031 0.0347256616389707 0.0156814614058524 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0483943546202731 0.0321899408660545 0.00310398872052228 0.00278087735271154 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0732260825177103 0.0289249278087585 0.00276897639536372 0.00308689662090854 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.110467878933921 0.0417366242746701 0.00693141773251486 0.00715869323700416 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.320735305313908 0.237941465357061 0.284007584199722 0.127734059859624 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.112162959208844 0.0878266728757914 0.02530080429124 0.0197538424082374 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0950102099583383 0.0558605980543605 0.00803308970515901 0.0106836502145474 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.120190102213899 0.0610591543884632 0.0092316220482584 0.0148790013878404 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.511463237935887 0.393080586943334 0.750943474612946 0.324959188465934 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.178273301676541 0.144101000955849 0.0684186238126626 0.0524467157890792 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.128018360614668 0.0870504579517056 0.0193163381839391 0.0256850464519361 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.139556669421433 0.0857336246515529 0.014843825344188 0.0289747726078643 NURBSSource NURBSSource 20 207 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0118049163399862 0.0326998529382531 0.000243624740434975 0.00119369371432111 NURBSSource NURBSSource 20 207 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0164685395397962 0.0427933465283529 0.000264750301647963 0.00384820592535202 NURBSSource NURBSSource 20 207 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0298832314967549 0.0751666176435422 0.00102725049558902 0.0158728310183772 NURBSSource NURBSSource 20 207 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0451028324380596 0.111754552037303 0.00263129378346844 0.0418584391825841 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0122749682660745 0.0337853766305499 0.00026346147003892 0.00134962133801241 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0165187321552687 0.0428262223928089 0.000264613246263253 0.00386049530445779 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.029860411373362 0.0751569575820038 0.00103400242246699 0.0159365095232314 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0450119159650431 0.111753432757383 0.00263685657962332 0.0420145188198189 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0135935453165053 0.036859521279806 0.0003229174197541 0.0017727008101767 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0166163819192968 0.0430960845942227 0.00026832829139973 0.00389880254163303 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0298576621410735 0.0751812429780473 0.00104222764300968 0.0160131854958334 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0449252291118439 0.111775352486541 0.00264175615420082 0.0421798171637089 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0175680493669614 0.0468199605617203 0.000563263146498644 0.00347585276473697 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0169213236154755 0.0443361757261448 0.000287067915725629 0.0040789836865413 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0298846611215368 0.0753864470010715 0.00106288422528388 0.0162062726243765 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0447620636548984 0.111929767484663 0.00265538335569299 0.0425579555785664 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0383939390457788 0.104742941342281 0.00338616931874411 0.023924897327192 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0199404313538366 0.0552983378279074 0.000518865537346322 0.00604846610455202 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0302429589573211 0.07681790651759 0.00115626500256703 0.0167686707363691 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0441491665341209 0.112491796042456 0.00266332193595941 0.042926784913049 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0617419368430939 0.165147081595399 0.00956796126559972 0.06364334033197 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.025198259907077 0.0708175209421292 0.00106083515998711 0.0104215799373493 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0313349344764483 0.08229870700638 0.00138013406111 0.0191127176136995 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0439348621468149 0.115559452009282 0.00278831220816612 0.0457019334863031 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0167347688667426 0.0415346242698375 0.000510851914991258 0.0024296331296165 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.017159008296406 0.0442783367191353 0.000291844083230919 0.00401807459828144 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0300160339933526 0.0753514465468702 0.00104364289182923 0.0156336635693183 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0450704332997923 0.111443052587103 0.00261877318026807 0.0407973171226263 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0249706095192801 0.060025878438593 0.00133043872286723 0.00658426388688474 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0184784259460671 0.0478563796014378 0.000381576967383743 0.00459407009298215 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0303898812816213 0.0770699322415298 0.00111165878555715 0.0163381874687616 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0452750942795345 0.112683226218619 0.00268543596796105 0.041746751401877 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0443415011581193 0.105147679781938 0.00484434684197835 0.0247847845061158 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0228292592337352 0.0580234717498693 0.000732799540742503 0.00653769446942289 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0312834888735384 0.0804978610989257 0.00123944048839703 0.0166920037022151 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0454326780286025 0.113613593320005 0.00272355295201754 0.0404505860041194 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.128084345346622 0.28377630017536 0.0485232600214857 0.202895330997143 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0481878011213647 0.112731985134221 0.00507031198453705 0.0292253376529786 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0389130750699404 0.107275744158464 0.00256536385932644 0.0242645388164829 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0478688580973756 0.125163218768238 0.00336660473584993 0.0401654282889462 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.224565471539795 0.446226346492124 0.16555830011588 0.491187956072991 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0766984323212384 0.169625253949786 0.0145863923181072 0.0747778925612568 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0525614197875562 0.137944195743418 0.00545764046733013 0.0406826760869444 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0550827146668919 0.146794795060612 0.0051160767071574 0.0486563238662446 NURBSSource NURBSSource 20 208 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0054980875660296 0.0329878360614523 7.34104770782151E-05 0.00141264538029106 NURBSSource NURBSSource 20 208 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0102631915935335 0.0551023514763796 0.00016296559891226 0.00690744821652348 NURBSSource NURBSSource 20 208 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0173777975538704 0.0991592203734009 0.000431353715781864 0.0271280267249445 NURBSSource NURBSSource 20 208 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0228704478366728 0.138856940794351 0.00070816061078942 0.0590447157791666 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.00624653069021934 0.0347911475900135 9.21298974307175E-05 0.0016515591801291 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0103510781616096 0.0552326544158521 0.000166479119865377 0.00695902987278845 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0174415822971084 0.0992790064767785 0.000435776933066576 0.0272563378232629 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0229441834748185 0.138951322666596 0.000716303839296902 0.0592571303810416 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.00822678166597896 0.0387439098593804 0.000159893020312246 0.00223276068687515 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.010536649116375 0.0558013719382133 0.000175036709147276 0.00706517768346369 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0174921939569158 0.0994459692720746 0.000441374129326401 0.0273994942013958 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0229782738757892 0.1390561736984 0.000723895079355952 0.0594790013769505 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0134175129420244 0.0507479176436073 0.00044254028906181 0.00472327118207084 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0111480338084926 0.057687012442159 0.000206510276117076 0.00739338216757257 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0176845747157288 0.0999436371091993 0.000459373917653115 0.0277562081088863 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0231229400803351 0.139319880111193 0.000740890785392376 0.0599794282422464 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0373737710581772 0.119476332882163 0.00365210223919329 0.0343629629001963 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0167636454389546 0.0703510129688653 0.00055772312316863 0.0103046175028348 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0193585952446994 0.103413434647899 0.000591433282197896 0.0299493571407124 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.024393173506674 0.140343501118099 0.000858120712070169 0.0619939801713291 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0617150135053258 0.192853365029953 0.0104106920282746 0.0942543604304813 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.02451689357262 0.0874189711295554 0.00128247199383986 0.0161956729188386 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0221698391021797 0.109646308620491 0.000837902359187543 0.033897963985377 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0257479987833394 0.143078239099714 0.00100523551707004 0.0659507884833983 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0120558404080448 0.0438329915015659 0.000371133064435941 0.00295596495281095 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0108823280707909 0.0572339399756864 0.000189939157903169 0.00732324235651364 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.017670439664519 0.100674450657131 0.000454659143597058 0.0283496837713638 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0230299896563102 0.139965314049657 0.000725432112163588 0.0606973479909002 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0217252503777716 0.0656598801583119 0.00124591353248903 0.00816496084671899 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0125021830939364 0.0614691614371895 0.000270069071285878 0.00819850580846197 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0183061735195651 0.102676877001517 0.000498941648007307 0.0298439485613104 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0234184602925192 0.141254709224531 0.000755326497469786 0.0625799876669805 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0421497078098242 0.118477583226384 0.00482464457894678 0.0314544133995799 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0178204616929502 0.0726696419149755 0.000625361404475209 0.0111673431711217 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0200273251620611 0.107688189374294 0.000635920410586054 0.0336576252074542 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0243421501355919 0.144544703328791 0.000838511972466498 0.067137153450082 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.125291277493062 0.336589612345976 0.0463344170891184 0.280909197825248 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0435920333656491 0.129358121253854 0.00456211135297449 0.0402842046800266 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.030643366409082 0.141196291229366 0.00186822822820156 0.065428724409469 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0305343686950847 0.169643644039257 0.00144302901585156 0.102993218682885 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.226767390212751 0.523364423473481 0.166334457356467 0.66997781980448 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0697792870755327 0.192581186181434 0.0123494482041089 0.101917379495202 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0445425250470037 0.185380588032239 0.00431298211379333 0.127944996486724 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.037522380987192 0.20836647811853 0.00239141467939094 0.171014894502157 NURBSSource NURBSSource 20 209 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0220189093316441 0.0417503407426362 0.000977138374783056 0.00270285951287314 NURBSSource NURBSSource 20 209 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0143327991515045 0.0320115975053262 0.000173461195098599 0.00140372404229126 NURBSSource NURBSSource 20 209 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0275215719893369 0.0566532628541026 0.000621715230871131 0.00594426818273731 NURBSSource NURBSSource 20 209 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0487746470800991 0.0929738540532408 0.00253432780568143 0.0196056175523498 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.023573319999795 0.0423308593785738 0.00111583541526165 0.00277055978625055 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.014537536494201 0.0320752518534391 0.000191313612550766 0.00141629746175538 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0275663159149025 0.0566203191177117 0.000628562428857424 0.00592852267741274 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0488021144653296 0.0929220901568911 0.00253774088599606 0.019544822464296 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0271117523567615 0.043864827681863 0.00151369457872841 0.00298426038500589 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0152052916119298 0.0323514890353151 0.000228230974552345 0.0014546754107875 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0277162997183316 0.0566092266819425 0.000642648929032361 0.00591804492369941 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0486765579449561 0.0928815732303031 0.00250950643613757 0.0194897033819549 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0378111602057752 0.0492429842539842 0.00313061896784045 0.00385183177429985 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0176671332000726 0.0333069342537549 0.000374975868074457 0.00156835122863833 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.028215375611218 0.0567289830065813 0.000690771257280706 0.00592360048371257 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0487998782626519 0.092815686830298 0.00253192593698331 0.0193909698403006 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0911802760730028 0.0838820783636976 0.0211732650931852 0.0129625649963707 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0333395801560797 0.0409980158565236 0.00212848169892367 0.00270737965745434 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0327976420667235 0.0578312458142655 0.00118660505026271 0.00613171212363092 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0498126837611992 0.0925961460058995 0.00271806732240545 0.0190635573688757 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.147595560030651 0.128402895457164 0.0590513707259988 0.0317532942844201 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0512549452226554 0.0525556835934268 0.00592510521627035 0.00501202062165201 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0406490595126064 0.0600584362079144 0.0022758380896584 0.0066927985657288 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0518198340261639 0.0927025745272912 0.00309006348254307 0.0191020751532305 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0324366582595381 0.0464766311777223 0.00229866361661859 0.0033897834710604 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0164240564158452 0.0325433887420903 0.000293490458813363 0.00149212452442765 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0279908320565746 0.0569766370375737 0.000657283821892951 0.00606053015113063 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0489641960364841 0.0933927897380846 0.00255105888251942 0.0198986036339334 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0513725777308065 0.0582532397914236 0.00638734946459953 0.0056255022201976 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0218358075680281 0.0344067879832457 0.000686601256621524 0.00175758827170891 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0290314496561784 0.0576086274234108 0.0007539608588157 0.00623972475863272 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492634867285956 0.0938895925433056 0.00259644189418999 0.0202376099807483 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0944414446521618 0.0902534601508273 0.0238986966366055 0.0150960635848436 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0358392659758513 0.0408839285091037 0.00246901911209687 0.00283792100344884 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0323638694558237 0.0594982683071503 0.00113023740378004 0.00681295105332727 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0504925243731558 0.0950637447251021 0.00279669961336716 0.0210716298320758 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.272727307219375 0.243775069644088 0.224939528744315 0.116112825633685 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0964988748882404 0.0851888305595251 0.0235213134075828 0.0156435326176751 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0567034190365682 0.0735435491020885 0.00560377915651643 0.0120488080843595 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0609586010288838 0.101921613725534 0.00481722789217655 0.0265240916613647 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.452568675119069 0.405288585891896 0.647320065691788 0.308083727492299 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.155552248378396 0.135855527803744 0.0654357548173723 0.0423114125094646 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0857399361773847 0.0951892486269426 0.0149624110285263 0.0227207811616948 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0769461521267536 0.112213863870039 0.00936024030221063 0.035898739437595 NURBSSource NURBSSource 21 210 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0987027649516713 0.0511542781747774 0.112126224901958 0.0218684614168731 NURBSSource NURBSSource 21 210 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.17372508423952 0.0601073672603655 0.30421819870377 0.0584675636286015 NURBSSource NURBSSource 21 210 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.501290868538618 0.184918858713052 1.80249906581659 0.280561755296901 NURBSSource NURBSSource 21 210 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.700658592538367 0.317396629215373 2.83478251494706 0.612873681045256 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.100146355551508 0.052286779300337 0.113734521136614 0.0222972570807458 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.173773301013516 0.0604719379501463 0.304975872449756 0.0586560698475674 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.501649001148156 0.185026899119079 1.80573895414248 0.280637795695121 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.703064426877186 0.318082865831444 2.85636890347434 0.615253031339209 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.102743650106469 0.0555347503092476 0.116344003614906 0.0244800994236689 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.174227947478074 0.0625335395125599 0.306033364447795 0.0600614495668628 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.502209151591255 0.186199347088175 1.81052298540102 0.281754277449775 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.706168904431659 0.319008494640407 2.88028197069882 0.617792657610987 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.110954215909558 0.0644627793447668 0.126431175906059 0.0318983043949253 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.177082542998983 0.0670641518674344 0.311053667817192 0.0641914026612037 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.503674599645408 0.18932760929909 1.82149862452239 0.285168604415362 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.71116312524039 0.321887766902834 2.92156076273522 0.62398897433373 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.167778959068117 0.114669243817668 0.302585931135041 0.0761395562744814 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.203087824414197 0.0858955984863418 0.383114190815511 0.0795300826006019 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.517937546629887 0.211888633026308 1.91457734465835 0.317875235716842 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.733704305911569 0.342358659821784 3.09374946810297 0.675801370251021 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.229344253144948 0.3292700658784 0.504913370021575 1.56335883882674 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.230274059354204 0.277398798954177 0.416851179135203 0.451820056978083 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.551889115553384 0.402519282962793 2.02928155697477 0.552737482642376 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.749242881858885 0.443494577578419 3.06042568994219 0.776598569907041 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.1020098334096 0.060555964882594 0.114870623466528 0.0272294692618788 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.175679682522079 0.0640618832224047 0.305551764866325 0.0606380014201893 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.50384070966399 0.187496766420009 1.8010971397618 0.282762500578367 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.698123472973164 0.318694477958722 2.8149166309904 0.611872322168259 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.116271441051675 0.0780315975092193 0.127505243500145 0.040505950979675 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.181181220089187 0.0711891783171603 0.317828012550366 0.0662298999926437 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.506713445664727 0.193695137124416 1.80384077769399 0.289641775705645 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.697854600472328 0.32111863124091 2.8061936095717 0.612856366995208 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.159604039316773 0.123595973843313 0.184734719659206 0.0878542799793901 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.197200388399363 0.0925900402810692 0.357765457500383 0.0873838169058675 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.517456145251804 0.213415475196164 1.87234716086255 0.323119350287106 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.700393777939713 0.329586498716256 2.81962576964407 0.628967281551345 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.501383371211528 0.334586668246434 4.04685554419221 0.699845822067389 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.2899426571159 0.235748664370054 0.773596183895995 0.623268117839565 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.435222226411041 0.296949143306887 1.29390975550798 0.489075668318056 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.542553523616079 0.420391069149031 1.48287876269344 0.946806585614485 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.696706657433272 0.565694997573923 5.18839452135045 1.37406611235011 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.384387751087436 0.350949950828472 1.24994868491046 0.997944988860575 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.458891447779325 0.395823730954213 1.25636455147821 0.730720390114876 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.509669063682854 0.491502830184272 1.23213862731993 1.13959632840912 NURBSSource NURBSSource 21 211 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.114712748796536 0.305929673729086 0.474753998213566 2.92450318254124 NURBSSource NURBSSource 21 211 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.286143572611021 0.837271240669387 0.686951597289406 3.8175871613616 NURBSSource NURBSSource 21 211 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.468376860944947 1.13409776708337 0.643194910489896 3.31613535329921 NURBSSource NURBSSource 21 211 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.552227741292902 1.28691324802672 0.513995231306125 2.57059116559774 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.11849348650356 0.306247022032159 0.48787117523088 2.92834617409631 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.283953829616251 0.839717357029453 0.684823188225017 3.83360669159575 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.465911395998591 1.1372224440623 0.637665013171246 3.32675732232843 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.548384753601964 1.28642996113285 0.504209939802265 2.57351966569983 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.124287350834249 0.307614234696778 0.503187851664924 2.92946190815523 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.284435784187857 0.842564069692309 0.684646484927273 3.84954959573596 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.464730886212811 1.14184661437717 0.634045509741537 3.34410245316427 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.545546689349828 1.2859267623229 0.497191600764308 2.57189161975188 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.139176028685032 0.313993476649331 0.543371938183866 2.9419101780761 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.289418140458013 0.852164254581743 0.693053836963616 3.90314891002798 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.464152819838348 1.15584234040557 0.632977827565722 3.41739946190461 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.536683541038475 1.29146955419025 0.482439117540334 2.59606650759726 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.214017881578237 0.365178927439461 0.824409402229384 3.05014180909269 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.3220046588303 0.880238919581794 0.79891881261824 4.14127575681425 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.47592876551336 1.21156462912608 0.68291771550347 3.90684890044126 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.521987273154443 1.320425135076 0.477501021451307 2.72241364906693 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.296371506475778 0.451368795723609 1.32364498436153 3.53171909710036 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.364272843774411 0.891626734871872 0.981864088951251 4.27009510379166 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.49713548775074 1.24696561614715 0.784024124962549 4.19765721978004 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.518705759894536 1.3470756736704 0.499323575559587 2.82607518618615 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.128222472830125 0.314741397782967 0.492840949033535 2.82545045932226 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.301776089866825 0.867567339462107 0.757033085731686 3.96598227819155 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.477902360644649 1.15331278631957 0.673377568557457 3.33287498820757 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.55237921520636 1.29512992869177 0.521915713622174 2.57062310747319 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.154418424443195 0.333002472616086 0.558229609305958 2.77468581872217 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.320777424854602 0.884439512959696 0.843550254374455 3.9924107610837 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.4917532982869 1.14609577362259 0.718156749751053 3.29776667548355 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.551099368252774 1.28563236257837 0.51852413927697 2.48534800843456 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.211288220974407 0.396691029672198 0.724192117459977 3.15168341524815 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.355472965228162 0.905653899442569 1.0674893815842 3.99887630068475 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.52758760793258 1.14955352893923 0.8561078544726 3.27202261715469 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.570453058812921 1.27537385315198 0.588918605594782 2.45009840206881 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.517036675226913 1.01011219643972 2.35999943781904 9.54450959582499 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.466529922520407 1.28360568501885 1.56459139266276 6.31620337663451 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.630718016808494 1.38229587907927 1.24084481223241 4.28831908936678 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.638992420268931 1.45403791651487 0.959711296516355 3.10003859941848 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.32677509164526 1.26813306391562 15.2921664393684 8.39841680571236 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.4127077467151 1.12170468726449 14.86421059226 5.16890023123152 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.41134036056407 1.16411204675217 9.93478649430838 4.01013538345856 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.05055327015967 1.0812459461937 4.16564160661457 2.9151662492489 NURBSSource NURBSSource 21 212 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0442089410139013 0.191384029602206 0.00418913650695243 0.453862125087865 NURBSSource NURBSSource 21 212 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0927383143098555 0.328197503577213 0.0294254090484492 0.430649880875607 NURBSSource NURBSSource 21 212 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.216934494833022 0.536319635893182 0.192670589406719 0.626481636660486 NURBSSource NURBSSource 21 212 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.377753513726011 0.630259218701816 0.39039235152706 0.812288612515131 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0446447306220643 0.194441628138435 0.00429505884249684 0.460920693591952 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0921366141425798 0.330199652663225 0.0288645290601056 0.43595148239775 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.217514845202247 0.539532567307356 0.194310435879883 0.634287453843293 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.379425256428729 0.633978435050187 0.395316108655882 0.81800778930897 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0462746700157735 0.197717235568623 0.00511554112652506 0.468431611993781 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0916161422398531 0.333426223699296 0.0285481290896502 0.442821593633572 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.21805300369191 0.542859602516531 0.195844872624644 0.64300443124651 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.3809108088534 0.635849405479192 0.400090347845362 0.82200523553534 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0522269897512668 0.20514295944515 0.0167422826911798 0.478548360141856 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0922412727287721 0.339657767631143 0.0286400401995131 0.458267165235748 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.219478913838396 0.550444934656211 0.199129864572177 0.661168121217292 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.383208921445921 0.639955838308464 0.406715873129294 0.831473459975995 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0854395896467255 0.245486470583055 0.146718026034841 0.5290098518854 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.105968660474003 0.36926313280921 0.0517879750248386 0.544269140876891 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.225865399212041 0.588482572759041 0.212906367748374 0.756343032179094 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.395362578746713 0.666186666855805 0.447646311036649 0.907006469250472 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.126057160331652 0.288334427407007 0.293207933890728 0.571425690994451 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.125694191434947 0.401287015041271 0.092738985969583 0.666016085448087 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.239411942955793 0.640531294304515 0.246643581947276 0.890084668775718 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.408828047324792 0.700465503519408 0.49265178358169 1.0172309227266 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0523900643805055 0.20199059437246 0.0144584046374778 0.431037837924394 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0940140961567699 0.342049716496287 0.0312622352396079 0.453330940314551 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.219271125820739 0.533426378589631 0.196968417130645 0.620600752454021 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.371951988721168 0.620859208556491 0.378995552721606 0.796920777705778 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0680830266284665 0.213178217969606 0.0791257757662314 0.418768690673977 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.102511212256686 0.352882358720305 0.0432100645018142 0.480110428982283 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.221301009211173 0.528429682490467 0.201105049881696 0.612530381424926 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.361839694610547 0.611145899832209 0.357029896567229 0.780287088380811 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0974682277285867 0.232100042013994 0.142935563120438 0.38673811767728 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.123959809497276 0.380489698809024 0.0937552944178944 0.580464497217213 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.222529792813246 0.529811148672801 0.204695592522194 0.65736903496665 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.350870474624637 0.598603431616095 0.325347325906761 0.788829007556068 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.224773917152139 0.373130480713571 0.409649226536847 0.729455124513962 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.240464424145785 0.363886158870085 0.621902162765257 0.630293171311145 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.265904463055607 0.496378266310642 0.376057983269328 0.748038262560838 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.372616900931591 0.56328663356022 0.429191920915625 0.903465105935549 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.499070410739557 0.674278302685321 2.49121288676525 2.92300613483805 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.436621501969195 0.727685218671592 1.85507650896704 2.52734279501449 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.394783430808521 0.807628519105202 0.782210093667839 1.98750316021164 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.528776217404975 0.780811423619962 1.00293654107272 1.27930674770478 NURBSSource NURBSSource 21 213 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0289303364819093 0.0171761730740322 0.00299984333379802 0.00092452996132346 NURBSSource NURBSSource 21 213 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.137523452254137 0.0869855390350554 0.425843487268297 0.228988154660354 NURBSSource NURBSSource 21 213 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.38154223618053 0.295139170477251 1.07344427802469 0.602006404020224 NURBSSource NURBSSource 21 213 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.523040700772343 0.339501786093719 1.26380788449031 0.475151161823479 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0318318873365986 0.0182341993800454 0.00494884029883754 0.00105782673950086 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.138041741983066 0.0879719440207499 0.425483090601756 0.230413638408353 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.381558186096877 0.296312282643571 1.07013047645184 0.608179899082886 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.522126882941144 0.341356203340405 1.2571690613565 0.480832185100042 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.036001094079263 0.0202081762686744 0.0092803231019197 0.00160269994088317 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.140575267392415 0.0898926091907909 0.426827276146305 0.232167474550265 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.382402575997613 0.297744922718638 1.06774985421138 0.614742125396694 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.521932644407314 0.343449097208903 1.25196890902494 0.486747218960631 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0486593118407306 0.0259318286268391 0.025966437762403 0.00462222957795162 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.147193687441818 0.0943941104513761 0.434256530305062 0.236917152371478 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.386220288058195 0.300690698363149 1.06719346418812 0.628046091019624 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.521823456209057 0.348066073167656 1.2446627799302 0.499195781305699 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.106018716822386 0.0551189686454894 0.135105921195854 0.0424020518003738 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.178128739277634 0.116064252445925 0.486845894311778 0.274377557960114 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.399462311624733 0.314770295192516 1.06974341022465 0.683738606816303 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.529897099167127 0.3704894597258 1.23588343643463 0.560128986036422 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.160973351141928 0.0919945053257576 0.307112160336613 0.114646919541421 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.207284715886055 0.141240761599282 0.562830930198293 0.326187052535688 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.411779843535004 0.332087669447589 1.08127545897608 0.74501515645634 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.53787816837675 0.395065479848309 1.23673314383995 0.62533724090185 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0488159872499308 0.0217823972722133 0.0193272442294338 0.00158865078787176 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.143411191037413 0.0887540839234517 0.423456254450578 0.230998608105239 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.376808221826035 0.295636323796663 1.03536197780047 0.612795136811751 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.51606021445124 0.34325638711329 1.22893490830201 0.487229231503191 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0728309117084737 0.0310380542412348 0.0565331833821027 0.00413564693889179 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.152658020106738 0.0924164036818015 0.427832182205486 0.233510969018161 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.376870283249875 0.29916566781194 1.01371942539766 0.625523826126127 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.510983731788857 0.347610811800556 1.19824950015402 0.499466878638006 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.122122022641086 0.0548836617838634 0.184628230086888 0.0169317943182242 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.1773391828366 0.10244645537077 0.462447872562858 0.24301478930177 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.378117256380926 0.308290770913095 0.977493898683462 0.659761887648957 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.503964088002327 0.356686120037285 1.14245478919419 0.523797753301309 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.294053442841525 0.45789345246873 0.859898166852929 2.38041452062908 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.308701538065746 0.394145619979928 0.807281652560632 0.761962684788052 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.448594734424253 0.487499128305361 1.06581031953145 0.921881814237248 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.51428902262301 0.487659152656201 1.18004385326091 0.71817490734362 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.4283407468314 0.705452191703722 1.3422695443441 2.8667549978712 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.381228790623506 0.470416340230188 0.978098706515494 0.653776812930155 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.591255286478951 0.446324115160468 1.70583239577433 0.615810795679291 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.675387643822554 0.417002678688661 2.04832327816577 0.548653531596389 NURBSSource NURBSSource 21 214 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0296336483749859 0.0256121945048195 0.00267470385237319 0.00190670742075064 NURBSSource NURBSSource 21 214 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0520697628610126 0.0870157482708935 0.0388834846806504 0.115315341632946 NURBSSource NURBSSource 21 214 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.252121095363844 0.24069833285289 0.563552563408579 0.352166729983625 NURBSSource NURBSSource 21 214 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.393827577068058 0.261408747001585 0.862211483197322 0.310655206453397 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0322416208479677 0.0263130010299563 0.00338463172443174 0.00198592028133434 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0528506759282752 0.0872003064877292 0.0394710001358769 0.115076921819494 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.254105832417937 0.24051210772103 0.567691889945785 0.352168873972739 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.395414949706193 0.261008443288131 0.867839120120187 0.3108778392451 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0362021142605905 0.0279306917794353 0.00477615689321675 0.00225516094496413 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0552084341388817 0.0876988930189374 0.0406306738947138 0.114906278823306 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.256711132486325 0.240480051793786 0.572787100704867 0.351891687958922 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.397665878875386 0.260847632715671 0.874444653555391 0.311357831686033 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0459744557297283 0.0335012334375979 0.00865494276641469 0.00399534528988574 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0602833534277533 0.0903580654618704 0.0438347113611705 0.118352878757112 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.261598473425674 0.241110165520299 0.584075682275885 0.351561039918422 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.403522310949151 0.260568953030666 0.890712437788903 0.310988692044813 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0938479901204116 0.0677027913240005 0.038430132477118 0.0467306300793892 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0793571542125877 0.105266535787819 0.0605105745184331 0.132770110118051 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.28686699880052 0.248585472558967 0.656026246501609 0.360362794531406 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.424551959993998 0.263601357424688 0.960735583950361 0.313180187331415 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.14113243485132 0.113328046609915 0.0794018789826326 0.183188456025405 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.103757130218318 0.124059855336837 0.0951247871760811 0.162281145135892 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.306670228876541 0.26265347558631 0.713313689486262 0.39221556763579 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.449488330914511 0.266225945319711 1.06700704285215 0.316533128981483 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0395268441882686 0.0302545673371973 0.00724083484584569 0.00295075453438499 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0584925935742028 0.0909967429583008 0.0413912045098633 0.117628763974033 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.262007878698998 0.2446869844931 0.584106827543854 0.360465691184375 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.406334972465849 0.264912169456839 0.902606901336674 0.318002580162031 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0530828653338597 0.0404720264343891 0.0173408573150693 0.010870280549057 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0663600178798946 0.0979871316311925 0.0463988534883362 0.124693275446815 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.273693579836576 0.24897547015337 0.612317208563953 0.368293197238171 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.426914153318693 0.268649318460681 0.961341814288713 0.323814003703565 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0884865506439544 0.0667873150360899 0.0639393187001774 0.0628295917421562 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0864435915194989 0.114573602730032 0.0707683474193861 0.158296680485927 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.296358025873278 0.260796681006109 0.685602792240616 0.391182762792924 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.463506104908493 0.279268941427511 1.09024422334829 0.340748367031612 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.257421762156526 0.187666128505334 1.04278722465282 0.414601703124248 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.200266412889464 0.187905789490548 0.727811440893432 0.43853037789593 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.385085357867101 0.330013974879999 1.06915174462426 0.605226619107725 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.587985098400937 0.320774227679785 1.75397601093448 0.441143708952176 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.438032398167226 0.433010117027228 2.03791643310954 1.47211030916225 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.266943500179936 0.279183523577352 0.897358118437574 0.606755601290456 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.461822631696488 0.384474085467393 1.48355434993452 0.706832407242897 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.601960795518686 0.346264364576953 2.17667660586627 0.554335088944188 NURBSSource NURBSSource 21 215 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0451942509905855 0.0192266969505583 0.0127887792254559 0.00127649809419162 NURBSSource NURBSSource 21 215 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.164046645381078 0.15582140017406 0.272404782684226 0.536472824263917 NURBSSource NURBSSource 21 215 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.449125678868291 0.48413558948759 0.797295283638403 1.19641238732077 NURBSSource NURBSSource 21 215 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.603362696391142 0.637049533767427 0.994106313024358 1.37139210021992 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0464088095841989 0.0198260130769925 0.0130815237369803 0.00137058386341423 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.164459562001352 0.156618214919837 0.27387481851072 0.539347087951527 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.451939874795605 0.486305693476741 0.811225731178474 1.20321472133175 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.604828215297874 0.638548411869878 1.00095479415529 1.37576925139621 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0490549833888256 0.0210809033416783 0.0138736487969104 0.00163145457348635 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.164781064004653 0.157302092148934 0.273371932821946 0.542878134647223 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.455064034672157 0.486231984799395 0.829260630151326 1.20732550834365 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.604707253578915 0.637902589610199 1.00578542509846 1.37642464246647 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0576489289534409 0.0254208605350357 0.0170339753580169 0.00277385468068995 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.167677658761233 0.159467460061763 0.27609555418254 0.548910457096457 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.459505820517901 0.488871602257904 0.849697572038059 1.21711180588812 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.607876942990146 0.641055199296823 1.02245908818679 1.38520463631638 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.108525301945774 0.0536081997551353 0.050782701396849 0.0228126617561719 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.182157563693113 0.171639657419352 0.292428538693814 0.575138621746922 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.472405894928052 0.498225294560663 0.888338307789624 1.25112566527388 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.620479659513387 0.65425205763314 1.09758173016917 1.41875549743679 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.163175138155722 0.0870339050513577 0.107487867888142 0.0808063276407032 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.199406799915457 0.188533349882014 0.32244930086115 0.606535149661214 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.485070722401122 0.509825165369327 0.952589671675559 1.2851348440818 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.635749373543267 0.665346992253317 1.2145110607275 1.44185176122097 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0587349789806284 0.0236233374820466 0.0240708221652661 0.00211518922950272 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.167376597844091 0.156468026155581 0.279734442600679 0.536547475986237 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.454898333388465 0.487686244719919 0.819446957761786 1.20765950423628 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.606977856658742 0.639210696939019 1.02180373664729 1.38430953855323 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0798729597949718 0.0334129512890805 0.0514461497152206 0.0061567576097724 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.173774141987704 0.160107072663707 0.289859192040457 0.538198418651066 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.461594803327596 0.492696751477288 0.84233277691036 1.22329589924011 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.609701099788433 0.642415233298758 1.04025061312475 1.39478722631896 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.132918760150122 0.0633864956692352 0.150871916839703 0.0460500124229544 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.190144908581466 0.16885203066914 0.319150878898951 0.542342530934826 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.48140342392486 0.502891619780548 0.922769574994742 1.2568592507154 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.622474717210571 0.652746471090659 1.10517669563467 1.43989253909667 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.341561680547576 0.186704769899349 0.877294623108281 0.359960952901648 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.279192417237082 0.227504908936444 0.602986916045059 0.605170903549963 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.562742070261759 0.644583554982665 1.37442965129264 2.17235047149408 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.703189188932983 0.803442875635478 1.51854440055551 2.35638295324937 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.512117416044553 0.365675546397807 1.70651414047123 0.814066336101916 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.38131497867733 0.287173752347837 1.06591598464315 0.684382311717023 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.651219389680748 0.725619319410144 1.85434347603799 2.60433293234241 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.801128081247905 0.891643870599951 2.15420057076531 2.72301798289233 NURBSSource NURBSSource 21 216 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0496195321348711 0.0332517426343609 0.00748024082357277 0.00269669584857332 NURBSSource NURBSSource 21 216 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0555791746892874 0.0378911738536407 0.0210660226118407 0.0163764247551309 NURBSSource NURBSSource 21 216 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.212384410498992 0.135911219738136 0.213270296401868 0.0855873670686305 NURBSSource NURBSSource 21 216 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.365604869111717 0.183415325943161 0.46225588647405 0.129497598728479 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0511615038845102 0.0336427084693584 0.00812916319659759 0.00279880391376715 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0569450092765423 0.0384924261975226 0.0214372229337569 0.016756868039269 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.213908885482831 0.132971219355287 0.221310020336391 0.0839273350501139 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.372024856729571 0.182620359561518 0.480581228431724 0.129725249009035 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0545520919012831 0.035502057683981 0.00949604777010247 0.00314573543371822 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0595140301957523 0.040633963289051 0.0224914459958997 0.0189099450129441 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.219460889853518 0.133569433027524 0.243105493134224 0.0851718745958006 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.383924315528755 0.185046502625543 0.515507060476576 0.131820066982225 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.063570198698646 0.0422244312685645 0.0136453290007889 0.00459798397277034 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0655432463484429 0.0453520612670276 0.0270022060943774 0.0272416670438582 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.229055521315678 0.137233570555174 0.271368137073353 0.0952956860324843 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.403800498131197 0.192934707898491 0.573851031379306 0.145854701407388 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.116057207402765 0.086771911582482 0.049511564244146 0.0249771600337929 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.101304594903478 0.0646084333214981 0.106549274349659 0.044624421796816 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.276346758813863 0.155328732400256 0.383539669676068 0.125553613244517 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.46365281534064 0.218698312968726 0.790146038608356 0.198090477606317 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.175451497999321 0.136554294488705 0.11868186128515 0.0708518027082454 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.136043640996678 0.0847898834697004 0.242452884627289 0.0472807125725264 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.310925549961789 0.186641367917488 0.465683980438727 0.169810905775383 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.498146751150974 0.245545537643855 0.913147657978835 0.219790393643154 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.062512352830822 0.040288322302192 0.0142359888380032 0.0043792661541262 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0691372573537716 0.0436635142908192 0.0413694468720552 0.0190984234695132 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.221383289850293 0.131752548895488 0.248563876714055 0.0811357403848937 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.379142259814825 0.179495469140003 0.51798340508959 0.128780092087048 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0818002388280619 0.055982615997735 0.0248425489085742 0.0148492856417368 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.085756724738219 0.0487088461453202 0.116253656157746 0.0209989577904822 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.233918524404706 0.132512274292786 0.289869473944548 0.0814368334372031 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.392114280656192 0.180106691519239 0.571567086656194 0.133161893694875 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.128585634090284 0.099784194165463 0.0586634206016863 0.0852523778302234 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0965427936153042 0.0605836976751906 0.106372869975205 0.0266180619401299 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.261469579899601 0.135421406354272 0.398506415793669 0.0881235590164522 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.428704164801327 0.18520465743566 0.72546328945276 0.152402553567586 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.324409092587923 0.294150183193515 0.359518903540778 0.683285293267537 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.167929935288834 0.147150382939095 0.133184178927582 0.178189366351256 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.405620352014527 0.246477856104066 0.801598030361225 0.36814802950781 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.673210701214443 0.318312563923169 1.56739636549741 0.438089166401156 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.543120122946719 0.777479898225933 1.00549452523742 3.63325519342727 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.448095423907191 0.389694117709773 1.14457705220473 0.780107750217224 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.73198038199674 0.410121434174974 1.95512749174245 0.759152042066879 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.965930514531963 0.395430247089883 2.81335174890866 0.611848823757972 NURBSSource NURBSSource 21 217 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0204084399725413 0.241047687845782 0.000972969892391668 1.03762517142319 NURBSSource NURBSSource 21 217 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0291166691577033 0.535760783226897 0.00348655481117632 1.6807200818842 NURBSSource NURBSSource 21 217 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0748221210322671 0.904720285524788 0.0170347815060541 1.37496264612709 NURBSSource NURBSSource 21 217 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.132742964970395 1.03155740441003 0.0323384136862534 0.908107761359048 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0214234259259282 0.244040855221062 0.00118227248418653 1.03875297902131 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0292583638314311 0.536372264789946 0.00350075412141544 1.67714638871727 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0752317021833436 0.90569319126636 0.0172105180476145 1.36521641952832 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.13294346144989 1.03060650807923 0.0323589904166095 0.901042816856438 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0228278383778097 0.249680420074579 0.0017662664558152 1.04543347873332 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.029583410363894 0.536820160459471 0.0035551357117202 1.67340487567311 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0760703991054449 0.907440977032404 0.017530723567058 1.35987800693362 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.133285076512103 1.03105718187504 0.0323569506282666 0.895924639893676 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0271249591335455 0.261828902916936 0.00409944186580139 1.05272184354691 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0304931758222906 0.53974948461336 0.00378938671737758 1.67044783521841 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0793598290145914 0.911402396961525 0.0206075619041909 1.35553665702918 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.134863641885099 1.03532837484565 0.0334603892103456 0.888492800687437 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.053711507846964 0.327927023120713 0.0251248750529955 1.35918137819094 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0409092390949604 0.564851920713254 0.012465803395652 1.71997762173085 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.140892935714296 0.88071499786938 0.174318803819235 1.48771760156932 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.180191201335665 0.987597928314225 0.109643757197714 1.26110530212333 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0940054901015953 0.476180685685634 0.132695399215729 2.93752034435882 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0567054688198405 0.641828788055085 0.0413910853324895 2.27522329849141 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.149648336093719 0.940290312822452 0.182520345003783 1.87312994296687 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.185762760207775 1.01378465937334 0.179312627859945 1.41228220633435 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.033404916535088 0.258440511645743 0.0151383393158974 1.06504005366972 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0320585447225658 0.550136224294516 0.00466288076281818 1.72327733000401 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0792754228945945 0.919418016648126 0.0204274170098264 1.42452567163183 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.132423462813348 1.04054486984436 0.032120735363103 0.930878433147787 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0535732253423225 0.280651186671711 0.0569339776574514 1.09111764964341 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0372360626073063 0.565542785460102 0.0105407461194436 1.77282640867486 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0846137662783243 0.933439362124372 0.0263394520551917 1.47651156440627 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.136619056876712 1.05180973568288 0.0357271253348348 0.95703152938323 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0983114931846709 0.338620344644065 0.233430262608776 1.18325321480082 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0505852135528874 0.599259720104631 0.0397552709118178 1.90475351481901 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0945777543160702 0.967059771929384 0.0438689101488286 1.59369010938164 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.142081313827646 1.08549245022924 0.0426730510455627 1.01917588129145 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.229895193214912 0.612290504428417 1.06143865459965 2.92436889817507 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.136995388583357 0.767061834995366 0.386348551887391 2.71201912072537 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.180571814085416 1.12479071677802 0.346286054031697 2.11328186871307 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.200529331897846 1.26086721310645 0.19902525011862 1.37890093049091 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.325408264518215 0.786635297987425 0.760063079821165 3.29019270326124 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.223304372018339 0.868286600394606 0.67938213614747 2.88055324931668 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.226408874803306 1.10338625130558 0.482574066359527 2.23071856474943 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.222169015993027 1.24520123675426 0.289203086001523 1.48993107879722 NURBSSource NURBSSource 21 218 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0213520792798426 0.114781315286098 0.00680561545781172 0.290610850482398 NURBSSource NURBSSource 21 218 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0571099625299019 0.400336441842865 0.0324906332392134 1.27751166825925 NURBSSource NURBSSource 21 218 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.126467283925741 0.774667707907089 0.0619569682219894 1.4800064279204 NURBSSource NURBSSource 21 218 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.184187928521495 0.903299748415984 0.0767623831298956 1.13604210051848 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.021970138451692 0.115401631246527 0.00687436645532374 0.288640422254121 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0571215387314912 0.40160622013815 0.0317912310836012 1.27804151678603 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.125802275134956 0.778335484626762 0.0601789239788676 1.47229664321784 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.183428831886479 0.904405430885959 0.075080876437489 1.1203456822873 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0232639722809907 0.119839304049648 0.00713751107761903 0.289146629227429 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.058927964689664 0.403004597855827 0.0330058639035655 1.27760394347303 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.125345947753682 0.782999243162392 0.0584714764527574 1.46521926791359 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.182687216413722 0.907933885725824 0.0735070248252574 1.10691577981474 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0274523681161096 0.134293083133783 0.00850474341375303 0.296620037758037 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0636002395577264 0.407895591162518 0.0475463422729916 1.27843991790843 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.125357218558127 0.79301524099882 0.0565603245131705 1.45495727664172 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.181768500120663 0.915677464136645 0.0725526978177386 1.08490840041422 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0501628642836034 0.214286434345447 0.0278284865279004 0.396862061159413 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0814147517039348 0.432059633079194 0.169762844999446 1.29420479756593 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.134371628073737 0.798772076875249 0.0873162845554472 1.54935570945501 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.168519723288175 0.861892574368971 0.0766779163219116 1.14247143098787 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0814145264441199 0.309188597743351 0.0712079036138033 0.635290849105315 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.144520560328062 0.497537105361114 0.445642140172015 1.66423534321431 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.245389836975928 0.917545744875344 0.35815423451333 2.79056430280071 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.183886610817665 0.926822260600929 0.125852036544066 2.28839265132267 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.024470753475259 0.129502527550157 0.00693808902436787 0.27379812232988 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0581379582206643 0.403146618820593 0.0336955147399001 1.24473966751688 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.12785456892058 0.762243174715525 0.0650021786635873 1.49064142585334 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.186151400290698 0.885013400520654 0.0798168209603886 1.15462124543383 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0366565726328293 0.180232112007342 0.0107530966426918 0.385476104242717 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0616941041787177 0.43517845103382 0.0353485736417274 1.38604128172741 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.129879725008618 0.778578633287768 0.0683239412126925 1.64059393810821 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.188913536216596 0.893156927283728 0.0825437155288402 1.25662048302968 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0578904730521267 0.244628817544326 0.0259999740774816 0.441670706744118 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.069676674110594 0.459994316598893 0.0402992120651262 1.40483851745968 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.134201386413758 0.775552261786773 0.0756156001207945 1.71663795875191 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.196485651037773 0.884042633680792 0.091752133599857 1.35135525338918 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.620311228897897 0.553178185981818 5.6470895843896 2.04550256778049 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.30345064491088 0.608263874934902 0.651779601604446 1.82229974952608 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.25698331619737 0.894007443431412 0.314548583873058 2.3864859767254 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.274301118491463 0.918052648124235 0.266490113318647 2.08251158452872 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.800811516181014 0.791257810523539 6.55440437289776 3.29725454365119 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.443430817296706 0.810781085998936 1.32541554422788 3.18516607822909 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.357233498459978 1.06533912506105 0.652686231886816 3.25314671720385 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.321518385659118 1.08872264362581 0.457726171567642 2.77018744801126 NURBSSource NURBSSource 21 219 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0419619487204023 0.0962221430663236 0.00493871471556221 0.283748676438965 NURBSSource NURBSSource 21 219 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0570697220918953 0.32944516002227 0.0629025032612105 1.56136498110192 NURBSSource NURBSSource 21 219 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.157237552525352 0.60495470040347 0.152495830959228 1.69206267133557 NURBSSource NURBSSource 21 219 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.263784043418841 0.800423800226047 0.221105754692401 1.26855150940171 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0424046968913824 0.0973203870267228 0.00481784505179664 0.287297336923537 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0575389612066576 0.330292792747876 0.0629122427892591 1.56338107054248 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.157751049522672 0.605259326804063 0.152999851639804 1.69405288445014 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.264012860711096 0.799336882581757 0.221434683271973 1.2671800917913 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0452992621912882 0.099121014315894 0.0055423745487645 0.29134194827907 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0584045141870112 0.331277302578874 0.0629950144814982 1.56569563259616 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.158575708207411 0.605641978096253 0.153130013818259 1.69423320905137 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.264389571868386 0.79919618528581 0.221551787199577 1.26809761733473 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0534699658542707 0.105535910446847 0.0082158526921351 0.301355663870341 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0612352421740152 0.334005084278052 0.063741961281605 1.57215671173125 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.160568463425486 0.607656234022581 0.153857785393121 1.69837853983786 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.266751675960272 0.799950763364921 0.223013352902341 1.27024343550442 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.101916855065867 0.151293926568347 0.037309649129063 0.387074791580555 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0781433762945865 0.350634888165798 0.0715311765369861 1.63778877264679 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.169924100288808 0.619327939966635 0.163520292618139 1.72697860422095 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.279022605677781 0.806829521581593 0.233470592988712 1.29111531683891 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.154902041471311 0.212963954392735 0.0922946724217932 0.59019356723947 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.10240787894566 0.372094280687804 0.0927540074872254 1.76745404092109 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.184551166934734 0.634937550724217 0.175927085362004 1.78972178177501 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.29571985980238 0.820423684725614 0.25256479370885 1.34667104094021 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0501277048776584 0.103155537560226 0.00825412775994217 0.288459485822684 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0607619424897164 0.329925438989152 0.063424385552567 1.55667536682849 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.161868901415706 0.60604528884889 0.153600155530497 1.68784337514876 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.269629403897216 0.802214097679516 0.22435467048866 1.26811274313297 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0667760474848826 0.116778867309076 0.0187239214443598 0.301061548167762 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.068144622203368 0.333639873805642 0.0664055170509625 1.55470527635195 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.168487787746177 0.608848585691262 0.157815561890526 1.68433867031921 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.276894713498486 0.803306213864316 0.230373943710322 1.26797519992234 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.120018709351865 0.152503305805415 0.196259891341303 0.352098564064405 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0860476167595711 0.342775926809633 0.0761610136121951 1.55618601328283 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.187225943541506 0.617193175895615 0.182956601033169 1.68464937893691 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.290097107825004 0.806542731435071 0.245774846888606 1.26718411825101 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.293699765001045 0.297662192170561 0.914817198245785 0.594508160096084 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.182245055680205 0.412658793153191 0.318218551982661 1.72289624638575 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.274981488920793 0.665489821653185 0.471828792536155 1.84271229099308 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.354393113203229 0.833246677028871 0.38471567056076 1.42805878413038 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.59128465678886 0.468162933844707 3.72754117658447 0.987663976531638 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.35846279026343 0.45491024985691 1.15321562796111 1.74820230617223 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.37917134503523 0.646497784174681 0.833102451769701 1.70268237546344 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.437946787936365 0.730667638947921 0.749113751617054 1.11459033214583 NURBSSource NURBSSource 22 220 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0491542562009922 0.0295145653573536 0.0066283926469663 0.00285308708032879 NURBSSource NURBSSource 22 220 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0347284660565036 0.0100008113005186 0.00437156223841725 0.00039726994106061 NURBSSource NURBSSource 22 220 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0685469183892089 0.0142693361044487 0.0179566516750714 0.00113578161191838 NURBSSource NURBSSource 22 220 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.11428643789566 0.0253627568665543 0.0468106274470607 0.0035276546638371 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0505209891176634 0.0327724557861512 0.0071213037120942 0.00339231226959493 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0353226208763631 0.0110491974495344 0.00444911018080921 0.000468298180689148 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.068732086851854 0.0146348775036268 0.017992364738522 0.00116641715185373 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.114339077718004 0.0254072934344082 0.0468451102899551 0.00353148063043286 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0556375578473031 0.0402783430512099 0.00880247712588073 0.00490824895035642 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0369582805653146 0.0136826185713076 0.00466371859077201 0.000669042950682963 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0692655646557427 0.0154937711459485 0.0180814160029114 0.00124264649945327 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.114455668637677 0.0256325394035755 0.0469008289583731 0.003559640793211 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0739463184496849 0.0616775251143704 0.0157618101036464 0.010818896835041 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0421269882788118 0.020983989883907 0.00546025300253409 0.00142266619143619 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0709683791589801 0.0181507167697962 0.0183834258786034 0.00150824581456242 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.114894845335048 0.0265544772225569 0.0470728442996463 0.00367968958608558 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.175664750628376 0.165813366479394 0.0903606494451221 0.0699372234743993 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0715669196442868 0.0557023205670055 0.0132465428064087 0.00876391040956247 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0818218311259461 0.0337596474614826 0.0209337654643037 0.00389181878238249 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.119341196359942 0.0336025759153221 0.0485348524210763 0.00485272970742761 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.282651605205926 0.274576679046533 0.241530298851332 0.180263635382182 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.105495161001344 0.091808349644195 0.0284961693066473 0.0227769872886374 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0957926006239208 0.0515360759460492 0.0254637985980229 0.00821391769655218 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.126154230389974 0.0429369773481575 0.051042114657523 0.00692433650981537 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0676219945509603 0.0529360598918132 0.0131220400750345 0.00813445187245562 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0398718254373224 0.0178911613796427 0.00510094055529161 0.00107124614486221 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.070199185680199 0.0172839810621857 0.0181523790972952 0.00143007076880692 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.11443607332861 0.0264234975702651 0.0467760207066242 0.00372774134181228 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.106734814483872 0.0924800919383406 0.0328256071572105 0.0230975717808274 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0502876570171737 0.0311328081117403 0.00710599799300729 0.00294810527714534 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.073864807476748 0.0230887100075167 0.0187839017768836 0.00213966701651346 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.115395314946574 0.0289031833461159 0.0469679764149332 0.00415515763597898 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.195992249615244 0.178241425586237 0.112414414878993 0.0802936798864897 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0756496717963546 0.0597956692922613 0.0147346689886847 0.0100826256871849 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0835622740029832 0.0370236047702264 0.0210985608279298 0.00461427239902006 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.11897534145204 0.0357362190104554 0.0478637381639142 0.00553351150932732 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.554988421291426 0.537070150174332 0.990315870874055 0.619080563553716 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.190183652595435 0.176939129056343 0.0941380184282663 0.0803874260995476 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.134835271853883 0.0981213494250334 0.0435139153871382 0.027728709708691 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.145250457561013 0.0713512110087135 0.0582146703232181 0.0172848004998248 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.900898740715249 0.912150889922701 2.79972688247581 1.57537276749619 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.304417587817849 0.293341105190782 0.248500071098329 0.211779843899583 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.192651602599003 0.159594686199326 0.0849221507302444 0.0709956504840456 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.180244215038605 0.111019809254848 0.0775694021680109 0.0393767749420622 NURBSSource NURBSSource 22 221 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0278316212929583 0.0167739335103775 0.00213851381557453 0.000481705769114889 NURBSSource NURBSSource 22 221 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0189428872667051 0.0202607562762177 0.000456846371210151 0.00163491321116746 NURBSSource NURBSSource 22 221 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0403639257227728 0.034520566007384 0.00135480324617263 0.00396048736586858 NURBSSource NURBSSource 22 221 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0638008813663373 0.0444095745833064 0.00366532849836635 0.00503525165430121 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0301766652738166 0.0215752924738588 0.00246075368228857 0.000859604293174138 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192405682723191 0.0213227645639394 0.000481111503447125 0.00168352000669398 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0404009985875048 0.0348995922070355 0.0013606326773101 0.00400405251022003 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0638339712346823 0.044727258162258 0.00365502703185163 0.00507132179025505 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0363780354953894 0.0310144476468678 0.00343260313004987 0.00200425791457972 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0202505616719531 0.0236894955332095 0.000562328952013824 0.00181176219136273 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0404755250067052 0.035636168232938 0.00137973514950985 0.00407471583073748 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0638746828733465 0.0451553353196602 0.00365007878070752 0.0051226697587772 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0527294580711028 0.053618789899227 0.00718835425708777 0.006675200121225 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0239841232745433 0.0298108985233169 0.000904421437315187 0.00232247065105848 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0408392507164211 0.0378971486961685 0.00145925185083007 0.00429578745634413 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.064028482903574 0.0463092744707905 0.00365763715656764 0.00527104856377893 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.130766458003183 0.152004007857864 0.0491913302553187 0.0563660586124924 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0475723726132151 0.0600772435546553 0.00491965615959411 0.00820197952841786 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0458826708969646 0.0510851016952585 0.00234243311292517 0.00631806793868122 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0655429155418852 0.0536955198618884 0.00390576992162904 0.00647606561001075 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.214056331288891 0.251284300577353 0.140907546649935 0.15038392580427 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0747385790063921 0.0930453122211104 0.0135273966254158 0.0202378215463445 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0554364838586511 0.0674737515041546 0.00422035531916375 0.01032624239112 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0689989448884504 0.0635707250959686 0.00455144700230329 0.00868527399992429 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0458293946667272 0.0473525766006663 0.00539299190178521 0.00513972989438569 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0226265315602491 0.0277674535247739 0.000786650790058922 0.00212365398709511 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0405627081933116 0.0368542061178277 0.001423629788291 0.00421238455175848 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.06389883869846 0.0453720349513835 0.00367757658211995 0.00521238561102747 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0757651788124125 0.0898599909036623 0.015278799541971 0.0196586591239898 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311787947634324 0.0397271990537168 0.0018150533612682 0.00366581246503077 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0418314843010066 0.0414982297854893 0.00165070919796471 0.00474267988997093 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0642371401987568 0.0473131385145832 0.00375095189562833 0.00552062429104022 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.141762463601849 0.176134110144849 0.0573950237148649 0.0756590155465468 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0524923166346079 0.0667321003978797 0.00618317185247341 0.0100835300656688 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0478494051070941 0.0533644597220055 0.00261356561138817 0.00671247533329332 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0657829410584599 0.0530006648491382 0.0040860617868868 0.00652114495194434 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.420496942168353 0.501924837532923 0.615737651729341 0.551149885676255 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.144769597415116 0.181120797025303 0.0556521715954703 0.0779228310058071 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0883200218381142 0.108798922464871 0.0137539161448165 0.0268771298963109 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0836046967311665 0.0854048733806572 0.00799219765758825 0.0157065096962656 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.707731006220101 0.811171562680633 1.95992566866002 1.25198811775163 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.235863806312421 0.291940795188883 0.160582028349136 0.19769304007431 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.135386075902995 0.166637726435904 0.0367414589721186 0.0656774984350403 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.111266140667895 0.121319106548396 0.0159083163992634 0.0335763222197849 NURBSSource NURBSSource 22 222 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.023708177310236 0.046755029389003 0.00179674950762169 0.00418010939322086 NURBSSource NURBSSource 22 222 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.029591488378318 0.0645673768535246 0.00376835249814088 0.0204484283760092 NURBSSource NURBSSource 22 222 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0564210489936681 0.125447336905878 0.0138237016289927 0.0864714021258957 NURBSSource NURBSSource 22 222 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0835252310485079 0.184911167438162 0.0292582401169084 0.190507433929103 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0253721910967848 0.0481356291441198 0.00200916341570377 0.00454165475206159 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0299846547738756 0.0648872328551845 0.00379480769311888 0.0204693986975611 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.056477421362605 0.125666337958277 0.0138229341640583 0.0867277490841007 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0835184591374016 0.1850624983861 0.0292545715499568 0.190767851902407 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0293030466830878 0.0521109209299033 0.00257391158597343 0.0055562629797308 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0308872027504755 0.0658363514723912 0.00386167811370505 0.0206181992351929 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0566886085410165 0.126002618782402 0.0138392601483025 0.0870439866280752 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0835652878201145 0.185252771339503 0.0292570852989311 0.191069674787375 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0407445589817676 0.0661406318296708 0.00477152521700381 0.00965720583254983 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0334385433155484 0.0692433225919691 0.00409518912287169 0.0212607476447358 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0574154214196468 0.126916643286511 0.0138647960116083 0.0877434790733398 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0836952101028249 0.185545676716224 0.0292102978139058 0.191475404943725 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0992630871252565 0.150183780073914 0.029045783943443 0.0540356481980364 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0482235371646493 0.0904034068855979 0.00663435446162535 0.0275270024111333 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0628071007825304 0.134820201943496 0.0146239470090873 0.0931404923670298 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0858438273518705 0.188618134689592 0.0295201487262722 0.195776816757496 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.161281177942934 0.240786383288981 0.0799382810121349 0.140202670847766 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0659751629518048 0.115128624234486 0.0117914164989488 0.039150962278582 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0695885475994338 0.145320746903529 0.0160899158622488 0.101052173004709 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0889969905711868 0.19310725315253 0.0301412032151518 0.202035168544465 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0359991406440993 0.0604985684322209 0.00378239977631902 0.00791105176628659 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0323293509039578 0.0677572899481509 0.00398929606334296 0.0211187626641481 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0570309755777396 0.125735607042342 0.0138808566919935 0.0854782331829726 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0835463188760706 0.184888642009062 0.0291369195989583 0.188743880166849 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0577262101036834 0.090338418303137 0.00971753505423004 0.0191696731058948 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0373289577044051 0.0749089600911682 0.00460272415700136 0.0227954211175201 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0585780611563089 0.127250033460604 0.0140647958572863 0.0849779026600399 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0839307355378506 0.185208908733109 0.0290576957198301 0.187287954475504 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.106128298412939 0.160680595462094 0.0342850468215465 0.0638460222980615 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0498544285508509 0.0930719428485004 0.00703891899197497 0.0292017087982847 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0628508480966436 0.132937328137411 0.0147568401866947 0.0863094800531856 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0855047417367159 0.187248910602407 0.0290860186936208 0.187171792894422 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.305504537516873 0.451421934044616 0.318812022386352 0.489180846762463 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.110185290943355 0.178040797988087 0.034338251535853 0.090574965564953 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0864098078397386 0.163519958442774 0.0218493486469575 0.104517212675236 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0965228880909788 0.199715093596398 0.0312150690743151 0.1934398441841 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.51643129027555 0.715546029824381 0.993070366015992 1.13513642808674 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.171925267516131 0.271593416885391 0.0886587755664457 0.216889892015352 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.113584256021689 0.204247556165619 0.0358750319641987 0.158886629748826 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.110212648721593 0.22020725909531 0.035732703191652 0.230041098927483 NURBSSource NURBSSource 22 223 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0206233719837068 0.00964931012928854 0.00158616898267654 0.000298738821353296 NURBSSource NURBSSource 22 223 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00867615193613089 0.00635201510313195 0.000457631256308509 0.00015867168397785 NURBSSource NURBSSource 22 223 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0140976017712647 0.0120232731566089 0.0010816703237057 0.000626538343131629 NURBSSource NURBSSource 22 223 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0231754905294742 0.0213196569623135 0.00207029075073507 0.00203771881547287 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0225352398249867 0.0123394254479091 0.00184416726498141 0.000445796729155052 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00930049492156817 0.00723667533805727 0.00048399951903833 0.000182411568694228 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.014233903913478 0.0122697304864537 0.00108709601657337 0.0006372933906716 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0231570909596624 0.0213673751582402 0.00206990072846588 0.00204200231532703 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0270616756872574 0.0180251979080684 0.00256070436359613 0.000884534164331167 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0109874924113625 0.00889697708004668 0.000567673582284524 0.00024372114967824 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0146543420114622 0.0128014176308203 0.00110866348488248 0.000663161510421711 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0232094538195178 0.0214915831461321 0.0020731142563157 0.00205055598655654 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0401761173276014 0.0316325569230485 0.00530142835718251 0.00259514078663207 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0156950076108889 0.0130843104901663 0.000887140341790056 0.000471775508644883 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.016055638763315 0.0143028890182958 0.00119604200708321 0.000751282811216058 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0236055300125782 0.0219877024972855 0.00210618944968186 0.00209580802305461 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.105569726699623 0.0903009612360278 0.033666613891942 0.0196461448287281 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0382461404421044 0.0329236404128627 0.00410598336011597 0.00277478789957091 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0256945861006856 0.0228415094245483 0.00212540795893456 0.00153595449036881 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0272214767723467 0.025615994291903 0.00248133516834709 0.00250061876159435 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.172346344913341 0.148816306661554 0.0906084147499473 0.0499209041865912 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0617768117534897 0.0535495009117534 0.0104818509835832 0.00719092565353462 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0375059446560176 0.0328357040199343 0.0039651697763366 0.00298148974318126 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0328852940427957 0.0304836941244891 0.00324437613274593 0.00320952760899983 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0357053467423958 0.0264868148571887 0.00425148054783564 0.00189112922036298 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0140230394672002 0.0115203287974634 0.000752584111400682 0.000385336084748857 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0155426534086435 0.0138041413098218 0.00118871136480268 0.000734861815422138 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0236777238264149 0.0220257601179011 0.00214366577301475 0.00213710387670158 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0617470943319822 0.0496931898970923 0.0118566394172168 0.00637037685766801 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.022802811855506 0.0192488395591682 0.00159979619186307 0.00101175999893403 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0188190243253019 0.0167944507920522 0.00145781612985825 0.000971518869375823 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0248599540935799 0.0233684530359675 0.00229079787478014 0.00230966442253679 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.117407992823985 0.0972782182443792 0.0418074554212086 0.0229079137285129 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0416895110601604 0.0360308097006956 0.00488962868896509 0.0034350083913321 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0276639832894507 0.0242626800830697 0.00247202449229089 0.0018044676320576 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0285561467379881 0.0270369529107706 0.0027756491169763 0.00283810195684338 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.336109838681376 0.292936513227475 0.377107432533989 0.163242039964732 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.118857553086718 0.104947769055773 0.0398686568431151 0.0270385228343475 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0683025599695978 0.0597500558603364 0.0127722456641757 0.00975797533709211 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0513840944142591 0.0466793932509988 0.00730094209549591 0.00715251109935361 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.555730510440042 0.509897728280559 1.1170814739346 0.414372418513939 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.193940924035536 0.173150278870488 0.110975025241495 0.0677237250305115 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.109161487183233 0.0959185880730856 0.0327579662711773 0.0240821241818347 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.077449550233693 0.0693578955310368 0.015829733773051 0.0147557606377804 NURBSSource NURBSSource 22 224 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0230095268050678 0.0166419710327263 0.00175719850253998 0.000883766524915398 NURBSSource NURBSSource 22 224 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0095288335247409 0.0118741694584807 0.000305835696074962 0.0005950539324578 NURBSSource NURBSSource 22 224 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0157067626620476 0.0212888975308709 0.00121854382251841 0.00314828287870255 NURBSSource NURBSSource 22 224 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0284133173383967 0.0354631437237151 0.00407764537554907 0.01030419683821 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.025243008180873 0.0196244850592584 0.00205765738584868 0.00106563157129534 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0100925502351532 0.0126611862151514 0.000334357641584022 0.000613876245712391 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0158548906712494 0.0215049317418859 0.00122647427182916 0.00316800762668891 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0284174061553977 0.0355586302456754 0.00407888341287091 0.0103497085925966 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.030271224009015 0.0254435443247843 0.00287593411229845 0.00157751929397046 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.011702248130195 0.0143798304410753 0.000421974032702969 0.000670344977544554 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0162809035995808 0.0220266214221385 0.00125255929225193 0.00320125533865316 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0285081423739049 0.0357704233384527 0.00408744245629021 0.0104039227898983 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0446479726782352 0.0395257088921116 0.00602808631503043 0.00356646994024223 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0164899128653181 0.0186569300746119 0.000770425311917907 0.000891578413215851 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0179207401041137 0.0236826860403876 0.00136268346540111 0.00330865881275553 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0289343519424539 0.0364528541658811 0.00412889613928195 0.0105372759370714 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.115585089738135 0.103259587496019 0.0395228345234233 0.0238698840392652 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0405868491683451 0.0384068920137606 0.00446218928996149 0.00326784823468825 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0285912553979573 0.032798908073813 0.00248625178481114 0.00420894668072859 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0330856183823307 0.0411871765871224 0.00460135211888737 0.0113563607312609 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.188762567592253 0.168372571403271 0.108468150255426 0.0604980783252317 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0660185474630049 0.0597274510087829 0.0119356215291285 0.00803173010864429 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0412289065703791 0.0429364263858792 0.00467031221852215 0.0058357205023038 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0392549288769048 0.0470925760248113 0.00550167758570494 0.01255507297016 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0389342257638618 0.0334774175802677 0.00465129562791882 0.00261311750424671 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0148626794391945 0.0171046952389922 0.000634841126065567 0.00079346308255975 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0173182525727882 0.0230610277678625 0.00133326197338256 0.0032580592058639 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0289042763752239 0.0360321660979089 0.00412110417111727 0.0103602841788892 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0662284260429735 0.0573352257806148 0.013076196858435 0.00762361995240019 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0241829409551687 0.0249037661478133 0.00159326500838516 0.00139965202861037 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0210822255194837 0.0265144696364523 0.00164425220538949 0.00350945659896142 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0302721407478076 0.0374489364926279 0.00425709051250046 0.010502423691374 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.12527454142494 0.109083253905052 0.0470007698370155 0.027004980617284 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0448145372771027 0.0419053226824186 0.00542073884847091 0.00383249554762473 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0305562496760455 0.0343993313018736 0.00274690216073653 0.00416506780284819 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0346954235177533 0.0413570607076188 0.0046707988883885 0.0104945376777767 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.360289490162991 0.328005112497798 0.433260191958342 0.205252888952925 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.129100479313507 0.115241023772062 0.0470065195645267 0.0294097510096309 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0741732842986649 0.0701143402238375 0.0143928486005745 0.0122717168605 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0605254973415929 0.0621446566689644 0.00978266390457493 0.0143602100834519 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.593501936707107 0.564402384488106 1.26712921668359 0.530981833803548 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.20971839176611 0.187913679895962 0.129953303313911 0.0749437999439284 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.118687173198175 0.107143961932484 0.0370177466525642 0.027524884070009 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0892528844876625 0.0839783471051919 0.0193598829073411 0.0213506476323655 NURBSSource NURBSSource 22 225 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0220446674068385 0.0141399434568402 0.00167774867057311 0.00055728147020627 NURBSSource NURBSSource 22 225 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.019237098397146 0.00646082390450007 0.000555333479072882 0.000143792994860582 NURBSSource NURBSSource 22 225 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0398428550889592 0.0109864132609448 0.00221000392903871 0.000632794458307998 NURBSSource NURBSSource 22 225 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0657503188250048 0.0205458688630182 0.00626529320281234 0.00253969685820304 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0269123504416098 0.0158409561230895 0.00230010404454805 0.000682197077886379 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0197632827131441 0.00685039043259215 0.000591365604465644 0.000157004584062733 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0398887519810544 0.0110736833326657 0.00221882363788597 0.00063797612826776 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.065699847151081 0.0205402889138831 0.00627570862801778 0.00254236098756961 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.03592601734278 0.0194470308559072 0.0039444558766021 0.00103518324038971 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0211341971163911 0.00784060578957544 0.000705971169685967 0.000195594466405932 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0400819117967229 0.0113104413200517 0.00224753525732238 0.000650858237373326 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.065699547704634 0.0205639594195143 0.00629580222163438 0.00254818532512444 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0580000758028077 0.0292222385283286 0.010146382143221 0.00242416605023135 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0258045372814194 0.0107373613387015 0.00118973664105851 0.000344952036102283 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0408250440328689 0.0122273064444577 0.00236760067635997 0.000702707975718907 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0658751399524089 0.0207386955703634 0.0063682122332462 0.00257259235582188 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.158023809890096 0.0767782030370821 0.0744442874076029 0.0165532888260639 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0548067310375701 0.0257778343156468 0.00683417775649484 0.00188992076569603 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0481019428712296 0.0184091818913773 0.0037102428792774 0.00120108722917671 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0684382320543378 0.022832174616834 0.00708377804386807 0.00281792858532748 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.25712853007284 0.129444360003729 0.200208959741614 0.0445085522816352 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0871393350723908 0.0418806108572304 0.018547703628098 0.00488851099604455 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0601924759155143 0.0258114872908629 0.00650746281582503 0.00212402468062754 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0733792744799868 0.0261993677407732 0.00846019674657218 0.0032574682153047 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0503537145423661 0.0253250972758417 0.00751839845042442 0.00183704430483399 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0239250238371908 0.00945674503038075 0.000970568731360512 0.000279571162551956 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0405873491262515 0.0118422701052622 0.00231867738073291 0.000677188700411912 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0657327135032469 0.0206960930721486 0.00630861406156094 0.0025446747859822 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0908071184392116 0.0435827413278376 0.0240968591779816 0.00551812389282306 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0338095949249192 0.015040908375152 0.00226839415076713 0.000678578936224428 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0428524700262368 0.0139537983485905 0.00266289991180438 0.000817108690387904 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.066184316822666 0.0212883743515829 0.00645878807570042 0.00261505820672593 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.17593560246278 0.0834620454154806 0.0908658965956792 0.0196269494222835 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0582896301698932 0.0276504424609965 0.00772003447713747 0.00223853762892837 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0505771313598622 0.0194400232107509 0.00408101958831061 0.00131275369253765 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0684629146944827 0.0232055249143261 0.007067068055841 0.00280015484782044 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.48153536937922 0.276575752583298 0.743028739626269 0.180519745205253 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.161820226225972 0.0809423904128704 0.0659945818958857 0.0176628957275306 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0984078304838173 0.0458137612371434 0.0195221187419872 0.00629618904831146 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0916656697428085 0.0360590840867505 0.0139749447513256 0.00498967710287262 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.733192104472898 0.521019118228932 1.90870539787931 0.542100829710438 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.256988131451313 0.13860079425209 0.171633367251066 0.0471452973068761 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.150544893913108 0.0752451898825256 0.0476718559094505 0.0163199204847575 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.124925452881543 0.0527112712092479 0.0266611672299726 0.00951444024461848 NURBSSource NURBSSource 22 226 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0421843887090368 0.0141533197847376 0.00601254548453054 0.000514539420145207 NURBSSource NURBSSource 22 226 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0148587361365099 0.00929783877211655 0.000295942219680553 0.000274564380322973 NURBSSource NURBSSource 22 226 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0246525608975551 0.0139279887949479 0.000486442353017693 0.000744055619082456 NURBSSource NURBSSource 22 226 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0416062581153212 0.0228678485758974 0.00144574816216298 0.00223953821390254 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.045089644877642 0.017685077448801 0.00685118930699988 0.000763909154004183 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0159475904546341 0.0100497421062066 0.000364814869492897 0.000306307654500145 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0248166915661664 0.0140346979516661 0.000505667757928353 0.00075200677519385 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0416275265469289 0.0228600056420605 0.0014553382928195 0.0022332708926116 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0536087737766175 0.0244426220425462 0.00943698665239252 0.00146285494471047 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0189639048905824 0.0117424635422517 0.000580940319264775 0.000394339926165119 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0253618149679603 0.0144686107872289 0.000558858161737948 0.000782398420059564 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0417216124972576 0.0229243036501185 0.00147923734798628 0.00223699319569686 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0796794508129141 0.0412450838817129 0.0196497591583436 0.00421883911518316 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0279660104814914 0.0165179272164097 0.00150401787503098 0.0007340157654267 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.027665918960826 0.0160704140849359 0.000775354580768329 0.000902834792491422 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.04219737673452 0.0232967419516458 0.00156891601037099 0.00227217504266739 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.207701454038322 0.116646876300412 0.125619954390923 0.0326337757795825 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0720546241025087 0.0404545287319867 0.0122847435622404 0.00423042937546813 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0455580978306659 0.0264788419196648 0.00333353653892454 0.00209163768410646 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0480606975007471 0.0274923230925902 0.00255491483001197 0.00283210406226093 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.337429841257817 0.195448961520922 0.33445985332887 0.0872457639000539 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.117850432551323 0.065745652255503 0.0345930398704326 0.0110389900528951 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0683255003291326 0.0392487836167487 0.0089189390574493 0.00436991029270892 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0586296239452855 0.0336642853875708 0.00461793671734302 0.00389397174162239 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0706175524158411 0.0344519753086974 0.0157547684801721 0.00296896546282979 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0247052238615731 0.0144051709269093 0.0011445677765135 0.000571118171283192 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0268076249904318 0.0156035092921904 0.000700367991350494 0.00089180907951542 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0420922254770322 0.0236075553773606 0.00156185440194692 0.00239452761142378 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.120888441715539 0.064105415703446 0.0437968814361168 0.0101890582570516 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0422151911079819 0.0234398485321006 0.00389444707337258 0.00145767010833166 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0327583697404818 0.0191925189846621 0.00136508301955295 0.00125314775724216 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0438213307006913 0.0251729406107269 0.00186453888915805 0.00267018089115774 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.228769660517404 0.126367285723656 0.153525545715493 0.0382273419178014 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0803031522086464 0.043762034272584 0.01545906248056 0.00500264829692965 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0500492967893957 0.0284737579316465 0.00428674520095502 0.00255723210288771 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0505080270983075 0.0298751231887987 0.00306729650250071 0.00357210105943911 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.643106371189779 0.397973349645478 1.29222590344517 0.32044216804606 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.232616634589765 0.128111124517552 0.140665576007566 0.0413474387558692 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.132354999812761 0.0724140212317455 0.0387873695987139 0.0153514837627051 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0974477669609175 0.0568341384542681 0.0171196426729101 0.0115282577731232 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.01264426454264 0.705146360588466 3.47793510319183 0.867740966745456 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.372164851042394 0.211980170967301 0.373898202083859 0.108313855919362 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.214006419429641 0.116660278110827 0.105814472653912 0.0388499997266586 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.152623199039489 0.0875942036627197 0.0457421485842185 0.0263723169300587 NURBSSource NURBSSource 22 227 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0109145365202759 0.037835675373773 0.00024175239706148 0.00191386383406795 NURBSSource NURBSSource 22 227 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00705332905635551 0.0405999783364235 0.000184347512327407 0.00869173253049764 NURBSSource NURBSSource 22 227 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0132092992733228 0.0735283298024858 0.000790954108481812 0.0361475080442537 NURBSSource NURBSSource 22 227 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0209847909136406 0.116031128298037 0.00192599027343454 0.0840685402850453 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0133632208610063 0.0393489941535228 0.000371954267157228 0.00218761573797431 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00768139224681957 0.0409910114561497 0.000205046024757536 0.00877384055854542 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0134101994648421 0.0738285957900655 0.000801779461261605 0.0363308637450457 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0210424344181724 0.116157678411934 0.00193089919038883 0.0843587402671557 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0187703878686089 0.0442808588519884 0.000777177317186634 0.00310959749096594 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00914095398823695 0.042155234388298 0.000264668960976385 0.0090006237158567 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.013854180792945 0.0744710089508407 0.000828090430556257 0.0366205282335289 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0212123617330314 0.11637419785878 0.00194489670191754 0.0846949552661832 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0321998060675204 0.0609286182575776 0.00247150782247921 0.00702793913895823 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0131804212209086 0.0466626755607112 0.000494033035415299 0.00989504698934079 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0151757264061551 0.0764888075498361 0.000919225348150905 0.0374403794232559 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0217497215646294 0.117118460786141 0.00199340910253012 0.0855375655903314 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0913437500410508 0.150763005284215 0.0219211041461387 0.05184556668885 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0327152461515847 0.0732985581296535 0.0028854035485066 0.0178208024189132 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0236158063663959 0.0888472519433742 0.00176797075377756 0.0429282556209714 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0255545439811905 0.123070670548288 0.00242244628044358 0.090798265297094 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.151936454591493 0.245201474556047 0.0634907817773367 0.140330508348964 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0532666088169675 0.103837857044723 0.00770551336859698 0.0321596016163137 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0338796713303207 0.103517515417278 0.00336834435770609 0.051003035554317 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0309126537274349 0.131229219078482 0.00319922753555295 0.09805677250381 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0273644427124639 0.0540888301486413 0.00176559145084592 0.00548332040224205 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0117679818115143 0.0443986872369605 0.00041031583860649 0.00946721639569181 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0147120517421365 0.0751308727687216 0.000889271892781049 0.0363622570379317 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.021578929017365 0.116125105032155 0.00198824071565132 0.0833751740732211 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0510524317044314 0.0881380590669657 0.00656405127287419 0.0169231591614157 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0195041301097335 0.0538003711683478 0.00105778989688142 0.0116525636551672 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0176066479238637 0.0788326268082785 0.00112898717313615 0.0373276173235019 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0227637830999768 0.116940446716247 0.00211919404312611 0.08308767484751 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0998547724668359 0.164711980252639 0.0266012873427722 0.0635893226437227 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0364271104279129 0.0770256510452413 0.00363199261249504 0.0194459008548011 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0251380056773461 0.0888183158925102 0.00199766367958502 0.0408469840867512 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0261743173134144 0.120254838577578 0.00256266801428485 0.0836702210668815 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.302537596683955 0.471702702579209 0.279392555183856 0.509794235111044 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.106247690965285 0.183003857575927 0.0316998570229119 0.0944082391286097 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0610148638300941 0.140565380912214 0.0106354455563793 0.0732120550808389 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0461019224439045 0.145485186513403 0.00660894368493152 0.0990592995340224 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.530824772452119 0.746853815165518 0.942720974340101 1.17404914772176 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.175066308630858 0.289923722403514 0.0885223096918853 0.231241850096853 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0975120486483643 0.197595905759151 0.0269267994957902 0.131884417571507 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0686349326196387 0.177905175522914 0.0140072302532411 0.131287851650252 NURBSSource NURBSSource 22 228 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0095063199928909 0.0319865449923508 0.000249992150042132 0.00275264496089787 NURBSSource NURBSSource 22 228 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.00739700314533425 0.0581949153876545 0.000319957096738611 0.0233665154344611 NURBSSource NURBSSource 22 228 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0119553528893141 0.112752828483795 0.000841448180108467 0.0864160733966623 NURBSSource NURBSSource 22 228 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0160913232908003 0.166360850424355 0.00122238835340743 0.174147813839139 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.012391652361988 0.0349771568316747 0.000418237999036551 0.00322309897247957 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00809252475647338 0.0587811027254185 0.000346336580216697 0.0235146320493858 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0120802519467899 0.113190589700423 0.000842249308746319 0.087043460626475 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0160876131024179 0.166878390516981 0.00121379412439729 0.175335932293041 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0183894432453848 0.0429950016195122 0.000924411393222928 0.00473407532275444 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00975338739706868 0.0603099928955158 0.000423458977084737 0.0239136901471945 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0124838417041214 0.113866891085931 0.000860775718530589 0.0877906092328245 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0161580569852171 0.167449355980303 0.00121208637827424 0.176582460849906 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0329283600083287 0.0656663924800014 0.00297219031046707 0.0108814030694866 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0140213146089989 0.0647119730205654 0.00070312822583128 0.0252140690086905 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0138372951365715 0.115720031915341 0.0009419771490728 0.0895853545021355 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0165302121437545 0.168767223699807 0.00122823103111565 0.179260845959121 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0951059479589463 0.17302397599207 0.0255029779009414 0.0767464948698319 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0340049126420984 0.0904090530299176 0.00344223288134629 0.0360019398318835 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0221115630042539 0.126958315867318 0.00174240213718698 0.099795826326464 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0202066985879344 0.176076709592642 0.00152902584559137 0.192131112014116 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.158248139644785 0.283437873598444 0.0729360715162523 0.2035265380837 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0554043800018774 0.122020291821035 0.00889480870674773 0.0551975331475415 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0321094187437355 0.141567816088703 0.00327182047100708 0.114221506170578 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0256150724829549 0.185637754233473 0.00215589378691804 0.208225067446662 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0278526383252227 0.0571310008964002 0.00214777961586294 0.00848649325504163 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0124315600683116 0.0630550033127341 0.00058770479886818 0.024632027499966 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0132708438859 0.113106131097969 0.000907211446437995 0.0860890214327664 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.016359365167516 0.165401910541137 0.00121865567065489 0.172506180280412 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0530997804524056 0.0979267512122742 0.00791789121302286 0.0249764479656154 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0202163460175688 0.0722042550474918 0.00130656005169693 0.0276637119832503 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0161451559920052 0.11519113568462 0.00112415399323663 0.0867753941932109 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0173591772676554 0.165226446574382 0.00128332584301514 0.171596127572103 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.105244147053679 0.18572706049792 0.0318453132080019 0.0902703416838752 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0370439156816313 0.0954926316330901 0.00406384169013514 0.0380625757336468 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0236713207977306 0.122173002977532 0.00195117097772819 0.0903546994594541 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0207862652645932 0.166629116393733 0.00159275396231607 0.17153532048833 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.322659056314915 0.527212921654105 0.331852927335777 0.700527580443416 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.107072170222984 0.206143004931814 0.0337027889759238 0.133186599137927 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0591641535668672 0.167045609517894 0.0101902445177007 0.128938276355667 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0411668029100085 0.184715705947185 0.0049085530843249 0.190317965792732 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.563904311169903 0.829227425153013 1.09192310451459 1.61660398079811 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.178619802053081 0.318108803375243 0.0954528020119405 0.30702688736908 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0968083751635575 0.225444667382618 0.0263386398766536 0.207301474975978 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0648260924190354 0.214051876909078 0.0113351406600254 0.236308347016817 NURBSSource NURBSSource 22 229 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0552769110753514 0.0395459312416777 0.00307725484594132 0.00175314637970968 NURBSSource NURBSSource 22 229 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0179548250611635 0.0143446344301132 0.000448681102484325 0.000329911392585331 NURBSSource NURBSSource 22 229 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0122735645269793 0.028090859569974 0.000322613213441056 0.00255718696869667 NURBSSource NURBSSource 22 229 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0195515542945997 0.0497308293658087 0.000773506830285937 0.00870484026913954 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0569550360161816 0.0405317335913425 0.00348505991104594 0.00190366284403964 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0188904945395203 0.0148788819675208 0.000503073740239312 0.0003466722218612 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.012727324363345 0.0282192907929956 0.000341902953754985 0.00256420340588513 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0196532826516653 0.0497762041917007 0.000782690926158489 0.00870262420452896 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0616424341031405 0.0431169178642466 0.00474143435488485 0.00234911242504925 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0210450814040116 0.0160072141083592 0.000668268769772936 0.000403037138462622 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0138888260191844 0.0285892587002751 0.00039623164716296 0.00259376108796405 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0199499739106421 0.049877361589048 0.00080756585289856 0.0087127918813815 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0786389307714798 0.0521793349676813 0.0100811978004782 0.00415514072185055 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0277720847051037 0.019371920482084 0.0013651575231383 0.000634530312555192 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0174040138239131 0.0296655257887968 0.000617793030134112 0.00270050499603891 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0210013620389108 0.0502095508842389 0.000899540036213245 0.0087641785221562 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.179689965322412 0.112426337580745 0.0771765290964595 0.0246268562287339 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0651531847834101 0.0397084893259939 0.0097843313004042 0.00332164565695584 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0362378422543827 0.0364780272624836 0.00305991287127867 0.00370999003547617 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0296785660147805 0.0525810234739481 0.00187917542983257 0.00931723648372264 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.287769393474669 0.183691581569502 0.222470335059908 0.0665480652900088 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.104904740580864 0.0631944891410659 0.0274679147703206 0.00892377992764946 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0573138385224988 0.0459762567557306 0.00812856064341847 0.00569219651735574 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0416423700697042 0.0562068674616504 0.00388787272319683 0.0104308730937452 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0709833466605119 0.0481991664787189 0.00751180853896753 0.0033980415571658 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0245711930229935 0.0178947316631774 0.000999217010992613 0.00053043081633232 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0158342742799684 0.0291857793232419 0.000508226657157415 0.00262108888522409 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.020454062590294 0.049831128856959 0.000845838453711644 0.00862318491480368 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.107351227966185 0.068543236130217 0.0224995171320092 0.00844717149092535 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0375932589130638 0.0249618490629853 0.00280791460706053 0.00116797548246506 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0225611857577037 0.0314257999111995 0.00107688432401014 0.00286045615484828 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0229003829438783 0.0503760718010623 0.00107072385439788 0.0086529617276235 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.19226896362556 0.121716160597884 0.0890195039681592 0.0293169351011635 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.067857677497559 0.0425226596644127 0.0105880463749029 0.00385159447083983 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0383771559074858 0.0374939094963848 0.00343617303799445 0.00380080179250478 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0308621595904008 0.0524156559642485 0.00202422039537175 0.00905299872172756 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.53472740278907 0.366777407540142 0.866302705384853 0.250142744605524 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.192484946704655 0.11998524632615 0.0992894478046785 0.0329539760033575 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.106224819743606 0.0730313830602241 0.0293879449661054 0.0141915146571707 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0722416978638406 0.0684263270433774 0.0125714957884981 0.0143644437295202 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.854298891979802 0.628194768695175 2.43270377360318 0.670154074803058 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.308265058730992 0.200808747152916 0.272974476084548 0.091378401464974 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.172044532656911 0.115097566588078 0.0799900165874511 0.0363012959179483 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.114815367100787 0.0929500161548381 0.0330952147437484 0.0269144598498806 NURBSSource NURBSSource 23 230 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.045814229297049 0.0179618744449224 0.00643979714427397 0.000920364277826341 NURBSSource NURBSSource 23 230 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0297473345713761 0.00709647958490696 0.0031870057508502 0.000221602276332087 NURBSSource NURBSSource 23 230 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0556253560599592 0.0116468002031357 0.012158395857343 0.000777630511928138 NURBSSource NURBSSource 23 230 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0921270454713605 0.020516034977133 0.0324484531500833 0.00244970708095697 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0481773936888425 0.0229397079987903 0.00715908076054229 0.0014436578417005 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0304819904305468 0.00862664831049915 0.0032750041150578 0.000297690641211347 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0558669652166994 0.0121104026653999 0.0122098657442579 0.000810547089846667 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0921607247642917 0.0206471812290671 0.032492556553618 0.00246618343378208 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0550204082433964 0.0338021172550524 0.00932689936328333 0.00302784200697174 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0323794184381889 0.0121642836084198 0.00352844630522179 0.000515039055459199 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0564435863156218 0.0133437571045322 0.0123192726669231 0.000901749470732588 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0923035202903802 0.0210391704508123 0.0325637945318912 0.00251108730636875 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0775474516379206 0.0601075486082851 0.0180545219243219 0.00923479109785053 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0385740010586243 0.0207320981025092 0.00451184116842668 0.00131003393761411 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0583615722221076 0.0169364099737906 0.0126833410145225 0.00121598742591434 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0928728412492719 0.0224511824629596 0.0327743356234801 0.00267977152101079 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.194486954499261 0.173132824407059 0.111103971697348 0.0712409150012854 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0736882592196133 0.0580349707433287 0.0144791688505806 0.00899645743829615 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0722101684555074 0.0354119162878018 0.0160066625967823 0.00393218899361206 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0980575995456977 0.0314104622816284 0.0345007209936145 0.00404132261756075 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.315294209175838 0.286315146509348 0.299572026673455 0.182739321768818 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.113707745898952 0.0958421327908879 0.0343400410713799 0.0234185146410107 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0899131307636159 0.0558406012099788 0.0220950524361013 0.00889006730150877 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.106517628821771 0.0426118807790253 0.0375673691818958 0.00639836316666359 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0679035750297242 0.0518638071543556 0.0140773853646966 0.00696226523496118 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0357521745120913 0.0179196582821547 0.00404972595667177 0.00100681855084989 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0572977962101023 0.0156591736098777 0.0124783248561982 0.00110822061415746 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0923830039428933 0.0222023028973966 0.0325528481751264 0.00269674841295036 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.111728386749248 0.0985915540931966 0.0373470356924056 0.0242405907628493 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0482291865766078 0.0332268071622352 0.00657365993058738 0.00313698476645004 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0614029737590173 0.0226632663239561 0.0133185272809135 0.00189823083478153 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0935495492176603 0.0256871868798665 0.0329079647212508 0.0032190547848441 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.209891439977401 0.194059230748266 0.13187664464983 0.0890900962525763 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0787034056194686 0.0649022192701677 0.0165347211671383 0.0111613742447485 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0728963725896163 0.0385762331309803 0.0163903094355644 0.00466956205758014 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0980876144228476 0.0346621992630279 0.0343380671000567 0.0048846788499997 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.611534976830706 0.581112183732079 1.20967544526062 0.670688586933468 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.211688792038636 0.192871596491188 0.122262573103391 0.0889918497446499 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.13503378942152 0.106099204772072 0.0467733165172677 0.0303654570601176 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.130279788441941 0.0774966284149889 0.0484550817620519 0.0190625871839746 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.00249802176151 0.980744970341058 3.449626730181 1.68163272989377 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.340809155147842 0.318731859186888 0.324987143196286 0.22983290762642 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.204873925205519 0.173315542840873 0.104875801584874 0.0771327944273278 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.173701749981047 0.122339515931373 0.0759357476605643 0.0448054021027931 NURBSSource NURBSSource 23 231 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0195795678760774 0.0223111862055504 0.00115887104987294 0.00104367369334549 NURBSSource NURBSSource 23 231 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0174616946956203 0.0157032296235155 0.000326662091925958 0.000595019118332299 NURBSSource NURBSSource 23 231 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0360337515429683 0.0229144358104207 0.00109837137918635 0.00125427944098601 NURBSSource NURBSSource 23 231 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0569699811607615 0.0285159009806703 0.00292098829563834 0.00163187184000803 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0243440359059443 0.0257905081262513 0.00173839195162124 0.00138068401762159 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0178446320953412 0.0163471309962049 0.000366486286118526 0.000631454387097778 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0361446028959828 0.0234483746201346 0.00110988991448422 0.00131789813683873 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0571259693124968 0.0289840468942467 0.00292107005698601 0.00167836044317449 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0343932853269231 0.0332873727815481 0.0034069222616755 0.00241158480391284 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0195561913137884 0.0181749964271244 0.000498280705322622 0.000737472400739879 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0363577441354609 0.0243626373251526 0.00114602867204788 0.00141498090687145 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0573133669838273 0.0296808659954217 0.00293207519901056 0.00175114929920364 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0590501393956361 0.0525904892584891 0.00995571544106062 0.00651109350971854 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0254383796552319 0.023545879872948 0.00106176439062578 0.00117551879239701 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0372425312943912 0.0270625004035472 0.00129412320357266 0.00170975080829321 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0578157341103105 0.0316035121974898 0.00299390592799188 0.00197628820058023 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.166350215652586 0.142221473176167 0.0812140171598587 0.0493513752945255 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0587408361028432 0.0518258237732585 0.00778393125396539 0.00611286265711157 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0472347443039418 0.0422755088155369 0.00296384731391572 0.00429706770017903 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0617421893684794 0.0432473060349583 0.00369729941002435 0.00393886335653545 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.274352618355277 0.236075065280276 0.230290500931791 0.132787026607958 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0947212216820273 0.0826474174671386 0.0219012873767313 0.0162400775193121 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0625864190398055 0.0605587250058829 0.00649107010724435 0.00928224417103967 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0686619852451516 0.0577367069952809 0.00514628191556233 0.00771381740017441 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.050712312150174 0.0472708495621596 0.00742964843137754 0.00535356692339091 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0229281408608692 0.0213736728091297 0.000793984164461246 0.000973669891156849 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0362601719505805 0.0242254318783933 0.0012075489445717 0.00134122603923417 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0567868615747868 0.0292656769078822 0.00298192413297497 0.00172685727011015 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0950236587567539 0.084322205517511 0.0261152439836875 0.0179325625304724 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0349339798048284 0.0317407054613738 0.00237543266646344 0.00218057514580771 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0384855481112241 0.0281126734088589 0.00160144756499505 0.00170606922220288 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0571293054104203 0.0313153133291364 0.00317383110223844 0.00198617603161826 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.186754712335651 0.16259191670333 0.103746247585582 0.0663878396924825 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0631781067232788 0.0556866245275884 0.00919277964677301 0.00723881601958745 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0482904010958492 0.0393892885100777 0.00336324786815906 0.00335964985949843 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0597586750466911 0.0377205547124399 0.0039998128724535 0.00300537738431719 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.540567999018589 0.485808766547397 1.01184568717696 0.518475891278662 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.18189302269293 0.157110617924747 0.0887446852743986 0.0605228425420178 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.108188533771619 0.0933450596917376 0.0251542367378669 0.0219427990270235 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.089545375280215 0.07260927079495 0.0136385318766662 0.0135980667188842 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.877205914289212 0.833356000105743 2.96142639385226 1.30814530799962 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.295165977682393 0.25425323700216 0.252032078588468 0.153567371147059 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.172488946880308 0.147188699761358 0.0699890696247517 0.0566446574004908 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.131290429636443 0.108807631091344 0.0330249928696421 0.0327125851440011 NURBSSource NURBSSource 23 232 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.017284274756247 0.0462387464421795 0.000713725195160606 0.00386371201206007 NURBSSource NURBSSource 23 232 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0222153157131306 0.0616142228142063 0.00199675587795116 0.0199090455485431 NURBSSource NURBSSource 23 232 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0433332403377522 0.119875683695638 0.00801285925115181 0.0848397906822297 NURBSSource NURBSSource 23 232 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.065779549256332 0.183015377478378 0.0180822950131783 0.196106296650849 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0196954549166193 0.0478814094587352 0.000932731488534235 0.00431441198924119 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0227579835745081 0.0619475502019079 0.00202206838635655 0.0199302260166185 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0434494463708903 0.119813535178848 0.00802113951777669 0.0845370143909003 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0658092468164291 0.182715610125661 0.0180875066508929 0.195354380803643 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0251494295464041 0.0527056279467284 0.00157457536001743 0.00559389531520147 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0239470337487904 0.0631725895034964 0.00210152467931491 0.0201604447689592 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0438240388269587 0.120086349010715 0.00806618439445832 0.0845688644924943 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.065997884859916 0.182755545311511 0.0181419673927782 0.195350829269628 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0399086955255797 0.0698469529711279 0.00417975151722961 0.0107701293165573 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0272214118162817 0.0673210385379121 0.00238098967905047 0.0210714565867229 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.044845997480417 0.120955590956498 0.00816316099156073 0.084493202675841 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0664124057725613 0.182602357971177 0.0181879750184581 0.194386705013428 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.108887458993061 0.166433989631392 0.0336231273170706 0.0663622054176929 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0450348164284639 0.0921167620354599 0.00536539607979117 0.0293974193585633 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0511458390716105 0.129073864725264 0.00909249180336925 0.0868855748890946 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0692619533978229 0.183848820784142 0.0186436111722107 0.192581512907089 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.179492670568648 0.269891587908587 0.0954297297555902 0.174341958015622 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0660590512980051 0.121617733132605 0.0115542622254478 0.0448086801612773 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0591256050394182 0.139995089862903 0.010842805940704 0.0919159430424633 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0730944807782737 0.187119914031586 0.0194412470685422 0.192404216669831 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.035888403099311 0.0624188325832023 0.0032675562912951 0.00813335096449446 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.026247222610692 0.0656693342587794 0.00228060373844498 0.0207025336181176 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0446426712736876 0.119844650407055 0.00814587916464568 0.0834798931546641 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.066228519638208 0.18189154300851 0.0180874841058253 0.192931158595087 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0646894553171827 0.0980705781464211 0.0111835123051172 0.0216807164702842 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0332957289580568 0.0744801515176682 0.00310337599404709 0.0230985765948663 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0471377972482539 0.121951197915711 0.00844662495362083 0.0832056217928782 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0672494955324066 0.18180159188745 0.0181668054837207 0.190802192952499 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.124816184193151 0.180555042846859 0.0441368531003309 0.0759826875452421 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0499321671619592 0.0965831433329669 0.0064346477240038 0.0315352019458374 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0535919720170097 0.128906039207328 0.00952908763848791 0.0842898249342106 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0701456162252193 0.183296551160447 0.018547539886537 0.187729307239181 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.372343144676716 0.515181111607879 0.448686966891554 0.595057334039457 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.125634608591335 0.201181897441811 0.044403200195196 0.113265728167157 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.086187206019137 0.167757642234296 0.0203025832730262 0.106567457747168 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0860243984823219 0.198719522860043 0.0226665312036074 0.189792566632791 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.63401519050153 0.816273023471551 1.40373026933536 1.37923713717182 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.20189899779065 0.309325408438224 0.121168438761471 0.264654338103115 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.123124870916225 0.214527533734991 0.0419377439212549 0.155718130510198 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.105159209670616 0.219716957388884 0.0308854921294823 0.208159417472011 NURBSSource NURBSSource 23 233 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0145837378643563 0.0101651636420344 0.000610746670235467 0.000260767990355666 NURBSSource NURBSSource 23 233 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00737695089171373 0.0063976119893909 0.00021349950692446 0.000155423207308443 NURBSSource NURBSSource 23 233 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0119206214132112 0.0107704928416983 0.000426433909028921 0.000511497740779887 NURBSSource NURBSSource 23 233 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0209157046976398 0.0183808931683402 0.000898579894312253 0.00158207706746818 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.018117510044906 0.0123903030560114 0.000942497744849042 0.000365573231715027 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00860339925709577 0.00689954402659967 0.000258866236218765 0.000169639966017654 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0121309477740615 0.0109492322678862 0.000431845554895267 0.000521668988491805 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0210076311379449 0.0184806493455244 0.000902069828987374 0.00159737590172809 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.026315103761817 0.0170938440547166 0.0019478594911245 0.000682824065444062 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.011224597581369 0.00811123357733953 0.000384301086573447 0.000211728446036474 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.01273298942783 0.0113618223875091 0.000457342275680072 0.000542909289373051 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0212029194086171 0.0186600321477171 0.000915587414278068 0.00161956475504799 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0465154469636058 0.0286667661754403 0.00597244567980546 0.00193729457652629 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0177908332016147 0.0114172516095117 0.000866998143849084 0.000370821095622732 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0148204375410516 0.012571948756542 0.000566666785866862 0.000612340507855356 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.021809940535743 0.0191670333699874 0.000961497188335156 0.00167688322703279 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.13207412031831 0.0808462321425774 0.0490952475849592 0.0148281342126919 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0474687489355902 0.0277915887380286 0.00594194340678895 0.00198829071725379 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0283728664157904 0.0197148506435194 0.00185425529797298 0.001206348883185 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0270491569244333 0.0225193362520701 0.00146769288748257 0.00207771590571576 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.214551344843457 0.137248453755773 0.135016589012862 0.0396540129448888 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0773645234780953 0.0453725241841467 0.0159648581629754 0.00514133800842209 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0438123479563776 0.0282065239080075 0.00451749020821688 0.00228037792822019 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0353103213724314 0.0270275019478597 0.00253062855184083 0.00272158332489787 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0392811183585376 0.0242386923618535 0.00426228073371514 0.0014122143871732 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0153791483206243 0.0100249614949996 0.000654884084836609 0.000299729503111205 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0139219516095225 0.0120013290016281 0.000537439069049158 0.000563921001191821 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0214633741357502 0.0186946862893927 0.000950979387367696 0.00159069781589965 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0742858250695933 0.0448329384174852 0.0152040152084555 0.00481313274131142 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0271165350774422 0.0161829678442072 0.00193509059205675 0.000709985233425264 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0184521847245643 0.0143379436518085 0.000859407244917127 0.000701498640017262 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0229669457022786 0.019535791037863 0.00109034669075286 0.00164594845896065 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.144272392537134 0.088857102106175 0.0589671174970211 0.0178815369562117 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0517350114447799 0.0298483233871135 0.00703882247406367 0.00229556959834692 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0301525064448382 0.0203436518898078 0.00218394961352191 0.0012080975639231 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0281110143080293 0.0222769699963055 0.00164752544488589 0.00188814382006445 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.394162565081915 0.291027508376358 0.516764977114214 0.153045056027827 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.148843484454251 0.088063745920669 0.0612877562754105 0.0180203396628137 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0810576710185986 0.0496278928174545 0.0164708337946414 0.00622390914741994 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0590363075512109 0.0390927510665512 0.00775249759864922 0.00436807623183262 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.631786005602115 0.526875984303672 1.46911696761368 0.429126196397729 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.236046683196682 0.150835190948346 0.163552525082593 0.0476288395684953 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.131027775857839 0.0812772076425896 0.0446329471983076 0.0157830336179109 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0924521885758593 0.0594264540705186 0.0198941762251214 0.00919214894722584 NURBSSource NURBSSource 23 234 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0181671118798656 0.0153493354069022 0.00105154103909651 0.000789552264971564 NURBSSource NURBSSource 23 234 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00672383492024175 0.0100268306648237 0.000139429298948262 0.000278146894860914 NURBSSource NURBSSource 23 234 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0123177413930751 0.0155548555896908 0.000539608910583591 0.00124910586001155 NURBSSource NURBSSource 23 234 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0236224819266552 0.027128061649147 0.00219065370047288 0.00450921803925075 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0225204001049886 0.0176973697513582 0.00150833339104259 0.000938340379077271 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00811915813491989 0.0105205466653159 0.000188107093987903 0.000292593463940766 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0125072080813274 0.0158192022083658 0.000545917355608863 0.00126285916037704 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0235592785796989 0.0271773278496252 0.00217439304091929 0.0045207892491245 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0310362450218798 0.0226386301096223 0.00277662805706091 0.00136732700692458 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0109926400569498 0.0117938679041406 0.00032568827171066 0.000336350357062167 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0132564297207848 0.0163889699688654 0.000578951875669375 0.00128713224466049 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0236336285777273 0.0273306029335514 0.0021695842860922 0.00453842912395838 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0521784470835368 0.0350846564370556 0.00771582031737982 0.00303618807569512 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0180681373389744 0.0153666526546768 0.000861774277298103 0.00051504290181716 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0158202616405699 0.0179605626148509 0.00072103051801988 0.00136410702915486 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0242512936267261 0.0278765282071573 0.00219775518602485 0.00458911855579401 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.144637705517075 0.0935620761252643 0.0596603226096466 0.0204635321527606 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0496541383724158 0.033690525613325 0.00657164579417943 0.00251994586988392 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0305457377593708 0.0262746691524532 0.00227437745279202 0.0020398436367027 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0305288773640827 0.0318804583067687 0.00275873909649825 0.0050074607952183 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.23312017572166 0.157615033857096 0.161695322327151 0.0546034384424102 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0815229750481246 0.053893435980294 0.0180084342203009 0.00662680794056093 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0470308684885149 0.0356380644750074 0.00541883802191773 0.00330100965695535 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0393312255359167 0.0369468506300764 0.00397505805998048 0.00568397526035251 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0443967665720916 0.0303203634992261 0.00558998187600003 0.00230840356436571 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0156129754408572 0.0138849433410761 0.000637280082307491 0.000428527338039028 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0152097902810892 0.0172770465115884 0.000724691545040131 0.00131301851431051 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0245425340332464 0.0275058373790603 0.002348986265643 0.00451535891710695 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0816246561404977 0.0526757644672581 0.018720659714468 0.00670986841827177 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0283521231961466 0.0205470743641129 0.00210269930257725 0.000902852595159667 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0208777939096172 0.0202529516158451 0.00121512503487961 0.0014776904663867 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0268412381793566 0.0285499169441228 0.00265460110145577 0.00457466878912238 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.157059966600737 0.102187477894904 0.0706323452097306 0.0241060313807213 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0550153831229162 0.0358469184525403 0.00799343759922916 0.00288120904324496 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0341153751157962 0.0272238617064046 0.00310249958704199 0.00209675628738957 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0336249307892045 0.0316079457464766 0.00370956869860456 0.00482679142424009 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.428965676635293 0.332671192566832 0.607449223607285 0.206017455268098 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.158358661463909 0.102691754138135 0.0694108527562114 0.0240583027977342 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0916870116257563 0.0595787528006269 0.0229943253567656 0.0085840099284888 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0681218295871592 0.0482951395197032 0.0136430759249363 0.00757686017872858 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.68572081444022 0.588047395602786 1.71297385726352 0.558469812797145 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.249749350459296 0.17336771541064 0.18311370687342 0.0651398721380367 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.147411597849876 0.095512864648131 0.060952459256248 0.0221598947781853 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.104853502504518 0.067930422784911 0.032162807060037 0.0135838311283328 NURBSSource NURBSSource 23 235 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0258084114350791 0.00862474145671068 0.00240906968553757 0.000246816206181456 NURBSSource NURBSSource 23 235 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0133174587853546 0.00390288189477816 0.000304650166061346 4.68730348211359E-05 NURBSSource NURBSSource 23 235 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0259780488274062 0.00568951592171019 0.000906978437620578 0.000164866818283245 NURBSSource NURBSSource 23 235 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0435031526759166 0.0107020543514129 0.00254225762215773 0.000818892814781151 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0288587263707379 0.0115274013933824 0.00293470302500793 0.000397918735096246 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0140980598910427 0.00462219009873017 0.000348512433894863 6.40477329724943E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0261777239718679 0.00585946861097037 0.000922439946956935 0.000169521904968895 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0435613046282026 0.0107448945613827 0.00254990216981597 0.000818562805013637 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0367080869245595 0.0171057871199287 0.00450553348433779 0.000822618531096747 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.016252903737608 0.00631840911969821 0.000491095206532737 0.000114559320644272 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0266427977644169 0.00638457144737849 0.000963479128101069 0.000185141915857024 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0436872358791347 0.0109128162453075 0.00256862796668753 0.000824344661878087 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0585557685439276 0.0303471142110431 0.0105821318587811 0.00245905809912319 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0228879559738671 0.0106999915591347 0.00109373937272581 0.000314352621491741 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0283227290759449 0.00810878180523831 0.00112402064921049 0.000247252332713391 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0441140164306844 0.0115766639274686 0.00263645265915695 0.00085470267654338 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.159497649197609 0.0878160553315359 0.0728250548420121 0.0190048001383406 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0581640388273086 0.0301563864381362 0.00816899037588885 0.00237692349128901 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0406004295415533 0.0173715441630125 0.00285305594118038 0.000865719733273414 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0485261141934338 0.0162945884538912 0.00334914802535467 0.00115913429170901 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.25961375521486 0.148017193375805 0.193595103977742 0.050725410766561 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0951637924836347 0.049984038779019 0.0226993157017855 0.00635346302592737 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0576582598719556 0.0274302121735385 0.00650876161722129 0.0020469935974772 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0558324575318235 0.0221246604790259 0.00476208456524368 0.00172341618206402 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0502611889290703 0.024735694351874 0.00804999746000879 0.00164980988444331 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0206632182758215 0.0091830803036924 0.000864401384439405 0.000233360495004171 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.027522729009507 0.00759904816410902 0.00104140989324338 0.000234647795227918 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0437245550693963 0.0112927763211819 0.0025894943935241 0.000852656779320488 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0895979749706843 0.0465819516367599 0.0241328044409572 0.00563418007236305 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0339641086453299 0.0169407032139896 0.0026410610154749 0.000773165057684727 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0312670614103813 0.0112505626091305 0.00146206778109261 0.000420224357123803 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0446637005400961 0.0128610535631732 0.00275257915894932 0.000947612917152668 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.171936001126558 0.0925716153956824 0.0865990213890425 0.0210524568537728 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0637083651135913 0.0332242161249252 0.0100374319034389 0.00289555812891682 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0425227670916607 0.0195022046158442 0.0032274787788481 0.00111277490298837 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0485908147697409 0.0170790093633199 0.00344190111321659 0.00127920585161731 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.481062007157358 0.297409357643123 0.723605973434893 0.176763318303305 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.183818828060868 0.0990781380445986 0.089486644952333 0.0241889803909633 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.102630335104326 0.0545042330458315 0.0235301139661184 0.00787338800821057 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0788626363898517 0.0372798844286397 0.0113439668987828 0.00421887607091976 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.752101806104835 0.545313857317132 1.96648764224289 0.507158963600644 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.291419737286967 0.167792447097441 0.233601368618313 0.0640213023870224 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.162735725073766 0.0895895595697741 0.0624759960102252 0.0205536660917273 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.116900977018182 0.0584114724274985 0.0272104776699005 0.0095532018532459 NURBSSource NURBSSource 23 236 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0402732832327304 0.0219476622517547 0.00557470575667157 0.00108468639367792 NURBSSource NURBSSource 23 236 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0137498475804762 0.00799729826650377 0.000341509836220712 0.000171469589798194 NURBSSource NURBSSource 23 236 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0184900442908078 0.00938787370748255 0.00028941526060751 0.000334550278994084 NURBSSource NURBSSource 23 236 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0309712651458734 0.0158241676538578 0.000810788551504412 0.00103983370720514 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0433408486960796 0.0257529539406264 0.00633971419278359 0.00151183321260093 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0147023426278252 0.00929608446803407 0.000413949567883931 0.000225102231388704 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0186820727276841 0.00990123187875638 0.000304708828960286 0.000353489589694155 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0310821735997971 0.0159348361571122 0.000819089171945754 0.00104789059663893 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0514896960908886 0.0346969141546087 0.00862136234714804 0.00281170220524413 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.017478901305354 0.0122536377508927 0.000634263362991435 0.000382108776056571 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0193522565654814 0.0111160147826632 0.000352749753506414 0.000410024501899838 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0313343259430695 0.0162777253356381 0.000842123294096621 0.00107497905512828 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0754389980242142 0.0582239770929077 0.0174421884860504 0.00806507828870066 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.026187564929845 0.0199898603337686 0.00155984468223135 0.00100701996846841 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.022013636420473 0.0144683438365298 0.000554584351527167 0.000621935352403846 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0322517264207578 0.0175510659656837 0.000933523050109181 0.00118218728259698 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.193017582617689 0.163319602230394 0.108249602555415 0.0626381518647517 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0692860936201196 0.0551045147131491 0.0119937005199273 0.00764806251530132 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0410304802328735 0.0321614422846708 0.00304020938340609 0.00277574489524532 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0403641323650327 0.0260416204393549 0.00193931011219137 0.00220195650458729 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.314906696889492 0.270436985109803 0.290961879280425 0.165066131786431 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.113893659572701 0.0911528212078041 0.0333347650202194 0.0206777106054761 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0638908413997116 0.0516501187405459 0.00849292532969777 0.00700890931631801 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0526220712953246 0.037190738086112 0.00408882893731632 0.00415445849412757 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0655050565577138 0.0504181812761457 0.0134947166043775 0.00612448165932047 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0223527878665668 0.0172043767064947 0.00108525441538929 0.000746737725748328 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0210397600949791 0.0132276898569429 0.000471090955044291 0.000551095602728977 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0316492664263664 0.0172279329956838 0.000913350142735027 0.00121389599714155 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.110829228617259 0.09312285180366 0.0364943974259764 0.0211519899975921 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0381602470773399 0.0312206795754609 0.00343784564491215 0.00246139327460545 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0269629983830891 0.0198592357062656 0.00102785624674918 0.00114400429379671 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0336826028962164 0.0204356402515228 0.00117127794629946 0.00160487276433736 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.209841229590595 0.181424831326335 0.128242488198054 0.0789250205076072 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.072435591354818 0.0604925869604103 0.0131401712687454 0.00924828919664122 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0431453604919952 0.0351641064016921 0.00346388878516838 0.0034439604349822 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0409291139111354 0.0291646851540744 0.00221159904763448 0.00298728058614695 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.600907318887659 0.535670426557345 1.13933637153016 0.591752735280206 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.210687334344108 0.178223959153027 0.118590734788324 0.0773761300613951 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.117283401481327 0.0991913797849888 0.0320112544894755 0.0264935353510987 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0865385511307272 0.071596495292095 0.0144980750113316 0.0159511398580504 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.977447492781751 0.906480129992443 3.28923290773513 1.4576112951909 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.341333514382878 0.293221718045175 0.324354889213158 0.199248374303909 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.190351009687657 0.16099569778792 0.0878420290095185 0.0679415793863294 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.136899916742282 0.113967504782672 0.0388968878340398 0.0388054423565288 NURBSSource NURBSSource 23 237 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.014140894664249 0.0259758976484254 0.000147914395858128 0.000522850432534331 NURBSSource NURBSSource 23 237 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00882501619633399 0.0278161849649422 0.000182420363247119 0.00430317490575392 NURBSSource NURBSSource 23 237 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0122202107256023 0.0554267531171063 0.000481921484919036 0.0200274358069858 NURBSSource NURBSSource 23 237 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0181563443441169 0.0904561211753436 0.00114776977671395 0.0501460022044286 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0156226461739125 0.0299287454329181 0.000217643130947102 0.00094802556658778 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00931510688942763 0.0287925166322014 0.000195709009512693 0.00438109485606892 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0123654707265715 0.0554991309050815 0.000488711915672054 0.0200215541971325 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0182231532079412 0.090341414426114 0.00115565224558971 0.0500634724920072 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.019113529313718 0.0398725698657532 0.000440977247858178 0.00235449947268047 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0102191333034869 0.0313877990348921 0.000231493901820984 0.00466685903741284 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0127198345540459 0.056056033015493 0.000505568079798562 0.0201271158918688 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0183627955198214 0.0903539268754277 0.00116858829248805 0.0500418667587277 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0290627618080629 0.0660288429894699 0.00145007792037086 0.00852516318908056 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0129722625659831 0.0388859609267421 0.000375138589145403 0.00575651911378995 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0137271335514918 0.0582239180432675 0.000562902486168171 0.0205970238460968 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0187953299707521 0.0907382579333016 0.00120750041748645 0.0501502670953281 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0774098166247135 0.183815769663756 0.014597754944834 0.0797242967598976 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0288036047370722 0.0765131787319339 0.00202023188032562 0.0162728170356422 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0202960960893942 0.0727804425585318 0.00111663106392002 0.0249187298130727 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0217143375455284 0.0965085075821395 0.00151705856347672 0.0525196348595426 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.12945820681195 0.300569894655698 0.0458585113564332 0.216260852295129 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0462474773837586 0.117137501310369 0.00550020035456937 0.0364518605212093 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0287601352217818 0.0912648067001029 0.00221457914772878 0.0326651036230663 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0259084261105866 0.106003522059446 0.00207585364061785 0.0573379410023572 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0253838548065975 0.0570550749990729 0.00101552142105154 0.00596025148138623 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0118597935317092 0.0361943759669543 0.000314524295908205 0.0054336652679646 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0131383036907415 0.0568610292909984 0.000530811209666268 0.0201193154603381 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0185004476962268 0.0894521327122169 0.00116836658447458 0.049359799408227 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.044714624319219 0.105268221822495 0.00413021645166121 0.0242039195550991 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0175304146989454 0.0505027019197474 0.000711344777036655 0.00834838816814943 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0151059264482567 0.0618771824257578 0.000664990319092065 0.0211590698999243 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0193267843835181 0.0899672788910716 0.00123255289008492 0.0491616838848374 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0864745256818608 0.204612854383611 0.0184506236606935 0.0984440585983284 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0309281299098605 0.0825358214855152 0.00237188473645809 0.0191501466402744 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0208645970866187 0.0754959202510581 0.00119610404534425 0.0252240684996596 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0218421805288518 0.0951171560048807 0.00147841274822274 0.0504755076313774 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.282754020738106 0.565790594705997 0.260645136652486 0.71337560520371 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0885966497221812 0.218464783485422 0.0216847403326092 0.126913833440675 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0500965388389972 0.143586502881375 0.00694240158878311 0.0650901565674751 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0374862516282091 0.130344725637808 0.0039838426102276 0.0691418042305036 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.546097659658356 0.868542121614394 1.1017143833471 1.52967635127388 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.14839846707375 0.346136157049346 0.0650810722110047 0.313904940213024 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0813616173858773 0.212372524396111 0.0189384429804278 0.135849467064727 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.055940394045357 0.171663667834045 0.00884410530201201 0.104593125365305 NURBSSource NURBSSource 23 238 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.00553913139305175 0.0232691169462814 0.000127126158687583 0.00123226738093595 NURBSSource NURBSSource 23 238 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.00463081493630002 0.047223873358199 9.18009234754593E-05 0.0144737093047551 NURBSSource NURBSSource 23 238 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.00726053466942633 0.0940443664462966 0.0002020429603997 0.0567359640867364 NURBSSource NURBSSource 23 238 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0108652452218014 0.141838822698648 0.000355917888427249 0.118310950583416 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.00886863761961855 0.0290622978426476 0.000252978832199837 0.00195050092094868 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00519868683324038 0.0484286491462304 0.000108328279794806 0.0146827520109043 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00739223145061374 0.0945761208649942 0.000207077834958169 0.0571417924385914 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0109146285025849 0.14244454552065 0.000358618674257932 0.119118313158948 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0140719175333588 0.0417264669273904 0.000592068697421175 0.00415065117535561 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00654560413553084 0.0509238592253381 0.000153451828410326 0.0152054781197365 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00774240097143404 0.0955186773790447 0.000220703553703201 0.0577315204345256 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0110360403016088 0.143182930562192 0.000365018172358767 0.120044472568757 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0258530172991625 0.0733048011109587 0.00192834470257909 0.0131972672936078 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0101538693505794 0.0576469659370098 0.00032445147924253 0.0169289495312543 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00894983064641266 0.0982822936398704 0.000273164659386029 0.059371367034612 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.011465548085594 0.145060997459013 0.000387945128960139 0.122236393467554 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0761145634291891 0.20975794443983 0.0167585823508189 0.110958561274573 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0269005359245909 0.0944834755035893 0.0020736355079456 0.0318985932502097 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0164911238268273 0.114632190160131 0.000790609812158081 0.070265957005169 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0148331856787331 0.155581574171762 0.00061178271526292 0.134171758622833 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.128630803469096 0.344468946283186 0.0502650074921099 0.298140107176095 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0442794514557723 0.136911418533624 0.00557819981695217 0.0593879642808648 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0252572074920895 0.134996925155233 0.00179784491449317 0.0874698617031685 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0196122239486499 0.168967245142413 0.00104144286630239 0.151303701459835 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0220182508830392 0.0651833608626729 0.00141922200986702 0.0102648866155171 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00867550010924476 0.0557270924296877 0.000239310779969485 0.0165173072325464 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00836412240283988 0.0950807883630181 0.000237464953403382 0.056180094671976 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0112485457772125 0.140625285577274 0.000364086190867895 0.115738895440933 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0426105319589583 0.123217882740615 0.00522612783307296 0.0376783085515275 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0150192826383493 0.069396671969781 0.00065825272382608 0.0209379600445596 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.010957477418619 0.0988649943269776 0.00036005577117082 0.0569476751232065 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.012314275186074 0.140455309169259 0.000411456188039939 0.113967903348556 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0850794034893095 0.240785276173889 0.0212286038805269 0.144726449175823 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0285546490086173 0.101617536270832 0.00229409666225675 0.0360703368521937 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0176658561534973 0.109246074768461 0.000848906903454131 0.0609394072422702 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0156354739185454 0.142300799100451 0.000613464210317396 0.112250406400551 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.281386660256201 0.67255157808757 0.271615797783696 1.06922502330689 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0850395658207689 0.247044269713769 0.0203537585224928 0.178776705076082 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0487330727358015 0.169229244419191 0.00611362211974293 0.107045298493713 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0347499395299204 0.161527664887927 0.00280164517479027 0.12237704100769 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.545128640975831 1.01047574444575 1.12225928353289 2.21980662415892 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.149670974967951 0.387686299030168 0.0667432638473059 0.428211219933526 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0856137686534489 0.243572150949765 0.0195200155931808 0.200131071368357 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.058842626422362 0.198522778319639 0.00813593764549148 0.159768749136311 NURBSSource NURBSSource 23 239 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0202638822717919 0.0468869414622603 0.000548207754146625 0.00371617547009823 NURBSSource NURBSSource 23 239 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0050485710139328 0.0141504497493687 4.97430987306873E-05 0.000308472594590987 NURBSSource NURBSSource 23 239 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00699054127461619 0.0179688341348072 7.7237920532879E-05 0.000804236720968517 NURBSSource NURBSSource 23 239 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0142464406859729 0.0326078717674564 0.000358367110872823 0.00348295515510034 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0246109613320163 0.0486103591849094 0.000949260302224369 0.00404239799635453 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00697554092919915 0.0148213764431654 0.000101056183076425 0.000345415408912015 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00750131944830013 0.0181718399147253 8.75013099962892E-05 0.00081669646417981 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0143140139227388 0.0326761031212942 0.000355445549523003 0.00348381531002301 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0343128970767767 0.0529220117126372 0.00223473991772793 0.0049701149818343 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0106960176940112 0.0165583951705679 0.000258905015206683 0.000457409308478477 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00883741155642272 0.0187046442875611 0.000125579164096374 0.000854431644595899 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0146010083372208 0.0328813856694556 0.000363813800597194 0.00350160164940773 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0586936767475385 0.06682400140247 0.00782355447201285 0.00858823449810596 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192793787490131 0.022053046115856 0.000909505821754824 0.000919070931916758 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0126271239916052 0.0204722701111497 0.000292481275995362 0.00100132448587854 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0157384612052393 0.0335682301327953 0.000415755313230562 0.00358055025940842 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.165272713037869 0.151165785113735 0.0752590266958954 0.0463058330196777 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0556752587980649 0.0527233753946317 0.00817553053253544 0.00617224304466427 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0316392263389719 0.0331579125145296 0.00232702093387296 0.00256813035899777 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0247188598897699 0.0388189462591084 0.00113495418604292 0.00441279644463233 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.273372150443716 0.24732499104708 0.221127060669284 0.119559389846543 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0921845449221924 0.0857565875858572 0.0232138209999769 0.0166817068439231 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0519121083161944 0.0494633214324788 0.00668016870922117 0.00572936426279583 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0363598617369906 0.0466701047847304 0.00274584783492607 0.00604180238962296 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0500463377788852 0.061144096206298 0.00544593824416527 0.00713091069859126 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0163297755724773 0.0202229683676131 0.00064038609123451 0.000738599868494672 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0111982598496338 0.0199749474157663 0.000221732607189129 0.000951468580344995 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0153521425699359 0.0332352943426461 0.000423223596671263 0.00354868629943871 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0937492414051065 0.092321109731642 0.02193637087838 0.0174381418509697 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0314267955963404 0.0316725034046903 0.00249594846202921 0.00206035547057423 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.01841389955923 0.0243966631813907 0.000695866487147584 0.00138393278407388 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0182737278026055 0.0347188140449088 0.000610286620125786 0.0037541882478401 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.184494387215935 0.167421408913582 0.0943510087686744 0.0577543007503995 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0621364533487214 0.0578448767188347 0.0101762913636845 0.00744400044292821 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.034256073120423 0.0367251073922277 0.00272317663843572 0.00313316553013042 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0264400352186231 0.0395360867108922 0.00138585272901532 0.00456821827135064 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.548343642356451 0.501709200945841 0.964300564632357 0.461133425456219 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.185463323978089 0.166799607425341 0.0980844769461384 0.0620474171361358 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0996429068005571 0.0953966927398065 0.0260340363691648 0.0216256931770156 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0661593256948576 0.069733187128763 0.0103094637915303 0.0129317996048563 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.911363168008797 0.845710390462291 2.84094755470121 1.17638933445389 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.309223617904875 0.276197325955269 0.284463366625708 0.16352312035088 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.164382140229286 0.1549637555236 0.0738827144793881 0.0569039317388696 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.107884429766922 0.105822346354909 0.0287037871317649 0.0296109082537918 NURBSSource NURBSSource 24 240 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0453535457417359 0.0217753300915667 0.00734684708162452 0.00150416933696063 NURBSSource NURBSSource 24 240 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0329324040735437 0.00946918795604791 0.0038359841154111 0.000349763823830354 NURBSSource NURBSSource 24 240 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0586111337688263 0.0128153078969833 0.0135563540072912 0.000889964026470984 NURBSSource NURBSSource 24 240 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0954535550013628 0.0215695430326127 0.0349090502314881 0.00268254165106524 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.048366426250048 0.0265591367139274 0.00822521130191856 0.00211349682341163 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0335313400060536 0.0107150755595439 0.00392186783363019 0.000425330180886859 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0587424272305782 0.0132636776746942 0.013566159832381 0.000922556611425796 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0954445641953891 0.0217385368856539 0.0348610890552776 0.00270765562579381 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0556437431721854 0.0364420432188719 0.0106020068524587 0.00374929542825811 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0353201654852287 0.0136813957809045 0.00418205160059685 0.000635902736472681 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0592874409755947 0.0143665712471715 0.0136448325131038 0.0010148550541288 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0955225518072914 0.0222053889402146 0.0348339337776696 0.00277593736644003 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0779652902820371 0.061201377056631 0.0197545981023956 0.00992502459676102 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0411933471433427 0.0215976243528016 0.0051781346470442 0.00141384411660697 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0612477900935122 0.0176002515817489 0.0139713714437371 0.00131915120309253 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0960165293803004 0.02354469924526 0.0348842284312079 0.00295100636305974 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.192086415158949 0.171244429370101 0.113484919083636 0.0700713094496771 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0752221667637916 0.0580306215765678 0.0151283903150762 0.00898525557792978 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0751375494487093 0.0353834258614372 0.0172723848352687 0.00402390726068465 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.101249510648583 0.0325651470435722 0.0361897543997256 0.00439749942827855 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.311683118831937 0.283411807350614 0.301978076668178 0.179776645851938 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.114673443007564 0.0956384458989075 0.0349481480132424 0.023330621953718 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0934017921246771 0.0551072951534386 0.023587515770028 0.00895663288552585 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.109337730484083 0.043830945935417 0.0389651481933131 0.00690319604354129 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0705475650816643 0.0518290542151274 0.0164269765669757 0.00739988640002758 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.03896812206915 0.0189081054140862 0.00478526066915675 0.00113069230578646 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0607365509817754 0.0163892846807074 0.0140507039668453 0.00121869801419814 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0958934585616311 0.02303446555397 0.0350819076178999 0.00292189179363255 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.11587055216859 0.0958878846994834 0.042048988884244 0.0240731438386464 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0512005355659785 0.0339149670261785 0.00743351327988985 0.00330827000709035 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0653176072574031 0.0230817945425062 0.0151560310137191 0.00201191189272232 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0974065588756391 0.026276112389395 0.0355973837107567 0.0034341437972084 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.215576778313375 0.187189280545804 0.142437692240466 0.0860037255813098 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0817325254561185 0.0656914932254825 0.0178452803585751 0.0115509531987308 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0785628695427324 0.0386291502889435 0.0191497018343925 0.0047852459746749 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.103102236637798 0.0348028716407837 0.0377762364413308 0.00509963693219344 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.614189271166641 0.557607827964615 1.23809596142185 0.636541114368722 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.216576521833209 0.194524500368372 0.127322209825645 0.0910798642276353 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.147424490497481 0.10668287854556 0.0563022348182198 0.0308432316693597 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.142390104223275 0.0763494604964745 0.0580649891248527 0.0188130484796358 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.995016817506047 0.948932391191585 3.46196726484048 1.60665816108028 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.3486067593558 0.318394021151705 0.335481033475435 0.23196694473506 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.223583768034802 0.173585452908786 0.124230905380306 0.0777426152337189 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.192930323886957 0.120767802886561 0.0952666301056024 0.0434253813786252 NURBSSource NURBSSource 24 241 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0221199448808527 0.0227570088309062 0.00144793074418016 0.00119343870452184 NURBSSource NURBSSource 24 241 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0186695967621677 0.0163156075171681 0.000393520808048383 0.000649275203947239 NURBSSource NURBSSource 24 241 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0375426036873681 0.0235329982094435 0.00120138682468817 0.00132751214041725 NURBSSource NURBSSource 24 241 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0588490049744777 0.0291291767022007 0.00301905563757272 0.00167156983135177 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.027329013695655 0.0260144276332958 0.00213947586903215 0.00156731249204358 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0193107300542682 0.016912232713707 0.000444617919525836 0.000684175509324855 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0376385827986571 0.0236686726654545 0.00120823783163115 0.00132594252817701 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0590082944997173 0.029176677355213 0.00300818734709127 0.0016624602383792 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0378267773134627 0.0333279062128253 0.00404373049640233 0.00262985567234844 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0210693272969474 0.0186010265727773 0.000595401394766266 0.000786222618052333 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.037824656675618 0.0242192422037037 0.00124013542748322 0.00134966507033481 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0592152525190681 0.0293925070733899 0.00300953362236896 0.0016701752191558 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0634061910031265 0.0525825607989617 0.0114447333899206 0.0068097240802346 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0268892798228858 0.0236007574434659 0.00122188825100421 0.001196799023411 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0387046037508036 0.0261235213153211 0.00138558100619932 0.00147107788353223 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0597847741367429 0.0302864517441529 0.00304867622110135 0.00173337835812261 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.175264761093925 0.141893219051711 0.0908919564656203 0.0502934443914092 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0604438882253264 0.0506034416290052 0.00864521284535523 0.00584007128536874 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0488638578748099 0.0387208391389922 0.00311877718563461 0.00303077997738223 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0638344093295327 0.037834203924732 0.00371227447648678 0.00262676113932038 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.286150100042806 0.234342602200666 0.252208608993235 0.133065060295704 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0972089099229664 0.0798885721634095 0.0242650760863892 0.0151845514409364 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0649473779302921 0.054596110040784 0.00684356788650751 0.00641902196000348 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0709266620452138 0.0483920305234578 0.005215015138196 0.00462970047389811 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0528718831048222 0.0451034490698576 0.00797921799464616 0.00489727069403478 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0247351241090317 0.0216768686858773 0.000936754791456532 0.00100814031232602 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0382582729584196 0.0250738240721054 0.00135949104809478 0.00137693711692706 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0592724377231687 0.0293928591302436 0.0030783243651006 0.00166056296672048 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0972079039547974 0.080081831769654 0.0274890454755715 0.0158466263085295 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0369471414588912 0.0316569277844665 0.00265571304444523 0.00215681003175776 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0410834766262415 0.0297860252421189 0.00183683312803257 0.0018210606601858 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0603342482891322 0.0317625985153185 0.0033144048066105 0.00191713611161395 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.189187227314731 0.154932671564346 0.108442993487244 0.0584373040281071 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0657858072967252 0.0548042865024777 0.00994162383411639 0.00693787725204813 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0516408964081086 0.0428558002770468 0.00380239882323025 0.00402471727921106 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0645023422477929 0.0398237755128165 0.00428775078372246 0.00330320858560328 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.543671091720726 0.466409932147257 1.04382725511837 0.474338404162353 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.184199013709257 0.15288708534963 0.0892778507678896 0.0567981053044878 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.113936343824274 0.109831289441095 0.0275221979251904 0.0338768001008781 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0997548534514706 0.0916426870417553 0.0159238651168876 0.0289180763051882 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.887842556440591 0.801456447439993 3.20062995815929 1.22130482835823 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.296406419493186 0.249932937686623 0.287678894590377 0.147035553693564 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.180052001600397 0.178600045300519 0.0771170477789351 0.101455388163025 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.149827126349337 0.151629296418751 0.0426275444392155 0.0909663476094989 NURBSSource NURBSSource 24 242 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0177679387129217 0.0474352578281245 0.000745607581190469 0.00384944812207843 NURBSSource NURBSSource 24 242 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0236036495971287 0.0639184541256375 0.00220217572823566 0.0201958060734992 NURBSSource NURBSSource 24 242 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0446663004556524 0.121715961228738 0.00851149183724732 0.0854167134292531 NURBSSource NURBSSource 24 242 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0672482635967325 0.185057416353934 0.0190078161915421 0.196987145458203 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0200935723609644 0.0492630796730565 0.000937536229149476 0.00417676703744727 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0240871791143714 0.0642557842669646 0.00222853271176687 0.0202645966789443 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.044838624883638 0.121700371553964 0.00852633713919791 0.0853684849006282 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0673213534833162 0.184928082572586 0.019014087094718 0.196840411387781 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0254739699833595 0.0544658128576053 0.00153227903564954 0.00530613318853641 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0251876061539867 0.0651423964461727 0.00230273286641298 0.0202975760353488 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0452057238656563 0.121602160575601 0.00855929331044563 0.084836623900205 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0674754539015943 0.184443447574549 0.019031795068439 0.195628310339595 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0401356721700023 0.0720451472555771 0.00401407713063725 0.0102600841077048 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.028411338911489 0.069126953503603 0.00259159846963195 0.0213386593917921 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0463577335897822 0.122876937598936 0.00868229353997966 0.0858752404091772 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0679358672654068 0.184947476975809 0.019095953233879 0.19715565712349 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.10932853871211 0.169731850727857 0.0330249114883329 0.0661096276475701 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0460468490648062 0.0931573059105227 0.00554517902095608 0.0296859839263276 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0529578049691601 0.131373090339795 0.00967642343249361 0.0897573540230562 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0710338153419469 0.187337445616937 0.0195536927828203 0.199054605689539 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.180942266836059 0.274224445154559 0.0951726286877426 0.175029489112264 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0669704411225778 0.121836987707073 0.0119797459447662 0.0451974429829712 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0612322371371823 0.142780347687403 0.0115259924269546 0.0967660266600387 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0751327203348027 0.192061168537691 0.0203330767411896 0.203547064819281 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0341540615018232 0.0661842082226988 0.0029004397202836 0.00861150832161474 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0271647683139073 0.0679389297135024 0.00252645961982143 0.0211395396669358 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0458912672212334 0.122450662025358 0.0086562863445045 0.0846824248944162 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0677089722262613 0.184554384583464 0.0190681903657467 0.195082061860275 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0605079972586627 0.102178446206047 0.00968378216393753 0.0229988664494638 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0336436084175751 0.0763362144672071 0.00335080475272028 0.0233808844456231 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0482430133343443 0.124994282065676 0.00897868031931918 0.0847590881623896 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0687886744497285 0.18455049827716 0.0192442603823131 0.193571093237343 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.116886963407919 0.185162373553987 0.0384515914530507 0.0816899142200899 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0491993606903146 0.0969941525829243 0.00652781567037268 0.0313379942666988 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0543078113814493 0.132269303105485 0.0100504252876448 0.0863061833988169 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0716930676826023 0.185609804191866 0.019769233037308 0.190968628597721 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.344002587527248 0.523979422907098 0.380872739715836 0.639197711159625 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.121531222872406 0.198876304279137 0.0415999749968015 0.113111586851466 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0860163410064323 0.171060504724389 0.0206091846577767 0.111381300965149 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0882055924049224 0.200254100599282 0.0246815762671944 0.196710589160923 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.595016040362057 0.828409029470922 1.23320407549625 1.46713196653518 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.192924192184627 0.303917295667548 0.107949720617024 0.260457855000335 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.119921164332961 0.216370962089021 0.0395919967041094 0.170397474536719 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.108990467817979 0.215184819898662 0.0354550063262255 0.201897648090571 NURBSSource NURBSSource 24 243 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0151516070219689 0.00969793917705574 0.000785131018026598 0.000283269590755708 NURBSSource NURBSSource 24 243 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00758863610794116 0.00669231643609457 0.000223385387256538 0.000177126337783316 NURBSSource NURBSSource 24 243 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0129512624798049 0.0114186023992639 0.000471890341565357 0.00056539303006223 NURBSSource NURBSSource 24 243 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0220077234132101 0.0190504849843176 0.000955394294808125 0.00166538369326362 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0193345091677555 0.0121994090761978 0.00117950571711664 0.000399009836021687 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00866532700945284 0.00731701169751944 0.000262785608038148 0.000195003375239718 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.013125142644237 0.011591534896272 0.000478490587091675 0.000575934855157493 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0221751329393579 0.0191470748895695 0.000958307137058815 0.00167580975846408 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0278721682873057 0.017298818319361 0.00230575458991429 0.000751279990767271 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0111712579051466 0.00865854960883551 0.000379311185639233 0.000243375306434144 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0136134263139288 0.0119903276353678 0.000504264242335877 0.000597747274307524 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0224343340266332 0.0193121873806356 0.000969655101905432 0.00169187392437102 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0481371551381955 0.0295749492301467 0.00663913157670982 0.00214059449680931 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0175856647996999 0.0121854085292629 0.000837074164692736 0.000423989706072391 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0154659689017033 0.0131748958233972 0.000616565072937424 0.000668499458820409 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0232405058899656 0.0197889249283417 0.00101940555897961 0.00173760761893406 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.134203672930927 0.0847158827258401 0.0518203665462849 0.0164046700938158 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0466721437581925 0.0294204900016472 0.00573414383756862 0.00222608561630392 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0286118984349561 0.0200497224588452 0.00194441340053447 0.00125735773360252 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0285709534102371 0.022897327885532 0.00154195206201059 0.00206880871027439 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.216944399219563 0.144639844620842 0.141301652144489 0.0443207979395645 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0762704369607231 0.0478562632388907 0.0156236650112591 0.00570841629170405 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0440566865227441 0.0283733491588002 0.00469417220440484 0.00231812237822706 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0363572560358306 0.0270003737672286 0.00261371285042524 0.00261709863150661 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0402770896185484 0.0243677595650164 0.00485012495192314 0.00148155307219448 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.015143986857289 0.0106540092926822 0.000643907387192135 0.000328153889379347 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0148224552286319 0.0125330420647437 0.000580502607332329 0.000625458498799997 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0225371215869798 0.0194672206021907 0.00101432125322242 0.00173254974081917 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.075185715476612 0.0453352548383455 0.0165973066324296 0.00500954365311217 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0265450576757996 0.0168387987405163 0.00186740117955424 0.000744243555535317 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0190972223137778 0.0149140019500491 0.000893719595575913 0.000775825088109514 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0239536380336526 0.0203475246262927 0.00115405682190639 0.00181726873029702 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.144799299166204 0.090094370504362 0.0627823487003964 0.0187849778221345 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0505100862279223 0.0306058599367417 0.00675438140837053 0.00235351165796609 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0304048205470101 0.0210976728807933 0.00217287549851389 0.00133375389595612 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0288108845439647 0.0230841344102708 0.00170189577591992 0.00212205373055961 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.394538122462477 0.295372326336773 0.540156897844413 0.161085790222612 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.145440739757457 0.0892918446576926 0.0585483481191003 0.0185051712972279 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0803772342501995 0.0512388721554944 0.0159419478805135 0.00679826528952343 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0582645638996777 0.0394452262143485 0.00740891300972331 0.00490612531632047 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.62988271109037 0.528583271686754 1.51610733063433 0.441800073192995 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.233426667662658 0.151133965474309 0.158159558480568 0.0502757177310369 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.129525296716366 0.082874921391669 0.0421934664572901 0.0168439488856059 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0911243940651492 0.0587049538345849 0.0190331353907672 0.00995145272026931 NURBSSource NURBSSource 24 244 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0174993777882105 0.014674215807466 0.00105615185797086 0.000718651766608849 NURBSSource NURBSSource 24 244 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00856413767443319 0.0103965713894464 0.000219261075109856 0.000392861914071312 NURBSSource NURBSSource 24 244 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0134499112573997 0.0164151176827917 0.000612275757586644 0.00131956034457365 NURBSSource NURBSSource 24 244 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0253749572338529 0.0279009767254955 0.00245388096600847 0.00471543007839973 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0221315588283778 0.0173816448602392 0.00155578365882568 0.000876695033437093 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00974853457927453 0.0109650882181073 0.000266902266294439 0.000407486980527209 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.013702705713924 0.0165400158680261 0.00062094463868728 0.00130852624849328 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0254008971556033 0.0279105050994088 0.00245661196456507 0.00465582572914446 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0312273945394842 0.0224375936463945 0.00294296602969664 0.00131637781698364 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0124243119162491 0.0123457233981256 0.000407896776375491 0.000452171830433674 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0144600055882225 0.016980198350732 0.000657969212574067 0.00131732423443133 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.025600366363747 0.0280746098541817 0.0024783009245932 0.00464159934965547 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0531035345965853 0.0352473539156606 0.00825732975622432 0.00303671876670537 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192306180701347 0.0159543294222016 0.000953427280286148 0.000633358608681164 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0169590619719741 0.0183763700285504 0.000811190292406377 0.00137172459187264 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.026399345778266 0.0286797609820202 0.00255935325262313 0.00466887273126564 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.146524508865741 0.0954553843864923 0.0634623004593457 0.0211290226902161 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0504619532322437 0.0337477818824796 0.0067026082401675 0.00260645925808921 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0312697047001058 0.0260912910618328 0.00240763683860656 0.00188605019941482 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0328741651449735 0.0321622832075307 0.00326001217420191 0.00471307115185293 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.23622783897495 0.161566988690908 0.171514347376161 0.0571533583694265 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0829431607428734 0.0536358703357505 0.0183911899401515 0.00677589796341208 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0475342095937063 0.0350448688529701 0.00566181052254179 0.00298669607953987 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0416850411643287 0.0368077311927135 0.00469544001473327 0.00516494121103399 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.044537697700853 0.0298708912840712 0.00583028030156096 0.0021855559325375 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0163056295261226 0.0145664490655659 0.000682007269849691 0.000541062796506649 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0158492155893131 0.0177577298620631 0.000728467695110337 0.00132328587567559 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0261126076705803 0.0283409849215958 0.00248682608472879 0.00465114430325947 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0820802427029116 0.0519581365380149 0.0194579478419278 0.0064259967611202 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0282660678777419 0.0211505252250108 0.00206500179578138 0.0010111970334258 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0209481165321224 0.0204357045738244 0.00111773535759308 0.00143893558378501 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0282434880496621 0.029474198541944 0.00266637064991477 0.00468506592260053 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.157747357968576 0.100481063663345 0.072917031062306 0.023218039087027 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0534802128781706 0.0360966818072327 0.00754567117402318 0.00297276013776972 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0332958177604319 0.0270157619412611 0.00270716772513277 0.00197184481298028 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0345702975028263 0.0326287135032527 0.00342168002990012 0.00492499998345673 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.429184184893726 0.325590045109066 0.61656988432434 0.203475693106682 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.152878551132324 0.102992535206382 0.0646133283329794 0.0246266846163941 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0879150484597525 0.0585793606779565 0.0196941292482377 0.00815760457394049 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0667123520285143 0.0493992051287856 0.0111586953586761 0.00766583708689709 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.688373037116508 0.576987336609233 1.73187050328698 0.555001082131067 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.243537301177319 0.174492462120983 0.173135658459011 0.0677949152640552 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.141006925180983 0.0933764203864449 0.0519625097843432 0.0232415578083325 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.101720399969883 0.0693143833442195 0.0271152865140908 0.0135495433060983 NURBSSource NURBSSource 24 245 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0237918023044024 0.00941303794662452 0.0019668342249935 0.000263842795359454 NURBSSource NURBSSource 24 245 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0146386237986242 0.00432341196025237 0.000384099060519775 6.24122620066089E-05 NURBSSource NURBSSource 24 245 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0273262523412494 0.00599763818394022 0.00100797774365358 0.000190317713673133 NURBSSource NURBSSource 24 245 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0458535379026584 0.0111530208721131 0.00281583484303329 0.000899566183763865 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0279309187942778 0.0122661960519251 0.00257435187678464 0.000414101372976942 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0153285997467926 0.00513030060495806 0.000434270433864118 8.08040920179769E-05 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0273736629653545 0.00625257822193731 0.00102517650476355 0.000204273070375743 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.045914441548146 0.0112357581114545 0.00284363647203513 0.000920928892471145 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0371361027369964 0.017906583331953 0.0043118562511619 0.000848189082179361 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0173141696795747 0.00680201280957361 0.000582119927406315 0.000133068924940676 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0277090759825896 0.00686514612725257 0.00107022366558489 0.000230245259558774 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0459853111747484 0.0114170158030194 0.00287720721443851 0.000947048276361308 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0606444836912418 0.0311999949921297 0.0109678928409936 0.00252204203495444 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0237084660214431 0.0110308705257607 0.00119455636404632 0.000335075669223576 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0291787166014771 0.00871300804086191 0.00125491410169454 0.000316567167186259 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0464120950119241 0.0121287615437394 0.00300813899065496 0.0010209585558152 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.167712818103665 0.0890567076167809 0.0810458445434472 0.0192323996235346 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0574578898001451 0.0303011861210314 0.00805334905517878 0.00243629676686544 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0418112872626918 0.0184556663449062 0.00332059956918482 0.00106693826766133 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.051321109378333 0.0172671350864147 0.00420297821660605 0.00152834880818973 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.273532858375276 0.150587139518086 0.217858475315159 0.0518322708587273 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0929688264442747 0.0498903812646277 0.0219701749176319 0.00646824946632293 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0595790675913742 0.029054010767064 0.00771726452410184 0.00242290359679188 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0595295250304584 0.0236748150225039 0.00646479272963886 0.00233579324166423 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0529454613119853 0.0257733947033018 0.00842059959151326 0.00182594086345226 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0210804459352206 0.00951492991793827 0.000918570033029586 0.00024585512692731 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0288979063515865 0.00795457559227621 0.00116566467357832 0.000264773891423406 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0461703886456047 0.011951623762638 0.00285290008163332 0.000966902181225895 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0962615516940006 0.0485370972460992 0.0269165123672995 0.00634182778195505 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0339868130684404 0.0173268335907145 0.00263152143707607 0.000793534532381755 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0327820892817988 0.0115269155389878 0.0016463386800667 0.000463859099292179 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0473703810729729 0.0136229135511016 0.00303219470467075 0.001101925198698 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.18624083064208 0.0965351683913614 0.0999533566540355 0.0237607740188107 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0631377991319704 0.0336823505943676 0.00977215066213919 0.00292473889632671 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0445482775389853 0.0199266426745448 0.00356026215031685 0.00122179567922183 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.051868165194351 0.0182349519444072 0.00384674668189477 0.00155432930520922 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.512925766980916 0.317185686925298 0.835890959156301 0.212038335220195 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.181602909611599 0.100535573855963 0.0858234677394775 0.0240462403426499 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.107016678918949 0.0558742943987094 0.024844588616727 0.00863696223098046 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0846306832952498 0.0400967069828295 0.0134442549748085 0.00532160729430011 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.791982493272575 0.582397265380649 2.23342774475686 0.601285037272411 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.288974683855321 0.169620482002994 0.226176174882795 0.0631928462937535 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.169531799973053 0.0916183967101648 0.0642664037902378 0.0213621502599596 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.125421722477272 0.0635252831754475 0.0325498851905413 0.0120873141733155 NURBSSource NURBSSource 24 246 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0311006973142174 0.0199452258437547 0.00341001037874375 0.000929570160769919 NURBSSource NURBSSource 24 246 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0128085992106389 0.00886616157018108 0.000289343598928129 0.0002144662138722 NURBSSource NURBSSource 24 246 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0196419285061208 0.0103377169336151 0.000328978289024215 0.000378908179962986 NURBSSource NURBSSource 24 246 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0328835708641719 0.0166022211938824 0.000934860676647382 0.0011400029472167 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0353645639663901 0.0242269588894267 0.00422479593365317 0.00134630373506753 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0140163167470614 0.0101165596127564 0.000354853613058618 0.000267393826246876 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0197868685003061 0.0108516341854505 0.000342893678142594 0.000410407512295217 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0328421137124658 0.0168232812325238 0.000945417291929549 0.00117685896809727 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0453367259873647 0.0337542339348073 0.0065716062977913 0.00263033503791092 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0169953728130851 0.0129560918316773 0.000560785667623474 0.00042402132592117 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0204087162345495 0.0120186063763829 0.000390347533850139 0.000482799780873926 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.032947826710829 0.0173042590798504 0.000973125385945455 0.00124261505391909 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0720503853476261 0.0574028682729766 0.0155940757844556 0.0078052479020334 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0257880481239701 0.0204340221752844 0.0014325130497805 0.00104548159582471 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0228988108127062 0.0154279725115268 0.0005889209137615 0.000738547944377123 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0335908640303417 0.0188867194925478 0.0010770613789712 0.0014420500309768 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.195127607584562 0.162164455357725 0.110776337115386 0.0619290349190238 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0683858086318265 0.0551341720312853 0.0114089011220709 0.00769635311063701 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0412485749483972 0.0335289257704634 0.00310738607866011 0.00319933594915482 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.040911779387304 0.0288960181532256 0.00221242727307466 0.00302865529012176 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.319292540521708 0.268563735122232 0.302418647155039 0.16312277716495 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.112477249641721 0.0909676448910582 0.0320444441525488 0.0208208865392777 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0638699246854457 0.0533745057944237 0.00869943687880515 0.00797837819255661 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0528702387229793 0.0414050995629969 0.00469121225865885 0.00589851310286538 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0635445603739829 0.0482411160390856 0.0121614986793579 0.0055347249810539 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0226392218187714 0.0177312218747004 0.00107416607630922 0.000783930051027966 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0222793237119635 0.0138360640188325 0.000524443812104201 0.000601095406869774 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0335878362629241 0.0179959153888775 0.00103513434122695 0.00130102865443878 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.11294326430563 0.0891107399766544 0.036785511180598 0.0191720473306109 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0389643990717593 0.0314353749264466 0.00350180301810143 0.00247113264543148 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0285034740076136 0.020315790552841 0.00111842601509699 0.0012059617370789 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0356412232694549 0.0212334737327889 0.00129889354091278 0.00168192165734318 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.215392810048107 0.174843764320461 0.133806659648298 0.0720192109814321 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0740670770874244 0.060514014950431 0.0134391936564404 0.00917980987481632 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0449719854174347 0.0356650926911203 0.00369858185119806 0.00355738694014845 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0429889368052008 0.0299998137801427 0.00235889607790402 0.00303195038064301 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.610673464410715 0.52401684023657 1.19540045455076 0.554166225036309 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.215390294656801 0.17734897978578 0.120906080060361 0.076047009391023 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.12102191518019 0.100939945795048 0.0340764164718739 0.0276963310670354 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0881343422609072 0.0729128646413028 0.0144716932863522 0.0160305724885061 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.983095639244896 0.88886473679633 3.40950946134211 1.38272534080281 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.351125040467458 0.290846238560755 0.334223826343384 0.193427749090503 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.196480055769179 0.164617140252806 0.0930765345772749 0.0715607635421228 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.138023850498318 0.116865881735227 0.0382547749864084 0.0402424897375105 NURBSSource NURBSSource 24 247 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.012045245389921 0.030356701275237 0.000308493447246802 0.00135432313257987 NURBSSource NURBSSource 24 247 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00729119967626146 0.0290125425979339 0.000158777023341453 0.00446856230541524 NURBSSource NURBSSource 24 247 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0118089142809134 0.0559403688726028 0.000504915820287472 0.0202361956741765 NURBSSource NURBSSource 24 247 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0185316045497482 0.0916752148715397 0.00121084690005155 0.0508346193400231 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0141234808495169 0.035201202858991 0.00040590015996384 0.00196854184146091 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00785776595487339 0.0301507234582663 0.000174115626912852 0.00460078887057518 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0119368866959557 0.0562332841264864 0.000511525152515051 0.020466313229243 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0185995747142747 0.0919493434928995 0.00121927072750843 0.0513155920046617 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0184627503064529 0.0458760681787222 0.000707267301396578 0.00379549658655625 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00903443185622972 0.0328900195572238 0.000216686950363753 0.00495497975562033 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.012270712153327 0.0570373388334503 0.000528346279971247 0.0208089926419673 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0187315232070592 0.0923397946685063 0.00123251435713874 0.051851280158163 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0295045663511582 0.0739813671889527 0.00197460121928095 0.0115411770277165 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0123262899582791 0.0405406796787476 0.000383547558042691 0.00619974292206184 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0133213162104545 0.0599213235266759 0.000589273715177459 0.0218622535620354 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0191653852638119 0.0936033881397191 0.00127412301548651 0.0532436886486713 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0811678841461448 0.20079116589764 0.0172944271211633 0.0962257061489609 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0293379251364776 0.0795116205936346 0.00221732886125104 0.0180011819406715 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0202248819518811 0.07764591086455 0.00118315285843464 0.0290742259203275 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0221533569766937 0.102766710210266 0.00160403679498827 0.0608004875921102 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.137923856334601 0.32619346976781 0.0557267416360927 0.254780013379266 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0476465575803797 0.121706751270453 0.00604298475245938 0.0404986650621238 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0290079693352889 0.098751483334856 0.00236723947394999 0.0403439257376564 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.026511904547979 0.11557372743195 0.00219744860419683 0.0713540170783897 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0255575060154591 0.0628491939211661 0.00145929377851855 0.00827558460573771 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0110491651640889 0.0372905473280275 0.000310278803127302 0.00570800121048749 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0128119660689199 0.0575917885985846 0.000559176360129014 0.0200953897259341 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.01891925897225 0.0908730951889632 0.00123874235789392 0.0494231594250838 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0462063958579033 0.112635183248359 0.00543288634226947 0.0294499744147151 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0174497080591812 0.0516046473722864 0.000769693339580434 0.0088972708846695 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0150481053872299 0.0622151067286472 0.000715167234716428 0.0208671552937433 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0198317728678997 0.0915038455862593 0.00131728002112898 0.0486660672046669 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0906976165383108 0.216187613413022 0.0238021817126645 0.11359524400069 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0321678991761064 0.0840205874672659 0.00287123264615341 0.0203391461449811 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0215370760230118 0.0748233784362712 0.00135626407898721 0.0242660852569844 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.022628003885752 0.0960276177285674 0.00161971358285286 0.0487773407365925 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.299955391225304 0.591288946507431 0.327255243015749 0.794971169337392 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0954458147626155 0.220034666840662 0.0322291396363653 0.132368531322705 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0535022017349321 0.140943339337114 0.00962404178662229 0.0616275242922732 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0412494055460647 0.129367853960743 0.00600264460247895 0.0638038939391723 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.573315672954009 0.87833084596593 1.31296802130819 1.605382464122 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.160770805972927 0.347767463322521 0.0981070108444956 0.332172808138514 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0853001664563244 0.213292452509987 0.022641781621881 0.13861378816289 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0616496131569851 0.17532528562069 0.0147746310539341 0.103138159909848 NURBSSource NURBSSource 24 248 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0057789611622421 0.0263982824638085 0.00012227835873392 0.00170887438340302 NURBSSource NURBSSource 24 248 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0046708019272367 0.0497512928862394 9.30679644314222E-05 0.015850917797187 NURBSSource NURBSSource 24 248 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.00751147700849993 0.0976012789805032 0.000211055158402989 0.0604279866618014 NURBSSource NURBSSource 24 248 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0112056881548172 0.146591462216238 0.000370629733872472 0.125344250714157 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.00920591429734052 0.032441204803033 0.000255811074834934 0.00255144927543068 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00523332973371888 0.0507830060594999 0.000108405232308988 0.0160758181051014 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00758166589109807 0.0977286658518542 0.000211529576514819 0.0604831734572464 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0111920055652005 0.146387698024454 0.000365437036142851 0.125187469163096 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0149078550297702 0.0459190215504397 0.000629185787532419 0.00514798300754612 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00659161413189082 0.0532155256462695 0.000152904243785465 0.0166455914948335 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00791883312532661 0.098251832856364 0.000222343106413835 0.0607174785683409 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0112564326834937 0.146325283019665 0.000365134830805908 0.125140500078076 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0274926651840434 0.0789421971642038 0.00209313457706709 0.0156418637621545 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0102072821543484 0.0599592675389182 0.000321779679484814 0.0185036515735618 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00914209928372911 0.100066463693756 0.00027252928401607 0.0615468374338365 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116172877268083 0.146458580341557 0.000378836153391096 0.125205702844509 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0803561628496118 0.223193448072884 0.018329427019298 0.127015222764809 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0270258812234268 0.0964635185803515 0.00206043839174491 0.0344570945733447 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0169203494895633 0.113878944149882 0.000813313083181849 0.0698963081958882 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0151626164791704 0.151536985859836 0.000606646609534393 0.130204307830646 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.136183969143111 0.366324929148562 0.0553248383986853 0.338419720322417 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0444978044466905 0.13875892428045 0.00555586569183988 0.0631878210425278 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0260844735419741 0.131866703822241 0.00186561695865085 0.083245726905084 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.020296452024579 0.159940744843746 0.00107339555078589 0.138148865245036 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0221125036350253 0.0658107340198315 0.00138654856047922 0.011220695071259 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00894894353772275 0.0574917956166681 0.000251209428916398 0.0178175146984201 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00889657944912847 0.0991508207814779 0.000269442828605659 0.0603704421174968 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116059058840107 0.146347216286108 0.000398902230526444 0.123643126205381 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0429810436790325 0.122565496681215 0.0052024361025424 0.040052819902523 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0153753172469284 0.0711268790847598 0.000687831175985278 0.0223978093062648 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0114854417248046 0.103045842894112 0.000410947848097703 0.0616255506066467 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.012623884634748 0.147220482962109 0.000465128734087536 0.122828751775653 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0864761172893821 0.240454532556445 0.0219498394711507 0.154071199842183 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0291797632551729 0.103889601019578 0.00241595329956912 0.0385405029803817 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0179650144531916 0.114506891207143 0.000936370748300382 0.0674951817803595 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0157569737819496 0.151094388764419 0.000710052618432024 0.123496546693198 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.289377029301948 0.661460562180065 0.295515846268345 1.08823773402137 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0868423144584695 0.249414206911986 0.0220788721226731 0.188579632625796 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0483252732943421 0.176401061248166 0.00725137538024127 0.123196749554066 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0342157733936458 0.179263092486638 0.00358310129674757 0.147782569104131 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.565974343668814 0.982934939319982 1.22705208630798 2.18802875012201 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.154446035231814 0.403835793029623 0.0820447233185827 0.515715328474193 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0840043696160522 0.279955587619315 0.0227791194254999 0.281885112019115 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0590293092578806 0.240129027638549 0.0113331745149823 0.218289466507856 NURBSSource NURBSSource 24 249 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0215138505538505 0.0384722634780393 0.00103110065594668 0.00270997872158712 NURBSSource NURBSSource 24 249 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0078511570702257 0.0162299968699767 0.000110821001099144 0.000521442560526027 NURBSSource NURBSSource 24 249 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0087191741416084 0.0202420654022988 0.00010301335839342 0.00109319012052295 NURBSSource NURBSSource 24 249 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0151752338978041 0.0341840985946709 0.000378752894993063 0.00374309975732533 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.025941020508766 0.0409156405227799 0.00148593247385564 0.00305181962079925 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00920492750510905 0.017046734452011 0.000155444428491924 0.000565776823021982 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00917980473910904 0.0205232480700885 0.000117320417708552 0.00110175804680308 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.01529486361617 0.0341877761709343 0.000388317700722272 0.00371476385524497 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0355517521094648 0.0469142858624097 0.00291213002045588 0.00403376594592577 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0122773980488271 0.018949484715015 0.000301753197183091 0.000694941366860683 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.010329385818295 0.0211439630922976 0.000158501690236742 0.0011395620948169 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0156075941226879 0.0343206384697009 0.000408869722515408 0.00370235873784449 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0597519812924031 0.0641983422418697 0.00887616688924506 0.00791158796262935 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0203096797631767 0.0245342701308412 0.000930760713777568 0.0012080624246107 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0138553734721734 0.0230300466070935 0.000328267986728328 0.00129243342323773 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0168730393263349 0.0348931800544414 0.000488329153359299 0.00372507717868678 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.167561210244887 0.154424856809692 0.0793333718666871 0.0483836682940612 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0565887627126471 0.0555146041907573 0.00826225382284018 0.00685915720798477 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0325097327681208 0.0355781599173915 0.0023377770040062 0.00295165766081707 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.026307356161003 0.0396859899286293 0.00134042522265696 0.00437313923493369 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.276919292641155 0.253188580695393 0.230367197879279 0.126105171439104 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0937123080751272 0.0894884452542303 0.023800390923712 0.0181328634087753 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0523647226424364 0.0516008994099911 0.00658036579363031 0.00632492065637971 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0382185159778582 0.0471424973562704 0.0031298038704316 0.00586990376838314 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0498033764014959 0.0557644032687973 0.00614025011430714 0.00590853589262789 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.017291276248186 0.0218529695586376 0.000650593137279126 0.00094429463452533 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.01251442671365 0.0222239910015263 0.000251045019615781 0.00123857906293809 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0163357740319156 0.034683076260058 0.000423891553517379 0.00375724819475597 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0916618220975142 0.088071200077122 0.0225685670269498 0.0157331329605406 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0315943748072595 0.0322971815286422 0.00240499166762374 0.00220633687551357 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0193749479623464 0.0262170091167011 0.000729128809143577 0.00165353451251932 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.019254486918187 0.0359497412777372 0.00060263927188635 0.00390724186179678 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.179002881826613 0.162984229002805 0.0929945974517588 0.0549342856470311 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0616293645316854 0.0569972257942749 0.009799968385763 0.00731434037940906 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0351379792207992 0.0373451833962107 0.00277659850408637 0.00332997183653272 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0275527936340581 0.0401275438410493 0.00137539308654919 0.00459225560279201 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.529716997461327 0.488887889736992 0.924878778085668 0.44237671203627 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.181401157135526 0.16216377417355 0.0936623010371899 0.0592530941467719 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.100965864513913 0.0933899686534506 0.0264236573385484 0.021348323540114 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0693241699854754 0.0696499367509337 0.0108055007113798 0.0130073471576697 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.879522892560865 0.82357640637637 2.69687220020465 1.13348782770048 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.299735884389782 0.267363484416147 0.26774718542123 0.155814568436042 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.165149514302126 0.151836800781731 0.0746983375012743 0.0566001017422786 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.113472244645971 0.106527992696414 0.0309393369081722 0.0307421634828348 NURBSSource NURBSSource 25 250 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0788340316438372 0.0457863408502743 0.0732459110358485 0.00717579516044598 NURBSSource NURBSSource 25 250 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.316694144861173 0.0676088723902677 3.05216468680985 0.109569309701041 NURBSSource NURBSSource 25 250 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.686040115478302 0.155075963920356 6.06981847959536 0.337367084309741 NURBSSource NURBSSource 25 250 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.934780739449575 0.244116706211605 7.57132384249875 0.590448166011333 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0823442605149986 0.0500305673303697 0.0759612427135063 0.0115592389107824 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.317059985202688 0.069510314688702 3.03741439790093 0.110639326309115 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.68797819042199 0.15720353128219 6.07334948079067 0.339475908525667 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.937707111711923 0.24743751869911 7.60073817064802 0.606021887540036 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0901718489536846 0.0584963436825273 0.0839606150498571 0.0230924616949609 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.320708281496489 0.0739754658346802 3.03724043612226 0.114141243984715 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.690493043750271 0.161028192630803 6.0776560672925 0.343636072917784 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.94707833566804 0.247461626351786 7.76449368773218 0.583165320509233 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.113582940777983 0.0817402054286664 0.122366314204461 0.0643168037543964 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.331078352220882 0.0859152628407646 3.05022338502322 0.127372414830581 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.694006921093045 0.17305113852361 6.05141400890162 0.370930452895086 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.937923691931224 0.262069526723955 7.56478910307811 0.61907763915186 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.244016630870944 0.198706099314595 0.657883144010301 0.630252074705809 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.39436111776075 0.145539307178582 3.25703407553293 0.246247548497747 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.736390021238597 0.214828993559896 6.23641649136009 0.474286818082342 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.971915503222487 0.301567412193926 7.77195758026508 0.777223999626558 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.385202638304147 0.322563193738843 1.58829847714786 1.3581975161696 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.450056769705313 0.207790511501779 3.51518489043731 0.431540855669943 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.788787125720242 0.266850114163922 6.63189824943761 0.651396886750447 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.01319002179065 0.341517808720029 8.1222063069788 0.979546599796705 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.104552813654115 0.0714825284901939 0.113326047686092 0.0307401618427561 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.330466920767637 0.0855503773915516 3.09553642977087 0.13810633908595 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.698101248221031 0.168179045468004 6.14111859839009 0.356143065301954 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.944692419363838 0.254545835609934 7.64010833343559 0.602736522006332 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.150651603697411 0.116045187721847 0.22770811263354 0.152038801309395 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.352442808056677 0.113276727945469 3.19137673345618 0.222457091107209 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.717002153390013 0.189486560165824 6.27924132035382 0.413769082614972 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.961889746808879 0.269318499792747 7.77353626884372 0.642923456950869 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.252814503213214 0.215941841076895 0.564001123820425 0.699715400375132 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.402328609991663 0.159826771315295 3.41026922629375 0.302472318224317 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.757294987781886 0.235988878145085 6.60087601066709 0.61944475797901 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.994517468064516 0.301639589713487 8.04123637420324 0.782648411685038 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.707304589566526 0.66813773157182 3.92319603798613 3.02340576968258 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.649909301554647 0.403695997314568 5.54036768695033 1.58271934607742 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.955952764285621 0.426170960666567 8.79112242770818 1.48250796669191 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.15245650019782 0.43938985189898 9.74917452484559 1.41949520599292 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.43834119403104 1.38187972430257 18.3454072343135 8.57569530029434 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.05234543995407 0.815564776874307 9.83056929599317 4.58981013061596 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.13574008764755 0.779981478751953 10.0076896189407 3.83606222920002 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.15972470124414 0.739679040314012 8.97046804336105 3.08053696344788 NURBSSource NURBSSource 25 251 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0831713090293828 0.18963794024392 0.525298823622753 2.57147900667376 NURBSSource NURBSSource 25 251 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.203490069825098 0.567871260367464 1.41672541523733 6.03485321342025 NURBSSource NURBSSource 25 251 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.449458465493722 0.893970739937036 2.02118812096436 6.33369990161993 NURBSSource NURBSSource 25 251 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.600722357059799 1.0372887129382 2.17699373901534 5.52021150322824 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0947359729013486 0.201856578307191 0.551785571720674 2.56492070150538 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.209514493352026 0.570636181505086 1.42635800493459 5.96561374611437 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.453507025249113 0.89402760222497 2.00791709805377 6.30041335017086 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.600799102819951 1.03325734992292 2.16933327371404 5.48473794579695 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.112464383130183 0.218459375108356 0.617568396118371 2.60536246330799 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.21792788948681 0.576692555363519 1.44414670130236 5.90322945550393 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.459031338665028 0.896000849877386 2.00373936959837 6.26817866757425 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.602901981869481 1.03149974026333 2.1688234853838 5.4519508332609 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.155045227515878 0.257781496974808 0.887461931337714 2.7969134097278 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.238052265906168 0.590019032837646 1.49397708996265 5.80292002918141 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.471048601859492 0.901858725468911 2.02078034837335 6.22940935112753 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.608742002668324 1.02743241859021 2.1875050644608 5.38689469743664 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.346883398295887 0.449399173899165 3.7605019450055 5.46625836311462 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.348616928930286 0.675773140649738 2.35019687188645 6.20697540779246 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.524233020126257 0.98503448925599 2.46610430234034 6.54731657769988 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.647754808026981 1.08802661846433 2.51669987784807 5.55122827884325 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.622179714213486 0.594894762647943 10.8210342965604 6.33255402069144 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.700744798337813 0.651136068070063 12.8453799913989 5.57522965588545 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.938397394938269 0.90654567816058 13.4486166977707 6.01371412686868 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.09466303790241 0.96994544561291 11.5067752662385 5.10244566199375 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.127634788172815 0.233824428119321 0.598726649196634 2.7370708534877 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.22723357934701 0.593201493229724 1.46388419934836 6.13145677729674 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.469096804069221 0.914218646327086 2.08266864303748 6.47512664689591 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.616321344340636 1.05754092500663 2.24053291360069 5.66455228292377 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.189876852267395 0.297339388362671 0.837615548213354 3.08746911008377 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.261545972774251 0.633699430017539 1.61963433776455 6.34348559199216 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.494530847500578 0.946243165852057 2.20550263287938 6.667629885155 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.633468872607038 1.08718078873741 2.32338691391514 5.83447049292579 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.323876188824643 0.460073396305727 1.9059889822283 5.32511561344043 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.336046217188908 0.731521016435628 2.18695198024173 7.35710501385148 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.554110238013752 1.04600204583021 2.61209831043614 7.3497475183923 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.675551838194015 1.18487525931744 2.58185027219583 6.37739056376444 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.13597509144097 1.16797729741625 19.8719244758645 18.8750517314379 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.883876079115387 1.0304444354874 9.75793968087656 10.6829887769716 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.935480517866361 1.28304377438645 6.59699404710466 10.8139583719604 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.92610147858402 1.37210514360183 4.76611577430433 9.17448170447653 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.01767292033081 3.37477121936255 40.3870439583247 70.6574466154774 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.45501379912137 2.69001457108247 17.4553892008848 26.0131228190731 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.38148321306908 2.4653135995566 13.274003755097 18.102353981718 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.35826538276102 2.3382254141721 11.1206953985612 13.833261989476 NURBSSource NURBSSource 25 252 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0327896217136745 0.0820206457092924 0.00307590476972621 0.0468488004993651 NURBSSource NURBSSource 25 252 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0590201656947614 0.151560347835348 0.233601903123903 0.333989988479012 NURBSSource NURBSSource 25 252 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.231986799893654 0.370278680186588 1.32572715648344 0.692408566670067 NURBSSource NURBSSource 25 252 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.344842615897769 0.532080205773868 1.56681225305028 0.873070020222679 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0357436978747342 0.0854819008513197 0.00717919511221906 0.0508531474279871 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0615810637565054 0.153540693145813 0.24546931617028 0.332210876214852 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.237220391929333 0.367693787490251 1.39078697204284 0.679108573135558 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.34967480498899 0.528888697658175 1.61945015860206 0.861575803222265 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0419969436599415 0.0922671933840109 0.0221283750905471 0.0580244039377127 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0659182887391711 0.157320908435776 0.259473703159838 0.332556125900726 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.240587812636966 0.363075226188714 1.42331299932983 0.656588437602064 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.352925324437146 0.520286145477579 1.64816959426628 0.832914270434621 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0585275393876897 0.112066660482253 0.0389689489721164 0.079295601125922 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0771593794856293 0.165911476106307 0.299276219603179 0.33964279388145 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.252448266854572 0.345459343330862 1.49934717987099 0.622619275132129 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.36089596061496 0.452024817935443 1.71163213966887 0.723310975464175 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.149962244641944 0.218413405539827 0.624805995330802 0.273821453513332 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.141456632114668 0.213949110985451 0.699050169880924 0.479891677345777 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.29954305417168 0.363473756994442 1.87520708504503 0.684207146417815 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.401441971443261 0.459430737646984 2.0439098822871 0.781732060578605 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.244154794204191 0.338333379746074 1.31585599388689 0.634401985784289 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.190539366849684 0.27336093601336 0.973328106416768 0.652122875780751 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.339197855402254 0.393981145095694 2.23062859025725 0.763875430535121 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.432810774453611 0.490438475010897 2.30145054198435 0.917797150479168 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0507703455156785 0.102322938223167 0.0267840562797911 0.073115014140308 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0699408058540155 0.16668056251122 0.25243107000259 0.357163363519138 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.243007567427838 0.348983855322036 1.35935702932826 0.633759626887719 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.351601219443739 0.452789337025422 1.59419391435318 0.715171788735528 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0827994232117757 0.137904407687663 0.119316674075147 0.114131494211494 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0848724893433491 0.189612084299822 0.291635773333426 0.40695514009648 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.256716050319145 0.364363807296156 1.40176760965126 0.669930358326443 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.364545968335158 0.466922643137935 1.63543828958685 0.759122933044211 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.156462011171348 0.226268818919527 0.543753661399368 0.295744940463839 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.125799472565491 0.254406974613036 0.460334477873445 0.732649411228563 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.285134322387814 0.395712936923608 1.53108949640789 0.752999213323544 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.391138627345857 0.494141130430361 1.7541216880158 0.835969414621445 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.537824055284802 0.787783789296469 4.28808525734607 6.17724582940733 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.312631254332798 0.643039561990428 1.77625385607596 3.54952606261982 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.508281686082523 0.654540837224964 3.3078778148318 2.27841172946676 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.604476218373943 0.692107592964541 3.19067709811177 1.98172101120468 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.64922838804777 1.36198515001565 35.1127508704035 11.7801200477649 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.05125954570911 1.00590787222445 10.505184903274 5.42172137943896 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.03085495757239 0.892094563169751 8.21338892934243 3.6516365117243 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.939572294068797 0.916943376450997 5.85240036771794 3.49999529868941 NURBSSource NURBSSource 25 253 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0353311752765237 0.0739961288821217 0.068852070583186 1.58424138405552 NURBSSource NURBSSource 25 253 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0939990226031401 0.244329168708637 0.55446726302048 2.85873314989637 NURBSSource NURBSSource 25 253 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.307098238313926 0.443238311173765 1.56155510269113 3.37338433645087 NURBSSource NURBSSource 25 253 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.513102508273096 0.585730647807067 2.44244903477714 3.16702898165093 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0402387385135765 0.0775358155726801 0.0698313001458735 1.58990614287606 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0980601723416572 0.245062764487687 0.555969820791314 2.83801474603876 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.309023754622718 0.443226701130765 1.56018559270081 3.36524667603011 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.514179764946492 0.585368970063523 2.44150709877504 3.1632087703273 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0500868295272064 0.0838549444768315 0.0776728065855253 1.59877634784118 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.10483597689184 0.24721707862792 0.562705982311224 2.82008835235304 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.31277352268654 0.443118059301568 1.56190665974486 3.35747512429307 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.517004675523967 0.585670939522953 2.44503369722784 3.16152484647786 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0732301259234333 0.0990965560411222 0.113284994537459 1.61410423368692 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.119434771677295 0.252808892422272 0.578738884359399 2.78980695621878 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.32244519620839 0.44476902701886 1.57756489596485 3.34590523854467 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.524118472078825 0.586370652832853 2.46081173990127 3.15785970564761 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.191038559318898 0.156014436803579 1.04552600773772 1.47432801775107 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.178131558049052 0.209721891826988 0.599743951603861 1.49176941460662 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.325075986896692 0.342979053799767 1.30405893324857 1.64961627639085 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.510173142470356 0.465975178726588 2.15058801821042 1.66073020757697 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.286652856022525 0.223463379595999 1.60996982022869 1.54394117637385 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.234310704439411 0.239507168187808 0.857009091631158 1.53708650858052 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.365745724757057 0.372973021821313 1.48733793762718 1.74368650255651 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.547152201814238 0.488670947202259 2.34831543709923 1.7150446096991 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.061134779186413 0.0952143670154306 0.0973389643248142 1.61901157241132 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.108187933989392 0.256513268948418 0.552356295491138 2.85553193586742 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.315352704081169 0.452406090886854 1.55403828117383 3.37850293234276 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.519236755696804 0.592092310388366 2.42462531731528 3.16947714628367 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0946424725486662 0.124984335980644 0.115037570713233 1.67428075754757 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.10138337287412 0.279943734084379 0.32001621362303 2.89717944580633 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.282295670925709 0.464490984734457 1.20702714527817 3.38724212750361 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.476876411060388 0.600896501373462 2.01883995252451 3.1661617003216 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.181101363232679 0.174686812483961 0.558195718546807 1.22287255464749 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.155523541247761 0.228496223606086 0.525440740040611 1.49640948297109 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.302871439034855 0.371347014735229 1.17739128440653 1.84020838091272 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.442521143926831 0.476091333257183 1.52587150262479 1.69522604300737 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.554706594194341 0.495250554200277 4.11152579124571 3.36120301504328 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.394064610543225 0.400252997709568 1.94525209170717 2.32145264552401 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.456561517120251 0.509679936190032 1.76030106156938 2.61504454956243 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.557514479646718 0.658841623902551 2.01799955673054 2.77149502688669 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.11639806075335 0.989410077804539 11.3208866009385 6.5018851231274 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.707291120867937 0.616133309986847 4.21103132356189 2.8419469115287 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.677591697648341 0.593644841739192 3.00100741501182 2.13775525163998 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.724262822399258 0.675398126781468 2.97788908931135 2.21630025842256 NURBSSource NURBSSource 25 254 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0347428718861106 0.0470815726147571 0.00472312545771243 0.285115446350218 NURBSSource NURBSSource 25 254 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0441172478107316 0.147399212562093 0.0856802369512989 1.66889964607483 NURBSSource NURBSSource 25 254 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.242235972452394 0.328477355455486 0.779622737126609 1.91867106801386 NURBSSource NURBSSource 25 254 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.377075306689478 0.415403661464671 1.15514480754573 1.49821072612305 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0400674252201512 0.048926034132993 0.00792433069897631 0.284481503373678 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0481648688492814 0.147947493727619 0.0874611310165982 1.66573069372788 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.244245304139305 0.328211684832586 0.779645725748855 1.9101064178778 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.37832873904365 0.414542097044152 1.15633619193978 1.49234198454401 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0494807254072533 0.0534183443006552 0.0176833387716613 0.284379013170285 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0545672800070923 0.149964525369976 0.0942643504839939 1.66276838472492 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.248156616888926 0.328350423195191 0.783855167018655 1.90016342838802 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.381481734036715 0.413874249825841 1.16236930092055 1.48394104070159 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0750054974867012 0.0669456817408379 0.11177612289199 0.287994834274526 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0725275980029293 0.156497845534318 0.179691607155478 1.65856405525229 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.258938034215245 0.329044490342905 0.822841384544652 1.86862631672994 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.389303784104066 0.412192535160492 1.20120513695209 1.4566693295172 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.174722542954287 0.138094422073311 0.379522826065463 0.36581960331455 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.127811471279126 0.191022673226097 0.300105073185746 1.66464170961906 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.287390622356284 0.343114670834166 0.851388591554968 1.82206153341119 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.406203954414794 0.418955448194656 1.24430888120563 1.41163880054158 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.281953630823836 0.221693868834051 0.955137073983344 0.615549024807075 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.198184630460743 0.22779661406124 0.686089296993349 1.70201303336815 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.323652135545782 0.370887357528206 1.03073710261929 1.85463115493578 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.425775838474817 0.43763767973078 1.38938797834001 1.42838769391413 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.060485768401858 0.0611033532894939 0.0241790126732903 0.287170433312133 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.060757355778895 0.15551501678726 0.100801121961571 1.66468706987606 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.259264274796932 0.335062173895142 0.821737846485658 1.92977817827865 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.393820376125032 0.421941996787669 1.21006572089968 1.52594710674299 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.097738158741299 0.0942463923667029 0.0806915985803279 0.594926399046417 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.080132325960722 0.168139203898477 0.135810532466787 1.6716180361352 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.283544621363664 0.343254893815897 0.923640404763113 1.94237808726653 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.417620012944101 0.435396120446928 1.33084754022996 1.60484468503636 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.171175231737359 0.166749324912372 0.179426245666333 1.25372898800496 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.122883050434088 0.204702983992593 0.259797008392261 1.76568389484772 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.330328662725 0.355053414225913 1.17198950108912 1.92346403814059 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.462908621364759 0.4355829331938 1.59765340395091 1.50170191191741 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.497525760139427 0.46314015211374 2.16247857543823 3.05293694825555 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.308411617859091 0.360174339479413 1.1069780875614 2.40211701868558 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.415244027031943 0.539207110788353 1.46931472855202 2.6429927100532 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.509039150633581 0.617172816339087 1.75014030925478 2.08527891588666 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.30669172610265 1.00700593349993 17.8069046704855 6.3853727720703 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.832308280059068 0.656138705468532 6.10920025107596 4.15865208530069 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.883933136736151 0.735354785890318 4.98426476407385 3.27675837304948 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.938093558782096 0.792255128882344 4.77957840176099 2.50554518673018 NURBSSource NURBSSource 25 255 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0445645815548368 0.0285468391020021 0.00748995983810039 0.0726715048366776 NURBSSource NURBSSource 25 255 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0592975987508806 0.0789279299344435 0.13423563476309 0.613119112578559 NURBSSource NURBSSource 25 255 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.221683930761561 0.241916452763001 0.604520581167041 1.01217094316906 NURBSSource NURBSSource 25 255 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.338197248887292 0.347480203716279 0.791370597250201 1.01328825471167 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0512342291458713 0.0313673569565777 0.0125553401062456 0.0736946884722563 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0630024951627967 0.0804631226724434 0.135333185391 0.61295374051611 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.222701905500971 0.240805225687499 0.603345321932167 0.999964020804832 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.337184562799227 0.345145875105338 0.790266999577773 1.00242616744803 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0629239109535165 0.0376902432444145 0.0213124452666046 0.0800854800790139 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0709297651043551 0.0838028763267293 0.170786906133348 0.614993242793334 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.244437603260543 0.241097741049615 0.751181325721128 0.989531702080973 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.378111600064862 0.343545515392928 1.02056875445682 0.99266611799807 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.09122905209026 0.0533349181581782 0.0528041127038083 0.102028384812759 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0837009468528437 0.0937925637852896 0.179512796638707 0.638309735966261 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.255525794172773 0.244670669882588 0.771129362018565 0.975363581753965 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.385697364873977 0.34401463344957 1.03535008634456 0.978523944926755 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.21291390234901 0.148951944331935 0.327766066746525 0.827873504477416 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.144553023569074 0.148325736657756 0.286777649804347 0.896325530315481 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.306468678199333 0.291618359283458 0.906408966710538 1.16646198690943 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.42328855962568 0.380628097321266 1.13967894591131 1.09326780180263 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.41759979463774 0.234170218868728 2.08362397610354 1.15477362427552 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.282079513943529 0.204605861076557 0.935491464870411 1.20085724960524 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.42426439777265 0.341199129202388 1.45343411070819 1.40090625161551 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.524013471663345 0.434107560922836 1.59935621300524 1.31697333518214 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0793612511015596 0.0476163379870639 0.0344782117815315 0.0836445629373583 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0798143431113682 0.0885620919922581 0.16259091925591 0.640446023473547 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.249181060703619 0.252576120953852 0.686687026596945 1.05910606054072 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.373249879067069 0.355819419909817 0.913775842520839 1.05666844097679 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.125483494705444 0.0826442422929398 0.103293667505143 0.138655769843977 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.104149165762558 0.105670014731617 0.19469641586243 0.677444021832196 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.270093731284691 0.270863926284842 0.724359546295895 1.15128152663162 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.392739194173078 0.369966073824044 0.955679933474372 1.11834945789332 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.228158630766032 0.165711781101279 0.509565209323862 0.444793803756562 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.154597354154831 0.156868782216916 0.310058960854183 0.893068770578302 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.311274095004725 0.320650391263503 0.833371930984302 1.44778793120527 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.422479607208755 0.410246945113972 1.04168004899322 1.29876779362098 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.632366870040191 0.627735760660683 3.44409356344627 4.53107531959764 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.387801669957649 0.421274985923108 1.48451007337338 2.4476705251332 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.519994366997107 0.539497906682012 2.01936213907086 2.6532177618959 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.609671095180931 0.587812478906964 2.19306078097569 2.22710956804436 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.4340904382832 1.23773826998894 28.0717261171881 8.98407872699993 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.04508302272364 0.808130425913862 10.6688260722633 4.46670339894402 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.05413229179686 0.822965756236664 6.67818313684387 3.90257287900292 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.12590334494257 0.852987328867313 6.23669207701926 3.29626084636435 NURBSSource NURBSSource 25 256 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0510596162163165 0.0440639725367256 0.0105905907780747 0.0662289873193453 NURBSSource NURBSSource 25 256 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0661333656780183 0.178599784640005 0.131997162440467 1.28872788875582 NURBSSource NURBSSource 25 256 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.20508956810191 0.447754577397559 0.653601056972221 2.51547879894946 NURBSSource NURBSSource 25 256 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.362742684162239 0.597639566233621 1.23437351994361 2.34687682801464 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0574755234859107 0.0484252892789296 0.0142010476873496 0.0677236231802166 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0711115469865224 0.180831194950691 0.135772601530843 1.29489648893318 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.209859934596629 0.449265751003229 0.664769377841319 2.52364918934225 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.366860493336336 0.599008879149495 1.25110537990296 2.35643659927318 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0695696650422777 0.058208931312715 0.0246825408089284 0.0730157710382658 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0788948851831125 0.185107683976786 0.144246709865406 1.30413626604719 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.216824846417506 0.45226922760595 0.681144929652595 2.53383949742892 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.372648923964665 0.601335301322305 1.27246093067578 2.3688083343394 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.098894399690411 0.08355410376375 0.0616782553891161 0.0954980819899108 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0986367980951001 0.19728219550755 0.176606958400848 1.32876378470026 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.233340754678548 0.460204951691191 0.727349877204532 2.56064692276244 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.38679327632267 0.607266714628003 1.32716463196962 2.4013415497987 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.236999264266103 0.207678341363905 0.477542284267547 0.411939389449126 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.191260641900461 0.25549218153749 0.51326008970413 1.48924522249969 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.314527075502691 0.506895733511352 1.0810538502295 2.7401683537621 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.454970290013862 0.642656204477236 1.6882033694472 2.5663574927884 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.373602963291707 0.337177589266211 1.15774681674539 1.04229831543295 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.342246831336736 0.294267689362411 2.67647572237339 1.5674052682638 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.50835255410581 0.495956491657004 3.4855226555129 2.64171956744024 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.680186259389656 0.59270459830116 3.94336564924537 2.35890554689172 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0863432403914959 0.0721181583626682 0.0441277532744335 0.0856446836807355 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0860937137693443 0.196126479215678 0.150781732238872 1.35047508458225 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.22147150197532 0.463868744178469 0.685951053027373 2.59770325860903 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.374044415064437 0.613483768517939 1.26116068900871 2.42919509136411 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.139122822041627 0.115123565352833 0.142626489925213 0.136670036705871 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.114222397422683 0.219075376750418 0.191822421863876 1.4249778398348 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.242218033475909 0.48436490866987 0.735104855776916 2.6969760630553 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.389249830849732 0.632782545966029 1.30087022282562 2.52110359757581 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.256227765364606 0.216153361101663 0.572850160485198 0.401446842662136 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.17783440347477 0.269969545350874 0.37380732167225 1.61623599310595 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.287509412511244 0.530589409602907 0.880469114066766 2.94380938150419 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.419013885816463 0.682164744679905 1.39457495738752 2.74322144685151 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.751829910729886 0.851989808784683 5.44208187384397 8.02687848950351 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.633098281411958 0.63498188156176 11.4047225439199 3.76385571968618 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.899780582666451 0.880532509147006 12.5184172443027 4.74364589288578 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.03441924685681 1.00600952197585 10.4814010017078 4.26904071164287 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.6241521365807 1.50284800379451 27.1781626759638 13.8893334591647 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.18153358916134 0.941817336949742 18.8651249139876 6.11925414054889 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.38825118344446 1.17800163619083 21.2172849186819 8.44637425138153 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.52747888863079 1.3476086096158 19.4808301187357 7.38080597094367 NURBSSource NURBSSource 25 257 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0195670054128057 0.110237982800875 0.00109328150510807 0.603067329772951 NURBSSource NURBSSource 25 257 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.016511164026324 0.346939625214261 0.00444667392854102 1.95184429222118 NURBSSource NURBSSource 25 257 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0451218491473774 0.696907383152913 0.02894729482529 2.65529169762532 NURBSSource NURBSSource 25 257 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.090012684382763 0.901970677488303 0.0778273581954427 2.38544036072835 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0214346390889242 0.116941182895452 0.00175920663084146 0.606160607197878 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0174163709431543 0.350661123661231 0.00459390055600805 1.94065313540605 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.045813899385308 0.702199802113548 0.0292102103334475 2.66700730068203 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0901269841608778 0.907244854891207 0.0779853676133477 2.39755458835421 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0257062786449566 0.128474064060596 0.00396074106054425 0.617332420271571 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.01989568827232 0.357007937101566 0.00557252269581736 1.93766696819949 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0471060205804348 0.709311049441358 0.0298484089433594 2.68494927855739 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0908655981364857 0.913984397028756 0.0787333006962892 2.4131398283997 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0394629478485377 0.161894585697063 0.0173463757543334 0.666276124541887 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0277825024615774 0.372123054056659 0.0121211710994703 1.95670027817776 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0512982517162409 0.725379560420855 0.0332236726823428 2.73133722002984 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0939346799651411 0.930078311382125 0.0821628031274649 2.45071639342307 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.113755911116288 0.314534648515394 0.22575407966301 1.13426096112685 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0819629332342226 0.447508140942977 0.172260474835647 2.11671561181591 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0874869711553213 0.786505758141024 0.0962249640608794 2.91598976607051 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.124594504410217 0.997097401023567 0.134573988351779 2.64211727702209 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.470574761987134 0.495595501073353 6.46268094471126 1.92414271131443 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.271308707366478 0.558543444726872 1.23787632455894 2.53628144451832 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.194382575284405 0.824830033637195 0.469463274815347 3.19578876267719 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.208380470176549 1.00114663010168 0.39356186356191 2.79976395491822 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0335290552491866 0.146739019588287 0.00852040191343427 0.626983113559474 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0253532602488792 0.367617161025165 0.0115149746340774 1.98050453555338 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.050472880419872 0.711416404492951 0.0324735351898279 2.65968121269436 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0930061577583625 0.916326395616171 0.080146678507058 2.40046598859552 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0617523101207065 0.207384178755831 0.0495397562003645 0.75288142676857 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0428798919859832 0.398442539023789 0.049059084222545 2.04564015350363 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0600684369192085 0.730519628859545 0.0451038527803038 2.68176688083122 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.102546249741618 0.934718979933208 0.093347624662822 2.4404257851733 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.134168291970768 0.333476536730862 0.318473312867762 1.19824529233413 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0879841353589879 0.46831902742726 0.243038325948579 2.20586178221781 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0917418949398106 0.756117389441609 0.131469457439847 2.64485132867758 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.131612863906831 0.945310181930271 0.173604390301605 2.4458280483523 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.492751932753721 0.81031704826192 3.36315064163601 4.66068856949994 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.322935440040808 0.778413663233498 1.8791254936705 4.37061741145615 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.318044485487337 1.01541427289359 1.31040467313884 4.4754801175838 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.330013111750305 1.1282978650313 1.01016174618034 3.5137877199955 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.60809724284357 1.4746514971022 28.3443577058887 13.1909140264416 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.07634388951854 1.41506241675657 10.7916445885481 11.8297997210946 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.893376286029116 1.55668845404447 6.70510396226415 11.1911614373132 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.860444713944112 1.67388477653853 5.75796267426266 10.1052350402477 NURBSSource NURBSSource 25 258 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0187846077035097 0.142520813798782 0.00803286202933408 0.661879691658386 NURBSSource NURBSSource 25 258 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0492890459529043 0.452296788625214 0.0413474586207983 2.07660866148845 NURBSSource NURBSSource 25 258 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.121414380604146 0.750858818508371 0.136562315891415 2.24294403475676 NURBSSource NURBSSource 25 258 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.192667036159372 0.891699835954666 0.244207378394223 1.78472239413414 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0215042536163518 0.156175870542344 0.00881901041042008 0.683331720637473 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0505362370013436 0.461270976623229 0.0415996565772326 2.1083854107099 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.122076762768973 0.762194766755142 0.136488598667478 2.27507942679732 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.192914065304719 0.900663891201691 0.243481445603123 1.80875834776357 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0270880417878208 0.17972161234562 0.0114310477591802 0.751783366185434 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0537113222989246 0.472836945686954 0.0453825088145513 2.15065299052324 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.124072463920142 0.773901462834711 0.138211218108841 2.315708344027 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.19377712071738 0.910389332101262 0.243709648710067 1.8387342435603 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0445063590995313 0.233305326605044 0.0308270528873085 0.945995071438002 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0632104439170369 0.498156061632195 0.0713709168545686 2.23849682138468 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.130963988421134 0.799309403399923 0.16010817527121 2.40778468511813 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.196394065952186 0.933229491321034 0.245798494202691 1.91093093528448 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.236317983004116 0.533482604834661 2.44500734303459 3.49605544135816 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.21265531533255 0.623406067551216 1.46964500611332 2.89844360350883 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.242105719937067 0.899299531319471 1.16598754024882 3.18438636308445 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.286782088540647 1.01865015785261 1.01878498600493 2.69260795342002 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.553336147174945 0.723234179236677 15.3679456806918 5.29276231354676 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.685687222555016 0.688251224595307 16.3291056142608 3.33251026290527 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.99580555260607 0.872793877848059 22.2234574690152 3.30331715785862 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.16031231014217 0.964687559410846 23.6015162436192 3.09968191959359 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0379176389184323 0.202423730572979 0.0284668543397684 0.757954234891817 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0567792471610515 0.483579967438063 0.0444495736512818 2.2785665362019 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.12932435947312 0.78518984329866 0.146996466460055 2.45526639774858 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.200008891600668 0.907653920533113 0.258707331839087 1.84088342702227 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0676204317207979 0.28699566369942 0.0682548725765481 1.06221562224693 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0704631138502782 0.515367133530124 0.0650498394133497 2.3445370293929 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.141638551841018 0.808324736566024 0.172913714080284 2.50258472023961 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.211001192144275 0.923533350924319 0.283671633504444 1.86911620247629 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.141915025272195 0.452114057673538 0.283486532922972 1.7679665214389 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.105449183649408 0.583456620459567 0.152072657726989 2.61727333989187 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.177522096490472 0.859252818015505 0.327921600354039 2.7096830297366 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.247320657201088 0.962777801202959 0.430915608499623 2.03279037133561 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.901086131124238 1.56904488026159 14.0360009153634 23.2291922339556 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.529115226279715 2.05799850622152 4.22333532362413 37.5675935080452 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.49793509155357 2.32815220676961 2.61230453091837 26.2414976036952 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.509123075424975 2.250767148445 1.94573835858958 16.8587498895519 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.76012350893126 3.48201209547246 28.2868557187621 64.8479252807455 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.06937702936243 3.27770669404158 11.5645046620599 46.983742435016 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.09725089239549 3.19934634139338 13.7597307384121 33.8184333999625 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.23864069429651 3.05725114217865 15.0453875758135 24.8061061963218 NURBSSource NURBSSource 25 259 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0415753922746104 0.0624126081690096 0.00522494262809776 0.0100286859429674 NURBSSource NURBSSource 25 259 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.024394824016418 0.123807918936605 0.00624812766914207 0.740110601076569 NURBSSource NURBSSource 25 259 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0694133165611539 0.39337321235268 0.0611774013844836 2.11686151249878 NURBSSource NURBSSource 25 259 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.125406087410485 0.599816478457856 0.124732502987965 2.35962343806152 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0449839778980946 0.0645820082546198 0.00711209081716184 0.0104740033598456 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0264423436443331 0.125937092705731 0.00698413222728158 0.743335249526839 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0703563105281665 0.394280406051845 0.0604349996659115 2.11231978450248 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.127352199083423 0.599499086153714 0.127600994809022 2.34756349104176 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0528801581459392 0.0696850015086856 0.0119912968888888 0.0119457893563308 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0306241394405692 0.129366399012213 0.00875108434700162 0.747144770896056 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.072838575250171 0.396945816843276 0.061072251552912 2.10958922033378 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.129887245728796 0.600833081044954 0.128293035105063 2.343583337295 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0757369713647695 0.0847142512531218 0.0311723750848887 0.0173589984465032 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0417714552578962 0.138242919800581 0.0156207131430681 0.759172585271699 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0807497889599165 0.404498244265587 0.066187576133276 2.10819077625493 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.133689182406907 0.605103069769025 0.129484846629771 2.33590301786961 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.186719901258185 0.172495002174606 0.227455718744375 0.127156212101795 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0922600199218626 0.18136596286666 0.0792343548601977 0.838597421082497 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.125706245799828 0.443808225988527 0.144256088420569 2.16575665583241 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.166751740697623 0.633617752378843 0.174703278143445 2.33470164064176 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.301139538951575 0.274529043483086 0.558851702517748 0.269827081582298 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.146201045365029 0.23065662000008 0.197424028928088 0.950254817920692 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.170889440852247 0.494087714022353 0.260108705387813 2.33675028029246 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.204797213223383 0.67591256285997 0.264201570171 2.3930545790096 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0645959398912981 0.0797428949112473 0.0141683145178054 0.018061929500764 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0360471625820405 0.131828987170461 0.0112003131149041 0.741244035715879 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0809771280151775 0.39854819673516 0.0680950751651268 2.10916551633488 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.133554064243212 0.602426721563339 0.125084882315013 2.34976405298396 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.103388129782566 0.112184280655742 0.0406316345575184 0.045707706723822 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0544326689236962 0.146729212136365 0.0253272825730869 0.749132899215947 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0973853747151481 0.40864201650508 0.0871711929474003 2.11129900728956 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.145268777004342 0.60746245515089 0.132822592230735 2.34083401465299 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.186061902896092 0.193457721516169 0.137867730275038 0.204489157019748 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0948074315827346 0.186866826188397 0.0821862475511515 0.848923088047675 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.132155959544433 0.43153994107885 0.153286943336657 2.13373788988132 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.171162542158733 0.623962364261015 0.168793415471579 2.33456701020589 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.648903194074484 0.547007817308595 4.2984537689164 1.27852278732831 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.359556017782556 0.372222694571125 1.57598341731342 1.49832297582114 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.366538641605967 0.592403216288746 1.25922910912984 2.75144588138993 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.37263444069413 0.7453205779779 1.12053039198027 2.7006354326265 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.27528734226596 1.05383535956654 15.9755716966358 7.64393255658923 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.700776987943135 0.686569666238609 4.65709849141968 3.7511900623502 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.692755854518709 0.867362764838547 3.97355407065693 3.89284611220855 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.664849374152011 0.997285314857016 3.06731760832258 3.6523047836622 NURBSSource NURBSSource 26 260 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0502085634120037 0.0334514107756073 0.00752245445788043 0.0035508329086746 NURBSSource NURBSSource 26 260 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0156309861540141 0.00987105415791302 0.000705215252671556 0.000304250221240713 NURBSSource NURBSSource 26 260 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0161180350623473 0.00569101540990745 0.000954217669862567 0.000135206363379695 NURBSSource NURBSSource 26 260 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.025277576964532 0.0061439697837722 0.00282556484134025 0.000214357120459074 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0610326672461494 0.0481210403081473 0.0112310862063795 0.00665547934467117 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192578868920017 0.0154318978911279 0.0010742173733779 0.000683051130411793 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.017889597820776 0.00858353702623184 0.00107293263734634 0.000255011091623913 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0262574038412496 0.00775682388485736 0.00288662888144301 0.000272776387972827 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0866023790057049 0.075430126068264 0.0224524098328375 0.0154739416568463 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0277694158581602 0.0253406086385212 0.00219354444988581 0.00177375457090419 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0216953221863339 0.0138448464705972 0.00140193019021052 0.000592551835069272 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0282978984466637 0.0107861445650643 0.00304512904768308 0.000429327261431584 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.150427162696258 0.13814427120336 0.0672988109110048 0.0490870762560244 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0487857820478477 0.0473863107562193 0.00663592013135876 0.00601791800890252 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.031568120991842 0.0256219377993484 0.00266604965549191 0.00188202151927698 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0335967453949145 0.0178822954873286 0.00361205011687492 0.00100264838175322 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.421162809693105 0.407849108845887 0.559606656336579 0.372956549618081 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.139110089798501 0.138978681337201 0.0543617548752634 0.0489689918385707 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0784011300874806 0.0747514060991845 0.0160883438655628 0.0149171935141011 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0603256938933257 0.0491173187283991 0.00919426683582041 0.0066911602856128 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.691092470816736 0.686352795882375 1.60949855197031 0.952115091622106 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.229277198379278 0.231592746460824 0.151520378109374 0.130286112998932 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.127429190168648 0.12407772217695 0.043279090560629 0.039867394785097 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0904673528183296 0.0810803230611386 0.02027462729938 0.0176305853367501 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.126229887547791 0.113945067909232 0.0476507190370919 0.0343009562740731 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0407635363955423 0.0385326103028869 0.00467936864116555 0.00403835971693605 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0278738609676083 0.0210340386967704 0.00211916618961164 0.0012980634944575 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0314037918577574 0.0151129812409149 0.00335586863342327 0.000765919406144888 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.235373012259205 0.220587367388279 0.167962912498053 0.120407826482598 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0770907146532793 0.0749035029722591 0.0165530724371407 0.0148340502766898 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0460896469280294 0.0406211461368963 0.00552127130476867 0.00457902079738115 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0411329658302704 0.027390940741574 0.00477840207412482 0.00223324228722 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.454839003294908 0.44232780739219 0.664428866638171 0.436475204553305 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.151238492844402 0.148877856703987 0.0645065496283973 0.0563443633020019 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0856442671373637 0.0803598529632629 0.0192305572741342 0.0171903613861369 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0638178375670631 0.0528933003258998 0.0103141552975208 0.00780821739991465 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.34627624833403 1.36958777021574 6.78114177151927 3.21323171259041 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.440571605814379 0.447773683173249 0.594751137982626 0.449636667185502 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.246400627222672 0.239154288197847 0.166879101519107 0.140536681566949 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.164842729401539 0.15574337308995 0.0686284189673402 0.063120462256856 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.26112784520421 2.35906770523635 20.208621023504 8.13619857558024 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.716461783328992 0.75671072202552 1.68779265010564 1.15190448893463 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.398803351209325 0.398283192919371 0.452747436563665 0.36992018283224 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.266414736584685 0.258766201705846 0.180369571407733 0.168339452128912 NURBSSource NURBSSource 26 261 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0312018833489437 0.0194813411662415 0.00306549405272957 0.000648536512380615 NURBSSource NURBSSource 26 261 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0101296307317089 0.00865049987665197 0.000320217908431252 0.000235394991658106 NURBSSource NURBSSource 26 261 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.00927299862642975 0.0123456416345362 0.000227975288942901 0.000735415722666865 NURBSSource NURBSSource 26 261 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0143391155756545 0.0199603069552561 0.000689620865444102 0.0021419436665795 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0415614228627685 0.0409305411332508 0.00502454226598333 0.00394961162585393 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0138574706206588 0.015817131450734 0.000545687152881082 0.000566396005492769 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0106454064989052 0.0153273299900553 0.000282606551709886 0.000834474767857659 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0147339175944338 0.021271739071558 0.000713022025777565 0.00220390160369669 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0617480614753791 0.0743596822139357 0.0107775506824546 0.0141175987371789 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0207036940055182 0.0265604173954302 0.00119048331613808 0.00163749149739526 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0136693736284224 0.0201959139747082 0.000444851415653676 0.00114091726906628 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0158911220943256 0.0237428618672477 0.000780514011329116 0.00236874226018791 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.107968104855558 0.144320780472395 0.0340676143455981 0.0543615141978577 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0364575154443369 0.0497194172075413 0.0037338192371016 0.006105427000162 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.021548487552689 0.031393852226546 0.00111615559936522 0.00242236127907106 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0196056932729527 0.0299155197965158 0.00105170763126481 0.00301694209169467 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.314624377420823 0.418591906193104 0.332598645940125 0.425009986524263 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.104438374951562 0.145093504380322 0.0319446553446234 0.0537622732965228 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0577093803166712 0.0813802490052489 0.00874755195417799 0.0167784547612574 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0407428700802109 0.0605570117447647 0.00410365221379662 0.0100010920318654 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.536044104652405 0.675353810315578 1.06994232356701 1.01144008840434 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.174321495287625 0.239054420118651 0.0927843611695923 0.14297726460471 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0949192219980139 0.132806821184297 0.0246412968734006 0.0453956101714739 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0641379021565101 0.0939935451786079 0.0104512025111705 0.0240329526932772 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0897359186291498 0.11799176222152 0.0231737510656681 0.0365199589274442 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0304575575854702 0.0412689264591681 0.00258739349726088 0.00415606904213042 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0185555798015892 0.0272577952420199 0.00081262348699442 0.00187736925386546 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0182917201548237 0.0273613969755924 0.000944580998651635 0.00272767900193568 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.169359180018274 0.231476149015674 0.0879811322400377 0.138727597237406 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0575201215925224 0.0802177412211114 0.00937249469428055 0.0163986887900895 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0326701233744375 0.0471306332900156 0.00265094351323813 0.00550712669542976 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0260427531531361 0.038783345934582 0.00170150663787137 0.00445515131073816 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.340959229203027 0.450005504005706 0.397795615335146 0.487343253321608 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.113434549076844 0.158593363397457 0.0376081101548102 0.0643598509975188 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0625925806025761 0.0892056381755369 0.0103482116308756 0.0203946173485425 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0443466158806354 0.0647608371184843 0.00482246221797935 0.0114583566106008 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.10009040804013 1.26291962936933 5.09660877204371 3.02457736065324 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.343398484031631 0.457621026515335 0.394611257623396 0.487449186275457 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.184611438207046 0.256967416445336 0.0995260582265486 0.169337128762588 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.122682080544671 0.176280205124994 0.0396638393771224 0.084994697990465 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.94694280211966 2.11856591390207 16.7110832962889 7.16261916966292 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.583734307733393 0.732947129992935 1.26769341137317 1.10927584592116 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.306781652247683 0.413792728462827 0.297892007352763 0.415291403694354 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.202112388552998 0.285273078475072 0.11372959071398 0.219475940368269 NURBSSource NURBSSource 26 262 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0247129463664 0.0393068951179818 0.00224209365972386 0.00312184761924995 NURBSSource NURBSSource 26 262 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.00997833436323581 0.033554223705839 0.000386105963627725 0.00664408881268003 NURBSSource NURBSSource 26 262 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0142144316012465 0.0587510343326756 0.000937874612657266 0.0281052899775774 NURBSSource NURBSSource 26 262 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0221152774029668 0.0919449924340424 0.00231049649719381 0.0688786933718112 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0325599219238944 0.0506293782873628 0.00349563749630018 0.00569663381489868 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.012534038891179 0.0362506228040029 0.000525571713188063 0.00709951200838525 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0152364671751261 0.0598359328638603 0.000987188427024811 0.0281954173828919 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.022542124478738 0.0922193651704605 0.00233320432845247 0.0685395216117052 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0474343380908262 0.0751401302798815 0.00704369774829414 0.0135124202603591 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0173084142876579 0.0426383778179252 0.000916608530012974 0.00834859213459113 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0171707969281258 0.0624743764039387 0.00111510709440481 0.0287138797798189 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0234632094510343 0.0932938644381203 0.00239600145727806 0.0685101812807146 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0826817201712367 0.134180708509 0.0211662026766956 0.0448740086459153 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0289529709640178 0.0592849850903419 0.00246795416556354 0.0128019090094298 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.022058003536042 0.0695711546344264 0.00158248913948603 0.0305655958417432 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0258851634486783 0.0966188147694093 0.00261448435608886 0.0690573051977007 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.236917624489688 0.385198576668875 0.184856264769366 0.360236512351415 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0805392563290471 0.137717636408618 0.0195598980971298 0.0545194395494867 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0468349354543118 0.105201027317692 0.00643038946152518 0.046135903865025 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0387579031448818 0.115164397353658 0.00466770523685427 0.0761261646915124 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.39972721500826 0.630668530611903 0.562142056712117 0.916601634554299 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.133248002892776 0.220656446119156 0.0553665269081705 0.133072304054224 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0742397767499419 0.145576478070195 0.0163818327224761 0.0742879549220615 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0541137218179991 0.13733090134199 0.00868708702398714 0.0901558737160587 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0693709176365043 0.11188555913894 0.0150023194598986 0.030938014509303 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0245941959982308 0.053095483901428 0.00179563063748283 0.0109663347659318 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0201692093296344 0.0672289438497178 0.00138926339989586 0.0305390471392056 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0250152719390628 0.0962715063110565 0.00255423355234567 0.070866570787277 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.131048707599276 0.213271608702171 0.0543158493248906 0.113344878153305 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0452947954603609 0.0835244964944133 0.0060505239775429 0.0222476080034016 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0292908801056501 0.0808349752078043 0.00261173818580069 0.0357017991553152 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0297859388890021 0.10398376894345 0.00314096065566025 0.0748019943391432 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.259766491409349 0.418485133291805 0.225533219280524 0.421778924585911 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0885346054564043 0.149837895316958 0.0236951412096694 0.0641894440991541 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0504404003710105 0.112118386425414 0.00752989820551507 0.0527291899912574 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0412458297682499 0.122340236896774 0.00531530786610019 0.0867115576897785 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.840723007438005 1.1752386026643 2.7682568330881 2.80605808399746 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.263039593285581 0.421096704535188 0.229458101155226 0.462595274805684 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.140935376279791 0.254049161396352 0.0625431026413625 0.208948421188714 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0964454365428856 0.212276838290165 0.0285186761962193 0.188155916569805 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.55502810048044 1.83389626761966 9.89373841846826 5.98661624212271 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.44029415005315 0.670506853362342 0.689948244291882 1.11714625148406 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.229528027287422 0.400715462508015 0.173126739054818 0.504725383801946 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.153055643284267 0.3156255659192 0.0736798653285178 0.388301531200208 NURBSSource NURBSSource 26 263 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0213368981144457 0.0110179408978634 0.00166727503687663 0.000409381492759954 NURBSSource NURBSSource 26 263 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00722608115280734 0.00358094076255168 0.000182577273338689 3.36140105518772E-05 NURBSSource NURBSSource 26 263 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.00521836210970894 0.00337295597253762 0.000170956489015801 4.6284939944078E-05 NURBSSource NURBSSource 26 263 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.00716291333015166 0.00520682018390213 0.000545875552159218 0.000151470451494827 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.03064035037333 0.0232795947413098 0.00319573992794977 0.0014827349487565 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0105051966399858 0.00786898476166329 0.000355061320896894 0.000156865711035946 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00710574836761481 0.00535119550778663 0.000227557232519381 8.69279188020279E-05 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.008106236768902 0.00614079143293978 0.000578798951429029 0.000174534108628324 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0486484323598169 0.0415544036541875 0.00756422404091079 0.00452568321217292 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.016913120203538 0.0143489653332582 0.000856063678488794 0.000526221309211058 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0104837933269772 0.0085469571829888 0.000379013159428676 0.000200305521236639 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0100393548694635 0.00779981920744404 0.000655572210865137 0.000230986545979904 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0897826695873055 0.0802124652029634 0.0247024862753741 0.0160950087591603 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0314525684998497 0.0279333745836334 0.00281473053517905 0.00199355919506649 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0180740066562188 0.0156261636858603 0.00095250679352755 0.00064389012939503 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0146643611503078 0.0118059489444489 0.0009311650361133 0.000435677319519731 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.257513295831035 0.236803380179811 0.214424886015496 0.118139244772432 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0918257980496785 0.0829098652806743 0.0237867464899933 0.016902466345106 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0503311847325831 0.0452989935076131 0.00691220108885566 0.00523173525527867 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0347984828252455 0.0303879199204697 0.00347757041493922 0.00248209298369225 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.42530539531412 0.400051553839128 0.632180721978249 0.289702679974137 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.151572321643484 0.137442172676452 0.0668288607428486 0.0441646191829288 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0829604041848319 0.0751519897350957 0.0189430137616079 0.0140295681190526 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0555812414090482 0.0496992788009906 0.0084544067909667 0.006429769671552 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0735477365138562 0.0661836476990184 0.0166891610831151 0.0111688015257675 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0258810861623169 0.023087284813247 0.00193155316664444 0.00136352889953952 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.015203472911403 0.0130181931330757 0.000699532105042098 0.000451765035930398 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0127809207408617 0.0102890459048435 0.000779274944288601 0.000346685368592809 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.141705779064756 0.130193745034771 0.0616551340370521 0.0403040153170885 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0502087943292157 0.045661212442468 0.00708341978733825 0.00527474526298787 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0281657144081919 0.0250174020634389 0.00221330864283796 0.00163584501117489 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0206688666594338 0.017469279406 0.00142677676159373 0.000874087611573786 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.277271373671192 0.258944613318665 0.251517099993589 0.138579722767982 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0993560082064977 0.0907984136463445 0.0279957185840463 0.0201338987159901 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0549000224330053 0.0494043817909065 0.00828396261614774 0.00624712465892407 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.037343569067257 0.0328322815843194 0.00397740102541431 0.00290411853611812 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.848243003675376 0.823621600146472 2.7418317792252 0.992410414191726 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.289795128405747 0.268896585665021 0.266847079479365 0.14686743372875 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.160469253049238 0.145717542447876 0.0746659171342761 0.0496882330003604 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.105814571251744 0.0955512433898462 0.0313127621896196 0.0229260082859463 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.45818632583673 1.43749468686723 8.38867051659497 2.60379602952239 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.477639204646555 0.454192762586335 0.791681828437491 0.356365283017768 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.259347875307196 0.240027952977586 0.209086706894331 0.121614298058543 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.171455197858422 0.156940858460087 0.0856737858380019 0.0581876941954401 NURBSSource NURBSSource 26 264 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0245245023183442 0.0194650379487128 0.00200738226055708 0.00125141346574375 NURBSSource NURBSSource 26 264 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0082845254464005 0.00737062336642064 0.000236715701662396 0.00021936068784661 NURBSSource NURBSSource 26 264 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.00638463641659839 0.00818508890568087 0.000231070437861553 0.000816828247394455 NURBSSource NURBSSource 26 264 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.00843775532829945 0.0132770077527596 0.000557919906782019 0.00260004380642925 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0342181775570333 0.0313135010503898 0.00365964953300992 0.00246180967880801 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0120459237461267 0.0114040444849096 0.00044020932870297 0.000368634566910097 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00817860202060315 0.0102540520056962 0.000290212657398591 0.000863632619481675 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00930343620650293 0.0142874234526232 0.000579673761281524 0.00260306419840092 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0529795884169131 0.0498298830716101 0.00843215415504885 0.00591127276441596 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0187162576903526 0.0176913332002261 0.00100729621126077 0.000793934286997889 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0115861829478432 0.0134349595744559 0.000457598576343428 0.00100032392705844 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0111574700595807 0.0160433296638141 0.000650995847195248 0.00265652618756796 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0963745259599081 0.090887741851332 0.0275050409894023 0.0192278852354736 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0339561953852486 0.0317387767411068 0.00322942775438011 0.00247975425589493 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.019532343522403 0.0205368867604114 0.00110082724645461 0.00152319872992054 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0157482796222278 0.0200839576021469 0.000921626810963478 0.00287286517959457 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.277373350113784 0.263718194981438 0.244837453532388 0.143493723867261 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0981721271332742 0.0910741771745149 0.0273685204394236 0.0197071234420442 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0536041742233617 0.0516682052184668 0.00787087824621057 0.0068974527208568 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0366504996825226 0.0385684422944489 0.00369636294856656 0.00513159524900597 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.459544311950869 0.443678994715434 0.720040544679586 0.361988377314357 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.162327767863749 0.150842483328104 0.0774363340799626 0.0516767550456232 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0882096206490266 0.0837515362208847 0.0216561155309119 0.0172559671589936 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0584946098128866 0.0582731344413527 0.00926435320933169 0.00956560033348945 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0796791540885405 0.0758250762171531 0.0188751965615552 0.0134541106355936 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0279788223519888 0.026630074340578 0.00219545324198097 0.0017576418643394 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0164873352734436 0.0180731833973976 0.000828102851379763 0.00137824004069931 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0140802530183923 0.0188022102389925 0.0008447042503965 0.00297056962097126 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.15283690189137 0.145159645743318 0.0705226475250973 0.0472571043314037 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0535470831072041 0.0506038418658805 0.00798202242671944 0.00626758312100356 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0300494426894632 0.0305075756231768 0.00253301156953224 0.00284521358053087 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0223281298548732 0.0261600251713236 0.00160758369196085 0.00374849778033101 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.300166322752525 0.287707287787862 0.291025035588939 0.166982116476099 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.105573516365111 0.0995097227841902 0.031726166395249 0.0234666929240312 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0580358481986704 0.0565024238782568 0.00935614767679773 0.00841688150325997 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0400009612963561 0.0421045635678073 0.00456526012152637 0.00649049994210257 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.910704630714407 0.900578505186531 3.09231506455082 1.23734290971884 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.310308777010728 0.297037391273146 0.306609439145045 0.179506038844433 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.170120441299792 0.16208094902123 0.0851798491814273 0.0613510825612238 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.112737891233034 0.109501628600742 0.0361608866437598 0.0320666850489036 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.55603251756152 1.54959051777763 9.37787398232218 3.17481234575528 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.511753209750101 0.501386986036522 0.898617813093474 0.452403832968657 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.277181914351326 0.267627618008836 0.239825395364229 0.154213914370071 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.183192965726269 0.177787006829989 0.0985903510627148 0.0784868739747541 NURBSSource NURBSSource 26 265 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0260414577453645 0.0169027555636507 0.00243418284003726 0.000838934316599811 NURBSSource NURBSSource 26 265 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.00995225567966061 0.00519268762423777 0.000288387918623267 8.25405082608798E-05 NURBSSource NURBSSource 26 265 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00909771076498512 0.00433170442953132 0.000185345522185455 0.000100865797070485 NURBSSource NURBSSource 26 265 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0151053268542117 0.00655215471213089 0.000476698916568529 0.000304802728640939 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0436906759186434 0.0249565875004423 0.00591165511630887 0.00173621748467159 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.014628969962041 0.00794568985943838 0.00059670030623364 0.000179590475673437 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0109789797449778 0.00566538722275789 0.000261042164298498 0.000135144211763158 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0157554480917895 0.00718673913329784 0.000515399505023067 0.000330131946726302 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0714237954336008 0.0390917329727677 0.0154593319690951 0.00431563464869824 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0233087145028964 0.0127344843023541 0.00150307756082909 0.000463189402102263 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.014996778506801 0.00807875051085137 0.000493184754567219 0.000226946271723261 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0173143037173379 0.00846078154734462 0.000617532366150834 0.000384508581117008 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.132538899689498 0.0715880636829931 0.0529364934225043 0.014239113958997 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0430733290878833 0.0235335257737368 0.00512899784729825 0.00158266063636768 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0248815221133451 0.0136749454295192 0.00145692857894255 0.000575761541612681 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0220966294410322 0.0116205228808607 0.00102263589932373 0.000565279774257485 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.373457127491786 0.221429623802427 0.440688196699989 0.118700052981223 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.12555779203232 0.0689648628609698 0.0442531159600432 0.0130531408919288 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.068420770717953 0.0377232193150295 0.0121913471665203 0.00409770239378941 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0482023355864945 0.0262642309955281 0.00550926930646056 0.00220834328167707 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.589866115685044 0.394946552956278 1.18557906835484 0.340227303183596 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.206850559667393 0.116036064637234 0.122210515669227 0.0351964438032822 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.112631743505799 0.0622680362567553 0.0339129110441055 0.0108415595211257 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0766585862052999 0.0416771788691122 0.0146280974459573 0.00528248942693826 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.110081225660795 0.0600921132940289 0.036672319228931 0.0101648679610417 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0361169816459509 0.0197514578972127 0.00361407098711316 0.00111676680591672 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0213686248386351 0.0115001299936081 0.00105360841115456 0.000415420432905776 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0201992066871077 0.0102123303076429 0.000842949726003291 0.000451484678985244 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.211575770945033 0.117369212243604 0.13641879042698 0.0369085338734506 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.069771189872732 0.0382324658404702 0.0135785276492564 0.00414103734775027 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0388907369296102 0.0211090545070248 0.00375368938089225 0.00132073033927357 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0297509994956034 0.0157357987634475 0.00192542324737908 0.000851640509176982 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.404424953335329 0.245934401700233 0.523209436558488 0.146901679957506 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.137493995247927 0.0759378674454642 0.0535322410444581 0.0157654626219494 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0751687050812951 0.0410252280006914 0.0147555802939325 0.00483082062666082 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0518904484745843 0.0279178667454267 0.00635231930001631 0.00238135021367425 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.07383399707414 0.871516382672107 4.56006495580831 1.40680809622322 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.389589495430624 0.24035861619624 0.462508235171316 0.134875624670646 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.217316374527083 0.122464154000379 0.129624033928831 0.0392769107094599 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.144344910212549 0.0793631846701287 0.0526629713529129 0.0175868245615174 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.7254223704352 1.58093623792055 12.8064615915335 3.84031461203353 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.605376718352457 0.434568028645161 1.23142652465343 0.37724992338422 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.345232545432393 0.210005243133421 0.340322998207887 0.104865385842699 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.231903118254448 0.132615122873194 0.137041402946926 0.046472986871764 NURBSSource NURBSSource 26 266 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.041815563977539 0.0162723053838012 0.00630691744829794 0.000618887211185598 NURBSSource NURBSSource 26 266 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0117792862683957 0.00670438359101081 0.000388818789531392 0.000109337005510871 NURBSSource NURBSSource 26 266 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00732482859142974 0.00531634746241027 0.000112765214964518 0.000123655458111359 NURBSSource NURBSSource 26 266 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.00919203081279746 0.00773058674416008 0.000151099286534086 0.000361517771190353 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0591722477188208 0.0306393177099568 0.0116506266708848 0.00220730097910413 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0188076061249402 0.0108976250159753 0.000944647068002879 0.000298167903364636 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0107653192364959 0.00727892431840964 0.000254860425261297 0.000185353549238431 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0105787034083894 0.00859264922966697 0.000198505438288503 0.000388408292058466 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0929412174522376 0.053622440853844 0.0269249467800431 0.00696591514866061 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0312866194075663 0.018490056446466 0.00259536982755951 0.000871916557516199 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0172873229933807 0.0110088992466661 0.000699266959310488 0.000364306329640008 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0138123131290882 0.0104183212793002 0.000356403246393598 0.000469669446582759 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.1694126094555 0.103250765278222 0.0860497640146301 0.0256635104798312 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0587045333101445 0.0351256852902833 0.0091838604288608 0.00316521733034905 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.032011087806482 0.0196885646157819 0.00253287460221768 0.00106474766852949 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0223128629879631 0.0151475024041758 0.00103940374868725 0.00077510043269357 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.480455280029692 0.313928314089592 0.711274914957715 0.21126879996053 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.171885922733276 0.103938893849842 0.0806142869252302 0.0268333810611597 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0934505489300316 0.0565835089827791 0.0227164637117953 0.00829792111951841 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0608773030323191 0.0377532303401618 0.00892731917221685 0.00389630095588112 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.773549874253537 0.544807404694628 1.96152775934433 0.566808850666044 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.283278304324137 0.174095307731275 0.224665218981551 0.0718554677423867 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.154784497247383 0.0940824736299633 0.0636046424484246 0.0223266286561407 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.100318999283354 0.0615374831647016 0.025149038196697 0.0100009360483711 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.139639121278012 0.0853017828445492 0.0590099202052765 0.0176421089984234 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0489221336168545 0.0291181427368407 0.0063801742404265 0.00218332973789647 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0266945751250382 0.016426251571889 0.00174483792036713 0.000766294687452814 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0193542867749715 0.013458719727565 0.000775613738039837 0.000664849922650373 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.266935599295347 0.168848706862791 0.213255019250336 0.0665772452107727 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0951979084281625 0.0570944884276827 0.0244196246991463 0.00834159387874631 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0516372862702235 0.031280909848757 0.00680268895749291 0.00265063113450833 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0347382702677732 0.0222883530402033 0.00277391615889861 0.00151405806014468 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.515626926659665 0.344708754276287 0.8279147411852 0.250589940325526 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.188132138500061 0.113904172933663 0.0974026943302017 0.0321233713143326 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.102171270091664 0.0617643591574744 0.0273953155319571 0.0100161916617188 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0670323120342594 0.0415288088280783 0.0110751074914314 0.0048253071448366 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.43243839737911 1.16765870416856 7.57076354135531 2.15693188681164 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.538024513287978 0.352053241164031 0.870655775464918 0.263754221299917 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.29908938531314 0.184893964430999 0.247889053630752 0.0825036862675829 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.195645823852291 0.121231022236706 0.100436803054789 0.0382772023327726 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.35472844789287 2.10838137095477 21.9327725784488 6.01330596413652 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.853612254884792 0.612251501151462 2.38886654704782 0.695416893271687 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.480321603801778 0.310048553244427 0.671260101891842 0.21328527372023 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.318089388990797 0.200505751689256 0.272618804533087 0.0997699748262395 NURBSSource NURBSSource 26 267 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0113983299637059 0.0389829151771987 0.000265993718276129 0.00164286621152771 NURBSSource NURBSSource 26 267 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00338319985261391 0.013773612198689 2.73284625564069E-05 0.00036110085120781 NURBSSource NURBSSource 26 267 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.00279406297327126 0.01608850000397 3.25958824122554E-05 0.00134000901164421 NURBSSource NURBSSource 26 267 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.00444729822185918 0.0274854980837844 9.28943349398377E-05 0.00442083291622713 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0223800025552045 0.0492393098535911 0.00114904887117112 0.0036967945329491 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00759569666970464 0.0176433908435986 0.000140313674416859 0.000658092455059317 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00484747195417677 0.0182706934092371 7.31966174321352E-05 0.00150329559229788 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00532732514837927 0.0284062791781109 0.000112727923461345 0.00452310834048921 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0399603279482552 0.0734391300047305 0.00394380556987439 0.0103743340261379 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0139173346768858 0.0265353824029251 0.000487751374327436 0.00160041606776755 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00810646119976393 0.0223753597188708 0.000186693444396146 0.00191077323379608 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00702309986120462 0.0304490631594718 0.000166019638736529 0.00477907577135858 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0774608127075227 0.132135681768918 0.0157118452805402 0.0385829298455789 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.027143191011294 0.0477652119455726 0.00190801823816452 0.00548569708770212 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0151815355058646 0.032363250775375 0.000630315548051529 0.00334350322687595 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0110770718352448 0.0357207552640084 0.000362655917250946 0.0055961235739607 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.233163887175657 0.376361479629876 0.159340091107539 0.325857204001683 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0808553049740796 0.137922907899373 0.0177222615820262 0.0473513062706649 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0445642607974044 0.0790201890131564 0.00538686862958777 0.0172491886650011 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0294752785257081 0.0619585982236618 0.00238589870895938 0.0124137109933655 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.400269496845347 0.606181814668843 0.512701935643873 0.800825056935488 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.134877957026208 0.227986284774056 0.0510198431294992 0.128730194316475 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0741468065606787 0.128029201493496 0.015112606340176 0.0440689903081469 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.048503702331565 0.0914424679095668 0.00645531855076532 0.0249131034030899 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0634882743343308 0.109193443650147 0.0104109999555818 0.025554503983919 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0224054539638723 0.039389299748671 0.00129845073146262 0.00369319635104684 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0125396542946207 0.0284594051805974 0.000434541812873583 0.00273050109067812 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00961735631981418 0.0336254138547823 0.000281955776840395 0.00525822190395442 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.125598252312959 0.208175002488037 0.0431650689707044 0.100010785934824 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.044387463709659 0.0752409974714938 0.00522727491266631 0.0139779105736254 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0244065803065289 0.0462853672996664 0.00161629206011023 0.00634506708308581 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0168227189449745 0.0433849262079327 0.000802353625929913 0.00720190864135688 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.253526870788878 0.404374553063601 0.191184050790879 0.374212322003865 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0885839848943921 0.148333722457293 0.021486750748992 0.0549158603571651 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0484743437996313 0.0851439111613416 0.00639653632877306 0.0201568795822279 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0321453232266809 0.0659994356630764 0.00286102346515228 0.0140940847074357 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.855098943423222 1.1167716379682 2.64419266971654 2.36447637219935 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.268846842810509 0.428887897363705 0.220247603289551 0.437980701181252 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.144871884957353 0.244667656076777 0.0602784001835332 0.158647741208178 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0946158489778877 0.167848995055047 0.0254039324294271 0.0822752466538323 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.57462414236959 1.79992853472865 9.47916642363804 5.27958569691204 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.465257801264278 0.678781878592835 0.721794108546448 1.02288364449155 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.240766778314767 0.393337446732578 0.176787574383896 0.401058642299559 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.156215731940065 0.270243695333819 0.0719866507785823 0.212484538256791 NURBSSource NURBSSource 26 268 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0102928766872352 0.0307751967618491 0.000316862269290399 0.0017627808334446 NURBSSource NURBSSource 26 268 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.00433014135170606 0.0167228986036855 8.63068043307601E-05 0.00130631788830491 NURBSSource NURBSSource 26 268 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.00456674528834415 0.0300995202844151 0.000151052959413219 0.00625729024978214 NURBSSource NURBSSource 26 268 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0065598480948904 0.0495572990893802 0.000327245231802346 0.0176565707469968 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0236880353129549 0.0474840681994298 0.00160246786555409 0.00501930843471977 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00863643609117458 0.0216350774483915 0.000249125270705777 0.00180085535930025 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00650715254756338 0.0318157863002986 0.00021093028152144 0.00650073418971134 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00746620288843928 0.0502287304666373 0.000356404276881459 0.0177763376192804 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0434890468974544 0.0793900775660725 0.00542253129913574 0.0152504103273571 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.015220066024437 0.0312317747953105 0.000705866946979475 0.00318311013596191 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00968209555170194 0.0353648797691038 0.000364102547385338 0.00710495154148471 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00915690670832795 0.0517830456904181 0.00043077826083095 0.0181201244950491 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0849137268847001 0.150032557335224 0.020972509795386 0.0568726101428367 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0292377833697403 0.0537616572639638 0.00249786118518775 0.00844764665358286 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0168271219134377 0.0446272559582726 0.000930959065621318 0.00913914750196084 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0132252988535653 0.0562032130204862 0.000692955794577696 0.019285987661335 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.254937860981569 0.436307747079155 0.202426138851166 0.475412756581538 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0865993359735013 0.15143284628013 0.0217876919834115 0.0621561656240313 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0476164741374816 0.0914219256330698 0.00673819178254939 0.0275075419882769 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0321990632601049 0.0815598973930812 0.00325236892804041 0.0292442402437193 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.432261568027627 0.707569255223717 0.62455069642591 1.18937628419939 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.144450776513759 0.249789163552283 0.0618341047417481 0.165596611319517 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0788277182444964 0.142649094346241 0.0183271384974973 0.0619239585424172 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0522300016792909 0.11226301393574 0.00825949816332398 0.0473249483673823 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0696407270019149 0.122591895842204 0.0140630997766206 0.0376619777602528 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0240503499898031 0.0447618615013239 0.00170527936626713 0.00602612816180651 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0141361901042766 0.040943647958186 0.000685868609679896 0.00820172402817378 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116890346487352 0.0545669052880903 0.000583097572672886 0.0187152284358587 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.138432328387805 0.238725531978469 0.0570414856459566 0.14523626639382 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0473698024734808 0.0831471368519755 0.0064863737454003 0.0194222575252819 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0263814058985784 0.0584467770210055 0.00216020641091624 0.0130380492088065 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0189775124173131 0.0635091066043222 0.00124896718085891 0.0213573091779898 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.278712585381359 0.468454992239179 0.24452755013488 0.546698805359687 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0943752614869908 0.162296444038439 0.0259105779600743 0.0713667811976185 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0516664697109431 0.0982638267973669 0.00795803444600669 0.030651081208992 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0348966273100751 0.0858090168940372 0.00380620827184759 0.0305543217178615 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.91953845014609 1.30012475996845 3.15183151337108 3.51862963385202 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.285635152178801 0.469130982444937 0.254175587204973 0.56278249914778 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.153574762435354 0.267385529607115 0.0706770886554278 0.20178013722834 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.101082604501045 0.19170475212848 0.0306272765544801 0.117171350597572 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.69554521562805 2.06488015037622 11.2998644333363 7.59116266149686 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.494249825583898 0.741795349549348 0.810060722799291 1.32501885919876 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.259291275568749 0.428809282492196 0.205904824890338 0.50682869258934 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.169662192359655 0.30211749651013 0.0858940501120555 0.28079117951101 NURBSSource NURBSSource 26 269 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0539056262638982 0.041019590736928 0.00314864326757496 0.00225062845731159 NURBSSource NURBSSource 26 269 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0166879134704835 0.0114188827128579 0.000510364509973977 0.000236852605081043 NURBSSource NURBSSource 26 269 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00916789979811863 0.00846252486404298 0.00021196041012403 0.00028602241135666 NURBSSource NURBSSource 26 269 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.00708193657127301 0.0119706094347897 0.000144714525637299 0.000791462683073864 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0635827356096779 0.0468896846487235 0.00570166205644696 0.00331226986675021 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0213137936279041 0.0144497283785843 0.00087313723185091 0.000381596403829727 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0116808913738636 0.0100128034241059 0.000331294262512402 0.000339837953667288 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0084569964219444 0.01264099879184 0.000192720446729601 0.000815672050801243 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0878871519613782 0.0613749597493213 0.0141431489929542 0.00661227566392705 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0303640928957926 0.0202459481171134 0.00198755484098571 0.00082344398977328 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0166129021950428 0.013005943156945 0.000682213545357501 0.000495135879176952 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0114998970724208 0.0139699570837031 0.000337984140128666 0.000887690113599371 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.150765404438249 0.10102662371785 0.0520948160627106 0.0200964676217718 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0527761738434287 0.0344997388515269 0.00671876947327735 0.00264574735563029 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0287435915407806 0.0204377683991667 0.00211282656078877 0.00110227265447495 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0190228451581564 0.0177641329840941 0.000921303349489893 0.0011652589239362 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.420017031970792 0.289363570530495 0.510847767262349 0.16052016419641 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.149560706917399 0.0976108239821782 0.0612104099904391 0.0218490646175842 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0815539413980533 0.0542565704975652 0.017930325301391 0.00738213400098652 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0524072269369814 0.0376888041328341 0.00728912228742883 0.00395684609280253 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.680485495005132 0.497144853807533 1.46692640339354 0.435053737477967 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.246224744792494 0.163150129134659 0.17476914290725 0.0586504457275185 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.134628345374265 0.0892570935102769 0.0503257206533643 0.019412626355151 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0863448455825659 0.0592829060638373 0.0202291326982234 0.00930920517773527 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.127411144025883 0.0856411246823138 0.0349802807543016 0.0140769140737548 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0438119824898381 0.0290099288293238 0.00448590225003634 0.00182903836791942 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0239826112711305 0.017346368922834 0.00145897209450278 0.000800990642366432 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0160731210482615 0.0159298210830055 0.000655712147026479 0.000978736856445137 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.237369674240461 0.157664898445449 0.144548619235366 0.0496530538535151 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0822212684333623 0.0536976993077984 0.0173297739353918 0.00667983001561693 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0448914254294732 0.0304202326242954 0.00530599019519581 0.00235581106300755 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0293039494624376 0.0230542367771314 0.00222553320730477 0.00162808809387315 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.457614743866796 0.316396040716281 0.613208045400117 0.189291686783309 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.161071579611273 0.10535986052463 0.0715228013196572 0.0254157054738669 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0879281567403273 0.0582151519657572 0.0210741174129887 0.00843305532787289 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0569334772160648 0.0396178372468484 0.00862977190638781 0.00424035869387711 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.28798389338618 1.04177530657111 5.87967054234875 1.6327501902511 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.468866324535895 0.32513196174555 0.68287502059558 0.212325919251604 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.25719736189371 0.173961239290727 0.194612869551747 0.0693496949505071 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.167314560939172 0.112510526545702 0.0787500609169601 0.0316271239558896 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.11576296684176 1.83155537769389 16.9296590348426 4.46157970651276 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.762053674037769 0.559102240293825 1.91876805817846 0.567923770297644 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.420075635862937 0.292345070810013 0.542469807658923 0.185030351372588 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.273977689623933 0.187523408478562 0.218539259811651 0.0854706800209579 NURBSSource NURBSSource 27 270 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0482871010080664 0.020121926601253 0.00708862064399775 0.00112504605912395 NURBSSource NURBSSource 27 270 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0147168907505301 0.00629637389848982 0.00068235742136831 0.000124243520940871 NURBSSource NURBSSource 27 270 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0141311208937842 0.00380026581847086 0.000668659000715539 6.68351145923814E-05 NURBSSource NURBSSource 27 270 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0210973209469393 0.00485890966700071 0.0019088479778631 0.000137246083262576 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0613692110086584 0.0409133446326676 0.0115635590595137 0.00431420807220415 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0202584097656537 0.013660018370671 0.00123396301266673 0.000521115522133298 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0161887704708878 0.0077924142478439 0.000814988874022521 0.000197567550007574 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.022106272001032 0.00686229802196052 0.00197756732754678 0.000199437648006857 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0915732317219967 0.0734805643043839 0.0251963256570428 0.0136131439392745 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311458316626314 0.0249620798261156 0.00281778272159028 0.00166956587968485 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.021029885048628 0.0138191672793644 0.00125054247653768 0.000555622595721429 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0245150496990043 0.0103150474969134 0.00217371663889104 0.000364007732933295 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.164006122191297 0.14255519885211 0.0796120702985527 0.0493602697918436 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0565325509482693 0.0486099921472752 0.00902807999189198 0.00612921826598236 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0334365251216872 0.0265938292116714 0.00297369425282366 0.00192470793386279 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0309247416703893 0.018063866513681 0.0029057832052864 0.000967826028308397 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.468571775752588 0.425415715934657 0.687781956524512 0.382703975450675 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.163429159776546 0.144574749675922 0.075577607194303 0.0508779432637354 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0899699254840725 0.0787669959085446 0.021620868127484 0.0157752546603765 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.06353208143243 0.0514034987128347 0.0104828407271256 0.00697998250213152 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.776220312768552 0.716599849589326 2.00030667028832 0.965972148249372 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.269969842373452 0.240914331428042 0.211492123491267 0.134277401619258 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.147994276393319 0.131045147294823 0.0595984559369211 0.0422076021778545 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0996942896631005 0.0852215809826388 0.025813641019264 0.0185052981685431 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.136651188822277 0.11856216143656 0.0552235807851573 0.0346096439999711 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0468350440662092 0.0403887629721429 0.00624612917117179 0.00427223114103426 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0288262643443833 0.0221815110250729 0.00223606529707915 0.00136135676893426 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0285824265741062 0.0153986299553382 0.00258765237284117 0.000725224661875129 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.259996348183988 0.234140903439307 0.202142159802507 0.12728654156111 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0899099031766603 0.0799063512778201 0.0227292883882881 0.0161773252765833 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0512255625661217 0.0437075157278082 0.00693109532776035 0.00503234866914852 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0407655202974318 0.0288501250772663 0.00448249852736788 0.00232056241501489 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.510614042532507 0.468061407284039 0.823422347742263 0.456106307156488 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.177345667495368 0.15923507688428 0.0896419987447291 0.061282772852836 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0985955619950733 0.0869639572032422 0.0259994286470435 0.0191296448971505 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0685802360521627 0.056624993942446 0.0120053549248183 0.00842722447364268 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.52760834421074 1.46795786724387 8.45962073680657 3.3460961975045 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.520833328602745 0.476827409282871 0.84147921687263 0.472513899782349 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.287885636371752 0.258761383820657 0.233801417179053 0.153621767915085 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.18798784818624 0.168081569267354 0.0927159508750242 0.0682899983608924 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.56036049766551 2.55391910289345 25.144501844356 8.68586641022149 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.850358780208214 0.807784069278088 2.39329332143037 1.19549557348818 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.467891986753039 0.430547375902418 0.643969210148875 0.394260662171712 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.304791726062042 0.278526897135861 0.248850882028782 0.178824076168516 NURBSSource NURBSSource 27 271 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.021530572827167 0.0286851646121004 0.00139829984981206 0.00188618585185234 NURBSSource NURBSSource 27 271 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.00599532939282001 0.00969649854004709 9.79905649393903E-05 0.00019084355673665 NURBSSource NURBSSource 27 271 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.00725420127827439 0.010089627733709 0.000123466191474738 0.000327035629667676 NURBSSource NURBSSource 27 271 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0131280884552247 0.014319234922724 0.000427738139317658 0.000855441941832031 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0399100816750778 0.0434901761127649 0.00462181643599527 0.00455177829090571 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0128455396091202 0.0147307232549075 0.000438623237790229 0.000474967181011767 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00981800791994932 0.0122867183184027 0.000215128832744447 0.000422105596111747 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0138295785074329 0.0154966353331889 0.000463736332863769 0.000938998038590183 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0699378793873608 0.0703598130603923 0.0141554463992774 0.0124226542076168 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0232160008005466 0.023822003324221 0.00145406062713723 0.00135437117498432 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0146820242062619 0.0165833464754225 0.000494988247453179 0.00070746225892442 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0157931645425256 0.0177678417733956 0.000578394027008506 0.00112463913462088 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.134260362660528 0.130843805469453 0.0531134549934498 0.0432006736211495 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0450072655267261 0.0443239129985839 0.00555261838170203 0.00496083020095129 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.025993274568167 0.0270978248910137 0.00165410800373087 0.00188545714535552 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.021617778533539 0.0237559221071372 0.00105280128726941 0.00180217384312974 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.394265204420924 0.382795245813179 0.511159552237944 0.337822307735974 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.133618232324612 0.129534569236568 0.0509678234279842 0.0427782959804661 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0740784271886701 0.0743376080520019 0.0145882036373284 0.0148454795889709 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0511907459941579 0.0538192468396563 0.00641429952525546 0.00873271174470065 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.650732500542992 0.637719402809116 1.53364624840491 0.855823653057115 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.221769191979436 0.214605775853719 0.146027338060416 0.114098233829814 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.122620221528539 0.122329961083745 0.0412632244671777 0.0402125950431851 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0826191728171237 0.0861743206105078 0.0175315743724269 0.022325825763905 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.109897050708316 0.109914737522546 0.0356083559480192 0.0305859937824826 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0375782206236872 0.0371284552210777 0.00384914851577525 0.00346255050112952 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0218841555215955 0.0234303500693147 0.00116064609648059 0.00140256475970684 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0193695242753667 0.0211917010410807 0.000847568354381986 0.00137268601612631 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.216122053526866 0.213505191425264 0.143877181990154 0.112545899006381 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0742295468687525 0.0722024854820357 0.0153109451946651 0.0134578549299601 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0413435293884115 0.0423691603130889 0.00440931194193436 0.00472133965689455 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0306243414342625 0.0323699843771364 0.00217880827380959 0.00295156665084364 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.427357045326476 0.422275389661235 0.615074916309544 0.4090150956042 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.147820869754078 0.143062803318269 0.0629541484386498 0.0522876099633114 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0812421101198328 0.0819914744896792 0.0178500668627245 0.0180384905640474 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0558457204511523 0.0578996491434627 0.00777103878689513 0.00938701547642917 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.28404382962022 1.2911829920467 6.81097303152245 2.99390091758639 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.434274702208484 0.423138025289978 0.624050119608808 0.405097338143949 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.239928056375654 0.239795013464069 0.170662985860712 0.147885209371374 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.16154345202751 0.164089406076595 0.0726185424590379 0.0743072257621951 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.21403343826101 2.23882439546119 21.3142399276567 7.54239302103535 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.709135670161399 0.70348667260549 1.86072844758423 0.973373911257216 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.394177189673815 0.394222223093487 0.503699618285633 0.370421810936713 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.265753291284512 0.267550023894138 0.213233603542314 0.190537945561735 NURBSSource NURBSSource 27 272 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0166807525118338 0.0386439811281742 0.000761063585170511 0.00287825507978614 NURBSSource NURBSSource 27 272 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.00698965392472114 0.0292904553034251 0.000144494286505907 0.00420800535860759 NURBSSource NURBSSource 27 272 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0105736774800987 0.0490019648904342 0.000502497475454944 0.0176452668893164 NURBSSource NURBSSource 27 272 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0167254624203347 0.075463852910501 0.00134204241009506 0.0444141475061632 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0276407757577858 0.0526250137628621 0.00211479401448603 0.00595305086673917 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0104372551996447 0.0323755336175786 0.000290561099938748 0.00469971255508008 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0119775086626687 0.0503433807646515 0.000558643792667131 0.0179170405397146 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0173730980497272 0.0762318494188881 0.00136994533521328 0.0446045460059614 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0471301046515288 0.0809352149319696 0.00621467234957988 0.01529569164535 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0166655794843168 0.0398158770654987 0.000733254775589809 0.00609336271193506 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0145254195775254 0.0535384699819199 0.000705867689878734 0.0186415589362426 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0186110401322382 0.0780085126874052 0.00144237146813618 0.0451223446029652 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0897506374731666 0.147225061185878 0.0230617899229802 0.0527311400196414 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0307699741257785 0.0591593183488218 0.0025502574007185 0.0112271641034056 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0207396435936747 0.0619821549095992 0.00125695296574134 0.0209745616776658 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0217498618057298 0.0827125650713492 0.00169642798148088 0.0467239759870924 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.267306591742401 0.424891406598171 0.222548512916959 0.427788950523122 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0898680781788958 0.149362997174695 0.0229581221339646 0.0614706454874755 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0506197459703404 0.104387353125508 0.00714074536195216 0.0401182983605459 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0379743634767428 0.106561073186628 0.00417846073058172 0.0583416988409849 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.451884334647758 0.697450248082983 0.680422108595047 1.08784560744814 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.14950645275778 0.243096005083531 0.0660106525151382 0.156753660006822 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0823487976918339 0.1520351654204 0.0192732546840652 0.0745412270412252 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0568195689779591 0.134385300944873 0.0091751812273588 0.0779179482543075 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0744580382341707 0.1229045463979 0.0156688329575234 0.0364352190589677 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0258139497776214 0.0520825057654318 0.00177200928043523 0.00902673332809349 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0184016831031715 0.0587144543902192 0.00102207654590579 0.0200360125267809 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0206183820007393 0.0809674700344075 0.00159818288071623 0.0463061133118686 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.14614032442523 0.235866524823939 0.0627088916411894 0.135266107998382 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0500086646504254 0.08729078835434 0.00683776431658456 0.022165884514877 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0298568497229372 0.0743512334434616 0.00249388405183989 0.0254119120089304 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0265663944290457 0.089912936830357 0.00224657599996199 0.0500308523222932 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.293207574192486 0.463906075556915 0.269607091305179 0.505357173728771 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0992855377846922 0.163076871033252 0.0280465245126368 0.0719525299166036 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0551704585434622 0.110162492764593 0.00847869338821583 0.043695615170937 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0406336855828574 0.110651060543193 0.00474155926579663 0.0613896369961292 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.956062572390559 1.30313184992381 3.35782806122079 3.30706815320422 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.299352497156262 0.467257061750398 0.283169349275335 0.541943023017209 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.160219226876072 0.27008846951748 0.0763950367310822 0.214288697422126 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.105447427778058 0.210073078496802 0.0322736945371209 0.159142383784827 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.75239748806456 2.05043741812769 11.8614999749722 7.09520396071829 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.50909082690073 0.746690930716597 0.878254768258766 1.30100414401957 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.264957191394006 0.428564702846567 0.218961434287818 0.520362969752601 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.172665167699797 0.317342222044472 0.0895752563677858 0.339823653290195 NURBSSource NURBSSource 27 273 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0158981621305614 0.0125849653391226 0.000781275840429033 0.000410993678448249 NURBSSource NURBSSource 27 273 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00562708138682405 0.00401959174582545 0.000113182807944234 4.52834067834745E-05 NURBSSource NURBSSource 27 273 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.00380742349027973 0.00339458303584656 8.25485442695956E-05 4.91409012682979E-05 NURBSSource NURBSSource 27 273 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.00560268765809036 0.00516188935656342 0.000265077786472364 0.000158091241106942 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0313487725964836 0.0219896981033351 0.00286266969603454 0.00115749074771252 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.011190421634189 0.00730771775638242 0.000371663523931974 0.000139646845559023 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00683154376949152 0.00502885434414183 0.000156171286864 8.17029058904611E-05 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00695887226968247 0.00593083972307228 0.000291680759499828 0.000178855351587516 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.056421108941391 0.037509482884965 0.0090159096497674 0.00337140754911458 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0197137713885788 0.0126878992676 0.00109986605221523 0.000417754199614911 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0113902371431668 0.00775289780216382 0.000364608429922074 0.000170565556115316 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00955570249351972 0.00733969394234278 0.000377305088815972 0.000225986900253776 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.108734531675351 0.0716437772185257 0.0335316938270437 0.012023768749702 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0378717261131311 0.0243218976415912 0.00396513850941983 0.00151610780757307 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0210522600547119 0.0138849728738101 0.00118235822412331 0.000514911787777154 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0154582429767068 0.0107716002323422 0.000715526308813637 0.000391301396295353 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.30591511696182 0.222944291115987 0.293815850143775 0.0980756687082625 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.111016440619751 0.072492882212963 0.0345561205700914 0.0126632718946504 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0607898193857932 0.0398790373106145 0.00993189630206569 0.00404728815796794 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0405416877548753 0.0268538719008846 0.00431991407130369 0.00199357941869754 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.488256493678871 0.394158570368258 0.826296204670038 0.265890510131222 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.181417120984309 0.122353476535736 0.095698866116942 0.0337197094119334 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.10032398811184 0.0662919883630856 0.0275594835322769 0.0108010097186429 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0660411596381356 0.0437159765575194 0.0115693265699004 0.00504319947641285 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0895093753011309 0.059197049472709 0.0225975173287513 0.00831265505050001 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311758268436549 0.0200220492385304 0.00269688211008939 0.00102683063832178 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0174395904059711 0.011415342973411 0.000816781658090394 0.000351852638947589 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.01328842580014 0.00937915494004533 0.000587511135220819 0.000309663725328551 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.173645121707898 0.117455138270983 0.0878290901701295 0.0307319158009961 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0612569218480756 0.0394106110045756 0.0103310788304884 0.00389215288122338 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0335721998524989 0.0217352757754329 0.00299143579410748 0.00123094438115551 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0234092255884236 0.0155909559612045 0.00151377270724843 0.000718996072508677 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.331144570414634 0.24480541925675 0.349693686244876 0.115877052953877 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.12075104337234 0.0789560992713821 0.040961581559681 0.0148070492575177 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0661813049946146 0.0428626704950462 0.0117710900137342 0.00463964564605168 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0442621750779893 0.0290853239629299 0.00519986120885641 0.00228923521908757 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.942721728757324 0.852030727957641 3.43531154056405 1.03145980373447 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.337630891198148 0.250217372515121 0.365882141314786 0.119405503713016 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.191176092753702 0.129752859169738 0.105385008059948 0.0377257063003811 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.12718908150312 0.085066971818846 0.0441551539933943 0.0177431674619378 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.58614843014331 1.51403393216073 10.154170111066 2.86858182106301 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.537136442504379 0.445171902616749 1.02543938356567 0.320064530398405 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.302970467473234 0.222646034286099 0.286176430618213 0.0982049123905351 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.203754713367127 0.14272347057887 0.118683585066536 0.046021384596582 NURBSSource NURBSSource 27 274 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0203389796796335 0.0180844479654173 0.00128627693188959 0.00115428616114378 NURBSSource NURBSSource 27 274 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.00573552343614391 0.00663295332280594 0.000121208582222576 0.000131898062878188 NURBSSource NURBSSource 27 274 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.00424217862155471 0.00633190696862606 9.90195751464564E-05 0.000336078872401038 NURBSSource NURBSSource 27 274 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.00657347708894983 0.0101487171702599 0.000313630718579654 0.00125115141997711 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0365976674565007 0.0285591011604796 0.00382366089386962 0.00219730540248823 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0120405341806304 0.00994986453162512 0.000431689601308124 0.00025093320875021 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00733693851923581 0.00808502033550304 0.000185992859289144 0.000390439260653865 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00801242344736698 0.0110060831940952 0.000354587126112603 0.00130308702369214 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0628849465442119 0.0453208666288505 0.011164596193892 0.00512952036702891 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0214421984580965 0.015715738159724 0.00130133224509458 0.000605154300201713 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0121495246194742 0.0109140686132932 0.000429019000045358 0.000516465833561297 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0106547055297654 0.0125959001628935 0.000464713543397713 0.00139376302686347 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.119073918550933 0.0832960988639948 0.0404361017310397 0.0165164719688165 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0412935415320548 0.0287089333605954 0.00471738401303978 0.00202583824811002 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0225083418562377 0.0174663178353014 0.00137922356477245 0.000979494328474776 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0167432448971908 0.0163617670113779 0.000877612062020996 0.00167189669027105 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.333394626527139 0.255977753337759 0.350800119924 0.133345252269551 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.121109238885983 0.0839029889399484 0.0411918919207666 0.0167750885403917 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0653787880220427 0.0462428809274117 0.0115546570142133 0.00560201025976352 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0436315229950573 0.0340698703169727 0.00518312431233365 0.00404870216577021 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.536057826799365 0.446963602712023 0.989420962480781 0.361900017743067 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.197871718753485 0.141453309127051 0.113792287101054 0.0451600103265862 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.108053018390407 0.0759712640889546 0.0320813700371541 0.0144807321163002 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0712877176227677 0.0530888639456117 0.0138344540485323 0.00842809044747555 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0988946085682296 0.0684508473952378 0.0276982090681016 0.0113394742869402 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0336970584059365 0.0235791723105746 0.00316460992140923 0.00136054107987392 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0188057773468428 0.0148500891546725 0.000994142871871517 0.000729229507750053 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0146815160631558 0.014781958692796 0.000752771907463037 0.00144695588951217 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.190310171973489 0.133762322676507 0.106094637508663 0.0405080943774649 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0663139963188184 0.0453714041687083 0.0121731080797532 0.00503446790050836 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0362669432812824 0.0261213333761352 0.0035837836591869 0.00186167482157518 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.025502371490945 0.0214265054226048 0.00190929004539494 0.00197861365755559 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.362140465431278 0.278574962530321 0.418917880757775 0.155424450716096 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.130858179260412 0.0903198311951213 0.0483015184371641 0.0193146079988505 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0714510599116204 0.0498302717007646 0.0139421237516824 0.00630956881473466 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0481152802182145 0.0361467924288714 0.0064235392465993 0.00404193603008711 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.03186751250015 0.940029968590366 4.06602788853934 1.35439496125159 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.367356522435129 0.286459566976227 0.430190333539377 0.16360616249442 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.205931319156183 0.149472506646145 0.123084502965319 0.0514415997160889 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.137905773304325 0.0995209763563727 0.0534936111037791 0.0252740247936284 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.72999550005109 1.64270669275768 11.9664793105117 3.64279052717615 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.587887609243204 0.500983951852479 1.20762518429954 0.43901713917225 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.327671276540783 0.257075478988508 0.334309094629796 0.139207459399968 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.221076069766675 0.166540212930509 0.142926935356828 0.0669696943453214 NURBSSource NURBSSource 27 275 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0275203301500027 0.00952584938562152 0.00272816289948809 0.000271888951326686 NURBSSource NURBSSource 27 275 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.00928271284344176 0.00363682410705638 0.000230822707558634 3.97343313998205E-05 NURBSSource NURBSSource 27 275 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00579246916634661 0.00253532964039409 6.86615530166992E-05 2.93252628044988E-05 NURBSSource NURBSSource 27 275 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.00885457108116624 0.00357676721610898 0.000139133356569487 9.7242375414071E-05 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0418729520291196 0.0211048396310265 0.00581533194754638 0.00115951270530124 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0149923814459429 0.00749883380314077 0.000599595555861944 0.000151770061863707 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00844211105901664 0.00454934891719693 0.000155115831234377 6.51157912126886E-05 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00978878149273239 0.00462387852030306 0.000174134062726861 0.000116400053150459 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0692275110188155 0.0380468388176323 0.0147665251043776 0.00371046030931986 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0251776432240419 0.0134291895757246 0.00169955864683053 0.000480894756264189 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0135466058205119 0.00768435905959978 0.000427171214844016 0.000166628998152829 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0120862088345049 0.00642998028577517 0.000280500112958597 0.00016610217609427 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.1298036580962 0.0740252037339785 0.049631224163487 0.013600204843475 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.047636054326881 0.0259877330827574 0.00611874440627124 0.00177754820604216 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0250665531809565 0.0144027214019219 0.00155528207479985 0.000563142576700372 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0185410016321954 0.0104993403536679 0.000729316816342228 0.00034798559666202 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.369008534238562 0.229290385418058 0.410158987524532 0.113080590450311 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.139191851046737 0.0776743269025426 0.0533754210316872 0.0150422219811869 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0731697874353211 0.0421708171125855 0.0140163010154175 0.00464647793667295 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0490629030428097 0.0281848329015557 0.00587519757559457 0.00215879492942776 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.586148089287067 0.404664973805681 1.11096355107422 0.30833301301121 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.228400856878499 0.131020563450476 0.147250706103054 0.0406203397251473 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.121227231862482 0.0702003941767147 0.0392419993582643 0.0124835932100444 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0805486805188314 0.0463997209775044 0.0164409780227689 0.00564322844185906 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.107321933594547 0.0607911966822368 0.034473504528425 0.00928046545827145 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0391469387928093 0.0216615174834356 0.00411826643788837 0.00124603832824931 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0210489074773983 0.0121107607857949 0.00106738453212738 0.000399831316848192 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.016264591641062 0.00893416902224528 0.00053070700563806 0.000266097366603356 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.207452827992586 0.121747812140682 0.126955433622384 0.035087563169775 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0763821317595589 0.0428270986307205 0.0158359206619734 0.00476604523312062 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0407690377778367 0.0236416845641295 0.00419239640491828 0.00149319247520704 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0283825765754868 0.0160546194166774 0.00181102662126728 0.000746809936470478 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.398945761541372 0.252641235113165 0.48817942588664 0.134148028166915 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.15087533022256 0.085910708442794 0.0629795021988421 0.0183208718251253 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0807065978332122 0.0470349763889909 0.0169348929302432 0.00575361191870463 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0543505273749867 0.031068650732686 0.00717103163651118 0.00262351862982872 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.08865536960805 0.895291576934218 4.39843279750275 1.23112475720864 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.426293682096466 0.272763695990317 0.548456357722669 0.155276108883168 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.236355885604765 0.142369146345529 0.152968807997435 0.0477297147922659 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.158355234135691 0.0926865269900061 0.0648347422910082 0.0215117096879076 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.80024567823907 1.63898210952151 12.9178459801322 3.53569150941302 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.665396281310293 0.487329347959957 1.46579226489856 0.42573122727287 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.37818385448488 0.242912063324581 0.411255991674659 0.125898992301368 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.255529987731248 0.155666518739806 0.17364180921361 0.0567972072161825 NURBSSource NURBSSource 27 276 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0401311651010306 0.0233276131115139 0.00590296237348456 0.00133758071397964 NURBSSource NURBSSource 27 276 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0124847923605833 0.00800529668174792 0.000487576305628896 0.000144047445245071 NURBSSource NURBSSource 27 276 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00620048308265413 0.00404312810014984 8.92384203665272E-05 5.31415238730177E-05 NURBSSource NURBSSource 27 276 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0066318016207717 0.00500436195980377 6.57945140961948E-05 0.000155544709136516 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0567288478426283 0.0420381440824275 0.0107105263200954 0.0043268425519371 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0185315530811886 0.014046170839043 0.0010088788036359 0.000480798097990789 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0096768558196973 0.00768832609055658 0.000225043828387229 0.000160598360435022 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00819766222085541 0.00708812318613314 0.000112471445983452 0.000221783527967929 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.088240349874825 0.0733476367516283 0.0242683415093736 0.0132088526051327 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0299493944518304 0.0245492463117395 0.00252805012345046 0.00150452309760967 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0161209008506329 0.0134212595943304 0.000643261348523991 0.000474383950528285 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0117601678052837 0.0104862904068231 0.000265997669661604 0.0003811075059547 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.160842353520224 0.140531374017255 0.0773730817259937 0.0476489278230029 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0557388429428374 0.0472388950873499 0.00853436839729631 0.00559949226388995 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.03036392599055 0.0256942672001976 0.00234707240825659 0.00172361095562234 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0205417868783742 0.0181492461835796 0.000930662951835498 0.000972834801437781 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.462318978111438 0.414933910174359 0.665354845487551 0.371866233015153 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.162888886819561 0.139900386742885 0.0734352850435144 0.0474756859787618 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0891639574208696 0.0758975697166362 0.0209923270610434 0.0147577918789053 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0586023423213887 0.0507549202445274 0.0085629297799367 0.00695277471452598 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.760370954350354 0.696482594025378 1.9261844920289 0.936106298429719 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.269531736098753 0.232769641517617 0.206689801706834 0.126002008285327 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.14789707634174 0.126190544413225 0.0589955522412878 0.0399224302124177 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0970623037438579 0.0837547021382343 0.0242569724121271 0.0185372023343346 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.134375558881333 0.117253309848158 0.0545275775544436 0.0334895599763861 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.046854795712022 0.0395094220877849 0.00604551400747704 0.00392047001317569 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0252060043725778 0.0214739169512979 0.00160513546751353 0.00118649803605297 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0173710147563518 0.0154184347292789 0.000639113071242563 0.000705394287113385 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.257970072556374 0.230327933491599 0.199651722096524 0.12398399950532 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0909511868822998 0.0778959863161574 0.0225885204105932 0.0151127308972725 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.049264200524773 0.04223507880999 0.00626848273809038 0.00456191983586465 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.032672072111839 0.0287890116863551 0.00250412809023823 0.0022692901615056 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.505041404479214 0.459392905471989 0.805059535896076 0.448414783779472 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.179888336137031 0.155128164258834 0.0898950412917537 0.0580913371878502 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0978102170779499 0.083988168172662 0.0252716154004597 0.0177684817691722 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0641701370232163 0.0562899665667926 0.0102627174682496 0.0083841379884813 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.49926693708989 1.43815147117486 8.32386993056107 3.28987725729747 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.525620391019186 0.465474145167945 0.848696286906455 0.452667230826638 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.28880315610668 0.249964208151643 0.234752257542793 0.146429161967453 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.189394016609625 0.165704532191406 0.0956978499354569 0.0688898490899858 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.54940015415887 2.50394828482739 25.3271472022521 8.52135422712101 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.856157166094654 0.782858712948501 2.45690203881614 1.12400205679777 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.468860145912268 0.412350696761368 0.658357629322335 0.367351889324958 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.309105215656753 0.271098178923271 0.266414031637714 0.175021095177203 NURBSSource NURBSSource 27 277 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0148843222327999 0.0280274893914071 0.000191256082506059 0.000761974075252545 NURBSSource NURBSSource 27 277 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00566153451188235 0.0105962939793305 6.28512187566551E-05 0.000295030717385237 NURBSSource NURBSSource 27 277 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.00375668045096767 0.0153130141090886 3.72357422666148E-05 0.00131389091765885 NURBSSource NURBSSource 27 277 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.00459215511852226 0.0243152643631309 8.5388008890591E-05 0.00379148599264016 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0223060294760672 0.0489105475467947 0.000696347193543191 0.0040254806401153 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00831296811832771 0.0176972684432157 0.000140343322806312 0.000773417922823206 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00507879539181005 0.0184677993603989 6.26369728735438E-05 0.0015569312296741 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0052712052410633 0.0258634313858391 9.96039597818245E-05 0.00396994082962394 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0360863434900654 0.0842927016631877 0.0024646145611168 0.0147623958649624 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0131340058876377 0.0297973166057706 0.00038403120794057 0.00220981555650278 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00746798370299875 0.0240209669928726 0.000136587636467039 0.00213889087554196 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00653699894576064 0.0288048211799784 0.000136617047647598 0.00434989716051182 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0675955601513971 0.160605615472423 0.0105888215080931 0.0593947550088927 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0241685273572461 0.0562142625023272 0.0014152910247739 0.0079861034947811 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0132070439763696 0.0367172599429817 0.000439110856329954 0.00417082508667102 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00982057918725024 0.0360306249107025 0.000277063101494814 0.00554755808418787 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.209978557790625 0.456744436385507 0.132822685597736 0.480009994744506 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0706733127432995 0.164712108573263 0.013362902908616 0.0688338234275145 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.037938303315581 0.0933608484499885 0.00380595511348481 0.0239584918556634 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0252831202908271 0.0705693771319763 0.00174589576267088 0.0157728898399401 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.383295853514733 0.718695686129614 0.51011679115405 1.11199184335906 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.118586693065044 0.271210997212041 0.0397828039182866 0.184220180854128 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0631015520501657 0.151922167898351 0.0108460415456958 0.0620859209912308 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0414737283907937 0.108234413552804 0.00473520989223594 0.0347870978878744 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0560319592375815 0.131779035611395 0.00696673620072713 0.0394003146337646 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.020078115918703 0.0464166551273914 0.000959421612960161 0.00541368771961106 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0111973358020998 0.0319836235880422 0.000316680205152027 0.00327860076617889 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0085984011145842 0.0332247262075762 0.000218859151410002 0.0049579416022118 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.110374379998195 0.256606942392355 0.0317004518070861 0.155961531966033 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0388210708010428 0.0906032501668695 0.00384122344032837 0.0208183105323881 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0212862954795793 0.0542209533252713 0.00117882884935114 0.00840726830455738 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0146135703198982 0.046228990154302 0.000597204372419699 0.00766055244999531 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.232613506223975 0.490940355243898 0.167483121135026 0.552331989115234 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.077233051052787 0.179216120361078 0.0161676201270839 0.0811721212141495 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0420162225282079 0.101601485745856 0.00474047546757972 0.0281032803001604 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0276824863590909 0.075342300419886 0.00211961722605849 0.0173833491943566 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.893995855065183 1.27801431958115 3.14817622498781 3.08808278321264 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.247067323529392 0.50255633651011 0.197040904019072 0.595672161000573 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.126811341487024 0.289933553707435 0.047192691311157 0.219393107684313 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0818162302397232 0.200125612209571 0.0193751213337819 0.112671553243785 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.70563753972423 2.02200832054908 11.8804361165696 6.71736596257927 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.46014016588374 0.765844876411739 0.765804468372453 1.27460656289819 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.219357629062549 0.456013150716235 0.153703510354385 0.523959384696933 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.138114877992202 0.318930523752946 0.0584362035423571 0.282476276530664 NURBSSource NURBSSource 27 278 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.00683939259799942 0.0241583036700096 0.000180691729805636 0.000839907331919542 NURBSSource NURBSSource 27 278 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.002533505634331 0.0137892190155962 2.78948769010057E-05 0.000908549553410353 NURBSSource NURBSSource 27 278 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.00280962429957504 0.0270334295630877 4.52207657459679E-05 0.00496179612641433 NURBSSource NURBSSource 27 278 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.00415780710828966 0.0447698811071828 0.00011333127768792 0.0138411663644267 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0184589095705105 0.0503722215589178 0.000994505454576232 0.00539177592963399 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00639731292210797 0.0214332784110975 0.000126329539389394 0.001622155838407 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00445748976655949 0.0299533075932408 7.87698173375778E-05 0.00534703694205589 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00490101640489024 0.0458939861161593 0.000131824398974079 0.0140703113121784 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.034273078980603 0.0917938260052002 0.00336686708870406 0.0198929504580441 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.01178116237594 0.0340425389994388 0.000404115365023393 0.003538022464003 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00707771166897734 0.0350097093549275 0.000166775023781775 0.00619149157415341 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00631485874611061 0.0482683302437982 0.00017639182236272 0.0145954993313895 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0674105803084882 0.178337624785981 0.0131775090577143 0.0787161774477324 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0230257020729674 0.0619739497391338 0.00150328729525064 0.0108244470632226 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0129281554247416 0.0474147685799597 0.000503615148921472 0.00900887913863872 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00974180417483653 0.0545254495260213 0.000336348920679352 0.0162428113884511 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.212124662990451 0.514761641092136 0.147273543745743 0.644891474986776 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0688633591522917 0.17905929346996 0.0135928630496506 0.0853685637937124 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0375353490743412 0.106113040673008 0.0040383731833234 0.034601342103868 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0253317446127697 0.0877770254663313 0.00192245838386059 0.0297360873758606 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.382775198313007 0.818675093702151 0.534656414618259 1.5416631774865 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.115718197687142 0.295213191733152 0.0396606903234994 0.227740035659591 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0623479469630536 0.168417195211837 0.0111792235692704 0.0825511708755477 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0414902600369964 0.126216251802565 0.00503025059435171 0.0540799062726901 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0561899947807744 0.147576855898506 0.00915427381254208 0.0536153921036783 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192126360629642 0.0521789179809828 0.00105846302638632 0.00781764006426612 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0108230366384737 0.0427994669607872 0.000357611908447554 0.00779352480130746 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00838259308142745 0.0523374717885224 0.000258374103239342 0.0154218206141303 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.113109961833235 0.289849462598268 0.0386361293712119 0.209848409407675 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0380874302974443 0.100128571410614 0.00412934934553837 0.0274254276149122 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0208082447287478 0.0655764125102088 0.0012593569585862 0.0147036284848453 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0144605391908538 0.0647163913538125 0.000660975837751841 0.0191718472870341 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.236955542615212 0.561984054753018 0.18729049217874 0.766844600759889 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0762827371764654 0.197149673524203 0.0168872483617247 0.103421305449082 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0411641546591746 0.115727398368504 0.00487147143986709 0.0402558083412151 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0274589406313765 0.0942986395286118 0.00224579130463511 0.0323040751419507 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.908992640030304 1.47345799919242 3.38568207600855 4.4129579140766 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.241160202906336 0.561331770338117 0.190134759029087 0.793640926120576 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.124132051403114 0.322389299396683 0.0462508679949256 0.289692651985327 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0809471354910955 0.228240498992625 0.0194730371988301 0.158133611907554 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.76359960036003 2.29334847095017 13.1072533009746 9.19900188435561 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.455750227096674 0.860389230090322 0.741945746558573 1.74916659895814 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.218998856493058 0.508995098935934 0.153464043423668 0.706126173669275 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.139041023417964 0.360850565797351 0.0601724650932442 0.391876606297095 NURBSSource NURBSSource 27 279 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0195189401389794 0.0452729099581879 0.000586054748317638 0.00372813908627983 NURBSSource NURBSSource 27 279 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00571275760027744 0.0135321838156863 0.000101719759361377 0.000333470821581503 NURBSSource NURBSSource 27 279 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00381368392373203 0.0073742552070249 3.89895732610279E-05 0.000120487875354615 NURBSSource NURBSSource 27 279 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.00316316318942205 0.00745374116118129 3.34152919990837E-05 0.000254396285496134 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0397264701299915 0.0552212000021796 0.00335487725390406 0.00590690762123904 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0132332600715888 0.0176709217034508 0.000476914158184281 0.000597193818399258 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00748199101361357 0.00966507557601156 0.000145148077364931 0.000201405559297732 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00556089617608262 0.00867390725393927 7.55015049653896E-05 0.00029701836371942 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0715418211034026 0.0772578590730284 0.0124646211226231 0.0123773374549854 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0241651466083528 0.0258553923179151 0.00157464673890663 0.00140071345519047 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0133018461656232 0.0141245242146366 0.000461749105172534 0.000442300543552922 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00918342596517085 0.011242947900359 0.000200781978329579 0.00041511401290912 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.13851757435396 0.133282171207792 0.051884012352285 0.0376226941089395 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0470393260744722 0.045611810146019 0.00600000484917385 0.00468384113350556 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0256563899511216 0.0247670841360822 0.00173856604870659 0.00142651449083014 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0169904113241672 0.0177170436967535 0.000711942307607861 0.00087141905850617 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.410841566211822 0.38770839253393 0.52759240915868 0.288347663559558 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.139649024918258 0.130595416891443 0.0556660949454129 0.0382980097303189 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0759439266291561 0.0704477643178732 0.0158042496324368 0.0118042162845172 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0492670150542216 0.0467635274100648 0.00636372351523005 0.00555697684028618 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.683829524068571 0.657010739324457 1.56148806694551 0.757251556282554 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.232556345955384 0.21732426134592 0.161114496233818 0.101249993034312 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.126240598317928 0.116685000101487 0.0450767372549403 0.0316586614402691 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.081588717400827 0.0766657985938513 0.0180036201534098 0.0146048366365766 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.113928057219576 0.111049823971917 0.034058404938218 0.0262232879839849 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0385578907263541 0.0377192748976566 0.00402797851144011 0.00316107374106941 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0209700025352483 0.0208602309254782 0.00115855662534753 0.000998735218035737 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0139513004826484 0.0153389349037956 0.000477038760088281 0.000691636904205827 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.224665098085059 0.209267659809903 0.145377490416526 0.0909181418123252 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0761981828899736 0.0713181892686145 0.0160234284114988 0.0116743174107231 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0413551073774916 0.0393074949318227 0.00458195731181966 0.00367110987968351 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0270316039570302 0.0269184313761001 0.00186629102225988 0.00192564987487066 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.447224474965097 0.419778163751455 0.629396737077338 0.336531126354138 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.151697420725367 0.140516708325776 0.0661970096100725 0.0442489314168376 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0822256775880124 0.0770617320986554 0.0186542268430504 0.0141006851006888 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0535248435211909 0.051196754900734 0.00758875451386029 0.0066874619905042 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.34606616478587 1.30883223522256 6.55481310664205 2.58026062229506 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.454584460478551 0.426225166518888 0.659828818877464 0.354276383459104 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.245218275312222 0.229474059531015 0.180198068771497 0.115575494979532 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.158964666135399 0.149720463934657 0.0720327566631651 0.0537577900622308 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.29135430749193 2.2325559225737 19.8292831145035 6.55408030042429 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.760008605204539 0.717058386232064 1.94906264936407 0.903880223718635 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.406752964052907 0.382021234854776 0.521418159288155 0.299867236543003 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.262156213527593 0.247862235922161 0.205446923700761 0.140715730127539 NURBSSource NURBSSource 28 280 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0447688262910213 0.0229934906996718 0.0072189247613694 0.00160680919814582 NURBSSource NURBSSource 28 280 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0162011157605664 0.0078367087514208 0.000859789710137413 0.000198045638904322 NURBSSource NURBSSource 28 280 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0154221248268274 0.0051692440980102 0.000826023959428992 0.00010617246928808 NURBSSource NURBSSource 28 280 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0223889291593988 0.00583373189433513 0.00209627972093012 0.000179484471665949 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0599086238092444 0.0423219754021464 0.0120866787196897 0.00483215330101842 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0213569610696266 0.0145403984747002 0.0014094742445229 0.000598924891647122 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0176196751354288 0.00850326223614925 0.000993089580269581 0.000236047855132717 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0235026879665811 0.0075814472541288 0.00219402402357764 0.000247065018872879 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0909834512749201 0.0737153818361466 0.0263201045011464 0.0140414613122632 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0319195708251624 0.0254391764713925 0.00299872933199627 0.00175062985379362 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0223737328634804 0.0142003295042198 0.0014521675324575 0.000594822822886571 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0259382352703249 0.010889804953862 0.00242577281009409 0.000424344500392675 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.16370150866211 0.141296169856394 0.0823169165287653 0.0491612251294298 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0569949858905933 0.0487588369103065 0.00922816137933963 0.00622385865180079 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0346297218672864 0.0267410260345759 0.00323686504142613 0.00197276820661115 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0324454713936686 0.0186068118312325 0.00323397635901325 0.00107172488052695 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.468835806261341 0.420261117512947 0.701921618721207 0.376182234458328 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.163612519615421 0.144071926276944 0.0759811564133023 0.0509101670462295 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0911915217570131 0.0785556918286685 0.0223295412274756 0.0158900076519235 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0657986935204936 0.0523426661622395 0.0113131852017509 0.00747076440230463 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.776153535178161 0.708271276908583 2.02860537349919 0.952743375473691 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.270325730541237 0.239738361863382 0.213197386466836 0.133810755830035 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.149517424832818 0.130576029559728 0.0611056329248153 0.0423893949364451 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.102494755063154 0.0866266555120393 0.0274056712036562 0.0196784892483562 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.137325300912918 0.119731445422471 0.0582443573546027 0.0356598125109677 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.047291345302651 0.0408538002898131 0.00640438779366846 0.00439172961920906 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.029781878190221 0.0226354035002455 0.00241348792643554 0.00142800536406887 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0296316283504661 0.0160411160521421 0.00275206985451863 0.00079312799783637 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.261901352760549 0.23602903808643 0.211049132275973 0.129880120378141 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0899805973377661 0.0803996137512468 0.0228338922194265 0.0164439183983575 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0516946129366199 0.0441111268471371 0.00710496721654104 0.0051742056060194 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0417906531477887 0.0296771098070948 0.00469452427964302 0.00246434396787487 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.514574198981903 0.472370625300492 0.852202285551024 0.465816115667495 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.176887104114357 0.160010122634547 0.0893336311917052 0.0621729535619679 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0985311183434819 0.0875027953250439 0.0261020689356837 0.0195632641737862 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0700985440113352 0.0579201076740456 0.0125666562418965 0.00884517311289717 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.53808473928423 1.47683892544593 8.66223595994183 3.41140664222509 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.517099133915474 0.480592701199207 0.835743076998974 0.482984872844121 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.286940733073954 0.260608628092741 0.232370485870747 0.159648356630995 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.193729332373737 0.171159577742448 0.100836354187038 0.0714398276887558 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.5723512316514 2.58401250919998 25.6067960757296 8.88302923911989 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.840921543967107 0.823600683029212 2.39250414849664 1.26869495830313 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.46865762394897 0.440517656806569 0.665888647059411 0.432500323474835 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.317595581540227 0.288470322527205 0.283953935476563 0.199383047507865 NURBSSource NURBSSource 28 281 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0224680800420518 0.0247524803984281 0.00173055518368896 0.00158651203287954 NURBSSource NURBSSource 28 281 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.00789430966972115 0.0103133566661411 0.000179391950212456 0.000246392691267565 NURBSSource NURBSSource 28 281 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.00828526957768319 0.0106300521265981 0.000152035739358648 0.000354797235659957 NURBSSource NURBSSource 28 281 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0136814385874982 0.0145146188536081 0.000435922140794537 0.000866659668009711 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0420030790010112 0.0418310058986797 0.00533035523604026 0.00448312006550116 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0142899309447923 0.0153476927552873 0.00054728944707642 0.000542781118090555 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0107001466305657 0.0129036552737681 0.000257002751844613 0.000464362531668503 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0144606175202107 0.0156822468425498 0.000493052114432616 0.000935341358586037 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0727280986739341 0.0706333550320177 0.0157664319483404 0.0130758451132005 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.02458789896788 0.0245452033236077 0.00163181597896086 0.00146310470822501 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0155308685517332 0.0172879752319761 0.000560999273251878 0.00077916242476529 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0164593748635522 0.0180225049510685 0.000633995322990629 0.00111358194900302 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.138587429481499 0.133699401908488 0.0581771457362602 0.0470166874728652 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0466499825133159 0.0453260019373531 0.00598387479307308 0.00523796551307175 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0269582703122074 0.0280241962032767 0.0018005442819478 0.00205912575823376 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0223907947124509 0.024120997086447 0.00118310062718617 0.00179334456251878 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.405931244152474 0.393810283979289 0.557115938216566 0.374787118122335 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.137266834800878 0.132103587367988 0.0549162561725093 0.0451191491834021 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0760798852248153 0.0759010195408591 0.0155305411882741 0.0160248653295426 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.052968115865624 0.054537330881335 0.0072168551378847 0.00888262786574219 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.66929729458602 0.656662422519821 1.6656662103943 0.954692153259764 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.227265610280775 0.218593728920425 0.157147148781945 0.119658332502604 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.125739672420148 0.124682493087667 0.0438625962108559 0.0438871663805432 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0854406627301269 0.0868606893099474 0.0195396132683864 0.0226172913576654 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.114881812148803 0.109672997913435 0.0393945770409628 0.0311268989595782 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.038629966943857 0.0375687995451905 0.00412719172540919 0.00362719365329546 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0223982335295708 0.023676622297879 0.00122932095480186 0.00144529705555638 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0196296272258923 0.0216491805717091 0.000873315424374286 0.00148133387016752 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.224999874039596 0.214865059847938 0.157468012706771 0.115957868182338 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0755379362828454 0.0726229239784257 0.0162235467859613 0.0139093725609004 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0419799790351697 0.0423671801802763 0.00468044247034075 0.00476160469919542 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0307987664763086 0.0329123049342033 0.00226460081827987 0.00318110869839898 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.443234534980631 0.427322805918156 0.671381718204917 0.423700136388451 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.149665573114875 0.143608318682113 0.0658387328428141 0.0539960679884547 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0823102029233321 0.0814286961858617 0.0191988896499442 0.0178907813875141 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0561154881910216 0.0582729537750162 0.00820935526638291 0.00990438630544668 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.31451496301292 1.32012856008284 7.28330751818671 3.15325709836751 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.438158178322078 0.424767646225764 0.646432627988428 0.422112926965484 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.241741135993138 0.235759409613582 0.192144686005924 0.144562708430134 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.160989930196621 0.162991316695529 0.0726200861754748 0.0781321811233942 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.27758604088688 2.39908804041917 23.3368466367716 17.4625380594539 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.734292668397733 0.810197845717302 2.18193262364326 3.68481431530323 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.411704173815318 0.485910306506678 0.717365821440576 1.54969489867488 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.28481839959669 0.362611713175861 0.269452645199048 0.84463382954112 NURBSSource NURBSSource 28 282 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.01579098195948 0.0411035483534668 0.000636896553656456 0.00295857465853925 NURBSSource NURBSSource 28 282 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.00798269630144377 0.0308298794466528 0.000201219098818255 0.0047327973499758 NURBSSource NURBSSource 28 282 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0114655019332197 0.0516615378070839 0.00058583025179619 0.0195038320984581 NURBSSource NURBSSource 28 282 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.0177461897180533 0.0796713562119156 0.00149234028438502 0.048913743985192 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0274751896284402 0.0549518977225865 0.00195359776038256 0.00591926592227873 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0112852346988715 0.0341578901491 0.000357848752119244 0.00524418925675564 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0127361864004701 0.0530378366816048 0.000641015000003469 0.0198248855798292 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0183287285714292 0.0804443518896282 0.00152062010216715 0.0493039476640464 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.047183139508337 0.0829117483022609 0.0059855113498635 0.0150329200415595 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0174344111091516 0.0414746460685945 0.0008257504605065 0.00662751817754243 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0151916859479577 0.0561376221710636 0.000789674111420998 0.0206001845138134 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0195506963481647 0.0822055041511528 0.001597794516509 0.0500429950473728 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.090041583711647 0.148665485845122 0.0227797616699227 0.0520370684252633 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.031632257477557 0.0604005695953918 0.00272858615154489 0.0117134351056929 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0212977193260562 0.064355324166017 0.00134731140088676 0.023079650103687 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0227094379685991 0.0870322711386438 0.00186887605977107 0.0521838975855594 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.268252454674155 0.423844533490333 0.223892485812428 0.422781703819049 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0916436346043081 0.149314341613235 0.0239436685322031 0.0613310560718946 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0509369030554071 0.106064747411201 0.00728181579773308 0.0432074066364876 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0393697329636122 0.111989026921101 0.0045616886203487 0.0672642797465307 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.455011323200731 0.692434743272628 0.692246987438763 1.07011111694752 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.152236046055998 0.242301238609561 0.0685308715649977 0.156285145165434 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0826531031425171 0.15340060502766 0.0195717225390414 0.079541637046567 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0587600169186392 0.141366500997659 0.010028845762511 0.0927208080203423 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0735449004229986 0.123723307290366 0.0150775531415998 0.0357650082058518 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.026576684029042 0.0531184504553084 0.0019332588829159 0.00956799068116814 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0190523146936762 0.06085102427589 0.00112321669419357 0.0217505338969083 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0215376608967175 0.0840726543559707 0.00175429859647184 0.0499345281379124 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.144290912680072 0.235169773529845 0.0612044163568789 0.133692701392143 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0509232624979154 0.087598721259215 0.00722366079420866 0.0227132260401713 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0304453841250785 0.0763053382614829 0.0026565490470877 0.0271908971800729 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.02751242025188 0.0922229129817431 0.00243489611477924 0.0530297290016246 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.289577776211437 0.459357150300656 0.266288620224416 0.497840152269894 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.100662580166458 0.162402607395918 0.0293945364744836 0.0727752190535589 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0559407248363798 0.112475749119058 0.00899967600269614 0.0461872111272542 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0417255835358097 0.111832216401382 0.00507465831769383 0.0635516185649868 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.946619743954425 1.28311608183899 3.35270414484733 3.25159846104029 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.301226809732706 0.463098252426853 0.293749014978152 0.552076949577437 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.162478892703232 0.275181569050861 0.0813953589018281 0.229331308475134 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.108240522695512 0.212657149109224 0.0354837792507714 0.169127180828618 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.77376052480992 2.05591924718372 12.7968135832264 7.85727104854193 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.523870165239571 0.756434460896118 1.03508323454846 1.43031548573418 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.279125353800013 0.444041812384604 0.276855002311921 0.585605130728927 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.193846059216204 0.323366014381115 0.146142771061713 0.39530252897075 NURBSSource NURBSSource 28 283 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0159018863702102 0.0110751284047776 0.00090829206170713 0.000358964179416034 NURBSSource NURBSSource 28 283 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00550581965759607 0.00403504671979698 0.000114622513161075 5.13232480143494E-05 NURBSSource NURBSSource 28 283 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.00435102681296206 0.00356211419186619 0.000101373231371809 5.42184985049474E-05 NURBSSource NURBSSource 28 283 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.00605234835356201 0.0053655975784807 0.000287411220837229 0.000163973029963901 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0325169864898331 0.0212998842046631 0.00321077473307098 0.00112705028366149 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.011091416620648 0.0074999845069426 0.000368872755342748 0.000148449194181881 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0071392059879657 0.00512610135539679 0.00017610353755696 8.44951749576949E-05 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.007218200385733 0.00605728592433242 0.000308569794266361 0.000177057461207552 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0578827318315448 0.0372089502576685 0.00978042649542118 0.00337839683311162 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0195984958435638 0.0129311353745419 0.00108664018285214 0.000431615035134706 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0116418050854865 0.00774961064143415 0.000392314355076915 0.000169964717018002 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00970558241175903 0.00737787568030854 0.000393622773212015 0.000216632423951753 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.110888650182384 0.071744501303461 0.0357028075384674 0.0121292213675176 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0376166659978333 0.0246104968280857 0.00391008082684372 0.00154706401708075 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0213625790170539 0.0137591038795829 0.00124564848810685 0.000505210480403804 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0155799168495036 0.0107029896015312 0.000748895916578018 0.000368024325497347 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.310407417997314 0.225253762720977 0.30939450281243 0.0998639943225732 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.11048219965505 0.072961415477308 0.0342700099170647 0.0128303222187035 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.061462493255991 0.0395164392106756 0.0103317347605902 0.00398838689910043 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.041136392712962 0.0268405148679202 0.00462529919484834 0.00195398071701546 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.495748375298638 0.400528958424749 0.870985901519079 0.274611919874901 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.18076755188384 0.12268807476107 0.0951729686883197 0.033878602535807 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.101452018961356 0.0658882883300209 0.0288697119878998 0.0107414758939132 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0672798716777019 0.0439796087836341 0.0124794264860471 0.00509268058779862 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0918315335597995 0.0590676125438872 0.0246351477814918 0.00844709063346813 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311314959414846 0.0203140044376805 0.00270118925698498 0.00105746404437366 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0177313250725249 0.0116152624631381 0.000868646817249124 0.000368846765546055 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0136652689482811 0.00975053268887645 0.00064627262612728 0.000339723280411447 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.177463235317114 0.118217482869046 0.0943895004682122 0.0315545122701611 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0611354672392995 0.0399034368085646 0.0103482716665671 0.00401226429097023 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0338633762999563 0.0219445363294258 0.00309939012806513 0.00126916018067533 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0240048713281789 0.0160683453518383 0.00165002530743508 0.000781179946697015 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.336576601109588 0.24881068296218 0.372009346414515 0.12142430781417 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.120499743469731 0.0799480658345506 0.0409650360860508 0.0153739907584337 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0665460391495949 0.0431951816924716 0.0120419603285005 0.00476316350453156 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0453058932605598 0.0297371620744333 0.00557591101837471 0.00244028742210157 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.955184234845873 0.864090118361203 3.6024232088739 1.09621393927762 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.336284255261122 0.254247414520101 0.36372500147008 0.125697408784583 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.191437277051648 0.130792631960698 0.106207604307919 0.039070412507425 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.13027035732534 0.0863747517736653 0.0481169184249392 0.0186590958728825 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.60721546772312 1.53489954573077 10.5565259647025 3.02922454623268 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.535746947215829 0.452133980589387 1.01999251029221 0.335125280436334 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.304508288252816 0.225982246083844 0.292385344980614 0.103510264424795 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.20992840101859 0.145941144226145 0.134431531501076 0.0503888246977692 NURBSSource NURBSSource 28 284 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0192830526071041 0.0169306877631537 0.00130042052160576 0.00098818808281784 NURBSSource NURBSSource 28 284 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0066561252681953 0.00669628320722747 0.000152245887191659 0.000158870642977884 NURBSSource NURBSSource 28 284 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.00512612710217748 0.00670000134987764 0.000126261213161048 0.000364173118278367 NURBSSource NURBSSource 28 284 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.00698960298121385 0.0105175558763624 0.000332739607688581 0.00130195375083625 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0365648955207013 0.0279104501852355 0.00400342630164709 0.00201962903113369 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0124294600121475 0.0101350899678661 0.000444758657945313 0.000277987281616041 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00797571778477091 0.00842448970313643 0.00021236479322557 0.000412817396842069 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00832226539112141 0.0114627479177088 0.000366096702120586 0.00134262488241424 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0634145485134653 0.0451432408082297 0.0117070514132023 0.00495856261963138 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0214677055621714 0.0157711514497467 0.00127732625136722 0.000625177784014633 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0126333413372124 0.0112392731071751 0.000455737169852135 0.000533781648707896 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0109189458428626 0.0130816397036859 0.000470960090234906 0.00142293557984453 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.12037824995353 0.0836921205644128 0.0422253451757173 0.0164819666488735 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0408995566287869 0.0284488932268843 0.00456883183750506 0.00200988700710503 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.022941949840998 0.0177146611389964 0.00141156725195089 0.000987359726057095 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0170678734114788 0.0168776187251858 0.000879627149186784 0.00168162945840583 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.337192190778169 0.25796815654959 0.364389140755456 0.135760446404531 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.119727688217174 0.0825500686583756 0.0399585665370031 0.0164204394016977 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0659530765127253 0.0462691355158777 0.0116340451426021 0.00560399384011841 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0445241347669092 0.0343651751499448 0.00522291377160235 0.00399064950896579 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.542820439056934 0.452382711690814 1.02835355541166 0.373838253650499 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.195760718226005 0.138987236798234 0.110580653394089 0.0439931290638861 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.108815378815141 0.0758906605017234 0.0322020015962962 0.0145304942552848 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0727342038901005 0.0531349593451815 0.0139470711415885 0.00830578374011582 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.098377589286962 0.0681052213847298 0.0281458354752958 0.0110476985667341 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0332714406350533 0.0235287095879987 0.00306567497424225 0.00137298978248497 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.018923894869435 0.015115169652022 0.0009777798691268 0.000794243274128397 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0147094192005167 0.015394910299776 0.000699788980564721 0.00161665046405968 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.189152997291345 0.13398617341989 0.106887600703038 0.0404148435504472 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0650598253007517 0.0449428135388293 0.0117152144184526 0.00498406877457678 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0360211350307326 0.0262931444751342 0.00349065182965519 0.00196391278741273 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0253171821406916 0.0221385491627667 0.00177730145524226 0.00227943174205319 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.359737667588376 0.279495920359407 0.420248441672049 0.156652788396268 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.128110264556108 0.0893813135624747 0.0464720437316047 0.0190503408620597 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.070680097094264 0.0497651076017963 0.0135682426011342 0.00645979825224387 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0475547551866796 0.0368160866797201 0.00609839574881758 0.00460159793618062 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.02535009013591 0.937583916100089 4.06475914004129 1.35854379581771 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.359400703695369 0.281949061342357 0.414207890711304 0.160641464903635 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.203643511607119 0.148286867609791 0.120190124726153 0.0518474832956008 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.136629434134877 0.0996197947255679 0.052242576192095 0.0272513952314618 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.72581420573765 1.63623259890633 11.9856921117678 3.60522881936019 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.575038788770724 0.495696151645932 1.16666204913607 0.43698921591569 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.323287211636841 0.254270714747151 0.329090744903069 0.141122852057788 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.219956489340977 0.166414943970095 0.144286139798216 0.0749555015465378 NURBSSource NURBSSource 28 285 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0241784531482797 0.0106985725950157 0.00213362751418173 0.000334044797541065 NURBSSource NURBSSource 28 285 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.00808655973540372 0.0038324014889726 0.000204035972485353 4.53907050602494E-05 NURBSSource NURBSSource 28 285 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.00651868712698828 0.00283208250255258 9.28519445040711E-05 3.47230418973792E-05 NURBSSource NURBSSource 28 285 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.00964581558319244 0.00388302489592221 0.000165286408228894 0.000107673390947459 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.042239868187887 0.0221933756360522 0.00563259985853048 0.00129719203332351 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0142504368838779 0.00772673733770802 0.000576850962227991 0.000160207850429965 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00915694861307905 0.00475848959971633 0.000193394785635023 7.16036283111415E-05 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0105943517990264 0.0048772384422031 0.000205580153175336 0.000126773273415828 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0720533598230785 0.0396056576293413 0.0155607024002202 0.00409369372690289 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0244649017223722 0.0136737406135732 0.00166294334118486 0.000497750165220683 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0143018906086443 0.00787063617410724 0.000498815676844659 0.000177334027800183 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0128523486522924 0.00663382124378897 0.00032609620652338 0.000178422676540835 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.136380124833977 0.0766852854403355 0.0544373175957059 0.0149109690197308 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0466433574854293 0.0262879142536248 0.00598688513686819 0.00182710139475137 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0260977160453247 0.0146405408609551 0.00174868701503443 0.000591614103691521 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0192584635456475 0.0107325947463892 0.000836438450679658 0.0003726015688813 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.387203471870773 0.238224447528783 0.457845576877674 0.124583585980927 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.136949463675786 0.078097140820585 0.0521040119184356 0.0154015304686908 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0754560769024041 0.0428897559396435 0.0152634420732873 0.00497015798691362 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0502967801010491 0.0288263861413241 0.00665615360899841 0.00237244064479426 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.613563613713075 0.422588344443152 1.24279429306454 0.345690705802319 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.225381100777469 0.131051287707961 0.144545746195861 0.0411719220133495 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.124629265535695 0.0714304934840998 0.0421259870175883 0.0135782257057429 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0823321892338376 0.0475858566185296 0.0182215098515114 0.00642107361220036 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.112955751075061 0.063250329826648 0.037792552981955 0.0103529800753959 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0386081720870243 0.0219123485702066 0.00407344535420471 0.00128138422329191 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0216904415076832 0.0121406070827679 0.00116183607377902 0.000407665227106343 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0166685572075296 0.00924315125839732 0.000584324825867271 0.000294341580110282 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.218667828469978 0.126426870266746 0.141829570778273 0.0388089050114129 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0754905095648353 0.0431592902970055 0.0156475436819718 0.00487884734817344 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0417005446898743 0.0235360024728744 0.00449432417766098 0.00149614560812679 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0287744695854553 0.0164436184337457 0.00196284637747599 0.000809162636211096 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.418858351601596 0.263589316312662 0.546469855041473 0.149606550151485 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.149240129576689 0.0863740063800083 0.0623279669449073 0.0187626158665917 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0822554704273554 0.0467590668684848 0.0179828326507173 0.00575101803653357 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0549447139904264 0.031571735202731 0.00774090647208285 0.00279181204926473 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.13105257542956 0.930296748746158 4.84506856920785 1.38246043346484 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.421880507874693 0.271937890403923 0.540914868989757 0.156141885478005 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.239697366177613 0.141472157814947 0.161979679451001 0.0480544354509558 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.160003123348401 0.0929183270607149 0.0699195039549655 0.0221154757950969 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.85263313024278 1.69256477980263 13.890873382055 3.88793418622148 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.659420371741425 0.488954442085568 1.46827521007693 0.427989369266318 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.381108244972464 0.243615349550505 0.430160801266601 0.129217044537843 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.258604465378607 0.155840217892523 0.190004159931919 0.0609916247111947 NURBSSource NURBSSource 28 286 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0305673891134513 0.020234967741251 0.00352561762732732 0.000979200080637149 NURBSSource NURBSSource 28 286 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.00963467297085952 0.00716046252181926 0.000308437072431151 0.000122566705142058 NURBSSource NURBSSource 28 286 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.00599590559887236 0.00487328123298699 7.98793189208685E-05 7.28000549179113E-05 NURBSSource NURBSSource 28 286 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.00707997985229381 0.0057377847602538 8.18587501731456E-05 0.000175441867934406 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0515825707640317 0.0401821556687169 0.00853844963151991 0.00382540276794962 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.017088348819357 0.0138833201376403 0.000848540340216852 0.000459788635886416 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00966256628983464 0.00824746618424827 0.000215278075824034 0.000181152313162658 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0086611815454385 0.0075439320091039 0.000133416675621411 0.000234557544224701 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0866316113089199 0.0714932363927548 0.0225893426096042 0.0123765316233411 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0293249961483291 0.0245568749161171 0.00239513670002464 0.00148187993133012 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.016192298904287 0.0138826406445315 0.000633248728754287 0.000500405470025693 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0121942040837171 0.0108032039765166 0.00029519182942313 0.000392320674529399 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.162930170737121 0.138063320383323 0.0778726191195944 0.0458004074630561 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0557940785482028 0.0472934063354414 0.00850354167276134 0.00557553904231889 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0305538590964807 0.02618069034035 0.00235348372339551 0.00177379951465189 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0210137351704812 0.0184558320379137 0.000994528131389749 0.000994021585843327 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.471949130923042 0.41233175143431 0.692860901735764 0.365366896861587 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.164121733477177 0.14018685928982 0.0746112444008928 0.0477141659989513 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0897422883343223 0.0768492509661286 0.0213846757425544 0.0150583367635236 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0595263132347442 0.0517332007776041 0.00895261058922421 0.00720757651569555 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.77419220242006 0.695009415009079 1.99987659159291 0.927116863670237 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.271089744887091 0.23365577430632 0.209703692049913 0.127304129100773 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.148677405271111 0.127582996524365 0.0598821523472518 0.0406823153950724 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0984068465752976 0.0855217813274675 0.0252311735381735 0.0193419778378229 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.134612246823559 0.115142520444794 0.0529571726728178 0.0318120088271621 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0458148117854455 0.0390088653642905 0.00575103689011551 0.00378865092992686 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.025285760625317 0.0217565612789872 0.00160423226885644 0.00122786329204221 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0177664783709214 0.0156813994343402 0.000680700941815908 0.000728567353239141 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.2616384810589 0.227109251891309 0.201186465822574 0.119131366848199 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0898162671955244 0.0770408413920915 0.0220244331672551 0.0147647531687904 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0494351818409867 0.0425502146041442 0.00631499094280008 0.00467831765718141 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.033161846363147 0.0289303010476028 0.00261737433119906 0.00230095642983186 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.51155202438079 0.454944193736439 0.817264388930172 0.432620030704259 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.177963369877362 0.153498536863193 0.0880694865581656 0.0570273477272664 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0981393698502575 0.084528053840916 0.025469448953346 0.0182391784070589 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0650083669696275 0.056372137925035 0.0106940989973532 0.008459750270881 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.50732562739647 1.43531106857532 8.43940434083276 3.21251766560746 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.518239546880782 0.459322328087682 0.831355691258385 0.444127256982168 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.288359834582169 0.251334258529887 0.234540826453809 0.151428670455815 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.191801317030243 0.1659404453894 0.0996179998995556 0.0704656279418533 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.56575836220839 2.50184467908626 25.8076342621904 8.33961346359165 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.841977946684782 0.773611622738011 2.44858949815022 1.10446544655386 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.469538609971074 0.415489147600145 0.671850580543156 0.385821004831958 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.315405967738615 0.272497177601423 0.298930339560036 0.186293767373847 NURBSSource NURBSSource 28 287 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0123315955018381 0.0297683523347176 0.000339227186467892 0.00129002503739266 NURBSSource NURBSSource 28 287 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.00436185639585078 0.0121859801735536 5.08852972169437E-05 0.00041438509116805 NURBSSource NURBSSource 28 287 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.00339619782860484 0.0165969591468989 4.44788449379882E-05 0.00152135336935098 NURBSSource NURBSSource 28 287 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.00442251954687973 0.0256064634426883 8.9658354090509E-05 0.00419916558592929 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0216707735971637 0.0515481171933757 0.00102948740499051 0.00507549451312801 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00756041794981489 0.0189497566985524 0.000138845712052724 0.00091144029322599 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00490343425229077 0.0196016183667884 7.54711043627967E-05 0.00177182540027876 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00511570189667525 0.0270959139999737 0.000104830980828606 0.00435588261751688 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0366760161979808 0.0882184500243827 0.00321051218680874 0.0171909798574307 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0127544288261496 0.0307222407157333 0.000404370457766671 0.00238572133599403 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00752177837004866 0.0249852024987589 0.000161651819341292 0.00238011823845753 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00647095208333184 0.030053140045984 0.000145004706736734 0.00474141239188539 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0696491540937157 0.167191538976268 0.0126284108339677 0.0666317291822032 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0240924374533007 0.0569265822856329 0.00149532651471991 0.00828955239625539 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0135140715345753 0.0375417873096635 0.000500674707389468 0.00451936767284806 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00987356484318282 0.0372816703875979 0.000294782533453434 0.00598334246570053 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.219337156607539 0.471681597515407 0.152797586391913 0.520347110466244 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0711923009288069 0.165399078659177 0.0139240024067973 0.070096157950933 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.039016323119677 0.0946295662789029 0.00420147576164899 0.0254578608755095 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0257145378870965 0.0721866744797534 0.00185519013288406 0.0170980649541712 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.401956739718029 0.737968898789787 0.58356639440322 1.18790727927162 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.119676057078137 0.271697359417572 0.0415759627324883 0.186413833525592 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0650149987935248 0.153896517307842 0.01201775053419 0.0658694485107406 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0422525965675723 0.110590141296363 0.00506689351369298 0.0379367958721694 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0574817228561101 0.138262481980589 0.0083647398889917 0.0444848871384663 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0198467197477032 0.0472366822233204 0.00100668730491843 0.0057615233670762 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0112587206919711 0.0328600928585021 0.000349100136160106 0.00352896196003485 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00872670659420816 0.0344724231290814 0.000237788899980095 0.00542239184409494 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.114205461691533 0.268491142118024 0.0362154552407947 0.1724041748341 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0387886372551081 0.0915110036066846 0.00398578892617642 0.0217608756273193 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0214379454430881 0.0550020477315877 0.00125815028151854 0.00878694934276032 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.014967704965676 0.0479746697201775 0.000650845820018185 0.00836022896409645 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.242385507963265 0.511922002549079 0.188977648613942 0.601635501021079 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0774537952081534 0.180686485115924 0.0166572663249618 0.0847178391867519 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0423557462175295 0.102172174527642 0.00501406889117663 0.0288413868319918 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.028404721030305 0.0778666660047305 0.0023296243548532 0.0188674518387665 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.931970784527937 1.32306951518361 3.48314379364002 3.30322052756703 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.248809459730499 0.505501749234379 0.203977287919612 0.619846841276454 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.12896738440941 0.291089192804081 0.0518980134400384 0.226932269249099 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0842918718968428 0.205556792372948 0.0218605305183557 0.125141548926459 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.77137778494838 2.07953358502036 12.9587045075667 7.07270037244539 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.462739462728208 0.767626343775295 0.807519609856375 1.34037165545422 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.224086130176728 0.47217840034328 0.184554851971709 0.661310747228155 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.143850057339674 0.349120923494401 0.0731381769380914 0.41688375271942 NURBSSource NURBSSource 28 288 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0063182768088945 0.0232052186388737 0.000143565003906994 0.000961991054981213 NURBSSource NURBSSource 28 288 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.00264036513321274 0.0156366044685813 3.15846061162365E-05 0.00119234591852133 NURBSSource NURBSSource 28 288 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.00288260348272635 0.0288754989571731 4.88906134189648E-05 0.00559845858191576 NURBSSource NURBSSource 28 288 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.00432967112092282 0.047015075325681 0.000122173807505195 0.0153318265907734 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0183959068098041 0.0521876486392397 0.000976066058576155 0.0060314932773668 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0064767192687105 0.0230067922902542 0.000131583239666552 0.00195495385694355 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00453972279412911 0.0316423278635516 8.36191990677799E-05 0.00601604594571414 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00508212219173012 0.0482539981923887 0.000144198267275617 0.0156455990897727 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0345910147118025 0.0953233444437632 0.00343225717131016 0.0218754367584633 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0119060449855744 0.0356783702987552 0.000416418029171317 0.00403534337950715 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00720073045680071 0.0367785652487186 0.000174675184093497 0.00696684556468238 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00653170144518633 0.0507907480982219 0.00019362145291753 0.0163091263074109 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0683445998948236 0.185145226104658 0.0136502584950682 0.0858223894070232 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.023246343412203 0.0640945033182651 0.00154618081669335 0.0118787962912029 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0131267029128086 0.0494265596932876 0.000522164451901655 0.0101198581237564 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0100394774392009 0.0575267414108154 0.000367295603588829 0.0183842745946161 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.215353452932953 0.535642474164446 0.153227506916551 0.705052537268407 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0695223631362211 0.183659802442673 0.0140151837006225 0.0913301660069585 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0380983787849242 0.109267704731341 0.00420228821908816 0.0384301526736708 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0260292248377623 0.0928945194333213 0.00209747603594154 0.0352389319636855 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.390130381230092 0.849372340918716 0.56193199254293 1.67966394056778 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.11698957009281 0.302006561906056 0.0411468225160975 0.242175403960475 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0634416601401173 0.173253367829857 0.0118131205507211 0.0918766520809914 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0428067824165566 0.133624485531344 0.0058095867761586 0.0661321359883147 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0554905477549207 0.151860362964819 0.00888164292886527 0.0574269532430579 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.018922683559633 0.0538917383150454 0.00102902756483585 0.00854318695235965 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0110054302524747 0.0442566155729651 0.000387704031983003 0.00853941356624801 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00866745050128454 0.0543133374391709 0.000299611425463093 0.0168196885536612 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.112074483951972 0.298201367054328 0.0379557663223975 0.223929760070033 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0375573694107031 0.102485844046245 0.00402594149237923 0.0292283284709575 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0211356771655857 0.0668914695959691 0.00136651187425213 0.0158503995181936 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0150711941319101 0.0668253759212682 0.000796744669957782 0.0208410731197693 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.23653032585713 0.576821852514992 0.188461522926809 0.813626175176783 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0753436586872879 0.201266662605579 0.0165226580463564 0.109762793590539 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0418462656221093 0.117327192910766 0.00535313052509065 0.0430999537187251 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0287430505150393 0.0967777696734173 0.00276699820919405 0.0354013651489502 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.925528050758405 1.49771818869744 3.52732118389445 4.63079819909564 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.241155626366888 0.566230810781397 0.193983983793173 0.820784303576581 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.127803451104361 0.325118410775074 0.0556035056631101 0.307249506680975 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0856907907545689 0.236408334075446 0.0252903200957751 0.184828776133197 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.03007852078567 2.30527642050897 27.9697377172677 9.48241297014484 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.644933719616144 0.894372424085559 3.58842625804532 2.13953940508846 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.357478909411542 0.597045956927851 0.998572251374589 1.31746279135816 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.238942277146048 0.497187269725749 0.410362652377603 1.10698293448989 NURBSSource NURBSSource 28 289 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0221169408550099 0.0394861873217329 0.00114209523591646 0.00296520073501713 NURBSSource NURBSSource 28 289 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00727221536057071 0.0129250165975443 0.000134077330376167 0.00037328580305052 NURBSSource NURBSSource 28 289 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00423947691251361 0.00815216207055584 4.38333001173867E-05 0.00018537884928783 NURBSSource NURBSSource 28 289 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.00387233914432308 0.00879249152576289 4.08507318201831E-05 0.000326081321511205 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0415906669068911 0.0524018994458712 0.00417115892454698 0.0052131419178402 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0140826889797937 0.0174828727228066 0.000489191697983194 0.000660454109855782 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00777817740383952 0.0104221445068594 0.000142223576975488 0.000272055618340964 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0059053135695007 0.00996448539469283 8.31482476493815E-05 0.000366808322987452 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0724518045950783 0.0765830848196317 0.013585489045411 0.0117583235084436 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0246910083149813 0.0259718181702556 0.00156017986801066 0.00151167201593324 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0134747644174308 0.0147817741531603 0.000444645024717664 0.000529061538631548 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00942268344194142 0.0123520392243215 0.000212098100182997 0.000488967833710595 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.138625707757893 0.134351205970666 0.0535205511162596 0.0375243858912312 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0473396910725619 0.0460253588250427 0.00595837217001891 0.00493869173565144 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0257621130287252 0.0253806760647067 0.00168845121211871 0.00156592061589199 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0172689358158331 0.0185974177059776 0.000741927358718805 0.000965609597186246 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.409482599997765 0.390911587062108 0.530755287960136 0.293535731256367 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.139358247766003 0.131992828905369 0.0556127583081015 0.0398425053156721 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0759476194917708 0.071678724390042 0.0155979796476052 0.0124413209985844 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0499583631041355 0.0481043143254322 0.00657704564794755 0.00591737438019167 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.681086148431447 0.659376791420546 1.56723598768167 0.765435637519508 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.231754185284652 0.219729879871199 0.16138454661388 0.105270204647046 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.125976003337015 0.118873572948843 0.0444155106559994 0.0335326110015233 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0827125903625256 0.0788968271933439 0.0185724341495333 0.0156043530887419 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.114922269618598 0.112930768656344 0.0359595414274721 0.0264573718241136 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.039577528242248 0.0389148060880408 0.00409107060329792 0.00345301603670611 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0214737687642831 0.0215732382080567 0.00118404309748232 0.00114030898996258 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0144191239748913 0.0164818800313162 0.000511882801520681 0.000797980642946031 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.225488786451188 0.213980146706039 0.149475346312787 0.0939254935081454 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0777635026757684 0.0739118252712651 0.0164512172130762 0.0126499115643378 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0421528569070786 0.0402457992215246 0.00471693414193159 0.00399912806431097 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0277458579925512 0.0281141606595574 0.00199046463537959 0.00213182665217594 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.448286173045254 0.4279606350249 0.642285689834408 0.347997105416355 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.154521229043191 0.145926740287354 0.0684375423935931 0.0478199549814133 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0837327622078082 0.0787551425132026 0.0193763079269393 0.0150861539335954 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0548678497834621 0.0529398361130501 0.00807389032351206 0.00727292460614062 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.35844435643918 1.32482217312074 6.74349746124123 2.64205144178692 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.460991130969073 0.440600892933572 0.681162998730705 0.380329032070266 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.248797766941599 0.234239116995042 0.187019516520804 0.122950889411941 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.163195697604831 0.154070792543041 0.0775370282389973 0.0580805556062026 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.32146202750098 2.25126741173857 20.4048695250051 6.73214368545656 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.771458011511573 0.735875009008705 2.01746731580925 0.957425318642724 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.412940727891765 0.388120339517951 0.545224944482156 0.315481334441792 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.270483925490841 0.254390378110376 0.224386237942585 0.153334614702042 NURBSSource NURBSSource 29 290 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0865294078850852 0.0492759370095301 0.358541434393113 0.0101537086448161 NURBSSource NURBSSource 29 290 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.222131411248204 0.0360461350403962 5.29507162960021 0.0393732300569209 NURBSSource NURBSSource 29 290 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.590283121022783 0.0697479867480743 11.969670001672 0.137762687070427 NURBSSource NURBSSource 29 290 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.886619714575306 0.118091723896211 15.703510987145 0.295690208189333 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.101584374000414 0.0673853780793141 0.377006998882202 0.0395230704532632 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.23243317666835 0.0478259588451651 5.31867988027052 0.0598203278099858 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.599070803874871 0.0789514581389719 12.0559276244211 0.147183599767167 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.894401402805399 0.126933229041504 15.7957738568024 0.30813999143254 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.130635593195302 0.0999819981796955 0.418538793239792 0.134260816537984 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.251025507946548 0.0656028355661856 5.40261801320882 0.0954563971253957 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.61405241186161 0.0934442354413438 12.2180231055669 0.177218162559981 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.907364784549196 0.13953956535564 15.957652415617 0.33278629700154 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.2029361728175 0.178652300664937 0.575228841361897 0.669609884778258 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.293344426843345 0.106271665064104 5.60391544834068 0.237896013071459 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.644770821612048 0.124248681970995 12.4513236250885 0.28963169017535 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.93422879108083 0.166377706517411 16.2000923922511 0.410557712691252 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.530375924882814 0.514800968720199 2.45263849053262 5.38888770972178 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.477143430165151 0.280828327713186 7.38534542838952 1.63214635867478 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.784013166162751 0.261784449335172 14.1220450352529 1.28996325681192 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.06206396623402 0.279853179033495 18.041055939241 0.978735600349867 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.91290630914166 0.860847774009885 8.45020492031703 9.83351381308169 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.692147723056347 0.463423389686867 10.9618267271775 4.23331685312791 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.951324810573886 0.409436312391622 16.9154095940364 2.82810602581057 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.2092093229096 0.411468762694676 20.6695152310992 2.00236945703332 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.181361425320583 0.142594626279631 0.738170715328345 0.196636104940906 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.273357763111189 0.0887610976428876 5.4030561152101 0.155704790734445 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.630117704447186 0.111297923360625 12.1371865767608 0.216963784880892 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.916315227921594 0.156177259566745 15.8339245660355 0.370311048515538 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.313199116781466 0.26852345735395 1.54544939576016 0.75990528977134 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.339421307677665 0.153887540183714 5.74173339303234 0.472927607133942 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.68431105794481 0.163143735124823 12.551832118707 0.43928279050366 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.958737539694343 0.202711405833317 16.1664302462352 0.553046487757187 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.599337880371493 0.575872015564379 4.55236540737374 3.88274533999455 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.494616504879255 0.316333517579787 7.20397313755496 1.36833555517889 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.818881022439895 0.282601228471547 14.1693778128837 1.01197183488214 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.07789774654219 0.301946056582163 18.2310118154635 1.04504696458222 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.91134666834028 2.03763355762355 35.9963848817687 35.8030773283206 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.2294646056705 1.14952459599838 20.5463840940743 14.6667608819009 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.41414294421941 0.922081491383175 25.4007130849288 7.98138621996436 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.52840671577351 0.882869874080316 25.0307659091723 6.75481720422581 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.91304104340995 4.28774057873712 145.948684321303 101.912523706101 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.4357115716638 2.42956315877945 57.8380059578914 35.5838136544764 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.41452093289333 1.90947880365638 53.2652464477738 19.8862982057145 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.44607527615489 1.71027690224697 53.2109054469017 14.9224018765074 NURBSSource NURBSSource 29 291 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.119383797751147 0.172481646625604 2.77364208558891 5.92907378961997 NURBSSource NURBSSource 29 291 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.262550169770497 0.468628425056393 5.97472242348491 12.3895656026473 NURBSSource NURBSSource 29 291 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.473330838090388 0.831819373630104 7.40005684292658 15.7177491049948 NURBSSource NURBSSource 29 291 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.615009572352964 1.05232097717422 7.53068407180603 15.2224657516577 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.147261715987905 0.206027265704129 2.85129141339811 5.98800849683279 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.281725290048963 0.491541134546294 6.00353150373702 12.4239148654662 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.491336918981908 0.851087991753252 7.43573839897834 15.7462506397551 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.63114401894127 1.06607489885843 7.60045725137511 15.2049145530229 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.190075831092288 0.255615176426671 3.01667320120727 6.17578503248145 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.308602787728539 0.522389683321326 6.10187271144104 12.50979687051 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.514908756882703 0.877830597981298 7.5332714567166 15.9928016883815 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.651187747657975 1.08578693002753 7.71005174093428 15.3603402932548 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.287789902634148 0.363885550603298 3.65182789990607 6.90352143558719 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.367373635362111 0.588580553751595 6.48549636352676 12.8202085733357 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.565010801332787 0.920593194672074 7.87698314903476 15.8542753343955 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.693747860905843 1.11194982640731 8.02099261260678 15.1131785731065 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.713604319200153 0.908608285673653 11.3538615979885 19.3820465917776 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.633296390248459 0.917981803621586 10.6348763149259 15.9264073327777 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.80010176428855 1.19069525230714 11.2908033112015 17.1683235200837 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.893936577720555 1.32949920476533 10.6253973095277 15.565530354107 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.24287897436968 1.41690637111827 27.865864480246 34.164972901209 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.9761294325422 1.23285317347175 17.5751899945595 22.2264030925009 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.10069057248645 1.4656214429016 16.6415371128936 21.2467695005385 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.12990820962664 1.53773523387196 13.9469947707618 18.0805906194805 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.262650804078016 0.311472371550107 3.81640740604453 6.31972303707742 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.357255224646186 0.551117240045876 6.58276762438263 12.1982548110172 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.548211970511685 0.889538383782475 8.01618938909326 15.3180021413463 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.682914262800001 1.09210202794758 8.24797822370317 14.822238750524 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.439488677810121 0.49575526014805 6.19472468441395 9.65027257938504 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.463261487238205 0.66691892088571 7.52545158963733 13.5511411002976 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.607377327767162 0.990509559997515 7.88961790434036 16.0096833270671 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.716838829540271 1.16526638294738 7.5883474110271 14.9565743352822 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.881496385771231 0.823814999872136 18.1757715272974 13.8803870659878 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.776066643194533 0.857393258245202 13.3806467277851 15.847694847006 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.852195298326768 1.13867106383807 12.1120953186509 17.092348953743 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.93564766754957 1.27990594204332 10.995634117457 15.5733068295987 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 3.71192425212392 2.79019527898762 214.333609223554 84.8863484029029 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 2.84292486866554 2.14126218874235 90.1455418666236 51.0434609418336 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 2.58596987042952 2.17363724652708 58.0870140683222 42.6956286499784 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 2.4584196364364 2.1322712461542 45.6214516096738 34.0005161628848 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 7.15899977804137 6.43887760847099 545.246850633988 243.317468706372 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 5.10670095540504 4.43808477093979 218.448662054045 95.586737886304 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 4.15529896454322 3.7757506637846 121.908475084998 61.480170355155 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 3.61195702167925 3.30751227118951 83.423624286228 42.7892242038826 NURBSSource NURBSSource 29 292 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0347951943203482 0.0967388012204642 0.162586584779881 0.457626959049621 NURBSSource NURBSSource 29 292 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0813498995034066 0.234163809874084 2.09749594973171 2.47982223252491 NURBSSource NURBSSource 29 292 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.23598293504301 0.490813820560857 5.31103203204174 3.95408947015865 NURBSSource NURBSSource 29 292 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.373921524280716 0.667747714561008 7.22106457162173 4.18990244055576 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0468673904346743 0.114367612381025 0.182241016698766 0.480769809605471 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0880017382505745 0.245511721413112 2.09047931607202 2.49833351903286 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.240483254419999 0.500130986163151 5.28566409734638 3.95368964480843 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.378071569678185 0.674720273438686 7.20414913596932 4.18353356856149 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0690877939733743 0.148999466222693 0.260909459674245 0.55532253489153 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0995374466411826 0.26378531250483 2.11182733215528 2.52654679631865 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.248264062398681 0.515043128490124 5.27365937571386 3.97362952336949 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.385181834688793 0.686394147154509 7.20544094904796 4.19693105894369 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.123956353354068 0.236192757889739 0.627177646726598 1.3189374938075 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.127424491414974 0.309061699473165 2.23365123813499 2.82722575386999 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.268142433847266 0.551621393314517 5.31492875354072 4.20780846031358 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.401685263927457 0.714777720888183 7.23891044832842 4.34304873057455 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.38205916804693 0.617166205367692 4.09611644339685 5.37215796949842 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.264996388197582 0.534672981134269 2.97613357478133 4.69138714135623 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.375029079925687 0.731730018488189 5.64691473289353 5.8467878049641 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.479207657936904 0.880646741150934 6.9940214202165 5.85144493997552 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.715712758435421 0.994089691497107 11.1830300558319 11.6449817895928 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.456875306913337 0.748537821571638 5.6205936935751 7.18217199480467 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.514108770392679 0.880151748562121 7.13193695710189 7.35699439223596 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.612113966351561 0.990986626060054 8.5767638786274 7.04982536430445 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.10666138136997 0.207000057000918 0.634851005540987 1.17761886724666 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.12022914815877 0.296227697299127 2.32236024124379 2.74707885671335 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.265481772500923 0.543517892186086 5.51484969428501 4.14520695853707 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.398318311908962 0.718191298552449 7.37104340931248 4.35939219103532 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.199283172771078 0.352844740364906 1.08794864737907 2.23003833789994 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.171219610797231 0.374211956997858 2.72693010860931 3.18923572631336 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.304922860383412 0.609115097429492 5.80253966320669 4.5472628380222 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.42955599485286 0.780863818429384 7.62373879522758 4.67491502603008 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.442751653192192 0.650416742034886 4.59773091085507 5.44486157674552 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.288509320147155 0.561279464943621 3.54155326168031 5.03871682261187 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.379307158367259 0.788357735302593 5.9664076404851 6.56260132713979 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.470634344787537 0.942259496280652 7.30323174891605 6.30044174732913 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.6743060248821 1.95858866340375 36.0652638079604 35.840518827885 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.995129848513176 1.38601012628102 19.1255615002087 17.5009131849159 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.07215569281883 1.44719229944522 20.3176334965357 15.8988177730283 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.13929124650466 1.49669390906403 19.1471484396985 13.1290914728168 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.10116846772093 4.08837192999239 144.064236050904 102.03818894156 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.40066282925436 2.71907395652212 50.5914343826636 38.9149133769793 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.96584243827489 2.61152540746762 32.4841523271981 33.893763482784 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.7328300930681 2.53578684898497 23.7219576406305 27.7210778151566 NURBSSource NURBSSource 29 293 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.043756747635906 0.046035727124751 0.470300524701953 1.14172778520489 NURBSSource NURBSSource 29 293 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.125339561373751 0.1561451633569 2.61442063094816 3.67190516524308 NURBSSource NURBSSource 29 293 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.34269508459701 0.405770791740613 4.98636827550477 6.88183314678325 NURBSSource NURBSSource 29 293 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.515986062861381 0.595955547348673 6.49974551384131 8.03069206361443 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0633536623153162 0.0575530735908791 0.508673625231858 1.15183756383811 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.137520462125715 0.162837557179457 2.63309992972235 3.67952973762761 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.352979378565442 0.411933128373166 5.00018125906197 6.88579683640498 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.525412578136666 0.600803001165879 6.52138848602228 8.02673006007835 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0927794493835429 0.0768179243482876 0.604147396048216 1.17149919146416 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.153169551930739 0.173867974629129 2.66961901432631 3.69513049791832 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.365867445910492 0.420572832847875 5.02951116859807 6.88920984275764 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.537028197701368 0.607771953003278 6.55715211851637 8.02527289818541 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.156693550742465 0.121124994590874 0.987266945209795 1.2418116295835 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.185737227045149 0.198902105361 2.78841254530234 3.75423970059439 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.39180338549312 0.440342578823105 5.11901946957442 6.91277800472496 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.560417534153843 0.623647949058863 6.65649194181024 8.03437820264352 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.38164361513181 0.321735264087236 2.03159536351836 2.28105896103687 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.309197773082636 0.312032565943961 3.54595577112374 4.50386993409508 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.4942790750909 0.541086693914524 6.00109676868923 7.49849109858995 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.647966190484658 0.691527903374259 7.38754589712644 8.06577951107356 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.612641071478155 0.542690774262019 4.53950489077658 4.07844496900441 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.423806875663053 0.418623450580648 4.47366471241269 5.32405866468155 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.558942581886926 0.645626979528533 6.02920683652276 8.35668296219112 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.694895492707386 0.7884724262886 7.21095065078991 8.76805028198494 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.132992848958653 0.105594259959271 1.16979751242101 1.32583814986567 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.170987422944849 0.186964221496922 2.68596640443525 3.73404413657473 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.376554245973035 0.427335492130569 4.99170692774694 6.84172108937394 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.543744247711089 0.611023805264418 6.48566437662609 7.96357676403719 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.220517420088729 0.181793716322311 1.0105965797705 1.62306332937482 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.223076652926781 0.227243811033178 2.92369958704216 3.9144030204673 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.413620660077503 0.45747680326018 5.10525020532942 6.8824987526782 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.574586804692384 0.634467273546318 6.60838835671525 7.94421521250819 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.40970408078474 0.344900845922352 2.34709615590668 2.44265972143098 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.326346700265764 0.309837733073577 3.61474029280361 4.35051267423583 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.496099268176641 0.514437120673058 5.68358483250622 7.08356556333825 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.644883701586442 0.660404994200864 7.14703649800602 7.8772554252402 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.3284709575658 1.20685534269637 21.2062109933209 13.217491238918 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.848368172147681 0.767377087642146 11.2636646323051 8.52282449743806 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.891054984777491 0.896589163530575 10.4085244241582 10.3858753399333 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.942278403050308 0.993757651402424 10.0273123950647 10.0255739142944 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.7511382753768 2.56881033138086 72.8841352297978 37.7933677129776 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.70777133214713 1.58410703599089 29.6185780240002 19.1347766534699 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.56037421506986 1.56378929325764 21.0259824750065 19.2942331719365 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.50843799799648 1.5691413247382 17.4844919075757 17.557366240727 NURBSSource NURBSSource 29 294 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0408111771346151 0.0440603898008686 0.121264023539915 0.346495025707242 NURBSSource NURBSSource 29 294 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.133307126289598 0.137198725325979 3.17118630815419 2.71315050481642 NURBSSource NURBSSource 29 294 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.391280337398351 0.363798062989445 7.22247996793152 5.40087631057049 NURBSSource NURBSSource 29 294 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.580002584319178 0.508902217182705 8.42183623566963 5.98603103205561 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0594832921130752 0.0562861682817895 0.13939597578078 0.354295610373686 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.142325925634761 0.144470052072987 3.09200877928154 2.71995353155672 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.388633947027118 0.375589000025555 6.68228847009597 5.56928862889789 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.573015695594999 0.524911081912505 7.92752486129912 6.24791807262264 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0885834873576923 0.0772524140899547 0.204144289988061 0.384621557119255 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.158591851232018 0.155498071334007 3.09369143014217 2.73000473754191 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.403182696359688 0.384239935597261 6.74753979673799 5.5574652237802 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.586824801743161 0.532189126377884 8.02221755018685 6.22889787277638 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.15335928044965 0.127271758780663 0.486535214671756 0.537002279537881 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.192620739931002 0.179886551012305 3.16239096966798 2.75739277092987 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.435128024761703 0.403443611327535 6.95206038909537 5.53792547197009 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.616756531328133 0.548425382313607 8.27936273144383 6.18682357969359 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.436621300038485 0.351228520342942 3.57982219195099 2.03221123060143 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.351193679854301 0.300139242191697 4.28321210568323 3.43901670747137 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.576785284892874 0.498045978717436 8.35672757838047 5.85720750976446 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.739562917353864 0.629241360728558 9.4009956921941 6.27314891336897 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.714819312354146 0.591023352590605 8.40247065721748 3.93086431473697 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.52581351269519 0.42514815213808 6.6137039838315 4.49302629479431 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.745203347678218 0.595096540656894 10.9938744937625 6.32108396092434 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.914292229566316 0.702660545536167 12.5165426300933 6.50366635852151 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.130837822034472 0.105260527553993 0.342372621101332 0.498142649707137 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.186136097872409 0.165233589226408 3.20230906405303 2.65358697511289 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.429219387568211 0.36651641443034 7.12264046233312 5.00720317063329 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.596240869481289 0.490880372236158 8.03620415944238 5.22576808085223 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.24480671400283 0.186756104792346 1.15429890962384 0.845712487068501 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.246023632526233 0.20563993127707 3.46163375401726 2.78378186736994 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.471674397384182 0.404503767851668 7.25343874679678 5.21336543991623 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.629850471878601 0.528397272008414 8.11114321914907 5.44454479114897 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.451314436642858 0.365795492393128 2.68296217870431 1.85765284165119 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.365020068252368 0.291437546639138 4.72066989722169 3.2291014359247 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.559665342887727 0.48261591596537 8.13827918683324 5.69527372917712 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.704161088550713 0.59754014220876 8.73287927857031 5.91563358399463 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.43991005043366 1.39237588746511 24.6237548531191 17.9271368631439 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.91631386606534 0.81948549792665 12.8724284578791 8.46659097516883 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.0380591160431 0.882047086727804 16.4647939016629 8.1301982089166 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.14915831214034 0.943287257039159 17.0328234908837 7.26690134733416 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.12097858671867 2.72200048309821 94.6433369448305 45.8052264441676 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.95322678510983 1.5498138611044 37.2708913374666 17.3691790676098 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.8745531856145 1.41733050640138 32.7427059355775 12.8476946815667 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.89336628115192 1.37648516640601 30.7472635544631 10.3441745931761 NURBSSource NURBSSource 29 295 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0497222687026685 0.0270347969763529 0.0458799368729201 0.0104566031357748 NURBSSource NURBSSource 29 295 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.105705338998355 0.109408110274871 1.60429359941603 1.68218277350478 NURBSSource NURBSSource 29 295 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.337362705538138 0.317231080569308 4.52348397782495 4.10650137176259 NURBSSource NURBSSource 29 295 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.513560280601722 0.472239595349204 5.90764328609219 4.86194567791834 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0699668057306238 0.0386586306685447 0.0618236634415712 0.0158289567867293 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.119081220807211 0.116471145137623 1.62413501390941 1.69956369632322 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.350045578406194 0.325215835198603 4.57735109727319 4.18933569865825 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.525532625338532 0.480895142532573 5.97811565791341 4.96664412075587 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.102811197938506 0.0595657812541189 0.104519050858193 0.0364291087761139 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.138524390024003 0.128203743913604 1.6603133924883 1.72631031507176 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.368336878167474 0.334745089078454 4.66213394293095 4.25634214697312 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.542471838779719 0.490735213633036 6.08144090797628 5.05962939831119 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.176709720889922 0.108819347799651 0.266293351820978 0.131405207228551 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.177557220031903 0.156673839206059 1.75474986073495 1.81231869145325 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.39315758169587 0.363405909063219 4.64085502815966 4.47682713036403 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.550752529011844 0.518625496869861 5.89151517254815 5.31757805470626 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.477488524311484 0.362481711403155 1.95641055087657 1.94692303182567 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.34884994428714 0.311926313192147 3.01704253517894 2.94023374203487 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.547696782449785 0.512066124677166 6.05245578773994 6.03853657286406 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.703711873660662 0.664031144669538 7.50080256841188 6.857027356083 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.763146722264318 0.596278022914388 5.56491133219497 3.96873710985734 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.506973627667194 0.43002487127236 4.6089890300984 4.18520095979379 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.657514581856986 0.631151493554836 6.98203646405672 7.42755071252463 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.78800118706746 0.766275072980375 8.04408098901228 7.94849432909785 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.151049784399195 0.0935041056234014 0.191283422639529 0.115494246486759 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.165202765442069 0.14331172060798 1.71854223940223 1.72763064962636 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.38762145122144 0.344492124517373 4.70922422066701 4.14502346957234 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.55797465416468 0.491336612175683 6.15366458170573 4.85394880534914 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.276252178626023 0.187214643220414 0.688655718852935 0.698588513836764 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.234553134523984 0.190689116727523 2.11368273822101 1.89972012057499 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.444384134469219 0.382473772423295 5.11689821870251 4.29223247884159 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.60910858786095 0.520895521933253 6.59162656105597 4.90415733831639 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.516973526236975 0.393065379191258 2.27910127623962 2.41551497107397 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.36211583185548 0.304737744210429 2.97799948674997 2.68077101129139 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.552317741920262 0.473042829163751 6.08024963065318 4.84036428668434 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.712451302065866 0.593140724520154 7.56383709872052 5.1603355186691 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.66759462776147 1.49559038666073 37.382276250594 23.0429131579378 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.06658568248239 0.930013375371084 14.8852387143491 11.1131731761075 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.13194261713357 0.912971842486241 14.13311424593 8.70433170639818 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.2217090242696 0.920939132556795 14.0074746134665 7.18847978960474 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.32754495015437 3.36839954796045 115.432379796367 83.794994416238 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.11891993750912 2.16152115985472 41.6850790267282 31.5606874051214 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.0416162062532 1.97434129835639 31.8580598828007 21.5381522531659 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 2.03315138330162 1.88918733163773 28.1160708407502 17.1926940948603 NURBSSource NURBSSource 29 296 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0560957777232871 0.0618233559462606 0.0795231735361008 0.673377647564717 NURBSSource NURBSSource 29 296 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0869281520433926 0.219955561624543 0.83826584342506 5.60145462032683 NURBSSource NURBSSource 29 296 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.217598414914685 0.553611525238002 2.44453316490354 11.7012991244493 NURBSSource NURBSSource 29 296 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.360188715950139 0.80181918192255 3.88700428094359 14.167955939384 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0797800249660982 0.0823510290508339 0.120671831357111 0.722425160299188 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.104042320032247 0.230896929250893 0.878930246187641 5.58352509528563 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.22986641520303 0.562711492531782 2.45462710400547 11.645941246242 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.371191863003603 0.809762891602668 3.89554251259147 14.133862864711 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.118869926020851 0.116683032588598 0.264317137996065 0.819024874585686 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.126697206677246 0.247603395538595 0.946532734998836 5.58674453602379 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.247347620974192 0.575943786222881 2.49678133336881 11.6100122498837 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.386166814492642 0.82037067098549 3.9337276433943 14.1064994392772 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.203212738865931 0.195403779502071 0.668360680949227 1.15521608616371 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.175002716568703 0.286166763697904 1.33578677861978 5.65747204595668 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.285229445497854 0.606823920918838 2.73366963383156 11.6245842100224 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.416401802713555 0.84730538191528 4.05428518181605 14.1608503622307 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.55954518952504 0.529682139415181 4.06195057137622 3.81869283654154 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.365927635742266 0.450338499607284 3.15987043881594 6.50983059361077 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.445466268645023 0.723329317427232 4.32232061293416 11.9220422358736 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.580500378792077 0.91830544636916 6.00078582596972 14.0530096133734 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.904644122639234 0.929271375787318 8.30705807036157 11.2820982677624 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.556713074434255 0.675378766429241 5.58825692752085 9.43376535223538 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.595968951468219 0.898275149499586 6.06707879138894 13.4803544446084 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.699873767549108 1.07570933311237 7.25794634119051 15.2804889946653 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.173207204730758 0.165864223335924 0.498560745488493 0.949098268308849 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.154459541731854 0.279312396064469 1.01792426118206 5.82268598036834 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.271395833543512 0.610943887061495 2.57260847584457 11.952895710238 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.404267045019072 0.853379867671732 4.02725099389468 14.3277797160608 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.321797734299368 0.302418296710933 1.75448841120456 1.78149862717024 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.22977130458431 0.353483740347807 1.43077375574754 6.33179158024844 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.329478506144019 0.681672207646005 2.87193405426548 12.4322480455505 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.454877754627153 0.918305022919236 4.32649326369576 14.688948632008 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.611932935592194 0.585727464919216 5.43070883764356 4.85736553533921 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.374790175715953 0.503091553609091 2.63093605144928 7.77252943630851 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.443464533627958 0.834605250754991 3.91462064045361 14.0262611589468 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.551733717072497 1.06080173214559 5.2566875347489 15.9998904523333 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.91158826951777 1.87906649897208 36.1452949277001 29.6865649929306 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.10625458024861 1.14394567001115 16.5856302545158 17.5957205688422 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.04077358466884 1.4248514692263 15.6931450380036 23.5040861904722 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.09223190893425 1.56008224326068 15.0241468657734 22.7092161610733 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.00515943847927 3.98322296274801 157.785114331872 97.5699634149753 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.42399359336898 2.31096400479429 61.0471989444811 37.6498327642404 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 2.04340344738983 2.36280672853695 37.9397152342373 34.4751532293332 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.94798619266709 2.37482038476027 30.9548202581726 28.6707555826077 NURBSSource NURBSSource 29 297 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0216508755852586 0.111777640049308 0.00438363476916349 1.3863607592728 NURBSSource NURBSSource 29 297 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.017255172837195 0.431378299625799 0.048192195752733 7.99094242747173 NURBSSource NURBSSource 29 297 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0367937958422136 0.884538798247502 0.0969449217131657 11.8638368990516 NURBSSource NURBSSource 29 297 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0611881381201517 1.17891824690086 0.141568167183965 11.7902942764816 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0319485433748582 0.138608025963562 0.013375108309507 1.412960417868 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0233172038121045 0.45137372761332 0.0642763859917571 8.05050957495153 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0412357436116108 0.902385939305478 0.10519246171996 11.953362130622 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.064117085142442 1.19943716809619 0.141115595900441 11.8941188989548 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0521729351805067 0.182803240089703 0.0556073223666615 1.5054631136335 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.03453903242145 0.480837609595326 0.119761804992694 8.17330500726293 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0497269160579443 0.929301288203913 0.138311622965602 12.0938057779069 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0703049202149158 1.22766125701091 0.148784121945594 12.0544594940023 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.10120922501571 0.280411959787573 0.265272512840043 1.84531439814427 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0636215808239693 0.540515235958253 0.319819353079958 8.55012231520703 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.071656613161527 0.98485287204323 0.200733056785941 12.576510544734 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0887859405459692 1.28371712666509 0.198923544091052 12.4910707263518 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.334837330278028 0.673498480536704 2.78276711464736 5.22113727034451 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.204791234936138 0.772223578148411 1.60157730027019 10.7256181212361 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.195555463333297 1.18199732537218 1.13900173255165 14.3971173131732 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.210611893824417 1.46653477812454 0.978478360880044 14.234471204723 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.646251360563687 1.19758886967354 8.7512584915437 23.3175081936021 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.389501273450828 1.11197140447142 4.23646236972913 16.5607928986806 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.380577697939235 1.49553297900737 3.29310381201902 18.9040881174388 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.378669462040038 1.7383448864601 2.42869837895521 17.6468255509835 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.080763652314913 0.241869300123874 0.189809449035448 1.76585862031658 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.050767088864786 0.517264635096436 0.142656983289885 8.30085364799987 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0603128358951936 0.960325273583121 0.141178939715482 12.2171369446507 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0802610924183402 1.2509944188794 0.185912093734766 12.096640127441 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.168810252571029 0.405267253406758 1.37501327324998 3.13581592888879 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.104116835511874 0.609801007335915 0.526899269827053 9.01345641550971 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.106222764051289 1.04194487014624 0.445409455876893 12.8784457650169 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.118981174553752 1.32828609971277 0.479061734040643 12.7226415608193 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.368555236234137 0.726191313084685 3.92883258040271 6.47267995816172 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.220735290288249 0.778098481267378 1.68564812287959 10.069749138451 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.206651594700278 1.17005038007312 1.21190193719171 13.6349907096584 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.20616980419234 1.42857070118598 1.07279107512734 13.0158074762833 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.96125047014589 1.90261658532009 60.6951895437029 30.308413597467 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.17770567606293 1.53951065290879 21.0026828477304 22.83322268911 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.982848362290686 1.85094654928348 12.2882657175327 24.1439576611809 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.842574214091778 2.0107261328123 8.39544067154586 19.8235184756506 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 4.15293681700012 4.09395093994929 155.912279564074 112.31869396673 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.42512069330641 3.02438639101244 50.4220350089181 62.8156280675229 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.95852179386439 3.03856253466517 31.4221729996281 45.891603301492 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.70327424036486 3.03620570879547 23.344355984284 34.9134603298729 NURBSSource NURBSSource 29 298 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0215061487775305 0.171158619052727 0.0152880687470246 3.37466659083148 NURBSSource NURBSSource 29 298 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0396317058626328 0.56458758009549 0.0739864905734531 10.8219325245597 NURBSSource NURBSSource 29 298 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0961195507934254 1.02720136842724 0.28893683477665 13.8949570656985 NURBSSource NURBSSource 29 298 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.164077750169823 1.33262979687785 0.570542291575195 13.8467790125602 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0366916539409529 0.218096772869876 0.0281810423186599 3.44803125022327 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0484540094247791 0.595584092676246 0.0854498781751183 10.8459223989419 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.101192850073108 1.05091489017872 0.293419035559164 13.9049896250015 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.166999083341804 1.35021191449456 0.567764863574073 13.7984015338715 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0654679184534219 0.280627041670892 0.107623948654064 3.74069139744217 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0639290050749946 0.63868612030515 0.155161102705989 11.0666602615915 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.109736654565185 1.08720015809915 0.311992629244541 14.1528421388591 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.172649356745102 1.37691549528952 0.575149345784469 13.9288680512323 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.135062065189986 0.406181541626037 0.570197972591558 4.46763702446455 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.105355460535654 0.720717040247983 0.537499261785807 11.592794620781 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.143214532320477 1.15170098106549 0.517381704113298 14.5232524466255 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.198525239640555 1.42532050924535 0.698983786918651 14.0373353216556 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.478940236534239 0.875765273171996 7.36912279324837 9.18098655765241 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.39417573342051 0.97461508683456 10.5622603567969 13.9802390216365 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.557631622199568 1.23890170707216 17.2799922305212 13.6400724099778 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.578361475496441 1.42568367079498 11.5689398322593 12.4122324038543 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.82714690446418 1.33001079991701 16.3757969588069 18.2488089945476 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.516756835220298 1.30402612640354 7.15085553353759 21.2924688071084 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.475390117492511 1.54822414393096 4.57646718903287 18.5364665397658 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.453691040624335 1.7076020195472 3.13704124899699 15.4176159786671 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.107050940872464 0.347726713438195 0.60485990595569 3.6242496504044 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0811443884404389 0.677226160366726 0.203984226693386 11.0862558195798 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.128376357996336 1.11654752678661 0.397991050973754 14.1991974722303 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.186090686352165 1.40829021062816 0.646904437359868 14.1404302404594 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.221847575967327 0.546191636586613 2.23499278472008 4.77997863547191 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.149504466922222 0.794525137935801 0.767379807626996 11.8347205945104 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.181214393257671 1.21230910292829 0.748185529220528 14.8421142129901 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.226346541080278 1.48982169026869 0.865894714486494 14.6362078056824 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.472279992625902 0.929295097425455 7.98464696563412 9.52837695977103 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.322202971269757 1.0205425787519 3.92204057647218 14.781808834648 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.347526919485926 1.38808132755745 3.22590215000163 16.8358917962468 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.370200687501599 1.62335008664045 2.54685776658819 15.7187111582374 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 2.50526887341516 2.81736063377212 98.924395009466 67.5557556638418 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.6471990789826 2.28650588837181 37.399275971955 36.2251992810923 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.4306212061667 2.3499163537143 26.977542712941 27.9165635524521 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.2999719841656 2.39239479503503 19.9806249721283 23.3778739906453 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 5.90607837429763 6.50070360295272 338.084389199226 244.190799796289 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 3.68506882882908 4.83850709871558 121.455232682133 102.411201522651 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 3.2332394477432 4.19444245037482 96.4025609789856 64.6584704742471 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 3.05645895161315 3.85197726371429 82.8209053121665 46.4891106586672 NURBSSource NURBSSource 29 299 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0455545628196954 0.0703012140319917 0.00637902100453933 0.0356845988132141 NURBSSource NURBSSource 29 299 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.030892927696576 0.148613251993658 0.14717855127592 2.59763470038087 NURBSSource NURBSSource 29 299 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0926560439434483 0.468802604796079 0.65710406783843 7.78190101426949 NURBSSource NURBSSource 29 299 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.148217014010007 0.710438694587028 0.90558094692302 9.56333297682989 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0631053943448722 0.0841660797259548 0.0287172390770075 0.0532773089960203 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0422990397717418 0.15748046972783 0.160005019384161 2.61124592374792 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.103366775073502 0.475558407776707 0.679508310400757 7.77278677221474 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.158866784236076 0.715846603680191 0.93634285386964 9.55767693890389 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0925338538131645 0.109078365279715 0.0959231326092441 0.116842668565483 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0590764614747509 0.171326560548019 0.19868556531352 2.6402997429366 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.117761082492108 0.485914867983432 0.724844312940334 7.77962832725211 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.172457174697881 0.724314440241747 0.984102837137104 9.55679477206599 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.160577599611734 0.171077114380645 0.370491286595938 0.41055337393847 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0960717753261343 0.204940276481353 0.351947711789603 2.81473912781316 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.147444238358615 0.509395675459032 0.851231121899006 7.82932888554656 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.200259731466217 0.744240881983203 1.11098352686404 9.57570736907802 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.449294696588231 0.451514231312093 1.9266300192393 1.98153396947834 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.242705674011054 0.344199835038854 1.56869232104801 3.68705395225848 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.258573180421957 0.623620737214691 1.52055575761224 8.45959484454029 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.305288775438886 0.852204800849335 1.85015449557405 10.205565632198 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.748003224760906 0.744871484837165 5.00202410033274 4.16435752316477 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.392443840155126 0.49157653928949 3.16109095893833 5.25528284402919 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.373171539145744 0.728685636057895 2.53869835831118 9.17365952718174 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.408760583165164 0.952051110353678 2.74920074471298 10.7789932139084 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.135234890627265 0.143452051151846 0.171805653693225 0.187554078202247 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0811029725569429 0.187569897748417 0.276474256854181 2.68553270169989 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.128132171443274 0.499862422720186 0.743423086386711 7.85016963083599 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.181852987144763 0.734962808973403 0.993356097800372 9.60308998590644 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.251807173898205 0.24996966595616 0.623038763405206 0.548293145257058 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.155234563055039 0.235329325560368 1.3658756959711 2.77344580926618 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.186353967741614 0.523398688826064 1.26050728782474 7.67560156901561 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.230169674339892 0.740440388230088 1.29929510199014 9.25297683154852 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.493980988052476 0.486155859102186 2.42327876081075 2.28119691049721 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.275455091466986 0.349186802529875 2.24147957605093 3.79691041228072 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.279056237407866 0.61565263361905 1.87984847802785 8.39544666288425 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.311033237355765 0.822543083370704 1.84999182813031 9.7690351223442 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.56000689571442 1.52568281580732 19.7108088082484 12.1848868090194 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.801535657766624 0.822194027479414 10.3169376300096 9.69570098636411 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.691479011880205 0.928921126951755 7.58610374214693 10.7034984258057 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.695440804201984 1.09752608160472 6.60333148842484 11.4016473509458 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.13174615182424 3.13991483728449 73.5131578324851 60.6524008630252 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.65432881666944 1.74745176899503 30.0616467197291 22.7430070893279 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.48089861391659 1.69176604637552 29.511507336808 19.0441841654749 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.51448790127063 1.77170183072237 28.4976977445734 17.1353642594298 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.180211245085934 0.180177134455944 0.0854792446438234 0.194553898099325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.433309987099011 0.432614869699507 0.299949827532321 0.988499280379394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.693132823594329 0.69193046776939 0.65169816532232 2.31633226110492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.816527082665394 0.815498454751858 0.958210388334193 3.01027301450263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.18022725988502 0.180196124538419 0.0854943258684934 0.19459009843873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.43334065422527 0.432630653835272 0.299962336360515 0.988557828543488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.693141263133027 0.69193754807261 0.651753297170673 2.31635690600441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.816734177628473 0.81558834882639 0.958362748490282 3.01066305026247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.180388910353056 0.180269660947836 0.0855197869197082 0.194690314775081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.433471625234882 0.432691153836993 0.299911688050497 0.988751489410391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.693267045158751 0.691902998402072 0.651894753352327 2.31612252217996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.816932565543768 0.815583544732154 0.958615398241324 3.01037169918061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.18053776068104 0.184442794140176 0.0856303223171985 0.211389043444848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.433874793977575 0.435168510956959 0.299970830503487 0.992813013688835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.6944952649491 0.692581588311641 0.652295258320626 2.31636112676989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.818582176656336 0.814779039700211 0.960640730266716 3.00362404598484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.185222022195318 0.188667170554049 0.0940970912420803 0.21920391722442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.434024125395314 0.438169214151065 0.299571085320726 1.00654550656044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.691756854747616 0.69403688707183 0.647497518868919 2.32831428616661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.816322955843122 0.814367647408098 0.958584772321538 3.00759697127813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.196695390055661 0.198404673702333 0.11836132129183 0.237655077237305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.438119903347637 0.442586665952436 0.3027963585515 1.01932618231819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.69038177920802 0.694172678824747 0.64497998323068 2.3235014685682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.815808738659257 0.811407777121873 0.959251101327536 2.98935976699625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.180422546326818 0.180533698698604 0.0854006625541353 0.195009657475228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.433441579873833 0.43277811100599 0.299876701785522 0.989015017843231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.693210829544206 0.692105066375057 0.651925938850805 2.31719201977972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.816515565608181 0.815715272009263 0.958350960028267 3.01199201422555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.190355882610926 0.183023793501014 0.130709212145999 0.200181106694953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.437243872900662 0.4359096418397 0.31080703953304 1.00029649665374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.691716529823152 0.694066171751931 0.656265622032951 2.32737283131772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.814240832516114 0.81726700012018 0.961729722186421 3.02354618933447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.19458411413138 0.192374946115917 0.133916455262728 0.228350522881448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.440594766701641 0.437170746051736 0.312379277394276 0.998072168865379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.694980778036772 0.692613230280234 0.657317733222162 2.31769899853194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.815714873392783 0.815319851208346 0.960317387608595 3.0119560514084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.25546206891487 0.243610783762855 0.307464330613921 0.37206952484531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.468130717558584 0.45699933083422 0.362141930476008 1.04666150923025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.699671914895996 0.695118604064909 0.682486786858548 2.29401625852168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.817919019458189 0.814840951243832 0.98205010714349 2.98014444052224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.329849232894321 0.334034126213357 0.536411468023122 0.681253451582503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.50519510056507 0.492638412689641 0.440936316186143 1.12110757676625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.715167858624613 0.698647721235041 0.73684193784335 2.24567776916731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.823186222170519 0.806052947690536 1.00979875226653 2.87926385806071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.573725360026851 0.573994227287677 0.957829630793626 1.79002157392278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax CSMEstimator(RangeKEdge 4) 1.11722908708547 1.11762569013072 2.0265738833098 6.20103835292066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax CSMEstimator(RangeKEdge 6) 1.57511606554127 1.57409142356404 2.59510724699996 11.7088238498799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax CSMEstimator(RangeKEdge 8) 1.65299935592459 1.65255051149052 3.43250441474791 13.0136700436987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.574001401426618 0.577978678287186 0.957761615137193 1.8097881455838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 1.11788127756016 1.11834613184727 2.02864129974196 6.19853061847304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 1.57591693384515 1.57241648422788 2.59673529483912 11.6832603865928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.6540905265106 1.65135595772528 3.43555187995212 12.9930442785245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.574099212047069 0.578158301665754 0.958187148352704 1.81106405012716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 1.11793032620566 1.11833456863122 2.02863208911856 6.19880911976131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 1.57605059307105 1.57245172368185 2.59760335955536 11.6838075017393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.65421545243401 1.65152850798708 3.436673860846 12.995632866219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.57459883532543 0.578225455063384 0.95997730292303 1.81101308459569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 1.11817966638834 1.11843119405128 2.02879884046863 6.19937085751374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 1.5764613958065 1.57244719483561 2.60012619003099 11.684565871888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.65461340679919 1.65147755621326 3.43879468290207 12.9940408527537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.599206118152217 0.606534271625982 1.10223698287329 2.00454420999781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.12718953186488 1.13166239860479 2.06639681612574 6.30739233008796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.56489128876762 1.56963402977754 2.62180697849362 11.6453982772342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.65002304089804 1.65230869450399 3.45450567718123 12.9825486559576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.625289347459356 0.625714858801165 1.25822496268437 2.09683960249762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.1356814922815 1.13446749570179 2.09412155322582 6.30269004611651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.56277436766973 1.55959862077891 2.62266306243902 11.5194273673991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.65065679195288 1.64483890490099 3.459237627785 12.8536991196533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.577414873041168 0.577021470951746 0.975446324563061 1.80342815324545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 1.12073841270505 1.11777895521774 2.02965236893002 6.19694169534848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 1.57646919301051 1.57076076970032 2.5958678485952 11.6634493116604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.65423853375478 1.65029444877877 3.4320252685366 12.9729456114793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.578579036567591 0.580874621205581 0.979934960063373 1.83390132218155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 1.12159201078225 1.12117091804626 2.03483828982641 6.23165141901618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 1.5740202632042 1.57273199955136 2.60061371717865 11.6888882118246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.65309311093066 1.65193073031281 3.43740717157716 12.995241269832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.593597961901103 0.593255112837821 1.06502790968376 1.92644591959245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 1.12148640640703 1.13010347406085 2.05222895917066 6.32189268283765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 1.56151556735763 1.57716170236677 2.60807371275139 11.7464342805688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.64559304001287 1.65543658021324 3.44897766274321 13.0483016364946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.66850779519564 0.684965041765862 1.46788842706611 2.49623767822188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.14671657464244 1.15660847592043 2.13844730587116 6.5027314172144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 1.54479755956526 1.5563069163843 2.64444111305217 11.4417636100873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.64151951309161 1.64809848877155 3.48942439391858 12.850912237217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.782701542660606 0.791348086995677 1.99271252924316 3.09201172667889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.19618452763409 1.19755768751324 2.26867479416657 6.75990321539213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.53600916904108 1.53347983776629 2.73093879078269 11.08319822692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.64426191954789 1.63791729211822 3.56215249761787 12.5696555393719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.128055827349967 0.127784988087585 0.0923406897958417 0.0987057090841399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.265376196708056 0.26412652485131 0.309364919810799 0.370488366509984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.356876680822694 0.355738218536768 0.462752673815948 0.697807421253974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.385429720497876 0.385306198544895 0.499277114605274 1.01888477280624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.12804764498437 0.127842049101053 0.0923343104614221 0.0987216514162148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.265383208918508 0.264131725059918 0.309353754191867 0.370511791889056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.356880888839562 0.355747644557898 0.462725454638705 0.697835002547123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.385479450578647 0.385326636483911 0.499218046466756 1.01904416266904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.137518070257242 0.129136136504857 0.135767402215599 0.100019981035919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.269932048653366 0.266914006837118 0.32043275903476 0.375201896918819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.358160191237066 0.35700181159617 0.463379967532196 0.702517673843787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.384693645259909 0.388227973155356 0.495415779564148 1.02840940608896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.137939972598129 0.129605893205317 0.135801112154435 0.100193423656546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.269680819757967 0.267029112225797 0.319748172487401 0.375402888692845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.358197690756619 0.357074606944582 0.463336888159902 0.702777169847141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.385049943376528 0.388499092983129 0.49575292435389 1.02940790204063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.16187684198258 0.149725967491358 0.221230118431266 0.141268564642473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.278323560586034 0.284452182418056 0.339346202588956 0.418570644811522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.363723089383684 0.369380202491879 0.473735788863342 0.742917673943051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.389150968403477 0.401951104620453 0.499559678054333 1.07300434670932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.178460460986134 0.151762279552079 0.290327685244184 0.132711656254316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.28960951458067 0.278845714319519 0.363737309945752 0.403894773095285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.372762276530129 0.367223269077255 0.489352326360391 0.736242707250428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.394500202424517 0.401293248580773 0.507746570934544 1.06816015674554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.128565308048466 0.128182530578138 0.092637268365807 0.0988521567638548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.265362797549059 0.264089671857776 0.309191653332346 0.370321306932958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.356907334700504 0.35590411819822 0.462882574108069 0.698570689884419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.385603478865746 0.385531262989865 0.499333396983277 1.01964080277563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.139110545717413 0.138599205528412 0.136519493773401 0.136436502183606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.270171036569173 0.266345161225899 0.321978166099755 0.373187101091001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.36065883152332 0.357935242496038 0.47723782090116 0.709784768080328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.388336020662445 0.388530857868454 0.508320830372277 1.03435202087058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.159095554403261 0.159332980170611 0.214022216286599 0.212049589340935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.291060266715482 0.273266387921545 0.364572758928683 0.382697880173009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.377723722056758 0.3617568427543 0.50272351158247 0.71525227223441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.402274404100686 0.389860653127399 0.524681675492716 1.03355990153083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.217509535832601 0.196405935637556 0.385742241326431 0.275266407296596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.315353723456291 0.291628523320403 0.41293474725308 0.420278688010295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.39111904870957 0.377418533004127 0.511291222315222 0.75225282621557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.408611206166797 0.408025823122589 0.51626076093465 1.0802076833215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.307700047050011 0.279996797760375 0.674701573702408 0.492917215550689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.359549120305187 0.332537603641927 0.503675190973806 0.492452981209505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.408344138888216 0.394046886581166 0.535373698614499 0.779877052069224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.425260522517261 0.423928995540348 0.520087811091296 1.10019623659277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.144680982180577 0.144840510668739 0.110483882153024 0.161393286388713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.292639417284748 0.292353875190398 0.371505081995739 0.616080289399514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.427260124932055 0.426930683140442 0.563453661605738 1.13745755181541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.53642842344075 0.536145791232284 0.708380105119883 1.67914541290493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.144708012609781 0.144828733042113 0.110483635870306 0.161353108150387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.292670364625822 0.292373884289943 0.371536739153352 0.616106251052751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.427271144883409 0.426965119981002 0.563428302770962 1.13759972775506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.536484215997391 0.536090697020828 0.708356141700626 1.67884363218178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.144788724126983 0.14494406322042 0.110512351765392 0.161410608918613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.292696621867747 0.292424134162464 0.371552765418797 0.61614887958467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.42727528105936 0.426953921084673 0.563388498457059 1.13761134772958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.53653370898447 0.536194866579674 0.708427794124614 1.67933571109689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.145352911413803 0.145088531370512 0.111625738386378 0.161572465424861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.292834833087118 0.292604883804595 0.371665158909608 0.616844672738691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.427322248431082 0.427031437005923 0.563458256495789 1.13829946342705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.53629167457446 0.536578794120707 0.708321920011781 1.6817350850557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.157125054226466 0.148128673157372 0.16105603201004 0.163990950936384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.300115485368377 0.293552069182221 0.386866250987239 0.618916892146641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.433252508923574 0.427569614849927 0.574444015164995 1.14131917635431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.542445048874562 0.537836666612441 0.716880279974747 1.68768146351575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.176864120272735 0.157563289295486 0.220862889786779 0.179810729231381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.316171347145542 0.298103861782402 0.412756772412671 0.629507141591304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.444209331482744 0.43052159110368 0.586628780857585 1.15486317243017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.559231757160634 0.536019576225278 0.738498473966228 1.68137934317867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.152880779789077 0.146078252409264 0.154355275297404 0.164320197283852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.301896022143919 0.292308240588927 0.39268663107209 0.615084355978946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.435339402758147 0.426677582067887 0.567975769915071 1.1354443985857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.558726383362857 0.536212795676069 0.726126479623336 1.67828914564297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.153909883003749 0.155683843324668 0.154609554862846 0.203009109182742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.30249461072889 0.2997864679169 0.392400549303656 0.626147596052028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.435453661427226 0.430993833556225 0.566795096618098 1.13982445536321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.558442266328856 0.538711047041686 0.725288034237029 1.68254631689175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.165128442477604 0.15102836286886 0.188511767341737 0.16864360356628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.308154924634238 0.296872377042098 0.402726423029511 0.625945797284394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.437889114722137 0.431300038077633 0.574542472987073 1.15067074376482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.559819409784982 0.544556587102217 0.730028775815206 1.7206830576638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.217127696799823 0.211900105649316 0.29313144885653 0.334915326735528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.342957179842657 0.326828188288272 0.436586948411581 0.676981923685659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.458302171283725 0.448048785060337 0.586851218038402 1.18746798891555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.585206835060667 0.55647834375291 0.748905293333885 1.75839186001487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.344793086021254 0.315859871419019 0.736812911045254 0.663857328382941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.412848185090496 0.387859609786443 0.572249013307044 0.814642735428778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.501278234739487 0.476590076524922 0.654644938698587 1.26980600814238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.622772658740676 0.568416524934022 0.799113214530132 1.79343508673568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.217583728276296 0.216692887367362 0.0940393990045981 0.225740897529811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.5359061992895 0.534137926920362 0.392454248313125 1.29834321181254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.925113476123467 0.922781179268317 0.866429380529182 3.52851534897652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax CSMEstimator(RangeKEdge 8) 1.15694100386896 1.15345613890269 1.4369095417374 5.37448503052225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.217617038885886 0.216698422389725 0.0940459295756349 0.225623916793151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.535917143961131 0.534184952523052 0.392473116811859 1.29848768863248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.925078365337182 0.922775990863226 0.866368632334742 3.52857572000334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.15700630935422 1.15345517395203 1.43707169055338 5.37460181887673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.217716526989771 0.216687963241295 0.0940572316169012 0.225323974231312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.536008501755891 0.534161056162996 0.392622791605636 1.29833937739269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.925093455392514 0.922773129217481 0.86648611224845 3.52855432699306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.15697551937 1.15344712531378 1.4370441709136 5.3747829784626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.219136476672929 0.220044631904342 0.096966817784397 0.238148518645104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.536231676173753 0.537355075355815 0.394828855742421 1.3128833505381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.923597966392013 0.924428492722575 0.867325652731381 3.54118106122729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.15471605850471 1.15423742004606 1.43610962478219 5.38503003518858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.222709457467083 0.222454203375649 0.103485440989829 0.241835746406765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.536280206429639 0.537450589309986 0.395510906345287 1.31298722282786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.922692161993002 0.924014268386536 0.868631362174705 3.53853961675938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.15409971720817 1.15352110296881 1.43927994173072 5.37940129427014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.229394285936338 0.229790208361259 0.111810306426659 0.256856595459662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.53774739043059 0.542167411028986 0.398487975150746 1.33447570367778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.922655060177974 0.928018699767593 0.871160424795235 3.56985436191827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.15327349345276 1.15473330053088 1.44517695554344 5.39139746409014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.21831184744569 0.216803114761056 0.0960553355905568 0.22569446682563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.536055964860896 0.534207547441502 0.392926525469635 1.29855810935806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.924922423447891 0.92281074562988 0.866342060222519 3.52881759320314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 1.15690724677184 1.1534849274933 1.43705617634287 5.37500093845947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.219543504857156 0.227929577113072 0.0947923845555252 0.276019101648479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.538663991334848 0.535843987646688 0.394793725957066 1.29513612904607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.927180432288896 0.918571460884178 0.868823522792714 3.49169136496184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 1.15796928079406 1.15013938780223 1.43558695165092 5.32880040347806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.222519892339738 0.236766468852088 0.096350712494981 0.307687079018457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.540658984640519 0.539274150500358 0.397029266467795 1.30081424495224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.929249915868449 0.917596961133436 0.872260193361626 3.48135709870709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 1.15924494582991 1.14924744793996 1.43828982197704 5.30810121038843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.26202607124677 0.29692565578192 0.143923539744202 0.512216594788926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.565979661727644 0.562250921998466 0.42364060762417 1.36766992792851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.941061137304207 0.915250606323219 0.887342400620689 3.43950544999992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 1.16518025662725 1.13490953455875 1.45565149343749 5.13858686273441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.37429720590415 0.386366675766191 0.587893477785459 0.787010976970752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.60365966678376 0.609452028047723 0.532667503193497 1.55474631721655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.931400213361451 0.933404528027544 0.944107476197432 3.54748166724605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.14682085713597 1.13689949348305 1.51887498263204 5.11837747218038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.242991435030638 0.242101606634055 0.295599357279556 0.305837935017061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.456251677722835 0.456278004287249 0.881658434693585 1.07308710199781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.463772504597124 0.464521565866873 0.997149267105826 1.76708338566749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.721048707457898 0.722575401580576 1.51661100319088 3.53110401086064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.243036871598981 0.24209439549149 0.29570742867153 0.305711098342725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.456191146763864 0.456290047310585 0.881700004359469 1.07304679845331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.46381319349226 0.464560710374781 0.997237698045895 1.767260004583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.721055074160573 0.722613782115987 1.51688874895513 3.53120141870708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.24315078834596 0.242172648273873 0.295860632711875 0.305673019109176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.456208577880635 0.456295306370108 0.881804884636452 1.07303745892474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.46386078639108 0.464574742233411 0.997307946850014 1.76741229339917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.721065845077208 0.722672471094861 1.51679057756846 3.53146318432194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.249946875754715 0.245635108756523 0.329140126255603 0.311160553417187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.457521167120626 0.456798845079959 0.89248435428984 1.0726231156641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.468279194431421 0.466056853983783 1.00876826567301 1.76745378943036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.725239934154347 0.720920358733463 1.52897971290314 3.51210166767561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.253949413681121 0.261790463537545 0.332185667237032 0.353925192979988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.456914955577138 0.461184283756327 0.892652936165435 1.07813552901878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.47232149035795 0.468107900777791 1.01898491568848 1.76201126137838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.729238047963568 0.718847880098294 1.53948416155708 3.48669043293739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.269326946166075 0.277816762914131 0.386075569328169 0.398182694423012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.464149961081416 0.469854843393657 0.920095824932082 1.11545937149841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.480865773472741 0.475290465658157 1.04858528402098 1.79508814658753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.732129172240153 0.723298347442758 1.56346156236792 3.49721814949112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.248245025600595 0.245467720147722 0.32041498042646 0.312628053421007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.457792400923687 0.456878283004715 0.894709752318754 1.07387847635779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.466787883401564 0.465959883187986 1.00852361268029 1.76876799635708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.723661330716374 0.721522848959275 1.52654263338065 3.51785931602473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.249848796022694 0.246195790531785 0.322072143082933 0.312311079273157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.45757953480108 0.456674389391531 0.893768581455986 1.07460047597605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.466464773555668 0.466323584208342 1.00733579582899 1.77134769182099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.723165667863074 0.722101112967415 1.52532274303509 3.52372695246684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.260745647934261 0.257618426436729 0.365289658215292 0.339039159208657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.462419428412699 0.46034943577412 0.917037746768718 1.08426309032684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.476327416277021 0.471040787349938 1.03354407796303 1.78288504855503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.728287972641165 0.722986667376443 1.54814041233021 3.51409905978762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.325645566072294 0.334174186226361 0.586875688315287 0.606265744215869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.490426755061298 0.487972207372588 0.992375163247616 1.14522457162412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.505143516902854 0.497294794410953 1.07600607905204 1.81800943334713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.743110184102975 0.728236399570069 1.58412175435993 3.46842109778803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.392088165147017 0.429469371940006 0.780291094356816 0.855916095035165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.515506731221713 0.522141717610315 1.06078397518398 1.2586662121915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.536608759133858 0.52222652530155 1.13512522832419 1.87570573023343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.749452071078716 0.733381915762216 1.63103305354661 3.42887238175879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.168953445613351 0.168914104751964 0.0556148664877866 0.148551396254968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.445812300541881 0.445076679157938 0.276029415760255 0.98256993710561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.767931968542029 0.766551840460846 0.760040022416304 2.66603763107727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.939012727967775 0.936908184356823 1.16219580625261 3.62471863418868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.16896665842911 0.168942672206365 0.0556313738693058 0.148574563942744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.44581996385275 0.445092281367497 0.276031854553091 0.982629840845466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.767916808375728 0.766548621097096 0.759865861013781 2.66595064001773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.938998390899412 0.936992361501593 1.16210756024202 3.6251464792267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.169028040032634 0.169000323260421 0.0556509755407281 0.148615429741921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.445903382373145 0.445060343724047 0.276063897553439 0.982511445941038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.768027520371716 0.76647093282827 0.759700489760536 2.66555801834083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.939121638544899 0.936895478008389 1.16200952240726 3.62462825697615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.169287610714665 0.169272678253903 0.0557575013402178 0.148865330536447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.445924404950403 0.445051949765319 0.276084524245483 0.982495965186724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.768021563811341 0.766305695201726 0.759569847136473 2.66463088605524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.939042967985152 0.93668462891319 1.16173021896278 3.6231696582146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.177446176010748 0.178051137547198 0.0728303417433485 0.171230121353635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.450910449584444 0.449218582464739 0.286024912831271 1.00056374380581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.7689311797375 0.767597462490164 0.762338661739461 2.67442190577073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.935791794501354 0.934518801453609 1.15233664953803 3.61944130994987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.183760472376594 0.183346768408177 0.0777953776262768 0.177245458940856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.452938889744169 0.451435688741518 0.288022347462353 1.0078388197584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.770192478657195 0.769221985384404 0.762856761266811 2.67862591355936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.936698756792555 0.933668811248838 1.15332996833143 3.60781591561863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.1696878750482 0.175592196534805 0.0561282619799966 0.175834361405752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.447576956594792 0.446393211341387 0.279499249842991 0.980880601150883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.76836986723653 0.76732920587927 0.761195132787776 2.65616349390421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.938566678640275 0.937144887640857 1.15999096143923 3.61213340722056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.170446955953205 0.176816441907729 0.0564094265961787 0.178313104120502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.448131730885034 0.447310391979334 0.280139927221216 0.982570654006978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.768761464348915 0.767589546313531 0.762817135512839 2.65564889330204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.938348620108565 0.936814141241709 1.16068627336782 3.60970214008416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.172883261824556 0.179377707755847 0.0574602578854791 0.180941004984249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.448695180433887 0.44791657550099 0.28046890212583 0.984699568837516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.768862722092309 0.767474041549931 0.763767188875569 2.65310228503225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.937745855635861 0.936263653939703 1.15997829525895 3.60587379298179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.224626117994642 0.214149147513586 0.186580928509096 0.248932295838843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.466491595396076 0.468985157175577 0.318425567915954 1.06856983679577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.767217732280176 0.774568090700509 0.780302309831306 2.70521340496402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.931281084434778 0.931661788045543 1.17409623570653 3.60044469723714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.284535001722058 0.266590539771339 0.329787588793912 0.361535317805942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.490598142381058 0.48684902053068 0.361467472365394 1.11671930214327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.769951342439862 0.772437295201077 0.812393466402877 2.66715981734738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.924170828765906 0.918585233738086 1.18011440415323 3.50589394397089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.436711524215326 0.438590423445427 1.01045281467053 1.30429030518352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.786114697380702 0.7867701811724 2.18924354443786 3.41999854773727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.831660808785343 0.831402863530273 2.14139904236136 4.29408982415186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.928112352293769 0.927704732649613 2.05048596945134 5.18501326991956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.43660800915239 0.438800290234542 1.01024708431285 1.30545232684306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.786188786817535 0.786823870605345 2.18949532791569 3.42047923173326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.831628761807477 0.831399656789132 2.14104447609439 4.29402867201039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.928029681512711 0.927707328035556 2.05040403148585 5.18516382110392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.436560804830657 0.438944707286885 1.01046537561992 1.30656151864105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.786426936183131 0.78693193102961 2.19009918289183 3.42111163654907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.831744603260788 0.831586383318014 2.14079100862804 4.29524859070155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.928038825300648 0.927853597203489 2.05018016513842 5.18615184280933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.438778445336681 0.447847504694524 1.01831587258878 1.38579638311335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.787605267802129 0.792400938581186 2.19237448116986 3.46776299147848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.833072119608922 0.835796284247464 2.14429691502383 4.32765569995195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.926161519958987 0.929792874322598 2.05123878083543 5.20700559306031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.448214745388973 0.45508896223096 1.06075364687789 1.43363864762927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.790489626697578 0.794035642145865 2.19854765511263 3.4976877454169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.834567613510177 0.837538388711982 2.14120920175212 4.35024307111807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.924848946573389 0.932512338819636 2.04579078580332 5.24248239756839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.464349111254139 0.472684607874711 1.12426378285611 1.50427668774802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.795746843450418 0.800881158423965 2.21221561453337 3.52225854592627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.83917322222886 0.840271427732729 2.14627523656586 4.35654231609929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.929288450258408 0.932272899422971 2.05022329188403 5.23217776571429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.439893026503369 0.441536097687703 1.02048825468751 1.31550377063208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.786985077663288 0.787675216913217 2.18860556450141 3.42931125454956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.832294710158299 0.831476428472258 2.14155475233863 4.29655840199345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.92951252471445 0.927464382338369 2.05229066461345 5.18428243576236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.442591838743227 0.445609752612514 1.03177890899898 1.34143054375871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.787562123526151 0.790634707690277 2.18603638590853 3.45008155120802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.832786179669306 0.832179441069987 2.13951554729355 4.29643725308033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.928172410976124 0.92774144139256 2.04538608082711 5.18572430233469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.45142822544945 0.453244513694847 1.07414425867356 1.36924286793429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.790195035221911 0.796932039313778 2.19497778776895 3.49039862691455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.834524333480644 0.836812671946357 2.14354571798187 4.31890442749499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.929033012935418 0.929487650577771 2.04873871342173 5.19580017659261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.503567012373956 0.503156536437004 1.29427645548374 1.62381532069638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.812099469752782 0.808088073084549 2.24441270843328 3.58218444350747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.84939411407628 0.843155846756083 2.14360172490901 4.37638300483863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.940156093690084 0.933335520516231 2.05657310169815 5.25709183672442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.575591451027039 0.571919368743774 1.62561332360085 1.95678798302896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.834937519046205 0.843941934943017 2.2993432909956 3.83393956252722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.861833328447714 0.867545142976557 2.14835788161947 4.5740566295261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.937947222145262 0.95047371209667 2.05498739491445 5.43878829345075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.132805943691843 0.133855986201799 0.0616564401480759 0.124934814996435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.370399181078475 0.373158840511771 0.27838020871894 0.821788849938412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.646512682127982 0.650722284183015 0.726655651055094 2.35915342286551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.766721681848365 0.77063000857836 0.995319089578879 2.89627188406492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.136607978238173 0.136800725886765 0.0716683460268598 0.135266109338411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.371972746672066 0.376184427836604 0.281003610343998 0.838426651817505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.647869652234874 0.651277274980398 0.730796254648873 2.3627635499789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.76783573902001 0.770500170789297 1.00046152601135 2.89673858457724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.139577203069159 0.140926412358901 0.0789711840563047 0.145452366564477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.375042533876863 0.377682335722658 0.288889072424622 0.840381622916582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.64854010797009 0.652785378133932 0.732199740749769 2.36158041577079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.767873181284234 0.77197870211084 0.999895061534395 2.89477218211106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.140638084005505 0.141623154506041 0.0798765345978621 0.145676195685333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.375581302959714 0.377923167339562 0.289969247766332 0.840555014143195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.648865586061274 0.652991089388321 0.733106698512146 2.36200425520356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.768068896358628 0.772035995174245 1.00051117574295 2.89477239987032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.150658646410599 0.150286093893312 0.0918360314379111 0.154605932690679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.378217968713163 0.380430312467976 0.294296445224429 0.847399653945377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.64925702703003 0.653583452727045 0.735377176760999 2.36146770818864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.767504604663073 0.771423471598828 0.999054985184839 2.88981117547615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.16128450334727 0.161093784895575 0.109584901867451 0.174214661288776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.37974758207027 0.384509820312882 0.299575533334014 0.858196044436819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.648573345575629 0.656995629681054 0.73824309656593 2.37258761899784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.769169024494237 0.771420489943573 1.00694081546549 2.88610571051172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.133511709636471 0.134392962655556 0.0617433675880216 0.124956568722854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.370390944995088 0.373185396693224 0.278645176080923 0.821444255021761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.646243392632666 0.650607626657172 0.725907880377531 2.35846535724957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.766490277940347 0.77078824496305 0.994457690810417 2.89652035754699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.135172563845187 0.136164174719098 0.0620687815727056 0.1262619344751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.370676651102315 0.373216961108142 0.279143283506965 0.821090797469691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.646431876471571 0.650612422038327 0.72658447906591 2.35748399045634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.76661021754076 0.770739178277921 0.995078457198167 2.89493404778357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.14135207526403 0.142718117584048 0.0641666524420596 0.132002851767368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.373067137911307 0.374276616178729 0.282526815007879 0.82183576381483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.647640831342359 0.651093458636905 0.729815945016508 2.35274519081827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.766657443098581 0.771850530412023 0.994522859764043 2.89256090392752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.201195492477692 0.190842356067391 0.198395071274403 0.212901129200396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.388710409981615 0.396817965063269 0.316340149621373 0.902619831971267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.654285078592597 0.661703732592674 0.757054358782117 2.38020959820072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.771043785032955 0.773552076488996 1.02033872712753 2.88864502907052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.277235422503386 0.268942760496562 0.360237528263029 0.38561260324594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.417588087695138 0.441335357342052 0.363363713707793 1.02233370251902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.662518667752278 0.678576117092172 0.785685060828173 2.39854757861928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.777998524423899 0.773229981169642 1.05722173810956 2.84836418988699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.104211500924316 0.104416065655049 0.0195019826412684 0.055864424277914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.316401216659223 0.316840282820288 0.119555530838354 0.467933269391323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.553251839535157 0.553873919025334 0.359877593031786 1.28367008159511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.665304453439183 0.665907748520708 0.527606894101066 1.71632923559268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.104173787169012 0.104399967114273 0.0194884009389551 0.0558387220982335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.31630533065042 0.316821111704521 0.119474248470116 0.467932226416336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.553134806988748 0.553848926417558 0.359803378663586 1.28387574268314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.665188083828977 0.665850069585718 0.527466732090917 1.71629616317487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.107682339914637 0.104764701855796 0.0328069106342889 0.0564769109498095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.318183786454175 0.317162909710088 0.123703439250123 0.469283898204563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.553124882002063 0.553911155385718 0.361976875379783 1.28421970816966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.665131834157685 0.665746047898298 0.529946395094448 1.71630869776227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.107943322502894 0.10506484970973 0.0327887555053117 0.0566608457076602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.318261535180967 0.317239072008826 0.123692452981813 0.469486287644917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.553263057975006 0.553962790229983 0.362249919202204 1.28441851705796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.665202879799956 0.665709057603789 0.530514217700717 1.71615377044077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.116135248946285 0.109295967026233 0.0572367045808689 0.0615328436024604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.320470568838286 0.318693155803767 0.129083165800179 0.472909976017946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.553494924146388 0.554841259596584 0.367325341155365 1.28796041751644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.663980674699119 0.66604680871825 0.534315465465173 1.7184250558217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.123577859391044 0.116904083489549 0.0625525623089137 0.0690870590403772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.321937932128254 0.322271755447761 0.131658271414061 0.48213989750487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.55234277898126 0.557259913684517 0.369497436804423 1.29691174599955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.660579263121667 0.667167068970217 0.532568796311597 1.72595622179394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.104376215182825 0.104624209662732 0.0194901856751174 0.0559949403794867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.31638361764566 0.316769194124858 0.119438372134659 0.467588363968197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.553252788292219 0.553651364713854 0.35972835781036 1.28265093261224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.665261213591301 0.66550676193194 0.527164317944929 1.71438002727292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.105260324859784 0.105714763778137 0.0196977124513587 0.0568287786358937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.316588195923729 0.317134393830866 0.11957083609597 0.468365710137052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.553465054959182 0.553975929992615 0.360237672024335 1.28369470267476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.665373468136907 0.665594348634722 0.527668130990121 1.7145226536942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.108690251785109 0.110157110189949 0.0205632362371043 0.0603726958538467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.31797733751523 0.316852905858954 0.120665616578875 0.466689302408622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.554214560934414 0.554068160146886 0.361239802825572 1.28101350906878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.665401082122255 0.665298624089762 0.526646306309446 1.70980037797124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.153236242061817 0.153202156764346 0.116928068362884 0.147907104554581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.336327174745901 0.339463430619958 0.150032403904604 0.513924052791603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.556287481111589 0.55945099515406 0.38301777736642 1.2850283450679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.659639719818179 0.659904048527546 0.537347163966941 1.67318339017649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.225362176739515 0.207745839495206 0.309753706282026 0.253943612022989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.364980137958218 0.365165334148844 0.210473129018353 0.570951563733893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.556799284168016 0.566333456495252 0.41643372591856 1.28981672124225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.648410108855006 0.656016181763969 0.555598869948707 1.63836922288681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0815518438185282 0.0815041004213736 0.0129285799071005 0.0311330409817756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0806427063470577 0.0805262021155662 0.0256722856935666 0.0442000759762933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.144197021228624 0.143968586463751 0.072406933788765 0.136510407928384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.220348460708812 0.220035960098592 0.137497691857686 0.299297452381225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0817924772952912 0.0817158762140847 0.0129847248006894 0.0312155359381643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0807066886958057 0.0805762998261861 0.0256876390834449 0.0442200352727305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.144241729463602 0.143997199440001 0.0724569071775522 0.136558427814278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.220256464343331 0.220053299177713 0.137626584356791 0.299590171472841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0904403563960081 0.0824470317662123 0.131329958722627 0.0315576487561948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0886146806324066 0.0812106717522983 0.0600014573659263 0.0447313841992376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.151252657464818 0.14465496649832 0.0878968625609061 0.137393860335086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.226121465200469 0.221541396345748 0.146829198554904 0.302505020533076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.093288158733621 0.0848969471335104 0.132770481044475 0.0327109697287882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0895787670690147 0.0818033698282241 0.0604034817402421 0.0449860553434334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.151695452394605 0.144848771951673 0.0881784353155051 0.137562585196872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.226231117733119 0.221714056037655 0.14707394208295 0.302809610494455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.119588310945926 0.119675255534025 0.19786006653883 0.229876728557949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.104263609558418 0.103893507307621 0.0786221771390071 0.0981789511666645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.165140902182353 0.160279711294978 0.102267748345174 0.168615655349113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.238178310164121 0.232532811917219 0.155481843897333 0.323821489491804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.175603885267505 0.163272795743719 0.571047383500987 0.417823044966669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.138958277630596 0.129599503619308 0.17621126031374 0.140428155454444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.190728059576844 0.180868188121432 0.148554205819413 0.202729760256314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.25586743681763 0.252291876158278 0.190316027163795 0.363933831779948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0840327577745086 0.0838737366629509 0.0134930900460256 0.032267470501535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0812977619340337 0.0812405145345654 0.0259023727238553 0.0445514911108202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.144494204885799 0.144290319860023 0.0725131185147711 0.136991734416827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.220500367288067 0.220304116897601 0.137604190554948 0.299874667985374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.09461630538884 0.090714931322783 0.0634858732948511 0.0376294982880403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0854863882253354 0.08644469476564 0.0303662982248701 0.0557948827184678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.146294431082691 0.149951183862829 0.074239570609497 0.150623748094516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.222067341724165 0.225878978825879 0.138987683338888 0.314567983024921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.122176038604201 0.11026609316102 0.194281286296697 0.0510386636231107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0985950431181968 0.0960137932919219 0.0628870938798999 0.0683623898663237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.156134041404657 0.156560963055323 0.0925565481110515 0.160311844547657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.228672830476059 0.231841293158297 0.149322624908105 0.325406155677226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.364568555230153 0.316065249907077 2.13972818145053 1.24617667493367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.269994383947948 0.232427872875001 0.624374016570023 0.385150055887737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.290637897360528 0.266397289350419 0.362372347729277 0.355358946951941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.32370921215191 0.318897856676099 0.297635603515425 0.476963126355314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.629958446677184 0.625356305729028 4.58544953497146 3.57513933090565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.45338409002129 0.443926197524176 1.32544651412501 0.965255286649941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.431211346154683 0.424878071013363 0.704367857758114 0.657733173420705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.427412190971673 0.425108076281622 0.508792327108934 0.66653509381807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.182754307852304 0.18331709770283 0.130106593732424 0.178316104666962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.35153990649497 0.352494615471804 0.540550347668902 0.781839950583548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.614868098697826 0.616605201254218 1.206636304088 2.06643850927883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.848246995242555 0.85003871557021 1.76542254412983 3.64545477152603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.182876787031834 0.183500244474406 0.130049832199498 0.178428914908524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.351537461262669 0.352518820363888 0.540437552419161 0.781880268639438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.614838274353478 0.616611248891985 1.20653182236285 2.06648313864552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.848387300439686 0.85012982489909 1.76516674221511 3.6457220318254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.183252717259572 0.184088306427256 0.130116919819995 0.178951881683963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.351555682054024 0.352715724507724 0.540445272617769 0.782401831327247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.614893155291059 0.616759718322456 1.20659488889539 2.06730711836973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.848498323726675 0.850287015288985 1.76519320790967 3.64664103319987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.203700208732539 0.196412957359383 0.510998248248969 0.322449663882198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.368995110127863 0.359853797739852 0.649242784694821 0.819587530396518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.625739214771648 0.620900266293301 1.25096697547713 2.10115324160875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.854809094164936 0.85300160937138 1.79608075308088 3.67168682120595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.24260274114016 0.24850188517741 0.790946434939431 0.820858653624068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.404375526478764 0.389006289836573 0.77330668493717 0.94068976966689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.659035634385728 0.638117827072417 1.32911596270865 2.17554172332909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.88154514387277 0.863822318771616 1.84979832217507 3.72983818636558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.288203671662488 0.321540091888655 1.07823097299214 1.55200796865316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.422114347462704 0.43985905710648 0.808395726358626 1.17001920309572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.669918906773633 0.670423913327797 1.33278935598968 2.30145549471943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.889907079128331 0.882550976478026 1.83659532183658 3.80813930521892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.18457402863367 0.193058248219586 0.136740442418148 0.300412543816547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.351825920745804 0.356455197641798 0.541165459354459 0.797585710454284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.614891711630161 0.61703986916961 1.20547513980523 2.06797333821037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.84828469394855 0.849913398945713 1.76388439314614 3.64575945106355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.202371487528557 0.206224116831759 0.308280390762052 0.382704419457936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.3650687484843 0.360636853776435 0.588241659801286 0.810329448311098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.619337018887292 0.616670489484725 1.21663318362989 2.05766065939488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.849871577355827 0.848635910964194 1.7651996016091 3.62762388928381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.217451250357808 0.232319022445595 0.324503050877316 0.627829502588548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.371873094612973 0.375011782357574 0.601427322525913 0.87640810383012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.624992129279814 0.626822581913859 1.22492567384992 2.08978273042165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.855528096854002 0.855393680139958 1.7708890784576 3.64957373290572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.416770371762702 0.463807766098299 1.89013202359689 2.55782561264801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.499811950383529 0.514253826720123 1.10271730490147 1.45274525727988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.714279196797101 0.703484825677087 1.480043860199 2.38362866478921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.916851808579836 0.899322403634557 1.9263946463989 3.85467076231976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.856416437850521 0.840329038878701 7.36887709942306 6.21848861405864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.7947743778411 0.776239428952047 2.73444562786746 2.78293516369322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.904597360858899 0.887262100963545 2.26882066901536 3.26152368284503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.02893524384257 1.02448552519354 2.41202212696372 4.52741257048614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0833740849254784 0.0834367057991226 0.0330848294391421 0.035731924955233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.113184828746469 0.113170981585957 0.0950685450655083 0.103016203290771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.198368435058769 0.198426276245892 0.246446741308037 0.277573801440957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.284916669871443 0.285434568693385 0.419579130093856 0.501006909928338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0836073338226726 0.083819433272576 0.0330875430555728 0.0357942884363379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.11323025682635 0.113240561035217 0.0950819116121618 0.103001639357062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.198272208379969 0.198397183875635 0.246103188490968 0.277473781886691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.284865813223654 0.285362258207501 0.419427873303052 0.500840947214103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0844144434436072 0.0847539282981869 0.0332834743930129 0.0360717068359806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.113442756922014 0.113436403775987 0.0951473137814397 0.103055500646578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.198356290466792 0.198527220777624 0.246282192739716 0.277995049635234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.284884685163912 0.285266915143108 0.419420998796302 0.500699784348367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0871401993885 0.0875512731069058 0.034021080568984 0.0369232867166582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.114938385444598 0.114441194074013 0.0968560183397131 0.103591158476991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.200633902764109 0.198890940874832 0.251057450780239 0.278092368943021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.286905988966022 0.28522243931758 0.423800312418701 0.50069385201321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.120647372076542 0.12388943610697 0.19113081001226 0.236061635192106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.133374742493107 0.13579797305577 0.138650746371309 0.160829566696551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.21617177892721 0.214890528882394 0.27537766304042 0.300565781529376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.300062004965137 0.297408734689099 0.441348269328914 0.516801606059962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.178754240688707 0.175937374934748 0.634974979661479 0.433867997963581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.163320158942283 0.173132986819319 0.231149460974584 0.260937322960335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.23374526475059 0.240533947688904 0.311666302231232 0.373942475062877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.312272939685659 0.314550763494846 0.465216110357612 0.5870036248784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0862015484652377 0.0862369425912335 0.0340159598410812 0.0367117633036922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.114001429111544 0.113988419310612 0.0955832303174902 0.103490251938468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.198712735507169 0.198835111220945 0.246838303389242 0.278125705073731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.285296485751506 0.285520115958617 0.420150333349848 0.50122348935981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0930000289767775 0.0931450481895582 0.0366095056704636 0.0394848347377531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.116028589493315 0.116089012051221 0.0967371336043167 0.106401444505772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.19947216081205 0.200168214046451 0.247463512600803 0.279891004492162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.286089256869919 0.286569941405946 0.422619240098404 0.502876316617738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.122886627321023 0.11447078748617 0.16879319151801 0.056239781050852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.129113026136954 0.123065289846051 0.125777438909094 0.112942174712891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.207247909882171 0.203102577041741 0.261167512738052 0.283769450155694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.289292986085653 0.286916019178248 0.42834886254637 0.504202336922294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.356295907277983 0.29072813305937 1.89460913886814 0.883595636054454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.26757096627087 0.231275915542784 0.550283771716852 0.408243078329873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.306609832278333 0.282817420798579 0.467032719477875 0.499645866241859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.36202293161623 0.343639224328851 0.564668367341991 0.699904282206796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.706663550608268 0.567056434328402 5.49220201673188 2.83997946626661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.509798506209984 0.405352201242793 1.584874986786 0.903064375748288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.489829244031681 0.399037459907107 1.01226461916321 0.767270083523934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.509464945233539 0.418756330171762 0.957660279850551 0.8885416668127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.068248283673094 0.0683193166093569 0.01553107038286 0.0208713409932585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0631176370371193 0.0632002208286322 0.0288991848200623 0.0368199126398259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.11371543579913 0.113755244592274 0.0876969754990681 0.1176983875109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.175479320538642 0.175890006414478 0.175783121721365 0.252824704448544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0686540193787183 0.0685812504816181 0.0157466649871916 0.0209699891699693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0633192790749756 0.0633076832797945 0.0290141020587926 0.0367812903715389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.114002708940573 0.113884630045542 0.0878658262860462 0.117741672644587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.175847151659421 0.17617499677188 0.176134614221091 0.253017570023966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0694433392793074 0.0694612523851302 0.0160832183540164 0.0213313098504361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0636368341808093 0.0636971947349385 0.029170247355909 0.0369021358919598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.114225164863109 0.114135978140161 0.088045500053789 0.11797833300111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.176146274521892 0.176497012226661 0.176415450495475 0.253487682416172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0726508738334108 0.0815892252603376 0.0174087096262235 0.190172932640171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0652768837940041 0.0718923144860297 0.0297409736197556 0.0695507680934229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.115103421386077 0.12147609248069 0.0882953165481569 0.132335455046023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.176940348963622 0.182772011379074 0.1766413674786 0.261423523155599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.101044674185283 0.128689411433954 0.0485878691544009 0.489114858419255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0876209693082351 0.0969684556822382 0.0722352714199908 0.121911225769231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.13538358945604 0.136175180245475 0.129073624914124 0.147323880536818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.195041393642868 0.194700570806067 0.210818976031509 0.268395974550617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.167225692951839 0.193559994588586 0.560885065734433 0.819503021139199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.120075782735014 0.139847323321685 0.142677569333568 0.207462652034565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.156152088418364 0.164630489112601 0.1470062740869 0.189882302599155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.213763990580965 0.213941756398689 0.218217685602194 0.301153584916031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0707129544871554 0.0710623782615694 0.0156040183977744 0.0220648420199402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0638203307999286 0.064388025608642 0.0284324586717946 0.0373795273635294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.113996080589139 0.114280121548456 0.0874823083925264 0.118071126964563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.176049252718734 0.176480690804071 0.176024889059484 0.253488981324474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0794867112272271 0.0775571923541456 0.0245801767948033 0.0249504880267194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0683168033646186 0.0670894153181218 0.0307911116163932 0.0386881474974526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.117419730160763 0.115842539441141 0.0897969480576858 0.119449181972503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.179142135296129 0.177679212328128 0.178256741028595 0.254912756370213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.124249558078398 0.117373568980467 0.315360332813774 0.246931658166767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0889445723833947 0.0978246262073438 0.0713385187187619 0.127180614871399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.131640971159858 0.140342647558784 0.108315717231958 0.166795650973436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.191486179802672 0.199335229797618 0.192649213820089 0.297438822440465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.338853788516181 0.334276003681283 1.63726930433805 1.48774596880398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.223082433037469 0.246010672177201 0.411865490256081 0.466321155908186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.230359541048478 0.25794044901849 0.264693627018832 0.364890179005428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.266047311369277 0.298610645309757 0.292414191020856 0.465978112437779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.69081968689968 0.668393118135354 5.14210859458517 3.99826699573564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.473353441797843 0.474644774933941 1.41809710543195 1.20644325833794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.415520025711097 0.435921253380925 0.729650873062646 0.791461698544534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.408234244882717 0.432716426795861 0.581518845598121 0.770403610292624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0740938869745365 0.0741487488935107 0.01168404730251 0.0245689729262952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0911565198313543 0.0912484122304268 0.0210216165314464 0.0381589420619255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.171476153374987 0.171595629848601 0.068273911413064 0.141393714117227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.269644035782001 0.269740976682032 0.146813360763002 0.348757946319997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0745271494200202 0.0746064417365688 0.0117463837933125 0.0247181718147857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0911582327654853 0.0912940808664724 0.0210179730102642 0.0381788817332945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.171515795144642 0.171613757743444 0.0682644861207589 0.141412634429287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.269620538894191 0.269688057040256 0.146742063075568 0.348690677161591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0761268332168194 0.0822143778143431 0.0125231260571334 0.110384747516093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0929819318103418 0.0965666337611707 0.0234785394355688 0.0543050192049401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.174309939129942 0.17467308179467 0.0726565039755601 0.145931028329585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.273052694719688 0.271035008947556 0.152561101526151 0.349825452593404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0792145637580358 0.0787210603528092 0.0133305379750988 0.0263276659527821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0923970276882643 0.0918671762270346 0.0220657624476681 0.0384943103467277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.172573657730305 0.17222292620424 0.0687974418802767 0.142223620900723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.270367151542282 0.270135295641859 0.146833681823634 0.34959134200432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.107151625351766 0.112458128878457 0.073985188501232 0.145179898805165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.102868008351035 0.109182577215436 0.0405524730098973 0.079224861826948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.180480981810787 0.187766556942508 0.0798844162115265 0.172707053664485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.276858797713089 0.282293810457586 0.151682973278446 0.375790148257483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.147777910512929 0.153013891790363 0.218251271765436 0.299171986784265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.123028970742996 0.126607349374466 0.0858814446699536 0.112416950311372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.196499783942484 0.198995889384812 0.106117315805163 0.1925191922614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.291132337718682 0.291673121836317 0.172219988424308 0.391651873116755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0822881852107661 0.0787237288724252 0.0629542388777888 0.0301348099537372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.092926452550976 0.0965957143411395 0.0233834282002774 0.0539149996107284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.171883559171434 0.177427988206755 0.0686653674260301 0.156327268643293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.270246994909424 0.274763703182582 0.147519916394706 0.363923908087284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0920736832993801 0.103579943803168 0.0731240854441874 0.281501275048599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.101352622262992 0.108554936515677 0.0433936854922832 0.100798877653007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.179739505992146 0.185444115073076 0.0802262639227628 0.172910378911078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.277761712003729 0.280418596192104 0.155188410718412 0.372023972997579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.115795690631238 0.124818380013475 0.117071861195562 0.303461710947545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.109285967990127 0.115040694489904 0.056858073459056 0.111685238018529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.183308912312747 0.18970244643147 0.0861231233589993 0.182559787212976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.279648196805175 0.283741225466397 0.159649815261671 0.38278096851574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.335126245748341 0.333964687524785 1.7587332507338 1.55331083570972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.25043552091201 0.246863081067017 0.502898684256673 0.472451246993008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.28950128967594 0.28553801814168 0.300689883136468 0.380606555978338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.359214252297277 0.355456736468486 0.296768231295212 0.540087670320892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.634696559249109 0.654954481695241 4.26606152958457 4.06138133686799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.465590842792894 0.448872122242792 1.27867373516793 1.08576642628647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.441770969024379 0.422784398387187 0.668041310100573 0.686925728524484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.468927679432051 0.44866419848876 0.521601863103884 0.738476234964502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0945812079157287 0.0946707144183476 0.0436733233214945 0.0451947885461763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.150714839156398 0.150242589445423 0.122440478575514 0.120619595493369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.268222557061034 0.267437861297676 0.348435554071096 0.350145902801544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.371129725140948 0.370131512319561 0.618323961052133 0.648765677620909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0949579820629444 0.0951505408441839 0.0438448376408411 0.045605506281214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.150910543525929 0.150446036229269 0.122522515336438 0.120897591555667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.268224987637543 0.267389479097535 0.348368955171771 0.350269685008933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.370962743670637 0.369891938779304 0.617677299640004 0.64835990859499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0960054569730738 0.0963628058713764 0.0441589950671504 0.0462380853830113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.151302104602995 0.150938893648192 0.12266137454441 0.121315690554646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.268403739288808 0.267583072866828 0.348550902658869 0.350634116292977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.371037284183302 0.369896617565878 0.617789335534334 0.64830592764603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.109140429434926 0.106366694030157 0.113923881959009 0.0766760732881635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.153146153719936 0.163423612232022 0.124093644761889 0.172757401477321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.269326392731501 0.275276739570232 0.349729132060505 0.387426177652148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.371880283036183 0.374232841110875 0.619666417256057 0.67810230439436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.172249760821777 0.154760789960852 0.528744963959471 0.262869091678821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.186163330938785 0.191586753961827 0.204397705241496 0.232202755708487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.291604246839501 0.296162560159481 0.40368218777577 0.443905331499308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.386118431716481 0.385576976666793 0.664270731284218 0.729826869993661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.257842916379528 0.253875991244512 1.19103792549292 0.980747412485378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.218085632979137 0.256332412775662 0.293702283142396 0.431264324934786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.304150587119197 0.340482082744174 0.437441260080981 0.573205030544782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.391645364340297 0.411628187793103 0.680341385565097 0.813485445638144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.111862154287933 0.122846216797724 0.15303012419263 0.278080693019862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.165345203120368 0.168427266203043 0.164487219103763 0.172820217721592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.278082220959902 0.278480482651413 0.373324475086192 0.384916018462323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.372801889225084 0.376624754917466 0.62549882437719 0.679640291625276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.121790442932589 0.141354386605538 0.162299020049516 0.377899398258113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.171637716822627 0.176846310630391 0.180457433441402 0.187973948680893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.283902397526796 0.283459393860885 0.400025558799006 0.391305212062325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.380657598840612 0.379433121680909 0.652898736186861 0.684369909158363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.150315955002219 0.179101631800207 0.203350197674098 0.575279528378517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.181435673003536 0.196936947898185 0.190125679507864 0.241669782736613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.28964175313259 0.296241945059972 0.410830330887036 0.427131836357591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.384747793678045 0.386740423730086 0.661266831268821 0.704471400477406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.398580391540517 0.435045078647142 1.82345273379353 2.3128062374626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.325344994795759 0.347421296709722 0.615036621529063 0.646893791429577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.379645676644798 0.385336808891941 0.65617586791865 0.671287946710665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.440014600062361 0.433733776101678 0.83410036520562 0.888160384482842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.800837126948909 0.838738102918411 6.3155113919007 5.56469085707236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.550188822298138 0.594822243560866 1.65843286128859 1.46922381635531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.523442813364684 0.543126514844054 1.18858386119785 1.10713788464913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.529222029767279 0.545414370727293 1.13158032384251 1.2089800596346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0747439143202947 0.0747563158914224 0.0100395896641413 0.0252989700974425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0698345963911121 0.0698891752975349 0.0129937719451026 0.027045736668013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.128912883305014 0.128945198636801 0.0413723319214574 0.0929546609326711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.207309313640815 0.207301227296226 0.0943469904539148 0.235614814049986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0751089207277607 0.0750827445092837 0.010109187925198 0.0254251560156353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0698909204912303 0.0699335881616122 0.0129941998872854 0.0270593605170809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.128944950559915 0.128963299423943 0.0413784573453359 0.092966516697513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.207361321482644 0.207305399116933 0.0943797723181776 0.235611754526522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0770482064127322 0.0759528188762616 0.0209469895147702 0.0257851479102588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0716082757188192 0.0702556569657637 0.0176457320013495 0.0273497425406434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.130090702795243 0.129556849029356 0.0433875299256341 0.0940071888656955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.207590459840691 0.208238324740045 0.0949756103420027 0.237617781579248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0944632501049775 0.0795602614168775 0.243385263519145 0.0280340655109711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0857908005527032 0.0732230479054927 0.0713599804045084 0.0304114474690723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.141364210909806 0.13357831396812 0.0657194961246422 0.10014917534478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.215074581335929 0.213006454464096 0.10753508571534 0.246762973932671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.116096824621512 0.118281340959706 0.251707901597385 0.309935336367923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0956621768902245 0.0929957324064168 0.0771071316878426 0.0828897583061908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.149550079908832 0.144199702678241 0.0727465701359872 0.117013267259572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.224282371687157 0.216197573639528 0.116417669933831 0.248659269742939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.15178254381635 0.174399941848678 0.339586563189057 0.720074078619524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.112349899000077 0.131032317993103 0.0971339412348677 0.189675687068233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.16106549493196 0.176458188751578 0.087661868861973 0.174508188199208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.232666375162849 0.241642676933411 0.125578177992626 0.287076178820341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0775312397377718 0.0773600879068492 0.0106496956720411 0.026362240768873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0705005098673284 0.0704439956968226 0.0131092422968359 0.0272680880163535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.129058767411481 0.129140377747465 0.0414384426626589 0.0931453600330468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.207598688562969 0.207483404511007 0.0950302176718279 0.235972055556156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.084879309203863 0.0836155233057557 0.0153194978466457 0.0292133210763971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0730624924084699 0.0721828278124795 0.0143172880409116 0.0281075035286757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.129909782422349 0.130025537248826 0.0424932270134427 0.094163542555641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.207629608010006 0.208732122676829 0.0955898769500134 0.238650504197606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.12053662194734 0.110093020709234 0.256426174802841 0.112271182476481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0926600318088152 0.0892246593285815 0.0695586790969526 0.0631448311311256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.143289499444534 0.14468232931417 0.0664745100311883 0.120575186538662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.217828516338705 0.223048601550729 0.111643369412934 0.266125193205821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.337694001877306 0.319545292254679 1.76765506266441 1.39406808786671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.232985947170251 0.236757691012184 0.490446820454723 0.428721419786524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.2546761063406 0.266838576883891 0.280397444952614 0.342173945939643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.304985239429984 0.314210993412631 0.249274270317414 0.436307558929684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.631218901537356 0.571035229492419 4.55436235658061 2.87164892143028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.435814179470111 0.406556433811615 1.28169066190297 0.84469310290011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.419907266481449 0.403231165486208 0.713727711892794 0.62760333234501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.433218271661259 0.41689503781509 0.52940681651682 0.674211467045894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.135908800861125 0.135640988435721 0.115692715491058 0.127737130093333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.23907578064685 0.239072455959823 0.449263071995891 0.497554019365387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.416803183402539 0.416555752851208 1.00363470693449 1.17261894580972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.572706459789363 0.572365628718874 1.53095293904871 1.92986823513302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.136779593395965 0.138439071022186 0.117663870720911 0.155686559137747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.240462666558228 0.240096749461125 0.452305570000955 0.49958524369127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.41761871991053 0.41699870512155 1.00393895054073 1.17323345120421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.572827444376926 0.572651027401716 1.52961124673444 1.93021146694867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.13720250916552 0.138876949059682 0.117860669057277 0.155917203396399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.240489212101099 0.240233239079116 0.452082672605545 0.499850617125418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.417608119807997 0.417052320265043 1.00391923145274 1.17346663295985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.572863464620388 0.572772319453667 1.5296914863453 1.93089467547093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.146046998757155 0.149162962766445 0.19244361206943 0.269264095534692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.249033544747075 0.24544670914941 0.479067562617899 0.515543568896204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.426322014893467 0.419110677290826 1.02276290462478 1.17682999893932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.579001324753633 0.573859020179276 1.54136975928797 1.93259138874118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.185892365517681 0.1844410784725 0.527201196368907 0.522854089306513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.27022405741832 0.26589781653833 0.54922560187844 0.585111347410558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.441173996385427 0.431616805036177 1.06589659921972 1.21960477266206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.587934311372402 0.580241946135054 1.57113109850934 1.96171879510039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.230933452488673 0.233463163876373 0.754984486846235 0.830160941901651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.288885359230882 0.291916309517923 0.599575418316766 0.67017283109788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.448512619975131 0.450098889733368 1.08317388952528 1.28266663965259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.592243410263484 0.591359297593651 1.58282077092939 2.00865435047418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.139534322657505 0.141643950043654 0.136467333364043 0.180058220036441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.239660780715441 0.245221630053449 0.449765832113444 0.534636015779783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.416863139958844 0.420769582594348 1.00351490220743 1.19965096089954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.572783424626157 0.574671981573817 1.53095479093579 1.95203346901855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.145345969696958 0.14805150092519 0.144144698853297 0.200453528947247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.243805982766687 0.246278324406029 0.460027129661041 0.536229128390566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.420714159703883 0.42084223886238 1.00895041719348 1.20004501131134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.576447210810999 0.574754912682766 1.53324160888205 1.95271710819619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.180059398147466 0.165489946350161 0.443986592133464 0.238951616529525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.262888200409256 0.254867217328065 0.538496420581968 0.557845262758227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.430604062261321 0.426798148140389 1.04693683786301 1.2209253943004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.580781832636729 0.578521988807766 1.5548069577896 1.97425863051406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.371345905597295 0.407315571077716 1.64423903582183 2.01287771639479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.3842813643273 0.383027137329203 0.949837612356713 0.955136255348586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.516011090699005 0.504371586421741 1.27003341044468 1.428109531834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.631746812363532 0.62681574116831 1.67736382076661 2.11597617408123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.626213050378315 0.684397125922118 3.62013665620737 3.70975624474448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.532626575078555 0.530188802140382 1.49380890167762 1.40551347954745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.612080799607105 0.594776718057749 1.56694478343697 1.70143714354714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.694291961207178 0.685747906551215 1.85549176806766 2.31533557217734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0705223350041898 0.0707121818830452 0.0120321461936528 0.026602888189707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0706292533438736 0.0707770027998888 0.0175988990088988 0.0313339438163602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.125189034784211 0.125420292555485 0.0515815061455258 0.0952908207942237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.193985730714222 0.194340535444884 0.11091633667692 0.225073260287675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.07090538424594 0.0711737036181827 0.012097739939061 0.0268583012773917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0707637497415696 0.0709359837693184 0.0176947009998597 0.0314853881808311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.125210356269879 0.125599129931806 0.0515812140016637 0.095542108513194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.193975560271665 0.19453015292576 0.110904838297296 0.225516599193046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0719433864181373 0.0723138139019608 0.0123206179678288 0.0273277182813392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0709077793090952 0.0712167485729419 0.0175856175500788 0.0315374842138523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.125253655013334 0.125747914259118 0.0515681290169739 0.0956958258764447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.194002517307334 0.194581963436775 0.111000987411377 0.22571366120116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0794182659027143 0.0769202212279523 0.0533711327434065 0.0303633878292714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0734139594480909 0.0743337015586164 0.0203585102768212 0.036816923537112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.125819466506017 0.129130886495959 0.0517390187291832 0.103349576094696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.194287994841089 0.197319417371345 0.111085454416161 0.233005617733719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.1109551942316 0.110524645474074 0.224884525919556 0.127386182230317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0881513543718535 0.0907456139468308 0.0502281144496724 0.0592146992038121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.135703720346446 0.140327798578173 0.0631272153344975 0.124406713832844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.201273242810355 0.205742650289241 0.118802937482595 0.254577488686993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.161373151995282 0.152229360959172 0.454624311516703 0.284628359972692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.119308070008245 0.112372051935899 0.109293664984366 0.0953459329816672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.159688024502537 0.158231015734955 0.0941583935515521 0.156771400012271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.220058774296543 0.220429037591812 0.138177923196418 0.286212726594111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0741076943658551 0.0743619838786703 0.0126576343587194 0.0279412519237067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0714682706892555 0.0715200117806604 0.0177278844216735 0.0315321026318101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.125600276227325 0.125491721045725 0.0518273506900936 0.0952594184450646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.193718679543578 0.194120717588159 0.110943727976689 0.224751111075189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0879308384985106 0.0866789807751278 0.0865152397488538 0.0740723975467682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0801984559451729 0.0761945098859289 0.0371492742441589 0.0366868326560686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.132686520728899 0.127861693018372 0.0628292238967647 0.0974736088840031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.198135337793096 0.195536861942983 0.117696901437911 0.226648887891302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.117894949370439 0.120698728496435 0.180942732307462 0.241808107631972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0981030589191654 0.0918259056397088 0.0665560975137743 0.0640336598216475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.147264761501168 0.139430723325923 0.0797521633394452 0.112184379488361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.208287442148779 0.20499878090576 0.125912285332352 0.238615258907981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.303607974138495 0.281241143935938 1.33270147895328 0.903472835849116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.207016605012835 0.177516110481337 0.34246774685737 0.219011608294523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.228147358319586 0.21048997192981 0.235710578663168 0.24350626541483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.262488926479932 0.26181572896782 0.219514401159383 0.357946915187816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.592513065891678 0.546423308189722 3.83870585320734 2.4343651607175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.41557835193634 0.353896006095869 1.13923309685405 0.602163557351674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.386289001741191 0.344594141333506 0.64357986629597 0.514378809721899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.377880568648087 0.363482008284484 0.4705892075555 0.587458596603902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0565756551266985 0.0565703474602816 0.0042871448951977 0.0122584846883729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0542295386496458 0.0542338609004537 0.00506374357524845 0.0148498280430181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.10210280152313 0.102073064655386 0.0169355425136 0.0522808473944392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.16831468633621 0.168268864516387 0.0406461556870468 0.135876491386029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0567070428747612 0.0567485605209192 0.00433683643770657 0.0123310995017363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0542560195771587 0.0542634823472682 0.00507214035718629 0.0148600856364627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.10210281595165 0.102081566290968 0.0169391487248694 0.0522931848375892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.168297941662281 0.168275551139559 0.0406311293388839 0.135896746778242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0571571103908142 0.0572607120500349 0.00447635510032683 0.0125393562763921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0543569843461266 0.0543760478943332 0.0051265549039324 0.0149038860138818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.102102600717947 0.10211615868556 0.0169544041158628 0.0523316168172202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.168318422883777 0.168317721926993 0.0407106809680832 0.135971625888952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0591796220371019 0.0593299580745954 0.00505342907445372 0.0133814301664292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0547488885537289 0.0547496751330953 0.00514939906311507 0.0150309243547146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.102243760079397 0.10220684489809 0.0170305960508597 0.0524252452212667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.168513816305258 0.168493906448483 0.0409462441698716 0.136535950296224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0872460499022905 0.0900700706421668 0.0837838843497157 0.142805101185288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0668774050392346 0.0681627796582212 0.0239284994797168 0.04160603411868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.11137518810414 0.111077477966915 0.0294023243146962 0.0653912444405552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.175053604554653 0.175914598686385 0.0493022107014144 0.14659996900767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.135284257595589 0.142717933161162 0.316739472532573 0.448450207230117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0940074922731118 0.0977118934724481 0.0808781205751258 0.11206105183833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.133631536321655 0.13357838385499 0.0593504780573124 0.100285991914887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.191707325202402 0.192142394155771 0.0681311249038718 0.169253122867579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0582221688669516 0.0633605464594479 0.00477021460523766 0.075566159945365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0547967706561163 0.0587650931713077 0.00514856525014826 0.0280393989203403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.102473814271823 0.105460208075526 0.0169911013132045 0.0569640673368644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.168865176321802 0.16993736795384 0.0407064103241576 0.136837468231883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0677009937646131 0.0753441833986279 0.0506770943248768 0.151329946231334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0592346791925305 0.0656025516962834 0.0135163256429566 0.045770525084511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.106234006190514 0.109233176603478 0.0207808281617195 0.0627690783082982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.17273692158341 0.171357285686433 0.0442489125958302 0.137418409907474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.101707882530708 0.100604800442176 0.218612176445139 0.234437409136369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0754288604652945 0.0773369358394646 0.0449766973696454 0.0681831111185605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.116108026637335 0.118473815347228 0.034928952940728 0.0782926327812163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.177762048122096 0.179565475255017 0.0546094887723874 0.151985118646087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.278142604595384 0.27903710629378 1.21413601691629 1.10234113687828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.175682713761478 0.172154292421208 0.277252695781341 0.251887292875064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.197085586216726 0.191252923883846 0.170598430039768 0.192868142878131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.237294337791399 0.23353481567882 0.141043110175827 0.233609172685406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.511092287988146 0.487115438991782 2.96910840373065 2.10397771485965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.324152568582792 0.301931433031078 0.754731570617122 0.54240182721553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.300277377489983 0.287699698897463 0.383306173353691 0.34683170137559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.30362811146793 0.305699161779762 0.265575782308495 0.356109122136019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0752946705774983 0.0656520846710546 0.00851628714453601 0.0185863046209895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0199831986706825 0.017381531390491 0.000863854994105389 0.00151935283789119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.0162277465394486 0.0150469109328473 0.00065565934895156 0.00155074135564985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0212751874910615 0.0183292774669579 0.00119100321696359 0.00330933887729502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.10120927325374 0.0700188849998882 1.12290915935541 0.0224221953341224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0411034371646326 0.0234723533816967 0.216540605685841 0.0117800276043858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0311117336353054 0.0255790653739642 0.0533619064904568 0.023098980058362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0293295987218573 0.035350791758046 0.0106760065135816 0.0393395140902324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.10879293973728 0.0780038063210484 1.13970106402023 0.0260295863850881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0443013251262076 0.027035340563391 0.219373524999247 0.0125483807001162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0329292631835962 0.0276952547123578 0.054822991063232 0.0236937620240149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0306655672467178 0.0371043476168291 0.0113643418787303 0.0404028839615011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.13114422049081 0.10236373616565 1.14564776001053 0.0391328045192574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0545886221141431 0.036561079617423 0.251806096325021 0.0153192244581686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0377372842852868 0.0336818116821545 0.0553461851858462 0.0349751756136063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0337052154642489 0.0413061235420472 0.0118580178705685 0.042712587255016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.300921441965804 0.27415917198485 3.22848271904803 2.24969546952864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.147032164118659 0.121658078009971 0.950076757309889 0.598566573768559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.108690979590367 0.0985000515823004 0.381756205012258 0.29925953658514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0958694772168553 0.0991665281462018 0.200894837325811 0.222897367070954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.538276740679523 0.622411749211615 8.12307097160433 16.0523414958391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.281521660162056 0.375509534096574 2.01816881679164 4.47723878208271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.217664651493216 0.322535729406321 0.831974585452937 1.90493847632605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.187854386921127 0.311429826405663 0.451848924539561 1.08710060076112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.100111107893081 0.0917815575333873 0.0191300487118147 0.031331670270147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0302493460904591 0.028046765819816 0.00209505997194859 0.00290579959344367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0217266614530946 0.0214997392134978 0.00159709497855276 0.00259294003745613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0254915280459298 0.0235059600941679 0.00279853528752803 0.00494597945700466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.167989320067166 0.180170425891969 1.07688606436385 2.03609966159768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0692601453952567 0.0880550025486959 0.248239711808991 0.59599051343178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0477768811668215 0.0768024337724737 0.0587876789781061 0.276350613507339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0417325821043886 0.0812801031221117 0.0146941499335343 0.181684329250107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.343365067412092 0.367606212973205 4.52505216549599 5.8805517821583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.178812158795962 0.20761949143243 1.17493131239596 1.70705966847655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.140714206965883 0.182543820676864 0.475671925693656 0.759427733417085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.127288764776299 0.186659833641519 0.265695894378853 0.480348607153305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.26084734002289 1.4035789827798 27.8031541172783 30.4487046502351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.781898410560644 0.898415211329521 7.85118867060883 8.11294660859519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.66139529187999 0.756390135398334 3.80009684993504 3.60652975085847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.584454069419024 0.663142423503436 2.2875737704377 1.99217581893177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.59506881972151 2.64084965625057 80.2504382791479 61.3899129714953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.68572261572927 1.72094283045128 23.2483836207497 16.9619393673397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.38377244732171 1.42070060392785 12.061312675849 8.47055720296154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.15743746805636 1.19008914943062 7.50736474425074 5.0452489875195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.103782737687023 0.0914588327053483 0.0296547123758548 0.0272089831246952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.0402906550166736 0.0371243015077863 0.00699632316635017 0.0049119123168706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.0491470693214853 0.0435544874675741 0.0165325508201443 0.0115527920374897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.0855643201236675 0.0732884117183647 0.0478313792398786 0.0349892602623362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.106878933992982 0.0954462353842643 0.0308837711227257 0.0294476528037717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0416136186031764 0.0393884980234609 0.00750729338976791 0.0181337047536015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0504376815799922 0.0461203069141047 0.0178897548501972 0.0236724324473034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0872917592679254 0.0760704946270103 0.0503716662231538 0.0442918641960306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.113483875319368 0.104259948912486 0.0341411373234382 0.0985348644582641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0441222749912523 0.0420616755791727 0.00799854416024812 0.0185435741706776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0516500574683175 0.0470647436852513 0.018153515310799 0.0237204022488656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0881856157592704 0.0763117019167603 0.0518551594211135 0.0449595702854284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.165096993206815 0.179606606439554 2.01203425370324 3.15802017145966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0861100348196466 0.0979551752666858 0.52673615865955 0.727473694097134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0933692211365335 0.0941405563610047 0.24504316278316 0.277650341571549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.13157382717147 0.117005344597792 0.181016422411607 0.166090382439815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.394834562287902 0.315858168071224 9.12311082936484 3.57504913505622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.243137628261404 0.162465437691437 2.53373092891984 0.870087990889145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.230435669311146 0.127525894312976 1.19673077151182 0.30228561426651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.262361359544879 0.1372649546131 0.822290198421289 0.193595788001868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.595944096012349 0.583650505855395 12.4415318957293 9.7691027023963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.361145416582495 0.323449382090403 3.52697103810917 2.28902270454461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.328825876361444 0.248584989416627 1.74666774336394 0.929147901219656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.353553925172821 0.237918246568447 1.21747456858776 0.542704291244837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.125550877076138 0.116559173455941 0.0407966057915065 0.0401239455266989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0484711414244377 0.0463274845542767 0.00872447369261978 0.00675512937245927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0530306639359377 0.0474727151926835 0.0173831260616702 0.014240843131559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0874876740089997 0.074857273333991 0.0485551026488084 0.0364082354411732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.189088386621996 0.190078519029103 1.37639960984574 1.73973726210716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0870050322014508 0.0960658569916534 0.298180222759185 0.459019589215466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0823481630924565 0.092478546351029 0.128654136744461 0.246179276564029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.110077212010736 0.117881512381156 0.102173111329731 0.176903428127818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.29799722757121 0.477111427277192 1.58391923117188 12.7846611687617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.144952685661454 0.306491388040605 0.429644635091427 3.30364598191143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.130002101296828 0.26588096864027 0.215116315417497 1.33915918981767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.163111586969987 0.271238476894435 0.21269563937204 0.751098595754444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.23985980836855 1.5275121387303 29.5073440887938 41.3857674193536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.771464106669449 1.03976812549383 8.07692257568229 11.7494702076578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.64235157251832 0.884368880539989 3.63673303480446 5.24584157822704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.608829047269897 0.810551025468401 2.17425396433105 3.05947015761855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.99776823752611 3.14980343900862 113.045414056059 93.5896219643827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.04395432925748 2.19170775363704 32.9538903113176 26.1640800848197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.65334114026247 1.87464026927405 15.8141953359717 12.8577009968932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.40836603350364 1.63049710798443 9.13030701593889 7.88144570499088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0312811778946846 0.0426792738447287 0.00428501001331581 0.00520932878510857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0134477370655084 0.0130138159640743 0.0007862380474212 0.000553943228568575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.00743803796431439 0.0083040616507269 0.000280243794523186 0.000158363209462149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.010111281560817 0.0103736619586042 0.00071767549610972 0.000375740514025812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0388720696606354 0.0478160233724255 0.00577005677939193 0.00616130297180622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0158487720520175 0.0152209982819398 0.000957765059105942 0.00067673813503968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00889921849865401 0.00923928327527034 0.00034327518899628 0.000188762463416009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0111264794772838 0.0110791688612462 0.000760689726405211 0.000407414981722808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0517716248128212 0.0586385942509687 0.00940271709564871 0.00892552943396413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0203926974598807 0.0194615979580978 0.00138378152899812 0.00101086774519249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0116249980434611 0.0114277223562559 0.000511948167142929 0.000281873018605109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0127377949663522 0.0124821391423842 0.000865002178374873 0.000490915964004644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0854798294401077 0.0904934641790585 0.0487570397310953 0.0498225223943262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0360823476452583 0.031941448890545 0.0206381734734414 0.0190968352972482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0244032267493621 0.0172481753809755 0.00980798114961309 0.000859804093133116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0240724559934304 0.0165879279107235 0.0194162319846445 0.0039602813278542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.238928048505117 0.263202291812531 0.431492744200155 1.83691814867649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.101259011774249 0.116284671015886 0.188813190374312 0.479291287972099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0733969783352813 0.089375393856474 0.140675921075739 0.331199859472047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0642989757046611 0.0746966189602509 0.0852762606773922 0.138705340503992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.474974692855346 0.449594572538978 5.02686101617069 3.3832808075704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.232793259562212 0.208161751231289 1.46805852015393 1.06933052363947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.175686349120998 0.152538886593999 0.701031717457029 0.61284698155819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.153242535621043 0.12480623998534 0.429745861006121 0.302387311509249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0727825686371913 0.0763507104948923 0.0243874441226713 0.0164139285279792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0294066316587557 0.0265954136015261 0.0271360847363359 0.0114168141824603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0163637870764731 0.0150091022531706 0.00104048473853409 0.000676756978625625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0166245249907304 0.0147897691518716 0.00956161937991311 0.00429190427003644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.225303469152933 0.129814168728375 6.1922739171756 0.0431284004299753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.146320937368948 0.050128911979989 1.84190406645175 0.0405894414639251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.124748481464337 0.0364615153050828 0.854419650731603 0.0711839497293761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.114609072009246 0.0340392337308245 0.450389128832314 0.0364468271619768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.358464842311617 0.251951012423259 6.43659330442876 0.160966057377598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.203302189811441 0.0997172910819248 2.03286852119932 0.131057045355376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.159808218247208 0.0677003035706471 0.943665802614205 0.108097212393041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.14049942652835 0.057871255447847 0.507077867036983 0.0811856862571379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.69651409474184 1.34569621498728 59.145849286956 29.3487098259456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 1.13905976224775 0.789760787616118 17.633105004965 7.13581429370112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.993272634337865 0.650495784688691 9.11414021602612 3.30821483018793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.914379992713108 0.576202152641062 5.86153595581241 1.87219893251599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.18481900557872 2.84529454997987 117.431733847231 72.2132670988425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 2.08692274507427 1.73974424969337 34.3970076503829 18.1066481614292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.762859373255 1.35564662588307 18.8854578060043 7.94063560365158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.5267674086537 1.15336891513912 12.1608147382733 4.64012246279198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0301986175352139 0.0316117986514178 0.00272243227804159 0.00318691794242979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.00697213650923873 0.00668110964175564 0.000148154289473648 0.000162030134390052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.00489143524784717 0.0038947398390491 9.09654537382437E-05 4.16453274869858E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.00540108260061509 0.00321081461463941 0.000140554570268906 2.50683547097884E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0363848784879079 0.0364438767290313 0.00393087657770169 0.00413366755429699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0106575769265911 0.00974908850488144 0.00264498536201673 0.000376707004505989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00633604714129364 0.00528716315328396 0.000134739968128021 6.97968558398765E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00670617297205395 0.00413137192486208 0.00363270691567002 3.91443201059749E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0492499016894536 0.0485964989281616 0.00769447121161946 0.00874122118162546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0180009438247728 0.0153421658049202 0.00502085388371 0.000945930048600709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0105018247067195 0.00796352038200527 0.000743306794298047 0.000162646212597963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0100742493145293 0.00597483909470467 0.00490794591865839 8.5498485789872E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.082205657990304 0.0876978289307901 0.0228306598012102 0.115991215133681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0348550015577313 0.0321868897384686 0.0123866470830334 0.0101986740692921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0238951950932159 0.0152474297516253 0.0108138442233248 0.0243397067707668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0224347310768044 0.0110503506991952 0.0122168854171088 0.00383490085651798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.303137440615668 0.268055105360701 3.53689774970932 2.02623577739341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.164015255542268 0.12524884847567 0.990250362904873 0.499827551474504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.121158389357459 0.0871726815469048 0.475869765485346 0.292972254369956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.107270914267205 0.0743179846104102 0.262767012806898 0.144011476766634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.578831574650181 0.852101271545041 10.9790402387648 22.9183465467226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.350106685572964 0.549964022316596 2.9718577859324 5.13288135719307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.303592616119237 0.458937531158921 1.51476875469578 2.24066095801293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.306296354809028 0.405145996835492 0.921881418628 1.15710110273299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.068908079702671 0.0663667986106082 0.0144785246307232 0.0131723074843426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0256156737892105 0.0238507246660311 0.00228565666982921 0.00188241345342067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0142457505795736 0.0127964891736804 0.0152565781118602 0.000586288042723199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0117119242397487 0.0100683187300692 0.00180160430772448 0.00105894478960317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.171072822686155 0.123393298799168 2.39788649379748 0.0451050762157561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0930927453446458 0.0461710454882954 0.629411736782834 0.00654380388276585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0680840624039193 0.0250414046198058 0.282699750943262 0.0268820259777204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0618204864982644 0.0199172162950323 0.16103576375985 0.0281402472343129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.332575091070974 0.309792176578248 3.54958601479882 2.89515051956601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.17579271554279 0.147887686185869 0.851113344104981 0.669045167949242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.131124725529132 0.0938541606277281 0.403610449348108 0.264558578084565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.123085567145576 0.0765313621408782 0.25602556984886 0.14349918706853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.34655915546177 1.16454886579586 26.4375679769104 12.4275290550481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.782056528598256 0.599817329167888 7.13944242244954 2.96411773115573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.60835487132359 0.408629768819902 3.29720627037139 1.15148946033539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.562116979336352 0.347059878069641 2.32295727839274 0.94795650036787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 3.04716639491714 2.83379783708406 97.2067094778389 58.7152663991005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.87227634370425 1.67967180465194 27.9772871913993 14.3758790395138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.48283573710735 1.24392078629755 14.0127897582726 6.3707505344374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.29823221274916 1.0474579825774 9.49080596108482 4.26719971285418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.058057034816636 0.0631781339703528 0.00783047458850914 0.0168855784707488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.0214818583049146 0.021448209595953 0.00128589169448863 0.00118625588877311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0153479386660944 0.0150417406220888 0.000649838276033806 0.00085215679388503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0251412214568588 0.0224462657158513 0.00170652390379524 0.00242966651506142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0635703620639663 0.0678155160217622 0.00890334359760133 0.0184163292113852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0228025473071503 0.0227169633604561 0.00143066684777203 0.0013134833390643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0160310432283135 0.015632031808457 0.000699024795190627 0.000899967758754044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0255794363361124 0.0227327380214337 0.0017934845973151 0.00246087668304171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0742820396373453 0.0771918961547398 0.0118530166746716 0.0221658378515658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0259685369384592 0.025713146602555 0.00182348478771715 0.0016674567226829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0176610704230725 0.016987046100278 0.000833510548948847 0.00100572728369055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.026546044002994 0.0234001895576387 0.00203111369213538 0.00258439408493941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.10349562999905 0.123756549152399 0.0355822737147079 1.05451083071793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0431682320546783 0.0472449619710928 0.043476517178123 0.112834596621209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0363574303891519 0.0248099841322982 0.0708144306579467 0.0133173040651692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0458160746027403 0.0261626028985538 0.0646886259561777 0.00692562448922219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.309575659173793 0.288823456628086 3.58314258859487 2.5824125895477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.169094477054033 0.12828140754895 1.06176268195618 0.476362136488881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.138503749190244 0.0812161996910678 0.548023239699754 0.217632481797321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.137692601887918 0.0691986357867086 0.355873830678013 0.101911433642457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.578503356356287 0.500500564077882 10.675575095173 5.30873859573253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.338009749690317 0.254836948250561 2.90671843052028 1.31975968956498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.280110034203684 0.173134897254538 1.45681982401585 0.541966920611784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.266825171747814 0.146673847347397 0.926232038803219 0.291361103327918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0912056043891362 0.0921708983149404 0.0190401899827641 0.0299603482936559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0321409081572313 0.0309766644400344 0.00286543820013236 0.00252728092232456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0208266875071349 0.0206607207907465 0.0013081281649367 0.0223172878518285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0282641848196896 0.0245469383610179 0.00530122861226989 0.00273369322014983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.156663767312679 0.140302632116582 0.768134654699551 0.0874119992639633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0683555894441074 0.0519040669381388 0.252414231013996 0.0275013398691136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0487114092093403 0.0343707994247537 0.122519100022217 0.0400114887431646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0517700169558154 0.0359148613719218 0.0748601237843338 0.0152933173435602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.334803367761269 0.371688613016425 3.44763666537039 6.70531963458176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.180604411358857 0.210185151037488 1.03127490119855 1.66217045150766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.141268243693506 0.168506572106534 0.45270548986631 0.677362942411357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.133087597641841 0.163382161656922 0.245439708567146 0.407372641379622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.26318122423532 1.40075824872528 26.1599100214276 32.0059618865657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.800492570684489 0.87432939323204 7.92484922553616 8.06214500713923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.676318061733905 0.712839204303739 4.12860212994409 3.54385157133755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.662137789038426 0.62656035946504 2.98362632253774 2.00611984556576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.5734541759222 2.62064104933952 72.7627629724988 59.9330966227886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.69705052349254 1.65986714741996 22.923558733064 16.0656328963743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.38646726436826 1.32725012009737 11.4994731348601 7.17843714461996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.22538549147315 1.13878697262675 7.65287252461579 4.19800963138122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0569086963001228 0.0633468002045276 0.015411530444373 0.0183371221396879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0184989879391973 0.0233491182878823 0.00206876115742618 0.00304175117565653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0198537267425323 0.024332988721538 0.00250534593254649 0.00354960007728934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0320284506166218 0.0402121432019363 0.00636060866992403 0.00912222435800893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.064409648497409 0.0703473543961407 0.0172206541901436 0.0197442942515871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0213865034342258 0.0260245453913449 0.00223478806843839 0.00323475872768405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.021439180132558 0.0257477364688909 0.00262873488435695 0.00362809873407367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0329257864113295 0.0410368726108681 0.0064738246302759 0.00918579400404224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.076197806036025 0.0813702430300241 0.0204195397784465 0.0231260442460598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0267151308240007 0.0301863978268437 0.00286035302929423 0.00369515952104558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0245049990293257 0.0276033675712432 0.00297744956352226 0.00378658961877088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0344803657269899 0.0418174970741544 0.00666170860748462 0.00926998802453249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.10470661077367 0.108156112971231 0.0368404363398841 0.069073429371538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.038403328631254 0.0407987580978412 0.0098200485144519 0.0373112739593098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0315582622934037 0.0325247390316305 0.00663622218919355 0.0044098178302254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.039118840796485 0.0447838696317745 0.00828208031694993 0.015666174264709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.306286408640579 0.305580331832629 3.07715692332925 2.82714065200751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.146292979010759 0.142754414118832 0.721147448219533 0.601968175899618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.12418726562876 0.105950113676431 0.368372212547922 0.232307306280958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.12908196193852 0.0956762154635941 0.259934479864712 0.114172569228809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.593154318983611 0.529424161490689 9.05599402616977 5.06186084759976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.3092430984161 0.251597241822193 1.98712697386985 1.10401747161963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.25972056117682 0.19016224020827 0.94517332093484 0.431681275180585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.245943708405104 0.172598700853842 0.617193847316754 0.297866065857014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0931303919510467 0.0962427610019348 0.0282617562222696 0.0283375363844729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0325692219003293 0.0360136468637833 0.00367215793415348 0.00444305181100673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0275815676375705 0.0309667395802015 0.00348584340066249 0.00414160724594159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0378255846674955 0.0443013008903264 0.017436514555735 0.0104924002077635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.144593549122493 0.144316393525424 0.0692089227955638 0.0915511066766649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0518265131845249 0.0540692321513446 0.00899245797577917 0.0368577335232722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0395975367032856 0.0397215895372436 0.0131573440407543 0.0066908335677011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0466423729839345 0.0487884321280419 0.0273419618876767 0.0142805241762935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.308296043078898 0.289186931832797 1.85030180211595 1.83006740153756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.131015913365647 0.123630870235513 0.384587662957637 0.461119199303775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0999026431694543 0.0907639458458237 0.191969890139233 0.192290222358515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.101390707738768 0.089455683322056 0.163494648880134 0.123927696526835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.55127610026583 1.26402047752334 37.8045312755794 18.5891833483213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.91254154964986 0.690416469947248 9.25749179586599 4.5389493392587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.787483995199469 0.560352765431921 5.17728029383181 2.09803809803931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.712619733472667 0.50488370614235 3.53438147747294 1.40846541826701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.84991641563515 2.96791448328707 87.3683544937427 64.6650623296149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.65682862508203 1.79462181406829 22.2926452763855 14.3226495088707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.32857698568037 1.48689322846077 11.4434331151613 6.48432654434097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.14595562451443 1.29891462958715 7.5123224404495 4.23753122352544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0718889401963643 0.0667733874666939 0.00906435529537564 0.019399208001714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.020190912224017 0.0180306714721908 0.000966369749464154 0.00147450850392392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0164206005425671 0.0142392174367974 0.000697889861465094 0.000958662917902655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0207608562675873 0.0170602823582706 0.00120256014808211 0.00169927190789539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0757189073429614 0.0700270341511097 0.00993632120097283 0.0207494960722741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.021833667226099 0.0198883603064695 0.00107368549427856 0.00168686448457164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0170891693663785 0.0151600970190373 0.00073282260994484 0.00103499000656442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0210361451908691 0.0175810063178889 0.0012158475622222 0.00175322241281741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.084179397911391 0.0773627211313872 0.0125180379027714 0.0240177608506914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0252567860284401 0.0231594509530837 0.00150911121571462 0.00211946724942222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.018706076196934 0.016715381714968 0.000836621574010225 0.00115895140172102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0218139056032665 0.0183901233500169 0.0012676073294869 0.00184899966855978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.10797141277176 0.100530192289098 0.0231931070871249 0.036405727781311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0343278489251131 0.033461972993344 0.00336356786284485 0.0180439272561825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0234489268044465 0.0218446294151719 0.00139507013887111 0.00173541116468228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0247229897839602 0.0221457389115968 0.00229149937271759 0.00984331138760608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.30563482090778 0.243388593847406 3.99242707642175 0.379763811069444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.141984274344198 0.109598258864543 0.881918633343622 0.245578849549072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.105234296928898 0.0914957672545548 0.353648250539161 0.185216798559552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0855689752933033 0.0928810761418018 0.178739421754624 0.165126212148823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.4840992786713 0.401390014682389 5.66928432228912 0.714628430105268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.22809461363585 0.172726920631478 1.31095996838142 0.350665857037487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.173339605298681 0.137560275230027 0.624526421053675 0.333014753683378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.140253539229615 0.123808365884968 0.31339335154251 0.214476570243072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.123148752879566 0.0924621711425891 1.22071564825089 0.0319923282087363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0579269463115639 0.0288335937187104 0.340086494095985 0.003019124938788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0482816063091535 0.0201696969570169 0.147208676153031 0.00186839716978157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0484923389439763 0.0216533627615737 0.0771234150368663 0.00327514618637262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.152203420209312 0.153416391590858 0.303983845546369 0.430482868804055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0540471386946126 0.057679334356144 0.0757028618608252 0.0790248187840954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0349107642576417 0.0396681607652605 0.0150422634885068 0.0332309347400256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0327773226625207 0.0356333250987238 0.00896327557757505 0.0151926055780407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.328366858548263 0.305584584939752 3.70903441659935 2.54799260489403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.166545571481274 0.139092288869528 1.02240040305119 0.715776924016367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.138124040618223 0.101163494299009 0.537361552172892 0.316793907912909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.127299459822865 0.0907819859424437 0.302115638259363 0.182690414722794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.11185259536507 1.11050897697405 20.1943941616349 16.1950373412706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.625510541473336 0.613562982723234 5.49669964403492 4.29029446283728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.536653388243433 0.495193674510465 3.02792820034759 2.18276806185047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.487961769761005 0.420401924050977 1.85316779395931 1.32460726097871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.40289479559181 2.48458582154596 67.056437033901 52.4829308992817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.5439292724084 1.54760076022928 20.7088253222147 14.0308253069278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.34675004849721 1.26927509318411 11.8968847596505 6.85259831968187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.19770995675508 1.0644051111124 7.68173984112641 3.9721753381285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.101202878642517 0.0788773913042837 0.0336596640365233 0.0279713388998092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0429755997800114 0.0344965956454831 0.0117819779694661 0.0114861691962428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0548646395962107 0.0428040536019415 0.0338821793480737 0.0337294809392498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0900094155360423 0.0685382794636058 0.0853512612203405 0.0850173959496505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.104017955775058 0.0811408835001631 0.0349434893016265 0.0289189588116329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0443847098286575 0.0357996967958078 0.0119829199969084 0.0133216918045218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0554147292582468 0.0435295718205905 0.0339736269208681 0.0338156062743242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0901640056379084 0.0687672792635271 0.085419240526592 0.0850375880434273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.111000414223744 0.0883020674837847 0.038306529459475 0.0319587369358086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0472255799911569 0.0385165454776207 0.0124027198499169 0.0120728671087101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0565302915969176 0.0450344940813787 0.0344424414289927 0.03403970183854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0904177827248377 0.0697283788112408 0.085520682083667 0.0895184814329951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.134654633940085 0.111986487960189 0.0602200700151915 0.0438689154242268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0569930396963067 0.0477046975129675 0.0158483529329364 0.0336703598469235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0623341957053623 0.0490674807217729 0.0441249549968387 0.0348535117426312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.094116575365177 0.0719868377685477 0.0909521388547356 0.090245255022896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.330988646592803 0.287378748917579 3.71310843027673 2.33979660397056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.178037619112123 0.134525184121141 0.910866031899058 0.551299248557395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.173616209850477 0.0999173912212764 0.533247343790473 0.140681681390559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.205640040850691 0.103731236783594 0.482130753948079 0.169676156012131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.570069236046622 0.508897659590665 8.99187990209975 5.77095664777616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.323568484531568 0.250746313840159 2.33478619031174 1.25595149939592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.294165569404209 0.191307384728763 1.27601917623309 0.482431891749726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.316351040075181 0.177151069411613 0.965645744051483 0.407282616207531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.124106456652214 0.132152930564879 0.0466748735904013 1.37934365110695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.055328962652002 0.0657661201000952 0.0187039641547093 0.246058663438503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0669000609876884 0.0654358790186197 0.0565070918179959 0.105081221935524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.105206202228604 0.0828557416495691 0.108765260967999 0.111352526746382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.197522139333856 0.194181490002365 1.71441329678085 2.42189945828695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0983672395378682 0.0951036530204856 0.398452333144406 0.520670321863098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.10129338321326 0.0854460419050283 0.236293040145339 0.217243127115621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.135961150152072 0.097563534970722 0.237233117417535 0.162757963326496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.330651022550904 0.338645068646551 2.93879069517299 4.00443104387473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.168216661610588 0.171862421656918 0.701627833751378 0.954876672294068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.160829573050478 0.136531776483822 0.40229538547359 0.343981567381647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.192437589174236 0.136294830799199 0.366327067921357 0.27192479893729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.12546672078545 1.24042748809615 16.900070268725 22.1811085194129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.640919685806404 0.698117742326671 4.67638901039741 5.30661099272144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.559970882544851 0.541692279440629 2.5343556738057 2.2299588013708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.570806598893264 0.471316520242502 2.02905588247149 1.4315481709946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.35602164566778 2.62646756546762 57.0911341171124 57.1184181245184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.41144054750234 1.56189785398301 15.255919282728 13.416571011237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.19051406577818 1.25743981674283 8.07943150657881 6.26361991799597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.10891207393913 1.07470070615813 5.78002944593803 4.00190612809747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.0796827927102632 0.03756759644959 0.00905005115016897 0.00851880205987507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.0262915445451047 0.0114930403413507 0.00117629963528403 0.000940436403667349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.0219250522166279 0.00986291618992073 0.000976691988184188 0.000685689608738039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.0296198859616799 0.0132915068887962 0.00219159434358834 0.00128328080076083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.084119985689916 0.0454624764739801 0.00984412996206148 0.0100657619220929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0280783659341429 0.0143852905027148 0.0012616288693503 0.00111657034022207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0229399423438462 0.011355409551855 0.00103343025773217 0.00075328556376464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0302066865906965 0.0142584171779457 0.00224773320237873 0.00203819982024375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.139628886571525 0.0782146312868765 2.55293969628283 0.919384311753855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0713489943709986 0.0408746195361559 0.517016933456459 0.228713565866916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0653252457766497 0.0360604769680734 0.219567612728384 0.0916064478404534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0710940505715789 0.0372871464277854 0.118535019443981 0.0449722549178559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.160539523850166 0.107482774159308 2.55411195973327 0.931715692234874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0799823506498075 0.0509413489331609 0.524421196810876 0.229832736438999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.070788565970728 0.0412232188781804 0.220653082121598 0.0920175607087284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0758959791002817 0.0405006814405015 0.130449983278255 0.0455489911773729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.37810691565584 0.28969683694161 6.708492468431 3.02010837370655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.226432313886005 0.140570117665072 1.62814587888826 0.664388105532364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.208188157531801 0.104581317192639 0.80350249257836 0.24225831598962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.217030506584629 0.0902165439233049 0.581190760805878 0.144874868580742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.547535725857941 0.510556016576469 8.33609629911343 6.46384649199424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.3104887673045 0.267785687890508 2.18278367361491 1.52058854204137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.281073243020609 0.211283972925969 1.23019817446779 0.675573868954852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.284555687618033 0.183470592445404 0.91061609675763 0.424012280952863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.105384557653818 0.0800476193505277 0.0188871644095336 0.0496365722656951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0392804901528434 0.0257147706089496 0.0092372996466244 0.00275346820434251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0323528098941223 0.0170533234680351 0.00668848171100418 0.00151679804859703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0386869227215817 0.0182679857313042 0.013330315851526 0.0119600606137083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.208037699661271 0.151342243820421 2.70237272440066 1.00394634105307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.112209470314444 0.0608090361718921 0.650312400962011 0.195034392563365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.102574517318843 0.040838798227781 0.314829751276314 0.05549281063103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.108934274705623 0.0338182561365558 0.213382333188761 0.020128999555268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.350534943594991 0.270409388383235 5.20582814036784 1.16462729657823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.178356541164393 0.107186456762053 1.2197726347261 0.202128827981126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.159327141425076 0.0760191348795272 0.689624048779712 0.0929155787770494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.162266110425138 0.0662497364272144 0.475352602192169 0.0860479020519108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 1.10855511174076 1.11586311201549 19.3112166423018 16.1856751985183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.604479490469791 0.64053909165228 4.75534344248412 4.06451579792097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.544677892681735 0.541706384085591 2.91976977876229 2.17858173240184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.507514917581333 0.483937528247247 1.93435118610057 1.45884408948842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.23078779413798 2.11334288969523 52.956365008948 34.8763844302457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.36424933124335 1.27262370083416 15.290474686688 9.85877061475022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 1.14345670638346 1.03683930149096 8.56719595028721 5.30516231724267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 1.00339621531844 0.849340290254458 5.63159779246021 3.03825784103277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.044183564361061 0.039933467915868 0.00334808563756837 0.00650191808912951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0150377738764314 0.0133836419122482 0.000372791623108566 0.000753502382806662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0114059020225167 0.00947306172077762 0.000157883906191145 0.000417887279456669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0145357518891933 0.0116362178947647 0.000330470120391743 0.000735624252758698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.047597394934846 0.043534828754125 0.00414001692374087 0.00746856453456239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0161694314434782 0.0148255289439937 0.00045311691747299 0.000874722586286831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0120131445177897 0.0102366473019026 0.000180155367830303 0.000460316096492178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0148188884567578 0.0119024105144517 0.000342396414919718 0.000754112645401523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0572129077802874 0.053525429711351 0.00658516843636632 0.0104039252854376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0192887116100173 0.0182405581987745 0.000722021423164314 0.00122688612328898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.013796785814014 0.0120658872562646 0.0027534330247758 0.000670070996240282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0156133663592517 0.0130058287865162 0.00038418197905074 0.00259437369485214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.085037539995824 0.081100431085031 0.0173553562051341 0.0211169653155131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0285974648180534 0.0277492386070177 0.00486593235874831 0.00293239272495128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.018299026584969 0.0180774442739258 0.00291347107242875 0.0240930926215582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0181728300503279 0.0159100381700958 0.00175280970546893 0.00304345514939672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.244582778296226 0.221582213495671 0.939904275934486 0.147742563917737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0935886190182433 0.0794217253582712 0.196491968488913 0.0350249893873181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.066497041540148 0.0515644138841264 0.135663191413007 0.0796781939356009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0542561919897473 0.0391054459252865 0.0834525051063286 0.0588639184664986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.413253135326513 0.4540555591376 1.92535750494877 4.53435884417986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.169785877362428 0.211121995726149 0.411581151405079 1.0987097850155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.133294031275034 0.155292374305704 0.320010614385223 0.561723874328122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.114461808352111 0.126671253770561 0.208528454343329 0.321407794601912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0740262074076219 0.0700871086127253 0.0123794502397698 0.0163846309663109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0247008385443109 0.0239017873867828 0.00130188889406553 0.00692594691280995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0164360417869148 0.015835151681776 0.00170580165914442 0.0172874067144236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0171341639632957 0.0143822692713333 0.00142504297894775 0.00106791314192741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.128944120146738 0.122147724078986 0.117900718001318 0.142373929172341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.042737130271656 0.0416750165948948 0.00479868824719638 0.0375878649960814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0271060930586646 0.0248500355773502 0.0137207553487749 0.0159032987102647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0237560006600913 0.0206572700790497 0.0129259272760443 0.0149567688515932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.262934310707593 0.291695853928607 0.965118941660483 2.99325152243215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.103672997407957 0.136703769759468 0.290664069285433 0.750115227106592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0739303739791935 0.103495866040766 0.148015713388756 0.368303655895467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.064127358927093 0.0855368440309103 0.0853918906214566 0.188228147997177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.989807362773142 1.15794498400371 13.791980843903 20.2013096793246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.493489144859546 0.66791193445233 3.39055698795244 5.70224822701179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.411356490185975 0.541795274796961 1.90265302838777 2.72691635803323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.374780289845179 0.460999244087114 1.21246070802216 1.56715693818938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 2.10552014177729 2.28447768688503 52.7087265815292 46.8140738617163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.22617874042874 1.38204799264982 14.4249536905637 12.8394952540659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.985942632072148 1.10390069696213 7.18094552201913 6.03169602821111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.876405087018373 0.949411726012958 4.60672808406645 3.69147973736622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.176922766111707 0.171374557332492 0.0706217825731198 0.171340438945633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.424658626560534 0.425078841407938 0.263747595464701 0.925312895745621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.659419770659348 0.664840538516532 0.576242008517429 2.13160314113733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.784861234447618 0.798645230011298 0.864485353700884 2.83795599929159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.176854887009038 0.171437070502734 0.0706292148152497 0.171348865184545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.424512730773181 0.424939720852262 0.26326672508176 0.925074934598356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.659546877659949 0.664703430030782 0.576202807166854 2.13131960489462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.784980245131487 0.798790003777568 0.864942006570717 2.83830554464909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.176830181111673 0.171481897395203 0.0706133606136768 0.171382368842261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.424377047383768 0.42484658082935 0.262704484711614 0.924579306728555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.659364512617317 0.664744914124882 0.57565639906746 2.13132378984948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.785029786922387 0.799008296315654 0.8652045692281 2.84042292403885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.176770225825657 0.171068244126238 0.0705617854980758 0.170422845584155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.423612839117122 0.424975290957436 0.261297006835465 0.924671501273791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.659006647529846 0.664660163964245 0.574584225816248 2.13044025189544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.785169924702947 0.79899064163181 0.86550660710953 2.84029155693128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.178236791401233 0.173176567947977 0.0712380109557445 0.172517208929604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.424914055605985 0.424821635976944 0.262445118849768 0.922633127781937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.659404496982142 0.664651010808268 0.574087864894112 2.1286035205958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.786314777190638 0.798766142381926 0.866981154372774 2.8412258916362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.180826813181465 0.177399893518255 0.0728694610306499 0.176975612229268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.426444151807627 0.427275295451714 0.263555231830569 0.931991583172938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.65859639336431 0.665002007925467 0.573004503462564 2.13095060321647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.786372828387022 0.798659756286561 0.867947112945803 2.8418208360494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.177098395249825 0.1714554605029 0.0706642200669444 0.171242810915219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.424509898230739 0.425243599268879 0.263169906362639 0.926478229666011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.659092082343794 0.66474482384773 0.575850508402049 2.13142686123557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.784495357227629 0.799151059412121 0.863185806342036 2.83966987627885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.17760179408266 0.171337679878751 0.0709375980159892 0.170620642815976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.424953991439866 0.425490274026857 0.264095161450106 0.927637909208563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.658962480131545 0.664613459627834 0.575809097463896 2.13061486915209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.78433770832173 0.799087627313294 0.862375574988617 2.83984802130318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.179341327995935 0.17335588361126 0.0717117106646798 0.172390760039699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.425383300481528 0.426183277277213 0.265265676080557 0.929860192281054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.658305802406886 0.66501117288856 0.574992733584834 2.13241431937077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.784175254340261 0.799062565280036 0.862395577177378 2.83955379852858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.196772947225059 0.190699174558824 0.0823028302153149 0.19080459492239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.432658247221596 0.430930619276896 0.27179208353091 0.94299267817767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.657639732337742 0.665944989787206 0.578390761547324 2.13194983018819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.782457373860075 0.797119237685532 0.860482541337685 2.82976471269404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.223973944536114 0.221413199677821 0.104260280210085 0.23751181359209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.446717823032403 0.444395555270551 0.291604254050205 0.979776832222345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.65809877022907 0.669556926679294 0.585144981524441 2.13769795583964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.779874389877482 0.794781184018915 0.858375917172352 2.81237265608722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.221228420853411 0.169299700479648 0.386906658371706 0.160718361676282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.384562292776397 0.318216323362509 0.84583791880049 0.498587314309757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.481377674293215 0.397417375682226 1.07652147228052 0.852239031794655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.506837293592199 0.415088199302125 1.12183238691919 1.17158039189067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.221195741605563 0.169211477913762 0.386963100000216 0.160640922951226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.384562866492146 0.317999610762537 0.845844016480161 0.498298500154882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.481271818513303 0.397438156155187 1.07639140538157 0.8524492889247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.506376285482023 0.415361219333767 1.12193605149525 1.17250805783283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.221199470124208 0.169318883191211 0.387098757486976 0.16073974231035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.384487864726336 0.317592632998695 0.846137753813415 0.497967413728831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.481125981703014 0.397380709480856 1.07626793929564 0.852374144659683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.506216645715592 0.415308206962763 1.12199497462688 1.17241492186581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.221274307847536 0.170832797818994 0.387299562436196 0.162837255086561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.384527134545339 0.317988513298792 0.846144124742401 0.498138335929184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.481038837431774 0.397317486055687 1.07593345482031 0.852449323183728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.505847886160288 0.415438380046008 1.12203043189301 1.17294819022902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.223375734203715 0.173411422875618 0.389274314332891 0.164775365488603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.385261162717366 0.318154051918247 0.846488731642681 0.498769006462526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.481533022678665 0.397345440313404 1.07609433048174 0.854717010471459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.505783874849879 0.415582499524486 1.12217069449169 1.17428323051136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.227054280388446 0.177435174775647 0.39245841870852 0.16831493048716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.386212425337465 0.318516853105298 0.846516656180066 0.500033921459802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.481579940742913 0.397191305515265 1.07604347494811 0.855584037828666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.506795145938749 0.416136371053698 1.12334791036083 1.17652799157173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.221371169506607 0.169700328439762 0.386688478149332 0.160913757182899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.384538463380451 0.317093515339975 0.846625400141703 0.496718755179543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.481075749769094 0.397527654280493 1.07625185379217 0.852902871287256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.506599051822946 0.415052035030013 1.12195578227532 1.17162884989225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.221877752825904 0.171262968110245 0.385394394623285 0.162107368998811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.384373148545535 0.317335001646465 0.846833316946788 0.496887488374682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.480795401024105 0.397739046797549 1.07750777649235 0.853915273637307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.506527368697384 0.415193247074636 1.12189026199131 1.17208084713225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.223629985644142 0.174447483820018 0.385616693655047 0.164244544119649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.384042311609032 0.318395039914257 0.847355104440035 0.497409678708138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.480672644971832 0.398045957992788 1.07677212731392 0.85507811545648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.506764518719825 0.416236137532228 1.12077879644427 1.17563549462157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.237633829364896 0.194046157500941 0.394093405876622 0.181084676770619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.389832946846957 0.326158943512128 0.858231184844976 0.511405913510972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.480967625644073 0.400621723376061 1.07963567556187 0.869851959296091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.508788565434995 0.418038747794262 1.1222104181577 1.18693406575603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.259496209515008 0.221773628652219 0.41757307854378 0.211479095821466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.400298378486245 0.336926830294864 0.88028717050936 0.537802137782385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.487304557197875 0.404154151445026 1.08630547365165 0.886013159055802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.516370608130424 0.422432884405679 1.12548362380024 1.20732426699811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.165519261594146 0.173079180531986 0.0636239325185286 0.152687512453125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.416651585154096 0.431727535021119 0.276455418787585 0.927471271480194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.708699405597116 0.719490074307091 0.708221759815645 2.3886101542197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.868413344629386 0.87891151349487 1.09130526919547 3.24641310049067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.165447532633931 0.173034598076608 0.0635610993868263 0.152565022842313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.416563935343512 0.431596501278791 0.276073727708835 0.927153844588035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.708793694116085 0.719575325549992 0.708522579974918 2.38923249689018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.868390504418172 0.878733664265137 1.09129793059438 3.24623134527534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.165388485895643 0.173013735873574 0.0635158409184878 0.152471342238021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.41649561749152 0.43166580012411 0.275771391569235 0.927313715851216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.708837443033167 0.719566265810661 0.708451956813762 2.38927136169046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.868277405474849 0.879018516570315 1.09099100896975 3.24846973945331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.165327347804834 0.173072442015872 0.0633931903639008 0.152426549099937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.416505597547346 0.431319682784589 0.275738345926933 0.926881252935484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.70859952844805 0.719577460567546 0.708612482722986 2.39018398625291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.867793742131776 0.879101307675521 1.090609613502 3.24957780407148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.16670404386223 0.174450571151988 0.0633708714704788 0.153442875516052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.416933644681461 0.43165204167851 0.276506862949265 0.928309454748775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.708744679633402 0.719871182243087 0.708606107777324 2.39214848570886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.867785130712511 0.879976696695217 1.09033825262389 3.25623493632959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.170017041307108 0.177287526644881 0.0647182692772025 0.155990716727432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.418388828422751 0.432878562261994 0.27813539955646 0.933541793114545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.709009967687482 0.720463771477819 0.709129045155589 2.39782989312473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.866968969471894 0.88033285544647 1.08968288316897 3.25794128252125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.165562936486174 0.17332396864474 0.0636237953628639 0.152908691863675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.416926998786844 0.431913507322882 0.276588287150843 0.927710630484026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.708699672562473 0.719441172606791 0.708267401716578 2.3888566192556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.868442936221503 0.878796452429874 1.09076359980823 3.24616561542397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.165735361915039 0.172515167436253 0.0636117513763752 0.150214045883194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.417065979600837 0.432296841168568 0.276882845215465 0.929000061649145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.708675942900436 0.719617754535003 0.708492932907321 2.39006931488509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.868029590410363 0.878989848035475 1.08979143821934 3.24528429517389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.167382165056053 0.174010602659638 0.0642012747924189 0.151617989434992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.417198456842332 0.4333703151405 0.276977601539928 0.931618669798927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.708864481728782 0.719540901284968 0.708383166392206 2.39137656238188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.867883973597303 0.878531528275977 1.09054399041667 3.24151280458101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.18656484616152 0.189113551387579 0.0765242094420559 0.166592850184299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.423945042838198 0.440635466375712 0.282920290369561 0.953961001128826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.711792893010711 0.720951934699184 0.715174229296509 2.39662243369121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.866677769475818 0.877345975842614 1.08926759962768 3.23059624854311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.214936271765281 0.217114697644558 0.0958134838836619 0.204319594687622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.433816340376418 0.453082240951865 0.294964026269609 0.996830833746646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.714536433941215 0.72314073242817 0.722190457752082 2.40295721515306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.864711538700282 0.875060729717007 1.08845811870969 3.20859016902859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.039800466219207 0.0408524967375369 0.00413817603800874 0.00707512694559094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0726178798887155 0.075607896912468 0.012805514038542 0.0257732084328147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.121757394857748 0.12734243469258 0.0308479375446435 0.0711671682071466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.166752623733376 0.177487148895186 0.0516752227817513 0.136960332524164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.03982259550059 0.0408295304461114 0.00413582109605826 0.00708162680316508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0728577894103825 0.0756710385303752 0.0129118846170705 0.0257964878745089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.121778705943722 0.127309381027884 0.0308490812021229 0.0711358737356456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.16678670354581 0.177480909611441 0.0516985604540334 0.136966386323592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.039918652429375 0.040948198247154 0.00414303174728463 0.00711562556282197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.072877758091362 0.0757626992498532 0.012921793175911 0.0258246690682196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.12181933574731 0.127296430049849 0.0308664832761016 0.0711166954718396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.166818184437353 0.177403246350923 0.0517340571484369 0.136923432718688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0404051420914941 0.0414713430455695 0.00420419261689907 0.00726027693396918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0732568245735042 0.0759381749338644 0.0132374424979587 0.0258925293157867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.121877740452788 0.127246928643403 0.0309062132772055 0.0710544055314902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.166831258046904 0.177407199946288 0.0517837068839138 0.136942352106179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0448876753021978 0.0456680369444238 0.00485104665049549 0.00840542078844774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0745589431110997 0.0767868463748219 0.0140096429415182 0.0262558814818361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.12240543168716 0.12732498624394 0.0312180903527149 0.0711583582147153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.167278984313557 0.177567214722001 0.0521107408765398 0.137099696981602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0517301071197672 0.0527839245079281 0.00622268372458849 0.0106676407055548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0761664055404165 0.0781385176952741 0.0148586703578531 0.0269411969474638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.123319294308985 0.127813253993636 0.0316993229584287 0.0717092990969206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.167950755530173 0.177581175911925 0.0525144135088692 0.137176435737973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0403696378914746 0.041159875654521 0.00420682471766637 0.00718069151217393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0729361036310536 0.0755870062196112 0.0129265907324886 0.0257610800526694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.12165120914034 0.127509320929926 0.0307781359920536 0.071294438883203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.166800379686525 0.177448135172042 0.0517361960530687 0.136949654478099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0417846741433559 0.0425269307809415 0.00440249964963753 0.00752047960124838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0731441881659277 0.075620888988591 0.0130647184771453 0.0257848419425033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.121814386003743 0.127555629204637 0.0308232349753951 0.0713344804043764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.166780988774915 0.177535618329399 0.0518066895524267 0.137107914827969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.046217253718141 0.046927289649697 0.00514823608946584 0.00868909460387675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0742255681923 0.0759332372065544 0.0134425604234023 0.0259321487838557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.122328492712394 0.128074249743683 0.0310510343493818 0.0718024034984259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.167077514861249 0.177913397826125 0.0520478275786468 0.137695118843605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0730303869551444 0.0761168901178922 0.0127765228649099 0.0193452757767243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0816184484161835 0.0820196200858345 0.0166160608059341 0.0292977332112933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.127705016611128 0.132030176049939 0.0339310145624655 0.0759777336766485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.170010814649291 0.180917163732295 0.054032724713163 0.141577507191093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.10796004126224 0.111166870086858 0.0341601620316688 0.0383062786528684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0943304146282533 0.0927807518826375 0.0248801773718021 0.0367851568131398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.135397168349836 0.137809727589083 0.0387893110494585 0.081707252723661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.174522965331998 0.186594698879647 0.0576096057746157 0.14918722984367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0791672492288702 0.0758977713437898 0.0282523181036764 0.0336697947925894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.158196454712257 0.15973340005014 0.106684272939311 0.172745456483958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.260563038118447 0.25713569140053 0.220539470723593 0.431213991773565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.349039064426398 0.342530069249302 0.314294728532239 0.716760255080868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0792154321512437 0.0758874507026174 0.0282702876953981 0.0336377869256544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.158223737091109 0.159793887714461 0.106688046360554 0.172812866705462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.260693022240446 0.257146452872592 0.2205238676352 0.431220593636093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.349018353727251 0.342585107696556 0.314217000123894 0.716933015598854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0793095862437713 0.0759336834828336 0.0282888129414626 0.0336163154444416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.158293305400474 0.159697231941629 0.106679121546113 0.172667560316514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.260791784572299 0.257180533351128 0.220558215704635 0.431202315978269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.349005081144963 0.342667311748994 0.314149644215679 0.717136228052233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.079835893984987 0.0763316417904645 0.0283992737217586 0.0336771120097088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.158526387312865 0.159835466188211 0.106766814481479 0.172803796411109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.26095501291951 0.257357045851542 0.220565098203889 0.431510274937021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.349111847745599 0.342870634166046 0.314067956590417 0.717660857144884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0837548889648286 0.0798712757075172 0.0292748362827551 0.034978562475252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.160070034100485 0.160779146934507 0.10749656688016 0.17362734117909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.262249778742539 0.258334186682362 0.220794608971636 0.43335286272328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.349782185654844 0.343753640575665 0.313978526595119 0.719775591340926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0896665091000691 0.085531435496673 0.0308365869573271 0.0374387948421719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.161670996546962 0.162758153719557 0.107827318431427 0.176209824686666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.264319789805017 0.260011240754834 0.221372496100607 0.436603044799233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.3510092072872 0.345026289421497 0.314264677432346 0.723080240662519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0792951643732833 0.076078962201104 0.0282286553859745 0.0336290939740982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.158659923281414 0.160013535752047 0.106940316516946 0.173306683994157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.260839784540003 0.257293591399892 0.220810745879826 0.431333414278567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.3491760374442 0.342700102523213 0.314319996212657 0.716923466212391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0803454040433354 0.077156692502632 0.0284010847165287 0.0339428590092054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.159519611639853 0.160305503386001 0.107631688854259 0.173774309375965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.261366518825216 0.257595664796976 0.221117066388129 0.431795282751208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.349353965962825 0.342844777124426 0.314492590309063 0.717179575574584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0840195384639092 0.0807249151325908 0.0293140839231929 0.0352478218223916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.161188922028845 0.161565504654283 0.108637791495635 0.17553362542349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.26305906451216 0.258428861806592 0.221856839850714 0.433350651376792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.35035182592665 0.343208581684102 0.314865667585583 0.717908518585252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.108242285888027 0.106038288200479 0.0384345932067095 0.0491669751002821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.170834417485224 0.17135240838151 0.115591446004364 0.190055667020634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.271685871635351 0.265508588875563 0.226983995664899 0.44901837587154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.357581195471548 0.346592613656081 0.318849553009012 0.724540089231512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.138272519431634 0.137364476370047 0.056752889747703 0.0746469135763406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.185083518729128 0.186575082189264 0.12765163404742 0.213917931655938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.282250226528102 0.275552919942069 0.236143635715877 0.470785845655709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.365981708374846 0.353175051458674 0.323392160194421 0.741392901562273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.48085178780739 0.525784568539536 1.39650732866259 2.27343958930478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.758403307511366 0.769492823129953 2.31650443358117 4.29214552592143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.845119893870061 0.841143601633868 2.37810470537318 5.33276839016676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.970321822021687 0.949616734353839 2.44282562759739 6.33536996649489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.480878837086297 0.525902085607456 1.39651640841148 2.27360115674961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.758422251208585 0.769545001774573 2.31635324800512 4.29264327186337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.844997279080524 0.841285917633124 2.37815748143782 5.33341666458228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.970258254510148 0.949540022706389 2.44271159077456 6.33493406646981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.480950638673002 0.526124779299879 1.39663924698414 2.27461262415244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.758420141095178 0.769736924468657 2.31634313837937 4.29410748832618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.845115271153188 0.841533962915772 2.37830700605758 5.33553467872779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.970535135384964 0.949748451489891 2.44328277874577 6.33712152709848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.48110733431761 0.525861859611859 1.39701794305894 2.27415620728122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.75893746260276 0.770241312861115 2.31657747334408 4.29682641657853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.845205267206408 0.841441310181011 2.37801736831967 5.33484017762746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.970521239545383 0.949578957948909 2.44309190835923 6.33612771368994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.48231860148993 0.526461361964484 1.39871252331781 2.27882062846628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.760175237887497 0.77171324744255 2.31726907905636 4.30693062014571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.846286134512018 0.841302293588486 2.37955001711145 5.33447994119775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.971334939690967 0.949259824829833 2.44544092851468 6.33506886327531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.484867698986237 0.528832540116515 1.40464751431543 2.28665848555182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.762200438858175 0.772553604687968 2.32509280706509 4.31056398738803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.848604621588955 0.841792195618848 2.39048470239744 5.33854376874537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.974408529648521 0.949811987899913 2.45930109604907 6.33985766632957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.480845469630463 0.525469024582901 1.39561854656519 2.27206729934625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.758704440418948 0.769137917008513 2.31666814457387 4.28943925371061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.844794913948792 0.840793703326067 2.37764934378579 5.32909418532356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.96987221019752 0.949187231247744 2.44226103600645 6.33004084644348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.481131672957412 0.52530726392597 1.39563607124583 2.27182106858115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.758872870148187 0.769736276857308 2.31711928912159 4.29294361066535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.845502866370023 0.840845780971947 2.3777224153711 5.32991624597579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.970041862434035 0.949401101879486 2.44198339495341 6.33231338229599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.481892190227358 0.526210849499587 1.39556354361721 2.27529944333161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.759438294787685 0.770855905961747 2.31718511215533 4.30140537819628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.846488862763866 0.841208394390853 2.37772098836051 5.33401136911014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.970574494466891 0.950243693135765 2.44156991490251 6.33918772422434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.490906714124627 0.532896474814906 1.40638983041099 2.31120930152245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.763800124360025 0.773741790817295 2.319849723496 4.32745497679347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.852467040651643 0.845190501010332 2.38090048972304 5.36340802068271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.975133755120063 0.953320893300981 2.44473386544542 6.36409709329006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.515267558905751 0.552136098174964 1.49731913054382 2.38359873519171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.78015922799339 0.774082593318821 2.34925245143953 4.3332600979327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.870909134293642 0.842543066869765 2.39238718838023 5.34599554795299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.99214962310816 0.952334717095425 2.45309804645583 6.35719502874224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0105695232571625 0.00956479056338977 0.000554064623090073 0.000384727014811802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0189499539080763 0.0176165284954239 0.00065338746653584 0.00140765265268746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0374057959927758 0.0350654363820097 0.00202327507491348 0.00531658314998175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0580394555742441 0.0556047286154921 0.00436766539998992 0.0128177615433533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0106849774118054 0.00971937435492144 0.000560652880496779 0.000410088321594003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0188592844947816 0.0176562493953349 0.000644650225765738 0.00141161372101777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0372929475626334 0.035067152757859 0.00200377447792688 0.00531247413335807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0579855455604894 0.0556428749730539 0.00436691317405043 0.0128254372808076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0110455526180394 0.0100853726978364 0.000576823506337489 0.000446896364664931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0187861588923333 0.0177859508199359 0.000638077933305986 0.00142434248589244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0372626437698427 0.0350972522452657 0.00199781552082497 0.00531220364413362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0579428275367379 0.0557761151193287 0.00436835148963926 0.0128544355944915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0121164548166444 0.0112750088114225 0.000635364616575445 0.00055765289653515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0188552341410108 0.0181504804576664 0.000633144384867802 0.00146622337460256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0372574804181076 0.0352126193517491 0.00199267460126223 0.00532975207715358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0578433597969297 0.0559335326327979 0.00435441727556052 0.0128873374469483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0201629557656775 0.0191409537038035 0.00136063794438867 0.00143788769250462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0200040147390941 0.0207981066340658 0.000710226583772748 0.00184103957859949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0379139204890479 0.0369202811266433 0.00210429315076975 0.00563844918170317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0584002502122878 0.0570512075163797 0.00445387534629268 0.0131569294022945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0298807915441179 0.0287942400994236 0.00277573729457675 0.00309790765272115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0224338351737661 0.0243036501092209 0.000989600242492411 0.00249117030882263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.039409683001868 0.0389717960819818 0.00237672355529616 0.0061169495496215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0596332870947092 0.058408988367108 0.00472756056545483 0.0135685765180171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0115137558367335 0.010588918479888 0.000565979812457358 0.000475372731843448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0189518678371779 0.0180344600691127 0.000626993378241971 0.00145319140040807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0372173538945759 0.0351972933118213 0.00198179034653474 0.0053103886832162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0579081242681041 0.0554711918019301 0.00437199514866266 0.0127533072174664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0137552201880028 0.0132664893145598 0.000705344793768652 0.000694478577976448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0193128644560811 0.0186642439542173 0.000640511098854539 0.00153709530738828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0374518294813534 0.0355727325548438 0.00203211751320479 0.00535174914426377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0581718656145026 0.0554647219062157 0.00440969142756601 0.0127125103336936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0216629108006715 0.0206090377048602 0.00169710748209843 0.00148252574376137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0215178043474489 0.0206586140424061 0.000897408823816024 0.00186382820941354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0383851876510396 0.0364847574900291 0.00214905875028432 0.00549887910929207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.059323640850437 0.0558888456544292 0.00465053202912842 0.0127467692443375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0530761405590308 0.0564477932010777 0.00936419879294577 0.00899611627907057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0350927086741629 0.0344825115044189 0.00384162714344658 0.00541574043904841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0448333547470357 0.0426259881560758 0.00365585155887019 0.00736746788260648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0674089130193843 0.0595955930336845 0.00709630467993865 0.0137516657356822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0880083569472102 0.0953772208553309 0.0272861241859063 0.0271069957396043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0495827193402208 0.0484383286339216 0.00991576849860474 0.0108692378452605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0526698875933878 0.0503118075154927 0.00660589255021936 0.0105463564485699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0777833753240717 0.0662096728998528 0.0122433362449109 0.0167066194499173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.357809364183916 0.324903866453571 1.10373136961839 0.955588438818727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.584581427259306 0.566479806994466 1.6821773858093 2.39054190294355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.767227062480834 0.747423065907143 1.96495765689064 3.70397264342552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.873057545574424 0.849494714173904 2.17677482493776 4.35100652703987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.357855574226321 0.324829530550292 1.10396511296316 0.95545500012646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.584806965177141 0.566390871674799 1.68230536940617 2.39043996165234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.767284788180107 0.747372987203935 1.96495448376286 3.70354922539063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.873068182293872 0.849811586904054 2.17669301390259 4.35386494562511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.357889690681644 0.324814747443223 1.1041791335465 0.955459590608569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.584805612750984 0.566326964177851 1.68240213220397 2.39002570062029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.767079534599097 0.747383086112751 1.96489613243102 3.70354182687994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.873141037216363 0.849844203058998 2.17680425722915 4.35438777640425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.357899516919153 0.324910495809681 1.10463417996747 0.956036426046841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.585475903192049 0.565880470276405 1.68264362732364 2.38840677831023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.767123682975946 0.747143156284821 1.96495875510003 3.70215944211026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.873090727770524 0.849883865446055 2.17629229159107 4.35500097503265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.359386713674793 0.326188052063068 1.10220636205449 0.962023821667752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.586159157186296 0.56576786502136 1.68406771170169 2.38491137756433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.767860054075491 0.746776832063764 1.96653247253479 3.69894461139336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.873298445123833 0.850209573490219 2.17536069413064 4.35442305336255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.362537498701894 0.327920349828438 1.10719954472787 0.96353002823763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.586885716295994 0.56563499849118 1.68612211534996 2.38111002816321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.768663015670387 0.746188532097494 1.96677466778616 3.69073253335161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.873249042407653 0.849384032218437 2.1747190626986 4.3440688498311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.357775730216799 0.324664433244016 1.10454975594163 0.954023870113943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.58457722649043 0.566321179743333 1.68069400014141 2.38936303451499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.767052542814841 0.747377290389024 1.96517064027048 3.70325342921626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.872980002234003 0.849419334844294 2.17690697454588 4.35109816781553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.357944872868077 0.325295924545019 1.09779902770044 0.958799229917678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.584489745673707 0.56710978740216 1.68032691115756 2.39351469909077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.766764507248927 0.748216105246115 1.96434058330018 3.70930356711738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.872466564981982 0.850025781315577 2.17554920494053 4.35547784852278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.358865426524092 0.326911577034649 1.09687688587466 0.961383626661316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.584620116783453 0.56824537703875 1.68009272865137 2.39966737190187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.767481294776549 0.748748176168596 1.96479837517048 3.71111326789768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.87228947969063 0.85017137711699 2.17539890483817 4.35824666458685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.370240779699081 0.339372559067341 1.09950976190878 0.986950910553583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.590241871886115 0.574131882920308 1.68002807503044 2.4280687950531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.769382868875573 0.751987716546586 1.96852247772194 3.72671531852863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.872490781446034 0.853691883831256 2.17636290606391 4.3839890405357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.391628379766269 0.363628299281528 1.11906128279632 1.04303520774808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.602935194828578 0.58395464391085 1.69148872565867 2.47520278131393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.775798993078839 0.756964957163154 1.97856974194249 3.74962796870121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.874569414028103 0.857634262230492 2.17931880652675 4.4097888140255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.321043850687369 0.33854386444557 0.428354763638299 0.587508968082724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.53534880205677 0.558136126043576 0.958466023244961 1.83572963042242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.687903141060006 0.717682931106524 1.34690080055579 3.14991190241416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.772481407529987 0.816480171914837 1.69232864779678 3.84084826091734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.32098293462297 0.338418750495109 0.428236099273432 0.587317409863049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.53557883754285 0.558070375881896 0.959347158881432 1.83585756375707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.688004761353566 0.717974329627578 1.34761600233871 3.15108966645836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.772598241488543 0.816484966527735 1.69267333235485 3.84090232242422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.32092600494718 0.338556714975648 0.428131597815121 0.587534393376988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.536603859539095 0.558613516643929 0.960616669546565 1.83765894426379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.688128371198467 0.718043415148005 1.34798516432607 3.15157390750709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.772650454096059 0.816480941061977 1.69278271210679 3.84132677546416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.320846301576436 0.339160584338452 0.428067397362489 0.590152209469444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.536767471038413 0.558051632676528 0.961084306233405 1.83525032504525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.687817261935799 0.718331300244179 1.34763342849853 3.15297805153914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.772821384098877 0.81667682751433 1.69372559950327 3.84233854099532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.321462715104122 0.338652353609952 0.427724687833992 0.589208136306165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.537752577968594 0.558720085738891 0.964913014159095 1.84045471752529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.690315185931725 0.719270752256054 1.3511875578422 3.16265231195873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.773472274708324 0.817144212710679 1.69638980475932 3.84611563445601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.323569223600608 0.340858911932415 0.42978778426648 0.593561847199498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.539630856679243 0.560192072509446 0.96885687957752 1.84888623724465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.691503378400506 0.720574650426107 1.3546640680681 3.17339612902636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.773389496925586 0.817196810646359 1.69619801584682 3.84928601469936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.320971398377411 0.339809008863597 0.428300782448705 0.591650359825393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.535943518580423 0.557926493459053 0.95810817283235 1.83510369942834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.688049966737834 0.717560541791107 1.34613205571723 3.150089171352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.772569769029179 0.816322299847958 1.69269523122733 3.8389575076755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.321189818814414 0.340429309257645 0.428112928025305 0.593762012312581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.536539306990939 0.558402297057444 0.958603452572455 1.83806661280969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.688627427083221 0.717607872581478 1.34673061797566 3.15247456972806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.772809122032399 0.816207441320878 1.69408629770366 3.83964786977564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.322290572335868 0.34131814019745 0.42954108825251 0.592634749980117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.53823684741364 0.558138192654537 0.96487867557733 1.83923937783154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.690015092725289 0.71794168100947 1.3514692972505 3.15739468031658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.774609199926888 0.815466676356578 1.69709652417812 3.83786448749606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.332462465953509 0.352186599180099 0.43886505689427 0.618334074519127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.543161739373947 0.565048460180119 0.958725171436312 1.8831596799385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.691144575951679 0.720631554051779 1.34082887365037 3.18201280992026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.775391939332543 0.814140082943475 1.68993277735439 3.83798867595012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.352907537963007 0.373648603858152 0.460731750348564 0.672256633391584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.555733890550529 0.576596469641325 0.966515539962873 1.94143854629926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.697849032010585 0.728829809975751 1.34180934320334 3.25073817588358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.778241933458222 0.818176061501014 1.6860027625622 3.88116205192956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0121585191094899 0.0111556486285787 0.000532188180905898 0.00079993040949078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.033273428270547 0.0317648457416218 0.00228246542564242 0.00594345523955999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0610363182782757 0.0590503419503031 0.00526519117789156 0.0182051901154403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.084021211657714 0.0832404741712311 0.00886774681958735 0.0343257786877821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0123212713192579 0.0113554073472601 0.000532924742680318 0.000820236699883439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0332957831863604 0.0317882237728524 0.00228462264947624 0.0059462777128148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0610480282134067 0.0590138940077359 0.00526385013499351 0.0181953206346036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0839710955939145 0.0832565910898644 0.00886492212124645 0.0343430195483449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0127952855129309 0.011826282906423 0.000546609093355418 0.000858186547133831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0334166052060668 0.0318660180730826 0.00229589694456603 0.00595623144449035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0610135066698633 0.0590063128027692 0.00526847873618501 0.0181896588707713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.083901742620686 0.0832802167666493 0.00886283812769807 0.0343569827796425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0142482286128027 0.0133079604608961 0.000613533827547582 0.000985377215424929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0337763862140484 0.0321668416960943 0.00232188427359153 0.00601324865155197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0610626866784152 0.0591893385918499 0.0052854684922073 0.0182359482035135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0838163666186971 0.0833325731690046 0.00887247852225965 0.0343847426051659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0224666688769723 0.0215111952233457 0.0013610780847913 0.00193618557784153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0364160253878986 0.0342593133244127 0.00269485109971812 0.00641237775945061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0619561003557557 0.0602016837227215 0.00546710561447275 0.0185171622845192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0837785157125474 0.0840076379211703 0.00897658370364997 0.0346194708002152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0322651775439337 0.0309862479197377 0.00303653742007839 0.00352137517662863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0392939187011959 0.0372067082926065 0.00327773195420057 0.00716246355685479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0637045377474582 0.0618370816795639 0.00591399190873317 0.0190400946355983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0844582210575927 0.0850665032083779 0.00925664541448621 0.0349698372595398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0136051161518043 0.0121830733276593 0.000595939016971486 0.000832421220142697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.033533620861725 0.0318772802326884 0.00229692468880226 0.00595528690707739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0611634584814041 0.0591087856762699 0.00527308379938301 0.0182243069053489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0840823881432555 0.0832245148466388 0.00887580947338835 0.0343545888416611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0164655604015383 0.0150327108820062 0.000808744825532394 0.0010621713957734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0342759830991572 0.0325068398440764 0.00236556243175418 0.00607255753192045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0614317591223294 0.0593626505292589 0.00531493890668287 0.018295393480335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0841069175361444 0.0833761983546173 0.00890205335887719 0.0344092172266304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0239052224678781 0.022270049069454 0.00178132535771127 0.00190894496345585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0361760009166198 0.034416082241545 0.00264141287273429 0.00648261690780107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0624906295522815 0.0600777205242253 0.00550523320596399 0.0184887541721729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0843595423612703 0.0837083686738741 0.00903580331366845 0.0344544605468792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0561577013057215 0.0547993852372187 0.011535560764676 0.00907695475056547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0485772577561213 0.0453523138498765 0.00703093633513293 0.0101165757605025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0702390062501328 0.0655875482454057 0.00811279707452525 0.0203883507584853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0891720175710213 0.0863208876167649 0.0108975413310264 0.035208694382476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0932626534569693 0.0924208916290938 0.0376305987975111 0.025931800096303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0652041375880432 0.0602942128828465 0.0181451444341546 0.0178056503240447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0814044418375946 0.0759032791828676 0.0153388556557199 0.0254528557934024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0965854242170142 0.0931534954113356 0.0155934543742031 0.0384210569141049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0626368820585562 0.0641774199646387 0.0111679965305832 0.0177614776000825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0833566987367741 0.0918839027443688 0.033616632156669 0.0464968416274901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.132043669266968 0.153220093069942 0.0765353304468167 0.134803076319364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.197933316301663 0.232485230043774 0.134055894257517 0.296846919682356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0628439744892428 0.0645164294045406 0.0112316864820117 0.0178878749843518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0835190429071373 0.0920966753184388 0.0337219309380423 0.0466553521846465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.131947879073545 0.15326298742256 0.0763854046685755 0.134863795530958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.197863453559152 0.232608699660615 0.134034688262899 0.297042475259762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0634615162206683 0.0652891127447029 0.011379507931267 0.0181082119135717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0837803913368322 0.0923862664560793 0.033652599570639 0.0469332381744538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.132200882683472 0.153547307803002 0.0765374183125972 0.135128658050212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.197932510059667 0.23281826134472 0.134111703597439 0.297378472950107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0659547032863397 0.0680467955375743 0.0120389829183869 0.0189957489928557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0850948534659442 0.093784895019078 0.03421684489349 0.0479686907708393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.132922071180026 0.154606312370847 0.0768696276218178 0.136184644461184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.198077057118138 0.2335050797759 0.134286569738473 0.298317552901272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0856823554475508 0.0884950651598323 0.0186820974942342 0.0279098912778462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0961824539291938 0.105551391805915 0.0399200969404389 0.0574563536890029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.139987816216498 0.16302240255918 0.0805492971558035 0.144407330695239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.201646214138169 0.238327110865953 0.136467491464216 0.305096829800786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.112551280554271 0.115868695674533 0.0316088870597286 0.0431100551921047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.111434683774405 0.12173385060754 0.050759121365587 0.0734493408121649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.151081251072467 0.174422645972986 0.088096331681236 0.157349242619101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.208832283709594 0.245821391368283 0.141292198347468 0.315986638358026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.065012393431911 0.0666741968801445 0.0117222632174101 0.0185607129302699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0847025832311636 0.0934469409737256 0.0341284410783633 0.0476256449133966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.133137163234807 0.154436139192586 0.076975701210621 0.136159416279136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.198436597378608 0.233303182880318 0.134308428032816 0.298267190654741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0711692173055829 0.0729372781833949 0.0133308759187113 0.0211830991876637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0882141338493958 0.0971716013341153 0.0356043153050851 0.0503738549709528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.135676839745191 0.157024627084897 0.0782399334485873 0.138618595181616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.199546393061942 0.23504685632813 0.134817525420559 0.300791222279466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0891657931405765 0.0905216444435751 0.0196034940890804 0.0288472772161656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0988165588802736 0.107673907694322 0.0415255538447159 0.058664237145978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.142855408461606 0.164028216259269 0.0824418774451411 0.145898885611076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.203677832082989 0.23989299642476 0.137125574010732 0.308213410275919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.187212190432293 0.187894355903797 0.0922178850773876 0.101809967663266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.156416074927225 0.165000638359664 0.101984121952369 0.128613512703322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.186393194503986 0.204944815219041 0.127114232474703 0.202850954508113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.235482408525211 0.271165415515777 0.165679434029552 0.360543514698578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.298683845282148 0.299904256819819 0.267801209332012 0.250056916380356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.223617502164954 0.234261878741591 0.228790778143752 0.259477392754154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.239784545668944 0.257633656756762 0.220650920405067 0.303339497728379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.280502955994097 0.314806319005107 0.232058373725838 0.450322486759964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.0615619858428133 0.0509072646725598 0.0234199504906836 0.0191902869201236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.10338352196825 0.0881024204068407 0.086593187317865 0.0434702005318302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.15522455487832 0.13433647413936 0.182526131225527 0.0926806735848336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.214599300249798 0.187857854933291 0.300723397662561 0.175211173013064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0620062806219018 0.0512123165006969 0.0235829112393607 0.019185025705539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.103558736898724 0.0880901170734658 0.0866313308269673 0.0434418117878891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.155452579001681 0.13423724029671 0.182700154745305 0.0926557863790251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.21488023203773 0.187849568051591 0.301024516805895 0.175218109839765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0631317158456945 0.0523688423730151 0.0239007541733226 0.0193503292757848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.104080098400486 0.0882138040154572 0.086983224540536 0.0433577301860137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.155756874905209 0.134215996213232 0.183132850351912 0.0926834179708273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.215140529333562 0.187889947003294 0.301212409503527 0.17526469460755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0666199023261776 0.0562687557616196 0.0248769334606928 0.0200674633245686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.105905741181378 0.0892768736138169 0.0879842391201538 0.0436806230602614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.15657533245166 0.134326898156117 0.183621625971972 0.092750027840819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.215974259113735 0.188286337956865 0.301913772063612 0.175547596244384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0895007342394264 0.081170107695447 0.0333805223409861 0.0273976439445088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.117841866803302 0.0975241808796332 0.0957228657915741 0.0472529540945301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.162798426015307 0.137322493428577 0.18809701167593 0.0947603247316288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.221895869346814 0.191158528897508 0.306726392135483 0.177509357972285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.118058588305809 0.11132995293689 0.0483006570677544 0.0416170325662341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.132682197051972 0.110908306686326 0.10896836091147 0.0568539940181308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.171718722020831 0.144067739477226 0.196109515970272 0.0997472228661433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.228576942598322 0.195843123945577 0.313012112121127 0.181716839563028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0653752287721253 0.0551773521965661 0.0244526382100404 0.0201036250930494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.104902239125562 0.0890554163182118 0.0874957037066147 0.0434085571790214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.155982406640452 0.134537615771811 0.183224832303814 0.0926758262755171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.215578177400557 0.187899649835192 0.301604935819905 0.175036500835743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0731986451451775 0.0638342863072118 0.0264893827545582 0.0223314929595114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.108664895506996 0.0917861811625501 0.0894360834918206 0.0440438463171159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.15798839976724 0.135265466469194 0.184645232898211 0.0929467259740392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.217173695000439 0.188542434785177 0.302693319813502 0.175379721316718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0942689453631936 0.0859722207189915 0.0341498953640353 0.0301945300916663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.119753378993626 0.100979266523209 0.0977448308027793 0.0490163360463896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.163974116017538 0.138961962764188 0.189294100936547 0.0951941733253318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.221454565335322 0.191825623280135 0.305892704053206 0.177555494453245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.197122123361435 0.190003934859556 0.113053088108621 0.0994145654656484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.176946742530233 0.151231970295375 0.167602838576889 0.0963642318840066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.198708264702301 0.164713444913573 0.227623542143508 0.119773464583751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.249012585191328 0.211296714882602 0.34002548678921 0.19790275849031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.306455388645331 0.30202866560041 0.275217295164834 0.22348681445677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.241225785227445 0.210768533763496 0.293223820437133 0.184655192866635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.242385432221902 0.198455259378219 0.300552970129836 0.166043849064839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.282780584592168 0.237249637130541 0.396494958102145 0.236103723351765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0571785725621853 0.0565620373359797 0.0139264631478702 0.0208301687173464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0771802550389637 0.0786225609054014 0.03533271697487 0.0666353357021314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.130567409477549 0.127624075440389 0.0992195093888101 0.18686988039826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.19547298748463 0.18431109628262 0.189702989011035 0.345028262332743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0577868128666602 0.0569831965340273 0.0140371009804847 0.0208852185872882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0774829360721826 0.0788151421700411 0.0354273897001631 0.0666851858771858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.130602565150252 0.127694014080812 0.0992720197715994 0.186889273839568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.195493208149544 0.18443442339866 0.189674206354635 0.345062783184772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.059300517671845 0.058190966213739 0.0143401852786513 0.0211291973099767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0780412499084552 0.079360263833245 0.0355419168111482 0.0669274018195832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.130743234376708 0.127914478154399 0.0993399225324572 0.186933683824543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.195653403112178 0.184637570094889 0.189734743059195 0.345202287630338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0636896837852729 0.062195048036446 0.015224277963953 0.0220887620943879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0798071613705039 0.0810076423686789 0.0360468980395464 0.0674788303984914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.131492968655565 0.128876934504663 0.0994848151401831 0.187742398268748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.196237771854772 0.1852885896068 0.190018934501277 0.345699071664149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0889205138298558 0.086347193729025 0.0232868264835765 0.0306599868088084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0913720977031232 0.0934235133484297 0.0401230009710912 0.0739074444441399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.138299669118665 0.135196045190362 0.102581842676265 0.192066192279022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.201364540790294 0.189644976616604 0.192572427554994 0.349776196422317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.118903753578368 0.116400464565137 0.0385355322321632 0.0461367144755078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.106002002003143 0.109584521312244 0.0478975910460387 0.0840790102790088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.147415287013122 0.144112483832873 0.108183084816938 0.19887006184365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.208248199306662 0.196113132962059 0.196896802838342 0.356890349620566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0618366110500156 0.0607473092166093 0.0147206652660977 0.0218150032119794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0789479420140389 0.0807568027774283 0.0357286515685689 0.0676623295977568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.131509187715905 0.128629515309641 0.0994774419478959 0.18779386438415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.196119578626761 0.184679616214587 0.189888933893221 0.344975652198523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0705949753386273 0.068984098939677 0.0168362812154906 0.0242280513192462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0829688806371836 0.0850154108458941 0.0369134215498028 0.0697617982701986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.133758910282063 0.130629773368563 0.100242114621676 0.189195398880836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.197587832227184 0.185875870128814 0.190402378499533 0.345744350112313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0929547802495509 0.0901793239411412 0.0250158874877004 0.0324701433456871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0934200829220951 0.0966785520730059 0.0412698211096297 0.0767484527883864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.139841609479063 0.136743673587742 0.102955099527842 0.194577722330826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.201964530617391 0.189971703864246 0.192455950962225 0.349156559283464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.200077132184339 0.193973403047803 0.112973189507925 0.107313850436541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.148749234183796 0.154467818325911 0.0872332549758967 0.132639904853951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.173451690492152 0.173977188094645 0.129443033357963 0.235776147068699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.227974749174084 0.215428044579104 0.213193056659134 0.379703026136209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.313830910203188 0.309765350939856 0.300213535868174 0.2550499995863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.210754109784852 0.220582317758031 0.183283486925431 0.238397680888134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.214653365662752 0.223053779209359 0.182989309325651 0.315197550484901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.260493470788869 0.249083247886132 0.255905007791677 0.435947700113775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0562370991966926 0.0732601927174743 0.0107429146985063 0.022415767525409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.064270800038616 0.0964080574137028 0.0164945397823684 0.0479506837952684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.101673973850388 0.163177798577764 0.0315972312871685 0.140018313080675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.159185786779798 0.249719807583491 0.0611703720859619 0.331924072343855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0565034636120338 0.0735731263056556 0.0109114078658487 0.022561461205795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0642481799812089 0.0963773702782098 0.0164851540468036 0.0479574626784746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.101594634675489 0.163183100158323 0.031516312661643 0.140018636912052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.159188920373884 0.249611649041019 0.0612188709185717 0.33175841239421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0571995734279153 0.0742569336328598 0.0110788373652531 0.0228467126385783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0643577810239453 0.0963950342149067 0.0165541089120263 0.0479692187508729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.101692349207155 0.163237597633954 0.0315598305325341 0.140074734962642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.159228651473236 0.249727999218839 0.0612369870166031 0.331809785632095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0598272690796767 0.076897014362166 0.0118404013226752 0.0240294848022608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0650688630938742 0.0969962408678716 0.0168568134752749 0.0484599688211476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.102346678855977 0.163724258880709 0.0318848309929254 0.140542147399104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.159686367631946 0.250088174299852 0.0615299237173139 0.332199949748516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0806238445710647 0.0952732060066893 0.0193868089475252 0.0323727277820093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0738360168762904 0.103325701822996 0.0218493557178183 0.0533380491287451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.109319287626342 0.167705995140952 0.0360373394646637 0.144788153576386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.164341744783366 0.253125394254058 0.064330340293131 0.336335298659088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.110143635365806 0.12124067258314 0.0355437344539351 0.0483097557602926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0883512167964683 0.115260216567324 0.032835511089305 0.063618012228313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.120110345170833 0.174937821441404 0.0437107903539718 0.153554734456879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.172762755874192 0.258380860602629 0.0704709335567693 0.344210748025298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0589405728375394 0.0754455333065601 0.0118145663505502 0.023284708193862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0649046060044699 0.0970092699895216 0.0169349046147914 0.0485523847480384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.101709847104989 0.16343618206151 0.0313956988153375 0.140281766489101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.15968602985477 0.250335048949164 0.0613771428738807 0.332534615328482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0654710542417388 0.0811527678919736 0.0138975133152825 0.0256614789576804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0672137676480636 0.0989351328242104 0.018111815603192 0.050056668584964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.103186049352061 0.164679959723664 0.0322542665892939 0.141571041113512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.160811404017913 0.25160770774688 0.061865760725016 0.334203645430349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0851980628903634 0.0979798573035036 0.021920455621859 0.0336181215140269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0759978238135957 0.105739581603989 0.0236478512218411 0.055427305711206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.109117415464593 0.169114331408723 0.0358800142487345 0.146111458440582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.164903902142571 0.254916663576605 0.0641800290429755 0.338744208724698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.191682429084715 0.193294952595056 0.111907789520248 0.110695453352194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.127714143825055 0.149037399162503 0.0768922590135978 0.102446578074988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.149025995383261 0.19890317086077 0.0754027242610428 0.18571511196863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.196551788824863 0.279652487295533 0.0937606803928882 0.380645043512625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.313649301555574 0.303180020495527 0.327863759123843 0.257305968250622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.191692650546202 0.203925329530895 0.190839351181118 0.188607291798985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.201280392680873 0.243403860394688 0.15900269679916 0.261716993943541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.23942753861441 0.316553738113958 0.154321488946254 0.453226495861355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.116483575312689 0.149785775674635 0.107143615203684 0.157477443743492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.218505931568375 0.311204598023596 0.452173226927565 0.643410529420783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.349180807393625 0.516806579608227 0.914361218984531 1.48497293480654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.466485360274806 0.704355867417188 1.3177750207375 2.46362567448135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.116694935240569 0.150067424378966 0.107132729796188 0.157737741088586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.218355705328261 0.311247505790713 0.451739848441559 0.643191852115108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.349010502158971 0.516835013746401 0.913733154899217 1.48503463588198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.466292897072878 0.704500075578195 1.31729251109062 2.46428529165668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.117315694383692 0.150556019499413 0.107398817769082 0.158027469144914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.218659765156687 0.311502710494433 0.45190841886547 0.643595715170128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.349064729537704 0.516899388156384 0.913546161475304 1.48558155614427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.466269790458424 0.704558441467596 1.31718707053267 2.46464335588185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.119392568200456 0.152499284654494 0.108231521972885 0.159222266843373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.219950985346565 0.312168880834264 0.453580887357416 0.644572854364251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.349859948606236 0.517169895106375 0.915275410621527 1.4865435683238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.46640356076198 0.704723505160624 1.31731979116035 2.46518602351065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.136707133019725 0.168948980492209 0.117059912851616 0.171705814619944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.227590291672431 0.317436977017518 0.46003206594287 0.652101079014621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.352455075697411 0.51930879717275 0.91863313780906 1.4928988289952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.468085489974917 0.7060376737296 1.31911860623909 2.47069233119869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.161661845212777 0.192982226084498 0.141507059347342 0.191977478923118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.238053917653891 0.324916171541301 0.470228106435493 0.665307124352566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.356375359763209 0.522110146165944 0.921779751354953 1.50230016193521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.470811375091062 0.707886498953096 1.32316466905558 2.4796096266557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.118376888931371 0.151722253894532 0.107686167178865 0.158671415343455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.219368933716884 0.31167950696927 0.452815055920776 0.644551909170462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.349359744825721 0.517205545155281 0.914385817973407 1.48613115535625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.466516680694788 0.704421246988406 1.31754085967993 2.46447772612457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.123536545537583 0.156643464489122 0.10992850078108 0.162200601427256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.221323993549717 0.313452319382316 0.45431139711929 0.648410897998003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.349982078276373 0.518358128862001 0.91559874539608 1.4896564666843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.466922357044738 0.704802316398912 1.318226714236 2.46626739147089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.139558440380736 0.171815138391529 0.117842714280461 0.173188363002325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.227846421506787 0.318096897648729 0.460359310227791 0.658186031463015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.352661969807438 0.520041675645661 0.919591168415602 1.4971706079364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.468184382923241 0.705672152235696 1.31977773254459 2.47183052573237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.23323947611252 0.264220068880275 0.202714692065305 0.275357061361319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.268086481711106 0.345782487980427 0.518045983987461 0.715381943014809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.3726226646142 0.531136011764733 0.952134425268974 1.54483920168132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.480256533524368 0.71196061826807 1.33805655963626 2.51988092412776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.339066304796774 0.369052381182492 0.377176294128118 0.448901601695992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.320065435042369 0.385866332397086 0.62563921412794 0.829025539787777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.406259809321716 0.553144653166436 1.02031796363739 1.64504368626731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.506497050796524 0.727262354274974 1.38725381923939 2.6214021363414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0367119788953734 0.0465738835478621 0.00402738651741854 0.0101620358962501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0428971999304853 0.0593605986252223 0.00418252739220281 0.0178627644238781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0812491209932962 0.111991393687135 0.0128443384442251 0.0633266451942363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.137431569056774 0.183315329128471 0.0297383387491275 0.162455882620808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0369918906518748 0.0468465537012335 0.00404255582311659 0.0102486240842619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0429667222349382 0.0594261879666925 0.00418545754249064 0.017911468870735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0812819608551715 0.11196866761794 0.0128402304597513 0.0633377949604034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.137422449935396 0.183267360558127 0.0297193110658236 0.162404971680245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0380431122750397 0.047742151035377 0.0042443219438168 0.0105333368899742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0432009425169073 0.059603712503847 0.00425196693922217 0.0179958481587683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.081361504753095 0.111999628361851 0.0128378502392317 0.0633757725003642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.137508289949577 0.183250755191527 0.0297597301056134 0.162396526145713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0417021546922946 0.0509501440756302 0.00494079724911951 0.0116376134386136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0439921545116015 0.060335206439856 0.00443801751044368 0.0183453783894492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0818301964027024 0.112374868744041 0.0129829881544922 0.0636654136884226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.137782633587573 0.183297167820175 0.0298699683029907 0.162413662083377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0681319399382629 0.0737494555444113 0.0142867040404683 0.0214669494827933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0508970325587494 0.0666477912092021 0.00649576783759846 0.0213840238649995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0857256940817752 0.115857747180157 0.0145571524220355 0.0664174547811371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.140346302847905 0.185073677670085 0.0313491905525323 0.164387926087511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.100353375036715 0.102944479490821 0.0338116529870409 0.039011643518756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0615804588233624 0.0759769286177421 0.0109621658073929 0.0267227357504655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.092019061780967 0.12151480934359 0.0180843582989701 0.0715214923482875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.144530928093875 0.188544526651527 0.0341408822588528 0.168443057686586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0403152855110765 0.0494503006359693 0.00449989697157514 0.0108331482576657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0436136493461851 0.0599919116074069 0.00434044948142388 0.0181097051622893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0816536336603364 0.11236022774974 0.0130219819323843 0.0635089299333549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.13773197217773 0.183459920637382 0.0298339084515607 0.162533049006753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0489829726047502 0.0569524702715573 0.00656343001475385 0.0134108236911161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0457245289396962 0.0616174949564211 0.0048923236798071 0.0188485263440898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0827825237125223 0.113303613329604 0.0134825207617398 0.0641513293492364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.138608953045034 0.183839257196993 0.0302344392497472 0.162923153931178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0718908768554455 0.0782733829776804 0.0150717715474325 0.0228302405192111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0525081694093443 0.06736088096619 0.00694407070317766 0.021548500213683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0865293344645653 0.116423626442287 0.0153156586447085 0.0666450492719829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.141212758532724 0.185590701258943 0.0318114721362807 0.164978714086169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.183200561749095 0.184605551423297 0.119098692321145 0.104420220023257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0940670881750992 0.105299567068059 0.0331705157336414 0.0507157722244471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.113442600439618 0.141047273750015 0.0371151549577842 0.0934733973888214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.159828419504205 0.202487505493819 0.0487482340216575 0.187537022554861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.301900747456467 0.300421723646556 0.35730726082165 0.276978863216712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.147075473468599 0.158132722849965 0.102564522454203 0.128083292152485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.150581857125027 0.175266641390957 0.0869183606012291 0.145080587237324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.189312001194648 0.231493800168016 0.0883598141859476 0.234391734630582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0254201390160823 0.0212738101743818 0.00162870989154858 0.00194918480624341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0170352701167267 0.0153720625823725 0.00097355109021831 0.00156066970935277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0264252243548931 0.0213783727908852 0.00248771015023297 0.00213261450531358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0402882939005261 0.0333223784137849 0.00528163587297198 0.00449566345566564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0260383623302622 0.022275715114405 0.00169011004985688 0.00207997231318381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.017169902391168 0.0157648230887224 0.000981877860112563 0.00162532179555522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0264886082549532 0.0215849495267599 0.00249142254340618 0.00218477299779669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0402888227839938 0.0335348303999767 0.00528042982364735 0.00456541584177057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0275718273983935 0.0243739737162313 0.00185515854352531 0.0023137766049445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0175677723642745 0.0165811491664977 0.00101104162254197 0.00176357790352457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0266875035888839 0.0219682039201747 0.00252271527915525 0.00226286451123265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0404116305693831 0.0338492760207345 0.00529812978254028 0.00465461327683577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0322371187638569 0.0303927374529012 0.00246703374977289 0.00318032567891696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0189717587186002 0.0188553674532525 0.00113101061531195 0.00216601262235097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0274196809014065 0.0230681335655324 0.00264854629880176 0.0024828102787378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0408583555014364 0.0346775721431005 0.00537771807214158 0.00489456714056268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0597021335732207 0.0638692584329737 0.00935517209360433 0.0117769938105988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0287903012211777 0.0323468982391059 0.00261645235227576 0.00571255223497156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0323875318583191 0.0298354665779629 0.0038016481847261 0.0043508918717166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0436844714869012 0.039401259109506 0.00606377462476492 0.00650197029464847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.092318630484338 0.100285218366157 0.0256172746939524 0.0272258870658633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0407689781314793 0.0474929817779538 0.0057696724418592 0.0117271836586905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0395314984450026 0.038903885298574 0.00625127287038253 0.0078011855386658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0478585864697741 0.0456261331450136 0.00752500046071058 0.00932279231687165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0307194716210017 0.0280689527992632 0.00226866231418312 0.0028354956690835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0184895071277384 0.0173348802608633 0.00110391853712682 0.00191223220921932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0271812672637307 0.0221961321247351 0.00260498641744956 0.00228312594996097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0408226053088364 0.0338170275688166 0.00540702875271724 0.00455384906562387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0405388726615396 0.0407580749123074 0.00400241052963521 0.00529801179951267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0216535424777748 0.0215377325773754 0.00148705893370936 0.00267929799204193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0285522511166217 0.0241684399678695 0.00284072059245197 0.00274002706272807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.041736498180083 0.0348058604366248 0.00563190103139877 0.00475695466419106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0652154901360505 0.0706461364516741 0.0114100929233225 0.0144522152298303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.030275604234111 0.0320873488318591 0.00314180490291719 0.00528848096946552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0325909039080946 0.0302867043127716 0.00394778535156149 0.00456798297862208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0442973011841287 0.0382043832369108 0.00652398409505968 0.00578697314158207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.173621867629584 0.19445370898231 0.100266158686724 0.0920240106693839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0737909502135919 0.0823616940778678 0.0266237638753154 0.0315693451698265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0580039974853329 0.0618581223927192 0.0163493355601876 0.02075518682248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0613906679458968 0.0571450861506358 0.0168381026371198 0.0153733234086132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.290114260092032 0.319787223528219 0.3179293933446 0.230588282512879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.121386347014563 0.135755725488404 0.0833214475102066 0.085719642619663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0896186295803973 0.0980774636757543 0.044709083233702 0.0528572900813952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.086325320557311 0.0851657488832624 0.0409701617110093 0.0378853808599904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0215618571160738 0.0168312889309296 0.00189691771066237 0.00158664866388461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.01030112921328 0.0115589862465488 0.00124263068016345 0.00144858723438539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0135993011344576 0.0131454664813173 0.00307301684559951 0.00197270466059999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0232628548658056 0.0203018909903425 0.0069922158230569 0.00402088615791509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0224740492651225 0.0178341826633303 0.00197031148381127 0.00165582164440467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0105328772311675 0.0118004240738452 0.00125144192093488 0.00144913739522549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0136759096340001 0.0132511455100566 0.00307251036651913 0.00197548057944671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0232596507502439 0.020356268915972 0.00698948747379856 0.00401636202956079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0244297766144954 0.0202801042013756 0.00215173065178094 0.00185124806905718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0110755767068428 0.012471925346789 0.00127441681815801 0.00148484212652044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0138996382550393 0.0136080313892857 0.00307920023080177 0.00200117293307171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0233488562582543 0.0205748317347086 0.00699250275393078 0.00403350779318305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0300051435473571 0.027066926690975 0.00282427914909524 0.00259097809141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0127260717640583 0.014646999557127 0.00135829261391521 0.00167256223021229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0146326824113069 0.0149866339644166 0.00311219153811654 0.00213123010729319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0236755169271649 0.0214849564610481 0.0070118516570207 0.00413510055856443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0598411810036654 0.0615101537984703 0.0096327861996938 0.010044031715986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0223621526717072 0.027651642790265 0.0021809997682826 0.00377877747100917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0197706791200639 0.0236973480300758 0.00351293036457635 0.00363115814155893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0262991849946551 0.0278893372731586 0.00725896243216205 0.00527729978980991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0929999179954955 0.0985666962416549 0.0234249116065725 0.0242453378930478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0333871109914895 0.0431744762727442 0.00378659912367888 0.00868204739069009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0260820339426397 0.0340566914547214 0.00431323644098029 0.00666252769271366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0299629399818435 0.0357102947442627 0.00779899110492313 0.00751384766298388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0275355556147217 0.0242237268323498 0.002505651902238 0.00224947818454422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0120793037679623 0.0139602550489782 0.00135062502975601 0.0016427694960898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0144238636071049 0.0146379151770179 0.00311624403710908 0.00211896956532932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0237617457211523 0.0214319379326466 0.00704088733158985 0.00419129581770169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0380649183356211 0.0371022228376385 0.00417827589388995 0.00417084066358824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0155845116290233 0.0188498714038458 0.00156131303084786 0.00222309725437538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0161376997982487 0.0180316074891884 0.00325482056128262 0.00255773690317908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0247266850911286 0.0240429496486941 0.0071319984697148 0.00462433117844564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0630608147465614 0.0665231268333133 0.0108820598522494 0.0116679387524219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0241017920515132 0.0302785126849919 0.00237306631776866 0.0044081712064951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.020695294047406 0.026298261772541 0.00365434173518361 0.0042868391463314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0272516955110456 0.0305579843657231 0.00741369283602906 0.00616458037721874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.172830388488369 0.190107263123163 0.0874617873900491 0.0848699620118641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.063088806574179 0.0794716201464971 0.0121687467824364 0.0249816383253963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0432141461971712 0.0617862579629682 0.00821753733121254 0.0209205744757594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0414233913239881 0.0604337475454169 0.0102783921728684 0.020569273879681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.283636601047366 0.308611091894606 0.254304948251563 0.204203135736246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.105826475712466 0.126728853656612 0.038698624309248 0.0618515583994875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0692616454035287 0.0947329258744852 0.0202490612939273 0.0460163892681592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0597169499720762 0.091336046399897 0.0174591348536561 0.0455441864502244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.168752181874154 0.168568102402852 0.217120458989316 0.216396309393221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.345480116955794 0.323708704809694 0.875621181290638 0.866560214597369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.536276869456077 0.514672534266048 1.68976302426978 1.89167229181701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.68731987201927 0.684121348434719 2.29485995084705 3.02444951416405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.168899704450991 0.168704934591017 0.21727552879278 0.216324235803783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.34688105759185 0.323909543502514 0.889106012465034 0.866914127539827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.536977825462099 0.514786207189229 1.69616385696199 1.89138903191413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.688681899171101 0.684104430002476 2.3054895186332 3.02448589690554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.169313256046067 0.169119575297634 0.217534458597029 0.216601989300188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.347157945925972 0.324304349784998 0.889871184725525 0.867516696746056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.537138578885078 0.514869385195805 1.69686038244239 1.89160181544358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.68881280787094 0.684097654749764 2.30669387256396 3.02440536490021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.178292410113534 0.172908477907183 0.280857305547315 0.224841972860305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.352072080594497 0.329578314949974 0.895385500581188 0.886027007019456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.540373703368088 0.518177074140763 1.70284478066417 1.90858610376478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.689247305037898 0.686305689277726 2.29969255617326 3.04092410790047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.192984793746668 0.18692595002961 0.293292828070903 0.235772126263223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.357595447191365 0.335913849820024 0.900681488713392 0.89462711829422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.542195875059262 0.52082326192448 1.7048577018694 1.91639754771405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.689853030058211 0.687601439659563 2.29705322569375 3.04665075664452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.215397676639139 0.208048324794429 0.312087759573164 0.25553990763866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.366389026524886 0.347071085696963 0.914428003909616 0.922572750758665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.545870214236485 0.526016526342328 1.71072972101991 1.93295201531131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.691528766981229 0.690577555131145 2.29839854140821 3.06062640714969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.170444686978242 0.170285475733283 0.218363450651619 0.217790841447903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.346396103977071 0.32523361307533 0.878032825019948 0.874202767547719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.536542940505836 0.51507350109646 1.69068385284202 1.89420081703369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.687628893248837 0.68516294464784 2.29528078121127 3.02880960123846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.174655254375003 0.174433525952478 0.220685177749449 0.221008403219805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.348352704173138 0.327005835423537 0.880757514738022 0.875657349940092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.536799144963426 0.515540285061599 1.69099347836691 1.89526039293689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.688103197367573 0.685470474454057 2.29594791101277 3.03005686745212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.189021664310389 0.187981935238346 0.230842428298491 0.231917269391196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.353325570627812 0.332658380804064 0.886487046847617 0.88306587698542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.538844630863385 0.517701855874347 1.69394402865836 1.90146742336036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.689046743839972 0.686583120335213 2.29523561572123 3.03489023375844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.277347141686492 0.271782800332934 0.325963893917439 0.328454582107764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.389481108497802 0.368923898842687 0.95883809407931 0.965176476997599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.557728846168543 0.536854904602869 1.73542151275213 1.9679884844207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.700200952910233 0.699497943382086 2.3154184754016 3.10004761600558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.386156310899683 0.373261176585887 0.54118053477164 0.518905679999347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.437161821777007 0.416263834620095 1.09326911232756 1.11041874086874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.588075472567482 0.568755917815526 1.82084114378495 2.10926182421113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.719653396006424 0.721056978510414 2.3543595891806 3.23134760064252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.008649596085316 0.00715380092345294 0.000163491080799827 0.000195175741182762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.00420496662902563 0.00370748971844156 2.84156885094772E-05 6.20795724333328E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.00510465713372231 0.00367399767656597 3.42674831805708E-05 6.07852619850765E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0078656344292194 0.00589907656279132 7.49090136833772E-05 0.00015143170080319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.00977199226496174 0.00849960833119462 0.000202272994657803 0.000249791171893381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00448614019965595 0.00414747795104353 3.21025829671641E-05 7.46138503766336E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00522576777229652 0.00393804305678988 3.53676162264777E-05 7.13361507797467E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.00790794365189683 0.00609980377068862 7.55630970007009E-05 0.000160594580890336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0123568329285939 0.0114116554836819 0.000320477170341706 0.000411376751373641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.00521514700833827 0.00514777491041442 4.57254786790522E-05 0.000111494366882754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00552352961786167 0.00455232582494412 3.99199391707057E-05 9.8418322573912E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00801244233483036 0.00656039628353944 7.79201460976954E-05 0.000185292966652221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0189534671227367 0.0189415759632312 0.0008143983949259 0.00103154956876773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.00741151750632138 0.00798746244369819 0.000108866725872565 0.000262746486463917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.00640428425143565 0.00622707172480561 6.0160094628065E-05 0.000197176629578384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.00839360939119105 0.00792741392538208 8.91045585946212E-05 0.000283290031770511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.0497567992747824 0.0519472507264057 0.00701373173575049 0.00660404250696535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0184023543216092 0.0211109185941761 0.000900456105251282 0.00171399525137868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0115071980719938 0.0149181434557828 0.000333757789067433 0.00126886669597617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0110935727242574 0.0150213655501759 0.000242164058715323 0.00124749648572325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.0816142544004038 0.0860679580522174 0.0210150292683732 0.01670870259159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.0302361558119497 0.0348262022618053 0.00279278645901006 0.00456607062960843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0178531302595182 0.0237240018234957 0.00107609697893927 0.00317962080708875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.0148779844125714 0.0227094527952068 0.000604137399016517 0.00299367859998248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0160186818461323 0.0159996473535565 0.000562938277099618 0.000791638815321513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.00650452239049593 0.00705331409007362 7.52991292935399E-05 0.00020126755869063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.00605218243610108 0.00542858368246002 5.57409408410491E-05 0.000146271431170428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0081934077556143 0.00722230744401606 8.37117895124868E-05 0.000241379990917264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0275392941091215 0.0295126350446492 0.00189085335912145 0.00248718250408693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0105853302944225 0.0124550672293571 0.000239616382046277 0.000616076206692103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.00783364804510905 0.00871028987113177 0.00012015322525493 0.000425472550984362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.00902308392871552 0.00986866289255451 0.000118679488404829 0.00052294392025982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0528905898074115 0.0567291264271056 0.00808398731652945 0.00792649435640639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0197580043728613 0.0234679513374976 0.00099784342082128 0.00202826730809342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0123745023273127 0.0161481300632146 0.00040597691383852 0.00153249330186626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0116023276266505 0.0160903962806405 0.000299738180213218 0.00157736310838002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.16265015604216 0.171115886930786 0.100841749570794 0.0585030239447714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0598911945990482 0.0674285961714495 0.0131359968939462 0.0140344471768204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0369074849399657 0.0459046356253668 0.0068686554889225 0.0109645266051446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0286037283049089 0.039365081638294 0.00472104907877477 0.00934853581888305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.277230238288344 0.288233312184482 0.325375777664388 0.143750169998208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.103586113415381 0.111860648401434 0.0512836527901568 0.0376573991308781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.0642532968641876 0.0794997096371499 0.0255193258152699 0.0328408440637814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.048969606471385 0.0628394525096146 0.0169368313134225 0.0226044809357965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax CSMEstimator(RangeKEdge 2) 0.0477046242201649 0.0667400536788276 0.00517269565333452 0.0158778890717295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax CSMEstimator(RangeKEdge 4) 0.0251015415849987 0.0348635418363895 0.00319346561547764 0.00515043422476556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax CSMEstimator(RangeKEdge 6) 0.02478399510124 0.0326915736313614 0.00365670537652893 0.00498704179976475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax CSMEstimator(RangeKEdge 8) 0.0235372963815186 0.0358437816302413 0.00301887763638781 0.00541480380465807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0507409616844916 0.0705966710124977 0.00594564583425893 0.0171267719851602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0266681215743804 0.038200639982748 0.00366976809308336 0.00648996537217162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0257578229221189 0.0348826666327297 0.00408315157328888 0.00582514471720246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0242571306263347 0.0377979595695388 0.0032793436814075 0.00616762061324766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0591602830110784 0.0790648906722133 0.00843138329897044 0.0205143950955797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0315735040096315 0.0461130694028606 0.00512334667937018 0.0101464538825574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0289990532904457 0.0405566164625056 0.00530475954331825 0.00825619194280865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0266468251534002 0.0425286421675619 0.00406366731858389 0.00817466007215084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0856687651650868 0.102818812953486 0.0189115609491133 0.0327165135996118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0481589538257978 0.0666942297307836 0.0118973746411109 0.0229420729039697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.041782927741612 0.0563344791940455 0.0110200267276466 0.0168925811904549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0361971506074919 0.0559101020996929 0.00751412497785686 0.0153459709230043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.222013616418485 0.23266731692191 0.142148297079593 0.153562333398989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.138464907431506 0.158233385944721 0.114338346271922 0.127175407829006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.115301644255192 0.129115790273251 0.0928579716503327 0.0885679485645588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0949496309434296 0.118145616527731 0.0560337603230062 0.0733144227920121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.365902100800181 0.375036242875325 0.415959514810105 0.378052647370688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.237130736533252 0.250501429661909 0.365327580257849 0.314576050658603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.194707573030403 0.203770536391973 0.277764679253788 0.217183534998817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.162025584387938 0.182151027513411 0.174519728316703 0.173250586864129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.075771402904099 0.0919382047032798 0.014885250144645 0.0271360524789793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0392432194648862 0.0590989546387289 0.00712884117628676 0.0170547614867916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0339359140956752 0.0515488253388592 0.00671502262327376 0.0139948504300937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0305241098638035 0.0503668469273218 0.00510380014412276 0.0118789969395411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.126530826503063 0.137359973245649 0.045432749147887 0.0567222654266031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0683612755991772 0.0966821325762341 0.0222469080333217 0.0479474549938512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.05580820311356 0.0822563848853735 0.0178617146637569 0.0382061912526639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.048120603907829 0.074487532077653 0.0126779139863979 0.0285333469424619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.238698143199405 0.244960958675066 0.174476233822018 0.165876981588166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.136240888602464 0.175373770884191 0.100959055778403 0.157080583878171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.10832590838754 0.14693682485603 0.0720533231719176 0.124715735133155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0914297570221115 0.127145038514354 0.048884321719109 0.0865710513315426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.70717471783779 0.701879945304076 1.84121042120359 1.18703557232001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.434083101135906 0.486823797830712 1.27633195562136 1.22429526931699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.351731457296681 0.402352745053242 0.889734593630755 0.900566221389216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.294085242413603 0.345385460915677 0.589229859710999 0.626323922756194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.2116113203425 1.18208411434751 6.04087268170287 3.19517466883655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.736082276259682 0.801595383663334 3.98607497963836 3.39141006649597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.61160526469973 0.664626406611615 2.85983966379754 2.43696776096135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.518750100140584 0.582532927430961 2.03473869245294 1.7600435536928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax CSMEstimator(RangeKEdge 2) 0.108016142881821 0.125311791876661 0.075069507384692 0.0534924832833785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax CSMEstimator(RangeKEdge 4) 0.17038029644925 0.150342135699257 0.25280310604307 0.148308974477846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax CSMEstimator(RangeKEdge 6) 0.140940159246966 0.132774388343881 0.158236950712784 0.118257326409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax CSMEstimator(RangeKEdge 8) 0.147372835730229 0.18468334766835 0.145607453592323 0.214694488415112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.110979843841111 0.127424149972333 0.0757947935636523 0.0546522180978305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.171385795093423 0.15082228915325 0.254816775168011 0.149021065369428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.141684308395467 0.132928162909289 0.1597731730686 0.118582604914657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.147770826087742 0.184983464894244 0.14636618981719 0.215102253197688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.118635003863126 0.132986103610503 0.0800721627971879 0.0578041144929275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.174741909346069 0.152887440335341 0.263260666040038 0.151431214877566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.14315807605078 0.134307014854226 0.16221507985909 0.120027934095053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.148705325419396 0.186465395419988 0.148071637153934 0.216883149371213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.141197707833425 0.150535271240033 0.0955079011624729 0.0693462627066258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.186648640002153 0.161218222148818 0.289028517704596 0.16110125475559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.148846410360292 0.139975842759035 0.17003267611412 0.12642966871744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.153683099728968 0.192086402595684 0.156378504286715 0.223511858843945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.27138444986829 0.257787504654302 0.270267804848808 0.179793913147404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.275075144670358 0.231394925537643 0.531486754287636 0.267283750114505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.202490901376711 0.184571158390228 0.280029615052863 0.185907215763057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.198908564074591 0.232950529499664 0.241259787192543 0.282788123705535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.417924808916876 0.387600774645754 0.60178923808144 0.393685049505466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.388645683951244 0.322160038870534 0.982995404415556 0.471692862693648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.277337003945155 0.24611994696639 0.49249412220695 0.297958427879414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.262690201072008 0.286396217198504 0.399951451874412 0.384758774857912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.131633466176054 0.143618158461954 0.0853720378956058 0.064028424604438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.180898320067242 0.158724470955509 0.272688289283641 0.159742549322878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.146153911832361 0.13791914250155 0.16913579173975 0.124243762263965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.150807567823227 0.189989714259702 0.150773180145049 0.221132390461573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.177817077491183 0.180141195799105 0.126130978671561 0.0920607143974156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.208385366776782 0.180279149909753 0.335849593107733 0.188784811018729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.162860077756805 0.152572276537061 0.203173299289869 0.141873821059068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.162474072755761 0.203176691037357 0.16937890594993 0.238562572859895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.290602085942194 0.274014090208981 0.298264278779869 0.197887862690334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.291554085784636 0.245253140957596 0.593648871609304 0.299453551777339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.215156355746373 0.197781862941057 0.328973062084875 0.211449287889503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.204168527473907 0.241409741304877 0.251603315539031 0.300064481462988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.782807374120373 0.721061974404806 2.11114082903933 1.31771915427088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.680744596019771 0.582451543996506 3.01222125455568 1.51921595634254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.497628694993139 0.444731367606913 1.60671244379877 0.942495203984591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.439226772873062 0.443609452481281 1.12873561162654 0.854967079867493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.31313838095756 1.19606249469878 6.37069752706183 3.54357425183676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.08772594109443 0.93919557047639 7.75978711494947 3.99634816791613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.824713677644831 0.741619178657708 4.42402220597903 2.52960616771854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.69702539367057 0.66441687081114 2.90476567907047 1.88934119068361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax CSMEstimator(RangeKEdge 2) 0.0102494324992366 0.00675886261976257 0.000260000662297243 4.60730194237819E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax CSMEstimator(RangeKEdge 4) 0.0339363587133295 0.00643365411342601 0.00533410919087993 2.18022470251909E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax CSMEstimator(RangeKEdge 6) 0.0258536989340039 0.00241711955242902 0.00350589536586861 2.61127589025051E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax CSMEstimator(RangeKEdge 8) 0.020047382214438 0.00664641314260441 0.00197656522973623 7.14558161301207E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0223540808975209 0.0178829296838648 0.00130074610393803 0.000601837945926072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0467987118185531 0.00901977113277531 0.0104035750782022 8.19918772038216E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0311227857651305 0.00387763503702449 0.00531659379330789 5.38949441643581E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.027287540756193 0.00692456795813301 0.00358141566327939 7.47568956147582E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0416549140487095 0.0338215710390731 0.00465644566930651 0.00238862559580091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0778618148627043 0.0141476057591897 0.025304748648364 0.000290127345659556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0474497754361463 0.00653938756152956 0.0112796219426357 0.000133422260750686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0435492353548034 0.00799579817963407 0.00811929660022968 0.000101200191542248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0822386404234217 0.066789998508685 0.0188131645838283 0.00946050164528623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.142747017027112 0.0287051357715549 0.0782229121762753 0.00165421164704628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0857531115412283 0.0130488247823328 0.0337743687684739 0.000477132900548403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0789993382654234 0.0120094058662602 0.0246542600155076 0.000249741968961872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.23803602681072 0.200349150465618 0.181328238719418 0.0733230699598017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.349451221360421 0.14333259836444 0.511412033968277 0.0638744447844568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.223515389113319 0.0679249295336922 0.22763686154255 0.0161218135412006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.208758851001907 0.0497311641311093 0.166996106532646 0.00951930528478107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.389673531969046 0.341921658209188 0.538091188138293 0.186136384646881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.52269405752853 0.289921070619484 1.27143911068691 0.261835868301524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.342898856324473 0.156798232611043 0.577087746724067 0.089595014552815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.320232574042773 0.107604858742014 0.417572152962715 0.0461505215231835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0602911131109266 0.0540783937406635 0.00980502457727397 0.00696957860922443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.108306824345581 0.0211035580368784 0.0469151269209781 0.000824410806066884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0639758722887223 0.0122633587034478 0.0198498170419166 0.000456735907977759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0557531608538029 0.00999191269441633 0.0130887744958391 0.000219457349977523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.118670818226871 0.106773158534332 0.0398005697762364 0.0266653086212968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.198427882913625 0.0525672063936345 0.153760655572578 0.00692606065818594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.117652703941888 0.0271831623781267 0.0622121595012949 0.0024616200512148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.106327716397984 0.0177911344561758 0.0438877683549287 0.000747531966590782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.231147684174285 0.214374926572043 0.169391935010482 0.0946585298756544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.347666937992949 0.148480699056983 0.507888956738681 0.0643410739928092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.216054111674107 0.072076660969294 0.214999775428395 0.0195525770431769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.198341288240893 0.0489211982203636 0.153341845429687 0.00784405836276227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.732521856956311 0.690560521038863 2.02941835426115 0.683656428173438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.874147460922477 0.579387772224473 4.03263987942638 0.982707599049385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.571510240158359 0.341027711600122 1.78065451680209 0.36666240049848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.428876112953817 0.233121964286348 0.831287828531429 0.205883587003534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.29431671336717 1.22958426370854 6.56016889283793 1.9249989015221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 1.33905008455665 0.984144037765784 10.0421569369651 3.00334502091011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.899600228163793 0.650013947474799 4.79334902660189 1.3113924643445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.653908102825503 0.44704197280857 2.2451417196496 0.729387201809142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax CSMEstimator(RangeKEdge 2) 0.0460930517078594 0.104553408181537 0.00989645662746148 0.0405420524019308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax CSMEstimator(RangeKEdge 4) 0.0397952371834555 0.0477897069747909 0.0148911407947794 0.0115350639159181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax CSMEstimator(RangeKEdge 6) 0.0491552562462226 0.0513474997658812 0.0188458442132371 0.0143986371461051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax CSMEstimator(RangeKEdge 8) 0.0475001202141969 0.0599489028610188 0.0166636063942319 0.0160777734877151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0511643763727205 0.105727532381733 0.0122539679503406 0.0410710606472861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0412142501960548 0.047599564236187 0.0159499460282318 0.0115122763946044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.05059079940442 0.0515842420407685 0.0203090253800927 0.0147072576625294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0485467951177397 0.060657777617793 0.0177468752951888 0.0166324524699421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.062500883430029 0.109695396282028 0.0172183945858558 0.0437086483057149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.044988583577732 0.0490753823496891 0.0185888155005629 0.0123313848427724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0533044522210979 0.0521129559134626 0.0229999742109924 0.0152885980741124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0508204603969134 0.0616228911874567 0.0200079247900856 0.0174559488012937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0929902123600883 0.123446235426102 0.0346831764390396 0.0539497430045777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0592994705970372 0.0571615715084526 0.0288859753632216 0.0165075486557367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.06394892970511 0.0563063355476383 0.0327704736775213 0.0182478482720542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0591596555477798 0.0649514723973139 0.0268829829979696 0.0200887561681201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.239419214687513 0.226695387492647 0.209023250059958 0.157881899303801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.139224373470549 0.1167064629182 0.131031056723441 0.0659578228320679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.137902903260935 0.0983809124605389 0.132069111814106 0.0527782559657091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.122762376392584 0.0936380823091693 0.100637882490621 0.0433091715546534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.397696639116963 0.351070794831537 0.593977742770455 0.34386600426124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.223141080867258 0.191626424901722 0.327021420518987 0.180733568380795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.221773493362808 0.151518165090087 0.329896118677982 0.118019774076376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.200733645675086 0.131618766070759 0.250486935535141 0.0835009764789431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0794770735707869 0.118357466911283 0.0212216923992051 0.0505448505452249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0532938945421297 0.0556975980126204 0.0214771532550963 0.0162850684010139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0551592949656293 0.053398744309069 0.0229741472931063 0.0161571439244066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.050167777073192 0.0617256502437278 0.019311061510472 0.0174760022077426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.134800936964998 0.153484635670347 0.0548380539665755 0.0800176835243026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0850299015601795 0.0780177638079521 0.0471351244341872 0.0307284374600701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0796037228191906 0.0679355018647716 0.0428363189658582 0.0254949168529633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0729273219533414 0.0727762548545113 0.0365560167893804 0.0244092401049392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.256809557828288 0.252107596367546 0.207536707631809 0.191715067765254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.162062343175539 0.13512080416168 0.157555231488671 0.0856792122835098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.144014343317971 0.111613110208998 0.126318404715179 0.0656414351101039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.130044003311004 0.105145305878621 0.106186390145614 0.0531514430574626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.747119066173144 0.70397844446971 1.88000079697061 1.2988830254714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.462508882676191 0.391316627771872 1.35161793950748 0.722842072603296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.392098981394056 0.337014212856179 0.929777231369346 0.597769066266351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.370104871916172 0.276692335020177 0.790268128487204 0.376864563345841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.25176997096556 1.16985284253861 5.68464409836013 3.40171730324201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.731846229045905 0.676230863595691 3.49057840602044 2.26486480162506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.666002813555255 0.585678395572552 2.69326583694822 1.8461739184082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.595297974215923 0.508281626129531 2.04517762923493 1.25434845226593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax CSMEstimator(RangeKEdge 2) 0.0662088897934759 0.121427340434788 0.0158454649061013 0.0639451489739327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax CSMEstimator(RangeKEdge 4) 0.054040778010809 0.0835838213101982 0.0342534697953165 0.0374293741929156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax CSMEstimator(RangeKEdge 6) 0.0576065064026365 0.11575320276969 0.0438399916055021 0.086958098916774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax CSMEstimator(RangeKEdge 8) 0.0620228641829176 0.180694957505114 0.0607142893070305 0.202693324350786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0688241836393794 0.125111787122382 0.0164962765371416 0.0656520929926886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0554085716328297 0.0846372633189332 0.0350055825418782 0.037970585962714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0582304914543194 0.116457906782857 0.0440655788310262 0.0873982546024033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0622340216788601 0.181582546592704 0.0607439980297031 0.203040384797189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0758290363013225 0.133777924241722 0.0187894839550717 0.0703612828481146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0588290500958649 0.0874193671581127 0.0369788629838838 0.0395706933556563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0600075051755621 0.118193293515867 0.0450466047484864 0.0885962958931781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0632916544891089 0.183385474727049 0.0612208302122365 0.204294327658214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0980839340405678 0.156936171421688 0.0281424873567288 0.0860361013750653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0695493028851729 0.0965745746240212 0.0442764370626662 0.045971951154352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0661882177120558 0.123819515237394 0.0491143415128837 0.0932286031264553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0674166178075993 0.188380396139393 0.0634452980396184 0.208852368899486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.220307748867533 0.279022384067375 0.136005534720588 0.224255064314792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.133013008342367 0.152089773171899 0.11723717357939 0.105532921391289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.108485603469258 0.160209007668228 0.0931105049198443 0.136736004101728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0986315533471446 0.218007732690931 0.0891405724466808 0.249636282134641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.354379080400223 0.417360310867808 0.36582819670568 0.474243634042605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.207374131662827 0.218910610459274 0.263384768394401 0.21502260380671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.161413113289512 0.206486891169177 0.182483325169402 0.216003947318765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.139139391660751 0.255395061729684 0.142119122511577 0.321098091485396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0892973069891014 0.147159795480551 0.0250445939520977 0.0792400823503233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0652913155137963 0.0932185925542068 0.0407933682293736 0.0436192341559568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0638865168864878 0.122304110894828 0.0482290851922633 0.0920997648161299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0657927121072713 0.187129306652722 0.0626382703742592 0.208859972337547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.134264634326049 0.190903003686971 0.0516199729549552 0.116981470635277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0876935917413383 0.112428024521251 0.0591285396889913 0.0593144757646217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0779324956824291 0.134924039654488 0.0596799383566324 0.104351641933079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0761789468532903 0.197803062001041 0.0694246544931875 0.221763825975977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.23920927523311 0.294440374194694 0.162318974471718 0.249944187623105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.143377675448592 0.160814302261464 0.130465961489036 0.115456949163824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.116576664845041 0.167965739553178 0.1050552049879 0.147621988395022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.105102217933796 0.224516716060448 0.0965119823521356 0.263606853592763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.69640568232216 0.755664877610887 1.57983254241479 1.43596139077321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.38913113305576 0.387581539000854 0.885930191901542 0.655275532522945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.298080407082999 0.33513112913404 0.574949711197959 0.549009348269763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.252843796270336 0.363354827421608 0.408068338023203 0.624132926489922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.18747776696998 1.22276486682477 4.99199773980035 3.48630495337113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.634685871223618 0.635344193683314 2.38675537666639 1.78694702022637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.492158593815395 0.526074014711326 1.56719044248522 1.36352982919861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.420962846280478 0.524700703751179 1.11784130321357 1.3025128103868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax CSMEstimator(RangeKEdge 2) 0.0380608943063303 0.0404325069582537 0.00373234665407898 0.00701027946288719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax CSMEstimator(RangeKEdge 4) 0.0188839275301115 0.0198985037926821 0.00115691402428014 0.00197062950842817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax CSMEstimator(RangeKEdge 6) 0.0203971867195508 0.0217706823641319 0.00163729660486606 0.00251674581822155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax CSMEstimator(RangeKEdge 8) 0.0242759842657782 0.0260896351714307 0.00190057114726523 0.00290071316117337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0429500370464832 0.0454018489950354 0.00460229190984163 0.00845421257035509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0203539755935897 0.0214270817066132 0.00134678879053314 0.00224462141583479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0211588035796392 0.0226736132514598 0.00180413804892254 0.00279186448861968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.024897775171168 0.0266891470128717 0.00205624350460907 0.00312074442974887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0535834706055694 0.0562884889548439 0.00730880346399189 0.0123150935040342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0240918154237682 0.0252938950392637 0.00191243767719434 0.00308052912276318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0234948649199918 0.0253693943116598 0.00231111909662343 0.00361298784656654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0266221142307846 0.028810421984235 0.00246407026998981 0.00382397701610386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0820658707435985 0.0856611133841149 0.0193152952842186 0.0261561814543776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0349720251799678 0.0366773001183731 0.00436754793652822 0.0063828066757644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0311546206979006 0.0340595181216863 0.00445244016459184 0.00684331540873879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0322929219165753 0.0357925628288756 0.00410956551106664 0.00656864850442131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.219949151789959 0.225101212368466 0.176659543846156 0.152569370488978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.0899397148900029 0.0933589381503498 0.0361957745583056 0.0390843271949095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0728119628066216 0.0794009176155254 0.0320992606250154 0.037927399097819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.0656484318381176 0.0737700134693111 0.0241275388161502 0.0324993208277045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.365001284756727 0.370615816337936 0.532685044448175 0.376944470363379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.148927890952454 0.154231693726554 0.10867980221345 0.106751915324501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.1189418838477 0.127423908841749 0.0962453636799865 0.0973356557764554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.104462907549028 0.115568244763996 0.0719272223504418 0.0815733516843599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0714202287740049 0.0738480941417194 0.0147335296440452 0.0199282749298882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0311319706264051 0.03209024646117 0.00352555041970094 0.00493565576142906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.028027442394257 0.0308973861422753 0.0034189133742022 0.00561001221205629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0300048301904284 0.0331366932109168 0.00342689772542347 0.00540115327149302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.124223460301411 0.126712775584588 0.052112681514627 0.0533279822090286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0522201149979356 0.053381872425393 0.0118899365415569 0.0133940421012218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0430333353443306 0.0480101391841532 0.0097111796101495 0.0143061032074601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0416444573709293 0.0470032240936774 0.00834804803085545 0.0125586775042155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.238168906786048 0.239479593794113 0.219330545731455 0.168270527836046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0989312468524855 0.100080382689152 0.0502787191520887 0.0458551616175802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.077811369444845 0.0865268107491374 0.0383876632444904 0.0472793558725222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0693614660757515 0.0793460074804492 0.0298281758780932 0.0399312423255229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.711239580342445 0.716476694974243 2.24702392573966 1.3149158750139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.300665765203988 0.302857167682372 0.576952781268237 0.43244309184909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.23273405951872 0.249282762513252 0.430445131023444 0.39976390478084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.197764892654743 0.220744946304239 0.30996672707187 0.322739723694355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.22404140150076 1.22714884861478 7.19743873831062 3.91838475898374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.52845355757859 0.532534157169605 1.97056942728886 1.47999970522475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.397775200499035 0.41678660278482 1.3360197570258 1.13503151283926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.346529536549069 0.374413059214337 1.00921073679722 0.963592338937638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax CSMEstimator(RangeKEdge 2) 0.0560540961719892 0.072925903365515 0.0106305528183968 0.0307700725698555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax CSMEstimator(RangeKEdge 4) 0.0316238649877468 0.0576479224478226 0.00758749204106282 0.0219755831196303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax CSMEstimator(RangeKEdge 6) 0.0317267625239243 0.0732969215153664 0.00770732000555063 0.0446778982833177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax CSMEstimator(RangeKEdge 8) 0.0428627393333347 0.107550770135217 0.0139009321895029 0.096042613643165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.06097991992311 0.0785349553968342 0.0115525312313239 0.0324923157360672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0336405885218405 0.0607783351077903 0.00791950075249783 0.0229240132388373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0328475266736596 0.0754921502068991 0.00783241980881256 0.0455267287726705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0435791642186842 0.109537273411165 0.0139668021127228 0.0968296289191487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0708714121773877 0.0898427822902172 0.0141602284411973 0.0369129277602443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0382738932117045 0.0675338730648664 0.00910437390375948 0.0256524761952822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0356342077090219 0.0803200364089284 0.00841332632703763 0.0476777532599218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0454714234745673 0.113633458063964 0.0143112727860832 0.0987927472447909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0961614110789044 0.11842108222222 0.0241632507735024 0.0514000229798268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0512589856944949 0.0853118835720974 0.0141310243943727 0.0359409816266628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0434028023207075 0.0929643194731833 0.0107212871524844 0.0554119295067281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0509604432577826 0.124058854876677 0.0157685081157435 0.105152829044019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.222309419346257 0.253321698044333 0.136785425349155 0.180312213217039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.119240794439421 0.170991755850213 0.071047395623928 0.134404764260828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.0846956951518542 0.154385303428205 0.0365978316222229 0.123773091580976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.081764068038104 0.17477627364178 0.0320317019605425 0.158270077907274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.359601056024388 0.394519514289759 0.385965933312518 0.406550157049484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.195330887913535 0.259985909776636 0.199757485653766 0.312091427652089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.132963861337508 0.218644295471467 0.0948170259529045 0.240975205831986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.117911137323536 0.228517496829465 0.0677742865113482 0.248189785180646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0865806201064712 0.10824428293395 0.0200110877622727 0.0460824237055321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0467587618466368 0.0800781680885073 0.0124185474056837 0.0326546488476995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.040684201569979 0.0882417769345603 0.010169126944245 0.0520857910131544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0493130883512797 0.119846844885735 0.0155552066502634 0.10293075138651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.134276833407035 0.161103733585748 0.0478009170737949 0.0830127394163122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0718820416352868 0.114241289588567 0.0263073417301337 0.0619955025361298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0556419138001796 0.111929695511227 0.0165810934396751 0.0716291104664466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0605082382637186 0.139438010071825 0.0199409899787782 0.119257560489584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.241993120271424 0.275412120901886 0.166261283652136 0.211619740867807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.129772173470356 0.188524540460988 0.0857232556803968 0.169868033538264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.090008808174774 0.163197633473203 0.041913334133669 0.140605215673311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0872632845118182 0.182874851578239 0.0378877796935762 0.174526116712453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.703349835326509 0.75146084896787 1.66014318923392 1.3327407207871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.389666247397524 0.479524040945513 0.881473635847504 1.08993868439034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.256531221967523 0.371722840553104 0.396156862484621 0.730998232502228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.222656767220196 0.359901059693945 0.288684900555256 0.619386922839843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.19391900913274 1.25462916874186 5.25888485261397 3.47045525249086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.658919155587035 0.75543835413642 2.67374493568004 2.65588244389184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.454952098982946 0.5804985356736 1.34959491086483 1.72455008214651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.382265477488239 0.539515454068339 0.918819828650535 1.37219967466019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax CSMEstimator(RangeKEdge 2) 0.0739398826400605 0.0852290013018793 0.0142671993287889 0.027182871900799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax CSMEstimator(RangeKEdge 4) 0.0539225357726892 0.0516207062002923 0.023200457187439 0.0175405949586677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax CSMEstimator(RangeKEdge 6) 0.0560501733114146 0.0528487624555474 0.0226311848898819 0.0175873662162182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax CSMEstimator(RangeKEdge 8) 0.0618194826421943 0.0612258521258539 0.0178404978144336 0.0179695884113837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0766828573865176 0.087729658480182 0.0150393658987828 0.0281280347654448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0554647931238218 0.0522478557759175 0.024467611250769 0.0174858006897988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0570799108833732 0.0530113431360426 0.0235857350669378 0.0175138618950965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0624489379951651 0.0614213683055693 0.0184708666599189 0.0180196678511874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0837094261502315 0.0939863863045872 0.0175705634030397 0.0310264091875297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0589926259340095 0.0546399406263041 0.0270510260551506 0.0184834160973268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0596406768774592 0.0543565902974189 0.0258224393093114 0.018154025211622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.064274701591067 0.0624583431645846 0.020021551366833 0.0186224041105474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.10567744922221 0.113637548124218 0.0280937900302058 0.0422645878990869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.070796568787554 0.0637520421541245 0.0369155095437779 0.0237267772981351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.0679459446666153 0.0601976850950778 0.0332286035785686 0.0217385299657415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0704701143421764 0.0670271605036061 0.0250977662360278 0.0215581918753275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.230363170153586 0.230404497408949 0.15056467583538 0.149953687126007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.144008912668154 0.126963842537036 0.13612530400869 0.0834596200644515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.122917119372161 0.106345150362523 0.10445859214696 0.0643756507360739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.113965637636904 0.102798882881251 0.0752060597217324 0.0537213636708856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.369286396581517 0.364704051316692 0.421059141638226 0.344892773241232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.227800609063967 0.202387374425694 0.336222751858875 0.204305922616407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.191114230254411 0.164261422381359 0.248734233330196 0.149718615345509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.169911468907916 0.14835884245666 0.177686871978799 0.114342055995952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0978732991830224 0.105752081889839 0.0241976630905563 0.0373596632894628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0655411975915319 0.0608364967392159 0.0316630919643198 0.0229730404987951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0636390335706266 0.0592335410901273 0.0285584605501865 0.0218084730544261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0676313229066279 0.0656348457508703 0.0221990424706024 0.0205223432771125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.143706654947244 0.14687657801807 0.0545261874016576 0.0658926619669083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0910634655533978 0.0823024223205711 0.0567598157793003 0.0389266783238574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0818785008903517 0.0746933191139641 0.0462926951210237 0.0337851945677222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0817831788432352 0.0770413187612192 0.0346737354659432 0.0287878866383493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.252298346655632 0.248592353566878 0.184628044373289 0.170646395497613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.153674682245419 0.137789670190612 0.154130557708431 0.101525708515806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.130283911117278 0.116371981056177 0.115210406338448 0.0808391141498152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.120327085357363 0.109215462404607 0.0834625375856593 0.061522664574099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.721381414552988 0.703844838345693 1.81731423498623 1.1386086637133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.425630612196596 0.394650961489346 1.22085983742132 0.798561739868879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.351716815048502 0.318574906675607 0.873645225104247 0.569781952758926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.306491596538749 0.276239756232166 0.620050521977559 0.413975041768268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.22639737311328 1.19074251403503 5.89764556039462 3.03816471944553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.694271114972037 0.658939386332738 3.39597073182507 2.23702094599977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.585310810400043 0.536192313148337 2.50206522797522 1.60153951924047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.511449940676151 0.468183163838602 1.82674796160365 1.16427092861577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax CSMEstimator(RangeKEdge 2) 0.09296025905278 0.0964227179792153 0.0316244110248965 0.0455116040941336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax CSMEstimator(RangeKEdge 4) 0.075426795860718 0.0887589263654744 0.0404730027937628 0.0561187730966128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax CSMEstimator(RangeKEdge 6) 0.101112002532361 0.126182496658904 0.0908103850784182 0.147821058823792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax CSMEstimator(RangeKEdge 8) 0.145908106317698 0.186758234488259 0.195729745617281 0.330452732700705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.096106765633795 0.10024111856777 0.03262741057546 0.0470592448600366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0775474546238385 0.091264705064737 0.0430584004562003 0.0627503549058323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.102399147831796 0.127778981072277 0.0926244457384582 0.151749923081912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.147173764296392 0.18816010114033 0.198247095179913 0.333183716498278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.103415771975102 0.108681275392231 0.0353973944133525 0.0509184388692566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0819908918615323 0.095509997880391 0.0438625718202105 0.0647751140987136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.105133036074085 0.130654207713277 0.0939477674237926 0.15638959144044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.14956224804805 0.190445036095355 0.200155645088303 0.337259825760046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.124843962236727 0.132139707851729 0.0457281960658182 0.064396136592578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0954978570188036 0.10815060320243 0.0536052706137119 0.0705798470634277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.113468469929467 0.13840238976899 0.099785205655143 0.163167197910245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.155958792429957 0.196086432544018 0.205105334315316 0.344202817046245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.243956037914671 0.256063849616702 0.158383243704018 0.187710286584255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.169846757963486 0.181910480258258 0.144577630252921 0.161650613963928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.16406104707533 0.187744227281654 0.156082050681261 0.22918893464603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.194003008675217 0.232583898758776 0.242938258616573 0.39396710539839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.377291289727964 0.394022605418565 0.391459276746751 0.416090457121235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.254016383414362 0.266424545484856 0.325538661367293 0.327918323872027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.223344843435841 0.246197388378136 0.264639520409432 0.339258311908411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.240790107240698 0.27795219147325 0.320129879403063 0.478125218642484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.116508565162978 0.122757083815417 0.0413829345849646 0.0582037584650895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.0896351478037249 0.102590134344485 0.0490933639462112 0.0653027836550539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.109268361990982 0.133908123348297 0.0957986776018013 0.154049138088596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.152509686186727 0.192765704615343 0.199626189555991 0.335957663782134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.160000015111918 0.168356590431266 0.0700821141951887 0.0911394720614872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.117106928239843 0.128904320305669 0.0738514607566645 0.0901889496709841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.126681994953145 0.15009526329506 0.110374125295085 0.172157466412754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.165798618766655 0.20480093826721 0.210412306035285 0.352201472311974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.263026598606184 0.274875310917663 0.186322829150595 0.211959266784759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.183612060265498 0.191716896242857 0.173458077695423 0.177695143869716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.171081024170981 0.191092139195532 0.168600655858372 0.22882275691497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.199776685358093 0.23568015859109 0.251137469844856 0.397859775061297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.715294261573421 0.738137996472189 1.58620109156578 1.36385962665561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.471403134504391 0.473390983775216 1.24919425691124 1.01436168817178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.381311269156948 0.390165862322484 0.806349658371602 0.761132378008833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.367892122218448 0.394592640856154 0.686456533081145 0.795579613633343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.18685899277573 1.22077926296333 4.90687771885473 3.54735962377499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.76202231232204 0.765651868896709 3.46295616727054 2.67996703314341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.612649200411898 0.616873258280822 2.1921908800778 1.86998603561959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.563577290745143 0.580370240824694 1.66177962904221 1.59146638395473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax CSMEstimator(RangeKEdge 2) 0.0423783280369312 0.112179435639047 0.00604286047166069 0.0465967901986891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax CSMEstimator(RangeKEdge 4) 0.0563376820844249 0.0462304408684316 0.0294323883668552 0.0110314299143472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax CSMEstimator(RangeKEdge 6) 0.0623583879321556 0.0459371850055154 0.0293078355631683 0.0111489031282557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax CSMEstimator(RangeKEdge 8) 0.0671170255266179 0.0560933672849001 0.0303284393992673 0.0141432045538616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.047704304309744 0.112778816680414 0.00774507853512382 0.0469626128147483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.055440239563738 0.0467665794969062 0.026924787185749 0.0113322606375561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0613118828787269 0.0458889353686997 0.0282831480114205 0.0113190334289571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0647219324761107 0.0558036055242282 0.0286429084554173 0.0140732969998743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.0601494913971921 0.116211495237293 0.0122352675546851 0.0499039493640847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0570034839659213 0.0477092885395846 0.0272963767014135 0.0119961233577605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0614155797499534 0.0463041705601182 0.0288026991752611 0.0117984641925265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0633256121734949 0.0558318124832109 0.028244663677108 0.0142026443665769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.0922907767959042 0.128901117524922 0.0282791837117437 0.0606049710731017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.0693680374783734 0.0526981396715242 0.0368024306302337 0.0145615739824583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.068716260450562 0.0492947196015742 0.0360918397633082 0.0138654202221821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.0690250466130618 0.0567589987142357 0.0340396163737764 0.0151951660846909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.249447176016146 0.228245595229322 0.219818165458541 0.167194606947108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.16206364473853 0.103843227366409 0.161427121232645 0.0505895711644006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.148170605367923 0.0822369739708787 0.138340334057869 0.03750770318718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.140207176522379 0.0737033085092503 0.113919735256463 0.0270868273834266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 0.416098268729305 0.351228210210294 0.625173933541085 0.365233888719976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.254238966746556 0.182342661160074 0.364268354504718 0.167925234019981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.231890335825489 0.133050711888678 0.319739919326351 0.096814436020989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.226757972177522 0.10426433240661 0.276093917738086 0.0548045235196706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 2) 0.0763959104760288 0.121271800923996 0.0177443737753836 0.0540704305022532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 4) 0.066385956865015 0.0506501816795271 0.0395488199700776 0.0134970828104759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 6) 0.0660918878076185 0.048449144402622 0.0330016189328456 0.0130275211254023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax CSMEstimator(RangeKEdge 8) 0.0697641508942398 0.0573210322106571 0.0355371404425698 0.0152069139340016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 2) 0.133268947737303 0.149886319865517 0.0524778670534674 0.0783473303659193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 4) 0.0939577859847099 0.064232439263444 0.0712135849430601 0.0208916012861238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 6) 0.0880381844404559 0.057345939430952 0.053452368983212 0.0182574219052021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax CSMEstimator(RangeKEdge 8) 0.0892680436387287 0.0609648913525458 0.0575437811126615 0.0179741811483298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 2) 0.259229815291995 0.236578836617761 0.20864423851139 0.177869057621659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 4) 0.165744832010651 0.103212845541174 0.192209316447176 0.0489141350673896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 6) 0.152409595405837 0.0843239136835315 0.141360895178947 0.0377213236594291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax CSMEstimator(RangeKEdge 8) 0.147212477491588 0.0759282067237954 0.141677286095407 0.0289995216675253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 2) 0.772859042260552 0.66416238430597 2.02639984263069 1.30614203027749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 4) 0.454527070341742 0.312370693187054 1.325924696577 0.436435818592608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 6) 0.409772958838266 0.256848169535199 0.909725952948265 0.339995173686019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax CSMEstimator(RangeKEdge 8) 0.405182628808279 0.184856564459919 0.951930825393398 0.179010579687028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 2) 1.28855429348247 1.1375697063839 6.20336043772256 3.81485025392991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 4) 0.754512640541129 0.541314397177873 3.71818463133414 1.41315684408055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 6) 0.692263232420662 0.476132687493819 2.92267915942051 1.24741756495326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax CSMEstimator(RangeKEdge 8) 0.660806644352333 0.357048017797678 2.54520517493589 0.753039426083608 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax FunfzigEstimator 0.00847100654162596 0.00956068058289692 0.000139553691901628 0.000470301109979169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0475047651675638 0.0390667961057039 0.0062518264265621 0.00515971140447844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0928276035922973 0.0786355039062252 0.0267003542492865 0.0176714182687987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.183667934688667 0.162957387757972 0.119561633318487 0.0619890592484445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.560671338444637 0.530510984416661 1.34071820362742 0.481797184705872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.957278667662136 0.917382274454199 4.05956247497439 1.3036076776825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.159745969268536 0.130895413140616 0.0839638471368879 0.0373796055380677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.313258707122627 0.278482224167469 0.373199934807442 0.137799579704537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.632624151249829 0.590089508571951 1.68130479545701 0.528922680006173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.99169514648281 1.89967640203042 17.6567512810303 4.74947618167159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.40565281654986 3.27029642525709 52.0316204302657 13.670523755047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax FunfzigEstimator 0.00625665967790436 0.0102467978366742 3.7224959987478E-05 0.000415236267130994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0492525170419095 0.0468248480868599 0.00633757120175465 0.00676688919899328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0975395544559396 0.0928987107323873 0.0267492977091538 0.0243051448941279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.192592855641897 0.187345464221752 0.113170758504613 0.0883556523272589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.574254715911098 0.572850550077606 1.22740533574331 0.64128833661818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.969988548224371 0.97135813397251 3.83491152323587 1.63471863263342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.16424657793739 0.151958141360062 0.0844820623388481 0.0627735264685015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.320462193705662 0.31128900849857 0.358242296338048 0.231271425624511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.634218769707984 0.636816134831865 1.60921409951266 0.835094358008759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.03980837102191 2.0401210178608 19.0140793026289 6.85854259246882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.63746889273121 3.62214897628958 62.215836691834 20.3003055099403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax FunfzigEstimator 0.0113821776010353 0.00633266462782151 0.000146957861889656 0.000185480702208237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0442670828013869 0.0340097915943403 0.00533260261414737 0.00314614522144173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0881550682656541 0.0662767395311296 0.0233293827231527 0.0106000151695249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.179015491930495 0.132105088492135 0.103572567051804 0.0370965481054802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.546809883364377 0.430195187180802 1.07876107517504 0.307219150044416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.910929477818468 0.763167843809604 3.1680000442392 0.88380225245746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.140840533577493 0.109158213064079 0.0668542699057513 0.0274594808580044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.282359092804323 0.224871177338106 0.290209212554451 0.101985782245888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.567190757937351 0.48083759888093 1.26019061267502 0.407569892847025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.72917542312361 1.65437759110322 12.9247038847326 4.12313264127739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 2.94817712039379 2.88302543527875 38.2691207573123 12.1679107755545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax FunfzigEstimator 0.00904016395830868 0.0128907777165509 0.000118112322778362 0.000716094811969003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0444818450294869 0.0505461361998367 0.00539983918991525 0.00837072927939171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0877303033850562 0.0990693568599232 0.0224055261420408 0.0293039946413985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.174293126736553 0.197620105672836 0.0946628036950229 0.105819710236466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.535496070008478 0.585198606120618 1.0832400404055 0.73135411591747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.920096974111901 0.977419341875194 3.50978368573186 1.80008254737508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.151685152939806 0.169555891394618 0.0692644588116806 0.0813464589777774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.305948532709575 0.338153001139148 0.312336500382819 0.283953778343022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.629132803300366 0.675854459136322 1.50813710190536 0.958061111592475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.06158680861335 2.1003101908916 18.7473868567248 7.35886909408878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.63439851822593 3.69085983522094 60.0592387482502 21.4426327462854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax FunfzigEstimator 0.0105759545194564 0.012086537279432 0.000242303542349364 0.000674859968905574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0424607827695407 0.0562516890950377 0.00499859871772001 0.00980709901856786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0836603442728538 0.109852405333505 0.0205949904397831 0.0340154504930015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.169595435808677 0.214936750140097 0.0914874184316318 0.117892675799198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.540186027312121 0.614219324822564 1.11300206614285 0.778679927081202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.945185844161898 1.01165926176537 3.68479619967941 1.88170176290326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.132055433845324 0.179517011381562 0.0559788974223903 0.085568763030083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.273020000409156 0.352162313555623 0.260770567629616 0.289811320482888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.573093499798933 0.687479218994659 1.28567846848342 0.953188999647599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.93264444659463 2.05566086706801 16.59002933131 6.85740147624298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.43171098797597 3.55969342021315 54.0990115335991 18.9565218945284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax FunfzigEstimator 0.00657955503051976 0.0129164746167779 5.14996008712141E-05 0.000762692277085139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0345627129513906 0.0486269024732994 0.00331223844176969 0.00777772269441835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0683626523870031 0.0960059104420916 0.0139176196235588 0.0269611006574084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.13706354470009 0.191347456919444 0.060075108975712 0.0964457750681299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.437556514479095 0.558304009226215 0.736893704719161 0.65376648529257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.776939402299674 0.915454901396532 2.51827890337512 1.55030223510414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.112245148509176 0.153153034335249 0.0381655247408056 0.072605919291116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.234116588338787 0.295732359459141 0.186652632052064 0.23852413484575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.499303757746215 0.569034333694467 0.977199919823958 0.757580918797804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.68188387993262 1.71533923793939 12.6834988875783 5.4290574796564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 2.95883252108008 2.95137489696619 40.1533177158204 14.9091984184279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax FunfzigEstimator 0.0144911824408474 0.00625714968687584 0.000107344703221041 0.000137039088389019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0521069509290149 0.0364676138572346 0.00611288349090517 0.00373588468986944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.101632768445837 0.0726440327448348 0.0267297494831503 0.013822659743341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.200054987571294 0.148258639504313 0.115227644461375 0.0521193194560207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.576275816776337 0.480346062122232 1.16988153770495 0.443837531824288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.943287216196358 0.844425249931217 3.47450542341464 1.23206344836193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.157289452397763 0.119890861572312 0.0706111635295036 0.035743936119591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.308640027375724 0.245178637862235 0.305156904595386 0.132700851052228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.600874558875564 0.509465751104242 1.33525225528523 0.49697338406739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.81569794238177 1.73511514464806 14.4126771887523 4.51604750289463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.11925753676174 3.07271752095034 43.9862686940485 13.1006279366903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax FunfzigEstimator 0.0112144060467424 0.0053412751703251 5.10637326453919E-05 0.000111890929219453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0459245186892823 0.0381970274850984 0.00505106197282705 0.00419803674712073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0897921121262227 0.075992429687126 0.021860973878064 0.0155953027163283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.177830819480226 0.152646289763069 0.0938940472730952 0.0582879215321727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.524874139717039 0.475837536075185 0.971928157615665 0.463318184247764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.876128813365842 0.821472706936735 2.9726818788625 1.22172836436889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.154705145235642 0.134030168529357 0.0687539335313188 0.0457840721553414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.309019757626785 0.266890668550635 0.30198298090182 0.162141539528226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.614433851835728 0.546225540843452 1.34980247622673 0.573959466714595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.89732940541936 1.8066385720889 15.1530574132705 4.82102037737589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.29664447814835 3.18041327774233 47.4354506676138 13.9203722556546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax FunfzigEstimator 0.00874790723269709 0.0134315991047539 0.000107996722584998 0.000771252758786884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0509400680685831 0.0502516841338428 0.00667827745252169 0.00834048866342378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.100454711936558 0.0986567210717312 0.0277073286350349 0.0292188450135436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.197750256103871 0.199325801128185 0.115257847666821 0.107035301876307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.584937741719284 0.616633972723063 1.23058290629782 0.795814771904436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.989271331190425 1.04045041418147 3.92106384915212 1.9973756204415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.148593537422821 0.16796884505437 0.069760066860149 0.0818622757844756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.296607976630195 0.336551832557581 0.306177874946954 0.291814243790843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.608003129748496 0.671619178449059 1.46677647922316 0.991828705699155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.99454694988635 2.08182634132489 18.3847754670026 7.47056493754677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.54654222718133 3.61712560961928 60.0488495253217 21.2917407161599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax FunfzigEstimator 0.0110722514965217 0.00601422188095526 0.000200112457647348 0.000176009666234698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0424379152995225 0.042733860810766 0.00479848060915717 0.00477187578511414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0852747234947686 0.0826195769483063 0.0211590612889554 0.0159872651419716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.175130070260526 0.161119819631179 0.0976763005621912 0.0544544441424245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.536035513735791 0.490066643685099 1.08528651347574 0.407124957632159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.902677040615605 0.844074750507222 3.30203292770746 1.08278917084476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.142810632592892 0.125395496632687 0.0673321808481177 0.035568909339053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.286022509530723 0.252886545254906 0.298069729451869 0.131709759529378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.574139972777279 0.52775682475499 1.3365381807674 0.51351475124259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.78319363473746 1.76850677232772 14.512041207142 4.90661752050707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.09817789171255 3.11815441046604 45.1849239700825 15.1490447817744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax FunfzigEstimator 0.00576287844553096 0.00387187609688944 2.56533141742375E-05 7.70657336727977E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0451447991041347 0.0278018276713513 0.00498084709180336 0.00215068327581009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0888253030077179 0.0562337798831002 0.0212541497775065 0.00767292359196063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.172996424825917 0.119419264519723 0.0906446198508828 0.0288483987384618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.50239768231971 0.421781500150697 0.923654155925845 0.26652835587553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.837870417997156 0.74602022332136 2.72321154372822 0.757924171261683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.139962462162166 0.0992578171533421 0.059849557040372 0.0232676410835223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.271828068212655 0.219395968921563 0.255296096860883 0.0934381285271398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.535270889421767 0.482702840582431 1.10543595448097 0.37805815383477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.6358406869633 1.60756602149924 11.1757031754425 3.55367482846752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 2.76406426029047 2.76374825947155 32.3207170934413 10.1332462889639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax FunfzigEstimator 0.0112250490202524 0.00925728505142068 7.13925914997767E-05 0.000380671074103201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0419800626364699 0.0425298160121671 0.00399041342699929 0.00575221358896811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0822171608778135 0.0834332229253819 0.0174617223156163 0.0203072338704223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.163825870215682 0.165805146677264 0.0763562240005753 0.0733493018921864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.493129342318311 0.499597017752815 0.831435251985479 0.533014654362152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.837238793049263 0.842072308736751 2.62236940242404 1.33116954070666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.1359752863516 0.140535267823966 0.053975946117359 0.0580465756870241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.270982993512715 0.282576586061947 0.238084097838326 0.209158754743936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.551828433814938 0.569372171639837 1.12046592379047 0.723510283935908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.77606245161787 1.78998482280946 13.5019709873093 5.419880791939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.08402180078145 3.10158463804277 41.8533984971411 14.8553189491095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax FunfzigEstimator 0.0193787436924349 0.0152632789700242 0.000717576477375485 0.00107595931765734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.042311130937314 0.0516253500679815 0.00500333949919372 0.00797478403664528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.081546203868654 0.0988855945766125 0.0205766322639849 0.0250868456624513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.167414566905232 0.192803424356822 0.0944293431756831 0.0830764152644205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.54658973054098 0.565607423734129 1.12769394933133 0.560971855804454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.955827059218312 0.949478932774996 3.57327285970186 1.41010826604674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.118073331542832 0.163229112738448 0.0449104434963219 0.064679218454041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.249800479086054 0.320789890058046 0.218959914344664 0.217518357080547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.53412634290874 0.634778793846848 1.082517777252 0.727263587418533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.79336534813297 1.93386748657905 13.2763912628893 5.29970615215732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.13194349971283 3.29444476015393 41.319231039864 14.4175326213786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax FunfzigEstimator 0.012701136630501 0.0122087237955586 4.17612932781658E-05 0.000648800762957435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.050106945689993 0.0452414154807715 0.00569520135037505 0.00697454053389725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0982046035267159 0.0882221821793192 0.0249017757989693 0.0242701879323066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.194597063987076 0.17653336879041 0.107072880348107 0.0884064083080019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.573891837915733 0.55353167288102 1.12130391640632 0.665974955913927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.964750800452802 0.949792286090653 3.49354989218272 1.68695310620265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.159377186152617 0.133648527780555 0.0700766479358882 0.0488074391091609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.310844598410793 0.276327199666508 0.294971705745032 0.182732175200589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.609902585276076 0.581270118526328 1.29533479397937 0.681518402786674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.91498487960369 1.91168487477735 15.0830633784918 5.64703664563726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.33966906672164 3.33151996771131 47.7037335821314 15.7450390200772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax FunfzigEstimator 0.0108662508233565 0.0119010088838477 7.54419792787431E-05 0.000603785061749686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0398627544964802 0.0468181724006248 0.00379352102175875 0.00664801833622449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0776254557013251 0.0920478629041219 0.0164068568650321 0.023067589027537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.155159728853413 0.182171569322408 0.071910650421643 0.0827543774104294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.484656886233866 0.531335740900523 0.816988961966689 0.579353116431171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.835935301391481 0.884083694075664 2.63270461835003 1.41194513293262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.121844676370267 0.15245111430514 0.0450913362778841 0.0602934366155874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.249938351503003 0.299442990416792 0.208862387638636 0.206791805511743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.522759318141998 0.586433576303398 1.01305636125879 0.682832990504293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.72977973022975 1.80502004763913 12.5092091183522 5.05542206805403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.03761897468275 3.11023090423574 39.4367293271545 13.8039944773869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax FunfzigEstimator 0.00994529003605437 0.00892899443660419 2.45552196015312E-05 0.00034990533560016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.042753992634095 0.0380764403818408 0.00416254381199567 0.00478740090289611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0840431857784144 0.074936264353406 0.0182183397978103 0.0168040547612886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.166577622663213 0.150818235080322 0.0786514168032501 0.061375242598102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.494560815014808 0.46721583467535 0.835863366446571 0.453250470504506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.830364882171793 0.802977261455154 2.59142481530115 1.15516795936163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.144015547237558 0.127729666633237 0.0582314885325161 0.0452910455915474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.282839458229158 0.260866906501499 0.248814779811634 0.166486767509361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.556118382219809 0.541050499483179 1.10159831862279 0.604940579953118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.73429040401879 1.75632285582012 12.6019671930252 4.93160551310874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 2.99013520036531 3.04877202503716 38.6306719155248 13.7047285411834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax FunfzigEstimator 0.00898443447856821 0.00823926509168316 3.33891224674454E-05 0.000290772911684559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0408886202178073 0.0388456312629741 0.00382990297572267 0.00476392508277559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0803955806620465 0.0769869941039284 0.0166616526088373 0.0169636120861505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.160177136160705 0.154103423567888 0.0724474452869077 0.0616810249972578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.48541639846572 0.471483611856576 0.792319653362054 0.45837362666415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.824013448737003 0.810110743621458 2.48411547705708 1.17693030229429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.140949600685382 0.125486856226613 0.0536518010756091 0.0413673254097289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.280838043376419 0.253109249188551 0.233471087242615 0.149384694234064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.560715663123416 0.516527246792382 1.04807446804597 0.528463221051002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.7423577829689 1.66764709078699 11.7573837996578 4.13178394772462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 2.99241851749524 2.90745381268171 35.9528159653604 11.4105394957143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax FunfzigEstimator 0.00964484429704267 0.0110819906192958 3.04114078125594E-05 0.000514896596143539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0394120517947037 0.0445228125585164 0.0036653430001363 0.00605925288016558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0774893785699727 0.087128076847373 0.0160041029786713 0.0209954397223611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.15531320592203 0.172557367507032 0.0698812980287311 0.07514437793739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.481045204971516 0.511575482933392 0.776311845345994 0.528661973168849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.825048312327438 0.858401604706942 2.47367224104644 1.30193648406725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.138550141672091 0.137149473635278 0.0565714383127939 0.049872134057545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.279009489804766 0.273034558719961 0.248398367688506 0.177463167723118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.567819767240034 0.550619352293515 1.13438478898437 0.620244031832178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.79923573431407 1.77489446881926 13.1888679795549 4.99524582315867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.10438385853859 3.09302960530269 40.5612018992657 14.1192835028373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax FunfzigEstimator 0.0124910959807037 0.0118404409220684 7.85041812610263E-05 0.000612184986046849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0456607054978414 0.044930621003368 0.00483939232522056 0.0064340570900631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0897570863754341 0.0875402763744048 0.021144393150585 0.0221233697297125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.178976037055588 0.174395391349461 0.0917311854257667 0.0796662101285527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.541969239912884 0.529052419333593 0.998053949374548 0.580881461131563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.918017659558198 0.89407263157839 3.13483969471451 1.45306926866492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.134696795554692 0.128558544145616 0.0503123835265098 0.0473042353444831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.268171126385329 0.258950640106307 0.220141471063758 0.171028087587856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.535743836393338 0.526636604291429 0.994608267404327 0.596271060101124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.70556165093106 1.69474503149372 11.8840395543407 4.64569286254647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 2.99010357745057 2.97498243185885 37.9292179052891 13.0410596945652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax FunfzigEstimator 0.00983115374420832 0.00518306092868151 8.91994246323727E-05 0.000116918206161288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0459216917007957 0.0353275545762101 0.00519630473736083 0.00325255151837123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.0907987204488679 0.0701691015904192 0.0227719656906038 0.0114891536364604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.180962307036794 0.140782355587199 0.100607621625682 0.041417840284573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.534239801279774 0.453474896265864 1.04562411158994 0.34066629421301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.888880516591729 0.803536105523486 3.10848786953799 0.954226660589096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.143344172043699 0.110148258154163 0.0624832656166212 0.0272934367145089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.285294540770474 0.228088381802678 0.276302173547753 0.102105326693412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.567059578758498 0.487861626406431 1.21654197467187 0.39879269226078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.72351106163005 1.67037110438822 12.6855959629839 3.82513022571666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 2.93621507196408 2.91237286250374 37.7147686401181 11.2029498608693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax FunfzigEstimator 0.0590553841969075 0.0184323943560081 0.0160660497623622 0.00100742604568696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0886556876616678 0.0378211127992885 0.0310721820540755 0.0037967997935123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.139184670406424 0.072806966397038 0.0713803112243494 0.0124247140440968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.246299567994664 0.159240420663952 0.225232480976522 0.0498231016546886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.679897246128872 0.58068768711244 1.91279369095753 0.507869872670968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.12478619105915 1.03081522059757 5.43297788720014 1.47701725310083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.201698476581373 0.121575851600885 0.151049846030637 0.032263216598234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.370733732213834 0.275299969847075 0.540883667054883 0.137557277840012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.716879706811286 0.619830189775288 2.16527347644366 0.601810666530652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.1638959289196 2.09393620720548 21.2111342437612 6.47255435358773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.69588965537183 3.66808402462533 64.1233785189874 24.3202892231415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax FunfzigEstimator 0.0545888755256131 0.0549176662553308 0.00873877698427564 0.00953205428321321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0718855601106236 0.077824189710219 0.015789338832884 0.0177032694909326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.1123152847429 0.120442437060484 0.0387751918712282 0.0403738317142821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.206024240858202 0.22172476946911 0.137647135336669 0.124925031792873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.620090267838571 0.646692944847277 1.4855869788692 0.847288290193362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.07206997856961 1.08911362866561 4.78799591315994 2.13088134213065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.171691662407929 0.171673415299581 0.0911254765620795 0.0774011647711008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.327664215943476 0.33465443292102 0.368234978977427 0.26339208555105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.653091017778393 0.682016864109344 1.68430125684453 0.936187052922528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.13807933361225 2.21387996667457 20.7182131889642 7.81551619930296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.86148269208201 3.89924373796613 72.7733826442323 23.1015066338177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax FunfzigEstimator 0.0718619827576392 0.0608012019271959 0.0265970088792031 0.014320157045541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0898651936798501 0.0896079031504556 0.0367860444823788 0.0257216847385895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.12575421208923 0.136418841632805 0.0674362814876849 0.0510108552026535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.218972631104181 0.238749504143136 0.19863143512248 0.133858775057013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.663991311916383 0.68205046948192 1.84627005715519 0.835172990623945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.14275273411929 1.15202142121871 5.59029440689417 2.13521792890695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.197261366002101 0.205612995590359 0.160284068745869 0.106974550414857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.384034282276011 0.391608106857517 0.602324911612607 0.334651474187336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.792453717351292 0.780952411429308 2.6364643183646 1.12415395699187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.55966956650552 2.45480590209899 28.5478431923125 9.12920706498157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.40672217930457 4.26591554392231 85.4752529696032 27.1644372860116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax FunfzigEstimator 0.0730006361118652 0.0566023191793569 0.0151486075219173 0.0101836276660726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0939420295217479 0.0754768160525015 0.0250961502323927 0.0171606227359554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.138877308618062 0.115183468777871 0.0557427877135135 0.0373067269420877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.245526209141151 0.209039309854482 0.186272571041667 0.111407604685581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.696646949460009 0.648830999287019 1.83381348704752 0.814844604431608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.17315253736428 1.13493090221426 5.67955910889805 2.17418955859213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.207646318233839 0.173584169552342 0.130868770432301 0.0763914965843185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.385272821321239 0.338514167330578 0.502068426957017 0.261879561258775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.755783251662372 0.698199292948802 2.20500611045354 0.956735475322567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.39251793059257 2.32557027308447 25.3991588288881 8.520738612971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.2146168012301 4.23338315284174 82.7180411103997 29.8786440194856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax FunfzigEstimator 0.0604809757853075 0.0690958267036174 0.0133870328599802 0.0156464760979867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0802893167528358 0.0915643805162366 0.0218458488114858 0.0250592757782036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.119642192867474 0.136238557126343 0.0468195937651747 0.0514451741510875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.216242071813573 0.238789960317792 0.155781948207335 0.144637038859171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.662805035800724 0.666994675187367 1.6728035285251 0.89315684116358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.14830887814647 1.12069642512566 5.36961776341303 2.20150222337606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.170789234177804 0.210474999019158 0.100024742026987 0.116992346933986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.337878171297574 0.395170339346294 0.421561332114406 0.362172903546799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.703821368391091 0.770560690523158 2.02687484188043 1.19044562344227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.35222238834084 2.4279362244851 25.0813361126336 9.50286745169329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.18680787900474 4.25344897258332 80.8284407230242 27.8246318385217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax FunfzigEstimator 0.0510961177121724 0.0466442988465142 0.00794521268611065 0.00714036813343294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0739684881011282 0.0663128502713329 0.015463983959724 0.0131014946625053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.119560020606231 0.104301241913381 0.04085826390272 0.0290356734246555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.220102724812773 0.191725338777625 0.150380476659848 0.0875853441532519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.644070878758406 0.590459671568509 1.55546333606233 0.650202741714819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.08858625955119 1.02961681047489 4.77978075504369 1.75506749482107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.17595554667316 0.154394492887383 0.0990533430574601 0.0637546927822929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.334016708950469 0.301233826942816 0.394472311952807 0.211962952258462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.654176673791403 0.621722645805305 1.72483702027352 0.760283902717009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.04423235963339 2.05186136632122 19.2122049198844 6.49140770877846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.56316188778824 3.60558937997892 59.5685353415473 18.6662223427298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax FunfzigEstimator 0.051598357588684 0.049190928850108 0.00859540029142033 0.00760515687264407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0725894154367603 0.0736698495941241 0.0162480311103913 0.0151220226509172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.112814343096235 0.11532218060462 0.0395523220890829 0.0343938773157765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.205844451216578 0.207423930460059 0.139780769918972 0.102077507273432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.617150692799121 0.60666158673752 1.47545722547633 0.690185491100779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.0579165605106 1.03501410050579 4.61977559407123 1.78584125673989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.171290760313368 0.16390165896598 0.0919449449445997 0.0661961731745182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.329244482405165 0.32151878108623 0.374833979085264 0.220465692207352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.66213745869095 0.663867517290071 1.70826530375173 0.784502418872654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.15412088316683 2.20689572403464 20.3327232407632 6.92127182711421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.86372597259866 4.02021773232372 67.9623281510667 26.6746624753378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax FunfzigEstimator 0.052086942122159 0.0577873233015093 0.00935157932009155 0.0104060095476674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0723604883006819 0.0804510363481983 0.0164555890776897 0.0188082281594773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.110113254954933 0.123224778190056 0.0376023350378915 0.0409992860034189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.198211702429702 0.221108680951752 0.128136603229488 0.119857385156327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.592953580785042 0.634279670994971 1.35308514971172 0.777370783206106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.02010416678878 1.07087350809386 4.32680864999409 1.9692618807943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.161351608837737 0.185637739695344 0.087362607371137 0.0892966079019573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.31733447665562 0.351336527832886 0.360009186003937 0.286357119948027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.653413630221378 0.69095162264352 1.6780965312816 0.959316378832413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.12928954551115 2.16572296121062 19.7930179933278 7.50166095020677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.75046728184784 3.76343257601099 62.7548286756178 21.0847941988741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax FunfzigEstimator 0.066670691514882 0.0675764634526774 0.0135647140710414 0.014542797642478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0861634760016911 0.0856926214925389 0.0233202095193956 0.0221099354961333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.129235725472198 0.126455142126116 0.0523908742471479 0.0449756646916329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.228579407100063 0.227353606913988 0.173741808453702 0.132599109567575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.652542328897407 0.676065837079412 1.70465547465233 0.942477925380942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.10298431071365 1.15504439105974 5.26409888863408 2.44612895581333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.187206533862507 0.211485262438577 0.110108297250821 0.119925377704076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.359498321164692 0.400175016239306 0.460129173554253 0.390542862779999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.730547231620576 0.790174547949077 2.19738940584335 1.32874376834548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.4348800121751 2.52144266598887 27.8972623837376 10.9633081954792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.38472589732076 4.51952353601016 94.1993520250317 40.4894756010241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax FunfzigEstimator 0.0512421590313746 0.0302590700020722 0.0110321648107715 0.00309864584839678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.073814210605189 0.0488491164130013 0.0199883667788164 0.00671767494432144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.115299914941461 0.0815343651621757 0.0470309393556775 0.0164934256228316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.210762627075259 0.155957038059261 0.160020140718367 0.0529759084225841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.609847386807778 0.510493623093251 1.48588142178635 0.439402577937424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.01226918656132 0.90307656415374 4.33404734862872 1.23834407083888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.195124645145316 0.144250632727904 0.13925663166053 0.0470641545244959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.377599705909272 0.29866227716874 0.557440482288257 0.177668740813753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.750021818277571 0.643988255786544 2.36848902318247 0.718926957724209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.33618909546874 2.189607288188 24.5988298608902 7.08515974869173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.11232992763831 3.8981469010325 81.327274568796 22.3493531101548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax FunfzigEstimator 0.542844623465524 0.0560469308101053 5.29371794171388 0.00927620369646066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.620079486626158 0.119712770321813 4.96307907504698 0.0583750480435312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.765891438571029 0.24433507120072 5.80766116927509 0.276055917892765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.1274422410854 0.568762126427861 10.8510515215369 1.51392605181925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.05742842618921 2.32452737938856 123.551449273146 74.4003704674771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.52190236691726 3.50505507536853 6998.04850278464 39.4803624692459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.31860126905247 0.569900290955612 56.2941094138332 2.14026362926246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.38721529194194 1.31747959500875 254.666122982423 11.3530811577874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.96461699377422 3.29931926853752 1568.63670857774 215.455369529244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 119.811009627749 29.95894870027 6387368.02633101 115883.194698269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 57.7639869802008 30.5427399133519 244040.355288075 48704.0254259701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax FunfzigEstimator 0.198382476517212 0.258162749529556 0.167823569415339 0.379011218574718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.300419478659583 0.367107074862831 0.554818327851828 0.92408990474451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.472758404949934 0.542965277724908 1.84692185402273 2.42824309386013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.886529087958778 0.955727541875165 8.47176604328655 7.80018788881991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.57306876033345 2.82124757913716 2109.5761567679 61.2287353723227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 10.8726022803593 7.33995559612267 16226.2881431025 3559.15371937926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.73196873106175 0.83364533811256 4.27167685482158 8.06435724184879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.57922579336412 1.95869193279608 31.138375826945 144.318943667866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 26.8201091712589 7.14788355953517 456213.555731294 5012.48176828776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 17.7533257958406 14.4259068153075 8554.30083375127 5091.98790210591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 39.851569364738 31.1727958470516 72664.8272852082 29972.6084136969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax FunfzigEstimator 0.441775959674081 0.111764491509834 1.96297205253893 0.0686830011182327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.521719955708892 0.185914325455595 2.47724635089452 0.190636904590957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.673264381543 0.303619497359424 4.04913673799897 0.526998455422022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.10912824451536 0.592436491086725 17.3228044815219 1.99769146856425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.21092939513798 9.26655211424527 1423.49545613682 35583.2144805899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.94704078413629 5.21903508816287 422.160238223915 979.578125903528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.83668366972683 0.504539657783078 5.55217479514675 2.10086720668708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.3937572202426 1.04315861075915 15.235888174193 6.78533639113747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.86103515146933 2.21338373225628 101.942822145569 21.832967840882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.2084772165813 28.5191361232352 44632.4789262055 59324.7020306283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 30.4472309593315 54.226138874016 38605.7241199373 449018.725147859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax FunfzigEstimator 0.283999665891794 0.386306682333628 0.560201856799561 4.8181536126128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.368792391347383 0.914050372012838 1.32360191694738 137.393600768562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.54401789323648 0.546136103213198 443.672882287174 2.02725444051452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 32.1149214376246 1.55532856450999 493066.72660949 219.85692060128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.23858371020648 3.56828957154697 8035.78994441359 347.292181529459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.62326683900432 9.07596097011713 5827.19010738818 5799.6449366925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.9064986528397 2.71908566977701 2761.48041054472 1581.47766622079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.39253704748123 3.53365007036949 190.106217711336 1204.46145689578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.08655996184718 12.5077089401868 1558.09234831356 33825.7880255459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 21.482424248271 24.9703848512124 45877.4150628616 39124.9087148468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 55.8471088099888 20.4938650077685 202117.32822612 5003.38399201337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax FunfzigEstimator 0.340941913258861 0.228000807126353 1.81605546479214 0.172862255555583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.422065056248157 0.296167930784294 1.93345357115899 0.296436970601151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.588020697445546 0.453887568090528 3.8321641945246 1.79039337228189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.02188971129331 0.934983429793134 13.1578153096566 31.5816333124627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 51.1697787784551 10.088857042999 1746958.44791646 38298.1434795064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 45.2112329179089 13.9055280850464 864993.943010918 37524.1267271667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.868008360753163 0.940706569711943 12.7982764363423 36.3550035361945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.9368230659336 1.75203887535048 128.887492494614 113.886359674001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.95620676328184 3.46307949756839 3131.66896240112 282.918701575602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 28.7956579905034 112.996141694823 69725.8555617227 7242837.23972985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 36.6627823864934 48.8490582675921 87662.7946597157 106624.038618514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax FunfzigEstimator 0.213068807761973 0.247989854065805 0.327430549820206 1.02862854088458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.67264428146946 1.08713402423452 91.7994225713775 313.102544313301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.69658761265117 1.49628924382743 1129.83412133863 530.683624314716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.65935753930221 1.80862592837554 2462.34697917631 413.663386364979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.06077676579377 4.04012828219013 277.846080707591 668.059537174458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 11.2244598629745 7.75689101411896 10297.3430616543 4434.08848559127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.761203409759613 0.704328405919382 9.13272839324066 5.81130450366324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.14014586430893 6.25994296825637 11911.0480370027 8798.84904196106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.25463233123731 7.47803449734416 5442.54271062803 6711.38169730766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 14.210089862771 9.96299079598759 12465.3062433796 1126.81747130958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 23.8057123955367 17.2352190726283 24029.7879242597 5255.20210374683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax FunfzigEstimator 0.176276756405348 0.208811080565641 0.142957315161824 0.164524735994596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.301812442218758 0.283931589075955 2.4173857879511 0.31739668570791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.478298671065262 0.41183246585078 7.86438379391053 0.810014509835106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.886665373057006 0.735131242388972 24.3550665036442 3.78485296173221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 17.7926788688903 2.43071194296036 165697.8745167 109.682523240782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.41642281885946 3.74388705436372 9506.87955776159 64.6813800623893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.569234096371584 0.597211070716871 2.63867061004036 5.24337869945638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.12196767955374 1.09978254300195 11.014154298101 14.4878871203395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.60357014652853 2.18477005689331 105.942511124168 37.2477251441535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 17.5564705017499 11.0154000969953 20605.4711813805 4879.07135697739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 29.1546347682717 28.1832437055321 50429.410161776 31148.2739827716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax FunfzigEstimator 0.281299845408124 0.258443494663774 1.12909106249237 0.531586444465205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.338707319000448 0.356075345930434 1.78935264320841 2.06751460242096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.610823361828703 0.68993128787924 31.8606392649827 49.6740488385666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.25972102620317 3.10552262849662 1039.44766792214 3089.33160019234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.09638335360291 2.78782840513492 1779.87492334242 246.040343125142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 38.1850249469634 6.96182153544697 594898.538414002 4826.20625596118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.34707789132954 2.4879856471437 174.565892434789 2284.28785750328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.94022705905193 3.60952582500744 1099.53694210145 3300.40911943255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.41477946594767 5.83714500037433 1380.20340231987 2429.23586468874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 21.3014250126476 62.1649097942746 31855.1570711876 1867212.19233383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 86.7178794379839 38.9068130444515 2963055.02856054 305011.022351552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax FunfzigEstimator 0.209780528940068 0.226387459525161 0.202854769805205 0.176092552042615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.337197279353397 0.316191442865794 4.72401809967088 0.625070542677984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.577643460576043 0.481559868403225 30.3533118820196 3.84540204703872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.20095070579283 1.09180604918708 216.187062368304 75.8403927963663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.86958858239186 2.89140058122592 245.773879702106 578.445747349438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.01607345026426 7.91568621246686 1408.1316884097 5370.87378673873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.603822396846958 0.740468512988929 2.69391896564911 5.93561270266489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.1508895784781 1.92628409071025 10.1842461796466 137.112223167111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.78105007543555 6.23963337619125 139.073743419902 5851.6806147291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 38.6041206128516 12.6798207619272 154200.986245661 3991.55076096368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 32.867755570332 21.7558557848231 51640.2852285109 10855.9331840519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax FunfzigEstimator 0.383335926533255 0.0832605729934083 3.32742431232561 0.0374809209053726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.575067039693819 0.192134737335554 12.7942112599366 0.590322657867015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.913280415009291 0.381885176350977 54.727196413209 3.08582662954689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.1456109008164 0.865472168355218 700.753086833443 17.5065532939161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.70608664102685 60.1128488102357 7862.44986265852 2755306.61287841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 6.46451562449884 6.5432079743211 1253.97843778417 1540.86666800357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 7.81576146088322 9.40001278753028 40739.329709055 36449.6851609439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.6237592523027 4.07594102653361 46.3028615795842 2447.64104270881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.15385762439987 7.69549269410871 320.95243103163 5544.58214462689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 52.3826854000262 11.4114636744877 686738.111561158 3739.17419499146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 61.824870221822 28.5768285209407 267502.676669758 17348.9987920876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax FunfzigEstimator 0.0029126247004851 0.00459594187312294 1.14614201081002E-06 9.62799772487344E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.186589993673247 0.199424976303844 0.123282947673918 0.079558432294841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.38742667423026 0.409502609198715 0.597358318257657 0.277594906611803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.814384609158313 0.845243695839831 2.81269232414511 1.015368836838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.58299463308671 2.63414805913007 29.2910503095437 8.61158416195281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.36796271869609 4.43665127521987 84.1857025517736 23.683216610582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.655869500763363 0.67477447275441 1.83428527041624 0.696646772855924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.3719487417553 1.39307649156684 8.27807245861581 2.65037251282773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.82720225682273 2.84989743012592 35.5742125394073 10.3681573335369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.70904562429066 8.74509889786998 339.751080687262 93.3756467858409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.6996850133447 14.7659646852679 969.216086172988 265.955437935466 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax FunfzigEstimator 0.00669547459857613 0.00872439343754978 3.12674608853552E-05 0.000343587815368496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.212092367857945 0.215833165731213 0.136265453049895 0.118485295462806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.421651419522158 0.435103705300095 0.603785167744736 0.421907720843654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.851551117311295 0.877006253413562 2.82197562260644 1.45726533557443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.71529216884815 2.73974812960473 32.8873035280534 11.3372807273598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.66716455451512 4.6881083978647 99.5213814006594 30.9081704303965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.667800149979267 0.695153331183306 1.6956230834711 0.985292958795173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.37167077183017 1.41516134115995 8.03266508009292 3.4859457674934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.87189934046254 2.92625202407986 37.4328981871657 13.0662282571096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.17997721484921 9.25517121823512 393.901723820064 115.738153126627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 15.769143033723 15.8331778956594 1169.95907828327 332.144905507957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax FunfzigEstimator 0.0136661983334455 0.00614742978576063 0.000111094640055275 0.000159022765457771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.204319904496427 0.143321763819836 0.121232356572292 0.0451996874529571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.405839919205981 0.296330224887138 0.527103694205719 0.167806915212219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.79896019997018 0.639464179194834 2.26873878829267 0.66560176983769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.39026810611101 2.19314508118912 23.1543934291123 6.52070452784204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.02397751034164 3.81326662254687 67.6126152908575 18.8004171971402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.650504185879148 0.504780515822854 1.49126057502336 0.450072118996661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.28908641557734 1.1100232632449 6.44207520382013 1.89415600243391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.59968480983923 2.40742435569583 27.9176822890817 8.08825364756064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.99831564285847 7.7581765656486 274.908902105139 78.0691122054842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.5004254523109 13.2080316818326 787.072138340198 223.925729879006 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax FunfzigEstimator 0.00821391372876332 0.0144518945913157 2.57976910105418E-05 0.000897891357497171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.178818201389925 0.201996337853902 0.0897163692482411 0.109520717959048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.3571754436605 0.404975923111752 0.393134736214508 0.396903052023235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.72514049563773 0.808182570172195 1.84491783121155 1.35918708702488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.35353832596421 2.45380291607715 23.0936861957285 9.56579580278723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.08784888365849 4.17930995589282 72.2314277653466 25.1961650233612 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.578633168772159 0.637543817004762 1.14659419024856 0.924069788079443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.19868824616824 1.27351386231837 5.61270381667448 3.13552477997153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.54519992487209 2.59580279264933 27.5160560134832 11.1502942684582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.26408271681708 8.2057967064517 304.308382522645 94.9938013672373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.1778542237383 14.0223870810311 902.573896303774 268.359920763944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax FunfzigEstimator 0.00653532247456077 0.0140334933090195 2.7008613145092E-05 0.00083659093117627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.168080811468468 0.231467369610047 0.0853897737722154 0.135565223563958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.347356208455845 0.451980931268555 0.402304546870071 0.463244749418083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.733037362694928 0.875062236808487 2.02188836502169 1.50453181719109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.457896673769 2.60167738042267 26.0061978731736 10.4594547864605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.28082118071732 4.41433041516562 81.0084756896238 27.6369928598887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.58630825596232 0.731653662486678 1.26035442400988 1.12535852358785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.26351966819522 1.42620621956245 6.51146694681299 3.65970553779617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.72906590379059 2.87316415619785 32.2776768650593 12.8253068481077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.90464890555458 8.98794919652343 355.00973820727 108.199479347928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 15.2890945555877 15.3363851033032 1052.64791280981 305.824681164054 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax FunfzigEstimator 0.00743009621871755 0.0129104115366292 1.33933663880823E-05 0.000745527791334642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.151410349119716 0.183209033732915 0.0643720004286549 0.0924143007920085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.305742385231715 0.364948474812865 0.291422017771922 0.326064700014646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.635235235484146 0.723742442913688 1.44266420054632 1.07914046730873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.10960012850009 2.2098761589878 18.5734989199455 7.64438361951798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.66365009710212 3.75616173199884 57.655188903693 20.2765972567368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.496879694806694 0.579211070616321 0.865089535598161 0.767698333409468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.06063339459491 1.15823321243342 4.46573560231853 2.54405193417665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.27730853081078 2.36862022250889 22.0790345145331 9.07522604658867 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.35284371445132 7.41300057816613 239.392410419631 77.1869308892566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.5447083810058 12.5947930432319 700.737552478453 217.013274919234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax FunfzigEstimator 0.014336514933287 0.005527339304747 6.16774549685864E-05 0.000137302673533812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.215180318043241 0.169913886167017 0.131776703240902 0.0671778431499433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.424859146405269 0.347427227654659 0.576256245447531 0.246692457903995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.836798961550648 0.728837272600914 2.55878008016121 0.928102291857501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.55493032182708 2.43695161443353 27.6762033022025 8.28478812045189 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.34411511471285 4.22530149195373 82.3204085940107 23.3095189980091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.678176322089363 0.576264146080054 1.64685929200645 0.635654760238949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.35166492301141 1.23632497049849 7.38143545772132 2.49402877144881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.76084885209316 2.65472392343862 33.041833503736 10.1119632687287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.64897292639009 8.56127895002212 337.02658941438 94.3699905426304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.7400776858367 14.6433270131218 985.057628303091 271.951344462447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax FunfzigEstimator 0.0144056621693219 0.00658300694577817 4.57643264638002E-05 0.000190140508414009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.217186001131753 0.171543582055932 0.130080658634441 0.0720636767619355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.431242341990308 0.346147583688597 0.565344365162168 0.263124084295329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.846717655421897 0.718215881792656 2.47991174074031 0.97131077196232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.54958967001583 2.40489870115805 26.8257666103762 8.46924798100696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.33066373969216 4.19183078350109 80.3854391321084 23.7613250232308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.682235638626053 0.582026287259937 1.55751338261151 0.677611971010014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.35538714827794 1.22901502643592 7.0192849832526 2.55899855087724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.76297488011656 2.63228768091666 31.8292136944524 10.1457286019916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.68159878462574 8.53222843863772 330.074995245429 93.4379884058968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.7703094777077 14.5989590424776 962.371828802195 266.814017360626 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax FunfzigEstimator 0.00824844925343846 0.0146239139977094 2.73898296704925E-05 0.000926913594336468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.181996332411608 0.196925067742617 0.0939326138404785 0.105868878969043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.36152581672427 0.396287804226522 0.408206714295513 0.385637425131308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.728361238689915 0.795342613679302 1.88852896585334 1.340182109485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.35035842439448 2.43046857425169 23.2638627362586 9.65666219537436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.07333328208891 4.14122021880118 72.4139804006715 25.5879120824523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.592778989800045 0.659243939468916 1.22101593748876 0.975487191586364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.22711357171231 1.32070635944968 5.97302971319602 3.29935096984794 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.6103866118512 2.69965317130898 29.2269342628006 11.7592767377842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.47920356350615 8.53080462053284 322.324482205717 100.532431778668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.5536941391381 14.5935437240652 955.923067407132 285.151299800032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax FunfzigEstimator 0.00650494532050906 0.00543501925062875 1.06848837636478E-05 0.000129103689477282 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.168948240527137 0.14620474777929 0.0853702540231746 0.0489321787852692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.337475632717892 0.295018454236453 0.37405987035777 0.176188183637857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.673525571498009 0.615378062305618 1.67203734702439 0.658682550060896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.0838498513089 2.04198749197328 18.157035117609 5.8775671426044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.54530213042785 3.52025703826155 53.7845019536465 16.4692575181889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.540363464240274 0.491885173045293 1.05170535171724 0.445723168622619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.09359498948386 1.04494107336719 4.77975829083138 1.72499370716988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.25368084765496 2.21984583443901 21.4885082748675 6.90997922549335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.05450593517636 7.07242871674617 217.275054769092 63.6340797354306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.9774376762188 12.0309575702743 629.520990240725 181.69474158947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax FunfzigEstimator 0.00426784753265664 0.00263055779281365 3.51048698779277E-06 2.97271656680486E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.19581944111858 0.157192380726753 0.12039150139436 0.0468479932134274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.387429959501513 0.340792434456048 0.529130405040769 0.181336727133375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.782951723477324 0.735873177353189 2.34203043225498 0.725158030123533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.41657943295961 2.37289204406191 23.5508457543827 6.62218009963592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.0660188230977 4.02306610281904 67.3058983093716 18.503599780652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.64355567477198 0.586412546848288 1.56446521277693 0.487706858045893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.3104863915214 1.24847967507177 6.81040039089325 1.97685020787286 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.66610865582738 2.59109312606206 28.8179864632274 7.9989425945675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.13737735400442 8.00309320457153 271.706040127102 73.1987403858521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.670659550352 13.472738948901 766.893670226142 206.686863101883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax FunfzigEstimator 0.0120709755608743 0.0120905259252631 5.73636082537621E-05 0.000676225124498702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.183523364542228 0.183088857858002 0.0944170938725867 0.0891977570223225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.367065804089357 0.36709041653437 0.414988585848207 0.317443629835004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.742445355502123 0.745554164773326 1.90969130508542 1.10180927427621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.35864599975838 2.37234531206455 22.370741072217 8.44082031549397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.05117914632214 4.07386613199505 68.2452059487577 22.8109044377628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.59583708577724 0.592013690151894 1.21468793097454 0.743364974078575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.2247051238273 1.21421874397158 5.72871678651329 2.61043867346977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.56297534121183 2.53565073759982 26.9008318687731 9.73078819990337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.16750185690003 8.08420854745074 284.922910310756 85.7999040403516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.8849747028792 13.7701694071589 828.388078529626 242.08525763883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax FunfzigEstimator 0.00888353922109392 0.0114803351237947 3.0812696555385E-05 0.000555086601638836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.166476865888557 0.200415064486367 0.083167069696981 0.0945190142100302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.348772023068119 0.392853644963362 0.399543714756082 0.32235518139582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.736806867893206 0.781535461814188 1.94989032974644 1.09078273157369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.41433159337489 2.44322837205237 23.0590020537938 8.32962007923659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.14649603791055 4.1638311422191 69.5476787627984 22.4947789505661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.579587352964368 0.635238893013103 1.18277198603986 0.76869545277256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.23049304118473 1.29026836129649 5.75437555982914 2.67382736297513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.59911481102486 2.66721880552253 26.9506057110036 9.90250205203509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.23653533079065 8.33598487703303 279.328408301598 86.1752678320034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.9559649596963 14.1047656775626 805.096106697081 241.942470541797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax FunfzigEstimator 0.0174150080407517 0.0151244147393449 6.05357983304653E-05 0.000986071592570729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.19371915334033 0.165970718743594 0.0956817950456955 0.0748157603962481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.384019781774421 0.335245825519572 0.411975165270525 0.274053068944825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.759267788747377 0.688626787476037 1.80947512015799 0.988186201119101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.33599531342284 2.22789466171719 20.518462605168 7.61327734873699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.00556144372528 3.86278250829299 63.1303542229798 20.514801771328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.61606317035446 0.548760408950181 1.17278377256353 0.67624426180983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.23237070100142 1.14731638991435 5.31447592693409 2.44588138995989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.53229708599985 2.43059086692709 24.7275405304773 9.13600363632371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.0391185498272 7.88750117559618 266.39811797956 80.2822029810641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.7010772314314 13.4908052619155 781.027727031562 225.900427839191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax FunfzigEstimator 0.013713139703509 0.0155742456968844 6.61549840295264E-05 0.00102689387654206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.165012697623679 0.192649386958369 0.0751938793703404 0.0956854208608299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.335248515835247 0.3805705124403 0.338896735691841 0.337159673052749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.694769575980508 0.749745686741456 1.61292335689699 1.1321881607856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.2586856335241 2.31392410290024 19.7693901131735 8.15208434068795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.90688916023755 3.9687070333257 61.3995607679623 21.6850228973215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.562544348355473 0.611942746376629 1.05231280382444 0.810683206255359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.18424159365437 1.22606078064846 5.1403804412139 2.74203600251124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.51605164294759 2.5301431445493 24.9030021979393 9.87413773437564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.11050573267229 8.05233960043882 271.83493420894 84.5095000840934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.8301045723175 13.7019339544375 795.95842835912 235.867734441641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax FunfzigEstimator 0.0131155962042141 0.00991515861151481 2.82233847708021E-05 0.000431316624104294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.194850658011105 0.1514117526526 0.102015080348522 0.0604964800757357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.382566976897271 0.312336368857781 0.43718321924018 0.223724922186228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.749435840566932 0.662616174844753 1.92025217267307 0.831378706698308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.30028784944671 2.22257079920266 21.1837138491519 7.0493991146181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.91830611203698 3.84656902133445 63.4914363407341 19.5045864512392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.618388301885643 0.527228012527531 1.27617069799955 0.567962242972181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.23454391132268 1.13613308577934 5.75429697652121 2.15779573970788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.53440939262639 2.43713585372288 26.0906959325579 8.47902637452896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.94488843914648 7.83301674325172 267.425235386962 76.9026560533904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.4607986684918 13.3257864337218 771.862722310492 217.238078720776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax FunfzigEstimator 0.0095704138022581 0.0111057532090547 3.20405146739678E-05 0.000536077204529766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.166698885026703 0.183118262591881 0.0769209592518137 0.0853731397006583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.33610649207209 0.363966984711588 0.344719482214112 0.300527526161856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.690378683019149 0.727062932363974 1.64030452738278 1.01289014668658 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.25018282953037 2.28347933050133 19.9578721266881 7.52593393810664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.88017773964419 3.91015075877161 61.1086399481102 20.2026404018144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.543355522775839 0.593298354961131 1.00462484137096 0.717527268705623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.14333423605472 1.20519413293624 4.93318227059416 2.47082009252152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.42791787500193 2.49573208324525 23.6508418564676 9.02959853363739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.76558698034888 7.86206958866988 251.255087455266 77.5973557778992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.2040895397895 13.3336320685719 730.098323392877 216.934436113464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax FunfzigEstimator 0.0134321765845442 0.0147802918312557 3.91946228094486E-05 0.000906345982608233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.170594994235299 0.181210505386381 0.0783634266513278 0.0850404204694235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.343291092972087 0.361130960988124 0.347204774736 0.304352087435176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.70045842006501 0.722394844963759 1.61150623513516 1.04642110196409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.26318217205794 2.2745675168202 19.5160513974746 7.73756782446726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.90911388317015 3.91324761207617 60.3658103698304 20.6877772791887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.564029211439672 0.582028314416949 1.02345968488373 0.723081389181909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.1729991504105 1.18402914579842 4.94034729862111 2.47546506936452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.47217391862118 2.46745711337518 23.7228579081954 8.977246621526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.9271397782675 7.8683812945806 256.662695848929 76.9337315212745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.5063225892477 13.3849393003746 750.263726939157 214.994909357953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax FunfzigEstimator 0.0159036605686123 0.0153898810307632 6.22616987569918E-05 0.00104135020741814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.186536279598294 0.175810357369857 0.0910816470586248 0.0838546006935897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.371278122103534 0.353831912264233 0.394438101685588 0.305684030067428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.739885368050203 0.720825323040114 1.75689269272086 1.08666354778449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.30430852962843 2.31026965032172 20.3557557510067 8.2443208583633 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.95802341915895 3.99166657224068 62.8594866328065 22.1243902808952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.597963887886892 0.565735578093031 1.1286999338031 0.717253946928493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.20414727701605 1.1731168352857 5.17433785734555 2.56241418052469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.49314736073948 2.47359734787465 24.3149376040143 9.50393124173551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.96411195641177 7.96838222030905 263.456698314323 82.7491238222287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.580035022498 13.5946449161553 772.791272145345 232.219773436275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax FunfzigEstimator 0.0103264497218585 0.00548403934708937 2.54320373971128E-05 0.000122868230688011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.205957262945561 0.138185816685611 0.120409455191 0.0423742385828677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.403365224907028 0.290551815391311 0.51593216987749 0.16276871705042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.784092366251242 0.637780717397256 2.2064571885025 0.659758270841498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.35244822290393 2.2011038939887 22.5922495076496 6.37624951494251 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.96491843111718 3.81464936012825 65.8219318520575 18.1457978847588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.643983832713874 0.491004095425506 1.42805193395601 0.417571595153427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.26577230314291 1.09410689942146 6.15195700306195 1.76294986206739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.54975142287975 2.37461051787505 26.5983332979248 7.42180850475873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.82989619620904 7.63305115240279 260.231619889982 70.3106598260955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.2015185183083 12.9800160332135 743.04207283784 200.273435948127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax FunfzigEstimator 0.0730499822774765 0.0240505318654398 0.0254375131325669 0.00135462417468095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.261864696979887 0.187503375163529 0.26517718303382 0.0651102141332296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.498778522045315 0.411039766123929 0.99799410065912 0.266377571674052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.990601951422542 0.895163602383663 4.08810594873011 1.10450001982661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.00936922411746 2.90327481987832 38.8312868213996 10.317406456072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.04535492939286 4.92959934900439 109.727329924291 29.0292625051935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.7795179269539 0.702666879853474 2.52523051040632 0.715431100504991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.56726077581177 1.49991366628683 10.4796435881468 2.95332953066089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.16324544143456 3.11831554344469 43.2523516710688 12.0784266576364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.63751326608742 9.67202103203623 404.938200636567 115.285567795203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.306032092109 16.3878888525976 1164.04861827979 339.437780020764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax FunfzigEstimator 0.0668937490340838 0.0633622466238288 0.0133976203239812 0.0118927045534804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.23205763029997 0.229342725659348 0.166241544811862 0.128580532634025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.447474213513831 0.44869650698829 0.680076873351646 0.439724356338613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.899767149956104 0.909141966717822 3.09364922899146 1.55036128002206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.88508337599974 2.89925967528272 35.7435240843107 12.5629649164838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.96311921282362 4.97326328516785 108.192128683801 34.5091859862258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.726691027095034 0.731292531396144 1.97008886298851 1.07287883204503 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.49868509651115 1.51042591518018 9.25106145899127 3.90839144146686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.14434292695697 3.15350056224719 42.9768030434533 14.9676534939908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.0711072803487 10.0415454799154 454.953761198351 136.521130401265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 17.3895990212554 17.2716128052528 1374.45301811727 402.819324808607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax FunfzigEstimator 0.0835584659079954 0.0715856191210986 0.0337119093935802 0.0182062966418181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.23926778405949 0.245292579936585 0.214406606529845 0.145941753445182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.464973316745411 0.471030981341836 0.816257838431255 0.461295651324564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.953816980872311 0.951697269823892 3.60027267240488 1.57609386758456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.04941141628793 3.03119348939212 39.1977279600126 12.7478379699835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.19968675313567 5.17850410317406 115.687770344331 34.9935101749836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.765311576556307 0.765422131274612 2.32349033480208 1.10645386846256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.59648861578216 1.58251641294509 10.5903307755206 4.00214267754974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.33235546377599 3.29978955655708 47.4460263371665 15.4077584374259 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.4850774521979 10.4040248171291 478.884992605872 140.352033326923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 17.9323403371369 17.7849040544065 1415.59760715688 412.972249315388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax FunfzigEstimator 0.0853501738393446 0.0806084310585775 0.0203198111394275 0.018505755654958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.243261127386525 0.219679081723403 0.169601683303976 0.122400795843839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.458834102333076 0.421221364689532 0.655190066730312 0.410129169256876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.89959789128259 0.857413696099277 2.85057283907114 1.45552604781768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.80526491989264 2.77929599589207 32.6122117407259 11.7014729586279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.82805989985666 4.80900838429362 99.9022098876603 32.1003778509153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.74200177208721 0.704237527100118 1.91669985211682 1.07427798114532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.49922739628783 1.46916805230627 8.8151784380024 3.94574879407052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.12427251714812 3.10646091300415 41.1737280899482 15.1326914202471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.0011787687969 10.0030296892695 440.256729746049 137.106473438734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 17.1767911318763 17.2029481838161 1311.68957073496 402.297969095626 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax FunfzigEstimator 0.0729834755104723 0.0792137640413254 0.0179855013916461 0.0187609018518845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.217775632753649 0.248143759014807 0.154349459348344 0.153027368754115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.426222251163109 0.469426511654562 0.62358173182869 0.496930201696092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.875090527516235 0.925276921801981 2.87578443612055 1.67709008871918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.85073737200631 2.89994927192711 34.2630739178968 12.9318900765299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.92998983517664 4.97784238300344 104.97500366975 35.2436772317764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.703006655936423 0.760199557808138 1.82590277176015 1.198325538335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.47164814706171 1.5344988908924 8.75523345352974 4.18439357016566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.11724424210447 3.19129915260716 41.4879021467142 15.6710487102253 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.0360174890279 10.1960213415521 445.544368747109 141.35514875678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 17.3581599854117 17.6147849541635 1369.41489017095 445.627310340464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax FunfzigEstimator 0.0639115086067434 0.0494181987577136 0.0113659723117632 0.00710738230977455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.238247487421124 0.195246855777303 0.168553857633578 0.0931941872575639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.454782596192179 0.396086475025342 0.683965754403178 0.337134242937926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.896827712397688 0.835895098050124 3.03295392066419 1.26236484187912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.8053530618728 2.77281887261539 33.6353497890711 10.9965525955065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.78655460826676 4.78633983576216 100.248880231909 30.6991122068934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.728681252694474 0.662822714956934 1.98643135123035 0.874396433897502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.47482323567942 1.41526625468947 9.04156052679354 3.39351284520937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.0492668896068 3.00735177389535 40.801234392828 13.5207298751975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.58966404544137 9.61791044731619 415.515082963788 125.325131489641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.4071709013311 16.5107035975044 1229.10730734098 377.372359679739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax FunfzigEstimator 0.0510688776329069 0.0593770940846012 0.0076594645162737 0.00976950505037191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.212176703800268 0.229370741537347 0.138390109150984 0.125402670338988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.4190768661908 0.446437803331906 0.60029459396499 0.425087643084679 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.86152636450706 0.900278260851058 2.85412859680232 1.47681216691401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.80723147032316 2.86252343757747 33.7066518928986 11.9185095914595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.83113994172331 4.89977179777754 101.832128588135 32.8706659961841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.68676149464339 0.736287009324907 1.78351152101868 1.05142116224246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.4541172920417 1.50560045732614 8.7013730497648 3.74567431161811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.08090000445835 3.12639725733689 40.7983905557478 14.1620252724938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.83323664470676 9.8672621575269 425.703886081776 126.804784926952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.842816390868 16.8776780843786 1257.44377549163 370.973186081108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax FunfzigEstimator 0.0680666949246283 0.0699480007703179 0.0147789847375781 0.0143965577883813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.218113598222844 0.230174570048656 0.145663805317694 0.131426964403143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.422262092102646 0.441296001678389 0.582949972647562 0.434501488025981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.857010165578406 0.878986557225357 2.66666514991493 1.47249744455188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.75878662426411 2.79108493054595 31.4628418372317 11.3993962431142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.75268176859603 4.79691845627707 95.8775959352818 30.976432211996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.712235679776579 0.717945040298118 1.82954016945018 1.06398875727452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.48371362385676 1.47727303690654 8.73625802191568 3.78814302974086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.13101370385162 3.10049298440163 41.1567952886905 14.3610875881557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.0277568818278 9.90738631971314 437.946734994145 130.476502484137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 17.1945585717243 16.9574324335956 1310.84723062643 379.200471614212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax FunfzigEstimator 0.0846443384520667 0.0782432928455363 0.0203770835498135 0.0176954559548098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.236553082597735 0.23027487468897 0.164215637141208 0.132454962797265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.448166570998349 0.439532579432689 0.637472091707005 0.442377860681245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.889680289965917 0.882421955719004 2.81658350246562 1.53559165179988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.81539437121299 2.82043079947689 32.7600219934537 11.9580209740842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.85550688811081 4.85793189570426 100.475212652033 32.4215522738141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.724096597550679 0.719618573643154 1.85356666799983 1.12876489321752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.48055458413516 1.47688964879199 8.66968702746493 4.03206490056169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.09711551275064 3.09709219673519 40.7601370359556 15.1721986339644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.93845394811316 9.92767308385973 437.693419302122 134.742984879078 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 17.0754804557203 17.052209837663 1305.07006530219 392.23638207884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax FunfzigEstimator 0.061961880349979 0.0337523932162485 0.0144180691028123 0.00367704462009576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.259462751865947 0.17120386761256 0.224731571626608 0.0665674721066068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.492760509437904 0.361211962667472 0.876592769300376 0.255049349471588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.958102705126385 0.797639674399845 3.66332185161643 1.05824473563329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.90277452974514 2.72953534094397 36.9330651397556 10.2430376834958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.90014626125501 4.71670673250569 107.054780468557 29.148030451726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.77500562550762 0.62670638646468 2.3186196785888 0.68351172923115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.53820421996917 1.38558895843668 9.9251356809123 2.86705380910953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.11974148053744 2.97325873489743 42.6051768736585 11.9249645432362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.62282551477082 9.48038906441486 415.188895025457 113.427198024013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.3832884234588 16.2355617299501 1216.36314484227 344.596215610569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax FunfzigEstimator 0.414005530677504 0.0605534312769575 1.47034854495923 0.00989387627288842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.90972697581904 0.56987693782239 5.54050469014418 6.63581858368588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.60726141946318 1.26951965935034 17.3540517203399 28.7620537942546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.068321828105 2.74444310188809 67.2491354856544 108.559065420261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.28558603447208 9.09271138123076 703.680256733438 907.051819022574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 15.6210061274025 14.8150112089957 2330.80094195768 1329.68299056799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.51256759990952 2.16364004056452 45.445474851098 19.4577666581639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.86225626143185 4.55179789943376 168.050291190101 79.6725331757596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.69515648637954 9.68044352931111 737.047828884239 564.116535768398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 30.1162191113077 29.5163284276775 9911.49215002785 6552.27142806117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 49.5150312437876 53.4654827042088 39466.0123941121 101004.418720953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax FunfzigEstimator 0.229222604052372 0.270955522603968 0.239612237768149 0.772029271897079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.753516358087776 0.800788267548282 11.7112971250327 11.1092457386256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.4917414831641 1.50684721395235 67.8322812295338 36.2029293493176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.4295925597371 3.0127295060936 1169.76221744124 101.606839204533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.32656319287624 9.36040492733743 898.540395704905 727.894954078681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 16.0099983167123 15.736812044634 3204.81126637062 3961.10643515963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.76901529254738 2.21477562127065 2130.90221167773 35.997395005608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.33796998159704 4.65284569489849 4895.93551649546 339.31585233634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.2922353739662 9.98548357086353 94998.6599574618 4284.30550294385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.2007073232635 28.8861285048931 23395.4583190973 6415.08894555339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 54.3855857455243 51.2222225764041 44546.8692557058 23453.6900231806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax FunfzigEstimator 0.49784505780336 0.14416836845798 2.60810540003086 0.090086400798235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.04143763798633 0.672596646365068 15.8504031921151 9.04456473077041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.79003683676527 1.37822583892105 45.3109746113993 25.2508210253808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.38449692044412 3.30692877616526 139.672313809357 1485.43456875046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.77221851968525 10.5630899297968 1183.14850088739 4272.12308337213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 16.4211033727174 16.4880353753729 5238.97918622733 2713.13319901738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.79667193384762 2.42268536976555 82.2815220911252 56.0999638041889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.44319748765742 4.91867407749414 310.522495325779 153.155276616803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.0130196057247 10.4700071370678 2214.85117451338 2037.04733458089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.8037619392971 31.0406244061048 10383.6125047489 10942.0814252615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 56.0167328750428 51.5852825021886 63260.9524581543 24256.8298346383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax FunfzigEstimator 0.304314026886808 0.323838252860565 0.530120941361211 0.724175071799822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.729979502572763 0.80380455881732 4.47333769555543 12.4804655867694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.36268159299899 1.52235828760308 17.0239509095009 49.1535723245802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.74719955130644 3.06148763350286 66.4571436191047 169.198722352934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.52144602865938 9.54324820436482 546.905159546709 2596.49357684723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.777415217498 15.6978532586634 2525.71310812847 8431.08959390012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.1826938541966 2.21588026289767 34.0331408209835 29.2508483484007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.95286404273916 4.50904701717046 1817.70861319301 118.794699833384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.65001808936265 9.34050553242707 1335.8179728218 526.383700787795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.1626965876792 29.5809757529121 17777.0522184863 8000.53891608043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 62.6218012424991 55.339866963437 935790.057548968 182577.702442987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax FunfzigEstimator 0.314395403434352 0.270462392621465 1.11288851294092 0.346553160928731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.773736844360936 0.707989562678341 8.28778472093004 2.71616434574439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.42011944729287 1.34215367816837 22.8386556672681 9.184541073594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.80655347432297 2.72335076418801 68.879316270658 34.4917402859127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.70388355540194 9.63489386579601 603.670937484734 6389.74997305235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.8502828012767 15.375003627428 1762.40611097941 2316.72847216089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.32511112003527 2.34876664221335 75.9791574407381 118.962891947192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.68888634891799 4.86824483963648 233.394851972195 376.958156600162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.4908041249176 10.0669486208945 10079.6376628767 1328.65961117034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.0427766079955 32.4806521412985 24774.597458828 12357.8179414389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 53.5277381390507 52.7180260796317 38659.7125598161 55390.3088858779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax FunfzigEstimator 0.239414904985228 0.215839388636544 0.363294814931041 0.31253126999629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.720725836554513 0.719659561226677 3.85121007017746 5.06252736245231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.39460522515581 1.41163098113647 15.2284936699574 18.4491294990853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.8654137319715 2.87504089947371 81.7667423558199 73.1176391743005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.79900826459314 9.44569231041813 2544.92236253118 998.554036903186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.7028959929163 16.0752428367243 14123.9876514217 3410.28770515911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.21233761267223 2.43164935766897 134.33554587628 587.703368219852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.44307589920145 4.82635555036806 163.970936290233 543.55235681169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.0735515164592 9.40017873747563 741.012876480376 699.991615485293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 33.3097232593752 28.8342803154375 119585.10151596 5431.97692015458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.3997181875645 52.3579675490905 34282.5925895926 38558.226420519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax FunfzigEstimator 0.193174796924391 0.241790595335106 0.201517925922956 0.366779323239807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.640963523295191 0.669544558692857 5.83618415776214 1.86677437990643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.27490060676951 1.2768946094083 27.7374251396508 6.73217470630198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.68084451927262 2.64894704343615 167.178899324418 37.2231833001878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.67843133274179 10.6140466910853 3336.7975402299 19290.9767709801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.1126898128585 14.9426515386946 130502.864889764 3826.7058160332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.70828950487097 2.27612849564885 618.543564610883 49.611920081015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.81901839595312 4.59041013293924 359.899792504001 162.984529994911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.8017606035536 9.5142296723518 1840.35187547796 901.033899924922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 29.220584665435 30.2029860282489 12976.1654612805 19341.4249831325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 47.5054548090181 49.6366546877591 21167.0345271637 51544.8754293647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax FunfzigEstimator 0.272829395633457 0.253480934642909 0.470056529958401 0.351532550124199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.763559737026324 0.725412435001191 4.88745096855927 2.97676593975992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.45536533086068 1.39675711572688 18.7225851494897 11.1430213664895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.96993765278746 2.87679221471519 99.407338872061 46.5936963991985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 11.350642944346 9.85526631961102 28082.3122580778 2079.0550187439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 15.3371472199104 16.0909375094997 2576.1062814402 6017.23530197801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.37196239504321 2.4156297249817 65.2042794223079 69.7405945933293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.69490737369937 4.82642771280754 178.111204933976 131.186896836844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.1275114085806 10.1653100854187 3380.35778004241 1267.47564156254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.4557197887815 31.1658852474052 12678.5399245473 17350.572046122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 50.3458527454602 50.9292548574845 63071.5738778848 26079.3657025486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax FunfzigEstimator 0.302762619012739 0.336623893889142 0.646138751170815 2.49535297159254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.724742791952379 0.958189767441472 4.46178625026265 180.478421489343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.4138826196455 1.83386020852681 39.32256887439 724.566436280573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.82033712625336 3.61898930470697 73.7519409934131 2303.15986494754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 10.1774224193246 9.93355831119618 3234.21557689727 5097.90071938134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 16.1444278116234 16.319603531484 3606.52566469695 6727.15882564907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.78831066406441 2.22771199546188 3348.65920562439 74.1540982298294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.62555674478989 4.49853369014991 23150.0567102696 228.229726427908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.6122051795821 11.7343730804606 4690.77766703643 49809.4071776777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.9847928006011 31.4538440676406 50612.3333888543 28065.6328263645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 50.73979406925 55.2619916851269 45199.0369441871 78206.0470200243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax FunfzigEstimator 0.306607136947822 0.0880999375592182 0.652979941941481 0.0380332846218996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.833928988197976 0.524171338224821 6.61699995995281 1.56823245869993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.51739170297681 1.15309670823725 23.4838032645544 6.82757232012929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.71194579112804 2.53457826660038 2430.10421312243 33.4268674521404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.10320768484037 8.90306237478542 1166.5267436475 2005.92473046554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 15.0722150294496 15.3081633734405 3662.65879770334 6541.25451542425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.45230989767452 2.29874472555928 60.293342366926 169.934090741066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.9755001588367 4.64458462610679 291.468137856208 221.76118482059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.1126321878839 9.40053277980245 1430.92989551027 651.260806011153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 30.3481278855722 31.6175317028327 9467.86221173894 17892.6352129099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 55.1657761856848 54.6043339760759 49651.4354900209 52607.7074328284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax FunfzigEstimator 0.352782094414147 0.362343737927379 0.00830388205661593 0.541377905004711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.352776697377231 0.362353063469949 0.00830269767068363 0.541405346112385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.352776697377231 0.362353063469949 0.00830269767068363 0.541405346112385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.352776373131207 0.362352992286009 0.00830267114144628 0.541405101069297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.352772142340032 0.36237687811834 0.00830095931598298 0.54147800177114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.352752904324549 0.362354366197017 0.00829960025844629 0.541408065482029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.352782080648013 0.362343684413933 0.00830387775013345 0.54137776080341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.352781275923994 0.362329056331505 0.00830472581351041 0.541333451160083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.352776054121765 0.362319437320252 0.0083037411865862 0.54130597479886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.365292134375528 0.376357210047018 0.24121242727409 0.906773265862738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.899809559063744 0.936811144911853 21.9067012719131 24.2727838045597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax FunfzigEstimator 0.434107231817138 0.0358632072796772 0.0444719127521905 3.38139074104535E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.434107437613941 0.0358632132845249 0.0444719198428472 3.38139322342462E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.43411025483937 0.0358633337957789 0.0444717788253064 3.38139706719754E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.43411025483937 0.0358633337957789 0.0444717788253064 3.38139706719754E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.434118560295184 0.0358636354278348 0.0444693332171532 3.38128079356393E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.43413449259248 0.0358641665548353 0.0444660680685433 3.38113800308097E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.434117379762465 0.0358635682065437 0.0444738319623602 3.38156961331519E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.43411975695043 0.0358636880690362 0.0444723730948041 3.38147132144119E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.434128575507558 0.0358639615905761 0.0444719625382576 3.38146727155977E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.434194846680617 0.035865897357308 0.0444680188845823 3.38124400257949E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.434320387413061 0.0358692370123231 0.0444835352859234 3.38183251844295E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax FunfzigEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.548017907780442 0.550513727605679 0.0397094818654359 1.23401455345095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.547995900261628 0.550522379387855 0.0397032869419752 1.2340525923414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.548083249372036 0.550485218152126 0.0397275480062647 1.23389001853217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.548072344548675 0.550489917071577 0.0397245259245335 1.23391056215089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.548050445842523 0.550498977609811 0.0397184138518302 1.2339502726814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.547994802654255 0.550517663353536 0.039702440273481 1.23403316626463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.547812284264265 0.550543130361008 0.0396477633485195 1.23415084833169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax FunfzigEstimator 0.353550240110321 0.358093244942716 0.00849700004537544 0.52500507398835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.353550240110321 0.358093244942716 0.00849700004537544 0.52500507398835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.353553667128068 0.35810018118184 0.00849716949407732 0.525026287046821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.353553667128068 0.35810018118184 0.00849716949407732 0.525026287046821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.353545660968741 0.358105192578599 0.008496433355659 0.525041634823736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.353541585578731 0.358105910252274 0.00849677342150998 0.525043364280814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.353553667128068 0.35810018118184 0.00849716949407732 0.525026287046821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.353550020463743 0.358093211764314 0.0084969455676396 0.52500496276373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.353543283374947 0.358090640604689 0.00849581274049659 0.524997650540674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.353531696992154 0.358072871560155 0.00849215608699667 0.524943946472847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.355544168657451 0.359182016760092 0.0639434527756558 0.550394467728546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax FunfzigEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.424198884553988 0.0357561496403096 0.033972133123378 2.65501447904617E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.42419717128758 0.0357561391402554 0.033971133104316 2.65491791753998E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.424201912499318 0.0357562105113995 0.0339728118087327 2.65508279218872E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.424206243796988 0.0357563238523679 0.0339731162465479 2.65511297686679E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.424203029238356 0.0357562551563661 0.0339724976159849 2.6550513886525E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.424224173139057 0.035756868559784 0.0339725013637931 2.655034481381E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.424220035705175 0.0357569375066758 0.0339624067795182 2.65434228373268E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax FunfzigEstimator 0.550457530291116 0.551387846425755 0.040403544942099 1.23361419282513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.550468790532133 0.551398558143803 0.0404068971925548 1.23366501538411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.550468790532133 0.551398558143803 0.0404068971925548 1.23366501538411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.55046871566628 0.551398168138148 0.0404068378918078 1.23366337951076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.550502225717774 0.55140135001685 0.0404166814517587 1.23368048768917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.550501816673181 0.551411810766265 0.0404163573261561 1.23373070540709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.550457551503533 0.551401288616028 0.0404035618529907 1.23367728987514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.550457551503533 0.551401288616028 0.0404035618529907 1.23367728987514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.550446265516053 0.551403750468255 0.0404001890996119 1.23368842892803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.550468135550818 0.551372534032187 0.0403944239146802 1.23354810999415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.550429437221885 0.55122572011757 0.0403653824133868 1.23287965593276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax FunfzigEstimator 1.15921341246774 0.0505037657816559 0.00748539523987956 0.0102070988740231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.15921341246774 0.0505037657816559 0.00748539523987956 0.0102070988740231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.15921443360692 0.0505037694557935 0.00748556927393254 0.0102071004870504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.1592124377891 0.0505037539611715 0.00748521789172769 0.0102070939729816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.15921474237785 0.0505037172189879 0.00748554626769112 0.0102070793790777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.1592140713875 0.0505036547626406 0.00748534576969292 0.0102070540072612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.15921140750187 0.0505037519167892 0.00748504453505386 0.010207093017732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.15921249659083 0.0505037441595672 0.00748521345849335 0.0102070900104763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.15921356583238 0.0505037396716849 0.0074853839134386 0.0102070883255597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.15921436303552 0.050503409020186 0.0074850781029752 0.010206954828621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.15921625032314 0.0505030288605371 0.00748495268751119 0.010206801976463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax FunfzigEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.70963828104335 0.480043637342248 0.0180555879874007 0.00374418738273918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.709632144708094 0.480045259369782 0.0180559774600003 0.00374436287549567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax FunfzigEstimator 0.339465865005181 0.343975561417217 0.0111673327787915 0.488416230763857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.347770418635653 0.354139377650725 0.0267185787714101 0.5049867182772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.37106431690513 0.379104701183955 0.0745055623451132 0.559197613994406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.430988245312234 0.440605498896821 0.270543950823422 0.772113845402658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.689415634456829 0.703807382179731 2.4456393662533 2.86371926987622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.960473296406829 0.977527225944651 6.94994395035788 6.98160844587059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.409270611343189 0.416019575291162 0.188613613048036 0.675399368190999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.51520486330518 0.520539683510421 0.741293750300482 1.20645465468291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.730327745860986 0.734043124819801 2.96569962802348 3.25443517980206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.7066907092564 1.68895668098898 29.7582201418215 25.5543788445314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.09574755682988 3.0695730147936 103.346421826318 83.5084133994672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax FunfzigEstimator 0.422674771920141 0.0364624802460843 0.0346645589251166 9.07322623310739E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.423222629670656 0.0426580052034319 0.0386558055007156 0.0029355349596179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.42910772091973 0.0494578154307567 0.048645521399225 0.0109621056852685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.442701593910591 0.0629245063100635 0.0855632247422574 0.0423102701745031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.499231114642908 0.11935234930778 0.467489946614025 0.391034637173499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.561713735129131 0.182706115979038 1.24879180863106 1.13713887573849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.437139538794745 0.0592716649230628 0.0680943420677689 0.0325812701865388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.459830651337946 0.0826810203025601 0.159984414435386 0.126203215900326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.505865781324669 0.130370126106756 0.525933989870192 0.507836772653423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.712793961654858 0.340261901579719 4.72653927433903 4.60815315184006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.04340322038767 0.687563464291318 17.0529301962039 17.0423085517863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax FunfzigEstimator 0.54846270530352 0.548592006621593 0.0412602589340641 1.22189803763876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.549179983224231 0.549040650923557 0.0425770345446672 1.22309610491198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.551001580420367 0.550505396078539 0.0467789951539009 1.22666169222065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.556505258786011 0.555710757800509 0.0628290311755159 1.24560856943459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.581048216435703 0.580983821342414 0.229904505862653 1.43206607735745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.607172934663565 0.607221129164027 0.567201980660451 1.78147481219372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.554338828150482 0.5535236590382 0.0557699154870359 1.23656379931728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.563704620590021 0.562508292658822 0.0962963402879435 1.2798084665539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.583975097707019 0.582674069218278 0.259894995882612 1.44384134195792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.680830777593761 0.678151677568817 2.09411232340619 3.21308697256234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.851515056923104 0.851209925767852 7.57168524617969 8.64941534375828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax FunfzigEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.713011837264455 0.818287527442237 0.0344860648540302 2.70935666082405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.713001118535354 0.818288945482571 0.0344874268081762 2.70936771613587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.712958749401021 0.818252673410946 0.0344731459340716 2.70912744768213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.712926213078828 0.818209823630263 0.0344591905893446 2.70883691352209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.779063497637048 1.07694250766306 0.0149449299782219 4.66843872248954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 0.779063497637048 1.07694250766306 0.0149449299782219 4.66843872248954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax FunfzigEstimator 1.15930721788079 0.050503864021122 0.00748585250786 0.01020714111717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.15930721788079 0.050503864021122 0.00748585250786 0.01020714111717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.15930721788079 0.050503864021122 0.00748585250786 0.01020714111717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.15930784719387 0.0505039513867683 0.00748605007505004 0.0102071762945378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.1593053249042 0.0505040148958838 0.00748574069696926 0.0102072017914106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.15930264991616 0.0505039206827015 0.00748519706923718 0.010207163651668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.15930542841175 0.0505040000686103 0.00748573318896659 0.010207195826731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.15930463787964 0.0505039529265089 0.0074855439817656 0.0102071767292387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.15930463787964 0.0505039529265089 0.0074855439817656 0.0102071767292387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.15991901496766 0.051183072004774 0.0151466499690123 0.0163997343711722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.16358693958992 0.0553047551825065 0.0816368280069471 0.0967633465911398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax FunfzigEstimator 0.692684613500179 0.460305207521243 0.0239558121734009 0.00762655616622366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.677649023473225 0.512154731313561 0.134376524765523 0.148246058206007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.705943141767173 0.576015639400077 0.470548117041114 0.594113713531299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.808576270009092 0.706164588968622 1.44643370575873 1.74264866687362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.31353723711714 1.22609091044745 10.1847567084508 9.31676664164157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.81873445074082 1.72968142361954 25.049121475187 20.7406998168703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.779301478364803 0.657713270942436 1.39853182843737 1.08640645066263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.97371848862199 0.863085653509275 3.30383137739588 2.46790938155083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.40182892850311 1.29022676639097 12.8268336739118 9.75827520854512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.0341248173193 2.92979971444449 97.7297751753643 73.2357060935451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.52148952590997 4.43217662634129 198.010461147776 159.081320232633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax FunfzigEstimator 0.265060558120191 0.273697083045831 0.0181036008223937 0.323673471316053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.462498184124038 0.464752349937444 0.836447971897974 1.11849262745274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.76603002439718 0.765824751437523 3.51535663824188 3.2702727727847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.42168910636055 1.41948885366565 15.1144041662418 11.9502333826885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.95325629263909 3.95555709425318 108.974725214384 75.2031117815096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 6.35864926502817 6.3670334405588 277.622727042422 175.380560795845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.16527171466373 1.15405440790246 9.99222014493764 6.60792547056011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.21672935387373 2.20736416030746 37.0152204422719 23.544165437743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.27425049972799 4.27316177284939 133.683460910756 88.8151538237428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.6816315790861 11.7082899266996 861.516279524743 514.759446718195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 18.4302014334017 18.3449542231504 2133.76903383063 1176.12551125549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax FunfzigEstimator 0.383019082383835 0.0515516664731991 0.0511751042332177 0.00307647120351582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.463240370986974 0.261356652116231 0.545922539862922 0.490156231261037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.653782515034731 0.485416794120731 2.09653054568742 1.82614933845721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.0764088873851 0.93255999605696 7.83706408133681 7.09051618860268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.76975570455952 2.67167333395771 58.8276815939382 46.2254400396646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.4059367543477 4.31930287924765 150.447939056324 110.573729914785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.929391575133059 0.769281055823184 5.73841935160685 5.30781773881381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.62217990750166 1.47210531334906 18.7064259482555 14.3282371960881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.01423088188596 2.87547097393054 68.7200269067757 51.0414965617608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.968953952089 7.86356528949048 441.709618196599 306.586754126697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.5721266989213 12.478500207259 1036.428069695 676.160054747807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax FunfzigEstimator 1.22024151445676 1.4650134479122 0.133084580109731 8.70290867897986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.23332334295342 1.47525677835739 0.209613375593711 8.82868969648363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.25324576661951 1.49032421500631 0.425408271542828 9.03732659182724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.31601761949871 1.5453745871539 1.19678588487948 9.82895036865863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.69927774491097 1.91464101959143 8.83309531965274 17.8348976233449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.09742674214997 2.31705531704594 19.9203883971124 29.3290626138547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.29478767753176 1.51784910547738 1.26293087716645 9.69056837688924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.42614201644153 1.6372284725668 3.41105054861556 12.0404415303135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.73570570963647 1.93680529432249 9.02269823608217 17.5484002781663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.03270098482576 3.21226383616108 62.5289331941801 64.8919562462794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.25879179762663 4.42945946738881 147.94723984861 138.967318565156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax FunfzigEstimator 0.458721028274031 0.459238362498478 0.0559492077900087 0.882961361056437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.544723811785217 0.546470397254573 0.801593990825319 1.71578579240848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.697446321999347 0.694404841665377 2.28570338208354 2.82882756154154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.05801951097575 1.0566687889202 6.63569718503912 7.00933712125553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.5783909496729 2.58396590294086 51.4217725116558 43.8618961944807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.99909652971095 4.02524152250931 112.965995309536 86.1397963319254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.925076349118591 0.940445394701993 5.26753086976006 5.93002165016614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.54676083868888 1.57045824639882 19.12691350669 16.6806462706952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.74730564603944 2.79025460629795 55.0340628129952 43.0638091450869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.30778828998645 7.45347041871913 372.737693823823 273.379110457774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.5159468200421 11.8049206267823 879.447033689326 650.59831403261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax FunfzigEstimator 0.642796220407297 0.745411503224218 0.0579284759960579 2.2874543865637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.679564100335591 0.774186589299414 0.714796010566407 2.80307060727081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.74361302979171 0.830664511242775 1.84397094321211 3.94501869344133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.907843539289727 0.986408014833526 3.63138605495583 5.53959988769186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.67080821249062 1.73254212118635 20.1358243103068 18.0734776716216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.43561159531728 2.48292422438398 47.4967088872157 39.2579036585435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.844879196069829 0.91954301661257 1.9709855173247 3.75810592675985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.14823455216206 1.21211793144836 5.90191636378461 7.09939999091339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.79565604690374 1.84864733726876 21.9689901039169 20.2436490571477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 4.21474904540143 4.2641209339964 145.423651144539 118.078489242128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 6.42257334854791 6.47137920625742 339.169492405979 266.615398034982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax FunfzigEstimator 0.726707613737009 1.0153889745018 0.03455293419436 4.1756363065825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.740556295099893 1.02282109867778 0.0840160242183913 4.23725176334894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.766282315896327 1.03741808058128 0.234846148464352 4.35739320024308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.845064100147708 1.10076867851966 0.837810728670525 4.97327782705144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.25185691776034 1.48949249840121 7.30294673580912 11.4342424988869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.66147545282702 1.89494068910269 18.4946126327755 21.5422317278968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.821896893647959 1.07771978660066 0.664504142502628 4.70430330476381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.980556118195058 1.22357139162262 2.53248015076467 6.67279184137471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.32927319651924 1.56110683305412 9.40830119212296 13.0814059466252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.65366542240065 2.89839937961386 66.1760669467985 65.3705141796422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.90020166259076 4.15579067522732 153.268971663512 141.986295319685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax FunfzigEstimator 1.25080354528599 1.10456564246992 0.034178962453315 4.91488521516567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.25537015654726 1.11122896942221 0.0636209413271336 4.97271685674529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.26238633864646 1.12275680270511 0.15683435874905 5.07181224428571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.29616724129996 1.16327113776055 0.540442964141017 5.51482480654618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.55218394136298 1.42473744302487 5.51752657014232 10.7068701364489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.82280504727516 1.69612170009425 11.8581105973286 16.7745334398483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.28705180087708 1.15223218885924 0.465965068328782 5.48304195821834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.37493142958414 1.24795496529014 1.88238199316507 7.18413231813969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.5908791002116 1.46448940734965 6.26946123598045 11.3863160326005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.47253974935923 2.3481566008915 38.3659206136535 41.8190528115365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.33865465087204 3.21072156883701 93.239969355784 92.3981915893401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax FunfzigEstimator 1.32334077085267 1.58428011800665 0.0926322623080672 10.1574031453946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.33413830111449 1.59221828309726 0.137706557709314 10.2558416717687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.34947540922749 1.60246867685371 0.275568041705969 10.3771218914453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.39766332361524 1.64071921908175 0.855564403085567 10.8982991969535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.71994991731744 1.93891173371153 7.41747329916158 17.9725989443657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.06182491312324 2.27266371870032 17.0573479601155 27.11755033196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.3803560463919 1.62597989792515 0.84050126666198 10.7655867577727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.4945526378035 1.72418618597965 2.77397318232659 12.3732423493202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.772372484478 1.99087288333761 8.72998812668466 18.1212504366369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.94299637600459 3.17093625671036 60.7354416838824 68.8844627444701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.04601535603657 4.28940935275988 136.592962536756 137.984100186636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax FunfzigEstimator 1.06937569352632 0.0568153019326331 0.0320264788196342 0.0117777695384034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.062449640825 0.176859591762384 0.469959067674241 0.366633394619883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.10414683715111 0.311523015944552 1.54448986056615 1.06123766267683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.28959978599281 0.595275972003089 4.83032747314689 3.99778275283371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.32047020965969 1.69866406613259 32.4354573933147 26.3763237804447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.35589185318408 2.72962983186299 74.5380526261864 57.2485724377087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.20351429244538 0.492646483661942 2.71412722568636 2.66933489670212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.59414354970001 0.955209291570046 10.2074514548336 8.64615560963682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.44360891206742 1.83898850688858 35.0454398978136 28.4455999569432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 5.71954166371683 5.14193539211604 229.741823236225 177.174216059756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 8.73969342374222 8.16342562549888 531.287097792956 387.498633401475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax FunfzigEstimator 20.0288679850313 17.2394075671292 234902.05546147 99031.6973313601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 43.0719023152664 78.1605509004643 1093803.43822023 10527787.0551805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 139.223778443318 106.044350214056 45440985.0240012 10657865.2007496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 79.183844381317 200.808394895341 3978885.86121321 34132012.6085779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 124.492965204796 131.231436503277 5540183.15516273 4721012.22463303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 124.854553557712 193.364186127044 4257658.76684468 18161735.83693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 137.699508817636 61.3161373690378 47885513.3387928 1842478.76766917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 82.078098925553 200.300753628744 4115855.44724457 155370413.959893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 108.044412912014 174.823352868509 2661269.3642293 22931803.8001226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 211.961406895062 147.869155617726 68287476.8523905 7800698.28734429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 167.980069922293 182.918943966334 10752041.4837546 15922956.323452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax FunfzigEstimator 64.9742978629243 63.082972574484 1244372.48417052 1028141.58642391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 152.49965714324 173.966213388637 17423210.1254526 43291399.1357082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 235.273945385022 192.300091060352 61920239.8503859 64770732.2556703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 254.61658627523 150.347729736738 78916174.1452423 20610220.493351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 309.962114835022 228.396094677126 47907272.4782115 17322173.1978864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 286.515391136627 347.782787967274 75843922.8491644 69805027.8002486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 230.114877292359 254.271588959376 49926220.3639733 60053889.3347438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 207.318747462874 236.46492614722 24563313.2481753 20190413.1719784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 436.679011453755 322.046461720317 182569741.608973 64066252.2091055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 532.970713507279 278.939599347523 198448006.698934 36483161.1591256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 282.168388473134 281.503476372262 42683251.0509946 41902402.8889829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax FunfzigEstimator 30.4196962022129 25.5765784452651 261205.531235644 156041.463362152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 112.926157060206 116.331360470089 4455023.53671369 11141166.4983473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 224.886139823346 191.716078112427 39599061.4205459 15661777.9620955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 339.833334981693 250.698644392804 90966664.2837423 20655276.0894703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 318.693265162352 198.807723618625 64185807.363122 4446865.10602228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 234.365451943868 288.158492110742 17241723.0432353 26978020.0284836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 170.704069025788 149.003126367406 9256866.48268908 6465996.23859464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 419.579010156314 154.161327251506 165274219.559715 5787970.76511627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 311.715787330734 168.333777505252 47536000.9612907 8465204.79115473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 180.716173876647 185.762112069625 6165953.92589779 9828595.70005673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 205.161558116297 161.421607780552 20925278.1742125 4515221.22272279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax FunfzigEstimator 32.1558357482202 29.7594914730114 622811.009198888 557687.566553738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 111.897198952891 56.4363898601783 12066667.7072134 1502049.23140216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 109.966481376745 78.2258429257451 7086264.67744864 3422479.90033014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 149.627610548664 142.434115567268 18161337.5316048 19956479.6163855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 112.016597154662 167.266213294895 2414098.70108902 22179453.6878013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 112.671348580016 182.863131885989 2304563.50771585 11154088.3281847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 137.281218169054 142.095707059547 21367336.353015 14904515.5164188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 154.431265234919 202.267164259165 13926555.7262706 37591195.2973748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 118.019030135364 216.492909719611 2448860.78206732 108897111.164363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 150.512767749614 130.140769588468 4912042.03612268 2277376.48118597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 147.370089522391 155.01014497182 3902314.58967081 5978028.47784992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax FunfzigEstimator 27.7167275404062 30.8084403395139 219547.348897607 346558.501098718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 94.2805820638068 68.0160376883886 6133258.9497591 2799234.33111764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 146.821388739066 204.614639439408 38444339.208273 43140717.3290062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 81.2981413569802 126.098273653971 2519919.24018394 11055736.0238786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 170.135135773943 119.702917677868 27531063.6934809 9405840.46328517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 249.46337839892 186.515736046386 141027836.966964 49067524.4812666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 160.17792111265 301.89050593215 44289060.985315 184183135.860466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 186.696674485083 246.627401325532 17983767.4214565 60819653.9142246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 158.025970065922 181.680600579582 10422536.2553983 6963026.89015251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 248.866885461813 156.491549744303 33066206.5439647 9367868.35760943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 199.059705409021 160.430410281735 8022679.86694383 10149024.7661573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax FunfzigEstimator 4.64432912662779 4.00826176463085 12913.8833403826 8650.34104649572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 9.87848179242351 6.84567893646467 56676.9866172615 18798.2758390847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 109.852301163672 10.7073246188252 63565811.1145857 39433.6108691816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 36.8503308675767 43.748112822479 2231078.19446883 5214533.91074056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 49.0730360418123 65.7398595589176 908723.552319448 4594761.25243152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 54.3911913782898 99.942216152381 1425158.44856857 12695015.2534212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 70.5959475343469 21.8719716252246 16491548.7252944 511779.474989805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 38.8297155163429 25.9481716575119 832251.157672567 431593.951499935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 117.392965524067 49.9488374203419 32656900.8451647 2093228.91656031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 82.4028990083035 71.4508069184414 3644946.69329703 2992001.24182485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 96.0356027382702 58.2774245637498 9040603.81947313 468078.430761674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax FunfzigEstimator 14.8785125722901 22.2908147013317 121076.740516318 334844.032172659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 27.0162301962773 42.5205456234887 450689.026261282 1021945.8261774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 35.0807056082689 49.0556138966824 514273.971075422 1080550.64242607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 61.5278720806982 85.6864530938393 1121161.4119201 4304009.19188356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 87.0766806119732 102.052968850829 2448126.65841725 4826268.01661741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 92.5032216576034 78.9711318024888 2061315.42534814 1154130.18740174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 72.3173000527305 86.599799171567 9949568.49831848 17497730.9321892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 63.2405853792122 92.3341668276233 2224884.47002691 5807571.4482866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 98.7641235985883 199.046917923944 4985472.4028181 36266471.1431495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 218.344725627316 316.136014044781 53017823.4402861 211489032.930337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 142.2027998182 217.361976361886 24704907.5245293 73065704.69593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax FunfzigEstimator 30.2501111985625 40.8674986051527 337257.689113675 802756.491032201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 122.642570465801 153.865845832569 17138615.9211355 43625414.0415983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 96.2556352070939 236.787343294309 6270979.24603688 61054116.758481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 113.807985172908 271.588935189174 9113632.01560534 58884927.0746525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 173.974685177767 193.739541669465 11573381.1335395 22928816.3070618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 166.292918106255 225.927577224656 10764498.4511911 25734421.3256934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 156.479134142049 131.79969549555 15703068.4829192 13491132.5476328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 283.197767433532 127.357130327864 85840461.5410783 5957568.11915307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 188.008211838051 192.026027140843 22440773.8313561 35947619.9841551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 160.974802919439 219.26192877353 13331771.8387288 96781113.8963519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 217.800334250599 133.334162414751 43137481.3579502 6722166.01896933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax FunfzigEstimator 13.4401788550801 9.17639523072954 127566.598428324 70403.3717720826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 18.1891643613401 19.2970659217551 188165.586629106 318670.241395501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 48.3009642108152 38.4949161740409 5047935.75008575 1537885.84738556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 60.3229508748734 52.4355519925138 3935000.37839225 1441742.84531083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 61.9173450107337 153.593170911749 2691343.00130046 44139191.0630789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 55.1709092633918 88.0886632511313 764842.361852492 6094118.88411271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 95.7331919453619 56.1779278362586 13367519.8214605 1973266.65438334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 85.2086270960255 58.4827325743307 12089357.1744633 2165187.59156707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 104.877227403617 59.4572350898241 11419165.1358843 1198843.9652131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 114.878449171717 58.9138815288016 13880005.709283 1122541.49353763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 66.1234838469215 52.4663544961638 988447.874057667 371015.926100887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax FunfzigEstimator 5.95979186630324 8.15902633847848 12779.5890825396 25581.600334833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 32.4513837239366 14.3571227564369 8550541.04535363 119652.284226693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 37.4567703484977 41.1438474882986 2666070.97678295 3491737.88738447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 53.8280011234373 26.8128891934914 3074490.1401419 299148.499572561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 87.0310781208517 67.4361104372477 8167134.13383651 2447410.38799047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 79.6482134334588 91.9792245911434 2420645.58352581 8773506.26359053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 52.0377364095545 50.3538118597707 3697569.33927468 3577924.28254477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 69.3128421263583 59.8603521491634 6974480.98177869 2187821.22820625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 98.3001265952098 60.2519834226787 5251013.58129633 1950560.45151938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 98.4795068997858 83.2232138955876 5333586.62858278 2134501.10629405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 107.561615156112 166.75948225883 7452766.65329708 63171193.8859602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax FunfzigEstimator 2.31504921486606 2.21300226135116 206.36330751489 154.988130883714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 4.17698778736373 4.08827117612031 6675.27431641116 13791.2188785854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 7.6265467192261 6.74625478607385 39444.6292053609 10734.0113586251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 12.6684415795825 15.6368759217645 24386.1183798226 92907.7244007693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 47.4425753378476 47.5616885921723 362725.159499659 240272.747963431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 71.677736854054 70.4169306592288 1069831.17135572 401477.319068684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 11.3861048234668 10.9958493060409 63010.9165716149 43723.5122679044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 24.021287988277 28.5140411581234 108684.590108758 254888.036681698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 53.8272331080927 50.0765209565937 371929.556807438 312936.339539382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 101.43736921359 93.8304167146115 1125733.62008829 810691.416957419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 112.685696645086 112.730600266588 732545.067388663 1062153.00951386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax FunfzigEstimator 6.28027567287787 6.48662694749807 1391.00182947046 1382.64442500943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 8.39610539952086 9.98900058318691 5098.38656767487 84676.7763103321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 13.241619180276 12.5247123794115 35567.8147078768 13123.3543969333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 25.0162137982618 28.8090622793637 86919.1846377856 267759.399070682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 81.7490293559053 79.3840490123997 940005.771822026 894237.347656493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 99.1115852018037 100.44041259865 997134.206103218 892614.82135976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 19.4049073452108 17.8552324688842 59980.6358905795 38326.8535424884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 52.1540481405085 42.2214711125394 1987292.89576094 385255.476395688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 85.2135299042424 85.0568401713915 1249265.00966719 1087682.99722311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 128.158286027288 136.055302977156 1369750.26582565 1364871.30301862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 152.871115847316 150.843335118748 1457775.74863938 1373462.57097811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax FunfzigEstimator 2.77230604979503 2.86850533739342 346.974984479715 341.345616989557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 4.53116116062461 4.50557739883737 2372.87131951089 1427.40146596413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 7.76649009671601 7.32171522156788 9705.8637343241 6598.29217820196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 16.810826117784 20.1344153558919 43615.3942585386 142372.594955656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 63.2902852141041 62.5127399999124 766990.137540875 625638.947797881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 71.0079653380821 74.481950303161 390038.118053078 525755.852398419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 13.7968604283336 15.9604179008982 62143.1787118813 96385.9710530027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 32.7619494440774 31.2373063606695 253711.589915736 151399.729034912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 56.9545716564265 55.2963657425807 477650.554097303 341288.411860992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 79.5007134131638 97.8772314051934 440570.259054524 901703.967086702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 119.755543260275 119.071513941928 2446210.64744495 1021029.87094628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax FunfzigEstimator 2.00376089337541 2.19421782148113 185.735668574344 295.342121076451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 5.36786158014894 4.87703722846433 23636.4793981822 4964.17486365377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 15.2142731121994 10.156135195903 533973.896810194 46330.1406714956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 21.255116031039 19.0324612257458 167308.113465756 81335.8603206684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 52.4095297028481 57.0913844814548 295199.56340924 433313.720124683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 78.4187173307562 72.197440524251 966805.972735961 443976.415847842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 13.2541341845085 13.767523563882 39264.2893945139 35737.8983934993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 27.5690197286125 34.6848957577985 148625.602046017 376848.457362948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 58.3443884183685 51.213746885836 760841.826914162 261120.570133417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 89.9608702134191 87.5048694269683 943780.100775605 875642.509974438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 104.107861721399 100.214161952767 677609.154903536 589655.437099451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax FunfzigEstimator 2.81296715102716 2.77073371418532 234.542949845158 202.014625853869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 5.12566882840309 4.42352954539167 23767.9543490315 2683.79938512405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 7.48076142933245 6.68088485150404 14507.8099604855 4848.27234883911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 15.8255602677854 15.0360050744151 55459.9426327848 58944.7977220313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 52.4134406924187 52.3430984375537 292669.679136818 291842.632782696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 72.8177214517574 70.6337459656565 565234.135821655 404947.851120042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 11.6103082197977 13.4845838804608 29288.5748101691 49183.8641795424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 27.1706826292829 29.3867553779553 150595.942982628 183051.114351846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 53.2437203191294 54.3771194885558 267071.435225049 340252.059748194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 103.244778352488 105.558746184618 1350519.13237489 716731.87768212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 121.656807672518 120.365511173728 1309182.76045795 675449.98293969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax FunfzigEstimator 1.28014430319468 1.32421493719725 245.021927736857 291.139516478835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.62064710206708 4.2393230332027 960.796913968451 32240.2166183116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 7.23777974650981 6.43615671067054 22107.1544807709 14381.0023271326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 13.3328414456409 10.8004337295484 68285.8522349309 46463.590179302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 28.6123248967986 28.5056193078678 168311.445495291 139701.726790701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 36.0679196542422 34.1324508770843 116668.796776403 97322.9771085695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 8.07279494789147 9.6802919306089 26075.0067329974 29533.3077381346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 13.3503989366234 17.262732542986 39572.6532134897 62182.8693522031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 25.081038913593 28.2626547760434 125838.774402489 157132.717502322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 57.0324652972111 53.3243104459549 709750.518119924 323661.7839945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 64.1765081599002 60.9302463792066 278623.996844273 166948.981797052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax FunfzigEstimator 2.16284212421541 2.16569650197459 170.935220731556 154.004148432577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 3.60990388363412 3.78705836756619 3435.19247710273 4676.08176674233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 5.44217450091681 6.62120490221642 4265.7752368047 11833.5500147573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 13.1780728691027 13.2551185075493 143445.312207771 73567.1985835979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 48.8368876698403 41.3506247793164 438029.137509356 239450.661317602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 63.7554389601875 60.1342432984395 307894.331972987 279586.639657682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 9.98816104827424 9.65659104889111 27001.1549063817 17713.3610734435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 25.0982276423168 26.4244423533331 243494.258789402 202972.427781031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 49.1536751542937 50.7157856502925 413720.099129077 322468.393139978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 84.1265766730675 82.612977801148 696601.92050305 546675.134406605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 98.9856824808516 103.724889927511 666438.31823136 1010253.57537179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax FunfzigEstimator 2.57259331562024 2.54673773434843 1533.39281249304 2436.8831661398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 4.94672880134315 5.31008996743072 3628.87395234648 40340.3029272621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 8.69918450393414 9.72457380378213 16726.2749062298 78140.8289026615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 20.9281822709871 20.9464220392084 286315.546777503 203703.823303604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 56.7921167688654 52.5349000299435 570775.096166876 392415.558157169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 74.2626732694185 68.9795291339555 639044.188410339 448736.021813169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 13.3841060958443 16.8078240282689 51072.6164314721 203758.762630281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 29.845373569933 31.0574990564876 282587.871051996 248861.33884263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 53.8190548040078 53.0470931530034 837987.517180224 362542.733868718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 88.8623607838368 90.3640466054086 610364.155339506 681905.649412897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 106.206031196876 108.793132193487 837097.724953874 775174.684693306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax FunfzigEstimator 0.853901167828052 0.896105048497581 52.6988543034297 86.5433680954452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.38117367866924 2.07093358825666 1641.73714844164 1245.55667434228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 4.17098718269531 4.63287613955118 5802.33253837786 14450.6106353704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 8.46092685547347 9.15132307431652 30694.9512663204 44139.5224107222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 24.4563892318849 24.4839719508208 196507.172310572 112411.127134318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 32.78141789425 32.0532904776714 177340.551952707 134995.446343013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 5.94625000652581 6.89313288885519 9047.11203830505 13628.2392452677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 12.635321368682 10.7553976830123 41535.1414299704 25363.0027128007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 22.7294930480821 24.8069011328488 76281.6584785463 232935.677535776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 44.7491919765742 44.3768613770982 186451.989455902 139137.909306166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 54.0614624269789 59.141049227155 133114.000649806 307746.136653976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax FunfzigEstimator 0.984074235979327 0.974703357268807 48.6487561196825 42.4690696371123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.02952539087824 2.08974639538499 1943.8485728029 1584.84149949594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.36331120533493 4.07583900741447 2066.60458612189 13331.8397562889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 8.04121436858915 8.64745626089777 21327.4808929629 20992.8672462164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 28.0212748552482 31.6501894802242 193616.175883738 248608.792370418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 42.891394512862 43.9582282370213 326254.56104671 380333.039633054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 6.19643096301382 6.16747644600859 28692.1472843366 11676.1323678818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 15.5872849674735 15.9929787301244 96435.0641493244 237405.821734511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 29.8593873859889 29.30642756772 158331.15752462 211851.610435483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 57.6361326737646 54.2049119401915 328455.015867896 229422.603758971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 67.8933791548837 72.0839728599761 320183.578278954 457575.457530848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax FunfzigEstimator 0.59211700216317 0.572616793337581 4.31775776747456 3.96336624320183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.58640237723467 1.56906813138656 46.2697398530788 47.0216047950799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.8274827032175 2.82700549276016 124.063126252971 112.233170690553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.13951873254414 5.08521724396483 293.952178782526 205.811960228248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 12.916300326881 12.8742793865797 1120.02812420856 664.824042414746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.7128647064339 19.7141236358509 2221.73210881322 1224.12553123028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.24859775548726 4.20028002988917 207.747933451385 175.467284406575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.74201613786717 7.57756471629781 531.740217443493 354.732987073101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 13.7932171287799 13.6641905753697 1307.25518664711 856.35862706457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 32.9270375708447 32.7077002921627 5201.81406066725 2675.88487550509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 49.2192920036415 49.0568299485064 10763.1555492436 4985.32665450462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax FunfzigEstimator 0.934221593874763 0.835504679342649 4.02283411294322 4.64579710187899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.92817539340021 1.92298435195081 108.30768512483 86.5224517826147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.94550554906542 3.12706833726005 120.799261861397 247.161373711542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.23373384444085 5.45423011036784 423.310949784497 368.662255157077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.2575099988629 13.6273211882676 1316.99117735439 1202.21359867363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.4410310039926 20.690816439278 2735.64407475541 1794.39311568914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.42672035541137 4.45936058917789 307.041599321477 194.871365919896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.92001639408895 8.10436230547327 640.674950829054 560.776582406981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.1358184271348 14.2829351242164 1457.01207806329 932.185960292501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 35.1334071818145 35.2320875354825 6395.34970809717 3692.33614867438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 53.5503928290543 53.3839666717869 14089.8459674005 6813.2167274105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax FunfzigEstimator 0.614282548274381 0.582869710748452 4.80564915667534 4.30653237001322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.94545155849373 1.86218159120348 120.005934243068 90.7461502220332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.27092858222717 3.1700972199762 183.334576110423 156.657474187891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.64596103992481 5.6205436644613 341.622498947926 382.265595512718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.7929754468126 13.9010535550841 1270.32301762292 1067.18643764152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.8033501529315 20.6220860032563 2614.94895816535 1553.7581193552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.80793850283428 4.64410872206537 271.570018990985 258.590220122022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.42880149199532 8.20638499063422 616.837486572428 457.698479002665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.9076233846027 14.6198035439032 1552.40398996588 932.902644994182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 34.4876924105393 34.3106106289418 6066.27336792174 3200.35299330124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 50.5103954640994 50.1134491639771 11823.9174723352 5347.17611239327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax FunfzigEstimator 0.503384283350767 0.485672454332833 4.38068984637577 3.96118011891137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.83001361543754 1.70485769787056 121.34509237552 48.7835171857293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.19039082110185 3.0690477272439 176.323831221415 89.587176406604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.6597812826774 5.54132481659354 341.392943141855 199.083997153592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.9820506530883 13.8939654404154 1272.92976870802 789.581466490431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.8258728933003 20.6516905597106 2472.15565727384 1268.29957573726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.70650874936085 4.55663057980336 250.592362247566 138.91463176625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.43031825755465 8.3221453324777 549.581224263862 309.041931231544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.7726402805921 14.7230814382437 1367.2897548607 874.288025469499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 34.4640929751818 34.2506844962559 5675.37081446968 2762.37105866428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.0437382110088 50.8572630618749 11899.8450712998 5771.2581948244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax FunfzigEstimator 0.699133607078282 0.707462857728426 5.08280206703394 4.96054690148739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.78692593960245 1.74233143373653 53.4882446673105 45.420951829243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.12587502710298 3.03501714491734 193.102901186104 115.026756132013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.4735778906119 5.5226588836592 315.5647376446 330.492424894171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.8452315942333 13.68743170226 1330.25424773124 828.639687828355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.7596986526232 20.8025507914095 2455.19774705393 1490.33119960781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.67230923396936 4.56955271443244 237.180875528604 169.259537035829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.41052720697545 8.31440429755951 674.843353980251 602.501714724091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.695867385841 14.5509031532063 1418.50573359465 886.308039908657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 34.8187073029973 35.0451811055462 5867.60323732327 3209.19848618782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.6698856346166 51.7738240043424 11997.5917034286 5783.47892077381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax FunfzigEstimator 0.545891255837365 0.579650780976319 3.01211501872956 3.25198699006267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.58692100903002 1.5921498864802 56.2131099132643 46.5457768336599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.82786514089735 2.78722153822006 117.138775717712 70.6162752435954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.04082209881303 5.04694832339764 252.485618267912 203.632704369085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 12.74953105994 12.7550864753765 1109.89583545716 719.458113779909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.3471596886207 19.527941537375 2071.37510893207 1352.14154528274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.27876932916241 4.2999470360763 210.121172468315 189.669916925478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.6539583022241 7.69584644040149 475.978475249854 344.214902928968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 13.8870106509302 13.8912939469079 1445.93474423796 759.299814952552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 33.6538266442645 33.6467544334356 5641.47830932531 2924.81374294232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 49.8705196957715 50.1983467389349 11584.5345036133 5336.94683332117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax FunfzigEstimator 0.614578167278022 0.611223725596794 5.60959401662429 6.78308031263244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.71785810373487 1.65805447704819 63.6280294259141 52.087090243692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.03301904430113 2.95042492528143 194.195734038818 193.6600612919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.29768183582253 5.34058208776686 317.984594756544 410.77383343804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.0891667240607 12.8473156928682 1237.63938558313 743.558580243861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.5880780697204 19.5238477002022 2220.30643723876 1304.09125897822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.31934577918661 4.18248573765452 211.80488658375 145.319597295188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.73041854801611 7.60103169156084 525.829073396594 348.325638094178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 13.644479790484 13.7241085177413 1231.23633114777 900.533208219271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 32.7487955333001 32.5837578203919 5083.61810549801 2458.89449216552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 48.6298809932967 48.4492133965438 10535.5536806085 4574.14136015908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax FunfzigEstimator 0.704222592719341 0.629131759691507 5.16471668178058 5.28819474853829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.85720624119452 1.76707826062451 86.9423537066502 65.4605431258467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.10602421825437 3.04101222001285 153.818078448223 141.335791875351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.38030815596532 5.31516608256211 313.943267750092 266.228027370283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.2468693885379 13.3424198953547 1123.38830385121 835.67412832694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.1852370711216 20.2678135653812 2346.22006261217 1385.50770946809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.48423926627973 4.36505794122979 266.691241985446 193.05803265181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.99821793115331 7.80605687448268 623.527983231397 366.32959843904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.175272484203 14.1318440857009 1330.35576576738 921.767726549864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 34.3726107604634 33.982873766019 5798.54677412204 2762.92223551327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.6122200051706 50.8004214746965 12327.6914373037 5525.91433900124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax FunfzigEstimator 0.545365723807558 0.480377774653962 5.37998074712642 6.02602158240757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.47601812464291 1.41298637369278 54.661826851574 42.0626851151784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.54472923453156 2.51886339199336 101.068016542248 80.1710315784346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 4.57449573320193 4.59337934417644 233.943020567 180.131769821245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 11.4483080959927 11.5594725613374 790.058774244712 479.427523062263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.4736938825194 17.5426310931852 1593.6391619604 798.882062742581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.67982194349917 3.69066342510617 144.9275556534 140.539128505032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.6846708229875 6.663123622307 322.976228098477 214.801223370144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 12.1120661187103 12.0425999954938 878.628610537813 429.042265854043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 30.4174506841672 30.3296979383123 4319.00346228506 1770.52527741612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 45.6056444379541 45.4914279685856 9123.65438392156 3449.89195252539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax FunfzigEstimator 0.461367758994969 0.449711802067262 7.70062260779161 7.63278155486866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.41726010119439 1.41691398472952 58.5061670597846 74.1632151646644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.4745382756685 2.49435341303246 112.059307503278 115.701128144804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 4.46439670976747 4.44827537116659 229.399566677939 177.499685196411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 11.2618542952282 11.3442885479593 824.434096313324 537.782068320105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.3231923070292 17.3954238942951 1729.11646900082 937.6336658254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.67008931273554 3.62449172957162 182.292187876473 135.189249399127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.76087973167266 6.64539555967068 439.282584679534 271.192231086067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.9878526416919 11.8915493584027 955.637897123408 558.78264538976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 29.4425995217983 29.190489710705 4435.8011887946 1911.66054015133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 43.8218685457016 43.9410775381737 8577.29254655829 3610.64563539437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax FunfzigEstimator 1.16667178385896 0.323263034463454 999.181090784703 1.49687087013149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.00798058163764 0.317949181380404 656.838415194494 0.665760967538708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.347132239218176 1.76773610114648 1.88651047133669 3968.80656361415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.485259075124963 0.70851015959265 11.8919753360857 240.691305067956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.15834826735265 0.772350134101022 162.099036460148 1.4050562250715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.37933240322246 1.31040972225024 2236.32241348176 24.002971472241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.68770778385905 0.431278611971654 1959.71773267337 12.9572593104801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 10.0075418002059 0.492875783744865 185971.834998359 1.09184514397487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.19122858143499 1.90503129703403 190.928751889756 3033.2840308811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.2608128816159 2.31794451986277 1630.25823029644 13.2092470133597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.47868616863688 4.15082596566914 538.181300901059 89.3685019046339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax FunfzigEstimator 0.310912045567432 0.288038621917281 0.892570805286467 0.648212323914069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.320423325591386 0.299338418795876 0.896427899125745 0.660093748402905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.343847132111173 0.323285796262887 0.925332379883042 0.683550171102084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.408171622761815 0.388477567789453 1.04549479091286 0.758039507576754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.73317978371989 0.739412011743901 2.38300622331889 1.37912541454455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.1221849501448 1.14912482618943 5.37601957705859 2.55827173895158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.391948621514544 0.370889200202609 1.06886680346708 0.734170847604488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.523244323473911 0.512646012835308 1.47573472732791 0.964194319933259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.836067604255335 0.843560093672781 3.07447712366562 1.82515421108727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.41323384985435 2.37065317490127 34.8414086226217 11.184559152316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.07789591752741 4.62330812103182 107.661070213038 130.365362907225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax FunfzigEstimator 0.318878268676599 0.30186329071097 0.471423215317661 0.273263711027205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.324107482425351 0.307836499299836 0.478338920489804 0.278650938004711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.340687820132923 0.327690674751507 0.511220662483784 0.299267706450534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.398174118030013 0.393983664406331 0.655329525573192 0.386337462960003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.783047889367834 0.793977364096174 2.46305654729802 1.34440436897875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.25417764106765 1.27142436139027 6.639430912368 3.30453468352657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.37549373144456 0.361814803662354 0.607938907272684 0.345883122545802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.495131796626668 0.492044531042076 1.01002718477275 0.554857698625717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.817256469299039 0.829870101297207 2.75457419588402 1.40236245399659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.39939727845603 2.44349070088678 25.5941898254198 11.3263427519176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.23132026661211 4.34937119078277 88.7130441400859 44.2325429096829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax FunfzigEstimator 0.0933121248409152 0.0968748410937486 0.0411495301916781 0.0466354282589682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.10810760054471 0.113164924649729 0.0497265039260112 0.0527875451752851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.144815600775856 0.149450877066212 0.0807387578917381 0.0717966248834144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.240070259820447 0.24439504608863 0.216686568422255 0.14662912621195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.691706343181953 0.69614785254823 1.98083535478406 0.914746047628462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.17874161292228 1.18608613129357 5.98761277799886 2.43226253100111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.206645907992109 0.208622065145333 0.163555838514285 0.117799706756131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.380620344766966 0.382518746548856 0.584727882758611 0.315346438604326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.759831209232681 0.763115204199172 2.50906185743111 1.07382209363902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.41755379000809 2.42027257508708 27.1794936272787 9.32953700245851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.2826149933924 4.30143470191034 100.170822644152 39.4082590582154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax FunfzigEstimator 0.208173908921955 0.20375983431653 0.182728423545013 0.191415892101112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.218276469619866 0.218754520870851 0.189745499973952 0.203712444950824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.241046249559561 0.247659217012266 0.212845191729203 0.228484822831014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.302504692769726 0.323606125124742 0.304345880029686 0.310101614904321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.638594240045327 0.697143991239143 1.41117085082283 1.01896994066394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.03129278049067 1.11469373749717 3.96900846999525 2.30390224591793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.279347948690658 0.283360866641052 0.266256918829891 0.25878406443469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.403308678334699 0.419492818687361 0.537207139973386 0.441559964413905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.710071912854252 0.732907654985245 1.80581485717144 1.10001891849652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.17143855138801 2.21104221468276 19.5454744903526 7.86039785286997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.80344395039819 3.89833882996688 63.5509132523513 25.4621961160737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax FunfzigEstimator 0.0542093604570538 0.0520308948687056 0.0198072538020934 0.00941456465369932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0756411696992712 0.0745179319691012 0.0381892164660411 0.0162578433114059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.123202847992535 0.122495820738674 0.0867092532470728 0.0374295706250929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.236759230390034 0.233407829806899 0.29283287856279 0.118697021996466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.743228894046692 0.721864475918944 2.81122263718141 0.957952356712089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.27474872356699 1.23523041288635 8.31056967034075 2.67286564686722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.186678837212193 0.186238737645705 0.147762399656677 0.0734019710153116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.373551424914858 0.370916483136961 0.630292249379292 0.282615906252287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.774228451906162 0.762175577405438 2.7964731856327 1.15996149154891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.42869441456736 2.42544269611329 28.1624065322001 13.20824109663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.14347521302787 4.4806638455901 83.7625764405871 116.007790006085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax FunfzigEstimator 0.454129635509474 0.530078547310027 1.36773746568435 1.4835186492284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.461976290357053 0.535328554208658 1.36837945583615 1.49487292668064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.481301487419226 0.552260946680696 1.52063694902715 1.52394658105746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.54884114825364 0.615995534113785 2.74155478234972 1.80543572525984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.10808253525501 1.26908336409464 123.540445984 194.497261287427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.81720436065418 2.03491074185456 464.554364870299 503.161507255291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.502872073921944 0.581499239277211 1.31131651240184 1.57588708850425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.616429896933621 0.709212480098715 1.70939232314127 2.09155925020827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.91815783494164 1.05089516739645 3.49035464911012 5.9534087446979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.86929545097425 2.98432193181184 4086.70678507022 347.300787981874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.50656095973037 4.77822391002947 132.874766828902 295.279702366743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax FunfzigEstimator 0.513734752284282 1.06358136761847 1.15730521519418 150.210524480624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.541775027449123 0.928142308421999 1.78206366323729 138.838886113942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.682128837228359 0.916505435266983 21.2248283329894 150.243274375487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.01808832983211 0.966366887681034 268.814613679001 168.203216004279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.04541223820056 1.0067172634422 10.32171370449 3.09276954302116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.59273459917453 1.79503711542576 46.4810810206359 244.64956823554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.895684079341886 0.847456379432337 118.478350100523 121.78886078603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.25384391760763 0.934355448682078 594.741975738126 108.998848882516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.27521064762632 1.84888522605681 2146.88443756831 880.183152841075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.13122111241744 3.02725022491442 785.212782913466 336.29792579596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.53041495589598 5.14188494118667 207.820723343107 699.25734950809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax FunfzigEstimator 0.558795902242714 0.531632735478862 2.00676031883045 1.3884966366203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.563515813991826 0.534065144484973 2.03951993995166 1.40298898903344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.577369324444255 0.545703563011205 2.10014026014506 1.4323631781432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.623081572148563 0.591460825737303 2.29573864729735 1.53322903440303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.917555692806682 0.904294492641727 4.04749055736252 2.43246699825911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.30347701966559 1.31398506970222 7.60241669163849 4.12812075410089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.602713013349821 0.588876538061692 2.16190493325731 1.50605978207215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.697166647356357 0.698792954058636 2.55089248297714 1.74573529884375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.959558503405242 0.969968336158541 4.10371403537762 2.5375512204793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.33479156314412 2.37634773013408 22.7134915623508 12.2942672747005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.97320541466497 4.20003396998905 69.1149630643552 100.136339472068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax FunfzigEstimator 0.127244362005395 0.125612794204856 0.10111898726291 0.105669819044641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.148831411146998 0.15059265359327 0.282205427398378 0.411749036698422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.17607861632585 0.173842068487691 0.295977417294211 0.354505814996967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.253021863464991 0.248759182488786 0.408723806590431 0.392860399333409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.85338677502116 1.02845363536659 119375.947698952 213.994955464213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.43449857810876 1.28081133130152 15852.1447228933 66.8471308709712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.230971374184867 1.72813564949785 0.963731163028508 2538.73791882382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.0408054204156 0.835227695651279 7539.6787084419 287.390085697483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.01362546426722 0.721539459516113 3111.80625847368 12.2511215692132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.29539067691223 2.04028839295886 141.814165962652 7.75197379130103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.72166983368516 3.59262814945057 111.736684865213 31.7446074109565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax FunfzigEstimator 0.236467320778728 0.229270406803674 0.255740722339421 0.171374201111837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.284777045513815 0.279268924570961 0.333356611932257 0.222344772833454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.392188387822879 0.391625640810454 0.579808154720824 0.372974193728653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.668996086984652 0.679032897284502 1.67010551167294 0.951731210878669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.99142625357683 2.0208675444575 16.159127317202 6.6522817893086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.41449299562274 3.45335262443436 49.0488919043458 17.7695527445531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.562227366659105 0.559242331293675 1.21981709603964 0.682047585424224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.06530778960919 1.06274134036855 4.53507854311502 2.12849006476267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.17289840890105 2.16142102497061 19.825959608479 7.68607091262398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.96435124201575 6.90775265787062 214.448294228974 68.0753100033052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.4009783395049 12.0956075836809 912.165362767242 234.823187192974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax FunfzigEstimator 0.244512550219893 0.224270732093439 0.34610860697687 0.197115010463483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.296472074774271 0.279387115879281 0.427074078306526 0.245745111269497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.406315790632829 0.39666489305127 0.681441708709986 0.389776175432949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.68037133280044 0.684466963628136 1.78261514123622 0.931226609416771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.9807612972479 2.00716481117239 15.9301250839665 6.21708395206428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.37983234818103 3.40823761104467 47.559687219225 16.434930657318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.566776701661179 0.581484814771376 1.26741178707574 0.739624752980577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.05514385096719 1.09434729832179 4.43682745161127 2.19729122752375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.134495873537 2.20162300344684 18.9304005167849 7.77004283985695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.80339613231485 6.90690481056932 199.550725832601 67.3093006772492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.7502176469132 11.8636862477395 607.125063562088 199.91337737344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax FunfzigEstimator 0.280936206383834 0.259426701589477 0.431808361899159 0.263514749147445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.337108041082953 0.312937598958596 0.535512104797978 0.315234571020948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.449834349884293 0.421027436472841 0.815519674184571 0.458847614542602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.724776153107442 0.694481977047942 1.9608853220203 0.996742076420443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.00992042301052 1.99647481024597 16.0262925850619 6.31604746346933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.39178564371297 3.39268025918843 47.1510908599375 16.6027447468412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.612588234462216 0.587397452829339 1.40205010922242 0.777140506127206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.10321504151829 1.08420185853542 4.65999046793692 2.20966950090717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.18614352690103 2.18295194399564 19.4454217344515 7.77316330806035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.87660661300239 6.90612821199493 203.973784530983 67.0236811983172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.9784890600159 11.9231753746147 685.605992888668 201.220678264315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax FunfzigEstimator 0.251070066350554 0.280779832466044 0.287945860169925 0.323497444642901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.307902894505518 0.331599937156794 0.386749284135528 0.384386027727285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.428567030583065 0.450210769574088 0.696722588865059 0.557188771223514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.735005540703114 0.756416298527646 2.06105931583029 1.22330928444475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.18028796648329 2.21336044063289 19.7836104557054 7.909936272523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.72689256041335 3.77220344100079 59.5787992373236 20.9817680539981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.610102177460014 0.631829196289158 1.40684723396253 0.893973859125418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.1575984065845 1.18232300602127 5.3465016160936 2.61687910270889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.35415189691388 2.39607644844335 23.4325613501986 9.39470658934472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.51339009829381 7.59909506095776 250.144199004464 82.9152198076781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.1075487468347 13.2108403814316 798.992281502164 257.164416677051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax FunfzigEstimator 0.332620352364368 0.383396482049865 0.608835665948464 8.37909691337173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.376620540749021 0.419777075234522 0.668998121964754 5.74263599280387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.473051229788563 0.516121632475617 0.905043620339772 4.29940785814349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.733327949055991 0.776874985071052 3.01771369262705 3.28281053775188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.99756845960455 2.02073720102304 25.2833401437563 7.78494373242514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.39234505388905 3.38569977070271 67.565556551658 19.333323252376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.637886616803058 0.650517039134252 1.62204114174004 1.12522784101269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.11070285165585 1.12267362049973 5.30907735553475 2.79366980854541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.18384338400368 2.18466081820089 28.7864540590557 12.15590423471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.8315744384421 6.90418689182042 231.193545956088 233.190237172999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.8139242067045 11.8607233541832 686.975054755806 407.88835746197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax FunfzigEstimator 0.15344182138444 0.154581075532248 0.108448668707241 0.0733947284468239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.220035587254776 0.220643488270289 0.203454271970616 0.126624362963089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.349960786828676 0.350182841760994 0.507039062784119 0.281679015231943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.656997632062779 0.656325980279035 1.86435732446792 0.87776193872855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.01969383374954 2.01831920460029 18.9241048157547 6.95809427628107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.44739343824293 3.44428241924984 56.0121059600114 19.0386447542317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.531152670785253 0.535534605380988 1.15215728024113 0.627607167081533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.05370693586548 1.05993926183659 4.76794969177071 2.21555165896548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.16374346187951 2.17203841612103 20.8822513478925 8.4771856453406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.84849759170548 6.86964544830139 216.044539085515 82.2789435996714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.8997280884588 12.0584328564546 692.830186120103 433.730665669913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax FunfzigEstimator 0.153638246939661 0.150675311115792 0.120647037778678 0.068296122112185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.239355374145043 0.239693489622658 0.247117859502976 0.136561819739225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.395208857658339 0.402860967813988 0.657237752649691 0.331790660495484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.762491009632485 0.778605067474424 2.51410193453903 1.06703893983117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.36743274267767 2.39638696681264 25.3577104554203 8.56759667401018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.02142263000954 4.06423624219425 74.0292010567713 23.8510400269681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.604972321718207 0.613282124949913 1.57159476938661 0.687868477882667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.22045929468865 1.22180553129479 6.63486876606458 2.42680739602253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.51111699840125 2.50335675789633 28.7518258425046 9.28824716102128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.92711639589547 7.86760639138761 304.120343057517 86.9404548689324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.6833700517499 13.6308963374385 914.699024673326 284.126951664658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax FunfzigEstimator 0.136054225701922 0.145482160987035 0.0640179713325358 0.0548045222356568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.196239428371062 0.210227650115962 0.129748492338845 0.103412502582139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.320958216718673 0.337643340554218 0.358193608185591 0.236660203958727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.616821895028525 0.634614547459874 1.42895383681814 0.713738736239425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.95595900690466 1.96286655017661 15.6706874890897 5.32517393671965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.35289747129507 3.34926979308359 46.8911651456658 14.3302737096837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.511497353323582 0.539672543584578 0.986916267704495 0.540893930012014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.04427342303728 1.06866818608864 4.39395957814607 1.80391957565746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.18039404189744 2.1880653544659 19.8990093616698 6.62195346512447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.90329694141063 6.84310511440952 203.871304436736 57.7562986845539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.7664734061397 11.6507596100923 594.782624787028 165.859770753304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax FunfzigEstimator 0.417390761113306 0.428731797758265 0.921574341121206 0.927951940247114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.456579280779978 0.468255790534095 0.989963348915436 0.993827396476191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.549702870314216 0.557495684805451 1.24882029607776 1.17109079637901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.797345008394623 0.798904860727581 2.31913764118403 1.81808605238897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.02349612212713 2.00805460029327 15.6598472389108 7.93803733053888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.37145782303244 3.35358476435549 45.8790870090303 19.6070951111999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.703198340593293 0.690912261985155 1.86162398694639 1.51758916046521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.16168742404234 1.13558018227013 5.09204523892971 3.15924139289302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.17626174008961 2.14858573304086 18.3071736285042 9.05183941939995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.76986138795581 6.74273535123359 214.971709046308 81.1443002069923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.7166256552893 11.7092038024619 625.034985404468 215.911686493724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax FunfzigEstimator 0.109463654332305 0.12362767785362 0.0596075318063062 0.0394024946842102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.213864882232497 0.227403623292627 0.209973259313301 0.113733741106511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.391818962028923 0.401594669673963 0.715154158691375 0.313220239328279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.78509655693441 0.791493866912466 2.93558104608863 1.07903937841699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.4362557005219 2.43299807295233 28.888707196425 9.13890017047228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.1271071594988 4.10628494110952 83.7858217633547 25.6142374995382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.609531960619933 0.633960712464211 1.78803087872557 0.715726905970587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.2413806433685 1.27279019228379 7.48355057743225 2.64434951718559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.53814771889069 2.5822626847009 31.542288891069 10.3131150356581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.0042490267813 8.0039109083986 353.240406290569 102.298078285614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.1182512214022 14.0179308001735 1487.56364513206 474.908921317768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax FunfzigEstimator 0.472297261627686 0.429280852436467 0.701917633227907 0.515166279887582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.742555896542197 0.714779658834945 1.83160596565482 1.20422843844829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.24491347842691 1.22342371301033 5.59075370450246 3.02647672786847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.42848175412716 2.40982783143902 22.9165631391537 9.84925979575436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.55015419541056 7.57248149200129 236.085720428259 79.010851707241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.7750783082016 12.8566704574686 683.799746631351 216.545532711557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.97314479153478 1.9481932241732 15.0157723344703 6.91431964333669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.9938250286873 3.99571453236855 65.3214886831989 25.0942890323605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.2057603283298 8.25077653756981 283.200308694399 96.7259522510791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.9773732910738 25.1924790793478 2649.38310156861 833.972806967841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.3339231117166 41.5640183561862 7238.46988910685 2244.28597818469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax FunfzigEstimator 0.714925547335384 0.715349517708999 1.36459271661412 1.51439480204163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.935063370879953 0.899969089352345 2.46094483552054 2.10993922858019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.39212553059768 1.30853370598348 5.97583300497163 3.84451356958401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.50439231840591 2.368008259497 21.7750046509493 10.5267744023956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.53389050932192 7.39113357486463 222.80732652442 79.6514741681747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.7474255427385 12.6499931034976 654.960046302322 216.558479403896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.09088361896599 1.97817188763505 14.9438083496049 7.81469384701909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.06630409561933 3.92576089950667 62.4193366728231 25.978721312861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.275724597977 8.12098285582395 273.112813669837 96.8339090441462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 25.7147113958147 25.5724414642878 2728.91319001224 850.557839121047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 42.8990097072366 42.7880345214505 7621.11489122533 2342.08673963402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax FunfzigEstimator 0.519727977122903 0.669112765699257 1.11659233248043 0.760848851035214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.866935200048966 0.910403326952667 2.9553658765316 1.2824463738481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.49048844546346 1.41409239171642 8.80240404513759 2.75071623882631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.88268733349691 2.67236482530739 33.3639990211464 8.66562571306125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.65611546269419 7.96428649063022 305.892749370121 70.6793780414036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.4014729409116 13.2675902113389 849.993379958118 194.366299185829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.20277328936665 2.3369665954701 20.4404279243932 7.64201725275382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.44038604606878 4.65029957058061 83.1967233097654 28.3010642969301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.01054368314317 9.3693087078054 342.288612031301 110.488479029525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 27.5117971520662 28.4630692087622 3199.36035359588 990.59419848081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 44.6430071432323 46.6277700808308 8353.75119192668 2690.34072015831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax FunfzigEstimator 0.462070090030773 0.490034644743359 0.576082703153354 0.89022461197094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.748211625545525 0.692221292605493 1.63100948094952 1.41862104381101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.25187602858472 1.10800015105764 5.12166011504076 2.94316377322876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.376636165418 2.21723119520138 20.9362874967973 9.19349021016322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.31886218773655 7.32042687830905 218.765936411638 77.1143169112973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.396203913311 12.5630237895569 637.949931446892 213.132204449889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.98834523048485 1.71302863176428 13.9252386618356 5.96060831426285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.9688776424912 3.62088705275163 60.6813724924571 21.5049472524229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.11456469456198 7.70479234725649 265.749390402227 85.168548325762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.8525935516885 24.4488253777974 2547.47994437609 775.070930256757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.4044611060897 40.8279225569885 7096.47057509467 2130.50703760416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax FunfzigEstimator 0.566812429843443 0.696734273192605 1.01840563752266 1.64536021626085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.797456662289627 0.913084058508925 2.01010311303975 2.37879310233597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.25264076071015 1.3540631367777 5.26446179056998 4.36934339433855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.3606725310368 2.41399635162729 20.3883365777109 11.4876378039611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.33317132480117 7.30219647381194 217.545042830477 80.5390826633167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.5052213949881 12.4667328427471 647.615449161505 215.549883011907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.91838406401725 2.00336047573886 13.2944534296771 8.50343052695276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.84110672586197 3.89088881239677 57.8249111477709 26.698900570802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.91967396277099 7.97951097506377 258.35402948554 96.4720980565534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.7512505171802 24.9671719023278 2599.15120170798 824.488347581998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.5206410553995 41.8220715180757 7330.44203774365 2264.92655045745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax FunfzigEstimator 0.326981998322071 0.330144262422984 0.414743458508096 0.316758583769197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.625492877287083 0.636738008824616 1.45842350287592 0.857477446194312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.13883306617043 1.15286740637932 5.10448706175096 2.36731807017858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.29374069823765 2.30544407957159 21.6586724993488 8.16537972308992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.15833028186923 7.1469290944344 217.508464021664 68.4060485878622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.0293000303709 11.9875012513662 616.515335414551 186.092882872953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.86412591414076 1.87215583922146 14.3977016745902 5.82982166018231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.81440686892161 3.80522363030899 61.7862820316557 21.4714977871812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.77428367725167 7.73640239255282 259.268082000742 82.5284184175069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 23.5249300734148 23.3967293420664 2383.79770051609 719.895274243371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 39.028466325181 38.7690235785178 6553.3315591976 1970.42974175492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax FunfzigEstimator 0.491353325035512 0.567565260994826 0.810704119599335 1.1237932394171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.752229230615742 0.838849315476761 1.87421458446644 1.86235046906837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.24612453849611 1.33682440949422 5.4850690965905 3.80023956002558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.41234633121339 2.49260833283397 22.1681948996495 10.8510514441135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.53467637907656 7.57785571841109 232.294235593672 80.1694421542994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.8097368275778 12.8625178588537 682.073145808612 216.293712650647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.95784946981695 2.04441560700384 14.4261223737422 7.83835762635847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.96881962882416 4.03677338678944 62.9307520564047 25.9210397054195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.18992826030637 8.23863986666427 277.598702742994 95.6385677426142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 25.4223185525363 25.4445668592826 2727.9183910768 821.726419242889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 42.6123746233487 42.5904117429593 7670.28307831004 2278.49925258346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax FunfzigEstimator 0.480071219671406 0.466512491039844 0.710902910648689 0.605989362057547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.744440132439206 0.718720896724143 1.82296324739507 1.19481754020848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.25050799594242 1.20849037369178 5.58937098506644 2.84751946333021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.42756966924415 2.37713108754966 22.7357987462819 9.21973593974139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.54870584004496 7.49548150763093 233.906246630454 75.2954386605881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.7640940297366 12.6989179423886 676.711910521091 205.690412478547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.94893509635893 1.88889928339812 14.5649054283113 6.34970213935609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.93913058199874 3.86273497729296 62.9087381346839 22.8613226006916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.07450048414959 7.97824107711037 271.592179064255 88.0337810576795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.7995046440403 24.6041017965036 2599.94238021501 775.919388076629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.1112860984215 40.8401617189414 7139.30974594813 2125.38515952342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax FunfzigEstimator 0.629831648182909 0.672407466032659 1.47325790448425 1.88553335380668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.859710798280179 0.907062359140757 2.46537383351228 2.62754560104986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.32075700263644 1.37333097224365 6.0638234584139 5.00980273373498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.4384863261426 2.49460804715816 23.6599314121793 13.794902393197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.46165211660021 7.52185492929887 225.20589054124 86.1278386423293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.7274104237355 12.7897291417155 669.079138660483 226.929027522817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.02793188866535 2.05552943668063 16.7269502621748 9.87915795310816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.99485643962135 4.00841224920076 66.3577996380498 29.3684122841268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.18835383019307 8.17176080761348 279.035951889286 101.325588016276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 25.4605180332496 25.3921182867734 2724.47436540338 844.970390208243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 42.6020402490792 42.5413940033679 7645.94230856508 2324.00762762958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax FunfzigEstimator 0.457881070388354 0.444557385410202 0.547728707002777 0.796822457039179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.811154900438437 0.614648370711885 1.85977736317253 1.15680277175379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.36953171140546 0.976062662378102 5.98197368876663 2.27405831056679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.56906472432289 2.00712777911635 23.8433809464885 7.21844976306775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.65520520021442 6.90887126525464 234.931105865464 63.2524389037654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.8623674956181 11.8636582339277 673.578466656136 174.438746267564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.01983117066097 1.63316129626731 14.6163118073304 5.46335697355579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.95870501825912 3.55171183538753 61.5659256902462 20.8667763287343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.05618277366606 7.61743783230027 266.969361766983 82.516553581718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.3768726779303 24.1076238096214 2509.64079812267 741.455297539507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 39.9631467079361 39.9735624882645 6698.09507843866 2038.80094845514 NURBSSource NURBSSource 18 180 0 NormalsMax FunfzigEstimator 0.0178570696488525 0.0149264275884135 0.000128468037639083 0.00112961444039187 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.220464527774161 0.20211621815259 0.139381860711163 0.111039929014273 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.438635652659821 0.41317696911386 0.621753579545621 0.40306106113963 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.8834636175014 0.860670668755434 2.86050234506166 1.45179580289282 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.7720818461951 2.76587285684974 32.4177793371699 11.819145477314 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.73538215945536 4.72198770627395 97.3353166129631 32.277917843775 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.633239644481277 0.698865904296782 1.4270098955892 1.05302645142389 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.31112808011147 1.44675073892968 6.79575362231376 3.79177139881748 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.76582377219494 2.99166402103562 32.1705052746037 14.0084891879237 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.86090331126242 9.39854473576538 342.746479674255 120.8385167181 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 15.139836897393 16.0373656120805 1008.54810848699 342.27082785409 NURBSSource NURBSSource 18 181 1 NormalsMax FunfzigEstimator 0.014726180959766 0.00832774418698626 3.15987871070858E-05 0.000286625223401005 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.230534198032337 0.267001873185744 0.172871970084745 0.182098883255214 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.478678276385669 0.51662553076178 0.890538309447776 0.601310790306215 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.988648222916933 1.01166206556859 4.43391969704313 2.06537604540767 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.13699305463395 3.13251496751486 50.3648212445882 17.0351926908852 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.36729338296637 5.33557852585918 149.352435071182 46.8239343532711 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.852518908052183 0.87945933493129 3.25363020397469 1.63486638885383 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.77485469538951 1.77633194088216 15.4435498256842 6.12757120897173 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.69984189602165 3.65341878522102 69.6013842656348 23.9304654584908 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.5541426361386 11.4412407379669 689.505741688406 214.171873666465 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 19.7102776959429 19.4016343291472 2015.81162523208 600.635867110744 NURBSSource NURBSSource 18 182 2 NormalsMax FunfzigEstimator 0.0027333615614464 0.0110124956200684 1.49534203490612E-05 0.000543291691855537 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.132026375122321 0.195650478432226 0.0730473658112966 0.0972414494147251 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.265144054257324 0.391956901262984 0.313698835305975 0.364129464791762 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.557332694098094 0.770384284705483 1.48454375291364 1.28481667021723 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.9210457432762 2.19973796565474 18.8748437062842 9.24736038046031 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.37876055542009 3.66848794132068 58.83736879673 24.6672296228747 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.429641167277959 0.610171581132265 0.806880083933978 0.806303982253239 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.921204931339085 1.19609125271116 4.00856881144093 2.7583673444567 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.04199899472214 2.33931902223474 20.1297637806182 9.58430832691045 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.85240338740548 7.03677774125235 227.075805842198 79.660029057359 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.7932216905041 11.9332728184682 669.399688088504 228.406063811594 NURBSSource NURBSSource 18 183 3 NormalsMax FunfzigEstimator 0.00715281465941656 0.00449810698239808 7.35058905059262E-06 8.36542734824158E-05 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.109919011816785 0.0862710211494247 0.0331311746039068 0.0189173911458224 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.220196837325165 0.173516692184881 0.148319276748136 0.0677406815678515 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.440246232799227 0.363501931021879 0.668995737960729 0.249630326258203 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.3526571068938 1.23733945337073 7.2347745710586 2.20839937496187 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.29146292886542 2.14923674560397 21.3899739832867 6.17525911142948 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.355342967241358 0.28892433267698 0.421769584336267 0.162022060400432 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.719272797184093 0.626436213259123 1.91113431135394 0.631711717138324 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.47562158543603 1.34934290979259 8.55318752049585 2.5238357007503 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 4.57166941812858 4.3369908614727 85.1041907302706 22.9548328608813 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 7.7114445353911 7.36636663277349 243.422902745966 64.653242288639 NURBSSource NURBSSource 18 184 4 NormalsMax FunfzigEstimator 0.00958594093878529 0.00803165066142026 1.26800909927167E-05 0.000309565500835438 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.129999076500025 0.100655005150937 0.0459503237443756 0.0250743782470813 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.256035668865377 0.20721737866336 0.198297672801648 0.0915594467172033 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.505207666786864 0.436246217698287 0.870705638666039 0.339208061421696 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.53689258557483 1.45589299744871 9.30462540451562 2.9434093519706 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.61054828701631 2.51612362115253 27.6468770433572 8.18732533637747 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.4283586681996 0.36129809820415 0.633760417501364 0.268703888377706 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.847998534091216 0.789248766651957 2.77782033980406 1.07616875634225 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.71632510517448 1.69301645975405 12.1994348551125 4.34668219585214 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 5.29915829325026 5.41752323723245 120.983648618949 39.8576050063785 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 8.91593151997543 9.18036591014754 343.280344406682 111.858476828445 NURBSSource NURBSSource 18 185 5 NormalsMax FunfzigEstimator 0.0189015328084782 0.00335832354327734 6.20412312900681E-05 4.98989672764847E-05 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.32862629698572 0.100419085588062 0.297287221112852 0.0216622017025768 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.593315821979667 0.270422041820862 1.12404022983143 0.148273430649591 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.05791490269844 0.694710626190882 4.36486314484214 0.881013519505019 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.90202678068318 2.60136384622381 40.6369458430926 10.4013787697783 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.84503006730672 4.57119412309236 117.023045766397 30.5583731392888 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.906478018887858 0.535527718281647 3.05188110261283 0.572152524715297 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.65754102157475 1.29697181464411 12.2401667193935 2.8741504314572 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.21027648530769 2.90530246138419 50.6368911611769 12.9358554022018 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.8273373881629 9.58126156749951 495.298172229042 130.597983785315 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 17.1742633229387 17.205894200464 1561.75746429947 515.842978833085 NURBSSource NURBSSource 18 186 6 NormalsMax FunfzigEstimator 0.0326364627557904 0.00684911648630357 0.000223103915029198 0.000197974551532608 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.312870335041685 0.126999913610048 0.246089983426035 0.0406175416574003 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.605650879310047 0.279611470345447 1.02910905287832 0.17231633284524 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.13322003834173 0.669312754666015 4.19729798712254 0.848402709526614 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.12004139791874 2.61255014669183 40.2743194484312 10.2780394782534 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.15642775846025 4.67964542228962 116.536147740775 30.8014384150401 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.936272876618615 0.513145285720125 2.97916274436671 0.573299598675052 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.71502977405901 1.24790308798561 11.8569419377559 2.94746958983254 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.30364395669631 2.85644507185579 49.7797280539868 13.7983692079367 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.0188589808565 9.57856353798283 487.83524003497 139.077898734748 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.9240871817408 16.4964377395293 1402.99408162866 400.235170324252 NURBSSource NURBSSource 18 187 7 NormalsMax FunfzigEstimator 0.00745716299677301 0.021245823207658 2.90874363954529E-05 0.00186795199367358 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0918023955426988 0.189676338032669 0.0236983632794822 0.0995093469782702 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.194122081103025 0.368863745274912 0.119570328874756 0.341542223074675 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.438927551273237 0.70004511088121 0.701789935163864 1.08512773662247 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.6678843918001 1.95322170776773 11.4934930652014 6.60399881266658 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.99152512816631 3.23403548291947 37.7781847288404 16.4954682900676 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.383079304475524 0.64253034471567 0.544684998798548 0.955001993361339 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.897319866526145 1.21785262667239 3.30712613852512 2.91710890965336 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.04817718976839 2.36287957700158 18.0603572384676 9.47031241520704 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.86402761961681 7.12010532487397 207.301566906041 73.6213479847483 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.7608590239527 11.9833385036521 608.488759938669 200.498027224887 NURBSSource NURBSSource 18 188 8 NormalsMax FunfzigEstimator 0.00685513330907702 0.0280323218346966 7.36471556970312E-06 0.00359092669962896 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.111762124837656 0.21328535875272 0.0369369259344174 0.132828602953461 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.233714333979476 0.416503031178893 0.179877792576246 0.460043013956742 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.518837823179883 0.790397315898592 1.01450430320748 1.46321871780657 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.95101494968156 2.16049846923364 16.4765334152054 8.70225173839836 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.4971752039845 3.57448023382469 54.1199240075929 21.9200368488657 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.3807150129654 0.654439222094097 0.54351279586292 1.1141622910807 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.876572076129275 1.23814986751816 3.29226206001868 3.43039405703283 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.01249191064212 2.40616303123236 18.592333720545 11.148397517747 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.69273714935483 7.3035727659637 206.342533565282 88.0754521832508 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.5710811128666 12.3727527959583 619.652034722852 249.245222713547 NURBSSource NURBSSource 18 189 9 NormalsMax FunfzigEstimator 0.0299193385448664 0.0135917535441173 0.000338192007190525 0.000800172406987421 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.237304786754805 0.110530889064207 0.148756620079203 0.0292052705028976 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.458039682846888 0.2456575958635 0.629237472302881 0.119841113951118 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.876283894718034 0.56883432747031 2.60875750049036 0.532037833517567 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.4873987959064 2.11055105851937 24.8689318180894 5.77960522796586 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.11858356000403 3.74834594745342 71.3848242709087 17.0867986369439 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.730630612795395 0.450196215730119 1.81431428256994 0.35086830614906 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.37751567730288 1.04946516269681 7.32159368539439 1.64445122511406 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.67129347373685 2.36020768658237 30.3009419862079 7.49398656282583 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.09268428229137 7.86304953732398 295.123638971413 76.1967975594698 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.7386537488117 13.5384116889795 857.675629228226 222.44404964658 NURBSSource NURBSSource 19 190 0 NormalsMax FunfzigEstimator 0.0149300856817342 0.0109312229683433 6.69646303107219E-05 0.000520998332740596 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.238401245156003 0.187997495409799 0.174354761943413 0.0846064869218045 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.472926299935246 0.383788347726505 0.74801151705984 0.310323051559599 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.945730020079549 0.801637801307417 3.23638012063524 1.17867188329571 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.88153367243324 2.6599482995163 33.5254748915446 10.9876670120403 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.87451104302128 4.59591794809297 98.8039651397242 31.4264711143204 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.705158144493468 0.633521248429632 1.73827650527285 0.781744862825682 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.43352811383387 1.35265758551434 7.73065637413293 3.07589756922425 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.94599446022714 2.85902672674901 34.5193123200417 12.2576470290321 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.19523085972359 9.11624644156086 351.095811372621 112.768707284416 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 15.6322140371551 15.5653980380877 1020.68217953808 322.509346309396 NURBSSource NURBSSource 19 191 1 NormalsMax FunfzigEstimator 0.00826697408615018 0.00464286611600589 3.76106480493972E-05 0.000133389898895085 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.368991376499981 0.215535378639152 0.425664439123628 0.106890631529423 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.702497148557875 0.470604853872499 1.79400181587922 0.464718598275395 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.33598228722819 1.046642361079 7.66133652488163 2.05216877929034 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.9673506660142 3.55930910251401 77.4915643386938 20.373305234441 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 6.679447822464 6.17529038465989 224.206261342977 58.2104971233526 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.985413581839339 0.780320223527704 3.9779508100254 1.20353633925706 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.92289278201865 1.72720293004527 17.2129860527202 5.23853276040881 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.89034948948075 3.71506669043867 74.4498275828542 22.0815069962471 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 12.1645251437074 11.8768716918673 741.342652627899 212.510513097737 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 20.8307422580545 20.4820842460196 2186.76033833596 644.753040734026 NURBSSource NURBSSource 19 192 2 NormalsMax FunfzigEstimator 0.00622950305723651 0.0230885287587693 1.15227382240864E-05 0.00227928769196225 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.128336159003355 0.19226222022604 0.0597126710268102 0.109052733725334 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.26643009956674 0.376054632783424 0.274729259588265 0.370787903751918 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.574700571719848 0.729973327713882 1.39757109453996 1.23795494368091 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.99333782721865 2.12168550037246 18.050235945734 8.94562465904199 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.50150502851434 3.53193904983972 56.2071472749002 23.3907275260948 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.420801579249167 0.594116066794808 0.762801199382681 0.816408307714163 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.899467145353298 1.19785192222832 3.73924739122581 2.93047528639369 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.96108112885029 2.39836647875321 18.3048782577445 10.6155656525461 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.47312092210995 7.32395327126846 202.043313243021 90.1989573850897 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.27252438601 12.3852924908876 627.073995591963 256.831808392822 NURBSSource NURBSSource 19 193 3 NormalsMax FunfzigEstimator 0.00624736813477661 0.00288491249857863 2.35917823937689E-06 3.64965719147481E-05 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.189214886216736 0.0753294481382184 0.0984261115798896 0.0127432086507944 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.353357893304259 0.177317583203222 0.384781805619446 0.0627401781196925 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.645317979829935 0.432805340351109 1.51244501921294 0.319170568246878 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.81275572169207 1.60502149815982 14.2513680488158 3.60781508682354 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.0199820993888 2.81072398686068 40.8196086697249 10.5379142119595 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.546206153314838 0.354894720638828 1.03114001988586 0.227097865332725 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.02396665435507 0.83583107863097 4.1857939541393 1.09003953527777 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.01477644268756 1.84627183705305 17.5012142625094 4.82369369724048 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.09180120700996 5.95979573946943 166.647081611977 46.2527975595949 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 10.2522778271476 10.1225600374516 475.65808249572 130.880748713159 NURBSSource NURBSSource 19 194 4 NormalsMax FunfzigEstimator 0.00797498349684689 0.00684394213497006 7.93779596300191E-06 0.000270042719756753 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.226341902476794 0.106775779545065 0.147558572461039 0.0282219785977708 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.419972022963402 0.251481947438844 0.582176784377645 0.133294239938074 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.778278994825281 0.590849733533969 2.35179373535132 0.627000716871415 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.22177928238903 2.09486597402767 22.6043909927048 6.48100390383633 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.71072815077692 3.63874940784043 64.9419998357969 18.5532939694846 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.603609172464107 0.396549457878751 1.31705439498894 0.304674336854421 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.13791997118877 0.925846259491434 5.37838632518821 1.43607513919368 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.23573679052143 2.03580808250999 22.4801192359314 6.2418057988472 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.77204182088214 6.60887839750318 215.256969383717 59.6834415541859 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.4123897611791 11.2647155568047 614.335181747245 169.319207479447 NURBSSource NURBSSource 19 195 5 NormalsMax FunfzigEstimator 0.0193218856921391 0.00356568253574747 3.84467379906272E-05 5.39189253843897E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.239105213421617 0.0863795337782283 0.147252811302409 0.0165374992651388 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.454066862470506 0.200594582583876 0.594109879871458 0.0773753771794024 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.825826948350379 0.50454668353187 2.32263882106525 0.421721492141684 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.25053278834413 1.97815468973446 21.6328711558074 5.2947487009384 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.74081994117027 3.51790233884594 62.4792738171628 15.8320561290928 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.668255385445618 0.389243729212404 1.4601566094705 0.258052427322039 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.23567468197812 0.949904472194014 5.89831472829828 1.32703879342622 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.40782829383875 2.16583338235611 24.7945405408421 6.15666290440654 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.33287461609335 7.21536610651615 242.761911397315 62.467970409257 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.4348896614413 12.4054508472745 705.041428037165 183.673099473519 NURBSSource NURBSSource 19 196 6 NormalsMax FunfzigEstimator 0.0206544911536732 0.0135929271230074 6.71517089778729E-05 0.000765483741176779 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.230672631040806 0.176662100577673 0.140956908625583 0.0830697020000924 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.45658675388445 0.360657613530149 0.615882122823239 0.310607798509692 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.895476136013214 0.75890637010465 2.71904768428067 1.19087169531977 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.68052854290002 2.56299271024821 29.5869714690873 10.7039198174792 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.53775728110832 4.48481976457224 88.7574231722798 30.1545593943323 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.714428753790281 0.551620335086724 1.62883603863794 0.672032982653156 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.39766469107738 1.19081194925383 7.182776330537 2.65528075725303 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.81414610915609 2.60061062492398 32.1680420571803 10.8439658755967 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.73205255241215 8.51942858695777 329.653320366798 100.935034983314 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.8150591356601 14.554923540144 957.67206697737 284.52768862904 NURBSSource NURBSSource 19 197 7 NormalsMax FunfzigEstimator 0.00263891259760904 0.0259074106661522 3.2996593529215E-06 0.00271486462110816 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0763323987618558 0.28340832938235 0.0188312679630721 0.215938151706679 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.186060632024078 0.533832846894727 0.14017556859224 0.686312044988983 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.498294854917572 0.957111150839645 1.16478534451639 1.92371925780122 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.06160312575612 2.55425577626884 20.8433334789444 11.2243921677034 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.70739511811936 4.25659412464158 67.4330074394162 29.4444832021862 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.411918401823092 0.818161035990016 0.826774397804569 1.51681751167357 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.03661196743864 1.49886890579371 5.44940885445998 4.55134433220746 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.39131573007407 2.87701119970363 29.1225941132564 15.2388289697046 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.0933189718358 8.57679619093431 331.687243631915 122.643735239745 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.8456689696575 14.3353908953291 962.441320296679 334.40009534934 NURBSSource NURBSSource 19 198 8 NormalsMax FunfzigEstimator 0.00323538610329342 0.0355320353966124 2.98494765120873E-06 0.00556496121958446 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.0865908990078675 0.357557056696288 0.0238809146357973 0.349902931902024 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.215626028046985 0.675185472573435 0.184174498681109 1.11934474599041 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.604554226115509 1.20074515858943 1.70626555919961 3.08917634023603 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.56290580660619 3.08966885018651 32.1252717199593 17.7086230946211 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.62702706935168 5.0345180454345 104.808131212531 44.8525836328924 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.408161629320801 0.993611217048946 0.83877223515156 2.13585464421377 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.11649515212362 1.77195009535212 6.50320445170916 5.7569770329388 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.70653857950139 3.30194968626675 37.9416391869677 17.7995917925738 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.32019317646554 9.84423614822763 449.197172890971 140.851895218338 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.2423208823048 17.0404316047214 1374.76828807731 432.71408311606 NURBSSource NURBSSource 19 199 9 NormalsMax FunfzigEstimator 0.0135728146158792 0.013203053493379 7.1481389162875E-05 0.000761043660444024 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.172919113962701 0.140052030384488 0.0778118903774382 0.046071399964308 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.343656305886269 0.287930108635915 0.339158770462502 0.168170583128775 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.682575250595388 0.601472356575062 1.47771367640044 0.622052685979699 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.06750289440347 1.9847280550958 15.5197928619561 5.16639632577276 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.50558572579287 3.43860070788428 46.2600286769827 14.2104755411707 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.564947972408317 0.490307064409396 1.04565964143581 0.477072071067023 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.13318755398281 1.04501583256023 4.59592339443848 1.83163667995013 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.31452024742161 2.21958563676137 20.430651760537 7.21972025082296 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.24004749876026 7.17014697511887 209.136905767135 66.3800592229384 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.2632713303724 12.2229693327905 604.654293598092 188.085989467407 NURBSSource NURBSSource 20 200 0 NormalsMax FunfzigEstimator 0.141525057806642 0.0705785663502881 0.0921144427569561 0.0182776720976807 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.295528687542304 0.236722087841032 0.323913416356841 0.144826753898043 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.552228860387122 0.463180129309909 1.10104963931752 0.478065002494644 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.09349109082988 0.954799551886876 4.5154632887046 1.71105289888615 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.32585619478504 3.14730246865189 46.1725545265843 15.3028246725771 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.66870820295076 5.42072438134023 137.577046136258 43.1382587475357 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.928560624118787 0.786609393806722 3.46819184083751 1.23250313571273 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.88970697210377 1.69020494864588 15.036752034732 4.82296282640433 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.87328776357735 3.63895542736366 65.6076851260694 19.839129080216 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 12.0121005523997 11.6421453590137 652.85982033147 188.783512487784 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 20.6126287938033 19.8477691342023 1987.50453904969 559.293934049748 NURBSSource NURBSSource 20 201 1 NormalsMax FunfzigEstimator 0.161510146410024 0.102596244248199 0.0860459668427365 0.0272732141435759 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.453160648459109 0.297160118295837 0.70315472281655 0.19832961606776 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.805670630401786 0.590742909516816 2.58321067180423 0.729418605383573 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.51701961978754 1.267325143006 10.6322969479589 3.00452852441624 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.54185407228616 4.25718734403782 105.825436891448 28.5692675027733 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 7.68930261169662 7.34697918876772 306.857049348615 80.7186707763892 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.15177853417861 0.95811087382546 5.85717915387159 1.8062804610385 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.25342576343358 2.08060311373399 25.2163393985439 7.53662167105517 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.5750639922591 4.44715605123843 109.263086285273 31.2574945954943 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 14.6330774146301 14.4177890112682 1158.6200278044 316.314550893751 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 26.3479856327977 25.7635579237951 3950.48385054156 1098.00570612763 NURBSSource NURBSSource 20 202 2 NormalsMax FunfzigEstimator 0.0572385466359912 0.154992878214298 0.0116726107060659 0.0477299259990912 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.158867808315369 0.29206472644934 0.0979658068194879 0.172393590690301 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.305051967602102 0.513234469375095 0.394408955017944 0.529749116499309 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.647765507451278 0.982269237986186 1.91075332796322 1.8294017404114 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.29452767476366 2.85652218998296 24.9541030953708 13.7558023348761 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.05423882146746 4.75330129729379 78.1601716837472 36.5671247990584 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.493099943286646 0.730020480776668 0.994878877207035 1.06839149944421 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.08594374782212 1.40423899558617 5.17173268459085 3.65690080310997 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.39201340120856 2.76321372510172 25.9211429928927 12.9177539011611 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.85385475255949 8.37272317227903 284.145313646506 107.370171461127 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.5009832154527 14.1715730506976 844.289561288528 302.952363375739 NURBSSource NURBSSource 20 203 3 NormalsMax FunfzigEstimator 0.0689871386494924 0.0245832975557164 0.0165786147417895 0.00153888733694442 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.238882176226181 0.113519963262902 0.181086152496427 0.0268068670185785 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.427197866362167 0.261710422985724 0.651297039024643 0.131557858050831 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.791486933571078 0.614938813145279 2.57438079071018 0.638607603062184 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.28743612165033 2.15386022629294 24.4416091092912 6.67061547287881 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.82443105759631 3.72189756043114 69.6519102451548 19.054053092343 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.663712877887545 0.475674849902743 1.73383520299224 0.446020868519228 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.26620163069497 1.08710796111944 7.08572685460746 2.0234789298819 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.51252311789183 2.35729557850636 29.5697280025601 8.67899849393703 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.64858725052911 7.55791123259851 282.321508562231 83.5208002678336 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.1625481616236 12.9556003940886 851.278131157362 245.522665254141 NURBSSource NURBSSource 20 204 4 NormalsMax FunfzigEstimator 0.0711329618532129 0.0383254579700528 0.0160730731784629 0.00514445187253295 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.248969487874534 0.129074642821921 0.190016414909674 0.0357852224394434 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.449666098085166 0.290261306181859 0.70603393044764 0.160734425192811 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.837000825235674 0.66586585743946 2.84890820181011 0.749151264923835 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.45265401860722 2.3177933834603 28.0049817387185 7.74481617797583 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.13405720697463 4.01496900857265 81.3226850140501 22.3139798965903 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.70723873003902 0.542741155566045 2.04106787906421 0.600114090212635 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.37148682767139 1.20538915446666 8.59843817212466 2.62501715474818 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.75580235466669 2.60148939670661 36.4556749164629 11.2289943651358 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.49136886645442 8.62155311737874 360.360295040848 201.050142781053 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.5781631557594 14.279096334771 1140.64331905693 316.654917833165 NURBSSource NURBSSource 20 205 5 NormalsMax FunfzigEstimator 0.115959752969859 0.0293707883404742 0.0503958553237405 0.00249034272208101 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.329068785970768 0.119020705767389 0.340773365493811 0.0314361957905066 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.579197525951788 0.273964955707536 1.1306283791914 0.157716060675443 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.0462197875361 0.672214816923904 4.230911134524 0.831378513463591 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.9341449151416 2.51655203617078 38.9449698711372 9.49268440786805 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.88892174713701 4.42722573646111 111.100374462921 27.7212786425019 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.855086787022876 0.520922839671154 2.78552136218158 0.585390125550021 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.58785802572911 1.23912010341949 11.012649970679 2.79661720150322 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.10717624050161 2.77765095709549 45.6757242694375 12.4654853547443 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.54792587015164 9.217259327263 454.174391442208 129.889507990721 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.4168004969833 16.1913430237597 1388.81882191515 453.40672950054 NURBSSource NURBSSource 20 206 6 NormalsMax FunfzigEstimator 0.108779199403985 0.074519788903898 0.0383283025051922 0.0165137048698493 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.303255487670926 0.219947801884174 0.284982143851139 0.117602634707204 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.563997364256492 0.431072821877649 1.04951714778881 0.414640490447736 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.08699473368973 0.905148226757434 4.37185729332648 1.60930374021012 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.30097614024961 3.04994840165093 46.6933962897113 14.7745673628526 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.61647766382388 5.32320502522908 139.67978742614 41.914360865744 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.907712338091961 0.717935816012068 3.04051137718135 1.07114715883232 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.78746490721296 1.57922600181137 13.2002587057245 4.38558308992663 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.6228244473568 3.43533960878198 58.374596439471 18.177693914248 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.3267238002306 11.1653753951765 592.165329407416 173.026133022682 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 19.2551982656614 19.1488665252225 1708.21645074514 502.301200089157 NURBSSource NURBSSource 20 207 7 NormalsMax FunfzigEstimator 0.0252466740869921 0.156136504969444 0.00195592014004291 0.048597553524346 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.116634867749186 0.425982695669269 0.0605743960689276 0.392459892719052 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.295634573621948 0.732135102724982 0.459234123235133 1.12708774791723 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.768638423529174 1.29825850912291 3.21724994287828 3.30374745707362 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.9576070785237 3.54469023535922 46.7139784783121 22.1722305240095 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.23464670433084 5.86531987565548 145.22032565605 58.1513654509616 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.59423730850364 1.01567901493134 1.81890920047224 2.14539418530265 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.44683216607447 1.86365425588138 10.8755451374542 6.83301492227299 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.28661110421691 3.62129780486368 55.441776331939 24.0897159481257 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.9047938377277 11.0233128381661 606.501743927721 207.604646385612 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 19.006766744767 18.9456806601714 1846.45205801967 616.568570264446 NURBSSource NURBSSource 20 208 8 NormalsMax FunfzigEstimator 0.0274005492495772 0.147785039833693 0.00249582062486028 0.0585728456749042 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.116852617813266 0.470606316087403 0.0539905322295036 0.526019917513758 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.299141926541475 0.831352919822648 0.422663968854766 1.49664267261624 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.81026397778348 1.45877455048382 3.33193640314662 4.12616379642874 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.24601568922926 3.89349986427204 53.5142981142716 26.4576073782946 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.77344455421518 6.46568058787507 169.013796724522 70.47222713891 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.614888712781692 1.15352997536707 2.09368041164722 2.90801830112232 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.53753279279337 2.10652352222253 12.968904697209 8.96224730008252 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.51709978427844 4.05020449756273 66.7050161124133 31.0608294999591 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.6181116679989 12.3081834882141 718.158491321822 267.533987542532 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 19.9952423350528 21.007330043861 2139.95868459049 793.732782371899 NURBSSource NURBSSource 20 209 9 NormalsMax FunfzigEstimator 0.0722086833786754 0.0903325456757867 0.0140679090007229 0.0136546992896097 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.2283521144949 0.208257700453073 0.152720312115548 0.0754508277906159 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.430531769894059 0.391778392019031 0.597859080392692 0.266130848139362 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.851831975440669 0.795714693885504 2.57725427712404 1.01709705933407 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.60010764135179 2.55265014412303 27.4429955507222 8.77302451174768 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.42156806441612 4.38572644677169 81.8406745045224 24.4248950573649 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.64155231435932 0.628088512060136 1.45000668870332 0.642354631615491 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.31433893037943 1.29861056919205 6.64248623488099 2.50600014780619 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.73162513805585 2.72073190969193 30.3471993742259 9.92774233638569 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.63905503795639 8.6255081617269 316.67180944497 91.8495362517433 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.8135661390334 14.7272248130532 941.161163303639 268.323076685022 NURBSSource NURBSSource 21 210 0 NormalsMax FunfzigEstimator 0.650890284613443 0.194916239363037 2.14009697217917 0.139283561700818 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.04754975687108 0.586687736185776 5.2219097884783 1.07840141054912 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.73565260211748 1.20923625968319 14.8613704978488 4.25630204774917 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.22622156706058 2.58428655129822 53.3612935036891 15.6735750770648 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.82813381855532 8.76837411171653 506.505686276482 161.125112950635 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 16.1435088315461 14.9690750282072 1367.5921285952 514.93532760482 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.8806798073044 2.39159707565833 43.3459261868104 19.5897375083973 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.68194167902749 5.16412020799396 175.908429357405 86.0275215841037 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.5927876853352 12.1251724982817 752.915998930717 1685.4196348865 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 35.0719223232811 38.0645616931554 7700.49269348154 8569.74724293418 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 70.12209725959 65.3801272686991 199537.348047523 35867.5352958586 NURBSSource NURBSSource 21 211 1 NormalsMax FunfzigEstimator 0.707964879095511 0.535364393608843 8.47612873879568 1.56789004733598 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.52968012050885 1.26308216014689 28.0280364177699 7.13529658664719 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.69346507750204 2.31898435397355 80.2480890896005 23.310835092256 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.20587346925267 4.63322912095196 296.151345353332 89.2016924405059 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 14.6143189070943 14.3779962773755 1822.51873774125 892.18985034305 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 27.183313928671 30.7220173615714 11180.9512527192 14861.7872746984 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.8845951848792 4.38118907805633 135.325886602794 180.596080529224 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.81149393125908 8.95130271553624 534.570833310331 641.210523197205 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 18.8609204668697 16.7611087540412 4988.58648638612 1548.73778792908 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 56.2495236615766 58.2006075168595 31012.8478317685 23389.6232709391 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 107.78640888459 92.4673154337638 182180.593747296 82006.2883680648 NURBSSource NURBSSource 21 212 2 NormalsMax FunfzigEstimator 0.158718160153609 0.850333693021712 0.161685139512015 2.3586126876948 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.532421380410069 1.14976575931826 7.30352408041519 4.48499183828105 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.09982020863099 1.69516871767751 28.5080956724135 11.3280683592501 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.43530781817823 3.01381326909794 110.744665900415 54.8365623364907 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.38063955524872 9.4495446043378 2907.38202341379 1648.88961245718 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 18.7343639045181 15.673907421802 18130.0425641539 4205.46602579774 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.15792962827595 3.2717417451937 67.1457478688084 211.260559786848 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.43042566878388 6.17239605937036 1632.06997297977 911.000918166014 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 18.9030739949757 10.3643987486147 59384.6125702036 1008.13530415513 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 39.3427488603866 51.2912271045275 36434.8479661648 435880.626552451 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 48.6059794750764 58.8943795147619 20717.2664406955 165969.631298922 NURBSSource NURBSSource 21 213 3 NormalsMax FunfzigEstimator 0.323890246853038 0.17361918485979 0.747015602669981 0.336719130343366 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.913107958015808 0.722378896475755 7.06497972312213 4.73637433460059 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.62261329643022 1.41844010432446 23.2907773347115 17.5865946102951 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.02712267171121 2.84032809142526 80.6064155466065 71.1378993450989 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.22917430835536 9.39571492350667 577.993429875497 1567.21717507991 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 16.0331781710798 16.2543152384308 3461.84512533178 4485.31304078997 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.38127179205502 2.28825516634829 39.7250937975962 31.1142705040576 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.62988830746305 4.98998347165695 156.895040848948 214.720954842247 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.69992706374523 9.10747067331977 859.062814259155 308.940992442804 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 29.3309537236485 26.1244045167028 8429.24888025198 2739.03779508616 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 62.1283235622972 62.4629615148632 152457.777765523 165715.814164613 NURBSSource NURBSSource 21 214 4 NormalsMax FunfzigEstimator 0.29405700876506 0.433969683815606 0.501113848401553 10.9870066160759 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.12687214930052 0.76601128193122 82.0713189621453 10.8020672638408 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.90846816057262 1.45752370029317 343.292377738421 36.0833079767213 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.60697800226453 3.03233019003536 44.7300029629848 138.007349804177 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.72861273461765 8.41096139068946 776.159277206826 604.05113346755 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.9386390232965 13.9067778093065 2061.33539623491 1236.71120243764 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.10564625333747 1.95746181555785 36.5705940323751 16.6722242140201 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.25634588116059 3.90812531834923 164.289870918585 58.6618503143777 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.9501656834286 7.49904027756556 4645.82966117148 158.899391628572 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 33.4736879165413 30.4892004766696 36787.7234366539 10316.7198633588 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 56.7360624353486 53.3801012365493 62884.6964092714 20229.707131172 NURBSSource NURBSSource 21 215 5 NormalsMax FunfzigEstimator 0.445016248281889 0.159561747420729 1.06254943145844 0.155158454466166 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.924946905059416 0.754516829023319 5.26015917859145 17.2237133861972 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.58103960379154 1.57433088378367 16.6238070189206 80.0246365386495 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.92275660128514 3.47548572218581 58.0742222111122 570.929459006952 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.39771325324567 14.1572308444274 478.602498499082 31473.3425283017 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 15.327058470511 16.9164629298868 3386.44720754799 6043.44141769272 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.98816772109569 2.19050404162902 108.838235893861 17.9876488524597 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.5854155868915 4.41556495043146 337.243012599521 64.4005917666071 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.67275516688 8.87130572544646 1069.36889637454 261.560221719364 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 30.5496819686391 26.726456344994 7443.67725210535 2256.49002644111 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 60.7664064614473 58.4002214580811 61463.0215710408 74793.5033569127 NURBSSource NURBSSource 21 216 6 NormalsMax FunfzigEstimator 0.382123036168796 0.23799622836108 0.905563690674573 0.17545414130318 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.737503511604013 0.653913392492973 2.50640073130533 1.64672485556426 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.30350032107946 1.26726923726436 8.8381349784491 7.55431215187166 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.56999947326422 2.61871330833227 37.4522111694911 34.2978051931821 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.12809038867313 8.26348982926478 1827.98331246938 319.831531931139 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 21.1574540309119 14.7842265760516 42577.0498739169 1165.01155106373 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.55285692418968 2.7293857459893 103.077976162119 141.369494722608 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.01734413135221 5.88106319550072 9271.7519786262 751.237832283436 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.2923729337684 11.7898635613286 465.263177441684 1993.23782229899 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 27.9378984534954 31.1114826441388 4558.81814827356 2371.17626522102 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 52.0800249941846 52.9219499641701 21339.2994937861 8596.07707391411 NURBSSource NURBSSource 21 217 7 NormalsMax FunfzigEstimator 0.0990980403626113 1.02086510175278 0.0597106246609307 10.700271536771 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.46694350296819 1.49932450177344 4.37593094457283 23.411254732708 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.08075623737766 2.19316169559441 20.7719997343549 49.690716613884 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.54225646750991 3.4507419817262 97.0528065026495 49.217983201623 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.24010118147058 9.50834345812512 523.192087041583 456.405570397852 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.1472207586158 15.8577324172567 1465.43729446892 956.328504942614 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.21412849338008 3.21369469177172 47.5851305254102 35.0670095220055 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.07026983341557 5.86157763872752 249.038555481727 102.558097842548 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.2433999898039 11.196638030158 1370.82133855823 423.627885060085 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.335960996724 52.7585649877759 9264.36051302798 152352.119931742 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 63.0398847660963 54.0866926045571 86821.266923711 11690.0829392355 NURBSSource NURBSSource 21 218 8 NormalsMax FunfzigEstimator 0.119303000348352 0.509144429186931 0.139161998995904 0.913816734962421 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.632598844677693 1.46562170341541 3.74449963247706 29.6570893439179 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.40575715691985 2.60054265674449 16.8492860245307 133.656637111959 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.0706484094327 4.77231893219381 72.9961001488364 393.731081153167 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.5817647698773 10.713701132043 627.200461411115 412.722003527112 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.1607550608645 18.408139109621 2974.53664163389 1913.37250476408 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.88986072893479 3.04713408055905 134.004751534913 33.4213667931258 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.21488504563074 5.98721838988765 619.021268930334 136.040330233473 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 12.7142820276437 12.0395543920822 2726.60003806097 637.807656089116 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.9063343704104 40.4582704354182 6752.15236195467 10357.7573905006 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 76.5628565141287 99.7953324103541 220048.40683295 286573.962454275 NURBSSource NURBSSource 21 219 9 NormalsMax FunfzigEstimator 0.21743169962803 0.575851343680138 0.142227254255402 0.691106242212505 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.570080467458316 0.934656953038054 1.48508075239882 1.67621794865143 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.13097325748002 1.51690854433337 6.65611885091589 4.8545046556122 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.40348245890637 2.79114072653815 31.327781778604 16.9798101879673 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.86673722952186 8.30260831985994 344.948252729867 181.553940397038 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 13.7347264758892 13.8334474699451 1162.90714292475 489.317669665014 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.34810757621565 2.71331508602931 45.9047262785481 36.0452350459664 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.60890642451616 4.96985223942378 141.304043748799 91.6161629620106 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.4466138128913 9.38917585201732 1964.78004858902 289.942887732574 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 26.6262235217072 28.0949694540226 5550.15708666176 4420.98037309379 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 47.6850986923389 42.5450886020121 22075.8813515045 4589.02766528968 NURBSSource NURBSSource 22 220 0 NormalsMax FunfzigEstimator 0.0152012047253256 0.0168482168287437 7.0141689972647E-05 0.00137025318938662 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.428536289612796 0.459160022112635 0.583532163204242 0.537392007920871 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.880168383927804 0.927070668006135 2.78713554218605 1.88996320295773 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.83990651278315 1.89240993074559 13.5095269124077 6.71150717609225 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.90335858377119 5.95047164877411 151.630355668856 55.1095357093238 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 10.0606756978249 10.0892542542622 447.310275741041 151.159686769345 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.47442527954548 1.508105162753 8.70876041199523 4.59946885199454 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.10730816335311 3.11999950369518 41.2818067944014 17.0425396848804 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.48555956040923 6.44338123896238 185.651693486068 65.8722699277933 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 20.2743583060822 20.0126449224428 1845.57976797784 588.764967488682 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 34.3153972571123 33.826493849061 5287.86198998099 1661.02691984037 NURBSSource NURBSSource 22 221 1 NormalsMax FunfzigEstimator 0.0127790613174138 0.00958005134736292 4.95076495387409E-05 0.000394509349494369 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.506335205759793 0.664702079454192 1.13967406747804 1.0856229924401 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.09687752548868 1.27231827611344 6.0041540594758 3.68751453256494 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.34021424915243 2.51159015217957 28.9525090342091 13.4394327719015 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.49949031326952 7.66977728137335 304.239905573398 113.948208580404 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.716284206835 12.9221983186164 875.102258011326 313.071699095309 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.95787539154836 2.10159829589621 20.0569439595763 9.35496632639601 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.11891262852492 4.23246902710999 91.2924618829211 35.4414525887574 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.52218384140598 8.59912297072225 393.400873596401 138.355893672023 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 26.3167834981891 26.3281839527724 3741.97941333675 1225.43802841029 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 44.5314345949553 44.4942068512435 10669.4172457451 3436.28438951342 NURBSSource NURBSSource 22 222 2 NormalsMax FunfzigEstimator 0.00529308823840487 0.0139518691042417 4.35604297594655E-05 0.000888058185076831 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.339659296967066 0.573293304648297 0.558725918500222 0.952446471360686 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.744109843132713 1.10717184790437 2.97299836259787 3.17268310600756 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.67741458544996 2.11181323705663 15.8318233849524 10.6831514802272 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.74482575717521 6.16090791222589 187.093766681244 85.1845484807374 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.89553264790875 10.299018691555 553.602581587252 233.339025831776 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.28018041569516 1.66980291857957 9.48872854299811 6.94723817449997 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.83922761910416 3.23786086477127 47.0216234260052 24.9043018717564 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.09149057313004 6.4341705235853 215.416627343399 95.0188545545371 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.4666999798923 19.7095262022983 2194.88856714748 870.513675879759 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 33.1231789718422 33.5773930529478 6297.22549503738 2511.72268349572 NURBSSource NURBSSource 22 223 3 NormalsMax FunfzigEstimator 0.00722533793975755 0.00516048795020629 9.78943425744053E-06 0.000115147469331942 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.226393193151278 0.202918492127139 0.16315700979681 0.0949367629730615 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.45723202266124 0.421147327808878 0.750660519368703 0.345029624737552 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.936035033169386 0.894379592432305 3.46220701942586 1.31427068831137 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.93684107114661 2.89492698668187 36.4354843050362 11.5907113364732 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.96646991917342 4.92132588169478 105.323747597744 32.1095475226022 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.776986805040753 0.725749644520648 2.35054570615409 0.941149729717144 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.59367115904091 1.5458693892697 10.5544119767943 3.71196619918044 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.26165561834708 3.22707202548675 45.5982535629016 14.8239526045338 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 10.0205523221561 10.0089424650994 437.821099512717 134.046783134502 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.8451990289611 16.855924499626 1239.53347307178 376.988179114547 NURBSSource NURBSSource 22 224 4 NormalsMax FunfzigEstimator 0.00918215291636859 0.00768121873757497 3.4714962094833E-05 0.000279238810415223 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.268471495856343 0.232741950515406 0.233996911059853 0.123240250912526 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.536287411250349 0.489506083691399 1.04027596846539 0.466363069813904 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.08652658243227 1.03842784943294 4.66521308415665 1.81104747867827 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.39302325280329 3.35052390444965 48.71831097161 16.1604406205822 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.74246206413403 5.70495872258143 141.311037084054 45.0545081529529 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.864353878109359 0.809644765250484 2.92531286349689 1.1844640673432 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.7722343225924 1.71954374680226 13.0652464990534 4.70103507083063 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.63784409168158 3.59022481433644 56.6594340299747 18.8121330224224 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.2309124857005 11.1722453870502 548.982156131719 170.477280436944 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 18.9164301772947 18.7991492614371 1558.51095803363 476.649751305419 NURBSSource NURBSSource 22 225 5 NormalsMax FunfzigEstimator 0.0164345800653269 0.00447526457219828 9.03324986980698E-05 0.000120180294252755 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.570737662887743 0.304510589980685 1.07961746834805 0.198810723863534 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.03813385349283 0.736617369072135 4.29049573994936 0.998105030585614 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.95873177014958 1.68605546949176 17.6608314455614 4.58687917729622 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.8468903820242 5.65332570292628 171.081114803032 45.5742044260106 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.84796196520024 9.67119026570355 489.649923843068 129.710366915828 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.62229001565082 1.33905622489947 11.9118912024205 3.2457541020383 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.18173236475373 2.94191181373876 49.975486553652 14.0860926344214 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.40697251646105 6.20793168906605 209.101293768414 58.7354190519821 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.8643989515165 19.6629871051788 2040.17888683181 567.712140040809 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 34.556561323712 34.3147795451067 6280.55506139726 1804.74601224512 NURBSSource NURBSSource 22 226 6 NormalsMax FunfzigEstimator 0.0289042655675939 0.00730332315087077 0.000298658048075649 0.000230665034341687 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.607337730536814 0.323941065438508 1.12822627666279 0.233801292346302 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.13876026375126 0.753114380637202 4.61996017039578 1.10752006074591 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.15807209058886 1.74798819761833 19.2940405398523 5.25307528448563 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.39444275973582 6.00881025116653 190.125690046545 54.6112297103319 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 10.7381953424879 10.3372907988882 545.642248604804 156.668262686493 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.79754651308843 1.37467104760163 13.1762495663905 3.47710880238867 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.50955082959487 3.09111296150062 55.8363697345797 15.7038569101071 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.04105174562161 6.62820503507799 235.896860157625 67.2169703561567 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 21.5667322537547 20.9798476466018 2269.26586821889 639.825763599983 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 36.4812649567247 35.6572282018301 6528.50948055315 1835.96319869573 NURBSSource NURBSSource 22 227 7 NormalsMax FunfzigEstimator 0.00855845759692074 0.0245609800656739 2.94502309527989E-05 0.0026258463525042 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.223960500088616 0.439744813986278 0.165870437132447 0.504031619187505 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.507158772626838 0.840988782473998 0.977177133742616 1.63010896090114 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.19354379493608 1.59127149648443 5.95933723558019 5.01938080665205 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.27428506922445 4.63602623171953 81.130095144104 35.0212741292797 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 7.42201999227562 7.75985691949196 246.814312684251 92.6023022767373 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.934342624133553 1.32915909929033 3.63768695641116 3.81982642723657 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.1505344609612 2.57264562028419 20.4492787218807 12.4816725531176 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.70300377225364 5.1327254644765 100.253182419063 44.7377770122323 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 15.1174064375749 15.6319813493308 1051.51281342338 379.952418542832 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 25.7126781427215 26.3041040171654 3055.04047760259 1061.01756721144 NURBSSource NURBSSource 22 228 8 NormalsMax FunfzigEstimator 0.0074212404882255 0.0371405786486319 9.36420618445032E-06 0.00691312144295695 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.253203601193973 0.530610977445106 0.23024996903658 0.797744204123298 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.573485410117612 1.01274924600845 1.36968622982005 2.56195774043532 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.3566220529464 1.90445080655793 8.47395371467172 7.85134209864808 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.92582110048775 5.45387642131362 117.629003974965 54.5936856710281 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 8.60315128359394 9.10299515635676 361.214923366232 145.045498488493 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.06343421745358 1.57625864652951 5.19252650031648 5.80607234319819 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.48573829085247 3.01159156514415 29.891806334088 18.5652889547383 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.50300599654788 5.93918276143904 148.891461754201 66.0165586283341 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 17.8985107475416 18.124814812926 1586.46666557453 571.239135795622 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 30.7691263407167 30.7938895999359 4703.60849922001 1645.18978226922 NURBSSource NURBSSource 22 229 9 NormalsMax FunfzigEstimator 0.0268403602862508 0.00879439764353441 0.000389826915425384 0.000339337300164599 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.460661246174006 0.272054572155043 0.664540271001678 0.146510744937221 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.887266849129859 0.611738049457575 2.75736036439657 0.628207198401667 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.71446885123382 1.38718119689377 11.4620391065298 2.80103510394157 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.0938621378088 4.76981645136615 112.111505347006 28.8379212489956 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 8.55059270846075 8.23026473540808 322.123133560411 83.1278058599645 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.38429991689641 1.06987231945194 7.20090645137641 1.73476731920393 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.71769118795172 2.38628551839045 30.2959577956106 7.71243536522965 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.45918277401006 5.12659140316611 128.030442202685 33.1222625792361 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 16.7057026990907 16.338052892033 1232.13304742552 319.456935143373 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 28.2505066461342 27.8505289119161 3545.15538032701 925.269887620646 NURBSSource NURBSSource 23 230 0 NormalsMax FunfzigEstimator 0.0156585209803787 0.0119225832491403 0.000120661512062248 0.000621690881698865 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.481550871131088 0.394970699259528 0.758344830050348 0.356500182955682 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.956330237977711 0.822787107241432 3.26209857899739 1.33825895381491 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.91187300953865 1.75735150705469 14.2169065063332 5.30302640332374 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.90909116270496 5.73131970569439 147.372516316311 49.617107891187 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.98557195187259 9.77457911939733 427.6385600686 140.065601696358 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.53153827177401 1.41516538218339 9.25567483328816 3.79538119686037 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.12212598410403 3.02192138901561 40.9944501902456 15.509057323049 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.4089324318256 6.33925300789319 178.457792793449 63.7283383714763 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.7790865661778 19.8038763315168 1729.38412874663 590.418466955806 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 33.0820361486425 33.2239641799994 4816.52037628489 1641.17347200489 NURBSSource NURBSSource 23 231 1 NormalsMax FunfzigEstimator 0.00822572436891296 0.0085009649573706 5.87297628438037E-05 0.000428696557032252 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.635516284185066 0.508669535685648 1.4884003552252 0.595241630744052 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.22907771978344 1.08985774942545 6.59785750340648 2.37832339700305 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.45670011472528 2.34131347448551 29.292338201542 9.62829464632257 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.62967505733838 7.5687460279542 296.573447241869 88.6583310126748 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.9182025437038 12.8952735197184 854.587912675452 251.441374724909 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.03160269525447 1.87938500744304 19.6127760374475 6.51586524300431 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.13683858010564 3.98773514011699 85.7953026318995 26.428038572555 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.47436705118916 8.29675713198604 366.31878781139 107.272845293909 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 26.339768788585 25.9502704066813 3571.00360512151 1018.63181482755 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 45.317626861374 44.8269042545847 10672.82641937 3122.98349812258 NURBSSource NURBSSource 23 232 2 NormalsMax FunfzigEstimator 0.00814937220013048 0.0233920116531777 1.64641669161347E-05 0.0023843550802369 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.298036532384409 0.516755613203198 0.371310628842022 0.819196442444451 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.652541446418378 1.0068792822374 1.98224340529192 2.73770189876855 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.479168780106 1.94209009842777 10.9950926370746 9.05440800922522 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.11937203575644 5.67592744754726 136.751523977506 69.1591988218247 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 8.85583363092288 9.47191949027559 410.297283908861 186.320911633761 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.15620127501694 1.55134078211812 6.57028620172102 6.04983402943395 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.5967500485611 3.01763635129873 34.4724230419765 20.892192140357 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.60994043590708 5.99809045802863 162.870145083104 77.666904687036 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 17.9370609549041 18.2873290208051 1675.52144862957 691.632885778744 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 30.4156997444979 30.8197337572726 4836.0646984389 1953.49641404053 NURBSSource NURBSSource 23 233 3 NormalsMax FunfzigEstimator 0.00663651936674128 0.00310433505794484 4.79991359469145E-06 4.20842347750325E-05 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.358698054094569 0.212655611613618 0.407314881355609 0.0911262675529795 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.669014499464653 0.50012168159832 1.65311354261143 0.417738867788186 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.2892773501448 1.13084000217648 6.90835923680502 1.85268409122264 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.85892012592893 3.75217004924385 66.7202161816912 18.0799829490129 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 6.4636791224568 6.39416813724054 189.242144948899 51.1265456863412 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.03426040909408 0.865488800720249 4.38426815527426 1.19715483409477 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.04714753889871 1.88996677616611 18.4365090139315 5.16068713302163 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.11904557300177 3.97047880330678 76.8444153423989 21.4818914399996 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 12.5060996556211 12.3657861282097 718.387126423277 199.970865322133 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 21.0211667820509 20.8636947555406 2031.72092094646 565.646534165715 NURBSSource NURBSSource 23 234 4 NormalsMax FunfzigEstimator 0.00907230546107371 0.00687867710044363 2.2211223286479E-05 0.000251091301336826 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.387305991159368 0.250865889853263 0.485990175029845 0.140614736181455 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.732522516182226 0.566168340554699 2.01097174980153 0.617143712532566 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.42441515659312 1.24967562356927 8.5179277863616 2.65473713458247 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.29404749180895 4.11991072890714 83.9620098615482 25.4444717867611 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 7.21177552359389 7.02832176339527 240.076003749197 71.8225457007674 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.1391474592953 0.971427679870915 5.32882320461601 1.68153436873676 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.26414298534983 2.10246771911148 22.6971942039164 7.09217245217893 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.57104612502881 4.4171799989858 95.6722901554673 29.2233976655781 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 13.9447005354027 13.7756419987375 904.538370846877 268.906479690876 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 23.4157185809936 23.2482337229467 2551.89880702404 755.505386983605 NURBSSource NURBSSource 23 235 5 NormalsMax FunfzigEstimator 0.0180568724437333 0.00438439306142849 5.053396714267E-05 8.78156747844396E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.439223508883266 0.223500723757628 0.572771813728072 0.100084900106127 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.814987551949529 0.535472251985664 2.29244038237701 0.483529234961955 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.5343183729333 1.2587833739764 9.41324982595587 2.2838243783455 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.5486535141465 4.35365634655535 91.9204682680001 23.6072368887171 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 7.63738339384697 7.49336582670605 263.282189396464 67.7050844196952 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.26806484018584 0.975374814959516 6.28665264165301 1.50557224472208 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.48349189374136 2.20063305936078 26.4875314952394 6.77841047266849 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.99461547649081 4.71804318764459 111.586273894492 28.916827563769 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 15.261362469592 14.9448814332938 1063.20679652312 275.926448110707 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 25.7737345954553 25.4276506003457 3042.00541347922 797.369922822414 NURBSSource NURBSSource 23 236 6 NormalsMax FunfzigEstimator 0.0198553754517649 0.012956073277353 9.3920306150405E-05 0.000710044074056647 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.484699632760898 0.38077809749608 0.695455917965573 0.327354084600928 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.954707705985447 0.80242068728584 3.07221975140704 1.24451128045634 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.8985397283608 1.73150416760433 13.7947458885642 4.94018255762214 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.85408976693939 5.72177609031391 145.467757767151 45.6453745997009 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.88648891983447 9.78999853899814 422.853102935717 128.240851859319 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.44006234043545 1.29559359422757 7.75419198490428 3.05378331300829 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.92030749597144 2.78787018761774 35.0190337759027 12.2756593593412 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.98580767516434 5.8828146657083 153.988820730915 49.6947267375256 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 18.5176240950028 18.4794419093466 1512.34411886375 455.679164798102 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 31.2181454486967 31.2351170821993 4316.93645182465 1284.57721275481 NURBSSource NURBSSource 23 237 7 NormalsMax FunfzigEstimator 0.00429584219272706 0.0244417849503024 1.05691585849374E-05 0.00247282998147797 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.237170818443895 0.606917232071899 0.249785036837566 0.933200090434717 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.610125103386726 1.10137400051821 1.83445305670903 2.74191005987248 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.49712716658771 2.01804094226524 11.3362003057222 8.31602409647073 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.32135087664362 5.77744444655491 143.672004275881 60.4463516618926 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.18559044980463 9.63191000321426 426.761504241009 161.405941136037 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.22142602966431 1.7606809614999 7.93176358041288 6.70202603332951 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.82529408907513 3.35042948395377 42.2307213230057 22.3856950847834 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.11905413137005 6.62476007966993 196.773180852876 81.8833598136367 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.4153422275426 19.9636325209343 1961.56870781056 688.089312849189 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 32.9130335963518 33.6359622743801 5604.64741250188 1914.04001440985 NURBSSource NURBSSource 23 238 8 NormalsMax FunfzigEstimator 0.00385122324782317 0.0415450711767316 4.49865072622615E-06 0.00807485304353396 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.242347142843182 0.784374109389447 0.261119075479854 1.59523949248441 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.678925813066382 1.40634876751239 2.32487320026768 4.480896451337 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.76295690313097 2.52577747560232 16.141974060845 12.8822889831056 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.49522032810214 7.06328767002482 219.177235096859 90.5884708770654 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 11.3172680370648 11.7551790071671 664.971844854125 242.56115155368 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.37324591482588 2.17123652688968 9.86186808495622 9.51614169509883 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.27981649526159 4.05236886209972 56.2991385741139 30.3686000431506 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.21439222758227 7.9230016374923 271.531728816075 109.246111892596 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 23.329547255245 24.0581099048633 2842.10110072861 962.409662731457 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 40.2630409089989 41.0370717085692 8570.97976399057 2874.68666543296 NURBSSource NURBSSource 23 239 9 NormalsMax FunfzigEstimator 0.0135659270793991 0.0117615976019326 9.4262327261876E-05 0.000639945283037512 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.349510467911141 0.307029507919416 0.362276128367244 0.202875124849516 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.700819955552297 0.639309576281717 1.59641917952557 0.756026577420571 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.41642144002038 1.34330414762706 7.11953691829221 2.83967516947683 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.42484931464014 4.33657051084806 75.87747174277 24.3518092305637 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 7.50162551824343 7.39608893861878 222.416875984196 67.4308898274496 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.130220360449 1.11191260587302 4.57113598775478 2.07476599341923 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.31152649235034 2.34536961105223 20.5861943574701 7.95634778253436 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.766280905297 4.9031444786902 91.1309010249657 31.3720363081036 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 14.7820855034138 15.3004284700007 899.254375821385 283.589938345115 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 24.9146876037515 25.8036919770901 2560.80488769008 798.365000007265 NURBSSource NURBSSource 24 240 0 NormalsMax FunfzigEstimator 0.271429256131811 0.0866403008364676 0.270053934689266 0.0270921582438693 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.596151543572495 0.47726923443733 1.08217858429416 0.523892691127497 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.04961844790179 0.969530408277226 3.85732616953818 1.84060055343212 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.0578841354966 2.01941012800709 16.733179394081 6.91087219905227 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.47450395308668 6.47110090268964 178.704043619194 61.45587108857 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 11.0438575106891 11.0316491067454 527.303143125704 172.599117922074 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.67165806051102 1.64726673674049 10.9577259439237 4.86228930459282 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.41144042310338 3.4675923865626 48.9943527793568 19.1100672413808 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.0310649784073 7.19357384274956 214.008831358165 76.1572371159574 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 21.9357284775248 22.3574062036145 2114.43219577424 699.880538950105 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 36.6861450097161 37.3235721931809 5871.20143886211 1943.91746752081 NURBSSource NURBSSource 24 241 1 NormalsMax FunfzigEstimator 0.168907253522977 0.142379869591812 0.115605941004617 0.0629705845093467 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.795363929471625 0.684531466164485 2.71315737845364 1.05987459572775 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.53129059682873 1.421482469354 11.4468269606738 4.15551190868079 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.07460426908686 2.99172811097553 49.3811845440531 16.662474097342 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.53590531326233 9.5219428278927 487.385107617811 152.676217616966 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 16.1223897625036 16.1841417199721 1394.53158139246 431.147821613903 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.56018219540237 2.40946271283777 34.4024305882046 11.475552821009 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.20277741673683 5.05617559682795 146.231740394144 46.3082564693592 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.6380368584587 10.452128666891 615.409108823737 187.859841105502 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 32.8330616073992 32.4886194354725 5909.02607775203 1774.22581149818 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 56.3151835126668 56.0058239389811 17756.5750747169 5732.98044358849 NURBSSource NURBSSource 24 242 2 NormalsMax FunfzigEstimator 0.0669755253709205 0.244336400536746 0.0170358109153434 0.279713392345186 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.375875769198406 0.626142738902757 0.649167972570255 1.11845188387695 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.809273496735904 1.12141148102544 3.24941978447079 3.17771075987046 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.7925003076793 2.12967473665389 16.5763209663737 10.4734643940728 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.07642746723672 6.29234717579711 192.341570557003 81.4600711301627 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 10.4614414779696 10.5847770248038 570.498330913117 223.65214288315 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.42145674883552 1.78609956015089 10.5361234084557 7.3901312794731 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.13245035696327 3.49439601135684 52.0118839385365 26.0057559427337 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.65283605430507 6.99087155616229 231.445505055323 98.1773407943965 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 20.9238045678615 21.3229661770244 2267.43145980975 859.133013061923 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 35.4599830405522 35.7619129421759 6462.55224841255 2359.47964248233 NURBSSource NURBSSource 24 243 3 NormalsMax FunfzigEstimator 0.0713978479726802 0.0346198377697962 0.0209102378910028 0.00364282960070222 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.417871469324535 0.281794241567923 0.637779354228575 0.154393144646191 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.787278722187585 0.634922482250563 2.56430890161442 0.686523120548813 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.54936424808583 1.39928277005248 10.7747754829071 2.95844086095857 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.70498583070364 4.56025239568591 104.159333770937 28.2169622415456 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 7.90135678626547 7.74757949593792 295.946746316863 79.6378705948502 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.27002348964439 1.11923859074981 7.19545068620181 2.04946404366537 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.54195257410454 2.40458698529708 30.2409845806172 8.6155063455806 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.13548100529878 5.01047209855272 125.801681286709 35.5097922405215 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 15.720736265979 15.6222574290616 1193.84056442391 339.46422857269 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 26.7284732271804 26.6984508090407 3475.48302483894 1034.88048060209 NURBSSource NURBSSource 24 244 4 NormalsMax FunfzigEstimator 0.0791928258687998 0.0542312138523792 0.0231658374194785 0.0128075251852863 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.472165177396174 0.33369533662977 0.814888262033202 0.23708063659384 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.896603413226728 0.73223075630918 3.33858820421574 1.01048926672973 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.7674676457073 1.59158913200925 14.1940525592197 4.26817855359549 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.38773252962651 5.17880805952466 139.376684698795 40.248014723234 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.05892811946005 8.7994607565051 397.241573383713 112.786453220209 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.38914807368892 1.25322985245237 8.74470589311304 2.8156692619268 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.80125504573719 2.67537007787478 37.4116027152654 11.7266970326728 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.69986668910236 5.57852832469978 158.13300354471 48.2805420076802 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 17.5997263541013 17.443307413037 1531.26416756506 460.058607832755 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 30.1232585053371 29.8381528041425 4560.35283167062 1388.99367641706 NURBSSource NURBSSource 24 245 5 NormalsMax FunfzigEstimator 0.120066981273558 0.0365801072811529 0.0544333356861407 0.00392533822947503 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.55030321687555 0.309886877567236 1.06165312649979 0.202666874473578 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.00799495251448 0.725611144718179 4.05211298459857 0.967470224408804 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.92613858940223 1.65880154607098 16.5257351762885 4.39551578104609 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.76953368279354 5.59713304063837 159.000262905171 43.7166552669634 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.69561291552745 9.5873287985511 453.562738525854 124.652951474285 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.59186785371871 1.29552066709085 10.9997573493816 2.88010853422426 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.14111271678872 2.86276244137034 45.9499927501936 12.7522173391952 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.33607881203052 6.07878655195696 192.904803960385 55.6290181286981 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.3757721358713 19.1207867201931 1817.51576203554 504.37900446087 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 33.0918719848213 32.8613066594887 5340.70289239577 1575.18023857559 NURBSSource NURBSSource 24 246 6 NormalsMax FunfzigEstimator 0.106986873043163 0.0747103222721394 0.0349549304345196 0.018231944740405 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.545055545838683 0.449807509939203 0.961928588304441 0.461892623201213 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.06723970820372 0.936224000464518 4.16679315012423 1.73988733546528 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.15201205244492 2.00572457268219 18.8490498752586 6.88793887416652 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.72507123910866 6.58375517958386 198.430115763326 63.3549561987543 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 11.3779504792456 11.2286038492217 576.001213610714 177.828408052119 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.74797366110736 1.60301539726168 12.5178848756402 4.5073280025228 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.57689276119359 3.43345667559966 56.0959502124675 18.2954995202529 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.33707474797628 7.21038623979253 242.229236503862 74.2878539044012 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 22.6099612185135 22.518861831759 2343.76995335537 684.029724680924 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 38.1124422213527 38.044212703468 6659.76464286687 1936.90045743565 NURBSSource NURBSSource 24 247 7 NormalsMax FunfzigEstimator 0.0306378980303326 0.182740066399047 0.00326536958071468 0.0792751661036424 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.332439613479149 0.761872870541292 0.557043560020172 1.28278675531133 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.834897365500321 1.35541416323681 3.72758412597937 3.83934592717922 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.98839472780574 2.51962421231434 21.2045179411653 12.4790107162621 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.89004271969096 7.3345334359669 251.228390828974 95.7285856409729 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 11.8517622767488 12.2207429700334 737.306307988137 256.381873284552 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.55442039570114 2.09376539369892 13.0169856214113 9.22521809440183 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.53361002198716 4.03464182200981 66.6549733923727 32.6050680381401 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.57470693463156 8.02673110963744 303.779507951385 123.579894498701 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 23.9807073499637 24.4373452974178 3025.50249968897 1083.64004857097 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 40.5794384199618 41.4240864961763 8544.55403732014 3214.22137041739 NURBSSource NURBSSource 24 248 8 NormalsMax FunfzigEstimator 0.0346848699552376 0.209691389422752 0.00440608145910199 0.163376593082866 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.366241362513869 0.979728970705582 0.7346745525667 2.44934003705157 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.970064424649804 1.72516853895189 5.39734225269941 6.88774181876267 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.37835673874447 3.15576452070679 32.1611338046957 21.488101125234 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.34560244743076 9.05342413121271 386.192896594911 160.783264370314 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.4172996189331 15.1485714028294 1149.34221334845 439.468933643777 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.82869774224891 2.57578805973808 18.4640038248863 14.3255966068126 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.21197001839813 4.89247321106258 96.9616915759505 49.1564377004854 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.12532341990362 9.69853311315401 452.427770609574 186.071012336505 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 29.1797956360287 29.7042961207614 4656.29988129356 1699.08592125888 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 49.807344417583 50.5524549514865 13567.1875964807 4935.64646304332 NURBSSource NURBSSource 24 249 9 NormalsMax FunfzigEstimator 0.0721518252022079 0.0991964461714569 0.0149740361346606 0.0223107846322394 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.42220989174028 0.40720435855865 0.573607997303123 0.302625661072805 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.842092096717344 0.82028340843881 2.521329642906 1.12655760021608 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.71711977985773 1.70334813019174 11.4460464916048 4.33678049297872 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.41584728604704 5.43849294139889 122.253647448601 38.1122806132019 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.18970831125197 9.24294541421114 356.863976587325 106.127559785716 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.35123791788926 1.33538283440788 6.99258262184856 2.84256590295132 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.80148713412219 2.77934111822999 31.9046363029981 11.0264124068036 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.79589205659098 5.75584582194095 140.754788455441 43.5631400937399 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 18.0273904617509 17.8973234547565 1386.06381378575 395.96475604115 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 30.5406389422009 30.299049847364 3990.6471965812 1133.13177386143 NURBSSource NURBSSource 25 250 0 NormalsMax FunfzigEstimator 0.727078760839303 0.220274774213823 1.12399500364746 0.176749590265802 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.0532435759322 0.862876596140953 4.31617946382117 2.9437883951175 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.70589668893173 1.7697187363127 20.3880872857285 103.444768583249 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.24043450107272 3.31720302823683 48.0705224091237 25.998564702247 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 9.9436980239947 10.0938257209948 451.693176527988 196.178439207957 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.0648500846514 16.8240488703803 1587.13294792091 509.291457794546 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.70612310420904 2.61822366032856 76.887647032603 44.3962821757539 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.25095727392615 5.15805535575227 134.712172430016 53.2778906145853 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.7399021149177 10.6212446167505 552.971244353791 259.68075293741 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 33.2844618935017 32.4893101956912 6974.36133348902 3165.77085059222 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 54.4810036299397 51.7214083714007 27001.1712470569 5400.53949067557 NURBSSource NURBSSource 25 251 1 NormalsMax FunfzigEstimator 0.460287842414533 0.432827511764543 1.56159029243048 0.672056087722688 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.54215098752113 1.46039622424118 23.1078601421641 7.79928050080119 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.96378996630087 2.83226237895643 89.1515298737988 29.038106696356 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.99673863830021 5.73984512908673 367.767038146015 118.093295723543 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 18.2314459001419 18.0852612467253 3895.8298330754 2746.50088285862 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 29.7009121371254 31.0564930041333 9098.91834143721 15683.5855237468 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.58179645170753 4.36214373531732 172.281454361196 68.4617125755678 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 9.56002283774867 8.83480876017216 1086.85759049792 260.612601821852 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 18.5802269494541 18.7596267540402 3462.02284811309 4340.80814018881 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 53.2005350782934 56.2518971837748 19159.6410463519 21491.3023823432 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 88.7531868247175 88.5570523437731 75189.6720929139 34343.6682618338 NURBSSource NURBSSource 25 252 2 NormalsMax FunfzigEstimator 0.157183481155584 0.675240310432746 0.105181421704844 1.64628477276697 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.856796929576061 1.23950009467676 9.28681351646297 8.01527827286839 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.77058618864633 2.11093498414896 32.7657609334314 25.2105048370454 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.8347583789349 4.06835788945946 255.197305425304 129.93906589017 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 11.7839169768352 11.5360114858961 2916.69376215724 531.190500529579 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 18.7293445248348 18.8409040133466 2173.04613763455 1083.12658523562 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.81975121488196 3.2263452987054 47.9373922488954 32.0968786877299 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.2360353152491 6.70492030824123 538.111914844932 628.18136019043 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.9819484731675 12.5161065815259 849.318083902438 392.896509509846 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 36.2580600191386 40.0384283686204 7501.71152757999 21055.4728548969 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 60.419000161603 63.8759501800862 20666.5928805818 13471.3891702941 NURBSSource NURBSSource 25 253 3 NormalsMax FunfzigEstimator 0.238458357597368 0.158761934417948 0.310656091056247 0.151592916248773 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.994416050438522 0.937174119259372 6.20316457261659 12.9444768534834 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.93309259462166 1.90864575079513 24.3572099941848 45.6348381131464 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.86894696041663 3.89244660690211 101.613539269746 152.614623857125 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 12.3058559594555 11.7722918916095 1833.74138794442 1069.58685657664 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.3266672154466 20.2455492108985 4247.21128604741 9874.34334517606 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.37957441822811 3.38279300208588 419.302541942176 383.861692223765 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.16939261571603 6.76935350613825 2515.34097600705 877.313356912243 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 13.4220141393441 12.9447795194113 4725.53586226544 1392.05922718743 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 38.786358538658 37.2124658780091 16715.3875325113 5562.12752133256 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 64.015652159351 61.8932016160156 44428.2964563256 17844.7426862678 NURBSSource NURBSSource 25 254 4 NormalsMax FunfzigEstimator 0.256945635687155 0.227209693811834 0.317389366974288 0.345546805387352 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.936545433496964 0.893005727771945 4.58836493601807 2.52975807731858 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.8202558046133 1.78284489245403 18.4389195972464 9.3811623620805 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.68153245053854 3.64929118569087 77.7729921323066 37.012323951471 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 11.4033376741068 11.4084745725407 771.869211212281 408.436805439684 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.4151174886826 20.0345785141429 2435.40425540477 4507.11676867011 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.04582277604578 2.93585784684785 59.2004552594533 26.1675563681295 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.21000810169961 6.09324063368613 260.310900757049 132.239528093661 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 12.3179006574019 12.2246896919157 973.910854895314 476.526273497273 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 36.7945494948068 40.1326874758946 8444.84911644643 73083.3614814776 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 63.4445784562993 63.5639787796312 32973.8201622156 32638.69746023 NURBSSource NURBSSource 25 255 5 NormalsMax FunfzigEstimator 0.388441428906406 0.164590172389739 0.899139266728593 0.221848188141095 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.0499799979194 0.833623722954543 5.64718968637159 2.66218587404231 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.95706627586891 1.76501818456671 20.8483558054726 10.606578520482 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.88202929078854 3.75693916612958 84.4225837317727 44.2894985893057 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 12.0893096058125 11.9669941638036 893.345532281085 409.820633340494 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.2933710293641 20.9831988433942 2719.97717314196 2440.79687680515 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.60555702561534 3.23439843339087 111.329972020919 41.4031307292415 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.14655680420565 6.67839227673537 348.654680781726 140.766320112074 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 15.3407640288493 13.4928297987374 5359.01926784153 520.248193631918 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 44.1787848055884 41.9115101335323 22499.7255541291 10747.6949966066 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 67.4795811360791 67.3552266856065 38450.6447386068 24497.5352803411 NURBSSource NURBSSource 25 256 6 NormalsMax FunfzigEstimator 0.333205514151299 0.212150477080092 0.274146684951981 0.212293510677226 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.890863592667183 0.820133139693801 3.39036295667877 2.41963461506674 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.69743943601299 1.66427781823086 14.306455232583 9.02880917923324 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.46336785167192 3.45431329752669 64.0465029832127 35.7642851443063 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 10.8037810120593 10.5270401706185 841.174855085856 240.428465320347 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.9299587602699 17.7376747492801 2082.77705036449 827.110505432722 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.80720233769808 2.83581083959072 40.930443958923 29.4527472499898 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.76725729126787 5.83557703861672 198.044016029213 103.247883359033 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.6796457849654 11.9222755263041 722.631123826733 473.769188673754 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 33.6502873676868 34.441218183498 6167.54741062125 3143.76781587122 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 55.821655452705 56.2761485939454 16696.8554035412 8363.90165384157 NURBSSource NURBSSource 25 257 7 NormalsMax FunfzigEstimator 0.0974972825699077 0.637693811610819 0.0427407897983147 1.42593721804305 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.882140438651278 1.45641152230454 6.23178791898326 7.3845996457664 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.98475932857223 2.56524258020194 29.5192859847884 24.9995961230663 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 4.35213616408048 4.92999094434918 186.316502503462 127.662088831718 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.6430007965549 14.2450942769955 1366.93428186265 1283.8786696142 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 22.6429746301028 22.752468258719 3602.66445850009 1422.76272724544 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.39265961181747 3.79391101687949 85.0424527231719 52.9915306964951 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.15215770413552 7.38263273195223 399.022646372706 187.155490592754 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.5176841390122 14.9740094139487 1441.00954145934 969.976091210824 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 43.1172414214537 45.334613708578 12665.1899714982 11374.3736648694 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 72.8101225878627 72.2623940402839 55393.3551611682 18962.1077331351 NURBSSource NURBSSource 25 258 8 NormalsMax FunfzigEstimator 0.115318129057942 0.585973465344898 0.0734661573424919 1.46439790057269 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.06236520904789 1.61319359982672 10.9121203825684 10.1882510236778 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.35889277330728 2.92706918793685 47.9130725064867 33.3184975206161 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.10350305613048 5.64481276171056 202.896040462056 121.257137114316 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 15.8953651352328 16.5341707065571 1734.92294182628 957.256657652609 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 26.5370509781694 28.1710810648038 4798.06355225964 3606.18350504 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.05738724436048 4.57569031723577 143.278826174507 70.6627711105508 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.57657206288644 9.86987665225282 614.984271654836 2616.08593416755 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 17.0852725567183 17.492839416889 2029.74905239415 784.423545025935 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 51.8560719156466 52.8503387745849 18039.5779056848 8249.01650017575 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 83.3809618972199 84.8923554593362 47474.9915697967 24433.6263189804 NURBSSource NURBSSource 25 259 9 NormalsMax FunfzigEstimator 0.191591978695379 0.426059499016354 0.104457276826057 0.754020695250472 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.00445139252553 0.996325334138315 73.7987749082021 13.9128432068213 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.79601850867261 1.73645454353447 84.4266621790644 14.5700345026009 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.46621101408139 3.41252293061331 135.982413874188 38.9635677257799 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 10.215737647302 10.3921384890514 618.198086630901 379.684022121344 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 16.8027431797092 17.1050795461276 1453.46293899855 669.241493454466 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.61070114135036 2.72901896343171 38.9254794654645 36.3459596706986 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.32219207440312 5.39858851787901 154.015573409104 86.8009295572322 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 10.6605381759809 10.6349434301217 589.309324693845 241.83527257415 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 31.1341434526253 31.0880554586174 4750.10170468623 2346.01460792447 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.3332361273378 51.507213557581 12729.0429448348 5893.77971977934 NURBSSource NURBSSource 26 260 0 NormalsMax FunfzigEstimator 1.64897421896337 0.48797239361424 1.65568147084575 0.452695507159215 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.75978165416509 0.570424725632563 1.90195071071486 0.532440570096293 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.86480422867465 0.675871684211109 2.54331760740232 0.778269048861062 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.08443956397436 0.901336892802284 4.83136007849094 1.92585554784708 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.01393861586435 1.83968744862947 26.7343627272065 15.6286828070821 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.96919105285597 2.79666535476026 68.6144278038685 43.3911579119058 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.00326298414914 0.812930806192321 3.89582659772956 1.41140942802055 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.37548704580672 1.18723486240047 9.78329464096358 4.73850630833644 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.1447881411374 1.95313045380584 32.0304527228262 18.6562411665326 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.36977036430374 5.14262511427084 255.658443577829 164.837071899719 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 9.71174414799913 8.45972690366571 673.178040547548 436.040980103162 NURBSSource NURBSSource 26 261 1 NormalsMax FunfzigEstimator 0.73403995228229 0.581900490828214 0.435616955812129 1.61192726949548 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.772622905082943 0.636888677199559 0.5374814221998 1.7991889520618 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.82265277723449 0.687858993745894 0.845824172527232 2.13255306850568 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.9265182311037 0.792608352305209 2.04190106595407 3.32789835656439 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.36227846213774 1.23852682638066 13.8321858210599 14.5447808674576 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.84918171335361 1.74075269085414 36.1378249478714 35.3589113854998 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.887985598154674 0.752375175953322 1.52496309491552 2.78145137479648 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.06215845291455 0.927317652901212 4.70911041840134 5.7443758832827 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.41742418334165 1.284720879658 16.3287415707053 16.2119350254354 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.32625277181005 3.20518531854448 139.79652879971 119.076096505243 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 6.69165810285391 6.6385758475456 472.859268158181 370.83203447634 NURBSSource NURBSSource 26 262 2 NormalsMax FunfzigEstimator 0.426826018238839 1.58348330105345 1.09556220904196 14.1202184271663 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.636176483513104 1.97364037791127 1.84221591171412 16.7941703161518 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.933630378412903 2.30996073926542 4.03493335780412 19.4822556664795 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.59529401724932 2.96166274850528 13.334515534976 26.758975898078 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.36088081349575 5.65300856062713 116.659591836963 87.7083613887457 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 7.15975303762068 8.41673220920084 324.163158977409 198.594027285619 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.34613056479334 2.71664744531314 9.2511371501312 23.7705019820761 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.45848374297805 3.79553415105909 34.9574910732811 40.8194038571096 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.7231768717612 6.00976284081674 139.399663645342 100.743551019585 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 14.0661493307224 15.1697162940436 1264.76446186771 667.971329159826 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 23.7883791660637 24.8148632263469 3526.35818291164 1749.80375360398 NURBSSource NURBSSource 26 263 3 NormalsMax FunfzigEstimator 0.112287036370676 0.130038774522431 0.238475127340005 0.228549130077777 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.619910774120846 0.608154183008268 1.33661457354293 0.800140783942886 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.16309089283047 1.15142617563711 5.07933737268784 2.23244980949675 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.2811407253658 2.27719850473357 21.0832950593851 7.77818795571619 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.83106563892536 6.84935638206375 199.983217928488 65.3397239223639 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 11.4237712633645 11.453934215375 563.283542589548 178.917834673454 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.84638441580342 1.82824815071126 13.5898932793812 5.18887961414642 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.67298605875742 3.65244066984018 56.6562388063472 19.3533948837389 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.35516989010379 7.32832965547913 232.846886922965 75.2016173231666 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 22.2380529594685 22.141935009271 2127.13895383904 651.764091815087 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 37.2910473345648 37.0730764706492 5892.45859126981 1774.20481794957 NURBSSource NURBSSource 26 264 4 NormalsMax FunfzigEstimator 0.218273969540781 0.453833597890228 0.352157230480908 2.05074317771071 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.653175144055071 0.864729294640006 1.43609315039431 2.92525867509907 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.11330720829855 1.32702276270881 4.55832597722029 4.52733274093637 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.06893401300414 2.28356973967592 17.4208433742089 10.0263234344437 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.98058762710021 6.18543792556573 158.545100739997 62.3954368923126 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.94016202338713 10.1254562593292 443.56861161941 162.567845253498 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.70383751455524 1.93473868674085 11.6624655484735 7.77191906751955 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.27888505294897 3.52480526957174 46.564694502626 21.8535584488059 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.47578300004964 6.74618223425537 188.610178816113 74.9750098340614 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.4323173012924 19.7966161837501 1708.25165197237 610.388514639328 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 32.4926414546317 32.9855436335324 4693.87565771762 1642.09769645536 NURBSSource NURBSSource 26 265 5 NormalsMax FunfzigEstimator 0.469796252398476 0.209090756056841 0.820059527924203 0.214315316162714 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.30349117215657 0.88498101227279 4.98604167028625 1.43774989391743 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.0999643269232 1.70690650028365 17.3292560480243 5.69496818229608 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.75155971990527 3.3910312467256 67.2940074403174 23.5498497139363 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 10.5150830066184 10.2390105435649 602.5402796213 215.318870867874 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.2627598036993 17.0460711622567 1647.48820011463 585.14857638634 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.16014585991847 2.78615626438908 46.0932669272432 16.1269379539112 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 5.92586996563782 5.58475599232196 183.416335167593 65.9805147875016 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.4878672388119 11.1957812777712 726.973259520519 261.188864430378 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 32.6190068808394 32.6015881580468 5845.92756482533 2035.06690856023 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.3475034154048 51.3838189969478 13998.5645847498 4719.96347404174 NURBSSource NURBSSource 26 266 6 NormalsMax FunfzigEstimator 1.01352300186506 0.628465690564627 0.389533665347857 1.58079212456813 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.01352300186506 0.628465690564627 0.389533665347857 1.58079212456813 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.01350869595412 0.628500755606396 0.38958852411908 1.58100172288177 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.01350869595412 0.628500755606396 0.38958852411908 1.58100172288177 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.01353853336592 0.628443626863204 0.389534744740632 1.58067471731867 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.01350879848475 0.628507942753301 0.389633742766874 1.58105525771582 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.01352015378828 0.62850063013066 0.389563236762411 1.58100107876292 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.01353427967674 0.628467972633184 0.389507805908581 1.58080860316662 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.01350660389062 0.628505487150546 0.389465155363581 1.58103506306641 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.03719719648608 0.659388284892766 0.757331368977045 1.9434589007097 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.52319704014531 1.18774494333922 15.8043305822203 15.4695493988621 NURBSSource NURBSSource 26 267 7 NormalsMax FunfzigEstimator 0.35162650072398 1.41051105766756 0.63162559690014 10.2992804221262 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.524586191416669 1.68921520129909 1.12469749404051 11.9563939868291 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.764301802619268 1.94207601063725 2.53677092563186 13.6744509282524 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.28679703461665 2.45592671131109 8.36030556856647 18.5087026359814 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.44891362372928 4.59546362349723 71.2959243541044 58.5705930315402 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.64052080659187 6.76799203891453 197.215045042372 130.527418007189 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.10904127138973 2.26743919969119 5.9743747211695 16.5575431039531 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.001806556936 3.1326545261609 22.3138885118385 27.939736577343 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.81924014983868 4.90214328335562 88.2309118863222 67.6584691080524 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.2095870002555 12.1353832594958 780.86634594752 439.880803778588 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 18.7722871024577 19.5220924871131 2131.72584491831 1121.7884399173 NURBSSource NURBSSource 26 268 8 NormalsMax FunfzigEstimator 0.175088398825717 1.67516922136534 0.113091419700752 14.4979884732393 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.303936793173014 1.85760773833085 0.315447162938718 15.7088085968858 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.471915524288865 2.02883469967767 1.05095442248136 16.9829012203644 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.835919975310954 2.38305253203701 4.37513697209592 20.6359932058969 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.34870101119443 3.86675678270174 42.5945255892197 50.9142874222792 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.87975780618506 5.38085975746 119.179279480186 104.726082698658 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.683201803941689 2.2403245719851 2.73536819218416 18.9971317104326 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.2739573546633 2.82263323306309 11.5983941129764 27.1200513276599 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.48006339675385 4.02154915001239 48.1453604596639 55.1658878713439 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.5302172722426 9.01538583112481 442.401654158591 312.116618034834 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.1662514355389 14.582305389218 1264.54938888864 799.214979867105 NURBSSource NURBSSource 26 269 9 NormalsMax FunfzigEstimator 0.422849550229047 1.34954344543098 0.469034637644105 8.64197142138468 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.473454916430611 1.41031344438258 0.608827319587671 8.94744294330848 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.534551914527975 1.47027014977359 0.944422733592447 9.36560528080072 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.659499882593622 1.59213284378433 2.1646511773932 10.6679743208953 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.17434958361745 2.09708398452294 13.9858498838742 21.8065215917753 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.72503761031649 2.64170002526652 36.1814385080243 41.8977423570949 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.619009907036366 1.54768545794689 1.68161893164237 10.1347644889156 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.831516370429962 1.75223203565721 4.89876629627697 13.2773982019732 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.27295408389436 2.17739048426947 17.0112805285672 24.2791436477834 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.28591753973628 4.12799850816542 135.235419115085 122.197101520998 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 6.27391182172093 7.04694449843039 396.127235978171 315.579750263426 NURBSSource NURBSSource 27 270 0 NormalsMax FunfzigEstimator 1.82033058106496 0.538076190421411 1.38555200544727 0.547260113633591 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.84239141495289 0.556368480661969 1.42381690902449 0.565700336469342 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.86443752005128 0.578223970038618 1.52638261340915 0.607677992080991 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.90978149181314 0.626603533263644 1.87476305651355 0.799134817547427 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.1017335174417 0.832631332359721 4.86778933606928 2.99958990642741 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.30189792742788 1.04654062884614 10.0727223714241 7.23707339091215 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.89376134326072 0.609236232440406 1.74254434373848 0.72005237138836 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.97228444808749 0.69381279438682 2.62487212519723 1.30694745608719 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.13737933361592 0.871901308106314 5.73968540504078 3.75381347484183 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.87590773583257 1.64823747606124 33.3078123965309 27.6373409303622 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.80414017286033 2.60888281831725 86.1015463098421 73.6271759520662 NURBSSource NURBSSource 27 271 1 NormalsMax FunfzigEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.773641155643459 0.543241688164962 0.374666295918411 1.29288468386954 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.773548018013873 0.543239757149256 0.374447007877203 1.29285754718187 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.773641176625857 0.543282592654225 0.374683213559113 1.29314448882131 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.773735305430399 0.543330101033284 0.374979126893679 1.29346890841839 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.773738551166418 0.543270576700321 0.374935027690733 1.29308932699467 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.816792137784391 0.587151379375274 1.06203919040961 2.06422040539533 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.33601616955524 1.11099652082519 19.5271952900892 19.9546881994032 NURBSSource NURBSSource 27 272 2 NormalsMax FunfzigEstimator 0.465737067752781 1.77666167898195 1.21611691605596 16.95663627529 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.609883404908069 2.03704291319183 1.67037232127534 18.8717138246993 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.806637887268473 2.2799736979161 2.79519689195249 20.8120481402901 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.25939439720181 2.7434362367531 7.42871383021053 25.4070909923591 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.18406403477148 4.63788389661358 57.9975028211636 59.6464237825457 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.13918995117063 6.57583652067765 159.156406934541 119.503022590308 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.08468866973695 2.56743094832545 5.3394488164446 23.5614263949786 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.85500147668658 3.32940156039564 17.8960019199067 33.6047212439954 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.44042494178419 4.90186062065118 68.8974400496181 67.2691796361117 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.88837617845628 11.3540117374458 609.44126634253 375.13102130092 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.5773242899851 18.0379902559396 1693.58413605642 953.851102441382 NURBSSource NURBSSource 27 273 3 NormalsMax FunfzigEstimator 0.123406037598963 0.158302965463719 0.177733578330558 0.229114739581616 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.777797928112572 0.676153839127715 2.11940581270029 0.857070619166265 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.40936366832569 1.31453792624905 8.11504070670688 2.80862325122516 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.7103691252067 2.62291546336429 32.8963917489663 10.7940843923349 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.99466373329207 7.90856400157832 302.870365875456 96.3413872857093 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 13.3033009956925 13.1910192974273 843.574147337027 265.263976497553 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.22181595224414 2.13163292209558 21.6741814298325 7.23156359413735 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.36271035128089 4.27457070487113 88.2803855389367 28.634708346154 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.68228923341443 8.58369436487963 357.651702367809 114.057098735934 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 26.0326147090908 25.8546570796997 3201.37685495274 997.290846763002 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 43.1114547307785 42.8435019087797 8624.99030164458 2669.12140539277 NURBSSource NURBSSource 27 274 4 NormalsMax FunfzigEstimator 0.25701406342461 0.479445978751387 0.317512902088769 1.90949119761511 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.784562734785547 0.889525894226664 1.99461771725479 2.81903202388398 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.28751005711425 1.39296790685951 6.63083110121968 4.99171027414501 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.32506300872647 2.43234928201463 25.2420483276572 13.1358901364085 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.56487185996519 6.65574250571678 224.260339123841 95.3158823198037 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 10.8420437349307 10.8879859736833 618.896102800747 252.011257757986 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.93271180400415 2.04884134647481 17.0687294437787 9.68786906431875 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.64329379285792 3.76368500819966 67.1344712117036 31.0998357845275 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.10198893408311 7.22614415069756 267.246793496228 113.864235343567 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 20.8879569178192 20.9571720074176 2301.82319843633 915.134511369469 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 34.2135084766984 34.3136513425568 5943.65966279437 2300.48764695818 NURBSSource NURBSSource 27 275 5 NormalsMax FunfzigEstimator 0.662952929098183 0.225380094743888 0.752196709830605 0.180043628168589 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.06581876468283 0.548579439544223 1.99495130903585 0.600013968098001 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.4581591976947 0.948800581637573 5.48356219198169 2.00489130936966 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.27020447463859 1.78317527196268 19.1104553598147 7.96417806344869 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.56068753480949 5.15273544757613 156.674118292738 69.5877231549981 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 8.82864073224628 8.45920398067366 411.684681373802 180.301884127022 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.98147333921169 1.488300957815 13.3444174835898 5.44594255227776 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.34374206924567 2.8771981019749 49.9354919654447 21.72645303136 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.04120838400512 5.63225059331975 187.003703358896 82.9457004417867 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 16.7621572234281 16.5231250222891 1461.74667615304 627.424068951998 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 27.735398339171 27.5576501265205 3776.38197520861 1561.19505455993 NURBSSource NURBSSource 27 276 6 NormalsMax FunfzigEstimator 1.00733445830179 0.628597733555173 0.308226072866703 1.61163457974279 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.00734572841514 0.628606327731225 0.308222362441557 1.61167762868733 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.00734572841514 0.628606327731225 0.308222362441557 1.61167762868733 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.00737211966477 0.628619683179 0.308219159564808 1.61174392707502 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.00737288388914 0.628675834695844 0.308206207113598 1.61205889224143 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.00733098119072 0.628689464659335 0.308238476972791 1.6121514703382 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.00734572841514 0.628606327731225 0.308222362441557 1.61167762868733 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.00737852774976 0.62857646830019 0.308224110623114 1.61149533173709 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.00741757970132 0.628529448290125 0.308202961651583 1.61120912656386 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 1.00751395637075 0.628445947152661 0.308200974585011 1.61072081584376 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.00913370825861 0.629423365253833 0.348729578117256 1.63775451463314 NURBSSource NURBSSource 27 277 7 NormalsMax FunfzigEstimator 0.359489827258753 1.49324012144248 0.641188981242487 10.8860210911266 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.483316498454048 1.72157018680999 1.01363703217167 12.3169269211331 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.674481837143989 1.91702112436872 2.17514747559467 13.7491693582051 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.08581431762528 2.31496813269013 6.90357268612747 17.9737551013692 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.78478523238233 3.97845785784506 57.2005263288695 53.7161311528417 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.52565638112039 5.68555231638594 156.227462529366 117.076708840812 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.936888133507809 2.16299989292096 4.87394025284362 16.2048001677941 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.6245878871833 2.8283612837567 17.6546828692982 26.2066568493309 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.03484001097312 4.20084019143018 68.467908481283 61.2315574071475 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.96470015831532 10.0179518690313 604.354222666323 388.315961186013 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 15.358312878112 16.3137364716058 1672.94382989507 990.45903965924 NURBSSource NURBSSource 27 278 8 NormalsMax FunfzigEstimator 0.147855117770673 1.72937303003955 0.0691704495643256 14.5816675887534 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.261297841411495 1.92829888770518 0.301936193885282 15.9815874714778 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.429860464101655 2.09219414337257 1.27230465622021 17.4384698223123 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.781749499635303 2.43026042484695 5.59403461422689 22.0353166264302 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.21624072112203 3.83809508081026 53.8832410265933 62.3143647135378 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.67762854375608 5.27515424500118 150.373458993598 135.267921759806 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.652415137325574 2.31149448969883 3.70230063708422 20.2292658916186 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.23484484464073 2.88214959781091 15.8696640428071 31.5631667638822 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.42121231809268 4.04851633213266 65.5338217849382 72.2094181348239 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.34124444554086 8.91283208065564 576.70365156555 445.538901272961 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.7644069432761 14.2262577303377 1591.58730033151 1121.2857405955 NURBSSource NURBSSource 27 279 9 NormalsMax FunfzigEstimator 0.426914960522167 1.38252191773026 0.457927897344003 8.7242141292448 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.428377642287372 1.38352477791182 0.461363262077203 8.72907097569091 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.430475516994211 1.38438639809947 0.46952980501979 8.73274909931352 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.434829231057985 1.38671694960083 0.495953037365003 8.75058301906398 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.460199966256093 1.40595855230722 0.740500369031305 8.96282484475919 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 0.508725763262466 1.44421858933587 1.37315454889492 9.5247083477707 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.433183516656698 1.38689057229432 0.483085387538185 8.7519525862704 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.441701143860768 1.39258513176654 0.54835932454393 8.81291392511757 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.466690216495947 1.40992644556307 0.799824694039453 9.03501668148799 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 0.723972423411808 1.64302382590672 6.24858895169496 14.3298676530389 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 1.33193276865027 2.22578761416084 28.5196151627678 35.011983552964 NURBSSource NURBSSource 28 280 0 NormalsMax FunfzigEstimator 1.77809033678815 0.49086418888255 1.43915252607409 0.446562689724459 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.7596774317465 0.547758186091384 1.50751692534905 0.508457194803269 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.75747962953098 0.610963106079913 1.65887537246094 0.614692980469164 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.82609779091305 0.747424286150029 2.194951980384 0.984537538456695 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.37734243632432 1.34012457319196 7.85242152137105 4.85315504283004 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.98911858152761 1.95790691707149 19.3169144785583 12.750214079224 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.79415790238844 0.696006505391637 1.97770694075953 0.833808389673611 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.98268599642636 0.931595318355844 3.42568412280263 1.85377226668947 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.46177253562675 1.42809645272706 9.2616836324891 5.95302174279545 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 4.53328094134112 3.5037888135017 74.0844042215869 51.3277871327301 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 6.72833755035476 5.72303772084725 210.197772122165 146.817654234949 NURBSSource NURBSSource 28 281 1 NormalsMax FunfzigEstimator 0.688419833542554 0.471295246949243 0.394751727188374 1.01800532956506 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.719798385470226 0.509580011532583 0.501288056779111 1.10841096328983 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.785057918603737 0.589510720040187 0.806385085820935 1.36058204752243 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.973095926540155 0.796665895960296 2.07176255322621 2.40721180950407 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.88451452602934 1.71525297177937 16.5872613383077 12.9858398897394 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.83315641057103 2.65074688227009 46.3931205935497 33.5385736439413 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.898677031482817 0.714721318195333 1.50548493465229 1.9134968137136 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.24833214157429 1.07566607838231 5.00164085157121 4.52823719957432 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.00668855329901 1.83281528541121 19.6428299907068 14.7064761012879 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 5.26026691129898 5.0931931053201 186.294843191559 125.665259818682 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 9.27867678127229 9.12941261660281 587.63850676555 381.995991827189 NURBSSource NURBSSource 28 282 2 NormalsMax FunfzigEstimator 0.460008874161816 1.85205434774393 1.17487632119512 17.6003167535669 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.639704445907586 1.95730953640616 1.78039242770038 18.1803866574958 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.874707346796118 2.12977096235365 3.14120766722938 19.3237890625961 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.39170424048612 2.55825535358359 8.33856428896268 23.0636858363498 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.55488174670682 4.63240994249064 62.4913250167427 55.7282090300746 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.75064115744684 6.81741296539731 171.018290238096 114.375062249045 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.20469152774713 2.3819964586054 6.15202520818098 21.4270304268277 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.08644338289343 3.16449927063288 20.1800717366313 30.4907635203834 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.88313850545595 4.88020922001022 75.750957473522 62.1654613989256 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.1795490661727 12.0736223296164 670.043051853533 364.062858122042 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 18.6861841268097 19.491104075128 1876.8739186761 951.779145511918 NURBSSource NURBSSource 28 283 3 NormalsMax FunfzigEstimator 0.229465599998713 0.16337895315617 0.153726086344324 0.178784582116214 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.654204757028862 0.594924954420208 1.39883614174568 0.683543902963414 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.20083909654994 1.18036117201281 5.7061787276291 2.2367409937435 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.40308663563327 2.40347742113447 24.69937666606 8.52915745593388 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.37845744189927 7.38216813743359 241.057291578175 76.2565779613934 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.3913739844899 12.3776260096693 684.14856139354 212.535206445707 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.95633965097071 1.96701006612438 16.2699080502891 5.83397863217408 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.97073577841923 4.00422744833928 69.5115214085398 23.0157060612188 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.05028623282407 8.10924720194813 289.276845428003 92.3625489248336 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.3872771843663 24.4858818080452 2662.11557859108 836.198120571665 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 40.7295757202821 40.8437011577387 7376.97933190437 2346.81662225093 NURBSSource NURBSSource 28 284 4 NormalsMax FunfzigEstimator 0.337365160111604 0.446350695584721 0.277806119876245 1.69478235125838 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.621723017389938 0.787918448815604 1.13876834858525 2.35865503354797 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.03522909938443 1.23241809790019 3.94604292655496 3.86402703928996 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.97187574540985 2.18528137605398 16.2483791525823 9.34097306376025 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.94888221538105 6.16663288083769 158.220589559425 64.1022781197287 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.95423229395159 10.1789492029403 447.42773207104 170.898845085455 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.59016855342804 1.80274867398028 10.3991174128438 6.82800859993935 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.15809678918036 3.37606444639892 43.8842674060466 20.562613613889 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.37511561661433 6.57812656838854 183.858771299801 73.4500569272381 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.3167342085674 19.4856305901075 1704.58013346203 626.52703372964 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 32.5072899564771 32.5515354108611 4780.35272452886 1746.55453658692 NURBSSource NURBSSource 28 285 5 NormalsMax FunfzigEstimator 0.689465197780116 0.173991164162359 0.515775973421991 0.122661777879115 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.818034826806618 0.49098830453651 1.03785398902498 0.464524320082748 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.08588380871889 0.903581328061025 2.85101031862288 1.42472424350188 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.81810886944622 1.78088304500945 11.3268055797909 5.31809151132387 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.30144941045997 5.37319802974592 118.019038322894 47.4775084721291 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 8.9216144676473 8.99752007766096 343.4525299472 132.765103881569 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.53460028877771 1.44449646130214 7.52171792190543 3.59015248553201 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.88188484586013 2.89582804784878 32.6241740901952 14.1448156675869 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 5.77965537698919 5.82475468064686 142.272173139137 56.6869061782246 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 17.6701462893442 17.6752241298338 1381.94273095016 519.182003385738 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 29.9267524748687 29.8117965747604 3943.5969873274 1472.66088031932 NURBSSource NURBSSource 28 286 6 NormalsMax FunfzigEstimator 0.974697285241163 0.605840836751924 0.297954852344252 1.55187683076381 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.963703906952136 0.630187245463648 0.306525044314812 1.60789408263223 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.954395501855639 0.661829986252888 0.340597666540587 1.69550237079388 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.96831303521816 0.7315819243837 0.491966332946054 1.9552990654707 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.20301872521566 1.02328009394592 2.32740532517022 4.01892402452042 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.48961333628194 1.3217044816874 6.19566506901491 7.74806924317591 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.958368215716518 0.710494914861187 0.42857844958898 1.87092884592312 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.03045374221395 0.834357722311016 0.883354536254346 2.51361176522507 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.25020346296029 1.08540626298667 2.84730942651094 4.68325445958006 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.27228793583277 2.13366662765792 26.0810152854717 25.7419150324276 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.48658560159457 3.34861353897584 81.3725583084139 71.8728281791029 NURBSSource NURBSSource 28 287 7 NormalsMax FunfzigEstimator 0.33723666939083 1.53318881893649 0.564046424987762 11.1227291743077 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.539968891013945 1.574813862066 1.19737970590986 11.0354034377186 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.804190563082926 1.70677651870915 2.75937920995261 11.6631902204666 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.35304823042667 2.12818319343464 8.61539404377896 15.0558665182842 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.58245339814895 4.26265755663691 68.6152382265996 48.8087189173408 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.83285012947396 6.48576547192503 187.379207677964 111.181679355749 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.14589585459027 1.95584692752896 6.02229769662749 13.5332321628446 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.04485899271562 2.75903565779683 21.1261608095131 22.4552165257466 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.87039796815102 4.53153680516381 80.8024510033307 55.4377565591098 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 11.2638159363692 11.8787099122221 717.519630449847 381.501612392066 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 19.0830048978738 19.7408135644731 2033.67289708297 1043.5860194453 NURBSSource NURBSSource 28 288 8 NormalsMax FunfzigEstimator 0.128448960869418 1.69334298223812 0.0567003993963075 13.992295236578 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.288441305892042 1.7885477994082 0.344802889155968 14.4066425232152 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.516049488032741 1.9297615440494 1.42672358454501 15.2630444732866 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.99716606915402 2.3115191490124 6.20218271830332 18.9629049375174 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.97464910229959 4.15129361939614 60.670192007093 54.5096145198864 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.96007718522285 6.07979623072645 171.060221947059 120.20969177049 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.814072635166096 2.15430786509634 4.0260864928471 17.3251733004923 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.60616195127235 2.86024760726197 17.188732186176 26.9359020787361 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.19601559239601 4.40184914434508 70.9910492685159 62.3237396961265 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.76486525042291 10.9430791599856 667.589059928825 420.733934875593 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 16.7740861426449 17.8916037725338 1903.35125163256 1123.36555227724 NURBSSource NURBSSource 28 289 9 NormalsMax FunfzigEstimator 0.362958638225253 1.30209070765579 0.334678140728361 7.92638854126343 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.431831638863777 1.28651555763661 0.493788040183813 7.72515814015373 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.526247566862931 1.31180324251842 0.816687028071841 7.74169944448276 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.729644078204599 1.44714455117578 1.87648711830438 8.43740055179888 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.58066419639022 2.24018917291768 11.6903605433833 15.9149778654796 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 2.45131236041226 3.10115668797131 30.6399339985769 29.3568098057412 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.659579496293839 1.39279705445233 1.46788783708147 8.12398002342466 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.01113244051283 1.68535595372736 4.2094191318676 10.1686974791613 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.72887593789259 2.37223423452504 14.4745363085096 17.6445157402584 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 4.68349039297825 5.30677333865575 122.079467859155 88.948301634805 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 7.99992263596372 8.63321055241848 358.891626535033 240.782294934534 NURBSSource NURBSSource 29 290 0 NormalsMax FunfzigEstimator 1.66118467724921 0.453194494710974 1.50962798194615 0.404453758240991 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.64510542150999 0.61811331208946 1.91720794258858 0.801648590211936 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.73058786979207 0.825385834130136 3.0319112550099 1.84841188193296 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.05945791388408 1.2635212098875 7.71446759958526 5.42441678425087 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.78577189175656 3.08077283438856 56.4167127254353 36.8848376224217 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 5.54542068670447 4.84610093496868 142.266165391338 91.0086993075249 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.91843882989974 1.10427976041408 5.63330256007807 3.78329667386156 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.57303144902555 1.85443964006467 19.1539205560454 14.2286295871823 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.03178209216653 3.35985597329788 73.354672024865 48.1344404820553 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 9.62708305429185 9.03293148655102 483.361435503354 309.788677563227 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.9677511165418 14.3393569102634 1214.68629525216 738.225328996289 NURBSSource NURBSSource 29 291 1 NormalsMax FunfzigEstimator 0.57664637944456 0.521084496030493 0.441189799690235 1.44797046113529 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.860231337688486 0.783396821521806 4.6812295127726 3.94424039326446 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.2880135247801 1.20038017242056 17.1619872200174 10.3383089982877 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.15987308397596 2.06864701467812 35.1264439189864 21.785812332243 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.77801128856463 5.7061727620617 246.468561971197 152.544504902111 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.14455806021944 9.09582731537697 617.522877651341 375.14572069619 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.80917929221129 1.76973423028726 21.4077891146435 17.1140613393597 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.33667349995558 3.27816677995442 80.0415118038115 53.1148594163376 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.26540411053498 6.19986072917054 271.98177024706 166.257532008159 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 16.7364398443201 16.6979106947415 1829.09239146399 1034.10027182911 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 25.9945876842801 25.9847406462218 4356.90781076753 2468.31343728252 NURBSSource NURBSSource 29 292 2 NormalsMax FunfzigEstimator 0.435294263497184 1.82597272496576 1.04541769433233 16.700654602793 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.810821260959855 1.90253003649855 3.60761462551404 17.1441202384273 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.26746293555422 2.1649251132824 9.89174942283611 20.5157765606367 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.20795725263022 2.9073981771524 32.1304289079453 33.8781204733567 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 5.91784049366632 6.36886495091234 227.946827472054 132.298782006281 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 9.40231663479395 9.79948507254766 521.712984800763 328.239127083349 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.81656841580144 2.58658628700943 19.8661057674403 26.1727051786187 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.3271603922981 3.92588443309051 85.7787767797122 55.817679963855 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.23474284009623 6.79587287042662 231.072806432495 172.201932301379 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 17.3907670690271 17.670810216827 1790.66083317317 847.870472688582 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 27.4729649349622 27.9953839583692 4158.15381588667 2222.62550425615 NURBSSource NURBSSource 29 293 3 NormalsMax FunfzigEstimator 0.321759768304994 0.214265543139635 0.2218299948835 0.244916532314884 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.806397327055587 0.782982680516465 3.95480911128286 2.14584057122611 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.50802877101216 1.51735283231203 14.4887773010154 7.60391422745903 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.99706503329748 3.01962233761894 51.3314134765604 23.7060895467016 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.94400968186925 8.96788820348359 420.067210526127 184.186570106232 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.7407793192046 14.7453954408486 1111.64210226115 477.070632090746 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.47025291143319 2.4959916348428 36.5506776742056 19.7948099313411 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.92429198860659 4.97860136237566 136.837640271699 73.3415527725085 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 9.74789422946339 9.85003580935197 507.365722390567 264.624856678871 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 27.9606179554515 27.8950017724176 3925.63756743399 1581.37983072136 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 44.7536459829057 44.6567333691086 9677.4508665017 4089.07669390713 NURBSSource NURBSSource 29 294 4 NormalsMax FunfzigEstimator 0.411476552845143 0.495720249365506 0.381307847693295 1.96679157415527 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.813651364690138 0.964389759685255 3.09378986325983 3.85699983978638 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.42492493151472 1.57421528604171 11.2516102790346 9.00611614896734 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.73562164155874 2.86718058951994 42.7622155641407 26.9992486122104 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.02963886934879 8.17599894747956 354.036527717853 213.711257546107 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 13.0721239633792 13.1291220992381 932.211650515423 412.612132147928 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.25734439416669 2.40935713261697 29.8300559386131 20.4016970281809 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.44297340004263 4.5894801999811 115.226478967386 68.0212016604566 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.73534576957137 8.87544445545285 436.627799828188 232.388133066818 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.2556844530266 24.4077399746991 3012.54419242559 1450.61000786162 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 38.4834489024295 38.8149373605881 7268.01431086468 3482.69804547571 NURBSSource NURBSSource 29 295 5 NormalsMax FunfzigEstimator 0.70810047096271 0.232342327585363 0.55756571076855 0.209599513229513 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.979391607630017 0.722825187348728 3.26829466551451 3.04666277545705 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.46969171624392 1.34914426502487 10.108270616004 10.4349468995417 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.63081361499395 2.61020203665899 36.7766481194698 23.5371411487914 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.58048422571397 7.66519292440958 312.617347337972 227.908852796588 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.3629565859037 12.3370882283665 813.203379477782 389.598000077359 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.15536189140365 2.12434298122843 24.7087472511105 15.4977519580962 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.17805847496191 4.23466896665503 103.818024712742 64.1132798081399 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.20971073461519 8.2545746098157 396.541486900642 192.994543607137 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 23.0294510917135 23.2402820053827 2796.47688294132 1367.50543066452 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 36.7908036667275 36.7857489945342 6909.60992608433 3218.14667503374 NURBSSource NURBSSource 29 296 6 NormalsMax FunfzigEstimator 0.849557071403633 0.533607569481306 0.379959225383707 1.24438529996231 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.895329940329851 0.654280294250714 0.807978443081285 1.65026848047971 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.02198368113114 0.840928260209303 2.16931695463516 2.749734095169 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.39915346251972 1.27479485235309 7.56747661315848 6.95548482723598 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 3.17924242018317 3.10700581415836 53.6553630231803 41.4320171834261 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.96587799061776 4.89892164743457 141.350749433044 102.620998385642 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.24078966740425 1.10373142239801 4.78516654732181 4.95445031550357 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.91761287677938 1.83313214937768 16.7465437044065 14.5255975542528 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 3.37266040362462 3.32694139523369 64.8536953341098 49.7982908449664 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.97544336195038 8.99450760890485 486.563625710016 325.993322470872 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 14.0998869593736 14.0433301121819 1169.70832211555 726.323825329969 NURBSSource NURBSSource 29 297 7 NormalsMax FunfzigEstimator 0.296805302263791 1.5465881899507 0.441288144933128 11.1463418976873 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.762835553878025 1.6214111080152 5.38885632891098 12.2683383065965 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.29038572813765 1.92353515759512 13.2368201691835 17.6266338389091 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.34219546610038 2.76350666630197 40.3027048685354 32.3619005268787 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.40202870303687 6.6699873327201 260.505618275596 153.696939934142 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 10.2546532491458 10.6184205297159 625.315422208836 440.831667141001 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.92156782288304 2.40844682711588 24.2750086245526 25.5355239768064 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.61483827934111 3.93941619278738 87.0240303228479 64.0157631264185 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.90049200957288 7.14441327861427 299.810484475603 185.919746112491 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 19.0287621769262 19.2732596409021 2123.01000319883 1107.2464581227 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 30.2447959213075 30.4718426434716 5239.07609155141 2585.10275084264 NURBSSource NURBSSource 29 298 8 NormalsMax FunfzigEstimator 0.171583818951664 1.60476127769111 0.10952956923239 12.7900219415296 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.592539896741468 1.75124502184449 3.31795652271715 14.7143962784699 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.10981514710054 2.08356373268902 10.7793280970529 20.8582260921923 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.18426812395933 2.94167676246063 48.6711576899471 41.8726803043672 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 6.25291026874717 6.75732470883576 307.094126505058 185.916408640197 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 10.051186986611 10.6172855306653 759.371231330718 540.823646775149 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.77013057973478 2.57416236671993 30.8794543800661 28.6624596303867 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.49110283176005 4.11007135384569 101.979135653808 76.7634078047848 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 6.80904081689272 7.25098063862704 361.298070463021 216.680620303322 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 18.6105330640184 18.9742267765291 2366.0727445359 1327.92375583962 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 29.0521784773191 29.16239566785 5654.10083515777 2928.22619786503 NURBSSource NURBSSource 29 299 9 NormalsMax FunfzigEstimator 0.33225040132768 1.16900077436962 0.318446821316163 6.59273562867096 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.590455436643989 1.21002053616953 1.42485889203625 6.67784678967081 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.917537494071939 1.37337590194714 4.31643534156303 8.15421991756173 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.59211229062021 1.86526313775679 15.1795187811484 14.9510693482649 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 4.24697838566907 4.29660569280183 101.915214526781 62.4755657931455 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 6.87173031261489 6.91066413632479 264.510151864563 161.163188948241 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.34967928388341 1.68052591627142 10.9488294930894 11.7699747606193 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 2.44803908908466 2.62243243762261 36.069491174021 26.64721653218 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 4.60686537042936 4.66736380354309 122.304761967503 74.7250184190747 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 12.8347692283596 12.8465926354041 871.968868423462 488.870504480942 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 20.1474957199798 20.1268211004382 1999.33894741692 1090.53451683294 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax FunfzigEstimator 14.603978650295 15.2144161716327 66141.3244313859 54095.2498254849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 45.9378467779969 70.1089401899581 3720578.26124541 6427309.30354364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 137.653660350936 93.6017865883475 31801268.71312 16093636.6531355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 127.109698989345 112.402928264965 39983119.0993351 15079195.0391503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 139.047739211052 183.885199770047 7112914.62030665 14344411.4126771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 117.716090702861 134.278772991496 3997384.52423682 6284511.32618594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 94.1102605715078 102.823020437867 6849903.53789535 5963568.07081603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 111.75512041753 134.129694411321 15687188.4073986 15661874.4199808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 199.272059268027 249.59342624904 88203912.6253521 50655107.9133619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 246.302608006252 165.344205245892 72234882.28912 13267971.7258912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 114.985063160376 262.719059790385 2297163.4345202 43692619.6483934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax FunfzigEstimator 79.3888632350216 100.096006285169 1356229.38907321 4501785.85104186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 234.262420976428 150.239303176709 45755115.6308758 17928818.5275988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 178.939883921808 256.29366445067 17441990.1858953 32018574.646024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 203.093125545043 226.28874198639 18852168.8726562 17072553.3853974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 280.79166253572 306.140420130763 32208450.7285692 71655553.9318803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 245.423864077256 395.708725449341 12029950.2322346 86155260.1969377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 332.61834920778 305.674832498613 80449429.2545831 77668084.3160375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 369.212010602008 272.739030650752 144571641.024762 31314698.8511412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 331.695888581135 382.541475248098 58296876.4550317 49796335.0719235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 370.60520607607 243.006495973197 48772290.2162553 10566291.1489568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 377.666031078307 313.56652127638 102487066.749016 58993428.8191115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax FunfzigEstimator 41.7127400461586 42.6203136091006 781269.765474298 679750.142281205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 83.7746812368241 108.261068782302 4415142.05349512 6308292.29950204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 151.884956758795 191.260796554678 13327994.2894291 28157881.1721424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 228.215421112207 160.162945546865 26257565.1352766 8385646.34467096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 222.319769980335 340.014420225571 25775213.4512755 171672146.772849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 244.181268164751 213.471102317866 18958441.0598315 79059454.6435536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 229.380783405817 269.753743003812 17669076.5622335 69496631.9175743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 405.057903922529 315.967026368251 92566740.8657542 31943318.4875569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 227.209239313261 298.570656696976 12137615.2689571 31494765.4662693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 171.860366803372 205.667215326002 4999607.84580641 20375934.6466429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 205.739106388311 191.935997880176 6338140.21422184 33098799.2266801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax FunfzigEstimator 39.9438654020446 38.2256033177486 718761.8969935 642144.45208252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 89.1186686529194 181.792040299962 15265630.4238575 73633859.5772241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 125.554893170983 202.52241009302 31963998.7173472 82943479.0215303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 173.979718933546 301.523987266753 33253728.788112 202874972.081945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 234.608304918632 222.892771888642 40506761.6158396 53170798.8624513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 170.615472804554 271.238010828745 11923997.7930642 60587179.083759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 196.860382758053 164.869874200966 43538411.1861433 26165726.3937798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 173.126878375462 162.137694454254 14002624.1171685 15335696.9015893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 164.879544828369 213.412993635149 12594346.4399024 47867374.4909302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 129.818948941479 222.865784569886 4570816.180227 60793379.3579398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 163.061079006351 148.933333099568 4804922.72981283 2846311.21347917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax FunfzigEstimator 20.3218617584577 25.0828695287699 60992.8015116962 181149.105362703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 57.9431024693915 70.7993790028949 1658390.47273604 5406753.41158419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 148.721366877839 64.670557277321 29341352.9403454 1773157.47022855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 100.696290402007 110.624548089886 4996234.78745148 13963929.9859589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 220.050643097766 164.344192254524 54948189.4285622 61907231.2352504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 218.829707673113 190.467161222343 26961576.3087368 19179089.6190131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 127.292150604387 225.444058914664 29343508.8363406 68278324.9222131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 95.0113529507617 214.19100951196 3710042.33118282 81500310.5612984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 186.916876965109 97.5782383265698 21942109.831381 1509483.30838045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 157.162569411359 145.336770380979 14728214.9758449 4737899.09896757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 153.988881268717 204.049346115668 8204976.17999559 17720143.2698018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax FunfzigEstimator 7.34689295800747 7.20763183187379 6314.16658552037 5720.02122762364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 13.3887787431616 39.9357073520851 39928.2292724943 8344818.91372627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 17.2852179802446 44.4330815581642 53397.0013264156 5100772.60018498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 21.7732007176396 63.2289393510848 79586.9566366731 4803405.8413688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 149.066383527184 74.9221518615553 108696051.3349 3347377.35335824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 64.9579429941523 124.792158900995 966012.95518652 16640099.595849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 32.215159109577 23.953888537262 676042.332686776 124890.57343825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 32.5986417908235 40.9786920791927 305755.362847232 359949.855581932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 37.181566419147 57.7445631957012 222304.906770827 799034.978745983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 87.4490325007035 60.479315117206 5571104.7187787 722796.531028988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 62.9199906430982 70.5244759883914 749537.208403847 837120.12271457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax FunfzigEstimator 25.3172862312639 26.1743723366985 351678.299035043 334747.784702633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 81.8641643919972 36.0884233498574 19132445.7756451 440687.200904734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 57.1984880832844 58.4024350277686 3447859.48773257 2920048.691275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 60.5490219533678 88.0117511636891 942384.910629113 3974407.51944414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 102.748438624452 104.808311570878 3474433.45334674 4497107.26985815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 82.3331667724363 253.752359096055 1537550.40315916 65172697.5790819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 51.6050576351485 131.090721717678 1679211.35131093 31466307.2835362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 136.70850583477 229.122721902774 72244504.0279444 67620555.4091949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 199.570747341545 132.228666283968 45410481.3760605 12147983.8024326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 173.239283978775 182.899836455429 16440251.9817614 52204720.2009451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 275.584014575765 169.243037538552 137503420.352008 21242812.5874448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax FunfzigEstimator 45.2909916828339 75.9746327407145 515882.877858707 5031460.44388006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 162.471760210573 139.782775203773 43765111.887818 25785958.166015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 222.035413302281 128.35836211845 95439548.0905794 26604691.1970494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 131.932283879757 137.556675509691 6395668.5977372 10387687.1546615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 189.16083128528 195.214401052565 19052920.2660121 26701145.3528828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 253.79381711418 208.251329724184 153161297.687217 18517443.4984345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 218.836145043433 126.777633778074 81215651.9970867 5939634.85607623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 217.599802149164 149.094129271999 33135715.5947852 7111946.81838133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 150.61916434883 241.147153441813 5213224.84725954 44410744.5875423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 236.905888777481 157.107881486224 164374247.163214 10445537.1013236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 252.372533342735 107.509327789779 103657437.330556 1040452.95849406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax FunfzigEstimator 11.5074298962269 10.8622912427239 156291.087277789 159114.070336474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 128.578052628624 21.9768884159857 100527552.407631 1302954.50899406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 126.61640933711 36.5262717395682 48799977.7327242 2346639.91732064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 77.9602942986848 38.5027419664301 7186997.7735467 725028.461018959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 55.6436237090186 94.9437098185555 1016338.96029106 7430244.94370603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 98.202576519185 66.5626970554577 9445179.87218336 1452312.68761587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 61.1027892440751 38.0282557510839 12053015.6270103 799828.012766157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 82.1452217661517 45.1495236661894 5003751.3837942 1055639.95019904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 72.9032870618739 86.8561281208504 4729368.39722649 5123819.89755099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 60.3888879060498 87.1693778461275 552685.258734358 6873190.33490271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 76.4659801241853 65.9802411188208 2487147.16713475 1447799.97144993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax FunfzigEstimator 5.83586030736407 6.07690698859183 11081.7776403538 12784.740321147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 18.0171015001621 16.4558553741392 481604.770569028 458524.551633291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 42.4581185456286 49.4245996484508 3184145.55849077 7275949.56596559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 83.9344308858431 61.9613820738445 8846716.7990452 4765296.40821124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 72.6103598878064 89.7598540596315 3098462.88444898 16922587.6722389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 87.8436453962105 78.2814083943855 9322530.70231495 5342347.29735893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 24.2710595254871 53.5235558186553 342803.377605341 9139033.79494501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 96.0148251585499 72.9280257323774 16989132.7216508 10684983.8260524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 113.771139631606 106.547395274778 29766735.6854726 14137733.1915849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 88.5991102118155 118.153845657235 2419325.84651915 11279242.4159751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 127.524314242921 148.179174222278 11406934.0095793 37407871.4200724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax FunfzigEstimator 3.49046549550168 3.26393083064088 299.703111927029 167.202204288097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 5.35424856389768 4.71528977617469 7542.99566419264 1346.67142571132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 7.11337758844907 7.67845936102708 4991.3670978272 8318.21761609781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 14.798091443762 15.2599311963195 47354.2492985661 80153.5920980982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 50.6755668123023 56.0838446598838 360680.718689116 638756.239414028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 74.8837237759393 68.525783870559 741288.464170683 539276.749678594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 12.9091166871458 11.2552867758224 36142.6976685815 19695.1145867381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 27.7016811645256 26.4809641889288 219713.090656205 244112.183899902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 53.564863120222 53.4322164851206 441159.2386897 377779.216621625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 97.2325196111558 99.1473045197545 986675.784316898 794376.12514487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 115.466389703263 118.103298282826 1151177.92729075 909690.839767137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax FunfzigEstimator 9.82637383604852 9.76245734670356 2424.44284173378 1850.60543289872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 11.7076076030549 12.6562346107453 4871.15516632137 27043.3077213108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 16.3680358094461 15.7897015787943 39668.99250296 15168.5820578226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 29.7829339073815 26.218881027322 156540.914945625 126223.751867684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 81.1125951909685 79.3190253124817 939355.202155942 685199.12137281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 106.682673764179 107.075397129337 1109876.7830253 1131319.88944276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 22.3727183866367 24.8728108089112 46780.9256947337 117790.384382708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 45.5582394726403 43.8966330764999 364206.938380538 359518.211766856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 84.1043059323047 89.5872999320944 971765.31387988 1473525.04541564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 123.705792187233 131.540440724112 1056290.89494973 1145001.8627859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 149.459068108202 157.769952601835 1426728.10250377 1363226.54490823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax FunfzigEstimator 4.929633595256 5.03336379200543 726.468807160967 811.28473739138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 6.56365054592002 6.63571509083039 1814.8102693821 1631.13419411582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 12.1166043453417 9.31609167266961 93584.8850974361 4778.47925807295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 20.2016652110117 19.5316535193233 70711.7330526359 50120.0826496942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 54.0693056980195 55.3802153514611 443910.042405954 302078.55024062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 66.6674862806937 74.3574938514261 395359.40433349 456489.423225974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 16.8771178322641 16.2921885873374 78229.045387292 53959.839566504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 33.4955177790274 36.1044336605631 242655.903998803 610415.497376756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 54.5949038760214 58.4852503447489 314114.554762856 428504.923879816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 100.345350908746 98.7114219433701 1618696.08533296 958167.565069848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 116.321252366865 113.365705730831 1450012.84166359 1222480.73764544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax FunfzigEstimator 4.35386591604819 4.18513728037936 429.812179460687 329.459186567035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 7.42515655642348 6.91070308334804 9193.96207471252 5871.48653049311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 11.1931966357112 12.8919529543974 18633.7265936469 50441.0280066046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 22.8648227208329 23.5685346744966 113720.378602602 208897.470937462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 55.194837355714 60.9851227772264 333209.361222492 753079.982912102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 83.9071836239026 75.0650598161471 771359.857143059 597703.784346145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 18.0601965811265 17.3450839758002 56421.7991039624 57836.6553232206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 35.9785466682852 35.487131996616 213256.56523288 279728.973477754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 57.3031963974551 54.9956837509929 649562.444172155 249465.864303835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 97.1851303462929 89.0493026020007 838107.789791464 430745.615186513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 111.670233978288 104.030899002359 830212.370778439 492355.305947288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax FunfzigEstimator 4.1801534662721 4.0459269359152 343.153677369749 223.310621209719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 5.50490584297978 5.75710649329818 1056.28650742848 9313.78174790623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 9.35134741232578 7.58819166693509 51580.0433488118 3472.28495764249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 16.3074098826793 16.5320866127576 68196.0870115024 59561.6112544268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 52.0162368018103 59.4898094643776 309523.942702765 669839.884986115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 74.7792346023668 71.2490092978983 535280.081724996 372217.81747104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 14.1695568821684 12.1430926592274 58600.1668292201 19253.2559187429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 27.6296722416141 28.6994559954259 143650.191612234 147795.099224141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 55.6949312159738 55.9465794061045 389499.532285412 335361.483343721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 93.9429823743485 90.8932339925128 621374.602273589 440612.868421036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 119.732085833578 122.344608111113 1769625.94657946 1013046.99417187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax FunfzigEstimator 3.11251819015336 3.13347265585423 547.068758708261 324.126384264643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 5.65801040244443 6.58761549410776 6448.14536646812 11982.9453560958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 11.8669359050082 11.162260434632 145611.906351203 53758.7437594315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 15.4929093361427 16.7415793687069 79806.0992594208 96363.5184357797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 26.1612873458205 28.6770024781423 107779.072843843 165309.461061057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 34.1866978846411 35.032537350525 126932.196456338 107572.283627305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 11.0108594892594 11.5096967423569 26906.0628666501 39249.7921031733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 15.6610334468191 16.7534013356873 49242.8130696766 53432.3424837272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 25.3765132077289 28.1498180680989 123125.413011084 132094.735139242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 49.3009823759713 45.9798275145836 192726.433724795 92243.0434122253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 62.0176527004887 59.7953032118509 263056.423719435 204702.270094497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax FunfzigEstimator 3.07918059564643 3.03105453244184 213.620795605711 192.579415704455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 4.96655246730898 4.7147564014592 4251.99408490005 3731.11019901129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 7.42628242217758 6.88435267032631 9666.64694329811 6650.44756511198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 15.4297384203919 13.2803575069391 71419.5865192634 40357.1461646048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 48.1619536320372 45.0183406376336 302704.327620936 224444.299025534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 67.129772264724 70.8149477940348 534467.931384882 556474.305602102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 10.0841938293081 10.0913979335931 11514.942248637 12466.3585212288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 24.4223052986727 24.9053044109224 80362.540840178 198260.590007716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 51.6743551073496 49.651058051995 517299.63564899 309824.323288571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 82.1839009665789 87.6803391359289 521837.41811959 939880.217331934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 108.493827552398 102.709639730598 957415.684647225 662976.134787422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax FunfzigEstimator 6.6449582554634 6.5022518509802 1368.93591080062 1065.7968859326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 8.55046927822757 8.37810147520748 4095.84367273872 3520.71602063657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 12.1001795139439 11.6051711946739 14745.3431040112 15135.8777157024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 22.7348546652202 21.3822933113179 110262.171003993 180976.338674218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 54.962607380979 59.20506590718 409221.195844985 524294.245792547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 70.0289807052059 75.6728696195539 345919.563503515 902694.062045612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 19.3840220385255 17.4744474206684 157756.581761569 74185.4202491847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 34.1993726769323 30.3784913331996 341899.893242348 143172.948083891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 59.1171850836148 58.8507022344596 572681.165308992 558565.348343918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 97.4044232592951 94.3804468272772 1053478.65462874 870036.454873067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 108.577843800111 113.757691439945 872537.631562118 1154110.66745369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax FunfzigEstimator 1.68476205907446 1.62886329532459 95.5475598089059 63.0860722208615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 3.7915318047514 3.79016337771032 21281.5032540724 18235.818400022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 6.10437987984278 6.00832517292348 29112.3097252877 16874.5021068715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 8.90708550057733 10.717568663926 30478.1884778897 120159.787837807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 20.2978794620319 24.2865842550892 51607.1443741269 137472.875050396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 33.4473897745464 37.1539182143001 147136.043931119 328654.009419921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 8.84964335590263 7.06500371948861 93117.9571398205 19586.8799555289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 13.9274223983383 12.9081749523668 58276.7732851972 37733.157298807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 25.4127656250734 23.7989803370384 156636.626880731 139208.287372366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 44.1739241455314 44.0756596826004 158094.643130717 150874.277028533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 55.8710935745537 58.1416663198597 141813.091887762 235375.936522228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax FunfzigEstimator 1.47373831897236 1.46830831318764 58.1342467914445 51.3902286494503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.40546684847816 2.47593214569692 741.026171773995 1915.53696547186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 4.33317995138127 4.01796990859743 10030.801936677 3672.61355427236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 7.37304733481161 7.83510267012634 9211.48096207132 15889.437202713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 28.2792974262907 29.2335053119475 166621.735732022 169824.227375942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 39.1336691422421 40.6931407920007 186126.060311639 230047.963409958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 6.43997211456316 7.02927632160082 13147.1761083355 28916.8257981721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 15.4555927782817 14.2871077204553 52587.5442755121 45554.1678599093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 31.0302977740843 31.2439327608877 203725.560002719 178346.191151431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 57.8398625683753 57.757113298119 312209.227304248 449153.304505071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 70.7501745645144 72.240822323277 355359.484537766 389973.358675587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax FunfzigEstimator 0.84479491082107 0.718573367730401 2.81873200916563 1.64856516811072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.85147185691678 1.73966986760888 52.7220333479058 40.3698235586008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.89494362897098 2.85955922790707 96.1892761322827 97.0646877692217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.10215966322689 5.12070904789579 285.786192062435 234.131084645045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 12.7330593111268 12.6752082567174 1102.49604596056 608.170889114741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.3043385907628 19.2403792600421 2168.87526088182 1101.31191294348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.33182454504969 4.30664124303336 208.236451894393 180.355564913814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.63824380311151 7.62965012805689 456.590849475541 348.022204256286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 13.6084670850876 13.6195316671892 1230.32422739743 765.698261849105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 32.8305127539683 33.1667148434738 5191.11480633661 2699.19344070892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 49.2114778019158 48.953171308911 11286.5553403933 4631.15405216617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax FunfzigEstimator 1.72248042887206 1.89561907010749 8.81323329370526 10.0931850425072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.64223194640953 2.83547240418288 86.3345870172035 76.6618556097553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.64824209364366 3.8430476089858 150.93641184503 134.809882771176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.71027440168863 5.93180302393827 405.932419830893 302.608249073948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.5562693101204 13.6355887568254 1487.33889242217 902.331038606578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.7231711020511 20.6845218596688 2783.22805402261 1625.28627876342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.95054324314937 5.13835469887871 315.386457260085 263.82340123046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.26009367572341 8.35713984664937 658.465257942298 402.766949455752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.3684200448228 14.5092897185856 1520.6384034234 994.236243988987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 35.1375620687726 35.147767597789 6430.85183360859 3317.8361294668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 52.7739761003755 52.9572403025501 13221.2026858927 6926.24554891904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax FunfzigEstimator 0.768725740272205 0.729947515693743 2.03037542241043 1.5261578137128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.2186732753958 2.18664139752592 105.849888134583 158.013096026745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.50077336497841 3.37819132567139 198.488527293594 153.402064493862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.83665437806283 5.76331447310648 314.342257992998 286.839892195216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.8073930914451 13.6463832478242 1252.2089422291 831.982670497596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.6758278912631 20.3480774352655 2470.23201084466 1473.85204603054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.95209891894202 4.79483462423396 316.602519207557 230.549958779334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.34335326304768 8.19213786762127 621.920004548919 376.712575604396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.4689045326818 14.412285536054 1430.29155661484 1017.19725219936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 33.6748904195833 33.6875808658635 5469.20549350193 2934.45760866157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 49.9612368165613 49.7333025729378 11422.5584933084 5303.05715111556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax FunfzigEstimator 0.584941934992507 0.502454167573416 1.16464426570599 0.710931211240732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.97643149586511 1.94181607462928 69.146630949045 94.4300491552898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.42591411639103 3.41076353426761 219.510335284808 248.43022810146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.87563588837302 5.79405491151941 398.553406927319 276.523351229393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.9281909180575 13.8204577447182 1275.44269705521 693.967015029478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.7397642739545 20.8267028844678 2554.11185690288 1386.71422676295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 5.04265692620036 5.03522721595659 309.506645616293 243.245306564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.67541332664898 8.72456071468221 589.949218801384 504.259549747186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 15.1515616672701 15.0242421328423 1612.00244865565 939.691972974418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 35.1366272243221 35.1126862935863 6124.54779429988 2823.83519490919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.9122378509913 51.7779031517225 12388.1481050467 5581.29456779132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax FunfzigEstimator 0.898844495188416 0.853842199720368 2.63821390032816 2.26595992790352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.14992127219542 2.13154110344201 108.586682271275 125.626313830738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.39710423417234 3.3388069111852 194.608108838065 148.724385940154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.83226712536227 5.78121807228764 476.754654185496 356.254626760261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.9743255885246 13.9110638882352 1303.89363613092 943.76097695365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.6923110304225 20.4945101101561 2440.72638624916 1321.05288107806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.78328353673819 4.69218728071878 278.598727582735 192.994180356021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.43852369887679 8.2746221885439 677.085197694381 484.985925750287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.5120626133376 14.5212135484919 1367.02010560492 917.41520676888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 34.445934755568 34.0998972399277 5901.39567062237 2839.56141280352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 50.9717761273448 50.613690954736 11610.2973806872 5271.56813762868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax FunfzigEstimator 1.08916345437368 1.11893660673519 4.72554574809871 3.51667476639565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.07290137315674 2.14615782458574 33.9287674202181 31.7072748340998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.17478430306848 3.22685383845328 98.4130304569613 71.3344700204574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.31745795989205 5.42110301959009 247.841308544149 299.287569989801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.0318239035089 12.9554279919898 1130.4617707863 672.573015916852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.5646413289862 19.391281741381 2229.76302983316 1436.02765466996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.47298151357173 4.52532812005774 168.830207045216 145.142034001738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.73227778315971 7.70626620416557 422.068670487571 278.005380586347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 13.7183881635144 13.7411157694336 1225.93456951517 787.950204038762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 33.2013493782977 33.2937077278166 5384.15189817009 2691.42954246118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 49.6223808539206 50.0141191236038 11375.0293294926 5429.16389396011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax FunfzigEstimator 0.721741471123116 0.584018583449564 1.76797159062901 1.13714811833767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.92923413516818 1.85109323076677 85.7011971858062 125.456144054594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.0021355721362 2.92204162100685 144.595626516043 135.245087492935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.29899300407531 5.19915496494238 356.562593884777 219.910602447304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.0534539396673 12.9436621146777 1134.11814129431 752.162160761569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 19.5792258652425 19.5989651900808 2058.44602874651 1229.75991995649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 4.46407063312768 4.37561230385195 217.509864861927 158.867051273628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 7.94930334695164 7.90652804386791 545.264397322112 364.106357519404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 13.9715785958142 14.0392111966592 1213.52127672738 812.343206858888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 32.9751830589356 33.1275199720562 5144.2113377361 2478.39590652868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 48.9291617779138 48.8933663446126 10871.785121546 4950.81039929126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax FunfzigEstimator 1.7230702477325 1.44447377337472 11.1676634248407 7.0215784774671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.75790744625965 2.5614511654144 85.7504973448758 93.793779794454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 3.79295201978104 3.63580582648152 136.236115337272 109.932235915249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 5.919321787299 5.82622457116406 311.281667308845 261.367264103384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 13.5844353505924 13.6110203997637 1150.74766973324 805.031247725254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 20.5334569753156 20.5222063796702 2531.25721198442 1482.9014327659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 5.13960345408962 5.00644162118986 310.402077602516 225.021480789104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 8.41189358235927 8.34347036601178 575.610181309973 429.553831279986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 14.4416413764426 14.4519154296869 1277.45856550777 832.32524420344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 34.6234573153515 34.4403017141558 6323.71230996355 3052.84348473917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 51.8015982682176 51.584910574316 12506.6928103786 5702.67519389131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax FunfzigEstimator 0.672624532689459 0.494095008132454 1.62171609221251 0.762979456484572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.6163215751342 1.52117737126848 36.5262016643907 29.9338459431783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.62488256306468 2.55806185676572 100.636258249246 68.4858424342899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 4.59045312463639 4.53506401099952 214.36961050746 135.949497671686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 11.533731798526 11.6307826092722 818.832370332818 487.697935169658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.6253138107034 17.6480549024575 1649.07525665417 806.863511633448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.83963627608435 3.79928756205635 169.317733606485 124.739423360067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.79503697516673 6.82158737733046 372.761567264332 267.397071061489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 12.0814846619719 12.0432872945603 880.428419127326 475.156991329161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 29.9423991877024 29.8630918001247 4136.72533524668 1698.5973626748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 45.117095415264 45.0798327209477 8893.7507401044 3423.76238347302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax FunfzigEstimator 0.380289835249229 0.316687315433202 0.654158094919087 0.416963994472682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.46430327118403 1.39609543284778 61.2574142902694 38.0546527507424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.44902161223688 2.43500796030308 94.4873420358114 83.1622836040413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 4.52736530423863 4.52750654492267 250.007643089639 188.934551927412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 11.1603896963721 11.362008295243 792.608042277142 529.314013796294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 17.3202477542485 17.447761545135 1700.63685430159 968.295971508448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.54078163131419 3.57968782242357 142.700110806557 158.863473938601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 6.50273836447936 6.46640284230749 359.005014905944 247.069939024527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 11.7940418501583 11.7067576160567 925.655512668929 503.15488794154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 29.2030540747061 29.1569001323688 4196.98879521953 1902.63861177647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 43.8801238162018 43.9479812885643 8602.19219778742 3620.68491867423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax FunfzigEstimator 1.62688824253539 0.788155550924472 968.610832613995 3.36159568285041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.65462971742224 0.792240013660471 1030.2886182754 3.55084270918568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.63523938089247 0.799493534783295 973.813439680354 3.51537630767651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.19882024433113 0.811869202561349 212.798186080827 2.34195402473603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.06480242019405 3.72910715495665 5.80188922814008 13871.9514336329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.52053949748928 3.81968898124951 14562.393004573 14000.6121198461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.986971055414579 0.828722787665937 34.8254827946855 7.49908793945371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.93229306686871 1.03321770304089 2026.4895218723 82.1891240758534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.45797566354807 3.02420405758612 140.884000771445 9162.23102485916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.45840242491987 2.58559840717274 27.8489761086556 24.3129215231455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.16846173723114 4.54135545354694 90.8334007766594 199.086322707571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax FunfzigEstimator 0.815622075437665 0.840223544120527 4.11409653964926 3.30469781529791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.815210646841528 0.840206166460872 4.11000984781875 3.31853547849605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.82207212791824 0.846749843009573 4.13994442570915 3.34719375903597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.849496825174902 0.874798947202793 4.28384663645277 3.44477962642328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.07304098521783 1.11682084391152 5.90966778589851 4.36703937580351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.42412544955238 1.46091718793899 9.55919583642258 5.98634681519161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.849981258889051 0.868932454654761 4.41402424447459 3.39713240474444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.923317958544482 0.946079066005875 5.03264659397142 3.61823754841671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.14778031110779 1.17772063715085 7.23818855738063 4.44147822719807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.49791255355785 2.52201969803104 32.4348307999164 15.8725761551302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 7.80677142351104 20.2030986752069 8592.61230476977 227486.621669714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax FunfzigEstimator 0.869131068892771 0.852870103858078 3.55004545833942 1.98361480161374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.873983028558699 0.856944462897056 3.57002622337846 1.9890788954907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.883941058261461 0.864901163007913 3.62839897568295 2.00653586545923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.920610943535589 0.895154263052497 3.86789100415614 2.08279694683368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.20995247070991 1.16440826636287 6.43677576657529 3.00129835405703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.63081945245035 1.57399663540571 11.9405378818444 5.00343461604251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.894566236545172 0.873315583075027 3.71842147072221 2.01749881202567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.966288518436224 0.939195542177893 4.26719475022136 2.19584028995324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.21351958560415 1.16540129040727 6.53798362465779 2.98423448649095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.70155983911146 2.62004539325003 33.5725234134521 12.2483365733293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.62408567453256 4.45076266661347 113.991432359742 36.4705889450374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax FunfzigEstimator 0.270440334957499 0.262669800060926 0.421078800818858 0.348765792206806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.280588458452775 0.273715694474264 0.446739539180478 0.366031425179868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.304142607964555 0.296720297617889 0.500304747567114 0.394099426159945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.374340827728987 0.365794045276422 0.687598576003434 0.481099451214328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.768657751906823 0.764219722852014 2.60090596311273 1.2265902243138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.2221543872614 1.22394691313821 6.60997270126604 2.62781650399136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.34599015324707 0.337099728083891 0.576149384555394 0.405339915848859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.484482066397372 0.480433721850525 1.02537906397018 0.601247977059058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.823178650447453 0.83211156997542 2.93212996618381 1.42050329413171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.46166961732118 2.57301484920524 28.3315170387743 23.3284578503812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.94132826178001 4.30888104629027 683.902414512491 28.1659856905986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax FunfzigEstimator 0.412205869680642 0.399846330329073 0.802852553646191 0.724380925160901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.413022007281159 0.406081848665301 0.806759565188699 0.734945071821504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.420902546731093 0.420475274076576 0.829864967279651 0.756141402019684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.456224600834605 0.464702978602718 0.934042353226533 0.826418537502731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.738175126967436 0.751339156951172 2.15083672083322 1.45057272909115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.10617810386602 1.11396226162377 4.81765823064058 2.58181172563966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.463144781397797 0.455160099119337 0.992760668258391 0.870622721937683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.567215966687282 0.569719340607879 1.41206957917754 1.15098369241978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.845039108615158 0.867223425209349 3.0142978033173 2.08857086347409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.28580811820779 2.36943272347844 22.6215580526155 15.0191547763999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.00463589224297 5.92322072863984 82.3772597893216 3363.42441870173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax FunfzigEstimator 2.1270633286091 1.24025556536231 2480.64309059188 33.3500728029899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.23636044275467 1.23911666406277 3725.98583787482 31.8730208063873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.48299509255245 1.24473933565563 6401.84804853287 30.8594524744385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.08837948216653 1.27041689089999 24.9072366696541 29.6348598806937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.29244650155057 1.98383373219099 11.8740057969165 864.592781149107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.69838303383074 2.11808691594644 24.4747079461057 309.597474740128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.3225412461625 1.24271636661096 336.51417011066 26.6135735978767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.29652956924722 1.31467807211986 118.255805989342 27.1092050418174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.56329494410487 1.8883072985377 57.5076790983022 302.086156346852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 5.83972525615965 2.85788730859005 8781.88477582614 23.7075016169066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 6.2210691949284 6.45961270520727 5119.12030196849 3268.47243561162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax FunfzigEstimator 0.117996777856654 0.120043484818563 0.0817654776845059 0.0699144576128734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.132961231521237 0.139236538144955 0.0933053607204392 0.081310285515254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.167633835959012 0.183040448086566 0.134806185163649 0.109473822260926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.260836018177571 0.287799925779534 0.309212065362138 0.218220823567076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.714536706642234 0.775271039364969 2.39043357328262 1.32780530017362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.19540973364116 1.29391448471235 6.8178980146106 3.47332942688605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.23231230258787 0.240873680424607 0.258844937142911 0.140976281565302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.415470920043646 0.417304539043386 0.831875137890939 0.364929572306957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.822424272083005 0.815514027120555 3.34098070071697 1.23221059852655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.64226106496258 2.49098887804329 40.0304632571274 10.5687740352499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 4.27174685462092 4.86923905922254 90.726218862245 234.347079580331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax FunfzigEstimator 1.11567231112452 1.0830933711317 6.03789051285137 3.58874022097252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.11638990995846 1.08245839491677 6.22814790767932 3.58547770803918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.12166567067515 1.08738090800295 6.5122153619918 3.59904319248246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.14479520753143 1.1118047165505 7.46442256767548 3.70500983087744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.4056085124543 1.38931662171952 24.4685373535122 9.99517465062706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.90725320646262 2.61696383585827 136.051357505103 1302.76426287872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.15390560964325 1.10639425600148 7.11457078957148 3.73424420585236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.23711113584126 1.17351582267784 10.2636588826085 4.07328058170519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.50386403194329 1.39293063477453 25.9680419657483 5.27041916922517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.21006495844145 2.91777800439526 545.898572319654 74.4939191623736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 6.1712046971999 6.5879928305939 6394.23617673016 10110.9013858826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax FunfzigEstimator 1.39081356811952 1.99598779636141 8.57404949435457 341.89133543219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.49477376276755 2.06594617436963 23.1347892517604 516.728013444854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.70613956354594 2.25543907781894 202.800932803825 797.551553777442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.43157938659863 2.03287620904228 9.71459254666197 674.146320613965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.65104829015414 3.54027986781674 16.3415761182117 6877.60704495677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.33796914057296 2.93327364225807 3233.86837789223 1803.14934766375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.47647287405056 1.88823585096504 13.497732591904 323.798716508107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.63130544456293 1.58118019248986 35.1422617699771 63.2000528593461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 1.94585742790018 1.72682708139728 88.6198653848568 35.12708640101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 3.28204625797645 3.39638894982155 173.778609187782 509.1197950011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 5.01548761799538 5.1310613863199 210.743032295514 539.55677988525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax FunfzigEstimator 0.0681941032608588 0.0697942947331863 0.0381334267265647 0.0317194884247511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.089658970331709 0.0903814570752271 0.0495342746253784 0.0373347919354642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.124408335061434 0.123644926459949 0.0793128403279742 0.051427660435725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.20794285630754 0.204729762072024 0.203538406143833 0.103246946957573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 0.601793826464185 0.583132074083795 1.84101092238265 0.610744395628015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 1.02446868965376 0.987857867739108 5.8808952706856 1.61532097947506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.171302777072469 0.171526003704706 0.131856348701319 0.0845504432773448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 0.317820838302159 0.318376332206964 0.445678111844017 0.2327756968863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 0.638757400841668 0.640215293024099 1.84667851357194 0.801454742289118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 2.00081114601568 2.0162229931215 18.5093815049553 6.90767058050665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 3.46423253441005 3.52500541434186 58.4600433800832 26.5056496101718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax FunfzigEstimator 0.694830323224631 0.707271396717833 2.56025648062971 1.70502144148594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.725250191075019 0.735136280609876 2.70335774746853 1.75542080670138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.793584300589837 0.801321874281326 3.06894217310583 1.90136886887197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.999098771193225 1.00805731639941 4.46739667128764 2.47022184300376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.18988329322132 2.20224677229319 20.320019500333 8.21539614419301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.57571309623923 3.58547646501724 54.7685399160583 19.4406478779654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.913379006801052 0.917706001760347 3.82113547175893 2.16104298164064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.33141834751092 1.32410874200151 7.56855388491523 3.55127300997311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.35237387389525 2.33267933637865 23.5194118414874 9.08814436074444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.03362958715595 6.98274850012085 218.685937065725 69.6530527396309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.1811369980165 12.0418804165037 805.057048291304 217.813210322803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax FunfzigEstimator 0.777250534974598 0.811746634302548 3.30227448950743 2.22474447305647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.805797117611965 0.83566783371684 3.42080988881948 2.26163651252831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.872993731744538 0.896193177252703 3.77734830873777 2.37584845866623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.06840520874468 1.08114798641873 5.1428507538711 2.83350834261647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.20418157637645 2.20438368025242 20.1864466420028 7.83260511326712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.52844465448963 3.54376482193737 52.1466621781733 17.9473841894497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.990359850962986 1.01442889148518 4.57088910973297 2.63802064698932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.38984678079394 1.40705062997618 8.28052159094814 3.93752479784759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.37677523694223 2.38770372689228 23.8092970971455 9.18068303819709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.97025883199594 6.98152704551735 211.464195842032 66.4662958729198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.1870575050127 11.9818394236677 905.66470345791 197.749294677306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax FunfzigEstimator 0.518913160963382 0.554113643245329 1.56124555485924 1.36320763703731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.557843717134323 0.59670247038594 1.67364786439929 1.42847914711734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.642328368930656 0.683875295257917 1.98577387166694 1.58692555831272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.870499455608706 0.917200402789601 3.21000191117861 2.15136306386596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.06918924781313 2.11953143327113 17.5290532223128 7.65183721659287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.41450889502819 3.4796513028497 48.7944632245276 18.4694363985754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.793311594235327 0.823862621234134 2.73689892123325 1.90743687132721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.24028468400567 1.27500281147173 6.27494655008111 3.37467435770077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.28861480845383 2.32364984746034 21.7024637506381 8.98088971580719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.97380953843712 6.99285500969597 210.713076867543 68.5251887875855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.0004301036012 12.0082664075269 637.508599383513 199.691198732886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax FunfzigEstimator 0.793293947993291 0.759685915841507 2.65200723194794 1.75080588175479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.823661219309787 0.788985309777985 2.81726172747141 1.81743495222188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.893764114550895 0.85853156653445 3.26068121049267 1.98730804221618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.11067524604005 1.07795879860748 4.97892267119706 2.64060896256924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.43224896527852 2.3942122077159 24.6612692701153 9.48196353474264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.96463244187979 3.9249090028201 67.3768271853147 23.1580667837865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.00848259880245 0.980681771438876 4.1157094037793 2.33184299062637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.45461298617816 1.43456170761165 8.58156208264017 4.05369024283279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.55889942187091 2.56869851461242 27.660602985463 10.9166251283988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 7.68169038615032 7.73105153520259 260.796343214946 87.2313824572427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.3535776434082 13.4449376909714 834.642023567192 333.308421117041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax FunfzigEstimator 0.912459596785889 0.977744452994054 4.08390424647701 3.83041735620071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.947636843775559 0.990765425433217 4.83131055436455 3.5410013843775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.01984498548267 1.03137972845056 7.74581720370921 3.33101341422283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.2429417698912 1.18790830629435 44.1054545411038 4.13405625822474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.28833307868093 2.20602975528008 58.8570473557651 9.72672080125271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.5600124996903 3.53536863930037 86.7761046373863 37.9565109643718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.09886487873639 1.18943326789353 5.37575647220324 23.5939321296697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.45940121811521 1.59885457967155 9.11522505510379 94.8096488119161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.37252081088847 2.57523843450301 23.6550259791148 251.860188292483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.7844896419608 6.98668538553854 200.383874703612 206.6092736966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.6910941675369 11.7869719501197 645.486908962812 278.125593649463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax FunfzigEstimator 0.387546290230554 0.370870425649415 0.867250550330411 0.572992450391931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.430675514085112 0.415505928751731 0.979631899175873 0.617624201552958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.522183283732292 0.508740785531386 1.30172291883746 0.761667563825906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.770616651349032 0.762541352779934 2.61678324964109 1.3347437950957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.05411325965133 2.05245522892151 18.6755156245236 7.26783288454747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.45503554967305 3.4529665920539 53.7315931895479 19.1517863155644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.673343351090738 0.66149745222689 2.04438459907604 1.06184965865953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.14229972674324 1.13361881463952 5.74775941523779 2.53280015552958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.2102966045728 2.21175566860257 21.9986297522573 8.43771460515287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.9059340119115 6.92339618997372 230.462567284174 87.4957042081101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 12.0847687968599 12.004598185234 853.876291313305 327.237587629588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax FunfzigEstimator 0.295990167140499 0.298244140948415 0.512677667835203 0.338148727815165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.363101683745955 0.37308462289008 0.672680185928555 0.437811431890433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.491128431734313 0.511574930513911 1.12238997625148 0.657327966994104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.821157762267108 0.852054234680701 3.00524066151885 1.43187992987533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.37822465509281 2.43134590523301 25.3874498094362 9.00428108402816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.01760700752045 4.08577377973885 72.8169953340598 23.9638599477281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.689472009159992 0.708913905425957 2.20480190746073 1.08384091666902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.29086817228956 1.32053269753924 7.73777963683839 3.1906769890446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.59676384240574 2.63834040049568 31.4436617664556 11.4291845639698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.04477966360268 8.1679459870082 300.400687623138 103.412292937347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.8327036711097 14.0095556947736 903.299128070905 325.850859419406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax FunfzigEstimator 0.215243464183362 0.227339296814386 0.183851017212836 0.151983810420642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.26580919941308 0.278276426331262 0.267826307414697 0.200275959415769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.368235774957238 0.386813460512467 0.511162192035481 0.331105774869541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.642029200365853 0.664746317252139 1.59359826183213 0.809763441935405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 1.93330342223956 1.96273538951602 15.397914565732 5.47937751422211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.2993255955801 3.33343473212449 45.548218345467 14.5512542529688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.541530230535623 0.57103675487419 1.13618142234444 0.625246193765371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.05376858435903 1.08123854000918 4.50354085297199 1.8827312620371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.17592209186643 2.17897681389994 19.7832401946815 6.659961586683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.87813723013559 6.78001440856552 201.351134958386 57.316726565992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.7464684462955 11.5614058737973 589.036548959126 164.906990144226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax FunfzigEstimator 0.975916664890772 0.932087756490263 4.52548471305818 3.52876553449919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.997930171090559 0.95621189195663 4.69000207488304 3.62635943889008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.04822336187952 1.00971203366288 5.01532430207533 3.76935775050591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 1.21118965324957 1.17680780299043 6.28740212719099 4.30822599176184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.28991469178179 2.22823668584932 73.9987414842347 10.8342971580272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 3.49438710024396 3.49200509196595 50.0283830956518 21.5867559952016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.15097627001402 1.11466052107827 5.78839321589744 4.09135799434684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.50143312207129 1.47381131830752 9.14888533961245 5.65758938313215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.40571510388744 2.39354201193244 23.2862010411251 11.8726162091236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 6.85334415047496 6.80541923772272 214.881083604941 74.2785846447629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 11.8717779963728 11.7300516576008 702.720647289268 224.097999511665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax FunfzigEstimator 0.111671041546575 0.111994273865416 0.0805481636632846 0.0418890516449716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.217005029398029 0.218038660035615 0.226938406092632 0.102813201705811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 0.390297625349007 0.392290375048889 0.719769920159573 0.286669373066406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 0.779477325896425 0.781014220037119 2.88972416177083 1.0097423562695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 2.42523350648352 2.41069473593133 28.0143069262624 8.65061486576805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 4.09418300153796 4.06622306537992 79.8700006101927 24.0404240246022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 0.625754377319445 0.651356881107906 1.85872835665671 0.780747632382279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 1.28037522781115 1.31642630224552 7.76168307324452 2.90164657535557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 2.61422059854072 2.67416226938478 32.305731230833 11.2836678752176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 8.03143541912698 8.20712899910163 304.677516887899 102.773876182654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 13.7416933803061 14.0654570370234 904.909837267183 322.663586658786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax FunfzigEstimator 0.517368925994419 0.424001909342082 0.883568096704902 0.519690762946736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.786064542669885 0.690658889424495 2.00408856789438 1.10872677239145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.28516998313512 1.19215091731692 5.76310232015558 2.80076749215792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.45234853648064 2.36681469355278 22.9464669772919 9.28652997536208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.58100030058979 7.49502037574231 235.999046225365 76.459463210968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.8037038021165 12.7263752969374 682.120954538005 209.823466939944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.96194290742478 1.89535346062676 14.5528827045324 6.44800653258145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.94901508946313 3.89109011718107 62.795682555598 23.5230749704915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.10856333215633 8.05116669324624 272.992280444772 90.8319891268039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.8049491235708 24.67589073797 2585.81681155872 785.438539522085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.1268843298337 40.9018122220909 7118.38416930822 2143.1097054219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax FunfzigEstimator 2.29189601564324 1.42128365872821 18.1076783475161 5.57815569857324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 2.39561993542836 1.53583649905901 19.6952757703636 6.0187674149486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 2.67263750883786 1.83436731862765 24.430961674638 7.30963665868673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 3.50707581387931 2.72686534636865 43.2321210933808 12.7858792309128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.12581595547149 7.50341821700828 255.900270467407 76.7656910513779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 13.2421990910627 12.6981860965939 701.772395700884 208.682002109172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 3.18941039496239 2.36034154822077 34.9814276333185 10.2640942804308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.87250042218182 4.1063857553969 86.6267554728315 25.697069822575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.8550938505687 8.15506479845349 305.518798822835 91.2000733559544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 26.0794197375584 25.3966105668209 2782.00549876474 822.849099722667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 43.2361591366416 42.5476673736317 7687.34491846608 2300.1826503056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax FunfzigEstimator 0.345998829954505 0.166218738995843 0.281305320926685 0.029929616234783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.792926940218193 0.628385472473327 2.16332332976929 0.512378978769863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.43727987333559 1.32666255040661 8.02134974148372 2.20887578144295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.81477750899484 2.77874181262281 32.5454654270413 9.37045568499259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 8.46800871917357 8.6487317064957 303.443738637572 88.3673305437734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 14.1384994815253 14.4896910839428 849.275070146342 246.452527073099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.1636894872172 1.99491480926712 18.6701121528886 5.17941358203571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.34417077377262 4.13452571893652 77.3607943525462 21.7674887826872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.73651952071944 8.36234547379759 315.405411341754 85.3533989123689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 26.4928848370991 25.5135451683678 2928.42261266993 795.969055081924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 44.2273936235838 42.801934653808 8189.38690571171 2286.39919554015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax FunfzigEstimator 0.889590320115268 0.444731532444952 2.08494924571815 0.712634098877268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.1046907248477 0.633320327363314 3.40962838014384 1.10357384591898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.52883913307111 1.01614068947009 7.25084240205507 2.26729772097575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.60946101910281 2.02102224355852 23.8905184480527 7.22580277579137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.54539637869353 6.8033411519938 225.111532849793 63.6326411364596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.5975589888592 11.724710472667 641.886801754831 178.412243730824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.21817741613907 1.72999775530932 17.2287411229367 5.76824191068915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.14068091622231 3.64801280612368 66.3153351519946 21.5795040611927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.28312553823933 7.74852158133068 279.329593423144 86.2383867563401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 25.0087277881503 24.2065860319404 2622.71082069158 767.81468382806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.1702621126564 40.302752734777 7139.92791183825 2097.52718847152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax FunfzigEstimator 1.05999861669506 0.959110853522758 4.23897889119294 2.759007152496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.27456965068443 1.1018185793103 5.56454678379341 3.25848544006786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.66098569820394 1.45863653995262 9.28379753045536 4.87589538444977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.6472960209323 2.43478732522381 24.9930931733434 11.2233767911464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.42198159443948 7.23093990540131 220.257046097894 77.05068523676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.5077074971116 12.3412298300928 643.105279279747 207.181328554242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.26401312559444 2.05287002847121 17.9818065716652 8.56596893340041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.08276722687033 3.86097944054836 63.5717552371551 25.5487550180543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.10147199556132 7.876799658002 266.096399456341 92.4667531227518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.9401510644551 24.7139420117138 2618.42000315769 802.026270174022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.7159738897291 41.5403758054286 7353.34822970759 2232.88265413697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax FunfzigEstimator 0.318510493050644 0.339406285672434 0.476321077732752 0.400453137309349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.6363578280426 0.666257105947083 1.5675925582259 0.986903530256383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.1486093020385 1.17769354972717 5.22173377943283 2.53528652283326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.2950708770695 2.32169026534353 21.631441964831 8.41155976596336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.12834793867793 7.12523271252627 214.731629390375 68.2832740630467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 11.9833915597646 11.9603506962821 609.431026692439 186.296172333524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 1.86892691214362 1.87998434683453 14.5268468298318 5.90734814584107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.81993229839566 3.82024925506288 62.169318174633 21.6649825072244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.79177297940693 7.76823002112751 261.094979053515 83.3211734105931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 23.6238059713366 23.4612706712663 2404.17785629978 718.643703813965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 39.254266306826 38.9481360924794 6628.26994958416 1988.90929137384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax FunfzigEstimator 0.63184538580509 0.620210300642069 1.81034017014695 1.64638698203028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 0.909713338582603 0.913897691147896 3.02762478678011 2.37056441222434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.39131454351286 1.402134741908 6.91317927062412 4.21842566501803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.52786425327951 2.54265091319661 24.2123531000838 11.1021552455377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.62443975084724 7.64315262194554 238.262269492468 80.5828590815972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.9024817197535 12.9480389671538 693.761084836618 216.70441276416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.10364011111552 2.1141246242658 16.5421915971556 8.26939003631174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.09764920871943 4.12230617916049 66.7505686695859 26.6079462506011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.31968058397881 8.3855445268194 286.032339838332 97.8443540655467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 25.6605711682204 25.9176109847396 2783.78505513096 846.522960891422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 42.9737671686177 43.3797346387015 7815.45768051747 2347.69916669525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax FunfzigEstimator 0.897740259903093 0.767517439862494 3.13269958220762 1.67353178081834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.08667618687345 0.969695728331587 4.41194952583708 2.21261941492216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.49492635125026 1.38918645762255 8.36124958096759 3.78099795860185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.55873558199933 2.46266961238733 25.5284516515743 9.87577268179532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.52586347094771 7.44237980564468 233.460937343149 74.1257567709081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.6402011684071 12.5769668473942 665.148806516852 202.074077456768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.15591818021636 2.05091078997019 18.0342101221863 7.3306239491457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.08161783083945 3.9871000729116 67.7621365512974 23.9660912549497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.20177474794259 8.13191266829484 281.146725108309 90.2745870387033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 24.968891819224 24.9402238143518 2639.52774292427 789.854058926974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 41.3818523452016 41.434314527573 7244.32181013977 2175.57470974956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax FunfzigEstimator 0.934864225697808 0.970197040450747 3.46122553021119 3.56739033612535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.14935608391236 1.17722093963555 5.37725130036657 5.56516811021542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.56665809111119 1.58387982967352 10.9344148681607 8.57721800545576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.6075767182489 2.6172340483193 26.7599324337117 17.0805440528185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.51478535489475 7.51407135083118 230.121401072202 84.6818905591572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.6977350495272 12.7069661850277 664.49434543677 220.69233148045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.17938679342281 2.18250862644392 17.1436355034135 10.1476153253188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 4.0681922349046 4.06775913932517 68.2703031711238 30.2258682941434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 8.15986687615119 8.17243657751848 272.931199858592 99.8908497940546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 25.2410245325937 25.3074619351419 2677.80138854564 833.955095341116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 42.246384836544 42.2964148567547 7521.09741277174 2286.25176917981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax FunfzigEstimator 0.900704851548331 0.418570821552236 2.17426553551024 0.632770261263925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax FunfzigEstimator 1.09879508954215 0.620294063498143 3.37921033894905 1.05908756281237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax FunfzigEstimator 1.51750193102705 1.03332982158591 7.30891024384613 2.39281927540206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax FunfzigEstimator 2.61150062919122 2.14692937698335 24.9460774397216 8.20673380622398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax FunfzigEstimator 7.63846580790574 7.32861331636069 240.972658293672 75.542912340823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax FunfzigEstimator 12.8605914549657 12.6640262271546 696.571133037005 215.020955227139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax FunfzigEstimator 2.1247456493745 1.53390529824897 15.9472252803632 4.65083692409383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax FunfzigEstimator 3.89421479993796 3.31798402990239 59.9901238382528 18.0650992588232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax FunfzigEstimator 7.70387917628495 7.13890299255466 245.492980079923 74.314610464383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax FunfzigEstimator 23.4770363380392 22.8100257351897 2335.23640564788 692.842407805195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax FunfzigEstimator 39.5350374764475 38.5862775507712 6644.30259746204 1982.84281724636 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00181149740338362 0.000719461671622239 1.51798096026314E-05 1.02972658309819E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00651260503465225 0.00224098008439939 0.000191704393264677 1.10739375200451E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0131731138449604 0.00454872212908786 0.000780306834835707 4.72686627154043E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0213498581594563 0.00738890352150056 0.00206756467837799 0.000145609608441416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00626486548726712 0.00277589767460777 0.000157165805839045 1.75115588902179E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0244409473466764 0.0122314920147164 0.00241074885418505 0.000195954824164466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0496887718925007 0.0255655982900056 0.0101980028534064 0.000571793685318678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0738442940118756 0.0383766521896938 0.0233900760786187 0.00118795660380879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00306546792498134 0.00354674720261071 4.59560553126251E-05 5.19622579959537E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0129862153791328 0.00601377169546918 0.000740519246193356 0.000144833823331462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0300453062248004 0.0104736227917263 0.00396188423239734 0.000414941748267568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0529888481098008 0.0155107208872262 0.0124591460635459 0.000843786112142925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0100826751687262 0.00689691223484567 0.000310185169027182 0.00014446816067141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00793850986649454 0.00379990845010056 0.000260527875245203 3.80614403209504E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0135108505500005 0.00490267133024595 0.000809405059270406 5.70514453686788E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0214821549874822 0.00750399740351193 0.00208645493626248 0.000150978329263378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00826765737776372 0.00509088405935284 0.000267619703243793 7.05864019537462E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0245253331427276 0.0123112038361911 0.00242723794001951 0.000202865768372408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0497407001841935 0.0255968712929231 0.0102189659179779 0.000574896779201624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0739121292131907 0.0384064320074772 0.023431970830677 0.00118816836289482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00674892866549352 0.00526357770081831 0.000147204895590614 0.000105697206898869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0131587827780237 0.00613674582338631 0.000754791323572634 0.000150412281576009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0300748817944835 0.0104738011605719 0.00396916190736133 0.000416183442679137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0530239217788587 0.015519574556195 0.0124756276223383 0.000844799001761312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0198685991883499 0.0137140642531494 0.00114466215584479 0.000574230697339984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0106965871518449 0.00639532540429829 0.000433671938300596 0.000117680455893423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0143167696953189 0.00577813132201551 0.00088220436581773 8.41438798940278E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0217462086243608 0.00778917488640199 0.00212318177149631 0.000164088699526202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0130584138313626 0.00890716396592667 0.000605629109681678 0.000229609031036053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0246486174040321 0.0124694199126289 0.00245644333319399 0.000216897549407769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0497414107797139 0.0256195761221529 0.0102245496153534 0.000579413347442316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0738906751975239 0.0384000197773292 0.0234271285465769 0.00118859350248629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0114870051226809 0.00834576510334884 0.000401156271673008 0.000251962762636023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0135902099006996 0.00659524462482951 0.000788916566203646 0.000169317905779289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.030115163507574 0.0105070858748135 0.00397731152379009 0.000419832921776512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0530148128661317 0.0155271536477188 0.0124748878520007 0.000845783955891489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0396216723250492 0.0273108995984563 0.00447036528310563 0.00225653944680124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0177864203528572 0.0119767477316035 0.00107416287934008 0.000433078442114063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0166208237507299 0.00826370432274403 0.00112981327650683 0.000189424688772759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0226980514106948 0.00882289330625781 0.00225947998149357 0.000215287552686038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0243629525747052 0.0170492623061923 0.0019256174898454 0.000861467551957755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0251770452328374 0.0131416635507535 0.00258440287754099 0.000268425798156479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0498637673777329 0.0257443281007307 0.0102965528977861 0.000594518002140194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0740393259119101 0.0384774291841843 0.0235416588172219 0.00119169645556654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0217047546100229 0.0151976081049606 0.0013853947874056 0.000791839255561266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0149861697189275 0.0080783412688465 0.000908589325171118 0.000241632332159654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0302728484943134 0.0107288973473072 0.00400430556896299 0.000438504669153572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0529229124727437 0.0155751642298971 0.0124467100725244 0.000852945711666995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.113874845073119 0.086352580913232 0.038309375044413 0.0200320987840767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.049556475859238 0.0351111676594977 0.00737488913320985 0.00371273196383331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0313272318806665 0.0206537392876278 0.00343473358572118 0.00128271319699102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0289815452703019 0.0155903514729125 0.00338759680360443 0.000716848141058041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0704789278729407 0.0519471604865389 0.0151847870310836 0.00761432799872016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.031330457126089 0.0190819156460832 0.00392808998996839 0.000803245403042852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0503379082727721 0.0266992741570721 0.0105923989200052 0.000736566581449465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0739725482027846 0.0387394839722174 0.023591906519693 0.00125398206997843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0633873255012569 0.0448276981214585 0.0116708277658773 0.00610847219283892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0236266192610005 0.0164505819140106 0.00196400018502868 0.000921843552995163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0323220520230663 0.0132898695321003 0.00439288991904698 0.000637728720501369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0530913695266949 0.016308759723985 0.0125525440795319 0.000927086884383917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1819810772626 0.151353338559652 0.105111250280918 0.0557755649577802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0808112819627831 0.0593871032641274 0.0192744289234796 0.0102247837998486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0488702756336402 0.0337507072995997 0.00773783294730622 0.00341380032346289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0382666735140978 0.0236817295139844 0.00546385271359338 0.00168038010061103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.114076259673856 0.090083667822931 0.0408060228479494 0.0214294166363796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.041859905128949 0.0273925879272126 0.00663444260125499 0.00190776696863095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0516415176789279 0.0288736122557957 0.0112408328054731 0.00101424773503247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.07404898304026 0.0394059507260876 0.023749569481428 0.0013905985823435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.102386930700174 0.0777276824104949 0.0314703839964335 0.0166146957432877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0341548861029329 0.0257521143500583 0.00390114141230723 0.00218419945857965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0355744164288638 0.0170628636854253 0.00509613915894692 0.00101521598906874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0537852474242018 0.0178383859748424 0.0128411289113261 0.00108579724792649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0340033980422503 0.022977593801993 0.00332887916579932 0.00154001658884001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0158214169918595 0.00971425469750897 0.000871270765753659 0.000280444986796561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0158573610682523 0.00710096446227196 0.00105297701276639 0.000136081482508358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0222716803298438 0.00824483806353585 0.00221456970768434 0.000186728471857238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0213569816405659 0.0146027002760404 0.00152905419188984 0.000642038273405964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0250571006941601 0.0127293172256622 0.00255414977111387 0.000234174435657497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0497881526391852 0.0256621669013046 0.0102655163744238 0.000579410967389904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0739276241008407 0.0384210842396578 0.0234551450395827 0.00119081014931715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0184474638896577 0.01345758402427 0.00104028781833323 0.000626522378000944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0146889263658602 0.00739680487183461 0.000878509796640018 0.000205162695378516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0302417380891087 0.0107930638335446 0.0040053702280699 0.000435787123887372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0530616851131599 0.0156188293450103 0.0124849276368967 0.00085072219186661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0671453400159644 0.0465164351364019 0.0130213291890482 0.00606668244899907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0291596244618932 0.0190258997436214 0.00269218641527813 0.00108140692734731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0213690918396791 0.0117444517886914 0.00175197364319548 0.000398297485898367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0243775176721495 0.0103850219412283 0.00256452022924358 0.00030671214594238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0409049966217011 0.0290327098850951 0.00534068672207816 0.00253358346561585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0268367973931422 0.0143901256204733 0.00294268273771516 0.000353378632972723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0500929303845903 0.0258947630412838 0.0104188005603141 0.000609283590923615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0740881032543115 0.0385430769827793 0.0235695183727053 0.00120459396134548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0358691906924362 0.0259172839016332 0.00389437596608329 0.00219327413270002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0179870223133195 0.0102627542653206 0.00121099519069879 0.000369762138622064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.030771843788158 0.0115621586016112 0.00411239317609517 0.000489823088656348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0531649763123089 0.0158636128152472 0.012526262823437 0.000871847074615837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.128733281164433 0.0981057529447317 0.0504565723678827 0.0244732965104284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0565272866308048 0.038189475032404 0.00959805067396929 0.00426553188281114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0353331651759914 0.0220174281581874 0.00429267206109283 0.00143706810565453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0310972613294087 0.0162255409414761 0.00384682227290573 0.000775269893287963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0786951459958523 0.0602363582728544 0.0195793677572198 0.0104391024903885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.033829841149217 0.0199060244388855 0.00449522584585335 0.000854630281462042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0510103646082763 0.0268673492326249 0.0108673047136712 0.000739749661626472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0745337271482247 0.0388802524046556 0.0238457924203417 0.00127030458058167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0694873387202266 0.0530439606683629 0.0147631122416796 0.00841314709988786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.026237425856286 0.0170145310942998 0.0023783882897283 0.00096790214849749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0330154054371905 0.0141108715919922 0.00455411200930961 0.000691913546296255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0536238512680008 0.0167609730047892 0.012713631352284 0.000952156888118058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.361404294522585 0.323873568484695 0.478669624285108 0.216824194184324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158665894324925 0.123327622762726 0.0780216464784553 0.0391898495144739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0955837229137083 0.066957609065502 0.0282569868000223 0.0126031652280765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.067939310576798 0.0440416198261115 0.0154481417982273 0.00563596557676564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.219774763108436 0.200222434414872 0.173289909684557 0.0971726216561361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0752179651836223 0.0507155316569808 0.0196304514381437 0.00681008816673943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0614689895999599 0.0378546098362078 0.0156262450779455 0.00236097072697509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0777504702788965 0.0435154806147942 0.0259739785503267 0.00208316027827913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.194891567570633 0.173607239406354 0.135428220112496 0.0739839645562218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0642042740519482 0.0476983581622684 0.0136136092900491 0.00696510942866101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0472995309209105 0.0280502267830626 0.00842899611286936 0.00259149641014903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0588367351737097 0.023729043695672 0.0148047152366739 0.00180743879255785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.593593321209354 0.55565852921355 1.39449436576791 0.584634313624724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.252895610783336 0.214046844469423 0.210820882280853 0.106881357550682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.151317581832031 0.115739332993768 0.0711108894639989 0.0349693467800267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10559957524355 0.0742965344853246 0.035294554838791 0.0152177726650434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.362530595745115 0.347178403681364 0.512743087048349 0.265742757179363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.119762915673125 0.0897773157214659 0.0484889621588408 0.0207094869748014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.080508033117949 0.0555168855678643 0.0252249990934487 0.00623244330752699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0839422336683446 0.0532126663593388 0.0299652096506926 0.00408623228109206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.324372723016565 0.29581429799877 0.414728983939084 0.197286223499213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10311818746122 0.0816657279991804 0.0364124023752091 0.0188966401195869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0655173320627571 0.044679183846589 0.0158703302638553 0.0064805646115985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0678519311870545 0.0336654209430966 0.0190714760071487 0.00365108492025291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00219638019168996 0.00276048559306838 2.04780256744168E-05 1.19674949649982E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00534266216050324 0.00761646256691764 0.00013771204199403 6.51385314481348E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0101829372115878 0.0147874209044144 0.000500789337560449 0.000239272713650267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0156176187192839 0.0228569868569794 0.00118243457677609 0.000557061950276427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00197438198676599 0.00414770802536989 9.28248348766106E-06 9.15396960897061E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00994996865214367 0.0179417551664804 0.000161566979034612 0.00173981802616896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0221639950016322 0.0369893804051425 0.000734854236927836 0.0072889976366208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.036302072090816 0.0568519440991812 0.00206827624098185 0.0172155341493118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00397715350703587 0.0107897489076862 7.42169907024824E-05 0.000296387477097854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0160114742647865 0.0289812910750839 0.00136829649250084 0.00186472587262761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0345935145001117 0.0603704455754155 0.00650260357812706 0.00871041517053661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0575888845510699 0.0985086120745955 0.0186039715500023 0.0255427205520224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.011265591337121 0.0100393581581566 0.000390938326721267 0.000265769964917567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00717753568024839 0.00913003979383507 0.000219273006884635 9.97632231236908E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.010612913615544 0.0151998124804814 0.000532096998308516 0.000247995857488075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0157665857661872 0.0229525831581426 0.00119856918029559 0.000558613310169733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00681663272939406 0.00789416371233015 0.000113576920889056 0.0002303889220728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0104679673412055 0.0181819907220652 0.00016764856429637 0.00176572331864848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0222272433263242 0.036972382163634 0.000736132574468184 0.00729051738858225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0363350200402654 0.0568014039199792 0.00206793957078661 0.0172047887629148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00765412822755704 0.0120894482220261 0.000208378533188541 0.000356967126592957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0162410663479955 0.0291480179611364 0.00138989014706547 0.00187370072719264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.034641257336333 0.0604107141845065 0.00651237984211246 0.00872903807787539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0576141743656043 0.0984767046092133 0.0186088248702521 0.0255208064758213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0221650930505115 0.0195746386795689 0.00145306569181288 0.00107195997248282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.010699660403055 0.0117160503106228 0.000435272480298103 0.000214462149559978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0115885831336558 0.0160690874720963 0.000611551400317142 0.000281287529673442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0160860874778001 0.0232908277058794 0.00123606809721633 0.000571190053130064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0128971956745814 0.0130318857187696 0.000439769587760729 0.000577620796102009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0114245749087129 0.0188031517611464 0.000188002784995429 0.00183048114494519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0224295385202961 0.0370481374951409 0.000741420921128847 0.00730936984157715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.036404331923963 0.0567892686509234 0.00207004008155326 0.0172049783755777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.013255814160555 0.0150619522007842 0.000567240004382537 0.000539743754181916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0168258516711068 0.0295416240498847 0.00144531565396396 0.00189461576138182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0347477279370945 0.0604705175322943 0.00653333738876744 0.00875132846344349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0576526734719653 0.0984576809986108 0.0186191219874461 0.0255021476190755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0440879904592681 0.0389635916620584 0.00566875343036748 0.00433439316365322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0191492487923214 0.0184958297154679 0.00124180011179224 0.000716696862616994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.014750326475699 0.0185091439354166 0.000908621585091554 0.000425897532764118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.01725435959201 0.0243688497221626 0.00137788465729887 0.000629819925993999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0254462694804103 0.0244234277340731 0.00178789456807836 0.001891120823347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0137836221381806 0.0205889992317362 0.000274265708139273 0.0020385736951792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0231005036667297 0.0373807454562359 0.000764206838494667 0.0073854286353014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0366297388803525 0.0568421566692506 0.00208145667197776 0.0172299349691226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0253581244721168 0.0228825994801344 0.00195110942001603 0.00127351825243328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0185652951124408 0.0308455234340025 0.00163026464354149 0.00197239816583822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0351074745050472 0.0607673831566474 0.00660505338734483 0.00880838475808903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0577547550369345 0.0984586273658991 0.0186528199286679 0.0254744564884763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.131088871198901 0.117434921253782 0.0509729871942385 0.0380343482194992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0551654553729123 0.0500945283024174 0.00937186446715717 0.00657434567829876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0327868314262813 0.0330421431859206 0.00373003623008923 0.0021710138845308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0262365789538469 0.0313981762842667 0.00274459952529388 0.00134455894414268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0759476744902759 0.0715663176310543 0.0169345682826388 0.0149466460558727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0257301134976696 0.030292040996695 0.00129746832943506 0.00364880154871097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.027286594784597 0.040475526352938 0.00102718806683661 0.00811750961667386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0383794202948085 0.0577635511149474 0.00222173512532149 0.0175956529609072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0745170871611689 0.0593545490202111 0.0165749263954518 0.00906303838687998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0286560976964142 0.0387660539398951 0.00315725622772893 0.00276719993078197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.037872931158667 0.0634715837107049 0.00720610129442402 0.00920667261799768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.058739174637787 0.099379359495524 0.0190006919759815 0.025510896650046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.216679302735576 0.196769027255562 0.143979034275149 0.10004682665406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0915275761760459 0.082731889233705 0.0254752003688146 0.0184482454543044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0527733828474277 0.0504054932605347 0.00906952964128198 0.0059073821646807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0377387043752092 0.0408029217544671 0.00521207807905913 0.00287624713626522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.126379408437413 0.119532248032823 0.0489069236722322 0.0400123129118422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0395960161133957 0.0423431978152014 0.00353387543727613 0.00650667296786662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0326155603104255 0.0449223642055599 0.00159287354366606 0.00935749110009785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0410996496029528 0.0596727766123077 0.00252767532459575 0.0183489927774362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123152882413554 0.098476034283262 0.0463278150572338 0.02456489665807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0409695000238038 0.0482023256907071 0.00590866708555086 0.00433733206983107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0418201596464681 0.0672056607581868 0.00822185962872181 0.00984365823453192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0604086525679721 0.100832156731902 0.01967517041876 0.0256996996359925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0362187530169317 0.0320423000132389 0.00414811983963923 0.00309936300254141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0160246714158399 0.0161238890282103 0.000928248431118199 0.000545821565894415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0137200119883219 0.0174726686474414 0.00080164513835512 0.000383470155853159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0168965354116679 0.0238681251096032 0.00132572240398367 0.000618643298690642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0204278014834107 0.0207531514396981 0.00120259452974391 0.00141127886909062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.012992328845306 0.0199234463479675 0.000244931457537299 0.00192762944896664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0228575214031321 0.0371819062990342 0.000756378839042358 0.00730970946805461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0364268200369059 0.056914923638644 0.00208139351244448 0.0172188868848902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0206689733355564 0.0207896895842113 0.00136376597766963 0.00105643379831118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0180410846117629 0.0302855936197189 0.00155628471993642 0.00196730116211127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0348311300629325 0.060596587413551 0.00653968619677443 0.00877349675970559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.057600324768052 0.0986467202101488 0.0186022761822173 0.0256380710738559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0720017753772041 0.0641591700661273 0.0163790243768315 0.0124380667339873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0302280998194541 0.0285441494095631 0.00309531510197339 0.00210993565875687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0202199228658209 0.0223640129582767 0.00158671239909296 0.000840021349458725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0197514182148157 0.0260823382130141 0.00170764718970668 0.000815169785108525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.040640029023382 0.0403967334996376 0.00490555023459931 0.00512312726050759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0173967567047516 0.0235330148156452 0.000510555312370424 0.00239897663807849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0243049115536687 0.0380176837856963 0.000823786537721767 0.00747242603790924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0369803037309046 0.0571519648499984 0.00211901603910964 0.0172816590050067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0403935541121436 0.0354703331327302 0.00505766301126432 0.00330914911518222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0215838600281225 0.0331370634144084 0.0019907646249352 0.00220993291879827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0356794180111615 0.0612065324295139 0.00669838540551642 0.00887565805374468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0578531936277059 0.0989680735775412 0.0186857192616758 0.025750607364943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.141402705676202 0.130329639003232 0.0642381039680942 0.0496221763797336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0593248095713667 0.0550847677281201 0.0115153197957564 0.0085977065052983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0354799196106771 0.0352161697012545 0.00447862920694218 0.0027996852497729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.02790583573187 0.0322278443527064 0.00310285291168936 0.00163891940347175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0808084044249961 0.0808326266441067 0.0200780858586545 0.0196735828780931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.027708823917078 0.0321509487057186 0.00165357677795502 0.00399446580913761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0279766305126535 0.0407152656621218 0.00110902220768438 0.00809846201690568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0387607284237637 0.0582379005136669 0.00227407046138311 0.0176271041793375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0795964390682447 0.0670411629679462 0.0196565449575541 0.0124339515424172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0303058284603406 0.0406633857765578 0.00347480113342115 0.00313672726058193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0382932353705168 0.0631957811430645 0.00726026106350998 0.00922447658391468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0589390255810313 0.0998450828774959 0.0190869943624322 0.0261102809387094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.402724227398862 0.409178334613018 0.587208224714875 0.423955527689888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.172316703726626 0.16659002919745 0.097131597611082 0.0768454807946931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0997772312656487 0.0949815797491916 0.0328568807011714 0.0250776589976344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0680829603841653 0.0668644514303643 0.0160849656445217 0.0111504261417552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.244064358119692 0.250853331673161 0.203439787796681 0.174895809436124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0765632217970012 0.0783736658382735 0.0161808147244147 0.020240556227949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.049120491229755 0.0585492749668566 0.00477095304007012 0.0143422571003763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.050232474763285 0.067360838417069 0.00421991849691121 0.0219068035328924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.233305196991143 0.20481834653706 0.181941340903103 0.116125945478593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0719731841246501 0.079601510937571 0.0177747148473961 0.0135158359600967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0536362158720751 0.078302007282039 0.0121362672408299 0.0130813257943267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0674050136090636 0.107905227064379 0.0231923367912162 0.0302893027879454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.65853269444946 0.693163851037791 1.71711186196762 1.13204830008525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.277135120947846 0.280491696238263 0.26026613178542 0.203825153957027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.160661002890834 0.158385923105633 0.0835777093876815 0.0685940649364071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.108623683088169 0.107020491859426 0.0390399449257567 0.0308716086347672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.423606238271594 0.42972665460893 0.671278228483729 0.483331593138524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.132113941958216 0.133695840324503 0.0526415275437681 0.0560221020559181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.07775992073516 0.0853447900347137 0.0143657347201216 0.0282768142605811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0679439243729019 0.0832147688265432 0.00924130335722963 0.0316968674054299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.394174680689611 0.35447851912266 0.565679148697658 0.343881310497193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.117781198106836 0.127400187123834 0.0481788218347418 0.0372431068280584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0744514791285982 0.100807243805418 0.0225973026451733 0.0230168237219805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0814522360488352 0.12361930542066 0.0329907680793766 0.0415905098300863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0031096291656519 0.000398747825306121 4.70128660801449E-05 6.56541221687919E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00918498262982549 0.00126002881167707 0.000403454781748527 8.90251801834671E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0165439850337196 0.00328013881992331 0.00127473411854051 5.85026804164129E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0245737965511486 0.0067332790089274 0.0026719232348745 0.000237006447553092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0109745783533916 0.0031299008925906 0.000107086440872925 4.30388130272476E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.043413217739867 0.0114413316314802 0.00165592487405504 0.000573847924396066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0845595220243241 0.0219163314398942 0.00620983653274718 0.00209690984166299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124677920095042 0.0318184190289844 0.0139624398764594 0.00442562287420573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0186130927340055 0.00376578972228849 0.00179516732976793 1.67180673236284E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0671612196586544 0.0122746611106616 0.0238044249478209 0.000151576666440581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148297048027964 0.0252647709497416 0.12356393003319 0.000950150851805409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.241078963623566 0.0369015855411125 0.351060814776476 0.00305030796999237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00945238548142422 0.006714052039807 0.000316978319823044 0.000112716065697399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0101334630378738 0.0031669357860241 0.000469303382686468 3.25769564718049E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0167504542795004 0.00379209782869393 0.00130129154208308 6.85391039446818E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0247107063982445 0.00686753446629746 0.002691792169684 0.000241723591270429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0119442920015702 0.00496389245699979 0.000158652493860067 9.33601346674905E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0434330704300482 0.0114774416822236 0.00165830707214208 0.000576691145008892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0845382780678146 0.0219218640406967 0.00621231699531285 0.00209727299688162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124640210839297 0.0318184161108846 0.0139666328249602 0.00442511550732316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0196148741161368 0.00603949102165653 0.00191386587868728 5.08422912780579E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0672441578986756 0.0123356429399794 0.0238240118095686 0.00015332063468831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148278610517498 0.0252763802572729 0.123530254732382 0.000949478929961904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.241055657818572 0.0369104576283089 0.35101641856766 0.00304986131813039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.018095183336045 0.0133989295347462 0.00106839038980939 0.000441505133791383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0120775103977512 0.00576426655608318 0.000632269391896023 9.46862635775816E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0173655151257098 0.00475906869153201 0.0013736722092254 9.29849982737701E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0249434706572004 0.00721138302565052 0.00272985558278872 0.00025508568314969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.014640132615147 0.00866695246906825 0.000330210095745501 0.0002381240962268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0434969400051451 0.0115653922660274 0.00167276899547814 0.000585321575647539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0845325997337753 0.0219333450307245 0.00622072403910944 0.00209885646670902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124609515411978 0.031817601227065 0.0139757583506566 0.0044246864571187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0215046793764431 0.00978727307507207 0.00218175930862117 0.000165701167317253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0674037358075987 0.0125354248822481 0.0238742283661382 0.00015919417750044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148280290619715 0.0252965560584931 0.123520382829254 0.000949764915464028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.241051718457543 0.0369222872304803 0.351035230946332 0.0030504545744021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0357858062991603 0.0267368462074602 0.0040205742018408 0.00172099869944446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0176982935055541 0.0111869037759554 0.00123633080195385 0.000329023083997371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0191658350623623 0.00721786897945018 0.00161761164486692 0.000178359456410564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0256917000983294 0.00820172374007973 0.00286132749008963 0.000299966478120307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0229631146504013 0.0166687665645808 0.00111371831689424 0.000766508668991717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0438824552906591 0.0119964022771636 0.00174018662326013 0.000624213026174494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0845947211278519 0.0219561793315593 0.00626210398186241 0.00210356050294196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124644579514002 0.0318014783906551 0.014023688152755 0.00442074684876891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0270911398398874 0.0181369934352836 0.00314059938884343 0.000658071025263382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0678950474104558 0.0132931219340968 0.0240738600043711 0.000183986574303136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148497097019306 0.0254108300917893 0.123788485636741 0.000954107542620411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.241316876245535 0.0369836757470049 0.351825702622364 0.00305853446375647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106815914540164 0.0797743626136034 0.0361294574568127 0.0145627218363857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0462883445942117 0.0332126245902664 0.00721837317161195 0.00268401008077002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0311991735288093 0.018928077845262 0.00385291264488421 0.000981075943195545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.031218162836177 0.0141058467820248 0.00402481844187491 0.000687748294275745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0636760801245609 0.0489253321715039 0.0110975652962154 0.00579167142754606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0471205372795203 0.0166893093364452 0.00250242170117536 0.00107197111211224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0850593798871507 0.0222771793834289 0.00663848949015075 0.00217149569944811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124584895272866 0.0318405836406508 0.0143532746193274 0.0044316837349096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0566191162555656 0.0524300917493178 0.0121044875663861 0.00594622103053349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0708246513954664 0.0191244188603026 0.0254570744162679 0.000480077482012436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.149233085099859 0.0264117623339051 0.124749496980756 0.00100680079600106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.242024948185146 0.0373312191699392 0.355124748035046 0.00311994301981511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.177882830488533 0.13292611335 0.102494914728826 0.0391193034856407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0762773534384557 0.0552725938914199 0.0189110203796415 0.00722695513955192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.047076428586861 0.0311279426336 0.00809560809292053 0.00249318784463702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0394954805439838 0.0214503157161073 0.00616857440280483 0.00139967585556925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.106201291986972 0.0808459336593435 0.0328415087668537 0.0151647911173683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0537040077075156 0.0239979103252176 0.00414431682883482 0.00194037627932128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0862919886991337 0.0232543185160978 0.00740567275952346 0.0023441803553478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124973175588293 0.0319301010183255 0.0150114000346567 0.00446241437997411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0904367665131363 0.0863325525959864 0.0299090494664231 0.0161493087462646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0756798364417232 0.0270329792935681 0.0281012793836735 0.00113840322429317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.150745052329696 0.0285231327204147 0.127077924748749 0.00112830868161776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.244060638889185 0.0380803417981899 0.363533107366412 0.00326501494647612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0270981287855693 0.0208747797107779 0.0024369245721326 0.00114678326239597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0150199677264385 0.00874927481212258 0.000941383469297703 0.000223663781112944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0183011764562647 0.00613277409391142 0.00150983917633233 0.000142901030253441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0252497738611538 0.00782448344683599 0.00280587318449082 0.000284842779774874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.018901083541968 0.0126879269095924 0.000673468731386509 0.000496596135734039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0436120060737305 0.0119217178139272 0.00166828336808922 0.000619786210802918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0844651524479234 0.0219711846398315 0.00618156068394617 0.00210836626470421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124497052127058 0.0318249073572979 0.0139296677495699 0.00442954575445534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.024932204317931 0.0138702521029248 0.00272687900432359 0.000394227823379943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.067533965392759 0.0128421466033073 0.0239652117536907 0.000171238825578386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148162586244384 0.0252594599431596 0.123267221107919 0.000946155153125807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.240844905648349 0.0368695520758159 0.350418910298721 0.00304387938892964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0538489036591033 0.0417344809469365 0.00955307061353713 0.00444849434680856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.025161837243177 0.0172726693543195 0.00239605749613958 0.000822441423282998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0220007785514672 0.0103267559558773 0.00209339507412855 0.000353008379448332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0268251049413348 0.0097898882728866 0.00312487984511307 0.000393987473560498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0331008609511511 0.0247239930790453 0.00270954958346961 0.00170843585501892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0442640380413638 0.0131841646627342 0.00180089429534505 0.000740971276600869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0844497511427427 0.0220909743202743 0.00620410867130176 0.00213286761880477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124342168575574 0.0318450112948457 0.0139313069661725 0.00443668008519629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0352070506429508 0.0265950614716703 0.00498328228633033 0.00159775395140753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0683664603949732 0.0145517954014712 0.024362883180027 0.000238313531380602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148143457622899 0.0254219367094863 0.123115600728698 0.000952558384699134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.240663316950433 0.0368633833812085 0.349989406114752 0.00304413838762972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107758263584682 0.083263774605366 0.0390537430669629 0.016946215681509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0474605822178771 0.0343767448935601 0.00795847690366628 0.00311277983706743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.032585280159926 0.0195169149148929 0.00425369903846413 0.00112955644829601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0320810782778823 0.0146035751558084 0.00429585457979636 0.000763224967757482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0641143088228756 0.0488656509359264 0.0118554680629908 0.00618327145644313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0469900780106549 0.0177271891149049 0.00244144520180171 0.00121496162525906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0844874773572928 0.0226009685142828 0.00640237777314809 0.00222815326460652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124036796814191 0.0319712143958876 0.0140379899735583 0.00446641854060001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0590854041048997 0.0521396355861351 0.0133865641100023 0.00634270356954599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0710786608214412 0.0194448224539404 0.0257875447595847 0.00053483830371282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148426742194048 0.0263981918129522 0.123234201146137 0.000997817208455044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.240486579253082 0.0369942840668501 0.349781691975881 0.00306450019472939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.32644317951886 0.249107374654689 0.381030995753773 0.136727503743729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139554886683029 0.102296432102312 0.0670147587882783 0.0254985216561429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0841333136007757 0.057312559786081 0.0253580157676489 0.00861502034428716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0632981893966441 0.0376357212600579 0.0151394765731188 0.00414250027964498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.195508515340332 0.144478252321725 0.1253139863685 0.0489333013055819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.074539267073966 0.0434182922243146 0.0112503557786066 0.00563525446602593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0887967941831851 0.028741649440475 0.00937947388392861 0.00331162084514962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123608575750384 0.0331852689024828 0.015900914225907 0.00474301033924099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.168900273881864 0.151232878274306 0.106829792696872 0.0522684751233282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0929063285482942 0.0449492898110812 0.0396812015810695 0.00409551657957767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.152749664490009 0.0339844521168974 0.128941387754135 0.00165974675969521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.242642261191482 0.0397731334633076 0.358722230129834 0.00342681652208119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.544288487018559 0.417058660669749 1.09451295964948 0.360377671808276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.230723282596307 0.168864694962388 0.184146343378798 0.066998728347668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136668568211254 0.094399952905355 0.0650795158968578 0.0224305208283584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0977493026072967 0.0615555790936563 0.0345860187217241 0.010345757833739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.33204888033351 0.244347885090911 0.381909790941227 0.133365514196763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.116166595538249 0.0719923914814988 0.0339995876980806 0.01400954338446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102054023910291 0.039813554202128 0.0169468163325091 0.00556516338011159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.126708741398312 0.0363276917700765 0.020724491405091 0.00541434966196146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.286855428820529 0.250020744260186 0.313650696705067 0.138597325331138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.123584073082999 0.0723499252850582 0.0665789087930663 0.0113816006482896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.163455966748583 0.044230629935227 0.147361933384867 0.00319751723647741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.251507586905655 0.0452616103167707 0.404023214860622 0.00452011205501693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00283153893950503 0.00334838087617764 3.34162271953609E-05 2.06644430692649E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00919809821076011 0.00888724976761163 0.000389552656064722 7.74640450884121E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0180118176705594 0.0164699887640277 0.0015028018769808 0.00027698016168966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0274630524882354 0.0243208443521483 0.00348143181981587 0.000641955793028975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00323627958249116 0.00555048248121381 2.30485392871337E-05 0.000159680837568702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0166247542791814 0.0239335927267772 0.000475250234377312 0.00295621893675227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350315863554726 0.050913795390718 0.00196891859874115 0.0129859618883119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.055392991149153 0.0805079122992672 0.0050680924100553 0.0322576779062412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00927842671817387 0.00586307730826912 0.00039073276872625 5.19305783270072E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0252115403680958 0.0245425199744181 0.00344139324635945 0.000778749957908796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0532431986914189 0.0539056359067563 0.0155395685381763 0.00393333560565808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0898225748313648 0.0896284899851387 0.043953580757636 0.0110849540140995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.010017019489421 0.0104508401107265 0.000339018943180165 0.00030543984831324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0101772520455283 0.00997308075345245 0.00045907717203409 0.000122032358788963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0182211930964971 0.0168218337788029 0.00152787206663947 0.000294634737954212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0275159774648325 0.02451143545798 0.003490224382125 0.000651628668910941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00670855713807821 0.00902846842097816 9.23690956141893E-05 0.000318542227142142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0168114112673767 0.0240969079610063 0.000478386361020067 0.00296839235778511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350434394652474 0.050895095782932 0.00196885674343897 0.0129689021177003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0553780141621386 0.0804726822617032 0.00506704404794434 0.0322277033272595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0108633880935212 0.00874731686061825 0.00048359115648571 0.000141763554072983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0253803002641683 0.0246129647336824 0.00346549175996153 0.000786475176343652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0532465097974826 0.0538861225500934 0.0155397725752329 0.00393323233875975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0898405767684342 0.0896049360572061 0.0439700498331602 0.0110847021034993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0192543040755057 0.02020548676752 0.00119768973084466 0.00119426312204311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0123233471453736 0.0124452919441998 0.000643685636422105 0.000254500799091536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0187616382764267 0.0175967007700012 0.00159810822844466 0.000339324726889585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0276925015275497 0.0248554698340839 0.00352178010999837 0.000673595237748066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0114335130583558 0.0143755539603398 0.000314888523387828 0.000730119403753054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0173902741443659 0.0245141105169975 0.000495109406431356 0.00302014739524003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350904725641847 0.0509035087996321 0.00197286918267725 0.0129629147347132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.055375884148303 0.0804398699133066 0.00506865563119118 0.0322025434571608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0139491468304289 0.0137824805150903 0.000716245648532647 0.000429080091576119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0258770650313865 0.0249312308587483 0.0035308277728621 0.000807048273351757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0533255190985951 0.0538878545623669 0.0155587902734411 0.00393687564290738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0898723317044581 0.089597839133332 0.043994405014189 0.0110867945013334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0379655406130658 0.0401019836008142 0.00455294949086854 0.00477944272359879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0184349060205786 0.0193597006189515 0.00133043619316616 0.000820655693378634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0205172616258031 0.0196958252162982 0.00185226233215219 0.000511853180395932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0283381791242989 0.0258676100783506 0.00364106886989087 0.00075442312721317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.02163140834937 0.0262381953958734 0.00125096215789468 0.00226876101232392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0190773269161802 0.0257404465341317 0.000567866401481731 0.00320476283701878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0352943881993666 0.0509563725192167 0.00199077061737907 0.0129602789717676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0553294792086417 0.0802824688047744 0.00507531964026344 0.0320960424673211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.021255198238109 0.0251524312150274 0.00152763842214855 0.00163955322546267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0272150065445213 0.0260224951959359 0.00372032812397385 0.000886973213765078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0535490062283644 0.0539363710618069 0.0156031214436048 0.00395297305098401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0898734350089167 0.0894923880487028 0.043982616654878 0.0110906861101604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.112097674770566 0.120778081374893 0.0399964245325324 0.0426963685512458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.04841095959367 0.0520150424489366 0.00808239699368113 0.00739816478745616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0327291450977009 0.0341893038021626 0.00428750590540773 0.00247710830871296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0335450951799418 0.0324798957557112 0.00483527283867396 0.00160327522890113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0638789507533068 0.0756592356332423 0.0119640926760349 0.0176422095208046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0283397552029908 0.0347237243130757 0.00142400368277513 0.00506130396615961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.038007782324243 0.0528235302714511 0.002249792272136 0.0136102953855104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0563177444272932 0.0810110694495128 0.00523791992962378 0.0325237976811983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0542342315641028 0.0733163500085771 0.00950438999188866 0.0149811741794993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0347965524919161 0.0340327833129028 0.00514876988050136 0.00178205513455609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0556821950342343 0.0557075048333364 0.0162899450775809 0.00418933854639649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0910448392419117 0.0902245394718291 0.0448257942992436 0.0112549858337547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.184546869133154 0.202690383049191 0.11048246417501 0.115947129087702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0795230257512727 0.085931118815615 0.0210723430045086 0.0208459679564636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0485027387215139 0.0522236647446208 0.00880951512066062 0.00667438776689632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0411080443687674 0.0417707461743562 0.00697329773297203 0.00336041225163074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.106741924694288 0.125229378249909 0.0347624317181229 0.04701757332086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0396500929600059 0.046950110706297 0.0032779283426282 0.00849194114354494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0420389405861257 0.0563419805209358 0.00278658509786878 0.0149376067298898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0579386107147811 0.0822879941333999 0.0055626764327212 0.0332850422865116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0887626401328398 0.121907087987767 0.0255707577829472 0.041316535679179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0438729565902943 0.0449816567798744 0.00745351402247106 0.00367521229450035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0586508719400066 0.0586519317820571 0.0173060249655757 0.00466584036848834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0923941075755794 0.091167366234187 0.0457848864471905 0.0115370671328468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0312161007089884 0.0335353251871172 0.00313344262499928 0.00333588236706017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0164802753961573 0.0167074198925818 0.00107982942542095 0.000570758706150832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0203069657516597 0.0188170714323966 0.00180034559962731 0.000424865440336132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0284328077639031 0.0253736543423929 0.00365059933170766 0.000707189571952364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0177569153357098 0.0216757990618697 0.000852459139378136 0.00156176546097153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0182481455389278 0.0253834233392945 0.000533496613790665 0.0031770630584919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0352263431916681 0.0510593366658343 0.00197786974994697 0.0130491213368261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0554690927901407 0.0805399342913889 0.00506244142355345 0.0322886675128086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0180057159762032 0.0206624487511824 0.00117224061694275 0.00103514800478966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0269263948876267 0.0257569827308051 0.00368161715686294 0.000837190753750807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0535767677025346 0.054086743352999 0.0156163093734366 0.00394630647810467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0898968559112787 0.0897646119821656 0.0439361262072884 0.0110934012977668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0620718774603318 0.0667230744964303 0.0122385648378643 0.0133432246846245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0279543910137737 0.0297168403698643 0.0029048695400155 0.0022234458698446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.02456032716762 0.0233713925830259 0.00250704804905038 0.000895219043894448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0305430947324174 0.0274544318493834 0.00405566053004201 0.000912016224984833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0346670999141892 0.0413311468845786 0.00347373258257025 0.00540138524067708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0213164868318298 0.0284279034398642 0.000724743303453077 0.00371697556445259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0360022755438077 0.0514835465950546 0.00203063255296669 0.0132221788127282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0556834404349305 0.0806756000336279 0.00508281579922187 0.0323899767175799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0307357442374452 0.0399697679807107 0.00323495078093006 0.00421845681388429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0296131311285977 0.028186091482311 0.00412842012167023 0.00103570551701093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0543293478516495 0.0546645533797788 0.015816118841339 0.00399885352978923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0900998927991157 0.0900360293776446 0.0439970211226032 0.011128752723123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.123039017390679 0.133708655247354 0.0481661152285726 0.0527791713414003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0530589508560927 0.0570415862798506 0.00981031160680186 0.00913548583881653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0357220829517288 0.0364217176522016 0.00500454804905773 0.00294323340238982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0357600937008071 0.0331482887745138 0.00531764111831426 0.0017593419084057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.068818803422251 0.0817652689991811 0.014282971050672 0.0202827942078769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0288740824101551 0.0363819449952638 0.00152932317403961 0.00551955912589059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0384023967094628 0.0532088722420263 0.00225816216673047 0.0138832878180233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0564926149040694 0.0811761749979702 0.00519562174437179 0.0327027725645977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0586142713402688 0.0792497217141004 0.011273221842541 0.0171678750215803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0359595179226277 0.0349711308043964 0.00546831562504984 0.00188375994537254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0562564713651172 0.0563443686037708 0.0163809431456523 0.00421620900045139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0906301035182662 0.0906928152546448 0.044163964445271 0.0112572818558073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.359489442807415 0.404977987262839 0.441816067563783 0.430620367272826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154692378930556 0.167138885153144 0.079119159996109 0.0811313505767078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0905740509634232 0.0969207142516425 0.0287611703344876 0.0262080279968238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0661547221084643 0.0682909969594853 0.0166283319633799 0.0116534639115121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.207609990566637 0.248119351486124 0.142796861788398 0.172351746485268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0672579632316717 0.0797289161448525 0.0114253044833507 0.0227463658052559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.05451225828353 0.0690257855809211 0.00513093116381047 0.0211161683717554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0651929566045238 0.0881592880968343 0.00686236726457737 0.0375873371497882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.175328685629756 0.238451133639282 0.102615211205883 0.151851131923761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0686510556587016 0.0735600901089983 0.0173613206100593 0.0119496512988851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0681180679215329 0.0687905808649843 0.0214284330432958 0.00691502007400862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0969096361458112 0.097064801142669 0.0482664030331646 0.0130396408528292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.599652193287077 0.669719996796806 1.31590436236508 1.06736961611952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.252944897925977 0.278679564776668 0.211365749640855 0.214978562789473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.147229781949097 0.159227810284494 0.071749736964727 0.0721175005681074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101830770643799 0.108040356386214 0.0366112368584401 0.0322726035015841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.355582612932405 0.426011347535078 0.450873057755522 0.47604394632934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113802160086747 0.133482717528311 0.0356413231051081 0.0595364729994221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0773952857005732 0.0938665911581897 0.0121945697545627 0.0365114238246994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0794134251281066 0.102322792532603 0.0110100121899333 0.048913484129227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.299997552505164 0.404027085900182 0.319852413725513 0.415955299718309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107624081175638 0.119931883827957 0.041591379842868 0.0335976184989822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0854224278906125 0.0892368638325399 0.0318978775526376 0.013424195744128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.107609190440633 0.108437894098891 0.0580258259479141 0.0170977266165971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0027472546887403 0.00201635249030776 3.48780226148758E-05 7.75139370370249E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0102631605061488 0.00472178587237518 0.000491630892211914 2.02525242667011E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0205678537726938 0.00843594115199015 0.00195822665922525 7.04005569131228E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0322158361507953 0.0126311000629618 0.00473359670947383 0.000176641996851006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00458935601697061 0.00424402171820802 4.23920403345654E-05 9.15728685743767E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0217104002500022 0.0224563989695401 0.000829294427887373 0.0022980911927037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0436217385612406 0.0481846429663241 0.00321371932220816 0.0104854772011766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0656867317107395 0.0753649544632353 0.00772114877124008 0.0259178146100774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00647797629144282 0.00682962877486248 0.000205497678593309 9.05817772566627E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0268532596979726 0.0167949856350823 0.00372599180654517 0.000444908911781118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0585412266739401 0.0362177138421752 0.0174276910122318 0.00200347588154067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.097357710911973 0.0623744316315146 0.047135149430131 0.00556197403176298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00908417096441502 0.01203145195147 0.000288267862646451 0.000387966523690913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0110011204876896 0.00679861217385291 0.000545278919039261 7.03597976041183E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0206970781297848 0.00897335660082955 0.00197543661863377 8.39582708291815E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.032253250754636 0.0128237894638851 0.00474053652886712 0.000181127050245387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00740513608136077 0.00912245388456541 9.99684360103386E-05 0.000291376786514116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0217562957359554 0.0224489448122934 0.000830221459456975 0.00230262682767441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0435958992534341 0.048157260462762 0.0032084659842465 0.0104784254915094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0656565222834375 0.0753600324089482 0.00771134497032129 0.0259149738143931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00852449856900169 0.00894414226090452 0.000305437768525141 0.000174554508543515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0269897657446477 0.0170072104216866 0.00374385356772631 0.00045420590426309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0585840695406345 0.036274119448764 0.0174310025984116 0.00200876737399176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0973568246469442 0.0624120708104723 0.0471144729036833 0.00556379772047311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0174297482742237 0.0239085547713828 0.000998728436635219 0.00155638578964414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0127209292351822 0.0109777871364575 0.000693565952390943 0.000242406703405234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.02108059781698 0.0102423576958746 0.00202995238936863 0.000130462455177111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0323799713491991 0.0133411260076063 0.00476638441966646 0.000199765711519611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0113988891234104 0.0158423287418956 0.000284447500717476 0.000796768078986888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0220376434153341 0.0227031651433679 0.000841871367707147 0.00234647947762175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.043602400921218 0.0481283664800103 0.00320707962541115 0.0104748795590686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0656329926883436 0.0753590465201189 0.00770413657757243 0.0259149713593617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0121728816213782 0.0136793420705907 0.000562845428266378 0.000441403258132784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0272875393355889 0.0176549378106272 0.0037873236295653 0.000479354942116502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0586487620483373 0.0364146980665083 0.017442584817238 0.00201821002495464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0973585422801291 0.0624701601641691 0.047097265391827 0.00556734652727243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0345248483345812 0.0477830468807581 0.00379811745048109 0.00623527531735249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0175431333702817 0.020579150331262 0.00123483102413663 0.000996031058934038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0225430583413074 0.0142239979309021 0.00225085201870795 0.00033686900747847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0329513220763379 0.0149797222221228 0.0048874671367967 0.000281115793731306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0204251339357134 0.0303292306397769 0.00107538821306186 0.00270148337661068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0230567697900334 0.0239152728196475 0.000897538486698224 0.00254899517826934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0437508573833497 0.0481667854853507 0.00322041848245934 0.0105084298611093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.065710013505421 0.0754645258252891 0.00770446759283747 0.025981059521584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.020890064128392 0.0249600428718042 0.00152253206377479 0.00154675631153494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0282020005213469 0.0196783618680402 0.00393886283664278 0.000578862485230246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.058886686363642 0.0369156447708286 0.0175182020028807 0.002051415095579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0974981316810178 0.0627102844588646 0.0471714356720765 0.00558398442858095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.104094058626545 0.142657150217983 0.0344358334367934 0.0538918698720392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0434638481206059 0.0605027085697697 0.0066025270461464 0.00947560712042044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0321486692784355 0.0353731091708029 0.00421134283125981 0.00289020897691121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0371555637645329 0.0260895776728112 0.00591864802799219 0.00128347063652267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0593662918967982 0.0898094941412458 0.0104382408362845 0.0217309369764128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0297086033040684 0.0337627875047853 0.00154383512834693 0.00454393423185259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0451692160964256 0.0492345688290766 0.00340970590219038 0.0109417546852169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0661470585554449 0.0756858998969905 0.00779431505305371 0.0261631386829053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0592746149597562 0.0725733470703965 0.011479620975629 0.0134357090930211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0341961553858536 0.0308509000732318 0.00517180208138814 0.00166330576203897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0602883688940153 0.0404417772079843 0.0180040090296821 0.0023502903205728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0979784699236832 0.0640091351729987 0.0473825320996471 0.0057085042155579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.176432916558016 0.234903279235584 0.101209189030484 0.139413181722962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0715266761933591 0.1004794297586 0.0171380728828253 0.0263959461533015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0453219340641552 0.0579086363666877 0.00788707325199765 0.00827833441856552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0433376329382419 0.0398591077379764 0.00776625215795454 0.00348457458519545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0994238568267581 0.149600928338737 0.0308703925809642 0.0580298386847474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0386002060582052 0.0481649915205914 0.00294531250456079 0.00836152227253029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0475664551992833 0.0519138305725823 0.00383805066680305 0.0119600715389298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0671421008110675 0.0763911174332783 0.00805524999368949 0.0266188548527482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0988022009350898 0.12075374020564 0.0321160217905245 0.0368875912925294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0420131493374379 0.0440135106911491 0.0073023786323504 0.00390926136510861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0625165173639304 0.0452423590277962 0.0189064505398244 0.00293464141393068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0988421878773833 0.0659115518888057 0.0479131364586317 0.00594184753102954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0271521056156162 0.0388746849641116 0.00254311609404262 0.00433618946391078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0158585534837966 0.0169759309667771 0.00105341378607864 0.000682251856135271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.021929638498995 0.0128918683673962 0.00218333344966866 0.000259643147323907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0327284623991509 0.0144725136551469 0.00486188395966128 0.000256680018643649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0167820548537238 0.0245513764823563 0.000754153402856547 0.0018812883438822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0226305124861698 0.0234696153497999 0.000890919455141261 0.00246793654964935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0435298775675408 0.0482793560374076 0.00322316778204331 0.010525009657965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0655901595592292 0.0754674796954423 0.00771392220097423 0.0259592903453223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.018071855955687 0.0204623482112622 0.00117389610710806 0.00107971634288982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0281415003232816 0.0186292449726214 0.00392097749757003 0.000535576227550507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0588000817463543 0.0365999674328023 0.0175077030853647 0.00202747731035336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0974845992698414 0.0624525100261193 0.047204089001261 0.00556928063819626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.05384691836005 0.0777926306981593 0.00990762721857667 0.0172099722750824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0257426036581531 0.0329158607485482 0.00256294297301989 0.00283458620434016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0252096981507212 0.0206707442402263 0.00278279224101502 0.000887286271549508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0339913151331488 0.0182592522615127 0.00518173571248476 0.000507516561211022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0318125455607028 0.0482307949724624 0.00302858551416451 0.00687115052834354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0251324468065684 0.0261669752901255 0.00107740050219691 0.00295959536821711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0437494336541128 0.0486214333258861 0.00327469404037868 0.0106587658655488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0655327114150144 0.0755985994240677 0.00772965413688526 0.0260317678415267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0334424760152501 0.0391277237704326 0.00382723372977225 0.00411543475524359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0304989309436822 0.0222993048293617 0.00434430631912565 0.000795257708785073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0593535308603651 0.0376180624541169 0.0176923731158742 0.00210013624543072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.097674814387039 0.0626924250357116 0.0473226145012364 0.0056021830249112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107961669116063 0.154803794378048 0.0403167681666723 0.0656993616314366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.047321307190738 0.0652923346731746 0.00815869947417157 0.0116370821809887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0345299189031245 0.038277252935326 0.00492899614199265 0.00359301499381407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0381267114284548 0.0281491632313373 0.00631279846808997 0.00159179666117294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0627417974667767 0.0960388935656217 0.0125621212353707 0.0259660477354617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0314410192533731 0.0349580849101268 0.00182182192606675 0.00484044544565905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0453208876963168 0.0500579138773559 0.00350050110008804 0.0112026336321843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0655813854373785 0.0759463440538156 0.00782963150737911 0.0262429527485819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.065020395506794 0.0776365657848227 0.0142724044868399 0.0162767628950201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0365531962792784 0.0315690051779117 0.0057002601423783 0.0018587033140301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0609897942470234 0.0405749318922857 0.0182802496329385 0.00238742880339585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0980970589714962 0.0636750723504743 0.0475942038253874 0.00573214945826826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.339255017292527 0.443998104539673 0.430943314581499 0.477924720915174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137455398897447 0.191840146142337 0.0662594718472326 0.0986154244819224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0827955612958472 0.110647553395567 0.0252795723152774 0.0330304695702588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0642266402460849 0.0742291748898972 0.016482072451434 0.0142240996069861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.195439063188625 0.285300009182528 0.135495962447074 0.210867750383596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0642212886300046 0.0852884539623095 0.0105528174365082 0.0236163876887598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0573093887566394 0.0643819239219516 0.00615628095366828 0.0173392266651287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0703125108672891 0.0807346172373833 0.0093094577813835 0.0292126364773268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.198169716448903 0.232827133747173 0.141048076135039 0.140097586585069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0701134550157645 0.076965644385238 0.0182429013504601 0.0139265571834259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0721805544937679 0.058148133587024 0.0236675159858801 0.00566481598644442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.102754252583784 0.0713821614429153 0.0512236935440947 0.00725865754656492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.581379624869357 0.717805531360452 1.34608345107104 1.16365778835201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.231548014390018 0.310558837768583 0.187603191497793 0.246656108082919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.134055662148719 0.179855407327327 0.0632911674864473 0.0862094467894965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.096231030972071 0.120155220074159 0.0344144338633608 0.0385232253462574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.345153389315582 0.477066081611964 0.450265622176319 0.569838727113706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105541250298297 0.144568936101741 0.0316143902314484 0.0628739014074916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0757651352293289 0.0907919024462932 0.0124189555375879 0.0313061835490841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0801796120834003 0.0912266987325625 0.0129373916345438 0.0364054026369962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.345143586145308 0.391042779220785 0.465473058874116 0.38064032696099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110046897490342 0.126628685528938 0.0439742556904347 0.0387547210673156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0886682913302888 0.0819767327966543 0.0350107877307032 0.013164951086852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.111944357447071 0.084612635620379 0.0604266646194013 0.0113331050436392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00133577169669208 0.00119088481902033 7.02904405071797E-06 3.69306673192305E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00569799584561457 0.00341385612723668 0.000145472275236079 1.31812712354925E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0117890139452157 0.00659901404061893 0.000624560091406234 4.99473958065892E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0191440563972187 0.0102985130141681 0.00164242841806292 0.00012911779504969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00226983144362666 0.00385379775223124 1.10826492932069E-05 7.33458860022326E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0104507531320042 0.0179536168915377 0.000214467617353939 0.00147919802673482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0216439547074216 0.0382017983722089 0.0008956042558292 0.00665809626750365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0343205869593208 0.0602764853327458 0.00236918594957892 0.0167641471636992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00375964780852828 0.00577593933816082 6.84907975454565E-05 4.56688580488098E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0142696015754595 0.0144185475194182 0.0010322607449201 0.000298267483656984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0311195264135377 0.0318288745194127 0.00486152567489001 0.00147838111648991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0531259899045359 0.0552794093471244 0.0140358172344231 0.00426062500690393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0072191431904067 0.00996122619152983 0.000165635501701069 0.000282003957828707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00660588837620955 0.0052419474171588 0.000184162951625672 4.98653720319091E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0119781650151785 0.00705288962224585 0.000640021808693351 6.00845202776152E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0192081634364392 0.0105010915504991 0.0016513734415889 0.000132765946913966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00482330805931259 0.00725681501478952 4.6267739953079E-05 0.000207676816521645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0106120611567547 0.0179560805606083 0.000215615748438869 0.00148586422613092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.021649523357202 0.0382174629175183 0.000894674491834711 0.00666602188562271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0343148832411109 0.0602943814452414 0.00236758173585763 0.0167717994255653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00595213927736941 0.00736290203545841 0.000137331124721622 0.000100435798435479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0144931391597963 0.014584525620334 0.00105052213747564 0.000306035773558911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0311403301066999 0.031867837193218 0.00486683489969617 0.00148399261654204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0531242481059653 0.0552696327883882 0.0140350444849492 0.00427050255400973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0141509225599867 0.0199224762269838 0.000619342475537833 0.00112634481361542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00844600660054722 0.00879776190145917 0.000283926741749015 0.000174925095628004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0124996249112476 0.00810030767863638 0.000682340361367464 9.40725084606244E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0193854122841676 0.010935071171713 0.00167378021474366 0.000146542893512157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00831312047332848 0.0128848739644498 0.000160226702345561 0.000576989161490892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0110665802434438 0.0180008796983309 0.000223896475412213 0.00150768162104926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0217037025040566 0.0382349401368162 0.000896093740677938 0.00667783414510221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0343200844121511 0.0603139233532429 0.0023674265047793 0.0167819704948281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0095216431507214 0.0110912863728287 0.000312097474648662 0.000276976800709952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0149156438332544 0.0149767397619472 0.00108625418222436 0.000324321252079571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0312019096310601 0.0319468463201358 0.00487897551348852 0.00149243990817875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0531278556441548 0.0552658094002972 0.0140367286157564 0.00428210358770893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0280702797680373 0.0399259422198983 0.00240816816206112 0.00449580573734699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0134476063666317 0.0168695337025273 0.000654998290106785 0.000717969952833387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0140771939467331 0.0112946459515476 0.000828271943578561 0.000242204222443565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0200449201323145 0.0122060393888622 0.00175613922458841 0.000205127813641469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0157983259385776 0.0247658854302243 0.000639052378986225 0.00196179794778471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0124452321956816 0.0185506731147356 0.000261630825920735 0.00161963722515675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0219850669486295 0.0382531592728484 0.000904961035575382 0.00670591705253043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0343363442533334 0.0602903082425034 0.00237185039629339 0.0167707662157198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0175046305876656 0.019905648199553 0.000959013103730817 0.00102225521147905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0160952914572648 0.0163258324671957 0.00119546932468862 0.000393716415680455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0314180798775432 0.0321858720995621 0.00491640453626269 0.00151595616572277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0531103263353011 0.0552519214839733 0.0140271367339731 0.00430428428023235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0833627763272616 0.120447782250725 0.0213689324691543 0.039966934508045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0363980213958683 0.0501761143749601 0.00425915369517701 0.00681659332567494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0240899972882936 0.0289069819192087 0.00215648373293479 0.00207343418123492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0245101602558952 0.0210504235942219 0.00244766319050549 0.000916787836681335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0466761109188197 0.0734659153716854 0.0060251445685983 0.0160166953328693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0197073022507407 0.0269867449140643 0.00070959734840392 0.00308606840348004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0243440449605065 0.0388167544047143 0.00103836493094993 0.00704887017646196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.035212883282464 0.0605161847767704 0.00245153434014983 0.0169685014869863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0506959434362366 0.0580847012568783 0.00751912019404729 0.00938280997718825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0229227788981478 0.0250963632872955 0.00204840660013949 0.00117239287551287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.033079657350096 0.0342813905346139 0.00525207031182185 0.00173646340670908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0536922596384234 0.0555137117656047 0.0142176817873457 0.00448755508912596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.139015579556688 0.200382674254961 0.0605210855669243 0.107277211764844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0597020781858015 0.0838103654682315 0.011149154573183 0.0191713465951442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.036655783339629 0.047563133568797 0.00462580257583863 0.00594091001911746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0306718516477989 0.0324880750474318 0.00365347491738944 0.00248866952267068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0779937517759561 0.12261566978952 0.0173064833925949 0.0434950910635955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0282307757211289 0.0396675577802147 0.00166792487927644 0.00596747662674893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0277582164035235 0.0407793585166632 0.00132824130499789 0.0078523326297809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0368356059151567 0.061074159528474 0.00263089863073351 0.0173956956916996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0841750365840356 0.0971281425106512 0.0206752948746886 0.0263172995521629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0313342432684418 0.0360894011555808 0.00351819612240329 0.00283828583275819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0355315132575593 0.0377178288369106 0.00581749985190805 0.00216418432443905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0547555547542854 0.0565979002392989 0.0146071045442881 0.00479248755106555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0227279717532787 0.031494209238293 0.00152073879060961 0.00312342939426194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.011092536202236 0.0139330135238224 0.000454321074487267 0.000532843515092931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0132151105206643 0.010297861517968 0.000738817904971736 0.000202133628255252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0196741819963959 0.0117453486873117 0.00169780119752172 0.000192812828486165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0136182985657668 0.0208145118177096 0.000472765608420359 0.00147289184282625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0120065094475116 0.0182647714703761 0.000260644793782159 0.00157189837230738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0220029423519387 0.0382527982820704 0.000918056421922677 0.00668491359605005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0344357721025876 0.0602925198666186 0.00239133075353085 0.0167749939450523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0146862355459767 0.0170946067544904 0.000711578547634488 0.000751747334101426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0154694966447832 0.0158068277124498 0.00112866278183605 0.000362262585427471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0314753594965426 0.0320494070161967 0.00491701760271844 0.00149508895718085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0533206729926505 0.0552774295019794 0.0141015656101255 0.00428513886896365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0454223136507359 0.0627832069946204 0.00604604602652829 0.0123920449364293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0197459459097832 0.0270936703451637 0.00131082723136505 0.00218397466647636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0161197553671931 0.0168779389907867 0.00104393844945629 0.000697992156128212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0209274823896765 0.0147946116676195 0.0018579950790432 0.000390686156219911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0266565102052791 0.0409307612349441 0.00192854678431847 0.00540503977072208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0145137643510247 0.0202398072769762 0.00037758778005139 0.0019312639527215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0226624835503522 0.0382385865290619 0.000950652466150159 0.00672887253810241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0345662217863377 0.0601582256286911 0.0023964170598623 0.0167214094829177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0286096422378939 0.0323451589683881 0.00252637555656516 0.0029718622462812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0174120113882772 0.0186505139799825 0.00133449953637884 0.000551184025365207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.031909935294905 0.0325439711428068 0.00497476463058232 0.00153372840244106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0533947145413342 0.0551109851197461 0.0140719260817016 0.00429962215254099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0906950762623582 0.125338798387552 0.0243635363036766 0.0485217727067872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0381865820828999 0.0539011971019627 0.00458957291373568 0.0088966517503379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0246071196463387 0.0314258360649939 0.00221388020571709 0.00279635828868686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0244134769769465 0.0229767012371915 0.00241161464861712 0.00123893293756782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0531208209062037 0.0813910377293908 0.00795760206473408 0.0205983506636505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0207061667585269 0.0281338977408343 0.000863806691046902 0.00343785276442578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.024967775523148 0.0386066651011514 0.00112232003045984 0.00701671101043255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0358163368514593 0.0602381246646496 0.00253076766268766 0.0168651091599325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0568573831872552 0.0640515449141442 0.00967333235037318 0.0120310221231234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0225099074975446 0.0263193376423156 0.00206026947970149 0.00136505329663803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0334334731802101 0.0344991298170905 0.00529830308043011 0.00172863324598091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0543214242668058 0.0555142301636872 0.0144171810614474 0.00444501255458843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.281242260060886 0.361431585383044 0.258104524985806 0.35892926951559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113495163138953 0.159371538877555 0.0391033223288078 0.0773100843571669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0652985365693008 0.0917333931785358 0.0136386923354957 0.025624651059368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0467251241812279 0.0610877921940458 0.00773785190512086 0.0109433864766615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.162767633931599 0.24189590459729 0.0811992432730718 0.170599896133191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0515123517095476 0.0703997963134718 0.00658938809641552 0.0184285382192657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0379491172862177 0.051256390714096 0.00289579168289885 0.0119691398616012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.043655309840514 0.0632596978977973 0.00373662141016345 0.0192387978823629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.170945116921817 0.193253936500718 0.0895650915881032 0.107029780124259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0515700349798588 0.0635936311206425 0.00941998820637986 0.0109489557978579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0427580421796284 0.0478692867305905 0.00801740995988416 0.00397542580336747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0593840926158221 0.0610817368995642 0.0168119570023123 0.00580964020136913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.48253357341348 0.579070561759661 0.840372670341249 0.84728859995792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192153746613733 0.258558865670976 0.115404033174447 0.194668476287163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.107937862021327 0.150347224851057 0.0362578584156018 0.0687784072280048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0734145215419563 0.0996268935635009 0.01785954757809 0.0301111516493711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.286929064530051 0.398070082781081 0.27789196765275 0.438543313748957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0874589094193922 0.116913126548711 0.0203908900167353 0.0491110084760042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0556229051052139 0.073026829050835 0.00705925464644306 0.0229020430854968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0546996110572578 0.0734436230878334 0.00638433937975305 0.0257060703881761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.291499624559815 0.32612088414185 0.280000790462235 0.289616815585661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0856894050504658 0.103774061414612 0.0253344177964461 0.0312141497943281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0564773705202718 0.0656382292424817 0.0138593495320782 0.0089991742657522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0678268117073317 0.0714788673717904 0.0220597225673408 0.00894410877260495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000726516601241698 0.00147102188608468 1.37885213049492E-06 2.30046188594143E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00208626819428244 0.00652791887306256 1.71851531743051E-05 2.87276215369278E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00382570763492057 0.0134196932855966 5.87155396194414E-05 0.000114886739281347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00609897911080072 0.0222394930399759 0.000150994158374964 0.000309782067378389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00440554211217611 0.00314911360218015 1.41211144919077E-05 4.9546733182544E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0192196483521125 0.0139906838953116 0.000211409205060108 0.000922583177935443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0400524109235266 0.0283147453246836 0.000865822252414636 0.00366411566636988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.061149695634364 0.0425666610420819 0.00210473975704969 0.00781813037124111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00357323971613649 0.00448010619763797 5.7369156084866E-05 1.65102220171807E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00984132591238477 0.0163855184329883 0.000481832338659327 0.000311018050873752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218517614887994 0.0351575494481486 0.00239303445324911 0.00143625195184706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0380268258000255 0.0593183096999244 0.00742268096285827 0.00401625723443365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0102668901316077 0.00802057288133254 0.000299508182756157 0.000163478694523023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00464832152985276 0.00751046652147201 7.42002559017655E-05 5.1344811108253E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00448270176128283 0.0135772582010518 7.82408703346636E-05 0.000121651895827452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00627160412395063 0.0222919538890943 0.000158861719847957 0.000312667411921224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00809964997804128 0.00591810978667088 0.000112948238655528 0.00012061374806846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0192482210492377 0.0141208894882458 0.000219756099639068 0.000933090374620207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0401168501860546 0.0283927945890246 0.000871046342080155 0.00367858786377769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0612605961317613 0.0426346789098959 0.00211155934928105 0.00784009515882781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00646300717163067 0.00675596437421221 0.000160801200411712 5.79237978015378E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0101492381596101 0.0165028862213048 0.000501381088694608 0.00031388921086787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0219581621317107 0.0351937259476417 0.00241128458503676 0.00143580347520239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0381705083297423 0.0593835893297928 0.00747136102064854 0.00401376994555919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0205032962626894 0.0158221495419257 0.00119504787664675 0.000671617452851535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00868803914675789 0.00948689319944615 0.000236983644433702 0.000122973402772093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00603978040296073 0.0140993141687499 0.000134738352578206 0.000142877602327919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00686434757500755 0.0224362938991814 0.000185095904075973 0.000322219155924943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0143445385685368 0.00972520318176402 0.000451902428755035 0.000296719549845086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0193612918280745 0.0144158256383477 0.000241593983466259 0.000956116979954587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.040113836439453 0.0284505258420493 0.0008779704226705 0.00368870062442844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0612623638104233 0.042651658324699 0.00211501460035404 0.00784601021713638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0115366624195918 0.0105060130498325 0.000453520262460433 0.000196259323735318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0107824860804725 0.0168395782253138 0.000544538423003222 0.000323065924329776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0220615820801505 0.0352214191886735 0.00242431751050295 0.00143794867439402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0382129547988585 0.0593998911946873 0.00748112872942452 0.00401529517624494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0410376939201696 0.031542288886897 0.00481084121868577 0.00272194841517842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0170827095867888 0.0147380803069513 0.000868770620243334 0.000434130720821756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0102960338533141 0.015721004185964 0.000354620389288178 0.000230380531885278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00870084466097508 0.0229690116274967 0.000283684038489179 0.000360602072574917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0276430504955916 0.0181799705154057 0.00191187360643596 0.00096340989754124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0200400915849946 0.0154648097098685 0.000325758465179547 0.00103953163865525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0400208303766318 0.0285345840982395 0.000897195734426968 0.00370004692537913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0611212672052115 0.0425894517418839 0.00211371672734944 0.00782286090048336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0222280154116643 0.0190616850323247 0.00156625832475888 0.000796473977441236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0125873595945981 0.017817717410337 0.000690933797711815 0.000359336062088834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0223509736102599 0.0352413998338296 0.00245611639062854 0.0014437083423374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0381817946926729 0.0593162492090732 0.00745122075645278 0.00401319558230228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.123713247752603 0.0941469091422298 0.0446259893026995 0.0236341757498545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0512042403551518 0.0399926156048626 0.00753700936679931 0.00408669839732396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0293307101712824 0.0260933987075326 0.00257785045293519 0.00124873843679974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0198715596320172 0.0274487922044318 0.00128012359417026 0.000781329127767986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0819302647613492 0.0536431160345323 0.0182818271781907 0.00769163251034602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0293777042765851 0.0222676495367915 0.00133941396741641 0.00179582440254042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0409258658893423 0.0302397000921365 0.00114051979569886 0.00400416630806593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0615348372049478 0.0431267930159757 0.00222969110719998 0.00799599404069956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0661501595946723 0.0555613843199632 0.0132659727914053 0.00750544864364117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0236435100457524 0.0239466637141259 0.00206381695944579 0.000774334360101105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0251701333057151 0.0366490180298317 0.00291716288045008 0.00153798662153315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0392899310817774 0.0597215552567614 0.00775384456672467 0.00406039466097114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.205293190656189 0.157734736800165 0.125796325584024 0.0636333858223365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0854717806426405 0.0658852778819054 0.0209311039200505 0.0114293058894457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0487155894470183 0.0394301007372978 0.00693815961464395 0.00344967264192711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0322741535193723 0.0336821301302775 0.00319897896472586 0.00166056820620224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.135529863379339 0.0901303223787175 0.0512864562123273 0.02100928263943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0432103379861003 0.0306530509437281 0.00362945993972003 0.00313451961894883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0429799167470515 0.033147488076692 0.00161769674797193 0.00455653081442634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0620488691487115 0.0441829963217545 0.00244586997334917 0.00830082282319192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.110308501874839 0.0926097298548837 0.0372073681490018 0.0208759617885098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.036878189169019 0.0319020340735065 0.00467144188300964 0.00165524642595702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0292698826145687 0.0388044658285578 0.00373705622991062 0.00172784449727684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0408946838506098 0.0605957770314458 0.00822831409642279 0.0041546477695086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0334362796364398 0.0240774881393465 0.00315127254042768 0.00165046053152198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0138765364677129 0.0125279052033755 0.000588993894892178 0.000285233558283646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00853769731655547 0.0149439723118301 0.000254151993766012 0.000192670547110871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00787594857023663 0.0227402054649143 0.00023923457329569 0.000345616519196767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0223441027504113 0.0138161806968152 0.00125822836619295 0.00059339864611094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.019811704310683 0.0148870723399733 0.00029005680928763 0.000983340515190522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0399675023623471 0.0283222146192062 0.000891449084184044 0.00365231810651947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.061038313631259 0.0424544331526585 0.00211633001935503 0.00776433857360562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0185726327542539 0.0148947288698323 0.001105405160579 0.000475557895300486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0115850642922157 0.0177482801595921 0.000609704677960217 0.000354842480619446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0220181910926697 0.0353342894314294 0.00240878687482644 0.00145191591884858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0379932406500549 0.0593070341764877 0.00738453197954546 0.00401598978633575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.066998742814661 0.0479610808626409 0.0128018154276648 0.00649750658548233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.027507999128045 0.0216983885205903 0.00224714792890229 0.00111278204233785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0158906753174224 0.018360790914124 0.000809151059789543 0.000427789839738985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0117194580782791 0.024073202096784 0.000490692560484759 0.00044641691044112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0439865050220307 0.0266327713055591 0.00530562434001267 0.00209422247813009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0223146531507077 0.0171412512780702 0.000525192292961642 0.00117757177897136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0400663181586658 0.0286634292141625 0.000956571240351305 0.00370247661667536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0610963789470141 0.0424885992934284 0.00215502365897965 0.00776761834323765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0366030258539016 0.0282009146738309 0.00410576569546646 0.00195148827492524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0151375921818099 0.0200369688449862 0.000954117055361605 0.000467899322993641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0226864593651495 0.0358660665191447 0.00251470113237427 0.00148655730202099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0382484869887718 0.0595055437764313 0.00744336672826834 0.00403082655509057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.133832138144456 0.0953393703521274 0.0524224357165694 0.0245672641540623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0547205800321503 0.0410950966090461 0.00880936696230469 0.00446425169181671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0309462736795773 0.0276533613557002 0.00293434072675508 0.00142262775435838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0209250833488638 0.0282355169520659 0.00143840353931701 0.00085709104264735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0869593762552524 0.0530636453084402 0.0218290825297469 0.00788052238318606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.030673877011224 0.0227013443199635 0.00153642367492149 0.00183724536864582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0409055734477049 0.0302114073917877 0.00119091902265272 0.00395596559587239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0613367169052429 0.0428393254855972 0.00227977263614138 0.0078743616771653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0727291133954308 0.0554896930965818 0.0160381671941325 0.00788957225748192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0244640615558499 0.0256991962354045 0.00223914042216395 0.00090757696556164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0252318069767471 0.0375349072254192 0.00295080207105159 0.00160505864386582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0390985483337317 0.060184862564692 0.0076783638870945 0.00408616129705262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.393657435288963 0.293235122959236 0.500862455134989 0.204029553671046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.164912109723955 0.119686614493864 0.0816083057096973 0.0374687644455507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0922451767965597 0.0701729017655156 0.0254156958987493 0.0121857260703488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0602802684943626 0.0524891209376933 0.0110446273628869 0.00543798365276542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.256987540216199 0.168027131337675 0.206858263763476 0.0723492712551415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0761300439660659 0.0511563524746116 0.0145112736976552 0.00814084596793239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.052406514122266 0.0406917949355325 0.00372161225580253 0.00620061845872794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.063550961537567 0.0476470688405312 0.00334541579578446 0.00911151747333132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.217871820621059 0.170778816407507 0.151084815923405 0.0720335748411538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0678726575971013 0.0549704078419353 0.0153886893905885 0.00591354221111793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0415617480951689 0.0470089378251836 0.00698320085026142 0.00273472921196485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0455875860180075 0.0644129540453752 0.00967342458421026 0.00456415794656118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.643741832592833 0.498323122421661 1.44470049018928 0.553942499621152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.273069885015576 0.19850168403357 0.229799121346201 0.0979174531621825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.153874222268747 0.112999493453459 0.0706706622353344 0.032128563979796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100258720763619 0.07947836360064 0.0299028974563545 0.0143751224620272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.427509443138098 0.295026868970837 0.606710236624005 0.215592630672141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.128350331260415 0.0848992492087854 0.0451447906406811 0.0213457311399477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0735244806775942 0.0561401812134423 0.0099499006908933 0.0110290643521243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0711508771271934 0.0567717630410321 0.00573795308248838 0.012273240433088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.363332328178408 0.295153033855666 0.448340819590465 0.206588237548162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114408714883345 0.0879810707243373 0.043141974721161 0.016176574779028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.063891935873489 0.060842374811561 0.0156417963472089 0.00510623368403148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0563555525242902 0.0723289316407889 0.0141271417050457 0.00574871770095056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00146290220127774 0.00134575046030197 7.60029980494953E-06 1.691299614126E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00418041359437171 0.00506424290926368 7.92440610501782E-05 1.58513420637141E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00805187894151504 0.010346758052996 0.000302306889732924 6.58930824261618E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0127967771737796 0.0172396931060559 0.000766672792276062 0.000173855354924642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00353440487791061 0.00211158587640655 1.49908507518556E-05 2.17938984742856E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0156854434699328 0.0104762056825968 0.000154827329034682 0.000523313032212592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338176433437367 0.0223408594870552 0.000639710787951818 0.0023423442398183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0535550735608937 0.0351267350381031 0.00193067771167293 0.00556232260112107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00335396255930057 0.00581117890915841 4.97798109059447E-05 3.88053904486658E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0134804042034912 0.01495756959993 0.000867555030967236 0.000240585674336988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0293741574254352 0.0307160805527949 0.00416067144770189 0.00102127142812992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0503778968728903 0.0513870136907229 0.0123407201611694 0.00282404370460184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00983935469803521 0.00819602436016301 0.000291143298006845 0.000172140668087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00580858149936867 0.00604494667400548 0.000139018845041074 3.86615003388533E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00846450488561236 0.0105451646067078 0.000324973908027339 7.28924007383113E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0129729156792232 0.0173086294607564 0.000779434596749752 0.000176408367409634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00750640979760712 0.0053886928763539 0.000107954833351447 9.51210611350778E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0157682563417475 0.010610917832448 0.000161919914263372 0.000531507406858564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338138080371515 0.0223268079895626 0.000643123137158257 0.00234195539206257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.053523027861027 0.0350968434534058 0.00193348277057993 0.00555830717712975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00708670148735765 0.00726394574167503 0.000177501132002905 7.0648504013137E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0136868304876506 0.015179927736596 0.000884793551158304 0.000245173166493053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0294169765887064 0.030766597733361 0.00416910904627166 0.00102430036211977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0503973563106416 0.0514071797329643 0.0123506159271935 0.00282942630679502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0195518698478324 0.0161922185278818 0.00112794254608365 0.00070749961893286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00912499755180113 0.00844106529827736 0.000308079062807859 0.000114173967818081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00941618343475934 0.0110278633895193 0.000386738859965916 9.40978801787431E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0133267174479421 0.0175013063118284 0.000810369550766455 0.00018516907183518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0133438200916905 0.00973656964999872 0.000416542934756651 0.000288089647549337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0160615039961444 0.0111249292273852 0.000180530597715468 0.000561571395589061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338157157480642 0.0223640570123791 0.000649889143545891 0.00234812277949692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0535039249807809 0.0350789035734098 0.00193820001334277 0.00555731550689606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0127237815844765 0.010084229340148 0.000524439727891597 0.000170714760392622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0141266617466017 0.0156088688614918 0.000925593411247102 0.000255906913264928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0295061962748646 0.0308724218574273 0.00418613504199307 0.00102891633973594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0504236354360153 0.0514348961780609 0.0123637846759781 0.0028355751967031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0390969095704115 0.0323123580991058 0.00447715404794997 0.00286737114243642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0168751389876731 0.0144781031522356 0.000947232608779721 0.000449486522288226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0122971242585907 0.012780664230937 0.000615848246431622 0.000182609484258268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0144948190435166 0.0180925088667852 0.000924606037578307 0.000221564753888184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0257391953222753 0.0188459264710896 0.00172495678145331 0.00102538063167387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0172787745874593 0.0126279367858732 0.000254213379289322 0.000663962126423627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338973878588819 0.02255131049565 0.000673514847328468 0.00237680622841268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0534910000297858 0.0350835534888046 0.00195335499233757 0.0055649813565622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0245484685508847 0.0169101173304338 0.00185108780691921 0.000596619834928528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0154859906625521 0.0167991005543609 0.00106810073470671 0.000296594019566166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0297978884285832 0.0312250227769724 0.00424306722047962 0.0010429960100024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.050534245509327 0.0515339037459784 0.012407533045981 0.0028502553797339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.117703697679161 0.0968571153651434 0.0409591074419427 0.0253341463907563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0494852337403429 0.0412440633554733 0.00744115026063213 0.00436823660935216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0292025160815782 0.0252207939731774 0.00289898805521121 0.00127956079012692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0225090915848356 0.0228908980975565 0.00199157897832647 0.000641819640438737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0763972584295178 0.0563288739279107 0.0164368375368002 0.00860640679306053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0267429409458566 0.0210962936112746 0.00112516852743403 0.00153567796445704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.035081975255495 0.0250209231496643 0.000906356108636328 0.00273401876345047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0537820756716011 0.0357652120236774 0.00208117728758434 0.00574854563904061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0727594847201573 0.046976042572561 0.0157648009735841 0.00536807662500345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0250944934957643 0.0233365595088433 0.00241925535160359 0.000734751672915845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0319834000574838 0.0333489694404058 0.00472973536873991 0.00116604968241848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.051398686644354 0.0524241470394993 0.0127571128700987 0.00294507079231428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.19661938695176 0.161194043679081 0.116034500037589 0.0680725416801769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.082316793354125 0.0684487119285695 0.0202309957030741 0.01231411782925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0474951954898848 0.0398376091477401 0.00722371518881913 0.00366955612379772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0334687441050458 0.0307666595998047 0.00401879468911207 0.00157595610554072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.127490659080383 0.0944121556891918 0.0467406506800731 0.0235059675589182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0396799248577522 0.0313441869338565 0.00309362779859322 0.00314239940367168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0381376687481055 0.0289310980892978 0.00137843484348563 0.00339915824018595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0546682073097841 0.0375048916408111 0.00234788314709801 0.00616062477419842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.121051384579322 0.0779641978364357 0.0437115634890859 0.0149545143658478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0374489160714625 0.031650575390952 0.00494521085722439 0.00165569792061569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0354336968387585 0.0361652781682411 0.00559521879947897 0.00139857663897261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0526672369375858 0.0537831899179255 0.0133047593139876 0.00308810526709382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0326163141430213 0.0279472339852245 0.00314917116985391 0.00217245602010349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0141059202897262 0.012531413081523 0.000694101642072639 0.000325387415799695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0113717114045593 0.0123206561463462 0.000540654904236595 0.000148492237932296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0141062498942052 0.0178447292846396 0.000894930561715073 0.000205917219306028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0211220923857505 0.0151901403384459 0.00112965915207307 0.00069655007709183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.01692856212027 0.0120492493610581 0.000225545111529407 0.000622512575764249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338485143736813 0.0225663838435405 0.00066438898631134 0.00237035751687054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0535863022908188 0.0352389657224173 0.00194872584312421 0.00558884220297421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0195646570235513 0.0139858450672156 0.00121987278265824 0.000411017920940428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0146432814968859 0.0162484691777091 0.000982781698810997 0.000272342501085492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0295382682404635 0.0310476870223724 0.00418589105342367 0.00102603442279744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0503901557443221 0.0514434146931835 0.0123447673807789 0.00281759584655406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0653890341851109 0.0556668782819535 0.0126856012822861 0.00860509383134512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0272878325243441 0.0234181237975492 0.00240990665338499 0.00136191954020556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0175688481155545 0.0167472812917685 0.00116987421341229 0.00042694708239799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0168842759437156 0.0194291270646599 0.00121224612003297 0.000313949441298377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0413982819125488 0.0299899443424493 0.00468472539636772 0.00260073461005897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.019946314993581 0.014894084162379 0.000439603600850823 0.000857165693718841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0341974861153827 0.0233270078155867 0.000726223010531127 0.00246563433384514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0537159902029221 0.0354952102271655 0.00198662166039452 0.00564667010754741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0387285002149056 0.0259079301318607 0.00460013694705784 0.00163800808628324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0173407763344499 0.0184865621101735 0.0013149978998777 0.000377223745621573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0300448198207081 0.0317430159745141 0.0042859115759716 0.00104924767911807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0505681909500276 0.0516408184291732 0.0124027322732825 0.00281954180655589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.131907047336012 0.110257635186315 0.0523647627630379 0.0328158121682624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0541393960171763 0.046036146864048 0.00911734678577633 0.00566206879919511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0320214081647779 0.0277461988826746 0.00351872480053787 0.00164938902395789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0246762768437584 0.0246014256325315 0.00235999747049263 0.000784975917640886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.082597862199944 0.0597945575023008 0.0194783614699217 0.00995482945831493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0286086550303507 0.0217916251734729 0.00137612601030043 0.00166253580139181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0360008261622835 0.0256198032751642 0.000966922525428755 0.00279504304646588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0543099824878227 0.0364783626753774 0.00212276731747826 0.00586239887269124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0773465454018461 0.0507776232102376 0.0181177934089159 0.0067206084654842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.025719047606512 0.0241128100289383 0.00262518018276449 0.000824914266965837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0315679160423982 0.0335486294084584 0.00465458395501246 0.00115235410845168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0511834018074765 0.0524514785756632 0.0126342768449611 0.00284911729230788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.399273188255936 0.327583184987183 0.513633939934338 0.258050652365035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.163987922218825 0.135302347612417 0.0822411255103104 0.0491471038749924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0934419976860813 0.0772629373591567 0.0272952793002686 0.0156431251455909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0631425970057652 0.0534777242660827 0.0132711209288983 0.00652638350754067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.251114249169454 0.182887492413407 0.192405153526321 0.0863368531512619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0737942509610406 0.0564282604217636 0.0135722643039171 0.00971961313319551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0520655377188673 0.0398233267155702 0.00389877742180067 0.0057657816724237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0611192262584103 0.0443621244685258 0.00358668283204546 0.00790859485091756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.232719495806427 0.154164933121745 0.168538869626648 0.0631085482779527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0691238786609562 0.0535368908428769 0.0163839834450065 0.00618218759996173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0453798141656656 0.0437937128884177 0.00886677891683198 0.00240331434896112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568324404789851 0.0574947645850742 0.0152441470387522 0.00332509173420336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.657557452211694 0.550374367968548 1.49084824112151 0.674347634149568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.274446206150701 0.221074654526585 0.231790930827235 0.126074290295272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155324974566678 0.125938219050182 0.0735291610150586 0.0422050644857579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103314525190761 0.0852034045189819 0.0335177686194694 0.0183637101694078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.42231644015669 0.31824598848947 0.579074602997233 0.248015354629118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.126852419116364 0.0947647160385573 0.0439662663746556 0.0264564434530399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0768124537105807 0.0596031983167271 0.0115741155928442 0.0119303316701451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0745594683375385 0.0566690574634295 0.00728425838959895 0.012042211763075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.387494703150197 0.266796575049201 0.489704830576641 0.189065594114705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.116762531891834 0.0870050197837806 0.0463465305973902 0.017772778807003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0679090289690383 0.0573770534337432 0.0187011161799188 0.00520505130408144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0683986166781937 0.0651003002158697 0.021739286462361 0.00451420143401144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00282723159524843 0.00360542620665549 3.24063637220896E-05 2.6014640424952E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00899525002389565 0.00943742116234612 0.000372751032385918 9.56933074087606E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.01744515501985 0.0174034729487774 0.0014164517403581 0.000336857646262401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0264329748026161 0.0255347935505782 0.00324545364819441 0.000767425621652333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00314793502729312 0.00609560882521873 2.14075109177211E-05 0.000194996740517607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0162095804324666 0.0255535419925654 0.000446915677126062 0.00341782507055237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0342598779468546 0.0537386410330469 0.00186798766518188 0.0146874949200858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0543476366356686 0.0845198040183536 0.00484824447141527 0.036075419106602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00659360964187995 0.0134836605481218 0.000207267984987242 0.000286802630676548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0249898214778995 0.0376626767206015 0.00324835615572509 0.00270756279047974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0548128805778867 0.0816287862720423 0.0158270974780001 0.0152229228128359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0941767172693859 0.140924558273056 0.0487571392885214 0.0532830131717531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0108586763713203 0.0108425316315007 0.000378945129623282 0.000311602372878004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0102825640666343 0.0106483519683221 0.000457870723867053 0.000137692865194433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0177870811034105 0.0178103359036109 0.00145411337204816 0.000350528536191286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0266046664162227 0.0255662631849733 0.00327057679206503 0.000771956567180274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00696666140181058 0.00953219810510729 9.77858216926929E-05 0.000356862430424236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0164166068521459 0.025649854515394 0.000448124459071282 0.0034245040513026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0342913780474288 0.0537261909526492 0.00186108323059744 0.0146699447535205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0543044516941933 0.0845146681411867 0.00483502881968333 0.0360566481260293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00896859251058193 0.0146803520909981 0.000331572554547989 0.000355130769309672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0250808801870645 0.0378916153794168 0.00326294008421746 0.0027274880881692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0547641671976895 0.0816746034578404 0.0158125125913919 0.0152426562364291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0941271245296709 0.140957382828547 0.0487180161039347 0.0533575270634323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0211576696883479 0.0207954782736279 0.00136484139342781 0.00119413440478271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0129162765483227 0.0131009248000465 0.000676399750712442 0.00026555473673376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0186621235395134 0.0186341035621584 0.00155359996087933 0.00039124613404915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0269874882175591 0.0258819997566626 0.00332838987374725 0.000789406273401822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0121017810884597 0.0149682096028144 0.000341776733991455 0.000772937890923144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0169346893086601 0.0259484651046338 0.000461915156808597 0.00346742663080666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0343633715753313 0.0537333978861281 0.00185872433217641 0.014662948123149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0542810252728919 0.0845137349058629 0.00482510878684458 0.0360444711553239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0134114992985889 0.0177999337835103 0.000661360179518579 0.000560027675658105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0254523301274477 0.0382357484925062 0.00331545355806423 0.0027603218828462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0547363352361965 0.081737093317346 0.0158062626890474 0.0152685235954171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0940826241848882 0.141005051053107 0.0486844516929136 0.05344105275138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0421625441542293 0.0411169459667776 0.00526059776373997 0.0047577130846818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.020087140575598 0.0198464993134558 0.00148584255731827 0.000813526961512054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209883933063713 0.0208457587779686 0.00187554790287828 0.000555940386492796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0281496565768129 0.0269561738646516 0.0035240773410681 0.00086399275880608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.022981907976206 0.0270960055517698 0.00136456951778805 0.00233216806021508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0185254994393697 0.0271100250362288 0.000528332565618299 0.00366247683746905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.034625525152195 0.0538462380870174 0.00186747955655352 0.0146962174993976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0543199365534828 0.0845926993304388 0.00481293877966753 0.0360808064468517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0239624601154127 0.0259353863964553 0.00189428100031563 0.00140915758149183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0266571443427091 0.0392579084007613 0.00349992144571502 0.00286684361847919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0548093497446063 0.0819665375964767 0.0158357549469024 0.0153354496947738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0940564115954048 0.141165894247508 0.0486600348559424 0.0536149361527265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.12491370120238 0.12386393488443 0.0460804546959034 0.0424624996382059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0533407466439171 0.0525337362429777 0.00930240389525145 0.00724548687302552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0355670487367701 0.0349379132814286 0.00475949019670819 0.00246577877255224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.034836676072337 0.0336386695318271 0.0049848130312246 0.00167982799236494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0674903112158406 0.0782215755121526 0.0128504107317571 0.0179282218189665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0279923755994759 0.0358886610030449 0.00135136835924631 0.00558840475972836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0375100369453606 0.0553170669448356 0.00209746629972088 0.0153158964224115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0553400818794939 0.0852849460446199 0.00491153727532105 0.0365760947459443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0688183286779247 0.0649132082603526 0.0143453026062551 0.010947133363156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.034051139390242 0.0467706273576257 0.00497823188870152 0.00386174220840233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0566375100674856 0.0839604110564686 0.0164656123853252 0.0159196230153016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0944967610568292 0.142526771100062 0.0489938935227303 0.0548765289398875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.204383983720818 0.209493610523243 0.125658482843343 0.116991836253525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0880702117172901 0.0868698618560777 0.0244008328564432 0.0205046659927535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.053324560287656 0.0523202261579842 0.0100459365270007 0.00655670007237386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0440362400606012 0.0427166620383582 0.00754789182727317 0.00340340369074093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112885172037794 0.130225240564808 0.0371914339155452 0.0481301160802825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0395689563658785 0.0480911763276681 0.00316551888122922 0.00919125837006626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0418939762471182 0.0583579509258132 0.00264068617820867 0.0166834913071151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0572499163210102 0.0864387037463845 0.00521309244104518 0.0375070197987376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.114343744977164 0.106543582480302 0.0393685754015191 0.0304167448692822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0439410462217873 0.0566377400862978 0.00758067222913278 0.00581358919114862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0596063184639314 0.0870246475987338 0.017598906633895 0.0169575507157371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0957327692380557 0.144258697487161 0.0498386252815608 0.0567641127526368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0337121135031091 0.0354454625879561 0.00369162985699272 0.0037557770610537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0171657553242462 0.0175596567261657 0.00116337243866268 0.000625981473687406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0199859536997405 0.0198184506195301 0.00174301177391414 0.00048536629322596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0275334967177515 0.0264813570856314 0.00342863849876198 0.00082634038266618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.020123799430124 0.0235788215428017 0.00113027662983366 0.00187839439466935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0183017351685896 0.0268364177505677 0.00053907784407023 0.00363211828564762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0346198910184042 0.0539509797300114 0.00190973575943105 0.0147528441666885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0544562852066359 0.0845416131024293 0.00487537873376194 0.0360672032064664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0212653215915284 0.0233346431030721 0.00160866935676313 0.00112686864848521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0266074372611221 0.0386167555980232 0.00345937607651599 0.00280945586044355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0550813688633885 0.0818712735847444 0.0158954010066835 0.0153125026149723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0942220124974574 0.140754931986717 0.0487686695989807 0.0534140068658563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0669285592180747 0.0705881002817943 0.0144508202578312 0.0149893410959344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0297533186200787 0.0305912039179608 0.00327208810311496 0.00239873210003825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0247831510997181 0.0247917493768136 0.0025470565159995 0.000990297075839935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0298052316608453 0.0287493263106853 0.00386368137184591 0.00104050816152114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0392192816512154 0.0450314011744943 0.00458570929695207 0.00648446505404332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0219845593030611 0.0295578805190804 0.000793534945244054 0.00416738679680417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0357105949988376 0.0544299806613143 0.00200705846255674 0.0149370569506986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0548495260816658 0.0846557927011042 0.00494027481453689 0.0361313656449555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.040385521747312 0.0393496150436915 0.00549999259631477 0.00382515705367247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0293061643314684 0.0405579891090947 0.00391877674470417 0.00306306957413808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0557602343057026 0.082375089816615 0.0160981840276936 0.0154792807553373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0943816193072041 0.140761784646082 0.0488963329763567 0.0538637445173608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.132153893273395 0.142144827997026 0.0568707636622235 0.0595151839916472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0570391635334069 0.0586632535875463 0.0113068386275121 0.00986482495459909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.037371003314445 0.0384045774430615 0.0054564331003246 0.00321468992358398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0359968235163885 0.0355562421767866 0.00534092861801444 0.00198078144483155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0779804192109736 0.0891187126924994 0.0188746295078342 0.0242682997763469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0308428629983121 0.0375891834148529 0.00183081176145933 0.0061011606797521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.039120309496004 0.055985514263469 0.00237416196122513 0.0156566819714513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0564558610702932 0.085418688465542 0.00519079326184487 0.0366513911998782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0794885155516473 0.0738691102727912 0.0208137811030731 0.0149748554102799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0362517798358848 0.0464878281416832 0.005471319970463 0.0040576332027746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0581412806191729 0.0840558286321969 0.0169232045961496 0.0160775102369991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0955679279108832 0.14164267539468 0.0498582821891764 0.0559581479281666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.387709009681184 0.428641156567292 0.534836970497409 0.475161195575385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165193205170086 0.174955026855836 0.0900869457525457 0.0900167109038907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0969196936889574 0.100677047849676 0.0327583074354295 0.0288024201585433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0705292787396335 0.0725064362738001 0.0184423776267595 0.0131387930226669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.233882434244034 0.27331873215694 0.184197815015391 0.209717271962656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0745553966257297 0.0830992208270832 0.0143580921213949 0.0252084349546076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0586975129454248 0.0718418370814898 0.00645981939774953 0.0237235054584418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0683353322173652 0.09177538766502 0.00790033359100645 0.0419448088891472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.232612742847765 0.2253895854375 0.185615520792188 0.138312878174677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0751934921276392 0.0821052306734647 0.0205878283913997 0.0152076520298763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0722436408712841 0.0973272067278758 0.0240970982540374 0.0221119330858863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106629094744166 0.154741670582164 0.0631165086682824 0.100708452162035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.642947051090024 0.708439808610557 1.58426346854811 1.19418142189344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.266949628307715 0.290746549208034 0.235739200554777 0.237152601304786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.156057405152417 0.16530371217912 0.0804301367141773 0.0792457771234362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10867808906086 0.112968405003377 0.0407212735436617 0.0360976902555026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.40074461745177 0.469486121939211 0.577555203059744 0.5837320157226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.124608969761805 0.142034245121798 0.0437885782271386 0.0697970906505249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0848925537709825 0.0992150350615595 0.0160173322123315 0.0421095430428751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0857237818937012 0.107276076701791 0.0140780712226069 0.0552390893081928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.385405215977221 0.392894535379735 0.547722236036718 0.3958929604849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120440829631841 0.126610166686379 0.0530601747798354 0.0397872070856257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0939643690156035 0.12106293878733 0.0413686280506828 0.0389738155635724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.147255471347786 0.186019194913999 0.373316923246506 0.268888904835196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00281163498010724 0.000700293444262547 3.39506961453698E-05 6.85828599830505E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0127547294166388 0.0022822116545735 0.00069910086409041 7.68359675410075E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0271231274888805 0.00451435802719223 0.0031575682834059 2.93500964086026E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0448207586593311 0.00711927775122903 0.00856647587712799 6.96030578732506E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00409023850034777 0.00307528945421236 4.07588988694209E-05 4.05385688187327E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.016963387914666 0.0127786597055668 0.000750977421386389 0.00069065492539528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0327739544262452 0.0239869954896005 0.00297584173386607 0.0024217561880735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.052220262509323 0.0319189516815859 0.00800414372677993 0.00438200463925147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00358462772039846 0.000794465026084003 6.22333722359591E-05 5.44548356837512E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0233089618394681 0.00369970684932745 0.00241741603671063 5.33579714797522E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0521752739349823 0.00853897906012911 0.0120726564399686 2.67131268208575E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0880137561479763 0.014881371816985 0.0342660086580284 8.2818865471122E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00928647691087719 0.00896757601179713 0.000295555773316761 0.000199855080961944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.013172398714696 0.00423570235588323 0.000750464716207547 3.76802878278284E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0272620667232688 0.00489568219416444 0.00318659089284352 3.7766032120145E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0448810080421877 0.00719181430063872 0.00858724505626069 7.27275977784589E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00753657618009141 0.00563106564838201 0.000141070152142399 0.000114811306185152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0171156911093426 0.0127494537344426 0.000762229081210165 0.00069048161630314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0327910111726692 0.0239691564317445 0.00297762309396592 0.00241921608511002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522182969995445 0.0319131747263772 0.0080022582708903 0.00438033637062823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00712483117695083 0.00400179933789687 0.000184135733907537 3.57340376616593E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0233932270759605 0.00386695431900344 0.00243420728836034 7.71890869835592E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0521912763542073 0.00856916135461623 0.0120831719732807 2.72124783053154E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0880147059991842 0.0148859907898424 0.0342715604564071 8.26909656552107E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0179174017858602 0.0178737016423339 0.00103401503605175 0.000797180492648579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0145895286390548 0.00757650401565216 0.000908746296185962 0.000133417144810044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0274560773305934 0.00594368752204927 0.00324054077270507 6.39902502894937E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0449765340408219 0.00744916283009122 0.008622971985387 8.25552973641482E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0127594633141089 0.0101860773529348 0.000441653034375048 0.000322066481693254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.01744107627984 0.0127486069516139 0.000790160543474488 0.00069607446150159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0328347886140018 0.0239479130252494 0.0029844796359801 0.0024170831448991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522194377727132 0.0319111592791324 0.00800225463161924 0.00437936862468465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0121577991885819 0.00790657565385498 0.000496054298685904 0.000148030706036889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.023559475943215 0.00430316306617048 0.00246976055012186 1.51563371242871E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0522245122691595 0.0086293316574408 0.0121012887293313 2.8924036907402E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0880185712643304 0.0148973586003302 0.0342811625132359 8.29501344491927E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0357814197137025 0.0354434232621868 0.00401172963350792 0.00308143243826943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0195957321641283 0.0146706421567784 0.00153612671973658 0.000525091550207245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0282320160357648 0.009030505079711 0.00344584100656303 0.00017377982381664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.045189544495901 0.0085425663256383 0.00872239771638944 0.000123963752037667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0240819247942207 0.0198041979653711 0.00167939458542017 0.00108750358553405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0186388790176763 0.0129867807862743 0.000899810408848978 0.000731614628421435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.033033526092375 0.0238643230088784 0.0030194424626184 0.0024074147501938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522705809794274 0.0318717113375912 0.00802242140878783 0.00436614859921882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0229568321017914 0.015780437465638 0.00168125495774214 0.000603131491575242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0241442229368347 0.00600473019056747 0.00259697701518396 4.83088100005228E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0523310634057832 0.00880852834817952 0.0121521153355237 3.59029127092649E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0879984819260345 0.0149194987946597 0.0342843185275708 8.43409238741877E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.10983223667666 0.102992652616187 0.0387782201410408 0.0242828874953125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0467820896416965 0.0430094485637712 0.00767584904513194 0.00446798220639959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0374193352638205 0.0241724914908111 0.005742999067954 0.00139075174176411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0475188469668498 0.0165243852080042 0.00972230710374058 0.000594688958428814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0708877122398193 0.0590193328005223 0.0156587143235611 0.00855519076180264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0271406116430102 0.0188940822129078 0.00197711198910312 0.00133229831000829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0346025863238986 0.0238042933272938 0.00332241406586508 0.00243959760518801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0523662179080995 0.0319859900407251 0.0080673298461616 0.00439167779115916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0672492122232169 0.0474692051316446 0.0141189973788659 0.00539708354591048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0310063799502389 0.0154268124891116 0.00402087974290467 0.000473412295159264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0534323549259187 0.0109514354190851 0.012679498754153 0.000117651246953506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0884161322211248 0.0153165439743672 0.034651385068906 0.000106586498705082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.184691248182141 0.169166262172261 0.113657156928796 0.0632918354224558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.077117539224992 0.0705596835052429 0.0200977644384964 0.0116889946437786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0513491527868241 0.0396114092655686 0.0101777847652888 0.00373600179533332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0531565851556087 0.0260056700100934 0.0119137290313887 0.00155408825211666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.11785533146913 0.0986851911562222 0.0453559171254724 0.0230298603877681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0385652075964187 0.0276579506541072 0.00416739142235297 0.00247802787735454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0376698208826815 0.0247542924955498 0.00395654330816038 0.00262026357680054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0529304911873981 0.0321592622421963 0.00829699384078548 0.00444387598493943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111620405526736 0.0794536405467205 0.039539083089763 0.0149028238288791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0412230364490332 0.025394275458574 0.00669994241496065 0.00137875021246913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0556062796131134 0.0148233158642 0.0137086136121987 0.000301837374116185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.089297722078455 0.0161270826179632 0.0353961527562205 0.00015555169127002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0289775219858586 0.0255377816424883 0.00276465009223313 0.00166633493093868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0174044293925762 0.0110139408000475 0.00126112574735897 0.00029794318838719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0276734438594336 0.00748128289657808 0.00331441229802859 0.000112443208177498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0448763232999255 0.00791654774426097 0.00862077531621212 0.000100774209785363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0187428412272708 0.015284422991347 0.00101895887656452 0.000682819709359085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0180139381331776 0.0130730946704827 0.000848969186659037 0.000733517034767413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0329588983436847 0.0240129743526223 0.00302331507876572 0.00243216858186344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522907683097796 0.031966365823797 0.00804766038139723 0.00439024643902045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0176909503994873 0.0120525144751394 0.00105463508109758 0.000362968969088641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0237964625795412 0.00528672546883212 0.00250725817084198 3.24890142373093E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0522640633097181 0.00867178644946752 0.0120989325348144 3.27226795739193E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0880841399498941 0.0149089902227608 0.034297640353804 8.43645594926411E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0585058213731214 0.0502839024067037 0.0112180782112519 0.00625806783107813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0274728833166647 0.0215313203573678 0.00292939948125731 0.00116589813786946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0300898104025396 0.0128030118055877 0.00389163591857013 0.000374223353982003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0455459428072009 0.0102667715444532 0.00888350312847011 0.000201131328071969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0365386433004158 0.0300869851818577 0.00410121720815078 0.00239964212261153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0206703659628447 0.0143442329151555 0.0011274842262276 0.000873542157766166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0336115404741954 0.0240314898256424 0.00314022744579435 0.00244941673256441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0524846993056659 0.0320305749972615 0.0081268735400037 0.00440267250811369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0344211726226279 0.0240549083059119 0.00389218641916455 0.00144592542144953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0253558096128602 0.00855519964037789 0.00281200362482387 0.000128054709369206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0525633997572708 0.009186393873012 0.012209966791104 5.2285394079662E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0882170703927953 0.0149965601847651 0.0343800358400186 9.0316798608827E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.118900191857113 0.0984794370312373 0.0472601179302798 0.0230237725645364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.051448444008764 0.0421870979997795 0.00954657517713588 0.00439965351551486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0387270632563075 0.0240718362901281 0.00622758467833373 0.00140788895076437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0482228254661073 0.0167557427553036 0.00995919183676668 0.000619129274850178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0727053622450664 0.0599124544593197 0.0171283735282219 0.00884224243585049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0286027059931447 0.0197690752636161 0.00223938913087497 0.00147203161661556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0355334600943311 0.0243345941801258 0.00353764551011346 0.00253202859659816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0532341789742233 0.0321667171327226 0.00839298697713124 0.00443467232120337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0685377980388427 0.0480056491804228 0.0154058471048514 0.00564932256281234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0308461400829723 0.0159832772557585 0.0040304202163773 0.000547355206736403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0534601746655541 0.0113469958366657 0.0126195228782669 0.000137382367864281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0887395500503949 0.0153531544050629 0.0347231158626198 0.000115662763162284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.360045697070214 0.291939471443765 0.466383020245713 0.186419298268106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155494582279108 0.122053882216022 0.0832908191559199 0.0346484300057858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0907452562852275 0.0687280641253045 0.0306715932614979 0.0112860243542277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0730281086736915 0.0450077643342463 0.0217177274089618 0.00482445827336658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.220000479622968 0.183640840362651 0.174170758934452 0.0785809726741036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.071337026491747 0.0500700084840314 0.015315586815085 0.00700952951259178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0510543956027909 0.0306058908694672 0.00771867620908877 0.00366560433798099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0589476310897573 0.0333241379713304 0.0107572742425902 0.00470987086545738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.206014256983314 0.146390288654083 0.147553154013671 0.0510871074884794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0658738772500377 0.0469556133206408 0.0168377007535487 0.00515414188180511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0630975252399144 0.025471383890866 0.017452859924409 0.00123513235581969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0927218968355753 0.0198041826710527 0.0380734378480981 0.000419061443563701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.589795296353647 0.494331369076483 1.33247851169766 0.509872662723771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.258006746751709 0.201120371154203 0.23136309265616 0.0914361260410419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.148756919859919 0.112156130334347 0.0783472998616251 0.0295158881711184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.107497315072688 0.072857132488922 0.0441177620394422 0.0126087519754817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.374639303927818 0.315028770297409 0.540467842381701 0.231985153927397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.121115088331836 0.0855149577894729 0.0468333956659748 0.0185033696067236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0751195423415996 0.0436475862228578 0.0174964566488874 0.00626251422988029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0707876823729572 0.0378050160120021 0.0160673919724874 0.00561462251553764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.3460304804792 0.252226254759669 0.443298574378058 0.151995988164753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107235622843491 0.0788648482307685 0.0442785313684985 0.0146589460853677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0805785063663803 0.0415954680941606 0.0286142827461631 0.00371382671763259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.102213793697905 0.0273981743226153 0.0469846565295566 0.00113700172456212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000914670995711969 0.000258645534637821 3.59409270165708E-06 3.10600020318388E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0029826928816588 0.00084413657176909 3.77875030334492E-05 3.36493611656043E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00601350766924185 0.00174610071258066 0.000152980760322022 1.44781959418759E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00995739655624856 0.00341537940766381 0.000434832776680445 5.45882419378901E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00101377304224201 0.00120449766390689 3.27434305246332E-06 8.70753089888026E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0041568128334408 0.00564738296871908 5.31848808571254E-05 1.61974516918004E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00845923806421923 0.0123656084186089 0.000221131647121938 7.25227121062108E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0146184408036118 0.0200984490986562 0.000672927254176752 0.000237210111786774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00122129950455361 0.00245884498363055 8.75951327965423E-06 2.6670493905624E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00646020951141355 0.00587351606905941 0.000197420598551107 0.000148770229166994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148451861212271 0.011479333281804 0.00103061747327907 0.000569999697953311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0264671401954832 0.0180719413495977 0.00327983017633431 0.00142028046231231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00911791777980386 0.00514571230153701 0.000225503724209364 7.52501767897593E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00466743886055516 0.00230545047861808 8.23778558572608E-05 1.81599298712015E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0061409564311271 0.00215713438986569 0.000162582567700898 1.99345995376136E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00995737357757661 0.00353814157529999 0.000437440368014261 5.73508536979867E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00563114881725798 0.00310603922450943 7.91248156387411E-05 2.00816103376776E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00463521823484567 0.00569161978867831 6.02628614760528E-05 1.79203332514642E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00855976773112098 0.0123699292612297 0.000223048830645477 7.34676863459536E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0146444841006866 0.0200987439609868 0.000673438936300022 0.000237711052078585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00552539814341811 0.00330657735716595 8.99145272498025E-05 4.60874118770628E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0065910618026053 0.00590286929427594 0.000203730846838355 0.000150277115224107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148330560343799 0.0114809721743185 0.00102894886632422 0.000570138737135557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0264508541408597 0.0180797834522938 0.00327516392685411 0.00142124068098643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0182017494465328 0.0102665273250629 0.000868061603653683 0.000293588798599088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00809756581244682 0.00434046662336445 0.000212806239032588 5.86553439432389E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00699011537009203 0.00299123594737709 0.000205001048095514 3.44259025373265E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0100806350470387 0.00382264543185268 0.000451444842324364 6.45354868439067E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0111027442095339 0.00587957995911804 0.000307872552671279 8.37266622621296E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.005571933148693 0.00583151574593555 7.92783542160227E-05 2.2399488880001E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00876828376957267 0.0123891639446945 0.000228236486477237 7.52209893884834E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0147060559240735 0.0201032829310387 0.000675637977635569 0.000238671619537587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0106711186892656 0.00522111360888545 0.000312286746710347 0.000103121026322135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0071352087352266 0.00599399992274238 0.000228680856062196 0.000155207563666471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148586804846259 0.0114871313745526 0.00103144827337274 0.000570996572508352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0264458844365208 0.0180877752371055 0.00327262412521495 0.00142245329631045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.036410032712044 0.0205575037190666 0.0034334404612119 0.00115413984971647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0155723617886325 0.00854020107863424 0.000701986300453434 0.000214634525001477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0102610199162947 0.00511096436290755 0.0003867722559695 8.85993267059983E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0110168180405465 0.0047418457738841 0.000527687275528876 9.1371469355131E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0221323123024124 0.0115633249516944 0.00122966874061049 0.000348044910976994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00800205883908364 0.00645340628406456 0.000152720516540229 4.01721549415073E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00936004764689705 0.012461847571767 0.000246934683853656 8.11116742156888E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0148925393984726 0.0201128736883464 0.000684039863005782 0.000241628402508533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0211667921052058 0.00989268505205552 0.00118344392005365 0.000322203319139197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00902569497804239 0.00633833950676039 0.000327260601778121 0.000175134753163046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150547729932747 0.011531654742261 0.00105102500090589 0.000575781525533713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0264595156639983 0.0181057702404666 0.00327223065469241 0.00142574329642099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107594531688145 0.0630495272156078 0.0306591568012778 0.0101357334175472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0462863307077208 0.0254816977941005 0.00568355281964703 0.00181745617431432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0267814183996025 0.0143876922850482 0.00212556444811252 0.000618894545284946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0197714940640924 0.0101070585970952 0.00137597034044646 0.000344111454697606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0661663362566169 0.0346876735096197 0.0111451829510799 0.00319853968827421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0195914979200152 0.0115743633687414 0.000932751939296265 0.000251974771898841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0132145404602219 0.0132798264194838 0.000431109273132692 0.000137759601427705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0161742354958239 0.0203322469631635 0.000759344891613353 0.000273655653246157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0631869665060946 0.0293214692421995 0.0103858234884524 0.0024767248479159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0198388152369741 0.0100595783701213 0.00125856041494331 0.000404116833794548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0174189905131529 0.0120159355311233 0.001304164653209 0.000630067314363701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0269023984511109 0.0182936680078236 0.00334325426195101 0.00145846235053285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.173799234692555 0.109281570064331 0.0836109169956787 0.0282824465105246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0768012551142673 0.0424300880148713 0.0154804844230227 0.00492741014582491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0440742100352172 0.0237575366230156 0.00542228368980006 0.00163098881468897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0305138579192642 0.0159991244975375 0.00293792508078264 0.000808221762057111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.109082502632505 0.0590346335781997 0.0307116855556612 0.00899010586845866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0318588948561979 0.017949606316027 0.0025078747963394 0.000716020791304967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0181573890854459 0.0150511150752909 0.000794481693298848 0.000252374616216186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0182120708964927 0.0207491787817098 0.000906319330634049 0.000333058239393911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10447214421556 0.0492553326104664 0.0286674539964906 0.00664464366250674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0319278590285127 0.0151628632498214 0.00302251783318648 0.000837760486497658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0214808814945689 0.0131373592201141 0.00181619101873581 0.000747992173112913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0279049474562443 0.0186110622858731 0.00353759052094223 0.00151319416359194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0286549281346889 0.0160774383037909 0.00218419354801011 0.000786521900213041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0123199176901469 0.00677727470041326 0.000464571518508502 0.000149229130331037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00875586473736145 0.00427781118964757 0.000301036629926955 6.66540452036297E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0104929307109638 0.00436097647866372 0.000487918736171857 8.03600701021506E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0166777947830728 0.00933559358765089 0.000718487860380392 0.000244918412482509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00650802544619405 0.00621905043537932 0.000105036627055226 3.25090974122444E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00890606391993426 0.012456347034601 0.000230922591562072 7.73664288091909E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0146338497645892 0.0201125764558878 0.000660986086058541 0.000239151438217021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0162513953560545 0.00803049851110934 0.000720263239297502 0.000235993112198355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00806458025543402 0.00627508075499785 0.000278629681996725 0.000169582946421233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149531035123282 0.0115198283591852 0.00104792090639341 0.00057436460396627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0264809519169425 0.018070149338636 0.00328380876067544 0.00142070775550108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.057104370726828 0.0322011482166634 0.00866677442473048 0.00309240068549485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0241567215013062 0.0133939375133682 0.00165276085933346 0.000564761002599255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0147146260495335 0.00781078421339583 0.000733609327135347 0.000206866176003878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0130014103227521 0.00620997517064873 0.000700666695849522 0.00014883031070663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0332956456776149 0.0185232955334878 0.00288050213724703 0.000996033846924935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0104074901139343 0.00769336241943278 0.000265836784493861 8.25701674515549E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00996585524233363 0.012659281180935 0.000270138652419069 9.1416707625065E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0149710808056598 0.0201940328974753 0.000680867602405569 0.000246739565274075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0323454594959518 0.0156039615698522 0.00279558958259758 0.000819375939731094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0116207298055579 0.00737770867810353 0.000504624352772592 0.000232656057565975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0155420099314978 0.0116762397780021 0.00111821899747186 0.000590304378011955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0266667755291096 0.0180814763560599 0.00332928169372906 0.00142412801753068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.113036968100158 0.0655677033380555 0.0346355020573429 0.0122532896409176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0481166100420131 0.0267249748386876 0.00630324863995757 0.00219893025178504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0279003367118663 0.0151856958773874 0.00234047883909483 0.000744576987536665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0204470359252486 0.0106777663201286 0.00148740407829726 0.000402670099250641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0666185248719125 0.0369792468951355 0.0116565022161132 0.00397843012608099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0191520049183791 0.0119460952804645 0.000929094923088395 0.000298236363063198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.012788873257145 0.0134303152016441 0.000416865742274122 0.000144765369649295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0158341559021643 0.0203954055222658 0.000727654239757163 0.000275431270934524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0646167590982894 0.0309770217888515 0.0111400010645902 0.00303579026826592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0202011665277057 0.0109057741027148 0.00132046211534044 0.000481620283528866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0177037013570649 0.0123510839375696 0.0013679440121677 0.000659342133064522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0270187917249336 0.0182976830299211 0.00340571678388249 0.00145694226450855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.317101980258468 0.216041721318664 0.305929055064354 0.110135599482472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141175686400206 0.0820343539852736 0.0540922154380528 0.019465459662177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0815797793524353 0.0450329613519835 0.0182430310127683 0.00623365437806326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0552959654177246 0.0298842678379575 0.00895497646135741 0.00287505349801871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.193043059492744 0.117699583747888 0.10442836116266 0.0359241678392932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0569200402684249 0.0327009994518993 0.00839447157403935 0.00283358873348707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0291560831812349 0.0210276586948569 0.00211462002340597 0.000757465809159154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0229293630157106 0.0233599237013545 0.00138087687949793 0.000610320834906809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.187903440822548 0.0987155337344987 0.100026151349277 0.0264595576117983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0574562209562863 0.0289164596392161 0.00947071860641773 0.00295060792260772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0328999390258833 0.0182265710088508 0.00390166280325236 0.00138109660773378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0323605743677623 0.0203910622650038 0.00463936256300726 0.00179048179403794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.506427945064413 0.384815533644055 0.85013492868246 0.307610175701258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.227245466912375 0.142579601938887 0.144741738192518 0.0544390459823166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.133509329369135 0.076031016778717 0.0481862318822734 0.017002415516175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0903458985406042 0.0495187617064691 0.0227298214974308 0.00757553435944428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.311859682942972 0.211557100147143 0.292360879820044 0.103875495696276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.096354828387016 0.055189736661719 0.0242364414708895 0.00819259700718708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0481619668076007 0.032126576837611 0.00581300537895877 0.00211982148333726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0332162332900722 0.0295906605628665 0.00284479101258369 0.00134308784939946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.302059920891943 0.17841033974507 0.278416721056308 0.0761653921941071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0945398274094221 0.0486910716363029 0.0255548309048845 0.00787858729478742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0515930288710611 0.0268249118002385 0.00890927570213654 0.00281198725531687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0415941345167287 0.0243813828572079 0.00725766603154934 0.002489782200896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00159992197507675 0.00200986216276097 1.12270699668193E-05 4.00648490828586E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00481852919194818 0.00710716091432696 0.000108527770227264 4.5174553386855E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0093300511379688 0.0142567387487045 0.000404417542301803 0.000169299329183361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0149982039756853 0.0231739144845713 0.00104310622093054 0.000425354482434401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00202664032986307 0.00222950800921748 9.11404216208063E-06 2.8363844354631E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0107255274552741 0.0120369707231124 0.000106476596828126 0.000786690705399307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0236545246901592 0.0260249895217442 0.00045584044786558 0.00363711539803576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370171995472508 0.0409911534692887 0.00135948527215557 0.00882053126546647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00246573184928635 0.00537573498153695 2.96655403511564E-05 6.9584231967802E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0110532052281376 0.0212224846050857 0.000619264981716318 0.00077693155126206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0248183743402535 0.0460983104345606 0.00319905200147865 0.00382101780683761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0413676239587073 0.0736018087153987 0.0092364185947635 0.0105080637960183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00886379419072711 0.00853843071658958 0.000241416344853163 0.000175849693894132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0059569788893967 0.00814126791836036 0.000155222347150655 7.23939677283638E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00958054265718085 0.0144293895491711 0.000420841591480797 0.000180624145165912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0150953080539394 0.023246920645893 0.00105161962231108 0.000433925570226339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00598249655938736 0.0054781376019192 7.69921156527065E-05 0.000108217559967005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0108508908045299 0.0122170839179433 0.000110301816402704 0.000796173149741242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0236730641601956 0.0260360106324708 0.000456461055955857 0.00363355667575109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0369977603365267 0.0409764824025637 0.00135725554578885 0.00880683354539778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00585557784665411 0.00733515714063058 0.00012007413978395 0.000106873421045477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0112005839475965 0.0213392118184989 0.000627953666032108 0.000784933590621339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0248153793094669 0.0460897851411299 0.0031955859074544 0.003822809932245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0413527314188718 0.0735582092575299 0.00922601664178885 0.0104967672595801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0175355953490189 0.0167257069745644 0.000900144887827979 0.000730011223199474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00867129231791916 0.0103282070487587 0.000291973603899012 0.000155501475908548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0101332098736199 0.0149839963005503 0.000464409444990513 0.000208431131120827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0153057319851055 0.0233922460982416 0.00107376683633929 0.000449720301353315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0110752474686258 0.0100684761933879 0.000296942209661582 0.000322861448772521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0112593389756964 0.0127457240848314 0.000122123842469317 0.000831367783275962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0236998949837364 0.0260898400347751 0.000459433546376857 0.00363737926799269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0369851406801029 0.040969285793323 0.0013564159783281 0.00879617426147995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0108430340733427 0.0106421830654644 0.000369695252216704 0.000224239290826845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0115587782139274 0.0216429480514401 0.000653233007450425 0.000799324821786128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0248651703678693 0.0461154200437364 0.00319941870059402 0.00382686850494713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0413572190126565 0.0735224333161875 0.00922050898798902 0.0104877037512849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0349512344329244 0.0332652704873144 0.0035024584377513 0.00299012520651168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0153853579975247 0.0160611180501246 0.000803436243298519 0.000514364388918864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.012268276372876 0.0168653670863822 0.000642781867850928 0.000317034078006841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0159422814615033 0.024040750781121 0.00115191184982569 0.000503709304244718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0216328557363174 0.0196665290523244 0.00121214861169979 0.00114224364806336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0125600376135874 0.0141122427153003 0.000171451663100088 0.000945091977003674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0238258929294255 0.0263296686603186 0.000472436325404907 0.00366766942563751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0369736114534385 0.0409896242196266 0.00135887828416728 0.00878592227506885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0212263566421397 0.0179278475528296 0.00133283756071485 0.000714980505156425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0126500828640765 0.0226173770744313 0.000743421811885114 0.000848257183925396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0250332672650278 0.0462650889262352 0.00322010973858225 0.00384182564282312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0413918977997743 0.0734745201552149 0.00921879055904749 0.0104762288020026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105041805229525 0.0993822157990275 0.0316451237519904 0.0268262578587575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0441623833421101 0.0435340833208492 0.00588307831711954 0.00477194042261231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.026551160092368 0.0288155844910575 0.00244862880786951 0.00156039934613263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0220828009713147 0.0294910305429608 0.0020054114484602 0.00104323942473009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0644246143388835 0.0586765034635537 0.01134345520393 0.00955431420119211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0213213038822799 0.0223541862446244 0.000773826318136462 0.00196462461682148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0256577244664247 0.028554056051317 0.000621500997933977 0.00404460952342183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0373086832762046 0.0415279455531783 0.0014282481402268 0.00888054348471233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0631385997296461 0.0494555356798282 0.011439994490074 0.00617634431532712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.020165543399515 0.0287801069087117 0.00160306228762252 0.00133879908018226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0265915781536203 0.0477726213610216 0.00347788436628822 0.00399106508263339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.041843419716804 0.0737234055192446 0.00932509401654157 0.0105043332324442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.175704943778241 0.164837220941039 0.0897214407849983 0.0724617397897291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0732385690305588 0.071746545932575 0.0158261108101618 0.013512278238771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0424634221128249 0.0436608503824117 0.00581500848125616 0.00424943446079232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0311566220856009 0.037100643982212 0.00361920797447337 0.00215645219487539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107077419207658 0.0981587194545233 0.031979724107421 0.026195293995028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0321634952085935 0.0328857892486113 0.00210910554275688 0.00388519129699056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0290039509850319 0.0317844873749885 0.000940845697463556 0.00474452668752773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0383765441926405 0.0427843662124606 0.00158796581159079 0.00922640628846218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.104950297042596 0.0820649952481446 0.031756235326766 0.0172188021684007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0303906605897489 0.0366286474763506 0.00326232416201066 0.00234657299583136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0289848818012222 0.0501908973591256 0.00396348440960512 0.00430017953574638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0428096687843344 0.0744871853371993 0.00963171730323073 0.0106849202007398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0277726277393026 0.0273832716252819 0.00227012352406425 0.00221827854239153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0125608303045462 0.0138286907915027 0.000563130489929765 0.000377808475809729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0114895521261575 0.0160357560225278 0.000570017074375017 0.000265470180005911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0156931128475354 0.0238300570812525 0.0011225405795892 0.000465139773164612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0169998570657159 0.015715476037403 0.000740920845352694 0.000825435071208968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0119362114001158 0.0136989683748369 0.000142606316947495 0.00093418578801044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0237140659507337 0.0263193248228705 0.000459848985387068 0.00370967417574382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0371024822951423 0.0411106263357154 0.00136108980935531 0.00888812823046411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0163776303155263 0.0151032923314425 0.000825192996855798 0.000504147981987076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0122166982023592 0.0220252482529703 0.00070956792151493 0.000792717949422821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0250690616427457 0.046226871064985 0.00323650017020441 0.00382123471604543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0414671347515964 0.0736186185131781 0.00926767679835831 0.0105608747090325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.05552737108421 0.0545181171782664 0.00898875998281323 0.00893791375318279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0234964087344945 0.0243819304219602 0.00180292742257608 0.0014908601058726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0161503308385833 0.0199522922307016 0.00102454288722133 0.000580067449728169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0175084528396078 0.0252174595767629 0.00134355716747132 0.00059592020893623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0335355541612878 0.0310012235790617 0.0030294451644189 0.00307397734296707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0145880962257531 0.0169499514932485 0.000269107556957553 0.00127193272748111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0241259124755907 0.0271165232695209 0.000487621057842494 0.00386656271861792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.03723335820464 0.0413609866016208 0.00137525619084889 0.00899629936980118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0323312442380424 0.0276597813495004 0.00310462517215162 0.00192755379295117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0145314509474946 0.0240141475618132 0.000932718481271024 0.000888645529619673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0256145962317089 0.0465685358522809 0.00332345127468132 0.003846236292687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0416764587239082 0.0737303530339147 0.00932990057937808 0.0106344968941344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.111452993675536 0.108735213203946 0.0364523644166484 0.0353903098816755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0461890750423794 0.0467336535652229 0.00661009261989319 0.00617587450178318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0279075823967099 0.030388196433409 0.0027288564315583 0.00194670059987757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.023310841342088 0.0300011630396104 0.00219035515677073 0.00115072743788307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0667984644781402 0.0619232256440835 0.0124230004779391 0.011935519675492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0217347115516649 0.0245381125041812 0.000839141331491404 0.00238173793624057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0256589891568447 0.0296975802285836 0.000616487686714761 0.00439075156868538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0377234572244609 0.0422785322954643 0.00144329001215727 0.00931764876497998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0644803431439966 0.0538732451897284 0.0122170994388782 0.00782220999575099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0211644634709634 0.0292635190667297 0.00176084133465789 0.00134032374663121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.027229867171068 0.0479941382791381 0.00361748361666919 0.0039647931017792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0423691361439417 0.0742000570331269 0.0095323525408372 0.0108188571497197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.329936026213835 0.326482867399986 0.338957211352156 0.288313215177956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137304638846849 0.136702896970743 0.0566624678507011 0.0551874916684136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0784833380035525 0.0794819356248066 0.0192493384330521 0.0176241220190703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0544001554288279 0.0574709835838945 0.00995795265347384 0.0076683641530953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.199635310327161 0.188287309363375 0.117698029902245 0.10480164123462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0576624784408019 0.0612702207717182 0.00817373629060541 0.0129973023074462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0391746090052288 0.0454363305687953 0.00238353239982087 0.00876993638342994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.043223908693714 0.0508569150699148 0.00231836548413943 0.0124510330786958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.190525824782319 0.163905271464421 0.109339155844997 0.0718899932484449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0537798325671807 0.0575873910725531 0.00970888100210888 0.00704779937353094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0382966306100761 0.0587701760809039 0.0062703461878175 0.00563688439831673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.047658282284959 0.0802796064312059 0.0114652147288184 0.012745222250729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.541595210424581 0.543128811745511 0.977491199587599 0.73225731683924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.226122244938314 0.224995949407617 0.15409184161121 0.145384596486918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.128828075474094 0.128880404556846 0.0503323161403408 0.0481267204643336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0870971272797211 0.088305830974908 0.0240269723631722 0.0209878734172249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.334463256996565 0.322918777678084 0.350546049448273 0.294703798191001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.098078446417962 0.102929723629154 0.0255986220205236 0.0355380040931918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0593694303083227 0.0659666464039356 0.00701388904258897 0.0174557637591924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0544095881020838 0.0640750144758154 0.0046056045310369 0.0186588885090236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.313996633869857 0.281784951232011 0.311118220245346 0.203167776284466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0882426681360447 0.0917350643461686 0.0255990403970041 0.019601406539574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0544907972794179 0.074538800223576 0.0118473561057417 0.00979164369231575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0569299500923968 0.0917149728211864 0.0160334027912333 0.0176956069947958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0057343418900072 0.00119060555902661 0.000155334296849641 8.06408628002874E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0168426101414835 0.00112110038551138 0.00132371679360394 9.60676997092895E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0295669119205481 0.00192795330149941 0.00403670668671733 1.18003660711163E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.040844200735619 0.00583033652960457 0.00770178441109954 0.000153673461946561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0116113543402129 0.00816518509057927 9.81552140120751E-05 0.00028883520898301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0461605121764767 0.0289967058662055 0.00158573649929009 0.00363510089886229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0874273139849582 0.0530433084705558 0.00582858996807241 0.0121329271420116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123452710046224 0.0724906187377656 0.0128321112021725 0.0227409713687784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0241103221277141 0.00997075850915492 0.00293789009412772 0.000100523583663645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0874164051962799 0.0325634708248543 0.0390697092781048 0.00101024057819916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193289116243597 0.0658084399308971 0.205169837259652 0.0064538323222719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.325472207370433 0.0964402250807529 0.64340085846188 0.0231109301179995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00919560639546577 0.00987551958530649 0.000342127678626387 0.000220631533517015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0172196669091825 0.00422481469159211 0.00136961911486396 3.5791040110989E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0296828650812577 0.00303712696444303 0.00406018786002223 2.60309276411074E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0409308745850129 0.00618639189869616 0.007722892678503 0.000164251410838959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0122060894789063 0.00998617078764557 0.000123408668357272 0.000410098670128318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0461640739067348 0.0290471246915011 0.00158175983058668 0.00364809210428468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0874085332095324 0.0530570782666585 0.00582414083059188 0.0121385123019428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123442656027132 0.0724939688432359 0.0128352662150864 0.0227427813566884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0245024594945562 0.0122132338363606 0.00300105690038848 0.00017098070413041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0874273655084063 0.0325996127770317 0.0390861040956013 0.0010165538219011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.19330496223112 0.065813362012422 0.205157143339322 0.00645447897141518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.325615527852199 0.0964867388830822 0.643997830779304 0.023134013287964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0154687924057234 0.0196360821104829 0.00086176288928052 0.000906620401134787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.018125112864499 0.0082041172622943 0.00148704344023492 0.000150824872080931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0299535737059588 0.0049717183949566 0.0041144545589698 6.63327942259604E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0411102443579444 0.00694471306759829 0.00776538859574293 0.000190090276727746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0136382353672313 0.0145224855699662 0.000205134771236863 0.000763100926618595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.046199401171939 0.0291411667839424 0.00158451174758848 0.00367375005470647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0874055070070953 0.0530703476122222 0.0058229066565964 0.0121451273295139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123436222415231 0.0724966548036635 0.0128406480685659 0.022744522753454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.025433396903926 0.0166654780780053 0.00315730918818673 0.000404640826550898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0874961977694338 0.0327235103407558 0.0391287975426704 0.00103284259960037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193327091207221 0.0658284728492353 0.205157585504832 0.0064577517997652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.325767674671289 0.0965375176354767 0.644647882552713 0.0231612813050264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0295107575970906 0.0389984943742756 0.0028927696390383 0.00360448625863142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0208825886073512 0.0162560623364516 0.00190348702182631 0.000621535727169174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0308357633007544 0.00938596001476353 0.00430180033002055 0.000225648183481338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0416825376279737 0.00880759447613792 0.00790438141138751 0.00027314516790728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0185986046264553 0.0254426584804677 0.000576851173578978 0.00202327404222546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0464008065911933 0.0295489867177094 0.00161033203100134 0.00377352408511307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0874282901760379 0.0530950791164216 0.00583004373777714 0.012161427761193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123441342507869 0.0724975873868359 0.0128582205450627 0.0227470163994805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0284338112288966 0.0278303538466795 0.00372282053440545 0.00143078214475281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0876812270576916 0.0333580694628727 0.0392491955280635 0.00109574108346487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193383396480795 0.065890053146839 0.205192663844796 0.0064721777346287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.326103808565092 0.0966546217405796 0.646115782048051 0.0232285031958454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0896126459787843 0.114217406493902 0.0260128780994034 0.0300863797367442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0408210816117657 0.0480609716000061 0.0062088169442014 0.0055130961917014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0371997891330469 0.0273241963401575 0.00595009861803187 0.0018494840159632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0449748975807807 0.0187601905089698 0.00888891444780762 0.00103183211076928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.048394914874867 0.0712213447626938 0.0059363521401638 0.0133681370296726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0483485598796491 0.034400700443247 0.00199212125173307 0.00487284753465353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0877536668220045 0.0532900524374252 0.00598498068063225 0.0122956280808826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123661165385714 0.0724583481317201 0.0130207686778083 0.0227478553235828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0490346782786113 0.0766191547655359 0.00949231862652041 0.0127913811908203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0892463345243216 0.0396088641993604 0.040277865164979 0.00178092841802442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193886430255836 0.066624335554566 0.205884007003324 0.00663507859714072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.327819522067895 0.0973210973572359 0.654234930391003 0.0236734843662763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.152434036592941 0.187156835085175 0.076469932645148 0.0786365262539809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.064924951581262 0.0791816325606664 0.014704629000406 0.0148294832241692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0474779849908347 0.0450469980902701 0.00912826158784644 0.00495965654435666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0501139251882573 0.0299848429315009 0.0106367658368867 0.00245151906506591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0821955635382232 0.116044295375716 0.0189862529236101 0.0334874171458636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0521331136008657 0.0431359682663659 0.00285789271580475 0.00702293241000578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0885096018160654 0.054027047846919 0.00634134602422621 0.0126287667773038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124104123206336 0.0723821609026345 0.0133270548433156 0.0227485992085437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0759920862494959 0.124048240370179 0.0217955575470435 0.0342199830735395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0919983855614837 0.0489791383839432 0.0421638887127338 0.00323118318221015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.194755660612113 0.0687065669344201 0.20741734490964 0.00697043793700184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.330179231778259 0.098372947108473 0.666328959196744 0.0244284964083383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0223578535753179 0.0322622127022334 0.00168551608383173 0.00254941977425766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0195253778216944 0.0132987514541866 0.00168728887235807 0.000421019034157518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0305217549438454 0.00773773008152639 0.00421998279999835 0.000156696700249128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0415025408086664 0.0080406812527255 0.00783542003206452 0.000239968940938447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0163773713350118 0.0221175970914792 0.000384436564145883 0.00158290494055784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0463507275224521 0.0293565186530184 0.00160384265367744 0.00371967023985129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0873787242981053 0.0530887439143695 0.00584542919271833 0.0121505059960985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123334591416188 0.072480414383705 0.0128332683755179 0.0227411383093277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0273143059999693 0.024720260729075 0.00349847689395137 0.00105456283746633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0876631440675571 0.033168386351766 0.0392366832642238 0.00105930588798142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193291887735718 0.0659052650414542 0.205331359638866 0.00645982754298213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.325574913974679 0.0964752143189064 0.644348995119849 0.0231617074159686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0442616586360243 0.0640019151409023 0.00625750900680881 0.00996624853753596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0251764685521507 0.0264363864000137 0.00263763958258497 0.00170686543059335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.032262182192852 0.0149990988811889 0.00461740906156677 0.000577073251908081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0425119964925741 0.0117647007717614 0.00808567507050584 0.000450864513247005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0266327176717671 0.0418746522667867 0.00148515326404698 0.00498122374913719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0468845322280575 0.0305064678557986 0.0016907776381945 0.00398253502408732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0874236477778865 0.0531678485397491 0.00589392981682802 0.012187916221213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123262541249604 0.0724985240305358 0.0128584010329709 0.0227499359628614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0339501262261006 0.0448434218136726 0.00495262133036948 0.00412486707807722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0880966941927054 0.0348919102770824 0.0395312140923031 0.00121752048097821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193370533926705 0.0660610815983192 0.205650451741137 0.00649310264987694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.325801604842711 0.0965552477600106 0.645947886349595 0.0232581524648586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0896387285193323 0.126475482412455 0.0257422599659844 0.0379083660418818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0410840756815935 0.0525231831139345 0.00630892332396281 0.00674189744159037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0371566626115652 0.0296457554827616 0.00595844335308993 0.00221771725782369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0447305265021541 0.0206336213395036 0.00873772732209488 0.00122927110196545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0513975686901116 0.0811338386680802 0.00697892533912743 0.017090917392116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0486764494970635 0.0350946560186329 0.00207920065688621 0.00504314757272693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0875896702249372 0.0533913537555878 0.00608551852999543 0.0123000449485555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123331301954364 0.0724831497719443 0.0129886451492143 0.022755359620887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.052059341601521 0.0858275476780917 0.0106775552895066 0.0162472537828179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0892934542448387 0.0408358828317998 0.0402994069815388 0.00189034631525337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.192996175710306 0.0665199550129518 0.205331996687847 0.00658504189893304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.326545342585214 0.0968617451844119 0.651213583189191 0.0236202779305766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.282642595887255 0.368365808057078 0.273228347205188 0.29766077739748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.117069261832854 0.154483732890888 0.0459158278689581 0.0562625992301369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0726593804617909 0.0874106502393858 0.0198527180533291 0.0186101680150472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0618829067676566 0.0577246786281331 0.0155640292747341 0.00863238739039851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.165460115206393 0.232013555617149 0.0879885200517767 0.12487964645518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0667274416153917 0.0715764304419944 0.00710270717261566 0.0160544875583778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0914644772828057 0.0581946924996197 0.0081218859572907 0.0142217481467634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124541367798705 0.0723798321770503 0.0144191645242984 0.0227802025528522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.148822462999028 0.241618030075574 0.0836649695901445 0.128999186687921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10194113706967 0.0764106742898497 0.0496524703255916 0.00992823611819083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.1964020619818 0.0755276213323357 0.215338896116855 0.00836440204802404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.334307938984863 0.101190749153155 0.699351054388605 0.0270268892650542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.486427545208328 0.603231559819899 0.841336315501568 0.759333755625725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.197159424441189 0.253667504283271 0.128985890647741 0.147702780427304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.11559023255187 0.143851404739781 0.0469294900319776 0.0492691082037635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0866941022277182 0.0945311873509229 0.0285258384841243 0.0223766894120504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.293269471636089 0.380859395572088 0.294389446943092 0.320140179208896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0971655406686614 0.115769612606163 0.0199640765017303 0.0369369896463804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100458862423161 0.0708461178291534 0.0126641185226643 0.019167794260442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.12872170521073 0.0739968073223798 0.0176742720950342 0.0235563559076897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.261613706245792 0.388452951281175 0.264060182196242 0.324824622658379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.124518032247372 0.117213535446004 0.0697208914261445 0.0268026573842524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.205637070460155 0.0897586910705442 0.240756429438185 0.0124276597840894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.355108285239081 0.113033313452696 0.8407442250557 0.0377819974725255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00309966660560746 0.00358494745838447 3.89936399560242E-05 1.23347697126688E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00801950336093611 0.0107509732360851 0.00029211409609807 8.82277957416824E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0154192770066059 0.0206006362419949 0.00107120489975578 0.000299465680322696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0236903577187745 0.0311251792883885 0.00248976767222327 0.000614397248858752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00300148010506703 0.00383048387440405 7.76182943175063E-06 7.64368220377937E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0159055539615424 0.0157081751998963 0.000154169637481553 0.00138918758597805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0340960474910558 0.0335070137597498 0.000690525852543841 0.00608340203172056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0540404556088237 0.0541225714410502 0.00215337051976905 0.0153326818175401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00508319473842977 0.0053148683975325 0.000120498105438792 3.8889493276716E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0194324677396928 0.0215386807316811 0.0017943140671926 0.000497053076475575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0432288564776688 0.047943824670996 0.00902406286966486 0.00242704836951419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0762500575129842 0.0846484013823132 0.0288958578960922 0.00803673780085602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0105181681681238 0.00889677423517185 0.000350497453876516 0.00018606083434384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0090606804278994 0.011306262843355 0.000355947294258138 0.000114492846691178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0156324684916075 0.0207536771715557 0.00109330640220342 0.000310713463217007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0237510902770646 0.031210232933408 0.0024995669886813 0.000622625578051239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0068186609596923 0.00662644150647335 8.4091575130482E-05 0.000167599479738855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0159335267670347 0.0160353597609544 0.000160443196489818 0.00141406048959379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0341450221473117 0.0335701575941845 0.000691059443208811 0.00609503108519599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0541333476144452 0.0541996175967114 0.00215267190128527 0.0153594244737831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00747643430576349 0.00743233793077444 0.000224913397326702 8.69197450700477E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0195292838033062 0.021574664823188 0.00180823755113067 0.000501071731777471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433007706428065 0.047998427374436 0.00904798582265066 0.00242968545068956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0763523812966161 0.0847398205458795 0.0289483874947499 0.00802811347983019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0205565962008687 0.0169917077165299 0.00123749132185864 0.000767129614183763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0113224039473686 0.0126555558978557 0.000528706018151782 0.000193381784100723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.016199571832 0.0210657306186443 0.00115694074387165 0.000338784123765659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0239359848751808 0.0313218891190826 0.00252851262797191 0.000638571604172408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0123986667753708 0.0107461253530513 0.00034202703272532 0.000399473886882644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0161334596083904 0.01653360023034 0.000177021011315725 0.00145646676664028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0341625490822021 0.0336534381878809 0.000694829054371652 0.00610579447832482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0541730090562889 0.0542122631241013 0.00215295978261027 0.0153563270728675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0119653796997536 0.0109831026829321 0.000509097986460628 0.00024294495551963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0197187907121883 0.0216861187284169 0.00183667610080479 0.000512027832879891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433233185795441 0.0479943130330548 0.00905672717240611 0.00243375029916986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0763586550855095 0.0847284957916641 0.0289432162894318 0.00801806871781605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0408429670473569 0.0335862269014832 0.00470091750596395 0.00318219540565305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0184367057570591 0.0172929397340632 0.00122085079649099 0.000532347540431808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.01798635888047 0.0221503226243529 0.00138891407179147 0.000446478072904584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0246073893742947 0.0317170422625736 0.00264149580682859 0.000693511129964274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0241119519269996 0.0197435309306008 0.00143724227414811 0.0012704253808854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.017200091037825 0.0178082734488824 0.000242423417727075 0.00158495759016242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0342729849058649 0.0339809578290511 0.000711570681668921 0.00615808940651673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0542605047186683 0.0542675922431094 0.00215890032069772 0.0153629777492611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.022270609342124 0.0191909992215824 0.00157759103199638 0.000910413323129453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0206432861354003 0.022290342577185 0.0019649178129635 0.000555635522582053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433988748766595 0.0480014686304422 0.00908835164369577 0.00244839367363004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0763881813805935 0.0847151964891798 0.0289468773698693 0.00800358090832376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.121789430697009 0.100974599477428 0.0412571563825922 0.029328756745336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.051464414499481 0.0430232617371671 0.00802738239546981 0.0046925506395005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0319856441976453 0.0313402207343092 0.00378230428759897 0.00164518415069611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0296920498277925 0.0352816393220675 0.00369853034336134 0.0012335947782836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0719114295612464 0.0576422366711646 0.0136916106921547 0.0101846106384806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0261034661917388 0.02485900375306 0.00101260385074232 0.00260446741417641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0357584040602737 0.0361380161677091 0.000904219989814567 0.00660826616874078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0549311471801426 0.0550137352165562 0.00225621442199353 0.0155882156115836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0649193420380624 0.0551579066209872 0.012413006562529 0.00846522160776886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0282871500940278 0.0273966620402989 0.00323385215564428 0.00104298567993293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0444420856832454 0.0486019285075503 0.00946445414842027 0.00259501134424902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0767744541017425 0.0847872669100806 0.0291635003299973 0.00802015827551454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.201184988801115 0.169317199334748 0.113812438294226 0.0811303002499039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0850015878821919 0.0705071490463224 0.0211098979059599 0.013448232422559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0500238198515983 0.0445366242664301 0.00835016598614267 0.00424258905361361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0384258238406677 0.0411792304146247 0.00579117642965016 0.00232763336926995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.119768717664281 0.0961548528544028 0.0386775262591391 0.0277561714074263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0381129865802357 0.0335628000964981 0.0027369802646328 0.00440233136649318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0389220364989896 0.0391743068431655 0.00131269951265566 0.007387479341699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0561237400860065 0.0563039665962606 0.00247429546662837 0.0160564368225795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107851383266025 0.0917353921896972 0.034050369251724 0.0236586409958074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.038220432863374 0.0351739006909993 0.00549974844915274 0.00209125921809304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0468468386843313 0.0499851548138936 0.0102753612614556 0.00288640763335865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0774724758887529 0.0850757605505343 0.0296455826645856 0.00815532534227079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0343719196143321 0.0263247639867359 0.00346650337558853 0.00185510837170297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0165747262834772 0.0149023597612349 0.00101092842513352 0.0003384117244814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0177436754294007 0.0214382452767315 0.00133452546130639 0.000377226117552181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0244881280704702 0.0314392499506281 0.00260961185957917 0.000650076501047078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0206921730924978 0.015772854499893 0.00103684543974082 0.000842158558510117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0169232855995847 0.0170999498863162 0.000217332060106225 0.00151800393687079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0341562433996591 0.0337162295854949 0.000716851663513318 0.00612022698120689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.054071289147877 0.0541518538731954 0.00217410191727333 0.0153403813148806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0194206396473589 0.0158164387038875 0.00122794517316508 0.000592720067495809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0204009485511504 0.0218767414751179 0.00193302077783914 0.000527316578552471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433019202105475 0.0480167147612755 0.0090653535047122 0.00243862223824564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0763371224363747 0.0847161182901149 0.0289949564618875 0.00806842428877635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0683233338448428 0.0523829549607465 0.0134736468829948 0.00759278424327599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0299915669020204 0.0242918793603755 0.00297764535363104 0.00120123179268339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0226817894354469 0.0235151874906159 0.0020432298840884 0.000617880016638811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.026442376787353 0.0321732039683209 0.00295082020356634 0.000757838367442242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0409802243971292 0.0305204076849992 0.00433256847375679 0.00299109177205702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0198594671328244 0.0193789435692083 0.000415058946526769 0.00179216873237627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0345889754232687 0.0343233253285096 0.000778703930441535 0.0062419906606224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0541718480636505 0.0543401073778643 0.0022153544873538 0.0154042634210361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0377012817438615 0.0299455775631906 0.00430238570504182 0.00240712702687438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0230484424863632 0.0232420316861905 0.00232162018616786 0.000631729652167566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.043584426412448 0.0481310648837667 0.00917363093440854 0.00247288567613322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0764697072755426 0.0848189367065364 0.0291413645939713 0.00811863965476459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.13550070700695 0.106014510768266 0.0528693779361546 0.0309246753046178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0581538382057762 0.0455226376719908 0.0104231786492646 0.00500719755561679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0360293464823056 0.0318811395274713 0.00467261894156991 0.001671739117946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0323739817766595 0.0348696376567577 0.00419067873224313 0.00119859243142995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0819369628112338 0.0610579688481592 0.017878877852016 0.0115041541753925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0285177929763164 0.025190219836969 0.00129096663731272 0.00271535366467027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0363162698924469 0.0360508533517553 0.00101326196544603 0.00665151252831954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0547729703213971 0.0550659997822319 0.00236490856848905 0.0156700529771599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0746714397368632 0.0596059336744521 0.0162909074005044 0.00997452419490567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0305958480756738 0.0282136225956744 0.00368937654414153 0.00109054581620776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0448723275672086 0.0487250691765849 0.00961134421178527 0.00260918766364746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0769358996844223 0.0851792397297522 0.0296006973828876 0.00827378142952317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.390314831738529 0.333420710573015 0.467332945859732 0.27955710101864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.169533374013355 0.13533627510502 0.0844656920902293 0.0485022373328573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0980595214300491 0.0783874431017868 0.0298753979906893 0.0147710652991232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.068251880390643 0.0582404842759265 0.0159573328702148 0.00647926711133928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.24691969375983 0.187709647645664 0.170406272807419 0.102158954324759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0745937836752668 0.0571361423929742 0.0127766507170731 0.0118266753615182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.052810537586517 0.0480084875188647 0.00381071891224543 0.0105829364804115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0615416162007816 0.0611203975748581 0.0039114288329627 0.0185209629542633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.221836430560424 0.181822636504329 0.146165220038666 0.0910625745898806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0696638113727499 0.0578268945518673 0.0164719795001735 0.00686235474906231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0566971769371007 0.0568639044912089 0.014118186123702 0.00426959347792888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0830670524557935 0.0890517025495607 0.0347714706546906 0.00993289750390264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.628987064870626 0.568093577605432 1.29991154097679 0.748687874881252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.273956377093814 0.226534500673158 0.220337879388317 0.134880627230048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.158363257351667 0.127709173224575 0.0744158325059773 0.0423581514711741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106892794676341 0.0885899600833994 0.0360814655032251 0.0182122722707774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.408653943581762 0.330621120247749 0.491868140049754 0.295513110605826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.126773766592122 0.0960250998720202 0.0397727224180156 0.0318059539230013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0781841661049555 0.0658718875082231 0.0106902005067749 0.0189776835306416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0752471188274827 0.0719119270318411 0.00748631671730542 0.0248573880543915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.36626484787089 0.311909894795013 0.420139698929553 0.253341872879601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.112610822481667 0.092760695719078 0.0418063620866127 0.019648623160581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0747359176190286 0.0727443350805334 0.0233897815691836 0.00840305115286859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0956255486765989 0.0986285868620193 0.0491211534073721 0.0146657644526758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00292262003715692 0.00212612196604794 3.8941199513908E-05 3.87037344537947E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00919688413031266 0.00565235702972317 0.000393126019125362 1.84475641908687E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0178991790960085 0.0109369847598159 0.00147650892894673 6.25340194591974E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0279228919279174 0.0173651542314524 0.00354158243777542 0.000131884234714538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00340319130680691 0.00249959806214298 2.27682079471921E-05 2.86980490501564E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0139716578595129 0.0129427247135365 0.000287616275231118 0.000743133525638736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0293632329946513 0.0278466243721211 0.00115444231667609 0.00343312345264259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0469714083431878 0.0436402737111091 0.00314638786269896 0.00848460436254107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00423113655022678 0.0042878131146095 9.06342809079158E-05 2.57158913230915E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0178226928648432 0.0142242866694439 0.00153854539332062 0.000201649796953698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0391738328532765 0.031052031338615 0.0073589695955634 0.000910493694822902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0667594466842971 0.051788058934805 0.021440551534646 0.00247508710761456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00789241594185501 0.00978630433817632 0.000228017406856444 0.000215572251643156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00968485087886417 0.00687736419517485 0.000431210277991046 4.58645675630034E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0179904866999659 0.0112354519711664 0.0014895504288805 7.10323660668994E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0279317616108191 0.0174852500054923 0.00354466253119671 0.000135596975023378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00597149679142819 0.00604909091970161 6.93258936476678E-05 0.0001277135226739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0141721165511927 0.0129255539059395 0.00028712660199255 0.000743995900978986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0293941313986723 0.0278166925172042 0.00115075719533439 0.00342727938037632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0469723022886933 0.0436296212949538 0.00314165963412439 0.00847725779346004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00658557680350158 0.00671377960923833 0.000175856073845561 7.10618184869083E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.017802156481193 0.014323378571315 0.00154206270394068 0.000205946627303141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.03914396038832 0.0310592785124043 0.00735221759232358 0.000911567589617632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0667283240366169 0.0517888350156665 0.0214205996338184 0.00247332363163846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0150604780093649 0.0191496145192733 0.000759139883196345 0.000890869001577338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0110613046077156 0.00963620189171393 0.000544379613287861 0.00013710618087078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0182457652621482 0.0118718417510464 0.00152757265813347 9.66832401693902E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0280167454770842 0.0177186173115149 0.00356216321471355 0.000146615565881048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00968522907620825 0.0113295197463887 0.000219569814017343 0.000399741498406852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0146195323760213 0.0131073461424612 0.000293593370165654 0.000763219818671311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0294872167109412 0.0277881246308561 0.00114922884531694 0.003424130608228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0469867649862616 0.0436225096406045 0.00313830002451959 0.00847204069484958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0102270552604284 0.0105865610446074 0.000386543393408685 0.000217358804530747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0178653033762826 0.0146824054887949 0.00155834965279733 0.000217251082446126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0391161490485023 0.0310736445364108 0.00734792486651246 0.000914534965845814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0666993697703935 0.0517913579856264 0.0214027905624075 0.00247262437213565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0298171041201905 0.0379894618062296 0.00282914384118509 0.00362903198153824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0153436972406889 0.0167913316881201 0.000973269532687741 0.000549350447387043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0192780325563452 0.0140353895790991 0.00168190248655159 0.000204050022410491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0283295419092654 0.0184527156996353 0.00363099125379568 0.000190991278774385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0179417951558267 0.0222566198643627 0.000856430669631088 0.00143567607137414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0157174368550546 0.014035065518407 0.00032787633232593 0.00085593940383563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0297467539979193 0.027775902032662 0.00115264230549777 0.00343044316270111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0470571315995642 0.0436246710879236 0.00313570392340154 0.00846897356130156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.018450150283422 0.0191536816671216 0.0011692378621601 0.000834998535289871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0183788561370676 0.0159193012068441 0.00163914470993081 0.000262467916761715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0390739857619868 0.0311561079543473 0.00734784755582599 0.000926157165720846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0666492251188979 0.0518028517642126 0.0213739297121115 0.00247442688759485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0896305750902264 0.113248192198709 0.0251431151389359 0.0324659456720732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0383952874034966 0.0475792186462211 0.0051911148088708 0.00536343415850257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0277673014150791 0.0287692328753408 0.00322566113000403 0.00154683698729168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0314769759465203 0.0246054129466944 0.00436616144836913 0.000698733749044233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0525751721102445 0.0664466358148888 0.008073105837882 0.0120574415883103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0222899100950388 0.02212953109029 0.000780609862526525 0.00185035889548353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0316500703145384 0.029006307960627 0.00125610558561891 0.00370053459427314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0476066517022646 0.0439032862335352 0.00317903570059542 0.00856372459080044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0533481589493455 0.054866933366588 0.00918187515587296 0.00763856946115032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0238493981606768 0.0239999365694723 0.00251028044734554 0.000795260777974456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0394100174907722 0.0326269713357155 0.00751176049579402 0.00105062525711542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.066592260837913 0.0520881874538692 0.0213593082508277 0.00252482767324978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150526415839527 0.18716066026373 0.071866714899537 0.0876849572481506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0631802692547585 0.0783910415750245 0.0134016051942126 0.0150788398172695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0397607082527946 0.0456292811677004 0.00616410689256503 0.00445698712387876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0366486046812611 0.0336511651868648 0.00575952500206283 0.00180430628353894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0880421729664051 0.110384014460568 0.0231871870211741 0.0327259267453937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.030731259402728 0.0328281069512608 0.00180237042391622 0.00371944129287241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0344607958577451 0.0315530678147384 0.00151683670302382 0.00429923969933141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0487176883529112 0.044798469734144 0.003315801781928 0.00888318547520112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0888840741628179 0.0904937844624095 0.0253462320273333 0.0210479482244243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0316252006094495 0.0337067884526112 0.00410714160141166 0.00194569163448435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0407830018770377 0.0353453953054391 0.00798954561167575 0.00131208338489449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0668389015715595 0.0527504309723903 0.0215512954411854 0.0026536023915439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0243173205933191 0.0323201646569902 0.00191065210652988 0.00271298392541048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0136475825620209 0.0147038284440716 0.000784191872751777 0.00042949053085285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0188252651319889 0.0136758187265158 0.00161203431366135 0.000182523347522057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0281794794501319 0.0183247486579697 0.00359953717269585 0.000188569964550691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0152599904361553 0.0188551194000301 0.000601119746088426 0.0010587019647537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.01532274352645 0.0138681650094289 0.000325758848212962 0.000838147032022224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0296329987257677 0.0278275055046168 0.00115996504889719 0.00343617512833609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0469998082202509 0.0435662198239764 0.0031408598673348 0.00846122248523212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0155870215248703 0.0166434297035862 0.000837781978388845 0.00061466295757732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0182585810180873 0.0154333735518082 0.00160367162581081 0.000250293320523428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0391433142125743 0.03102066486692 0.00735511889457162 0.000932434352076229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0666921286450733 0.0517046053942658 0.0213989039517939 0.00248687622716615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.048527116411678 0.064437636943255 0.00740732966670197 0.0109142187601912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0222906970434102 0.0274885225055175 0.00188301126041037 0.00179116203634014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0212665254860499 0.0189821030557338 0.00200695015899231 0.000558928052753365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0290115091284772 0.0205174509090847 0.00378852397816459 0.000344764990701899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0297319784614262 0.0374024302111143 0.00244856184351004 0.00397977438463039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0176666354826355 0.0167073701490192 0.000449653313360618 0.00114914781597913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0302855005234875 0.0280870919067082 0.00119233767020362 0.00350420918909162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0472475808988178 0.0435948219577189 0.00315254003918179 0.00848209244871245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0300260651675537 0.0318860460190136 0.00292057472694292 0.00248155247741154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0200587179999903 0.0182926847148029 0.00184825339976234 0.000393021746368415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0392066151161451 0.0314350551065724 0.00739593031760374 0.000978643924670702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0667267679117394 0.0517483290979753 0.021419941433329 0.00251157835219345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0979493636499752 0.127766209025526 0.0300920705423657 0.0424079792411311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0418665502629688 0.0538700902491312 0.00604554952510836 0.00743036868064102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0293479475310494 0.0323490564795636 0.00354446266066311 0.00220117206021971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0319723091509019 0.0269361697704438 0.00451100089204076 0.000992167512562523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0590865737843692 0.0745701600957151 0.010099319511563 0.0153358178157384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0236076641184322 0.0253546067960751 0.000979276027872092 0.00235017021614855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0320646767779822 0.0295255725119669 0.00133643969004846 0.00383726566082685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0479413468629037 0.0439254872943579 0.00321885969197366 0.00862346376716557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0594592101682828 0.0630048317580219 0.0110943063479881 0.01005428891462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0255334654806603 0.0257760021964707 0.00274330615473778 0.00100449904976998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0398568723230133 0.033290963070803 0.00762586609966641 0.00114669147329497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0668842192913144 0.0519759846147573 0.0215217939159227 0.00259444048208146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.310338626960067 0.366998954715776 0.317691387828531 0.323144566507122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.125750949078254 0.157652318738552 0.0510022996487563 0.0648141020247393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0728207398628105 0.0902499277885863 0.0186694817731782 0.0207905194137126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0548146135505728 0.0618452327066797 0.0117918002374282 0.00869894801800923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.181613465649186 0.223020517129332 0.101537966005183 0.129675754672334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.05586261828785 0.0686161353396692 0.00764433197410071 0.0144133672753941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0435892984153052 0.0450735758052436 0.00314573687033023 0.00785764133630072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0529072489484854 0.0497743064295629 0.00417468785325853 0.0107792755832809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.179000826133208 0.188627961153059 0.101258703118362 0.0890908650956137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0565894745003835 0.0613215367538991 0.0114141045438181 0.00823822015410267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0483909950207109 0.0472860123928227 0.0105531982532288 0.00304281477211791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0695144100015576 0.0566143696296148 0.0232181697965726 0.00345510735094216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.534042098510133 0.59217516113738 0.985457097432695 0.79016345753833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.213402939232993 0.255586918135115 0.146516944226038 0.167454097566638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.120245315254975 0.146813737662508 0.0481463136217154 0.0562228351045152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0835182109636602 0.098586300153924 0.0252623688495282 0.0243541614318117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.317225616397145 0.371423545051612 0.321394068985086 0.343778491840633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0932617922994708 0.116225972604403 0.0231629464213133 0.039557726650866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0608408361822189 0.0680958564900821 0.00743496031489742 0.0162483280967521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0612237680057279 0.0621093685326282 0.00639270378209394 0.0157622306931094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.303133303457298 0.314869687018553 0.299266495399523 0.239298327706657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0910337886613906 0.0995972349950101 0.02852872794128 0.0234350673318663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0624223478591846 0.0659392019124331 0.0165818625600754 0.00723805388806662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0761191885052971 0.0659676895054678 0.0275762598064215 0.00534767034856041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00153311737512098 0.00168610621168103 9.17570057442765E-06 2.46259151807508E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00397634336621262 0.00466530718394546 7.17313332901244E-05 1.55926068007544E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00790042285365792 0.00921412205238639 0.000282830077366181 5.78325996649821E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0128547191177291 0.0150020260156501 0.00074451651538639 0.000155658492748299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00143767788077517 0.00145663825664239 2.2749107324657E-06 1.18759680189651E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00763386592125124 0.00711900818097532 4.49175661224483E-05 0.000267088308171254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0167835135114376 0.0157311850106585 0.000208365323810238 0.00127025095780971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0272265532950355 0.0253404713711584 0.000605818257929004 0.00322438447961783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00352344359619052 0.00546175796780113 5.59663929714878E-05 3.48093117148747E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0109861749299163 0.0141902875985649 0.000556228129464573 0.000304973235044806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0233236691476251 0.0294446643938131 0.00254488401129742 0.00140291849818781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393127198803635 0.0473180639297232 0.00728698050927507 0.00356401999943465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00889233128449163 0.00758613532606499 0.000231615155619922 0.000147321264947189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00538358203873653 0.00552731615913296 0.000117037134033327 3.57237589953446E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00823222714960111 0.00936672717906758 0.000299471615631908 6.5150413005823E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0129719337976668 0.0150488728770144 0.000752411458648614 0.000159919009284294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00556809014972016 0.00469089286219032 6.58490244898323E-05 7.47712722241768E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00774540064885213 0.00731978534169603 4.86853662909149E-05 0.000274722204450631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0167798930520655 0.0157320339574569 0.000210541449996102 0.00126885184727144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0272533693069135 0.0253219525433108 0.000608775050168353 0.00321943478824624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00641509828499722 0.0067665481172556 0.0001571366848756 6.30398851527705E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.011019244330609 0.0143387296432006 0.000560694361239255 0.000310725297490454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0233323091170464 0.0294853115428946 0.00254605647151275 0.00140760103621999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.039316323895644 0.0473101431089002 0.00728685620175884 0.00356826460084385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0176578034309064 0.0150467931789246 0.000875075551719132 0.000614238839732963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00822691870945639 0.007613459391417 0.000243167233048352 0.000100402333891746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0089639794860174 0.00982690094080429 0.000343803043846057 8.47856508440039E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0132240149281795 0.0151587201626162 0.000773496862447431 0.000169545932611656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0106777027249166 0.00885245930422686 0.00027403588223989 0.000247156262459634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00819315376635458 0.007798271041289 5.94097203711297E-05 0.000296664203076361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0167999510056673 0.0157687191394294 0.000214595704659481 0.00127139999928574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0272816863997594 0.0253072550539476 0.000612698728472434 0.00321579249384773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0115047369730939 0.00914733271969281 0.000441490892866381 0.000147092904378189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.011257988540405 0.0146592647498313 0.000581772200550907 0.000321088042794969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0233435094195483 0.0295851325081152 0.00254941674948204 0.00141359129041387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393250541789607 0.0473056499065433 0.00728864461866196 0.0035734193790924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0352291269435348 0.0302700702741216 0.00342327730540226 0.00254655757531887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0149951034830463 0.0132564922415231 0.000716339858213949 0.00039535075370826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0113562944350264 0.011507694765025 0.000512594674983952 0.000165695235088388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0140675856934839 0.0156927682779673 0.000852164893856 0.000205640086975055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0211032154590385 0.0174813244186559 0.00113503926593024 0.000920096822898731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00969115041243855 0.00911749738421608 0.000103978646620462 0.000371196558593699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169746512105553 0.0159722280305493 0.00022807856465638 0.0012882547951619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0273096778585614 0.025295354350956 0.000623731968943958 0.00320946954631157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0223584701526504 0.0149532393477796 0.00151556411262811 0.000504078304716231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0122734702405154 0.0156011191578761 0.000670786042150917 0.000355936263850544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0234106317272791 0.0298399531711764 0.00256391745878224 0.0014278596766953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393226787842993 0.0472636153375796 0.00728624192530211 0.00358264751773758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105218265621633 0.0911442976636452 0.030820274663458 0.0229049358334835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.043748038248319 0.0382152065667621 0.00548525839415624 0.0038418938850886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0256994646181653 0.0230183430776776 0.00217091380004012 0.00113920909121431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0205608832924973 0.0203892162174515 0.00162667134943303 0.00059479904858082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0629304756964355 0.0523002054879244 0.010559560638825 0.00790181191015864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0189287076646617 0.0171365189449595 0.000655249590410973 0.00107643937519291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0191149637472308 0.017917238876849 0.000363891540277654 0.0015041636545732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0279213247400123 0.0258395163589117 0.0007062454033182 0.00329048735649214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.066360774912378 0.041689419753601 0.0125312382123472 0.00458945797724378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0205714740759337 0.0210879658906243 0.00159869290123868 0.000710732918652013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0247150432886502 0.0315767183397476 0.002804836277585 0.00154497946692872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0396339568677057 0.0477084952363585 0.00738922389305524 0.00366898631983071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.173744340402224 0.153028903264217 0.0858981136445681 0.0630455691757515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0726690542563166 0.0635899689705551 0.0148743626461009 0.0108939666575561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0415324459940182 0.0366932366785799 0.00530270180429253 0.00326053664308891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0296472849592704 0.0275991793782086 0.00308991915194388 0.00143361822707359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.104689066419171 0.0875448560351109 0.0297226879355707 0.0217125735407436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0295408331344671 0.0266892788686712 0.00186651740488134 0.00241401878221429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0226673932435632 0.0209934574637577 0.000647077222049865 0.00192215789069682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.029292410431496 0.0270598165455391 0.000857700537859462 0.00350316827191582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.110146456645954 0.0693649400900803 0.0344017400778346 0.0129113283108431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0316146805969108 0.0278161982366275 0.00338013973434578 0.00143247859799855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0271975335302198 0.033945543629139 0.00329425191605653 0.00175643860629361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0403709566229693 0.0486138494330316 0.00763150241518623 0.00381747968465148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0296333642159581 0.0246393725120261 0.00247924294466071 0.00169673797546219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0131983986604778 0.0110941613199132 0.000573051773868903 0.000260171748212323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0108790024677023 0.0106444635500868 0.000474177213132456 0.000126950979838707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0140302753674184 0.0153360412538482 0.000846718532750678 0.000187622499767746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.016881747695332 0.0145159586851437 0.000740253033346794 0.000656852626147978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00928419291036768 0.00867824624007722 8.78041208341437E-05 0.000350519199275915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0168976789250553 0.0159578137116937 0.000218802905586089 0.0013017659021531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.027299118889707 0.0254495948618716 0.000613511399187054 0.00325220153888666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0183632495033839 0.0128313544749353 0.00105683463438363 0.000347947939497761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0121443464449419 0.0151789645853977 0.000660009708331739 0.000330125628431891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0234107881052702 0.0296071086319091 0.00257120305436697 0.00140562277675014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393608770357154 0.0472909224076326 0.00730571790154544 0.00355830539008105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0590382240028446 0.0493577971464278 0.00981737182150406 0.00686941349927387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0252580947149988 0.0207542335581213 0.0019466755549863 0.00108262407501549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0163157957496066 0.01453944420803 0.000968400258043539 0.000352655722802451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0163344087536926 0.0165206838922157 0.00109021049995543 0.000280367192970444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0336763454806749 0.0288198068334786 0.00305766007370503 0.00251598773460848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0125788010486668 0.0115920875127274 0.000235183811130908 0.000555704951575601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0175148939622572 0.0165824571237865 0.000252934976047191 0.00137958578780184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0274681254977552 0.0256625228548402 0.0006336053029847 0.00330214721751367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0361230205838694 0.0232188770512341 0.0038756343995218 0.00137597623380217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.015165000819188 0.017051762726013 0.000954575198093402 0.000409397067964129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0238003379494438 0.0299654896004773 0.00264872713182795 0.00142068976173287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0394395476786236 0.0473400016852471 0.00734118493663274 0.00356005449974814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.117148247281792 0.0995475733994361 0.0392179998664495 0.0275028019765295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0498264230761481 0.0408987517794905 0.00727176961899708 0.00452865983346112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0293700966736376 0.0246659759785131 0.00281284968091622 0.00135608319871028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0228233154459397 0.0211332239259631 0.00196247251648652 0.000673364768099937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0673938506456711 0.0575685794321994 0.0125582443100563 0.00983186508900879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0210730857543242 0.0185357178021099 0.000901760677555954 0.00127967616006036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0199144844750151 0.0187290219089511 0.000399044314395473 0.00166218701252795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0281845252502132 0.0264073232835791 0.000711585904199732 0.00347101559136975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0717512724701277 0.045281607248242 0.0149652671839718 0.00565380477718718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0233849670718698 0.0217236835143977 0.00202943248562487 0.000744862992902646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0254327509017208 0.0311368284139381 0.00295689442701066 0.00148827998109457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0398395665838965 0.0476837705508967 0.00748842064766504 0.0035835177538219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.335997723958001 0.309621600061103 0.350955424268434 0.245362211877199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.146046163834525 0.123328474115607 0.0623009672907713 0.042131265750308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0836314336690777 0.069517432480076 0.0208902755108083 0.0130912845259136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0565821654547158 0.0477999206035474 0.0102473262924567 0.00549346697374331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.20285279681704 0.175487839138335 0.119562042939133 0.086777527309149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0604301990577493 0.0505391950909931 0.0092423117079294 0.00856758143949855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0356751436731225 0.0323708666288111 0.00227257712647803 0.00427240498048032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0357665169296054 0.0332395356554455 0.00161264569680949 0.0051148486291522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.211884973310817 0.139035386496206 0.132526389060017 0.052611467293493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0625726232118534 0.0448206572046455 0.0125361755721159 0.00462873741611234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0384442947094433 0.0394626250338796 0.00598200200077963 0.00232480975444088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0446025600594642 0.0513609438435649 0.00913440466450106 0.00402645428502134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.543838115474009 0.524585896901437 0.982738604054435 0.655922442474027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.237236295032398 0.207528992343575 0.167034089625377 0.116563524987482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136703801786215 0.115166396550058 0.0547726670915709 0.0367653725878558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.091194006433034 0.0768092624525042 0.0252757787380088 0.0156361992079868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.338331186631299 0.302449651463 0.349126588209913 0.243538653934285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102904442722169 0.0848236234892749 0.0282144367114937 0.0238173050756179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0563402146524283 0.049562312917666 0.00679305683705713 0.00953376086044224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0480989663611631 0.0436017407856039 0.00373825707577003 0.00837131001434993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.344563381474981 0.243529578999624 0.366121978624675 0.152796299357771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.103053600067515 0.0711194066998493 0.0331468240456897 0.0128277006212694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0564333980825215 0.0505035187665965 0.0119160751875857 0.00417648319571801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0530992158986445 0.0579145338522453 0.0125600144297107 0.00519602139887257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000908701257456502 0.00132693394033849 3.48348991484257E-06 1.14063203677964E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00244830833625625 0.00430202321426397 2.64786942530726E-05 9.06199847570366E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00480794480171661 0.0087730363777827 0.000102315280851121 3.52961002678177E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00807750425682801 0.0148190453709307 0.000291235566712418 0.000100169555302623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00105031947514705 0.00132257270677709 1.19211681246037E-06 9.89967310936808E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00580814112569517 0.00690454450006732 1.59437120306359E-05 0.000249512510457367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0129248039891685 0.0151782674169857 7.22568754060925E-05 0.0011859820399792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206012517758802 0.0241452619111596 0.00022261592870379 0.00293192092851959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0031244134584963 0.00302836710912269 4.20485811112528E-05 3.59265330228349E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00682817177792223 0.00998311257008989 0.000228707328056514 5.73885833982451E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0138416939085357 0.0213841013753856 0.000951752720860469 0.000277442988460392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228524334456354 0.0364165570277368 0.00253082049646948 0.00086397453056871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00812269312370505 0.00788867582610942 0.000193960499127607 0.000154456503412725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00401825074792879 0.00541424658049299 6.3654482681852E-05 2.95136006912616E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00504192338369463 0.00898175420636956 0.000113131105617246 4.09372383170349E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00811706709342572 0.0148721196396271 0.000295506603771898 0.000102250664723002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00486485203449763 0.00490043352009707 5.51669309454731E-05 7.75298054885395E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00586641334990472 0.00725759977396423 1.87183424524912E-05 0.000262646204685933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0129324435882448 0.0152098852723496 7.26668211128782E-05 0.00118868867509356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.02060105250794 0.0241440674020673 0.000222270532240522 0.00293140234263609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00487179035944456 0.00565776935856486 9.02223934407798E-05 5.13339427089358E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00701108378186828 0.0100296923676837 0.000236191201427775 6.06017218214142E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0138535265379923 0.0213928784347982 0.000953392489849451 0.000277647142741013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228475228968319 0.0364238221277204 0.00253129072779598 0.000863401480198677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0162049937551332 0.0156109824862459 0.000746200569892898 0.000641686888605126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00702428456080681 0.00780481264609827 0.000169727901156172 9.89532805785196E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00586850386241543 0.00952935286920948 0.000148737868387156 5.98176709818539E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00829790554197322 0.0150622760995269 0.000309689043157105 0.000110027560538843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00951600753468316 0.00934148501482708 0.000230661236836476 0.00026065903504637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00620028624934515 0.00794486486687259 2.73888184447427E-05 0.000292168647745703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0129457338154446 0.0153251371009838 7.46873640248825E-05 0.00119831204893477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206057071397626 0.0241609559129788 0.000222678549225514 0.00293364220984375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00798940192372253 0.0101242814987985 0.00022134365384778 0.000217055377458426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00748149172658868 0.0102986854301309 0.000256783561112628 7.08770408092977E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0139208835465952 0.0214092275748811 0.000959398070244602 0.000279486361802929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228506629719933 0.036437907847433 0.00253315795163629 0.00086357063338973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0324123275852438 0.031141262379579 0.00294133750332686 0.00261620525274993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0135165231055347 0.0138247012276711 0.000568465092230655 0.000410910669487784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00874975087142331 0.0115247939486031 0.000293042821638539 0.000141706949127335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00916316213233865 0.015696607613261 0.000371248850984828 0.000143050573807186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0189103347222395 0.0184283044556331 0.000953233010920996 0.000968433102135063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00753002621076092 0.00959037011947988 6.44917398412662E-05 0.000381910701073157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0130274758907176 0.015739730114042 8.35708976453209E-05 0.00123445721753876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206275728985588 0.0242518502972715 0.000225758197045209 0.00294668174513337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0149815120198271 0.019630366441317 0.000716301961105598 0.000929433611820188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00882286923048259 0.0115323125036549 0.000326443090364954 0.000114403441884895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0142234708106285 0.0214885925049312 0.000984673847175383 0.000288074109140189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228749928783673 0.0364876477788149 0.00254052768365733 0.000866140513444768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0972626490778817 0.0933235226100069 0.0265691033663907 0.0234127712603549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0400845122314635 0.0398305866367204 0.00463935828590201 0.00405247620092719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0230496117275701 0.0239891603319919 0.00168179319538827 0.00117068324876758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0166250254076188 0.0210168198784495 0.00102562077191395 0.000534325085805536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0565345919960374 0.0551636417390826 0.00885991692433547 0.00829966966538981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0164451700277925 0.0181733289656988 0.000542277494789177 0.00114612433196215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0146220034146733 0.0184215168442294 0.000186361461573681 0.0015239257998891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0209604312604093 0.0252721346215657 0.000268665308751616 0.00310467793059198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0438921178259574 0.0583289737478277 0.00577573894797998 0.00882464801450689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0162138997710381 0.0198864889534094 0.000929517422082615 0.000651116575302669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0164819429518461 0.0228722938621565 0.00120147174282348 0.000389549410019028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0234292390949612 0.0368956160612812 0.00263875057676012 0.000906414410394189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.16180809084995 0.155715559974386 0.0745998063894933 0.0636199020722802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0667562238424138 0.066061776525698 0.0127119701170393 0.0114715282463132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0379840413762028 0.038369600946858 0.00433462611492894 0.00342063238178394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0258205198687326 0.0287458714809667 0.00224340159691815 0.00140097804409027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.094133246869713 0.0921363046242843 0.0249743187138213 0.0227046350814783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0265850452349861 0.0281486459489495 0.00160005954903477 0.00256704084280513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0180408399987292 0.0219730523847292 0.000412666063313752 0.00201290378322878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.02190254957893 0.0269504631528934 0.000362561294460458 0.00340069913650246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0730250515756598 0.0971968901224883 0.0158953430936048 0.0246122957192888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0249080773752522 0.0301965998447139 0.00204887261037432 0.00183776820493352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.019508596541993 0.025539656920257 0.00156284130883098 0.000606403857019062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0245801708634136 0.0376799564681937 0.00283757203255201 0.000995786376547171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0268478430434629 0.025898850746445 0.00204473449711959 0.00180163649226196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0113207727436967 0.0117138535046838 0.000410050920117396 0.000279092568826162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00762675720242669 0.0107816990860917 0.000232065226148425 0.000108925498595868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00879113103834597 0.0154874476272842 0.000342842817521431 0.000129735897659858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0148880784615412 0.0157701009984506 0.000574059941477027 0.000715363533565801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00713281033754208 0.0088660354837959 4.93630625828546E-05 0.000341694492294383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0130781654987701 0.015589188849986 8.19122221604419E-05 0.00122163629607129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206105912050806 0.0242658787632288 0.000226906109267806 0.00294933228164816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0121481833349117 0.0170738897997892 0.000470244256807287 0.000678338831318084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00813252494876185 0.0111492828958781 0.000287707094976684 9.98891048075841E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0140652393716984 0.021507578189971 0.000967394837641679 0.000289771709586442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228537354424739 0.0364451916175794 0.00253023732715583 0.000869225438673942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0536454614158099 0.0517833758434661 0.00812339389768325 0.0072716665502973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0223279966175937 0.0222739866800426 0.00149372630399441 0.0011887470640528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0132097804181165 0.0152033219963166 0.000609022496638741 0.000357958490434994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0110612336177651 0.0170702936595382 0.000512944483293662 0.000227085202221575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0296954371978949 0.0314725846498801 0.00235373224171809 0.00275736335191401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0102649537521565 0.0121396049631452 0.000160391637396672 0.000562409492896804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0135782470291255 0.0165811276251489 0.000109176613524091 0.00131618634182689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0207031260162132 0.0246209066504172 0.00023969268774104 0.00300149406507704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0237653286378332 0.0336888763293529 0.00168431530919505 0.00283845408316721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0105018343887221 0.014082749248692 0.000436437054845912 0.00023397579827288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0147226098146963 0.021884230394576 0.00102159816689281 0.000322204412572394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229485037861669 0.0365447165270808 0.00254496687128507 0.000883386567700273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107200305097507 0.103663043711564 0.0326244854233596 0.0288641404857821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0444766332143718 0.0440048869788894 0.00573333723474206 0.00498656126800339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.025298544767922 0.0264595874627515 0.00202209729011304 0.00147424900555625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0179062431226591 0.0223138834963643 0.00117718946748654 0.000652917432053138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0593530611355689 0.0630608056376445 0.00960001306845486 0.01081871051456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0181642127994454 0.020050311231093 0.000662001919141801 0.00135799227721819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0154710245684331 0.0192564392930699 0.000220366996730012 0.00162472677498941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0212295818142502 0.0257691918210271 0.000291204551792155 0.00318675089569506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0473953315136962 0.0670958876417617 0.00650026016049364 0.0115846808157928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0166708209769401 0.021872635764476 0.000986319211268414 0.000823833514702525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0165554198651565 0.0235978823467473 0.0012059503701821 0.000449935796314285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0234923860284334 0.036985429935587 0.00262775995171155 0.000938596916571942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.316943163876382 0.312709605289301 0.300618790898162 0.238093469679735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.132129455790486 0.131038331921971 0.0495199295051027 0.0449142967289827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0744773900543346 0.0753635780046844 0.0160520148944107 0.0142760000898315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0491906679999839 0.0519595342669845 0.00743028395896632 0.00589112804639638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.178062706395718 0.191109583318839 0.0898368926718163 0.094196887309552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0524761456677089 0.0554034021600439 0.00662901790415358 0.00918596239206863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.030352794973927 0.0346178397074745 0.00161873365398338 0.00436005889179089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0275848430009766 0.033775076825926 0.000875698926095614 0.00485706017956792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.143700811220849 0.200165178159042 0.0610411155846563 0.100857392629753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0450220946340744 0.0580969478074166 0.00643771306578322 0.0076654194450694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.027641221576707 0.036585411494475 0.00288125758092484 0.00189351148463134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0281031697616455 0.0418798224888112 0.00348895010709812 0.00153415917848594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.522447557568396 0.522609266516693 0.871225534931026 0.620588411007881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.217657164845858 0.218155380832929 0.135463628037651 0.12096672228437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.123065870540958 0.124401092219593 0.0430027499075218 0.0397957868239454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0809239477883615 0.0839487799092389 0.0191954584915407 0.0169529945376816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.297672333238663 0.325565178717559 0.263637452334403 0.262788524357054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0887480610976984 0.093478580268513 0.0197963560203041 0.0254504201743895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0488740700742702 0.0538540004279591 0.00490959145293867 0.00984365109453391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0382779668259034 0.0454636615131623 0.00226245607093076 0.00812889951047768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.243597974469523 0.33314246382853 0.185904436123903 0.268306551901877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0751338205783213 0.0956369328901246 0.0176969207057669 0.0216168670521875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0414675551434418 0.0542258533517159 0.00621314714078207 0.00503498191784428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0356183897315051 0.0502902296560475 0.00530851833010545 0.00281611773062917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.001798402558259 0.00159504551024815 1.40550218879347E-05 1.79692830792138E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00542433840026438 0.00431728684210031 0.000133231371884735 8.73978036670024E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0107666838689017 0.00851465457572477 0.000522206397684042 3.15044408939925E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0175844671536803 0.0142730537537395 0.001376998991529 8.63894205921307E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00202245052548273 0.00160493803646521 6.13086332565439E-06 1.23557267207695E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00953321626461413 0.00866339779279475 8.66609218241894E-05 0.000336223240375132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0207106830426007 0.0190248007291633 0.000372337035391877 0.00161438761157137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0336009052186472 0.0300806075841522 0.00115709922227489 0.00398288099325741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00327465730600876 0.00273717990241126 5.06379298265101E-05 3.42093634096794E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0125121504505824 0.0103277700755698 0.000727844952410006 4.77899002877945E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272148375143487 0.0225561667831702 0.00344419716860466 0.000237905155351771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0470158781617969 0.0390060444513748 0.0102713300096627 0.00073559140262484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00777415422639339 0.0094311441552773 0.000196416350161759 0.000209096285510331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00624762177279977 0.00563814053026765 0.000169703048473199 3.49216053596442E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0109197555173518 0.00874779976874282 0.000533845842651825 3.97869165594412E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0176400088308948 0.0143778123891821 0.00138314767809522 9.14999653986595E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00501558480600296 0.00598102400713113 5.04013203870607E-05 0.000112353249528157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00969733348714521 0.00872170903316891 9.06397497068519E-05 0.000341409526479263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0206943943052915 0.019047463496694 0.000374129923340993 0.00161733460708593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0336195470020225 0.0300911405525798 0.00116449333858667 0.0039775860845187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00535907107174254 0.0057893444691469 0.000112480670142727 5.76596324040144E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0125256735395168 0.0103603941092125 0.000730547381591136 5.19895964403505E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.027203685218402 0.0225760596380959 0.00344117212757165 0.000239727324814657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0469783992620164 0.0390363472707392 0.0102557374346539 0.000736217719201255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0152644318241872 0.0186939163353049 0.000712748329408772 0.000868146746677038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00822192526130769 0.00872851855902447 0.000274970929264037 0.00012520450797587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0113529180174444 0.00938881017458791 0.000570069693143916 6.42302010891779E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0177579319972428 0.0145711302865575 0.00139814042680632 0.000102264307408953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00899217442313162 0.011578110584939 0.000193761307723992 0.000387243275404376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0101374839059182 0.00903750586638675 0.000100984664642372 0.000362755624404285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0207338367025626 0.019056341246628 0.000378094354202796 0.00161971227867182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0336292912982119 0.0300896711651415 0.00116654958323884 0.00397733743901904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00892614729501156 0.0106515406955301 0.000279020595730173 0.000244588392406972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0126818738334774 0.0105740843179092 0.000746333805155215 6.28013095319769E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272081158759962 0.0225885262940255 0.00344349369159205 0.000243383662335623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0469745880728642 0.0390413626696516 0.0102547247550672 0.000738007687400148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0303813272372887 0.0372924809049853 0.00274066827107967 0.00353707405292568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0137350931031935 0.0159709103468852 0.00067886979913763 0.00052989214186896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0128444537242804 0.0119039340815237 0.000709199393018282 0.000168836169370937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0182107747790735 0.0152605964414494 0.00145965694400663 0.000144805046166058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0174550583858303 0.0229060725157881 0.000796670429014252 0.00144706240118347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0114441591925356 0.0103887956690969 0.000142281969352288 0.000455549016931028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0209707300395342 0.0191272758804961 0.000391843253275208 0.00163561645348767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0336831994642038 0.0301021832780347 0.00117422245815564 0.00398268070867964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0168184714728287 0.0208167781706472 0.000906087200741113 0.00103962596875817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.013395237669405 0.0116710694276811 0.000815393491499005 0.000105787140252765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272378675630297 0.0226580634081647 0.00345549889120363 0.000255876376792733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0469729220778056 0.0390745650615115 0.010257266260035 0.000744052915095201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0911882563706209 0.111464031749359 0.0244860822486548 0.0316251267117226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0384688407299634 0.0463865940510289 0.00464529807369488 0.00519263291885077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0240127155308803 0.0275011011197497 0.00213041586166044 0.00150748245449725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0223783428194731 0.0220953026485672 0.00210431254593133 0.000642146981285289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0518448617778772 0.0683904808970705 0.00749680533638624 0.0124013889308281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0188200241429411 0.0197979924262092 0.000616393448678736 0.00137706710390153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0231718142405301 0.0208937195356226 0.000528863143978669 0.00191026269829534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0344555767322412 0.0304877580703754 0.00125329004312892 0.0040971148922392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0494028419541596 0.0621296532076671 0.0073382074321215 0.00978436091293416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0194586164252818 0.0197864471465778 0.00152298922592835 0.00062037331118957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0280475568767152 0.0239552331228763 0.00364790947723945 0.000376428450773421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0471100409615227 0.0394098230678931 0.0103408031033859 0.000801153339580136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1523749266619 0.185120163822877 0.0688756143048587 0.0858369195007407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0637819718657315 0.0769297754904455 0.0123702444032427 0.0146319563049953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0374612134316632 0.0445000053326274 0.00479033321230144 0.00439981116430837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0292715251756573 0.0320316779321569 0.00336627192715706 0.00176470421763593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0865269031495652 0.11374935163638 0.0212858248231616 0.0338452409374726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0278691743027961 0.0311581623355658 0.0016412197243391 0.00311446153180576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0263482040009966 0.0245230922840785 0.000806910936837372 0.00250374008874675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0358859729105019 0.0316138413691246 0.00141104575098061 0.00438668580985105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0823616425596589 0.103442037698523 0.0202715604830406 0.0271711133596437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0277204601644443 0.030152963236445 0.00284863613426136 0.00176305888268196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0298227938611845 0.0267568999454423 0.00406341386136585 0.000619051053195936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0475396855887022 0.0401259296056909 0.0105554174272109 0.000911531212621177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0266861980718288 0.0279162337698029 0.00214486757059536 0.00201653805795536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0120939478577417 0.0122019191043483 0.000549100256725141 0.000301351722487907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.012142108911558 0.0104695744489712 0.000655198324594345 0.000110441871126005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0179751408518061 0.0148079407863284 0.00143557449140783 0.000121466070212435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0146968247735614 0.0172627768719596 0.000571536176069475 0.000848253717007497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0107720654946006 0.00983277008287796 0.000121970409700297 0.000415433824716277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0208644401886481 0.0191020043174289 0.000384388073314214 0.00163198324890934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0335592836131048 0.030076296748177 0.00116287151186313 0.00398662943988867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0141742730819151 0.0159655951371265 0.000675178173607796 0.000587751686589671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0130821136448172 0.0109025141937124 0.000784410472690577 8.08659535281666E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272231281227012 0.0225501642937443 0.00345207010659266 0.00024771501913376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0470409657925402 0.0389808291130024 0.0102844043735974 0.000742353234172132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0533139898128023 0.0557427331007518 0.00844570247064967 0.00813924739188238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0225422446588674 0.0233702440803275 0.00170997490688711 0.00128899555547868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0159739986639068 0.0152235189335079 0.00106428467877519 0.000376147145504304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0191130012530515 0.0163450950382745 0.00161269149087754 0.000225826881960734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0290652849867628 0.0344124742199518 0.00235996975978198 0.00325047440421038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0131467573836319 0.0128381171692268 0.000232115768894085 0.000646726919594278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0214096025048624 0.019453587014879 0.000416626822626572 0.00169118357423892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.03355797038729 0.0301011172723702 0.00117911958225695 0.00400071061852895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0277888022843292 0.0316258421928001 0.002435250750337 0.00246274854742455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0148755737130266 0.0131253348788451 0.00096607289188146 0.000184988170884862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0273105264889294 0.0226747463167015 0.00348467109336086 0.000275134924908086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0470440371696836 0.0389339571647987 0.0102975792708414 0.000757899163120861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.10682031677839 0.111374561337114 0.0339486755996657 0.0323488411419249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.04425752655724 0.046237270037709 0.00616092501015906 0.00541337237365171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0268969836143855 0.0272667428769627 0.00264869394894581 0.00157981059421166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0234095907975935 0.0218794404269837 0.00233096102411767 0.000678436685301953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.058050618355251 0.068889116457732 0.00971050037866403 0.0127071325399657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0196080118603216 0.0206361247808326 0.000714342652144712 0.00149133640047028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0230860460938457 0.0214270702111186 0.000545572449947152 0.00198043013795951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0340225789485656 0.030503363069128 0.0012484883003225 0.00411320793486611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0552317797659685 0.0631715910103488 0.00935533366817487 0.0100660418224628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.020265276768727 0.0198949477824725 0.001644638112358 0.000651270311980146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0281970698427527 0.0237419214050926 0.00369122411799065 0.000382826273720264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.047270636292451 0.0390868567994186 0.010424053215484 0.000811789468643286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.324886452801936 0.330117832237527 0.327097583169232 0.266545744330332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131847706642304 0.137891117835346 0.0525816047855881 0.0497130899824028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0748758142304614 0.0786305754058275 0.0179501080922741 0.0156301105641555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0520286079338689 0.0533953695786189 0.00956192786925889 0.00639322791054217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.177117998654654 0.207761265106344 0.0947679405364677 0.110860319302645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0516530738339646 0.0578722264137613 0.0067479747230923 0.010081871892442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350123035107423 0.0365511378557721 0.00209210758942609 0.00494033864243191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0392913936222218 0.0368202010429825 0.00205309194248547 0.00566157908530355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.16650815788099 0.189127014040551 0.0858000891764328 0.0889910410858306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0489356720493736 0.0531518268479596 0.00829138048816585 0.0063326227019452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0372250919421265 0.0352670111107242 0.00603372417262348 0.00164375573779133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.050678310049034 0.0423920894510164 0.0120169593673137 0.00137079322032413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.542461341705101 0.544846209520307 0.9577051422371 0.682358153340608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.219597377707255 0.227109205257451 0.145432242252593 0.132877865229026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.123301804912555 0.129616391944156 0.0469046070747879 0.0436924968871655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0829902983222812 0.0867130878516544 0.0226305385018624 0.0184812138090193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.304954358028246 0.349659308311917 0.291691088208471 0.304792286719445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0872672360156023 0.0986273335155907 0.0207136310663668 0.0284968774258902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0529411551984644 0.0570672016630049 0.00587942889052482 0.0111403345240945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0486856888224785 0.0481895862155906 0.00394742422234895 0.00908920532504117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.281872115998945 0.315457288694063 0.254091530777816 0.239555043276957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0803619300624575 0.0880705552540901 0.0217673367021041 0.0180977320674979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0514449182409472 0.0522458096265549 0.0109951385876461 0.00452331738981968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0578038623209614 0.0500345463891207 0.015715991036329 0.00261162722776953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00305844840830159 0.00378839806960261 3.8262338430731E-05 1.48247737958926E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00800017524091691 0.0110300593540747 0.000292708650996281 9.3477518937576E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0151767149559154 0.0213340151922887 0.00105054120222344 0.000316970659916177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0230120705194146 0.0325006732059961 0.00238898143615745 0.000646910661998802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00282467906928523 0.00299888888284711 1.48824916688305E-05 5.58518599273296E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0156409169120236 0.0163513175188023 0.000199827955442032 0.00145285433045972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0339684202432129 0.0349923400837404 0.00084464010226338 0.00650487415114521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0542112090215169 0.0557784988564497 0.00249375127343621 0.0162649846592711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0049900460988694 0.0103987073832087 0.000120047243914186 0.000156823722932779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0192584582792671 0.0332750832995014 0.00183652839163861 0.00178541051697451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0430459908863199 0.0707932734913732 0.00963418123645488 0.00946404781210423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.077696932508084 0.121194444048322 0.0339479330958228 0.0324685490977785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00984272513358814 0.0098489428760981 0.000319184751433596 0.000214375509793357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00892577783635338 0.0117060818674867 0.000351286261997017 0.000122433955189286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0153666430795865 0.0214866478347295 0.00107149486965501 0.000327815989062487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0230581424729865 0.0325502128962448 0.00239750449488649 0.000653132151726209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00660538787356599 0.0067978402179187 8.46325755645309E-05 0.000169832574674153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0156633176521801 0.0164539206586329 0.000203042228111841 0.00146475259201732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0339481681448031 0.0350109053479607 0.000844365420641357 0.00650913790408111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0542045235250151 0.0557959030725303 0.00249118676405672 0.016270044125035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00746188229421263 0.0116406414293041 0.000231536127582247 0.00019653244335173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.019344892548507 0.0334021478338532 0.00184847836661249 0.00179225801959939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0430684283646194 0.0708394862658664 0.00964006346921339 0.00946384878981258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777104059225014 0.121187133260379 0.0339324028079568 0.0323913380561168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0189945130166396 0.0186063359313717 0.00111290791561793 0.000869384380696104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0111589723154443 0.0134324911743478 0.000516367854948433 0.00021074548371212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0158822907992686 0.0218950209118806 0.00113065043561035 0.000356932855065945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0232129011858916 0.0327249836148171 0.00242358698990029 0.000668104156264864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0115867849448037 0.0116508538564378 0.000312279266301791 0.000448429892384154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0158649296129073 0.016891416813036 0.000215062742925421 0.00150637898079792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0339164383452338 0.0350246871722434 0.000846046823121385 0.00651114349041743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0541581283717483 0.0557914629059304 0.00248787536904111 0.0162600676773887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0123830867988588 0.0144166936384664 0.000547428580321262 0.000325551121719656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0195589276253571 0.0336318957321693 0.0018776418045454 0.0018038790468834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0430693513334664 0.0708769066353836 0.00963609048687122 0.00945397299593442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0776711188702552 0.121090641539292 0.0338744633715233 0.0322815749257577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0376395648007211 0.0367439846298997 0.00421696697141571 0.00358330303416219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0176991138116182 0.0187046559415554 0.00114934457594984 0.000593573486573171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0176518906307666 0.0231677703789472 0.00135471286846091 0.000472146057627611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0238209870977809 0.0332002615106967 0.00252942780973256 0.000722353661861017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0222566095826616 0.022137774398844 0.00127368798755434 0.00150212989584852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0169292735703907 0.0182333014284358 0.000268075270639049 0.00165063710931747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.033938650861177 0.0352217728407959 0.00086018940711745 0.006559308436591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0541540520962464 0.0558737836180246 0.00249133025607776 0.0162933235045903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0231316350932671 0.0213560527854636 0.00171775384695259 0.000876762972984456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0203426514546304 0.0343584270620589 0.00199478253673592 0.00185390961359944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0431983158321952 0.071069968427272 0.00967711513256398 0.00946918645422884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777331069214024 0.121124036387379 0.0338740522996564 0.032162080729056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.112344053796604 0.109417099857428 0.037066414571335 0.0324877310392617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0478296909894175 0.0466093190208781 0.00726754182548738 0.00526044725114467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0309629883013305 0.0335755107158254 0.00359196855005452 0.00179111901753314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0290726164942676 0.0372030561531153 0.00357339270994475 0.00129109917017842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0658761438678269 0.0653749028510915 0.0120227198447734 0.0122609030293272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0249912753042543 0.0262776367070766 0.000921501886586215 0.00283341726691041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350913141071509 0.0374672027383932 0.0010375118053531 0.0071048642949391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0544711850236294 0.0567236250436792 0.00257600952884047 0.016660185289518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0674273820709981 0.0546959235702006 0.0135643497611714 0.00734530743780811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0272744923639123 0.0396895334951888 0.00318415483847391 0.00237266933657629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.04449328398943 0.072441344930993 0.0101055181450111 0.0096689393478487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0783076331068153 0.121737310669198 0.0341608931218575 0.031988069411576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.185652324194353 0.182731046317957 0.1020869269984 0.0885825839433675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0786043713585876 0.0763027404960676 0.0189908765084359 0.0150166224131954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.047390275730312 0.0481084242893872 0.00773272297093871 0.00466826751926535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0374761710022391 0.0436570349159877 0.00554920806441601 0.00246430592552481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.10957424800257 0.109063060122615 0.0340223521977266 0.0333398703074014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0358077030896205 0.0362013326837584 0.0023895697315087 0.00489748722375847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0379063307361194 0.0409987909368007 0.00141787222070048 0.00805758389524596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.055153991022897 0.0582326992812867 0.00277484173827813 0.017290125881963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111778668325994 0.0904053763122407 0.0369300529169171 0.0207923662147191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0374859971996391 0.0472312385481802 0.00542314540305081 0.00343873432938679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0465633270721474 0.0744302860857184 0.0108469064545141 0.0100523212038844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0792105278076879 0.122591813283036 0.0347169427966128 0.0321590714457087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0284645501124194 0.0280025592434357 0.00247807856453457 0.00207725510178293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0140067368973991 0.0163547830417451 0.000773712267110656 0.000401325421886703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0165928006632182 0.0226856786334299 0.00121624343579388 0.000421068147671367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0235021044434227 0.0329986407433609 0.00246575679910701 0.000699677735488369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0176153112981372 0.0178152820770819 0.000779244093279105 0.00100214916431875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.01646710804206 0.0177079588802 0.000249141332975312 0.00160269467647032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0340312786251304 0.0351350207213442 0.00086476771739647 0.0065668378877629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0543676622659089 0.0559265321743662 0.0025109261734747 0.01635658665746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.018434905710956 0.0185819165970343 0.00113784668591368 0.00063034476473604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0198734319224599 0.0341982375730442 0.00193349156461506 0.00184374695559829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0431763767036464 0.071099558118769 0.00970154177882081 0.00953640405602432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0778564858907599 0.121372250367766 0.034089001108927 0.0325717165764646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0568770384399882 0.0557156130362163 0.0096891709705608 0.00854874013371713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0246334667671667 0.026386627231056 0.00213188986068381 0.00143362556649808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0199057371737297 0.025650742677812 0.00168535230039154 0.000721225345601969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.024636923311488 0.0342058670272257 0.00267692419409748 0.000836215313105581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0344915277364246 0.0349500772258703 0.00319654366832469 0.00368031104201179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018734118362658 0.0205554780122935 0.000393742851829867 0.00196303412258814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0342313421614572 0.0357766158700084 0.000913751063858572 0.00672603322968728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0544466330838672 0.0560592393549067 0.00254407455054247 0.0164405488164752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0359610006785947 0.03095472225442 0.00399218777217571 0.00217308987418085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0217660902963019 0.0359911903749112 0.00221830344104139 0.00198637174606221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433377761171928 0.0714582181510715 0.00978516074432472 0.00962169394496896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0779085778510163 0.121391800760394 0.0341615154634861 0.0326666715767284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.113865917447111 0.111198315266542 0.0387981829468784 0.0341450388406412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0473063369713857 0.0488643843629126 0.00727384049684832 0.0058766298488301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0303453116862403 0.0351607797656439 0.00353315444870806 0.00201021031862864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0285377022618635 0.0379141879044523 0.00349563171262756 0.00138335176613076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0686363982558207 0.0696205039606378 0.0131016848282482 0.0140881144709511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0256185023859108 0.0279436961843744 0.00101661796411065 0.00318114345872502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0356165559700039 0.037960748241945 0.00110446964434418 0.00730020769335272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0549042972442517 0.056899164018745 0.00267021305317539 0.0168407654681601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0714545368941162 0.0578186500371471 0.015173263035579 0.00858063726868551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0277393297441432 0.040956406168913 0.00327388737751308 0.00254868144065466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0443282570089228 0.0726670122301799 0.0101757770014841 0.00991259547295648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0782820623527193 0.121903275217779 0.0345458927637354 0.0331130645622467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.339863451791292 0.335957559170862 0.364478570638775 0.286237140800593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141165397089971 0.141810453664033 0.0611542233548753 0.0547129403948704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0807703625451405 0.0844224215523663 0.0215473666512158 0.017502170364535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0569618631427183 0.0640236454191288 0.0119062714329212 0.00783557441908603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.206542233820535 0.211388326062369 0.123876786224223 0.122735745625794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0630464380578769 0.0653424840620224 0.00897353230428673 0.0147661565550777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0485497457604404 0.053277418781154 0.00331700223680474 0.0125103065603864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0603692192735916 0.0650545823136449 0.00400040137247516 0.0207896467500815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.213544094860768 0.171830705315467 0.136286380550074 0.0788323414448745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0619164446792342 0.0693217971738726 0.0134339077414179 0.00894253157749518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0543518767039375 0.082301864678318 0.0142553633908413 0.0125228011963763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0826517223699679 0.127628616906993 0.0385606890635862 0.0377465952974284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.562846695001419 0.566307655754636 1.06398408666578 0.748081299931283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.233882776272343 0.235540481896706 0.16700462989405 0.149159476498667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.133030567430266 0.136930387316729 0.0555896067141779 0.0496944232464888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0898011813322418 0.0964997993108469 0.0272159291058751 0.0219627658666156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.347683841985731 0.362990502972427 0.365214146567878 0.340859512219164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105686113094236 0.108868204783251 0.0276436604766191 0.0393339637626021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0698267375581933 0.0752883162307381 0.00874397939798987 0.0229903234878465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0707395358763101 0.0781204384735143 0.00701322893834009 0.0284004852810185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.354923969193274 0.295076985998405 0.39287649581664 0.221784364077587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10005112563679 0.10272837956066 0.0332652872444688 0.0226620327940384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0705959998114914 0.0970655873610503 0.0226446380365811 0.0180055624314972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0914090349241388 0.139163048444848 0.0478409557928334 0.0507914090927188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0027988168655512 0.000626226073003901 3.56824214788033E-05 2.69116576149838E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00982647756729393 0.00157902087096672 0.000436824430057374 1.48817412325722E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0198121703320714 0.00280112534034024 0.00176769557465852 4.67121492716938E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0319960848188133 0.00410274417132049 0.00458112353807177 1.03338817099686E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000866695838539496 0.00135280663322608 8.34882841159653E-07 7.83821241953858E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00499852366108267 0.00556598829222461 2.10017433024811E-05 0.000131631266256474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0103060603854696 0.0110451727648524 9.08316772335863E-05 0.000517165696067123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0168278231819705 0.015886143229265 0.000364150278152773 0.00107364259914508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00240910085620041 0.000635384090866812 2.52022056423211E-05 7.56043934601512E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0151936933923944 0.00216125208735285 0.00102402974758583 1.79218495121239E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0346125083385709 0.00510026155393836 0.00532221046910732 8.85516196132112E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0602184049956078 0.008920452600907 0.0161171321946006 2.62609469173131E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0102177423791167 0.00665851795215873 0.000329462154790715 0.000102785775671433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0106570060307358 0.00304102504418212 0.000496998955356044 1.47439896758714E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0199726966897583 0.00310512109503844 0.00178914591381365 8.17310337840059E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0320416689830831 0.00416821558636412 0.00459032044029218 1.1738122481845E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0056043058902159 0.00399592993026928 7.37896750455371E-05 5.09076378615017E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00533220580011047 0.00559195477530511 2.48880309844116E-05 0.000133619817513501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0103517187306073 0.0110435437693386 9.13046161388725E-05 0.000517372836161217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0168244018840702 0.0158844345827769 0.000363746259044949 0.00107376781534149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00588724794932223 0.00326797144885038 0.000116471005010261 2.54117265635924E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0152486702967044 0.00231764488380682 0.00103103842059446 3.29595049370645E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.034590986369046 0.00512414419215984 0.00531997729984981 9.24807767270724E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.060206095438047 0.00893155674772576 0.0161120193549162 2.64560412278162E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0198870290752769 0.0133088270628251 0.00115163475389646 0.000419386914766039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0126324107577762 0.00552482994703588 0.000663198178348743 6.08135382551739E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.020429490785781 0.00391827674181276 0.00185280240221905 1.93882475778372E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0321919424489325 0.00442052749367888 0.00462141012951887 1.60085198605993E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0111243327563574 0.00768374860509422 0.000307776392569017 0.0001683876818602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00603282137631117 0.00573102995637691 3.78795347501755E-05 0.000141221005692423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0104995787704379 0.0110412524130032 9.41144112845483E-05 0.000518187684659311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0168536835829326 0.0158821828941628 0.000364676824988078 0.00107408936480852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0110734841434084 0.00640738972304219 0.000371816187026654 0.000100679635010422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0154848287320044 0.00279381615069297 0.00105727248029488 8.07662550435993E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0345981081324714 0.00517606747453706 0.00532445789921093 1.03483732173519E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0601993387210582 0.00894820408840249 0.0161100335174785 2.69076202701109E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0394047815221116 0.026655789747509 0.00439066140964434 0.00167439237150723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0188455677610662 0.0108140492248944 0.00130969850694206 0.000258159819448001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0219276462780612 0.00639074987246853 0.00208512890947259 7.06398308395984E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0327632167329031 0.00533171514915699 0.00474408665020423 3.3961187914881E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0222347562368893 0.0151901597127845 0.00127320116002195 0.000611426040609372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00817446645614046 0.00653899442899909 9.55068570921931E-05 0.000178233303264849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0109369329074801 0.0110758958186546 0.000106730271661748 0.000523468617387503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0170010548961407 0.0158873445945387 0.000370480791052195 0.00107603102581254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0218452494019373 0.0127307601542964 0.00136647200107128 0.000399708541400698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0162442149679129 0.00433589096150378 0.00115265654850446 2.98501421958681E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0346961287703694 0.00535257260409577 0.00535329084115017 1.46987115125125E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0602095994247982 0.00900133200569439 0.0161171666868043 2.85850769827245E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.117005777601904 0.08070799581134 0.0399360604440085 0.0146340143448974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0498203230335713 0.0324079250377949 0.00767845709238782 0.00241049681184973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0339770628525902 0.0178649693818409 0.00442082757406805 0.000689390406180258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0370385566678154 0.011842415955864 0.00584828124835357 0.000263831008409136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0669817679730977 0.0452796100043287 0.012148966666923 0.00499947863945833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0200223207545614 0.0132648305905953 0.000833803988590677 0.000577135353986443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0142502442012523 0.0118458168437272 0.000259541737567381 0.000599136621351837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0182694672570018 0.0161445226145263 0.00043359913203168 0.00110932981879123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.065418112192777 0.038071222590361 0.0121051873171568 0.00348948125760402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.023326158101561 0.011785729809599 0.00217717270029576 0.000298002771057537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358719442955477 0.00741896316002666 0.00569111221645671 6.49479403029195E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0605540086882915 0.00941006685774486 0.0162955613863758 4.582116823644E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.193422447941643 0.135680862710434 0.113829351636785 0.0400620400837097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.082024449967472 0.0542062785321007 0.0201299915417262 0.00667957073154284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0504253650143133 0.0296792620594316 0.00887073341014951 0.00196348886128548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0443270627896616 0.0191855031452403 0.00798334981272951 0.000762698889805913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.111986291828306 0.0754147880828753 0.0349693254300371 0.0134215914879836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0328875284278052 0.0211908098247272 0.00245047570408302 0.00130978276417516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.019330081087571 0.0139468055376779 0.000604812217841747 0.000781692730206056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0203979304615205 0.0166608839498232 0.000588827790821302 0.00117309641957304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.109035059319864 0.0635312199767245 0.0342727994772875 0.00953883206292617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0341432074265728 0.0194172589669551 0.00422260034263063 0.000849503130989865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0379276699184562 0.0105305965786657 0.00634380527306623 0.000176827502372049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0613006268279896 0.0102558379400344 0.0166902080420576 8.08318718360114E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0307694710937889 0.0210671479519292 0.00275018673960952 0.0010719198979398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.016084155637336 0.0085547235541324 0.00100075323184729 0.00016112267575131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0212724545047165 0.00531192606110486 0.00197580838335606 4.53157131877742E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0325589544668648 0.00501493740422921 0.00468919507592488 2.56246779737927E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0179995213689011 0.0120701052779013 0.000832029199387546 0.000395615682599244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00713500646003202 0.00609213868265321 6.658402362163E-05 0.000157437109055868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0106600520734671 0.0109848108931304 0.000101488660019994 0.00051498908070609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0168870992574881 0.0158530919200313 0.000367731017887231 0.00107024182021862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0175612050886989 0.0102855532527842 0.000887483460441736 0.000258565162555248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0160426663196459 0.00369398214812439 0.00111896067175937 1.87422136276769E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0347934776326907 0.00530633328552869 0.00536460028426741 1.22949936372504E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0602802889320846 0.00897222555748949 0.016146620640762 2.71059877999536E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0611487719755363 0.0422740429444789 0.0108713262607822 0.00424225373087696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0275063930833109 0.0169225916530758 0.00257883112648269 0.000668271926710532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0247121802662112 0.0096177311516805 0.00255183507699241 0.000185268821468272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0337897646657069 0.00710136903351518 0.00497288347916767 7.62596564941024E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0359778562235303 0.0241210140668335 0.0034419319027945 0.00148039675452774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0112918500863695 0.00809749198027146 0.000227437677148667 0.000252837567267393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0116173566931998 0.0110752326906795 0.000136928900540704 0.000525908937048759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0172410764213896 0.0158339612913656 0.00038478822016867 0.00106991283280484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0348091111894774 0.020567151677811 0.00340198884161891 0.00102454856982518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0179751574510616 0.00647932900746606 0.00137273998425074 7.83319974287095E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0351857952783869 0.00585493192526831 0.00546391081775333 2.35576446922096E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0603993797520879 0.00910031005237425 0.0162072668692388 3.05514469417945E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.12131266638537 0.0853762339301355 0.0443293288439794 0.0167789974016262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0522634761358209 0.0338393398703345 0.00857078725071326 0.00270696022328471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.035428461398907 0.0187442172870177 0.00476309635881676 0.000778341597523457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0377850809724047 0.0125141513501508 0.00602246833701431 0.000301968180510938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.072020889057711 0.0482988289513565 0.0143548180145654 0.00562209241625666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0208627080992547 0.0137677351259351 0.00095063944711988 0.000616996758056901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0147367364485193 0.0118217837831469 0.000292223314436119 0.000592421835344392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0184438640539356 0.0159815655250736 0.000457748624196384 0.00108747174481507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0692870801673798 0.0411965105807546 0.0135776430975974 0.00401699629913361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0248274619435035 0.0124004803113509 0.00239548858658991 0.000333782975368867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0363371817044058 0.00784008604213819 0.00579814708336133 7.31967113477851E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0608325095367928 0.00956799629470563 0.0164283757110325 4.53820080758785E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.354721756487116 0.26316677495797 0.419255525972279 0.149422825755735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.15148589336194 0.102882389864675 0.0707270065924901 0.0243963094759081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0900408577654928 0.0560354849893677 0.02622528110809 0.00724536444488701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0668730900273359 0.035967403929212 0.0163831536229472 0.0028910980565699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.216448839539919 0.147976525953491 0.141820485303842 0.0486519688249632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0618884561512384 0.0398060202814512 0.00987437229727304 0.00414141273568384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0333207939758615 0.0207056232362675 0.00234345146396508 0.00145652723718119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0278193299602458 0.0185322638554856 0.00137545947563456 0.00137418063540821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.204901892733159 0.125699591585256 0.126987131336637 0.0351942135753518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0617231787655639 0.0367309739040854 0.0126267163165225 0.00311051563261569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0468546256188366 0.0189580385423402 0.00928381343287338 0.000694357556714932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0647176578141469 0.0138428323629923 0.0186344428192103 0.000223828823129883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.575896583555503 0.449465949025038 1.16466575121324 0.414622351887813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.246535503274853 0.172850111994241 0.191097980499862 0.0673045656222138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.144703478579184 0.0936551586092969 0.0655567730295051 0.0201137154370089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101904349678214 0.059776072705251 0.0348982835966742 0.00813172099202303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.361231999101652 0.255859396421791 0.420880866746009 0.140554125604914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105584045220437 0.0681549457024671 0.0304871555399725 0.0113185877844986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0552497745248651 0.0330807473916473 0.00729979817772354 0.00319755179435518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0413017224614929 0.0240760711303867 0.00354986643623593 0.0020501048431513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.33542897376942 0.214994714534245 0.36044062602506 0.0987132688250949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.101640158977824 0.0614346401379615 0.0334949402033268 0.00859500695646835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0647048305693401 0.0310503077749119 0.0168533308184843 0.00200235652268172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0721121589743179 0.0199305361934257 0.0235143267766819 0.000621580132025783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00608908847855976 0.00343127850504397 8.66665243026692E-05 4.68008476206005E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0043308906340792 0.00292050266420402 7.52953232093737E-05 2.96506345146361E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00665167897513952 0.00323253935920169 0.000205454244770859 3.80808344504455E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0111704022584678 0.00450513687220639 0.000562056838550204 8.14286851674826E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00990363656967667 0.00583994892465571 0.000268917247952856 8.88906313987047E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0103148440924429 0.00883803416705271 0.000328151864768866 0.00012511400324706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0144083365578561 0.0142398552867848 0.000652485355591544 0.000195572197787413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0251635097240939 0.0238826665014332 0.00206855050904399 0.000447974093546231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0044929839154076 0.00233556088378912 7.74478269999292E-05 2.21308572886094E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00787686728009586 0.0051015936623299 0.000287997007436781 0.000119092053838728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0166536323715872 0.0102421971656889 0.00131111704070024 0.000473073796359221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0291691881053189 0.0159768390144948 0.00404323897313356 0.00113982759584352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0134361453297959 0.00706267134021505 0.000396378814616078 0.000168030819862938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00648372468634929 0.00383469045250498 0.000140180680693669 4.82986373255955E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00718518865547038 0.0034854863592228 0.000228102934161762 4.35156418740941E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0112316881766731 0.00460495265729606 0.00056775338021373 8.37748950447193E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0126646479882758 0.00680520374627709 0.000415072861998834 0.00012496642123905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0105520255176179 0.00887701711257331 0.000336961929414338 0.000127201069849385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0143853518241778 0.0142514101619148 0.000649767253333328 0.000196418305259355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0251302314940785 0.0238740892517698 0.00206455874992183 0.000449005438425965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00756231257913388 0.00387609230062261 0.000183948554992942 5.24564331156114E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00805370577192568 0.00513890389093854 0.000297006984160123 0.000120472303625913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0166688568104182 0.0102183123531926 0.00131323697944505 0.000471038734228754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0291681484550248 0.0159497501036408 0.00404113448578207 0.0011361113383069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0240957137404753 0.0125590112383344 0.00136900991075605 0.000508247857106698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0103320238440102 0.00569289215979308 0.000321043665438365 0.000102929026178326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00854150079738156 0.00421773590259316 0.000295414087965908 6.11724648941015E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0115172845319583 0.00487656486372527 0.000592053782858466 9.1680988197794E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0182493727832122 0.00929930912812543 0.000847938292921647 0.000246347683695357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0113492302420616 0.00905337552168424 0.000375629744220539 0.000136705034053698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0144893470585957 0.014280272024716 0.000655044330263939 0.000199532755541381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0251338267881141 0.0238729227091616 0.00206474294947661 0.000451489882170433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0127915925288302 0.00655545148020523 0.000484827257186708 0.000139444153576915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00859792114072613 0.00533749349188006 0.000326096839432834 0.000128354208039737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0167459799419411 0.010213292137249 0.00132199947054785 0.000470658224014987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.02920714816666 0.0159307937568351 0.00404539406580008 0.00113345196054955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0463169809329922 0.0243514539604414 0.00537303584743378 0.00182151784594968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0190968234273118 0.0100287854001348 0.00101782448910038 0.000313022034684047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0123463160215332 0.0062742627232162 0.000542026589855909 0.00012900434880542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0129386863104654 0.00576573757329362 0.000706446757706192 0.000122492228487656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0317498990432374 0.0159372124128032 0.00258510655593097 0.000749220925043297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0137316517912469 0.00980563875704309 0.00052901893309249 0.000178486488015451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0150252902497511 0.0143949445591262 0.000688396023753621 0.000212575584700005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.025272013747069 0.0238814220610627 0.00207872625572818 0.000460754279115701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0241236054692323 0.0123487004070966 0.00164745236448343 0.000470201898068934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0103477843930864 0.00617810241276524 0.000434270024139876 0.000163472155001403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.017045812239944 0.0102524681288112 0.00135694869111606 0.000474533962737191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293326955780155 0.0159165964327695 0.00406469721122652 0.00113123155018061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.132923503591825 0.0761301922497277 0.0481774599671995 0.015494881465344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0557535179056286 0.0288965087916943 0.00823952380180091 0.00248457692432291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0318431483032267 0.0162309913247643 0.00294689695298464 0.000811908388119472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0230718742472717 0.0113638908412593 0.00182729366700431 0.000430330805231836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.088417237987646 0.0462727301587635 0.0209331737332718 0.00626868375998916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0284265776078334 0.0165901970261253 0.00219811453400594 0.000680143604657701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0194636921420338 0.0162086768576356 0.00108480523244595 0.00036041089404496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0268704336889051 0.0243494710117318 0.00228433528470836 0.000556460840090312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0706795382194897 0.0369238332040596 0.0138950613917473 0.00383901763297146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0212880260986091 0.0120086988962133 0.00148306463117376 0.000518127399256219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0198609957602617 0.011443735953423 0.00171857259499453 0.000567921192707745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0304637624168483 0.0161598922417562 0.00428800094802146 0.00116192337792384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.213238376487924 0.135370516962167 0.132852399349554 0.043898046026602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0920149981239429 0.0485718807139853 0.0224066219126803 0.0067731073411414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0521809822966651 0.0267309096218122 0.0075129180647988 0.00214331399581195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0355667867214684 0.0178900839688633 0.0039045253518556 0.00101914676425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143032062696771 0.079804283164125 0.0571944631995623 0.0177851894786268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0451916111161178 0.0253253661073867 0.0055436868517399 0.00175937444593752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0261223439211181 0.0197739756874929 0.00190944105421785 0.000674426911840052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0296579985178 0.0257612771795183 0.0027152027099897 0.000748358652873664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.116132073718602 0.0632784835336327 0.0383669753769258 0.0104755367901778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0338596434202736 0.0188127382766071 0.00348709187401194 0.0011787221090379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0243958052809746 0.013778868112118 0.00241655612921242 0.000771369741366213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0323579878412919 0.0169657249663831 0.00472933400199111 0.0012613970841117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0360329702019966 0.0183302387447421 0.00334275629482961 0.00105369128200602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0149441787206347 0.00782896986192524 0.000653430754475935 0.00019690841773592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0104297231090393 0.00525205883538524 0.000411781473772889 9.47683812799949E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0120730366034577 0.00532903596909332 0.000639757185310935 0.000108503013251335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0246439086547198 0.0126736425576339 0.00156194362348978 0.000456922865732342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0125730088376558 0.00956569950810764 0.000440007552164967 0.000162688336643768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0147429053116378 0.0144070523219892 0.000667721709732536 0.000212083602272597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0253006927970493 0.0239612686941833 0.00207976842348303 0.000460252717771197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0186737903870026 0.00965213154336924 0.00102539203795062 0.000310041845158673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00943488063356873 0.00581982060160637 0.000382150759792576 0.000152176402547287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0166799910767702 0.010367095696248 0.00131421869747447 0.000485339743614332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0292125217672876 0.0160251086323096 0.00405387548328997 0.00114973564629504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0707013639869986 0.0365285593318785 0.0134782409517521 0.00394666732951866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0286580832616529 0.0146672548103128 0.00230700084091083 0.000669618267144591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0172237516778327 0.00870576148005302 0.000980172783596327 0.000249272936129865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0150728327488519 0.00709532812887568 0.000906721861766596 0.000181296973496701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0458194119089112 0.0232216588754915 0.00554957522433422 0.00155376869775458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0174258752426279 0.0113337885912289 0.000807371137435439 0.00026411320145603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0159206075648084 0.0148260948123358 0.000751799726984945 0.000248687489133169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0256835753354117 0.0241077126154051 0.00212133338955343 0.000485813101419365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0363654408829475 0.0186673402281118 0.00381043657247232 0.00109783790931928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0130500413373963 0.00761137279708884 0.000648871346073093 0.000241998622447313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0172343770454956 0.0106385743866318 0.00137874217587639 0.000511901381268516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293939336702239 0.0161359067321567 0.00410039581149796 0.00116833544666927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.13670991289597 0.076730902527954 0.0534389937461519 0.0157345373417746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0564254562565348 0.028980841459465 0.00879268789827374 0.00251937216714054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0320857122624722 0.0162744281764723 0.00309146739533344 0.000837020948965516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0233910351319929 0.0115029787812217 0.00189412478271713 0.000448589033294018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0890850110455795 0.0462797465404823 0.0216610562830583 0.00600589001421486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0291271429563608 0.0169133764622881 0.00227288989401123 0.000685807000977718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0199278913046437 0.016493650702139 0.00111998119361322 0.000385331908372782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0270559799086494 0.0247293279941682 0.00229024780454688 0.000577806575001329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0718462565549025 0.037320563864666 0.015025641605724 0.00410957509761898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.022100180420123 0.0122302843019136 0.00163729924661547 0.000562600279810128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0195919789741599 0.0117016484113736 0.00167612228677567 0.000612705514595879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0301537837137236 0.016547850271451 0.004301810082714 0.00123160471456419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.373163952727125 0.267223805982329 0.470701357736327 0.153253235441671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.161506089822275 0.0928916480905198 0.0736877669069962 0.0230891886983193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0927167182925827 0.0486546124941824 0.0238007042164384 0.00690360643333671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0614452646128113 0.03172150399401 0.0109861338218203 0.00307292388243121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.247192388946521 0.158511917379086 0.193926838249844 0.0617315663327153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0798744915309713 0.0458362325417234 0.0184387248977676 0.00588802334063831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0432538005093115 0.0293508397379941 0.00534017277515012 0.00192791207729363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.038010462002511 0.0319400545029237 0.0040780945495336 0.00156259797241449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.204486339558623 0.123930638969251 0.13706878415706 0.0376224253925793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0625616196679036 0.0334200996199487 0.0120124366748423 0.0036039710695537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.036965146174765 0.0204229538114069 0.00500780077959892 0.00163171452048399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0385065560610018 0.0206618837847126 0.00683894760458284 0.00190667181006614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.596118443141763 0.481405897490751 1.30500670354154 0.446747620526621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.256605981388631 0.164880763777594 0.193389801746736 0.0666453039477353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.15009116962866 0.0843671210540466 0.0615139386004519 0.0195052324539392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.099586565001045 0.0541265432381105 0.0272842806403298 0.00877761264285422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.398073309648428 0.291545409828412 0.59364708338652 0.198479571520288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.130318481000533 0.0809930919738077 0.0542105315741683 0.0191198930624562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0691385404742698 0.0469367845680644 0.0143229670578741 0.0057296862571176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0520466154427071 0.0439156891324104 0.00749815570364093 0.00396899318263423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.331828887542559 0.226813712882756 0.413046338923048 0.112607247894284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.106041842952032 0.0559126712128118 0.0358923225669637 0.00928943943637425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0602465705351897 0.0309035103334995 0.0135097816401318 0.00351709193854334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0544318934690499 0.0277475293010576 0.0147286068223447 0.00336653180005185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0129540678580709 0.0146424179597732 0.000379784828254823 0.00095797808261013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00696922150158642 0.00965970077253756 0.000180307605976047 0.000228960634079587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00915967275267481 0.0140186564310898 0.00039775406209137 0.000271359486168404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0144693674992273 0.0225305631042889 0.000984154397211411 0.00053801574682136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.017627352806731 0.020888232394712 0.000876341277812518 0.00164492549170232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0167596517357933 0.0224981210785815 0.000559388218083663 0.00240392760820775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0265348134166298 0.0343350052792638 0.000967552511353811 0.00617022026197471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0416028370784161 0.0540275183125473 0.00212620055810951 0.0146804260696351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00916200132595613 0.010672767927229 0.000354771322988735 0.000245493770541894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0128386260047536 0.0205340317938634 0.000814235798400906 0.000562684026988851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0254614807151677 0.0423174259915546 0.00338770174307646 0.00244637306671359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0425307748133441 0.0686465327508528 0.00977186328397355 0.00627926508846768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0168567628596357 0.0182671184231771 0.000622185387545652 0.00132333944123951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00830878082078747 0.0108508637358958 0.000239566256983675 0.000278835087770549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00952957700696182 0.0142514174359416 0.000423184611386713 0.000281912392611847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0145382776408803 0.0225426213902233 0.00099330865893625 0.000541258043563602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0189914448666088 0.0220107569141267 0.00101065445698819 0.00177312619159078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.016975308642758 0.0226223988837624 0.000573607579241509 0.00242848591470268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0265859950481138 0.0343801885844329 0.000974310752647604 0.00618948393897826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0416645744915242 0.0540352056743999 0.00212832043407878 0.0146868443272826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0110473770911729 0.0121312440277472 0.000475398782390794 0.000303409596677451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0130418494041391 0.0205614960431394 0.000836541408188954 0.000566066597636085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0255230893926661 0.0423107046309917 0.00340552641069718 0.0024480165658727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0425482840345582 0.0685963950477573 0.00981754734333212 0.00626564119067243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0243884651047859 0.0259127441466981 0.0013779457261849 0.00235655069976858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0109451325514735 0.0131938716874444 0.000397700711618212 0.000415729603861701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0104604373781907 0.014887860013997 0.000488430427918661 0.000315324531362781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0147860235773907 0.02269084722494 0.00102065264092637 0.000553916152255159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0223416361492018 0.0246920514337345 0.00137283778671691 0.00215854379374883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0175361459712153 0.0229517630515003 0.000607471637781646 0.00248415531053833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0267173085929787 0.0344758686438151 0.000986755876564602 0.00622147401857822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0417535876816357 0.0540565543904692 0.0021343454715982 0.014700615982407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0148128962296591 0.0152168009592681 0.000780967585357727 0.000493547531243737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0134448734018554 0.0207695199044492 0.000878224753148788 0.000578671091422051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.025660111392499 0.0423287255369991 0.00343418704060195 0.00245374495297005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0425855174828355 0.0685617436165308 0.00987190239206955 0.00625594171634159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0422761449254926 0.0442337573490022 0.00455494261276476 0.00623014095943598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0178286064609451 0.0193733554229149 0.00100773577008448 0.000957022184868827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0132074102543293 0.0169159412854777 0.000718954885297579 0.000452648842483884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0157020097166906 0.0233390639689583 0.00112436507583189 0.000607699850035629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0316160784326712 0.0333806369890601 0.00277249537484701 0.00371189328404931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0192962779251547 0.0240830668849873 0.000733061722200805 0.00268008012103832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0272002475704681 0.0347416010082769 0.00102880259669891 0.0063138888640377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0420023238826417 0.0541288008196248 0.00215805718444759 0.0147480113338266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0239975734259061 0.0233483061515562 0.00190288704603188 0.00128936305682792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0147115786896559 0.021669830405817 0.0010148860563477 0.000632396573914603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0260544956302727 0.0424357826921893 0.00351355629375253 0.0024773825281861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0427430779793842 0.068548630925702 0.0100121153476521 0.00624826275137134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.117643804119449 0.124558282090423 0.040076965572012 0.0446575920534179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0487604711915667 0.0500575169080196 0.00728373542821831 0.00688693273188953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0288114117879705 0.0306280162903958 0.00288883368232503 0.00206903442817143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0228831083336636 0.0287693749436173 0.00212070729456525 0.00122194263728326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0782040319287727 0.0801781092820764 0.0178454617843518 0.0198596153191296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0306983784371096 0.0330018418033888 0.002061450964584 0.0045335937169828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.030801833897118 0.0376672001032408 0.00142916025649395 0.00718672860765803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0437414829466152 0.055015817275606 0.00240887881212728 0.0152428588510703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0647449795903226 0.0629441246445945 0.0132516106991585 0.0103392994951486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0234434233600793 0.0281401240208759 0.00222785997606884 0.00125619747231164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0286073296176739 0.0440525024746164 0.00407020934934176 0.0027342228982821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0441022890701575 0.068938123420419 0.0110124880828695 0.00637278020737603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.192517537564321 0.20760383329132 0.113072495648145 0.117659333687813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0802355276228224 0.08247272497854 0.019608537005057 0.0188180276201797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0458369104049096 0.0473844272154651 0.00692957850131253 0.00554267913631916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0326022090680122 0.0370622625517199 0.00394987959197655 0.00254678999360729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.126918598476057 0.131828672996834 0.0482663431172678 0.0517186372960002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.04449459244433 0.0458354280877768 0.0047865082061891 0.00807120378372296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0367675114591381 0.0423686158368262 0.00223809132436999 0.00875149884503855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0467306948481498 0.0569787129032926 0.0029201039632286 0.0162607217197823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106189113532437 0.105104800103496 0.0359341086604516 0.0288155058824999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0344231619132483 0.0374321875241331 0.00445985237836389 0.00261044360072228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0324351070933971 0.0469776552854635 0.00501154208233606 0.0032559570169851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0462398027054471 0.0700966623814153 0.0130536076466074 0.00676476363495848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0349403757461385 0.0356464330273446 0.00298170352421719 0.00419366122539283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0146150971449962 0.0167418637066599 0.000679631854999527 0.000710563253189515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0115554708793133 0.0162141063180923 0.000568506974469752 0.000404009667787948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0151029223035596 0.0232011466163302 0.00104835386416303 0.000589769726229689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0276646623064766 0.0297932339722164 0.00202838744686873 0.0030064478958547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0184369854927221 0.0237104370787713 0.000652095276474414 0.00257337129946975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0269755211122497 0.0345468674711229 0.00098211610788108 0.00618541745893946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0415400405554798 0.053970258797031 0.00211402957600104 0.0146199744524321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0201048078682755 0.0206144107827867 0.00134507418448014 0.00103231946285904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0138375589946224 0.0215084213306119 0.000908026135642068 0.000611443310251179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.025607728610994 0.0422991797202131 0.00339837429797299 0.00244110541900702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0424282132194894 0.0686978115909694 0.00965970448330723 0.0062934535320946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0648002796475241 0.0650197955115717 0.0112501066478105 0.0130131844503348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0264038682737294 0.0278133913466555 0.00214197680402606 0.00209737898098069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0168064029935755 0.0207943315836834 0.00107719465236054 0.00078777014324955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0170615197681911 0.0248118782244576 0.00127570380785338 0.000741718749551547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0457031516670366 0.0463955233254499 0.00574946366079174 0.00693818169378016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0217786818969942 0.0267570935386397 0.000948701811669924 0.00306436133690561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0279862069716994 0.0352867778751231 0.00105617236092899 0.00633694038265833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0417022045914944 0.0542477524768653 0.00214145273072667 0.0146765042615661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0361164615426679 0.0361231727166374 0.00414700686679297 0.00347204928837923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0164346676703844 0.0238611778635548 0.00118413630126434 0.000781547373844078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0261389991241854 0.0426769431971115 0.00348032794367463 0.00247428076304471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0425163234102387 0.0688405668067814 0.00961921593971102 0.00633961668550837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.12504089826692 0.126550502910906 0.0451973900849687 0.0463439402345121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0514784840832604 0.051652846725312 0.00795958811666322 0.00761437018046308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0294823274470573 0.0322252937733762 0.00299803702093756 0.00237615884806108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0231309316029122 0.0300289708076566 0.00215145005802863 0.00136857803158722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0849491677634866 0.0841364088864999 0.0211413846356229 0.0220325991929318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0308681081617401 0.0353693086363512 0.0022090171634629 0.00487315690680519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0308716327623373 0.0382110654210292 0.00138838938553644 0.00704701675315317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0427465971430222 0.0554299333636486 0.00231904663895119 0.0150895504456319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0698281695380133 0.0695418427634588 0.0152359945308615 0.0134441863535921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0238709514708112 0.0304961826224292 0.00221932889686506 0.00151951188476432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0279555693407753 0.0443987186753792 0.00382569031306508 0.0026608374513972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0431399507142663 0.0695768039191067 0.00972800936646987 0.00653838842285377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.36061512702866 0.37910302787916 0.429376951056371 0.357687493309752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.151138199695734 0.150741838612416 0.0690342819613018 0.063760972125341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0848126482296161 0.0849041262367551 0.0222864736823967 0.0199374836713848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.056566412774217 0.0603120905550375 0.0106907635658624 0.00868148459449658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.246881371508011 0.250020739008677 0.199244807981954 0.175087191997968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0775291315646167 0.0827382554393082 0.017510816824555 0.0234667650762548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0523285896588462 0.0599802379909293 0.00567411079510568 0.0147257443129215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0547927139913777 0.0681903374906953 0.00488008056224176 0.0208615618838202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.207063160509677 0.212080763710342 0.138161658754875 0.121543497567425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0602151753083409 0.0678913259860786 0.0126209491342845 0.0104451923204412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0421579549158592 0.0576373923992488 0.00765770081271429 0.00509836809467052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0500063575661016 0.0773982550215232 0.0123021673386019 0.00884267401483858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.600502370548316 0.626379351461491 1.29775329133827 0.905953592593219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247208759731551 0.249650029012673 0.188412931109958 0.168246258814737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.138814701131856 0.138568080388424 0.058200515625707 0.0545420318892718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0918734834189758 0.093694803342288 0.0262338946894806 0.0239803586736608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.41554652522981 0.423655266193037 0.615266180126548 0.47845858715879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.130666812515118 0.138077456034594 0.0536959915416966 0.0644435012013925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0800937946729672 0.0898085113553232 0.0159055034055996 0.0314250990165474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0744167366973597 0.0893609844772229 0.0111541880146705 0.0343114745774749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.345868141951295 0.368108524313757 0.412982232962669 0.347639830736624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.100428126020389 0.111692801772991 0.0357374003081247 0.0302674355918203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0626238097669828 0.0784132201633072 0.016763536531654 0.0111141469595202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0625795438603828 0.0918565530449027 0.0193597101042823 0.0152217216640419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0151010376843624 0.00777205379195164 0.000850557429638025 0.00028614563400275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0196386307198678 0.00372237220733427 0.00189400437373986 5.47313856040406E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0312995151837913 0.00426646563122397 0.00475645814481146 7.67874186871907E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0434388160376353 0.007889924547242 0.00880292000480941 0.000290481257108098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0341700146142642 0.0163619324009745 0.0033572905125248 0.00107946888896677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513495730316691 0.0284359787451622 0.00468990160761678 0.00368828091383442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0846487589424808 0.0514204279324478 0.00866882174543484 0.0117200369581058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122507917781585 0.0699039782701936 0.0167741603350988 0.0216567194871964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0186196193743222 0.00936992237734604 0.00169792909906555 0.000159534468373417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0666277022344257 0.020218126114161 0.0219873028444208 0.000444918263497455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141286951027721 0.0389113592091463 0.101017999907692 0.00193572626401105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.230287084156728 0.0585966706154373 0.280353630944769 0.00612570275404367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0170766014136378 0.0147890172449204 0.00101125063556296 0.000716124095277562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0199637282464834 0.00619969005726954 0.00192185679277637 0.000117804646887253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0313333836820504 0.00529078962787711 0.00475777172794479 0.000100185796245028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0434326423963376 0.00822889133374267 0.00880093600823088 0.000302555059132946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0343427706256416 0.0182077919119234 0.00334251051562624 0.00125456051407168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513180182293263 0.028517122199247 0.00467513138308384 0.00369454934380132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.084600817954906 0.0514002713625075 0.00866353814405653 0.0117083056263907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.12248670139265 0.0699067493056837 0.0167699576459264 0.0216507137734359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0193442884821023 0.0116509048751466 0.00179559695887731 0.000231500029083987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0665835505083038 0.0202378474390857 0.021950618918247 0.000449653789127001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141235652377171 0.0389357375882697 0.100931919113237 0.00192877597524284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.230242267130069 0.0585741066022277 0.28024473913037 0.00612274165457247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0213417928390415 0.0249691832802824 0.00153173446099364 0.0018035557438619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0209250000655547 0.0101790731698629 0.00203513766602852 0.0002884606833305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0315715178371073 0.00699893850862914 0.00479731385955082 0.000156360018338352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0435360703299304 0.00889496248268806 0.00882428743607508 0.000332011101356344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0352612185043944 0.0223606431359288 0.00347783217470925 0.0017291777911749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513739949738249 0.0287629637738544 0.00467650323697167 0.00373345011839758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0845685503455555 0.0514005189584825 0.0086661961981095 0.0117031738495429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122467608238366 0.0699089099991485 0.0167722987461988 0.0216443448394274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0207365652603686 0.0160926587098277 0.00200605164392592 0.000468255884223691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0665792739537754 0.020411061954406 0.0219345387494523 0.000464552511297892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141200061798328 0.0389709700044666 0.100867133114129 0.00192454141733064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.230211456686429 0.0585612239801064 0.280176222396181 0.00612173584913855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0339014353646053 0.0465315364450362 0.00380752516005762 0.00573385653042601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0239406841845865 0.0189235576021346 0.0024774523382758 0.000938936795535785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0324638838440963 0.0112068102931334 0.00496815659242812 0.000362023025494223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0439531843490848 0.0107271609515474 0.00891984871415718 0.000432472065915536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0387684594160723 0.0333189439331723 0.00420330246584083 0.00341624580443832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0517023674814046 0.0295901605616452 0.00472811956497923 0.00389590836696996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0845711194608872 0.0514773356453507 0.00866605031754995 0.0117260561188431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122396091341243 0.0699711519558725 0.0167201165388224 0.0216642981977771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0249075739163113 0.0267411723808978 0.00275455045120174 0.00144253769203167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0667427415112387 0.021334615329071 0.0219950607009799 0.000526401405129336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141300528229148 0.0390974682895566 0.100953232582893 0.00192662101446218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.230360268427936 0.0585681978422767 0.280529107694697 0.00613306379047116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0964710198787025 0.132209734636032 0.0321200814902043 0.0411871452217772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.042510287351876 0.0545177888598804 0.0069299907879957 0.00730721207722018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0390855461319954 0.0303985754037385 0.00665432768129757 0.00237912656104382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0473385835884698 0.0209282206222508 0.0099337863942926 0.00133246358404204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0685499063901892 0.0854550619759551 0.0145384295318388 0.0185514600596378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0545997628137005 0.0372301988768577 0.00556769700678222 0.00558394779500622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0853222104848516 0.0518517212453883 0.00909953860200496 0.011884652509965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122666870116917 0.0699321401124056 0.0170842592018123 0.0215964409753232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0510752663903171 0.0734177385783305 0.0105046826350841 0.0118083740158613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.068375935634969 0.0293492416920732 0.0228681279616854 0.00123485604999488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141922612040492 0.0406217474664427 0.101661732808097 0.00203593405974451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.231050066265853 0.058867585046827 0.282444489113962 0.00622716020109458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.164261401447417 0.215123387704353 0.0959013851457994 0.103894218997079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.066078005069854 0.0891293043480246 0.0161214778324433 0.0189580211023432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0484807432452334 0.0496910242791021 0.00980049071713036 0.00614221901654663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0522373901687438 0.0326625568958872 0.0116997858107294 0.00298875090494924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107766402923055 0.137634344757773 0.0389253116870001 0.0450482849084648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0606810683354851 0.0488894890423724 0.00754319954266727 0.00861869625816638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0869280884876977 0.0532662423217705 0.00999325284894085 0.012381637538007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123191555733584 0.0697866750772542 0.0178034212813546 0.0214815781635503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0823727865671258 0.119151438780795 0.0268267032715397 0.031220231478758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0716294147845635 0.0401437420738419 0.024846572390598 0.00274863255584212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.143123750318895 0.0433246162471555 0.103302643936745 0.00232241995941706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.232093566766565 0.0594581918677735 0.285752342454979 0.00642413463749928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0315207726071542 0.0416626057976785 0.00335843510463742 0.00491923527240164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0229015464451572 0.0168754597144048 0.00238479348607952 0.000777617098819237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0321872610786422 0.0102493195065801 0.00494273111403055 0.000309169440002014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0439070158534951 0.0102481063245315 0.00890968990198746 0.000407219358228827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.038504009699102 0.030432944575402 0.00424684633372614 0.00293737765099823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.05169090940313 0.0293318856632965 0.00476040746014371 0.00386331809829945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0847178647497883 0.0512895427573886 0.00868675519983611 0.0116676323731099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122442527837577 0.0697727675728377 0.0167572699459605 0.0215882223491915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0239009919647109 0.0240581392338998 0.0024878027314698 0.00118189537041904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0666669322991087 0.0211787533640881 0.0220206184620222 0.000504253573013853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141165881690791 0.0389861269861331 0.100899905461733 0.0019444477929617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.229938077909092 0.0584528320663872 0.279632548728042 0.00606287432665861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0576605633423319 0.0802455874899854 0.0115053205667031 0.0171671712977018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0303008597694127 0.0326382597731846 0.00382948538365647 0.00281115380857792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0343882053798394 0.0184119327205507 0.00547532478913766 0.000939361689570158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0449598362536159 0.0144260951047077 0.00918954780424753 0.000704848198585285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0488376360419305 0.0530965455635213 0.00702919615328625 0.00806122493220598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0526690468615536 0.0322870632458862 0.00502581253884654 0.00446181050619006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0848519664463729 0.0514013381056869 0.0087704972878203 0.01171013232106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122336771438084 0.0697287391581486 0.0167387143547116 0.0215602524166619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0345513392447835 0.043886068167498 0.0048204692625837 0.00428929887245015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0672470112076095 0.0240622184766322 0.0223543864569761 0.000701852125518161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141310443424144 0.039292700181171 0.101187139654757 0.00199168525149301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.229939745808833 0.0584111683989437 0.279997812946761 0.00604823270656014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116494187498668 0.155339599781176 0.0486230959095184 0.061013866828794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.049597261970433 0.063883997431862 0.00954747038516622 0.0104786214400666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0419509247287103 0.0353239030511701 0.00760574433843013 0.0033228553024403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0485404479478962 0.0243241657479667 0.0103086152946037 0.00178189708903179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0774418497816536 0.100302039012461 0.0193920144082218 0.0266995562893621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0560403154535446 0.0419121919114307 0.00615235087623755 0.00672619611782468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0853837859164155 0.0522438912056236 0.00928556235549738 0.0119953597939178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122230022021347 0.0693440244915152 0.0171272504061605 0.0213599377706965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0620002351831749 0.0837160540883448 0.014726696030088 0.0162143002036523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0697139192690568 0.0327269079015278 0.0237615069975073 0.00156792210847214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141684435872431 0.0407022944002613 0.102093366990447 0.00219345490563987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.229930891156662 0.0584808445012181 0.282397403049783 0.00617415075309931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.375712560939045 0.434101791268279 0.54188932020925 0.430169588089368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.142617772581637 0.18293132752235 0.0750335726205962 0.0819278659948705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0861519598720446 0.101514616023674 0.0289239231822163 0.0260716554117642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0723844474396783 0.0662386313160036 0.0208703064073238 0.0117725321701792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.227383691785862 0.28118871150058 0.188410730585769 0.194056870628024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0862744516871264 0.0952358596247753 0.0199889243556171 0.0274547398858061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.092427105338864 0.0657614513386711 0.0146341080075317 0.0170128046440836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123352715483678 0.0697632561161686 0.0209038373839934 0.0211711523468947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.189363865564354 0.239095217449339 0.135514346143553 0.129506752126809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0932299324882579 0.0763458241255024 0.0402949787671672 0.0116547274353878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.149796427961066 0.0543626582820463 0.119113460293227 0.00485119724113363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.247843734153065 0.127922316327726 0.570918305803338 3.66379589185992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.649345545822143 0.69412737737379 1.67981816844984 1.01970968473342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.241488110237084 0.293540562263942 0.211820196072736 0.203867911300189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.137725850582268 0.164018434179001 0.0699627120088636 0.0663391461933094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.102652525437616 0.106963216491236 0.0401411360636598 0.0295474687361661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.395890465677646 0.460543844412514 0.60133347025548 0.501340123713695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.132508240246897 0.152580903899815 0.0549299580372935 0.0659730954803806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.110674669931933 0.0889318407057295 0.0269256048927198 0.0279367994373065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.131416308661585 0.0767289733709028 0.0301221214349665 0.0236944755183256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.327554612353037 0.395656589870874 0.414133706923963 0.337414496545324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13079702239945 0.123976923149284 0.0787134979578359 0.0324670179132802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.169359185964197 0.0743024894828755 0.175445811455051 0.0123018560650897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.24229605852533 0.0711084684435093 0.320124823451051 0.0189599588177577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0178320951490208 0.0140005604616206 0.000763579819936451 0.000837827009314635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.010762412332559 0.0120444104095675 0.000440380396452353 0.000293737776810087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0161849538691058 0.0206098822327114 0.00119769242939404 0.00052301508760315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0248757532007669 0.0314831861789138 0.00278715604607043 0.000907136886173155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0231909666397785 0.0211357521452895 0.00146735444988219 0.00180224311347357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0233149095925711 0.0254534044545407 0.00105097378091982 0.00292890196716934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0352670528700667 0.0372450443941362 0.00169617338018581 0.00685936154035472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0562800694976804 0.0553389614681614 0.00399031331120269 0.0153841829399538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0123660983099255 0.0115559340012151 0.000611215809234736 0.000274106665295894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0205564013080391 0.0254214375939746 0.00211216595058038 0.00107378184267089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0422564421204559 0.0538070439042326 0.00932039479368764 0.00502757230974445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0724014188704206 0.0908603520096513 0.0277798561179467 0.0148661387138083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0221331793506239 0.0172859191189447 0.00113052537613748 0.00114437664964438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0119380056679856 0.0126018139721434 0.000521808805147303 0.000327304197841808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0163476552737274 0.0207601527867271 0.00121961319037116 0.000531288440893031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0249267205180329 0.0315579169359056 0.00279552798075426 0.000909841717414196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.024746613837304 0.0225487285824696 0.00160744133259134 0.00193348066975958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0236392723503165 0.0256442584930923 0.00107387437887474 0.00294589079173823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0354155734821579 0.0373489838485552 0.00170125725551567 0.00688287993365911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0564484879900765 0.055380697164382 0.0039999823850426 0.0154136665788784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0140271588754604 0.0127263840625485 0.00074176681501954 0.000331800729956134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0207022821409679 0.0255089977854264 0.00212976329894668 0.00107899332045865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0422719987007116 0.0538298835811783 0.00932436698734193 0.00500362889451697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0724619805959908 0.0909318477903048 0.0278404569175888 0.0148959135700218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0307459208527847 0.0235762557520765 0.00218701235813073 0.00197099308625561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0146515324242548 0.0142647080197064 0.000743180805845385 0.000429542103667954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0170687363631206 0.021129377722854 0.00130100404306944 0.000558194559151779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0251509514955245 0.0317387740724229 0.00283133330492266 0.000920791559790795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0282805825475903 0.0251013054603058 0.00204564160928702 0.00226330564612489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0242432962109623 0.025925160267338 0.00112368426794356 0.0029851885481006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0356338138501362 0.0375054207869486 0.00171478179441494 0.00692064165734483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0566328702872795 0.0554485725286217 0.00401564490142225 0.0154540431967671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0178372944287697 0.0155798399400631 0.00111311267124689 0.000510201009055973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0210407617634572 0.0256843708835597 0.00217557897792003 0.00109235598518546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0423274700348049 0.0538630916737268 0.00934047724053214 0.00498334063727645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0725322635897864 0.0910158886307758 0.0279106276097423 0.014930642585897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0517410690976693 0.0392147873947909 0.00655520470290945 0.00509426218726798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0222924766857732 0.0193103564465266 0.00158739801225671 0.000850827938544383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0194087544915031 0.0225610880834091 0.00160123928357178 0.000670111686501714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0258760800772516 0.0322384123643595 0.00296221327496165 0.000967306888932487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0388751795675459 0.0316799592416634 0.00384752963842348 0.00344871703707222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0260944825596188 0.026848831923166 0.00130374379956287 0.00313941095200104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0362789944430096 0.0379026447747605 0.00176738386753784 0.00702936733521349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.05706709017443 0.0556454500060864 0.00406553332206012 0.0155642045988919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0279998708591204 0.0231302656192922 0.00252975170620433 0.00124859395519244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0221973252534303 0.0262894894646753 0.00234563089909219 0.00114383368446867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0425441891651747 0.0539666961625113 0.00940709415434754 0.00495387207124904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0727361801835476 0.0912090823059921 0.0280902356213123 0.0150154961496304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.142125231159818 0.110310936466516 0.0559540257483478 0.0359749974495045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0583422306897758 0.0459170583620698 0.0100923718397903 0.00563460547047636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0356546278478767 0.0328552106702767 0.00454920413761394 0.00196872422806988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0321850532190216 0.0361098823419835 0.00428034449845596 0.00149833393737461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0940682029899035 0.0704403515978152 0.0240174165882546 0.0158507655373572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0389596972684845 0.0339332631601962 0.00318544656715434 0.0047228926667121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.041066120866816 0.0407725815893865 0.00233240857829857 0.00796504300889584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0597463894086426 0.0573601281196619 0.00451716362713761 0.0164705993828881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0754931748761107 0.0590452353312748 0.0171893640952556 0.00952125761383406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0310715156469528 0.0313793499433105 0.00399449578042729 0.00170222392935059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0448780929139656 0.0551563149839985 0.0101801539847142 0.00499947368573513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0743023734287019 0.0925500385906662 0.0293966194534004 0.0156129927252562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.231719246550395 0.185048650606715 0.157267867669449 0.0953163897436143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0954872672032064 0.0747047541006177 0.026755872167459 0.0153597115151419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0552091141439416 0.0466196409378463 0.0100447950618921 0.00477279055493797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0420209857734322 0.0421745204936771 0.00677693299235768 0.00262541095557124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.152447192367489 0.11491069600961 0.0652926380253139 0.0408504426239602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0552711005234816 0.0444783418924279 0.00708298868258806 0.00785597823075384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0480433916929623 0.0457140880491343 0.00351701942481005 0.00973911910356964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0634949744321499 0.0605215142719829 0.00544413088334243 0.0180923908255002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124872670904635 0.0975466385846961 0.0468208594874494 0.0264623211531363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0433844346856501 0.0393321148956951 0.00714192416352616 0.00289128084680725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.048780561157753 0.0574089950110388 0.0116599244560075 0.00532597816476299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0766776872937397 0.0945780146961873 0.031546200518274 0.0166767608845768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0432263047660884 0.0319335677729381 0.00442422163280106 0.00341992567774397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0191413594374902 0.0168445705992365 0.00118082151239779 0.000633682373928769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0186011294919664 0.0217037204519179 0.00147229370015935 0.00061643398497976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.025488193347856 0.0318787768275652 0.00289350932407049 0.00094878080479134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0350091431648096 0.0286909022032396 0.00324602014999555 0.00288810973648298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.024883776929626 0.0265425461438483 0.00121801722911043 0.00309122953309332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0357410467254693 0.0373699809284452 0.00175735765461579 0.00688156819270047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0564961671008579 0.0553582861312445 0.00407056204060381 0.0153792035798379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0226554768187767 0.0197517935538308 0.00172055464422993 0.000936447383462962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.021439807120791 0.0258031857630256 0.0022317754929123 0.0011343253367728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0422758899746016 0.0535906641509193 0.00930721541587048 0.0049995164372492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0722363150511479 0.0907380734732437 0.0276466570528346 0.0148264909788089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0780861015325763 0.0585205685902913 0.0158104101599763 0.0108862428468536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0323659249234163 0.0259828357404815 0.00320695854643808 0.00171419856018799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0238916379030276 0.024573043790756 0.00221879139154151 0.000912688080101257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0272115604529462 0.032810955241611 0.00321944119364165 0.00107637595465242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0550992580966315 0.0425301059096197 0.00837955306490891 0.00605108303452442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0288527892071261 0.0289249282797315 0.00170131638727045 0.00353127738067762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0370450373710759 0.0381107708362676 0.00191842015981908 0.00706517890321394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0570737341057428 0.0556174830582079 0.00422045680100722 0.0154855581880159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0398460312169365 0.0333238252076878 0.00496581086527527 0.00300409743804745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0239228617343854 0.0275393932918513 0.002611240859789 0.00129693902347456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0427782839661942 0.0536334513672994 0.00943080586976661 0.00501832257515099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0722783497538537 0.0907885669097627 0.027653538114877 0.0148619559183927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.149904842310399 0.114936225064335 0.0629027295650009 0.0398009727138077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0607668855874575 0.0472231723551766 0.0110127165375958 0.00623957890065932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0372480556229816 0.0334282536341429 0.00490343402520868 0.00218573068774589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0335414699974253 0.0360427933108418 0.00452891265848952 0.00159880336951152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.100823170311503 0.0767832126892643 0.029251717098718 0.0187276636123555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0400331788863098 0.0361942793497856 0.00367391655269832 0.00517893088462607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0409168098954533 0.0406436665858705 0.0025458961724282 0.00778827586789589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0590145291376145 0.0564993638448593 0.00472684850608453 0.0158932726148205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0771452411481569 0.0629105445733331 0.0178886712330509 0.0115212517069393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0311096142478743 0.0330853238991694 0.00398414199322525 0.00194932302997044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0446879180963153 0.0543571463439539 0.00995891825574324 0.00517859207243455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0728106748112556 0.0910499923761574 0.0279172827539155 0.0150973739482661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.434841613537251 0.350663287838292 0.603168525908552 0.324640301309085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175620796827736 0.138336450897159 0.0909072103531275 0.0560199278981471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0995661645712653 0.0798730188537197 0.0308121928146183 0.0174318825098092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0692840261844482 0.0602519021914666 0.0164600065700286 0.0078976130948551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.288611597503912 0.233079322606969 0.260552542513213 0.161715130804143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0978880841160835 0.0786464172088623 0.0271237185304465 0.0228457556267463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0679134737822463 0.0599850096914435 0.0100380928358112 0.0157873928722029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0749721127415303 0.0665861217106972 0.010018812836221 0.0212015230481422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.229198580177672 0.191219895482085 0.162237188774524 0.105382670154535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0718589682069388 0.0659784485838407 0.0179242092521138 0.00970493998617686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0594517310082803 0.0656499350048148 0.0157229096242148 0.00798554511364193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0807646038073827 0.0978705772633438 0.0336112102627028 0.0196735081803976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.715733979234764 0.590918077471648 1.78867195643855 0.842580943023663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.285231554661926 0.23094505124338 0.242900502264986 0.151612307411088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.160928604527179 0.129784793879703 0.0773919642995067 0.0488082255776832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.109416397295835 0.0907419863819843 0.0378071760301096 0.0220408144260103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.482795102872501 0.411241872742988 0.791483057701469 0.517806688286797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.1657523949115 0.132308415561738 0.0831145430065843 0.0676618677463628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.105467947718916 0.0891550419072222 0.0280599949614857 0.0353955076921857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.100249073640802 0.0848077169395099 0.0222894612160545 0.0334745742521658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.385904636316985 0.335823557081026 0.496212340362245 0.301696642983575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119016134354692 0.106718152493447 0.0483973766162971 0.028241464744837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0826842293957629 0.0866724004877829 0.0295069329782147 0.0171883638541572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0999431597572526 0.119754518495118 0.0556526303417257 0.0518618427794532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0133596810768506 0.0153967122712562 0.000474214888363758 0.00114988906759523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0107192799023887 0.0083630627377606 0.000539295386569062 0.000159669090045363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0191148330648327 0.0115033309680493 0.00179915000406973 0.000161538167347949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0306303048478123 0.0177593467269921 0.00440626812199761 0.000260581472745562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0208723470358346 0.020125507830849 0.00133199746055429 0.00155591329933711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0236697266250392 0.0184756310645762 0.00135012551888772 0.00147111050552503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0323600367229907 0.0284129745948342 0.0020287360608246 0.0037346549685054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0490270411222748 0.0463783233545405 0.00537234731515237 0.00951030093049072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0108273386941256 0.0116558424924176 0.00052564569630203 0.000278963242575096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0217263671700409 0.0151723675518739 0.00239515473575539 0.000232243248840043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0455336596641045 0.0305944086845262 0.0107304414071077 0.000902893445699333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777529830130986 0.052156921608669 0.0314094302981359 0.00267509285369006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0166938887625055 0.0197849763322081 0.000705888898987598 0.0015909412433332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0115359172188463 0.00965560151374639 0.000599399795829605 0.000211908403726522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0192511958089799 0.0118618601651429 0.00182133998329341 0.00017408443950036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0307039555193264 0.0178868435802557 0.00442206433227498 0.000264992785880521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0216045476405726 0.0214675866204987 0.00143224778889643 0.0017228832414081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.023752004097255 0.0186901396106399 0.00135751845155061 0.00149811251279744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0323926108646781 0.0284292663332126 0.00202817176745698 0.00374486102252978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0490190531643861 0.0463885651090614 0.00536428123740323 0.0095152776165606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0118828331077382 0.0131596305784649 0.000600331026637122 0.000341922587772582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0217980238638177 0.0153138337579035 0.00240647767484835 0.00023764106769048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0455248181674321 0.030633985515913 0.0107314980989744 0.00090453590787485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777344761609439 0.0521298019813973 0.0313804898027623 0.00266565483122307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0229633679474016 0.0281501646145479 0.00135363778101485 0.00280036052865275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.013175966642195 0.0125040697046423 0.000743321283225921 0.000371468151154868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0196579303349995 0.0127680695369089 0.00187958190765939 0.000213428372318357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0308363645272084 0.0181973072159818 0.0044516612703836 0.000279836423148352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0235032911221327 0.025000044163405 0.00169075258036589 0.00220598392821798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0239893764474359 0.0192187943849818 0.00138211636247501 0.00156332987361382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0324432116067475 0.0285171045732692 0.0020326722094592 0.00376873424801369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0490261188173583 0.046409209983797 0.00536009555213411 0.00952601204240151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0145363932340288 0.01647257433017 0.000824987404476863 0.000558989793565627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0219851844054268 0.0156754760309006 0.00243558636023165 0.000253608928623055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.045524079179576 0.0306991299529998 0.0107378137750948 0.00090896226683955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777225445461446 0.0521121112077061 0.0313578408411116 0.00265778719383015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0382842372722001 0.0482623336641994 0.00398368587201179 0.00731948728758944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0181347729902515 0.0202179422451425 0.00127960190589481 0.00103029721017219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209358803117298 0.015599410151896 0.00208023468146883 0.000377844360727386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0312583885190135 0.0192093954367411 0.00455014203927739 0.000341550585754626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0298023530626618 0.0350167868851934 0.00269409772386538 0.00401706430274055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0247842765106856 0.020937060426321 0.00147993415981538 0.00179423337818874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0326141309505084 0.0288791300576547 0.00205733234809116 0.00385458749701946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0490767646458885 0.0465518846174413 0.00536312639314264 0.0095768362634074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0217889513882882 0.0255384361452982 0.00167065429006676 0.00148529134313509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0226394025047411 0.0169757286451967 0.00254199895621891 0.00031886256256682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0455903522897429 0.0309349904698847 0.010774129105209 0.000926211698461178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777250829094017 0.0521072210531595 0.0313335037914015 0.00264673793959583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106458611223323 0.133844018151772 0.034153756129705 0.0503110880217161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0440135117031358 0.0553449630490796 0.00654524153517405 0.00815718823053418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.030695964611221 0.0329227506576351 0.00398045257147682 0.00235195146592183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0346844117824807 0.0269191684673379 0.00543629488542337 0.00106565381792946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0659305282509303 0.0864045815643225 0.0135122876171862 0.0218562818374861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0314001435704732 0.0334532129217311 0.00254855416554533 0.00398763005606477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0345747209564859 0.0325595917764905 0.00238196371896179 0.00468999536904915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0501034658112496 0.0478053426810724 0.00554692835981419 0.0100694736641485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0558513853481456 0.0692857655757084 0.0101003174416784 0.0120330250067143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0282380896493957 0.0261875193145193 0.00358139530902406 0.00108235874441072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0466745324015044 0.0332645702825053 0.0112325082525054 0.00111213428180847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0782557702331119 0.0526341853229544 0.0315962413888028 0.0026665027685948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.179287164510512 0.218072396013753 0.101141169398388 0.126012440451108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0720093280367947 0.0911513948904264 0.016945881690844 0.0220480981057075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0442134119738038 0.0522601898559485 0.00754509891466725 0.00651901716518032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0402908550385081 0.0377810325298671 0.00707337871322501 0.00266104960988029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107592518606662 0.140514746625965 0.036854717362543 0.0550808681510542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0416120167554965 0.0489551986345069 0.00479469685994596 0.00802757809194267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0380587648948687 0.0388433062274768 0.0030800839364883 0.00627671401833682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0521007824796676 0.0502412968295883 0.00599925279564421 0.0110431426906912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.091764972499231 0.114785614514153 0.0270532732436468 0.0333180055714065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0364775033327896 0.0381420030312381 0.00553010292030689 0.00274174733345258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0489759349401095 0.0373092117126204 0.0121940212347591 0.00150158800464184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.079396606095161 0.0539552052995636 0.0323481177132029 0.00278978306994273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0324483806985414 0.0423718979221623 0.00281251940040477 0.00597385252963871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.016676167778011 0.0176724933089018 0.0010772555658226 0.000810408675421698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0204147454197715 0.014700631939198 0.00199445255501149 0.000324081361153071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0309687294986277 0.0189834783185556 0.00449796437191081 0.000324480386236278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0274007617962939 0.0329090973479882 0.00222708225126655 0.00351919791263526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0243116126399331 0.0199378118297867 0.00141485282307123 0.00166469668603818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0323759038303772 0.0284044226375047 0.0020216766943295 0.00372330881750415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0488390615746275 0.0460327096755348 0.00533913510665458 0.00940194875500287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0191361647058207 0.0228496719410749 0.00141409188793002 0.00117112037455337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0222341771168261 0.0167088703775928 0.00246751008424448 0.000307410499951415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0454782998530632 0.0307206909700975 0.0107180510472638 0.000941889345317453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777647491607555 0.0521091635369292 0.0314233708567049 0.00270869836797205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0598212522310395 0.0783692771012638 0.0103294682923658 0.0188811600061247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0265452457745019 0.0317450684089898 0.00249563550983192 0.00277490209661708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0237651635396915 0.0211285951159567 0.00253576647313689 0.000846595896423088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0320249113104767 0.0214268651895058 0.00475588020305443 0.000519285788648327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0412918803071371 0.0543455898553961 0.00516698967196051 0.00901696659379795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0263778593717114 0.0243577975248282 0.00167726281489953 0.00231662868412301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0328452752526481 0.02929789876919 0.00207817203188692 0.00389018692917851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.048920024324632 0.045965684803914 0.00535375140378994 0.009388165384611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0324670824093585 0.0401997830690499 0.0038247433783357 0.00395887927325858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0239997435513518 0.019950550684084 0.00274346500604204 0.000522427031870895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0456211910826789 0.0313380295233198 0.0107839834613604 0.00101650796211702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0779050413703517 0.0522204993853451 0.0315236767972608 0.00276328435261771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11785478593978 0.152543566680901 0.0426394594447615 0.0672350221113796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0487719990359285 0.0615053896557543 0.0079147158222933 0.0106993936587875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0333676144938794 0.0363750123801427 0.00450149406962098 0.00308845360891965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0357642729356699 0.0290950672567458 0.00571186963267304 0.00136518737443305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0751744054155882 0.101409984344135 0.0178740426993888 0.0299669218903812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0329840667668465 0.0367352678609149 0.00281384897875335 0.00483498608900565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.034826870269509 0.0330422278136441 0.00239409213295883 0.00470280731841083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0497030294632167 0.0468132883916295 0.00552233388759628 0.00968882016178863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0613401522777148 0.0772311366877148 0.0132689590604513 0.0151956674197357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0293493201686904 0.0286438403897775 0.00377210187817229 0.00142607919271804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0466957464638565 0.033650586949849 0.0111966684496567 0.00128336713420903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.078531034993206 0.0530490010575643 0.0320005894306549 0.00294875270235863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.362439842668803 0.438868545088702 0.447890988756419 0.489896842274789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.143148789280804 0.180048525830586 0.0655850382812224 0.0915419480029234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0809500542879937 0.101432439415294 0.0229338131870983 0.0281441240686938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0608788642431816 0.0690579467993366 0.0144352390237996 0.0116615622030208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.231163741399435 0.292838381449405 0.183081829211529 0.233194283525472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0741293423427898 0.0977331031398792 0.0172214277588289 0.0311706996847398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0517671894096383 0.0602879796646049 0.0067283410435966 0.0137195784080846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0586449524784349 0.059756384837584 0.0081084683373923 0.0148825682316954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.1861320269464 0.228973580586809 0.125343339899581 0.12749202793364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0616219671265957 0.0728575071617032 0.0141851909239774 0.0120761324374869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0570897514891824 0.0520289768641562 0.0160100127366115 0.00430950889973887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0848728056283649 0.0630452277528889 0.037409446452773 0.00506407914743099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.620518737901639 0.708345278512102 1.40561575081647 1.20004881714254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.240803359317125 0.291615678007883 0.183986746516967 0.234872959518559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.133242106836796 0.164766630551146 0.0584715918944523 0.0765708444235949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0917473109427908 0.110628054708057 0.03025634292112 0.0332166052869278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.40640501106569 0.486778350562301 0.620796087030509 0.63716191256261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.126372889477743 0.163870928467992 0.0533228406907518 0.085040488229439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0788836788273212 0.0951214429050725 0.0181040833563817 0.0327650902984392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0751162528166903 0.0820561167319695 0.0145195447581769 0.0269526774763874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.324855627128165 0.387911004000766 0.396687807609537 0.348844823236543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.100437637236002 0.122831865694866 0.0367370003271979 0.0357217471806823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.075234470305981 0.0786008179890898 0.0272810153934991 0.0125727566073588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.099110070535164 0.0830828179641036 0.0527332976542022 0.0135962390592178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0120173147402092 0.0106374222682255 0.000353803787423771 0.000548603107242692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00599665999589376 0.00585807187235906 0.00012214561242981 8.59605375129832E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00816498300429753 0.00818749963173196 0.000295912207817923 8.60889883108807E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0132164447814184 0.013112326584725 0.000794263340686794 0.000154981328769155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.015228517331071 0.0142933827279125 0.000671733817195294 0.000850319880663044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.013632655959207 0.0141287890127764 0.000407102506404936 0.00088562021678325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0192537150949761 0.0196421018425091 0.000585301865056448 0.00190786049580386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0288881130574398 0.0295749537636099 0.00112285913374951 0.00420505234650213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00810614450961814 0.0072940314544534 0.000250259431645394 0.00014762705816925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00991423453718656 0.00978816245984728 0.000460849319017834 0.000130973448674461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0191171353955987 0.0194870781377176 0.00182183604678664 0.000502095872122454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328231204411764 0.0330952569085172 0.00548787382817185 0.00136803287045771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.016754751441608 0.0138076475155027 0.000626366178249607 0.000784705411555787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0075855096190481 0.00666931257405694 0.0001807838359425 0.000106139794494861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00853490349098524 0.00839313081191549 0.000316526225880065 8.88950965329374E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.013324070821697 0.0131395855138546 0.000804365477522159 0.000154887815650507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0167215312445333 0.0153241630963643 0.000776109328929387 0.000939499167248075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0140092122055111 0.0141173886317573 0.000426342806801675 0.000887178416717563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0193635065363524 0.0196295449287571 0.000593320004571564 0.00190663995418357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0289990296754404 0.0295821067249987 0.00112823906910386 0.00420418283570901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0101818449461876 0.00857704450245236 0.000372275210760039 0.000191376004065888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0101565781138321 0.00992133875303119 0.000477178897868007 0.000133378253754238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0191534670952959 0.019490614327988 0.00182721845452458 0.000500057011585953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328428649713311 0.0330926700950896 0.00549538756867508 0.00136609658944582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0248795519411226 0.020276500506005 0.0014294538252566 0.00145309958610022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.010632842153702 0.00876273262182176 0.000336873925057106 0.000184798008154546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00955610028358495 0.00891182578640731 0.000376716611823055 0.000105834262123546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0136384154041483 0.0132491854467233 0.000833671936695898 0.000160589095187471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0204247373066188 0.0179706550711805 0.00109806342956218 0.00120645094053954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0147076944423472 0.0142885409440301 0.000464444843608432 0.000907905048237303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0195621332408963 0.0196648226667734 0.000607139504489004 0.00191247853483897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.029140030288318 0.0295975726282989 0.00113778978195878 0.00420644979282725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0141841356852738 0.011474786068945 0.000672682789529018 0.000336433726201775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0106422241532754 0.0102374625331252 0.00051153694677031 0.00014254438800698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0192478379429329 0.0195082209036363 0.00183975382843418 0.000499864922748059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328730573959066 0.0331019873922902 0.00550641027717484 0.00136533433634378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0435486686022706 0.0354361399645718 0.00475489146632138 0.00394731402444724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.017972816142519 0.0142053585113346 0.00093169356526151 0.00052122834461081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0126216063263995 0.0108052647962998 0.000597567919200728 0.000185970106261831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0147265575866365 0.0137197889207729 0.000942874364672398 0.00018966849352875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0303969813688206 0.0256260349818256 0.00239218789742015 0.00224121310204197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0166751150131394 0.0151845822550768 0.000595789378356727 0.00100816007932532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0201551505742358 0.0198647427479981 0.000651904210797423 0.00194437634801409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.029508467643108 0.0296653072929928 0.00116961768297469 0.00422169261531317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0236894145426297 0.0189765736368611 0.00177711224248358 0.000944611511728458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0121698640482575 0.011379488402602 0.000630399688177498 0.000182354811925722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0196332808791021 0.0196652588861469 0.00188822420579905 0.000505158274790866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0329770108909521 0.0331547756189232 0.00554063694723887 0.00136734410436658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.122597028691664 0.101546442253464 0.0418566133552826 0.0287575808584247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0502407371405568 0.0400663933824559 0.0071272181205833 0.00436768211006479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0292507904074179 0.0232284883565114 0.00271032704646589 0.00122819784782511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0229153440274968 0.0189476781387659 0.00199422000526842 0.00056989728231958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.078304096021867 0.0643152796729021 0.016696677301128 0.0128839557313743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0286446318668229 0.0235796731247466 0.00192434143630568 0.00215571116024456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0246848215299456 0.0221826913370953 0.00107972092331266 0.00233577340989674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.032198941193107 0.0306448764606087 0.00149945298960284 0.0044599060359072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0653969635686384 0.0528963500378497 0.0130455436931828 0.00764647694899722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0214349869767727 0.0187860713222389 0.00168387426371178 0.000658537881877725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0225112729829812 0.0214004762839671 0.00230866765500778 0.000604132716665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.034223579081546 0.0337814856611881 0.00587427653730031 0.00142181201677577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.200442925657066 0.172058419822998 0.117481270101939 0.0777087992127413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0830044061390058 0.0671411728598321 0.0194629907790377 0.0122057107163636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0472367915200152 0.037613576757015 0.00672689949847204 0.00351911072515257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0338542721265097 0.0272588883641131 0.00396694700294048 0.0014584722804112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.127604821619983 0.106106015340717 0.0457380707165026 0.0340085122869878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0429526849882142 0.0348694999194744 0.00462410293588123 0.00443120759543133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0311207134311784 0.0264954842925982 0.0019289518115116 0.00315731098267682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0360687328630097 0.0325854034986996 0.00214362391656673 0.00496203986642911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107825983211984 0.0883202957753268 0.035453825676865 0.0210491648021406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0326878313817264 0.0279250123770147 0.00366193328899445 0.00169043331425053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0268510633238742 0.0246027647077792 0.00308225585701634 0.000849114879257185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0363607242088286 0.0351558085132596 0.00649659170389006 0.00156530565644192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0346119510209403 0.0291005997099283 0.00303783644269855 0.0029513148635544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0138571122564148 0.0124023132499558 0.000587964154317869 0.000421249589968805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0109377879575607 0.0104357155870953 0.000465151278441573 0.000173483762751447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0139917119044001 0.0137576722859244 0.000857492225680675 0.000188622723083996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0252804087105688 0.0229349163827691 0.00172513681854667 0.00185662528953743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0152345334707965 0.0155589938626599 0.000483533164361716 0.00102698714134979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.019626064803717 0.0201717382251809 0.000598019813162212 0.00198177984405087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0290206094931916 0.0297868530776327 0.00112531407699761 0.00425836503425113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0188523334655956 0.0155203431567058 0.00112010525304125 0.000646266852305517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0112487804238741 0.0103832062222952 0.000559675910617064 0.000153834249877171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0193365643623946 0.0196131313342279 0.00185589247768229 0.000502541575348188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328139682302638 0.03326556427997 0.00547300171645009 0.00135576416546217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0642069292166621 0.0540296280396672 0.0114801065150457 0.00939020434757375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0256771184429815 0.0220285677923093 0.00198409672232616 0.00139206569226056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0162509181639724 0.0146543957247365 0.000947962068885139 0.000433975625176585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0162364025496531 0.0153736165855767 0.00108930912865251 0.000287154472665997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0427497665666165 0.0367450079348985 0.00509622944137903 0.00454533874147355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0189138063955593 0.0182667144349434 0.000758844328418587 0.00135701610057548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.020697461127512 0.0210704229103392 0.000670676863130374 0.00212260271887719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0295420039857508 0.0301182982525868 0.00116881906285693 0.00434726310647467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.034409969004568 0.0282218310441762 0.00361150015958393 0.00226725697568062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0142187788010806 0.0126323073230775 0.000823264140340571 0.000254059075500285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0201182727335482 0.0199881409097393 0.0019627165613396 0.000522510097707879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0329747759103108 0.033545612581471 0.00550052866277838 0.00135406993808558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.125098630541239 0.106041099172551 0.0461710055450915 0.0334936134932057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0504410188508375 0.0422927496782975 0.00756623460890835 0.00524485701354232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0290089685731212 0.0250149278662995 0.00279095169482441 0.00153262677130792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0227722440786083 0.0203658427407519 0.00197440683668105 0.000700705123934267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0799688339292983 0.0682495741582491 0.0186608720402013 0.0149437097954541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0284591016636334 0.0259810190682205 0.00192078298451378 0.00257575332838541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0241597861906607 0.023668327448868 0.000998065937269723 0.00259289807004116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0311130127044549 0.0312979248491319 0.00137297277472636 0.00465220682397004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0668072859896925 0.055226770714992 0.0134559493997967 0.00892818808537188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0217753486343953 0.0188812979815148 0.00177278901378549 0.000711687810424888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0225722667790422 0.0215112716113319 0.00234369290016713 0.000623907904840429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0338210349167279 0.0343130000714971 0.00568644826419538 0.0013835051001244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.359492347760692 0.328504471302654 0.4357908640316 0.277992233219258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.148172731374347 0.126218728612805 0.066037692468888 0.0452836097802109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0836692092014875 0.0704384763479075 0.0212290504054946 0.0138389985679378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0565939834465112 0.0480002159122301 0.0104590195769324 0.00569925197667179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.231408507871701 0.208792887179194 0.169149611723383 0.124170165846211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0753041011269746 0.0658333596752838 0.0153265145850394 0.015059720160776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0461522121264089 0.0415766620877072 0.00482830055879678 0.00727898811263178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0434610369986628 0.041344674264866 0.00364594586560887 0.007713772736959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.195509065779219 0.170653907116616 0.119362995061694 0.0814826848373698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0577364147715393 0.0491509878273977 0.0115046135326202 0.00617322589562796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0380368673154292 0.0337816958910412 0.00600601369231059 0.00205141172959588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0411093988969898 0.040492801853297 0.00795358850563335 0.00207680371256432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.583372556866609 0.564732681684047 1.25238874345281 0.753796204746958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.241024619981801 0.213399936227458 0.178825762172071 0.124299316833709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136057141440639 0.118130992044073 0.0547524995401043 0.0391652004179672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0913634363601956 0.0785938709925904 0.0255106747020179 0.0168752404211143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.381999932975033 0.362594086179194 0.500944859332055 0.355000255965124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.12600022190694 0.111106839910343 0.0450429553366835 0.0414801121434991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0730274256955164 0.0654008249932419 0.0131490450777964 0.0177270066801578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0610894541644521 0.0585645541307168 0.00839918101447915 0.0151460889223982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.325736313932925 0.294269193648023 0.353799072055385 0.223105343984733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0963405923276899 0.0821979553789231 0.0324023626119997 0.0176832460374489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0580764677416702 0.0515313720125741 0.0140850615653838 0.00601787167195032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0540520083020646 0.0525992712052317 0.0137508021021147 0.00478145030808195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00921542223246257 0.0103013720880884 0.000185045822185782 0.000487377255224125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00430220604862953 0.00651310070241813 5.99037452250822E-05 9.87888123645207E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00540750585970535 0.00909577302356579 0.000131294477379632 0.000104843190379896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00895455445554487 0.0153209152089908 0.000381354672251967 0.000191159897351421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0122154653937631 0.0152559410756196 0.000410524241820656 0.000887422573820376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0108846170390966 0.0163057764352412 0.000234869732931493 0.00112172601577967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.015699342668126 0.0214687190582923 0.000370103796528062 0.00224652706907303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0251900329421154 0.0315780287604454 0.000974305209947858 0.00480820505741323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00688900292627075 0.00763393771488822 0.000182757959338749 0.000135488087657859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00676920582061549 0.0114349510170495 0.000208596191400542 0.000135090363763446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0126314881360053 0.0226748608750235 0.000757435815667867 0.000519944708866236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0217808204711722 0.0371056476570467 0.00230200990730352 0.00145235349612395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0134386952704019 0.0139903605159524 0.000372429380734661 0.00075698934605063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00562658274238642 0.00761514581535168 9.58324807050232E-05 0.00013246948406902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00575509151169013 0.00940698591189617 0.00014395708252614 0.000112373055535269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00906777032567023 0.0153992111936826 0.000387691095235266 0.000192904451756125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0133377094653146 0.0167220493620481 0.00046883099173974 0.00100164443892405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0108913400010514 0.0164487251994151 0.000230826194846319 0.00113463699563694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.015711517483009 0.0214969078962886 0.000368625740702774 0.00225170488405821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0251896007499897 0.031615262981988 0.000975091705045809 0.00481431265499913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00859889948909872 0.00893358720107799 0.000260481885968636 0.000181028227208146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00683405417612186 0.0115250103812798 0.000212721420983779 0.000137494577465044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0126300948985487 0.0226924229741414 0.000757778695596275 0.000520569283281632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0217808979111047 0.0370760063211578 0.00230210120812054 0.00145316123269236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0207005467217998 0.0212226816743071 0.000984629137509628 0.00152842822852306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0083644017501421 0.0100264849390446 0.000207072483094849 0.000234968780177466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00671400728210908 0.0102188073039186 0.000184591497782317 0.000137334294606692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00932370697716563 0.0156351584595138 0.000405594149836911 0.000201433964925022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0168264406849749 0.0198573037146255 0.000714443155516926 0.0013186518347192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0112410209455635 0.0168234162315384 0.00024279025368534 0.00117110848436588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0157853518721318 0.0216050419896052 0.000371584724517698 0.00226720875227605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.025200724864305 0.0316933255165829 0.000978454133758873 0.00482769391414357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0120658200503815 0.0118842901235258 0.000471485888519226 0.000331054473360277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00721880107845928 0.0117791364971522 0.000232006797049895 0.000146331958965501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0126659949971853 0.0227329044934711 0.000762014713395607 0.000523144768182574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021791432016261 0.0370660585360172 0.00230439399100128 0.00145522104641641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0372350270822757 0.0376699230016839 0.00358988762270079 0.00442448160726566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0148914994006482 0.016234365779283 0.000652394424933777 0.000653743131485958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00966041885973068 0.0126497200489854 0.000343479572588562 0.00024322670220896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0103922878780941 0.0164529521597228 0.000481984326561703 0.000239370799919157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0261745851123522 0.0285444356843598 0.00177238085780321 0.00252617118675716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0127131918037922 0.0182376701351114 0.0003155137318805 0.00131542274956458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0161600837655802 0.0220029350757639 0.000391377961761327 0.00232500593276364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0252854059442337 0.0319354290004495 0.000993395390493589 0.00487237108525058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0205519884013148 0.0196828542464163 0.00127944138961295 0.000968742727580231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00864875341217945 0.0127083643223187 0.00031080372091639 0.000184227583535087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0128549934066712 0.0229113392617681 0.000782441949695394 0.000534168252254967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021836627975943 0.0371191190350278 0.00231491269104783 0.00146304899508832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107866099763724 0.108151883902491 0.0335540976550127 0.0330641716068653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0429797839189748 0.0439500262626226 0.00543310220775853 0.00518096902001457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0244170306812246 0.0262566653592017 0.00191511086935898 0.00150438880530167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0181410435323136 0.0225940520271206 0.00124660275835611 0.000700139707737447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0699638266271917 0.0704802011336933 0.0141021568221476 0.014565991792772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0231571200704404 0.0281141721559447 0.00131741574887259 0.00270164695224979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0199190333426992 0.0256770661468516 0.0006668072849336 0.00290406340372616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.026692182178255 0.0337818534775661 0.00117137042949641 0.00529138916090048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0575344881293517 0.0548914800695618 0.00971671803183878 0.00800107915735948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.017734629106177 0.0196834685953973 0.00109442983653103 0.000643678453536404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0153612424174402 0.0248402198581444 0.00104367914286889 0.000661224867084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0225586095690553 0.0379734019915418 0.00246218678643067 0.00154089187477577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.179927586896081 0.179161611913733 0.0973674135368773 0.0866146025347828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0715281422852656 0.0724815636040562 0.0150709383299066 0.0141843583138224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0400594874764047 0.0414091589096212 0.00496294301805147 0.00416773891267078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0276455078946954 0.0309954542224869 0.00266842694986753 0.00171773435010341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.116307265054315 0.114812070369505 0.0405508713140631 0.0375830193733242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0363052242919573 0.0406329895608348 0.00361047435541279 0.00531729029347879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0252306628217087 0.0310813044882524 0.00128228576553485 0.00395508898421643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.02932844947772 0.0367454405331163 0.00154059718396501 0.00600846219176698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0950302784534477 0.091132757141507 0.0267128465671692 0.0218998195989562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0283546986527818 0.0285951498903739 0.00260926663170855 0.00164499022381319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.019393071597073 0.0279293384423646 0.00154446575856953 0.00092101452468424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0241060549766675 0.0393757132979797 0.00276082749909991 0.00169389640674368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0313010778206023 0.0306606992061016 0.00250430833195417 0.00302963599057704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0126727594984467 0.0135731146278916 0.000472312979608427 0.000466284552334106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00861441365760066 0.0115976087177522 0.0002821168012252 0.000204468110276258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0100428585388876 0.0161141219564722 0.000456255094448348 0.000234512731901816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0221264565095357 0.0238688279262738 0.0012816589334196 0.00181584964028447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0126418100357134 0.017629623315651 0.000322583642131907 0.00125062267695926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0161130183595339 0.0217821118396819 0.000394400608970232 0.00228123195667092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0252770293047249 0.0317905535087286 0.000988931057635416 0.00483489087308431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.016892440230269 0.0172020846004571 0.000883169372628856 0.000745268242917306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00803336698613994 0.0123519684223642 0.000273417910276204 0.000171354271844182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0128753103928576 0.0227664871062864 0.0007780409805874 0.000520245505750321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218594572483905 0.0371484730146836 0.00232593475144983 0.00145095037012921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0598546417023422 0.0573982212735086 0.0099817235057397 0.0100437455659435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0238461863567493 0.0240936174479158 0.00167097195910088 0.00156740468180307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0141259783170659 0.0163792175747798 0.000685861066901851 0.000509395342932392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0125183939306094 0.0180472834211903 0.000655297766544768 0.000355527313694169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0387420619904139 0.0389824412900427 0.00406367575415346 0.00450665076252004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0163027162278207 0.0205021634452661 0.000583480948752118 0.00158684073566092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0172069211973666 0.0227064961214601 0.000464955538924664 0.00240648765753359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0255539283472709 0.0322686178220729 0.00103069361590225 0.00492049292284353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0307382595625633 0.0308998650043704 0.00286857071338554 0.00257916894000229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0109547887137244 0.0146716072294362 0.000465463552449865 0.000285062812686224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0136146802648032 0.0232605496627244 0.000847163395214834 0.000540637002207561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0220700505651986 0.0373669310424412 0.00237786553765712 0.00146362922006161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.117831111714386 0.113185944998045 0.0410884344664616 0.0369887106595507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0469344266621347 0.0463126428495505 0.00648165588967456 0.00598989995396074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0264388880018036 0.0276351015049578 0.00221766960942706 0.00179296387375847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.019183626616754 0.023745887262387 0.00137796174599934 0.00086068072346585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0744106305112389 0.072770399766278 0.0156006788947604 0.0150423741032314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0258785707882997 0.0286143444537295 0.00166544486334058 0.00283431805849908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0205972493738219 0.0257625539230915 0.000749183793215589 0.00288910866923526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0268694205677639 0.0337502969408306 0.00119816783472191 0.00523289453396675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0598621025135879 0.0595858456839002 0.0108696893669035 0.0099154515243887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0186789253083024 0.021053576430019 0.00121112756076865 0.000774859521668928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0160396182894075 0.0250955165866331 0.00111143089060424 0.000644105004972808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229994869894482 0.0382020137481467 0.00258191415670854 0.00153137667704939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.349160064201467 0.343465009766774 0.403841382172905 0.296901694697627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139656117166835 0.137609174547855 0.0582401731281773 0.0522712838916465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0772961211179539 0.077429900779292 0.017844983388347 0.0162604787459045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.050908909695 0.0536845201807936 0.00830295318401422 0.00687766800991164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.219538570680122 0.223739967303534 0.146029488088444 0.130029673440175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.070881167552205 0.0713791836896425 0.0141556465619084 0.0159374660745922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0416033982797164 0.0451031812029693 0.00411144555557992 0.00774841163424144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0390007613196581 0.0461015635818908 0.00315214120392438 0.00876199626113086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.179966235131948 0.178150630952138 0.102733884232975 0.0857257443747355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0538436270194502 0.053541695806421 0.00939427542648454 0.00664484841754936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0315334043728431 0.0384409580630124 0.00392451542954761 0.00206603072823066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0318506264532493 0.046305207626526 0.00517061640117813 0.00281384250440949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.584881638911132 0.576315157969252 1.22038467100881 0.765727860873251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.230703352326732 0.229807037577499 0.161698879861472 0.140259610464898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.127751285840465 0.128344214180324 0.0478294739270862 0.0452579437466259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0835361228909651 0.0867041177441234 0.0211900591361964 0.019783087155508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.370166328425169 0.38927470211286 0.446069089748744 0.372726648234348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.119812565820025 0.122004974074818 0.0415374154266444 0.0455999482725233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0675374661202243 0.0711384332566647 0.0118434909316854 0.018704689885443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0566616194791063 0.0640030406844967 0.00761682113902313 0.0162383615281709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.304383401339357 0.300303691494867 0.314787054413158 0.227809305996102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0916914476727056 0.0900860094721569 0.0284469049844664 0.0195637591264299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0514625222495479 0.0582651415342057 0.010794238639613 0.00594964168837375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204957272943354 0.220163624847457 21.2097605228018 21.2999779825651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0107182246136835 0.0122001041912473 0.000284247117045595 0.00073359097190132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00701192004946163 0.00642595398491613 0.000205610917815848 9.96905192746866E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0111667884635899 0.00859962697185248 0.00061171642642026 8.74710164863475E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0189164554142197 0.0144923046278297 0.00169096445788431 0.000152798595040304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0165430819858385 0.0159483149712289 0.000800996196014305 0.000992946651442461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0166035703276 0.0154291407100453 0.000597368257880126 0.000995405486273994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0228418178879193 0.0222794722678429 0.000911830362641507 0.00222647003618176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370356952316317 0.0352634852184848 0.00307842096263006 0.00517702077149519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00843378151160148 0.00932885439689202 0.000304598101852454 0.000217783769952957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0141842976303284 0.01136496227449 0.000972154751731913 0.000113507604776826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.028175377236772 0.0221133699181142 0.00400235320693607 0.000394229347473104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0480211375327762 0.0368171125372157 0.0115872943620767 0.00109919306611864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0138372894721369 0.0172082082736829 0.000465943950374026 0.00116488225867792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00781257369094164 0.00798730907211492 0.000243168355952218 0.000152055851963675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0114167020607059 0.00914092963997508 0.000627917448900136 0.000102284192306078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.019017259599142 0.0146691824291403 0.00170066759912311 0.000159756583648281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0175503025524288 0.0177727093334875 0.000892894758214031 0.00115845686176964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0166243998763068 0.015641839919489 0.000596264498418242 0.00101088925008194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0228365651287258 0.0223145924490207 0.000906531975637145 0.00222658898191625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370187938152769 0.0353706362567737 0.00307352951232701 0.00518788708023131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00951667265987136 0.0108940396992452 0.000374326527940748 0.000281271825341606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0143196884238574 0.0114757966645065 0.000983613343992294 0.000117059356672469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0281756392046106 0.0221375958667762 0.00399883659194995 0.000396144630108547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0479584690493913 0.0367864784913688 0.0115615768191977 0.0011028803332144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0201086440297413 0.0255349616018666 0.00101940924208884 0.00222308511607371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00963914109201211 0.0109933189721539 0.000349908398093457 0.000293516773210547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0119499426530181 0.0102555869323343 0.000669995779863635 0.000139561764454268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.019190943223206 0.01501490905904 0.00172191083952066 0.000174995879010456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0200122364794961 0.0214434922489365 0.00115327083091956 0.00157798913241888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0168530127234284 0.0162062266963695 0.000611139260610621 0.00106150581824823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0228719574408268 0.0223989559380752 0.000905279746127506 0.00223873743049874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370297458560388 0.0353811643913443 0.0030715301861135 0.00518644382238994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0120934176211287 0.0142524180059614 0.000564274163791967 0.000473373722213288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0145408097297254 0.0118346917094502 0.00100697986794271 0.000129166098161807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0282185572154724 0.0222104017165448 0.00400600255204343 0.000400394016251704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0479514066422201 0.0368018655177009 0.0115592384874783 0.00110686083367057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0349657205293369 0.0441325180701716 0.00332044125511841 0.00603661784918488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0148790784097607 0.0183639293058496 0.000765791883655583 0.00084931744924114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0135620336120548 0.0133545586881052 0.000820207775160851 0.000286894769767855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0197174069179811 0.016085368874461 0.00179445835866369 0.000230836264717521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0275207005413299 0.0311304011632827 0.00219530827820904 0.00310852469977559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0176999505755365 0.017994376914033 0.000684646183136394 0.00124905358055985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0230677772106198 0.0227659501808213 0.000916453650686672 0.00229557900130675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370748322180045 0.0354382636113135 0.00307622389972096 0.0051973500263596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0188253887026833 0.0226206854435114 0.00126628228107739 0.00124780984451723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0153313175401093 0.0129961683937336 0.00109365459163348 0.000179565169705775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0283720378272901 0.022451721262315 0.00403583324711275 0.000415712963981466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0479654745966374 0.0368596897351964 0.0115678369797532 0.00111839129721258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.100372907377736 0.123953338828134 0.0299771144754568 0.0427318385843636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0399478240226584 0.0506334719914818 0.00504488820736213 0.00671515522294572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0245818152906618 0.0297805150732785 0.00228884734840153 0.00196332006126644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0241528150802201 0.0238803733923369 0.00249970503067167 0.000841048797213394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0665409974696466 0.0789419443104453 0.013736401852088 0.0182491653218011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.025393393911268 0.0295450493175922 0.00161657249928815 0.00304201075787876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0249287836751584 0.0263673629918147 0.00114233909621288 0.0029330661778701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0378567942957424 0.0363552937855256 0.00322196432613363 0.00545268295739878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.050407153427684 0.061487136671191 0.0083466985399873 0.00974625557885374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.021445618784638 0.0217547230855344 0.00191642270553023 0.000794869109761996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0297897770071491 0.0244387287371678 0.00435149379210431 0.000572211663009948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0483948851860025 0.0375847971192298 0.0117770801940867 0.00121413382695822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.168347797667429 0.203409865234882 0.0879534891460661 0.109745440507912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0661243404240367 0.0833312917971943 0.0136000265741178 0.018266829600034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0379676122089735 0.047587932340515 0.00506019926900998 0.00543969747591801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0306220950402595 0.0340602954938192 0.00378505270443173 0.00215026577620545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.109654435776727 0.128677662391863 0.0383228033268896 0.0465897860586972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0365039790990135 0.0442214349269348 0.00367423308330763 0.00650734227226689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0288843001995009 0.0323108106673231 0.00169576369878772 0.00419948355811165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0396617406213385 0.0387749459514225 0.0035823798608793 0.00611105678790012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0833302417104557 0.102129171783021 0.0224835754120028 0.0267479692158245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.02983727719567 0.0328685846505663 0.00344927191540048 0.00215450537746681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0322662051624456 0.0279856685149269 0.00496547417765305 0.000899856746991186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0494092795541636 0.0388858162945349 0.0122669003699808 0.00139512191080977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0296931231729343 0.03663180953905 0.00236867061841657 0.00438264327466737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0134966986230508 0.0152359667480299 0.000642725576542738 0.000599518287861281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0133217651747288 0.0117189754253119 0.000801023649136835 0.000209392614903732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0196934314135228 0.0154800515078117 0.00179975467728276 0.000195745570873201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0238138446236344 0.0270260270963036 0.00167795108556092 0.0024273844092317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0175491737750054 0.0169350601458483 0.00068890601660788 0.00114647316796879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0231638653258358 0.0227170790468677 0.000942294019374316 0.00228970731850704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370705310697333 0.035406014899933 0.00308169160687204 0.00520028918630699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0160021987499755 0.020682791860352 0.000919896754980824 0.00103112758444881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0146976713731573 0.0124852943592691 0.00103256908988922 0.000166046419457571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0281691236801994 0.0220692992296955 0.0039966788141411 0.000405662509691696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0480827245532414 0.0368129162099382 0.0116152637885996 0.00110876101020192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0548967703085448 0.0686493407274333 0.00871942101785228 0.0142721987079269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0232031681935075 0.0281769693870033 0.00179748448711035 0.00212410889511135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0172238285485459 0.017623837421542 0.00123902557339838 0.000611751353140178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0211839875244173 0.0176514716651367 0.00202755775382622 0.000337096110235864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0372177054305781 0.0459257470667026 0.00427659589151492 0.006497253131848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0197029915905478 0.0206408473016677 0.000927341842154349 0.00160189922675296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0237878448866794 0.0237307148268984 0.00101776943341874 0.00245893356422486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0372728695652556 0.0357990052324505 0.00311661780672188 0.00529330711586595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0285126628038514 0.0374166290459379 0.00271135536190526 0.00356799297006911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0164192150848204 0.0155430407999966 0.00122945601895948 0.00033245889338534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0284405054786623 0.022390762693154 0.00404798318925843 0.000443834259058131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0482782426940303 0.0369385744865723 0.0116953354011749 0.00113343076885476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107152824715207 0.134195380007737 0.0349679788383064 0.0514633460695743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0438484739408352 0.0549673379931754 0.00620399755683964 0.0082244032252747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0274356905044535 0.0315170348236393 0.00281464655057949 0.00234637912514685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.025621500773232 0.0243613449195324 0.00280087361166113 0.000958156318422714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0686846390717603 0.0871791333414813 0.0150918995302085 0.0220957820938146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0267001732783288 0.0308067360685137 0.00188704458223482 0.00332697161047978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0260755394942441 0.0271618843466607 0.00130643987928477 0.00310029910909112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0381428824323151 0.0370842768039839 0.00327731459697866 0.00563584499795334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0550772139560455 0.072540593900499 0.00980859279937013 0.01378381233665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0219299776361287 0.0238279744148485 0.00197985349438679 0.00105695771995148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.029416005453929 0.0241277252458807 0.00426193012814808 0.000603785859660464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0488995459466857 0.0374383911882002 0.0119288590062934 0.00122884752348231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327465789185502 0.387659531505397 0.356269978797604 0.377638424945476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.129630349776978 0.161600975038197 0.0525558480974674 0.0701721425354875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0732926204702033 0.0907357697250868 0.017664279023802 0.0217279046272728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0517478146856465 0.0601462551699737 0.00971126803117485 0.00861637780858106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.20882806665869 0.253135613067786 0.14653919015284 0.1723668907899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0658591041114674 0.0807714534961863 0.0132108350475194 0.0211168776327628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0429227766722962 0.0502166889761812 0.00458435533283585 0.00959901196316778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0468069537445556 0.0487595824493772 0.00513633998212346 0.00953826813722137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.168858381341516 0.215715192349035 0.093816835190541 0.117310683283519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.051007065240114 0.0640970131081952 0.00939095644315034 0.00968913772946274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0401656835849097 0.0389242263731464 0.0071228932540413 0.00261882108058813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0546009001664229 0.0444634219822184 0.0145368647181915 0.00239194728702374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.555105739359036 0.633646612690719 1.09548599862793 0.942669941762637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.216549623541091 0.264526719548598 0.146445070027871 0.18127018089913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119938903017158 0.148918364847233 0.0451786148077869 0.0593502060490829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0810379188395858 0.0975596376668719 0.021902705035055 0.0246205695774422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.362037970213344 0.420002097667257 0.466789302148635 0.454831957629547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110745625399235 0.136180634357976 0.0396180783273825 0.0591483893476486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0661687471227423 0.0793309155438198 0.012297890449525 0.0232990436853884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0618493070697695 0.0674564070189997 0.0095078902897518 0.018073301524495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.296521262569715 0.362170741232148 0.308184967813461 0.309074595991829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0851684152226609 0.107670596291364 0.0262233080715655 0.028075654931505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0578827105639528 0.061177333282398 0.0144593202146795 0.00783997753691694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0659311444191537 0.0584336849451941 0.0213676283901807 0.00583033609215513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0146958976613311 0.018083946689336 0.000492542596919844 0.00146562951025878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00936879946062355 0.0128592353745241 0.00036041123017118 0.000340481945581195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0147952492666341 0.0208770175452407 0.00104765773490038 0.000501692836771594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0226134774381586 0.0323767097385082 0.0023891263576656 0.000820878493358352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0207877822451832 0.0255464989770716 0.00120207050983175 0.00268895259540522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0210798010673583 0.0270546650764461 0.000869562576457057 0.00332615437437273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338588836343566 0.0401167153909982 0.00142122669287257 0.00802125270892643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0531152547559708 0.0608526617558187 0.00317399542120558 0.018349581974499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0115354029565402 0.0134904932677831 0.000584195229917692 0.000379117938504998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0179375268581236 0.0255305928723949 0.00164130421797665 0.000930693778653428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0357410197019096 0.0522814346711597 0.00683421438568759 0.00434412171756883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0610056968561325 0.0875508056965247 0.0204732650948039 0.0134787150933602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0187510208857512 0.0216095997682596 0.000801601500124668 0.00187607800422831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0105186145911126 0.0136917195067795 0.000427392186894176 0.000383747528595196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0150305884814399 0.0210671027690208 0.00107098773902802 0.000516483439205331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0226897267452496 0.0324314956895358 0.00240017321306378 0.00082757650539254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0225197870934352 0.0264975962942336 0.00133973444343799 0.00279906292261305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0212214777780769 0.0271323291216853 0.000875975349788356 0.00333557987944301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338835630639994 0.0401112366485662 0.001418633676568 0.00801217432475765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0531627623785158 0.0608232901178441 0.00317299557811497 0.0183243281411492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0126222808273411 0.0148152942308266 0.000669167343000132 0.000450088265675951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0180082621541087 0.0256485239424004 0.00165132751509538 0.000939204867391504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0357691007789553 0.0523170507741602 0.00684091472612084 0.00433249602736147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0610366594553576 0.0875285035427158 0.0204723390716804 0.0133731411475666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0264493160110544 0.0287072745966236 0.00169679380651405 0.00296578181604983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0129332606710589 0.0157858024509091 0.000605730225220033 0.000515235504398328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0156756793800004 0.0215537872565623 0.00113837659189063 0.000554666911229332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0228604206344624 0.0325706010068327 0.00242843393285688 0.000844365155582254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0259135902924905 0.0289084502909876 0.00171593805451521 0.00318567796206108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.021695561722565 0.0273807389420976 0.000905716614501385 0.00337876946384863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0339810238580855 0.0401477257605301 0.00142285237646355 0.00801669452107649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0532164541380665 0.0608138731172014 0.00317599587053697 0.0183091156187658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0155347924193702 0.0178415248229005 0.000941259272493902 0.000662342778476016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0183258050869853 0.0258987723763327 0.00168830767675812 0.000958818099792658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358485289975976 0.0523702111733491 0.00685913071558773 0.00432576361000821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0610813134290464 0.0875239798261473 0.0204807657379499 0.0132762871365509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0446293088566759 0.0459767314077474 0.00536911652929809 0.00694671438588462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0192922173654702 0.0218787002968895 0.00126742395584952 0.00105618372207271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0178799095840806 0.0233604555777789 0.00139305291061179 0.000704378500272078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0235255341460126 0.0331557884953807 0.00254059887324987 0.000908767584745842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.035387495697571 0.0368707861081112 0.00320456857669267 0.00477157139042618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0233455042828759 0.0285240430489636 0.00103476890985404 0.00357940148817843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0343422744887122 0.0404175214763363 0.00145150296860818 0.00807688484575271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0533463384736645 0.060862724418571 0.00319395780208951 0.0183105161624279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0238785986306144 0.0260668294985064 0.00201327749676587 0.00153177305988251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.01943277145165 0.026817825055901 0.00182588219811756 0.00103200670151599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0361557443179652 0.0525343344087787 0.00692941391657153 0.00432680782561186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0612152008344854 0.0875526086538556 0.020526551091882 0.0131077923276146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.125022490492157 0.123454660919579 0.0472166760177909 0.0455166094749103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0505241181552051 0.0521770386144843 0.0080214089481491 0.00706541911246776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0312631424672715 0.0362787163681703 0.00370691254962105 0.00239689208302824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.029323007009979 0.037896625731208 0.00365337853325201 0.00159357100413944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0831975634523351 0.083395121837263 0.019556035431406 0.0214278514164757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0343275408829718 0.0383323872569357 0.00251973375060649 0.00571519187528202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0376950194365811 0.0433232550005445 0.00184169651761086 0.00889773708869573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.054595498477074 0.0618372092811494 0.00342873703473842 0.0187172736909326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0646035990961061 0.0665988451455493 0.0132959567726846 0.0113279192516506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0270137935594653 0.034300037037199 0.00306023997703191 0.0018139653973717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0383715556534336 0.0542990142740065 0.00752816952613617 0.00452164494362628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0624156510216219 0.0882278300739004 0.0211227020760381 0.0127483534096062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.205381398473057 0.204173013944988 0.13407173275843 0.117881640781192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.083111990133902 0.0844443675031053 0.0213188928876778 0.0192213501135177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0478994988396794 0.0526058625384332 0.00804401233029812 0.00600833947832488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.037556207119855 0.0456155463404546 0.00564845411834823 0.00303578892277835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.133697563413262 0.134621075899971 0.0532403252407322 0.053806369920349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0482733289076438 0.0516795985165601 0.0056703140512163 0.00976303143307813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.042720324081736 0.0484588128664316 0.00268933300232021 0.0105995799183479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0567511423718302 0.0639551980007258 0.00392472580232899 0.0197608619680576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107146181954897 0.109494253235761 0.0362850911102523 0.0313575968408416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.037419473829921 0.0447512776506433 0.00537048656974616 0.00345473035181927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0419107363565814 0.0575613306902807 0.00863510121107154 0.00502552131726734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0644863566805688 0.0898350282138233 0.0223975315713403 0.0128777691095533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.036689759728594 0.0408118236634158 0.00337318397907546 0.00595739553953536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0163312550221186 0.0199021731989959 0.000930224440016584 0.000909216074750276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0167423370888855 0.0230206743458233 0.00125818766822082 0.000660796764690202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0232947013525492 0.0332454510747057 0.00249214906028793 0.000898938656257076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0298148729857361 0.0350885787330832 0.00234414493274888 0.00445707647689426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0220924825139703 0.0282265529309799 0.000936263260607411 0.00354605297272083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0339603225687213 0.0404309164674732 0.00141384127555388 0.00811937645696456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.053089905243093 0.0610031673696473 0.00316628656224071 0.0184238708294775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0213465508514599 0.0234145317359237 0.00164085913917059 0.00126108273035856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0190237907043507 0.0263144737580095 0.00178245575315473 0.00104108506725602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0357758410803953 0.0521874144902855 0.00681129527731505 0.00443922575561585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0609630976992144 0.0873584794774351 0.0203995714580286 0.0135004799583697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0662506621422648 0.0758391453416812 0.0121334137081501 0.019153133209426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0279663857655993 0.0325391712216413 0.00255189031818666 0.00275547171710909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.020885497406699 0.0277840163272463 0.00183206433714052 0.00116788825794953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.024817082552459 0.0351104428143475 0.00276525788479782 0.00112211091265301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0470225917223471 0.0531202461088506 0.0060495806427221 0.00961363177422526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0248198386737709 0.0316483460282435 0.00121523066549184 0.00422910157370941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0346016575679835 0.0415809695699285 0.00147746609268615 0.00844822405371206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0532327903402914 0.061631610090955 0.00320960896124245 0.0186791296432089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0366744132529973 0.0399120509636481 0.00448779955624895 0.00404763617205344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0216131845313671 0.028778499858813 0.00215734774291918 0.0012977048292854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0361826105707403 0.052495001145986 0.00688957706414889 0.00458968275231947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0611021596686951 0.0873652526073124 0.0204283769285554 0.0135843313712416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.127692345138761 0.149689896910169 0.0480647420003215 0.0708177476849654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0529585400422772 0.0605089101643512 0.00881705707608493 0.0104792653184223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0326843419984388 0.0408138490147833 0.00401991239909358 0.00336936626822478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0297853206848492 0.0408452059363884 0.00379293104481737 0.00204237217244378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0863135047141577 0.0955417877332689 0.0216563331340821 0.0299671410992874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0338727231533679 0.0415752112479591 0.00250920004825027 0.00679229834223327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0368982569493454 0.0455710842922601 0.00182638066603232 0.00971017561448861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0539613158296195 0.063738056175101 0.00345281859207722 0.019620744367884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0691870806447931 0.0757267951721696 0.0154795991832294 0.0155390672793913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0288674551761234 0.0359169388075751 0.00350293610914045 0.0022943830757282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0377912664810307 0.0542145631082069 0.00731044995108769 0.00506584171655821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0618124532156271 0.0878495865222627 0.020782740808812 0.0139601442067619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.381465146119556 0.439392664068186 0.49172683498258 0.526280241480922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154257082751341 0.176831780425461 0.0737054390977911 0.0940625047874977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0874777006073906 0.101720040403463 0.0250707530012216 0.0292130244766776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0615623793687958 0.0753273063187485 0.0137600234333625 0.0132216256376209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.255656608892076 0.278868649053031 0.214915873930486 0.242804447910121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0831386179371931 0.096452193038488 0.0200293669037584 0.0339666217033846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0574292403463543 0.0723535262674988 0.00692587276355591 0.0224918495314963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0639785363075298 0.0787305608400763 0.00679558310903923 0.0288935770413603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.204958008519233 0.228530937480426 0.140405298640654 0.141794793455394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0696101133233852 0.0777843662188049 0.0179793367105855 0.0143775949063569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0527686119584636 0.0712868609770069 0.0130619390178581 0.0101243084570838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.071264592090384 0.0992903344901665 0.0311649977855946 0.0253309096334212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.646260672528536 0.7148955110009 1.57478748476241 1.26794555798078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.258149410559324 0.287150010134914 0.210106406624551 0.238639151037454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.144195809536884 0.164373000152128 0.0659804731552304 0.0818161629553537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0982986344290023 0.115156665640566 0.0330597386755231 0.0392051779797749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.443929467296774 0.475667576281319 0.741377932649494 0.725144356445537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.14261227328016 0.159921532997077 0.0699333080779749 0.0923259561003924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0878858606215349 0.109770448906024 0.0211436161603262 0.0515189138231923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0830688830623027 0.10504959472828 0.0150472001544461 0.051535286023219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.35248870276596 0.398027336274232 0.453809572201555 0.416499561570358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119724299743015 0.134148134934216 0.056694742996311 0.0494295332114265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0789776839364157 0.102828013261573 0.0321594295055991 0.0301539742105498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0902766371770893 0.130696098890745 0.0563965437435657 0.0969199266443618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0104188284636934 0.00524904575789775 0.000339043299726803 0.000126541254606835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00992843224423656 0.00211562451899426 0.000462787235654897 1.20703640743402E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0192175401133567 0.00256966832899894 0.00177686467745141 9.78941936604556E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0319626969281245 0.00388955241279024 0.00476494935594698 1.57556848706327E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0170674086677846 0.0058911323261863 0.000913702069830335 0.00012753452816153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0198187339270633 0.0062618292701713 0.00107013340836152 0.000172090621165836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.023210203316562 0.0108058681576424 0.00138102119194944 0.000499799791491504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0282014102244979 0.0161375713561766 0.00201982194912367 0.00105873131221242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00853931209119643 0.00364427769593192 0.000331687706022907 2.98830119216028E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0186066493350928 0.00371688019459548 0.00160718720639062 1.17762412948967E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393469642224083 0.00660696294644791 0.00718335318428363 2.7965397182294E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0657221141644978 0.0102674344352736 0.0199541322984635 6.2136982101673E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0149869636681413 0.00969212917616823 0.000599437663463892 0.000314739215556988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0109088124986284 0.0037778836192627 0.000524742481269557 3.62045038470288E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0193988438130438 0.00311435154545425 0.00179772112019243 1.55357501305841E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.032015646307811 0.00400487089039055 0.00477319246595093 1.78234480506864E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0187109979028076 0.00767288751753571 0.00104787037788558 0.000197046731155316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0198488282461947 0.00639383242905592 0.00107691494237266 0.000177820263510446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0232775425213472 0.0108139493143142 0.00138420367073314 0.000500462786779912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0282080338973741 0.016139836745358 0.00201817509598392 0.00105823935950657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0101693080865656 0.00547632097592371 0.000415604669489347 6.79217655392514E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0186964675635098 0.00384400679406731 0.00161642685990387 1.35136972415368E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393066613141127 0.00662404829103996 0.00717382994799618 2.82990395273708E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0657035766507402 0.0102679100097936 0.0199455102820793 6.20763230856101E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0231686246005661 0.016450939902553 0.00140562227704917 0.000795859386669155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0131460581845047 0.00649311813802934 0.000699533982247837 0.000104885990484724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0198311753108987 0.00423977744513951 0.00185716986396673 3.2323845950698E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0321754347614786 0.00439569658419939 0.00480366536553191 2.37590384015329E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0223600220055029 0.0114056268683073 0.00141993150126634 0.000393320639137654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0200735153620207 0.00682301550553652 0.0011050297315518 0.000196713031702575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0233764847921908 0.0108404784385123 0.00139275044151746 0.000503344984241135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0282225616385643 0.0161456154880905 0.00201901370464667 0.00105856422537115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0136294981071193 0.00879567300822633 0.000666768112698186 0.000182080403936374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0189102859465028 0.00421789323309188 0.00164415901277798 1.94913048403233E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393126554651719 0.00667066091061714 0.00717544429443586 2.95516238382959E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0656943629075295 0.0102758215328942 0.0199434394360677 6.23299612488955E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0418556979090991 0.031066917783807 0.00482031741036959 0.0025641992613809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0192549392476677 0.0122924337243951 0.00134916493748875 0.000372730418765856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0214207492388797 0.00707413154795313 0.00209289440838228 0.000102667301371922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0326564911274204 0.00562722280331981 0.00491129938764797 4.81963731832835E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0323189436068905 0.020126816599 0.00290664563904352 0.00111852121977922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0211045585127099 0.00835872797669437 0.00122653740882002 0.000271388515398591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0236838412898954 0.0110164181339453 0.00142654594976226 0.000518619311435261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0283176259654072 0.0161787888931583 0.00203008975337686 0.00106231362234675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0225787598315514 0.0161536507513009 0.00165434309004826 0.000635378850974783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0196164706079128 0.00557473031130233 0.00174909251982472 4.60840216123919E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0394131511536109 0.00688092100721143 0.00720427935661332 3.48784234542922E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0657115628334905 0.0103070161153301 0.0199610290567364 6.37823982645389E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.122483010945087 0.0896854107784186 0.0458769732913366 0.0194503555067314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0505756232141953 0.0357661196829445 0.0081131264305532 0.0030687980523019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0339329156070821 0.0195358231007985 0.00448700255915826 0.000878053491873503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.036732865040004 0.0127412230634012 0.00597010285656218 0.000338406554674565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0816254558138696 0.0567595748548022 0.0200934596213446 0.00797849457891634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0308828440935013 0.0176552033126428 0.00262384306788879 0.000973939253637609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0263955180402423 0.0130510463004703 0.00179390001985609 0.000695381369942245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0294980066543506 0.0166245153706292 0.00220001106202876 0.00111653776515608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0633986779795861 0.0462628854460603 0.0125607931507761 0.00516542422635868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0264876350418169 0.0133135525185722 0.00291929384603341 0.000374180175431201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0405330290526508 0.00898813639956477 0.00758586157161191 9.77302955745397E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0662003927975041 0.0107807462014365 0.0202807674737474 8.24940696969173E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.204245324126287 0.148330383816981 0.134745302396915 0.0514318646230121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0837144519423039 0.0590786106755296 0.0218693058893993 0.00820233060965203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.050741935809695 0.0321898941512289 0.00911287680346386 0.00241533549348308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0440499404125233 0.0205622015776991 0.00810645240614995 0.000946726024293304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134112671630158 0.0939305969537681 0.0571130832712992 0.0209826290252574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0444176176500735 0.0283151455835574 0.0055567201626287 0.00227497682484976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0313761577377681 0.0167600538423372 0.00256975022412856 0.00105605883914828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0316117629939205 0.0177996992243281 0.00256487745400288 0.00125600126187698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.105723272191905 0.0762436590105884 0.0358793201473884 0.0137248729910274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0370040633399277 0.0216295405948491 0.00529350938864224 0.00105242013853014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0428782522878163 0.0122374262557491 0.00845994801587116 0.00023766183550953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0675225369218558 0.0117368674209005 0.021148460379049 0.000123696016582462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0375570279057164 0.027121096309537 0.0038404502120205 0.00210125961610979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0179266152646114 0.0107042604603935 0.00118633852936209 0.000305176879260504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0212099821554433 0.00622627145156951 0.00204637486116781 8.39839096493125E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0324188456135631 0.0053044592996992 0.00486774345259997 4.19989794454384E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0280077722897621 0.0181316574768695 0.00218020335773509 0.000966361151010186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0210020518782708 0.00795530611230912 0.00120867889525618 0.000257816986710983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0235660236144469 0.0109889504206778 0.00142118679677064 0.000514347678358967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0282891338785108 0.0162026684783372 0.00204072609835687 0.00106218735817852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0206353275408375 0.0147835743554153 0.00143192614962703 0.000547511252657348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0192784452577139 0.00520307361826359 0.00171086709869568 3.79276665092881E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393212767686152 0.00681917503347829 0.00718132032792465 3.34763257488917E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.065573385381003 0.0102879341255293 0.0198821083458846 6.39986354780276E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0711086677357824 0.0533050362650164 0.0150723427527919 0.00748124904729696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.030538038375793 0.0209947696609516 0.00315912821727943 0.00115862037763151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.025603652671105 0.0115378745982101 0.00277731112821295 0.000321016556198584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0339014421236959 0.00812115255253141 0.00521912441853397 0.000127776629428609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0466286201146565 0.0344780707096402 0.00626039559352023 0.0033222084586492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0239686556167628 0.011603348753524 0.0016011635030858 0.000489482280589574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0244513992664947 0.0115702417763173 0.0015349260904451 0.000564390838657858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0286079191983188 0.0163638106373825 0.0021014889345545 0.00107944022111328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0380322829513999 0.0286977903842407 0.00462733653334182 0.00208307805878436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0214101756795647 0.0081855456856449 0.00204781868078888 0.000125597616953527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0396839368135679 0.00748617123343173 0.00729510912226396 5.10404471218355E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0656467031658246 0.0104335421242436 0.0199391085241432 6.99691416730544E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.139743037995989 0.106522012261265 0.0634231218231925 0.0280128120901975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.05769413014633 0.0415775609618644 0.0108851358889712 0.00442432177489109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0378706411083067 0.0225650047701372 0.00548585178130734 0.00127189190850244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0388322649527094 0.014657590754611 0.00651243214611088 0.000490947789321151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0884561875247487 0.0677542766588496 0.0240324361881477 0.0122234804709175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0332091351726425 0.0202478074199823 0.00318400921037198 0.0013168388933571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0272267432068433 0.0139076673842436 0.00195666199220138 0.00077285878849035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0299792250080945 0.0170990719189229 0.00233070445170983 0.00116156907376185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0750067285079344 0.0566651256366386 0.0178342968405659 0.0080096032760107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0285641176063403 0.0150806922800327 0.00336755886285827 0.000503181544591089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0409931583158661 0.00973788708090382 0.00773369255087175 0.000126737404473867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0660211285926013 0.0110309927874893 0.0201854120840228 9.38916992241648E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.410151264616047 0.32438088719119 0.62478152932311 0.239161536244483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.167782078902402 0.123986137388132 0.0949820772280759 0.0375114453912181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0965326483559928 0.0668195453157048 0.0320949584957506 0.0111354652674795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0704863746409295 0.0423732006210583 0.0187202267801471 0.0044599292794122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.266107064122984 0.202297896493177 0.24651785734399 0.102384273815687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0823047697358505 0.0572971846112631 0.0219047742820406 0.00932987603365758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0485640965085484 0.0297608947950211 0.00675045943558451 0.00292779393314739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0413702102997089 0.0240724429201639 0.00473255308702478 0.00211146634533354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.227257065947824 0.168764017955409 0.174869018570559 0.0682759212475456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0691046503577173 0.043717628919806 0.0173836708956195 0.00460114539297316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0542210319066485 0.0221633468598462 0.0130164766633319 0.00104087142324587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0726068666360294 0.0162076874671183 0.0245424353846799 0.000374119101523179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.666611973989847 0.556761400576918 1.77604327235994 0.670057551033767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.275357346070223 0.206290177489234 0.262672453572707 0.10195134506508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155841847875812 0.110671296497127 0.0819514990827367 0.0304164278930111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.107508497738407 0.0700694572670093 0.0405091919075836 0.0124014156793566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.446601674570482 0.349456697758714 0.761576583650107 0.301395348651409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.139696413519147 0.0977211431012685 0.0665003996446696 0.0267965614943626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0761004682228773 0.0487716902806951 0.0174414615671591 0.00771832749633087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.058767019335729 0.0347914795974829 0.0100370313701816 0.00427355986529894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.385729886076953 0.287678904611655 0.534016203238115 0.192677355557371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.116581330063257 0.0732931296756576 0.0502543610630443 0.0128549394032278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0770974728096806 0.0361877969964731 0.0264625423236599 0.0029964197186283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0876733889511204 0.0236769716942012 0.0377688047421952 0.00101321150441754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0205105954011487 0.01024191024696 0.000915401305161104 0.000481136143681926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0113701229499191 0.00721306150788994 0.000445993170196537 0.000189205230129076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0130954918969399 0.00781240121419021 0.000756616815210856 0.000231255009337478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0174849289897964 0.010259295565602 0.00141003876545659 0.000445695383427744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0227033829691752 0.0128270896430732 0.00157890343639829 0.000461807706309117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0272041372891603 0.0192042142968436 0.00254887185186362 0.00078440728397579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0309730359600938 0.025978994544877 0.00303854387594668 0.0010782370389872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.040556920611389 0.0376406050483 0.00511542868172369 0.00202541577761086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0116519436303949 0.00590519467484539 0.000478904831537936 0.000144248068221017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0124955530633786 0.00713538350448868 0.000747552658953552 0.000230842855569096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0271507426375684 0.0146734656569266 0.00357964875093161 0.000986276052778664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0477500302701628 0.0236040238898283 0.0108152584845758 0.00252166740267855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0325125942042184 0.0172738899718221 0.00312820259952758 0.00123569504074341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0144805210098861 0.00868365874005132 0.000737364416571511 0.000267970084951486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0140458599705992 0.00826199687774976 0.000856979735258637 0.000252312918653873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0178373956868429 0.0103462867365353 0.00145137501688969 0.000451004237402884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0300150338240226 0.0163573119322167 0.00320077726132539 0.00083594381748987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0284266653374836 0.0195925178002456 0.00274706885467653 0.000845362050335793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0311365302658107 0.0260703973859092 0.00308149396071054 0.00108731033364301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.040715566458391 0.0376559274736419 0.00514648960132732 0.00202405590463446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0193047887871082 0.0101634947450263 0.00136078832528084 0.000591280229252688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0133547191359078 0.00751388389731375 0.000834828969681794 0.000248923434978391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0273277552372159 0.0147003169606143 0.00361525058156738 0.000989342182247481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0477574262529925 0.0235947969225559 0.0108177602237564 0.00251886558293906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0494915920472356 0.0285158128218502 0.00976100382032954 0.00332889000932467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0197672599573525 0.0113601140195856 0.00154253661325439 0.000466737420019642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0159976750767295 0.00926675042904621 0.00110722915435268 0.00030582345325493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0185332206297483 0.0107210557951231 0.00154823622978869 0.000472717357437654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0412176851106645 0.022093432498573 0.0075382775677993 0.00179809156845921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0306528838638457 0.0204486197916982 0.00325946679153489 0.000955258902398323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.031686608023424 0.0262779802041914 0.00320411876546492 0.00111799439647246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0409970662926023 0.0377266193540495 0.00521489605611465 0.00204051936465228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0295923767113124 0.0179338080741175 0.00344031993281194 0.00263503686152985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0151094013606417 0.00835099435996789 0.00104484734873303 0.000300280717313188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0277552026421243 0.0148446117814343 0.00370299203353167 0.00100606568405247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0478820100833743 0.0236052029003575 0.0108659947387732 0.00252209428518099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0850709771360566 0.0552757460457789 0.0368855172302378 0.0130975509317864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.031808839127658 0.0178250183111965 0.00457033278209094 0.00119137229196627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0210708682304771 0.0118393901837344 0.00199180768694342 0.000491990227536631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0207452481967258 0.0118084623470935 0.00189346079482834 0.000549721778211695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0672011997798042 0.0362753653103214 0.0244050933477696 0.00554484937069503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0367145361529463 0.0230756938087518 0.00521543774515969 0.00132974222355767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0335052018043747 0.0272813823268949 0.00366713266672309 0.00125937622944259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0418150313246848 0.0381513196959469 0.0054534067708989 0.00213265335501256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0524942945625174 0.0354435424788878 0.012105309229033 0.0120085727564328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.019729712385403 0.010541262591367 0.00179804601837895 0.000479265150427326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0294349557401229 0.0154031437989429 0.00414419112552921 0.00106213294838337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0485502982582858 0.0237222964387949 0.0111144747538759 0.00255037948812932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.236117136227438 0.185496159646836 0.344830090986365 0.143980591609943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0812616611503623 0.0498134811518076 0.0346091031172992 0.0101020532756103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0447733244158493 0.0257028672664473 0.00961050252864481 0.00262371506107995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0327320343095343 0.0191680744207887 0.00445018396273331 0.00148029786398616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.176894057613905 0.110115266911335 0.210340955831821 0.0549343395537235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0680903316338589 0.0411731799963046 0.0259069387606007 0.00565246557646359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0468798570331896 0.0354418024873549 0.00846028463330818 0.00297910616179983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0486830737570927 0.0437808721058834 0.00786577640798652 0.00335502064257867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.148412159757234 0.116052741538169 0.117872280426155 0.10873216139385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0440467839010863 0.0216088329239574 0.0106578378925107 0.00202932861160724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0388275641419418 0.0196501747791352 0.00743111610497074 0.00172937784113493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0550420269462167 0.0257224183665991 0.0142869811345042 0.00299352826499454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.391446161035777 0.338538834550231 1.00464659326833 0.524980024118934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130678278771561 0.0922521669060934 0.0967727774017336 0.0405080773110195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0689276722529656 0.0454675275632114 0.0228813723175013 0.012230119448389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0468599528435807 0.0317996738028831 0.00865740825377569 0.00636583407729625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.29269863603932 0.204201155033416 0.721423738182736 0.215861953365505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10288567243578 0.0686185495840818 0.0745936710519576 0.0226393597761513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0631193162199776 0.0494854982861017 0.018481969661297 0.00879857421631746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0580938221161428 0.0529047767343872 0.0122924851981581 0.00642242987080453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.252813127975129 0.210395206404431 0.406198000077994 0.301570399785105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0772798001617449 0.0353022372904289 0.0418853444300122 0.00545292324062212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0568014623212573 0.0246735440747408 0.0220539727786764 0.00293775800621572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0697295778160319 0.0297360252341634 0.0271644777485308 0.00421466127585889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0872247477391584 0.056158766072228 0.0501941022100364 0.0265631638999887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0303451645767267 0.0167512771788982 0.00495370681357711 0.00144143950714695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0200816232607736 0.0113391445635084 0.00180349403445103 0.000545896672037984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0203651334717243 0.0117562615629072 0.00178776922732813 0.000559572613190945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0657082284692248 0.0383884922212725 0.0302683275201082 0.0103359604157384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0361976784732715 0.0235241727753239 0.00547502425221272 0.00157993769923696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0336374326041574 0.0276830838204113 0.00362158018365454 0.0014163091396088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0418894914263769 0.0387598122667037 0.0053892130873561 0.00225604064219633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0648463246380191 0.0337950876496639 0.0595390758043087 0.00861963724200514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0206967554374148 0.0103530215897589 0.00205969880230618 0.000502086084981657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0289221518370254 0.015541429877086 0.0039991309258669 0.00110367336746953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0491439418010317 0.0238582691686896 0.0113781803139507 0.00255195609296129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.163758389363839 0.12010012437045 0.211992501779259 0.115732181410577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.05405755010196 0.0316988945388218 0.0187843379282298 0.00603776609368757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0303403669975984 0.0166430854314642 0.00463198804555754 0.0014899980694721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0253877444081437 0.0144919258151948 0.00277365585948708 0.000916673170589526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.119359425527965 0.0759036384841936 0.121336199440268 0.0433972471344332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0501762093280079 0.0316536471763591 0.0154842090447318 0.00367676913112966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0389845944472757 0.0308629012173601 0.00580769148557699 0.00197259950837809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0450857279770422 0.0412594872519106 0.00643562454172814 0.00285069330791374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.127141590328888 0.0707154559348422 0.239362934636202 0.0372958698829982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0323661002036272 0.0155247006999534 0.00560780006478589 0.00124836814579284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0330004850839097 0.0170882478243566 0.00535869281772601 0.00138133832021633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0521835203770401 0.0246370486752439 0.0129483414774852 0.00272623819161866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.315972969031939 0.258810088123136 0.853458489517857 0.483934458625577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0992668505685177 0.0687605635835217 0.0698854383022236 0.0307036209612801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0521282129197756 0.032510536142387 0.0139209693334258 0.00713938408499046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.037443660288054 0.0225266745916646 0.00604068335248373 0.00310780699791777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.231778218379058 0.163019722435494 0.518047886411555 0.185588821521538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0833157944538515 0.0562569221312695 0.0591840134090181 0.0174238973245706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0530345422182365 0.0417158382549061 0.0146210070412624 0.00510466585538265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0534304160670869 0.0483392093355779 0.0108766115855103 0.00478808024356562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.253332479667752 0.158365144072431 0.968400024302347 0.156692542019634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0596488742311283 0.0281432908594446 0.0221497294460544 0.00425639623248709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0475356809298886 0.0216167382780583 0.0143966823209149 0.00232747730373389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0656803320075734 0.0398061748459327 0.0357341532053903 0.157212400442073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.988042934186394 0.922220644140653 12.3984074535488 6.75177436437999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.300016836603596 0.340280123098673 1.10367763020505 1.58190190499987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155925986263594 0.2091432599059 0.486905263351578 0.950104164545068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.105881576113219 0.163313510603272 0.26890227052344 0.769026548691173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.886623117336758 1.60352880236688 16.9776233463333 637.162366031593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.26716108828077 0.849398447333076 2.23818628149362 145.14318157439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128926327062304 0.364818254545883 0.306608573777755 16.6554557016901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0905504666373359 0.213261024484404 0.04611671628324 2.73126314797462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.79881528815222 8.83607689094023 2156.83079598445 16414.1035300332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.635687113700616 1.9516724684132 44.5844212028365 1383.82412426097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.688099710691409 0.191167861160343 108.301407144641 3.61189287170597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.25104627017473 0.370756312497093 3.6078025116051 23.2998759155147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.59567016700752 1.50369097238423 32.631894045837 12.227044791896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.514203949022558 0.614689272709501 4.29237250905742 4.17504551246774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.289915597884188 0.404947555576306 1.84533017822518 2.4876849273607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206097087930351 0.310407092335877 1.021098909498 1.56200541382124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.63533146802595 2.1273005169915 53.3454522338562 229.969835332047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.64722390675381 0.657703532741137 17.044261840559 14.511152163193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.352517023420075 0.392623178428071 6.56366375444981 2.76352981290986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.21677762036026 0.28285042830954 1.81487110047333 1.08438111886536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.25659943057645 4.14513150303214 201.350179262481 5466.47446770776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 21.8714155832535 2.33780606430271 345787.503953083 887.409010020772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.875247129106612 0.779278374827538 118.994925277369 37.3912188250623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.605438826799913 0.411403830892582 15.8540748686953 13.3004658049763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0393086501579854 0.035542215963183 0.00433322583814144 0.00711428812969609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0168924595161688 0.0200170214289187 0.000993241734168294 0.00125677491838742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0187336415562588 0.0268495360922242 0.00158169612916304 0.00139156001796476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0261494897774814 0.0377443615646484 0.00323871873612165 0.00163496304928163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0370745265447202 0.0385750953917356 0.00473329530228279 0.00543239805482659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0350735169241742 0.0467309125885633 0.00370903090653618 0.00865008476174308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0431523841992504 0.0519891551350248 0.0043180445734806 0.0114638093213378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0573798265492799 0.0623337748562821 0.0072178164741154 0.0169291844690046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0260444234751078 0.0236515938353338 0.00313999185363976 0.00203565259408944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0189505031397007 0.0290876539201402 0.00188462785856588 0.001634529472869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0375080280008913 0.0608377316727278 0.00765969681342096 0.00721207661523991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0632835928381484 0.105331850250342 0.0250057749076668 0.0342677297612061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0485345068148791 0.0459336843029409 0.00653082231678453 0.0102485611408055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0195876560465481 0.0222358353911375 0.00128881055827263 0.00149165729171988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0195267361588078 0.0277542364416533 0.00167546908095463 0.00145182128143929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0263225883734419 0.0380757207150151 0.00327452995006982 0.00165909636534168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0435666086211502 0.0429450804421984 0.00659320630731809 0.00675048320993625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.036279694064137 0.0468582500731113 0.00400480122457815 0.00872965694906213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0436788416103985 0.0517355259542989 0.00439129215516522 0.011362981223621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0575642129452569 0.0620273891276917 0.00723912382960345 0.0167819187173631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0324324599257211 0.0288446818661212 0.0050182950651242 0.00329283400966537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0196527057307185 0.0294436304697903 0.0020019518227293 0.00169258557161581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0378697574283884 0.0608519578342344 0.00778366040274469 0.00726336062838355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.063550865806218 0.105237291157847 0.0254547468387725 0.0349886091800161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0639204669925988 0.0623810270413452 0.0133762551854737 0.0191782571308641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0241811772294186 0.0264945394665526 0.00199675562613552 0.00224654604611433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0211159647512687 0.0293096704071503 0.00190993554537801 0.00162818373566837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0268121695009992 0.03879750284744 0.00337521139070945 0.00172654905313881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0534051302531523 0.0525533493165955 0.0106346817201269 0.0108815569477829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0391422405888508 0.0484010570442577 0.00474346167138458 0.00930811527756572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0444929535161753 0.0520299236917751 0.00459945655673535 0.0114574561027332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0579388221307644 0.0620507308605374 0.00735252526473944 0.0167864589173984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.04231571926838 0.0380876979585587 0.00908257120510739 0.00756130314158618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0211001962518991 0.0304928236652106 0.00227049934938236 0.00183595868738831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0384119239029182 0.0610519155975343 0.00798585374814874 0.00735265959127827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0639592419292048 0.105335463927038 0.0260740676722394 0.0359508008587546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0993166478598681 0.103630751671808 0.0422970292198731 0.0565028282621058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0347976211902143 0.0375517724978466 0.00454596278796165 0.00552045408945158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.025595011160676 0.0335923098791266 0.00270746553104057 0.00232416593428477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0286936554054462 0.0406261881484008 0.00375956619913975 0.00197758189271992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0755748247731194 0.07744897898465 0.0243582487761209 0.0281445926054069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0460802293642704 0.0531501952148904 0.00723803659273973 0.0117200399179172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0477791031507335 0.0540685374231831 0.005465571051329 0.012233399351221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0596731014012527 0.0632630286776468 0.00787739944933583 0.0172908298122119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0643572057579996 0.0617055616466001 0.023205956217551 0.0266169020475397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0251347104190011 0.0339948844194658 0.0032700332395826 0.00245371698186691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0401312779564968 0.0620246905113956 0.00866932414213097 0.00763179096535686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0653503213176831 0.10638008080232 0.0280047774092374 0.0388104612766778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.282738290810496 0.303855896231318 0.787855961559895 0.850750018850198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0906705414250132 0.0934880237575826 0.0553655913816419 0.0454612058053939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0539789544006853 0.0577683471970646 0.0206930947095139 0.0117642663953139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0439955939454566 0.0539385005978523 0.0133417552876104 0.00737448561301646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.192975333958666 0.208057335495362 0.29868987801 0.485217468378293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0873824447432692 0.0910118929813464 0.0638469724258376 0.104537866466563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0671964673769385 0.0701828377049022 0.017990548392834 0.0273738081943216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0726444410202954 0.0749307771785742 0.0132634310781799 0.0249417987211548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.167982213981654 0.192632748839962 0.209299468277737 0.426510077296575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0538365149782373 0.0692676584611477 0.0314080825047346 0.067142767045592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0554230490281582 0.0843125285991934 0.0231618903882875 0.0724917898001688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0803874233522977 0.116645303109373 0.0603969206126857 0.0638209475963101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22812250610081 0.616265198626042 502.143250593628 18.966165246309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.661129581545991 0.204110699707636 212.021234386794 1.58550449448725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.352382813711525 0.0935698558523531 57.9349289995595 0.06146659987943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171895466513935 0.0725053272874737 9.49931256115224 0.0217237436034252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.67519266545003 0.438961651539067 1319.71527766714 6.81196900521645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.277143918594781 0.141723749665903 10.1092057698433 0.358558223600841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.151020106665697 0.0981684488936151 2.72040424321364 0.10946684904079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.100091593763254 0.0947779671213921 0.134081911475211 0.0500026125100853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.5349561628944 4.17815280358458 632.921690660814 11823.0894683211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.341035859304661 0.703165988180993 37.5984160703081 152.715106301423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.356749141020697 4.82107497174267 23.2192702889146 18012.6938040694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.165588570644145 0.171378800965015 1.48904295935057 0.708133658888608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.091276257757666 0.0882250136080438 0.0334424708622843 0.0418806423510536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0339194304183226 0.0318494295214956 0.00486334301931058 0.00369111369887209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0259303703336903 0.0315909517243012 0.00289957688309576 0.00199639820315553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0296307749544482 0.0396823997717896 0.00401917587028807 0.00186143336204592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0683176253673856 0.0633852090599281 0.0200000636744144 0.0200803066245615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0426576816265617 0.0496044421233797 0.00571129786640285 0.00971470930519708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0461906991944294 0.0524271433906547 0.00505857126589072 0.0115545983222724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.05897533305526 0.0623886371102516 0.00774081341443171 0.0166645459146651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0573035806283804 0.058223109471504 0.0174701971235111 0.0332614361903562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0235605119961223 0.0318977106752435 0.00285453462358703 0.00186685022371977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0391460312444412 0.0610912562936455 0.00814326839369017 0.00722631637261311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0630201447226776 0.103541838964032 0.0232928744112292 0.0283123010602501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.148936086694052 0.165640477507034 0.11250676077497 0.15882414704008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0561758055678898 0.0515616067541436 0.0149671433391368 0.0115696518710326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0364771870218229 0.0405275247350917 0.00608827141081522 0.00416988393130551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0352333945786629 0.0441277108583118 0.00565979644773114 0.00281913389482627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.110356921622794 0.104791463711972 0.0651845941559035 0.0656290172950312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0557027550366896 0.056866948350231 0.0118647382355455 0.0124376456266511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0525333241576453 0.0555411497311936 0.00733017683492615 0.0131654338881912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0625389181256426 0.0640020891893629 0.0093444378090238 0.0174971052315611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.09929136431557 0.105334462390624 0.0601221582295652 0.123789974317721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0312743465807908 0.0374521350009574 0.00540621409755903 0.00272164526818691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.042786711877382 0.0631513252874814 0.00964103911208599 0.00760184877188537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.064444825028407 0.103447405176662 0.0234600475072397 0.0250800350838462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.279559837263707 0.336752430035718 0.491536270599827 0.69393389263722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.100876928047908 0.0992374005249237 0.0518639121099443 0.04848008180958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0599484059449574 0.0619935948673897 0.0174628248928899 0.0131044087619129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0491658755581797 0.0560242593525328 0.0119240322937086 0.00700573517716752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.205198281463075 0.206572771117389 0.28737805556442 0.271335393480181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0873382501541251 0.0800865264206206 0.0441385793669786 0.0251309232737047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0696722351283687 0.0651570730462927 0.0178538291346667 0.0183813069907614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.07295762925082 0.0705331414027758 0.0154193066868417 0.0213694654115974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.193728975927034 0.210433500176423 0.260956959388992 0.532667860969399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0521664034928777 0.0538201314534477 0.0181321020448501 0.00707305884871049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0546014971723535 0.0719464233405977 0.0183487081350026 0.0105641995794315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0731115341285223 0.107284464644627 0.0335016923513027 0.0233545049897822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14912935396144 2.15458427192233 19.9893132769278 259.553826617487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.524090869333836 0.546878402718416 14.5921326061983 9.22909563926207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.30403869323606 0.280938317522005 4.56191256340804 1.84263897115168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.198003849964574 0.184629983113454 1.51595957379689 0.60916503273491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.82181377472723 1.25567626948172 1569.97820991816 56.4766662695459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.679394243071514 0.310824769322286 32.1514082035887 2.58543131399013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.274318578579346 0.169778192803068 2.74643379509917 0.340318944175739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.175878961324758 0.139316266131864 0.673652541018873 0.150854763870534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 40.0024888192611 6.39196034849952 612391.723637272 10372.928029519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.94266644255367 5.89555477620427 1028.90902833169 23089.9082985558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.936087949027558 0.633967411012258 315.429613539073 34.8660643578521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.213724960207062 0.25805416135533 0.926895101039469 2.96273522790223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55940196663947 2.32536868434278 20.1763215876072 97.7678913387214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.664749239638545 0.861391817160266 6.90516033836374 17.5080030732595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.392207812761344 0.434493262404243 2.80452024400224 3.32014773724349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.270236832421471 0.278303250545692 1.25523313285569 1.17984788808054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.5749045830896 2.8882622476554 616.812251750921 391.948118118742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.694473496847652 0.626882464199754 28.8114930162091 7.15129322914934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.389863037396279 0.26594704888026 5.5652813231176 0.680275566259012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.242952702511925 0.184476763742181 0.634768494211625 0.190963180714742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.3132387568781 5.21573074103728 205416.088911438 3843.56634389047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.7366583510015 4.40845529979809 385.906610384222 10372.9294374431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.705429228557503 1.03766992374111 44.4599064942848 89.2511853990439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.407251331877594 0.324676477383963 2.98888916486529 1.60570967815195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.031933439771948 0.0249557846814676 0.00390229517812559 0.00457270535903783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0324349533450341 0.0104323811588 0.0045823059994395 0.000542142760580312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0422948384336552 0.010721488709228 0.00821569745748836 0.000566223369651557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0545236180256386 0.0175967605707752 0.0126730887334501 0.00158307998746025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0582142346678466 0.0323605893488026 0.0127519395864654 0.003904726963487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0786504067273566 0.0394344227708969 0.0157843262583835 0.00671267435635325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.106050378374686 0.0589569997851938 0.0223229275818895 0.0157922678832087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.139116558304423 0.0733311849572098 0.0355688511325642 0.0245746350120352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0253516165913204 0.0187989898780243 0.00364712500515821 0.00111767522145041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0824630590537036 0.0246129567367323 0.0360664911572777 0.000932102248555978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.182856747598158 0.0474143101032131 0.183399551914393 0.00347051030798357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.305819901208363 0.0952452128603096 0.722180324397059 0.250584141779471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0372591144964716 0.0363923448600988 0.00515330790812865 0.00678670084582236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0332859135549869 0.0137839226415111 0.0047992660310045 0.000799214674200366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0426590425774202 0.0119689836079887 0.00833193678429346 0.000646528166448859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0548110205536188 0.018089301195604 0.0127648414225854 0.00163921740385872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0603071020618942 0.0363511753338357 0.0136015679075676 0.00454404400496841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0797157000987089 0.0400891324007576 0.0161611552246428 0.00690786311984147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.106621213860327 0.0589692786633263 0.0225143203293232 0.0158213989641663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.139590962685767 0.0735528923235326 0.0357648306835112 0.0247329508823513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0283584020425931 0.0251080058233886 0.00433220089100324 0.00203423799783101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0828081286470185 0.0246943392383906 0.0362716273192194 0.000940591983468315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.183210722619249 0.0475091818973166 0.183920851415981 0.00349341176852917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.34179992730037 0.0897973071475611 1.69092785121866 0.115275622989327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0487875870783788 0.052064979163394 0.00980026541317849 0.0116618885323728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.035244905059296 0.0187214337989864 0.0053179853709252 0.0013466183482631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0434216844609717 0.0140977737409847 0.00856533869926104 0.000819343030969017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0553230517590336 0.0190549223226538 0.0129288200203684 0.00175579953154049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0654064055035715 0.0455209564933881 0.0159317834976432 0.0072359398345574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.080941436502875 0.0415544161644151 0.01673886850994 0.00733244578923856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.107078702447037 0.0591139346773415 0.0228023777734534 0.0158796939159734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.140405552739112 0.0739907486562322 0.0360896870325981 0.0250044402337642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0338246671219066 0.0359531650128882 0.00606059932860285 0.00481568819615328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0836689364823897 0.0256216517150553 0.036906146006689 0.00100233137896245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.184845131438149 0.0479781673679716 0.187357775202514 0.00356184888762832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.341050029944358 0.0876164052040939 1.79486284493769 0.091350959934636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0782539520133044 0.0851921236815517 0.0319037088528996 0.0285308375255339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0407990375576077 0.0293337184395106 0.00716418615720017 0.00315525441810121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0452707209597627 0.0189480311563649 0.00916499740378036 0.00136319671475744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0566585875391692 0.0214822323866134 0.0133784594737047 0.00207963378763401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0798932983920999 0.0679919494178032 0.0250742540607849 0.0192293515368863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0842086993525924 0.0460985185020427 0.0186183888613705 0.00902772165138451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.108654924241413 0.0599771335558111 0.0237718395152817 0.0162814520205159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.141734853923763 0.074465072031015 0.0370013399685815 0.0253053399948465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0488829027342089 0.0599367531861578 0.0124066811424175 0.0157383964804973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0853525129715016 0.0286026336240429 0.0381625812083745 0.00131276457466064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.186501199534175 0.0488399721191093 0.190922839422707 0.00377731574656733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.313052165455005 0.107758128434398 0.776430708443444 0.622991122196202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.240895207159926 0.242467823098825 0.516996247104611 0.383115406976661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114788000053591 0.083903298753205 0.765906370844813 0.0574101270653871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0795825410937401 0.0499174954126882 0.187627321435401 0.0341976654852523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0760310136659271 0.0418878473383982 0.0560308008661824 0.0243277375445235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.184463743283624 0.262424371565473 0.422229028759105 5.63628662764547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.11890024432406 0.0786485181879635 0.144100125281215 0.0484557795942802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.131962151806838 0.0773253442016927 0.0994940973346779 0.0525110390012501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.155474800958252 0.0837129370868098 0.0609531678334029 0.049141151996443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.169299985086435 0.185919828509095 0.661257022070973 0.41984632841365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.117483712370048 0.0660735163559309 0.126099736298223 0.0922841561750162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.205475898125954 0.0651007756409948 0.245016127826075 0.0361231174465475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.371739749624174 0.165231380032803 2.32158223506415 1.33473741841328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.560429414877936 0.368050509771655 31.8514224692134 0.52605257982174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165236125635516 0.126124871098355 1.87305232860049 0.0771831892266947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0855567910284671 0.0695072102274523 0.0976565324656385 0.0331197793782477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0798430411737593 0.0544907262850914 0.0319715372769067 0.0256798799340942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.388927486986978 0.279385461033042 15.0923086113704 0.441911501397028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.150118769697265 0.106068778949514 0.55764998374687 0.0756227079680069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.140027103710309 0.0884324724199269 0.100523765103281 0.0539707460012852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.159099861472685 0.0875711908113319 0.0546733817969128 0.0434291596320374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.281216001095476 0.305929134655337 2.24905829328245 2.31285811072942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.244716753228627 0.0820607967484009 7.96944707812165 0.0889662892887788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.280962719314457 0.0910857625989679 2.61799280580481 0.182296756928859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.337797989364392 0.133796312186357 1.19572598003954 0.786622037071398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0678567571641996 0.0768280599794886 0.0238315776255372 0.038248981975694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0401420547740415 0.0258567023397244 0.00700385831506611 0.00285959309460621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0441908797438042 0.0168053366848331 0.00881644664801053 0.00108688679701847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0552761089284338 0.020515036602148 0.0128713949862507 0.0018922075954572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0722018386482868 0.0634462910089094 0.0238867253382074 0.0186853459629478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0816508613553724 0.0454780023269933 0.0176777308731406 0.00951816358326379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10677846994445 0.0597483519381292 0.0229844364726506 0.0162412938720916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138916995372929 0.0734045318474797 0.0354215823886142 0.0245589099004451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.046083005321078 0.0483704567551044 0.0143996989008852 0.00847943391674964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0843719980697407 0.0283523748669 0.0377866625052985 0.00145821698257191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.184576751947199 0.0482200070562396 0.187929780715354 0.00382620149710376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.291600292746911 0.0819084653866223 0.55678192179119 0.0979179249034728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.118688372859117 0.139847909614918 0.0924887175222588 0.147569084594226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0531882380571696 0.0449893102373634 0.0153859783109057 0.0104076477097074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0489552543480461 0.0256235106939537 0.0111695592982902 0.00259371140845512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0573932732129571 0.0255316965422023 0.0137150574942307 0.00299782671222839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.103159492234579 0.103103971128244 0.0816516161171232 0.0477251981283337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0876158237538468 0.0549564425047136 0.0241932539132781 0.0158090994666248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.108747185237766 0.0612788746322179 0.0251104087228002 0.0169438771163246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.13913628092434 0.0734484104535067 0.0360474574945398 0.0243720505858892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0777717993216278 0.0831417274344057 0.0476193805754441 0.0256247745777742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0885416635834101 0.0350440896635606 0.0420043600266523 0.00283544635083032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.187708598789672 0.0506366552378306 0.197764931793801 0.00490186932681756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487471237205187 0.124707068747405 30.2065043565321 2.14789047019944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.237440118574436 0.281235650974311 0.43020694609689 0.692506858267971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0862987634421805 0.0916595906095297 0.0650869486537932 0.0733520339909628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0629831527965071 0.04852961802247 0.0256503590369674 0.0163481829539144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0648856328388246 0.0392298589966147 0.0183143711099221 0.0121028328032866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.188608042871172 0.187791223527137 0.495137736411388 0.17408898173938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.104037455679497 0.0784882592655254 0.0624279686892744 0.0452079633273625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.11420213770795 0.068629386384212 0.0335180601391219 0.0225896142695438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.141164956586063 0.0781935668145012 0.0385220242833256 0.028689595243208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.153817860269377 0.164005234605754 0.199742017139861 0.12060111402687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.102926389275862 0.050698827490424 0.062186743353123 0.00820750569508299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.19966563649171 0.0593271849417686 0.252915605822166 0.0119247770997503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.304608417794846 0.0776006094377341 0.65507483628686 0.026722673409404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.08709998175945 0.987531591764614 79.879666498757 11.7363222535674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.49942799061158 0.376399491239072 40.8261306927887 3.36256742429654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.333073705488358 0.235835373860456 21.0031680716357 2.18241609518556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211443431866683 0.166469238887231 4.68354773887335 1.31252656480725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.22110443423492 0.810627096804427 122.672945288009 37.5027918622539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.333349179552233 0.292215245348578 11.4603017168609 3.14478786890962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.189561920707971 0.217560109806844 1.42797552741185 2.12056968531062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.182685768862258 0.148930216762314 0.448096350600849 0.323317057087752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.02703314709314 0.632706431258705 851.219588460567 3.91287187161536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.24332241526079 0.385844850217355 305.335496005399 17.6702677735114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.848607973065258 0.264995560557452 72.3023014998059 8.64574185442422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.531442822102551 0.220306350471784 30.3642138703446 1.84739235560778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.42542846466396 1.55827536339382 25.9240476093948 16.2538247126799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.527113324429712 0.658993733222285 6.65178491106043 5.52678995376592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.306890370136973 0.38465248117496 3.21156642254548 2.08626979906863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.231770112504507 0.261419217546607 1.88974948539443 1.03929846426031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.55843729538577 1.38413053112401 58.0945455093454 48.3636827901218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.537980523872632 0.484939262666342 13.3161888496426 5.1963444692477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.342415887139431 0.304707483413557 4.9464550018379 1.04833612391987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.276980083587838 0.221254020579937 1.8499866041191 0.502534227912664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.78439737506584 1.14702491797482 3256.18036444676 11.1833679865521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.837733245676602 0.451886060483702 56.5342079903859 5.9916455131526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.689590813276289 0.399458177495406 17.8473128674157 6.71768283232506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.528438086246532 0.260682828776287 9.80077456376941 1.3083037750578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0455152861496406 0.0436033035811725 0.00508900380491101 0.0109532835937523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.02220609444964 0.0245266767050327 0.00167302697669813 0.00180283844586283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0237697230632986 0.0317118269610741 0.00258477508955319 0.00197182203926139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0305176066757702 0.043644836923908 0.0043022553954744 0.00218836160680334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.043189537437635 0.0440358861886052 0.00642175291311021 0.00674064150141636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.041008823986959 0.0503900038109643 0.00414999195153864 0.0093798241609938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0509039140235636 0.0645830783893147 0.00470662893130542 0.0174397442669691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0730162051623212 0.0820849079418083 0.00845102002684289 0.0297667693290262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0274694854062543 0.026814240664584 0.00295055358861066 0.00331803707656853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0249744138036701 0.0303752445449408 0.00319273341642054 0.00152076509922316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0484715349592343 0.0635755756627907 0.0122365945590421 0.00581093940036511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0807709886549561 0.109127624961062 0.0339487144764845 0.0184394866687051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0545697720907631 0.0517152366895578 0.00839252497288864 0.013915277838832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0245410887223617 0.0264135094297387 0.00209270557012474 0.00207830388772195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0246612017821694 0.0322236873380177 0.00275170400744799 0.00205562119368437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.031065951824645 0.0437190811831903 0.00441757504663176 0.00222322905435867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0483143313755022 0.0477623720916291 0.00780663245840143 0.00769529368434783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0419855352882188 0.0505401516993583 0.00436010271557898 0.00946416472016655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0510118549108311 0.064501332212229 0.00472718575253709 0.0174402201252253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0730488713636295 0.0821442466589316 0.00842877028791886 0.0297310925301041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0314998434067198 0.0311078786023687 0.00381717064198272 0.00409410362069945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0255250109924071 0.0305912667009104 0.00327514946885846 0.00153353047517035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0484545900452262 0.0634811828258218 0.0122045044608993 0.005712361581622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0805132026146965 0.108794902756033 0.0337164887838741 0.0179710679037683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0710080066656528 0.0645459504123513 0.0193516323879556 0.0201651294098285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0292063027041639 0.0300651222483341 0.00333696468062955 0.00276439893143965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0264437255055753 0.0332967609553878 0.00315695751446078 0.00223949718765143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0318549236237314 0.0439498974019004 0.00461580784775967 0.00229345033557243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0580406000422609 0.0552132404516095 0.0123177708444243 0.0104393433113159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0443752409908011 0.051616359450028 0.00510278981409897 0.009823405181393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0516801114181245 0.064878097363888 0.00494870065470282 0.017607064954835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0734729177557 0.0824122000957882 0.00853774132777279 0.0298135547190487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0424476931747327 0.0385182369660908 0.00770610563627869 0.00610079613062738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.026868615732865 0.0313876595881832 0.00354987035007294 0.00160192282986384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0487111393487366 0.0636215813125855 0.0122931050608627 0.00567120171112964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.080516615095701 0.108635387054013 0.0336992566638637 0.017686105589494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.109194630529317 0.097294566028982 0.0651612661263252 0.0423097005030285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0413124398431858 0.0401095765056844 0.00841008114454464 0.00528806356798563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0315148449514698 0.0369748428160044 0.00467035910769858 0.00294361342055238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.034024508824455 0.0449237863204748 0.00527359035449487 0.00256757988268095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0819124978915314 0.0757518660650108 0.0312629248920282 0.0213982461457419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513316033659886 0.0554737383811822 0.00840295938085883 0.0113102842685557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0545513099102763 0.0666255363755018 0.00612174339739878 0.0184249552890226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0751323591042561 0.0836023081138694 0.00921819988903395 0.0303695725048166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0695784138301411 0.0575309143067865 0.0255813542912865 0.0142353747301961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0307030333931184 0.033884784309894 0.0046831154786984 0.00191598533539457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0497632949423058 0.0643067992111839 0.0128265816271465 0.00575313317208646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0810969091487732 0.108739189655405 0.0342790314970037 0.0175906409359127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.395046138482036 0.313693544365246 8.66467953216351 1.57671061245483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106259422566862 0.0959457311832436 0.0759922278210804 0.0496946711640854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0630102098307606 0.0644564294802936 0.025632137607008 0.0213552001048734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0531207798779209 0.059766147945766 0.0212031333402221 0.00902659069760661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.423130350624604 0.20201342690428 29.1597838306238 0.26061555629069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.087314142152279 0.0914709039014803 0.0359734019771407 0.0551461050736776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0735568244042066 0.0845251829385469 0.0195686929942894 0.0424131170167676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0918656307034976 0.0957419953137312 0.0246094793590937 0.0448016395923117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.98129155548153 0.231505742837968 2447.73291234845 2.4269781280761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.21655527305504 0.107323870623331 9.57556180587968 1.17327844763044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0725399201374 0.0875044942947647 0.0532017800146963 0.098109937632158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0961518531182924 0.117979545966961 0.0601582549482516 0.0275592171076438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.05224064964433 0.618778083530963 179.785759372478 11.3997560946616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.239446345276816 0.244700634961726 3.01693622031667 3.10363067625805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.131833595828802 0.130709556033088 0.760554044315361 0.593318175802953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0877930554179912 0.0931556121030527 0.162780729967304 0.0963969732834163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.15721787761565 0.650634026482712 284.384876606727 34.0684869856678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.171435024196922 0.285286718474159 1.39536775283391 6.94649732524919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.109085577527334 0.151689816476588 0.163942600911451 0.862776536362745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.110436217022381 0.127859212930017 0.0502253638852566 0.186997399210184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.25984573690506 0.387854833544987 1658.48688489543 2.32322091849182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.293019276635952 0.140283430452298 13.0104559074628 0.939280287099651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.143048269655302 0.146693293781083 1.31984700501805 0.730144629749965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.142691305354393 0.169720528439912 0.689264838585666 0.638983722654324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.110462788758943 0.103815698622289 0.10494543670904 0.0937786697596791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0435563652129074 0.037470575203059 0.0129075384106233 0.00536342487543114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0350073303253203 0.0364813711304804 0.00837612600135081 0.00313782844160667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0368986535585216 0.0461337560850315 0.00748986640947038 0.0031182939192675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0851892316604399 0.0694281047477446 0.0930547455507675 0.0280623049496414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0528685833554245 0.053835558251205 0.0184463989273181 0.0113157767547147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.056607661940135 0.0677972000661846 0.0085106755223371 0.0203788335344453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0775717833227146 0.0855605975437891 0.0112347310703376 0.0339687103521614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0731189098537933 0.0660449552800675 0.0582679962781171 0.0629897890037769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0344501245169178 0.0346936004896261 0.00954023777314879 0.00273765017235394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0544083440583399 0.0652793323231115 0.0182374962019357 0.00640053437311307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0868160307823856 0.110514021099208 0.0418907870316715 0.0191109734623005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.211082329807199 0.192418475417563 0.897614271989088 0.456648845809161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0720720962157184 0.0646893882565691 0.0456395129399106 0.0439587935457269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0509784885836453 0.044540371862719 0.0263053227828042 0.00676670339472485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0471680406944933 0.0509685832444204 0.0204068079547115 0.00606960787736512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.142357603477452 0.138374429874881 0.409046800622336 0.537882168425241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0715148326411034 0.0670255830659188 0.0640368520699339 0.0305066688498275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0665578683055402 0.0721922087902836 0.0211341278808886 0.0239129364946879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0849028429144039 0.0882477903227133 0.0229440670869428 0.0365361249275808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140972229344627 0.146725573006913 0.31533682014261 1.25482542222891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0579273647603506 0.0510360419452168 0.0687186731520264 0.0302139856420038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0982085272600828 0.111644190463858 0.824459545428354 1.45002236417705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0931630033008892 0.112585360402403 0.0579822075638582 0.0225270338957857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.420032498703736 0.379677811151021 5.00383317092656 2.03733789201777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.164671493772824 0.127132687050342 1.09716871394551 0.387374126425938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0849598888175579 0.0749652260322997 0.1418757841485 0.0814540209319665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0589076509481287 0.0621621278547432 0.0260007192320148 0.0143484583829883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.333938738966308 0.485733975791007 10.802673759076 25.4590472013271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0956725953574175 0.135418771821646 0.0618008774071637 1.00833737256159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.084923545632119 0.0964969075925754 0.0402356313298912 0.0988083410111983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0964194319218547 0.100456477986372 0.0345138027573673 0.0551293824060452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.408835172186235 1.6358634346777 7.55946393971656 635.844120572901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0726876883228904 0.1428214100582 0.0679532607554176 2.2905036503626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0844002092821858 0.102705625735196 0.11049645164594 0.202511653247823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.135513768689173 0.127336003052308 1.05822573851069 0.0734971055803455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52184843075398 1.50771155661606 66.6481034699623 58.0818626277517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.678172050746998 0.648199392467557 32.9341509786967 22.1399495512701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.400864681112044 0.320407914731551 14.2910116273654 4.59653257297767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.246387299402967 0.196061841180815 4.14738285159887 1.18734581748523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.53379255541012 1.7792115063746 166.874099974186 229.709189434965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.495931898854379 0.330087093376328 8.716694832345 2.60080203087261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.257751330247814 0.214479772642595 1.38813849957566 1.01919886309041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.189929030236753 0.186696044100501 0.383623614369374 0.440005439703304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.7800321566154 9.2080710681062 98475.731051528 16690.3112301759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.76187479993208 0.415187308099908 625.223410482595 5.70517732617581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.83376396528678 0.324881912129316 1340.90356603899 3.43581571986294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.632923015304345 0.34892185362443 35.7089987047224 3.65515327842979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.78989304492175 1.85464147439561 37.7019085434953 39.5430087875268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.689332835543792 0.700770296995713 8.64906893329483 8.99111519710113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.378676047521273 0.414443887345722 3.82518772859769 3.00674339408266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.262327091824438 0.303017646199595 2.03356715730256 1.5405347787003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.88905799544684 1.67776397115948 100.648226503777 65.5574465044482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.581181299909161 0.692801689978843 10.6361771733708 15.7387277056203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.295091996236099 0.348414801619175 1.20927549156798 2.48060501068182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.223482097546361 0.262712072687029 0.389171695420498 0.887961312912813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.50804846554285 36.466166880649 2537.97755971932 775788.253868033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.34578755479524 2.12550605534483 148.033875048416 405.418384613109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.47091892811058 1.29498399539876 26550.3872606336 251.048164177075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.441883395189634 0.365899499465002 6.16618598734174 1.9248450549417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0372712400043678 0.0413922778276323 0.0035494397907552 0.0100333810019315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0202910764168985 0.0168186685746572 0.00144325406220783 0.000998890365708043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.026172685665025 0.0165942731540705 0.00303431020948779 0.000536195235589604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0380276742409171 0.0230526761912725 0.00649381197440053 0.000616850147294355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0427603787006149 0.0398431462921069 0.00597610201375167 0.00555222045835924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0504680067390248 0.0409446073926154 0.0072423730195122 0.00661359196842384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0636317620937491 0.0544987702317667 0.0086246888238611 0.0135073359831962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0850869706465694 0.0730334470160344 0.0139692056457487 0.0234695496733487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0249154078096005 0.0256659768202067 0.00268961353999155 0.00223297191108852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0313484978829188 0.0227118521769057 0.00531301203054229 0.000803841656656928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0623450095519189 0.0440902808388808 0.0206342816474871 0.00214038341164651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0956872711079085 0.0700476870027168 0.0480758463841133 0.00580429571264837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0450269934938015 0.0500046910439992 0.00580555932275975 0.013032199491536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0218162278470643 0.0190566198747215 0.00165486798673713 0.00125606543924492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0264535018675829 0.017280809182964 0.00307330603422985 0.000595283566325095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0382172447221149 0.0233577311667347 0.00651716223805583 0.000651237196028587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0447902350072492 0.0447696933852844 0.00692775631814799 0.00701778188774103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0507911253477719 0.0418843323283332 0.00738119184169731 0.00692036505981552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0638933966788483 0.0545558838611043 0.00871853481646496 0.0135833077104392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0855973733570241 0.0728415959229556 0.0140976231094111 0.0234724431426268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0295510714812736 0.0312389019830962 0.00368281535549103 0.00322170087317756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0315729601808963 0.0236832090948337 0.00538933888231882 0.000908166609073535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0625833511713713 0.0442276915230311 0.0208257819495522 0.00218436372001234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0960917514800922 0.0701241150983516 0.0487320366694845 0.00594259616199596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.060542676445721 0.0657084136058034 0.0127340633341319 0.0211387816791067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0255686582813011 0.0234963164657686 0.00236067221695001 0.0020340836146549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0276489594504274 0.0189072901842415 0.00330080275243055 0.000772682150194753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0387577975504124 0.0240962238637754 0.00664994092593965 0.000739345550470291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0517926339771645 0.0537814442092354 0.010094019736555 0.0110169476943071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0517999454283458 0.0436837512999173 0.00780563479898195 0.00765597436509897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0643878274526045 0.0549404589462049 0.00894598721374413 0.0138662040666216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0861700735880634 0.0730399491349416 0.0143473846592726 0.0236658621658398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.037406384644575 0.0412496888280479 0.00580695843685528 0.00593571496615001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0324640776121928 0.0252502344211892 0.00564783996144807 0.00115162856696196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0630648142210691 0.0445660475865511 0.0212547405063676 0.0022964719742832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0966782421297467 0.0703545672888252 0.0498655944034091 0.00624948040113872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0966610648930194 0.102597253080851 0.0415985504753189 0.0500698717432182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.034894993835298 0.035215283718996 0.00494018108086276 0.00503219376921915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0309174761194914 0.0236743404231872 0.00414603113885282 0.00146483666031686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0403001921518034 0.0263815010336172 0.00715735931461401 0.00107637311964122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0719134211555173 0.0769655386454846 0.0229740075801803 0.0257216762133991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0552862249522632 0.0493137774885986 0.00941065126969151 0.0101191426479061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0659745722929442 0.0570375705357885 0.00971599741841868 0.0150465085036119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0875133109997107 0.0741799979138452 0.0151099091061715 0.0244320700805048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0562756413229745 0.0649679631606575 0.0130322022387434 0.0161158179827532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0356194776643511 0.029468482997622 0.00667868093810693 0.00202102733453026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0646560870296155 0.0457559599084463 0.0228576033814994 0.00274939511449248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0984634624411762 0.0713504097559326 0.0542782798865683 0.00777998651379696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.283114558441763 0.270994523731858 0.652732665440559 0.434143226629161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0856210525919162 0.095846704441294 0.0503100371053551 0.0496015186367019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0527536840355015 0.0506076658743483 0.0150130100893465 0.0101144777048983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.053059887114892 0.0398966250005524 0.0142824459045653 0.00451987982492963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.173884983174719 0.218297628883598 0.22210255990563 0.546593634270231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0823582529862942 0.0893642178069703 0.0324501050010263 0.0616538518151467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.079707736294732 0.0769436107639856 0.0168487783409723 0.0363633263383727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0985362615875692 0.0835148573602479 0.022115396342072 0.0312970202246887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.155531048123279 0.184629209094148 0.145637138134262 0.159517398348348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0672107277253452 0.058660143227278 0.0480321787230908 0.0176463836612754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0842515631503904 0.0580740274216891 0.070193522824314 0.00951200031555022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.11251167228044 0.083102750941649 0.121471746784283 0.0443912888509016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.567234471000561 0.463113308288496 5.03863460301703 1.46787946492293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.200987663837786 0.177338485464161 1.29509058928327 0.444609932990311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115760584714701 0.0983605030973312 0.554362123606747 0.235830380387986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0910491368301777 0.0689451835096085 0.219735844031601 0.0946739230393601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.317845196862363 1.01721680113974 1.5437631514375 138.956524873849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.142232087203683 0.182785276856009 0.405534616410862 1.2428829890166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.11867560018973 0.10782453806088 0.136173997246641 0.118435781214079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.121053362441047 0.0967236232026744 0.0623726409340963 0.0410425772458296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.54300278326173 0.475839316883523 682.014265083515 5.70061665740976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120241225264049 0.196187686584495 0.27797716797208 1.59440784907476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.273921751161106 0.295916824787994 10.1324966605617 30.9023314302269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.14103847690341 0.159389959608278 0.526713690389392 1.59396893436621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0778949594236917 0.085729499789728 0.0236000365634998 0.0350820104448507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0310042731171174 0.0306768609186207 0.00382500324547118 0.00381320800393971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0298526463824288 0.0219773547888811 0.00379525375300739 0.0012505660922303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0392111994910774 0.0255115584171615 0.00672341380705207 0.000893507748986515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0693506875792624 0.0688017348497917 0.0251847677942028 0.019614230626654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0550770616634992 0.0477913071613534 0.0095437070447399 0.00949484643988674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0652420863801822 0.0578052881565484 0.00943246947737129 0.015445775726473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0858013154383876 0.0748677533693935 0.0145027229114353 0.0249051681267684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0531893608794425 0.0545142047798596 0.0192368098549266 0.0108148265159928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0346378606645339 0.0286418267203197 0.00631736361501563 0.00157049466708941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0640367626802077 0.0462095414255112 0.021895006780842 0.00247090467967901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0976147627114771 0.0719936911050041 0.0510063763751356 0.00659211715435609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.135744278272175 0.144253242556634 0.0974970686312044 0.1069637193408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0463765405869944 0.050352486095399 0.00979784001265099 0.0111009434065998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0366035648910883 0.0306526361826539 0.00603399953250189 0.00327562570641465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0425397900628466 0.0300441342409778 0.00815010803939053 0.00200841503108023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.110721270618212 0.10948365491793 0.0930661268587404 0.0621872197148161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0644867321475169 0.0582887147856941 0.0175148855743131 0.0160651206257815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0696481847032441 0.0642054399016506 0.0124387798080634 0.0199946079277846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0881125018849884 0.0803215384188095 0.0165341127209234 0.029115486508718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0908454222860694 0.0962168547625078 0.0627935451517405 0.0352853683182394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0426925167164517 0.0381887721042888 0.010560126206897 0.00464570265030659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0693102633817451 0.0507768209986979 0.029634396889171 0.0045650025660268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.114136366657297 0.0898931121031188 0.215916913299942 0.180160970545707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.272282041714913 0.292453598004685 0.559470022230735 0.666591643130603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0848000476756674 0.0986933248654592 0.0385771269687564 0.0600341416054913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.050318375450003 0.0503295680498375 0.0110404927205862 0.0104247319876408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0503257422600208 0.0401954487831635 0.0111787498107473 0.00507714206078734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.219613857941908 0.211170122147064 0.645710665088999 0.455412560448874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0910115717237167 0.0846309128013546 0.0592117597746566 0.0486700433995693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.079376966408223 0.0777543148243847 0.0197321327114795 0.0322767341881281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0937264545952304 0.0904233045133988 0.0192726988384408 0.0383268042275907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.174751457362878 0.218751480032331 0.246157726930818 0.651393879673929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0811290430704912 0.0778939969721474 0.152453799931464 0.145107321258397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0874308108126615 0.0652948916030411 0.0741001683124738 0.0247236175858876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.112102217418442 0.0930976664931529 0.0830942223549701 0.0405298127552966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.01283955447788 1.07212906154782 25.2486498953265 27.0348928988586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.298077917678799 0.39242426087619 1.20182098080036 3.55062020990732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.168729694809517 0.183413922513817 0.422327309851585 0.542117138875716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122815934717418 0.116547193089566 0.175761777441021 0.153297538361193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.00216994958285 0.762123082649208 42.1335086711934 19.1158768681289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.323871815228724 0.226843355032036 2.67644175083129 1.05876180091061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.182051078411396 0.146769274303948 0.440992943147105 0.144316812299017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.163008372520883 0.13572353405469 0.179264897740036 0.0883665592595249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.00449481378513 1.13961443023843 46.6041946244918 52.5493867653213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.412683126246372 0.413237006302125 9.8136962936529 5.44033554378518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.342919317343085 0.198676387329288 8.68265850464793 0.520857865376157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.216482803379595 0.186781273321505 0.59351393819047 0.508473151386638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.62387318100377 2.27824400111195 74.2839276796315 270.818557549534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.503997861055321 0.857764543481866 2.898271567655 43.1361979931946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.27792018285183 0.368560933925526 1.02314378328227 2.95858477386255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.198278676446287 0.227265583996781 0.452157510520101 0.775071405187145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.95037702106831 1.43078312291971 135.681211635761 38.2931361781725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.507029612230553 0.474514963532972 5.58210245691738 4.08730636922853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.263783881087448 0.261773284823643 1.00464923724931 0.666958293609545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.212696748829529 0.20313488310784 0.335702398175527 0.231457794123494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.86597638042943 3.89941595056227 107.483447512242 1452.83484251846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.28037682100289 1.84208292160481 235.040218943074 748.853378952206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.548079496552604 1.71425060085385 7.83287251569398 980.806430053081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.337734940757839 0.251968451145994 1.8139013378535 0.487594734134399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0404729113171046 0.0305130509529402 0.00449599932433897 0.00539906491153603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0153805091255058 0.0137808054214973 0.00071192860139363 0.000621668603308376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0150818914002368 0.0145610460688811 0.000890940602825017 0.000390595615252773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0220660674756312 0.0221416028323434 0.00216931113493631 0.000595604395528483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0335832181777303 0.0329333137109571 0.00349985564059698 0.00378799687044096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0312492320673672 0.0303274172610772 0.00267199350700867 0.00373468025739995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0366076563955296 0.0399787296607107 0.002957013009136 0.00720938034453307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0464508431984804 0.0496611214331005 0.00524697236665941 0.0108181428592062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.02317887078146 0.0217850270816436 0.00224844256899483 0.00218745097057088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0158113355527347 0.0169616450279704 0.00126645166018565 0.000556759071341872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0317101417802464 0.0337175607332577 0.00524706375418312 0.00192667921449274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0549302550138813 0.0567434102251715 0.0153553514277458 0.00449033464290773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0571921144331031 0.0468749481014011 0.0338973305119723 0.0342822209469984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.019208318946049 0.0170721761534847 0.00303224112058466 0.00153817368625796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0161952612887337 0.0155245046216241 0.00126840813158297 0.000484597476289516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0225686162374517 0.0223162603134376 0.00229479191179698 0.000609208909014801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0508720002962422 0.0383818160238642 0.0612211259384003 0.00592621964827139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0339139249900431 0.0312829326775011 0.00435798722811248 0.00393321474266212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.038059733275861 0.0399809221599704 0.00358506179773446 0.00714371057548856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0476932848264887 0.0496094895926581 0.00579660934508052 0.0107141243439349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0357459393208867 0.0280408122007619 0.0251747922734299 0.00403709070125104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0172094980709745 0.0182604905778885 0.00167115400942325 0.000795609991737376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0331225287583706 0.0340862771572312 0.00618168772574317 0.00202452037987965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568736680139623 0.0572205051553578 0.0177436960153809 0.00472314971980693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0764673631076941 0.0707376239499088 0.0806811841798573 0.167140114289068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0261209840573761 0.0215873180968357 0.0138498603487852 0.00305627233660357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0183140692757985 0.0164208109324777 0.00299690696438499 0.000546017698562403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0237039507065363 0.0228114584166112 0.00307576596242692 0.000699764445670216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.074630434565182 0.0468649561578059 0.311554472640643 0.0108615079096274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0379333670942061 0.0329019301936746 0.00985188917324751 0.00438670867611166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.040105997957422 0.040715086315349 0.00516431016945142 0.00738401135941275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0493315035556983 0.0501608651757108 0.00710457576349418 0.0109863703008151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0556967869223304 0.0403003411309956 0.121926166180468 0.0143727828879398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0211496536469421 0.0210888654073212 0.00492455678938536 0.00206425750140391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0374660108842177 0.0355935407996882 0.0151047873461075 0.00287525266318191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0661923417997113 0.0603144027473738 0.0741985524197894 0.0108760230971074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116914924778861 0.121506612951729 0.212099455414374 0.727986258098576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0371137313334093 0.0396077113089203 0.0179960655786882 0.0895982213472611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.022866606722097 0.0223119391418387 0.00494950899291964 0.00637320488601971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0265725141513795 0.0247142191466947 0.00533569241825354 0.00123531221062398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.140940315059114 0.0689334340809178 2.09418099605068 0.0325049282041916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.047708041374598 0.037913290931906 0.0303540679822474 0.00639618197205558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0454410879774959 0.0432040315408551 0.0107192714091168 0.00844473329683907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.05283318130252 0.0521934742069028 0.0110942727647229 0.0123300804499483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10492907673149 0.0716182392292288 0.760962406884039 0.0755929421987514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0375602878784454 0.028968864426839 0.0781818708734419 0.0124638389782482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.160638372481593 0.0603115288775217 9.14614177637123 0.230075806234512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.068385295437954 0.0609274299216229 0.0915522658552463 0.0108792774388691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.296403908243789 0.365955087299773 3.79316048167469 7.24946765584885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.132710276447239 0.108630894505546 1.50925860323886 0.692411140009121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0862434153869265 0.0591137804242128 0.872716819743839 0.168516626427087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0692326218039338 0.042083739253881 0.492332930809304 0.0353994051923918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.475042068737683 0.299288694777734 30.5214128296686 14.8566301758783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.100739839812333 0.0657390751742934 0.930236285825553 0.0494174089328949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0876855124713823 0.0609954310818588 0.405478424917285 0.0336615358360911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0839804842208144 0.0601041206374069 0.247543278437444 0.0161478483007959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.29751635914826 0.274609150713726 5.28910739636473 5.12322663578973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.198126845814401 0.288915192548138 16.1493228947759 18.0366846975918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.043348428486625 0.134766194598876 0.0119238883442043 3.01632902749638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115964855921465 0.0771954475685138 1.01989954415438 0.0824895900006677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.37352793764536 0.393115023691718 0.867950341609852 0.947477646003263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.125570415534039 0.132389612651334 0.0993281420532024 0.204545841258941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0632247060293154 0.0770187599553448 0.0260569439507253 0.103930590205097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0494152688865819 0.0564712971806293 0.0160905413027066 0.0388452375578493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.45867391083499 0.311672638484567 17.6139605948747 2.4022512523296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101729096349975 0.114896011827933 0.0826952585089271 0.274979187924627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0756734277274456 0.0865647209250871 0.0297214952539757 0.10162061774746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0720357706000562 0.0744893940912434 0.0182488986395208 0.0305327312748788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.337809443471111 0.325653509106686 2.18465389370584 1.77595969035041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.128272080049901 0.24500868681563 2.73602154765325 12.8229869362213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.052446511992909 0.104806676004683 0.0177927603291208 0.661398024403479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0708820638362343 0.0869297640039649 0.0263892970339358 0.0609547735162883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105521386686077 0.0809394913492298 0.302728439908534 0.0691633203978611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0327218166521238 0.0269458884134492 0.0159424875023557 0.00566150802683513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209496778783732 0.0198254201623284 0.00212848960526698 0.0027664079367502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0257399309062356 0.0251975333499824 0.00365886919121811 0.00219689462577903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0641090453380671 0.0790438051161076 0.0193821457801507 0.259226739138488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0382084925958747 0.0355027985013209 0.00547137060519749 0.00618725007732689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0397300881547437 0.0432928060433199 0.00443504779851434 0.00971760647245382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0479623960677142 0.0521852406711098 0.00606011549103321 0.0127668064580212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0672451377477689 0.0686404695111735 0.0946468272703505 0.188945521455706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0243239428076 0.0231677830664305 0.00965406596711377 0.00324167527703979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0365500560759088 0.0361275092767525 0.013194571074932 0.0032307860858603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0590092374420013 0.0580679664368164 0.0221757021918443 0.00516842844869803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.275883227590266 0.20966689816734 12.0360987269065 3.70682580472341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133513596234841 0.119074364160285 5.58423758065183 4.55301367906063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0506044265973045 0.0495345886424241 0.396209308858424 0.376479836769804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0326576852682056 0.0362008327934862 0.0207896781055477 0.0393374687212195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.10784235909228 1.00134996582407 0.0869954229816433 507.36878964126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0505505703894359 0.084640884722953 0.0165116130055255 0.717307615729391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0445574044916245 0.0553669284556497 0.00581009137815597 0.0498065638302704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0496814794143198 0.0577684698526173 0.00627069959237947 0.0202306838520687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.38924543519133 2.36107239380634 3118.21983383732 1870.60097718439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.606444288180635 0.208135065254578 260.491320340005 18.4477141389928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0360571072111703 0.0838856146328354 0.00703025714801272 0.957967466824177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568304378115322 0.066738963850012 0.0164776049990956 0.0330234539241931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.417593676257374 0.307626868714815 6.52433110975729 2.08916218165622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126193028315656 0.122653410431014 0.788317806897554 1.15006047043034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0531120726278179 0.0617205413085492 0.0313479374930074 0.141027105264019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0416793316397121 0.046090088674264 0.0107248899663722 0.0367824929373817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.2018035231573 0.526379964220473 0.349334670046766 52.2332041131071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0726988758336456 0.113599677749881 0.027693726468913 0.738246024864628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0563833386469571 0.0726517917770576 0.00935072346419679 0.0810426605020592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0578351746947665 0.0678655456583516 0.00906359303920193 0.0290258387574082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.83906274147247 0.400852184113626 2008.37933319837 18.6217814953881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0980911721989798 0.476190794039983 0.96048285706371 107.039151262921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.313826682145909 0.126733025750275 54.8941356999692 2.0732877592114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0657347878872338 0.0960559812252088 0.0256199340731557 0.276471297985555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.05875910801116 0.873171886568037 21.09209902037 6.20380020113546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.421314402562374 0.29476956271745 4.95721169545535 1.22450934306449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.208218058952494 0.15488415508899 1.35961477433781 0.360066841655244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122078246381581 0.109822531613674 0.344803587212839 0.123110546963208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.834532260186203 0.855084830890006 16.9537717561274 34.4696809628278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.257021703700973 0.256243676084319 1.97605188578146 2.15443705568377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.121559055946156 0.185913111057031 0.0758253594347944 1.07785692432515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0993207945693674 0.15028568237606 0.0298706045352208 0.401684799239392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.75038534126071 1.46996442412134 8.46026208484937 112.171650784983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.3446573718242 0.600173753472031 7.43026648217944 47.7912247555646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.305639395226986 0.241532687714175 10.209907405747 4.60552391510989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.166247652857421 0.166834522918883 0.466164118044324 0.622341340294364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.62892492272808 1.35438164374962 51.1765771134062 11.1866400990597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.692555502514667 0.499074965023537 20.3208877160079 3.27211302802052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357899695367405 0.314049236929275 4.85464395920266 2.33989083968351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211659651064021 0.232442674075034 1.26990951417419 1.5721429224046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.09846532424929 1.29816208506391 313.63186757577 47.8583417375197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.427364270187211 0.469811015518553 4.96477002402475 7.33049510183547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.209116238340327 0.282657314056593 0.582092294302185 2.32125618506699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.156830589050851 0.213234418175992 0.140321341718438 0.944398107378606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.38596280676157 3.67898997570864 7367.18069567587 1144.02454068164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.562514941577564 1.84881563930272 16.2797099713278 1578.35377268911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.397599945612439 0.392895392847193 6.94040139900711 9.77344277796915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.02883606313753 0.741583162484552 26454.2883565468 127.123378249883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.027166184428837 0.0311598330641447 0.00166884378117954 0.00486090443154621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0107095685114539 0.0153343690265685 0.0003345424406779 0.000734462470664098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00993993603122949 0.0165580526787449 0.000394406534796265 0.000527227009530962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.012867000058401 0.022251853109142 0.000719143786920436 0.000650332969231503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0268087397507735 0.0324684389400114 0.00216517448800972 0.00344703923575721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0234256710861676 0.0339626848828142 0.00137363233925073 0.00402644990532884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0281362867746116 0.0419945610965976 0.00126852388934215 0.00714713653128658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370161341928376 0.054292617693243 0.00167087434410473 0.0122098814526456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0173782115799413 0.0196177170195047 0.00114368663985038 0.00128399678777288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.010837299258844 0.0166460981628001 0.000539401410335113 0.000348778283203183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0212094756071456 0.0326316238854924 0.00214440937379515 0.00112599943815433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0361242015663288 0.0536237643362521 0.00610142976438159 0.00289241303947991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0359332071649953 0.040458961327947 0.00429218974418645 0.0079727504496628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0125787527612667 0.017838850515932 0.000483664740637347 0.00112645278916847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0105069672703649 0.0174651756744829 0.000433374525284474 0.000614325479610504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0130980551619169 0.022898343380766 0.000736626706705748 0.000708110920224828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.030559836721478 0.036267865740349 0.00312732300911514 0.00438002569989985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0240041528107141 0.0346422906409092 0.0014138249394301 0.00408647576926011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.028524216035002 0.042082801046357 0.0012786237788842 0.00712725252939539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0374261226663151 0.0544058006486308 0.00169927247045334 0.0122247814654302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0209112828359977 0.0230891466363763 0.00173794385488016 0.00187870482679523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0116323600836146 0.0171264643306901 0.000617140248907215 0.000392170588209359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0214486684953402 0.0327642809391161 0.00218554742777414 0.00113240881284344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0362536003304708 0.0536900453696627 0.00614364871884549 0.00289647639766843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0501566996921533 0.0536221202022864 0.015713391619513 0.0132900940015835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0164119688358567 0.0216268157959835 0.00121663744889808 0.00166453993792841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0119219365159383 0.0189741182014579 0.000569051767355173 0.000796517415958094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0136840016908543 0.0238799579169958 0.000795963776632438 0.000847292785819696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0386244265354039 0.0436079565097134 0.00629177122953707 0.00804274610656212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0255793396001771 0.0363266439556435 0.00164174579032038 0.00464809688871049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0293106889263153 0.0425629175142419 0.00135037995664572 0.00723744187172844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.038125881063335 0.0547246987840769 0.00177730367219709 0.0123343200467196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0279620768209317 0.0303348040472712 0.00363064493534635 0.00350391584694662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0129433771445497 0.0182788440629238 0.000783577775562273 0.000506962076747715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218383149128462 0.0332203258977905 0.00226603202801741 0.00115684479545792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0365253844037359 0.0540675498950847 0.00625124341658278 0.00290852672324059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0792708775890797 0.0872249910314412 0.0608760765385496 0.0367153589808906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0261767441020307 0.0312733396619157 0.0054258196978914 0.00355118583647089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0158339968581361 0.0228207462996577 0.00121645820856402 0.00140963702176309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0154025714908168 0.0263597944537989 0.00103722466765377 0.00136240524501243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.057522287023548 0.0622079886217932 0.0184166357320477 0.0222320604467907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0302301851004682 0.0406255457995643 0.00264052439171425 0.00675160182569413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0314606686073095 0.0439956340217463 0.00168511366736643 0.00764603587202632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0399294933548181 0.0559722407789748 0.00207848410349336 0.0128142141070755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0463406135472608 0.0480957013282105 0.0120389210203654 0.00990634826557581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0162147695680119 0.0215416034216531 0.00134406612231012 0.00108140490119721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0230496006472568 0.0347707786113 0.00256296973614692 0.00143797032985972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.037420121026771 0.0553901282060596 0.00669553441203207 0.00319160681777105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.209655273325017 0.242127121421511 0.43420505367486 0.320284160115823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0664440670019974 0.0763958755371176 0.0376904079548873 0.0251704642900208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0348608178171336 0.0436051319261583 0.00700368629524365 0.00762487781598313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0255832997750576 0.0379479086573502 0.00304442489579883 0.00583759392977808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.144295441328173 0.147479069853741 0.135559119957631 0.131060948104673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0560417968925896 0.0628398656294405 0.0145124125705646 0.0206548286695024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0450211117782882 0.0532569558938904 0.00554422189176156 0.0110300947688794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0493698075608646 0.0641690290224326 0.00448433252038064 0.0170848100015315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.127092405248022 0.129457725537964 0.116193580926455 0.079408003526762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0333390912971664 0.0394372113471376 0.00718782044989362 0.0084824442895499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0308818372692775 0.0447301277720049 0.0054547306800738 0.00739372930096194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0434504519786419 0.0637448072455392 0.011042349452009 0.0104063810852375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.348077262142067 0.398586163625117 1.06704576223842 0.916818585458211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.107280529558948 0.124206552792064 0.0882139618143879 0.0703331701892649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0545245132766724 0.0660960773328159 0.0161797694596454 0.0183719442479959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0375451900878394 0.0517196380762382 0.00643463534120944 0.0130952195593058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.236358631877505 0.242712038754027 0.399505241372246 0.299899112172188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.087227746953669 0.0883699737793885 0.0454013284280321 0.0381529851402423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0616089503095609 0.0655043117633596 0.0142253213694666 0.0170247661637918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.060899229475337 0.0743570528940424 0.00857468956556821 0.0236529696551318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.214133644690212 0.222223956334774 0.353658419455534 0.242985584321293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0582263486021127 0.0653013717588763 0.0291279691248278 0.0404744849894757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0472608940719023 0.0657964156135458 0.0248189179299699 0.0614309894148378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0534466713615573 0.0738278855786187 0.0189712447115242 0.0184945321977042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.064117332210289 0.0701510551705135 0.0171346776732628 0.0264287736899551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0207590309674002 0.0257491156929187 0.00148830452448279 0.0024333828395487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0136261230105592 0.0201129426592749 0.000705863544693746 0.00089319109341953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.014224673912097 0.0238823869850206 0.000844140498412735 0.000838106817980026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0488918771290047 0.0523583919088321 0.00922461727802737 0.0105415367455592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0277701637776782 0.0386078094856346 0.00208211728853198 0.00565687773866656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0294076935383187 0.0433749228714991 0.00144538761672065 0.00766050234349277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0373633413317298 0.0549824656641756 0.00173368574887397 0.0125914004214559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0392807514160413 0.0408587195431207 0.00693419413721852 0.0065687914887571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0140426954854266 0.0187841042183393 0.000885189692436314 0.000517512470991926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0220473751246173 0.0334986199881536 0.0023083175333386 0.00124280921002216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0366381506769903 0.0546273544953751 0.00628554653689753 0.00308597431937515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116276277815543 0.120873272233506 0.072239089432497 0.0742049482731531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0358987740474376 0.0408177792164626 0.00527613954153864 0.0066037075522074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0203406870099519 0.0265362653241365 0.00165444733565602 0.00191172052125924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0175603320097338 0.027061285118731 0.00128327202528171 0.00138089972109015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0813337390838322 0.0804508880116923 0.0309912775235299 0.0258355197857398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0365818883061047 0.046086706656451 0.0046427695884499 0.0085534122976884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0331492918139596 0.0459225900483869 0.0022221057735995 0.00870089794867043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0395156072360741 0.0566520702480895 0.00211344021758678 0.0134316316401046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0699429572420515 0.0721306304754044 0.0249470057656558 0.0225904666679034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0193661259122874 0.0236799026469737 0.00176019264844402 0.00108041293420624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0239319389006975 0.0352264295426751 0.00274734366687535 0.00155623396413537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.038182775281301 0.056192186542817 0.0068435580197975 0.00353002269581287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.228350020015696 0.225609065257211 0.36664717352639 0.229576171953751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0707639386251961 0.0728766479833509 0.0247978372406989 0.0208096648508965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0361599091992357 0.0411773022347553 0.00615799643226889 0.00581454121226808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0265688528597448 0.0355050579619596 0.00340026538888704 0.00359519303196084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.153993366780352 0.142686601893367 0.137266483451093 0.0847508669917794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0584548804541347 0.0648902472322538 0.0174440674944061 0.0180050293373578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0443736758460108 0.0533847961189177 0.00603877120749328 0.0120853142125753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0467434327832736 0.0619708939501269 0.00399629792608836 0.0161452551456181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.138195469010243 0.141594055508913 0.11151873012328 0.104741535647198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0324164831778877 0.0360436377426536 0.00597617401462367 0.00361827232247322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0304377263897489 0.0412975950504676 0.00528811471998572 0.00288587031562416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0440975286291447 0.0608707636861153 0.0101787567451595 0.00498982815242798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.809837628269404 0.731429312684399 11.9001680093904 4.17269225210069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.338713801446114 0.26951904950466 8.56355748246636 1.84813849226112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.201370265275564 0.168370149595787 5.97276398803858 1.56061763986027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122457015461371 0.115457531772104 2.0561997661913 0.570958654453622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.605970860466371 1.19423874088027 10.711471463637 205.818323124998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.17490503263898 0.21166095220065 0.462124136557792 1.0990890238497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.145876851332111 0.128983022020608 1.3153432041459 0.301087291740752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0975372829963902 0.106541415951478 0.154921657179143 0.073776019779454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.30026402920004 4.50155370365127 231.86176584458 4130.77560113713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.324236733052832 0.394973604602754 15.7201190491726 34.9632909048695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.29469494746436 0.210134417862235 15.3359519616835 2.74306169457749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0926451102344264 0.145678731911253 0.0938291654484112 0.532682250930398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.45545510111761 1.77444497241821 30.6773339981205 104.783099262601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.614763400871633 0.640519951725899 13.2185782884993 28.6788088918094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.393840989331639 0.299388849048213 6.70047935195516 3.54693155264591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.231136659825292 0.166783620058657 1.72764379746064 0.385473513752529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.97853954653056 1.5336904088393 160.053177067144 119.453362258764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.596382193640582 0.295046916543015 13.6698032109891 1.06986085499383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.287088110037748 0.187887807129959 2.01025716828808 0.673927205073517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.191498967133258 0.151354497778113 0.602687274978937 0.174820225303463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.95897229977742 3.71794636182252 2011.34564178444 1424.39386187997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.482697830742398 0.811097804292988 11.5710902485628 76.9161714326359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.327017545107358 0.471087570184561 4.71654785835474 31.2167904504649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.277487271708686 0.28113177892336 2.27019626110991 4.43551860177671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.035021914112886 0.0344495168585861 0.00289615204386479 0.00609599907738161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0179019816275235 0.0157672061797858 0.0010810199615303 0.000752352080815889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209878525445631 0.016910892352536 0.00190916831629682 0.000479981272246936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0301598525337933 0.0245563862026904 0.00411298956129836 0.000531986220719074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0386054807306702 0.0336109807277656 0.00455318632856153 0.00389277232655558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0422405800090854 0.0345239438803149 0.00493866678711125 0.00411792595554258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0511429606930056 0.038532000050891 0.00570986944032639 0.00589157735690888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0692587304448658 0.0526529946141852 0.0105354753161004 0.0106207564482929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0235676183864056 0.0237948674282224 0.00228138757261343 0.00209104955750997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0202839066681857 0.0170542527525368 0.00195310868528215 0.000351878441862308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0394291156902518 0.0341506757758322 0.00740885073768455 0.00108304928921167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0640364232261239 0.0550435904761319 0.0191604244895446 0.00288420735887967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0418275708964308 0.0423148035242438 0.00432963068893702 0.00855662805381801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0199121168223267 0.0176941969411049 0.00129467912841304 0.000951353462746645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0214477479435429 0.0173494254879367 0.0019693123077521 0.000521988493048624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0302792857844724 0.0247539095644636 0.00414716853581871 0.000555230853463367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0429557805127604 0.0363647324746368 0.00633170155296161 0.00446594835802039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0434585237829366 0.034979015226075 0.00538145204970792 0.00415727610846072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0514658065769726 0.0386201881546522 0.00577253606200124 0.00590401928513903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0690663678862817 0.0527267190730062 0.0105364626505806 0.0106312528286972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0292552919548332 0.0307853198781396 0.00440716411730095 0.0055611927111858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0212073978299117 0.0176389605848669 0.00215345401594818 0.000377023831555358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0396774633784338 0.0342533247209215 0.00749128567231915 0.00108727568526642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0640399954897759 0.0550668771212907 0.0191832864406583 0.00288475571299006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0528241872362077 0.0549850398050334 0.00850469465646689 0.0167635026599329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0231793876431203 0.0209300033186826 0.00180673774803581 0.00144523022636151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0225870753680598 0.0184735307348917 0.00215318154593832 0.000625568077107648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0307346446098729 0.025121095333418 0.00424184892344194 0.000608208989207335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0501559030913055 0.04342495593737 0.0112537472931451 0.00818409611717317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0451373829253012 0.0366570942994788 0.00639746768002987 0.00446127714423567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0523903602508454 0.0389442649033751 0.00610110742965208 0.00597645958684122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0693520737195994 0.053078356128603 0.0106350007362595 0.0107232157762979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0373008186578463 0.044419404442039 0.00871396911096477 0.0276119828802797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0228028878582145 0.0186862450185251 0.00275738886082607 0.000442006412246745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0402718854777651 0.0344548246103858 0.00769978446565278 0.00109866267677666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0642528005462501 0.0551600038458881 0.0193294988526778 0.00289225957076807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0804702849501183 0.0869465491784243 0.0283211693913525 0.0898008213006378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0309564897180857 0.0303817709122449 0.00354416022901493 0.00638529874200594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0257504502315496 0.0225716641231058 0.0027817998257459 0.00177556680604042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0323673396239603 0.0272310169966765 0.00464754025532522 0.00115698861060431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0699096167069456 0.0648068295759373 0.0458499156851475 0.0510637284038528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0496479825975515 0.0431161436241901 0.00904724711044268 0.0113568754398227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0544952396488149 0.0415768597321692 0.00703783390620285 0.00728805013842724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0702380158897507 0.0543836073256797 0.0108672128997457 0.0112748134916939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0605054793742854 0.0872339843140766 0.0380308198069561 0.28909953213928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0294878526494759 0.0218055410231748 0.011669264252663 0.000746889590954384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0436017354900121 0.0351996703141076 0.0106244776321239 0.00114909709452341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0674003346017716 0.0555024805629953 0.0231405520974895 0.00291508698821821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.208322412487153 0.254494979217942 0.281668404090063 1.73613209545146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0741686530391859 0.0789909176281147 0.0451112101077296 0.0817893857207114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0442864167989945 0.0416709410028432 0.0169882094236261 0.0105851628573909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0442285315771929 0.0352659313622211 0.0146211337181026 0.00243575216337238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.156137874056916 0.199509841228319 0.364165033840036 1.80866555196932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0757276449810213 0.0925454788689453 0.0575396931139612 0.366900598937959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.066677615336155 0.0597760442122357 0.0230023067407917 0.0363589365716228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0761575919843808 0.0626262111388764 0.0135790768404301 0.017553978306586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.176450674794734 0.229701597574207 0.914934659126902 2.5670090209599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0440807784708364 0.0505498677837805 0.018747161922813 0.0643194802578336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0539806661565552 0.0571137385539496 0.0267512553539462 0.120512073290514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777964640088718 0.0656084322141903 0.0443298660197025 0.0191231585824023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.345979181772909 0.464247723999283 0.786638512165727 7.07421892042857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.115891090013738 0.187111353913169 0.0863472017462722 2.65522407380936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0632317652409748 0.108534002697173 0.0239365035519839 1.29672479155183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0527672518283035 0.0819787962182555 0.0144123749315604 0.712233284873178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.237608060385657 0.849945671204448 0.482510172802039 178.163133969243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0966260621131243 0.20560877452117 0.0537387784317271 4.74639914390895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0763593314328755 0.104183954646567 0.0201659533952048 0.588701020078717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0848256347201103 0.073611598885616 0.021337458658186 0.0290179330755846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.344796651649454 1.01361663977275 8.2662090688363 449.821752654103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0661130252190984 0.204833001459436 0.043481333051571 10.2244281450552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0627224625373574 0.119848101476164 0.0303420005324356 1.71301667708002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0954268164323478 0.147068301232093 0.156499696840878 1.54416160403552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0812951562836234 0.0817116231891703 0.0591063934835578 0.0424608538471912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0315968592320888 0.028593287085316 0.00895792326915316 0.00351201384445816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0251427564895741 0.0219505039444503 0.00319257642922439 0.00106625309262572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0313954459918033 0.0269656000861326 0.00445304782382369 0.000814289356419394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0670121876141958 0.0621732080646119 0.0354490323927369 0.0201223322707251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0489292853166374 0.0414394664891153 0.00828594866155699 0.00606077854917892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0544477032298874 0.0403793593356652 0.00742056301103057 0.00636821576967293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0707036905792558 0.0542641239832781 0.0114934473854077 0.011117321184561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0533063375131957 0.0619131951701505 0.0202090855657097 0.0351839944371351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0268154219306269 0.0210662818983127 0.00490723645584158 0.000664608770880255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.041883775463718 0.0353566315750707 0.00905488079780418 0.00122633209677366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0659067683928915 0.0562702602247322 0.0213085863976729 0.00312928578968547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.145105873821902 0.144630886932035 0.252262765722417 0.158995522574379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0504254505946625 0.0473072838284813 0.0320211968896786 0.0123332987920642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0318011113344822 0.0302722196229022 0.00600465466622296 0.00300930740823892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0347589699581779 0.0317233381405393 0.00534885230414677 0.00182571722823654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.11146579229671 0.103266942714343 0.158366905609701 0.0706805471392831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0582204511366681 0.0554872660191265 0.016047532202157 0.0168158151523649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0596674282925421 0.0451036754948325 0.0108447648095434 0.00813802442458139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0731333398342141 0.0567403573789042 0.0132320844062572 0.0121447507368012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0975752343729035 0.121621295534202 0.0859462767606457 0.219709845907262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0394686017984358 0.0278626044957969 0.0224928142387188 0.00173650301299022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0504160062313717 0.0384136281741411 0.0265860318777393 0.00196649307631851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0710624811012113 0.0585545061329383 0.0288967047758997 0.00360861596363449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.297683666608244 0.306789466018666 1.22310474420583 1.70922760484228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.093430635813665 0.108983874715929 0.123730314442931 0.313711340150059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0491431768663855 0.0671909206636153 0.0146602765583915 0.142487603670355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0442738395335802 0.0569361499775835 0.00974537172498277 0.086356736240166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.239048233519901 0.216385659506098 1.3912069746158 1.01029317311986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0853927494866757 0.102396689193968 0.0741279053394798 0.224484663384766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0713711410854693 0.0705099248808349 0.02169656448998 0.076556183132782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0790935366469315 0.0775151369446497 0.0163760434372164 0.0733001908291981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.233334312486433 0.318255815533318 0.901741846947718 4.07491878022587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.118317677156511 0.0475762885617433 0.94689228215465 0.00962157120584164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.104018944496667 0.129275274635893 0.579326665157393 5.3778824427307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0964629050039161 0.0796716847364608 0.184560191729457 0.0432252481917577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.84801900053581 0.853640840031237 782.669572700062 8.30705043841959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.621635215545213 0.310376905309917 66.5498492368674 2.08098014155511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.330813132888423 0.183729742532696 18.853473323064 1.08247730088873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.19802947609836 0.129133839925154 4.38623262610113 0.556617627944063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.29975465732992 1.14600437003202 1186.45409952943 100.974836467515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.478740483535793 0.41039850059147 46.6591152824319 11.3039903495158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.216032077350322 0.160301057612318 4.29465827851641 0.763949705913779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.127328482505146 0.137578428954019 0.0895563225088626 0.435330905867996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.38478822496609 2.38788319391063 15692.8826339669 902.846729865396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.44819469083896 0.642399568210817 1219.67737450769 36.7088342944584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.217334556345495 0.297247561654171 8.97869510345843 5.17560104122054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.261803318833039 0.253251846925682 12.6777841936643 4.26456484444621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.3891092096208 1.72411621441518 20.2305569588945 132.939864371228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.622261299628736 0.550220130109981 10.4080086531582 5.87733700665474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.361780880287377 0.288152948298216 4.71148602593116 1.55750478247398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.251686420347272 0.190642565093903 2.26441675267037 0.823748314734764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.58181534027133 1.67006130204277 89.6965076643157 130.422099912747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.509896710360198 0.433586143995316 7.57625484742142 5.15052358666188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.270697974186847 0.221836286581085 1.75931100923025 0.947524717580748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.196610433214838 0.163384317032768 0.571184167905927 0.202867051104748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.28601979919656 3.98729236832949 3440.61032181516 876.199976929612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.864810878944358 1.53144703152404 109.658823027972 556.355948254227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.453059756161483 0.433868094539562 40.3494161320331 7.17962197981094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204049624566591 0.227837670701977 0.549555810250566 1.40368306706255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0437524194511291 0.0457136226466413 0.00469619250306021 0.0115154515386137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0207696003619378 0.0240979697469856 0.00140571689815557 0.00167530427959703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.024509852300744 0.0320081316238983 0.00276075768516973 0.00150740907405372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0335391969490935 0.0462607646724353 0.0051156089309088 0.00195664172524711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0400719650716912 0.0487338551609571 0.00513374710308166 0.00831002388949538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0431029899998131 0.0533993546059663 0.00489997113077557 0.0109724306430728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0604761837814403 0.0639119443348203 0.00709668654037516 0.017812221010756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0833894060866399 0.0877296318784138 0.0109218268120023 0.0351021062146894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0288647850102473 0.0308951045693264 0.003187171466761 0.00322378764199884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0249461434990226 0.0365490880081374 0.00327301601011889 0.00290298635735365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0580632261482899 0.0832053755290022 0.0198103497451967 0.0161823998445277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115376234119946 0.161950341326984 0.153978434344119 0.20558327337551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0520938224859928 0.0506567572755482 0.00657802791999599 0.0132267828248287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0227327682668683 0.025449029350427 0.00164980643334566 0.0018321387461143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0248857001417987 0.0322478594258645 0.00283814334425702 0.00153579818381737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0336379382041762 0.0462251357114727 0.00515445146689969 0.00197507750204492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0433593006566509 0.0506032225677496 0.00571156878377664 0.0089191441125924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0432168293150181 0.0526562373702635 0.00490297545020583 0.0106773832901275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0603287690277757 0.0633293376050658 0.00708982101454459 0.0175347400318186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0832872415759822 0.0873862132372438 0.0109672750420342 0.0347928335115213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0321923255793793 0.0348727102241514 0.00388225699207713 0.00402351623521038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0254433514896793 0.0368003688470331 0.00334088044507844 0.00288374854898386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0579490523187642 0.0829463233296059 0.0196712076886089 0.0159466071724413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115906059449046 0.162260434490485 0.156073892711387 0.206161987684533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0655596307146817 0.0613513889391251 0.0119320964170391 0.0180705757013489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0264858164158684 0.0282122572034024 0.00225905648217883 0.00227457033546097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0260264156932171 0.0330209742717243 0.00305056514549895 0.00163556733219585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0339336444155666 0.0463619609772096 0.00524286023600241 0.00202246847633315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0499182843742813 0.056221581319138 0.0075599816214641 0.0111247028078275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0442313042335457 0.0525950166212389 0.00510629699247017 0.0106251249230647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0602726512681105 0.0631861448426121 0.00715129389843078 0.0174248652414198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0832687986649303 0.0873463100761717 0.0110487993690739 0.0346434117048327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0389060562840645 0.0413556384395879 0.00577580097269447 0.00624800829502314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0266331566946006 0.0374798289940028 0.00356322631658292 0.00297124713732356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0580215490132151 0.0828352911151397 0.0196131922368821 0.0157404871823804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.116722117058646 0.162901709796831 0.159675247422376 0.20876391981452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0965418729934445 0.0863738977992759 0.0341100905983228 0.0340262745282725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0361076625335192 0.0357397777779575 0.00453447138951579 0.00390487481535032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.02968002086184 0.0355616862628782 0.00381881226169111 0.00204042800703078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0352977374375067 0.0472945937380655 0.00559708763198204 0.00220740039997449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0664274334421424 0.0716758691797101 0.0145234345865396 0.0198719730425957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0484456019035515 0.054956016524255 0.00610692745411182 0.0113423352810069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0615415991272386 0.0634281273765563 0.00754493321006277 0.0175647911663096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0837281494675243 0.0875308183119368 0.0113344947533532 0.0346415947658878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.055975386949734 0.056915950930241 0.0129090117919742 0.0139210386480045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.030087192683561 0.0398537402228453 0.00439964878483374 0.00353164914248145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0585742653597685 0.082915601956018 0.0197078877540573 0.015403943601592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.119335692184421 0.165297709648937 0.172519630576897 0.220794149917607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.236563950534283 0.220732041176767 0.345977182720009 0.206906141788032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.082084303986402 0.0740517990716027 0.0289552894420752 0.0190188000143632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0503306037885519 0.052330639466386 0.0108293431739775 0.00652350995302855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0455922019532613 0.0556584323476014 0.00905261857994936 0.00452473082882413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.149924708998494 0.156013920442426 0.0910027017775485 0.115153144821312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0721954726304197 0.077973163655157 0.0157215576418688 0.0260484267981928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0734972893452645 0.0748519015772058 0.0119652761237898 0.0254655963664911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.090489936549671 0.0931309887377612 0.014324572839008 0.0396494668058919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.142229448921243 0.138503821456095 0.116553363672141 0.0956481297422711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.052035594639482 0.0589336111825345 0.0203517813405897 0.0208216506202833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0663793520720137 0.0881681661119594 0.0254941319421575 0.0153883079840998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.170482491211245 0.218392335683218 0.950523514108642 1.11862568608853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.39901124852458 0.382858976975801 1.24613101212687 0.629275479539289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130465929628039 0.122997567119939 0.0800315442566616 0.0692745495809393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.073935658575456 0.0809218656209241 0.0248896220901258 0.0459830665960805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.058648330092775 0.0743141581579441 0.0153765375955823 0.028760726412388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.242817523928533 0.268417899783295 0.282733988542087 0.437214034937525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.104587962848364 0.119105825507801 0.0482986216697606 0.153819965201559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0908238550550608 0.09796745943914 0.0227735661134612 0.0782008325788575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.101150640796686 0.108741811760341 0.0205278068365249 0.066958433362891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.274860616878593 0.25735178339144 1.61786511122536 0.50410613258003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10913015295255 0.0892395576912898 0.536972650313813 0.100996007546515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0863940488621493 0.117102426715564 0.0795905483721296 0.103458222782006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.252560183901914 0.29212036475641 6.24968167939334 3.20786890821022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0854913235889912 0.0851308484209487 0.0247091687502111 0.0379868114133845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0328049008713286 0.0343605318803105 0.00365109606653784 0.00397256086630979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0281659360132887 0.0356712728324805 0.00336139806228509 0.00214887947553786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0339607644089732 0.0476522462347083 0.00509509722843414 0.00227560423095779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0638756761730738 0.0703860615539112 0.0155863329004978 0.0212725876134312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0485576239963218 0.0586625705344174 0.00645417388860476 0.0142361321766379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0626257737697563 0.0662225748431845 0.0076995567115233 0.0191834216846584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0843694830913519 0.090033232772557 0.0112047042659169 0.0366927164591849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0529837222212158 0.0697056534071186 0.0115885081981333 0.142390631061639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0287586610031574 0.0438270460520633 0.00403016345428711 0.00749302727277602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0589499725296086 0.0853759906681735 0.0203842625641189 0.016798088580082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117736267300833 0.166228961817249 0.193870144132311 0.316288927163058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.143717213995247 0.144677921080767 0.104621489337965 0.136920243995431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0501866514776703 0.0517537275324694 0.00973851929052477 0.0113170829891984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0352529201558219 0.0434285493332063 0.00521912731581586 0.0060673817089138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0370831792489676 0.0521761475167662 0.00584614478586415 0.00553851291147055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.102471717404081 0.104345218823404 0.0739664910955923 0.0662780254689132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0586581714300552 0.0668023143285765 0.0129189678192365 0.0212586889617403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.067403881345032 0.0710486015482923 0.009833531404974 0.0231062409076599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0865367642903141 0.0943415168299185 0.012156422108457 0.0411823709992953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.093160206655023 0.105146177645244 0.0493070396900624 0.0927050406851359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0352941841514209 0.0513272811153305 0.00635814951668737 0.0136205012437979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0620137411220932 0.0929925996785032 0.0226969669682432 0.0249008817644805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.374185997752039 0.518748791908257 54.6942445349361 102.077613921857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.346918519991274 0.318040122370008 8.12011129480824 2.41839012271069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.10775072560114 0.133013175926005 0.419653365312931 1.51550030441241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0640826527132548 0.0764765584525711 0.100354902407793 0.280054648882921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0528483690581715 0.062728513376517 0.0280655255979179 0.0192307157509039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.430256518234049 0.266861138201052 51.0634020781894 5.58229497433384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.089775952820671 0.0971179789871379 0.080216132333532 0.120363432340987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.091891705982184 0.0798900364597624 0.104881316329473 0.0288654403889441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.100725500159913 0.100323144037992 0.0454703389759044 0.0469984139795544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.813873316505256 0.233600167379246 138.899509947956 1.17132452799268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.172255351508819 0.0710553105456706 10.573612534706 0.056942245219896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0966212244397061 0.111261028937872 0.315875127174138 0.0875688844752857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.202476674834772 0.224297920553371 4.75949501098095 3.31362055993057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.856513333832757 0.971125720777743 9.38171063949808 11.1596138059156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.27570609529312 0.287659728085615 0.736014561291789 0.510271289236085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.157446734609399 0.155075241548708 0.208259049062857 0.122286187882741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.117272594896119 0.122457834357963 0.112725827743008 0.0712067813445073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.720244006721572 0.8275443269736 11.7563874537073 15.5568184499311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245654289815032 0.230425158701313 1.10732531194641 0.802966976300815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.149726308791391 0.146667849237987 0.14759015992958 0.177285488661379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.136202120424244 0.146319017402795 0.060776514057896 0.114447209353891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.8644105578746 2.40833748899219 345987.779666234 1958.76612481714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.36975615719165 0.68302037816232 10.5635081755517 86.0628973773217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.268541707638164 0.216498920197814 10.560459069055 0.472575904575578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.232175054863752 0.341408308416774 2.72071550184344 5.28772468465755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44423785423448 1.66440700601807 31.3267849637369 37.1282368008286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.525632312553224 0.664831902588504 4.78154512563532 9.04375677344136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.294483565222207 0.328036577904029 1.57110874687686 1.83982575711977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207555291211724 0.216316338220533 0.689323189944996 0.480505517319343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45235296096034 1.50901497908269 72.3655554600292 54.817994515707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.53852163185989 0.417305585903028 20.1192774904412 2.79126835498581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.240852524906596 0.242670097530356 0.649068520965052 0.441768226579173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.199734683604712 0.202581124051901 0.290158956683287 0.193786973615519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 230.082215580224 5.14376126255463 39819478.0519096 8202.35122520297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 92.8215488636381 28.839250175524 6571958.9561354 609515.459134762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.458697283452725 0.491525957452816 7.2998252919828 9.25883814002911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.370103264287656 0.322335353036709 4.88835351759553 0.937289114391086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0291989407314271 0.015352904813287 0.00265734618914422 0.0012774301774843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0205798243893339 0.00543224984756723 0.00165467610658106 0.000123148198510899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0309803618549482 0.00486434286705895 0.00432645196630867 5.97076603167849E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0486838109624477 0.00671010496238531 0.0106834620862082 8.38486867403175E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0366492939033737 0.0132454804917896 0.00435034111094741 0.000569278951624489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0467495369633717 0.011057515141859 0.00632371312910304 0.000466840316293712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0552498521159424 0.015280756031977 0.00855163729471408 0.00099012691111113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0717002753822155 0.0227700426948503 0.0165096149059046 0.002380876162232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0201206375416172 0.0106221869553274 0.00232681403328705 0.00043840877070835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0294438350884212 0.00531944304001095 0.00410678151516908 3.66136051597475E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0643570348012593 0.0103250973590497 0.01986577227237 0.000161141541622024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109456132791444 0.0184859159786696 0.0561481135353657 0.000627491202035901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0412835531682644 0.0262843011794823 0.00636701478748119 0.00511875385756148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0228224783548632 0.00849278951276731 0.00214738690630878 0.000368800180829821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0316773794437774 0.0058230109856572 0.00458271203405603 9.798066206546E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0490997650785658 0.00706348732905345 0.0109046861855477 9.69306405721272E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0409264913839161 0.0184169573378978 0.00569212892369096 0.00136137068805291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0473484982477605 0.0119535546164196 0.00667122636291689 0.000529266749965903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0555936863760189 0.0154878510734631 0.00882555154495174 0.00101667843602679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0722845752372214 0.0228870838937702 0.0168578723575779 0.00240194882416751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0250513958594635 0.0146988602463575 0.00300387605744742 0.00083258453243037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0294497412633996 0.00612212763410836 0.00410711441828744 5.6529403618224E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0646424952323152 0.0105028371130454 0.020052397603051 0.000169878401764164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109858996048862 0.0185992054178046 0.0565963421918084 0.000624548549661928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0592201051693363 0.0415514996358297 0.0190650250053857 0.0156041681362905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0269231297273218 0.0128694993065523 0.00342299480845003 0.000992473939690018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0329882614519024 0.00741922783725676 0.00506860822314085 0.000202135720456154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0496903326077492 0.00782833744744489 0.0112216545243638 0.000141147433290871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0494088016115408 0.026071325090347 0.00980769565603662 0.0034429273640129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0486858233449494 0.0136679433597435 0.00739711320265221 0.000703875115765851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0563277800603048 0.0159518300459508 0.00926413465045462 0.00107704620303666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0728170649407034 0.0232082275734178 0.0171911269984454 0.00246205044699011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0336248597093587 0.0219933923274589 0.00533213526308675 0.00194970339664581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0301242220198109 0.00751282459539661 0.00427167416736519 0.000112167123923142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0652396191930504 0.0108617347029314 0.0204451417735677 0.000190549578339584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.11050640751275 0.0187510298540941 0.0573905107972602 0.000626588917724973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.101327194475281 0.0763531208647552 0.08972019156128 0.0568209371581553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0386881865802898 0.022582557021484 0.010220300972955 0.00332761756933918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0366639782456039 0.0112695354773504 0.00710236575565843 0.000583618997564318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0513023295043216 0.00988260398972159 0.0121916991855195 0.000317882546266837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0723377930197635 0.044762145411179 0.0316376168169573 0.0148740930148925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0531932338546777 0.0181749054987287 0.0106270184883064 0.00138048271751155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0582236308671548 0.0174452231687348 0.0105474698314736 0.00131247044297654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0741653673442243 0.0241399158146149 0.0179624999007336 0.00267685513488501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0547407966394872 0.0385977754671627 0.0154631916448696 0.00696113274672144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0328833154731303 0.0109353316049809 0.00511060247406252 0.000351385392633652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0675542071086981 0.0118561290262804 0.0225678358024741 0.000275015901331471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.114688249463308 0.0193757670037835 0.0700933560474501 0.000766059842912394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.357681282348167 0.235396108746265 7.24227767888251 0.540328741868229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141809598545732 0.0651498536144145 1.94917394202679 0.0290546046059846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0819238173560935 0.0305491098892891 0.398432625407597 0.00512084626216463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0715911958795094 0.0213700483498453 0.0901859730900282 0.00251888486743918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.226210488127558 0.166678176138592 2.58091629183322 2.00747441733013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101980186181584 0.0402610663781021 0.323928683915328 0.0076500159773018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0771675137343413 0.0267481311400239 0.0616015050675868 0.00395153900742354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0855022217587891 0.030591135130616 0.0330362496705236 0.00559187851791266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.202588001697985 0.141423054929304 2.20583812380929 1.08242181734468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0794318095599705 0.0352004404063811 0.749969916679392 0.0306785080418971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0954992672639248 0.0178460714684246 0.245480029378002 0.00134502656923018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.128164449075826 0.0219115471755432 0.136400698856587 0.0014264603798211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.439301070727992 0.401451278848675 1.66406914568058 1.31188172477991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.145681172962067 0.108454284078355 0.169633823110158 0.0728977546573762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0828418586257667 0.0513579569287675 0.0467931384425137 0.0144769215027762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0746140519227389 0.0351557916139294 0.030069956190766 0.00911655106360919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.295520739677114 0.217832315889885 0.747026629773782 0.306315712846583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110889134141848 0.0671952580540405 0.0680647568390995 0.0247544925347959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.083630563895888 0.04017441708223 0.0302409044038032 0.0169885971381691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0933005137180058 0.0393624437970165 0.0326925607092783 0.0174686897037288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.266845547954655 0.191025550103732 0.502540474976085 0.193951914373958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0804515188360558 0.0480264213557264 0.0718478518918859 0.0168936633115966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.100359233692576 0.0273738160664688 0.117686794558376 0.00959526188050366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.134670137057769 0.0302988076758244 0.121632024740362 0.0118198761149431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0863696277498973 0.32305238583116 0.0669095993211482 30.4086237602739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0350718045488879 0.145494993960998 0.00871502554024611 6.56539045233833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0349432562895484 0.0549687726765234 0.00600331939073601 0.830158185249457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0498595112245272 0.0271649716063439 0.0113234694757216 0.137133585274102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.125201926353406 0.11566301504146 2.89097592255367 5.04636365251941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.053774883558912 0.0496114549579931 0.0116251298268837 0.467138586476354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0594409227643627 0.0283915415565085 0.0119285507193335 0.0536272453027899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0734308766054815 0.0296649070001317 0.0177739883572156 0.0163449837827877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.362603199304044 0.14926209941043 85.6540440591661 10.7185585214925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0342085326941069 0.122442397759459 0.0102108534747918 5.0219182181574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0657424950186604 0.0632090506940986 0.0207677215555754 1.13882375910513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.110467854079981 0.0448604254820422 0.0577134231332716 0.282611631865133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.149924563289447 0.156030405739486 0.199309240045109 1.75309110937833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.053561693121952 0.0550844113795033 0.0237659911639819 0.331852155437408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0415058788715223 0.0284740849420797 0.00884879659163037 0.0941838152255041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0527453153181353 0.0206078289880991 0.012457372375509 0.0376539511398203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.135016549842031 0.0654471256786118 0.703661075636952 0.0277092854948315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0618276107258282 0.0273374440098951 0.0186421918538117 0.00731284245677139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0623555431405244 0.0237111706156974 0.0121435046247279 0.00480748755476702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0752127773409237 0.029172304582973 0.0182735682263811 0.00618920101231427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0751020218611594 0.0719696383927172 0.0312011166499633 0.0633082019190283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0394800951362242 0.018397331778132 0.00928523292941095 0.00502221668141204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0708289655738885 0.0178251866704182 0.0282233843091816 0.00627774593536696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.116138059056696 0.0241945795457618 0.0740623305143301 0.00643213987799741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.281913445270155 0.275501342620659 0.612038160216069 3.78352557173499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.098046940181358 0.126598158987313 0.131202566455999 3.07162847177317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0660241081557054 0.0857145013741629 0.0961650761231903 2.37843715122227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0687167079426655 0.0583867165251213 0.0644496000830675 1.04188118374633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.294402257299097 0.385190383383584 11.1909493351765 53.4058919952858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.118591567534452 0.0787995956336524 1.43308828474555 0.79260584064418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0828565404559846 0.0336827110955209 0.133719140002175 0.0114545667971926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.089885780774334 0.033251059008337 0.05927453218624 0.00611790436059638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.58621922475923 0.299191737366707 8200.53225891415 17.7244556649523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.06444451041087 0.130698036063779 475.135789434192 8.05149367335742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.532262786756733 0.0624826946286442 82.7538041606466 1.05469030026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.214309362847194 0.0260435081929801 4.18845011527852 0.00534843003109416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.989186089395763 0.789303387966458 25.8909521313147 7.23018391738617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.302776695827794 0.354495056448411 1.85164852034998 6.27164596495243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.159259158835809 0.230036518317075 0.425026529114574 4.1527507992464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.1143224354914 0.145661802277153 0.114301428587109 1.36993071707125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.98526618074365 1.08220076970469 125.718489439328 107.931581618268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.298398088603348 0.274979316190198 9.50948070919067 4.3335726465008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.134722839833056 0.144759348087345 0.194918273711287 0.922154354783587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.125873671693667 0.0940798586644087 0.102706726593879 0.205351264907784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.35561851571598 1.45285370282795 270.86904881639 230.558617787952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.911960866915854 0.192270646360535 155.086350474103 4.9859775345983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.57832268256159 20.2680279698396 100.763323450131 336003.57007007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.265593214472825 0.10226991753742 3.03147732923601 0.686803570372052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.5043869003919 1.47812386298603 31.707693724733 30.1800907635719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.589077481400965 0.545688542288743 9.68469721912864 5.30524781418478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.338097070823521 0.296423489908197 4.04176732729069 1.68767098878529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.240449879299119 0.204983495089088 1.89702215048619 0.740616721612598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.40139923193204 1.29544756787933 43.5148909064482 53.8281495898881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.515155006382859 0.384548959982968 8.60473609439981 2.392474621466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.270305033627428 0.207780310686897 1.63741565019863 0.587732787813285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.196076440703696 0.147399526946384 0.383938344258044 0.213736744119655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.87401544185788 1.82114247138873 109.245723485234 448.391940911421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 565.847209907154 55.1930199909292 265152221.112805 2424172.1330605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.754947718025546 1.05392161687988 71.0198534744299 570.762140639269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.361757001727667 0.184753698850037 2.35230020268805 1.48931309050844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.65482376563575E-05 3.48338269226191E-05 3.33776228049165E-08 1.97393862167277E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000316264650225483 0.000110106923882325 4.37588589249615E-07 2.22624972141541E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00067718708888003 0.000231781111720469 2.00360242879171E-06 9.98718727189795E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00128681186894387 0.000514353256772218 7.62599923113429E-06 9.37710492735205E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000253260431987629 0.000139129265074055 2.4552790254776E-07 4.83014224344428E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00102995808635111 0.000637710045062213 3.97727908710283E-06 7.53659477375832E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00224781896135962 0.00141795220325574 1.89340320102556E-05 3.47651826120014E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0043489783390642 0.00278452371528769 7.44983902977173E-05 1.81871846579505E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000345991644777856 0.000841347831912779 3.58562031790578E-07 3.033195444744E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000541434044480355 0.000594350601826534 1.32812006046676E-06 1.45780760478145E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0013462038884299 0.000782838244325248 7.6675046249842E-06 2.4578778362075E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00267459506599972 0.00140708128579055 2.73588567800833E-05 8.68266998751819E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0393986535606432 0.0367666148835706 0.00427168302092309 0.00368346697773976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.016291156663153 0.0153826058940923 0.000717930180268641 0.000661249743027366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00915442682931217 0.00873508406844893 0.000234333967780471 0.000213367224604151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00610708380647059 0.00577102276997298 0.000112422474697951 9.33102944025434E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0224443870454657 0.0239546074818468 0.00142687615298501 0.0015962472779173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00636359114134137 0.00666197543880122 0.000119648261703579 0.00012178016280538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00360008017802921 0.00340849374941817 4.58165188319262E-05 2.83563321321116E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00458315159510534 0.00330578121680241 8.29623373733518E-05 2.67728266031485E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0216954341886416 0.0202679392887159 0.00129698079404871 0.00119305461583501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00623238563788882 0.00613189936430084 0.000110182534226596 0.000114052135713915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0033975164263511 0.00327115951894591 3.64819465814416E-05 3.35897776878126E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00335813926517372 0.00261169501965704 3.91385283889222E-05 2.28119376142879E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0776729124047292 0.0745176882880449 0.0172573333998091 0.0143134873291052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0325172287143892 0.030805885964185 0.00288139637276957 0.00260897138960868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0182675368371928 0.0174678445720009 0.000915591028544431 0.00084848319711812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0119716078367443 0.0114738883690115 0.00040770855749917 0.000368067533195235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0445870850758936 0.0481828973874686 0.00576492306199527 0.00623939733934092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0126323414485602 0.0132738797154774 0.000457512527876138 0.000486481733827275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00625497719436932 0.00637581583918848 0.000125118300973029 0.000106145216775698 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00544683990637834 0.00464064079725991 0.000112081770431719 5.39042974164413E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0431817789264568 0.0407044906192353 0.00525288404482673 0.0045977876786602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0123968877174408 0.0122007071648781 0.00043013315647356 0.000436493290731381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00621924503907153 0.0063133597975494 0.000115560442375824 0.000120095641062564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00468962102173757 0.00443390637315606 7.13021685169187E-05 6.10551874147123E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150195706427709 0.153772645316564 0.0703327128868588 0.0549214899966123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0644828804865408 0.0621116083182497 0.011609681257313 0.0102193907909213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.036434307180745 0.0350018282696617 0.00364750086985404 0.00334842218787338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0237984249786561 0.0229257589018033 0.00157212144234138 0.00145483732206992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0876124120093107 0.0978601456675377 0.023482444801084 0.0241493472105017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0251711435522574 0.0265647057990598 0.00180509582745709 0.00193077515545649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0120307594183432 0.0125079103804957 0.000431235335410322 0.000420923095589283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0082482145692119 0.00792870848721493 0.00023027909879266 0.000163820128037833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0847436197836569 0.0829727153522254 0.0211845326178327 0.0177558154930401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0247257893408563 0.0243955800821058 0.00171534205224224 0.0016923272661413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0121069620576009 0.0125052761694555 0.00042474604486936 0.000455165822711588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00790463174442777 0.00831708767198268 0.000193119718638543 0.000206535219237739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.445071619450705 0.473923007440438 0.742483174405618 0.426901264211357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.185044722434452 0.194091215109459 0.107316578381554 0.0869983213976523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.106549804470097 0.107540272464137 0.0328530284612335 0.0291604935656554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0704189634064062 0.0695300130103529 0.0139573812137243 0.0127171033634958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.26058381465929 0.295679557747593 0.244738962275145 0.187969865383768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0739344378899228 0.081264673188239 0.0161434153056106 0.0169550628771068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0355242555728291 0.0374617100242102 0.00362848559247264 0.00375142045276787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0218592269017779 0.0223659950951094 0.00143699284481519 0.00134024316386653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.245728776544788 0.257263410628249 0.209826594212182 0.142816583842469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0727583289210368 0.074498190952791 0.0155481689936728 0.0144836093928093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358794718545412 0.037558326845136 0.00374375954274063 0.00386249987619553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0221380043724688 0.0244177237623545 0.00147067518229099 0.0016832296345746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.754066722728067 0.791680943560756 2.25975482632193 1.10054716814483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.304619313037782 0.327538338740334 0.316567001238938 0.227525883201082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.173506748084571 0.182927531636398 0.0926448843507918 0.0788604747670207 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.115179308779166 0.11783343930667 0.0386718326156505 0.0347231950825193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.442116625941058 0.486801406933565 0.759453851051161 0.471383404320236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.121167718453469 0.137820811253363 0.0456134221804129 0.0462431258522518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0586363228237756 0.0630740462236685 0.00998291897573863 0.010341737203368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0359752916520111 0.0372706947124991 0.00382488938422016 0.00367544467207333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.411077128657311 0.428742828036884 0.639041736548692 0.362888775491204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119219017376937 0.126180903698477 0.0441798069459378 0.0388520518527121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0593110226581218 0.0630934298473668 0.0105192730740278 0.0104104317095691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0365980564433363 0.0407599421911611 0.00406373528544591 0.00452707560606289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.122292781775118 0.123578076657684 0.0465639474880505 0.03800719220745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0519237692586011 0.0500180718752337 0.00768143249428406 0.00701035655072893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0291798759076754 0.028183693853147 0.0024078248720392 0.00228729683623339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0190644804586383 0.0184468806684505 0.00104552949799678 0.000990888603096602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0714523782090841 0.0796875287882743 0.0157108872928967 0.01698111929104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0200134789959954 0.0213902611444798 0.00117378095863114 0.00132268789234368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00967131730926182 0.0100623758041432 0.000292228992547649 0.000287427143908471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0071134341007965 0.00659918295810743 0.000179982837109569 0.000116836089702946 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.068587801224168 0.0673272285211113 0.013948667995083 0.012490933112112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.019822564164687 0.019941236535248 0.00113151617351865 0.00118299952560312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00972279989010207 0.010212453812607 0.000282967177627146 0.000315522364808057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00669882296373546 0.00693664507841855 0.000140995214746784 0.000148245567996783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.239867940258138 0.252892386587034 0.201069520912183 0.140695387759954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.101974377537117 0.101837540072071 0.0310138109859717 0.027336658237344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0579367622461365 0.0567562414302399 0.00964202508930587 0.00899665540277778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0379131048808743 0.0369882999472502 0.00411324559424553 0.00390638003554547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.140806766352232 0.161323408081971 0.0667722510602194 0.0638140653018073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.039787570589797 0.0429982425921528 0.00467993455507071 0.00522220064910389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.018959644424172 0.020039302295262 0.00108170283580984 0.00114793144457441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.012230828754342 0.0122641922044702 0.00048499693668269 0.000417977846077684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.133798691202651 0.13788206959106 0.0575117539055117 0.0476941314383312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.039432147700933 0.0400364470738659 0.00455855518538722 0.00458457599208471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0191676757130046 0.0203803994582629 0.00108775445251501 0.00121855458728464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0122687447526936 0.013526688723064 0.000460365749358155 0.000544693294822717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.48447399524323 0.508990114190604 0.913949132293648 0.503172119614678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.198635585742996 0.208633841811295 0.129461789327779 0.103735234407959 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.113529635402832 0.115733211047263 0.0388316760911363 0.035127274080428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.07487844017838 0.0747896925877315 0.0163663297290001 0.0153414452259507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.28356878269285 0.320458035806451 0.3040164351307 0.226339544921804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0783420368787745 0.0873717259033338 0.0188324874891011 0.0205430959403548 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0375548994548857 0.0402953717579005 0.00421120983610936 0.00457400101564776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0232454935568168 0.0241198502347507 0.00166541801460795 0.00162722334551946 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.264300210007142 0.278875900776081 0.252288360183614 0.173332375998854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0776876068910741 0.0812223824468332 0.0184920065680075 0.0177515994482024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0380266440427769 0.0408910047713807 0.00433857481762723 0.00471807824541113 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0238372127048851 0.026920823455684 0.00173287107246619 0.00208105665848654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.51327618375482 1.54138900680211 9.70625788598591 4.0271398742139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.597312288939602 0.630111640188063 1.37778762944476 0.795747309959237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.330693886426122 0.355588601714203 0.386482677235138 0.281549794340513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.21611007640288 0.231560880663333 0.153426051289848 0.128541620285646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.894895971036701 0.943156022273424 3.45494632551847 1.70361555199744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.233488780597079 0.269293682581772 0.194021108333803 0.170216103214638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.110375212740211 0.125766288390896 0.0387787498621347 0.0410055738852881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0677718356178148 0.0743064722381203 0.0142062103977239 0.0146969502917386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.809978126216848 0.836286884588075 2.76789113835282 1.31975843798095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.228230481150689 0.248712585471219 0.187876641571864 0.141000825108911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111989368196447 0.124767029667041 0.0417295310651724 0.0389861436984526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0705122829846251 0.0814292159867358 0.016298390246489 0.0174011128780347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.55766593155399 2.5853324524578 28.1736634591739 10.898664991118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.00622500300707 1.04594705935431 4.08343268576299 2.06179098829793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.552013935360879 0.589570596955426 1.15081790992506 0.717964621093155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.356482116164826 0.386279873605894 0.449831697587257 0.330428130199907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.54364532710689 1.59144018661775 10.6391188428175 4.62334165555224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.402511132153303 0.453555134186213 0.6280732228772 0.450558394852221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.185958358050757 0.217041228996269 0.119391747100276 0.114023661381962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.112757243481645 0.129280690190095 0.041387311181617 0.0421629680409709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.38242195076681 1.41216958425234 8.38131693217559 3.55912005268488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.385334850298252 0.413197378824032 0.585249731009083 0.356263904141899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.187298503470299 0.208832797645307 0.128523613135215 0.100281563064773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.118442471179375 0.136598688216544 0.050052215010107 0.0456293782611915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.79839699916991E-05 0.000123174364990563 4.33782135856063E-08 1.5298048033243E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000273090614582885 0.000400681775342914 3.37798917229101E-07 1.28810110423069E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000571665045218765 0.000864614949283883 1.48510175812899E-06 5.91201385815253E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00106985100142281 0.00163285440334311 5.45568729325722E-06 3.25206782618517E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.72764031270585E-05 0.000206374293424315 1.74467146510375E-08 2.11868616345487E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000439924581152238 0.000923702683277044 2.65256746699539E-07 4.4773392697138E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.001033083524189 0.00206274100168016 1.29754159010131E-06 2.2308265756641E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00203639670816095 0.00378178442325276 7.73068214813351E-06 7.18833907498761E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000339908432388649 0.00166788241999598 2.1123829941608E-07 1.08813972280732E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00060463864137835 0.00148886186240924 1.68766845866415E-06 5.18638847501889E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00140159728867512 0.00285923831388288 9.59494242480149E-06 1.45765445097924E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00254106686978322 0.00464597588132248 2.94813948669741E-05 3.60615361530195E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0454369197193034 0.0445013607576823 0.00588948611634431 0.00558282042662382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0188364520859701 0.0187158255395331 0.00100127595610682 0.000972025476612108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0105752370937445 0.0106501793953118 0.000322401816664161 0.000299679492897658 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00694563569469813 0.00717090173091202 0.000148016260688487 0.000120291154523431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0268444899045394 0.0283485834047481 0.00197785609057706 0.00219474989805927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00758444402170086 0.00785427187717404 0.000146897510094004 0.000179507034517457 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00375781228607295 0.00443817507896732 2.96461646404507E-05 6.94855578663552E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00313938546747759 0.00469529513209928 1.75434935438389E-05 9.24235786961025E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0263514837444007 0.0224900057577251 0.00188672212628162 0.00142372372708798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0075127310038813 0.00747810843623168 0.000157324150580097 0.000145184161929046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00387985254265194 0.00518600638766731 4.93882340193886E-05 5.08259046954796E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00344717971263479 0.00568249428824629 4.53357841420428E-05 5.14695784006572E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0906786198962519 0.0891865719244718 0.0237799737041326 0.0220763535128521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.037673459446952 0.037417921073524 0.00401146634048234 0.00389108048622974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0211429137827033 0.0212332143717333 0.00126868498210927 0.00122352224480504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0137763303774068 0.0139837189153842 0.000554206755779599 0.000499750112415767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0536633319982516 0.0567244665285575 0.00805520210384089 0.0086436340950081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0151369115293273 0.0155886086375335 0.000600636888119511 0.000679372262507405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00718292532430224 0.00774870545382867 0.000122617463531012 0.000190580156473223 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00483060628466728 0.00620760412966409 4.78161580954257E-05 0.000141216801808813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0526604025890769 0.0449648924058063 0.00765605828986755 0.00552303734651902 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0149778074775302 0.0146230984095636 0.000615038527088833 0.000572963683912981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00724617249444112 0.00860488789253645 0.000157506405460211 0.000165785862625297 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00504003060118572 0.00752226274369895 8.67433040567357E-05 9.90161849853933E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.179862447711871 0.179740890184838 0.0961022975085807 0.0863686968440264 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0753279733159462 0.0748363664326687 0.0162119280303099 0.0154340950368683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0422900333714738 0.0424234352155884 0.0050654984129357 0.00492215086274227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0275036079984779 0.0277768199776053 0.0021600604636382 0.00205149546563877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107188838638919 0.113607493224045 0.0332976258146061 0.0337291380023585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.030255930674853 0.0311283685905196 0.00244802651156707 0.00263750503588356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0141944837601587 0.0148573036280533 0.000509596408009482 0.000649798294993671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00868588785313259 0.00983999873817408 0.0001754313169659 0.000315826601540511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.105035488948682 0.0902040641052183 0.0313146133922331 0.0215032102161421 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0299291931518399 0.0290861312094863 0.00245054914375545 0.00228659738322923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0142232533746883 0.0160694289051272 0.000576617153582506 0.000645966141985389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00883898302184296 0.0118927594648908 0.000242676795453168 0.000298456725761073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.52651975157822 0.547995981680564 0.925544651725568 0.688992094718556 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.224007509228414 0.226029547281003 0.149830739198486 0.133169062467902 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126685032092053 0.12727237361619 0.0465139577108283 0.0434874476808646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0824234727511659 0.083108691282572 0.0194265833388572 0.0185562597408749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.320647117408738 0.342087469396738 0.333634882038972 0.2803197164514 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0907144332401342 0.0936206099058558 0.022989272648778 0.0228895963410636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.042440218328803 0.0440958551373596 0.00480705201354857 0.00533597515761649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0250807237572822 0.0265766754905424 0.00161536423728616 0.00204221128791801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.310512864659866 0.275193088271755 0.2998379336659 0.183374573002375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0896154086744428 0.0872273343873188 0.022558606981489 0.0201967860943349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0424477793274052 0.0470981447671354 0.00502770286960366 0.00588739389166923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0252765330875605 0.0318218716481202 0.00184113510242039 0.00256378384926323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.873198820612802 0.911297929794095 2.77945870418795 1.73930068779381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.369342615723069 0.379918277422916 0.426699234062376 0.352242274268171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.210103123032372 0.212920630188587 0.131022487668217 0.117906597944975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.137203262998192 0.138533672814896 0.054603995367626 0.0508774539985492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.535517874891587 0.570893392419021 1.00701213961876 0.732625564564953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151371666743841 0.15676599225914 0.0663052987604862 0.0624231023771977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0708873197068338 0.0737041024705199 0.0137261962724246 0.0145531269633163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0417932276991556 0.0440388510237027 0.00460506075434815 0.00541661119992798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.510810955363101 0.465926363199246 0.871664546952159 0.492949431821413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.149151468821757 0.145657493649108 0.0643760840117941 0.0549635970520664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0707550107874012 0.0783841108418424 0.0141336240464512 0.0162844147165412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0419776224721629 0.0525009200410579 0.00505743981707219 0.0071709258365155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.142742124622991 0.141014290314957 0.0614677039883955 0.0549465490365327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0590379749424553 0.0589573631150061 0.0103013621643028 0.00986962213215909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0331319565044976 0.033284679471127 0.00323433489252246 0.0031282866324994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0215540053899288 0.0217845155074618 0.00138956095478034 0.00129793426661093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0846731732356983 0.0881108745390447 0.0212247395046586 0.0211004741940294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0236728303158153 0.0243936847835448 0.00157133791888509 0.0017161064503737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0111587587157227 0.0117634931392512 0.000326165659617664 0.000432165317823018 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00707744000949351 0.00827361877652417 0.000117775168126617 0.000235189289181809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0830092987510834 0.0707846324411043 0.0200845012164594 0.0136765664621837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0235069130098934 0.0231783830982798 0.00158082067766496 0.00146945067652046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0111793369379437 0.0131345649256922 0.000378045987924031 0.000421243901913683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00721260349014982 0.0100681741829083 0.000171007445195056 0.000200742326674365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.280994799722799 0.285654077185951 0.24983952256461 0.211029170327562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.117848525428284 0.118092019296003 0.0418312225724879 0.0388683826342111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0662282844980627 0.0665597578777714 0.0130179639791228 0.0124743345416273 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0430536961139816 0.0434625699296603 0.00550269690682696 0.00526289701598392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168846475746831 0.176818995757435 0.0888367120084509 0.0818505235779965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0473135450172439 0.0488202718689162 0.00641234903342513 0.00671183704846204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0221920290053585 0.0230919539739386 0.00134582058222861 0.00158048395855222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0134550790679137 0.0144825104022046 0.000466829490833686 0.00066508657056169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.164947489937186 0.142594994250116 0.0825736897359415 0.0534233724216613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0469625284976673 0.0462622713637884 0.00635725843987963 0.0058459897120474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0221808213644539 0.0254717622934461 0.00144853655582436 0.0016950619270669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0135366806630241 0.0176588940948766 0.000566005117033252 0.000727909529488177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.553740435750548 0.574299864228245 1.06662955466407 0.769796894563292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.233452098821439 0.237915555691914 0.170219424173587 0.150677924434767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.132142698999875 0.133263879196821 0.0529193974007483 0.0491036905974798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0860138101802026 0.0868653112427036 0.0221610141032393 0.0209883965170751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.336580711521443 0.355179711575096 0.383773305389226 0.31188717880304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0945767246846602 0.0979785702323203 0.0264659987819865 0.0263239324407779 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0443597682575616 0.0460881707140068 0.00554332951319976 0.00606654160377905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0265675500256247 0.0278339109021953 0.0019134106806077 0.00231879327865539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.325426105630171 0.289455774996268 0.344455480163222 0.208563676206244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0937160224411424 0.0925822834994694 0.0259546229486455 0.0230622883013616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.044279385674596 0.0505168398805201 0.00576359935482835 0.00682973049861991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0266388341691227 0.0337571542653776 0.00212906457243803 0.00290797879137393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.65661108512517 1.71098018577093 11.4726577865567 5.752560135178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.687197158746861 0.717327330010839 1.68655189310117 1.18586568265613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.388819373073422 0.403720816645882 0.496390846016513 0.409254939635666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.254727592536575 0.261836378177319 0.204025847383002 0.180437402369678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01917547075405 1.07242236331191 4.2087947532276 2.51542592554309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.286498142158592 0.300973751810489 0.26816730992345 0.231000861095107 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.134970231896082 0.141176256216191 0.0544733483966532 0.0538668115708446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.080555613697313 0.0841347821914165 0.0185626832483323 0.0199388885548561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.951040702014932 0.896309149603693 3.49913315100628 1.77956994015195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.279369103788204 0.280119786891207 0.253302891118868 0.198158571224715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.13303985138166 0.151860548539184 0.0548983023985718 0.0605620200269329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0799255974197959 0.100263167162206 0.0196808871958131 0.0264619516908258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.79374968408274 2.85412667286229 34.5841670395083 15.0337056404292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.13973885414831 1.18369955758791 5.01076534872657 3.00372207996234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.641471423599306 0.668526408930994 1.44176661809173 1.04724306068441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.418465983399176 0.435659121978768 0.577213450662285 0.47166185616136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.73603096231911 1.81023287681356 13.2512905231499 6.80165588981893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.490708299577874 0.518867495260455 0.851237436890226 0.650778972045252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231772107255699 0.244406841250464 0.168928422214222 0.156199587023029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138292637587104 0.144990896761305 0.0566672686701473 0.0580435043125561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58683641475423 1.52368438089519 10.6723819667945 4.88890580185193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.465389569759697 0.471439998313974 0.757542188933332 0.534068709264365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.223179620637424 0.255837650990807 0.163951017305443 0.166767184626669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.134454700796697 0.169105582676175 0.0586446897114929 0.0742201070939658 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000166195481796113 2.08396191669966E-05 1.24206784341662E-07 1.55098334097758E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000534729054479103 5.84437383409867E-05 1.28494036537439E-06 1.6307188867417E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00111171780152242 0.000132501978319751 5.55442386290668E-06 8.16686076724432E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00205522377335643 0.000255816714881092 1.98292768444164E-05 2.98520436320776E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000588176326509056 0.000148598994152358 1.66541194735316E-07 9.43128131676836E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00253122354248377 0.000593516848749995 3.09224178549006E-06 1.5057361287715E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00555633657991246 0.0012860501147442 1.48977617636707E-05 7.069285267536E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00951058301013353 0.00216550922211548 5.48760905609757E-05 2.01868327988986E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00144883862681042 0.000378774305345268 7.8948506630561E-06 3.50953019625371E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00315379109420129 0.000504823888045155 4.61818813154142E-05 1.80230877374146E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0069120939765648 0.00112570839028688 0.000218703734610464 5.56736788609084E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0114586075059873 0.00190392651794427 0.000603257544516889 1.9787293541031E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0408221705629496 0.0278367927956145 0.00455354729133434 0.00190085312862257 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0171787165765832 0.0114708995719371 0.000805794833364251 0.000327204188632105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00974608340848611 0.00642006330908688 0.000274180042873076 0.000103692195485098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00666178719774205 0.00419089904493602 0.000145127226972072 4.53873439288388E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.025146407042708 0.0157657660186775 0.00172021062650019 0.000616973919005756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00735811776344724 0.00432274325139582 0.000110311327821509 5.12975160601599E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00634301516863931 0.00232822025153346 3.48046381388134E-05 1.95340851000868E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00972367200766848 0.00244130387855508 6.24161311996603E-05 2.51232758043228E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0211323893946382 0.0168528786933001 0.00125202212417545 0.000697292816884385 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00725999619112382 0.00465435452504997 0.000189158573239739 4.89751169962719E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00768152319832653 0.00242401760105947 0.000260727642101742 9.28248632934993E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0117263011903884 0.00223546910677038 0.000624149436906486 4.6783869094488E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0816135286619565 0.0556994534554973 0.0185251525438417 0.00743486281547026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.034351292517582 0.0229424230993755 0.00320906532514059 0.0012933450283281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.019415503602315 0.0128369674193883 0.00104958650741098 0.00040948414678278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0128541750739506 0.00836538192974798 0.000492255893960048 0.000176849420092055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0503398487482329 0.0314812127394655 0.00700852633264877 0.00241658318700711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0141388045563862 0.00859618093080505 0.000474631424989019 0.000191962740413553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00844393674232112 0.00420231014511458 0.000100296720976516 5.45086377483287E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0102423639398158 0.00318067896190559 8.54029179305681E-05 3.95844280862923E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0422761082681367 0.0336122211200247 0.00502301718625068 0.0027340182864668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0133832583078858 0.00925898063737678 0.000578960340678803 0.000202008499491828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00954069946759307 0.00450395389470429 0.000378895828538456 4.00498825582135E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0122887301315028 0.00314199619346384 0.00067620750803545 1.38702684409714E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.162955461441326 0.111644559034798 0.0762226289141466 0.0288405391115892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.068674994908185 0.0459101819164589 0.0129353327785714 0.00508237681594073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0387987383969318 0.0256730856468744 0.00413613896534438 0.0016150585213748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0254574719079783 0.0167199888044578 0.0018389343621968 0.000694855461580477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.100859399869927 0.0627926415137765 0.0286648167309977 0.00937093380495568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0279784998727309 0.0171588130145748 0.00200672147011256 0.000739499722267573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0143093146766108 0.00817227568520974 0.000400307512185175 0.000185012368364694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.012199311067574 0.00529309669965082 0.000182314625489187 9.4668702990789E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0848718892567975 0.0668612644886333 0.0205516164087238 0.0105592355275385 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0261637980977546 0.0184738619483014 0.00207468413484331 0.000816221876670361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149304504473266 0.00881597758085513 0.000828163632372246 0.000171314007653057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.014313734849701 0.00550622640722972 0.000879405894478074 5.59869601651589E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.484028957055626 0.341309555501871 0.727747173848313 0.247516535617672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.205284974094541 0.138423825162746 0.12047325503783 0.0440200116966659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.116225555824119 0.0771243728945492 0.0376005626241206 0.0140725557642427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.076144183807317 0.050145744975092 0.0161131979467076 0.00606319655053306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.302290829736549 0.188808347566443 0.269874975693617 0.0793627522847174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0838785238772881 0.0513232740275912 0.0191383219436653 0.0063508283711376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0405917441556136 0.0242933706292607 0.00405301400729295 0.0014925448131992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0263067467723063 0.0148227222107533 0.00142443513013288 0.000618946856121122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.256621230839283 0.198427755692248 0.19806289544575 0.0871664610746507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.078230835993346 0.0550825330496389 0.017899199472687 0.00717961982537034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0406607349597387 0.0262064938722574 0.00525251349311423 0.00160775714010804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0283219009983022 0.0157421768486286 0.00291233519624134 0.000552185032178185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.793706319743998 0.586244327645556 2.05474152950757 0.687347469803133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.340631072750228 0.232264914018301 0.341858031056327 0.120296145182061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1932673926273 0.128859811055419 0.105924565852018 0.0383919607171794 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.126743307219779 0.0836240375583089 0.0449631139910668 0.016536885867194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.499284286991032 0.319946028339115 0.761837840879323 0.218211219381304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.1402399874888 0.0854984169254018 0.0545339193413115 0.017255119340404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0675402997171372 0.0404609541200677 0.0117678983451096 0.0040298107812266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0424365748040511 0.0245502851188719 0.00417987194192551 0.00161277858359835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.427345039919185 0.331055228758716 0.570726134218549 0.232272042892652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.130754727076291 0.0913489975862879 0.0501733744770698 0.0194194446144205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0673740442860219 0.0435196492893453 0.01392187670155 0.00444518465601878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.044888623056938 0.0260905797480677 0.00678687470531664 0.00156232047366537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.129764316249946 0.0891529174058788 0.0495264634336631 0.0191185107003143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0543360141276405 0.0366359297544545 0.0084204628597235 0.00335943517257846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0307086211000075 0.0204304257983968 0.00271180175217672 0.0010614268807959 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0201491906848377 0.013312305371976 0.00121467191054321 0.000456556112607627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0788353195699664 0.0496117217111303 0.018099067931541 0.0060869425808094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.02215165639042 0.0137249375070055 0.00128714759836787 0.000496315012130115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0118087461152593 0.0065308179842355 0.000259188141827355 0.000125739750869985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0113067327130307 0.00438311080079889 0.000135827605152768 6.86330009719428E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0662056315462449 0.0528864906325834 0.0129176944927827 0.00687931067378823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0208786419679232 0.0147798164704211 0.00137714676704254 0.000540772082191217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0126519145150703 0.00704631135867165 0.000624249869292091 0.000111101293099748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0133751038209411 0.00450228976957701 0.000784732303792088 3.62114600754203E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.258647012878256 0.179275261188542 0.204681691288785 0.0742077628453446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.108497456837321 0.0734103392906046 0.0341645806096731 0.0131845172503109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0613589336972882 0.0408793787124286 0.0108191068521259 0.00417967558085475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0401411994399212 0.0266165370516371 0.00469661366485507 0.00179629032330129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.157824914925276 0.0989901941358318 0.0741775867179936 0.0235304070170506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0441489571896986 0.0274072740317946 0.00536843788766215 0.00192784956088375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0218097072709823 0.0128943300185402 0.00110272494311592 0.000456152093333756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0158620358950086 0.00803726127436705 0.000409275340602955 0.000202149790848359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.132941948929628 0.105063630497206 0.0533452489298137 0.0263656713939077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0413814466598028 0.029489427019199 0.00521402937447562 0.00215635207298279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0223924955602652 0.0139740868870352 0.00174873116053116 0.000464352229356493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0179271890318182 0.00848733180555271 0.00130314148842289 0.000153798774627156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.512173757168921 0.364556762147413 0.845756775303315 0.290027310818154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.216257143306852 0.147490019210326 0.139895982648459 0.0516214541014564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122494290669325 0.0818957752684366 0.0437267585548283 0.0163978823043478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0801497155883407 0.0532422114690735 0.0186517427354512 0.00705059424725782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.314299569797167 0.19899685084128 0.304181988287987 0.0912337757402153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0883901595355078 0.0547340347632215 0.0221968709423636 0.00750389915490271 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.042767312252477 0.0256948983406892 0.00472428668787019 0.00173153470707222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0277010339946127 0.0156815153000594 0.00164957825283783 0.000701515709005414 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.266474500219658 0.209012018024837 0.222709164287623 0.100012797095883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0827402526875327 0.0587225372549804 0.0206439818578271 0.00844783038974957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433260998365425 0.0278450695513959 0.00605128029983358 0.00188464088440385 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0300006569401393 0.016700029376073 0.00325832863191938 0.000646544311472822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.45679177993962 1.19777249501929 7.71943916333061 2.7458408285284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.637095630034782 0.453176433470584 1.29956547919446 0.457354413399621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.36389075986761 0.24785727669929 0.404157792145653 0.143152555546834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.23887811088051 0.160213615572744 0.169947744495007 0.061271386069671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.904388743645692 0.643931864292919 2.77492162725524 0.869564777510729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.267799976887222 0.165921622955469 0.212866900774257 0.0659636046601112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129292417561477 0.0774464265749449 0.046790976113534 0.014941799098291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0803344209598123 0.0468776435320723 0.0168843957106838 0.00576161546375846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.786793457478881 0.640437365671054 2.14797745981071 0.846338408175673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.249466126810332 0.174444841268872 0.192571919991117 0.0713978289710633 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129711066838902 0.0828083728680267 0.0520254336150897 0.016501215924324 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0846620238562969 0.0496154714773522 0.0231719278773572 0.00590478058346303 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.37211216015537 2.09916284346997 21.6718739578531 7.93455658966699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03240721515877 0.779155248834599 3.55847152461681 1.2965147625218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.597631261467022 0.41750637628344 1.11868197630634 0.395027534053725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.394058569208641 0.267865921467711 0.470872743131004 0.167242914355357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.46584103203268 1.15752320554631 7.87914851062404 2.66088667001185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.451998221491999 0.28541261158458 0.623688205272975 0.190847045994304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.220395212753999 0.131520892410414 0.139860793264117 0.0421063333650418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.136605873239068 0.079377414624189 0.0512252367325529 0.0160518259794272 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.28961611409533 1.1055385998599 6.18891637554996 2.36644746556575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.416303071743481 0.29058049871899 0.552110259920177 0.191526769858385 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.218001695526679 0.137029126395076 0.148732536363171 0.0443258454469371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.142198903649632 0.0822409479680328 0.0647524143583197 0.0161086754441501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000173181598641047 0.000164631956746041 1.27248528426891E-07 1.98792345732624E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000601444337318733 0.000566431443545435 1.55929917101053E-06 1.62480830472552E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00128874776761869 0.00118680910525162 7.18641249245116E-06 7.29596610154583E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00239500433027042 0.00219587569087423 2.48625202026031E-05 2.89689187896479E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000224669072976455 0.000374526673209152 6.70100893984296E-08 6.43817418382141E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00117497492736439 0.00166790604792029 1.45302045105049E-06 1.28041062854196E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00266864717876417 0.00377097021085472 7.22678507870524E-06 6.43157612747561E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0051182427196813 0.00679897625419784 3.69581256851563E-05 0.000195183261162319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00174981327166853 0.0004927819178229 9.86346217357584E-06 3.05922131588187E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00183331186071518 0.00155833497070948 1.51781417544468E-05 1.55580869792821E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00354088588216928 0.00346619688899415 5.84701201557688E-05 7.69995284867044E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00593935703019735 0.0059993012935668 0.000165718475378705 2.51465909430361E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0369258725634943 0.0405931631461774 0.00378644534768832 0.00453299145793887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0152066957143883 0.0168250826588616 0.000652671900973483 0.000763481176815364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00857909871854232 0.0095604178213509 0.000222881654942953 0.000229900721444033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00597632068419012 0.0065393617184705 0.000124240395689784 8.95406120860829E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0205286165309562 0.0251598586753103 0.00112875151259875 0.00173497271873049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00588749471411171 0.00715467836474573 7.92741759471015E-05 0.000161610813842746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0040876239201112 0.00500263371236919 2.24445544499351E-05 0.000103271325874198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00558212116140863 0.00701273530240239 4.33105362730255E-05 0.000207352994021172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0166616955636494 0.0240799052252322 0.000770130105769784 0.00155552950522748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00580221238939812 0.00692543932754348 0.000108362704847879 0.000108805835967835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00491294668801195 0.00471807104846216 9.37699316004132E-05 2.78527170973341E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00653881493805992 0.00630303838156803 0.000186261195005345 3.21862675567405E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0737791719623013 0.0812556595340545 0.0152046178098054 0.0180371147522275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0303989394917965 0.0336454068416261 0.00257893973634191 0.00308183406857606 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.017040184429301 0.0190398716872708 0.000837942744813764 0.000953925185541983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.011270214846292 0.0125861981974362 0.000398061703589673 0.000381434177283914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0410476228679093 0.0503214548628013 0.00456188191468911 0.00686662353389748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.011536231472476 0.0139901020726184 0.000329644722336823 0.000574404341443665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00630037726431483 0.00760108316897676 7.22335037061444E-05 0.000211885794825211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00645476947013937 0.00774920951884861 6.16101728100348E-05 0.000247302372256208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0332107966882932 0.0481550037588014 0.00303485328477671 0.00622503943575075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.011011721462192 0.0136091962359214 0.000363105006899696 0.000459685104989451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00711239277895159 0.00733847975289854 0.000178576959031888 9.68069370630128E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00758822543278638 0.00715665616237643 0.000231718690666779 5.41909292042285E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.146973068624005 0.163065593572294 0.0611639393268059 0.0714198534574159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0607676965969556 0.0673118258127074 0.0102872721132356 0.0123408756252783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0340244920131458 0.0380369181196788 0.00326355931325061 0.00388454134742917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0221887554699481 0.0249291876478892 0.00144687414797366 0.00159865857876239 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0820650418655003 0.100678454676339 0.0185445255445288 0.0270974664069414 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0229427742593894 0.0278155309557657 0.00135822203706223 0.00217534489086786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0114296469728647 0.0137378143304616 0.000288684643264622 0.000613559443981333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00877117758456627 0.0103265825958269 0.000136224025264002 0.000406207448018673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.066367395478821 0.0963126537104427 0.0121890209913042 0.0247475467776228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0216888381624186 0.0271062274419738 0.00135150693049881 0.00189926715614994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0123106902534138 0.0134691348094415 0.000489548617961566 0.000402463146478819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0102366185531049 0.0098743559848033 0.000384128456802409 0.000150239538266557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.433415634830922 0.495293031849334 0.568546519415045 0.609489511818258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.181256893792727 0.202822448810497 0.0929117501552146 0.109649507440654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.101900668760335 0.114168980428768 0.0290763308183853 0.0350881513820126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0662171273246021 0.0745836065327385 0.0123593418525303 0.0148398365724728 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.246138731496284 0.302367710865215 0.177655085806835 0.233248483297539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0687518875186516 0.0833832389123415 0.0126624860433965 0.0187947708629002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0332102169849451 0.0398361767742314 0.00277575361857943 0.00458848750858987 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.020970325036045 0.0248730639340854 0.00100828058697653 0.00196636164170759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.199633972179471 0.288545464628518 0.115815992970642 0.214850561805541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0647018710849953 0.0812523497135863 0.0118111197937426 0.017336282496827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0349502888795285 0.0393593218340274 0.00360955759882688 0.00390258004943781 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0237088546852528 0.0245344493141612 0.00180786848547987 0.00133752494923789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.720811771254802 0.821705870106417 1.68621699160107 1.55980137528005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.299351173295084 0.340222259504888 0.258968093142847 0.299912276680027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.169210932193661 0.190668271275563 0.0807613907564758 0.0967669144472761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.110142579056059 0.124324712801575 0.0340881266594767 0.0412509932596934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.412152191970682 0.50301080687867 0.527418200697173 0.619119882696552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.114727189807945 0.139280879198156 0.0359307998968047 0.0515749170306834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0553227027029272 0.0663283708361899 0.00792732389461534 0.0123420693640117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0341957490826563 0.0406429844263213 0.00284851299373563 0.00494402734551549 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.335761134077598 0.478328019485289 0.345172053394084 0.569585969106918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107686209762063 0.135501024161004 0.0330129145013704 0.0478803502306091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0579832787914415 0.065506345234334 0.00978888081603114 0.0109904529376199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0383951122239394 0.0401703735911932 0.00455008859885541 0.00384036997078798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.117363695403084 0.125891537789007 0.0399270519925156 0.0441698617502738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0483860580524795 0.05233059556158 0.00675275312718247 0.00774440400135754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0270168622440318 0.029550076542247 0.0021474316919674 0.0024250434942096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0176700759301659 0.019417869061125 0.000966072008791148 0.000990521747661591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0655782299881161 0.078371367232488 0.0121826696806505 0.0170599902207998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0181343115626928 0.0218752771397608 0.000877466351979545 0.00142253837755308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00921146134432298 0.0110179607492804 0.000185957826026773 0.000419505092078146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00779452052690079 0.00922616295462874 0.000102341782159586 0.000333473067611691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0531718151142102 0.0749618573766105 0.00804192817056912 0.0155124686379995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.017499552061549 0.0213727927940902 0.000910607419948253 0.00121686779643624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0102939394965008 0.010732339491996 0.000356500963533074 0.000248683109897054 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00929050352271151 0.00860515945136191 0.000323388846775324 0.000102073379943307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.232473536317997 0.253831809605159 0.160426136637132 0.174606414059708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.096616794855085 0.104780589905514 0.0270228431831075 0.0308699516959645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0539565278773974 0.0590907830826335 0.00846924300203597 0.0097874058400181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0350638632708038 0.0386478761377271 0.00366083666904574 0.00408246506202626 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.131033893691159 0.156930628172976 0.0499305801174768 0.0670721347828161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0361758790774604 0.0436698922129937 0.00359141887122149 0.00550409787637443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0176008085309036 0.0210291294681315 0.000769447528969554 0.00139444936601695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.01208646968155 0.0142370354486129 0.000305531974959628 0.000720943573436584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106352420249363 0.149870523836228 0.0327412722248331 0.0612045215790292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0348005352904085 0.0426717343415925 0.00351742500303665 0.00495359159328135 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0192105853859185 0.0206720204585077 0.00116045035716619 0.00105044073205188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0143215746370017 0.0137642507229749 0.000706236780976428 0.000363309940549646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.457811180542103 0.51285371886417 0.658218427072549 0.672606377954566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192039022887252 0.210580237409897 0.108150637096252 0.12228125428874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.107663233885988 0.11831000365082 0.0337326425540667 0.039100214383056 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0699152422604623 0.077232762092017 0.0143122827654685 0.0165368279627812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.261889184634961 0.314468621511502 0.209773435969518 0.260143910485751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0723360196410568 0.0874618296863457 0.0146804387003841 0.0216017246351555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0348046717606517 0.0415962985674168 0.0031981332382763 0.00514958577726449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0220402961861036 0.02593946422281 0.00116823189805697 0.00217333207912948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.21330573382531 0.29915043989228 0.137387922997147 0.237095865569568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0694975919667691 0.0853016777256305 0.0139913332318088 0.0198417012123863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0376845117274059 0.0409543755629917 0.0042887875695854 0.0043595163321935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.025729067510028 0.0255719470080743 0.00213230871752719 0.00150092770587353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37632123828505 1.50479994198629 7.05855627260207 4.92829892320254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.563893624709958 0.638690796779289 1.00677363374071 1.03278117687812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.317734633280312 0.357847387163916 0.302855718220769 0.342920941788563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207505949499084 0.232325406577825 0.126565479658837 0.147429472057716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.799971242967881 0.940440647364025 2.28776737435482 2.09512280531932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.219284141594925 0.266681435753725 0.142637241521294 0.192348559761334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.105125109576576 0.126359226530345 0.0308091395176019 0.0451170142696044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.064814695152173 0.076431520106504 0.0111283511560759 0.0172057230595839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.661949573481236 0.876826912511484 1.53585515068171 1.83596371807651 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.208612658599225 0.256062276047835 0.13187581996749 0.173089750511485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112710684821244 0.122872986484638 0.0382603055330915 0.0396185937356537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0746244088679149 0.075139814742354 0.0171231760221948 0.01417411316065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.33302547151964 2.47552172019882 21.8147828352632 12.3479139809896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.937059841798246 1.05173871590931 2.97324526243858 2.62062006294308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.522448860537623 0.596776977322541 0.851064861012139 0.911940108924737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.341002218108056 0.387771425780699 0.347882188114543 0.399717566469365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.37715200410691 1.56053736458584 7.44042585038597 5.41773889638333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.374466530527168 0.45682244504035 0.438793536812339 0.546231209290546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.179189952105393 0.217122499718922 0.0922752660619175 0.130643903065563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.110149517383855 0.130670523303577 0.0331025836657143 0.0493116274115722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.14850584039752 1.42901250077893 5.08836214946181 4.54149256868458 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.349600370010505 0.427680660066935 0.390971990930568 0.465332309083511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.189026459738668 0.206304828028527 0.111035304755007 0.109131357038859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.125234872205057 0.125969243927742 0.0489901761839307 0.0395644784023402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000149938790965133 8.92143168435921E-05 1.02270993698137E-07 9.35414276599917E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000573217743645979 0.000260379379232847 1.4849785927362E-06 3.47198334982053E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00124450607489335 0.000528254155566744 7.00340752900679E-06 1.43837087087456E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00244629641299062 0.00104770104469064 2.99642745004561E-05 1.03612365173968E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000294721926017227 0.000245162271378334 1.18456076806523E-07 2.84815692306093E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00146332146754869 0.00130331706525759 2.65090889658664E-06 7.29242524991281E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00328281592479029 0.00296299786459381 1.31353324439109E-05 3.7407160228578E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0062624352979087 0.00526179355338698 7.74058694150813E-05 0.000111824336868676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000532835105986523 0.00106515374547697 8.93493091058162E-07 3.53673344028236E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00144426705115507 0.00112621870073382 9.86299820811092E-06 1.77895600620834E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00327007746636639 0.00204345421534401 5.08248738485863E-05 4.60241403048116E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00570108385551504 0.00330034223693721 0.000150508282764487 1.26583356231065E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0331510035384716 0.0481981566516403 0.00320252019132034 0.00616040996004422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0136632421589807 0.0202195726879237 0.000549784635456154 0.00106969680003055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00773744828432365 0.0114667013115654 0.000188818335447708 0.0003336303287861 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00562081574094478 0.00757719608864399 0.00011656914228145 0.000134686855020408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.019143680835719 0.0300078229329266 0.00102343269182351 0.00235457974608341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00554472249732183 0.00836094292017199 7.00492478319221E-05 0.000203143905309514 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00440489453773789 0.00476089070132965 2.64024654558637E-05 8.61958448559961E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00659991017442499 0.00555926048502747 8.4155175665983E-05 0.000126165625224476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0194214806530691 0.02384547128532 0.00106105949233549 0.00150572643453294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00566435127158883 0.00780201916000398 0.000102833319347772 0.000150883448629798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00439650270147537 0.00482418814570365 7.81507536094217E-05 4.33665637759181E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00604748975214856 0.00464178186317441 0.000162161243072375 2.81947593784376E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0663513374917463 0.0963426272118311 0.0129415864305248 0.0244257208099181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0273196612503157 0.0404262127545712 0.00217712087563878 0.00428272197767339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0153402257643371 0.0229101534999814 0.00070769607262061 0.0013533089311341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0103301586429865 0.0150228844691292 0.000351061511484935 0.000559368589133916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0383297347467255 0.059975649938838 0.00417215893798613 0.00930234930203145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0107004757057123 0.0165933850637527 0.000289260476824965 0.000756471344292821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00625733154826438 0.00826166341468566 6.8945497377381E-05 0.000225241921284551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00734025414869778 0.00673124886290785 0.000102275320673961 0.000176883557552216 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0388456445808067 0.0476533235358801 0.00427434277268913 0.0059367277912336 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0109919645877945 0.0154587306700097 0.000361806715847827 0.000612024260363965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00630085524973435 0.00875348409183686 0.000145510263047287 0.000171015763181578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00677696809742038 0.0067550588748758 0.000191659455423466 7.8113102916093E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.133159528505109 0.192155660164507 0.0531355800494101 0.0953659566947502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.054680579087826 0.0807959073645093 0.00874040325060358 0.0170379761199078 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0306319861291751 0.0457936761107317 0.00276116835873518 0.00543499429382746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0201119499804906 0.0299735493172038 0.00124541625463394 0.00228316034411671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0769766801420622 0.119652330190057 0.0172977910909738 0.0363847393089263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0212044934382705 0.0331218409864129 0.00119908909867103 0.00291743765610369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0107697869723991 0.0158579984739053 0.000254228003774259 0.000743604440659177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0093180853404448 0.0104781854527277 0.000172548751130509 0.000378382574111072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.07780963727037 0.0951829706713757 0.0174463940801503 0.0232830031131319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0218149066437745 0.0308348987389492 0.00137661548226136 0.00246675184085173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.010970911892809 0.0169916287667128 0.000396531820022918 0.000705228948915624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00877427597834398 0.0117365002746991 0.000294512777575357 0.00029353504786201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.419221118649668 0.554402549492177 0.573449711841717 0.716232064727002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165679484385354 0.240481224973132 0.0827695798206751 0.146466460443362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.092098791522218 0.137045614930535 0.0250348075227223 0.0482618742278087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0598511131711919 0.0897242186423375 0.0106179574777906 0.0206377762335979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.238243121334251 0.352073261093159 0.18217609469307 0.296505400134816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0637139032350507 0.0992286497368838 0.0114394422660635 0.0252956358801286 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0306486584819085 0.0470237158693008 0.00242544352157808 0.00595688186317616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0201386827874581 0.0284577840208635 0.000964099240794353 0.00234042772091474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.236427692751507 0.282694641773359 0.172288966063285 0.194588540998669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0653964393215051 0.0922755388427318 0.0123181472131006 0.0220055019653306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0313027151855947 0.0504392060518705 0.00292782728035319 0.00653695632404975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0197659782003814 0.0333385991553192 0.00128201169949771 0.00275324324750638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.722237921207658 0.895607453174379 1.8208065716227 1.74538571652454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.282634149320903 0.393674944600106 0.24926641030649 0.376415069110745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.15444724056815 0.227202700380583 0.0715748576298493 0.130457736125505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0998760417331247 0.149194181056671 0.0296476324967683 0.0567506839665121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.411166826372471 0.574061675081882 0.580873008015255 0.75279625557672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.106986077232343 0.165239312807909 0.0332852397265026 0.0688691272370262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0510564263332011 0.0784441208693265 0.00700353750265473 0.0161738149599737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.032267422836304 0.0471087470417526 0.00263641948891266 0.00612002458700811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.400628126273439 0.464942598684864 0.522253554507057 0.504864137982963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.109443027471567 0.15337182495646 0.0351362584058975 0.0600557910747716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0520469271587098 0.0839238924210836 0.00800648907131031 0.0181704234340967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0319712986083843 0.0553011915698086 0.00320021923532018 0.00776255292324424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107610712407861 0.159413945245408 0.035031961631808 0.0675405509347982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0441551756908578 0.0664672433888163 0.00579905136946478 0.0118705408581587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0246820413258104 0.0375264242992192 0.00184080161686451 0.00376320175086132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0162321142707459 0.0245105279920779 0.000842584077884014 0.00157060931709419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0624002956331555 0.0976419536496449 0.011495319889292 0.0250565143217702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0172515860710946 0.0269466568926687 0.000806392980844768 0.00200615314590879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00900328480254669 0.0129626494930775 0.000173484215594469 0.000523857847628594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00846807672063298 0.00901837958455585 0.000137525250167406 0.000293789421142862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0631963445831548 0.0782433974676602 0.0116683470444287 0.0161091298389944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0176855645639491 0.025294773161464 0.000936507331063683 0.00169254673434944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00917948752325083 0.0139653770518812 0.000290220197816114 0.000477155550936026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00800797231172387 0.00987966697917885 0.000253158494286612 0.000203308810290344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.218139819474555 0.315516201674609 0.149115311006795 0.254486065427909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0884841345522682 0.132765738442807 0.0235505610076128 0.0469199952030452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0493655139716449 0.0750090909663869 0.0073109850345311 0.0150186431853311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0321576789839557 0.0489594152873331 0.00317810312926098 0.00634272038927491 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.126019309638382 0.194122902974545 0.0490161258543755 0.0965738799456878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0344374585160296 0.0538267031225138 0.00333534101386337 0.00782246334675097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.016847364011637 0.0254523635475058 0.000702935589782323 0.00187727905600062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0122661280640237 0.015842043990483 0.000324638294729015 0.000807162373071738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.126871161117443 0.156050659483811 0.0484895212265086 0.0625494940328553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0352800342299215 0.050554568834899 0.00366947282966617 0.0067796792084932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0172328749324622 0.0276532408408283 0.000944981738030263 0.00196297566585676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0119759726320659 0.018538022643239 0.000516488412983633 0.000824420547899167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.453732548976564 0.610455407561917 0.69171146158575 0.887439205038416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178644257388087 0.263592435114587 0.0987159221328205 0.180072439610345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0989738706164044 0.149675957223587 0.0296776808299287 0.0592219573708272 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.064237424127513 0.0977675983252062 0.0125252197399495 0.0252943604249457 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.259292587104592 0.381358299131124 0.223382542502555 0.356647237918306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0691255999979419 0.107562832355855 0.0139070333896897 0.0306009898956157 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0331431280244505 0.0506935369074413 0.00294083910337169 0.00712211830121822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0214439445157587 0.0304807560416716 0.00112123676074896 0.00274314360832089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.256720213212426 0.309330365002073 0.209650026750904 0.235995674130001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0706451694977479 0.100994973330439 0.0148110519176871 0.0268320403046492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0338878243760362 0.0551823198404732 0.00350257979834748 0.00795524911742741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0213584204248233 0.0365297885902047 0.0015100363352188 0.00339846208749723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.4706324570695 1.6975623860474 8.48716654832451 5.92448449219247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.569510211289261 0.751077750455734 1.10771733004982 1.32244660900571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.306136214448122 0.437121727936433 0.301183153631254 0.474752106928297 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.194957373547312 0.289309915285907 0.118474863137028 0.214383315520479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.855006346891765 1.07972252908612 2.83153897291497 2.58808650601187 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215231388358351 0.321949657537514 0.147701350394434 0.260489402056123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100930641069503 0.153362245102227 0.0296149495841574 0.0621324809082827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0620968062029181 0.0913379068194948 0.0105574064461709 0.022869746265302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.805397295670559 0.897397471451328 2.37192045802589 1.79524277576764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.216208265219095 0.299994455400741 0.148000452055187 0.225907421383803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.102099969908704 0.165413668036191 0.0320223879407808 0.0707305303808715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0619655583647022 0.109690053933136 0.0121353277156937 0.0312667374556412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.53491786621017 2.76313808021676 26.7330524903194 14.6554231364528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.981095162258581 1.20420781064651 3.49512621149671 3.19931424617771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.525177575415057 0.705068692163722 0.929637806164157 1.17432456512065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.331067600368858 0.470419176820128 0.352865019205378 0.544946549368884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.50935812141774 1.75822791714796 9.4726333004106 6.55875600046126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.378889257114546 0.539521317887639 0.492170896764265 0.704792187779705 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.174619229740153 0.260871328815293 0.09338637873088 0.175392668846396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10613726344695 0.156183432392484 0.0322397438080019 0.0653897766001416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.38091125499795 1.47937854069234 7.56988891108716 4.62829609796556 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.370241635009506 0.494478844135023 0.460480976023067 0.589866233594382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.173498123275644 0.275768203005412 0.0964842004101455 0.192062650898557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.104548392244918 0.184581362731265 0.0356579028743058 0.0875377130971016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.58332916108758E-05 4.28096638573757E-05 1.64292622259848E-08 3.54532974417527E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000272123507779208 0.000145011106663968 3.16516439902281E-07 2.13928557420728E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000592759788342432 0.000303792084195193 1.51479520862923E-06 9.14674437251775E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00114950034305147 0.000559866080411977 6.06282399738257E-06 3.45594002317525E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000126799646072637 0.000217676568439973 2.28560609618501E-08 2.16739695788683E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000604752982743471 0.000931285961242142 5.05343337628733E-07 3.85451997664308E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00135298531702162 0.00204974631932751 2.51682494637646E-06 1.86453738498024E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00271156371630492 0.00361442314747357 1.55285251988981E-05 5.67081988001413E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000294521337428388 0.000689716624495794 3.91292752207513E-07 6.50043068642387E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000738307203275791 0.000959249410248922 2.54967777410913E-06 6.31354747165062E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00152645226049287 0.00185515082817597 1.12124218263484E-05 3.03368237640696E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00277584868487138 0.00320758922790733 3.49965680531116E-05 9.22916606815511E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0301689211463849 0.0368559060758934 0.00250126268540462 0.00385982326789864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0125438114384783 0.0153756865403485 0.000435986374936069 0.000670096578741531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00703751479338188 0.00867853855147039 0.000141876190485708 0.000210482600625425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00474142520185093 0.00567514104163951 7.03569057391834E-05 8.63199728290549E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0167705248599549 0.0224049953374051 0.000753346121251198 0.00146546062628171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00475609936352626 0.00627556269522485 5.47532228673824E-05 0.000125380034694508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0027510228253945 0.00341399965922274 1.30510670938568E-05 4.79510105135202E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00323483147846786 0.00377240800494694 2.03592309424628E-05 6.45938992272817E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0177637224823232 0.0177323513016268 0.000857390882057088 0.000900318131451209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00507201731124598 0.00576419248855321 7.55271994461397E-05 8.77375822956139E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00293975698414026 0.00355398183748457 3.08964462069383E-05 2.49696071257914E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00328961045133679 0.00371918660885032 4.36710692894334E-05 1.77599944745604E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0602967877235159 0.0737361425867348 0.010073474520487 0.0153388398673381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.025078000220728 0.0307511064162355 0.00173621163527036 0.00268123483072478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0140308960534764 0.0173480987085692 0.000550438133583631 0.000849418521918804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00921396588617848 0.0113078865743675 0.000248780392715119 0.000353946288513469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0335387933118271 0.0448072753120402 0.00303753625052678 0.00581849624339221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00941827251048482 0.0124760833005113 0.000225246463550493 0.000472047688985752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0047375995212143 0.00610751580290499 4.74428588374334E-05 0.000133352794959711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00416300355215168 0.00467818191000884 3.38328746299558E-05 9.54112363913276E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0355176411084552 0.0354431666082698 0.00342313237959695 0.00361160152583404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0100439987744153 0.0114106160052368 0.000282503878701635 0.000364316163256776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0050396389384118 0.00636736175857673 8.1303825153312E-05 9.87961587521709E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00417707550876678 0.0050378495043791 6.42612583441678E-05 4.54803961144079E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.120250953619177 0.147742312148052 0.0407630957267753 0.0606128249254759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0501278140599396 0.0615271198269849 0.00695681968219292 0.0106900799717776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.028034986230162 0.0346964081848826 0.00217551062154254 0.00340703157580075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0182753963534221 0.0225969701435076 0.000944396474915183 0.0014340950892826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0670979781325406 0.0896279272595713 0.0123111682154245 0.0230479367398872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0187927326034374 0.0249268375080265 0.000919068954681151 0.00183438154774177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00902585548667371 0.0118653790554731 0.000193213526187762 0.00045526751046325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00638024703821385 0.00756367578355003 8.74605271709518E-05 0.000218701964422004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0710135827486231 0.0708946008665897 0.0137682971619645 0.0143821679963196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0200385196265992 0.0227493860559882 0.00109812004639971 0.00148753984616821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00960633575842425 0.0123601459925934 0.000271534774638873 0.000412172343193337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0064624787555247 0.00850805842901205 0.000138931334455954 0.000167211977163042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.359249751358612 0.442375926202352 0.394451324547877 0.500586189127954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.149584226484144 0.18522276706491 0.0633702560325559 0.0946538037442392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0839261043934548 0.104171122625083 0.0195726913846405 0.0304650581317549 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0546281427227215 0.0677765282778067 0.00828185542401376 0.0129500062874501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.20203416647259 0.268483825053775 0.117193225999477 0.198683200047929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0564033636394675 0.0748258886979576 0.00847659176489488 0.0161480918278286 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0267075221496114 0.0353159668735776 0.00182356667885092 0.00373672650460979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0167198104346256 0.021065975307951 0.000691993981612366 0.00143155816748022 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.212021129596022 0.213639739296457 0.127183359117347 0.125666931391968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0600869087515744 0.0681741481194966 0.00979054411662327 0.0135027392249042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0283482315590736 0.0367452706786738 0.00222071703847544 0.00387856192998248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0172959806129327 0.0239998462060168 0.000877965826004264 0.00158564443493853 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.607197613339214 0.724263771891603 1.21999271156207 1.23796318865877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.24826355254779 0.309327221661294 0.179349258553642 0.256487438897726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.139411522457707 0.173903188656462 0.0546032102957016 0.0838847884076708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0908630086615268 0.113007917758649 0.0229593612804102 0.0358086107970948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.340371623581513 0.444681276077847 0.350957423805173 0.519824372312314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0941954163278331 0.124942185091623 0.0239316851773398 0.0445776983499966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0445510081959805 0.0589771587933098 0.00515951916846671 0.0102415953277798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.027549013876801 0.0350042206404432 0.00193966100939154 0.00378961387616628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.350647875883986 0.358501944498048 0.362941624999856 0.337773064120405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.100138125919955 0.113660505153069 0.0273570456377551 0.0373410948241974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0471726161779747 0.0612350768909916 0.00609736731486562 0.0108705422465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0285360704746366 0.0398730361982421 0.00232449917968093 0.00450883121372491 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0955914448569354 0.118102009103975 0.0261331714862818 0.0407466490663294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0394806074199005 0.048909174168778 0.00443604048230704 0.00707664947468592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0220205073945703 0.0274885169397572 0.0013913543779646 0.00223790090259855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0143348103185972 0.0179067360521825 0.000607373107459583 0.000939618478429866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0535041309833546 0.0715104573478854 0.00799809173233925 0.0152770464073991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0147671512805192 0.0197378379504247 0.000585412297544888 0.0012116201429931 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00716079366280164 0.00938685780666543 0.000122728080887093 0.000305330467219065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00532493371563604 0.00632874736975615 5.98037514908865E-05 0.000162557303239564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0565709166065982 0.056689897974714 0.00894256482048793 0.0095777291316559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0157224237222092 0.0182650043515661 0.000704527900713706 0.000977968402743827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00760341637847344 0.0100354587513526 0.000180709523118864 0.000267753053040248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00547750199197867 0.00725116274278775 0.000104609320579446 0.000116247725765385 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190326317313954 0.236778195490501 0.106531427948682 0.159201195422421 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0788317768599344 0.0979187309868283 0.0178103205235199 0.0281416883396394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0440055127413883 0.0549850133648255 0.00553655446630731 0.00894513138248811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0285761678465428 0.0357967701898017 0.00236263822198108 0.00378188748970752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107195114589363 0.142909448875091 0.0327511551330119 0.0600556912851566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0294989505715262 0.0394657352078097 0.00237765608756551 0.00475617103119853 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0140255115819254 0.0185464840231727 0.000505961841546853 0.00111613756280374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00913792810060578 0.0113973778510122 0.000197754239244408 0.000468350191430393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.113089186947054 0.11345300725747 0.0362008379911039 0.0378690986145715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0314165333102766 0.0365054037562648 0.00277787993097311 0.00395821728489019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148966659563616 0.0198094320553326 0.000655480653973219 0.00111130551484021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00947535680929415 0.0134273180963378 0.000287846567356649 0.000469948011527748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.381988466403465 0.470116196244154 0.459432276858962 0.585537517763825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.156971675640107 0.196346798443585 0.0719118623872563 0.110954755898989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0878231859397787 0.110079852519368 0.0221638453968829 0.0355774377235177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0570566767044024 0.071599295713088 0.00935189707283735 0.0151197979041995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21575948481735 0.284770226058246 0.138389300077323 0.230145502772038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.059024916035402 0.0789773919739857 0.00965678403596495 0.0187920270655757 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0279126923326005 0.0370267528086008 0.00207772733144512 0.0042854266104533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0174195083537621 0.0221839883285403 0.000774700953881427 0.00163154973977702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.225425834743216 0.227673001392568 0.148241551025631 0.14737182373073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0628097705585516 0.0730274158401041 0.0110974765145401 0.0158569246536419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0296353110784817 0.0395064758267786 0.00252298779210962 0.00454173699119028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.018125356541302 0.0263319692260468 0.00099076674751025 0.00194741365507552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19633216956279 1.34605919634065 5.45741579148206 3.97406222656376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.472592099537646 0.582650892086064 0.717813714107521 0.887810885029859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.261534390778951 0.330096814178527 0.204727930990137 0.305317761060439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.169788605290332 0.214832646749694 0.0839275344016399 0.132979649878835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.67781505946971 0.830344703529229 1.62015597958695 1.69761476414676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.179174282130773 0.239062243786927 0.0925282047231318 0.166848585355518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0844270677967908 0.112318377136054 0.0196427691881938 0.0381782994864443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0519800824155145 0.0668578888728966 0.0072760319925108 0.0138759587308223 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.667280788616211 0.688862009388432 1.50117875966559 1.17246342329803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.188173304200648 0.219775634154862 0.102356669882231 0.139748081448618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0887869898726335 0.119222489012852 0.0226311725231467 0.0414995995896955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0536441770000854 0.0790924555895449 0.00841699458248209 0.0181838032232808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.05970789127067 2.21497696324134 17.272997130888 9.88100093960891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.798443782400425 0.948002958302585 2.21740039707659 2.1770182794245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.436481552884399 0.543825026561737 0.598873144152658 0.786939112953748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.281547862558217 0.356003530282729 0.2363661701899 0.353461225533981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.18294984474097 1.36545336462875 5.47618561969549 4.21974987802509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.307002109627241 0.405490151310414 0.285628732340233 0.463104261104677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.143659075707838 0.192066421745496 0.0581391507328779 0.110291593465409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0882006687528687 0.114406990093581 0.0213486950262306 0.0401188306167559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11916435427044 1.14931141896825 4.69405734936835 2.98946961941544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.313368487379991 0.368350468692236 0.295636102105892 0.376864277014531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148278053544456 0.201153704196645 0.0644481795899101 0.116644709055838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0895736178365159 0.134010699473361 0.023810986391818 0.0519734025507808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.48849281235582E-05 6.24494240206018E-05 1.55384069281501E-09 3.3981058149164E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.6444834534075E-05 0.000302471154715653 3.5851482936637E-08 5.31912026551948E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000198798307882271 0.000669290054138849 1.54603728571791E-07 2.5298018124941E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000415510808066846 0.00139662273534084 8.34501091264655E-07 2.69002460259415E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000171720738917204 0.000126205611223561 1.40040790485164E-08 6.96397059546162E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000805661365101954 0.000598728834713054 2.4195414813641E-07 1.519527741626E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00179745247648357 0.00133787625462035 1.19992678326384E-06 7.5374291287873E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00311838899006703 0.00283988327359443 6.72158988296104E-06 3.57939326321943E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000446990484982687 0.000382973245606074 8.77294424557725E-07 7.04171358077608E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000481455071003884 0.000742177089375089 1.03147932414932E-06 4.2131821798417E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000858676332669695 0.00145452090193646 3.43495776975104E-06 1.95705252716316E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00145528769974345 0.00262155246061855 9.27367066243308E-06 1.05901059085867E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0426960220310435 0.0348657318213189 0.00500206185859017 0.00318161680062476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0179788046160247 0.0144594577413968 0.000881829882319627 0.000545024994974443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0102646324319764 0.00806843941002306 0.000288534956898771 0.000161678753617368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00675860200145043 0.00546127840221281 0.000127919119273117 6.4238417208606E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0290028715669267 0.0183032889626509 0.00229471612600048 0.000869514352507316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00813833766372752 0.0052315082172234 0.00016560625592533 7.50053218196117E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00408985057407924 0.00286879929556091 3.05596316126348E-05 2.58634263548741E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00362289536078891 0.00333883115148384 1.56869693931657E-05 4.33930446051114E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0234408704512849 0.0190987380969033 0.00153991121457888 0.000927791054466806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00736406307474408 0.00551935859871227 0.00015788574371536 7.07266067960581E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00398730406160957 0.00302827816344176 5.05509442591105E-05 1.50597033863722E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00295531271204989 0.00315543138015068 3.07840435763033E-05 1.49815434538896E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0854650990925819 0.0696439262504396 0.0203177191561359 0.0124704218183402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0359622398871551 0.0289044531017967 0.00354063920207757 0.00218005195151802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0205286782211241 0.0160859578557354 0.00115134775085653 0.000660956153039934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0134957953759898 0.0105624834049039 0.000502081600843512 0.000264713352863038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0579725988485503 0.0366402051073823 0.00926945767446292 0.00343087509064291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0162350219279145 0.0103955797286634 0.000686356823580781 0.000287695500411891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00772904831558018 0.00509935137968724 0.000132966135196505 7.54010185631875E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00523348060201631 0.0043588826657089 4.61344792737771E-05 6.32388077052392E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0468689959353842 0.0382006058574533 0.0061734756204447 0.0036964816134538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0147014371073808 0.01094557943578 0.000616963256782683 0.000292990029002569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00782938107708337 0.00535600421061362 0.000183045696178906 5.91213533157217E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00528499960279139 0.0041584792617635 8.93805207885471E-05 2.90325643661546E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.171276768654125 0.138869050788566 0.0837849010580338 0.047820285270219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0719526744637224 0.0577797636056888 0.0142964951915689 0.00862234385188548 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0410627224135083 0.0321388339297337 0.00461831691734615 0.00265926821223709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0269827961052224 0.0209038991448766 0.00199583886551654 0.00108653529781599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.115642114880581 0.0736162595316878 0.0375531548635646 0.0134915044052857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0324522789763946 0.0207656591311474 0.0028066439241833 0.00112457370254642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0152288615264702 0.00985054540558444 0.000569144996974961 0.000266080964131156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00928794843941421 0.00682665745951056 0.000183059494328469 0.000136002314881864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0936378172512001 0.0765176111450496 0.0250119592617153 0.0145540819133733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0293858249263001 0.0218473748555389 0.00244835878911485 0.00119062986154831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0155837546912853 0.0103499781810455 0.000701872841775457 0.000246579700223204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0102052419287297 0.00668849565818558 0.000312912179685484 8.91629995244735E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.510257711552478 0.417546719573952 0.81766500954417 0.387318157986116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.216049930956054 0.172857453795512 0.133781440761153 0.0731495842800471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.123145187536886 0.0962958083874421 0.0423322449061362 0.0233823826623394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.08089091067423 0.0624209161569387 0.0180730269863207 0.00983488192293013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.339367983153067 0.228624523169158 0.345904491205153 0.121678297918184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0972111758905347 0.0625154981160716 0.0259613195202928 0.00984002790180732 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0454895655686823 0.0292764162289059 0.00544563359300429 0.00223176951339306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0267822470453243 0.0180670418544669 0.0017973403943566 0.000870171149776921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.277639533149716 0.232696663716173 0.235306109580257 0.125893465042915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0879450052619193 0.0656428963467818 0.0221699419488332 0.0106583591586952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0466543740066922 0.030742155959227 0.0061954881794797 0.00230604770708472 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0302285070857312 0.018342140250595 0.00262973100723128 0.000781949764585948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.837524250152341 0.704453554808063 2.36908564584947 1.03012928561504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.359594176404749 0.288163797931243 0.384202279353635 0.194351991297628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.20517237701443 0.160422804326372 0.119852654178846 0.0630813880252568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.134768100547946 0.103955354620594 0.0507433686737119 0.0269230368990099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.553649433324591 0.394032698108648 0.975709681706821 0.347807132635321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.16169968937124 0.105060836618186 0.0732623521926226 0.0271335538447541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0759070177511426 0.048896849460074 0.0154668535469458 0.00610962396782743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0445898821955933 0.029766277610461 0.00516614103816139 0.0023171222882889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.457008399167688 0.393449035841874 0.67671203960692 0.343893829014821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.146085045898012 0.109938421637909 0.0621600111437723 0.0292989088275405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0777261540208909 0.0512936099183962 0.0172606872540497 0.00641789419604012 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0503538016236973 0.0303779002810842 0.00726747630880016 0.0021932195168752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.137908522131114 0.111717086922778 0.0549971888829243 0.0323231970143534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.057650956510203 0.046039765512445 0.00940373657186869 0.00569393761551738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0328574638733053 0.0256060929822341 0.00304297722274711 0.00175360170829763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0215884982216844 0.0166595271596444 0.00131876939795569 0.000710538388694213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0935909630286592 0.0602072465592817 0.0249502217363002 0.0093703821380813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0259791943969686 0.0164926386945273 0.00183852062486003 0.00073920745113949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0122838718283974 0.00797625089141536 0.000374325348532765 0.000183450919294192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0076849114268394 0.00583261603220866 0.000121259311507745 0.000102587492616739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.076096446287574 0.0625038509016431 0.016606705307608 0.0100821553572748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0241976856782815 0.0173094930955082 0.00165480349788295 0.000776329524367367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127725909830756 0.00834767105820319 0.000476496352353323 0.000163709928294614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00848776600053126 0.00569333101256506 0.00022061279163365 6.3468108475322E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.275661018561946 0.223322705640865 0.22898842840893 0.122627955370036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.115290612970319 0.0920736308488314 0.0381571020831481 0.0223165499896856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0656956547010102 0.0512101926416334 0.0122475102872475 0.00699235681304579 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0431622123073502 0.033183410026249 0.0052720545683029 0.00288792105802786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.185590315054902 0.121991146292761 0.100967664715548 0.0372257859300879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0519256349559491 0.033013718217035 0.00748185999277221 0.00290566670647806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0244281631273318 0.0157106831344467 0.00157178778678811 0.000685931322346932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0146023810119346 0.0101401019547709 0.000510033642550682 0.000289589405884525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.151593927408234 0.125605707186355 0.0677786931286914 0.0395136938340572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0483601487368112 0.0346194703199152 0.00661305146288431 0.00312225390703364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0254927478077704 0.0164558102209604 0.00186365197997647 0.000678078496032678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0167596463279169 0.0101692625021442 0.000825924966720424 0.000234299332472685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.545624030773001 0.450118206396712 0.96454394919811 0.462126422073033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.230547995048735 0.184136745930669 0.15715049307625 0.0857343749493882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.13134331325957 0.102460827028629 0.0496962843330124 0.0274347697676846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0863079500842983 0.0663114849820259 0.0212364855115219 0.0115276561639513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.363575992274903 0.251883861769042 0.409199981403698 0.151884333339372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103715746898288 0.0663880537227668 0.03042573477656 0.0114783152434068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0488311270734173 0.0313595178902734 0.00649814075052891 0.00265911997685771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0288473774351827 0.0193566126790942 0.00215251352784021 0.00102417240775248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.300088379612046 0.254469240236123 0.280491195161178 0.154389361958462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0965494121218032 0.0694261169993991 0.0266461923972242 0.0124075070429206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0509408809678293 0.0328262037054327 0.00741077218236383 0.00275491788133051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0334069205878633 0.0196881028751483 0.00322266834405824 0.000941159650222596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.56760916496237 1.41240140285458 9.43732029785834 3.91225553989405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.679103486112942 0.559512302080159 1.51036073108523 0.715272560011438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.390268427950718 0.309292040047195 0.466688023863985 0.232157711428283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.257153934893531 0.199409570743905 0.19590803377461 0.0995086737400294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02791870945219 0.825838778449427 3.82633181232862 1.48959926218232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.308285118467249 0.208374089909403 0.285353856781914 0.107408938417729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147305848981605 0.0961866229473971 0.0618908114033539 0.0239861927859162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0870799998138536 0.0581776381450401 0.0209552657348219 0.00897917086234155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.873540606070831 0.789965409607791 2.779756945246 1.33113102903493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.285646182054732 0.212688854988557 0.246618402974755 0.110012614539682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.152206109442333 0.0993508669434899 0.0675993717874126 0.024657337464333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.10028328219576 0.0589319850465514 0.029176322774753 0.00853225374651734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.58537428085855 2.43373064261925 27.4003294230229 10.8512177665973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.10776473323559 0.945426805460281 4.29442402971846 1.93153316123862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.640592502060144 0.518907953938854 1.32055322761736 0.624173652033465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423630783860683 0.333535230653056 0.550397361665632 0.267682464816541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.67420599635515 1.45984983077974 11.1528286987457 4.41297162211299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.51491746790197 0.367472274589435 0.843063314124101 0.324903924223037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.249680377338952 0.167235511940153 0.184107336725637 0.0710036741803789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.148430901102059 0.100036900893252 0.0628089621712168 0.0262237841928317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.44294038945922 1.34968203071463 8.30106567094099 3.66630392920604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.470203032026335 0.362338195779739 0.705610579258208 0.305758620268581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.253075133920974 0.168541521692946 0.192457365486256 0.0685643215884304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.168224381784018 0.0995006758986066 0.0837411804282259 0.0236604455849074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.83622360080081E-05 6.48764067921799E-05 1.26602406804025E-08 2.11519393283118E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00022032218128271 0.000261777581969758 2.12661414063086E-07 2.58320777521666E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00046493570542169 0.000569060816515926 9.55782197255117E-07 1.22806763397862E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000969004029923869 0.00121134044547435 4.74508625813811E-06 1.78078543525061E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000194619380931208 0.000116494075266511 3.44334950897684E-08 6.16607964435422E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00086442950989083 0.000581757652495602 3.12002213171741E-07 1.55634706383254E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00193141983778537 0.00131284424318045 1.3413888057312E-06 7.91599771742821E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00354049284437506 0.00280248682271735 1.08455396701112E-05 3.45695265787832E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00026246517240962 0.00111200364440007 2.5943733179703E-07 1.27426649496494E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000754743063126059 0.00104265415790706 2.54762767196366E-06 7.89239420165051E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00164231985584407 0.00184360248812912 1.18893872302321E-05 3.34389198226061E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00278867789160935 0.00289468088180544 3.27130038967136E-05 8.50723957986291E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0432019933260854 0.03495501672293 0.00502593686950345 0.00325231093525241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0180114136730828 0.014406374876372 0.000869821041131238 0.000545772206900322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0102114644929147 0.00806220834583539 0.000285135782166148 0.000163625367186515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00674783305401403 0.00539804863106681 0.00013327791193087 6.42503935972234E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0273978952324082 0.0193450346352982 0.00197006894400951 0.000981868408374268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0076910286227853 0.00542368477858125 0.000141182226101872 8.16260522821974E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00403552770311447 0.00297146745137601 2.64268208863174E-05 2.92490300950403E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00404824244707683 0.00340878361452578 1.90524698914409E-05 4.33080939234547E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0257619646711301 0.0156249722824873 0.00175473336768534 0.000620038197453607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00741772937234 0.00517415924689121 0.000155386037208324 6.09575623870172E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00386179802551665 0.00343588204293283 5.10725918088989E-05 1.88135313239875E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00349349597791768 0.00363644385482452 4.8036549895038E-05 1.49308534653824E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0864631165037188 0.0698363252531252 0.0203121095577385 0.0128328506624915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0360260855822886 0.0288074014631796 0.00347538460948307 0.00218812007183696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0204129570760449 0.0160998195332259 0.00112254001761687 0.000669048041817715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0133901450708247 0.0105356731443591 0.000498940774890786 0.000268394780754901 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0547933306495393 0.0386923915205449 0.00796009807746834 0.00388245881845378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0153100336099746 0.010788759688982 0.000587114945276821 0.000311622318316565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00740735249050929 0.00534051783247572 0.000114043627467892 8.56131329929885E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00542671473036274 0.00443729922842085 4.60513481886365E-05 6.5161715815334E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0515080760169426 0.0312075491481723 0.00703382233296218 0.00249778533380151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0147932050748384 0.010165290632686 0.000596521628263105 0.000254634461945612 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00724957137546945 0.0058074559001806 0.000160100804898924 6.95447104428497E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00508635709103006 0.00487899727564824 9.18979515466278E-05 3.52240374699499E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.173332800715299 0.139174971649664 0.0831218915537834 0.0497273430926061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0720705763309312 0.0575901456967808 0.0139669121177152 0.00870014273006802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0408257870757528 0.0321846240077983 0.00446807667495367 0.00269725709372009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0267228925805539 0.020943835776341 0.00193980229992566 0.00110700122097672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.109547684413642 0.0774276563555913 0.032341519992787 0.0152541379807232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0305848519887413 0.0215514699298224 0.00240469200605532 0.00121629063339314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0144637550467465 0.0103764411579843 0.000490030473571017 0.000300884029203547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00912670846773963 0.00702262303717172 0.000165797903182602 0.000147006711717102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.102935411741767 0.0624584683241209 0.0283534330768105 0.00994428424015888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0295658633438388 0.0202416742794006 0.00234657780403789 0.0010437522163742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.014265209963796 0.010985941257677 0.000578164736117494 0.000284801927762188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00901971647891303 0.00787452278150039 0.000256943995030413 0.000121948336229086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.51948724567494 0.414780251782899 0.797634276011767 0.403703281878957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.216698088848043 0.171953162489956 0.129305487804853 0.0749503669362758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122495784534175 0.0963787997812007 0.040565121024727 0.0239382096707609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0800904611286385 0.0626634064772701 0.0172671033793792 0.0100861596489778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.326713544007468 0.234243908513367 0.304014097634356 0.131856217422038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0917082641360194 0.0647278145089975 0.0222540414545382 0.0106533087554553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0431047860518096 0.030892168269888 0.00471090075458536 0.00251058508332432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0256869821851447 0.018947445478616 0.00157714489139149 0.000978723979854951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.306627848295297 0.189263497375164 0.261444890883509 0.0875237713434425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0885970428995294 0.0606681501612807 0.0211335318380761 0.00942139844818092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0425802255278186 0.0323201419565272 0.00494480332023439 0.00265546323073154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.025946011194396 0.0215659434571398 0.00191542754747689 0.00112375106203208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.852893467947856 0.69872249654574 2.28445776702126 1.06438959601233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.36172511153278 0.285487432133933 0.368773487760665 0.199544728309432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204399179073673 0.160230518319883 0.114326998994556 0.0649558890691952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.133519960737119 0.10429830406963 0.0482161789309774 0.0277528699678169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.538907883304492 0.396804378736576 0.866678393238259 0.362675329185488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.153055989660912 0.108245035468153 0.062992970566565 0.0292511264408713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.07198658281134 0.0515694323732665 0.013394734386937 0.00687031609388197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0426962072808475 0.0313401537524581 0.00452376779115306 0.00262213632307905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.504719696246345 0.321648985230849 0.734122718515628 0.243048474374974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.147617876755604 0.101193868683737 0.0594169655029838 0.0258771171441189 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0709818454037765 0.0537940292262008 0.0137457612328958 0.00738990419489909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0431230067496448 0.0356872971023513 0.00521093925091839 0.00316981497684501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.136882974775773 0.113650108906706 0.0531243001991473 0.0340947188111213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0566376576949161 0.0464522821666155 0.00895050648340315 0.0058329224841373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0320736789098855 0.0258623615864098 0.00287340335603486 0.00179424319891188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0210352116054975 0.016814562806621 0.00125928325370066 0.000731401583494455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0871303346804665 0.0615549716936312 0.0211025606734203 0.00998235866578262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0238453705167603 0.017043036803199 0.00151447472073385 0.000798887630358183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0113890304916035 0.00826249538528393 0.000308957773743198 0.000201071972408899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00754160013479615 0.005952950839847 0.00011100276847943 0.000110406223021859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.081987130488741 0.0496974310874453 0.0186658694036204 0.00646759870336958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0231326613246015 0.0161688090437873 0.00150114393143869 0.000676299617788033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0113410107859603 0.00901093967090395 0.000386282056016115 0.000189681163910543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00740606216312624 0.00666055075799776 0.000183702612034233 8.18474118164957E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.274661505231091 0.22618726399842 0.219459534718959 0.130020761540879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113404780520867 0.0927770674996634 0.0362228836858074 0.0230046836945933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0641727623755678 0.0516887626567076 0.0115193604274846 0.00717434927076578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0420369138736836 0.0335219500772256 0.00497370855614793 0.00297361450340437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.173929590139034 0.123509953877152 0.0859052869953917 0.0391862758572355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0476782018635113 0.034069061022127 0.00617368937837682 0.0031380479963283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0225534103032866 0.0162735674839267 0.00130342802856796 0.000746239285220233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0138740592972979 0.0104325266591893 0.000445213399080201 0.000316469368846308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.163708635874653 0.0997047095101807 0.0755114499219443 0.0256198018404282 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0462518691340969 0.0322774872919974 0.00597140664773646 0.00273686672269476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0225010449752874 0.0176484085511703 0.00146114835026785 0.000784096535339468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0139544813329179 0.0119810502191255 0.000600608569785855 0.000321835747988692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.546817614578619 0.452403832758227 0.914540439393392 0.485771501372756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.227192604376784 0.18501736632159 0.147855313425563 0.0889601135622597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.128402863536265 0.103252466616415 0.0464808296605027 0.0283066575927221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.084038728797394 0.0669623255163204 0.0198500863473502 0.0119090936331602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.345133596977301 0.250039943978765 0.35142079985852 0.154421011860402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0953781119753525 0.0682426549532781 0.0251195367192722 0.0123606358757913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0450241124822678 0.0324579500514347 0.00539217683092202 0.00288306131305868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0271029198583861 0.0199914859966747 0.00185197618923685 0.00111771667535731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.324877328864836 0.202091376164807 0.305691409586505 0.101847709403369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0924469720816289 0.0645623465835095 0.0240067498167749 0.0109048561576491 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0449046754167172 0.0351201704014968 0.00573521791441696 0.00319008695989617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0274581912705126 0.0232429507227317 0.00221991127562608 0.00132248446591272 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.57344998128468 1.4016962185559 8.89424582015102 3.96758372265256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.676144975191877 0.555862977158728 1.40349939749847 0.731063239583015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.384786127276679 0.308467928281862 0.432343088454698 0.238668307263735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.251845869018704 0.199950119824704 0.181558723206589 0.102996380214831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.997790185747407 0.796144742114787 3.33946691259814 1.42281546726647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.28819297805391 0.208531024388872 0.238960668157803 0.110404712162499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.136598673178031 0.0985215459261016 0.0514849446480775 0.0256115888191552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0817444833167689 0.059838212574505 0.0178666453786154 0.00967202112377596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.928916817086315 0.65451209039486 2.78515802672379 0.974649808033851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.276334780502255 0.195275007727282 0.22356209092854 0.0958420918770015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.134983690326203 0.105738738313411 0.0528490852841238 0.0285317736035183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.082118064174356 0.0694479640207204 0.0197284287509328 0.0121519881517455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.58113330414186 2.40125885639543 25.8276221079312 10.7873352351352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.1038391569163 0.935819557424026 3.9730958841318 1.94480354258707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.634676131472714 0.514469031331442 1.21667249972047 0.633691622252142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.417008717755379 0.331987977171001 0.507232452719137 0.274464637964526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.6271713732369 1.3951482749169 9.77112281009252 4.11141963903479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.48714253437528 0.360020857825127 0.710193363604472 0.318430154636477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.233289117579586 0.16845939929926 0.153462226536364 0.0733502549329855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.139698563919391 0.101932096231413 0.0531345597731427 0.0277562961866235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.49342293212244 1.15830778470061 7.90056641923493 2.8766834750981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.457694421185744 0.330735922498228 0.639767297918832 0.266424413288018 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.225947344221716 0.178048097510959 0.153126393616968 0.0789370396164141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.137668883078913 0.117001284564303 0.0570831758459921 0.0340089058033212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000163424301716588 0.000172244292192127 1.13435674141639E-07 2.77850004838621E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000575091904506677 0.000591645123332576 1.43544547014625E-06 2.07977142572095E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00123252358563184 0.00124081289675437 6.61622964394441E-06 9.2515782545071E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00231339941675425 0.00228050198158891 2.36066174079554E-05 3.42633292037054E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000209574568460466 0.000404828071608358 6.09650257342494E-08 7.63383891508045E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00109904706191597 0.00175512471266539 1.34287229827055E-06 1.44627780299468E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00249902295876825 0.0039478202713912 6.70273871482183E-06 7.19282843935634E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0048512735362864 0.00704364104802139 3.68701863986507E-05 0.000215900050187364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000750088411309037 0.00198474442530045 2.05455625803309E-06 6.21250237122017E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00155497751127571 0.00270374640927881 1.08209010704409E-05 5.71731513645128E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00320877254451475 0.00517066808195495 4.75856639438787E-05 2.23424667464688E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00560161228774997 0.00861043621230277 0.000140107450488832 6.9899770623368E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0380654997509829 0.039281336616479 0.00406550297832213 0.00432719728393101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.015676832149385 0.016260666934454 0.000698206829502637 0.000729997315876913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00882273984284242 0.00929984414240436 0.000235403715396761 0.000221316262384511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00612014581955561 0.0064421686785764 0.000129066792567272 8.70309087843127E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0208180161723336 0.0249102024515493 0.0011603445175163 0.0017264071310917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00596245927206897 0.00708641724768996 8.24776811135665E-05 0.000162467721375163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00399779943849422 0.00519785988043427 2.22817826383796E-05 0.000111996506269535 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00537513148159203 0.00729918429375546 4.35749729976341E-05 0.000229405336410315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0213152720192334 0.019943777476206 0.0012369151910029 0.00106671817972327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00620181138751894 0.00694780457822841 0.000120471636098541 9.91971740422431E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00451458377423079 0.00647951113393516 7.93831259661494E-05 4.63583027953894E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00604176216860829 0.00914610097392809 0.000154629769656477 8.00143924299549E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.075996573895229 0.0786919044862594 0.0163054749224772 0.0172189283252625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0313332503890999 0.0325116021996433 0.00276163361388691 0.00294676270569102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0175327009839551 0.0184836039886205 0.000889363413291279 0.000917917005613183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0115772550410324 0.0122809214736205 0.00041852686900583 0.000368363459000899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.041627593194463 0.0498237704955072 0.00469282427668063 0.00682567711590624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0117137405709044 0.0137951571029237 0.000342635669290414 0.000571880492194509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00626546516051452 0.00769355345150262 7.32905881891846E-05 0.000220240593138821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00632222367914886 0.00808090783614195 6.28299128092706E-05 0.000271650667464053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0426074168693286 0.0397966905472822 0.00492941687600219 0.00429606814033229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.01207010186363 0.0130123460972221 0.000424638518197646 0.000409577472082969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00669112603861513 0.00889033743887744 0.000157824591332055 0.000124373996261327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00688846875193053 0.0102147164695478 0.000188751718051499 0.000111151452474544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.15101879321909 0.158318417522128 0.0653430485389027 0.0683113758521245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0626157743687415 0.0650542509672225 0.0110159139930215 0.0117965214539624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0350018814227865 0.0369109463450017 0.00347073114312232 0.00373831737859508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0227935465204025 0.0242528338589331 0.001529041618246 0.00154271084654883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0832023796224124 0.0997069863897743 0.0191001101132289 0.0269052839054435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0233210759404491 0.0273980896835393 0.00141081016621085 0.00215782395716985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0114590273018613 0.0137098028609539 0.000294351843298716 0.000621691986906158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00873501232414519 0.0105875215543004 0.000140754238370862 0.000432087713826412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0851143519300204 0.0796572479123349 0.0198369272053272 0.0171395055418118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0239764820128581 0.0255694779254311 0.00161160576867439 0.00170349413061772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0118819339628707 0.0148629530695035 0.000448788178375824 0.000465547507651807 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00918340600239416 0.0131205468586004 0.000307198694865031 0.000242824281468589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.441113788045531 0.485008951362433 0.600624291038096 0.589188124637466 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.186160597308861 0.196630386274733 0.0988865056983458 0.104880153285004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10468479104363 0.11083209498212 0.0308912927230879 0.0337382142478211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0679695579194266 0.0725169102335611 0.0130914666840332 0.0143193543987487 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.249153394645419 0.299918529789227 0.183691190789559 0.231427642227902 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0699189639379059 0.0821333725691367 0.0131668257329273 0.0185976011741427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0333936667460093 0.0395261361454524 0.00282650975436325 0.00459034351805989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0211837842741321 0.024873397655398 0.0010451334277494 0.00199886585970681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.253303221501426 0.241179015023586 0.184587414135751 0.150611416468454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0717332366973528 0.0763757213677764 0.0142179231387926 0.0157449436365205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0342144069973568 0.0415811519667705 0.00337331368977846 0.004437772228361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0214109613221487 0.028755957009037 0.00143503083683239 0.00182202154883146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.729296880857404 0.809943944821985 1.76236920997437 1.52943916783501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.306225734276156 0.331071878848059 0.274123677227073 0.287634025457087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.173503929187429 0.185445108783689 0.0855014737513323 0.093054527544023 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.112971207759362 0.120953356738785 0.0360680049144579 0.039775864030694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.416325595269396 0.49983144435594 0.545584504453207 0.616064367510024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.116684289396742 0.137295370978356 0.0374219764905401 0.0510220334855921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.055645343881229 0.0657843647888671 0.00807189640275005 0.0123307030615673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.034601264955536 0.0404613638978023 0.00294504831896384 0.00498289671240639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.418902891771347 0.405586856172528 0.530231738277877 0.409279680477369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.11942297308633 0.127498379616482 0.0397837868076419 0.0436946153825152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0568291341199007 0.0689849711412731 0.00916692247797544 0.0125878835577318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0346623677486996 0.0462030087637205 0.00359747464061626 0.00518561904111783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.12264475069823 0.131240021580954 0.0438761913440702 0.0485363227759308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0505951015278129 0.0543471033730754 0.00743338946985091 0.00849901497966798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0282658007317407 0.0306486762473116 0.0023580264245779 0.00266070176093657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0184258386573363 0.0201181833784777 0.0010505912980209 0.00108868003544143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0681515557045503 0.0812548216662193 0.0130953301046735 0.0186605466176793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0190033415569878 0.0226954729854213 0.000960720356443103 0.00155072109502238 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00948007743779813 0.0115190065076716 0.000200858115815996 0.00046240852815664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00774847210852536 0.00963265937376463 0.000105849767266932 0.000368942167481541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0697413750498011 0.0652457076493258 0.013659742520429 0.011929341351034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0196414596349743 0.02138823186999 0.00111773572391151 0.00121021872465799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00995653765165955 0.0127558811686445 0.000329051662335256 0.000326826056763275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00825889044366605 0.0119693065056619 0.000257636677491149 0.000185517032523767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.242368424172132 0.265181167547959 0.175994122584546 0.191812888356026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.100928416138917 0.108933133524053 0.0296670525518777 0.0338737366302873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0564540284320748 0.0613113668960511 0.0093120469594649 0.010732827321995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0366139383332174 0.0400831931803305 0.00400161665744306 0.00448602579810116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.136087143151319 0.16280137941363 0.0537641772200099 0.0732799714118914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0379375168116224 0.0452937749009057 0.00393053332765692 0.00599511775647635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0182266874264599 0.0218900741713848 0.000832396353014084 0.00153040606471103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0123045959741771 0.0148205349551106 0.000323657747765545 0.000793654128260743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.13905564397831 0.130904870713023 0.0553096039618931 0.0473216568589529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0391577812724047 0.0425081374560185 0.00435525142569513 0.00496794460814092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0188772340557712 0.0234659518552948 0.00109584540762529 0.00133692629282762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0127444327383923 0.0176938536919127 0.000558715044397763 0.000566778755054009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.477934625266901 0.535386718859298 0.729416017251316 0.728875756749403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.200168092094201 0.219412925470899 0.118380832666968 0.134207193705243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.112526407924293 0.122937603518661 0.0369949446811771 0.0428832847318975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0730219636000419 0.0801672468877498 0.0156672404704112 0.0181619408118958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.271877781820844 0.326496228351532 0.226881007736178 0.283602865501957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0758594453731445 0.0907450144818063 0.0160767629201533 0.023520161478621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0361083672520126 0.0432641967111064 0.0034576597140791 0.00564954159990013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0226593679172536 0.0270471496681357 0.00124689530469469 0.0023939667323566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.276065693093072 0.264040727918809 0.2270417195003 0.186090578011053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0782010724980642 0.0849824938231439 0.0173477943337889 0.0200500703951446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0372320309139286 0.0458412916915786 0.00408134563300452 0.00555828756033843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230654224772878 0.031097854793104 0.00168609267579493 0.00221723328098755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.43898815022668 1.56992762117591 7.91801522611937 5.30453653201149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.587814014107293 0.665589621557678 1.11828914365298 1.11241941746009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.331013923411775 0.373261195087645 0.33225802819649 0.374256994486484 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.216113310946709 0.242045655970639 0.138070611376273 0.161797942971654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.837524384756456 0.973303627725967 2.53977448244642 2.25073325862646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.229348526898168 0.277798587902049 0.156615495265766 0.210835742386287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.109179014219515 0.131780563740656 0.0334015663044753 0.0498207196424481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0669896141903007 0.0799096144142371 0.0119244972719293 0.0190987004009074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.815827453820761 0.808811943352337 2.28771560446198 1.56234629828435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.233588830255835 0.256944779849229 0.161478339915207 0.178299448443481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111289579437224 0.137632435765967 0.0362830657257055 0.0518996934879622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0667240973838683 0.0898434032629322 0.0134013159782455 0.0212694987875101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.43805224828269 2.58871078972021 24.4262815439643 13.3727254879962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.976889186648453 1.09688781373829 3.31788066158732 2.81275575946235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.54465598245112 0.621417704749059 0.941512138058488 0.981383270397165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.354791194597481 0.403929964879665 0.380707903805731 0.434438479067224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.44890374752919 1.61835720347012 8.38049964556701 5.86828502736012 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.391921383898408 0.476740758228277 0.487851610729153 0.601563947610364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.186538280370268 0.227271302693086 0.100960128486381 0.145816222425436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.114204953291436 0.137125624130384 0.0357533726971016 0.0554213089630758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36245133681036 1.3638151191766 7.05395169975368 4.15270302902216 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.389642262116513 0.431614606089673 0.473388683172366 0.486032058809964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.185826547741085 0.232599436679844 0.104282457795135 0.146881142793209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.111392819306745 0.152020336993888 0.0379888078489752 0.0616726995225204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000126380972912933 2.56697738402353E-05 6.51498435589708E-08 1.35042275368962E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000596741389118012 0.000105352189347253 1.46478293102051E-06 2.29961801484763E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.001325762265774 0.00023280426899988 7.26074074304104E-06 1.1106878233525E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00245772179256541 0.000438209491774938 2.55356684777606E-05 3.93978927203293E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00023150986257526 0.000130664973842636 8.40535643857789E-08 7.35530484956315E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00110070576850332 0.000598833186726867 2.03014724422156E-06 1.53116970495045E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00244741942034528 0.00132158265755814 1.02022457568966E-05 7.4524326302828E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00502593756187692 0.00234535031760741 6.46327747547514E-05 2.20200946652892E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000414132988751643 0.000100331167960646 3.36177989636819E-07 1.38886568908676E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000901540327601752 0.000152004749758286 3.53521798479283E-06 1.2631480877576E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0022792747362525 0.000325933421847122 2.24822357635149E-05 4.87276765394349E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00423033491300208 0.000617923884199927 7.43800416541467E-05 3.51202697391193E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0347797332550804 0.0285570243936983 0.00350816303309332 0.00204281991286663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.014401327792479 0.011888616577148 0.000609859879814945 0.000356201899219254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00818044243575502 0.00667410442534983 0.000209248374488685 0.000111840280060331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00576944284242664 0.00436030421295063 0.000117838791257896 4.71757931894003E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0202781634950265 0.0171932594956063 0.00116795849516635 0.000739758116647539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00576686199060133 0.00475582487438281 8.79134461198306E-05 6.22946875517021E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00363776115280531 0.00249615562057489 2.83181269801249E-05 2.23438562322935E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00525362438013163 0.00258066559994319 7.15607702279211E-05 2.67216931715244E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0203815095270614 0.0135913496030934 0.00116125294308406 0.000463962789946068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00582334064103964 0.00443087350280837 0.000103999813167856 4.85038101992375E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00362768155739162 0.00240863451982754 5.00525711734E-05 1.32934756937183E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00461787979207359 0.00168275505961415 8.58234231496108E-05 5.62597585250809E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.069592929993511 0.057059798787752 0.0141509261256701 0.00803143364429789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0287869894648364 0.0237757937945913 0.00241560959503038 0.00141781352190078 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0162121433933998 0.0133457691233186 0.000788566805268713 0.000446694204019254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0107778216315451 0.00869248009642207 0.000375715283727149 0.000188606371700573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0405447890891682 0.0343949267912994 0.00471646172566855 0.00292143023523153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0113769464758327 0.00946947116312555 0.000353973108381719 0.000235025221052685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00592549463655469 0.00457074953442604 8.52367233777914E-05 6.4435925439849E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00600428227217559 0.00337537914702182 9.37330356660345E-05 4.24641560994325E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0407497288737947 0.0271900357880983 0.00468137036302464 0.00184198761825461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0115278606420824 0.00885835203969003 0.00039062458977632 0.000195853743308974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00598622579715785 0.00478660798727492 0.000124184768189239 5.5417043926653E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00548660524453391 0.0032042911695158 0.000116715825734922 2.31214363307957E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.139442846403607 0.113709556480858 0.0576705370712103 0.0308967503097047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0575859626375992 0.0475210111046424 0.00966765630342342 0.00560321623044928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0323531677969162 0.0266878065209048 0.00307914543312101 0.00177762680867091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0211663111177456 0.0173730857782976 0.00136949875649427 0.000753548895925832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.081046300786785 0.0688336677394663 0.019151476220758 0.011466631137186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0226754430225686 0.0189197355600602 0.00143324216588591 0.000910605743762855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0110798930670293 0.0089271205058318 0.000321118822755993 0.000222189143378267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0083337033036086 0.00565582208939241 0.000183364607305331 0.000103448461941397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.081422747933857 0.054450525525215 0.0189212468546453 0.0072674509456942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0230012926663658 0.0177147502050379 0.00152340705278702 0.000784120495762029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0112585257527438 0.00955602941844076 0.000403324849427044 0.000226291086283255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00799334433398458 0.00632717207710168 0.000232313127907847 9.58173729710435E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.413996471620106 0.340909950108961 0.541129100461473 0.253511257499876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.173307115129233 0.141718782326956 0.0891806009010619 0.0476586195524245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.097085048175966 0.0798999960101583 0.0276415577851248 0.0155574275670046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0631794072373467 0.0520734994961475 0.0117727101853251 0.00668599795402873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.2420702846476 0.207514167877711 0.180653383818079 0.0989822045164725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0679750619119956 0.0567951211949409 0.0132003577313752 0.00790488730982089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0325024541683131 0.0266352317041669 0.00291817203824202 0.00181636552380924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206192217153743 0.0159124342812189 0.00116562270266168 0.000695690479124838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.242095518457173 0.1654624190854 0.174474469236923 0.064159972612496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0689756435416254 0.0531313919599987 0.0136697732485118 0.00694388171652765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0331326324457551 0.0286423338043108 0.00326422519024077 0.00204567674074927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0206964823089076 0.0189119350892154 0.00137945753882039 0.00088473772212732 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.674536840591541 0.577216254859614 1.53191556944017 0.686395858618802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.288392437101195 0.235710169883053 0.252086214917252 0.127439894331695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.161955418207146 0.132792657779336 0.077571625249829 0.0419799593197007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.105285412588516 0.0866692247116817 0.032631503562733 0.0182409761372851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.400697741426351 0.348515744164506 0.519407526436716 0.271248068172396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113387280790155 0.0948635867972663 0.0373060725404231 0.0215844237096528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.054130098589789 0.0444707366021428 0.00821626676185231 0.00493045151537756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0337341137506993 0.0264406329237094 0.00316584703127916 0.00183534118590904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.397991256036302 0.280855268493519 0.491014447914945 0.179981823468803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114960805920651 0.0885274839496408 0.0383829067051035 0.0189616641536063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0551952201752576 0.0476995832871218 0.00899779822874798 0.00562925843685198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0340344567728175 0.0315330231503569 0.00362197187711619 0.00245822766065394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.112068653637163 0.0925807665781409 0.0375954772620676 0.0211573329968408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0458868876728733 0.0385750651178886 0.00624733404291569 0.00379669316377083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0257581336430675 0.0216000584807135 0.00199924524252813 0.00119754591725977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0168971242181854 0.0140495437470815 0.000902136030787141 0.00050556446968417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0653411413209207 0.0550273752423341 0.0124453173025504 0.00754710402733866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0181315308490174 0.0152366647118153 0.000931604818963823 0.000612127975189899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00892184539678046 0.00717987043794791 0.000210419179694109 0.000151077494060019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00730712714416825 0.0047289069071819 0.000142172840117426 7.62091971011101E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0653254003519377 0.0440287888574369 0.0122704934390956 0.00483808883008057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0184213124770645 0.0144370319284645 0.000996693233589038 0.000527370255232889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00917129648379262 0.00787036580520353 0.000277630819267204 0.000153990811931124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00686424291319437 0.00512239780135777 0.000177192991325371 6.25784090943785E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.22469753390617 0.183968763010129 0.155021153979551 0.0797169999717622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0919580184058914 0.0769411826719559 0.025243394442986 0.0148189732180463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0515187611359113 0.0431630618497738 0.0079236394760597 0.00473898781222843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0335621615363076 0.0280765042424696 0.00343557919493458 0.00201229365430114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.130749168160152 0.110050904172595 0.0511013408345307 0.0293384782413649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0362313369417857 0.0304627021360011 0.00377837692393752 0.00239119950216792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0173640849588107 0.0142075367317999 0.000835966388440184 0.000553070966886102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0117506969882122 0.00870600882206056 0.000379446552878786 0.000228675103079124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.130371492155007 0.0882965196073383 0.0498061510199062 0.0189708559794768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0367977650843173 0.0288644249184446 0.00394447335601536 0.00209816236842502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0178823711249018 0.0157229420229571 0.00099336164658947 0.000621599100124956 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0115258941734034 0.0101819672395168 0.000461641115061338 0.000256497487274843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.443791027780739 0.36851349547683 0.638865795761566 0.300475279699426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.184633609965832 0.152992169056816 0.103432533333179 0.0565528343983548 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.103224219527242 0.0860875699223503 0.031900793262655 0.0184713538968367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0670740064042354 0.0560848283107714 0.0135273538270078 0.0079372928737539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.260821279649746 0.22091713286651 0.212757072863627 0.113938912132951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0725346831627119 0.0609897986994888 0.0153981384529923 0.00936680123987413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.034552027174951 0.0283645962102987 0.00339652436173363 0.00211352606871213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0218870535736804 0.017040126627682 0.00134989207689658 0.000806374137912127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.258441294226956 0.178568174953657 0.202610457978085 0.0749241240903784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0735889201317111 0.0576908883567827 0.0158564568354165 0.00826109921314051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0355490814977701 0.0314076673125773 0.00381542385735112 0.00247568683766057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218724682803937 0.0203238486333422 0.00155271283050555 0.00103530327341374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.27099871815934 1.16011588749599 6.15099323335202 2.59897069157899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.545225797700174 0.461569620823109 0.967036056657997 0.476288765258242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.30959895286675 0.256905706791509 0.296128323225709 0.154897275828052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.201468349692561 0.167166847233641 0.123078739313048 0.0673620306396751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.773148016569798 0.680957058996949 2.12489943016598 1.00729039094967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.219573328498207 0.185801360161084 0.148260556806791 0.0829500075204615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.104896641689444 0.0860345310301213 0.0323986950269707 0.0184450242294918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0648884682569455 0.0512973326166157 0.012268981219467 0.00674679801054756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.739876737803109 0.568128320733236 1.88090986057612 0.702435179964342 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.220593000525344 0.172972348146833 0.148661458268783 0.0710468998373317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.107010746492327 0.0937335091721387 0.0349551880892165 0.0213978921210311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0648818557615072 0.0609745289429802 0.0132531452785747 0.00920303881259841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.10309694121431 1.99597323584039 17.8722833291393 7.22878007252069 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.887474978950436 0.779767067142761 2.72280960120821 1.29681996378337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.508691567112675 0.430072600923821 0.826473911653056 0.419635567746829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.333246859397046 0.278207255996811 0.342474983244523 0.181040659975615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.28666987303839 1.17460655866463 6.37349341125537 2.85443066140643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.371424475309841 0.31894301371907 0.444960214488363 0.239228089771742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.178921051081696 0.14690050978311 0.0969473386034485 0.0524276408249367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.110388692930251 0.087366908444023 0.0363133745849248 0.0189917964948288 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.20041944064649 0.996062799507522 5.41321732593832 2.04186063353843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.365535240127291 0.289812566931721 0.427322840325758 0.194454426249707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.179601183518221 0.156002477065859 0.101766375155933 0.0578874455996823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109087378943124 0.102022003962235 0.0384092970705483 0.0252901074804005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.24794844510264E-05 1.37961670279725E-05 7.49266849132632E-09 8.48492980333006E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000141148272920388 4.50183518425845E-05 8.22630800428076E-08 9.24678389891027E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000295847516533135 9.54716291709565E-05 3.61175554882211E-07 4.23206404165371E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000574761046482097 0.000242330787075509 1.50142325396135E-06 3.72589701810171E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.06883135488687E-05 6.22948034919749E-05 7.25326219518198E-09 2.34590584856708E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000226611656288044 0.000290144491547484 1.33417889218225E-07 4.23648032958409E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000508248739687537 0.000646366541176704 6.61089808828683E-07 2.09004528639653E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00120024088972464 0.00127003821374534 5.8187218181761E-06 1.99707947641496E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00017833967745153 0.000460426317751599 4.9416576951527E-08 8.86610734984312E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000230741921698455 0.000474461678862667 2.86499953091003E-07 9.31979659180122E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000729725329124667 0.000776893354187724 2.65889397539239E-06 2.49452325752092E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00167387322439947 0.0012551594331954 1.21543252358434E-05 6.33279552930611E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0393025076651784 0.0263874013965713 0.00395436273774401 0.00180907738834013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0164235825834632 0.0108411068852987 0.000681641236662906 0.000311863038865574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00924355238337846 0.0060503156122788 0.000218738324815548 9.81352900318961E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00603683719468042 0.00395492804268278 9.69449124699413E-05 4.31362606734002E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0229166922615931 0.0148881817265788 0.00133266883040274 0.000588850164714337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0064817983440992 0.00415022372010762 0.000103032632700945 4.36593694060367E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00311634531566871 0.00202504719411809 2.24175200908259E-05 8.51325238140074E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00233495326844018 0.00168702465150185 1.34274890267882E-05 4.8504825764276E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0230121556460506 0.0122338443209135 0.00133646742639525 0.000409357400514331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00662327485676011 0.003801286397726 0.000112915078279266 4.27825317000042E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00328983125161934 0.00208338795725954 3.08409495933881E-05 1.48095663025662E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00262341716530022 0.00174185562013372 2.28603167526682E-05 1.17083793809076E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0782705266577478 0.0531156687035306 0.0159770634158118 0.00711060840200247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0328272391957359 0.0217033072995586 0.00272857235942417 0.00123797578497886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0184816306831789 0.0121038957773302 0.000865490912896886 0.000389100035926398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.012048655992021 0.00788526304413692 0.000374458925819435 0.000167865782030463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0457459503200826 0.0298663894556744 0.00536475019780119 0.00233402192947221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.012947610711508 0.00828846271268784 0.000414688600854673 0.000177874499415772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00612523581257502 0.00391212540841394 8.95997887262935E-05 3.60066895306403E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00393358948062496 0.00264357993969163 3.63605791864856E-05 1.4193796806284E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0459756701088735 0.0245095667826309 0.00538780052057212 0.00159468910780197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0132360589385284 0.00757760447315506 0.000445990458987305 0.000162159230615243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00640542072881591 0.00399492577765813 0.000109997497268663 4.93360886361299E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00428174892157342 0.00282625596264005 5.33565646159669E-05 2.76612088628115E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.15393834374516 0.108638667992566 0.0642672474742294 0.0279063748663476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0654933131602348 0.0435744387778235 0.0109587981836601 0.00490266449350003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0369379820277427 0.024235186574222 0.00345167278165347 0.00154399048254738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0240924363161307 0.0157597040799463 0.00147688418966329 0.000661205355263368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0908550019267005 0.0603482428630171 0.021593785838108 0.00922203308903351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.025877189790158 0.0165817172308086 0.00166688759118783 0.000717022286285464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0121899627314545 0.0077560632826734 0.000361479544156747 0.000149850379978462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00739288407466852 0.00482898565963649 0.000130500071347765 5.37738503612205E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0913658681017608 0.0494829166413788 0.0216751840316519 0.00624132639130245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0264560831993236 0.0151586310100764 0.00177874671009618 0.000629095351359832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127148974133029 0.00789796528921446 0.000421177477895142 0.000181442590010781 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00794980588873913 0.00528832410197138 0.000171851965235147 8.75296987641324E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.432213102360818 0.356330712618229 0.580714114977707 0.24838230426905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.191851923632864 0.13513127727674 0.0983459400807959 0.0437649225971382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.110034639929438 0.0734639180884228 0.0310939996500405 0.0137175678357448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0720881918574871 0.047468047142716 0.0132213844013649 0.00585209573477054 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.261381413308855 0.192061424690945 0.194876503781622 0.0821288107565837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0773367850357263 0.0500960442408036 0.0150892403347001 0.00646670465236967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0365118425837978 0.0232384105078146 0.00329306365293748 0.00138618498164812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0217386849752561 0.014034253723506 0.00116356908435268 0.000493963130035102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.259523494218732 0.162166098834806 0.190408823526364 0.0575860265231169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0789416246968739 0.0458448603019925 0.0161067724329697 0.00546450104125156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0379803335783701 0.0236861400372821 0.00373586110141337 0.00152937402951546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0232399873738229 0.0155487762695363 0.00142871642575318 0.000682423314613686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.70138612948431 0.622993879949406 1.64190795452453 0.693728548475332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.310561234984505 0.234099232309471 0.270655553690627 0.122635742728208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.180790219902704 0.124891397660196 0.0857396408101767 0.0382034605930447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.119457831329019 0.0797469167493807 0.0366303677971443 0.0161775670433574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.421577706637309 0.335270160937268 0.543266725570067 0.228577767181203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.127945451346477 0.0847058265566792 0.0418555398668761 0.0180948872238453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0608373920247945 0.0388641759559065 0.00919795754748381 0.00387366108872448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0362252333838843 0.0233510353074102 0.00326237171691387 0.00138264820884794 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.410908392997147 0.292348811697846 0.516391945223797 0.168309692765892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.130317364955104 0.0776212143410596 0.0448398253774638 0.0150198514593376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0630614097346986 0.0396611437410976 0.0104273615560918 0.00414454341796269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0386113177601289 0.025910403512014 0.00397685748848277 0.00182110871191746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.127067006129847 0.0839607791911059 0.0443972205822229 0.0176409775966247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0532566217631166 0.0338366755673643 0.00748029511325758 0.00308841986346395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0299205985190068 0.0188612214582903 0.00235276744012513 0.000976416689833431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0194822067112682 0.0122825175251797 0.00100653871693442 0.000419545384039468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0743833681185469 0.0471581006069152 0.0147829934931417 0.00584395566230246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.020548678843279 0.0129726728694963 0.00109463376685059 0.000454298593662831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00970631974320719 0.00611085018159778 0.000239111856788906 9.60013298953648E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00603537974666715 0.00387428939694425 9.02650079523906E-05 3.47025454671087E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0743992295224303 0.0388450063423067 0.0147536732977496 0.00397834143598404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0210967520846942 0.0119855213654362 0.00117588168936447 0.000402706671091076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0102330897364492 0.0063000922539538 0.000284279832239133 0.0001176830573184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00651168195451503 0.00431004233232728 0.000119604600264668 6.05940155845963E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.244928377788752 0.176729808751641 0.176218110760923 0.0708637205116783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.105688579249266 0.0684288426258117 0.0299438252360426 0.0122665714071142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0597182027203752 0.037826606356669 0.00941042360318709 0.00387298724338592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0389161760030799 0.0245740248357779 0.00399759585911274 0.00165835476292708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.146037867246922 0.0968888973437747 0.0590511478039168 0.0232732987575911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0410720433609816 0.0259826065259618 0.00440006052743295 0.00182273455037724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0193802422668449 0.0121823731864417 0.000964640302892424 0.000394083584371755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0116883810600613 0.00746551165646246 0.000346601882876719 0.000140018132365688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.146084965475253 0.0803264353590238 0.0586743169662721 0.0159548913669144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0421103082650967 0.0240107259451467 0.00470285737186922 0.00157363460280435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0203949699628647 0.0125577360943629 0.00111494621725089 0.000446693316674372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0125746919591853 0.00838065835271253 0.000431165900273396 0.000211901444926644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.466256353977351 0.379611044709814 0.705649778508026 0.287675659781715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.205788903368206 0.142180140591488 0.118051949128301 0.0497785667101521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.118358812038164 0.0766654863740369 0.0374807828768546 0.01546622214034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0775610642832694 0.0493661360536204 0.0159484245503458 0.0065735466578491 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.281177523566779 0.204706788322157 0.234868686470317 0.094205540510334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0818841827803526 0.0523376449633206 0.0176536744089197 0.00730873830765842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0387529311396368 0.0243895592902558 0.00388779054214831 0.00159747437433374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0231657276727837 0.0148104488688899 0.00138403302241018 0.000571725536626473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.277212967929789 0.174857764676431 0.226974474231966 0.0674746092051809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0836555061110773 0.0484514466614574 0.0188314751445771 0.00618605904374926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0406734888847535 0.0251527515831972 0.00444635180170007 0.00172801043136739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.024880306426987 0.0166600297801204 0.00167542948968253 0.000792098286209378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.34546650092778 1.25436785485688 6.65503773686156 2.66758206255988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.573222474179138 0.47132068280748 1.03979903096928 0.469534796106416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.335998625764766 0.247833898221432 0.325791587593362 0.145171448882795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.224891938029569 0.155137451820957 0.139466189569935 0.0604183381217746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.788926461389907 0.689883396933691 2.15544927200381 0.88778073633476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.239541673712926 0.166417666298929 0.158346580622932 0.0691227922671372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116211070563572 0.0748764971600847 0.0355415001733036 0.0148003585757985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.069524336401566 0.0449750059196738 0.0127158483099501 0.00530998785500345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.749351851513927 0.622729101078601 1.97862225585943 0.70169666105821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.238799218081487 0.156614369407285 0.165355264022094 0.0570026317604366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.11990332801396 0.0773420190740179 0.0403918569899184 0.0149756603618992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0737677912506401 0.0506162964531897 0.0152570317276579 0.00665558735873675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.23862530821945 2.14736543175447 18.9719221625316 7.46677766183882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.926586364624442 0.819705733508868 2.88471173059692 1.32267742281837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.538839700235532 0.432346626034014 0.887348833261668 0.412169982203584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.362168190805987 0.269095293982101 0.377693078519552 0.171382991792591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.31063214269182 1.2105978426459 6.2704920121213 2.55877747728597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.392564779928312 0.294818572987811 0.448225809988869 0.203944326693831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.193813786448116 0.130248483142829 0.101148751143103 0.043285149703266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.116838535818737 0.0771214800949729 0.0364947197586219 0.0153351566598841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.22571706281069 1.0990913665748 5.61974061726845 2.047754907252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.380512122664809 0.279016301818801 0.452320319845062 0.164253400658147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.194996644127533 0.133797130252327 0.112746091707091 0.0415245962148681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.121435637827459 0.0864489160260234 0.0434542105743977 0.0181109521346811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.29853435255539E-05 9.14737247630679E-05 2.36411738724572E-08 5.81324238837699E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000225292059413964 0.000344404768046739 2.27691609043619E-07 7.45308247649508E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000467914056613863 0.000744033736894571 9.80254083877668E-07 3.39047388656696E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000910411276655617 0.00147168403790763 4.1230593698491E-06 3.30983340667646E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.91785818209185E-05 0.000115364893883491 1.67434055104335E-08 7.05968337042528E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000542447566965316 0.000633577628535318 1.70542183866744E-07 2.02981483477319E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00125066679327449 0.00144607517726578 7.82489238244469E-07 1.0491113659259E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00237646542463106 0.0028927845141015 6.61183951092609E-06 4.34546791662523E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000167002660006721 0.000590212810479006 5.86829131232163E-08 1.20237780663967E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000450043629932384 0.000801547107357524 9.42855802845244E-07 8.5740189548794E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00117184403018101 0.00213159650990361 6.03751984185771E-06 4.77788034158162E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00224404952040906 0.00383717162940191 2.11489103384347E-05 1.81235917320456E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0365096695425824 0.0358024912627833 0.00367584265910197 0.00351795561064055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0151834461137611 0.0148454262940325 0.00063732306569179 0.000598721402459006 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00854043771656498 0.00836136434054004 0.000206663775245005 0.000180698246771321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00560461409842835 0.00564941028686015 9.56599004865217E-05 7.26118476593553E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.021198615734959 0.0204214086584317 0.00121692487835059 0.00114475774074275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00593458971520051 0.00577014847023349 8.82447407172485E-05 9.77818907565487E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0030601264580426 0.00317442913150314 1.71764696276267E-05 3.61496356350458E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00284055564985216 0.00348989522061032 1.15299882000448E-05 5.42629632548728E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0207596964174625 0.0168004916049367 0.00117290347557343 0.000788006722586326 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00586968520345008 0.00540635898670716 9.85308593820086E-05 7.14426988534346E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00297861626681691 0.00367543984622713 3.05960482868458E-05 2.13734550344554E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00274101627950044 0.00440300156858365 2.9916749080642E-05 2.52601677442558E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0730704510162328 0.0715418363076729 0.0148224451444349 0.0139428386250281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0303699839075871 0.0296814663694175 0.00254229397105439 0.0024067174777604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0170745176062878 0.0166661474299378 0.000810619968325872 0.000741614247195476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0111154493187041 0.0109604451941013 0.000355953220136927 0.000300396301646268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0423913277304725 0.0408429143757833 0.00490035169984761 0.00454590227474604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0118246882081076 0.0114657174869613 0.000363850685689331 0.000371813628944143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00572011690294875 0.00566909709904072 7.32458685112043E-05 0.000103283772288877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00401903025339065 0.0045943270033283 2.86379013203359E-05 8.1399640917761E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0415110282958939 0.0335897862999197 0.00471199487360602 0.00311851473504493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0117213276174255 0.0106941302761908 0.000382745777423691 0.000295729969474316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00566082902408477 0.00611560110333832 9.91430681001888E-05 7.69873940688712E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00395870590312948 0.0055278700294725 5.60520136372243E-05 4.76951507281311E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.146526164829932 0.142677194265548 0.0604361225898427 0.054526774857868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0607771692187189 0.0593474018293036 0.0102055418104623 0.0096104486878461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0341586294457997 0.0333075805366209 0.00322056639491654 0.0030033972605816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0222016315970501 0.0217440862086638 0.00138120400983184 0.00124051999630929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0847570532570942 0.081730705426731 0.0198157012518712 0.018001931690612 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0236293802616826 0.0229000549080907 0.00148275073719375 0.00145226659280809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0112207771867301 0.0109615558494805 0.000310557248735853 0.000357993014509653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00696796067945088 0.00734515520250434 0.000104449536699564 0.000180572442728682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.082982171655016 0.0672278717094361 0.0189874210729708 0.0123422958787994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0234407505738591 0.0213368149944472 0.00151404074527364 0.0012074987894243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0111824479507447 0.0114789314165671 0.00036331048027678 0.000315641973050755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00698482689387931 0.00851682781105806 0.000155779740933706 0.000144568155491716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.438961419864351 0.425877440663996 0.574372188942005 0.444780819451037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.182998156019869 0.177229104278796 0.0940651322826114 0.0837405199446076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10258404688568 0.0997396800708967 0.0291416438313184 0.0268886272489298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0666131047915466 0.0650190362227685 0.0122605905981842 0.0113845437979614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.253423857531985 0.246239167402749 0.184236695323086 0.156587954210543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0709011636735797 0.0687750052625322 0.0136287049443766 0.0128243508818419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0334821746156568 0.0325576120369823 0.00294783607543759 0.00297226881723482 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0198542995787429 0.0198686044012267 0.000986309822913021 0.00116452456270151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.247349333261248 0.203265090652496 0.173791752808586 0.108100306184326 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0703185848299843 0.0639936265857955 0.0136493270624073 0.0109387745538497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0334376570552212 0.0337265438717109 0.00312721383849369 0.00298431254228455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0200863496620795 0.0226747417419521 0.00117100625557445 0.0012761080278613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.72590061642614 0.711170050658679 1.66908449819935 1.14961400991866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.30517054880608 0.29440391129562 0.26624981118082 0.224095166760497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.171208112971306 0.165697071652588 0.0818511640102571 0.0733836781636586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.111049108151016 0.10814949898853 0.0341446537689663 0.0314704777113718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.420661409160384 0.41246218705478 0.52634177016991 0.419725468165603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.118267010608286 0.114899328593728 0.0383520957705915 0.0354370318312159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0558704515953349 0.0543208247645394 0.00833410145478006 0.00815595188211463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0330319842749851 0.0328373534445226 0.0028165875543711 0.00309560219896165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.407311105700421 0.343587693736631 0.485937521396658 0.294235268965073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.117140692419337 0.106683810516068 0.0382305673242436 0.0301906486458223 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0557042196223749 0.0561504703925882 0.00867651082621457 0.00836756576653471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0333947899467378 0.0373899750872142 0.00319280522168881 0.00360778464799513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116727979816747 0.114539059997486 0.0396699970619251 0.0358851689599895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0480630652572649 0.047291844928042 0.00666641732782175 0.00622005572394017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0269294292576737 0.0264301391569704 0.00210100570235122 0.00192631326259331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0175241493554955 0.0172261447299852 0.000907244887696625 0.000787564527471834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0675057363308108 0.0654562135589791 0.0129488335830361 0.0118318454441642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0184717763471463 0.0181607274350398 0.000944713474761115 0.000948204339381193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00879934165321304 0.00870722011153374 0.000195528621820501 0.000236841752837517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00573237437326925 0.00611600651314623 7.02669690102469E-05 0.00013215107393318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0662521191103285 0.0541611493518231 0.0125044131732488 0.00817304558143327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.018370698840345 0.0170802355101678 0.000972729785244912 0.000785025818927949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0088289506114645 0.00931255204123014 0.000237663811426461 0.000201482547769519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00575796647678079 0.00724229001786842 0.000111418090811968 9.69454241031799E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.233930066095043 0.228307825801684 0.162076862783263 0.138370812510412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0962184192494858 0.0944728806397503 0.0268664570550909 0.024662166786733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0538602491345934 0.0528332508188693 0.00838765107494263 0.0077382985906795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0349935006403138 0.0343278016381386 0.00356461117275568 0.00321546478179477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134904828101509 0.131037359739308 0.0525248872965477 0.046654484866083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0369450306674227 0.0363039739591108 0.00383123628665602 0.00373254635887136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0174835076847846 0.0171726352686649 0.000816501409402128 0.000875132628609524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0106852316388128 0.0108237378763367 0.000279537468693801 0.000372438472495163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.13228384328092 0.108526682392262 0.0504324205074632 0.0322663457076315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0367378673756666 0.0341207898667348 0.00387401470871872 0.00317043720105812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0175471358135398 0.0181029038850691 0.000903991441928511 0.000834319288349128 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0108947289300015 0.0125664015781681 0.000368162317379269 0.000356336072425192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.46496443311271 0.456678456076357 0.669955828095343 0.516063177047967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192840821901238 0.188420979097703 0.109078075733666 0.096220936316278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.107819327724555 0.105525793306093 0.0337641982201391 0.0307295729943781 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0699715266091704 0.0685698974688182 0.0141942674045482 0.0129500877840007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.268786936714444 0.263307506254734 0.214269373611376 0.182115415490944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.073941710044419 0.0727049497935997 0.0155322121222773 0.01478413391851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0349586818895864 0.0342626461858041 0.00335786738190671 0.00338298499927965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0209921099788352 0.0208236936736638 0.00115465470800246 0.00130018287331375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.262567102666923 0.218996196296995 0.202883369651024 0.126911363597142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0734899000531677 0.0682305301258656 0.0155705251971456 0.0126600472923117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350360846214621 0.035953367172896 0.00355113273941818 0.00341715084764287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0214697626017148 0.0240823936284603 0.00137277989492416 0.00144948576847266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37701404350648 1.37547597894741 6.80186656971387 3.94921554438021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.573609766881332 0.564586848035604 1.02459122881838 0.786626799861615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.322915043107686 0.315050854638155 0.309614544525558 0.262025513490557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209762056756481 0.204645591341736 0.128627992538405 0.11345976822703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.801913607429456 0.799885827804445 2.11795371465128 1.48651897707618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.223533982359144 0.22139739761944 0.146142377922324 0.133001065593541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.106063741797056 0.104066117048694 0.031734880846872 0.0303820278515012 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0633141808110529 0.0625507446374322 0.011022103918063 0.0112366991182139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.762026834125049 0.680624584598423 1.88415406373827 1.07439989772975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.220278237976082 0.205430098373683 0.143988679268193 0.110969076073758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.105088171631545 0.108013465639242 0.032363994856063 0.0309080046317055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0642978465978005 0.0716100076101491 0.0122471027273599 0.0134363244480036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.30207033347522 2.30909178020526 20.2389090959901 10.2350135087269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.945062677305872 0.938042380970768 2.94076239523937 2.03450397750938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.532470334511462 0.523847611742182 0.866526308581466 0.689244211480534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.34707885375349 0.339285594716483 0.356006477889595 0.302609577571686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.34878393692421 1.35377637605697 6.47210734292232 3.93202565663959 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.379186351968891 0.378651366992421 0.432314419969737 0.376794801822606 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.180566012282935 0.177847450920113 0.093337407953078 0.0878341705740524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107780813666032 0.106630240862197 0.0324388826491096 0.0324597249432499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.25271756903709 1.15796823078094 5.50682944567007 2.86307851997263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.365777244169104 0.345211863654457 0.40958793020353 0.300795014706013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.175282361590153 0.181414463962528 0.0923368174086046 0.0854588661442731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.107578875671544 0.120488104269013 0.0350706513324427 0.0377343290804546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000300614952707859 6.14060624140482E-05 4.00499294355249E-07 1.30577160593494E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000975076827312063 9.06655553523655E-05 4.207875037735E-06 2.98223917660056E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0020294500505572 0.000138946798892774 1.82151518215911E-05 7.4035002471104E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00378383384109646 0.000278880081497343 6.73900837882593E-05 2.4519751793958E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000627977341534336 0.000388591703603624 1.66974512240715E-07 6.44776881303998E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00277975537619782 0.00155448076678819 3.33205942796876E-06 1.03195725396266E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00612036986941852 0.0033671980801813 1.61926987660714E-05 4.84095411955216E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0107640621047661 0.00568387495000323 8.47764134970981E-05 0.000138184728052851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00177240896268263 0.000896204720019817 1.20068965689454E-05 1.96886714645525E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00410575342008572 0.00136399580964876 7.7313510883584E-05 1.08385374068271E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00903009399488121 0.00303975823933578 0.000367243992749349 3.70342426052427E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0148264229108358 0.00495845739559793 0.00099070916384101 1.08773969236921E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0300169698832087 0.0392479629217191 0.00247457251848908 0.00381098056809894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0125136796356634 0.0163983476358097 0.000441957428877134 0.000662509432779128 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00724880554472346 0.00925007987798168 0.000168859387866051 0.000208788803995119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00586941098961578 0.00604415232608535 0.000137585439691279 8.7239789923963E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0166603689132058 0.0236649995590839 0.000741430084585322 0.00140033257573804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00536435955040607 0.00685281490175129 4.73364236102981E-05 0.000136972809832739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00651691114927368 0.00439692770714669 2.50411042011938E-05 7.74455573528838E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0108824320427094 0.00591751349897653 8.78906208825489E-05 0.000148119292977945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0136579855616848 0.0253820707481556 0.000527088525577928 0.00158405416468858 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00597869312251363 0.00733918433572028 0.000144234885405705 0.000113018014402198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00936547123750254 0.00439944422039977 0.000388552111271691 2.22326951794219E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0149447484509491 0.0052756265439876 0.0010014943643188 1.6879709601711E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0603880780323369 0.0781226989567558 0.0101635869456093 0.0148911334278106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0250121938029848 0.0327649311214825 0.00172722639781888 0.00263696265617526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0141248620329551 0.0184915247946323 0.000588782705913067 0.000837304528698958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00985777280975232 0.0120640121999106 0.000334180061031497 0.000352733034217128 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0334684530985964 0.0471765511572897 0.00305765566299416 0.00548527381728799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00976608969620579 0.0135062760255034 0.000201634691626104 0.000489370152073706 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00744248923219084 0.00694007185060228 5.24294806973591E-05 0.000165908867897156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0111295867438342 0.00655138606032898 9.80629367121832E-05 0.000177545494976148 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0273272700608669 0.0505438069903817 0.00209996866212127 0.00623276814399637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00960353372804107 0.0144956765250338 0.000329481883085269 0.000476960323941958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.010103909601355 0.007273928893816 0.000444388258520201 8.80502279379997E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0151997223127061 0.00617390621342674 0.00102882647830235 3.59862945805105E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.122554454633297 0.154471134111903 0.0431232045235524 0.0568124484373694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0502131053076583 0.0653117251305394 0.00694795194966517 0.0103807131231089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0281145132801458 0.0369343767929771 0.0022321116790703 0.00333264581625262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0186498366238648 0.0241016011655758 0.00107011898356705 0.00141481288925754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0678164260942331 0.0934740276964945 0.0128482170826966 0.0211320496323099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0190856562421782 0.0268954534823569 0.00087139410844503 0.00184990529232712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0106840204768923 0.0128624131981856 0.000174569655787408 0.000492769788393283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0119580089718639 0.00900215623580209 0.000140194823807046 0.000301213054985267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0556761603998677 0.0999492955797789 0.00887063700169893 0.0239910139302565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0178952286212568 0.0288669635096803 0.00102743247500072 0.00195980585335677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127975880043707 0.0137180370405215 0.000668431906307672 0.00038202490585414 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0160518928067738 0.00917320657911377 0.00113000147937565 0.000122888316913102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.384538324528291 0.448279461647909 0.457556860202028 0.446475803609278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.153944864949169 0.192561079463098 0.0674884099610572 0.0872950571905333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0851934539656304 0.10975687980096 0.0202580373820985 0.0288924523541386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0553341853848548 0.0719030916763976 0.0087023436954154 0.0124917406914328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.212841828251063 0.270924639994364 0.133966840770226 0.169017620461773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0575973951321836 0.0799637613291184 0.00868940804768071 0.0156227312815909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0278618644076286 0.0376099876314598 0.00173922114990098 0.00369241506522042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0195800706773163 0.0226188528962274 0.00065750975972533 0.00150216775610353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.178721795340038 0.287420604978341 0.0984522381950261 0.189152095471992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0534389952872781 0.0855901123618961 0.0084571754772572 0.0173805309558722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0291256621528741 0.0402877169455233 0.00289340916121327 0.00372443955393523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0233245397146072 0.0242340553939267 0.00217041175586423 0.00121677286947563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.65869644327491 0.732872508964016 1.40053474773873 1.13344407158739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.26126616264613 0.316456441415241 0.199887269346855 0.230127030129214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.14371793061039 0.181126760638828 0.0584345152351673 0.0774438634740356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0929064007243778 0.119006033690391 0.0243732189838282 0.0338501584926785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.365501420638701 0.441021678737864 0.409704967908181 0.432656654821898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0974599255477079 0.132104881728125 0.025614883395868 0.0418236724188145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0461634013983407 0.0623970740544165 0.0051670559172441 0.00982464588723184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0299688776727823 0.0370944204341325 0.00183551703281766 0.00375203730314566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.311839296758097 0.464254499611748 0.314217379560884 0.47692702155872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0906965040573717 0.140871292213553 0.0243167213662941 0.0466563596462664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0474231028365917 0.0666971019232936 0.00723102812095332 0.0103918400215515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0337614468882517 0.039843165496328 0.00418969545359819 0.00350896671765918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0984794742857178 0.124997431535507 0.0282333525969098 0.0385379131914132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0401442831325139 0.0522164588426056 0.00459514717261569 0.00690047163270887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0224958224612498 0.0294291119144808 0.00149934169758076 0.00220249686330623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0151142176580919 0.0191785934433772 0.000747113954753305 0.000932026253078278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0552617956204026 0.0759914726545497 0.00872331836501231 0.0145458308869928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0152446548444426 0.021332862334775 0.000570668668014218 0.00122531400509008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00927822042609288 0.0103704502273143 0.000120764313695849 0.000344737520871641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0116071009624974 0.0079404207670726 0.000125841935851643 0.000246878119153521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0454287500314241 0.0811878411173316 0.00602297977295863 0.0164952958802079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0148435186859649 0.0229894751819174 0.000736734828322528 0.00128067152288494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.011821706682694 0.0111161836767199 0.000584880637130281 0.000248913875024058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0157599323187061 0.00799017762174054 0.00109399963047685 8.55642080958538E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.201403248064309 0.245742715913605 0.122877192161878 0.144090283577402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0810020263617073 0.103705847313541 0.0188957873697503 0.0268343739008929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0450540999538351 0.0586757093822732 0.00588683891961333 0.00869779552192469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0295469860572239 0.0382883552892611 0.00265943384705236 0.00371325716148063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112860463915077 0.149540635972799 0.0374908987839173 0.054954915132886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0302946319722568 0.0424788527185342 0.00243530239179233 0.00470088795106019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0155760075297572 0.0200226946665939 0.000486016241927605 0.00116003302070936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0137797797621632 0.0128195811631622 0.000253110857602126 0.00056146898753599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0937711449013589 0.159267320887625 0.0265773157228999 0.0620387002355231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0289650984521769 0.0457587721225213 0.00260867548971015 0.00516055257783444 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0178358652119395 0.0216264292967288 0.00120078263644655 0.00106445497437611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0179268965289754 0.0136745286204056 0.00137219626912091 0.000346759565227171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.416142960342718 0.47980239700838 0.551762493454555 0.522348283871139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.164906796237035 0.204624715878949 0.0803673241978989 0.10201941884873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0909947278592853 0.116412319693222 0.0240565782010755 0.0337520759669508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0590733199594292 0.0762060611908636 0.0102966945845164 0.0145896143575339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.233223231514323 0.291316203549776 0.166818220375946 0.201319593409857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0611897412157281 0.0842793600353821 0.0103955187435869 0.0180464990522652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0296965472249287 0.0396468337855244 0.00211477456247382 0.00426648981921767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0209112757859284 0.0239007955092598 0.000820301405617973 0.00172251670114184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.197001025311092 0.308224691105394 0.124059843597051 0.224302995772587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0583036153132902 0.0906290171022695 0.0102552886870012 0.0202243278128876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0322754406852262 0.0428181140533884 0.0035265218673113 0.00440300356609058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0250221672159226 0.026041452479297 0.00245752471233584 0.00148305607492783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32106491819028 1.38959328141289 6.11020795589488 3.82298995480993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.517211373932987 0.592186784878818 0.841818347138461 0.805506918800254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.28199880670438 0.339599288164994 0.240133244474194 0.27594211263859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.181170783268975 0.223802916283894 0.0974147366036785 0.122169907602103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.7478396729829 0.831312432501729 1.86821851202017 1.50076144597025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.19237882335273 0.247273781731668 0.109126201348331 0.149156058054084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0902749411985494 0.118078784988136 0.0221681608345889 0.0356048306866674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0570196738120966 0.0703143997464864 0.00808287621373627 0.0132112613254517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.655253203428678 0.857437739906805 1.5267271716955 1.58376242660051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.18401061802985 0.2617032706132 0.104304431357988 0.163749654024732 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0958041014676415 0.125936468533626 0.0285327385838544 0.0387887434684041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.063406006361717 0.0761306585089212 0.0135370646268468 0.0139343002822758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.25446993952226 2.31720545106675 18.5211759637061 9.82097126738536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.880579067014514 0.966870308563281 2.51817990089434 2.05781085204601 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.478777296012537 0.554716363737736 0.708585997456076 0.716074574405328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.306466214270711 0.366324440272585 0.282941417537088 0.320071457769565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.29264015069058 1.37762131733987 5.85760039566962 3.85150094061801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.33454460611595 0.410209202407341 0.340790181924547 0.400852430818788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.155732182194436 0.197702218616008 0.0685798599393906 0.0973769961560119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0966752031116298 0.118140684898593 0.0248340631842848 0.0359368027257231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.15459339250345 1.38187027371221 4.98020477647454 3.83320131654373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.318859516967419 0.423221399204929 0.323224082480141 0.417315632088686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.163881300267934 0.205990508304731 0.0833902585278087 0.102771536257211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106314500679958 0.125285082627004 0.0368968016024291 0.0380750339828386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000174780074546854 0.000217368269329907 1.26700098844998E-07 1.9910160522947E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000523953425788862 0.000704478606999842 1.1681863930172E-06 1.82882054145067E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00109094412841552 0.0014756050399986 5.05938850477562E-06 7.94226114237828E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00207755411804264 0.00269275384104586 1.89925752313087E-05 3.066305525207E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000206094178395735 0.000271450466585171 1.48073226307934E-08 3.49741045722509E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00109352637630282 0.00123045672159795 2.83510194234115E-07 7.18815186573612E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0024739877607325 0.00276129724350305 1.45776104961498E-06 3.5665701204584E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00475354124760367 0.00517322605823461 1.90824552026545E-05 0.000115071843646152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000464673438127742 0.000463478708303995 9.02759845281665E-07 2.53257213282542E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00124691407162219 0.00146130142528111 6.68454681866971E-06 1.06284820091336E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00272743125155179 0.00320368412400351 3.10865283474178E-05 5.24660666487709E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00461890489364073 0.00540918934175363 8.80792295214181E-05 1.60437340142559E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0379708177951533 0.031513631593371 0.00376501320973206 0.00267366910126413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0158138277635028 0.013011269527546 0.000662338284691941 0.000440813120096676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00892752176956613 0.00739173052734167 0.000224605515699452 0.000126696188835433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00611219345543055 0.00532236381381309 0.000120915701509766 4.82072292199408E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0219713712587847 0.0179450403498787 0.0012401369112362 0.000885365215564767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00624653875378831 0.00515969029296201 8.62065727573872E-05 8.49043626580199E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00371930676166015 0.00370775093011465 1.6316290657695E-05 5.66483188054419E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00493770116444917 0.00540443401512406 2.39459458805712E-05 0.000122937222439977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0198673606270885 0.0170441213429835 0.0010390744212735 0.000781027393883528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00593179306623921 0.00505875803115656 0.000105516996447369 5.45970439546793E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00387700747348749 0.0039183351644251 5.77447336479306E-05 1.52464488210942E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00486507674001698 0.0055694048919194 9.74101946631091E-05 1.95761531559445E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0759056260536108 0.0630579374993106 0.0151004872155725 0.0106643389812607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0316156516765484 0.0260125026770716 0.0026189836959774 0.00179378390985832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0177755949501592 0.014624734087949 0.000852859128716781 0.000536814966554302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0117219154595172 0.00977188791921048 0.000401183009449565 0.000206166319672472 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0439294523903324 0.035888554021318 0.00498909835718534 0.00351369290678461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0123741662221363 0.0100793732668913 0.0003651397574441 0.000300616950668375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00626631954750937 0.00553172072860662 6.89876295310806E-05 0.000112509821506497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00570565764092138 0.00596935827322281 4.06621969739988E-05 0.000144576668022251 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0397304299821243 0.0340776457331629 0.00413983140888251 0.00313655062924537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0116836195487151 0.00980058926075081 0.000382169619862386 0.000232738954693552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00628638582670074 0.00563157224338632 0.00013424550854971 4.91407376869685E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00573158207176875 0.00609178557871326 0.000129050082004565 3.06910901628925E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.151501580519086 0.126389300441465 0.0607398687598174 0.0423435382336517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0632066318315688 0.0520413065853764 0.0104380290198635 0.00722052829324248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0355062206329324 0.0291828577360379 0.00333160158081173 0.00221673726004686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.023200091160844 0.0190943958556229 0.00147886086155884 0.00088345305074202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0878043155662557 0.0718067612379506 0.0200715673578886 0.0139490859167884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0246812779047702 0.0200301044772002 0.00150830404714562 0.00113836428118168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0118693656974331 0.00992084993054534 0.00030210455426622 0.00032032784977301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0082729264861271 0.00776725558751065 0.000114961667674739 0.000226474900180015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0794342792413482 0.0681760962876841 0.016594470241691 0.0125157446044025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.023280378361413 0.0194425446209838 0.00146317701764033 0.000970599511247997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0117338405602044 0.00990951220801411 0.000419324423910932 0.000201552741715017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.008414185265969 0.00784230840670821 0.000250578814264268 7.88547885864316E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.446960705515555 0.385910167123523 0.552634893976623 0.374021989135467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.18893091384751 0.156728682107542 0.0941440254047546 0.0647670074432408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10634567415015 0.087603100070542 0.0296219850671387 0.0203081783832503 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0693476603496421 0.0569108087884808 0.0126875274135987 0.00841132328331405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.262126553355054 0.216651607645573 0.182821299685976 0.123598180856303 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0739868466324785 0.0600328506422866 0.0139302839780706 0.00989414603021945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0349677579189384 0.0287145346887064 0.00296993366176611 0.00238677368566978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0214797804109259 0.0180559523223672 0.00102109003501981 0.00103106184117087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.237386888811384 0.205433744074442 0.151586742899867 0.110748423811207 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0697452389818475 0.05819837396358 0.0128965590739764 0.00895215196477775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0344627104424574 0.0283871581469065 0.00329876949548004 0.00198116137136542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021806094842677 0.018074020882385 0.0014262959885987 0.00068339148613045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.731217186801099 0.654333255316221 1.55080954800473 1.01852899414783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.312837860151125 0.262944831203986 0.261631880550832 0.179194840979211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.176786236644869 0.14630282559491 0.0821286371035156 0.0564175723975028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.115395728502397 0.094880986306464 0.0349328750713459 0.0235943141295379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.433030458505495 0.365185355145675 0.510138928216246 0.340998330405418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.123377161666116 0.100262007628247 0.0390560213806212 0.0273142644036822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0582582873420312 0.0478003607081471 0.00844188158692423 0.0064365832179053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0353738937803163 0.029327073219068 0.00293041947293569 0.00257317897317197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.392895657473373 0.345165366158979 0.425678642455304 0.303520096205064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.116175258517479 0.097066043591765 0.0358917311418703 0.0248407857663428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0573521647059817 0.0471220789602911 0.00899378628088196 0.00561452162523201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0358504343556872 0.0293049773516573 0.00369151844896231 0.00197958206340081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.121857455264557 0.101800249517261 0.0403555529755068 0.0282823932148398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0504144732463544 0.0419953418002133 0.00687934521736778 0.00483401290014603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0282894154385702 0.023526972226482 0.00220362064730204 0.00147594540752611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0185360863853325 0.0154616711467373 0.000992443706253643 0.000584812078402376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0704053131770624 0.0584689552947638 0.0132507459281905 0.00956879831354624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0194666637800862 0.016252589336722 0.00097646097631741 0.000778861195520195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00945955650168082 0.00821248257769024 0.000192376818641103 0.000232156708719308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00715405649829776 0.00706699929848784 8.30164084668983E-05 0.000193479978303142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0636098432057584 0.0554218881197162 0.0108775570646831 0.00858212275599904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0186432951594804 0.0158001306092465 0.000972517915413094 0.000653523690183641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00960294743490127 0.00815523494107377 0.000294383541956227 0.00013381706579942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00725328923858362 0.00709129055732747 0.000196252627320565 5.84973164831514E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.242429674109878 0.20484053574228 0.162564146879027 0.112052918322388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.100725944703439 0.0840811956385612 0.0275256027572227 0.0193553277685078 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0565213840057288 0.0470271761977644 0.0087033167917625 0.00601261016687032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0368680898704877 0.0306325382872405 0.00378759311364831 0.0024533801978756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.140672675754726 0.117144418135987 0.0534010179290528 0.037952851743411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0389139116121776 0.0324369306037006 0.00399219890141123 0.00301975018742183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.018507698025229 0.0156358496579704 0.000827598325073846 0.000770369215395706 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0119865257279844 0.0107639584189634 0.00029789027693365 0.000408395337906315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.127110818827445 0.110944857421316 0.0438143507170311 0.0340782323071042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0372130530090816 0.0314955217271214 0.00379919075421563 0.00267923723881142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0186456724144689 0.0154060531019726 0.00102717866175478 0.000567221687690043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0122324617285463 0.0106984204929454 0.000499355297166565 0.000201505045077012 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.477637999427242 0.416516723520237 0.655634960003097 0.442141000649457 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.200741159485152 0.168883961744764 0.110409176309104 0.0771358206961076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.112899200500369 0.0941595736134362 0.0346781239078924 0.024199937639496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0735996445868165 0.0611567904214705 0.0148433282251824 0.0100623941671201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.280335911675401 0.235758754906949 0.215749578834278 0.150184651081203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0778834445134319 0.0649299781216965 0.0162049695873537 0.0118994682804319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0368691779268912 0.0308657944578319 0.00346695355378733 0.0028459995524352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0227402914522001 0.0194649191901158 0.00122220273635484 0.00121816026744614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.253461812909733 0.222695299856697 0.177711150343479 0.134213453502972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0743657786126482 0.0629624547282424 0.0151017994077744 0.010800823557751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0369944504507775 0.0303650107200893 0.00388183848684826 0.00237634588998309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0232438966695679 0.0192958291101648 0.00164607532783906 0.000831875237887158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37507923009536 1.29636034117816 6.22759683466443 3.67875934425868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.587662275921159 0.519044067311511 0.994922535153541 0.686545013389203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334791170519908 0.285236657773798 0.310554511993144 0.217015477506747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219273234885318 0.183992198564777 0.131572240863419 0.0914727319257645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.819434787030176 0.736970359019116 1.99570245324272 1.32236232954604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.235259458954142 0.197552007796446 0.150708306094894 0.107540789764287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.111692801180297 0.0932722938402161 0.032982298574061 0.0249321092457914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0679105506308929 0.0570452032755723 0.0118331731591638 0.0096169155185084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.743726319199801 0.686062214014872 1.66874327090058 1.1499687184259 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.222570801160898 0.18984160247501 0.138288131012223 0.0959939845487749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.1107982927896 0.0910226979240628 0.0344670433495064 0.0219058821597337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0687789596649943 0.056051378584876 0.0136352758630218 0.00799501929713521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.27323447057638 2.19272579240579 18.3531729176125 9.57772205463011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.958108744396897 0.878713528660684 2.77041871541645 1.86413982238412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.548780274075185 0.48031565162939 0.852691348481135 0.597157538186166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.361294681829811 0.307857485844098 0.360133888535967 0.252560051206272 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.35276972572204 1.26847857416691 5.8760180487484 3.60612352586818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.397354314351806 0.338471255181511 0.436866159997551 0.309574507464734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.190064111894814 0.158979191243939 0.0964565233300923 0.0716557351597004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.115683120987513 0.0968603607122797 0.0348637161061272 0.0272973252171324 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.22328473533525 1.16711081356209 4.88529156274299 3.0594559050317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.370112520812876 0.31956646296624 0.393655048039204 0.263162706268277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.185109730537231 0.152831044750591 0.0980026630307256 0.0606893780224641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115309811664719 0.0938761043092471 0.0387054146138602 0.0224846941111611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000155400075672422 0.000105073286362146 1.07696974979299E-07 5.73326409908213E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000524481373077538 0.000315343336036729 1.21629926008645E-06 3.30109602505902E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00110672897528539 0.000656349305612564 5.41869311561668E-06 1.36705799778378E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00208648230722168 0.00131608842870047 2.04327571918483E-05 1.3224615837758E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000211515682034282 0.000147921337362477 5.50969170519708E-08 9.42573354294052E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000938363302965793 0.00076879782272608 7.61107287898846E-07 2.48764501467181E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00207811135890834 0.00173136358359566 3.55630567813891E-06 1.25847705040459E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00397445419577254 0.00334366511917967 2.39427601328708E-05 4.27501181937512E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000318317639458575 0.000630756230965296 3.56349526371824E-07 8.62265962673374E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000995803743763384 0.000749893833304663 4.61021317600436E-06 4.43170382608763E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00233362191527783 0.00179444916841449 2.39474160999715E-05 2.65038704553929E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00400332971738473 0.00329525382918263 6.88485464118675E-05 1.23813268069022E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.031128918578555 0.0382821728004767 0.00269354262242561 0.00375644293228334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0128843850964993 0.0159758892200028 0.000470254817888849 0.000644362683230413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00730637781806684 0.0089959078505585 0.0001626004098229 0.000195593472521288 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00513300376931574 0.00601198944604893 9.39186410168005E-05 7.69016351096282E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0180719789532842 0.0220716290971454 0.000894805364119544 0.00126541994500049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00513077922497662 0.00617801862068462 6.24729668409195E-05 0.000107843218020166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00323526955669354 0.00330682574389679 1.47927084817653E-05 3.93404048699391E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00432304965019143 0.00363603888660059 2.8571805425123E-05 5.10983659118688E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0184706266983593 0.0181656497378151 0.000948231575910956 0.000849197501986002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00527790354087857 0.00576127829447423 8.69115327676755E-05 7.77826252654167E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00332932402468083 0.00357319890475709 4.46079315046216E-05 2.13082083458289E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00421122855267927 0.00384628586861881 7.60240337811061E-05 1.97888112070268E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.062309687828359 0.0765141820495459 0.0108374315040921 0.0149350918865758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0257558657395946 0.0319444692274301 0.00185598687464864 0.00259167800846329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0144990485431234 0.0179610993531972 0.000609720541129398 0.000802452639855896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00965014607573341 0.0117868435496683 0.000295563136837225 0.00032462704177063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0361508326857963 0.0441384217477484 0.00360667883583386 0.00503198929765284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0101185197163276 0.0123035138593638 0.000261625318710723 0.000408611786429427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0052348613151733 0.00602907756637009 5.30604842096166E-05 0.000114155288208743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00503535582722981 0.00468971024949223 4.19568484170773E-05 7.94458307923585E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0369352865473063 0.0363139639630128 0.00379350931346864 0.00338680032953798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0104063273056654 0.0114217615974977 0.000318475797655175 0.000322693030266002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0053948960464859 0.00636476147108782 0.000103631187851055 8.44401425669424E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0048915414354577 0.00518021931235269 9.88278289679893E-05 4.44942409982858E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.125020164916392 0.152634555801521 0.044101633756761 0.0587345824804668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.051528918856362 0.0638614882359242 0.00740351946134602 0.0103588845907664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0289391485172884 0.0359032629640428 0.00237055519620143 0.00324753385970144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0189470088126283 0.023448916473286 0.00106488367144731 0.0013438108098746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0723491176309497 0.0882381336787243 0.0145759303430963 0.0199612143068427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0201746562405965 0.0245843362088066 0.0010783415860057 0.0015916979417195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0097766807957265 0.0117652054756186 0.000220875211301137 0.000395907106292512 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00708279129439113 0.00767518308581562 9.7911087376938E-05 0.000188791657467067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.073878287796283 0.0726049588332425 0.0152447638591863 0.0134611606494374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0207308398021415 0.0227839486611577 0.0012260498814087 0.00131643805296096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0100898791761842 0.0122978171094683 0.00032497962331309 0.000353047863885633 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00705433869737095 0.00861948087975233 0.000187126148734449 0.000151883464336926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.383952514722398 0.448340515349808 0.435021299920737 0.480791173520666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155423267154021 0.190686674178001 0.0680577173214059 0.0909832967822139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0868803439332301 0.107546158539323 0.0211408501737076 0.0291838657447835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0565145922506053 0.0701914334357823 0.00905043052241699 0.0123494283657859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.218497142325378 0.263449144711881 0.136817270444433 0.173133000534909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0605482822858728 0.0737743136541711 0.00998266697661073 0.0140436491131742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0287023059054302 0.035070760886653 0.002137639789751 0.00327265152116369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0176846709539854 0.0213277787680662 0.000755957357846782 0.00127261894354245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.222015630687628 0.217355560223512 0.140576294757625 0.117532459274286 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0621245258097458 0.0682775190178409 0.0108466971196463 0.0119404373889008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0296223390896902 0.036477085723706 0.00256597992721737 0.00332592064520252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0182074890196941 0.0241679357294814 0.0010555874118527 0.00139661439026202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.654515400743537 0.730127987228257 1.31581625668793 1.21416833113443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.261504252389919 0.31519988375749 0.195454940996494 0.244118650731267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.145253790160521 0.178705037623196 0.059309627586977 0.0799970384278795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0942425166553326 0.116810152431362 0.0250088527674791 0.0342312780702188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.369274002600482 0.434735596718293 0.400994271291575 0.457085137266888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101146942610026 0.123102836326459 0.0281180397735357 0.0388004673116252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.047829326837924 0.058519483870701 0.00607524751374989 0.008966571518831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0289717347033814 0.0353989977111125 0.00213341082465928 0.00339112881505755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.371753743406743 0.36046651845871 0.402300112175345 0.31353207608615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.103609313574002 0.113748563106457 0.0302512958660381 0.0330061270292448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0493136216209157 0.0607481716931699 0.00700890728681343 0.0093101211728401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.029935262000717 0.0401240114454106 0.00273620526192068 0.00395128728865407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.101712245844665 0.124832632058027 0.03014899369028 0.0405414233314302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0418732074733733 0.0518812991060336 0.00508657904455527 0.00706250537143982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0234575987979239 0.0290852120194654 0.0016291985685974 0.00219908344406878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0153795022410702 0.0189734080269896 0.00074029958618181 0.000902402968152616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.058893776659874 0.0724972417304011 0.00992889313446161 0.0137940811738115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0164072489915464 0.0199800925002697 0.000732742331939722 0.00108372409707144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00802955160967121 0.00953513087390064 0.000147278327526074 0.000274017549270317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00626696237639867 0.00647922452656421 7.31691494186348E-05 0.000141543933718533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0600646556321952 0.0595019696604381 0.0103784566284115 0.0092625241872995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0168804262067687 0.018651025393658 0.000846636519319918 0.000891083884385636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00826286641654115 0.0101135786931986 0.00022967706036498 0.00023789166260969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0062239222381897 0.00728606211147525 0.000150644099722793 0.000105190901163351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.205392575414571 0.247646839572461 0.12524664648473 0.155813337818618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0838788567572317 0.103626760613411 0.0204432378420371 0.0280488363559834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0469062657599913 0.0581389678331252 0.00642933125011103 0.00883609002218521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.030555429179378 0.0378604861981908 0.00280254174276304 0.00368660577713398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.117981037758689 0.144847286016272 0.0403367670431577 0.0544801065125194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0327747821555003 0.039946800270564 0.00299113079915842 0.00426521900241977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0155844160558598 0.0188839376322392 0.000619097061844689 0.00101177079213356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0102418038666548 0.0117655037086558 0.000233696266629251 0.000421863458554368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.120150551870834 0.118962276278522 0.0418841854115056 0.0366608233900978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0337262156010621 0.0372760142209098 0.00332200124891747 0.0036049372687016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0160706475046093 0.0199623256727091 0.000805769052687273 0.00098957002744667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0103994326848484 0.013349772496616 0.000379392270611441 0.000409054160839104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.420870570277307 0.484195134436623 0.546229609572683 0.567942194732401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.168862484308802 0.20610086795166 0.0836719276949782 0.109282017174202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0939609092112649 0.116082905229101 0.0257336102838454 0.0351364123425955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.061059987274227 0.0756215285405116 0.0109691961029928 0.0148528580376958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.23787285193496 0.288040583155887 0.167658240958111 0.210203893751208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0656189811615009 0.0799427407881349 0.0121553331513973 0.0169105612241286 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0309476253160613 0.0377263272035606 0.00257348245745413 0.00390605612346723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0191782189809715 0.0229208763107045 0.000917513335248629 0.00149869125845344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.240706910375594 0.237472722619443 0.171017270404442 0.142978893279067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0674469492141674 0.0745323000242588 0.0132298230950236 0.0144457705647477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0319018942510265 0.0398067760708493 0.00305351391578298 0.00404948089175266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.019674017658162 0.026081013609344 0.00124659372381433 0.0016749865686114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32022403469488 1.38469925272992 5.99460299670788 4.05055022219847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.524903955635904 0.597439686127514 0.847136740681161 0.8634042390406 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.286335842560989 0.342518587805628 0.243254050798852 0.296620382487933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.184196989031587 0.224892369378571 0.0994244194734158 0.130099953291958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.749583560194197 0.833652484849988 1.79744533202963 1.60209101351446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.199645707713106 0.241242277184345 0.114960252439695 0.15137415796025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0935894225479458 0.114253501493515 0.0244280784680243 0.0349797737534746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0567978860485946 0.0688092664968779 0.00870904542607138 0.0128969753451531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.732114366298524 0.699695241088433 1.68789612328115 1.12905960286922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.202922565291441 0.223212874313794 0.121714326010419 0.127482500796999 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0956191331869849 0.119549664677299 0.0271023449779141 0.0368404817747826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0581127633458341 0.078020524320997 0.0102871513935738 0.0155213729815778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.23845664554493 2.29224491766356 18.269210275863 10.1992640842609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.891569358054721 0.969840848269479 2.531917732593 2.17094080614196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.484927851077849 0.558453489286085 0.711195202654169 0.764732800520173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.309529880877043 0.369194520347603 0.282956123876639 0.343964896274505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.28798281776181 1.37710117961704 5.63432394132939 4.08433341832043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.342993374902016 0.405348115869461 0.345861688305152 0.418891172581276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.159288925258232 0.19386569773951 0.0716991689728257 0.100171200949988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0963175126361995 0.11674878598492 0.0255204940548164 0.0369369197192861 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.22352052823556 1.16675344223558 5.00532025918814 2.91921732973617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.341126636868933 0.370196780701795 0.351453017320116 0.3413223584871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.160013116762001 0.200059910812508 0.0769705416847518 0.102166895856598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.09726442831026 0.131105672725048 0.0289753982740579 0.0436870603895344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.47316935056981E-05 7.58146858578992E-05 2.19377541353263E-08 3.51351725610941E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000212781941562795 0.000239370169493315 1.96747614235095E-07 2.84813673227636E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000443126034243318 0.00050038416206434 8.55624780346452E-07 1.22516344209064E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000817018763067783 0.000898432873703034 3.01165997961246E-06 4.8069707500783E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.86780971244171E-05 9.89593334913145E-05 2.91430818537221E-09 4.81281317367374E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000379573450696547 0.000460784296941464 6.311998556476E-08 1.00432661743527E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000863547415868078 0.00103564768701114 3.20327833969591E-07 5.00937221003428E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00163403117605713 0.001996998902085 2.43019206639475E-06 1.83223267899181E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000430535209989105 0.000786590321605002 7.76107040227424E-07 3.02943388898941E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000691352971925862 0.00103971508066632 2.01836202010001E-06 7.02171281104254E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00130957367350298 0.00191658668993753 7.20156694354247E-06 3.74810938386033E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00231221328307425 0.0035109655672891 2.08016594396739E-05 1.89767701884269E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0394428523596122 0.028556800044145 0.00406947518972613 0.00224800867474479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0164649220748414 0.0118739527045061 0.000706017222512898 0.000384531804386868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00927331348222969 0.00667919503091143 0.000228953439533088 0.000116917152196585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00608517529713469 0.00440908067688574 0.000104756330141445 4.65470343519631E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0230899890243063 0.0164307770705897 0.00137856065177868 0.00076491782797176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00641504385814454 0.00462265096436162 0.000101266684859219 6.45408122750376E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00314309564229657 0.00239141086563279 1.9938029430707E-05 2.09729380376648E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00241352481322954 0.00236361443832088 8.57723162142731E-06 2.43246534567807E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0246365204618506 0.0132299857413956 0.00159300840172672 0.000475892565720723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00692812681602953 0.00429217010840647 0.000133261728328585 4.34530428148133E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00349162784448533 0.00297681302605667 4.00888082092814E-05 1.44533705177727E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00289899110588142 0.00383601840679142 3.19500692350295E-05 2.35205876432506E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0788267436621282 0.0571749097776348 0.0164175674502297 0.00890578346941612 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0329241645970827 0.0237454088332009 0.00282118656272938 0.00154154630467885 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0185325762598183 0.0133330850580046 0.000900181811585031 0.000477995204157595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0120872575230617 0.00871518707620769 0.000394712679532831 0.000195841242491149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0461784115644091 0.0328619599836905 0.00554332243798345 0.00303693588574586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0128165737652175 0.00921087010125274 0.000414208037331499 0.000247578366772479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00610737352038685 0.00444514873382982 8.55227551067699E-05 6.47374345531247E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00395058359806764 0.0032453046950447 2.95154487561438E-05 4.17636392338171E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0492583194640044 0.0264523714504005 0.00635050513014383 0.001929924519182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.013816926172929 0.00839316480590828 0.000511536805038923 0.000183130056505104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00666340010262115 0.00484548935323438 0.000131071657250483 5.01637965104703E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00442907921265237 0.00456448331890528 6.6708105746914E-05 3.7693289208159E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157141657473026 0.114880401453885 0.0665911464631382 0.0351009988371815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0658127224088084 0.0475169199780297 0.0113391102846757 0.00613723811926096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0370540753391896 0.0266552880206903 0.0035812873625514 0.00192729018322527 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0241272773642035 0.0173782110677803 0.00153830426325957 0.000805515294155158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0923237019809481 0.0657595022568667 0.0223548340066645 0.0120151068924089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0256289117213639 0.0184065762092694 0.00167837666977823 0.00096957378844254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0121234303631393 0.00872552534531136 0.000358130565936616 0.00023172855874442 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00737603769005764 0.00554020577952219 0.000120283687271858 0.00010761284958048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0984182423146383 0.0529933544438626 0.0254635743509648 0.00772475622354306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0276152683840963 0.0166948849778247 0.00200941083573081 0.000756729643186074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0131597494072404 0.00905942649177406 0.00047983104849303 0.000204257420941609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00806437388510503 0.00672625062325706 0.000198002304035214 9.81023856741903E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.457952388952854 0.35814224905482 0.611310729260914 0.310528593283346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.196279710601104 0.143613670215081 0.103923055027414 0.0543032840427293 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.110947807348564 0.0801008161115538 0.0324512177429808 0.017235786472357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0722848694351731 0.0521187508392609 0.013711123258346 0.00733287646467119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.274854783823374 0.199494166765886 0.204764232353459 0.105209635238712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0769272581122287 0.0552677857106304 0.0153359150809301 0.00856170274439973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.036314775704195 0.0260705238827564 0.00334565254342773 0.00195311309739656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0216549542861114 0.0157673581477692 0.00114923814835514 0.000762509297137909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.291100318348797 0.162973702941011 0.229399686182298 0.0693287811838613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0827806383597265 0.050053229339097 0.0179801835019763 0.00692393693824031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.039296562968552 0.0266375480988474 0.00410649246307987 0.00193701566424191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0234721965774996 0.0175742768885498 0.0015264165218653 0.000802678302445566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.741864154618774 0.617786034660513 1.71969538542992 0.852816534153248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.323732183358466 0.24257265073304 0.290898849025195 0.150156137099621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.18422306755138 0.134052743364129 0.0907896696992053 0.0475435612564968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.120259425269713 0.0869834236335606 0.0381947433759684 0.0203005998683025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.449984071937025 0.340965019547643 0.569637280268726 0.290262811746564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.128331537733829 0.0923666767325906 0.0430260696920703 0.0236458974506356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0606257814614745 0.0435182172993012 0.00941159416677978 0.00536604461087613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0360851385901063 0.0262140821048679 0.00325784464078548 0.00204133042919179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.471873645187634 0.284511012833006 0.62710576584001 0.198073637867838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13776578134639 0.0836004952616062 0.050110520536409 0.0191954661352939 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0654526880468747 0.0443686635178061 0.0113432635602996 0.00544642242300603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0390223207449713 0.0289687277930154 0.00415022530403682 0.00226011199578611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.128899290290397 0.0933097886743809 0.0454518943081663 0.0239035002157946 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0535150040958062 0.0384613992452729 0.00771186969404569 0.0041419833770952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0300218799694344 0.0215313719535709 0.00243076029387804 0.00129453528286307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.019519019733613 0.0140306906403371 0.0010452555565762 0.000538415668040021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0748188892096825 0.0531265980978462 0.0151908829187326 0.00811249774214393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0207704659339824 0.0146658270684529 0.00114891256373523 0.000639325279710276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00980110198673078 0.00701437050528227 0.000238978008098418 0.000157456878691336 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00601774065795469 0.00463562110439883 7.94936208001806E-05 7.89532480419568E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0797584030939726 0.0429733337823325 0.0173012112121088 0.00520356048996018 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0224129167511359 0.0134707707333657 0.00138363864167999 0.000499420824822793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0106555681959095 0.00740283713496988 0.000330180084117001 0.00013260084468789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00665645012636711 0.00595421390057364 0.000141354671766234 7.38440330696273E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.255324826110247 0.18909877838074 0.184265595257792 0.0947538871232866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106815623330489 0.0771302260343228 0.0310880890578724 0.0164684662579821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0599986422634559 0.0430890781819738 0.00972183963339543 0.00518849417257065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0389962071851178 0.0280363436406268 0.00412652433820994 0.00218733141098791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.149258242866646 0.106619254653528 0.0612712753957853 0.0320750963733114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0415360163864903 0.0293348405900188 0.00463886821144919 0.00252131657960311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0195437667604158 0.01390974507811 0.000985516479352549 0.000591100705988331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0116758197274835 0.00860459274848025 0.000330479969978489 0.000246558802872055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.158880094369603 0.0865394809655567 0.0693631552825168 0.0207921452452137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0447982247322628 0.0268853120221192 0.00548391836128355 0.00203750210831694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0211943547110036 0.0143994045123836 0.00125743306307452 0.000550366271242473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0127556703920822 0.01011916590504 0.000479925773152431 0.000250671562805429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.49677997826706 0.391720187703269 0.743150285098649 0.379045768567986 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.212118983850442 0.155631925687567 0.125616537513334 0.0655378395397249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119651089059997 0.0864111737100937 0.0390793720984206 0.0206771733204832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.077838627395543 0.0561134297066705 0.0164481313260158 0.00878395388661677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.294906735617265 0.216774127827736 0.245374782818107 0.127282772279386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0830590401529098 0.0587634112114512 0.018716129584704 0.0099909927366886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0390689622735525 0.0277913201988247 0.00401447896202537 0.00229733231777233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0231601547683687 0.0168942271927417 0.00136467767834047 0.000891998726446322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.311758685972483 0.178727290416235 0.273722288179404 0.0848253773050902 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0894606476859353 0.0538472959922859 0.0218886757007786 0.00821222868612101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0423053707561432 0.0285856119232578 0.0049261296945969 0.0022646893912072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0251919438227677 0.0192431587750749 0.00179389837806588 0.000991857450055529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40514120252824 1.26598243751424 7.04380805719619 3.26898067157704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.610886457849012 0.490978033878451 1.13577359263364 0.595573639245923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.351861638732216 0.264958249439041 0.353489826571674 0.185763761945486 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.231072968489931 0.169788743978864 0.148461917426261 0.0786251175678978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.835015615079427 0.704879980555796 2.2246582742604 1.15515622751023 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249866810433586 0.17990078580311 0.173277990453754 0.0904433122911146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.11833368682089 0.0843178024432364 0.0375383613523448 0.0205946205102993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0700196748109967 0.050966404406948 0.0129073855288295 0.00775228382120747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.854155932822844 0.613689829860228 2.34974347120822 0.858099708493782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.264499022610061 0.165483331140847 0.19531270602944 0.0750329378500505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.126560134964455 0.0861175480165512 0.0441388487087263 0.0208978945960749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0752239525408931 0.0572169137257724 0.0157354014876346 0.00920847334166396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.31393228777368 2.17609670915581 20.460664416337 8.84028782545561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.987332505375453 0.842718934474274 3.16643127208883 1.631190423042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.571169899132139 0.452236188976761 0.969916993183035 0.51621675303183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.378339073813735 0.286428267203483 0.407419122739995 0.217603077931958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.36773675159652 1.23307900596844 6.52923674294026 3.22125442247372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.417651365907865 0.312960946489464 0.498263459138489 0.263383587808084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.200921534518645 0.144105353671484 0.109668000447988 0.0593635675719971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119143032008223 0.0867450180197241 0.037856685807081 0.0223412151372447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36023593625866 1.09466411606723 6.56836101043787 2.49259524141862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.428422615755189 0.288467511273121 0.530341279047703 0.216489156139587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.20964857618588 0.145974402698664 0.122777365602365 0.0593475528701319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.125112357146326 0.0966557814396474 0.0440549899075723 0.0262584719743349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.19349863035404E-05 6.25066687769572E-05 7.4897996582488E-09 1.7761070706694E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000116987661940289 0.000206473883529986 5.91556692701861E-08 1.48572668175202E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000243009840063318 0.000442381935051058 2.54658079307901E-07 6.75888466583747E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000458509870838981 0.000854677112276518 9.2388832401494E-07 5.29119130236686E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.06517909577463E-05 5.18486154872631E-05 2.25386913508174E-09 1.46047034119888E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000310701226892236 0.000295836583077794 2.52182432800962E-08 4.28456452621046E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000701777557020279 0.000676517094935623 1.16761493066333E-07 2.20309245647112E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00132688131772964 0.00140012545739311 1.05986889497819E-06 8.87597023412748E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000508676846877585 0.000313906671773512 1.08011499196981E-06 1.56199453212672E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000570116752773553 0.000539181174147289 1.385228354612E-06 7.27645669643916E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0010591005386077 0.00107151415425486 5.23312624716199E-06 1.35503288895826E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00205915441462443 0.00206505440536336 1.64317817178884E-05 9.86642908922374E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0320943400673467 0.0363045095562591 0.00277359980766794 0.0034534616339496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0133143801397971 0.0150684853836969 0.000475885647667984 0.000589470866938179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00746607536083705 0.00846034067870778 0.000151574872207847 0.000179818357218252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00487284031969044 0.00556429298508072 6.73541217723321E-05 7.15133758267805E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0183872970612675 0.0210469616373567 0.000892359362714016 0.0011471931467746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00516891957588529 0.00585621149713666 6.6926453784081E-05 9.21923951787829E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00249436851499431 0.00284285770300532 1.27739518572952E-05 2.44780756464145E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00187951811857183 0.0022553732686077 5.01325057378283E-06 1.77935776877866E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0145218336988717 0.0220611668026209 0.000578813005762013 0.00124998642721684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00469803800218481 0.00623170206758761 6.46504320121935E-05 9.39970377304616E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00277771906111879 0.00311701079982608 2.55503642779886E-05 1.95858469242024E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0027130226340511 0.00268629019117086 2.55924942907565E-05 1.60522378629287E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0642151801093896 0.072575650274346 0.0111721362686251 0.0137170177821137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0266313277093359 0.0301355110788615 0.00190183150103981 0.00236477739398361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0149294570195739 0.0169102785175469 0.000599457499804394 0.000732197970556598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00972284868415426 0.0110283406030852 0.000259581112265099 0.000298589301847428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.036778769763194 0.042090764762498 0.00359128616442098 0.00456481766122029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.010328534548822 0.0116983646633237 0.000273816343341546 0.000360774840796329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00487790654164516 0.00553268168448155 5.53244281381495E-05 8.59012393777541E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00311804967708096 0.00364204733799532 1.86724189514569E-05 4.10006076501352E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0290434527134317 0.0441099296751895 0.00229686466938234 0.00500863621936798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00935681242597477 0.0124313613337652 0.000246216304234062 0.000387136668625994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0052118926615077 0.00595724587848057 8.19966180295075E-05 8.05491416819141E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00400369821770942 0.00405292100153303 5.11714688885664E-05 3.66957949557156E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.128609338954453 0.144902669980541 0.0453812080828092 0.0538650836626463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0532801345099577 0.0602542197649057 0.0076320742323558 0.0094372365974255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0298610874155436 0.0338143019556363 0.00238888830522583 0.00295058547823501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0194374079711398 0.0220035344712061 0.00102127182602745 0.00122342527481923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0735808809787169 0.0841641700816121 0.01451492545256 0.0180900758579191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0206537152523524 0.0233921629055776 0.00110967559364077 0.00142647801277616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0096968037821472 0.010989466707492 0.000232201036027193 0.000324501033793002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00589129836334604 0.00674123663188231 7.84381857321156E-05 0.000128738174528952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0581378813667102 0.0881575170246235 0.00923061742265263 0.0199310229159325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0186984573328283 0.0248440557451978 0.000964133337321059 0.00157006490093321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.010233334055274 0.0117636109129669 0.000300472854182259 0.00033419475417937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00709837753206868 0.0072669745437542 0.000149825399498052 0.000124069145232441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.387371387520386 0.430759020013109 0.436553478323349 0.440527983311555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.160218309386903 0.180269391461342 0.0700395526763437 0.0828533386116747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0896449632656056 0.101347381994241 0.0216236058136254 0.0264314456199112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0583188250601427 0.0659275267300335 0.00913593250692413 0.0111416829735432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.221193203459841 0.252201054946914 0.135868936338103 0.156699133381809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0620015451997327 0.0702179370466745 0.0101501707139711 0.0126877068875845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0290460921597615 0.0329477404837815 0.00217079921428155 0.00282263712230615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0173689368213388 0.0196664767772899 0.000758177798813163 0.00102649399251659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.175894358668387 0.262830363491019 0.0873104531308524 0.172523238068747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0561351166884969 0.0744544281017872 0.00863595717104726 0.0141554382892076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0305383166581033 0.0351437460121456 0.00259321717960842 0.00309531131721466 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.020369694295473 0.021040996520169 0.00117394754862495 0.00109972282551158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.647935875084957 0.709952806599286 1.30074096811277 1.11739290831392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.26769119247218 0.299481423973331 0.198899359570478 0.222815391646082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.14959136361396 0.168659464630062 0.0606550314276823 0.0724907720228909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0972464570270911 0.109784649288501 0.0254728023965817 0.0308352102822177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.369878234009153 0.419625286406243 0.393377311718809 0.417943164517719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10350176778551 0.117243101018214 0.0285391768391956 0.0350819393003348 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.04847431603009 0.0550348717420972 0.00610986260702274 0.00780899898079947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0289405923484056 0.0327622311461074 0.00215024909028597 0.00280886648841219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.297872223123025 0.432887432591171 0.259995364010868 0.452519527270913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0936895841918725 0.124000434064391 0.0241935113562493 0.0390407301703485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0509256102777289 0.0585442145554709 0.00719968988692045 0.00861543670006838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0338686107243731 0.0349840681891625 0.00322289140465506 0.00306558314520208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.102540756989214 0.115466704847901 0.0298810847982819 0.0351007749353554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0421600709475782 0.0477322831748187 0.00500738324963204 0.0061031647058031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0235620124449353 0.0267385879040517 0.0015640225556721 0.00190447100368449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0153384664372133 0.0173878948665416 0.000671433294858264 0.000785494092359809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0595807964238466 0.0660957930884567 0.00988344820328285 0.0115448019658038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0161553540819786 0.0182383474814151 0.000711108178645501 0.000903179307714344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00757426036720028 0.00862236037930522 0.000146164643417097 0.000211139814661843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00467182636132675 0.00533179739153431 4.93578512956315E-05 8.52835502688515E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0471955095017666 0.0691576884122326 0.00625998012444718 0.0126977781120225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0151919823374246 0.0193216104534808 0.000651486610496193 0.000982965445328103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00827843142624847 0.00927219702148924 0.000202698696453738 0.000213302221848208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00589856378912807 0.00587933766488273 0.000105265313864799 8.13656967943958E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.20526044443426 0.230407858813898 0.122372499479747 0.135511326137717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0843458195781713 0.0954002637644491 0.0201636936032834 0.0242175488382634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0471198638491297 0.0534499029382284 0.00625658876310365 0.00762945761699696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0306614049955128 0.0347249669451892 0.00266228755627077 0.0031871127041577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.119132899891361 0.13224933211446 0.040136004188318 0.0454864391202274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0323076523022831 0.0364798342966327 0.00287307041531768 0.00358300231177433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0151044692766345 0.0171917021562896 0.000603419843844895 0.000816908229472099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00911399450038393 0.0103132478106134 0.000208337669609039 0.000302663961074612 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0945272172708393 0.138171417685477 0.0254082166567068 0.0501520652115625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0303653181738451 0.0386257174567931 0.00257802665737002 0.00395836447126526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0164158349368828 0.018429929063816 0.000773004318014054 0.000875128522873153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0111435542382573 0.0111447208763027 0.000359759362422676 0.000308194349885577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.411700163744747 0.457068879874071 0.518833123896248 0.500220195540325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.168821945470991 0.190547053218742 0.08175743800279 0.0946919808480888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0942666260497039 0.106813354831903 0.0251623760659014 0.0302885190275799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0613206288343011 0.0693982078088082 0.0106369515417301 0.0127840836902105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.238147730128737 0.264832129430688 0.165305901967505 0.176635477721454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0646511535781808 0.0730178852043469 0.0116119329097905 0.0142353629197697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0302043905386013 0.0343942683466717 0.00246008123042475 0.00321947838150765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0181451033388568 0.0204725531052422 0.000869052109771022 0.00115889888485887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.19028033977888 0.27513003589318 0.106041001143743 0.193608992848122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0607441638965404 0.0772165247381158 0.0103163902045974 0.0157973807761305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0327748269787757 0.0368128790479141 0.00303997692814257 0.00354291881691677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0219537720048061 0.0219535736059304 0.00136554287509711 0.00123254383029561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.26515032466268 1.33439807179399 5.64041956133842 3.62817173475089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.508742275463328 0.564949791629987 0.793069286404552 0.765942503402819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.282936974501582 0.318760207935254 0.232755602032993 0.258411748739499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.183694987070361 0.207539713348245 0.0964239005679512 0.112115094333782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.723005328976527 0.789421693839239 1.69934176174092 1.40416544018098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.195532453312564 0.221144530895883 0.108976885020772 0.127468590460262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0913976586407205 0.104268019903517 0.022954357224435 0.0291403007348701 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0548097077676873 0.0620125194241246 0.00820396927170356 0.0104137044572114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.600829689028553 0.79014522975661 1.19439233625968 1.4257775608587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.182699508488182 0.231107037984936 0.095639035063222 0.137775071776893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0985366136791981 0.110408867590986 0.0275974106426742 0.0316427917305552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0659974441695113 0.0657023426329758 0.0122999512615202 0.0110780833571254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.1514073775175 2.21804245419878 17.2530240839707 9.2091093107167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.85281081290405 0.927675542908181 2.35249126691319 1.94803053753369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.471623818807628 0.526414255544587 0.667874054896914 0.67657411925809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.305408906589866 0.34379347847818 0.270831708032651 0.299662636937783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.2364363166056 1.31703769407474 5.33161253485733 3.61499327425792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.331834674191513 0.375201458485949 0.322914598190372 0.358388299233283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.155165023770637 0.177517886652606 0.0669784485841938 0.0837778595828247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0930816643949824 0.105596042622741 0.0239230055479532 0.0300851889562118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.05270317374935 1.27250526511916 3.96224163062346 3.3987147430101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.30668648325737 0.3829353758654 0.278926242860494 0.364968956754665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.16535672116543 0.18417350597873 0.0789782266632227 0.0862658446147086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.111229741016102 0.109776643994015 0.0354048946201373 0.0303910138788795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.71617488060663E-05 7.16271628910237E-05 3.27670005862592E-08 2.14738418363158E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000286199367696813 0.000218229652213131 3.53108447113281E-07 1.20103325643026E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000605751138793107 0.000454121022215548 1.58663712282523E-06 5.02508554391604E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00121386942451037 0.000979807470175817 7.20367820949336E-06 1.20638648104822E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000125125135448429 8.97796995015204E-05 1.48086292482787E-08 3.56509134409898E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000579966584956079 0.00046826186654879 2.09834785578558E-07 9.31323383374721E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00129829874890152 0.00105852802695999 1.02322648626897E-06 4.72882359696894E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00255767520184096 0.00222477968912178 1.07007118949232E-05 2.01154767576636E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000323998514431402 0.000291399150493773 4.36178520022057E-07 6.62775018613898E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00075225227297441 0.000592834208376885 2.48423326750617E-06 8.78298286887582E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00161108277922945 0.00132656022655449 1.10155003417286E-05 1.65300144350142E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00271329280650118 0.00236364533136211 3.04120134767845E-05 6.9889014062341E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0327669178541172 0.0353875227617409 0.00287231582524368 0.00321338727535201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0135662815187432 0.0147433710243237 0.000493622795528798 0.000551271171860719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00762554968432088 0.00829775437698719 0.000162407308238659 0.000169097046140196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00511294154462566 0.00551278595936816 8.1481497215791E-05 6.76209697982973E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0186733144873615 0.02083252967035 0.00092356089073848 0.0011248170443485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0051756052269964 0.00581025897509352 6.43388249861378E-05 9.19332918290211E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00278491143109198 0.00289490812890372 1.3091886400423E-05 2.75364912345049E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00302689018169181 0.00271662268605978 1.55127039523945E-05 2.81456418809089E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0173153083957081 0.0188848943394555 0.000811044493115886 0.000916527589125644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00498084122944509 0.00547517600225263 7.30523119268573E-05 7.14902868854152E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00287769436583996 0.00295168259072193 2.99030045448758E-05 1.6642895650075E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00305957305732784 0.00279426838263216 3.74707009264775E-05 1.22646364935186E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0655451739131165 0.0707585692361217 0.0115605577106854 0.0127766345603716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0271299053514549 0.0294831369152259 0.00196284275518411 0.00221293398697881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0152221233096722 0.0165778861403688 0.00062938444699238 0.000689429259013386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00998462193741935 0.0108699517150823 0.000287088970073539 0.000282341329494448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0373471516014253 0.0416624147103292 0.00371450700495242 0.00447875564600656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0102961089340358 0.0115910444928604 0.000266751936146641 0.000355139750776979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0050749923196104 0.00553700398396101 5.45944790952288E-05 9.0345514967119E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0039767097465871 0.00395063929095433 2.97700094370364E-05 5.25090229773204E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0346244396953985 0.0377680603615497 0.00323478241663346 0.00367157451992649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00988317352998436 0.010915596594186 0.00027350226418775 0.000296606456714394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00505533414173669 0.00548205490339617 8.21442905942419E-05 6.70631415033434E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00396974149140819 0.00397772205807538 5.87067751659913E-05 3.00138662823478E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.131189957937982 0.14138733201915 0.0469158740925646 0.0504040752677848 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0542650624155313 0.0589540932735387 0.0078563265073661 0.00883855161910028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0304308962605201 0.0331435830293947 0.00248357989728008 0.00278059162988785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0198390995292993 0.0216618084766467 0.00108659283358733 0.00116092081029703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0747196764654339 0.0833005431766255 0.0149751352536342 0.0177884098263102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0205607750211281 0.0231641086143438 0.00108892438610331 0.00139607434233407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00988345762055022 0.0109401853869248 0.00023165755898724 0.00033056428124502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00647517932514533 0.00693975097857262 9.02564720370803E-05 0.000144752640101334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.069258447612564 0.0755271523856907 0.0129839668730429 0.0146272283098025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0197284258503385 0.0218149993274087 0.00106285806172204 0.0012077334554159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00972215285357835 0.0107325121130032 0.000279648419693041 0.000278522055103594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00643929015526175 0.00697330547966661 0.000138878714934715 0.000107012337694912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.395916437293047 0.421440836589817 0.448061410598878 0.425903097563144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.162987311787764 0.176569296214159 0.0719253215026949 0.0782203401443473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0913091272256839 0.0993451215918093 0.0223264457748443 0.0249749216152574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0593883534958861 0.0648913484756957 0.0094944156054857 0.0106224970429026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.225130186675235 0.249048071384881 0.13932484595372 0.155046471096573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0616951152011375 0.0694895492691035 0.00998185514083397 0.0123996324938717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0294138584955659 0.0327180970886285 0.0022036864399912 0.00281964637814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0178498881467408 0.0198526531167861 0.000782650911769584 0.00108226587217297 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.208277856056705 0.226145306325984 0.120022829150421 0.12797388501409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0591709368652862 0.0654255205966753 0.00947223090326772 0.0109232275967764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0287997302720683 0.0320228089333836 0.00231314795536627 0.00259410232546864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.01781968807946 0.019998621972507 0.000936275814462993 0.00098163647591307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.664007272922495 0.69733942610875 1.31467329053358 1.10843209568599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.272200972594083 0.293516752822391 0.203706826522712 0.212946953164962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152303400435433 0.1653671980327 0.0624920122771381 0.0687871077296498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0990154578224098 0.108057374456622 0.0263495520671924 0.0294693989482439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.377969749728621 0.412906043832693 0.401991905441287 0.414830453124486 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103016519846621 0.115906781965719 0.0279955058363398 0.0343218453420841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0490766968333486 0.0545932644920803 0.00621846887138812 0.00777061148078371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0295742018700092 0.0329959715537088 0.00221058826970459 0.00293712129514953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.348822508440677 0.375526370997623 0.344469238613106 0.343023056641709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0987102056358771 0.109020485548582 0.0265040570115374 0.0301500614590031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0480011444002032 0.053388884632967 0.00638303822001761 0.00722957513101091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0295321744162038 0.0332422366221642 0.00250497864727524 0.00275666965469952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105401194820199 0.114000618763047 0.0307523310581171 0.0340598047125223 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0433545078560474 0.0470814813791326 0.00514484416691691 0.0058692128936091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0242468506681494 0.0263947675368412 0.00162671921156097 0.00183068338965971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0157846847798498 0.0172567266910789 0.000714148004786039 0.000760770957280685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0597518597056805 0.0671985335883924 0.00983608547780432 0.0119401620364531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0164283732632176 0.0183176291095676 0.000715075665649327 0.000909816656019507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00788308255660911 0.0086497725321081 0.000148067835797311 0.000216560734783618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00537973419978476 0.00566498108851919 5.93014748578373E-05 0.000101682380067181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0555374605860055 0.0607897182491482 0.00857726133371495 0.00976677331114175 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0158191447759673 0.0173789245532307 0.00070856257067003 0.000782349326687839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0077871476241936 0.00863422575249441 0.000188840955400004 0.000178714376193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00545161887233586 0.0057666721877969 0.00010501985778606 7.00632972161937E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.211327887902824 0.227405893139831 0.126217508574893 0.132853753490116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0867375062288417 0.0941233609284512 0.0206928880942078 0.0233487774314783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0484907398986644 0.0527779066031679 0.00646938478672039 0.00734449787504733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0315059035968892 0.0344667011293313 0.00277449636541178 0.00309403428069314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.119647444452741 0.134288163063577 0.0398427205179469 0.0472219143966203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0328385260743816 0.036642421646032 0.00290097581880737 0.00360119166452935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0155636456811682 0.0172339048643859 0.000619148578293448 0.000823669523217889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00971322951533063 0.0106736541468362 0.0002204188002712 0.000333624707049039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111184761505188 0.121470938341013 0.0346525415821321 0.0386596397351179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0316221065039416 0.0347438856082833 0.0027934975629399 0.00315782770449255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0153393815211381 0.0171162393869707 0.000692580835680121 0.00073735479496559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0098556945320312 0.0108546771965706 0.000311537064173353 0.000277564907153996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.425512998743592 0.451373992856107 0.531961320501994 0.501545588315258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.173674772154563 0.187931966752855 0.0840638204405737 0.0920084058316726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.096985247168335 0.105495125289934 0.025946920431462 0.0292618394411854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0629790855719746 0.0688882446705111 0.010979029521919 0.0124473980369668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.240291121894935 0.26776155960104 0.163882622230814 0.183989774240813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0657156002290082 0.0733493595490091 0.0117362712370052 0.0143227838213224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0310403781532871 0.0344803785072829 0.00254811543997055 0.00322264628679841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0188721330743444 0.0210318710434807 0.000897061701603466 0.00124000275454278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.223035342636463 0.242193491082167 0.142070635257728 0.150575860212141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.063240863110808 0.069490692441479 0.0111595730723146 0.0126295085090976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0305538163173754 0.0341791147781833 0.00267732501653586 0.00299707813068192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0191627846443304 0.021387503098573 0.00110412214875147 0.00113515563619674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.29558021766119 1.32779713110058 5.58949108008447 3.73098428378692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.525668888915294 0.556709251312243 0.808722225758927 0.765426115154119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.291684942251688 0.314482338248832 0.240031278955834 0.254080464224665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.188926536292049 0.205783512184143 0.0993450814710114 0.110280222176077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.736991223856998 0.791980682336724 1.66510655035561 1.47173612941928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.199362546557027 0.221651279567918 0.110024899539708 0.128743342319764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0939148052649905 0.104455648554085 0.0239260980452304 0.0290829823607165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0565978135472502 0.0634489160594195 0.00848884183611519 0.0109610495947134 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.679001387569874 0.715480006693867 1.42336616080432 1.19269519060092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.190385634508313 0.208461542487129 0.103517049208712 0.110895780334903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0917384836129678 0.102750679259298 0.0242281805762891 0.0268927720438621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0572027109604768 0.0640633717116971 0.00957072449836185 0.0103510321293357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.1886983878446 2.2174043345026 17.0200754071616 9.46509493494225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.879734791312573 0.916635929465371 2.36199011071936 1.97502330159736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.48734259511175 0.519054834318783 0.684140797669115 0.673859719077737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.31484483590965 0.340387053391568 0.278799486430672 0.297482053169143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.25311299497766 1.3189846391052 5.15541687625281 3.78574161792429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.339368806542439 0.374614210512454 0.324901834750566 0.361923984640825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.159429505878816 0.177365414416638 0.0697370960248038 0.0835080580218722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0960949684594267 0.107601330082798 0.0248318407961087 0.031434695924172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.14137957770591 1.18837542287646 4.3101325594111 3.03258402714214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.319785333865456 0.347179229474178 0.300689935122587 0.298182184269328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.153821935422648 0.171926597998411 0.0697136217434657 0.0737167675282279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0959809086709356 0.10737288708911 0.0274303312460984 0.0286305157951455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000171041655080699 0.000206851092454014 1.22643736455247E-07 2.35227522359058E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000509386208865551 0.000693014713677783 1.11213762725442E-06 1.99301698503706E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00105937570668049 0.00146892621081927 4.79812449830278E-06 8.68552813804219E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00197254092153305 0.00277936943147471 1.69657205914752E-05 4.94271669234889E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00019922881313862 0.000216575377676037 3.79291521395951E-08 2.4239118911095E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00108796370022776 0.00118777307542686 4.3369270382738E-07 6.69776927306563E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00247281509215958 0.00270542325074464 2.03886160146666E-06 3.43622012955639E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00461812639349693 0.00525733550902274 1.63872677807499E-05 0.00011880813399387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000609779627112668 0.00153765874464207 1.49636766823789E-06 2.99338765030205E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00131444299031825 0.00233483967564227 7.35631272134143E-06 4.10214889068819E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00274469708382495 0.00469403599075029 3.16606818507125E-05 1.80379901458493E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00466057705348709 0.00797126272974502 8.96165544549246E-05 6.17326734303999E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0362895146624967 0.0338952949707136 0.00350948580458653 0.00309264540479083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0151032333158244 0.0140709597998808 0.000616200223194726 0.000515402005827547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00852636518429867 0.00800267810672314 0.000208741631013763 0.000149315538080907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00580736548025437 0.00580072416676238 0.000110976891663728 5.89123085767357E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0207179716581729 0.0194620283381956 0.00112314774503293 0.00102827738215777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0059057460687264 0.00557609415222301 7.79988815347188E-05 9.64794764238623E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00361842434698593 0.00381375786005565 1.54872266128808E-05 5.87203698627273E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00479808400712527 0.00551476997931501 2.12236077322251E-05 0.000127597530663391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0214015560998877 0.01605317167432 0.00122924113804372 0.000667660572906115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00617405116306224 0.00556255359174987 0.00011571560488969 5.80430514965534E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00377460574018559 0.00557927313433405 5.71737106196622E-05 3.1218155554167E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00482167970364224 0.00830283766170333 9.72417916702569E-05 6.74961933156428E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0725765166160098 0.0677857807140436 0.0140835104073492 0.0123264143580695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0301921019405249 0.0281181121366923 0.00243618093830853 0.00209309826207311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0169669430897177 0.0158370669445449 0.000792069981178032 0.000629476033786323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0111747347452566 0.0106405781892669 0.000370434851681505 0.000245762405268495 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0414366038726929 0.0389224049898815 0.00452184517503552 0.00408290431101202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0116887339948857 0.0109418693526975 0.000330452019024502 0.000346768430599119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00597073553453762 0.00588800683148311 6.28751043069912E-05 0.000123668194135499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00552799102274183 0.00620899521831828 3.65320281512112E-05 0.000153456223878147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0427857734103132 0.0319976338234137 0.00488407026259861 0.00270107604399703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0121956590273679 0.0102427304535204 0.000420042849998714 0.000239098999878963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00623864063468224 0.0072510596537897 0.000134960493374611 7.36513149138726E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.005499170272756 0.00894385661853453 0.00012426690411602 8.45018392656111E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.145096577994139 0.135589290912344 0.0567910373724869 0.0487775041810928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0603699611104579 0.0562281318327095 0.00971085163146988 0.00841433709305095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0338844491781398 0.0315911306822689 0.00309312913290312 0.00259114875276776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0220999257972569 0.0207504821652467 0.00136630113490774 0.0010422115846534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0828601240171004 0.0778739255459284 0.0182171369209913 0.0162000917941624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0233199805605866 0.0217871879464184 0.00136681495664002 0.00132181945247299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0112617187503927 0.0107318032249914 0.000273813784877207 0.000364891008226755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00791674901516823 0.00830317381117475 0.000103480413318678 0.000249633073181929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0855356227133241 0.0639721492782275 0.0195355617047383 0.0108312744481472 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0243098588660622 0.0200144979456599 0.00160761474346952 0.00100065523779593 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0117686169044191 0.0116023951043779 0.000424358525081139 0.000259959318236067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00804160937412694 0.0108230703776869 0.000237517224754225 0.000154859753818346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.431458408523226 0.409329747117267 0.523384531697309 0.419311316364312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.18095354202292 0.16871642751224 0.087998814495206 0.0749694461250957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.101572767976406 0.0946824855415361 0.0275449589348145 0.0236475918832832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0660389629243321 0.0617512222495856 0.0117325418522458 0.00986231821869427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.247912313215724 0.234540188499136 0.167127629311623 0.142699587344496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0699646460428171 0.065360101151956 0.012660140640575 0.011525639863722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0331900757904349 0.0312455059904927 0.00270256694571522 0.00277363940815208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0203044755345276 0.0196522888878811 0.000920394695364392 0.00118617266737847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.255345079453983 0.193141189795658 0.177302180635062 0.0963790209170809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0728134866296431 0.0596343292787233 0.014135046169855 0.00935132173205411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0346370735596705 0.0317448849109936 0.00333261910988923 0.00246815551993634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0210863239335534 0.0219904948164835 0.00134444364774709 0.000996159605341058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.710972673074057 0.686988347247372 1.48908051921742 1.11544587110214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.30065716719751 0.281803806483927 0.245909841775617 0.205133155654098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.169134087569477 0.157803195739171 0.0766115215776314 0.0654309662347152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.109965357493647 0.102825913282533 0.0323601315191501 0.027596349186553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.411480881617824 0.393305158663429 0.471626210905372 0.388903873696792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.116758147592436 0.109193685104954 0.0355821673219558 0.0318208916443161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0553465020280463 0.052056648561648 0.00770445185444566 0.0075021239839644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0334005160004597 0.0320195135152501 0.00264965799423353 0.00299064959087614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.421528671801924 0.325925710715064 0.493964045337334 0.265545946079326 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.121237374321154 0.0994456770913964 0.0392342467678701 0.026105383372824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576193556234417 0.0525036265201659 0.00906387098434288 0.00704089188832852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0346989461083557 0.034813008257372 0.0034679711541897 0.00279972129057416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116994975235418 0.107421842515963 0.0377630578650221 0.031481483244212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0482987583265902 0.0444704157789595 0.00640437504508265 0.0054156282008222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0270638894137044 0.0249601052679704 0.00204311126535962 0.00165766748105616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0176820860107448 0.0164952109467278 0.000914362741032673 0.00066443773467443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0664107403976734 0.0624129340335712 0.0120070248070687 0.0106783651638206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018652725961885 0.0172389623077273 0.000892444628195975 0.000859938103683842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00907256161877453 0.0086576495924031 0.000174696361921526 0.000251491736345046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00692559480912288 0.00742589682010657 7.40760696129509E-05 0.000207842717552071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0685274491379728 0.0510013191365125 0.0128799428117328 0.00708439546185282 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0194325505841166 0.0161594854181301 0.00106660264847274 0.00065018435852093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00947094223029321 0.00983292963686191 0.000290874748623212 0.000173076518954219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00694275227615704 0.0100827305687098 0.000185757128758696 0.000123570179994397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.233474917184141 0.215204097814758 0.152684573356883 0.123745233158268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0965679501080597 0.0889542698206705 0.0256421269564747 0.0216535297643366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0540837754787549 0.0498926225245851 0.00806830247572092 0.00674462226830914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0351832253503816 0.0326422751377966 0.00349199667011866 0.00277512282597592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.132682984541048 0.125020739301176 0.0484568269721759 0.0423254485790571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0372582687468714 0.0344249320700281 0.00364873241767379 0.00334295750318068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0176866215049803 0.0166094949150391 0.000749992312947629 0.000848327989686256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0114903195678644 0.0114716181119657 0.000266537401651401 0.000449812485630835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.13685694964326 0.10218994362315 0.0517027204046078 0.0282808929343168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0388083963006617 0.0320018214203925 0.00416386567127536 0.00268877732265412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0184816936216118 0.017559478782226 0.00101688395554078 0.000691634432047589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0117368164038234 0.0140290464574536 0.000468235420119391 0.00032311104621003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.462693810650632 0.433201960068603 0.621054116987971 0.478462688734222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192893562121039 0.178058770104866 0.103144702954335 0.0858213091524296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.108083807382379 0.0997953467067812 0.0321655019607446 0.027095961554804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0702358141848314 0.0651243856173497 0.0136865841031465 0.0113599427383041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.264499963247363 0.25127648692971 0.19650531971655 0.167138481609396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0745223002084927 0.068936251425239 0.0148069094848851 0.0131925220518744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0351583694135404 0.0329076241806863 0.0031402553062459 0.0031594732467071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0216716578719231 0.0209128437322294 0.0010961044382718 0.00136775416182411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.2722048410863 0.205963760341922 0.208049628643735 0.112405164557917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0775424381370034 0.0638609747391919 0.0165125689723792 0.0109289540108615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0367192938326322 0.033997732868402 0.00383974750964535 0.00288292759012876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0223487446992071 0.0236489455835288 0.0015343564869018 0.00118564283205531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35371559173205 1.3187722326802 6.06678822499516 3.80111058707846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.570130671986335 0.539356058200967 0.941202280997919 0.740202686457128 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.321966376169493 0.300197796714305 0.289498433890902 0.239553424697848 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209707685935762 0.195277150070943 0.12164436462811 0.102528294730949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.784096356317826 0.773177829539121 1.87468144160606 1.43603803480452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.224765291663865 0.210085484733213 0.137650996861436 0.119599802188228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.106222659403209 0.0997464948750784 0.0298174221362745 0.0278927266687798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0643586519114138 0.0616860725474054 0.01061542644039 0.0110135424720769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.787775978372633 0.648643023770021 1.8915060342217 1.00242744607683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.231277496167193 0.19278661747569 0.149034625857758 0.0986498390573483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.109796020289782 0.101625990151192 0.0337652127584326 0.0270622006779429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0659766806758065 0.0666638221294351 0.0125187408686348 0.011168801812716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.25289579331751 2.21455107655998 18.0642413867624 9.78754011085895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.936947777668287 0.903084288314653 2.66103515991363 1.96123121802131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.530329421409843 0.501806385741262 0.801210025618397 0.648984730927958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.346626789860944 0.32537049047259 0.334552176804052 0.280407280198365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.31416235544298 1.31374715158638 5.66238346374888 3.83830663449227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.379724461944048 0.359911143666147 0.400881435484495 0.345114064338133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.180290598677701 0.170445678676182 0.0871147649317533 0.0807735905166741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.109231699872004 0.10505740657438 0.0312299980606305 0.0315919327300208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.28482144887463 1.11773062070703 5.42435032714622 2.74031795422092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.3818546583087 0.325714535854516 0.415720543513717 0.274547013742087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.182555648839751 0.171363225577377 0.0944895549667168 0.0765997801158737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109761951473344 0.112129076052664 0.034799312614884 0.0322434214277785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000132741161602006 3.06944573846498E-05 7.75934238783937E-08 5.49027558840358E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000478825619748682 7.62568907420391E-05 1.00269412120531E-06 2.97894554984806E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00102107251774811 0.000148793806510203 4.55396877083842E-06 1.16550439367161E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00185569069076994 0.000273164673508953 1.57579279095281E-05 8.11308438891267E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.07825867087524E-05 5.27124782727329E-05 1.41130164657715E-09 1.20411668006484E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000260549969500169 0.000236121363195576 4.06030278458218E-08 2.39138533317588E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0006093128057179 0.000517440824115587 2.46297848342928E-07 1.14611879286849E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00139229085088085 0.000962999834659288 8.95886577629683E-06 3.73480243790332E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000183393347376934 0.000179361752897631 5.95959365665723E-08 9.26119065767925E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000555833522720433 5.81273410612881E-05 1.35413030810763E-06 5.73656291685993E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0014934928328405 0.000182751109834041 9.56313880594311E-06 9.15520742237723E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00269986271510202 0.000461663432328168 3.02245418079091E-05 7.86669528854724E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0437213426162454 0.025223838419267 0.00501227852380292 0.00156864661130228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0183518642564415 0.0102729914296233 0.000882219169503149 0.000262741781483992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0103261823103268 0.00574478337929978 0.000293185181300578 8.15196433359083E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00692498369268963 0.00375077498051184 0.000147948659919011 3.36881557891139E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.024433750585976 0.0145351426981199 0.00155169612927971 0.000530520441731123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00681390364284756 0.00401847733649715 0.000115708202733915 4.26548430492083E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00323809535809664 0.00192706496378067 2.32594267558185E-05 1.14222894235908E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00244464984387329 0.00142920768447943 1.75733386993065E-05 7.55039556523667E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0250675481962903 0.0121930292650259 0.00162483334066542 0.000373410092802501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00711141415941485 0.00371887972467223 0.00013714958693763 3.48929606242164E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00364292991120132 0.00195594834708304 4.43550838703742E-05 9.39652168444314E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00332366315767954 0.00136709512494863 4.33121619826755E-05 4.7978463652761E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0870978365674765 0.0507903712867179 0.0203075959735579 0.00621298165647859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0366583496722948 0.0205820044913327 0.00351412595708293 0.00104453021339181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0205746464724792 0.0114937379281356 0.00112736540533308 0.000327106956620971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0134706447403384 0.00748672145650497 0.000513476341799822 0.000137269210286353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0488473688425821 0.0290861970581131 0.00626789066806924 0.00209108527145786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0136216132855601 0.00802839962838584 0.000470106064535933 0.000165816272066062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00639688349602749 0.00377126405614618 9.77689093343702E-05 3.9865813722781E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00414350939812356 0.00240621528732778 4.36549332568881E-05 1.86875853340114E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0500919213651476 0.0244252050170125 0.00656251274422989 0.00147291084584041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0141934576523979 0.00743747774765418 0.000532277276401677 0.000139505146166673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00686857134375497 0.00388602211091352 0.00014058555368183 3.79335311066306E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00479812254572838 0.00255731344169324 8.16274553634409E-05 1.66954322649611E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.172495516185037 0.103247722228997 0.0828755982005018 0.0248986656416577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0730602390238755 0.0414160442290399 0.0141235261850692 0.0041505832653326 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0410663372752449 0.0230321744249913 0.00444658180698204 0.0013028870227563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0267329707909611 0.014977540398487 0.00193445731298139 0.000551974476381003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0975406132770596 0.0583099297323493 0.0254906116633779 0.00820118387698912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.027239661006454 0.0160532741156557 0.00190182958518766 0.000650563039280173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0127594887357603 0.00749824006500413 0.000403636387424311 0.000149362493389033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00775888207285823 0.00456149881702147 0.000149501849139963 6.04532733212737E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0998866393666945 0.049141390949491 0.0265916032867834 0.00581369365551422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0283670416963416 0.0148796590489127 0.00210599690477923 0.000554584591244312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0135295803315128 0.00775640330803331 0.000509304559398194 0.000152359645827531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00853430790101788 0.00501221350929722 0.000227261286404954 6.43156266754444E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.499277563428458 0.3269458452503 0.771238131743157 0.232407308561927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.215214341138387 0.128180788357559 0.129819079966563 0.0381562793848411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122094562371139 0.0701439558902109 0.0401838842347132 0.0117069024297016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0796667921660699 0.0452518381064803 0.0169550103942882 0.00494687827868093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.289288815641718 0.17820029259948 0.238691081320366 0.0721922659395166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0817108849023287 0.0482604014694966 0.0174999435406309 0.005690801431697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0382749224026 0.0224695017321792 0.00374384622977213 0.00127752366973951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0226460908692664 0.0134497612310909 0.00130124195912933 0.000480528811947611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.2938588356555 0.153136343730335 0.244781534901643 0.0533052083687933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0849217256252291 0.0448197816237102 0.0190692417147546 0.00488730746957241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0404038758230388 0.0232666921767922 0.00436391281920444 0.00135873047524547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0246252158632216 0.0149505720506416 0.00168799575388462 0.000568106754142526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.801487058136844 0.5747399008242 2.13185546726358 0.671597297889443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.353163783282089 0.218845137319345 0.365288905622539 0.108878958074942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.201416724945537 0.118820916608313 0.112516803688868 0.032993091614313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.131896632289956 0.0761591504432661 0.0471247206835882 0.0137929590670719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.474821052734822 0.304287804536252 0.673096163407207 0.202521326563442 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136161253092121 0.0807931052663605 0.0494413819706049 0.0156382472788255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0638779919043696 0.0375110727543085 0.0105525198002265 0.00349351807214623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0377131346005243 0.0223907385914239 0.00364377103480679 0.00129724493464801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.47785048046571 0.266461420618683 0.67997332153989 0.155148021952734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.14098317117871 0.0752407933030789 0.0534846726221943 0.013452013184423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0672807555251568 0.0388422161831161 0.01211510635545 0.00373186846747497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0409139368000225 0.0249239054390821 0.00457797547134469 0.00156226978529035 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.139073828042479 0.0806683921810441 0.053592955164799 0.0158086776851514 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0584372418117622 0.0326197758646784 0.00912650158444152 0.00265843166378478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0328521807189841 0.01816778262612 0.00289639062987602 0.000830968569730468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0213945115623997 0.011827052222511 0.00127120004407573 0.000350434206687337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.07815913751236 0.0464343217257591 0.0164609397719901 0.0053547499134326 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0216281959254858 0.0128253571314602 0.00121895796562944 0.000426185669950083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0101980117628175 0.00597693650658192 0.000260758522651258 9.77064902814079E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00629682177397298 0.00368845645463896 9.96268145999998E-05 4.10037367475204E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0800116423333841 0.038880482936417 0.0171330451919699 0.00377077527487819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.022413226507735 0.0120090992763101 0.00134318458854803 0.000365181453682817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0108238888158873 0.00623119981976323 0.000335856985436672 9.81094148996406E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00698038632022104 0.00407995508965883 0.00015859879754399 4.24924892240389E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.274039637851708 0.165466127519569 0.21931030149099 0.064648954869614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116020003053992 0.0660943122937832 0.0368151098508407 0.0107331336963117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0654794382391898 0.0365416372055913 0.0115319055129113 0.00332368565238853 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0425913590283901 0.0237139780039915 0.00492409171159972 0.00140507450842391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155670816866465 0.0935272888310235 0.0672398791773164 0.0211485046759829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0432455296429215 0.0256763616242925 0.00493220990009441 0.00167877221253139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0203772741501405 0.0119362273987852 0.00106698512637307 0.000375243081171844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0121695155401126 0.00720915706110493 0.000376195066604352 0.00014562581817761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.158902517129217 0.0788547463322786 0.0695011750242576 0.0151406720693123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0447835909895131 0.024051372329188 0.00535660006599523 0.00144928536829877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.021493289080857 0.012463493036313 0.00127101659891069 0.000392788698334163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0132323851888495 0.00808707582470176 0.000518122074051779 0.000167286776338179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.533125122852129 0.345969675469386 0.890966027858602 0.268531485569382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.228751514601342 0.135404230479995 0.149491551578895 0.0442144944154533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.129875274246408 0.0741026530338367 0.0463454600597273 0.0134617898692496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0847126969652267 0.0477873451211076 0.0194990130853036 0.00564246877402944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307913042238017 0.190329970523681 0.275519246663966 0.0846593674684685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0864347838828523 0.0515325121816669 0.0200442632475787 0.00662977800925323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0407719664395968 0.0238978461073802 0.00434385942805884 0.00146506369193284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.024085814934354 0.0143483947507543 0.00149803345481437 0.000551400591339683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.312381913632429 0.162850162890587 0.281240265352851 0.0625804695316042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.089324788521581 0.0483250740836067 0.0215515367294127 0.00574074873206444 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0428916693968033 0.0249505773314257 0.00498576278789808 0.00156094666473635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0260854724815994 0.0161430223321307 0.00191217520012788 0.000663092781493649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.46251703540673 1.18919094479778 7.89996343436837 2.69267982270774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.656549591042471 0.434407168438063 1.36120001490642 0.429534137205235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.37839299211673 0.23210831156515 0.423256700260263 0.12793908294279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.248643857207647 0.147790633896411 0.17590796759369 0.0526223269332462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.874320436030085 0.625306755841473 2.52251350373244 0.824084581220343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25953948117963 0.158632171271892 0.190239625714976 0.0604476570795363 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.123414883258187 0.0727387270794618 0.0410931516133998 0.0130650478892924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0727134479968533 0.0434606990988817 0.0140087960584429 0.00480568486455792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.861648486562563 0.560066691496068 2.46155655489154 0.661983788193575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.263305630886748 0.149102241828881 0.197599963490933 0.0519964315044699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.128030866181521 0.0755017179071807 0.0453352374735737 0.0137792885922928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777514979147563 0.0486033803390415 0.0168018157027151 0.00583912824431427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.37081281251576 2.09658163678808 22.1222729145899 7.79589568190441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.04756076768803 0.764949345017614 3.68340987963899 1.2518113081165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.613847701804472 0.399102027952322 1.1611546112915 0.367021436485587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.405843661649312 0.251628883718998 0.484480052320324 0.149561516089254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.41337930278622 1.13148018886309 7.19392180600488 2.49382078330079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.43648228709399 0.275344345198319 0.56024087404943 0.178049330787954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.209666287405014 0.124728568774853 0.121740841906186 0.0376967973789896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123956125072355 0.0740754211874605 0.0414604134651113 0.01366024813127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36394666083556 1.02467511470172 6.78955347574081 2.04185391946458 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.4292998588843 0.256836952186233 0.551494885492024 0.148594068804749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.211981079384264 0.127599076349927 0.128558153014027 0.0381565301829466 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.129642178138143 0.0818758756014435 0.0479204335155814 0.0161563065505711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00400570149417153 0.00229552968335685 3.92992298388435E-05 2.63767666308065E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00148393049881274 0.000972884024229427 4.87328983090586E-06 3.79573843725722E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0010118830486139 0.000745805395506585 2.71891826364824E-06 1.96931161227751E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000945938339743623 0.000745565608977407 3.10787691360497E-06 2.03511325631889E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00547060987631395 0.00264977915160788 8.55080045790406E-05 2.74185761612298E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00288763676811842 0.00184154863634368 2.14539754550234E-05 9.35055949066061E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00253023502782941 0.00186789077117012 1.67709962811476E-05 7.53485099329613E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00272914707315438 0.00212751949262126 1.96613015373918E-05 8.91306971717705E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00279508284009619 0.00180718420744351 3.03278173242652E-05 1.19075391336249E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00106652582852944 0.00103199322084756 4.31510849548669E-06 4.08431071341547E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00105043270415201 0.000993849030369013 4.72882138720072E-06 4.01157925410108E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00174598645904735 0.00133146721459349 1.3452538957944E-05 7.1911179410754E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.045209819308745 0.029744605024311 0.00518482029627171 0.00247945823853069 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0183899830456618 0.0118815708106287 0.000843332906924071 0.000397390205078268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.010270098526912 0.00659222880840697 0.000266292375114334 0.000122501463165037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00669283226435293 0.00430588851650899 0.000117165588022895 5.31972257598292E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0293247100938188 0.0192577009849873 0.00218606309271772 0.00107299806718278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00925333114594695 0.00587099039739456 0.000218759769578268 9.96572329041209E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00498160323862869 0.00320583508216716 6.31263060979482E-05 2.73049511361798E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00376526841636124 0.00258783074428628 3.65160365277827E-05 1.57303703492312E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0242254924407106 0.0140569560863536 0.00156545947345932 0.000557097951796761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00678081242582322 0.00451885108504303 0.000124262015413058 6.21978683339713E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00350043528820862 0.00269032452168627 3.66001503952478E-05 2.47223797566355E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00286678747779858 0.00219807075009577 2.79206588925979E-05 1.80424246222116E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0892685815169089 0.0598582672336138 0.0213642090134672 0.00940403755116917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0366100696720486 0.0237227810863702 0.00342595449666317 0.00154098329478154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0204357161305189 0.0131187145859278 0.00106369945401141 0.000474542814409727 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0132617418972463 0.00850149208162953 0.000454013401126144 0.000201472310606851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0573695592568087 0.0383802374125726 0.00873181857961364 0.00411879671140673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0176732565365243 0.01135324377096 0.000823672264557977 0.000372260980009473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0088170423325009 0.00567087506310198 0.000202879531572605 8.97282924366478E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00577346594706878 0.0038061655649746 8.64756351266761E-05 3.76752164223002E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.048027070745144 0.0279709853870168 0.00617104853350718 0.00213168689233289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0134010405773423 0.00882995484718781 0.000475456634705304 0.000228439972661587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00669717717115388 0.00509569190403372 0.000126349417672355 8.28529337815337E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0047177132849024 0.00373315737347935 6.74737816108375E-05 4.8112240967538E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.17397843316316 0.123434690899182 0.0869960907654989 0.0362592696523265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0728344425855593 0.0476489880690476 0.0138838162762983 0.00601798097652894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0407582282888083 0.0262382422596379 0.00427305400431543 0.00186170613912648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0264429092138986 0.0169502131860271 0.00179893605009585 0.00078498018535955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112528863621313 0.0780444258129578 0.0350580250415354 0.0161625729618377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0348621663246705 0.0225598214514465 0.00328259269102468 0.00145638770814437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169658822484399 0.010966064323157 0.000768924560386617 0.000343804580528086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.010410003046392 0.00679984025160922 0.00028831551952342 0.00012874685462813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0950255435497779 0.0565103320559141 0.0247387661365928 0.00820403752800316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0267045824091369 0.0175571461873925 0.00188353122957235 0.000874297643781818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0132260542630028 0.0100622501862167 0.00048009695936504 0.000307533296640581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0087379162229646 0.00707587280192705 0.000219675395702035 0.000161578868519024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.487997586229849 0.408742656787472 0.808737203946583 0.321649646086239 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.211530196972174 0.149149563559828 0.125541743538759 0.0531624846591004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.120716918587177 0.0799463150729318 0.0386231943608029 0.0163879741175351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0788585409416497 0.0510726818385829 0.0161673770803528 0.00687591503507568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.317459199790689 0.2528735579899 0.319912143707103 0.144277074526959 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.1028016177735 0.0689353871238804 0.0295700666586032 0.0129830838437978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0501669233726758 0.0327495102265477 0.00691404428640275 0.00305675603194765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0300858315506076 0.0196789462479236 0.00249002561773717 0.00111931145826205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.267722185275625 0.186322992055643 0.220631851888607 0.0727458433915742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0794615865326569 0.0529460275071003 0.0172347258625754 0.0074065107455362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0394595007160527 0.030067128181366 0.00432015045976069 0.00257229138242917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.025505880365989 0.0208079765926776 0.00185423914052816 0.00128841015135581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.798253004766333 0.713131547995187 2.31803482345804 0.89861493513003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.341599649838472 0.259249584641438 0.347486654604365 0.148630870151772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.197532963222581 0.136576524009155 0.106663745793254 0.0455874432643669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130165260812136 0.0862163456209848 0.0447127169512972 0.0189977287434646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.513039075825205 0.443518521150919 0.909115047179907 0.404468896454364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.168087172299639 0.1184102069935 0.0818852788313063 0.036754711006937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0830582909034592 0.055256639129409 0.019196108850148 0.00855433136015429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0499107019974516 0.0328879251808492 0.0069486009916892 0.00311193934053619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.428238273203388 0.33395225399916 0.616386407472846 0.20667719068433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13095835536323 0.0892838316787935 0.0486622164819717 0.0197068455415984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0656746473960537 0.0501705879797898 0.0122997979252759 0.00686921325100184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0423702791287545 0.034603165689741 0.00523849915146587 0.00341692257313591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.138769256208162 0.0956391666337481 0.0550576659962067 0.0227861069455064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0575466540514644 0.0373268655026087 0.00884541411986035 0.00380096629551152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0320981787261023 0.0205486520431733 0.00272216462389652 0.00117756953496673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0207925951059829 0.0132924322596774 0.00114701485226726 0.000498938684846404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0912852725716124 0.0599013418426076 0.0235179569121457 0.00957163440649422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0278378767608555 0.0176444266225114 0.0021231667318558 0.000888594666974131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0135261564796869 0.00858895513810375 0.000495447115493546 0.000207090468752551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0083771115515068 0.00547093739413232 0.000186957111753427 8.03887742440741E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.077475243741434 0.0439072506297425 0.0166315429406437 0.00517066799254255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0213871024030826 0.0137838897051898 0.0012199176698553 0.000543952973644932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0106614376015837 0.00792150266435521 0.000311608068083615 0.000193820789584089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00694114288726637 0.00552722406169351 0.000141200738720491 0.000100445807904553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.266151314033676 0.201758798553165 0.222360237737138 0.0901014480628918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113620489267186 0.0759219196065324 0.0355740108403159 0.0150066456528059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0639144477534048 0.0413033537194317 0.0109321906836552 0.00463975816531515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0414790767040974 0.0266021686110676 0.00457366780975225 0.00195992051069921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.177241209814014 0.124711692506507 0.0944100869135552 0.0381872638178522 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0551563567897106 0.0354059962398174 0.00853845590752366 0.00352146733896602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0265836334167417 0.0169438685807139 0.00195956488872972 0.000818317913928896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0159584755735759 0.0103814604570869 0.000698538710616691 0.000303730530571199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.150921622210317 0.0912363063627955 0.0662248426421969 0.020282117216405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0426322274019259 0.0275320305662189 0.00489296970371603 0.0020947479899613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0211995971442548 0.0157388766776775 0.00122176958745393 0.000732786844296027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0134445647347263 0.0107998726533409 0.000511401107906144 0.000360865779510906 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.510038849815435 0.434209135902086 0.911351159155826 0.364641569597186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.220674392359028 0.157905271443192 0.141987478694883 0.0601998196718724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126136783474821 0.084125396835726 0.0436324061457016 0.0184664293135772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0824184002992461 0.05364668117403 0.0182410617427948 0.00774787674831956 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.337488224200213 0.267535077392998 0.37829600567505 0.155697505899823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10871411859303 0.0723416638672472 0.0341241417822234 0.0142049855066175 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0527843022096578 0.0339879903928549 0.00788663474387196 0.00327183550276936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0314180448676831 0.0205640196666527 0.00277123090345643 0.00121048353008852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.285337191930423 0.200012569419025 0.260554538810009 0.0835038000775683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0844188066534941 0.0555965624281732 0.0197811525801616 0.00808705032877162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.042254096883448 0.0315421394099962 0.00494202159282372 0.00280451427283641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0266071785418653 0.0214760008712463 0.00201117261524634 0.00134892873225225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.4979653369154 1.42684752178847 8.82333734816856 3.39156307254528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.616102492785982 0.523388070022851 1.27725549985845 0.561200564278187 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.356997504700249 0.272049916608663 0.384086233529956 0.171017071821813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.237827102580383 0.169229688232328 0.160336479800112 0.070697303615582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.968834483995229 0.897492680205296 3.68170744486671 1.48865317007826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.309815837828124 0.238845120654271 0.313243342498625 0.140523000014915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.154808579533287 0.108214804063291 0.0720444605646388 0.0319684647322974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0928538020814357 0.0641177153270611 0.0252247471485982 0.011798245591924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.798637830356995 0.706264343792986 2.44135610260601 0.832493556605077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.240902690298683 0.178851014560925 0.184013186854896 0.0690635995016918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.124879260436645 0.096523903225491 0.0483286538443252 0.0227209086871916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0794120017379023 0.0651159449903067 0.0197854760112779 0.0109228409313185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.50910577759286 2.43971742730856 25.6089542222282 9.65288190762648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.00262673092995 0.910310907113248 3.59033134663362 1.59219872943462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.572445373657708 0.47482208526355 1.04978416342556 0.486572869241697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.381734523506581 0.294119262282317 0.433162260851916 0.201927076319596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.63525885068228 1.56797010090394 11.7059543070998 4.64908295014192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.507377266428986 0.429561783523476 0.966234772872246 0.469654447790911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.254144248353851 0.194535322004232 0.212067528649533 0.111251836017981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.153554436278555 0.114314399681994 0.0717373092734853 0.0433562051583214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.34043864207502 1.25065227612836 7.27103643359662 2.44571782606126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.395663746504645 0.319043291862631 0.559492258386444 0.195625949742485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.208938086670031 0.166497811543771 0.160816005543477 0.060685958988402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.135399860258857 0.110359291984305 0.0742340776374865 0.0286222545595143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0122204280772587 0.0128409009211199 0.000327727757728246 0.00100711581692188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00376814134480835 0.00421991583104442 3.09475222410814E-05 9.14563818675184E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00200528232630522 0.00258374019876152 9.57729916434365E-06 2.53309676505753E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00152144148139713 0.00231409528548619 7.23856075946213E-06 1.38040232697253E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0150263207639245 0.0149508638078322 0.000666272293629476 0.00112107761086094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00566508217101733 0.00670896837572587 8.82763333105586E-05 0.000190791036204106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.004100831897961 0.0055513797588059 3.78812383810983E-05 0.000122463610355751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00400031195282127 0.005657366388383 3.09622530754708E-05 0.00013002937141801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00896105436769934 0.010965641938016 0.000321060562465328 0.000393065850891314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00306209091349783 0.00553405533213715 3.64500881454839E-05 8.92978299707789E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00224717461012251 0.0045771315151059 2.09749879664257E-05 4.28239882191033E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00266959787575773 0.00507746039671894 2.99442869974833E-05 3.63966744993007E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0437224069110418 0.0435990736910801 0.00459665123612397 0.00626094230219271 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0173112402820566 0.0170212491820482 0.000743318004448751 0.000895171146630613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00957628671446749 0.00943269626688837 0.000235842256067835 0.000258671252171092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00622591338164929 0.00630398014664469 0.000107664067558087 0.000102619483080295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0310692978026265 0.0307737375230698 0.00246408532224908 0.00328261928616017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0099021943619414 0.0104313346369738 0.000247642339806488 0.00038901395383827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00571691659582767 0.00673163143418878 7.40039190242516E-05 0.00017081724336634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00473100060581526 0.00612380267134423 4.42547328821667E-05 0.000148945980991016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0237991911404622 0.0222381073607723 0.00169785570338026 0.00138822944118893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0066359437222858 0.00843780103334231 0.000138281208278365 0.000192346205806876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00361005608965908 0.00584183286234883 4.69995747454435E-05 7.41544401587818E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00316347572700626 0.00566629509070297 4.00542351056426E-05 4.96359980147834E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0836611044911813 0.0821043586317118 0.0184909885435655 0.020302603738898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0337339004430543 0.0328231571335141 0.00299862888089726 0.00314793377137135 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0187354270458351 0.0182112639210365 0.000935348649740971 0.000936965933218508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.012136346960084 0.011887339981293 0.000406365668867137 0.000374344747962887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0551202499884335 0.0540593615220403 0.0081053842509369 0.00912446737965867 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0167957331760547 0.0169135824720255 0.000742113917765017 0.000938144436092479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00870665670748506 0.00934048695378633 0.000184748411859753 0.000306391865358345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00623121277264763 0.00730684933137659 8.33471143555598E-05 0.000201545319868777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0446682426905504 0.039571894550538 0.00576462013112087 0.00434140283078475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0120812947481875 0.0136074910797145 0.000430803275407781 0.000497070406341868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00608597571896178 0.0084094345342123 0.000120218514376018 0.000167843363766215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00440002198150421 0.00704826042553874 7.078895497287E-05 8.98305959414291E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.165077450194329 0.161155954638004 0.0770403109021601 0.0731429905981539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0669644334646692 0.0650479700458454 0.0122706239899307 0.0119132447590583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0372322793485151 0.0360980143960693 0.00377648538120964 0.00361389125716441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0240932889237767 0.0234000090497597 0.0016010187008342 0.00147033926185884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.106207921580726 0.103564282394973 0.0316970930163215 0.0313444100135474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0318429185586175 0.031390219438021 0.00279140372213401 0.00305229916130481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.015672359645352 0.0158010421188414 0.000647177773845291 0.000821296517910403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.010043198394692 0.0106816133706688 0.000245572783961775 0.000400068392894381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0879548571711382 0.076416817054353 0.0221302537348063 0.0160240468949367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.023551939471645 0.0251881011078446 0.00158578057591203 0.00171638509537493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0115343560090692 0.0146401103089304 0.000401229425008159 0.000551466769236756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00756715188892201 0.0107983449042583 0.000188990511667316 0.000257541874079857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.48899624807735 0.481819517347236 0.758492173773915 0.568218577413408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.200121956890179 0.194691887196225 0.115375822400967 0.101030279437576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111382877226208 0.10805914474021 0.0347870271174795 0.0315177459974911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0720693463528232 0.0698903079237224 0.0144471828529232 0.0131237832168355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.313938435372021 0.306770459200439 0.301407746986885 0.249148354437525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0940843665758675 0.0918808416553057 0.025708201557841 0.0247307563130019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0453309917020049 0.0445377235192244 0.00582778334437761 0.00608980718675044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0275179638241326 0.0273324564434847 0.00208831560434977 0.00239259394970934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.261566131289049 0.22837742417798 0.202113576059936 0.135510111279502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0702685507874238 0.0733044410116774 0.0140773698179126 0.0144961524368645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0340863548705438 0.0414507662802402 0.00336291545521658 0.00469385928211671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0215565746823013 0.028670489715588 0.00141157507848076 0.00215213043484069 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.809499763839856 0.804536096631755 2.24455208913948 1.45070201616047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.332491788439886 0.324800820500763 0.329219123225889 0.269023170108923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.185410671251657 0.179982050330312 0.0981699385375821 0.0857599883604641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.119981278152726 0.116346689321806 0.04043058055138 0.0360845102916921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.52180240533586 0.512087455506691 0.881970356034751 0.646761338667155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.156935484184369 0.153108106015262 0.0732902667710614 0.0669649907487672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0755168506890859 0.0739409720085827 0.0165578950802081 0.0164505849479152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0455690789854859 0.0448968917344544 0.00590696769578933 0.00629828005825353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.430949044461211 0.384925178738483 0.573384997148718 0.359969383457392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.117398032614459 0.121700037680873 0.0399912098729611 0.0393196667047577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0569470318922197 0.06858250550618 0.00945701312986314 0.0128661705652391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0359183164063395 0.0472419777530133 0.00390678936117025 0.00597989746601694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.130835287603367 0.129772266584344 0.0485797541778547 0.0495428338904924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0527780833621227 0.0520915756160821 0.00779877815916174 0.00798545848219488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0292776872931399 0.0289112269441948 0.00240852209277907 0.00242366787977604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0189014657923622 0.0187512330391095 0.00102318072958155 0.000983305219974623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0848763444983938 0.0840726556870985 0.0203703270191791 0.0216407869334961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0258210830299325 0.0257343555134951 0.0018513167611179 0.00212461577669557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0128320975067807 0.0132201688556971 0.000431992278981775 0.000595412957505955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00835490946474305 0.00924970589908111 0.000166580937256467 0.000312042188246112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0709379133661489 0.0626946671069048 0.0148594199916357 0.0110476218198043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0189079954102971 0.020401019056656 0.00105154972383873 0.00116130569386596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00938738756654631 0.0121378617507128 0.000275289045767954 0.000380224023303292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00628244555020688 0.0093686662498811 0.000136184353372593 0.000188726075696523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.259828453819104 0.258082816002857 0.204019840221394 0.183005995204381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.105274820512237 0.103859359359787 0.0319783288713813 0.0307876067230425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0584662740067757 0.0576469459167294 0.00976525948696371 0.00949009747299777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0377286559516132 0.0372747844589426 0.00408446902828232 0.00391004175028688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.167112280867913 0.165354248437729 0.0831456898608815 0.0796269021802771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0505831274353899 0.049778510486885 0.00739176688147398 0.00768470558487957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0245355519642527 0.0244363940319582 0.00168093473077119 0.00194526769352053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.015057927499732 0.0154751370054891 0.000605073794468924 0.000824158888467075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140326397793247 0.123803262399357 0.0584519499026147 0.0424236968597603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0373682017902876 0.0394107877074894 0.004057820268172 0.0043596703474903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0183493188659656 0.022760110480304 0.00100863083366428 0.00142763579788316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0117185716725882 0.0163661867127829 0.000438615776998152 0.000677151672481376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.515303534728556 0.517428103268248 0.869238767569322 0.672860925119688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.210287884990668 0.207610123330712 0.131828981112822 0.118524064109364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.116856501915062 0.115224028203307 0.0397061642122304 0.037237708583822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0754250847722209 0.0744285769983875 0.0164260353671691 0.0155445876316144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.332294372353896 0.330213781396687 0.349363799389355 0.298453011332625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10093055473754 0.0987372349617217 0.0304060989781618 0.0294505540314253 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0485767392909729 0.0478523700841531 0.00684876362329102 0.00726553734382668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.029300092720023 0.0292577345495518 0.00244298875519122 0.00282434210517882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.278040343105585 0.24894805055178 0.235888785328765 0.164107188689745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0746018801593802 0.0780999718470354 0.0163041060960448 0.0170046047552819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0365733296127328 0.0446842748862065 0.00397300870716086 0.00564218085839114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230624382595612 0.0314460989047743 0.0016399368819053 0.00270145396666874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.54516063854678 1.56453758953133 9.25067284757317 5.16951803958883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.623904974307772 0.626206940462651 1.27545160043901 0.968823884198487 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.34841082900159 0.345983108238961 0.371389886752907 0.316628460927258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.22545597337555 0.222835071565336 0.151019427975123 0.135251766972343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.995995266227588 1.00231187464993 3.70939150115975 2.42820894959828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.306212107077848 0.300442698020364 0.307364898377222 0.260484716667602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.14773155609693 0.144959913559501 0.0680742857834517 0.0657085546797267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.088643867943296 0.0875937285196918 0.024100126761574 0.0248791263550699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.816145603343624 0.76970518125218 2.33670872969038 1.34673757453666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.226003990616496 0.234773243053251 0.159813961033003 0.147821209510228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111688252162978 0.133912220626653 0.0397384397277988 0.0505395886691212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0701112483990658 0.0939495299359736 0.0157529757649436 0.0251765369257582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.61594018839712 2.64290953807492 28.5384148817359 14.1194216523544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03376100814241 1.04135676559964 3.81675756375831 2.49397806504224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.575306323487866 0.575617009687957 1.08565927447312 0.829355765669074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.373104565917626 0.369757246690494 0.438734185388998 0.360285951091373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.69787237945528 1.71291539332084 12.3623751771669 7.63884441220303 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.521925519668596 0.517047588388303 1.05289153247598 0.782856107123594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.253849115178644 0.249406194867024 0.234451375611763 0.201689116333235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.15289830791114 0.149812791977627 0.0846040457611756 0.0733255815074653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.37814541065161 1.33292111132845 7.5183733922257 3.91449013608569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.383191066908531 0.398553388069017 0.504427030364966 0.449296926198919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.192614486946717 0.227063046109435 0.140064831582014 0.16521338441428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.1209273007525 0.160267950277248 0.050847493934891 0.0868777427911909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00771474797069884 0.0088861006695035 0.00013034832464575 0.000453619758854306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00400311324760592 0.00267518198815039 4.2336858837745E-05 3.8751352758678E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0037322394291188 0.00139049360727322 5.03214253830585E-05 9.30617686853579E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00454250552269043 0.000988543491571308 9.26274593900032E-05 3.84169395899501E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.011914082279608 0.0123659186810601 0.00042708193913264 0.000738961287285122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0106591299601136 0.00533650160821416 0.000272067378972034 0.000126239426846799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0114769880256142 0.00478611753645338 0.000251673913057162 0.00010169083675028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0135881865675987 0.00628525415333488 0.000290522402823254 0.00017345431479763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00681399000248352 0.00645251571390957 0.000170562959859958 0.000132847614579324 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0056502362292509 0.00275021987598049 0.000136331061566336 1.32298079989758E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00957221062416878 0.00352716610189495 0.000399373884864337 7.55680219980528E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.015139815669419 0.00525968627502035 0.00102028667242838 1.37202903312097E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0353355931308354 0.047663892993883 0.00318691446324701 0.0064777466741756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0143686213299658 0.0191349012335547 0.000552021454053194 0.00100488630819622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00853142396549113 0.0106283798287124 0.000222289531925851 0.00030266770251365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00685065794978486 0.00687778026854518 0.000176856293672933 0.000123383661588673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0249326966805467 0.0331300019154389 0.0017117645442534 0.00332338700741448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0123392685683225 0.0105552700073737 0.000382553584250596 0.000375161048125921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0118608105672858 0.0064970580986663 0.000276129431229846 0.00016578600022013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0137341522210061 0.0067917123403369 0.00030052780701286 0.000197367918597269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0175106976228831 0.0277913603025202 0.000900937650334652 0.00187200458100527 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00748625642173119 0.00763022106157855 0.000220710996367405 0.000120992695288453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00985820044425814 0.00470264221180795 0.000422159876625491 2.63820563729814E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0152590350579988 0.00554564223496595 0.00103063878847987 2.05532075456855E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.069926813796141 0.0922148008735732 0.0134423587365718 0.022497494464034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0279640798581853 0.0377254454486392 0.00212985987133979 0.00371802999455826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0157661489277583 0.0210363993531059 0.00072159752316542 0.00114262554050695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0110257681983795 0.0136139581738267 0.000406689043713453 0.000471787972225863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0454038315004175 0.0611150204242584 0.00581868801948857 0.0102991431534526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0165942879379184 0.0187707240167429 0.000726543699221817 0.00106160982405879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0129169941741864 0.00987982893480792 0.000350110494403215 0.000340204028161833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0141054444309703 0.00811005307852055 0.000329187109284924 0.000265534255169301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0329602425866327 0.0537017940199207 0.00315358384268803 0.00699032933802068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0116765503939826 0.0143538778266383 0.000479589688371698 0.000465850576801778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0109076571859256 0.00739781718179762 0.000509496057536467 9.17093323924352E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0156307475398685 0.00647487814040168 0.00107355432070255 4.22111643601115E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.141945249013818 0.180168091909005 0.0589334476283855 0.0809694214494692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0559715966067984 0.0747219167874656 0.0087127335579492 0.0140980581717353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0309523577304844 0.041851932522884 0.00271588398718729 0.00441646445019245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.020473470615235 0.0271188265471584 0.00128172864385567 0.00184410501947948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0897766749803283 0.117756662273972 0.0236863553716491 0.0359799181527789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0280805000029969 0.0361594748861378 0.0021765027926313 0.00367103833353903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0167742766281906 0.0178235009316446 0.00066154901155828 0.000987533394965256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0154756996916657 0.011959038773647 0.000444375982728281 0.000518588945334462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0659760774239472 0.105238630737034 0.0128759701538138 0.0265168673739172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0215211850115341 0.0281556548035295 0.00147844537119379 0.00187492437063729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0147614355124888 0.0136471064807073 0.000874300622915306 0.000382640774023199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0169999377430645 0.0095148059903816 0.00125125274584079 0.000139624780399106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.448642520683933 0.515360723100291 0.650976082069256 0.593824371477132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.17296657301551 0.21833098672302 0.0874434733474106 0.114367088091447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0940226652230645 0.123636607556284 0.0252001825345741 0.0372454187377472 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.060589793665361 0.0806087262682797 0.0105704917699338 0.0159258699960633 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.281154909803413 0.335954157951048 0.252771484811802 0.267005678896707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0809101100657035 0.105765503278545 0.0193330409456691 0.029303461481061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0398366104914067 0.0514049469305369 0.00438205721249331 0.00732391936774997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0269717916244447 0.0311210380196396 0.00179555832348162 0.00293055337493176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.209887808822524 0.300863238268336 0.141002789736441 0.204902447525093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0638914881832888 0.082936716473289 0.0122258462301597 0.0165036229981919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0366568206866255 0.039792051676801 0.00460059955588729 0.00369698896232596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0283727670180185 0.0248717464778225 0.0031731902668079 0.00135011292569508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.768276952012302 0.840536970959386 2.00842849410872 1.47150883696017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294840405500492 0.356982373973973 0.261981221340641 0.296464877073398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.159208994924643 0.203213103008906 0.0734284816039647 0.0986417957690884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101942316417654 0.133031610108366 0.0298513266963234 0.0427472142803666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.482435630354665 0.54580038839853 0.779256023781666 0.666107332529141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136937086909426 0.173678606539854 0.0572322922040377 0.0766808232375718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0655350047069951 0.0849431832828015 0.0124731420137809 0.0193053018719453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0417842347387215 0.0510826599733226 0.00475942048518582 0.00745002851870624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.364869807613428 0.485265576831814 0.4481697029769 0.508354792869451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107839701726173 0.136405997264412 0.0348858089967728 0.044210949612602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0604436906705944 0.0658138925605631 0.0119694627868811 0.0102811172399087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0433623633414638 0.0408587845474328 0.00694027425205775 0.00387015630934763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.113034801305721 0.144689494647409 0.0381723353910044 0.0548699248463231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0442405217204267 0.0595828146824824 0.00568185675509327 0.00940865724645338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0245679385214425 0.0331486268237419 0.00180652226556755 0.00291290347710309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0164542826500131 0.0214409708564821 0.000884578650863293 0.00121094849544993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0714111033115819 0.0948013248969679 0.0153695627721302 0.024551314608603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0230110978799456 0.0292008719059537 0.00147767024719056 0.0025282541311614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0149752756330825 0.0145665894958956 0.000513454228914146 0.000704769721072437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0147784412246753 0.0103499848301846 0.000387907695295686 0.000409404376107897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0520393888597628 0.083374446312379 0.00835453172331691 0.0172758650149505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0176438408568496 0.0222833266663096 0.00106640757043694 0.00120458882750218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0134511196182853 0.0109517603724038 0.000749524156245075 0.000241727149767953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0165370664261194 0.00819542620195024 0.00119954641803798 9.29343527425899E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.231898238366085 0.281293615101109 0.170737237250078 0.195985519389879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0893799854668318 0.117603613547296 0.0237870666890963 0.0355658158060953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0489588459020713 0.0658645237094879 0.00712406087434564 0.0112674087628863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0318631101424302 0.0427318541754289 0.00314086448947156 0.0047471713411977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.144257100958517 0.183998073558837 0.0657775291753367 0.0880662595477518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0427027918856745 0.0571174695121872 0.00536391030243632 0.00923013475569239 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0227607918870683 0.0277402575791224 0.00135669580662165 0.00234949300758992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0181008695915772 0.0174491488654996 0.000694002862504045 0.00104306453613513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106134805559157 0.163068229198806 0.0359354789197989 0.0646599793906477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0339222694108474 0.0441427408016355 0.00373134690898474 0.00484273561831664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0213540322418107 0.021131479160389 0.00173901511930315 0.00102151336848105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0200747137464299 0.0138757934882958 0.00171196434847602 0.00036799849818295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.480306489867396 0.544150823808984 0.781205611133141 0.682787623867407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.182904782676164 0.230391313336633 0.103082083631198 0.132191514467852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0991338271602794 0.13005659699617 0.0295068922365275 0.0429621071029818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0636510202540511 0.0848036928590915 0.0122611974720296 0.0184092822591373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.297879167487452 0.356068911184258 0.295747742431487 0.312129620615201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0848352500165959 0.112579432077703 0.0221509021310501 0.0345912149911774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0416483514598019 0.0545489001403406 0.00501569723141268 0.00858155577652086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0281210021471181 0.0330438886659617 0.00202358913182431 0.0033982193929919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.221747525983565 0.315488049686199 0.164828722899082 0.232520419814941 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0679146132291758 0.0873261949187555 0.0146299452499739 0.0189620853391464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0395507014114987 0.0417834111886863 0.00551591226120102 0.00421760348093143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.030346704732549 0.0263766511792338 0.00366923563976983 0.0015593622024761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52037645682756 1.58957620702318 8.71393335656002 4.94978241978936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.57810008377386 0.657877003877748 1.10280256979552 1.00113739451657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309922193530591 0.375186954258749 0.300271445760807 0.340667187218933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.196546669219273 0.246820976870426 0.117885180543761 0.150230661830739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.958539800273112 1.01864531092134 3.42437390376299 2.25160732487489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.267575137947361 0.327964837151428 0.238742147179538 0.277209394408899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125746018510534 0.161342876639875 0.0505536164646585 0.0709066422150998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0777589350451618 0.097467060242398 0.0185924659529014 0.027011575357277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.733356340234439 0.883365615638194 2.00655531405837 1.60251042272239 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.212387968117911 0.252610761243082 0.147133686194265 0.152765386781688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.118602397319864 0.122720784796051 0.0474306184266628 0.0367685677617914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0825216345074381 0.0771733416266062 0.0246230689959812 0.0145199176484976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.596519070075 2.66698531332999 26.4171341014756 13.0367124155231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.984058026419977 1.07185972721979 3.30506922684247 2.52344159095599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.526999781806719 0.609021021428882 0.887153945460285 0.86881312647795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.333087197563124 0.401528860330667 0.342182005820057 0.387838389804617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.66778106123354 1.70566257208789 11.1025297591499 5.99648908349425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.467700646997279 0.545033784908366 0.781277546341051 0.750864980259228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.218234537823319 0.27037430328887 0.160353771587318 0.197451213616027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.132301518660798 0.164636735877469 0.056621534030361 0.0766526991960598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.29972685324418 1.45460257410975 6.64809291833726 3.98018880570681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.366202087343672 0.411313674577043 0.459250467201442 0.388877985779726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202782717911925 0.201476804705925 0.143282299692684 0.0974618173872031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.140145803704329 0.127537422179734 0.0722070132451784 0.0398571947817934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0171617724371934 0.0137334638385418 0.000658576749824322 0.0010008676009653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00546068553152603 0.00457492742890719 6.61600068629619E-05 9.18123037494729E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00317473039520567 0.00293831258342666 2.53822032020864E-05 2.56243366626002E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00286807511894821 0.00303629207792019 2.78279038578966E-05 1.55851455756006E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0202944556519341 0.017589285873384 0.00115544961486104 0.00154867602346409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0085694024113473 0.00864546328039294 0.000177633702464492 0.000318104104092795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00699454945000369 0.0077770881017924 9.2924333726564E-05 0.000246686142365607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00744616570804769 0.00852958987777922 9.36285204063014E-05 0.000298772266354505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0126792569608474 0.00999035533938579 0.000590361517206853 0.000293847196278567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00538438791560471 0.00403982568276585 0.000108564052018827 3.36604912926821E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00435239253709967 0.00413124611840522 7.8561135131736E-05 1.71246254664937E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00524169229249824 0.00587659896364444 0.000116066164766651 2.29629233876286E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0481074709131893 0.0387649546863825 0.00494007439090093 0.00513867935309776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0185755170243593 0.0151114933244806 0.000785091593962696 0.000720311969206905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0102525237532825 0.00848136231159342 0.000259431072908531 0.000202745800038624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00691966648278295 0.00598874950255875 0.000137786718675343 7.86363765346085E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0353276773568423 0.0295918659044117 0.00301394883572991 0.00324790214020029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0121546785828469 0.0111275230382147 0.000345328569552829 0.000475534021239855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00812707954575226 0.00846915643518121 0.00013011462892794 0.000285926688790527 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00787015817062066 0.00875864932560071 0.000107970451858619 0.000313531022747465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0253785973937938 0.0212887985329479 0.00192382513198831 0.00118817539650197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0083483139261192 0.0064670928984859 0.000225532669451016 9.23311808280095E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00542229273426282 0.00477975967290933 0.000112824505322171 2.89135477622666E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00563272858384916 0.00606692227264213 0.000131604934113794 2.78350463254867E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0885690113131911 0.072550402437502 0.0188242228576506 0.0163828596484691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0353954807236587 0.0290471321069392 0.0030703342108582 0.00250692586377818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0196423464305589 0.0161855734328188 0.000979282878863433 0.000732748018899338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0128805974765989 0.0107282464306625 0.000456078220805408 0.00028229677589519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0596829984143351 0.0493419410392332 0.00883667210738905 0.00794693503324569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0189053734127654 0.016255104770202 0.000871307880639311 0.000921706131696073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0107445391280386 0.0102229768135821 0.000246959526229981 0.00039772170896276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00899753468355834 0.00941504334669401 0.000151073696430423 0.000356994482450935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0450399565380029 0.0384515493011398 0.00575047964970511 0.00391551711933174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0136741782486892 0.0107807821510527 0.000557435272561326 0.000279588132235395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00776947534884517 0.0064008763792187 0.000210259680741652 6.83219916876896E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00671342047812358 0.00666023907318352 0.000177559634686723 4.29057186960927E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.172618432829656 0.14276481960416 0.0770320906375404 0.0593805660580939 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0698928924721872 0.0575114163341028 0.0124859450570072 0.00948448627641052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0388541959006173 0.0319876931488744 0.00389766620656376 0.00284732021826832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0252445754254516 0.0208294777662526 0.0017088951212915 0.00113021143989338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112601392059677 0.092417704573503 0.0329858456509399 0.0259211021777607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0343750809945525 0.0287032968810425 0.00305209773638832 0.00264406147379952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0175879295525957 0.0153288149975624 0.000738244349272978 0.000827553501952903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0124374195213349 0.0116972255806948 0.000329359881830146 0.000527711655202759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0869357193807866 0.0745568154057496 0.0209337669937828 0.0148837302651505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0255568734489417 0.0203783214943768 0.00185001372992908 0.00106206855089456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0135425229454564 0.0106912422303798 0.000579508625646329 0.00024273850939944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00987314845337946 0.00867841893564233 0.0003503932552033 0.000107783711019817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.504160657122158 0.435107604544845 0.721961898238298 0.491892707748548 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.208258783599963 0.172690738848943 0.115461501820352 0.0819108078976405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.116067849659186 0.095719063667152 0.0354207174036009 0.0252083467918831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0752195335284121 0.0619691935301289 0.0149563604262937 0.0103768967338354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.328864510204675 0.274261710842736 0.300913993981609 0.209555403205031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0998919631860068 0.0824484600596025 0.0272445450409262 0.0203647462621815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.048759313640881 0.0404142418136539 0.00630780912211768 0.0051844115889583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.030467680928385 0.0257463298977441 0.00237107297717087 0.00226730358261367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.256762376870577 0.222466453899313 0.184776906552293 0.129616317432391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.075013314005056 0.0601119476678373 0.0155293779330215 0.00957354702469831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0385902621826074 0.0301161013926064 0.00435307026663237 0.00227569010802603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0255822446761297 0.0202559758645348 0.00205708950573288 0.000904255126304351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.822955165074463 0.739069796723823 2.05994593336875 1.30385023254728 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.344655777791141 0.289922483612445 0.322973004502016 0.224244500109996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.192981595632276 0.159812262082325 0.0988175045213153 0.0694999299417431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.12516918421469 0.103272772245434 0.0414155258709004 0.0289057669640256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.540823698092583 0.463389142029281 0.85079512192737 0.565997528610389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.166081699225447 0.137413174309834 0.0767056670036585 0.0554320776720789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0808589474800944 0.0667020091982346 0.0177935131437102 0.0137551781799269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0497952160053166 0.0414904328664028 0.00661764154648622 0.0056597139898968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.423509655420738 0.374374229516766 0.518025145944436 0.352124691048377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.124881006900779 0.100319112916144 0.0432675984994006 0.0265142824771916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0641313448229782 0.0500668901699633 0.0119336637059311 0.00641612172880417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0421551634201193 0.0329187259593176 0.00542731202296659 0.00258546477824059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.140171675047756 0.116823314136599 0.051129212099561 0.0414660550461244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0565700724457095 0.0466420418352257 0.00834875180534505 0.00648585357350632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.031393198732639 0.0258669878077104 0.00261709507278916 0.00192684861245486 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0204375050048606 0.0169023331005084 0.00116077969476411 0.000758681122615948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0919375798386119 0.0771339539518631 0.0224817483530046 0.0185303403741803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0282989164903752 0.024019845233449 0.00209354983864871 0.00190026800594699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0147593353564817 0.0132746221088982 0.000514165981888353 0.000636425950890616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0109193996602601 0.0107083657422867 0.000245253251621908 0.000448455213148609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0721353380208202 0.0602281819166238 0.014740550032632 0.00987966338327396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0209357654506474 0.0169089808090555 0.00127742305226502 0.000737837943409373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0113887626780948 0.00911671783367199 0.000424621219116158 0.000169969775679917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0086642910262643 0.00790873567193546 0.000275925481950454 7.98271859488578E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.275856917044493 0.233032644283662 0.210753946852006 0.155589325509089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.112548609368927 0.0928200431857931 0.0341076305601009 0.0250158007169189 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0625013640103277 0.0514080620058495 0.010520649701255 0.00757921308511819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0405435892412923 0.033302588749419 0.00450944371565749 0.00306209916299237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.178945716335643 0.150092423985272 0.0888973209277596 0.0665595303006229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0543511466181629 0.0453617155157568 0.00809456936137292 0.00642211567936027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0267564068617916 0.0227926368336687 0.00185977980936454 0.00174685631268201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0174858754497606 0.0155781588349088 0.000731665627169231 0.000888658472169352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.141596192831552 0.119232785758553 0.0567030282225589 0.0387422458843466 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0406600424793758 0.0329856515830509 0.00469071621210291 0.00293041987354161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0213012059238443 0.016768829189211 0.00139158732108545 0.000676356076582362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0146113514258594 0.0120572741257105 0.000714689662464829 0.000269331316068121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.540824938090649 0.473160364725178 0.867745004626018 0.59436624105618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.224012748704367 0.186024491450318 0.138702371725079 0.097705373173672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.124767304133029 0.102676064761925 0.0424311659361583 0.0299726907498914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0808963314273803 0.0663371429312832 0.0178771086086334 0.0123337253684496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.352465212909318 0.300864150807712 0.359807445387527 0.254386582396211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107396771726989 0.0894175920604451 0.032663851411646 0.0241738951928006 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0520846335644752 0.0435912447541109 0.00744747544940062 0.00606934276142832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0324504398012051 0.0275653856547268 0.00278333348152892 0.00259310646290358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.2801578410965 0.239478140405194 0.226273832286821 0.152176287598206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0806632548750147 0.0656546772272019 0.0183513628177656 0.0117417242672588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0417755978098476 0.0328263343937321 0.00518273199014173 0.00278043183451328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0275903165927749 0.0218483693251331 0.00238754103240798 0.00109499237341108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.56382898248093 1.47546993841552 8.6217050900318 4.80691921978398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.654224227177773 0.572240756466988 1.26794227567341 0.849350394552866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.369287320686782 0.310839209111887 0.382661405644173 0.263985377805012 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.240827286119652 0.199102391808328 0.159544231886713 0.110106495006827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02270427802457 0.939290659934875 3.48338201081672 2.18750063738851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.320926600963785 0.272199959520525 0.309614314802744 0.217274479358352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.1561793238049 0.130548017239705 0.0710896717975629 0.0527260721433031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.095889274460572 0.0802461137664691 0.0264224428703017 0.020765926345163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.814968572933502 0.746124617573463 2.14402625975182 1.2964367182201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.241061278543981 0.200325579103354 0.169388090870891 0.105157797978356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.124928929328901 0.0994802984491008 0.0468962010034047 0.0257114711612378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0816824764940863 0.0646755969557323 0.0205911326099126 0.0106457065099738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.59753060355082 2.51220772374286 25.7487303289655 12.8297159096958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.06592840376852 0.968761771307209 3.56670682145882 2.27289450448042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.60372599731233 0.523409904228014 1.05034116991661 0.718943581479499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.395545261380443 0.333132727305555 0.434271135280494 0.301477486739428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.70287577263365 1.61515455106568 10.8627492710878 6.23106828146425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.538149517778638 0.470673309606968 0.941167017759633 0.650304020943946 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.264795033518252 0.223840402323694 0.216285810457419 0.15762707742678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162961720662912 0.136652400514387 0.0809749635130167 0.0607783789692835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.35081808988832 1.28826936879467 6.52058611431181 3.5008464052335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.403244591657023 0.344249580251464 0.497906782834349 0.297278713180439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.2109468698928 0.171424296092891 0.140517639768006 0.0752396876102128 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.13857921595405 0.112143840724118 0.0626960130081125 0.0330986945261158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0122680859778305 0.0151101177740668 0.000354060713323546 0.00127215963570129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00406737115729865 0.00470251091504732 3.96288402473775E-05 0.000112015164733609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00259566468626375 0.00261306440583946 1.93365327417378E-05 2.73829569689273E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00257860442895919 0.00215581283254216 2.65906110666241E-05 1.19757846313399E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0157257689810141 0.0179800967868226 0.000824275642208646 0.0014542751877618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00745314952511028 0.00714249777682525 0.000155083517634785 0.000212527253887533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00660554484642625 0.00542467990714197 9.93711331168972E-05 0.00011640165725465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00703856701125311 0.00553472458715275 0.000105468315048911 0.000119029451314091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00896890316183138 0.0136193380677964 0.000332924807403028 0.000523802104820686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00326776228232992 0.00715425012232387 4.51709576355771E-05 0.000134180268340719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00310528984189124 0.00524361087367388 4.23185135200762E-05 5.90626306758287E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00437974239633604 0.00499727088794768 8.28877706650414E-05 4.11404772954164E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0377112288432934 0.0475038083565405 0.00342301208707362 0.00723429066576945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0148198971825436 0.0185678983766144 0.000556316494836128 0.00103209337730721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00830247748583282 0.0102356207142445 0.000189500929954528 0.00029605511363284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00574896300747788 0.00674370494726914 0.000106955487530089 0.00011496862576803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0281374124626556 0.0342070664898767 0.00218351516720331 0.00386681222090968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0102171200665705 0.0113744999338692 0.000276065091187567 0.000442712455449523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00730496196621563 0.00688381494107123 0.000123699754209802 0.000172760676875838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00724890201528517 0.00617094234374174 0.000112948508993135 0.000142964156822461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0214221333686806 0.0248230379388467 0.00142010296541188 0.00159622842268787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00615809062197271 0.00988113698473754 0.000128314590896085 0.000248263644954406 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00397130119154835 0.00650071773045 6.40252526001909E-05 9.33279172458763E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00464901796300425 0.00566666556961113 9.19111558317163E-05 5.62961558854188E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0713463289169872 0.0891180497230888 0.0134798185184971 0.0232268224205775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0286727841853617 0.0357454915970497 0.00219638237497227 0.00359103340053043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0159843970159884 0.0197951566236306 0.000708356919968977 0.00106562341790204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0105627303680361 0.0128850110841761 0.000337159615636485 0.000424838672970924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.048064230675008 0.0592015083009501 0.00642565473440608 0.010502298117104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0156764184092339 0.0186404410458888 0.000659431588512201 0.00107691271246758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00924877423282985 0.00987505309170902 0.000207435301357148 0.000327386738985202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00798279213054895 0.00757145388838588 0.000141386146297044 0.000204948767352396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0394078776105569 0.0429678494714514 0.00459812132358779 0.004805691283484 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0108394847187979 0.015194633234085 0.000364702660183756 0.000592656062567308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00587991947282669 0.00919182780150892 0.000126030984159434 0.000199651780757484 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00538324267624032 0.00724639126283929 0.000118472757523246 0.000104186705287597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.141157034716948 0.174361454707425 0.0563549394199233 0.0832464429550612 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0568990653408167 0.0706738822971451 0.00893958993461903 0.0135343322737952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0316707905700863 0.0392127002198023 0.00280147222994806 0.00409331043669432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0206159873081748 0.0254334875310837 0.00123655444477051 0.00166700862906048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0916056168901301 0.112687068295182 0.0241645397842311 0.0358708501022362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0283759917951098 0.0347138457874969 0.00225267718813599 0.00351054219846298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0147169086203392 0.0171968744552713 0.00056538073325336 0.000914892839477314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0105270844797374 0.0114472046404608 0.000264739798562976 0.000435593776188697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0771461562180451 0.0822937012995475 0.0173497951869976 0.0176062916573076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.020867768476829 0.0276142737713209 0.00128671805368803 0.00198570213313957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0105024692608353 0.0158776290016521 0.000359912335886763 0.000638771806884624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00769317964915218 0.0115195708788902 0.00022082564774099 0.000305294014081581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.434738295923549 0.505758265056955 0.587930281828996 0.627671128829153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.171232525051206 0.210285452516923 0.0842339036004934 0.11468627284436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0948587333832366 0.117122227927648 0.0254769685397246 0.0357218161527358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0613669239530802 0.0759237827030086 0.0107180416273021 0.0148721299011686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.275021625938395 0.328190199652037 0.233831941473234 0.280779385673513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0824799997125676 0.101375932489267 0.0200835736292142 0.0285159541252368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0402034762921491 0.0489971878408564 0.00464880186444617 0.0068952850448669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0248771119232208 0.0302104574536648 0.0017062751118451 0.00273889290957358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.231693096362229 0.242381455719875 0.15931420504568 0.147680348177221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0619875192511039 0.0801279237017045 0.0110988089208822 0.0168257708646928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0303180431447014 0.0453134781886623 0.00274022756632359 0.00546035315306503 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0195580458824764 0.0315078505413029 0.00122973243687972 0.00257684065913862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.739796566785426 0.824190816892832 1.80113912822255 1.56034167373391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.288331754385743 0.347217968352205 0.24460354399854 0.303552164165895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.158456329033165 0.194665717101988 0.071796639004013 0.0974041123040876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10227059341308 0.126355350573956 0.0297402811454507 0.0410316958579285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.467264649390458 0.537120640368115 0.706237006607375 0.716774461378767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13773864594464 0.168560049431989 0.057309072973914 0.0774831787438705 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0666689382955573 0.0814217481083279 0.0131327151370003 0.0187181907830445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0405214284069162 0.0498052458081616 0.00472512564034538 0.00726674649172765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.389891585242237 0.399914684542884 0.464361269926474 0.385534016331802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.103633924281488 0.133069810224162 0.0312253068748525 0.0461053339171184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0504871887212013 0.0752845271703577 0.00752834332848404 0.0151342377466958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0321458461073325 0.0521730802435731 0.00321585035171737 0.00720322007911374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116266838296465 0.141506460860718 0.0383807777282141 0.0567481410015572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0463053159707575 0.0568458038767823 0.00609288912231802 0.00903425459583968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.025672494863121 0.0315071626808129 0.00191065962959362 0.00272696497979552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0167227844788353 0.020431568916787 0.000855017277133303 0.00110393038777526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0758155224146989 0.0913284156884816 0.0167324835142903 0.0242719998793722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0232652360739874 0.0280482271204196 0.00154620789845084 0.00240267123847266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0125383026075577 0.0142404096407702 0.000413907896386906 0.000659310372575941 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00952381678439814 0.00985558526657402 0.000217729982429148 0.000333989667458977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0633171362985529 0.0667494064516045 0.0120173445659673 0.0119500973509873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.016822745740836 0.0224932731049442 0.000874426611431774 0.00134581699476267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00852661443222854 0.0132632313999112 0.000249568851690308 0.000445464257336402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00663391023360215 0.00976924090744559 0.000171639319478803 0.000216476915686098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.232715229835529 0.278193557077999 0.163273475563374 0.206228121217591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0923006760578506 0.113041901140202 0.0248886923924634 0.0347158266889543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0511434069521374 0.0627296869371662 0.00764367367748798 0.0106412667483646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0331185996225321 0.0406170344553892 0.00328048700517983 0.00437722925645949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.148874792811816 0.178222028909079 0.0674698342645072 0.0881910221609048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.044431447550145 0.0543357508205952 0.0058927403983076 0.00865650851797848 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.022279039829626 0.0266139795126431 0.00141040298264562 0.00217979332579576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0146764257498981 0.0169072022438234 0.000573465603475354 0.00092082297857312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.125659100957925 0.130883399848769 0.0473802662097765 0.0455054936477351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0331007710538384 0.0431320232754994 0.00329948087681809 0.00501338287522848 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0162320891081326 0.0248082865388103 0.00083820496824026 0.00163941203522003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0109725171833725 0.0174421944236237 0.000426887130217805 0.000773232254982386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.473826465572423 0.54339906323222 0.723106379610969 0.729308441812089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.185242157767799 0.224726644835532 0.102920024746325 0.133145357365624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102273060849728 0.12514432867305 0.0308651933809212 0.0417409259154656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0660955148914713 0.0810347075821622 0.0129488355433694 0.0173919717489084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.299674708317624 0.351227936848486 0.286974717407911 0.325274505774926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.088081559219211 0.107685354952999 0.0238957582621708 0.033041034806083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.043087479738079 0.0522169651193181 0.00554493431165493 0.00809591400743095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0267083162323984 0.0322131219979849 0.00206105181833504 0.00317909418500431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.252388297949386 0.258891106809388 0.195099422616399 0.172198226693232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0660363356488512 0.0852864807456276 0.0130689622219642 0.0195935488637721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0321132845307491 0.0487091465781213 0.00316184648824701 0.00645467384585417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0206973634943215 0.033723009295195 0.00141122547930739 0.00305654821402111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.47638386504197 1.56762916313097 8.04523504817619 5.18960638999477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.571089440434105 0.653267423213949 1.04306532117499 1.03759028535242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309953085424272 0.369723612058336 0.29209702244006 0.348677034006452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.198614727019302 0.241024275325466 0.117544805172858 0.150837273706299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.941335846236059 1.01895260981383 3.18828946248109 2.43838552815615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.270307520154335 0.321465489314928 0.240693053400165 0.280855363125969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.130291631066285 0.15650977644564 0.0538999446673113 0.0705302410867896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.078874014190356 0.0957190009844435 0.0193518960141431 0.0271077610576788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.775867390569325 0.75874315061074 2.02931754000932 1.29987111205105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.201840770808977 0.253854193177595 0.12700300439972 0.167390507116395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0977787375321736 0.145478383139977 0.0299569582498732 0.0571132263024388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0619513810399357 0.100546046223035 0.0125801731297457 0.0276240159579386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.50730155637215 2.6178985814021 24.6936924696875 13.5373952608805 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.965206545196329 1.06277348380945 3.11780614525081 2.6102018609039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.523038356068264 0.603361400364909 0.852135927369862 0.895372499190445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.332671737389137 0.39566952087657 0.333512902513009 0.397181043506341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.62766215817467 1.69647912048335 10.5629748096457 6.54859463970772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.46875601857336 0.539045019573276 0.805170005914375 0.784023246673968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.224588975557907 0.264924882709772 0.176308389616753 0.203742964789074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.135126982014847 0.162315454180311 0.0619285011362036 0.0789719176341893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.31768389956612 1.28024983797003 6.34943587673567 3.41775580533538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.34749621554216 0.42141629361339 0.401958487677489 0.448089218616445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.168657773149007 0.243930183696612 0.0984642996804731 0.159254619771893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.107212215054274 0.169483620639137 0.0426820973362589 0.0789414130286408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0144492976896068 0.00981331266192037 0.000473034318090045 0.000517058608269627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00435293311809396 0.00309781282866387 4.30375419965312E-05 4.62285686659556E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00228398840322889 0.00172614333077386 1.22735625367573E-05 1.15003192020099E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00166727721926702 0.00137847141010114 7.75205310838469E-06 5.14525439902233E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.016531972784191 0.00998292180698855 0.000814635258354636 0.000489789372362134 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00615400879869741 0.00435575315973199 0.000106479894728493 8.36300879282689E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0042541417884451 0.00366518987383376 4.10475735043828E-05 5.5925842523646E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00386667192442336 0.0037924317011167 2.91418193641272E-05 6.12904109943936E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00889337681181517 0.00804125586955513 0.000320139826243901 0.000209203359623341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00300428074589679 0.00422524136919525 3.75154777700646E-05 5.09853057864636E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00214119653854445 0.00345806175853754 1.97358039064388E-05 2.45877338554476E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00264508440495419 0.00411534799997992 2.84754166689221E-05 2.82386317141459E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0478135975378925 0.0349861553227039 0.00500632080864068 0.00410419465625521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.018765936125616 0.0136544471145087 0.000810456507444832 0.000596355389075044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0103511395363518 0.00753225703328152 0.000256867912633238 0.00017275154948955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00671673920829387 0.00490769268119591 0.000116131608832144 6.75080237796664E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0337447091582139 0.0234313460212377 0.00271850294355239 0.00188756297924043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0108453972375176 0.00757185379955016 0.000280122207926012 0.000204024359745055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00601935857305898 0.00470476762114064 8.06822562592841E-05 8.47850868876586E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00465469274771832 0.00415748091094816 4.34328230228132E-05 7.20379293940466E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0276191390413415 0.0175395988309979 0.00220529515798181 0.000891992417681838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00767119620385847 0.00647698914158786 0.000179595941028756 0.000115275767994278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00395230548988541 0.00446608746118029 5.41578180187346E-05 4.46406642790915E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00327367822092437 0.00455536321557917 4.17124489127394E-05 3.73036954891284E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0900038761971615 0.067151337674356 0.0198308590205962 0.0139667658313332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0363136384683278 0.0266786051615015 0.00326727592703356 0.00216356354126497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.020172520982291 0.0147608571185916 0.00102299440582499 0.000645410796110585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0130611737276139 0.0095513417756879 0.00044346705470564 0.000258754460393486 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0595417123689415 0.043003344604952 0.00882717451217466 0.00586147304556585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0184576667065977 0.0130193047647482 0.000834147478695787 0.000556315086029754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00933217791370666 0.00697277035046486 0.000205186426668713 0.000171123075592038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00633379495979081 0.00517890647832272 8.7096609777983E-05 0.000105374592582318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0520562240555089 0.0317079325909149 0.00755988961104237 0.00288998725009318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0142418755578643 0.0105199452418616 0.000577416960817605 0.000308212325495483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0069208020499224 0.00655085078839025 0.000148539326595344 0.000105221550940082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00478074959080793 0.00559294308532976 8.07879365829292E-05 6.41438684947762E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.175822520592743 0.133911424602401 0.0815025745888808 0.0517823082182247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0719813228853306 0.0531514546654164 0.0134027117165293 0.00828412853753178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0400781017256416 0.0293995516040493 0.00414929191146956 0.00251344705082134 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0259462499357408 0.0189876202361509 0.00176129542900247 0.00102731518152615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.114360141874269 0.0840818709965509 0.03437550830181 0.0212671433430505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0349487920942071 0.0248768603615472 0.00314101094947485 0.00193720985715952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169766396821075 0.012390682120707 0.000726237051492821 0.000505806332088999 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0105782505424631 0.00806357782713005 0.00026965911952185 0.000234606306119381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.102168660757245 0.0615120368850583 0.0288204899177414 0.0107613019073243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0278684060020604 0.0196026414668386 0.00213334011594953 0.00108769384469064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0132801801375573 0.0115516910120561 0.000508397561707533 0.000355182787651547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00846226603730531 0.00857848520013178 0.000228371381917922 0.000175997220532405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.505363732205135 0.418197161504444 0.767539967458739 0.435606620609817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.213976962406185 0.161004406253338 0.124473256318193 0.0715328877034516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119911743765038 0.0883549459642078 0.0382347785432371 0.022047673792688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0777082434236441 0.0569543213975732 0.0159696140344788 0.00918597643933581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.334336517297613 0.25569039283573 0.319952190684182 0.179847528385988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102972227734997 0.0741345050296215 0.0287756506340235 0.0164045332756864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0493735194364599 0.0358394309994609 0.00654846902967803 0.00397802521938106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0296494414551283 0.0217714197956354 0.00233522026260821 0.00155019763755542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.299261881049296 0.187676016562501 0.254677783411046 0.0933003841207775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0830032785324194 0.0576166337214444 0.0186492169846855 0.00941028809197508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393464118213913 0.0330873204808992 0.00425186614429798 0.00309247491533954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0243793980587699 0.0228724966478677 0.00172956659353919 0.00143491350843546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.818192812208605 0.718397286997851 2.20632962634483 1.16723516495947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.351703798821673 0.273051616371344 0.347852565118739 0.196356687545773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.198924139881127 0.148032491816678 0.106886172178988 0.0604651286326178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129296101434004 0.0950520536424458 0.044567485341083 0.0253184408529719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.544337771048364 0.437672449940054 0.907697778096104 0.488844826734681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.171178595346731 0.124349197310901 0.0813166080717879 0.0452025407621624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0822026274187928 0.0598297077003183 0.0184908073871489 0.0108804995234847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0492019784183367 0.036087747714879 0.00658687826935497 0.00415113837707734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.483477605506924 0.326814298991939 0.698711292299586 0.261264823531479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138063985397437 0.096157766406457 0.0519542706011402 0.0258936103542679 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0655479052817743 0.0549629047112273 0.0117684218416138 0.00858452713192991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0405407838516252 0.0377582183766599 0.00472288108990661 0.00399900734801993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.141987435200894 0.106760566871611 0.0541271910474644 0.0342608630697974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0578506550783833 0.0424566258497547 0.00885867614570909 0.00542733142053496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0321855384483135 0.0234415434565395 0.00275135348740707 0.00163198245934097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.020819575298464 0.0151428983879377 0.0011726122069767 0.000663347525878742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.094298857775781 0.0662925123810329 0.0240936088088622 0.0135729519151083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.028529950814793 0.0203177305360943 0.00219263216108507 0.00133150994728337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.014104258761154 0.0102085411771548 0.000517639064647916 0.000358021325142406 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00892290598292114 0.00692717699794899 0.000193309333067543 0.000180652894554152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0829520875814175 0.0485814209634115 0.0193781611498902 0.00678110564927898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0224546224679027 0.0160290522929407 0.00141143843065641 0.000744369361711307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0108610740399915 0.00952683324312866 0.00035074942981594 0.000245866302966762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00697936312517009 0.00730788891433827 0.000161099483993189 0.000124188979379281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.278071368393929 0.216239755046684 0.222237292689748 0.131010787337176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114971931903547 0.0849574994305648 0.0361405361908162 0.0210942046156151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0641497219041665 0.0468089008279376 0.0111489841282453 0.00641554225523229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0415307039698192 0.0301983385215064 0.00469262169488755 0.00264307983172112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.184339187907732 0.132048418606476 0.0969530321575884 0.0514305151294045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0557327596537603 0.0397620979619626 0.00874933956257202 0.0049411184823597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0270726019112721 0.019280160505978 0.00202149325439924 0.00122309177427595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0164269395618449 0.0120991570743487 0.000716830874348206 0.000517567251083524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.164303344348836 0.0966945065176954 0.0764021462113222 0.0262245240465087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0445176502417465 0.0311456114057133 0.00545394810795026 0.0028310620576757 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0213636842774363 0.0180304798827847 0.0012970977392893 0.00093747063329988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0132314243542862 0.012781829532874 0.000534597880153142 0.000430396945626718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.539063584054071 0.446182244145958 0.917588210779975 0.503657527048699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.22762548350074 0.17186848532794 0.146224710362876 0.0831148829312884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.12783425874352 0.0939071589656701 0.0450183693603067 0.0253585476447118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0829082371701699 0.0604258922066019 0.0188351938956233 0.0105346372690255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.360478313822116 0.269929905651919 0.392858148201538 0.201364508520541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.11085266787907 0.0792661520772363 0.0357719852680354 0.0192032770172667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0536533465572319 0.038008121904036 0.00822933030981837 0.00461624118362937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0321707799778009 0.0232664195906622 0.00289327140997411 0.0018253934690481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.321318068317491 0.199310313751181 0.300722099373715 0.104833064774782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0887581975541892 0.0618801447432661 0.0216578657043152 0.0111255502669862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0425458289822119 0.035542940236177 0.00505273912315571 0.00373987289997635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.026113978187579 0.0245640968286695 0.00199707552894311 0.00169556544456762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.54055550123211 1.43281082325415 9.09803373016319 4.25369472313778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.651425316555805 0.542911178116214 1.32907508088391 0.73443922304661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.373551175286052 0.289699100503844 0.402698369520001 0.22581068572562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.245087414131768 0.18334758636996 0.168110071143297 0.0936317041166318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02005896492446 0.877238944891729 3.76840391072111 1.7867335471037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.329532426678309 0.245558374621452 0.339026168441414 0.175572303115004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.161904379390761 0.115056787191597 0.0789507942542308 0.0413462907776542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0969724752373026 0.0696146753551816 0.027689983708413 0.0158036310557076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.884312180384521 0.677797218633407 2.68860072615925 0.98715437956424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.26308631539177 0.188894957331618 0.197130802609245 0.0975520701029953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.127761705082765 0.106761227623771 0.0463562667471023 0.0334462367922694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0782818726793188 0.0734971836558155 0.0179270982753333 0.0155561182626082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.565900143723 2.46258895030686 26.9229893795354 11.6871665719698 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.05252289155918 0.929522573351863 3.73761077075489 1.99554061553357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.604273799045918 0.494625150113867 1.1027283915864 0.622251111847811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.399177619349644 0.310440904918606 0.455712336815071 0.258600682942494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.68635957013039 1.53843327635958 11.5632648591741 5.2218131878582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.548889067656125 0.430989236956635 1.03187173171869 0.533599813196066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.273701179020362 0.199174186791109 0.238847985958315 0.124459333941139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164949002062119 0.119270608480289 0.0838324984608622 0.0472836006897973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.43777093163805 1.21258466116868 7.92399255044416 2.83930393814394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.430016165313503 0.326742343921018 0.56078213664243 0.270648566595717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.214242730767709 0.180561393588517 0.135794000991115 0.0930630703857247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.132430698630363 0.124853716129128 0.0534839694285727 0.0450297391480957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00842063353271174 0.0104887808083167 0.000145001518789489 0.000629257827587375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00259544190161472 0.00329362767709592 1.384350580894E-05 5.53486377919016E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00138538545191546 0.00188227757701137 4.25389766744479E-06 1.41187441814536E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00102009991054466 0.00154255582567095 2.82758524099286E-06 6.23367143545961E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00979524452284007 0.0138904137090334 0.000285014792622278 0.000963766568510256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0036113115645798 0.00546827883203868 3.63333876034369E-05 0.000136273625345802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00259403479880674 0.00403722308381392 1.55604856138381E-05 6.50623475644366E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00256403408259353 0.00385396500754689 1.25743821961914E-05 5.46474215528316E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00858388321807682 0.00773235760700818 0.000224729013902596 0.000175646703106862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00458740613857315 0.00257023504584603 6.65207389250437E-05 1.56794659173533E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00330775770016664 0.00184528031530374 3.73768656580642E-05 5.42123691074915E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00307718185721189 0.00236918269738209 3.32020621143064E-05 1.24058975033545E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0376146444509374 0.0422412051342849 0.00343832445242697 0.005543826539765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0149319618950595 0.0167764395197673 0.000552506104191602 0.000825797657181555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00823707816159501 0.0093062713722194 0.000172418449471724 0.000242630939911824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00532826749578551 0.00608889692168753 7.57392133797394E-05 9.54371391329912E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0254411250969681 0.0303579654851439 0.00172884272795631 0.00306097827421046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00782319236950299 0.00969943224975544 0.000164081698125737 0.000326660118302955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00425287235115051 0.00552806392633373 4.44145169659404E-05 0.000109226541237884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00327873491494951 0.00445886624064399 2.28210271543695E-05 7.05504098766191E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0187471175225814 0.0241609744618189 0.000981703359142803 0.00146548357046121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00729257493017376 0.00662920665972077 0.000158639675508695 0.00010355613643083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00466702437555899 0.00346075333436319 7.03236465852827E-05 2.37213341816969E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00386625620722712 0.00296800786141686 4.9942348694395E-05 1.95340923687989E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0732413919886818 0.0812955802777261 0.014106807171104 0.0189515716892127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0294452518265111 0.0328518465720689 0.00225543018563211 0.0030046867339752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0162899645438137 0.0182597617845591 0.000694933199856354 0.00090511029539178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0105272389780884 0.0118561747619876 0.000296533607594626 0.000364929177277582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0473135969260927 0.054282003962358 0.00617215787526785 0.00887318915378283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0142072066996638 0.0166084075596881 0.000558453626381494 0.000863827911118585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00714858279873943 0.00849952394756824 0.000134069271653121 0.000236382520119552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00476990711135887 0.00589289887295236 5.41882877117565E-05 0.000117117314767928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0340057558450424 0.0458842361398128 0.00324574472567028 0.00537049993263906 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0120497448957049 0.0123742425275884 0.000422943617716543 0.000378311994647075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00728526443592696 0.00610255476745903 0.000165293614614632 8.32007096171205E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00549911551080014 0.00432382269223392 9.72126445528209E-05 4.22328016602657E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.145697827821285 0.160673978948296 0.0589412575317564 0.0697721940381594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0587177837751713 0.0653027790130144 0.00923459558283747 0.0115059413508236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0325142742254009 0.036329652948073 0.00281700563349731 0.00351904104448965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0210106936485225 0.0235403627962267 0.00118447244697981 0.00144433492447065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.092724732838357 0.104929125890549 0.0244674863267928 0.0312387692241177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0276892152207461 0.0316300920060702 0.00217273431655898 0.00295156958800392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0135225867551181 0.0154399951808394 0.000504061481037295 0.000729170675086049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00839208694172189 0.00970996790645441 0.000185185781043925 0.00029832015389302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0661525467411447 0.0903809624685585 0.0124452333420045 0.0209398507315771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0225345135848154 0.0242816742591815 0.00146533235038564 0.00149768121227722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0133345067451942 0.011740780954928 0.000537779552565329 0.000331729699763912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00947538138500416 0.00758869131727612 0.000279994444997599 0.000137506972595328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.439836122442553 0.474594643219012 0.599258475546108 0.539328496760041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.176196595710638 0.195307009519497 0.0867211254015496 0.0984041491421008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0975528557479347 0.108777371447439 0.0259409463867773 0.0308329824893053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0630242976247549 0.0704336438994784 0.0107507481605219 0.0128888228243285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.277987069496534 0.310368663447562 0.23588287959481 0.250269415729351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0826105144449992 0.0936287641405754 0.0199493821503485 0.0246110705206316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0399603332996274 0.0449551326397515 0.00458430048719572 0.00585586246884766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0240659973692366 0.0271103751542456 0.00164980859021177 0.00217647415754339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.197865185722931 0.268453882000081 0.117342449187245 0.178542799892897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0659864019282406 0.0725238872979749 0.0126043783840218 0.0134586405351904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0388354497977806 0.0348161777050675 0.00447366936614751 0.00304308109332943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0268979710517834 0.0216687212445111 0.00219560102918505 0.00118976593950992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.73910757974281 0.783393131808233 1.82149112260311 1.35651158862467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294140311624052 0.324546872151944 0.249147770730763 0.262756435922679 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.162595722046377 0.181101308869263 0.0731770023591522 0.0841142157799322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.105018437461657 0.117275064624106 0.0300909398933228 0.0354775493814137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.465911664187688 0.513734026347362 0.703938013018796 0.647376913619875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.137972100264346 0.156015743621693 0.0569353824316726 0.0670271757840564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0666637727756206 0.07486764139285 0.0129629587446464 0.016031809119662 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0400248467230322 0.0449894504979072 0.0046602551699793 0.00591052880820548 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.333349959263717 0.442398259660099 0.350792835788958 0.461994453411827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.109661737222869 0.120970975057711 0.0351710669900403 0.0370541804184565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0645771832121005 0.0580632128006785 0.0123883468542365 0.00845327261665298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0446694960582746 0.0359712516572493 0.006041306283119 0.00329159798121395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116775140723011 0.131193351081095 0.0381376931963117 0.0481478443556231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0469161518013893 0.0529556783834936 0.00603681540212596 0.00781852704926058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0260073334861144 0.0293282590363031 0.00185122550375727 0.00237049578731702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0168118409315227 0.0189818804664183 0.000781501276439283 0.000967621518992911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0748057461096405 0.0844599869032987 0.0162730032229733 0.0207111652689706 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.022573933764841 0.0256249356166392 0.00145962132460377 0.0019740603090118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0110485691386529 0.012651182443404 0.000339320453547898 0.000497201085089612 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0069254441039623 0.00814209210976991 0.000125181088899355 0.00021055108149853 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0534095401956115 0.072992753478645 0.00836080987230748 0.0138528323153496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0184871318283 0.0195507833026095 0.000992784610928596 0.000989356580256935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0109450645700722 0.00935100045913558 0.000368305902324258 0.000213958350820703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00792076654892353 0.00616491432349742 0.0001972477814671 8.87896691353315E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.23286826790542 0.260690219354324 0.160513327045046 0.179060442519922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0936682617707341 0.105615766189894 0.0246671665056839 0.0303027828654436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0519196871537582 0.0585248083930022 0.00748774976117934 0.00931061642359455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0335544776851812 0.0378554308144436 0.00312893280030614 0.00385283762051857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.148523245391484 0.166211271692484 0.0663329827486411 0.076186544942538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0446378839956803 0.0501109400771611 0.00583422494503616 0.00726485385315674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0215807977451444 0.02426034950454 0.00134245904095655 0.00174702635254455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0130524318443287 0.0148396955792026 0.000479338794576218 0.000666192947087428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.105821696775556 0.14501367065642 0.0335493804712239 0.0543450073704955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0360289367569942 0.0388210274700062 0.00376172305318902 0.00396289072886368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0210899124298344 0.0184609352608049 0.0013423290058592 0.000873743178826115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0148121137026022 0.0116411539562922 0.000673416282426172 0.000337305974582717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.466884966059931 0.516612575086036 0.698179197941905 0.645845992902082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.187349173841604 0.210817580601816 0.101558531028936 0.1170614430001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.103797203933754 0.116909698175558 0.0303921904886044 0.036582742356829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0670633051851836 0.0756243535106235 0.0125902172937039 0.0153074140793038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.2974495848163 0.330690630827421 0.279526581438792 0.284501220286114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0890284945068297 0.0998662264289809 0.023689844504265 0.0280420957418195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0429152271180162 0.0480579910460954 0.00543389532736723 0.00667642011784785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0257057230087075 0.0289843424095124 0.00193517620286919 0.00246542627340525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.212369320162127 0.288083404188852 0.140802862694177 0.207826218072679 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0715227158286021 0.0775841118824146 0.014917938651937 0.0158200367916823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0417727876630701 0.0368822124283726 0.00523592998309887 0.00354101733057246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0290903805656059 0.0229727496361559 0.00256850321378279 0.00135490141838741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44110605720895 1.51678418167411 7.78123615283998 4.67637499484832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.564788880139434 0.624978888970576 1.00766723023365 0.936523403009714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.311320412038325 0.348756413046144 0.285935167204274 0.309653884913197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.200931780638821 0.225797110974592 0.115807582380198 0.132829078819645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.911710439718334 0.977959055330424 3.04219425640776 2.16609315001528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.269640204693835 0.301575710491986 0.231989597802637 0.242560697583091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129905993607353 0.145382945719316 0.0519245757672412 0.0593223923083293 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0774853152161084 0.0873849320966746 0.0184217018617256 0.0219417255376774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.670444375033193 0.82685094932608 1.62272590898402 1.4713406718046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.213752873521809 0.233998027957946 0.139187700557513 0.13817003827635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.125421346330092 0.111588982167626 0.0481984484889864 0.0317299574811501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0872179050406337 0.0693189780244081 0.0235233596599265 0.0121995347962437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.45986970503051 2.53402533645175 23.8987296275118 12.1149648237844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.948104619872922 1.02535158936708 3.01360173619961 2.36263545785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.519429184882578 0.574896215464729 0.82624066005404 0.803995627492915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.334051836168918 0.373295877486214 0.327054876471053 0.352657073772894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.5700829619092 1.64059882277899 9.87509667884727 5.88176275149116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.460517441121102 0.510997352874372 0.738258497789597 0.683543489891893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.221934788357268 0.247511247924459 0.161782686301638 0.171688622939159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.132203663676356 0.148836615408619 0.0564839065098949 0.06401186579748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.18599441397187 1.35989160884954 5.48783953747583 3.60313780499154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.35768065400041 0.392966761395818 0.413554418525732 0.370763882737347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.210461732505755 0.189398722442828 0.14181938841855 0.0886470652622794 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.147025526873521 0.118366870529959 0.0695417552052725 0.034788133665944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0113367380806914 0.0126671571322225 0.000287388147045168 0.000870604736644137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00360926758071887 0.00390077989639284 2.8830914017478E-05 7.57058122722015E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00210158887378147 0.00211309165470439 1.08626369561294E-05 1.83249777757383E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00184777114365265 0.00171137863489454 1.16858379788259E-05 8.24474722630008E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0142784481084772 0.0155223363089675 0.000637523304915471 0.00105749895819154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00611107756889465 0.00594168440057043 0.000102454938705676 0.000142273116432332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00494174591710894 0.00438279288831595 5.38367820786489E-05 7.32873879916849E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00510387327419981 0.00437128117188832 5.45156595239758E-05 7.01386787413099E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00845339791476564 0.00970267711068973 0.00028757695707715 0.000253457142363748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0033191815313345 0.00389080464793668 4.38828745135616E-05 3.54201032125733E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00264834169216598 0.00283600309326418 2.86842978021261E-05 1.46297919467821E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00317845003325747 0.00295378158101999 4.14639205177347E-05 1.35353827565105E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0388409397931836 0.0429830221325537 0.00347782290536455 0.00583630158131665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0152224094480036 0.016895596165612 0.000556897905202948 0.000848066075026963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00842528169906155 0.00933328524574088 0.000180390656243855 0.000246610348419656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00558681813135829 0.00613936452626986 8.90896282060774E-05 9.74348528637937E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0280906657532933 0.0307785847988038 0.0020523915610026 0.00304240590308227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00943353019339989 0.00984409252617769 0.000230991166685541 0.000320288750458332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00599553965082074 0.00573772889323416 8.24475103580055E-05 0.000115259126528966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00548563862020699 0.00492639786264941 6.47126986346467E-05 8.62529706406829E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0203276887637088 0.0230110140703636 0.00125741145753219 0.00131496585395316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00615019258012338 0.00694874761505153 0.000121939812480323 0.000112661475808427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00365511601052364 0.00403921454053085 4.91585473815892E-05 3.295508227166E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00357068287227163 0.00349776402752309 5.04401482012122E-05 2.08043691350066E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0737053264545827 0.0815333882255627 0.0137745047585132 0.0192994273001893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0295124015719463 0.0328459118299824 0.00222258788414518 0.00301790407549448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0163669160877242 0.0182362890011339 0.00069986326471177 0.000904374404143345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0106495899141369 0.0118924961511179 0.000314103775427883 0.000365980764028811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0489474843225544 0.0539503030461196 0.00633922690724598 0.00855570048638654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0153587008586897 0.016526750236283 0.000619863379261336 0.000825393058017687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00833003480749637 0.00856709537633933 0.000168805599173005 0.00023664936016933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0064881546683644 0.00626037501318398 9.53166974423553E-05 0.000133166669764172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0375580126622916 0.0422500795303491 0.00409798112710744 0.00453712615096262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0107866281772652 0.0120942659228405 0.000345039347329469 0.000354163261507889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00571193364378776 0.00640352869367717 0.000108642213832288 9.17115446788601E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00451423802569886 0.00476512271072289 7.62621443762148E-05 4.43866630122744E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.145388592695265 0.160535227631193 0.0570287204498657 0.0704757622706904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0585002728793582 0.0652192171966765 0.00904435061086702 0.0114852339707927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0324817207795306 0.036247054776015 0.00280131464008156 0.0034958138857217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0210291612760303 0.0235713162449856 0.00120563808745886 0.00144068093750842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0933547703665388 0.103487298513485 0.0239659748999301 0.0298043978461353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.028529479115518 0.0311628178933855 0.00221151602057128 0.00278210246659062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0142273550158677 0.0153368295736971 0.000526436548575775 0.000705286616460704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00948456444020975 0.00996789650175717 0.000221575430395667 0.000315638410287473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0736224417611714 0.0824487831801299 0.0154697478460129 0.0174654655760678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0206822656369795 0.0231828097793993 0.00121520151577186 0.00133963121568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0105177567886143 0.0118231190788719 0.000337201699386708 0.000337408122230657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00715421982565245 0.00804487481284943 0.000174834927850027 0.000144985176629279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.43767145292057 0.47395148648029 0.564945565161642 0.5547077837015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175252408788165 0.194854680615699 0.08423398498475 0.0985309489708319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0972234745273669 0.108470249688567 0.0255291319812723 0.030653854893431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.062843572951683 0.0704706279857411 0.0106849003642888 0.0128609318124859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.276773852911781 0.305195223616321 0.223990816668215 0.241196117059904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0833990621968698 0.0917785313452589 0.0197004401241218 0.0231007464250177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0402710204258045 0.0443030925330096 0.0045008393094805 0.00554419716466934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.024500056317957 0.0272710615654844 0.00164137832019343 0.00219048729105654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.22076124524794 0.244645448783888 0.141316663228368 0.150579450050005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0612958846055841 0.0686224658625654 0.0104921263457858 0.0118646592287523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.030741748126563 0.0346168767229569 0.00271204470619839 0.00302354779303027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0195590915165221 0.0226641547613249 0.0011689110450479 0.00127613479130825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.733859954668638 0.780983043069334 1.69064085340156 1.39664140647873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.292774298113021 0.323634902670996 0.239882901221657 0.265056982673307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.16210152280747 0.180506722526809 0.0716253718592895 0.0839076557718825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.104692869365946 0.11732174439837 0.0296958826676305 0.0355117385605925 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.463665424224464 0.504877604192936 0.656419767790336 0.629109011537509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.138851730709966 0.152940359559595 0.0555257994744137 0.0632141019996849 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0668333279982658 0.0737648087397605 0.012626955864267 0.0151567846565529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0402773655491635 0.0451900615153015 0.00455668842772366 0.00591314248745118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.370239454696745 0.405003069363125 0.408796100718026 0.397641668619275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.102254964230925 0.114270783160902 0.0294816393877928 0.0325756444148755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0512190215778796 0.0576789548627154 0.00752535939135311 0.00837205113316996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0324325233375003 0.037667374677503 0.00315810316914204 0.0035612289936349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.119993986000814 0.131306159341132 0.0394689698878481 0.0497346336685381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0479789832058775 0.0528843590068549 0.00625831516182468 0.00793987201993721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.026534393278491 0.0293137027371567 0.00193262044759925 0.00240336660235959 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0171725223954001 0.0190072029635522 0.000837082175914628 0.000981800635294097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0769863115556453 0.0857974149681738 0.016293039899084 0.0216374752152764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0233645738936323 0.0258797740421149 0.0015058810803033 0.00204440924518763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0118399593293335 0.0129308123956684 0.000364340102207683 0.000534669380394344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00826771225975492 0.00853790798300191 0.00016623603686931 0.000243547656550734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0606413123224307 0.0670956009154301 0.0108031386886465 0.0118055212981927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0169376067741867 0.0190149062937133 0.000861242958085821 0.000928196858887111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00870626255581964 0.00992446826750707 0.000247077576664305 0.000239820202948447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00613888342653847 0.00685371649374765 0.000136616966850045 0.000106036963345319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.240147271943404 0.259644712349097 0.166523720891616 0.184123684946814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0957959567882554 0.1053109621221 0.0255923901835071 0.0306918959829754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0529500415061363 0.0584428254275515 0.00779287551506682 0.0094108795284701 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0341769376545621 0.0378822873548537 0.00329098452559531 0.00390261191277379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.151751497116828 0.168196070388194 0.0658687355146376 0.0797313689605486 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0454291291037315 0.0503793617721897 0.00589214895538263 0.00750906713653819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0220432581659179 0.024620059291006 0.00134707965014203 0.00184990944834755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0139429491478806 0.0152767381049792 0.000517057281277206 0.00074317518672468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.120102353476517 0.132658508008794 0.0423268655699124 0.0461318503080263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0333441325864548 0.0373538186519438 0.00326952831121814 0.00363967960637212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0167658096434272 0.0191562881483945 0.000870046858245777 0.000939189541426266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0109935420933611 0.0126782285921482 0.000407962164721914 0.00039831465638487 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.484757420053607 0.511695656636842 0.721162286817913 0.665484098709992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.191954316641578 0.209782022243937 0.105186575670143 0.11872338350011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.105910008837286 0.116652605637565 0.0315178461974896 0.0370266058174641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0682852395972242 0.0756489515244162 0.0131169721835521 0.015528777176822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.30424369683041 0.332547471302248 0.277201351536179 0.29716040049607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0904032856000751 0.100025064413448 0.023981987154554 0.0289878551567203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.043356154591718 0.0486057618977685 0.00541446213765638 0.00701648316494067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0264187592655631 0.0296744732712497 0.00197694361158861 0.00270769446610037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.240179896486059 0.263622843872125 0.1725249870495 0.178127016240277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0665397337650869 0.0743487122943189 0.0130342546770554 0.0143977710533482 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0332530173271973 0.0379334768134335 0.0033667376209232 0.00374192612933579 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021367507056404 0.0247693012385822 0.00148397470793506 0.00158263537703257 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.48303737918272 1.50169580135073 7.82826240229353 4.82264648619818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.583358888572336 0.617595398369717 1.03047381190702 0.953328354295928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.319113303755439 0.346405822350854 0.293590377328749 0.31473616316752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.20497383317768 0.225411923518915 0.118990220432603 0.135736901028619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.935786209576709 0.979095658834385 3.00111296869355 2.27374684953516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.275550168211697 0.30038823969376 0.237902055671231 0.252462785979783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.131409222296621 0.146529825256968 0.0525229196542275 0.0626447076585333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0790950148019205 0.0890534226115742 0.0188954788341508 0.0238992388332849 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.733281485425424 0.777039710321817 1.78391351181929 1.36923140224339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.202692704788101 0.223072180489824 0.128006264929892 0.124030151049248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.101349921692781 0.113846177880901 0.0332718065311672 0.032741925853608 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0650253600697547 0.0740791088935988 0.0145305278712439 0.0139443507010088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.51633344682977 2.51462503822059 24.0596191890561 12.4128477247133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.978201666078106 1.01352442787475 3.03416749406779 2.42026343827123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.533569391051919 0.568840115948675 0.837806842086687 0.818324521501015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.341470437622569 0.371325575700694 0.332335476845267 0.360750218883685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.60320358841651 1.64517374153984 9.86018664506559 6.24425770661691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.473209028902024 0.507274347948768 0.768630219346794 0.732420813783693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.225101264044686 0.249281669050328 0.165129267032951 0.187898902838328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.135260245613693 0.151559922698487 0.0590758987701639 0.0713187392560179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.25798183418033 1.29930580434225 5.78750226016579 3.49411762365486 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.347726756757559 0.374842349983326 0.408023395810904 0.337118558330941 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.175129419864261 0.192555361250853 0.113006792786603 0.0920389336485525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.113246509612236 0.125869343551361 0.0515813011754505 0.0402094096076381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0152999862631754 0.0144556797359674 0.000509115546938316 0.00116323343111134 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00485050719626063 0.00496799227349444 5.09747339800112E-05 0.000111640431224783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00280971412697477 0.00331948579010974 2.01387576889737E-05 3.33530678014499E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00252113386276049 0.00343391627015761 2.23356348367372E-05 2.16599910699069E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0191490235345209 0.0177217400360256 0.0010503011241818 0.00144377622517378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00811946352063283 0.00902474994335842 0.000165778069024871 0.000317726761340709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00658127074332729 0.00814203726194046 8.64832593370857E-05 0.000255403952574448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00692644655485738 0.00886080571801835 8.19464964302517E-05 0.000310961009214163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0108265876097214 0.0131781124219565 0.00046474269516295 0.000530141739645084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00386290436027232 0.00710357785684598 6.20398718757671E-05 0.000120693462020843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00354379628589062 0.00697978526772551 5.45609602573057E-05 6.92575736821263E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0050758300719591 0.00909956862168727 0.000107649963791726 8.67651808323504E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0448789436628999 0.0424029668318612 0.00447665325163319 0.00602796122478253 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0174536827791906 0.0165775778930747 0.000717099338811812 0.000847373152312682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00966118325856058 0.00934603322590666 0.000238197194711676 0.000241709596295155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00643798685689654 0.00666632259900908 0.000123288861331526 9.74424172567894E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0333553491132993 0.0317086004527244 0.00274049879731078 0.00343906856373684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0114781784866938 0.0119146384205987 0.000312597406830158 0.000504580150229838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00770722755211381 0.00898971075666959 0.000118905889920232 0.000304394403372305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00734328054311732 0.00918563122878295 9.2039010805746E-05 0.000331115135957659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0254945617739312 0.022663636737684 0.00197477719699207 0.00141830957913787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00718162146552576 0.00927887104152248 0.000172260106025422 0.000208833154295604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00448311308107012 0.00772979126438618 8.14203176700406E-05 9.38702541223247E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00529155728669984 0.00935805963001427 0.000117512589196862 9.68512731492443E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0837329464092002 0.0793563622207595 0.0173402002657925 0.0191691951599294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0335415595142464 0.0317191384871169 0.0028289297278628 0.00292164352211459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0186379289175584 0.0177082234479283 0.000905112822550446 0.000857787103097314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0121466465321559 0.0118251397420931 0.000415934354000303 0.000336609051937274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0564486955449805 0.053628594621106 0.00804366053001688 0.0089135442121481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0178629955937895 0.0176351584560808 0.000780670247369426 0.00102474683080197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0101981657130531 0.0110019465256176 0.00022285604623988 0.000437307104097681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00841527234246544 0.00997745434962895 0.000127191894986028 0.000384084505303227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0468783902548572 0.0384397173731874 0.00632111239648408 0.0040715737114053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0125976982259766 0.0136883164887099 0.000480652015353685 0.000473430350512225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00671470143739215 0.00956722571778425 0.000161587837110277 0.000169639032763988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00604394272826717 0.0101626898773337 0.000149503095811635 0.00012965346342969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.163722231231147 0.15580333972687 0.0712476384948199 0.0691499953279552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0663146434291364 0.0626584252176717 0.0115020193106686 0.011008895341329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0369054552849934 0.0348455475555006 0.00359926239197218 0.0033046458285321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0239170075093601 0.0227835636757755 0.00156676160604873 0.00132303270237204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.106629292597531 0.101273354952898 0.0301065012658867 0.0299482342406517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0324488879032137 0.0312403620353073 0.00273147934461542 0.00302400185552816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0166860664225733 0.0167080098653376 0.000663759754625707 0.00094246533290366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0116462398472729 0.0126213584791788 0.000278234030895198 0.000587041555813219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0914846043851924 0.0730883950728797 0.0235564833736049 0.0146838212177788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0242442630367967 0.0241495242702736 0.00167540491746582 0.00154841219064913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0121037695444827 0.0147519200451467 0.000463524442155071 0.000490155476184809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00866522691025104 0.0128610245425052 0.000278344984734443 0.000268802944258241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.482980022197111 0.466849413074358 0.684588084734453 0.555527274784229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.197688490347215 0.1874055149294 0.106586574957783 0.0943986963885496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.110236291820802 0.10397711315722 0.0326575869031197 0.0290943723440261 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0713631040144115 0.0674522018142229 0.0137253922444959 0.0120228672981557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.312450124865719 0.298864728010021 0.278323576787005 0.241638227496036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0942722422989636 0.0896810113539464 0.0245084707612111 0.0235409649724475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0460783442903986 0.0441196547986627 0.00568086571346158 0.00601857063032676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0285082109354719 0.028079160951401 0.00205473655007671 0.00261495930800067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.270911578153155 0.217150611077351 0.208937072722459 0.12530979627315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0718816010228971 0.0691573201157755 0.0142516975074824 0.0131271123231767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350865930670118 0.0394868475514719 0.00351528390414968 0.0041395786608459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0222617309611593 0.0283359626895288 0.00154570736851718 0.00190925661251273 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.797431437882241 0.780748175823613 1.99454567295216 1.43352590419029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.328128374047608 0.312910487578879 0.300510623172169 0.255738583204831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.183296080359691 0.173317490127473 0.0911955658687177 0.0799457589891587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.118763830068326 0.112279518334893 0.038007460125769 0.0334072102575708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.517063784413793 0.49940343701822 0.799810109365441 0.639339572853203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.156732174430633 0.149075862924861 0.069310687868476 0.0637890170172957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0763242793070954 0.0726967287639591 0.0160394301316411 0.0159531388621072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0465890781705539 0.0452143421612403 0.00578239750100162 0.00655338955444403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.44665701133974 0.366044965339659 0.584222229504958 0.339690516615391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119792191576715 0.114794108768252 0.0396909521492545 0.0360818609189857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0583928999052902 0.0651924019129135 0.00960077836705174 0.0115542417657371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0366179529492303 0.0456016298614611 0.00401989204649064 0.005340735145528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.130633222790836 0.125442499535274 0.0456237655817628 0.0477303522303306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0526047434491611 0.0502239894656475 0.00738278913532486 0.0075279025005239 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0293019328885897 0.0278374510594342 0.00232977342442223 0.00223364881431366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0190442890120883 0.018245521232924 0.00102890070712054 0.000885547729081854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0865125956295922 0.0810989368463478 0.0203702206122956 0.0203763964660884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0268420581032167 0.0254910035542007 0.00190828946686993 0.00211080283392179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0142676112962177 0.0139847180311494 0.000484892936338001 0.000690474981997904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0104242709996665 0.0113061558406096 0.000220272549273026 0.000481503203956637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0735502042323642 0.0595663422693881 0.0154691882886466 0.0101176386599314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0196094658159563 0.0198952764568464 0.00113360625125719 0.0010691541876372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00998107348232931 0.0127027206730297 0.000330854026702237 0.000348447736371479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00755926776493626 0.0117234210597263 0.000218513939660871 0.000205531840691619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.258330671235413 0.248976386839026 0.189502146922731 0.177523562776355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.104612297146337 0.0999829497624317 0.0300962968594835 0.0290707240768925 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0582789560975002 0.0553612684545625 0.00933861224647219 0.0087907538947118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.03771953658327 0.0359607210307587 0.0039850983758849 0.00356832610555182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.167961745311261 0.158776134071764 0.0805514459649874 0.0746824599357735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0511756178806706 0.0483777800839233 0.00728260977659603 0.00731848356382234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.025629537792138 0.0242071471815739 0.00172650616667019 0.00195806204598684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0165857537347066 0.0165344325986468 0.000654010868615955 0.000983777758350499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.145459040288229 0.116605359759122 0.0602811937164422 0.0385194183667551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0386399047855005 0.0376592097475321 0.00425865038700751 0.00398048992934418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0190200423255645 0.0222328397254801 0.001105341527055 0.00124998865790768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0125281916352108 0.0171410832461435 0.000536471770744493 0.000589320819964473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.511778661042677 0.498290734878345 0.798275390961282 0.654501254804092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.208479323217072 0.200022239943875 0.122797905684075 0.113040777749855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.116270643255701 0.110621459185826 0.0376092927357741 0.0347743856840322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0751842883001353 0.0716423758617513 0.0157642416209087 0.0143708395715542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.331810053051384 0.317143069330012 0.330252705797346 0.282694758892474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.100757747130751 0.095623936090699 0.029160912781595 0.0277916414029372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0495429099652771 0.0464598112093987 0.00683682603209121 0.00690793865453182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0305514534147112 0.0293221879477522 0.00247288750661354 0.00293775817974131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.288775149332033 0.233092654465986 0.241706717588906 0.149330090510059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0771010582964925 0.0742860948038645 0.0167834923350003 0.0156454633443165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0375849548960371 0.0426144930568333 0.00413798212580928 0.00497101022938468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0235791469671938 0.0301342314898628 0.00174308291924027 0.00221915848183734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.51878515027351 1.50221785328877 8.2914181532331 4.93619926680907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.616760516694727 0.603433318029366 1.15796840987483 0.936535291274547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.345724857833182 0.332316197296662 0.343460350309948 0.300859480954356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.224029912510647 0.214458897635431 0.14118229904458 0.127609126119576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.981910013501163 0.967264353796334 3.31878129165626 2.27762492128107 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.301120905692811 0.289991474354905 0.274428866654245 0.243399538543209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147830803991284 0.13913340510585 0.0640528056565247 0.0594973227921062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0898104055234499 0.0853703460398152 0.0232300310011683 0.023666815822913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.840035047784373 0.724037273122027 2.284743776389 1.238680384667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.232343877647167 0.222876678319855 0.156692936156775 0.136567023992462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.113464565543847 0.12677305022399 0.0377771973027276 0.0450422036892786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0701337961399814 0.0868787614676592 0.0148783241099322 0.0204699823782328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.54603445734231 2.52692416332591 25.0872006378465 12.8577979959146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.0175612271159 1.00560481709365 3.33702620275755 2.4271886396577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.56951273767858 0.553586994999738 0.959584774415444 0.797994344212758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.369893228699084 0.356155695487597 0.389304186118631 0.343436455828004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.65265965555295 1.64032532819075 10.4098519241845 6.11137922293683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.508033354141554 0.495868451660412 0.833782616812448 0.689949784331758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.250888190809809 0.237230951734107 0.191705464449276 0.170637611164383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.152635174665747 0.144965086286515 0.069378876978409 0.0681035566588892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.39390450417981 1.25378794822308 6.93328821428055 3.37091752033766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.38962910368965 0.376595929241598 0.461892071402164 0.375643003328559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.192429233290618 0.214183058148252 0.113180213262588 0.129207144320927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.119511253785007 0.147004592712753 0.0450331666592589 0.060405459991098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0110610060395957 0.0058972695818841 0.000289528810835433 0.000166583591147697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00352401922574317 0.00172987422304716 2.9743811553722E-05 1.41315593429152E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0021607295813603 0.000824892006433996 1.31421901403462E-05 2.99779088323598E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00214243807038284 0.000534172358494511 1.7738725606433E-05 9.92090785754573E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0140567243021257 0.00546219307914106 0.000573950214400484 0.000112963819966244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00620374006657156 0.00187383068666337 0.000100973377703358 1.33690836476345E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00518048183590079 0.00122916693780276 6.37481743705316E-05 6.0391487302139E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00523428365497031 0.00127824520165315 6.57692757898418E-05 6.68592038251725E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00785265548692447 0.00450797181772207 0.000241332093612247 5.82097427576779E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00293740687982036 0.0022520247500436 3.42688048046014E-05 1.35380929574729E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00243946258317223 0.00156444629897779 2.52131666648758E-05 6.17986322554323E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00316921863247313 0.00125315730980248 4.17721978414193E-05 3.93752972756013E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0494801962613722 0.0300509656938179 0.0057563615982349 0.0025855317689033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0197769399740339 0.0119192638739907 0.000944400187676624 0.00039449156165972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0110014380569067 0.00655950588716862 0.000309906059452551 0.000116656692140526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00730833357393431 0.00422376156097432 0.000154691006292728 4.66051831321054E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.03475066166559 0.0193453887889953 0.00288605594872524 0.00103319437268635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.011313120570824 0.00584750280198197 0.000310245902322506 9.90728584597575E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00677214123542025 0.00290479994424624 0.000110992132112704 2.68376338698426E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00581197975199723 0.0020453315981686 8.29195757907992E-05 1.47879934037225E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0277464169258636 0.014532988016021 0.00215751549964962 0.000544443492397021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0077206506387087 0.00483172457358979 0.000175278725107037 6.00640252971001E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00423810495992386 0.00287976448430859 6.20197262545434E-05 2.11218349411272E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00378281902900229 0.0020553001284875 5.64289954050366E-05 1.06294141288346E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0954590105238887 0.0590352633961407 0.0235576937604553 0.00927857120695399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.038731655661975 0.0235999121996124 0.00381315002815443 0.00147380959335746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0215656401739788 0.0130266574791238 0.00120507356733083 0.000444409216201805 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.014050454091237 0.0083962890948773 0.000543963432909999 0.000181214354807574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0633579447505386 0.0373046511349728 0.0102075287550208 0.00368521750603101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0195835074855745 0.0111723915065713 0.000965401056230713 0.000346436198120186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0102085627594194 0.00538754729674468 0.000259141659849976 8.55578898125434E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00735093047875215 0.00340716266212676 0.000135580294907388 3.73037394762879E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0531754152904562 0.0278307547924042 0.00775688492145075 0.00196210092788875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0144231461824754 0.00883792261446387 0.000575532828914711 0.000199889700455631 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00733945023460632 0.00505331627160675 0.000165077811479754 6.61638685202573E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00533288470167462 0.00345061952721775 0.000101466437774542 3.06981662569823E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.187801124569889 0.118548158910247 0.098487119781688 0.0351838218081808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0768543939530651 0.0472111827533804 0.0156217131257428 0.00568623218825174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0428368181736418 0.0260387651208926 0.00482091703444584 0.00173116390466784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.027788075410524 0.0167777628093085 0.00207807692674716 0.000714095516065151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122670783764325 0.0743864676919402 0.0408507287914592 0.0141847618396424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0373794389593256 0.022102678824504 0.0036773237441419 0.00131860954695981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0183155642656341 0.0105553443449635 0.000870456535806911 0.000313090188919282 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0116497638259509 0.00642190709378112 0.000351302852319233 0.000122993209353036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.104873406031541 0.0553592632230557 0.0303559912359915 0.00754082324476127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0283000768996245 0.0172743163521038 0.00215418255780458 0.000756215107113451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0140375620798812 0.00972292033397158 0.000559152239015924 0.000246519380925001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00926250744704047 0.00652529707160984 0.000272464966684422 0.000111263999217166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.539396597903321 0.376166989119621 0.928596863469464 0.314896007800623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.227485646015178 0.143826965822021 0.146914315315775 0.0498773044682973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.127650763941512 0.0786237019263462 0.0443926464615228 0.0151609379969628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0828770122368426 0.0504959033634048 0.018498889410924 0.00629902956244866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.356727016316675 0.230340472245915 0.385054223944565 0.128728115638691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110093833547774 0.0667809301040283 0.0338656011234317 0.0116652594014894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0529906979729481 0.0316120901459354 0.00766022115707125 0.00268735854304188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0317285417694632 0.0189290668969064 0.0027359826722641 0.00100078064753693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.306961570056834 0.171712466691671 0.277611011199779 0.0676019836712328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0842253086885775 0.0516757336959636 0.0191645742505533 0.00654867822773537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0415555567812765 0.0288507028512489 0.00469625703717748 0.0021431623836924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.02653140640899 0.0192552335988869 0.00201214451739328 0.000964675622093279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.866428713585943 0.661507785518278 2.59873542430404 0.904180473530806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.373794951413641 0.244357491810151 0.414316517467453 0.139275580754448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.211300423537738 0.132213006999437 0.125062568203192 0.0419338827027101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.137545593940791 0.0845660793636127 0.0517058344905497 0.0173785071176644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.578426849990778 0.399435906525135 1.08250425074377 0.370765240883786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.182342866383434 0.112728197895407 0.0960735713100343 0.0328733781170871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0879892346440292 0.0530249476066795 0.0216141814972853 0.00747138090811426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0524711366747302 0.0316298236953611 0.0076156154208887 0.00275188444739447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.497788392641586 0.299221934374622 0.774009968250692 0.193892530062759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.139850123656336 0.086621200233857 0.0540542435431602 0.0178841978769105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0692214908648939 0.0480826277749034 0.0131259373446405 0.00585031527158163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0441314277748821 0.032080312074545 0.00551676427539035 0.00264633258235524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150363667080116 0.0948441324625658 0.0622074417617076 0.0232796189337383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0612362829112193 0.0375224418120938 0.00997925236841063 0.00371805326513002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0340675861792754 0.0206895420287314 0.00310286887540024 0.00113201895616395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0220855315718248 0.0133232646406209 0.00134977968525102 0.000465691037781365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0975507716916258 0.0589522954522739 0.02567724215786 0.00907668148272221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0296551117087179 0.0176344719055122 0.00230585224145829 0.000864410354989351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0147673147190616 0.00845144904545025 0.000559581681387607 0.000206829934762609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00968746608654535 0.00518244197642384 0.000239659796235263 8.34079344716644E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0844390813454926 0.0439093698406085 0.0198106856839869 0.00489574550023804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0229894139679869 0.0138088828213087 0.00146671592399318 0.000498593249882923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0113894894835655 0.0078903119543339 0.000385819393922867 0.000164128597044788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00765456731411674 0.00533372529747193 0.000196975604400676 7.57118599029498E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.295506132505937 0.192487793290483 0.259407687159368 0.0897978450080078 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.121983414465274 0.0752254748610709 0.0411112609302573 0.014385260442583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0679987249000199 0.041381109486867 0.0125592645861718 0.00441349757968557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0440273468018706 0.026634805584771 0.00531033202261219 0.00183286945818958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.190982401988757 0.118924929159332 0.104827191987355 0.0356145200917717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0579825784371788 0.0351769630025791 0.00918728112136618 0.00336064539582192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0279894120742862 0.0167819442452646 0.00210058846396579 0.000788963140774602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0170963107172752 0.0101190779090339 0.000780164935416401 0.000302324817158808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.166989095298529 0.0886526893404937 0.0793503496865928 0.0192657841899576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0456905377509058 0.0273706473702109 0.00572748824841517 0.00193313773079494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0223613765288772 0.0155402723515474 0.00141899675857207 0.0006367642132298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0143606781000953 0.0104237432557981 0.000633367998980322 0.000291138959353059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.570163091884857 0.40351574244083 1.0590051505974 0.362204883265908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.241837047429616 0.152258514732135 0.169233595614301 0.0565690788705252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1355512937679 0.0831021437901689 0.0511963631950718 0.0172854006197559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0878835906155372 0.0533538125452388 0.0212931544587283 0.00720741948663061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.373283024707015 0.244655347439053 0.429597291015404 0.14441148943047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.11507008007702 0.070675537109448 0.0376071870402781 0.0132237178311188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0551804500686423 0.0335902564323298 0.00842701688058908 0.0030853459454512 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0329826910086685 0.0201542883659785 0.00299494149379917 0.00115964122007325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.326623892110055 0.183525047290887 0.319794554845673 0.0784943374880006 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0911495314755486 0.0547262486914043 0.0230419384238055 0.00753420132812205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0445289032022378 0.0309361563961603 0.00555296983290007 0.00249330091007934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0282584552208967 0.0207260358123064 0.00234423027734063 0.00114324079242485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.58756731068086 1.37083290563776 9.79511948688076 3.5165764717324 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.690990772966394 0.487413424076949 1.54040243151523 0.52867651941423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.397193190363952 0.256780554587573 0.470440934875559 0.155615461067102 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.260043813096141 0.162545519430486 0.194072477855046 0.0638925331964725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.0416514569508 0.823032075401469 3.95985865339461 1.44784930414962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.341007849044876 0.220580146796388 0.359098814065121 0.124120797353451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.165296549178257 0.103166961424219 0.0799850391040412 0.0282508365107284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0986142260837698 0.0613935138764217 0.0279226482138646 0.0103619671189519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.895012227978516 0.641519644809115 2.84304138809765 0.817152897922544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.270002866906178 0.167114006332307 0.217508082058801 0.0647916752366758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133816032156474 0.0925969419644982 0.0524475140515782 0.0210836686478409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0849254214669848 0.0620442773294119 0.0215165462318916 0.00981803254971561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.61055350722997 2.39454581633725 28.0007420341654 10.097281084188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.10243142459756 0.85678694261188 4.20251845919432 1.53044115716388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.642167519342764 0.442045308042085 1.28453531782872 0.44276676060867 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.424378723785479 0.275789671735633 0.531679597116489 0.17897113816008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.70409070566826 1.47599250062798 11.6316635094833 4.40956250021473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.564329566472395 0.390686720908308 1.05533353841018 0.385785763704607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.278137260920678 0.179621058834851 0.237749395149914 0.0865569870345717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16686746448632 0.105911017095174 0.0826748826800592 0.0308530507194517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.44527099023753 1.18086758989734 8.18919159038317 2.52891365886458 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.444069995680538 0.287905928318723 0.630958151506424 0.181129350332009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.224747113267662 0.155523045346958 0.157508821719063 0.0567658270832042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.144046088076388 0.103830223978399 0.0654736778287721 0.0265868294558926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0139009637526276 0.00836207309356214 0.000469711525137485 0.000402500067159405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00470506576129657 0.00299519150036787 4.81267692524085E-05 3.95081514307044E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00334423766442549 0.00231790205637037 2.8314232705354E-05 1.95463348062497E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00346399893839929 0.00243261492110025 3.77983341048032E-05 2.19784669581235E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0111979601467827 0.00634000694946137 0.000396968427299467 0.000131819433100161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00781860161600132 0.00499226519564895 0.00017729120287753 6.67233695636886E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00901484796609185 0.00586315128788991 0.000237636009031545 8.75004534038293E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0120699330369161 0.00760219714389851 0.000524741245943009 0.000163294295189857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00899718523258457 0.00543682359600164 0.000325653094740626 0.000150249948373495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00285680708978121 0.00168268197957544 2.94622250309929E-05 1.10364640202918E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00228861726158576 0.00131431263186291 2.06315947511782E-05 7.23561868152479E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00295737821907794 0.00174231533494861 3.73567325875775E-05 1.47229933355313E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0939809271400641 0.0733910512232247 0.0749033752673044 0.0418138641372643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0293972596514138 0.0210625876174892 0.00516628324269666 0.00299718271416258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.014650461316393 0.00998046629119518 0.00117106627337733 0.000512104300437512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00940705286324569 0.00636542717187653 0.000425007466111408 0.000189848795388933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0616352829704678 0.0459901663288873 0.0283974711800025 0.0251559232339616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0226796795005522 0.0147516525938298 0.00345170038035928 0.0016980552036724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0155075475035678 0.00978340102924079 0.00126929859186914 0.000560870079248191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0152485305172398 0.00946609330711926 0.000978366061698792 0.000342152417950626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0654518876635221 0.0469310058537462 0.0760525069477069 0.0333492640164247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0157300841182701 0.00991852385838087 0.0016410286005111 0.000596820431181309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00886171697220781 0.00531018561974865 0.000556444337733666 0.000152300036927768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0069233940099436 0.00412729896781909 0.000272281857808533 0.000107065888752997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.186481897292077 0.154234781350915 0.468724992547758 0.222307743248884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0579013413036774 0.0432725447052192 0.0310483828896007 0.0188635605315647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0284840172917679 0.0197122899306726 0.00657707423757569 0.00246693143597498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0172515483461179 0.011795822747652 0.00170573088450073 0.000790547351079106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.119393856579289 0.0988597988616768 0.142950274974078 0.237603250447491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0416668201806856 0.0287590806962869 0.017225728545052 0.00966737278134892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.024985097304474 0.0163001851930157 0.00494189924803526 0.00222292518643934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0204760422545904 0.013106158985173 0.00226467571377847 0.00115343731615159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.133002904803792 0.102682485802171 0.585267808960545 0.296089039937625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0307982224487133 0.0207200905979024 0.00866088100364735 0.00459748733376447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0172697499306498 0.0105211315915195 0.00395290292555958 0.000823938926423441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0123483044413658 0.00748242927519469 0.00120958708901146 0.000475372424678927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.373804074648303 0.323145145508728 3.03977465747176 0.796354389797862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.118547341180064 0.0899785143891926 0.389885977645521 0.0822362220053522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0590292450498864 0.0403691924727581 0.140425920508174 0.0118774718073421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0358391052104747 0.0235816985364594 0.0505379871434302 0.00397044020737479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.235493982900401 0.218134503806384 0.624278082531995 2.20300555985344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0810619344249382 0.0587665777630207 0.0976397361039658 0.0377046928449774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0475965384456222 0.0317109652175888 0.0662083890255828 0.0109514175733353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0337656987616252 0.0218868268917452 0.0177142638632932 0.00414752122096675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.270165139708037 0.223739216629644 3.16382234548821 1.1976118031264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0597079949516038 0.0465320585240602 0.0280592913602162 0.0761685651125557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0325584706478559 0.0237653984417367 0.00848880380488818 0.0208626880006134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0231677246503533 0.0169348063824284 0.00417730481356264 0.0240876015827049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1625164315431 1.06607408018725 28.7910725322338 10.3326141715574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.373502391254069 0.315707006111552 9.9093254624859 3.27150685294065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196105054422058 0.149306237773622 8.3692526041803 1.61693200678689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129975726421263 0.0897787265109006 7.4937510432913 1.123496768568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.98912945664097 0.952922591363282 618.277586673823 294.816292661204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.264601598894963 0.325978303212303 6.95730516456657 62.9708133869599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128566808450731 0.212760854295893 0.20805817760504 35.8973255097282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0941785827679603 0.146820220187486 0.774554409642226 22.3890950768474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.898839876299838 0.821121941000749 125.325547371831 48.4326288927163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.301444689265593 0.171734964420167 46.6057630536373 2.93600265450829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.184793306697814 0.102705743776917 38.1881341515766 4.31586814790329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.169664759013081 0.0861152146210826 45.5489982546746 4.11875650061298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.96376207465803 1.84014711716177 59.3198486463255 30.7058159228752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.605645804469644 0.562991666200948 9.51592359701786 8.07021429637953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.294622825344392 0.279651131768512 4.60779959206065 5.3823381840867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.179331214150682 0.17935528295925 2.62290141603439 3.90340704975388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.57745597722977 1.30876871821719 665.387394282383 76.3270673658956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.464533395394527 0.371876220487104 11.3392347605874 2.55414343820091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.228625537367662 0.213659942073591 1.30549567453316 2.55148044156961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.143371154993454 0.154771780108498 0.367978114461959 2.34259353837877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58130682327583 1.42112110475664 350.912500833025 50.2965022034073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.373350797803222 0.279548659572438 7.52711800025985 1.21451908211357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.22643930619916 0.126865043157204 5.31167503707252 0.161604960602671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.171071432430346 0.0904447726885604 2.78030477544891 0.126036571829648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.284796576842963 0.263543851252626 0.633292732052479 0.592832272649121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0899301773789304 0.0717365481849634 0.0472230112774133 0.0354700804235096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0442214354703581 0.0322575007461702 0.0105093777750429 0.00574277508132487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0267237492051185 0.0190020314980843 0.00388230532741218 0.00190591769230333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.192626009750504 0.157411776619952 0.279599791765321 0.196781939892155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0664596250086807 0.0462484138716875 0.0368533697326112 0.0158380139682545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.037246023722386 0.0246504859737657 0.0115234106834221 0.00421241434379941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0272638416840782 0.0178439856376996 0.00490779060276922 0.00192920707781768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.202379563097849 0.164222052392713 0.493179684670844 0.25358507148565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0474774056826986 0.0333146018063673 0.0136504461706686 0.0084942249614967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0255792612761553 0.0168744400448943 0.00418864627045957 0.00178177663011759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0186925556077812 0.0122263341843721 0.00213875183501899 0.00104648769170023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.573782248534625 0.5544336280521 2.66919520689692 2.39972407229403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177323963515308 0.151234036475449 0.196214757825647 0.14944178453888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0865046598172997 0.0672940680267205 0.0418374914344206 0.0262361689934576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0519878363116316 0.0392077332355931 0.0155416702349467 0.00881055304628502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.383599452914932 0.332715708277021 1.21521636810405 0.777587754447921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13050681979693 0.0971406319071879 0.161469667657346 0.0731895034333299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0707160681373824 0.0501856774751973 0.0497163700694013 0.0203858992424226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0476692232637649 0.0338434031171431 0.0191507254247016 0.00906417895310642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.406000026728525 0.355466471706494 1.89600747457768 0.974134033240165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0943761142777578 0.0717143631262539 0.0600536779711061 0.0394580628570986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0512533449655877 0.0349068236880984 0.0213708038099765 0.00835556486147499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0381849773342649 0.0262806410648392 0.0118120242088341 0.0073072520845422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32474831836464 1.20619446610432 98.2816433209404 17.6813636127331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.40640528493415 0.349005025987382 13.3561055006998 4.01982566675635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196013712304175 0.170698297561221 5.08460591939129 4.82654634601896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.123544017521703 0.11085808284221 3.92861084419946 5.14671369771357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45589787560273 1.7699568327767 3521.81821811314 8959.19330730351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.818568714876981 0.213006776881262 1237.17478666026 0.401133358492455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.585317463088966 0.11104945854746 860.333397374937 0.138262671083066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.398001131834932 0.0742608306710902 407.477794080331 0.0781434100240401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.856664272272219 1.28289288916885 10.4830358332258 1627.20521434851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.26060592965259 0.944193931476669 27.9351014018718 3437.44158562183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.420716915677501 0.0929123928680261 418.010612520706 0.94060540560225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.56865716778323 0.0622079571014776 1228.53081179724 0.16467258175266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.36458345311332 4.15702002408693 582.268947606505 320.384895734752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.43629996706008 1.53907723974663 131.748132373226 159.193752406271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.838796824561928 0.937304951892662 216.792610462672 191.953822521609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.62193864380662 0.714511357635765 273.867278153653 227.594782332728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.78605966273219 8.54715814862593 7562.9484401047 48009.9613375315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.6046476601553 4.45619711071477 1218.02005287661 17469.2992712893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.16722588573445 2.86897382910356 1005.61802382109 8079.8891862061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.823222182017436 1.75843097029562 635.304132242548 2620.46391290837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.4115360018093 19.2163191609074 48992.2985728085 683623.993997044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.21402788474053 5.28653670229031 75873.6019830962 79564.2694225079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.83949945655597 35.4734524051936 22172.8079194124 5883594.58255852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.17176400066144 3.36347560705672 1099.47309201628 10297.4009876841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.22591099217267 6.88017853937824 1464.435806093 741.315285983865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.90736698248628 2.75152889274444 797.196852781376 467.05283462001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.79731248465583 1.773402185768 565.628243165168 463.662829697852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.27976134194481 1.34110993479002 366.79807209248 316.186431703842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.2056090731291 10.7781501809257 26764.2188039112 23086.0291510147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.35691182379011 6.93745077896386 12380.5722312044 19891.0046746526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.44234310163226 3.38916888292292 6741.62378798071 3452.23328264985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.98981097363083 1.80042220612138 7896.76747273183 865.839373301403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 34.1739264575848 29.8132676493453 1293236.44990744 840769.548729788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.4729140957362 15.8453367805613 129589.445748253 684111.312887283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 16.8006741682985 3.2640434152281 614632.867999111 5728.54001965334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.54202618852669 2.2748894736674 5574.35268584 1455.54529778418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0414738323179053 0.0405742005888559 0.00508492122053074 0.0103905156355321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0121709778154313 0.0122002613822446 0.000415134975425324 0.000792998190891553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00650450754545156 0.00751006504435753 0.000117616057780774 0.000224451843598377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00535465631554572 0.00737433112499821 9.57563073833072E-05 0.000170193188642091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0293780891094765 0.029773907555148 0.00321697854639082 0.00360742031930164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0140491360451489 0.0161575240172299 0.000698522198529255 0.000920397520680741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0120770978748752 0.015948642877879 0.000468883191650736 0.000862741338099112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0148410092903556 0.0202145438104907 0.000986541349210306 0.00153767955794727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0282413114637534 0.0276555767518547 0.00347582504844213 0.00363204317428335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00814840686441101 0.00823555379829104 0.000238785700296077 0.000236745371578615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00521871391427717 0.00590437863813801 0.000111669003749734 7.84336400968452E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00597913673436938 0.00769903064581708 0.000393342734591022 0.000185862376485089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.119276928147147 0.10405901800403 1.75456021497056 0.201280426567041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0357004195350491 0.0316196807355354 0.103303337949045 0.0188543695707295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0158340905273604 0.0155929809303732 0.0030820507274687 0.0019916839234563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0101530074995785 0.0113893652124976 0.000527361359242632 0.000638339902063736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0800826518068942 0.0660456334082973 0.668174484136361 0.0423186165834159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0269950801237705 0.0268834341851784 0.0162515518028234 0.0151709534198199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.017691888876679 0.0199304499104927 0.00385483808774248 0.00167044008188879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.018458101556954 0.0220336557685072 0.00420821632424432 0.00185774149829962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0685272372253785 0.0724771193903914 0.0826061063463418 0.490503274275087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0177745993686087 0.0161993483311837 0.00589423844208269 0.00189645737472636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00978796124481654 0.0102516367969533 0.0011324560885964 0.0019517399893118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00919683380445949 0.0107192225146887 0.00132712025372362 0.00147534714492094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.196771041911981 0.297765377628033 2.02611176355441 109.588224595099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0627445582916527 0.187509285727282 0.274278032393388 141.114912238806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0284353335827922 0.197067619104196 0.0170359319123078 232.998920187543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0175259968660213 0.129812964919726 0.00377600447998629 101.20090428183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.95169692061978 0.116868361252743 5337.5575386513 0.165136633640581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0475089505307635 0.17411456987927 0.226160952666495 144.006622909829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0280273892184242 0.154339600486864 0.0526679307839253 130.968145077555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.024540593223659 0.0940541596655763 0.0299285740059304 37.5456797616382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.131900544190182 0.468253964529783 1.11389576089287 989.182420950051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.657424832765824 0.0301391689066692 3158.50244512281 0.0362970140051951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.715066334512884 1.22301455609889 3914.3070186533 9226.81627974972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0496832145927789 0.186748564057456 8.44169406971121 131.537510398345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.428408789065549 0.6286836735179 33.579688424026 614.368060179612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141481040391584 0.175129746767341 4.80848923270469 37.4834827194232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0568386200569602 0.158142132560424 0.146642346331171 82.3941961760596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0344544978750257 0.130003314514276 0.0487382398796604 68.6072427838961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.3457882580107 0.233997340826267 132944.891653967 1.70756060774628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0788781347261203 0.364097630333898 0.069872961229167 631.777691944824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0462907826919235 0.22185713550244 0.0783423075281617 240.642013562198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0382190580103843 0.1132433986425 0.163422649745873 45.0735456750355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.33895965470661 0.274416421881738 132594.999932146 16.2010476760127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.123826591019573 0.0702484911265032 23.265020796827 1.10258058897855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0451944841334484 0.273068046800914 1.69322375483653 456.909250146809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0413195919305703 0.0931138290393352 1.96277849965478 32.0789947177202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17833066078476 1.23053998937843 58.2847572415966 59.4493167024157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.365254826503764 0.361177936910579 6.95530041470209 3.77553524489458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.176170363524162 0.169718410999653 1.53597902875018 0.786566281248726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.108530572398247 0.101748014409957 0.759610445687791 0.369331453792547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.816023632191986 0.792355469211806 36.6934593372021 27.9646789672707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.256123101413011 0.246880875496784 3.2267933077056 3.93963345764615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.142599078401579 0.122423811364502 1.1610991406772 0.431698336701989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.105479247803699 0.0867383012894105 0.804968772327364 0.212497819228202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.748387555600277 0.793764579011694 14.2623949095422 20.7604410087676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.179926841197837 0.200204841569623 0.735357493677545 2.40682955863527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0946553793247544 0.125088403362745 0.280324070052171 2.67702765468128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0662205180157387 0.101986516829331 0.0466999399394442 2.34941842445208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.08639089883871 2.03957150297071 150.370686071214 83.370508935882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.645578571156619 0.647974477839535 13.906421988116 12.5735207281922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.320642300122394 0.325342310631717 5.28205652906106 6.37068596902909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.203184659572871 0.208121581463438 3.91482305973134 4.38554733193842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.87823287173975 2.63791642911867 1244.30653300898 10803.0391592038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.14134154003075 0.487084368125558 1844.83484238352 24.1222347745381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.58683464405893 0.255114294383968 447.445248641576 6.44696167491354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.343285930205905 0.165012193629368 120.020514751087 1.87884745782929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.69415157461008 3.49894967722866 70165.2001508704 9105.35799411866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.533542566473523 0.658269017686053 193.184813668836 296.811427858771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.431047694728148 0.352168400101312 191.379151770858 80.1558866754541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.208857181046404 0.208589644129842 18.4133580221924 20.3410290070593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.283540954983016 0.265270647843181 0.977945312490034 0.558355918693848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0885909847642763 0.0816624826278033 0.0858326611265831 0.0431644402227018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0424947729774527 0.0389191520767226 0.014914715719937 0.00859308825784198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0257871084553878 0.0244470237173712 0.00447581374248539 0.00308040603687839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.183733868118043 0.174114577616418 0.389341605426179 0.39785000564644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0612105958499062 0.058637512811918 0.0415201211111711 0.0462434249429042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.034680739471344 0.035249001685865 0.0110889812923574 0.0137866752923545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0281000142686259 0.0308434885582588 0.00523447514516958 0.00720872072419242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.180435678237136 0.172442665889701 0.431480123255513 0.381085954102185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0417170252316971 0.040003134564611 0.0109831290167209 0.0116998037353144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.022988861673812 0.0224179109634559 0.00303467049327443 0.00523164860012051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0174116615381562 0.0185130217093788 0.00221817039089069 0.00435531194470926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.584388249099261 0.533359945322663 11.6728904180657 2.40286134198872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.185187814869264 0.163825366554624 1.04568064080936 0.225635367596373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0896578890282239 0.0773740043617904 0.285445830880782 0.0407953399980624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0550932378347726 0.0471637071042915 0.157892865314407 0.0152922568117733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.37316039378723 0.379575831335682 3.52289556419756 7.7956956376301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.120942096897742 0.125635668404194 0.257802093000577 1.2919601357471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.065937225678365 0.0682927674832678 0.0678737817523911 0.358670946248406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0475258857134742 0.0505790755079942 0.0245455840595276 0.134217147475909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.374731932426933 0.359355647996787 3.32277874757227 3.07674252032698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0844547886585329 0.0836593554014922 0.100490235439223 0.16681739171767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0463389288514278 0.0495081052595644 0.0250562566802949 0.200837645031072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0339073205586225 0.0405892154060008 0.0182416203215295 0.21674079389634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.63416155649974 1.14835018388756 622.987227110689 20.1542575596039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.573121479063037 0.36647531084172 96.1904718692836 4.06509752262537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.291656403744989 0.180749035265227 32.1910228587057 1.86581260972383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.196818366764101 0.115131059174013 21.2901541956698 1.45933505006735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.16853134039223 3.17203932432529 953.359345441293 25337.5842633094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.347565829806675 0.48532648724962 28.5665502051259 232.752676521896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.252723133879454 0.167434979339126 27.1107889402615 17.0898828595508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16014877832807 0.105751588425619 10.2911047274756 3.78789472247779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.88964493770316 13.4652863858769 3648.8827735514 615356.382333467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.12793743796213 26.2459105004667 172796.576993025 3905768.93867379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.771635313191445 0.193070675012618 1993.49520303679 31.7594875415162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.252975734186131 0.159694649199638 90.6618478256095 24.5344770843943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.93437970660176 3.73856041799722 377.722359725025 275.720968101842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.32205834502179 1.21631759499421 104.216015933909 35.0704300898663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.723019675107574 0.623282546453359 59.4958842644778 11.8346246137731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.508080929516404 0.398022479007013 47.5396279302125 6.89988760316998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.76757787517585 3.96429263762726 53968.5838725315 3438.50468597125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.75343272738259 1.47954402836344 1346.51755460272 1137.85640387877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.828047448130042 0.696452921067046 267.263307290385 280.858904225585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.586121584703617 0.381538517799196 128.084708079735 40.8953670137824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.138235068389 6.58222708786133 889197.067602345 84141.8741963767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.58252833841345 0.83993563235835 115130.596103947 102.195296305641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.71240546172569 0.977152355445867 3387.26453856558 1000.53079623956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.417856555475312 0.966872923976843 29.1440954028592 793.103944082113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.30410346876049 6.39535135705725 2103.19520116671 414.701737731848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.84003432170707 2.44439960965597 646.924637325481 166.795315023973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.71973157819901 1.50111924431743 450.533061377602 130.032663821727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.22425558977688 1.11484118138878 333.017429980978 109.418987315752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.48511186989153 10.3164232651826 10920.7468143287 13728.7621568773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.72179341127235 4.76712882134425 6879.96762205266 4752.94612625795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.72177223918793 2.35860255169478 3075.23395516553 1326.53208089308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.63379205174191 1.66315650126194 1256.54688791207 696.658743176066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 44.5984424952551 29.074321036467 1995341.52600531 266176.513595783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.75790471521795 12.2916799788939 37587.913545175 95916.2951210481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.27353143173827 4.72380776704803 10334.6147057857 15332.6367603406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.36860516898859 4.00304940383243 10709.977496897 16593.0984513579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0263174347829835 0.029938605588106 0.00234668428282134 0.00560854437019185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0118743918975685 0.00859084880033119 0.00040587274123085 0.00040492774491936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.011032729680949 0.00479200124369582 0.00040994451308723 0.000106076938411513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0124624186476817 0.00416589979521867 0.00061305099951042 7.39550881706458E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0247778288170867 0.0230744310656905 0.0022439197006216 0.00191358051220952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0258097766154266 0.0126739658028987 0.00198229360342498 0.000519732434182622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.032341425713719 0.0136908145964949 0.00327248072051955 0.00105347569353985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0413563003938221 0.0215158861841118 0.00569602057642851 0.0042891409063091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0178753697565983 0.0212841265765384 0.00193226179357378 0.0021787675793694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00747380730127816 0.00629375895854414 0.000251246157995052 0.000125240127101878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0124061213758206 0.00519302752178206 0.000740112626242892 9.79799020092293E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021376257030377 0.00798729469993172 0.00219179700347452 0.000465607223508823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0979671185578672 0.113029733864222 0.326077078887032 0.311664313815325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0297277688418614 0.0353595650356539 0.0202522293565018 0.0245713243400253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0173984949525324 0.0169762809619784 0.00296233790792428 0.00357826016683836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0153872670316482 0.0107696278502464 0.00146310361203999 0.000990410196551697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0630666946329171 0.0759853557280201 0.0613421953610197 0.0643175582481483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0335192084479065 0.0283474497362346 0.00892569334087293 0.00867743160703808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350075096569784 0.0206845877905601 0.0043267789741083 0.00341243447049552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0426935600319059 0.0248308877147511 0.00616524701451309 0.00519573717838717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0680770133911896 0.0760439939116527 0.225468617378574 0.0780009291072856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0157756592542199 0.0191537759343261 0.0032622216052345 0.00309499343129434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0151551706447004 0.0112566892176771 0.00151519232364348 0.000766628139652229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228940360351599 0.0116400216643085 0.00266589056433719 0.000852267499210058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.195733561272754 0.213168003932761 1.99902643587648 1.67771292775782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0560874333018885 0.0677752951842017 0.127013487034358 0.150626965039181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0281459074431524 0.0325031373152286 0.0187750065195487 0.0236241897516491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0207180837310108 0.0199280574640586 0.00702639730648479 0.00670231701791135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.117791883372203 0.141489167779824 0.29575091317523 0.337133091646025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0475450563859468 0.0492484467587044 0.0416602355885514 0.0486863381518183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0400604436129178 0.0309757753521432 0.00810287970986631 0.0132133515271416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0456115322577077 0.0303795161037798 0.00796047076277807 0.00925121146714162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.134248375206169 0.143845610876618 1.08336547214704 0.313709822458696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.027695771383522 0.035523588530161 0.0144305808907355 0.0129564024233375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0204366878508966 0.0193685199901542 0.00576012940310786 0.0030364126608535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.026014542706585 0.0169997616186414 0.00495781187482801 0.00234034933006481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.442947419087653 0.425987061604559 41.6078676792827 12.1569939162945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.136342995164412 0.138958586797145 6.80300780769866 1.88744668786072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0634549236761853 0.0679371615463982 1.23321615031411 0.359990933146384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0404075893162064 0.0414091220614462 0.420999765105167 0.110482337185503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.244357160693397 0.325195787050283 2.07046978747091 16.5825933760881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0845866039104977 0.115375025575229 0.360460035158468 3.2181661650972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0541768293026968 0.062316835070459 0.0311769138603197 0.537483009110918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.053123567457944 0.0486808178490591 0.0161601216255771 0.160898628496257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.304143189453993 0.303314044837483 9.42891315807858 3.6349033963273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.05800188967434 0.0757120002751189 0.115553747104043 0.291062343619774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0364190677400423 0.037628819619297 0.0738008443482039 0.0304852835144121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0373106808714432 0.0306354777742226 0.0560292973654572 0.023144959594242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.1027898992956 1.70068526164956 3138.70440367722 1343.72184571443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.482836564062394 0.571772226127519 36.6588865558609 165.173260706859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.217692794067892 0.405440625524594 9.50572408337338 129.886844579092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.132058345328082 0.294941402458028 4.35494883605543 97.8763409871866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.16347375563662 1.88351215270162 574.14671594324 6124.77930529227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.301981280244209 0.582626508732647 22.5038334262162 330.284768338979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.138372389903128 0.387928487854533 0.63644497463408 198.183662452286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104199502012495 0.253692733893252 0.311669961986045 72.2990648502937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.1483458512811 1.06704076059873 245.356099358219 65.5251532652292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.375375194141058 0.523129881296408 77.6151213406867 626.754290269095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.30684878974273 0.127068867458109 90.9833276242966 0.570285426503692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.176745649738852 0.0928975313274175 28.1671012347068 0.253501591392061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.31212294935748 2.29533331420995 256.654709229199 155.052586452289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.74031336588404 0.793692443591526 40.0656723511668 38.9365724032385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.377458036854509 0.450046350035375 17.2095864924918 26.8258266117041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.248223588881469 0.312418732519191 11.2867338288992 19.3844469483618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.79540716730058 2.11953417427061 5196.83957413303 1013.77416318505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.617403799589145 0.772407102989741 92.8285588993509 212.198519962877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.366179854550034 0.42024382967942 52.6418334045151 63.2830518270891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.254201314275556 0.255485967420944 25.4798634636827 10.7822958960777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.21507497659366 2.04250960751272 37459.7030979356 313.322387245603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.63916476266026 0.495544049112002 7654.4102504441 26.328323501976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.337193723032505 0.683985240356163 21.2339008592739 996.908558043234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.406923426205706 0.200483897539901 124.555913395307 4.47856965740539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.317544510388545 0.357622441322647 4.24000315639266 4.63331009515666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0919193942060082 0.111098090040841 0.34132366836544 0.516990262027642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0427357029297968 0.0534089621452478 0.0520068349816576 0.129481267506887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0279105876128053 0.0332457273818339 0.00965037687791301 0.0583011412429184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.205607239721348 0.232483913270414 3.04031925265184 1.47307450324299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0694775011088073 0.0833789721372553 0.278097401467139 0.364949215869869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0482187642490862 0.0489786821904691 0.0172620813833095 0.145713788825438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0496535801839168 0.0437237855186239 0.0115182459649352 0.085740121022272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.22250915647563 0.250738522232154 1.48130149061017 2.09628287435404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0589722845621077 0.0614240329811874 0.354748178077551 0.107475008601194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.034101906689714 0.0297070479054116 0.0975612441559975 0.00789182697544119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0353681820046447 0.0250985422054979 0.0587817743000691 0.00621389346164394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.66621138952779 1.24798686007814 21.0645527336127 2032.4205797524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.217877580078122 0.936488864426114 11.1125465362194 3208.73037407871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119953053612906 0.691727744555534 7.38074684372082 2028.10679729992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.079529434397642 0.469673038597189 3.64661524194359 892.570768512342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.800856324371724 5.54199184240344 899.342289754303 199843.104805053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.156863209889733 0.798436896852771 10.6934736424088 2137.2382743749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0989552569191598 0.297586824565349 3.13260546976259 146.445286322613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0855551869260414 0.172297372224048 1.85142902701503 30.4147322726355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.8319739690898 0.754848510683115 3249647.24884548 393.499112675736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.95135735674763 6.71366196313961 4068.96229535223 332805.931857897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0770953992139699 0.422651187706695 1.38862970130131 291.49795400928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0728682651035469 0.240674251030086 1.03163558567042 97.7543562934956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.48483442551117 1.92239082641006 182.285658293346 804.337054393913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.464682186455317 0.899081341076652 53.1718847987341 574.907196351622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.25777750364048 0.586437991968494 44.1035698658835 375.939475367665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.183346578657836 0.420042180899607 34.9781675386315 225.457861171628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.34052263977852 1.43746712892056 5806.38275312356 961.235981284515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.694636054301838 0.397737160604297 564.064297506422 25.6953214948504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.331279464280104 0.202214277537028 89.5223881478495 4.04966994040784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.216874255677926 0.133117251613053 28.0639237582525 1.28266155714844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36432282333188 3.50133985387468 220.840994828731 12543.4282041301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.439366774642769 0.470899924226959 128.963037467738 211.173330929351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.401172664009998 0.209857744943644 214.660337498124 27.9956053337189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.424015953460314 0.144621344472012 313.700553888293 3.78004051429655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.65507584393106 4.86470838828018 906.251161973946 855.430097144801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.64153468127944 1.94726195997795 222.221219600139 398.682900712678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.868247043924168 1.16390618144388 113.481024173417 214.989503699423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.586891434882413 0.813983918005662 79.9850910684532 118.496796165137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.42059186310347 9.83667913437376 39383.720888326 43172.0641527411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.27048779604873 3.65427164597002 2411.21210168736 6468.53201195712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.987581452319526 1.61328028749954 347.695632993706 1249.20493828959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.568560880803051 0.943559304949323 105.45018741166 344.64029780729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 57.5316948142384 227.253433150478 13316174.6289614 380874022.274809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.0429058122801 7.79140897529007 121612.476428335 74332.2388240575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.42689642055915 8.16581536337146 42906.8518126537 181596.022231967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.25590222268756 1.89181221763314 3928.51484152958 2331.77351917843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.43351119529457 7.15692674418565 1414.30285595225 716.783991230219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.75700602888034 2.73236955246459 364.119268097793 214.707593024396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.58627379461652 1.60075378881441 216.989961765139 99.1896294982425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.12398397160159 1.11126887031162 148.667372958806 59.4056267302141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.9342670308475 10.2213492612586 9644.28145994533 17126.4014062975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.06583346465948 5.05395615602973 4516.09543094853 10049.6567626251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.9671261792399 2.28865287280142 935.243593266269 934.675501430663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.11107504103878 1.42753020727476 204.931323136476 265.306462296786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 36.0152748018259 639.780598701293 653551.37251986 3015966896.66323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.61452709018942 5.42854236424321 27743.6561373043 10341.4940747414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.7859365560143 5.55788285572533 175327.537919792 22061.9995608718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.51800708824311 4.42840863434045 2064.07219333671 24290.6364451025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0514381850705753 0.0488824139954348 0.0065750970487659 0.0144564668309227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0149540547902823 0.0150161488608978 0.000525914635880068 0.00113320567831123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00868055379749914 0.00933714831495903 0.00018902173273006 0.000314426386693109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00768416221442838 0.00885920040104317 0.000182429095360775 0.000195564886665951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.038060543706362 0.0368210321427611 0.00496355256823225 0.00507208483860624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0195102405424258 0.0209309911697355 0.00120517883935246 0.00142989765950426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0177415024415806 0.0207143244274456 0.000872316204290466 0.0013720883941811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0202169163816878 0.0242043147386109 0.0010071879800271 0.00193095490385458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0360254820225286 0.0337752349391392 0.00478798295887352 0.00519449785682221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0107934125412899 0.0100907863465835 0.00041488582111587 0.000320963228974531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00733336614727646 0.00772537052166137 0.000209210797385258 0.000107190499991332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0081296590918776 0.00983869260749159 0.000278985548946597 0.000102052631996693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107775157092326 0.103939383892271 0.0597614399718333 0.0743990626203908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0321486813547753 0.0317326677588597 0.00458424724909596 0.00682154409844017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0162389913809755 0.0162054066491642 0.00105960007599296 0.00126381782909383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.011679218342519 0.0121760391771859 0.00056343034517587 0.000519038784852628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0743254168062685 0.0674568135179227 0.034169344827974 0.0233326128047938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0295677511254676 0.0293404669674143 0.00427660366062852 0.00502127066197751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0223182877929376 0.0237849334216733 0.00183666416444536 0.00233548096904625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0227965409193031 0.0256904104605907 0.00152881511628418 0.00239347075042397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0730419820278947 0.0652599414296291 0.0462657151057177 0.0287377794446403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0183532080157846 0.0171277978796089 0.00149970458378881 0.00144483124168601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0109981587152394 0.0110641035650111 0.000554675634167423 0.000442874869463903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0103789803933065 0.0114582337810097 0.000545829526380424 0.000249832321415708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.185387843881107 0.177998485068535 0.255099349660733 0.254158320582733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0562229586906586 0.0549760047065164 0.0191187692486982 0.0253102320305984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0273868945630614 0.0267113870792505 0.00357064652683868 0.0043445001114813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.018010444860024 0.0177273544604056 0.00161376301734071 0.00145575456657334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.125704573386757 0.112072402007955 0.138286824141227 0.0723707121760094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.044725237325605 0.0421258702534383 0.0138721138276037 0.0118028370933074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0292992444943344 0.029521385593944 0.00437770847704936 0.00508273239696029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.026912227237103 0.028952849834488 0.00283350549332607 0.00388363188699051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.125865973210561 0.112031014745067 0.196230543006731 0.111462315210427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0296906532314399 0.0279495645673334 0.0046205270073454 0.00500838625328899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.016839710380734 0.0164448448756281 0.00158334520419319 0.0015253814276132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0140179259361222 0.0144353950384249 0.00131455117975871 0.00073525424437598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.353367440129423 0.339962395086168 1.19323126672166 1.04060775041781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.108589751743557 0.10541816366465 0.0971701480868799 0.109962081520363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.051978481395185 0.0499175278479092 0.0165277794460449 0.0188392683613415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0322805068210377 0.0308752424791506 0.00623176515821389 0.00566468238999173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.23800564412697 0.210732100804814 0.674193452105179 0.280177269832171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0796492612259971 0.0708755179472236 0.0678946592073159 0.0347608042781969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0461377252788126 0.0434789537517581 0.0157278142665422 0.0132921364291833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370615420768256 0.0372721390910764 0.00803740933900616 0.00962017507164746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.243114581813744 0.219613988195416 1.04352814325944 0.527959333324646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0543910131389006 0.0523071787403507 0.0175397851054681 0.0220858187511521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0303366010675531 0.0291765364388449 0.00612357317419257 0.00805698611940919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.022672508263724 0.0221849018244684 0.00463218546224661 0.00386210697121339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.21175310247954 1.08256466089797 83.3088970224394 18.1313910182315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.404073710783703 0.356606577954801 22.1538110993703 7.59389788203701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.208465787383014 0.185107735801564 7.5247317865231 5.14900411647204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.133593724050381 0.117947951060597 3.6868259724275 3.22183476903705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.37161705656703 0.750310862671493 1469.08023836574 75.4387566833821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.449422385501245 0.238184616924543 158.335909431243 7.98044523271141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.239712743988981 0.109959305046398 32.1631408971542 0.125274199983609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.168024491945232 0.0794888041168188 12.3467649356797 0.0719122147785934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.05340506679613 0.990593055128388 5055.76157982854 262.291338145188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.187676994743115 0.316245593682879 2.59549910630595 92.554031063379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.170169101324142 0.64010227113683 30.8438984311459 2003.67390532324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.172267793587169 0.11366263430799 43.6965765505874 10.8465537505013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.94861901029641 1.87352782206198 96.759047716268 67.4400213344607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.610289341478287 0.58978052891219 19.2239734231486 13.0696134695892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.297142951777448 0.303184809336591 5.67219698372682 9.30121212114086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.179308350061125 0.20195221372204 1.58906857344513 7.97316548262123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.81385199617551 1.20392647321164 731.347055157032 27.603608771418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.566620893458498 0.480918813268458 130.203339856455 63.4259378163014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.225940319464998 0.255266829223402 3.14193021791943 15.1638416446387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151204515055629 0.189686175588208 0.920836435056975 6.51314720067613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.63835455799034 1.87290709568104 470.171821766074 2008.19092455992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.38427561525707 0.325934330800794 8360.97243175681 10.1669545433895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.288201809904277 6.7904868680556 55.2900176750071 350579.29178301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.158804468143725 0.905429518293963 2.60992260059729 5070.16542266513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.277347182735497 0.268230566245751 0.602392972325612 0.642281567050547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0861297918825379 0.0827052318810378 0.0515905511951267 0.0526920039572724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0417885597566699 0.0398391649924933 0.00990797891740772 0.0105038744610614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0260334056653992 0.025140503454329 0.00329324459681651 0.00344233433315072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.18346418797977 0.174790245411656 0.319417147335505 0.215555371668449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0641146464813165 0.0601151744131257 0.0394893112895507 0.0274351047915438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0382305966374578 0.0374596976341487 0.0093894731069582 0.00894021065973643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.031685409668591 0.0333651350357637 0.00460567417742169 0.00653591839757521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.181054824249262 0.18266185697287 0.263210543674203 0.39976524153008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0454047837318326 0.0415319633768913 0.0136208697847844 0.0123361051155367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0248454300520958 0.0228790570852508 0.0038626965583794 0.00413874609440988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0193292893138243 0.018868639912887 0.00282078510688463 0.0022471825325963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.85508064387421 0.681789970266051 42194.8830273066 155.844036594417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.28666979128802 0.342047552548413 9885.02558035569 248.640944203441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.558367530078441 0.118472955366998 1774.88994794028 13.0754369637311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.309207119318633 0.0648638035369229 513.473640392531 2.48527360727385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.36586212917783 2.87901563918619 2.33963238111399 26390.2823885027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.285040682789308 0.243857843652896 206.68746368196 137.55649700054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.105479226623619 0.0826285334351688 10.9003545176098 2.82883094119896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0645766454055944 0.0990746901031041 1.62578876093295 20.4749710897811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.545543415799622 1.79071109709616 289.222525161977 16081.1624646158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196603705150312 0.0838030779531699 62.9110959288489 0.0932638005261026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.115644651200859 0.129018313506104 31.6955969969447 54.1300488315102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.039698445252051 0.061984661873489 0.117730417925332 2.69684604109739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.09801147842414 1.12573826969723 11.8867430019455 15.4382213077157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.347738445466106 0.34492860110059 1.71518834629293 3.3280655825047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.17157714179363 0.163191077885041 0.913906138642861 1.18561092140934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.107255062479433 0.096677128750523 0.662861868959422 0.314087579785772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.814648454974372 0.732775026027245 59.2022215213944 7.60581173919506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.274745712922378 0.225959796187061 8.45220137018165 0.699975486627442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147838003263881 0.118628609670234 2.1962296598815 0.127504100248989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103978500420836 0.083191514866216 0.926386470538757 0.0551745478690727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.741106989644402 0.995034353288778 7.62514807564299 371.900155627657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.176272144411836 0.228958645967927 0.315940906864316 21.9891170170325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0978098434618411 0.157784075369711 0.138129186949734 29.7106445450522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0695018277000218 0.0977857790651552 0.0686311595200572 6.59867884584805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.96295971400413 4.50088706573552 617.894101731047 1718.39134654604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.43656104880931 1.4945972475199 190.301677479706 203.223190308664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.890221189374817 0.727302995835241 170.013008895051 43.231161713095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.653900092135455 0.46265758505457 147.714220419522 21.7282046721443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.97519994354892 5.11456775556847 16506.6632329482 7736.61612538511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.13670895860461 1.07300124234124 3705.25895234167 211.516916904965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.808347960665033 0.638423914842757 152.689752532885 113.24473771016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.46421567995551 0.45963990557058 33.4078901795281 137.865343981527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.20732114344183 101.573071029638 62901.2517000861 54576017.0891811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.95741666638523 6.17678642066591 2843.78652996145 113381.626521503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.74691165744566 3.88960897267762 16663.7744171302 61573.5597880733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.9621856164798 0.943052019430264 482.932979716769 711.386065044148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.04130297408463 6.63683372617501 1354.8283812226 643.385561445175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.69471708259139 2.58540970579291 317.886122237731 294.912430285044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.58803726484156 1.53622275100881 174.476588235571 169.431989964366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.11439165636403 1.08091879501481 113.11992050576 104.487186468102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.09213010770329 9.919184657523 14698.7138918511 13847.6318555099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.43811377610751 3.52526570073844 4937.70455480102 1856.42022056548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.50722548262719 1.66025061247357 1670.80639058842 544.001393872295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.22017791495797 1.02434828560059 357.240789833411 200.033211580361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 51.0474762513221 33.2478405339947 11663368.5002718 884890.847663403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.48266084427223 9.76515070040972 43826.5071256438 78402.410935105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.33261203346445 5.1102603375261 3376.93584790023 17630.6301943489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.96106110940728 3.34172972996377 1403.45370889104 25393.1565081205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0446505030320095 0.0478678428789204 0.00556527617571177 0.0133198087486842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0135771044308388 0.01411532184 0.000496029272611098 0.00102924003737017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00841086052193017 0.00779093316694967 0.000199067778515478 0.0002461865761474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00816023067366482 0.00641738823906863 0.000237977103823555 0.00012209391254632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0333907256486274 0.0357863869757105 0.00433210161272152 0.00468563699071406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0189640703592688 0.0172108591575333 0.00121246822926912 0.000957849643527729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0186466903115927 0.0151976950038611 0.00105522843514396 0.000741994146011011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0228372534258901 0.0180072976240492 0.00170097314119775 0.00130335013466595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0301292912315112 0.0328904811658948 0.00437025412690553 0.00472051096174949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00925519889764972 0.0097358819923727 0.000341595719799469 0.000296311140428324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00685085788301848 0.00629191349055479 0.000195325646865818 9.90558044566577E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00854725829715822 0.0069495254115029 0.000323579545798877 0.000232611777544621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0969984664849701 0.108517646110841 0.0656831400312958 0.0913794591618552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0293223158261445 0.0330215709690099 0.00438246571738469 0.00730107905764793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0151338107628467 0.0161990311813866 0.00104762435420453 0.00140762290962823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0113419818487274 0.010967096663275 0.000539637721174242 0.000586555521051781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0677478035496416 0.0738360741782731 0.0439379629857666 0.0400557278114634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0282517135710648 0.0281420304951982 0.00648876981871327 0.00470614150931788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0224022157633814 0.0197525659411242 0.00263874964830859 0.00168997653244994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0247432173189995 0.0203402439258147 0.00245120528259558 0.00179443010293111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0631599425256113 0.06900697624807 0.03396800976078 0.0386083201554902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0166103880245555 0.0178224733240857 0.00195369440978973 0.00142903552732598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0103304743547836 0.0104262956183053 0.000714694740540001 0.000484039612221708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0105351630118048 0.00936611323371385 0.000567781901826372 0.000415560348201081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.167777671932252 0.188117603518564 0.264248542599223 0.306821633844459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0508948175092149 0.0582218037176005 0.0158402943903141 0.0246279071438798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0249394590393126 0.0280949443804353 0.00332600562071474 0.00487564231242528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0166264654480816 0.0178732811642362 0.0013494740858997 0.00204575382164557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.114345141917487 0.126093227339367 0.158824399735254 0.157724775134366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0422138343577669 0.0441828854180887 0.0204945485143094 0.0146727051708375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0286216078658658 0.0270476539354642 0.00706844310828181 0.00385983258527853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0282036581297868 0.0243987816418054 0.00451143190773154 0.00293467749715207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.109260592728598 0.121139507342694 0.125766007619302 0.141779474138997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0270605820543037 0.0294882697368752 0.00602021787675013 0.00447294899414219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0156192514329865 0.0165984427781591 0.00221777579028166 0.00161073860828588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0138262007328289 0.0131357770978053 0.00134014074216453 0.000894155453053885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327180380343753 0.356712197713353 1.41332862291182 1.24609653755401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.096993034442074 0.112136310487018 0.0679413240028631 0.11590259614206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0465208087163016 0.0544646821308582 0.0126774016635125 0.0303552620937185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0288781799374692 0.0338277624534212 0.0044794051763214 0.0143308216768288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.218417396996666 0.240803080692447 0.744187725619947 0.939096952345558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0729180823688597 0.0804194485176657 0.0735848754134474 0.0775323255376822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0431530746233278 0.0448837605227629 0.0216036754683585 0.0174136046684073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0367063300619351 0.0351198971009659 0.0113744515363083 0.00866543129728383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.21488049547936 0.234486596903334 0.600574748122274 0.598735399239186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0505895516199031 0.0556014599229609 0.0318080003169484 0.0202926996831528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0281582573590982 0.0308103327214818 0.0132790952866802 0.00808841496836426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229132566784651 0.0221303119077843 0.0159144324325758 0.00331425369479344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.03928725080017 1.12813803055366 15.4192454651031 20.4832592380259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.335653865376507 0.367511023212716 5.75504441207037 4.48630130945424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.173753944795596 0.192624862409101 3.72377506615742 3.21702838969117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.110921486540452 0.128691833705138 2.30753750208416 2.778990158559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.26870065900696 1.88647109392422 2301.32976481575 4532.48497140692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.590014168121118 0.469530856669242 591.273940109195 204.534024793824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.325328516401193 0.2433424136251 189.193770654548 46.001218736395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.152462095371451 0.130410586627984 32.5594102934612 6.30407130447274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.287125301242 1.50427588278662 729499.510474402 3543.95809548336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.224678524419915 5.24471668008894 12.8513383898126 98619.5021025163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.448968579815394 0.271073700523228 735.869113238126 97.3140854174125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.352505120726348 0.138690759897529 168.231180591609 15.6570493952372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.92225242332578 2.60799696553796 92.5337805319594 3091.80686009338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.597212951921949 1.11217059402277 14.8168969715743 1490.30952218305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.301576099161918 0.597492527327338 7.49216099125405 415.350768475092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.195581120758986 0.344642842422775 5.72404793113986 81.3015084012849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.34378191381102 2.63291922317134 92857.1669238681 4863.76142252072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.82048505497048 0.597160683219728 34608.5442808171 70.2439514824005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.698070793251826 0.339802554798439 1038.06865457808 28.2677251475444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.324897309079049 0.201942118618522 122.420410689879 3.96889991808973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.05799619423958 38.8476144741581 9102.24123691072 10598014.0897053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.03543390207775 9.59227115592004 2199.60386234815 631779.172743152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.55913142403556 1.60888328855968 7555.20934812512 7835.60192974173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.95706107842344 1.06964417267066 257654.373274586 3319.89368439109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.28545442094323 0.279706948424996 2.34769776863244 0.494058725430589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0894626868587092 0.0878400755843887 0.425156610688591 0.0430663002501421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0412057025535913 0.0428085712102351 0.0566865559199486 0.00939500723600324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0251219505333148 0.0267247200497761 0.0104865232698222 0.00379671991651839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.17530252086971 0.199194949412687 0.329788321956712 0.577641367211915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0593118708073368 0.0749205944683542 0.0317613402815132 0.375906852381309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0357479850334036 0.0429640301289825 0.00937146095408467 0.114721802523875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0317421706447179 0.0343676598087669 0.00519603517779049 0.0343707006449966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.18899172828694 0.201732081634059 0.910280643260568 0.763220253582476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0433209108473211 0.0476763078632022 0.0644989632632129 0.037667812984993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0230123056968919 0.0247974650087263 0.00692534353581732 0.00367220663899017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0189384128118097 0.0197422566623165 0.00520853825589623 0.0052184545612088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.564629092410639 0.571382655141574 5.84409527678404 3.41809943437578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.174360133879419 0.177892948791505 1.18407822667091 0.375425664553135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0831943405160239 0.0894035596706384 0.386755334426595 0.148039592545542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0493845491573425 0.0571144262744341 0.112170007666098 0.087398903448677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.3702473637019 0.414564752404646 2.87660133799071 5.10306222981936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.117144151342921 0.157159904868448 0.28118238978527 2.6328115074987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.063009713586492 0.0843561675437712 0.0752355278011686 0.655172451104439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0475359608616462 0.0604524942678796 0.0266369723728965 0.173294277077785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.402089882033158 0.402699306120333 5.63346040392292 3.14749352848818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0909032258820714 0.0964271985634615 0.360673405852085 0.244209170173191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0493542274453531 0.051312248272514 0.0836856977065909 0.042321839949541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0409649091539808 0.0396885727254877 0.136880366989668 0.0615581770310556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22370719535344 1.4018930329699 48.2180129099191 224.067575482865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.45939029644151 0.40926113809691 37.2804947842481 9.94952634585294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.300704649574981 0.208554127114232 50.675013588991 5.70415954154584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.257910531714101 0.137958835682183 77.9495820136279 3.5519256165069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.86013326299636 1.38538751509134 66266.0428841291 1130.58836582691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.585120791894192 0.552203526760653 583.891049212929 313.56338352174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.233643185682364 0.199693688854075 61.0166314034412 6.23534437263011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.102006377185761 0.193283804738657 2.28987175614176 17.9674548902078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.08587902015005 1.64047828553438 202.440080875519 3558.85192093322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.313590524055676 1.13872742615549 34.2199201430259 3855.45612102512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.63214475417769 0.359730195850126 48999.9610066677 135.071627212515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.99723657372564 0.131763380376515 3543.1128488475 13.4607913001121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.45415234425663 4.21540661963165 1069.17938604863 373.635387597583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.85275954402645 1.47033398564784 712.989348912013 70.5400870388848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.20741049011467 0.83932173164042 532.83640318715 46.6319708801915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.86493966831129 0.576185549996396 295.144794087274 31.8196835163936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.32442110174906 6.5884144289827 8137.82863472236 10609.9834180442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.25170729911852 1.70609063846547 1541.59905229258 512.445238886522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.19105818675595 0.968659009810951 523.315393412276 427.441590730576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.715766336262339 0.578657799327233 151.81309811485 78.5415311438926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.6148130121379 9.89904768559569 510821.193078508 79067.6295191442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.73916269575348 2.38463165920634 20982.4260187347 1909.89466762502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.893676076991668 5.99688683322892 364.974904706529 84982.4160221334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.746682573554055 1.33369062851215 242.488510772169 1226.7698486963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.39697911660683 7.36085864657829 671.41314501372 2307.44076281728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.43891741238073 2.91030892079786 193.766609057783 540.029539140933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.39705122025698 1.81975327556782 108.418665935915 353.692383033075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.970261563613658 1.33537983410628 79.2831280010904 255.435172593305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.01901923473329 10.4930522638474 7697.21251847759 14162.8657133052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.52566503605497 5.26331372787855 2123.29493196795 7761.46333246883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.00837933882551 2.49620926345603 1336.16792820371 2187.6946203154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.08753947767228 1.27304155887305 331.369846427873 326.114648672364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.5286419913461 33.9899261434645 1820740.37874833 513665.132469268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.59510587428926 16.4178797398872 102105.459763877 179439.897968931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.34679366192472 4.25088392740765 43475.9569549704 7495.66836070588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.05531835716826 4.25024907806454 79342.1179749255 11049.8786210005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0415904450714943 0.0313343086937452 0.00406572701276986 0.00636270132456997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0119030517803087 0.00905253564167967 0.000328123149801784 0.000453489880335021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00641347460233958 0.00508324566081013 9.88061811720655E-05 0.000113176696548336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00511281911934669 0.00426351805396726 7.53196974818649E-05 6.17302323989238E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0306941245914768 0.022834371227868 0.00304735517887103 0.00217397618766296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0138738272399352 0.0113747997210149 0.000619481337549729 0.000471382604506148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0113632083777337 0.0101914629844739 0.000377241484474802 0.000370369471252776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0118792215379047 0.0115294503019916 0.000402982867598594 0.000497870900496633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0289529269676493 0.0217014694171749 0.0031640335974489 0.00245857610302111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00832198893485362 0.00652224841742481 0.000232234268418037 0.000159413644358428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00507336219805168 0.00399278439638374 9.61651538273793E-05 4.22014742491657E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0046279081254047 0.00425623978231244 9.4026920850911E-05 2.98765002301114E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.109741257543373 0.0875781436475873 0.109965885408019 0.0669388212384154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.033892587215311 0.0253825562104867 0.00919623169754562 0.00450841596346193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0164474650268139 0.0123188889720629 0.00179974803082811 0.000935167694516113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0106232148678578 0.00807445135741409 0.000685774439721911 0.000343708516964491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0759638212826286 0.0565784161938707 0.0504905994294533 0.0309916803421162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.027092279357337 0.0213499136460478 0.00512723697340889 0.00447035471137879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0175051212405137 0.014189249408377 0.0019005940424821 0.00115239166147789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0153299186410172 0.0134604519670343 0.00120147605470654 0.000765823701723926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0708403900440316 0.058071207367057 0.0400628301568458 0.0404534756813173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0184993235638144 0.0139806708660765 0.00221707212957726 0.00133594893874526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0106632672523401 0.00766157882869291 0.00104657096563182 0.00032290584894146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00802266212475195 0.00636230261252899 0.000385884852741427 0.000160013775604669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.194290556932826 0.164664012884972 0.453689991191805 0.266720778974615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0617006633474696 0.0471969128760205 0.0383191764671951 0.0167561897307815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0297285543411391 0.0222335528213759 0.00727031074710542 0.00340806705587929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0184214055157706 0.0137580307476122 0.00257862437463787 0.00125465386380631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134630365696973 0.102931150356912 0.20664539656259 0.131460865632037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0449007017403516 0.0357380005051904 0.017514016068603 0.0199348576808878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0261894547621771 0.0209097539636156 0.00523796886349074 0.00474130333627833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206383715567701 0.0170986117552909 0.00322046629837554 0.00169698367944612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.126582212077816 0.110136148500491 0.158863501912555 0.178528943873835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0325338132736342 0.0244431042830783 0.00801487580936757 0.00522231361140885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0185323899775074 0.0129551151862828 0.00412889065293572 0.00121072707465549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0130312001965893 0.00967291502694772 0.00132256914841946 0.000614820849566676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.374682064273668 0.333766752887147 2.19949993883154 1.14306600759627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119503074440691 0.0952933532925201 0.195412149368489 0.0734757019707281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0575425747472594 0.043670968116209 0.0350838269100639 0.0145581435869922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.035197668446681 0.026241873009837 0.0121643731276603 0.00551691150651629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.261374944512111 0.206148563169854 1.08423596014838 0.655278301222189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0847169826155178 0.0687546230283248 0.0922654748318588 0.110030563260517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0457128115612995 0.0369093239997558 0.0198057521282938 0.0262524077534257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.032964805591482 0.0264901789695532 0.0121653058422706 0.00726740802585529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.243911349636418 0.228723145827501 0.669941970525315 0.973622925287674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.063383474515734 0.0486879308648843 0.03817533906016 0.02824561856664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0360641520997066 0.0247273109597019 0.020552820752221 0.00582787180512683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.024444237144088 0.0173164944319109 0.00697737502166698 0.00302399868808918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.33143339840388 1.07759547228868 210.052835608212 12.7361762489158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.446081286649422 0.350378747503598 41.3748404649241 10.7061377125436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.235572875889776 0.193582002147256 18.5692586999804 15.1956574363301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.158672509925742 0.134620826792079 13.1819009749874 13.9984104349383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.43810574101063 1.46453587517631 2652.34152720138 4390.6526660271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.439612746529095 0.406667703409382 224.381317713935 209.370344293633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.145396414453134 0.224251701688346 1.30459276062695 77.8045426366915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.095341810491286 0.159518456984543 0.475541768134751 32.8931144541584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.71706606924148 1.08878051704293 6670.63628706898 878.526896729996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.741292717405264 0.212013366927452 1387.37450168136 4.88205741400421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.221328223193681 0.439281768697545 27.7341053491292 794.487002737588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.200491854491275 0.069065068834909 34.3881628099555 0.52886670456252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.130610753472 2.29199065479802 180.505004866577 915.870666865859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.800903575072221 0.875443363586914 73.5063653003388 546.594345568323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.448522064631223 0.456568967793848 37.954784945723 187.442834884953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.290003825625131 0.265995924895507 18.9325983876736 49.9550306627639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.03577131418771 3.2858784847669 983.557270741509 17459.1962649232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.68398557550492 1.80319264849517 5329.08210112838 8154.19987308762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.6398448243987 0.332234630940874 616.302085329688 31.8058045613774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.370922602586949 0.186792578078731 136.167523634548 9.03363086810083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.2940435476616 2.25788709553545 19035.4258881429 3041.87240793074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.0805909867613 1.00945366207629 539827.570742714 1527.7239813377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.68249825665762 0.495732788105706 745.311316436407 281.196088654079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.981753689243645 0.271699644845758 3156.21914289427 34.8786495875315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.299964599269558 0.557612682832954 1.37864441035533 482.83503723686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.100184524741473 0.14521278067811 0.440555531177593 35.4432247957408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0484325759452033 0.0704828954994881 0.0825021837972177 8.92573857853539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0285366881870976 0.0543508340531933 0.00891613991584297 6.43998001510882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.202730651501265 0.605522422779929 0.555983226184602 972.293803193787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0646401280122377 0.180799689218448 0.0312456680594458 81.1308246192927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0374452313829567 0.0489515027002623 0.0140234442505116 1.87531709452211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0274120035732636 0.0384020807785656 0.006487233203593 1.29056519056863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.907877079672722 0.168685979416816 3381.2873525456 0.649241141213001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.108126571034666 0.0401529401915766 12.0702112518148 0.110423242052445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0466433069700298 0.02932256427647 2.45536663903721 0.638668293087806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0685814314245188 0.0166518540950157 11.7624084688081 0.0305690183406222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.585155272929948 0.538377426682969 5.41379266657403 5.77696968844502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.187582273937389 0.14960181370841 0.464918031234256 0.228798449836581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0910710304519447 0.0683894242583056 0.0879279903945809 0.0368764922187593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0547118457706507 0.0409813572643873 0.0237896745041812 0.0128841457659735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.407019345497928 0.369122194714405 4.03955686825424 8.04245421810234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.122105552365291 0.122456610637895 0.103551887109338 1.13719657387594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0682914216579606 0.0618122991231217 0.0368118983457685 0.197015347695337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0468375114257464 0.0432416067601839 0.0184643653674727 0.112318336356234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.423069509306088 0.338531884619733 13.4374760808969 1.15218812240667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.103544796061286 0.0729172667599778 0.180757505648005 0.0694033181645459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0568304769603959 0.0405583795805884 0.0693502830944304 0.0508667690967633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0404351071145357 0.0277344639645684 0.0562861197129303 0.0306437228548189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17815382114204 1.08494347365737 23.9960528771275 11.7175917447521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.37647085064104 0.321627206295893 2.66874176992835 1.60316950326709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.183959447377689 0.151022999418996 0.651415597522838 0.629094470950248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.111403785723041 0.0902999930598802 0.235400331741931 0.223722231240308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.831183434541695 0.720325437056741 25.9940900642423 14.3215657466314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.24719470103489 0.235268233897493 0.702660161504443 2.36971005236989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.139029021096066 0.118826128280586 0.287963727800245 0.726332888632429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0912543784077547 0.0766591258220795 0.157226266110692 0.178995548132467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.800613428406116 0.737924745834269 11.988105469017 7.53149686720816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.20719235096609 0.146640288618484 0.834207108041597 0.184282245952706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.119364171173524 0.0821213824185078 0.412011096916553 0.0977358853198992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0879809880841579 0.0516591514823472 0.505629804276735 0.023096573038017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.90604104245918 3.88253743896701 464.743170016922 229.758869346151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.35962006025733 1.38532411581911 113.651083209032 80.0570974271373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.728314301450942 0.791179535529793 50.4866071528478 70.8146554031398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.469939838818547 0.555697594350289 24.6476838737317 61.5062697350772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.68225086000417 3.35130229880933 18584.497639758 1251.70710132488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.51778842561219 1.49597620255149 1023.15928963425 707.856856025924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.807990810815397 0.863369229703788 252.735700126896 684.903828426306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.578372563872554 0.449785734428513 106.032145232956 81.4154097677145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.60667801345683 9.06389711823265 807.01105204953 62439.6028037834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.56073184243531 4.41907270602626 2244.95781340424 53009.5341220394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.46126153310131 4.07143741348864 1420.35008647898 43269.3440136382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.608547185315659 0.458220128191377 95.0092902431953 71.4951613785855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.87222693652203 6.36977304087179 1572.28647575954 432.497224499293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.57530580491827 2.40982190639205 286.62994790817 153.27342384895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.48976953686815 1.47970203721921 147.835644366709 147.927159761035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.0209032458991 1.13989280641817 93.2842075306816 177.980840494963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.83716833410454 7.38213814851829 11353.3134490487 4623.44703233481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.86045053536276 3.39882155297233 2645.43692203307 2423.38544721869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.24684984255342 2.33868268677366 1167.75946878846 2468.23443012926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.27761346548906 1.53603078593283 399.278226278243 983.538508573388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 22.2879085138283 63.0121118164816 407783.083021512 14289903.7021401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.21979957956819 13.452275872315 3817.95308015208 279949.233759194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.73049200020297 5.32778025314496 1529.98814370592 16240.0367394455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.3313546354155 3.71732667342888 13624.1697190036 12599.1476449046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0321344062288932 0.0361557633718315 0.0028243178920929 0.0076526385406739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00916579669302973 0.0104321461841843 0.000214410898733769 0.000554101311377599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0047720003989458 0.00587455115343556 5.71320388709959E-05 0.0001352660526877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00361128149321968 0.00498980614763382 3.71558036772517E-05 7.33211108246403E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0235105940714142 0.0276959614743779 0.00205448065726894 0.0028753099797628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0104145515281092 0.013022853736549 0.000390879384572458 0.000552233417017125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00835429029695435 0.0113767579591081 0.000216338337654929 0.0004075005117388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0093629999506833 0.0129926387741176 0.000303718765324384 0.000559186276679625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0217824800497796 0.0250721240390583 0.00194155580776176 0.00259221790084984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00657962714946973 0.00743706796366327 0.000163626528976955 0.000175888692930499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0039976275590689 0.00467418627778474 6.4412989155515E-05 5.36180657249796E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00352251545657349 0.0044174261627778 7.61477210246473E-05 3.34384349593406E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0854890615800022 0.0940434960104352 0.0439816951738322 0.075563046215638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0259431241015201 0.0286293039916246 0.00398985015886541 0.00567568413707502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.012411017561213 0.0140116741906016 0.000752161871031002 0.00105380611004588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00783974412504155 0.00928167952807579 0.000278982382722272 0.000364776366680474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0565664767466853 0.0638873721827363 0.0198885617945419 0.0406581442500115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0200832409159879 0.023368433850441 0.002432363866906 0.00517423574796602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0126843975387405 0.0159335217860049 0.00079612015412225 0.00153640956073108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0117271425394358 0.0152387332921189 0.000607623790973322 0.000990387651586771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0543365782329093 0.0577756236593971 0.0314048155090083 0.0182747768306628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0140599910817167 0.0152919834868716 0.00136460368222085 0.00134967236898155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00761613609477009 0.00850080375743155 0.000328791866236783 0.000358961636235058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00583214731227281 0.00695811344151144 0.00019785578921787 0.000235600505420941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.154745490281539 0.171059284068845 0.185751324235879 0.294218903946324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0475648504470839 0.0524160632386397 0.0156595886558329 0.0217030140403526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0227017323151335 0.0252127330068207 0.00291272267813202 0.00389837680022605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0138639497747789 0.0156836800939128 0.00101534752355173 0.00126708223119806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101848724905058 0.1132198027696 0.0823638567186038 0.151277742147454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0341426594364472 0.0380017837358406 0.00949687090271362 0.0174771680504787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0194491872921911 0.0227991293623537 0.00270107640071332 0.00415044048786154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0157394169440401 0.0190101872887135 0.00146660154883745 0.0019956701035311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0995239141956028 0.104585094626327 0.132058080039165 0.0712492375081237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0244797002249444 0.0262939066797731 0.00530118129063762 0.00477497347388044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0129192188216223 0.0141423896713744 0.00116639768924576 0.00115665300208179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00926159166167851 0.010850598480611 0.000527941873614546 0.000945163430204574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.306326251081647 0.336012351720364 0.86207442626415 1.43886556919441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.092577257744335 0.102877415228484 0.0690863648167211 0.107738451261817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.044200147854129 0.0489378490438049 0.0121166174795506 0.0178497665872921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0266796297224607 0.0296540812683961 0.00412423955374025 0.00551384406432285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.20157525612115 0.218288981542555 0.482192147434124 0.61763460232304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0651430206747066 0.0701571243063526 0.051776768729534 0.0678278440954934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350917550205649 0.0384358498608032 0.0136257270003291 0.0140022403045273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0254063086716604 0.0282045458307376 0.00597326167299541 0.00564098857170206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.201396313178125 0.208192658123946 0.634211599375821 0.349015582499507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0472212549686375 0.05104654929131 0.0223921694653077 0.0245431192944737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0244327915528861 0.0264767549867688 0.004523958352337 0.00460032466928282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0169302145250825 0.0196888611826736 0.00190037949883483 0.00440912951063849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.0320987479499 1.12209008730284 34.2612669725467 141.658671333517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.32385626455727 0.381125507522426 7.87377280700093 51.8921013207402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.161625856311201 0.215969013403924 5.14592462420374 44.5151773660235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.105567427938617 0.158168828098668 4.50499481502655 43.6041828870568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.009791360197 0.678201365887401 231449.456939358 7.85928205755888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.890798755205772 0.212855529826195 2026.26607911525 0.778479248694383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.268578347071455 0.207936996473596 222.590949441884 77.4995889482673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.170487444836152 0.147569654929109 82.9620683829839 45.2664877877221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.62946402256965 2.0045059683837 285028.011233533 14494.7596270007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.0697733328177 0.570385704900147 68792.8190477017 1265.73573311814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.26089326808458 0.0841757325904476 5576.43072336456 0.0837792184585318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.320774943845928 0.0930996035036312 550.822482789738 5.2453305606187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.9360103675545 1.90115982137988 164.936565709217 106.840331648215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.60213761729576 0.84015462101461 25.676502332022 465.058070515155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.282668225765126 0.556250087512863 5.83193138025692 402.360113037103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171086504424675 0.412733879153909 2.17554213701357 275.118141153317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.97695320702585 1.36368865137025 242327.198022836 155.398866922308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.15688698048589 0.557472448354503 17011.1105004553 176.660895095132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.619865336847865 0.342794099846871 748.837449284467 129.001446084978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.288575929528231 0.193127470438391 107.464744592127 23.5349011346502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.74713729758661 6.16219692172107 4766.48463685373 145223.217766831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.19735095639066 1.11724898793194 57474.2059686003 4590.94551609252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.985833877428054 0.735214243292164 3904.15782316832 1839.88556050431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.154308918912447 0.974913609819815 5.01539719342338 5238.24580128961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.357175211420437 0.363003018251436 37.6012573977221 26.5048262837213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140555429701499 0.107058559635309 14.9962078959182 1.93090780105818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0474869179167717 0.0755331783093608 0.469883587482439 3.23805871762749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.025857497014466 0.0676401512626939 0.0541924723683884 5.00304268699752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.31812214824205 2.12170434454617 6812.99725052129 30196.2601777502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.360725183051665 0.35344421169213 447.094257605475 677.178750519172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125675594665904 0.140788569164042 52.3736612064656 92.7237651842638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0497909485573547 0.0882276646903676 5.52749573087836 30.3799662944191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.45589809801835 4.2222058754967 41845.2987130684 118281.603540635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.553164038785194 1.22197074539401 1778.72674411694 6519.03553672657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0529656975687186 0.223861672729945 4.62668085187523 205.524988163448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0898022993655487 0.0918787452452652 22.4476904860391 41.623223210051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.543551359150175 1.34763293530612 4.17765377989705 3933.22096471835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.176327937624253 0.790643142487134 1.1636465875588 2827.15223403054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0841790657728241 0.486695153337237 0.48367154734396 1237.59097702184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0522987991355825 0.326751941937827 0.38043343230561 582.358999516696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.76488913712754 0.403295213424051 225484.794429544 8.80848688542532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.279376714586604 0.136449457228622 134.126850926678 1.44078654470587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.160291893557213 0.070201274940088 52.4835052389223 0.382550838771717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.101277736534491 0.0478872779335334 20.7980525021246 0.154520941325198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.871626908294075 25.2014661858405 1712.02144358518 4824332.45671791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0929156409147638 0.7019476912944 0.787977376706607 2696.84803647127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.13757828512572 0.073285662827579 76808.1465023573 4.35732834079702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.053909764398121 0.075659107202383 1.19877105390954 6.25012075316635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.29690374075015 1.40710975888149 318.443543063801 205.353679930316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.439995356061996 0.510042561750804 87.5743317784318 65.5385442053625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165993690074239 0.367444243532618 0.729060371098188 122.034304633199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0983425633563749 0.326031934820851 0.195582402339486 212.290968725622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.794591301916042 1.57249472676167 25.1585466507318 2535.86720880126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.70840864896996 0.393774343638593 1764.95309678848 91.2397379687288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.342924744381961 0.202402294793425 377.336044096885 26.891572399845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.179910435012642 0.129394248149245 72.1494749345042 9.61276909335718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.47760974014868 2.24907403591919 2886.84656033551 15588.1885442369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.428305034707201 0.215124741342182 396.953769209232 9.7292995076587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.37859642665974 0.159180636785377 519.285975541517 13.5125117973536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.08004591137094 0.168665536459661 7407.25169264006 30.5086973776939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.67102379137087 4.12470412239563 224.800688017715 578.877406719997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.20299931940895 1.40542964343928 40.8500752363449 77.6371047282486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.619070588383657 0.756057371572004 19.7891999677787 39.0299611133651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.400547254840943 0.512188846986141 14.2805665167968 26.4286489660092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.28934549144301 4.12423409762116 24666.2065270148 2822.97520135655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.64318472659436 1.52165517324718 51761.5828503447 611.389915945192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.542491659456637 1.27694212743723 39.1955796717151 1919.06399344782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.468699507401625 0.479669026415988 91.0700851713748 38.4902910169463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.27348930678611 6.55390595298715 5105.77499767595 39459.1000121804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.53612556093177 1.36753009519304 23499.0430377439 1947.01595730982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.46326120868583 0.681539349046205 3559.79423784377 146.197343367733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.496914401738573 0.416872600500897 89.5285180903252 39.4288546876951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.20980032454909 6.55568403348862 732.508203945125 598.877588763427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.31015471031645 2.51592759024647 179.712693690031 263.301385853536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.32005088216733 1.49546560895427 92.6348971585731 181.120233250031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.934501360811395 1.07937026474142 62.4131385840345 138.228258388164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.29503537142266 9.33893015487172 14881.4346391171 11809.003261945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.84447080231307 4.59057441966742 1269.60329788404 6320.57072406253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.68512855215832 2.09215743165192 558.862625200359 1218.52450779073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.13455189913655 1.14163219071294 274.419603317324 370.987967251884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.5762192777383 49.1348125348756 282295.72957571 3791236.33415655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.80530617309132 5.33310915161249 44748.352273082 8426.47919893593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 18.2161834646159 4.93719035500533 656848.447117514 23258.8725846784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.93285333001217 1.93459504623692 985.120194960371 947.559189888698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0410338089793041 0.0430026845287666 0.00427952744608903 0.0108666995635843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0119336996817452 0.0124109934639137 0.00034317980727656 0.000793347520768845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00680857162796019 0.00667685101240007 0.000112309935104673 0.000187037122292741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00602221187445389 0.00544012151002969 0.000111463954128302 9.06935141571107E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0304838822361998 0.0313620939242188 0.00338348983734229 0.00351685646843196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0152552207053821 0.014366064931603 0.000753367525644079 0.000655747234855785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.013950594138033 0.0120045233567866 0.000537228038361249 0.000444180911886234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0167748299506451 0.0147031885356412 0.00081205546671406 0.000739559197036094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0284091398708479 0.0294598586275381 0.00313835511630871 0.00372567089655247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00843258098708362 0.00858584466657018 0.000261727328007221 0.00023765355138806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00556771116050369 0.00519764470736031 0.000122813689665761 6.80330454912431E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00590447794171881 0.00489489821107081 0.000149429113979493 4.4547565248795E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106667352754048 0.103975281641813 0.208275728528054 0.082271446793022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0307468105302095 0.0318896025881631 0.0126655233276526 0.00760308092248256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0148381098862731 0.0156534449136049 0.00213786681388768 0.00173808725502639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0102239457242358 0.0102842957663063 0.000781571897875923 0.000616915482650698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0693845577520474 0.0730668096712846 0.101386660311086 0.0666377805350404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0254577120611029 0.0265958549700828 0.00546432829202608 0.00770246982743573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0180180194915634 0.0174478927063714 0.00155786902960351 0.00197167169493602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0187986414688366 0.0175396848228559 0.00126723012071641 0.00132057838921216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0681270371845284 0.0699103045007677 0.0739199178446226 0.0683753543792367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0167715471817534 0.0172623870301536 0.00226288638660372 0.00229547222165685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00961269121690745 0.00970326989080102 0.000818154778469414 0.000644869373010846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00840064405031027 0.00755797532356109 0.000489514684845336 0.000273846365110318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.194855617116865 0.18715652336778 1.25530748669006 0.324512841130941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0571248542836746 0.0571732349229984 0.0793706611396812 0.0291601534665411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0266673787453286 0.0277490876493768 0.0128148455420652 0.00611509984434217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0168661567085032 0.0173226038975807 0.00401120829003818 0.00208809299429645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.124716725374945 0.129848573590723 0.597272062973648 0.3259981093734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0411635678307974 0.0441407029553858 0.0253354413607959 0.0398607127024341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0251516552904268 0.025566972125723 0.00568991725218654 0.008489649185062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0225233487913224 0.0221464341508801 0.00293759358317636 0.0033025471323637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124670331251769 0.126552419476711 0.346502104358104 0.275297490292368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0290013918623806 0.029346617103565 0.00909016720648407 0.0096169015543596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.015718181096889 0.0162531895034744 0.00421730530243586 0.00354122647234923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0124402637863113 0.0116785877304653 0.00278482859104814 0.00123993253679455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.405983163159811 0.370269345786254 18.4994152132039 2.09237027316953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119627152961081 0.114063552118796 1.57782322029722 0.294192402060915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.055283201006488 0.0547628839688683 0.282885077789333 0.0606841765819433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0331660947006246 0.0332212958899535 0.0740278291212576 0.0123433850213713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.258643496740337 0.262508063842293 8.82751255064679 4.22554941240861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0777956904484041 0.085975129472164 0.196950657492765 0.475278807742721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0425586864245235 0.0456391867715462 0.0345087645335117 0.0901634717242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0328432802870125 0.0341194622716 0.0161885260190483 0.0231431750423367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.260152247798306 0.25078362651487 3.62322177646057 1.23597777316092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.057852162491121 0.0565804642140345 0.0736933283408715 0.0609611069394497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.030757877557425 0.0313002156065207 0.0627724422486101 0.0393104854761037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0244974589535193 0.0215151936982136 0.108390566834171 0.0092801057248974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22657427915978 1.45497716497581 48.9361499421909 243.788126584218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.378403602286608 0.485409015392893 8.50636513339814 82.2811771349507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.198633004406002 0.249268471949529 9.71644334333247 40.747687429266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.135814167800148 0.150992374987155 10.4553877639569 16.3309921104844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.66766476331904 1.64696398088784 5371.8348461446 4518.69624018357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.400824190318407 0.373574946673055 128.717120791133 93.1351163774066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.232487086056211 0.139109583284626 40.2747598663706 0.787612260927961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150290551622083 0.0894424185145179 16.4492255341667 0.171390664736937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.21191243321595 1.43775236163317 577.352321823879 1873.13380586453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.424474557173626 0.451691191460656 338.184773967655 397.071712764154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.127779425432206 0.376743499018346 4.03572072366602 527.969210653542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106350731692054 0.343545507661582 7.4199551103058 524.749967501272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.2452001777366 2.17181781487692 231.921414397324 119.615330419792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.857341924078064 0.776829072378667 93.1435449852083 44.7981774201866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.493792821186717 0.417915996672157 52.4767749853013 25.7632328583349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.327072988566876 0.257299959586602 28.1772662086143 10.3070077035546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.2909243036922 4.60176903560729 71672.4673267293 38703.9047341347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.54768037899998 0.655707803252677 2352.02918402976 75.027764053794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.712410995249164 0.314255176135273 462.388466793835 15.5391273541907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.397109559741018 0.201050179172494 115.810431738987 4.08702081277291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.92135049403701 2.27405852746688 61469.5219405549 1215.62155170855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.00979793099278 1.0784214947117 2042.3429339663 583.430102092921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.898997544176586 0.474924212641307 1210.89371438463 153.547185028585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.744196849165632 0.635340279891494 773.49349688841 1256.24262405806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.376666295367557 0.338367919063813 38.1002510805454 8.96244938663814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141708944499366 0.116586257587266 18.555491001334 2.77792752419923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0797686649816282 0.0642207653426158 8.69545774106699 1.88968361117902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0517740984334745 0.0440230893823516 3.79886822872489 1.50808273645468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.33769232231952 0.413612799336826 182.431283753 181.561603003935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151239822842056 0.0973247016109655 62.8913532617386 4.77611227320023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.041818525856321 0.0580060246693869 0.189397869869403 4.44244606053322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0355570941497712 0.0507180627162281 0.215740612106836 2.38891866619624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.271180254033438 0.305302713864843 26.3465059701681 23.2928321289922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.136744858948159 0.060384691124519 32.0246954548709 0.569135089004971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.106639748863249 0.0317831283803921 28.1830199221729 0.101163650885586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0424894320328102 0.0279657388017113 2.68075683877966 0.344862256631142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.607847930638511 3.03933718115674 9.5039070078437 47812.9923067603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.187444073842267 2.27773547682658 1.44375373863581 35321.7610789063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0907504928040643 0.684249695221618 0.551788146771094 2844.20430669137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0569084519350664 0.140196528507756 0.282989731880732 58.9549234954023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.404820354203484 2.95303118330941 10.3065608969705 51633.2779932932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.314241415393627 0.130946047981972 246.905126691608 0.92400390702639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0747886748193719 0.131916693773842 0.527631067752419 34.7423935236373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0507759068234676 0.0894016638784269 0.112579841652429 14.346827748892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.38367963462912 2.75662825453213 3.06125952661133 43519.5074021826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119281546779194 0.278239986209149 6.24380648093989 252.284366545204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.054825753111275 0.272844403246742 0.250522635385094 384.320344613209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0474265715621022 0.11742106592045 0.701016314403765 45.1248210957778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.25751215506965 1.26278399788897 27.0268983186762 23.6986480916651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.376931910432903 0.401811832065335 2.43903084578326 5.78339431988378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.179262410286637 0.199798369551277 0.782545698240035 2.92151273057093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.110552015018187 0.12671026392382 0.500145110302032 2.36281074880208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.03913605705974 0.971628583316859 492.92643049811 215.938860853954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.439832585102611 0.247785607086788 174.032350728834 0.806481861066032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.23160914742212 0.130563465266995 44.4717252394906 0.229688260352943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0909422011467876 0.0965601621801004 0.190383082975879 0.487707119069571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11054557388454 1.01610518454088 921.11391807394 239.567838458287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.206594560746376 0.406330646931621 3.40446721990782 212.767948173424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.207191530044889 0.10621964043882 57.3650129713551 0.257165476101041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.235265544436567 0.0714646405581523 107.876714808834 0.0768063069507086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.64972974195151 4.34914991750572 1186.28771325911 573.574509512439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.79028311723646 1.58666510136155 401.889161396306 177.855769499397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.02008915670332 0.879463007166312 195.727133165519 71.6039003567698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.719580156412728 0.607942965753037 123.193179454654 41.3300001315232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.43955481902838 7.85281007521944 5875.76941287967 22283.5259308465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.85775632852012 1.75717396900096 9684.25152307274 904.857530672706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.73302381223372 1.11599134978317 1596.13842297585 363.974872914579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.939813625139774 0.650211113857647 349.376586684115 111.35697037092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 22.6309478099425 12.1077610016949 1170385.51541263 86852.0054129004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.47654179528868 3.10360939634179 183194.578502558 7990.32220323052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.83472421634171 17.918782639953 74947.8370641955 1795444.63493025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.89558504904321 8.35520455093016 3353.72429154825 219752.316090919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.87801364294717 6.76391447440875 1019.89545136936 1028.47986256405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.70654523991632 2.45254276657913 429.392417196463 175.127660583403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.58955463396633 1.37837349588444 286.649515635546 85.3258088613721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14286942264642 0.940629357567539 224.179232550406 58.7937037794445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.52447390196753 7.48252353538919 12404.2006912078 4631.81970448543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.43931830782188 3.06297481917869 3904.26740315916 2025.61597744295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.07632954163612 1.71267394421493 779.411585047695 762.915053244764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.11440316054241 1.15757852756179 200.421647624561 278.019738307765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 44.8115701559624 55.0449352613536 2496948.5462823 3978747.20831404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.43125273604493 45.623323418531 26213.1027356808 8877731.49015144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.06728649223376 5.34180553336338 22036.908156344 15933.197025496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.17291214320623 5.33765990739404 1565.58883930717 67058.5150520753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0512854278373201 0.0488886886154524 0.00652257708984917 0.0147605148234958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0152808204756252 0.0152096467433173 0.000570481878162954 0.00120068295857694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00883639544959298 0.00966384188285849 0.000203137995410775 0.000344092960018236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00787027093493915 0.00938550075468328 0.000196104259424124 0.000220087158642295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0386802912092316 0.0357985378114864 0.00513497994974553 0.00475886191202753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0191952804413998 0.0215081739241042 0.00119269898775976 0.00147609762661351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0178913540214378 0.0221313709113344 0.000911975599552025 0.00155364547087681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206011474343111 0.0261191650024512 0.00109082022794693 0.00222395390522254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0352456060218022 0.0334338127021583 0.00495730572500675 0.00532741191522629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0106771915011796 0.0103671247350388 0.000413235786518491 0.000362595598740693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00716965549366839 0.00827555674684501 0.000202420165905157 0.000116551664664837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0081784835128801 0.011048944730516 0.000284620870157342 0.00013235200795704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.110067614241787 0.104747481338718 0.0885490501310763 0.0899022426294301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0340511663401785 0.0318157494714129 0.00694694548033622 0.00638136334379077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0171477595072457 0.0166389700167566 0.00151529291445077 0.00135519161028678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0118985163487696 0.0127818098338897 0.000574282580371934 0.000565284877967627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0731875438829847 0.0718548520418597 0.0322410321287813 0.0382991179867973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0291814506659328 0.0300714539368086 0.00483432657923883 0.00425783769762233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0218690876116582 0.0253536262742228 0.00196561882341599 0.00238154736583274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0228693595349453 0.0279175384471723 0.00171718733691502 0.00272444957805137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0705874372411162 0.0659855825366006 0.0488402781508295 0.035625830807629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0190056396449745 0.0179976029173536 0.0024519021466477 0.00218444093137296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0111109144317667 0.0116069992958003 0.000762025865699148 0.000503812721891222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0105734023123119 0.0129679199558937 0.000592285069944414 0.000397441185352083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190121434035168 0.181380528005689 0.3780096058025 0.314167115197942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0596042453543344 0.0550204636882403 0.0287209718954933 0.0207525131139338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0291509587873907 0.0271993913444866 0.0057460814049024 0.0043162140771428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0184423803627432 0.0184578334846326 0.00169736990020093 0.00158828742988297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.123331103565252 0.123212580421993 0.122595693196209 0.152478845765963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0438166085422651 0.0445184077091921 0.01507748416326 0.0141926902212155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0286972923012253 0.0316630735980214 0.00496720849149231 0.00529350951365418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0268627942001769 0.0315643554717021 0.00313812159156717 0.00445657284938485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.122322311475431 0.114726064208886 0.200436062275698 0.137323235549358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0310410277128705 0.0293505035708238 0.00847619414061579 0.00767389529955306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0173107201412678 0.0168134387407066 0.00254592890823227 0.00134562256675222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0142307481992747 0.0161029827400415 0.00129156806795448 0.000955816658855899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.366142594961116 0.349799146802348 1.83592810394456 1.30071012243496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.11463047082629 0.105766804184937 0.150842081659101 0.0914426178792292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0551458100605496 0.0508677646927461 0.0278442719995094 0.0173073498089039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0332811784028277 0.0320512723017424 0.00647931551869809 0.00624613609574809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.234970967539989 0.23743408190326 0.665129005464947 0.748540726832854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0780242774559216 0.0783782130066046 0.0793074017967489 0.0676814865397053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0449551284833939 0.0479272403806144 0.0212815346593985 0.0208972197259283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0367217307178649 0.0417206476909635 0.00891239864514061 0.0142527990483377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.237240009192628 0.225316616813349 0.928521981281305 0.597009733635613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0587064663236737 0.0555579462604853 0.0392456924701552 0.0358092823177282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0321795419111064 0.0297613877429209 0.0136429138242652 0.00684282551144249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0233535401752434 0.0240756072490124 0.00488634953619412 0.00397772447317327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.26392489733821 1.15139426647217 79.4341891904853 31.9689677958395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.42667249404489 0.388541175877252 16.2152943809487 11.8326578898722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.207513935276561 0.212311536410166 3.31538802918444 8.58551582738802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.117967494500197 0.153293130865717 0.792469591237793 8.04489441711812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.23220787840915 1.18441297517868 964.968547921256 519.826656187304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.397142871696831 0.424832717481675 106.812909171031 141.961873546204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.140301395896776 0.209983824071012 1.47500662165794 19.5261158261699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0975574689418329 0.161243850898868 0.452763976517102 11.4484029858537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.22976545534037 0.947910444544999 865.866610730789 201.136822653989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.262523947273303 0.905077467877577 17.5150330071787 1881.84328396597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.472063105896827 0.308941445194585 722.126948801923 183.795615424814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.89894617079469 0.871227017043618 760089.001459304 1932.42409023349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.04147420815126 1.94564868855299 108.327332902111 72.0358031974223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.721749770568662 0.695576165394385 32.5162593297271 39.0068268971651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.396841569457114 0.397081003691721 21.569493205691 26.8889506055824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.265538207938631 0.270368800955007 16.2905525917398 17.3546073267139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.96443867462525 5.31632286385233 5720.74569434351 53359.2970422181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.753447600072934 1.12004401029142 313.154464912432 1623.90812706336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.428450270477206 0.480540805252807 102.144929619342 156.355548504613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.257634321170707 0.308545488572863 29.9527363476053 32.674027622741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.7814751172763 1.97007232871016 1358156.78618184 921.74934679747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.84339244139424 0.521624884838245 70407.6682078353 65.4705871955395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.01193298013506 0.563005123355728 10079.8418561439 372.917787042208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.890453072795806 0.360550126646198 1267.66211042336 102.157818587501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.281401735605207 0.276167877321215 0.82556585489658 1.41013260029883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.087867349607766 0.0841527893174622 0.0632086460894656 0.121284469127892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0423619546362762 0.0409339352842376 0.0125665649131133 0.0237914632598255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0265020069543985 0.0260150518860031 0.00438881888474706 0.00518760079654839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.190103421611278 0.173726763335024 0.456064453050017 0.283139518009768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0659087468629097 0.0604879754561026 0.0819792153226958 0.0353321201676547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0396731489115344 0.0381543320014579 0.0271436125981932 0.00847273571846767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0341433552591568 0.0350341262133115 0.0182982210778714 0.00577930593886751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.183015532043443 0.18134220553829 0.305653110086212 1.28346568276651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0441001267589206 0.0406852783339815 0.0204304254774586 0.0120594069612465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.023881334464236 0.0236676974354855 0.00326530592043345 0.00463801552452724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0197037181887045 0.0200391140836157 0.00547262117389323 0.00174278529116742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.567743563028721 0.590591789229013 6.44839377089098 21.009160275674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.181748992628794 0.194871128808156 0.93860910218552 10.0642253653133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0874799809577336 0.103695590972999 0.20298796490054 6.23531323755745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0530088962136348 0.0693666444113565 0.0585983882478601 3.78976869525351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.493737156002612 0.355985925909658 101.181682709564 2.6707805457008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.194036447116662 0.118188592801972 28.9248402811827 0.381051292203824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0989008110427105 0.0652870932358348 6.2495728686998 0.0621595932174557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0753094209402272 0.0506460186576436 3.30585472871852 0.022069523211137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.376949302681397 0.492094057301422 2.54474378625552 144.530679484522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104154345586836 0.0806881660392562 1.39161082511418 0.127791015566691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0529270444831366 0.0451528345276032 0.432765530452339 0.0222132805758485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0556070859754483 0.0356192333003399 1.7408922451845 0.0309575529236522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.2555773553853 1.31177507719931 126.635637699785 204.392489932642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.455822658813347 0.442555813945579 66.7723888509971 39.4480953914084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.271989050492817 0.225624027846097 63.535998806384 14.8778119007412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.200195579710263 0.142444120792185 56.5709461103156 7.35713934121561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.921037492073943 1.07068718479812 62.6529970758352 465.144441163887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.329707749724146 0.356542030735573 17.8706516040012 61.6943352004561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.229593226917935 0.120725786974758 28.0326793817668 0.227317481742491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.126343603219123 0.0914149728911743 2.74168559991687 0.36041107006503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.797198154822665 1.15698317443441 14.7942892949446 562.762952656088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.255141531092586 0.425977356804614 24.7722153772002 361.759377982677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.145844081522484 0.140653063360453 7.51249651883202 4.28116456333951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115761622143934 0.305899683240507 8.96360014400956 174.25330203867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.07269751752509 4.95078826057237 526.108151063126 4194.18845705143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.68058319212304 2.20940849308268 241.215562493232 2474.98973334933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.08415238255711 1.47006064069051 281.127433022042 1902.52118634708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.791577324044512 0.959962153069798 203.206898968912 732.014768112548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.77608776262051 7.54798361619471 11795.3110411878 23377.3011329166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.13324084488685 2.27622830208535 1195.14807062403 2108.08465448478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0570104262039 0.90882421694832 266.387084813072 283.758582837624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.612460238758512 0.470994955480044 74.2311215981016 49.6586694308734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 30.2172243639994 11.6618886261232 3009479.52920058 106287.066879123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.24879604466809 6.11666796074733 59851.2419125361 75701.5174737661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.7589240125813 3.24922371232005 147072.895207829 21129.6004905645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 21.3069565130208 2.27281851668019 3237142.93417206 7475.85636722729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.34599317651708 6.66546669050046 1079.25101271312 1914.18966910607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.4900583474913 2.66628591484629 490.03339025168 713.419934618466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.53626151135543 1.55669731937422 302.042953000535 351.664018250461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.10128495720029 1.05470924602977 200.481767831276 164.218529121957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.19571095289661 6.47900691113446 16360.654116137 2936.44544970347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.7660703825122 3.17752595569975 1148.60870724549 1797.48184146152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.45961082513245 1.73630168375919 378.725109039377 824.213160667022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.846273921359253 0.867652046306613 78.6666001163687 84.8861621483696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 30.2628946135321 19.8848157279396 880700.538879561 267367.010885427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 26.5079380438574 5.08697482972043 1128352.58388842 16344.3538340749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.09682576545312 3.54436586661805 28308.122248802 9098.80305364845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.63325188451651 3.99062309093567 669.327608375483 14971.8924801763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.034362456417512 0.0193567906360698 0.00318484483886107 0.00204902880513461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0107062831086688 0.00536157816015043 0.000295116742467088 0.00014358090605307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.006879844492564 0.00259237449851884 0.000132052198032752 2.96211253065797E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00692940275433876 0.0018784771042437 0.000177514019810674 1.24036815178867E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0263976357453718 0.0132094999713423 0.00232642458347713 0.000552930426346088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0154206338405646 0.00553036623441652 0.000745265185601506 9.02104009713676E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.015611279360842 0.00397990162843133 0.000759457087436051 4.77167954363102E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0192364950319295 0.00419294403171641 0.0013489251057522 6.60724560038646E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0241593305852634 0.0133090809293507 0.00243054472867694 0.000798088640534705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00724874171228139 0.0037012913482118 0.000196424980082576 4.37792874741603E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00520305878782445 0.00220844555597158 0.000107500223266669 1.62473864158577E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00622560289119001 0.00199835733261099 0.000164680226661044 3.65217196238132E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105408107539396 0.0726632764848857 0.0825197343858951 0.0495901250538869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0332763661179292 0.0213834033049972 0.00651700073048405 0.00374216194286741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0168222563979738 0.0100397236006157 0.00145646283011324 0.000667024351721181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0119205724816465 0.00608594292542942 0.000677285502738796 0.000206205995574677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0726377861075008 0.0463803868132286 0.0422736152814234 0.0251000123299326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.028128391180697 0.0152838551915572 0.00432024009714373 0.00348360328980006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0205656556454486 0.00853837588028633 0.00178520814203414 0.000812896508794568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0216423635171622 0.00678275812563444 0.00187165684240887 0.000349443168650933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0725042356238366 0.0436662973499763 0.118278484079409 0.018358398625196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0187526977355143 0.0105044559393075 0.00280778947036377 0.000644965961542022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0102506442449106 0.0056215285386346 0.000604769900319354 0.000179787030188949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00929500815013002 0.0041147315078886 0.000480237953519125 0.000105937270849351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.191153466350369 0.141761597085578 0.356732547799278 0.200271966090722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0615762411243561 0.0411017971073769 0.0268783400476746 0.0148725867096797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0302799238011522 0.0192679191341419 0.00562318466217487 0.00265414970679388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0194668929631492 0.0114997308191368 0.00212147233942533 0.000813222100310831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.129650432922927 0.090792093476601 0.155800460972944 0.111451805896253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0454805817301169 0.0285879668393047 0.0129975509344174 0.0150736457605613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.028781004195163 0.0148544984542258 0.00462513595696754 0.00337734479692743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0259599522083997 0.0106607975508343 0.00331842807958341 0.00135182255081895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.133951514053462 0.0851126858451255 0.46799726709466 0.0807242095187861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0339177204866607 0.0194930458906926 0.0105906794288991 0.002742131010751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0175661714636126 0.0101369142370749 0.00216449888406099 0.000673709005134829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0140085936248704 0.00698863601803198 0.00146366170039725 0.000298245193593845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.383429059549367 0.293982975338688 4.0994363617619 0.865564646589035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122614283414877 0.0832108055352851 0.268572279911393 0.0664599880294564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0592384209951926 0.038811893871329 0.0430958768068855 0.0130604572521801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0361991157691974 0.0232486618470799 0.0109317023767299 0.00484750030506175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.247207701774196 0.194498127520605 0.610765818858863 0.975217665809874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0822714402936502 0.0615324076064543 0.0475426314693253 0.163717142912164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0471438966598834 0.0307754661778438 0.0143778157144643 0.029624811012882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0364727782087668 0.0210140457426538 0.00790003641485842 0.015898391985371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.268451611881063 0.17862839996772 2.42024285787972 0.396365899005896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.06757832157495 0.0394956335283569 0.069324319872984 0.0143561602720948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0354457638541408 0.0198336865622988 0.0221201444613872 0.00316477154906775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0268186311051148 0.0132741440573554 0.0205677483263473 0.0014304863824987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.45289541586499 1.00639678102001 328.110871622998 19.9622403779049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.390411656810555 0.297279996314965 8.5657241395974 1.99071374468982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.185286147203713 0.166653667011308 2.33030690352992 3.89785002988911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.115967560330033 0.126958480398562 1.34749640269172 6.18596868878504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.31903470588822 0.699407081752528 1327.84779785213 25.4530970319341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.361595527791767 0.235342263330363 80.8488249567526 5.73029795404428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.135651415648219 0.169540091780145 1.26398781493669 8.05933552539082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0942302371267993 0.132558880335302 0.774545231965041 9.65995501290649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11535970361096 0.826636072755408 392.524341196376 97.02053334979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.570999449997481 0.181619485901084 630.080386783629 6.45072089190344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.31774376411924 0.0792152372769233 180.598810808499 1.50568679499467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.542889681844306 0.225185723951754 706.722330151224 141.296511921196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.99751647070656 2.19678859485513 200.542872922005 939.727989413661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.688821662277795 0.831080161290078 39.8884202021377 676.390206206244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.328624536725343 0.54194414602363 9.11879596670399 569.167893441688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.204547452188543 0.42403964345733 5.77719324431197 457.428490499697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.23387285791698 2.46979847190437 6305.63835973523 5161.64284917675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.774379529485335 1.37137600823092 556.225340488624 3870.74754153259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.358596889471107 0.74550242198947 93.5120660564278 1093.49156151126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.197430326291629 0.451877868088513 12.8768625920413 335.529558686902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.98393500843222 23.0933625245432 54516.0063096524 3027299.47807483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.45141167115619 0.966853978226713 3446.17588285413 3064.17130815148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.542929843893811 0.262602357332619 336.729007591728 153.945066878738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.316631496411319 0.615673187260837 78.0866361752395 986.343739843203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.334231000352644 0.259622194914801 4.99542186956155 1.40299737565774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.10652166922308 0.0724914737176659 0.382886619704901 0.0891686529026133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0507589873272079 0.0325051405440119 0.0533635981124053 0.0128446090455949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0305390686090987 0.0193596274824249 0.0116368025211145 0.00405345416347732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.213150330437887 0.152186142926806 0.710065174422723 0.893034607244914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0705715347609286 0.0463027643307919 0.0451399522044783 0.0548502481015269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0396336642504341 0.0249399354412944 0.0111526757604311 0.0193433169521201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0324533626945117 0.0166299096772638 0.0064631411750578 0.00535563563068808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.198741307203895 0.199616144302264 0.365881556016885 25.4676806538719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0506755709799103 0.0316789086556842 0.01844638009065 0.00825162655416974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0267013820665671 0.0162717067361653 0.00479952989968003 0.0020463454295388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0199562409594882 0.0112085520247292 0.00299969390929349 0.00137911863199259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.655591631216765 0.569009961414631 19.7670305292414 15.998708689588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.211412434305732 0.152017683206766 2.04894294502949 0.424941498636623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.100382927257047 0.0676924694432046 0.301239902534801 0.0740559044264556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0590020905450496 0.0401881133647845 0.0615570166135698 0.0277109341976164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.422795485679705 0.338358604710948 3.76140833817682 10.9304981717396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.135340486524248 0.0999803239391003 0.216332612775062 0.581343966275128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0713153483035263 0.0529843100854491 0.0466208252393122 0.212754797324508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0516851331866458 0.0338541882887191 0.0233248207086952 0.0550627777223907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.393134028729842 0.489133805729237 1.57519064169609 255.211501793396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.101397727188242 0.0649840252652424 0.09013521644214 0.0423508183866687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0536352561915213 0.0331321710854993 0.0251170686480555 0.0114837266918208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0384559438024754 0.0224160601755488 0.0151741640229931 0.00853446452422432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.49521875270735 1.17281059366229 318.866034890839 30.2921240703371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.478789561532337 0.351759718252282 24.4780398165173 5.4303542567783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.209682918932587 0.171376834288252 3.05475108690095 2.14287537939135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.121771976592345 0.118812936721019 0.799076595517063 2.49745861221615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.923595583074338 1.19202229017292 36.611901648428 989.656472704953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.281700369916457 0.336442656193974 2.00332511492932 54.1121541669103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.141095495872185 0.192333062326009 0.398872621462836 23.7590034331447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0957827551750274 0.12400497475534 0.177173603035536 10.9955291762546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.832610135091311 0.834907800305652 9.80696137312345 68.383181559643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.270828212244141 0.156335887562031 8.44470111083774 1.15334407629293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.153054516826731 0.0745560374138643 3.11563782104486 0.134191515685726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0965476517625228 0.0550892170573833 0.388868159043017 0.503072911417325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.97628516423085 4.26901563389654 4452.23897270915 546.331071956395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.19773737276247 1.59717179403147 2906.83248833326 159.427634421514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.304793594245 0.94827358139458 1189.94539975189 101.967745594524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.772542660671358 0.70328352671816 231.912462793311 79.2267754386905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.87311366074699 6.02588013065745 15326.2067661785 11069.3861295541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.2985049305321 2.60989399782765 4945.43537920162 2535.91502983188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.18952218809916 1.42515903318892 1210.82320683759 533.895133303816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.610291909748399 0.953738499550735 112.839915405753 224.318356905472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 24.640230304744 12.4750858221315 1004854.1079727 131080.43820094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.55608011810929 4.81738165832106 16663.7410325306 70700.787207808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.62740875223998 8.5882533168954 1974.34622243285 300121.952950421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.59837436128272 0.723883056577167 7618.6368977401 183.525579425824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.84410818727029 7.02745619578189 1407.2567763769 1052.72078515022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.75759323303791 2.9776150784073 583.820611587906 540.738401399725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.68315135126373 2.01472723107018 434.242464922847 466.487599038897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.18903739313862 1.55525330599325 310.557485511863 328.912184774451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.7359295923101 10.3354133573661 19864.734825906 15343.0375202316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.44881643959258 5.86110731057321 5443.2568611845 6772.21569045668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.74381669236288 4.06028773948952 781.701287375185 3148.04015140723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.01742548853687 2.40644169926219 189.036696729618 964.502569591277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 34.7798038125259 31.2778462036228 648568.657716412 331944.928255619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.9317938036854 11.0576227483117 91822.0341149966 126084.207426468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.44264250169206 19.1262214064917 20400.6673561094 660100.775563965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.07379352266216 17.0712872025429 75173.5917762629 1195238.3555177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.35934378795587E-06 5.6355355611387E-07 4.57102509810328E-11 4.76934830336159E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.18837675608593E-05 1.62540194880186E-06 5.70609958745584E-10 7.26750380544148E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.53554932127415E-05 3.48243754544562E-06 2.59730019977313E-09 3.54423263343259E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.15297838707178E-05 1.81861598106776E-05 4.07941565435774E-08 6.04421335703502E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.75452696885786E-06 5.56792048403749E-06 7.03348398821644E-11 1.36315577922598E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.40010406077694E-05 2.09970622356289E-05 1.13241691950508E-09 1.88024828889517E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.26897506523138E-05 4.53601338245514E-05 5.38718129787333E-09 8.70297967120648E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000191618542082408 0.000131717914697897 3.53682688936083E-07 1.48139157954301E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.28785683124419E-05 0.000236625679129186 2.16440678153448E-09 2.25188548774266E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.8526277193087E-05 0.000108658485229863 2.05660582995485E-09 4.77550309112287E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.47453133496385E-05 9.00384907105072E-05 7.03968276466525E-08 1.09195880361564E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000473745496454248 0.00029295600953045 4.33378435045499E-06 1.99863569451701E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.220424523216668 0.280918435084706 0.177697286923547 0.151938932826004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0836029984832727 0.125258863528236 0.0216395254840796 0.0354526013365721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0453417783107714 0.0727201737202121 0.00590670684533769 0.012597088364442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0290419336587889 0.048025023337445 0.00233732788190436 0.00562127461098658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.118078754651686 0.189888713715014 0.0516544886226578 0.0762899786942631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0289838676458449 0.0570169017378665 0.00246497982510393 0.00785120920315512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0133312371824406 0.0268256669166582 0.000490050476879321 0.00178469573191915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00787689255611823 0.0156393701495334 0.000168149617453622 0.000612911718728769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.113381379997693 0.162742453414536 0.045216142281659 0.0565561687203171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0299630745501151 0.0524308151696825 0.0026069838621906 0.00668976787182905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0140256921660309 0.0274106434177287 0.000545888095635681 0.00188970934415744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00848518935330594 0.0177969369494454 0.000195004061207945 0.000807308136510463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.474024352272632 0.540962444028444 0.88151382319019 0.504793209660757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.176752786216258 0.240848972710996 0.107792513266783 0.119711728447453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0936388693660937 0.142330598189443 0.0275737720599451 0.0454657296543096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0591191427557444 0.0949818386057619 0.0103538910650619 0.0211134846404268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.263312695331495 0.352965887753651 0.281681512742468 0.237809516597343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0604419085199091 0.111541225182903 0.011794269863978 0.0286481741092216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0269469768190835 0.0533689814173437 0.00210291704467646 0.00690702624582784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0157942673148369 0.0312146570571527 0.00069686893294352 0.00240439118900205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.244176950825443 0.308140950695566 0.233135200158096 0.182314616291387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0618548002631297 0.102595068991835 0.0122255939524552 0.0241792610635316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0284747373587102 0.0542877973522925 0.00238962872380469 0.00717906166727287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0169257119447551 0.0353810589710036 0.000814148204523048 0.00312382938784754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.997937136055053 1.06394463785222 4.04456120974529 1.80677186256662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.380213721015934 0.458523848925078 0.54242723042618 0.392336371093879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.199467779839142 0.272292610739923 0.139021434981406 0.152294817709909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.123791097525062 0.184219545214683 0.0501753206932934 0.0741317765667149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.573591106766213 0.667885902103524 1.40311746765424 0.78595519501704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.131588575763597 0.212259556869777 0.0625898675236269 0.0961032499314781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0558404526015833 0.104804371142479 0.00986593162371591 0.0255349430201334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0320076651242705 0.0619950779579607 0.00303280418612822 0.00922833879975889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.522563434687541 0.591217890950383 1.13835392060985 0.612933127391341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.132385557660958 0.195264629584066 0.0633698568156883 0.0795349372361858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0594448964583081 0.105372141009416 0.0116161749075643 0.0254116551570504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0347321396188017 0.0693556505255994 0.00376840160366044 0.0114792454525688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.11666068818623 3.1765783572294 40.3064491580048 15.0906630504313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.23537347363763 1.31600834778362 6.08418143398942 2.90900663912392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.666968211015668 0.75725932214414 1.724459291447 1.03129042825307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.417093918131074 0.508224921523608 0.653690244579967 0.489920066596786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.84758427777676 1.94021691264064 14.9929677354046 6.15257262852377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.460694578314002 0.571461651044409 0.862652442339743 0.612088252547314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.19246386961448 0.289823794550223 0.138558705810256 0.173221493620938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104746808564503 0.177619651985495 0.0381601744422348 0.0692046607459344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.67057916974932 1.73932721572372 12.1094821276801 4.84856586074657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.453997464879707 0.534189230539066 0.852615088046227 0.503174889980371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.207564909687652 0.284327067374844 0.172591584108001 0.153307645326352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.119977956117809 0.188501853140868 0.0562570327549242 0.071815782504502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.23926660184388 5.29489680685205 114.367822963272 41.3148255134672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.09876676397818 2.17707185458226 17.7636377103101 7.747570474154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.14717758628136 1.237963561202 5.21233829404865 2.65299781459857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.725714674611846 0.821233415359246 2.04629291366253 1.21806473131167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.13092388545043 3.22491132064081 43.2975866725916 16.6660476072576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.805998319265528 0.920347705957081 2.7089683396649 1.52933106145809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.345904331571387 0.459398096148803 0.47143195326744 0.409965324563496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.188201121057771 0.283604715044004 0.132536880192306 0.165471113529408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.82696046521623 2.89707781708459 34.9357879097589 13.1430336211472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.79111186306749 0.870631914239681 2.65887326124368 1.2668521593045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.372743976527131 0.453607365882838 0.586037894990243 0.357614022494264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.220183431829706 0.296372602049166 0.204174558307256 0.159608373466323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.782998986565055 0.847277539160414 2.52100096977946 1.21032814889943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294714133039431 0.366829427223851 0.330127065766443 0.268839582075878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155060436553396 0.217354230592905 0.0848230285960629 0.103647446695235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0966940888634023 0.146344009324476 0.0309628396901747 0.0496978773396006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.444604585244823 0.534237699751232 0.856142725787255 0.536414453578584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101669180268437 0.169595653244053 0.0380558362854393 0.0652722203951969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0440048826546902 0.0828699416010962 0.00626623607025946 0.0168118076091009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0252564926539171 0.0488552973247323 0.00194134105597443 0.00603001710573794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.406797850734579 0.472416507147131 0.696839034117172 0.415891199227036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.102848706411602 0.157668037094837 0.0384140865152387 0.054982486552001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0466820565444226 0.0849261603940353 0.00719558262443009 0.0171624296908986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0272906953826595 0.0562902554521914 0.00234182522487457 0.0077588553302575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.62373362971231 1.68664576004634 11.0416294855278 4.53124869098463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.627642311401673 0.706506986669417 1.57720544781599 0.921224237754401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.332965057391148 0.413323391536716 0.425321463015331 0.34277960511044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206336200937361 0.279673174770161 0.155791194268155 0.166903247632129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.945148349471518 1.0342981907928 3.96886443255232 1.89828071527119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.224380728756182 0.317917387933 0.203113559559384 0.211332929217351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0939144842075478 0.159882289501218 0.0318624126114615 0.0588510988342373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522402351284245 0.0960172520684058 0.00909077101323138 0.0222916015630216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.85854393492193 0.923762930609604 3.21364999442166 1.48476191840516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.223746390981016 0.296376022116491 0.201979144250767 0.174731878776645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.100530246958218 0.161206183611532 0.0380019107110407 0.0563017631868208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0578521728794905 0.108042094331262 0.0119840756210545 0.0266023851733565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.31265161125597 3.37379446172817 46.3513531269658 17.544867053624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.30816089940337 1.38735460435613 7.0246859575727 3.36850465595045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.707067980724258 0.794426833156596 2.00900031366841 1.18273161437904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.442817838612364 0.53138754890572 0.768420565922933 0.556315809850331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.95822569414213 2.04581874627013 17.2280119594349 7.14705866155978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.489296146439746 0.596693643305398 1.0172967260785 0.698240722169802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206743910191863 0.301277095534737 0.169618057449116 0.193277987867828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.11238564922854 0.184563516599662 0.046972590509249 0.0769312790363441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.77432560020765 1.83835361692391 13.9445210877442 5.61263664841169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.4846449266614 0.563544517756248 1.00505635024345 0.577398198448734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.223566698189621 0.300103630770651 0.208497311956736 0.172885575944136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.129264451194963 0.200501977899624 0.0684121644269692 0.0812561370432981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.0781185232126 10.1364057474053 431.503799118818 154.653217816529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.04508829723615 4.12273184850856 68.190021095173 28.4510361453552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.23106032330054 2.31848821973635 20.5831249975358 9.47225003326347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.42566281645336 1.51935509375 8.33725451534251 4.21039201677785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.06306773460909 6.15302997696569 166.479425128796 62.6231445646695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.60074393919852 1.71043217921857 11.2809765818599 5.42374506406373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.711470941988918 0.829623679476204 2.16681060761775 1.34039395347353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.395280588223946 0.506936435049121 0.653866585279616 0.515941222131494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.46973233981717 5.53510056181315 134.013381765623 49.0137591785869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.56786350853531 1.64551389419326 10.8896465924137 4.50223423462593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.767520337353772 0.845901547087014 2.62723224755321 1.18532219834036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.46892314726808 0.547134738989792 0.993900950319072 0.498255970595798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.8491121776779 16.9055989004386 1208.32415517168 428.137708519863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.7706457450842 6.84867440536577 191.426531963562 77.5995523937425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.74986435164946 3.83772706778926 58.3861668082876 25.5149256035425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.40893210693711 2.50321105582993 23.9735066530043 11.1838750757458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.2922311368437 10.3896439705778 481.814598290828 177.261525738596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.77204860763897 2.88191782797138 34.2382843668581 15.1129503887341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.25512298609051 1.37501025089515 6.89182118560731 3.59328632339427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.709646529590662 0.829503003640352 2.17592822975858 1.3321921074537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.22668499002791 9.29148534622414 383.263683885487 137.09642640888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.66590007711456 2.74414482252478 31.7248125840686 12.2122546748006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.33071446176394 1.40715927203378 8.00239134157721 3.13758004505143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.832042250498322 0.905577648265911 3.18365093247914 1.27893493360315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.54575247543283E-06 1.98625466324171E-06 1.03827276672396E-11 9.36628527005924E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.76730029761063E-06 9.19642749148868E-06 2.46839367500806E-10 2.20019871766727E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.68624416432041E-05 2.04561939300464E-05 1.16483011116194E-09 9.98624614520891E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.03500792171706E-05 3.69841589892138E-05 3.83532046569951E-09 4.55474350635763E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06376485550204E-06 8.36776521357879E-07 4.75903546850694E-12 1.61204048354599E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.69695666267702E-06 7.02744222914986E-06 8.27054133912756E-12 2.12632330916983E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.5189398426198E-06 1.79739059379558E-05 4.57874889627689E-11 1.38569252217587E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.8792144306388E-05 4.38029297850345E-05 2.44881896349244E-09 1.67794009348182E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.63446125195588E-05 0.000267320614778009 5.1644237158209E-10 2.99124880094088E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.64803204645357E-05 0.000108086930740759 2.01717149351854E-10 4.96051991925798E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.07152794679551E-05 5.42132755876432E-05 1.15007589260962E-07 4.41638937428815E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000131075485577069 5.99313357094664E-05 5.51914087108916E-07 7.67878486278657E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.334364495897746 0.285018654656132 0.367922170059383 0.173216695283788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138710827898208 0.127175189984884 0.0560364980187381 0.0378644841322659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0789453773283497 0.0736991721810989 0.0172266125388434 0.0132145324479158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0517731512509605 0.0487311926616868 0.00721319884250786 0.00589464961828706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.223601488276866 0.214216997516542 0.165697198039492 0.100098414002977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0627221107435978 0.0591582696054864 0.0108166017345795 0.00849648644584387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0293355794431569 0.0276279121237981 0.0022717130944158 0.00191542117421851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0170112121364151 0.0160201196599986 0.000751911030548402 0.00065285457108549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.209103493214903 0.176880792494592 0.138164261800909 0.0696312278131538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0605429613658912 0.0548807582910824 0.0100189034548499 0.00744731554150062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0290218991353692 0.0290896868302744 0.0022377725642933 0.00217325285202991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0173685898244101 0.0192669179006801 0.00078971759380123 0.000965561148768763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.646618010076822 0.584836228720461 1.59865653241489 0.668190460164768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.276154338659889 0.255409044168527 0.246442423662817 0.142417895785984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.15775404618198 0.147511767817762 0.0740136049543343 0.0501019225157675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103522656484406 0.097479786542597 0.0303784640701247 0.0226113768990586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.444071376567141 0.431438803465906 0.757875129346396 0.381853800323388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.12511921557581 0.118661504534395 0.0463038351674707 0.0324180087769574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0586304413220302 0.0553033579539572 0.00939835181515656 0.00744147332844501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0340150343164323 0.0320517034371536 0.00306758828092354 0.00256242979274905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.409415312618672 0.36230862570167 0.609189602560703 0.274959485149724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120725073024728 0.110103388962742 0.0425767323581432 0.0284518531558421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0580531468209261 0.0581613651051384 0.00929853013334375 0.00842259409598293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0347451206258322 0.0385080641995606 0.00325084334107755 0.00378129306129025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.26529209523136 1.20303774383474 6.98375014370867 2.60607511318551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.54613648935608 0.514979000590239 1.1040122976199 0.538600436027054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.314177391652268 0.296185035675473 0.329362094977562 0.188358723235766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206703325068616 0.195271191076489 0.132807915028525 0.0852305124256357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.882052011213877 0.867315405293204 3.43147090146153 1.48008505595959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.24890317101867 0.238785673498292 0.206738424796519 0.122854798303709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.117008207980902 0.110910116982878 0.0400787184027416 0.0284530482413911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0679771694919365 0.0641868301754148 0.0127569887659121 0.00992431152167128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.799913127031385 0.741284484669453 2.69310194123268 1.09796310067067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.239755968025731 0.221809562527665 0.187991484727138 0.107819383581466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.116185139718963 0.116218825694606 0.0400351525328255 0.0319205083966656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0696351434474675 0.0768558473184134 0.0137646424406302 0.0145165865835144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.82632562765262 3.77979965494402 69.9802778053189 23.2703200732716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.61204128747007 1.57121306385959 11.5907572785827 4.56437730949447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.928054521866646 0.897694489845171 3.55126345052331 1.57144728866556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.613546732584837 0.590893487845968 1.4425725380986 0.703511797410331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.63544699101141 2.62084949529498 35.1319580135111 12.9642409116546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.739714433308164 0.726086776673241 2.29167087642954 1.04643995623758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.348474085445703 0.336730949782255 0.433833769730453 0.236791626580892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.203095670005699 0.194272293470313 0.131622233914615 0.0827003819106477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.34763764919367 2.28300850287295 27.2318515337057 9.8637714637571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.705765304603044 0.6752499800748 2.05456931931861 0.908336209299897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.349388021295262 0.347180364310985 0.44475529717666 0.253987843643235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.21168977034779 0.22759849572499 0.151345418055597 0.114528010794539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.42705876144385 6.39193854692526 200.318031950691 64.6765713550144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.68916668376389 2.64861610084193 33.8128213299256 12.5085794124026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.53785737514634 1.50365445124492 10.5164706943401 4.26140919596923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.01518359653119 0.988208149216037 4.3266406850087 1.89819673755641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.41357376331692 4.40147600571718 101.341273900314 35.906659268992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.23215519801127 1.21871518001607 6.90789843064662 2.88240570423389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.580090711529132 0.566495578305952 1.33755904734014 0.644859557991861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.338109723630965 0.326857128025232 0.404536394522878 0.222880102258269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.91839071356531 3.85463278705207 78.5508186202632 27.5177559907082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.16620695128346 1.13099179284814 6.15862824444708 2.47445092082741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.581914849459449 0.576517292815627 1.38008806566087 0.66875795812002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.356540682654872 0.374888936928376 0.480455762879386 0.293785281382353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.02328518312117 0.962930600239649 4.48576154938183 1.77691212711405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.438966692877861 0.414226893789908 0.701078210823061 0.368444229081646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.251686851135817 0.237818893131654 0.209144051475179 0.128155359918763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.165307960534042 0.156572586654004 0.084673553987168 0.0576618935693186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.712882757931032 0.70096451929587 2.21053930681579 1.01723424525763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.199669358009373 0.190144566592094 0.131640399064011 0.0822894183049459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0936212272755644 0.0883711503695264 0.0258622443984804 0.0189652917711069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0543004504636328 0.0511315564371546 0.00828240270273676 0.00657616524400797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.650264456641797 0.597431810707473 1.74598500081417 0.743716680247934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193153761626336 0.178587240758536 0.120738366334379 0.0728461188027566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.093480748301903 0.0948086606139426 0.0259135558439697 0.0218147353532925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0560099925278634 0.0623985842539937 0.00893163722034634 0.00975031930755125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.0412195803231 1.98492991187549 19.4613603116167 7.0216119308557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.867140694010216 0.834197715083834 3.12723034819641 1.40931742746531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.499835533274233 0.478242810176621 0.941007526756567 0.488065841064862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.329274183940137 0.31432708131358 0.378508825844471 0.218690300837642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.41742122727606 1.40631900121288 9.76449742509141 3.98159035068487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.396684966556184 0.38327183818093 0.598580905727943 0.317010190396389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.186484103913139 0.177664388559761 0.113586662237135 0.0725509718239709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.108392156348406 0.102565481869022 0.0352341682488609 0.0252962305967038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.27551445049252 1.21556949097459 7.61884179446108 2.97092779221465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.382723354900077 0.360406802675299 0.544159842366847 0.279184223237472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.18721111716257 0.18929496323258 0.115430691147658 0.0816607990560277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.112547555026358 0.124257935553246 0.0391010134217367 0.0366981268240236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.12636285586544 4.07706575714923 82.5652051618192 28.0521091893616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.72464949214976 1.68801512345365 13.6560150884264 5.47687353295392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.990154987273006 0.961676988420169 4.19038114928845 1.87809505337772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.653799492467716 0.631907881807409 1.70502513766517 0.837940594851451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.83699300315543 2.82925952343841 41.7989202931789 15.7463087715413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.789192840314816 0.773255470242335 2.71507171785609 1.24311356480547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.371129640225499 0.35856268366296 0.517132977870908 0.280359673289796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.216083574265592 0.206667446403852 0.156540626068641 0.0971086398763056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.53155118932546 2.47202616719189 32.5073314958097 11.8970958015977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.756596914886774 0.726256388889006 2.45524220015228 1.08113858762582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.375369386852273 0.377013494346828 0.535140165794311 0.302969097149246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.227636881541547 0.245952343060397 0.181885344603201 0.133885657950198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.591828877855 12.5568397309964 784.507584508417 254.080584761245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.2112279912434 5.17981218048634 133.360122615232 48.2424881445614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.95199318833756 2.92085944188797 42.0255420671719 16.2252332152749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.93568203337328 1.90675897703865 17.5306304842961 7.15550158541224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.65209047644572 8.66311535003064 404.688023763516 142.615720916388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.38806606529448 2.37641311877121 28.8287693565496 11.3508936035033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.12377155833798 1.10831549031877 5.8454039709823 2.54115964483127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.654375150018053 0.640311013660799 1.80692266510689 0.867089282860627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.71080998616422 7.6542646784811 317.607506150118 110.121032918359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.25125920686842 2.21045146368519 25.4792060317798 9.51903701719312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.12977656902185 1.12194505382765 6.01421628711751 2.4958331332302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.699199366178243 0.718286901643962 2.17973217691736 1.03871447195926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 21.1532272715678 21.1373957797371 2225.63657517039 713.002344209756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.68573135603562 8.66703385760883 374.053060994182 131.923247388259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.90182795656934 4.87844059093849 118.381762105168 43.9545318252196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.20179483320969 3.17638256105657 49.7341050918642 19.265957238364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.6416876195497 14.7007982476577 1170.24580112228 406.821488406294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.10098384682171 4.10261131183416 88.8992648369272 33.5844344585224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.93487719623182 1.92135903265076 18.7166315689417 7.57473347170736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.12763320150576 1.11458581147919 5.9388970760484 2.58950323479431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.1655458209506 13.1114789504541 940.021930893246 323.957225086883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.78840408415993 3.74586281350862 74.8842912085966 26.8155434612294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.90391159293349 1.88878670980535 18.2516330787345 6.91656937559234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.18606328696973 1.19721412794049 6.86894920876593 2.81777805596563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.10999907751124E-06 2.37893520768646E-07 4.28436221060086E-11 1.35264026174914E-14 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.56781051713261E-06 5.60700639092489E-07 4.01969593727011E-10 1.29759520997077E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.99783732632515E-05 1.62611655847372E-06 1.7502432411305E-09 1.09508870819953E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.9509205195385E-05 5.34353154117129E-06 8.03059594100864E-09 3.70077391643828E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.00272814705819E-05 3.8297564038012E-06 3.24845766922992E-11 5.98558143303562E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.305909635575E-05 1.5278179046216E-05 6.12895305392548E-10 9.53028049472339E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.4961847447154E-05 3.32727529454941E-05 2.99221914430783E-09 4.52038418545532E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000191244897594486 6.10756918577494E-05 7.50387984979396E-08 1.55030818303028E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000120514492422 5.81680983886204E-05 5.45919631377725E-09 1.37588132430488E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.22287895959764E-05 1.64964996229351E-05 6.32151729427697E-11 1.10294896484558E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.35873695163063E-05 1.50673484385933E-05 2.35345738166391E-08 5.15777730746031E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000228945421192361 9.77297742071171E-05 3.14243076176873E-07 1.15300127715519E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.213373868247083 0.193954449453521 0.149803721031767 0.0771534100001644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0902150706870032 0.0795252008782066 0.0233079336815294 0.0141751858508472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0507214144561834 0.044417521123541 0.00697211351873787 0.00460576503849805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0328675940796559 0.0288369940467131 0.00285767726853563 0.00198284287148374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122282461592327 0.109138092109671 0.0437498478430189 0.0263981650082166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0338843935639777 0.0302176605368344 0.0030474275328393 0.00219536748633896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0158058306640139 0.0141551034817478 0.000648688397243718 0.00048991218402305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00918783289737249 0.00830948862070324 0.000216034343030511 0.000171759750213189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.108319621853655 0.115084332232212 0.0354530347217575 0.0290741014875465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0316496205998125 0.0325974202445734 0.00270838417986448 0.00254524946922394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0159448797277059 0.0154342273075222 0.000680312841595019 0.000581552628055853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0100715227891959 0.00915026309672998 0.000274131148404089 0.000206486773058543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.423889842520797 0.395336981973605 0.658628716400687 0.297723930105963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178963390243428 0.160730589950912 0.100216037661679 0.0546577942494731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.101021162045537 0.0892781243161645 0.0293329904055945 0.0177738627669497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0656083271228834 0.0578027225037169 0.0118416108840981 0.0076944547173544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.243249473327841 0.218682445528653 0.188086706204422 0.0989032554293277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0678111548103368 0.0603916293768502 0.0125692489141084 0.00851785876729689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0316191839235248 0.0283029200089036 0.00263712786857225 0.001928563121554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0183740829789112 0.0166159290172356 0.000877723613255067 0.00067865277214611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.219665481049069 0.226100575673657 0.160949066123499 0.104219225360208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.06367045674904 0.0647885787988038 0.0113786388292337 0.00970652101930662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0319425272323244 0.0308023398920416 0.00277270975969242 0.00227324865340187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0201489046919319 0.0182750061200286 0.00110208322300753 0.000815187025021548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.847605370524159 0.812584781173789 2.86932159777094 1.16700023719125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.354374575724027 0.326596206499925 0.436026426820917 0.212475892510112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.200397242577602 0.180394910793543 0.126015020661504 0.0686029667250165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130579176230268 0.116270949465427 0.0501722322760421 0.0296354853037678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.480014564923144 0.442885571273354 0.810101268201112 0.374566875269654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13564942314668 0.120761160248231 0.0528852550861768 0.0325834649174511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0632897122798144 0.0565651806018629 0.0108565974344211 0.00750011310282241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0367724643996855 0.0332104467376199 0.00358738645376891 0.00266054903540601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.443952494932226 0.446021337927628 0.731483040235509 0.374327687366236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.128914171255422 0.127740883074282 0.0496719495308485 0.0357204639134161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.064241873466419 0.0611553379943145 0.011576827405848 0.00864860164191845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0403760644674863 0.0364028839897741 0.00450453167790948 0.00316048783011718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.57214067288367 2.53306525758339 28.3055055611186 10.4153515469581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.0540923277361 1.01321288992105 4.40699346440808 1.86730120626225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.591611955919464 0.555283746405665 1.28085509458045 0.595825001014545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.385765586173625 0.355743742685298 0.508133086073386 0.254259433410718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.4272524627259 1.38384147770444 8.08590966903169 3.26661109862199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.402642957338396 0.366587771155784 0.526065729706382 0.275330133422077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.189985180125709 0.169925674279885 0.106307506778302 0.0630758488872625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.110764359066486 0.0994369699171715 0.0345963448572434 0.0225611976051934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.35801775587491 1.35399420283124 7.67941037103316 3.07839912189091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.391787938919194 0.373797198867164 0.531494293442117 0.272437247118902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.195966893377266 0.177788237438032 0.119454210648497 0.0659620769450009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.122514557913819 0.106295494355214 0.0445822013560617 0.0247688613455228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.30974764000135 4.2674260613126 80.5369509599612 28.9179306809958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.75759299148344 1.71372274449181 12.7085276782987 5.16056216362948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.981175644445881 0.938600065988978 3.72418065978781 1.64025133250534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.638052189784606 0.600137407441599 1.48448269978871 0.697326157129471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.38855214592246 2.3456724024694 23.2995913751486 9.0731991120117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.664668063506155 0.618981552902099 1.52795106858542 0.754374941273168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315743501073481 0.285279734180357 0.310294932790642 0.171032082247239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.185027092603565 0.166148999851883 0.101035054721508 0.0607061917131405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.28724805571098 2.2813123128626 22.3359270128272 8.43040398369993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.652312239298298 0.626009663446816 1.58259412313605 0.718207967876293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.326275082145187 0.293780345132241 0.356396019216434 0.167855703395832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204621478093597 0.173921031059157 0.132254614342561 0.0619054488047398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.673808436001369 0.639491068194596 1.81490155358887 0.769498281684277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.281985969169072 0.257092515815391 0.276150956345327 0.140528491686375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.159300552979321 0.141891280008782 0.0800994930188422 0.0452279884169309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103653142061509 0.0915175692764412 0.0320187467271742 0.0194784042360881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.384105609996307 0.350742608058297 0.518110188380918 0.250789114906659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108069439826057 0.096501092572422 0.034259666874915 0.0219004863779259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0502313592572611 0.0448977653195992 0.00702815816304508 0.00496203951287274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0291427260294748 0.0263095451735673 0.0023171829715025 0.00174445958017941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.353156057349801 0.355519942075836 0.463283483300452 0.254455866164405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10293515317647 0.102505180910677 0.0320557700902374 0.024200606449616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0515252807618217 0.0488873649698396 0.00752456498850478 0.00578778261415672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0326551664538797 0.0290684265962609 0.00298105327802099 0.00208890606101225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35575958614894 1.31748463477095 7.79986871763481 3.04735792093588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.559509530556448 0.524591979009848 1.19707960917522 0.55227041536247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.315419721056099 0.287923976091356 0.346083805858514 0.176702442571703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.205722351027624 0.184766230854183 0.137332929766827 0.0755398265386136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.759383475353026 0.717832013694672 2.22637199395368 0.96901166006036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215707547022279 0.193418897474461 0.145867874998906 0.0838259971643335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100620412011845 0.0896798971438246 0.0293739068413083 0.0191157698043392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0584072543113478 0.0525274061471773 0.00958946628593005 0.00677051995254525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.713475778057222 0.710813595780623 2.07410170857822 0.940939447919167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.208585611471265 0.200990245700113 0.142866160632781 0.0875161613877441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.104066741203386 0.0963027649064853 0.032277967646561 0.0214038285029832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0656453278848889 0.0575697554463407 0.0124377596119464 0.00789530971656908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.73671409796789 2.69637348214283 32.7614317352255 12.1677936441284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.11582605541441 1.07437990913245 5.11400233188423 2.18810875577027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.625051346042198 0.586788451180481 1.48860224537537 0.696957783702404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.407222979739634 0.375098403876171 0.59160936231589 0.296184727632197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.52022212849702 1.47788355025852 9.47702416054727 3.84142913655652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.427502722929977 0.390737059094842 0.622314888007007 0.325038356244461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.201236190937248 0.179786456018805 0.12483056135033 0.0734877431901588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.117229677154759 0.104901187836459 0.0404959651448269 0.0259623277696493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.44860430258991 1.44337931630676 9.03586236400712 3.62395210012043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.418528698450561 0.397842306461333 0.635185469606772 0.318578914636057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.209813736720667 0.188120150777508 0.1419806083384 0.0763640889733999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.132213860444661 0.112507402879772 0.0534776106886823 0.0283781173460812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.29245353116622 8.24130185818581 306.302945386966 109.258274840545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.35723137606689 3.311823339715 48.8593863031487 19.4505817292436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.86052802483518 1.81312639462854 14.4559367442701 6.15933915516733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.20410765665219 1.15610124584604 5.81426086895483 2.60414810598976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.63393413049381 4.59728943350969 91.879944704794 35.030525947663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.26726479777568 1.21743621944718 6.21103818793205 2.90530881611175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.600271502773797 0.554789549715266 1.26048510610208 0.649499409782545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.353983018051838 0.320606731258212 0.413114129555592 0.225026571701188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.44531429140546 4.43467387939898 88.1761368539028 32.0575029014896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.25965717855917 1.22699443564478 6.52607718631527 2.67566427914162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.622108490208144 0.574568347987273 1.47344231698039 0.603816043657979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.390357017168961 0.336662627804773 0.549040105776089 0.21191174219816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.846446960702 13.78663180293 855.873394898798 302.146906954496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.58638074798641 5.53948801562478 136.142625573553 53.2071966776052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.08775940059494 3.03982386217593 40.4788440324172 16.8014945555728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.99189421937153 1.94125836903456 16.3596000343133 7.09154013967654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.85707654115806 7.83001068431481 267.348983437519 100.291955812488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.14478442512714 2.09960818756593 18.6087394398009 8.35987098979884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.00961200798913 0.957690686886098 3.81388820521162 1.86556480030454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.596644537008097 0.552617036739004 1.255759189556 0.643452511773154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.48942231808374 7.47233404985119 252.248918813334 89.4768348355482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.11512800943307 2.08009994751638 18.9769134445047 7.35827632684456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.03941203380833 0.986898599143688 4.36691270406314 1.64896421606795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.648078888572959 0.585159547398576 1.6411261194819 0.573402175632328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.25586920663494E-06 3.95634005147167E-06 1.17775950330846E-10 5.58930208553834E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.68845579736456E-05 1.57566440123706E-05 1.23909855653733E-09 1.14754383531113E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.60666809610773E-05 3.33264502222573E-05 5.67750424993629E-09 5.40086648228773E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 9.85691244384039E-05 9.86422505266672E-05 8.40811738495424E-08 7.07716462031475E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.66230657451692E-06 9.14370739923716E-06 5.1188374823602E-11 3.79948026385707E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.55479404797128E-05 4.22207059234742E-05 1.07049198360439E-09 8.0541656904848E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.1445688536803E-05 9.63524964123982E-05 5.34973007232369E-09 4.12192585859703E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000253628443157196 0.000299862623769229 5.72943385320587E-07 8.79524735629859E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000317955925290612 7.86933504983289E-05 3.23823883058793E-08 2.3118992626687E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000116086732646867 4.6360281795544E-05 5.83862796610876E-09 6.0185879136612E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00013682366648527 0.00013084094083045 1.03420902835119E-06 8.5576949163575E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000635657349621877 0.000900933159173833 8.07288942524014E-06 1.64325887354167E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.213818367133825 0.28784889092746 0.11912282590996 0.202809121985026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0882451236714971 0.120532980476 0.0197504431106948 0.0356899524766379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.049335381878786 0.0681445465617535 0.00612284028274242 0.0113996040318484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0320175184571869 0.0444652060083646 0.00257204162467553 0.00484346000252271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.121544551454232 0.179837138350397 0.038019507200865 0.0787920983191885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0339582685811515 0.050117156438933 0.0028680499913227 0.0061413459568217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0158460551350649 0.023405197856995 0.000618695158719189 0.00134195980056371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00931711039159167 0.013629596843705 0.00021461583608241 0.000455640843161023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0963506614723698 0.171322689471851 0.0238937139790208 0.0719982974187519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.03141237730705 0.0485156240692544 0.00251870820526819 0.00577190210030552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0169869571116546 0.023112852545341 0.00074125437410248 0.00131291130530584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0115812979356118 0.0140474140555123 0.000338605306663452 0.000511649396992921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.428477170201044 0.574446326682067 0.492414192054794 0.789678277104401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.176567828091394 0.240976037306288 0.0799256480049784 0.14151838911814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0986893724923739 0.136268910614508 0.0246433938674867 0.0453910085305124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0640418790589597 0.0889230554399522 0.0103185639438496 0.0193321761774591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.243913072314631 0.358813626158835 0.157664588139423 0.307914077075016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0679350161118083 0.100218817496045 0.0115595151526752 0.0244421498386511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0316942733504514 0.0468092171346192 0.00248727987924361 0.00534837243292675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0186250517712682 0.027244926043644 0.00085946342848487 0.00181690429118095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.193355862833395 0.341942028798743 0.0986931622778357 0.283051872686795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0628341066879162 0.0970184123492678 0.0101634583560261 0.0229751447963114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0339397987303388 0.0462061830207653 0.00297589198164362 0.00523006829159733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228982278242028 0.0277340620597395 0.00134126892485494 0.0019387073163161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.864303538671803 1.1374507797537 2.12557105850975 2.94764660946046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.353748710561971 0.481235304485229 0.327924681933554 0.555279262083058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.197518025606144 0.272384586776749 0.0999271053086766 0.179757065434213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128127338387369 0.177797831356451 0.0416108900896601 0.0768733705051603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.493467454630771 0.711772283052028 0.683917004245966 1.16898410606806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136013414990118 0.2003194939714 0.0469786879617115 0.0967851005281165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0634075435329745 0.0936134227078817 0.0100231658017249 0.0212915617676204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.037253581991668 0.0544885252178017 0.00345104936544368 0.00724871030037775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.391443939963183 0.678853321574092 0.425444190469168 1.08592013896747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.125746642103193 0.193944309081311 0.0413269902422428 0.0909814570889442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0678627583410007 0.0924007857581199 0.0120058582170364 0.0207843108258314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0456612435636488 0.0552582691046796 0.00539893117804968 0.00757259707715414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.72855549864687 3.19845734673179 25.3507066025404 19.722513069548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08014686782951 1.42065266578541 3.33607332923013 4.51923718367028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.596655076751982 0.812547620433272 0.958820456890479 1.54234433302957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.385631591319542 0.531953048971539 0.389425560141625 0.672365919972367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.56899035919001 2.04060718216543 8.18176012506812 8.58351174436357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.412151869688424 0.597652943421429 0.456349668371029 0.832150917366327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.190798585928365 0.280700270418304 0.0930289880608798 0.188409276058171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111932072354935 0.163524995638803 0.0315726432063863 0.0647214726942068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.26964765955066 1.93199401637086 5.29164105688695 7.9115042373479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.379503293932723 0.579313108295971 0.399799394810993 0.783346828112269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.203725859559586 0.277045428012008 0.111988211981531 0.182387540079103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136932717400958 0.165595836392474 0.0499611268647362 0.0661874196172398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.71614319139291 5.20471393655974 81.2233221728276 47.9383885670137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.84279552122638 2.30865536639191 10.4559663969555 11.2132694753912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.00661826442266 1.34015365553928 2.86452519538464 4.04372811001453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.646563954232225 0.882084069320458 1.13133966338422 1.80560379676317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.72495778426455 3.28275402336432 26.8967778814812 20.7459083953975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.698063061503424 0.987581856478501 1.38110684565278 2.19972178956537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.31979399900475 0.467446760334262 0.268001170957923 0.514479982032295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.187088838752762 0.272765843721889 0.0894119392543415 0.178545520836439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.26273622869665 3.06183689060327 18.3952254229475 18.3793443667041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.638825511908734 0.958421091437713 1.19994873976284 2.07243121779579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.340027778358856 0.461296761199341 0.323006675189729 0.494046279739979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.228343075301376 0.276046455486741 0.142569963415367 0.180097190794728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.694381915103017 0.918085887801773 1.39152508208895 2.02596343212332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.282705890772827 0.383576540124464 0.216521865396438 0.37127701726038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.157455901485698 0.216425337648206 0.0660616197706874 0.119516478268213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101970695942309 0.141060686984933 0.0275190344649046 0.0510017273225876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.392661574930835 0.570415935498344 0.442251806706413 0.79161911757665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107369687425527 0.158358878214924 0.0305925232957732 0.063825411315663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0501501809658335 0.0739495650827888 0.00658621656916525 0.0140337499075657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0294513363955602 0.0432433873888682 0.00228309870297025 0.00481208781558981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.313361291234169 0.543995750849201 0.276806337075408 0.732207733928554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.101524930584853 0.153815930919735 0.0273982878005888 0.0602449756126933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0552019596318033 0.0733891510088158 0.00803039204406985 0.0137761169477317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0373140675763728 0.0441943692097733 0.00363604774382528 0.00506085784092849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.41412477336508 1.78242584117264 6.36807636062209 7.048529608012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.568289804240367 0.763639712212506 0.908872403044444 1.43193275907844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.315540493919273 0.432143973895255 0.271004149571939 0.469534872764583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.204133353423727 0.281902641676987 0.11177690268365 0.201803806165043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.804862602714384 1.12048946590788 2.02990542386378 2.89602283257353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215348469328033 0.316206876940132 0.125992035315285 0.250875102879183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100376417227343 0.147876025035322 0.0266618494085332 0.0557369331937356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0589141693303815 0.0864855070239455 0.00918688762716971 0.0191764491780632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.645104524113618 1.06860382670112 1.27451704336639 2.69894498874874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203394055596803 0.307249355184152 0.112732829446587 0.236844865394916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.110406771837472 0.146761673327229 0.0325901110373132 0.0545434960316099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0745281946828817 0.0882852618490602 0.0147108994696777 0.0199106066739037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.94356416703962 3.40282368730233 31.07386755728 22.9640170432313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.15627071845359 1.50108595097929 4.04774807163523 5.23579281679221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.63584745361473 0.85884923878133 1.14913334747518 1.79956332180653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.409750956904192 0.562090512318333 0.463304778138795 0.787011904556663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.68462906017299 2.1572999192187 10.0050434587932 9.93477313437714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.435069817506177 0.628878344914585 0.539488146971323 0.965311175651502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.201379362096886 0.295578747771941 0.10959341472608 0.219837189335373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.118007058199183 0.173031308805402 0.0372723280274145 0.0762116140482312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.37934817701074 2.03749480103908 6.59078290896288 9.03877173871889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.409291670571366 0.611693357101101 0.48017561456973 0.911703161885581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.22097070565668 0.293371894132702 0.134402061040954 0.213713360743058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.149048518506878 0.17655817183156 0.0601850884610576 0.0781188931311546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.51192675993312 9.97279572152053 359.46234753527 168.825876625127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.67327613194164 4.21100889875091 48.1583588697436 35.8814411817609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.98824317391937 2.46767670515065 12.8811370503768 13.4175144727009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.26297283464391 1.64428761259187 4.88343891068277 6.25677777928526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.52893301790981 6.10007178796505 124.986065360585 69.7883269479845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.38489416133253 1.83425343817079 6.34245943749413 7.5350285327599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.621802845917243 0.883967409575932 1.13958872133635 1.87241326613373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.36003184512377 0.521650787187544 0.364332110691091 0.672909600838272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.76435226146579 5.56628758622653 91.5067165786167 57.7814768359827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.27968548715458 1.77537903964197 5.54884974871165 6.91842129720048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.667757234473228 0.875759400070315 1.37899334314283 1.77067301128108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.448326063561697 0.530670695314816 0.594675592915354 0.662032466270425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.2176443344279 16.669215863337 1066.08292012438 450.170783705332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.30028284385773 6.85334269522319 149.279100380792 89.3706328892929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.40423804401897 3.96792519449788 40.5778460573616 32.6442919020658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.1554763884939 2.6594916499042 15.2605983222844 15.50002247565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.62604639085009 10.1955552948165 392.816975290267 185.2152811709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.44108209359129 3.0140796742619 21.4795111714328 19.3027904616231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.08346932158534 1.4756457872773 3.74310433900902 5.00220311035664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.619425406180269 0.87907965771012 1.13968125351919 1.85540763164882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.38173085530272 9.15881167729707 293.268024087834 147.411609513994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.23402402878416 2.86146959459558 18.5705925627937 16.6569653239753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.12994673003277 1.44781420808669 4.36518034036885 4.53706233195978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.75202509053297 0.887305970704747 1.82606079469058 1.74758505798324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.38788996846859E-06 1.94218595027934E-06 8.15161479859728E-11 8.36792580868033E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.94073728083425E-05 1.06233412587271E-05 1.57106217239282E-09 7.51501677037793E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.29725211665015E-05 2.25402074229445E-05 7.70888471331775E-09 3.26841594902135E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 8.32129784331056E-05 4.27388689062939E-05 3.11362184523776E-08 1.05927795585894E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.9143063404087E-06 9.18607934740376E-07 7.90644213356459E-12 4.02041808969178E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.28587619397367E-05 2.12125505693369E-05 2.00833999956421E-10 1.84596910683597E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.05438297684859E-05 5.32729834513263E-05 1.05258587292172E-09 1.16128865946902E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.40941792598574E-05 0.000105840300566933 1.10185401868193E-07 4.7289035722787E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000116917954535337 0.00025519249546141 1.66942496525264E-09 2.65784397191062E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.85089304522554E-05 0.000112186317288166 6.47465458144874E-10 5.18098775996663E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.59338493961429E-05 8.4495332371504E-05 8.43687903434835E-08 8.24744403977543E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000349019441006978 0.000151452002114816 4.11032783484507E-06 5.47828283016135E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.24838762945038 0.312618946338449 0.191378687969278 0.224988717471166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.101844497714362 0.137606272542888 0.0293712693520642 0.0461581790791791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0572083672140985 0.0794546489125735 0.00896316244664168 0.0156864151940545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0372377706709336 0.0524574527286888 0.00373848123219373 0.00689402931969649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155087079613429 0.227542713168561 0.0750469970918328 0.119651939638693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0420474239230669 0.0642358611863773 0.00479737048680729 0.0102257640633386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.019563636096636 0.0299601755042482 0.0010124842327686 0.00225827528709505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0113878566094508 0.0174498735915045 0.00033978351361106 0.000771157870845721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.149207512196647 0.18581196568882 0.066666503355615 0.0807402884526073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.041582963340351 0.0598325246353367 0.00467547152665458 0.00900096526224874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0196598974282886 0.0320498235925292 0.00102570921773603 0.00263741616801386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0117334913827751 0.0212177091659283 0.000362297367266612 0.00116570688090448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.50895625934192 0.608833807211215 0.902424685048207 0.77902939833154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.206594997029158 0.272240915409252 0.129742426996747 0.172201285159105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.11516873771734 0.158150069991503 0.0379791429729168 0.0603365706565695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.074721260015833 0.104667008233505 0.0155040825545974 0.0269060587059681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.322583435205378 0.442606418818214 0.371068842211732 0.421044284009566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0846671598081439 0.127908658195822 0.0204202536547928 0.0394137142374667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.039190726575433 0.0598613383290172 0.00415299190085211 0.00889036428829006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0227855337624002 0.0348870672504578 0.00137846345120274 0.00305265060885738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.304105055263713 0.365870131907539 0.309723941498286 0.292381814581226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0836057931727026 0.119218391697999 0.0197344763121906 0.0347698556053668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393999748846186 0.0640174643208996 0.00421454701723256 0.0103751214777907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0234017354316457 0.04239314273112 0.00146926580748082 0.00460489208471252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.04899044622733 1.17259300387256 4.37046946557074 2.61065199751196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.425607765326434 0.531401619936341 0.614539648895143 0.609314646483851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.234690471448263 0.311879944498087 0.171261832462563 0.222522228980178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.151076894103701 0.207680206669867 0.0672803262040765 0.101965381193069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.680359408153635 0.849239011483996 1.89779554478718 1.43874925496898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.172875084691985 0.25233533500044 0.0933726481129541 0.145754784096119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0788474796086962 0.119288359946471 0.0175748303565318 0.0343870055434067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0456692464658306 0.0696884871760081 0.00568131223867978 0.0119832941061855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.625253608505784 0.713517093699895 1.50075512335695 1.03154079906827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.170008504295115 0.235587947880591 0.0886238826344112 0.129193518663804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0794114030583806 0.127415260487929 0.0179428994196128 0.0400056521591494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0469701405038538 0.0845662761557263 0.00613020818185018 0.0179994766170035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.33645988050211 3.4605284141518 49.6235783172668 19.9499514723409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.35089368170878 1.50584587940074 7.46618406786658 4.31533444721177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.746405940842559 0.890617105701768 2.09345744129404 1.60872749269296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.476192123634226 0.599512056822657 0.794877109802779 0.762990543500242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.18881615318234 2.39462491565486 22.8216252332508 10.6621326796686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.55937229421487 0.718016670778768 1.21365334338149 1.05071445206753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.246302114076747 0.349066531745615 0.200978437049249 0.269809469317668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.139664460162427 0.206935355439348 0.058817208899811 0.0996509055378831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.9491940616281 2.05639459073992 17.4236270775045 7.8728230318558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.543061779652293 0.671705828868609 1.11368516735928 0.930560079483265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.251037701611908 0.369120849081413 0.212001786169644 0.305229889932736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.146254444117851 0.248316217729753 0.0678444069869545 0.144943978552279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.68155463753722 5.8026096975843 146.817411837708 53.7741571148547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.30461375681014 2.46413737108441 23.0343460791545 11.049092973649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.27760172927024 1.44346289687637 6.64892894711552 4.01902736994774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.818114051090949 0.97217321289101 2.56505531810412 1.8995783045051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.73914505859963 3.93910574197098 68.8717965187089 28.2882924329939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.971716500042152 1.16246465305072 3.99802455821688 2.6330148041476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.426812368934685 0.568424343347658 0.669135010135506 0.676439401057699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.239041294693992 0.340298686557316 0.187962803951478 0.256757217213078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.30514761295609 3.40935625111369 52.4107722275484 21.0472806986352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.934455141258187 1.08362473617018 3.63231856140282 2.29993063185484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.438292479313121 0.593900409038206 0.719879761176809 0.741294673246712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.255237085658776 0.402194124284368 0.229637120583663 0.35873428889825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.837460125645129 0.956695166310541 2.72293780838187 1.83518206635555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.337900052483309 0.433059226975812 0.382004433084986 0.423796043511518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.186773816426057 0.252753047607464 0.107877188204105 0.152008783459718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.120510234874515 0.167699776917064 0.0429016677378014 0.068826129660576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.539781432969079 0.69272904134824 1.16853592293992 1.00644524291857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.137290600663525 0.203275191846663 0.0586934922765529 0.0985800877816802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0630637620048244 0.0958366249489543 0.0113870541150242 0.0229374419300865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0365349461547418 0.0557538153421128 0.00370225204866321 0.0079157371124994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.500227553993569 0.581299069851731 0.938211403050423 0.715953856851981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.135380503438941 0.191168926777852 0.0559398703166605 0.0876543947744603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.063536967423962 0.103569395390991 0.0115765564014163 0.0268313908891897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0378241698004516 0.0691299522911304 0.00399364689642365 0.0121441337335763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.73705148552015 1.86520734333983 12.9776486034063 6.37126114665919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.701340778126665 0.837065096715181 1.85763933130938 1.46562431793069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.385057009974348 0.49366353023567 0.51145859222119 0.543240674091067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.246160784824157 0.330175009597869 0.195812079742149 0.25310327017649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13411571608915 1.32663325987029 5.80256706188308 3.49872750785298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.284526905157954 0.396852355980051 0.285713355094967 0.352961956174395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.12788371385798 0.190047041662567 0.0504065322488736 0.0867597563752052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0734757604572468 0.11117528762021 0.015632092043303 0.0307104703860385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.02745216270574 1.12989913997004 4.50619889185703 2.54634067579859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.279174613808027 0.373738716216203 0.266666470075443 0.313679744801819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129411882882208 0.204750814870725 0.0518016719148741 0.100498951067673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0764096798429203 0.137446365333743 0.0172270658573716 0.0466597394929997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.60717570612304 3.72994895067037 58.8306125884343 23.6723928713512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.45477018944187 1.61305938067659 8.89338354398429 5.077963688901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.801955957355949 0.952419198708448 2.50048810812098 1.88233528941515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.511061865469962 0.64088843612357 0.950775795835745 0.890127752040921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.35809377557407 2.56700118455856 27.0708824055847 12.7054013795532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.599888058676357 0.764657990534177 1.45519904300817 1.22792058905938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.26470271550124 0.372119423752085 0.243664566081949 0.313327835691819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.149635464194121 0.220241740534825 0.0704958958113592 0.115365105111042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.1040282980752 2.21194510576878 20.7769557409726 9.3569279934764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.584707681971703 0.718828506338422 1.34002483417671 1.07557700471586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.270789579884236 0.397092455144823 0.256912056640085 0.352263816825309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.158048661738542 0.269513356102444 0.0818664956152849 0.169867035170706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.2408678645106 11.3495640918491 587.143931408655 204.477801928699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.57025830078852 4.72719731878278 95.6529572613766 40.2080992712084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.53360870986879 2.7124012594067 28.5885706899802 14.025374508535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.62752739456019 1.80936003840878 11.3595043207559 6.45982146915836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.4274812578779 7.63763593708966 282.050393431439 108.4098531272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.96049702044644 2.18619952902713 18.1247540371789 9.4632160292821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.87567819188534 1.06522694720458 3.28455178069712 2.33519753848997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.488129040622935 0.639441645800088 0.928068703798839 0.877744169808914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.57458891908106 6.66445372283319 216.619289909656 80.8577188757607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.86768096975534 2.02420228292768 16.281608064953 7.84426224563733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.900848405521056 1.09003204098642 3.54123951452275 2.34722847508333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.536869464822633 0.74207118981045 1.19954306115831 1.12491785661727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.9247735686028 19.0325206748407 1673.85666159497 566.528666360928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.70506934537819 7.85715671765293 275.66156917641 107.950203514379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.28134975806388 4.46092829173738 84.0456033949647 36.7710445448282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.75527947337876 2.94529021855854 34.0695397852598 16.5778810510144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.6929213393332 12.9123333253144 832.445246726302 305.600288883599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.43344075839885 3.66392310910826 58.2578726155752 26.3488583624018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.55824514263594 1.77464113943149 11.2394338753948 6.33763920997669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.874905021029142 1.06439867200203 3.29870811808333 2.33905783979605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.2323082158238 11.2974958490086 642.300630758508 230.534602800103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.19748571409748 3.34288375066185 49.9791936457043 20.878013302879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.56933512603942 1.75898699175669 11.6210629482037 5.90130487730326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.956272059489486 1.17959378949604 4.2048491622524 2.70527495456556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.3222153432926E-06 1.67850223317912E-06 2.20647052008227E-11 1.35761394488675E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.20443199144363E-06 5.22338504545451E-06 3.43617714812143E-10 3.16755736817273E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.96970418111555E-05 1.05294683008105E-05 1.57409466986717E-09 1.24959660776874E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 6.41199066228409E-05 3.62329770357091E-05 4.10790986756676E-08 1.10147509957596E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.56840005460692E-06 1.19917578567872E-05 6.58225360032729E-12 5.78740662595617E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.93156421027925E-05 4.58874541605375E-05 1.23927143889966E-10 8.45374311303263E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.75982463560955E-05 9.92727573705387E-05 6.05340538888961E-10 3.95640283102594E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00024263762842202 0.000238604515117747 2.97305285929852E-07 3.24411235027757E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.60075615948729E-05 6.89910482979996E-05 9.20058664013692E-10 4.0305453335157E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.8772637700784E-05 6.53495635143499E-05 6.04860478974404E-09 1.04116268030822E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.23522322547054E-05 0.000179728338578052 4.35531426567524E-08 1.155142901863E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000545622554834288 0.00050994291520081 7.70763398194488E-06 3.32530208255464E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.133490658644319 0.288522434563021 0.0473490008299439 0.209472906732022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0546122380930586 0.119591662882259 0.00773147561194839 0.0361976080586206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0305358372265767 0.0669508824107044 0.00240244450703479 0.0113472750977609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0198499935090389 0.0433970741395602 0.00101389534780365 0.00476551362272391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0768365023236999 0.16569504360936 0.0154258396989906 0.0693903904540296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0212731075185754 0.0457539449300549 0.00115234367122785 0.00530704199526886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00994783206164094 0.0213842850947509 0.00024964946602511 0.00116158571456391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00589442638493767 0.0124917751559278 8.79355031917967E-05 0.000399816805048868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0822431720330444 0.131251545810263 0.0176118490177188 0.0437942102572773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.023034166157871 0.0426499551922211 0.00135786996405529 0.00468354763954053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0108894300513423 0.0231838539925814 0.000304418889679877 0.00139369797745508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00665292404881776 0.0156341093140843 0.000113131082739345 0.00064186918947385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.271160361732942 0.571400753845742 0.202267164906168 0.803936331061634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.109313270331002 0.239049237192107 0.0311944662390133 0.144143152647493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0610840141917886 0.133883682464436 0.00964175639604628 0.0453124897149459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0397029166092043 0.0867895952444798 0.00406097211877285 0.0190465821742781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.154472437806062 0.330558802641049 0.0635857207403001 0.273406211254476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0425545186618028 0.09150104580897 0.00462720122575593 0.0211895612445009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0198965344120799 0.0427687886413098 0.00100306346268881 0.00463589150678535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0117770694697046 0.024977281663373 0.000354615403042245 0.00158895747671333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.164828905987507 0.262113913035857 0.0718852226223578 0.172785610463187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0460713394774796 0.0852933542165704 0.005445313458252 0.018710409517565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0217787786967905 0.0463542641007094 0.00121628470942852 0.00556852841266797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0130371581387016 0.0311925988954325 0.000432228027533966 0.00254098721561808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.592826144749679 1.08096857712983 1.08282307302004 2.66454932628643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.219815661792282 0.476547900476156 0.128207547277214 0.567801504496478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122287025048825 0.267605798978299 0.0388931370644919 0.180470082508727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0794329299175028 0.17354049275777 0.016310381827168 0.0760249785484772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.317811278765495 0.651724305561368 0.283450570439074 1.03120599311078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0851833942319166 0.182940543592552 0.0186535797707806 0.0844580975030768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0398009928465907 0.085539485868444 0.00402825086752997 0.0185109365886926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0235502396581964 0.0499550106673805 0.0014269686589591 0.00633425694854373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.333018212116415 0.52022273910517 0.303976150935409 0.662948523768268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0921782475913944 0.170525048139776 0.0219277308085055 0.0745458792516514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0435625942522271 0.0927016340949058 0.00487500990979955 0.0222399815144588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0259319708046365 0.0623506001109661 0.00172154933955875 0.010116816398883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.20826887862937 2.8113242735577 18.035237610413 14.9918940379948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.747469695372626 1.33011246742209 1.72016109833786 4.02660551349338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.378484568840351 0.789777812996835 0.391307100489685 1.52659964909225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.239759869793165 0.518814355241355 0.151246050524445 0.67316830148303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.15131578539829 1.74719427981595 4.54765443162084 6.40094965595833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.258661089499278 0.546180793553066 0.177025443249141 0.741885813313263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.119667687650474 0.256651447846969 0.036750914188234 0.165873202608287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0707235376188654 0.14996705049721 0.0129785130944127 0.0568387052442374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.09013518427896 1.45083266973654 3.78953702301052 4.50824423633541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.278819567073712 0.508164607192702 0.206836364934775 0.648801495018895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.130884253680732 0.277866198012341 0.0445581555568872 0.198478632768607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777796022550396 0.187037092442929 0.0157342125309715 0.0904777860003874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.93500819609752 4.52878781908845 59.5298629928982 36.1026829026962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.38497029313228 2.06512056557745 6.47443475878357 9.01320788556591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.681173330255198 1.26118492841066 1.383523180798 3.6933581473557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.412143489055831 0.85096204172805 0.465559972887256 1.76647695062974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.10938202497836 2.7412537438761 16.3494849256011 14.5631777347517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.447143668013475 0.895824408400043 0.556966854027149 1.94064424482215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.200438509327884 0.427715664670863 0.104145600066415 0.458263136622972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.118141066670815 0.250264397767293 0.0364278511610496 0.15779026545779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.92961184651774 2.31975585559687 12.8209841398481 10.5360207067226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.479351562588238 0.825734706039168 0.646438357092203 1.64406935510418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.219495107062499 0.461174044774156 0.127667046016125 0.540241170955504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.129867787458578 0.311600385236826 0.0444664206069106 0.249686466167748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.468402418965469 0.891201125150853 0.668458723472505 1.8985991792524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177985791803829 0.384432100365579 0.085799077035463 0.381633846073626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.098871423659207 0.215289048003776 0.0261134260170205 0.120646935791994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0641080159631628 0.139465190317943 0.0109333895204667 0.0507466269462394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.253089258186286 0.525166010149745 0.181115997036766 0.694678628536187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0680634615166394 0.146781701803206 0.0122777687458485 0.0563321070745653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0317745728369367 0.0684356308029275 0.00265769292464797 0.0122904438901015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0187743538865017 0.0399230499367264 0.000936102172621603 0.00419582904016449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.266914575189516 0.420376659675496 0.198038047412703 0.445531388717112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0736677259626563 0.138125275514287 0.0144157501628065 0.0497100350460805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0349075010423348 0.0755647720409232 0.00322488321736377 0.0149383764681185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0208882700141701 0.0505930779052557 0.0011481185156559 0.00674175812166184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06972712218877 1.62609927337674 4.01342559724364 5.67029087779772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.368760952348858 0.754234436137865 0.38947633842068 1.4200744526984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.198610175997892 0.42951478109009 0.106814891015594 0.476769181052788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.12836895360716 0.278730998205085 0.0441239118884237 0.202061702223914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.548001716057729 1.00513176719151 0.948513399949479 2.37826593036109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136535147457324 0.293238552333111 0.0499479097846713 0.223635641489291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0635886867376266 0.136877341610416 0.0106906355744077 0.0490602743630579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0375612166882596 0.0798616003741261 0.00376713949546507 0.0167442107173085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.550249012739266 0.819908616677485 0.899995522513053 1.60634120691096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.147576419882261 0.275882504727875 0.058476251607481 0.197108356322899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0698348326778406 0.151080293607438 0.0129647103777843 0.0595824128688459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0417010094761166 0.101140148917671 0.00461189800928839 0.0268550105605658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.42163680571267 3.00829733962249 22.4204615781376 17.3299948022438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.826726596960578 1.4071398138676 2.22819499627845 4.55110699179487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.414700100888428 0.839865880318917 0.496520176780763 1.75637958660128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.259372642409462 0.554429113010336 0.184079901605682 0.789737487903059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.25730206489691 1.84331830600374 5.66374019270516 7.20671991878816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.277597127599521 0.582599137023791 0.213532261177717 0.867831494768784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127514716682636 0.273771249811482 0.0433445865303007 0.195469863933134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0752346791116012 0.159836761486312 0.0152076023549409 0.0668742880602172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.18223187682924 1.54284597638389 4.63843323374008 5.13233628196657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.298479708615314 0.546868399436239 0.246646782435172 0.758599840532442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.139872919486033 0.301744598632646 0.0525992348949871 0.236373740481401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0834248380838929 0.202195564891164 0.0186765965441275 0.106851921102187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.0960098182897 8.65903663529971 263.786733366336 125.695588506129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.00201503886828 3.69263323971344 33.7709823873643 27.0979341474927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.51488151380812 2.21835647935095 8.00078459749899 10.7287878738323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.897688306261874 1.53090378380205 2.60332030516853 5.44439213754432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.45833749737707 5.06206691482894 78.5684667935882 46.8038755358848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.974229450578659 1.62576429397605 3.14807764194186 6.09931286090385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.399943489551795 0.814993318346251 0.457971692325974 1.67303715295359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.229408573857175 0.482447203753936 0.145453731202381 0.600983527302611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.99344272387521 4.36926709628157 59.7845690883267 34.4266086575925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.0087716527612 1.48194710173867 3.37273174961323 4.89328586893387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.447330605218074 0.86104098231494 0.606877087105486 1.78832594102606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.256858435469933 0.596079683686078 0.190947961127218 0.892069023197991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.8225394442425 14.3745365587724 775.89891984833 333.481446542388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.26403692729935 5.95033970407364 106.492663936591 66.6024455360892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.73327842214959 3.47304457020603 27.3361383770767 24.7474536699351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.64457067151871 2.37744217457895 9.39448144121432 12.3208204667338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.82480859022404 8.41318299141526 247.179607947279 123.11905857586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.82395563850472 2.57654157829451 11.9575773227389 14.3639798033398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.729994446227119 1.33126694904971 1.68803089295664 4.24196820644215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.399474320530177 0.808774002610009 0.46732107858746 1.64402093836246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.9167040250742 7.28718158343011 184.638801509866 90.227341500207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.82308083230752 2.3306885452903 12.0173003525709 11.1415616686701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.822933526019344 1.33230527444625 2.34779682547167 3.94774829951743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466006504450591 0.939658251347998 0.724309050599965 2.05773388538963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.59967543615298E-07 2.05339425769322E-06 7.20153714631276E-13 2.117971476265E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.71831637641402E-06 9.57677211492777E-06 3.24562903808233E-11 3.93828804721522E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.86059968496255E-06 2.1176896620592E-05 1.50302241261979E-10 1.90267478727699E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.83186662912372E-05 5.8792352593856E-05 4.11147176532639E-09 2.43272964135607E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.28244115203596E-06 2.11933749366141E-06 2.14929977382489E-12 1.4680136536565E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.09699412232842E-05 1.03198609388962E-05 7.36694681154006E-11 3.9217828206248E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.71764808281144E-05 2.32798800202081E-05 4.08215911975929E-10 2.02573587481392E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000108800844438962 0.000107473754795437 3.86950158327535E-08 2.50455055886129E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.8365771762762E-05 5.42571397973815E-05 3.29376033711309E-08 8.78679466780879E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.53809131819304E-05 4.19216931559932E-05 8.47243321494247E-09 8.13019347144274E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.02005856438915E-05 5.27245806804651E-05 4.59586862214309E-07 3.8767466950206E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000304443842595638 0.00067837475353753 1.82861998139388E-06 1.74654640468571E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.288893491847889 0.207373931716749 0.215994172356515 0.102115218442664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.121876920234878 0.0849170900273448 0.0372193192003464 0.0175269355537713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0693759437373627 0.0471441498895303 0.0119496472364483 0.00542600455264143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0454932611744609 0.0304388337899435 0.00511849664017174 0.00226390703220311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.190485003691922 0.109532754624307 0.0923582539677465 0.0286280870698473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.053133188436084 0.0303542490173721 0.0069865736059526 0.00224041040054931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0248676493419488 0.0141876813632505 0.00151920233544446 0.000490401458620314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0144768891310708 0.00835734564599625 0.000514016431936324 0.000171309397710864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.153634070703676 0.115572427942792 0.0607428702995547 0.031950740531019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0485364170054047 0.0324084882293835 0.00600076004140977 0.0025525303294544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0256777484019675 0.0152736476807753 0.00168673738036014 0.000568042062226905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0171119154155017 0.00934651305907041 0.000744216095704125 0.000232863849911465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.575015962342566 0.416542118291212 0.885988245219762 0.394743139249484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.243539167225837 0.17002393320249 0.150516044198432 0.0690652446177352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.138705543972237 0.0943296781168057 0.0480951381036537 0.0215153469571951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0909723309465814 0.060889512320118 0.0205544846018253 0.00900817532020759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.378670000879341 0.221337989875404 0.373448852849887 0.113113734715474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.106225969323052 0.0607504037309494 0.028081046793019 0.00889174018387962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0497329106499061 0.028379171402998 0.00609549976237682 0.00195337840919369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0289527550859106 0.016709406652652 0.00206174540919844 0.000684548276752161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.306258688583124 0.232078841631678 0.247516132260186 0.125026849926962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0970416368434655 0.0648443641487617 0.0241135771199712 0.0101354015628721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0513462175069784 0.030551731878683 0.0067615351402042 0.0022655892133747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0341731109868432 0.0182479409203176 0.00298691675948517 0.000842608570729561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12691465860204 0.84793471897407 3.64201677836398 1.51636594846163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.485377997216465 0.341539380261389 0.612865495541706 0.270103593088186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.277036011819676 0.189001480617486 0.194483227365983 0.0847950489949041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.18182849096907 0.121882851022533 0.0828248566542099 0.0356640830676876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.742598280853102 0.457113883929988 1.50471299368525 0.458818810357453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.212118790313059 0.121850932659939 0.113186643270287 0.0351626688161313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0994428470259725 0.0567932848815437 0.0244962096050968 0.00775886648055334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0579043467719121 0.0334235742314595 0.00827604208744435 0.00272905019705087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.605993145889899 0.470068133912374 1.01780989224242 0.487743022616982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193829744251808 0.129915306879239 0.097251838217359 0.0400136626477356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.102654852856717 0.0611398624771089 0.0271585348266842 0.00899942593987408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0683067156133587 0.0362295555966486 0.0120001809717337 0.00324255774716534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.16310454893882 2.76636998839825 34.553827860858 13.3795377419912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.41230844482016 1.06064951387688 5.6919634420802 2.36753893172108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.820594583659307 0.576608957519517 1.79716227661707 0.7430890830599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.541964425597849 0.368865156204379 0.761100350498465 0.312939383146536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.04763042102168 1.5385754271507 13.5065725848408 4.59944556741511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.627026205310263 0.375553616149958 1.0323958762208 0.316689695868723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.297530126776737 0.171571395051544 0.223495714361059 0.0687615092124016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.173676219109648 0.100524234221835 0.0753346058381691 0.0242578434084893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.72897415904951 1.47884473695502 9.7409680817792 4.24384269219423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.574003855230121 0.396329633501743 0.890823893692644 0.351060654032568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.306743161440651 0.184545081061277 0.247127009620895 0.0792820189547781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204557309642474 0.108720376678848 0.109098997046704 0.0282097791946006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.1975931245074 4.79659570412898 99.5889197550796 37.4402697306887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.27480366964093 1.8355808046255 15.9708969738909 6.60851691982824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.34158230788887 0.983800899654961 5.04125334123061 2.06730785840279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.893446679334436 0.623681367170545 2.13622787129688 0.864650620209871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.26643274838638 2.72205962850008 37.9007224190505 13.4108217987261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.02362982620375 0.64969851355853 2.87302399616733 0.914725108381582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.493418688027928 0.289747822311393 0.626415421760924 0.191394946906045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.289335987840079 0.168429321045773 0.211462050355784 0.066958134237654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.81094461040389 2.5421531218265 28.2385342218892 11.6389470787539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.936811917945069 0.676130176062461 2.48494680619502 0.972832292147134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.507093117940373 0.311212448131548 0.688586871826349 0.218303363481413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.33978415271124 0.182228623106674 0.304742028198058 0.0771879720483558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.908598916949746 0.672427738511148 2.39010881048855 1.02379212285578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.385451925360411 0.271009600515168 0.40038150632027 0.179734005831878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.219252011709004 0.149697046695331 0.127190660601141 0.0560533278379395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.1436321582196 0.0964332245368244 0.0541658183142124 0.0234919286527245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.594326098709676 0.358425156144889 0.983481725823671 0.301163331289045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.16697744571572 0.096005990930714 0.0733830939533283 0.0231282345309597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0781897408151917 0.0447465917962198 0.0159257108278954 0.00509494785908116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0455966764832235 0.0263863526152919 0.005399467972921 0.00179217120808076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.487042017524043 0.370631952846079 0.665257118747092 0.3232532241573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.155673488437174 0.102213194673676 0.0639223289672089 0.0262459480024905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0836138556144483 0.0481745795926458 0.0182108095437974 0.0059024465557626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0552572614720389 0.0286790023606467 0.00793295993183928 0.00213258331063376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.74561771336077 1.39810594082258 9.77823841631894 4.01459914796284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.763336561139304 0.548359113802552 1.63075119221801 0.707939259792339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.436733613182434 0.301035806175681 0.515326274902582 0.221140134645624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.286697916030269 0.193398811887279 0.218728964328024 0.0928744610564453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.14339129350298 0.759300660790302 3.92071564463469 1.28351176411638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.332344833063534 0.193734283999964 0.295521242357291 0.0921923984785741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.156251726878784 0.0896849848191131 0.0640783160409813 0.0202336369188258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0911844357025224 0.0528142194706825 0.0216970788473015 0.007133867496465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.952945924792937 0.758844813867559 2.74441417994282 1.27637267661634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.310171749207341 0.205482026885541 0.258184847958334 0.1036200987824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.167051044955307 0.0965123557976084 0.0732500675656103 0.0233868693450965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.110452377097933 0.0572985245853679 0.0319001848924844 0.00835883579389766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.36320068089174 2.97091234718852 40.7746420349546 16.1387646130575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.48305917278868 1.13108658197302 6.61356203204976 2.83560598386494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.861953058751692 0.61248423017753 2.0890788869789 0.881641920040668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.569346368770272 0.390539154406921 0.885346761264075 0.368195559795863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.14818281373943 1.64718042553493 15.6528989906551 5.57749227661999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.654538925153159 0.398482346699815 1.18503817384775 0.37895280456262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.311537919793648 0.180833172790185 0.258430392038912 0.0807065763305884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.182310379595476 0.105974577139116 0.0874970309871316 0.0283612111064069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.83202661383851 1.57292367612223 11.4340775936011 5.03345315773505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.612281262712742 0.417846282025409 1.04207103377911 0.411695819997852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.332734844994465 0.194251367305983 0.295024500891512 0.0924001884127728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.220555148438575 0.114955867042973 0.128533589226042 0.0329025624043036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.97336855185059 9.57700467695642 395.802221571254 148.044539397703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.16023437679082 3.68687896686627 61.4663663921806 26.1370445446978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.43158666065038 1.96706964143887 19.0012693762643 8.21412554442614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.6365206401951 1.23297783920644 8.03624949942247 3.4124581450399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.06790764314389 5.54443917154028 147.987274771147 55.2279899977987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.84809394467121 1.33815830916672 10.7097212341677 4.00494691356256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.915416487609485 0.57714900469358 2.37045298549977 0.787254849554742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.545856846914012 0.328188860878196 0.812480016404286 0.26166981164935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.33714325693555 5.06744537972377 113.980263213991 45.1215774640402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.70734050886916 1.34158141117071 9.428513069032 3.75183197591844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.956380355224497 0.612138559680139 2.62625931480253 0.834743445777931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.649100796808699 0.355992300898474 1.16232703283951 0.292749481252686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.6585620536967 16.2589711288164 1126.34432711826 413.602261152111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.814969381152 6.33121018217414 174.008074029028 72.9130307928333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.91498923522954 3.40197098790163 53.1073653375205 23.0752219407562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.62671120737191 2.13151586085166 22.2514720926836 9.65880041864542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.1530496452132 9.64686329448627 431.858336861995 160.528315631387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.99698604060499 2.40429292625488 30.9223195213738 12.313647451104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.50402265578711 1.03413518336025 6.82510531061553 2.45930877250174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.910426931595499 0.57660269082951 2.35612637759413 0.787782617827453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.95840009120141 8.70507141430366 333.771653262094 127.149837784119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.73458086109201 2.34010695886977 26.8510158425347 10.5441573217514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.50896956742341 1.07549872392754 7.22676153355731 2.36522752635346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.03913603829395 0.62310114445345 3.18794710311585 0.82824766823175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.88924817250622E-07 1.1287455041783E-06 2.84531451452328E-12 6.68422944845153E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.42279133634748E-06 4.02250868034469E-06 5.39415755290505E-11 9.96103402252346E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 7.1832800357515E-06 8.5903919369422E-06 2.39259281327273E-10 4.72809858225086E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.73583734630876E-05 4.33316364750873E-05 2.64979758155283E-08 3.15572177525391E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.72997084409125E-06 2.64230110660688E-06 1.03177123436851E-11 3.43278390671183E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.56047362837204E-05 1.2957050354526E-05 1.12211883169881E-10 8.32009777404963E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.4324234462511E-05 2.91972013435471E-05 5.03814662025639E-10 4.22206882721925E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000139420895333482 0.00013503436939958 2.71331251707326E-07 3.15341750608478E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.80182689816081E-05 0.000137204178684751 2.20537179866835E-09 2.01986263019672E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.4376044580413E-05 8.0639404762839E-05 2.30894603180464E-09 6.65641249406113E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000104550219043445 0.000191094304049465 9.08317804192682E-07 2.71279980415417E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000726841064059157 0.000562012448210415 9.94809256885396E-06 7.72157589123172E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.297714770819489 0.208406472346973 0.221560468788015 0.104216664428384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.124764327775946 0.0860579457053719 0.0379170677218239 0.0179007374886155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0704914386194179 0.0481173268777461 0.0120088919304662 0.00559283646339475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0459900861119438 0.0312159976725358 0.00509465624713636 0.00234992626326133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.184534283272977 0.11691045582126 0.0843516150958041 0.0325498093609709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0514951545825046 0.0327230149764234 0.00639341555785826 0.0025602340625045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0240110993885749 0.015318891779644 0.00137884500228371 0.000561466461981899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0140008751730654 0.00901147338239525 0.000469814916545812 0.000194878559201357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.174757827956204 0.0930989858178689 0.07530030953425 0.0209392129001102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0495982134890882 0.0297265551743659 0.00597444854054342 0.00219438141261494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0235716022388203 0.0159762662552012 0.00134791541938665 0.000646807609733174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0142466854625502 0.0108103400454416 0.00048284466978359 0.000305690381715024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.593722598582001 0.417929042361594 0.899651326181074 0.407246496853873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.249417323469681 0.172208661030909 0.152656183599455 0.0709375051825396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.140961262188603 0.0962541656122767 0.0482127543300406 0.0222528559082496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0919736865100941 0.0624383063174584 0.0204216594754113 0.00937170153105413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.368148205294012 0.23470970398375 0.3413798811905 0.128058632066063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102976963700812 0.0654630204836847 0.0256668210247683 0.0101854052100874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0480221436199861 0.0306393435669339 0.00552772053220486 0.00223871899154296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0279999789046682 0.0180157761716575 0.00187895790665184 0.000778992341869348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.348856709209088 0.186809056475948 0.30340805103892 0.0827213290027243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0991864602071789 0.0594629824789382 0.0239898583143941 0.00872919738794026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0471297776797825 0.0318746642090812 0.00540771298403042 0.00255811107361944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0282369859821089 0.021383000745803 0.00192747694286218 0.00117122493880292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17176337871592 0.845634574620569 3.65699688328589 1.57406859481137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.49794594540925 0.345159259368984 0.61742055126963 0.279273927564851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.281751171741695 0.192662941739576 0.194159487970362 0.0881524133888061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.183896117081912 0.124922527500472 0.0820491378362006 0.0372480979322186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.72957678587519 0.475890957143042 1.38612382811887 0.504541235017801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.205840928911404 0.131064264399299 0.103334056088333 0.0403673114359321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0960421936132295 0.0612938094956143 0.0221889581944614 0.00891143239808192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0560038999803824 0.0360348262321132 0.00752751014896609 0.0031105528076065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.692574021256612 0.378417118252126 1.22297415104324 0.327535037211783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.198287604425353 0.119006780308306 0.0966757653441345 0.0345339297716463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0942468826619083 0.0637086853177804 0.0217644499066532 0.0101255132076732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0563525519971614 0.0426424255631812 0.00777829707281085 0.00459166790150492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.25724303250076 2.7353406323734 33.5774842404442 13.6207418646986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.46506813391448 1.05891328770332 5.6690407759069 2.43916709658777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.839848175788587 0.582795473890093 1.78026649037392 0.773393190847999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.550066787574773 0.376192072439323 0.749094738198613 0.328475113056082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.06817562972145 1.5384402188984 12.6770920350218 4.68288455809818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.614053511201801 0.397426572249038 0.947479440345687 0.356504324065613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.28801050244757 0.184391509018198 0.20220389426226 0.0791078540088851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.168103581676482 0.108245435762149 0.0683090255878308 0.0277844377118768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.95054090638064 1.25070187589696 10.7790130302631 3.15844107349226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.592142116550985 0.359529075067534 0.891112839873582 0.301459723353536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.282510356820017 0.191242931872079 0.200487569519314 0.0884252920723384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.169005375609157 0.127872947174499 0.0718500649783923 0.0400802445078697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.29267849207077 4.764511575947 96.2507026153421 37.9338926512104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.36650839207506 1.82237633898835 15.7587327672851 6.75658923465294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.3828521727353 0.986092484891385 4.98048163192677 2.13226434501821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.911570744064733 0.631543112527872 2.09877532204076 0.90222021792179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.30641301203231 2.70348818271627 35.6846706785277 13.407763118541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.013716148562 0.674583141560491 2.66073713511636 0.994002902457457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.47961079282808 0.309015301545877 0.568175316259096 0.218276712022864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.280440408019852 0.180889904786603 0.191540519983222 0.0767887155323954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.07000093370864 2.26342423243607 29.4613601275445 9.43957967209137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.978616118956132 0.606765242606921 2.51430099577942 0.828014217741837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.470166537524016 0.319312864958968 0.569047288462946 0.2399115632368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.28173924541091 0.213218857666249 0.204181202239366 0.108813004473931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.925873624798315 0.666319390484684 2.35831973093406 1.05028732546655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.387411198809777 0.270476453701143 0.395441001199949 0.182906032011467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.218309952651131 0.150320401036615 0.124315102768803 0.0572687013132459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142274423364863 0.0972387921675715 0.0525765029892016 0.0241040305595982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.572616275043947 0.370818803680435 0.890500956872941 0.330192651689908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.159096630423293 0.101111549006385 0.0659410237017904 0.0258899653678174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0741907516238426 0.047097650314745 0.014242506025678 0.00567405194719607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0433191829314231 0.0277055915188259 0.00485319549161883 0.00197894846518947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.54368065319716 0.297249219313766 0.788617156176116 0.214823375744626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.154124316592268 0.0947521023573393 0.0620304408763485 0.022648516372437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0736594871712639 0.0511296448656685 0.0140884161091359 0.00666254344792604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.044411356224821 0.0342914343649039 0.00508026041205054 0.00302247185642091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.78562262129377 1.36680987158177 9.48285004346234 4.06721522534829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.770452429906289 0.54445130050537 1.59953549693592 0.721319800888668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.43572287839353 0.301424934802728 0.501386138522552 0.226594785279671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.284272136194741 0.194719047267025 0.211572234632173 0.0956192818521261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.1207492031277 0.764944181093899 3.59652642302102 1.33786386638383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.317588746958768 0.202922360065039 0.265839037159184 0.102656161913544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.148347429175265 0.0942839377507225 0.0572409394800005 0.0225640337588434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0866407811478019 0.0554284244218034 0.0194642871584594 0.00789064149826608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.06625528704105 0.614287696687124 3.14707135601833 0.876628126312205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.307817454035599 0.189913828793702 0.250687866039093 0.0893187930405168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.147279805389382 0.102276955459066 0.0568813640602078 0.0263101621814166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0887357104485425 0.0685210118865971 0.0205552309650875 0.0118937486874383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.39349321204811 2.8915439117379 38.7759153116154 16.0665557222895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.50947051409023 1.11182738722177 6.43388238809014 2.86735011177861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.864933187852854 0.608479489327713 2.02370061252344 0.898462979231578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.566468519011086 0.3912390325341 0.853253350055772 0.378633903255855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.13692022147378 1.62155940101343 14.4641200605293 5.57760770874812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.630965264778166 0.410851311877264 1.07363387304664 0.410408763528507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.296443871338932 0.189245407981233 0.230875949149317 0.089670513263128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.173322354012556 0.111040412947797 0.0783242116654762 0.0314152068079407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.01563555911165 1.33385318380948 12.2723631980877 3.80131471731324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.612452688236639 0.38279542200149 1.01809185266009 0.35183312309739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.29430249609747 0.204781127947412 0.231540943673731 0.103037273925617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.177429466156862 0.137092540730222 0.083776561206287 0.0466015353201932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.92951341422267 9.43169504858706 377.165297821783 146.640492009815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.1941295662057 3.60154768218061 58.4226942596782 26.0322282134536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.46654737504221 1.92301887687576 18.1680125102328 8.22499135310597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.65043706406765 1.21335104696741 7.6989928848063 3.43580832548166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.01031683208508 5.42891359689859 137.671468687565 53.7828443804629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.82729582903939 1.32369874392927 9.86712164462558 4.00837994371386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.884277980828647 0.586557215672423 2.13953451880522 0.828403247768657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.521864831394521 0.339006521036352 0.726737800535551 0.284545528741707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.48462440751114 4.69714190077216 110.886282333767 39.444501868137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.76498322219958 1.21766616686897 9.34848365213832 3.2592745272031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.87632188948737 0.621223990396674 2.20877553081805 0.886141236523452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.532498271193378 0.413031645307677 0.806972454521281 0.396931497100057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.5724358490638 16.0868596445292 1079.10345689561 409.755451747287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.82089534359049 6.21637023708914 165.124329496192 72.5807225872094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.94874849862072 3.32493605432143 50.3344928637021 23.0274148703847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.65655961630485 2.08590702687049 21.1691424087127 9.67246365165269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.03870378915 9.47514179667872 404.466800418173 155.37381789205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.98332803261408 2.35082155780177 28.5339624513134 12.0830938311916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.4698930410995 1.02716886470568 6.18953997162598 2.47306655037146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.877275986396857 0.584156477230543 2.11129818601708 0.825222373458212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.03249837273301 8.26186232922868 319.025679545876 114.966162648036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.83070024242907 2.16297466982253 26.3034431801589 9.52091839553424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.44287081590027 1.06141629341406 6.41467081232663 2.45998600139082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.88825773707499 0.695254862130358 2.3942397063297 1.07592124218362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.47354843519763E-06 4.03854551483348E-06 8.66692649003905E-11 6.5953775202673E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.40901471465297E-05 1.58503734326496E-05 8.80408518034047E-10 1.22307495923041E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.98427075132792E-05 3.34680123378572E-05 3.9739883882206E-09 5.68541903078104E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000101010165280706 0.000104369475564788 1.29698857198449E-07 7.70651848593382E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.04442517222739E-06 1.26304939069015E-05 4.39326412508672E-11 7.28085238905523E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.07405103290927E-05 5.34892358566969E-05 9.1255039719902E-10 1.28694599721527E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.99753235413195E-05 0.000118985075794149 4.55170341753831E-09 6.30268510624468E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000270012885849629 0.000348579269026494 9.61160656694258E-07 1.00872595499335E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000103427712919715 0.000353285220093558 1.15829527889374E-08 4.30182260271675E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.45851914000422E-05 0.000152447031055148 6.30857742259301E-09 6.9859729143124E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00010352921230946 0.000223979982581844 2.19033562225259E-07 1.07189988035063E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000954033810450794 0.000734725658997826 2.55305470151737E-05 7.15668262466341E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.217690311382098 0.282903579721372 0.121661520862063 0.195123890709048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0898350917428182 0.118174199812678 0.020180799350129 0.0341437382696737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0502252418955491 0.0667656037648215 0.00625399906750327 0.0108866795121733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0325575548122153 0.0435663899908768 0.00262107619356742 0.00462478343327085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122682259853507 0.17500914211103 0.0381450269601173 0.0744654688782515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0342286928413776 0.0488355662573859 0.00287331827335852 0.00580880629990862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.01600651724528 0.0228289062108144 0.000623025875205782 0.00127016987683336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00939412166019482 0.0133389663692572 0.00021679841908474 0.000433401512856093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.126934151633474 0.138766359353794 0.040518549509038 0.0472736422635002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0357161606614422 0.044854284593575 0.00313084286085546 0.00504283207014971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0168224466681378 0.0242695663114408 0.000693809591372918 0.00148832313566937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0103475513100708 0.0162737853131824 0.000261917711579361 0.000686080047810176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.435710917534352 0.565072539173551 0.499701380871196 0.763197494169516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.179704531294404 0.236302613993134 0.081492024827902 0.135571610183714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10045798879537 0.133521859022395 0.0251419125285082 0.0433812749124095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0651182695855508 0.0871304610594798 0.0105067016559583 0.0184699929817185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.245875845009015 0.349486684517407 0.156917875739683 0.292291101632823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0684686413374743 0.0976606181377459 0.0115629048860202 0.0231341528109908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0320133463755184 0.0456569565704794 0.00250228508180481 0.00506155773106887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0187602341450536 0.0266539118768029 0.000863395467095518 0.00172586980758765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.253958265843998 0.277429844845531 0.165132751024858 0.185940473862037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0714408964408583 0.0896985927531925 0.0125873458432855 0.0200859445173664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.033642824129564 0.0485127493733604 0.00278039614438953 0.00593734876149649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0200522436783845 0.0323492288116622 0.000973032399246968 0.00268850984915148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.874686074356702 1.12312586509417 2.11938672035123 2.89095718737513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.359708190750825 0.472213150090888 0.332602532169455 0.533761101703114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.200981481987795 0.266962880507707 0.101665366399293 0.172095590477833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130256969143334 0.174236792004447 0.0422951949029775 0.0735264744068273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.495507411413005 0.695125430166791 0.668508617550489 1.12093320677715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13702794467954 0.195246751063651 0.0468288977327495 0.091764497711095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0640350401365802 0.0913105693647751 0.0100671533426585 0.0201590866851808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0375114314713662 0.0532962945471333 0.00345682311083405 0.00688303769114341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.50857035332128 0.554023508408893 0.686137268980373 0.71959314740033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.142944034762737 0.179327964312555 0.0508851114304855 0.0796745916995725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0672963745568635 0.0970002252853357 0.0111798561458877 0.0236571176865641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0396799621682367 0.0645920261976319 0.00384764510112834 0.0106552057795569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.71812513926145 3.19660736271443 24.3143718034172 19.9911826801762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08954348277196 1.4027106125915 3.28750779608033 4.44169862846028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.605160817698902 0.798197333076599 0.961141492368492 1.49103115271784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.391424180227444 0.521869683525776 0.392319170054036 0.64667420707294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.55502796540796 2.01240868905444 7.67158493035831 8.46053451520225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.413798303909976 0.583692637130257 0.44679693558532 0.796321595108398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.192452436788949 0.273890171987584 0.0927405172739633 0.1789667390579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.112637896634005 0.159943268099946 0.0314715094230268 0.0615293887536502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.53651369050252 1.6426618175548 7.08209183062971 5.72804317477656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.430629734172453 0.535979611081618 0.480424520632035 0.690348662029449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202258167916198 0.290637279267512 0.103133264375058 0.209417490631201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.118728056980234 0.193647345691104 0.0352391122662696 0.0946496121651602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.68396372216117 5.20108783745799 77.8578538017927 48.4320521367302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.84376686631028 2.2948176960701 10.0808560141726 11.2309850730673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.01579100822789 1.32148455842209 2.82205482674119 3.96003906348433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.654548169570008 0.866979706398243 1.12746293056189 1.74917940659435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.68636452251213 3.24955444182711 25.0186412184625 20.5706731614912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.697527625099577 0.967286787171653 1.32730544990323 2.12623318315986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.321950223038919 0.456423929610518 0.264769839171038 0.490698386740435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.188131730820978 0.266844441396107 0.0887223178358902 0.170050417323345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.57374058030765 2.70441311084862 21.6985542249445 14.4370298812535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.722877556356193 0.887331462919582 1.40828751966419 1.83436641322457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.338317785048943 0.483235733240286 0.294946423164758 0.570377757727523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.198205452578991 0.322610397728417 0.0999659582622365 0.260047154138995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.702125379764525 0.894490305183283 1.39301889250764 1.9391317262168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.28644730162187 0.372084989551231 0.21966224194812 0.350661372172385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.159282883043244 0.209839326018989 0.0670078180829398 0.112704738203475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103040130931516 0.136730353963817 0.0278702407782254 0.0480385373924243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.395027301770227 0.552792014610046 0.438358486863316 0.750794164579451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107713419512222 0.153024933178131 0.0306304440069614 0.0598353857012489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0500421067345897 0.0716927851912574 0.00653570556320794 0.0132391444121962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0294229872121567 0.0417702998890565 0.00225599393155838 0.00450774252858894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.405253544130747 0.443475423246064 0.451104102762716 0.484012908262565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.112381618318308 0.144225568673716 0.03324641003227 0.0532916125135369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0528009784492594 0.0786566423317295 0.00728318787006954 0.0158806954987484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0314367211908801 0.0527623294258652 0.00254693191040536 0.00718604308202573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.41685258834624 1.752578375231 6.20071362626151 6.92601408180959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.574366533421801 0.742140386424603 0.9122084461367 1.36198728220338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318904249474387 0.419276098633507 0.273436167852696 0.444142376509609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206183039469201 0.273335335807891 0.112838519674491 0.190430416581826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.804211158968009 1.09079395538685 1.96267669307531 2.78486650816298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215846959516684 0.305728589847958 0.125337214390282 0.235925811406453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100141451476611 0.143379747052932 0.0263928247108466 0.0526413990676095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0588607557999809 0.0835447734026433 0.00906261707294696 0.0179710369039583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.812871525953736 0.883621424779232 1.92049352537638 1.83830466335385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.225015900693947 0.288173007545011 0.13543009317148 0.210163695457334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.105654124505552 0.157258131572377 0.0294077960335749 0.0631090995283182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0626472149333191 0.105473032269036 0.0102358788016814 0.0285419793552527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.91144238854348 3.36180626536518 29.6229670178246 22.8265448006432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.15974466497002 1.46839673411708 3.9636516697154 5.08077486806565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.640479164245907 0.835307744589065 1.14405761647456 1.71706749406972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.413193736277921 0.545647520708359 0.463947033441025 0.746235816806113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.66714614979217 2.11467080331816 9.44098233896902 9.71457285691819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.434771928990638 0.609206000624643 0.528744586944167 0.914540233153637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.200753300753704 0.286723207483094 0.107858487394062 0.208234169166325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.117865454840044 0.167186397566918 0.0366511939317164 0.0715244352206851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.63361748971923 1.74744265654421 8.52433860028795 6.69931447779873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.451931738044179 0.574207245261944 0.564359101347203 0.814055158373732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.211721268681918 0.314130060425575 0.120187693439845 0.24877249973239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.12528333861214 0.210887239956211 0.0416162507299606 0.113083620394323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.36972886651277 9.85882071683742 343.756242076306 166.517218221675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.62864342035741 4.16456227754508 45.7208692714245 35.6857946287796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.9745713451452 2.43048826796735 12.3148018688574 13.2404298865002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.26007299626157 1.60945590940012 4.72186804833961 6.0843697928852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.43139915391515 5.99732309426494 117.377724472175 68.1965387394263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.36691714008197 1.79180753272905 5.969288157355 7.30949553108674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.616287563304705 0.860571469581296 1.09195807708537 1.79799583245236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.3584835807804 0.504970932791708 0.352480240015206 0.636642627272691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.0080894464514 5.15924424546235 95.5437209244378 50.1484997140911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.39117557828613 1.67197849824326 6.0414517953401 6.28742567733469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.647245326808516 0.930246239658954 1.21354085212995 2.0653139070406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.379628306894766 0.630500297112432 0.405848195258353 0.975428298306718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.9961509586321 16.4862509272377 1024.50320773979 442.618683552452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.20858380670525 6.78310313402205 141.819905590303 88.689024613581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.36134341029807 3.92513881227109 38.4311999623966 32.4773609020138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.13579620605225 2.62039805179601 14.5067751969079 15.3094412775454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.45469281842332 10.0226820376905 370.359925917792 180.197034915517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.39521257739329 2.95837207610328 19.9548368280111 18.9076954623331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.06731521332964 1.44245618634388 3.5137836436747 4.85873088308335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.613750722551538 0.853401479296135 1.08158385748988 1.77215140778523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.55020406279366 8.70700569346027 293.23541284733 133.877616683196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.36155301638088 2.70226340491699 19.1594658756125 15.3250549310821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.10772931341998 1.51481570919546 3.85641815064413 5.17183245077283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.646741647427642 1.04196283480916 1.26109753760227 2.55374997414616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.770712277672E-07 5.60762450901388E-07 1.57806364166244E-12 1.15628156641165E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.19567125112887E-06 2.17887176598188E-06 1.01411039667526E-10 1.88392126106355E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.42978909462595E-05 4.8905829160129E-06 5.63486348984873E-10 9.26235669876384E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.54908219633024E-05 1.55819096094942E-05 5.9486305725053E-08 2.55252407070576E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.57411050699294E-06 1.35873087816101E-06 3.07600889326716E-11 8.22257477258751E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.89279884745173E-05 5.33601759834446E-06 9.04276786363313E-10 1.24952393836216E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.43831322360795E-05 1.1594158429548E-05 4.74534531296361E-09 5.89126165573149E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000195931138258566 3.4212139212491E-05 4.35851943633497E-07 1.16552137086891E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.60022607552106E-05 1.09081193845792E-05 3.63340821302237E-09 2.07520916606571E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.38702040344392E-05 5.48653501146852E-06 2.23936042883734E-09 4.53690743230894E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.22908698891392E-05 5.62473644295409E-06 1.59068628238012E-08 2.19027569345876E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000614624951918291 0.000107127894846647 1.42691256169063E-05 3.91495312076485E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.271594745170793 0.146817510075484 0.19740267953457 0.0509085371211839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113900756659977 0.0591590157295952 0.0338221021863801 0.0086054721705282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0634427797705428 0.0332904346841399 0.0104145233220979 0.00275183533774858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0409483075741161 0.0217290717792501 0.00432560817799471 0.00117709075391512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.146651145551856 0.0907440654575247 0.0562930222481822 0.0199738593490818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0406029076689623 0.025128713210555 0.00421974064460865 0.00156931406661655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0189878533329693 0.0117174931004249 0.000918649589254582 0.000342928959802587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0111721011043353 0.00685339288822009 0.000321923939514674 0.000118142592518846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.15118076512074 0.0723374718407737 0.0591745778168936 0.0127515348853536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0422876477990648 0.0233800145205801 0.0045581959114227 0.00137155914051484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0199628042341763 0.012695334197976 0.00101773890658209 0.000407906108672779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0120254914322336 0.00848117372609609 0.000363613976603235 0.000184198294172593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.527379135123451 0.308162796744222 0.774670126671619 0.212817465673594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.226712598112684 0.119364723768922 0.135526880952108 0.0342416742699869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.12671008943397 0.0667519542060675 0.0418027057755167 0.0109267341783642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0818513483947403 0.0435021395871471 0.0173479425383511 0.00468071182971549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.291011263321959 0.183704121127582 0.227202207120046 0.0794087890256201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0811578441501205 0.0503054955970604 0.0169562022728814 0.00623475347610309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0379707806959468 0.0234403349630514 0.00368550195059899 0.00136634040803278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0223346699198127 0.0137070092878847 0.00128681022983118 0.000471305243078474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.299953761269353 0.146983021736297 0.237339954006454 0.0510861741708031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0845323537497918 0.0467996120000757 0.0183088217828342 0.00544681405081037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0399213402088002 0.0253938432851594 0.00408068221900433 0.00162484440168851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0237551508033188 0.0169422408229333 0.00143100126180787 0.00072965854610631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.985893413382677 0.674554228323248 2.98986248672445 0.945352017166127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.44486083312682 0.246961999781534 0.534900727376733 0.141010488097502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.251968978353736 0.134914187927247 0.167313570213025 0.0436111878940596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163327741054367 0.0873684958635714 0.0696030529893568 0.0185971454607705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.568589295831226 0.380166769919125 0.912157002594726 0.325436028474205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.161949516111965 0.100986544562701 0.0682654159357762 0.0247363236104901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0759064554795207 0.0469227822976396 0.014805308302416 0.00543249107154547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0446586298441215 0.0274221182568773 0.00515640119550056 0.00187736809507375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.583200363478059 0.309467252691897 0.936100985198901 0.21681585568798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.168717353337595 0.0939141350306095 0.0736722996257725 0.0215714887214772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0798101500165067 0.0508130839318709 0.0164014333150336 0.00644953752154722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.047344604227387 0.0338780491795382 0.00575148396054896 0.00289358701479008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.67604856944105 2.33337888684462 27.0025225413917 9.69828634179156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.21295413694321 0.851262109479549 4.53118678441968 1.53014164162379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.719848260978173 0.439389556722998 1.45024736737071 0.434802818024765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.478500957350557 0.273206201955081 0.617272572311025 0.173383357619818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.56891991137851 1.26739177017627 8.24668587159224 3.19294271457341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.476888643264112 0.312409122030882 0.618385297096653 0.226855570968936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.226720930641998 0.14204920738708 0.13462157278221 0.048506303988304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.133821241304788 0.0825566229888204 0.0467829793695783 0.0167254519536316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.54845666122866 1.11427431114484 7.96227862393314 2.43296009575704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.495698541059053 0.290791861141084 0.663084833299308 0.195748341873998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.238387056846278 0.153235334240503 0.149678692713543 0.0568026562633921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.141693495185588 0.10176731401798 0.0527636814505284 0.0254709997009484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.39504690763546 4.0593290812019 76.8366636855609 27.8159855840452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.91347266431186 1.5183881830945 12.3938209637329 4.59094792643153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.14250274408734 0.784525928019906 3.91008178140851 1.3330664580791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.771165340483518 0.480375686025958 1.66998759390652 0.520222614780554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.53445820432666 2.22273512745601 23.4104089474862 9.16071133264531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.777296678015712 0.539975206522708 1.71621795717044 0.660304016713304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.375145236170594 0.240483321748057 0.375661620216199 0.13639404506309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.222592614991412 0.138575635716879 0.130766461315216 0.046416092285843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.45359834535151 2.00979658486155 22.0717059964167 7.32454520626803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.796509469380968 0.506871853065311 1.80550529665813 0.564627615387511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.393781206028272 0.257731436026868 0.418068584269736 0.155993993757983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.235435301756866 0.17006839339965 0.148484737152756 0.0695628807897628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.825545691084764 0.541085936953329 2.06532513073478 0.643797179977693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.366067250707234 0.199911911933791 0.366829426656303 0.0963481811303812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.205965924369183 0.109998673439036 0.114033242139841 0.0299750801950645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.133293788189088 0.0713224412113371 0.0473842552966158 0.0127744302656533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.468238257832919 0.310011837677773 0.621350001218247 0.225619790250402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13185309250245 0.0821942487041457 0.046210659753194 0.0169045274780741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0614260164879418 0.0381421972839915 0.00994003263963758 0.00369728426388667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0362424480956658 0.0223102690005294 0.00346411348188749 0.00127512239613159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.481524238919594 0.251111412794048 0.641189096703975 0.148873496015036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.137522830619727 0.0770505222773304 0.0499406523879016 0.0148489524435242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0647662854490378 0.0420853699353837 0.0110154088826021 0.0044820476101436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0386740850364724 0.0281089350126631 0.00390173914664226 0.00201547707778206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52719443008222 1.19369323201644 8.1042961750194 2.85227387893068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.701822009729666 0.428119697658155 1.4177950766175 0.424939958302467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.405204286031082 0.22647187609897 0.450373023283256 0.123803691960911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.264708465956908 0.14445340868194 0.18909056511915 0.0513777363161356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.898209312197357 0.654128515578583 2.48381821984367 0.952040770436907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.262088764805872 0.166076412581015 0.18574264066145 0.0677391504691478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.122702924782885 0.0764811850819602 0.0399719439470634 0.0147032105245039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.072458072232769 0.0446649230050643 0.0139030292681128 0.00507412576010733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.908327629540385 0.550111475108405 2.47704159701917 0.675853328970691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.273316431829327 0.155641389469884 0.200383591489317 0.0593070123378575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129353374954827 0.0843046570950516 0.0443489066032721 0.0177434952534012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.077185791473032 0.0562386617186423 0.0157085362427572 0.00797916339117525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.9151942092102 2.58714431987323 33.0692831877185 12.1905813025544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.3052779727246 0.943390042262418 5.45882942621903 1.93723643867943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.775223817986937 0.486217637031305 1.73885697997534 0.551070372811998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.516764885487397 0.301046854604757 0.740842066105175 0.217432742065175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.69824001653054 1.4038322460514 10.0460988057168 4.01442737857472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.515061099541115 0.341893305368517 0.74318027885435 0.280618415226082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.244322505464784 0.154424414830431 0.16082965325687 0.0589520845063619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144743614111467 0.089689345963722 0.0559342544057919 0.0202075083365113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.66897075149931 1.24115300766632 9.62953080691717 3.09692439559552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.534730254765633 0.321244162167678 0.79413489745121 0.244478602580539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.257365383071571 0.169556717304795 0.178821944896816 0.0700457795317103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.154000410943444 0.112692311730427 0.06354483636161 0.0314301394579489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.622494094579 8.32607132238737 312.398249045489 115.166041524084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.57259831080345 3.19253609153049 48.7412816757685 19.5932912309739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.07859792404917 1.67973248117601 14.8665137548664 5.93396682255193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.40783216133695 1.03118376514944 6.25601303270497 2.37166913226053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.92174297593535 4.62976705919721 96.8814001502017 38.4328712902298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.45854137161735 1.13282386348918 6.76693287109228 2.89332929972461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.715426311047505 0.492954284282524 1.4687624221329 0.580817268642957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.430306939561122 0.279472041801968 0.512019220222221 0.190075250975287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.68321941611231 4.25917355869639 89.0037060491745 31.6376831078056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.44092239116896 1.08614138991045 6.86202645819788 2.44967705167418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.733393047677495 0.526577209914391 1.59690676364368 0.614931106863549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.45216246643911 0.341397047439952 0.585225548959687 0.268219937944605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.3745506363789 14.0949078550624 879.480453163377 322.344265442569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.84509638737208 5.47981690522242 135.854882906855 55.2257970225243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.32516737601161 2.92685271281769 40.8100223071987 17.0490630457151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.22323966231521 1.81800433180545 16.9103505635609 6.97923242702984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.28621156617518 8.00387579396399 283.820521902072 110.90770083081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.38037174574074 2.01564067350604 19.6881262009417 8.70629798903535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.17722112893283 0.877083392604904 4.24285090510981 1.79330590781386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.714360776396294 0.492359598980234 1.47632020131785 0.57926259680743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.78330611016093 7.3677715692254 254.619790136317 91.0747783056832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.29503699396163 1.93144085150438 19.2476624237691 7.13023853013821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.15993668570066 0.914882225948507 4.45718136039244 1.69401868682542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.725132004463308 0.574637051927465 1.64821438406058 0.701450728695018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37036249092329E-06 6.0410448744883E-07 7.54035348503026E-12 1.50220459272749E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.6008639508358E-06 2.08973331580652E-06 8.49160663843118E-11 1.78616808924356E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.85510082991145E-06 4.43629806270401E-06 3.97694680441154E-10 8.0796873719562E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.70774818789977E-05 1.68143904764034E-05 7.02676242207312E-09 4.93113926083564E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.82589850196137E-06 1.0656487274114E-06 3.02702039136943E-12 2.42347451134749E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.36904637687626E-05 4.85786661613723E-06 5.88063561615112E-11 3.98113191944475E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.12993459672646E-05 1.10816712770031E-05 4.21501209429542E-10 2.23483241114144E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.41128207589031E-05 4.64990240761374E-05 4.24671195065293E-08 3.80810233623772E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.31402418067438E-05 9.58878808299144E-05 2.4015943100002E-10 3.69929901195845E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.0723114228321E-05 5.39620258660571E-05 1.89585532921098E-10 1.17330037139144E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.96984912225149E-05 8.66180029863863E-05 6.88187096353947E-07 2.00022738608963E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000451210299508272 0.00018562130729407 4.67670099802854E-06 6.09610838712225E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.215069517936047 0.211979037656583 0.139352324135844 0.0919404080290882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0896159663502551 0.0878450505637809 0.0211690785897751 0.0183184746471801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0502614877823549 0.0493255768520219 0.00644824583711162 0.00594897178646669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0326383315818095 0.0320837408346898 0.00268857262928269 0.00254100501538225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.123759208999024 0.123287717793266 0.0429123066000672 0.0341059892213642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0344583042004995 0.0344035579970133 0.00299704570621869 0.00291403101622658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0160718232683363 0.0160574176461793 0.000642589365428097 0.000638826545854139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0094021410310956 0.0093918734643941 0.000218860260805016 0.000219794905240275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.126973635208701 0.100714031830528 0.0445527483194262 0.0225455059845747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0363998298240575 0.0315676372871547 0.00337132371205601 0.00248856309563138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.017207044777976 0.0169648213543944 0.000747352580450537 0.000730427792317923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0103260451143583 0.0113975185014452 0.000266388280957166 0.000329880538937342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.433375529639469 0.429412694784344 0.613799924602962 0.33523508416065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178524190868882 0.175742697666515 0.0885453784675946 0.0691290245621007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.100342900666623 0.0986414049867889 0.0263604051217805 0.0231555886550255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0652260873242519 0.0641740818942464 0.0108933192204178 0.0100124375959765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.248160507028162 0.2463732600726 0.186450989605141 0.123704186011179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0688847127178933 0.0688182345249489 0.0121758303260805 0.0114697243947686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0321395147452947 0.0321189347998295 0.00258632878670433 0.0025416435709206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0188006140893344 0.0187830429307479 0.000880852901972114 0.000875422892308792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.246137572162628 0.209059484450522 0.182348891652385 0.0864575861769624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0724941003485366 0.0630183194311745 0.0137095077357581 0.00962213302333379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0343819308279505 0.033822353008434 0.00303222110785681 0.00285785762598481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0204952722664314 0.0227283517264171 0.00107163081869132 0.00129660120185214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.879553346484658 0.874715786018747 2.66984312242551 1.26893133001997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.356429636721867 0.352851462899587 0.378891348174941 0.256285770300707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.199939309510548 0.197453554289247 0.109773181535972 0.0881229272623158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130161161496652 0.128399076559803 0.0446721804842297 0.0388492462115445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.501525445677529 0.49780555118559 0.820009520786829 0.453448717944161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.137666635152501 0.137587814314622 0.0501927256864437 0.0444074261484974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0642521388279973 0.0642643836062362 0.0104578538647266 0.0100610512132835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0375775819542168 0.0375817747317473 0.00355150118607876 0.00347555678251934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.4811034992404 0.439875197336109 0.761017605574922 0.339071074531065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.142897147056334 0.126272258863746 0.0562451120734453 0.0360073475319246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0685766143058946 0.0670123217707094 0.0124928168007811 0.0108110980671758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0408694046238005 0.0450790593411799 0.00441246161148817 0.0049627569955929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.68577240454805 2.67868852435524 25.9075478918727 11.0224846941637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08020020899618 1.07556569847191 3.79349490765233 2.11446373890609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.599642450952654 0.596154738931573 1.08951144934464 0.716386458379828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.3887150519798 0.386282431369981 0.434196699773566 0.320497591506389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.53768411734951 1.52837009397289 8.2353473786811 3.81600397329548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.413515332863645 0.412297017243305 0.493045615189648 0.364622260111685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.192710849428032 0.192908153695815 0.0980613838581586 0.0870510367649047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.112694872906227 0.11303677958397 0.0329421145681349 0.030562265977139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.4394485206473 1.39567469540107 7.36483380488423 3.0411708503779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.415346389681943 0.391874439764567 0.547001357828536 0.287039777092004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202091156648941 0.197599210518112 0.123979995351394 0.0793058651597495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.122171133343257 0.129686725848275 0.0448127540833375 0.0359064857973666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.49703191241966 4.48766517275507 73.2241300293129 30.411738367901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.80995781810741 1.80444610862084 10.8826314290954 5.75426259447778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.00315111846203 0.999208786209017 3.15615191425236 1.92220588974242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.648591892491831 0.645765278272089 1.26031702550735 0.852603537249667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.58255295090938 2.56751682386653 23.5684018662095 10.4756195609795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.69163761237241 0.689565298892102 1.43628432440833 0.972276667093052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.321631496471802 0.321558342165694 0.281892236382946 0.234580806479298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.188163773294054 0.188810926656457 0.0941002460226763 0.0833859847035433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.40593685656516 2.35903246727041 20.9198653177895 8.45668027058002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.691776480237742 0.667489913102426 1.59600212700568 0.772578279494117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.337391102578929 0.332121261067485 0.372338025574807 0.199954606474475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204911021294534 0.213297679553605 0.137724255161288 0.0858151843090266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.708848436534873 0.707303399426005 1.75406147408588 0.870069409427437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.285587795977071 0.284223344105302 0.246580303078916 0.175926697297555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.160134063055056 0.159003201638611 0.0718235898233856 0.0600438962378796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.104102577451607 0.103359196192834 0.0293206996873558 0.0263119300649514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.40170664776965 0.401597572484335 0.532790006333814 0.312442231813501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110399561915244 0.110123127224265 0.033070796529563 0.0297780790176913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0514228858493743 0.0513391618203409 0.00693048938255516 0.00668995121569271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0300354115734617 0.0300558978789321 0.00235064026165837 0.00231248287901136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.389341571038406 0.351704287076225 0.501830247912095 0.229657471128795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.115340841382851 0.102809119227468 0.0372013936380617 0.024838405414511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.055106094504735 0.0552998171188987 0.00824555994582008 0.00750714332675865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328224563171377 0.0372435437643091 0.00291065967973576 0.00345324411053291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44038422436989 1.43951249090803 7.48633335944868 3.36815921186861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.57423796392417 0.573048579399842 1.06333770316078 0.657073838062474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.319461413692023 0.318435329382598 0.304023932575124 0.22532573491035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207469296981793 0.206783208665654 0.121922084509962 0.100486271789243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.816417924345458 0.816679433001485 2.32150131910573 1.17933385598853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.220766369307541 0.220046137095112 0.138372478589676 0.113637789437417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102738666358101 0.102810952412494 0.0281954229893208 0.0263423427755092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0599961757108492 0.0602121711186122 0.00950718713624118 0.00917022847899132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.773509173281966 0.735887579943437 2.11274584988083 0.913377393518128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.225612939950846 0.207626264352805 0.154338261822655 0.0913169777239136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.109446696248473 0.108853719602765 0.0345319553616788 0.0271511918438991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.06567489311841 0.0730238782228372 0.0123253486787921 0.0126186882953372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.91105794728259 2.91213347049658 31.1012317529679 13.2655744846554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.15983832841131 1.15930542002129 4.52631784177768 2.51680581389007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.641036358734988 0.640510047352522 1.29825133922911 0.847928122154951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.414407467798329 0.414252454827616 0.516176363311538 0.378269411635675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.65666584280275 1.65785050902952 9.84724739796009 4.58255813749939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.442278286243096 0.440551531377936 0.587916296731227 0.428477018803821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.205377977098883 0.205917747018521 0.116440836279624 0.102438041669901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119935958672049 0.12076225484357 0.0388893734101786 0.03614703902834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55272316659597 1.51664586766298 8.81559894416475 3.65661992607275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.445840403082054 0.425764230157656 0.657307756244842 0.340604171775416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.216727070629284 0.215656879462847 0.149471133586294 0.0937993282758894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.131260166779889 0.14098795582839 0.0544573318820459 0.0420767694611812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.803904016776 8.81479811019753 287.843291962467 118.109428710497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.51707587057678 3.51971184980406 42.9381076253036 21.9113315633243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.94248603497287 1.94413673420602 12.5782369519082 7.20322479650342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.2514601685922 1.25301234728596 5.05663587591042 3.15089617913892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.05883531503791 5.06184049203326 93.8268217133611 40.8154488417683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.34621709573484 1.34205581658081 5.86271822094457 3.62613451179005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.621189752830545 0.622042323299979 1.14982837094503 0.866888974004995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.363063298028312 0.365698275034884 0.379438342742269 0.313383136756106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.69525081477869 4.66430645166659 82.5933957869785 33.0528883719495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.35158722974841 1.33015470869737 6.52947307600977 2.92398864199772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.66654323280908 0.665860891742956 1.60136889110822 0.724273773241476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.412896927084217 0.421554081627244 0.630818733661266 0.288987427216614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.7038727504568 14.7250379404613 805.357897529409 326.715318676026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.86800760844736 5.87467981105061 120.246465345445 60.1004958336164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.2422110779821 3.24634053459162 35.4345741953939 19.6299046541144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.08926471961747 2.0925703594064 14.338155113439 8.52862989949485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.54514337803949 8.54358114200339 269.544412017948 114.872980823834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.2848666124474 2.27882516510619 17.3158323637113 10.1046463486125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0533801342947 1.05448494216086 3.44303769817109 2.38048917445713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.615354108130924 0.619005372545474 1.13792057784344 0.861145391878805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.86663180385933 7.84316388972474 233.500753549864 92.29512684203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.27115617392759 2.24858402734948 18.7943347779637 8.06355944333275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.13310527287626 1.13281380596007 4.78207874688158 1.95948933373987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.713234236589309 0.719620877208345 1.96551459129106 0.761805287682488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.30428095242492E-06 2.36249386147819E-06 7.12683705759038E-12 6.87572151911817E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.47049185090773E-06 9.03701176655583E-06 1.71844108551151E-10 1.06598860380981E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.39339689094261E-05 1.96873687455005E-05 7.96318688192136E-10 5.0545140233876E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.82997999761637E-05 4.2142642106141E-05 3.83088780934337E-09 5.13638034321723E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.28667216259854E-07 6.09811443279397E-07 5.48298957908755E-13 1.7642459156172E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.97450579926828E-06 7.73891704895884E-06 7.44750460975246E-12 2.51244462374068E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.7810999519068E-05 1.89521241305203E-05 6.4567073662102E-11 1.49902832594909E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.42941016474086E-05 5.89044222440129E-05 8.96744647029961E-09 5.25875616994009E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.11181584667035E-05 0.000152080181379575 2.08619387764425E-10 9.41094124302681E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.29739751904673E-05 5.89771613365854E-05 5.41280731009747E-11 1.41889327639843E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.64358483331181E-05 4.18664003956616E-05 8.35283334786893E-08 1.7518745572995E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00019809222074474 0.000229464873386203 1.19579253641948E-06 1.43504055398862E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.215715036815489 0.221222202271257 0.136754308551175 0.114575322023583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0895125741671686 0.0921145880781461 0.0218183226929998 0.021388783802042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0508968763490897 0.051266208417953 0.00689317310581114 0.00674203478489109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.033388879932703 0.0330713404017562 0.00293596945027797 0.00282437300159337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143206739363204 0.1210501584815 0.0578688669300163 0.0346383919106931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0400255278809635 0.0333581683332089 0.00421241110276866 0.00280247649352449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0186557433941785 0.0155609681064801 0.000899374379099865 0.000618797787475307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0108432864494577 0.00909673577980258 0.000301967457990639 0.000213506039240054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.133160132679186 0.0963685638314993 0.0486676332388243 0.0224052100423176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0382796540583593 0.0315403137573593 0.00386333566467955 0.00254168614400315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0183185741128247 0.0172915539859713 0.000876799371231257 0.000776077274467264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0111815412926634 0.0117779943379259 0.000323675629332209 0.000365557440268394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.433294402252523 0.434606985568822 0.61115096490743 0.401895768831191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.17994920646237 0.183158276676184 0.0922723361887449 0.0806627806900782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.101943871675871 0.102365867115925 0.0283795915785663 0.0261788785136387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0668088825701918 0.0661066246211711 0.0119544289844776 0.01109537308752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.282998004127718 0.245330927840185 0.244909470755301 0.133390337608815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0799339970119116 0.066834769793142 0.0171978623290043 0.0109734059583826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0372999151759784 0.0311341098212578 0.00363499924334734 0.00244656927329632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0216844500397152 0.0181952563497458 0.00121629260636259 0.00084683205272311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.262107730935751 0.196700768454993 0.200020388929136 0.0879588901024322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0765084058078345 0.0631181892753689 0.0157976123112812 0.0099211569219701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0366470499532257 0.0345682899055845 0.00356558162725461 0.00305229835778952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0223366048461986 0.0235128182976107 0.00131444722516948 0.0014327974706842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.865791863396001 0.8608604822507 2.77204485470727 1.41064886659681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.362643342034527 0.362236169951987 0.405945226613114 0.291892324567029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.20473560517404 0.20376915103115 0.120338708091949 0.0985755246815985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.133842396117816 0.131964369972007 0.0496212086804522 0.0427251086883635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.553911986595777 0.500632377668595 1.05657505429368 0.514521692123687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.159087659415106 0.134481257458223 0.0712672699673212 0.0425806436668319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0745164634862538 0.0623677630333241 0.0148207290466345 0.00959583512597985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0433575522139624 0.0364094822379693 0.00492501111893019 0.00334248364171315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.506498116294225 0.408742191714931 0.828150990718037 0.350645473535503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152648539037144 0.126516604646458 0.0657657384825083 0.038144700081451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0733742700616668 0.0690450053280584 0.0147460640515253 0.0118278230051052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0447103601675894 0.0469564078799174 0.0054142558018149 0.00557846483739249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.65024918500296 2.6395128321529 29.2960394968107 11.5155514666381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08627718132543 1.07216622387907 4.35875745579383 2.2133286147613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.616607124969064 0.604259703247079 1.26565174783773 0.762885171561102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.403441760641002 0.393149549216386 0.505625043084808 0.34082333852501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.61769792056923 1.55384805820719 10.807703926438 4.40395559852458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.466657274223604 0.41484026451081 0.70600504616255 0.367165452901039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.22161126121271 0.189514960967544 0.141976060040694 0.082489057913018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.12972429631526 0.109847372641638 0.0462787133960423 0.0289675626871337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.43588837040012 1.31841757700398 8.10023509591699 3.14917312325832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.450092527704475 0.385301323772036 0.658860520853525 0.316892045238448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.221511834649565 0.205438071445385 0.149996618529271 0.095819678661503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.135422988959603 0.139502520937181 0.0547074518458338 0.0456376404586393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.46485611455707 4.45359742086309 85.0860236519705 31.4740812531613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.81428929693851 1.79411834740962 12.9527642802489 5.85917705216137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.02359701368662 1.00403884392874 3.78744058569345 1.9835613946123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.670966393860658 0.653235118228239 1.51280760677491 0.885950365731382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.70123121027941 2.63530132291651 31.5610557864234 12.1237959168456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.767424533696995 0.704045344430935 2.07827708072147 1.00844435202385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.365971668549427 0.320709094875995 0.41374230538305 0.225421439462577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.215326296112555 0.184750942717815 0.133395339292559 0.0787688724399578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.37896696412244 2.26321074277496 23.4908710748358 8.78717230524867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.738075660548873 0.652332479140226 1.94328515088791 0.85404988378063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.370347485575719 0.340347679014716 0.455228354031371 0.248678865347097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.228176209216989 0.229776572390977 0.168108526660669 0.117186978266757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.701694731242183 0.696760583446921 1.78340741440944 0.979010475011176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.292415185225377 0.293730926862691 0.261483966709801 0.201207129796108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.164984798507354 0.164647229935987 0.078265058867593 0.0668775352217751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.107826345614914 0.106457304104332 0.0324467040342193 0.0287229636944767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.453070446682591 0.403569926836942 0.692375501141528 0.35122116326914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.128045936832232 0.108320391380302 0.0463014962805227 0.0287649376722446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0598960024888399 0.0501276721232606 0.00971255767406479 0.00640666044236091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0348026776007618 0.0292694173906394 0.00322960273784738 0.00222545995635249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.41503198175155 0.327608991425947 0.545848037405841 0.236407469628244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.122835352515979 0.103110749486009 0.0426170137889938 0.0259936489816962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.059567137857405 0.056421449571549 0.00973277977050141 0.00806029068752341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0361027016846057 0.0381593597813905 0.00354790171880477 0.00375036754568513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.41478281790428 1.40222507646292 8.03273877413585 3.58603473299807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.585705432572507 0.580014965321061 1.16662732989429 0.720996742583003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.331505342022399 0.327080825494661 0.340231378080691 0.24704143835696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.216221195596296 0.212199127604997 0.137606180223947 0.108550039657853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.884540457405216 0.823418229720307 3.00355569529866 1.3574933174044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.253581785078412 0.219263027501468 0.194563619153321 0.112026199864026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.119428052795658 0.100687212217908 0.0399658033744659 0.0250324548973688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.069539095637212 0.0586473456232071 0.0131592379939692 0.00875004640637391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.79583374268789 0.684222612836589 2.28381514005766 0.944232548327201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.24436793483244 0.207248387428363 0.180531364040544 0.0992874387340858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.119412149915919 0.112515084129705 0.0411136428106881 0.030708506902603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0724147881600829 0.0760546339715164 0.0148928304650517 0.01438250363035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.87597337454814 2.85925736474705 35.0617700145817 13.7879100592844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.169295459908 1.15490133702154 5.19836027007382 2.62697716653596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.662201012454565 0.649298857308371 1.50892278427273 0.899950332551113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.433215396829548 0.422419280794415 0.60213047992422 0.400964344183673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.75060682325124 1.68619829410828 12.9883577517516 5.30573988899213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.498931135989633 0.447684956454116 0.834707647316501 0.440189330757313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.237000416339555 0.203811188008194 0.167679090123152 0.0978083271631702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138675721898171 0.118016032884417 0.0544402815284475 0.0341932742568024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55065283279409 1.43123393554057 9.6922221609932 3.77950933221502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.482179577367171 0.419244321397495 0.780513181387379 0.378686869155541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.240001922755764 0.223533964561293 0.180932578153706 0.113812154311173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.146124257990611 0.150709694813679 0.065459944768463 0.0532917450965068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.79828592388213 8.77045806261432 339.363395347581 121.412196743932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.54083960464012 3.5181769404155 52.5837087628922 22.0088330876386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.97533780802462 1.94994185483434 15.5995720694083 7.25360739354482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.2866978940712 1.26090237457379 6.27393492921227 3.18652911160111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.33124454943936 5.26234878750944 129.158473393985 47.8090696368274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.46920169877991 1.39968833344049 8.63126164321029 3.93724454915242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.700349777392792 0.639074269195278 1.72888431569075 0.879487753142682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.412996863781684 0.36673526853247 0.551342920361021 0.302846024334319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.65888363681071 4.53403869170767 95.0850381397093 34.5519738529402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.40771792148387 1.31317989343395 8.02114267456216 3.26125938235808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.721798393300768 0.670442875850822 1.99330995159341 0.907712943997365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.45129123149853 0.439938022083161 0.760635319762354 0.403966500975347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.7398703937757 14.6969751377534 958.435586061031 336.00534189471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.91924643235585 5.89247583792264 149.56180088467 59.8486386078547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.29127713631098 3.26184213824331 44.8730465410473 19.4825041108995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.13384808984467 2.10219836970414 18.2081026800162 8.45920207517779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.06347465982279 8.97897847714512 379.054604596071 136.532729606378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.48643736365205 2.41094251890351 26.3775233404311 11.2796462997908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.17923868244298 1.10735557643018 5.36412949883517 2.53949077242065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.695923146051721 0.636292866445227 1.71947513358885 0.872129392764154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.8512900255137 7.71330967607615 275.305749091498 98.1244148632585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.35123699009532 2.2508559241041 23.7088630430531 9.08775989990683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.20978297011433 1.14530424312234 6.12671167471945 2.48612386940073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.766687237908144 0.739555363945517 2.43573892755279 1.07830874857889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.78032178836597E-06 1.36861628799991E-06 9.8814915768202E-11 3.13336969974311E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.54867305613338E-05 1.82368913409606E-06 1.03400723535112E-09 6.54696551136623E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.25305639575295E-05 2.84509746822629E-06 4.55820097687659E-09 1.55900370719721E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 6.95528848590846E-05 6.7794658863467E-06 3.20308632962646E-08 3.85973921928887E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.03610260879047E-05 1.00371188517234E-05 3.23574969065895E-11 4.09674233770365E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.48443662936538E-05 3.98523999462926E-05 6.33802500162616E-10 6.46357975446637E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.90302898697823E-05 8.67166724979201E-05 3.11319176645543E-09 3.06078109348058E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000216618211401837 0.000166459323305533 1.83408082912515E-07 1.2039977099937E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000154420768724947 0.000140627850431088 7.52688984370747E-09 8.03396506492867E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.46686497921443E-05 3.5452931193131E-05 8.66669950176632E-11 5.09882778803512E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.89318897217438E-05 4.78458606420949E-05 4.32544779285288E-08 3.51929315730307E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000294914298516412 0.000183836964468596 5.25075068199561E-07 2.03539421127317E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.167887940559347 0.256332800445271 0.0969215355746709 0.138472371495305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0637064575481808 0.112147390525808 0.0117482566857286 0.0292826056228056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0345748016055914 0.0643934903139293 0.0032382782286551 0.00996046047683554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0221020611053152 0.0422575089827078 0.0012886963016538 0.00434368291307512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0840434627753763 0.167554105508545 0.0220514248881016 0.0641934520478055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0213525190264732 0.0485958851558237 0.00120567457100529 0.00577216902609231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0098772648730645 0.022776893335287 0.000250316583415388 0.00128147582736421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00577240410471533 0.0131892679510243 8.3715974103392E-05 0.000433171379465194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0741360328372059 0.177411121878432 0.0184984945565159 0.0712583374082435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0200889497365107 0.0525475058743003 0.0010938246180924 0.00673623937824402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0104894372103994 0.0249326761369353 0.000295573809608614 0.00153020809522306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00691524947953753 0.0147444700929542 0.000129102363772235 0.0005350109605806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.370705313571934 0.484344520121773 0.519802912154084 0.447629007398619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.134922868912953 0.217152751553441 0.0585235105286017 0.103600498089337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0712313522104643 0.126737472300903 0.0147597273460038 0.0372706664199221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0448837861547427 0.083836647235116 0.00555591909224002 0.0167305105200947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.189163850594533 0.31301209544545 0.126381303892375 0.207004364615973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0437996150739504 0.0960955032000748 0.00532116151193164 0.0220920985175022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.019859670483774 0.0454492795973832 0.00103217902348971 0.00505728494890709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.011556119792274 0.0263572913022998 0.000342913784707478 0.00171492167515319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.175903557451133 0.325633231388192 0.120354755014761 0.219743138008139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0418312517097887 0.103352099723185 0.00503752560044623 0.0253695855089959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0211315807122829 0.0496859321297147 0.00121697228416786 0.00601968242358945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0138344346197772 0.0294494894749116 0.000518228026816552 0.00212919535513377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.807300939409284 0.928425393739126 2.60568130334157 1.49446027253012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294411162521278 0.412135167165748 0.308938126222403 0.344558331782313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.151886914130954 0.244356075843402 0.0745717388908801 0.130704582400798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0936502057379507 0.163833695672803 0.0263258979324637 0.0612885325839385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.4281837595296 0.575968244358395 0.708242505444047 0.638774569506867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0938398132832418 0.185939886204919 0.0269284813036864 0.0791608518308809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0405777025862274 0.0900517679152897 0.00449278758396721 0.0194876726949985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0232787122649297 0.05255344295557 0.00142870851324602 0.00674053065533073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.413432686847549 0.588535784693267 0.721668410921445 0.652758586377387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0928788122903135 0.196834604213882 0.028044070739357 0.0869636898918125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0436060045394241 0.097802722084258 0.00541803046227725 0.0227304719144904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0278990338108834 0.0585580608320806 0.00214824540253541 0.00831596973740769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.6111894592006 2.72663978397928 28.2955826907766 11.6313255787738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.00191523910406 1.14506670315878 3.92507706139896 2.35137967185544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.524488957254905 0.670433530581734 1.02212727365259 0.871754961080248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.320338361840626 0.453742118151013 0.362168080336565 0.421849422218051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45816089052364 1.60388552786535 8.7561311284304 4.38652675708537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.337296846403522 0.501995314069311 0.411395485232795 0.516871450212649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.137518333996457 0.254732298906642 0.0604393867273562 0.144928386364196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0744871188736446 0.153320371308631 0.0162367769145161 0.0547940176449909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.44227205739779 1.61171651510089 9.20499991973687 4.3804576740173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.351034286076829 0.508894664539095 0.481252010339061 0.506802275674319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.153619278296804 0.265236683552562 0.080341766609128 0.15034043673877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0908068818553673 0.165643119384076 0.0255237114731679 0.0618341138929689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.426958289496 4.53738018390876 81.9099135591226 31.3666497026074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.73097535374742 1.87377758908702 11.9479979232726 6.04099576014438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.922024349816799 1.07846991409501 3.27087131626448 2.14644992521381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.569087888811261 0.724076241564785 1.20235083461114 1.01819841541952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.5082869828684 2.64612577761521 26.2350601909024 11.4972468673721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.607677231809883 0.793303630710062 1.40010970613938 1.22608412755982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.250208713917503 0.404676727624787 0.216518428237638 0.347841154366112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.133303692256382 0.24724279149872 0.0565303369007862 0.136746666116915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.48875496333312 2.65061966571967 27.6282606191394 11.442435917702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.636229054025866 0.797401945874828 1.65410826025883 1.17052275159136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.282168707898404 0.409402979811291 0.295010697041921 0.333399746723971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.163428600788443 0.257944884228471 0.0908089348478995 0.140261352496852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.639142261960293 0.756650736444046 1.6544782630401 1.05776756405074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.231533948283989 0.336076611602851 0.193292372734517 0.24272998846026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119911136398966 0.197988823776114 0.0469879855455128 0.090331544154757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0743767331412083 0.132193280889739 0.0168391075690242 0.0418306183854889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.334491687086275 0.474230320507313 0.438875802852411 0.457373536040375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0737640137845654 0.150573655900493 0.0168532865593642 0.0542623438923628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0322557266092748 0.0720661369933496 0.00291570299272443 0.0130057477439781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0185918222583491 0.042176953835501 0.000940532282629484 0.00452083323265977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.320813126214216 0.486269353972078 0.442886332852204 0.471126311214868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.072785323452624 0.160310942408374 0.0171920890921837 0.060500371656896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0351475870769505 0.0787071071005109 0.00351544321655128 0.015348976384581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227071676316001 0.0472934369601459 0.00142636946655882 0.00561762096689919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.36182844597919 1.48061340046164 7.75564141839505 3.74443032529857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.506110808717223 0.636690314211822 0.995190242463389 0.805088779148244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.26068015540641 0.376465035314928 0.246136210056023 0.304622900059813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.159229681948131 0.254159626995784 0.0859385107766236 0.145933001621512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.739583440539124 0.889326214334678 2.2654063255045 1.48039305358628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.163220864255376 0.285393956086592 0.0926959648521967 0.183571054126766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0678625422845233 0.140821037563497 0.0140360151035162 0.0479717841495882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0380293964660234 0.0835419211477952 0.00413493664384355 0.0173752405576804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.725699879641923 0.898887725132651 2.36178811641248 1.49010225260732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.166844426564452 0.296420384989791 0.103486386189648 0.19189133784817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0752507133296152 0.151412686501908 0.0177291992735661 0.0541352642994338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0466840291738789 0.0928998495693735 0.00632788249298543 0.021056332332289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.82632492007233 2.94426063022681 33.9174013854788 14.043337184236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08447481251579 1.2250908909642 4.76026738079413 2.78362199100494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.568457455684065 0.712059503275785 1.25339321691946 1.01446757283786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.347921187435205 0.480696285426064 0.449459008280901 0.486890849927056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.57700533917827 1.72695332067469 10.5749602554202 5.2205827305637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.366510410840901 0.530873423228701 0.510340068760863 0.592997643803604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.149334294733525 0.268390169182818 0.0762598596498807 0.164896737831915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0809042218614182 0.162568460623244 0.0205865403600511 0.0631961542630376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.56344499823344 1.73212349705443 11.1429245533213 5.21073693747673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.382856516729485 0.536850243911493 0.59799636553327 0.579480120771021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.168864834802968 0.278693164308229 0.101737824890192 0.169697212210602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.100295958182155 0.175601245767374 0.0324933675850145 0.0706144261368613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.70899799322113 8.83055034362847 324.938044095771 120.984869734269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.4418772719915 3.58545202858833 49.221137232005 22.2322629138556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.86317812800121 2.01992254189779 14.1238690684126 7.49259544847073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.16989429178082 1.33239407431621 5.4612464202992 3.39885395752881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.99641601664451 5.15575533332841 108.073939483173 43.6953618875628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.26754280709607 1.45870143308271 6.54364176873983 4.09754040444979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538421057964883 0.727051631778313 1.12677798548196 1.09503780601003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.290511836036172 0.448574862507557 0.313748791794148 0.435765324784093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.96093874341603 5.12724211000908 113.297220944814 43.0188857378066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.32035698015859 1.47239973071689 7.57573853704567 3.88302750187548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.606134855488946 0.728124456305726 1.51098835126238 0.991997086325554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.356200987046139 0.452200976413472 0.496963545162766 0.39648585709319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.5964713032665 14.7182070890855 913.764080996898 332.502756155986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.79384309317064 5.93689001915627 139.819076051876 59.7211118643336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.16278149139942 3.31939126442469 40.9660169962014 19.6845288021223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.00504176384207 2.16945245058665 16.2327332531245 8.72135075194458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.52562337089939 8.70456794612821 316.669047397666 122.760493433627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.23011429434651 2.42183317004016 20.677815570443 10.9654950592841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.975050234164102 1.1788173288999 3.83298440788303 2.76953235980198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.535713080756456 0.723071654719691 1.12628757316718 1.07917960617147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.4020781232927 8.57138660451514 326.008588971364 118.355187028482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.27970016850445 2.42501626792782 22.8498164885906 10.1017104343354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.06964308239624 1.18454704930213 4.85452039344293 2.44051999207915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.638514940239269 0.728123518900826 1.68582206090919 0.930444362841984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.05417614455111E-06 5.68221534317997E-06 6.93374276867701E-11 7.63194114276468E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.32258132983096E-05 1.7859948521332E-05 7.3737391046276E-10 8.94794377445471E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.80757684544328E-05 3.87887325537407E-05 3.38338124862309E-09 1.05578906826969E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.70854473685128E-05 0.000106909961781126 6.31880108290441E-08 8.27273904220302E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.41169304727561E-06 7.32945904015925E-06 1.13228666898432E-11 2.50342982286691E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.18371390215427E-05 3.27778584991381E-05 2.08493662515972E-10 5.0832573813487E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.30317473039764E-05 7.85750785155005E-05 1.99992291353099E-09 3.14390602100397E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000206152963499559 0.00024421079071375 3.43388184699374E-07 7.19512054303913E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.34507843081581E-05 6.99463826067443E-05 2.70183440267044E-09 1.49712324372163E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.54838824426124E-05 2.5452283588954E-05 5.4684549023216E-10 1.21765077205304E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000173860355553983 0.000243803854885635 1.35854379217566E-06 3.78528520716478E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00089526375997672 0.000966930659926997 1.62470361729798E-05 2.23078540241084E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.216092989579024 0.226249370882528 0.118657124720077 0.12578173458938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0896695234722923 0.0940099966924434 0.0200370932123755 0.0217319125568354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0503183571374216 0.0527577450539286 0.00627854768440396 0.00683388291586975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0327479522322898 0.0342639312106302 0.00265550863692348 0.00287448043189514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.125005175336554 0.130141080111468 0.0392848733453626 0.0418689291066326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0347668877491043 0.0365119791229448 0.00297771988120143 0.00327529117673034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0162405352480725 0.0170720023325164 0.000646172196658082 0.000715953019912603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00959820812777375 0.00998086690619364 0.000226902133486692 0.000244503368919342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111476235704723 0.122531453843363 0.0313524287924053 0.0371575716460156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0323402639586281 0.0350492895763505 0.00261364577154099 0.00302398315373809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0159660215812998 0.0168775759452105 0.000638861796603471 0.000705786855979478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0102531304643921 0.010449250921753 0.000260162224596865 0.000295003891910321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.432112304602307 0.452323456187736 0.480928485420408 0.496090538044598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.17933461140292 0.188013795377981 0.0804219403340948 0.086635520801646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.100635716745218 0.105513836952291 0.0251466693665709 0.0273026978501691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0654962765968727 0.068525788912147 0.0106212477623013 0.011502711152013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.250024426268114 0.260246750568955 0.158214410807011 0.166327227586019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0695334765541389 0.073024383019398 0.0119251731546681 0.0130861324362958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0324815533013675 0.034143908223208 0.00258978822814714 0.00285860638877504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0191899377882975 0.0199416219831908 0.000908634114482905 0.000975418015830869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.222984639340584 0.24502038428574 0.126483075123538 0.147451176682206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0646800479958266 0.0700998721481252 0.0104844803988554 0.0120665519953184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0318824798025389 0.0336674741589255 0.00255669757735527 0.00279321673366473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0200268020803443 0.0204161801353716 0.00099937007366658 0.00107142912988598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.863929656771688 0.903401450950684 1.97501840068158 1.92429255617117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.358649163806747 0.375992319359819 0.323901712093015 0.344151362494083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.201266052871479 0.211020056994137 0.100879162265959 0.108898055947929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130991404160821 0.137047606797235 0.0425361778323782 0.0459630410824981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.500124737126505 0.520247890760328 0.641513871874634 0.655829566239903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.1390695499204 0.146052438460909 0.0477912797900797 0.0522547937909594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0649665643361264 0.0682896275909852 0.0103735078834743 0.0114214552740428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0383810264273915 0.0398761043829234 0.00363865023783072 0.00389931155114674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.446205859917887 0.489695826176653 0.514661103409219 0.579991842931117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.129365377984111 0.140204923218973 0.0421796427762278 0.0480193019147976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0637380867552087 0.0672924404493318 0.0102688961763567 0.011096325093026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0397748578778322 0.0405706592086627 0.0039905969356887 0.00413808722515809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.60084462992856 2.67707323780734 19.9030050573499 14.8056151872766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.07590485704128 1.12678391592478 2.99690133417 3.00543910385444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.603683408213099 0.632889461997083 0.918646303563538 0.968118417420336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.392916335538515 0.411063841607227 0.385172520688535 0.411001092267639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.50092106757089 1.55138568489782 6.10729196757134 5.48370797302347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.417387594874035 0.438307921067757 0.433455500607558 0.467579245658972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.195011795921302 0.20496830397626 0.0936777663080721 0.102679310777663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.115206925878386 0.119677790941143 0.0328240748570879 0.0351081435609957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.3450795612731 1.45659209569585 4.98837609836058 4.79304955754577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.388428098556989 0.420640158908584 0.38879756053128 0.42324673044478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.191260147330558 0.201903198192287 0.094069801548038 0.098174108137148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.119110905694101 0.121584331723473 0.0365875589208028 0.0362164782292986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.38832001474967 4.46631629789605 60.4902547054817 37.4598986277023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.79525459583873 1.87152299670196 8.58169860717743 8.03530884346642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.00598844963365 1.05411867546463 2.58196781754979 2.65348379030837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.654684496740418 0.684864463580082 1.07642336234897 1.13350702594278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.50744152327298 2.56854535123864 18.033178192091 14.0168332440608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.696376737420187 0.731045034011885 1.21484294478642 1.29231190061641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.325398503228388 0.341982417898474 0.261295647141801 0.285349427978651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.192219558194355 0.199668960965998 0.0914426601833415 0.0976847847547152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.26098005347011 2.40043293522847 14.9783395564064 12.0979034190448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.648635407335281 0.701029377677799 1.10737182385934 1.1514511455125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.319107329466771 0.336703176261686 0.266176475808091 0.26857217390266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.198642441567379 0.202825589140135 0.103439710651282 0.099050208279882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.691488903209376 0.726276337060153 1.29756451964247 1.30676271580967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.284570123168213 0.299570669845691 0.212806420677284 0.22959550168838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.159180403362009 0.167684800581896 0.0661704366466692 0.0724019906636075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103395695770354 0.108756134667128 0.0278783727277332 0.0305127456783998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.396014841758598 0.419285572580946 0.416604380518704 0.444704609938792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.109294459614147 0.115421909492904 0.0310541488798221 0.0344194250270007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0510056664087731 0.0538179106924958 0.00675098785463888 0.00751168670650641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0301149989877393 0.0314024528631755 0.00237379054337068 0.00256401176425396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.354322248978152 0.394851199485453 0.334909750433298 0.393434413640848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.102702748198485 0.111348581705801 0.0276346484895627 0.0317806889031697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0509815813177738 0.0532790185131886 0.00677596288871365 0.00731582571217073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0320496026829313 0.0324134681107734 0.00265722118373006 0.00277800717948948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.38195863826861 1.44582093458263 5.42550724732214 4.92068805893921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.569042435556744 0.599110802969635 0.860757666646206 0.908018582325004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318328304715277 0.335373480734152 0.265957381694087 0.288221300716064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206776612767826 0.217508361109512 0.111778517796216 0.121762001575863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.792319965930962 0.837565857225137 1.70518516188689 1.7342779752286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.218616887291697 0.230889372286002 0.124595683828881 0.137364828721227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102026857382858 0.107655254455772 0.0270449814517586 0.0300236988936044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0602392315113877 0.0628066045060059 0.00950408403646412 0.0102530619029883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.709972228543773 0.787712428711007 1.38140659411551 1.52555279304068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.205483434263333 0.222698339104794 0.11163808411069 0.126019961695099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.101965512828688 0.106538351586472 0.0273102294330163 0.0290312810981884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0639460548577525 0.0646650755970238 0.0107075603223289 0.0108773412172118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.77549992856248 2.86559733516815 23.7876623032501 17.4200005630017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.1380283381257 1.19697454494141 3.52295301335624 3.53990599296473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.636503884840715 0.670666053822568 1.07403182268376 1.14131314175941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.413467325981315 0.434980703137058 0.449352691185919 0.484396789442338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.58599550324569 1.66426438113309 7.16417580100157 6.49302796575859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.437499649337451 0.462085250642701 0.50170932165607 0.547309370175567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.204189107063361 0.21546422268703 0.108500597518854 0.12007977325065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.120560412638122 0.125695541918584 0.0380933591979676 0.0410462773543908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.42762696682469 1.56047941352275 5.89843490737111 5.65214454297794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.411594168713027 0.445363416483409 0.45593177719166 0.495292790106994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.20406305073705 0.213140426384365 0.110935505003688 0.114572658412945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.127871651303804 0.129301638006909 0.0434853714104555 0.0427568645825959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.62429925072329 8.75638977373737 256.996763512713 135.073608745575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.43344119062085 3.54596200903648 35.0024830086838 28.0450342955664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.91096714987865 2.00195451639488 10.0747908388653 9.73793148505744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.23892394988315 1.30237655292121 4.12236523994331 4.24482514644472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.86972829235581 4.98533182370928 77.008596479238 48.8315702419743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.32203687392132 1.39385758509081 4.68774515735003 4.86946687259098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.617030667630926 0.651081714268108 0.99691463221257 1.09012199334476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.364212333143569 0.379839797445212 0.348452839307668 0.374029355979975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.43829034455981 4.62034466682634 65.4839772470358 41.1293611385245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.25012292478791 1.33561255921468 4.48033200014138 4.16437277082045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.616318753648252 0.641925440721203 1.06701023420361 0.984015402055144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.385399504509051 0.389439752672158 0.415517974475765 0.367380041103071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.607241043702 14.7735681201625 757.774740917742 362.440304969908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.76435807148026 5.89515998583707 103.816111461174 72.2226493284585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.18923274061228 3.30623271453347 29.1576620668029 25.3639931579707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.06335953473174 2.15800744789552 11.6786576656182 11.3587609743549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.3407224835543 8.47193643613199 236.838091650598 130.152312836685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.23648269384575 2.34527973014739 13.803424328436 13.3906432813677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.04331791898578 1.10063918278106 2.87433158995372 3.09227683175896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.61513105292047 0.642156857740089 0.997746118684198 1.06461650132177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.60334520953163 7.78450263737221 201.66411616839 107.05644449866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.11648064337567 2.22807166644214 13.5194807364558 10.880940437579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.03954197937057 1.07753039196784 3.18398255512168 2.63077307939231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.648309725873181 0.654538296750006 1.23465074255388 0.983000316519387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.12353328009198E-06 3.41181957348765E-06 7.22279952690194E-11 8.05405128971373E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.49824819794364E-05 1.02774101554806E-05 9.33818126972313E-10 4.59423580439027E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.20564199967392E-05 2.16319217121524E-05 4.27221325646487E-09 1.96601937957299E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.0216189234332E-05 5.19451623356888E-05 3.08902996835529E-08 9.7641946011709E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.40627328512295E-06 2.48454966995156E-06 6.36548937790786E-12 2.63007530616983E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.98870402324283E-05 1.66143715635494E-05 9.03174373749238E-11 1.13528237934514E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.65689348931043E-05 3.89215092303234E-05 7.70834237731267E-10 6.20474669171284E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000127786633706938 0.000104106291515765 1.34815461066119E-07 8.43109321978679E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.80869718257268E-05 0.000135796437992302 5.99559745663963E-10 7.40697206229882E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.63805681132654E-05 5.16737552954028E-05 1.74418841985285E-10 1.07927959270191E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.39179017287347E-05 8.16417524177181E-05 2.45710435741158E-07 6.3864058339834E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000491354386769202 0.000500838401279378 7.61687272057734E-06 5.89815159938545E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.180528649771583 0.251865187761181 0.0924682974485132 0.154505729191742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0730261136424122 0.105690115187979 0.0144733327936408 0.0282703228201376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0410732523720212 0.0588335580306868 0.00451736897562525 0.0088250540139492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0267602430621191 0.0380193750975074 0.00190666644370186 0.00369689508850055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.110384748413334 0.13750752934557 0.0333421457498842 0.0466750511325051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0304409703782869 0.0379514190658511 0.00243554572260551 0.00364709609721698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0142384691535809 0.0176279128803799 0.000527516288127401 0.000791598357535313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00831714951160178 0.0103882584798238 0.000178773286142856 0.000280236048239797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106893457331128 0.109382981750622 0.0307852300825984 0.0299061699640124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0299363729249812 0.0358805656726104 0.00236189396544446 0.00330024075541257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0142491758912971 0.0196559843005527 0.000532302369461549 0.000996757031674939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00863772678400845 0.0133865941662881 0.000195363509102263 0.000474358238955772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.373688235892995 0.488619720339113 0.425066368117433 0.546719087912134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147345837159471 0.210010841418854 0.0604754538883216 0.109148959680122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0823551380691466 0.117448490059223 0.0184060345415407 0.0347926349819582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0535711911836807 0.0759832825395143 0.00770253219502699 0.01467322088604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.222481190128963 0.273172786857702 0.142023893594827 0.177441447036457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0609223747733154 0.0758639117310884 0.00986575929211684 0.0144427399561262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0284816104242329 0.0352523696298809 0.00212333173036603 0.00315092138019762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0166305740203202 0.0207740740839875 0.000719307665497577 0.00111516368570686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.214149424672891 0.218284705238547 0.127505119746647 0.115395882609081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0599400972650739 0.0716906912472659 0.00957990016736528 0.013037845914413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0285035655011891 0.039274821464058 0.00214751638399293 0.00395103577140926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0171053152882915 0.026619219141342 0.000771353815678129 0.0018439163176594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.782689304272585 0.925738891214382 2.07353884300107 1.79173810976121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.303063854503555 0.411072159315447 0.270138720133931 0.398792517149743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.166392970404847 0.233151461535121 0.0773154643483153 0.133791428155132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10758442052294 0.151510065124655 0.0316124036583515 0.0575136238003254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.453786242221101 0.536578809463819 0.640743073147277 0.641247100059402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.122158596857914 0.151435413546808 0.0405675494386632 0.0565394847004153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0570000427318428 0.0704796249255211 0.00859126791469112 0.0124926428330496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0332690057156569 0.0415442268386608 0.00289985836182389 0.0044342933397174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.429878887923059 0.433823281628429 0.544356531807332 0.430026815235964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120344942678608 0.142879144469868 0.0395227613584198 0.0507387883287668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0571216988497224 0.0784075192205284 0.00876407361447109 0.0155477114266707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0341689411811754 0.0531234614927785 0.00313142432669062 0.00723607738440396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.51386887021469 2.65040423878376 24.6190757596377 12.4992969323782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.981235689536089 1.14476126735511 3.27207582083354 2.741556655767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.528484416591443 0.667967937021333 0.8669957259151 1.00419747481141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.333964073151009 0.442832648206609 0.328054030842194 0.461406597053487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.42538020086424 1.53892051460707 7.45665489285645 4.56594180525653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.373500495263767 0.447903081193266 0.411968084640392 0.463802185082289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.172070276531784 0.210732119039308 0.0814314463863758 0.108280783861469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.100071978986859 0.124542458402213 0.0268550209931419 0.0390756179180623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.29406463282601 1.2874963665715 5.77112898393349 3.22257344967275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.370134372911257 0.418133795351221 0.407476704590585 0.403079356370116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.174558633646147 0.231705856883113 0.0873314302068239 0.129116723703415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.103713585895302 0.157951309377058 0.030564748193984 0.0614224848284942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.2950508563945 4.42220284179298 74.157756160387 32.8334977902741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.68396489645742 1.85080165414527 10.303186452041 6.74022540112252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.912357376448629 1.07487893226435 2.76339519841696 2.46080913914724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.575207585799753 0.717644983849371 1.03236183452049 1.15364343932432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.43418479015846 2.54580261772315 22.978690665439 11.7103936947682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.634743355193272 0.736085646867729 1.26519808641618 1.19414201929908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.289646033055738 0.349454813825758 0.239427051861036 0.289191434236127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.167680909883507 0.20726288098644 0.0771935353504815 0.105979153175307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.17646319945831 2.16662039027901 17.4196360261777 8.4145633946444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.629778951735363 0.680084930136559 1.25963383365409 1.00740788869355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.298282356936874 0.377800975756973 0.270659904602023 0.327774731551532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.176440613342129 0.259302931681322 0.0934299240895318 0.159277306627898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.632988859196387 0.765014675576194 1.33461006396158 1.27665000670127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.245308358663456 0.33672208015498 0.176840012279335 0.276671092861018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.135220227408 0.190005457114588 0.051515361271774 0.0912970962446157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0875675821040545 0.123176554347405 0.021228407220173 0.0389209938353692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.366849285181909 0.436776565052959 0.414845312381916 0.440917726352803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0994507913295913 0.122687996659403 0.0272025988959326 0.0381372035661228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0462163594297351 0.0574391532441538 0.00575896349522925 0.00848864600249005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0270119651130107 0.0337837627560062 0.00195348242557497 0.00298015393933019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.349939152583343 0.35250567211766 0.359672962928096 0.293724512827246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0979799161199685 0.116478108319829 0.0264433008178023 0.0343579355005149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.046267652350843 0.0638400164150282 0.00583741872095302 0.0104754432060904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0278512562109805 0.043190749853457 0.00210612394933264 0.00485244088295769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32303353585226 1.45806579448907 6.48909421868018 4.1889984659223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.513024905411193 0.648049043409583 0.836450023610233 0.958730560830225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.276926934334097 0.373241632881257 0.226934134047471 0.337766393180929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.177125585487093 0.244297038793508 0.089584959869499 0.149134892090149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.752095955342897 0.850081165387775 1.92714802147317 1.54071283563642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.200162599668708 0.244194180900608 0.114350881137088 0.14687291292279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0926002416265912 0.114751938273106 0.0235078002891329 0.0334420728417439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0540627946446223 0.0675463400684021 0.00790692719235209 0.0118184234088206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.701033381482829 0.69806119128334 1.5659227781373 1.06289272625492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.197628243209179 0.231107744377891 0.111613202849352 0.130966334488382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0930161883818522 0.127140634708709 0.0242142302157516 0.0407245219204859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0558713385689642 0.0861154299371944 0.00868787605645035 0.0189370490363724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.75729828071621 2.87790223802662 30.2128254576642 14.7965575208016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.07528554454685 1.23048224243694 4.04905520023007 3.19145886245862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.579194535953253 0.718478959352454 1.07404966431077 1.17180832118853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.365293559463907 0.476982646713427 0.404580886912054 0.540416861979797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.5494303465263 1.65622297609997 9.03199166021949 5.34191560637642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.407026005718155 0.48232267654875 0.504359149270374 0.545849367786876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.186384107393864 0.228677269912429 0.0984269117611222 0.129517048296018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.108443165406187 0.13496336629521 0.0324400820836421 0.0464736223233155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.40539160360492 1.39326812251764 6.98210948648543 3.79993682051603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.403526895319703 0.452456912315817 0.496825085593336 0.474208369758802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.18924414435779 0.25068174036817 0.105562278198163 0.152125551146497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.113205536094541 0.170693523661551 0.0373273806696957 0.072003132608755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.62387626798681 8.71471767645664 309.254402507859 122.68502268166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.40210113749871 3.54335955108264 45.3010517199367 23.4214303210984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.85038303604161 2.00930242861752 12.5757266939269 8.15817189164355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.17396089980621 1.33442459362079 4.77376730847959 3.78968534018536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.89486264077683 4.98811433459921 98.1962261390234 43.0161864877746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.28280262006986 1.40505888949103 5.76355401587159 4.17365999265852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.581066662888138 0.67618881840653 1.06529830874118 1.04694574289685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.333894349772909 0.402991049582857 0.331860913962584 0.390253770977393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.3349544599723 4.30841022782571 73.6636036138044 31.4187787601396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.25940621296724 1.30049842550289 5.65712148781721 3.40979413824691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.609866229616464 0.705292466895729 1.27664291226731 1.07434995194279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.366968074281011 0.484684272255376 0.456842778574026 0.520836908790808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.5124013027322 14.587111482704 882.768010790029 334.399595121077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.74866592702518 5.87870559654236 132.270679854154 61.6397300166433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.13706136784895 3.28888098371513 37.6646663712595 20.7585750556423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.99645932906625 2.15790563417454 14.5732979655609 9.40744449554075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.38154003895915 8.46380932174907 293.629833749799 119.527817224833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.21568344032229 2.34514420000457 18.3500022064926 11.0538005169384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0082974782624 1.12823194722967 3.44404961764088 2.77572128977722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.577733143571199 0.67425141983019 1.06073892038409 1.04269066878365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.34956369260359 7.30914756992854 217.029729053107 86.8687042152302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.1411461547773 2.17499135464789 17.5075156669298 8.85097173302049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.05824238738123 1.14684174153927 4.19842115256061 2.64776590972589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.649774347906559 0.777330773880327 1.58292895344849 1.25359825799747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.74929335962911E-06 3.35888516979367E-06 3.06600324908681E-11 4.35249934056095E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.0713739429857E-06 1.08191759290017E-05 3.31279139794396E-10 2.91892834706896E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.89936635985533E-05 2.25145853795026E-05 1.45588339515297E-09 1.28963357683221E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.01776242257115E-05 5.86557186568986E-05 8.32265558894862E-09 2.04324163032273E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.48963907271319E-06 2.24624058049057E-06 7.59254291050454E-13 2.29459897133313E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.45762760465724E-05 1.35838474838314E-05 1.17765133767262E-11 7.80813534633333E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.39632523226936E-05 3.17974195692959E-05 1.6003307079795E-10 4.21820081404547E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.86970787073544E-05 0.000107943172866978 2.07378011951779E-08 1.34220545690622E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.05034171435429E-05 0.000159302225827438 1.47735214817639E-08 5.15750387216209E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.50136349899454E-05 9.52717784286456E-05 8.14640287654347E-09 2.03123051424693E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000163978499308126 0.000225959687350885 1.73124284481301E-06 1.93394811807078E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00059367846527217 0.00077092842208542 9.3100148623351E-06 1.1779953818837E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.205790563275757 0.215409993392562 0.112059212672308 0.113148171341472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0851089622193872 0.0894100279176612 0.0185763262663091 0.0199206312506071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0476303401807041 0.0502607480689042 0.00577874730520644 0.0063283422989711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0308712285224255 0.0327614530565946 0.00242266491578109 0.00269428469078739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.116928066226262 0.12735911957455 0.0354688739318152 0.0405314382386315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0322089205967248 0.0354013030501707 0.00264488589452032 0.0031531988526863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0150788804659464 0.0165580352344626 0.000577113273315117 0.000691671407751357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00880294933930648 0.00976336429925972 0.000196159108418409 0.000244090326989917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.125203602208826 0.103883855151047 0.0406349779344964 0.0269204538006737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0348887843400155 0.0325894517065325 0.00311355981574461 0.00269556590347598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0165423521546867 0.0172052104207486 0.000695669156679607 0.000761826037976043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0100098677143999 0.0115869940112725 0.000251878749773812 0.000361542781533727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.4112410091105 0.431070816668633 0.465627767105586 0.437536898479592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.170186047710836 0.178849062860905 0.0752695441363688 0.078773264996645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0952543257058005 0.100526749583393 0.0232592974716914 0.0251705895175605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0617414711504949 0.0655240250683692 0.00972379479666927 0.0107438248811098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.233990833474873 0.25452007818377 0.144607819605982 0.159194209912559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0644224512619637 0.0708004243050669 0.0106169460255254 0.0125732407726563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0301588906457949 0.0331163624286767 0.00231349790144344 0.00276149099416573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0176059892630721 0.0195205646860499 0.000787055046538795 0.000972835338078749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.249987590081976 0.208127454973121 0.16481912862116 0.105875162532889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0697671359715868 0.0651859742989905 0.0124945583532046 0.0107495034618843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0330391991003893 0.0343641664414253 0.0027840599577779 0.00302956774354063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0197505255250826 0.022866323238315 0.000987762985113307 0.00137387858016478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.823050492039756 0.861117057395651 1.99731700622012 1.63722557514755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.340204762123943 0.357851533024084 0.308723570132714 0.308435957972081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.190476986564567 0.201081783975955 0.0942189653812812 0.0995649230439616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.123478109119567 0.131051160894594 0.039188275917723 0.042685307876956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.468854012891946 0.507497903344419 0.601456159919124 0.612057439300452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.128878073153737 0.141584144458709 0.0427673714696128 0.0499836224721626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0603251093073405 0.0662346622488516 0.00928334564664631 0.0110171457390629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0352161584697055 0.0390367520974604 0.00315736703421699 0.00388044374107911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.496833347380438 0.418650255344854 0.673942483164401 0.411409432115953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.139449175635717 0.130426424972381 0.0503082048331432 0.0426755672425813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0660438181227807 0.0686975200267756 0.0111779458465124 0.0120539311726248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393541984407033 0.0455780886855955 0.00395868379141908 0.00538567367954006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.52533697936077 2.58186159072074 21.6950989693466 12.3702360048755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.02195888705649 1.0729160168858 3.03474545761315 2.57377966123172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.571118126809824 0.603510275695156 0.889451682860833 0.860921772873251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.370353367428345 0.393149374494196 0.363470019645048 0.37426025121802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.42165805613039 1.49291482306649 6.25029175590946 4.6625340225113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.387569855055578 0.424303179178662 0.396814560089597 0.438519054277674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.181177100709655 0.198769828499054 0.0846041401671721 0.0982826587529141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.105764871487617 0.117127957573667 0.0286757405052756 0.0346949005592287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.43496238934212 1.29065838169985 6.42340628369384 3.38294578132891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.415641028671631 0.3927462123795 0.461876301569496 0.372782120437015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.197711792154621 0.206132247851321 0.101901006592179 0.106666085017521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117855824353714 0.136565052228835 0.0361557790725901 0.0474849821295151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.28625711624437 4.34508474946062 65.4359111719144 32.5032542239974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.71378399090972 1.78136633713744 9.04016736558129 6.69192451242374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.952712277723917 1.00491271237685 2.57731942291845 2.3057667729535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.617222636986759 0.655019252509737 1.03817549217238 1.01508294283508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.40340751884646 2.47998937580623 19.1227735933282 11.8211624994312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.64861955581109 0.706026997508294 1.13923953659605 1.18689616830401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.302603927920208 0.331522549511406 0.238414366842495 0.270839704038608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.176624877384557 0.195338941170982 0.080494336137951 0.0958728910507584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.35871317823396 2.20475066836128 18.7834701556728 9.01132995235841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.684766297477013 0.657243645546502 1.30150910772881 1.0008221081087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.328108213693523 0.343763213358802 0.285705616878966 0.291023597668004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.196026893276811 0.227498778641568 0.101509481595873 0.130016873863987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.659187223995181 0.695225153144784 1.28446631051009 1.11647878024599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.272302277034488 0.287271235068902 0.201590515728511 0.205734623565207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152268405650085 0.161231032520236 0.061702673060382 0.0660741677021811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0986735047121011 0.105011341425893 0.025714466240348 0.0282795965101184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.376336209360531 0.410342348460509 0.393494404841421 0.414557105764564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103358282676097 0.113215595638037 0.0283007503456214 0.032973298910977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0480988939271587 0.0527753657347191 0.00608401172949416 0.00721332340481338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0281441971711611 0.0311452029939269 0.00207893895528587 0.00255013303052583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.399931747956852 0.338597242861595 0.443439223427279 0.27827567893818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.111838149801846 0.105235470304708 0.0332232038392185 0.0283057958073656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0527745717468998 0.0560135843331461 0.00734127955396953 0.00811500070962522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0315699594558094 0.0370321746120344 0.00261452452669651 0.00359690294080199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32939847089102 1.38345294595256 5.70777578693935 4.01900858153218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.544427865185577 0.574779370943581 0.839090834746688 0.796289567197374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.304511401862174 0.32248890154461 0.252033474192464 0.259614635152229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.197351449149024 0.210002640859695 0.104180162928959 0.111849357542031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.756450349303965 0.813002131142189 1.6831450137461 1.53930622937235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.206833376396023 0.226366057847779 0.114560344880411 0.130537479755027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0962196392536733 0.105561910812235 0.0244566131155549 0.0287442322999392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0563005249529871 0.0622899882821051 0.0083469268286863 0.0101709018223668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.787589191665584 0.684254654954999 1.82187716637105 1.06790173493014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.223257782216436 0.210679587026178 0.134114937742005 0.111846003132711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.105482383738211 0.112006986417348 0.0295358911346237 0.0322262292508852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0630625942109996 0.0739777446126753 0.0105328219429639 0.0141987892986845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.71791328932027 2.77743995818396 25.9573112261753 14.436718341576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.09204825934561 1.14742611625957 3.60067562158674 2.99460727722403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.609046602776075 0.644873365421481 1.04820066522181 1.00537184254808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.394733418879608 0.419875367347743 0.427292313417681 0.437910855420008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.53165181282004 1.59972695223254 7.54915995288983 5.4064545170961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.414582112739244 0.452275620990417 0.470206841800952 0.511242883603038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.192637192535849 0.21120354051882 0.0988859609208997 0.114184832726546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.112709932951111 0.124604040944316 0.0336443086863759 0.040497005769694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.53255919650483 1.39548328835854 7.63840379502969 3.99438339570975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.443391618339144 0.42275357395809 0.543599600860232 0.436950688531603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.210477719499157 0.224022898776845 0.119243276314874 0.127129215690028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.125968240410445 0.147903752962568 0.0425788301114126 0.0560487356075845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.46734261590507 8.52209144780745 269.948651634008 119.218919639681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.34683455449143 3.42244593356335 37.9944584903761 23.319614000552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.84268951741194 1.91931522084026 10.6219918305011 8.09332244180057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.18731393143322 1.25362110739848 4.17968872465392 3.64902278039274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.79251258679161 4.84679123802276 82.930450006034 42.0842713278885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.26524653731892 1.3509103934357 4.72488558448884 4.26134642019133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.584312606818269 0.636506806022705 0.942519233446091 1.00659944039943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.341631953756085 0.3753926315725 0.316611331124815 0.360263323478909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.57354416628388 4.42334666858374 77.7946507733119 33.7758649233268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.28689845923938 1.27140946004522 5.19022422900379 3.47493432654992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.617821256580831 0.668096459593493 1.10600325693368 1.04771677213388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.372685239546547 0.442092155624875 0.392855109401712 0.476234756138022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.2744256076595 14.3217821877653 778.043759312733 324.935484249024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.63800186540031 5.71338785090228 111.677105043003 61.4909998436345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.09376310849697 3.17797069669176 31.4307107501423 20.9513522181805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.98775471582253 2.0716453387348 12.2885448235206 9.48142735144404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.20081686928513 8.23501551247778 250.073430588014 115.21849225572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.15861483619863 2.2599775565935 14.5994828199694 11.286160795616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.99425258782821 1.07208711610459 2.83058686369222 2.77254527195759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.580626177503818 0.633047499021034 0.939480547379931 1.00392703947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.70932654519016 7.55541970506824 228.074612051172 93.4222268956215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.13741226578855 2.13303295547238 15.4894277106065 8.93031466938824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.01879468712568 1.09790279020232 3.27899764711843 2.5833793823366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.612594375151791 0.725354665196397 1.14407749182052 1.19052196840898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.08111764495281E-06 1.49776512293481E-06 4.91035288309719E-12 8.22733909796821E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.26498908702765E-06 5.05619697236027E-06 4.39581715387921E-11 9.21139229300602E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.88381111019479E-06 1.11620922085129E-05 1.99505361679025E-10 1.25416437662851E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.21986176719027E-05 3.07739737842869E-05 6.27384251689449E-09 8.99647454766263E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.75687221585747E-06 2.12555309758605E-06 7.7352590987637E-13 2.07981346691869E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.15582477059235E-05 1.02643135559623E-05 9.77543183880974E-12 4.82845055889661E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.54172453191112E-05 2.43138502170328E-05 5.25395665834854E-11 3.04346786166893E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.202447114918E-05 7.40127271824552E-05 3.75600679501165E-08 6.86875538477552E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.76977188281122E-05 3.92600745765756E-05 2.44240557321375E-08 1.2867652456019E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.21218949067461E-05 3.28125214211248E-05 1.10076839075306E-08 1.47840436502136E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000200441277585753 0.00019368535187746 2.00732828847265E-06 3.63447343864043E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000741999465318842 0.000847383957108517 9.22348668783931E-06 2.28698169730458E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.2132764829825 0.230583787613387 0.115966640242979 0.130064498365173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.088288995580306 0.0954628573588129 0.0194297809839638 0.0224066737047007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0495266518272744 0.0534886448043951 0.00607741188509991 0.00703035493000381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0322014456294471 0.0347166610749103 0.00256433964271065 0.0029589067377265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.123321484325927 0.132308057598119 0.038252812922833 0.0430058015388411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0343268017567106 0.0366386925994166 0.00290125235467441 0.00330021563182918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0160370554825598 0.0171408164392243 0.000631143088877711 0.000720348479852609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00940603799566781 0.0100253884500643 0.000218047510880205 0.000247182939135692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0973870708300515 0.139852398039307 0.0241362948830716 0.0480705584048484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0313230711033825 0.0390442369857572 0.0024957832288335 0.00374715072699677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0169767103021782 0.018516282507251 0.000733183930109482 0.000847718510207384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0115976800840572 0.0113511208057036 0.000333178135879242 0.000346414619461637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.42679984552507 0.460291989046562 0.473372221943038 0.508416823261422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.176605466871389 0.190884096147173 0.0781134506621465 0.0891813074365492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0990590964844945 0.106969641025123 0.0243623140400409 0.028063757235652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0644044282091404 0.0694310022685013 0.0102680296398392 0.0118254210045544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.246670677634076 0.264498901334365 0.15468806104239 0.170131623741815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.068656128639349 0.0732751519029525 0.0116224899554687 0.013182592259519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0320751021304992 0.0342807844015137 0.00252730133232119 0.00287874525104008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0188114464046158 0.0200499077487837 0.000873740544307977 0.000987768684926469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.194925234319164 0.279450810257884 0.0977917824848399 0.19034391234555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0626443182547522 0.0780866891291852 0.00999623217282603 0.014968118509665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0339105425188137 0.0369487594777976 0.002934043626071 0.00336114643529322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.022870371436509 0.0221724058537049 0.00131862405221517 0.0012599713433284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.854010331126917 0.913693885166778 1.97557231339436 1.91514257718978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.353368436115443 0.381487138819112 0.315730525587298 0.35288830215909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.198149604310576 0.213893463901262 0.0978869211291767 0.111761057782283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128816850647975 0.138847386484299 0.0411704735500546 0.0471936315655081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.493572535521494 0.528241906223637 0.632581135724241 0.66445417453963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.137326992101652 0.146543943439544 0.0466233798574065 0.0525950363655784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0641556827689022 0.0685607331157043 0.0101218146373787 0.0115036072322099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0376258462301421 0.0401005114643335 0.0035000410432465 0.00394825497368842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.391168084992295 0.556754208541729 0.403120256626635 0.742078902160247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.125278907649511 0.156154359370809 0.0401275641802467 0.0596673572887505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0677986008824095 0.0738424829239302 0.011766341005411 0.0133778269131983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0455777747775707 0.0439960890525897 0.00529655671306297 0.00486264044046416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.60570067724895 2.69019219152932 21.0903884975792 13.89848036846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.06294931013768 1.13654206967815 2.9755381322686 3.00175496494366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.595110167714797 0.64052843410905 0.897950928907926 0.985562389353465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.386610094834928 0.416204248668938 0.374320912032587 0.420239981522583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.48658817222122 1.56222618805187 6.27149667088522 5.2606902338412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.41231342371024 0.439644968439588 0.424687638280444 0.468751712227223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.192601195309231 0.205752666866436 0.0915191517313604 0.103291638317079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.11295588252952 0.120348705679052 0.0316221200442912 0.0354939604366083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.22926759096291 1.58874230554079 4.43561773317312 5.44386808191209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.37557847926766 0.467685941949954 0.366676265817142 0.527604289759256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.203206755039023 0.221357008162611 0.106760352488286 0.119044226183239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136564133329187 0.131522102478896 0.0482490783995305 0.042636229372071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.4252586061957 4.50543815221504 64.2322145538862 35.7372213028127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.77846971368236 1.87557201838172 8.70602839035615 7.77466868518936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.993297289782388 1.06406836345844 2.54607349960038 2.67068638251809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.644761207547066 0.692706953917121 1.0509713380628 1.15301877427017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.5057576582155 2.58965701648883 19.0280028473281 13.268649414304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.688177241805857 0.733021842972765 1.19559302878584 1.28996023246495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.321409891475099 0.343244428903328 0.255660245007929 0.286620778173188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.188493333882999 0.200772790066104 0.0882366156853301 0.0986030347861304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.15513071882949 2.55269044643772 14.6717351529503 12.8229425171876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.625496857810013 0.775344348159704 1.03746097371933 1.42303549491754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.338073462288424 0.368496565150619 0.298530537289384 0.326575145894913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.227470616718799 0.218914132498598 0.135166233823749 0.11677727907883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.681617755161471 0.728568205801917 1.27984303502404 1.28894697196129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.280431414731402 0.30101580263219 0.206189856277898 0.231154453316569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.156822686530063 0.1683479737697 0.0639055749656402 0.0728945187332325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101857868334343 0.109179165761463 0.0268671193557002 0.0307364093945474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.392530130923704 0.418018303858152 0.411539222257929 0.436775647804561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107814397034571 0.115283099234791 0.0300710719661793 0.0341893968868014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0503754133882675 0.0538770972900942 0.00655104366330908 0.0074914184324416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0296162640322922 0.0315014762161939 0.00226698689968845 0.00256785731796254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.313196065704813 0.440477559078957 0.263175881770992 0.487816820980642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.100954635353711 0.123011224304569 0.0265435251906625 0.0388640101857853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0547167124474204 0.0581473391797901 0.00774335226017597 0.00871417530310889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0370177635192498 0.0345796478546287 0.00350566954648202 0.00313525608954885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.36433792553929 1.43657716453803 5.50754433265106 4.6166666438126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.561142095872991 0.601048980701517 0.838751263559925 0.907234144592778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.31368859854483 0.336553385810268 0.257445732205889 0.28943232551206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.203721101148025 0.21831867249225 0.107881130333725 0.122466411900846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.785576905831164 0.832619835315983 1.70852330296621 1.66904218327418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215663818069716 0.230594870837195 0.12083259202486 0.136247176576273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100767906658342 0.107767447051875 0.0262516797373343 0.0299338137278346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0592406080883848 0.0630089687265402 0.00908044804306406 0.0102639289642462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.633739126999448 0.8694874536312 1.12506786520824 1.83172724009664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.20186168647192 0.245902307795089 0.106805210358219 0.154465083884615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.109395372002954 0.116241049165209 0.0310829172180546 0.0346808680272565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0739116885623621 0.0690306582056894 0.0141049103640954 0.0123283674800519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.77630583997784 2.86103194654487 24.9728841738353 16.1392302031712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12371547811583 1.19448317191617 3.4824065797855 3.45574289143257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.627748447943167 0.672049430029087 1.04544669802141 1.13821427269583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.407514605804303 0.436336430583646 0.434983743093907 0.485566864516393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.57607507324674 1.6469033778828 7.39379387193805 6.00914528494131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.431635700590247 0.461370142350104 0.488126395205679 0.541059720932719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.201670088533055 0.215658923712288 0.105430353965453 0.119582883936405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.118541410595866 0.126097186939933 0.0364119113882404 0.0410408714048269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.32301995564192 1.66351422155602 5.36482809531149 6.13256643720694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.403286873238591 0.490780332936792 0.432390883972768 0.607675969655211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.218598923248024 0.232335479624283 0.125087767095425 0.137495327666302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.147714750050627 0.137981145024399 0.056867793243736 0.0486814973660025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.68141517310157 8.75569170901036 265.460156100651 129.261437538225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.41757444806595 3.52707304208057 35.9820500544271 26.3675299998622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.88976788916929 1.9893747950569 10.0785786151831 9.33929690569006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.22371934963823 1.30062979505937 4.05159158035459 4.17097677640555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.90410167633864 4.990902297343 80.8533917828307 46.0657363053268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.30566990262427 1.38803716853564 4.63205629065841 4.72705765275579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.609376124461933 0.651212750194794 0.973617125940266 1.07925556904801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.35777252754228 0.381046720501962 0.3337214374173 0.372246902930742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.39434868041767 4.76059095925736 67.4447642828045 41.295881815234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.21569991115172 1.41883244668604 4.30182502022708 4.64267554945955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.647655274460189 0.68998538510189 1.14770299391481 1.16016662530038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.440647332342349 0.412088937101951 0.522641544404936 0.417628014242728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.6645217411279 14.7199198941276 771.248294669849 349.918860221765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.76382223669434 5.8777857316633 106.769380634132 68.5665881862396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.16566242820622 3.28296944225952 29.6890227190777 23.9689945429628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.04048919023951 2.14604210208486 11.6592760389923 10.9275830882791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.38870745442659 8.47990860365445 244.67436917255 124.899652150486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.21387000425364 2.3248734365365 13.9014558492444 12.6944994408971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.03041301447345 1.09916637220213 2.82497893796556 3.03615634364004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.604085559028779 0.644459621092213 0.960928664847261 1.05700829983877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.59871856247306 7.94976640545648 208.274905508715 107.158485718836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.07942221771078 2.30299619522347 13.5863917339188 11.1446376785505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.06810306894572 1.12549369764045 3.34353268939082 2.86550660354564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.722601614820862 0.679643362553164 1.4795316013172 1.07066099766908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35937645531691E-06 1.0140189870606E-06 8.09125770356185E-12 3.81915279661817E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.37823983523974E-06 3.16413658370249E-06 8.45833147690611E-11 4.05555401001054E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.01917381974546E-05 6.85749604540996E-06 6.82089655853609E-10 3.86227681816528E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.42059712903595E-05 3.63184276476363E-05 3.95496619252426E-08 2.30004220675965E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.44102504604111E-06 1.80527893505513E-06 4.65541284326118E-12 1.52859626515244E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07817306882966E-05 8.39769294597E-06 7.39458659150891E-11 3.19626392163277E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.69095677215694E-05 1.95675065251234E-05 2.53815058207973E-09 1.77920105956529E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000115465064142206 9.5612988153402E-05 2.54519601366009E-07 1.56495561635648E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.22423469570491E-05 3.68216969150538E-05 3.85865444366161E-09 1.28837847006716E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.26019659014326E-05 2.52823632718995E-05 1.78939677437747E-09 4.93728986547539E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000185707059083008 0.000165470372347754 2.98316442903031E-06 2.02222789889645E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000792139731178047 0.000736048891885625 1.56685472280928E-05 1.28650897878247E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.23017849600932 0.230653438748051 0.131702534376283 0.128567979292876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0957990882970331 0.0957959242080055 0.0222849702777548 0.0221735471475016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0538138201641832 0.0537969137945585 0.00698681105469768 0.0069759836184695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0349721263150077 0.0350051212376106 0.00294477911660878 0.00294775759067953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.132734922538312 0.133137834279079 0.04334601839624 0.0429930402520699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0372346396240477 0.037175158892476 0.0033309409378659 0.00332307949861225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0174156775907211 0.0174005348985824 0.000724524088781434 0.000725134633303261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0101844467967413 0.010256558580274 0.000249173531088419 0.000252837615031402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123838111620724 0.121300567193207 0.0378732804011979 0.0356924512775519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0354717372540022 0.0349548729149183 0.0030546811735726 0.00295872657151087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0170783810184616 0.0169474640487307 0.000704925021014745 0.000702970528593642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0106158075334764 0.0105590875757427 0.000269816647598172 0.000293922424346752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.460179021380041 0.461293042779498 0.533819367561541 0.506688535234625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.1915883192298 0.191602009298244 0.089424806432465 0.0884041848170205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.107625032435865 0.107596260741555 0.0279822124883811 0.0278676581343645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0699424382732449 0.0700115258003767 0.0117811212610858 0.0117878476824942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.265444682367816 0.26627609076559 0.174579181300995 0.170722005534985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0744702684145831 0.0743503991656107 0.0133355333226859 0.0132813679624424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.034831860062404 0.0348009788185832 0.00290005152511493 0.00289884410826065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0203646467386736 0.0205084224956455 0.000994545851352041 0.00101220011486764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.247648559880688 0.24262297515543 0.152887335799299 0.141408012624111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0709423235804029 0.0699134281303527 0.0122569322733341 0.0118001883475288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0340776028324956 0.0338325098222924 0.00282108441622059 0.00278547159299691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0207744253432824 0.0207472436706294 0.00104022360121758 0.00109297795789409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.919110919684099 0.921715579258356 2.19082327268908 1.95974090907063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.383123559014214 0.383234740922044 0.35996837098474 0.351259634344582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.215237613709811 0.21520072268285 0.112219503411053 0.111169292344374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.139878823684373 0.14002529836258 0.0471775908774343 0.0470932231275647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.530732879236137 0.532482378483521 0.707828807119074 0.672565671790101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.148947588991388 0.148704783559677 0.0534291120410171 0.0530478297702194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0696675448448352 0.06960340554224 0.0116079750758465 0.0115898463273185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0407303714305951 0.0410157758311528 0.00397564466947134 0.00405097925687767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.495073392206195 0.485369336562641 0.622518694247333 0.554761389149338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.141885402320274 0.139847784904849 0.0493453194937234 0.0469110730185883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0681087692146624 0.0676289922496762 0.0113434361480381 0.0110579771772486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0412781813639563 0.0412899185004013 0.00415941338426568 0.00424251885628598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.74314546901779 2.75279747054898 21.9455567982966 15.01378014763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.14812240044745 1.14928293672963 3.32052787154753 3.06920214240166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.645479475754546 0.645611616914106 1.02033714748958 0.989231550381145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.419542232297986 0.420054489734975 0.426812829431165 0.42133120480658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.58758888301734 1.5912313428675 6.72983213612427 5.58959422157472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.447062312598436 0.446295947450773 0.484215245350311 0.474975492134427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.209120569844876 0.208899832938126 0.104742133233674 0.104256356356822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122263118279652 0.123103712750862 0.0358240428993852 0.0364885137980739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.47866995751632 1.45566310258037 5.98363185066326 4.58279854633425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.42584105663698 0.42002262454874 0.455904814244624 0.41233833688277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.204368155552242 0.20303039765784 0.104294892797486 0.0975736543656532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.123589803853248 0.123752469357138 0.0382492684075061 0.0370603148834382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.61105877237531 4.62989139331387 66.1093388728659 38.6251703404043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.90920914306129 1.91231394777136 9.4576634185197 8.20981690380719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.07515897768078 1.0757760368917 2.86238985044052 2.71422780855478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.698983141877502 0.699949488037473 1.19158401023181 1.16282882806338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.64336304846814 2.64934717710658 19.8196927419489 14.3222991427441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.745826198348477 0.744492390591589 1.35584640624207 1.31364421549921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.348937253898081 0.34850560144832 0.292020025457641 0.28980267340946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.203999622943904 0.205374224916656 0.0997876270618862 0.101497809052838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.45822760423866 2.4303556352697 17.677586933914 11.7482419519156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.710421827295139 0.701433797671539 1.29964778398775 1.12129129662938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.340954818207908 0.339025677216467 0.296028663789272 0.266543136416231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.206156796614243 0.20652292902423 0.108500324917878 0.101133591748408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.722942611545721 0.725585083702035 1.40655596082864 1.29576064164927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.297764021835054 0.298829593540362 0.230469223957035 0.227950485056597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.166745848973271 0.167154693338884 0.0718095376248798 0.0717384501409753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10824516261876 0.108545012245274 0.0301876119951256 0.0303100032166524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.417152950916542 0.417765893309376 0.458417948652391 0.439405983531053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.114762327931532 0.115317015457934 0.0339430847860189 0.0341654890068741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0537176698745638 0.0537004996854448 0.00742059380954402 0.00741182260487737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0314234807770616 0.0315678186144184 0.00254499594843212 0.00258077184166185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.389348321516257 0.381869051675187 0.402962207695965 0.364586988419416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110164970199073 0.109028233695512 0.0315360409436692 0.0303347667876961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.053193441971338 0.052963045031632 0.00731309948249389 0.00717596079206753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0325610469597706 0.0326280443834356 0.00271208810061355 0.0027805364972111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.43934278074535 1.44371751710434 5.8638994570237 4.83800611587173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.595449432738778 0.59750537076699 0.931533650900692 0.9013606126265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.333475109961637 0.334283639356289 0.288485841009658 0.285622591684716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.216483024086868 0.217080560200015 0.121009952258146 0.120954148635391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.833514973661249 0.834813362480305 1.87366597439072 1.71158126799408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.229553309607532 0.230665578586382 0.136139541777273 0.136370842221966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.107455733740325 0.107415897519723 0.0297125451074515 0.0296378882657337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.06285571207033 0.0631390195420369 0.0101796101634602 0.0103280799841181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.777993373164403 0.763758811052235 1.65853318631956 1.41182922606569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.220350241558384 0.218155099303393 0.127518435129522 0.120141231584983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.106391469617478 0.105926157579088 0.0295178434604834 0.028445832692088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0649028865546213 0.0651879263438985 0.0109105408076706 0.0109242760378546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.88037180616453 2.88368049916034 25.6322457156998 17.1933173526571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.18994402349475 1.19381225696642 3.80256406964958 3.51384545381536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.666828186222576 0.668390242314901 1.16378077305433 1.13139638330692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.432905097768086 0.434085347573303 0.486154228294287 0.481322231254649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.65939772199878 1.66318930315918 7.82285812355019 6.39819723004445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.459353573962296 0.461589255026856 0.547808861749303 0.543449473874975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.215062753596857 0.214964600710856 0.119144345165011 0.118573686362733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.125794803004989 0.126337497517928 0.040775450947346 0.041353319306583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.54828845179258 1.52567231373212 6.98538373152692 5.25777053494275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.44096278890314 0.436965602375871 0.521375567379422 0.471729209155387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.212998735521595 0.2120215285423 0.12025498936976 0.112057536857024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.129746110388313 0.130474827585568 0.0443528315607508 0.0429438956300171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.92280528954363 8.91155074036738 272.233947312055 137.212538853554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.56020312016522 3.56327601984819 37.2735086269411 28.0482721305397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.99472454978179 1.99896857502613 10.8181659228423 9.69365220335835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.29663962456484 1.29987631857813 4.44448942165178 4.22608304725952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.05771714464207 5.0686936343888 82.5540252190855 49.5610575238052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.38608384767507 1.39269233336904 5.09430046368603 4.84201620937754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.649765266515469 0.649121495485949 1.09265263153222 1.07639049614288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.379993419576592 0.381135385756909 0.372774758698747 0.375420324968392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.69252323300972 4.68035606496433 73.7418162063138 40.7484860894151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.33078674634901 1.32473917514992 5.09837759975019 4.0045827395148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.644325688401335 0.641359632183671 1.16708752425535 0.960954994187343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.391452981031787 0.394517769338931 0.426695892952532 0.368627905324659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.0772986343246 15.046171905851 796.233492553862 370.865844574675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.96543875152835 5.95964729863621 109.778044079501 73.1226174422883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.31258063175918 3.31677718466445 31.0554441294182 25.4072249165642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.15325944065535 2.15794688987868 12.5119319652069 11.3549190865805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.62666656930578 8.64236211449875 250.535534629421 133.83644293693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.3364469721103 2.34582443597795 14.8867712472926 13.336369327159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.09778616436934 1.09597352917245 3.14146622890433 3.04942729291077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.642076986052692 0.642968682491022 1.06945256240355 1.0630827274568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.96006795385602 7.96662863371297 221.750571861403 109.138716614955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.23549300782384 2.23316273074179 15.1947176571999 10.6282755417324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.0872711268044 1.08270093764012 3.49445953847559 2.58034652496035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.659759765627379 0.666553768328209 1.27674950991554 0.990125151168291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.60942997007129E-06 4.57304889361432E-06 5.5806777554726E-11 7.83632052363354E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08040475715897E-05 1.54461576194111E-05 4.98959311921804E-10 8.96325869373784E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.35277400584608E-05 3.29535604971721E-05 2.68969941082143E-09 4.4159124839474E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 8.12323148144144E-05 0.000123606178957767 8.41760790978843E-08 1.83966137856374E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.77065287266521E-06 7.43394100448728E-06 2.75348836137651E-11 2.60578300072811E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.06532776995096E-05 3.57652162002547E-05 3.65256636120606E-10 5.88028624257923E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.15864836391921E-05 8.10035663559298E-05 5.22205399642995E-09 2.97961317285319E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000227346941373456 0.000308320760398325 4.90547903530323E-07 1.28206103240407E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.60491877802105E-05 0.000227176679397417 6.21589943075254E-09 1.49443475976566E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.80522836180648E-05 8.51737716242481E-05 2.66367410235174E-09 1.70198880007996E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000258658751763823 0.000273448925817445 5.29923708216043E-06 3.3644692135466E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00111517151676817 0.00125005885340229 2.947196992889E-05 2.99126387835541E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.224163886509619 0.229487043962645 0.12621651502345 0.128666461944352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0933359083656322 0.0950532384682025 0.0214550702757103 0.0220483054519865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0523967476651852 0.05331378424398 0.00672534611696381 0.00691635629535098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0340548441536089 0.0346686342107501 0.0028381046894281 0.00291265841369888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.129267033589934 0.131617119844367 0.041585261973888 0.0425418612374544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0361898938790128 0.0367400734831077 0.00319755385533006 0.00327918416597314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169439045904353 0.0171604671514531 0.000694580942814266 0.000714486121407567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00994326236867238 0.0101322097162349 0.000240369558311977 0.000249636101601734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.134138179187073 0.107060889208516 0.0446651701853789 0.0284088399023378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0377288871274057 0.0333727634642966 0.00348537752918691 0.00278055345573809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.017871291368189 0.017608036039114 0.000774091529184688 0.000788192980860283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.011052859503828 0.0120894257874155 0.000294127088599618 0.000400590459867555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.448279886535427 0.458942611934508 0.510340248906867 0.508711654953482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.186670525141653 0.190110013184522 0.086047064102578 0.0879621967757977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.104793873965935 0.106628253758087 0.0269272702506448 0.0276412378005066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0681082340837438 0.0693310819195199 0.0113478715603047 0.0116582643278958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.258519726815819 0.263236116610893 0.167320854911429 0.169156165605443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0723826241555416 0.0734830878830805 0.0128036318038272 0.013103922639148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.033888920893262 0.0343216749722947 0.00278318500386925 0.0028522694790732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0198717771112882 0.020220387151288 0.000959370757197437 0.000994011054164432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.268200007474949 0.214173777571814 0.179598801329274 0.112835011980516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0754572837268877 0.0667448317562139 0.0139592669587635 0.011105246220648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0356389885103684 0.0351307555545097 0.00308800915193585 0.00312711261407292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0214096527378834 0.0234014922922091 0.00109810048999406 0.00144117491823944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.896064080099559 0.917198610385879 2.08489173500095 1.98308206725921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.373337771971255 0.380217979653704 0.346027198166522 0.349926514835335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.209588121158578 0.213257521919656 0.107944498766602 0.110326449597944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.136215493323356 0.138658185336652 0.045424256440039 0.0466066213253463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.516984827459569 0.526420804182119 0.677101342916402 0.668364768992356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.14477983214134 0.146980527895732 0.0512977736798891 0.0523467789361786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0677856878743537 0.0686483665974683 0.0111467561001145 0.0113969250687717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0397381198499786 0.0404158481896274 0.00383588028365457 0.00397224566138324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.535837784993173 0.42872162627574 0.725150986910188 0.445421028350274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.1509058990984 0.133490054709709 0.0559848769438826 0.0442808213612845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0712245831518714 0.0702112702535377 0.0123766542114453 0.0124529090658983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0424071460453792 0.0463431204251695 0.00435375273146127 0.00554929222509646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.68070219122222 2.72675102614057 20.5483950059043 15.5266305575467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.11985467162612 1.14000796248985 3.18105283698594 3.07391168849307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.628744583424618 0.639681974356894 0.980179440404963 0.983495562981421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.408626000396687 0.415928333081304 0.410627660534352 0.417488127050584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.55000479746007 1.57541668668166 6.38676996460447 5.66937364425016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.434661139237975 0.441256771869804 0.464736809654093 0.469233306913294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.203527879830441 0.206079272355834 0.100642618666716 0.102532735185242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119299917306748 0.121300981019095 0.0345767664215444 0.0357809239413511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58718357301378 1.29792794317297 6.68150482489171 3.81806584072971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.45234613582358 0.400538609384219 0.508786335390647 0.393430213569243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.213497856795054 0.210610378557573 0.112278211278317 0.111044012571913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.126809826240627 0.138614621774706 0.0396039608672247 0.0487778575818791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.49790752395588 4.55168901012431 61.9258442035704 39.3575346992496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.86541604051414 1.8969868875658 9.03007090606586 8.28841219037134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.04778718684674 1.06569261922504 2.74668100928647 2.70327100382167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.680939244162091 0.693025695753373 1.14570966101461 1.15329080767476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.584629676019 2.61394933878851 18.686019150378 14.6323893047932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.725354133145145 0.736294170665068 1.30084192503447 1.29940730483446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.33968396128605 0.343882189277904 0.280671514844513 0.285163274509061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.199101170420739 0.202421731166783 0.0963319144374906 0.0996016701736839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.58560376648122 2.20478597823614 18.7825913812172 10.1743680975898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.752555226111324 0.667814027273005 1.42507770241675 1.07830026963597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.355471143113738 0.351028034535517 0.314051327297554 0.305802678204366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.211171327313648 0.231029930447147 0.110975440677259 0.134231288148959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.716707083986588 0.722128315860625 1.37581092886883 1.29314502397319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294850483854317 0.297725807736223 0.226517101495319 0.22630291393676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.16493192374325 0.166421423002292 0.0705077178505336 0.0711262481777412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106950654034509 0.108094840097399 0.0296041610441188 0.0300442314288982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.413341395012196 0.416204297240172 0.450147177986466 0.437739785903905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113296107922374 0.114820948415009 0.0332215278267203 0.0339032451224733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0528555331174373 0.053474219186751 0.00721250006660806 0.00737296755804881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0308946370014805 0.0315038164997673 0.00246556009803627 0.00257531712566823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.427226801756762 0.341762431266923 0.480885859565454 0.293213540350488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.118226281365958 0.107289246610189 0.0363038492443868 0.0294583949483371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0555722878270804 0.0569288640226597 0.00800249858128768 0.00830361517468132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0332556614510057 0.0377153487638895 0.00282786009672235 0.00373342238020303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.4300061016725 1.43769474480543 5.69781616406055 4.90312350465754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.589704789029284 0.595271306383212 0.914215982910906 0.896411943703292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.329868268466766 0.332817513768777 0.283084900047059 0.283406097153044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.213903563186093 0.216180711483432 0.118624432930477 0.119974836236605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.826331881745717 0.831815107108546 1.83460638504964 1.71230664513196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.226630072219967 0.229683767191222 0.13322287474215 0.135360301685169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.105732364104818 0.10697311783683 0.0288877572052787 0.0294746722535243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0618012912734204 0.0630142683807898 0.00986703614437992 0.0103056321157635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.851750729467871 0.68516849014241 1.9474508589174 1.14913737513529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.236379650768467 0.214579386998448 0.145816457064165 0.117218497962621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.11107960283237 0.113828028664199 0.032114336094865 0.0330638663448953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0662052469811873 0.0751242634706871 0.0113337627063099 0.0146214498635783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.85308642093287 2.8572695473443 24.5539158184734 17.5018287827432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.1793449200412 1.18907973062745 3.72331276083692 3.50816470299877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.659728154961979 0.665428535924306 1.14080362027369 1.12420106877586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.427791184974504 0.432284980488304 0.476310718823773 0.477848678999184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.64823772443662 1.65804419221108 7.61516329315632 6.48093281715577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.453547650074775 0.459677684749388 0.535844733441829 0.539825889976396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.21161847856109 0.214114033664206 0.115851665616517 0.117937958422284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123695033864929 0.126124684184172 0.0395390025237826 0.0412767040244698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.67769586684104 1.38339583083837 7.88234211935878 4.42241112432673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.472258474342366 0.429158523307723 0.587667754782295 0.46383147739129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.222025644594744 0.227625783524566 0.129258929480217 0.131286277757817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.132214858733661 0.150113929406286 0.0457158483551946 0.0577496752310252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.79608276423599 8.77740483688276 262.890306721334 135.863361553375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.52913163266407 3.54101235728454 36.087755470846 28.3226170303303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.97721031933749 1.98909081282922 10.5723410380871 9.69892890014537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.28230728724456 1.29409699690786 4.34834126234319 4.20774455487139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.98809650680002 5.01664734559269 79.3320592403812 49.9198107076725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.36952748737713 1.38798242133957 4.97416606066185 4.83149413068173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.639490352354216 0.647178997021749 1.06274172217876 1.07277370210398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.373794452084203 0.381085066820226 0.361811926095737 0.37595458228891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.81630715505507 4.41515857709461 75.0727903801732 37.05411662186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.40189634688775 1.28867472267201 5.41043720335462 3.97560074620289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.663250805991361 0.68195721582744 1.18913017879346 1.14443241345904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.39567656028385 0.450726658634752 0.422541982444601 0.506059937124359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.8889159291981 14.8420422546221 776.442722255401 364.84167940663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.89740535830968 5.90701305879353 106.228966439606 73.3000612862632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.28492134045961 3.29757846160889 30.2042241515733 25.5590930682391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.13218662472468 2.14770029018919 12.2251406397473 11.3516726473333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.50480800676861 8.55377654101697 242.501059718322 133.670610782656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.31136669114468 2.33969226206865 14.50094020433 13.4034861375024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.08112786466158 1.09414561303708 3.05766344677994 3.04958394720691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.632025619736128 0.643692124443255 1.03905066149099 1.0686130192459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.02838446376695 7.64141832326606 220.85715710913 101.822724316384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.30274844871017 2.16167954839586 15.3922318634666 10.4956185510774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.09925720297926 1.13466306184619 3.38711052235253 3.05630823924286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.65780250651839 0.751969209002633 1.2082072676073 1.3678093028499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52790116294706E-06 2.72533219487517E-07 1.08446134722904E-11 1.35838873791662E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.29779577795454E-06 1.1088194611057E-06 1.8796310131209E-10 1.6016955215357E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.39274836105434E-05 2.32936271343206E-06 9.89578921437778E-10 9.74266204273719E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.84357452866778E-05 7.3224077518755E-06 2.07319239635794E-08 6.34439241001256E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.36661578631313E-07 3.06532137288613E-07 3.38625999282925E-13 4.27402449764611E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.30535646861134E-06 1.67179111743182E-06 8.64275634903718E-12 1.24830208886394E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.26936530671785E-06 4.09059316495212E-06 9.48355267377434E-10 9.3010245186405E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.41452339420413E-05 1.46536955990557E-05 1.10083883545045E-07 3.32144264336743E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.87182949442875E-05 1.91714428221297E-05 5.54387227384097E-10 1.06869444104678E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.5016669803186E-06 8.01206834087882E-06 2.41043149161497E-10 1.74868374134059E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.02723768469938E-05 2.81726366788137E-05 1.47733824984707E-06 7.96862171928533E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000629118691370183 0.000180353295880246 1.2935061558875E-05 7.97731395708197E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.28913149672903 0.133322001220559 0.215057743951475 0.043116992857521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.120117650364275 0.0544217185631977 0.0364963519629838 0.00737173307868073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0673568866750348 0.0303567180948574 0.0114236277243264 0.00230323932805986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0436876832562718 0.0196939357585156 0.00479992125689502 0.000970949607148984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.167430044659973 0.0753884865013313 0.071189812094676 0.0139829269846833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0462280763692663 0.0208293206280658 0.00535764061293914 0.00108230581934054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0216237549250748 0.0097058927340909 0.00116855400253351 0.000235512174989174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0125847417382654 0.00572648102491243 0.000397360805941834 8.30671356013672E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.173361494575603 0.0627841963203863 0.0763085110375727 0.00967236743079532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0483096965587088 0.0193308656650377 0.00586268408203063 0.00093810536695896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0228373648240759 0.0101105082278911 0.00130510192799046 0.000259137339677444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0137361414574326 0.00666037558055314 0.000465154887561659 0.00011560337487965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.569456472180944 0.273617367061683 0.852528822705187 0.172933282802247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.239967516014982 0.109069526801731 0.146395578592572 0.0292959341068027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.134675321378752 0.0607480695142031 0.0457685528790073 0.00917896572753981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0873662106717337 0.0393967946354194 0.0192136574978467 0.00387515806991409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.333476304380219 0.152017651019781 0.285498343837439 0.0555452322264442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0924427469167649 0.0416748448499261 0.0214555614710878 0.00431897011978153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0432479104211557 0.0194131462013884 0.00467658485236869 0.000941064547384717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0251632112452763 0.0114525400127384 0.00158678128112313 0.000332062504337363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.344644943332106 0.127497653266991 0.305152082137378 0.0386927492157388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0965809787277017 0.0386955588382471 0.0234975794190142 0.00373198351515119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0456527028517858 0.0202196660007699 0.0052298809203149 0.00103114914578546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0272029301882667 0.0132726647786619 0.00184328952783374 0.000452792098607743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06090088617616 0.613892582110385 3.1967024661786 0.779066080638443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.477300740775467 0.220386730557888 0.585343881689426 0.116955337652508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.269024854125615 0.121774554717477 0.183450540672907 0.0365364724770247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.174651866615669 0.0788607935482259 0.0769634185292055 0.0154434724151422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.652907919751916 0.316883315662591 1.12382721804512 0.229423061726979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.184773320541931 0.0834748219905599 0.0859589847475265 0.0172211374221491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0864925181433263 0.038836606113751 0.0187217682580851 0.00375797484058766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.050329320305173 0.0229063140124893 0.00634701725400492 0.00132669357853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.668071821712278 0.274914423060073 1.1842081239946 0.169480793543351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.192832018662796 0.0776664022060637 0.0941936404639978 0.014812859957774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0912610639565516 0.0404610672462428 0.0209856388283185 0.00409258763440791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0542537707829824 0.026521682771727 0.00740618470472884 0.00178705182403282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.78961227435806 2.28083850856051 27.0922412148437 8.89109721149322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.30844905949344 0.773493100997919 4.80712686601789 1.28163147154419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.788460906937358 0.382344630386037 1.61285723832636 0.344316626739431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.520767754615598 0.239365808316898 0.691566283090623 0.139201869333646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.71422158319665 1.18643731704037 9.13539169668823 2.69714082345589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.550115907973099 0.255101536975461 0.771509158951681 0.157081287446229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.259380090802256 0.1168797058209 0.168971003535198 0.033754438926662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151047049847163 0.0687877727953172 0.0572347742596002 0.0119009053857484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.70334203287119 1.11733737260896 9.38274781817703 2.34528455672094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.565509800434391 0.244458351545362 0.833682133964602 0.137416987290126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.272229448536685 0.122291273679567 0.18968731412427 0.0360367362287588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.162181943108566 0.0796570028634511 0.0673938570574085 0.0156383906619449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.53309271168918 4.02914696307173 75.8007906189066 26.2181388258192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.03036204069097 1.43471690493336 12.6977230697556 4.07009882449196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.24613583451305 0.700418637268108 4.22830016145407 1.09364422434043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.849736544985614 0.415879247008396 1.87127433405109 0.409045524481771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.70608463808433 2.16527516030899 24.9395043083632 8.30158815441266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.897299924173717 0.44638468297321 2.09219869693495 0.469338203852162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.43189395011146 0.196168606516429 0.470413278535274 0.0943308827059975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.252028157053144 0.114927046152555 0.159731174483112 0.033042576062272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.66417332308469 2.07234439753851 25.4381205917816 7.45075937391459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.89925872379853 0.446667969353865 2.21237763785102 0.430928918395294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.447832563777054 0.207935009733178 0.523365585533164 0.0998220437781924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.268623443400594 0.133376861655021 0.18770993431753 0.0425217366948197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.874828504652133 0.475448034064341 2.14321595505319 0.502334530176742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.384564021327776 0.176335418170793 0.387456249323256 0.0774839741881158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.215929995438605 0.0976653002848296 0.121012373757255 0.0242026846831562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.140123172098023 0.0632110202060848 0.0507937258013898 0.0102064617478122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.531140022482191 0.251202991757243 0.752258243406236 0.150604141098968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.148647734302488 0.0669524007156789 0.0571083510113308 0.0114158132915328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0690373888883233 0.0311004664111413 0.0122746153224819 0.0024848983676749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0402655092136322 0.0183785739067828 0.00419823747199929 0.000879320982324305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.545034118805993 0.215803788024287 0.794523959372529 0.11022344694887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.155415773375428 0.0628163704715232 0.0626476771570187 0.00990603280427121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0729199287007531 0.0330441642636051 0.0137551978911633 0.00277144994303705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0437119190029536 0.0216510006172951 0.00491827923006665 0.00119769872697218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.58920855348528 1.10549371022071 8.02885843549678 2.38973812133485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.749425464450255 0.37023382211545 1.50205567253291 0.329724042032422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.430119384376783 0.196863807334101 0.483543797429298 0.0970140601936467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.279857549670521 0.126756520963275 0.203392072156186 0.0407214701297146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.99924952540626 0.560446469061854 2.83706082181048 0.692151157756064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.296737986640086 0.134541890708629 0.22864155668808 0.0456795826999963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.138060091817991 0.062258578689408 0.0491597703453443 0.00992636354417917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0805297394226999 0.0367661642818509 0.0167953612615212 0.0035121856858791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.00755140284455 0.508459764050381 2.93873792037092 0.567237174779955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.30914057720406 0.127024589450672 0.250196496811126 0.0395690180423227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.145630567358208 0.0661931208205481 0.0552059263795895 0.010963935489819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0872634245431523 0.0433080697067733 0.0197925408557528 0.00472564403991885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.97541645741054 2.48451216887591 31.6406643453372 10.8267773724548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.38124864773307 0.848594642745053 5.54625961337616 1.59100385443074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.835501726396638 0.416482033060804 1.86150846924274 0.422350641158413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.555323663790696 0.257458003935324 0.807015507917081 0.165727940915775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.81920551024247 1.30340555326228 10.6884982015544 3.32970916576046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.587914430759689 0.275222905876937 0.906765907063726 0.188419353607425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.275989853008136 0.124984082989582 0.197027527622023 0.0397766075698672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16114665955773 0.0736134753072737 0.0673528330794866 0.0140239574507787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.80490210843601 1.23049888723363 10.9439276706632 2.94219717458538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.602274926980342 0.268027375645951 0.974280713385352 0.168624224098038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.289400818970915 0.133461012680309 0.220800473751238 0.0432464084753418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.173939549390517 0.0867510328367974 0.079656104720525 0.0185107318612117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.64748555109733 8.17225566874385 291.376994588081 106.554887367281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.65767810541309 3.07104693300982 46.5463402493026 17.7976183649374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.17842667858338 1.55749728804161 14.7435897210504 5.13489538110853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.5078518184872 0.917424482327298 6.46932269710124 1.94003973030142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.07242718692543 4.56064058749061 96.6206140206805 35.519452609067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.60755954815322 0.998315366024386 7.45417462973173 2.28801996865003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.817756079744656 0.395789265197537 1.75703751618966 0.394159334530336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.485359759785335 0.224803285213455 0.615217586743895 0.128951612640215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.95165729224606 4.38915637399308 97.2896310751636 32.3982532596972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.56648034454977 1.03217271606004 7.80305658141915 2.14797131138035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.809345606212456 0.447318079435486 1.87719199743126 0.428364608676972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.502285074381566 0.27103120344895 0.703695959206857 0.162414437929816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.3685884211554 13.8892527825548 817.230213368887 300.638162840907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.92804603039766 5.34754979656234 128.120255931616 51.4261744420453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.43097159312116 2.79563907944112 39.4777989961074 15.4438744224219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.33722614266257 1.68777700799628 16.8889164819942 6.08485454117181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.45830279261824 7.95351851764881 278.274472083958 104.288666197167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.5383961460116 1.87342425623487 20.4453402730984 7.45332319961029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.32162069618418 0.735710687397623 4.78432437259481 1.3248532774039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.810357393509102 0.39416573553312 1.73813822909812 0.394189415231863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.18165777042557 7.6250469334757 275.084939268734 94.1262755475794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.45416615801018 1.90955236862263 21.1622214701796 6.74723361359101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25901800948445 0.837517992200536 5.01280573001618 1.35851841710672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.794298180287582 0.489708762708719 1.90800732100242 0.478188522902637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00148277450360532 0.00145557923714262 5.79344621318214E-06 1.17596240556614E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00050753901884143 0.000457512307174527 5.87915410229296E-07 1.08248961681128E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000321024064949191 0.000250750859752834 2.15998277612248E-07 2.88541942122907E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00027254279635158 0.000186085255164152 1.61575681886722E-07 1.41822637069426E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00213017673038286 0.00194648397010596 1.57151677963289E-05 1.7057467425178E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000901701117403665 0.000677099514284688 2.46182791613537E-06 1.94184748192564E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000729670642855489 0.000433648644957435 1.36667033192741E-06 6.8464107392869E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000721095229550971 0.000384376016050756 1.23096213879937E-06 4.89282348027746E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00120716331421765 0.00164105155639947 5.58342930637821E-06 8.44613424033427E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000414429345537909 0.000886212210626005 6.17088011784468E-07 2.41172854714852E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000317508072116696 0.000659638153321362 1.10153062776926E-06 1.49775491262382E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000600579489278396 0.00062976440275175 5.85284641212315E-06 1.78295234298965E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.245403426062897 0.245018102061753 0.19771307014335 0.11891026436315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.098871273130966 0.0989355038718968 0.0269866980367138 0.0230239411171091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0548681253016944 0.0549978184541483 0.0078820611589773 0.00741665093976479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.035422483457737 0.0355259432499245 0.00322066942179759 0.0031368363341406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.157311511647922 0.156051299378574 0.077641451732358 0.0534755806255913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0473130398815442 0.0471377339868153 0.00627861879708809 0.00577432654822336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0226049672949765 0.022578742407433 0.00139908383662256 0.0013767150617605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0133448944425226 0.0133233901345034 0.000485630718211627 0.000486755337857029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.131672567302946 0.113836630234936 0.0518023070685201 0.0274089291374567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0358932356052302 0.0371269213145368 0.00343980287978293 0.00348367963641475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0172148759054082 0.0219589917792647 0.000785385611474552 0.00127161750317089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0107019628062875 0.0156928794659794 0.000303541383353797 0.000658240600695285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.497187207455541 0.498366122664858 0.879019619711904 0.437200838415023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.197725569564507 0.197418825037073 0.115742153317768 0.0849389582093976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109736156151214 0.109779415129441 0.0328253815484093 0.0283460551972384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0708414310665259 0.0709959385119709 0.0132030809601844 0.0122136630333004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.316106227412519 0.31441499402495 0.343821973157294 0.193516218095286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0946372948596008 0.0939811395497595 0.0264476678454198 0.0216764113058497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0452493390572321 0.0450549891849931 0.00576142423980632 0.00531325138996704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0266656206854597 0.0266214224344399 0.00197749953149953 0.00190632432048904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.259152710290367 0.235685740420558 0.22234387835953 0.101029860365322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0718702245251499 0.0729748209770293 0.0145836285577674 0.0126655293913475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0346225384495118 0.0431276867255692 0.00333252989705902 0.00471668722738146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0213900913935889 0.0309550313678082 0.00127317353454845 0.00248364663452928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.0118780165407 1.01607029919328 3.81446806210971 1.67152447357803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.3967727021394 0.396703762309038 0.503784325427692 0.312224881380391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.219467234770679 0.219100400318632 0.13977505421277 0.105658972210552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.141708705163698 0.141689862455082 0.0551778105255161 0.0465293572046394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.641492528153558 0.639625987029037 1.51381399937583 0.724350388004119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.189115388082747 0.187902529276332 0.113858786623756 0.0800187778952545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0905744807485495 0.0898884040611486 0.0242028803246714 0.0200573291982606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0533816131502506 0.0531186659431143 0.00819514736113159 0.00731062789046115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.518217832473841 0.493702301262345 0.967103314746818 0.38659103271055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.143809240030611 0.143288613281835 0.0642094236964027 0.0433809696584568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0702031769684385 0.0830011294809743 0.0149884327649166 0.0161112946753814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0433475187840619 0.0597934587536073 0.00572813556191929 0.00870306502915653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.0927732416673 3.1078749685214 36.7692100816767 14.6253651891183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.20818335133297 1.21124138018366 5.06451955990224 2.59178853029025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.661993370696809 0.662304091058792 1.41266631667591 0.851487040334297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.425611179923494 0.425288581091948 0.550898510923792 0.375153145077817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.96838185312616 1.96746547102277 14.9785251585636 6.24386999929284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.571536265529312 0.570314362296638 1.17144438049767 0.647173267054478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.271571449180885 0.270217648774585 0.244696284532094 0.16086043803598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.160384127409945 0.159368726314508 0.0815249681885384 0.0593847424987176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58187150784602 1.55908987017354 9.6042302179887 3.41261905987469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.441722425350366 0.439333052479231 0.705527550724323 0.318474185723722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.221591075737324 0.235820813746901 0.1809129374976 0.100960647424823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.138915873488579 0.162772418993083 0.0728788800647822 0.051940409886909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.17819519024846 5.20340624334888 103.715261966207 40.4060859491273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.02582209542522 2.03203809237478 14.5038613151784 7.0708683426106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.10903468900422 1.1108622454681 4.09407754362053 2.29021882531828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.711479355354572 0.711778766531973 1.6053278835168 0.997689877103206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.30422180268009 3.30339025949832 42.6561253905653 17.2367502842041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.960691252185673 0.959844721748267 3.42903655996985 1.75210229780492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.454075412917875 0.453416390762125 0.723061312025634 0.42878148030974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.267685322179928 0.266740940077386 0.241031004881614 0.157337541936765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.65598884089692 2.63363618482232 27.4156723365858 9.47549234417558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.750836029828367 0.74796121036686 2.12097223136475 0.847525535473237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.384042329513379 0.396763829627295 0.577377922305076 0.250580134489649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.244904184186722 0.267588781784016 0.244337219386905 0.121477693088827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.809761338466698 0.811126620967827 2.45117761732526 1.11868723041949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.316460665677163 0.314890299232503 0.322304908654335 0.209419406076109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.174805882449689 0.173956393874649 0.089865199884915 0.070543133717291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.112726873304748 0.112447864976632 0.0356518586991556 0.03086042689184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.510099489642013 0.508988371459791 0.964345756858303 0.48806859335748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.150743935786692 0.149510308474258 0.07253836953431 0.0536446107855982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0721563021601668 0.0712694305013352 0.0155926573194088 0.0132505292426703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0424306467719853 0.0421220047335578 0.00527602007171702 0.00480005630491129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.41550972131896 0.392915214588404 0.624826022739858 0.26368720472137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114908754291843 0.116054493898195 0.0405890354179737 0.0302800737832946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0556603366638823 0.0677721820363281 0.00929556009107679 0.0113669903083225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0344286322413962 0.0485193725648065 0.00356751566946487 0.00599116563825788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.64537837962419 1.65084079839168 10.4021504990809 4.3664726178773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.638241572497291 0.637648315344793 1.39718512243106 0.786254443584832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.349965512418689 0.348797711849806 0.385862687881957 0.262416410243884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.225432433402262 0.224653754729913 0.150848915851459 0.116130954582038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.03858357703843 1.03894240628466 4.17284427232549 1.87762442798742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.301752657170474 0.300104491382393 0.314930588729264 0.199123561282528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.144059428844378 0.14251840519967 0.0660438412229237 0.0498410472677003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0848857075702841 0.0841398718875315 0.0220946574520292 0.0183279593736174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.841252082402296 0.819427702553038 2.70379725840673 1.03306912262593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.231304339897302 0.231201834815247 0.183037848098159 0.103561152033727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.113578917560303 0.128845402702561 0.043567223919151 0.0364314467872004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0705764100646979 0.0916566511256781 0.0169637795603898 0.0193621384607427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.32359221118233 3.33776239255417 43.0238623046999 17.2746319936376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.29022693282712 1.29212549102268 5.93443408407527 3.03294573800592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.704051381578503 0.70398099295688 1.65593619780537 0.990105572399165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.451507151477859 0.450842281989103 0.645296781371463 0.434773057657743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.10581748388238 2.11001625026082 17.5427951151931 7.38476612083856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.607837869234188 0.607249345068269 1.36728155145336 0.753809259138496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.288360602988975 0.286156052643512 0.285684328055317 0.186612225809259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.169691209505169 0.168666283782916 0.0945231219939205 0.069124793877569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.70532832124276 1.68513240475779 11.4164569932851 4.10918073180682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.473843133084362 0.47320510784588 0.832961879939156 0.374382825956232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.237174011976197 0.25190685488208 0.21331256463618 0.117002509824608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.149477664888613 0.172935389510177 0.0870612358726598 0.0587795645176361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.0474153035285 10.100645269411 396.688986194526 154.680000378362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.91026966857554 3.92325321565132 55.967460222529 26.5538735714965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.1341969137325 2.14034449893828 15.9698593353748 8.46845675465418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.36499402076761 1.36866941919008 6.31658257876709 3.63917980264725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.42075228925378 6.44081210732951 166.398926788096 66.7999659118312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.866191273534 1.87121375823018 13.7200402774308 6.6373850263908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.880125809216488 0.879716045820955 2.9527256883036 1.59746313194055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.51545224857395 0.516513992929734 0.986903235069539 0.583665928301493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.20798419618938 5.18964876543222 108.526311094272 37.2875257288388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.48561461171833 1.48303553088754 8.68443928329068 3.19359351476309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.777175245188758 0.786164079741598 2.50952402168604 0.899146208104595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.510154471569894 0.526686782811183 1.13496650717306 0.412215705994531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.7808216348241 16.8829297301267 1108.92608967776 430.381675930581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.51935079846518 6.54671758055442 156.152308751836 72.8871432341242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.55771406588731 3.57276619413941 44.7395359676743 23.0806173060485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.27531951165166 2.28556711098311 17.7929620605553 9.85267789415338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.8437758511547 10.883561101444 481.895028730476 192.050345968244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.17468829494201 3.18807454770574 40.8999571826122 19.2064222730513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.50039196848826 1.50490885442012 8.96802339376407 4.61002273928496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.877967159910096 0.885167661645581 3.02923073215307 1.67523530699715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.80510306422843 8.7827560087506 312.593083496969 105.883206756301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.52972737291782 2.52157289534493 25.5802237377782 8.96734991784644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.34631552235282 1.34729040665516 7.70324734076519 2.49821670075289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.899530644771357 0.908974405416526 3.61931990057405 1.13565422855883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00960564226807616 0.00660194427035226 0.000183603883205861 0.000177576466933651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00288039240023894 0.00199097550810135 1.66093149978639E-05 1.60349711132364E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00137934907557257 0.000965099564743803 3.83219612789114E-06 3.70368184765517E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000811412681821562 0.000584516263074405 1.33730991786799E-06 1.30673514049803E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0120934511462261 0.0071882133351272 0.000367903885291328 0.000204011448928993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00377403733234972 0.00219812770926709 3.62384409744105E-05 1.99481926770922E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0018366134185907 0.00112264170900725 8.5853656985008E-06 5.2066559201876E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00111872852357119 0.000788956863069398 3.18695791243527E-06 2.51220878229975E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00876187394477355 0.00648614483253687 0.000307469250471289 0.00011753768716881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00307336932668311 0.00322395216180597 3.20100268027777E-05 2.90978367556619E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00187336751523538 0.00221731834214018 1.09213001229317E-05 1.37554240143567E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00143849858924441 0.00176933324353682 6.18932002660145E-06 9.35741270405906E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.260850321151937 0.240199442053687 0.214413625451652 0.136037837000245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.108547553353714 0.0961539533848866 0.0330221194604825 0.0231765824532903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0609202528650961 0.0531072861721746 0.0100088972025019 0.0072129239560102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0395049843237761 0.0341533131070348 0.00413386936501852 0.0030101121913421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.171964361170975 0.149181396987472 0.0872018581479242 0.0551199664350915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0514598334556697 0.044202974480528 0.00725451698964476 0.00528557021210437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0246272844832607 0.0210635702712152 0.00162607522680981 0.00123237621787058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0144236565392643 0.0123665327651949 0.000554420715911673 0.000432716434509749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.145179023710189 0.108389386305259 0.06159556330506 0.0290475731301316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0399651694238176 0.0366727098825648 0.00437743524048444 0.00351913984949918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0197042380430388 0.0216841097750317 0.00106119516717941 0.00127516441466507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0124710116223195 0.01545377607462 0.00042424456775704 0.000658037583575047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.512849445872162 0.48425092972282 0.947967958897685 0.507730424212407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.215562735224621 0.193553689016215 0.140187495103462 0.088947521931936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.121445379315281 0.106541472497355 0.0415961219242263 0.0279645919723631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0788770443130959 0.0684098008494715 0.0169857375106773 0.0117587069533945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.338438705244644 0.301752258624857 0.378535621865364 0.209759955309424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102510266275625 0.0884093070371301 0.0303740886560201 0.0203610547200453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0491061073700564 0.0420684203817724 0.00669130932736147 0.00479873132404536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0287534292784702 0.0246855814729947 0.00226329670851651 0.00169336763867444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.284667687881118 0.22095961615416 0.254306931989362 0.112908024524758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0798009044095378 0.0730433539509025 0.017985011245716 0.0135215621788278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393507471123218 0.0431212377256065 0.00432618484327592 0.00493842525809169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0248450681228164 0.0307104046890851 0.00172196634315614 0.00255337551499132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.01543951816734 0.983337455735642 4.22239447104185 1.9139218948521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.425299833739706 0.391596083536963 0.607635902986747 0.339821730543723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.240991624301537 0.214830352679411 0.17623200640576 0.107715048500177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157039769185095 0.137489256603819 0.070831127217606 0.0455393067479803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.661985744281128 0.613742350165977 1.66258989884616 0.800157807222616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.203794566288283 0.177784957728048 0.129463161697738 0.0783416122218065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0980646733077423 0.0841921698413136 0.02790984697316 0.0185951918673721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0574574388761649 0.0493558795311747 0.00931490599311992 0.00661231264741144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.549107869571214 0.457315017324691 1.07002857526974 0.441985597071843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.159700193832046 0.145576139608704 0.0768852217426043 0.0510540517464645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0790940957730726 0.0856952503906308 0.0184584931534946 0.0187908322653012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0498806478096231 0.0610877584166424 0.00729189530511558 0.00979863473855422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.09664016973182 3.06872182715393 43.4027740016549 16.5805217195023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.24679079495017 1.20178279221191 6.29234034887451 2.85072915668729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.704894074552296 0.658977891653419 1.80035365844754 0.910786198939868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.46177040395729 0.420824672284751 0.709865954185401 0.387049426726915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.96241497109769 1.91038333376271 17.1829053274164 6.88989242533677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.596463312308746 0.546365349044506 1.32663188718375 0.671122351746886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.291199971429774 0.25575260458595 0.279109984037428 0.158885756339752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.171813077326474 0.148805418926096 0.090926825050677 0.0565012102734004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58526692782456 1.47764363572723 10.7655250480466 3.9340035661471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.476288611895681 0.435083946932023 0.820706869507247 0.406993020081415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.24330858872972 0.250146120370618 0.207377846330686 0.146190525802595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.154178353620239 0.178603323303666 0.0823184931517816 0.0768890912060992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.21072038094396 5.18711808521856 125.064104555616 45.7955634555399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.07580540393954 2.03013919062179 18.4422900748272 7.76027482790957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.16140109107899 1.10978357093944 5.3034957737672 2.45960736029857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.758939953975922 0.709304092107389 2.09063025014285 1.04664204570156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.29422480480249 3.24262633933652 50.1035481191626 19.0791758842752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.982928071167825 0.924422698432033 3.93673112906776 1.83582163995912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.480179753298185 0.432291801743366 0.826778165144318 0.435052614499941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.284818759053618 0.250358737907741 0.267616091114286 0.153900151238868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.65106970856594 2.54142815747952 31.436005173323 11.0008382657485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.788857434757324 0.733598291694517 2.48417302810239 1.08285303250903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.411374576235397 0.409854659232865 0.656952192976161 0.374799603276459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.263800578687462 0.290607511068357 0.267980142772201 0.194597717618751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.821467023173694 0.796048470092507 2.72201342569844 1.33215617913181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.343331612545399 0.317184094448415 0.390443631225275 0.234986308355249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.194031327778563 0.173723799746554 0.113760148307024 0.0737104282660241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.126313841632422 0.111140537935333 0.0460135608802865 0.0309366307757009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.540330506231352 0.49640400492936 1.08386066994393 0.552717848769325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.165679813498802 0.144134095618492 0.0848801543233412 0.0541755309852018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0794975511273166 0.068196576665134 0.0184753581809914 0.012730655287146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0465914948407083 0.0400328017568505 0.00620472903898554 0.00449370229431816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.446628319257078 0.368117998093774 0.684233658719254 0.300582523621825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.128890197073345 0.119020627347106 0.0497267446879876 0.0352894401958882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0641464984627278 0.0703044715927744 0.0121185904775776 0.0129055105676687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0405765139873498 0.0501345271509864 0.0047876889780247 0.00673061940222226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.65169990424012 1.63095606243924 12.0345321466255 5.14802677101012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.675488755667318 0.641729792070795 1.70785097315208 0.901216128899682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.382931264190815 0.351903175977061 0.488472177271377 0.285760426399576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.250234151377645 0.224530169004722 0.194246093615773 0.120325715815302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06284878716921 1.01079576620521 4.76413167791718 2.12858134627778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.327686774955023 0.291501119645413 0.366365423365841 0.210589422214365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.158415463488507 0.136956728767182 0.0780763248720865 0.0495127451714153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0930781123431593 0.0801690005842447 0.0258410812841236 0.0175219181839082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.860941728968155 0.768137933971119 2.91978453147596 1.18587347772917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.257790419560604 0.237059795772687 0.219014921862421 0.131634897211501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129753845805143 0.139013923800962 0.0542242348345281 0.0478681195188614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0821575403689829 0.0992152980156637 0.021320072299646 0.0251656423784597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.35335480266701 3.34289705861164 51.7638051438629 20.3131782528715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.33797337401915 1.30264803256184 7.45266992712501 3.47701441154984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.75281351710108 0.713253446311233 2.12383438937793 1.10486873941979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.492708565364649 0.455545014299377 0.836878278699591 0.467541297887458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.12915051639794 2.07204174951696 20.6942195044665 8.37379252601725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.643623199259936 0.593526485739721 1.59873560812472 0.823963455856884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.313748907555508 0.27735804884136 0.336666775059227 0.194165176326522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.185444360321945 0.161352628898669 0.109994760908447 0.0683917515521518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.70170682729601 1.61285637819655 12.5927337947757 4.74672209084368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.511914948705356 0.474347408544052 0.984277760897646 0.490427032160305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.264609393252356 0.272431591260883 0.255785229103481 0.173008701005584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.16872877704263 0.194009074943331 0.102212014180697 0.0905771304408723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.2487095734625 10.2761303921671 496.175205403373 182.536746861492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.03491497524854 4.01456267047925 73.5632898649997 30.3325421648427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.22499644454555 2.18707469453728 21.3012451914362 9.46463655174813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.43969434882357 1.39384935870986 8.44311470093145 3.98709255878844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.53216741761577 6.46342921939889 206.798161924265 77.172952700547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.91469699263136 1.85676454104991 16.8709094733962 7.51671995965122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.9257823852912 0.868051153526868 3.6046649769982 1.7781187435102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.550264439361933 0.502835012479752 1.17975872239607 0.622108922105795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.21515421493874 5.1437948589235 126.22426757107 44.026088608315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.53985922475884 1.49046439568208 10.7024479016733 4.24522566151379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.82128783176295 0.809824314528738 3.06968703332703 1.38787147591035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.539755758381729 0.558367266795389 1.32106801316606 0.692947600575348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.1861673885923 17.2496423510508 1405.27644836914 513.199219626235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.73410351307165 6.72683317427161 207.455850851199 82.7989642756941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.69531380140993 3.66501168140286 60.4020201810699 25.5454483560109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.37667295047782 2.33360991689676 24.0719852312314 10.6822284064564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.1319435117697 11.0498504872933 627.294226353 230.602229492843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.27596993791887 3.21801692665358 53.2783253139282 22.9949587371895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.57212098479222 1.51021639920819 11.6756921261317 5.47081503944644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.930553973560601 0.875097930945383 3.90746872021986 1.9041381501788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.9169032199983 8.85124186273523 378.452404519879 129.448291825197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.6300801368501 2.58381761555605 33.3228415122394 12.2707397568217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.41816976268889 1.40025699637331 10.0857720189662 3.99515744630161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.945231083949672 0.949913999137959 4.49520175970921 1.96458121200499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00292627568138733 0.00696363977031243 1.52913927583237E-05 0.000267157771149445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000921263357513755 0.00201056960664998 1.53248504468376E-06 2.22904477855467E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00051010575300986 0.000954847466029476 4.94631643900051E-07 5.00227454505793E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000384843503740207 0.000561349723207553 3.32631286565135E-07 1.70885320699444E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00237152363027789 0.0077565072646935 1.90916874370274E-05 0.000309086849161727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00107486392647424 0.00253286700297281 3.72012315083558E-06 3.32569565585615E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00095228234679137 0.00132707265593567 2.51956368054625E-06 8.71744492287238E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000982103625104611 0.000905252483406316 2.48594976234549E-06 3.79599386099271E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00195811701838605 0.004098099137146 1.14393364457316E-05 4.75308619020688E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000985383329445655 0.0013371235098733 3.07757756525044E-06 4.74903034834574E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000682826747107337 0.000785671391078764 1.60264862375462E-06 1.54940999023297E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000601390775556778 0.000649481533341708 1.4846358911008E-06 1.24510657703593E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.193849193007659 0.291578933547022 0.139597741764779 0.18646305827048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0672484375911127 0.130405904646945 0.0138664407196593 0.0412245959837885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0353239835915908 0.0746266872974735 0.00350329198093194 0.0139111904069216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0223459617379963 0.0486423767341983 0.00135349161716825 0.00597183181643807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.11065413175204 0.199030930398397 0.0429487889766344 0.0925561929743555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0295219946800033 0.0635718937129418 0.00259201888538469 0.0105603543035189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0138950393181062 0.030582610756796 0.000550637203723669 0.0025169070572602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00820049130007894 0.0179014437322897 0.000189457009196779 0.000873207414725219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0838208638056114 0.180453575130909 0.0247522939941384 0.0731382928699785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0230125210601659 0.0514154596464042 0.00150242484589434 0.00644995918678464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0129957506625026 0.0246788466151864 0.000484776179288191 0.00151238889067487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00902220824890847 0.0151952993071364 0.000235231915520864 0.000579295633478754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.432052350892331 0.543673687342532 0.757087319323735 0.584296130338882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147621074530902 0.247340175554593 0.0753552851255739 0.137969822496066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0745299795727239 0.145284844881716 0.0171052967519813 0.0503701326685585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0459496137277773 0.0959947590319763 0.00606576129320396 0.0225824969538147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.249300688250843 0.368885699615604 0.24340764100865 0.28895899057397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0620077150313681 0.123979069880742 0.0125503046243806 0.0381392206353639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0281599506377574 0.060677921149124 0.00236118121628863 0.00961842140804119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0163999159786972 0.0356760800494683 0.000779939518827109 0.00339102738685969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.196797005354691 0.330131414813541 0.155392573204615 0.222081845559827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0475702471949458 0.100872401326665 0.00676928033114018 0.0241134394821439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0261110824562647 0.049085413742339 0.00198526205461612 0.00592163442563054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0180265309358208 0.0302962514340094 0.00094605288803628 0.00229511741252984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.935903442167178 1.04557271491353 3.72229490807968 1.97426492040106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.33040947935134 0.459651278157369 0.416431167350716 0.438038696716576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.164433895103429 0.274936699342137 0.0935243583826851 0.168501215459717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.098545188346128 0.18525069823418 0.0309151537730534 0.0799719586869699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.555230794169174 0.688642427674231 1.29060879535813 0.920269825829783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136364662199274 0.235273156468392 0.068223712515547 0.127925252444504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0589827302741498 0.118622977836338 0.0113097575658768 0.0351059477694913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0334328728973193 0.0706720412943001 0.00342276208003079 0.0129104246018016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.45641691364925 0.603452080791579 0.898628906357723 0.668438412780533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.103504466644954 0.191061967536982 0.0356597867172621 0.0809799359882814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0533512073197293 0.095933217539621 0.00863965454087642 0.0218375344840657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0362290984893029 0.059906593468159 0.00391256933943845 0.00878942571434478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.00263813586374 3.09707759769981 39.4173215777667 15.759310483227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12908220266452 1.26737694024691 5.25935564296215 2.96988469574979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.583909144137313 0.736267062040007 1.3384635658889 1.07157414045026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.351902641362247 0.498880893620637 0.462789207873586 0.516748273696397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.84221483749881 1.97876853639429 14.8453772934932 6.84819928206002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.486264940470539 0.63058345099016 0.985731577195835 0.817961498633492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.207040763176461 0.325745349249821 0.165942616485351 0.237471487980626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.112115828326189 0.200505266455229 0.0453895426054383 0.0951328704804774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.56919762839911 1.70260550260602 11.0815829584389 4.68369435563346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.376352880809574 0.49767697293349 0.562538732630303 0.464236095556611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.178306488625761 0.255809985494922 0.113882096954717 0.133908206069544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.113281099197842 0.163939053371867 0.0434041014925132 0.0583453789870151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.08052003266433 5.16306222517872 113.416129775295 42.7518304670472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.9462194589006 2.07867811317318 15.869531879097 7.68805890194948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.02680916700522 1.18226012006896 4.26023540049824 2.63963939409536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.629245529858992 0.790201535550524 1.54481955209656 1.23221461307494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.14726406050009 3.28799796478345 43.6968351077122 18.3716800855188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.860685945728596 1.01225870642043 3.18400050595298 2.02469039929674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.374385635433663 0.51571417337672 0.57448294096861 0.566391491523773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.202869995242509 0.319245199774488 0.160487580601464 0.228894097737887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.70166429601679 2.82550267522608 33.0858087551587 12.4010276540709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.676636041006066 0.796304806171789 1.89774886141646 1.09499057598119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.320322740273694 0.401394264865566 0.397990216219722 0.296743403502803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.198370560388113 0.255395972100177 0.14645202330355 0.127143351829657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.741829894253491 0.857609943058611 2.36559088269878 1.38221195719688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.258313520688172 0.378909780523473 0.255959662757474 0.311962375646982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.12911756829585 0.225055152943027 0.0578019168367777 0.11804526245072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0779678077705601 0.150607640814757 0.0194002482380491 0.0550847692409948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.440885356500878 0.566196752684608 0.826980432620204 0.650479764410302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107515312494119 0.192314440752901 0.042497436397575 0.089290220839237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0469169278701705 0.0960090979019951 0.00721103263399151 0.0238711803818131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0267361311351777 0.0569625677688322 0.0022137336388654 0.00868249870410268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.358252235473197 0.506510469432486 0.560730222547321 0.498879394859394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0823511412221769 0.158526404578348 0.0225106879371522 0.0583191544625351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433277245944958 0.0788295231051478 0.00570060886964409 0.0152857845859377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0296393060507652 0.0488609739586016 0.00261584284925425 0.00601412912795405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.57305382954228 1.68918689005686 10.9001925403342 4.97849582250774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.570144788662509 0.709408031084683 1.33262931629259 1.01198710896626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.287813438934893 0.420019287910816 0.317596035331695 0.381739703933732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171931213734938 0.284938536252114 0.105853304213843 0.184668084701057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.958392594932675 1.08391312422693 4.05552220449089 2.20815048924583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.240296885736694 0.358926107872204 0.234606881893062 0.288525782424721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101628075146008 0.184169776193856 0.0379201769499898 0.0826560151940745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0559926537532333 0.111472089629931 0.010581387314082 0.0318226496895251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.802734140000759 0.952341005964166 2.92065641144296 1.6185584165878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.184255774178362 0.291499870106622 0.127747347954815 0.180331562429865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0906194377301113 0.149748480868516 0.0271099847790592 0.0518284619903813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.060056240951815 0.0948587649741271 0.0112849939745043 0.0217323338144768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.25288301916559 3.37372477997875 47.1222813126589 18.9184470674052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.22086878655727 1.36508889996018 6.321111420183 3.51496397140954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.633289256597774 0.786186217924474 1.6327532240599 1.24807557115054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.382902884744324 0.530447436338588 0.571608288871178 0.596086428684935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.01838557406059 2.13676202367649 18.2939806528812 8.11477789287502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.532222707938764 0.670219660078637 1.22440006557894 0.942124817896902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.226675746374908 0.345198670961932 0.208859482018547 0.270960244948766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122465619290054 0.212896986217447 0.0567517093442096 0.109029002722999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.71972000695185 1.8645655282438 13.5929565712721 5.79410469073114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.415291940173318 0.535584964530484 0.710604424675627 0.546083426453017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.196954540326695 0.274190394737773 0.144178243443722 0.155712925732228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.124373448301258 0.175590068144711 0.0537459532172724 0.0678978187575518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.99779821580465 10.1547252233716 448.337886460064 165.230840924847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.85998916418928 4.01304482555156 64.4859231998804 28.4441853096855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.07166516039358 2.23320010370806 18.1627746195281 9.28069589459295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.2923943669996 1.46109907324744 6.91994770792768 4.12663089869811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.33591262042151 6.43883412597949 183.134959855647 70.9789903424058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.78219794163719 1.91859764470342 14.4315050598867 7.28469422403533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.798018626291923 0.947668190989896 2.8484841851867 1.89168490636795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.440083037873542 0.580279415064398 0.842954601727494 0.739543102008983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.45620942489683 5.60704771681364 138.055763898913 49.0924926067786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.422254436117 1.53860091544225 8.84683106587155 3.8611247354338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.688244149003175 0.76164251478692 2.00615973956433 0.962807416132238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.426423723160935 0.476907731729288 0.75390844554141 0.389990135282273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.7562121654198 16.9628072194509 1261.78386431634 458.252533064796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.48650392783391 6.65419043154613 182.218238880348 76.555169884904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.50737263865707 3.674684764657 52.2243184944036 24.4015574016801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.20874450812031 2.381259226449 20.3559673876171 10.5846094623748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.8063923888649 10.8913411871955 541.239763163866 206.864787679261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.11012620346767 3.23917119897494 45.236128350422 21.0741868913095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.42397549152056 1.57569508986332 9.46216990883157 5.28312804001143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.799030904832104 0.9509965735265 2.94375742206908 1.98937164582732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.31778334168465 9.47768840228649 404.531446075455 138.168269691749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.47536719728947 2.58906857460972 27.1557268750267 10.4130505824095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.22199794257986 1.28563168443081 6.50534196756223 2.50943440379975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.768369334364822 0.807929737747041 2.55788952678916 0.988739296911583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0180912955988638 0.0188780246971292 0.000676616263380574 0.00192184411977693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00534791760967891 0.00556632787783405 5.74856168714034E-05 0.000162833262823705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00257788641885152 0.00268345351624351 1.3217641281788E-05 3.69093886800677E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00158832639136726 0.00164370777303985 5.27973029224296E-06 1.30408623819939E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0234145232963435 0.0262891979524693 0.0016203015313241 0.00297239806807808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00734345138940305 0.00828508142923909 0.000165828672143146 0.000301363937188777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00369778079338099 0.00420196415194938 4.09968790380684E-05 7.63877102496034E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00253349849711437 0.00284557172049476 1.98053626445288E-05 3.29223113912939E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0154556458315416 0.0157370897762665 0.000789592195707466 0.00064517879260832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00654336761562525 0.00568937850254809 0.000131575944459968 7.82462592803134E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00438846257401241 0.0036354908238897 5.67800642787035E-05 3.5393917271514E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00383929819372453 0.00321209522297739 4.75236365770188E-05 4.35712236709355E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.249920050870526 0.254670417405538 0.15641518897744 0.17185818939305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.100714216477494 0.103252344718606 0.024875929233049 0.0276955111251805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0558079002708943 0.0573421354379152 0.00759970123720444 0.00845199379660767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0360429761786008 0.0370494001610225 0.00316981462445177 0.00350201275329485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.160137451228464 0.16581807622072 0.0658568305650337 0.0750336962755754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0481031252015569 0.0501679504574293 0.00595894659087871 0.00696348133474911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.023001962661906 0.0239471448855644 0.00135893725936704 0.00160013124900859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0137472908475706 0.014197643671297 0.00049439630063236 0.000564689439476309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.122580723160988 0.131242315097607 0.0397979954984347 0.0422634165226782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0352170707528613 0.0364177618264211 0.00324226110810509 0.00324801475505316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0185029140565082 0.0179991065327702 0.000906093063759671 0.000806772918334043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0124819523604014 0.0117167382795359 0.000408949946343152 0.0003714636372667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.497965881688825 0.507762645268522 0.648505473221287 0.653036906826856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.201078591891868 0.206211072672785 0.101428510612536 0.107954150647519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111479864659059 0.1145782787452 0.0308462488528509 0.0331613875510931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.072009742256413 0.0740407521436119 0.0128299021421473 0.0137890062006885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.316845161883921 0.326973024536861 0.265007934077683 0.280702586499263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0951314092270091 0.0989341916703409 0.0236819456851133 0.0262647417687414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0454436237831086 0.0471662050866352 0.00538376164526759 0.00602161699785021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0270750588970186 0.0278645130248714 0.00194295510744884 0.00211259308681019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.243540664489892 0.260732183985716 0.157734786163476 0.166475612145054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0694931265512134 0.0721211719758474 0.0125616940233185 0.0128170173857951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0361531149838038 0.0354208837307035 0.00344880697419808 0.00313033828692038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.023849599681714 0.0225756458056559 0.00149648086716239 0.00133306412916382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.993625497417067 1.01255385831895 2.71619475739316 2.44948294169239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.401995045672367 0.412226354021062 0.413035392525731 0.423183704950223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.222891577124758 0.229099880277855 0.124774266679041 0.130998063761917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.143980193347332 0.148050670601179 0.0517435542874298 0.0546472066523472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.632120799792956 0.650561893799572 1.09107077167602 1.06789288966277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.189750255274393 0.197087967896056 0.0955729469719534 0.102211953295552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0906194075090315 0.0939579883730252 0.0216401292761266 0.0234941326269519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0539431697541113 0.0554514310212454 0.00778353256932691 0.00823996630855562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.486301869795604 0.520106685274114 0.641857130277755 0.649439184559445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138529867648733 0.143899539599106 0.0502081231678854 0.0508213787304805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0718538333616383 0.0705706361176676 0.0137034359647592 0.0123629706861594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0470677609141458 0.0446973799080952 0.0058957271022001 0.00513009809443507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.98966280134685 3.01802961740409 28.3842995443332 18.1567691773461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.20549639038344 1.23417521236357 3.8877717245679 3.60479324687035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.668610096142239 0.68689913897979 1.14800557410472 1.15092304138759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.431868353923672 0.443995635027565 0.471966757509899 0.484682517743057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.89368641402834 1.93126796123435 10.908685158521 8.31028962391381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.569481526286168 0.590141845663663 0.889828483917107 0.886183831081235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.271833381442839 0.281680925198192 0.198392011182149 0.207008110590337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16174335392743 0.166190826824601 0.0708200233767847 0.0729341703025016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.45808177569433 1.54162208119615 6.35337737389113 5.10509253522964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.415704106341329 0.432038906041622 0.469477209486691 0.442360128938752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.215177305020681 0.212043940387452 0.127229489269192 0.108086072635255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.140602172195968 0.13402014667287 0.054547388560755 0.0444516116254909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.04624418971934 5.07423308548558 86.4569654740447 46.64347708131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.00877038325146 2.04838951825619 11.2628760463481 9.44348391542167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.11415242470771 1.14344822360109 3.24654864571552 3.12514645922115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.719586296076167 0.739566005034961 1.32377006837677 1.33040411916048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.17684887610256 3.21516563829288 33.0882353683704 21.0592974718868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.950654427711096 0.982956137428796 2.55244553480389 2.39236169365442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.453723033980976 0.469966537352938 0.561108545655156 0.569162949678004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269846021203157 0.277329934182786 0.198793217975213 0.201654477227742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.45422395119681 2.55946545502099 19.4382298004991 12.688509283654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.694535282762458 0.721724398462916 1.36019459734753 1.19016668825534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.35894829794565 0.355097175287647 0.366683383642486 0.293688146465486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.234337672587564 0.22443996964598 0.156726565142706 0.120925431851314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.797384894915641 0.814616341620789 1.78914887622359 1.67411544638545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.319833476612531 0.327928545020431 0.273211165916119 0.28149050991784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.176758765686755 0.181751607819593 0.0824424896657604 0.0867850746002413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113985854639272 0.117231897092463 0.0341430422352777 0.0360904966457827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.506238379245987 0.525001335365519 0.720180215483362 0.725514188238138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151432371427735 0.157013404728122 0.0633720751012564 0.0677764383814874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0722900594394644 0.0751014889478802 0.0144207560071332 0.0156796317532197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0430873376665894 0.0443533675327948 0.0051936838468899 0.00550139228998437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.390717378604505 0.419613084897978 0.422981852561104 0.440817454868921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.11188822957862 0.114429662875531 0.0336977942709653 0.0331840241120839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0580626824727241 0.0565527268012022 0.0091448082839771 0.00819182300504617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0383707572743937 0.0360508817047188 0.00399893318851375 0.00343504362664263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.58964145516037 1.61816201580293 7.64503812843496 6.0617964322623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.639408009920307 0.655393076445441 1.11495478376033 1.09946036570221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.353483564333832 0.363370219877297 0.333464307177687 0.34287354879735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.227943327627578 0.234403044237774 0.137575991967072 0.143188238955349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01084636127721 1.04575552788147 3.00308147408908 2.72994389055738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.302426474947411 0.31372344645841 0.256556031432484 0.265948603394843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.144389352043052 0.150011088968886 0.0580826893722598 0.0618015297139901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0860272274503972 0.0885505079614133 0.0208465382390352 0.021714803160465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.781009386755978 0.83504719088419 1.75607127080356 1.6768801838814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.223365991715315 0.228840630849993 0.136296598595342 0.131118539640184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.115838917930672 0.113046589211933 0.0368645907733945 0.0323610787786941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.076337479622686 0.071854706040252 0.01608261354705 0.0134203662995359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.20208578954068 3.23618514470315 34.2281325950489 21.3918085445295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.27802300985912 1.30719853167955 4.61347618741233 4.19640056039602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.706825546390798 0.726247571477809 1.35468955165004 1.3462785333427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.455825012662517 0.468608915624823 0.555306871288682 0.566662262324688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.02445841113038 2.07309185355594 13.057458691523 9.81810365661556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.604678031335765 0.627518287629873 1.05009149518247 1.03934340084819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.288865327989203 0.300101211024537 0.235328680467693 0.244315903571896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.172057340694907 0.177128585566224 0.083989831743097 0.086147561637245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.56563330543569 1.65040262871367 7.63589343526226 5.96338052672311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.446782860610754 0.458743266557488 0.562982928657766 0.51163567557783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.231509546020482 0.226926160476084 0.151549875580752 0.127095431684318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.152446454778405 0.144075776073158 0.0659747230412173 0.0526254295812224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.97140870019726 9.99942177599354 367.849543222884 171.708687814249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.84682051427345 3.89027795740241 46.7281069237079 32.5639567341104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.11823130161302 2.16250612745023 12.8943795370096 11.1415269225558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.36507271534562 1.40009806250792 5.13658060841323 4.87463688676889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.2597903064001 6.31893257177806 143.461999636941 76.8060199761343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.82709483112741 1.88304911888175 10.5145340676303 8.66719603907742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.873425470919145 0.904830433575883 2.25888744518149 2.14556296795089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.519397452086322 0.535132190224457 0.787323427571111 0.771834075578451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.92516727651843 5.02796378012631 87.7995083870193 43.9225007129626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.3566543594637 1.39588199095725 5.78804956194337 4.22550246980741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.699934672832203 0.698700144157438 1.54296232057366 1.10099306036327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.459867026127813 0.443774318777142 0.666834914915313 0.461324627107525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.8717416894757 16.8964956928236 1077.61056448206 467.395278287774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.46062701940258 6.50292810608883 138.48893206642 84.6980997279029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.52673357770948 3.57754899276567 37.4945906845559 28.7565748840406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.26787994762503 2.31560581647719 14.6072878813812 12.8279124603265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.7286706996641 10.8009499718586 441.576853049604 214.427734373759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.10088877381305 3.1738728774189 32.9724292142045 23.6603110341017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.4803113642873 1.52607695563331 6.93155532172958 5.97463189139863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.878624407713988 0.904755510537193 2.36481629209679 2.18813600161297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.5209485724411 8.632562061401 274.675196691147 118.692368431211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.31688774674938 2.37487488740635 18.1999516573063 11.1970582972953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.19209396385196 1.20209088421076 4.86611519645553 3.067873471767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.781238269699243 0.767617105139775 2.10993899895857 1.3224032333438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00820551301223009 0.00916256070411597 0.000141501520178712 0.000403265715541454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00245736969194832 0.00274606335270193 1.25210045256318E-05 3.51204124279865E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00119370832143903 0.00132655856039651 2.96221130874411E-06 8.01466777120014E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000738282710597233 0.000807848600352009 1.17698614806991E-06 2.86242999201157E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0108914745112685 0.0118308630996575 0.000329371349760422 0.000570884556754031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00343764039976433 0.0036663018874508 3.33487620436915E-05 5.60624578682399E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00177107997048112 0.00181059647859505 8.74530181345118E-06 1.37225484765696E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00124215212031749 0.00119218595775024 4.25806134750655E-06 5.96607814724717E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00718609341433104 0.0100750385253372 0.000199810261139129 0.000276763254322621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00238331935432634 0.0053143120250064 1.9626511075443E-05 7.67676009822571E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00143148648886769 0.00370308652642199 6.69032460253302E-06 3.7733623368681E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00133543711479785 0.00303980237822551 9.7941671536851E-06 2.79916064916166E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.214886395372293 0.267306322209383 0.136715064539267 0.177186295965843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0862932905128575 0.109287921702798 0.0203942312125565 0.0306921691515853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0479247957329432 0.0605344733462452 0.00615342320528614 0.00947732546128184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.030947887922782 0.0390132421892338 0.00254319361893568 0.00393892463167163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.137747198652863 0.169667035495229 0.0544429894270167 0.074945593178922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.041079530602309 0.0512486526278052 0.00462507939591755 0.00724785021657947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0195875599996699 0.0244260276549475 0.00104337119951482 0.00166778625483525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0115330173109106 0.014360341975527 0.000361191652372704 0.000580271320738928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.115383251955191 0.123277711643568 0.0377522610422234 0.0388373547888802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0308721237260046 0.0418083973311602 0.00258837697902287 0.00462327176926229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148323973258576 0.0247005657128392 0.000592146582667926 0.0016598630016452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00924277335420522 0.0175789620144587 0.000232211550272402 0.000857321157209604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.438872567196548 0.521777399526713 0.629292244998715 0.624359562458755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.173546426909222 0.217356869881019 0.0862683475967607 0.117322749521818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0960012341610569 0.120838315764515 0.0253334059499478 0.037028592312356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0619293965213481 0.0779500902113794 0.0103594867686038 0.0155175189308041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.278230190772826 0.334386739512138 0.240523727779623 0.274123992307344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0820575230342327 0.102035017332789 0.0191084478643944 0.0279812483299712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0390343692518328 0.048701277196822 0.00423846408023995 0.00651409803680023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0229393733264248 0.0286288938098143 0.00145718384307808 0.00227144393821435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.231329809102004 0.244453104943328 0.158081043410685 0.14633849882668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0617372540821046 0.0829122922710937 0.0104894699779054 0.0179331216985869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0295923223112909 0.0489238306659013 0.00238074456092117 0.00645216281321975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0182885482415845 0.0346684986252089 0.000916474038043551 0.00329800509962213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.90539547430341 1.0072987257914 3.00577054624357 2.11207330725924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.352945304450245 0.428181327849724 0.383168463115508 0.431074296361281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.193272171222061 0.240317145018413 0.107090982934686 0.141823729051476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.124211608993633 0.155512664468083 0.0428214012884962 0.0604946076043011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.568463135092554 0.651928385148677 1.11579534487548 0.961581589812414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.165253447298553 0.202622431859754 0.08156006653138 0.10641618535502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0781673751713814 0.0971492358081903 0.0174767885713537 0.0253922019738625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0458520218787098 0.0571880800594593 0.00593378684524872 0.00893376064421988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.464859323619552 0.482022490847376 0.692880233089734 0.526095339617835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.124527276214814 0.164321644131893 0.0443333574200419 0.068355546241631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0595294051238517 0.0971976750484522 0.00994081765437816 0.0249591854345771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0366450855218017 0.068914864275689 0.00378842737416506 0.0128023396749598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.88164000378576 2.97837689435749 34.3607262206177 15.8796134548126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.10862618856745 1.22432330763621 4.41257249294368 3.12217263978959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.599619143199845 0.698946998196841 1.16524252782683 1.09295542091425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.380509217429625 0.458093930224613 0.439983965108377 0.489822818223736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.78529559964192 1.88820634414361 12.9242559046162 6.98376625980457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.511241392754203 0.590965563881604 0.890255575008529 0.827654355027428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.238200569224001 0.287801686979409 0.176698519075368 0.210405236556725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138579480458784 0.17063971300354 0.0572315078817157 0.0765013673971366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.41599934188158 1.43276093459167 7.7012034285039 3.84229333699244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.391027304167864 0.47150706969185 0.501565242410909 0.509269203031165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.187420169896377 0.281434784370634 0.112987545497306 0.193781085523708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.114533457955046 0.201510299789687 0.0420894212508527 0.10240602426552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.91010712624815 4.99936746323923 102.232732584321 42.4990098805947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.88907169605472 2.00700680413693 13.6246126156489 7.9143668305193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.02106039856949 1.13827343153042 3.62307766118539 2.74589348652658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.646618708375518 0.749216753991258 1.35400070047388 1.24814046259735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.0471943416779 3.15424904124519 39.2817660541664 18.3898438208815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.869794962548023 0.966125523643676 2.7760689181826 2.10117251823592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.403532295123636 0.473969439554075 0.539514482494539 0.548043147100302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.233386458362857 0.282529812315558 0.170085099819188 0.203260111012858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.4085037500403 2.42541952200198 23.5459690567427 10.121354344732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.671596982212628 0.759874708437723 1.61682307982379 1.23615136961792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.327736537451341 0.451020998064032 0.381652761050918 0.471403389991836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.200675336155801 0.325308785992747 0.143670081514881 0.25305979038235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.72993925440546 0.825838010780548 1.92475682029099 1.49390561948606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.283882075957018 0.348137603517815 0.247124061369927 0.296305855313426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155686799383894 0.194739356239144 0.0698749867270738 0.0961846867827755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100136519484421 0.125803091681121 0.0281357267384663 0.0407747880572682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.461052362723488 0.53377254320533 0.721387472780975 0.670683394452657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.133283275764293 0.164258419423992 0.053065597828782 0.0720745799595819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0631975855449083 0.0787585095288478 0.011525725717492 0.0171121086599313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0371680346683776 0.0464620312943729 0.00394908591380941 0.00604243852614527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.376595489015464 0.394972485188013 0.445981939214146 0.367419199806674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10027951954082 0.134597114361328 0.028860605197633 0.0471806842198155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0480325221358021 0.0796263744301257 0.00653945482078931 0.0171353394253439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0295837009686499 0.056699602017096 0.00248616887920592 0.00882167268918679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.51292629175543 1.61440022980499 9.13090467019473 5.17756039817849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.582870528422756 0.678052782812063 1.14159628527839 1.05133155858674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.316030166241314 0.384505336099584 0.306781855404466 0.358064662194754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.201801476841564 0.249986826647029 0.11930070579096 0.155948186786642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.947483371207708 1.03479770599363 3.40861167816921 2.30933276777379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.270459092409671 0.324338340973391 0.234426490636762 0.268346961948354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127158442603763 0.156740795388722 0.0486176348925043 0.0659315949169721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0744978390510005 0.0927356740173021 0.0162772075577789 0.0236517197651351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.757909619189102 0.776686649991833 2.01421010675182 1.28205638108465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.204665247698787 0.264155732217111 0.128714005275235 0.172904665271562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0976676948951258 0.157361115368109 0.0286793081044961 0.0646870161384238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0598744496681855 0.112489873539382 0.0107500864285442 0.0337484382737076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.13840366748261 3.23653315722838 41.6075546675167 19.0522352130443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.2012736208724 1.31399243561677 5.35233363201402 3.65807428874469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.64904656267629 0.749210598260596 1.41337288326274 1.27542661117728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.411259582599397 0.491640301879005 0.531777602899823 0.573123104783286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.96007325349348 2.04141152601281 15.8875478885758 8.24494296560121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.554098698205363 0.634456080064738 1.08134371060563 0.966302403258528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.258074166446081 0.310020554992676 0.214271808587952 0.247451526801328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150197499133262 0.184510316746636 0.0693106933639527 0.0909321747223409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.54300806418788 1.5586480783387 9.27704643580834 4.57201591214625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.425087190497228 0.507665953002025 0.617525260256927 0.592667543790851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.204141067318922 0.304907930476267 0.139547388305057 0.228857593262526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.124607352485035 0.219866762785002 0.0517810338986453 0.122420949406048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.78980673951906 9.87677334355889 419.318399149227 162.831899100261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.76258754307851 3.87578133944926 57.989032901849 28.4099705931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.03137465318904 2.15265615002219 15.8430101733752 9.42433718630565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.28691409729937 1.40675110871159 5.98508922443309 4.22534878911081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.19368104921331 6.23517431647453 169.325981999217 70.2943929495229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.74951708399514 1.85166265984996 12.6304221481231 7.51318769054457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.81180460439882 0.905956980354754 2.49316091856287 1.95015298206797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.468543288974095 0.544312500543735 0.777851457701404 0.737970510161852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.86500080269038 4.88400135397933 100.152638806778 38.8016193616757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.37694473795085 1.44697871563388 7.74793736912977 4.11649028731504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.694262000394735 0.830346531907211 1.99868088837075 1.50576732201235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.434051144018205 0.599753616205143 0.798963802581682 0.813836380424615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.4939367002351 16.5635534570349 1199.20492061034 449.22134486191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.35100294647639 6.45704894307245 168.280976757962 75.6160457345233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.43142863113663 3.55022672227101 46.8543902504184 24.3709735695793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.17419625130455 2.29726795822971 17.9577933863042 10.6960622136946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.5970718176124 10.6106687239325 508.159881772213 204.279918180066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.03140104628349 3.13460637112687 40.5555181084826 21.4248471732502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.40964681119736 1.51730947337124 8.30024121490738 5.43208123730997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.813321362806103 0.910126020610186 2.61419470033267 2.03660376288832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.3485310723065 8.38272876951442 301.147511076729 110.883048277193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.40096076257823 2.44707505895124 24.9833121489188 10.988426192984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.24215398391171 1.36072519932559 6.97476253224588 3.83866412845389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.797267100566242 0.960521623332245 2.98856933957699 2.02339335228527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0121305168410168 0.0139106549425667 0.000293796452526124 0.00103513472854494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0035523094486819 0.00406115090235799 2.49878738829932E-05 8.69839049763618E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00170142635846365 0.00194736084021229 5.71786811885993E-06 1.96837115996526E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00101821796554299 0.00118258991905989 2.09117058166709E-06 7.05225890087602E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0142712718895367 0.0162158007084967 0.000646062451956963 0.00115820372032649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00446836828899769 0.00509152263592218 6.84991775147748E-05 0.000114869211098648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00223815812066433 0.00253312536478838 1.70285875993083E-05 2.81590483412298E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00146788268806425 0.00169874904823877 7.08278353647962E-06 1.25017651216038E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00851490628264341 0.0130785144792238 0.000262813986396806 0.000472103834563264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00302917826265581 0.00690541797010484 3.07538540957206E-05 0.000129959822572595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00193166546582435 0.00483890109217865 1.26704993199095E-05 6.53500310791491E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00178715650803849 0.00406943653452796 1.56179586625513E-05 5.27808959359234E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.231028414315793 0.252028883558518 0.142925701104489 0.16687066357057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.092846949926042 0.102095604516529 0.0221780414430952 0.0274622801773724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0514172481212641 0.0566181729681733 0.00673946490636975 0.00840557637266439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0331400897060028 0.0365776108395511 0.00279034098607074 0.00349372504000965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.147105617678954 0.162405487725744 0.0581034212439865 0.0710616245274452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0441738922401613 0.0488061382114614 0.00521671880905721 0.00663970047145125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0211147158179793 0.0233364527516408 0.00118993538892305 0.00153116295894337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0124005371846248 0.013859841513416 0.000411639744959224 0.000546652101258978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.128768340206443 0.118252901059484 0.0444768181343197 0.0359775320743045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0343174151829809 0.0386525966238307 0.00307046950661371 0.003963240729265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0164631608847567 0.0223444349362084 0.000706435946468121 0.00137149633813956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0103558104786328 0.0159394332125936 0.000280907151927288 0.000719164525285823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.462469360238717 0.500040571732042 0.612161127829878 0.615157340470501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.185706843444467 0.203796138593214 0.0911999134529086 0.106525088246858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102808891599867 0.113107116291637 0.027431044688285 0.0329555412389468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0662616760061808 0.0730910145554435 0.0113091688946764 0.0137584701538614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.292874024456363 0.322300054381482 0.241448565814413 0.267482707617546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0878393055277335 0.096969138382567 0.0211114038244145 0.0255998378204155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0419641735949629 0.046345028305916 0.00479408412845486 0.00591717058932771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0246265766902815 0.0274812567649408 0.0016534942137572 0.00210727591566706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.256601386342763 0.235341604427655 0.180498648601724 0.138417461113174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0683627220093028 0.0762152459697847 0.012186184189471 0.015359741438553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0326987139828716 0.0437635045061358 0.00278312202849572 0.00526267143693896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0202996539886481 0.0309113861116436 0.00107922134151948 0.00268157475230055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.929966642715027 0.985242419872927 2.72252753818038 2.16274568369349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.372231927412979 0.406291293897229 0.379768681881415 0.409123047073881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.205763568310795 0.225958297381935 0.112049104868943 0.1290794226023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.132559061860442 0.14609131101714 0.0458593511857556 0.0542689414686277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.586994160187578 0.638781357306364 1.03775068787715 0.984848367391488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.175424842482695 0.193559140265684 0.0862710394613075 0.0997352013235854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0837871149005752 0.0925133147769433 0.0194227633559332 0.0232278270110472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0491642961966671 0.0548221004943104 0.0066801480742766 0.00828063710110418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.510163452604904 0.470370899650997 0.749776696665133 0.520625979933188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.136471074416394 0.151741538652984 0.0490366519911236 0.0602045748249057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0652405330775074 0.0870264449272335 0.0111368634654475 0.0207086794430253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0403571446440871 0.0613090794023815 0.0042987647607559 0.0104604748997743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.88623749977667 2.94366999520812 30.5310283895716 15.9414159498631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12813718446109 1.19873906654358 3.87804868346485 3.2089480782829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.620613646272414 0.673267977232752 1.08037255990775 1.08426214409432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.398767875358305 0.436748694855073 0.43043574470566 0.468489101105949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.79475491686901 1.87214273202775 11.3892387088938 7.17789515578856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.52844700638133 0.577444247711559 0.839202210903792 0.83275922210461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.251382871920936 0.277347848015686 0.181442485101152 0.201938351894514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.147469195626523 0.164362698485202 0.0616285815872523 0.0728216932924909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.49916981378882 1.43119538181522 7.66946330809585 3.93634016360229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.407029487766198 0.449766990607472 0.461994236622258 0.495423167400221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.194694079929648 0.2589859808646 0.102455911279231 0.177521259942759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.120259522385681 0.18285455927616 0.0392900928542215 0.0906621767129479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.9100531931544 4.95822114973103 91.8851719545735 42.1786268111302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.89852155332046 1.9791224955381 11.7339364999023 8.16012045883961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.04002921494563 1.11251792217225 3.183654696391 2.8247882365824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.666885268110966 0.724437310678914 1.24293065056521 1.25019846804426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.05178470193434 3.13201528215012 34.9306620950802 18.5631673486788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.886551111648025 0.955371751702672 2.50169110126837 2.17004014639222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.420214031168732 0.46180862625425 0.524075287132611 0.544578870586948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.24627621654895 0.274019113702996 0.175637488174346 0.198707128894898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.51350928900739 2.44579025796108 23.2373809722656 10.3363820407342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.675887877492837 0.736642487163351 1.36634416544291 1.23105785611934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.323319129713678 0.42478795268353 0.295997655589273 0.455951700514443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.199213856169018 0.30175284987257 0.111774943460418 0.23905998016772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.752974961269326 0.79755115393675 1.75951992689255 1.48899315187425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.300063454813259 0.326348837084323 0.24983111575276 0.272759179611297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165767362497582 0.181079264423339 0.0741704879794775 0.0853759604677797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106720648428118 0.116990921146073 0.0304180863095789 0.0358303852474497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.477354538551645 0.516862963288108 0.682295285684526 0.668213438933438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.141696474060616 0.156175392754548 0.0571831864161893 0.0663260503965327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0677733464198247 0.0744487859014103 0.0129730494580922 0.0153268868659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0398452731384067 0.0441872869770075 0.00449326665005283 0.00549473115266859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.414068864823377 0.380804004671894 0.496530588218968 0.352932353093222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.109921650526479 0.121594932368187 0.0326273625915641 0.0390452876951464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0526546385041341 0.070523023958587 0.00747761210761342 0.0134666899313351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0326872471983323 0.0494217927473418 0.00291204514765934 0.00673655375886467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52531677638666 1.57750169116789 8.03597022029726 5.17309893649621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.602468438501314 0.648912563519559 1.05857235713289 1.02679025002161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.331991788624223 0.361557666993281 0.305338007758464 0.332000657677771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.213575083010385 0.233803056113945 0.123848012853316 0.140891602061749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.95938478683628 1.02005250206009 3.01955872508417 2.38447126926305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.28342206443702 0.312085986882458 0.236250103434007 0.257379990296634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.135480775190595 0.148920559131085 0.0527596809400823 0.0603738667800701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0796617779676094 0.0883591290040375 0.0182016636735169 0.0217162574740191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.818235280848384 0.761918915863603 2.10228855535167 1.28503043240136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.219337146368636 0.242374033929141 0.132483551735286 0.151832558676891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.105101380884603 0.140569163819393 0.0301095473359946 0.0529866219122985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0651801568860983 0.098455762094048 0.0117133795763434 0.026463699770487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.12727539002058 3.18389584547532 36.7242959981725 18.7141823169841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.21547488404173 1.2813222368655 4.65966193688974 3.70572100706622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.666915312901439 0.718920022815157 1.28925004985519 1.25648081661433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.428090204385767 0.466357049864818 0.511797567464344 0.545748757100072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.9507605673745 2.02440227514299 13.8244613421907 8.42350980415212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.569631931250833 0.621229699528197 1.00908614172332 0.97296973954858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.271286906237758 0.297981499510654 0.217715480886003 0.236057113438261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.159516820367276 0.176814936959098 0.0744063113024854 0.0856851565814078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.62077815651245 1.5485374086572 9.26437047999709 4.61368973520461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.436300171668229 0.479937068749042 0.550675382486706 0.563152665325139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.209243955367902 0.279054466285848 0.122694858715967 0.202972803806899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.12975595264892 0.196015557358231 0.0474879902197295 0.102673327746474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.73516060682926 9.81310176318926 378.16698539835 157.63090542384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.73659553481149 3.81806257843455 49.8900028595722 28.4129833175557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.03162111416259 2.11210604189031 13.4618594620922 9.63843693678357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.29730524027476 1.37509194611879 5.14198910517982 4.34685484309912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.13361422657672 6.22685879226594 150.726093748004 69.6392167516008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.75666220594152 1.84162214738877 11.1141949422153 7.68996535569599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.828749674321045 0.892572241367991 2.26159594904892 1.97598988702433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.485756611886749 0.531990883810428 0.745876206724926 0.741177138720055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.00898678916345 4.94234729673143 99.5852679028062 38.7493604014945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.32010811053056 1.39729635273256 6.03986551409995 3.88056161516585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.631209843940055 0.790143478963394 1.31440561375964 1.39645410132635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.38760439900931 0.561181441611098 0.487983590130038 0.752528005208332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.4118427294936 16.5112365578474 1088.66962868029 434.149900920791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.2973742759938 6.38737270984056 146.339292201635 75.2777449954736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.4108687764508 3.49937653392363 39.9016594248605 24.8393647964929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.17299334165399 2.2620528453062 15.2170629384684 11.0970772137751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.5007477092465 10.6123420370896 456.52445736458 199.180009887456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.02322910057911 3.1095888719422 35.7227826085461 21.3064039770384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.42026126380888 1.5002916286186 7.29713783648988 5.44879633368846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.831735145637836 0.895289790142731 2.38258853282114 2.05961022759158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.57110893008718 8.51233290920248 299.412094270848 109.098061092433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.27872627048881 2.36520798895314 19.4648878204814 9.94264134247491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.10038284259054 1.28539824465097 4.47830068304101 3.28193135916739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.672809035882242 0.89545411375101 1.67999387708508 1.72879219298194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0105712080707073 0.0114142192732085 0.000217853594113098 0.000732035331215548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00314743535529742 0.00338065683766142 1.92654089099145E-05 6.20741747746643E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00151062704806962 0.00163048587300499 4.42837245349173E-06 1.41358858707227E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000918284033495136 0.000993417215633885 1.69841998568142E-06 5.03517437022829E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0140662407240311 0.0169295136188394 0.00052194836083646 0.00129563741704291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00431112642204027 0.00533906264257275 5.11377248930809E-05 0.000132696096145802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00211117998112684 0.00266028921331844 1.22361841121975E-05 3.27255052475548E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0013711656358012 0.00172479372791726 5.5193833956785E-06 1.31522174890028E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0122724838105959 0.009543208650016 0.000399600114853082 0.000264518321046215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00663794188251844 0.00315421316134643 0.000117748971768279 2.63524400845185E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.004680596543764 0.00199402217884992 5.77969257478388E-05 1.39143051423455E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00398539482037007 0.00202602675991022 4.1127287725793E-05 3.22844316824424E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.242796250921537 0.25749843772594 0.152453978447639 0.169695357497338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0982954201679165 0.104132635765486 0.0241372950279962 0.0276388309877603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0545508915320449 0.0578295899069672 0.00736739094203172 0.00847572625982136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0352545973652726 0.0373362812216909 0.0030671497216274 0.00351812922316612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155014213399766 0.165215042128428 0.0631590390916055 0.0725227075458899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0467870323961904 0.049907008005492 0.0057769285153306 0.00677331409713143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0222986617059753 0.023886330899965 0.00131414846522863 0.0015620366583413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0131968278827251 0.0140708450631699 0.000467166750024678 0.000546400816217667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111229484617746 0.142956149252449 0.0330204637979765 0.0504593389630452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0376042659251556 0.0381224229434774 0.00374420692714442 0.00357828619606806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0223563276488452 0.0183017872445118 0.00135457516439625 0.000835379440677761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0161189528737859 0.0115042726360806 0.000688649076416333 0.000364939245469736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.484799762014926 0.513690264073483 0.634037058859945 0.644479112339307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.196499286141666 0.20814568875151 0.0981575792415193 0.108479724805939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109068857963539 0.115610521776412 0.0298006713750104 0.0334720926724068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0704898407242396 0.0746449977662991 0.0123772389939376 0.0139299291793783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.308605896140746 0.328580333100214 0.257612135168368 0.276700946360991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0931793642070812 0.0992749562718979 0.0232336374359103 0.0262288435401378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.044409308851952 0.0474891038956646 0.00527346720830463 0.00605413753807228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0262621944495214 0.0279489478163069 0.0018699034012132 0.00211543968884773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.221482022891957 0.284958420484014 0.133505391614177 0.198022671830472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0742182041242729 0.0759899569773843 0.0146476476439274 0.0142440522029584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0439133783968139 0.0363567615111749 0.00525346821346041 0.00329222865279267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.031275562826516 0.0224188907228596 0.00264571324869426 0.00132504603664554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.968873917122201 1.02026576071042 2.70973109751592 2.34769544743759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.392951382240684 0.416067021696273 0.40051931331264 0.424540273831624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.218128580151391 0.231177517758871 0.120508879578703 0.132374847421329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.140971500833708 0.149269598065409 0.0498788063239567 0.0552888520765228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.616447348055255 0.654208562247308 1.0740350136322 1.04140002961329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.186105340057796 0.198314238400009 0.0940163112351722 0.102829251571079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.088720349989662 0.094846108151701 0.021245705677951 0.0238453282914803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0524576472490338 0.0558070937342668 0.00751790792544594 0.00834306493037441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.443256258208641 0.566546739936756 0.555039177030074 0.756346572498086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.147762873116995 0.151810792294733 0.0584927001208544 0.0565410357638758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0873601168442042 0.0725740790252405 0.0208982054157661 0.0130554881547673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0620133777346395 0.0445203376347853 0.0105252591663148 0.00511382074842417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.96990275968215 3.05187119191151 29.7121025098613 17.2229155852587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.18004206064985 1.24138096119646 3.85973385461217 3.50692320585487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.65445510575556 0.692787731417298 1.11767231333004 1.1520574264969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.422901861424815 0.447592242810881 0.456894341411796 0.48836091857918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.86360194536342 1.93419399435655 11.305602139603 7.75535647966761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.558925376284671 0.593791109089728 0.8841967606394 0.879729642522438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.266267801649039 0.284535551750144 0.195414950982448 0.209784034337777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.157378772842223 0.167476840550541 0.0685778944599618 0.073972608312274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.38734453985835 1.62562087363017 6.24606088116471 5.26438569058495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.437697501562721 0.45465764734733 0.529137588334451 0.48820595948448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.259845291874738 0.217575474497362 0.187405981650645 0.114258308880253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.184695567804322 0.133186923922552 0.0948384553993404 0.0442265303298146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.04535559655609 5.14210803117916 90.0418614229428 45.1257236460016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.97503923085975 2.05559782777072 11.4546066833143 9.0039571958119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.09150830503423 1.15142778338917 3.19873385999793 3.08317132447319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.704808554275379 0.745212704212527 1.28896999299406 1.33129926349667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.15523744903836 3.23619890790171 34.6618498831206 19.8793711578305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.935045276977162 0.985890268869376 2.58002456973211 2.3252860369245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.44461570171 0.474410655103412 0.555287731521498 0.572163333096512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.262537716128004 0.279480826855962 0.193018106318474 0.203705624964357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.41638744223061 2.67122644471105 20.3181429601413 12.7081034904509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.717192200857331 0.753027913685269 1.48531163917893 1.27206853071104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.426460716233068 0.362881862428776 0.514736406099097 0.307573477010626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.304766749822528 0.22181636739353 0.261597463809686 0.118785850530119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.776995361470461 0.815001470200466 1.76261860400096 1.5945715482265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.312598483945076 0.330550191966194 0.262840350181821 0.280917682358329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.17300974637075 0.18315674298747 0.0790680503410562 0.0870444568709322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.111617386711573 0.118140512456495 0.0327010218909563 0.0362964763498978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.495104929797091 0.524753332054737 0.705149339578632 0.700142352950763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.148627950624244 0.15784809528729 0.0618648641530487 0.0675525792978504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0709259641651324 0.0752650064565553 0.0140439393457058 0.0156047502188265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0419460688628245 0.0443697723058313 0.00497913906613964 0.0054785987454645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.357108817797298 0.455244783965166 0.363737062261713 0.514022594060639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119826493550335 0.121703270287083 0.0393746695242636 0.037615704665848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0709265502054974 0.0578872436591499 0.0140260818425318 0.00861424826158478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0506753835173426 0.0357494572428882 0.00713206744541929 0.00343938351863555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.56378049093047 1.61288354779283 7.82430818131273 5.60120914411668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.62534693666894 0.660085693093391 1.08121747122461 1.08750221334352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.346019103698249 0.366194706574893 0.320568086304128 0.343302441747647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.223222647656425 0.236248947117946 0.131896893351621 0.143960634229421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.989812060306623 1.04069253725392 3.01711165334087 2.55691924827834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297245416809083 0.315478240724475 0.251862872163378 0.264356463272298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.141839788734864 0.150436267696226 0.0567581911301459 0.0616365987824395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.083893023504996 0.0886772794748808 0.020070989531593 0.0216923641304426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.720878794148034 0.892950535935008 1.58213324053424 1.8469927671606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.238907301191131 0.243246256795235 0.158422638500468 0.148403203841688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141456237213855 0.115659635507711 0.0562021254489203 0.0340972251231921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.101013307259894 0.07121644664158 0.0286373189312719 0.0134227474983182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.20312127492163 3.24448726206818 35.818739296016 19.9672341071536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.25228668821207 1.31109141889932 4.57340392940876 4.04534252092984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.692220397889941 0.731352597324301 1.31304606930102 1.3362946414477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.446469566429969 0.472229434811682 0.534715328650982 0.567545723393444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.99917795520236 2.06536924795304 13.5814307224804 9.00926158001812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.595292723024798 0.630005475359459 1.04470448046174 1.01652725178703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.283875355350594 0.300993981836506 0.231097964429835 0.242894383105194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.167920513758535 0.177409227168283 0.0812720020759509 0.0859247485666875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.50270188078052 1.72421639577757 7.61610126991315 6.03996667468906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.473114701175327 0.485343553102235 0.638223890816615 0.571731254767547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281118026069244 0.231248694219187 0.224692270027316 0.133417648811064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.201297558662701 0.142122039348815 0.115164018351981 0.0521005698509848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.0164578730113 10.0076365499854 375.874257169636 165.294680536902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.83458460682568 3.90406368755529 48.2560850408967 30.9255670103025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.0881173575184 2.16561167558755 13.0036125183489 10.6580614286678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.34015210446941 1.40614024877642 5.06595822694273 4.76360511115006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.29148245799148 6.34847083596256 149.818065891059 72.6615421668169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.81321336168218 1.88046257670235 10.9678523882803 8.16287097577704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.860945258227943 0.904992227092709 2.28291207511384 2.0755993259733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.50785610798648 0.535727088676747 0.778494804833938 0.759422600234024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.96801910734715 5.16729856568194 93.2069126793132 43.4757868250944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.38644119463684 1.43272047934551 6.33118417794123 4.19487557421678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.795897206585687 0.696436749197936 1.98864281761536 1.06809083388032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.578715927914442 0.427864972390344 1.01953208457108 0.421841687266652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.9060167682193 16.8508249177473 1087.77317553464 452.780957037272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.46930745017409 6.52948935753848 142.59561529055 81.2920434171944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.50348742901539 3.58528945492184 38.4606096922678 27.3864780688365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.23757215952568 2.31962266570151 14.73349942254 12.3169638429437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.7868775588367 10.8226149237566 455.059395408485 204.828064005672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.10601962795696 3.1726725514948 34.8031881465824 22.2600303075685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.4661689064892 1.52246360776598 7.15865547684478 5.68073295739679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.863123441559136 0.90403298966394 2.39601635567854 2.11863242833986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.62255129087494 8.78612036937016 288.50765257429 117.258641418087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.37098098649994 2.42424792967149 20.0590280035612 10.6629883877344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.29166908042385 1.18772701956905 5.85908654776073 2.75232401550655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.917044866561145 0.733151607679181 2.87111611280804 1.10329006996233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0151055235913621 0.0152016597662723 0.000464476059430033 0.00124846362576558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00447781602387375 0.00450117334536673 4.01029133020601E-05 0.000107120977136553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0021447121449751 0.0021508990738075 9.10476306009229E-06 2.41764122167872E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00129136818698534 0.00130446100454686 3.35952708828679E-06 8.70404934644568E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0215134396825543 0.0203237962573084 0.00128925278643014 0.00164990399306684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00672739113470064 0.00631050136481515 0.000132066583968969 0.000159859932225112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00330227366681342 0.003079029489403 3.19548860581551E-05 3.81598008434219E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00209869864237787 0.00198559264232539 1.31278328955056E-05 1.59924767467785E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0128151125433732 0.0128667489063914 0.000562500950279476 0.000433631286319588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00474613374790465 0.00510840687386404 7.18313291757805E-05 6.50653209716458E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00308127258319104 0.0033836032659531 2.96658229327572E-05 3.04277174766654E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00276396189750201 0.00297370689578808 2.95155296392453E-05 3.26144194673438E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.26145850644737 0.264645159283198 0.169272829755284 0.180579264275729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106053509907802 0.107123268592519 0.0270535846298834 0.0290334470179258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0589574773500413 0.0594445710631579 0.00829864416654261 0.00884663772708945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0380904483024466 0.038425760795066 0.00345511440042538 0.00367276714489529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168581203127855 0.170432569712068 0.0722588835396082 0.0764754801382602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.051043901565514 0.0511490222651209 0.00659918298052898 0.00702102466438116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0244507804567065 0.0244602425073003 0.0015115127790872 0.00161770762870145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0144421562961328 0.0145482909830849 0.00053147655034344 0.000580254734287652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.132865376259246 0.132245358866459 0.0456296907461833 0.0426448994837641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0367034057148575 0.0370694452821503 0.0034021293670148 0.00335135713353511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0181978344709587 0.0187367766325029 0.000839623381914466 0.000880327374273365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0118022607088725 0.0122346451831157 0.000354994670215128 0.000398817616590674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.521966052986929 0.527568416276442 0.702821474696467 0.687570940541412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.211918126188513 0.214022475386551 0.110136356974178 0.113649454154401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.117835128788145 0.118800443715332 0.0336256172532816 0.0348310229748235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0761360469892302 0.0767989847131556 0.0139662527448443 0.0144981320882951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.334626411020124 0.338320029758766 0.293228686385348 0.292321771183486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101257077517651 0.101552231596821 0.0264563768503257 0.027150977399622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0484805459261023 0.048556940989093 0.00604176309812971 0.00626424047487393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0286053912664735 0.0288278256000341 0.00211432463714096 0.00224190328305431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.264513744941217 0.263418657308382 0.18190231372635 0.167572561175958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0729187883500086 0.0735831291349533 0.0133709629162803 0.0132027959395302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0359562332386401 0.0369593253140065 0.00326993104183586 0.00341592045004791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229180400338222 0.023816495390953 0.00134335674712981 0.00147466844101029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.04184368324558 1.05035153092158 2.9573087729806 2.55175982177436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.423766386696666 0.427809629713641 0.448274103874357 0.445879098465446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.235641746850993 0.237526965470241 0.135885632133925 0.137769867849654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.15225336932648 0.153560141905025 0.0562779522810722 0.0575180744428415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.667758997696144 0.674246971097591 1.2124150939317 1.11496969815059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.202116654113419 0.202680352130718 0.107126717214756 0.106539562152684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0967404450520597 0.0969278789610044 0.0243514280975284 0.0246851956535943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0570697767946536 0.0575124039340708 0.00849788802655258 0.00884266719789265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.527789813918077 0.525965679184947 0.741848185584294 0.649551031285785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.145595030051967 0.146926595063742 0.053735489760631 0.0521520682607436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0717077985718148 0.0736714721448413 0.0131163275110787 0.0134465080177972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0454675802979391 0.0473266884320765 0.00536909396869719 0.00571699020413927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.13749770071931 3.14634945627524 31.248650317418 18.8059761621543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.27042270725132 1.27952256912897 4.23105907526521 3.76959771872033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.706958222370989 0.711960517457068 1.25018208662664 1.20933153950153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.456730140226283 0.460456896832015 0.513047984633379 0.510244014653284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.99583552763112 2.00623755878091 12.2208709413713 8.59001425080166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.606560670289102 0.607326917077811 1.00188503613317 0.922604787890871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.29027059499081 0.29064275848499 0.223880186515246 0.217831747195497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.171188939119283 0.17243896783833 0.0775733014466384 0.0785047586276763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.57169115385199 1.57069704841941 7.35291964644316 5.02707354216715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.437729815359455 0.441617619861732 0.508832263725597 0.449635201683134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.215703939520076 0.221425110686027 0.124278459025117 0.116623411092157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136539003581781 0.142149383758925 0.0508953640912033 0.0494258439797909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.29518194634637 5.30466076646948 94.7434539578599 48.7729445878538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.11524836193915 2.1255381745628 12.2930574468098 9.82808869423733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.17782345088083 1.18489964854121 3.53781276808191 3.27544179558348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.761096579935134 0.766834861799946 1.43930099603157 1.39928648507052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.34677121662131 3.35659299415555 37.0375630749694 21.9466510302787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01172809646135 1.01211671458367 2.8795971345943 2.48024073963391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.484578993403388 0.484681216243317 0.634822880605895 0.597132116632799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.285720384834356 0.28754471279925 0.218436337761404 0.216131352955451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.63822357564412 2.63751244532667 22.4379098928846 12.6410049953186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.73306012417229 0.739058799366461 1.49028570902476 1.20244540837008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.361913976763445 0.371027278228753 0.36544802743255 0.315001695951214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.228928212857479 0.238115984260611 0.149542553261419 0.133826414208578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.822358970987444 0.823519935576502 1.89421107414388 1.68585868506279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.329748521142378 0.332539699550219 0.286414693452422 0.288504892768632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.182462548653164 0.183936164127474 0.0866486961849955 0.0886305989730536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.117620573620106 0.11866475027617 0.0358607794999528 0.0368992065021476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.527086107097277 0.52865471002745 0.773737444779389 0.722326945102101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.15762767750188 0.158615613440788 0.0678796192282753 0.0687349297276277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0751426919197498 0.0756828703103234 0.0154167602015132 0.0158182143061019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0443728002345912 0.0449728963588362 0.00541494668157891 0.00566476175309024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.418028597394469 0.414659413606323 0.480892411666211 0.425914601343718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114775028008497 0.115870788963213 0.035168543075798 0.0341764492385693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0567160813188001 0.0583604026474498 0.00862383545270416 0.00878574566367797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0361417356587085 0.0376907123429425 0.00352129833093549 0.00376732685384203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.6415653679376 1.63354227208958 8.18479404042293 6.01554148785077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.659581038350215 0.664022001567987 1.17105412639022 1.12381217042808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.364872313538328 0.367721878618884 0.350297678610901 0.350354620165169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.235206928445414 0.237270323119742 0.144420453243499 0.146479382739691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.05023820398189 1.05284647329923 3.23912311332413 2.70377139292686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.31502213987455 0.316908741578764 0.27600788372589 0.270040012339384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.150157556222338 0.151255122195285 0.0622560014527584 0.0625726694385746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0886620253246073 0.0898658727747649 0.0217971814159179 0.0224586580639841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.832785438554687 0.825962049674054 1.99603215097183 1.60427384759293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.229705461083866 0.231663294433532 0.14331446791229 0.134222683411587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.113453792861139 0.116614971654087 0.0351157715001094 0.0345399197334434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0721901772626918 0.0752014225205949 0.0143677947231785 0.0146983362313525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.30976986129696 3.29148441394638 36.7410019139152 21.3746293287973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.31897123364681 1.32158599822362 4.87127599766239 4.24973805575488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.729682489822425 0.734503622706993 1.42426717457896 1.37300836847214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.470312972477481 0.474264815165287 0.582798243396987 0.579590946012252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.09379492215932 2.09878928893947 14.0944043290372 9.72277903617667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.630533111912956 0.63307070588603 1.13713005855229 1.04963943878907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.300531649936322 0.302490908214148 0.25309375450695 0.247128842060776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.177416001717821 0.179708360889157 0.0881185386084891 0.089072489657085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.6570632730387 1.64658581022645 8.6499892463097 5.69300491517982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.461343630901549 0.464099721157835 0.599395437846769 0.519201511800955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.227822536517288 0.233834151297986 0.146850322146994 0.134547924514493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.14489738134576 0.150588373645656 0.0602007629453081 0.0571528784128148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.2779537976751 10.2259128396479 388.580186324512 174.724757343761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.96391261600409 3.95774687037293 49.4688137380382 32.9897240016276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.18456931292324 2.1864212418382 13.610941611886 11.2714075118474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.40875448031817 1.41494476595544 5.40626613209797 4.95689113073285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.47500274371779 6.47839733202245 153.612973203318 77.7770016519735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.90124014980133 1.89932118721172 11.4669819489487 8.64527434925168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.908364176809368 0.911601241720775 2.44836106398049 2.15001948922101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.536884415590197 0.540932916907799 0.839860681574949 0.785729252831721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.16160396983277 5.14536038397919 96.8916650944141 43.9770412325076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.41463895222782 1.41405683219582 6.33153804538471 4.21417296946392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.70331697170538 0.716738757550873 1.57216001573865 1.13356867838195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.447571356215387 0.460163817088236 0.65017877128453 0.485151674632667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.3534071239172 17.2741908175462 1130.1787076989 477.781645567862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.64946640094885 6.63893859287451 145.829171056729 86.5106494083852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.63204738482451 3.6319713205075 39.5427382122143 29.1972615827388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.33886675114905 2.34234233246645 15.3992873671352 13.0164316938881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.0724141303075 11.0720087718187 468.765155758994 217.759629414016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.22290240111961 3.20925635197121 35.8954039245691 23.4902202471981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.53528206139336 1.53799608745973 7.5068287537931 5.93876631210941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.908644106906616 0.913187381453528 2.54276023759095 2.19770224409767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.88457373153922 8.8649263919597 298.478481547978 120.56316587631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.42184485955404 2.4165570066786 19.9801224943433 11.1487604703989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.21213047745977 1.22827614531554 5.06993175760463 3.06473824863312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.774180177109357 0.790376941926502 2.13508115157443 1.34031963818027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0186744798986414 0.0193103432060618 0.000683596141703739 0.00203263943285489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00553914408750516 0.00574389707699408 5.95342433900427E-05 0.000174094314890615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00266371993475998 0.00279211770930682 1.36784201701265E-05 3.98660571794571E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00161164614872129 0.0017515694892804 5.14201278480199E-06 1.46703664684498E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0268500998494529 0.0265043487679195 0.00194104505150532 0.00287131519292146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00841637457202458 0.00828166378733396 0.000200449365670468 0.00028233653073758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00417648619532132 0.00422599268196517 4.89084542514514E-05 7.20033440806105E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00271448403905281 0.0029553880998702 2.06861095644754E-05 3.38449499274529E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0151541860381278 0.0207282822287766 0.000801327778924145 0.00116913746790791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00484346885416376 0.0108092633466542 7.83553389973031E-05 0.000314252775355238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00294689202278865 0.00755609300609857 3.03227137880249E-05 0.000155200366699073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00282656015056765 0.00643413622575759 4.25851956427399E-05 0.000131659505894597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.256200718427062 0.261541637834526 0.162071071026184 0.179701764986544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.103637556302825 0.105871749574524 0.0259924897165875 0.0287980063130533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0576099747693012 0.0587731123989161 0.007987846146071 0.00877600651590305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0371996843391304 0.0379945565966498 0.00332718764166468 0.00363746342382601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.16480923060756 0.168546327272949 0.0681077008523257 0.0754638327512774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0497661642789803 0.0506247222913126 0.00618713729434543 0.00692192431110946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0238786133692907 0.024225783642437 0.00142275461829999 0.00159596646068217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0140827028650331 0.0144525465529366 0.00050088183321247 0.000572666760772324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140174366093366 0.122509802535218 0.0506779774070879 0.0381995160103819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0374785917284226 0.0400375574142974 0.00356195294104013 0.00416461657277084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0179190376666062 0.0233379265012292 0.000810501343360079 0.00145354031462886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0112436280651977 0.0168598514459166 0.000323123957318918 0.000795783938331917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.511070966553049 0.521232965402176 0.672097157400222 0.684075215629958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.206984833811327 0.211458377253364 0.105949301772964 0.112368860608636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115093624509964 0.117438292859893 0.0324166156192838 0.0344496224851578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0743324637687371 0.0759244568524605 0.0134674826669981 0.0143272742299365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.325919003966783 0.333367207321463 0.27486521577945 0.285492708690406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0983696667093925 0.100042222682855 0.0247017320200248 0.0263639945505466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0471668601036002 0.0478125238500779 0.00566659042182876 0.00606661946951506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.027749673158675 0.0283825957141135 0.00198085348898762 0.00215830965191008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.278633089631357 0.242014763499497 0.200380356100756 0.147753902164058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0744089609776027 0.0779161864547969 0.0139194030338922 0.015722967528763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0354087740923947 0.044690483216075 0.00313788600225234 0.00533427607031616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0216439457281667 0.0314890510513781 0.00118014079007019 0.00272965009099299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.02166636788593 1.03805570063296 2.81470097279566 2.57127568038882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.413879057925918 0.422703686726481 0.430967329855179 0.441099857615864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.230133607918298 0.234823809994785 0.13104569008929 0.136187807475783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.148633435521477 0.15181904379671 0.0542962925374692 0.0568113134761713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.649984210927224 0.664515826899517 1.13093436715402 1.09560453641598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.196197145112927 0.199494260767924 0.0999417549437825 0.103128557497305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0940547016325276 0.0953324839754227 0.0228492355211294 0.0237904734840188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0553182661566578 0.0565137658201686 0.00796506460113506 0.00845796299568407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.55547561222016 0.482520986985794 0.808462319216354 0.574515681150265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.148524966980831 0.154737402825729 0.0554955488472934 0.0616624692294245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0706036422476769 0.088364209231741 0.0124832952522165 0.0207838486978045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0428574139596894 0.061692856137799 0.00466112927092763 0.0103662714668056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.0607433813296 3.09104244916373 29.0461673277634 19.1705410740619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.24220370095568 1.26479175970976 4.04324431749872 3.77225763526204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.690349169610659 0.704079407761186 1.20254227027856 1.19938270053684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.445798528233504 0.455323500031997 0.49439257096174 0.504715032189685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.94254026872608 1.97902634364797 11.1782718717396 8.6557120297859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.588521517139765 0.598035751355252 0.928917689086423 0.89866941285328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.282083654026038 0.285901401137974 0.209517540386781 0.210317091863676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16592185473084 0.169430472311377 0.0726484295021925 0.0751322748528946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.6370554597433 1.45034554144336 7.62194071706137 4.62585223198106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.445440987508352 0.461900943516191 0.510148449857221 0.535244556689291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.211767428716451 0.263570091355659 0.11438577224451 0.181639779148189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.128303895130399 0.183526661362576 0.0428568704278902 0.0898615889799459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.15685111246613 5.19441919538146 88.395203608751 49.04875305159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.0696667493901 2.09982080599349 11.6605800479778 9.92932359270834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.15060647619613 1.17198075106949 3.39363175607968 3.26429734973135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.742792042659162 0.758433038159414 1.38445951726092 1.38736623686285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.24839522370735 3.29418320540901 33.6895983467122 21.9618175981976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.981728971454976 0.996899067778567 2.65349276060824 2.43344055407853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.470672312580558 0.476966021730011 0.591236704209197 0.578734175171135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.27685537470659 0.282687626800162 0.203980507147911 0.207802559666194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.68860593910254 2.45501607214888 22.2868319855391 11.8321376798082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.742840802323995 0.765074014871544 1.45721133659061 1.42452969828972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.353485507737697 0.43702863895889 0.325852999148365 0.48928333917873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.214127343204209 0.304727613192998 0.122060035319973 0.243334294997184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.809839313256132 0.821974286988956 1.81341718974298 1.72076030130887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.325358319716135 0.331001670600962 0.278862144749144 0.287424963064564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.180175556694918 0.183271304638518 0.0846889654522376 0.0882910951340921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.116140355578652 0.1182940638739 0.0350685971861188 0.0367576618890766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.51833558228602 0.530052401097965 0.740278001871215 0.73705430349884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.156135057245164 0.157742442323574 0.066293353832336 0.0685357394746881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0744978525549057 0.0754196592164775 0.0150421891846934 0.0158771873786591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0438454563357379 0.0447394401157879 0.00523678094771801 0.00565785682161787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.442768429137408 0.386613285596189 0.531574017380502 0.381539297771413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.116931191155344 0.124461375803622 0.0362100100329855 0.0409264038379346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0556023902704384 0.0717441605891524 0.00819360220974803 0.0139350133797984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0340524528812788 0.0507398331937248 0.00306699640871306 0.00711563858677039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.61521357407698 1.63174833549031 7.72157744889917 6.26090232760865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.65071155651539 0.661334359725106 1.13741071666671 1.12462404097904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.360318945972048 0.366430756011612 0.342287181869968 0.349251205062459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.232256034302846 0.236544712022226 0.141244701977539 0.145961771599117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.03411371700308 1.05623654628871 3.08072745486472 2.78794455199214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.311882621899418 0.314915771258769 0.269298618724097 0.26899823511468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.148778238136426 0.15061884143124 0.0607380875436343 0.0627046871428493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0875458123714155 0.0893157774716723 0.021077325021919 0.0223947045225524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.881385767012893 0.772443275550275 2.17001296323857 1.46305492377571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.233735624193204 0.247879269092309 0.145728173743216 0.160864351176428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111080258301572 0.142763164628242 0.0329031446293902 0.0548176199429649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0677469282821137 0.100605123108725 0.012285768745961 0.0276981385087006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.24310927207588 3.2629969327225 34.3526856239804 22.1293140748665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.30152262452098 1.31871697630667 4.69835165056347 4.31200580968162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.720602973500164 0.73238196419916 1.38884507465007 1.37436776619354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.464435520696325 0.472948368773707 0.569554324486686 0.578562915405073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.06284694594277 2.0998391792905 13.2749476860128 10.1098908491079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.624206632226568 0.629252375398563 1.1065678873105 1.04909704860705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.297722983373529 0.301246705174604 0.246669186462916 0.248111800636467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.175154570090583 0.178665547666385 0.0851407073988265 0.0890741402197793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.73429303485751 1.55203391367601 9.01281359723232 5.36139282479076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.467715455887063 0.49357463688339 0.595296562626206 0.623814713313746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.222291547084101 0.284378069982714 0.134017343415067 0.21410948861042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.13536114047513 0.200464613402743 0.0500196769120184 0.108348535847853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.0719010590872 10.1033774976007 370.760883770117 176.739577064304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.90629808990613 3.93361207610578 47.1161121707358 33.7946444937169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.15872542821744 2.18378530865145 13.1294314799434 11.5006692784533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.39139775663347 1.4137407071873 5.25286746869404 5.00852263808009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.34493343974002 6.41800891778579 145.798111086607 78.9863759091324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.88264059530536 1.89261022812742 11.0545217749142 8.80402671074726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.90136376930405 0.908731595140734 2.38021045947265 2.18145163429409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.530303532176221 0.53938902171328 0.808600216502668 0.79616477695815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.17030596857292 4.94454013533285 94.5730563330699 42.4938503892014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.40860967769831 1.45070379479811 5.95673511264018 4.84142683418301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.67627217265492 0.831621259592435 1.35465490387234 1.70256045795147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.411302736161196 0.590692287742376 0.502342109512373 0.887503345866062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.0543821502502 17.1047827816694 1090.89963531055 481.906810417856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.54795594192165 6.58239118563874 139.624621172923 87.9045481996942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.58845074966096 3.61992420957253 37.9788815814068 29.8767412076724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.31044378733147 2.34154463595228 14.8734631123582 13.27897041525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.8820817605209 10.9829907111093 451.819355205757 219.764137182717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.18557134732136 3.19861378625486 34.6655212269069 24.0738754698438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.52754891165384 1.53477334941451 7.3148696020573 6.08871075684781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.899804064470137 0.911277679985778 2.45788533192107 2.24839793716094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.82236845368683 8.59248339137214 290.266510270636 117.459518642502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.38457424834122 2.42230703986614 18.6508399820569 12.1873335872103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.15761414581483 1.35748197132412 4.37865808515378 4.23144418325122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.707325210696289 0.963249566331105 1.65210305023128 2.24929849584358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0146766457474504 0.00610831299871219 0.000460635589904966 0.000181909812753372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00428929237805128 0.00183989001254725 3.89776618358692E-05 1.63500857845818E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00204599310486276 0.00087883008306749 8.81174292475009E-06 3.71968792889637E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00121606974132094 0.000521134131590579 3.13586223606726E-06 1.29928299270553E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0201903165865983 0.00545695771587755 0.00101724042093163 9.36370067770034E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00641034910589935 0.00164507628038909 0.00010659633364462 8.70539559633562E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00312708621701885 0.000786920170852887 2.56004041011689E-05 2.01415777528067E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00193195593134713 0.000497334751558991 9.98938563133076E-06 8.47244681716697E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0106558552253592 0.00459137471305929 0.000433448967059806 6.23108206168523E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00333930631790898 0.00222083094591654 4.1740785598668E-05 1.34507982316553E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00189335595297943 0.0015185016152297 1.28936160131075E-05 6.25543246748157E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00175693797899957 0.00124397625419904 1.67416744259074E-05 4.64015740487963E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.318525165069246 0.154485908369795 0.263304346608382 0.0596338208467406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130352595631305 0.0607127183305606 0.0429767705291587 0.00944226962240176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0724688139733447 0.0334600886710092 0.0131944798173857 0.00287457431881214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0467649213098626 0.0215533203139648 0.00548294332316909 0.00119252826838704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.207403827370933 0.0956810079466473 0.110508827700641 0.0233478562835493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0620587714204407 0.0285212263355004 0.00984638351136328 0.00214944897993934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0296655215088853 0.0135897556397208 0.0022521799424961 0.00049342358001805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.017411705728076 0.00808352878606217 0.000778662448294983 0.000178460174127949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.180535885315794 0.0699871893570863 0.0860105364731197 0.0122289828252797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0475873509524327 0.0220618917035364 0.00587293203993976 0.00126396295031433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0227046186156692 0.0125162551910127 0.00133388802819644 0.000418093030710684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0141191446244254 0.00875385611185157 0.000515103912624142 0.000209060344762207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.614595079321133 0.327317048227395 1.03426067912069 0.248348623798822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.259689588492765 0.122094438649335 0.173878071602104 0.0372196890834832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.144742080394106 0.067001178233406 0.0533289186152599 0.0113469160551128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0934616492687016 0.0431210173743838 0.0221265468912355 0.00471813068369603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.407317201356466 0.195930280461311 0.442527974972776 0.0950945695800745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.123296500535863 0.0570813693730339 0.0398719601582815 0.00854999268252235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0589690802518531 0.0271539692865912 0.00911212805237062 0.00196341571199479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0345851804298081 0.0161440711558329 0.00314127860549393 0.00071050721134462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.357205955081519 0.142601335952773 0.340219746390779 0.0484776341026288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0949104460690996 0.0439730178060852 0.0232642620928408 0.00495871312133525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.045231424646189 0.0248717553571753 0.00527083026648843 0.00163837831739684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0279387173501727 0.0173357630021623 0.00201940803077903 0.000810904305776447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.13559192309713 0.742688145165116 3.9496255695478 1.14148131759814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.51147871623967 0.251209940796623 0.690408860119513 0.151674806776912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.288517583523917 0.134848672111617 0.214455190426776 0.0451020620040892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.186693816321941 0.0864344090773942 0.0890261021599324 0.0187244672846335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.775815027046755 0.42556058661844 1.71109102323553 0.421738505262303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245218643492053 0.115131031400059 0.160725174325779 0.0344191705196004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.117642559029338 0.0544051328467858 0.0368183706091748 0.00782890274640028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0690246673963428 0.0322968474399709 0.0126827797714167 0.00283095234294572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.683270538130914 0.312730381711627 1.30317582006313 0.213559790455598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.189280313834419 0.088074032541366 0.0930682047982404 0.0194200084085167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0903101316973403 0.0496333316491669 0.0210921367445193 0.00642662114111374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0557106172218679 0.0345447396751902 0.00809785011191199 0.00317266878841321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.07588836108512 2.67025468775751 35.2775353279209 12.3034778745004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.38167849455858 0.898366000043341 5.70117734355892 1.71507059269581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.829384203092756 0.438385072147416 1.85199714560326 0.448128797843266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.551628997149118 0.267071883725088 0.793218608079528 0.172457609203423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.03758457895217 1.57524557964679 14.5840241104038 4.78263118121747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.70530878448971 0.374495579863187 1.39973497004886 0.351353523774284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.349174525774366 0.16697644212769 0.331655186041668 0.0726538256976527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.20632676430964 0.0976307236603439 0.11518609756841 0.0255035523032158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.74771581751837 1.25202233434273 10.6605208773802 2.74672844339411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.550137638767938 0.276133793139692 0.825946706267524 0.170380166832842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.268440472126469 0.148536523171316 0.192268701446007 0.05382435074432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.166221020811341 0.10274803331856 0.0743515910260956 0.0266271223606757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.05037263530364 4.67065074654068 99.7847479294557 35.6814457910412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.16409503762095 1.64244640918879 15.3442314626948 5.30840371160706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.30596114396044 0.803160551047985 4.8889913236097 1.42154535845387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.889920606713546 0.472710519999592 2.12453361820823 0.522446760745791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.27908849857543 2.8190804960922 40.8769400775954 14.2373311451199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.11845145262551 0.680241889639906 3.76224493375287 1.10402012989725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.570704334509338 0.290277192668565 0.905305562833605 0.217239395570674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.341729646669245 0.165294632594995 0.319621804639438 0.0725117948454157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.78192677576495 2.29829588118843 29.6110525835168 8.51788711920397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.869928504700672 0.501914198588796 2.22096587413495 0.505064911798774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.439010567959352 0.250319179541787 0.535651233261424 0.141501310555224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.274048155025642 0.170229974084475 0.209023638097639 0.0691152228092516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.938672679759483 0.577758289580376 2.63551307043583 0.740275173521822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.414361545950215 0.201342459906645 0.457523439976429 0.101737024936583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232361826959156 0.108929859179496 0.141411640393927 0.0304503703249371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.150184617737248 0.0698897332709532 0.0586930795758737 0.0126249112023029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.634937921926793 0.335329849066004 1.13400127263227 0.276582521854278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.198902184209824 0.0929723029696862 0.107009717238199 0.0231146172783173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0947791528633132 0.0440972732522382 0.0242018298949971 0.00527735554292252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0555862842258444 0.0261811752385365 0.00834066848387143 0.00189068014713488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.559830003664401 0.24467028431396 0.871406706493586 0.138625035218381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.154294466119388 0.0718826896384247 0.0628899684800415 0.0132293106523665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0733674413539246 0.0405839282968577 0.0142513065784509 0.00436128355858121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0447475438370037 0.0282747571922798 0.00538121037663836 0.00214544097002557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.72990877513153 1.31762752987203 10.2768514171733 3.39071940029186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.795957189634925 0.433335426448513 1.7603969023914 0.448689906436272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.459806882279669 0.222455671279087 0.561675098812159 0.124080352197817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.299300754141609 0.140752973005952 0.235153389954659 0.0504530340108058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.17114557076482 0.762371680719451 4.31537560458966 1.29355452280186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.392789778217623 0.190578860990098 0.4253924055126 0.0960546962437913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.188969813198152 0.0886922235340003 0.0974036217881157 0.021185471201572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111013754387776 0.0524549473574002 0.0336093631629875 0.0075397051809335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.02547114678541 0.576928518719865 3.24524566160157 0.683214813958455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.306368228019247 0.145041197876153 0.251604680776828 0.05177197131822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.146343246229105 0.0810321435754167 0.0573234523588362 0.0169654998825491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.089355223295845 0.0564088470500147 0.021757225817574 0.00836449910300063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.30658964492964 2.9028332693958 41.7055814572314 14.8203749238613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.46784853661337 0.985783149874132 6.63705273147373 2.1175930948836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.881928894245328 0.480702103215115 2.14798988086448 0.556257880969437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.588588107679333 0.290977342940424 0.923329584680059 0.210894672010109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.16615190853649 1.73270299380348 16.9585224632477 5.90756085447676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.754595238274992 0.410950247331467 1.6408587622592 0.435781197043589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.373898495403415 0.1816832834786 0.386874028837568 0.0884145447645082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.221350005380311 0.105777052377143 0.134998671646521 0.0304033248790776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.86260788092017 1.37247291104984 12.479291842313 3.36097872848668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.593052986789482 0.304642506289584 0.985372961525385 0.209500173729553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.289818804839811 0.16229878824892 0.231197866820127 0.0645521731341068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.177864974109452 0.112147046924103 0.0884663082993934 0.031750449756002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.77539465240443 9.40403030988964 391.225701208353 142.294838897776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.97926804520688 3.46692630847286 57.803284637028 22.4955137678142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.32019388923999 1.75979921053274 17.5642342081915 6.44409757877123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.5860155464565 1.04120391069789 7.48161015255909 2.44389879884147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.24537035341737 5.867349752377 159.77057384535 60.1566490167015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.01282486055354 1.51445644386274 14.1061712767476 5.17091534087148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0458329130653 0.632237096410665 3.32382311700089 1.03632649138281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.644027712872561 0.344792302268834 1.19569079524831 0.321820251647659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.29922643059331 4.83389602990681 116.369692095299 35.9813290070434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.56856165538835 1.14686758666498 8.45076917249282 2.34245728124571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.809659684632976 0.536347061781169 2.08980481802309 0.563684725379725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.512512784132425 0.343685919102288 0.830575277268701 0.250267759549746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.3044614030834 15.946598013399 1103.10444513706 401.310227769439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.49185944108257 5.9964779681216 160.234617326186 64.1880653043924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.68627119107724 3.12242414255897 47.5454333588949 18.9629749457766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.47534618827968 1.88823666042694 19.7630347629434 7.448875044504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.4928553042786 10.1663763520554 466.760664227293 178.925008587609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.262105798358 2.76111462056493 41.0515445269202 16.4256651639695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.66771034558362 1.18412561428298 9.44218644587701 3.49711960794453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.04073760873011 0.638300840842463 3.3773597107837 1.09927281696969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.89923609189886 8.43634761335021 337.908830824039 105.689883661252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.54011399477615 2.11391444556487 24.3045283929741 7.22088806898764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.30487610415962 0.996901667663746 6.07380107864735 1.69194092592537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.833485629342379 0.619202673163597 2.46198808496966 0.701482491667986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00681106439554435 0.00650600104956689 0.000118526517344575 0.00025265653603809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00199349253141078 0.00181345918625344 9.13998001533999E-06 1.76863462407957E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0011577697916181 0.000932166886220792 2.79756873411442E-06 4.05960952318299E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000977637203387405 0.000701262321512537 2.11543450743741E-06 1.97755035638772E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00507974867202058 0.00473998432255007 9.1606457070655E-05 8.06029182206563E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00251499692580477 0.00202337737250749 2.07954269529171E-05 1.30540735689271E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00236930098025218 0.0016210980804405 1.77370772155363E-05 8.5136086390578E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00302633471699551 0.00209214902110287 4.30062737381998E-05 2.76332033327014E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00485250286594935 0.00460558669114211 9.92525275970349E-05 9.99159728948271E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00139766251386285 0.00134946683932032 6.76906942389304E-06 6.38935235470782E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000820641605575914 0.000777403453564865 2.47183752411987E-06 2.08923987082804E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000664774522565987 0.000610082972755316 2.62781063459482E-06 1.6846793935784E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.563986887009899 0.566161281828302 3.91544575817988 3.44213066219963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165646668452772 0.165373774277342 0.282719388105317 0.276652405769759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0770198720159664 0.0768496168145815 0.0523329032605467 0.0553154973682582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0447595623256809 0.0449566698621282 0.0152405038554755 0.0191581311466868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.355184140040578 0.348996948009623 1.62780445130021 1.16820696217548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.111838297727906 0.108723845017857 0.166941848683475 0.126453553452856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0566725461226925 0.0559838418702861 0.0406539395521597 0.036264643816519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0360665603705482 0.0358849488761489 0.0156140513752404 0.0157527975054683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.38559373059414 0.390713836819642 2.43518489119377 1.77689563280323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0826323534499769 0.0833406738540344 0.0766640239569525 0.065632514541015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0443293255142179 0.0444523907822713 0.0262494539902181 0.0187009118080481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0340168313749615 0.0336651978429181 0.0236888236920617 0.0143580940701154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16161340729525 1.1770173828249 18.4826795125324 21.7718621501074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.339684137714023 0.342951102092704 1.35934194888463 1.5500530748455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.157245636291849 0.15878636938409 0.248875385907894 0.323095344810345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0910737523058757 0.0921966440532867 0.0728785190058292 0.0998589128169416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.739075088323926 0.719403633800963 10.5943355676049 5.39434331989578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.23603669166361 0.223926954904613 1.81239658256751 0.580961285218239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118766546192962 0.114515444135266 0.42327858628724 0.168548575181175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0751928360405956 0.0730440750281841 0.207196996685513 0.073299449753962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.812915061555111 0.83513885791602 14.0128721248641 18.1116243101166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.175122743982239 0.178925345975155 0.380381596424171 0.506921752167016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0936352860515018 0.0949972250310738 0.177128961284236 0.163806838980558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0726587089820893 0.0708253916392052 0.179605370760999 0.0891480370940719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.41403228325269 2.40910599969609 156.710133629944 93.2515618636913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.713194665932482 0.716983638049497 12.0802408498822 17.6793509809804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.331586720353831 0.337373702944347 3.34050204277373 8.55172841855334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.190957557608987 0.198795479544961 1.13324992895282 4.18907253117935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.5179118735568 1.53692620916585 46.2001829993036 117.12267362886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.479253706731926 0.492981052823862 4.1537704251609 20.3628993949353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.24172609836444 0.254320271222112 0.922736870583377 7.22163071830779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150600514244654 0.161677283288081 0.310454011144841 2.69849669464169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.72105866204944 1.71148813899517 148.872203177694 47.1987711925575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.377889049832432 0.380477266857733 2.80832115268939 2.02179494397117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.211095745064023 0.20564673861702 7.52920334335031 2.92317781776409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.192567935355503 0.170870170859955 13.8287745049187 5.2085195330135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.4985790742412 8.71139475501031 1637.35601474628 47549.8020427934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.31868794502607 2.93107925732263 249.268927024707 13673.9133897451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.10960034636289 1.51681553565142 98.735324175911 6434.98394319071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.659102379061145 0.924018230921371 57.3394459638647 2830.80196156585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.93309662355949 7.09053082708244 1133.0805461616 130703.054940432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.54531611078289 2.30196206888367 64.6125968806967 8171.05216114082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.797708247666257 1.40791713555329 19.0554571341762 5432.77621141058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.504871766627995 1.21620390947474 8.48989817475242 8008.00732095473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.9393413698439 7.28432171506929 9725.26648362296 45008.0676914709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.70432368212623 1.28771172816424 5178.35417494079 37.7274903137322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.16018317903845 0.675935433689868 3321.25185368333 7.50943905244058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.86788465765625 0.506180359077973 2404.83239795621 8.65679916687692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.1656956112147 14.017796201603 735045.093412745 75231.6196999996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.64657883552966 5.28341926867836 209364.946836486 67150.3314240881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.23023550001742 3.04777843558666 139218.09138739 47698.6020054536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.28459273014274 2.10835352643418 108529.611916925 33015.510052374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.1035497738844 19.307261166534 606385.467433427 3464825.21412888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.4042901944517 2.99319740990305 1506729.19515612 1195.47306159814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 11.3320942784613 1.47608360766286 1742347.88602122 185.071891625385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.82364221147369 0.987118398818986 1182199.15170858 108.043846831902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 79.8720253843516 10.7558337215697 134149305.804619 27054.819920616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.4807663490808 26.3879301476144 817.712312162677 11248789.2098179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.36629119328312 20.7151133728142 504.217178552079 8649680.7230224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.955264590386922 7.26052242500969 55.5423795585252 733179.522452994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.90606549150835 1.93880230009763 59.7645621768803 63.6952783149377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.556210784054269 0.571324470987491 4.73199183954329 5.37141800964521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.256558660558779 0.264630488243121 0.909159395626178 1.36520761499077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.148651191374534 0.153758033591707 0.246442912315149 0.476489326469959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.22615591401265 1.23293751582897 35.6649326344217 40.6772492632065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.39960834723107 0.378328899750379 6.02115065356764 3.44525901253609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.20123757878294 0.194692105344311 1.40590994851196 1.04651474132924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.125994414456343 0.123602021188485 0.560393502206847 0.417219084453251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.39788257429656 1.34719058099478 58.5435101434374 55.47234242703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.299109201844609 0.30354341346174 1.41111376654552 1.11677749366515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.159217653656417 0.157857904281151 0.509957342423593 0.334527149427921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.120614860801085 0.122698122595011 0.339159200875618 0.30386169233527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.29752690648219 4.27191306910417 3787.72884220906 2382.12969781727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.47635615252507 1.35535740079075 2250.98180343559 470.28767117997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.73738843700726 0.668518943430685 747.816043851226 220.136735848154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.469311894888251 0.42134605650277 390.178906264548 142.490859430216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 39.8533191130121 25.633592588128 42403084.5456604 12969365.5200813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.01160755191573 27.0795061590971 220174.280129715 23406482.3795244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.07086795096993 10.7528587335228 97046.1508620828 3317072.98723083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.30302880374692 5.95045843170257 38432.8903770816 855323.317336701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 180788.929945889 5.16034712895231 1.18348383348078E+15 198906.26689243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10121.5932051448 93.0087910237243 3702293397795.77 131420431.213254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.700743159319194 139.205484795754 1692.88021432748 532454046.690379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.922245747095979 29.4918260409871 6137.20184623612 15619514.5108714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.99420217362742 8.47585312606515 1469.67250768359 3932.29579351336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.63672764115088 2.8478980512843 1851.27879239645 1961.48285251211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.37211739933059 1.50190402708564 1713.78406010002 1561.38845324086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.90625716407212 0.992386092719429 1685.47140350837 1369.53731536119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.7855906680526 12.2200321584511 360199.687496214 659925.371530126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.9737971292458 3.43038446022568 104392.917477364 55811.217232385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.07067685535142 2.08853558105793 36917.5761653812 25778.2533868163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.58698273228823 1.80107679442271 23028.9339241305 18177.84108018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.4505035179882 35.4299732599187 287422.10889374 23044463.3858981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.43713646921914 10.2194604670193 688421.108320613 2692639.97807689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.04076673418229 3.65764495381568 16931.1619828831 226549.419088867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.12909101921427 4.25894813640334 4349.57517165589 378293.946418757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 25.7534036621102 27.4394631566109 27702.9266576022 99432.6954507779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.46279549420419 10.5201019246529 15190.9323310218 50450.4333644182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.29704133854643 6.12165647080161 9942.70777996493 31732.8375049244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.6249208384212 4.2993933115902 7262.37813002849 23553.8700892656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 36.7191381807644 37.8436845254992 853387.353248043 1155442.94328767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 18.9327999913442 20.4281189557627 639276.877397508 1259032.6739937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 13.3103387966234 11.2706125865472 701053.567378051 262248.493612009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 10.8534682743891 10.2937932083878 777666.840567546 224608.450434025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 42.0538831413891 271.42629957273 1654020.87980311 1480397208.85741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 61.8394887105903 75.9530718456945 68987532.6420424 57020486.1680805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 19.2825128093537 19.3460875819056 2082700.06630425 4775455.60430226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 18.7229840151467 21.6554088583436 2634638.08708039 3315838.06776668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 42.1836355066557 44.1286239379313 38611.7302001413 45182.9863767235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 15.3600931611886 16.7657034575129 11836.0425545792 16103.5197641977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 8.55540746603703 9.79886484626978 6799.92928261635 9707.72849452203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.86104009243707 6.9658267931363 5098.76102844472 7016.07237554212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 62.3057478815929 63.5194226988568 1066813.37490134 1007592.99703578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 34.0505612267516 38.508129033348 826617.985018675 958308.962086705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 27.1531086708982 35.2160213536193 850293.125053841 1331109.65095399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 25.5260881234264 31.263525687019 1191727.4176697 1278616.26594585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 204.493097785156 155.640526256148 85425894.457749 23611297.3881311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 114.226392495426 416.599900981026 59672130.3534566 2728447473.21129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 183.441728331394 109.989032675867 265892486.151784 102506111.284474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 82.3063157960599 75.7088228199983 70234409.5771609 63073965.8991348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0283366838322952 0.0239850565505196 0.00177142942083271 0.00304599886342815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00789850416920463 0.00670229999176023 0.000140969448143411 0.000229465914684931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00371297596395721 0.00316469630465041 3.22089473660869E-05 4.91482082931795E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00227556878307576 0.00197628254724066 1.33012300529256E-05 1.87537171730568E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0211136947383234 0.0175954715873403 0.00141410285215845 0.00107168539929077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0081091451261682 0.00673051578269222 0.000220901654445581 0.000153634175372817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00466182004716238 0.00406885019690428 7.77219925611545E-05 6.05185089157858E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00384139710047606 0.00362030570582038 9.31911210315232E-05 8.61156977043384E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0212622008852602 0.0179187331052223 0.00165720521349215 0.00130169487510394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00636803951858028 0.00531218048471781 0.000132049746299299 9.29312120754799E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00370737306708482 0.00308000452937275 5.69522920992791E-05 3.06847160956249E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00291701921391983 0.00232240442242316 5.0849698270083E-05 2.15859169202982E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.567507028219412 0.541777044628167 5.16283643014138 3.71209434642597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.174534850182457 0.161384799937599 0.299104961654834 0.267393981938499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0842214516815328 0.0755146091029791 0.0622670405749124 0.0515321966095287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0502815743651417 0.0442565027641997 0.0211178531043613 0.0160396582974065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.376499102847486 0.356099515922258 1.87793695124983 2.39543110687918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.122519000843826 0.112470696035286 0.18008065176308 0.312430719020678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0635856366369618 0.0582333258487049 0.0461938785827109 0.101899845108797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0407160432919188 0.0375212778844153 0.0203794633392293 0.0461703616598302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.396155979976576 0.374427785308479 3.45842665125274 4.31017969703687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0959507767096968 0.0840607356649882 0.175631154721975 0.0910241550115079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0526541417853616 0.04456377549526 0.0491888253391415 0.0245419549701366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0392744126392696 0.032960133769665 0.022901392137493 0.0127643396639975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.18411180386186 1.11946364747601 61.2494536213026 14.7115273682557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.358632717618207 0.335125781668683 4.09163717904071 1.65605757785637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.172652104980963 0.154983052554042 0.845762446747868 0.294666043430295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103015047304507 0.0902698062634551 0.312246529471888 0.0925991814290057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.755537394409978 0.753934533492908 9.19599263784862 29.2086726029215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.246016315488009 0.237990458114986 1.06773295287295 4.34996152839502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.126513607830236 0.12470115973003 0.205046694478024 1.64381715925584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0806989917493352 0.0797213329146417 0.0895714401353096 0.763052455149421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.815208353569534 0.807730460743846 16.6994167059155 50.461690495701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.195642492085376 0.174937370791547 1.1921242185216 0.61513438580205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.107846027648038 0.0918638853849357 0.554772654903882 0.170063338145236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0794070847543283 0.0670985244209058 0.162752252258229 0.0715836358132855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.24780148482661 2.62191608076628 28777.738749621 1936.59396018581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.29935131811755 0.798095217726274 12455.3936168882 251.348679231091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.743459961494607 0.389802621726502 5758.43696357612 97.761907422474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.501689326249349 0.234147225542295 3084.54053897898 44.1923055093857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 62.7800826907877 12.2451816403616 135204466.750867 4152753.89728725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.505287166852706 5.25765542079606 9.22498440635218 480624.281140334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.258102133564367 5.67603887846824 1.21180783282183 601098.49846827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16394668069705 3.99672620685998 0.490463151450364 307783.806701085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.0140582060152 249.444949959654 2520100.59265605 2213165480.99934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 19.6878625144465 4.66687100865676 9253514.33637034 634892.340739504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.95887977987906 3.02307138610285 109302.142174891 273405.434061704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 20.5134550393853 0.191444176914331 13093005.421448 78.2937628295169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.21874052453292 8.08449506735248 7552.25918678851 4424.53717238247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.75621145760273 2.60705125153463 3089.2101485141 1568.18935041571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.40142114359158 1.18937979556958 895.242291345954 122.476298809485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.936767335478327 0.703625673451369 776.318697551098 64.9156260117966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.9137746481816 15.0267756194588 467305.054774679 1171117.95424392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.78925013751277 7.36055868938128 113859.964334701 359696.423756337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.66896070991115 4.10343555451789 38212.2234918224 100764.570206299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.7937067750998 1.37658543798331 20011.4107550402 7229.04501367429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 22.5837667597468 35.1032484758892 2187828.27121191 16377986.501984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.78904083025011 19.2155047094794 92368.8576795867 5926756.72768635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.57660158421834 2.13779259806853 52339.9512944942 26233.0375759905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.59974989282396 2.09034019169449 23137.0394541104 25302.8479118827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.9613577277142 16.0115041285638 16588.6000491594 89705.6184176484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.90527772293575 6.49494898667386 5368.59942628193 46033.7071354806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.69853991194189 3.96911893680819 3232.27259758154 31403.2291574228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.85458934556345 2.87673427405901 2505.42868747266 23424.7243533348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.1940850340839 27.7467955755065 724243.73441897 3911291.53669899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.90983270385809 17.9549889327269 168965.265133805 3106640.32162512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.74621323766661 14.0542529673894 223466.709317724 3073386.61132993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.7261768923555 8.77429738944497 1085287.10217415 1075124.5419512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 195.974977710944 26.6788492286469 617975923.015732 3846284.04792782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.8717178766862 50.6507647042897 2131690.12393376 41503898.2109084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 23.5025943482533 5.7379468538218 11096757.1811303 285946.564807528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.20658972625793 45.1586282703034 1145168.12322932 51382765.3001385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.95852332032539 1.81384551417652 69.2957094287833 30.4357044260462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.591906232037808 0.535501768725311 6.55964728565542 2.6268022293981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.281636300591677 0.246205257356081 1.23413144494965 0.51981039348862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.16655785208736 0.143785635384181 0.373237648116977 0.179927751075392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.2774363458215 1.17227464982299 62.3490377545896 15.6532841892542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.411681939665503 0.368478133349515 6.61762896456295 1.94695681695591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.215965663839576 0.187789154734787 1.93787172807602 0.780887990034167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.134433017465445 0.119857851047227 0.404231183729248 0.28461478957779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36119323480725 1.24970548739297 200.451269763697 18.7779795934205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.308236043432452 0.285315244305527 1.59947853176593 1.65971453355683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.165630907050295 0.147630135591752 0.357625342978653 0.330938141514828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.122918546562355 0.110569354816145 0.222758989244108 0.224215561468843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.85446644184014 3.90539214297921 9787.62860690139 457.945419136622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.37826100741973 1.19399114188739 818.48505060988 67.8513487115902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.662457627806916 0.594221340246772 200.519448292089 106.522844548272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.371332373155797 0.381029970241533 26.6723549845624 136.612832806065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 16.4107633325727 3.84849088156851 3225701.62625636 67281.8581421849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.30855191189021 1.58130182337789 126752.978392373 15126.4089597091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.42488113208993 1.31807110123713 31373.5593664572 13106.1591956854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.492431199554945 2.25478329221457 1287.99302063918 82894.5721946326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4471.93188375322 3.43810259855943 719156351549.223 12719.0300324635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 37.2670915005317 1.22140350230464 45596199.0409976 5336.14921156418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 15.4460029546903 0.336546226917009 7541325.84809045 14.112460580891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.583877392410376 9.18190974868605 2878.00718586454 2557899.89712089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.63065751149635 8.24665758075647 3265.74622132509 2133.80098108438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.71103858311528 2.80035163812841 633.329804871323 1413.56067500019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.35253547935396 1.46930292715303 332.186493654841 996.230850295947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.839151269669562 0.954042349372665 254.384110033023 687.04274666816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.0367073222272 11.9645348004456 202706.807789635 967358.927101259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.82358207880937 3.15441595789478 82040.0118176718 35244.5961219083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.28953268478058 1.84809455921276 36549.6925219109 16687.4420024833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.31748106334562 1.4290639020793 9734.32072774451 13383.1355539799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.4965529494871 11.0110029652121 1293868.97536952 762711.566289159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.2685177298901 2.01197663780076 64493.6554785579 6022.89048546692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.35874648752415 1.08515781492252 161176.712903712 1140.25470249088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.81526401880328 0.774040360016992 82481.6820841399 734.123545270941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 28.1211945512361 26.9649529648784 25552.9714516349 17437.5190468421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 10.3366002829926 9.94436421547377 9761.82484433031 5774.27218765545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.93728805537169 5.42162526742707 7654.66931515177 2894.26511018365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.15104161929263 3.63574448260362 7744.70054947047 1923.03877273765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 32.9512792665113 32.7926051047042 231482.378194864 296231.052138342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 14.6399856846281 18.8824352253646 136377.579307241 352806.200724354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 10.0752524618273 11.9015942895079 169459.392514286 271419.796652704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.61768020878772 7.71087334500225 136152.275508112 149712.150885835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 99.5946336670467 66.9819147258373 33576486.1580672 5911989.32154237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 32.6636365760217 179.202747367431 8384456.30718216 890482936.011791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.205475455476 15.0276639851871 199843.671794799 1305926.58567111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.21745119986609 9.6099154542051 284747.522062604 186512.931429493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 44.8817828206416 45.0112905081236 43098.2481841318 51126.1866069934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 17.7096653250207 18.0483774378921 16859.1889334494 26760.3593228187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.7116641904755 10.9186851177619 12684.5554471417 18980.1444038218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.74774844289096 7.97309516389637 10757.7608550969 14272.2796230083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 59.9852046984511 59.3944021354597 389088.223408001 376377.344656504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 33.4105426276971 34.1031462180056 346259.41290797 326168.792374422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.4539416667657 28.6545462679833 343587.14625471 435570.723098301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 20.5296046259699 25.2934037957639 296732.816379004 462777.220420694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 233.624562022239 171.457251404141 115394210.043021 17948588.3021587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 92.3695062246744 105.269574529469 19884405.8430532 31320646.2980505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 44.4662711714394 69.1263096166594 4038579.32585123 10717261.8829395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 613.0169371157 44.8670562762741 11315299494.5612 4933960.15861428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00846383345986323 0.0177726643062242 0.000212461173087739 0.00182124631271767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00254320536074807 0.00490784518499615 1.78754941080857E-05 0.000131422252310815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00147471076106589 0.0022755013433167 5.63492442897462E-06 2.70271708480029E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00123888744982832 0.00138066291956705 4.22030970497672E-06 9.6315474072736E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00574504401838672 0.0128852779875757 0.000138011254736932 0.000608354986538237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00310782021393073 0.00515212114112677 3.66298269984772E-05 9.10606864614208E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00325348975675409 0.00351383100281172 5.2565945836902E-05 6.78085790018563E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0042325554881476 0.0042038225787919 0.000154493812756807 0.000294857252940131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0056052757851686 0.0122007094292107 0.000155011351851231 0.000621695356772289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00163211623337211 0.00367911350637029 1.06840070311435E-05 4.44455305994023E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000963468625005079 0.00216291426162714 4.2456850931684E-06 1.74635964229424E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000832341307646929 0.00168909398830162 6.31803557080084E-06 1.81388724679517E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.513269832774242 0.590729014978846 3.51133573259386 3.72027339275411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137224764461737 0.192025690152443 0.230698160407823 0.303459609942455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.059042827065099 0.0953534767560867 0.0391337919601465 0.0619551024803924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0330793178685149 0.0577338545028968 0.0117835177356117 0.0201691216290119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.317181742775639 0.3890629848305 1.70260272516292 1.34830321921274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.088571573566587 0.133559438102097 0.149652057963977 0.155854993243082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0441366526384266 0.0715588680027689 0.0431884321589636 0.0494320251252611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0278722317005282 0.0472550213660929 0.0163519711223922 0.0196205789293881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.340531770864308 0.406483964880825 1.85111940285029 1.78681549946214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0650958456498067 0.102744211321805 0.0664412993116583 0.0797915403826435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0353063539950908 0.0585837976018832 0.0348884736228789 0.0313819044596184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293043173899373 0.0439329162406023 0.052943593640253 0.0200277508212163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.08802830586061 1.18083847477181 17.0173719237996 15.1935334288374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.300473804261047 0.374108100888448 1.28912163961192 1.23100875842807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.128861192841515 0.185048944067114 0.228170167607728 0.249954038825754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0712456094876853 0.112795282944629 0.0693915516227581 0.0816844476640263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.684414476966197 0.763180363134657 8.58118647586488 6.25913494792624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.193584976033863 0.259951076724647 0.667651213963351 0.795913403209459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.095712294869026 0.139669578970809 0.203384902389537 0.283400558430105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0592648877499994 0.0912982902113036 0.0788020854044302 0.100827590981762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.741441757919317 0.814273595831626 8.44535343261968 7.69201043087878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.146380858109232 0.199795238047141 0.372530307097921 0.318472550668384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0781045003499799 0.113662294743996 0.171997134413475 0.134463882946452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.064028625310947 0.0861160936424552 0.227890756221678 0.0911588848231978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.34562312558961 2.44881979705033 197.697528917038 125.090846030168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.675385847803347 0.758699513296189 17.2779927566411 12.4751725085189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.299916380918 0.37211340052588 6.97560758117788 4.4331665041042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.169592992596059 0.22903203805238 4.66520501066276 2.96322005522894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.59970194114735 1.69605737926242 552.144075768648 658.703415307163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.428948246414457 0.59725186825767 3.65888323400137 136.391583048871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.21544831505599 0.326544407673567 1.48056362796929 63.6039490600949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.132482046661649 0.208965658441408 0.58154147208536 20.3825722802494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.65841644831426 1.71705913620435 142.88466227791 69.1807409020198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.399737477202347 0.403744800935614 59.0535104071642 2.3135472046746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.211801236159283 0.226705306087469 17.6957055965962 0.877975741426901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.172388712147387 0.176747688055882 10.2638920651206 0.837084557300527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.93874313189857 8.10073975507436 6404.34834023372 6582.93586633511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.68351593274993 2.72960518734332 2420.92129405792 1641.13030555761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.37194475248638 1.35821310929211 1369.12882785202 341.807501716214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.886174444808174 0.854280263851048 992.588297481455 209.245097378074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.94294430115409 9.98174867971942 450042.525062253 668889.233323577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.86020232988096 2.98845766152484 307874.149398057 45715.3609918765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.80750974422865 0.931442970185625 185001.322636658 79.0802348009063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.20703770491544 0.630669637252718 72817.1910612703 141.205017982333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.73713747167047 11.591191664693 214051.716283417 873598.41834408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.431163517599 5.86984862481753 403.543800227988 387980.275958821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.847328497847494 0.984309830740244 257.501297901741 711.225988460782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.99055490595165 2.03784039236645 4420.90050648846 65257.8071354872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.3719974109182 13.4072117985075 8289.94163614354 5950.89333939584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.44875346874428 4.62937872335241 1892.4186837171 2209.36944582512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.28403425466718 2.50886885475263 1189.27987867363 1472.00344572919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.46257097616524 1.6258168781183 815.757408083517 921.453333482411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.6735918605768 25.4091664747186 158598.302550474 3313126.32709314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.00392403543189 10.0596368285555 17767.2171900555 671366.665293778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.00290717020803 6.46284534253468 2845.50699142935 320843.111445454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.13889859851775 4.57736711440634 477.455359267479 142141.625531398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.6592245028822 20.1031333024707 223214.34557198 1306073.70622342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.44646065032357 14.7194194914156 54937.3980121521 4361308.19732429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.69136205743161 3.45460849823461 1389644.03708656 125007.845587354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.07532549876619 22.7683385483188 35079.8509519597 16916420.7267286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.8155357817476 2.35410157212113 37.2752215462157 3473.44127573389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.522137310391058 0.63589368236317 11.2569835763052 42.0450328827829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233941557929409 0.303256253588881 8.72600853176525 3.22080983287466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.13153677044679 0.1857975254651 4.49706058213176 1.88057643231556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.16234303814263 1.41957184520535 41.5918426321877 846.89920261224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.437365531769864 0.410496672527907 304.091540026263 2.60019650529235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.191668349501349 0.227124203213346 19.0515128555558 6.02709319890287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119309475273628 0.153965616209967 10.0659866573472 5.89014360801484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.28883680464415 1.43334524625439 44.0638550946961 184.888786691586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.31145882650621 0.357212697148875 104.639890901894 44.1308249067442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.164432758741791 0.206714299923851 34.0127507172443 17.120234790538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.125416524993703 0.162966861780037 14.9150071340068 18.7193096625222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.52958376376071 4.64030747502259 20202.6666535522 14840.5987152232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.35560235228999 1.70194886487595 2257.88032640065 7844.09838073686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.663352135877803 0.944710726500867 950.249680120254 4151.20042478412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.428082723871453 0.681519815751687 715.316915031349 3458.71358211233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.5850648400675 23.569334188941 3365023.19876007 15175235.239098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.1963356751843 1.03336584017632 3721156.82232593 1871.55816936644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.52586344895382 0.491465271847558 1188689.63588432 153.999071969213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.8776363539415 0.34719031913265 266507.967908713 168.047075828402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.29755627435777 348.198364719859 9360.94803797899 3648378110.76539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.58436815255159 3.27139575966019 35784.9153186669 225060.831057263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.1324242630763 2.68908679429944 2814050.21562974 184399.972918987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.42298748227802 2.56948436636884 49618.1410182133 182419.083694101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.78330168707416 8.28379111664141 785.34546220696 1536.57793618225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.37131117949107 2.62800880805109 105.971299577414 317.953123147565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.10302485727137 1.28844463579957 42.2584439337375 145.678462124352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.644189509176647 0.785822462175918 29.1517907175965 79.4460840405299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.67714328866489 5.75757761242997 27777.6375487934 4619.62669500414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.88963564008077 1.94097869689026 678.972400335412 1624.9041057428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.910179832473852 1.10618332369555 148.362673669902 632.690700783507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558659932342619 0.787508670749378 62.4822028679709 551.228354493822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.62897504389848 7.72191574276072 11123.4544826126 61768.7357417038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.39028433880717 1.89167782679577 160.123872861608 7870.68926269755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.767432077196113 1.03219550361523 62.6280255247411 2073.64784506321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.584965881606869 0.726537801746694 46.0252528645936 746.76786617337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 25.585637273301 26.9908742101977 15173.8906858093 30631.6648833472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.89035612612138 9.94027674796743 5142.98195754388 7560.23523212111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.83708351103543 5.58677983774974 3893.22891320935 4190.427932378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.28450910897385 3.85700596934974 3403.66396548717 2949.15005334918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 39.7970842668681 40.089673323174 1031450.31200325 910488.072252777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 23.0634894948016 24.8497155561888 1020391.69421113 811069.813259636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.9061386617236 14.2945329611188 1396276.57768419 422942.121326154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.9688544558182 11.309874109852 1379446.22695806 327549.380544706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 103.650811306499 862.645143301919 27401926.2289377 21019703892.7856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 24.297189122373 94.3768122188195 1165432.66017756 129842037.206695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 183.329531378005 28.3594393728848 784433928.589647 7611548.73568028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1295.44574438652 10.729214632168 53105850356.096 311576.014225946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 45.5345672077743 45.9616237447476 69156.1943688188 51870.5164935002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 17.6093874826516 18.8067042235561 23237.4371051194 24984.2804960517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.6528003722106 11.7389599665381 18008.0019530171 20024.8246809694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.78558367164801 8.61999949990151 15413.3662370416 15268.4353012243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 59.9571985391213 75.5735799063855 665728.273165248 1044622.51311074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 39.4742720377159 42.4512062109254 740508.826468012 641809.846005378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 32.8936135376523 34.88593709421 839116.446705841 807472.239542017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 25.3801176215238 35.1594346834026 796788.696180744 1114740.37889668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 363.51215935627 289.135756314492 1168265244.5917 137209166.106377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 141.479469863727 204.756233972369 90858237.9981005 170613740.004927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 65.7135343976205 124.54720855837 4996795.2616386 130409681.949814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 81.761829440921 1748.16016949963 34848779.2433811 103102838714.605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0755716412865074 0.0811207101481059 0.0130468521169122 0.0373846505219442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0205072105708578 0.0219924870291943 0.000973935361834103 0.00255427733654929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00952381633881433 0.0101826406369286 0.000211581688407237 0.000520562190004894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00591544532822265 0.00633356236953247 8.81216389803442E-05 0.000186816806827454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.054498960662038 0.0594815461358416 0.00998038563446312 0.0118812200475107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0208889135440639 0.0226880528453376 0.00156118150263506 0.00163004770226805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0122792964146013 0.0134199777903284 0.000551423720683509 0.000587853647565141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0103418568700686 0.0114285789207507 0.000590904337813932 0.000593741934267553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0538292018582394 0.0580665065363461 0.0109111485238773 0.0147714405848727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0157132967597279 0.0168174609670781 0.000775822300255652 0.000917358123813515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00921453392626571 0.00981293308957506 0.000280965176030194 0.000315025133519229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00743419643249764 0.00786233806805271 0.000369695908614435 0.000334105054154628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.548738973644014 0.571083592505673 3.3361486763081 3.3005031723326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.163364991654631 0.173126960782238 0.220371595512491 0.241087621495624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0765270257336546 0.0820022854907507 0.0373159910572691 0.0502819122871882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0450980128446922 0.0485073907047458 0.0116216942467628 0.0166190025350784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.357605746011153 0.370557635953564 2.21583158505114 1.51110122119308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113697302922643 0.121319018713261 0.212430305979877 0.179372052657638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0589590054880315 0.0626072951298474 0.056954388673898 0.0426574840237612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.039287152988789 0.0415064457453934 0.0242902166780481 0.017473111779033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.369967951812564 0.387878620138233 3.05363671605648 2.39422102985223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0850063091274591 0.0903355758857874 0.0866424703700262 0.0910898737160174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0460420918895706 0.0498269247880454 0.0183351307109897 0.0209794472976347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0374591083558084 0.0386686616547023 0.0300631521950349 0.0157896288686731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11237690718067 1.14133169714664 18.7974324259367 14.0347212659435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.327250307599367 0.344670050613236 1.16990733194123 1.1215482586239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.153260298227022 0.163647131491672 0.198171861685401 0.233007663814037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0900110271020157 0.0964508372590395 0.0623166706094013 0.0775001573890762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.721109696635242 0.743386825217758 12.0706095958928 10.9104269416453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.227827475873433 0.241238793142149 1.48660358099369 1.22521807970855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.117247134178415 0.122891530111538 0.418079463491323 0.246307408925393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.075824810326767 0.0792514612232467 0.146287776862286 0.0920118856229757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.757754887476054 0.787259117722788 15.9656403176155 11.2525200467049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.16992030883856 0.179307622996417 0.586337587970386 0.638380125662268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0904341737811567 0.0993115302577443 0.0992694641742123 0.167153147355235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0735364236702109 0.0774136126848313 0.1491084675192 0.11105854916557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.30482850549455 2.34816151487526 124.311018355471 98.2331174791373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.687890919377548 0.711586640558407 35.6224107913762 20.1027781757232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334241173602326 0.344182530765406 28.8646725398543 12.0074244946779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.205683795739021 0.209711446589594 25.2564586880994 10.7862280379752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.64715956777937 1.71693023833087 1529.49749097879 2089.30277560763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.512235968599834 0.567283098377887 132.373644154235 309.075467364772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.267801728706005 0.264244246385636 47.9121402685501 17.175828307987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.163170437638697 0.175701321225703 8.3591864598337 14.4347537926784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.7066554325343 1.79638500834465 745.281623606737 716.600126032854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.35245998436746 0.41287749015587 5.41781672207957 56.9677071026953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.183696329120345 0.202340996229261 0.727554236758786 1.23549843820988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.145924650750336 0.153357564902629 0.52852361981801 0.471007350259156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.33386571990001 7.37554717602114 980.780908572808 815.130808179919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.25287346561508 2.24487247390388 243.455522776465 148.406803902376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.10697255270527 1.08932795337416 148.224770207935 74.4538613204093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.687702069053451 0.660834060406093 114.488189878135 45.2068986545875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.25964264645976 5.96665987977529 7033.0748566224 15761.9434359689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.08636089001567 1.68438868305589 3837.7928525442 443.630296069956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0698177018128 0.843272559367047 977.985756989387 93.9703064506975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.684228810142954 0.543565079343619 401.369944358739 45.4502983784698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.37783519081603 5.7306471488286 1138.5271760513 3197.72254711899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.22681086898255 1.35924825470642 153.502960853189 515.928015081017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.642927822470769 0.746319341815442 33.3391259240759 171.792790996915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.540445091440821 0.76350705575056 20.2002658122592 302.280043990728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.3139418744049 13.1968958247445 8890.13212703549 6267.878565647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.56444213559667 4.30244528945967 7466.56620003229 2113.69146712828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.5384018198604 2.29466476535407 6659.28123912919 1142.60963487639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.68766443555197 1.50618755113287 4211.01713868278 683.821482304613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 23.0315153266088 67.7913961254074 2026598.46106698 19997958.6595692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.42212407020156 20.4705068889319 173214.311609739 2142920.80920376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.2193472617626 8.02409879309499 89552.1919470042 362977.245314699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.65869629116954 4.82249715140805 41096.2578361621 133010.565386277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 62.4084068955504 70.885074265929 48869684.9878063 32127451.4129309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 36.640001715821 36.8170735870569 17260662.5703853 16291537.0750465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 129.034452273761 10.9580115744303 573496969.761499 474559.578926827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 49.6216444992839 4.1548790050326 45314733.9171258 78590.1635344893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.92741066036206 1.85840663378172 150.200427995112 45.9136445034618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.566256713316556 0.554228975028336 9.15792272050667 3.31791822388025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.261784265732031 0.262281778067116 1.89850359088868 0.724683268259903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.152536963554596 0.154801619347939 0.57199159530292 0.232972814781573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.20198278544756 1.22081593829096 55.3751373218737 29.019275569294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.382562079375349 0.39492088460011 8.4701492451574 4.55678605967975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.196317249961191 0.20349281076504 1.88699720855221 0.992801859593079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.127096968253085 0.132817616573074 0.781073348472475 0.492058621746228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.28671446837153 1.33826427676915 48.2437937302791 45.4319046010648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.288510867891435 0.301453231178648 2.36821644386751 3.25145881888865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.155321900707809 0.164743739459221 0.561769204742017 0.712114470981203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117317059495627 0.123820623716204 0.320725221469284 0.303637108685467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.02281179204353 4.05464192075242 759.668020767429 2304.14932323614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.2804522329773 1.22915980868315 462.978634912404 350.281091774687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.624317944623111 0.58360058049739 227.51653944559 90.6050171149199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.375196852183381 0.343365773119507 115.184447093921 26.8051376872279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.47312264966338 2.85548185701752 220.3656982524 3454.37288062287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.78223349801438 0.958282893927337 28.6446151508448 778.182470518796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405517196181425 0.443849719170586 8.38938506134023 45.9863129357347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.263217124256696 0.282496054985914 4.04716321382125 11.5085381327667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.89982529220358 2.78333070116607 1621.6989229196 206.107069316309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.605540530975289 0.606606705797149 16.6862260773912 9.44157686412968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.319280206660769 0.372798296030181 2.55593686187277 40.4344935740338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.238806604209067 0.302311250560221 1.19241813241293 54.8432554770605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.75678708399998 9.40825407923683 4876.60716774791 17360.9095739917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.85771089920845 3.29251075982785 1959.10844431141 6116.45000906509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.52717788215298 1.76522526886258 1348.74549040504 2405.91555984183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.01070643703117 1.21877636463351 972.672240614777 1772.61698521271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 28.2693636575964 36.0970837403965 14196312.0854675 16569137.9102759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.94668445559874 6.83082984307232 2173553.75230764 451208.312657442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.30024615085606 4.47527456824717 604128.551122777 187483.426882606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.32764797739476 2.3102590304444 227802.847719699 40822.5770710549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 394.656742571128 8.4427529082482 3755813265.86906 18397.1315041941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 43.6713549510575 48.064731633334 63017491.932143 47635784.8382125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.4840843832068 78.7758936974818 718241.617326151 218056913.484325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.6835578870341 1.55729873487418 3408006.54921005 11220.3966325441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 29.8331906275128 26.6416868558443 350281.390456932 16550.8747363249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 11.9443994974165 9.18469775009591 249382.010420575 5355.46123122916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 7.44008105613409 5.07088640240969 180657.580110462 3302.67273009785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.14787368607301 3.55166524465022 94357.6615612284 2758.75768257247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 70.7889282230085 47.277996507539 10519213.9186362 3647592.53944073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 43.6792204367409 22.2423332520877 3495224.71674652 1086164.3492269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 26.668687556765 11.4139310665371 1263079.71668899 430610.586550003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.9821194326519 8.37880500978213 579287.942882963 233502.832551453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 649.799459370761 106.080286368988 5225842748.77432 21132754.5747248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 66.2156399935167 309.601163923017 44765359.1854924 1198569694.43665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 60.5017511794197 56.135448067355 16771270.6950991 18133060.3778063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 65.0229871243864 31.9853874552983 67776585.206663 2970207.71089911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 45.1991630370561 46.9593746014326 45944.4142425332 66778.3866281365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 17.3658534580335 17.7663993145196 19674.5216057222 22928.5325367329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.375842355271 10.3015667767293 15315.3924191617 12029.3901910589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.65152697941319 7.34000773612997 13795.6655975166 8038.99649945206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 63.2535775365018 72.2475028242026 836999.058919406 1300110.05665766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 36.3295764149524 38.0433610650432 753761.066850383 790525.911321339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 26.6970745940811 26.2210870079756 600753.72489278 533267.765680904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 17.2138757367795 19.1288424778971 269265.274555953 344903.069583114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 160.584973265592 174.34527834629 20271361.1753565 22365247.6611067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 179.390879144167 122.135813908085 153566660.125878 64449193.2061999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 702.933207176741 149.896522550603 14272837922.4133 93990108.7771828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 54.0339818881791 38.024661438315 9196711.81023341 5144133.28412661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0317044133301569 0.0387569522873293 0.00242633450050732 0.00815637636151627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00876419638588289 0.0106806752364873 0.000186010218564773 0.000589307970723676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0041601486177036 0.00497047346743694 4.18303887303655E-05 0.000122718425007405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00267533537193317 0.00306066150373009 1.86541966822374E-05 4.55945885446494E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0228347506684208 0.0285974989812884 0.00182203436100781 0.00277895493074776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00873303086049381 0.0109241937933421 0.000279017337752963 0.000391978094731253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00531038532419815 0.0064242822838836 0.000102557687679749 0.000143573425247034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0045291199502892 0.00525738401391489 8.17543505968222E-05 0.000195010016827146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0230749255455936 0.0285717814808424 0.00214694601575985 0.00351950832647708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00667537713608592 0.00837841262469537 0.000144733985311255 0.000226498219063113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00392613784278278 0.00484493068574914 5.8332084047449E-05 7.9468022137441E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00312486029479611 0.00365928323413989 5.11409323557748E-05 5.50961633054758E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.537565704099176 0.559292308006919 8.94377674289425 6.39302140882966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.15663358647393 0.175358691811697 0.508314370235959 0.912604958420762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.07392249881691 0.0835918993591479 0.147217932424963 0.183489549822579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0428664978687576 0.049916689223066 0.0255056947517613 0.110238817983196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.344813425744534 0.389128908626493 10.3291734988182 12.0035721722407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108873146432665 0.123097632281506 1.57526494562464 0.439717920797546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0567650471578957 0.0647124881175365 0.365942974868628 0.154690289020972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.035368110727308 0.0426005658159296 0.0712735324072306 0.113859353726282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.356419760415001 0.397127658276359 5.08368154743726 12.2593929773661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.077515112215803 0.0946737982763992 0.100047429206139 0.536101394411303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0424080609100145 0.05005516834153 0.0417108581108676 0.0311000230925889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.031535731184234 0.037341749771664 0.0198837367346776 0.0413073388610647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.10107545042755 1.11829649308464 21.8821996143545 14.6385958672169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.322692185174979 0.348153648369092 2.9190803052526 2.85859276028752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.151692614468184 0.167771872947626 1.26814615617276 1.15222567734252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0883959943961356 0.100597323703795 0.377898611446695 0.753603954976651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.711273314887921 0.779509440611752 50.4489559540553 62.9820565098944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.223092767237645 0.245084811778118 8.05342377139264 2.01424276521202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.115178627092759 0.127730370488317 1.7938863843323 0.598466149139773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0715706894776895 0.0833855117905438 0.488515039393239 0.473980297397207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.747338781605967 0.807317670195229 23.5830954464294 61.253805021475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.158033439547231 0.192065277950354 0.357330935235589 3.43068849575097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0843402306648973 0.100778663837099 0.0957145923091019 0.301546198677813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0623849983200137 0.0751560021143013 0.0491822550713202 0.410997462427071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.29076577634226 2.27698524004674 90.548018579548 51.506394120503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.665367503749146 0.692104635338833 7.80220784161534 4.22319811047748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.305604444627505 0.328850887546088 1.85309911719476 0.887444168319217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.176161546630857 0.194741354346264 0.597092166716622 0.290489945167693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.42554374363615 1.50522196666504 38.3398684495628 31.4269604612507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.439401681008299 0.484483954930104 4.4796968302357 3.40292302329327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.226086477585219 0.251304660342068 1.29251357856078 0.981198988602517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.141088930841485 0.161433128854079 0.464637932302222 0.420655383207259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.54921970101639 1.58886802771105 55.0702920543076 42.0838758732951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.331199962409296 0.368790075962737 1.5206069217943 1.65253255234117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.172587993896489 0.195510233402013 0.361761539832205 0.37518118602614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.127428576232808 0.144056739333816 0.219589175498947 0.218719139569088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.43254717847558 7.96961963556187 7138.35379785741 6443.44650284718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.61634513577919 2.52183286307231 713.87939713985 642.006465600576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.35825374082654 1.30382259105805 509.529789280754 336.547110653286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.876603833607704 0.822184782476348 422.414492348819 196.774816239718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.27312858536932 18.1341282665041 9622.03413281288 4935788.16535383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.97676873937097 5.59588625853996 1160.72699243127 396695.603881831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0036718504324 2.77078477927583 332.354507490066 82709.5970872872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.581864664308875 1.42927713334881 86.0145838658095 10781.7870421257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.96148878335634 10.8785089620383 15465.4426353968 835446.296443841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.8168189851439 1.62477492337006 3887.18993562731 680.418045233642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.737960521867998 1.31088565883346 73.4470182475395 12785.3686978795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.608228145255405 4.99182210578895 64.6736468992182 713043.682233575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.8452085902155 14.0042271688432 9367.72111435364 7029.24608872776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.99687393327698 4.91194003551445 4254.6033867774 3262.66088571714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.85301431318766 2.77638091173963 2611.93106451349 2876.21579431034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.99860045181949 1.96461966443119 1776.94594056476 2798.544995279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 33.1424088036065 42.9311936546704 3508115.37963077 5564580.96204442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 23.7897179289612 22.030851064083 2433945.53222565 3811590.22492166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.1314929464363 11.2575431070776 1277055.31839679 1383037.67921913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 10.5112680897137 7.53469634209269 729794.444263807 643533.011905563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 371.91877110699 202.599162241128 3216154897.92593 1067167563.97035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 17.8378853864134 49.4142586868491 2991622.29725378 25851959.4230529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 17.8096893964783 96.7729167178958 4045672.3707799 116814062.631246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.8266417401141 47.8100067997162 1687634.00800341 50923030.148778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.80130689332426 1.85198946407977 46.4231514679408 42.1313593809221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.521155121716796 0.563804229223929 3.41716583478763 6.15051172951823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237631704377402 0.270116683885916 0.621475810181633 2.11031054650349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.136950164957736 0.160718542191058 0.165761941998331 0.829282461649227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.14317497766036 1.21493549315536 29.2185992548958 18.8824101758308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.36049990291664 0.387251356280957 6.02863282936012 1.7785681234394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.188682286088382 0.19913267712193 2.27045799104236 0.454948019897426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.120456275943469 0.126420615084864 1.04239300031921 0.173453480984701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.23994357405249 1.27180635655937 27.450912274266 26.1547530450902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.257055931997736 0.299808181359579 0.913397369256766 2.09469319968767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.135906672631387 0.162075400451755 0.222510606906452 0.483719020083951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.104382336708411 0.117173716031473 0.207801527734053 0.260614133797485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.7647474060199 3.83948422339912 220.207044886568 204.936138596009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.10340005508024 1.16316725986495 20.0262441744611 29.8887776097062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.505373233125407 0.558519325374896 4.95956958422838 13.619700196846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.291558691225198 0.335330547847085 2.09549136219811 9.59631607047401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.5213744330434 2.54265036621248 825.173629719842 153.113564888298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.836132342484716 0.806409920482038 259.224774495693 15.4349918110339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.444984228333555 0.41005322344134 106.765808884572 3.33537423798091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.288896934452634 0.259420549836491 51.3836887582733 1.21363608113271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.73448282291421 2.71431808894162 315.406189826819 242.759892459279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.558569465629427 0.661969167480995 5.81182243988983 93.3363279861497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.290115588337847 0.34544587043925 1.89034014039509 16.044383170829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.22749185240683 0.244694780520502 3.60175898432919 4.26699801532326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.22612949308269 9.6577175482752 19914.1678780935 32271.7025608432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.1414492192131 3.45793596058454 5857.36844672868 12021.7115294966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.82183568951093 1.92400322825938 4510.21044443453 5659.36297529416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.30808582195114 1.25743308966802 3929.96622586333 2854.05885903122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.75866339054478 31.3390472932962 47900.4793925695 7761269.32539452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.92390053058502 18.6955837679516 1261769.4422975 3280932.29947165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.57776973340719 5.73665600174218 1019849.99380423 302865.996244617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.35220699777711 2.41969065838306 968314.13532247 53061.3212733587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 297.879574974369 18.7175405017045 2551589666.50488 3021877.3815988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 98.0114918829081 12.7510874942629 175997178.150833 2507747.66715687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 118.313337964063 11.5533131261192 475032827.561351 1950785.26672802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.45080863176381 1.39972210247755 85924.4568910573 6189.14267563465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 26.2964223350844 27.0884121165786 17798.2464132505 41450.0975737492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.67068078679065 10.3804216625028 7618.82657891799 21714.7197007768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.52843148949158 6.23252048029331 5590.35601433641 17227.7803105039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.86184961737417 4.57848295468813 4371.93068820795 14557.730541043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 40.3362460605807 51.1173312469983 776102.81495775 1638560.14052817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.0044938485319 29.1396222506901 314026.85366028 975939.862454312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 14.2887244292108 20.9701560114978 250733.670840619 1216634.76011064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.3766396606825 11.0251606595571 209246.977898667 317412.802489023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 121.971745948372 101.756817093064 44034743.1214795 17613892.9002214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 71.6597312975491 64.2252695491118 52192548.0209023 21965787.6802794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 29.5151991936977 67.2529328262208 10290966.072011 49827612.9315353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 13.465167564617 46.4371011187802 481676.610011163 22912756.8890803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 42.3753677772397 43.2724832458821 37256.0252091251 40199.9385108287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 16.8012069192012 16.7855034155003 16654.4498413631 14639.3741815693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.0841569070908 10.0027230249268 11903.9276255827 10544.9655567061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.31372921027787 7.18640509540717 9874.64928282531 8694.48839233606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 64.2623822397514 67.4553964621007 794630.534014456 975015.727635363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 41.6845378089069 34.746059115082 639273.18239215 496915.631956517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 32.2830010002038 27.6289605478393 668752.527265755 585149.698814699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 23.5426267981943 20.3228315327767 483289.043169039 438414.885657342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 305.523733111552 153.160219565557 466418813.909164 18593584.2384086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 159.915062700327 57.2757248615889 144743956.274983 3403900.77716771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 74.0294557471999 110.311190077265 28581713.295155 70735540.1542447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 29.9954455005379 159.710561679671 1244502.95409424 522442337.640289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0422219774912712 0.0471811574178855 0.00398337387255066 0.0127218432367569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0115226478902197 0.0128052989916264 0.000301010225589416 0.000883261227752795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00536041680330096 0.00597804256161922 6.70726265551084E-05 0.000183081318052254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00330334218954272 0.00368863835493137 2.76296160449637E-05 6.69404890779395E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0304623121323115 0.0342339954058416 0.00313007894553532 0.00398530777597827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0116722853301776 0.0130051149333616 0.000486365876556277 0.000552127204373862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00686492237828098 0.00763530872780314 0.000170117528788816 0.000193980348246036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00571178566680179 0.00600800412927051 0.000151229521941137 0.000131568021985825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0302668300881132 0.0339826878044764 0.00354398502259416 0.00493344017096512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0088886519112411 0.00979060389942311 0.000251954125961317 0.000314554818006557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0051710125582269 0.00578363898598264 8.71418995996258E-05 0.000115562549235904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00399229948516146 0.00451484353253958 8.63809022266312E-05 9.7991309985257E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.530003623467932 0.560644058446915 7.48380806485858 4.53628956552758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154820916546625 0.168677126009871 0.305117257319808 0.287704114094525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0722393272942602 0.0798100357102901 0.050699425163433 0.0527574485063872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0425459313690769 0.0474239395850678 0.0149272275743571 0.0181954046058708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.341168905773555 0.364587913322245 2.08563853230865 1.99645395470062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10914073107468 0.116500962954112 0.29019403268668 0.226541650174841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.05676717578578 0.0622708361698608 0.102002026721554 0.0751936943303969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0369797907914839 0.0398699838472026 0.039045866236087 0.0222182983737493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.358555061002146 0.370378596168409 3.30867920670863 2.24854159352235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0796566950623622 0.0860497064707528 0.0853053637118617 0.0933346156600597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0431917504146699 0.0475869051673504 0.0246449449355361 0.0321805012950755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.033076973332102 0.037070724618785 0.0184636369700592 0.0252483981127946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.09341854603768 1.1367163519148 33.4569458826244 20.4978646440744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.316714987448602 0.33909472889718 1.56092660095195 1.35570049213833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.14635098172446 0.160307291555338 0.266527833811422 0.256039986535126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0855807231807514 0.0951012644582881 0.0780085123728314 0.0893238844288432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.708038556592203 0.733674833297379 13.8960513647099 9.62995333283299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.222908839005559 0.23078701666236 1.42710405947691 0.925425566279162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.115697614756164 0.123245041210133 0.538688984360158 0.29473837151991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.074599429425825 0.0784758304809442 0.203030969609454 0.0917445971656169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.751022646279557 0.75987655721977 15.5868556722212 11.0170778876321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.16103553046155 0.172302522084915 0.364505712466883 0.414542186553302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0867594596335533 0.0948907780467962 0.100871141319349 0.157270895140838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0662098039369819 0.0745450885633406 0.0753343298023562 0.118314386015977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.27353029543376 2.35787477824344 149.669139494952 128.417143093131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.659480524514431 0.699983266464223 9.23244950294879 12.6265980011058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.303878628136953 0.330615430907107 2.12248795565363 2.78780222958074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.176905106680554 0.195532285470121 0.67259173712806 1.00823263873273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.48743034121286 1.51383246396881 82.9026287959219 77.6933510990984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.46886959871006 0.466878810304373 10.9187274995612 4.27300137176363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.239590720047779 0.248988865849031 2.80585109912808 1.75087421844613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.153908850492198 0.159032035566391 1.12857820246929 0.63201350866901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.62271649719905 1.58165525134421 134.612318409571 46.1417265496322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.332462361704473 0.349607166526412 1.55786454981321 1.62150285107451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.179190871478662 0.193248130238478 0.508275058763142 0.782832878609707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.135233219589145 0.150587849210518 0.342953268546796 0.520524734515773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.46272266071649 7.87627917574728 1808.01818538372 4081.24104765452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.3770142326846 2.64685531639728 403.8065148817 1597.84277486746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.18656186176753 1.42991621736846 211.909289826158 1043.17682289842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.739034484554098 0.964532588202061 138.540334709243 832.816471838582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.34204420082536 5.81711425752728 344437.137943712 5938.59008800261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.92005397813982 1.76467128009632 26629.1687454629 422.015986944901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.17945314363417 0.961720457268493 1453.15556395391 171.240581673084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.664631411745866 1.02720358554648 165.848386863744 5915.49046788506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.54167929689662 5.75022065098913 8081.1117432423 2303.17371057802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.27472481880146 3.18862448428212 111.484031295214 119555.659190663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.667073796560754 1.10367004521499 28.61040479938 5442.97016503542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.548889922727656 0.921587177927166 47.2912237293957 4080.77811277285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.8700094552269 13.6413741241239 5304.30928898938 9235.83442040722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.15419201972775 4.34908333675997 1020.4021872495 1368.27636031566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.14199354443779 2.26592015670422 641.984401857242 691.948380222256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.38786368646668 1.46189558595872 514.939494234987 447.428668483213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 16.0807346071919 23.9477208048543 627091.178265392 2610348.33190015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.90032435389811 14.7243915870314 135603.217637688 2212897.15352898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.55077080172565 8.52071370345937 67438.7993845375 1479645.00035842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.06256543776153 5.4873733446678 60876.1097253673 592449.581846486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 28.3610555679933 20.4367659518806 7101990.67812906 1428409.82213463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.36823941416329 9.30111007356008 25879.2165265686 1126060.27096778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.57821732011284 9.2620628252314 1466.745303072 1328130.74342056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.3829500570359 8.87006475070616 1823.2007427746 1837264.48340038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.16267471435004 1.89821839810082 57091.329368599 158.074302025837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.06004235537892 0.578216218200699 8338.75210825277 30.9498759392667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.43402145647308 0.277611338451475 47857.9445546353 13.022159875882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.29316409046512 0.168237343576357 45469.0497407712 5.59267384321723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.4054000202004 1.40743933267647 3657039.66686403 665.562685407248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.0974490727132 0.408413944888296 2144436.68571947 18.3833348463769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.43775256089678 0.206999140427965 640287.616473197 2.87380306151093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.40464688542262 0.131124348102478 184470.544817389 0.715595747833992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.63906971105817 1.61940026280377 1890050.55407037 1873.46936257259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.300538249139762 2.81535277261727 8.29487841404534 229248.400892723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.256820513251458 0.209721698640634 187.250955595206 33.8748023951327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.947989691512106 0.127376030145975 24088.9868383452 1.39610958956457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.11237845651979 3.84632221683311 1667.49088846442 701.327882089075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.17380090050221 1.15938257138428 106.557277064879 77.3716569912656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.582483982035399 0.598384445475878 74.6147555913298 91.3958126058998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.365468818524619 0.385217201773787 60.0887866334894 78.5152299235646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.95071970943164 13.1755710479363 6737.33668957382 3355262.34029067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.876720735213533 4.85176310411727 513.684632526472 289741.565699965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.426583916608992 3.95141757775651 58.5960013081104 228580.106497349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.270632786672595 2.6703415013848 19.1755377881361 104729.630132379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.08849896755469 2.94518701761331 1054642.10541068 1625.46540774079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.22357754427972 0.630304227331279 781082.335873888 44.4618926276911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.97703088287135 0.375539475534793 408070.879126654 34.6608197102473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.05761657877349 0.301957718267986 247655.482329888 81.6083384689167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.32976698058422 7.96927039767045 2113.74030168866 1081.06954022288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.56974424497447 2.46553023630178 423.139323764959 256.636296644383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.26357687460991 1.20422001887893 198.850334182704 131.782263180322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.772604004050098 0.735383694902929 125.00735755234 72.6373458930709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.3710945380301 9.4541454917079 2361150.9808502 221287.896325549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.8441401077683 2.51370956757191 10737661.346526 8665.99019628475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 12.8030937197883 1.20794646133706 4533089.39557613 1590.10439774011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.84037807933153 1.2212275023836 1222422.86836563 7112.08396822199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 328.180691492615 17.888122758837 3708191389.26446 2531905.68903182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.73922283808194 57.3497751235437 17045.2091644116 113322706.959844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.32674502420665 39.1749780714485 36044.9021667427 53679304.8160202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.17047768718554 5.52753947980718 68086.8491827875 747011.198507262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 26.7561439998297 26.4070582423039 21457.4269564541 30809.4026534619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.7336991351048 9.54878951436621 22413.4076640479 11574.228141174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.63206979630476 5.26286981372593 23146.9548781976 6262.7931812834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.03401473593369 3.57790483663184 23105.9242430573 4446.26313978017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 49.2793437361098 34.2203938308665 2876210.79463879 694836.819457781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 21.3811794653794 18.5841789518168 1054229.08078166 450970.384229414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 18.7840954729746 12.6975141985376 1635816.84226567 467766.567651097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.7144367902385 8.15477437182911 1878684.80398333 165356.597335636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 113.120769650775 268.922870988787 76526303.540172 1038556886.463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 35.8272395595713 22.4187407341631 9816954.22584194 1882967.55091723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.3909997292971 28.2071441970546 728995.294966368 4907012.17271084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.9081901321695 875.051244029285 485251.859399245 27017857626.7191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 45.2012889499795 44.773293954792 77093.3642953953 71253.3773922832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 17.8271201955933 17.540056807458 36373.7416627447 42907.9217114335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.6983822712103 10.5093595341397 27910.288020439 33978.6230803832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.84697134682322 7.61677971406249 24923.5480895447 29161.1035814397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 61.3320346319107 63.910683705705 1062303.032578 615194.57483091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 29.8529995494845 36.7244120763737 440029.652423035 518106.50671912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 20.5024889452467 25.7290297591977 402364.175710099 447847.668256088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.1493768464782 19.845462792666 188212.189716604 360533.105844882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 213.332913082205 313.443865837319 86361306.4199736 579114157.45415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 104.484369737885 126.128602735913 23496596.165868 121951036.528421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 68.4900865235904 140.437440103391 23327532.929274 274369569.134081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 59.0251860940187 38.8134212436361 30945649.3490121 2666098.10580249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0500276184406873 0.0526100762796573 0.00549908073338286 0.015539096948208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0134314739806663 0.0141731978292689 0.000386548635005009 0.00105797474739018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00618063482211807 0.00658337949707188 8.18702152035452E-05 0.00021907686323866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00370671058651648 0.004022918320614 3.16774289410657E-05 7.94591383458434E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0353537790573661 0.0389305379727094 0.00413880106482476 0.00509030694770409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0135497957553875 0.0149075856303073 0.000657388188613075 0.000708283868064749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00785729820346668 0.0086658317450481 0.000224627683591198 0.000247701425821889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00625301856230964 0.00680406674356051 0.000195344169947894 0.000180859330961458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0353312158175968 0.0383131602617146 0.00493629632317982 0.00626566937176344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0103069874231275 0.0111610567931225 0.00032479809033163 0.000399280188863213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00604712096517417 0.00659192907632739 0.000114106451460785 0.000147653484203023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00473952455309963 0.00523618594303885 0.000104089806684386 0.000152030880401402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.530269578795974 0.5531034742361 3.99601556014623 4.07739297484985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158134260814881 0.165898374705941 0.242326590063981 0.307198065581431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0750277892746618 0.0785322022361281 0.0576743997959851 0.0596152931231524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0443965066735075 0.0464925892252342 0.0161010159405751 0.020673940166295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.343017748079201 0.355904229158974 2.11011370005122 1.99422396845617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108361590698855 0.114031802071336 0.128616157806542 0.260135675010336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0570995102392241 0.0602900916724217 0.0369590166777019 0.0791053751465648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0373390089973643 0.0398697629351208 0.0141735099449241 0.0316459230159469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.350456572647754 0.374115967465021 3.14008480959972 4.69467846934516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0816149253325674 0.0846651822790189 0.113643482594608 0.0766689656192134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0443588922211896 0.0464500800266929 0.0243876266992323 0.0228706329318788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0349076549545209 0.036618721441754 0.0268465470282356 0.0182988248837657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.07991222497541 1.11780992791278 17.8237684411743 17.4331423590818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.317920837083693 0.333989733721861 1.26280017758622 1.45466685304785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.149942239876175 0.157508681219232 0.302573690037184 0.305692758599805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0887206692916031 0.0932022037538922 0.0811879167254221 0.10707866052131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.693926163862138 0.714521189872308 9.74555811362976 9.48081132297369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215244356321869 0.227666979721398 0.582209964129501 1.28159606200405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.112890553647952 0.120018049177191 0.166058717776667 0.400399875643491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0732444586927117 0.0786172935646062 0.0637541268496929 0.157732401108497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.720689281194164 0.762646618718293 13.593230666448 19.8358392012415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163169082781902 0.168105606838957 0.526167212838345 0.311215750081404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0880226487720465 0.0912793892322594 0.11170096281832 0.0945300293295803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0698269375571417 0.0720304259356856 0.119390183304832 0.0768120859534619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.22333359318483 2.29355631967773 71.4746730177027 75.0833932816308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.653370810858409 0.683320851841797 8.90564979815555 9.02157415462638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.306433638781589 0.322880306912797 2.59466767872798 2.39744504612259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.181026928872524 0.190253509938701 0.756157259443538 0.894229613745529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.4382866769008 1.46859545732745 56.5276456373596 56.1318653377163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.441271190762376 0.465200270557838 3.62304773121899 7.59772949199508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.229670824076065 0.245891134594846 1.05385125650122 2.44113517279363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.148330462776296 0.160608294770611 0.402444227640816 0.921288569881812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.51528653814136 1.59948237128758 63.3715739348513 96.9552925454947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.334950893858159 0.343763847787936 2.78345029155687 1.46532377160592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.180169265976819 0.184407189610213 0.595263061968294 0.464690257506154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.14352126511379 0.145286892658573 0.592970524687434 0.36929810910923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.39991157607834 7.91856275932153 1928.57404240966 4632.34391644821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.27832106957121 2.49357005544041 311.682670790804 718.336540911989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.14317253451119 1.23251538803774 199.786563228675 254.684411984543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.722228748671119 0.758424797373842 160.271141225694 148.041620221405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.21024868152131 13.2829563773807 27659.8946196517 1518801.99262137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.41438613765754 3.07639541045173 20808.1130426771 38399.5848130456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.1896083933178 1.35235009009 4529.70539152271 3885.77830367246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.16122049282213 0.68083204535062 7984.86476215254 191.476243580335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.50576873494669 6.41894230359162 53625.2707197061 7757.77422460374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 492.287220933498 4.41287485655268 8766406542.57184 178011.543868916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.02553712480106 4.16911582842244 830.177166077307 167867.350125871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.719349401955981 2.95258578569896 368.789390573536 90096.8638806244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.9795115055984 12.6432429032324 10774.1914189237 2646.35125427543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.22772753856197 4.06368173734892 4278.68934876355 739.710350332362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.20536479458013 2.08023337116341 2902.62667677313 444.653026693498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.44752771421631 1.33261704479612 2182.45944077745 340.09407088262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.6822175155125 12.5134664498638 27662.1073880641 71458.5296301129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.31066555800001 4.65277040106037 30173.1842131518 26716.8543180849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.12805461064663 2.52206724180926 6130.86113760265 10187.0560018374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.31682136203247 1.64438973892652 2442.93811448711 5797.82019164995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.9645094676816 13.8771543155747 271918.426873473 220794.764610358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.50414857113137 3.47782277010139 28299.4548037438 21702.7021692761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.1376938218059 1.62839509259013 19192.9964867347 4187.31037913659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.73177456193471 1.40182262084732 16742.7497675698 4584.79560648383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.79278409182544 1.77330059122618 52.8591307358819 28.089418532626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.521335525705195 0.527364438409169 3.48025800175448 2.0407105210759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241216939887677 0.250042395595072 0.572236848081926 0.478954059693583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.141698156929558 0.147164137645369 0.161446100699239 0.145126836067097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13785607082453 1.15670874179399 24.254914533818 18.8620226972505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.354824481648919 0.361439093166602 2.54416601207507 1.35437106338732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.185421550418918 0.190150510740153 0.622047742803125 0.454791732901719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.121589573095436 0.122752359124851 0.323615318351799 0.16964371467355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.18715240984966 1.18853590781638 25.3723354107297 17.0223202783763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.263333482752818 0.279174139045662 0.969026405337502 1.13823267563942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.140037303424001 0.151276433072612 0.18758684200421 0.296501467828808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.110944250326267 0.122128653757347 0.144263393443633 0.283195599732846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.71813595790389 3.66878700494608 242.478018127993 147.008703689282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.0984200778053 1.0877330662623 37.0789209592842 14.849875583676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.508977284478685 0.518077327219264 9.00899495141761 5.54758822324586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.297718539766403 0.304591147545701 3.11064234557338 2.00230342322743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.41014740957455 2.42427422338535 207.95701977697 174.796593738082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.751306810794592 0.754977642175929 27.2033576561096 14.9023756026517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.384262144548379 0.399157828112568 5.56677226810318 5.90607493882873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.254240893715868 0.252746806588775 3.59658481056763 1.25406646367302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.53115637194905 2.53147748959669 121.982762471751 99.9423225263683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.561329360392465 0.589933293799877 8.24616795930917 12.045725762022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.36295186446968 0.416526826109516 15.5240258705774 34.4992244955297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.267787575668719 0.28462297942128 5.46610439375326 7.53828079609076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.80825523708493 7.99444709461176 1220.33354764174 4618.27604419964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.43509415584084 2.54422176901648 374.710152170002 1358.20405746393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.2087088603558 1.22140234990905 300.120923091465 200.808679029171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.803363441288392 0.775237758566209 313.475907870267 161.708704723987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 19.5153705474472 7.19597089568667 2906498.58550385 112396.092006736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.91877369103062 23.5820864887643 177759.829356407 16574769.3135811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.98273350576724 6.98232349823321 24064.913865833 1228767.21003774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.09809002621843 2.72426440034157 7652.94404707648 155842.799182577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9202.95428985511 6.11988889637807 3072055349134.75 3802.40202209876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.59704836792169 74.6865690931556 3470.29989959358 186115456.394568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.775280008569744 6.10255985157365 170.532188959575 719070.170798409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.18437370404171 3.70595951255129 16408.5767860536 229056.857481977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 25.64130293663 27.8214402180909 12796.1613935314 48648.4384359994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.80361479061489 9.94150391530857 3970.23693930046 16849.3659732327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.85003077511415 5.83074189614187 2766.57773657438 12054.8319887957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.28624723688986 4.16004112579996 2094.27308233942 9369.3982897367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 35.707753401043 39.2613406144481 812619.047593001 2001247.31351119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.4492374759378 18.5776373123953 2045425.0964433 566578.174552175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 20.2769066395649 15.8665252005554 1356831.67985728 885116.474332753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 10.20287455851 13.2449042277525 402679.935748201 456444.509108164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 155.110426443858 67.0519089240607 73606456.1175472 13028542.924973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 166.105244849327 21.1730696616103 324306921.115749 2401417.57412595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 42.5412037091234 37.809235545696 36367206.4118783 8479955.13409429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 24.2698986546198 24.6236551487548 9338429.90507495 2517582.85511453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 44.5360438258076 45.0514627533117 53942.9637772346 53993.5997974731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 17.2514229578581 17.3675779580482 24420.1829402632 22838.9534277393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.4388827515734 10.328284084969 21170.6124892997 17231.7044004463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.75062454094938 7.42633856386855 21599.0406176956 14307.2836845247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 68.3477327215534 60.9833405005872 1070045.87757318 1134397.43467738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 38.1098813355004 37.1271900333499 729076.30894217 942283.858197377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 33.161658377373 26.8389819768977 919175.615750936 879855.473972782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 27.5588608491523 18.6188574373572 804750.696397335 544409.996463944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 210.717296672626 390.883123387588 91310804.2919426 886244522.828706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 177.63103483826 1691.93483557602 462486424.300315 93321229178.3069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 70.3786642240004 38.6655275998628 49453075.3445685 4284122.5110104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 47.2603197761077 162.555829891956 5381485.13177124 401465996.631481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0669713144688292 0.0663496306012887 0.00968928689640963 0.0246828528797291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0181277681506953 0.0178227605116566 0.000706986228573426 0.00166421861323765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0083224470296881 0.00814945340844799 0.000156430060731476 0.000331204985328981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00504036594523225 0.00490828768030348 6.33544035672495E-05 0.000115727982912022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0489373608389193 0.0483507269883797 0.00782305720005899 0.00754847505793674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018376095082967 0.0182253342469754 0.00119130663440791 0.00103812381183681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0105011923307139 0.0103582584659234 0.000391903692379213 0.000342942494897041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00782575893371179 0.00768683072139194 0.000229546055115542 0.000211893008294565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.047694662940903 0.0475258305596701 0.00820873889178991 0.00977957574667056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0139434524659785 0.0137991612730711 0.000598465459804261 0.000616179754521959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00813194537638787 0.00800590397630608 0.000209222800167286 0.000202097251209063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00633591676487061 0.00635324048271003 0.000172080631081665 0.000185723680529447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.62788757124524 0.592710581859947 67.5870652404882 13.6720411121326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.205134597009467 0.182057520507314 40.9549731429099 3.99666876202518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.117239944995442 0.0899901268718085 44.139472044588 3.16518201945219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0864911400981362 0.0572705705936791 47.1160138642273 2.92422232293022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.370618608839515 1.0180085270643 2.31082423909108 10316.9322638453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.148462824356413 0.285091709556693 34.5182428555571 1071.48037111204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0681525117146463 0.129001653477959 1.36098677816287 165.625162570774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0420568255343365 0.108578404462473 0.07703288658142 95.39766631833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.01047956025417 0.363938169240862 9781.35587521498 1.8493137644872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.192773831624982 0.108127275741973 294.644940739114 10.3021036220154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0953352122921404 0.06744882785975 65.0041110255929 10.3572052533032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0574940148290016 0.0445523254157603 9.11446918614864 1.78927363996172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.15481898514343 1.16490349401613 23.2868631617912 17.5937863753828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.347401616693649 0.346141196659582 2.24745015690446 1.26685758707485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.163764239149878 0.161727156787246 0.404024370378409 0.232362630188618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0979202470501621 0.0957349890124636 0.143970170274599 0.0775259505844996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.739896632305174 0.731036300662482 9.72941670894662 11.9255760906079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.234915166833207 0.227409463179876 1.048412598625 1.0459341021323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.122642948435983 0.117362544978666 0.299434345387677 0.214749083326077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0798669750782062 0.0767035436469495 0.134750728210303 0.146201287412294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.760322193011898 0.745895621503239 13.9740793924641 10.231962426869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.169324468408302 0.170732260048176 0.388898216759884 0.382440944984501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0926836747053172 0.092514026592017 0.105253164101288 0.124302113591554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0701362818038795 0.072577261439743 0.0504503482180036 0.0870617694194249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.32764313675587 2.37176728957265 70.810073702072 67.5202847755802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.69394460557698 0.700134003667013 5.76432454049158 5.38922633384914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.325135461335448 0.327194889927492 1.01270218910537 1.06463072415858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.194016731193946 0.192710913729864 0.391696514235242 0.355813387577715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.50630276808216 1.46297386100087 45.2818748688279 30.8801374251285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.471293378483038 0.452428698369556 4.3406756610994 2.88449731868263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.245045644114885 0.232388495887233 1.22599255639688 0.642643959823122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.158764305350813 0.149964763803003 0.536747082440821 0.281715492429689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.5452203590821 1.54927883855935 37.8843715832104 40.2293814984443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.338683091777022 0.340352471179859 1.27333971308988 1.20026569422379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.185079683266936 0.184051307499037 0.376517510801339 0.398163917702452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.140272397215588 0.145901768474206 0.209032941560156 0.357248431456699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.49034351618385 7.99979612504775 1084.81737667225 8350.21902262891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.23934666192504 2.337549234561 110.438104215119 318.924606565638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.06302133856207 1.11042348138554 35.637125996468 99.488455028308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.643189402844422 0.663946311285233 21.3551139283684 56.3454848244078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.5512528837197 4.67522990594254 42801.5859555713 364.770932983124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.76747344933711 1.50967301300666 1081.6148209338 189.986200336903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.846334983506776 0.964998622081362 83.33989167973 1104.79746561342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.556973788108104 0.683939654012613 45.0512079944225 888.126964329736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.27013089018494 5.77068052904459 1200.32217322076 3844.25077825808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.72200087950583 59.5808736940676 58886.262924713 124267409.937678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.0447309376154 0.645367727773688 3699.02063021101 27.9262822958398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.806244302725445 0.521767025559769 2228.90001106939 17.6927620853862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.7062758553624 15.5490317034631 13945.8261071799 32728.4084630763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.02914437998731 5.37750675749534 22009.7351640548 9421.58368491463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.80099861002832 2.895057691788 17049.4195149467 4782.2709893409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.88176421126756 1.92696006815981 10635.9274049715 3125.76734353239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 42.4761172961801 14.7218835507486 26816887.5777112 337684.764806974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 17.7765141608702 8.07876408299727 3097348.31047707 595575.456475869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.24025020592933 4.9538768539948 246645.905545236 207656.632825424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.98538614766296 3.35503325814523 45858.4567996609 62920.9859694778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 28.9387782952177 172.458144706946 8234698.93979212 464657544.777895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 15.662748045503 23.8992762837978 2629837.17789583 12340167.459454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 15.5412110164634 2.23876977420635 1877874.83083057 9539.6631395774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.61836648167891 44.1425888686882 228669.439421885 60553071.8894506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.9456883729677 1.91748005235245 89.5706570447036 104.152029256455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.591631395936236 0.580017585268168 22.9405260746764 25.9208089036182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.286624884107931 0.276547687390685 12.4745863178905 10.611571275458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.172362159546135 0.166004797217888 6.99063715203721 5.64334663415042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.35119346178895 1.26951896762989 307.101053616773 230.256708605558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.42107569584249 0.394112561663624 30.9223458843966 22.5573869820128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.21344442622002 0.202767586895772 5.24010693025389 4.79834011973986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.13723597544069 0.129541578351135 2.20072464946556 1.44502357556463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.32321103548809 1.41445376362277 93.3789538782966 317.9949405708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.289065167891702 0.297921426751402 1.53536244573361 3.74191549044678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.159443754828058 0.16665344061872 0.869225575928471 2.02070153013348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.124460496159056 0.127817606387856 0.745401086996497 1.70866578158154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.08330773940504 4.04616536014749 541.315722128323 538.144508395084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.26191506256431 1.25589988204366 123.922917142094 176.246708560211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.626159412668298 0.621396406973813 66.1230685401065 95.14436354641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.385119947838298 0.386117969559737 42.0023823935298 64.601566727567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.97451310979395 3.22611899289982 2048.23094939643 9156.69432093659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.919079519609462 0.909224444749302 252.87896683535 220.817952263926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.487995470101078 0.4634241809205 92.1712891295275 69.2847982397113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.312072743892443 0.294548686213117 34.3176651219892 23.3734406577217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.01085931873281 3.99874393408601 823.652930210127 22237.3031801071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.692514129167352 0.643845517972732 141.904912968477 28.3974541051442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.406147177630746 0.364707249211782 76.4633252382506 15.231781865135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.332166388318444 0.275899116778353 69.6287665335195 11.2043727800152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.7833293249474 10.8438478350962 7375.09442625708 187786.38987976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.94453073343871 4.08075494510709 4108.50863350772 71211.9098602762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.53961157007062 1.71879128888786 2276.50273662923 5867.63402871309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.04770243014138 0.864352132800162 1366.57771340524 366.173132150644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 34.3905728227688 49.6994546610566 27558429.390199 44026067.2013945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 34.0056591830876 6.70944764472157 37499844.0765382 495097.712365682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.99803794138149 2.51762748020576 315751.828867052 64439.7030243662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.73269867051727 1.35386425062747 29535.2528012386 13512.8025895605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 291.150480941485 501.422362164745 2401154790.67189 8866595628.89002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 26.9439900607849 55.1685233782044 22053560.4715551 76845421.3198654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 28.6324980760587 3.16646853681502 13933663.4429876 207714.325634128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.60515775947753 8.11155149385717 323927.089925742 1512108.07070769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 28.4389003557365 28.6390035152607 75969.1980071451 42457.1296542548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 10.9389265995165 10.1142445951875 87396.0761857485 12261.8379970227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.68019395561966 5.76780719276808 88727.7795608472 8297.24566042764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.10000298655309 4.09137162731056 88050.6133864035 6612.73778347159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 42.4607469906376 48.1261121625659 1031719.67089721 1829525.37218803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 26.7701295608493 23.7416954044019 1519480.72553275 956072.22354434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 20.2661678320621 13.1687741063029 1564772.05905003 307263.856685744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.9220169389123 9.18570637531155 626184.73285734 163850.591226879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 92.459688783359 371.292030334643 23813281.2760441 1787114930.1157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 58.5268148843094 39.358065296524 36176847.8175405 7554413.8139898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 19.2790266178902 27.2063682777117 1133580.77770151 3101325.10507338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 42.3478163484694 59.8478681671439 15673333.3518308 82316505.2638571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 46.2554061777022 44.8762930380328 60945.0285936365 38488.8459880495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 17.3679977578552 16.9314873580419 23544.7888855613 16849.6286888758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.1300432203999 9.9583739323243 15145.9093242895 11793.4892553154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.19106408458774 7.16148617676587 10811.5163264941 9239.76311162692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 63.029904688086 70.1816670223181 1050721.96816516 1335328.20062899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 30.2824229877597 38.5914238225283 491515.942335465 912626.76906351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.2625927238408 28.7579890348309 537420.812249216 680283.522045609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.5288605356877 18.6050743963535 410384.278893213 320468.682513984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 463.99484080184 339.841886650489 970495736.571882 511469026.996957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 55.2247737402884 585.088347249562 3701783.27110813 7988269534.67135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 63.2019513027196 157.229596647713 16240269.0646968 306739643.888559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 119.702128428406 36.708548970076 224827732.513777 2385253.31367667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0845342844587123 0.0846219017155747 0.0154639533561664 0.0400324720850756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0230781897978575 0.0230138754645942 0.00114786225383375 0.00277872163240788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0106819488252074 0.0107848069084969 0.000251305888937779 0.000575778360882293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00649541493305134 0.00674206061371216 9.97543707251573E-05 0.000206767460674466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0616460801101026 0.0611402523354862 0.0124642473204256 0.0120614402756623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0235872127431338 0.0235828737873186 0.00196043506404538 0.00171386319610367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0138417530065544 0.0140770243566543 0.000695655073839414 0.000617558026948619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0110231056353138 0.0117507463374779 0.000572812542996128 0.00053746436452113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0609802094740185 0.0601943885829957 0.0134841244940222 0.0151078974222628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0178268263143375 0.0176607531979784 0.000970654633689928 0.00100295044822572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0103922109710801 0.010247723319191 0.000336978500078448 0.000334379706650698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00813356791589969 0.0080095479244709 0.000315261372992646 0.000316004911744066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.561129077559324 0.567578221708897 6.42545516514378 6.33707106201964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.169449658057951 0.172527246904617 0.445279425019355 0.702756040922165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0801821666865572 0.0823043903568966 0.0697756870902115 0.166048856932591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0472144186402348 0.0486968520926624 0.0189529410332582 0.0577992058525656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.371431401533597 0.379256912760548 4.09946767400703 5.33305196463324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.119830404414583 0.119392642750014 0.286673379755238 0.392580379456457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0626643525703171 0.0627680631057378 0.0494422656765068 0.10378223930487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0415602765740765 0.0425076025016095 0.023885547053134 0.050254488946774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.370003378523969 0.378755728586088 3.08021476202931 5.00102848760612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0908913107466776 0.0883712889925689 0.270360666363631 0.169486134490766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0516213316565271 0.0495045737456651 0.0984221625539309 0.0416002751805179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0392308574150232 0.0375192754692432 0.0613967769249296 0.0188303770830928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24213260970949 1.19775363805406 641.25633470663 224.757318902603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.431764571982031 0.410336368617813 330.979538330212 155.062863694634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.221939556199841 0.243459107810365 136.48760455134 198.93124238135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.141803764061638 0.164828770732557 78.3547624110216 141.491312915152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24946893773636 1.2798720978662 10405.0458391992 9581.31521147844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.336619696419071 0.416280836102473 402.403605729874 1281.26122632936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147155796165431 0.231357956424488 27.5879980922734 448.553540067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103927044430317 0.139743754338854 24.6114314582588 111.780829207546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.766955528466037 1.13264584161927 32.1297993408696 2302.07531878407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.288006691983567 0.197817790330929 198.23144733333 11.1790993891282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.182996136005976 0.110706111677478 173.730630792695 4.38981351502923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.140540112162841 0.0804089029181467 122.592754114585 1.86575201934003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.35715584728168 2.30697604815301 295.452160515795 112.069481569547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.750077536009174 0.687235291921002 111.321085905729 22.0946310009834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.365924533102839 0.336925737040181 39.7779958197109 18.1141558388577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.226264627034799 0.207956683604502 25.3386020664794 17.5829766515686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.53563158497974 4.94093062183569 232.528322626852 211631.257197052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.473864691840615 0.995904475606901 12.1648173708866 4546.4400683607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.247556534083947 0.815167644376821 3.18235014878832 5743.35577378166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.158292817911634 0.63239163743113 0.677188050293351 3997.0210459209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.96383439515699 4.49695842784107 5386.42219240291 308682.071903081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.80057437527103 0.350403261384982 37919.1672663425 3.09836762428871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.41152175234754 0.196983121775546 26969.0752274552 1.41035599301606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.149840675897301 0.254536192998226 0.733932284625268 239.31446744531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.979090929481 7.56294814656302 7571.49647240629 2472.3503846446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.64398407491672 2.48804497954506 3033.69041526518 1156.18942041846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.34669791643422 1.23257380187443 1312.58005495545 496.339154939924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.779759152286311 0.728468520686423 357.320785908829 162.146134997143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 30.9835973908521 5.70841655258345 24333167.15982 6161.65105683625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 10.0951025577316 1.68089081824569 2134773.49161408 388.818203020303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.48002279958579 0.819945660579898 1381193.89185112 61.0911939114016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.14339944571319 0.556923978788727 48900.2543643572 53.0844505762882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.06159254008941 616.345195409779 11407.5236380765 6804137323.25331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.21685978061388 7.948511197933 136.951966003434 1005545.43724769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 23.4161259883853 0.647999290230868 9436133.30107025 19.7300920208394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.86662778908974 0.803265202190832 103908.068678973 3987.93550017778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.5703823803569 13.4125684715976 866978.394609323 21479.0289655256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.92271106536859 4.76941186511888 311461.819550944 15242.1342290858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.20692844587994 2.46233685445905 174471.691284035 4692.70157551175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.06822825183431 1.49616495426091 120464.993638925 1297.64859470102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 28.2519368897 12.5149595500121 3573576.60727684 171333.664268957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 18.4992924721156 3.59950155779742 2265289.99065232 11252.1816697433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.73235902378326 2.2146784831508 274345.505891616 10553.4649108568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.64880066157623 1.83384537150072 76277.0304466112 20095.4423646396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 62.2311555020503 51.5994079884134 43693862.1119203 52673121.7213258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.4432442069709 49.3629139530692 1094878.54068194 57441926.3813067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.85377694723538 7.35066985957749 336072.35965568 630433.1450114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.33069257682356 5.78886223642256 151305.05524263 489057.765868088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.06008225961103 2.1361949643612 1379.40644067443 1132.24095919549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.579704786854472 0.648088408651322 25.9370873992326 166.062720761247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.326302242903506 0.363952488524675 81.9597469666981 143.393972630284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.222077923411166 0.260096466017383 81.3643274259817 143.279166171015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.7909061070198 5.31969995574143 6254631.85396528 630002.498946627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.63891695560638 1.385824909629 286243.091844858 37577.6541647338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.22697480861149 0.772261411140332 62583.8438100579 12316.9949689399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.46409894994169 0.311545080252403 24045.2300122795 1291.94804466998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.78075097832191 18.7540339975508 9995.83344080046 3258058.11094683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.669163658936671 91.213103097786 2438.95698315907 282722880.044147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.246914218964242 9.40500098516137 181.254939942273 1342743.70325619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 76.0473743386443 3.94927289899662 209639516.284977 261989.746689244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.87022257890481 3.91067507166283 463.369882783937 283.873716991699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.16938456599214 1.16724037684575 93.2504527961693 45.988990350797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.568369530048394 0.537791806752696 39.4342858380023 8.26939127772698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.335488554365046 0.338052320859192 18.4390169661113 20.4930652232311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.25546457193677 2.56032953570226 10934.984856815 647.649996280509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.0026114805196 0.80707339555485 976.702017354883 76.0975046362784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.526272009984762 0.427298987500136 326.128097136497 29.7692518556658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.315924377271019 0.27236605427996 60.2732456331943 10.0907072671879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.05021687337967 2.74286642251944 7606.57270287412 423.033527749737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.625110990736362 0.608861122133783 25.0428983660565 28.867345372874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.355114837918308 0.334775933817752 18.6254253812355 6.42169597454817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.262398388120337 0.260805514867025 8.85673861913395 8.23954336893935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.42270675855418 8.23848496400904 5987.11771957853 1500.56021538253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.80746517917479 2.56012734246297 1747.76869660647 382.46578603125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.44265570318213 1.27285503115535 967.500576860273 214.777281586676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.916971387571463 0.794575254160015 703.096976384292 162.195472482074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.12484585662591 8.72011589971718 7061.23704423865 189132.661536331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.82734925295222 3.47130149041697 610.243987990879 67163.9971977183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.972011809383341 1.9542371997627 222.625076927287 20902.6000815696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.627210653116089 1.15951303600503 78.8345450225157 4447.51086558804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.4581034410182 6.7836638141021 546030.864032325 13553.609224952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.42939943575595 1.59106394026482 39968.7850946073 2242.74987118037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.6651924422681 1.14486120882622 27150.0028409403 5066.30597961419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.20501670397328 0.989325553522067 11144.2389400392 5482.80225252628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 26.8731264862642 29.3268373037662 56124.7014139559 76545.64658927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.48982256655936 11.5734368796282 25171.2559699206 50519.2321443084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.17606092754953 7.20483978756517 14259.6534382923 38806.9828087169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.50812917419148 5.28221973211502 9750.71723912785 28033.788738302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 46.9809261559166 36.0062688734459 2599765.53908696 767390.804404447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.3064634385409 19.7481154840631 676231.605547293 1289361.345414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.09198259084823 10.3916193771681 92790.2743261634 479846.822260497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.97657080343035 6.88115893620453 46751.1775160883 151598.693844801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 64.2727153238458 58.4911121333165 8503647.15817082 5640192.68693134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.9982117860707 56.1842933297261 1002803.05822177 20142874.8993785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 30.4083407461556 25.8452775532029 9577745.99398194 2849312.73490908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.9260496330523 9.39080488593021 2145441.26483412 173398.622888647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 45.9437723240166 47.1673825373859 58057.8509532275 67746.6080361279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 16.8066320611335 18.3149399832315 19208.9742685985 50568.2458141161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.63828654974115 10.923554561429 12891.9739653429 33308.1473227097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 6.85364067658384 7.91011784349033 11229.6889873924 25924.8888706284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 68.5499797955851 63.3778976531053 1077037.02722658 1098289.24773984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 37.6711221339971 31.7999765887581 672577.351604246 735390.832036768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.1139298772969 24.2281996207381 269637.709540652 586623.315113214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.6193710913043 13.4180285019396 118103.080923463 192088.196459688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 140.424244901468 428.55820384476 10475444.0673063 2984903179.1629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 112.524869140767 155.152360936076 58098581.1643019 277486483.442946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 50.6469348662427 73.1104910989163 10556654.2588213 26357297.3763502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 25.3260347161853 49.7448079446426 2874386.80148317 13650926.0965701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0519218879580321 0.0232402061054629 0.00546174270738105 0.00283429697872868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.014059581612918 0.00640577553574116 0.000418713913983066 0.000203698824553216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00654405287001336 0.00295699865363629 9.24718488157729E-05 4.22316156731537E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00395569666361157 0.00176027994086201 3.64727782893587E-05 1.49715589180986E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0374721639733609 0.0146272369461394 0.00424683266989956 0.000670476066702438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0142028280013454 0.00553600984589667 0.000662462198171667 9.28452989842911E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00808730190678035 0.00312198243108589 0.000221407791692381 3.0707366305951E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00600091703503131 0.002188535830113 0.000134662909791996 1.732911933419E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0357513849850973 0.0150036437800956 0.00457844636034439 0.000948887817634506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0106112751967212 0.00432963055844413 0.00033448912375046 6.07073370009118E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00617080167753838 0.00255436910797153 0.000114530023551471 2.25057602089436E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00473466177172443 0.00207984063063412 8.98653652888402E-05 2.58508794127921E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.601051991268976 0.463865108353916 4.99988202274792 4.33485503208049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.196654088924696 0.123051294557058 0.342960221926748 0.373828581742752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0955165684211773 0.054045978133494 0.0624722897286564 0.0585434190079943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0569163214559332 0.0309332899930116 0.0196906980389282 0.0155644426993931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.420827900308368 0.270371712261524 2.57996280368678 1.53058725605272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140909155996606 0.0803860614163722 0.403871419796261 0.274247647036423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0745868965462102 0.040243529103171 0.113081116191752 0.0586398963648493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0494595388767737 0.0253613055535202 0.0531178519036258 0.0247397236487694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.42971867605596 0.296481871317328 4.4269617249531 3.13091482945881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.106052659286635 0.0605505913023937 0.190782875303919 0.276626154255008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0591923875576535 0.0335326387314607 0.0316574089323737 0.0584406823681467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0462130508462269 0.0244760986224521 0.0369664909027201 0.0173363221031536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22911549601107 1.05224564873259 109.088361700616 96.3388381005748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.411270998403573 0.287920033333 23.9371813159811 21.4337434531788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204043568790893 0.13273330659561 8.60245347639743 12.2908443167124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122944617549353 0.079189475963622 3.43780415949431 7.61331310977555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.939128915320279 0.653520587223508 505.943519889805 126.06611429868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.3172042006768 0.179565583132077 56.0494458632633 2.65619140621641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.150177113014958 0.0966027902691916 1.04143680627374 4.14871133789295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0996246099061078 0.0613427422916154 0.569789000256843 1.84241357555557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.951067805205813 0.670621460214447 162.900553410542 21.4843282853258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.231773549303567 0.137690253499706 11.0471482115267 2.02241919308511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.132306389895702 0.0807224728285026 4.95715702855946 2.10562211810445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0995107040039118 0.0601286847040059 2.14254803548968 1.97151162527415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.43428898814262 2.18589718563782 342.093361439686 133.288393834584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.792645395448295 0.593261788211665 42.2180637977007 18.8702318915548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.393500203235786 0.257081757004409 10.8930270519156 5.87715485713718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.23788570009 0.145713842864374 3.72545485746046 3.05369122406269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.68159373394751 1.3906180816087 248.41752472389 194.70508489869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.566910948239972 0.434463915232387 33.8167471897862 69.4291069842626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.298993742642808 0.207916483544048 8.24996793705028 14.222694355724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.198718810928371 0.128865547000595 3.78290057395488 6.01573842230357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.80167407368183 1.61653386158796 285.49211846182 552.608588411652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.419961535785154 0.319364012436978 5.75617349470861 14.8990560587863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.248870386799808 0.185269988580795 5.14118554004545 11.9442690897455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.183508982445617 0.121519134576328 0.89116032717926 1.14701489514979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.30573919695899 7.05335338617707 1220.24968018007 861.149477930245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.35905614162002 2.12808310478034 233.23715916721 221.469715039799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.20114920058465 0.979707851593055 120.92825189134 101.382399902785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.750964189870637 0.580015424680986 78.5749394618871 64.1067280284953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.64391004223759 5.53690207615243 5231.44209349063 11763.8442065569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.14298498507102 1.77481038592108 2631.89011631745 4704.25410596784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.81401820978069 0.883391057819522 23562.250665279 1083.1945580625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.23248150693901 0.553502215797791 13144.9993180338 364.127630847327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.6144571553817 6.38924846563581 1916559.51655444 31427.0719456811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.46492147256358 3.57913712399509 611.261140020757 162314.701081415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.765278821751394 1.14826678143432 41.4358360210107 10903.0801911789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.64563378654817 0.900269724520205 54.333176484296 8444.16860505406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.8074929903487 12.3352017186866 20655.446316557 3912.77449597911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.16738890905039 4.09561638334408 9087.18000289346 1524.08091328638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.01123542292193 2.19319981970907 6409.2561401719 1739.73614335911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.15297194672021 1.50133037439202 5425.67750699043 1877.61871674014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 30.1703395454981 22.2561011239256 2370793.9328472 1716989.26755458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 10.8921612946805 13.4086142079371 423939.255488362 997788.186875891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.9069094141066 5.02182905263319 180213.261661077 87291.1665212181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.01881359881316 3.5296100592301 142973.413264739 46500.8272077413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 41.6408947865534 26.5412782836163 10555404.1201415 2098607.80288956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.5006445386637 6.90851470769696 244898.788555794 135544.514519219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.40366720586919 7.09088741947681 41813.5278954212 240421.04428964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.21050178258219 5.90958177499751 51955.0765921486 156983.788312164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.93816323047603 2.21452313846721 119.908901941606 4383.80170199564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.620604572765178 0.606282950991516 10.4975166224524 356.023575853678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.311070944838543 0.247851047622464 6.17786048261904 67.5833398018971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.200838705895354 0.158803391657325 16.6471019013037 54.3625702664707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.72060807340546 1.23472067356568 709970.182643447 1110.16271805475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.55252657668404 0.325444415540539 136544.964523313 40.5488241057244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.330358888934772 0.178019071997804 279.773277294687 17.8724946650353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.152872172378561 0.532723890291746 0.572787599048508 5454.58076718493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.60968360080283 3.1403834543283 2633.58998060566 128482.86189091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.37945199455234 0.325371396866788 29348.6010425888 340.33836969916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.26908729226833 0.15533040811858 146069.950807897 25.8901005269454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.68605917331981 0.107215553966203 70123.7867888769 4.73756757345846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.92059227147787 3.85376477701212 505.744185527356 1181.92446026907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.25101382406475 1.09615308281982 71.5303944382096 253.127293883184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.623045220893663 0.488078435598165 28.2323081113495 95.225870612556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.382182097861308 0.277744586552724 16.3506097116549 39.0649968511915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.79175060686435 2.46127629525409 1416.5151421814 1445.31739067158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.00979906608848 0.702361132997406 505.829803559757 97.0571153054809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.542132854317335 0.342063951700498 170.494295141209 17.8680763064614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.376064658052438 0.222283893031945 126.567708438529 14.6230200238249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.76931988537077 2.69708281349852 176.008461563134 1150.69365499137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.694789748120576 0.605247767967673 24.1143112556606 195.684861158118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.391349830526234 0.347116309863897 5.10571169080756 213.04482569289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.291163204256343 0.274510186489356 2.05864807993304 160.347184066047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.69106546331743 8.88170179507166 8870.33173840805 15377.8506891982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.87042691710934 2.87705345835885 1206.09588407063 4533.24008487542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.42075849839007 1.51039591782529 287.19436039616 2725.80996484322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.875119868304198 1.02572634133413 118.472884185042 1905.40478634835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.64350766612089 12.628423468012 262396.729795658 549045.162788602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.36094639394137 2.8063470893988 240900.287048014 11686.0567740674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.45708360004507 1.42162222876321 84336.5553520194 3126.6228255121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.55321711683484 0.841815040689589 47018.5828009189 1239.26269818797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.57734041378351 33.1255056892392 22929.1259167483 8838185.14379231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.08059897564814 2.10263556599698 144869.930401537 7859.83172839377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.16926788598911 3.00592713151041 618.929134455148 105655.660125073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.37788976194215 2.97228232976079 2255.22735031782 136379.989227588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 26.341050872235 26.2867653380155 19141.8676739094 17599.1817065328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.40995913998364 9.16135755625545 5400.47949842653 4224.04820187608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.25211010006677 4.96253085773114 3626.99232004888 2478.65257035096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.63389594980197 3.32896310950081 3253.54645626546 1793.63713844271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 41.6730561335925 43.5743838532397 767752.860072447 1220782.56581127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 22.7209061316739 22.6162779488556 653195.674010334 758006.338817666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.5907705015213 15.1111656691537 680684.239110263 599766.742095766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.3849600953147 10.6611725345956 620511.095284249 593392.005331302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 66.6480341022643 158.543556312248 4683814.95043245 267291995.949543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 77.7770666146701 453.994442961253 83736770.2439814 6608613378.7831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 16.3707195004918 89.3334998407166 1661223.94264521 69180816.4103308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.6008279990231 20.7773382256827 588447.706059966 3272358.92131875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 43.1233625525128 43.7031999386574 40484.6672194389 42939.8836716446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 16.4401886376077 17.4330394363439 15323.9197324705 21391.1697982401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.72872007921188 10.6094842365124 11577.4224765927 17465.1543256187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.02561232148755 7.80081100859279 9919.12435455728 15364.4551482223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 69.6585345316097 60.0194090259314 906951.744348133 710451.265780429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 40.7850473728877 36.8246152162564 859141.99581081 626080.599134097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 30.6598070935108 33.2990656013855 710436.142093967 841955.200466288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 26.5084755659462 30.1549479736781 776112.037366623 881520.504174739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 226.843239889163 181.670706350865 42165610.0437695 31087563.1459244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 87.8835999674121 58.5014848795403 9452817.66468129 4218163.10639512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 48.4720017820941 63.7025694816043 2814751.78803757 14231740.5551019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 67.2382736586495 49.0829228895617 18062309.7959929 10508924.7751921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106421145598969 0.106103958647692 0.0320423639476727 0.0429987827751196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.146256053217326 0.14617489580041 0.0394895188728895 0.0956139578250904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237326484345308 0.237322154123764 0.0641431088728039 0.277302533861438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.369237054563177 0.369589120761324 0.144519031146882 0.671708984764095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.216113911438593 0.214384286597965 0.150797810712155 0.137534493308265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297077086868179 0.294758098356082 0.185473592494579 0.305666389799817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.366275278504271 0.365130898495028 0.194431248232245 0.59651126899735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.4779167963028 0.477359205897415 0.388306480189729 1.05205004686912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0877828893687195 0.0884439427489145 0.0217112696969011 0.0376323396678062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196018864768183 0.195178834754722 0.0830300756143495 0.184826503585598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.339460880256753 0.34072272595879 0.168400127820408 0.530677963535811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.511011819567851 0.511632227305363 0.304099511861113 1.23274085355831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.121943967761662 0.115745094741309 0.14707545651146 0.0650472595193243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.150983491498508 0.14951593850051 0.0607396024609231 0.105053840401917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.239954346767355 0.240475844822882 0.0730458019725125 0.291174693944015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.370774547025442 0.372507244717053 0.149549003024025 0.688388071810249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.242518229355911 0.232234114528208 0.704824315543927 0.51295466560643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.303252957377666 0.300986873881502 0.241643454859056 0.388386460022237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368958972907583 0.37107783891295 0.208539606853238 0.674510493838251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.480139319513344 0.481916364700849 0.401965382168757 1.09092615164041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107778186805939 0.10928681212563 0.142938412686594 0.197999578227783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.208545272451767 0.204403805352222 0.290770890093804 0.499260889782145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.356199056546955 0.345866941133924 0.696966496445604 0.646966465903398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.526345661300506 0.572564554939474 1.79655050032641 17.3159078961964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.152343219418957 0.151557272869127 1.42661314937509 2.13550084720418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.162963838905915 0.162882492198457 0.278623383881638 0.408027104459207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.247143933574543 0.246298145068331 0.166826274417816 0.375295291260716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.376822291672711 0.376324032125153 0.217543288926216 0.733039704694908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.344904121538851 0.548602027050292 40.4044504099187 404.390532985018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.320393765781405 0.323579529965206 1.08617853300298 1.33639226780541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.379122162938508 0.374664676876955 0.42727095217969 0.692196564838962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.48717557232852 0.4846958264378 0.528449514862622 1.10418851545523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.839572993804714 0.570973023489304 1325.22540771895 816.549981360129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.299073414592825 0.340827187280421 27.5867353731115 104.692281645514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.356505326647996 0.372150062573504 0.550845395391823 1.60724891305405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.53229922598968 0.541993339999731 2.74819164256519 3.86461903802202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.202966888685202 0.192750026505257 2.18874437186411 1.52294108198093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.186027675804947 0.169981449250602 0.820940783361667 0.282930985362293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.267028685759311 0.250919714058294 0.508125666419612 0.387126408355101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.393159580616431 0.380756940895949 0.421576573302759 0.76491463730246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.4431742039916 0.331068700487587 23.072933902287 4.64656191066258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.365265578761479 0.320157260483688 2.22342594376041 0.582792969013236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.404377421499981 0.380324052249119 0.754083950694023 0.727636259053826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.507104454770903 0.490083903715515 0.739057960630953 1.1540032362475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.492631836857521 0.578511515647534 192.371741737937 306.683468919449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.02424919092819 0.305692415798295 6376.11029980508 8.69148121031119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.7072103550496 0.708382411133929 1960834.59894755 688.27271586824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.553080050617083 0.569648669592752 1.5483977078832 5.56704536643497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.381762985234899 0.371172968416068 4.18202326046646 4.7342767265382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.253270928429623 0.238321449092299 1.66933296453808 1.48852820701475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.306821273735017 0.293102052796211 0.862761015321624 0.792844361253235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.422779198076882 0.4084121819582 0.71377213155184 0.921400740500606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.81306786271381 0.919611573403794 163.887056833265 333.106074430462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.444314791987773 0.400480994284037 4.39977624741884 2.09829432895952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.454332975669656 0.424097593972698 1.54708210348387 1.21413091283576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.545807418545519 0.525710452667363 1.2862079548094 1.50885090474793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.1726908333017 2.01982682640354 796.300802175602 6473.67259702427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.547915854882532 0.593215217406849 89.6416157029116 78.9442096507773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.735613892983709 0.864183784082216 246.331106192775 324.306602448783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.851708194456072 0.729149976986406 233.741085319574 37.7236526750011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.61734934167273 0.60934129206302 10.9799131441174 14.2894559011381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.356309345099522 0.343157054951914 3.69271261810281 4.4243495120788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.376030434180521 0.355044154857755 1.92494162197079 1.66475387844749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.471392700625236 0.455966154370094 1.23385122810027 1.44761811890838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.33986128676937 1.33632087046471 227.635056164483 230.380867881481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.608212045549785 0.554580340001338 12.0987595639787 9.69698460677246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.540628618204913 0.494744181170258 3.79751284271499 2.41892112450434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.596990517020669 0.567206042099746 1.95123244194897 1.99939326952476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 23.8229779577643 5.81687381660481 3041627.47389146 64152.4272355278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.895503633645161 1.62561842181708 95.8015061662354 1407.0356891201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.39316048741078 3.80112042386292 1857.95960705402 96890.9983168166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.871328669711134 1.057183963512 32.0114329103333 338.040634024058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.169147686869064 0.180474091794563 0.815251022155115 3.29285152005544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.167006439824871 0.173138151706096 0.241727442539517 0.778739201435253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.24970241319158 0.251976347890601 0.168414734108964 0.486000142281743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.37961643970183 0.380182466942025 0.237630195323526 0.773045936252629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.408183209400186 0.36038619419075 69.2152896411912 27.5900472967092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.329183520454758 0.333420355907692 0.934065663750889 1.71284186575743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.383960466149959 0.383200308194977 0.4360961833795 0.807016619651956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.490899970038546 0.490080621440723 0.509214446918379 1.14590239986191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.72662695891214 0.573924347745789 1202.62373624231 927.655472747777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.737338294485786 0.310354135378586 1919.79603908899 11.9911225700974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.393174267909363 0.38465329906905 2.21258861334582 1.76305155870022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.556139101436313 0.541902212215841 3.06718300834745 2.65448965610015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.260405289102117 0.25994280327549 7.89178997439138 3.56374657050297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.19435459924493 0.202773384526971 1.01171633338818 1.17036924844749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.263499124360653 0.276657835791556 0.385114342110614 0.93114618344663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.388680539997029 0.397539390148234 0.352170656301474 0.97121613054718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.662368836779499 0.522529153879284 141.707846652876 48.0224099804693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.379379896083625 0.381792001832628 3.28987895369604 3.24526035744717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.41034812991828 0.406291528210316 1.02843551259134 1.16425902634667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.507983090168443 0.506191534168587 0.724833498047986 1.32282121475621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.50626898388274 12.2880135461766 2359.47107324027 1055063.83008881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.69812820799283 0.730982265410273 15034.1917465028 691.739346314496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.64983408576726 0.5937248513838 132.316314043234 108.35392816593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.587373455014869 0.577032084761372 3.48871707402889 4.4164612794397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.384897600501681 0.412967806519568 3.6136570869288 6.48234783908507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.24536710959032 0.266124129262174 1.31798726176148 2.01311516005529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.301455811808775 0.30795035011291 0.754009974660902 1.0826745838932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.420873653436369 0.417738142429652 0.637120991494145 1.05635247673032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.0283868319883 1.06599948796824 342.496131173551 208.65540416022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.447919038962004 0.477568395501733 5.03222099990596 7.65277875130804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.454795542805612 0.445058137916151 1.5457674619138 1.7767162646833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.552091441393762 0.540004942747089 1.32743730989616 1.7515351611666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.86827167638121 2.92131936862642 12704.4131363495 12546.9418611518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 911.749532280142 116.071546456581 10874880553.653 173469842.202783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.26367570870157 1.16749374903856 132392.303405022 2711.21104493447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.740433312838771 0.884120446872909 43.6498658738391 429.81640377588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.02718106226894 1.06020668733945 41.6019870953661 40.7668235148557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.515516328173584 0.499908035001293 7.04129766799279 5.01869589027196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.456572469301226 0.439158053942643 2.77030244673146 2.26916666165815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.529366784151739 0.51424280782956 1.73361003153117 1.87075193189027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.37234109792874 2.51174868120663 506.22599705838 573.537540141915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.824646754216015 0.750694461514962 21.4713298826277 13.4397029779713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.633693928867944 0.616261144878293 4.65897156745927 4.6021764911843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.663181958484615 0.649144643330822 2.73914139867583 2.83781393743968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.2201711977024 8.98724027203612 86433.7437315576 53077.4139950322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.47984046989503 2.39062333824339 2910.42085950999 3331.44748649921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.20695656799286 2.28599178301759 102.590959797177 5800.10259983333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.908033479493603 1.22520875490268 20.3425023536546 687.647056724103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40893497273484 1.41642845701544 36.3662616315865 24.6050605146454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.680830585084985 0.69287091567295 7.30835181270983 8.28085751187472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.565587894757787 0.559844814448185 3.90223970114868 3.50295281583121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.611965362142771 0.59480101074272 2.76234640044727 2.55453592189137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.48375461861243 3.37045153104476 977.534677238163 650.662792508527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01460923948252 1.0210573360456 24.8046778592164 24.5127484784944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.748207640689971 0.750155272924103 6.61016038056384 6.8364755525326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.748754802896096 0.740019165339565 3.76164825641119 3.81814211843277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.7529784773607 23.1053189576344 51213.065682616 1917929.86546039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.86373129711804 2.23854768707765 5181.48642773633 461.558525909514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.81550156805479 2.16984447307093 11227.7651617009 2632.03297276929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.41815354547126 1.47279244233683 605.260296523809 412.927211995897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.291136395661943 0.291874514095805 0.344983290810989 0.25890436348659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.351725574509791 0.351328308017028 0.39364385344631 0.27517506026308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357635320952575 0.357408135689442 0.318673906645063 0.40514960153229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.53860458189813 0.537361797210064 0.566560415782538 1.23954272591338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.56814807519109 0.568535468201287 1.31267557708658 0.862801075415517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.633326191309603 0.635051049479533 1.31507838215885 0.960632122250433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.69095678704993 0.692900087639393 1.02909661108739 1.69919730012873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.03890004365772 1.03782861716798 1.70054758515714 4.18937699824908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.556969467670003 0.540417744735098 17.9476936971658 8.70393924363947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.69020760573823 5.07649352278293 7596.93607526273 4371.49681189291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.2902404204191 9.70073117969436 168984.264520687 34938.3561531081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.37981381953833 7.49241116709391 92316.1689794508 155683.552467976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.320996075183341 0.333022464158111 0.939072041344741 3.63857927735595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.360501022507236 0.359676020208569 0.472842764951183 0.311406276810923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.363024756534216 0.364714856492232 0.351964358453328 0.435823021197085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.542621341643783 0.543368909828449 0.582557296541352 1.26673737302703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.703532882878094 0.660628334517765 68.6231673684783 28.3816221514221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.646147076545859 0.646520707186266 1.71814145772174 1.12305066127417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.696076849895551 0.697805602645727 1.0681273739381 1.7282623901567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.04108305981219 1.04038411110986 1.71783976270361 4.2010491473074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.06692239078118 0.700037486255476 18988.32286483 62.3282688658268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.08172368123918 5.84646636891292 2794.35329767857 11577.8226873254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.2184450650204 9.73865377847861 167983.843768289 36344.5208335181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.94181452397349 5.4019509966786 15228.6945463483 9819.3056843189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.341267759774717 0.336028375793247 1.95657155618729 0.859932287313112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.369683208131261 0.368645699702689 0.553286350433494 0.393562069967923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.368404345275259 0.370665163618905 0.370440240814496 0.468237409173918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.545989128847417 0.546747268049616 0.599260036224144 1.28404799091507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.671235142888077 0.662350599200417 17.6203961730149 7.86368904092774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.649250061613341 0.660296370211748 1.518154023691 1.39789996151618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.699213390603774 0.704299525013722 1.08948727618366 1.79066779914554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.04244813708949 1.04191219332481 1.73322175940117 4.21094804593625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.798021488275737 0.819862081417239 151.049177476359 92.5007626135064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.09870988109156 10.2059502250817 80959.4039262181 425423.947012365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.0736166148683 9.511746882211 112321.406966919 22761.5122477071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.77133594564539 7.19904651530793 12478.9244839712 45089.0620602582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.392941903498764 0.373757099735971 4.36761040280637 0.994611917997278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.388017834931761 0.38508565891279 1.2152321670295 0.485476316788004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.379609717783104 0.382032681340519 0.415149461039882 0.513286657069929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.554385628530382 0.555462684508934 0.625140641759077 1.31949600752635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.710547745101375 0.752669711008572 8.19310313069099 11.5179523078132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.676162661964707 0.670870436245058 2.61516720417109 1.27853563664004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.708621560423713 0.713308474293089 1.14293125760942 1.80951928875195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.04410993528715 1.04600655264477 1.74997215908076 4.23229332297474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.22933719768012 1.45371555384941 317287.106125642 978.565405414645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.13157175469644 5.32321012457861 9974.59927862364 3359.57215715212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.24862156934653 9.04639884537546 6288.00748222708 20186.6157965359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.97199329519684 5.90775806205343 48068.2901972074 50933.8930164603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.601267682861089 0.599713829610469 10.9213407722962 13.3557489895048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.453709080891878 0.450634123395812 1.34603387384332 0.993932785991289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.426124895241053 0.430180805002794 0.598454152980148 0.710995618418874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.589416733525536 0.591588585990933 0.750317132472216 1.48054590016177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.12551628324626 1.35404198002602 79.4677061164064 222.144788576478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.742951883231451 0.73410827397418 3.16489057300154 1.83812703464975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.747220737088336 0.755765468580363 1.34310319847048 2.04355719288346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.05856601995099 1.06508563533297 1.85477692460479 4.34988457536411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.70668034502661 3.41145283449157 53729.6765534855 6520.25825800923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.6350927814394 23.5784215409901 1193160.38313434 4850506.62200015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.8335910068702 9.20987066675701 130082.472261413 90098.309288998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.93833929628785 7.54114006065235 16952.7360373675 59086.2691228528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.743208931912943 0.75790707929994 9.40208426744225 13.8057575797306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.507607551845431 0.508193955665596 1.69370053637076 1.23491131266398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.469947065935275 0.473844380462305 0.81409261020696 0.900174648692379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.62343050361696 0.621126328583783 0.88267225779852 1.61259388364515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.48305152323928 1.35087395311278 184.66067870923 122.185876810706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.79933127318259 0.792151965837178 3.69241623479428 2.71768670303153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.782333020132474 0.786659342221605 1.56065955711013 2.20528617761575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.07314472977364 1.07444301029995 1.95555577284715 4.39937355538388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.40148271877183 8.41171277176303 8771.90800712675 259491.432311118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.06907381518619 8.13820002905422 21444.1382976228 39808.1309784929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 15.0662752192963 10.1208986413277 829576.128366021 77250.4784708749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.90534067900699 4.95554528061863 4148.84588790458 6869.5967561106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.356798864798561 0.35614090956194 1.18122913115079 0.78444448687666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.377987096171587 0.378467513954476 0.597817877229468 0.439898303476204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.375827764337195 0.379767412809204 0.406455248287977 0.510120763732904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.55168869278646 0.553609166274542 0.615782032437993 1.31943171198852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.755679367948374 0.705941255204825 26.238513463495 9.87330051511348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.658326852078886 0.670732478465825 1.58522929592859 1.32802897388155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.705247464607688 0.712582923633993 1.12538844611041 1.82068645820033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.04344541956378 1.04427158196104 1.74651200827742 4.22416591792505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.02956721216297 1.28916541305819 197.328988292172 978.012705715849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.14733301916832 7.81237590818807 7198.44169944868 65901.8330541191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.6514387248854 8.99792783529401 110284.392515037 30886.5392930404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.99145856344249 4.05183416052652 48869.2668588068 3853.33494022915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.433000436142774 0.434855219559491 2.08837354784017 1.7422920655959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.403710876048574 0.4054590115164 0.821328369043445 0.716431700524511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.394490075755973 0.396441922019631 0.479210847920462 0.589832347328655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.565157214005732 0.564911704246174 0.656033995353679 1.36536397464842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.846255781469714 0.844764605380312 42.063266370095 31.0311028620006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.689711184843057 0.706266006542673 2.61591935066005 1.93579377816847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.717030545695733 0.725801111080266 1.18219859216749 1.8973554585678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.04699599296174 1.04867977559024 1.775031303967 4.23930446582035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.58494402324367 1.93858587895292 16284.0759326572 2406.0659243762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.41743060596612 7.66747893305904 91123.8554231051 38170.7800424905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.9325519456462 10.5672958533207 72517.3479374371 44477.3155020355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.0840636372981 4.03944619660103 1869.83309291908 1837.81616801782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.616883135352919 0.602463948113018 6.51292310777164 4.66482838575592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.460758090560798 0.447033142038153 1.26549110380051 0.827463944371873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.435795798412236 0.428826974115396 0.665563526616659 0.698541198186141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.59371598482186 0.590898430019805 0.762740663638201 1.48269370910666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.16990683789335 1.03615548961676 70.2563990193932 20.2934530600007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.737628572143385 0.743985669529149 2.45818078256357 2.02173909010317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.748088142486058 0.750498474722627 1.35628002425947 2.01363086501008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.05884281131181 1.06114296570007 1.85850604340795 4.31395095720875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.80987400646221 6.81622695550818 1875.54769002792 83563.5965437683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.699308650257 12.018499793842 211615.980270693 351935.608830402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.8573627037557 9.91637143351021 67383.7009691217 28077.2336105585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.27637503187026 5.13857586479273 10368.4618512653 5823.43031243298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12134831581133 1.1180953764562 14.9163986482287 11.1780078983818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.632805404683568 0.651940733324303 2.63166710995555 2.43034435615187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.562597094222559 0.567688736175093 1.24554503297801 1.35153731523026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.688436639522632 0.687373675753951 1.13577042707326 1.93226934131549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.20453290934849 1.87138394283975 384.19229869063 88.9346786286024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.916044845343379 0.935765238786366 5.16702949139062 3.93600829286995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.85487957558058 0.856077543986598 2.0428203964989 2.59238187113467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.10589947761461 1.10562404988183 2.21930409941676 4.56380254484975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 24.9216285029379 9.40307049518447 4430954.67144445 32344.730828486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.24589291723895 8.35222439336844 37098.8350886201 37787.4095353337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.38533113135016 7.14151854439221 2897.56627465604 8790.41184189771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.68028355875955 5.56558690394919 104530.813395698 21402.286995855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.69271765495655 1.60440777811819 42.4731923858157 25.9903277607765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.824117466610083 0.826027013545823 5.12526931187222 3.66734945540497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.675108043588783 0.677128788354952 1.82287977423246 1.8718094102478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.766829083521078 0.763870647690187 1.4828709485028 2.32983573265968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.84907758048033 2.67844116259396 302.512350765104 207.160505098841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.05786459112517 1.08800114817946 7.46627424551304 5.4890758404674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.933945111958724 0.933357460805044 2.56028613911152 3.02633873288231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.14247491504493 1.1443318125217 2.51394125014244 4.79208376750031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.7361074531717 14.8553017135286 82917.1369743563 148056.124793072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.74230928932405 8.58598539704465 46700.9840094539 21868.6127419833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.23641424586835 9.07938890440015 29701.3269014558 20901.6362976475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.02467071063252 5.2852058462247 9244.66646303936 8722.85613837777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0766758611692637 0.0752058262359582 0.036628137852191 0.0284656792785591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106123865418985 0.106277701553374 0.056609885311471 0.0336846112752841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.14180795273161 0.143109547199239 0.0764583793189762 0.0562235939185303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.165568946928311 0.167936977627188 0.0833164842142485 0.0960216681305767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.153139806135669 0.151056694642132 0.155392176061516 0.105730904846809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.217169589234563 0.217117598379279 0.233205041564287 0.145759377443777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.252928686026662 0.260259336654406 0.242458240437495 0.217553776207525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.275881380773829 0.282086746093323 0.229269286650615 0.321766881011922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0811708220125912 0.0820083779479651 0.0577209015100577 0.0441783776936909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.492583848641017 0.392697698573704 48.6649192744395 23.031373235048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.63431217895951 1.59786605177971 868.301021649312 1215.3089661032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.2810060377293 13.8946656922171 45617.8515299852 1231116.82497119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.112191681843555 0.103779131612045 0.678770950758101 0.161552832514322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116908666503036 0.115247303891665 0.197553930492628 0.0811628905099906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.14730798569093 0.147976973332472 0.108958183141901 0.0782369923746925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.170116423040612 0.171487051000651 0.100517831810979 0.107200074142512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.257138391882254 0.191955114078707 21.4176413546423 0.865489294342515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.230875215790524 0.227896493394112 0.412952380104742 0.209423997635245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.258181050434858 0.264272527399197 0.27256426996947 0.232350135597596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.280865493438844 0.284309278262425 0.247621966857861 0.327405638384712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.185634513063462 0.197771639194362 25.6231829593263 33.5249399081009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.483799964550939 0.404025696173908 20.3297257750359 21.929833381826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.28389533137856 1.33561606954414 243.566880286426 935.396484786435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.02335956244155 2.10026322834683 598.712515195249 871.59574544925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.171456123827035 0.193627211444595 2.12772271458731 4.76996437353575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141215505884478 0.143733667616147 0.351218712353966 0.874833833392968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.16529172706416 0.15940961852774 0.244158949823736 0.145040503298766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.183874411376255 0.179096126799628 0.178934724137345 0.130957552003374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.485326634045919 0.458105569858439 126.936384890929 63.4606740538639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.28843253567684 0.258159410287982 2.91004895530778 0.834163484270077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.283479460949741 0.275684229144724 0.653837140501902 0.31569222214598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.295101055484322 0.292443182059125 0.368660982848239 0.359936117198111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.18100915932926 3.76019299787172 2711.37458951694 72942.8221143199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.843034889335283 0.692636704315021 232.938684453034 132.120381026015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.17488513218174 1.11225893618099 162.100800154753 78.204173553115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.56172048100733 1.81789655720277 69.4954900794578 308.712376036141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.235008038413826 0.284036250381768 2.16500383293954 14.5486016702674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.173648097662063 0.177198943492761 0.813316928398738 2.79745732667952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.186439370449142 0.171274400308529 0.483440460375045 0.252218672067367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.200675147585263 0.186316649922557 0.329641372330773 0.167746491532077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.12093528376178 0.690051614570669 1902.93664578788 285.202532220209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.342617406453592 0.298903203583103 18.2061020896234 2.93379541462342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.303990203872479 0.288085514218875 0.974973797500958 0.430369655352801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.310515983455161 0.302027262979828 0.522276360781393 0.411383511156573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.23938733402614 1.02249088435669 891.959450771221 1209.539579651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.984204501478787 1.04290443787845 449.939404856331 468.726872959994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.07062105067147 1.12356534949118 48.8847663879339 60.5617001968911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.21203269162825 2.98021447711558 578.668699020332 3890.19558839661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.496970352100768 0.501664886082099 8.99868049480072 7.43806423984993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.265090097329342 0.293443755493376 1.89879815483067 3.5941036413736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.235213439170684 0.256018832674894 0.86620198461585 1.6665105471401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.236693045698473 0.24168684219974 0.564571145953112 0.529534482296403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.26101401157672 1.57484840419249 267.991298922191 839.970550455974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.491994902686915 0.519673280584131 17.4955797540932 17.5450206051555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.358883198433268 0.384069768832241 2.14806633455203 2.85888954268713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.347937132382259 0.350905466753954 0.968445306998067 0.712855611586856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.33240685243803 3.03923709941635 12276.5174123096 5276.72718144643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.69408248663949 2.8434140094036 1481.04406769059 5572.61176257055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.04066134310196 1.82592167466864 1137.82205401694 464.563614797334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.93550604391659 1.77485781546097 11328.2868295344 281.239968045613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.805386984986538 0.721162747326024 31.3419348970659 12.8056081224069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.390116883105006 0.354842175516331 6.40895261098054 2.69390011695953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.303093185119065 0.29670949989775 2.21341787487886 1.59649227033481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.27638439188761 0.273541952745239 0.82367680842531 0.701494858348569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.81715473077497 2.99744427694504 4240.10752702289 2425.35939170816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.767668397416855 0.896886768598383 118.831140166077 139.968621487881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.445881004887428 0.440474040062929 7.565928314874 3.19011501463967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.390615943083099 0.385563107991785 1.4974770955844 0.96444696221497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.94106575965222 28.7300658597533 19989.009324392 1620594.82712603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.28586916951043 7.58979180631325 1795.33333077202 97781.6391256299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.35534115779008 2.90789762009571 8166.9690553755 4038.60090796422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.13907238727308 2.35464884846097 967.634697384872 4044.44978607511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.177177357161566 0.167767888849997 0.95952134216229 0.463212425388709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140521100445026 0.137697726511013 0.351730655721478 0.231920479056644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.164896517700199 0.160192559746955 0.251802202979924 0.149702039528251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.184365567272526 0.181421219454855 0.184582839853495 0.14273464923167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.393051406985901 0.352323615783742 30.081499365652 25.5973141050166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.284463439705569 0.286745739414535 2.07853441985273 7.39525059541956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.282336996531926 0.283239683103087 0.565100723447071 0.561253712169315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.296571996078196 0.294208379797139 0.390196767144915 0.352526215537133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.753394772673173 0.279452497490149 1261.35054987683 13.9474044147436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.679440156259227 0.680139617726256 96.6027765073826 335.931282006939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.40175889669558 1.33849382279688 278.244311800842 211.321940905271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.40016353360553 2.56942000317669 2277.59718898276 3134.35874923948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.279136877077702 0.287362900215292 2.05492725827808 2.60321909368995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.181205987146338 0.180571148846593 0.731993603704247 0.654198108643984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.186432498365006 0.188812237655113 0.314584445751235 0.338112452423134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.200654923725716 0.202741411629785 0.216209368667816 0.243020431686456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.19703034654549 1.19049726837295 2322.16968936931 770.908659208034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.458336345460401 0.400048813818142 82.7698199015755 57.6714156778952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315693809528261 0.314166345747814 2.1936214704339 1.36468912247283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.31042306734954 0.314899106508023 0.403436603951631 0.526158892351951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.17873316495962 2.73619948288069 425754.344511894 4766.34529326381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.3424223014816 1.55348526086551 2128.41671298748 1678.65412413466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.41412348991479 1.97144060621833 63541.04708007 2095.95715656602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.33155174742935 2.17105345277735 1387.10016890127 1172.32867129326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.476469718793193 0.557043311433313 8.26288371187236 14.713739211616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.26575726113795 0.279790909222546 2.37027149582996 2.5044144029084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23325014424739 0.237205905606431 0.85495996636391 0.649921744111564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.233917972306069 0.235345101470771 0.443706492317036 0.393579430452029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.62380005709878 1.44615229294114 3544.77208101648 813.307009167922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.708995093623497 0.533706947936241 132.038600921864 99.1984497584374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.369224000962927 0.370378612550739 3.24731973388493 2.33886001149789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.342405325261566 0.353275305877986 0.60950523713731 0.843415141681239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.88577250541162 6.29006869913252 5328.68275573048 95570.7595679266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.16943496541287 3.00629813622633 16920.6375104677 11408.3249711688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.57699525875372 1.58870480634365 222.175914293002 362.028535205527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.20685271237592 2.06511309296483 1425.57182759248 665.252781236224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14381079477064 1.06070433487968 46.5973624788871 15.4251871964031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.502963507318369 0.509898478587647 5.99587295690712 4.24420961416266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.363038295356381 0.380207153394307 2.14966837681873 1.63858224577392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.323702619675456 0.335306307930506 1.00969923465509 0.952612580602323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.16295370321269 3.66733252215488 1492.92280676824 2010.83600665768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.14529448597708 0.970828784658018 303.51931409133 101.380613673818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.509472460739967 0.579485628688993 7.73319757792718 10.9367720043457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.432274874627485 0.450203376822148 1.78362770158125 1.59859781664163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.7037731732661 15.5913765065679 833928.419889608 190568.905017617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.24049127589623 4.69842856300613 7635.92503718791 12961.389915008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.89071219969571 2.59116227830666 6553.79996917346 2434.87066163834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.96740051118939 2.15022003100439 7142.42580042075 543.79353283536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.54317848067961 1.52210408233087 35.0344533938335 20.321551628107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.726374040334978 0.705315380976499 10.7738846958322 5.36359376960122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.496396752002885 0.501707185598572 3.16085615532267 2.36264799205661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.409308257171042 0.419190148707488 1.53566339754881 1.35536659174725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.40172898746379 5.16542098004363 1790.56361969301 2261.98072110098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.35634781007853 1.47990330017981 169.217447597951 193.084733283689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.63603628668194 0.702903499664431 8.93598450749528 11.6809207089296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.510394348486857 0.533939479088382 2.33268122460084 2.20617147227341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 50.0543028647328 16.0935798528467 9994530.95637997 46753.0289129978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.45255350954238 4.82650845148973 23260.1481209363 2882.08559375626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.26835995959245 3.96896687371812 14786.2253688636 25342.5137558786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.63170078675172 3.7045342771711 10080.771768254 7792.39619839347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0691356866639685 0.0677238647040033 0.0307867168671449 0.024990670214292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.102296953269869 0.100973715185512 0.0634846079538404 0.036548533465277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122628908601235 0.12334613731035 0.0693665596200161 0.0429557862327815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.136529653788846 0.137758163453807 0.0604890154992138 0.063920861183793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.145262212053316 0.141847775461603 0.145018721504148 0.0963043013713337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.192475787330134 0.190239254991216 0.200335207540746 0.11923656802232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.196492998645798 0.197603702239771 0.144345570977512 0.125223866754589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.253218996921431 0.252843303526206 0.167347927502796 0.279539038794607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0906858086396088 0.0898644620429403 0.128203027118536 0.118504025062783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.54333310193803 2.17423190571272 91368.680319718 26890.7125816307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.864362939503346 0.797987273427448 442.744638875955 129.19295511485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.819868304612123 0.828273128209243 78.686062700724 112.260878512948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11375436498903 0.127223025168525 2.78913167845093 6.86059188561739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114555309869713 0.1166365094244 0.287879843769824 0.43237245303957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.127484283872673 0.130802329467435 0.101217326397074 0.0893167585725863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.140547326484292 0.142534542685189 0.0852827538088646 0.0828072623114264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.251237088543138 0.208677411045874 24.4837170869899 5.0605553592983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.211002862034384 0.207626413810364 0.970999503443677 0.401597887124564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.204616968305333 0.204590719257669 0.258296506641824 0.160613105027604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.259406195552932 0.25702112032064 0.245311403170341 0.298737403503049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.30540140363012 0.236542926318051 6839.77082367796 40.6030348515437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.585233859275794 0.692920275161176 108.209608124833 322.989782500002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.672277461948137 0.690894521318242 25.8572952049975 24.8769455560087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.33749194383456 2.92339624176767 2419.27751636869 42901.7850845147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.121890105550183 0.139019326232653 1.0522739364909 2.86388958143583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.118006592323964 0.12103606571263 0.190588822651866 0.187649375780187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.130473594602041 0.135364878781337 0.10076030624597 0.112718432633739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142396788878559 0.146034666192859 0.0805781578132114 0.100949994571855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.380502721672743 0.228496484136237 127.399068131776 4.55739687966827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249518878208238 0.212411882542895 5.86645633889532 0.382789057833439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.22141964946271 0.210599137785031 1.21792166848821 0.249497331446597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.273850361837166 0.261402511162837 1.12304274351161 0.340802066085368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.80969105215928 3.38163020086908 23060.9616420145 56974.7529729773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.10499492605808 1.70503994623789 903.925518731104 7960.1020100296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.18177275220472 1.1788012552031 438.953339109981 953.068423589241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.834206576555192 0.745236455401162 80.2073092795015 32.4420890058512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.20092487177259 0.185766349996563 3.05580527805462 1.20692423090489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.143813104356878 0.143335040096185 0.426167596499563 0.326875278002474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143057917350059 0.14813311301611 0.177346430976716 0.191943961300661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.15049468722509 0.155289614798199 0.110128644796758 0.148015253812621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.657658270116735 0.446356634558311 242.425145786072 63.2769463065784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.255760151656763 0.26439727847323 1.9604467484733 2.0750364284181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.22563911003075 0.228556872571014 0.531847807426012 0.502514795286982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.276103312652983 0.271548287943175 0.503310404252114 0.443847649769455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.32194279499577 0.740803453074802 2014.06579658874 710.106125688023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.918484159377339 0.696067889679137 342.347957523241 61.8189648200319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.69356469659669 1.0931616951778 4368.43529444978 351.15265537073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.815560628727924 0.957753971263743 81.540825187612 182.843612913919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.432978531170199 0.581373093969943 6.53504631971351 75.5526113940931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.232939677711128 0.276381985376199 1.38860041647883 7.17341417534078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.197827833455399 0.214443005226088 0.774529283374981 1.58575670538126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.18833334481504 0.200286445995707 0.472552742154307 0.771359604086849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.40318876287945 1.28308415143322 661.281801562499 547.129277947909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.554623689244477 0.385701881381376 47.6331960485029 6.43564185804257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.328928023792717 0.293718861727234 5.29271972727599 2.25213537746014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.324266019811859 0.311548233445666 1.52062593696681 1.30094382211803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.54737471155872 2.83962753099468 117600.19885137 5057.29431093075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.23195910236542 1.38272849149944 2682.34691717342 733.791988797092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.3181412162486 2.08451526527359 3913.45892586731 5339.58998421465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.978415830003106 1.14418229523777 144.219288203736 343.5382238044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.621487417630692 0.658134085223697 8.36024664501171 8.63843939352814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.306290956786416 0.307426311349561 2.2260780990891 1.86784352309764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.244490566081861 0.240440695848998 1.29759205912725 1.13682308771363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.226610091970774 0.225836067918618 1.02995714235421 0.930202164845864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.65581965490398 2.07250888144522 540.470773841142 1067.24304295251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.565069242597309 0.643596412284865 24.0745532324726 51.6069523623332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.363519903964743 0.405768386454833 4.98202997951024 10.8738360192361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.359596799572151 0.389004957153329 2.58957149920781 4.66751590161091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.07790064155889 36.3676646239949 8444.02087322585 10638727.6499291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.31819660643457 168.898128426086 79110.9976527517 264742532.729252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.32395615578923 2.47685790292254 3581.01251481105 9704.44008329948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.3351971623787 1.93245938239892 502.240777260671 3889.2751578655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.160263929588784 0.17650351240787 0.790129272435269 3.31310385885476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13303413761973 0.130173625547936 0.344074225019754 0.267584778396306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.139584667787487 0.134935026435162 0.197206694135821 0.0708214847977504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.149651594095336 0.145689387338549 0.172094640405924 0.0818591068051585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.283558739167357 0.306614090993082 10.9337790237962 11.8631233628756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.235640470379988 0.223590766670636 2.10021752213653 0.282459490222958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.219041861738209 0.211486511499727 0.511447320023491 0.162892950003144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.268577108967201 0.261560813243128 0.387093061504987 0.305054189152867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.251606396105201 0.412711996340544 10.916848843059 76.1556229339727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.578374825897572 0.710185619140833 49.4406044867903 119.00574385844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.795593816833664 0.974597935782595 86.9482269425484 300.257121717585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.61024399414906 0.930844832792037 4825.81587025783 266.668280624297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.272715754472208 0.365156273612707 2.83596940758957 42.9266725226967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.188123017634628 0.183135661437351 2.52391665541368 2.36823579545959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.176364087544536 0.160703552340344 1.17989763459138 0.512796020328646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.174043374572135 0.161132224337122 0.486883803576257 0.187270582116182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.647118362639821 1.08129821523258 149.407066154459 699.800567455188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.362483138104175 0.371114329642279 14.8097101262055 27.4016816333811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.283746238083697 0.258756043724782 3.36260439943767 2.6463937498661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.300077031763067 0.275094081272436 0.983245290820912 0.407373487682962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.56231237256138 1.6941110799978 2318.60171242854 2565.06376828947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.805388586505009 1.11209835139277 126.591560523413 599.594309258851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.20206810780362 1.15131714675977 277.873441544065 561.888340308289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.79521553218011 0.754025394483293 33.9309136006982 28.3431008409879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.48819884560291 0.487336613081991 13.295613432635 13.0845182035367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.250425544562673 0.268881233648567 1.8152117730877 4.65912948580468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.20363089887335 0.214262184957356 0.734886792749287 1.85784199929623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.195001575257881 0.195158770930429 0.414587894759198 0.695399464304115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.36018967961491 1.44304605053874 416.116382664168 702.386664216588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.553528906296037 0.455184286689929 39.2101397647548 32.3538174923828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.363312986792713 0.33688994473887 7.84988205603974 9.58780587865445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.334682602623347 0.321881959313557 1.57226661566146 2.21959304257228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.0443518009167 6.28672725320648 283616.609443833 149993.627316635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.09509277745177 1.26414150372927 167.670919515177 381.470418439533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.8987480904536 19.2752833889846 1169714.27180691 2790750.23871556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.33364897682703 1.18589767788177 1301.26730026336 364.040988882411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06371909051414 1.07482289381743 21.4125142548365 31.7513627927752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.478131658951823 0.483852901396749 4.92799072171183 6.31773207322653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.338629043283243 0.358906752465196 2.29114629724421 3.28361060689295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.292917673163955 0.304209712200405 1.26308401899133 1.4629327080461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.46508748650136 3.52667651693457 2262.0272842386 3112.81312971105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.22325614238575 0.960017309932023 225.651397285204 133.552729397696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.605692176756014 0.503800519895824 26.4506663794848 11.2705815668367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.464369749674502 0.435529976933768 6.71761973328438 4.16855007876099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.90015355903667 7.5729141236391 86993.3213026736 34366.9956178622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.65994204378337 2.95669032766307 10550.0732404518 2867.23528955341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.87233057514272 1.94211998046607 559.925689380192 600.648402615452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.89791276802287 1.23255108611573 8143.82558901238 190.370403813337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.6801376438858 1.62648849910004 55.5531529679099 33.3692380092737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.765400553459373 0.728845376113969 19.0896474572684 9.34511381902535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.501466620544514 0.492474854490656 5.67033929156804 4.10669506495759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.391559582735754 0.405337617236228 2.14095860099885 2.27732375542079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.75971245043639 4.30991561525496 2033.20990511445 1645.58117735859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.47854646439862 1.36101476503877 163.005110092887 184.301096097017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.73991377799649 0.763909763219431 21.7262262551491 29.6797005173419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.522238303350041 0.597497598019946 4.40896480505864 10.082641004999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.7941516360465 18.2281416420431 70982.6112646515 225802.392384612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.750896906754 4.25549261588949 21331.7329015789 3425.77907840571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.49227046412665 3.01110450179871 935.360011944581 2806.7904323937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.68122929279718 2.55399411931431 308.247282148944 3547.46897803449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.125661105732596 0.124689224524438 0.04715087522436 0.0551789050686714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.163854543952209 0.163429775585814 0.0534711812283815 0.0880491339565104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.221332921115868 0.22216228352948 0.0582344020870395 0.20188673689343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.351007280508488 0.352752995699139 0.121647291577472 0.553629471784972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.272577566565197 0.270423463845852 0.21787767192952 0.192071962095468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.372103059878852 0.373138716723558 0.320179564248157 0.397208111819723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.43194398784519 0.433810150728112 0.272024760184872 0.689990415458552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.633836062942229 0.635488785987189 0.484943343115074 1.62779222885236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.102261537972749 0.101819032905521 0.102198364548114 0.0568937971871898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.260389840409419 0.255576576742699 0.175666760817562 0.172231344166829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.438804358034405 0.433753720283167 0.505798717763824 0.558235558339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.574863262112277 0.571281568033721 0.68381109173722 1.06105431718446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.151694739177899 0.139312781519002 0.55971087188763 0.136512759921047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.18211998143411 0.167626337220113 0.472743239512922 0.101043126567226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.229184316315367 0.224693839686178 0.135238289179758 0.212498036712362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.356077278644918 0.355239799974761 0.159111826672934 0.564956609387381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.325958070788092 0.296904703821901 3.19089637782416 1.09588258653331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.387899409656625 0.376238717577228 0.745255047236103 0.41960992012155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.437161523957912 0.437625806437489 0.318624606960764 0.723297733455885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.63750096748773 0.639025863264145 0.512337785795298 1.64765352811876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.188124058528673 0.167204820556892 7.71579051635451 3.53928966591371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.299635297364124 0.283355120942229 1.63186666528844 1.05709227532694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.451960951641474 0.4531775142918 0.744915813156683 0.973884417482949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.588740821735789 0.598994369836376 0.8833613648125 3.20674053655671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.159246922448316 0.162316420946885 0.303344192610144 0.401802596025753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175795415042796 0.18042969022486 0.149402360935734 0.289490365798594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.230229038840856 0.229489996737761 0.127602402249107 0.254470497285379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.358797007668192 0.35610418338796 0.167193345578811 0.563815206670433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.362633032077942 0.397043744570316 7.14482146507024 14.9374918566006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.401487323672163 0.386146120708856 1.03547801680335 0.546654423611111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.446875295358936 0.437378117364068 0.47051755590907 0.70675643658588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.641517239053664 0.637703158356256 0.540179301127649 1.63747053969124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.260084515349479 2.64381490219932 41.0516313783375 50033.0636750865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.333133253428191 0.347570179254736 4.56068049632161 10.6770126363797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.485621415972211 0.490463151955329 1.54437560424756 3.20477112946831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.652565920267577 0.610927560372546 17.7719378351976 2.58629715671693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.207857206533143 0.191826672645838 1.32069009851243 0.379017990515967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192234494957767 0.187668799096771 0.290708767848725 0.234241951738858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.238575189430892 0.234622494390731 0.157196101001286 0.261865482615357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.36521886902052 0.36044454696873 0.190241191819466 0.577627035599503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.452892333917117 0.47585681568047 15.3784873548823 39.8005693575667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.402677003668134 0.411610219519669 0.746638756130526 1.40592872944979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.448836863407958 0.440869592449092 0.421639728042785 0.734420772894993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.646316620032292 0.639781571209842 0.57464114819979 1.64395093908894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.395868533175911 0.258026924307731 53.8939207597038 7.75333364091191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.367607663189536 0.425575708756899 5.57897373557662 22.5368776966543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.50287883640981 0.523091207731783 2.05579210941069 4.9138122697636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.676214285495621 0.655313845230156 12.1663624914479 8.68390292049503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.45837423800662 0.39690998286517 9.36826245521938 3.68841514217336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.290771843898577 0.252213702760195 2.49474379681356 0.750516619167863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.283774845723787 0.276091256623267 0.568432363591996 0.485328180833359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.393033718464203 0.395518194389398 0.306187104880132 0.749567919404887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.937472789524706 1.05093802143117 311.629711051768 1276.05789219559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.484403974827193 0.470870576722227 2.47255872286311 1.54663884111393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.476540702177214 0.483944744586622 0.608298387085282 1.08595662593315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.662662823379324 0.670196576158986 0.650243533489389 1.84011564911994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.7283784027233 4.64942737068801 1431184.56580496 20767.3597316359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.818610540823938 0.787116316190586 213.826015382001 105.614613393656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.768277905372196 0.776576461727911 36.5530683230167 66.2327867756888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.863249307083211 0.929631882460545 23.6537890438918 72.5109860400751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.59614085410426 0.575646336855762 8.4307414325562 6.12143477248554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.325199163023897 0.306076807576563 1.57899074647745 1.02275353590993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.321087496031543 0.308283228077523 0.673902812203444 0.658383911131831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.428562419682253 0.422995592825278 0.475653255619398 0.88665686836975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24161885569669 1.15264166877804 252.533857873148 394.479425598506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.543178410190684 0.523503958425907 2.8730165204643 2.03253741790766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.5192543988041 0.513793505875617 0.931028768483506 1.31223044929156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.695693524662465 0.691200190254037 0.878111873182881 1.9405348574761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.02400187348915 2.17534351909072 84786.6738681935 2308.03275020624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.12780525890155 0.885831187455612 297.183255022633 65.7834299506654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.828290375367368 0.808190554834659 23.0087859925296 21.3303804286761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.885613370648574 0.958317460353898 10.6938288302561 22.7826142524438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.222635233526811 0.203749656405104 2.01526789769835 0.935759646892406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.201006914664676 0.193557643428089 0.557973575338627 0.328873065684928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241845746106218 0.24341679989854 0.242042523413837 0.340642059012414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.363790099224838 0.370206747679437 0.19382664436849 0.651496694776514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.513078632308162 0.424665563447338 31.8314209907625 16.125986721965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.407300963945981 0.413461677927336 0.825362850391782 1.03681498343219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.447849538445579 0.456879699948897 0.401470254707399 0.918577723067086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.641554568848321 0.650028123967603 0.53338139580371 1.71943399443715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.18073994843878 0.488894102805269 16664.0880295857 94.9899732778996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.604977493217543 0.383427619605488 462.929353435052 8.92755195204019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.4996571229055 0.498448450621813 2.44095598397517 1.8669665387721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.63516541479294 0.623033150442772 2.70955369819999 2.20012397736573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327034225316201 0.307972566810423 8.27399168455869 3.17968838548836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.238742573107343 0.234979431567226 0.963409463415814 1.04372041720343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.264271796443875 0.266597002810855 0.348058693790529 0.561193103181801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.381016177609869 0.385413613428418 0.270758013648804 0.736426704881934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.734728944882463 0.631263936919768 87.5931407520194 25.9396765652558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.455847990493386 0.461063253945138 1.89018748309895 1.96031156453717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.467689754965037 0.481902421353329 0.522542617500102 1.20012723102266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655322615911254 0.662363663777981 0.628164557928154 1.80560487517487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.38648290421613 1.13387555421663 1092.56070891524 444.380802113173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.1586772510527 1.01989453530277 23448.8914956754 1312.06650860756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.619258749716885 0.671772247774385 14.725482527507 27.7390996209008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.772744679998033 0.731948149148477 25.5775940254846 9.19410973892336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.474859973127368 0.445008639270174 6.33214181589457 4.55113796494336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.298163114669719 0.266539378749817 1.88301339389777 1.03350386935979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.303002381676546 0.279670356192609 0.793241805538217 0.508427429725194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.408197577764002 0.398486709509279 0.446641118743723 0.768684730329007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.19681929088326 0.946114463746069 266.780796302275 112.99921965074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.532669172568255 0.483819811692043 3.62685210828624 2.1147259576687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.498605913987062 0.487907080540642 0.855285406818251 1.08385158548247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.674879152101991 0.677092182912087 0.745399253393547 1.87185516352762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.38983704032384 7.41837967086423 1926.15490680072 141482.783656247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.12779600118088 1.36571388637898 433.159944616186 2300.15857047716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.38702293057824 1.16541968225793 3205.13800160583 1005.12296046383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.0948962447535 0.941780647057513 191.153730038152 70.4020952961709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06441369622384 1.04293156840189 17.5025470135795 15.6922411992988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.511933057987268 0.503160552947225 3.85264092000506 2.99245980087897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.423404779097106 0.427497805477185 1.61885480942648 1.39932515046657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.493809603230103 0.5064491756747 0.895044465134744 1.29358718056773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.99525521526643 2.26908529860887 228.106076883346 347.846864075817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.72113897009812 0.762691013075551 6.09181885759886 6.46485731128062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.589287837270266 0.616149028409139 1.63820676184552 2.0022685102632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.742724944839854 0.757832775986692 1.25295064228474 2.321986635519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.2121505375373 9.93468545239348 99999.4032718849 68511.1524042522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.93468431866671 3.79474692685521 36825.1225149551 9516.67258635733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.62284344588518 2.0388695659432 367.414799077136 3400.15980875567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.47706856769679 1.46505977906863 144.990059148568 247.210700906059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.59300234987875 1.52647342477758 28.8585265840807 24.1904977934285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.766389086222833 0.716122471860843 7.49425078798835 4.96389528970956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.579185059772055 0.555294557310105 3.15907694999804 2.41368644893554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.597616107947957 0.588794354962368 1.6459915029937 1.77352367296218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.95521552907559 3.13151653376628 291.659138242332 454.156472938813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.987261619400528 0.954371744346095 12.4040356733176 9.43105815162813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.71141467595205 0.713090092589904 2.93204549720155 2.78481622564554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.808698072314772 0.819071966609463 1.76811944073931 2.66775609392279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.38871374834068 9.86290962998337 9487.06685110132 13587.9425199275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.53482386723418 3.98905298381747 82139.6998149293 4109.66501149238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.13856386677999 2.39094792524425 474.325868028078 1038.74811025407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.70495252853758 1.90939143756056 4415.64972520096 188.134199524004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.129887136586086 0.12913031053221 0.103116677687682 0.0668684729311021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.18763996013236 0.186126841241218 0.16939234264219 0.0838970428271597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.22303549186686 0.222585868589188 0.165980638636098 0.130771168296666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.245000877293576 0.244736592726318 0.127748374195268 0.261493514050162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.248427956803903 0.246407489780223 0.392481194176668 0.230724508129109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.349323388290394 0.343622956811393 0.601514613106793 0.312075106129833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.339761625795223 0.339969245377518 0.357050883322946 0.400897977676638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.421826963766935 0.423097326785414 0.341133844503156 0.9129093193824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.16409313275707 0.16156646508883 0.170573810670024 0.0746020662863526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.768805965048922 0.803711747156724 29.1797658798932 178.927178958576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.59219072968593 7.91296336003849 36729.5196119191 52020.6091828957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.84025307566824 4.11863399561669 892.038935771164 1826.9640300979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.147982111351057 0.143618511968563 0.316285980863991 0.167473706050329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.194897799246575 0.195337881830548 0.280765219431247 0.2500424148904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.228347582479976 0.227811198340358 0.255655368810604 0.166831884936897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.249315232102594 0.247812959770381 0.176059866668986 0.274122375542231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.280126351981337 0.27541689290936 2.48728138105259 1.33099886577356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.360492795253206 0.355771976715491 0.986384474447994 0.486189417715805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.349266857794891 0.345314830791891 0.586198710609191 0.437405456316664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.429235947764501 0.426949307152208 0.465078762628974 0.939782188960276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.195094115372639 0.18967770858861 1.19216332427961 1.09167051896127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.753024061465933 0.671553397770335 9.18725064296591 1.93149993475039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.12830190611126 4.78979001962442 4545.53972514635 1178.69296191615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.17915013302877 15.7761189307054 110807.182738115 1226949.62837221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.165626601978496 0.161725138454708 0.393643558337671 0.317437730188055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.200724830062309 0.195225524306453 0.317591650467142 0.12513790915819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232326981525515 0.229238067851266 0.278226433208137 0.157416931339915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.253150436243678 0.250972190467992 0.184742782140663 0.282259704705277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.304587858932209 0.305555351719753 2.98423297399694 3.46200049606486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.36569932970797 0.35992644159562 0.958640925307007 0.559171855028516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.351388796273403 0.348813174599684 0.521400617741939 0.448457678271503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.431131252111318 0.429764973596415 0.442357883788931 0.947371286408996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.217404860908326 0.232086757575628 1.66263706044977 8.12600822790229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.780993880107841 0.746293193816852 13.857324889721 11.5866521638894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.81202337899515 7.95393242842569 6748.33387491228 90905.0226171051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.42939123072285 3.994700580008 4060.31072006902 2815.33173212614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.210724308489539 0.247225801197849 0.816324339607928 8.99000345010495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.216062799109911 0.23771405350653 0.476033629683088 4.86771796337808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243979732858652 0.242007778844455 0.387494162707291 0.247125977252008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.261674900500777 0.261533281261444 0.232338208344709 0.330219285596704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.38032999717884 0.431287076468711 8.23147810400502 21.1831349927671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.391033378894368 0.421492431727834 1.96287014450852 9.26044166655348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368204162861077 0.360083572168227 0.802043654424076 0.527921547457934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.43897524426751 0.439070291266471 0.512840987050939 1.01296129330757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.716415746679003 0.42000174432149 1072.43341789364 78.8629188208696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.11521510914087 0.923736884334854 275.349986660356 53.6534664421617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.8222005542502 13.0336956043372 29258.3426312213 229650.221811485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.06019981815148 9.88172429006923 20596.4640748092 164272.654964458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.553335279705626 0.458294292677945 77.6007488423736 8.26439130397723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.31504393054041 0.295769988824571 7.00161936943382 1.43949621169388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.282795802331815 0.286138517386776 0.597343132594771 0.4559480328316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.287508521274732 0.296768825488189 0.304596692068722 0.461300927567465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.48306809929201 1.25344924173404 138579.795756895 625.989647303563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.587483585523172 0.613240853998911 52.1153517396062 115.903849684742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.400671962990566 0.409595836144336 1.03792904609778 0.93905372951052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.458787921589754 0.469124903326612 0.622643832206021 1.19504197849482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.7394556218612 18.0092394544943 212926.314029597 701430.395386474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.53223387780808 3.28393274182046 7336.30355169192 8008.85109977157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.82969309330523 5.95606627904755 2927.01224631127 10852.0538190668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.15044548824007 5.62270857882002 2225.55624012504 8908.96779409126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.574833245424399 0.612579941365408 8.96235192690701 9.10634546696704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.346752461895469 0.363087330984016 2.73055220024281 2.56846190999951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.317498709689754 0.324616683715972 0.831078357125453 0.77340462716855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.320952347382361 0.320764807419263 0.520937861675598 0.576216873856378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.21347281442171 1.98506816744895 348.435909421072 3171.69161495855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.760056907755559 0.760031980233548 218.350131178447 135.989162640903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.448588188493668 0.434269668027197 1.7071245300176 1.29608567312552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.491793981581271 0.48218427747871 0.972267339231847 1.23997362608604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.45758230861826 2.07296660443109 10515.6667941599 1218.63642892898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.61995341553842 2.52114554729866 169.099038739798 1774.81193721356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.0283403685514 8.41326614416538 198389.611556323 44832.3886975525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.98497803024552 3.95409567000824 21109.6739189324 957.187542843461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.170396870885581 0.207396082530059 0.239550043382854 2.65006288407987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.195936871227161 0.210159651898219 0.189683615996802 0.421026347244105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.227054897943496 0.236903321666843 0.175038475601584 0.229954237285551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.249853592943887 0.255894600749623 0.137537816833591 0.322223522133503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.296166117160311 0.330495729317875 1.09642251078776 3.96094909456413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.358633633239614 0.365216691201299 0.678806031374685 0.564502341010601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.345361338936816 0.35317822091271 0.373806151695347 0.487897745363156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.425828349573488 0.431886792198999 0.356525380356599 0.979425066587483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.308108009342155 0.227147699022378 27.2594529501919 2.26894929475897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.894115627425399 0.733453447684868 183.248635870443 4.51672595994102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.8781663288137 31.2505568667574 148173.635747986 3729153.43544605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.20426850483893 4.24675587323895 345.680623978 2056.3243238176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.235779623268791 0.314960050653644 0.784549777814359 14.8144735790711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.212553205473744 0.249538047965257 0.255881301501545 1.85980430711664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.240134542345376 0.253637720720576 0.243769446195535 0.433111831376268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.261781898885863 0.264788997742552 0.185500082322912 0.349105568089589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.522435391482941 0.702576251241638 230.08301120523 240.601352477613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.376376192769261 0.419561942531668 0.815876373806023 6.32877214045434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.362302290248782 0.365362618396854 0.512059667988261 0.609437102256568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.439314522188886 0.437583789207493 0.444455450594437 1.02034455686775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.954056287613003 0.841164968658834 1820.97537552533 791.607289381164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.2820280264401 1.0454091714344 719.908342066376 119.743677561873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.3718734572632 4.38566094043246 1814.54267006873 1608.31611108382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.4294460086331 4.1102124975056 4118.70110282325 1854.73900469663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.490364335425569 0.508988928920494 43.1810078144439 21.4688281257457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.271539521583942 0.294011022432609 1.17018858413239 1.57200353879058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.271388876442741 0.279288167866689 0.407076631349958 0.430919697378311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.284248218645991 0.289447511401737 0.254125934830233 0.446176618710974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.792825724930951 0.76300427666354 116.283591260384 54.3839351412317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.449339595065346 0.438057150028659 2.5733727180575 2.05642096728092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.391069699520375 0.392141663522845 0.776289032145023 0.7598209053357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.455797023601358 0.458338656349215 0.513964288923835 1.1226653488131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.81107136931637 20.0708868146879 2433.78794367766 2713988.53761692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.65128556610947 3.14277845873101 1032.2932389344 22265.3739375954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.81971763324462 7.03035380344115 192340.304347306 18536.435556967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.83589405650337 3.4438285379401 4753.05211931483 448.178436172332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.09220003722344 1.11186428049658 106.227035487313 102.795851307553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.517202866781486 0.522459245684537 16.6134885523782 7.68624006908434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.402828477069517 0.415806397061996 1.74224908572006 1.57020470046642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.374730557148084 0.379294917691307 0.703637345173721 0.874213718070431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.74604960957566 2.65331114276595 1714.40523369777 2545.14740293992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.924985061721028 0.788303557898689 94.6913485284063 43.8752394015349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.515857280099223 0.532647903286555 2.83677833946865 2.52782175383462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.538666816845521 0.535115171196112 1.29707744543162 1.62606727308345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 37.8684114004872 11.2633977808928 8286507.22226302 56257.1692938076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.04720808370972 3.66758421729257 8743.67249142005 5469.41015896766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.70901146715839 5.74340113093241 14069.9196548982 23189.559109874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.6584161948603 4.60856272496309 22667.8005693458 5673.04664192767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35669234119442 1.43288456736108 32.9362732803696 39.0523326291902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.661722856754073 0.702251202449345 9.37193609301372 10.4140353948729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.485009239651097 0.512781725548879 2.07131335300791 2.24594262542082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.44072454738117 0.454701476910263 1.06386341120264 1.2104161598416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.63360677831254 2.5147655439904 888.361305651723 470.178770526894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.18554291424178 0.997382181146147 305.642447620858 47.2196141628244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.623465218845421 0.619225212847491 4.18071765401173 3.70071176980951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.60239501385774 0.601148809637708 1.90798121209219 1.96830472830191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.02066433927148 8.70625548458693 8565.04925962805 19316.7557191797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.18363689239077 6.39714507669606 3042.29825140228 19407.4770339764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.01974612466613 4.54609996463505 62222.5780557648 3376.77877569284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.84912955575752 3.52188132821487 3694.23075495199 1181.40485664583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.103161529517518 0.105264276363119 0.0270024105212912 0.0366773960337119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.128462908763183 0.130114028805006 0.0280763433410142 0.0669722734879014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.222490618189583 0.221784680603205 0.0516125959212396 0.235760449963617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.376110989250164 0.374352354531367 0.153961540617716 0.678352888779436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.220222765936174 0.221487444194436 0.147851914231564 0.130685337068508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.277916442106537 0.281953123127033 0.163337536504406 0.255866431619051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.384365638584591 0.38542956490843 0.201377256959643 0.634451613362845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.542083410039545 0.541828642253708 0.436212790872533 1.30505418659473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0750112248626181 0.0744443033114177 0.0148853757724618 0.0220399094750146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.157780456485715 0.160483035624064 0.0530299040045572 0.117908878903641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.289166906568303 0.293778172583891 0.133259164309041 0.434616123804327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.474414788611002 0.477669214789435 0.296782812633167 1.16131463214951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.111247821902483 0.110662674583587 0.0608130546807252 0.0477483545151984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131564058341972 0.130904167589429 0.0476870189626589 0.067773027480899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.225154624036862 0.222340753195568 0.0725837712399358 0.236517542556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.378883127388699 0.374883053732915 0.177199104555858 0.679526741572543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.229840154650815 0.2298131017535 0.202029103022179 0.197698190080651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.280411838751279 0.283680955456056 0.175963417555737 0.261319790180223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.38721965723959 0.386190923045531 0.225860933674396 0.635905882106999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.545399424934628 0.542730110929901 0.468469066966046 1.3077687317926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0850832089623392 0.0856547521552869 0.0295927544634312 0.0541708071354943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.273084800844437 1.2337670568022 105.012779072079 11003.6777484795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.302384389616003 0.303337504533262 1.21676509461657 0.646124511352275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.5574756071742 1.44814131286399 11458.4488985208 9180.73413499576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.127176569310068 0.122885770132158 0.179379123909724 0.0830877101059427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138315792187966 0.134711860814487 0.151977280798071 0.078863715463947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.228852750169836 0.224921005317464 0.129882010692349 0.248514222025953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.379813120742179 0.377690768413846 0.174936557887637 0.695924756771582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.261650268163264 0.250051313669894 1.77277925832227 0.685890130181712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.292004859808598 0.291638738948544 0.620833077621029 0.412114336326267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.387178827905139 0.394687957259882 0.21114215496753 0.753607407393406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.544646010992788 0.5496779903456 0.447258041052754 1.38889495630222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123411374100905 0.204635765150848 3.66192323932503 30.6732590211089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.18151115306405 0.181247455387503 0.925880268140544 0.575398623596986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.321989115628947 0.306684133068955 2.31966855153861 0.547629188215292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.485109048631236 0.483678285648696 0.519146360265773 1.1982754929346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.180539396942755 0.168376045092332 1.43653320235243 0.725870966230018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.15551323030812 0.149310689260949 0.319986135239206 0.182143134019467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.242797115066416 0.234855276575729 0.246264160263355 0.32353502673165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.392251896002219 0.385044334381806 0.281693909910302 0.746112197857143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.353601239495638 0.405684549331553 13.4459204855214 24.172253650682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.309841139655864 0.305635790532741 0.612670010977313 0.473932093435184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.400911383719294 0.401081334906824 0.354008728410757 0.764751074941561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.554232410410166 0.557066427241383 0.530792270062566 1.43737945203516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.354578043791445 0.575878998274385 113.803385457659 333.920942074208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.249508453780819 0.275384727586952 4.388242319268 12.5984539444858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.524967348694633 0.366397306089519 233.185894553635 5.85582789547754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.513908798992981 0.550264012133008 1.87395456187748 22.4501153359736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.383038793001834 0.340319139281605 8.79147980127512 4.42767607393418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.240078021633148 0.223444053263071 3.32186629571675 1.40011283178523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.288772729753347 0.283046054772358 1.14480025688792 0.971061627430294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.424838639623417 0.420746491923077 0.727466056128955 1.10671931481309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13306701476132 1.11853260997583 637.692089786415 447.933306043489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.422695005320683 0.428726123919018 5.18911878348617 5.16063904004439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.46416616886321 0.464905244436925 1.79434452501438 1.98812491115826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.595249795725085 0.600927627178516 1.14746301972813 2.0800474696963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.72785538584193 2.95024392982995 18374.6413746158 21852.3574030363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.848034082852062 1.65909377335777 181.54596997042 4496.12560043672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.13908360085397 0.79360440827541 16550.7658842302 244.548085219703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.926254963360696 0.905251433243265 783.124241693588 273.673384661083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.555749646229528 0.511208285704034 12.7894070251181 7.42328685972772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.298946861105472 0.275886929196002 3.80776424711896 1.53525766743086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.322305026357293 0.317183280115745 1.61636460157321 1.11554655802874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.447574473027373 0.44829893533461 0.904271220975279 1.31500974063618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11178700066961 1.25784124736783 119.921218568437 407.435727843461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.491630405146739 0.525497968420464 8.47861988368165 9.48906593708615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.48700066622254 0.514666087195239 1.94644405704111 2.70967535691867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.614873817916907 0.637728875679914 1.30027083331588 2.44052561016151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.37615888504986 2.7420899476795 16307.3859165391 2113.92177495041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.21895238983966 1.91761003254074 837.138598024332 2914.50651722539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.828433136369169 1.08514214407185 98.1324569111996 782.562399066836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.890897872068784 0.915352449625028 154.491063171225 132.197167991781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.167528817277061 0.155014002369617 2.36947998055269 0.783131509765972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.148401837586752 0.143236974965107 0.374645229782343 0.164338409901969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.231116515922702 0.229125136493284 0.13471781885669 0.275081976661649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.379793343978942 0.379996244535795 0.165181933360772 0.702836846597479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.383243766204526 0.407139530270913 79.051882756084 84.9369259460088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.303272973040438 0.300759038975159 0.783036160374371 0.659477904055847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.390295709563586 0.394759534657007 0.225316698008014 0.731793279123947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.546568966755541 0.548616822769476 0.455413890691426 1.36265862777818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.257589739467769 1.03071540403674 67.9525552035027 1774.34910330937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.250710612900075 0.206996449392876 32.9260985107565 1.74581513482869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.326482793483251 0.317564188963966 1.84091257850719 0.989441181484192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.507786172061296 0.493958916334032 1.64764978352047 2.04668770016499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.29304818697591 0.247921513861353 22.2000933076797 3.7920618014155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.1834585140676 0.187493473580763 0.972951568968659 1.92468416386651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.251112748664006 0.252683684873966 0.365043786619519 0.603940382733206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.393363955169451 0.398654423879321 0.261241699526554 0.942244432166634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.678348183652327 0.534118215478028 273.165788565435 40.4599026777695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.33693483875818 0.346062169229404 1.5883302956156 1.96679991518736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.41213957955799 0.416777160966547 0.540044501092492 1.0619607387912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.556386558859933 0.564452800609089 0.547868937492648 1.55394792770203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.13141280174128 0.987760099349095 1439.77516893781 1104.24210167195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.7398951571793 0.404930127496129 20244.2833522702 79.0652347817474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.42669002369438 0.357443684164178 33.1983748438905 2.06474492236462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.530279868163219 0.529404084611828 1.86178284140931 3.71279551212006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.430808387441652 0.359880752825565 22.4373410106469 3.36995717311917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.240080093294145 0.21357546696516 1.61644124628042 0.750419779913417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.29188113381999 0.267455546567677 0.846468687409772 0.516188277447129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.427349386083598 0.405450042834916 0.638902699361841 0.857155754238858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.919706894476993 0.967115951201261 203.323217763771 762.834800725604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.454911510668855 0.406374721585652 7.67321858418512 4.81223892928115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.472124251697809 0.430019724875954 1.85337408591207 0.99075559117393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.598677000715285 0.569888476942912 1.09318275265067 1.49104086954519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.1731253497235 119.012708242519 2702382.15654501 119310959.296421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.763534506069883 0.476592794561222 342.614735778802 40.9426300330585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.719370845692007 0.492686203655247 173.389625845281 13.5647005688785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.877483126496345 0.63349830973537 243.596449559646 14.1957708969118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.959333448010683 0.948039445075576 25.7976783218592 22.6852568026577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.488037152858586 0.448078406377454 7.29999922836258 3.93927168217713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.439402718978835 0.411539815442952 2.64723555555587 2.03698986103194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.532540761366806 0.509708460554733 1.64125428328263 1.73033952879713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.23632859466879 2.21810953175311 371.709045643956 507.505702988744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.701232238820775 0.806791657497373 13.6249336401214 22.7413053701126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.605786892462428 0.621911015706745 3.66969851884049 4.30717475357512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.699075962439657 0.688721067503875 2.29869758040961 2.9610414783468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.0114318300769 8.18458603313583 220474.364028572 63042.7610604541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.86739626663367 2.89829924494824 799.419397920116 12795.7927237758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.37190650103575 2.06257380155126 633.860045580503 7891.71923482237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.08195347275907 5.81374391053603 276584.979397967 207932.555229529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40727689024803 1.44668128855102 65.7279514573308 35.4597466297856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.638656057027739 0.692930751630475 7.19570666764082 7.84884244212962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.534910627945091 0.5535116554869 3.58159033204666 3.39231858524905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.604176451630156 0.6183207756281 2.34568923841633 2.76304918282712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.7058355734095 3.26165171079077 389.736094788621 741.794392032654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.845218750959704 0.967407111292222 14.9855028781326 18.7174797055584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.699735002764302 0.767701093125513 4.98653158506368 6.39351296360535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.768532249797058 0.79519542089098 3.0562637863985 4.0337723669039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 26.0968233641146 54.3223750989531 1392216.31489873 14378590.329644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.50489673364454 3.71655580374411 6460.46729330806 5269.17381470991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.82245048708896 1.54682023897099 595.112157081237 163.462263944632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.31617641280343 1.39637413241452 124.095561005808 357.993186155561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.200648165560091 0.199060885017016 0.226065728884952 0.129685305102907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.288411382385304 0.28790411280697 0.34558051605121 0.150810706006061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.368866426989278 0.370874566633808 0.524140250317168 0.408886637431672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.442771000703111 0.442611392971166 0.743670382454686 0.903855372607727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.381414342712551 0.376756386349054 0.778643977535826 0.431602650510601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.494148253894458 0.499022890860641 0.993607595667467 0.63858085858698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.577463960973511 0.580004858554587 1.19336264763415 1.30709159431124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661716919421966 0.660722921755536 1.37624092659779 2.16246580866875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.459168115045183 0.419000159312051 102.412211029078 37.6365405093083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.48052604815413 5.90233132142079 303913.293307774 360826.428044903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.2659546804797 2.15380407380853 940.314022334553 468.576573465808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.40246140334868 5.24705794236477 5737.27072766186 14361.2943632189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.230680596129989 0.229714736232658 0.781913849844584 0.776765622034104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.300457039281099 0.296490559753066 0.516255203812807 0.223212223094148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.37431468235207 0.374739206951714 0.562350274437579 0.424284612129773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.44599457225524 0.445141636888967 0.755086807628879 0.913301609836442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.51103937820615 0.485184384124384 42.1280087741952 85.5115529025192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.510331620822487 0.504446253996119 1.32217812300152 0.67073888284991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.581880776101497 0.581576014895543 1.22526803793585 1.31548753868459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.663114308893015 0.6614761481172 1.38185524792103 2.16699211557582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.672992932681469 1.42204362624851 412.758761326958 5461.6123290806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.81093963568164 2.49235655534063 1467.70108753075 9946.03008062295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.47653362349642 2.54014275321081 1030.71246626427 644.806529522973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.02159502790608 5.08202017937168 5008.14328142894 9425.8536695738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.265485742410271 0.26337911845073 2.58824603063 2.1872819755175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.306697695247567 0.306851706843078 0.562488082760101 0.428985011507233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.376932989961671 0.378683567873355 0.564885442240651 0.445959167766975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.447546668432069 0.44773309518923 0.754113836200998 0.924045965200542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.709937526916978 0.461464913362167 183.851523802669 7.52171389343434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.515750854371016 0.519453593972678 1.28014297330105 0.932972637370433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.583071211647259 0.585296464866434 1.21942290430253 1.34004091238095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.66332148671651 0.662980379754661 1.37958245066578 2.1764940280768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.78174646609239 5.53635478675735 81296.6093202654 320519.15890639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.12433569944965 1.82895496325391 3663.3846746099 1206.52149956662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.62348915580928 2.64820355937175 1482.81018412654 1306.03055728729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.56697809536192 4.68663682896079 28163.5079425731 21192.2731157282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.305978556782163 0.302739560231091 2.45812911554785 1.37424847270772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.317121418006202 0.317882359290949 0.584985363402515 0.371273269963164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.381594461974861 0.386651314688904 0.577845909314779 0.482678442110863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.450938008830163 0.453310122395134 0.761425275569993 0.943234079231456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.544816195163265 0.55343251163058 8.52404215319817 15.4616982450377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.524107931547254 0.533796887252883 1.28374776002747 1.05444348675228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.586146994805695 0.591815974068302 1.22715124268255 1.3696116847324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.664878667910816 0.666645986839145 1.38256507218233 2.19275953494131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.5275904501489 0.902829958676814 2711.73428308003 257.222265705697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.45245018916071 1.51059396135329 193.491902714229 240.90724557671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.86517637357741 2.7256472472907 2648.89997763664 1413.59763241167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.72206953798535 5.12447566606669 3639.28231089512 42437.5533512809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.5674457923455 0.486233349904394 33.2613450378395 3.78421554462306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.384871026999293 0.382370219220017 1.67956495925579 1.24547859638664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.413919715206803 0.418699998849409 0.769584950852255 0.619933091377581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.469490038650924 0.471774815042999 0.815317937380828 1.00789989199318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.44344740352859 1.36695664173558 956.492753039292 989.639167346014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.593631378130202 0.617524304521631 2.97817863838715 3.27025445621235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.606437411197617 0.615132013213554 1.34573489207871 1.47226165593699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.674257148401452 0.676547908640759 1.4086163338339 2.23723988525175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.4127212146623 5.34957496959267 24694.9220268935 51844.7063604056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.29449564363723 2.03083912800816 1405.26128739063 686.789889043886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.78663563176021 6.24322304606221 13788.7639206362 121643.09918595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.30544715662997 4.06546531222159 203605.751888581 17899.0780421926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.672981717633821 0.715823230318194 12.0963188033555 14.5252232279402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.428194358176804 0.45911888175508 1.85792341799356 2.44042653406902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.434100884367985 0.453118952025475 0.834163913830894 0.817940635323958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.48329143140212 0.490929926586314 0.857385099552254 1.09087756685489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.43200510404414 1.9909913631785 346.10744218264 2265.67923014697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.636515992021917 0.686916108415929 2.98480746983544 4.1402720020181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.619221052852521 0.635423116711246 1.38539837937082 1.58040131087327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.68022680611106 0.684816406278958 1.42783400420219 2.28431209010674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.99900616880139 6.54116588816654 16856.949505337 39348.4221672462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.16038757430425 4.68480120508585 33565.4779451925 26177.2751581361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.18240838302454 4.200164573242 4764.35486986515 28021.3563543811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.47322488073437 3.29311583302346 5193.3355453485 5737.21550813336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.347267238870737 0.333644341725758 17.7668292944686 7.90749069714656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.335773298834907 0.329555878730406 2.78304844105778 0.697124197928709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.38419806782236 0.391798197305511 0.606051197433274 0.519764489867508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.451092506557828 0.453026250290169 0.76997808672903 0.944098772697917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.755682020130997 0.743498415021912 156.652142241047 287.022610462976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.536993358218499 0.544250106478025 3.83111440186804 1.34375495892743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.587742371611134 0.593460419090199 1.24223794907639 1.38072856869814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.66500645053068 0.665187595719861 1.39007486810796 2.18704793113689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58550453523035 1.7762801455675 2054.51366588425 2685.23739520942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.09592422260821 1.96030231313205 3200.12693347569 4705.46423512867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.43937744801272 2.56075486226377 1037.02719972827 1320.05054453483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.75249527247208 3.83001976014469 2188.49552070685 2562.9368872411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.385752789494111 0.3597125001447 4.6418804367288 2.11325183855866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.343758198629146 0.343227465582391 1.04366933335686 0.677452569474262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.396065044954299 0.400320375545493 0.673887796528672 0.553859811676888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.460749543687572 0.460896139739453 0.799923581728307 0.980986645430632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.823640874048534 1.35942136236869 113.451191830173 6317.15794109746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.559114257183851 0.56093930959426 2.31587378787614 1.36036800223335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.597338682263913 0.599704922665466 1.2970099680067 1.41226609156858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.6701134846443 0.669008476097108 1.40558791105008 2.21348453177664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.41093357162823 2.70649024656972 22539.5273259962 15658.736789498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.93546407335071 1.49495879366177 2072.27461454057 164.346501256178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.18553668506442 3.46963112223813 3216.87601860029 6332.12381863346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.35170499433039 3.64634139821058 4983.76215428465 8381.74653525225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.564284167878391 0.565502560871547 11.3531898568817 13.4139139945268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.388117071969936 0.401628349885626 1.52689582000634 2.42419491453304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.415430295148376 0.422486721959002 0.752145868564583 0.669593817948559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.473027432662692 0.473944141294549 0.828847745161794 1.03413049167728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47772370344847 1.27173145510923 1835.28245526958 282.610312791734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.586393912026094 0.621465188676607 2.09088687011958 3.06351772751242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.608403159821091 0.613247495996273 1.32834672098819 1.48842519502182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.67692987444707 0.674147872767351 1.41630838846922 2.24224305606507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.26875005690352 3.09829505976791 35841.9780222574 4488.97409428385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.21224542309383 2.36832859825178 771.104118377704 1166.65267020628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.1495106635022 3.19116504305182 4500.42528039239 5526.00804410954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.15810970479392 10.1458328462835 351273.48976367 862109.392228951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.08555789733012 1.08306121644896 23.2959788410281 21.1243705791419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.559329012327984 0.567122947310005 3.18264733076795 3.01840237405254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.498236117772382 0.499427339964498 1.16981359362289 1.05963325423798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.524561211005409 0.521052548457511 0.98842958221113 1.25054162884994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.16501855455007 2.4602427358358 523.771531873141 737.887262976044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.760236288863971 0.765921517045971 5.75515241329678 4.43283110410569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.666408693144382 0.6613223015878 1.63024721190569 1.75361202125981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.704084828343836 0.696389724151974 1.49046344947301 2.37365599004236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.9208804478628 7.73695660370113 534438.952848968 15632.0095656856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.69795674791647 4.86706572940878 129365.777725558 29917.1098065617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.61293071963873 4.11582745922777 114402.931383112 12192.1516513755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 23.3650172915161 14.6095451583201 7276037.79194606 2631162.14314292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.56333454693703 1.51509219726186 38.8750637482251 23.9283867601919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.748505336402505 0.724280718955443 7.07225474616018 4.10060627223037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.582480628396676 0.573093130754163 1.63906194122642 1.41228078372442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.572224420620052 0.562012529173724 1.15551323279063 1.44474299949344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.34928436294061 3.05631235327539 1062.74905795592 605.713061898769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.941927967990853 0.909354859754161 15.1692573492803 7.55236839903971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.717069932174652 0.707597743001316 1.89479391811288 2.00353094657139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.727813391553822 0.717327971331072 1.5679679282842 2.49599442813474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 23.8171601404523 14.5918223689579 1326059.35553502 163448.17927015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.1482139610504 5.21744469652967 64177.0836578068 14987.5414452311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.98809941178834 3.4765962413761 6997.36262440422 1096.18148956952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.65176760656279 2.50194547777617 1632.94796187017 2134.73787359581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116100077012416 0.11681437016818 0.664750758215906 0.664021838744475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122002890141935 0.123054993623118 0.0380834872574136 0.0606721264853262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.200207315471524 0.201146279169862 0.0669741824552934 0.204999033347788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.328763117344438 0.329444694378793 0.156384402292474 0.566610883483565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.23090327083245 0.230871400148394 0.920653125320325 0.849615652197726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.237957540510128 0.240989389848494 0.172098237249811 0.169349661052636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.351095666823948 0.353732878207866 0.215124713877072 0.555469431972537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.501293306798382 0.502696745920111 0.417421824761577 1.23350911529168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0802744955723897 0.0833439889243429 0.25091049367037 0.275564596948113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.135817300592899 0.136736718889527 0.0694951711775535 0.103389153449086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.238496284342149 0.239880650936175 0.152658797693561 0.340521639423988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.398510418276061 0.400612778690356 0.31376041965473 0.931272916421228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.125654813178867 0.118868496576637 0.509954470901481 0.325030331216918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131110574849505 0.125217966551803 0.145873368303863 0.0647620129302705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.207402404948453 0.201262881255379 0.138809921702222 0.204658795854958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.335097737042051 0.329241919363781 0.21369550993241 0.564912196960607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.311499053873272 0.272587617337609 35.5924888924423 10.4088526762431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.251043855682348 0.243368123041549 0.485838246242317 0.174383305494884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.358598308989578 0.353446566276081 0.302409254625775 0.553080502588172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.507229935710868 0.501895750477237 0.474779056482064 1.22915076405981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.221869851536812 0.222577523574812 142.766565816405 91.4428106992332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.194893681113287 0.211702676029813 11.1492178101862 14.9624756080384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.278266367252858 0.267807254713623 2.88773320662542 5.78654113802786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.408140246174064 0.413838132406487 0.534846369185168 1.45725242904014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.145730640608191 0.133967912662901 0.777138267539307 0.326656130607893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.145300337474553 0.130951463323255 0.552626297745163 0.0870897888993419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.217199088276801 0.203818047730365 0.275106038891613 0.211358071106905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.34317121206221 0.330896472259349 0.291967319930648 0.570006970456354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.609074941715468 0.264584259087526 822.987298883472 2.16661803254137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.271274284409493 0.247924412956834 1.22005274580698 0.202311309830964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372101116578941 0.355258906906573 0.554204084225575 0.559562927603695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.522238088228618 0.502975715332655 0.803460876322512 1.23330196129558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.32756553801597 0.508118691350552 24854.909519751 550.96478146761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.278619806583259 0.193540952612886 37.2587505811468 4.93901741424778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.294256823965636 0.270714011046259 3.99526684775549 2.55157078945421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.417710526976575 0.437220470547387 0.841473386063198 3.72423477465056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.184366215566542 0.174353806725416 2.66624206424511 1.06204639103887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.159450675109015 0.150858103871902 1.85341286415736 0.387883235295394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.223372575986139 0.221551444127512 0.675207683140185 0.452984560586094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.341781965350349 0.347828712294813 0.288853574461589 0.786045432065944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.427293192375183 0.478209820729358 34.6638400917928 59.3095314112339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.379587963250676 0.289453980972173 23.2272776120932 2.90194318742423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.386178267619785 0.387787637610739 1.96973281515028 1.42274859003663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.510669042986943 0.535026997444307 0.508816115737257 1.97491621260754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.845446530539705 0.58985192592468 1565.18578172847 258.710763180052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.313650045274412 0.300714911273482 22.5392492159592 17.7633780679792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.384996616917884 0.44022615047331 15.6909359548081 225.453735851798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.458127407677573 0.455839537196108 3.3957297714574 3.26773675175183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.36051970554697 0.341022861008516 18.8270775322439 3.79116208936929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.221583663114963 0.203501498136297 2.73040126230766 0.813612876396709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.254958346255797 0.24981671831566 0.871580116044602 0.607501629185127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.3640858093137 0.367924507623561 0.431391120718852 0.88122961894886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45066521687199 1.35307317893051 1790.68339410593 2150.96443717538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.410950230267237 0.365845808859451 16.7435089037932 6.43495711828994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405091100598125 0.415175949847652 1.22777904076626 1.49298826749601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.536367472399962 0.552082551267242 0.826031559593482 1.86967132047957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.3043837367229 3.92077575455802 314141.093511127 17690.8975830979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.591970999049311 0.521754185394923 191.585449691555 76.9888891607867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.488704685987198 0.590997518582427 78.9570081228724 169.33123383223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.493307663511872 0.518822735284557 4.71171645884778 5.46423276580407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.568279797994302 0.577483459584182 98.7691397692046 47.9780285735974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.261561722486848 0.281329506952668 3.58472811835821 3.7887026629456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.273536634631224 0.285860693482182 0.848028662648883 1.28406485440945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.381097428893351 0.391547988665771 0.646350332397643 1.26469855259538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.36832611011888 1.9206752297014 7308.5108201011 3154.78470248131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.500860451767407 0.443928417673638 34.3849293612477 10.230203319579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.446339661100159 0.449330083309751 2.55072855591499 2.55823676982576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558967473309641 0.579067185660822 1.23940359852336 2.45023724174243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.48452437015642 4.24320198255072 14047.3049667614 23314.7659368113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.93075892797999 0.992436873831582 6614.71754101042 468.554591391696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.821026502400342 4.46400930442005 567.724402370725 122917.668535849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.59197911125303 0.551769877133191 10.9431637993771 6.19519887924499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.168111910647225 0.171069054979163 1.56058911681803 1.21694121546587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.144053285269067 0.148650234240804 0.495899097671043 0.401354413728407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212282791807055 0.219853049601254 0.27623782799131 0.455109563008263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.335135169131529 0.346029077846628 0.20646782081721 0.774700698727109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.539552124445669 0.513586924334611 475.126861270318 151.240423106137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.286664029176867 0.317197408744383 10.6061390263358 7.52060248857008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.361174338679171 0.393937665427303 0.376227912277828 2.10669275050447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.5044407005248 0.537341722997537 0.432522522675938 2.16771263203881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.565725542197525 1.98896821018168 241.295165377883 23626.9312949294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.269051145286192 0.43910019523517 20.7551047610665 157.706217804664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.287674010212303 0.501141204035556 2.30466095312789 169.535298934067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.424796348512904 0.4692646980272 1.14207083312585 8.88913351327732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.250292279142278 0.225538602562695 4.32485165197742 1.61704084125412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178399755391843 0.170911648180945 1.19061424849821 0.564693101548617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.236845503146367 0.234084688706145 0.643370129871519 0.509983514153858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.356623539047625 0.356179515755408 0.487468117270677 0.805926230902256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.576352349846674 0.987519030563983 162.134675937365 3264.59950191847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.3057877255507 0.313252803525054 2.63763320334771 2.18020279268605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.389378096847885 0.409571206799722 1.08489938720848 1.75754764499429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.530609703818384 0.554691378744203 0.90550145635241 2.49618506550397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.993607614018291 2.1460340415845 909.776960847785 9457.99231479881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.627755579207713 0.333341446228876 1065.89183394779 29.9079873278576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.424366474020189 0.355792419578632 108.900328100434 7.9812998092868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.502671509430754 0.553212852216528 12.856076060422 47.3176849127221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.338399138124026 0.400503434122833 3.89425435783185 29.3962193704423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.211738863411042 0.228297806079283 1.34846630174411 1.79371476113703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.258974949420201 0.262779532552006 0.757246855649971 0.992292698224445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.377410241345872 0.377315002751764 0.696893215106198 1.14875207029619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.633291212321045 1.03159692299145 33.9417592974018 1000.60197953474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.352387428493091 0.405852406482001 3.50639453252188 6.61066219777101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.42489512644328 0.464649047547506 1.9430134578512 3.91710284404995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.56074211313617 0.573738719489999 1.39607742428518 2.72867820813118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36903430532331 1.39510995596789 1060.41706607751 1417.7580130541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.418315642510484 0.548157258328839 22.486552023788 187.323886507744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.479503909048388 0.448092172991035 23.6634455289865 14.4520231458858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.725005118656713 0.656578689623791 197.840083386542 56.1639544640232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.860627982222799 0.853303062629538 31.429034558294 22.9806719402094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.412696730738908 0.439009201128769 5.0626761503016 5.55510432992792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.377254559365685 0.395942612254776 2.54654370476757 2.96861008845991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.459575694989371 0.474547602642534 1.69313030892341 2.34777928635907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.71937251188213 2.23358767311317 2822.12481697229 962.35918234289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.633972860392998 0.717984012404778 20.1049341751058 40.5298250777537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.577014233122733 0.597135657107161 5.95275570180439 6.41399116757573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.672809610625907 0.677882007692713 3.76482784475463 4.42337712486685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.16305581753552 9.20601831547984 26804.7697623461 70980.5373491052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.28795442868787 4.14698860571983 4753.64372326621 58433.3238544729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.57967408116732 1.57314147880625 5052.8796001288 5556.21187695207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.32477424529368 1.16151349710688 1528.1228768445 950.401098109184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.21505025969055 1.19432882196976 40.9427750458323 18.9538428297987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.586328538785062 0.597954247592435 7.40927305017841 6.71903503837892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.49161346181624 0.488968772610833 3.97983666763609 3.624364325125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.543470973149817 0.533879128428524 2.61916567752571 2.66163833592169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.52137843483398 3.01135408524788 410.381769840262 1089.0618355664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.897046732240018 0.871051776384809 37.2772928914755 33.9835768646342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.687149133961843 0.689144357685213 8.10155779760508 7.97109616622381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.751405839565081 0.738869055625348 4.82514574106973 4.92704938972652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.4426866038886 10.7231416367644 352541.919330463 61530.5377983716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.46713707156977 7.39998406961194 1175.09569485826 180095.319113133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.73765328738461 1.35850103589568 17762.747387079 362.176273771773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.16072800783904 0.978651734463494 179.56589023935 38.4822368589773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0790481133082605 0.0793990532774912 0.212802400667154 0.219456917739762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.10357250549667 0.103621443110338 0.0153103996706743 0.0485977168244194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.189295483813117 0.189724868489752 0.035194894468164 0.166762334580598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.29075423941375 0.291274473119403 0.0851554311318883 0.387398644847859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.148577205728253 0.148503202179567 0.617845278528482 0.613611568295895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.193065855718364 0.192630122821853 0.0656234144948057 0.141791921259592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.300437930054018 0.300814002690428 0.106921763212703 0.393525705280106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.421173762217455 0.4217205802073 0.206791135977273 0.758936910229928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0938430490586183 0.0936209527688103 1.88167330730999 1.91804099645888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.149317653831796 0.150352801974332 0.0253037206682073 0.111100249844677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.279201362898027 0.28130716683941 0.0766110742792322 0.37488215630655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.416088870107182 0.416127592212189 0.214328611792434 0.793421033430437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0826490498848551 0.0871169106148554 0.1690208382437 0.372131529307678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.107055768903884 0.105838428481089 0.07840053818495 0.063106987401812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.195205929658553 0.190328602594879 0.195571331311815 0.168240670157455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.296999570683611 0.291381183293179 0.262627169741502 0.387267398383042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.183997268239242 0.180271815543474 7.19382420656186 4.52779463799077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.202852939771914 0.19334528945471 0.525482180770463 0.146909634398378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.312846650337015 0.301262673859887 0.664251634029519 0.394895825640209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.432252023928716 0.421973937628581 0.624782167470863 0.759242738671031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.206439469236053 0.16957930535699 93.6049665888033 72.0326666248429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152755655045176 0.177706785216915 0.115976384986389 4.32654812826347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.284107820000752 0.290045021607883 0.198698364043091 0.909930237253152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.430834416893282 0.417261757829027 1.08572945938074 0.800785586262734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.104124514407051 0.134158766605082 0.910668380094215 9.23467504829632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.111744214946523 0.121239292445104 0.127196075757373 0.572771553088775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.194807119673482 0.197519432785254 0.137258553605871 0.278864001958151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.294446657803963 0.295261217120617 0.131705022198247 0.420224152547091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.256691201796465 0.279506610505396 31.3202303173238 68.9100012196637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215971920611419 0.207714328139702 1.99723577328549 1.24877820255483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.307774708491989 0.307689805867234 0.31302157012635 0.567593373919996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.423791637778108 0.424300872033903 0.237684401326218 0.77555515524849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.683068120564122 0.211949760842267 2756.73060475961 41.1995367219875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.234303862738623 0.176635890090442 62.1233685023911 5.9070833691088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.325453949745381 0.286005669329631 23.0406878204266 0.651091659618655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.418522186396336 0.41833384779247 0.222285351502813 0.837522090154055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.158584997645541 0.138793303124288 9.54074401024065 2.54650966482585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.127659333058627 0.123123483691984 0.552421885599318 0.467358902811936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204463309699747 0.200163679037112 0.339356665888651 0.33098745983334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.301163709847698 0.298412203778562 0.251412576657254 0.490985875068013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.492306387706419 0.353115419396112 336.840956677674 93.2256661606006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.253218251911754 0.229942923139778 10.488102731327 4.82162753678128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.328148210769659 0.312475497295751 2.11709385282508 0.635407402301887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.436471836002128 0.428894496161069 0.852161164036865 0.870065398224201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.589981584126945 0.785280222064692 1316.11965234496 2860.97838800294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.276584569922911 0.232656238307481 95.2032170930734 37.5431715000326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.298976513110171 0.309146383992556 0.891460726939225 3.16376768685024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.442827067660665 0.443660511774411 7.00202831294309 4.096998685465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.275904952369328 0.270340118171416 2.40949600931194 4.73102417151005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.171493309061062 0.164766944864615 1.03199805687369 1.38965707902551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.227671835304138 0.22241637550773 0.777346711211367 0.859837155007712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.318304269156615 0.314003431705928 0.625650011026568 0.743382166617244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.533593512123902 0.454268585471944 65.2549718648924 25.1425730884143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.276559012433383 0.289960690173955 2.73350857663485 5.70446874780042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.345411191845266 0.342574633352565 1.42926236370429 1.28671584654177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.449665267312181 0.445656496155321 0.804170727339755 1.06957054177046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.514823488674777 0.478958510909256 65.7799567564954 122.083071187371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.527652304173005 0.331266924734792 664.025530096108 52.8827820129987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.405412564265646 1.11323238934899 31.3198184085407 6604.73064080185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.44889348366447 0.468284012656215 1.33100810358518 5.75193902228929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.468450932122006 0.457233082404342 15.837837313602 8.2522643160938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.233977554670336 0.231612421168841 2.08222120808431 1.86744594869535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.262036139139224 0.260690107300477 1.08095536527451 1.2381907131208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.343415736090755 0.341055838122727 0.785186417210759 1.01191242171149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.985452165543789 0.93667964237605 171.298649176936 174.911188674654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.391479778614674 0.426845589918929 10.8072198078896 18.3027499070495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.411494591667358 0.398167798033581 3.77875527153039 3.00459947879238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.487904369966244 0.487823346992617 1.65381587788694 2.02072825437406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.60146410772146 5.63175284983933 2426.74622696027 118884.121387285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.701696109454735 0.740801733711387 186.73562774383 675.594720349667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.542560762351329 0.523718538303177 30.7299491856829 47.5631928806499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.571159419216695 0.60538736853954 21.2743277054068 27.9414152206162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116059116623196 0.117056423619315 0.551406989323637 0.528198133970673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.11672524941029 0.114252654077044 0.187098983558972 0.0954904117022452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.195914642699624 0.194528676918943 0.138134817894459 0.190094265114846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.294998570584669 0.294574512046194 0.15991901233639 0.403085715755129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.233417478501684 0.23825658259068 7.92421393633422 13.338001081993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.227021127306081 0.203186476886688 2.64167593445436 0.194524548594226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.308779518331759 0.314849171881895 0.335672861699833 1.08760393581593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.427084300286631 0.431134783835708 0.348328653498111 1.02664564867764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.20313699125546 0.216057022427774 25.4659823053315 30.543078948561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.211626700872302 0.17398720898909 26.7807164201682 1.86399117187477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.300147828679596 0.302661241332169 2.28149786847292 2.15264733780574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.421613471391726 0.421527301034293 0.294566269240045 0.926104728106356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.203917555168839 0.180879455603011 3.61245692127362 1.27970708273681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158144353602839 0.139287016886076 1.61525430514082 0.390908731335027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.222068757486242 0.211168536902649 0.841946178628164 0.405314043558047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.311260148494007 0.307648133501385 0.418502713960481 0.555169614517672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.677002906207538 0.627194457849865 367.387750051643 358.349767834764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.298802101289356 0.300982318853064 8.56716910765146 31.3400844458496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.345958453634419 0.338181510132662 2.01424830596778 1.40263766068913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.441197853005841 0.445412431760201 0.668377836216304 1.10493397541792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.72287465747764 0.485204785076791 5186.74942944093 126.861195140796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.803370207950788 0.642106945503614 1627.91575340389 1365.01337898209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.353004877768081 0.378011733169908 13.7295580683543 19.386095383518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.437112070341554 0.438126675767525 0.68441300900019 1.41758425478369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.331895436994756 0.316369956437516 5.84231092889961 4.90710062429659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.205060144886517 0.193878890276691 2.35644681941483 2.29244415164331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.249285326920592 0.241139943966329 1.51370325575142 1.07180368238186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.334087814185521 0.32847903837849 0.927075551722568 0.884117803820789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.662980494017665 1.07437586011984 88.6571551474738 586.712649061369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.371714079273253 0.363509637675017 14.3612667799796 23.055498196201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.38337821252776 0.385999968820252 3.58987345690866 3.44910136292751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.468716560811088 0.480639215696179 1.53542562137449 2.41427737393529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.948465960766301 3.02487804248991 651.933188540702 16075.4367038984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.500515928731659 1.05295850178414 175.338418016138 5533.66405891379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.395718225730637 0.395821228539426 11.7588085406256 7.25961397253883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.475094262437854 0.495337435668654 3.00302842709839 5.22719207349032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.825933676615303 0.816505723535867 27.0953816951268 16.1288602325531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.406359794063919 0.401035697672658 6.47552996303836 4.84314300487328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.360950245683127 0.369230804222005 2.6159743782821 2.94677011016386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415904844126338 0.424674486455964 1.87304487980237 2.11991832150459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.30006574870964 2.65009588637387 968.18656330215 3224.35258716665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.752924513029994 0.690757471779446 45.6090321703186 29.5752449314562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.573197543859891 0.548443961633496 10.0112030553723 7.84142668136375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.607416810837003 0.605281891901279 4.81351227657658 5.4704323554125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.88246740043686 16.0134766439943 222764.588239782 393418.849963144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.43501591330422 3.48686358996136 404.331362571009 35350.6838254976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.01909306617971 1.08980812142065 141.727951148217 340.410950131771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.10535121009821 1.04051653786793 1640.19133088489 413.546806915278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16973221855315 1.18154839925704 23.4838368053071 22.6057877129117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.566488294039356 0.583177437206632 7.79347756335965 7.93523521704932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.465436325879994 0.483924988687914 4.40939258442691 5.26054453026948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.492661312123683 0.508415992139366 2.9792903688972 3.9656327587542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.90322546295352 2.76982208511008 830.444198584234 640.19033336819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.926509642065931 0.944159979246002 43.7154704979549 46.170348147044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.707503831494479 0.707358313956812 13.9459378675633 13.4305363436067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.700613379598119 0.708194957496817 7.65982906266261 8.49118100885211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.5769955475763 12.7938443759553 1094093.04115897 369883.323221164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.35861390699826 3.28732254389726 1943.29775721988 8040.02964767826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.48762483013911 1.60587559942097 406.27646647752 580.414461957584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.01741757883974 1.44326701418633 196.82983958268 1582.30730451633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0610956406905868 0.0589448379768196 0.110579818891385 0.0787868832636884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0397073861986329 0.039437410867236 0.0115698939082364 0.0117701454801374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0513422423658555 0.0513585149991881 0.00933114173158 0.0118529642043851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0718285515431898 0.071711785685579 0.0153537314583022 0.0224567385917972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0979402241556689 0.0955262501787142 0.213706417972051 0.175792198250377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0932893137273941 0.0933808308375297 0.0501444857711364 0.0477980016010648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.121557301049128 0.121893058168103 0.0561505012089053 0.0554529599705904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16190672193824 0.161502753880818 0.0837418442243598 0.0898803669705809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0509465295442209 0.0513001467869193 0.0848835090004811 0.0886699111158222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0377884796073964 0.0378175699371798 0.00838561460114318 0.0106177921404049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0633919639481952 0.0630253395451467 0.014008986021942 0.0217730793292714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0955838684983655 0.0952908581218685 0.0270649588233706 0.0471550414464901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.140017145728665 0.161755707572311 2.60457047722836 14.4510848689739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0741176176995682 0.085137128452232 1.27386908472738 8.41514713995123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0737310820501295 0.076590231826581 0.830309288910852 2.62355378469547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0875269958950544 0.0847358920057022 0.489391623668035 0.428761139105617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.93355326585354 0.424328553773262 46609.3919668348 828.970691465741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.455471503939274 0.16518857620502 1465.79323757985 21.06797190039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.238485381170742 0.149085050140058 110.72063103345 1.83153879502506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.217442814496527 0.176388481512562 17.8818850875979 0.527197561437842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.15391549261186 1.25355508003695 183420.619401155 14436.4574512375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.746615830361032 0.305188451528035 4944.63509018998 637.500190245499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.67039029678331 0.340348005868659 5193.04685808621 1393.24614096793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.21921150278072 0.179889966532075 50.881762840357 122.537201750628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.26727491793388 0.287779088020915 14.0046512433667 18.1653852034428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137023713294025 0.134077912635441 10.3360509777894 5.46609857697481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115292156379226 0.122410659043051 5.53128280236461 5.04070404471262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.118398179437609 0.128163069927315 2.98100739006036 3.72080918076032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.73456023182495 1.26847303776441 49754.5290495907 3799.21889358506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.54328796646679 0.35447452082524 752.687413145173 90.1249221472578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.283474794821328 0.250198625210861 77.1587163053515 17.3027120118841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.237830348137689 0.246324862813615 11.3095933571081 6.25078078319922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 39.9560745402254 5.03894133973283 52126731.156308 212207.969286243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.4488434334833 1.20022075049057 5584664.92486282 23166.9046972874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.268953735799393 0.469362847013577 89.4661653296772 808.268676969634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.45223158598312 0.653548604517046 604.220682309889 3923.87738985255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.480951987823569 0.450007841026526 36.9610453720621 13.8931745375511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.213099713540189 0.198361744499192 17.4896254057951 4.70938784953466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.15536422195036 0.158444635626675 6.47300800088589 3.85248767996834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142576344692439 0.154771890171075 2.76628984033592 3.39389683031993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.15911085507988 2.17729135617676 14234.677472515 8217.37500507697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.743620146913328 0.649900109873214 1635.89984769418 474.891687170295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.36958230972587 0.400701882341988 133.98066606351 84.368864836739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.277536308382545 0.322547149823284 14.7399497379733 17.6167701730912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 46.6951106162917 3.40207924033723 75041722.6084158 38907.0005976233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.824078311728612 1.21570657510134 900.39865365025 8261.38311416382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.602552846580913 0.450910607953847 402.968712802202 264.895229255846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.441503487015505 0.52566836401651 305.914707352033 905.642842193182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.33460497672859 1.13138706669489 268.139419684013 45.5119145577941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.609820319272219 0.496137586663662 76.5313008921511 16.7498947583522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.418243437183616 0.345719899816924 33.3162620998646 9.25423290923552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.334628463693536 0.289893579652494 17.4264468647539 6.6354929573961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.56487465247892 7.36078857892518 51732.5571380567 58532.2352712622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.62486162272796 1.38070209644725 1321.29708467859 569.102169640653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.806005151982217 0.727515412964435 174.826384635177 98.6094764416048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.533245508418668 0.549012939487012 37.665822624336 36.0063192745938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.0148822261677 55.2662216586047 626641.415585252 53389318.7017132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.64472474405147 17.5872533323185 587747.0333661 7108784.57284693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.81054003357939 10.1257043481364 33930.6994773726 2711195.24831242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.21195577519995 1.09228911568953 1310.90491798957 630.649391529799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.96713438812853 2.05408732811281 183.29719242639 404.240466053985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.901968784358167 0.997172227278816 74.8171666907685 226.388868014296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.618411286578578 0.69035202255495 39.8917181974319 153.093284438407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.479836063418747 0.528103631068493 21.5164038055902 90.5640312230159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.1722410060526 9.05986760170043 55129.3768111988 45286.8947540074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.13280653240942 2.44359387088466 1006.01475147351 1510.60530897964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.08436703977385 1.21792352357716 196.808581081163 319.187275137902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.758497908344042 0.754444194091216 69.4181034363985 47.2780832383888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 40.3357763909166 75.74643963184 6810351.72229141 29431709.6612945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 68.9874046220315 28.5360389009244 149916012.744395 8256068.37486626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.5439675528846 4.78533361965417 40987.5015579491 47779.8854084804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.9377204635402 8.31869667563609 1551752.26699997 963026.378112499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.345178601312167 0.434556715307436 7.40018798611963 96.4130518311053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.157055982163949 0.196035317783057 5.15193055379655 19.4935097549137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.123620707214745 0.149577177891951 2.5864821702763 7.08006068362877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122892537007471 0.14295026205749 1.50945873870485 3.47201319797029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.07964177487291 2.93081388991864 70154.7471728738 29077.649517939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394055969951433 1.04259809677579 108.62889109192 3941.58362542989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.252965104780581 0.546590619372946 14.242440364234 832.873713138744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.248312565312585 0.283215526754672 6.71587192084585 14.2306724523424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.4301861534785 66.2401803116511 2096391.18844058 102070750.103176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.36695648040761 24.1456394910997 75155.1393638737 22435300.0775195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.23969288684324 0.573385933977948 14089.6555460315 1001.8593129432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.965993586869663 1.15519709854078 6528.24303945391 22295.4018410343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.69177080663415 0.624134294741517 48.2574218954328 17.0058174569607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.287613034862896 0.266424511951334 14.6135729014567 12.5576274040866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.207266713892805 0.193007824332125 7.39813229123891 8.01420947942042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.183322410131461 0.1717393098198 4.53949077593182 3.91754746859042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.18157820470687 3.80808085940385 4994.88708312 27004.4313379561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.725390147066805 1.2454634039852 269.206157573786 7210.03324515053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.455036141820648 0.543997659638972 103.05293047334 723.124354674542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.371398495351935 0.303901034075544 45.3362476754804 7.17301241987319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.2809722375773 9.84170169294637 1131863.52304822 555567.926889936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.0833465958854 7.79989610015644 516331.370289058 562715.866107471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.30778476000688 4.62467923557953 578223.346755026 311038.79340495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.07240865142653 0.872664166350727 3646.6417677638 3603.24518844496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24271545595058 1.47850102923746 68.5245288644034 1053.98330534278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.558623428471592 0.602277514715064 34.0416697472818 68.8396906689328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.389889756121232 0.399890090985449 19.576450037786 24.9741166528049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.315709966578845 0.321640605070883 11.126802603944 15.5059987863732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.01130253894082 7.65424755999429 47358.5565087421 52353.7300313114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.92582117002373 1.64523557825852 3945.99041238552 1320.84957049252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.947163614275615 0.812250110317337 434.798523156138 204.517157620134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.623995199014065 0.557174282773987 84.4136506149978 57.4145853277872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.0811602946668 32.4873250349478 678419.508531228 3627607.9016515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.41777308084013 11.1818959576285 51271.6474516146 850255.633686928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.3814625105062 4.93395717605235 4601.19272761531 151475.009023544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.65545938034997 1.65284704566866 2430.56166985536 4222.1218916152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.23693428411839 3.15612519507725 518.958801826688 214.499241159908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.43882297020435 1.49054550041234 114.996602801593 101.507506299687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.976910922247449 1.01595699219306 53.7995762378379 53.3844816888102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.761256891928058 0.76199754175982 30.8230864024285 27.6024560919835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.4947842187228 15.2557272492052 52163.2694339581 57406.6064356091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.28168527108077 4.21456127496709 3748.91272019997 3724.18119370486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.01225470276556 2.02389307149937 468.826737169477 637.158166583959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.25761637399124 1.22242719312031 123.126273182246 133.44330550516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 53.3988528503084 72.1215017822356 3183867.97355997 19830259.7765314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 20.0934432072515 13.92285757827 910122.745769889 395940.49444064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 20.9874297342754 6.9715417970767 2970490.04708561 40158.8718149509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.11998321270974 5.11920601477161 64947.9934717533 60444.3998840013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.72723801640676 4.65008600042502 509.340271115932 431.330262642626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.27460133551989 2.17466914626466 247.935418499537 133.967373275355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.54841618125388 1.52484444682457 114.354595983167 86.0263612904336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.17301643391316 1.18017155674991 57.2518083565486 50.5673233302163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.4887906338404 15.888852528859 21169.5754321008 22227.6146564822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.54833720360084 5.83453952417477 2887.01422613038 3697.12731059565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.94317258591858 2.94185331652522 761.965821976334 676.11890615724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.76776345209373 1.80307481566633 192.757905911937 180.849684131673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 74.0488382909983 67.0705713745171 9541210.34347951 5889100.58193197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 20.103061902755 22.3188075071661 1230894.73452109 844016.03958538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.2813774047423 11.4239451679604 115134.145389615 131256.478262722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.77547787200251 7.65376185570334 112840.115289706 42967.6353114817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.114221676559178 0.112331362367746 0.0711173108802337 0.073451352162953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140460236915641 0.14058762239632 0.084034053317119 0.0691908745957532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.208011214963074 0.209137388942605 0.164195433219827 0.125699410431301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.26912050862269 0.272405575878076 0.242773464262886 0.185589263229006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.199827493916693 0.19749924323858 0.204350639282011 0.159031448571176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.327781303905236 0.3279869122671 0.466573037797563 0.336462056295829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.427261256713733 0.429266064188158 0.728864108221586 0.502301422458958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.502132274528764 0.507787337574286 0.920847391749995 0.632524313000872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.084687169335513 0.0852611587517252 0.0560547677553941 0.0448569545825341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.215436225550721 0.218409725150397 0.2427959463883 0.188530528583444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.67550479351872 1.77953065957478 228664.927215971 11935.7907995909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.4932241846306 3.61286675991945 51586.3723023369 4809.13995565299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.229478004090653 0.202128413339655 6.43668582816796 3.18700815644565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192431870144676 0.169689258487359 2.42977600254656 0.543196689999834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241493342110598 0.226322413168356 1.19688659380745 0.295542218190347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.291806880319633 0.285564907390321 0.685855291671561 0.286443855770609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.390855014251305 0.311598912539027 38.008979348488 5.16081476917314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.407129962431911 0.367109543710782 6.9849432209026 1.00197495669654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.461912112769144 0.449307268943239 1.84355166101041 0.679811306303249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.522703565472676 0.522820886374119 1.30288589821868 0.736923338287244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.7187810107657 1.18301073652922 359376.339956688 12168.1158410996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.431072429215101 0.543495086891636 103.841942630974 528.896344611178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.09178699193737 1.07303048877162 768.178397286578 397.628536429926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.44036805761953 3.67652485099425 4669.87951166829 9778.92427634801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.335726315928118 0.344563658526624 10.1324193057466 11.6907874471471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.241364398594862 0.234480984889498 8.07331418131922 4.7365522867295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.262823348667376 0.272522558722189 1.93397752487653 2.73758810457215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.303410211784945 0.319489628071717 0.699512441656594 1.47597374571417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.3487647021399 1.29514142278002 4503.19524760623 2448.81272936322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.475359073149579 0.670013270116332 19.4946860779891 232.537587755268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.487722515218201 0.522140180749325 2.91130542364974 8.15410292088053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.541064811017478 0.559915155440453 1.95771944475143 2.44369427431222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.4419979741566 5.56444356023995 1007856.52394659 93317.4914069049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.75309090711785 6.79454596546447 544.525420958622 778987.360788149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.99149854113834 1.3727427377357 16359.5480282453 1659.01524171466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.88655355772027 4.2289879878875 5254.82615355921 6072.65126010133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.594065644239739 0.580938950328707 38.3479790823291 52.1723427114597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.32959328107618 0.322379290503129 10.0398696162675 15.2536406686557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.316643109127923 0.315744742241313 3.36922448650274 5.11399564227717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.344868135537781 0.343912254241533 1.80498372799475 2.06530868072488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.89328935229339 1.72553973774366 5119.98975085232 1751.50440367647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.647973461088354 0.663104740531914 86.9699722704356 61.4383133924347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.565318769397364 0.56516248306525 8.70796024419308 9.70882775277432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.582622999252706 0.588990131417865 3.00624177558666 3.52633524467327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.564066338646 7.2114918528187 2891011.53219753 240368.482084052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.22885641601369 4.82328566586046 2264.13031611523 81003.542068699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.48764675032524 3.30093511146647 3134.35479090377 80755.4038560614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.8436363258647 4.11259727691089 5690.13522237901 9057.78513998005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35107030193912 1.36691855804215 118.87723905616 111.844427728116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.650307434177771 0.592022077245353 33.7170739806438 16.875741412074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.512867342228253 0.462412656258577 13.246506340002 6.1260333768126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.484567154442291 0.445689652493594 6.77290241283721 3.01030905155197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.8417833671687 3.89888604409361 6854.88903175294 7627.90322102409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.33131089373671 1.122251921989 284.988207790234 299.83418256439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.880789843330537 0.748658527945994 46.965672748317 24.2528177922724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.758787342187909 0.700771188883476 10.735505989489 5.72970539138538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.6638206427057 10.8815501482843 119435.998955134 94378.2618524967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 21.2272868037048 127.180004014033 5692975.34288429 463171227.547563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.77943429910355 7.78340837941744 1341195.78898182 476969.21933731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.87435116357893 3.35893867244963 2924.08090654994 1078.68993545079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.03097406660376 2.10152281114245 143.545556549886 282.776025922873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.932708461877324 0.944396081672474 35.9422835566998 64.333817250254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.684991839946505 0.671800039513375 15.7781076263595 15.0783483147598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.597284103474861 0.586645205409375 7.61173819465699 6.50891173143289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.37810151823486 5.45307469136813 8930.46022631932 8415.05008758454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.67987897801797 1.68473086821659 293.298243830593 207.858107683487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.06132760331033 1.0208501287175 52.9128695757758 33.3855214760974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.886985943727675 0.858814762386141 21.4977246621971 10.4843457531361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.8825512610214 17.4648688814455 108680.620313084 224114.775845994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.84068866181045 5.6140830097255 30124.0514825505 10044.2610489173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.87290154696217 5.55008378356157 128481.505658228 27155.1629754593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.91201429515242 9.8469410494571 53798.0912522877 496198.300412531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.469534071292264 0.493520676199762 14.5573121894012 20.3490936337599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.29344002395508 0.29263729277188 6.57634769637939 7.68317208035276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.301322632681782 0.301665259399423 3.10540618607446 2.94990659262809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.334494151128897 0.337768551140527 1.67246863507372 1.5967754020642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13775373080968 1.28543975316753 781.70649608021 1165.97546527169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.566609969901664 0.71676942011297 21.9934380908464 249.790220981646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538295790173351 0.618250367291747 5.17424716777 58.7343042283187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.585484546652652 0.579478306550572 5.07912937787503 2.02714367164692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.88284619106893 9.23136625857803 5710.37713781386 1571646.15092482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.43300336097218 1.40543413295575 3649.69686617694 5580.81725782224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.3789838414326 4.06668983128499 9778.22674256914 183257.910698089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.13259575940648 4.00640223096781 10600.2644587646 5403.61971883627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.787513266818062 0.943856887616562 30.3809479253553 121.459266248036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.403772090041221 0.493057876643566 10.7254050268017 41.9779870699585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.379647325995228 0.407104218815905 5.1904387656397 10.3782962195574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.396557497047484 0.399926766250922 3.0140661392866 4.06542523227141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.06447404079733 2.88580937522853 1376.63132312228 6220.7760167521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.894127104769965 0.984844592872697 136.787218541612 238.640479116649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.693294879858559 0.666170615698344 29.2274650986629 19.3784781885813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.656665493319519 0.636494863298209 7.64051063306391 4.39682132403988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.4670553846182 11.2076809223133 401364.466323647 276955.29735115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.43784430339999 12.0864401419906 489454.114857493 1913152.09517548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.2675242641686 2.48440191759518 113468.167504055 3022.20173404605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.99053203127891 5.32912695639278 11733.5426725743 104362.60137396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.49320230530295 1.58012864080835 169.973504081671 343.865352424982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.727419520624163 0.745120446721244 73.5844396368397 68.023392756265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.577178774872124 0.553132272160235 37.6832690044264 19.1351640797895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.522020875019597 0.51299821947644 17.0570517758198 8.37502959627488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.42985350330811 5.14103448297081 2386.21298807084 27548.4180729208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.23506273883669 1.45991216975825 211.175189573107 1016.45732098866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.872288494610384 0.874727927569222 51.956202597396 58.841846906673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.77182795691565 0.766819532463716 17.7058029667367 8.99583690476363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 383.169115648691 22.1873329138699 4364799068.07328 2893743.05252394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.51726635390428 2.93287827768663 24296.7399660934 2434.53865921373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.1276215371518 3.23173009288697 1420649.71724628 5303.53033131569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.33055957752265 4.54276304685225 3277.63647868475 9499.07938010122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.38997935492793 3.59854866364531 260.290617179579 354.987524735486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.54529250498758 1.62172846632803 82.3842036842004 71.1971060114941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.05915949152162 1.09852885060974 29.7426642252985 27.0282575740171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.852081001114006 0.878976657423588 13.1255428759022 12.7938585451132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.8474428732603 10.9633807487531 23038.7641902542 28653.5484469719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.67731610956785 3.60370637032697 4991.98519941061 4832.03874179046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.72056921395366 1.71585341352898 324.332651652226 206.247915883075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.18945060779736 1.22386847851888 43.5061819548297 39.4753619804617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.0392455582611 81.5150718371267 4496078.65409377 57502548.9280782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 32.2173392651587 34.234109710069 3266219.58508893 5279081.60439062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.25878449099137 10.2834000590508 96207.8162635273 96055.1024778799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.78416004864018 8.61087166030487 22993.4298329457 111997.295560786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.14633067868023 5.06245661891854 519.914569661264 334.044254898747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.37199399995255 2.41030996608156 122.122195469558 112.874449549807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.59282235543327 1.61521227182352 50.0516544486322 43.4344573339369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.23637909940272 1.23619130190797 25.6010484529651 20.3730727932195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.9217890147628 12.9952231174033 11684.965991907 10542.270459097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.23095990973784 4.18437728092689 1009.07880858178 864.824389057381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.2107517555659 2.15064473738362 155.163036134445 140.725358344521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.54732536804367 1.49400780004501 45.7896848432551 32.9425109978116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 52.5929167100504 43.7922265361326 1304440.36299875 507823.265945364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.1787683154023 16.2572320400548 633887.622400125 153202.076642984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.8161731633903 15.333271625924 23670.0792960039 538427.806945475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.799810506933 10.1086206707254 150124.767993785 147684.256794749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0631276846261598 0.0638852095479788 0.0701490209807179 0.0744667995460688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0508251589168509 0.0509912101698375 0.0211411850650129 0.0161802526351405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.074127053317138 0.0738964330829008 0.0374973777559914 0.0249942310550862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103759501524066 0.103033514671806 0.0612997256624401 0.0389838072776926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.099398452402825 0.100291504386874 0.139036424552047 0.126753036087258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.120391494451641 0.121162940399368 0.113929385608957 0.0823440555021328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.16809542229301 0.168158035856144 0.185849242984328 0.120509953026618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.219008744761806 0.218018699147529 0.261134439405396 0.164230620149338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0453452768801099 0.0458590462742167 0.0407033157900065 0.0390575423754776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0620932378130076 0.0617484868829301 0.0336816889647692 0.0236933746034465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.128371179033661 0.130084249667917 0.153688311036843 0.117638600609333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.232851853168627 0.242916048583652 0.57381007037764 0.526155730128807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.143473335741197 0.151636714410009 2.20881371711623 2.94876656176696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.079031857378808 0.0895281643303938 0.681988352337301 1.49963766527439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0883857366291518 0.097188794091352 0.303524944528393 0.740261074237765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.111732811827763 0.118251655468278 0.164070132055113 0.371427764102797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.221575737254333 0.544313640518484 27.6793584331971 535.312713748169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.149030676487708 0.231707072321901 0.572745481678618 24.9444118913911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.180025932540289 0.222563031024871 0.297344887334044 7.01873557289123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.225724018309078 0.248715655037201 0.302771202494841 2.61073288196232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.928956256634042 0.855010058534855 3324.87987530783 6004.40876173646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.49670402794687 0.262185731903975 33929.3814441203 190.789337979775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.06001150068704 0.232715142275213 14987.9249298201 70.0789616157138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.256728670170847 0.401709102515207 1.61604374406678 244.564625119198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.245906221972821 0.287947582156852 25.7986370808829 52.4793571044007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116988308542433 0.147432377606347 6.02038612302929 14.8575108971057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111874351743908 0.138962000005216 3.44646376134691 9.58915907502062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128963719027709 0.154329452094024 1.89189582558882 7.3881082257188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.69703053383204 0.878007225523157 1415.02502781492 1720.62592978267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.263382057154571 0.341870429741263 100.299658801073 162.51131940303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.219365737525708 0.278804708943643 9.66320626230686 49.9557863517573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.236911897373762 0.281501708520919 0.482535060281662 16.8570516447541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.727671214056489 0.542237866008585 944.798564083185 1220.23348964261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.302391278329271 0.29278722747106 113.020019934883 305.328098191951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.366676302351366 3.74463574705615 190.032812535343 182580.095782468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.45911733606543 0.304370560117303 194.131681122694 6.01235597135873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.402737111169362 0.436340533099698 10.4395996294472 17.6087062277898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.174156047696613 0.186929188115831 6.29675046116737 4.70960962551825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.146776773677443 0.151794954968292 5.0262478742899 2.22663921174585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.15563609737102 0.156537662909374 3.89197229888255 1.26959577502215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.10773547281837 0.706676093198076 29816.2959996559 176.301608413031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.580571577163654 0.329403621214155 825.774041945776 26.4763050551202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.390791554821063 0.294517540949254 190.377321718945 12.9651154814956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.326062618549046 0.310123766347434 33.6562939300292 10.2154271954456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.86262924085698 5.07843124649991 224800.651235949 344388.750747673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.57421950827051 0.681030149287116 6862.4659892515 1847.53040243443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.603950434921581 0.396296591221347 860.460424046748 137.396978926109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.707643850179552 3.38333910303804 583.521571239342 185159.384681696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37322488527103 1.20643745149996 216.354029364841 62.1154422877922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.581343255302373 0.52941162097597 39.5078765384089 41.3049292491258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.413538175345234 0.379337404522067 25.7566500380458 46.8717534041127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.348678988386699 0.319237912135586 13.3006136442743 19.832874623613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.63921352868154 11.855741908299 13123.5513732736 514846.93889289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.30571274643789 1.73611594369793 7933.08022783415 4433.8446446542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.35297574915643 0.875335766069202 2219.58187081424 671.071671865856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.932929904601534 0.639649951594542 723.792662087688 194.363862437504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 23.1106593606369 24.1644300077525 2535794.3031593 3512617.4991712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.732526133268 4.41891660657122 4114186.42967009 56480.5586846604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.2730939048584 1.82683034512874 20794.5131006544 6935.86659624666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.91679799171732 2.82544941249088 60301.5905633843 28577.2061830109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.90565471716316 2.03281242735534 101.807430937427 362.183779238822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.864998798306506 0.846991339142487 45.7240891970865 44.5618289914586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.58313509489812 0.559656565687195 21.0234256512157 19.5933645013429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.479829733397469 0.450068979164576 16.408197303847 13.9563854249855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.93834170490173 8.72413434585466 85845.1350078322 64158.9662590143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.20467611378571 2.64840133731469 5597.60421077862 3294.50400748591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.59033968893027 1.30464521163662 1026.25973269657 623.417029248082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.05219398017318 0.866790475559681 372.385004038682 196.910469770932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.0031466783243 25.4415759677228 59162.1116617547 2490697.76946714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.568850407138 5.3601194470922 606369.599502475 57837.4022091483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.22568533659286 3.13189697520056 135990.679626558 5404.46542095185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.99456997592202 2.36159505708512 22858.5910373418 3406.06853708086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.385839421462679 0.451147974842812 25.2457610366989 83.517471781669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.176465314089547 0.232815187443419 5.86487390897493 76.7934048968931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.148821022910031 0.206619075092366 2.52978607543631 76.6872424331639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.158116888689128 0.180681246449701 1.55683038347182 13.7345373956617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.19320711379545 2.56074950212209 351072.810385403 68210.4379320121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.985448691276347 0.500719887790675 5391.77484717973 829.299999132578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.311279151529881 0.365915032614076 36.2061972980447 116.636603937334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.293470229921511 0.32443898619693 10.047672646729 20.2881896677309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 39.0643582513074 9.32670574847202 20821852.3347816 1467844.32756213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.77667737643974 0.510662439617142 238992.42969452 690.595797953475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.505016297733789 4.68955599831413 379.216997286311 432172.665060575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.3031337449286 0.528082058898277 17417.565394849 345.204272003486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.6532170370288 0.729393399754104 27.8498647450168 81.8942352656446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.261622855730746 0.302576996760272 8.71106214141301 18.2873962975255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.186623815585132 0.213952443797359 4.61203769516286 4.95482168060483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.177883688066522 0.199003814474463 3.67055838982681 2.92721726702267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.40977121439667 1.6566678224012 1204.394881021 1941.65579642716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.465954518420267 0.749781610751107 64.034348402649 1131.44549357149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.303228721365585 0.460980121508881 4.90134836651527 164.038020854825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.301041355545203 0.370882532864636 3.06294865073317 21.0281373695435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.07681938381447 4.9360565864602 38804.1888344165 103657.696947879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.15929772498553 3.10621993756679 10510.3305734981 65423.5012225417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.484663493829865 0.493654127708792 180.064256304826 146.741213218966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.687620007312768 7.1450277128292 488.18847342107 990750.488389432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.50356137906295 1.58173491256116 218.297274296859 1059.19279918136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.776339476832527 0.59595175165573 630.632886873086 63.1595885910769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.53711650947517 0.402423541044992 350.927728208158 33.6704001472467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.382271752569521 0.342712333926676 44.2624561260317 18.2287240735318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.37565463315002 5.86976130204726 25355.9671187396 28801.3632511512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.6010149846308 1.36788568725292 10717.2591295655 902.096613022713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.43405567009407 0.826538434303075 2540.1958359967 341.201675128739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.918565168914317 0.567451800345234 648.493732511829 48.9601225568708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 29.3153966434921 17.1120079716212 5246476.99613425 2031872.71291973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.15463917875555 20.1918703881197 32968.932545483 5235385.55632879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.01819157061011 1.98368331537185 11734.4070952895 6696.44208104478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.15823375868877 1.96523031609619 5880.89142886594 4166.11560273268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.4234897152188 3.34743485794815 342.126059836358 340.763009859316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.57517854632272 1.5361806856974 124.039994239831 132.842602414353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.06723261534497 1.04007687294309 63.6793439250564 105.776696826138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.816134824299345 0.826864335101818 33.9744860419246 85.8699354961701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.9850718670099 14.6312120091953 68166.6392647646 56134.8260409072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.33114631867172 7.1141095309437 13731.0770280168 17023.9436993354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.24921741060275 3.97741671452475 5118.93579806965 7543.4988489401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.97885622166303 2.48260992260243 2364.52940681961 3909.75820109797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 68.8380886634364 36.3500462083999 15328063.8784666 703986.058725655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 35.9008550455016 23.8019250611747 6041334.99695792 2631136.38462797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 37.510859550281 16.0457697998568 12913249.6051623 1189320.22812891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.85002476516968 7.23170527505201 36283.6155986047 61657.2633715148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.05485030822527 4.58320709126721 627.093178538742 263.136078156007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.3624542493125 2.10552475917597 204.246314757177 97.8184084803506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.5528632001182 1.40262286301668 85.9188826234564 54.9889063466373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.17450577602408 1.07665789651187 48.3036754698118 34.9725026658941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.6979497234975 15.1921561918195 24553.9045305727 22989.7450091965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.28691978641844 7.04007072534101 12731.2363773182 9880.22514798828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.51490516404195 4.14393325110894 6924.53597980879 3798.065080211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.85237099615017 2.62262920252452 3915.60661621251 1357.18346224729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 152.094846409025 333.050376634623 178340379.939061 1801456624.91101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 39.0569429946651 13.5864435586788 5724512.65111299 55391.3188736291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.0772790078382 21.5102986147304 72785.3091390301 728104.978328355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.1011000825544 16.4407200641386 138868.646081966 719505.081362862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0512677825193208 0.0514916974825673 0.0342197081791501 0.0344523192897232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0280402308830167 0.0282728865688714 0.00618271098688593 0.00526729966131151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0390106638298339 0.0394690920264379 0.0120444597570983 0.00851081274628021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0575409874617331 0.0582505840740838 0.0249018398022609 0.0161468647881119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0698481818331449 0.0692448233776316 0.0666274799898573 0.0577436619780262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0659295759670783 0.0663196489987496 0.0339297699394826 0.0256896529668357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0879540976113118 0.0890454823081636 0.0603132192715162 0.0426180745123564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.116177388622402 0.118032615186017 0.096811174880541 0.0657641654131217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0396955364677275 0.0398948755112815 0.0384118312465931 0.0369968302542878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0357242276161883 0.0348474225488316 0.0110874048686128 0.00664605924397544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0682118262590057 0.0673850565116117 0.0460561704503322 0.0287551114429932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.191134731393438 0.175912851356745 18.8511710981514 13.566556968066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.223999164903534 0.153409980902729 148.441972639435 2.57100842807903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0678784974300434 0.10538696091664 1.87127170054983 46.2012019301183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.064423965465176 0.0754326167314931 1.55862143982459 5.23142240348178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0779591273893174 0.081917892343923 1.39087022370394 1.5291821295708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.35455971109952 2.36904691734949 22925.6747851419 84111.3471838591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.23599224107819 1.36829885848513 143.532098865959 26538.1869628905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.250184005813738 0.453318986872947 279.181958618763 2227.94274596531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.180956981086486 0.252352166514086 16.9494937553362 201.788355356119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.7565560486218 1.10727576254423 1632145.02482158 10215.3800940658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.13232462605953 0.334151558448437 31338.0746684573 487.113736809522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.532729748195917 0.516907885841995 1531.75992781347 1649.68430513302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.754104029901622 0.517343126057955 2286.66856817566 785.002035159485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.29649176347911 0.397976605273943 12.1452157845776 407.789866960128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141261541317186 0.169355398314635 12.932409065879 94.7594090529075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.104748773042691 0.124390260865661 4.45050002849334 28.8737045850557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.104104745311736 0.111455442538601 2.14610017375674 7.67716526109705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.81456786981646 1.30975653197468 7311.89456815765 3336.04062556895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.480820480790691 0.443502158923608 354.347893783895 307.476997035908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.242069556223901 0.248663227678079 36.2073283440524 61.1539138001257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.197778020343722 0.213215466968666 12.1143359510752 15.0532285335192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.97333825191712 3.69356051762524 281967.10479076 189271.324679465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.22897232050304 0.738812986177489 9859.27906267014 2541.87899517163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.519929440051986 0.574023069680959 1586.97555354333 1386.3221355172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.323006723050291 0.975912629308814 173.947177644418 7023.68814344139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.620580556083055 0.525248067326587 187.662525242061 78.7958745193465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.357180262188914 0.221749048866028 499.613072604533 23.2298771612383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204828296266206 0.152650095513567 50.2029617857582 8.60019452452841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.158871648672778 0.140153517668564 8.05621534103305 4.24930909643138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.05435889995115 3.23270319098861 273893.277368721 23710.1331295376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.676291833835815 0.896021579212443 466.386765795317 1095.19952589368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.339387057903046 0.552100798189687 49.7259749854621 429.390693064494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.254360962354109 0.39789518645632 14.887963718561 144.060980523535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 24.762886591341 7.34522034129121 7505747.38740758 271599.985312676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.31665091909816 5.26679517103167 26742.1208485149 545696.627396944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.28733815031969 1.25594139520747 11093.9986421119 7349.91036307069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.13332881023205 0.801657962763144 6901.515088515 2887.85776771226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.4589714918351 1.46669689845218 261.627677840331 378.893439468323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.647234881567112 0.588247959627451 112.773807473928 42.7732906141445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.406795969912778 0.387511964148312 34.7937177776035 21.3662704533446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.303896463657847 0.304881651427359 12.8590845593734 12.2622079975925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.1428983528723 10.8773728593587 462045.086651327 249342.801929251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.69470856494604 4.45880658655384 12050.3910631914 41149.1095730502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.847643232247633 2.59329170160304 245.748417425672 14204.3733090046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.570540228735025 1.61296281633177 79.8417331372547 5806.52290133503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 126.123472078431 56.601394499567 298003359.524543 25730688.9626036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.79985220696253 13.6355617019896 168941.420085681 1579546.30011709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.86613308427719 5.34920410541703 56811.1743283834 151957.613014176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 23.3266684481844 4.34683706930734 8274259.95926092 61303.727524572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.02349432968038 2.0936561648774 196.601111416006 320.671695323213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.866660516699352 0.896788159792007 52.1625342536956 78.7794818900595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.561357911279687 0.57929496194701 29.8048566484237 36.161022627257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.429853274493058 0.444690136959928 19.3124190150491 19.4130925525712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.90690760871787 12.9055863936764 57601.7716850584 106001.706466666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.67303889224562 4.41924601352255 2388.50237056594 22653.6621482478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.25427863201644 2.81263624111308 565.264473051882 24611.9090737646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.745146523604301 1.62339728696898 130.283275389687 7248.30389915355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 172.386106049513 1029.20052370386 631938194.473724 28309128061.599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.5115903068389 9.37344809698501 162725.788270341 227929.741915519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.0399469901099 3.96798588449746 381986.056898077 19087.6776878852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.83815027970316 7.34667587459339 1585.38801160693 453494.549716103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.392268535981358 0.405809745591178 15.5502191218607 15.4507839966645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.143276518977105 0.154745047354894 2.02462417909085 2.46949504804607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.100073204467916 0.115883229979055 0.985178020641871 1.61313635373802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0955984750947571 0.115636600738693 0.605003058099472 1.45358004790039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.997622393863958 1.08597617863833 1340.90787316754 2576.68240348502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.358201462632342 0.35517735035601 139.965409248644 62.7677797494801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.229579461118325 0.219235326993756 42.8599536157245 9.57186140124973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.208280707436951 0.202588310239023 20.4581659262737 4.61543170455077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.58055487649203 5.41622119678109 276191.577288982 629078.869604417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.3713049369868 11.8510703953577 247.14818941617 3824510.23964378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.298649270912879 0.710177610336129 99.9823611473366 3183.44005075318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.69774013010613 2.90539593980398 588414.1618876 185529.276798093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.871653883539367 0.937654699894946 239.019606297857 425.486685573043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.346453091070268 0.370068319595595 29.1805099992465 74.8467981967358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23730216766307 0.265355472267644 18.712753522556 45.2940228468736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.193107855768993 0.222618741048146 9.63488410368539 27.2384805962364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.69512627377178 6.41135110369904 113603.249299048 68772.5043842368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.999468044108362 2.08082893588093 748.230443338461 5151.17205771775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.474887377867822 0.984624054350958 126.222532983362 821.42462909711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349511595136897 0.632339879325142 44.1118159220876 284.217855432258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.3370283668329 4.67617755243904 44208.5335580628 32292.4498214024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.50621863651996 4.03189330617309 27613.5401423531 161963.960245388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.65084989713244 2.68708924388569 4189.72404333563 33945.9627258124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.53496966840646 0.729887223046408 190519.157886444 524.315373228432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.41806122277597 1.66947335718566 122.348516835142 441.628227930709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.647076805832225 0.692193537094754 95.5837061800891 93.2439904014934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.449276126997828 0.424303548183606 96.5256724470494 31.8895192055509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.339566865562485 0.31499939179076 46.3779251315416 13.6928422519159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.41526196592701 9.40341950584193 134231.621858945 105142.848029484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.15300283474782 3.13554647066488 3990.36740568907 10623.2472455133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.13253309230761 1.57466177536823 959.855938004121 2659.56988339517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.722834091681526 0.894951485527119 312.322539806652 636.161544137451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 39.0605862006878 67.0010404853622 11986151.4703869 63734529.2021079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.43268767252177 6.00258570348473 52634.0501095768 76868.5107058345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.3456510868208 4.79434899845674 57746.3564209291 64669.9346579499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.40831584826382 2.70842776743431 13027.2783993174 24024.758340521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.24914129862575 3.26022352234962 256.378363710723 219.133350287405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.4170691104219 1.42765047904629 85.3443851545809 82.7571246003067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.913805180883663 0.926167487613549 49.8962415929026 47.7984460967717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.685633476750895 0.705371697512479 34.288902230763 30.7255186006486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.1195196756849 16.245630718677 64262.3411511083 144755.306066828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.81571295356153 5.32311889687733 7220.61105803796 8652.98183384515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.32825039721097 2.69124144617758 1201.2236234113 2690.18782044224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.46360597590359 1.64795437640313 384.891271633577 726.0503581028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 39.623549019786 363.056226294952 3517400.65187615 2981701733.97441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.5874961765494 13.5910320466775 113697.254079547 273381.04670929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.94040701401425 7.35657215683166 41689.2984764576 58438.7002487711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.29309546252422 3.85885088204498 29437.3448911518 8471.0267114952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.85050495782349 4.88682962283048 371.358102642558 384.385570544984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.18448370912686 2.25944623470839 165.532805172134 148.037172990517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.43168299857141 1.49802686875496 99.8648962105454 88.6225225860243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.07361815185594 1.13310363121055 58.5618500298341 60.8476618483099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 16.7120747374513 15.4048110478084 27735.9807850385 27434.5375927998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.59455414384813 6.90131564641512 8799.12840135329 7749.37461240773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.90057404036869 3.62428320049643 2997.68940145907 2641.62420729502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.37005520210403 2.30151109246764 1064.87070143504 907.543078933543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 60.3666396782191 57.1525044350179 2862885.76951655 2480717.13292997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 105.821608836985 18.9171509917376 211950399.343007 225351.923183107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 15.0414764787117 22.6336335712209 335668.272466432 2498722.86748698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.87164933331759 7.89544432430549 9547.50393802222 184446.473313315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0629889530170452 0.0643198031182015 0.0306897909426503 0.052969408468506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.041603163551261 0.0418005735324279 0.00603533604118151 0.00772953725011955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0520073755722255 0.0520522546286404 0.0075420623087054 0.00848957894175864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0710023584002405 0.0709757473877202 0.0128983972020441 0.0153184327609824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.102561475941854 0.103665474283087 0.0680576515789726 0.0791934483137359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110744822695306 0.111213628205818 0.041609762655297 0.0387714428185146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.141647163928574 0.141745488960988 0.0588335606530343 0.0560936821218858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.181766027873123 0.181612523478891 0.0861791645511286 0.094778492862319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0430956573230493 0.0426622902674173 0.0286377601390568 0.0216815517271544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0380897441762069 0.0377524471275493 0.00568926693634614 0.00514917686968043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0712446131107559 0.0706888461188772 0.0153895027023493 0.0130953068227011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117158026594986 0.115692399024953 0.040136814363612 0.0333225399989948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.177411693034252 0.152781640206136 50.8947231992962 14.6467114352533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0792234315160432 0.0719126442630382 3.92968276351963 2.46075418303829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0707412724366903 0.0690590186246805 0.609964304244989 1.02235108113721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.084140845908684 0.08290061397224 0.368704487102245 0.509232011823266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.454091943638986 1.16750354629636 870.9530100097 9460.346965233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.177706573523113 0.267118073201277 18.9966678120681 172.045207323039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.167170680009125 0.185518228748944 1.81483760877795 13.2927349487644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.197767156299044 0.202661540854104 0.679876119312125 2.44671849533099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.01019379606172 455.417665110175 51112.2143964653 7745475875.575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.605989605761516 0.508492586703403 5153.19244774591 2026.19439970547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.155081347997033 0.200921326003759 117.993999599345 82.4933296751385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.171176641809982 0.292826977901608 27.8971520110087 305.529768349252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.238298328519188 0.242449168689353 4.28388828136467 6.50340420512007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.101372662056175 0.122031887164289 1.55066297440712 5.90624950701642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0866256162324967 0.106906094765527 1.0233364690755 5.91916684106938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0985718424775923 0.111349457490339 0.712403751994965 2.98376746526561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.746734218321014 0.697119942240653 833.531704936286 1909.16611014801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.289256166861022 0.278654766821599 54.6932813626703 70.9726655479565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.233630066775661 0.230011980565751 19.7879604004324 17.625489628913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.233712115344937 0.227488256037762 5.89567057430222 3.55166800750735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.979049057482714 4.04350168391798 6102.93199257103 210135.629062324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.217965050739974 0.375699438251004 63.636886821401 359.513715387367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.213115039570416 0.376517836115633 56.2417649948285 352.493629073637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.327158179174297 0.231041470500041 589.530856009484 60.3513240178194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.464148654655163 0.469650111239996 21.5715042618225 21.7414758210562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.199767106048378 0.219721817392878 8.6432220491558 10.1904771511647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.148181552189857 0.169174975685061 5.57907397664206 5.54788871462227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.140629949264853 0.157632167766426 3.35526884046762 3.32743131679769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45065082367092 1.36974034945178 2410.9983184445 1912.8943604857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.432897650883976 0.57415299868431 84.2222686091327 229.389145602109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.289417191512783 0.348343923158639 18.6726392715954 31.1363485301318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.273165997023356 0.287448340837458 7.46265898121522 5.18509362511296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.13577509563334 4.22630120267029 51541.8099221831 220947.81912953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.696336465921087 1.33131378317433 775.221826869396 8694.68152156289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.396769023714499 0.525605005123742 177.002352707624 299.59331491268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.383456513896336 0.374508602608618 65.5097421896816 56.9503711716282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.2355286297034 1.24260264860958 105.239752862323 103.218793926158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.547830681746326 0.546488300015627 51.0373220627282 47.8844372773785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.373902342467118 0.349610707856752 30.451387624946 14.4230566247998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.293330633292756 0.282334096548525 11.0278114924507 7.68118549569109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.8417589762319 8.0173118406654 6033.58086208042 76030.5884747903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.32248725119858 1.66114374182578 873.929400168381 1425.95843233647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.678994383802231 0.765306427411952 98.9429557050861 168.249676900796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.457826139035923 0.47507794078062 16.6662225899303 22.2882462178029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 35.4286906890784 31.1016538727922 26497276.6105624 4959511.52835823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 16.7272141851166 6.04330660577279 6593920.896565 62580.1472191307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.69776939357996 3.29808189859148 32579.8084406303 31758.5305359629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.97217747274943 2.98221213059631 22189.8219357697 62456.6514738177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.03069116118888 2.00285899292607 263.403563152821 194.221586351903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.875998941718628 0.902112810564496 63.7745698158803 76.8825056514533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.582813331560487 0.580146438009445 33.4610061920458 29.1478508462115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.456517780482151 0.43886046100794 17.5810441317416 13.1254140186087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.0929435200491 9.12387895955901 118893.23745355 49588.1394301646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.40341446347694 2.46142282296078 1885.75668431578 2513.71637306504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.01176218628147 1.121644930583 133.824102472055 259.403073021037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.657241220349296 0.711854545842317 27.0349416992883 49.1176792458282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 57.6325460590041 52.9298703380532 12446660.4230724 11338770.2979072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.57130583731087 16.1457418281603 48484.9101620958 641173.438817546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.52365567598249 4.14692501289731 241550.684704129 83309.8566141506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.38892031156958 2.46239555535127 4417.77224088613 5906.47083536107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.374766844160756 0.391770890577945 11.2907492135682 29.2935036526015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.161044736944794 0.182360328444019 4.62315633704092 14.199544209825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.12705936884815 0.143540760144464 3.18922162337771 8.72084905427937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.123841651128233 0.134968618065362 1.60338219710903 4.45767676943672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.892175817246159 0.967219747513357 534.220901913923 1274.94508066327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.441060356019653 0.325241032406738 178.313387770009 39.4417462819333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.286310918249298 0.249595697075745 41.8776147561627 10.4408257337069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.238588899086995 0.252375476166548 1.54136579288624 4.54283807999351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.21386165194383 1.10003185470772 4552.79987616715 1866.73332028205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.78442927291584 0.499573264946252 3355.53230697957 648.554105654829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.347192640897741 0.273294333507501 83.6522913126751 85.9816365011374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.318341812406214 0.243387237953684 38.3887767174357 12.2141963550816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.837405142427436 0.708682063615662 136.607436122195 37.2898231953873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.36011113234057 0.315166703542447 40.8900396317225 15.167996748979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.246601338983344 0.227356047717585 17.6719003378635 9.0826249569215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.201994110101985 0.195919629196475 6.64919453815023 5.08971025219398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.93668968192277 3.27496078261977 15261.194016202 16953.757694455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.603192735762467 0.767347626820718 110.044636554129 215.636549396783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.395045757678411 0.417473800651056 34.1501943574133 28.3595355554125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.328573825631683 0.33674264179909 8.25983627956445 8.1979586721761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 24.8876945687685 8.75300431895092 5602690.86224826 562744.503742428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.27434726740897 9.04464465775881 50312.7711644355 2044322.46204186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.78647968645743 1.26995024312534 760.146933369605 9386.32673090549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.589613905062278 0.662511002715309 143.097199322097 508.006085068177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.48376180573918 1.40544391659685 369.60547909053 292.045203591031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.698329321938933 0.611248696095722 228.192126455564 81.1984433800941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.428159250992795 0.397607952156162 33.6033523262737 24.2028148820949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.339140099063636 0.313813804441833 12.277167463912 12.021724081051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.7006472683297 6.71099408229439 198884.874370239 46531.4847407244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.75383075291646 1.49024913335572 1427.82169692094 1399.4918329078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.797115404449627 0.688571155599451 114.661075067539 130.488053782973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.522319977588624 0.482212999650829 21.4145343634344 21.7186523698239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 40.1331587116479 21.8409774632365 6157071.17011342 1205188.15492093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.46078662496668 4.34319991549215 253062.735508601 16807.2514864632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.42536039136837 25.9149956319737 42491.1293183456 12428409.7514385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.78559960000927 3.75921371185278 20664.4088933683 62338.8594853933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.60420978646898 3.52905066733433 665.097606198267 498.694203293389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.64606963340318 1.56874120033597 215.532379672917 132.185727260945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.09327172151056 1.0352638661349 83.618943721758 59.7150287085153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.839037146351282 0.776336851478457 44.3542166455514 31.757356260913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.6529663258212 14.2148060975123 51393.5286590561 47420.9052926284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.32873883362318 4.52006755887481 5671.56157341915 5216.53098976804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.95475099272902 1.80220045492483 414.845699322829 357.842104276782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.19147182549643 1.06005641407995 89.6209743527427 63.5401868448578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 90.0465049198967 56.1430519288976 50236924.8785238 7448771.61133237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.5442999500102 152.220491827525 63093.328171571 766973513.235071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.9029893861904 6.26392215190556 690003.976295551 26664.766756208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.9370145667302 5.7970386411253 40591.2436253126 154374.035737466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.94831438371839 4.97927597524665 464.864411021529 380.843147937907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.35672003914758 2.30276548050203 216.747493719308 142.250228902211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.57818657706953 1.55385229433171 103.444148940806 82.4277823445392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.18835790106046 1.18310907017476 53.6134342809594 47.5646731692735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.7854091733383 16.8154661464734 22546.1627309637 25216.9506354816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.677942150611 5.72361192069348 3392.56673418036 4261.87168236069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.75192550039045 2.84737697108788 710.653159496109 849.114414872971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.63435499513586 1.68203476976902 144.981416311043 152.627027295257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 66.8935722882926 54.3434004018847 5081213.77037004 1966456.30837485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 31.9180226043028 49.9849032760485 4254340.04037408 22931834.5505511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.80260254626241 9.81829374706144 26121.6199944022 61688.6435274514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.96583038168322 6.6149465210386 23337.7280770815 38814.8415197499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0668177543675184 0.0697292496383713 0.109958539255571 0.150990828676814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0604803426141893 0.0610390317611678 0.0297612253157769 0.0253681683321337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0910495178050215 0.0915154064386366 0.0518041181148787 0.0280208042933216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.125661066346555 0.126402537112482 0.0876453415101486 0.0415895679680143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.105720277402937 0.108119650005049 0.24791705872806 0.290385381952085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.141684275808463 0.140509206060698 0.164192054486725 0.103809111546761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.198402572484314 0.198253023091347 0.258240865215883 0.127808452959601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.249594105833128 0.250511538309964 0.361062050869025 0.167623878106442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0528675924330349 0.0538327338950478 0.104958436311457 0.142700695876344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0796014668253722 0.0767482521526696 0.0543767120313847 0.0275738578452784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.167904718405141 0.162807506060055 0.197403097209111 0.118069083526985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.317134130577195 0.30389343454442 2.05886933290721 1.8258689070523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.401294907717434 0.250769486314023 1040.46843556598 86.5938960152648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.219081818232655 0.184142592723984 217.838184454782 79.3491910992064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.175577295360804 0.201768944505521 40.7002592277281 106.084543619055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.18533370780616 0.228986076913826 14.1050876959949 115.013372898171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.783676041336783 7.24721321495186 4745.09892860034 260994.990363434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.427755155437284 3.09559505965848 801.032320759288 43042.3837367636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.432318999133289 1.08006751506739 320.018492733947 4409.17478373241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.365742438490816 0.588866469285053 119.493565006242 586.399063968575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.588591763014931 10.6594394893254 440.98685410632 1400949.05744625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.64046823863377 1.80547960347217 33227.9060245278 16830.8508871311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.59621927830371 1.4690594072977 680.26680744549 14019.1684953186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.20666418922592 0.930239744458011 4869.28317021377 5374.70435325865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.273039228113427 0.332394632436259 14.1183644777961 38.6866234352359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.163961644868789 0.174501257893006 6.80481886188984 8.87538831025294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.160490966603985 0.159505544156469 5.81421423788568 4.30135608944155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.179326538777981 0.171229477583583 5.33584685955066 2.16099859848801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.785007635004314 0.849476046288433 1013.19650948825 1070.51585273763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.417290111193583 0.345410698242365 174.794592041441 92.4090739355472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.357120378488145 0.277706108751031 57.0235051596618 13.5848882363841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.37470251150175 0.285896652391984 33.3887260798579 2.17121133517968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.06741208098709 1.60365085533579 1949.25263034652 4191.86072804646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.262158595923615 0.505892582636279 25.0394381192681 246.920778953851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.268747659072532 0.830521404364025 11.5035308975197 3581.63999586901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.599414683002789 0.512022669850584 947.503748075619 75.696360131254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.48631801445559 0.513134768797806 85.5883865789843 58.4641803425526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.227503064986847 0.222215847034656 22.1683506494134 6.59166480818563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.180705964040594 0.178741437723851 3.45556511304266 2.52682673150804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.18976544666417 0.182324931369348 1.60068031675551 1.07209383900664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.23921571150932 0.973532999380975 123577.798909333 891.991430797023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.492194178034722 0.40794696168063 424.579775439658 80.3004768679502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.319714128079474 0.310325684261152 9.36742663530541 11.9771099012189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.327435974210759 0.308320294290564 2.9286772434816 2.03783640622716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.3526723465383 5.08755756397013 28010657.2707435 120158.759719962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.57383077705201 0.476095833731576 82041.5711866708 126.794302201511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.10103392930838 0.525375046315837 8881.51509725797 100.277201548281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.983913711645665 0.924470689349708 2986.0976478795 2813.37113701769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.85922582948912 2.07879756393781 2547.62085236676 8833.91504865655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.0159834777102 1.13202009508246 1069.73283306359 4902.82599604468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.626680717902772 0.712474662804484 221.794351718422 1303.47543392465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.427685462240852 0.496762858874055 35.1444754819135 266.438202591495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.23380926592262 16.7962969051398 138001.988721506 1252980.16171833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.2395153882512 6.32079850758823 5060.5553739944 211993.869421462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.12208286461667 4.13629821835684 1230.34626025136 61620.3711990007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.885379913832198 1.45183416222493 882.678072115598 4197.21467874092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.7522518840658 62.7058346760875 955052.950580231 24306131.2416709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.24045475931709 43.4895365283721 45382.2510593429 22908859.9214141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.81592934836236 7.1991570913909 47425.6812588704 281119.580339234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.70624366751411 5.16114944080415 15313.6216344439 93063.2459784454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.15739990898815 2.00442537766495 1103.679327338 300.640873315873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.895269125834302 1.03205742892042 66.1323087650336 393.051274658039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.609486606638019 0.831281785797289 32.9852634658743 925.071499005857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.502038182988052 0.71660484701995 17.8253994764066 1074.77219768125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.8944061874031 11.1006861453018 222767.272041669 162051.396205889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.74763781041831 5.49355962625109 15498.5087968039 112197.122997366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.55673020221281 2.50729844138738 1165.38633138445 9450.08889856002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.62206850754234 1.25575002980715 2217.37403824007 1839.46768531663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 498.542150078965 71.1522529327474 3686063358.64316 20757832.0012136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 27.3822071333847 22.0854217943118 3913619.79752801 1317143.17425914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.55906053316816 6.95155753398752 9353.64061500591 147395.873082502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.95454283741574 8.13508165691975 27120.5349548601 203290.610895426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.41289712687487 1.07417691782021 38.6301914736814 6445.41959761131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.212254099219171 0.584984798821132 19.7306096715936 2519.05091243153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.209127613293502 0.44246104906617 16.706716971234 1240.96397034992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.216084942888407 0.36756044102035 9.45470054672565 526.924467576872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.777405156045673 1.48788632136306 234.688262743525 7622.19042308479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.441550436215751 0.641290885525713 70.8860148172853 1428.27024434742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.415754588688498 0.493055923062945 47.4542507093351 555.762600828549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.374450719956682 0.45017206363134 13.5839948449659 178.636481269276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.09383941514529 3.73534431771712 226410.846604618 31163.390338022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.52329013602006 2.64079096156802 5685.95907856845 41594.9780060374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.864042538550467 0.744649525625305 1313.21053079254 856.397688441749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.01198356900938 1.33884562693304 1661.39217311747 8259.94213972598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.20775945303445 0.665126622303112 6688.9403172979 43.5931634379951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.607431016832736 0.263064673309503 2168.34778249814 6.0699827745646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.328981729308283 0.196251316938828 229.263240136341 2.20598782122894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.230775930002106 0.19702040525649 5.63487041066779 1.54739697622784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 40.1636196060506 8.95695765944583 12610929.2435785 615567.100503608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.05250149459629 3.31119329078259 653337.675914504 54442.8478505013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.11316039162503 1.55886563531904 26654.9027042672 5977.90735252479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.859144412646358 0.970850441633097 2363.18046813758 1439.74933102143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 23.6194361577842 30.6319561684602 3636679.56119324 6827366.27387974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.59096153440955 5.41268401385257 272292.616721371 145261.805911701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.82972502616872 2.5309268635414 12663.4697308177 17260.3653635648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.94096337107775 1.73613934170913 69133.1144708994 5281.39479119528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1424366979699 1.52283372410947 64.0713908162447 1714.18381398911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.495777145380242 0.785399736778645 23.5266391702359 992.064906840834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.360092607914062 0.441672896082666 13.0803367619186 94.3548608351728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.34137737255534 0.323483109909953 15.98589865331 10.070755237918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.56529382112565 5.48440272323279 13910.6997595744 45520.0565708415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.44414800845047 1.63960954635246 1540.49370685941 3125.8412362448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.00209211396137 0.769029728223128 523.225571217959 483.13402891383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.830002733111162 0.585161845806119 276.508454358599 125.188702024286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.94858538084086 6.65818309641515 32683.6011172824 72999.394267895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.64533999570569 3.54492361156093 2272.9883794845 52349.1341404743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.15631955498477 1.69960638058438 586.837282560215 2979.4462439696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.10743900544566 1.57267250077483 338.032123320874 1631.22007139463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.46081246114291 3.14959393628004 841.277645003746 310.326214609356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.57325403878745 1.43064813314451 308.050958822841 97.7004667150069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.03964295085765 0.995571546594103 171.724869253038 65.9683727883927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.783640130950483 0.796843986826038 38.5025820692714 64.3070026480913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.314289935504 13.6000059956201 24449.7871706715 60164.6233132692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.18182609536658 4.90173243908044 18276.2973049691 6273.79985645548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.79670021048882 2.47541195415659 15017.7269951962 1414.94219905223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.8731699977227 1.48861967496301 11158.5898654745 488.981378663318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 59.484597556567 40.769279731451 3611867.74296219 975799.284433409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 21.1999588551974 10.5329062779456 767024.666988093 51322.7055780328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.45620292516559 5.6592755945496 33741.6008145132 13056.9292110893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.78683728637676 3.42206566144683 30322.5185687299 2716.56901330348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.38143005490718 4.40449073485752 484.324051679167 352.170310066585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.01987623718286 2.17751258727947 119.754566307371 188.878806306021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.3628290888489 1.53781592510059 71.0877751431165 150.056102990565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.0557080068874 1.18390499686332 45.5473660135121 100.088138862183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.3913443838023 11.5751028711438 14167.7680224183 14458.8372879851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.13967204354786 5.75095035908318 4957.64754668041 6337.54703483346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.56634152235872 3.34582488559667 4450.8696776245 2302.10732184526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.47417246626473 2.2601439178568 2856.41681751972 1380.73093646577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 52.3662137702162 40.4445388311434 10637144.3036476 1097712.94439107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 15.3038777024558 11.1798384905553 397512.046630724 67231.5155382153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.97730451691836 6.88887453776474 14885.7999767055 29889.985944297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.63608112662789 5.35344441472715 7221.28543543486 8905.83464480824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0616117770650578 0.0625582010610665 0.0878292892309684 0.103005249593242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0361454941325685 0.0366531814352698 0.00862237353816901 0.0103256596822309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.043520264957312 0.0437392809674884 0.00684142286019764 0.00726955577606744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0610023250359968 0.0611584948259914 0.0110724400470719 0.0121966686334267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101272360998615 0.102808621179721 0.186620267901435 0.197227602315618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0870856258969526 0.0882671368632916 0.0428901039507879 0.0387725619537785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.11127142611153 0.111869456010939 0.0492007700138165 0.0375465259024406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.14925484119065 0.149471441714819 0.0774753556503302 0.0587548578220398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0500151513080869 0.0497719385674422 0.112444036096021 0.0848293084690918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0315109199304173 0.0315184263007471 0.00737802051113556 0.00952308877449735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0509224971667783 0.0510793893076631 0.00907545987834704 0.0132672743530247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0771632395830539 0.0774562661325524 0.0165935413482469 0.0263918933025501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.149053086990502 0.179739421985452 3.57338791049482 20.0176854958824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0695582318857247 0.0951202253308655 1.00275153393087 8.57476823277183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0636595127240719 0.0844858315623248 0.603269057237855 4.84022783011406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0769751825754465 0.0938931352562323 0.46682858479844 2.91508765624167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.559464958680037 0.354764585456793 531.028231525498 130.72133467592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.198679709773002 0.194114612005875 31.6919279061711 28.2007111986171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.16487766946162 0.177018109865466 9.56137218672351 11.9293148115166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.181875479002951 0.191792387465684 3.26992508987759 4.33564710520048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.879868608231767 0.416330936760697 12710.2360059999 713.833989012128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.181074077454194 0.0988294526371112 53.9256035568348 7.26283609284294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.140852363962086 0.17542345583059 20.7072370582362 49.758199354867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.232512847808726 7.03055881888055 377.951984768451 1772441.55023796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.28114630124737 0.418618414568668 19.2537391878607 173.508047526178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.129793853781924 0.206462058432642 7.12311019011684 51.2267251087146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.106242540072986 0.151981022736985 4.41014154621053 25.2210487549307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106116701644892 0.137547602305636 2.77110416128091 11.115501855651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.45492624959072 2.14146483808489 353795.235553221 26650.349545059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01308672406438 0.509065958505654 5705.7693655956 469.514301802115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.297354280987345 0.311484370065353 196.642066172284 61.4185352343032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.223730512565182 0.253516694435087 15.2343616606659 14.08461896471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.7202559845524 375.877522757804 2999617.55560811 3752445751.53907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 30.0559859720482 2.9160586742137 29154479.91672 173349.54046235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.356226290207589 0.941994277688844 294.01301250932 7910.10625290692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.0575689537783 0.794454081490684 1314119.40858972 4721.40637637584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.503558978715704 0.489625340406845 41.4251358570093 27.257206478891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.224155551752532 0.227453423691707 12.3247808950279 15.9597810419625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.170158026897534 0.164370254960512 7.57414911527946 8.16503926890472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157791427472043 0.145424406019765 5.0408349665502 3.89994560759831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.28584248544616 5.6567475168141 8788.37218335334 387223.25210785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.758736568107418 2.02738463620579 2294.88834454163 51058.9482320526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.50442359216241 0.273404296239424 546.388361313126 13.417482414735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.317338178529989 0.243509438329282 44.3001336323098 4.14729184148832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.1453984852724 7.43854723685518 6343924.9239821 224939.929128452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.46095200697509 4.61772362972512 843952.817485721 189439.406111181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.5285145195444 1.36361189352065 21299.6378116877 9725.60353218866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.498844789390696 0.388515633925556 239.520168119501 98.1695893813517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.13855660213841 1.28220055359449 58.562055676979 186.0006278338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.520296002129887 0.574990238090484 41.1075077833721 71.8187820502888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.342059305943039 0.372277681277386 14.5219015332814 24.8430345707417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.278927468024839 0.285801520809594 8.26298718932832 8.43875826421048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.06630836613519 6.03649327392401 208060.209087156 27053.9432598557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.34315187956432 1.37922672375659 720.083501592919 798.423297374924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.712483964290351 0.66119286688264 123.862524797082 96.6065633689943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.479052682432253 0.462131373716253 26.6751780406723 25.0750446279787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 22.8882564722281 20.6732872062897 1445655.02230041 959569.316839979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.43572014615477 6.43568461819403 98768.9188631654 120234.072454804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.13871855116065 3.8944599453813 26775.4855869222 96971.1794939097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.74518667210662 10.0418648642672 1302737.63754023 2822567.27664897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.8034351348583 1.7709402822802 140.802174732515 194.469902426926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.828063643594726 0.763964059078512 96.5674418566354 40.8963431248277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.547050534314404 0.491854975654083 35.7467168381022 14.519677826786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.426748497601397 0.388882826237349 16.6297379898075 9.27759223226098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.22607200377583 9.72304520988132 40123.4685023205 67943.0860876097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.26525432349428 2.4410997849795 2278.51772294795 3221.1789847812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.04081628156191 1.16841312618569 221.632207825248 565.94071767961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.677129869285104 0.685272117646402 52.4043854125977 63.8497048000558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 50.3859596442955 87.2621048981015 14783172.1718618 135275991.173701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.85165126984944 11.2670428411152 101589.351237341 536807.633480259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.6147825692361 5.88375296217052 2373724.71736445 222565.628691805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.27938044075448 3.78607454768244 9752.58980910985 158891.609713311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.401933897780791 0.376197636762789 22.9689502779531 14.9890230534926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.185706904734816 0.155620665330429 10.7968680776395 3.48195946170438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.144070402840743 0.122197320050329 8.28471362690465 2.21220890718636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.137219420631661 0.12132739957419 4.89258098396302 1.54759615312947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.38089996548732 1.41120553379092 2653.98213150171 2485.02274160661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.602630250379667 0.465850665977267 665.115160676502 247.224666677876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.352965293963534 0.278420769781056 105.639958893237 31.274178094044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.253653235197332 0.235201314693788 7.4704872479755 4.11542037004154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.74101503884168 4.75214085148857 6919.86217531809 578742.326438427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.1742069351852 1.38949312846489 7527.00614513097 9365.6303855057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.496839954850702 0.956673610056639 309.865735482117 4512.03986609415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.286589549936404 0.523044863701866 61.0935934721265 607.113557845264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.918191095249869 0.733382677309137 757.393277984932 61.6394356360737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.37271405949016 0.310152792756589 46.7562733096593 17.6600173770952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.247926772471535 0.212349675265576 12.062035798487 9.02941592313591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.212155394984826 0.183103625769218 6.98308827538391 5.70531417728136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.27987736760763 3.46828515559399 30790.5219157098 15159.9134655873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.13213085896576 0.83314749434672 1009.77329072782 505.258193653405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538515823384399 0.39120007555344 100.531567531769 45.2094081673822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.376126615476492 0.296175710347175 18.2606900170253 8.69332959435303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.7865285626561 84.1312069039889 3906116.97021895 114585486.530264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.47503463128753 4.51400410850005 26691.9242274124 233519.714148954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.8398285220261 1.2764332967116 296630.522610073 5510.54149030601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.910337907603923 0.713975862950126 477.59123779507 712.335546120183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.39851182987375 1.26116905898695 195.427534720736 87.1572748363887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.622380946885933 0.538846777487237 50.0581150779039 22.6744113669076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.418766363263689 0.368516489704294 20.5286480351258 13.2958209245648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.3419819120164 0.302161186329448 12.2807951683501 7.66448004983465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.71740912373226 8.21172052935397 36623.409132974 110438.540535742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.58605930906007 1.63687529906177 1072.09959334442 1294.09504405413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.831930045083801 0.733454447886068 166.722493976723 138.822675408296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.573438027020118 0.466532870584018 42.6322946985722 24.0431880832351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 54.0436220893301 70.9502241476212 30239942.3524771 62367945.3492363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 95.5159890313728 97.4437568342205 304584725.543513 320692600.310197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 18.9910813975304 2.75616544795166 6368857.1894519 20550.7941907918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.66541938445644 1.81445137077818 13589.8911243389 14695.4795363829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.07824736434885 2.96422861933765 326.966924391909 168.883276483036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.46890000041173 1.35061914994324 175.155660265971 80.161005391015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.975194020205574 0.901239803295188 67.7770636104075 43.0810422075237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.744597354830424 0.700703204655495 31.5941925078744 28.3875619616429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.6026787888101 10.253588719312 37126.5793207939 16312.9850289544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.30582871585597 2.86371685902687 4750.38205147175 1298.7033927378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.05022665409283 1.50089884420936 609.721873598988 238.353281675019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.21036839625153 1.00917945234049 121.076224470242 69.4781875064963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 77.2737204202943 55.8988745781378 68123640.1426455 23681634.7529024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.6659772439849 21.2735491892275 704246.4249335 4618707.31083486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.8372976939711 4.5804722781547 11902.4304261028 8044.32110705634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.60206926247272 3.24652017790774 171894.152709226 6185.0448310299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.61062154527141 4.45956557234174 489.730761385022 250.491189500534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.14080895766171 2.11333287518312 162.386065080955 130.691330698731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.45646368650306 1.49537776548682 84.620004265807 87.9007206480219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.13069319457986 1.17041810898613 49.8965986072672 54.0932666631568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.1977469866003 15.804590953406 21706.9906975051 25466.7966663355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.34665679040459 5.59945234112076 2875.15018997896 3578.16439484027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.86085951098442 2.70314346743872 708.232094894374 565.970730579635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.74995258748652 1.63894426449723 178.055627040648 154.546803296493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 48.1890205071312 47.1516039536816 1203507.7747288 1229314.07963993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.6596306486005 89.6724432853987 59084.6580665896 172324543.128282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 14.4504433964487 11.3211550346991 681479.429315967 174422.82887436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 11.0635959623686 9.63060956870721 359160.207130166 194201.719320309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0853595845323294 0.0846412840661818 0.0685987454983458 0.0633806540980471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0913350300229497 0.0917479197943708 0.0560671459732919 0.0342976374427742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1459894162553 0.146805775613286 0.120616797293081 0.0560484882573221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.195582974476662 0.196455045817529 0.183054968553308 0.0766196001865857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155077508428312 0.155032378539646 0.188284259494262 0.150895769597413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.20111011036239 0.201788602434385 0.271824937474974 0.165622198795688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.275397911496738 0.277313868436573 0.427170254466526 0.217226011623729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.335631113066742 0.336579210565876 0.528557270639741 0.283555471715821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0723336949229501 0.0723685969700331 0.0555613163568642 0.0607027391452929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.169405015068653 0.171915385691769 3.33362861596154 7.44076716949457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.03558350315777 1.06872882471198 19245.7191574975 21274.9101365219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.09810746001758 1.09787088137335 859.130794959822 647.566295127808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.19633773613856 0.181840446362312 8.38660540411741 4.40943167077983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139728413399835 0.129598073644786 3.55160777254258 1.84570070083574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.177688345924458 0.166077728213431 2.93294580495959 0.521147702956115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219760848700782 0.209368141570556 2.38053882689235 0.297859795912342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13524424197931 1.2085057337423 7814.46690742358 27761.2260838621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.427293419832893 0.403128274924604 273.034635371092 935.073614839554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.363224670749595 0.324257120869965 37.1644523457322 25.2070543691174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.378447308737285 0.360818496102706 8.0817020983493 4.63075894638924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.563461095536927 1.55978569809648 1078.46666016669 14868.6347090241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.20011256886845 0.584263328243854 48991.6649337824 3255.21347400522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.24481082843455 0.746384841386655 5345.19793724728 979.425910173772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.27887005427345 1.10634152149361 1122.38270999431 744.392185890685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.35176027132387 0.280804307941176 110.03228894439 9.43441621316686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.186110620123534 0.166026355796926 12.1209543830078 4.31292083023157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196209628679535 0.185807962397545 3.74670931795338 1.35322490465523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.229295456602437 0.221694319964225 1.72832950985253 0.764672013733463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.913793169412112 0.792891787629017 1750.89667637415 815.027283681526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.371010879683619 0.360231159852985 36.1231489289454 44.976854946548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.349802506781421 0.349966829503686 7.456040235125 13.2709961341185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.37142688182683 0.374827539392598 2.30406123447804 3.88900950685888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.70850978780256 2.49402356090019 14032.8326511483 67493.672036371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.27044981582195 0.640345450472002 18390.7206869855 1701.18347768823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.649594960731571 0.777158747585993 118.24997922665 638.726861266367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.55541085858021 1.47827898695632 52629.7591844639 4800.05971241508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.487995896707059 0.497160912574699 23.9167707523033 26.6587339917017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.242448145837633 0.236383016920374 9.90982266461632 5.20040343165324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.226901080242931 0.225972485120088 3.89437772043675 2.29256606582933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.247640268603139 0.248628907352236 1.74974681095182 1.23783859289934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.73773435141645 2.04581177376951 135108.222371962 13968.2594827256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.617131906872559 0.745610461301434 445.33676076773 1695.53155183791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.433885753041035 0.478194449453458 42.8036454188321 127.797933792441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.401266143663463 0.422131615245583 3.48698348473851 8.74083893318203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.3134531324144 5.4517768074359 9504086.45287756 213954.461535321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.2829515043862 2.87433046365527 7050.44437139958 227251.595418842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.09545205909869 1.34490549732621 1223.73867782312 8214.58295944733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.32232307268701 1.14018172874248 756.457277994465 311.996071115033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32121549914384 1.40202301218051 228.46921908893 278.523069571682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.587494694881064 0.641581971553014 74.1953330591707 99.5306931112384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.442498596742239 0.488576982119505 54.9607677667964 75.8536530993042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.399647524920708 0.421412675041879 30.340360260332 25.1899492702931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.63368834737286 8.09695454587621 146216.565596879 219608.375557689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.06164738034173 1.96850477580178 4372.17440074437 4348.53157419347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.90814319804161 0.985685850541404 280.78236156393 508.127793986326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.641378131479204 0.682067032717607 51.8224989716181 92.8049037106112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 76.1443178576098 34.7657268765953 181840634.479291 11145058.4352446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 34.3624436427059 10.6400979053459 22505314.4966374 614827.972690186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.75312109290399 5.5772511594264 188870.798814675 536338.228754706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.39916232344871 3.73691835638265 4752.23748186473 89612.5262305136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.14743177098374 2.12771548897191 431.125910513985 336.679176496668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.975930679438753 0.941916472818254 138.676656943232 90.6728310410843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.663022510504529 0.634748791924021 52.5250519030791 35.8361542784146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.536414233048562 0.518491245216087 20.0152180612049 15.70326533312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.2537402072998 11.1693009032391 201648.693132716 194717.053182706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.989894075694 2.63231310359533 14863.0688119977 4939.62120034952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.82667392540752 1.27739883861695 2190.36303742409 989.300822793359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.991043695364047 0.832900145952041 269.55174588328 173.646527478007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 118.530801765353 50.8998208790929 431724201.733836 23148727.2693232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.6445233440058 10.7591430023411 208827.862302566 375331.317315592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.23956412336512 4.28132782282906 36134.2892701547 20151.5736895272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.98807529810016 5.6240045548429 370739.800989345 172974.222428077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.417707942493553 0.404900991425027 49.8637087547144 13.007932288325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.21219198181403 0.20536272266537 11.1992385922565 4.91630947471368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.211123272232422 0.212762647578728 3.2998116006134 2.75174636889891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.236317184400246 0.242865455485122 0.995641020908111 1.55162479885703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.60873585089672 3.30459610421261 13698.4216744219 99103.4684860236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.478586178716978 0.653365348537964 160.075496191996 781.302921884987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.395874495820479 0.451594442561989 30.1862832826396 85.1297057119906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.405828355008716 0.411740389516621 10.2171376623815 9.93597548705228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 25.8045327463297 34.3044247673422 14378285.1394395 75281563.8207784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.04695321444646 1.16777977635794 3090.72580450648 6599.38963511937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.92950019428999 1.05786129930579 264805.780799649 1137.03834288877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.64271635138145 1.50052062943813 4000.48877967036 3525.8168427291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.855825997413364 0.833172739421905 781.769786464685 471.608114411724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.391466755111421 0.375417340428718 100.493213013794 149.911190362182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.300286461919521 0.295122346017892 14.1626086261859 21.9462043786535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.296661222066263 0.291237900070965 5.78165969135316 5.21675909356702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.37017394818773 3.63352454051798 6196.95911490727 39834.1897421133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.729724707026689 0.99245664576093 183.676589904756 1178.40143311437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.524935758392447 0.591627205794617 47.9143451411004 124.81879407467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.470475384040978 0.490611680836407 13.2885251402091 20.4250908154234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.0649246778436 8.13448201462833 1558696.70238722 268418.007619409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.72578792605384 1.75333777202025 21450.0077184996 9686.15204960991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.39718045909708 1.46075429332896 3491.94683636551 6813.66729853763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.60325659193211 1.60897093373565 2555.61988137846 3490.73407841388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.47332412113422 1.40658247353542 320.162424636558 220.081201111138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.683277140830536 0.640368110575938 140.240466595839 92.8016567255447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.493961278460137 0.475766784559552 61.698006526555 46.8710844537238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423960641705654 0.415415962710157 24.1177261363256 17.0330615467353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.86821766756082 6.81472789352191 88139.7230102368 118032.822829834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.03959687682154 1.95133640273172 7053.51172615274 4734.98889932034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.933473108005252 0.9214646862996 492.897372023756 351.183945991293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.616416618379816 0.64906041028084 47.7714391140562 49.8790085962038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 37.3691489806244 266.940715799905 23260170.119916 3565313093.63549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.45118185995756 13.4470004203306 240221.605897547 3521227.4629262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.91821980254411 90.9252611548118 42658.3659037499 534399688.781727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.98059343203595 6.20898595679074 299110.245219563 775074.099745233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.39542806663463 3.36773061974637 397.128996855245 470.536844675661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.55233033050323 1.51002214818664 139.990991946224 131.571402555735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.02580927593622 0.991977616784811 65.0958025803963 55.0242878747591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.780643293516699 0.758432483988898 30.2651067492745 23.8200864787833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.2256735837246 13.2929587066962 34095.2514310295 39546.1503149747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.65274386489663 4.64789280084871 3390.19885359279 6099.42803375338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.72555431391206 2.12405642072941 557.180616607769 1263.78787908641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.05792858568827 1.21900711936057 108.180937165798 226.548389884863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 99.5007103724618 42.7938616842249 87574244.0917106 3877270.47797652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.6058160357918 14.2386921428564 243438.280556822 306075.73548594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.4462547431627 9.77581497038166 214991.359329403 337390.936168476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.5207459856223 13.0098125852193 5108818.89163592 3062922.78527116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.94221766818026 4.88642124600534 1083.42444753651 559.02877544268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.22704836425356 2.25507043588195 149.531149585684 217.071902057927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.46849603826737 1.47290564830249 71.9966549150204 104.601430286493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.11098416830331 1.10098669320177 38.5478294809507 38.1320916181373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.9907630988341 15.410681268102 25427.862991262 25236.324487857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.67607845859488 6.04943148171762 5063.27746391686 6451.87495678999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.9565862967205 2.86218640686035 2211.0765376922 1572.56305379921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.67129548559384 1.61232219848458 396.6229943629 326.582919347921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 63.5849882633426 69.8634763787465 3636741.17295976 6349063.45801922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 23.6327776247277 51.8808587400325 617210.708525357 82935226.7525203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 14.5461063571953 18.4314912198822 352475.971751369 1244354.48350734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.3785652540822 8.54951681743602 273545.105480229 92537.4996636727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0534198124837698 0.0527316238547583 0.131023924759338 0.0989024803220025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0343715298510709 0.0343243263440312 0.0142212011558369 0.0126337058347097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0433195011537257 0.0432631702267716 0.00895748867940904 0.00777584611277861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0611007970938698 0.060907744698338 0.0142316365566336 0.0124065377328239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0922487949319819 0.0914894717949214 0.23066017790355 0.201447933431613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0730300810034756 0.0726253600401006 0.0454786285696041 0.035239251895931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.103360749180236 0.102903523983262 0.0509129955473112 0.0300414980086895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138816503651648 0.138181603100735 0.0842936116542704 0.0473896414920043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0422682417152297 0.0430206096543948 0.132679910118516 0.126458480765746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0294030666708243 0.0296531961934438 0.00742916315298499 0.00943891530182194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0490057757186914 0.0490544778346438 0.00987607964730784 0.0113239481993374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0744601958175171 0.074473796628335 0.0196055518984144 0.0235087173964004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.14703945507002 0.156657961547601 37.1564755318183 15.1133328068252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0790726065029657 0.0956544475458948 16.452876807596 18.9852887633362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0724551842991604 0.0727008821198549 5.43428626427339 1.510105543175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0821078958562018 0.084040183619794 1.79644047853327 1.10260265485007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.521958788368898 1.60712865216168 891.863134750236 21855.4612772217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.251180462739554 0.294369302859411 241.269370751432 304.000912762506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.167438362601175 0.193431434483303 26.598798088223 27.2662371833196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16794062294637 0.196853114227834 4.15567941948736 12.5110046920922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.13633707617645 1.73826224517865 1300385.61625135 30781.1520747374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.195055241720942 0.753171079854518 130.827522137209 5153.45344924883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.187824627048389 0.329813574110123 108.003183605146 1007.16820066218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.813077824663906 0.145081648425755 17337.2636740399 15.4056711835777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.366474387411653 0.204756717831069 1029.13465877257 9.82029578037222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126128177659559 0.0931728464116582 41.2185709795736 1.74038684104696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0941378862430017 0.0813364068307171 8.92134882144114 1.07685385121778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0933044214440692 0.0915592280261026 3.09524291924707 0.841380922393849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.667050747418036 0.691251999284026 996.962645498823 1233.67668503756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.307924886556573 0.160225712478131 140.442269291784 12.0140884252357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.207865777670534 0.147230841643278 25.890885219104 2.25358050959415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.192264839682525 0.176402118356789 6.63036987550115 1.71566127221708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.65594858195061 0.707141494317643 31286.4013432171 1379.54036121583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.19527775078147 0.231952516493591 154.46803067238 103.373191018547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.181984769358748 0.149887541136625 37.6675344639764 25.5901718200313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.161484737145816 0.148085278493059 10.8095622132842 14.5527540751341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.495945248359731 0.431058991155106 200.169942959407 43.3924302200299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.210604515661646 0.203936847847508 29.1466862663033 19.747814973831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.159678876965573 0.157572557292874 20.1283580208276 15.2414824116837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.152258646215618 0.148285815427172 20.1577620591625 9.52413797318979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.36626165501347 2.37165471457567 3583.85350081801 23265.3582004901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.476378158435437 0.521958960192276 437.743323526334 357.650304116028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.391527925355755 0.311480140563068 554.241601378463 77.8915927126529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.29110396092751 0.287402120483107 139.444641732849 92.7425192840731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 28.2073590401923 3.94764395611133 18329606.1197544 79785.1101705571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.569883400937463 1.02741714298085 741.227095802228 4542.77847562356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.708995550151591 0.607667958327349 2648.33622093438 726.502326385507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.515497784422335 0.323481803438608 1100.22724787823 81.8846044702113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.05763417084142 1.15303128223485 569.852713785196 391.868801667208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.51258917502624 0.503895072528451 327.349827341187 84.8602555601172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.381896038983438 0.328238726119476 202.969978579366 46.448204892067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.280536422530704 0.254243441544587 23.465281129031 21.17440562795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.16562107366062 7.35706013834775 111545.031501621 166257.091743058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.01603425177123 2.03785082868752 19858.8922435626 20167.5041937941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.771304381337305 0.633451616025835 559.079792844859 388.606559128028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.493161498088261 0.398832693598853 107.987500220441 46.2702277363289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 17.1800980714441 20.8608526577142 1215510.69743593 2679732.14439226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.63463294649479 6.86690617410558 204607.454726861 444951.711342108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.44176267854015 1.42343601759481 3887.75471205055 3135.23627701091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.972293526725814 1.28557174565783 971.462626650335 2416.19774821006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52819173500638 1.58588351560218 120.050930801036 172.550246473045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.691665779114061 0.730438133783516 44.0240656175397 60.9465946638346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.461578436204477 0.48785816396573 28.331899988509 32.2667088667345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.365410967859 0.388297487111155 20.0396618768874 21.8295834849084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.91665588865458 8.47687636318926 41146.0042749862 122371.501575832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.29027380992442 2.3512542406749 5944.05015483713 8986.75266018784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.16223683679101 1.03989344642543 1419.14176362817 1150.52828314145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.648480759626459 0.551785758029511 227.322652326925 52.0726038517599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 46.070811108172 18.9760353367395 27308370.6121545 758527.455671886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.47013879262807 7.48970587705778 77093.6617282554 192708.14093525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.04241110658642 4.27083397012228 56117.7201108105 44489.7061723853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.56257581578406 1.42266487632145 31907.1020700285 1196.43799347898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.342361040391496 0.390925619435249 31.2149256942163 121.261691276458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.157356856109249 0.178827832328691 12.31681203878 33.1122817734005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126464341806085 0.11891787499911 9.2055627277702 5.351706989805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.127747479687424 0.113279360326818 7.98543260221849 2.03361444749369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.81766654936371 1.28968841159621 7908.26941934444 2629.63528564332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.902242140014282 0.39837795838562 5759.04016491758 157.561624038337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.414884166987734 0.262665343356855 594.766918509279 39.5696882302205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.292277973640997 0.264212119999838 347.839482210243 33.527446815182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.3060525070934 5.407682840719 2011724.4757734 155620.112257377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.00737918955732 1.21781594589508 53073.8869512147 5029.2979778541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.999717109851909 20.7261995331258 8065.24285725205 16947485.5483333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.596272764150894 0.40018231511789 1308.68874809723 383.83479781719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.637852335860353 0.642355908929133 91.3774346257413 126.402313058223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.291292861545169 0.296430526868523 32.5419183239554 32.173031708055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.19368848555434 0.206106620869617 13.3854632101657 11.650523303761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.161648362454037 0.181400594295476 5.7187475899793 5.92140334226928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.38136210256137 2.65574577437724 89723.4835274062 27515.9081572041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.06114627182216 0.841054111467816 4734.51192051217 929.384281235284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.385890452443601 0.433794836925842 123.41044790178 84.6271291390648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.274478682215806 0.321835408194724 15.6847926350743 17.5080695943136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.0366437679487 7.70238826194209 695421.062560179 289244.673442255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.77997799285369 2.54360086377354 10350.9771554508 33351.396946986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.68624786712697 0.619349170610325 621.47321457322 543.152637311226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.495637588994862 0.405312909452193 233.269844904875 67.3741146580701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11411645339527 1.17604908916575 231.617041520992 385.09402165468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.509720426189793 0.506035438112714 87.9182815109789 57.9561639672089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.324223371982359 0.34187345621268 38.8639344204431 25.4701456015633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.24426035679735 0.268525886440531 11.1301533416169 8.68809022995763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.72631466551084 11.5311194593971 109370.610722526 341864.699529427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.34215123933469 4.02552531418373 65205.6237666369 76141.7596342024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.884524444081092 1.23719311394034 1163.67610022884 2728.63380014758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.584754591925716 0.52920105793598 278.147445094942 95.5350137509504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 60.249638374099 20.6066967263862 38971012.6160993 2246649.94531777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 17.7858603822006 9.61905436254211 6239060.81853543 296217.442304556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.26224731562734 2.34991232085907 13037.6029376938 14095.4509056783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.35003925789725 2.1185623884854 3556.99044018791 17190.0227706766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.55131170010107 2.65194300558625 189.543880348537 297.689224050685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.21851861068231 1.21930582258596 91.7098300565931 115.326648975478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.820854025578375 0.820841002930354 52.7273104154065 63.2206670703519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.631715007587859 0.63168270737009 34.7003660996236 36.0330490138548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.88679105235047 10.0468414594506 26892.9791588818 35933.1722402939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.66291341910441 3.55654505588611 5974.9867773945 5449.40517611034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.99061408068643 1.91755591268332 3180.11295774683 1663.90614383739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.07590704160571 1.134464994272 391.020366637993 370.485916173827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 25.9904183550178 30.733201922471 773239.987113493 2941350.85653229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.24737937357574 11.1706623669922 94785.1008544146 494574.029387336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.25551679942232 8.96835443294098 56765.5054593652 544188.713559564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.94218628587127 7.16489591574297 125061.428299969 587442.211940343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.93005897434717 3.9028918368594 398.454611198152 475.76457360406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.90791139251069 1.87561809066963 186.755470798023 179.38233514934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.29626500005997 1.27747515246706 101.943057303924 94.2333265087038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.97736688532503 0.980218470171703 51.6668099449228 46.0717335919037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.5627879933319 12.1660273869295 16871.6033251225 17593.5330127375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.16170825850681 4.6140214603679 5453.05829469549 3687.37532396262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.61508220131252 2.51034227034386 1424.21420722765 1321.24284043914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.68415109176708 1.59449258276705 612.737928188087 357.158970920287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 37.2573025040049 37.5977595917802 1006537.99841448 1012045.32240406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 15.3677830627801 11.8623968220286 407937.182662931 223715.587474805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.90691288770482 7.83756126922224 60789.4255895576 35494.0961259697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 15.0036330609785 10.6135145697313 5013169.31519947 1186351.86833229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0415613711031881 0.0421057234247608 0.120715119970162 0.139910628762189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0290273138140156 0.0290822466281972 0.0134252691246466 0.015775567693615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0326986746563618 0.0325419144513333 0.00517795195268714 0.00824264702428825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0455773548668168 0.0455209317961678 0.00490842571365145 0.0106010090983524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0660354668292322 0.0665599807371021 0.24988652561855 0.258694612804475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0615948253996788 0.0614026305031138 0.0405262627689583 0.0404016228448863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0677124552576275 0.0674015941323655 0.0206779970837542 0.0238271860262296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0910533045322619 0.09063595574396 0.0227869712452226 0.0314338485330367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0399918563282726 0.0404488645748824 0.181670922276967 0.177916600875183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0263204171226139 0.0258563482500703 0.00859937417737178 0.00865984472813272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0446825811677255 0.0440500121984663 0.00523332977816436 0.0110160981805461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.070237789873071 0.0693793317505291 0.0076996909533855 0.0243251084262493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.113110849676865 0.104916449646425 6.16138534689131 1.82885389034742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.06246648928534 0.053561839532524 5.52444871930417 1.08462038305836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0582214869283935 0.0484437436718045 5.48604559659642 0.889255475786076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0685484298405332 0.0582587080195356 5.46102983689391 0.688324616533634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.599900350463491 0.468894913818164 5947.11180710712 1880.42257832984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.323537810123412 0.131776436684079 1643.30693944167 23.8756234840238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.228678684265746 0.097195055600804 239.928727028816 4.12957919805116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.196556024188008 0.113428483336863 81.6448979185672 2.8474996200518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.4090655652494 3.13211837460863 19407137.7291526 312036.999309888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.17644195244297 0.291036602465668 34338.1650482257 1404.98076667718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.493490273519913 0.189441793715649 2648.54730102677 560.162139166252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.270218767310671 0.294178737284862 373.54083805268 1385.49969214899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.206840207079157 0.202309568577693 15.4937068630624 8.64398337600803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.10004789904001 0.0863201554538948 8.28232864205922 2.2936663989719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0800963451953881 0.0652069104147379 5.96907987585988 1.28458309181667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.081941959922153 0.0686057993257723 4.49313616762341 0.826195022486362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.781265845182571 0.766857256643177 2027.69612730298 2370.7411185972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.221018878625618 0.361071416613151 63.4627045985282 592.837171955145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.163974260650276 0.214833545643895 36.2739103577004 163.115931878719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.174595328673194 0.149522094689282 30.805145343843 12.1667655640269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.42715013654763 1.25596798212873 521.441086162808 7251.02617211701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.379609141415063 0.367670444782796 1353.79700193774 588.496791826063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.280391221470292 0.298424318812904 308.806060655732 574.252279057783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.237871700937222 0.304392167063656 213.157639126851 326.446856069413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.367687265463877 0.376808420631187 17.8583996171113 36.7707903155383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.168154788521561 0.169785701941778 8.31530311415803 16.7287450889939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122806787914235 0.11963858730184 7.23790538251025 7.37711820429029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113617835461451 0.110994721327669 6.18844048679202 4.34679058277634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.08352850591836 1.75607852791565 70012.5479740763 13001.8221864981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.57243409019172 0.563157922890119 632.669395798479 839.920646249163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.361725138972145 0.325113119274273 264.597708967224 193.676063452647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.225594712318606 0.242620276413362 33.1915797970785 51.2088281271112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.98155869766052 4.21707429203052 1622838.37296458 211772.601697347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.929494428419788 1.07866423058687 6316.96521541226 5025.94398010254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.485231241893398 0.543779596534269 734.996813090207 2097.131482043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.548832638621611 0.451640913805704 959.269394765752 659.373889218968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16320084283489 1.00184790114836 2021.59864031273 180.627154756133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.50070484051511 0.418974178767716 131.151538871497 25.3578193181295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.319274843124101 0.271773945574091 49.060423594299 13.5270926299987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.249865991826391 0.219874494320599 16.6347297843809 8.67882832597549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.70152368971942 6.43959500750337 66037.4921351352 80918.9877889625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.48095348132229 1.9448588466908 1833.58457114052 26604.0584247954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.729216737834453 0.962893563650848 206.738277657268 3466.37525612138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.494450690921409 0.502577166426334 83.2387497014338 281.803815259973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.9848706607522 20.380481762033 1504195.55128123 2487076.1878783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.29314153462376 3.05610652593268 33572.5734457099 30440.1533541391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.74332204631804 3.86482130202886 6909.43615793728 59894.4664651913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.32539657517482 1.2571781925277 3354.18849243973 4121.850270727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.39618798848044 1.43595795928981 75.6560895430586 74.8236368081926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.613945216033933 0.63579537431362 26.3662355140232 31.9331445059975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.398229468705723 0.420725163213543 14.1580490875236 20.9942194976408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.315175309216156 0.33846658822105 10.0888040224792 15.608490178309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.55850359389936 7.94985958429481 74498.8642914413 58381.5059859935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.40198410800815 2.06122392483073 3226.5190990585 2951.70790686939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.17360109677587 1.06801880377456 645.535709674026 632.307654211132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.685213488469714 0.691010033048666 135.240856997098 145.351996750213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.7609956547306 171.843150048931 1332438.92548891 667701476.906694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.2764479836268 7.27597108091034 621860.773957191 285866.751543272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.37040357089905 34.9207679168477 4665.35530097771 29012157.473349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.1595763037008 2.03698062288074 13612.3885785219 13740.5356016854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.292568521486128 0.309027954047089 15.5242592991926 64.3794517817513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.128535727867498 0.128177240549992 6.0190925536576 5.66192798541321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0934178259512389 0.0927940060483273 4.09184412108583 2.84065809232944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0883462178175611 0.0910860456262877 2.26947196829703 1.95855790833157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.43795855061348 2.04828972364263 7795.23192832956 15362.8360107029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.358183038281788 0.471597807002533 306.55078319295 460.325571017111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.194298105528708 0.237404638909958 29.7322113250178 70.8234367847989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.163810820637927 0.195626223446191 7.31265629545014 19.8934839981894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.29617023911809 3.02775997213449 685518.711430212 51923.488582934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.551610771530413 0.732287225931892 1226.08487285353 3164.20708529131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.38983448498324 1.11611095230266 64440.1649598864 15978.5321335756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.31410547194086 0.420808957938769 197586.139151327 960.351639500851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.614182098956866 0.531297014422891 83.848767150032 36.6278026352086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.279170823665749 0.220261697832749 29.0604876422898 6.36507100267132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.189242667324509 0.152009946153905 16.5169021087053 5.23871197571742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.158144701763247 0.13504515610096 10.1450506002626 4.0858650737448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.1452620731412 3.2187268853621 30086.2056253138 18671.1641685059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.988449265856402 0.85906208629577 3151.24639977505 1029.5850102745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.411073644528053 0.471291788845384 152.857056429048 248.435818116397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.293411382383004 0.328783284656272 41.8064012534141 74.9157026182705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 58.3113894347699 4.97700386019835 145492173.955411 80463.6647373685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.51044119883499 1.33678901006189 2256819.96826844 4284.13092333576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.938720102389463 1.14165740894958 4446.62915544034 3738.61343213833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.528398186260931 1.09978389348092 418.330509046814 8501.66003511159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.10180806708516 1.06911595726679 262.404957928229 174.410281261705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.477041215631631 0.472236382444528 68.6298626716555 50.2528736335708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296134880140301 0.308686021062391 22.3601771115534 19.1506487476515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.230306458178449 0.248596450068135 13.9205748426243 11.1553280617227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.83868524809081 5.50540383396941 40519.4286487859 42007.8169697893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.16894433141448 1.71613983133068 849.330695911566 4211.07977882814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.523665647779181 0.74378355682811 111.879348753563 394.339667307581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.369095949775504 0.47630041921017 37.2071028589825 106.426335898302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.7703249578883 10.0915083960565 845029.228234394 266031.525728556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.0566520209755 3.01665357877715 4597226.15261572 19572.0029597927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.87105123397244 1.76587255941494 18326.9301186344 11639.2648809538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.959284493046103 1.58530665038124 1117.78972211737 8863.95620908686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.5876687143264 2.55139408227902 273.771936726351 246.864897576171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.16912783994226 1.16253018182198 88.048044054708 82.815278993911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.782059338122344 0.775430673741039 55.1414973605236 52.7715723096658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.601103601484354 0.609124206636455 32.4440873492706 37.5556767703674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.3332709972454 10.5986982409664 46692.8556676598 43329.2378502146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.27500750725893 3.57419517677629 10496.4352919103 4789.8988014572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.90397512116662 1.70604087524796 986.630690831387 907.849051642444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.08080924040871 1.04903407190328 188.540287882795 212.880532870087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 33.6283298461142 39.9886540499056 3560408.73348399 10328431.7213168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 25.0120599029265 16.7953132215266 8956318.5540402 1287308.68143082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.06424763474865 4.96031839960696 140419.266100696 35805.0306167134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.93538825517369 7.54625729605599 11964.045804244 906014.106272423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.74131448479846 3.67882720219356 500.605087890459 259.051048760457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.69915228185717 1.75805267346187 172.908702326345 123.902459730785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.11611388138273 1.21114825896119 82.3779053973587 82.0807612682174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.850840274067955 0.960403807419983 46.7051661517811 57.1996241770775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.2418929489211 11.0489955871055 20216.6063037916 14133.6236568709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.62873431638888 4.98866283917611 3546.76006726865 3941.76177594697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.39268540581997 2.7583353267579 1016.60434761004 1074.07910809171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.5120749932173 1.72594386925424 311.663271151166 344.467794511558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 48.7604896895666 65.7731806553755 3724192.57938061 22450586.8095577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 26.249581817022 19.8283936268381 5390655.49945822 2665870.08495263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.07537686098219 5.94361273147419 60489.0464401163 18345.3111007543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.93637007695309 4.25351585746522 254779.159741646 12543.0297852026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.123080109866595 0.114332649301236 1.00817308774414 0.713049275816725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0381605624979686 0.0348020907072046 0.0794186030775161 0.0509660917311025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0215701652731321 0.0204626422359228 0.0187708332456536 0.0152801345352653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0157052120177186 0.0150650303417637 0.0056306537910343 0.00503393383647388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.149832113012374 0.140058947266455 1.747976758483 1.35466481297547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0573836880002582 0.0521481576440638 0.215258354821055 0.168161771088565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0408929125576734 0.0382999147920767 0.0767428713230029 0.0585475375394995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0351391357614026 0.0334401210872568 0.0276418920999609 0.022482855238062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107221871064616 0.112017616756919 0.519365838223018 0.900234483569882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0318793195102261 0.0297385669440396 0.0574201921213205 0.0406936217753038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218010652624517 0.0194056611067671 0.0216516297308259 0.0122858429220361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0210036713467489 0.0182184607923101 0.0162097215982587 0.00788647054096171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.636137942129846 2.34098549282319 572.522209820112 100326.55833201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.255339558744282 1.46753279924717 89.6678939394742 55864.4524846517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.181372826779346 0.743923628821988 60.5009802761104 12979.8852251286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.137342396901995 0.447792962440886 32.2804852474592 4350.3289386728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.74453608935673 6.23121915448221 338058.145504241 321505.966859019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.40800835779332 3.1055126557778 11165.1769473231 79545.8588482834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.488602748829389 2.05169759252138 921.354847409644 29566.2965747004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.239091586505132 1.54569450201402 133.366074885192 14320.8111871574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.04470526629727 5.34617795765865 90048.219795039 201316.442236831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.3498768642471 1.57882708297247 3915716.46952676 24266.9679589878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.598789527942152 3.36391889194606 2969.62266851228 160273.634752037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.6830829295341 0.474342452202082 32318.636559718 1646.53896234155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.05053539587463 0.878050862215524 282.808592074583 70.3930424313864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.394527140776212 0.316252789680742 72.065795671123 17.8382577035426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.242058511148497 0.185654564782156 39.9099336433025 9.69660605963311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171988476340018 0.125042258616684 26.7017936781888 6.29104651937629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.33955410837212 6.47346180968953 55491.98797665 393242.852362758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.33645085455686 0.910387976012134 45159.7692019144 3303.0778769785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.66089006330566 0.321857259712227 19258.9172104755 79.1457014590541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.17303782581261 0.175187995152443 8791.40471068903 17.7040424850528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.92568421745912 8.17508182541762 15707.91382014 927293.089646256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.322937868738664 13.8647724997419 28.4240347757792 3785913.14616674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.41734917202666 1.72878267771922 53467.1674056146 46690.2071868612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.200657658172802 1.06346940534733 26.6864412424095 13225.830062187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.91269773070005 1.70440170515546 1459.5780561859 354.559967071347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.923816632147348 0.592944287379393 2247.94111249753 54.0660391704137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.734655536387193 0.353626359994688 3522.23057153123 32.937936267687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.560434555871304 0.24391187911286 2462.04825083536 23.4665760279262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.85197595317836 6.02146407099608 1029982.14474798 115936.822564235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.83314403127766 2.56067205556725 95698.6163378744 27860.5784586589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.25826353265793 1.64090013377956 12361.7696067729 12142.0227233162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.680303664809079 1.20646318422952 1721.90402448189 6626.78970386891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.5771467367513 3.32915568506976 5338383.49139729 38139.1251961555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.34352470798637 0.757193138398227 851325.389124932 205.654501787446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 14.6068349503896 0.591184456123207 5729024.70996572 323.911550608657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 25.0976781308265 1.51725942797116 20814433.6880857 33340.0455105407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.82577842817404 4.51442510532884 4283.8351786368 1344.93704467508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.10976525070643 1.87705107014638 2298.51564118103 836.088937926772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.35317547254831 1.22769150858887 919.904212214719 599.139821787919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.98190864153065 0.905213618320693 508.645083088001 448.134071330789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 36.85298318197 44.473426000441 2491945.7178772 4218956.31693631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.9150573242092 14.4814596498593 1541342.17574216 404768.159870985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.87059926335394 7.59983389228402 69922.452609668 92522.4353984526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.04512811202058 4.44711045985507 17561.4465505903 34372.1222996891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 50.3944665923969 13879.7272588446 11278583.9865382 6838269744854.13 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 88.3887267857383 14.5774565708036 59332227.3611193 705931.427806219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 25.1561275575664 14.477699726715 2834845.10429134 591484.06525119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 12.3329235197361 7.69419054681832 537403.631362893 291359.64137048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.44815150562999 7.23905296017778 3186.68747679215 1748.08798274107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.14708659280273 3.03885513093157 1058.67690954361 563.344177807381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.054857851204 2.04767633191701 608.797954299788 436.790548609422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.5096896086682 1.56162462173217 385.855655565574 404.210075961844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 50.6308136155226 59.0566804668683 2084042.49437282 3152828.02395272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 23.1979854734181 28.6467281632575 884285.518515924 1325036.72218184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 11.2300377379687 15.2279340954929 155891.009647593 262732.213420082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.70721969105358 9.04378559547411 24223.0617972422 72262.983821354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 303.789768671216 107.844001003796 510833212.996141 42717708.3862558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 40.7188998023812 124.151600851209 3669140.19843032 223770890.2041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 35.8657751731063 25.9655308821768 18737829.855139 1502105.63035098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 26.7937141464169 27.5143306747294 5900017.82205958 2885581.26440974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.53545128555281 1.52186747593858 399.103473203208 440.084516391546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.728089536227496 0.637306375292064 336.156862480323 174.575869324185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.476734538698665 0.424448832941012 149.873143233532 121.794152111691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.354268438018609 0.323069188418996 89.4531559582407 96.2116843141225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 23.6692999483862 20.0733600106503 6125637.74759687 2107581.78892517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.81391911354459 5.54999042797284 170578.190793835 100991.917750976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.55621212692336 2.68764433586151 67403.6084274213 20154.1735986408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.69870325298096 1.83538498705714 44575.3585099738 8934.48624153203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 45.1035497939423 55.6178565735329 41176901.8188756 73819711.7223191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 78.1119548727896 4.92699446989575 92942969.0537454 105949.629080864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.75489703337037 3.65068269037084 1281902.34598489 87837.8987689659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.28091893044052 1.72841630775782 1843056.08094222 16279.0624473614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.93865691229763 2.7089206641776 757.640341615618 482.573020326938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.20652224070828 1.12648581109917 249.454352232074 211.28646750784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.815018038019885 0.747382407111714 172.94308707133 124.475109332418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.611311664607014 0.558270814126414 130.129665021533 96.9407499170336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 49.5104771924562 35.7871835355372 10163297.2415909 8721815.1412841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.992738673925 10.8353615692209 400825.089696834 376732.687401525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.09371741840191 5.3787684470769 93252.1906504992 46314.9644380785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.90138474253484 3.39690898409787 30363.6471366953 14686.4863081641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 40.7194942275025 256.632275631701 18829114.2252082 864223421.570319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 26.6837498665628 666.884714846228 8065939.65484725 15499559944.0179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 32.4496073808809 16.725622001965 15285639.4763827 1968472.68347006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.33827843030594 28.5336898587028 419813.573033339 12139558.8009855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.79618858286441 5.27366091756746 901.276268023289 3138.99361518223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.03872694294041 2.29152471383557 407.903869365914 1360.70080866262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.39102368675843 1.54424866880335 403.095145108165 1186.23510843637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.0823907641456 1.1555749467099 472.701018433282 937.393133852023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 29.0664926882619 33.7488913501961 1142513.60364545 1850100.10832195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.85785366510343 8.57906327624816 74725.0675662617 80907.6143654648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.07572747903312 4.66123559904496 22542.9517313634 21014.9529902844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.19798872396946 2.81051019271288 7994.81583192678 6470.93627143468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 48.4303289106337 167.320541258621 7459690.36953469 381557373.812917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 25.8190293895642 16.1272967617736 4823679.41691405 1195838.94566901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.96503613380196 6.38444166580293 277590.679573668 79533.9747701401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 23.7329703746491 18.1207628588581 13413323.2548728 3278080.46387804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.9379970015404 12.9404231833843 5411.25571287119 4500.3456864515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.72901018364321 5.66027807564502 2404.66344411797 1451.99032261057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.96581525532847 3.83236305858919 2030.85099397155 1191.81149599792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.09203534286654 3.00999821357966 1656.20869722168 1493.49225626953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 73.7936433762906 73.5158315079129 1822917.94185787 2492104.23924002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 30.7516903583329 30.9932401743296 331600.458935066 402692.239508441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 17.7298151490505 19.4846358738782 120781.530481436 142831.451406876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 10.6856021236044 12.6433678612879 38837.1848110385 50552.6613880852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 143.391450508783 629.761436121593 24649420.6171589 6403370222.76155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 96.0391202873122 76.1786215563879 21901984.7288313 27127969.5081135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 96.2228800697263 38.5452511668952 41152342.6581278 3413969.06851185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 38.9635994265452 59.6508307528086 2607274.38798382 15550361.9419111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.9541277959789 19.3364439089138 6749.55978078155 10520.9508425681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.6237390667778 8.9490882235232 2427.0442046429 4585.54824097077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.94638694928425 6.33080004322269 1609.3065522586 3971.32466269489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.66126942850254 5.05519770355296 1324.42295266169 3520.49473219585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 82.6062920384349 76.2454560379162 841422.763461502 601280.929040911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 48.075166882335 41.7680041568659 386853.441123677 302022.526936548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 33.7861190339636 29.0274430347027 221195.462376916 184081.323395268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 22.4668120133879 20.59904735175 91180.0069879475 109708.061333146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 373.194563966878 1870.84438945509 369644867.293062 48457102958.5365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 288.631486754224 117.846038035337 633186549.338923 40198504.9824695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 69.5827734844796 186.924336015093 3448890.27262958 262189195.050649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 176.581362101439 72.3423420142058 546764663.167272 24711844.1129181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.134466891027878 0.140321020612271 0.687126757655708 0.500651845794256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0457481188816071 0.0468599321952937 0.0450653874362544 0.0369511541957908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0358623910941499 0.0332413607808069 0.0127944271431391 0.0104176018973779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.041685930387508 0.0358670540303864 0.0108835864119989 0.00722020591238222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.150003269471377 0.153622137144632 0.96246902822964 0.746985919950487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0879581290118952 0.0871010365047029 0.172033407269293 0.130967431171754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0876259523803003 0.0813482720864824 0.0670238071714811 0.0513667146920787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107573276547845 0.0948929712099299 0.065272319882233 0.0441396715751716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.108104140341425 0.108325245457962 0.419528325011585 0.364984514798768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0413399997943841 0.0411532048172067 0.0377229120408813 0.0334722292800285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0407461189505702 0.0367330291941192 0.0172595398383702 0.0129287644966427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0553994404997208 0.0479689354796845 0.0215370599980039 0.0119627152651392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.699285329431099 0.760645492968702 320.17591996619 1087.76171814177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.286809578588986 0.349456454281845 132.865900728711 572.200323879695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.199530867868661 0.244013432744475 81.4818568777236 323.616960141696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.175302435867945 0.203859021182878 86.6891670705095 191.78816908754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.4336082025768 4.08791447949991 696468.195531425 126733.007121098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.47467696733317 1.72569465446224 81085.1303357665 18024.3031804664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.52043002741669 0.791531364165991 13313.4086002423 2730.19741702586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.727958774088017 0.603181912603676 2370.23732316507 1186.31345652743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.1753206607042 6.90754709989629 1820072.49158555 377531.620710886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.04069444558616 0.751105153301142 403368.518140553 3759.48214049123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.52343271574765 0.365497748401389 62121.1293953479 385.531076958929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.93683535129931 0.328983443609051 29860.8734502564 463.011034689807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.15206602192094 1.10774872164356 1106.06052855491 283.583482522996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.468888792344951 0.413162174433411 593.165557396504 64.666240735425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.262317854179826 0.245510451442255 133.686230676029 27.7070198105653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.186587887283307 0.189510979903876 34.2533372526757 18.3164111551966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.45753819727197 5.75731933520916 21777.0588591723 127632.578607625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01535912324256 3.12374102707482 1799.83498550315 27203.2658808557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.512312325522933 1.62842173478762 336.998920573454 5982.76952110857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.348522871474451 0.978333801237197 95.1942033300057 1727.38402944767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.44333922812361 3.72903579670718 111121.206521066 87968.2001470364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.86321312918099 2.38750114284951 16331.9348298932 38085.6238242287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.15347394493531 2.35986606659427 12122.202003936 28066.2870119984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.66922159223697 1.27674308976127 31694.2697256789 6478.69728032396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.97925950170808 1.94683345287453 534.502489387324 409.782936077179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.706142173302347 0.795042732458212 109.329195571718 223.695103670468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.42543448215548 0.521472571593739 63.3773265007856 138.903215668198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.317524273378371 0.402369050599163 36.3100902153911 76.2729912526485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.27606073139549 14.2864690939185 110270.120599721 835369.795032903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.57409341296756 4.81502838658213 15391.1986780604 67728.2329673057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.44315994548994 2.44209930923846 3086.99003012409 19740.0558590566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.898232452912466 1.45721958478206 835.711433971645 6977.43386453013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 52.9019796703433 11.4486109737974 63776393.4418076 782988.388929881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.09901588385287 5.61426660381518 385706.059921515 155907.376079017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 41.2726440684551 3.39839719228564 69249321.1673332 37964.4182651087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.73218483023571 2.18510469049606 6975.28872050037 11461.9564100721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.55464528175683 5.80060769555874 3527.02107058088 2299.72338328178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.22331062944349 2.49594565142223 924.241842608024 1074.8289466101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.46674123304296 1.59654216021795 580.387730543323 487.772132572341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14689678304279 1.2148339874729 383.61799933124 336.946621589623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 50.7937991121435 80.0748983813242 4051221.39994211 9904826.12503632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 14.8294277944484 22.3155194107955 400256.093981064 669894.016005019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.00950849648122 9.69605029645228 50548.2567233249 93317.3755587822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.1819195301532 4.8962151009008 9258.081677055 21518.8811749841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 255.308665268803 187.669904261214 575764183.395677 142631341.49294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 102.722075024554 46.2135333913645 129837762.035268 4907463.53520329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 17.103920029951 39.1212644301777 614822.618762509 6144579.86342082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 16.4030592933429 21.8664501476542 1288391.98711569 2599715.96868057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.4581703158908 8.29557843289459 6611.65034169567 5502.74166338711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.58785032617454 3.4740617888689 2281.25692678913 973.630250133591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.28558106140932 2.28282227283116 893.800337529738 652.455121810175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.72019622010871 1.76869604966453 468.540439640015 473.580613303082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 54.9694366304877 55.0238350031808 2315190.94547512 2962422.99081347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.3887280288761 20.9712406711934 366457.96450277 539817.414326911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 10.4456242551998 9.5770106872748 190711.725532149 108333.723036014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.459818361297 5.09187294980415 65662.2532798426 16589.3868652826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 160.795002539453 161.545672070959 120779136.146455 51719455.8114941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 31.6915526448114 66.6357815389214 2211748.40861181 21580853.2543103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 24.9927126951848 42.1236997163121 1218838.16737493 11910895.3835738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 17.6602596989551 19.4490000961513 1969965.22499703 903400.578728134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.60949735182609 1.69027905687498 279.754007410051 466.93473136924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.630900840495078 0.700380103604739 127.039538279205 139.710113784433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.401864633853502 0.439973726324329 89.5690438254974 69.2660465575579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.308213944252403 0.337171062835984 55.4279959090188 49.8880180041371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.31364931600077 7.24489531721513 52915.3413658201 64469.8962023726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.14216898883172 2.80763902560002 8512.91052994205 10338.3961568448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.23290957067444 1.47010181531873 2265.6174065915 3950.44118711248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.869984549740085 0.968052635414616 854.080476673311 1832.76131258739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.0309249748317 7.75047267778869 724247.498254069 227425.18316088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.74590717536089 2.97448236799614 217861.596755458 21289.4285881092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.93797022486722 4.48740587073976 24504.9921467313 147807.957171193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.49731893553278 1.55631525740439 7519.55215016921 5823.24333307373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.96836627281678 3.32053300795349 607.309178609748 2609.19542729771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.26449351433083 1.34590867252985 360.790820812812 458.493533964725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.819102598309486 0.878113584091484 240.666904314245 215.968362287638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.627741855826296 0.67899226935545 173.834235732502 139.888876623578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 37.3855034575888 61.961597980342 6319731.21371245 26738050.253065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 10.5109270898278 21.2419744857853 399816.094907809 2469692.76530935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.71020668470309 9.4197635473794 101030.865035671 405820.910018308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.89973710256685 5.2057104509795 33799.6155592508 105439.408950781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 425.904473330389 239.223881601977 7168086363.67105 341946732.669438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 31.7737405545375 87.3217057891299 4656028.05685193 141655296.1836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.2249504419219 10.879632578622 643801.779666763 867557.127317426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 20.3250593989163 9.64075216879238 11179323.7812747 579494.759063071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.73582346644079 5.62708097866223 6739.98749458234 2268.19351696849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.27838960853099 2.3020337422507 685.602116198043 647.388077602765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.46016866774307 1.50134150678973 439.098748783867 394.621105250125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.1325265825594 1.19672024550101 314.220697829044 428.976153211149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 42.4629936258044 34.7032515077009 2293568.11130032 2579865.01836318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.4241038840714 11.8872340485959 151410.315673575 158080.669455295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.51179925081196 6.14243321528906 35905.5802969427 38893.1117449683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.43898927774198 3.67057586439708 12899.9449386907 13005.799771779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 102.197512957661 319.929154465464 58725067.9509285 1621645392.30164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 34.8949275924012 21.1867580793666 4321220.85610066 788248.567979828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 21.6093652049519 17.7298463793234 4753451.40954942 1185429.13164405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.64344938035396 10.0090597735182 64629.5902898018 164064.817510469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.4476077164838 14.8801931997831 10614.1244316545 13975.7197134111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.99745369346595 6.30722249618394 1761.88819390685 1828.22173313233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.96976339450701 4.18308165669906 1601.20944335654 1028.9964366086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.0298479889759 3.25860686487975 972.827859839653 754.473078613639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 67.6283335113831 85.7348993465191 969162.567113291 2067925.78413508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 30.0861271418266 31.8675798550204 245819.479946196 331712.045483304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.5245988118824 17.7159841376148 81628.8352384234 168651.095822124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 10.1757189392043 10.6295999932365 37562.4217590948 55525.9245274802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 279.297383896353 314.089086004784 172368230.047399 224639825.382123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 67.6395246053134 118.309429847844 4431081.28030175 44806274.7662768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 65.0536237211946 107.682120202865 25884454.5193884 102944600.706447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 25.0080743650101 72.8435478541804 497309.434836973 48439948.6912051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.6447310737811 20.8892323007782 10591.0287144851 7991.46236791743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.3434144781185 9.46835229634771 3629.31148004487 2497.30077479569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.32476680318673 6.48818155350593 2006.26151933648 1810.39263402546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.97916904277796 5.10252860966862 1340.34136990675 1366.06003130554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 78.6369955994919 79.5654081489722 601265.132216097 566112.09513649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 38.3402306565186 41.4863809049171 178642.500863693 239820.807425609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.4160282301354 25.482072037871 107415.323392655 133894.047136307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 15.9465048166209 16.7220909989104 63673.9346333825 77418.6269528276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 225.521459031555 490.430287081397 22914217.0920948 656031214.935081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 155.546991665377 127.606319463854 44411031.0454727 24165528.9748319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 99.6062635289281 370.402241282123 19236109.5032108 2677220637.74933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 61.0303771139792 64.3685816668995 5547467.70697523 7737187.81015717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.137638082918922 0.128938100098734 0.806974747494048 0.907757028498852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0408676108751408 0.0346904390122976 0.0659765712443901 0.0572241487241352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.020493836250284 0.0169584095107881 0.0150213709045037 0.0105010081189071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.013589366361678 0.0116015920532269 0.00556211854122208 0.00311463217194519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155097114770103 0.142238094514843 1.26476740473857 1.25761902813136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0645766330454244 0.0541573767129142 0.209323009205232 0.17471667081259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0373028248790206 0.0318294277126372 0.0548622072524676 0.0406661300009277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0286097112588292 0.0255087562773369 0.0233221334474525 0.0140687097424265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10413606297458 0.104506196959924 0.448078563161757 0.549330841614947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0362286997374416 0.0335916082970571 0.0408344815484919 0.0417020065745102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0246021433746555 0.0217589284786411 0.0167484207927837 0.0149756588554549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.01965371609895 0.0170036066754648 0.00809297305743734 0.00675709381786662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.696380994474423 0.718860332230644 140.10526952469 383.357841742146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.248737747387796 0.298131429022145 25.4138652987507 105.045778219843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152332727418085 0.199056660124626 17.0595278372622 63.9097847035223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113967197479083 0.157554910906809 13.4330692151731 49.7540897731574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.25564670767799 3.2135380506113 23927.8895326869 35272.6155886663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.27142809168996 1.10085976695045 4404.66937314984 3826.77085997332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.75454830853617 0.534499416517874 1601.82209914831 989.33974769819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.577965169987641 0.358597448336142 1099.94920578532 411.259801461291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.10255359562581 1.74388180393259 1702.65568185097 5607.61285293449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.13863158131892 0.704066978446337 220050.579977877 1312.82484351188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.534962821184267 0.637490738248942 792.665249738025 1625.8960744985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.391307516661045 0.541172968621916 630.265852922143 1452.11938431962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.21478828904816 1.17230520900707 205.056430566261 155.31732897331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.50310917090986 0.440953500939127 86.5448990201708 44.5756507014256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.324969929550242 0.2786190203795 55.6059250144459 40.3692361464562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.254901974373553 0.224717232603658 48.4562458952594 51.8668736672433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 23.270903135573 17.6317277410523 4292310.26461882 1589931.39300302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.49162217272461 4.55089216903944 229498.441594321 130209.011155242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.41228167012607 3.98509036411008 22743.8814275842 84971.3929605671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.16241641559666 2.87102475008123 3847.14906941492 41498.2346869342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.7502164638004 38.5999679498287 812279.286631057 30204716.933601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 23.9586163361712 10.1430537193576 10290863.6007885 1311026.67991433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.5070414901038 2.55329014880284 3583033.78722645 60418.0970244632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.04703648959796 1.24526344112834 237291.867523547 8831.27403643365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.31161592163009 2.1799585250404 842.400633364601 517.452517462665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03660816822499 0.958740837393759 476.225892758122 276.216797755107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.668584255103669 0.645185379469855 249.665237433709 215.639581673071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.499776188858298 0.506123673341576 166.892466602727 178.158987069827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 109.567918724888 52.6696951293109 78521598.1202211 24948278.6873913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 25.4247382173536 16.4213418428365 3395869.93759106 1496995.02658161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.05280244479551 7.93653902973842 156605.343571968 258524.011640102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.12080440804955 4.81918098303298 38841.2727308711 70601.650839441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 515.771444541155 301.351343111227 4443329772.66203 819934220.904867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 37.7310675357033 31.8816458770612 8081744.10337447 7565971.57931475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.53062819579128 31.5533457248678 108343.610081789 4268518.29326053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.70035578933819 35.4412200866907 32791.1498053169 11099551.6220154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.01278588881108 5.98828172988385 2623.9599708318 2543.06528323447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.7187009995767 2.54641099680203 1980.62896963059 802.778098464898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.92514237564374 1.67368514265122 1794.57939036759 498.360170170023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.52992033640868 1.29544031847896 1398.48128716613 402.176757862946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 125.703826543597 118.694314015635 29381457.9293396 32872669.1028854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 61.9594675198974 37.1363495879292 13976298.5630742 2204534.92498104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 31.0237775526028 15.0209008313692 4565064.28968393 247646.199920199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 19.8665005689319 10.033678980498 1936452.22436965 109239.490743689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 250.212564603167 169.277136568643 230566371.594353 145455147.117152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 67.906315826017 142.725065620651 16796518.1364094 139471988.073916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 34.6031710853171 85.4752886043666 3121394.27785452 90307746.0053582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3198.4075717185 55.7554960358174 328519411331.651 22808389.7434304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.98551795904693 8.52375493808338 3626.07658177575 1830.05353262395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.95407099265392 3.7605351543426 1602.1877788692 957.891782115397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.61050475766824 2.53136023490955 1099.50729859094 826.39578912849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.01977597646269 2.00629257831704 904.118374086978 851.555361163465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 78.0660258449639 95.3965550349635 5655442.05505807 8897867.92459824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 35.3156799500938 43.8260933613782 1332018.10026062 2432567.43827421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.906916775529 28.5741258886158 1048701.82929497 1387781.60049437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 14.5466625066891 18.5136256015812 299794.108495948 586214.138312071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 183.383086903746 183.149413665469 59505705.9275361 107039744.106575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 81.9695804306232 349.250779669734 15525001.1236786 2560360766.97022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 70.1605310812408 41.5225263166256 30717543.7056146 4573394.77510102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 221.874690312086 673.139849512528 766631103.708719 14242836576.6167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.92137149209349 1.83506566043549 503.210488267572 703.013811841284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.739480414918521 0.701232302779073 143.221927628715 175.042732022997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.461027140943017 0.428249762191339 94.8676729089758 107.369925212812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.346700149780869 0.327503003926618 66.4643170158795 85.1571691932757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 32.713048591125 30.9373537499794 12831417.3841222 6559400.3369986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.48423048354434 19.0555628750241 84854.6980720738 2801502.07633295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.63227886853391 11.2706641597416 34376.3011457022 942580.689901242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.96113163914629 6.45153130910347 18233.5585544283 276846.972623491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 108.530256234327 1422.91683513442 226358509.68709 66157319604.744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 25.4892609422519 41.2122650654374 6438028.32774668 43363478.7803094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.57501733096299 7.62125557836643 198153.52938244 1135620.8317568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.60665029279498 19.9163934204693 9702.90736028817 3304145.04230549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.8254355538185 3.25134513993743 3447.81413362299 823.860523751637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.72880050582403 1.32443983875255 1535.47805686762 293.956114109313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.09908872802028 0.867899390850953 470.206065695195 217.621646555221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.838611661106073 0.663423953646 260.07104292332 173.621042756625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 118.800930290395 82.5062475110293 97971009.6508743 28962894.0878694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.63630423611509 47.4689221915607 223758.449507362 12582593.1327299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.9522815890456 27.9628517009949 26756.7995129944 4213534.60652665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.72996141532917 15.2063627650525 12395.137978224 1136845.25623348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 87.3816607003316 461.73555338477 53412525.9320314 1136678535.23819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 30.3601615808458 187.599231070054 6283116.37206084 470011625.293714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 21.701252093699 108.419500618234 4042172.89837636 54971860.8754199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.38983704170181 32.3450370619698 260647.65906167 3843692.8674587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.94824200362429 6.94607198057258 1749.29399212281 23828.7956181608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.944312510453 3.2464375729228 7296.61447850832 17497.9721853064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.12972000136225 2.11574795139868 8432.28008820865 9644.3141370812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.67635076872297 1.53175573950088 5920.63346744986 4113.34121661596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 68.7568559576508 67.1086950252382 10948862.8073266 5767170.95266143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 31.2574692290068 30.736917850054 2590433.23374935 1708849.4575706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.3149086609194 13.8712084963563 639217.84093281 254754.18361973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.75576778453113 8.18791975556885 114403.777952472 81439.7560769571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 187.192280358212 48.2465146657689 153498318.220679 4580242.03508255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 156.00259234489 298.175433149062 406481287.849241 2346233219.61856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 42.311126283754 36.5925582518128 9424903.41233223 4673534.66211056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 12.3917685345911 24.9645015721175 206150.918993517 2815080.8700174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.4494574406474 14.0580196208381 9350.32188588527 3504.41755178824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.92983126530597 6.3694557853952 5211.35497740111 2923.57369705324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.64102232377754 4.42303213129941 3246.0880490922 4486.35310799713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.60783503472287 3.61535433678761 1905.09311032895 5922.38686135672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 93.7523294526315 92.281034661266 2126935.23029822 1896198.19506249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 55.5611584379926 56.4225819447573 1006135.68432821 1015364.11014757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 37.6241304941075 39.4746351625587 675372.456364836 842951.333063203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 26.2097472018222 30.5746225591237 410101.571477297 738353.196358528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 244.017718693805 595.662937815553 48335790.9800291 1998054514.98206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 154.546305762422 130.971261697892 57929402.4286964 25127459.7667161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 232.901977178943 89.932451656409 448863139.289659 11226217.176568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 51.2429624139322 92.880275991943 4689068.0262193 68283933.0805155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.9634706765868 20.8753048220468 10024.3118860781 11798.3797905673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.64171467101103 9.50771515158878 4743.74424005296 6199.74164129216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.526611458786 6.48278521461213 3215.19289072335 5036.96960587842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.09574985793546 5.15640740215298 2304.16666904899 4271.10528562252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 75.4403604707446 81.3068230742409 637531.362487298 705958.658908444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 46.5862925078767 54.1601156724005 428945.387631345 574219.131312406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 34.6239102736363 45.4636669571658 369193.577226586 613080.916074232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 26.0320880879451 37.2345919057385 265013.082205105 527346.994185968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 223.635896234199 290.888107753928 22970421.3551822 107469046.911782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 169.371492218844 144.826901059379 80908621.8135911 28909407.0181951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 110.637991639467 82.4496707533706 26314969.4647279 6912391.61650413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 92.5972655171434 104.568744493044 23365572.6885925 45493267.6710382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.129711538923859 0.11387520495933 0.839105792306933 0.774955093376047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0379523495144253 0.0317419697644981 0.0569903529733438 0.0502844415124657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.018087985525699 0.0151675096398044 0.0111382372805456 0.00987104242544723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0110426324562184 0.00912741981329952 0.0034660793919137 0.00277315361669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.135692004872818 0.123551905300156 1.1116259162634 1.01066294976215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.056098839783937 0.0481457869070005 0.178171875527018 0.163261973936951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0289686680455828 0.0248904856707708 0.0436580566645669 0.0424014647749652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0188671938474804 0.0161141501562346 0.0148308531948937 0.0139633576273389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0846792086001246 0.0875370896252 0.291840966492623 0.486927476724794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0330322242865146 0.030686651951743 0.0483524951930347 0.0412248982856311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0207162064832851 0.0185711721488217 0.0149527925813001 0.0134699844964921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.015219476605566 0.0128986185217613 0.00741038470459808 0.00603284262151086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.60719800782071 0.546600212460678 104.763539011426 32.7489336163859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.207557781154924 0.185258917097072 21.9335649409741 7.62560790506167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109771811808758 0.101438079040548 8.40094736560776 3.76400940288738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.074228520783241 0.0647786461375894 5.05831163716918 2.3148074238534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.2429897927843 0.892777178504391 2393.51267701578 686.974758812065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.571241518813766 0.389546580989695 597.461552132596 206.440117055461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.265946129348032 0.206482312263367 117.255265025659 66.6764125185929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.15602412751626 0.123135330969951 34.2917003166321 27.1863655092749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.500285418326242 0.656869539677752 53.355608491395 356.559385836323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.204716404418133 0.296769713462427 14.3222630629269 137.275733205293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.144412825159296 0.225084227086645 9.69601270566486 205.018887831859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.137522870003292 0.211278532332127 39.0506427316091 245.682210670334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.0424865074764 1.13098752847808 125.00714783503 317.421646405048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.356801870702699 0.444017621675871 17.8589438045656 91.2261857063723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.193828537464236 0.265261193703329 8.55468333855289 47.6212491667326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130259979234773 0.191559693947982 6.17899718169953 34.6706410618734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.31387850428263 4.72622278741515 100380.075250221 112978.320414048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.26066644319077 2.2823730395911 4554.76989787886 38635.771049685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.393677015344813 1.60783505852144 155.008122405122 18087.8674082695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.255029572091576 1.33310941061763 75.7812805046298 12007.6138497342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.59441752342682 3.1501487903106 3667.602575013 68820.0695489858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.62304273223032 1.4173031228947 528.370536704114 16918.0069205563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.844947126943018 1.08268265161243 3853.60206024645 9400.86357889999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.49187364169303 0.563162212337803 1206.34540316939 1648.51421668092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.97341199200253 2.11804329098377 282.043396930027 691.243208437299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.759143873806026 0.923767235271158 86.5513048383701 427.888617288636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.461621147154794 0.629136467570825 61.1624844676059 324.373720765014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.341824781273509 0.48663581617697 52.1272280333617 245.225286473607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 188.577390456046 70.705950497598 472300790.42659 86473190.1208469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 78.1420984212117 8.23759678806559 54493293.9380863 137786.407567471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.8717765941297 4.7393378404821 5356740.5686762 44683.0304746879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.5998058737971 3.67171913312058 1218873.55804553 29665.9181620901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.1743518554871 7482.20379798467 306156.54336576 908626948912.368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 329.265884796703 1.7370121444652 1251694970.84657 5478.62304541729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 211.032951178683 14.132110279195 602088319.390644 4722513.88303123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 343.35026764848 1.14695273196105 2673500175.58575 2114.93972896555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.59876609495011 5.73152156648813 2985.42448774438 3717.74172663844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.30538677106356 2.55740614608585 838.929463442152 1799.96311568813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.46206762839076 1.68389980701206 532.101259626862 1119.7664823903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.08842981630344 1.27145835500436 370.049189299297 878.89780586961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 154.249587886813 89.1872778310578 54833591.5978516 13047296.6530996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 84.9487598720369 52.5368460455526 22774998.6911703 5874004.65101107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 42.8830137343571 31.1813168890788 7502300.71121139 2500060.54039967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 20.3000577607414 17.4986762335192 1880644.08237742 764476.867445363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 641.585589221185 3218.39544854104 8891241457.22388 147744772380.931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 90.9053845583456 23492.5238285896 42918183.5360474 15738274939783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 124.121290943236 36.2239111291294 108579492.59799 6097894.88483931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 33.8736313943146 24.0941779586244 3929542.29702483 2266616.31270509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.21954888702203 7.78831299422161 2970.53592088948 1687.997683455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.53479767753603 3.15099056044181 1139.744709599 495.682543988587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.22678813104647 2.03371600171371 691.299243662466 395.695154642211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.67021470590307 1.57206898169078 523.785605415578 364.543962768907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 78.3132989444468 78.6040964542083 6834593.28496668 5733959.03359768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 49.869643102569 54.5474125466434 4099521.47413015 3949529.37401113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 39.449472958655 30.6902242066222 4406980.6610488 1372913.91680996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 29.6206181136756 19.543889691927 3936237.81707933 744106.321483355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 327.260509276533 458.619836865319 288368898.41898 1569573845.9221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 60.729519608719 57.0022993839023 8846488.08976426 9017056.5644405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 22.4346769835144 175.585767599466 1110635.73428363 351870002.506771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 34.1347480100631 58.6266560176729 4773606.26311767 16069206.4204848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.71607134898995 1.69914136721613 1523.36261560016 1022.26551200125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.610760018737587 0.634768681921516 270.726666182965 276.045195730013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.335125017400257 0.382315989570636 79.3761150136816 127.177797936219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.22835436281879 0.281749318821467 65.6624253592112 66.064798553179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.1568493925684 6.64922253658287 692391.3800982 282257.562295604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.87641503941354 4.32159064299944 6129.8833259895 102223.744342827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.961880755293512 2.43190394172302 2118.33276353828 29281.3908641124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.516763661007773 1.45336940084292 852.554455074806 9665.94478844434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.45272410719845 1.76517154478204 67687.4513309845 1592.14630039617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.04021962293166 0.714672480946448 616478.528675415 203.037830412556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.41270717347679 2.32612773736822 190923.911231004 54861.912665997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.76329612639674 1.42007258841452 31370.5934847038 14993.0420764025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.66583967555372 3.92712868162649 11686.7309596159 11641.8879098397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.70340661249811 1.5647468291444 9362.99210840404 3598.30862955975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.02678998894228 0.954744947031044 3610.11674777468 1846.86730664632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.728702246132505 0.710775157322115 1619.88586273216 1173.64149813773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 81.539998322421 37.1996396285759 31866444.9896059 11138873.6169822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 43.7080033411376 5.88217657068537 7506702.4127211 201752.436403124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.8176682968032 4.13763116419765 2504668.14120832 96446.1442941027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.6410372743808 3.49317997397554 822405.425778811 63538.838775725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.7585853428648 39.6181121917418 13302481.5918216 8997958.39229291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 175.342607667689 61.4161849204586 689399018.13915 31837011.8242072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 35.6468386372847 19.5873418102748 16486945.2770142 6286876.22691426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 60.317742897289 3.24122686787545 49778995.9669939 51101.6543371064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.84197855457593 6.30497246756906 2301.76208847064 25211.5953340109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.35402674308387 3.36013606147237 630.078815477933 44703.8376941631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.42336814502403 2.53277085090803 329.328979680794 44739.3741383645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.07308821445713 2.01598258109391 286.006468193878 31428.7587347869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 106.97567292863 74.497088544348 26470250.260614 13821882.5495131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 57.804769029006 45.172701003956 10691787.5783217 6420892.37967122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.4839527926318 16.9747772254699 1900190.62099173 774599.380846878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 15.2266676691013 9.76510797635861 504985.113069366 223304.26593611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 57176.0137848821 441.432945303465 93312613223947.6 1664889330.8132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 108.62167937116 582.77103577244 144775168.418636 5931881801.18931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 307.983853515155 29.1681210597941 651418461.878071 7213474.65296163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 225.268644032735 53.5717403560658 975372100.90263 15554579.3149893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.9008918249702 14.4610833976703 5907.92983125071 17217.7761074929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.14322604037784 6.19460293336425 2616.97383346263 9025.20762723622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.0480875221232 4.06519292787872 1859.21222352449 6360.75143974588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.09490693240663 3.1134599959415 1524.84322278682 4584.24031639302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 83.1511215353155 61.8852692918817 2439216.67320688 827450.095519618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 49.4775048456198 44.6598493759108 1010166.76244509 858221.887983158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 32.3882429303468 34.2923749439148 617083.666045909 765474.99314561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 21.6917471676877 27.1631872191189 321924.469641733 619412.056402297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 204.639506105298 376.10315436654 76971672.5867133 376473807.205368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 190.498626280936 95.7565469911183 244808494.177265 17320197.4276946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 183.855701617945 88.3133000500078 257544489.234388 20949743.5648624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 56.8656258546865 31.9357997410166 13252162.1218049 1183959.88443844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.4847539783428 20.6341747346714 9252.63188726703 6426.25026527434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.1308791065115 9.0812112635746 3738.45537632542 2755.26975257708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.01854913854746 5.93747810726817 2752.52344150854 2311.97145660777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.6646487202703 4.61723053958759 2364.71152854472 2372.64180542539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 73.311344306906 65.6211081592879 678434.851449015 411084.632449089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 57.6888185256256 46.9797921665058 667786.809141301 420219.970136574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 47.3941113388821 39.5275681633876 640334.62181986 457611.132035025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 37.8098440861602 34.1451438843527 489977.327120346 439457.267998375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 615.10947649552 27444.7650297935 3269471331.50908 20945053783458.7 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 93.35235853076 182.026640596429 6677699.04877586 194459475.246127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 87.9298285450205 85.2964604684991 14472408.5341178 14830937.2519531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 64.0606790161336 58.5676327818448 5569158.48667053 3035644.23017697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.13959756377619 0.138048671989642 1.02101540787283 1.32603481493426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0421080803587924 0.041642745905249 0.0823064335127138 0.106141721165177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0230456738846213 0.0222958897783829 0.0202762114114253 0.022770211216287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.01763582221944 0.0171997490683737 0.00713051536712001 0.0108777821068412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.165472541745329 0.160020760147099 1.9483126481882 1.90361479216096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0698665918574899 0.0684606468949511 0.266485295608662 0.30461697589475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0467036295718226 0.0457826068977231 0.0706559340672179 0.0734739361831321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0424829075966517 0.0417027846650592 0.0276178519751389 0.0332358193881488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124215827405739 0.131256442432582 1.01709471467311 1.3503661151397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0384875577726199 0.0359412951990131 0.0835167020456105 0.0468461909443026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0254296232278299 0.0224654716548143 0.034866307051489 0.0131721292530992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0222081928556231 0.0191680511643486 0.0175995480034903 0.00627807368553183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.558699940541546 0.640416167203571 45.4730585312265 162.120403572649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.20981380142793 0.210664308554707 17.3133307641844 17.1682668769658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.140044314768699 0.132408768180604 27.1841576208679 18.100459556251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113114554446896 0.109899260174988 35.7684743936549 23.2964346813934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.52562359928057 4.0057730588525 843560.988319137 77506.6655108194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.95334535630031 1.41035887169542 3694.02308440455 10329.1568296448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.674119208214616 0.800390886476263 2626.58637850941 2669.87284903122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.433502543826248 0.474024911538405 1025.58104614212 705.6027300655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 36.1742512552434 13.3911211481523 22251158.1927043 4468105.29658101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.531183278412 11.1740269526834 67193.829154954 3299501.89286665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.504873426370848 2.74692775027865 2051.36751174515 70901.0235085498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.906226860749766 1.00523683428784 7142.16854737994 4743.9242542888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06704929237599 0.968504021964516 177.562752623421 82.9736922792946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.391579710784591 0.392594612822828 33.7965736838629 66.8083501461043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.21303280606508 0.265018434442819 13.9138186299438 63.7537778496834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.151453944147751 0.220584141079141 12.6618690344662 53.3314603784079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 18.5692585530272 9.88498741684868 4439490.86019487 807372.103534802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.32968553465862 3.41192660059306 74800.0618376932 92477.4979007196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.57872317653816 1.84450307753062 12917.0836960469 14711.3795866149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.88940716128434 1.03785385711463 4197.71628483289 2821.27819622563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.59905255366619 7.97166958567384 234631.00203777 286863.692195279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.86170593072476 2.63875065774661 404477.901742483 45102.6049348805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.90945551036251 9.5167285846921 95187.193174629 1568969.00697953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.96684575372821 0.407708849878156 277699.601862993 561.75298686496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.43050506269576 2.05774850999383 4473.67035283332 494.949623681725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03792699807528 0.805798564699149 1133.35854779192 169.754058790361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.753563428854028 0.501222623790781 1221.79953407492 111.372376453352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.593931494679835 0.374051411908237 834.457805735163 86.3148061557843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 27.0748602459496 17.0254547535144 2560794.98358975 1084128.31912476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.54702445943811 6.49572120669824 78541.0657433003 87567.87349574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.47175930439996 3.30591790567657 11475.9908864869 21154.193073988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.48744796732875 1.77348687098276 2913.53181846006 5692.51881207708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 72.0185893977803 66.9592999921397 75224732.9810656 55513012.7535312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 120.260131483105 23.1708388478319 184778299.642031 7066938.34330668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 135.672028740693 11.2413982584488 479824340.888633 668312.085058405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.5528469834659 4.91181273724302 4322480.75003609 65822.4539136674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.59397744839172 6.78793326468264 2505.27603839057 25702.253972136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.35503034334868 3.00117111965249 711.297248501404 6123.21668003672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.57285314969337 1.95531822989934 618.494498720149 1904.91588876298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.21883225965567 1.50274739744041 461.387805333692 940.080824183157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 79.9308131385792 76.1135083717849 23926588.9782023 11912267.35887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 21.4197474604833 30.142914721256 1903278.59507603 1658804.07553977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.74125192027474 15.0455581812498 166591.937361916 592891.830635385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.7204076504601 9.5261189800413 53056.8485452199 268810.38527942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1409.4776768617 713.687755238392 56522941334.1741 4565832356.5445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 144.269514241722 96.5845823566924 437887022.105814 30300310.2602881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.3616130355638 60.2960768800579 317320.600186228 16931756.044137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 16.9746182533427 27.6627347686959 785899.429995685 3282903.87678347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.04150050061251 8.73278331641644 2571.32516174024 4802.52647825408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.54849114061448 3.68181859152696 1648.75333559111 1401.90149329301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.33947118191188 2.36809002970976 1253.33959386566 862.805349695969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.82082225475927 1.7934742897237 962.087424237114 599.284770758767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 74.8561854042534 65.4996952384591 3901909.39538089 4064496.57447172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.2784701754635 22.2702221434306 772035.104113905 304732.483664508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.3137115211614 12.3485787267858 261995.860592548 145298.734549853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.83743979047852 7.46053063693876 71813.8662199491 56708.2693816254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 133.744136967571 170.041697431341 69267981.4333265 84340825.4596518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 68.6399153902796 741.904486536636 16044797.050505 13052226864.6644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 48.7901838833279 28.8267228299572 9346815.47868394 1734923.32742534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 29.1234324704691 30.4194927408714 6385786.89546443 4233823.1450947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.62455094978099 1.56535742577364 304.163039883462 255.138213656694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.639887676142587 0.55707844215238 153.086930260176 51.7802924357038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.41213942494403 0.330890100713909 130.856860478391 32.8899581461828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.312962239174059 0.242389230260504 99.562571442476 25.195558441175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.97013577091708 21.4202848117226 428318.972915592 6973050.61264456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07577303704414 3.92065335537322 629.688660024564 53586.3869169931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.591282429178676 1.720854846049 222.128411422664 7560.0611756036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.426437660403246 1.04114306340894 112.259462172704 2392.62175954362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.91418007744048 63.7877151679703 70849.3221507585 63437687.2545712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.22972222414842 15.2037440488258 54781.8659180667 2410749.43944666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.709424889330527 4.64365863577693 2644.27363521956 145893.254496463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.24248612783506 1.29928132589241 29045.2210701714 5466.60385559328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.83332487456031 2.9304815237644 319.925313451222 521.700166522341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12613627527121 1.13920718686479 146.456005494277 159.9677715916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.710444189031113 0.702892932566035 106.681529885403 104.792062264883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.536982095509137 0.533765653919354 93.9486562341061 86.4045157370808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 19.2660043083663 26.9317469687388 1540426.09873912 1892760.35566617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.44759289898166 10.7202138372705 25956.3340191489 210807.741399245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.90977042151503 5.37728944176663 3701.10781338326 46510.8250943551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.15725865302581 2.97386953209077 1060.87199155884 10922.3033285168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 76.1437332489858 54.2238730573782 29319180.8497414 29236846.9036536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.9308088597054 38.9445471204863 470566.84680149 35584568.3332786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.36993109441846 3.62152414210953 58872.6949857944 28515.9951380826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.83859659846811 5.00597813180147 22841.0641001674 115538.126532403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.69800140008294 6.15228780866743 1618.96018751018 12831.3802191475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.40757882572588 2.5801528014199 618.514987120968 1263.03630565361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.65967547181708 1.65993336133667 591.552795285731 796.536845817336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.33228159701391 1.27562440902933 525.509275271807 495.465097036838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 70.3423253507817 70.8835115365444 15511405.549629 7388871.42469377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 23.7408478795094 20.6217862847498 2025469.70569995 722195.272999239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 11.4521903215705 9.95904720420016 396809.950228974 194915.507468829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.6300078314548 5.59176778053678 37749.520247865 55970.0308374729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 224.882133338085 955.881437393915 558195064.059849 22554929367.8258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 305.835288179392 87.7268896396292 2351468029.66902 71946087.681446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 35.2647171112073 35.9830179342332 4052267.51052053 9414583.91922328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 52.9499682434443 11.3000929278392 16231549.4216595 251034.148244975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.3323861948447 14.8455317684069 4173.00226674134 10567.1872666419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.80296752654463 6.73575945062878 1775.11139687949 4765.42507184902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.89095629345822 4.52926810149766 1181.81419940108 3217.10844281842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.07930532877462 3.5332900097554 938.867555861497 2120.49514402719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 65.0821366264547 81.1516712028589 1239282.86200537 1473522.03919376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 35.0800162992849 37.1513760075745 421086.462273862 532500.715999088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.5447136593831 21.028223578076 246314.904731531 354821.097565208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.3898202533804 16.0436439186056 101651.683354846 265204.946908532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 551.232327788222 260.002943844596 4280782038.03782 346867159.780892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 164.501403801671 90.5467355428299 113888308.502065 17553713.2825281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 124.601424122403 382.93087341049 196357091.037061 2293271642.68555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 27.5287502999445 56.0994038279236 569955.82110696 19723174.6358944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.2802441746426 21.19542113506 10228.3288965815 14141.618172673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.373048476989 9.79479773035651 4949.28862190274 6694.60874916825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.45214193617272 6.69523516125012 3319.41526407695 4851.88454045197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.15379578735386 5.32088411576084 2385.82456746329 3384.57334380146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 76.7013365086858 78.3567231607386 578395.642090188 648730.132939026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 42.5304307021194 44.4362271356029 281719.429469617 284775.91858285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.8823342883457 28.4478116091623 120910.825348711 143167.801388412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.0449178795475 20.8042849659157 74806.9385685947 93530.2698929667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 265.657798178787 320.024646533128 89471786.6974954 273655774.90571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 93.1145610546395 133.823511149107 13389101.1626342 67474284.2165487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 177.022836721503 619.981761512695 276516328.023512 11011273872.5395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 57.6543287472142 361.515711327878 8691053.18989987 3220132063.5048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.123475539494528 0.126559348688291 0.800623589610293 0.832570250372496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0380668389520109 0.0388749495625998 0.0584523085164167 0.0621466553784466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0206754604008192 0.0225745595031959 0.0114417853327515 0.014114522554122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0170241351190611 0.0195803428218967 0.00425634708841605 0.00588628860893691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.133094924497077 0.140010869603338 1.18620487299328 1.29625075765833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0580694319338726 0.064792767375027 0.177018131262757 0.212692531741449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0402326240421548 0.0466025606361117 0.0469871783745206 0.0628993619805645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0401141558715759 0.0465483048972414 0.0220553596676968 0.0274224175101011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107777269461193 0.111597416641945 0.623166183254418 0.706949155641919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0315982542617128 0.0332938692237149 0.0395327066125802 0.0543513236493049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0208445190528306 0.0228363833494202 0.0132585281812121 0.0175588114604762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0196801137329358 0.0235002904999547 0.00763001717022212 0.0106428099562975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.06581742805645 0.640007637144197 78289.7074368909 193.550927949056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.986637752720016 0.25803914335363 19050.5576773567 119.926141283495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.762248861073013 0.169501084623394 12066.4048747326 87.0105553331438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.590846095217252 0.131933991595074 7277.40173476277 67.3216676061144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.02663079555234 5.2199788139878 440174.795401593 187187.720800084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.80974553953456 3.55208572746742 76405.2443011185 74170.7532085552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.44036788011113 2.17458267554571 23174.728893939 24416.2006674023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.805082927995967 1.40753639201886 7730.75366658575 9669.37624102395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.18362122172425 5.3871013161344 467205.988695559 313203.014193099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.04397731290272 1.82508145872162 262201.32801496 25905.4095682609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.43579600851944 2.19721507780251 42356.8182453535 74176.104179023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.73114893669506 1.59993000523868 24240.4661054177 42084.0977641343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.987116610227069 1.02390249401156 173.562082730194 169.765607058336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.348318545065512 0.357054084982604 61.7958249044141 28.8216492479874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212025479689488 0.216993759471837 39.4077683686974 22.3197432672997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.159169463605668 0.163209985392559 31.885095114372 20.5522004295622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.55078690333218 1.73703155740495 1096170.22993633 2612.90236154603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.53744816911719 0.604966022055622 300312.82055829 174.738098286412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.84597152123584 0.365430164424579 118886.438736709 93.8072497923325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.02695728901505 0.258674801658772 62939.8212975394 57.5917354680437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.40732602914725 20.1646336442676 518247.8806173 7036595.16397752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.884370772022032 4.43694777049772 3143.78419844603 294951.772398437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.430709707194534 3.56824458539075 344.131254548671 396382.447588512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.555187625023125 1.94510630509596 1648.86374931768 111281.963939161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.88560502460681 2.28847122232834 469.722523002083 6165.48428869067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.731359409772377 1.02956010859025 214.986162332217 3421.93945364523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.45340196366133 0.670517087562393 142.780526560403 1757.82113020157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.329184048646127 0.434414466055358 88.0997281514142 433.338220059757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 29.3177707531039 109.616639597554 12555067.2728934 167233893.204064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 31.7710131143937 35.8753763620719 13528993.5116664 20061112.9305407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 19.5770160705946 14.6995206618794 6719705.86225017 2520547.1940819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.34026154459 8.24487628781711 2915167.42568899 712537.310662803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 691055.219597829 92631.8543068142 1.83662435022802E+16 329012234095846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 68.4738732339651 19630.4706532372 120524188.864132 14696468146525.6 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 201.269842970047 219.468593205323 931042366.730158 1552706114.04294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 27.8942060122554 5.90704047910678 8000843.1834919 1019215.69656155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.34161475530174 6.11488280197141 2234.74511835267 17683.2416338401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.17343558243437 2.62594930644208 569.127525309218 5375.94560699634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.41797705338994 1.84148806031005 461.102463126852 3599.09707733789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.13510761266562 1.5497036864345 510.239671401347 3290.72008303216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 68.3121982623936 81.7994791950899 8808867.33694383 10726259.9711209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 35.4550746412568 76.032786217552 3792464.50061467 17533295.1527896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.6370904452771 41.2020254097109 1075416.74219405 4667160.60819448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 14.0975271138714 21.9825746132015 359708.185106993 1287576.56561357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 158.829822196556 955.285086513302 128543801.214482 19634687127.9515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 65.9561027237566 512.550670603152 15011991.1086423 2722722921.72355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 45.4304723077985 346.036249005882 5420229.14382543 3505984032.76307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 54.3831085702746 48.546575127956 21586081.5443132 13687059.7401097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.9504597875178 7.83948412116701 46726.8550644107 3855.59109653551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.09093189884556 3.50032532372481 23897.5159472737 1719.62262405341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.54225540129865 2.39935341871642 5397.52022186717 1215.84579299903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.85244759546014 1.88604902034834 1368.33084408303 923.89169085453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 94.9510763986067 77.6662627536472 8171221.96629471 7057439.93609337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 55.0122170158867 41.3912831124817 5741022.29125024 3681499.97786964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 37.8241300481813 26.1411689766463 3005083.47257685 2109623.53729303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 34.6987656651728 17.0269509072467 3031134.1407125 1116609.246654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 780.79162615295 205.388132504251 8641829652.58872 53568040.484914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 608.764093670937 120.324347900658 10960946643.551 110476501.89513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 118.371067743313 74.028435130965 123126424.292121 63068705.0869819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 48.9841674059487 86.5460075396515 11834009.8148041 67583739.5742977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.96511943222583 1.60539097971181 5842.70786721771 594.20311024023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.897169231216832 0.628337873138625 3144.66536756324 267.83302210049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.606062882728637 0.386639913342745 2182.51480809045 141.081385044207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.469188598759114 0.282283298901006 1571.22556278016 86.5113637414196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.60006344015124 35.1512276726292 314120.876228066 15835894.308013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.28822442324555 17.2740275134158 119790.208213826 4754604.63889119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.79500057023002 8.56214215159857 85327.6493497702 1122552.08067529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.17921290189513 4.37193432670794 63632.2482584413 246884.347207139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.32629374883223 24.6526750513885 414880.666141381 11314912.2478287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.90909189925835 364.299972885978 22941.1451685531 4588729599.05166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.34801265042741 9.76988080163865 245257.01241296 1962834.00904908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.5300420773461 8.17977810891315 174470.022183662 785540.926099916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.99276118893246 3.91974380214849 15157.5067708063 12220.8833256058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.35515817018237 1.74043694291878 978.24389235282 4184.96653410701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.908192206861968 1.41320960238837 584.287308928189 6428.13815523492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.715081288205472 1.29059948274208 570.37821131562 7932.01470703858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 50.6768818290034 43.6063220551113 21071349.3218209 7687456.390456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 23.8583763570046 25.9704168229815 7080894.88849721 3458202.72342139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.7530092147068 16.3083515576038 5610547.01922545 1506205.92714844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.27850087333244 11.7712125297965 1287161.31300113 871313.402666578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 67.9088599369096 61.1328182053859 27448644.4306604 16294764.553022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.9142275105939 73.7786857372213 3901803.69604828 50035492.3929011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 39.5922036770855 15.7729228485413 20023610.2433784 1268763.70021389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 18.1854069330022 22.6432512938882 4513434.3135242 3871976.63151893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.41059735150441 5.78929449509871 10648.9837262154 3278.9577407733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.82515955479385 2.30856746813554 4289.76927178791 692.592360085962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.83349824244737 1.51738905484502 2427.04755753536 465.867662141158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.41213201875411 1.22759250828123 1910.40389520059 546.409215672184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 54.9536526592788 47.428151549847 5260700.81906133 4259685.70535196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 35.3092140071834 25.1536099180378 6266287.6758121 2384446.28661652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 24.2573428901248 19.4133308008873 4529725.59453885 1440000.48565733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.9820397787499 11.2906208001986 3240709.83187918 384463.395369622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 94.9714523596616 61.7733139706318 46638297.6060395 11646652.7803226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 46.4172457825052 65.2392032200774 13964052.7831541 27945571.2352727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 45.8161183539454 18.5431144803085 15525609.2546066 772938.643765283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.8473163960487 14.1524479355474 851365.532328567 557062.907690962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.0159769571074 14.0129172296163 13235.5548546863 10020.447476284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.60810295262828 6.184924727868 7359.03420168076 3307.67336358054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.55549288129496 4.13589309692119 5496.00783597309 1854.86832670939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.72283708850385 3.23846306987697 4803.22204003309 1359.92258145818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 69.0780680879283 58.7051093434118 1236157.03244851 717808.275325561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 41.4880913720712 33.0294396189979 770317.164490071 391896.742044198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 30.4410659960053 25.8768362480125 697988.581115808 398025.908954575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 24.5427400171978 21.7830562237258 542026.960137512 489933.356521256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 146.800938163321 158.67455363046 24384892.5021391 41132163.0528991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 107.228251246851 53.73524902318 25283424.0022139 3366004.02738794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 96.5655374672001 45.9814819293284 57052332.7058319 6483734.65214413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 35.6950946651513 54.7492272917141 1032611.51747087 30154795.046526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 19.8842134398292 19.1100324472801 13506.8836657943 10782.6315310994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.38880984057355 9.17490607840295 5903.15047039416 7113.43584614357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.62443287263163 6.4637635545677 4943.03804159284 6363.81935818166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.34248211413958 5.21413904975862 4197.00470046481 6009.95961617355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 63.7969158243281 65.5737031969567 496770.291734527 472021.85831139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 39.1748884405582 41.2352954773059 268284.038212074 312201.402294354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 32.1432025025354 31.9405914894082 286458.463270764 317858.401095847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 26.8831353797833 24.9789936790912 255621.392369453 265442.160407844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 228.696741088307 171.348888936291 51483361.0408896 11807886.2242069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 96.7657562426978 72.7877652813969 17956712.8805428 3156365.87425512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 77.7250853044523 104.23278276391 12529392.8421727 48854624.4467052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 80.2580446301366 36.2200211308158 33221381.8345347 745306.100136058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.136944795467253 0.125924833843465 1.86666802976511 1.64636860148471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0421209731312234 0.039116003454666 0.146328948459858 0.159031774638581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0223861430360399 0.0207324150534896 0.0250578885684552 0.0325892589838178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0162253605595573 0.0148336497709272 0.00666865904102731 0.0115361280351224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.165702666314098 0.154403735277367 3.23944828297331 2.98532135602469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.062712672994198 0.0577325744755723 0.35450765278711 0.391659767322246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0426054267437016 0.0388776023482821 0.0959335887512645 0.0973591865324839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0367118706523083 0.0334030039098138 0.030440971170131 0.0437052649532577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.130577706512865 0.128276954877818 1.70581398343644 1.30546787063413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0346563479931082 0.0290272577241946 0.0957095818446352 0.0425926012991261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0226392266439115 0.0175689171731926 0.0393427778095596 0.0123207454464234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0196826232175742 0.015264568195875 0.0238945026858115 0.00660827402411657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.637567591838593 0.518773531402693 130.628134599216 51.0109675813264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.265362019786679 0.20038364664876 51.5378891872877 22.1369326389056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.167468921093191 0.118005492729915 34.9981051024501 11.0796747162045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128548965239061 0.0885220379276662 27.6044289546309 8.11002949626249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.53936005433174 3.58270501569912 20966.4858460532 77922.6449620265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.634882667343049 1.22674188021102 1179.38865626779 7831.6311065321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.370306644280814 0.66925017186716 357.944160797812 1562.69914520795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.2599323554118 0.416487704950691 148.395338577646 666.677289311324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.9122972771689 1.50610337749838 12386.737796793 5927.30283532422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.519263174711298 0.903901150623191 752.960599331082 5362.36872960255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.406439452260638 0.558918386266855 661.536575089965 1526.49410399151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.268894977739211 0.347508966037093 216.364715989816 641.375809453772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14154548098278 1.03827882664598 408.634764132833 183.804376029057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.466637883330607 0.423629713101951 124.455398891467 59.6614297233815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.281199800540686 0.265984531953126 55.7540363018661 40.859439798436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.204420171478005 0.196942607695067 35.7583965885387 32.6743218814427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.3939764754466 4.99709715452791 63201.7005572825 62076.0307816108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.73403222941184 1.15552295446168 16744.4363731706 2897.82998237983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.1924116105284 0.59995272936985 3145.24882378444 747.755240476002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.739703259494207 0.438754762509425 1324.89085220363 355.960710341204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.22560897767923 8.29942396704727 25589.9411768307 397274.649234555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.65025162875833 1.68966056978584 7964.2854446819 14248.767964375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.2943599034153 0.810149427235451 3839.21029971178 3186.53715496172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.781430044308278 0.560836791658192 1367.91624627898 1058.90173517319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.34338254653055 2.33742339162263 1760.64072779973 1997.89301676364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.17682228831984 1.11285631456049 1038.779281913 806.816965698418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.78325923429261 0.817063076009538 565.720637068814 676.084615058711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.542007821188302 0.669315291937806 236.659096284265 511.210929502583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 20.2365047096289 19.2156689716806 1216718.85615684 1329441.34064254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.86475147913657 8.09771588720038 182274.34086232 123341.839125913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.41206780327536 4.2499638759633 15348.859122689 30538.1132559056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.39669611092679 2.57220897271582 4982.18123495183 10021.7883632968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.634912941076 35.3017644274716 9423619.92422512 10851160.2870959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 259.67205558986 5.47428440000591 1766914562.02072 108725.112078983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.5018722695611 376.603103887353 1159801.34620157 4354238541.69849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.1541436886652 6.98972202241788 1425837.57791555 236579.558643223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.32590634344847 4.99919698603803 3000.56188211039 1921.11654634293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.35310922201867 2.27075736763942 1075.23059960993 862.872100314826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.56529681197539 1.47879968688823 737.999238516357 385.619312456565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.24931487951494 1.13088419975092 691.687468378243 311.896526337834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 108.865636196629 117.536987996007 42360685.4550088 23843646.7377391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.4248841021683 43.5022705965208 2676505.52308157 7585770.06050248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.0584902442451 16.8515203300594 1758385.85354584 950428.042950605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.3892225957833 8.9517416483167 507695.92734958 166159.157339932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 438.616465338127 89.4267454571907 1449787334.62367 26517036.7847126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 94.7347832847664 89.6129479242102 74877563.1150228 31283637.6829022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 24.0936861609539 82.7501451522286 1021734.76091289 50233796.6061758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 19.532506147813 44.1230318047158 1553538.58680031 13227600.7184109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.50404826749962 7.4179099207853 2278.56407729747 2304.88209669343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.37008556284316 3.21516501771342 843.904333791858 957.096297176834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.27079979678804 2.06248398331627 582.65731938306 535.291438343973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.76991971077392 1.57102145772848 466.075424420049 429.066284394893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 78.6937056052659 73.4310747172998 9796216.45833679 4214803.23949285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 32.6052294912134 29.5000808267043 1546781.72159461 814320.591575855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 14.9873640799413 15.2289671319608 299234.495448173 221958.835007848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.89577272069283 10.2016579546302 99311.0467817886 115329.084418428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1975.52417249479 167.580367583753 74929124033.4921 188401019.584586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 60.0170495174182 53.7056516136329 7762334.91854663 7826202.67081859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 52.9472998258118 21.6931268010618 10165878.7591413 543208.840470419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 19.8967060656493 78.0819760222015 1300221.12592026 99798844.1482019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.49472769222374 1.36456158364709 311.705030162893 196.766241672293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.565510064895403 0.506630838262386 96.2841363015977 76.0387539381503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.329492418609967 0.313549968326708 59.9432662810024 56.8445331267966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.239754522216554 0.230404201416449 48.061914113222 41.8476551234711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.516580442557 5.71631790955996 1297751.82875355 186395.62873273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.52740054048082 1.7024956802313 7426.50109756074 7602.9580449174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.655455786938541 0.776946750047301 917.308752942599 802.425403789857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.410689822955451 0.5238179537016 316.756461405908 338.486332480356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.5891962557222 96.4792833071017 33211130.1950089 279253964.446718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.65733158207137 44.0325961326598 25343.5614369529 52193357.6099267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.435317995625004 5.65613006347078 120.356836805385 604285.21974878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.40493539136671 3.4962880631561 28191.0616703402 153949.620888154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.61533464277702 2.55776236628039 378.349553873121 465.679062953318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.0208409492319 1.01929552077857 127.261763187886 203.112951500707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.635313930016611 0.623829785463869 140.074896856067 136.364792734215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.475957967135123 0.457763054003376 127.159465325828 106.778336866018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 136.942634458465 63.4900390710985 284248803.656152 100649631.433596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.3723936470394 3.98465691840375 2198031.95606074 77076.2644021534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.26794826364729 1.46410612567321 186682.57564134 1456.11791007326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.99386414539211 0.932498833737162 44473.2364437297 640.26232977896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.5412985075103 372.461461455573 2644526.72654971 2425608575.6198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 34.5602075031254 65.8023516409508 19524888.1314123 102142588.788974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.8454057433512 8.4328955247376 1743677.68809161 700708.554838855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.03813115004245 4.61043350844448 233172.03726219 193976.634816441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.00599873930017 4.73799068675931 1673.20587052858 956.11145621756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.05709405268729 1.98382650046349 552.245337062947 539.188619210955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.28850905962439 1.31515857215244 340.674995753444 498.644008626057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.964763888000748 1.04138935993474 267.053554039588 430.163715750963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 29.3216026042578 34.1829525878762 875926.961409898 2951140.06055941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 10.9835527953467 9.56139661556687 245162.688156837 130224.641030419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.52492919468615 4.58236498243986 75504.6330885037 23603.2253637307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.19684826003174 2.79488731056085 22645.041827478 5948.26348789618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 40.654542787641 169.517264434035 6054967.91450809 291613491.401242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 19.5374250815235 32.4081923745888 1918570.79729148 9419239.36876116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.6918120669208 9.98848887768464 299556.090962224 606999.873840294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.64786989252891 4.73454985450508 40346.7204178768 62243.8195427414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.978271178654 12.9070910783323 17865.1278625261 8436.48667274276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.56414322926377 5.70744404354913 7962.84805314407 2463.32511692279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.56145902068945 3.89771725627845 5838.46672771237 1761.80654255004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.57257823297822 3.09821921801167 4176.60855688578 1572.41450992666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 86.4046596147382 61.9618371210466 2098359.34604388 1013852.2458227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 45.6166171957174 27.5182225771282 744731.314345493 306856.099693222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 29.18461105226 19.0550004443919 474502.657107121 189074.661919526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.5701662482522 13.3374426150988 187508.75508845 113801.855805044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1770.4640583519 865.276952091943 58161345073.3183 12363442007.192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 120.187547563232 220.631183947884 38045700.5423244 133106758.72921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 108.383348855725 81.4940253728347 59569976.4011342 33659000.4953332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 264.294319833359 36.7745716461708 663729792.705221 4316531.93840502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.2754875853501 17.9511055006531 6427.02898796577 5421.02172071011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.44528583408835 8.21317841284896 2719.13324237514 2482.19641122679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.7401562959661 5.44054575520755 1889.2451623849 1652.45371968866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.51002876610316 4.1624039878263 1502.56868968348 1293.1788256482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 67.4221912032295 76.0790761868857 495722.489199346 853397.987084832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 37.7414646633888 41.0095155526219 293040.71453527 312561.287132605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.6086997520905 28.3364913299043 178776.302623359 192076.389940181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.7723076354302 19.5357203004159 120822.718461294 106979.231323665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 285.73425637176 2878.62976048326 112107767.636967 226442157069.399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 133.071069398725 254.932722140179 27095847.1130213 284960709.735557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 372.942686756065 535.303847932651 2450790183.44855 6674002408.64465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 51.9306820342612 282.334380732291 3725804.95796931 1638251821.92917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.144233569031 0.129371514714754 1.10752728133591 1.2066892833227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0463499107105535 0.0399840862377622 0.102794110379446 0.0936971605548993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0296961747089561 0.0257228090641033 0.0216598903036638 0.0197756834152625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0307906949105252 0.0258477808524568 0.0115572607572479 0.00773430756267225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.163526068088082 0.147409710014603 1.85492612303175 1.74074888681308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0801002700935791 0.0687248288824088 0.278786071625901 0.23187405766824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0641286098133701 0.0543609764868073 0.089003254643681 0.054479405171456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0724036221306636 0.0600248310419376 0.0660009593258406 0.0354817669718444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.11555722327854 0.111031571872789 0.680638802740432 0.939456604937088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0400831423602953 0.0351196199918989 0.0510786589514633 0.0397181839907474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0363441737095088 0.0319294634191594 0.0274503779150863 0.0213167801443371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0447789814833877 0.0389724390646877 0.0279192051712715 0.017242657247664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.674343921494273 0.729885152344124 179.952894581177 493.850484358323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.260575338466178 0.282127061873817 41.567354734891 118.775778833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.156172554268559 0.183522617002636 21.1015837655884 53.4266956332756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113738412453692 0.151476311431353 10.0243324367642 34.4954316248574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.48412411405204 8.99503479775916 432995.466036187 1906576.74501504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.95648563541492 1.20150457340705 82931.7886213002 10347.205888573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.981905167050468 0.477031780835165 15359.8078233863 438.399296159361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.330056255906133 0.343186736273954 837.582585463048 197.211565895875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.6133937181474 15.537533589025 7628701.19730801 7563010.99437849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 21.8240386446152 0.916252731546684 19700659.4622207 15227.9545089719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.2592669784656 0.293516780927322 2368204.0415838 189.647910615906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.4928007959653 0.169576497638536 84087.4302011551 19.8975051809507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17270567497667 1.01936774019122 860.637378842076 152.628483404227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.43644043108615 0.356503307572227 88.0305873472034 28.5746958513647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268833430937162 0.210836735275315 69.8773562669547 15.3509734245335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.212692102183347 0.171602789396797 63.2273460178195 29.5999270902506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.22402802652801 12.596439355829 538028.000234532 2119891.82536378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.92096087643234 1.77553266247177 11838.8668714284 29917.7228805439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.992391801964627 0.599571472933585 2915.90341938419 798.011168946399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.656125280773264 0.384140427248658 1080.07088258689 313.985880810484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.92135874132185 3.94942789641245 1340334.75231386 56544.5071910192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.69512532157174 1.9244550918984 114224.07665417 22457.2518980697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.5637677522779 2.55888366169468 804295.9335416 125057.042514132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.13786367030754 0.902491772155426 336212.111269698 3944.76260240895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.97268674712974 2.12178376735975 1058.34434441367 1400.44815395223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.803102669609168 0.857492334652815 316.662006128297 342.205225388642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.530939609201865 0.537073776623636 195.552395258259 202.955160681319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.412954811836005 0.399811602250576 110.118948648243 133.397377368166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 29.9574367203841 55.516360107367 5664279.30113824 44837166.852933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.81832002174502 10.1940085473264 138986.212136138 653507.740807122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.27469636198254 3.86279258551597 16780.4717440165 71845.7014536315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.22982136898245 2.30341285359468 3897.1878058483 23546.2063314301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 352.494240379301 144.108128165219 6067995098.32186 388140750.853709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 74.1327569314972 7.53750597535651 82775965.4177849 209354.128319894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 15.3440392588707 5.35117807865643 2826202.91567869 214442.107234619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.35405212344676 2.09993122704194 562169.317666659 19068.4030855319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.49380881904308 5.40076778567667 13347.1950676598 4808.47224565846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.67008990873119 2.31991110962678 12426.173506248 1366.89854517245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.7390739960122 1.49414090522692 5925.00251177313 850.872703445772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.29334806796461 1.12474732817561 2843.75731435572 658.01699986333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 49.5519917268503 53.4937862635772 4843652.38213239 11056294.6992726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.5776615241896 14.898640593922 348082.092400723 984738.190948629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.77930078823947 8.00535242981301 85465.6677966962 345206.23102335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.76167575744577 4.82818141438658 29950.6096387674 137776.690753942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 114.006979892014 760.160962562302 79938114.6418421 13478709118.7093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.7174399115032 74.2901104491903 4832096.97287132 45890080.2425472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.9228769404311 25.7476510559216 639458.024676479 2902573.83350871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 16.9395924810214 15.3628200363754 2628666.54878772 2371799.74151035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.9018709705754 8.16220046673748 7906.8190729883 5967.71426844215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.56419735437959 3.575000103892 4311.15076481923 2157.80929746233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.30013863797817 2.33943915030547 2262.73129484413 1340.30266616727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.7493832374105 1.80785471060066 1379.10085518639 1079.63455033939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 75.5011634810791 58.6368574899025 12788090.6653003 3205876.28450242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 29.6280723411823 26.9104817620644 1957662.8383981 1422059.88596482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 18.6082963865751 15.6795466431623 1749905.26341962 871560.794538471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.5832813481852 10.0979327556019 717141.559835085 571396.183363345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 150.816669485929 309.199532127544 75509049.8779508 536852555.073141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 330.711230792095 45.7388715801274 4138788396.13939 8595505.90105238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 24.9214058366883 59.8911069993127 1624554.80570611 25174610.5236712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 24.6467744626767 29.1296370966062 3798761.24790675 3601372.25405107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.7687975525656 2.59417955102 761.32652868382 77597.0237008485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.705282494041754 1.19500896977675 214.06326964924 24875.8591105493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.431006971877894 0.540132816378257 128.71383364415 2408.34903797572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.332671529640262 0.355829360692923 102.650806906293 660.527312847236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.89290672973686 7.03617135815218 200148.663087664 222565.760670638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.13373444538881 2.74699506088911 28264.2625026462 45183.3716682517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.71600190537205 1.56041474933142 8091.08458442035 15278.8285098248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.11295520362308 1.05442888917758 3538.88231789807 7026.66908979512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.05309763981025 20.3281798665088 67027.420748481 8206475.02230378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.36544804139471 6.84065006113826 232366.086258018 616231.911121646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.71646813425825 2.76536452997462 19490.551069357 48481.3247627131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.47575817511642 1.89341539494054 20742.9491772674 53230.2597071588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.39966023148847 2.92996381051147 3837.16977318297 1553.32650471382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.44716534458949 1.2932728647628 1205.30291424863 920.693472949493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.969247555288393 0.897978878330769 811.271540482556 610.502711443533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.73694648840411 0.690360374410602 545.0940904468 369.482757985238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 38.0620888705889 43.5662682270976 15477443.6114989 7997847.52366203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 12.2234656234311 11.7104519492089 1238588.74306442 596587.205578252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.02076135170035 5.74961538044004 225383.203858645 133519.772534523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.68292237183897 3.27386480247161 72019.5197991336 39097.5752124773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 219.534902142687 141.743906572388 1459417166.80948 749572741.213016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.6565549999435 22.31665235053 903258.1760042 3941899.17202214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 27.9147601071471 34.0618200389631 8670537.73972404 28325790.3749886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 11.5218818656475 49.1971309239563 1572810.36829928 36375026.680172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.9276690300645 5.60463331256585 6131.8416345087 5547.45371359541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.70911801000578 2.23326066925862 5524.1162644832 934.466580411635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.94532768609621 1.38818822917974 6786.09873526756 500.205935852424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.54612545921913 1.07144465061684 4362.68822136554 354.140385886948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 71.8620687143639 50.6792538039962 9742797.80793627 4564069.42629469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 30.7780673713909 19.146858556907 2453734.43801287 823771.178252863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.168379742747 10.0678044172918 634380.461088989 565214.452234087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.36219783781088 7.89571519534477 291898.123885936 806586.320126503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 236.91331964863 370.906830276396 601666443.861066 2252492182.06664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 270.292503211573 71.5384593336917 3133157957.5178 39669993.0088134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 35.9248829520146 111.283627226274 10004880.5891368 398558766.800681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 94.9874152103532 30.7552749963495 398307716.30656 17767561.890236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.4331897639219 13.0114301227882 9439.21264386219 6118.26477083287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.88103086380627 5.76416925337032 3349.65224634356 3001.12798356592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.74829082201159 3.79784270587665 1676.32746735439 2029.74033552024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.8028177859107 2.92170040169406 1066.7923669985 1502.2603915776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 53.5256184918946 58.3765522351255 872846.12946869 1135920.48996542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 22.4388562917112 28.4364287403294 194435.658535627 370352.204414222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 14.6395538318419 15.4279801044601 127737.817306684 154170.044510884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.79968485144778 10.2018495630979 65926.0342696927 71568.381837276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 140.296619803156 143.370709694434 35055752.8406635 26958231.7243669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 71.3660458586026 130.399436776204 46032008.2161609 168633509.066931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 78.4033749212589 24.4572712306775 59510841.3648363 663968.851884996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 23.0583064960314 119.813320767279 906719.544017462 571620899.797045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.1526105748366 18.7092682818437 13711.6721547707 5349.16643093844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.44156992038249 8.54724292772517 6965.52528117576 2597.0701062451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.47018439252069 5.74666097927919 5431.71477663749 1793.69258395814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.06257871991629 4.48565254390702 4253.34034353803 1422.69513006996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 67.7144290181424 59.4913074664279 666526.277893065 357164.565068109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 37.8085578914994 35.6015930751816 298995.528762533 254776.62050867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 27.9718390115881 23.7265552044456 247210.127157444 170844.50658248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 19.3432156892335 16.9883934551871 152897.611342552 103355.680439075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 376.665227147213 341.188775120668 1175897081.90086 356042131.210754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 98.2739685135756 138.906278916138 16366929.6848766 100279979.758391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 65.0235193049843 153.152440952636 8180325.56969138 469420207.90357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 37.8261070300813 228.989165649726 1228046.09294814 993034182.119739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.118517533664992 0.109749183650178 1.2507896499282 1.42196122277742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0386706200601092 0.034127457284426 0.112579065286304 0.13787608975478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.020854605520101 0.0178482324858486 0.0216649774755978 0.0294513829378169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0155541658784636 0.012323032150046 0.00659909026968823 0.0102789890857278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.14504795022132 0.130214078574489 2.60540582745981 2.65931279772383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0559785117595647 0.0476288200924238 0.341996028157014 0.330768458148876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0395930768411983 0.0296328315351724 0.10756355860833 0.0792325758874849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0349665819109536 0.0248270444350869 0.0363788926528044 0.0321016433837185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123914341491808 0.121657877500501 1.45698528190641 1.66082854357583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0311618445597871 0.0302466247970105 0.0667841347630532 0.0864517871285629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.019895355220065 0.0169618916976936 0.0239340451986259 0.0267053358701515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0186131810573715 0.0142173317172323 0.0146291350871753 0.0126342415295667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.463919352104711 0.537117928990535 56.0311665158298 655.378175322163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178461560317241 0.179723447648217 10.1066135814183 34.9501622807102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109989413419333 0.0985307156248391 6.22238944441889 7.53527821590025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0977986245080119 0.0751965387546039 17.6362338486602 7.35524988959587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.14132452881565 5.77032280342716 3655.59822777895 322289.532010624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.382757811533128 1.76310966956328 422.636282171538 24535.5304838731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.214637737192182 0.962151725358366 107.926470166158 7118.16583335837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.157127866528591 0.425414054304869 80.7862028057174 936.406210984519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.840333934163681 17.2530669129877 993.716124368941 6073210.5284997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.51739352418692 2.65020542205126 1076305.5051034 118397.439947014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.82710930466315 1.82056745818994 102771.513589984 58597.1481088239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.837457487205424 0.7429194470799 16613.7169882557 8239.424056107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.828102189943909 0.742853986617918 83.3596858477573 68.4697741092397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.30809653742861 0.263565991504447 17.5196291592539 12.3628741511692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.183331200693109 0.152581118481571 10.1989048513339 6.2836334401781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.131969313623465 0.104680220688633 7.81515341364096 4.31543448491626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.98351499330712 1.94141917530525 7342.59460818203 7518.41313917859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.650119163148321 0.733622901524107 1062.85440991546 1159.57191550871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.355888787598729 0.392418264675498 371.4926498796 273.748830878666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.249559199871876 0.269521505227265 237.613017978918 189.923296063698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.31883713858559 1.50222672180441 957.874517215028 2785.5359315649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.457388423648989 0.456397680548223 584.263191953867 672.749455646002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.363552842212748 0.33841264234368 668.092756296823 499.016057144054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.317244475049106 0.324611179945069 523.792913344883 545.851736621099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.70315748031776 1.63797410820271 18301.480238147 1088.57155216308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.10642725538069 0.619337387849577 1636.38465911376 98.7979438174776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.758290031712107 0.37381603245794 1010.80804129378 61.5045553701361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.612899136903716 0.267761785334287 854.054484953798 49.289134848839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.4977867892467 8.12555236934498 436537.177066291 156052.351760817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.40949809498989 3.26390318597278 31684.8976355574 41472.6218727552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.95061216754471 1.66238100242648 6534.77250516416 10626.1041537566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.42832252444528 1.07886355616405 3356.21392533394 3908.26855708174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.79215080667941 6.51090779365102 285413.785191201 134337.858808452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.0941222770513 13.5089352162943 69715.2619761945 4797368.2570022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.41880739538336 2.2971396390693 21727.0902747496 15404.2007238148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.27614914190845 1.32876298549024 12462.8571162678 4872.14397784961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.91142783881759 3.97060910434091 1014.20543507872 1803.45836064094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.57349636741534 1.67488342862714 252.480061773108 836.062640410129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.947787300129128 1.09952039696922 135.602118679321 695.480170243254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.658482449670371 0.858794459134248 73.7698744578804 661.931930377349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 28.3967715100988 18.5787709839887 1830459.5197864 1742129.83097443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.46127331217014 4.87716791092674 302497.59580423 28900.1634136232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.831394761389 2.87002716686459 34004.4223283189 8867.33274547095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.08534893346797 2.09164021273504 9325.41804015517 4747.37257481576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 58.8365706449718 27.4404343531427 34633337.5937074 5548968.52468015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 38.0481622613528 31.1428448153716 15534137.8393021 11790310.0316095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.21276346661277 5.92867923539634 84344.7842606543 228788.869760149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.78398577221982 3.28436161137684 106725.391824738 78745.1611081061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.27679929713469 6.45076777242776 2499.15563971633 5225.5864596559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.77597605690645 2.91918023836139 1069.3365711332 3547.72144375435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.83634843074465 1.97936007907454 734.365155808597 2719.63902797729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.4015505201486 1.48348135570912 569.269185134571 1342.4553620275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 57.9766385371633 39.4315606309252 5705923.44003206 1613731.63119709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.6336258657135 22.0319664993378 841183.67127192 892814.033913378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.4150404371305 14.3105036363235 908545.385615009 537350.130410417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 10.4015339915957 7.46397262376308 496476.400550054 81852.6460796093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 380.750348128938 111.595594710674 3095461500.60519 62082648.2436523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 97.8534268148205 65.784139020493 198038935.128944 26294467.0510979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 82.460665968164 20.5428008284748 82318134.1561136 3300698.46295595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 18.7138526520712 12.154834138471 1963176.84681777 359712.321456368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.25409062248408 1.13743336587159 326.548032234955 174.734076735523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.474539932146647 0.465994571117727 76.8516899178511 70.9885736807429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.294364370878259 0.288883640141294 61.8922900550695 46.2258275651253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.224204291450291 0.214415056248815 54.5931006641446 43.2082575604363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.77448335544842 10.9485634734357 337654.59419601 546210.741996964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.01225778775028 3.75513741144896 43865.134664002 89876.0731107332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.6471966846088 2.18816880137081 11933.9199446567 36525.6220990856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.986028543047685 1.82908958179689 3186.6612517262 31123.7776405361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.4345125531171 34.0628013692097 1416560.81826283 26974047.8624829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 74.310512436032 19.3524278653657 205371630.017822 4139999.66982761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.4623915572133 7.68547219166783 103847.652056265 609908.663454378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.38450775375985 2.15567038450007 32034.5965756406 40521.6962479489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.35352687510222 2.49974345558969 1070.71247205654 1916.09186104689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.957504942173127 1.05612122596263 452.001320809928 475.119105457777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.601546869586299 0.702472701575997 340.934467699136 350.254149471622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.452641315846647 0.545252008285708 259.222600636587 255.67006488547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.79890469549 26.7728021539076 738239.409659402 3586795.32016386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.07135623196504 11.0814215680476 44194.8963485864 693099.544833596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.6982658655676 5.57923913274417 7907.83000929353 143122.656065015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.06698991663406 3.43886461947485 2916.70312995783 45810.0107670513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 61.4020862804132 28.1381735245468 44900248.8483986 9846221.55483424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.76772061567472 22.7484610145958 171208.81048373 10174121.6909106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.8502512041864 2645.94658531731 3811453.52154136 274188199506.781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.03972034455983 6.4887035108032 10237.1006473293 321566.394540203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.39240112823849 4.47468401015731 3443.4127459207 3053.06241583809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.93907399216397 2.04920357889949 1776.65093814557 1289.20341770568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.20580786313993 1.35427172252479 792.019093388545 691.377456421725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.882649874315904 1.0561270387761 652.443162955408 552.070957908378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 56.3533824276506 76.1529544507081 7123770.00790334 36368151.4129028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 38.9307234740355 28.6488748637826 6769190.61755825 9987229.53836573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.0096503376571 10.4658203792758 2761102.85593093 595668.742626605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.6987045033523 5.25984078121017 1901991.11346421 66115.2287180176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 456.464554071236 214.378760601576 1277677691.65945 469863957.975897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 131.338587054418 43.7861990967194 220851670.093347 9836095.93050528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 30.9943186883611 43.191925181948 9029650.67913122 16615088.7198892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 65.6453976230693 23.4422466247507 67209761.2280323 4206027.79698581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.6561412788889 10.6023544209415 5629.22252246293 8890.39536647834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.6321615565073 5.07762104179871 1739.71302120206 4735.5915158576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.02109614207196 3.52934598031151 1165.80229141502 3900.14393177797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.25848215348197 2.75781766972495 805.531275453987 2781.23674310336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 50.3559581712586 48.8822974160309 989308.494199758 803249.517209232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 27.8701659805718 29.5252345772677 667990.901247264 549018.637536873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 19.7874288727914 23.7989435224949 514773.98663788 609892.545057288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.2969177315167 20.4721467347066 245113.082395182 658025.515882425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 226.109169374957 130.298457500857 184164623.894533 23841439.671027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 257.094706755604 63.732834360244 948157739.337187 7712271.50001322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 70.1664134383568 121.410587390653 23173356.6744735 328215373.761754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 22.4305365448996 84.9567252620062 399755.402435303 97310116.2954984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.2572902402413 15.7393141453703 4411.55689532062 7501.06751583753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.94358335722928 7.63416559133378 1739.55245823996 6076.1875657278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.67110967754771 5.29331868603248 1431.52420819105 4813.64332910948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.62709384583816 4.23980119603822 1255.11398432022 3998.31828128533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 53.3011776620228 53.4164953871631 466269.176245374 390693.518712912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.7217220041201 31.8273566113535 227638.255505274 250679.688810152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.4849270252871 22.3885734025379 206806.261526602 157663.281167913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.1265507941785 16.5936533654674 145206.710705928 117971.83275496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 257.508136348222 281.269494751316 367158941.334267 197520220.709575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 74.0583432694116 180.413121457148 4242545.34275 556756125.805246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 59.0221505396745 228.038810650207 17056507.375064 1141949724.87793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 60.7100771244587 41.845869490888 15316211.6819305 4841673.81358105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.115715596497286 0.110730884677059 2.23395615339754 2.65249832398206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0372760500686903 0.0357638959194778 0.209638793993118 0.278784799309228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0189826179283843 0.0182383913246524 0.0493479531528091 0.062772286882092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0131517585092043 0.0120299556378658 0.0163909372138875 0.0168045270058426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.136753082540533 0.134419112296126 4.60628906048952 5.16562305360388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0517279525574932 0.049611737222494 0.582862676087775 0.614629835913295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0312097238378385 0.027954954133577 0.160446550802591 0.138709806670051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0259669888268125 0.0223496020306057 0.0576412342921821 0.0436666754714504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124198044336171 0.128835745338478 2.89408910558295 3.61493346373003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0287546852037459 0.0274386323337529 0.121834936003126 0.119069419443025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0191351164683246 0.017065076532137 0.0468284681541326 0.0367256937511749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0165378260167069 0.0143627617319626 0.0229263089747003 0.0161804465293972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.504571809811108 0.512091843653894 109.043529718275 114.86217488131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.21864238788726 0.218876021508388 50.0632063433934 42.0805981440467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143206157004543 0.14386375249423 38.3181270070892 26.8692992989458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.110750899121617 0.110006108165378 33.7448060804179 19.9429997789509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.81171496545793 2.39798259949476 13322.8965851857 15819.5343415005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.444892136843158 0.971571818148739 507.033397610609 2727.08754360613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.242708031544113 0.638773302277483 219.657259843437 1305.05262438342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.167547198759284 0.46939982522636 123.999847683802 792.818393050183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.3231155870585 88.699223369326 7776505.64720998 398562279.577114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.980101494525142 0.23695710642395 4054.31206495055 91.7883493437807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.10699452578912 0.171115847350969 8680.49686202638 64.5777248581852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.295629862666199 0.685319999721325 840.755398054825 3504.80380759183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.978457436515658 1.05357135311202 2202.08286112129 2816.41234129474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.514490210807303 0.366230140485879 1523.1368573037 105.452418657473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.360488019938897 0.231122689660691 830.207090340178 64.5450413740462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.274470631218729 0.168083799001066 529.33486684064 37.4554502528276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 17.9792515592344 14.882949729984 7368237.59188854 2747017.49822921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.18913480042037 2.51155235482506 145550.361823991 54545.3179213902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.76773885256997 0.960383311924563 73441.1357993435 4819.74526657445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.71947339305129 0.603203012204008 30277.9316835212 1597.91797464628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 146.133092626002 21.6062042302166 999122818.459478 12685400.9506223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.87756226163667 9.15995660335726 165602.275504054 1279910.79165414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.43918128104814 7.61122928065202 115696.72164367 1421507.53965385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.31371163755742 1.25157395030914 14503.2429224844 18101.6610628274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.77307275343639 1.61876898765967 1284.61826082414 626.994628504743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.86353422233423 0.757176755293481 817.640177225801 361.876189157882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.574885497991339 0.451326627943461 553.949238771446 156.441049112916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.456698730560852 0.307443969789935 435.392027488078 78.5592376579271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 136.30669064767 102.357508547226 121381391.70941 157501260.549581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 22.7736587954836 49.59883667305 3932559.72036836 78176983.3184723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.35363007566831 20.7139036778168 906235.964417716 9878899.76838271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.1123621651568 7.7979486569241 245038.885938763 936318.855093774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2843.73955309327 445.428935401488 251625042630.144 7870138828.10292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 492.217488428713 52.3923171859356 12009049534.8712 38458480.7565684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.18357108838749 284.652830365545 419808.619078299 1300520375.49391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 45.5213380066041 12.1811221657418 31251094.4954569 1833884.15515892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.10806630658279 4.58284255967829 1648.82632654509 19875.1603614865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.78669771583922 1.83763771710913 587.988528125384 1522.18558444116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.12567317971299 1.06983286396005 347.567276683063 364.131928035994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.879602638477912 0.792356928195154 402.504762802859 245.541547130412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 44.4848769638347 49.1609291839435 6290510.55666987 5811578.88973914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 27.4998665649604 24.5715118666153 6159777.34075674 1904692.41779123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.0568015667964 12.531684610933 2348865.17403611 491504.071421777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.3008815665475 7.68367643539185 265424.60882585 192133.377375857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 100.705213605983 67.6001552281591 101644399.85621 33478014.9414344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 53.2237635122425 24.6453159041031 40173231.900029 5240905.52275471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 198.793526268836 29.2576379676547 1821255761.42395 8388954.01038334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 29.0785061231598 14.8152178257281 19762844.6148467 1011911.35107153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.25381168776665 6.030320826837 2024.26962983138 1871.20663662886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.88027612694181 2.52097713342565 1054.72370697848 579.036998572154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.87981883303242 1.5167285286054 758.769867676457 281.667877712727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.44750549357168 1.09472033655682 605.177681928706 186.079487378399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 58.1460945027504 49.0148848099481 4190353.29647515 2428011.74298802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 27.2629857282049 24.3911269632495 1426673.4157924 822624.083945331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 17.9369195854784 17.2731456969701 670231.855475624 697224.656478842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.5260451369713 13.8047475711363 358600.231072247 661654.971556987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 788.827468036623 266.598565174574 17132723406.8553 736030704.461918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 72.4478893199096 31.3487601540114 26073269.0877391 2721380.68807102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 42.1244585479965 30.7501722191494 9399826.25158763 4157239.05416064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 31.9562874168321 22.4191796640957 4946398.12752293 1543154.22811924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.23625152203387 1.16403027497172 206.414167570586 219.196528664279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.51827506700712 0.441932676718695 107.701640170902 39.4834833845629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.330261103913023 0.271513017527229 74.8760365707757 28.1646044162308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.252734136427427 0.202587505023471 60.2120621178566 24.7803376570473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 47.7836099500775 28.6430174678659 23657620.9980407 7288253.22866847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 16.7769695172381 8.24154930204873 2160929.48273878 471848.968718312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.51723986722497 3.47732173115521 404343.736355149 64654.8284279941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.56101975547186 1.92468529822339 79875.4721473069 16729.8317344591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 92.2854428196789 76.8452852130423 154467171.804264 112171363.483919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 58.1073463291834 72.8925150027328 56340610.7538727 150215972.191986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 16.4269735025989 3.70724704304873 2861158.64326965 175342.032841578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.23477799548214 1.27137579316044 585203.979227955 14477.0929246046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.32322650177043 2.29646159203611 551.695036507242 744.152234272695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.01846739466586 0.93534159713595 417.566399301546 302.370405426982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.642199782849166 0.569963338328474 277.881058521525 241.714037234954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.478703534599547 0.414097282511472 173.079813528291 209.224169354482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.2041147887308 25.196967396714 1479337.56299557 3978566.50083871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.65118956956204 6.23746083225647 20386.6875215597 306752.368462589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.28990608699776 2.62901677411033 11438.2324564998 59851.3305455946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.44104998791394 1.41659137188369 4476.06847604647 10375.3601743117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.4766023619121 65.5015220009978 63872.921046698 122170823.676037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.91573955903482 10.2475442606843 21820.9439855649 1751383.60989312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.36958189730543 10.1549246555209 23907.4905457124 904535.850407804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.72950904186243 3.59517912624878 8306.87283414121 97768.2815560213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.25687874662791 4.30746288128815 2873.75282755381 5765.32094451865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.86224736574003 1.81581787754027 1554.69471383352 2723.99326536428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.13434884201306 1.11366550740434 561.898022440223 1703.94046967799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.837242026532959 0.81459376613207 262.148905487216 1244.10511996566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 51.5612035927038 30.1254382438439 7739333.20367023 2538650.99842106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.2168821007132 15.2005705232906 778526.45777312 1160763.22029071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.96523883173463 6.15595577806708 319754.696842674 150720.379818865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.09809194425535 2.79770159786381 86150.401567612 17280.4632545962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 45.3212738335136 424.712591284901 15379483.9722448 4310557339.7262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 181.907679374208 63.3282709863801 1336156026.29803 35902169.2303128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 23.7117631809358 20.1134562221554 10773850.0428495 2355587.25967839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.47415902275856 10.9226964804967 356851.952159222 1329491.75317086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.2914723478464 10.5325573258628 3216.19836078185 5965.11824089295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.60155802112851 4.68024306066879 1223.62133024697 2251.08641876218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.00344900027725 3.08650953570679 936.091994244974 1952.73552299515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.28898529911229 2.37998440381337 823.011180761419 1703.32438359222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 45.7266641174015 49.6050146649898 702475.99391484 786478.363778983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 26.3779345209405 28.3005919902944 452924.640061846 451073.539366895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 17.0836953585812 19.5587541426165 254856.229978183 268546.373417059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.3206649443905 12.7485079269582 127825.336185843 126560.850536258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 450.658971048545 115.62334345044 4604232082.75219 20800605.8867472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 109.581723663667 88.7164684327641 294356423.841207 65195796.7300117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 29.6743470871214 37.7353236797062 2784156.28404902 3744632.5657907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 16.8424160050333 35.8129810119449 326749.11368362 3520059.50650327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.3478210611601 15.2173129629606 6367.52487811969 3890.87106891257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.11466680924834 6.91982615489679 2697.90807192417 1777.23869846751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.68961801103296 4.53319466402175 1835.05047837606 1322.95784863975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.60900107572147 3.51295210046212 1442.82104162459 1160.54608556791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 51.179464953077 48.5092275883048 372875.712930595 288513.791001421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 30.992780375957 28.8133654886383 249109.487131262 223320.691301428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.7346218216503 21.7695510883717 179955.397449863 172463.89690321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.2609604021816 17.1239250070105 98505.597105302 127457.774886572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 251.343640702816 260.069478552663 238204506.693016 279162445.826997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 101.425212783336 63.3787220344576 46698304.1747481 15397827.9904048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 136.553345631247 55.9378529916127 550328791.130352 7102701.80115496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 68.2030809457549 83.1598246081786 51381773.2554219 135767353.395395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0783245011144012 0.0795184807494632 0.0174290094319908 0.0269257430336935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131670841045637 0.135326726357397 0.0319058504257679 0.0939560665151819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232174847164444 0.233944251802244 0.0699972283068531 0.284977903637319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.345265605095086 0.3417740327072 0.155638688706756 0.599957126553555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.141149902749036 0.152703491679543 0.0618512752305948 0.0843296778062092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.2447631909143 0.255966273056784 0.113853218261179 0.284402878590256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368702174288682 0.375305296030207 0.214619713450687 0.682583517199848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.496008507602072 0.497801779289208 0.408630590877643 1.14211268067449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0789291661185417 0.0800663959728861 0.0175755470650323 0.0324253482446911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193220501836881 0.193434144462586 0.0787580663972228 0.191084336495881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.339808775695786 0.336895706701452 0.172910934978235 0.564435372905671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487633305103298 0.486291400873333 0.281354076846705 1.16883031314732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0792381457826044 0.0801786939878751 0.0177826390772657 0.0274133345040143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131759389449353 0.135445220989826 0.0319174596068576 0.0940590695505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232199989283872 0.233931077558186 0.0700144639538502 0.284970366433354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.345283086402326 0.341770763947027 0.155668676632506 0.599962982394935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.14125394391471 0.152789783390397 0.0618358238947599 0.0848509808081342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.244811178555025 0.255928310922158 0.113866074339775 0.284410816898683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368651256191683 0.375285867030114 0.21457672928559 0.682516798026247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.495944878198267 0.497772344328784 0.408566423844812 1.14203073558131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.079083606296943 0.0803223986538843 0.0176072869189024 0.0326351046137138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193229468477937 0.193429650111698 0.0787517399066151 0.191152722160279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.339804697421258 0.337007750033019 0.172872406459228 0.564739221898887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487659014784615 0.486418948091914 0.281339995642402 1.16917395041635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0814036486053354 0.0819471419005571 0.0185445986391751 0.0283965727521905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131962161254191 0.135668817286749 0.0319773462309104 0.0942456021049863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232237785217817 0.233935053948238 0.0700460533772518 0.284988185680602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.345307512307191 0.341774858401227 0.155707025041802 0.59998552287506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.141568124851935 0.15308433720683 0.0619683511898095 0.0855846342010868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.244867028999168 0.255901430355349 0.113893781377873 0.284438082501449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368611561085276 0.37526960220363 0.214545907355846 0.682458334064605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.495885461481715 0.497756683493654 0.408514486729071 1.14197790969766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.079662751456462 0.0809772394455462 0.0177346549127486 0.0330041837431949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193253909545518 0.193445244446527 0.0787539847474897 0.191249088944762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.339803433618789 0.337125676600482 0.172837656944119 0.565067919711904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487685813120614 0.486552173279344 0.281328235016899 1.16953333636765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.088466432772439 0.0883362460348921 0.021250203298391 0.0317707930055518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13289906496944 0.136458107902122 0.0322585864207414 0.0948825777276488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232425526733992 0.234031394239225 0.0701545574662021 0.285135857115895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.345370156252426 0.341809592474474 0.155808250305655 0.600085465120434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.142991046008931 0.154295311488089 0.0627228668072005 0.0876528091676073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.244995102522244 0.255871047194046 0.113987507372487 0.284536803341875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368560260449591 0.375245448084283 0.21451786902508 0.682361993531545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.495783738736806 0.49773567201327 0.40844656184226 1.14190365859101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0818381350040998 0.0832617809251854 0.0182581043173572 0.0341567477246338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193349298723907 0.193559940798449 0.0787833555509968 0.191540501024544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.339806939288847 0.337377518342422 0.172778982433065 0.565798121345851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487743920694601 0.486824670133821 0.28131107795255 1.17028557702697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.134294677709201 0.131697405605095 0.0469858734223597 0.0596091666249821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140717404167494 0.143286555787475 0.0352795135399041 0.100419538059338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233695455966357 0.235133812410857 0.071110527685296 0.286812435097029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.345848899401383 0.342190437034864 0.156516026013937 0.601055644588624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.156441639742309 0.166462649061152 0.0717769030518851 0.10275801047635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245926780552108 0.256231496326797 0.114845906457876 0.285530735107483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368603699758022 0.375332900834296 0.214777083931592 0.682295113598837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.495549506041575 0.497669246776427 0.408540918955571 1.14176774361777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0989271305529381 0.100098718926004 0.0237354441999117 0.0429337885417037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.194324694676394 0.194859255871763 0.0792186242899063 0.193759373078381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.33993178935294 0.338477715483257 0.172686920169491 0.569419021866052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487985069300267 0.487984657684934 0.281310538056001 1.17377796171135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.192499895185579 0.18762839089451 0.0963178116308083 0.107744515064481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.152628122727105 0.153899843540808 0.0408153665167223 0.109817097454149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23592221849856 0.237497242294103 0.0728439603970498 0.290322692220846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.346761464821165 0.342993218224596 0.157675944965393 0.602960406818043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.177064218057983 0.186909534659558 0.0899743008862444 0.126747598645604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.247370001072766 0.257594799106204 0.116480287384857 0.287544717649555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368961969631654 0.375657521360336 0.215520769219749 0.682675166135797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.495551329911809 0.497677584533031 0.409082991405365 1.14189949264534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.122157009700059 0.12393235518516 0.0346810968815879 0.057343449170695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196068957249841 0.197276595385126 0.0801565859896377 0.197250934166372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.340159451208486 0.33971066983435 0.1727952153853 0.573682510894883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.488204869937245 0.489107093660981 0.281388816234679 1.17754818703882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0859098254592116 0.088518332560623 0.0283898833807567 0.0386746770959425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133044909436234 0.136400687421409 0.0339677597284222 0.0949868327961542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232739858562271 0.233965323958192 0.071156923649778 0.284948658831401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.346033062524779 0.341728695791562 0.157035247927564 0.59974811475187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.142313115798406 0.155981336996929 0.0629970303204193 0.106621285570902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245002771438307 0.256558424579235 0.113902568955556 0.286641923998526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.368820766470795 0.375565969911855 0.21455180616677 0.683034742736004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.496316988325421 0.498060238109003 0.409332085708912 1.14235729967387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0806349537834462 0.0842197601353032 0.0183309279162853 0.0371664586563479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.19303755541123 0.194817900769252 0.078673329476861 0.195918225082794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.339636759712554 0.338917549352035 0.172785133323405 0.574507327431456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487419143407254 0.488205685915326 0.281217905502776 1.17651437231444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.102570481804438 0.10481660460156 0.0930121796447591 0.068924109785351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.136785079425766 0.138899818181465 0.0526881735258995 0.0979863948294842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.235242138693212 0.234372585348836 0.0830264227972093 0.285581463251567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.34798552662398 0.341836077451099 0.166626650284555 0.599816101030569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.147376988711659 0.163377250739248 0.07440426021193 0.216806241076847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.246274525555841 0.256883158150161 0.117791918698056 0.287538206210396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.370815774748897 0.37603825598447 0.221692223437966 0.684271348469317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.497946751167608 0.498226600233927 0.41743105750387 1.14260548561621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.085859081568884 0.091310268274076 0.020881986155368 0.0504378213736555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193425743170342 0.199180298428605 0.0787078110209893 0.238462540235704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.340108190147632 0.34469194248351 0.172892144243037 0.655646983243914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.487844318042967 0.493162948693374 0.281389952741626 1.23636239043198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150996028674578 0.14425345009252 0.572192562731818 0.132180985540899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.153484348532189 0.146232952687433 0.290005289718812 0.107527953715185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.24350871848091 0.235544697761624 0.21090322375493 0.287922682166706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.353544767627192 0.342210152268955 0.239900938191995 0.600573089497487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.165038567037757 0.18704789378428 0.227805564529474 1.02729389992656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.257903743442278 0.258115646545716 0.327127748139425 0.293072614724029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.377334923180655 0.376504449428105 0.310655433912608 0.68564151917406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.501891066285047 0.498272676745578 0.463733863158035 1.14256662274551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.103077306176795 0.126928279047962 0.0387832315796965 0.661082297257945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196888869036836 0.252176344667771 0.0887451083332196 5.34602657011219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.362599933810357 0.400551764948104 1.45020209674907 7.76449186934725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.50493821134514 0.500294344499105 0.854108230286677 1.47639997702162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.336932320541722 0.368049763415198 1.00684596460242 5.58621323009787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.193929966482846 0.2048179397737 0.289372957128289 0.82493558227885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.248604651150322 0.250679580299767 0.156985815124066 0.401131641840487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.354499690668771 0.349185623279675 0.202871136321938 0.65178672062595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.257130988258681 0.32412882776227 0.604545861671046 13.4161940254584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.261052473911529 0.273733775944823 0.253820549008877 0.612526132157919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.377909101007465 0.382747128440067 0.277941280042711 0.769943482801183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.50180599312635 0.502985780538495 0.443539728423597 1.1786203865672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.202498725991708 0.523056008325122 0.692063285866971 214.035654948398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.208176588487565 0.300913546452331 0.147223224754388 13.4723066257756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.439806523996951 0.410269717959614 23.7047884776689 8.78396985416596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.51701591604386 0.513180753242039 2.43446681642077 2.11016710214037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.523791186572156 0.570812970466093 0.887159371146945 7.72615589604335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.246345372492147 0.26156472998625 0.153071279876626 0.719549890158723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.264021113280284 0.26732034908523 0.117373335056066 0.413305840919962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360373830596426 0.355883368629637 0.186637633712006 0.659075776304963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.363326890968133 0.406334305319327 0.49768686171672 5.13544426019896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.271310165045951 0.281896276246254 0.184654382658829 0.460152195970256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.381823635807496 0.384328567111755 0.253765596727506 0.72943740183023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.50466382768426 0.504829625908633 0.436464872715907 1.16590393185593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.539711646145783 0.59865940519654 157.505242281549 115.779149208068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.218910606047908 0.257623396205689 0.111314762137694 2.45218090972606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.346302570274057 0.369041641313162 0.192351990610637 1.24820783878688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.490433735655089 0.501024393663742 0.306998566552601 1.32322046729589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0901010897215507 0.0741227210759413 0.0684452563779174 0.0395343565606076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139111718814585 0.116409373369819 0.105402083564207 0.0455646564141706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1823819079926 0.153698743188141 0.145426805419301 0.0802089682587091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219793786593824 0.186956788113014 0.180536409603174 0.146667993939329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.148195310887527 0.125460825987316 0.159882284458844 0.0962071205232394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.255989507712495 0.225829794765706 0.293544875497776 0.183522366279038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315597227079315 0.264398391142175 0.37752451177778 0.278034475895779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.365045219884022 0.313172443144034 0.448991135977963 0.437686448395947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.1169171590101 0.0917514665726751 0.115697460411683 0.0512858773637318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.72896342628773 0.744246936240197 1665.6330347697 65.0370755990578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.39148814734353 2.47728191115818 52.5768745183581 2145.79121487948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.90037441049587 1.70512204553738 76.4646101726349 50.5024610883395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0918548786001492 0.0758718199009443 0.0690278883533799 0.039964851942727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139441533348819 0.116467856119336 0.10555452505627 0.0454750226738609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.182410222503153 0.153690631098514 0.145263963101632 0.0801641924777717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219806609066946 0.187025993293052 0.180302944919236 0.146734351051345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.14876865340537 0.126062772050475 0.160069353103181 0.09642244176001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.255965186507446 0.225770825998721 0.293238787060435 0.183232495373634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315494821859416 0.264404804330748 0.376889898698503 0.277872514349249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.364973418641375 0.313179764039223 0.448499588947311 0.437577650319634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.117365696030551 0.0924513470463818 0.116052765959738 0.0515137656941508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.68891468151007 0.73515443236744 1556.91187334447 61.1447353787158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.34183480539276 1.95186371343453 38.751580905299 840.645896015983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.99204803205185 1.68418739691464 89.3795107510532 41.3407530780272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0954334787568605 0.0794294917438823 0.070241583836034 0.0408505983358288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139922611652569 0.116760706253829 0.105794005620855 0.045460809003705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.182488635875492 0.15371974952378 0.145138909004634 0.0801482777541956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219825637210534 0.187108933232415 0.180091345286374 0.146820133374048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.150027679213771 0.127370260324111 0.160646123039637 0.0968285772622311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25595513200618 0.225755226938433 0.292960354319711 0.182975249129294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315404431943764 0.264416416311568 0.376279782987448 0.277727259220274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.364902791192966 0.313191602125767 0.448025672220061 0.437479337427416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.118415272089424 0.0937273110303856 0.116716625193928 0.0518374868092599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.64232179722277 0.725088912196972 1434.40229125343 56.8181054181219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.3243677639965 1.71677488230738 35.2255772479934 452.804607770304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.90873050428558 1.7629266125505 60.4550225796503 62.582832871664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105296979682584 0.0895872477760073 0.07406684314822 0.0437922750845033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141406601745503 0.117933525745683 0.106557067016182 0.0456407332410203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.18272551225684 0.153969045989342 0.144979912054142 0.0802272102694618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219885346531046 0.187326049994892 0.179733369820678 0.147054837514123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.153609765726546 0.131079520807353 0.162571582326336 0.0980878400353498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.256001842430943 0.225831734242205 0.292498600925936 0.182550890472753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315242339979913 0.264476991151196 0.375124523714476 0.277499272500743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.364758909463803 0.313243386880896 0.447128167766728 0.437326585850204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.121629543900142 0.0973261612582019 0.118716263451304 0.0527438027211512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.53748010404559 0.703442993908677 1175.1522153674 47.7584658261487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.32590514926955 1.51001729906718 35.1252009078641 202.805944756125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.6525919346091 1.64180858591053 379.906807532694 37.2844414693823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.154661139088211 0.141495087633477 0.103709549823163 0.0686877648142259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.151998391317107 0.12747205263689 0.112641603921631 0.0488614667747207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.185087221959607 0.156776342020876 0.145515596461847 0.0817655096436122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.22055488221229 0.188571569328736 0.17901600303654 0.148544146708873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.17524336772186 0.154387948322232 0.177991282001557 0.108936630887073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.257235245360014 0.227409969726463 0.291723338146657 0.181978421472412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.314591016037914 0.264733178916523 0.370934763579904 0.276876580315481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.36397248420901 0.313361317214225 0.443868879324536 0.43672656228865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140706124275797 0.119510051921281 0.132502928817988 0.0598292922166933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.16251322153993 0.632975705262303 428.593337519122 21.9402415506988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.45014126177649 1.41249651767716 57.9800298687674 69.7145975151878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.91139535660679 1.95937726497432 68.6855601383609 140.137901289818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.210455441774976 0.199257617188617 0.156446826313136 0.113449789117126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.167067154868551 0.140231272973167 0.123070197480213 0.0550486225799925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.189217628577867 0.160655928722389 0.148055749416883 0.0847296528764009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.221898063911914 0.190922293842329 0.179776449606627 0.151501521443608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.202936402878652 0.183005216840402 0.204575905915476 0.127554075396328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.259502512912027 0.230218787859461 0.292888945976086 0.182974606818924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.314547349043421 0.265485843262494 0.368441147411875 0.277497929344656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.364142330692506 0.313689958022074 0.442278407974612 0.437013356620934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.164530863520577 0.146573831182114 0.154244457301261 0.07233603296872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.06717140178099 1.51285371251566 208.40988708633 1002.99243551888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.43637573064567 1.68133481205884 16937.9668779312 233.337595688828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.92681816126128 1.45772395478225 71.3161778691679 22.6361093152066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.100011172111825 0.0845082797723718 0.0707225239864818 0.0412440554278309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140329608227303 0.117729572736742 0.105424186771924 0.0459307063466176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.182519969612297 0.154097669795339 0.144852219506189 0.0804317272458718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219602404676157 0.187192711388527 0.179669374783903 0.146845348629765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.15165242162246 0.129160750524781 0.16124744310924 0.096747777002976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.256234436217062 0.226214128364488 0.293573941385776 0.184158733474546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315792430786141 0.264446121942653 0.377295086577351 0.278658278993974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.365096526555549 0.313051767655395 0.448297943235553 0.438013549179431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119419121364183 0.0963073305115397 0.116799702921006 0.0518765432323704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.776616658334228 0.593661379376734 81.5177863739858 15.3155593836888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.65935692089225 1.18635560692776 209.997177421226 32.263733133071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.95849566184419 8.59494633782345 3563.14511853917 40663.5034037907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11741923032058 0.103563734333116 0.0777460490740958 0.0471169276610293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.143150020527197 0.121327162458588 0.106366531869787 0.047255899453314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.183178695629068 0.155144852014733 0.144576784246874 0.0810583140919967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219633900300954 0.187590006447739 0.17893334757083 0.147175794755596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.158540332993778 0.136906793593793 0.165307036936999 0.099262151030064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.256928202772248 0.227245445699585 0.293811768034202 0.18516373928117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315907156362986 0.26449275412698 0.376910044536195 0.279196211955833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.36492220384213 0.312868333756255 0.447468349080195 0.438263903098383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124967757408558 0.104234810602626 0.119816809660381 0.0535304595767069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.662314004126464 0.611681121919806 28.4818159689959 20.3572366097681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.7145670818445 1.21052632986412 125.505875202224 40.4088220874607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.24436899014209 1.80859209455898 114.476968573432 74.8756614119179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.159171786021014 0.146749653297493 0.104444129221474 0.0694360088566711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.151836447111334 0.130054749910255 0.111072377710924 0.0505718462579832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.185708694560155 0.157588774886038 0.145574566950651 0.083026184055564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.220328547122218 0.188834080668227 0.178721688430755 0.148993381090992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.177309147204422 0.155106001689229 0.180488536061308 0.106629395004846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.259089973583099 0.228255200290731 0.296010737965019 0.186532363536172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.316743039664057 0.265216092176666 0.377496886184941 0.281708758309843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.365085396035648 0.31302347774359 0.446683876152293 0.440184250560739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140661914429583 0.121986877886571 0.130575007032364 0.0589759313673858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.638654689364503 0.864208502670896 16.2612178003856 141.544367522287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.54610945903542 1.25730621378504 68.6341090059175 77.2616534973999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.19406637377612 2.03560055610089 599.662420626021 164.205249074866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.347014301425602 0.339920035221789 0.378574028043401 0.288108420874071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.205260980238415 0.184595554109521 0.158067379093541 0.0879784468300927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204355891243196 0.177823996592769 0.162468178768973 0.101797442714163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.228713398489123 0.197564610690544 0.188672498839894 0.163014086287451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.277554670077544 0.25515938646357 0.322099516736943 0.187582694575428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.273079796047074 0.241138713523383 0.316111418898565 0.202622452012227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.322997490947369 0.269456600352432 0.39002524740699 0.293797486180535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.369005534873236 0.313207733397828 0.455588649540858 0.448983781572395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.226259172815408 0.214917707965152 0.22427874278677 0.117774073379844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.954274990566104 2.26290970120933 99.6704843758015 1945.19257276838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.3324335195942 5.92631588770424 609.154667504133 19166.7776002335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.53670498825983 2.40680396766615 132.636151496392 265.951794375137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.549283700380001 0.542221524516783 0.952574283767926 0.683522825378031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.272127198302312 0.248514660862582 0.249453359438351 0.155730644640349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232715038100813 0.206136830931595 0.201522326969462 0.133972692437599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.245189037962828 0.211791400503912 0.217411767125024 0.186272824021075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.395130449230319 0.366823942548402 0.603979187746765 0.342974924453797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.294701302807096 0.260444769917753 0.357820294343488 0.227912325153434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.33210687104492 0.275586863698649 0.418014070904099 0.309854506299668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.374194869774527 0.315910836416782 0.477750919195267 0.462245554700975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.326618014650163 0.320044832928127 0.409111720687772 0.243706766771383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.626553561022333 0.515677486412496 11.3101995023814 7.99699820792875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.36299482435167 1.30350731487741 57.1437414870269 34.1552099374918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.99047843877596 3.06129636891094 3365.11756782916 468.870905518497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0806180795618436 0.0778995669196146 0.017812570007152 0.0206743038330547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119294935254349 0.119887741710969 0.0249178694608457 0.0634402770186761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.220785102871789 0.216059951932098 0.0686773028889982 0.235138093396869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360226512804633 0.356073788182313 0.176885080044502 0.617859383871905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143404693002234 0.146548702536941 0.0589599786935574 0.0594772633322335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236950498945769 0.242750983466614 0.108568312963017 0.22456312424174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.400247507490495 0.386840162869809 0.255545942244711 0.678139092378924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.555799627856698 0.549034430314298 0.510024594234135 1.29953380903515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0699585912810978 0.0648882950960082 0.0132802425291784 0.0162847719717331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152123673367776 0.158486141779836 0.0518749454994884 0.116952286089845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281598896677154 0.291602457459375 0.146906782261646 0.441817220248768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456287446680939 0.465204288476813 0.299328164155308 1.10647921024588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.08110697806595 0.0782822188254724 0.017939408781674 0.0208333965840217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119359098214711 0.119897981937769 0.0249493434029363 0.0634664418656333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.220782565043039 0.216083045949658 0.0687076174704997 0.235179633794265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360223367961749 0.356083170691219 0.176913002574713 0.617899494122644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143427393393599 0.146745032113734 0.0590008082498324 0.0595477473767665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236979857850601 0.242784028728321 0.108577928506385 0.224631005257442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.400240076183973 0.38687099121685 0.255539173503123 0.678262257401364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.555804882429063 0.549045904764218 0.510044210431624 1.29961650608657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0701675424238382 0.0650468417102688 0.0133538297049261 0.0163327251296483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152100099329496 0.158460734541014 0.0518924557681804 0.116977273636888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281570360541807 0.291597517273904 0.146915429970693 0.441841426441061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456283785754714 0.465237969014743 0.299332155328332 1.10660736021374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0825253412257483 0.0799287379665317 0.0184313496017938 0.0214727628341873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119520667108768 0.120049225427672 0.0250218107771216 0.0635836157842022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.220813947424838 0.216126311043194 0.0687505943832219 0.235249932722471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360228856571919 0.356102077258724 0.17694847656269 0.61795890352366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143695819933966 0.147267203442268 0.0592248634592562 0.0598013498942416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.237017139927034 0.242830545250531 0.108602734442569 0.22471810083299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.400232585351599 0.386902485196541 0.255538143761408 0.678388275609904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.555810912734347 0.549059383895554 0.510069104221666 1.29970381024003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0707684988362105 0.0655892534416698 0.0135325032608661 0.0165047815745303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152099496302887 0.158458862089987 0.0519188815693395 0.117016599444697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281547632156378 0.291603442571658 0.146927321670581 0.441876032688867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456279647220234 0.465274206206692 0.299336843836449 1.10673438985321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0880216620090766 0.0863804236598133 0.0205384562038826 0.0241253954770999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.120190630968617 0.120726896765349 0.025294219214414 0.0640721056151671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.220936409826218 0.216301090217376 0.0688730002275607 0.235499806872163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360259356645849 0.356166157923346 0.177041514614666 0.61813228293821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.145038728415559 0.14895072549747 0.0602463106384756 0.0607766775210699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.237117573159024 0.242963622704998 0.108698469902912 0.224949066689001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.40021838899451 0.386969742293039 0.255553784194517 0.678652406881272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.555826086820272 0.549092089122172 0.510130545233255 1.29989021637767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.073112652587056 0.0676971257850615 0.0142101834981963 0.0172033277149264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152142738894186 0.158531512497612 0.0519958976690551 0.117141054081616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.28152690472123 0.291628443505469 0.146961309075383 0.44195557403451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456274800944083 0.465352450042688 0.299348297734216 1.10698163471731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.129629803918365 0.132509151137272 0.0439894890529268 0.0507188590886709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126399147984187 0.127629177625227 0.0280583710841758 0.0691301294912692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.222255210329491 0.217990407608604 0.0698518846773247 0.23780080646504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360647715617849 0.356714483273104 0.177706744866299 0.619467566929764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.15836498495194 0.162940344976401 0.0715026858632239 0.0707551498284339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.237962155307466 0.244070125611679 0.109727646879143 0.226643899858339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.400332529614514 0.387303097448606 0.255887611374038 0.679880444589563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.55600627290193 0.549314454800065 0.510601739355259 1.30081302614968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0919128058629508 0.0859838178988879 0.0210339650475213 0.024358681679841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.153115868043238 0.159758388214416 0.052652192201006 0.118206153298101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281744922028339 0.291981225831497 0.147236106961797 0.442480762950865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456236211730327 0.465702869914536 0.299395272367445 1.10780007515001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.18562373088128 0.189894173192945 0.0934756366959876 0.100507997393107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138685125657358 0.140296098329968 0.0337693681752812 0.0789209326146715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.224715144489757 0.22100043869549 0.0716185609762502 0.241953387281719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.361463934775315 0.357745475893514 0.178844218119933 0.621831743035466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.180909921918705 0.18527923798547 0.0944650655551354 0.0899919944254092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.239841902049754 0.246057357975325 0.111902730355418 0.229540644295012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.40072882880801 0.387801760664786 0.256670919021043 0.681481758221993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.556341536662246 0.549722641259936 0.511496106456862 1.30212145448339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.117846675830186 0.112138284050109 0.0345567699194902 0.0377922861495984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.155313996316221 0.162095025730483 0.0538867864813338 0.119987185956991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.282316844049715 0.292708911477506 0.147733539493762 0.443276138524105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456184401009543 0.466215087882002 0.299470462072063 1.10854390037096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.085408176055176 0.0833867002456405 0.0197320457271392 0.0230624618985706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119629311225199 0.120473396214103 0.025092443660996 0.0638375252924719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.220765391331238 0.216161614989546 0.0687156689526077 0.235205829053001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360108378985015 0.356081555272664 0.176878389639433 0.61785318405077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143706686087511 0.148019866921406 0.0590507438532742 0.0605369126270784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.23677723462997 0.242835763520876 0.108243232076902 0.224602283626238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.400067523626288 0.386695393301344 0.255278779450328 0.677689559572611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.555852507142139 0.548930983663847 0.509890954419248 1.29920291546835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.071786507766048 0.0669147393490436 0.0139265144925463 0.0171080875439969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.15216645643643 0.158597564477375 0.0519064396207577 0.117047822115544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281763101537196 0.291708461552372 0.146949042276236 0.441989851675114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.45639368551783 0.465303653520221 0.299301844721582 1.10685012258087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0990220150605972 0.0963816519218219 0.0257677880425151 0.0293321354580016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.121123033224165 0.122106686325829 0.0257263887141286 0.0649716877963796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.221017389111301 0.216440125968675 0.0688953759030304 0.235517766026975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360051991774078 0.356134423972217 0.176953251683847 0.617956923878356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.146209584090011 0.151816003763151 0.0609070921627899 0.063041903993112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236684527090356 0.243064685482667 0.108061233564688 0.22480627545967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.399925337359105 0.386602684502198 0.255086408376626 0.677328429148419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.555944885592458 0.548850721243109 0.509829606156238 1.29891999773911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0772008169556584 0.0722856323576948 0.0157151683091499 0.0191358862569291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152406274219833 0.158924056499441 0.0520176560078945 0.11728668717879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281965548638706 0.291881604219025 0.147016285681286 0.442235641272508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456498431074169 0.465398821789053 0.299284340793382 1.10716227642672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.137672541182926 0.13342492539832 0.050151555767421 0.0523442357370219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.127579989958023 0.128523922610405 0.0284359453294654 0.0694873477401327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.22219484292937 0.217505503184213 0.0696646394266202 0.236867978889853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360108173346148 0.35652242070239 0.177345124873925 0.618693023138376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.156661673702224 0.164462985629127 0.0698386205834358 0.0719604748191792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236911481688448 0.243926083220605 0.108170021440371 0.225723274285263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.399807247229914 0.386529654637993 0.25493723207723 0.676813767798788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.556211037330792 0.548733268250646 0.509891400008969 1.29845587118142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0938965483440725 0.0887982671566191 0.022686223942765 0.0263221838044168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.153321587776138 0.160279023281928 0.0524649745092171 0.118226065214424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.282524366348692 0.292371981045308 0.147231185820969 0.442876881139788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.456724280993595 0.465636410039223 0.299260768550554 1.10771848074209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.329535434413038 0.323929101998381 0.328286720478398 0.273731164220428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177606511664802 0.177036264918967 0.0595426449382993 0.111630330412143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233960032887255 0.229717195609771 0.0782192090986756 0.252946953311866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.363610151791232 0.361049198906169 0.182222633383288 0.627688582290906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.243574145453374 0.250874535267398 0.185570828615341 0.157630613462012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.244090555760301 0.252945006928682 0.115316516563408 0.236829506733839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.401179303128235 0.387658110163936 0.257425686354946 0.677344681459349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558195254983508 0.549467228335051 0.512631966822802 1.29922210079503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.188531211138061 0.180282906726634 0.103394488122632 0.0911107091250311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163332648103409 0.171904903272348 0.0577954428380643 0.12670419908042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.286043960470453 0.295582310224834 0.149144293990515 0.446697087943734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.457777220566837 0.467567047862956 0.299265991812137 1.10954918509246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.532504476366852 0.528992522011848 0.925921311825907 0.699035995383039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.241553527914397 0.242142520017943 0.12311947498066 0.189922091287389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.256131448759005 0.252621390629839 0.0956709789072575 0.285982279486811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.371220131044022 0.37016798169555 0.192112850103372 0.646762857745042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.360847655771303 0.367224859672806 0.490361253587816 0.33689017457617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.259466853881 0.270009829354791 0.133429462287426 0.262104821755686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.40623088149856 0.392156793150792 0.265336616822396 0.684959016520079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.561271636672749 0.553167108837801 0.519376120058425 1.30676339786941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.300564478672199 0.284708545857002 0.302207027621219 0.210556405669347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.182414087265116 0.189799497570644 0.0748278330942769 0.141452213922731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.292232008818304 0.302235257959854 0.155504769333977 0.45399932713165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.459449850115378 0.470308867067116 0.303108656935366 1.10966462303154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.019495889776455 0.020021470656677 0.00120840723558647 0.00154593046054021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.022946335112021 0.0230107826687155 0.00137557595859793 0.00195443254287619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0381839609369404 0.0379584977343963 0.0034006298387174 0.0052952106943651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0562884398768768 0.0572786274846123 0.00708642583912269 0.0115374220506313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0312035348583198 0.0326122750821251 0.00352001758946316 0.00347077475912813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0477603017065858 0.0483839202378379 0.00763863925828605 0.00716172731840867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.073343288071501 0.0736854681441616 0.0149055190913636 0.0164863022417902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104596224447787 0.106042186962282 0.0290030209631947 0.0326412075882814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0149908557790325 0.0150526351822539 0.000670074956882593 0.000830936397299443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0312797357878917 0.0318027235972948 0.00241528938287136 0.00387086618977227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.056284132476738 0.0580327718747205 0.0072476538636647 0.011785067893171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0794324726195802 0.0827766306976254 0.0134970729351877 0.0230986287001909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0220066978925637 0.02217023148897 0.00143935541211614 0.00177519392953171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0233467840505455 0.0233493181410992 0.00141327535271585 0.00198777913769207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0382783176073055 0.0380622953630222 0.00341471700397404 0.00530746839542071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0562950673963917 0.0573094847744118 0.00709035779199631 0.0115398207702616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0317903431823093 0.0330724429229242 0.00361105687822065 0.00354770230668993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0478581604426596 0.0483484647716553 0.00766805280302198 0.00715429719734598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0734116464673581 0.0736288302119056 0.0149338951436454 0.0164597025306159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104638660091182 0.105990561726553 0.0290319193727295 0.0326094327417897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0157837220863603 0.0158033211639109 0.000724707149162133 0.000884518148390994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0312975192926188 0.0318622629138236 0.00241872673075765 0.00387760380870442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0562933016971983 0.0580471689983225 0.0072504427102388 0.0117856249615304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0794446634567306 0.0827707216745086 0.0135062546252382 0.0230921208317379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0273794447619443 0.0270506457330217 0.00205620826735676 0.00242853573761309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0242214556628457 0.0241796541536295 0.00150176358317928 0.00208379030376688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0384347099009027 0.0382427406755571 0.00344140678336747 0.00533676290603347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0563250643183006 0.0573602052212321 0.00710001569307536 0.0115493576066709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0332995172174301 0.0344591805066784 0.00386572411830497 0.00378249964716006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.048003606355069 0.048374495010812 0.00771224612533688 0.0071614402767499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0734904382659886 0.0735775936070769 0.0149666120860611 0.0164366815294347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104684203708797 0.105944006020654 0.0290635389778716 0.0325807014821156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0176998838133286 0.0178699300391959 0.000875361810239043 0.00105845437271123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0313548039810603 0.0319645592123788 0.00242808704688607 0.00389158904973873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0563052171080401 0.0580695245160297 0.00725486586133425 0.0117880556919862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0794607117324922 0.0827666173084017 0.013516824099598 0.0230860593672869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0409677047781577 0.0403115133503072 0.00443504565059763 0.00489928486072273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0272427817465727 0.0270497001143173 0.00183568182816302 0.00245740576857016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0389256269193588 0.0388090936391059 0.00353240638727271 0.00544430298264869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.05648228966071 0.0575562011335054 0.00713849550742452 0.0115951228632578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0384908455973321 0.0394468317334867 0.00485998555502177 0.00471165539473358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0484137111248331 0.0486108721471218 0.00784293230139822 0.0072194176338236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736785100449694 0.0734949526267347 0.0150450383913844 0.0164018722019489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104786297350355 0.105867053343106 0.029134793977932 0.0325319713474425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0232662933712855 0.0241379133738467 0.0014571090177926 0.00173998023902567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0316124837294671 0.0323061495044101 0.0024657313958008 0.00394214608321062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0563456119409494 0.0581183344862424 0.00726925303558607 0.0117955445393171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0795021297313518 0.0827600182814081 0.0135419363417586 0.0230744306346863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.104984924792683 0.103655954882555 0.0307588062461344 0.0290616943601765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0467295740973018 0.046173720335105 0.00524254897436824 0.00614501748005467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0440218303380312 0.043860761966819 0.00446071173013492 0.00655400287573168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0582212663696423 0.0592259456718995 0.00753618704453927 0.0120803912780358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0705979209426795 0.0718355316626988 0.0152226564021146 0.014047855522747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0523427918133443 0.0521161135507236 0.00902230870604261 0.00805481412091761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0747440679761414 0.0737642173251879 0.0155224306660725 0.0164624764850429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.105375005539771 0.105772984280173 0.0295426712500553 0.0324613803827106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0528944543813783 0.0555149542538513 0.00777654220192409 0.00839192488681663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0345791718826598 0.0352523589740041 0.00288306666021854 0.00443059104644022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0567323499229096 0.0585005449633626 0.00740212636847935 0.0118804974214121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0797744355103569 0.0827914777577996 0.0136954709697583 0.0230424720161453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.171672939722174 0.169460385079488 0.0863977470588535 0.0737307312798748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0700856475255175 0.0694122241841267 0.0121145529592733 0.0131298997218876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0528130176039477 0.0522985045737034 0.00631767390962418 0.00872265585583032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0612379398850819 0.0619690248309538 0.0082959103054644 0.0130049771380135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.108743257630567 0.110616691791762 0.0367001894305217 0.0319258361440751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0589612828939394 0.0581612578888359 0.0112337143607613 0.0097572301070432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.076374365232914 0.0748404411227403 0.0162796239047808 0.0168235653163391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.106184084747452 0.106001370070872 0.0301416063346163 0.0325856152341881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0849361137130353 0.0894046213395519 0.0210384727228661 0.0209120654985686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0396611462840321 0.0402446071163524 0.0037341496775713 0.00535962725899392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0574432323640018 0.0591493791133661 0.00765723416594434 0.0120485752820176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0801975986709389 0.0829302568465347 0.0139384399940956 0.0230371398121074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0353045521420332 0.0357105585349264 0.00341389999577201 0.00391195977155675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0260132902571858 0.0260322842413214 0.00167343642672037 0.00233308171067512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0386796150656905 0.038515241130233 0.0034634604441774 0.00541146344983441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0563817380155355 0.0573585868666624 0.00711284283838159 0.0115744254233857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0365454429655113 0.0389393650866476 0.00437924441466572 0.00455588631118098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0480794670291334 0.0490734405929314 0.00769179190666343 0.00735436752388983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0734111718673671 0.0739088469647585 0.0149097131952623 0.0165911211584017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104619253729752 0.106218125337545 0.0290340166227755 0.0327336735866318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0213773942936974 0.0213102798118518 0.00117387174879837 0.00141613625883062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.031628669008718 0.0320566493099848 0.00243506815176953 0.00390465959983968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0563458928082002 0.0580309099492325 0.0072555707369867 0.011774259000532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0794381429690868 0.0827587966367458 0.0135190828059644 0.023081083903228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0595129267206456 0.0592827273218044 0.0102758263626122 0.0100628472040807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0324427918751237 0.0325975327138184 0.00256349314646979 0.0033234697480195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0401048889008093 0.0398531059231967 0.00369022147991043 0.00570540683509018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0568086352078548 0.0577144877629238 0.007210494006721 0.0116953148556363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.04746203686514 0.0505505467811229 0.00697650167357231 0.00721999297236816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.048993453192419 0.0503547166494177 0.0079240399777971 0.00770157005951501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.07360540896184 0.0742491039101515 0.0149659079555339 0.0167465015384021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104684647017351 0.106439922595667 0.0290979066452468 0.0328580901304272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0321403694159789 0.0325269892144715 0.00275334746019805 0.00304296443325248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0325299993591364 0.0327552359682228 0.00252849560550346 0.00401583547347046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0564784991422137 0.0580719288805401 0.00728541584203203 0.0117768195275638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0794630832138688 0.0827592364026758 0.0135571388748916 0.0230694726822217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.112122104006867 0.109790342325791 0.0394390707673525 0.0325286857732087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.049096857539882 0.048930972000294 0.00616384942609253 0.00688454449471572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0452172066658498 0.0448884355318261 0.0046428333339103 0.00685083554791135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0585069218874345 0.0590515413389845 0.00761299798551248 0.0121591045636628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0755608248585495 0.0783540659063821 0.0175641080696393 0.0168097247838797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0527895565468246 0.0545051955673855 0.00895651135794311 0.0088622499077764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0742804308751897 0.0753363498844158 0.0152238042147699 0.0172212440984188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104957136040915 0.107013097725167 0.0293282196616336 0.0332000994545192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.056414214222522 0.0581359818804391 0.00930549750986031 0.00915983207959718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0357686935937617 0.0354332074555324 0.00294230085086014 0.00447238882918516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0569391123171368 0.0583440805488065 0.00741220346508707 0.0118313370936255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0795713808952778 0.0828314170892366 0.0136854821827632 0.0230689465663783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327390331024599 0.323589373431795 0.387297844056763 0.244855884649339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126779986416583 0.124768762183103 0.0465193659648907 0.0408771252667494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0788890003642716 0.0779179375345566 0.0152509879636001 0.0177287188901682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0732015725577841 0.0723186395821387 0.0120030661436577 0.0170307963108888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.20613769167294 0.208649806120047 0.143526936769629 0.115885217887109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0791990055147155 0.0823832256103467 0.0202115608526357 0.0200633944813537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0810127672268079 0.0837805839019443 0.0183700276558516 0.0213722478641926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.108435339556137 0.110917541381872 0.031818402244999 0.0358365348370669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.161497304491573 0.168759486837432 0.0876286766879001 0.0696487446267671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0562113809794625 0.0560834885553213 0.00774181265524978 0.00911417062888321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0618305999713552 0.0618374960454409 0.00908525547607768 0.0127712994597026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0814960277545621 0.0846548736558153 0.0153165835374899 0.0239071204253303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.546266698532578 0.542688166337815 1.15640387319897 0.639778799833063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.20618966106478 0.203412097916323 0.130282880805581 0.103764932857339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.118723152619255 0.117057712177232 0.0372143632688954 0.0380245382263426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0949944407370195 0.0929850767382143 0.0217427110467508 0.0266070923069302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.345605487016712 0.353566015375232 0.437990900289375 0.350508754204543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.115107023960043 0.118816509395507 0.0455188154126865 0.0463898851112684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0925123031830187 0.0968493679125088 0.0253201771399664 0.0294952149419027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.115080622635836 0.117014784413869 0.0378376225829117 0.0404730756476071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.275364007487192 0.288320758365999 0.27992534147467 0.193385327775966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0832577254448222 0.0837401322738835 0.0195307216581836 0.0192879944554778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0712081683443867 0.0716941467231999 0.0141681360213669 0.0241679597131899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0893053747124652 0.0886282156139958 0.0299433182194468 0.0264008792749215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0324006134092319 0.0326827103654614 0.0052813854497272 0.005242760804151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0467485198474932 0.0433196946562228 0.0127286305200291 0.00639514895889424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0733113940239692 0.0655925592318645 0.0288022404358539 0.0120605101647606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0941484883471513 0.0876815603575401 0.0445807955381888 0.0176773186472589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0604701480402745 0.058412646085806 0.0205314879697537 0.0162318518258847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0922217741052127 0.083913288165497 0.0493835551359428 0.0261090582125677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.12757060675329 0.1164229459181 0.0849318172059852 0.0431141198608141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150090170743335 0.143996662207597 0.106117983220134 0.051433545431865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0380891544415746 0.0372575858453146 0.00872147437038458 0.00519345971013001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.108541189277302 0.103495544985617 0.0803304981438623 0.0396779630756961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.32756699282134 0.303115991476324 3.44713117019099 1.70381292684356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.447575642709787 0.504842945244817 10.171198193188 23.8903913469646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0342915751780819 0.0352982869011752 0.00545859252431505 0.0055689408299924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0470683675435871 0.0437597353151803 0.0127708916819332 0.00643875627706701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0733662946666617 0.0656646339080196 0.0288154381886478 0.0120763352006851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0941694473205004 0.0877200322145941 0.0445898160833412 0.0176899419784879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0606974798790231 0.0587636645979413 0.0206152683370091 0.0163546501371115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0922501694322393 0.0838948405054729 0.0494200865791367 0.0261222433091682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127589299111221 0.116366392940579 0.0849741037777268 0.0430994924198648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150143405813867 0.143975653021209 0.106194357235132 0.0514540923060652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0386627780079087 0.0380275877069379 0.00878253589785277 0.00531140078080021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.108516583879703 0.103530160780655 0.0802682828174074 0.0396730504553788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.31715853977344 0.295409304298728 2.8227204028434 1.39848840123773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.44465424813171 0.499825192960908 9.83035700587801 23.046297933881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0384035350254226 0.0399373285155116 0.00605336791353878 0.00626432783667156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0479133286374257 0.0447843781597429 0.0129255009911845 0.00653753484166686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0735523611920945 0.0659173449580922 0.0288694895505886 0.0121107478759727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0942169644123394 0.0877861574662414 0.0446106809265327 0.0177084970813827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0618770042607849 0.0600084015314202 0.0209528002762154 0.0166334207908721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0923250613430041 0.0839308601644308 0.0494783331189512 0.026147859146679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127617453543053 0.116314258728717 0.085022049039759 0.0430877457438814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150200650428949 0.143963346803856 0.106272766692167 0.0514774795138292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0401554227789765 0.0397051918777007 0.00901921666432837 0.00551521826997796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.108589755279845 0.1036714607283 0.0802534464307086 0.0396780532518419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.308802697485141 0.289227322736309 2.37903249658141 1.18435995362105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.442569963242002 0.49574150156099 9.54500347834453 22.314522913892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0492781563156835 0.0515626933233526 0.00830024764910681 0.00862279644762497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0505395656321954 0.047759370929716 0.013482572582927 0.0068765782223744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0742332296702577 0.0668493406869885 0.0290801444716696 0.012230479231967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0944314115755629 0.0880529006219408 0.0447005690195194 0.0177667977755485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0661571683712092 0.064463494725497 0.0222597855235303 0.0176176672372118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0926655723129656 0.0841933136732543 0.049675007280405 0.0262390584437796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127696916518466 0.116227169756161 0.0851328619933818 0.0430734376999157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150322941828051 0.143947736459217 0.106433631746729 0.0515301661997547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.044975257190087 0.0444483138637448 0.00992981680812744 0.00615883523211075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.108917482071767 0.104227835532859 0.0803211719733424 0.0397164671161509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296119789814921 0.279870848060302 1.80075073321894 0.909020864941906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.440912638576683 0.490050613254972 9.10913958960329 21.1010313390521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105109321273076 0.107442167415946 0.0314120079200766 0.0305859727288522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0666327272258103 0.0647580162475692 0.0181691682734361 0.010016081710914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0794403586390326 0.0727045080560352 0.0309191735998006 0.0132306557841906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0964664859252873 0.0904882505948749 0.0455729646903835 0.0182624938483667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0936508202542362 0.0914252425808638 0.0340993902730773 0.0261710608829038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0960603870635103 0.0874327761803493 0.0513977756063116 0.0271211276551157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128366090571696 0.116438824156493 0.0857920190598263 0.0431843467698328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150916205614339 0.143926905605073 0.107129478966347 0.0518079737881268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0692983188589202 0.0696779977127669 0.017329556610187 0.0117962985920438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.111914165035754 0.108052470198543 0.0816066837928607 0.0401861547140496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.2699120267789 0.260864246790702 0.938125994578504 0.510005147213792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.483262272965271 0.551838212652756 11.3914616631528 24.7253461796768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.166336558103135 0.167582550594548 0.0778040374103955 0.0721064785055586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0857163865487813 0.0852130869210734 0.0260980840316187 0.0160837260152616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.086796390160567 0.080802379430011 0.0339548270842091 0.0150744127019761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0998892590250875 0.09390779150291 0.047118852174642 0.019114016861331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.126871778839924 0.122540026462001 0.055744294202513 0.0415204865413383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101775202564048 0.0935398965709582 0.0543941988915961 0.0288383162681698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.12962476813442 0.117227328541101 0.086808968945393 0.0435275024371352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151620399731118 0.144115655910691 0.107878326283391 0.0522165441902525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0970157234819262 0.0980164649056077 0.0306830029558975 0.0223069772053731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.116407738982243 0.113254896745261 0.0840657244489146 0.041133976726308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.258813785437858 0.253466220157456 0.686051669213084 0.404893914222264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.450119127036727 0.493876526507023 8.14383021488445 17.8196496611084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0469593871967187 0.0438923455489158 0.00811197203233003 0.00691058736183489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0496072435272787 0.0455020870955332 0.0134624141792912 0.00653266300887851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0740059746550953 0.0659517239971886 0.029082446290163 0.0120532143380977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.094421474529688 0.087738214816876 0.0447116701454059 0.0176772217882918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0650294813273193 0.061896272345811 0.0221514115922924 0.0167413761942281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0923820049206802 0.0839134061189047 0.0494704813982435 0.0259060423238284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127504319345475 0.11627332178626 0.0848345122679264 0.0429435063205354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150098669802326 0.144020090438605 0.106007954552505 0.0514725473200473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0436669743851989 0.0414998577878939 0.00992935528567601 0.00564355947694948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.109202201001071 0.103999528390586 0.080811803042601 0.039917938088241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.358626478481814 0.324754642456819 6.25022631179361 2.98500371350705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.42253684263743 0.990824982953535 974.580691719625 364.855986898979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0692696213743168 0.0638960397712163 0.0149048549383424 0.0121420638920198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0552061756637706 0.0507156767619222 0.0150118087181668 0.00717758369082524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0756942338145232 0.0675879388864052 0.0297056011860178 0.0122214784926078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0951458186317102 0.0882293696682152 0.0450224407751478 0.0177553794829365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0746868748538325 0.0709074051687982 0.0257782323089629 0.0187653024718869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0931199291440515 0.0846123487050595 0.0498052190907161 0.0258791239588764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127538196203037 0.116222932658535 0.0847965424084087 0.0428358434692566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150126268781646 0.144069736993389 0.105912474161292 0.0515529420181801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0532684871409752 0.0497793433271378 0.012523904703273 0.00686132695444187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110593950531431 0.105176869105922 0.0816901929054093 0.0402710231754945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.439214624048675 0.380508269689527 18.7275195649848 8.54944574914093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.469642465572054 0.401768670472406 14.5016481589126 5.68539931582936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.118371474377605 0.109713889933369 0.0402824587857401 0.0327692748126418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0695458788678323 0.0639378698536832 0.0199613168457382 0.00986986304675417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0807164352129314 0.0724519331138443 0.0316831525199149 0.0129941752820714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.097449971310291 0.090208170730284 0.0460305271488896 0.0181323590749976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0992479029482048 0.0940387334234901 0.0379753836982905 0.0266314826376354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0956989616614282 0.0878430985511041 0.0510452978123767 0.0263444691515746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.12805693523749 0.116634768206423 0.0849573162067983 0.0428410277505312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150220423518339 0.14422318615689 0.105756111720619 0.0518355578490132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0757543000262055 0.0690701415527204 0.0211540603162943 0.0114620859251396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.11465946075975 0.108543146737373 0.0842989446211977 0.0413005309888093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.58154706534212 0.669933399904277 60.4862977507072 92.7310528589715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.393536633079397 0.36063801326945 3.32756859417584 1.84458918844829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.326902387024644 0.307590971784464 0.313739431416573 0.240021424704121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140841252154544 0.13017257102233 0.0628737500551117 0.0399431828324458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109413669256109 0.100168645090365 0.0466297766785877 0.0217312760862908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.111449042296303 0.103667833635766 0.0532319780295459 0.0222799398047481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.217614880811914 0.205269852587031 0.155172719411889 0.10772295213258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.118153702469841 0.111118355000274 0.0635558372140911 0.0344779468254561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.133733520252543 0.123854125364438 0.0878519392652282 0.0458390480726168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.15260206268885 0.147714353621344 0.106306123440375 0.0550003452882229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.178652390840543 0.161005999615137 0.103896259990745 0.0597679155659963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.136620588853928 0.128961850236648 0.102461622547129 0.0502416227158816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.473298081706395 0.455320041588676 36.4808995566712 23.2129839860728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.426157900530151 0.375838253685945 4.4037846508153 2.96899266297232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.536261008132552 0.510086876712621 0.889541717235055 0.621967345327457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.218453788326975 0.204045324372938 0.142626077145988 0.101051004786193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.145078120205611 0.133526680409732 0.0720061677225316 0.0397363800927222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129566057828173 0.12170974835582 0.0648262509029777 0.0308635462392642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.347324491314409 0.333351342907185 0.402073935961725 0.273639794289642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.147427567552141 0.142299174945225 0.0863330751603928 0.0534715353943277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.14407061413915 0.13588051035903 0.0946771647646821 0.0536574160957745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.157708632374957 0.153997368538978 0.109271193815059 0.0612924225988044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.288612870786122 0.262315387756012 0.274718749955186 0.157772407975934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.165145169822873 0.157784351922432 0.136827304817586 0.0710393375940921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.284129554043844 0.290228268553435 0.6653890743205 0.573244881835569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.485708197379971 0.543081133056545 7.22176733754785 14.1141632843234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.007962962346268 0.00852635309883949 0.000189859201718398 0.000267606242179884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00654699762087275 0.0066955815844412 7.46061945918763E-05 0.000159872239046024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00886016727225708 0.00914408820388819 0.000106923551044057 0.000338187182424562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0127464332324524 0.0127678346560799 0.000205544629376883 0.000682324677136715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0104517106135297 0.01024188442493 0.000347234329730386 0.000339656951354555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0127722538126255 0.0119375683654568 0.000373152117784354 0.000451806122162466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0165602974544147 0.0161018851808727 0.000534475457514291 0.000911898726662919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0223641067768701 0.0211548941881857 0.000953034375150696 0.00157802429087556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00525921217451751 0.00521773145804991 6.02484760609055E-05 9.0554445731227E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00734818329941212 0.00722201738323502 6.45481212647053E-05 0.000239938720303418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0144747428916484 0.0139766285259074 0.000230721197405204 0.00088438718311916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218231198148157 0.021075271587319 0.00050194178530507 0.00197274234115255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0108886589710997 0.0116957709941703 0.000352439014995244 0.000474885508347652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00721137250058736 0.00744569301564537 9.63400329673893E-05 0.000193594049696454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00908439152782798 0.00934789567711356 0.00011446537452541 0.000349729118272929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0128352567947045 0.0128169282340358 0.00021012918453956 0.000686696541632166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.011361831554141 0.0115015149388951 0.000402623111280436 0.000430579197263376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.012758887268295 0.0119857260472805 0.000374862265261671 0.000456575428411939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0165830920859306 0.0160881357270792 0.000536061814489319 0.000910910179105563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0223838541803475 0.0211220005336473 0.000955293196101899 0.00157493076001782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00699450340645356 0.00688102247797554 0.000119055639922036 0.000155440383564279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00751056180733392 0.00737716556727909 6.87721178018579E-05 0.000247425041009635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0145049537066859 0.0139885174728591 0.000233795987423165 0.00088509654603416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218318929065076 0.0210755567511683 0.000504003746159709 0.00197178799886531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0177763635431188 0.0186885756436801 0.000897378508785012 0.00109402538289999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00908565568137197 0.00936903657491895 0.0001668052222462 0.000292342159957339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00968392206783739 0.00989490768941181 0.000134705407134646 0.000382567964255117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0130373613957099 0.0129812682776536 0.000219799678777898 0.000700360389579305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0142924542686949 0.0148127696302539 0.000626742451762173 0.000685463621483587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0128868967590232 0.01226504703024 0.000390259385621754 0.000478168825236879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0166350931795224 0.0161067533043827 0.000541068056457579 0.000913832358330698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0224183040358628 0.0211096200034608 0.000959304422394307 0.00157408687051263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0107926048631054 0.0103220131720962 0.000297003160141507 0.000333097702624804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00789807895921214 0.00776804403547427 7.80195334752912E-05 0.000265414464226821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0145795241158782 0.0140368241754234 0.000238218462791902 0.000888626251089018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218437556855245 0.0210773439779236 0.00050652172109035 0.00197110829745185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0334541661913833 0.0345292434386833 0.00322622385124585 0.00341343748397977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0142848421839444 0.0147923285550369 0.000466904921432313 0.000670843277880921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0117361099577243 0.0118084760725981 0.000216955850430231 0.0005094700208911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0137830164510764 0.013642362815151 0.000255164752649089 0.000755470544143413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0231150398748422 0.0238905072430301 0.00160777619589594 0.00165583036790205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0138510742694411 0.0134765460051431 0.000469252647369537 0.000571499870255759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0168434884427597 0.016313936784648 0.000561929468503194 0.000934601896054538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.022517321655369 0.021141818549249 0.000972258853526547 0.00157880634305823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0195080543177096 0.0183654565009375 0.00104469386829062 0.00097119922205144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00913078211987813 0.00893640336088137 0.000112690041478215 0.000325474223241727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148230185484107 0.0142223642140119 0.000250981087427327 0.000903064900397106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218801133485973 0.0210924976480105 0.000512930750775456 0.00197125877620376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.100339525989303 0.101531750957787 0.0318036945530876 0.0252635996201433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0392889368228282 0.0403587503613262 0.00407877687394418 0.004342366111067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0233035577953452 0.0236563465021799 0.00116518668883491 0.00170603266650322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0195602955433651 0.0192287302291765 0.000632864195532641 0.00130431794472713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0654076073440359 0.0659689534726268 0.0133496810824885 0.0111388709217248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.022908252090055 0.022479120388731 0.00143613501614139 0.00152167894870721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0195446956892685 0.0186805997376635 0.000815885379926517 0.00118466455257532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0234476992834254 0.0219249884900829 0.00109720973998563 0.00167693615742798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0576124202131223 0.0534410685997257 0.0106020868625375 0.00692430062342537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0163228788159888 0.0161509983631112 0.000502246679966564 0.000840413712284742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0166079223129296 0.0158454588895611 0.000355230177942806 0.00104300147696394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0221789251607974 0.0213814968369582 0.000556739832203264 0.00199839824876774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.168692608711752 0.168861761590082 0.0954363195495838 0.0648229349506912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0653875908778479 0.0666358430977656 0.0119248799971557 0.0111804998431247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0368399517138968 0.0374926085613955 0.00324818791968971 0.00391509460148146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0271034741067588 0.027092814400133 0.00143078730580422 0.00232294505729147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.108828492227649 0.109990702498598 0.038850841383689 0.0292727647761585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0347255471158922 0.0339521109877866 0.00351641704428946 0.00334469918678851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0240138097624757 0.0226648178039926 0.00136321692649544 0.00167016271116839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0255127504198662 0.0235022914714704 0.00136245752745769 0.00188814780407865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0960868530518622 0.0900347673052245 0.0317445450994053 0.0182091321704816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0249324741359221 0.0246274720747158 0.00136917106003266 0.00172839742755855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0192507455535622 0.0184679448031909 0.000553280858286816 0.00129779491498654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228299814463081 0.0219589445355923 0.000631492802225386 0.0020626931150385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0274258556087328 0.0277514383548404 0.00219661799409664 0.00221496911249384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.012322680503715 0.0122478724999529 0.000342984749839106 0.000471435001207834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0108161418315228 0.0109049559561987 0.000177441354613493 0.000439871127619904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0134425831802155 0.0133700922237254 0.000235379712538695 0.000724375713783267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0190723861075031 0.0194824270012449 0.00112890767509359 0.0010682840798547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0135140134761308 0.0127699740541682 0.000437964710728562 0.000504112011379949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0166231793547069 0.0161283137465443 0.000542895067379589 0.000905016601910441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0223589861034927 0.0210642590759 0.00095359291307599 0.00156225987808206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0151898952413036 0.0146394802136848 0.000579282870405703 0.000615582054824523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00854960747929201 0.00824603842294241 9.21024684409209E-05 0.000285047311005602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0145607351740778 0.014032950245413 0.000237303294432181 0.000883685254291758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021665375192155 0.0210076389801645 0.000502130325635237 0.00195726481968361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0528747960101782 0.0533502589397549 0.00869931597418513 0.00778591192335083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0214715040035145 0.0215163540503912 0.00120368724063791 0.00136303858118081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0147717677852012 0.0146566747782689 0.000404693114690241 0.000728573276482985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0151582400736615 0.01501188219872 0.000326908476913081 0.000858626084394267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0342122153449956 0.0344656962285439 0.00360994996944688 0.00326345813171643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.015985570626111 0.0152945396624215 0.000657831062086406 0.000708515341591769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0171513414619694 0.0165528675695379 0.000589186378732981 0.000939876417183677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0225188017942454 0.0211410618251984 0.000972327718637417 0.00156625316385255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0291696514154206 0.0280041760557393 0.00235330037404479 0.00211028213576772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0110458635331095 0.0105243418220136 0.000181002929486887 0.000413085228281448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149657685460057 0.01433252746698 0.00025775049065258 0.000904116763827318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0215720859723879 0.0209965352803007 0.000507682514639745 0.00194843188896487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.104750243568225 0.105843103875586 0.0368844794719239 0.0284518038501866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0413206027436473 0.0415593111973276 0.00485724663449577 0.00476530638747614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0244083871381485 0.0240875801928979 0.00138000785177038 0.00179423126517956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0202017650141018 0.0196039874159103 0.000712729096779885 0.00133883212208899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0660599609272051 0.0668078449558986 0.0140336841126368 0.0116041471675376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0235686216415464 0.0230275048432838 0.00157458685863662 0.00155730464631353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0194669553940873 0.018608421808307 0.000799151756109255 0.0011418644525812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0235104909004623 0.0216741160988473 0.00107034055231675 0.00162689318033822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0575692677802959 0.0561580382655308 0.00995013278851693 0.00777889557510383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0171981864897761 0.0163260441893507 0.000573461511556414 0.000868227205388961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0164926145867443 0.0156955069062836 0.000343641466685562 0.00101149655606986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0216388828168581 0.0211367925520671 0.000535726493351324 0.00195042627794576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.31833453467506 0.320118187592538 0.386173282200728 0.220839538379412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122089761433502 0.123154451734377 0.0476160134480041 0.0373145000028797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0670698301371687 0.0671027710341539 0.0128362974409883 0.0120164591044683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0458513793404829 0.0450732057616273 0.00523401025898885 0.00591070831751626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.198006124013301 0.20560523452479 0.144462538972194 0.0936195277763079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0610108185062603 0.0621509806295807 0.0123215779138631 0.0107481606636594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0341457638802481 0.034096446484106 0.00319958882488731 0.00357503839234957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0313788556001518 0.0282050362093163 0.00218809630250999 0.00260819250500926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.174476913825374 0.177998769443747 0.105847906278973 0.0642510151925901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0456116379637497 0.0442765201448843 0.00569329459383027 0.00510111963988107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0265436471890033 0.0249253302976537 0.00144147406135729 0.00203158500683948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0246411714016701 0.0236214322424028 0.000906754549496637 0.00221223421892706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.538288368571814 0.534937181198528 1.16163639191537 0.570361786538838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.202778494619958 0.204817823209201 0.139281064532157 0.0958954531294857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.110434554722127 0.110929510657035 0.0369424052998473 0.0306413623163155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0734425882239413 0.0725336753788193 0.0146633575802552 0.0141739317323298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.339924457768985 0.351250736162367 0.473664142752291 0.253954965830192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101550109025091 0.105124485358632 0.0381942227607186 0.0300188000154673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0521906319021392 0.0538816848783168 0.00881935626725778 0.00876109632565105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0415451732499454 0.0387441522959729 0.00456883115253277 0.00486156995549152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.297819291242495 0.308648884809314 0.333937666809119 0.181149199399121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0763036371317779 0.074110066997295 0.0187823335357686 0.0127782809801871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0398688088581947 0.0374266021085641 0.00447849757142523 0.0039552765285588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0303928773037783 0.0285684051808065 0.00188774330515653 0.00286498493528299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.15299050036995 0.156045542838482 0.175960971584913 0.138094243457979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.22822033009468 0.211001471304266 0.355288547592185 0.295374388391076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.343392796282101 0.3304215830278 0.667628577803277 0.885031474936817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.4995157576232 0.48548649914231 1.01006872642241 1.75015363434633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.252774312936544 0.25381962486005 0.426053572311308 0.32624937986598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.39052934697271 0.371821671524148 0.793263718279497 0.881539189550782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.556006290803866 0.552186989418865 1.18698950370256 2.04978731359756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730959424810666 0.718010465810224 1.56271422317107 3.24095369443182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.357224332708137 0.367535266866027 6.07511459642478 3.47134069095546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.04338464387673 0.891394657388607 142.123657068521 35.3182908153807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.31394982382763 3.5897835745408 59371.763550096 14262.2742675904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.852155796176172 0.871685818046649 24.0201388829845 24.7950782115632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.153498671072511 0.156226840366945 0.175891283674106 0.138535807685713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.228280474672422 0.210917627854626 0.355050169477 0.295477846522986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.343218211189458 0.330303861625094 0.667294120643348 0.884670562480974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.499285707318742 0.485360564480455 1.00963529607715 1.74932752581315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.252645158016829 0.254024146528961 0.425885782645696 0.326661989657693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.390294452488596 0.371764746718037 0.792781625322854 0.881675276813857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.555655987805029 0.552130510276154 1.18636441133892 2.04947150551838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730586835093348 0.717839127802408 1.56188579225329 3.23959335065238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.359019015595922 0.368264054503637 6.31929973125969 3.4991883544647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.01267609950061 0.886522803869631 111.222061666576 33.3708099879797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.97057413219456 2.35975203677812 1200.67424144081 3523.89260522651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.816013160547616 0.863559370345914 15.4996526709892 24.3633644972866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.155195884020938 0.157403211570551 0.176627354463334 0.13951496984235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.22852289585419 0.210988615536065 0.355052189073055 0.295857035826631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.343223800595788 0.330286557709465 0.667258072596525 0.884771766277873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.499259723287977 0.485352492821855 1.00959917349768 1.74930071309734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.253079030205349 0.254544543427106 0.426379599677626 0.32746079004633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.390181595016543 0.371827480516364 0.792622443122794 0.8823609029176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.555549235171806 0.552141515623553 1.18620079841204 2.04981553036452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730495992347474 0.717801540901062 1.56164109106895 3.23946585475301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.361627619347536 0.369592700745 6.62392249693639 3.53976447596238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.992282768598758 0.885926463793523 91.4874912504048 32.7789429662969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.33566343529411 1.8891257319885 213.95625302733 950.178405781772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.854608780756535 1.16146493657369 22.632945990396 289.446763582428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.161312387019655 0.16226456641748 0.180211012012925 0.142877011301895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.229371535817485 0.211389039807878 0.355360383525302 0.296974537145213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.343294228802933 0.330319513714468 0.667280530524615 0.885202596628195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.499229874162661 0.485372658881654 1.00958683552998 1.74941838773521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.254903499138914 0.256311881598591 0.428651580010105 0.329716477579189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.38997137076047 0.371985100973332 0.792431664783785 0.883889889200464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.555326736640858 0.552162913857591 1.18591005972647 2.05053846336395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730308166689598 0.717733106273996 1.56117293413499 3.23924807096383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.368800064312027 0.373612579739203 7.47624053648613 3.66741457275606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.972612717293945 0.89474502773222 70.3074545526577 34.4403004756448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.01068993954934 1.2471570009323 49.329428243316 189.982073248713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.916656712729549 0.905214845595172 56.0438255199158 68.4533014008178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.202554438651781 0.201849506752156 0.215927240169335 0.173560951429119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.236704324900147 0.216868177029357 0.360842409737347 0.306775293442018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.344881470345765 0.331464247783212 0.669298134328215 0.890460854203161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.500014849513886 0.485992470234134 1.01102807740794 1.75260416579001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.272003843224682 0.271151237707808 0.478397397144228 0.347341995131974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.391302837665737 0.373308280222617 0.796141815550937 0.892544545688907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.554691123558277 0.552426385414618 1.18586354229627 2.05436254916803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.72966676488444 0.717613535487597 1.55989892663594 3.23918893274816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.451513959621213 0.418319995560568 28.1210231581697 7.41529158288625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.1657220693113 1.17734374224 178.878470448774 200.519677653208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.875122046891064 1.0836988822815 15.7077351303427 130.810431045867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.810939293433774 0.791731449821971 21.5363581555326 19.4062274200277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.256146783792246 0.270271982702888 0.285822121835295 0.687152946292433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.246736324117845 0.234838949426528 0.368048641978876 0.409631807850732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.347437106041594 0.338052806790586 0.672769338617406 0.929121935442166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.501168313248077 0.489564619228884 1.0138913176829 1.77065216073693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.36642278486771 0.298436350209996 13.7263914724627 0.430818673367677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.392310616637768 0.382507550832843 0.795859692876919 0.983028990697095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.55577383934771 0.555787609326784 1.1875225437126 2.07348699972346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730588517600178 0.718927404192722 1.56246433021738 3.24337134623089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.485678737184776 0.53832683371642 17.5479597591554 46.155899727349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.95320960498584 1.9893413795757 968.886351073913 2003.58129627923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.25360498706931 1.91777642858263 24184.457436957 1132.95250032175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.735178139761965 0.723513118668057 5.86639362580208 6.31788025777319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157924796235699 0.161221565156403 0.179377488866776 0.142055437304341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.229184968612835 0.21186706730725 0.357717001395736 0.298607132938688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.343738639537072 0.330777952974944 0.670263863956155 0.888723009510525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.499637480243514 0.485653784062582 1.01197004654023 1.75293156034333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.253959933783996 0.255032702684044 0.428258623574641 0.32890828446211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.390824891729286 0.372065881516347 0.797824827707107 0.886539586875273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.555859314243555 0.552225836257814 1.18945782059171 2.0527900788328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730866651393011 0.717921395124545 1.56369615803717 3.2419736606974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.354283079512588 0.371075671662997 5.02715036357307 3.62130488885993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.941354770662463 0.886087003632322 51.9439617513258 35.969513259928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.03158783423479 1.19059929465732 32.4748592345461 112.502948576694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.853013685492997 0.937237309187245 50.5201497520997 84.1729862272184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.171345231274056 0.173201155930602 0.189265323305455 0.150560253256672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.231421710704761 0.213776744491986 0.361165232806171 0.303074898719012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.344342044904864 0.331363082126509 0.673274517254372 0.893117968908154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.499863598602359 0.485900238001459 1.01410672507496 1.7561569700823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.257634181773586 0.258799630098115 0.433751895185811 0.333720461464643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.391339017702218 0.372434117502842 0.802927855064665 0.89207767126625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.555746959582157 0.552295338208176 1.19213941521916 2.05608533650498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730796050412363 0.717869088667366 1.56481215259936 3.24325736608738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.35645600555624 0.378568276928474 4.41002307695747 3.90088791609235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.4373540740885 1.6388683126674 5006.91238986129 1457.47001861487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.08907899283507 1.22454817579133 48.6142000224064 120.868332754433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.766647183944951 0.979388497121679 6.79719860675277 147.400572672544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.207651424902275 0.207730182976714 0.223845041736 0.178968621533678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.23875075736165 0.219988637315872 0.37095744892109 0.315341965842072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.346402191726504 0.333097888432227 0.680467403021536 0.903798177768772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.500609185668808 0.486671525455451 1.01913475241288 1.7639739368204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.271286514410716 0.270809666196206 0.45599920201945 0.348870716895457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.39347278983708 0.373747837747796 0.81515059816459 0.904926370386454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.555667894328178 0.552552068805807 1.19822577341598 2.06350986477152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.730734459376352 0.717846911017767 1.56749971784354 3.24647163090196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.372006652642174 0.40271837714216 3.89062351299921 4.87999925967821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.00347653905246 1.03663553389367 113.076390843269 156.473777945481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.43194295477126 1.35509497702801 546.522124094317 277.995335887907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.749024934476975 0.714220331164056 6.64732721304844 3.49911430977867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.392176567984698 0.397282849522587 0.548440723662005 0.486568582424049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.287093051801708 0.268613989501888 0.441514397038039 0.415930140696033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.363445382342822 0.348174484013079 0.725944590540782 0.97253918766702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.507991942511568 0.49316226780049 1.05124500578605 1.81031607050392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.386693099216657 0.356833906674533 2.23476406473878 0.488963173607114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.406371098747171 0.385841566959635 0.878716291649293 0.979327170365828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.559524556876312 0.555730579026118 1.23189230844355 2.10310414689441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.732992036332983 0.718897964531256 1.58676822114564 3.26559638202699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.6072539448572 1.60126935777548 37020.8334770657 2536.54129538331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.878530559375004 0.89343262253023 39.9657847683702 42.4350325327291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.903196409700703 1.14604099634658 20.6196187685707 171.141840081606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.726966798708537 0.718533465337363 3.48505175671857 3.71528852496128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.596551110712929 0.619851323558503 1.33459974253387 1.5519344651546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.361655691501764 0.341527162058327 0.740099994296891 0.698043227987998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.397516104281615 0.376220352836246 0.949440618379736 1.10870983162051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.528088973828234 0.506123099951686 1.24987968917216 1.89337179908007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.581818882100783 0.479181190469845 16.0982808717147 0.985573588937952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.457219608855879 0.405008497363021 1.92189900914682 1.08505659565195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.57901764741673 0.559664461518532 1.50779120079951 2.14718065013654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.750177068156047 0.720913561552673 1.88911300176773 3.28572101613489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.776010468105068 0.824234420411882 30.416969372333 30.2626257989008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.993964071355651 0.955987374254746 187.523572178178 97.7826238487369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.5860040131956 1.38494425105133 528.996894335916 220.097430397034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.734919130210151 0.763514730423321 4.00719551731627 7.53216613094331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.136092879847574 0.144162571065781 0.0884971737027749 0.0676001443362536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.201962669730074 0.208493711207751 0.162486074755365 0.10499850328679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296086711912206 0.297439779550078 0.262516323911574 0.316585187615969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.422957634939543 0.424551076473349 0.425920831034265 0.856206828494532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.236975136709454 0.245536936885633 0.269498409683663 0.168297402927721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.373176180084715 0.374639565918602 0.483352131115961 0.43026003287945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.522512534157226 0.53898978047177 0.738938971767272 1.17902261771192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661367978238652 0.689418013058296 1.06309414335639 2.2114484569437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.249127835064201 0.24712430092591 0.642898339478479 0.583704291442828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.33693366754897 1.35846486435602 98.6233403665481 98.9082185519102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.07695879141918 2.11812025694718 122.454132086511 148.480614719492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.49318291779403 1.54959623264516 49.7971633182862 36.9280395450654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.13639696715865 0.144654895341636 0.088790757864286 0.0677962505305318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.201998687801318 0.208656190196803 0.162517458672816 0.10511322735051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296157727202093 0.297511084837886 0.262604005957616 0.316775239793443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423022750935357 0.424573779085696 0.42603988778478 0.856419668527694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.237103183568974 0.24576169236989 0.269671541648841 0.168311288483184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.373275378263312 0.374558381930921 0.483468810176083 0.430182154697289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.52267423408177 0.539055570250962 0.739283778540672 1.17922085698171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661435405754917 0.689483386406223 1.06325596232263 2.21182006580037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.249116325918273 0.24689972933135 0.637997621006998 0.57196403976699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.50338865005558 1.44351392217589 263.39578207802 138.617618906172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.05923165447258 2.19899289691579 115.748354515788 185.47318244381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.52201473992869 1.74718614748426 8838.46355252288 119.68583733102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.137393384792763 0.145963242275806 0.0895869312439486 0.0683928730988596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.202121469747862 0.20891837683805 0.162632895946177 0.10529812599385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296250931450565 0.297607553656036 0.262717421416179 0.317007281547301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423092404144645 0.424599411312761 0.426169754073795 0.856659859507149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.237458648070485 0.246206906648618 0.270103729475415 0.168503619256161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.373381575045032 0.374531943160511 0.483602927558104 0.430169884945853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.522844303769387 0.539117450334328 0.739640708769443 1.17943214005242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661504557492454 0.689546500656082 1.06342245616193 2.21220108492638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.249281133299507 0.246880170646856 0.633604485314783 0.560850647081651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.5854187798439 30.2888473639844 259861.523698066 1669358.59805105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.64589633077698 3.77510943066669 14848.6473980373 6087.20790073325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.50854963732984 3.62498232273387 129015.885994281 8676.02339236479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.14168534399783 0.150845068022847 0.092795937608763 0.0707847021326281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.202623422492412 0.209637207717572 0.163113909817655 0.105853397458571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296462132931785 0.297834047622781 0.26299955422974 0.317569861551712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423243813222991 0.424667482211026 0.426461530414178 0.85723424623493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.238762865488136 0.247578325522895 0.271684044678205 0.169387158183661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.373639034989916 0.374526604482108 0.483944124320548 0.430265123744467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.523191423590369 0.539237416210234 0.740377928671917 1.17990589344565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661639745290839 0.689664680524645 1.06376425047478 2.21298896265132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.250043638769599 0.247374046734014 0.626200775606622 0.540361848914043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.27217737726433 1.59181608323675 61.4762017687351 260.052052156095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.06107888325796 2.21938461718644 111.188367188989 148.413970050947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.0992163494085 1.74372489952671 964.980052874734 160.469974720269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.178420581703129 0.188885502001004 0.124403445974316 0.0957171289568797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.207630869060532 0.214996752574922 0.168158495866257 0.110587531527528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.297870311063798 0.299424301301565 0.264994218748502 0.321345776929632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.42403410621683 0.425323890205583 0.428073772517386 0.861068000599855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.24960935814834 0.259901113978489 0.286103944554207 0.179942469911835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375239706280994 0.37533880848958 0.486277257842655 0.432433312323044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.524680171085179 0.540098244969644 0.743650171188593 1.18314984317774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.662183644198898 0.690510716457059 1.06526882268597 2.21755090440058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.258074175903897 0.254605333853194 0.61290316785731 0.477535533059615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.58860598388637 1.4698056899379 382.210135224578 175.707907641526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.69720630142792 2.52421714555523 545.6587420761 380.946382662258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.55748584467641 1.37370364483913 54.1258044817276 17.1557524175752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.228025795750368 0.239710369947191 0.181937357214841 0.144585246277591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.21639851289706 0.224115327212287 0.177710171273164 0.119540482129841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.300570538633181 0.30214971269915 0.268623515116912 0.327804889657854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.425159625892313 0.426553539585695 0.430444355743918 0.867581648380941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.267525579901372 0.279921441310399 0.312936536411267 0.202547531707614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.377741555425723 0.377045330288742 0.490216952917317 0.437432277866526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.526200007595973 0.541232567911718 0.747317764861267 1.18823338789493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.662651116885065 0.691574044783813 1.06687272181637 2.22370506310483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.273220985788357 0.268411243427403 0.622887253528728 0.438116956539584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.57127787851993 2.22503529248312 255.290040333326 1886.97912948315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.70199508312586 3.49178762426153 422.338097551778 1889.93433781992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.8602296350547 2.52698534165823 221.561976314356 1302.46827000717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.140737613883356 0.148974925860374 0.0912938502779078 0.0694127707990131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.202631318587752 0.209457647023767 0.163294016327195 0.105429903475979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296740729243979 0.29769288780194 0.263518929017315 0.317059340767676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423125979881568 0.424852659164424 0.426609378360699 0.856960748722509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.238147292883914 0.247460814326676 0.270689199053133 0.170021966903314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.373595544859652 0.374676578305443 0.484256474203236 0.430758622606197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.522696607750475 0.539278631089102 0.739877361554355 1.18030377609557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661343174032826 0.689716930233434 1.06372310095383 2.21267534174568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.249403986787466 0.247316238210392 0.628662857321858 0.543556210658975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.0227975408783 1.55210134942963 893.480590147679 220.648862637634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.89108087540053 1.85877150673338 85.6420552899242 56.9483496145969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.84662647155146 1.55501015734516 397.489999359009 35.6194107996957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.15153860085137 0.159707605609952 0.0992051177570561 0.0749551338615097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.204143801450148 0.211194278549795 0.16495699851274 0.106504379128778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.297606731965666 0.298112916753423 0.264785111136824 0.31789688186509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423345929741888 0.425269830580653 0.427418778765193 0.858096742314834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.241077053941921 0.251737588963735 0.274259719756281 0.17356991727869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.374156412746884 0.375104331447314 0.485400361454052 0.431770745043551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.522901291788181 0.539679571528642 0.740883951328306 1.1819236662508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661332649648267 0.689996450479262 1.06438674545505 2.21399851887818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.25139711952471 0.249181583242427 0.619168947357834 0.509307457149312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.8277080270494 1.8237256768852 455.231219328481 759.294967655737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 52.7570687052618 123.577566484402 5161286.1625544 29527729.5362962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.41990825186329 1.60841687693229 30.6745206483738 60.2797856017891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.183760203851218 0.191917758806895 0.128494756222675 0.0969301341588071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.209343914869521 0.216549585592232 0.170671892687928 0.110483954222786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.299857725525057 0.299419639056853 0.268047277628897 0.320631002430543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423874852388752 0.42629886111339 0.42936964684647 0.861308703592846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.250581436362617 0.264767331196402 0.287504741022486 0.186001652354919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375692159385159 0.376401127871592 0.488394943321021 0.434910408705287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.523405920148823 0.540741968343672 0.743121480010736 1.18609803962355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.661394778908657 0.690918326960647 1.06582218895279 2.21781763854916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.260206484376122 0.256690679610409 0.613044450671667 0.454893504948696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.10780918949399 3.24277195151987 2404.97388116707 5108.70849609986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.71010838733827 4.12469205105381 5325.61619192612 3756.62704684781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.47795804470504 25.9986529556184 45267.1571527113 1197226.25618036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.358988251180844 0.370615744120716 0.41191176185802 0.329012497282686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.248068069411786 0.254816917948391 0.22030273456584 0.148839267243092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.31465794515211 0.31027280396797 0.290538336898753 0.345461047641216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.429430674533974 0.433605505044086 0.442846361191269 0.888658972793178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.323838492158765 0.348350920580803 0.419692290898512 0.32595098869536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.385711178652087 0.38751090339089 0.508406802590334 0.463587927618111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.52626572506202 0.545265278771579 0.754637065160695 1.20966092925032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.662198595726243 0.693302434205314 1.07248727375172 2.23489035087314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.325856943990669 0.318355761378482 0.720007856221311 0.36554251613202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.83129084731061 2.53283000731973 520.522908309604 2517.03900525818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.18642000925215 2.56747544749352 238.298936956815 734.082607256781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.82991242475182 1.75373065024717 123.866519118899 81.1945079171079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.554701329925846 0.570231501155826 0.960356630551698 0.767349796226667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.302090572900074 0.3083848331834 0.306016974597969 0.22364631568812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.337189134851451 0.331786184572483 0.328368791932985 0.397986261119707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.440226847424402 0.4475691543844 0.467006372876145 0.945399415057545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.428974913967788 0.458834354154072 0.683659883122256 0.753801945514872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.403428326836338 0.404683397665384 0.544405482375056 0.508312372236049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.531611602829775 0.550016614459828 0.773137965439658 1.24337782854653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.664076996499197 0.69757019289649 1.08392590852365 2.267382907504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.416897992572354 0.412688186239489 1.04635546167428 0.456710065771652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.62835755084362 1.84439575120438 3063.57982601068 334.545170274232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.75413783983167 2.14435863120155 645.476673229507 191.202906948242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.02761629975662 2.20217083676328 306.093485111827 292.561289797278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.130736981532041 0.135732873531038 0.0735202521894604 0.0683751260008302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.194012501756327 0.197082012847883 0.112987039103732 0.118138644128888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268086015412018 0.27588634602747 0.142575850373111 0.335696444890782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415825291825621 0.424416570040286 0.309965439881844 0.894841298355044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.24776985265287 0.239227380726787 0.276477580217542 0.166019814339783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394207397041933 0.394962101210533 0.452651540197563 0.51212018690866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.5367422894219 0.552351320584483 0.615148360927701 1.23593444380588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.739411533906825 0.758873907537905 1.14831037030008 2.3023631161026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.179019501186229 0.170809243257078 0.159260633689307 0.0659494745680508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.730787850414816 0.675002988619602 4.46354179212498 3.95475205434574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.87871260458963 5.23599037027985 2552.63779139509 1471.27362513219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.73838627949214 2.86448807021966 668.032380686712 184.949780794178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.131211274013529 0.135824596138983 0.073730401800003 0.068603228646611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.194170315980861 0.197118774784166 0.113149307895329 0.118133146669682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268153928391989 0.27601535631101 0.14269646975019 0.335837855432877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415829023348396 0.424434562885835 0.309988825255553 0.894891796288853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.247887488212401 0.239102021115129 0.276616960777462 0.166285409221149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394176959411761 0.394907876904934 0.452620942939955 0.511940187735683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.536743477024048 0.552389183749763 0.615168811527158 1.23600720685659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.73935838787138 0.758896066996381 1.14804304443211 2.30240382697349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.179075841300342 0.170966646719015 0.15929750810311 0.0662001625695021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.73087437622384 0.677510210732749 4.4668919427238 4.32714886958417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 21.8864444234644 13.5884366487099 151489.054208019 33086.6948286403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 15.2168646708518 4.95994011082476 152079.896032195 4133.35312157655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.132449893046884 0.136718196558728 0.0744358506878604 0.0692431695093038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.194405627874927 0.197179167533577 0.113375333376971 0.118185126396505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268236590156285 0.276188682587031 0.142833573072014 0.336049815835976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415842207213244 0.42448070901302 0.31002424134293 0.895015020272132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.248355198243465 0.23917497767247 0.277104948234017 0.166717962510136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394159925710315 0.394860878732067 0.4526112481154 0.511787774304071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.536744952679194 0.55242640483183 0.615196619516288 1.23610029440382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.739306280933612 0.758921915145003 1.14778500148084 2.30247635601244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.179377734775272 0.171372948012812 0.159545659691904 0.066553049931463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.732022458987907 0.684730127493275 4.50951081455794 5.38545927137586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.33749493662194 19.907725606168 10228.8861734454 124619.361018681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.04822217152799 13.253262901547 3527.66925036432 110021.015951233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.137048298445275 0.140947511669854 0.0773036476432332 0.0717888377089576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.19508762868936 0.197462159778913 0.114011166918569 0.118499863087265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268429652138675 0.276631783851055 0.143153996534394 0.336654845071161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415894035336584 0.424601863049218 0.310130431341543 0.895396989722109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.249862220457585 0.239902293208649 0.278791181573009 0.168080798036141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394171617934133 0.394779166925206 0.452658224767652 0.511558459979282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.536746335804206 0.552515602669903 0.615272537180264 1.23637654402385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.739200684572038 0.758992656663188 1.14729332464554 2.3027364553135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.180589697370676 0.172805569662887 0.160605777580368 0.0675519174252999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.742246651938475 0.734647572249532 5.03951136211599 15.66392167382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.13570425779188 5.23614121906648 3798.99972220843 1614.38142318711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.3483347442224 2.66430743679052 1940.41171579773 116.71686799359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.173220015730413 0.176338783102928 0.106096111973973 0.0970183770642709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.200252727869475 0.201160515165768 0.118886925583853 0.122815764649733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.270215404612365 0.279275953159291 0.145191377004439 0.34116968840685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.416457173446157 0.425579488769182 0.311021620215801 0.898954778007459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.261821857059601 0.248924646885853 0.294048652603797 0.179770037486607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394952167389048 0.394503863833073 0.453799848712041 0.511565817893935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.53687982983053 0.553398100262162 0.615900723641824 1.23927035189929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.738903703881723 0.759572747268532 1.14576594751102 2.30546256967571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.191255937210706 0.184821839479179 0.171241629890161 0.0754140909133089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.746966774716519 0.613472765535564 5.56345004386974 1.03316156474901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.48678048699297 3.89756815166631 510.957855941445 728.587294669581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.45069027377156 3.08773261039398 121.363174078498 319.930988440479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.221237061006847 0.224700476321631 0.15962336372535 0.144860383910642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.208926481919635 0.208793358580532 0.127441493937821 0.132254276761306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.272923871653858 0.283068500489326 0.148303016037267 0.349070415191325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.417471304525321 0.427254171391458 0.312623699168202 0.905773982321006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.279649284201623 0.265430352621685 0.321004724125831 0.20124754227053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.396644478511024 0.395098950652404 0.456276279731005 0.513854862939747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.537358546300268 0.554618679650563 0.617136015999411 1.24438121708858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.738718505306446 0.760675198329306 1.1448857188675 2.31110439798283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.208788634103284 0.203302401078851 0.191369194338652 0.0896937193061328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.723977090772977 0.602763639593493 4.21030162299369 0.892422021242879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.68134798474464 3.53810696362452 5485.97361443457 595.46332568194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.48033057745048 3.52776301394914 94.75704957745 777.6979729368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.135204199791321 0.140207142013352 0.0759996969136266 0.069698611628306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.194370445622194 0.197320249444469 0.113263283296057 0.117910244459513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268169186283928 0.276061474967797 0.142841034806523 0.335477929091692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415620835690175 0.424458892204985 0.310179634414933 0.894427705305171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.248031981124657 0.239556784768965 0.276886410187181 0.164793143112061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.39407392792454 0.39463486113111 0.452303408444071 0.510136034649067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.536955810209786 0.552115692767728 0.615537510618076 1.23413773715391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.739512663200601 0.758978397395886 1.14905852950499 2.30144475656611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.180360009664941 0.171981121158777 0.160677386127503 0.0659908780157592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.796977438902978 0.942161696679909 10.944911620439 112.557192759086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 504.364551775637 125.727035852291 271551567.720785 16237374.4593432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 560.755708872539 91.4168261126909 340772778.392843 8295123.43587831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.145285863025542 0.151699788177752 0.0825847859764358 0.0753153880837397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.195463199209072 0.198138521035385 0.114138527590545 0.118363732715733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268409776392776 0.276464652181772 0.143268598371503 0.335712578884689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415486917050765 0.42458665768841 0.310517413547382 0.894384178574398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.249901512166001 0.242354505116029 0.279231217448944 0.165489318646813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394002455613752 0.394380173360358 0.452097590316135 0.508443970401981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.537234849392368 0.551886265767452 0.616058220280912 1.2325249180612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.739661097163561 0.759130657911358 1.14995594467801 2.30081887163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.183573616050047 0.175001183617345 0.163825748763801 0.0669691102654901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.785532514075254 0.62968769938382 9.07207455211493 1.34267667002106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 14.3767707008125 4.91503815070093 128927.44722919 2838.4475476276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.59259246769653 5.04979762677655 576.366539357002 4107.73568631944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.173313688163637 0.18264136803396 0.105816566272211 0.0972141473682141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.199953001193391 0.201851023433351 0.117739890162334 0.121473550465876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.269745812933811 0.277850195793585 0.144684244818648 0.337458011769428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415555780003164 0.425113993847869 0.311584568456454 0.895435419482852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.257512608742883 0.252523800036271 0.28912060890822 0.171964833912079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394122315858804 0.394143279495129 0.452161049535111 0.505992469900548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.537945187986606 0.551619142611882 0.617469527213798 1.2301552532181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.740039282401209 0.759570079031952 1.15215767296152 2.30044349377092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.19407665768256 0.185022372989426 0.174621131059771 0.0715783798599953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.784776638693211 0.622088929023773 11.4902666051225 1.20813344691563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.09914195735322 5.9768449239301 800.324228939775 4471.85350152073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.5826510998006 3.17201168531102 1094.10750501438 288.817755833824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.33116803067466 0.354506584233461 0.334862780179057 0.326875173610618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.235682095967649 0.236026222536503 0.152936505304628 0.161062810212939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.281784244945214 0.290428220858234 0.157029221564342 0.3612588202446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.419862093361345 0.431834089124961 0.321155903758429 0.916364480932071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.318214892611734 0.324105569084892 0.387877213811503 0.260192504329904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.399329841948566 0.397189824010057 0.459455594152059 0.509498719804434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.542603935668147 0.552819249438295 0.627867898898055 1.23229973532762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.742521416706985 0.763360431713484 1.16672770369175 2.31079444299081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.261448663865626 0.256796788305542 0.267159486319016 0.127492724715793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.706168545732866 0.634288725622124 3.20369576849898 1.69788135778006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.00961673510443 2.64906492763552 278.8606830535 209.350180860559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.70974863927079 4.21280917402996 1054.7701415889 2012.41442643159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.515313901265806 0.550383430126737 0.800708594145713 0.767422434534143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.286728066481601 0.290677514356736 0.219520789228128 0.241575352593627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.30284458401597 0.311026278754703 0.180829351300854 0.409652926429415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.430824024613372 0.445189610215969 0.340454733683682 0.96212675660588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.405515675820119 0.423789560678948 0.58605730726653 0.449356440263497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.411402028440389 0.408335789028478 0.477935890451407 0.537287047822072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.550117402733864 0.56008076320769 0.646632758158745 1.25824028988935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.747036387974222 0.769848779142847 1.1933801888784 2.3364915673075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.348994449279162 0.353797481346264 0.443795901710052 0.253725230002733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.735034803529249 0.649964730236229 3.65984728995484 1.21312372893248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.18080489788769 2.36155152813653 1035.27136759742 108.468441462594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.76943268394245 2.22085365468499 260.333542324378 146.450336498866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0417426009522817 0.0395036243943495 0.00778357344482713 0.00775215126630953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0720368997038321 0.069113564415033 0.00971037566754064 0.0236646819215928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.134655502691355 0.130822624641947 0.0245770687765643 0.088421456596351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206258196047757 0.195822076468042 0.0545938790867965 0.200093659280377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0839933648481966 0.0773123629803426 0.0262909589800235 0.0187333950528356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.139919142066577 0.132253062035914 0.0411128483805462 0.0716794409993743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.230875183127702 0.22113736935819 0.0747254904133777 0.237717231942496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320237997619985 0.297376154328951 0.146391929227309 0.443974886961664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0386093278600238 0.0378988929501523 0.00372672463993638 0.00765107668918347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.103943796639947 0.0995572588557561 0.0174215656026411 0.0544324782707239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.20165428721757 0.193949575864477 0.0549269493490804 0.20078707244137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.300898466074984 0.289623357763632 0.113416649330084 0.443603237214017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0510886062375732 0.0470871390372377 0.236325482936807 0.104952521466681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0765781899602369 0.0719408078947208 0.0621865799520042 0.0409310643219105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.137177269887677 0.132074977872815 0.0416386336708072 0.0932350259683785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207904530679252 0.196365456595545 0.0625993854299079 0.201398991937088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0834105717622565 0.0869979142827869 0.0225874677390711 0.22515069282644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140169142368976 0.135216043707122 0.0414557333711246 0.0936148831595212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.230944318131975 0.221983325717995 0.0748010941317874 0.241433899693001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320194546845287 0.297626057381304 0.146294774697693 0.444014869768806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0429680661735738 0.0411305436908681 0.0255976998045011 0.0173029666548722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104643805464463 0.101546723462596 0.0188798037908164 0.059106953391802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202266605424124 0.195220847614525 0.0560094369074803 0.203412187873586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.301340839681206 0.290224077379919 0.114050340760835 0.444574949944006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.052037879929912 0.0492284558015144 0.151340197933802 0.0806647415650794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0756339179207835 0.0715379575002468 0.0370552548845474 0.0335380993435418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136440548705481 0.13178276255166 0.032746501851051 0.0909380463679207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207343691210098 0.196179441735214 0.0581795847855179 0.200702735540805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0836525864935797 0.0855449896131481 0.0224941362217755 0.147615449087356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140076609833953 0.134511442949018 0.0412238307459602 0.0849558747648552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.230885041037771 0.221725779343956 0.0747100779215221 0.23974620249284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320185585774741 0.297400451080869 0.146277057371252 0.443566189586521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0433888736968567 0.0418048064369982 0.0192166681197919 0.0142786217062495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104613214642258 0.10103142468071 0.0186018804515482 0.0570401027662598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202219472015503 0.194806519698861 0.0558124628430822 0.202102631382325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.301295416021954 0.289893127578039 0.113916993022586 0.443752861656717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0599297256687985 0.0579891514939022 0.130290168090649 0.0734250100150424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.076482631496758 0.0725492219925207 0.031499239649959 0.0319289141757664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136449736237077 0.131801084941789 0.030887240636606 0.0904798128826955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207238117208324 0.196134830097401 0.0572826880501231 0.200586079778308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0853730091070854 0.0870521643867078 0.0231495470723272 0.126257738352771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140103434538757 0.134396311557584 0.0411658206020226 0.0827061861169755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.230885464866605 0.22161763916208 0.0746789273101501 0.239304982117714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.3202011025945 0.297313789414228 0.146261862231107 0.443451472394905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0469215499504328 0.0455320604670238 0.0183400566718586 0.014326624360647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104729131460465 0.100927816450472 0.0185758795482188 0.0565331837399082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202253936194527 0.194671318251888 0.0557944964114625 0.20176337920827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.30130169576164 0.289777175395854 0.113894928995002 0.44352893757772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.110038834281043 0.109519194784213 0.154615252616319 0.0886687079799395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0875588476605347 0.0835907921615306 0.0346577765516256 0.0357777552899242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.138683519257784 0.133450551638596 0.0316348913485143 0.091659595288311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207771261800497 0.19644207161263 0.0575563675573539 0.201022387210309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.100959490391649 0.104401735159874 0.0311793821803202 0.124442673258994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.141104306688101 0.135575197020629 0.0415953344719449 0.0829941419480764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231108354178784 0.221640784047348 0.0747342564447297 0.23936419251848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320308339434626 0.29729253694409 0.146263982747869 0.44352079721274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0704474305315224 0.0693106315721691 0.0263087869974586 0.0219202571655726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.106199217965707 0.101959094047167 0.0190741471094776 0.0569298371934123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202557676874853 0.194705328984822 0.0560617494408001 0.201665531426946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.301431910573779 0.289695585747126 0.114014141760585 0.443308646231152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.169660429395055 0.169251219603476 0.216335095761008 0.126604891512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.103768511571704 0.100226707652895 0.0441490949199478 0.0442316868977891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.142789006254855 0.137269552896927 0.0342244266420841 0.0947251016767633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.208945703565322 0.197392623651357 0.0586713079968995 0.202238091260033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.124607216279994 0.129996706531566 0.0475251705464116 0.139117883267391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.143442953015932 0.138049192323043 0.0427496752635502 0.085223338262672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231602291436838 0.221943483299191 0.0749597273846614 0.23987586451217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320497632739722 0.297382065654827 0.146358240672891 0.443745931939237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0987349728986786 0.0975556573735445 0.0422121370841079 0.0352679158281098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.108847499396925 0.104299940210266 0.0200031770276211 0.0582456403045696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.203016117760853 0.194960061872974 0.0564964310208391 0.201811975275062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.301595777975737 0.289671507515173 0.114220694158518 0.443120230572014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0519248026934969 0.0491200607688522 0.0136114617137904 0.0154500993507317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.073484679860865 0.0705883742458297 0.0102065584796989 0.0246487711465814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.134872075399797 0.13110952241351 0.0247081031297912 0.0886884103651304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206291188835867 0.195843571664207 0.0546393084014444 0.200147678021348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0872111440224942 0.079216240848706 0.0370410243074189 0.019348371418418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140287714675456 0.132446999040207 0.0422466301757208 0.0718278454185937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231033460067414 0.221278844931937 0.0749873171784192 0.237926174137879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.32034735949906 0.297502783690906 0.14645377531862 0.44421604374771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0430937177141804 0.0422114404684962 0.00475685120933481 0.00937641138237024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10423442805183 0.0998217598393359 0.0176605018809315 0.0545993851802552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.201788239073058 0.193986277613637 0.055055652001747 0.200827815111997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.30096458530554 0.289601036598391 0.113497143454345 0.443567452548503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0695065290692582 0.0662373957467884 0.0185760773239796 0.019969811594672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0765110440678532 0.0735456253626361 0.0108383508593535 0.0257942519377004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.135366053127444 0.131562830110359 0.0248722964072642 0.0890883373045095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206392814629014 0.196002151193498 0.0546921366443958 0.200385956539872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0921444924086399 0.0843856187130037 0.0389605843457663 0.0212166742560114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140485665844362 0.132942371121105 0.042288060267077 0.0721839961299964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231084752248061 0.221481637043184 0.0749878273037413 0.238212517867011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320345272498979 0.297644420562766 0.146380932426956 0.444477853131509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0507873296566793 0.0500298829358556 0.00597300417857772 0.0112322273090273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104460078940891 0.100182968927154 0.0176810521496393 0.0548206620015993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.201779732391877 0.194034348525631 0.0550370943074963 0.200907897317188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.300915070353045 0.289616957449409 0.113486038528079 0.44361198055176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.111933716115171 0.108210631078991 0.0391002295880967 0.0386013740998777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.086273683769323 0.083531360186998 0.0134183814266057 0.0301415765587995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.137230339849364 0.133605474456363 0.0255290326494708 0.0907270786968709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206878080480558 0.19660883209655 0.0549460542149487 0.201197479208378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.10734794641434 0.100359835811235 0.0466201856295713 0.0282767116546399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.141333404684954 0.134600684395141 0.0426609308860367 0.0733452715333463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231245355564711 0.221985452561219 0.0750688019264849 0.238882224356126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320392163039479 0.297955117650957 0.146294327811823 0.445035773845734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0698228879704322 0.0699177089436251 0.0110431750482221 0.0176868726048725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.105444440559869 0.101571227317003 0.0178616180652934 0.0556137064615324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.201791735681774 0.194184602820267 0.0550316796071667 0.201102738627863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.300844275025575 0.289662087276757 0.113475199616313 0.443680826889694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.297976615953881 0.296026362750333 0.275090133149002 0.22504774036629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.143517158438839 0.141676309995682 0.0424784194876045 0.0674424981266713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.154599244997161 0.150800544792544 0.0327950570392192 0.105460427130167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.212461485734716 0.202849144688841 0.0579608959814846 0.208777713121511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.200438709180132 0.197242282225741 0.134783678044421 0.0995771572004697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151439345768022 0.146899943617411 0.0487524516859878 0.0827625116952268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.232999382384815 0.225385042798557 0.0766229982347812 0.242957014831309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.321002125250179 0.299600743336242 0.14661347655711 0.447685426251915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.162008795176434 0.166220547055555 0.0722343894812334 0.0772867200762404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114968366715188 0.113005219627589 0.0206039835190901 0.0623677648951688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202434257765916 0.19575591534558 0.0555054933233163 0.202491617244048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.300671841900812 0.289992610889323 0.11359569024354 0.443727884862588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.486918963311904 0.488459605886085 0.778628185708154 0.568597713809044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.210294424780498 0.209355821422738 0.10351822068282 0.132080598957282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.179923036429383 0.176645509014859 0.0478650598121922 0.130822608916015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.223076107071504 0.213987883806481 0.0641859019766754 0.222664728605726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.312568997956488 0.313192056123551 0.331776321728069 0.242221650759351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.169767737230708 0.16676825483611 0.0630870910197749 0.100169156036303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.23735048839451 0.230339119811116 0.0804497613586578 0.249168349579783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.322226659207221 0.302356766218996 0.148255887123683 0.451763114303735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.262518535158107 0.272221618554604 0.212650274094363 0.190774875668631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.129925130295083 0.130641230485737 0.0270986963174813 0.0738679256533591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.203891845857017 0.198701893651777 0.0568448120892939 0.204684981868569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.300197539610836 0.2903348955325 0.113967229015893 0.442818319859916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0324724891136837 0.0355332161392256 0.00316720122174904 0.00474862302377076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0267485237378509 0.0299409128695994 0.00275921153541187 0.00374404553124829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0402314668057815 0.0467848358182754 0.00656164178115003 0.0102734229816492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0597971837942996 0.0699379417520454 0.0126092524268827 0.0233865324782867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0462867035816324 0.0506065605892694 0.0076104518756534 0.00908473373889069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0575885796880048 0.064791459753123 0.0152502664072936 0.0161341289523803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0891778841083262 0.10095836721048 0.0322528131509625 0.0408098733882837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128199575359274 0.147902927239966 0.0533615647769633 0.0856425625484414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.022853007531064 0.0233372910424343 0.00191973963197867 0.00188698748958797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0301232063561149 0.0326776937457708 0.00405831122096805 0.00561141910160804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0552967738585851 0.0630308435238121 0.0131337615400699 0.0203103682263857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0854803598065048 0.0995425569595439 0.0285039798334977 0.0483032879463522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0408892750963578 0.0432930272347134 0.00459577367648948 0.00641332468567214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0288473409919278 0.0317483222422886 0.00297014627515721 0.0040221012944408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0407774879346321 0.0472447396357526 0.00662321575752247 0.0103711044879633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0599819498525999 0.070062589697767 0.012629088992215 0.023423911058566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0490377709714582 0.0533098441114306 0.00820760303053215 0.00976033694174678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0578432371023656 0.0649661706648081 0.0153095916574608 0.0161858579826294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0891842602712186 0.100985009718616 0.0322609828592576 0.0408106277941472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128183665883166 0.147906253659899 0.053351569653293 0.0856312291441612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0262730430381533 0.0267022942740602 0.00230801951392443 0.00228748899295639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0304966432556451 0.0330244607704725 0.0040823558918432 0.00566415237244853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0553582123291604 0.0630684863749316 0.0131398925984114 0.0203202326197872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0854963819691481 0.0995543780394863 0.028499122099061 0.0483171214224577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0579425991687362 0.0605380404012612 0.00881525204769177 0.0113459471934039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0338184617881687 0.036188045682793 0.00358358789391724 0.00480927003534481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0423886958937478 0.0485064896746829 0.00681412006394303 0.0106608200368155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0605214738497025 0.0704229175801714 0.0126991117041441 0.0235460105428523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0557546791153972 0.059645260904292 0.00992122908572892 0.0115946109096622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0586142858710072 0.0654840539120636 0.0154856166877408 0.0163429664518177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.089281403386939 0.101070623803776 0.0322978871832378 0.0408406331335661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128193907469729 0.147922386804023 0.0533528121394173 0.0856312490665371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0338119694687794 0.0346626887637236 0.00345458084463986 0.00350975407015329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0314596997048715 0.0339488181309928 0.00416343843196184 0.00580877180022804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.055552255792321 0.0631992818151697 0.0131638500142011 0.0203569142363324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0855525117067414 0.0995927083895932 0.0285030486731928 0.0483428504664041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0993736406223176 0.103706482889798 0.0260689345013818 0.0303483002768783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0471330734774869 0.0488446904878213 0.00596806673434686 0.00770967972558342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0474815576296804 0.0526354056073685 0.00754534014356782 0.0117191624286489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0624595212718082 0.0718527805135085 0.012982359675425 0.0240470859637859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0752589707001234 0.0788560943755228 0.0166134979906701 0.0185728461001927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0612261724964877 0.0674925687901308 0.0161409158469024 0.0169693468919591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0897387844260976 0.101425620928262 0.0324567924404271 0.0409904407614086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128292754897433 0.148000048629386 0.0533890204424446 0.0856682573603639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0531211537621749 0.0552018686588963 0.00796646097406236 0.00827863566690434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0345136444071522 0.0368789420196594 0.00448210345914197 0.00631787885370026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0562754101857575 0.0637242528383061 0.0132617944216335 0.020507871569584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0857774206907488 0.0997525620151844 0.0285365489683843 0.0484311919333761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.280560643311942 0.29257372816141 0.221273970531816 0.21779449251857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.111184884996049 0.114743019900306 0.0313947268640432 0.0360719988983921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0762190558523767 0.0791412295550689 0.0148487256726279 0.0212167203360577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0762494014769301 0.0831938378010389 0.0158878301118022 0.0287149381870818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.176355427695526 0.181721707438701 0.0894668804297268 0.0874939898853078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0799593217405955 0.0835962140157643 0.0224912964300642 0.0231600400125324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.09421198780941 0.104782157345151 0.0341182991565592 0.042664712144513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.129567888637124 0.148850142199609 0.0539547011052476 0.086276675359591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.141458961539158 0.148613197224158 0.0571445329015676 0.0567219804323397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0530159650934062 0.0547888154740763 0.00777576364912459 0.0106851357946685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0620452843913909 0.0683332654112357 0.0142512035988298 0.021965756409741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0879274219897439 0.101312342728324 0.0289910467267833 0.0492146282434048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.465622907517588 0.483512766577885 0.636409286033124 0.562716642886889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.179280968437349 0.185640606331284 0.0832546614420724 0.090244917371902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109725186849799 0.112638506965037 0.0293921051402605 0.0386215193855827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0941073879347854 0.0994130415374177 0.0215935485220495 0.0369657394878267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.285416955782379 0.293242732560796 0.242588887402555 0.217424070363507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.104776405750948 0.106966405767134 0.0346919399289503 0.0349824636415032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101598466964848 0.110656016727866 0.0373081267383094 0.0459737599086379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.132063662346326 0.150515521572395 0.0551842141164055 0.0876256714670163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.233835330850163 0.244424926474877 0.161095182303154 0.147973214446297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0749830324763296 0.0770936987857579 0.0144158130784251 0.0185393065507937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0702309361820406 0.0753642043089077 0.0161440407420694 0.0245294028023992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0914688834578906 0.104218144353241 0.0299275401931721 0.0506656092058847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0813684496977837 0.0854815324832461 0.0176373038953908 0.0216105487627984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0413287346610078 0.043281578907615 0.00481170100869552 0.00638237519504527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0452894091496115 0.0506777710584337 0.00719892828203034 0.011226924791907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0616697045597391 0.0712928558604155 0.0128576923654197 0.023853221796897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.067134315119964 0.0690034347538067 0.0136808245530088 0.0149280888135345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0602703651361855 0.0664972755680782 0.0158760598563719 0.0166372824457552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0897392773561804 0.101243467539487 0.0324714460125714 0.0409343754728273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128406691635541 0.148004629134771 0.0534931903005567 0.0857397033812711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0452453061178802 0.0467058912590294 0.00594036649163572 0.00614889982215585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0332293336072192 0.0355539292035785 0.00434686556317389 0.00608417483717449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0560148929647191 0.0635101091583876 0.0132266620815754 0.0204407988596487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.085687638092855 0.0996702528133205 0.0285312567761371 0.0483552987928803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150005647730939 0.158004079921594 0.0622619491862218 0.069336020552304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0646103891930748 0.066669694002078 0.0108155858708529 0.0135316875032987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0550170786117634 0.0592563875728673 0.00898567108227281 0.0137614159607789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0660358437022315 0.074594570139564 0.0135881427197228 0.025107698106332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.103147684460567 0.105070443761119 0.0309153547833648 0.0318916896605455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0661702635680757 0.071020865768064 0.0175304894054588 0.0181746331498782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0911655600016465 0.102091799743849 0.0329775479910431 0.0413577401471347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128822804922281 0.14829615502661 0.0537294395336182 0.0859827536058541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0787367234855741 0.0819888979314201 0.0176748003502389 0.01818567230259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0396328749532683 0.0415233407891446 0.00518766541806885 0.0072716056529172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0577195703776304 0.064775022125309 0.0134885284556525 0.020816518972788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.086263512280442 0.100069068815217 0.028647745532707 0.0485295999104407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.292115845558654 0.308344271296678 0.248441083730814 0.24886938056844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.115769764700548 0.119685791970882 0.0350467079509887 0.0405199116700639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.07879034725542 0.082066953703507 0.015922576124986 0.0227731237983591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0778775707642874 0.084733814986489 0.0163758357703388 0.0295523680352635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.184177733303643 0.189027019020431 0.100564061612211 0.0971854121873569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0826825374240961 0.0853250120887511 0.0236458000813369 0.0240927345273923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.095706653889797 0.105299908462202 0.0347407983157337 0.0430670021997164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.130362650679392 0.149333870929868 0.0545316882626433 0.0868579968279066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.149643317967844 0.156772398581515 0.065442547428164 0.0644491653401262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0555785452969279 0.0570850042609688 0.00847361863405416 0.0114032988478841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0628917304436964 0.0689603454579449 0.0144719114101068 0.0221806721687831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0882951944597458 0.101536846508163 0.0291286308254754 0.0491949933561545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.875240521320802 0.908776384290866 2.50768356900761 1.88022255680763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.329250319196477 0.343147890550567 0.302942696523809 0.307276107764581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.18790483780901 0.193789723661322 0.0905032766175416 0.107493215297343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.139724807010555 0.145020937621905 0.0458377594545356 0.0691595555192304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.532315882574267 0.547182245091422 0.93348329504579 0.737272275605871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.169204097651938 0.170108024743909 0.0867083257590142 0.0847560533231613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.126308935377083 0.130972163864506 0.0514895313256585 0.0604759610985148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.143000680061755 0.158412310380406 0.062016461364764 0.095382542563104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.444344618225206 0.462242491121474 0.634612019104024 0.512776940896279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.130262287009966 0.132529137721768 0.0449820207806521 0.0493944363249351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0930817599744188 0.0965382280702678 0.024599993066468 0.0341960840436506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.103016503647596 0.113482127434673 0.034284796836844 0.0554504062516224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.47353509227534 1.50971763142394 7.60057547806372 4.79688925746595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.544639463680099 0.567081533221703 0.860937605843987 0.798812604055343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.301817141049672 0.312099735715765 0.242162011947743 0.264757311544685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209135101247149 0.215558796748559 0.105867929813725 0.140509189078656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.899983562589544 0.920091276212094 2.88779371345449 1.980823032577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.268385242345894 0.270676416780245 0.224353216170637 0.209038027123565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.167167113939549 0.169927710488294 0.0862496295802613 0.095857539253567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162369002542279 0.174837574874729 0.0774209447661865 0.112728841205692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.752622957512694 0.775157398071987 1.96322106293235 1.35134882570266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.211554928564598 0.215193130218554 0.125479611821326 0.121179985064484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.130094982901956 0.132846610075557 0.0465755676971698 0.0567959380640723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.123560350351164 0.132418107519168 0.0455517997888306 0.0679631718162293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0353854088947152 0.037523154302307 0.00653818969197955 0.0134757579119385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0340062326981479 0.0290914124493676 0.0102338619865974 0.00989185142115094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0524612519663628 0.0444321720831635 0.0225493344464633 0.0136352935422397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0738662558220275 0.0653375710412695 0.0372515289225756 0.0206382132063754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.050456178646708 0.0436899133573124 0.0205175683195276 0.0144381964844365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0752150619310312 0.0598406659412521 0.0571922104944597 0.0223150835177983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.117366039246943 0.0991069395349509 0.107079200809773 0.0469860991518532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162044703597407 0.146688659430327 0.166626628201478 0.0861141873340775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0264430495632915 0.0244462057715941 0.00452719489571621 0.00858795129320051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0504261625454543 0.036074345506052 0.030870132139293 0.0117275196356099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111079044656162 0.0752771582892883 0.157700872604961 0.0285305962913297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.203473119856525 0.129269613669929 0.623972764580741 0.0712224511901962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0441171556704665 0.046313924742112 0.00811769112000537 0.0152293967214203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0367049546631828 0.0317594603372325 0.0106249736029107 0.0101448508759658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0533132149862101 0.0452396529704131 0.0227060102037971 0.0137124305552044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0741300767792036 0.0655953692641749 0.0373080022330461 0.0206691576208917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0546275699870876 0.0476239677345965 0.0214296617432884 0.0150921473334108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0757737399154713 0.0603931441884654 0.0573260745483511 0.0223732526810839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.117443660895261 0.0991619784868213 0.107070263160454 0.0469638506496815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162033264542461 0.146648056594216 0.166594768619314 0.0860499807461975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0303153535649981 0.028427970257365 0.00509854330137982 0.00900950013942584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0509890395944313 0.0366258103757255 0.0310101019209022 0.0117668358816324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111228149979441 0.0754055648327647 0.158026094969238 0.02852464315214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.203567563943524 0.129300690523132 0.625715752047644 0.0712320709481457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.061708937527318 0.0649086956126305 0.0127431884141723 0.0204006858758465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0424068044091876 0.0376195429205733 0.0116397028527338 0.0108866761223635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0554165947817947 0.0472441428921692 0.0231533023076304 0.01394865217693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0748906306254985 0.0662946158593924 0.0375097431075056 0.0207740510764603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0631917202501954 0.0563159739174909 0.0238084199026501 0.0169857305626823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0771561010097702 0.0617548771089199 0.057720548837841 0.02257034191131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.117734398683267 0.0994227275585655 0.107153793305426 0.0469886310250553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162091927459371 0.146658036995462 0.166603582300229 0.0860065647073775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0384993504028221 0.0371587445163572 0.00661490064950327 0.0102654654181634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.052369158998694 0.0379673200509756 0.0313438186846061 0.0118717268095878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111580570850228 0.0757115797337404 0.158464607769929 0.0285396519855655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.203740289109099 0.129390490035138 0.627685162175408 0.0712629895006544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.103481567772654 0.109671406679642 0.0309695468701061 0.040174638691085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0562964490213521 0.0523799044620129 0.0150103099984496 0.0137067022905228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0611477320225623 0.0530322646689492 0.0245816423678909 0.0148286856893146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.077292798188008 0.0685980598251148 0.0382178386986057 0.0211756285597634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.08500218090968 0.0789795038665199 0.032272970713561 0.0241826302461678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0812031127609799 0.0657718010399991 0.0590364917487006 0.0233085785587818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118742790461684 0.100352527033138 0.107526070825573 0.0471536864818405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162383026330867 0.146822287508768 0.166726741929617 0.0859806179483027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0586395351502937 0.0589423496787277 0.0121025634362664 0.0152263962989927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0561361747122685 0.0417684288290721 0.0323417094778055 0.0122563465525423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112675750883256 0.0767082824239746 0.159593028296436 0.0286271066502464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204263571483129 0.129713195335672 0.632279749143957 0.0713871991998478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.284578452858003 0.302809438484043 0.232467590327048 0.232077661163789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.120382725585314 0.122260214521572 0.0453629301390222 0.042913621894483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0909943570747494 0.0843339421574908 0.0356932294768513 0.0234469564097315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0922068607063363 0.0835472577802018 0.0438287975984696 0.0249683308199949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.187899824515639 0.188446602990816 0.115538765579951 0.0965750374856933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103960351293301 0.0893364115213757 0.0693026820342388 0.0304182240399199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125843691654337 0.106876680591681 0.110891937498908 0.0490507673138959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164854187036069 0.148749931440713 0.168172306880278 0.086560403035489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.149340204326906 0.156865768966964 0.0673836837202308 0.066521362728374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0761535620387702 0.0627879236074128 0.0394515612591278 0.0161009971329295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.119757020337044 0.0834382973177846 0.166522355472291 0.0296707258204125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.208064338281734 0.13249978141194 0.659861004630343 0.0727298336236548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.471119187971406 0.498111250270646 0.665086500489581 0.581432598414276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.188409682193999 0.196430821001593 0.103451131085688 0.100303640251831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.124444411265026 0.12076666253858 0.054726594077157 0.0403763399729166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.110549706484151 0.102615879851546 0.0529817319793555 0.0320959107066386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.297633298221819 0.305116201887882 0.283743063493529 0.234621023073958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.130722189272047 0.117890681012434 0.0866397167700904 0.0440577561600707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.135208443380711 0.11608405811562 0.116442814691628 0.0527692505765601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.168636056010884 0.15191549590653 0.170800049805586 0.0880857133388381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.243003098318815 0.257268323562997 0.180154039344728 0.163745953619456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0990646557539735 0.0875171685571071 0.0510017030490695 0.0237092902008623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129090346285062 0.092455812375687 0.176751828615598 0.0317965213582353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.213873369082585 0.136884959910142 0.705421811665484 0.0755633145879484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0865554655679914 0.0929080236220984 0.0231547896170796 0.0321304345334893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0502301722535912 0.0459740486837674 0.0135494965003644 0.012442834712761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0586197531076255 0.0505756772390449 0.0239199149782028 0.0144400342448606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0763143582729683 0.0676678259877601 0.0378631075861524 0.0209987341557677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0763941252714488 0.070132871372357 0.0290885043751653 0.0210170530753438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0796003351443223 0.0637761962548932 0.05870539927822 0.0229570036745351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118451321777016 0.100043778017728 0.107430304711284 0.047221241013303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162328783467926 0.146950535510769 0.166596954296039 0.0861870416391051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0503268130962692 0.0507301016192277 0.00962238241265494 0.0131532710377013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0543221163734675 0.0397914146637889 0.0318436573593979 0.0120060447943242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112302315398509 0.0761625773541367 0.159514129300472 0.0286133944028864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.20383963310015 0.129469787337553 0.624600604905352 0.0710477762869486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157005862335872 0.169229731788062 0.0725498117706952 0.083920652123667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0738604844965535 0.0722637709982747 0.0215217407177081 0.0198364298217528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0691954468569992 0.0614001360218051 0.0270563883000742 0.0166525233952455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0812247124006137 0.0726924826310648 0.0394197804239664 0.0220214949931591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.115860382647328 0.111533344746676 0.0511228870064918 0.0396627580641817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0874309344191217 0.0715118389870964 0.0618858820586649 0.0247791391327581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.120835928574601 0.10212672848465 0.108435608770401 0.0478475303624178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.163100740281499 0.147653316933619 0.166869374181051 0.0864791715618684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0850129072427182 0.0884701965887854 0.0233715093977083 0.0263431363224306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0611445600098733 0.0468231756841697 0.0338708005833396 0.0128839429114998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.114659668036518 0.0781562939156608 0.1621621779599 0.028893308808043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204828322849021 0.130121988576374 0.628024997542977 0.0711139919496585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.304060529754 0.326313836329309 0.279052085394236 0.275259730961507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.125505940020453 0.130098933201258 0.0508357622975984 0.0490685050405671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0934930981707249 0.087642444737497 0.0372896890352947 0.0251812959818108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0939078840237837 0.0858459735270968 0.0444783351232636 0.0257628155067236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.201923831875985 0.202083773101663 0.136294214241212 0.111121315477042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.106719766427486 0.0910811420943552 0.0720227922975564 0.0316379968543236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127086786388536 0.108297086810537 0.111610866791298 0.0501243924218941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.165492172727133 0.149759807554643 0.168053878161932 0.0875969236483075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.158707617040917 0.167861497730412 0.077724656293581 0.0770215152681316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0775419192105403 0.0642538685565757 0.0401904237533156 0.0164285969398696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.12093007055015 0.0839266810216847 0.169287406900742 0.0300044819992778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.208025109245219 0.13242514677607 0.642935958214055 0.0719779857489272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.913249868727376 0.956970456440033 2.81332505020074 1.99606845405257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.348078676227005 0.369554749621235 0.361291372591289 0.342880986596427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.20378751431296 0.210577570143043 0.130618830936429 0.114469448153857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.156616844247336 0.154538100035691 0.0865436256078639 0.0632925352467293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.566490610109727 0.585237239701713 1.11071935817134 0.808050307854729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.200066394980329 0.189719019896879 0.162072063234539 0.102150285501711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.162187614663652 0.145007282440985 0.137826369396216 0.0718922644917355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.18117731960915 0.164955223468424 0.179600745326118 0.0988208774166471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.465509847033629 0.489474546280898 0.717627822461666 0.546477502730283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.153763336012353 0.147425918141122 0.0949136720195199 0.0549589758876338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.155353027792288 0.118417731478006 0.221436640409166 0.042128438969993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.232131257546338 0.150051363774501 0.88333993926504 0.0925229438205367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.53788003413309 1.59166929330039 8.43566984912848 5.08833063135078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.575705475362805 0.606823053437321 1.00562577031927 0.880865800528811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.322056770077768 0.337985177087512 0.311341810020612 0.285840024887036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.227099752489896 0.231924904376639 0.163159335694057 0.136421255532745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.952567736458451 0.986004382041028 3.33997600705875 2.16406606180126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.305260831723727 0.302011558057332 0.34510902060176 0.247209551558392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206253490131679 0.193144215810276 0.187845302590121 0.115596312812274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.202973514510787 0.188607324300713 0.20253747081992 0.120931215908302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.792310719450005 0.820519278448989 2.22730502598336 1.41410837073044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.238172274821753 0.238002753708936 0.206738482670263 0.133829350006342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.198925008737077 0.163090361874706 0.326623364759691 0.069716948718668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.322070731535041 0.306285156023465 18.0062649049729 108.85616821777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0338776229995201 0.0370076308921038 0.00491288794278623 0.00760400307389282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0219249736770455 0.0268537301553727 0.00223174434865398 0.00451597670009965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0308006497652648 0.0422540856797238 0.00491707221197769 0.0112533393810291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0456102198565107 0.0630456621917673 0.0107280053996255 0.0229505948673655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0425070886448323 0.0443154345925517 0.00889773343022124 0.0121038549703304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0432992219838737 0.0494673816280351 0.00992121575866131 0.0170681538016711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0657042341235817 0.0780142070160985 0.0233151090095617 0.0379838396855522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0949168295505082 0.113439367570534 0.0471447106462946 0.0715723296177097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.027892361509695 0.0311219834342306 0.00458928889116907 0.00472510073057914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0294470855120146 0.0422020162275987 0.00558068131144225 0.0140507632344904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.061999445241842 0.0927501652814697 0.0331855920061976 0.0893240022494426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.257377546123943 0.297197714840828 78.130070825274 50.79152495936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0434006221852927 0.0458711549441056 0.00658670881118037 0.00933784488930102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0247815304801912 0.0298402452003805 0.00255292370805942 0.00475303543354883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.031818306731841 0.0433795425627198 0.00506237189496573 0.0113251797772541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0460309712115937 0.0634781195162747 0.0108109350036996 0.0229921306275656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0462084393492416 0.0482386892018991 0.00963677436874896 0.0128850599632697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.043770450094861 0.0500499489608995 0.0100371805747871 0.0171271467169787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0658024749438783 0.0780986939552395 0.0233581661211668 0.0379810507771257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0949549323325915 0.113433168072703 0.0471644238967779 0.0715738247356152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0318363544511239 0.0349798054349762 0.00515886849257208 0.0050912734050201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0300239208484119 0.0428752410442518 0.00566012959527884 0.0140788841581866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0626164123294935 0.0935435961456973 0.0353250724810849 0.093887413180485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.278638658412397 0.314530202516381 103.139261159157 66.0321228578336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0623357670209785 0.0638312964019611 0.0113959238628935 0.0142607903217933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.030851802391237 0.0360453250272517 0.00339462847754636 0.00541217467771294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0340886500212256 0.0458837846501652 0.0054144746230474 0.0115182678582417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0469977905147915 0.0645876639762546 0.0110071256867946 0.0230889856075354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0545974092389056 0.0569541915857294 0.0115787211470241 0.0149002080744933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0450656077733886 0.0514346859288453 0.0103187470966422 0.0172847667694955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0660632300951308 0.078381556703476 0.0234495542029042 0.0380049148293702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0950459086964738 0.113477793066568 0.0472067505629508 0.0715870507449392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0397557267859592 0.042961845643351 0.00663729995627149 0.00618242482122609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0314340411503785 0.0443913483732611 0.00586156246605859 0.0141612869783766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0624931705058941 0.0931838926124799 0.033332468009169 0.0890136749539386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.306728539979603 0.337611099192889 141.447382403796 89.4204020608781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105867815687074 0.106377847174239 0.0304548820932227 0.0327226429111747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.045512973688932 0.0511377520353241 0.00638128977346126 0.00795383885202659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0402806732624813 0.0525261405582268 0.0065720232805377 0.0122469247889366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0497885335149982 0.067787163202425 0.0116326017171125 0.0234266839625689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0762728894108145 0.0788939996448519 0.0187592424493944 0.0220505745607629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0491435627309379 0.0557587161349834 0.0112773571053135 0.01787900381094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.067045796456911 0.0794284572733847 0.0237732885531336 0.0381282930654907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0953698847670482 0.113698673821287 0.047354634466071 0.0716471651278629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0590251742931433 0.0626696176589965 0.0119525785521175 0.0104847623019389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0353764900728039 0.048452121112606 0.00650989253655347 0.0144757894332798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0636872341436488 0.0944292034990143 0.0336964002708016 0.0891499471024616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.402110590421105 0.41683601091081 316.860012239579 197.496296722494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.29258839634617 0.291108368439366 0.240443450349531 0.213213526193883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113377842851914 0.118638104724663 0.0359924788614134 0.034426556223166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0720349325889462 0.0851757886228157 0.0163336165375398 0.0197896322110509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0660958935282521 0.0856269985077018 0.0165040559470769 0.0266496688677222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.178575700989529 0.18196788822645 0.0929550608807531 0.089779381437004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.073051943533639 0.0800399238357324 0.0193307296766731 0.0237301291043597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0747390762006334 0.0873063918678739 0.0265374181824149 0.0395507548336181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0981318454776708 0.116341420150954 0.0486748243187396 0.0723419366328714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.147350111859929 0.153469350040333 0.0656969237281786 0.0555676213558942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0554733587819932 0.0692115910238948 0.0115600461705947 0.0177496387101912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0709164621560393 0.102253428829109 0.0362151061460588 0.090794518117283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.411058703919545 0.551684736828612 267.391620447296 536.244922829956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.481890072559898 0.480775692384056 0.679382176029842 0.550007258004666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.184611612981801 0.189695926673935 0.0946157177654073 0.0869364880527025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.107757630484708 0.120561227627808 0.0342039280089263 0.0348468321063473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0857987013995542 0.106250622723216 0.0246989753610726 0.0329060858247623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.287340314395012 0.291843333330444 0.245917751144006 0.217331788853629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101072492420298 0.107934322007423 0.0337130063760673 0.0350976313792586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0852850057211706 0.0978348483227228 0.0311534945420813 0.0423594387423312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.102689829540333 0.120854759798187 0.0510367035621735 0.0736868772201133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.240136955490692 0.248830758711773 0.17550294819118 0.142861493911183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0783433140039228 0.092322015977668 0.0204460069650098 0.0242492478964854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0801487326330551 0.111914004751906 0.0402979018059152 0.0940870160244874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.301247994209416 0.370267713973884 69.3286031952047 93.5918596415839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0884442789068204 0.0890994294884929 0.0219501109277202 0.0247344102629128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0393810293552802 0.0445422795911079 0.00506123976741697 0.00669073873447632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0376999679733843 0.0494189798435152 0.00606296695373441 0.0118359476882599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0484791305361914 0.0662067649985909 0.0113251506347097 0.0231773342858911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0682256931816595 0.0697084902768171 0.0158701478588695 0.0186818195079332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0476477382625493 0.0536684820094449 0.0108733572042508 0.0175447175293107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0665708148037311 0.0790734685653232 0.0236067722894425 0.0380882715286159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0951387302598245 0.113719953923356 0.0472434031994259 0.0716220653666882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0520184648025606 0.0546143099283292 0.00983873688463384 0.00869715508528476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0336685305444022 0.0466100435369661 0.00623552107908741 0.0143406298192986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.063608033695243 0.094449380464017 0.0349165671586757 0.0926748794316164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.209934565838013 0.280356219354375 29.8784865679954 48.2362333082854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.161991827588621 0.161929267958785 0.0732102444078808 0.0729191662769285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0654556990784734 0.0705273879231073 0.0127078650853593 0.0132885268012382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0490931491774639 0.0614572168104656 0.00874996795903187 0.0136650015153617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0539540752908537 0.0722423325942587 0.0127111575291564 0.0239170913557159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107540714612913 0.108951398766685 0.0352426400424114 0.0363488439332236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0561173702057886 0.0623173635545223 0.0131742951363394 0.0190156429971981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0689013902893237 0.0816298492029311 0.0243805041073411 0.0384645694962655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.095842144469479 0.114534045090691 0.0475643731499233 0.0717952639413314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0868642402575377 0.0891972112070086 0.0239517723422717 0.0204949809931435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.040961504394266 0.0541913057555276 0.0076916604988453 0.0151789061249601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0664489297038847 0.0975076424749553 0.0394882846942616 0.0999291884716682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.206588938459732 0.290353276905145 30.1232090684656 65.9426959287644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.31340154166913 0.312248632252579 0.284353363069119 0.254857383319018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.12152961563651 0.125824298318324 0.0423323362123578 0.0397846526428712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0756864909203629 0.0885857712438331 0.018222897789419 0.0211226988330682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0677761193493439 0.0872250202466938 0.01726559079585 0.0269217334119405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.193172505842007 0.194794201760315 0.112897605540789 0.103188950363223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0768066575733801 0.0834182594264096 0.0211038722247403 0.0248319901279812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.076035087351228 0.0890200678817804 0.0270555991408894 0.0399814350944766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0984891461957661 0.117374623924224 0.0488257678695097 0.0724958824078114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.160726665381058 0.16313843395157 0.0794678343146915 0.0664940021922237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0581201267524383 0.0718689932033825 0.0125610159145706 0.0185177282415438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0736295082502124 0.105074365828936 0.0543749956896408 0.120961947132223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.260726490269861 0.386671173238277 99.7683021368067 256.580697213848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.927018307658127 0.925716685914042 2.76401390660752 1.9655074484082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.352951922345646 0.356578843547644 0.357232771089325 0.317215478686046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.195223932409013 0.206284050264631 0.110745401799146 0.102077510568539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.136153044625429 0.156951974046783 0.0573552081765977 0.0597952743601885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.55768720653684 0.561830243356372 1.02753732608473 0.762249557788362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.175361902468486 0.1813549571525 0.0986380455028085 0.0879726996288728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.11582121731395 0.129021814989823 0.049847807911762 0.0565033563096713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.117588129054801 0.136857238957709 0.0603013497865286 0.079954018160567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.470291659133525 0.4740471659184 0.726667632626725 0.517014988912288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.137553416383653 0.151118758083451 0.0595385849641675 0.0540854196723171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.108403027298977 0.141837511678513 0.0924386210107465 0.15789878808857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.211599182502813 0.267776124638994 19.0785178220343 19.5140424758621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.54829299129516 1.54699093799618 8.14627852455307 5.0946119745555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.583453235238948 0.587726458203287 0.995666814512663 0.839436933119809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318260247584115 0.328201489410784 0.289268442728155 0.262306284419946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211263116549345 0.230941023704603 0.131206358916981 0.126091169573489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.940940076341936 0.945065937391293 3.13295013803535 2.03582488670366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.28404842963329 0.290066558695303 0.262243993189421 0.220611933571129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.163608909672121 0.176376495066407 0.0930704500186208 0.0921825660104677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.143460914823263 0.162945774801244 0.0813022019626545 0.0960703545329806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.795334946885195 0.799764367600392 2.21322380761225 1.36379408377709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.223424284148539 0.236609179360093 0.157362414941549 0.125541340665377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148828122298225 0.185339725299953 0.120164856848955 0.183526313100637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.192620851976036 0.252166307089904 2.69690865091136 2.75693110301857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0379721422418551 0.038883753423419 0.00454797826399008 0.00648655836058433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0229548730125043 0.0298095070728049 0.00143300563543976 0.00309383144149673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0298278213275528 0.0427228950619293 0.00238711156609493 0.00695151740807058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0444453827104638 0.0645654593670302 0.00467911513991189 0.0166470677275236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0469146228353971 0.0542728811802562 0.00703723305557212 0.0096221787919204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0494333727575943 0.067449675374279 0.00822910578757696 0.0132250675349945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0722394193060555 0.104204298147809 0.0163101176012781 0.0332540157652644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10721393246704 0.153218506796637 0.0301125715452877 0.0751825152757593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0236389510486895 0.0251320244871918 0.00206411993886418 0.00201008916856463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0205095152371518 0.0291346905211922 0.00119396393379138 0.00333557918896811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0365791782123746 0.0552014166907241 0.00378029139141291 0.0121805055515861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0559267200566577 0.0873798650319219 0.0085998936466129 0.0304907490244049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0464093630893966 0.0462884369316114 0.00618053637365182 0.00811339896557522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0251081276512797 0.0316406719563404 0.00164964330039592 0.00336555101880569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0303768670026851 0.0432390027031353 0.00244901516360821 0.00705226062538677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0446185708056408 0.0647157076120241 0.00470451781632958 0.0166913170659623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.049771462141765 0.056348749182876 0.0077253646358032 0.010138857858506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0496194581953652 0.06769207207369 0.00827795623337505 0.0133007019335348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0722919268440156 0.104268046302583 0.0163311682742382 0.0332860363616345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107214043251527 0.153211133148681 0.0301187635348119 0.0751882593766612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0276657212693413 0.0285745140328703 0.00264763015945645 0.00246596993455351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0208665553705425 0.0293744535782372 0.00122319354736119 0.00336557670331138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0366307126445994 0.0552176618241958 0.00378675293352495 0.0121793723259731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0559184463059046 0.0873857644787033 0.00860377571647632 0.0304865015580153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0643374270025103 0.063372966797664 0.0110923330323919 0.0130699026250477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.030274062366416 0.0361215510315731 0.00229417936581523 0.00412871963967417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0319708512283772 0.044590741294771 0.00263696588495662 0.00732846768745365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0451335307054687 0.0651287355606995 0.004778159519127 0.0168165991715167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0570738431359364 0.0622233392633625 0.00979898725616138 0.0118508217429725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0503937605429908 0.0683603049375544 0.00846562452925489 0.0134963207449628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0724420729135188 0.104404451361517 0.0163852672850063 0.033352869474025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107235257333914 0.153231431484328 0.0301372243462746 0.0752137099777365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0364807723546882 0.0363374969144059 0.00423240354057614 0.00372392695387467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.021944481741961 0.030195607428832 0.00131578902088704 0.00347562117264385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.036832287318158 0.055347858821444 0.00381232555611196 0.0122045748620803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0559769611747648 0.0874430255155638 0.00861839039701527 0.0304983693539816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.108183345225045 0.106122089892086 0.0313065874955141 0.0320927392908974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0444655895627894 0.0489795851247331 0.00487672485155685 0.00698284461914104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0371520275428557 0.0489460673547204 0.00337406868984941 0.00832954935213252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0470020853171118 0.0666342829329067 0.00506619334493605 0.0172929472250112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0786986743612825 0.0809445760717891 0.0180529777252351 0.018708965002865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0532467612455141 0.0707113198086174 0.00921987811867498 0.0142200062438719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0730584310817445 0.104877863931628 0.0165965632593458 0.0335873595797156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107342526691045 0.153337654487824 0.0302111875675403 0.0753178856773472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0583787320265837 0.0565882847303966 0.0102799900640184 0.00854644231861045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0254672944966689 0.032974541400731 0.00168107872004927 0.00389829100204013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0376354385719288 0.0559017049844175 0.0039192648303504 0.0123271600996143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0562311379055403 0.0876814307389658 0.00867569735217176 0.0305632686115096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.302042020895421 0.294819807156886 0.264729984623295 0.217519713117443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113858152280398 0.115015671294048 0.0335085255236872 0.0352191480157765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.068870299590919 0.0768548139261434 0.0112843841994966 0.0175735914737054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0613909984937235 0.0784965774646326 0.00810538199662896 0.0217470977465055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.191405850635972 0.186587972531206 0.109084596406913 0.0903802670959312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.074315870617633 0.0879249428910567 0.0169081989503679 0.0211177430698213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0785411907986426 0.109118629939717 0.0186916298929714 0.0358115304340421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.108860465392964 0.154626016724137 0.0310395276866657 0.0764416537421552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.15660690547235 0.150531424083644 0.0748503355378022 0.0570203441220625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0472125450064407 0.0515432866921822 0.00562484708112628 0.0079574799886796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0441789693324703 0.0608470967443219 0.00504196749144715 0.0136244096147525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0588343361391067 0.0896515924187006 0.00927324770412746 0.0312235670255073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.501535706989139 0.487967755358075 0.767482376583226 0.55925929573452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.186919891271834 0.186553428327824 0.0927959375420597 0.0895087087925749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.105719986990759 0.111398396701858 0.0274657005147681 0.0347874955910374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0814575910386105 0.0960111008672025 0.0143458204354355 0.0299160198906091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.312253093878499 0.303798649458163 0.301025218300788 0.229154602167146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102834254263941 0.112509180992916 0.0321148534852253 0.03449975008082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0872804299427711 0.116005991897551 0.0226767614525914 0.0399307333312777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111795382078813 0.157128967419663 0.0326990146429221 0.0786401495479332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.257833377282487 0.247793671296672 0.209980599323164 0.148130862143182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.072635792766571 0.0746392283705474 0.0138026994014652 0.0155096391893072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0538479806812296 0.0686617609292157 0.00729966423208506 0.0160507048869967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0633898808496691 0.0929946281909254 0.0104620830043128 0.032479635739882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0912351234461287 0.0873080029384581 0.0221248990699036 0.0231061194143323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0387442769352865 0.0428043678167691 0.0037336521132549 0.00553250541762041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0351600952456451 0.0468421111177543 0.00305762483899652 0.00782767446669531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0462586758003679 0.0660235345260266 0.00492903533457122 0.0170768378901899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0699115943625843 0.0719440045274248 0.0144011593254465 0.0151448089792825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0520171722140154 0.0691855189177436 0.00891105799344209 0.0136939644473485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0727821602792936 0.104556360205629 0.016469613813676 0.0333845688971668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107362017417117 0.153252315043232 0.0301534957580605 0.075198409883332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0481265032824369 0.0483727263414847 0.00707639278744905 0.00617611862759314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0240317385555431 0.0321858211719474 0.00152397947784468 0.00377630275919285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0374737015255364 0.0559038419501942 0.00389083325039269 0.012364568514343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0562180658745527 0.0876401390900039 0.00865475796234329 0.0305944486937199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.167558520376123 0.159535173604185 0.0783295459145926 0.0702560814428443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0649677884341668 0.0662865439758904 0.0107959665465128 0.0124404160935885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.046098016742322 0.056034269608698 0.00504860149416889 0.01023971191618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0508174561176318 0.0695615586273563 0.00570097508431583 0.0182566462318337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.111763360005041 0.108510560289325 0.0369940392204467 0.0322007798902093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0586319226595031 0.0740273410904094 0.010931670707378 0.0152552644395032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0742957313735693 0.105666469057079 0.0169807301565976 0.0338784452045664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107762877850918 0.153546924809375 0.0303352596756744 0.0754153422500316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0856139796383201 0.0845002814076 0.0220502428582433 0.0184319751989311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0312649050880636 0.0385728566468596 0.00248551852128101 0.00490222584800485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0395374860138386 0.0575276294052969 0.00418934262378852 0.0127915557166505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0570434853811517 0.0882942614058911 0.00881281567891488 0.0308415976262577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327115966413421 0.311102115835498 0.317527431818342 0.24713380390652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122354902583675 0.119916799016422 0.0399851499936587 0.0389159538973936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0733578210020599 0.0797750451469985 0.0131018107390867 0.0189263013037934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0642115527314742 0.0804768970504701 0.00881190373863557 0.022523607989426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.20674622193318 0.195174119416756 0.130889707010997 0.098800441918827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0780250273523577 0.0888755920231481 0.0187855261843883 0.0213260534418329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0794529858124351 0.109443750863382 0.0189795908985361 0.0357874788948332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.109317472775951 0.154824016189564 0.0311208277330535 0.07638721482415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.164631305512198 0.161608087104454 0.0832589231810763 0.0654315682500089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0497323706811544 0.0550608929278552 0.00638979756278661 0.00890102314307196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0457425116664177 0.0626513998783404 0.00532369481943594 0.0142559825372574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0598450223214268 0.0905800769547251 0.00941773001644694 0.0317036992406831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.967289426225371 0.941022975325888 3.13438496336882 1.94811756382952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.359453449782964 0.346830594327969 0.36956693573413 0.302039254609186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196602076852831 0.194828764955792 0.102668061524536 0.102652506393725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.135990587963624 0.143408685359635 0.0435890164296762 0.0613099444576553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.606404501776932 0.573502475919897 1.24955691170137 0.770061050143345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.180240019170128 0.178953704237926 0.103690037657746 0.0857530413066478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116062954257592 0.138102654970884 0.040079247000006 0.0550690106243744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123850619971451 0.166232366298207 0.0400459795246697 0.0866797812307582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.489252841986024 0.48233723847024 0.816954652310601 0.518285161739315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.134303915030128 0.135772836188613 0.0511962233322688 0.046845180656613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0821282082440825 0.0951561107247749 0.0176237328494363 0.0270120335071419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0793533900810138 0.107722726077127 0.0158313779914805 0.0392223685967019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.60819480182751 1.58850877392214 9.23974565906255 5.15223101658939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.594715806910758 0.575653522069483 1.0507245655669 0.795050999542469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.322449434409744 0.315987932886529 0.286147906100684 0.259357571216872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.214238378591609 0.216402969581774 0.1152695920983 0.132380218146481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02082475292334 0.977993264696922 3.81919407252594 2.11986072862263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.296379058238914 0.286290957477139 0.295538934355831 0.220307861347027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.165936062073601 0.180677685795852 0.086562198624913 0.094497170447523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.148130742000809 0.186139273002162 0.0600920711624582 0.108114923646578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.829731503940879 0.82354086245812 2.53331508757567 1.39310568859445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.224628023638354 0.224827623105511 0.152038035542567 0.12010523335518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.126409976647922 0.137246975090403 0.0455495378808183 0.0509846435655597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106360734513778 0.132993491314532 0.0306566500919814 0.0535955705304928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0566448167400445 0.0653948216472713 0.0189541617173916 0.0212235328194192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0684972493918458 0.0939650724266218 0.0332818268202282 0.0264843676997711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.11012991274386 0.157119722322311 0.0734182235430843 0.0535008489024759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.148880965064263 0.218554876886275 0.116949159285453 0.0891996211900279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0844915675790094 0.108786343294656 0.0491042155892113 0.0572530634628791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.138162242834186 0.195278432534965 0.136501963173658 0.118943059982584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.205867033955666 0.298201280879246 0.259850533811269 0.227980806641792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.270768177972373 0.398462267224367 0.398123912711698 0.392961518752915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0564868187551408 0.0662430392685752 0.0250151357047481 0.0187213788173115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.177994229721628 0.217825330092125 2.77897387363845 3.02897511862476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.813655809858775 0.829780814679109 398.086969935432 328.499438572773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.37360971616951 1.47862802274762 8292.97590821133 8627.43018128004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0638892102316053 0.0725200382103804 0.0207939257641466 0.0214120114635673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0700739302956112 0.0949799769944528 0.033765417344769 0.0262832664569553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.110336447177588 0.157121222530655 0.0735513997346261 0.0531871194528853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.148987308633424 0.218476398012839 0.117058737315186 0.0888132067481355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0874928051866834 0.110949904177704 0.050300480530515 0.0548611210099011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13851562499018 0.195240330017249 0.136827003288049 0.117889044345435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.205953817707355 0.298038937858931 0.26001971009674 0.226987445033751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.270821978539393 0.398305457170919 0.398240087768133 0.391876648436651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0591961839563857 0.0688468228547152 0.0256859379808357 0.0187938277083983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.17687225185946 0.216479045454717 2.40903801238674 2.59678113375971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.810888893343871 0.835836582589331 451.148348227819 391.713313238489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.5535239941274 2.98433759183856 10480.3711471482 69953.7091882694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.079159048338666 0.0885254460842544 0.0259058210240315 0.0265009469459341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0738505225618372 0.0981316565563594 0.0350806423056875 0.0268511282834485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111064954276138 0.157468900982723 0.0739737640997142 0.0532657708303963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.14916424772205 0.218508764916074 0.117227391297383 0.0887583485008348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0940864404010636 0.116688310697885 0.053129242487138 0.0559714143409421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.139407174892533 0.195569856434162 0.137489110064429 0.11764111736823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.20615232927243 0.297969255058286 0.260296940431506 0.226578646232253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.270915264288311 0.398187534190949 0.398402529979557 0.391304214924432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0653057151652931 0.0751227115087088 0.0276093415684349 0.0200121315012781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.176363445671429 0.215693887069863 2.15659548450682 2.30424744982615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.831057428846288 0.860314373818559 599.692324140006 531.5330523136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.678696506083417 0.882266782742397 218.695989097736 330.569946813671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116969056781856 0.129734622838458 0.0451001281736765 0.0482197474076581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0843910147535894 0.108150238339477 0.0393580101717094 0.0295670171281899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.113758730404591 0.159259148807102 0.0755119235279261 0.0540013903784936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.149854735752921 0.218853558106995 0.117793912348323 0.0890144124452201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.111966456853632 0.133660212550511 0.0625853579839104 0.0641844451666228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.142158261821927 0.19734847647769 0.139501064651621 0.118323296163541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.20677571991151 0.298246301480617 0.261069877300211 0.226647192514729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.271126826917512 0.398143436776007 0.39876450744678 0.390980965380467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0816776287966152 0.0923655071432403 0.0341696500026006 0.0248008268201746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.176739942668557 0.2152697107808 1.8527536935577 1.9576313564704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.987257266889355 1.01434640616135 1923.77904816694 1720.0841151777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.593644716682481 0.76072089310134 55.9032257453616 71.4123981535823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.290009919017456 0.321003024356015 0.245186427845824 0.264382403699948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139772146968172 0.164834897864943 0.0740487120310667 0.0582661841371139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.133709852474743 0.176399932804361 0.0886605128249756 0.0622378450339449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157009293332944 0.223295180519707 0.123560228465335 0.0925393735682196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.204279737076687 0.226279496089806 0.146976965564577 0.144667813834343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.159308572851229 0.210952510595006 0.153663302019491 0.126374983918231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.211146303978379 0.300852391808792 0.266163842852675 0.229576447811542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.272385110376667 0.398916753531964 0.400753595657215 0.392131013192315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.163066225337552 0.180139227915599 0.0925290645344776 0.0747595388339782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.188346001532145 0.225147516053036 1.74507691318085 1.88834947407145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.12631740020653 1.30064560683812 1781.84800485976 2344.52869405846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.708405232612769 0.939831367299023 357.881287822347 856.295518538493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.471680321623067 0.519918131196738 0.658538686791969 0.666330253623778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.202248362873597 0.231669712836565 0.135549647410443 0.11541332535684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.160107346121983 0.201640858769798 0.110485265119451 0.0782986377084435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.168796914991331 0.232183035057015 0.133925074683717 0.0996017852954451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307346147159697 0.332799760572629 0.308528777161392 0.289711982518976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.181388263895444 0.22982052413214 0.175563173481387 0.139694626606877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.21744080172955 0.305078026220353 0.273613944417142 0.233940174226074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.274395574293105 0.400105951089529 0.403666550024525 0.394166585300482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.251853202512826 0.27668615323604 0.204164031160604 0.173386900037577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.213040836380674 0.250026604018187 4.44275971880998 5.17317227731605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.4604027275353 1.49375965944206 6537.04608336816 6793.26851269484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.813863084979472 0.927572544550733 369.356018809112 308.720889990544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.101890258675247 0.11347438810327 0.0384406252674108 0.0450170731074282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0798982229582128 0.104298619664911 0.0373590692985167 0.0293600864862183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.112610325823261 0.158631905769101 0.0749380022121273 0.0540162796412958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.149564024858722 0.218823513092311 0.117753915818697 0.089332967618963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.103761204897739 0.127405578883147 0.0576207233769326 0.0766506183829004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140893338088234 0.196953656321008 0.138272118131685 0.121491323959868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206533705509259 0.298388861437449 0.261090627950569 0.228666901725232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.271143727188822 0.398445468286093 0.39971135111098 0.392425335828848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0751484156879079 0.08564315829336 0.0313641492569678 0.0230165273618802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.186941272356749 0.226526687314454 5.95714656487718 6.61853267979666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.910515912683349 1.01514013154524 713.42859007649 1050.67604017819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.683836758160397 0.839924145187913 265.385989882105 237.419868738875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.172767618738304 0.186291147073122 0.3988971738765 0.153682464750561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.101999997656659 0.123078577072929 0.114229306328841 0.034954335654673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119992638612773 0.163500375038816 0.0997759885077732 0.0576056249961903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.152364941029613 0.220249554587527 0.128341612222757 0.0926641240702678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.137175529740171 0.165545536375644 0.0847575942675728 0.890276657219514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.147039136350067 0.200938320816072 0.147135879472873 0.124712356548612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.208249259250456 0.298805739013183 0.266139252547648 0.227875844368787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.272139039368168 0.398828691007733 0.40472949227315 0.394375241476405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106004217721791 0.122473358945134 0.0515264891206807 0.263682781292559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.344117970282498 0.356632828380168 193.499890148783 163.381272602632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.838122359886331 0.93220160777669 716.321178711885 887.369519054586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.653226990291827 0.829537895413517 173.630089968891 221.140825266076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.324949568852819 0.34133239811219 3.07796806940111 0.395847065284059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.156432642250389 0.171642419725319 1.53202342135304 0.0805614448103015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.142146162936555 0.178731789381356 0.514098273217646 0.0642314016519128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.161241271108238 0.224945140448909 0.22553334674401 0.0962972108269425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.258731908635595 0.237480632347268 21.8593978270709 0.160916204549675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.16488645780462 0.213079751203868 0.368626106360141 0.13263623958265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.212443968212597 0.302753525376392 0.279656719184317 0.272443927151375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.273401813612618 0.400055376354409 0.410000852220946 0.404297229259399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.26720252690872 0.191340259499998 86.1513900855092 0.121384472386567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.205462371309083 0.236636001025276 4.85506216510326 3.71505152236675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.893156695834754 0.939778609605661 1891.42317777817 1715.4728423759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.836347303660849 0.893880317680028 851.831299735989 302.685713627857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.934642838705476 0.989098845081133 9.04260821302942 5.36075224577217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.371423500199844 0.403057094055936 3.1544574867236 1.05825216648989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237243703512499 0.274679313665876 0.749704712207209 0.260404185641637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207795029101691 0.264547862614483 0.264393308509774 0.145310844696902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.576128246540748 0.644905215945841 6.77562374266071 19.7456492225502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.239898367214584 0.290678340015828 0.392924742912314 0.509766888673932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.23526257967281 0.321789187272722 0.294499967779884 0.284945758902178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.282103058834634 0.405462379095961 0.418675895752962 0.41356237807153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.747337593351993 0.514278487151731 842.439175619218 1.17480090982587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.277069925936831 0.321243020874734 7.34838359099154 12.0532448831805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.659154302260117 0.7295799945028 121.25958216687 156.039371475728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.61382212321451 0.757618753508408 59.6931172660956 60.9094909191774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.54428823507841 1.61110388581673 12.5651593064644 7.67166910906317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.586570842837074 0.635510399578127 2.23238664952335 1.44322733951745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.343263553337625 0.386625888450971 0.59239459956651 0.404293014909866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.267042958253029 0.321214345009871 0.311423769038505 0.219383719185923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.940949481160232 1.00426307359766 4.62394140703681 13.3509657660271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.331966897757279 0.382746692955639 0.526333748999834 0.603103237806924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.27031906041013 0.350708532558574 0.368209732601794 0.330316928296032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.297357262494962 0.415675303729921 0.444726947849446 0.442803338761896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.999384872680925 0.885544808089959 742.767575371561 17.3086248653373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.374424893559739 0.409986953500259 16.4633209888815 13.0303833752696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.58488480118107 2.52348440296229 40385.8079236265 33655.8913665714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.959190939127154 1.17179902785765 468.538975622368 572.079504991819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0250720418595943 0.0247001689578283 0.00170047071857843 0.00213846468572181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0193430617897608 0.0220568439194774 0.000740874366151212 0.00183735333988906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0242365299616325 0.0304576406402456 0.00095569011497864 0.00425951518220125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0389271168843212 0.0472185234213475 0.00206714936583366 0.0105648915781647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0336089256535602 0.0353913794823638 0.00321801797081359 0.00393952048999712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0379704558710225 0.0437470266948704 0.00372236355892245 0.0061167496833941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0494060067823169 0.0599362656333321 0.00549447272189966 0.013370859213341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.075336112501015 0.0893738274125011 0.010200759941257 0.0315055506807573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0153953280600245 0.0165360197224712 0.000630046661833648 0.000930838472090858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.017091291306229 0.0222961538059403 0.000487514980491795 0.0025955578895284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0336332095847621 0.0444070107225638 0.00165633976687738 0.0102533508223612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0555792116980552 0.0725248667348858 0.00398324017297513 0.0266285764027533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0347073519352758 0.033857301986016 0.00316774951898738 0.00370752272496542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.021776318259997 0.0240911382282679 0.00094807124869998 0.00210599693189013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0249094948361602 0.0310656700919458 0.00100698196094418 0.00436491618169694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0391033994103198 0.0473599702883773 0.00208698087312411 0.0106064509878691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0367843325572962 0.0380324078374358 0.00380699050901116 0.00447480964565084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0383014253822525 0.0439488208323908 0.00379042753615252 0.00615938645402418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0494636939915512 0.0599601738549139 0.00550781764431234 0.0133799737169406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0753575118623573 0.0893694733279289 0.0102070464642646 0.0315070322558194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0199882878634624 0.0207201406698568 0.00104736972306113 0.0013527850828344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0175308893851467 0.0226384923774171 0.000505979210108087 0.00263864002627939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.033694488123646 0.0444686172386319 0.00165948983341623 0.0102698945645021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0555966660913081 0.0725388537784886 0.0039841352248536 0.0266379013883502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0542868119116537 0.0529898697982077 0.00772705663798729 0.00834862929702698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0273373112599616 0.0292414489464931 0.00155533572270047 0.00289016139877103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0266105866868813 0.0326266251238153 0.00115463283563733 0.00465177135107097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0395891423935044 0.0477919206717997 0.00214333495071975 0.0107292787635754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0443556885424783 0.0450618889228369 0.00547259472300389 0.00610110455613615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0391008524156148 0.0445842992900465 0.00395226071201724 0.006307259298595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0496117212872617 0.0600701571760038 0.00554059000402035 0.0134170699785351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.075404922363155 0.0893860338272714 0.0102206295547374 0.031520331219378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0294964103868639 0.029749248839332 0.00229048120276203 0.00259393975101742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0186436481927082 0.0236644359344255 0.000563570671190019 0.00277256811604601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0338646695081059 0.0446372148198543 0.00167216260960684 0.0103125197984573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0556391458125756 0.0725772085080513 0.0039893858431579 0.026656603056066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0993160767475838 0.0972612948108855 0.0267431760385091 0.0259798345946649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0424698096481478 0.0434670156967769 0.00406918262303511 0.00580915244958136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0321672921657959 0.0377141718683597 0.00175988923588993 0.00569892562925295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0413233426048279 0.0494490780632338 0.00236697239032093 0.0112078774948928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0658721802996196 0.065891748634278 0.0121675425506572 0.012463039645043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0419245154035207 0.0469650994044395 0.00455507467293935 0.00690422505876234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0501989893581102 0.060554381433671 0.00566601392925051 0.0135762020021856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0755745893530264 0.0894910749920986 0.0102695299069674 0.0315846929195063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0521934000761536 0.0516629343877264 0.00739280105856475 0.00732246511304295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0222912223046215 0.0269914825588258 0.000808195694523757 0.00325786798631035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0344858479193476 0.0452383366215654 0.00172631272351635 0.0104663845616353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0558025318984349 0.0727233356851864 0.00401302591068309 0.0267211284525001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.288350987978078 0.282935463298387 0.248274497790394 0.194395351204964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113901966946419 0.112965800843834 0.0330354633706204 0.034043853717172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0655859769974176 0.0685001955220112 0.00894418302049087 0.0150539572818855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0560517912495176 0.0631346979483147 0.00493199783834037 0.0157671086431931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.172366618355683 0.171648898843297 0.0894520271856695 0.0764564756720258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0630826710425244 0.0659217760016281 0.0107625066016862 0.0130354307218689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0554148731589331 0.0650770170880077 0.00693457053272646 0.0151982327614018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0772114033309108 0.090777118224816 0.0107571175832516 0.032314771262132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.149008848160391 0.147359842309082 0.0661954805462906 0.0535178450495741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0437414072189588 0.0466961257611705 0.00381951068451271 0.00740864841805163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.039907276792009 0.0502860529376809 0.00235551669123644 0.0118622446247115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0574099033781917 0.0741499448639517 0.00428517901633251 0.0273199245473871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.479192343641053 0.470172770590264 0.727012046798328 0.501143167777321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.187766554926347 0.185694282725615 0.0942655635597864 0.0868607608039645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.103580867849962 0.104777499177531 0.0244939056763272 0.0319283664428574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.076698027860622 0.0821259004568385 0.010558829899779 0.0237871985153544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.284503423280147 0.283374317493302 0.257456194454798 0.197016575858239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.091479307250341 0.0926276373962912 0.0235757586832377 0.0249237583995967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.063878911767343 0.0727170736316016 0.00946455034087509 0.0182774724707336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0800867344277956 0.0932768205776464 0.011716921253563 0.033754298528229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.24726296903435 0.245624829296678 0.193539307023731 0.140138390894288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0682776473347128 0.0698717242038571 0.0105057553735489 0.0146546724520379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0484271358028225 0.0578979758551777 0.00374465778973821 0.0142573519507053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0602665300511721 0.0767379709172909 0.00485409217534185 0.0284129616769986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0800604987310377 0.0785012873021167 0.017927254809445 0.0179928503075806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.035628032403139 0.0373274587499396 0.00289088809916889 0.00451135465142384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0297335484321702 0.0354517066421892 0.00149029644104045 0.00523563603206271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0406158898216316 0.0488298929215927 0.00227297921073 0.0110253988148159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0571071787616893 0.057163830537797 0.00931195213965281 0.00956298415336192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0406309583313045 0.0462774719631741 0.00428649264788004 0.00674312751326302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0499652321498521 0.0605098142101029 0.00562706764611711 0.013562419896301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0754940964552476 0.0895345199049925 0.0102590933460324 0.0315947538752235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0432455923482446 0.0426737943243567 0.00513107977874192 0.00527449826541872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0207713005578 0.0256568909386918 0.000707518485441802 0.00306936513414033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0341822474378788 0.0449860919449775 0.00170762954536614 0.0104029234812676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0557038693280187 0.0726666489175805 0.00400305753443099 0.0266969804485552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.153090495908052 0.150620465180337 0.0690776727724903 0.0621650907638095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0619128158870821 0.0625821921193096 0.00965100269144008 0.0117392084766527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0409574192420754 0.0456067944199869 0.00316827466466637 0.0077266649268594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.044850199633783 0.052830045564044 0.0028904609731752 0.0122477386138158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.096746956800225 0.0954433294331123 0.0277716448717814 0.0254018421795156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0470254447014499 0.0520560738237508 0.00585097451812787 0.00835738172585099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0514508523692781 0.0619182783213579 0.0059702905283376 0.0140309636082764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0759187546053005 0.0899354511288154 0.0103966686469294 0.0318074390023945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0812897972962709 0.079499043729638 0.0190882539805767 0.0173517039522562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0281793407829015 0.0324938314962498 0.00141756425226488 0.00424737922450952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.035679282646891 0.046426074024396 0.00186495516373578 0.0107843485532236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.056088431808419 0.0730576753299467 0.00407004076475256 0.0268618298135138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.301191880116018 0.298477462315903 0.285037384878194 0.226979593244361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.118377207441249 0.117686851326354 0.0380211910901107 0.0387534229512832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0681771296562918 0.0712331979246135 0.0103391107424 0.0165578308952833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0579441723593215 0.0649840427516776 0.00550539853431395 0.0165827507757196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.183517345730434 0.180412323758131 0.10614532215939 0.0853540882892236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0658246036833313 0.06910791346148 0.0120855125849641 0.0143571629283101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0563301841058024 0.0664058521188369 0.0072684423521772 0.0156835060864727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0774605680968907 0.0914095760535425 0.0109091079331194 0.0325966113754246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.159317708130881 0.156060890478157 0.0783902371655328 0.0628354298706658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0461629008053234 0.0493930532207202 0.0045370074951902 0.00825554248283647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0407511093769246 0.0511361903220274 0.00252743956742646 0.0121297547963948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0575487619293807 0.0744410707186884 0.00434763167555178 0.0274420884111054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.899366437630325 0.898734452181261 2.88006883323411 1.78324663258494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.348037335690314 0.345616737525548 0.364623443541303 0.299415413789047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188253704196136 0.188048988334243 0.0944136391015852 0.0981392367078847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128169418934198 0.131604582221617 0.0371057237502726 0.0545057598184407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.544626011592827 0.539425383968981 1.07206044409787 0.676694314599899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.163729673715089 0.162417937858033 0.0846221124964434 0.0742228282984528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0907402527122655 0.098217528527732 0.0216191510220001 0.0314078139257241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0906292888098062 0.104242494821506 0.0163589141784312 0.040262867101556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.478385631823268 0.471901065633076 0.817478639562118 0.501309086615554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.12637992126819 0.127684085851046 0.043471716305428 0.0440725794623332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0731316857272939 0.0810429172234138 0.0110366876968555 0.0234889751288181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0705293719476807 0.0860516152287327 0.00766926814988884 0.0327109909641014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.50872565402187 1.50808454513888 8.56749967478806 4.68892667826791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.576333714069507 0.573578733924378 1.05579478491641 0.775610860646976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309680598478643 0.308075142951084 0.270956533905939 0.246399786149513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.204332389305974 0.205362046281253 0.104897405597858 0.12150105479278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.922592300965628 0.918085807843511 3.32341346588587 1.87768669814078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.271927343394278 0.268534264879206 0.253768795978397 0.196835489761677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.136679153736498 0.141527129040034 0.0552670345333707 0.0626862781986688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.112179480960867 0.124917611675314 0.0288358756422018 0.0550683231333604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.812601752446106 0.804421812868121 2.55435840768735 1.3523579436597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.210835551098795 0.21181102948926 0.133332008290217 0.110984585966362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112502667910383 0.1185003655723 0.0318086820622622 0.0436523079750905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0904488314290225 0.104046999402505 0.0157040713322016 0.042372184610135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0207924943874002 0.024475027480807 0.00138415591087173 0.0025894008659959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00998478076661602 0.010260890148217 0.000347193064621837 0.000765993696418815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00925140991164912 0.00802331182035606 0.000333513219658336 0.0006209638416691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0120140668974806 0.0100908389933118 0.000527673346658318 0.000751767702250705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0185752283575154 0.0198467916816671 0.00136581995406239 0.00185138179945587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.014000739604596 0.0132782807840923 0.000832905812313257 0.000949484865240696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0174721199866717 0.0156103879057888 0.00136254714742424 0.00112852277225018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0251611572647428 0.0220610637431934 0.00253338707281484 0.00192719556973239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0117287651871855 0.0133644560300669 0.00054553918971146 0.000964379755910475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00613487890699929 0.00563766535506358 0.000186643908256905 0.000518248091024596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00962161132638958 0.0078915105840571 0.000362107020810804 0.00062319591930803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0152781011544287 0.0128272359178753 0.000767446920928104 0.000953271988961153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0328959224040798 0.0370412844198441 0.00305008531181662 0.00483401139985997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0140282507012342 0.0147337425197984 0.000581315337360063 0.00107254258007052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0109231601355653 0.00996922114102409 0.000405625025234404 0.000711716734604165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.012690453747772 0.0108642082644935 0.000559623580410463 0.000793055460722706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0250490428411296 0.0266041837877191 0.00218907027831417 0.00270107116389671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0150893914035966 0.0143424249165081 0.000923543588730852 0.00102224639006176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0177582139587429 0.0158428797532797 0.00139064880187254 0.00114901112775614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0252315396714401 0.0221349922207708 0.00254730394123894 0.00193714231638576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0174131229953896 0.0196284116399318 0.00100989415769213 0.00149536520088732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00723164266328542 0.00702256391960651 0.000217585672212542 0.000564009278394882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00987933981619463 0.00826606106549698 0.000370468885356008 0.000638920679115615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0153216485660594 0.0129075825902799 0.000770426514686148 0.000958335895565763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0543901474455 0.060090828093342 0.00824476000413201 0.0110164806912561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0217802306960701 0.0233977167686238 0.00128382527013183 0.00195334718103381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0144411408534079 0.0141148812364463 0.000611988274809967 0.000969605944677765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0143136852759871 0.0127917558023562 0.000648602506519662 0.000908148867365009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0374098874573254 0.0401552601358207 0.00456953083488928 0.00516953520328611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0176194226533733 0.0170632883174603 0.00116266065254892 0.00124543603737088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0184414035864706 0.0165511900622272 0.00145717990446025 0.00120674746205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0254406144601568 0.0223712443541289 0.00257825847033861 0.00196421195013965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0279826403112826 0.0311645665498667 0.00239552693118752 0.00299784023663805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00957353555253235 0.00984240191274824 0.000308020223366391 0.000687975914382036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0105782269185589 0.00912521728600455 0.000396795742959987 0.000678047499762746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0155137317855126 0.013173153242955 0.000781334076914512 0.000975548467058246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.101807086399878 0.111746596368742 0.0302736991180695 0.0339854436401035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0395357885507986 0.0431518518501342 0.00415053428606377 0.00536490403485521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0232137820648629 0.0241743733957915 0.00142989146736912 0.00196407903959551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0188538632600238 0.0181595960322365 0.000987720583799577 0.0013391016852135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0664815239582599 0.0720083575233238 0.0142704605180491 0.0145878939925254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0247088764845376 0.0248256902530518 0.0020696834346046 0.00212736158775611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0206989884606065 0.0189658260272532 0.00169988533341119 0.00142906376298718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.026238618978414 0.0232486745495137 0.00269033692487571 0.00206754776090647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0515782657325141 0.0568334077858199 0.00804834785638316 0.00865996887779651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0153722816991589 0.0166855890489282 0.000671418333162436 0.00115959655192126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127176098948476 0.0117493274139754 0.00050130236085429 0.000823027062389009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0162177867022762 0.0141656865587468 0.0008252169679673 0.00104456585733817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.302360210834391 0.323295336764728 0.302366385319009 0.24254183563106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114615169441868 0.124945004829142 0.0365197312348569 0.0392625336249493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0626384924773806 0.0680364275019352 0.0103612493962149 0.0121495613710503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0421491804314068 0.0449241998618559 0.00456440174674604 0.00568375343492011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.19406696822059 0.206430783223757 0.132111227897593 0.104478454135732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0595770762135272 0.0632831271966516 0.01163166929119 0.0112682531737275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0343997637138253 0.0341826296474552 0.00403052602769624 0.00371010730624247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0323303827917342 0.0299103954778218 0.00373540856712315 0.00309867841158014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.151393422399531 0.162076139465978 0.075856663629708 0.0599320664051007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0412614204632543 0.0461501215195994 0.0047518610108327 0.00577657829746633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0245388886696914 0.0257606508269907 0.00163956122828544 0.00221636691020254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0216709754228544 0.0212741002227317 0.00130132243131579 0.00173286337712434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.508546419374175 0.53559289694605 0.915088460611768 0.620269954105453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.191083290424488 0.206450806752778 0.10576817828964 0.102443047391906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.103392513010869 0.112363494678892 0.0288848406562982 0.0317599575194105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0674633020011134 0.0732297896096579 0.0118590076069399 0.0141459876205894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.326745267215516 0.342636579736342 0.401205332950692 0.274684461499488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0968038972908674 0.103824096881651 0.0320277768916138 0.0293765481963411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0507060605433304 0.0523728809362943 0.00864626773217391 0.00832741054419163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0406934745398486 0.0391401111297628 0.00571821011799795 0.00519065332508206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.254850670861739 0.2684219521991 0.231186973149416 0.150842367965031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0683791869649481 0.0759264341694754 0.0136500823999338 0.0143706652799497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0378835882671426 0.0410967675853014 0.00403844587917756 0.00485049566201271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0290272583502865 0.0304920032942075 0.00230499273917154 0.00309325860825366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.081242320094185 0.0907037972346177 0.019338318476912 0.0231118229149656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0318852084391242 0.0348759158149817 0.0027771031768252 0.0037537975627497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0193738556640101 0.0199612388054668 0.00103361297097435 0.00149788536936692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0169023316403146 0.0157935705088382 0.000823669120141566 0.0011295495598957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0533529521603085 0.0601745168063174 0.00920704030815424 0.0107729264955585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0212590286566436 0.0219292872148738 0.00155264572393311 0.00180065193620703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0194932732429217 0.0180335781245537 0.00153379050211312 0.00135382986764352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0257821359031056 0.0228451497854249 0.00259755213365161 0.00202362921671439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0418336949738847 0.0467737759856554 0.00532267589549398 0.00624698243571299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0130387799295921 0.0136916915625315 0.000506782757922117 0.000913725977123398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0117860561342204 0.010513093407344 0.000452469927121785 0.000745138827948098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0160112301607379 0.0136737751186055 0.000804252507080249 0.00100486021419101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157842466083131 0.174106681613379 0.0783132642923222 0.0773713866954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0606584368482694 0.0666510624050091 0.0102786917186189 0.0122432293290408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0341331820719968 0.0366660824931536 0.00313489511121468 0.00399992428582774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0251140718011405 0.0255117265685173 0.00167646840612309 0.00219140754133112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101294618280204 0.112937683699823 0.0344926206668885 0.0344293157325296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0335801394857069 0.0362146326224069 0.00368755898750056 0.00416967371795227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0238106761816967 0.0231625440928874 0.00204858434419545 0.00195239617418481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0275355745071224 0.0248764026774619 0.00282236784576774 0.00228389568268224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0803277231901948 0.0895595649022329 0.020229079896545 0.0208143208858809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0231181847737231 0.0251440393830607 0.00149133200773084 0.00204890349983434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0158413736561734 0.0154879238741141 0.000721174190195325 0.00108792960383532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0178090706267095 0.0158137878880913 0.00092553211791489 0.00116663164929898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.316975194332127 0.340903461257585 0.344476893328541 0.266880700697359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119712854667975 0.131064728335953 0.0416950766317861 0.0442883891563323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0653773392459033 0.0711281031380399 0.0117529001886157 0.0136650912724462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0438571230882478 0.0469763040914501 0.00510955478889716 0.00628616781799907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.203271832839765 0.220562391847662 0.149337781328317 0.119329141785365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0614080804793315 0.0671334401627853 0.0125258198542411 0.0130497116967464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0349265929444858 0.0360979786318841 0.00407676810010435 0.00421077107793041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0327515460210778 0.0307660760149301 0.00370130423536122 0.00323710583102114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.159887805855964 0.174974169535284 0.0862426210588103 0.071983430116248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0443938454543921 0.0488336761056199 0.00561177160315499 0.00638382839228062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0255603057734629 0.0269828211639092 0.00183285166313437 0.0023792678664011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228868446681218 0.0219399092291827 0.00142189810337386 0.00178468566534635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.9852560380435 1.01154438574515 3.77012201350236 1.99732032530165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.36147293895899 0.385238255687361 0.421102486873505 0.338748842818503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1937065520183 0.20903135467777 0.110367976218228 0.107520639785876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.124472385048658 0.135355078077109 0.0434259321199364 0.0469522941378051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.640736110740593 0.660250592457893 1.69478765002757 0.923824455519131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.184138084185381 0.19558734418403 0.126383890576173 0.0994812169863346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0892219681026293 0.095717725178042 0.0283745158391376 0.0265291770853491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0626319315949999 0.0636708216732051 0.013604537363378 0.0124234592630651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.501407093998843 0.525014013024299 0.99543004093887 0.529712492678756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.132524511271638 0.145252222074641 0.056344399099962 0.04768822326467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0694976232903016 0.0767842248969124 0.0153946007125602 0.0150020146786516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0494457120250167 0.053371645380796 0.00733921409583247 0.00788458357797144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.67327423362756 1.69662265031249 11.3235501133029 5.27806344944569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.606960395821485 0.634978973360416 1.25577822299241 0.861148650249972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.322922916247086 0.343997234648526 0.320829508684121 0.275268388134801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206132422507738 0.222683769201204 0.123190613606954 0.121561291260535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11078515616375 1.12101685272717 5.48138313693445 2.5720053197429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.317809461892058 0.331511461136118 0.417950916216224 0.278648366397303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.150946151774638 0.160476972209252 0.090299638120891 0.0738260278722231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0995225871934842 0.102279506985781 0.0384100517737559 0.0310740597674911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.876733740027731 0.902775151081384 3.25674865462246 1.45906244311125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.226979762276182 0.245606724836804 0.180566882555524 0.125242073259843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.117992626310077 0.129024697124028 0.0490501574382805 0.0392932574363287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0806727875155676 0.0885240986111592 0.022238838671456 0.0199856328812513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0208120005739637 0.0230672830233894 0.00151995584180094 0.00231410917961299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00914234083459402 0.0093746889736452 0.000657216186373443 0.000933824977112945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00726846218286072 0.0062754776988348 0.000647493935507001 0.000792787370367268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00867256310900694 0.00590171402476535 0.000901383536985188 0.000795175061048639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0164679500033288 0.0165530414590558 0.00145334418876901 0.00154047082630775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0103117569151662 0.00763280112157024 0.00100055785312566 0.000872723189811105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0129172846973402 0.00820785551192744 0.00158367728349496 0.00091511546115215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0184522358435769 0.0115364089574566 0.00316184040031059 0.00122780397990003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0112196683199092 0.0132504474582336 0.000814447077921801 0.00119106162565308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00525891594277355 0.00505865679223672 0.0005725406201297 0.000772371388623569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0069426861700832 0.00568096364044164 0.000891730796902946 0.000846029959702823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0102570095498974 0.0082314318144189 0.00143029088934353 0.00102902330461606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0312716351582795 0.0336734625630616 0.00291121147135572 0.00393009876899737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0131105701742484 0.0135440883902711 0.000876476161046906 0.00118106395306139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00913839397855701 0.00838408757023001 0.000719199491412916 0.000865695767138894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00960103687352114 0.00707234057625477 0.000937548442852896 0.000826011766404682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0220651319812823 0.0229968575000878 0.00202521498059937 0.0021903662525676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0113924049996119 0.00902924503774562 0.00106016685432705 0.000930417813224191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.013160583598215 0.00860054065822632 0.00159759748894857 0.000929824285342956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0185401603498626 0.0116470682168569 0.00316931952994266 0.00123216839118645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0164173236590195 0.0184246389492659 0.00119316388916812 0.00159772167889178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00645456783426136 0.00642569692938425 0.000605071336595457 0.00080547415031425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0073533867303623 0.00617828083104885 0.000905340948998577 0.000856098526043705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.010405501212593 0.00840947232690763 0.00143763120846089 0.00103376073706637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0516211834641079 0.0545540196955649 0.00728579083697772 0.00878671629101277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0209991896883597 0.0218776121718623 0.00155297231291669 0.00193676997471712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0130929098619999 0.012772553213136 0.000932688121631732 0.0010891996451876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.011666151441251 0.00959512632142317 0.00103838235028312 0.000918694048964626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0334779436159839 0.0355811685678415 0.00376868618578174 0.00410376988899471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0140685334914828 0.0123124256436119 0.00124064574352162 0.00110714657859748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0138468303323263 0.00957209367418633 0.00164292505925811 0.000971265102261459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0187939582504902 0.0119316369175677 0.00319118373117031 0.00124700060046733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0261816559512042 0.028883074650789 0.00231813855735183 0.00283617379709224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0089750621076488 0.00916793594710635 0.000699676550386222 0.000903146432171266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00832553451824516 0.00733538619137056 0.000940511070549441 0.000884432682224027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0108160878556821 0.00891401106372343 0.0014566544433762 0.00104748588171229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0971575757612418 0.101620793534275 0.0254580166320082 0.0275934152061414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0388071296050458 0.0406298141188496 0.00428726887319033 0.00493540374159372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.022535256037153 0.0229739203792007 0.00177375455399053 0.00198912064478964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0170640445216111 0.0158787612205176 0.00141446929888064 0.00129324003721983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0600436013126353 0.064650964007281 0.01077861245983 0.0116228536192622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0212956498224973 0.0204819175074265 0.00194206527512863 0.00181115982106149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0162252709208408 0.0126377815078338 0.00182432030979053 0.00113692836708193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0196710487613467 0.0129779095307848 0.00327290034456606 0.00130851102589809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0482515492235156 0.0526711420705236 0.00683451306159182 0.00768856812873765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0149077212167857 0.0156772666482554 0.00105985770736274 0.00129060126870069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0108861295555459 0.0103196808282737 0.001061665062591 0.000993163185062824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0119895892718886 0.0103987863141356 0.00151936034811897 0.0010985781029032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.284464397597603 0.297029682074615 0.233243212276791 0.210423750901853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.112807730971367 0.118913814529598 0.0340022026976082 0.0362009911765301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0627888959660126 0.0661188660264786 0.0106489388025652 0.0115889012315794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0420535686753323 0.0434831975606595 0.00517392610155359 0.00532825873726225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.173140937127441 0.186493537204255 0.0891572180386942 0.0870115132190742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.054874307274512 0.0564856178913139 0.00924189367952341 0.00923960241798272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0306584804861971 0.0288132673899461 0.00365857050410669 0.00291590392482102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0262274827601521 0.0208485927840473 0.00405278675255281 0.00198859129095029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.139881237053051 0.152963369164585 0.0568944197555709 0.0566622019056074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0404124855743727 0.0436438895379301 0.00479625431849608 0.00535785359312727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0232896834485903 0.0241159680174309 0.00217831790938795 0.00211682857438528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0186600560167264 0.0184448738687994 0.00203955601176597 0.00160593091248959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.472692883628502 0.492777086634842 0.680056575750547 0.539445320664517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.187277342254576 0.19758427471279 0.0948358245869008 0.0967087097376094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.103526879393306 0.109616390145961 0.0284491883573233 0.0305713210755174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0679869643380519 0.0716521323790623 0.0125493886121102 0.0133928654917274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.288318360405476 0.308568642221174 0.256136322798461 0.227063050407035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0897753965422017 0.0932371418861158 0.0239936386558594 0.0237951883275573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0470053320808918 0.0461375534152129 0.00724273591414322 0.0064745594020079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0350072289861865 0.0306916978086615 0.00551675755807431 0.00337091274289501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.232246838987472 0.253953529996361 0.163272961973024 0.147684180722245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0663965099183 0.0721282527015488 0.0123502379657345 0.0133248336664113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0363890686167716 0.0386131803982252 0.00432899818940386 0.00433914071765703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0265429605882526 0.0275978873376271 0.0030274881126188 0.00260869881367921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.077896911591824 0.0867485292844752 0.0169026725766529 0.0207120383429029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.031220288769774 0.0343219493225085 0.00299860643473021 0.00379062056131752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0185981295065117 0.0194333085760843 0.00139076137169511 0.00163460270892084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0148021493928115 0.0136663289798017 0.00124888056385259 0.00114407629263045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0502515655134038 0.0534246870091484 0.00799163434657707 0.00827066496234047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018781795375317 0.0174813288841458 0.00168692264372342 0.00151450347116728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0154952896357955 0.0114210521385168 0.0017742846698074 0.00106477925831458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0194078724498494 0.0126430599274885 0.00324325015464378 0.00128356551127657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0396013024369376 0.0438887432746201 0.00484192493099483 0.00575295495786201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0124878085703671 0.0132595235994476 0.000900169260214036 0.00112589638131755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00995335896474246 0.00915133709714025 0.0010148152526883 0.000946506879208089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0115923551701463 0.00978211613424099 0.00148398870467888 0.00107690247401198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.151349134790666 0.167472754389116 0.0655623266290229 0.0722555699597697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0599438450354811 0.0663953763456906 0.0101032852145853 0.01217134294546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.034072101421597 0.0369044824212315 0.00355490411791338 0.00415127973408991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.024147978622833 0.024695088060896 0.00219425973794151 0.00219309755127653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0955506424588369 0.102476558675736 0.0276954287077 0.0279468130837934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.031927104108998 0.0317431037366963 0.00363696918273805 0.00340896384480145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0206722908000065 0.017429290729709 0.0022911076196937 0.00150943519122001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0215135021712249 0.0152490422911975 0.00346210014378201 0.00145651086617972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0765323675398271 0.0839363094405024 0.017142211084073 0.018833949424571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0225288502511272 0.024512713771904 0.00183999389095978 0.0021739687132452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0147164032338616 0.0144886547558151 0.00132517242530793 0.00123539853699831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0140197640066833 0.012692710079652 0.00162772325328898 0.00121211195437373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.300596301206038 0.329593617435652 0.27250265644933 0.260196770489648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.11834963715582 0.131299922539316 0.0389934356052634 0.0449471670710919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.065871388752368 0.0725127343755317 0.0121632641516204 0.014163750045334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0442018915507065 0.0474855933023937 0.0058439914462285 0.0063917541193447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.188430917192664 0.202252752206961 0.109141905664932 0.103262758442829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0597371058146729 0.0613527467804552 0.0113262141145673 0.0108810662139245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0333004262431872 0.0309202864612757 0.00425451852949504 0.00329049352084886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0275356738762963 0.0223223907071147 0.00427172244896179 0.00215455440213321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.151649867535559 0.165281249595655 0.0686080237538249 0.0679770454093333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0432305333151235 0.0476762413122053 0.00558079301960244 0.00631074725950706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0251872461239572 0.0260104428465654 0.00248413774803592 0.00237680173255408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0199680923772707 0.0194791937432957 0.00215331847757263 0.00173492060510716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.916551553849282 0.971340328884029 2.87372605158419 1.90085502048645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.353722382113471 0.388116160662324 0.363662746515874 0.366359205952718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.194716565370946 0.214779329276749 0.105254046627129 0.117295001763777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.126345042481452 0.139581678136891 0.0439194356166381 0.0505103675831789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.571188137817186 0.60136458159868 1.10490014158505 0.809714026446559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.175296874572818 0.182704829948835 0.0966106497834748 0.0891361046110588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0889960173004732 0.0882617215896725 0.0249479515969029 0.0224400117160884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0595015273941613 0.0558674571396601 0.0124160863627429 0.00972979958421456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.460078326215836 0.493760147616615 0.712602826912909 0.516772270961172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127896845914946 0.141050325575294 0.0476727206098207 0.0481532850836487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0694131354948351 0.0742920133446251 0.0148475271161889 0.0142573459394757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0475284932306481 0.0501834550183651 0.00759466305275131 0.00717990849016123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55459334328605 1.61978356939586 8.68474190270246 4.88303180404419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.590035878888272 0.639972481656395 1.05193348827825 0.94117294915149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.323025875675394 0.354585936939395 0.293945493337374 0.311130208694415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.20870536187962 0.230559120251499 0.119476061524848 0.135353972931441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.975463704054948 1.01168899831326 3.44112819393102 2.15853225300931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.295753948696471 0.308139630267237 0.285159734785459 0.247919604689129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147912028166253 0.148637351037536 0.0690600497243641 0.062856408677062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0951432473859181 0.0922029579634934 0.029241866464025 0.0258668961042527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.792103702077336 0.833207480844275 2.27129003987732 1.33034655415297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.214315899055602 0.235419264567534 0.140332978410416 0.126869419312944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.115174840716891 0.124335988110441 0.0417341004045432 0.0374873647096278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.077166197116582 0.0828437890951765 0.0194856930113632 0.0180022000289812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0737226687858075 0.0710159525153198 0.0324138573515231 0.0330268158037293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.104453345654571 0.102636761554683 0.0781518315357936 0.0473590363850532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165271654595734 0.16344657337895 0.162588999542036 0.0846356075553261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207163824433861 0.214773520438761 0.22018553938452 0.120885332952664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.12071091528383 0.117627071970481 0.102098259498536 0.0834675543634456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.202102226853384 0.203340602935618 0.29199698404908 0.195632809467758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.295356001540081 0.299367423117508 0.492206243228939 0.307308878591484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.34853939936478 0.371355710298334 0.579806668401365 0.437188759340707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0844101642904126 0.0804858449581386 0.0595975857101609 0.034723533536317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.581646466208419 0.504466373258734 783.045759181018 399.053051773864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.25839420012526 5.25841360098324 169746.858998428 332324.542635321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.12816946601471 1.91001495396261 1718.49605669763 1504.30015598425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0803315100969028 0.0775154164105813 0.0344796981600949 0.0349333528114608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.10565902536471 0.103763828086115 0.0787389226502347 0.0476203960874238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165436477005614 0.163638983707151 0.162705701179386 0.0847530541381903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207217981997052 0.214832852727263 0.220188279981388 0.120967157819312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122715833581516 0.11936740880879 0.103261997221652 0.0843719626285153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.202273571493396 0.203450055484038 0.29227158338333 0.195859868164447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.295358459205861 0.299407695693626 0.492225012823577 0.307488249623848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.348528922333139 0.371349623622604 0.579696984367802 0.437282158490981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0868323381870766 0.0826974251931457 0.0606109472767276 0.0351668711876706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.577353553670313 0.503327962656148 653.370549896002 341.548992001521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.29074278952559 1.18846393228334 969.388603602779 989.617012407107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.91233330189498 1.69003670262156 670.831019270015 286.371183971298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0953393523732564 0.0918241006778294 0.0402604768387761 0.0400618288741979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.108789061218633 0.106703864434615 0.0802843130192544 0.0482832535024854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165935953290078 0.164152264571096 0.163088823841203 0.0849831086110081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207351178998994 0.214969237097287 0.220276931715443 0.121099583617142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.127907167217798 0.12408700132285 0.106211641492061 0.0865034733549104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.202701146271322 0.203833179788032 0.292781652250225 0.19620767387574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.295403917573485 0.299488409698278 0.492301537602886 0.307706972408408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.34853423124709 0.371350338155645 0.579611896858823 0.437398937674835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0925041562481932 0.087929624000401 0.0631251455250714 0.0363046001829499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.589879858896428 0.514374072870247 594.702662998995 318.755074359014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.26747327667109 1.12331098133283 999.358256134261 724.718999852039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.14556046099636 2.07461642280645 1457.23294434117 1601.72415286033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.13391963124893 0.128466065759516 0.0617483845093496 0.05893406544864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.118417274721182 0.115664237937465 0.0855200249751162 0.050734145584573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.167884376101782 0.166162773325498 0.164628673182366 0.0857904561295046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207861041588934 0.21547584273905 0.22071651303013 0.121518174726852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143960323136554 0.138951972737676 0.116588172499355 0.0938941528975295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.204298297915097 0.205330865713845 0.294493861151108 0.197255949540356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.295607910045411 0.299760135950544 0.492613645475221 0.30826015703073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.348585745851589 0.37137173322973 0.5795098302162 0.437702838606757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.108470472460123 0.10278536882034 0.0714920224154472 0.0405765215795726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.835131091163447 0.690869304907922 1713.23960873313 867.294058208363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.27733430289017 1.18344443242964 1710.63576678275 1228.5034957343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.77064031974331 4.04654004089855 1055929.55633213 75010.2660956818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.314388887194592 0.300342344828706 0.280714248128752 0.243938365741036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.173059120712994 0.166781378030418 0.127121659877408 0.0754169392617157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.184773648734373 0.182433108578147 0.179391695284288 0.0934447361710358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.213211451090795 0.220630527215038 0.226045264915574 0.125338065281422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.235679986781812 0.224829617705686 0.211346265034197 0.162539636312705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.217572064634658 0.218114348372497 0.308815922848436 0.205862542906717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.297771330467405 0.302161536627066 0.49584499331602 0.311993716254862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349212782854941 0.371797673662003 0.579900950648396 0.439898497285439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.190828116601235 0.180837993571644 0.141675534649661 0.0845421323030245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.742090344448439 0.903017776150122 1752.08089838154 3754.56757223021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.48406079408152 1.61446213892632 3230.61209727429 5357.99766793041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.52990577207244 5.81621844853432 56550.2599479531 247111.246246646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.504098085854579 0.482098019403982 0.724642962966084 0.601133670571682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.236169818135916 0.226313109241085 0.197977085998135 0.123348008840248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.209317296206875 0.205439009177483 0.204619630775807 0.107928683168931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.223015811841965 0.22960149995108 0.236647746882506 0.132661513193232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.339838503258873 0.323981655342735 0.392263590207111 0.294066793655858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236968928003247 0.236526912478947 0.332888613703346 0.219684345692108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.301844515440581 0.306312603677077 0.502069604927496 0.317329008689676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.350498600295454 0.372879533340614 0.581602236898309 0.443453490017945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.281516267804612 0.26753289533405 0.269442671103316 0.171833100060278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.557845266242369 0.446815608880731 407.506596476402 135.29970228022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.99352219120502 2.2135517124715 8306.20369970118 15143.4352305941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.52675159144395 2.31477098056126 2741.73500741923 1922.27528409046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11966952042286 0.113374832867914 0.0533197578467396 0.0502363699315674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114393159994563 0.111894429537976 0.0833162591300595 0.0495610495706187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.16693748837327 0.165213190916428 0.163946604123728 0.0852478941232909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207570724764541 0.215154462376127 0.220542745429737 0.121095812794432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.136958515211962 0.133017485432752 0.111332233110595 0.0911099207079441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.203279054456691 0.204741424706967 0.292736482170242 0.196511066728502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.29542726963957 0.299668313163203 0.492009659589657 0.307444801664976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.348478791866533 0.371417116324915 0.57941794440464 0.437182134323482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.102340954996735 0.0969895403407712 0.0681434279045781 0.0388371230837302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.717276883165983 0.88672575351601 1444.83002598121 4451.62426607661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.32051931829131 1.34959832941934 1388.41259480133 3137.59839905319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.97638987633134 1.88570095849721 1107.97410359582 1133.68582221816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190364771365432 0.178851132261106 0.141785103510825 0.108497349200276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133684159408363 0.129492811378474 0.0972948796652466 0.0557610618983551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.171923722232808 0.170264671526793 0.168551750010854 0.0878025295713758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209089798475725 0.216783042470231 0.222489950226855 0.122887437346978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.169165730669731 0.166099255626942 0.137007866759925 0.315973186591883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.206943260703573 0.209510230141436 0.296118595542216 0.218455451395394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.296075014682558 0.30074596890783 0.492901552485875 0.310967324893028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.348751352611443 0.371732036710588 0.57981118326783 0.437844239066308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.133374834591477 0.126091993024832 0.0892150745030731 0.0703511534968612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.693213107562876 0.539265811497769 873.055212098499 401.77659433527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25721016895722 1.2068067921792 610.953761889144 773.309383073268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.62695109558033 2.71132344893231 4766.85216978044 7631.06779787014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.340077863027187 0.319834431440424 0.412681227284141 0.3441083974667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.179977079534929 0.173177528059614 0.1389434429162 0.0880559586377393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.187334521976167 0.185132181014574 0.182969611192492 0.0958295972976949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.214157981761316 0.221699478041311 0.227635640239241 0.125443704391455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.246288623347719 0.238166653802255 0.224408811943903 0.255441824618959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.218321883612242 0.221170903291589 0.307132282912152 0.213845864300113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.297795990060751 0.30313897903127 0.494654382041166 0.311255501401931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349081391882662 0.372413155115251 0.57984465855351 0.439183564974189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.205190257775754 0.189714028615165 0.193989300282578 0.0956328120679792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.487826248691775 0.518188750776207 241.973315729325 481.293125150733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.3105776702339 1.44909184591575 895.313075845943 3702.30496837831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.84210526675414 3.27831026978401 38772.2803912343 18481.4120592157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.957255110386923 0.904795488462299 2.8559115505766 2.03063808173877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.393650084139156 0.372669350350163 0.494086383018119 0.330078613623459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.278973359036927 0.26988637238053 0.302456094644634 0.165790956640054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.256620106115709 0.259287976618839 0.281428591001083 0.15889714983477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.597003473294505 0.570655029883692 1.1940463705067 0.893012189739367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.290189462194939 0.290194963576675 0.409138886328445 0.269677814413244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315424459361276 0.322320452537608 0.521340130133048 0.330401468891187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.355268505846327 0.379467500015133 0.591116041180807 0.454010320116293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.511605369828473 0.479111375455507 0.877242790253428 0.545947386772929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.406616539349086 0.391463452028821 22.9252291614172 33.7220567896692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.50063764500562 1.54534189462679 1240.11563153778 1876.63607766261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.44916685377498 2.54424116406559 2227.89663370108 9018.45638066358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.57573571573394 1.51797942845087 8.33901101844821 7.5018629136201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.620717834577506 0.593147383463286 1.44994127840118 1.99477186910324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.388305138092959 0.374580080581798 0.60079376240808 0.592390048477743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.31606924225833 0.312650777154215 0.392077075079293 0.244504025958015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.986582983708757 0.961242191334737 9.55466717201369 19.771792206348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.381411823168787 0.380038997236607 0.638813164124067 0.48953629269867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.344451177887121 0.352079684951546 0.57656726143348 0.374377896424622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.368129007545153 0.39223201659188 0.618554394316647 0.483308465803226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.6640661021385 0.850624465430177 12802.9769286959 49.4048865145194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.470976528204808 0.437489792578292 22.0019168616025 12.4208709659245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.45677605278254 1.35042732336095 1222.82922099303 924.098697809443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.32928802626888 5.03262213446245 41366.443941662 49521.2761774441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0140195970706802 0.0163929563806823 0.000648163835432481 0.000883599718443154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00587699488539451 0.00656248404370348 9.79480809972507E-05 0.00013237380375483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00367309433800983 0.00381423847846087 3.11031187518357E-05 4.39624610308904E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.003087836097704 0.00293098954538167 1.72691971415984E-05 2.72400705021988E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0106404579459143 0.0116475173424321 0.000409714862718842 0.00042619572899384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00480902845849225 0.00476972844618045 7.68280917281176E-05 7.07159908210085E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00401797019042579 0.00396423618093111 4.60694978795387E-05 4.86468029927143E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00460794577459704 0.00452389544378166 5.73630077968938E-05 6.73447181319696E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00810348246385045 0.00942502538537185 0.000204425851116254 0.000256555053533883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00249963522848338 0.00243275813712113 1.28222525419205E-05 1.72620719201657E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00239766351866626 0.00169944754419223 7.99095015574956E-06 1.02444145522064E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00343146555591886 0.00221530018901725 1.40619060370692E-05 2.25948592250984E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0278064902715984 0.0326877555484824 0.0023025689622016 0.00308732135296985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0111720208131355 0.0125474160864376 0.000333039260295405 0.000437220999629681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00639755956633827 0.00688807056313835 9.83117820460136E-05 0.00013192280280032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00459667630654681 0.00467374405384232 4.356585809418E-05 6.41291387434069E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0196300259016292 0.0213373659123796 0.00130052168124532 0.00133070392450587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00717979130109282 0.00709649541555231 0.000171325715349701 0.00015411086265802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00485437025131323 0.00464897561611009 7.00919753155063E-05 6.82796201512773E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00490761359002314 0.00474228408430874 6.67810889423922E-05 7.558977136499E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0156184973154892 0.0177012530143012 0.000732506304165838 0.000849862556661475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00431012253948882 0.00442716437781445 4.31905179627546E-05 5.35599607197281E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00313849929036769 0.00261805540559125 1.63533515409428E-05 2.19036643924695E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00376175243389586 0.00264139379837882 1.77018211339727E-05 2.92747898272602E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0495280912708924 0.0582170054266767 0.00753455554579211 0.00911004136377825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0197899572802639 0.0223473173686022 0.00105413572994749 0.00131482650835867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0111091105427937 0.0121427098898965 0.000306695508295621 0.000388028726138905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00747003556649835 0.00790309217923686 0.000125707540494008 0.000171288306862592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0344403780168891 0.0374830406612038 0.00387949670553473 0.00389349715377938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0114443400659415 0.011571911373186 0.000427638379707567 0.000399070044481583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00660217322845057 0.00636102603210249 0.000134150082905675 0.000127428306498865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00564323950571767 0.00540963524484625 9.09581285228114E-05 9.9704539158615E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0276549369556567 0.0312350585813699 0.00237502192086914 0.00253150767726343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00742213243242128 0.00777298985707878 0.000137500603831876 0.000157603324214171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00456344026768559 0.00426344706219865 4.23144458277857E-05 5.38401534434103E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00447623070300549 0.00354288956547914 2.81341380091829E-05 4.676235723869E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0967514365596881 0.11165467818726 0.0307467650686754 0.0308223088258085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0382844696463392 0.0432489384535049 0.00407967821295068 0.00468714301835014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.021326084988012 0.0234577255939859 0.00117217023624987 0.0013886366805799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0139805223359652 0.0150647767654934 0.000471341616343041 0.000588970983237057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0660298571711726 0.0724499982206929 0.0144181597248147 0.0136558205417805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0210951981771076 0.0218259204704028 0.00143362383631778 0.00137390378266286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0109939575768274 0.0108875338087227 0.000384528465464744 0.000363481630906496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0078207072584337 0.00764125020933446 0.000183473937550091 0.000196048438169418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0533208006151564 0.060237063711065 0.00947971479957124 0.00881121209832188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.014180402799925 0.0149640150297334 0.000538637968355323 0.00055622570010086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00795866698552086 0.00795837018708381 0.00015511266954404 0.000174462983799439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00630752793703867 0.00581865749656253 7.20561658886937E-05 0.000110017052023782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.302696593385794 0.322931181574187 0.340144989880234 0.220937086511255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114852332977509 0.127558084554147 0.0403773221219322 0.0373464757466681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0631860107519064 0.0695145415521938 0.0110888479279923 0.011459180146788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0410439605491498 0.0444928973924596 0.0044084238890608 0.00482104222204692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.19830166667773 0.214485766274003 0.142937095128815 0.106560629553887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0612080302221241 0.0646418293213349 0.012400729237797 0.0114117841165273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.030533920813611 0.0311431629288012 0.00315114580705669 0.00284978014946829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0189540505067692 0.0194109663722137 0.00117459489608869 0.00119218983095473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.165142884686801 0.179567769439561 0.104532838518897 0.0668293416833985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0423055275344031 0.044920988029606 0.00546707002347314 0.00454926165192252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0226320718171677 0.0234409884977385 0.0015365722986928 0.00135688833895039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0151861687025246 0.0159403665660446 0.000613212987543753 0.000697515982717045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.516784749494388 0.534600373194553 1.04281470300161 0.570397426582488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.194106814720742 0.210967343257858 0.121694807660817 0.096827475570162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10553541008478 0.115543270654314 0.0323856831412221 0.0305481573732784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0682959839198593 0.0739877645785756 0.0127331316472104 0.0129306943056431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.336603309402182 0.356822759791659 0.435312220909458 0.280832313789002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102194302685875 0.108064549872342 0.0362624478591525 0.0309142908583193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0507385712468436 0.051924218896584 0.00917877421879125 0.00775144988562496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0308979865975282 0.0319711893534561 0.00327154996788791 0.00316667325454518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.286071405939756 0.303132025095286 0.331084457013957 0.176091143205746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0713609998298098 0.0758833450579974 0.0168327998746404 0.0122037343351324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0378439191273876 0.0395040102007775 0.00476907396483603 0.0036508142921447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0248339989348206 0.026701238277604 0.00188934505930404 0.00181715931839295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0774054264744349 0.0865716663925201 0.0200383852300527 0.0191913524089372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0305870533599106 0.0330770818182211 0.00274478964930387 0.00290125470039526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0169711747479713 0.0179641977706676 0.000790514077192553 0.000865851361658939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0111798399252525 0.0116504096739933 0.000318487173496393 0.000375645031656628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0516427401793389 0.0572788040778793 0.00885950584116455 0.00876927712370643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0165019619903582 0.017344254063519 0.000876564445792945 0.000908777407389871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00888259952769497 0.00902766851996153 0.000241365934361892 0.000261791210190818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00675853302714705 0.00681225974453188 0.000129278683735696 0.00016111045515297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0434506544208314 0.0480484863028189 0.00619701701502421 0.00592286223436194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0113872681974814 0.0120338625560779 0.000340426761558176 0.000378533708738241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00649696646305548 0.00650179499174967 9.83936057532372E-05 0.000123504111214995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00545097713901648 0.00485303141099312 4.79237154272597E-05 8.11939829806722E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.154692037974826 0.169494616890219 0.0862426446654286 0.0673683660951928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0602298016101645 0.0649832303963782 0.0111937400080608 0.0107313748621223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0331916642850709 0.0351867587035101 0.00316119296372766 0.00323472788906598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0215486007261495 0.0226408092776681 0.00126106702699866 0.0013755200328269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.102680903645658 0.112469200185515 0.0365831527975237 0.0316336496402868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0317099170344831 0.0337383154818009 0.00328911056169882 0.00335115771172514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0159798128639281 0.0167089035685287 0.000822621693784086 0.000881958826458182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0105910612066772 0.0111135569470143 0.000337808447680074 0.000425734999002384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0862832997527238 0.0944935452108824 0.0267416175223724 0.0209321783469066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0223301239758782 0.0235907338240015 0.00140973021177101 0.00138443576933022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0121862155716342 0.012565004699153 0.000399274282613403 0.000436911725682012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0085852890169433 0.0086821389412263 0.000161953856854273 0.000234015170162296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.315943992164193 0.336148828101568 0.385988648306631 0.240822167019641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.120862212755659 0.129312087470786 0.0478147058066744 0.0400121901346218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0660935865444516 0.0699865971325483 0.0131552816631545 0.0123285165285208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0426457907125113 0.0449489791041637 0.00518515630094168 0.00524230260252916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.208208422990604 0.223739180603364 0.160032487803806 0.11507179731689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0628836440140072 0.0670893858550376 0.0134243182381535 0.0126586761758523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.03100804689358 0.032711323258707 0.0032468134469333 0.00328923094416603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0192484792838454 0.0206722849211477 0.00118479613486363 0.00143614855205946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.175975917733796 0.190142375624201 0.122794747953819 0.0749141277184892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.044733762324908 0.0471510814481201 0.00612389796649143 0.0051770600641914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0239634171083802 0.0249357407320878 0.00172294382494717 0.00160913612522211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.015730193400411 0.0167782168835508 0.0006769565645018 0.000795705413008006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.99139940255238 1.01411184603452 4.0933622380729 1.94249545096432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.369891536760469 0.386370674404062 0.496740118067267 0.316458975558811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.199726343629643 0.209659076067888 0.131465234777018 0.101014808707399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.127937099257091 0.134483399637694 0.0506947185916151 0.0435843176754132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.655834147790004 0.679200215397275 1.74272790294988 0.955982644317611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.193038206256038 0.203807013975144 0.141744968051153 0.107123298942831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0940667635957647 0.099142468252522 0.0336605634970775 0.0283420585663955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0564318187562211 0.0610012521060121 0.0114665219168263 0.01164520280049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.575714154560497 0.589122805215494 1.45883921296448 0.605556715252946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138284488681794 0.145939594173324 0.068309508818713 0.0426111221860768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0737178415683693 0.0774843683429344 0.019627662871677 0.0135642033062904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0474260787086823 0.0508525367922319 0.00790349214559661 0.00632872698719941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.68813232145158 1.71023328296451 12.1940316614818 5.38454219750352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.625057556301727 0.645362188767237 1.48028003032721 0.839722310295903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334377301618381 0.349230187180477 0.386625946969783 0.266108034885264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.213591069015922 0.223863869105824 0.147545595609491 0.115248973228658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13684591761916 1.16813550682098 5.51949671561426 2.91230473319102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.334658424975774 0.3504964240768 0.468139956358517 0.329935525289566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.163004122823355 0.17138945091087 0.112408713417047 0.0899767487595131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0973584127410225 0.104330416322116 0.0383146721130059 0.0346723041247947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.01787587006614 1.02818623903766 4.78601031788329 1.8487921454228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.240345215211668 0.250338999674876 0.224138572753321 0.117590517714979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.128841317727865 0.134889205111779 0.0669728522156008 0.0398723735770732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0831894314842062 0.0874425885993694 0.0277068014174633 0.0179523960710988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.069553964845228 0.0739475753766247 0.0132790428352003 0.0173672659681598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0251868307732853 0.0269518533437834 0.00165415023748008 0.00217428491818005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0136661959644644 0.0152767572928828 0.000475343952335277 0.000700970061741191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00920704713933411 0.0117930987192682 0.000214804262035049 0.000417910464635572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0482856181200106 0.0493154817303448 0.00604025437848615 0.00803286846874586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0148071294924823 0.0179755860642665 0.000596770069490303 0.00100973830633756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00867399655510023 0.0143644897295559 0.000210493698935748 0.000600777261915147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00830806177716843 0.0173219947247238 0.000233075394198961 0.000812064200246303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0391725246446884 0.0404232113331901 0.00488105394022936 0.00415261229342223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.011893363673453 0.0120238628043531 0.000390844814268507 0.000405891092780117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00702604892751572 0.00801192366780812 0.000133123808544388 0.000205903161069224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00587793264759307 0.00862903899196317 9.05742173412221E-05 0.000271067741191707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11710514397336 0.122052778310022 0.0365145323471826 0.0430737622487952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.043030188920082 0.0446985198205092 0.00474431079833806 0.00561553542357721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0231343323800841 0.0244658741362816 0.00135946780435267 0.00169831685503101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0150274153031858 0.0169640308492494 0.000576300254701206 0.000831332087643776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0732254906717807 0.075881665698532 0.0137165176664399 0.0172590386293874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0212575428840154 0.0239921568698112 0.00122533454600344 0.00172009828212715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0112691435602417 0.0160829809272322 0.0003546323398045 0.000754424437743315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0095275628043928 0.0179394141961953 0.00029260372416511 0.000874433061267121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0613016670972164 0.0630833494639978 0.0110878160885124 0.0100662929903467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0173217033472996 0.0178544936401144 0.000800413841645177 0.000860771863630392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00947498057159535 0.0105559655384523 0.000240091492663283 0.000341082375354304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00726651594592031 0.0101296770216151 0.000140803084387632 0.000356467839074046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.200988738882172 0.206110671631401 0.10824416661371 0.115578823246505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0747857619610145 0.0767461923326722 0.0141845247337912 0.0157092705750799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0402464413596202 0.0416263990598189 0.00405957197061059 0.00464303702645486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0258985929995638 0.0274985964817823 0.00168165015286022 0.00206243845014723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.118972802896894 0.124008120885701 0.0371306613519414 0.0431047169037588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0337830059376256 0.0365055453157383 0.00310316106661821 0.00379157097380805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0167058355109911 0.0204619383571047 0.000782339192788205 0.00121190605932903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0122862706555076 0.0195606186977038 0.000466121374308234 0.00105310120244886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.101536497845963 0.104607362212802 0.0293168950157649 0.027640632790823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0278245844798215 0.0288303700906675 0.00202499329483399 0.0021794262643652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0146454938803257 0.0158171468365865 0.000566796771595001 0.00072394774894936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0104686670772999 0.0132616608891866 0.000295761487896791 0.000577293301617033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.382759447390683 0.389256196476134 0.407335387430373 0.388307050431463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.14323236338897 0.146252916204062 0.0525470628332068 0.0550870578837803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0771585005682963 0.0791258941192065 0.0149697354732315 0.0161668182950103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0494846154681549 0.0514140767408145 0.00613004663353568 0.0068937457799577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.221953975920189 0.230979856641173 0.13574813386383 0.140756802014858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0623132530100978 0.0659435667608594 0.0107213168389213 0.0118858125509218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0297776852802491 0.0328796148060541 0.00249877726332376 0.00304597668632657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0194962684145713 0.0252266170322191 0.00114263238117799 0.00177468584558274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.191264676697502 0.195812583994636 0.103798150614256 0.0958272271037904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0517048083929094 0.0534753492238576 0.00696910950026005 0.00734494055188568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0266916958785297 0.0283437060329967 0.00189186594807809 0.00220357745238208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0183472471215147 0.0213096002262372 0.000931317107882343 0.00139764456373092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12802046448836 1.13689060921154 3.95982372948297 2.87573147835166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.423030100355623 0.431090334645086 0.476883823267395 0.4546378949564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.228147601440429 0.233189740014034 0.133700487542522 0.13520203014357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.146110583757931 0.150778400816507 0.0541332227311775 0.0570651440399758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.654961500284925 0.671401512207561 1.32246120855851 1.06553500617778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.181810800245504 0.190272046891187 0.0950445463201204 0.0947623463238071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0856828342750423 0.0903216619373303 0.0210599059690022 0.0222841635618804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0526436366217636 0.0582404499674227 0.00826445476750805 0.00950177457893408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.565366503083962 0.567763468748242 0.977293223364942 0.746026659919192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.151571641308652 0.155921531112794 0.0616190949380704 0.0600006940022362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0776012423684352 0.0815652149090518 0.016474682598985 0.0171823157109104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0524454702923344 0.0581215276049661 0.0079889928872532 0.0094777976219868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.8789539252282 1.89484975817042 11.8041879871885 7.32723341801207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.704221009756452 0.715418696916615 1.36476300375033 1.20563160662409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.379607569271792 0.387627022567058 0.376674731356657 0.365771066669169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.243088252983118 0.250605795194681 0.151450703170695 0.155192394973776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.0981656358161 1.11483590136178 3.98212883354916 2.73175884181599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.302971935315404 0.315608018953602 0.271064068826648 0.254408270216188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.142552291063348 0.149409617664274 0.0590486096628985 0.0602337690941576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0868508043635642 0.094362600572293 0.0225921570021637 0.0249092174493692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.945688089596338 0.939930881270741 2.9167930677746 1.90163103650519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.252793441823839 0.258428357382889 0.176697109547772 0.159823795568906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129392221603933 0.13514575669591 0.0468415075629755 0.0457842917097872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0873464371617656 0.0960547107331897 0.0227291685060641 0.0249599078318608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.309171038617489 0.310915696244473 0.271256877407633 0.259461809401107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114732247989848 0.1159144210866 0.0351434017547938 0.0364265613765132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0615893581712618 0.0627361109082159 0.00998229774456856 0.0107353836722071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0394432812434497 0.0409821458499722 0.00410343399969474 0.00463087492998977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.18037958860901 0.187027689480476 0.0923884245568522 0.0971830507806471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0507330787144073 0.0533199913032922 0.00738350832905809 0.00815233491001292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0245593621183669 0.0274966471853107 0.00177521814662668 0.00220258129870621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0165676780969615 0.0225333777948359 0.000876179710439481 0.00143847992905587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.155266231872271 0.158946872060959 0.0694822047807308 0.0647667309194197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0417691441215828 0.0432810041018419 0.00469587011604362 0.00495191173794064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218338342170376 0.023276725052344 0.00128843654795189 0.00154432696657201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.015176019326549 0.0178571940850128 0.000641194655545171 0.00104454739560589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.603709455341195 0.605056125214126 1.09533595143968 0.919582381098302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.224744915628641 0.226753706625172 0.138053096449498 0.135932737933108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.120635173254044 0.122520259718436 0.0388919737280194 0.04009318710584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0771097727777809 0.0793283091365861 0.0158487182537713 0.016977126875843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.351677208584408 0.36040046483831 0.37485214469952 0.341520364369694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0977949238844236 0.102041018625624 0.0281465201681466 0.0291634225854738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0464054628635093 0.0492816731505625 0.00643670881943533 0.00700609522132667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0291726782451086 0.0340764298766429 0.00271545228026189 0.00336094092754329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.302255558503153 0.30759930326849 0.271566227796307 0.237551522190385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0808522827719346 0.0837514011704051 0.0178495203891286 0.0182480206418828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0417899965005615 0.0442310233751036 0.00479797484784053 0.00537939061542339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.028450045492098 0.0320818063688254 0.00233077423307349 0.00320048095466363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19789808933587 1.19863689088948 4.68753749594989 3.28773285825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.447093101679562 0.449850657841006 0.56403107794483 0.517185761506041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.239934186986633 0.243242653884401 0.156662435837044 0.154784368821754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.153289409429062 0.157172780211873 0.0633801147382615 0.0654872532109665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.705867742638754 0.708879183839311 1.63584144130756 1.2228231213404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.194005399290039 0.201495125451027 0.11427840005531 0.111083342256778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0914191431655666 0.0955525412656218 0.0253385894639041 0.026044983635879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0559847591281923 0.0614610971590257 0.0100156081349405 0.0110641175611729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.601942070212138 0.606790539225747 1.1472545876175 0.871151723282464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.160701077390532 0.165543977363535 0.0724139580926351 0.0692656901141922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.082610649289706 0.0871488485407058 0.0191752130478242 0.0201984436316659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0559382347484764 0.0621427785851807 0.00927128330737125 0.0114454995446854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.63238554690528 3.63478840691775 49.5147897643211 25.6632338645993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.33626598524514 1.33704621899038 5.52940340178997 4.13778953706725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.718136633692679 0.723625071826011 1.47929899438398 1.29151362158537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.458789695731482 0.46782317315799 0.586790943311093 0.557231169994675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.17313199633026 2.14090541325786 18.0904804476402 9.57389207901884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.589575140466609 0.602765608896315 1.15235343179441 0.938144404300824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.27637638201231 0.285109302509195 0.242715221310077 0.225799931746733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16713119699867 0.178689712176219 0.0911470426853521 0.0931802204609572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.8389416180909 1.83113928244484 12.4699167145713 6.74120984182567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.486413892938171 0.49173496021603 0.726348766612764 0.557798480139081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.249482801561246 0.258640216039899 0.187487907666659 0.163854114465754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.169280797690437 0.183724985595832 0.0920082947245352 0.0904090242988095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.13573849912376 6.13578457602958 147.292797340757 68.6660721913899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.22145801761002 2.21665796901415 16.258828877551 10.6540393965415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.19236322886082 1.19643865196004 4.252497279102 3.37219067803562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.762456405582295 0.772900349530137 1.66604794055715 1.46917718281101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.72136480629666 3.64980416693793 56.8173810058344 26.1702988530777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.00548299624943 1.01731377927278 3.62457896971222 2.58315158112672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.471047439247369 0.480595630105631 0.746655835454182 0.625862563206876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.283891245561605 0.299759793957456 0.273630451571843 0.254879360284483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.14791553165212 3.13724527974076 39.0784156963163 18.3259054637039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.821572792250921 0.827135106011226 2.22603043338634 1.46765682168558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.422734048704083 0.43255231764725 0.574872477526224 0.426130660365836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.290574057832904 0.306520483705911 0.293830105962381 0.233183997333672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.093477820726906 0.0800529585559514 0.02033184308803 0.0204049583935471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0343562962631153 0.0332676684624481 0.00278520753364661 0.00285746277927339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0236035582285122 0.0318837473265926 0.00161327908619382 0.00253169692282048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0241651069365002 0.0441200927312307 0.00226403653245455 0.00470596500101216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0792536455361177 0.0747951026511511 0.0166384733605896 0.0227648200281307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0363332801971003 0.0449617348727253 0.00449784073343251 0.00746155858075525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0385012730680183 0.066094742701368 0.00639786253857745 0.0162439021635971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.050416647321326 0.0993510330298911 0.011537278548264 0.0331205496479962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0583857489015341 0.0660800080833297 0.0124190119787402 0.0113211573243902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0219498640797282 0.0313145666170114 0.00147453041327761 0.00200216610008817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0235817195721431 0.044186738671925 0.0020198643886506 0.00319536862359569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0355234069444065 0.071559199850884 0.00531392148629487 0.00842752409024879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.136256212092182 0.118977853233028 0.0440642482741011 0.0413561916145075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.049778552459926 0.0469445259784121 0.00597891429257311 0.00554579399348946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.031026482797486 0.0374115276821511 0.0025188417374464 0.00326659838773405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0280728501966445 0.0463541507402676 0.00263740849074168 0.00500941634015818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0991415419866094 0.0938421891617272 0.0249146606231131 0.0312789524491125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.040479879801378 0.0484156389848182 0.00519928603328197 0.00811608459767385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0396487441442792 0.0670134694781712 0.00656121262363784 0.0164434614196277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0508158402400524 0.0996470181199051 0.0115883574166929 0.0332174684765343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0770273729439662 0.0815432709605519 0.0194800186407588 0.0160265806865752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0260365984875955 0.0344014614515955 0.00194659310261566 0.00230277136219142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0250234651827304 0.045024159897178 0.00214454335536466 0.00328296926034147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0362161941686253 0.0718735732327879 0.00537776337514441 0.00847714439994554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.217749721701192 0.19363210087336 0.117354460054178 0.103028121577977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0798139755723681 0.0741463986529515 0.015790200740187 0.0137398377425801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0461844020150549 0.0498823287730675 0.00528764878363971 0.00551443278732129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0365044713602221 0.0518843288536138 0.00375680362288032 0.00589598841256572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.14010574321858 0.132955070976104 0.0496939702530202 0.0555558580410288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0498048270916964 0.0565062025167848 0.00721875856787337 0.0100078919795773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0425602292434235 0.0692532931377529 0.00703968808237611 0.0169547441624464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0519023840869255 0.100426475686755 0.0117731775202891 0.0334536157819187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.113973170361141 0.113686009139545 0.0394932516838393 0.0301096011153472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0348831272661608 0.0415221765336685 0.00331390150757373 0.00323343064030199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0284323807938099 0.0471555707146585 0.00251338382639563 0.00352905059377717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0379584833894012 0.0727320841217824 0.00557715366472118 0.00860295873586807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.401360596341471 0.36070598943005 0.421702801804378 0.340959649000371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147680298846307 0.136097764743737 0.0558869046014401 0.0466929528410176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0814575807266946 0.0807755923339714 0.0165673615815275 0.0147479433476637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0573397366028445 0.0677501588018956 0.00826575620432602 0.00949308923174459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.238733004993594 0.226384000357295 0.151846086501962 0.147169142040448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0740588011353667 0.078295734796807 0.0151632654275174 0.0173436898414957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0513118172936895 0.0762412728992613 0.00887960450801281 0.0188645168118321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0555727931495275 0.103116688990958 0.0125167800038097 0.034323971073788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.200963282532662 0.190746526956086 0.117599081072296 0.0863644348105698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0568579168213799 0.0600441217716873 0.00867324942055983 0.00707640092389948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0378093420099122 0.0537662918096597 0.00394409844046666 0.00451708288379339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0430764849849336 0.0756267271947266 0.00633606961333864 0.00908220252903156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16432885373802 1.05974573414738 3.90547494281509 2.67664230265227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.431925280218383 0.395896545964186 0.49822290724977 0.393812730289511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.231984639522483 0.219029097416543 0.140268580973793 0.116582294575518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.150575918899201 0.149841410647117 0.0576133813183058 0.0500680196812729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.671928441650118 0.63468478227687 1.33816651864841 1.03586050296663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.18796144885339 0.185545753857061 0.101637245154704 0.0941360981328407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0982984260983163 0.118268112233313 0.0278056581535333 0.0382222103043405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0789085810715564 0.121947682440609 0.0200932519576786 0.0427954016179238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.573414159965003 0.528337657333102 0.971299581745741 0.66141040321646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.155859394453525 0.149184648721209 0.0663744887868741 0.0502670643832188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0849308410388409 0.0924930608114493 0.0192058029416524 0.0156846227657126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0711187754189439 0.095325582067578 0.0140112415457991 0.0141359031455119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.91808784467375 1.77752654951662 11.2673328516342 7.03281003300341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.717909422516414 0.657766319217194 1.40645389591942 1.06958505244813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.384873220884174 0.360942898967318 0.392570915107777 0.320676105966474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.246860477017188 0.23907185836029 0.158203935622235 0.13367895486914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11323069811561 1.05489568635391 3.89175186650136 2.69705364133876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.308631278889745 0.299868455627262 0.281931031784387 0.244179166157471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.151451550350814 0.169223578384856 0.0663185580574595 0.0766364622008566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107932731078383 0.147915342208687 0.0352163317861951 0.0593469274324807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.950392880978115 0.875480574400324 2.77686317384766 1.74367386186663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.257661173501063 0.243358554465504 0.184389058354224 0.137276494729707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.135788164081779 0.138595962342782 0.0504387187744265 0.0390686738519159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.103370916832778 0.121520918973674 0.0293958767580525 0.0244673127272383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.33466012400938 0.296638733426375 0.294657904485771 0.238950025150711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122603661342914 0.112044202348617 0.0389763541570508 0.032378398232311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.06815023420612 0.0687327025891886 0.0117712401356474 0.0107547627115887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0494251090749695 0.0613733501075942 0.00634631104564585 0.00794460867318125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.203189841557392 0.189795702531637 0.10886939279201 0.107143093145079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0647830678146753 0.0697828456540258 0.0117632992561579 0.0141663964784824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0477958882816435 0.0733596054857789 0.00804791353411765 0.0180764595954827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0540550483303931 0.101894269406375 0.0121937908131504 0.0340309556693452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.169066409929493 0.161090499654829 0.0858905446370243 0.062184725361052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0481757296896099 0.0531047464433041 0.0063478382241233 0.00548045284650937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0342063425150358 0.0510862782606445 0.00336555826386715 0.00404022918461213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0408633693471062 0.0745802936395591 0.00600568972610742 0.00883475029331627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.645836107432066 0.575314199760319 1.15785440888066 0.859810108664351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.237112482031992 0.215854198839898 0.150308903390086 0.121048577594355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.12824976761027 0.122648873108076 0.0429197610714587 0.036214815238146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0858839665176552 0.0916835044556276 0.0187238666709951 0.0179558288574734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.376149943955163 0.350256279915006 0.398149801414169 0.341892811944352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108701971591151 0.110583281178896 0.0333293668206416 0.0337751180480598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.064785572858027 0.0878209995432037 0.0128225345249273 0.0230666221596317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.061860283706576 0.107880713753087 0.0141231599681515 0.0363222357893608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.319338314579428 0.294286965618168 0.302898357766007 0.212921582075635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0867833289081831 0.0873195322328481 0.0207846931617438 0.0163947319992551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0518230587984696 0.064699288956144 0.00725287535403976 0.00674341280157573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0505974414867583 0.0810752304028352 0.00791871010219413 0.010109847608306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.26999749156361 1.14677735246172 4.77518081687896 3.18416322511719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.469958596363674 0.427346722420783 0.605996525460921 0.47084089556933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.251982034439601 0.236027521409012 0.170072091945808 0.139551238988709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.162805011193537 0.160527447311376 0.0692033958997245 0.0594925667534574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.736229460530993 0.683497057834305 1.63132680264158 1.21709711851127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.20425094856193 0.200726956875482 0.12202509890029 0.11132677869289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.105145470668678 0.124561861335402 0.0319770165357003 0.0424832738330025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0825108360055821 0.125048887374448 0.0216830338774701 0.04485870271688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.62829140006609 0.57111213910296 1.1999316848879 0.789101680797527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.168135804396615 0.162103150149132 0.0793415300721168 0.0611738458201221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.091494578310148 0.0985317217281829 0.0229819761269169 0.0181561256244733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.074226675182241 0.0991466283786985 0.0154337788259567 0.0153890525861757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.72423901513525 3.53607791588783 47.3327939790303 25.565107318945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.39398184247583 1.28112428645904 5.65628512543435 3.99850684113709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.749900301646501 0.696812169546297 1.56668611012729 1.22188377143683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.477847679217199 0.453629997992353 0.623253109956158 0.511566613143444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.19273408113563 2.07724647943343 16.7592311265048 9.76054933904353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.605923502460519 0.583868636386365 1.16129528582044 0.92378199754991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.287658510415582 0.301399767057506 0.255603291831815 0.249087407725252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.186537440995921 0.222922190031127 0.107985302271931 0.13354002775908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.87374370855571 1.73366214303043 11.9677290190101 6.42744715527692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.500582327535429 0.475159235767175 0.741893333795422 0.526617601589068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.261816704429392 0.25705833012251 0.203098693511378 0.145528488773202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.18358931568717 0.197714545789078 0.101080778199659 0.0754120007613494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.19519948563239 6.00669816658514 139.243073634297 68.1197736497288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.29340058637203 2.14232923221085 16.0398196405632 10.594512163264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.24057809510703 1.15563984287138 4.39925699903975 3.28665954501991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.791053504170382 0.748033969964004 1.7429927596859 1.39548821282291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.70548088056475 3.56114888199941 51.9226293473188 26.8912120822307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.02631393278573 0.98616878119684 3.5808221261245 2.5905110943069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.486238520775911 0.493334612080442 0.785649038205791 0.675461348921033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.305676467135844 0.339944484107399 0.313274682613129 0.316887438236498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.15370628219605 2.98662080058552 36.5811143840899 17.5168217942996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.839461034411046 0.800327102962378 2.19402050674651 1.42359882685185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.437808199134224 0.429391893365714 0.601108444904069 0.407033370162654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.301450713548078 0.313943185499802 0.295839468335534 0.20429420188355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0896734795502649 0.0759030725419508 0.025145288780113 0.0142643384146978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0335895023169726 0.0265685751413997 0.00286276486288239 0.00158596915720485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0186535417040954 0.0145938540459068 0.000894141920425551 0.000382459770881457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0123864055102124 0.0109025398445555 0.000396554166364645 0.000202005583706997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0510325241117903 0.040022139255942 0.00887540938121058 0.00378116562112545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0132729781032323 0.0146618559108959 0.000492512094636569 0.000432767288634595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0069284175325731 0.0119095135442933 0.000141757348788576 0.000196527004039751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00706014583313512 0.0149324583663793 0.000111876792757238 0.000382089106376049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0441934589376516 0.0321127716874834 0.00655151684672168 0.00236997595156156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0127278512809209 0.0082640408934777 0.00046944607081781 0.000137871599225355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00658427387243397 0.00484661423184244 0.00011786687396847 3.96542031944204E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00508172845031047 0.00472172564128549 6.69406232685685E-05 3.37468481631361E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.136587498902826 0.107310165927864 0.0541936940563956 0.0277755437766455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0489601441392581 0.0365808634103316 0.00616148231313846 0.00314926393061156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.027284559252845 0.018871769807845 0.00191168881251895 0.000735973513932441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.017986909786742 0.0135487147050815 0.000832862474006644 0.00036281539430917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0813839017940327 0.0556345220864754 0.0199908301764315 0.00775331470231941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0194899662745918 0.0179996344493011 0.00103089974106299 0.000728640744710674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0099410999764514 0.0127873094463919 0.000274155938831904 0.000234634377344282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00859411695532252 0.015138688084732 0.000166295123191428 0.000424516300425548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0668512173152527 0.0460165022441307 0.0142444218475727 0.00513445916580869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.018324583234633 0.0119975364257317 0.000940338177270159 0.00031902888640908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00950800013450092 0.00679174394741182 0.000246143853121747 9.3847780465776E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00700821244229269 0.00649525287515489 0.000135770283379593 7.58962922684067E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.220365969341096 0.171133198728422 0.141636389806593 0.0671680658832003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0791839401253214 0.0587925913825219 0.0164317486968748 0.00813429124477968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0441426050543612 0.0299387583129846 0.005057810062934 0.00194094564427373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0291214082909296 0.0206413998797542 0.00219028764888902 0.000921212061748403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.133641978337521 0.0898116679318179 0.0525797117810028 0.0197188250730915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0317050247408801 0.0266277766712105 0.00268396704521867 0.00167255485985401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0156896728385576 0.0154468546643086 0.000659217074245939 0.000379276704351005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0115308136147361 0.0162271899469698 0.000317486190010689 0.000544438829189908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111912445691573 0.0761429464190483 0.0383275127709697 0.0139092798814995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0296999388047956 0.0190304308307661 0.00243611155697316 0.000864040147374825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150701639987691 0.0106771708676096 0.000622601294342399 0.000253853077321993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0115249136931765 0.00975208004800308 0.000374736659240059 0.000193320189627049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.408760414727208 0.321814180548305 0.505063910940105 0.218178160150667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.149781944459307 0.10825390114164 0.0589333053752661 0.0277195324489661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0835012984393797 0.0548788527455521 0.017990218545134 0.00683516942396515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0548912021692865 0.0377157406286021 0.00774383098901129 0.00326758364754713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.245142855428049 0.172586827162157 0.182590835750207 0.0680387419663688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0596694136921154 0.047515065932297 0.00942334250411219 0.00550867346962038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0285976784327013 0.0232436263630746 0.00217348038712527 0.00101559220357585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0192505482946697 0.0209272365255921 0.000943541402636581 0.00103106882818932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.212932203403127 0.14536084664174 0.13687039523607 0.0489528198901895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0560886561789089 0.0351509478992638 0.0085899908949229 0.00303654319560211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0278103855295934 0.0193264125883048 0.00213913112673753 0.000886511577372154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0219849437111204 0.0173464554097533 0.00138400071904839 0.000658102591597672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17240768448785 0.993041466192189 4.72330495500721 1.76826801562752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.431012253570987 0.322971745354893 0.516914934425145 0.229271647973688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.244896338989766 0.159963699964184 0.157540492194813 0.0588011608912172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.161955114860192 0.10902403680178 0.068294409678383 0.0282856048451847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.6764577038171 0.562381202647327 1.63459364674532 0.584597375414815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.173905325135019 0.135378459035385 0.083577471777081 0.0441867166987765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.082847951490838 0.0621787173858457 0.0186042241713895 0.00848116598814827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0548713023210451 0.0477021027635086 0.00852718979716513 0.00586413727099613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.587929009989251 0.477419764500338 1.206321542279 0.429463713112991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163376531258946 0.105779413614925 0.0759005638711401 0.0254363753400401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0813122742807939 0.0555757843515513 0.0189570238032518 0.00733343459796191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.065123151371413 0.051019776220459 0.0127545685721801 0.0056591679539769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.94270098130722 1.69879140132162 13.5394948536538 4.89073338957107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.69526294167099 0.556109320460774 1.43078400731162 0.639838894002681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.399688119541999 0.271970240597853 0.431716869762163 0.164917664682992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.26794071656597 0.181513707182406 0.190331292070044 0.0775212456006871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.10886791790317 0.988637523806468 4.71241619247485 1.65380932689289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.286613749261481 0.226216587084421 0.23710759978743 0.118058146849439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.137718167213264 0.103192415500366 0.0524279801253184 0.0237353381945645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.091466403594915 0.0761709805354936 0.025313929826339 0.0148767371379062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.957734455186213 0.845499164987808 3.45552501226329 1.20708577179212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.26133447722939 0.184253319856613 0.209236483022937 0.0688309787477797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133836501988254 0.0940194930892568 0.0532597653934574 0.0198322669908223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.10701178852703 0.089027883516958 0.0360009205983971 0.0165926706370294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.331605594187099 0.274733535414811 0.35201112944391 0.168583575896266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122603015646172 0.0867288591323628 0.0407128706216875 0.0190523370259016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0683968964316312 0.0433494323052395 0.0125690548287076 0.00462009640390392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0452134365245632 0.0297587368997831 0.00547038512652119 0.00215304409812572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.215146124952051 0.137917552542875 0.141899876835672 0.0426459319425623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0496760597155393 0.0378272157312635 0.00675268955402384 0.00357660934300717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0238911073520033 0.0197706845328118 0.00155854156579613 0.000746103118668988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0165609909769825 0.0186917529236692 0.0006747350383894 0.000747661279588109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.170545262788637 0.117856190098399 0.087874535431189 0.0333978367254113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0451623590115777 0.0299080518469321 0.00570966177913073 0.00212394435598477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0233363777598239 0.015291708589295 0.00152751936796482 0.000526680109426658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0179362974494592 0.0129891501330561 0.000981972539183231 0.00031143669953761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.620360912522501 0.572208744685685 1.34366265204596 0.658648471115709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.237992718903129 0.174407251708994 0.155441349131384 0.0751467149331874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.134343864441039 0.0861021141208461 0.048317826698449 0.0184436842973098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0889205102832844 0.0585387440938771 0.0210715790491844 0.00859253272423212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.400000557836236 0.285755235136269 0.536425459994584 0.166046872873007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0972441968360588 0.0735584982246366 0.026092560233038 0.0136383682447708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0464124398719574 0.0340709560014179 0.00585950524509159 0.00256012638617322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0306852550492181 0.0282039746719104 0.0024719076167016 0.00192460805663641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.319264414860672 0.242557775916972 0.330447785147686 0.128751796976692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0891428055534991 0.0583594419049779 0.0221505559572369 0.00806358474338074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0456486430573508 0.0297306091117049 0.00590144326229474 0.00203822741832065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0348912482383475 0.0252801449035529 0.00372122270147877 0.00123803998641094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.20880208831841 1.20521488080874 5.50885681832811 2.63542289200787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.456575013051796 0.367515971077648 0.602235428480984 0.313397424627897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.263695832194755 0.177535816821939 0.188439400920515 0.0776979865117634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.175912595138658 0.11884032565201 0.0829023039944074 0.0356069338939327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.750161307322538 0.61605892270816 2.14385915217473 0.682454554809119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.192488594422827 0.147359366276926 0.105773812800034 0.0532359822145711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0920557629869826 0.0655353336095624 0.0234180708739475 0.0100720293079153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.060442617394518 0.0509510946126446 0.0101870999481926 0.00653669866757948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.611637061533168 0.522367241147352 1.33814751728175 0.52158209774912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.175965237660088 0.11646161042796 0.0888737631433254 0.0306480666858991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0905489847332544 0.0600963961835992 0.023732672982991 0.00813745644243245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0687632273805886 0.0513500760247955 0.014743209644581 0.00517418025043035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.60723849025737 3.80835610925621 52.0212196511793 23.8404714379424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.25864493912989 1.22397310765505 5.26516041727146 3.00470905058034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.723102621256801 0.599053354414457 1.56569658419829 0.799263138487573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.500600714107909 0.385035972016162 0.708586461963927 0.353854623529845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.20066516794567 2.08500533139884 20.6086495808979 6.6000133894534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.559569776277866 0.469331631291226 1.02989796908011 0.473609094353053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.273276910338718 0.203493481158235 0.221306762852057 0.0940064925616271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.179983095643717 0.149012242127607 0.10243355469534 0.0540452212549747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.80316991964938 1.74979349113321 13.1182610863036 4.88592335590156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.496348857767174 0.385936364905333 0.818010828632824 0.277366406595813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.259518132155272 0.195253325837453 0.222668866868389 0.076088467548751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.200322875562755 0.16546097759612 0.140232199222551 0.0494666318121567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.02475149406221 6.42604891081217 145.955408543972 66.3317795827667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.05920021697912 2.09982338143107 14.6293274167942 8.40089748213631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.14488659047093 1.05473918951456 4.18300576729704 2.32113188153318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.79129741009605 0.677913654175348 1.8794877042176 1.02900194682991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.69888815025499 3.59892117074065 59.5882657982481 19.1855890964865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.933227357988169 0.824999823661138 3.11866841389782 1.39840976589782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.451527956737631 0.362100613728915 0.650652466486291 0.28871079382516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.298224482824504 0.259079703383213 0.306323532985103 0.158047400775066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.0422690208985 3.03046840611286 38.4204077521422 13.8228094044066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.814192434254184 0.695438163636491 2.39023139167557 0.801326266385328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.425803097044153 0.354901983448655 0.664189043148117 0.224629809684435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.332109473516336 0.292831070898693 0.420378390502084 0.14269613326473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0772537753943 0.066900515830925 0.0129021102192162 0.0137557434477909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0251300619840028 0.0255460380012074 0.00133461847515317 0.00196184215260936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0132504178105955 0.0161235866217327 0.000372979759433823 0.000798004316499384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00924967063472118 0.0147780926747708 0.000177135351496003 0.000690590703430233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0574920527036341 0.0424036591349339 0.00835466264066435 0.00599914054172035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.016725249552217 0.0194268924645023 0.000780205832985814 0.00120001463216184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0101649266453468 0.0192526393484 0.000283918685929297 0.00111911726380959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0105028271852517 0.0259625378902038 0.00030436076850099 0.00185548557422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0419417564586047 0.0384198523171245 0.00620089334562114 0.00388828419381821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0125252976286898 0.0132479211816589 0.000405100900577262 0.000497258881948236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00822701575962776 0.0108949757798767 0.00018332561181394 0.000409786390615741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00939839282996757 0.0153401165643478 0.00028087644024451 0.000982239765961732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.138808583141671 0.108373027139719 0.0460322435788283 0.0342971548797193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0479975454866974 0.041771107597505 0.0053684170452266 0.00501561633686465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0254728277018812 0.0237184337354559 0.00150967366927876 0.00170645549706425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0167782012973669 0.018524407639096 0.000645812125898676 0.00107874883339883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0917432994045959 0.0691095893064155 0.0213856933251533 0.0143876003502456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0256625725133453 0.0250278779714088 0.00177933628522636 0.00192553011314015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0141677888842169 0.020385204407455 0.000559029855972935 0.001274106612692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0123386088141873 0.0263302614745577 0.000430725249831721 0.00192686177609651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0708891747383271 0.0584399169841865 0.0160893133866849 0.00888402291627143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.019494158326499 0.01788470504849 0.000979670574554992 0.000882264647471256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0112124729384282 0.012665316408782 0.000309015941554132 0.000543795721068817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.010825582459963 0.0159539956432792 0.000326515335845789 0.00105290434223927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.239557566819481 0.186436812379508 0.148336251283016 0.0950659182172318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0850421300818941 0.0725333962565255 0.0177863886864095 0.0141692497067048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0452974707214439 0.0400080732894516 0.00499450962553122 0.00447230003116296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0294395866222727 0.0276011560504276 0.00209344008743022 0.00225500877738992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.151942959676391 0.115310152778319 0.0611443982949469 0.0374453928993214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0414085085900913 0.0365735620142837 0.00476158783927916 0.00393238890817358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0217928624129719 0.0234514629897013 0.00137120505826567 0.00171688606921459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0161725060561957 0.0272398376598461 0.000780604824621172 0.00211365709091506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119917316236817 0.0974172141835781 0.0444749470695596 0.0244610544667918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0323433955187401 0.0279355420492342 0.00273267537787512 0.00207141785051473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0174055021106703 0.0168881600551828 0.000747279858677585 0.000924229724926224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0149105809456109 0.0177909971345477 0.00058380457270969 0.00125765586945362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.456078245648411 0.357696171587007 0.5723767306699 0.330503029967355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.163784089837368 0.138765228332204 0.068615009236447 0.0499931679254652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0873703537514841 0.0757936021555739 0.0191923443843027 0.015214483675522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0565149909313915 0.0498238934265396 0.00799854422003536 0.00683948353293221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.284042669743404 0.216602168018367 0.224390270719473 0.126096246008181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0769624712617691 0.0646213484436257 0.0168960638048876 0.0117629100406433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0395808657708723 0.0339358451532645 0.00465249099428592 0.00351654330148463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0264718687056476 0.0310097360658156 0.00218563857475593 0.00287068650524584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.227230800892758 0.184525946041551 0.157287504881719 0.0863615856892104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0610859109945147 0.0510649695812507 0.0098833187150353 0.00675630046050916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.032038989494392 0.0281298579122418 0.00259604098407653 0.00238906957655583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0258476256032179 0.0233002813775577 0.0017505207848871 0.00201062992488213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.31426322002369 1.08846605776125 5.31083209353613 2.66924491382537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.484777751580068 0.41043664501972 0.629672094378765 0.416912420758233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.258796411357981 0.223083498164405 0.174262233166111 0.12554664645326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.167228939390445 0.144511083050656 0.0723661848787666 0.0538004720986462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.8278460214913 0.644213564591146 2.07111404811291 1.01227342215897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.226429784919982 0.184338642265084 0.150802609492684 0.0921780206274127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.115430722549915 0.0873957957304977 0.0404699099329893 0.0220612673271421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0741452233040991 0.0600727752700062 0.0175439931109543 0.0110355800566335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.6572749446802 0.539551517341985 1.37867481521969 0.673576345066522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.179888577875775 0.148903113743197 0.0884200806585596 0.0552059330287468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0936554371347674 0.0787455335608536 0.0231536017841651 0.0169330750666949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0741169618294774 0.053682246393924 0.0149695850858493 0.00899364113810325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.14393639695505 1.8621085406099 15.2992400076184 7.19302514319538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.80379532914801 0.686080414567252 1.78134200725395 1.12508587607379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.430258926927105 0.371376746466584 0.490116381813802 0.340328422043443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.278059069388956 0.240146927731043 0.2028267849097 0.145523676507088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.35540478082122 1.09890090281827 5.92254707608199 2.72658277596336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.377666684762605 0.306628086852744 0.428364074063815 0.249811037429641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.192379038660633 0.143570653485573 0.113675508197337 0.0583974310278123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123161227101685 0.0947488556750044 0.0490659425042327 0.027162213147775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.08501457178198 0.910175197398418 3.98184999659927 1.78664256121483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.298693257886278 0.248780867051126 0.250114508802754 0.149226852993979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.155564852863475 0.130601463904869 0.0653488242734893 0.0446591667536805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.122515529065588 0.0868755573423215 0.0417401340076414 0.0217087367178247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.357341180904388 0.278326493627498 0.340856034802471 0.216273754850915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126909212065208 0.107639732940098 0.0410854103036235 0.0326523036457755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0675333781700179 0.0588085740659762 0.0115167133499776 0.00997194415894079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0439325524976139 0.0395078215500505 0.00485540127316624 0.00461768740023141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.222310877463271 0.16824569921202 0.136695995351748 0.078004884293561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0601394711587799 0.0517798492317744 0.0101982294121703 0.0080149660765329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0313587161690348 0.0287950051794441 0.00285932119192357 0.00268415758099694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0218131867201991 0.0289237427441629 0.00145781505523645 0.00250073221369422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.183488399525009 0.145213689885337 0.100340006516279 0.0544369242160968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0493238285255529 0.0409541537607176 0.00658170092222993 0.0045302703155069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0257434833771189 0.0228412768722645 0.0017494645281908 0.00161420403416233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218530054859107 0.0206498146580536 0.00138408474718086 0.00158735721452545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.696324162498194 0.552957742791832 1.37478482255462 0.800718236119238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.249834171176015 0.211490926836221 0.164727123089696 0.122972733965733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.132848393305336 0.114764948062987 0.0458187340073135 0.0368521411972827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0863310436759872 0.07505452842034 0.0192453320967511 0.0160298086121668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.428174407360607 0.330904987720277 0.534674926507296 0.287981937011612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.115486072641669 0.0986185942322677 0.0385523877219715 0.0283863982311766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0594165959304877 0.0481697169435379 0.010482448834173 0.00743049195757471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0391917136406826 0.0379027284536235 0.00481007377417436 0.00453909174178107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.358006171105735 0.280555681313656 0.382050564775347 0.197911599885254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0956653028828241 0.0793130621728058 0.0252205182849884 0.0165484032704629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0495774116627397 0.0419496066666594 0.00663329087072937 0.00512577451317435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0409611941635872 0.0316303008310708 0.00493713061497089 0.00339660628672668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35345312063164 1.1332564380639 5.66925038717499 3.04676348298429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.49808041760988 0.422243948943872 0.676214432522546 0.474036661117264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.264781917571937 0.228260858639878 0.18610186483967 0.141910726778596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171956831347849 0.148390435176647 0.0777674204954328 0.0607235008024994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.838491552624263 0.670589349280707 2.17484403011505 1.10450058990865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.228878481414864 0.194940150506662 0.154956074466022 0.108400045297253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116979550587659 0.0916741841548675 0.0413298966408694 0.0261598995223428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0756996569184412 0.0622075292221309 0.0182079203376092 0.0125497778321754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.701241256781205 0.55988254441151 1.53713855924963 0.734801973930161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.189328190322331 0.157521529348707 0.101128417556638 0.0629399140869047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0983185313494406 0.0820496115912338 0.0266525493566938 0.0185902629526596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0804907882374843 0.0580735155678249 0.0194436124491648 0.0102516412553302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.88934028749501 3.67867778310287 56.1409330074524 26.6083084386154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.47240094778087 1.28611941051054 6.46432598834459 3.95677294022082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.791835183021196 0.685023746395739 1.75005326851417 1.20027275536359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.514352110944633 0.443693089020975 0.718943812504566 0.516040797201547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.44053954112867 2.15638150926166 21.7771901171918 9.81496338778861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.690541912068666 0.591542590992115 1.50920396629856 0.930771859375937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.352085346848302 0.275380079391628 0.389344805924946 0.222805619827933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.225325592071511 0.178333777142249 0.166555150956556 0.0985582487506938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.02817605921262 1.79600804261955 15.221661979531 6.21693347894508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.561073756225087 0.476897248480262 0.966305525559344 0.516757226800025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.29176313472289 0.246627486388959 0.247381194325765 0.150035952239321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.235435373911803 0.177956973978623 0.174027239989237 0.0811154829236641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.49645687198584 6.35082928489833 165.535222546535 73.6826919832987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.41278040545541 2.18220997655265 18.6305778519737 10.541496912515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.30778682646969 1.14596348693626 4.97675445711884 3.19084974073649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.851993387436254 0.739291714260874 2.02604890220058 1.38561507249341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.09564098719341 3.81030427590854 66.922837685835 29.0946791553272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.17328405096716 1.018305477327 4.68414453772017 2.66300371899284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.59680592692043 0.472625541644452 1.17102456927517 0.631847748358817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.381647355780758 0.307423358226857 0.500434942126233 0.286257804461299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.41544192800788 3.18937045815837 46.6528412649844 17.9281992049817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.933356590453462 0.818700204223664 2.89284653727417 1.40369817359078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.483929788781122 0.423140578180878 0.72519393964957 0.404505068586022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.385519229956561 0.3194413154942 0.509446113370721 0.251033442972443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.091124573051745 0.100354200057429 0.0233106697351284 0.0321026857558789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0320769304184945 0.0411928021310216 0.00281467682760809 0.00456692975362782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0198836739948933 0.0359126846992809 0.00151337695248061 0.00319575273738374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0193802704604417 0.0492263262866373 0.00234774879659344 0.00599928417801782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0717615940949427 0.0821153014680936 0.0182854783468116 0.0269006303148161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0269326248926414 0.051341823833505 0.00345574834756152 0.00850274489154299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0263851386787101 0.0713887478956931 0.00515139099198207 0.0146913448301301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0386040358601707 0.115443759971664 0.0120297627894486 0.0342084322142126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0548372406452786 0.0622155494406726 0.0115446943734824 0.0121073210796071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0194761339551825 0.0287640944812125 0.00182450672498044 0.00251122937762592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0190347264854992 0.0404493151670146 0.00331555987847736 0.00553079257173434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0253500966971719 0.0637449838580666 0.00794028480966992 0.0144289194287765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.129479282313265 0.145383229792288 0.043814450128678 0.0634100307956751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0465772962217053 0.0572251047119201 0.00569724529136294 0.00870896192196478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0272777741668711 0.0428568647170426 0.00242954955680695 0.0043460416678237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0232966293291117 0.052207840055316 0.00279227267056105 0.00647665034892763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0925832344028705 0.104146102148151 0.0264776338660982 0.0374011399578372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0324302239596936 0.0553087699411599 0.00426791203972411 0.00933811530444936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0284039786747855 0.0725239576085691 0.00540806652416869 0.0149255235794624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0393884001833474 0.115860378317774 0.0121640432159973 0.0343433126371233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0722866777700259 0.0833479070310834 0.0177230117798295 0.01909587805207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0236947227410287 0.0330888862012604 0.00228739798094505 0.00300281955972264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0207972243583224 0.0416060662873158 0.00348417436544663 0.00566006948475266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0262224207561692 0.0641327486810072 0.00803837369824774 0.0145083000035329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.202725165146917 0.233762592568517 0.107029443498545 0.153861405462825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0751890399616474 0.0899500941014078 0.0145654852476501 0.0210787736448611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0424145297883194 0.0580148791648227 0.00515748258312265 0.00776371135950164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0319701136903921 0.059131817196099 0.00405872690524684 0.007842210965086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134674887376932 0.149505949572969 0.0512880808286259 0.0678636171682833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.043922163170514 0.0644846616507534 0.00663218508389838 0.0117424507900907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0328141533606834 0.0751175859556812 0.00610069070513707 0.0155367211811373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0412159907903718 0.116818671529949 0.0125115889344306 0.0346538839442852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10779548344234 0.124651698270467 0.035904800650009 0.0396793428855906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0326371038524267 0.0425351891416666 0.00361502515531108 0.00446431845716705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0246562598116042 0.0444952575948832 0.00393778124076693 0.00604850535755011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0282292701479119 0.0652147494090698 0.00830471568944589 0.0147232635461001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.371010272257726 0.432387523513452 0.372798578024635 0.496761916338595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139862155363843 0.165030903891874 0.0507027219859839 0.0700567326162225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0767689484727824 0.0955547282586654 0.0158479361604495 0.0214951976972822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0528665597078889 0.0784669779020045 0.00876143478467758 0.0132404077947437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.23406866278998 0.258034999449111 0.152663796651339 0.185010656665508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0720297731045677 0.089773261562903 0.0158474089635513 0.0211695800918597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0444239510944026 0.0827281971203661 0.00858891925598286 0.0178013412942578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0463374456405386 0.119722195645096 0.0136758689790183 0.0357466806439621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.190929238036795 0.219829603274965 0.107700346442992 0.12073621305374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0543158196704431 0.0664388031649539 0.00867557937927283 0.0103375722728691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0347172352281077 0.0533470202397488 0.00555276979898866 0.00759683955388431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0338554848451395 0.0689616802119548 0.00922238405863097 0.015545588797624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.09897880343445 1.23504078038076 3.632818128832 3.61916901780095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.410130267245821 0.478287030009376 0.450487541433934 0.5754637689154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.221221802181271 0.262159651053744 0.129344910047593 0.169192999508882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.143220882813013 0.177681008245733 0.0557885194007543 0.0724116418553169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.666159072001457 0.727734632938787 1.32859253101206 1.33433441810323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.196468029443429 0.21626299608684 0.113469845508745 0.121968566622495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100503503208631 0.129903182952053 0.0326210843238696 0.0412316159456693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.074800288584019 0.139190015694591 0.0237640610677623 0.0462182670262162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.550707921117533 0.620667411598156 0.917539391748641 0.921499081799373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.149519576501889 0.1747580318124 0.0615713910145948 0.073196498661536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.081945707155231 0.102720406802311 0.0209443347707764 0.0243650955726743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0631056932924976 0.0952597575305432 0.0172930096111558 0.0240377011279857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.86240642732732 2.01680506603223 11.0931675127164 8.98231799962165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.685779985463693 0.789502525592511 1.29210505638343 1.53052985516123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.367888221810155 0.432008839827545 0.359605868781785 0.461498698500783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.235792509538466 0.28453758648697 0.14874906732812 0.192491212937866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11594788445396 1.20122844955177 3.94422406649104 3.42790545897727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.323972492125766 0.351947119788158 0.311832898347272 0.323448966390733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.160063960983691 0.188616814395006 0.0793128813258398 0.089079647212344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107959475125687 0.167645182799825 0.0423197706821044 0.0669807541218018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.924293347626868 1.01885137559038 2.7073421336572 2.36489712540672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.247385909291219 0.286175935478593 0.169841458844822 0.196161761554413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.131621168256291 0.158219710579937 0.0510557196786105 0.0581726183218676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0952221867853048 0.129391724820159 0.032291389661094 0.0410529240311588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.306042459246188 0.352629793994043 0.256356728545676 0.343665378781731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114261179790789 0.134137482439397 0.0349438198033565 0.0476472136293777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0630582936263422 0.0796879517386747 0.0111811703898878 0.0151227518106154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0444751632267045 0.0701593957331391 0.0067288330935951 0.0107366453526246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.195888856709845 0.214482726795869 0.109897350955225 0.132837630428532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0612114718403638 0.0795163654576293 0.0120045760028143 0.0169881527935579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0397218976843665 0.0792525069905174 0.00752986128673603 0.0167027314273677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0441735714973442 0.118154417001636 0.0131620414211441 0.0350700218729363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.159589497569321 0.18329133778996 0.0777974802657166 0.0862736682483164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0459668389033175 0.0573057362918845 0.0065273838228705 0.00786332656835329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0309434321815158 0.0501028620634701 0.00489186599523966 0.00701139937854141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0317814380586575 0.0677392538038045 0.00893623917012366 0.0151928423258044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.59036035701325 0.677275614967076 1.01244292822766 1.19667877203186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.221271946772941 0.258162497270723 0.1334976773314 0.17522132181335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.120093333521825 0.143895172061016 0.0396469081539075 0.0514106762846221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0797499613921798 0.106134818013738 0.0188029807091202 0.0250882819302985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.366398712972478 0.39881292097527 0.395533803703704 0.431915383667093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110025434693846 0.12620997619082 0.0368187299981191 0.0420375412097023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0608015747138425 0.0947810588304158 0.013809566184872 0.0224929335392918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0540548283066653 0.124037910566437 0.0159055259309465 0.0376191470359157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.302280953374392 0.343660763166877 0.277418612704136 0.300266424373866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0833505269430378 0.0994518495349666 0.0199719464137426 0.023970725228038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0491927771881981 0.0682218251684906 0.00900345014488583 0.0114068793886515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0426968855456698 0.0766477008207277 0.011282870129503 0.0174420163538274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.18740779385217 1.314961991214 4.41466788969893 4.17179923885699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.439789764080493 0.509118756075547 0.540391953921885 0.670013460640721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.236662716068831 0.278217352670957 0.153828429582493 0.197000661223189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.152821390906502 0.187651342312041 0.0656340009792798 0.0837782568435405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.721264248747723 0.777968608937769 1.62222001858381 1.54370456941096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.211865775970727 0.230773040162072 0.136183129648841 0.142578620445591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.107069239111072 0.13580931268179 0.0375883684691309 0.0457605814762901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0782351714857908 0.141486812995044 0.0256341494152126 0.0476912614353873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.598428583936607 0.667174476454311 1.12547106068159 1.08850493879608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.161456263003161 0.188724042036134 0.0737939181110173 0.0881906743715618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0884409759022311 0.110988958797778 0.0245481834660864 0.0291099388517867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0676872860330449 0.101251099592381 0.0195747171084772 0.0263797444077291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.69839246920089 3.81434490318383 48.810175485478 29.8949603284836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.3422379434955 1.48246139509946 5.40263563994675 5.27802279630123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.71070995484375 0.815944364035882 1.4235194343402 1.67464853512602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.451273913558938 0.531567913793735 0.564841563398405 0.710274843203579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.21822676370651 2.30047389927176 17.5120748144401 11.7310228833895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.630432864684233 0.674701010487274 1.26629268119367 1.20163531281526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.302464443059689 0.338599678535871 0.29055842607175 0.305712390226245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.190261760225342 0.251408686031658 0.121880346266797 0.160911802738533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.85553294626735 1.9420210661563 12.2254216346918 8.02154478805012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.483634616444557 0.551797263142325 0.693467492774555 0.729776101203163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.252755117199592 0.298681354918073 0.193014473624671 0.215162056306682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.1764531185967 0.225247209231818 0.10384635957965 0.12192473728309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.26707960808435 6.35754601264551 147.568317919949 77.118791347816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.26877204543179 2.41643113010706 16.1665453943786 13.2672840528907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.19313226955443 1.33446733885817 4.12134421552075 4.34774980624501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.75264580384303 0.870734656832376 1.58637784060661 1.89796301820542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.8050152755467 3.87838270649365 55.3120069331389 31.4298142214805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07198061465688 1.13723913605584 3.8952091251868 3.34299554161911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.509108629545898 0.561646844551365 0.849348640469023 0.859767126526873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.312245390610229 0.386926977276368 0.326654024956584 0.406783821755922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.20210255491073 3.26799575254086 38.9740589733685 20.854086061357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.821061284269431 0.917068472680844 2.11540434444359 1.90575550175915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.424686605028878 0.495167216064283 0.566467676248682 0.577669495922881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.291950977467738 0.363708033078419 0.287143906205501 0.317722175400259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.053651199846705 0.056100161665887 0.00975720845340397 0.011258149488937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0215993733913043 0.0223911449132697 0.00138351326396878 0.00164270819611516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0123085000704394 0.0125995755148294 0.000387793570817806 0.000505449865396497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00953391908059569 0.00966279888834773 0.000201291814133622 0.000301593478404816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0349889533913747 0.0374522252340252 0.00381520964695128 0.00442940998727587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0139922813058682 0.0145755721558738 0.000575337443612428 0.000632261737815699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.010245650212444 0.0111969462344547 0.000301324976796395 0.000374545053593129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0121494822201347 0.0132261340313886 0.000458097507117855 0.000543314860720848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.02964712584452 0.0314586488190353 0.00288821547676335 0.00305876072676008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0087822628935948 0.00889178532721658 0.000194436868614955 0.000235348337135887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00642078338946978 0.00604339265824915 8.00898624404658E-05 0.000130076707107404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00753070141152086 0.00706393939352954 0.000101180644655547 0.000207164068718381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107740422212173 0.110629188741113 0.0334516597339943 0.0347183038779123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0422017453835737 0.0432178545411018 0.00471934745333317 0.0051870811565444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.022920647007253 0.0234056135864263 0.00130194986130631 0.00153619582664313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0156839681047902 0.0158304386150684 0.000561577918348428 0.000734378747178546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0647751864103667 0.0683532471923263 0.0118853794662762 0.0127928174191299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0210950692276668 0.0217630969946051 0.00126233433026232 0.00135489908177812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.012730305438173 0.0133569796833274 0.000449340345856653 0.000532662322171482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0131283669831461 0.0139508344965743 0.000518776990693426 0.000599932242128374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0570869281012568 0.0595302961893698 0.00940697461474001 0.00945383793620376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0155769251688568 0.0159709260012223 0.000604783684556222 0.00069093555884299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0093437894725506 0.00911054243077496 0.000181146129965935 0.000266655255034607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00903683394224214 0.00860797132222614 0.000145889953744878 0.000284837901550912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.192825755109275 0.198236520410249 0.10770916417922 0.10179400894561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0756510722796479 0.0775943822017301 0.0150428721602233 0.0156625098706823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0408802940717366 0.0418819897117581 0.00415822929465504 0.00460083450602573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0267825287395971 0.0273513697702183 0.00169485589470861 0.00202521460012557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.113934571262941 0.120128417259515 0.0373001354671227 0.0370556663518923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0346987199688357 0.0359778568617756 0.00338694839726416 0.00356116918536279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0180736724093132 0.0187617182659243 0.000897220063744021 0.00102279292190799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0154997019233859 0.0160028487258192 0.000695449897813973 0.000781890601063345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.101148873382184 0.105041043602383 0.0295108859693419 0.0277495643877268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0272222653776645 0.028044680081335 0.00187035535386418 0.00202707802522176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0147810538332426 0.0148394317875202 0.00049754624444965 0.000650455282647321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.012113538907807 0.0118489368589007 0.000281046869320426 0.000492866252157248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.373496801590961 0.383971693859318 0.424901755881696 0.350413052617111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.146721776126404 0.150748070662244 0.0578407196126957 0.0562859797929777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0791836032810814 0.0812441851460398 0.0159020154212733 0.0165840217846861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0511058925331031 0.0524708911804697 0.00638625052676957 0.00705970179627561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.219866173412714 0.231103464420787 0.146600237418663 0.128861211733002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0653596857538928 0.067814691607506 0.012160766475411 0.0122445497718372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0313255682356619 0.0326460104105503 0.00272046442555737 0.00297569625715593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0221059068612214 0.0226767295328706 0.00138757416188186 0.00152308054784699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.195024899022719 0.202016747973807 0.114949662075294 0.0965599616921917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0522470104909063 0.0539847157794773 0.00707626078486808 0.00722084386001381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272365695308666 0.0277351912418428 0.00183372587926861 0.00210998304026053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0195139962646782 0.019808850686282 0.00085077761905029 0.00125294072063093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11887546420305 1.13903058969288 4.33331404921593 2.62889671067004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.436325547533224 0.44743300693951 0.552892142777854 0.454171168663214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.235156752795758 0.241374916859057 0.147795251994842 0.137775326694164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.151006563871065 0.155483213751468 0.0586839832039349 0.0584348337711621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.661165811099775 0.685650060803834 1.50728271696783 0.993727893911375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.193144301350712 0.19938148459452 0.11300054477139 0.0995393702518827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0894314296249269 0.0932008603840716 0.0230171298821776 0.0230056577658603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0551977851442372 0.0577276274102138 0.00889551579571727 0.00925825183264246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.582870829261493 0.59870392745712 1.17189659814541 0.734723931559759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.154713908590902 0.159738416130333 0.0667491896199989 0.0586600080162442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0796558070722603 0.0812914396035908 0.0172917193166176 0.0165102993604359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0529449618838874 0.0552284561805145 0.0076412782809936 0.00854714623211845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.880310841156 1.90468432596425 12.9494022721356 6.8424454425071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.727579856906258 0.743946662305645 1.61949838424345 1.18837112960316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.391699583010951 0.401465220466016 0.425246127406826 0.367191304983763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.251349913319963 0.258621236090975 0.16744507534235 0.156920306494281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11405495993785 1.14572011867436 4.56363001519845 2.5863784896756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.322483080892974 0.331938219895206 0.329981635920133 0.263724247831857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.148752652858681 0.154696861252284 0.0656294455468288 0.0615618192891771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0904344508893099 0.094731513962103 0.0244575220183005 0.0242231661192608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.982364318769255 1.00276387650805 3.56312875421023 1.89564493248527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.258007171187631 0.265850567672421 0.195648467293993 0.154194089785656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.132634679273897 0.135269961796774 0.0504634808002333 0.043470000818647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0876712294585347 0.0914726010518437 0.0225094360590026 0.022196661929231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.299880459171555 0.309498401148331 0.281310049714852 0.247019446722299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116726903731332 0.120250594352983 0.0382981820562124 0.0385902200703359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.062590495007255 0.0644036982740207 0.0104650906149231 0.0112308318648948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0404702699631385 0.0417029066946225 0.00420109331252757 0.00481348519032465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.178973225714773 0.186201501046733 0.100050520731345 0.09088966121304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0529512038220794 0.0551077483212933 0.00840817788011797 0.00868539206098619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0258493930189956 0.0268501771661044 0.00191966224273848 0.002144104185125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0192421515125998 0.0199768555159077 0.00107552177895987 0.00124573367999117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.156994153444858 0.163452896047226 0.0761331658639679 0.0675298480972645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0419921375479283 0.0432911601626639 0.00468407627050381 0.00491795772084293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0221773439004563 0.0225219941207657 0.0012282151012626 0.00146474898779366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0165543474978917 0.0165020366563297 0.000593783874217704 0.000902268606363984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.592397422021147 0.60719684851323 1.18237469408645 0.87117743725125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.230046276360873 0.236233243114168 0.154841423934706 0.142468070694847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.123209886516536 0.126503299621533 0.0417394925673608 0.0419493928703224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0791073477303406 0.0814707364898382 0.016642554937251 0.0177279417956612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.354231379963257 0.364391703739273 0.422101614400225 0.326794739109893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103010190677777 0.106975502999106 0.0329210336521608 0.0319607687376335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0481549104874327 0.0500559254475398 0.00687329990460917 0.00730286325386592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0313292052312884 0.0327058479164746 0.0029302494081141 0.00329027478394512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.309264628769784 0.321065900213127 0.316747123996246 0.244103583255137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0825099431816583 0.0848682023194937 0.0187756847694716 0.0182254262578659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0427295977615812 0.0435589683339447 0.0048967961971482 0.00519567565801432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0294466219321144 0.0301320021170661 0.00219618370826587 0.002789380295031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19212764817348 1.20891208900595 5.19532878328828 3.14446701489036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.458951199538757 0.46889205027476 0.653645012207058 0.529358133318982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.245521587396173 0.25131809916926 0.172287333736809 0.159355865614591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157279860699575 0.161742143421123 0.0681108296503015 0.0675046760468301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.714163945164127 0.725200101553747 1.87035422133724 1.19145915891587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.205271877178829 0.211801445577285 0.137646149880363 0.120590212936379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0945959543245401 0.0981674994264354 0.027478918155022 0.0272730937054873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0583275430442678 0.0612142110255904 0.0105651552910335 0.0111761853462852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.62057888410825 0.641181341071876 1.39464610100928 0.890092414229066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.164412179031351 0.168556525006957 0.0787999773311369 0.0684070091303164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0847258779569788 0.0861435184280959 0.0205162614636886 0.0192038109823879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0567721308332482 0.0585605766088635 0.00911523975735695 0.00981508428620028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.66620604798336 3.68242222907395 53.8819714979957 25.6017987455472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.38608111913316 1.39686074166284 6.70080145496584 4.16805381579491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.736737856546399 0.74817601047213 1.70315723108498 1.28747371882663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.471047420109997 0.481366808646939 0.659325512253864 0.555175655326979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.21825706094119 2.2169764245294 20.3707291986684 9.7880181914972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.627567820081377 0.635809144923939 1.46221935388183 0.989348453278893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.286934024600155 0.294063682953776 0.277676823297785 0.228491297720234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.173557376295851 0.180499657089933 0.102602497290941 0.0909756263802986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.92489201364403 1.97857342855728 15.2401750432351 7.26281433433655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.497202432896492 0.506054049743363 0.825001545464429 0.542179216448274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.25621038686281 0.258410575923707 0.214234486071303 0.152372793527711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.17118096382678 0.175337993153318 0.097177882957024 0.0773821996104093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.18493390620746 6.19614070910012 156.759007150467 69.3742369226305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.32035598538864 2.32517079951654 19.6765508257384 10.8774124716719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.22700373518252 1.23870867609397 4.9710492450056 3.33424004690539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.783237355346209 0.79688634265913 1.90655678925283 1.44843032675552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.80929519158218 3.78753017908986 62.7688498389703 27.6762110954853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.0744283397843 1.07857474289297 4.67538231554035 2.74667446766131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.490799271113198 0.498698026053582 0.884409766565323 0.636604066310404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.296606858251829 0.305338022073155 0.324612140411559 0.253921679829172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.30715430144568 3.40160574219297 46.8027405883025 20.3867819689358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.843207948241309 0.85567545827749 2.57090769697442 1.43407633570034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.435216853170745 0.437416013995582 0.67462046484194 0.404455214051165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.292761096934584 0.298239227492124 0.31416436549412 0.21105690875371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0827918150779938 0.0856244973206278 0.0214355437319594 0.0249478665207506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0298030665683768 0.0341509970278754 0.00270619594688011 0.00348723869265237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0171918943823064 0.025712522482762 0.000958574513310568 0.00192495874871024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0145277387694841 0.029021793345904 0.000811500382738909 0.00288845256499883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0573368546300999 0.0651580005591139 0.0121651878906126 0.0185195115807343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0214886369174362 0.0326203493449827 0.00175303892315408 0.00459333085618602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0192005089366566 0.039072256964777 0.00166797498260235 0.00760292057289214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0253417531113789 0.0570637675549484 0.00334659468235644 0.0164639580325191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0447137974476272 0.0509724131949034 0.00766066788685964 0.00917739030609928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0152199397190044 0.0202845742147726 0.000968970295931672 0.00135740546495596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0133748016824192 0.0253840604522501 0.000875603461510119 0.00244042055026874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.018000130695118 0.0410819097112493 0.00179493749413843 0.00710634448973484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.127027566448354 0.13270830433665 0.0447952092629132 0.0520992346628302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0465974943918393 0.0515745557563089 0.00599663113240012 0.00725486664622906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0259064665208085 0.0343993537078767 0.0019582487273222 0.00300624671147296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.019448501875895 0.0340139938931086 0.00126427111113679 0.00334363685565484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0821802851852648 0.0924010442472001 0.0205229626846005 0.0289409208182298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0276400467364064 0.0391168079496335 0.00251454804513956 0.00547549947834755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.021481725841142 0.0414156486542882 0.00188992797210297 0.00783380145705761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0262470108859942 0.0580113952697128 0.00345185695847524 0.016584561754289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0658160280874001 0.0746407485505626 0.0141268093643549 0.0162108712382788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0205389862319301 0.0260231628550977 0.00145953417328366 0.00187959878473009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0155592992106686 0.0276928448992457 0.00103729744637428 0.00258428649030917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0190746798061615 0.0423219897331697 0.00188262816003834 0.00720023318361439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.207742047964376 0.218579373487851 0.116764089572919 0.130616918149409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0776157050953129 0.0843920614190644 0.015996245723575 0.0185880514314484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0424191445785125 0.0508971936095329 0.00493584128444462 0.00623058928469457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0291705596974476 0.0436116768770669 0.00255148513018846 0.00466028519803503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.127334396110556 0.141558417893533 0.0457277656432622 0.0583926063507945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0398077834665343 0.0517885191736253 0.00473953312206699 0.00800619361148678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0263004966649003 0.0464033729786412 0.00249506884733175 0.0084718199392061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0283955249581471 0.0603233966015686 0.00373625548328008 0.0168832225500552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.104429232112188 0.116765471821666 0.032896055912468 0.0361121671062006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.030681646039457 0.0368396635524776 0.00285754577639084 0.00337197892010511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0199954205761879 0.03226282288179 0.00146853888154401 0.00298930205991725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0214072779063151 0.0448386348793043 0.00211797152276224 0.0074394427432381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.387097730786903 0.40822588797102 0.417925583206476 0.427291181325775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.145990970933198 0.157553520772221 0.0565308888353831 0.0635035675895574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0791894029027489 0.0889146278830481 0.0167846927189451 0.0191571991812779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0518165497235239 0.0660291541360654 0.00751844816098996 0.00985294668463303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.230133792312184 0.252653235842414 0.150564520047789 0.169955114731186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0684569320012625 0.0818610383807808 0.0135581350629492 0.0178220592738933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0384115623224926 0.0587038719252574 0.00473139761176764 0.0108327511727766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0343188450697506 0.066621585600474 0.0047311177103467 0.0179344396288398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.191665553522069 0.210922983149194 0.108593136626728 0.112121221858978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0541196785199795 0.0619637471450375 0.00828746689150603 0.00924927993411347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0309713264244505 0.0433414754310683 0.00305219025368027 0.00454431966700955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0275483967284738 0.0511867614258161 0.00294047327526699 0.00829642063579754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14253885882789 1.18214658903384 4.04917950447008 3.14439076522212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.429889078162062 0.460149174446764 0.505864738673278 0.524134854925968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232208626725916 0.251859742940351 0.144341133816831 0.157104227174133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.148582358025952 0.16689880346312 0.0594970298480868 0.066039648826146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.672592526069389 0.717664227854977 1.41105805271741 1.22765654851632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.193461168458815 0.214874172416799 0.110311216874488 0.119503037913137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0951902896754154 0.11631178807634 0.0275682088999419 0.0346962526157578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0650085244961365 0.0982018460352481 0.0139352141387658 0.0278716211066521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.562458772269069 0.599828399449021 0.994389531247979 0.830543079493562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.154475848390094 0.170750509294331 0.0665585604956444 0.0706251431385903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0810533043255291 0.0950230110476891 0.0191345561575873 0.0208417260736938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0582915622362073 0.0830310702120617 0.0107383019615253 0.0167470983196807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.91741707761032 1.95816849931482 12.1080223816817 7.9988198403194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.716872757206871 0.761509089764122 1.44806149963806 1.38975357958594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.386546135947855 0.416744682019896 0.404109791254185 0.427937478712951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.24665332289568 0.272008419524565 0.163615099826254 0.178912203040099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.12982977463729 1.18671538887828 4.22101344342388 3.15000442710931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.321838863572222 0.352467226021711 0.312506649115324 0.317121471109733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.155351171432995 0.178841131396665 0.0736482219171676 0.0820266242322208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0994725571855723 0.133534684954111 0.0316631983315656 0.0471808725224521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.945017429614523 0.990629676134387 2.96560598399947 2.11752801284939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.25677881123559 0.281259787943721 0.187396426424897 0.188546712052417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133154579811116 0.150460927838439 0.0516277730327459 0.053080580121416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0919343197226246 0.118781478962726 0.026097112499463 0.0332515634981836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.316858783137238 0.333027027800444 0.28078195381027 0.295640091598031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.118998522597642 0.127889627482479 0.0382777849675257 0.0430852008434443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0644073302420987 0.0733321789301992 0.0114210914398831 0.0132430638379179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0426937371120104 0.0567865506930441 0.00528990143900611 0.00748092957349963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.189180522945536 0.207676316321931 0.101954999304149 0.119724334829701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0569638837182063 0.0696629522326711 0.00951856680678055 0.0134740389354045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0334044070754464 0.0537764202579643 0.0037098693934814 0.00980046762137244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0318162334301839 0.0640586228101028 0.00427707969574458 0.0174075750472701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.157945754928562 0.173388314142207 0.0750011091500977 0.0780295718418465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.045181283214348 0.0514865553319412 0.00599027269874079 0.0064942050993637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0267623372031817 0.0387236852661213 0.00239084343258506 0.00383657216087874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0252144921246851 0.0487053709319728 0.00262906724903289 0.00799900914570303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.614133920176406 0.641648406125992 1.11603170533921 1.0293895684326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.23119970847222 0.247536583372892 0.146933217669565 0.159277606875019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.124636022669119 0.136711373437169 0.0426104056429853 0.0472017024953291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.08040689365366 0.0950333175270732 0.0181631015859998 0.0211747515090588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.360777253666331 0.39143412134114 0.389234758596691 0.397982597946921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105333946084372 0.120889585772972 0.032678195886128 0.0391303715409448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.054706509236304 0.07549665763547 0.00930699453424281 0.0158791717033522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0427629906383356 0.0755537692577977 0.00662982201587358 0.0199213072089535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.304053757647562 0.328454458129217 0.283023996950557 0.269688366516304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0846690258550605 0.0935551124214431 0.0204716879353616 0.0216375260979615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.046184859027588 0.058041388436018 0.00653200071469959 0.00784832468293939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.036631024761771 0.0603740924811612 0.00472098589338119 0.0102828011768541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22343008091247 1.26133378706528 4.78132823414296 3.6409732638819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.459525367245487 0.488897718187199 0.596542839361682 0.60604569273745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.247111969304356 0.267368755311134 0.168698468512933 0.18215913153635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157990221009779 0.176667312809896 0.0692796397370316 0.0765435332303697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.717412306165344 0.764294843080119 1.65274251014572 1.41692173870938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.206442054893588 0.228993211895697 0.128323342297557 0.139515113331311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101026678209334 0.123114686621444 0.0313202133388899 0.0396350137937737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0682682878781498 0.101813156882879 0.0153533745599545 0.0295210227670739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.605706874315533 0.642206907342171 1.18464068618925 0.968355687883432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.165983136544735 0.180938837494481 0.0790517269957607 0.0810388609198363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0875449904971165 0.100301636084167 0.0227833903136233 0.0237762334342977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0624370547499658 0.0869739591444888 0.0125620200939893 0.0189629217030455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.73489789485188 3.77079844617289 50.2523326965301 27.8049417565512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.38349571253596 1.44208855125491 5.85809202067341 4.81720188890791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.741239417358045 0.789248393797352 1.57528801356198 1.53731543464562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.471361466046181 0.512406893205444 0.622819736691662 0.656691413699396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.21409696059562 2.28504116480292 17.9630067461165 11.0132106411195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.626487230856488 0.675283166794001 1.27921450335825 1.15938622161919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.297513699207402 0.33217813549362 0.280716189783279 0.29356146795328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.183516040857963 0.222648366220526 0.10830352302272 0.132554480856193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.86948779530053 1.91880830810039 12.7979653978037 7.31330734429037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.498254502740188 0.534469743481323 0.761360722754132 0.661412269498557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.258599591194276 0.28111505499351 0.204761919386245 0.187856122081722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.174151993042331 0.208298888478166 0.0975418167869744 0.107311556182567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.29711265122038 6.32719375294758 148.817617719147 73.3670903131681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.31211986870656 2.38277534744286 17.1581634291552 12.4044476555073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.2347606264786 1.30151545480822 4.51264427273745 4.02114966299722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.784380693423107 0.844054609843665 1.75342063410833 1.75148912523589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.80152935837353 3.87277233188493 56.2599759619688 29.942448630164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07174915548405 1.13862826356504 4.01999698720139 3.20025908860688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.505875830148433 0.556316610323565 0.853661604164624 0.825929476176772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.308462650020612 0.358012745862028 0.315956836461769 0.353729665392901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.21467353878479 3.25568807549119 40.0274822766803 19.3888087066832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.842653543719727 0.895594655195834 2.31841280792078 1.72939102635224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.435629551455707 0.469571571563594 0.61218525889727 0.504593324422237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.292437509376277 0.339497023800351 0.288563745599473 0.281998844581635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0779133946293546 0.0695932964669335 0.015265889064201 0.015406676372729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0284808864571181 0.0263059618778674 0.00187971804519931 0.00209532206577776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0169263785875335 0.0158171997890326 0.000588642699341161 0.000788010483779183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0144787294500806 0.0137731230816745 0.00036836477471031 0.000645782869883121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0535849206951013 0.0486031847042123 0.00774422647917643 0.00773715146015522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0216288568531734 0.020210733814539 0.00116837576811677 0.00130902566061238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0210405920662331 0.019376814331407 0.00101530569831439 0.00123190714972102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0271732863290802 0.0254527443855988 0.00156491138067728 0.00215380806197973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0406003974715534 0.0389623597702068 0.00516747350641841 0.00408233844745039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0123073467466723 0.0124618186197187 0.000381945520933786 0.000481913982972145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00978808369798533 0.0103076143271402 0.00016931937753009 0.000384966541045413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.012808403548856 0.0135356910154902 0.000232094644551041 0.000735076923863378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.125276592958687 0.114506834966309 0.0403068242976481 0.0382000634764344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0460870972603178 0.0431295355391764 0.00521171230793347 0.00533070566246656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.025829611414257 0.0243039358231292 0.00151547771195084 0.00176287453118055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0191717505863502 0.0182338584120879 0.000723009539773717 0.00107229005729662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0798277519333166 0.0735961888758148 0.0170055379081103 0.0161195137670066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0270738788912106 0.0254086564713167 0.00187446648557247 0.00200875451666288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0224032342387797 0.0206824112610403 0.00117208129194653 0.00140118348496267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0275629518662753 0.0258486663302229 0.00162329041251232 0.00222454708432648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.064500079787545 0.0608360915462711 0.012215475015961 0.00951261437919288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0180661821583005 0.0177317262668762 0.000825399700147493 0.000902188939520361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0119754950349057 0.0122743223121516 0.000277231714780724 0.000516668906580653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0137872096554307 0.0143793612726143 0.000284161339712753 0.000804075480489738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.212447932629245 0.19663262154849 0.119176723060846 0.105164533155085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0791282333548609 0.0745952683576094 0.0156330498374845 0.0151022856627523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0432628638941729 0.0409965515762661 0.00444154667240606 0.00469246724083873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0292767891674017 0.0279359352758758 0.00185086376472421 0.00232932090061366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.129680683347926 0.120368065119758 0.0457225407813207 0.0403825146514251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0391965078420446 0.0370838280048699 0.00403250121063988 0.00411023990124301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0261498981915185 0.0243324939230255 0.00164941330885204 0.0019106684406407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0287420942844892 0.0270035593966485 0.00179949151090165 0.00242561023342282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10773990675129 0.101146943592446 0.0332011304129371 0.0257567358098575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0293975147586988 0.0282069847911341 0.00219756281112698 0.00215640656379567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0168675202733586 0.0167346336723254 0.000612670918242166 0.000896075805904611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0161624514527612 0.0164636519874043 0.00043671735236086 0.00100247522900422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.403038350567738 0.375897723454431 0.450387785746144 0.358433340638878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.151364982239828 0.143158320405465 0.0584081516625181 0.0534648310000345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0820337003524818 0.0779912426724141 0.0165152350729474 0.0161631728142805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0533164904462515 0.0509417057640284 0.0066015511315156 0.00718819626890405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.241552766310318 0.22536072754261 0.165866160464003 0.133000344777483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0690520285895787 0.0657028709931288 0.0129181424964327 0.0123686030344484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.037674154495039 0.0354743854191354 0.00361579548223858 0.00391764072199644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0331127986154814 0.0313058334130116 0.00251660840270772 0.00322018020650404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.202626944773609 0.190435273558297 0.118367579177017 0.0891487012851509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0549133100705332 0.0521022428758412 0.00779786946177205 0.00707237743688008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0291067735181372 0.028178079528412 0.00202440726154764 0.00234353440960173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229332541428577 0.0225785827183288 0.00106841871589834 0.00174107697927338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17780349829445 1.12134341372378 4.34829573807227 2.74228754864468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.44708115006134 0.424245163315654 0.535794211906349 0.440912548912788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241811465617995 0.23048344083243 0.149762002405596 0.134193614591292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.155018237746936 0.148225052060609 0.0597090009398828 0.0567836514666064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.705430323880954 0.666573430628058 1.58961474164771 1.02738503781402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.198194847328168 0.189179092069647 0.113003128429699 0.0962202525498324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0964627073159015 0.0917225319632684 0.025794133823901 0.0244027233254567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0634116444975682 0.0604126412949766 0.0106403579199163 0.0113121771971779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.592714906691589 0.563071678235509 1.10563467885832 0.708273894531066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.16084151850524 0.152204193673367 0.0698009091112805 0.0571439949099764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0827312471850179 0.0792403121706232 0.0181150132846285 0.0167728733388678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0571811645615811 0.0545458857870019 0.0084499867089193 0.00883004469729729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.95515174711514 1.88599743905866 12.8097579563569 7.12610343416119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.741742650527282 0.707122289730721 1.53214127822853 1.17222501191464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.402059791918829 0.383518938414907 0.423796328786052 0.361599028721824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.257538195955554 0.246314346238023 0.16859441832338 0.153064138279587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.17291444711408 1.12108654303257 4.71435846651413 2.69165019538941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.329411186174412 0.31487550184328 0.325041506152526 0.25727788539039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.158451729767818 0.151014019036206 0.0722191404612757 0.0640369685797726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.099495418452408 0.0947979704128784 0.0278731075531585 0.0267975908117438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.985737995761631 0.946651802567116 3.26515271397037 1.85846200107701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.266946931708236 0.253482147750538 0.199060972068373 0.152237871236042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.137187316766245 0.1313296432705 0.0517463910630794 0.0440797219845932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0934868615574716 0.08892651240051 0.0241364875408545 0.0220569480362813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.321620046309751 0.301193489387014 0.293961446360693 0.242269561795103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119814916959411 0.113829508583027 0.0381117276541902 0.0355901659459733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0650154248984004 0.0620813113806023 0.010797763287846 0.0108382352432991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0427920041707362 0.0409015942137826 0.00435748925875574 0.00491377926309344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.195151448255642 0.181953380529211 0.108927815434641 0.0914117489949319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0562085518155731 0.0536039526530948 0.00866714710090353 0.0085703987933736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0327015879062586 0.0306109447790327 0.00271084109215497 0.00299636978835454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0312237691982914 0.0292445590720053 0.00218356413509289 0.00283174355107417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.163067094452541 0.153569314612491 0.0782465569051857 0.0600942027095513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0443874622479513 0.0423490051157601 0.00520188082805631 0.00488922653851748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0240243058501455 0.0234229752305658 0.0013618259677159 0.00169622274079287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0200638884177402 0.0199456510673601 0.000764172255929144 0.00140582900243283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.625049264859936 0.591750423972664 1.18724346706303 0.865892685559638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.234313949570331 0.223292668137974 0.150231095997417 0.13260170151743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126646333661014 0.121217437711959 0.0424123295009696 0.0400436532054663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0815403251919612 0.0782062163367162 0.0168780108940979 0.0171430284354584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.377328901529585 0.354956778330459 0.433056309593152 0.327383223733203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105750839225071 0.10115748080684 0.0320521638665398 0.0296862405807758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0539680048354174 0.0511352714157118 0.00798982462510758 0.008118301905606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0408734163369975 0.0386291419257914 0.00408802228112299 0.00484658793803922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.316048060647891 0.300108297916645 0.305331052909999 0.220965493693626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0858620735992225 0.081471450781357 0.0199730010879672 0.0176018800895281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0446528592693854 0.043035133447487 0.0051367710971896 0.00536650780072929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0326392747119532 0.0315121398442579 0.00245731870617966 0.00323342118685025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.2340676874548 1.18766140254431 5.03585458853945 3.15917596235316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.465132889385463 0.444196872816872 0.614901687937675 0.502094606986756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.251407613940943 0.240916847197712 0.171820461697122 0.153498531917827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.160907709781314 0.154565303987008 0.0682654963016875 0.0647238627262546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.746622632472326 0.710901549567431 1.83905741319525 1.21201337148481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.20802983311848 0.199489939518687 0.129607551706512 0.111738357219532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101267194603363 0.0967448400170909 0.0299263196389478 0.0280903464684239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0663469130962064 0.0633914593338322 0.0120305042684527 0.0126482119255519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.625148154272437 0.601164558878537 1.28274421455952 0.82542130527749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.169824220672466 0.161317663477184 0.0806561035493882 0.0663958387722778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0874044746876353 0.0840453750445416 0.0208580330547852 0.0193718119399715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0606028291930528 0.0578628882254607 0.00964374766843114 0.0100606284345448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.71004586741943 3.65874098303983 51.7239672795158 25.4530132412074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.38085685856503 1.33526521396665 5.97904038730826 4.06189338181083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.748909811871227 0.719974818032861 1.6259428708584 1.27356672831237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.479034047472426 0.461015040965317 0.638100297257717 0.542725326646169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.25734200125539 2.20416065561114 19.5139696905429 10.1566747948469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.62542907133301 0.604591405676563 1.30860404084965 0.956757395893128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.299816058688058 0.288600993713064 0.289872078302837 0.236117498936969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.1842177999615 0.177632280177857 0.106853817251961 0.0938255273972986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.8930289697724 1.86808963068613 13.6409974919764 6.72395007243148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.506263801069272 0.487330115694544 0.794636549072975 0.542471389195881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.260407931887463 0.251725033984345 0.204105194634656 0.156742593291488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.176792942466348 0.17062434936585 0.0941925591560907 0.0771086703648288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.24366810251834 6.19456254957542 153.081677721958 69.1505548455187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.28940301193257 2.23167582490932 17.5876713242098 10.6556056321597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.23972158585429 1.19767685745595 4.7277625055404 3.35210129976743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.793540257849224 0.765188195508166 1.84039447867834 1.43607875968128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.84454155752368 3.79560006697222 60.5785583131761 32.8201640568785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.06239544966081 1.03323297074945 4.13791143615628 2.85232314415484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.508429598076475 0.490701495978687 0.916088726645121 0.679785075620236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.310589698539849 0.300052890191185 0.334278778129484 0.263654040503647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.23534579160672 3.22282181723587 42.4946646694543 18.5943051744618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.851733942733119 0.827770497053426 2.42775798411468 1.47196172382864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.437833361582937 0.427108523920787 0.622464500299103 0.442518598022201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.296431207614035 0.289902269577426 0.287510938605493 0.224779198990155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0922449432418069 0.0982754017665381 0.0445659060153309 0.0415395935488368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0362255163716612 0.0407817350546305 0.00571724698107856 0.00565023274616668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0321708151287344 0.0396175519723773 0.006074485768814 0.00634166812823979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0416113789444251 0.0536951704293117 0.0124301774438233 0.0129929672473442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0809248909941344 0.0875281543589476 0.05427427065556 0.0378897004340674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0440261831380408 0.0536375301804767 0.0167066527289967 0.0162412858119336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0589093779647789 0.0753000293900146 0.03029174344377 0.0343011575980694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.087323362041173 0.112996352590723 0.0636620593727714 0.0699206503563182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.061185026627516 0.0650661190773866 0.0189473905413609 0.0150427279840244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0303428806620469 0.0354343853602806 0.00640972657627726 0.00528303107890265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0450265657150684 0.0561193444001541 0.0185881529914063 0.0177186743979919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0745456617545332 0.0945240713701377 0.0557699493192427 0.0549232685861009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.132682751698208 0.140659294044153 0.0607850348732496 0.0671996192163161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0511834692721689 0.0561364878806706 0.00910338470413848 0.00894963089582779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0391190725005414 0.0468127567481402 0.00733923572313893 0.00734582659129778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.045022394830452 0.0572191529243007 0.0131213934980645 0.0134284107725898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101703470808775 0.108939654298788 0.0543602532702505 0.0482477284463359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0487588512570992 0.0583821961950486 0.017041243434934 0.0171296253736941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0604260328582907 0.0767686980906155 0.0306271595161324 0.0345957988205565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0878279950647837 0.113502454598124 0.0636946581600389 0.070108614631577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0795146609878558 0.084121372672095 0.0260066330252645 0.0208856621659879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0343351064392732 0.0395687179157928 0.00680819225701021 0.00565093593622242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0464309835996729 0.0575100985279433 0.0187532706359736 0.0178628869786665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0751195430818933 0.0950245928085342 0.0559038002673051 0.0550041277923228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.210691682681169 0.222536039858797 0.155062021522148 0.160895543705656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.080366285103235 0.0864178680309121 0.0214343577598268 0.0197844534155498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0534374774962489 0.0614248854796485 0.0113901940935622 0.0103360614851134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0526785667821339 0.0649990010872673 0.0151721602109008 0.0146729963335468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143563219966268 0.151442338975044 0.121404708471688 0.0776136251000484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0590266956306421 0.0685182302046367 0.0277989564241022 0.0195400682172167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0641059686933034 0.0800774133485074 0.0348910010765021 0.0352495487845523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0892868037895927 0.114711946404585 0.0662665265557231 0.0704181713279397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.115922371271914 0.122526587688051 0.0487215548424243 0.0397347498086931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0430090349581043 0.0483941381238328 0.0103927672126889 0.00721562553104743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0498636437784423 0.0607794333807464 0.0211145096410469 0.0184841391666786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0767868975731951 0.0964735871247308 0.0577137898185777 0.0553796066177503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.387974332509343 0.410224300052693 0.598230058501075 0.725121303767379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.14648817545209 0.156365455744077 0.0700191261148388 0.0809903023095915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0869717119870903 0.0962395962837677 0.0263964480258807 0.0259788387703661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0718321843392473 0.084680508268752 0.0232039883386309 0.0209905854308273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.242607711488208 0.254450276231375 0.372628166003422 0.481997981135503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.084643859650472 0.0949835706175701 0.0651109838128599 0.0603200025219635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0740443223986203 0.0899734474953552 0.0481816357148833 0.0466727183528626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0936935556038903 0.118925187125368 0.0739307847717844 0.0757708090248939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.2023587036012 0.213248022591456 0.174197856578371 0.129479194740633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0648604598278514 0.0702576753628741 0.0346986399133049 0.0150187418517315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0596327872335294 0.069913256404669 0.0407344055931344 0.0219784722100085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0822233773581857 0.101065616355515 0.0763058839268578 0.0577798030153881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.41172888152315 1.20386578717276 3933.16070640414 31.1294078203758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.542641711449169 0.449167920108786 597.227515282761 0.610813903764242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.280409495402305 0.249160074025328 76.6052751043305 0.172937262864945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.175074775585421 0.17536829365729 6.36406954949841 0.0778948692816051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.792582210332857 0.77471039220719 677.920346614818 326.841151196463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.206710458567101 0.23322777263012 1.17455365348778 21.0926413422873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.131599172411367 0.1511175765745 3.50043176407958 7.69711240755539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123648896709051 0.149959523085646 1.82485606820725 2.77405208863972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.57375045444135 2.41475968684687 2.26799968978649 149081.690097643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.331334781364649 0.203991881351591 1303.01049196183 39.0324010642078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.125620898098439 0.115103858349146 11.8266511721565 0.0461498035899201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117164720119441 0.132090743890457 4.56684774178889 1.60480913092714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.07950530920941 1.95248265533834 2004.8962471748 11.8968280962084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.821897341067078 0.742668464563172 659.174002878658 1.43781771173895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.442855161362175 0.40615660031111 163.845283031263 0.425135062380064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.276374001983906 0.272061308306169 24.9309512442303 0.180132076036029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.44689856676238 1.16344749234812 5225.48991069936 22.7577909657547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.359458406646591 0.342345627323079 61.035973968148 1.49234716088086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.180970800649774 0.194136538301339 0.975674031626417 0.203379147719713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.147602394657442 0.174864012449356 0.145338947076743 0.62145784374143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.75192832498751 0.997851752282799 30956.8927661123 4.99885608831189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.261060737722325 0.323974820916302 0.460847099301223 90.441001062648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.152187186989429 0.187828143141815 0.222537623204314 18.0208023979786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136869762068684 0.160289283799488 0.228612240817788 0.525096785714726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.319711383906305 0.338565366737197 0.500656156841456 0.771436543449531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.120856714847272 0.129145915124402 0.0661758203786979 0.0875715949396764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0737204059504977 0.0827063419119078 0.0212655456419075 0.0312364506454494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0641345168550321 0.0770182110385587 0.0195376026933398 0.0244992630052491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.202748252482494 0.216370883112525 0.121034768201744 0.715650267358858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0739931953722174 0.0849108001911749 0.0244236178496683 0.0943706167661738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0696538772458359 0.0864688923739527 0.0335362949311824 0.0600406096877303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0916919289168362 0.117642906633585 0.0659651230261981 0.0829744042631722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.16961303030903 0.178668799678766 0.163656796261086 0.105733931755644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0565161146370855 0.0617235712126836 0.0340029925600818 0.0132075375842507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0558652963687132 0.0664020703054854 0.0441938751919184 0.0211609409383455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0804160136231607 0.0994722597254534 0.0851760712308531 0.0575315584388301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.615766498700364 0.653094950467403 3.44410776735603 6.25350565399442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.232097190939407 0.248719268733993 0.542857430234519 1.33376839235038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.130796692282788 0.144463552168432 0.0932299968110965 0.518516944870777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0973855846063564 0.113383929887805 0.03810998634813 0.263160958173745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.370820882614359 0.400348708941704 0.404332052121469 7.88743532582698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.118301465239752 0.134654958902121 0.0507563987542821 1.12032370993725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0875569007343043 0.107076488566413 0.0421342074656092 0.420035948959473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.100119792560126 0.127633891775935 0.0706137533114254 0.245313211730767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.320567750845723 0.331081944942917 1.66202880264189 0.381911683395608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0998194425690357 0.100450750054081 1.27700874096802 0.0418387727723691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0816201814098206 0.0837095624802104 2.97619156039542 0.0399008960029824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.107458575960768 0.110113541551281 11.9208573259791 0.128454601510899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.21903262829451 1.28170806751659 11.035339826253 16.1172254474468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.459310056977138 0.491734309015714 2.84716957995603 6.06924293058069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.250583124934469 0.274380891473753 0.549387708577902 3.26377286375601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.169486125215218 0.192222295274167 0.131190618510165 1.57035586204778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.721078535844894 0.795170348843146 1.60450768274415 67.4932161576095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.213398605204251 0.245151563944983 0.145276823448422 7.94385544286264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.12836388115825 0.15476749235682 0.0676355618546619 2.2080966644992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.121136913189092 0.152319318022531 0.0842609256179821 0.884299251097875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.646522671198241 0.642492061827058 25.8704651211545 1.3095597632347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.230804896009979 0.184187813382814 100.885314401289 0.216759946958363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.12272093621468 0.193783152949762 4.16045108428368 231.617327264281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.130482441820514 0.170515550154303 8.47597827037426 67.485235029869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.66906024648221 3.75129469047219 53.4293038180988 36.477815155085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.35894839613617 1.42430779200463 7.46434509498776 9.68126558016673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.731361852761814 0.779386035426936 1.80720574599052 5.76367485299371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.470715694562442 0.508411455644147 0.661652270733984 3.28126892081053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.17915000234039 2.29006303785526 16.6592049148447 241.545201665728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.615807144738226 0.664089181545985 1.20176907344755 22.5387998323307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.310541438150081 0.341452726610038 0.318243488502288 4.84792681407725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.223397452262282 0.256508675192669 0.194416506974687 1.61539790501187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.88909745205302 1.89601461228279 65.28376195635 8.50681781041008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.507627538185789 0.86616698154482 3.95638950016477 5567.44860847224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.285812272919005 0.321769775082832 6.9419310627264 45.0248466775068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.273119882349204 0.239888442736993 132.811069977412 0.345772790188386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.17543096966383 6.25325951202054 144.008915453187 78.2392311232527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.25804373511977 2.3394371704584 16.3545378219447 14.8255912462129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.21094206822042 1.27700226345063 4.28864982153905 6.6341771367424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.774562033922983 0.825910882375986 1.70962969927841 3.57367664486839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.71251249666481 3.80146540274403 51.9765544085675 141.585486595709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.04116245555559 1.09344788972611 3.62181398819252 19.63437314855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.509032207212046 0.541998966465043 0.855505481902894 4.55725627555742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.339606764305461 0.373971516563814 0.413393047920792 1.55750945799366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.17038619586107 3.19685817397512 42.6361910411808 21.4012523530432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.840992270351968 1.4959052706591 5.04810622969503 18554.9659122218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.443468486088568 0.573912543079281 1.08820050146405 515.743006561855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.392225405788862 0.361094393299196 216.546314118851 0.981884089441167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0715330174880574 0.0598782878687417 0.0117732525033913 0.0110629769586507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0233520269704085 0.0234162060304237 0.00120188551456427 0.00168038061867216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0125017930246061 0.0153904758057567 0.000336232373934679 0.000757562047546008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00871344575318507 0.0151826762865297 0.00015003166029996 0.000786151113685257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.055072603532226 0.0388216596254124 0.00856476786365254 0.00498724738675901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0159891792774707 0.0176805726705877 0.000769009881748547 0.001016428462438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00938815139360622 0.0191030416699138 0.000230713185560716 0.00124216820870291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0101679421541153 0.0270009754954141 0.000222639039565758 0.00235421039259771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.038420138280087 0.0347312050120618 0.00472992921361572 0.00305736547042472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0116673493767928 0.0114855014758848 0.000368400052759825 0.000413204776986838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0078326004721139 0.0112667515794955 0.000157097805317688 0.000488432029038797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00982392265541095 0.0168786899554572 0.0003110824754977 0.00122666900091335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.145460420245288 0.0944162701079953 0.0513070600255008 0.0262033738351014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.050307157179182 0.0376447521445421 0.00587326792660457 0.0041354132758902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0270393713928915 0.0219628481857418 0.00167267029011314 0.00152027193634552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0179554416668196 0.0183779929103249 0.000705574661118078 0.00113298593974531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0979202864046824 0.0624219260371736 0.025617575053743 0.0117947946301841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0266965253846846 0.0231672244109647 0.00197675707120049 0.00179185892892759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0143779574961943 0.0203280109091953 0.000547907787702902 0.00143832767872569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0126763989846921 0.027478948151016 0.000391989909731643 0.00245076355757884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0703895623628445 0.0536909507275394 0.0143008722567773 0.00763308124318361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0199682287754752 0.0163096004572356 0.00106268469392628 0.00080105881123558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0117779734938874 0.0128019245757952 0.000376081983198081 0.000611036741854594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0124545715059666 0.0179052262325847 0.000455556308983518 0.00135240818798808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.262745159645211 0.163605188545149 0.175980778050934 0.0747783413545006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0918195900485176 0.0654511035997218 0.0204871097667454 0.0118884412815492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0495347149649077 0.0367082304821654 0.00587865828102757 0.0039457883256163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0324470897488398 0.0264646892397612 0.00247413213071775 0.00221096081699271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.172297892145627 0.105196433087333 0.0805601297254106 0.0327029739371003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0456053062318597 0.0351268254762748 0.00589142593665715 0.004071492211451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0237062475433166 0.0238432958661134 0.00157961899518659 0.00203123937628957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0182053326987825 0.0287595611142727 0.000925221580775574 0.00271982626596706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124787850977929 0.0889687540172538 0.0437318180852799 0.021485023332756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.034321138886857 0.0259746198618914 0.00314420697780916 0.0019234421261997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0194639757975232 0.0165442783685029 0.00105049937461883 0.000957020414778449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0180421048590578 0.0197844635792218 0.000926933098065098 0.00160165737062723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.508758058515549 0.317394120064076 0.690408116547755 0.268579800047326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.179490662308554 0.126632195805149 0.0805990089241781 0.0429174024309257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0968323388573043 0.0699812518197677 0.0231404346203426 0.0134935461547645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.063192822776041 0.0470681217914212 0.00978768546465652 0.00641609555607565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.331352916167636 0.201679753178211 0.307171871272528 0.115550235238719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0870077744090876 0.0635059562889578 0.0219842935643318 0.0129848176852637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0444131189091864 0.0347726294120458 0.00582239546735619 0.00436463427480293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0317186076343533 0.0332584389917036 0.00313477199556446 0.00375951112406562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.239830158108142 0.166053867083738 0.161351219013497 0.071817757592058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0653382784260987 0.0482526132273193 0.0115042051446639 0.00630414367700768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0366285791331856 0.0266735787674071 0.00379941487846941 0.00225527354367755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.032050342249613 0.0250131720338731 0.00288692941725461 0.002426693611087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.45647261778976 0.998160707625615 6.2812118143092 2.29623566990391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.533200068400314 0.378556425510804 0.740309995037315 0.366685573376893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.288166597120055 0.207560470459421 0.211537729598857 0.112468655647933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.188045126689523 0.135898492440974 0.0898537116676355 0.0491416538830814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.962405300437476 0.628419383144173 2.78287062102655 0.990230585705575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.258916033293115 0.184426124198479 0.200804672577633 0.104786924640408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.131576118282962 0.0905368433210769 0.0527797952904446 0.0282888305703756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0907527155483742 0.0639046186113253 0.0278143227059232 0.0143380637336063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.692756621041453 0.5054580204501 1.44529210737216 0.603902273032772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.192610903724411 0.142074616006037 0.102400544026802 0.051272210123734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.107910687061077 0.073437017939685 0.033996033739977 0.0149166146300689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0926111424585107 0.0550908035960857 0.0245569824209797 0.00993798738332205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.33588026492349 1.76122146314825 17.6452719342866 6.44809590931573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.883096356233561 0.636318323722415 2.08107265325538 1.00020940563487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.479229494284293 0.346233339181956 0.593743432373598 0.305996418436799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.312913316596192 0.225879958244968 0.252034551678897 0.132457718469209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.55153163144993 1.11033871952415 7.7837516578568 2.85460420403182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.431297874804351 0.308707640726174 0.570013130129707 0.285014556918056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.219426753457189 0.14953007554904 0.14909345892376 0.0750637283327193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.15100081022238 0.101129216195829 0.0787704730560476 0.0351743904174729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.13078506093052 0.882090348186532 4.18013044994747 1.71442467842743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.318630618521294 0.23807660180889 0.286967756446565 0.138577957101678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.179602060006098 0.121569635627998 0.0960548357252111 0.0389678014857046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.154301406682205 0.0891005619638273 0.0692199593072696 0.0238428277549804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.392416418560052 0.26427521723234 0.411511350910467 0.195489042634503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137338634249706 0.103975539186272 0.0488032047860136 0.030885000576921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0738680719915224 0.056858574022013 0.0139679915433971 0.00951776448722481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0489540652023888 0.0389072034325725 0.00605821860648635 0.00466942168377339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.24695385859887 0.163683766275035 0.178493158546742 0.0775455192593213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0674676099713031 0.0508394778294776 0.0133205487760457 0.00834180843728886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0341615587203068 0.0298932610251936 0.00346166220236484 0.00313832064434507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0253681151655295 0.0305213274856683 0.00201116279293826 0.00313913814020615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.186262349939004 0.142658633546655 0.0996761367270678 0.0534666293587519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0529140966218432 0.0386182640882686 0.00761978404591562 0.00404347412329315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0283777671113738 0.0229596567002391 0.00219659746996032 0.00174719889136972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0263236716610577 0.0226465338233136 0.00204283445696605 0.0020701001217033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.758799014909219 0.530028209705583 1.61999303441559 0.741810072016631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.270529792585539 0.204598100571413 0.194982265140401 0.116478672996472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.145834887573667 0.110912693259248 0.0558481228670492 0.0348837816779601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0965601540703206 0.073075250095666 0.0243373115702523 0.0156325200225949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.478130447007627 0.324469547873188 0.691387871554876 0.297442112425541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.131232738367534 0.0968267893554139 0.0516480830149846 0.02987550961568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0664559638035362 0.0496502376176294 0.0135527979171785 0.00867071078853376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.047901978674113 0.0400848233722694 0.00792930992999263 0.00557388198888914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.360622108752151 0.278724895534584 0.383617019887419 0.197069753097599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.103059077859534 0.0744084899174335 0.0293768995219271 0.0145019126433743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0548491907457692 0.0413647945810111 0.008410559502138 0.00519469397218838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0492313971549793 0.0334044707616462 0.00734679902848423 0.00412980784052023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44121982823163 1.11108881874997 6.39739072165454 2.95037302921794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.536945955417388 0.409976397480917 0.789421354748837 0.451983770725645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.290249863246406 0.220604159104183 0.225582075700396 0.133991429800199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.192282698035621 0.143791536220859 0.0984630421521952 0.0581146355417316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.932536763123593 0.669867153798594 2.75799585068036 1.2047886201047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.260014001969259 0.19251714029841 0.207357873852689 0.115416523550239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.13221741426105 0.09363088785341 0.0549185436152409 0.0301773278986253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0947299615767582 0.0647915167727013 0.0327405802742606 0.0148323307723708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.70203823790001 0.55737172712577 1.55574460396999 0.730275905664827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.204161904606546 0.147691582615214 0.117354202006235 0.0548791040269491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.108558666428651 0.0801959868229964 0.0336618175106007 0.0181613644190512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0958440754742804 0.0584703569389184 0.0279275188461304 0.0108850029082622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.02554664432431 3.72815794883201 60.1776221370246 27.956713562018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.55292685686754 1.27177907330478 7.19500553608073 3.9165484327122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.859800136845326 0.667306722962934 2.062066639512 1.15368870835921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.571685675388303 0.430228282579812 0.895904669538463 0.494391335171164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.65417444463855 2.24154314982492 26.2891444523139 11.9262899083851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.772216848767919 0.602296175877661 1.95720911704915 1.11632252736331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.39809365889543 0.282307010549929 0.512393808319204 0.270502900149504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.280847353336974 0.186936224160454 0.281728353170134 0.13403175663728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.05787989031365 1.82198758862057 16.1553865963744 6.42428695722617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.602341558822772 0.455087686227306 1.10890799803029 0.475871741814492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.324390611330681 0.242109613800426 0.320198097227186 0.150540583370968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.279809263797002 0.170031535490609 0.25052743195572 0.0755364267451895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.64175076346607 6.48598901237577 174.264742765816 79.326636053555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.49896230092885 2.18775302418269 20.063489629938 10.764211096964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.40059746586778 1.12777051298754 5.6925883530322 3.13514854666273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.938299740028433 0.721136581115113 2.47046868107548 1.34697899551235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.4073867234276 3.99340324056209 79.1512000130417 37.6223941954456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.28174302114161 1.06954521253662 5.93009544735209 3.64175329725748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.668842416232567 0.494443602392976 1.53096828958044 0.872246689887528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.47039031416332 0.327776645657431 0.83829541072167 0.500607706097679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.52004363837515 3.26793465982554 51.3594830165995 18.8143594404788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.00339950458451 0.791824426152349 3.3382839779665 1.36182210374089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.542472999108337 0.418188768532181 0.955962068641846 0.42836517386505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.463648347905171 0.304913574906817 0.738546278145681 0.226126483373646 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00324178029359407 0.00190581697291788 3.2963832195565E-05 1.65636916441274E-05 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0101702193231374 0.00590141412116675 0.0003385417969199 0.000153172012233601 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209680089859893 0.0120476669993804 0.00142760828826258 0.00063276981690851 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.03620933277273 0.0211536281286284 0.00402751417832368 0.00192647562552891 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0153796974388772 0.00776673622431897 0.000228583186342803 0.000267895995940414 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.059874936159645 0.0260967076327531 0.00306819910296942 0.00293418058183127 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.119817756702696 0.050585195475961 0.0123333565611383 0.0108415118996807 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.187481413351563 0.07860670465176 0.0313624183847749 0.0258455895944036 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0140855582448632 0.00273247775909335 0.000793439855387059 2.79053321295697E-05 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0299795886007446 0.00972607548846307 0.00309149968599505 0.000379900561355805 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0597180950232996 0.020265321921238 0.0117759378235626 0.00162122987332716 NURBSSource NURBSSource 18 180 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0989851889275032 0.0335117777147293 0.031107331426063 0.00435665942606765 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0413514464345777 0.0398744634306025 0.00424483323884299 0.00483721068018234 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0207212443206061 0.0172651464016126 0.000983428172152943 0.00108464126792752 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0235399434233275 0.0140751983162452 0.00160951846743193 0.000902353451200117 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.036769092549685 0.0212109932137208 0.00409740813576987 0.00199868222986264 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0290554143686387 0.0246312968023719 0.0013230584414941 0.00221403764766987 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0604677398146918 0.0262590220099975 0.00310815885728055 0.00302790883100068 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.119634654111251 0.050558403652695 0.0123061518343109 0.0108343637170337 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.187289480575887 0.0785681661013417 0.031321025621644 0.0258238011741635 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0239465073779935 0.0227397712339425 0.00197335535119312 0.00158070705633927 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0306947849583645 0.0119432813461536 0.00321452509070262 0.000539515034189828 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0599569875615232 0.0205284731782877 0.0118456338188193 0.0016522860433578 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0991067430667481 0.0335910701175029 0.0311659614123594 0.00436289080201636 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0824304006005068 0.0798298886908501 0.0174978508582615 0.0188170341060664 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0363676642942087 0.0334483443794697 0.00307855666440059 0.00367922538640696 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0298405929328886 0.0213191634514368 0.00222022083108308 0.00183706302072421 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.038720330781471 0.0225731838248467 0.00434311227497551 0.00232847081457314 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0510841196145346 0.0481310004419168 0.00522564592403203 0.00767853942104689 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0622872645086222 0.0272560166536844 0.0033180422034648 0.00337501895085915 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.1197661741501 0.0505616412599856 0.0123286208748497 0.010866362733668 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.187151696629574 0.0785327567777166 0.0313060347638461 0.0258138363901281 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0409961856211266 0.0452217128965315 0.00528166775087984 0.00610049022706399 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0326616879172058 0.0168937296914474 0.00355406985613275 0.00100265783095809 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0602938568125755 0.0214029528630754 0.0119594942334355 0.00177329505529028 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0992614443802957 0.0338686208860354 0.0312485019234689 0.00441161434047094 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.163886204562081 0.160437077869195 0.0718833929350134 0.0733212414680804 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0700782856291332 0.0666031100832018 0.0119601435777132 0.0136203793228241 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0452061335534782 0.0388300298458261 0.00475117609466965 0.00531249215870237 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.045658179715071 0.0307530867566049 0.00538139407867282 0.00396670011808223 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0984115967931648 0.0958585503429745 0.0224449268982617 0.0285716433191689 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0671618022055738 0.0341253853235718 0.00426901278688615 0.00510911463938367 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.120758138069415 0.0507059380029613 0.0125235281463224 0.0110570115817015 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.187227043196408 0.0784987373085566 0.0313568764802132 0.0258366156411766 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0784083122526841 0.090344078559348 0.0181538118610561 0.0238225342697628 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0388003160688242 0.0286325051048286 0.00480127702221073 0.00271116235835178 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0615208796301598 0.0248974303637414 0.0123613132108473 0.00229178498518336 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.09967660616488 0.0348095039952808 0.0314872099632059 0.00461409742529351 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.48216724513762 0.49377721347703 0.688821087140712 0.628462671550279 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.206822973108481 0.202288451951667 0.112020448870572 0.115699751800093 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119205158135676 0.114138985268139 0.0346373215810196 0.0394906785900948 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.086058601211683 0.0766423573549777 0.0172401882386859 0.0198606169272034 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.28880954933174 0.292677320304601 0.22414383447836 0.241735545162154 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103437889228887 0.0829817746305137 0.0165814441653942 0.0236082546031656 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129511292867011 0.0566229654401271 0.0154890253228456 0.014174357233934 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.190370559506599 0.0790945921255258 0.0327142051435062 0.0266453519800529 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.231287608503525 0.27303009347751 0.157443115862141 0.205686203595204 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0756443554289951 0.0810911641786319 0.0171092420936192 0.0198665400970936 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.071726787486021 0.0473599483206051 0.0160937084790879 0.00739645638311946 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.103335822723784 0.0440032144493679 0.0335556993957652 0.00692947967128058 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.793516123635861 0.833153551062001 2.01179976961747 1.66407024830414 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.340944509410052 0.340571029113022 0.317670083046077 0.314454115896621 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.195140379287923 0.191008685101033 0.0966835802483102 0.105257520286037 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.133007730874212 0.126316298074985 0.0421815596320479 0.0497602398098427 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.475166178012252 0.49334889653922 0.652577340855049 0.650733195431708 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.154041397504168 0.136372094571262 0.045409205718463 0.0586218891002432 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.141259173295851 0.0740835990371942 0.021834503167091 0.0220003895604104 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.195666882320942 0.0813736626846459 0.0357579556668708 0.0285604791954494 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.384643296505111 0.455277581154851 0.453050134690033 0.548046738947545 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.118569262251625 0.134958255274664 0.041517384024943 0.0530142984632789 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0857808168051316 0.0733295331772991 0.0228358614346875 0.0169525026798551 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109503022341914 0.0576631421276828 0.0373774987582639 0.0113373118418387 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.127248307169905 0.121705921279862 0.042769598193113 0.0416988388402976 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0541794773125383 0.0510526429639511 0.00705764435071049 0.00803176227590593 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0388398081858758 0.0303358045352361 0.0034342515619368 0.00336348322330388 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0432466708717172 0.0268199658570207 0.0048439182883359 0.00306896415331833 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0793165271123541 0.0689706947829081 0.0141743666042993 0.0145869752363189 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0672567390881817 0.0300873209716019 0.00407588893928294 0.00406730566936435 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.121713804290489 0.0505148798741471 0.0127351199683047 0.0109199530492834 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.188196055659349 0.0784824053977961 0.0316746135614842 0.0257633557882217 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0608972766201692 0.0654505833276506 0.0111919578416125 0.0122940414808797 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0348397977520263 0.0230144707528917 0.00385411835039007 0.00178804007783928 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0597686438939703 0.0229750678623658 0.0116818140397732 0.00200348955012907 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.098471931683419 0.0337235396473048 0.0307955938256664 0.0044282920395237 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.251755280395499 0.245021474555094 0.174702748332294 0.162729450108279 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106142461926352 0.101874664703635 0.0283365799426169 0.0304409353060658 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0647593963220083 0.0580904050636229 0.0096904861730889 0.0110129294969434 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0568426159776303 0.0417140481953765 0.00739442966007813 0.00666351985117135 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155137257322639 0.138118979609653 0.0601467054793801 0.0553426838103254 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0792535241268568 0.0450242495500887 0.00700410999641057 0.00813870640508002 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125398802708712 0.0510704104214935 0.013687106742599 0.011437725817946 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.189513710776047 0.0783980014515644 0.0322736428729231 0.0258003872686339 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119737499794372 0.130612973085005 0.0418669564560328 0.0478907498836277 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0461844154972627 0.0420250895760987 0.00642935838908741 0.00566080210725734 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0617327036064405 0.0298159972122596 0.0121886867086022 0.00316293465418605 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0983643995191523 0.0359367271649759 0.0307450670027169 0.00491093068544687 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.492278478481165 0.498714605148769 0.717792867435071 0.629992940817532 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.210210108702093 0.204422913712574 0.116313477731315 0.117592457041474 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.120976363847192 0.115026547508444 0.0359692570821592 0.0400499472081272 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0890872832810043 0.0773535071255048 0.0179255969961906 0.0201531882449965 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.305733036218775 0.279104770254141 0.254286364016832 0.213233601482772 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.111701697007299 0.0817778833560024 0.0195996499650559 0.0235070789257656 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.135221577333279 0.0572260462862206 0.0173248656234596 0.0144201603082489 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.194095628741965 0.0784705931742815 0.0344064578234264 0.0262616089781716 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.23836228552807 0.261660764437171 0.167386134453948 0.18531113609448 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0766591889435713 0.0819694984417684 0.0170504241628049 0.0204524392018293 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0696776706803916 0.0478081562078794 0.0149171928646028 0.00750563884145518 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.100050112234634 0.0438652448163904 0.0318125896375964 0.00688378027992679 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.43264759264958 1.53079401621953 7.20748827379626 4.98721465278222 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.612702375695328 0.626338310197415 1.09445892641301 0.999279817602693 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.350914351185736 0.347569929423545 0.330705457389629 0.332597180199551 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.233169232053761 0.227722233302307 0.136725921849976 0.151313922858001 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.887657047174247 0.873000188687441 2.55033148352976 1.77886107386273 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.278201763576568 0.244146030127803 0.181031757123282 0.177785654218771 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.194903735145597 0.119606988551807 0.0584432708287253 0.0502171777241312 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.22225524740272 0.0949925640751264 0.0556609923918521 0.0371858928321671 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.711028522870539 0.784191131894229 1.65621380701473 1.48615798424656 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.2148579824254 0.244890398825906 0.137422001477587 0.16721813859552 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.124662820817856 0.130417233285918 0.0465869182207921 0.0492473020826731 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.121800117875014 0.090873245735751 0.0467309834993546 0.0261281430566135 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.41426628873068 2.57048806725378 21.9231605805543 12.8946025352597 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.00339579224344 1.05557446715283 3.15673529454981 2.64636025878811 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.573616170724351 0.58767992025046 0.932303503035248 0.900146780717565 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.379442274434835 0.382346244885765 0.380618405025717 0.403922530970032 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.49022579795538 1.48755587278504 7.96228028734147 4.68996683554193 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.455865302857664 0.425127841486607 0.55132407103634 0.494734384253817 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.280162082726561 0.200573688536777 0.153634518916876 0.123776691204997 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.262081267265297 0.133560763531574 0.100297351880758 0.0636824126993208 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.20582171438244 1.3035796716309 5.17291288915528 3.74058559268691 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.361276209139434 0.412336769418221 0.411330311668935 0.44597923299639 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.195640571401526 0.217794076153393 0.119428694161903 0.128904463377823 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.15935450421738 0.147192768163709 0.0833294390426969 0.0639482869847657 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00202053885541123 0.000726643404388559 2.41637503222907E-06 9.38116839280115E-07 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00491889909482437 0.00155478375930396 1.69378337514606E-05 3.85355806529529E-06 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0101298592363484 0.00295538445183825 7.05538986045414E-05 1.4490761357178E-05 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0171164187910305 0.00387498544934346 9.88136031007922E-05 3.28847971855144E-05 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00284352584160271 0.00234754455936081 8.29399409772549E-06 2.61049024120838E-05 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00985276015071166 0.0101116370341911 0.000139813751176295 0.000527231744690774 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0210658255760307 0.0213076038976356 0.000688043375740449 0.00223062076008077 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0404351589395732 0.0354937983197851 0.00224468701206924 0.00678703919719508 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00206305862417562 0.00225512972322258 1.56761708235618E-05 5.88531925304936E-06 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0100927653984259 0.00714876325701065 0.000116563842472127 8.76166375465767E-05 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0232780252307068 0.0165836231820686 0.000562257497636952 0.000552269158390938 NURBSSource NURBSSource 18 181 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0424996076250895 0.0360697596916809 0.00212132595266267 0.00427997649068764 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0537238000527351 0.0671931908844773 0.00822214773461329 0.0126002222299898 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0203677278850352 0.0318045597054376 0.000989982565676163 0.00284768236968424 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0150176850552372 0.0184562428291354 0.000316040528019905 0.000902888040886952 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.018233047047696 0.0125149687156812 0.000187616011319326 0.000411335948211311 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0330950713868192 0.0320207708662381 0.00295045783821951 0.00292968673009643 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0136579061217616 0.0142009496727391 0.000330396314339537 0.000814632852281408 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0214960324325962 0.0220263201938819 0.000737151876787285 0.0023220462956326 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0404053030928368 0.0357435108327262 0.00226021165411098 0.00683360791022982 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.028925305929588 0.0270192744920751 0.0023678357843704 0.00199160543676209 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0131760582694548 0.0115388228211131 0.000277897606527185 0.000258701994563378 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0234391481770452 0.0173605934442819 0.00060114459198608 0.000589138433627388 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0426505366133879 0.0362726469431314 0.00214278586828946 0.00427573992527861 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.108257724354662 0.133594782198707 0.0361020652939114 0.047892447295942 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0398020892069584 0.0634386206988477 0.00430486923515636 0.0112388817987971 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0239756764420175 0.0362264802235978 0.0011513379760306 0.00361218272620172 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0219191299007518 0.0237770296828388 0.000469647533157162 0.00155586280325649 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0659067956243334 0.0638276507604929 0.0123432638355736 0.011343242147874 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0210615895618453 0.0215029093014765 0.000938158622617991 0.00157817318518994 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0233432031906779 0.0239020488949679 0.000909315787048525 0.00255865176321616 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0408286463054287 0.0363834111646193 0.00233862890033532 0.00695446330927262 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0575854108078422 0.0539113219609654 0.00954158603619192 0.00800719438459542 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0202555528869936 0.0195730078991927 0.00081407749151422 0.000856031193339264 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0243328349240828 0.0193677396434129 0.000726316051232646 0.000725429878593239 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0428059003350399 0.0368894732829714 0.00219365564161846 0.00431324827501342 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.220658893617641 0.262140121070274 0.169013602151347 0.171536124356567 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0801456774455316 0.125608395596342 0.0195473897390706 0.0426068418981958 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0444131612159572 0.0717411014418449 0.00495114905289484 0.0141484939973595 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0328124823066738 0.0466103948807403 0.00177093975396071 0.00603102816075222 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.131849229353349 0.127270968349596 0.052626672698572 0.0434059536676073 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.037731928937322 0.0379044666088491 0.00349962088378134 0.00439357256288883 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0292742555269936 0.0289568307719859 0.00160262998820214 0.00322069337770884 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0427335843534327 0.0379648760032897 0.00267790622228232 0.00695238190475686 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.11516850980366 0.107700413589833 0.039655887196214 0.0312987301724454 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0362902946480952 0.0371138635353924 0.00310142958989471 0.00342834891215962 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0289152855376031 0.0256879499382538 0.00123854024961582 0.00132788912173357 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0431235207293995 0.0383287925527295 0.00230668648649065 0.00426482218522446 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.700298787242886 0.747339171564089 2.15584556192119 1.22401815629379 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.256509227510763 0.360015664319517 0.256781927663826 0.312987228866271 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.133888262521701 0.210220688035769 0.0590728317708359 0.114219893182923 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0865869322629663 0.137596379278928 0.0200824463990953 0.0508371562260925 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.39652743455164 0.381504769059697 0.565491537719228 0.354054222144683 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107823526982164 0.10852047943799 0.0336575328739246 0.0325193007458838 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0625726067628745 0.0607277372400056 0.0097186169626649 0.0112014697475152 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0610331594750986 0.0538065897819568 0.00677959035306307 0.0110557530752791 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.34591073285036 0.323055362732032 0.413248213458208 0.258334528663432 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104981926230186 0.109619663386987 0.0308289462347355 0.0312457262237121 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0600095345692672 0.0613244938288479 0.00796238394577495 0.00888161735780839 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0545161798605156 0.0541861794113947 0.00474067687691569 0.00707318751402348 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19114074128325 1.21904688574491 6.82992619145289 3.16706995055097 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.450717221672714 0.574887553665873 0.89527379706502 0.746310561065322 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.231727752993224 0.340269033604754 0.202966024683081 0.282068305668836 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.145028559439192 0.225207363099795 0.0667147410272593 0.130540150169785 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.663548909802687 0.636141084027642 1.75916122090158 0.937242348799545 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.179606684446209 0.179926002170926 0.100974656216828 0.085102482288691 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0995506455458935 0.09711609412686 0.0273367159045732 0.0262645300467714 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0845510369878865 0.0756857718399949 0.0156187909127257 0.0186588740159654 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.575197168949982 0.540721677251767 1.26388766284244 0.692496790006073 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.175243659939571 0.182102828184842 0.0934219853454359 0.0847511948232857 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0950543395037241 0.0995140447108583 0.0230125796752519 0.0245177635649488 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0730972344440399 0.0756983960561021 0.0101487657549315 0.0133394211742445 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.178888882267882 0.222893581627738 0.111563046985687 0.129211518950139 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0677712417925783 0.107067595492723 0.0140803037536101 0.0313907002269957 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0379903131300165 0.0609867009618677 0.00361246806770397 0.0103340807661047 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0296674286006728 0.0395639997500818 0.00131306781605741 0.00438593128101874 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.10600412580078 0.104295580452393 0.0334525122323094 0.0298031759003741 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0333331111897726 0.0321951173301435 0.00268989872495776 0.00322599989093754 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0276840164140259 0.0269543099400645 0.0013440451022945 0.00300218344470088 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0422421100246799 0.0374830746453623 0.00252352344921365 0.00719134266081933 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0946966533855823 0.090112389246736 0.0265552556239943 0.0213255362265339 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0322839053292705 0.0320852623658963 0.00243006703945209 0.00246716698012604 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0267642027433688 0.0242237827205365 0.001050965891777 0.00119135471135212 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0422324613721023 0.0383971005185134 0.00226206142752107 0.00463671549734196 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.366541098940671 0.436461481531815 0.542642160720153 0.471833741313269 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13860238051496 0.21073895614198 0.0679725937142144 0.1169876121644 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0744998502898792 0.120958619456395 0.0166451338310066 0.0399062490827915 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0505937230019626 0.0784897202527348 0.0057790652580153 0.017140595495958 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21211934152505 0.208571039508649 0.147152429242409 0.114546489609377 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0632399797070451 0.0622818169206179 0.0109324266423645 0.0111004314752363 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0405446426238422 0.0383827922198797 0.00350166341219259 0.0051966670620889 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0486344367976362 0.0428545952385837 0.00358563683947099 0.00840033676624032 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.189496386594147 0.179749518509702 0.114060309853866 0.0820129924667482 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0620431126036551 0.0623707461301801 0.0101550676279384 0.00987740050185328 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0385705292748726 0.0382849157058799 0.0028133173897179 0.00324586582711747 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0439636121749184 0.0444080778144127 0.00281192821685257 0.00555631964992116 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.760716999079737 0.845854836204477 2.6733551110934 1.71016362272665 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.291118257797245 0.408046226816667 0.354254964235156 0.417281919154821 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152593511646333 0.237280952864458 0.0837048629902203 0.14760709382121 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0976246258546896 0.155236277356547 0.0281790324304025 0.0650863164670002 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.426573271329041 0.417992584162257 0.677551884651018 0.439332536190743 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.124795845065554 0.124018874219152 0.0466880413551591 0.0418412309817832 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0706064444212805 0.0669650485755222 0.0128144844001686 0.0137045152135193 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0668738125985274 0.058564249326974 0.00823084381094728 0.0129260466329453 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.379585600354328 0.358917927669364 0.510375223973267 0.311376536987404 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.123041382826922 0.123291973311184 0.0443450303078892 0.0389519101957992 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0670832412549315 0.0698538045899382 0.0108099811720496 0.0119158418120948 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0552537775253142 0.061494950815702 0.00545370940846337 0.00932867946390635 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.35958370613043 2.45472430175281 29.8269004198218 14.0065094891374 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.951842809033959 1.12823670566782 4.58947311297289 3.02726914537696 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.493907012147923 0.663601962411163 1.12560088197661 1.06910216647577 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.30423297979266 0.44211836893911 0.375071439491454 0.488179060929335 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.29373641309029 1.29444729684093 7.90704230955548 3.98011917915172 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.383162988931799 0.385059368796497 0.542801508627868 0.379020644513533 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.20269776214407 0.200351584101624 0.135626082375218 0.107414926169044 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.15969170946819 0.147143476497415 0.0709429792011984 0.0607521128597864 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.13776448871948 1.07891957287771 5.64097579521862 2.62915327771102 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.379917331980081 0.364249832709103 0.52894672291142 0.330156396929565 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193762185883999 0.200974765464299 0.123125534296772 0.107916197947686 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.126665138411437 0.145444341254181 0.0431572233609306 0.0537064309175328 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.99055442126187 4.11210675989239 88.576914515959 38.6122848116395 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.63466209391815 1.803379926009 14.2248448957844 7.69212639114296 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.857928434122106 1.04670493540311 3.6519882328641 2.59857454444554 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.525773661950863 0.699666290851764 1.24958675180103 1.17587357011395 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.22167332669045 2.24660364522414 26.6720213831531 12.2852976563556 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.676837566570338 0.679254637312979 2.0310480180668 1.18238344808312 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.347275355719723 0.35301695998247 0.49873794341913 0.341797083204204 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.265239316304695 0.253253831514731 0.264169413304012 0.178751047236877 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.9276975158606 1.81369614273572 17.6994553483927 7.53408848414793 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.652666070227872 0.603015037486187 1.79100474320486 0.91596709167983 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.335699478080399 0.336055950625134 0.438556123168654 0.313082758579393 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.212755066864497 0.238646691363245 0.153298533855318 0.152488198354473 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000490128135014243 0.00148306882280909 7.43735784056198E-07 8.20453252411879E-06 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0013891789550808 0.00553302650972548 4.54103066681047E-06 0.000107437108141517 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00320849525582274 0.0118385946313301 2.16399429617148E-05 0.00049774817251544 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00645324073143957 0.0212226575941001 7.14481445731676E-05 0.00156140031081172 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.010805121589569 0.0121981742081312 0.00067582981100038 0.000489675033616619 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0455045257259257 0.045919161675235 0.0115481421217122 0.00670515949004747 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0857012266222859 0.0868316970046836 0.0398771533240227 0.023477604054874 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122329396109368 0.133165302379264 0.0798192644099485 0.0545673891555922 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00632521962521556 0.00863435014010014 4.54861422165507E-05 0.000169530393418139 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0175641751937564 0.018462873756248 0.000431472112149387 0.000539309336308282 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0321738772781803 0.0357079590989033 0.0014209837413355 0.00177290333173734 NURBSSource NURBSSource 18 182 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.044115372557613 0.0543328227588881 0.00219069064384344 0.00356959974311236 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0262042065084787 0.0442967824793232 0.00254621682998062 0.00520066800315998 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0111138734657724 0.018807888642649 0.000444822958252977 0.00101154525365818 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0071128362935492 0.0150087041203157 0.000158675691494482 0.000769046549024096 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00770902705801323 0.021914406709744 0.000130741416038094 0.00165828050541708 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0201535541764212 0.0282301203656573 0.00197824102455261 0.00223805365086842 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0456539955652731 0.04630398025283 0.0117156430863681 0.00684994002127901 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0857951723559044 0.0866918527219248 0.0400118055519451 0.0234613225669458 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122460875290232 0.132992175838009 0.0800092382102148 0.0544938484919049 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0174284667357133 0.0219807873989441 0.000850179679115501 0.00131497480419576 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0176843253515057 0.0198312435999909 0.000510677207169431 0.00064969126019626 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0320924635719914 0.0361856977199802 0.00144303316290684 0.00183834086816467 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0440392703223304 0.0545101474446293 0.00219883133029091 0.00362165087161922 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0523320400964421 0.0884819464683004 0.01028428010022 0.0204565215353416 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0219670648302534 0.0365557575695518 0.00178282927648901 0.00365091252198017 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0130402161896697 0.0228232812197155 0.000578933863972124 0.0016246998039343 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.010709170667906 0.0240634069152232 0.000300118303484861 0.0019848613000621 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.03682603424533 0.0520821030396464 0.00581812591548929 0.00744625737285087 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0460695157884745 0.0478363257901516 0.0121309818103727 0.00729449163399662 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0859434939474937 0.0868209275511609 0.0402554452689631 0.0235656456819721 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122644775778412 0.132904587266157 0.0802824251086735 0.0544854716259564 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.033532032920485 0.0415991852099344 0.00349432548208671 0.00474342668552465 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0187577697023984 0.0229744956867899 0.000726516763214867 0.000948103242679205 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0320533556841784 0.0370713096770793 0.00150319511982742 0.00195983253533442 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0439621053810179 0.0549827975636471 0.00222720162425087 0.003705859840556 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.104533489069501 0.176808029128329 0.0419835648211461 0.0800463019156046 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0437280962957096 0.0723235637613863 0.00719123267762033 0.0139763894091019 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0252570472921348 0.0420605229759863 0.00229062190511611 0.00502454628275398 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0180375824424499 0.032370880693143 0.000997708753422474 0.0033847690697602 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0729378565491293 0.102223158945094 0.0210494608574929 0.0280499055060673 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.048611281070227 0.0541031252890192 0.013893326223314 0.00910831753178567 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0864119158837263 0.0874766287795888 0.0410770699378677 0.0240671239651208 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123090144930219 0.13296324868438 0.0810425413925362 0.054658319571442 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0662085953141619 0.0817673965883789 0.0145518214002825 0.0182097818747302 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0242702625709697 0.0315048792059136 0.00160543093375268 0.00212499190530954 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0322120762047287 0.0399679501065939 0.00173848075574325 0.00237747279252972 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0438236468737776 0.0564646638563354 0.00234486306489313 0.00396380798460772 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.314877699482063 0.526891354733212 0.411846319401469 0.654433118112937 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130614177456055 0.215632395285724 0.0662249766996527 0.120264179205131 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0746087290185226 0.122170459218509 0.0209430037563755 0.0398162148180411 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0498481136632848 0.0811578988088474 0.00874564122997551 0.0183847569599956 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21863813136011 0.306144477867077 0.190041490462479 0.236898757812426 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0783471083287914 0.0993379141368144 0.0343997902993274 0.0282854394817595 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0928016073134536 0.0984564292165351 0.0498332716124376 0.0306251283402935 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.126391144838041 0.135740690658503 0.0872968643377073 0.0577426438475231 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.196778908872987 0.243904157035426 0.138444804955022 0.153319928139579 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0611115794459678 0.0768002270574496 0.012209050657196 0.0152708203054597 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0407620425206963 0.0584167727263401 0.00432687487039081 0.00646371776804602 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0455655577741641 0.0666738090577637 0.00364529963762035 0.00619075471787477 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.543184745278781 0.863138362579193 1.29968820626509 1.62978755587658 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.219185938767153 0.359977924902829 0.189859350889672 0.325792613986156 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.124851922719079 0.203553487828583 0.0594533063319449 0.108046744646366 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0827378581519472 0.133283673864303 0.0248500342499234 0.0478155261572358 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.366410724270707 0.513314470256743 0.561637757655632 0.636371284384635 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.119982106760048 0.15487993365399 0.076574690480516 0.0677294573279248 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10898262601757 0.121649369832968 0.0692596369663369 0.0456623752717531 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.132853157295051 0.144556519504054 0.0994493086302001 0.066022370163571 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.32486392914976 0.411568395248924 0.395286950539083 0.412624874905144 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10053828509453 0.125770794473894 0.0344248428966335 0.0421332045214171 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0582651170197553 0.0820099306688295 0.0102053261648998 0.0148121871390366 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0533213668280861 0.0805137580292767 0.0065120012669783 0.0103798784091354 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0834050397744107 0.135074799159298 0.0280170768223783 0.049972707143054 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0349959040112262 0.0549360612509693 0.00485684920721917 0.00847909741020583 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0199565646514455 0.0324031984805184 0.00147203592002818 0.00320454526920488 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0146502428191487 0.027664472628231 0.000635924046578151 0.00262971751880645 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0586062947863184 0.0761807799230063 0.0145938003456502 0.0165443055407379 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0468772935050925 0.0514382329121735 0.0128325796369201 0.00801694641716844 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0857793116673339 0.087101985224186 0.0402794094291797 0.023343532951773 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122334990001442 0.132605809173759 0.0798882403993521 0.0535699823576286 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0533592158917409 0.0601720802691133 0.0102768515880385 0.0104807871914199 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0221813632435563 0.0268725464166876 0.00120934270521059 0.00137798604579878 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0324523783422771 0.0377625533934036 0.00164315476973387 0.00197090685654896 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0443792158997926 0.0549728559388152 0.00231682897331115 0.00365774742966302 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.16728781916494 0.26923362339169 0.115183585994805 0.193428221705142 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0700018435436878 0.109501229466024 0.0196948586637366 0.0330183598072105 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0396390508430511 0.0621162783662653 0.0060360606201462 0.0111200187081792 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0270526558429841 0.04383672601501 0.00251569073015392 0.00605557368253117 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.116065172668578 0.150465695138655 0.0551372600559788 0.0634957053298076 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.054675056372956 0.0648049715516779 0.0174668782040511 0.0123398184578007 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0864378953456908 0.0900464410275426 0.0418020347936632 0.024622026154223 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122612386223942 0.133377471216815 0.0806567061600476 0.0539424111924077 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.105969998108674 0.119800844988322 0.0425721158844301 0.0408911817181101 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0357100363067496 0.0426670909249571 0.00383431694326068 0.00412667418875787 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0340328158737398 0.0428057013990246 0.00236686284398688 0.00272191356622483 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0447253338022137 0.0574975852570297 0.00267739211814386 0.00406159177148908 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.334678747633763 0.537488165450976 0.480086997937892 0.724330988560625 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140198780873591 0.219107812876228 0.08014482298712 0.129380625467685 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0793714226851758 0.12306979426618 0.024759722757265 0.0421492561421262 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0530737760838792 0.0813129044723973 0.0104126040523867 0.0194187573875302 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.230718123873015 0.302270405496928 0.219336241338943 0.245851874983547 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0838043757854412 0.104144076718018 0.0370332962526191 0.0301498131422137 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0926307080772541 0.100563418273797 0.0495692074211177 0.0302577463671699 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124453660310831 0.137045923112254 0.084888266164064 0.0565696929492267 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.208425028781715 0.242651599652055 0.171508693424478 0.161250178175174 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0665844040305448 0.0784277344811776 0.0153245065991238 0.0156285606041422 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0455092446495662 0.0573057670502188 0.00551999753707761 0.00595885590331001 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.047806123705132 0.0656388598765576 0.00414501557167862 0.00578696243803448 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12011743265147 1.49402094850818 5.97570432150757 4.93098327108234 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.424047593053141 0.650544394585589 0.778638291736857 1.05971650378706 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.238253806437601 0.366255981536766 0.23196836458848 0.355913464794194 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.158090161258569 0.237771117937813 0.09836124668732 0.155626692434441 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.701142587570584 0.906561016719338 2.32709144553773 2.00532016453218 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.224219461773575 0.286936204108309 0.244152198401711 0.220467936037443 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.158557985302126 0.187828054547794 0.14269777046705 0.0961687358063237 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.158057496581679 0.177097827528442 0.143380777382017 0.0918479290059147 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.60158480381453 0.744106532519769 1.66610068098259 1.41493449589413 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.192403370421385 0.231352420745981 0.144723261827783 0.142719232601266 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112767620474065 0.134648097331401 0.0452866977587156 0.0434116624685971 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.086867201924364 0.116402143768431 0.0221057123787885 0.0259437857072592 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.98496849669957 2.3819788012187 19.2358454173374 12.1828285002028 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.725093693282776 1.05607580304842 2.38845355366993 2.65687448794416 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.39829810931899 0.603897041782573 0.667636513768612 0.925676722182566 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.263137607088303 0.392935829281578 0.278483647985253 0.411621697696902 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.21895989804005 1.50230438506345 7.54636424071536 5.29696254060314 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.368433414418111 0.486139100866147 0.667584234480709 0.63235309537744 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.241672665956913 0.297674340397487 0.319861011435562 0.242310481275978 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.213188859218763 0.250795451235676 0.254591741193799 0.17843982895428 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.02872530216651 1.2256816839545 5.282290126307 3.80373196645252 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.316244224430351 0.389986526749329 0.419177050099175 0.40051131546325 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.186754198603762 0.221077834489105 0.133447776695585 0.120341967622857 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136177985874772 0.180620256451859 0.0613535470657685 0.0688660003503918 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000981475742106658 0.000520478304767497 1.04348145064107E-06 1.16569343783985E-06 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00315344733039676 0.00181246140925248 9.79077603914812E-06 1.45355359023939E-05 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00646598172827187 0.0038114025868587 4.04092512172169E-05 6.42868287477232E-05 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0115854687095894 0.00684035509025401 0.000145555140273169 0.000225728696936042 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00102130091878278 0.00105994419070179 1.80452611548352E-06 5.42738427319801E-06 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00344227564375251 0.00505484042463674 2.06467565646145E-05 0.000111097793044066 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00708021981312695 0.0109363470076099 8.75089943516261E-05 0.000506149162302269 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.013553566091563 0.0219334808917941 0.000364658220320581 0.00199735587244527 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00156420383618868 0.00203400311667631 5.0466995808589E-06 1.91329247700988E-05 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00571616026491433 0.00567191172631202 5.14856848306891E-05 0.000134505076272909 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0118367219847943 0.0123524710530954 0.000222061953471844 0.000620289667339804 NURBSSource NURBSSource 18 183 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0196231521626209 0.0236746793675941 0.000605991158203471 0.00236589533593524 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0207288920037737 0.0166265827119768 0.00107521489198989 0.000817490345224894 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00898713741360556 0.00704622215743458 0.000166287506032436 0.000166758765570042 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00771635080720445 0.00539153480873557 8.31003261870636E-05 0.000116284798557787 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0118535483153673 0.00743552619412857 0.000164908734327116 0.000255323027816935 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0128107556020211 0.00889230092764891 0.000403460539316169 0.000229331378916754 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00465401234664334 0.00575757409423177 4.46973912922054E-05 0.000132582247864869 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00717654744982636 0.0110045267627703 9.26839083249152E-05 0.000511710045727205 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0135107851621729 0.0219251814432155 0.000364573950042524 0.0020002917646568 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.011620722669476 0.00821326504038269 0.000325196068294292 0.000223259363725885 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00650737157294212 0.00619641549349493 7.46072241604293E-05 0.000154633148895757 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0119236831213994 0.0124096721387887 0.00023104853648727 0.000622708498319405 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0196438726381625 0.023651484620916 0.000615025937418754 0.00236073234146409 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0413976164585891 0.0332210108971359 0.00439645806166664 0.00319748857374535 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0172309780969268 0.0137556697781025 0.000681653826119979 0.000595840548782579 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0112664253342199 0.00846661106728048 0.000224730212240199 0.000260907959117445 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0128456391241777 0.00863725033644906 0.000222183042010036 0.000326731926215742 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0256113088790064 0.0176410323668404 0.001637227372614 0.000885849418245155 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00744696918583812 0.00735248962261559 0.000124383130502303 0.000191326354431586 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00759179602770215 0.0112154975982335 0.000109664950168166 0.000526826032681153 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0135332718682602 0.0219440204495166 0.000369421898484447 0.00200822382455143 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0230212403502823 0.0161961043948088 0.00131147577861495 0.000798101728263127 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00875717857000256 0.00755718328416617 0.000146742773863418 0.000214999981261012 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0121896498609676 0.0125912657938816 0.000250671768368089 0.000635459986199899 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.019720314692825 0.0236486494507811 0.000628757510219196 0.00235935904074436 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0828857991416804 0.0662164524158601 0.0181756679505167 0.0123172567563696 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0340561731634008 0.0272951787707777 0.00283073438932887 0.00225405794987939 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0200810465970613 0.0155998165106936 0.000847286845536127 0.000807431258976963 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0167290802932116 0.0121430872916399 0.000465515967209425 0.000588093196498899 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0512722490362507 0.0352180757085171 0.00665819213431472 0.00345488668541459 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0139096981551171 0.0114560648201556 0.000459495567596123 0.000415852818347768 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00936806794343499 0.0120669742484629 0.000182711172258763 0.000586611282706962 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0138546849384171 0.022080690695946 0.000395515586862682 0.002039951946603 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0458897318610484 0.0323677631977784 0.00532351637248064 0.00301121074612128 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0144590010305274 0.0113693795328817 0.000448333144412494 0.000446666971870324 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0134289763268674 0.0132696454946401 0.00032538965182378 0.000690495065720929 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0200377064785354 0.0237453288263176 0.000670461024632378 0.00237040665159562 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.249702349298448 0.19608301906261 0.180637567603446 0.0987545780043502 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.102168998513023 0.0811219518302096 0.0272639177439321 0.0187286437686972 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0577460605649958 0.0455150734030233 0.00809842560971341 0.00623775310487531 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0396305352376577 0.0306015706182902 0.00341350227113993 0.00310796721219863 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.153782528345782 0.10565258351496 0.062570464871261 0.0292476812632357 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0409386817410872 0.0304470952425587 0.0041928684940657 0.00273636920111382 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.021003003874835 0.0191225615139802 0.00103588541620962 0.00122088717402935 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0181329884612439 0.0240461472477247 0.000726054213233628 0.00238739841140374 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.137135832521088 0.097408999719072 0.0498482119284203 0.0250839246500122 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0401036599732845 0.0298610466089537 0.00390271310034425 0.00276747071102223 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0237202459948007 0.0190242279718579 0.0011596891718445 0.00129256721168599 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0235333225509682 0.0253571115019933 0.00104423951173774 0.00259126074026981 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.413731084065632 0.328820025353633 0.528074744039813 0.258531016139636 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.17096332974995 0.134283689341575 0.0793475424696936 0.0495378030268295 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0960921136653798 0.0754826847098032 0.0234008372678914 0.0165398989610467 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0644686529398443 0.0502618744351583 0.00973693425185915 0.00787147630147015 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.25404019524102 0.178000589521245 0.178016219494647 0.0792702056466057 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0684229976595223 0.0502518248715244 0.0118906399032122 0.00731685520795395 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0340164272822616 0.0280643561832328 0.00282227971183314 0.00246994898237974 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0247697437934244 0.0283761654663038 0.00143187589991483 0.00314576829233584 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.226519166440777 0.164665548892382 0.141647154893681 0.0679043936815071 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.066363683409853 0.0492448948924097 0.0111327208724582 0.0072012481009612 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0362251316604819 0.0271923417983176 0.00292164375999052 0.00247328698071439 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0295540967151144 0.0284177825948373 0.00178921697003401 0.00307305880809701 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0693851772949799 0.0520745529940672 0.0129895322846877 0.00746737195356677 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0291280591209271 0.0217069376223159 0.00212478448172974 0.00138037812041999 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0172344304226353 0.0125505179543736 0.000629746623997247 0.000521614487835337 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0153802882376304 0.0106092238645251 0.000379797933336922 0.000444505607661075 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0439708873000024 0.0288070527429763 0.00507372465650304 0.00226468075618867 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0124781835628643 0.0105236843133613 0.000377210569317944 0.000335738901162406 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00915915098034071 0.0122050414647744 0.00016851497934547 0.000589151034873768 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0144369988682265 0.022475298728184 0.000419303876060278 0.0020887510373615 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0396098597703734 0.0269311231713299 0.00411405487491965 0.00206683365130782 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0129602637231665 0.00983218568484337 0.000365530401191135 0.000337859160742591 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0131010941084326 0.0129678367024106 0.000294754134684987 0.000660769176383269 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0198675204882767 0.0235974804149033 0.000629759163301737 0.00233838573017151 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.138503344576894 0.104280579850212 0.053383860569106 0.0288541355902784 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0580506280978593 0.0433286960327837 0.00878807775940467 0.005303914112644 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0331790013753696 0.0243605328939855 0.00261106950455457 0.00180255674876716 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0240758010077638 0.0170858898526812 0.00116280065239087 0.00102864214341719 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.087712353832127 0.0576859798244656 0.0204982283496209 0.00894236052024703 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0242405305702114 0.0183363981442633 0.00148896051747691 0.000948848485259972 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0136717596813335 0.0146710962624293 0.000416084476316368 0.00077456804648087 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0162183383543037 0.0234854293600844 0.000543887974519666 0.00224085253182228 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0789043243608038 0.053876117711359 0.0166507606191915 0.007942660832559 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0239517336766162 0.0171206891326399 0.00138050210924807 0.000931979529127974 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0165990088478173 0.0147586666414357 0.000525531908799638 0.000807666981658078 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0208872931801171 0.0239456097658868 0.000713538783902301 0.00236148978940152 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.274878092275855 0.210714290096989 0.221443637418953 0.110518919903469 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116028614843486 0.0865585136633604 0.0363097039880927 0.0204406803690635 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0656971082061089 0.0483553530027542 0.010929686904267 0.006713035311284 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0446214033980956 0.0320074985276938 0.00458303880641334 0.0032389143567544 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.174190939522092 0.116348265382118 0.0829317347959849 0.0352829358646431 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0481252194542264 0.0349216647453659 0.00603360412176087 0.00333037677340457 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0244666155087486 0.0213714802975939 0.00144117605041457 0.00144831327508836 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0214766239168421 0.0264369625539903 0.00101221145789751 0.00271198585202483 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.156804331911166 0.108171252727503 0.0675513182151092 0.0306209425300232 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0469384630540563 0.0331742890621604 0.00562589680899985 0.00324731218609323 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0264568177770929 0.0201477587928898 0.00152120009475547 0.00138866039093007 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0245411032536349 0.0255519313225955 0.00106539997461431 0.00253954096995412 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.787471878967112 0.675405781574992 2.0909309014436 0.957257094225561 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.343370603256696 0.262016551577635 0.341439753496984 0.172038390571958 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.195758599504866 0.144268434045931 0.103761043466113 0.0553885681477395 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.13054724082815 0.0938351133300372 0.0437369400441376 0.0246781295027884 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.497991865933969 0.374727173106083 0.751596144716696 0.319372988857325 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.14450355565772 0.103258245536541 0.056631009917253 0.0275658641372323 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0705043809612732 0.053286970429095 0.0129654876512993 0.00794222507105677 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0490720981577994 0.0441936177438933 0.00600056511680992 0.00662583950756775 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.44788610425282 0.342945626459291 0.612728618945236 0.265924583095777 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.140099536234598 0.0991805584372736 0.0533689949615368 0.0265279116725735 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0728979828181306 0.0502523123856152 0.0133924721503306 0.00737206630769591 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0488362842835972 0.0381830638859352 0.00529760777770372 0.00475661397556261 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.29169766503354 1.17518513481665 6.0106548828947 2.65689005635365 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.560030117588165 0.448074856692784 0.956952139710083 0.473099552771361 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.323464630177618 0.241729679956626 0.293166464628717 0.149326803447928 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.216427084367408 0.156233748897095 0.124455204002768 0.0656136442905615 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.802766960439103 0.668212401051158 2.13364315507844 0.921516332613794 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.242400757334911 0.174363634684666 0.164831149463741 0.0769127521972769 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118507685552594 0.0877010235000373 0.0379283835394207 0.020703842398762 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0795925365587615 0.0667535246218833 0.0167104114935018 0.0140680840792812 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.722958005611319 0.606632060376714 1.73744406121949 0.76118462727589 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.23309639559297 0.167286091256853 0.153084621827423 0.0724555738600266 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.121042867523214 0.0833897566446897 0.0390363958303169 0.0191132223206696 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0780491501960656 0.056143598586102 0.014785668615498 0.0093304285611411 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00121239902469807 0.00101876452672226 2.93306862678648E-06 3.04289599902185E-06 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00386722974222919 0.00305156460012556 2.99672307069897E-05 2.72085089592406E-05 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00792378352077023 0.00623616361115918 0.000127825799059206 0.000111861261773284 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0149490747139698 0.00852069702504615 0.000441187507728012 0.00021604446265191 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00354503664119202 0.00198898039024094 2.56956970052448E-05 2.41218948356145E-05 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0143772179021397 0.00772742110924699 0.000433370283739609 0.0003892533788106 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.030071323505287 0.0162285274576518 0.00192603924413638 0.00172869870433721 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0476876829443069 0.0314523050857355 0.00477982137953529 0.00696815679070872 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00189736716950148 0.00295028812195453 1.22185219031423E-05 2.46993894694497E-05 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00452608261922394 0.00899116894343268 5.21327093478539E-05 0.000237729486679095 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00935937002798675 0.0196120338076228 0.000248591158314107 0.00114442614999225 NURBSSource NURBSSource 18 184 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0144508829172369 0.0404933634037957 0.000660046624134317 0.00648293988430091 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0260298656134794 0.0183672943106233 0.00174196094418199 0.000876464085307774 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0112331727658849 0.00822714294753892 0.000309579729520991 0.000164094689800047 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00942642483018536 0.0076885503084951 0.000204296600791784 0.000151617675451742 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0152066141705224 0.00890390926121192 0.000466107775871208 0.00023403293068932 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0160995021422532 0.0104188052337157 0.000637994044440305 0.000329669810806318 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.014849056420632 0.00849828299034513 0.000474679559524964 0.000423363720722326 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0301008543581889 0.0163742919582061 0.00193567312870655 0.00174330618671967 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0477249504602143 0.0314929310734179 0.00478722525109346 0.00697614325265784 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0141429949686453 0.0100895996885958 0.000531711142865466 0.000262000368429507 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00610781644745769 0.00945501140853101 9.60694591227573E-05 0.000251690406620717 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00955382228619634 0.0196236943749335 0.000258773501766792 0.00114461988095293 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0144358947740733 0.0404847820038807 0.00065627256728538 0.00647805187213898 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0519542383819214 0.0366605658009021 0.00702681257440481 0.0034731061994575 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0217428759644189 0.015433912076057 0.00118223045804292 0.000591472863797456 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0138302679594909 0.0106935769466291 0.000462186807783507 0.000275710775264598 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0162762683329405 0.0101294845788454 0.000558778878908657 0.0002903728308153 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0316124742903829 0.0204676229681819 0.0025189870374881 0.00119160186643687 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.01656567747905 0.0101054386106196 0.000614023981826407 0.000509352914217873 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0302350329142372 0.016707152594095 0.00196787364550002 0.00177542136745973 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0477965470770286 0.0315905530712466 0.00480604324998642 0.0069942864069168 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0281433021919975 0.0195746638772331 0.00209004305802248 0.000999400248112879 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0094230431329563 0.0107422879296617 0.000231728751646115 0.000296919723922289 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0102505535301842 0.019764456974351 0.000295609063831677 0.00115290848894828 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0145166663604486 0.0404956556732027 0.000662801986122666 0.00647693918031335 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.103413559462771 0.0737465957019995 0.0283719331991368 0.0137737698598444 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0430985483097751 0.0303725372186172 0.00472178153586541 0.00232139399017368 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0249458581297431 0.0181381567694666 0.00153808116030396 0.000791708437116328 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0210006778017048 0.0139547165071289 0.000977022546153242 0.000517052684709805 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.062838975596797 0.0409081866251931 0.0101423375003486 0.00456094514341999 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0227061688100746 0.0142728418869088 0.00120499710971162 0.000808068055024169 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0309520877917136 0.0178531861248739 0.00210751910240629 0.00188898492405512 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0480036259842361 0.0319731936515856 0.00487507402358751 0.00706310734683118 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.056233365403392 0.0387769894101219 0.00836679031696793 0.00395117066949228 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0172391641501632 0.0142858240008191 0.000780843370653979 0.000482076976369327 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127089008144018 0.0204691287176674 0.000446918043609588 0.00119483660712267 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0150711874691774 0.0406147218344844 0.000710897965490967 0.00648693201997994 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.302895585775352 0.228787390939249 0.259380891505138 0.121085432480492 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.128282288553507 0.0913549526738947 0.0430225011036302 0.0208266042080736 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0722544762076798 0.0511391163892973 0.0133247867795106 0.00647943466046253 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0492352053203936 0.0342879202179856 0.00581949515693199 0.00297143568676042 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.186152602863201 0.124547371237165 0.0928648824747359 0.0395480247759232 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0559871142379935 0.034704095229705 0.00778977925368546 0.00361302382685342 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0398029239510834 0.0248990240529923 0.0037577430198023 0.00281366220530979 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0502416997604279 0.0353626086900295 0.00561877594740575 0.00770966230078915 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.167418789522496 0.117155035312394 0.0762309211500993 0.0350474677144162 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0505108493332415 0.0331476286709729 0.00674281515708346 0.00259512310706252 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0276207661598026 0.0265727987087171 0.00206651568479293 0.00170793391829909 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0214776251936618 0.0424295562659112 0.00136966386502633 0.00669536959680308 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.489955312999751 0.394973777146037 0.720655115888124 0.334391218711408 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.2123114199517 0.15360484558374 0.120284366248874 0.0576882998928229 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119796774236065 0.085122537208249 0.0371360699804095 0.0179793581237992 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0799268876421124 0.0561074844855422 0.0158010660466526 0.00791726671124824 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.30445440348833 0.213733543137391 0.257517857960822 0.109811475636506 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0914869100222497 0.0568879134725519 0.0212855199032161 0.00901130903184682 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0543117513275009 0.0341622664884623 0.00723547804649534 0.00446712943374697 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0558733083281226 0.0397855107234579 0.0072525809227152 0.00874910453192941 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.274065624427655 0.199756668430647 0.210813634633478 0.0970386839444604 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0839865440246713 0.0536981377543445 0.0188000747282188 0.00694743331564893 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0444363255967273 0.0348687143457736 0.00533097553978599 0.00279163596120576 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0309603025374705 0.0456027351791792 0.00273904444456986 0.00717128425274756 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0855639080797075 0.0600407633124069 0.0203414588738094 0.0100904081155684 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0356720097841153 0.0249980761449053 0.00343842033885905 0.00174124451425405 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.021211313338036 0.0156242534874606 0.00117066525101662 0.000615912956032335 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0193187866393716 0.0129948209808959 0.000831602189866247 0.000461879688508937 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0518586334208253 0.0329399323235168 0.00740143087431337 0.00312696808554574 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0208026432249001 0.0134869936102738 0.00103145525588193 0.000782738075470912 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0311528384854305 0.0179253705821022 0.00212219481176547 0.00194760836231584 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0481704233076074 0.0327306770359979 0.0049000030580818 0.00755039516815465 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.047157974492325 0.0307465301308175 0.00607795022134329 0.00257631190042975 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0149932380671721 0.01318400981789 0.000614089193853393 0.000408362824908555 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0119484014030191 0.0202342598745966 0.000410859809324586 0.00118491849667586 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0153173399683291 0.0413916062509157 0.000747892796468994 0.00695155960616815 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.170275875579472 0.120708992940896 0.082839251198727 0.0391591878309195 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0710530350995173 0.0497274458806015 0.0138388082051536 0.00695300875829373 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0403359229042431 0.0286753550004214 0.00436948322198758 0.00220454194463025 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0295866570655923 0.0208266095357855 0.00211317950458811 0.0011803862314199 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.103083280851524 0.0662120926380951 0.029881715612447 0.0120934921346225 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0335001026581015 0.0216898040934378 0.00283819407592321 0.00170701631619931 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0336732624095226 0.0207748668747453 0.00258195286824531 0.00227576610283812 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.048875100277728 0.0341164762827163 0.00510348225434918 0.00784618212338643 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0937932271436971 0.0615333918322047 0.024361686713727 0.0102277864991105 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0290507704166352 0.0203237185130501 0.00231040612942026 0.000986080917927204 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0173187706026381 0.0221208648226698 0.000864814972315074 0.00127598651900989 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0173205751514648 0.0417988415909286 0.000952893214927716 0.00694670451408314 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.33514328800632 0.245820099284529 0.338195534660057 0.150699441942652 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141567102633565 0.0994416076223947 0.0560497982634754 0.0274199111298184 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0798219990387369 0.0558667683615389 0.01740562755788 0.00865613783707005 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0539552196291816 0.0380199810725464 0.00748173654436991 0.00402860820426253 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.204241181040677 0.13421504367414 0.121039650469313 0.0470298719722151 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0622708936164634 0.0399013781032169 0.0102213023043946 0.00515490531775447 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0430770880255654 0.0276789318695954 0.0044737131785152 0.00333770209694098 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0517668796520448 0.0379795268749635 0.00593921457147195 0.00871464527771457 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.185649436892786 0.124453430254342 0.0981227749187376 0.0405185896978367 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0578317568412992 0.0371139485731968 0.00918244644457848 0.00348194269990381 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0303919068509595 0.0278974645784823 0.00265562423966405 0.00176885911820081 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0239618238511526 0.0436841356503098 0.00176457622969435 0.00713691657808745 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.946837055061792 0.801439109580499 3.12311761239001 1.3434610970549 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.413952653991933 0.305888115456898 0.513695933774354 0.236175551225881 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.236974580880593 0.167499271963768 0.159230353131483 0.0752738949127953 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.156932009073469 0.10994731217891 0.0670896239553232 0.0335161183687286 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.57744663763668 0.435928530089509 1.09091365620272 0.436242139744178 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.182047299360256 0.118040271787688 0.0918178268758323 0.0398198962268843 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0984151790257338 0.0629799899337508 0.0255175272696392 0.0129774529042111 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0805046433736418 0.0568687204460316 0.0158492987129663 0.0146065527860431 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.526689340063126 0.403460600116598 0.882884188332219 0.37388411972358 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.172372473131405 0.1086322260127 0.0834535172032228 0.0311047425580166 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.087183584971419 0.058737064337866 0.0219929527469851 0.0080953901664177 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0590060207274481 0.0585758235878352 0.010223722173942 0.0103754104800094 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.53997783292132 1.39065425575771 8.78974228176844 3.71438054814544 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.667713494759173 0.521472417053312 1.40485622987332 0.643033957355822 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.38618727118725 0.28132714252391 0.43424823791926 0.202851158696788 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.257622686222887 0.181881844268031 0.184635024986798 0.0886927643579489 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.933142917646158 0.772937213588048 3.07514969986099 1.26502391098292 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.302405804299727 0.200604478534623 0.261412952150335 0.107831582730856 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.159235511369739 0.101791092580006 0.0696018837275451 0.030660263725395 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119294155052924 0.0804816053066235 0.0371520179693079 0.0243112651077363 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.847064192452801 0.70435852005642 2.47235922994747 1.04796088637544 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.282893657607081 0.18196407346946 0.230620155158956 0.0844964682661426 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.144179852748116 0.0942865115137455 0.0614456509839094 0.0211899685019824 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0967014056225336 0.0770222825284611 0.0275505875474528 0.0164503926127965 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00124035536574814 0.000827869936812525 2.87560759074526E-06 1.6725380124475E-06 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00468417811198425 0.00257054723585402 7.97110291954198E-05 1.4663241420477E-05 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.010389454423674 0.00540443426668805 0.000407957458988544 6.26701970519413E-05 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0179181123613191 0.00873732055413325 0.00122032627471133 0.000169229239841914 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.009935385367588 0.00106730277294179 0.000410960309483788 6.35143945992939E-06 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.040200925985135 0.0041926181334923 0.00667158019299347 8.49812019114364E-05 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0848526238176197 0.00921149392399574 0.0295014959729894 0.000329106676692891 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144410851441119 0.0246452149607614 0.0835280727546706 0.00251873215022655 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00596301337521849 0.00537925598000643 0.000108085535820864 0.000144241195814692 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0165395067204879 0.00776807629789327 0.000758979649491436 0.000212949066045463 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0341080925024171 0.0141195894372003 0.0032872054586006 0.000565228560421481 NURBSSource NURBSSource 18 185 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0602018242069949 0.0305582698208582 0.0133451463201432 0.00316522286864389 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0792437177437411 0.0150580001407673 0.0165995832430391 0.000583679229855717 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0331134678237591 0.00723843214207506 0.00298048032531986 0.000127865250013435 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0223463826574662 0.00675368954766177 0.00147850677589923 0.000101622246121834 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0227206763762856 0.00902468993741605 0.00174591446766048 0.000182511868908382 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0566594806192442 0.00993330022764945 0.00928838955600431 0.000297429117173758 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0442084946452661 0.00485223592216485 0.00770383813342172 0.000100592093798268 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0852447531978565 0.00930159826197674 0.0297343978491538 0.000330100795964728 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144455887205798 0.0246769456179863 0.0835927092151796 0.00251598589656221 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0507317017537856 0.00950713229254929 0.00692346049695434 0.00036443300790518 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0220036924812425 0.00833774608656282 0.0013297735448542 0.000240999456408614 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.034880337203412 0.0142308822298626 0.00341848784305056 0.000580201809762869 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0604270565053403 0.0306901547414331 0.0133783754877318 0.00321323771078276 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157623626934991 0.0307554670771621 0.0663131877160088 0.0023755457244755 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0654394649984563 0.0138291351857278 0.011452033053698 0.000470977683933688 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0394235494504282 0.00959230243272076 0.00438446971412613 0.000213491388668963 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0317701742476133 0.0101451299910042 0.00312051233369071 0.000227842170197063 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.110883324728314 0.0200570395578448 0.034550425220014 0.00115312153276993 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0532609690523211 0.00664091175754462 0.0104230489035976 0.000160376852867477 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0866370624481457 0.0094774867688419 0.03043916916179 0.000338218195671198 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144448005338219 0.0247392575265345 0.0836098191921285 0.00251623322302978 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10057417433243 0.0166881758907171 0.0272862481227044 0.000981284181814317 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0339146532448407 0.00971447002487429 0.00310007204211468 0.000317141852391816 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0367377815715492 0.0145536870338382 0.00380356324561941 0.000609786962505665 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0607949879471627 0.0308248644854333 0.0134824536755378 0.00326741692201761 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.306781244718418 0.0697121926060033 0.256348438918877 0.0121552264715082 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130107965181053 0.0277703013702518 0.0450614777819363 0.0018857517116802 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.075281971315266 0.0167624702456089 0.0155983214987851 0.000669644924891219 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0533673139550724 0.0137254264875277 0.00823086030490602 0.000416249205149139 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21728483808723 0.0433635319812707 0.131694105643751 0.00512996211950076 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0777796021109902 0.0112298422260152 0.020305605172688 0.000394185665548721 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0911232355269278 0.0102882009596127 0.0329202438438189 0.00038293940701087 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.145413922708675 0.024932239382208 0.0844893247368535 0.00252738749315108 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.198858859334058 0.0342184865401624 0.107607703337358 0.00367509135290933 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0614624125458558 0.0136729679022712 0.0101898133634386 0.000610515026722297 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0439029015073548 0.0157340540392458 0.005403366582885 0.000715925624441435 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0624398323840651 0.0313217310437226 0.0140336931966853 0.00341592100710147 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.788215875885004 0.338030317884531 1.97971335553676 0.292653807414867 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.372481254625542 0.100844049671376 0.382256142060507 0.0254139340779042 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.219480441090067 0.0513995215179917 0.130884358880334 0.00637897754367917 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.146612393232076 0.0337306880425541 0.0593075843769442 0.00262193946893605 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.577355745934027 0.204778083879843 1.00619710751505 0.123001084285345 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.197447533398873 0.0336004950496409 0.116087729011928 0.00300848592151289 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.126065909315074 0.0173333405823999 0.0566304632237584 0.000919386909176077 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.155059991840699 0.0269493113450872 0.0935464706105364 0.00272284414244754 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.537291340791829 0.161753012462924 0.850315540644743 0.0850454237000296 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.176945496203172 0.0363061863968705 0.0859675563186774 0.00399350074486103 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0909665744043443 0.0249436868677519 0.0227598264148145 0.00176598971128598 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0791428213672936 0.0357195215410395 0.0205646883841888 0.00445333232429999 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19184003269526 0.681250584180365 5.17919886829729 1.09162203352388 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.583509853189222 0.204979324249446 0.995046125550071 0.107939863215264 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.354616514727484 0.0958986816927186 0.347848774197907 0.0231177640599984 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.23918927565345 0.0582913133850867 0.157078880839951 0.00806727512327832 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.878232337965607 0.427729979686518 2.58554223753828 0.506835400521548 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.315854514200874 0.0646478043018888 0.291253242943857 0.0110648985672122 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.174459152314207 0.0269463640906115 0.100597140794626 0.00207913978431039 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.171668680790735 0.0303643566851326 0.110747142309876 0.0031488109446088 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.818804334822337 0.348256729643869 2.19968847307701 0.370962062442123 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.288866967074811 0.0657757433330692 0.234196988417268 0.0127115508180277 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.143808979108158 0.0366525493400921 0.0574632463620194 0.0038479055290932 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.105868851614789 0.0428853977800074 0.034166499600934 0.00620196333255525 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.25517531868041 0.0573865843781303 0.178607568214052 0.00926965949394128 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.105533684072148 0.0245392090681726 0.0308312891529852 0.00174932508001723 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0605347753598828 0.0152094119902931 0.010627311701876 0.000636324111124417 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0439425424981715 0.0126885747892382 0.0059918487697479 0.000378732993473025 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.17513491985078 0.0379658931785262 0.0883523037786855 0.00459791428889894 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0652471528904531 0.0107595391767382 0.0150215643113565 0.000476659170146209 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0890499376314354 0.0100776823373272 0.0316413585075065 0.000432424469100188 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.145054179360434 0.0248082799246128 0.0840156706882839 0.00254523809412078 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.158987425480838 0.031092126564977 0.0702008310377618 0.00333057460018695 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0489740463455036 0.012679920370208 0.0065108755800013 0.000546841619989153 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0407686870306954 0.0148989598735725 0.00470165273633553 0.000617332880152365 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0617986252345206 0.0312406329677496 0.0140406269715615 0.00335073475667857 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.483452366101151 0.141570967450311 0.675157383876665 0.0535113986204894 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.208896325242034 0.0510475130522939 0.121254296800069 0.00731484384841815 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119455516711318 0.0290537458439893 0.0402673450458413 0.0023974155508403 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0806279652948209 0.0205278245641653 0.0192139226158425 0.00109384875447013 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.338216895272588 0.0875493825419788 0.334484140612621 0.0235263441930098 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107105030635346 0.0204915645811997 0.0375418178679827 0.00155512586145173 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0990876505833325 0.0127037224706856 0.0375875153096978 0.00068061283259509 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.147811312705112 0.0252729215030754 0.0864036077832279 0.0026221024098041 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.309964879064917 0.0695931308388633 0.273111807710327 0.015462811184818 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0930387523298083 0.0214881530992979 0.0238003371523656 0.00156029262207376 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0568252185273028 0.0179310223255249 0.00903356000731398 0.00088772235157956 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.067532899829476 0.0327206653237171 0.0161403088069326 0.00370435997953477 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.861167035209614 0.390274818355993 2.45832621681979 0.369750412832579 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.401825022800989 0.118067386196457 0.462872714301778 0.039282105162261 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.235047942827719 0.0604802836669444 0.155312995099761 0.0103086424127242 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.156635349683839 0.0393273270979177 0.0703864037807862 0.00421323116211027 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.618649414588922 0.231932302835475 1.2195453389712 0.157303639841187 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.200468326602712 0.0422871346816594 0.123202411919046 0.00610432273768363 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129656937604006 0.0202974380590519 0.059912721296936 0.0015304734566295 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.157907227380995 0.027217593678253 0.0959230244154643 0.00293914905303278 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.573970840400443 0.185957730128775 1.01410448804709 0.107848121672478 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.182434100531121 0.0421461755509316 0.0931586425837101 0.00571272891211601 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0962497263837867 0.0268429481118142 0.026123190284497 0.00207464645595482 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0844297259552834 0.0377858204330247 0.0238021071167048 0.00492429328179227 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.15348258162578 1.6365700956957 20.5248740945478 5.16810275935306 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.02886087664909 0.529315353414263 3.66977475543301 0.701436737535367 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.637079216107646 0.246222306926698 1.24456999069846 0.16867558576289 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.440583458293663 0.140995548501651 0.566417260387185 0.0565849241138886 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.5461403132064 1.02560184852007 9.9538292279052 2.4498305598262 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.550686982609269 0.184697833168357 0.93664627691314 0.107363481883601 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.296637022605251 0.0637540608981681 0.27893414413658 0.0138351442388662 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.233101779483625 0.0453699224192256 0.19143691217267 0.00702658420491796 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.45632390440251 0.858620548498139 8.62721230925442 1.89110698641303 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.506050467685248 0.16594920092505 0.785741897781039 0.0791667452145573 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.267967369748553 0.0751860742818717 0.211666408201111 0.0169407591116591 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.183752768889335 0.0723224108330971 0.104715011881706 0.0174880728057092 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.44288193889323 2.97156172867163 57.5981712888211 15.6243577880446 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.56795253060144 1.02095692491385 9.70201943167029 2.29654136442146 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.973251021642764 0.490284200941106 3.21067277522456 0.613738132996015 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.682174454362202 0.280372587232899 1.4464881090709 0.215456848851778 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.43718373015194 1.93175180449903 27.933273268023 7.80178577159218 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.869872744419854 0.4072019853186 2.56946354458053 0.485557448054447 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.474020879681148 0.136150336610272 0.70982909488694 0.0635318120635292 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.341825612934034 0.0773036141128126 0.391473451635271 0.019906798082712 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.34170411228157 1.64048243673227 25.7247087445248 6.34699293156388 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.789356844839897 0.343487316274087 2.14052421548804 0.321094428941788 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.43700999241533 0.141302187809606 0.597924112011426 0.0585556820002521 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.292054229782122 0.115595843707499 0.276532199399845 0.0443396302498159 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00214483304058273 0.00171584228540659 2.80257284231047E-06 1.29617891191251E-05 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00550596405579308 0.00462926514979686 2.55065994890764E-05 9.75456133894147E-05 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0111565698993468 0.00935373568971723 0.000114990204003016 0.000401593367599926 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0179339339203182 0.0154006391217311 0.000282029767499927 0.000976496358773825 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00572143059403239 0.00472088053173372 4.43695462629885E-05 9.13696964648938E-05 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0192168015077724 0.0171003366953431 0.000694992314590816 0.00119417399650758 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0403629433625138 0.0357733095427924 0.00327371214131313 0.00521114274390477 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0652759441717699 0.059152419197357 0.00875684842451953 0.0132067232864182 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00360104116677761 0.00198179301320208 1.60665246858594E-05 1.50694025201891E-05 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0102845849215022 0.00694702122508543 9.49303941453889E-05 0.00019441801695399 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0226040886684738 0.015388006504216 0.00042863382641565 0.00093818936376437 NURBSSource NURBSSource 18 186 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393189342203504 0.0276977415205755 0.00126227570959244 0.00314595045670536 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0678410008898287 0.0242270309639479 0.0115079399045945 0.001701415045431 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0281346511990274 0.0109965052161986 0.00176927566150336 0.000447108372280992 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0185721511117657 0.0103300099189672 0.000587233917093789 0.000497395613104603 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.01951897600373 0.015704735457291 0.000457085978969953 0.00102137826732051 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0418398064572995 0.0119885254603197 0.00421394722846871 0.000493346799805008 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0220649713930055 0.0172496579373467 0.000987736424384222 0.00122744024171453 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0406169181295794 0.0358152832778705 0.00333694159524604 0.00522518021812385 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0653011572112244 0.0592186571491558 0.00876726727639281 0.0132329078609045 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.036635945657753 0.0119166423735092 0.00325232306036517 0.000413105136172069 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0144381813747503 0.00731437420295706 0.000299229578784058 0.000222380610946169 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0228989367207924 0.0153715060784128 0.000480825173875648 0.00094025095356448 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393678764659333 0.0276727065930779 0.00129310478456623 0.00314638460480992 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.135535475814227 0.0485282450302695 0.0468224857052403 0.00652587162016744 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0556846367680547 0.0210383670952355 0.00739497238955429 0.00142576717620939 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.032868117750178 0.0138734479304556 0.00220905827597819 0.00082149655469256 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0256926447909861 0.0164933259404471 0.00104535151881374 0.00114148665038293 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0829245926241518 0.0230838130991272 0.0172063426354177 0.00161365404218091 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0299349900257504 0.0175748908827009 0.00192742605500066 0.00130764991129856 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0415678754134712 0.0358884684568491 0.00353593489730931 0.00525157412281772 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0654605200452491 0.0592840047769598 0.0088285929130617 0.0132623614811409 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0729299602781392 0.0236804543593466 0.0133818647005919 0.00156344095091187 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0231722120104421 0.00910252039937805 0.00100249788543132 0.000330967285456727 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0244621706055514 0.0154681228904927 0.00063524326628055 0.000958177371077889 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.039570390134057 0.0276788688267036 0.00136945419094969 0.00315335549752222 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.269735651120617 0.0985188436151673 0.189693371241771 0.0257101721160053 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.111141296707166 0.0417396168648052 0.0305507219947385 0.00511798134483527 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0632670437633778 0.0240671765231392 0.00914940711597752 0.00207838660075715 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0438306513997934 0.0205580698203957 0.00373254094379624 0.00168411835122268 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.165277781088664 0.0459512918207838 0.0699627488371165 0.00589046680717944 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.050587300968233 0.0199560695044976 0.00589000331124737 0.00169541420085565 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0452018067704523 0.0360612296136094 0.00433960718819253 0.00533213206132621 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0663146667786842 0.059411455865134 0.00911765048207806 0.0133309478379493 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.145523989460473 0.0474550032245491 0.0545957824757536 0.00608169056926966 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0432730810469156 0.0150810527596026 0.00413439807639235 0.000785059685507422 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0304521371824936 0.0159781360991406 0.0012949976623727 0.00104093176930365 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0410945199583245 0.0277691615295043 0.00166282840403532 0.00318549085049043 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.772052449291802 0.333510312375115 1.68617201819741 0.276593266654963 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.330020962334266 0.12788505164712 0.281532203735217 0.0434074101609312 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.187494637810134 0.0693137036902792 0.0870055098315327 0.0140514955882137 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.123861454361475 0.0469113232634022 0.0356342218190053 0.0070283360609679 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.485509983745237 0.146255222735095 0.624649000843696 0.0553548032001258 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.14238338353281 0.0411780306674378 0.0503681229502023 0.00588155266892329 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0773185791033165 0.0376875857707916 0.0137722475022961 0.0060288246918527 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0752594557015792 0.0596354472609993 0.0123578402045462 0.0135511948435968 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.427059355332316 0.148657490239552 0.489930240090461 0.0570409383823543 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.125587149365316 0.0425864084221815 0.0394521267449947 0.00524829613109485 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0681762102661858 0.0239045049625345 0.00969152456261542 0.00213081022521196 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568165621653809 0.0289875388103292 0.00495683035683618 0.00348637821314937 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.21872350729481 0.626412549956966 4.58815214587829 0.929415853332823 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.541074399751757 0.222327709738888 0.783404527855422 0.127395043116961 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.310703743014994 0.117005006169367 0.245540997137294 0.0376744797304946 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.205015286333914 0.0763427389113014 0.101925405848051 0.0171483604857851 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.786375167034232 0.269092357792923 1.70043421984409 0.185655116827028 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236249758884475 0.0670559570554707 0.14200967395525 0.0139756990053243 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118393561601355 0.0441262101003828 0.0336832218820695 0.00803223864038118 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0931382081123067 0.0610186400230128 0.0196525878548417 0.0143645075612926 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.693732881046769 0.26593974361474 1.34715589087193 0.179227629927398 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.20812365671327 0.0710484447769146 0.112389846447464 0.0138992960897967 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.109716876290419 0.0364002707915491 0.0282303661266488 0.00439944511883827 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0804910179636686 0.0331208696200005 0.0123981120013622 0.00436718213456163 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.215218916989847 0.0786523817125168 0.1313378340644 0.017759616064838 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0893225932633617 0.0331523145030266 0.0211513288618067 0.00355964097660696 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0515229335063927 0.0198008703337017 0.0063229556975703 0.00155037942208363 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0369087311676705 0.0186142311192375 0.0026355886200859 0.00143815338751822 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134671314703242 0.0361858414449308 0.0491069341957251 0.00400251767138395 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0432196440909106 0.0189662627442647 0.00429152170991711 0.00154834450972095 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0440649385208639 0.0361581895333361 0.00408638967365953 0.00534192100114499 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0663609284756049 0.0592787629802502 0.00915017147025669 0.0133071328290051 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119497111682301 0.0373249223889136 0.0383301529398659 0.00413049275962825 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0368142974476956 0.0125650398046034 0.00296813066383765 0.000586472792901737 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0282449319598758 0.0159163253310962 0.00101111601129428 0.00101579179210394 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0400224644680978 0.0277619015870563 0.0015022018502642 0.00315172656143924 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.42230621627356 0.163358722390674 0.522031398110215 0.0742454703985956 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177132255173518 0.0660945927832268 0.0856063779878389 0.0131524504981688 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.100946224439423 0.0369077398400057 0.026056037028022 0.00467141908536751 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0675911284179274 0.026947657909903 0.0104711167223229 0.00278730006327583 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.265668433184441 0.0723568953897531 0.193499119282914 0.0148613639282548 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0791157047057202 0.0260844414221842 0.0153957444113239 0.00269904670272584 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0548125809322234 0.0364219503059553 0.00660876725792651 0.00551038954346017 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0691537834794825 0.059337847855797 0.0101089777004434 0.0134003343045504 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.236393025480338 0.0746616458513373 0.152591821308976 0.015745412264089 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0703286056868991 0.0230391410116951 0.0120683764758807 0.00172752425780014 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0417045108275346 0.0178492373466247 0.00301711878816799 0.00126482020267973 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0442030922237387 0.0278489140370395 0.00224749250312036 0.00315220407207183 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.804906914629866 0.365137950786354 2.04188696469955 0.364882808811981 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.351005998878665 0.135233669413938 0.348114421715597 0.0527263458671584 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.200534286393895 0.0731985583122858 0.107813102224322 0.0166924868755149 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.131932086697334 0.0488300736103887 0.0438676587361857 0.00806137901841636 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.522489255483252 0.153405033601497 0.768410902526962 0.0639672965186879 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.154042913245415 0.0456627674448336 0.0613588685340913 0.00713856986029154 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0852545792557361 0.0391487644852347 0.0170913930805094 0.00649426131801481 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0799142660349742 0.0596249267508873 0.0141380049640299 0.0137972793982016 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.465258478234392 0.157438939817023 0.610433533533024 0.0668609801140458 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138983246532762 0.0454840752381265 0.0505197541285963 0.00613557195157893 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0749388050183197 0.0254529727968071 0.0121191247126643 0.00238871791648116 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0601565071388919 0.0296254136215632 0.00565568056206847 0.00352791385085944 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.10340602864978 1.42825599197988 17.5007475202231 4.79570438827959 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.985584575850119 0.47058568175795 3.06376974980775 0.607883751678959 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.58447974941427 0.233534845272553 0.9790364933035 0.156449762124934 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.388324168579798 0.145436439511533 0.411238670176424 0.0624008260597833 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.38800843479242 0.650567633272141 6.30986270524537 1.07669339727518 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.457489945174594 0.137257838435303 0.569251370792647 0.0550666717969505 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.230496187870415 0.0708809348952343 0.138365446244961 0.0184847701155718 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.156172915397619 0.0689036495673756 0.0606299964918016 0.0188618108174243 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.25308704551105 0.621091365977883 5.14545856172403 0.974236813446781 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.4116054317182 0.142069571538758 0.477215294477418 0.0538057028996106 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.218272510971328 0.0685581346610823 0.122902186217138 0.0140343606631057 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.150021157956283 0.0498950519432018 0.0510367500847143 0.00851782876516601 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.33386791013722 2.5942976132751 48.4571088630831 14.5063127836911 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.54152887085232 0.875775244046619 8.23126607881354 1.93662598903531 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.933932960817678 0.420264368429048 2.63413206629866 0.486293441242319 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.631235347246375 0.250854299878305 1.1223603427172 0.179125815583349 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.15211707068416 1.30548667397583 17.2908253155719 4.04882229935627 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.7564853610619 0.255123954724906 1.62105010023993 0.185223884928099 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.38571961419344 0.113756713382826 0.402229991756591 0.0431826949156487 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.248736037783386 0.090542920914878 0.163124385588178 0.0301040906766491 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.9424857211524 1.19789305748202 14.0814592457158 3.39128077154454 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.669380278981685 0.259026291528439 1.32600165805724 0.17072541222448 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.364728478850294 0.11767696778776 0.361797777436051 0.0381884217279164 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.247522431720424 0.0792266215974622 0.154386920117328 0.0190075428147991 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000800521840216896 0.00280714448660555 6.85340639183933E-07 4.3637149582282E-05 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00218100881685043 0.00727095253779574 6.47307239545527E-06 0.000306388328560861 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0043100683521334 0.0143210233687335 2.55874931198799E-05 0.00118964126536828 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00724475788112098 0.0244937765944177 7.60248123664624E-05 0.00314291596629004 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00158457297922302 0.0115894704413604 9.01870955746306E-06 0.000847010207346687 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0066500252957232 0.044883436560956 0.000166232339215751 0.012587394573541 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.014042294522604 0.0884198683775121 0.000767100848540473 0.0487024998382335 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0239475680734428 0.134997646137088 0.00228152632370446 0.108843013761211 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000693906803387242 0.00296447247717749 3.17964261136161E-07 2.89879786065475E-05 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00560754261089759 0.0138645786127368 1.13772612174349E-05 0.000398033858183439 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.01018032081249 0.0264609197178083 2.8008736278793E-05 0.00131371276058982 NURBSSource NURBSSource 18 187 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0148249056579535 0.0382186494769863 5.42149324101376E-05 0.00290445732489891 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0174139012804043 0.0384968642255973 0.000768507101587934 0.0041438277198663 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00741852159450831 0.0180042893146816 0.000117656997953567 0.00108518971537868 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00580042996986325 0.0177464842655766 5.52099881137003E-05 0.00146242612151628 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00751321109011058 0.025361689849417 8.98802123404283E-05 0.00322807726277127 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0101960366461718 0.0275412513708887 0.000289309215179237 0.00263834670753505 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00713821802371575 0.0464640571834846 0.0001906356532407 0.0128425654702081 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0141367452455241 0.0885921687132136 0.000776881311750957 0.0486581241386033 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0240176273283005 0.134983907865038 0.00229166705477819 0.108752420761295 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00909888574967237 0.0232734091190909 0.000209884298276405 0.00136096356810624 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00594463752225877 0.0159934298000426 2.26438925031675E-05 0.000496497188001889 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0101811499095924 0.026680564498493 3.05538921298602E-05 0.00133511887865047 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0147992098770906 0.0382453946515493 5.48453981544241E-05 0.00291687812646013 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0348733870128479 0.0769370876215321 0.00315154465617035 0.0161040197248578 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0144782297646539 0.0329921218300564 0.00049066038877927 0.00324153910997405 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00899497625680881 0.0242557835331763 0.000154049107538086 0.00222873740951544 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00877660287873448 0.0281836932732515 0.000127867401845656 0.00359172147678704 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0202509834637456 0.0481917393935866 0.00110991150734824 0.00720652419051893 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0085137013196775 0.0496168282542038 0.000261520794256558 0.0135431258997115 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0143097470895416 0.089144034994863 0.000797783582631505 0.0487914157163197 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0241077620704632 0.135026727412642 0.00230781353709783 0.10871349648343 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0181564593889024 0.0464136730163423 0.000862536610597401 0.00545985338117461 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00722220294767829 0.0206314852229365 5.9178654575144E-05 0.000800665141725858 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0102067442029769 0.0274017015063951 3.87375228851969E-05 0.00140103644113712 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0147768762262942 0.0384111337414219 5.76251611797723E-05 0.00294785686302645 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0699898382541544 0.153660842225034 0.0129742769286095 0.0630611561422677 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0288456600731639 0.0645725403615671 0.00205310877972137 0.0116182206906443 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.016498512739948 0.0394422571554858 0.000594668650896402 0.00502219705389736 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0125754328196389 0.0359877365489441 0.000291079516467051 0.00492535591438765 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0404211377728894 0.0930514096643807 0.00438602521406963 0.0247801893365527 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0127539639502673 0.0574259122566272 0.000536633257657471 0.0157498178458707 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0150427617568714 0.091042195953574 0.000880907365736263 0.049473603623889 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0243692745695274 0.135391014608929 0.00235998727842237 0.108847698441299 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0363248984675067 0.0927435182306556 0.00352182483459269 0.0219023419743785 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0114236603248135 0.0320719116834396 0.000227259094773331 0.00207914126292977 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0107495142822485 0.0301315720034016 7.23734661505326E-05 0.00167210593942053 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0147410147878911 0.0391635004978964 6.96292205280855E-05 0.00306636694546788 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.221540030029583 0.448577541119374 0.143676310436767 0.506882592144234 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0868581819010317 0.19204853445214 0.0196134653852831 0.0979981274402294 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0485574049990847 0.109651209796103 0.0057790315237474 0.0335135231413843 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0320235353672839 0.076203608057148 0.00230845818850572 0.0176426858486673 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122016482803645 0.275580994605487 0.0406709036449018 0.203819567640804 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0338316167057212 0.0974513629510112 0.00331420841913914 0.0340967414351996 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0221768764459159 0.104059296963851 0.00177948785463179 0.0560650077628354 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0265119933188241 0.139510115574503 0.00284304711397606 0.11168082806805 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.110149554398708 0.277143842257752 0.0335249052943178 0.194100662557803 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0316521096014164 0.0839980314807694 0.00234977045237177 0.0166576035237782 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0175931415935689 0.049601181527069 0.000487899889347958 0.00482616103939987 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0161725625437266 0.0469023342129091 0.000206592507256189 0.00433986948173221 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.397494367613117 0.719738700395679 0.504469010239605 1.24705534892083 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147186309718447 0.317519559551414 0.0584591580283143 0.26177698007924 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0811281542732981 0.181778160026129 0.0166630534124055 0.0892750529298202 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0528533381096886 0.122645852977374 0.0066577944376879 0.0426902110732647 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.207886938742594 0.453536318069549 0.12253457032153 0.540221752727453 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0560273803700772 0.145561531661836 0.008874099714624 0.0680302442530372 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0327282101332917 0.121082298065724 0.00357939743363559 0.0673371674612114 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0311446889937634 0.146654496552922 0.003868952464632 0.117381641117987 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.189339518633825 0.454865325181342 0.104082175507848 0.512780699719028 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0526686151376319 0.13860429737845 0.00692866026543262 0.0470760899231759 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0271989560063581 0.0733665457305106 0.00145613327797043 0.011663503721098 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0199919183959119 0.0593127809721415 0.000510196640495439 0.00705666382064673 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0580877171624673 0.130167755512558 0.00940870059563101 0.0483983268660737 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0239530521481213 0.0553880437947013 0.0014863179123233 0.00929396825501762 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0140180429800182 0.0347037985907245 0.000439031895991741 0.00422859932695629 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0113892720391737 0.0334295042152574 0.000233470579567071 0.00454338597202207 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0321093769956975 0.0788514183864337 0.00301545699995441 0.0193830522588457 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0111824504082868 0.0540993597660436 0.000438703451399351 0.0149576056456962 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0148305662101889 0.0902722246049229 0.000856348042836881 0.049154213837927 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.024135512011055 0.135346860147232 0.00232369087288728 0.108709879448034 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0295564996001391 0.0779322615914872 0.00247362777846705 0.0165906210415324 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0101755950757827 0.0290755347332055 0.000169345910865257 0.00175446616052533 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0106960275024425 0.0299444137853818 6.19430270614956E-05 0.00164704931272619 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0148697656155202 0.0391040852682902 6.83498765059771E-05 0.00306067608353983 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.118098896771052 0.258403726903301 0.0402748875468992 0.186281901847045 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0479259595395281 0.110020824670601 0.00617751241913465 0.0352499627363541 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0271316404445415 0.0635816478210837 0.00182021798711797 0.0127320349925822 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0188597479150056 0.0491415317108455 0.000759800493536184 0.00840813087237499 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0643481835419111 0.156208204295798 0.0121759022607558 0.0718508395335287 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0194517478173243 0.0688389646504016 0.00121679744129626 0.0206762098354088 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.016920438060934 0.0943446873696403 0.00110444519132032 0.0510302038614446 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0246801681773591 0.136514061916621 0.00244673501624882 0.109334598965579 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0592694127062888 0.155554782614874 0.0101496597131603 0.0659685959084756 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0183215929350304 0.0503130626305403 0.000724727001345966 0.00595052691430212 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0129546033672978 0.037557600715605 0.000171785437565892 0.00259537917750051 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0152572046240638 0.0419847765227485 0.000108632315320289 0.00346719158844403 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.252865395437176 0.500191780864137 0.205874011741093 0.657508981821368 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0966158489148016 0.218996182927465 0.0259707797545981 0.135970647920528 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0540627334129133 0.12413812092394 0.00764761203442516 0.0456932333789743 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0356391464754289 0.0860340882416743 0.00306293300268724 0.0231463561617951 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.131319012380593 0.309770856875357 0.0527018223225924 0.26923646201339 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0373094339259682 0.105853153892259 0.00422983388947396 0.0414769894527296 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0237128687682644 0.105218185673292 0.00207380439501369 0.0577738331661819 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.027210951692736 0.141155597478958 0.00297735983488756 0.112810120227021 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.120944060484623 0.308624607296157 0.0441640941580952 0.254554328877064 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0358254497473412 0.0955736849931636 0.00316000105013742 0.0232576230927394 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0200450180588812 0.0558641826384187 0.000672534607898053 0.0064354224853288 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0175668310299432 0.0512766346956082 0.000273817204435143 0.00506522959428404 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.918463312165887 1.34698863267837 3.30203432800125 4.12445503446343 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.319681991510776 0.624887283448373 0.336981531455887 1.0184955173885 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.166970710631553 0.363956282786948 0.0803400172076954 0.368264582330926 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106441147244836 0.243853605892723 0.0303056234260863 0.171686269947159 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.45671229726916 0.870170278763269 0.784779252257389 1.89569994211612 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113082629771399 0.283378024005746 0.0387359011164818 0.247116900729502 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0619375576541937 0.1754327535939 0.0126849614649209 0.12499496854739 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0494188158330472 0.173125899887189 0.00911910788118764 0.147726777303482 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.42685507982132 0.859744565103303 0.685201449067413 1.77178889838435 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10888795380783 0.281313675591526 0.0325544753945595 0.210701897974211 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.054385422716569 0.142898623938083 0.00699421096115239 0.0503415051090191 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.035587120202307 0.101650452824196 0.0023825037535404 0.0227928063421185 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.67662535912359 2.1229621182538 11.5379644266562 9.4698359757555 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.575282551698529 0.990093131693004 1.18893558482251 2.43407933086721 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.292874302626442 0.586710222912172 0.271338164838513 0.915744573448975 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.181656362789326 0.396515605019955 0.0943245412568887 0.439060146595061 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.874441697768002 1.37015977630761 3.14324005704129 4.32927445371836 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.201305049190405 0.467026865501295 0.134549517238766 0.62594998358603 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.106886019494328 0.268813704717049 0.038993118364374 0.256158799940497 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0800078330964004 0.223235462987521 0.0236576975899192 0.219602123165241 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.812270118811981 1.33759831364139 2.68951133090944 3.97406602373619 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.190265320811596 0.462262050370094 0.1085364200454 0.557289103104092 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0904377418985293 0.235660947727964 0.0207943101028448 0.142190315930137 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568162829596579 0.159466017809778 0.00719562143989089 0.0603871239928542 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000534859992062389 0.00313661397871718 1.13223661271368E-06 6.05713964812131E-05 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000927696534416048 0.00474698294240367 2.442435114146E-06 0.000118303510304937 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0020165120417945 0.00941667125395818 1.22735053260656E-05 0.000464397454526133 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00340111353693806 0.0158368787033757 3.68053161242688E-05 0.00125657544274404 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000545092326977277 0.0104710540483947 7.4790200943092E-07 0.00056931349267039 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00214998093471564 0.0415369079609067 1.35304892104865E-05 0.00877359224594186 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00456445876795366 0.085003750042814 6.28742893871614E-05 0.0363685894225625 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00750512841878047 0.129478186510761 0.000184750404245806 0.0845927273067042 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00103474167121869 0.00380613582821229 1.05780433991707E-06 4.05593822481656E-05 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00253232196696062 0.0134624558876691 1.24119641557544E-05 0.000327596817992074 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00494107813279949 0.0288609173500943 5.32982504233108E-05 0.00141878060959407 NURBSSource NURBSSource 18 188 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00757475208539979 0.0466250306511147 0.000129268399487995 0.00360533482832517 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0219835500911129 0.0411225600458811 0.00139984417262971 0.00506914635448736 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00896235505218193 0.0183236854609356 0.000236846519539045 0.00113390676622041 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.005361069624484 0.0141983213471716 8.82267543309059E-05 0.000870656841707976 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00469500557528886 0.0175603750595945 7.17797173793435E-05 0.00146593559476872 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0113406253676679 0.0297373753477359 0.000376448605128262 0.00326329650967248 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00358874526489672 0.0428244903059029 3.9234557190603E-05 0.00927945720241926 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00469335714798521 0.0852481101545735 6.84341996622716E-05 0.0365657066212729 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00752519386110689 0.129375163866483 0.000187617518792933 0.0844914791764853 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0100340941667438 0.0282957164090402 0.000270683525424348 0.00240136708719327 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00395039003662965 0.0158555998648602 3.70273143507558E-05 0.000499887968044037 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00522682694183836 0.0290631682346539 6.16501259880357E-05 0.00147976009173746 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00769310973122292 0.0466081514995411 0.000135260079665108 0.00365322971102921 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0439721087917986 0.0818129189519993 0.00570220859494537 0.0194326050183246 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.017841451379925 0.0352600168427338 0.000937487226407079 0.00387268617713415 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0100451835002011 0.0226411103472096 0.000305871949207989 0.00189407063984355 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00731504513515386 0.0213843920126618 0.000168827096270249 0.00198039687451514 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0226858620853534 0.0562396512316902 0.00151688221886775 0.0104947950559978 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00615724794500616 0.0453631504653895 0.000116353032698689 0.0103049105827912 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00522775968294328 0.0859505721890904 8.70511740619279E-05 0.0371371839390776 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00763021713008251 0.129825731468029 0.00019552825055878 0.0850763124128289 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0199702723510062 0.0560441374676386 0.00111604232026262 0.00937806582873566 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00648288689119171 0.0213988995603062 0.000110496227520056 0.00103306662800865 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00588613490702982 0.0300036129842968 8.20512754982851E-05 0.00162652699819469 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00791812167529543 0.0467528570716964 0.000145620822612882 0.00373559795364719 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0881023246480801 0.163158707531467 0.0234788506867476 0.0755764275530445 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0356290360583585 0.0695403566956273 0.00376173097275383 0.014395313151349 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0197621031634219 0.0412495814366732 0.00117085030068672 0.00560121605398347 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0131758015966258 0.0318678601003867 0.000538901721599857 0.00379901059178349 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0454431728174129 0.110654801804463 0.00617099570976332 0.0380644406314652 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0116906112699131 0.0542014179245517 0.000423376271903285 0.013930172297617 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00718447919460082 0.0875752445224339 0.000165573333034165 0.0386155522391635 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00818197998312528 0.130886874682948 0.000229809426315515 0.0864667710658771 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0399635494658168 0.111711830470421 0.00458494241840778 0.0370595345490157 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0120737173758121 0.0363538783236473 0.000409899573423545 0.00333750482649445 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00804741524930394 0.0337713675870087 0.000162944258747748 0.00220064270902891 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00858971009370682 0.0476585115165421 0.000179574525749183 0.0040277180741986 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.268132033602618 0.48454002349852 0.234573318443126 0.638480963916694 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.107064575515446 0.206759434307321 0.0348793785200306 0.122332339352874 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0590408312354189 0.118855868329765 0.0104987227861948 0.0421754576541556 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0382206191113118 0.0809499119197585 0.00444028702525263 0.0207210617331401 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.137773842605058 0.328250444985996 0.0596704180993251 0.316671411938016 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0348351728325823 0.109860266368609 0.00379507287647644 0.0470025943767038 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0176095529925837 0.101907507654349 0.00101188013861634 0.0509307814549745 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0133917796100291 0.136264844018468 0.00061983941498386 0.094486273563155 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.121414725419388 0.333183262480339 0.0443914061460289 0.324831162525391 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0352572247053825 0.101962926137085 0.00370828405915412 0.0292445161231555 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0189956679451119 0.059921902361381 0.00102156694705661 0.0086219267272035 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0138638627291252 0.0585439646798927 0.000520044692944617 0.00700408707012089 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.462605700940688 0.789158950808581 0.748647421450064 1.61880599933007 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.179131599209978 0.343342197169692 0.0999733257967258 0.33149640264575 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0984825477802212 0.196807551699122 0.0295471935550455 0.11283134047713 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0635868228442616 0.131869538931816 0.0122997660529121 0.0527522423804272 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.235645042674373 0.540017152357408 0.183554786692172 0.830355833435167 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0584458092853647 0.174503899958512 0.0108640560504707 0.108060866158761 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0291227786477951 0.126598726935733 0.00278475606798108 0.073622453668966 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0202940106298203 0.145298931146058 0.00142315005077641 0.107552241281755 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.20883465509131 0.549086061387415 0.137491234418847 0.862536860339918 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0588639691900977 0.168047126960708 0.0105612346121728 0.0810456461520118 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0307804264873757 0.0922818842791335 0.00277482376496868 0.0221250655376749 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.02036410690894 0.0754723522890807 0.00119250458714933 0.0130496124031661 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0690997138034633 0.134660021208229 0.0147780422317667 0.0538567727005532 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0278994402850325 0.0563498886653532 0.00238771578855252 0.00964339551786447 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0155596568081657 0.0331032132071954 0.000747760941958387 0.00374495174840481 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.010630545561136 0.026103006571425 0.000354567969915777 0.00269392847338252 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0348873498999423 0.0909132026363991 0.0037611655623843 0.0261948095673295 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00947209279696368 0.0476620108435377 0.000274110183313907 0.0107893659145958 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00624959080912875 0.0850815581304992 0.000127422341322831 0.0361173291508118 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00774714883795024 0.128604218708721 0.000208286964826723 0.0831176559940117 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0315413032163534 0.0916171380921339 0.00292502702818782 0.0260943083223947 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00966028982413837 0.0322515304622897 0.000253127203493569 0.00254538690105756 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00686880330681528 0.0327862031094423 0.000114573634880702 0.00212517088077678 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00817038257670962 0.0479966869238882 0.000151696702533557 0.00406791879940153 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.138845135989891 0.268613829172335 0.06241476363134 0.208454603589521 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0557791588765469 0.112274440131861 0.00965914307938001 0.0371309038874172 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0308798661075376 0.064386952107975 0.00295287839729464 0.0129699827355924 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0203230913263784 0.0444194518613886 0.00129034674534881 0.00684514618705008 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0699310238228026 0.180680033137094 0.0154586928746915 0.099636316931787 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0186418257548495 0.0668218268097127 0.00105615743129407 0.0184427269510403 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0101405780937035 0.0866933756050842 0.000331352524098335 0.0375128928955619 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00936353180022705 0.128478122852114 0.000304635519390077 0.0829449990080653 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0633805783938677 0.182662693388829 0.0122057683405664 0.102516380787881 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.018803074537647 0.0589378844245389 0.00100646882670178 0.00926944470933582 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0108859149552926 0.0421812898797493 0.000312999789166562 0.00396168234036264 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00958411649294102 0.0510342790689722 0.000220335172489217 0.00504506340613586 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.284450053104611 0.530518088283575 0.292094449263158 0.767543406339768 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.11166048201217 0.224083985836363 0.0396842532858346 0.14386063500537 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0615570663809759 0.127915092134445 0.0118622249888009 0.0485650262659524 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.040071139259611 0.0847034116987642 0.00502156927265821 0.0227121707047474 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.141928340220943 0.359410761541884 0.0673469990870714 0.377861076548694 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0372872309892227 0.116366588734774 0.00425236789454413 0.0478776005985103 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0190223609203304 0.0988060739638454 0.00116021183772281 0.0463916633973664 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0142080148742837 0.129124671509612 0.00070081278819563 0.0846561286027055 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.130376368021728 0.3614477911541 0.0562343014340144 0.385602787241105 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0374496813350237 0.114136271949759 0.00410135543191179 0.036390240340604 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0198377331715827 0.0683550347226085 0.00112497110377903 0.0114662805187697 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0141257688768071 0.0627145615923926 0.000511799079996138 0.00871762033372679 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.928668888179576 1.44829552207576 3.52930562076446 5.02918066654414 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.335027598282656 0.645860275546302 0.383949407192195 1.07776317183821 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.181115791411209 0.371420976312764 0.105340246027624 0.369151086516075 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.116891818271499 0.245227613898339 0.0428505438365181 0.165529702473885 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.465235457942667 1.00575997380023 0.872831743433825 2.62409585497179 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113868675467679 0.323841097926108 0.0428845972293288 0.316949247614516 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0571558866940267 0.195491258031595 0.0110577487895377 0.145084263032221 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.03902393557552 0.169703790521055 0.0055140302722185 0.134598763956105 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.442159043251376 0.994965165704937 0.825399373028932 2.53024878548787 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.112057887108778 0.328824671437507 0.0385883552435439 0.29047286263048 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0574484195854344 0.182685471384173 0.0100038078523666 0.0866431371625225 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0364203895543778 0.134051152406384 0.00373350345063155 0.0456807507145893 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.68730301835115 2.28227268947146 12.3255059531124 11.9436306476747 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.583853037173089 1.04223014624132 1.24985126662042 2.69079172652494 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.305697318087078 0.611297398436533 0.310970990481074 0.97468830643637 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.194946464228639 0.406320615268132 0.120762180603885 0.445290407339467 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.883004665333892 1.59193541153901 3.52501133252197 6.39193505882243 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.203111222851985 0.534549869130731 0.158860461340651 0.839370209758345 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102195171853437 0.314553079854583 0.0411950141649379 0.339338852677407 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0690134979239065 0.245975028494215 0.0197704560723299 0.250753107828109 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.842778057259859 1.5586260996553 3.30743161777331 5.90839127725093 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193943752215227 0.542112235895758 0.125912288951274 0.767813081111558 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0977985083852362 0.301160303534592 0.0299485230599209 0.238897844508256 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0606900796865171 0.214722420410886 0.0107929585675438 0.122642069946016 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000687291646122495 0.00308431862666068 9.67630177094257E-07 5.10697481372829E-06 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0021510713398432 0.009909222757038 6.66469056031446E-06 5.12687513670576E-05 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00471189755101435 0.0201806220177121 2.91334887737677E-05 0.000208058163852349 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0104731871173493 0.0316140818682335 0.000172326979032223 0.000857782471575818 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00626783329132868 0.00343933833031474 2.32849556019679E-05 5.70200878809368E-05 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0244415397576046 0.0153083769172108 0.000336516558272043 0.00114745892010726 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0511763794607171 0.0323424712848535 0.00145136324421469 0.00509428262969551 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0857747122325793 0.0731246633482849 0.00460951245918278 0.0266550234894298 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00709764368426095 0.0064717992366166 0.000207185681763647 2.69616413339571E-05 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00867883492684297 0.0273261021795563 0.000285506069492603 0.000479638722722415 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.015784881317419 0.05993333257799 0.000901737017471288 0.00231695515072808 NURBSSource NURBSSource 18 189 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0304539813187117 0.105157999842916 0.00398898095948462 0.00874229924144399 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0495690256668124 0.0214072736189086 0.00617507481989436 0.00103157877272676 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0214526876796378 0.0128135722932885 0.00107804989400032 0.000174647462027302 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.013560369888965 0.0208187426491606 0.000340688603909544 0.000241974489309362 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0145688194165771 0.0318534413769152 0.0002960496291525 0.000885314028034932 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0353846379064962 0.0114914774651866 0.0027204713327664 0.000425044676921469 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0263948410861187 0.0158259548165077 0.000486536579489396 0.00120221327757679 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0514518246039157 0.0324137249788115 0.00147997661276531 0.00511411820060378 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0857952526108327 0.0731585691927974 0.00461491564620111 0.0266827042108241 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0302133594280399 0.012390459841122 0.00273915421643014 0.000256022464805298 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0120439592455755 0.027638295491394 0.0005183251643395 0.000485647122126764 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0163791881345228 0.0599054144906825 0.000963592739007637 0.00230363722665444 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0305955924954193 0.10515900550176 0.00403121809976686 0.00872438144630445 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0989480625935681 0.0428175492647425 0.0249541878262823 0.00428350079800053 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0426682521830461 0.0195298914230997 0.0044267316637815 0.000604346252116984 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0250613137216701 0.0222493507901425 0.00136385910140375 0.000351489606666762 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0208388591999678 0.0324443714566834 0.000692772648892892 0.000949349544956974 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0700457938791043 0.0222201936522492 0.0115326061862615 0.00144629853499409 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0309119256062148 0.0171341336158252 0.000965501197671198 0.00133680625736354 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0521157166411736 0.03255450014946 0.00157688766948292 0.00515035587123787 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0859042049236894 0.0732145836984294 0.00464537335292173 0.0267202216399595 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0595422462774521 0.0222671387363706 0.00989189812829649 0.00103049463282058 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0193256081179556 0.0283025066915279 0.00120193058633439 0.000522366154824797 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0179249707471372 0.0599932901170112 0.00113928622786115 0.00229789042991252 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0310503527467143 0.105199672303173 0.0041319390304219 0.00871067333894401 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.196160765096129 0.087163020679142 0.100622649348379 0.0173757481753002 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0851137071357555 0.0357011392407018 0.0180529944375046 0.00254136451262033 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0492126496889176 0.0270607827778421 0.00567386110975824 0.000821524909727445 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0350914361468776 0.0343317704009796 0.00239561691108379 0.00118600680255167 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.139080141524089 0.0447745994733737 0.0477043437586158 0.00549981734896041 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.045075080345228 0.020800781553576 0.00312074912185277 0.0017808016161596 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0544259771639443 0.0331820002802931 0.0019813307205562 0.00528960202400834 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0862730842753475 0.0733861573961167 0.00477993595861601 0.0268230550336018 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.118266242678948 0.0438097978719414 0.0378891969908379 0.00431531466426162 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0359020713498133 0.0301152806175535 0.00379406969143282 0.000689606086363192 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0233105658433055 0.0604028983793581 0.00183657350303083 0.00230900082819855 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0326128999984906 0.105394097118503 0.00448246844434543 0.00869370470681674 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.56536681275963 0.287776734476971 0.906156209901217 0.170410635719667 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.252207013329727 0.10765969646478 0.165147345130044 0.025507994618576 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.146255398929738 0.0611073447044491 0.0533474516431203 0.00697790189959296 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0974861011725651 0.0491943960401221 0.0221407711729956 0.00376213021735857 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.401735885001724 0.14886211961457 0.430339385811033 0.0555998641161326 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.117620523438493 0.0413791867281985 0.030564114568754 0.00568897901291661 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0737283602831957 0.0391105283342035 0.00677602178415244 0.00663116572075595 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0903576912913165 0.0749542373089163 0.00633382206812907 0.0276243842061055 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.344123413479536 0.140552452348359 0.327659770397039 0.0458389373151574 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104955575023559 0.0453565349441365 0.0303581599518095 0.00284500356673181 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0551353506848118 0.0632867612355782 0.0089649925662154 0.00265845839765048 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0465581474877815 0.107120901562952 0.00798224904930671 0.0088000717990018 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.905371102225288 0.521463721028682 2.47295418531057 0.517888170514767 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.412742480070162 0.18656923654634 0.456448676665797 0.0759769225782978 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241724476850307 0.100878335829583 0.149366930481743 0.020836236177162 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.160771895065709 0.0717470216172976 0.0628304044541639 0.00945837187872737 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.644866499500608 0.272773184809647 1.17290414453694 0.176147883782519 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.193069734142228 0.0661616684119066 0.0892864628604109 0.0132641153835568 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102421008702494 0.0476907051261494 0.0176247673361124 0.00896783983743199 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0983961610380201 0.0778710841491992 0.00962793654105262 0.0290463327930888 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.55691578152757 0.25163624107575 0.891998383109356 0.1435736234719 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.173526390280615 0.0677512330198584 0.0827683557202393 0.00808575926597683 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0894857463590975 0.0675730715639687 0.0227895962378392 0.00352745138356898 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0659714844889032 0.109511351165215 0.0145634738239968 0.00921604094718296 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.151749564991695 0.0681750210188839 0.0633018099312016 0.0110233575128879 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0663944818659486 0.0287493666158409 0.0116409068321178 0.00160720426719435 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0384484664208717 0.0255640216404847 0.00359372833775203 0.000632388397339896 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0286493512442506 0.0335026536617582 0.0015560987448244 0.00107305774149536 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107375041914472 0.0338452484381345 0.029914600703335 0.00327387246472056 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0399374865651479 0.0185561999609966 0.00223503442498978 0.00148610315526931 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0535416826378957 0.0327838087314093 0.00181456480377987 0.00518370491441762 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0862560260154022 0.0735008254362543 0.0047489131695567 0.0269994911102318 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0905449210854449 0.0333838304307135 0.0236442864290176 0.00254319519868299 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0299210610282106 0.0298053510225111 0.00277490441764226 0.000665000735622303 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0208928299812312 0.0607899545805754 0.00152026999400066 0.00240355594195132 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0319842891873689 0.105532010356067 0.00423242507111469 0.00877561462323333 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.298796666764874 0.140730716907202 0.253990668632415 0.0451918701087608 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.132311051175375 0.0554589359193013 0.0472639629481763 0.00677140931020179 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0758352400495711 0.0364947015546123 0.0148080554857877 0.0019994315857048 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.051811165962976 0.0376153116283209 0.00605654262482532 0.00164973334967746 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.212469303407924 0.0695396677197817 0.121919799449861 0.0129260870940918 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0673974282270036 0.0245684597089338 0.00882937035463944 0.00236237607530588 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0588257637825241 0.034173533914849 0.00290931434743502 0.00543812497908233 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0874705568946582 0.0735626284116142 0.00512722893944563 0.0269138667218382 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.179428316097987 0.0668587034563429 0.0921198456991682 0.0105548268523887 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0579516087901413 0.0343345534709329 0.009835655384404 0.00119328188089846 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0321814673519249 0.062010567300823 0.00333310059008173 0.00255313588568828 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0355422388641743 0.105972678493191 0.00497021538664191 0.00879790071861545 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.576695896451775 0.303460932288119 1.00499898304087 0.192303020876919 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.261414124483982 0.112694712782778 0.189896638894485 0.0288176920710483 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.150692388116671 0.0637809417513609 0.0605788385985618 0.00798401711403319 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100090472124936 0.0509623143132461 0.0249120656463605 0.00410946211621735 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.411443224735652 0.152769407989071 0.481090941276184 0.0580324090288323 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.127415856874731 0.0410584750022379 0.0377822017059633 0.00575037126256943 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0758935561263037 0.0385786082322972 0.00764580976669003 0.00644109353217922 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0916266813692003 0.0742051705581562 0.00661335225186 0.0270201039376694 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.349990859958998 0.141388579027558 0.358458190604145 0.0465310883479195 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.11462524186023 0.047982112419312 0.0375141411140802 0.00348161043958267 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0584036863744129 0.0652329375660362 0.0102330706237605 0.00310104883243318 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0475907533216511 0.10733590346792 0.00800506232330806 0.00897446994423971 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.56480131134348 1.10270354894981 8.53854592250694 2.18410337775599 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.738993629092656 0.381341044434725 1.65463621692108 0.310008158855027 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.438339777458843 0.195709971618936 0.545111785858804 0.0845767267355785 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.291987835976705 0.127082415768667 0.230916858669449 0.0346929909701007 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.1043249725505 0.60166679563958 3.98752894770455 0.801224424595314 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.368058847884831 0.127383349329991 0.36748449885304 0.0464017761084096 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.176568959546817 0.0695620433213896 0.0699806047400222 0.016950998878221 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128962429447076 0.0837093583788283 0.0244295800434345 0.0311527827235314 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.951548508578016 0.528867171926468 2.9607874281417 0.596951883832854 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.335282218130531 0.126253462474696 0.326794047981926 0.0342553242389107 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.16739963722519 0.0881040319839471 0.0810018105317569 0.0090019644020173 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115356997084843 0.116165959075105 0.03979876852475 0.0114191627539291 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.49844676401355 1.99583049453429 23.3557951967744 6.71613072641613 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.17000629015775 0.694486356096503 4.41246244984476 0.976325062258353 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.704249522581021 0.347508035838293 1.47072724485447 0.262032792918265 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.474939279766233 0.216544738012008 0.634254244748823 0.104488118215462 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.74634032003032 1.14042179652759 10.9133623541749 2.70407165286876 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.600832056052514 0.239371928883155 1.05053985484892 0.153073220319248 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.290226122322497 0.112370949172127 0.21630337421568 0.0394300511259195 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.18440825969472 0.103259713390303 0.068258833169033 0.0414081626936155 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.50442903767459 0.985174731073337 8.03115605503982 1.96155749457341 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.543792946278297 0.223402528694181 0.888873840613982 0.11099002025616 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.276458431308207 0.123541399588301 0.222882920173742 0.0227028599762322 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.187824878273099 0.131083699249592 0.103567974561198 0.0171089940420801 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0019493827564131 0.000784923232095328 1.13852218170648E-05 2.72313071407295E-06 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00669916627752838 0.0022684200074052 0.000139916158235224 2.2781001097861E-05 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0141137168730097 0.00460866448519946 0.000623748606532767 9.41335586837266E-05 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0249002794607271 0.00858572622624753 0.00188904658938544 0.000345662766090901 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00744812182097351 0.00140743258344904 4.10321781572242E-05 6.7037534852078E-06 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0297751443950539 0.00416425234055551 0.000586360877900068 5.57112605015035E-05 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0625337391866992 0.00837365519273882 0.00255464469081761 0.000222831006797648 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103815240426028 0.0166318287692697 0.00753039648599392 0.0010552286712582 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00663738686900035 0.00148707868363234 0.0001557847067785 8.45216726374747E-06 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0163481529660106 0.00556131323819372 0.000891363876690976 0.000138973361137957 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0327112977376235 0.0125192087489434 0.00348593616512645 0.000706513001770294 NURBSSource NURBSSource 19 190 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0542109377421715 0.0200288067706968 0.0093647410446631 0.00177171270983163 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0469289571577824 0.0337984081392571 0.00634207347868511 0.00299522511715092 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.020407214298074 0.0142704921380328 0.00116399795471211 0.00058569136620647 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.017568963158556 0.00901536517671714 0.000927030128100448 0.000293704126224091 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.02591494025206 0.0101316617107739 0.00202932556262441 0.000443814429492 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0270135448382188 0.0195982329030543 0.00167088086513665 0.00105060494741529 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0303431896510054 0.00670663255804981 0.000697015987157893 0.00014185615961295 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0626271175594857 0.00876998673733775 0.00259899577910604 0.000246380528999172 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103894742867058 0.0168136287414716 0.00758081366369349 0.00107136031777795 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0247527322538741 0.0187464752482237 0.00196741472732298 0.00094871773663977 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0174549108146468 0.00767349405843102 0.00103412637033018 0.000241223251015938 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0329032999479638 0.0128736551282161 0.00352972448065607 0.000736926332792273 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0542301177388513 0.020129597609228 0.00937425633521741 0.00178709690761103 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0937190346119202 0.0676400942977947 0.0256066301746533 0.0118058202173568 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0394604079400174 0.0282732173957521 0.00436145570120622 0.00217207264514378 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0257501045600948 0.0164359701355925 0.00188801396696899 0.000845658418586135 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0286699678877623 0.0134243097338157 0.00243693176464508 0.000703302527190274 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0529584005215724 0.03919066796329 0.00713090489667186 0.00411802147287892 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0317917439595116 0.0117522878590881 0.00101459986781902 0.000399949876507224 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0628913456658025 0.00978830077124808 0.00269869856583667 0.000309930226234606 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10402575079122 0.017109219090653 0.00765821041039 0.00110290459838863 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.048303175931693 0.0374919534356081 0.00721602295361231 0.00370263358721218 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0206933006586348 0.0121076841440366 0.00147329685195388 0.000525566616113138 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0333177552185058 0.0136470073102116 0.00364088429901428 0.000814137901821692 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0542965482847214 0.0204585075752956 0.00941201871794236 0.0018319898152753 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.187026570232583 0.135654955343662 0.103335943920509 0.0465540316079053 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0780492234891552 0.0564230834949972 0.0173068532579837 0.00836952674397966 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0455989325580043 0.0321099059405403 0.00583105592429857 0.00292853217017748 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0381208859130795 0.0223718822151365 0.00410301116151147 0.00167900048323154 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.105268188911065 0.0784346033163757 0.0298571726195123 0.0162357129354968 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0399124008925883 0.0227198218987149 0.00235465685817852 0.00140356311057095 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0636499716708859 0.0136356066839875 0.00306470825998371 0.000573135951843428 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104389734001925 0.0180720516876971 0.00789388640305279 0.00121472423282792 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0959361424533986 0.0750084265013994 0.0280034253769153 0.0145405234098433 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0314450082846577 0.0226139210929656 0.00327470240474668 0.00159154032187308 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0348826326820828 0.0164335639052222 0.00407490474658098 0.00111684333466544 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0546172351258717 0.0214492932817242 0.0095790114903396 0.00198391817887454 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.554110412129572 0.414356510685591 0.94337447693242 0.407254278392706 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.232754712841485 0.16985126557685 0.157278737673507 0.0730822959492557 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.131947198858472 0.0957459703265634 0.0491899883422828 0.0241245000696082 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0896856551930569 0.0630706662718549 0.0222158890630807 0.0112020721694576 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.314358153139973 0.237178442863501 0.281854203251649 0.142601542844454 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0953891917852988 0.0675819496687999 0.0198253290050631 0.0118224955268139 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0737775992358556 0.0345232206447415 0.00689166387417989 0.00326888446651042 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10676062518389 0.0267523569225537 0.00993755833041927 0.00231876583609684 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.287338625504735 0.225499759062301 0.252814037814479 0.125974893835099 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0843118293754742 0.06672099234448 0.0220639918860995 0.0121257135157079 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0522801284431951 0.0354281432559863 0.00911437026661277 0.00415898458343795 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0594302939210921 0.0293654529402426 0.0116404753580562 0.00344550382313441 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.907614807510023 0.706052073244848 2.60863294771559 1.12369559571372 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.386172670925675 0.284612564935258 0.438206368986046 0.200869762079434 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.218569954526526 0.159745942577445 0.136357994583588 0.065706855716574 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.14579879186843 0.104644898134755 0.0589095761793609 0.0295401112186303 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.520007942402698 0.400314614390302 0.795704623137358 0.390185950170547 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.154933234842761 0.112836192214428 0.0580935031005827 0.0324190254346284 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0964340340664603 0.0566531071533836 0.0152825649398426 0.0085003281655392 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111877992714493 0.0392739782494611 0.0137888390087325 0.00456782336590459 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.476075808595224 0.3781116469453 0.710506641762144 0.339801686742922 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138981844036857 0.111018850027421 0.0594391236550631 0.0323076651450382 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0773933448889152 0.0569205029870948 0.0193524042707649 0.00977206405920296 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0694978785608405 0.041156588065975 0.0161075590031419 0.00621103539292364 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.13813915822271 0.106015517584472 0.054919601312888 0.0300753784603494 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0572699421689797 0.0437502241867008 0.00926066718246988 0.00538608094462304 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0348616424881357 0.0248586502962926 0.00341757052654144 0.00189181843021547 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0325296460893232 0.018572671233899 0.00304480900427736 0.00122217219029818 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0774129664454283 0.0617254167349663 0.015763734566367 0.0105016682831385 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0359018915295953 0.0176471499054491 0.00152283972368296 0.000897980787743296 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0634985637632679 0.0117054048584337 0.00278095073318096 0.000420362435528429 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104161295845994 0.0173315217175528 0.00769500145239533 0.00111405982617948 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0686762508052404 0.0597650218023899 0.0145711873017003 0.00961894826837392 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0256988441557104 0.0182413564193616 0.0023176202444812 0.0010730468669265 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.033874754031373 0.0151523495936806 0.00382895290827995 0.000961817450945088 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0543381230787552 0.0205315025418878 0.00953222248953543 0.00182821266251636 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.274608849537475 0.212991349693295 0.221679442181662 0.118173147988223 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114229775302326 0.0874510195628266 0.0371877601628535 0.0210161149190858 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0651495878857413 0.048963754120286 0.0120484421947525 0.00692724441210846 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.048786338460132 0.0334500189805435 0.00665057296794613 0.00354084863790586 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.154281551597877 0.123941358288731 0.0654289022930678 0.0414942112313137 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0521681785353047 0.03461560925824 0.00479584810272261 0.00333500167666123 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0654036010800587 0.0185582396406702 0.00352692615787335 0.00100163376387515 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.1047746666906 0.0196093045986099 0.00811927439623556 0.00134727314052333 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.136905074712776 0.119626904325166 0.057361551504414 0.037848403478378 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0441981516658786 0.0351990997024479 0.00662048107365536 0.00362648503110631 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0380337353012638 0.0213464851126592 0.00493104207109447 0.00170626419685932 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0554705697827626 0.0224605875179469 0.0100589011288014 0.0021092985759117 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.540576287099108 0.432430955688937 0.892696582438031 0.461391419432535 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.228090390886275 0.175107021106766 0.15000008802881 0.0823137847428993 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.128676475499378 0.0974911387369742 0.0472978546992402 0.0264232938103103 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0869374585295734 0.0644574734656492 0.0212990420878294 0.0121629493182674 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307194479258908 0.249770136545822 0.269449251981385 0.162867560089584 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0944717323036106 0.069051037507427 0.019895839865521 0.0129001415972937 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0752100284882863 0.0342086381121776 0.006719547599821 0.00323048194122799 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10700944367806 0.0271500957813112 0.00975580154285412 0.00227334577008592 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.272808981488897 0.239684600393539 0.230278073145083 0.147359681206457 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0846720780846123 0.0696650194723035 0.0235711143907623 0.0133199002485733 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0525049651609708 0.0374035287320988 0.00942209869957637 0.00450071427372614 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0597743898226862 0.0290788802885922 0.0120785078128195 0.0032620066685779 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55553849309762 1.38984499856587 8.09447900183678 4.11977788787468 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.67301000244162 0.533330781526864 1.3570536953757 0.721367117697503 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.38289669686319 0.294068092793594 0.426524084513955 0.229721001136722 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.251977187857339 0.191665146599846 0.181113067317584 0.10034615564129 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.90558870463951 0.781997871244682 2.55743911444751 1.42244469831359 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.275924155564702 0.210401195635663 0.204103927487801 0.114246132687945 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.151742541639861 0.101609925311619 0.0486414562741489 0.0266389221414974 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.137408301539405 0.0678380574278823 0.0283694209694579 0.012091124632891 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.804239575655258 0.733906937269893 2.13706936629955 1.24909094402213 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.25136729670408 0.209076497376243 0.206483631899863 0.111665074269476 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.132761773894008 0.107879810695673 0.0581120352776646 0.0316330482719505 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.101116014574763 0.0711332536514207 0.0357785718950963 0.0153409504740509 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.54346816997394 2.41016932247338 22.8569500183301 11.5387679981341 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.09714822393596 0.910905663252974 3.70771663132973 1.99188485815273 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.631601819659424 0.492863780063711 1.17345902609294 0.626722614809951 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.415968587751251 0.320110740189037 0.495859200740866 0.272134293348341 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.50326231567919 1.36878038580579 7.43300870372843 4.03142555630638 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.463793251908396 0.360274230530239 0.612365307913581 0.322390623805063 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.245931855624576 0.173064129001841 0.150142136584566 0.0745825065139888 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.191337976654192 0.114042120593676 0.0720229800006243 0.0321541753505971 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.32367376616107 1.25729804087353 6.10742697362091 3.42251200186887 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.417745665250265 0.349847231833454 0.580313882168246 0.299325559551536 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.218404979203775 0.179935676817227 0.157948620895929 0.0830124610100067 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.156072232353415 0.118142071240445 0.0869919047664513 0.0384064600956378 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0013386999752754 0.000748966840706356 1.47082742473657E-06 8.23052092515489E-07 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00336163861963928 0.00107557186886087 1.04300970521921E-05 1.92550392653846E-06 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00684492731407626 0.00207950919160589 3.8122999615191E-05 7.42659982446786E-06 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0110931447334818 0.00311966820708593 4.07292700594148E-05 2.38402671631163E-05 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00231807963073078 0.00164105747344644 5.16197167571746E-06 1.71350742045512E-05 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00817505639630774 0.00754034001894556 5.44276841005505E-05 0.000323900541674373 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0176078986019305 0.0171639200332491 0.000257378803719468 0.00176083795367175 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0339518008983017 0.0350865515417599 0.00104221581329884 0.00850328961514341 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00219469497259475 0.00778830275248388 1.67170016056345E-05 5.44003931071474E-05 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00771201062630351 0.0117103620259121 0.000124799200361242 0.000205384678181395 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0175062206529715 0.0229053806661706 0.000699318336546894 0.0011908607791909 NURBSSource NURBSSource 19 191 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0324999466958998 0.0457616032310497 0.00264691545481743 0.00693677640263255 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0844032913543837 0.032342326138138 0.0188033095565933 0.00277950697646666 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0317392631066239 0.0139022801152549 0.00249635205985393 0.000509382441362094 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0188052324487394 0.00854281192250798 0.000726743241769493 0.000179006645316728 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0152053995627792 0.00653030186003187 0.000269846880219473 0.000105868203956733 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0480690062714844 0.0259259798940861 0.00604492344725739 0.00192104421311957 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.016083429510145 0.0112009225884009 0.000431147528184588 0.000488679643196479 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0189644764118829 0.0177154127416302 0.000349665621776195 0.00177403344089027 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0342667759951185 0.035217955958257 0.00108685080097378 0.00848037162959291 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0468891237847562 0.0242143324769304 0.00588317907932669 0.00128437196184382 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0154970640428287 0.0139939252802765 0.000529725288374732 0.000327303690583107 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0185591630231202 0.0231979846463461 0.000784192662216938 0.00126915376043403 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0327624971237001 0.0460952902996656 0.00269268771203174 0.00710395924127756 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.168057966761411 0.0655256791883775 0.0762683865333979 0.011105947054395 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0632723000254698 0.0277839096054409 0.0103050054363849 0.00204530926373809 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.036045171051507 0.0164819752798453 0.00304066215162124 0.000707121278740739 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0249847545012473 0.0116030928062612 0.00109533772263075 0.000349939229661046 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0957070618395898 0.0519725319800186 0.0247887753438317 0.00746430593168462 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.02808567813868 0.0173910218743381 0.00167626483210481 0.000974599615053451 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0227872864915115 0.019420293989439 0.000631891413262938 0.00190077863792045 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0352534437167352 0.0356294772813093 0.00120252101913927 0.00851198483612771 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0933398600767437 0.0469454745014832 0.0237330999810792 0.00531875504947713 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0273656704928555 0.0191697617691365 0.00180201217001427 0.000683552068646997 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218333995019843 0.0245751197833344 0.0010796726971982 0.00141100498064256 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0333917658128864 0.04657403529907 0.00280864152317502 0.00730483459747744 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.330275328434764 0.136820775637152 0.306720709897742 0.0468044375414859 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126244915551372 0.0558954121350083 0.0422290751444421 0.00815247590288923 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0712020460927524 0.0327132146856346 0.0127409972801411 0.00282644549778688 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0470258812570958 0.0222080137431657 0.00482301594729117 0.00131597395345193 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.189581700204616 0.10550338279186 0.101704789369756 0.0296523782081802 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0533885028524059 0.0315097503520006 0.00697811866931642 0.00285980367661323 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0332470400626054 0.0242591431654337 0.00185559875212279 0.00241545757008783 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0392676582279447 0.0376967224489975 0.00167157232483828 0.00878625931790892 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.185246280889286 0.0943731557261952 0.096511881460232 0.0221499518390815 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0522854277212537 0.0322213623347991 0.00704094154800134 0.00220187331910629 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0323062764974102 0.0291280381170382 0.00236124001902752 0.00190465089561451 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0363805192745419 0.048484829195368 0.00329623604162209 0.00781005107066632 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.889371296397436 0.505345652602472 2.6501771160304 0.576598386396279 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.370761518850683 0.176469464089193 0.389076138530726 0.0772157249670669 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.211626324953791 0.0998141911105357 0.120962027569549 0.0255710497640732 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.13806033211839 0.0661712964007863 0.0486243213101202 0.0114811874848959 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.542115874300392 0.341949416513823 0.95933627786461 0.297299800671447 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.157188712580326 0.0933870962463207 0.0685297130930393 0.0225367950320833 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0836032226119203 0.0508828076122519 0.016893304077759 0.00770449068349771 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0660881856668572 0.0510329056407705 0.00742616855915693 0.0115423133088568 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.530943343597376 0.307991195280928 0.896762864601065 0.231776848389281 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.153450064532929 0.089041819804142 0.0656575813123958 0.0191690742520673 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0806551386953981 0.056226711090938 0.0166417544763043 0.00710041682090249 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0604689378048821 0.0627934418967288 0.00876531971303546 0.0113524936266857 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37579860253004 0.950367365021999 7.23579620756548 1.8781645407682 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.597391800529485 0.313918646502578 1.0716748388317 0.236751709547915 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.347431413989718 0.171236841545637 0.33977090207517 0.0736429689421877 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.227991957092729 0.111719370952305 0.139115634039854 0.0319968936943786 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.870014691344012 0.600752959443344 2.74323899229202 0.897772948568791 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.259779847802868 0.159143082964283 0.199249300783703 0.0630791717081104 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.136747105777239 0.0806499162377995 0.0498597515487271 0.0180213080592308 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0984924556971886 0.0686322980677285 0.0205678458071295 0.0167438738855099 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.848103231930666 0.551759779321339 2.53334953737969 0.718461583349976 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.252644217596248 0.149898216761261 0.186714847534903 0.0545088869799775 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.130217374519614 0.0873872877513381 0.046170616634989 0.0177919390326969 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.089627816441093 0.0822995862304948 0.0199668218975759 0.0176572668206793 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.265923342283288 0.120816504642684 0.204068143767876 0.0388982310768071 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.103806988619089 0.049132191531869 0.0288107093261837 0.00660382026877986 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.058220304394699 0.0286002535504397 0.00855511450762212 0.00224502609871695 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0385706939057725 0.0194409435224404 0.0031658230971808 0.00103393090076898 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155176328186164 0.0888990810503971 0.0668202243640314 0.0210222060660533 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0475275667653661 0.0266606736665443 0.00537434960063587 0.00211582021270904 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0300297647971766 0.0217324297037987 0.00132904093801431 0.00212307393119664 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.038308282251459 0.0366185467167435 0.00145188190049565 0.00856337850450821 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.150581231748976 0.0789320210070065 0.0627988696837785 0.0159644873630779 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0459617943350145 0.0284630728609917 0.00549234133291624 0.00188296503224179 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0273940133515646 0.0273435326744959 0.00170028665286812 0.00184379489330533 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0346537496668237 0.047266632426517 0.00292795299063475 0.00807621625528591 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.506872540991148 0.26660732939274 0.794928257238187 0.178447807545931 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.207070347675609 0.0993725697927409 0.118105514648982 0.0261692992158309 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.116575470167058 0.0571382378642632 0.0358164241944889 0.00888812822191032 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0755747148999224 0.038403018668151 0.0138234467315367 0.00405724096328211 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.303804817491957 0.185133079892769 0.271578871821684 0.0868125729513153 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0932629627878117 0.0518861509368295 0.0225365842712709 0.00754610204998219 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0503090618596424 0.0312559192219493 0.00495675195958123 0.00349522176712576 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0478263820074636 0.0410031725347649 0.00277611514981673 0.00925315961763262 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.295029620715257 0.164217464154242 0.252490235078481 0.0682180048388209 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0908090412672462 0.052364142222593 0.0223637703210411 0.00696967471531842 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0459883902084599 0.0373703559347665 0.00513525016776003 0.0033271829071456 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.041307421116387 0.0519668758298476 0.0040911514066891 0.00967579021370045 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.932281372082083 0.612340521759272 3.09332388596531 0.884023241314943 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.404134996127006 0.208221606368551 0.472234134825581 0.109564247986679 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23165277994875 0.115874940933011 0.147399042004557 0.0354065296687336 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.150244934309121 0.0770380819343352 0.058731317765239 0.0160056377693621 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.580114433454303 0.398497331541566 1.10173509610947 0.387988940441687 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.183873093641443 0.104653153154774 0.0939759284598431 0.0293329409670717 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0937286788244058 0.0554356203364901 0.0207546009264722 0.00912968193038241 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0723931284613283 0.0530783602328165 0.00869747344972389 0.0119911303785853 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.561055723390263 0.357556793495858 1.00599121615501 0.316142378829432 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.179775833021299 0.102716615767336 0.0913301493723763 0.0277896103827963 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0860573638767051 0.0616665995440832 0.0195515009333122 0.00905548661122062 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0619972669957124 0.0654191088495977 0.00922272457504224 0.0142922483970299 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.50733924085381 2.11092934400578 28.5448316831039 9.078561667956 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08104578924759 0.731128857954545 4.1144081972116 1.2005489597282 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.648245356197978 0.383250967757901 1.308774771073 0.35640699015709 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.433045245648807 0.242570438599195 0.545030762705313 0.147521117433155 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.61549887285008 1.31242343736131 10.8678077326378 3.96855648946096 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.533706258866764 0.339531035760762 0.933796283942818 0.289163575959695 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.27112753659691 0.16587576924105 0.214786024893168 0.0713774107773993 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.182743473900472 0.12055848211994 0.08484201304961 0.0421755441056971 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.53914347391861 1.21740949388941 9.71323172561652 3.43209891747607 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.514211585877463 0.327896492049284 0.849393731522823 0.277909989427382 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.249844772559557 0.169979645194719 0.184584971292018 0.069982493413021 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.157566093287749 0.134752097565713 0.0684599163166496 0.0509026558038027 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.08309846716292 3.66088712157572 80.2394161906737 26.0216007402131 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.69516595304961 1.30365979374461 11.3439273330813 3.56236559270068 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.01646475689589 0.687976406728125 3.5658592637492 1.08402151379581 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.687281034247187 0.427791276824332 1.48622665008853 0.441655372962185 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.64844859082517 2.29240069708179 32.2839142018284 11.7889563788469 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.884505238528089 0.611474224233532 2.89038964307536 0.909327085299874 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.454524065071219 0.29051110047742 0.681785522790109 0.211362273414899 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.300803514523141 0.202415931388823 0.273138176342046 0.10711931300626 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.50871962712294 2.12670833433689 28.9090540841823 10.3451429635715 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.825985068367906 0.574784784283209 2.43841791315805 0.833280418833146 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.410618511300319 0.28659192354343 0.538070527351479 0.199551702701173 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.259332252728564 0.212316013214369 0.199348470803126 0.120390179080204 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000983234338535115 0.000849573132468839 1.66804951889656E-06 2.75093456865198E-06 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00353405150309376 0.00256576629524819 1.94802166781566E-05 2.77589226559801E-05 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00757280403997606 0.00536227099664855 8.57126682684502E-05 0.000126285846693169 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.013416999403745 0.0109794883512773 0.000251717541519707 0.000475609923217828 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00521318076289774 0.007193899815404 0.000157716184428442 0.000310947431561272 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0220141161102271 0.0275479008643126 0.00281949153702976 0.00462282654706123 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0447410072870392 0.0535991473415954 0.0115692516087714 0.0173008032829779 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0704446311609956 0.085366197938296 0.0279382768676954 0.040789012506719 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00651206907047528 0.00418743344614051 6.50810502776067E-05 3.37519706727444E-05 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0157273265629183 0.0157204185854542 0.000427856188926614 0.000517284545055214 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0294362215541315 0.0330871271932349 0.00153779399699658 0.00222933535523802 NURBSSource NURBSSource 19 192 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0455902030900307 0.0521383087171787 0.00358780439863433 0.00556529627917154 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0228005223103683 0.0383921794438204 0.00180250513100779 0.00447979875745579 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00992169912110256 0.0163976302425511 0.000292992413044332 0.000852780958614637 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00870049614401217 0.0105992188216145 0.000172384299239417 0.000415834751466464 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0136154978035387 0.0127999903737708 0.000300661602919345 0.000620756404865632 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.014092494070675 0.0230117782430072 0.000867327973734597 0.00179058225636582 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.022047905587254 0.0284914292275027 0.00282259629435612 0.00477864628922437 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0446770806089244 0.0538038201927048 0.0115135975152939 0.017351884815876 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0703540166396758 0.0853643803522141 0.0278381565154609 0.0407254677414256 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.012922477734978 0.0197215193705999 0.000454627872927282 0.00105866034240703 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0160201936106812 0.0166508775878823 0.000495990798874613 0.000577280975504798 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0295462801083315 0.0330373378564026 0.00158507274242217 0.00220603090199393 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0456716059728147 0.0519450337930627 0.00363679277880401 0.00550821525114642 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0455354276649302 0.0767402069686812 0.00732529676393781 0.0177296124974844 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0192561316533909 0.0325152471466668 0.00117614744705099 0.00323855980892429 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0124336744445424 0.0190179789423381 0.000419336199777933 0.00121114359311138 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.014412839046948 0.0164547514007551 0.000409982032081224 0.000977268257315981 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.027268637036512 0.0440099650763713 0.00294006506829751 0.00591197472570311 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0226533020300827 0.0312753665428603 0.0029780254047393 0.0052658021587071 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0446908398506365 0.0541664443781589 0.0115131268582718 0.0174766893950564 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0703138436813814 0.0854098324665691 0.0277771600915266 0.0406959124155426 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0239963488975177 0.0389009295466743 0.00171910457012246 0.00427483930554745 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0168117570590806 0.019319822239044 0.000627914107217603 0.000801951027724085 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0296891354804479 0.0333447492251983 0.00165166803418158 0.00223130221791532 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0457669780211883 0.0518103111947807 0.00369462538757577 0.00547414408928894 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.091019282261606 0.153374397152268 0.0298323116582754 0.0698750704008025 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0381040855205417 0.0648445162104026 0.00482639884492856 0.0126340671370757 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0221924843292831 0.03690795290942 0.00147446567377261 0.00427442175861842 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0182948196121382 0.0266966538756878 0.000825688325254646 0.00234426134480997 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0541257940338166 0.0871720324228371 0.0110652863018446 0.0219209771957316 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0261977028532696 0.038891876062999 0.00381291347403732 0.00695361448012435 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0449819035083447 0.0555058914225354 0.0116837044738869 0.0179751529076232 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0703003534167418 0.0856638035751824 0.0277495673600019 0.0407450793947343 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0468146589341348 0.0775765652492807 0.00702900544699459 0.0172301505664343 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0207705135462582 0.0279963209160783 0.00109800942829444 0.00181533305272471 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0300884148968071 0.0348127932144189 0.00184283490221338 0.00242822029282643 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0459766333115157 0.0518555554040127 0.0038368096971439 0.00547845320028 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.281143737628546 0.452502334977201 0.299269711779342 0.561272197386396 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114051195068328 0.193931871538865 0.0452829347258929 0.110277507551798 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0644485106024082 0.109496054137012 0.0135780438215396 0.0358286883510622 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0432840036803578 0.0728400817559608 0.00560393510660696 0.0160587157713814 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.16101643113603 0.263387047257343 0.0954150039555841 0.188954781879357 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0549582491317115 0.0812726659179579 0.0134385139800752 0.0228388486807749 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.051297395436394 0.0684820372058942 0.0150066257665079 0.0233356928941736 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0715258534314079 0.0887971648741783 0.0290257636994808 0.0423891206722357 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.139721843627708 0.232124842780473 0.0667656851224563 0.151362135661985 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0452778544155055 0.0742307196741441 0.00614381425559774 0.0142932316788195 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0366637764190547 0.0490048531825219 0.00342192036920875 0.00533743666370768 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0475784654768308 0.0564558351281013 0.00476193161348511 0.00649398413836293 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.489571736956525 0.735025985665597 0.964487619476795 1.3682662592085 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.191277342156438 0.321458830128008 0.129584064314572 0.295820148540613 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.107040152035778 0.181978153793132 0.0385007821271235 0.0974921824309925 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0707785155559863 0.119903892998717 0.0156895833793873 0.0427149909336364 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.267910384365889 0.440748381041854 0.266173453096113 0.514593477436755 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0887783710379703 0.131487069040508 0.0320816954513756 0.0538157002563357 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0655479176898184 0.0863024962472271 0.0228454970030233 0.0330282335754278 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0764320601349656 0.0951657026307215 0.0330692005994732 0.0463833922433797 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.234692819409881 0.385428395891843 0.194116128456088 0.403613647537618 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0729648334866333 0.122702880813086 0.0165586713414778 0.0402021702298476 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0485030471000836 0.0709097035996731 0.0064987193454825 0.0120792478872842 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0524026924382236 0.0660337887624246 0.00629680937218954 0.00918338740197976 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0739043927469574 0.120071094424625 0.0191033434310685 0.0415281043261058 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0304964760745778 0.0497116386702676 0.00295168377326172 0.00743005051268792 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.018311410081026 0.0282980041783129 0.000900223247878458 0.00253959063732485 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0167442531177036 0.0212520428237005 0.000566289470261433 0.00152263222504382 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0436953389813809 0.0711086322416 0.00722960454012705 0.0150631058067636 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0252069522991138 0.0357271994911393 0.00354615529512613 0.00626506648488909 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0452599183627834 0.0546027774183074 0.0118203136084853 0.0175430310523571 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0706824299192197 0.0856540963879579 0.0281017564038767 0.0407208167231566 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0387442983459332 0.0640254774682275 0.00457429011268393 0.0121125398412988 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0185458426308848 0.0241180599556761 0.000752967526949739 0.00131998705330573 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0295583964056474 0.0351223390310376 0.00166052650722065 0.00249667402056973 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0455817256234079 0.0526261994941776 0.00362532030602014 0.0056977101750753 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.148595752155363 0.239397685214286 0.0802343874262973 0.160541618480354 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0605884078349791 0.0993648855965852 0.012203701736795 0.0291493357134579 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.03458323001455 0.0561830896737912 0.00358083157879092 0.00957621498393601 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.025236926872406 0.038272412063582 0.00157076659550513 0.0045804742011407 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0868578132670847 0.141225464911057 0.0280828898802485 0.057179665974898 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0345858910846675 0.0507241309891996 0.00610041723360615 0.010423202674424 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0470292936499113 0.0582424315831385 0.0128413435671051 0.0187206063866493 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0714441834122274 0.0866399322186076 0.0287920026038833 0.0410464062750866 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.076430651779277 0.127968442695641 0.0189760010767536 0.0483939721265456 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0264819910654529 0.0407583686755773 0.00170308356493665 0.00413732682228655 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0308445510365565 0.0398507888381554 0.00198750640864622 0.00335070432719641 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0456435111426383 0.0544324410756043 0.00375815426955435 0.00613241826967982 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.301941138090515 0.474834541953906 0.351321415937169 0.594226793818538 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.121454390242647 0.19843956575828 0.0510562190086531 0.113732668098977 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0678423875092938 0.112268823888855 0.0148710664388822 0.0372660235414247 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0458642577394473 0.0744034681770508 0.00597799094189837 0.0165903022566567 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.173056264076863 0.282930781404233 0.112237261133084 0.221564909486775 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0594117457341878 0.086868102868297 0.0163809561086705 0.0255674540497097 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0553087918664733 0.0692979532449981 0.0175334070715018 0.0231581177710833 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0743511996654896 0.0901476781755827 0.0317329763504869 0.0426515849298253 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152377934170829 0.255841385004638 0.0795362982976722 0.189967338665752 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0469015437952984 0.0773687028653128 0.00586832723019535 0.0161696050908094 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0366793011472557 0.0543740634224934 0.00330589311262165 0.00698315697408139 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0467981706588107 0.060454697624107 0.00431143593006751 0.00791587157414374 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.992004302625163 1.34844061502132 4.35380117493594 4.20402966577547 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.378556729022797 0.579465114016105 0.544613731071307 0.883724799007792 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204991868861282 0.332527097095188 0.148232644323265 0.309990962390901 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.132879292063753 0.219559892998955 0.0579754252984856 0.138736273009535 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.544449579642046 0.835310662525651 1.25860770901613 1.71969718096974 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.17258614307676 0.243087526600178 0.133794140047817 0.172396794444147 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.120287945897076 0.139250504705254 0.0759794872385813 0.0671983391507403 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.1104807998355 0.121458199069585 0.0718857009992607 0.0627452376867487 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.487625811237397 0.737463428925677 0.963477449806312 1.36653567091491 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13581314395301 0.226322209098188 0.0581578808670165 0.142426864348444 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0816199924489308 0.137335615635705 0.02028321279565 0.0510045266654335 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0662867687316445 0.106455636939231 0.0112691334983507 0.0292843232436812 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.76739711608471 2.16875333670086 14.6172928493434 10.4065999824485 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.663091061976078 0.928500400500067 1.82109538390417 2.13730542844415 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.353670500861785 0.537747678716339 0.475926589951382 0.770966044674152 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.226307703766516 0.356544433423704 0.182989366322794 0.352878428064967 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.992865325299337 1.35549116236192 4.64671194271871 4.22746531974293 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297505675972855 0.405570291075264 0.432425646871727 0.455567529101263 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.197447061245742 0.223638711863112 0.214659951324536 0.15413260250927 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.170275429247201 0.170108821390218 0.172814900065817 0.104238053096828 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.858427018388764 1.19488311166306 3.29992628544379 3.3430581618742 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.233763626737627 0.369108812282314 0.198790923854091 0.368359256692524 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.136729157811628 0.225477940383037 0.0655446376698366 0.141713550607931 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0994870516387208 0.171452433331337 0.0303997606135002 0.0828308174318103 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000629539914965441 0.000465717009687378 2.68566959472851E-07 7.06887563422745E-07 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00205285431195797 0.0016449712592916 2.81252157445925E-06 9.04609567307677E-06 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00432544313611017 0.00346473569970109 1.25285821186411E-05 4.01979396501608E-05 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00748703297138722 0.00537265293321261 4.05069208320114E-05 9.91722208272165E-05 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000711084336650512 0.00125032007266509 1.83799891087957E-06 5.84816317968085E-06 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00280226022725563 0.00567304290149814 3.39012519003002E-05 0.000113828633686615 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00584587513987257 0.0119677201272074 0.000148841211351407 0.0004845198349492 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00932594874262498 0.0207394300579628 0.000366795022409743 0.00139743321799877 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00211006603837719 0.00168248639650896 5.53519349334762E-06 1.35197519930483E-05 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00523811881738651 0.00604794556204969 4.40431908940766E-05 0.00015071360436688 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0108926239769284 0.012955617346687 0.000195807334609456 0.00069522903109267 NURBSSource NURBSSource 19 193 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0178028410306747 0.0218650361050971 0.000488445301398512 0.00198427064214644 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0463236611889356 0.0118842383967207 0.00557237689342486 0.000379850340002562 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0198979228542471 0.00494820735815828 0.000968282869646019 7.15207282788465E-05 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0117813221807785 0.00425266694127781 0.000275689347120742 5.96446005158438E-05 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00988414452699491 0.0055479889254365 0.000134338998872723 0.000106065557751598 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0244478911694749 0.00781643785070913 0.00155254710550744 0.000157389260462649 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00766491421798628 0.00609734088752484 0.000171338556118565 0.000124442507792821 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00697241558904839 0.011992333564997 0.000186706467016832 0.000486170044200257 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00959682216707619 0.0207483081819291 0.000377427732132522 0.0013960212437696 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0245068163601567 0.00750825815018262 0.00147488017262614 0.000167558341870983 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00882629464835329 0.00653462000959822 0.000142585021493026 0.000164989848920059 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0115066393843323 0.0129953318059578 0.000218210433403791 0.000695798170487504 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0180171336996129 0.021859334460047 0.000500556932162344 0.00197996814820653 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0923369262960691 0.0240137889326777 0.0224012553777769 0.00151326130428632 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0395915124530158 0.00954381044588298 0.0039854307004793 0.000253592489640782 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0224809315067485 0.00623980279262267 0.00115557907032293 0.000119670254416506 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0158713413577234 0.00616140023420327 0.000461065452385624 0.000129827615280033 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0488312644253972 0.0154516044847803 0.00620869609150978 0.00061373623895692 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0141899672640446 0.00724879905825725 0.000553710777891578 0.000158031269410191 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00932977126212408 0.012096767589314 0.000290051494715852 0.000494050341231043 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.010368492287675 0.0207690636344756 0.000416335673071211 0.00139756667389458 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.048822393479806 0.0146911767274202 0.00606669866043904 0.000598136619167843 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0149185771361956 0.00754308226773101 0.000469218920711545 0.000202927656653701 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0131197635512011 0.0131555629938872 0.000284305731379912 0.000704081788479626 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0185292785991086 0.0218892854521949 0.00052813464668934 0.00197958565143077 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.180820163097351 0.0510840143533857 0.0877847044372565 0.00661596213295181 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0788944695887842 0.0190373502086019 0.0161897693876638 0.00097519649843908 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0443507522773719 0.0110686633445907 0.00482806184412376 0.000352499557940924 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0294578613694212 0.00849457137456568 0.00189388414810322 0.000231008048691968 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0972955568019857 0.0310212250038634 0.0248481116809042 0.00243921500926105 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0277328772150617 0.0105290432484099 0.00205137029699256 0.000294997152022935 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0151040114125931 0.012684487251251 0.000669482234246348 0.000530987710103278 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0128323081716449 0.0208872040193483 0.000569012872204835 0.00141069897014325 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0971936097882962 0.0296119532898556 0.0246682408040848 0.00229213009697186 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0282549504656189 0.0104796212565002 0.0018661167949518 0.000347194392869989 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0178042570775472 0.013771641361138 0.000561714547104991 0.000742013874999638 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0202522559503892 0.0220261194188072 0.000631517658990171 0.00198894961040604 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.474769962321072 0.215392469951292 0.698253318591304 0.109626820930797 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.226735748775005 0.0656049131049367 0.139586223813695 0.0112489386549226 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.13109165937688 0.0331397679913012 0.0445904982799642 0.00291660894277224 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0856764334893194 0.0215072096825503 0.0181878075632831 0.00130109471911693 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.277629271026253 0.105817757955827 0.212955163761311 0.0270292736994674 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0826049963646098 0.0270929065604867 0.0178836242551324 0.00181406992871215 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0405670119391844 0.0183720141895943 0.00442255070635964 0.000965910916607036 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0270420489327165 0.0224863961683578 0.00209248837764396 0.00160252596164174 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.276198640233617 0.103653410375939 0.213884273381093 0.0261223434502811 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0832663179972033 0.0262470704026707 0.0176199017599525 0.00182522472990937 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0419635430844837 0.0184178400063561 0.00386222034833414 0.00113899976180373 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0315174362461708 0.0235848454430469 0.00175888349029107 0.0021634197256051 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.721364598217721 0.427429217041549 1.83020247985691 0.390493690998785 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.356416674944687 0.129618418095897 0.365461420008245 0.0437944321166918 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212473564687864 0.0602100159964445 0.120203745304731 0.00952415795142863 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.141026136229147 0.0365959260457278 0.0507807399103124 0.00360246379892836 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.435531289627872 0.203600221388113 0.561035501852723 0.0971632023297243 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136978658086926 0.0454643379078817 0.0492079571267937 0.00502617541038418 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0667262664864875 0.0264938138174089 0.011778197121547 0.0018784593790229 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0428020025741764 0.0257258736640541 0.00502650929815299 0.00202579473699303 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.431561746206596 0.2023213752582 0.566541079199867 0.0954522855205632 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.137679481626892 0.0441906814049526 0.0494588141238698 0.00485838754785562 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0678241967878731 0.0252510628151625 0.0108609180754278 0.00193450516513028 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0454344697018427 0.0264001016881482 0.00415734335608836 0.00254716868795802 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.148506518948422 0.0414622395295836 0.0581032393063209 0.0045905232407498 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0658236648966598 0.0149193001830224 0.0109620121517657 0.000592238160237402 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0369701625853071 0.008978417070584 0.00325267495328697 0.000227780068855984 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0246408228689248 0.00754279396300944 0.00126605611282697 0.000177963831189459 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0769264929976358 0.0245347973495218 0.0154247898492933 0.00157765446100423 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0235259347330875 0.00918598910208412 0.00145861727343626 0.000237606987791187 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0130798655590692 0.012374002089436 0.000518430948973858 0.000530636774165111 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0120351138181229 0.0207386170861111 0.000516610525278261 0.00141995067390783 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0765676363337921 0.0238780935848595 0.0151422027090558 0.00156939919841421 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0240482581057408 0.00956325514181282 0.00129285837021907 0.000295218612596347 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0158520768824698 0.0136555600834591 0.00042173773745251 0.000743158205061968 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0195067177432004 0.0221911071129364 0.000567034872268498 0.00205698662628128 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.281883845932301 0.0980095641743037 0.218669588652932 0.026497873176354 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.129325165916369 0.0319899821130356 0.0431237224117003 0.00280320016918632 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0732473853304938 0.0172415636076049 0.0133072947452007 0.000806516969669834 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0478795749371726 0.0121665600044073 0.00530007180376363 0.000427223235087782 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.151067737131843 0.0517680360268978 0.0604770542129031 0.00711824813057326 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0465724702760294 0.0154305252142937 0.00560894422009444 0.000613727241116179 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0232070777660262 0.0140188199093414 0.00150711180762192 0.000651048461814494 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0170499553892167 0.0209448435711231 0.000916503834518562 0.00147644797315608 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.150193774713322 0.0506327559834488 0.0599661699466365 0.00699961497965175 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0472107551370789 0.015455777615435 0.00531825586876223 0.000694708810283171 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0246021666989547 0.0152519182533106 0.00117043352281275 0.000869946022809806 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230264002409399 0.022840667952785 0.000819496344071873 0.00217043758663218 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.507342158585152 0.249530064165105 0.795229449485099 0.159092341447097 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247342757175802 0.0750127572170915 0.163736185009888 0.0164163709405135 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143479492239067 0.0366729063707115 0.0526070702634307 0.00377337300817567 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0941705036196621 0.0234536672009463 0.0216739943835932 0.0015156052119271 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.286964175619871 0.118828427744382 0.22879193345142 0.0365321684022197 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0924334665631175 0.0293459504620471 0.0220333691555896 0.0021825318350894 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0445119253439405 0.0192919730140538 0.00532846054119627 0.00111775639801725 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0290087991163962 0.0223245168430834 0.00242297610993512 0.00170179297326589 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.284228579322815 0.117525528370526 0.228331343785959 0.0364461867506382 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0934323561059194 0.0291065818437294 0.0217485260160081 0.00228821546873738 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0443619797881717 0.0202317659678902 0.00438817551530401 0.00134990426105731 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328517215107287 0.0248791928699679 0.00191813014312222 0.00249244826992431 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.26924590197047 0.998207553825526 6.47072800796898 2.0476631616055 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.622176834304742 0.337658310207241 1.24547196541266 0.287436057131817 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.385365066982805 0.151403270439475 0.417470586672178 0.064631890650092 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.264204725628627 0.0843712398550834 0.18294072623051 0.0206371496586971 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.737073601422673 0.492146098038906 1.84940977833452 0.536380896722094 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.266908432626234 0.100105614448191 0.19025276643538 0.025273087429305 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.131038717544154 0.0492048522657945 0.0456082571059163 0.00641701922216673 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0824005811235326 0.0381487650011264 0.0183243686731327 0.0043363214365841 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.734546434443988 0.477852060174502 1.89710279395085 0.523140482942092 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.265478544565319 0.0985200399385584 0.189295998461185 0.0247751155488686 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.127432990576788 0.0476502705237619 0.0410981768595879 0.00637550008641994 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.081605733039614 0.0395941589939529 0.0155367778744565 0.00508790119112948 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.01729115397066 1.78232803028972 17.7252634773604 6.08639905376165 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.939980193584402 0.644966711391647 3.2119359073636 0.937201466227994 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.583091996220278 0.30255676752767 1.05220464585201 0.233169614678005 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.407087307370514 0.167596520428215 0.462180242412998 0.0769434581864878 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.15587486339851 0.929737197224455 5.09070586462001 1.77544413840282 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.424952418813165 0.200263529953422 0.514585363347866 0.0982388760734597 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.217842259977198 0.0867557295311648 0.128503330435108 0.0192679974223511 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138336420451499 0.0594401602328015 0.0518503807704545 0.00985792844291149 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.15360972916222 0.878489705177624 5.24762101034433 1.65578670568035 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.414700149869404 0.190254947238918 0.498715946031746 0.0888477511258909 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.207411620358005 0.0809867116111749 0.115129522606352 0.0170629289160183 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.132574351186672 0.0577415923336149 0.0454699076936614 0.00953672588696729 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000756384529855722 0.000982390481073175 8.49195823079247E-07 2.46751222176275E-06 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00255786495304739 0.00307607135962384 7.76785240731471E-06 2.55735638735267E-05 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00543608456757707 0.0063483922512744 3.36240310852895E-05 0.000106958672396971 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00997591419570201 0.00902695229271775 0.000128017543714082 0.000205523071199791 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00190046747881477 0.00129137838428906 4.30081617843533E-06 8.83347650076232E-06 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00785873178619065 0.00587721722942254 7.65857489587682E-05 0.000182774580019823 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0162007382526537 0.0128948242965509 0.000319630966569528 0.000874320848900294 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0264889851070519 0.0269545294948925 0.000883275447984013 0.00436960806824012 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00255504732613367 0.00424181377274485 1.0971251751294E-05 4.44375740408169E-05 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00410182595418864 0.0109950897948027 3.41762338666948E-05 0.000300671150121905 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00766216983510106 0.0233772445855618 0.000128675134609616 0.00136432234982865 NURBSSource NURBSSource 19 194 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0140241601102636 0.0439645827224696 0.000677796606812102 0.00630243763347856 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.056555578772799 0.0157694180116056 0.00848155747371309 0.000713321475702277 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0246480897602116 0.00694113030106627 0.00151599223034847 0.000125587694662413 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0145073154024165 0.0073912912374108 0.000449242780652266 0.00013385825677725 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0130904570919318 0.00931653301565847 0.00028033879507237 0.000214206036611513 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0277918387203612 0.00998913302515573 0.00194004241319215 0.000309889433037053 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0115622261159044 0.00653092372114451 0.000213887143103085 0.000215678183255903 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0168403288451725 0.0129736057272669 0.0003545202880787 0.000883345339219953 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0266246507412354 0.0269336308890488 0.000897171564130841 0.00435873895280538 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0280128695680923 0.0103159945380588 0.00199160894092841 0.000304617426402026 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0090597795079488 0.0112421011234488 0.000189270612998629 0.000310527049938881 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00866390164976974 0.023316752872008 0.000163134662564648 0.00135428353782697 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0143492255803583 0.0438548251184525 0.000689082477007958 0.00626591409662185 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11213724706238 0.0323801960082131 0.0339016371189845 0.00293353950906193 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.048991146605222 0.0126754404547579 0.0061753417968616 0.000445377095485673 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0276124891101875 0.00961096543095699 0.00180276125079426 0.000223824092938659 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0199531748662372 0.0101606594974101 0.000783016938375984 0.000249365823606301 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0553222698379336 0.0198606034328734 0.00789108375587552 0.00117173037378002 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018203174422513 0.00814318285370552 0.000653123921247219 0.000301732456119264 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0184152755074754 0.013138259927013 0.000454897208254795 0.000902926530961705 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0270923163522548 0.0269393329467859 0.00094467609600718 0.00435154533687588 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0556693289701919 0.0194197553175778 0.00806548441736332 0.00110911420661137 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0166740965130605 0.0121521378209229 0.000674812474704982 0.000359341915931249 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0109083102164022 0.0233012116565362 0.000266992662635889 0.00135093746305185 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0151085240076446 0.0437114103544914 0.000732808740025417 0.00622695356049952 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.216712482477505 0.0721699380256656 0.131378046628289 0.0140402374669148 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0973335154962069 0.0253491593441412 0.0249774000377291 0.00180216809154877 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0543786944577262 0.0153770254675802 0.00740371585723688 0.000605961207701476 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0361058361102553 0.0128723277953614 0.00294057665091771 0.00040037527196065 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.109940738280019 0.0402796790946248 0.0318289004208498 0.0046090790308424 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0333834488312461 0.0126095925116616 0.00252742278442821 0.000621231274288931 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0233286658560525 0.0139015409272626 0.000866134942985203 0.000986765986165559 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0288275350731798 0.0270059599671594 0.00111428295255229 0.00435698010952523 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.110420457634905 0.038966723644336 0.0324663205281622 0.00440334668918905 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0325889784418267 0.0152526330997513 0.00266449909998436 0.000578232771973993 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0171438202263781 0.02367331523845 0.000695649805673043 0.00137678163514863 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0175119130080993 0.0435945214412987 0.000911952857637764 0.00617844321414537 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.567360617684898 0.296964680194879 1.07559584294676 0.215067177881969 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.273822965970303 0.0932847070241391 0.212397311913999 0.0237676654123842 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.158530192648709 0.0458721143043767 0.0668661765496607 0.00555645751492745 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103792689267495 0.0294375212368933 0.027176721247481 0.00222223284412805 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.311604517273641 0.139197803086418 0.27517911205029 0.0501963137923967 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0974261005283758 0.034422978441226 0.0237897953042419 0.00386937609252999 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0514951126373967 0.0212226505763645 0.00572543249351714 0.00193286944142603 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0420112097708103 0.0290070733404928 0.00303237038409052 0.00486711946614039 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.310374057825321 0.137222807227692 0.278980736486201 0.0495648255547341 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0965499748371662 0.0348054813683594 0.0243004231748077 0.00322165852752221 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0462276934837186 0.0279455141824401 0.00544107379953429 0.00185154060616155 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.033177683845242 0.0447817218372107 0.00291148602772819 0.00655163266856914 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.87483085258919 0.565275976337793 2.89577047853627 0.713424248018131 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.427909366969011 0.183358449199377 0.561693858685001 0.0886687224655624 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.254368928043295 0.085332332288017 0.17961822922415 0.0194052158134997 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.169103201044283 0.0507173636037258 0.0747513250534741 0.00665812094483564 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.490066825076235 0.261627003666252 0.738221858029541 0.165708531737596 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.161169086625499 0.0584830646710237 0.0670362207601808 0.0103616658746717 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0832630586736578 0.0312411097669881 0.0161721777065976 0.0036724814921872 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0600866211618618 0.0327484691210147 0.00721629203805546 0.00564009055185379 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.485059534441509 0.260922002472664 0.747097300547928 0.165756739650244 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.158860309112394 0.0581492721044182 0.0672423019337841 0.00904065894266131 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0762606805921705 0.0348168977474118 0.0151202863574558 0.00289863968597106 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0515755090837591 0.0468965811301068 0.0068749321347682 0.00692417337038236 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.164457297934174 0.0493492433533283 0.0756071925166386 0.00687873051379076 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.072545120317035 0.0187642720792194 0.0142200684736519 0.000983936284553284 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0405342196690902 0.0123659983894277 0.00420011795604268 0.000372931646622393 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0278940724639838 0.0114995575057516 0.00172286978613581 0.000297152156637828 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0849237920958024 0.0311153480730126 0.0193594550990184 0.00295661620632019 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0257459074705677 0.0108101961575574 0.00145641229352414 0.000481983151796323 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0205058007178813 0.0137262129907537 0.000623536795777649 0.000978977587945643 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0277148615107689 0.0271955363950678 0.00101486858066751 0.00446592609114254 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0850567283567808 0.0298933072381002 0.019676839229598 0.00272476138142933 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0245230923402102 0.0138673176727111 0.00155308450228773 0.000468573070976934 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.014019294908629 0.0236193788988223 0.00047226277173482 0.00137885187519135 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0163835417351888 0.043975184202877 0.000870397202465233 0.00634844554336404 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.309819096920482 0.117777115072114 0.284550370831699 0.0382205457009917 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.142890141159231 0.0393908441247492 0.0562387648428379 0.00435748752178585 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0804013453560407 0.0220789665536386 0.0171483750943542 0.00125305048311383 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0529465213978934 0.0164295071794695 0.00688435480815404 0.000632149346571255 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.167800738590838 0.0646610401957229 0.07751636385732 0.0119408526193382 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0494495228930731 0.0191493344369627 0.00594440614962438 0.00129174534609354 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0300869460542481 0.0157658447448215 0.00164822908676256 0.00122005001943109 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0312320495584853 0.0277569444408536 0.00143685442631007 0.00463414742022983 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.167647474007442 0.0622050599031583 0.0784889604309093 0.0111061162412841 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.048569856116957 0.0201944271151014 0.00623671833601267 0.00103225885577548 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0246091509304568 0.024745231822053 0.00153752965732752 0.00147570347808583 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0215744966936676 0.0441532244903178 0.00139597031652444 0.00646602526470765 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.56063195345208 0.293154624927148 1.06392396290918 0.218870500521765 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.270575150493327 0.0932138154991048 0.21255595316738 0.0244286161046106 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.157337757527699 0.0451948287117849 0.0677534071602496 0.00554945493303823 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103358182810465 0.0292333124825996 0.0278459020819284 0.00214162597999661 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.318982897604944 0.146370252993335 0.297947950832262 0.0570049847820771 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0975849159555028 0.0371617811523821 0.0245441918448951 0.00437910953229856 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0528091768548938 0.0223053285543719 0.00609113820988928 0.00210903776309469 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0426504680070592 0.0297116740703035 0.00322582205879309 0.00518624500983565 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.315900303512645 0.142965653297648 0.29857202473066 0.0546375315640229 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0963129565775742 0.0356956374562179 0.0250714383709623 0.00341043314119526 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0472824035125034 0.0287114087527209 0.00589756698142226 0.00192428722302661 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0349403773644454 0.0453814973762687 0.00344144223721563 0.00695065612965814 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.45071129487376 1.12550958919976 9.11764069977522 2.70763503848783 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.693326370010764 0.394160407598098 1.71112271361443 0.396239108496414 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.420014832018914 0.183295089348973 0.545103148373184 0.0928799049825973 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.286459362011458 0.103146229223901 0.23320843459846 0.0290734820328358 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.842192194910501 0.572799496089656 2.59010044090956 0.74837828597931 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.282069464836057 0.125565322803783 0.224099388441021 0.0428067518360053 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.151667877385155 0.0575826742963974 0.0588396504037244 0.010998770835624 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10449190622905 0.0477200773901107 0.025874296764732 0.0104004800172376 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.817507905802072 0.556745442015485 2.5257689953853 0.714156133346708 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.271516030366686 0.118467876131425 0.212765984259595 0.0367334834047295 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.139371760896618 0.0563868140088726 0.0531433732085831 0.00762601159269517 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0946754697838867 0.0578292920336051 0.0251128078488058 0.0125697265592931 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.32623267106653 2.0016485701773 25.280661488758 8.02890023587305 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.06917614207751 0.735462077868801 4.53438821071464 1.26645073893045 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.64402269931322 0.353073134295804 1.41299584964817 0.323391142398778 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.443074231602636 0.200169390408132 0.599780623809347 0.108294586222742 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.3446934029773 1.06633656374064 7.46623224142041 2.4049986236327 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.454601668058767 0.241858350111081 0.636111544819504 0.149826762973023 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.249497724031913 0.10408299785812 0.171271460682174 0.0321655483870208 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.172259636350434 0.0734497177037855 0.077885640559005 0.0205751889588481 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.29193743381702 1.01421720948111 7.05756242405493 2.20899081211345 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.424996557484613 0.222481616482512 0.564086601826258 0.124996513776528 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.226032803111503 0.0954666116228885 0.144601530959101 0.0221559233030952 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.156176167607504 0.0813395747068499 0.0699240755882623 0.0264610028484174 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0013512391465992 0.000389717416769237 2.93304882396482E-06 3.97239653215059E-07 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00393322000960694 0.00118657279235123 2.8415774289652E-05 3.35157895123155E-06 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00807694755048627 0.00248212403068749 0.00012306990252294 1.44098191769073E-05 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0133274261484153 0.00424422394650943 0.00033245093266236 4.90765627469593E-05 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00177618388170105 0.000463187709951224 3.21599321477317E-06 4.66484156325512E-07 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00649805178625395 0.0020177896476494 4.37295959624245E-05 9.58167765310957E-06 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0138496025800593 0.00452949903494025 0.00019775426178621 4.77435999199269E-05 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.024861721015704 0.0135391160849708 0.000671676747312193 0.000715011265348709 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00285968008986636 0.00189557198273193 1.14451068004044E-05 1.71025542140569E-05 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00841510364883474 0.00402303528011901 0.00014346925281516 6.13665941046568E-05 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0183306782130832 0.00776420228150374 0.000744220508474964 0.00020593540389786 NURBSSource NURBSSource 19 195 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0307978270210289 0.0135883273431228 0.0021590049917205 0.000615332165293602 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0508583413646153 0.0156898718343493 0.0065971121354467 0.000616789985824011 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0220681918170727 0.00655672157909119 0.00118739599179951 0.000105658910981361 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0144817043180964 0.00435349593373605 0.000482095481564195 4.50659226552602E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0151000554644906 0.00492240286963265 0.000478742203207562 6.08398845646916E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0337620673742673 0.00829767307452191 0.00286507581605315 0.0001835912483546 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0115101285112522 0.00309312869583236 0.000212773182603794 2.19549487383104E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0148015347820838 0.00466595234866653 0.000233011916455734 5.13474137748773E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0249610527073427 0.0135851078706678 0.000684053401346697 0.000721078429688178 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0299796945594571 0.00712579206400247 0.00218249131312198 0.000157350807757336 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0119268609662388 0.00459745676222432 0.00033486603449108 7.47539647819918E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.018726180003212 0.00787474462475551 0.000800465254266988 0.000210502113529262 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0309167372350163 0.0136485913857082 0.00219420739812227 0.000623476428610008 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.101555347694294 0.0314755629130525 0.0266197711382517 0.00243573821092896 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0436050753205294 0.0129047026727318 0.00473654942091052 0.000412376426316073 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0259302668443634 0.00759037734836956 0.00160674261806039 0.000139112187014212 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0205065809117277 0.00636565557461277 0.000942966616844006 9.81886407483905E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0674779143456404 0.0166291230076685 0.0117020348229263 0.00073996782066337 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0200144155323386 0.00508018581219631 0.00080044201958771 6.10259291779558E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169824207228321 0.00506476016227933 0.000340657200357472 5.93375355913736E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0254922884700431 0.0136820934924114 0.000723642778380414 0.000731532854349792 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0596675712601247 0.0139530874882185 0.00895535146824738 0.000552490034355251 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.019444340096944 0.00584494519213422 0.000926523474863117 0.000112718420698361 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0199870907446815 0.00814262068599634 0.000953790249584597 0.000222464285117387 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0312618485873381 0.0137603937822258 0.00227246751730357 0.000636300633103393 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.201968479054746 0.0641274281820233 0.106941634651284 0.00977577552725389 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0868294633689078 0.0256790416729054 0.0190548521567133 0.00162469919712083 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0501281531823076 0.0145308239767568 0.00617442056924355 0.000516767119131757 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0348074625911661 0.0102352758636005 0.00285945241478132 0.000253653842158533 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134754691894624 0.0335567600506018 0.0474036856783105 0.00293403723201979 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0385718825031845 0.00960548333415421 0.00336535881335474 0.000225791493558801 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.02304938172376 0.00636947841226139 0.000804443152632342 9.33722986766132E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0274961591977302 0.0140170949942263 0.000887243560147792 0.000762744862208364 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119024350620881 0.0279297741216494 0.0364229953529348 0.00208325484162232 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0363129633555271 0.00929870765409595 0.00332410554906368 0.00025941145204071 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0248792562407153 0.00903877706845907 0.00157096731555426 0.000266326831153938 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0325015846919257 0.0141594112099525 0.00254909898570243 0.000674786460999324 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.575083902331011 0.223570708977794 0.922615393145086 0.10781860391465 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.257867565667881 0.0788323128714758 0.171799224113897 0.0146484337437892 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.148051074817589 0.043124268865228 0.0553104160726849 0.00452180019553695 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0982310184824098 0.0284633245482628 0.0238444718485356 0.00197125811344611 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.391590123905304 0.114229355955511 0.414049569869026 0.032216545186298 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.11443292961358 0.0284386762238703 0.0323119172675253 0.00203107243842537 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0559745571745747 0.0142543183554638 0.00660651780302117 0.000493330528651034 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0411564575851723 0.0170469974599816 0.00278382478096651 0.00101406412456459 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.35062524872488 0.0899181049067508 0.325734183417019 0.0201562131483813 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.105716022986257 0.0255363024855258 0.0290765479307844 0.00173760169332256 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.056852491528762 0.0152495542783155 0.00835584780971728 0.000691543315119627 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0448311406044426 0.0169072439251504 0.00539758230067624 0.000963919995016486 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.889855891780815 0.438944163714739 2.40104261382133 0.387268498391767 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.422112589417875 0.138775900349793 0.469516150981078 0.043746799707482 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.245034605415385 0.0729035636117449 0.153225972069398 0.0126401546281244 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.16231889185633 0.0474255853688317 0.0660224411282662 0.00545085525589348 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.619086713321226 0.226364092489783 1.08826004755668 0.124761337859507 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.190469074605087 0.048106215811014 0.0913297373778981 0.00577251000157169 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0915966112889666 0.0230886449627551 0.0191143471036623 0.00132675877006753 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0599178693912899 0.0216763057249738 0.00698880420817963 0.00150691472817447 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.561185214858333 0.174020075358188 0.866429299743461 0.0740635663392431 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.174935755035148 0.0428180720839383 0.0806193987498811 0.00467371142960458 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0918742920206219 0.0233492994619806 0.0219896232153419 0.00150707206996207 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0642402593018227 0.0212032107711804 0.0112909748665942 0.00149314788950414 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.155382722256636 0.052798418640091 0.0649400936972039 0.00696193408057594 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0669917198584875 0.020734626426267 0.0117110782236838 0.00110435799951908 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0390232711346685 0.011620071258882 0.00383662772311636 0.000347838311085869 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0279425980105863 0.00873258377131252 0.00184928296987195 0.000192029650054487 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.108322731551766 0.0263231269738714 0.0313029148282677 0.00198083498824363 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0305364315986221 0.00765980623635805 0.00209652120564714 0.000149877107353803 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0201011783948886 0.00587016963593429 0.000546476138452679 8.29660575406575E-05 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.026027408828869 0.0139684956722501 0.000762715128706957 0.000748105139709159 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0945727715007841 0.0225857843484829 0.0233502278411308 0.00151154192987738 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0289481419862113 0.00783432063876423 0.00215546366225937 0.000210448915196519 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.022339596445378 0.00847938691243033 0.0012275600872829 0.000241981777428462 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0316174381250489 0.013646016188383 0.00238684934147054 0.000617288517641822 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.305966059615414 0.110433670287152 0.256762917034644 0.0295146198761385 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133601077335149 0.0417009269849494 0.0471232642138911 0.00443133613421611 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0768478246064465 0.0229706987308917 0.0152492528643798 0.00136174176098621 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.051731366555936 0.0156789595778389 0.00666903115693409 0.000622576462072222 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21475054364096 0.0544430415456762 0.12469038264722 0.00829998214508187 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0598948100717313 0.0148227834137894 0.00883924210792025 0.000581858087136487 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0314915233078797 0.00867315286871143 0.00179523732283226 0.000185542990078983 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0297924752005082 0.0148476898682152 0.00114092106274464 0.000817467275115995 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.188408515947086 0.0457858561837216 0.0941193471177122 0.00593815586532637 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0562682243960416 0.0142392065158373 0.0083551778342664 0.000642090714668012 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0325303516290944 0.0104581876161588 0.00272990427008083 0.000356945072074272 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0347201511495142 0.0141454904128806 0.00308117694319025 0.000655858428531812 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.582558350758305 0.249954287331027 0.981445787231373 0.145693746084323 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.264933224140853 0.0857660571956526 0.187617821668525 0.0184131642188672 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152515985320155 0.0461987653657807 0.0611112270028604 0.00547102603198239 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101153533731908 0.030413261421469 0.0263049798997428 0.00236541272970847 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.415895464462393 0.122756691198809 0.479156577608426 0.0427903432281201 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.119161874139225 0.0296262879321843 0.0366932557799238 0.00235670475903279 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0579612181939046 0.015404191631523 0.00740745658960207 0.000612907478176309 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0414640237915625 0.0178151154664474 0.00289083801120926 0.00107414913519675 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.3694901613012 0.0990405794256662 0.368139071727632 0.0270490146351928 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.111336375208474 0.0280167782114936 0.0332954024161769 0.00234291675958494 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576519739890173 0.0160086940117218 0.00881575741600741 0.000805578793732284 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0473757294282074 0.0162265876975597 0.00607827227249819 0.000838387946199728 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.49098498910951 1.02939291132616 7.99165224537656 2.03116223777418 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.734985664874655 0.316910486369831 1.55159867337188 0.242640680588093 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.442545443511752 0.152477328585401 0.529291501277398 0.0591409892923281 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.297100876008238 0.0942940501302151 0.233409884019283 0.0225879251800167 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.0778611618752 0.547565009780408 3.82833378515488 0.74194264727617 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.353158531744739 0.0984592837748059 0.336128460687005 0.0260059865454104 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.171880900281627 0.0454310515443176 0.0745944604377114 0.00537349350429107 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10673342488721 0.0353028954967091 0.0261617178982928 0.00373547415822679 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.971116015868776 0.433111966582081 2.93255329687149 0.460492031902524 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.324162323551304 0.0920933355431842 0.291549114792736 0.0244309695316017 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.164496547803004 0.0439759874040426 0.0742883890879128 0.00560120111393732 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117839773293874 0.0323342141180391 0.0394561281615889 0.00295726220524364 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.35758651004635 1.8967692107524 22.0856609734924 6.36905514094562 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.13089066782833 0.620527017055108 4.02099408817293 0.86018533753335 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.700375225064856 0.287944069908002 1.38246435135943 0.207968906805719 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.480221491190957 0.169573935620612 0.620936831191465 0.0734792558669756 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.66566056464052 1.08682027727662 10.4078244694253 2.61009298737893 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.574621556338419 0.19743861787394 0.929943093608512 0.109117972307094 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.28907408521234 0.0819340725291558 0.218226552172144 0.0172599425323735 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.179524953562582 0.0580410387145002 0.0799559557195308 0.0098562377802806 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.47995124835482 0.876360734513445 7.80646142962243 1.65016908219311 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.519543966468839 0.177131424317899 0.781330715846666 0.0906204578952036 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.269055365027246 0.0785034059328554 0.204263302056886 0.0170259447394559 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.192746800473352 0.0529722418817927 0.108071982311955 0.0075616168573589 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00175430772271373 0.000994680715988323 8.66374130647165E-07 4.25301431668215E-06 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00523674608834697 0.00267849460434724 8.16263003536635E-06 3.14892536015867E-05 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0107366592090983 0.00535387521889081 3.45536374812643E-05 0.000126527704561606 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0174107597177876 0.00842784544740192 0.000110008580928654 0.000303267271040286 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00288328953864679 0.00228705949991829 3.03777393676233E-06 2.14619556237688E-05 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00950089499631669 0.00868006879570798 4.25611459509186E-05 0.000310988173438232 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0197617266334832 0.0185889249513382 0.000194390559117156 0.0014280831609419 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0340847051682422 0.0306006782429408 0.00082726233073013 0.00378232141770386 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00324646913827692 0.00168947743986281 1.43652992348764E-05 1.03449537173381E-05 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00956446685586049 0.00521625576541994 4.36111589285994E-05 9.77437235310172E-05 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0215589957149459 0.0111826141981696 0.000177716427485655 0.000451315167842382 NURBSSource NURBSSource 19 196 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0356713069422964 0.019050017957061 0.000373146932732978 0.00132340868767128 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.046066388288201 0.03366095195097 0.00540042248473038 0.00314122528836116 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0196216148772471 0.0142980302939395 0.000794991356837368 0.000639070848252736 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0142501884847136 0.00915780301030828 0.000227994171309909 0.000330914228818798 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0178662445348444 0.00936170381676254 0.000185215358346092 0.000381280886748509 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.026916208724728 0.0176188236993427 0.00174603728080541 0.000910377493408026 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0111745988089255 0.00922950744931109 0.000131255027791466 0.000376598250610655 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0197873404568331 0.0186583895264252 0.00021281851484806 0.00144783520416182 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0339775848158818 0.030635752762952 0.000830613747524046 0.00379564058495634 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0230829238660046 0.0187375122577076 0.00129105481850439 0.000975309190827353 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0113292097438448 0.00727650397089747 0.000122415605118582 0.000189019573886771 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0215184594203395 0.0114285864290689 0.000196840726851025 0.000473115948367022 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0356025007141682 0.0191566658774023 0.000382347088780447 0.00133613759338371 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0920526975182464 0.0672642238022366 0.0221480516573322 0.012280454668084 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0384345950463362 0.0283435399032951 0.00344443243014049 0.00234781165094859 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.023422820317515 0.0163519927784224 0.000927415805089928 0.00091368373247946 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0207205937589556 0.0127513301446816 0.000428330199802299 0.000645706259256846 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0536219281627763 0.0350943261708036 0.00725889828488728 0.00343271652052637 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0169902902753104 0.0124071401075865 0.000448261812624713 0.000633699859849943 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0200925741031068 0.0187403839420398 0.000271616129413462 0.00148797955599838 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0339519244747128 0.0306996056086251 0.000850137180947185 0.00382066230509021 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0457848916783919 0.0373146603465137 0.00532476561926176 0.00378527085555319 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0163739930775407 0.0119211318090297 0.000393944572681448 0.000461556062262745 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0219814704463895 0.0120371246347406 0.000256676502891857 0.000531581962304324 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0355581592549729 0.0193391046527862 0.000409540866786819 0.00136204721935395 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.183921787204483 0.134549788979523 0.091135340876843 0.0479333117129988 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0764113193041104 0.0566035287195637 0.0145434950228299 0.00896776785941664 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0439518107315965 0.0317380467011752 0.00409098939462802 0.00309756205695307 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0318821343791262 0.0217802605403581 0.00157167627413827 0.00164127899614407 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107111103837633 0.0701115293416856 0.0297793885960916 0.0132545448221771 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0306017215218542 0.0214131797235322 0.00189333274086776 0.00162206183766027 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0224908041911702 0.0195160163394917 0.000520912943223679 0.00167317163919077 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0342044125478204 0.0308780487741516 0.000938654610048602 0.00390164344400413 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0913899961501457 0.0744815193712243 0.0218783183692709 0.0147997597157183 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0288831971978865 0.0223544761199829 0.0016411282000492 0.0014965223238177 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.024403431872165 0.0147261110351624 0.000506935738300707 0.000780972586161313 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0358120620372348 0.0198791501330141 0.000518155093571666 0.00145050409634915 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.54650738539061 0.40807579785461 0.87988762361506 0.415333290602024 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.228454158527022 0.169762313039986 0.139976118269654 0.0764151875379518 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.129195783840652 0.094491047234662 0.0414664035965737 0.0249116454495264 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.08543177357534 0.0617500599129068 0.0162650286155104 0.0112806702601979 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.319868842495532 0.211591033053466 0.276790727583168 0.114751723231123 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0884625936212357 0.0610306942972075 0.0190665009262587 0.0111096643289921 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0460048009976581 0.0327786604028459 0.00385606507654622 0.00415991660925385 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0401200857121789 0.0336332428122526 0.00201237227434051 0.00481021208497893 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.273692244331066 0.223638441488163 0.206711415549698 0.127449002176677 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0830759709749166 0.0653832613250226 0.016710069860434 0.0118915038205339 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0471454511123642 0.0329618893967618 0.00381264625797526 0.00337767861266422 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.042716383241202 0.02636535354517 0.00173898082598523 0.00245376630776431 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.897585495000548 0.692179610749333 2.54990614326438 1.14537542249936 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.379699406216833 0.283552363876756 0.403090905888432 0.207185596206907 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.214776123537775 0.157409038894281 0.119981765119072 0.0668668481889807 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.140967853783967 0.102436664569261 0.0479731162245841 0.0296372586884515 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.5287415374798 0.356883666960603 0.7806864876861 0.315945856629059 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.147007890799394 0.101295650229953 0.0549718750953227 0.0292469888368023 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0733062663763175 0.0506443550185339 0.0114159329707709 0.0088856987941116 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0531958118206644 0.0414637123513202 0.00450577336484579 0.00696428477049513 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.454420377397728 0.374434198072245 0.592894043622271 0.344601885955388 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138015649735534 0.108555281350071 0.0484660999561203 0.0318939208385084 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0742368785443476 0.0533079171768723 0.0113758782356087 0.0083043827568502 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0562059552588634 0.0366958411701067 0.00450405286377831 0.00441925749513097 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.147923856156506 0.100873326298638 0.0585852735519318 0.0283875061790961 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0611094015527996 0.0425258129800372 0.00931163440138216 0.00532944887293388 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0353399176220943 0.0243500279521945 0.00259281766986787 0.00193711914689138 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0268592527887484 0.0175462211938548 0.00103315563093074 0.00113886837757187 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0881262056943414 0.054257052936798 0.0203048465288363 0.00834028286312696 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0250376762439969 0.0171190946040675 0.0012507092575443 0.00111364944412663 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0213857010055577 0.0191828173803747 0.000408546437396246 0.00160201038659171 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0340228071056442 0.0308993358806403 0.000894988124001356 0.00390154756639993 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0743104160410488 0.0583856805153737 0.014476834837978 0.00948730046209885 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0239511816368306 0.0173020369291776 0.00108370962031457 0.000951973172306532 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0232770188007378 0.0135835200364939 0.000421442889040031 0.000678825283282884 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0356216648817001 0.0196711803791832 0.000480695100253425 0.00143379383352622 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.295059272699629 0.20273817727916 0.24112079414049 0.111215969789005 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122012056823606 0.0849616433494649 0.038746025039764 0.0206189786364974 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0690179225764021 0.04793117327626 0.01129431553973 0.00698316413682706 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0469292263565713 0.0321890294018239 0.00433959489333313 0.00342871582689089 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.176017227183343 0.108594820984434 0.0829302348113568 0.032380672304967 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0481210605282044 0.0318741853590742 0.00541712730717754 0.0033744474440228 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0285211305592024 0.0226128492071595 0.00114144817252853 0.00221550279924353 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0348538055586863 0.0315334219730296 0.00113294245201452 0.00414740450712586 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.148523959335308 0.11677138677783 0.0594761566017746 0.0371018934584692 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0450424477641781 0.0336386690147707 0.00464961923286002 0.00338499540173484 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0303258350508199 0.019607355066597 0.00120521587757802 0.00134660438389384 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0369551130152455 0.0213597678176988 0.000801738670743339 0.00170704647035366 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.583451850428347 0.412992154990417 1.00097252294969 0.440689993488722 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.243353987934212 0.170362781947734 0.160124037450546 0.0805227184564319 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1371297560695 0.095452974409853 0.0478996256193969 0.0264613276962326 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0904312917714199 0.0627879621802089 0.0189862294497417 0.012067843951029 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.350539847263093 0.218625905889826 0.338231051685778 0.126549613736133 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0954838410042859 0.0626127248209679 0.0230819663033827 0.0118453603555164 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0481071129942457 0.0350957635759513 0.00453785017725506 0.00473045497018643 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0405639367341435 0.0346337582256306 0.00219424075262379 0.00513205375859878 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.296577837156087 0.234131620522285 0.246213315199471 0.144229654869801 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0888032418122496 0.0667709161562171 0.0198851151053577 0.0128315493989657 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.050717968571918 0.0348830251755996 0.00485303235631477 0.0039119485736359 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0440838168175581 0.027463355079017 0.00216462144825052 0.0027554207516977 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.65869538068583 1.346515236034 9.6237268020267 4.11211551670212 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.715101733061751 0.522822066693792 1.52173921779972 0.714564556138473 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.407001786408218 0.287715291701427 0.458498420208173 0.227111516394891 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.266773932295003 0.186915011329749 0.187611389325088 0.099074020670226 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01575973893109 0.695383220062778 3.12584059106364 1.16608742995053 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.287726267974602 0.188433022767635 0.224224587272627 0.0975212648868493 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.137552853903026 0.0954977421492589 0.04718249348122 0.0286504682698888 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0880104417746411 0.0664222542811553 0.016641607040092 0.0161630620315685 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.873189943999578 0.719574726254182 2.40416851970298 1.24359045089772 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.266278273213027 0.200035312349638 0.195082621888241 0.109628207690368 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.143411737336308 0.100388541257892 0.050878572939029 0.0294514573983661 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0988613813410131 0.0642876691379618 0.0207272167577941 0.0130501625113325 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.68597441574123 2.3531600109378 27.6921345665859 11.6141551490018 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.16368665807357 0.89205591724893 4.31505069338682 1.99127847473055 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.668235029227238 0.483528939278169 1.29630367527529 0.621273562274882 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.439919479484857 0.31148710294117 0.532788942034187 0.266883067868955 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.64056749622748 1.227142296647 8.92950343402119 3.38594260510582 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.484458705113497 0.320575154001098 0.658485524014183 0.270890613620156 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.232535673643937 0.159493852293133 0.142844546259897 0.075013431788011 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.143449003168451 0.105524560468589 0.0505764354088273 0.0370825179180468 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.42563580429356 1.22816676197176 7.04351615316197 3.40263796917036 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.444415730693235 0.334364967826208 0.568969134996613 0.29661368608356 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.238308400040123 0.166631129798519 0.15132652356874 0.0782001174215951 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.162130486661505 0.104917382556252 0.0644181637974548 0.0324797468169616 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000616766566356206 0.00105086214326875 2.29044095015606E-07 6.35210562761612E-06 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00194670598369853 0.00222365509098007 1.55745013502246E-06 3.24057995769266E-05 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0040216783227033 0.00435006449932165 6.45372539403501E-06 0.000124120540600538 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00717220226827122 0.00818701823381223 2.15105700770442E-05 0.000432550056562392 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00123226450600051 0.00849729390559159 5.69583940818467E-06 0.000435714857161239 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00531099188912366 0.0353118248529778 0.000110776640808542 0.00733902416017155 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0115325484796722 0.0704280207501538 0.000542374058771481 0.0291228563750438 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0204955695918092 0.108516697409114 0.00167153291660215 0.0686924831004979 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00135357281603706 0.00185986954364712 6.13526892072301E-07 6.3269744174515E-06 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00777375867236987 0.00917436874402436 1.73848326565708E-05 0.000212962912301876 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150573508292837 0.018964221220707 5.55861987569301E-05 0.000849233689461148 NURBSSource NURBSSource 19 197 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227167393746184 0.030022427605152 0.000117213740679365 0.0020769076028476 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0138730843981653 0.0631791291873984 0.000482965502273592 0.0112520904418174 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00595744955517967 0.0267428889322296 6.76502791761974E-05 0.00209616303433724 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00488651418472272 0.0158102491517268 2.26909309701299E-05 0.000817614600036666 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00728274467656124 0.0135124423405142 2.89714914916673E-05 0.000755451161422721 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00740125712080631 0.040150764278789 0.000158192478576941 0.00499276182314159 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00567216926725227 0.0382754649557325 0.000126626606969464 0.00789361724036704 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0116240457816627 0.0707871234710761 0.000550382573547349 0.0291553545250648 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0205463660078494 0.108340567841898 0.00168011443714122 0.0684118409514668 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00666696959959332 0.0411785238562149 0.000102396028935729 0.00436490088613669 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00784440522740011 0.0158336075659013 2.42733440200276E-05 0.000551827384468204 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150691550750886 0.0202902738085783 5.6910505406802E-05 0.00094270565464165 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227175646386326 0.030463565254653 0.000116524502241628 0.00212874474110624 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0278050301924934 0.126312489627169 0.00200371404812547 0.0446088455872166 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0115091331817228 0.0534719050570377 0.000293938145741408 0.00815608929538946 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00721352479808631 0.0305481831495348 7.76556895626668E-05 0.00280270678378136 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00788940903398823 0.022022813346998 4.96791196470215E-05 0.0016454356333588 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0146861025068324 0.0789864631876562 0.000602854648195216 0.0178478095379021 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00681295886456319 0.0445611717003184 0.000173988585405142 0.00944546722849691 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0117665833774182 0.0720597508441914 0.000564690523889592 0.0296218429473862 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206051925311573 0.108590211835364 0.0016916169743703 0.0684774447312873 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.013143449908868 0.082261845624003 0.000438534964885539 0.017592103709417 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0084546119075614 0.026055092273528 4.61482143562845E-05 0.00157292425919053 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150811914014193 0.0234723401675922 6.19019065935211E-05 0.00118988294403877 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.022727039933482 0.0314466054899233 0.000117512021633723 0.00224383452850993 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.057213709787056 0.250811321233687 0.00928359114974968 0.172275990761105 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0228191160864471 0.107003987343377 0.0012571952968122 0.0321713440369856 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0130192969601569 0.0607848795096878 0.000331162457142172 0.0106203636618423 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0103795342705951 0.0407234563412965 0.000138267754046508 0.00504746842886367 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0294730195566497 0.157327020234061 0.00241765458152073 0.067900964307608 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0101474531738678 0.0608258374249216 0.000351112501019388 0.0148420139738755 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0122654537688078 0.0765419599045526 0.00061551115381411 0.0315480878479404 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0207761849292927 0.10966679591303 0.0017271431219937 0.0690874954858965 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.026280501363112 0.164239610336358 0.00187195382513148 0.0702822928474249 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0108588233366211 0.0482769152048323 0.000141979384615088 0.00576421764321261 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0152299858938279 0.032093051794206 8.26671168557765E-05 0.00216331570740133 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227470429397207 0.0349611111640858 0.000123971958999849 0.00266732318415188 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.229552640243187 0.69361302168936 0.239403748283959 1.1796887848602 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0735100572316049 0.315176250267909 0.0172174529458144 0.266534395403771 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.038038551113146 0.181762806965033 0.00350129652163629 0.0920815195316842 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0253981275808924 0.119235793266816 0.00130763615144 0.0403193333562991 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101864253638349 0.457677601125474 0.0376914679961045 0.536091983979922 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0263916472525232 0.14236683267662 0.00210834821127164 0.0656156222475062 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.017799232950012 0.106508435649299 0.00118437484751752 0.0494499067109577 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0226319507792589 0.121847302383857 0.00207996474899494 0.0781979530788341 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0953118042689522 0.474303501635947 0.0366630219226977 0.55566971063702 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0256236965554572 0.140141746795806 0.00142020829035727 0.0510896619714098 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0186647393327405 0.0735414880649125 0.000323830028306828 0.0127466606641762 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0232788675573166 0.0571332966309146 0.000210918089306285 0.00704229806727911 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.471040463065851 1.07635588445012 1.11801115552994 2.69025513166122 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13825204093813 0.514690354863357 0.0791538867172883 0.685018404910403 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0667540576883217 0.302327455156739 0.0131384151438876 0.249053173811711 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0418457723321162 0.200037803590307 0.00400188423041646 0.112115300805859 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.212029155458799 0.728358703846178 0.208653680053655 1.28090116967752 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0443025468803354 0.233019916244177 0.00590364965091289 0.164248024331319 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0255942213707196 0.145970985038249 0.00228908106539703 0.0824219156506579 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0265200930520557 0.141885352021129 0.00280924893268161 0.0962759746413624 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.204701977202277 0.751456903259192 0.211601710260039 1.31863646067903 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0425136713382031 0.233593610552739 0.00454435397993892 0.1424554836816 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0249049700022665 0.119307044615412 0.000878361679654376 0.0349597625666382 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0250714244808836 0.0841749023768659 0.000403046401661359 0.0160699785422905 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0465137037384492 0.212709264341352 0.0062824965183834 0.131537133494333 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0183939845821928 0.089787525739435 0.000842288793684363 0.0239425550987607 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0106942274485317 0.0509409617157293 0.000219893725895101 0.00784457710988515 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00931605654213534 0.0347706615276201 9.41848902333945E-05 0.00384836836417754 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0234518737016087 0.134478738449221 0.00158855206262412 0.0522852967508276 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00858348858553928 0.0554044229854159 0.000262058845007909 0.0129178793785534 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0119499722144405 0.0755350477170699 0.000581628473463781 0.0312282841328861 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.020544781076958 0.110331004494053 0.00168702629057208 0.069847284971521 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0209817175025014 0.139059085997722 0.00120221511733291 0.053117094784193 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00973556743458913 0.0399507471039785 9.72410150566668E-05 0.00390944484739491 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150675131826921 0.0295801382728363 7.61520733684416E-05 0.00177542130351318 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0226171231245069 0.0341232072823923 0.000127677813786284 0.00251747834774929 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.108130344799269 0.410416271682242 0.0490807071156171 0.458297916448919 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0374566535350465 0.179172035997565 0.00382768123056818 0.0934956233341639 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0205057247670842 0.101471996109219 0.000975654213926179 0.0304234885769822 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0145411491756785 0.0672164853300013 0.000358171059717997 0.0136318739439957 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0496366054470963 0.265540382372472 0.0082112781586773 0.195090919486417 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0147675676477702 0.0859789631512604 0.000703638903660324 0.0267902155240797 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0133196185700334 0.085655630763659 0.000711864784189262 0.036486234353019 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.020853317623399 0.114432672800669 0.00175288333421336 0.0727995219400533 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0444221647995185 0.275253468334797 0.00657734476741484 0.204332312373234 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0150499202730764 0.0765222374874526 0.000376906741547108 0.0151869925945461 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0156733669928699 0.0457145883365832 0.000135860315167266 0.0045096296189838 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.022586065308617 0.0429383625123167 0.000153692985725783 0.00372087961233116 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.28012597111047 0.755812213248784 0.416842290170381 1.4339780245489 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0838604797007019 0.349006542309957 0.0269096369971544 0.337763627071909 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0418119902190525 0.201244970087592 0.00470276255451225 0.117174543286967 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0270201492361461 0.132776323151237 0.00160706629485067 0.0518807609549227 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.120348756581632 0.509781110066305 0.0723373792355158 0.670339295613286 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0286661089000097 0.155164047803646 0.00251401154785371 0.0782020158807099 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0183504287350541 0.113874683435609 0.00126376711573298 0.0553921522087448 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.022508459788786 0.127705376051309 0.00206374450761579 0.0839429795539535 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.112949075842155 0.525827529424867 0.0678804681322595 0.697210428873167 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0276533365167228 0.150655452370341 0.00169738765598594 0.0604744819518839 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0193019543325987 0.0810159925299528 0.000393075105030433 0.0156572166524256 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230111441517685 0.0638261726956814 0.00025449184889757 0.00848889252071918 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22899887553835 1.89107138117547 8.41710985427195 8.33796221125223 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.368745725394653 0.924744031020832 0.747608235096424 2.12808348032581 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.161569696581235 0.563256896055223 0.123029786172161 0.845293160648566 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0908109954470721 0.382951198116561 0.0299451272968438 0.410152351565623 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.594969050028147 1.30768732277948 2.07338872666818 3.92549012171475 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101907011546791 0.448648249329814 0.0485324885279928 0.559390169645148 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0496001277473511 0.263433793390621 0.00917075045281871 0.233189316168721 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.040449292182754 0.218596874409913 0.00653977475846638 0.190851118002341 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.597524704734927 1.32525060636872 2.1655039375578 3.87362664847108 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0935285622720109 0.436593364586481 0.0328217272502647 0.493649935784838 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0446549969542916 0.228719078183263 0.00410958977912708 0.136078061888371 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0326325617576756 0.159201491501264 0.00147254219217253 0.0610156168347104 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.26473155909035 2.91248077866071 28.096550318562 19.7746973193747 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.725667501762767 1.38991429920733 2.92719714987272 4.63409071750854 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.32346910163576 0.862411606920407 0.55044303162757 1.89265692868107 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.177311531779839 0.597021857848483 0.144201887570771 0.955381059388857 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24446119883636 1.98871334828792 8.69335942319324 8.88220808268518 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.2193423837933 0.719794285263066 0.26772589327844 1.34573933502544 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0964692095284249 0.426988306521632 0.0468519124101147 0.551101876082708 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0722118547565108 0.328587671738084 0.0255393464141147 0.3765244730189 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.22543590139539 2.01746278135977 8.83495603927291 8.72506704719496 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.191669896621367 0.688066332062817 0.1789123586768 1.17109449827166 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0771696923248382 0.37417227802114 0.0161266913718108 0.366089912846954 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0494254876645545 0.259683605803623 0.0047657530885727 0.169020768322453 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000246740658130724 0.00144989972234208 1.61449067771415E-07 1.07851126391449E-05 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000309273555406975 0.00194971698513034 2.74039290279052E-07 1.39609809731799E-05 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000677115441987358 0.00411848517585821 1.37554759419707E-06 5.65729640239582E-05 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00113730932048351 0.00723443208267459 3.8177645533459E-06 0.000166764007841319 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000629140267341382 0.00932582921256183 4.68402355201348E-07 0.000436931097560829 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00230527483792583 0.0381235704149641 6.87615515957873E-06 0.00729959515989226 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00456382197106635 0.0782986326800359 2.90723894092411E-05 0.0307206653025358 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00709444349385231 0.12277773426659 7.76702652051967E-05 0.0753340215140713 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00139467800128757 0.00161795167446806 1.69588516417744E-06 1.19496164532339E-05 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00270822185707529 0.00866571413671878 1.26451887161998E-05 9.62931866340385E-05 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00520153692628918 0.0208018135096755 4.84425147212989E-05 0.000535369022089797 NURBSSource NURBSSource 19 198 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00786600987648495 0.0367700696159722 0.000105679195050594 0.00176970217954494 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0157820329269889 0.0797396379974349 0.000700552128089258 0.0171071506799445 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00640147910861665 0.0341251710768867 0.000113608696709688 0.00310391703438447 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00358469865537466 0.0201630926198546 3.56573801267985E-05 0.00110235658074891 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0025201301758699 0.0151028675670687 1.79713812367567E-05 0.000643848162314287 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00766770294781296 0.0533501918527991 0.000155867070614608 0.00852705540608587 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00304738666248734 0.0404051182443469 1.66020973258592E-05 0.00788607933649059 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00466433086219843 0.0784384882940331 3.23106344902374E-05 0.0305935256778897 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00712647773709991 0.122843242378101 7.95752327177776E-05 0.0751629491546817 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00689157804675481 0.0546805898494977 0.000115330379609825 0.00822102962192658 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00360987234328693 0.01834725970421 2.49084281691794E-05 0.000676765500685444 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0053416140770809 0.0224035056045563 5.07745588191819E-05 0.000712038285965353 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00787910817695352 0.0371455563851152 0.000105059654659657 0.00188430502041022 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0317754715582665 0.159247871640037 0.00290523408096779 0.0675960018963889 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0127884890943634 0.0681506419289618 0.000456108458069202 0.0122474531620522 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00702321916964921 0.0394616019439835 0.000137025451747222 0.00413845905057314 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00464170319908244 0.0271575193156201 6.00248621131176E-05 0.0019968039474949 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0153875395936203 0.105284467166443 0.000648244320834844 0.0313908267457585 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00470628369861971 0.0473635938449565 4.86093871706031E-05 0.0100806561891233 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00501255707211018 0.0790811970514178 4.09599305935516E-05 0.0308700647038548 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00721358766239838 0.123039586423934 8.39829806628532E-05 0.0751802477695832 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.013541597906056 0.109266107263935 0.000483550753592944 0.0324579198429085 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00533354050780306 0.0332765989181444 6.23288622254851E-05 0.0025265319840416 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00577409727222111 0.0264321215021608 6.01692217496965E-05 0.00114548722915702 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00799543361256318 0.0382011358893516 0.000107719465731267 0.00210578533579688 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0652702492535403 0.316763172891826 0.0128920904714194 0.264289055343913 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.025675322187922 0.136132091992074 0.00186161896984791 0.0485267062684102 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0139895414168535 0.0784505384908867 0.000544940246232558 0.0161620549276796 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00904268700808295 0.0524580347124813 0.000227037101713131 0.00729209203979812 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.030986942652485 0.209481134363954 0.00272970248305942 0.120576272086883 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00864325732915005 0.0704898395751775 0.000187746168554672 0.0191087987969599 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00621025310036269 0.0821349632488049 7.54932518280008E-05 0.0327196123623035 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00762203080646801 0.123749450950398 0.000100968361152211 0.0757426840865797 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0271431102517105 0.218308483368037 0.00206441320129107 0.12859610905544 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00934663424456037 0.064049391941582 0.000216836744438054 0.0101607328882129 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00712570009465947 0.038514699473772 9.96708218027608E-05 0.00289828815594012 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0085095465955663 0.0423993723213269 0.000122866124272117 0.00289047764826161 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.265247860101085 0.878565405191722 0.28222911335458 1.86911999722026 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0812587084246315 0.402961752244871 0.0201372857282575 0.416687783315098 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0424499330927017 0.233542621141404 0.005134870693262 0.1412465908498 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0270483443730007 0.154590449869846 0.00204209702710893 0.0622207066859157 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.102102189343205 0.617526026006052 0.03558771450056 1.00707592894732 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0257939385946434 0.188893782807075 0.00183809793726613 0.108536354033962 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0137397403203468 0.118687915742626 0.000485676605102596 0.0581285700609172 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0112647640736515 0.134088564715416 0.000289152757032264 0.0858983725239228 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0913338612985182 0.645328891410219 0.0293172762992073 1.09511229555083 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0264698895544217 0.188972485234022 0.00194846975511665 0.0931945576991997 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0151586046884243 0.0982982051529452 0.000558344085847152 0.0229465335647393 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0124790341722176 0.0742078869065197 0.000311875515645465 0.0113097104395481 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.571690366563548 1.33592941365108 1.48466562088181 4.04092228291439 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.153131596923698 0.653800785893723 0.0820916169972846 1.06882544698542 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0730428569116458 0.386881836532602 0.0158944348767424 0.384452943272769 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0455777429787682 0.256719866911061 0.00589734673574816 0.170881390676869 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.228507058890231 0.972914499420883 0.239310988291909 2.33157195240902 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0436333135411647 0.312026669448405 0.00549806364537902 0.279350614824267 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0222883138670916 0.17321385002491 0.0013950598215138 0.1092747261351 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0164295132620591 0.158465761574646 0.00070702887313468 0.111530784546372 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.221139949451557 1.00611392176512 0.241523665936834 2.47723739827414 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0442333107977556 0.314997378475793 0.00567357601130058 0.260336961810226 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0241666463483279 0.160573308169211 0.00152758684999122 0.0643560673858477 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0178270917435504 0.113395547408372 0.00071720689023075 0.0290234174169347 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0483597967704403 0.241809044032035 0.00722477294886633 0.153993757244917 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.019116454810078 0.103584983111169 0.00105237752272165 0.0283250959509931 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0104586960913175 0.0587467131586761 0.000310307431081583 0.00919879844173998 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00678400318256969 0.0392538687394763 0.000131647903017221 0.00414859194669249 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0229669666846145 0.154513369876902 0.00150473929285244 0.0683886399345239 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00663603198764993 0.0586338534893278 0.000101753983106074 0.0144023318294317 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00545674934992253 0.0810573886561119 5.29036383219503E-05 0.032590207409512 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00717993103880465 0.123726907609109 8.81545760304463E-05 0.0763421710175803 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0196623247815416 0.164669145800024 0.00109865223759421 0.0740888275087662 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00707853248525745 0.0484294603877807 0.000120720297751638 0.00562429308643283 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00647639651120755 0.031431724668101 8.05473924745878E-05 0.00168012119678526 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00824686976280426 0.0405832076001456 0.000121342027890412 0.00231692660524863 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106631695621576 0.47401089382429 0.0402452340206717 0.572701790512162 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0387079521050594 0.206748294113866 0.00443641063976716 0.111826148361618 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209480051685439 0.117311062380564 0.00125556868926359 0.0363418043071688 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0134631318581154 0.0774707052533402 0.000516151283127237 0.0159494763942941 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0466147703991062 0.308118442437593 0.00649310297674118 0.265449717121615 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.012777802962946 0.0981319517208247 0.000420412369545184 0.0343646801765069 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0079525948372631 0.0903925290420335 0.00013365451878471 0.0387328212031638 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00799498643312105 0.125975396645665 0.000126431376403917 0.0790815785436622 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0398674432523501 0.328515899645292 0.00480467958593114 0.292597564770173 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0132052131871619 0.0954127968855668 0.000459289525382188 0.0230936775223818 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00898366186827852 0.0520827054778189 0.000175833259950541 0.00551605254096542 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.009431237162751 0.0492350035712502 0.00016742253120644 0.00394184128719859 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.276040781120985 0.883859446955215 0.354796771434217 1.84242055449908 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0820838535407425 0.408318841476029 0.0221695278421369 0.427749206006143 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0424563256833064 0.233887535409264 0.00531490896717165 0.143445820240783 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0270257591432905 0.154464974901649 0.00209989490934634 0.0628980177269485 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.103067233397766 0.606802302099135 0.0384537811688977 1.00189165090913 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0255069986584626 0.184795702658136 0.00180410247851968 0.108949921447107 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0141806266827287 0.123272426245093 0.000494935033362112 0.0635197254976247 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0113657848286481 0.137846553538135 0.000301830850680729 0.0917760163002713 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0916089789795273 0.643368332002198 0.0330206931926714 1.09391947266048 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0260089475239382 0.189984610422569 0.00189207774798104 0.0939414367597367 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150237490647752 0.0977254877300585 0.000567267063166121 0.0220202759317044 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.012540424537915 0.075419311638574 0.000343464994359348 0.0110185512965316 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.34770174019375 2.15522079218219 9.4902171562886 9.16998910358819 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.376802155890812 1.09530830039266 0.696101918418069 2.71757999594734 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155939236808433 0.672178924178878 0.0969446850046145 1.1179327149644 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0876783439667438 0.456034545615291 0.0250065061982936 0.532930435850595 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.644108818805066 1.51516344238879 2.29888087150087 5.21307772737662 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0856475590060228 0.547366674349665 0.026628311064881 0.857833338114967 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0423044773834954 0.305107476796007 0.0054082215459826 0.312043399113811 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0304408362458785 0.245321228094554 0.00279612884340527 0.237090057173613 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.63410656100957 1.56943422708633 2.34795550069005 5.33048962355582 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0838668256199943 0.5632020121282 0.0236534006272913 0.817033785947368 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0428051825134316 0.287519748302937 0.0052547167589605 0.206135980755914 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0294530449063359 0.202925195835464 0.00237972076889038 0.0950949075246372 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.56170074159941 3.35289769052309 34.2698796614263 21.2330887627537 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.800852124738999 1.65619779462498 3.29208778846297 5.64664306860433 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.331148527071999 1.04649695986101 0.526679725043976 2.4986877084675 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.172701769198357 0.730859380665711 0.121564852118741 1.29839300754877 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.39877186658961 2.2992201623985 11.2177007328516 11.2669533084317 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.206321393114145 0.885558541373583 0.24734256857671 2.02279570395979 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0834540853918677 0.501209296443171 0.0297953562057595 0.779968860172259 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.05540061482231 0.385580378601837 0.0113231172423036 0.528539288855425 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.34166638684569 2.35558317796393 10.4577617840989 11.3297194671207 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.183170090575157 0.899850112309976 0.157475944245596 1.92940010505488 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0739097707239032 0.487087436343837 0.0170093609007368 0.58598985310986 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0489624014073489 0.342618783391474 0.00717833939473257 0.27812102924834 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000928509238754646 0.0014018708913133 1.35037117324462E-07 8.59224652973665E-07 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00282228192378755 0.00458359723759355 1.58037547484896E-06 9.20640151478881E-06 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00584245516458291 0.00940544210469822 7.18125269892717E-06 3.84237200588323E-05 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00934824648586263 0.0154728004329926 3.09936357950124E-05 0.000215921076344214 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0023266294095557 0.00158028538830995 9.39122865734507E-07 1.15780344196805E-05 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00881454235861551 0.00818131706862817 1.5332202503492E-05 0.00031457775500402 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0186991770301475 0.018440609370944 7.13187364736857E-05 0.00159400631510347 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0293766663626184 0.0399130978896249 0.000309209027898091 0.00787692310492697 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00223213557035129 0.00359214817658518 2.01174989380609E-05 7.22329225216868E-06 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00285442591892155 0.0132661522010236 6.66909823616036E-06 0.000101761280407085 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00779619596212715 0.0287853515623374 3.70170397058253E-05 0.000520538760926699 NURBSSource NURBSSource 19 199 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0139274326151988 0.0489539560866077 0.000137047193527037 0.00173378241865539 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0339791637308273 0.0251636011313599 0.00283861753170889 0.00154004303263118 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0141889177182166 0.0112575007751368 0.000424517910355628 0.000226521222803196 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00921959435089451 0.0106724549776425 0.000109593235879372 9.63802250907365E-05 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0100993660446714 0.0157573433253117 7.20175979588944E-05 0.000238308645398986 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0198816999732019 0.0145428725414383 0.000910692660211168 0.000595812756087992 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00952096091486718 0.00915239076960647 6.09301549299906E-05 0.00037598967717948 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0186891282480639 0.0186234029149169 7.98239544564989E-05 0.00161425092325795 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0294295388956573 0.0398987456453257 0.000313801599402037 0.0078818540742178 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0160223222380967 0.0154185938553951 0.000709685188884885 0.000524501912605445 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00571152205232863 0.013935382404559 5.62827379865867E-05 0.000133323458009543 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00809677079724761 0.0289385911590255 4.75522198349936E-05 0.0005289646756679 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0139527765768255 0.0489806809751297 0.000140974412399496 0.00174086667351001 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0679550725758828 0.050266797219912 0.0115633774248072 0.00620968941784501 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.028143791045342 0.0214274225558197 0.00182092194885365 0.000978837245042228 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0163431588785573 0.0145333501921706 0.000482290866627972 0.000287691098849483 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0131097060268737 0.0168112341224972 0.000207058461858361 0.000316578061991692 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0396832912731551 0.0289581108541548 0.00381883866668517 0.00227006056558342 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0131296579395003 0.0115069075612737 0.000216750497096321 0.000545235106146188 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0187137536587017 0.0189669174086922 0.000107591368231895 0.00166052894080233 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0295035084200326 0.0399386862330191 0.000325877946168542 0.00790207164948918 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0318513183420001 0.0302845667797448 0.00269812402116096 0.00220610069471237 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0103050420111777 0.0154679845689199 0.000224854461951515 0.00022992742588016 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00908932384330715 0.0292369199098063 8.10051962621705E-05 0.000552499903074105 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0141420710034831 0.049091453557061 0.000155437779206192 0.00175516353945098 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.135610753822024 0.100735535356957 0.047024894142056 0.0246620210966508 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0562013002044001 0.0422398419310528 0.00759368261599349 0.00413860307500776 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0315383917343919 0.0252121385713366 0.00213038008148626 0.00117228584898557 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0219803252456011 0.0210700415637232 0.000834559766942553 0.000660619948283122 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0793195382234763 0.0578700696854296 0.0157436184309771 0.00881111510424875 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.023079154175278 0.0184411593668398 0.000953660060013759 0.00119385038497512 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0196187644737631 0.0200736906104367 0.000222383545935828 0.00182801400692152 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0296921200223543 0.0401412283265806 0.000372426668379196 0.00798236478294825 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0636074959887565 0.0602416509083677 0.0106150825043495 0.00904746240166248 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0199184771038514 0.0213782536815074 0.000940265408180232 0.00065802370223543 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127277163680986 0.0301413730624439 0.00023228397222805 0.000645379988564662 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0150898568596604 0.0494547540312982 0.000217706011065509 0.00180510706010038 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.399618134012116 0.308420281746179 0.434470428996366 0.216110512829643 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.168160109609572 0.126404196300085 0.0710221805765692 0.0384131028330025 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0938341769742377 0.0719460424991086 0.02105737799745 0.0117411673945647 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0619948580490202 0.0496869109606291 0.0085567358295809 0.0050693914109982 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.236589097090959 0.174738593396305 0.147277021334691 0.0759492279856994 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0662533987457204 0.0507185472565679 0.00998610875450463 0.00745657814934487 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338556973067266 0.0306618669784936 0.00168870283350679 0.00364500153020163 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0326041427103831 0.0424950431903629 0.000875530480818067 0.00882339468730802 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.190141968962703 0.18069093737839 0.0968467512668451 0.0806332703710066 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0592801077596785 0.0537831694276034 0.00898326078689286 0.00606760850625864 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0318666873760762 0.0378583228555119 0.00217820342589782 0.00167724616997646 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0244928508691266 0.051979319713564 0.00101540087279213 0.00229087106202604 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.65506263334062 0.525782305196541 1.2206425659903 0.593833176342133 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.278626900628715 0.211762542347087 0.199564153849158 0.106637475466901 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.15613958939196 0.119425185672582 0.0599261494342424 0.033444399495866 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.102808639571457 0.0807619272238512 0.0247871784212064 0.014472982534281 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.390517071811021 0.295612075688182 0.414431232430507 0.208056873294124 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110035908031108 0.0837366160918495 0.0289683821367644 0.0193949115756026 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0524147483378336 0.0455114205158424 0.00509407512220241 0.00711607994361479 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0400930978705574 0.0478711183879727 0.00197719621054522 0.0106044086209163 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.315588011006287 0.302610519526609 0.27412291028197 0.219445450846993 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0986717474429619 0.0879812928782471 0.0254633541658774 0.0174578605453925 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0523230592940658 0.0512374820522641 0.00641056504315302 0.00395981713644698 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.037193182400247 0.0564108405688499 0.00286610555366726 0.00325298281953309 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.108244470350227 0.0848143730203143 0.0314501563512609 0.0186935501264032 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0448055362601004 0.0348619413669061 0.00506621807749617 0.002999539799596 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0254171068931054 0.0211025883218861 0.00142080600518932 0.000830539095686212 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0181959993301329 0.0195657308829534 0.000559263497780664 0.000562132062504774 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0631215227506685 0.0492488836167532 0.0103365595335859 0.00652668977397733 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0186662205035086 0.0161569743114793 0.00060136528875416 0.000967576064617638 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0192686091421665 0.0200887664939759 0.000177743222979797 0.00181820055165021 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0295232877597731 0.0404819234849314 0.000359185845442679 0.00808526045500175 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0502378513700476 0.0510353124635876 0.00695089578459675 0.00656403493152584 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0161252090960059 0.0186501708836024 0.000618149366918222 0.000469916832201581 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0112220933851587 0.0293941047017289 0.000164120944835161 0.00060118914353047 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0147848759604439 0.0491267936550481 0.000188530207755346 0.00176331611480535 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.214917053420815 0.17074747789752 0.127581193641478 0.0736613217594822 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0893706865756746 0.0697375240001378 0.0208110767898194 0.0124781273621551 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0502390796944818 0.0397036381830924 0.00612168412138733 0.00358100970581323 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.033527395576119 0.0293790129048603 0.0024082051887743 0.00168731235000575 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.125911260874682 0.0989463127257136 0.0423503244546102 0.0255485388151945 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0350613740565567 0.0286382750587449 0.00267223638132216 0.0026995933308578 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0229103369915167 0.0235353281719952 0.000522426781392368 0.00235769047608969 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0300499387426158 0.0413703206226214 0.000492802332877396 0.00843107509113124 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.100220589553337 0.102138788370317 0.0277465699815178 0.026495386335343 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0319397611028995 0.030253758153595 0.00258924249655582 0.00174953890281241 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0182884052981703 0.0313161715805516 0.000617435016099293 0.000854159198022401 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0175491613537598 0.0497882720790872 0.00036395355917386 0.00187402227125419 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.423673118507548 0.347658327789627 0.51659464379821 0.290305705155604 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178042464859348 0.140090485784299 0.0848163647905995 0.0506015058715173 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.100036642125876 0.0786464213663965 0.0255799567477016 0.0152727152492913 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.065703004923409 0.0534000654367083 0.0103671442045367 0.00660016942586421 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.249929776876622 0.199852948502256 0.172599272338778 0.100291370571883 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0692665315859209 0.0552150189021562 0.011623887150841 0.00922033579767951 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0356825334227585 0.0336301339678848 0.00211985321355144 0.00433321677215903 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0334333752235512 0.0447709788927397 0.00103622416786937 0.00964804191525338 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.199973871694119 0.205047311571857 0.112722726822588 0.104752574493336 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0637010046044722 0.0571933287397938 0.010683445166211 0.00741117276037128 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0342376272412893 0.0388067652458016 0.00264706993010228 0.00193917481424464 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0261873822353726 0.0521356255072809 0.00117194957570275 0.00234328835847645 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22030291227654 1.10217184034682 4.73630584224361 2.56440820408529 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.524412695306941 0.430546920545798 0.775979097315511 0.457253908202226 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.297400154905439 0.238323443206648 0.238404939890617 0.144176292708511 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.195323625348979 0.156877971245528 0.0996779072748011 0.0624715426466603 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.737568984300562 0.626253127825989 1.61694849795313 0.893306435589282 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.208624870064999 0.166053465984238 0.114886360961581 0.0769599806645487 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0992345071675244 0.0861999633794626 0.0231868230761733 0.0236301073392891 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0643385919923564 0.0713175842507376 0.00818690707838162 0.020947047845017 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.600141088205561 0.62241022659865 1.081639870963 0.889131079829768 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.190858085087998 0.169347863112322 0.100454112597415 0.070313697352913 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.101081645902994 0.0883368557738552 0.02675579961419 0.015527285959022 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0698316071198272 0.0742078903614835 0.0117063460930415 0.00790981159471416 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.00335000211388 1.89029854303377 13.5034185500276 6.99096296414791 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.858836181133653 0.731088570022722 2.1527614170396 1.2685269719012 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.489867311706573 0.40128497355158 0.664057999634081 0.402425869125625 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.323050195877394 0.261698341803723 0.280219911727433 0.174533471939644 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.21611651904233 1.08180859399773 4.66535335451356 2.49459008589776 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.351791654858198 0.281626168049068 0.338395752855612 0.215624927191402 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.167996241430995 0.143030410352428 0.0716352133532665 0.0617537571170595 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103698493093922 0.108331386334373 0.0259125549695825 0.042245391951393 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.00595521630267 1.04465663451545 3.18106393069088 2.34300770983751 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.316855530398777 0.282752457522979 0.285459581971715 0.193602943498369 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.169044352162811 0.142595304853079 0.0784749203312316 0.0437082546998851 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117214904254251 0.107897601113365 0.0357108254435381 0.0202482176383651 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0166105638670125 0.0104162534561347 0.000803936252503361 0.000601246875900207 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0141280398142693 0.00548217105502711 0.000549799573712959 0.000137749853535078 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0181237262710553 0.00609207929450512 0.00102239705176415 0.000162564571420752 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0263572103420025 0.00910771744894271 0.00227130264812898 0.000376159927082824 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0292844342468691 0.0153786135988259 0.00247506243687727 0.00100351184114746 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.035557560822956 0.0114448045036618 0.00222178004888626 0.000436722086822829 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0602947983344939 0.0127650299405955 0.00379017927098149 0.000518969083342664 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.099407469156186 0.0185764551960511 0.00813956087662561 0.00121335141143255 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0115580008111439 0.00667270607416971 0.00059823246198024 0.000172224232072159 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0167708678500518 0.00624850476256054 0.0009855476372779 0.000168218159528299 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0328014658849852 0.0126954601460192 0.00359106385148614 0.000721818874646438 NURBSSource NURBSSource 20 200 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0543339122577651 0.0201730094247297 0.00961970511097738 0.00179126338463436 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0521370098508456 0.0424605089273922 0.00692424816957799 0.00546843017113681 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0242249622101954 0.0172673935597032 0.00158307995373054 0.000932066503410608 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0210073015979862 0.0109583894077409 0.00134409534880202 0.000427160575920567 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0271122156597046 0.0109571191742303 0.00240641067001024 0.000496009814065351 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0435800323002315 0.0310523562020976 0.00510816364170766 0.00302686689167465 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0370588958233799 0.0142030499048189 0.00247164234879675 0.000640131984409548 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0604537158017916 0.0135011876629108 0.00387314563008931 0.000572203407923173 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0994290147404536 0.0187662050841886 0.00820398554200372 0.00122475905711216 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0296662508316323 0.021567963350047 0.00320355054207329 0.00124493611987033 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0184410467396151 0.00883476714439698 0.00121516861351786 0.000307837118711307 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.033327774445908 0.0134015905040557 0.00371291569235872 0.000796338625715613 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0545691205402415 0.0204715420252648 0.00971955062636047 0.0018420876165168 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.100233867520031 0.0816538573037192 0.0270043919422311 0.0187290028911908 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0423372914635897 0.0330188370527577 0.00484306114417661 0.00312208203379436 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0282679413207906 0.0189832123701473 0.00233720504850511 0.00113734380841301 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0297854493779186 0.0149432572178896 0.00282992495845486 0.000824376113213451 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0716086559723589 0.0544044676605818 0.0136104282220817 0.00866956942628676 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0406221424590425 0.0197785629713561 0.00315166106235684 0.00120639538314852 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0608804480267746 0.0151825196673111 0.00406705691014268 0.000719226522475066 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0995036654203787 0.0193120140746951 0.00832763692560591 0.00128004106106765 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0552340261761871 0.0407665162410643 0.0101886512807959 0.00433207423480766 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0221869550701506 0.0139156379997292 0.00178632269097096 0.000675929750772544 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0341713000609278 0.0146857782955971 0.00392893407289595 0.000939677982507129 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0548950273637088 0.0210573681464081 0.00986482428246352 0.00193579822619641 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.199065257613425 0.161815871497281 0.111077803947505 0.0693437668568465 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0819455477987207 0.0652548592592716 0.0182982370895513 0.011567667619399 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0479881032938871 0.0363686746729298 0.00645658630218518 0.00381463693294222 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.038879186873846 0.0250051320145459 0.00454806229365536 0.00203121621438711 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134936597057178 0.104037615674029 0.049261816537475 0.0304706524027982 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0524105926085518 0.0339261471346751 0.00593123570211571 0.00342016777022191 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0622804125996219 0.0203121326316539 0.00479122835024516 0.00128550815038042 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0998652743049422 0.0212107496018209 0.00875407991304909 0.00151209358010245 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107338950364758 0.0799896415598261 0.0371346267367025 0.0164171046856998 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0338298182591596 0.0254401681910511 0.00401537779100471 0.00202218995102542 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0369905554739855 0.0184363371270391 0.00467149396739742 0.00141946163786932 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0558525561735756 0.0228388849397846 0.0102986108412818 0.00223571110780558 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.590486259432557 0.489034078952337 1.05418259009432 0.568201447321121 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.242607785983532 0.19558269217625 0.164866803063501 0.0981164327003414 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.137087330150072 0.107626117441794 0.0516954067121609 0.0308675742173768 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0915995082640857 0.0699583008150607 0.0232972586340263 0.0137924952781879 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.392397492252304 0.309703155906078 0.445414109311488 0.253387806163687 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.123229789920081 0.0956970662283423 0.0394304599912419 0.0263251991474888 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0824280019933812 0.0483201356918274 0.012756365942457 0.00708981968553496 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103512851096371 0.0350133951806459 0.012884937402796 0.0039414139173608 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.315236208294995 0.239126663130354 0.322388935829774 0.138414359363202 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0910417975069205 0.0734728988847033 0.0270459601308532 0.0150002708039454 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0587718340199115 0.0404254381646001 0.0118177152046951 0.00571869012978212 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0642411973626827 0.0355905281555538 0.0140027549409102 0.00487331944267013 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.969058411069656 0.82675635769181 3.0074639648196 1.50685951057684 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.401435118175186 0.327321480124467 0.460822859003564 0.26763069421767 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.226343605271957 0.179630291747213 0.142350804376106 0.0840470115811626 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.148980207503583 0.116227371056704 0.0609822391314233 0.0366842315651764 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.641297570938399 0.524502206795508 1.25294949396512 0.683916241816457 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.199754308379432 0.159152006034813 0.11167571644507 0.0718545067314509 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.115874349127639 0.0787241788910493 0.0305057967855259 0.0184892405009059 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.115013089802346 0.0533911537719398 0.0211371378596201 0.00881983844780684 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.518224885279257 0.402024994998263 0.894170752422782 0.372783947173402 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.149821553257001 0.12190693523721 0.0733456878327441 0.039730061176234 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0871940519037845 0.0649808357034767 0.0258603828021566 0.0136046972406983 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0786923531428692 0.0522675767093978 0.0213204093425592 0.0096379359943314 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.164618945401289 0.126448829069174 0.0766867326760431 0.0452120427777706 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0669120767617239 0.0515890299382688 0.0122649284653149 0.00767927569718482 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0411679632104603 0.0292961827955702 0.0046174143308982 0.00262166585656998 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0361148992372649 0.0211250533540118 0.00379082839865734 0.00153163445312673 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107684300406992 0.0830046942329147 0.0322862698350365 0.0207002361163954 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0458225237599538 0.0290889556847047 0.00416132443244043 0.00262114380490085 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0617394005720259 0.0185981181709004 0.00435969978955154 0.00111180787123127 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0998790845490279 0.0206498718152191 0.00840816581593947 0.00150149512352795 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0842173398783476 0.065017837248553 0.0221543496399238 0.011028252667184 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0291758940011691 0.0202026484030504 0.00294426799167652 0.0013060467954598 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.035544083005841 0.0165377449180361 0.00420442116320536 0.00109391573081691 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0552747233531245 0.0220569726398753 0.00998191814501979 0.00205824538355367 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.325007348255556 0.253751220936928 0.314429277469345 0.172081263398276 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131909651611261 0.10242850237178 0.0489560003737668 0.0292478673492975 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0755742724475222 0.0570667720023097 0.0158130890335584 0.0094150850064582 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0553782772440512 0.0384151777944144 0.00851580280834991 0.00457564040653306 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.208209704557655 0.163597704778561 0.126059382001535 0.0777851486108221 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0688478595967911 0.0541518583974616 0.0109258343958147 0.00885997299804867 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0663989743088281 0.0294463185263765 0.00612310306463743 0.00275590553105544 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10115433650044 0.0252815055827599 0.00935061726412089 0.00224285916419851 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.166755864729907 0.128632664291299 0.0868851977148481 0.0424082900277759 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0508975821174601 0.0388843589966852 0.00871655110913584 0.00440597813175695 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.042030392582624 0.0248875141693316 0.00594761336220936 0.00219184902134907 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0575169058654377 0.0259335863134969 0.0109525236555424 0.00272734323391167 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.63374068392558 0.52006669742223 1.27729256966101 0.661544431880609 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.262734619848528 0.204530329358895 0.198608218996127 0.113271277512321 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.148068171725761 0.113083390465216 0.0615749516127776 0.0356707082253535 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100060088974571 0.0741609817448352 0.027751117145495 0.0159951890728173 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.409545468631445 0.327493784783163 0.512333393685603 0.298836590621551 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.125304826935658 0.105361768266836 0.0411846621678389 0.0330730704799366 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0852599944130382 0.0539495294938761 0.0137319206908709 0.00907068104220705 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10629325389224 0.0388055384221613 0.0133550727711194 0.00506814020977111 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.333535488317298 0.256811397750011 0.357764170975163 0.163442011940466 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.098061288465776 0.0772430156379077 0.0318560572341443 0.0161705507395066 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0622997838240632 0.0447698735286457 0.013091780057817 0.00624669668146385 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0660329969918703 0.0372965142636343 0.0149061697763191 0.00519196082987982 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.80526615365509 1.67641500761199 11.9234667077312 5.78572398347375 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.757754380840868 0.630998082865023 1.76031878042151 0.98744366954643 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.432853486621395 0.340134659338698 0.540945451507189 0.304833225714564 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.2847637263543 0.219300268647436 0.227857812141176 0.130461950956027 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.17415964668369 1.0381707343835 4.65336863041941 2.63434493752448 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.361899411347598 0.316215054750569 0.393348824844133 0.286969166378909 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.197252617089568 0.158076611786251 0.10369439577685 0.0755841135764993 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16346636287834 0.103994687136205 0.0561767275944522 0.0338946571939942 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.941777349131917 0.800302650038846 3.1641707107947 1.34851260708837 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.287647738111313 0.232326614179112 0.283857200056244 0.132036169176742 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.164043564869757 0.130086725385349 0.0907157362230113 0.0451331690516984 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.126093397505934 0.0941671220025948 0.0536800527035506 0.0268903468095637 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.97271089689826 2.89576876465877 34.2304142730938 16.3410105996907 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.21937477225112 1.07406548592322 4.7989054878942 2.70074270752712 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.701078227911908 0.575531118465857 1.45410556647539 0.838960312199504 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.463338898165021 0.366538431245862 0.610304061304797 0.353909361174938 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.95547531928985 1.8123063759729 14.1075473352628 7.67273456919964 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.60941632663449 0.540907772200197 1.22341425233303 0.827652615375085 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.326034772975575 0.269729507000653 0.321584157456957 0.223016637576423 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.247541518301245 0.174390876286923 0.163901929964975 0.0968830826753218 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.56191868254435 1.39083284122779 9.42065244046387 3.84610039949806 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.483235316573986 0.393096166719699 0.862340416148419 0.358692474376074 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.274344229067224 0.219949778137406 0.284366189832209 0.122094748727298 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.203263876159016 0.158548732778099 0.159547710290395 0.0705352458998225 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0414735728386412 0.0207658089130245 0.00384224414806487 0.00196467481664337 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0141185319790615 0.00717852039789837 0.00034170159836364 0.000206723090597343 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0118062286569591 0.00473447751951043 0.000140790028580995 7.23518374365634E-05 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0141133023526967 0.00471914968619511 9.62207766899081E-05 7.19911907080213E-05 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0368343908443572 0.0234484868172265 0.0031754996225182 0.00246983174789272 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0216483191375313 0.0147735912425844 0.000830583072366186 0.00110257437032904 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0250086421160474 0.0195344862170757 0.00079404822057698 0.00229144261131393 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0383512745931802 0.0355986240443381 0.00144945959996967 0.00826395637472177 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0273355042923837 0.0159806635096719 0.00303837934893449 0.000688864495634611 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0109972362602569 0.012882750778705 0.000321254546766022 0.000299459351403552 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0178084410742668 0.0224132366662755 0.00075755010597872 0.00128697076585999 NURBSSource NURBSSource 20 201 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0322551080744279 0.0445533523116613 0.00253434638830487 0.00665906822681464 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106258133481856 0.057359261527515 0.0258089520055989 0.0113954864341541 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0399757283464465 0.0227483878436956 0.00354666046764635 0.00169828800571875 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0233415127383397 0.0129955721329043 0.00103187360581592 0.000517445755375454 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0185114921517842 0.00914063092822593 0.000408242249781238 0.00025822209134376 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0710149782263633 0.0434092299679726 0.0116741393401967 0.00664537785202438 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0275137980595661 0.0193007298274189 0.00143131011641011 0.00159803399256389 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0264760783891465 0.0205977997033493 0.000913036194381138 0.00241580625734128 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0388382002787913 0.0357958699486532 0.00148117596538189 0.00822857565534875 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0620174001586532 0.0335630866993031 0.0128276146326094 0.00313805716125139 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0192497043784306 0.0152506329562361 0.00095843654073499 0.000469855963672554 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0195109744112446 0.0230949120506871 0.000893393034626304 0.00136358165848345 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0323998653211797 0.0446130330139261 0.00255565800947108 0.00656601913109842 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.188833565395512 0.108981222104979 0.0954423321588165 0.0386455017279664 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0745806748426402 0.0438091452422334 0.0139825938999203 0.00613804364022396 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0418123738993831 0.0247063527262725 0.00401420708521834 0.00188177567747343 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0289234670195029 0.016592360568728 0.00149029715107332 0.000843789596260202 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.123305804061787 0.0740605833487984 0.0384028014977718 0.0174959690984158 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0408863567112576 0.0271130959161785 0.00355691150783549 0.00274421409487355 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0305641580821644 0.0230923258999112 0.0013820321797372 0.00273964631401204 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0403197507225744 0.036512434643562 0.00166292815463339 0.00830465146550744 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.112940468555004 0.0601997882621052 0.0401065763492323 0.0103167914491252 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.031382586636798 0.0211730898360022 0.00265263409038946 0.000986838393614994 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.02340136546816 0.0248925044077271 0.00127959076294999 0.00155249843238688 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0333243634682348 0.0450472758353931 0.00268208018584888 0.00654176905339815 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.355341981542414 0.220653747296339 0.387944346511985 0.149179741505874 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.145244426841601 0.0877257351051206 0.0577528898294683 0.0237277535933511 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0807093399319789 0.0488898197647675 0.016697580926148 0.00731385396934198 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0530815426344794 0.0321804800942031 0.00633630031811031 0.00316831858665506 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.231546737898054 0.14325663578879 0.147503957453586 0.0615858763621635 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0723931647631816 0.0447637714162483 0.0126673229851119 0.00684132267587942 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0423644169170465 0.0305346019633996 0.00344440140179262 0.00393873176626644 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0452425010055848 0.0394624136054312 0.00249533623868275 0.00879788352924953 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.217885380109554 0.118068760126307 0.148174724591866 0.0396598748917549 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0580616098050914 0.0360911338094956 0.00935564966820627 0.00315791263256093 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0348442849331728 0.0306722248521899 0.00287129255526402 0.00229560104454883 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.036952160709784 0.0470897054630094 0.00324429918084665 0.00670143170130771 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.974674934720261 0.720989918704823 3.77905900281508 1.41587387816407 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.421111451627586 0.276520912039788 0.552339807204665 0.214966644498464 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237286879756522 0.1500753164272 0.16045377911576 0.0650251498534092 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.154678100239095 0.096967491730568 0.0635264422713195 0.0276381481780546 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.634403760870131 0.474469821413369 1.33203318903032 0.614743925521331 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.205367579627636 0.128001542984338 0.116626210064047 0.0503742952931537 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.104294991729324 0.0685326170458481 0.0286338200699896 0.0156601568500898 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0796588931406476 0.0596159014830049 0.0131773158042073 0.0144737662642182 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.616878637392087 0.383558140043605 1.3242885876479 0.389359943673962 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.168952251140056 0.103079576751786 0.0829300161841847 0.0274597097143376 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0875138413844471 0.0646634824618771 0.0204928451422169 0.0107612536975501 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0638896848244647 0.0638113665854136 0.00998898169349035 0.010248157098854 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.57451079952377 1.26469089764504 11.0226634783256 4.08159844783468 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.680098369075916 0.477691762766164 1.58301014375842 0.613700320723524 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.388230924190161 0.257147033497264 0.456733174234829 0.182704867636593 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.254842187787805 0.164173476629251 0.182386651958133 0.0763786171935126 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01452735815192 0.833560033475968 3.83571387768874 1.82095216098857 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.333437570293071 0.221697905850402 0.327753892669225 0.145232665475897 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.170678988108315 0.111277398861215 0.0829484123869723 0.0397904494596566 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.121134366606648 0.0869974474880647 0.0372780501799983 0.0265320911601207 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.988132217784163 0.675769340266639 3.75998565719017 1.16317732823871 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.278460359828191 0.173056840273366 0.235919525446135 0.0769607683194588 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.142358155232541 0.102807358446424 0.0580370027315069 0.0280729492787325 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0970238955892591 0.0872130144725617 0.0249154072710036 0.018497334180347 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.259918868621354 0.174936545575871 0.196821429277346 0.0843205753593962 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.110214029599791 0.0677368525504253 0.0331162892525002 0.013634555577394 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0623460907804262 0.0371861864292986 0.00989914873884297 0.0040638827993239 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0416381245886169 0.0245361352404348 0.00374910119838472 0.00178126180153402 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.184514340726146 0.112019877933171 0.101677794315796 0.0365079199342466 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0604395557422315 0.0363564925263562 0.00941395221151745 0.0044131713899032 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0385080449465386 0.0270126484218482 0.00287869379738045 0.00309295502035529 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0432411328711443 0.038298236870197 0.00229646758075023 0.00877447694352549 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.160775103322996 0.0885173778638758 0.0761133449509875 0.0220447626674005 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0464765152550314 0.0302477820714014 0.00584734468368868 0.00224312665236946 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0301641243086212 0.0288885082442699 0.00210837561651166 0.002071408113805 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0358483991534657 0.0471365544528876 0.00305418807976415 0.00730918820277362 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.4910652634504 0.363947325112141 0.813312284144099 0.339013303326793 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.215584308648105 0.136299090475664 0.137555341081392 0.0531184945419544 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122036041465552 0.0739524412209149 0.0414249546439066 0.0157623555613013 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0799328217529151 0.04820351369217 0.0162397596306904 0.0067637215074376 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.350216740165056 0.226551696669013 0.40362295432023 0.141959669609878 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.112140366534283 0.066647200604444 0.0361381681057393 0.0141228357818297 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0623058938858351 0.04000094768555 0.00947243848769064 0.00556524166865958 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0556662344049533 0.0447439023524013 0.00508700371212271 0.0102427710909532 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.310465271671257 0.183589842445279 0.292970620292583 0.093103211085836 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0906261747666279 0.0567750104030744 0.0228058827817537 0.00843528866399555 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0503333567812619 0.0412106193617741 0.00624761650371675 0.00421274429291612 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.045119677001247 0.0531388084726921 0.00473133834315307 0.00870111214987216 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.92308507849891 0.774693980535415 3.42279868341528 1.42457110443102 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.418093126222227 0.282590727167304 0.570143432363416 0.216290397200128 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.240125560537683 0.149466238801864 0.173194013477489 0.0623870100613802 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157321461977914 0.0962203418780872 0.0696358753812503 0.0262860488934197 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.664547032449143 0.479838060425918 1.65283180345659 0.612402453325931 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.217760689322273 0.132590502590513 0.149517257689523 0.0544436738897554 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.114511949399196 0.0706511968551457 0.038253605017968 0.0152644543767808 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0865372937989953 0.0620154200764296 0.0177063051313062 0.0154618664158585 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.592807503875507 0.397768608832006 1.16630918330094 0.419643942660039 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.178558816011107 0.113510050350065 0.0923468882807322 0.0344307182418797 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0933397809008611 0.0703534707328329 0.0233661133800822 0.0131615363297149 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0692097031298516 0.0697760760722976 0.0116487639848934 0.0140210548127963 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.65565194683053 2.57115483446942 34.6901471627941 14.2691078316869 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.14953246832963 0.937530903795962 5.41469751599291 2.14960062287947 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.676973289442597 0.483085304941551 1.62971638051412 0.593177230697384 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.454218051348626 0.299486680094448 0.672299009788693 0.2369723966846 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.88461890254156 1.59328778934366 16.7959231320934 6.96291451794775 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.631816528426281 0.441033588019541 1.56857707950927 0.666144618226008 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.338084867139016 0.211234452273427 0.423652888362224 0.131419678866989 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.233967721145627 0.149890846356682 0.197556812295476 0.0675538815596821 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.63331212111041 1.39943563621362 11.3030417189542 4.66345919682988 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.516199145567422 0.367062559477364 0.90150941402352 0.35166949716843 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.2704416887761 0.206597999882333 0.233200646774483 0.126850814407781 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.180822451905524 0.15915227618178 0.0988801009480365 0.0781894820729004 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.44636416251974 4.56143594128607 101.905267376527 45.0100465167499 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.84121151684458 1.6614863115523 15.3500063061958 6.35248233671808 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.06669512899639 0.859307156938139 4.50659415882888 1.75000861066413 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.720785113099182 0.530122358852668 1.84848579650002 0.69187603210319 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.16459609092358 2.86102723194887 52.5652049168885 25.5275441938059 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.06893816862272 0.830379050528212 5.39534736933055 2.86834958999079 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.584214840424118 0.386459678452013 1.5087744063825 0.460124092060481 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.401391213162825 0.257973679470709 0.717678258812178 0.1983452048862 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.74445740580941 2.57794767733241 36.0956004644188 16.2723670726252 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.858997901759106 0.66356929145567 2.87595026322029 1.16302231004443 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.458844682243414 0.365943335407415 0.788316142988766 0.462809113294816 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.307600535244849 0.266365114538947 0.347142089010744 0.251274286786728 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0149528447975929 0.0337436049314368 0.000393469708576627 0.00695154905267705 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00871111454211442 0.0159896004644967 0.000133062692696575 0.00122636289054451 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00963790949374256 0.0141570505760043 0.000164010323902014 0.000851075984172733 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0141236957838017 0.0162910972820853 0.000314411245752686 0.00103117696856405 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0162082985824418 0.0409929478860973 0.000954841017596848 0.00747162668234014 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0248531014225039 0.0376840598532549 0.00353260170912043 0.0078985366180728 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0452731556120214 0.0567878614161381 0.0118856836510986 0.0190689898961949 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0701049478077589 0.0836280317092659 0.0277270769950145 0.0395806411668444 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00914597806511376 0.0222733898445523 0.000165706863154073 0.00146962091047721 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0156831588220199 0.0218718213719613 0.000423677328610079 0.000839188432351092 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0289459267301306 0.0346192701110888 0.00144881456077153 0.00227231036880399 NURBSSource NURBSSource 20 202 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0448389659660068 0.0513050819484017 0.00337428526650805 0.00533102161208895 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0335841660320198 0.0573682745443339 0.00311876710664448 0.0129314862348816 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0146333071595748 0.0237503189361337 0.000567806049787646 0.00203332411594836 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0114303274120361 0.0169973095467864 0.000290630613724759 0.00105482144495028 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0144480381835331 0.017415680426683 0.000362631169221428 0.00109313600165291 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0238660922130332 0.0504104344263237 0.00216937182102051 0.00956893123387395 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0252303083945748 0.0384792184664912 0.0037089923482443 0.00784551906723442 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0454017052671291 0.0567673246242091 0.0120070759368601 0.0188436083068941 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0701025306698892 0.0835962606516484 0.0278270612067599 0.0393760493823377 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.016087549192914 0.0337117724104898 0.000725540958876545 0.00292416452185315 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0157318737847473 0.0230368931962911 0.000449326374293742 0.00102126839828571 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0288599236846699 0.0352478495094236 0.00142441652433664 0.00240263919889095 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0448297445276091 0.0516678824039323 0.00336260136800242 0.0054247183229664 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0595854168977725 0.0940163157492652 0.0114787932227118 0.0289514434486617 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0247936147424008 0.0374678542174687 0.00187747331912363 0.00444586180988235 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0157075750110094 0.0233197352658225 0.000652991859715514 0.0017714933815576 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0156280298502386 0.0203262304279439 0.000495890652576739 0.00137571799697826 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0387896262888555 0.0692629909318208 0.00575713800998242 0.0160395548263167 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0265492481509038 0.0410910143831391 0.00415799945598855 0.00829081066109709 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.045604209858738 0.0570580373461073 0.0122355183681562 0.0187587227226165 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.070152176013977 0.0836706653718637 0.0280060478130729 0.0392383075447846 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0284515441509069 0.0520017539263966 0.00256569237944968 0.00687359862084933 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0166605817434313 0.0258851492326829 0.000560819533782178 0.00141658801471353 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0287961406879993 0.036452240872143 0.00142789515417267 0.00261652505662398 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0448199338620237 0.0522805835434 0.00336633012307823 0.005562440937212 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.114123749983961 0.173605258040679 0.0458332256389098 0.0881045267656503 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0467964292102904 0.0695357710490025 0.00725783635591968 0.013942896891138 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.027058947725133 0.0397117165836894 0.00218529691220108 0.00466746960794663 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.020656738273257 0.0288232578707072 0.0010489317691175 0.0025492919548097 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0719397874858694 0.11713752546277 0.0200106599041463 0.0413544162265616 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0323470332092537 0.0496346197882645 0.00594634342954344 0.0104765370460761 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0467412953672697 0.0587566130820852 0.0131060261464766 0.0190487866380493 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0704164923505815 0.0841336547550262 0.0286033642826871 0.0391626335392175 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0545073980145604 0.0921507024697874 0.010209609338274 0.0220655177982628 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0216610341489835 0.0350632077849703 0.00107652407108628 0.00289531387307434 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0290830106828449 0.0400448696260465 0.00151899093460708 0.00329685220375885 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0447890399595428 0.0541196300497308 0.00341990558448722 0.00596975083386653 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.330788180262489 0.508631434863304 0.428300462374667 0.653975734679377 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.136069573529596 0.206577935497765 0.0653891539826753 0.112322053961739 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0765129990895738 0.114998985365154 0.0195446905211148 0.0355282426425109 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0507577629535009 0.075709986650429 0.00775317553337944 0.0156038196906555 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.209416282288052 0.334253875029699 0.175572073519371 0.295004314833719 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0699695461490779 0.105955871640095 0.0237185778566787 0.0359242695045103 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0613720095496593 0.0747369491465137 0.0224168298653194 0.0255068320756235 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0772052825842265 0.0901143435573846 0.0352184786228222 0.0415477981113768 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.160697942219887 0.261774769661563 0.0940888251932326 0.174868982526623 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.051217719085459 0.085083570727349 0.0077273026243371 0.0186125632083638 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0374654895817519 0.0641608087117266 0.00311658292048562 0.00969679508098296 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0467181242141321 0.0668858045115248 0.00425742496951085 0.00942146920895775 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.560559407450135 0.835742108858311 1.31342435189517 1.63003827622692 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.22407340986659 0.345480204846358 0.181323437831204 0.304330067860411 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126266887528825 0.191798692825732 0.0549064422869881 0.0963110010528786 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0828835890886261 0.125552057363198 0.022006701706332 0.0416527206498198 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.351071568508843 0.554964605863639 0.516103729148881 0.766702038040641 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.112369749519442 0.170218779710488 0.0583325760957141 0.0863344604827184 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0843450218784438 0.101126538148471 0.0404624376877367 0.0404459052980505 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0901871672566128 0.101185335447392 0.0480997679345027 0.0479987838609487 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.270134564305213 0.430561607937725 0.277283311093781 0.45633781179695 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0827572384169075 0.138550993560278 0.0221827082890726 0.0498614514765706 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0533850925546634 0.0944553976877097 0.00716150361703539 0.0224132083338899 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0533031522662688 0.0850516396652429 0.00619197494380879 0.0160527736800195 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0874283631280275 0.139721256131114 0.0239965845563807 0.059701608733849 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0352205953967282 0.0575561808373961 0.00368969189584605 0.009900673394061 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209940677589772 0.0340683498237039 0.00114865646087804 0.00360709974936601 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0184416284601573 0.0262978716577626 0.000687567004193948 0.00222485692878186 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0573105755502358 0.102292463654495 0.0120171456071006 0.0338156101715659 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0299972663881335 0.0485797507169805 0.00476245608313072 0.0112012743944138 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0468018151052594 0.06034925437626 0.0125505923572127 0.0206765860661253 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0712880027210752 0.085516814229628 0.0283568734400014 0.0408645902142005 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0440955682068653 0.0754297529599284 0.00647630167987958 0.0150327466444298 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.020004410372257 0.0315669451831909 0.000886317829618686 0.00216595615878734 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0295236741162718 0.0378837290982129 0.00168515710789327 0.00276041295813986 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.044980299046743 0.0532081191412948 0.00353261190257775 0.00569291971335815 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1713345755549 0.26654389043324 0.100175297145884 0.201278518079852 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0685569320346298 0.110000135309704 0.0149681256970374 0.0342412326459198 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0388007766548994 0.0627973260600105 0.00439284062334766 0.0114066871599636 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0277348891209482 0.0434461492222225 0.00190366369667837 0.00560325525759393 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112157655905081 0.187204795304138 0.0469112756016423 0.103366592298114 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.042797369634927 0.0691057640776743 0.00888326269068859 0.0194393243092226 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0510337295583753 0.0670411151866677 0.0146582472076253 0.0239575465870055 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0735251565063754 0.0882220128486282 0.0299640668011904 0.0428442733766638 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0864853342716658 0.141238953729071 0.0264245937441337 0.0544735451331771 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0300030230340184 0.0499690580884675 0.00231473597790419 0.00610160737039732 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0321462269253269 0.0448643533923239 0.00221831489978554 0.00406774073061016 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0454501868275144 0.0567913569462421 0.00388550272818065 0.00654190414428011 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.34398943762146 0.520556969690714 0.435736477788291 0.703564850834692 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.135738732114486 0.216480319880794 0.0614160629341276 0.127518588755047 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0756201933756051 0.121994804745753 0.0179739274728939 0.0413241757782362 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0506700699821627 0.0808185910651022 0.00724006376791958 0.0184671002551994 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.228173655570428 0.357495840131243 0.204680019537233 0.342094109175828 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0759248644196348 0.118362879827041 0.0257921051838669 0.0479488648826876 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0658970739032839 0.0844776043058631 0.02327438540917 0.033531171708707 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0817240440859617 0.0959144679912349 0.0362951859267272 0.0476167334373983 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.171421544634861 0.27667316058163 0.107960447474881 0.206085170040673 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.053960216039342 0.0922884464298585 0.00849577213460677 0.0221509159694611 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0425294783770006 0.0638693901067791 0.00431884876907492 0.0092526210169324 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0493162683007382 0.0676759671617436 0.00519646135756245 0.00960940973353544 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14330047243072 1.46086507599945 5.45897052338249 4.66391998117112 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.40567752307514 0.629815440378027 0.597287851998351 1.00145359341341 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.221128962374811 0.357214074559118 0.166141533932992 0.339589653258861 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.144499611038363 0.233886348769907 0.066735623311433 0.149093179704963 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.731223005349812 1.02232646632464 2.44025082135354 2.46777984802113 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.223467641886373 0.328783169594803 0.230181059865851 0.309815561089041 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.156776072462727 0.18655279410505 0.122252442706261 0.122927615432475 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.148372867038232 0.151169219217404 0.109816741600006 0.0933615245202344 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.545262492139792 0.800114966876553 1.24379357112463 1.48697751291182 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.158803819560175 0.267030264258225 0.088594937832391 0.178245121069435 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0994385454463427 0.163431260610909 0.0290792130860872 0.0626379711150936 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0838622557220615 0.133512328869153 0.0205086646029965 0.0401241632233652 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.0295158574934 2.36914147806221 17.8516028831533 11.5352907528358 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.699354218576921 1.01739935264112 1.87783465237733 2.46159438077632 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.369805324333591 0.583578147769352 0.486454835192922 0.875571441252684 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.239448849738268 0.38371547729519 0.191639032587203 0.395248887943094 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.32011263095096 1.66348755903879 8.4125443663747 6.31317950014172 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.390460769881349 0.537875839084767 0.778246895641221 0.782832400789812 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.263551678382536 0.299641841105824 0.367204506578615 0.281662349431815 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.234118248312001 0.224483098792028 0.279684331934802 0.178752720934421 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.990187101981283 1.31770496452014 4.33032197494025 3.68884766349687 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.271806908364258 0.451187704884238 0.287704061160765 0.477915279689672 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.161779496040067 0.270661928970635 0.0861387389768516 0.168791055141606 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.127258654401301 0.213852846630685 0.0550880749213432 0.104369128764991 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.012665255618162 0.00598702497363868 0.00033868589900545 0.000137766461230824 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00574753744422591 0.00389287781694144 4.61764813488388E-05 5.79001658607952E-05 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00608479922821426 0.00445941311559829 3.56979386849787E-05 7.6786706985224E-05 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0084894458971259 0.0059047765827221 5.94954865416863E-05 0.000132236849507771 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0166261918498495 0.00815852646339547 0.000683839686897087 0.000240545246832239 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00982309238632293 0.00940426325817882 0.000267378947923804 0.00029731531811606 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.010078566166005 0.0132716598678646 0.000338573752638666 0.000595792442910109 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0120186543431206 0.0202623169762335 0.000524393975977384 0.00137809400738302 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00754366258251317 0.00301664850583863 0.000178194939474064 3.32156004840069E-05 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00566378783868584 0.00606832789948396 5.44309590535528E-05 0.000145573431302773 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0107904722089958 0.0125358231593692 0.000188074594976033 0.000640639237664671 NURBSSource NURBSSource 20 203 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0177653704477093 0.021327617546966 0.000489933491415595 0.00185832424173024 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0514141487432491 0.0160289148442568 0.00618677513884187 0.000764665171541314 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.020879868051564 0.00720276207094372 0.000987313904839182 0.000163875392597133 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0124744153375837 0.00563138451802029 0.000296652280263695 0.000110394956849187 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0109051777775696 0.00627633142577624 0.000159260048005437 0.000146407594609084 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0366739339741842 0.0125033739041116 0.00318045488384103 0.000492461553430666 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0136741758775009 0.0098793823500836 0.000517057428673203 0.000326383032288943 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0112036161877113 0.0133536249392528 0.000409162431267723 0.000605335014644099 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0123783125894554 0.0202510304560529 0.000556747022346579 0.00138110898532594 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0289264386767126 0.00836941138906971 0.00224578604355965 0.0002029721211939 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0095072447965164 0.00659135098452021 0.000179629112140257 0.000158634256095863 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0114130016729244 0.0126692132797977 0.000211295264854886 0.000641065031323887 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0179735632135309 0.0213937152573592 0.000501841834390808 0.00185492133827211 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0984913238207043 0.0308131157041451 0.0246759912725038 0.00265793413935008 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0402553770312766 0.0125706507306765 0.0040206110157338 0.000458984454096697 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0227524192693194 0.00807754986575843 0.00117036777466481 0.00020523664356444 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0162998094090705 0.00728153074229024 0.000486393034125271 0.000187759365035966 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0668808020250894 0.0204623990197671 0.0112010596744406 0.00121107340047752 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0217017942530363 0.0110306045084244 0.00130609123099738 0.000397372043213765 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0139443329383109 0.0135373437693764 0.000614586179266772 0.000624527436314214 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.01354918557727 0.0201815371417284 0.000651098631320482 0.00138256172250996 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0552990743582476 0.0159421541036027 0.00827877220906495 0.000690001823374136 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0158105271081431 0.007698579687776 0.000561445985830334 0.000198264639560941 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0130438443624276 0.012863119029874 0.000280666810974175 0.000645550474881762 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0184712512462131 0.0214456356427513 0.000530877017730126 0.00184943248586792 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190007701045476 0.0650381827413351 0.0981892674247584 0.0113853028361474 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.079249809864741 0.0243478580447475 0.0164391560873365 0.00162361339170729 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0443413863179584 0.0139585837829357 0.00485591343514879 0.000564926359579357 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0294530430513913 0.0103957488124941 0.00192186583247379 0.000347196984008655 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.127486142281601 0.039894013225504 0.0432516811271052 0.0042834593978957 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0398829576424398 0.0149049102092696 0.00449098944737159 0.000675412467860083 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.021479042842018 0.0144884797006507 0.00141625013990568 0.000704918558480027 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0173295938120224 0.0203261176240443 0.00100812521590824 0.00141738584087563 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.108306360985758 0.0319994363996135 0.0322848585423756 0.00263367135832078 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0296416605382533 0.0108897477901795 0.00214932547453373 0.000363959791269214 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0178336198048227 0.0136432793669362 0.000578231741357643 0.000690817918371384 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0202206187668392 0.0216801733778021 0.000651484130598006 0.00185988376768485 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.503930311213825 0.256341719354822 0.824374650729158 0.155608387763266 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.229496950277752 0.0788208537641749 0.147206214387055 0.01623709407841 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.130336010263806 0.0410643293517009 0.0451396017093258 0.00450191755532073 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0850842527729 0.0265613270350859 0.0183111751542552 0.00197850217180389 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.347339988567346 0.146316893041877 0.362699057037809 0.0554184729270556 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.114499367398836 0.0374706712798532 0.0379767228255226 0.00385849669633176 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0563117245974376 0.0223813878403674 0.00963169763622536 0.0015353679696476 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0375910977587758 0.0233210523449716 0.0044920206110588 0.00182391413273774 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.300797147745708 0.116782697201137 0.271525380243597 0.0317254279178186 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0864320942345043 0.0281412045433524 0.0197143015834129 0.00218100937458489 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0428570648070414 0.0194691182110611 0.00415295222161593 0.00120399205781638 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0326503619299831 0.0236846730670682 0.00206272627006061 0.00206231332361073 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.77701190720039 0.492622870616921 2.21365597024487 0.517698736883962 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.3649080431561 0.147642845872604 0.393070390593141 0.0549582973104018 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212932244001569 0.0717920939430155 0.124099478286726 0.0134912449437271 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.140030155317281 0.0446615039123913 0.0513469193429819 0.00537973379527862 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.536226382440946 0.284972356493759 0.960241076275347 0.196274570236603 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.186539495349597 0.0649401394886748 0.102593532556429 0.0115037611338335 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0922136870110506 0.0332068890120433 0.0256596890590578 0.00326745333172682 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0595731769785311 0.0286530782622871 0.0111532094682056 0.00264139898813857 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.466510902109968 0.229927301368578 0.72032495068444 0.117859637446995 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.142295876639612 0.0476249317285294 0.0551762250641333 0.00604097728306937 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0692179601521882 0.027568494394816 0.0117283539376986 0.00224029366159218 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0477053459872739 0.0272796294763016 0.00514040067281164 0.00253665450558324 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.14708802795225 0.0541201914832632 0.0575355425378773 0.00834056248024226 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.06195766764762 0.0206570872086002 0.00985520838889391 0.00119145280947684 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.034868786962923 0.0119950763142322 0.0029317286805962 0.000426399022023502 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.023611534107465 0.00945332831506064 0.0011795738730607 0.000286799646632192 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0974386878913471 0.0320126155590131 0.0258685392297259 0.00294494241329744 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0321182914238987 0.0130863913314311 0.00286505983842762 0.000541420033404951 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0180099727185691 0.0139274070331701 0.00100089642912648 0.000667708943381405 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0158140635563245 0.0203564449389886 0.000853550706946426 0.00140551879550811 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0832630937813458 0.0257100690035778 0.0188468171922885 0.00178653897721153 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0237855723501162 0.00957056283701564 0.00136725873660825 0.000288805378400759 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0155862252185335 0.0131943527233055 0.00045120093158744 0.000677689962982309 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0193479328501588 0.0219070726697608 0.000621317703645063 0.00194403017105528 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.278388359178314 0.121246988528955 0.222199074979214 0.0403251355194314 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.121924041089334 0.0421293069486986 0.0393867958585333 0.00491553738921367 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0686387450059588 0.022907454450605 0.0120178336872691 0.00145978958671951 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0451325278019571 0.0156369337451382 0.00486897662024842 0.000725055558519251 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.187872279501191 0.0669871208534308 0.100294217869931 0.0127186751719164 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0612944869164443 0.0206501576379708 0.0105244471019573 0.00130385235525838 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0308515122461776 0.0161592731436872 0.00287208476787537 0.000894735103796565 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0229993379100483 0.0209910181371031 0.00172134502672118 0.00151312970664903 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.163130921491556 0.0538041458546535 0.0736466863903657 0.00750897517579189 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0466737544998133 0.0157180888582505 0.00554592958550478 0.000713376910533329 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.024864925969524 0.0149217794546748 0.00130562454987059 0.000807955265631075 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0234880007849972 0.0227821399411934 0.000992446590172911 0.00207597485033219 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.508243571600189 0.291659767381041 0.842656176650182 0.210892308410339 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.235766201002555 0.091693241065911 0.153374148842372 0.0232361722899427 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.135261911473677 0.0467501574084319 0.0481653677990248 0.00604100818331535 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0887830453411643 0.0300201400655187 0.0199761539234695 0.00250731176366718 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.352026630709408 0.155775055971512 0.378874102232701 0.0675451673356484 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.119742405328456 0.039627531652467 0.0406594832277538 0.00471326818705467 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0587810668964794 0.023328389330405 0.0102555777548881 0.00186180320502401 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0396527123612938 0.0237933804433239 0.00499583159353693 0.0019806395134638 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.307644871604158 0.126333514874197 0.277576477629098 0.0395345723821732 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0925434091698722 0.030102831387712 0.0226240540196879 0.00243480493420921 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0457798261548257 0.0203211534045539 0.00500123770370455 0.00133414861003484 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0350201954987339 0.0253349087464864 0.00259215501738774 0.0024792543387205 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32759665619313 1.09244070954738 7.3295943580742 2.44900442301484 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.614917319101682 0.360567570897743 1.23313354482597 0.319949443814444 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.373205096363513 0.167929404855967 0.3992671511808 0.0755947307226776 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.253537133605948 0.0980213192446012 0.17390207321062 0.0262579684152111 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.904682969638091 0.628537043866099 3.18811880372244 0.937588513872863 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.332288431026065 0.142745975375136 0.339191009949485 0.0632526924941679 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.169969212717575 0.0662123194980179 0.0861499377134911 0.0156016070282379 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111584037290974 0.0470461723643156 0.038826957148593 0.00779984613776236 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.787246212052889 0.525990311699613 2.28810755406233 0.595712272599547 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.266191528857175 0.101891594317564 0.200983170347422 0.0262310224244045 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.13390345982587 0.0507262898863266 0.0482945956402534 0.00704246621634696 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0915546114401563 0.0426469806618224 0.0233127632799993 0.00598189095844528 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.17153710427106 1.9356033835639 20.9927645616243 7.24054564333644 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.948767499431799 0.672569702515589 3.29546830145817 1.01610682207196 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.576697908061721 0.320182597060436 1.04083125782615 0.255365859076386 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.398726073381908 0.182718146173551 0.454608165713231 0.088245625841327 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45585188594045 1.16795521119611 9.33743625366868 3.13828001957413 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.525440640856337 0.280817585145269 0.944151812661822 0.255806574681994 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.276312673691768 0.125525227834004 0.239296154994844 0.0626227397259306 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.183310691165221 0.083106241203084 0.10650237960025 0.0249760912082865 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.26312205795909 0.988539666828901 6.62192497228332 1.94654257754179 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.424468773959014 0.197665957455199 0.56010842347915 0.093948393138629 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.22349943609402 0.0888596932092045 0.146127892115667 0.0203822057193497 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.154593483990146 0.0659288054231784 0.0757116840278048 0.01328291687246 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0168382465746187 0.00886073447087396 0.000581435049275915 0.000369586723705217 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00770134548514706 0.00566672385438399 0.000103870329335821 0.000106334416527913 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00777356381321821 0.00728514253011288 9.0451437057515E-05 0.000150520515206187 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0111729672068431 0.00974846891612738 0.000174944482039495 0.000240411532858166 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0205147487900129 0.0149097087038625 0.00103178394334627 0.000945470422984246 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0161564121522237 0.0168079982010226 0.000543003700530468 0.00122991958474852 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0198821976182885 0.0193023812506584 0.000690203883669566 0.00183641530257381 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0276247924908108 0.0282481055494397 0.00110227210705202 0.00468143525939206 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00922093674748128 0.00540401235841339 0.00028045197084204 9.15969120984072E-05 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00578812264630083 0.0110212096022814 8.85931418680258E-05 0.000301999322789889 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0086263795633036 0.0227780029056496 0.000170877063299921 0.00128275329105907 NURBSSource NURBSSource 20 204 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0145224796261197 0.0430268085069812 0.000684543752106921 0.00616035901926082 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0582058179846195 0.0208751327338665 0.0077521278032516 0.00148036985973248 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0238409505330515 0.00972898288464756 0.00128347096268498 0.000282131497798162 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0147240709130678 0.00870793943933109 0.000431314702822627 0.000202002476946289 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0138374507986753 0.0102711488896814 0.000311320728731699 0.000264332106421931 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.041197027215305 0.0196745793337432 0.00407627903042 0.00146154876334378 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.01968891564532 0.0172981945399189 0.000834791142099037 0.00129443887615697 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.020638632969096 0.0195299552230936 0.000755494219464026 0.00186561024720755 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0277064573702757 0.0284209982611841 0.00111978690035451 0.0047140540135975 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.03125173827573 0.0119045966036309 0.00276946565782209 0.000425844270880926 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0100678981473963 0.0113887743527866 0.000258975601104998 0.000312781037322611 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00958513052080127 0.0228314790345613 0.000212193509143394 0.00128012073369675 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0149168174120505 0.0431709544817624 0.000717440962059307 0.00622783920204057 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107897767402279 0.0396702899992504 0.0294756836971592 0.00480867096638016 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0447192140622103 0.0164397227798026 0.00492352103887803 0.000779014347257412 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0255201269377562 0.0115219310270127 0.00149076439901522 0.000343688260118265 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0195437282322994 0.0115082455078201 0.000725535925083217 0.000325318607148915 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0716300850298237 0.0289977416054401 0.0130268970287415 0.00282224677602601 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0269210671617003 0.0183547754108707 0.00166048839317869 0.00142885765673003 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0227547735027077 0.0198407121492215 0.000953095157905024 0.00191078204031366 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0283401019243869 0.0286359177968605 0.00119425555363751 0.00475572040410492 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0596373956342215 0.0215834104793342 0.0101201046073029 0.00143271658985224 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0171533594144926 0.0122680103930236 0.000765315872333217 0.000360271061754418 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.012072951762077 0.022955433971029 0.000340062796822022 0.00128645550892191 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0158077997802593 0.0433324598343667 0.000794246406077965 0.00630099253939269 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.204493930677019 0.0838268158218803 0.114662179761302 0.0200331606966232 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0869180994063936 0.0314078151460399 0.0196509631814523 0.00279116353030768 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0486220440341612 0.0187161902122476 0.00587774919165213 0.000914073401984847 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0329175027181341 0.0151034965844698 0.00243566859907903 0.00055998301855459 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.135137374450387 0.0520616145987312 0.0485363792698473 0.00832276017989349 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.044260909553774 0.0223964562145837 0.00497583359444955 0.00193553971553363 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.029317014891916 0.0209003682047763 0.00176354514687819 0.00206050751125295 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0308152728395948 0.0291294596780753 0.00151533355250069 0.00486073703773945 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.117425916270968 0.0424239809260459 0.0396916885339217 0.00553342452455312 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0326405021442977 0.0153319635670482 0.00280791186687219 0.000574059689459078 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0187356901851401 0.0234682864900757 0.000854548254173662 0.00132732956765525 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0188164976356243 0.0437353184586979 0.00108310431008972 0.00646510976008674 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.531672813306995 0.325610313972977 0.956992508179883 0.260741578181581 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.246258540221849 0.104537482285194 0.16989043240518 0.0298292197313291 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.141154167727656 0.053292888051611 0.0531444662187853 0.00762955964163683 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0921791879422367 0.0349506278737246 0.021657156983762 0.00315555950709917 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.366401689225344 0.180064620006975 0.397555350350348 0.0919811990772455 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.121480799898962 0.0478621603300774 0.0412595726559127 0.00703645837322333 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0648256062602729 0.0297560731890178 0.0109802463788332 0.00346414141650785 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0498564804089535 0.0321909282509627 0.00536555889386705 0.00549803842371677 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.32767011627115 0.147195918033397 0.33522467159072 0.0584209239825078 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0962640414046433 0.0351877146087748 0.0248722310809519 0.0032294061448204 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0497174437178017 0.0286406175430795 0.006475798033433 0.00188139686030523 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0375594182285977 0.0457842707612649 0.00403296510243758 0.0071174154572126 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.825212146782972 0.60277842470476 2.62635473794081 0.828661603728548 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.386902986694668 0.196459976401873 0.451110226122325 0.101020495141507 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.228013969088984 0.0947012960809726 0.143266722302177 0.0238990969764004 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.151066810299888 0.058055112809533 0.0600876169782805 0.00885278017507665 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.56884147767543 0.338675399449814 1.06806690946875 0.304525368716006 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.196313743734435 0.0807152331916724 0.111329409703145 0.0190685797069069 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.103660072528079 0.0425500411757326 0.0298743670714395 0.00623892517616025 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0739206108388289 0.0382249362345715 0.0136654445492921 0.00693183107695407 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.512754329845991 0.279229061279026 0.905156930143708 0.195800556983744 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.158566964462543 0.0586451072327325 0.0687689378636345 0.00903410932446795 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0817018411523915 0.0366870128084244 0.0179611483907176 0.00309882900857097 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0583905899896298 0.0499660489975965 0.00985519576398931 0.00831960712413553 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.166374764411342 0.0686026653599166 0.0806884238146661 0.0148260177157953 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0708536730868186 0.0257914216458971 0.0140712953306869 0.0020523763935425 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0400067435403397 0.0158637490264077 0.00424477995954975 0.000713393901525658 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0279235286485322 0.0131854167504217 0.00181535222838912 0.000472385202350263 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.11263292914546 0.0427087429330768 0.0373298111661582 0.00642386726353674 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0388987589626015 0.0202255009253942 0.00404392077216753 0.00175140779506493 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0278502577477238 0.0198658304542798 0.00163107133954196 0.00199443971072175 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0310328217875635 0.0281887598699003 0.00151063426074895 0.0046359600677261 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0908144632479618 0.0343879546717754 0.024050650080564 0.0036450604824728 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0271933289059625 0.0147844539354937 0.00201189231924064 0.000540727125253444 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0158409202851804 0.0232391411964052 0.000637318675079475 0.00135012020772761 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0175218598855448 0.042221143617292 0.000920700005552805 0.00575507479498679 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.313641182146136 0.15448426540572 0.314609447625733 0.0725029216510036 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138069772618879 0.053149597419054 0.0550677046830377 0.00844720200473512 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0782109800422929 0.028976030040207 0.0170736429411223 0.0024176762593194 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0517187111694256 0.0204836153234196 0.00694674154298722 0.00116481310272486 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21549327434614 0.0867626579876075 0.143755377335193 0.0258557458717319 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.071254642931387 0.028612311124664 0.0147104118465256 0.00321196080648899 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0418340658899926 0.0220003187672567 0.00437492772305938 0.00242610633426623 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0378203405761124 0.0288604485280891 0.00265314090301397 0.00489083293614797 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.176635350157894 0.0715592711410773 0.0934534798562177 0.0150326399631469 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0530141130227746 0.0219653942973745 0.00780674063647792 0.00124644651543585 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0277575758199766 0.0248075519577008 0.00205007817965429 0.00154296052472803 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0238482281811639 0.0421121639264592 0.0016244479583327 0.00558610790959547 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.577984946331162 0.355943234152104 1.23101905028694 0.35308606541845 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.263644723322139 0.116800272579906 0.211088943864403 0.0414239966646264 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.151873612637683 0.0588364302235237 0.066205790987365 0.00995174466832474 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100223861824045 0.0375614018116417 0.0276358726657135 0.0039603220750297 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.401825409859526 0.196491137972923 0.548588673133145 0.12318990331019 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136930539164994 0.0511343182838461 0.0564328788366658 0.00919926044171356 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0741988767375049 0.0291035523012537 0.0156885525324061 0.0037148835074248 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0566026451969949 0.0311467986189811 0.0073597981168655 0.00546543746533228 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.330008698045084 0.163886124206528 0.351393396720167 0.0730991994989229 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104512731231093 0.0388814674170372 0.0309391832318407 0.00411098670422411 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0532956340910509 0.0296116263430944 0.0078121963356612 0.00224013591782703 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0393347537082119 0.042349688943957 0.00432366070309169 0.00519594165476547 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.57292048994548 1.26485392930466 11.2377980384666 3.73784303144051 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.69663376905337 0.440086920303271 1.76836014549922 0.526214041345351 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.413391170653082 0.212420596644544 0.543751727008681 0.13002261736747 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.278905682390837 0.124506255604623 0.229140823075281 0.0447428743965309 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.05625098532324 0.743967045062247 4.85221632067476 1.42713751980271 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.37847436443299 0.179280335311127 0.490109633783162 0.107537193121432 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206937940651222 0.0789054604179065 0.135726661173269 0.0232243980853579 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144880008807386 0.0560993764176519 0.0604011732465568 0.0135437401659971 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.868371512314056 0.634158019091269 3.09529642484435 0.908928294293696 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.294315892344704 0.12897754190903 0.265821030397136 0.0426122694146592 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.157617253941289 0.0616056174808243 0.0720335344450318 0.0101163452773864 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.110248744674727 0.0567565496193707 0.0353361530752328 0.00872661067379722 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.55353613901743 2.21227459544804 31.3827749756569 10.379912354856 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.09164531654662 0.786938217264054 4.75047262578435 1.53292171012419 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.640027968188131 0.389878960607109 1.41642534511753 0.404590329130964 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.434592371555338 0.22776868743464 0.589992224919707 0.143220620955036 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.69402185793462 1.34928549568882 13.9524885569791 4.21011475986854 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.596703742516384 0.340342225123432 1.3888939962465 0.351032059630719 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.332638415788176 0.144632965782283 0.385146045423792 0.0746995562401751 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.232626256605892 0.093082120648745 0.169743301108324 0.0333769227934656 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.40436513970167 1.16547918772008 9.0286131443137 2.84016251991011 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.462000804505354 0.249084444225969 0.724893959762133 0.151398787157566 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.256406953560723 0.108284883676629 0.202103489673132 0.0302147893040004 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.182201146061705 0.0829003169690693 0.100168054909116 0.018658562420297 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0281487614623721 0.00717562732892997 0.00166819590224707 0.000227092351614073 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0114674827868927 0.0039340223108971 0.000262562036896341 5.09501471424832E-05 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0107527188640693 0.00397710282777175 0.000214127955518017 4.50458808288909E-05 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0144620061999606 0.00507374879161986 0.000386802591116196 6.92985755273269E-05 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0348979999582195 0.00901005926891073 0.00272547275051846 0.000241378003619199 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0201640954341968 0.00976721795452379 0.000769964903040661 0.000229446881306252 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0212530506860147 0.0105478604687626 0.000661582192824752 0.000254149875503341 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0287721710024334 0.0171032062967715 0.0010786873099227 0.00087229120631605 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0205474496312752 0.00367363553849252 0.00149634726440381 5.49930720422655E-05 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0122396109301994 0.00435704697592077 0.000403015184748293 7.16657919707921E-05 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0190869892683531 0.00784947258478452 0.000866807098193456 0.000213980075268641 NURBSSource NURBSSource 20 205 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0314854996154125 0.0132397328948514 0.0023104297518516 0.000586727860929797 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0694523752070666 0.0189692146681214 0.0101429558180044 0.00113768722781365 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0277177485779918 0.0080219968224402 0.00168055625756215 0.000193514204736602 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0173795305482037 0.00566662742810121 0.000647950450457392 9.0062952125483E-05 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0166169689330134 0.0056672282634548 0.000563193878805678 8.77996189940595E-05 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0558288415175715 0.0143115449249797 0.00633592751041827 0.000585324994453077 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0236275800728472 0.0104621669452501 0.00109893418290882 0.000269382214969744 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0219683676174997 0.0106954480900153 0.000721598841318283 0.000264145495727555 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0291549909438517 0.0172157804063268 0.00110716210432188 0.000887800981272862 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0398499003536108 0.00843316611159918 0.00467801888690418 0.000230573121139739 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0155582692192539 0.00505296805209136 0.000647917014751205 9.153918646241E-05 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.019465518351778 0.00800719052586114 0.000911108462066955 0.000221652411763568 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0315352292921895 0.0132715367459751 0.00232461677794378 0.000591093355106492 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.123517651156066 0.0356039381092385 0.0371439919557879 0.00365301069259003 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0505866849451043 0.0141337009512059 0.00628259921052021 0.000577222166578064 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0293014672566851 0.00868447159617064 0.00205959703400793 0.000208378807765738 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0226270798898279 0.00707336012614741 0.00114579783878988 0.000136474023878165 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0885536675966074 0.0229445758218907 0.0175283578486056 0.00146124365138201 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0315473012013068 0.0118784270405555 0.00212089218225446 0.000354836255031265 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0240207865781171 0.0109610577521033 0.000922263888573238 0.000283310411205215 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0299479962093243 0.0173615493722107 0.00118816161187751 0.000908879122261405 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0689647740078297 0.015319157899475 0.0135850663370339 0.000700060621432366 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0224711276130833 0.00645513508323729 0.00136891821030807 0.000141219436730437 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0211112749754865 0.00834049335784305 0.00109724386897319 0.000239116304485096 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0318383695101785 0.0133254024467231 0.0024000811340802 0.000598859716285306 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.234571370874238 0.072444562060658 0.147625765251551 0.0144610813968208 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0982712510099723 0.0272880134174089 0.0254221421492149 0.00207047282723758 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0556020535307239 0.0155030018201067 0.00797184698109509 0.000661079795571701 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0381666133323659 0.0108456030505224 0.00357968607331549 0.000323445738312925 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.159310220679424 0.0429074327893274 0.0633343164285897 0.00490316662080081 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513269744564055 0.0159664435901853 0.00636210637255188 0.000661149409216068 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0309604618431513 0.0121131162383919 0.00178327672117074 0.000355051394326217 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0325780356108496 0.0177825911495782 0.00151196405866952 0.000968594772346875 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.131194056845444 0.0297157762038467 0.0485914732559015 0.00242606981166968 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0395972561348472 0.0102054469398893 0.00426172264500397 0.000326023259011213 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0271123114142466 0.00941574687678985 0.00189549825534324 0.000301723913146592 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0335224369122914 0.0136015533330361 0.00276085416661645 0.000628050863022012 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.633069261098509 0.276076711521692 1.2422793226124 0.206915521266001 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.287265149247353 0.0854167445071623 0.230800767655897 0.0195453464768079 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.163809364207279 0.0449839051473054 0.0730485566085885 0.00542763644289885 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.107673332980765 0.0291001843436127 0.0306994862481333 0.00231147939496005 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.435413444654173 0.15053278928486 0.527444581879868 0.0651777756069038 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.141790334426115 0.0380177435833229 0.0542807689747991 0.00379172690832463 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.070744023942949 0.0203583618391774 0.0121274954168256 0.00106391731626293 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0518366885376002 0.0215390290725498 0.00521600656170204 0.00146144758717391 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.376792085040833 0.0986458295172772 0.402865723401463 0.0249655546126117 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.113978046757686 0.0275835841169243 0.0355580954692764 0.00213272706285334 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0633305714280414 0.016583348264112 0.0109365641732069 0.000876176660794255 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0517679393406542 0.0165932751524692 0.00728099410449066 0.000916860955285859 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.977953121100822 0.539223022309778 3.32893616898128 0.731981227176223 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.459890042339202 0.160131716472965 0.613210410533208 0.0698384755276168 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.269940414539511 0.077283546485805 0.201899460067266 0.015832453503575 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.177854544120215 0.0485943473352018 0.0853240020222531 0.00635776534291218 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.677010090366096 0.295027374503934 1.38748166628186 0.250918393916453 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.232309492058999 0.0640473945443403 0.149886887557721 0.010837033668152 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.114019217699485 0.0309730039147489 0.0340124712361354 0.00248743556692678 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0764557029213835 0.0271689866697086 0.0131683532762322 0.0023541205622761 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.590036896506032 0.20061294876165 1.04007418671719 0.105085762275325 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.189054052927957 0.0462047426970319 0.0991043988464345 0.00556747504531923 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.10337444710132 0.0258062528111348 0.0297843945476917 0.00189460319240965 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0770726991815961 0.0216842238812508 0.0169860325201386 0.00148086668045554 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.194742376921147 0.0578677126985254 0.0949177785036078 0.00911846960111113 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0811290490740879 0.0224766658917022 0.016417740882201 0.00134939500627653 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.04612366247916 0.0128670705416004 0.00523303227151409 0.000443736443005877 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.031705346155285 0.0095916201306436 0.00239791813264291 0.00024274613745666 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.138594801181733 0.034277644636607 0.0469203280790439 0.00333709536412827 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0451551250291389 0.0134998091451508 0.0047792691309242 0.000487384907284584 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0292851656706641 0.0113874440151888 0.00152134015614559 0.000316505379489279 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0310741761223497 0.0173421120601209 0.00134448032967498 0.000898649363389885 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10903695223278 0.0248034910290453 0.0349094058571705 0.00173222511110546 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0332400113138626 0.00870829028777273 0.00298989488239061 0.000238479850338544 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0244978616424023 0.00879295638624215 0.00154069721894734 0.00025819934388849 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0323651582195823 0.0131729587465666 0.00254092014708673 0.000569937919639025 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.371700172834146 0.12598027336802 0.375436900993513 0.0432949289121892 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.15979939007175 0.0450810944945491 0.0663773163841964 0.00533441129200219 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0907464674721351 0.024490400738558 0.0210405552770641 0.00158043802312005 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0592670047532171 0.0166488559759546 0.00883709650069378 0.000740508037970737 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.261766201573279 0.0719065855144727 0.179648985620863 0.016559985465235 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0823598540467511 0.0216051017996203 0.0175739370069135 0.00128511154725198 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0448967220823872 0.0138701719950473 0.00432660213539001 0.000508962231058479 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0375032078709967 0.0182503949307925 0.00225783321544873 0.000986143888452384 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.212394557942429 0.0511089433730563 0.131117775931109 0.00729291595387906 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0628829812898858 0.0156579990657922 0.0107565771743022 0.000719145071786978 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0376699819663031 0.0112925536562753 0.00379437923256785 0.000404932293830885 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0369358615587108 0.0137079955729002 0.00346758942874739 0.000608070230744043 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.686338096091175 0.306337197647144 1.42784376541708 0.244618412210973 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.312410513407811 0.0961759772800195 0.262324872141765 0.024769738014734 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.179806195029572 0.0494227554325411 0.0844886454383368 0.00644458602260771 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.117049318104506 0.0318642479751278 0.0353070476518875 0.00267651678738381 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.49356468165217 0.166671751022522 0.689974939199988 0.0963833624818735 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.159776724689931 0.0411211160897138 0.0703419275150323 0.00501600833407437 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0811117886279913 0.0217025615629508 0.0165226546038527 0.00131676458460387 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0559315682652226 0.0214158716776532 0.00632349700899225 0.0013429784575614 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.409530772706798 0.115560266895704 0.497410610794158 0.0389185371413693 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.123758421038593 0.0309914864411055 0.0419967228490624 0.00274334962927632 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0694599942061856 0.0181349898840873 0.0132006315334081 0.000954772315917655 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0527009759779339 0.0165736054296896 0.00743573597154005 0.000855051905710551 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.7528594795547 1.24944674616131 12.1745734838546 3.3735748846178 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.835813356493034 0.388658398931455 2.11625278809839 0.391612626906202 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.507863851593271 0.176642351626223 0.707815765208557 0.0843656357559956 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.340370472002992 0.103267730129626 0.305892262015222 0.0287310709548493 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.23834331112121 0.753238447705401 5.81163783976693 1.65054848125022 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.456790125093682 0.146201189243097 0.66116442928611 0.0828710164635378 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.23289668309327 0.0640064514477237 0.168926433206618 0.0133389196108009 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.146436705485755 0.0434889226152083 0.0601371994384099 0.00563660157595581 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.05528325612786 0.527994903782213 3.95466301761897 0.685171360830104 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.360818466831118 0.107327703649488 0.381418289022043 0.0316908606697067 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.202302428226974 0.0535153605219043 0.12240546732765 0.00784688902807911 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136112035441043 0.0394371230450816 0.0538561312090323 0.00448743513770407 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.80321032623568 2.28363339752817 36.4421079083556 10.6775379219008 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.28153019969312 0.751157896107806 5.53006741268465 1.31252106179957 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.789750113404191 0.343259192491277 1.81105971077425 0.30351787046693 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.540499260895659 0.192731184628146 0.786879392822404 0.0990788101462137 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.94146651907691 1.47146243445472 18.8614844584929 6.30142014308848 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.731147817652745 0.301360586479852 2.2173348804934 0.374594461898252 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.386109854203715 0.121429528719727 0.635030678996356 0.0505824245354273 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.244209825122446 0.0738910762652861 0.220367055702822 0.0167588515684669 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.64628251658226 1.04709397515872 10.9850530735325 2.39431955146068 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.587570667280462 0.213567420902563 1.16856026538121 0.120728652410258 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.340082603605391 0.0996193186089355 0.413367705775409 0.0266117158542292 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.227625967165984 0.0700274081361003 0.175022206297996 0.0143820092519622 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0262434637827676 0.0168861256529836 0.00128262453390331 0.00151355473032701 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.01258546719192 0.00810180602912256 0.000184271833395747 0.000282831870226355 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0138819986220432 0.00815019450741541 0.000123538036228357 0.000278597296310837 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0191745977662368 0.0101550845436254 0.000185499017521605 0.000426042564723505 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.032019021830994 0.0184101546434187 0.00249567844155528 0.00156302953152153 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0218103642476715 0.0159503740345247 0.000803856448359146 0.00102430662943443 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0271793935322965 0.0212351771458138 0.000811015992070635 0.00194830802019893 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.038202929514068 0.0312802492779082 0.0014465669903486 0.00408395479382228 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0190640991257206 0.00943869544361252 0.0010680700695102 0.000328718938699884 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0138899681162763 0.0066012092517743 0.000283712967493413 0.000157617448829403 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0222771325243559 0.0114095462998274 0.000304879053466421 0.000472346080087878 NURBSSource NURBSSource 20 206 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0359982679277103 0.0191661224263182 0.000459156126271338 0.00135507645045188 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0617333753853293 0.0407696593944756 0.00754534012838207 0.00579099419697157 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0253366279285537 0.0170058672896646 0.00115121688872156 0.000995129091414942 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0176812879974957 0.011552642102495 0.000374182432257146 0.000513146345579988 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0200542672365775 0.0113583067735369 0.000282593078593572 0.00052531819167385 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0498792985752217 0.0301263819251305 0.00562682439989575 0.0033670881912322 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0243239869351212 0.0177428721095541 0.00108796109473374 0.00123951900096543 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0275647941449093 0.0216042832966288 0.000873972974857688 0.00202093922315149 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0383173860694445 0.03152367770593 0.00147383643345373 0.00414662672755927 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.033723238426038 0.0217480142943958 0.00299904883904346 0.00131986770984516 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0162037442093354 0.00866461565991526 0.000416896930719606 0.000254491266448384 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0227327080650238 0.011753792244121 0.00034973678152931 0.000500919091073026 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0362493975653692 0.0192985366243507 0.000486471972485937 0.00136819995377906 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.110559555046726 0.0746011631401905 0.0276420033430741 0.0174150947712224 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.045189134237962 0.0305989741758617 0.00434919644617594 0.00294826251579322 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.027147013986673 0.0183257842816385 0.00122918062593849 0.00116065532672904 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0232935659789189 0.0145703045187772 0.000585601185006551 0.00081255979176112 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0799664245434755 0.0493363049373263 0.0149522052972522 0.00805728784446912 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0308271025485225 0.0214354210446442 0.00191778256263088 0.00174328352546958 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0285823045109888 0.022345661251763 0.00104410465434448 0.00216358837669044 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0386815034114673 0.0318453748511969 0.00154247751413004 0.00423555331181278 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0578455154985944 0.0401083684106817 0.00865909966998449 0.00427068250354413 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0212475084723781 0.0129502548669116 0.000823421644429925 0.000530051940911695 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0239503262260981 0.0125765490198528 0.000465723492501021 0.000572877846784886 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0365692577153282 0.019539022176774 0.000548962349134897 0.00139919435157098 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.212396081466133 0.144664714577171 0.112963518595528 0.060994580968881 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0869231493151695 0.0593497127723936 0.017927606922389 0.0103877211899574 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0494789971181741 0.0337711532962199 0.00507228726269597 0.00356963488239635 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0351328862756955 0.0235659402478197 0.00197201686142132 0.00189454892748661 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.146168493733687 0.0918841450032802 0.0536081598875973 0.0257834387486183 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0489915712115424 0.0320314693274204 0.00542945798516224 0.00359147245938147 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0331405597868819 0.025130279171298 0.00174492851121245 0.00268319744179882 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0400548872564611 0.0326691835485147 0.00180562594024527 0.00448606585598399 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.110326397615124 0.0783018080678232 0.0315350864700636 0.0159068631200403 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0345549233583616 0.023327937768507 0.00254856089296923 0.00159392433406103 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0285269706861525 0.0156384140638062 0.000929940475982383 0.000855981213704865 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0377241738383766 0.0204131722585158 0.000780530658199139 0.00151946889000748 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.616346766142141 0.438086629209427 1.09413859134879 0.496795776186968 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.256234337344123 0.17674482342599 0.171601809267501 0.0855727258672318 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143250555239125 0.0984705191897584 0.050167538438223 0.0274828744801105 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0939631042218459 0.0647290160195344 0.0195607190628909 0.0123389423851363 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.420136355704921 0.272016018937773 0.491869052585231 0.208725633478371 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.134135874793307 0.0835082945782277 0.046600077782785 0.0213910676369487 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0678384834649619 0.04529196612904 0.0104242488164829 0.00756231687111496 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0525727031463976 0.0400357344288562 0.0047308652764682 0.00670421776439469 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.322921896826056 0.234629909899783 0.282910110636577 0.135379594156356 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0947056811544775 0.0680788998323599 0.0223429083281134 0.0124738778690697 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0587167862988998 0.0349228762442836 0.00653911465875123 0.00367830181026446 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0505696349918091 0.0290875910606654 0.00327546965943078 0.00283000592070293 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.00218641918657 0.752882455987645 3.1475406127114 1.36093082501829 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.42382459340041 0.296808599190255 0.48901995633097 0.232488451105523 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237229136986974 0.163840370280751 0.143799802439749 0.0736885231752482 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.154728383037113 0.106896473775868 0.0570286197663372 0.0322759387139587 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.686062440502291 0.464033042138278 1.40346933722697 0.580486535876268 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.222330382260303 0.137462622917579 0.134228892853242 0.05553962986313 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.108833829230613 0.0697807704302513 0.0298770988269629 0.016468576633829 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0730383079311944 0.0525228505528482 0.0113249854679905 0.0108743146973843 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.530453472333042 0.39639656254934 0.800863928771975 0.367770254225088 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.156608890323843 0.113636268648713 0.0634617613871871 0.0337009051040936 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0932005487153744 0.0564603344749391 0.0187427499743705 0.00903820656491607 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.071790534649214 0.042090400954242 0.00882624459801074 0.00537886595962198 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.171595447708224 0.116487336849145 0.0774045805406703 0.0395065157591218 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0700690548131696 0.0463940239400858 0.0122240761686603 0.00638176172526605 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0403492598453725 0.0265337386104311 0.0034170571100383 0.00225627195761517 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.030258204268273 0.0191377561149724 0.00137045007925183 0.00129237705203566 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112597216100035 0.0743837082367765 0.0331034683055121 0.0162719130358982 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0386777864124766 0.0267959931993488 0.00352174295614729 0.00257894899271723 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0303927304699149 0.0235206915729867 0.0013529405891945 0.00238692783801797 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0390539473492157 0.0316828057751856 0.001613379093856 0.0042536019564106 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0851497280393014 0.0642085048321648 0.0195744098544434 0.0109017601804732 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0282093777079495 0.0174456126279447 0.00177719280726074 0.000904720831513257 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0257782852640314 0.0130277233792903 0.000748306135894664 0.000615444059046453 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0365867684762276 0.019188210665642 0.000679270818221813 0.00136260047798974 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.336007813657793 0.232850147496288 0.321254379395482 0.146841523056246 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138135713167096 0.0918671601339496 0.0510549092755176 0.0236641456923711 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0773477295184833 0.0510624564949567 0.0145867766176956 0.00773372212444698 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0524540040508225 0.0340778676408508 0.00560273792533773 0.00369797505720555 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.213566605135762 0.145913536699598 0.128488308210169 0.0592257604684439 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0684818734678914 0.0457747847600284 0.0124065078303099 0.00680691374429842 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0402843125041962 0.0294724064312702 0.00316103632464411 0.00358443690172688 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0414749664817728 0.0329804262646554 0.00219511614116646 0.00469161939763331 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.166302125561035 0.127074511576705 0.0760358053584055 0.0418157979782445 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0516968268422853 0.033980644918935 0.00685204528474283 0.00320639717137732 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0359040181560382 0.018757579215399 0.00224506412120444 0.00118717787142037 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0400036508400108 0.0209091040492521 0.00133542506782384 0.0015914164649185 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.654641711904818 0.475661051630487 1.32816554658159 0.571559063678949 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.274173324966626 0.184134075351672 0.211068667719901 0.0911326324801418 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152857744651086 0.101355637397328 0.0615465430624699 0.028834766281352 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100515644692127 0.065958779047709 0.024185349386223 0.0128076127623455 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.416701879106164 0.295216023652822 0.519384337104373 0.238790675807732 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.132475982985855 0.0875737457356396 0.0493501022568486 0.0231124941151618 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0676047538984576 0.0464272337494445 0.0111494196752895 0.00807507919822798 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0519678195831736 0.0391371087364962 0.00480205300819361 0.00655854287657859 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.329860087505671 0.255099926326819 0.309560055223341 0.162241032037558 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.101977076798645 0.0678919288275756 0.0287807585711435 0.0122627286181799 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0616727166083454 0.0337152123031796 0.00915402660790204 0.00347747962667007 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0523538216789117 0.0280488498460536 0.00427069133412741 0.00267923798555246 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.83946377607926 1.55414142204487 12.7079054439956 5.3393053772405 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.793955444484004 0.571268327348861 1.94091541549083 0.814655200128186 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.451475054029519 0.306212223022564 0.576296445564278 0.246475438771113 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.295460124357501 0.196393252059269 0.23331693497735 0.10480543329233 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.20027872430377 0.95194330205556 5.09665609702059 2.43050232161897 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.389996877442473 0.264503690371494 0.458606963053248 0.228104269918131 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.192324643673891 0.129799511669013 0.105972976743486 0.0596562146800343 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.120525713190303 0.084993289334622 0.0384905166857237 0.0281481179967822 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.956425899578175 0.803155064421297 3.03345150893125 1.42701209703441 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.306735828082101 0.205838687716906 0.294232629056486 0.105853312164248 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.178580198330133 0.100176072307977 0.104310229374375 0.0269875377346532 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.129083724618881 0.0702035594853372 0.0498216083250406 0.0141944955605721 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.0041077707451 2.70426747594535 36.2456612964613 15.5519846232719 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.27516877983103 0.98392902285953 5.28869465380184 2.30071991656834 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.732873853604165 0.517920621838726 1.56302315404703 0.678818050941149 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.483029354321302 0.328604756246921 0.636825036857151 0.284209479651658 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.97351254485299 1.68138117929196 15.7866019521337 7.70506418566869 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.648022525712978 0.458447551907999 1.37000413185743 0.763671582959216 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.321130103346734 0.222113998365419 0.31783862235213 0.197600161719688 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.198725467718298 0.142176649617672 0.117200078213361 0.0858989097698601 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.57856390737256 1.39557163301442 9.3382962834127 4.03508105151342 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.515725117828172 0.348822563797564 0.940551774550662 0.293171782317314 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.302769378368728 0.169468140187496 0.362005083158126 0.0734152736185459 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.217774394215513 0.117580332962806 0.190441446200709 0.0368328860598538 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00958037488563713 0.0423039687433822 0.000162068792963185 0.00915595333330205 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00529665691858595 0.0162564494756748 3.70244099812841E-05 0.00119615230911403 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00554448879799092 0.01185514547694 2.81263153100438E-05 0.000637727997879904 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00777768900554688 0.0123015940889286 3.97870160207E-05 0.000734803466917262 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00869833965531674 0.0476065527107885 0.000222931754226049 0.00991129961010628 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0102999701483831 0.043572546093256 0.000372544910399569 0.0104030573847587 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0139045332404705 0.0711169587869981 0.000794653187088648 0.0293925243640169 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0218987108167485 0.106345957798314 0.00194280572438176 0.0656081179498725 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00337962297517547 0.0205039878471097 1.92507015655968E-05 0.0010357321952714 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00785274925849759 0.0130799888275172 2.00353874837287E-05 0.000332434047256591 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0152144159347586 0.0203703698011223 5.92635916859053E-05 0.000905935714787387 NURBSSource NURBSSource 20 207 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230549346565204 0.029862300976621 0.000122974220798719 0.00202405064363717 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0190312829953305 0.0934869673607812 0.000768130739339043 0.0309341219549917 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00802701338203147 0.036766046759633 0.000114134888634097 0.004620207745132 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00632212480040015 0.0222303816179288 4.44085732346074E-05 0.00174244783449293 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00803462357759107 0.0180470430574794 4.42732287993355E-05 0.00126294980751376 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0112029113344542 0.0705900664402392 0.000383269789623185 0.0186381630634846 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0100709674071693 0.0473288385004536 0.000364104805881671 0.011531450302964 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0137513986041204 0.0718267944231759 0.000779452588404492 0.0298907310560495 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0217632224123147 0.106642002405737 0.00191992021241568 0.0660677647528055 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00812358706441239 0.050149307840395 0.000159975210904741 0.00613746452523833 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00781884261067452 0.018500590819631 2.82200992512401E-05 0.00066419266990092 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150766140395401 0.0217996476833171 6.08293835316426E-05 0.00101865896880894 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229423089598592 0.0304838883012043 0.000123146664708692 0.00211598476061436 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0337107963170337 0.166114449306518 0.00296413712804669 0.0880068371885081 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0131265955535268 0.0666986093234455 0.000386353114044134 0.013971183479865 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00852183126363919 0.038095371029555 0.000111239584599423 0.00468788101217866 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00867677645853297 0.0274491770613367 6.65580919331271E-05 0.00258311281511852 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0188980502594966 0.111648338479503 0.00108587680757284 0.0428528367337064 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0104851238073363 0.055216913533547 0.000408243494088983 0.0143455408373501 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0137004569943443 0.0741234817537717 0.000780343449690616 0.031153791561876 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0216553597850982 0.107592305417131 0.00190691066542873 0.0669772995267782 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0150952390089004 0.0917779453880387 0.000621129457133066 0.0214619039395929 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00846447849220898 0.028025345623413 5.59386910948066E-05 0.0016789997660624 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149752608095804 0.0251731070969555 6.76938552895993E-05 0.00132582132290725 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228262129426229 0.0320014892504756 0.000125743685797936 0.00231424297181657 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0708445653947727 0.314305115363715 0.0191015549187976 0.285408500347132 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0250223323527805 0.129353465430224 0.00161715870421706 0.0497603222267453 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0142411414100911 0.072777339520335 0.000423393340310466 0.0160121540147002 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0113586017112629 0.0488748123257737 0.00017392941613353 0.00749742798457314 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0382072178653093 0.203284736140197 0.00488187998103635 0.131646120270922 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0134461403272067 0.0767834144839011 0.000674318800362281 0.0243300503399386 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0140513638468403 0.0813018130834192 0.000836938625941291 0.0354171938622404 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0215294655626524 0.110517539062056 0.0019106608798777 0.0697608838341731 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0303020074588385 0.177087752014323 0.00284060099235273 0.0813830887507621 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0115825952681944 0.0499778958422291 0.000185483017741286 0.00589777790397179 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149947200056152 0.0345600352408516 9.75092122022793E-05 0.00254692676891244 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0226247652450759 0.0369998093495976 0.000138267006269747 0.00303893800577096 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.31468258367461 0.823194380509137 0.52939853836764 1.63187546745727 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0822961367737518 0.373927775262226 0.0238870517193628 0.379917709484828 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.041242252203861 0.213159792102968 0.00453983135575315 0.128364828992925 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0269865958349064 0.139349497899935 0.00163228024112176 0.0559146610464577 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.156747260136957 0.547554647012347 0.136564822890126 0.80478933932949 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0355654056882766 0.181360660305727 0.00467491259274699 0.112655418800267 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0213769055871971 0.126220396677111 0.00188397873169125 0.0712746565699366 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0238649875232761 0.132528643813144 0.00246437302601638 0.0915369358716128 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.110833964807458 0.499828827771007 0.0530416887526814 0.608891469689246 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0288956944573663 0.142495448467924 0.00194317673220049 0.0514601200663963 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0199795176968939 0.0802768027600477 0.000472064272443859 0.0156023105543625 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230588879154427 0.0653986375419481 0.000286499958659505 0.0104133183887536 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.65429653808236 1.24797693808887 2.35139528641366 3.4703013677794 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.163515347703201 0.595288448125148 0.12082436095403 0.903470311806174 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0733439930253357 0.349463986484157 0.0175547845915298 0.332887053685274 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0449767932156516 0.230270366222324 0.00516702229347614 0.149302872464461 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.330900074991917 0.843922753268648 0.661495312858951 1.77526156189416 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0640423121231059 0.290033632877704 0.0193249061309952 0.264441065837899 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0343888499257188 0.180080231227743 0.00563514315127533 0.129451598838343 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0307181302075306 0.165537754432505 0.0045082748809873 0.128631803419885 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.235597033767011 0.781859759636998 0.289233155591845 1.39242875355671 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0481363127781453 0.23590022784908 0.00618327823477566 0.142109629223411 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0282277257569767 0.12936893151803 0.00138870608352985 0.0423460764784171 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0258690139524663 0.0989947965118836 0.000629024590196017 0.0255580793986235 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0606059941368383 0.24712361602135 0.0127871481723702 0.188682052183749 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0220064922612392 0.10307642675571 0.00124645601548671 0.0333280862436925 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0128574705065733 0.059138873972731 0.000337881727859422 0.0111396027237264 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0105012083414235 0.0405518841038967 0.000146702294783766 0.00540256482457078 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0338617063610377 0.164992599179135 0.00399786197324926 0.0872584727894012 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0142132785056031 0.0669010658894948 0.000695023527098545 0.0193646092934919 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0144354484417702 0.0782672462530456 0.000872222769518028 0.0331131009865465 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0220121433733402 0.108699735221091 0.00198210999479165 0.0674438330840006 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0258536296449079 0.148051106657659 0.00195746255034768 0.0588114135940399 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0110130481640276 0.0415600143482116 0.000153892347613445 0.00445848274977397 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0155012441823661 0.0294860145666965 9.49976814358945E-05 0.00198099172600152 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230021110619232 0.0334957950210662 0.000142084047419055 0.0025919482294753 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.140401972632652 0.4612928695197 0.0951681089395585 0.602768160371233 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0443664998994042 0.201399837260352 0.00608919627978895 0.121493683838605 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0239973622707812 0.114928467957212 0.00142853967015985 0.040609051747096 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0168137841959047 0.0761980883539692 0.000534731354094737 0.0182058646269485 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0712589331179327 0.309612852912986 0.0244420246164608 0.285318276323346 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0224369811088246 0.106559213974616 0.00168476788420096 0.0436032962154752 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0167802090826561 0.0943135009616155 0.00117222647457007 0.0434697320729359 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0227480801555017 0.116699460208081 0.0021533267663897 0.074689676644034 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0546296100323493 0.290116720124883 0.0109749171464609 0.223200456128707 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0179934678254208 0.0805982095616651 0.000629385858522173 0.0175176658178427 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.016833672023823 0.046115423351506 0.000207238444040599 0.00534171191002501 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.023300908362365 0.0428150992474048 0.0002003483320686 0.00425737612958983 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.356959470745099 0.837131299055529 0.717345989904178 1.81298093325603 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0995880749900727 0.390306117372406 0.0429875558696015 0.428371159344616 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.049267242013673 0.225695336704034 0.00789589811502637 0.149985581995757 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0314352148147487 0.148892951062807 0.00244947794270795 0.0669817489124632 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.175296665958151 0.579684024641593 0.186334625167751 0.912663640735757 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0424591322119741 0.193396879647059 0.00708973772038094 0.128538731106679 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0249948384244188 0.131686287392118 0.00251216041313774 0.0755045340495044 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0264695740471657 0.137205308330941 0.00297937190821806 0.094160081569096 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.134501497654745 0.553900903603266 0.0947723946686214 0.770082685015496 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0340763168809919 0.16026538090308 0.00283483740594082 0.0705305361983851 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0223647058192132 0.0862316488748978 0.000707020553858023 0.0196949900269293 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0252278439749059 0.0671101759311973 0.000453944796357486 0.0111433245492266 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.53370002800161 2.10613221556779 13.306069981518 10.509446581552 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.447014502791069 1.02208714774127 1.15211004264461 2.58833014015925 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.194007042985856 0.626238921419262 0.210717539542709 1.03825829413099 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10874110936913 0.424919955262534 0.05744727319095 0.501874880315677 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.843199111013713 1.45896066840058 4.50799960917493 5.04001509200533 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.170380614230401 0.531616324438759 0.198151844017386 0.821208409324845 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0840796744121204 0.317129111632531 0.0443395381159107 0.340911435263629 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0626522753336677 0.256173953415763 0.0196010734831705 0.256909604539609 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.701574503897754 1.39138611712826 2.84137993469913 4.26822239716251 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.116484067561415 0.468613054959989 0.0514121855148768 0.572943897481925 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0572059628569592 0.256929034172412 0.00824512766995401 0.177526959977235 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0429646799159956 0.185666819687238 0.00432958672389073 0.0894671707085913 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.82007892084137 3.3688189826276 44.6814331634486 26.2633281645831 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.897007240357002 1.54915087842993 4.59769614685269 5.67173526770565 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.399459868019499 0.959414292203838 0.951905979812235 2.28719820699277 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.217965421076936 0.664920629521107 0.280239831095261 1.16051206543109 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.68420729560527 2.30370967499825 18.1382775481896 12.6788592626954 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.374918937966009 0.839956884002149 1.05809526847437 2.02201711045447 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.178148619124718 0.501010510475375 0.260461621289935 0.804504574233823 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.126805780253667 0.39272076873359 0.108102358735046 0.545505959234532 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.43475540846748 2.17978856703347 11.7522793644714 10.2413990683306 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.238722161725457 0.755138256902009 0.268767050677007 1.41429738545697 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.103749267775583 0.433662417656679 0.0371864571795411 0.485852134929199 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0699537393326346 0.313147297284695 0.0169859358576986 0.253507515875553 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0120703459129461 0.0597486526851273 0.000311051446538629 0.020447968180003 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00433209330186841 0.0197046777379548 3.50129145484096E-05 0.00201278086695892 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00271357224831908 0.0126828602695042 1.4603293232147E-05 0.000716303157817178 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00247500133764106 0.0120060747671029 1.35433939541507E-05 0.000577023351057921 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00493799356546928 0.0691733700883404 6.72137547391262E-05 0.0273139839212387 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00500583016941388 0.0505651278945562 5.57174949626105E-05 0.015918531496784 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00602700703450534 0.0809338375798118 6.92405931058526E-05 0.0354770836941491 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00781873222595876 0.121320879800299 0.000112204027033692 0.0761123121728658 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00380278473249062 0.0338680301678094 3.02630774946406E-05 0.00345001553709204 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00307773085836136 0.0175485425766251 1.77447228863943E-05 0.000825866614289865 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00515685678415477 0.0239151356296901 4.77885238756051E-05 0.000988170947291859 NURBSSource NURBSSource 20 208 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00775879056794349 0.0379626062102058 0.000101270753761928 0.00207979408041125 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0218328845434681 0.111198834700263 0.00104987993724971 0.0463785901638937 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00812509821162282 0.0437431644933388 0.000147916666103002 0.00650670481962152 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00461885602359216 0.0254097539561978 4.90940604954903E-05 0.0021302406139125 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.003418798093767 0.0188950717323908 2.84161256614372E-05 0.00116720571620373 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0106356007712674 0.097442429108455 0.000308450105627512 0.0401282381239236 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00563530100220165 0.0548532325368301 8.0444945418422E-05 0.0172815866045298 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00620851397705966 0.0823280465482219 7.81140801879891E-05 0.0362094879028895 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00791686690091075 0.12234622883517 0.000117650242236312 0.0769986785228231 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00810423765527042 0.0697393089659342 0.000160892396700038 0.0118394532368541 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0039346062944652 0.0259187041614388 3.24817486927788E-05 0.00152705882548175 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00524803886243774 0.0263915321781574 5.07572418137538E-05 0.00120100448026928 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00777732523373164 0.0391487464983836 0.00010422397183001 0.00221929465876494 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0368784564851582 0.185998296205164 0.00339272338705292 0.11269048117613 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0140714697381911 0.0776224762861022 0.000490599120071264 0.0183462788058903 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00773485167084167 0.0444553335019482 0.000150059024408199 0.00589074270940427 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00527478090763137 0.0306212431465999 7.11339178760303E-05 0.00277614860939444 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0191382868643666 0.142623289340048 0.0010277330548723 0.0719369960119277 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0073374293587151 0.0652513662250224 0.000147487386044583 0.0212472614371532 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00661035250678018 0.0844126810956865 9.70957080501836E-05 0.0375665705068756 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00805070553006662 0.123671846887376 0.000127686311091949 0.0782547727020446 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.014890297198464 0.122769606666072 0.000590812862469329 0.0370955929082525 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00577468151280344 0.0394450081575602 8.12096092403158E-05 0.00345738789979006 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00577019723751992 0.0311135456820449 6.40109221191757E-05 0.0017149494528824 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00792493014627537 0.0410774830043886 0.000111641186975291 0.00251370855701946 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0712900652885305 0.349612979874476 0.0149275120299861 0.357458129174329 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0267921333007025 0.149223739894216 0.00193265008708085 0.063435564896847 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0145606672592411 0.0846619531316225 0.000562226360019914 0.0201852759711807 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0095541146314396 0.056617641038417 0.000241955952676317 0.0089323071784667 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.037554482583478 0.245302964642421 0.00418406174439355 0.187452519931833 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0121522446481701 0.0930522673034199 0.000420025646676577 0.0354372543121688 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00817738056144426 0.0913201675304524 0.000169534257379015 0.04243137887206 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00858348277741776 0.126879029248555 0.000163524041577194 0.0817165548550639 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.029466678037513 0.23426168245536 0.00249906338790639 0.138541769944564 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0103079581229259 0.0697474603321524 0.000290629566112803 0.0112019302918732 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00747327174953696 0.0439077027146687 0.000121223275754677 0.00372519409003774 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00853163108291405 0.0474952860888503 0.000139886430355318 0.00359472631391792 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.309501005838621 0.935935036184309 0.460188800333908 2.11256474583902 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0839328199164256 0.437882412908234 0.0229077940539194 0.509926610594781 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0431740897984857 0.249541248429805 0.00534835102596327 0.16718921666881 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0277290925893921 0.164287249712826 0.0021260181359991 0.0723446770599776 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.140347005664984 0.66803779674747 0.0920753258076877 1.17684868870793 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0350654389442198 0.225529193587548 0.00380249870164864 0.166877590657075 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0185475603523972 0.144315672222052 0.00104343014872795 0.0896511591793424 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0143872971383865 0.152080917787514 0.000595188019491548 0.111291688766184 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.108573545967779 0.669988541592425 0.0638340477911832 1.09324489744841 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.029773984590693 0.198587047887877 0.00276227679452125 0.0947305349665847 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0168464801824519 0.108546751632313 0.000790616256565322 0.0262167931110097 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.013200781113501 0.0897047318706137 0.000443137653365799 0.0152616391780196 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.66243767464517 1.42340663303198 2.26474404243482 4.44890682984336 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.167488382879012 0.7049763242351 0.117933047448094 1.23763248282095 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0743650541207528 0.414437311215372 0.0171587056448294 0.451475385180185 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0466450287727972 0.273178874615266 0.00622912823354021 0.197185573592102 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.319596038174801 1.02831963380472 0.55775272903902 2.49876494191393 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0624950323463268 0.365682062531122 0.0142303691829563 0.406712240480612 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0311918980061094 0.210626371767925 0.00336685248324137 0.174810576016692 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0227030229326043 0.192599155181864 0.0017530186875246 0.165664500406978 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.251405538862871 1.04820647127356 0.404352792213681 2.47501042516648 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0500970900217181 0.330221572504609 0.0083893959311028 0.260829431174127 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.027460709473971 0.175962551727455 0.00223852379480168 0.0717641612039409 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0193771985535942 0.138318328415398 0.00108766176150827 0.0392764106342081 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0602681294879781 0.279405447269061 0.0108154109253562 0.245001215405156 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0229493424403891 0.11611356725812 0.0014477777930597 0.0408648400214499 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0125023700315743 0.0658466284930552 0.000424461410776084 0.0130489556227327 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0081368342525759 0.0442617316530789 0.000177255496687351 0.0058678891007809 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.030623377968921 0.2081016740701 0.0027387345481737 0.131721472171817 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00997333264602534 0.0770396069290867 0.000263800078222116 0.0257532709264542 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00712730137629802 0.0825098655115117 0.000121422974349248 0.0358919142184669 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00822000945104195 0.119596114801842 0.000139506878373092 0.0738512455338103 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.024723172931189 0.190650666034136 0.00182098816975421 0.100216469528887 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00874579278888036 0.0559709319652436 0.000187331711353409 0.00840518174049439 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0070991549335917 0.0379624447097814 0.000100900950203852 0.00311788441137321 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00852586715900322 0.0420316012765492 0.000127426096978659 0.00316828287737261 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.131097374066784 0.530248217772362 0.0665431482304315 0.806879952602546 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0451637474572586 0.22855910034009 0.00609160093394906 0.153419522325925 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0243924585742711 0.129754256879073 0.00171051119478927 0.049486945509243 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0156043838002657 0.0861530095736194 0.000684847726425308 0.0217725620310077 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0621678806496785 0.387460963063454 0.0125783724088182 0.421038238090249 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0183885727835779 0.126548282072055 0.000953859577819695 0.0565714291500305 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0105997209868146 0.0988355007651981 0.000301242782936172 0.0454980804517443 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00960942998707318 0.121561078572811 0.000224360000319878 0.0758816971185856 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0499953535851456 0.370694681980837 0.00800864363744517 0.381798444284845 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0163090842883871 0.106755543082756 0.000717154128085686 0.0319832597059768 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0104817725046489 0.06406433037937 0.000258696879907228 0.0102506042395447 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0101109282036364 0.0559685842128502 0.000199286483449704 0.00664594918015062 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.342648316531512 0.970067542390604 0.593964172250973 2.43212100444514 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0962843413132102 0.449079560164781 0.0323640057262655 0.563657744627728 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0489761476227246 0.258252057623501 0.00731023697936998 0.192013143614902 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0310410810673709 0.170824130123375 0.00280941420714426 0.084561297800035 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.153058063297836 0.733937832476957 0.109275917299063 1.37381915708696 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0365462700488347 0.237627236445078 0.00410066827876616 0.174444924470098 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.019327107989727 0.148486483231405 0.0011101135858478 0.0852086394267771 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0146577051663072 0.142814756316554 0.000605091975394835 0.0953506870356488 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.130019205107189 0.704728677190166 0.0807942656198476 1.31105938127365 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0321314015809096 0.21051509067038 0.00297518978603567 0.127085606284244 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0183840150625403 0.12124627306317 0.000916782507394793 0.040365005632089 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0143659062674141 0.093191430862924 0.000485700804820161 0.021604489126127 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.58117571410329 2.37779165911474 13.4353146715942 13.041434244031 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.446361751566796 1.17392383021355 1.04899136382689 3.33157479475761 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.186834293157582 0.723631590228042 0.154610115620795 1.38201352940261 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.102664116329887 0.494496092156983 0.0376610525055679 0.683195847175428 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.852235748985832 1.82592669457379 4.28083550026884 7.40634247678497 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140469174575296 0.681483981521407 0.126167141874419 1.2535449687907 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0636577821296627 0.397135076425891 0.017631928132895 0.491883330701736 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0440653323627319 0.301761480358048 0.00808837003221435 0.324802287431397 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.788712051852938 1.73227752672011 3.82474600667534 7.11026335762854 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114171580221896 0.60840019938521 0.0589491075238865 1.01067837264669 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.053931569841782 0.355808092906331 0.00955782043830379 0.361909432444732 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0358503638492528 0.261420028001129 0.00389637197282384 0.188751456216103 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.91085277102874 3.68217790713257 45.353841206508 29.8978587762372 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.910972268895819 1.75740111250881 4.48697447408752 6.92337282046619 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.394138700241633 1.10295405299029 0.808482136412802 2.96629322017571 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209161381771978 0.772670814312471 0.206642173240455 1.5667781614945 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.76866421424535 2.70570368146181 18.7640141139884 15.6112084701984 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.329519809851674 1.0488424401208 0.842248111887245 2.71803531725524 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.137052405116042 0.629314551316435 0.114713911080353 1.10513694771379 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0918746903765298 0.467404782218971 0.0489317420358135 0.677223518216191 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.65852689944825 2.66996788459367 17.0058588327019 17.0569753001226 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.258403420336082 0.948187629437967 0.373535447434915 2.23979161408657 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.10185387778736 0.581596999466071 0.043699545806083 0.915892858858005 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0615855701231153 0.429878613784968 0.0134768447098343 0.500657099310197 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0118227745871184 0.012138367437777 0.000283787671301761 0.00056908250039587 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00716463921938498 0.00993777796383773 6.77659088071566E-05 0.000233811211807812 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00795547778210568 0.0116297753952456 5.4889020338318E-05 0.000209273533957825 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0104150195911147 0.0161479451664691 6.97445037597875E-05 0.000359534074685825 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0181475441691369 0.0226541584162888 0.000827733243414447 0.00174267278460822 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0168254232694678 0.0266587043203982 0.00043194654176704 0.00252083081797825 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0219675494764917 0.0302053747119595 0.000427217272972153 0.00376358057482832 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0306797148321997 0.0437381285819184 0.000625894354158336 0.00908315524425973 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0110192030540578 0.00648582124941204 0.000418094957161656 0.000102970247951156 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0064543919755864 0.0134352869529063 9.15918799677314E-05 0.000114406058533621 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00843308767792758 0.0288544668972015 6.81000235791724E-05 0.000519822274912538 NURBSSource NURBSSource 20 209 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0139963864808839 0.0490840556231202 0.000157830787838013 0.00180362392364147 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0408138701579018 0.0319645680087668 0.00385603191834363 0.0031255252994302 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0172094179718365 0.0156484282877254 0.000618801111823889 0.000588846990089289 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0117973623986895 0.0135908862623335 0.000204903999766891 0.000296297690688078 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0116276427499649 0.0168106098775523 0.000125486426744435 0.00038606459163401 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0305137172135086 0.0298589911134552 0.00238937180180543 0.00282369385123843 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0180891976518357 0.0270778114339312 0.000548883907136684 0.00264234660173153 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.022266046144058 0.0302972019116158 0.000452361119129922 0.00379956943796675 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0307116058370621 0.0437688854433391 0.000627634843579495 0.00909043969702946 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0225753654711142 0.0176064474409201 0.00144512853805457 0.000727627033990157 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00886246346480059 0.0141055329352678 0.00017298800324153 0.000145612093989621 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00915818036202825 0.0289680582729304 9.02412355525321E-05 0.000526519462172989 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0141004593234203 0.0491822187046792 0.000169743828492527 0.00181440084718866 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0782577168069608 0.0611205911226182 0.0154206075940552 0.0104854660006645 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0321171185547167 0.0260257791025603 0.00243171952615026 0.00169381435073534 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0191763105777382 0.0181253515734284 0.00070932712663158 0.000586067497504865 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0151626586912461 0.0185323193576469 0.000310365642183702 0.000493065144368814 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0520161267555487 0.0452765749140615 0.00719067013422599 0.00605758924041085 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0217256041179611 0.0287534300275792 0.000922583387143414 0.00298893731164152 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0230776461603977 0.0306065652424372 0.000528794504801419 0.00389334341802623 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0309279021276322 0.0438501954953534 0.000649125932234848 0.00912617648677719 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0388810207778112 0.0336394926245669 0.00427572316883638 0.00275577592697105 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0133988039409627 0.0160746110819348 0.000415771853246072 0.000250410291451609 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0108205182072716 0.0292743495681896 0.000155160606623194 0.000551046477739669 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0145009322737387 0.0494079928934812 0.000198452661777472 0.00183728374600834 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.15412388856059 0.121003338043107 0.0636279014161972 0.0385297095016392 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0631463277168948 0.0492844608289458 0.010022605651939 0.00621530916881943 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0357031952555123 0.0295201537834685 0.00289849508896677 0.0018326868669133 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0248268755591665 0.0242348906950949 0.00114280236208704 0.000974637275546845 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0996113934958783 0.0821868598529957 0.0271548601812339 0.0187057293654788 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0335641000302938 0.0351045554641841 0.00255259686930128 0.00434693309703647 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0258370013901914 0.0320777922972683 0.000840536637436803 0.0042755338097099 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0316122273999142 0.0441623473819448 0.000749241129052156 0.00928379581096356 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0736367504956256 0.0666235716623043 0.0155126165121752 0.0109662171564411 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0237665330073446 0.0224451406769544 0.00140484537167412 0.000720683479673369 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0156484056525425 0.0302297934108519 0.000433303639224022 0.000654298448148162 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0163479478448738 0.0501176676297136 0.000311298599473027 0.00191908716464457 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.447670853449869 0.374912979273148 0.593086295040065 0.332101307704199 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.187442837565758 0.146662632730137 0.093725480544701 0.0545192691851006 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.105057038957596 0.0819427029998789 0.0279459759680754 0.0162370995319178 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0687836356625728 0.055762554169121 0.0111616883732408 0.00685799880188028 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.292580923170337 0.24349914222894 0.246854548044748 0.150528408920122 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0912615552429406 0.0765091732776938 0.0218672492383839 0.0180780097558986 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0482340211972934 0.0460888372989278 0.00466998689853168 0.00823436336000533 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0391897867715005 0.0487090476151202 0.00197711808906516 0.0112471218254851 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.216262845100772 0.201879352538684 0.138764820558148 0.0962833526988809 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0679358323680389 0.0563341515636225 0.012311667033762 0.00658399983548296 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0396189549069911 0.039915382548703 0.00377396688406987 0.00188026344519953 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293848851214957 0.0546033777255699 0.00165209780140461 0.00271886601657187 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.733958123338875 0.639695127176127 1.68538405481614 0.906897223730131 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.308544142478118 0.24750723661157 0.261524113266994 0.152485016272378 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.174162463296098 0.136355769773161 0.0790188476788819 0.0457341231408231 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113808174197461 0.0905199502511654 0.0320996449987857 0.019333588982956 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.483872353917152 0.41121426254864 0.704096513346837 0.41155369078647 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.1513608363566 0.123344774721068 0.0626222673403333 0.044537107095654 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0758320262937752 0.066342616219103 0.0132648280208356 0.0158589953122732 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0526881552207299 0.058509933789577 0.00481716262323692 0.0155336544510567 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.357020324902514 0.341302732010267 0.391559569599193 0.263226985089413 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.112319712323734 0.0925990424847918 0.0346355685449878 0.0186795265895625 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0648666399959061 0.0549102580128657 0.0108446033981906 0.00460930807424961 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0453371898037768 0.0621131261670684 0.00463965124910898 0.00429406662980745 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.120845869759212 0.093889185278854 0.038650914071663 0.0238331735818612 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0494134048875233 0.0387941620308364 0.00604486305831454 0.00386429526941395 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0282087537878639 0.0243078393430834 0.00172255685890263 0.00119836726151361 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0203125073579007 0.0214351375329937 0.000694661352373745 0.00075589944814111 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0804937096363619 0.0633001248672888 0.0167691700364355 0.0108323282520385 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0279520511376916 0.0308972785524858 0.00161860234475017 0.00319663695435813 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0239002665903004 0.030801566813219 0.000623853643484057 0.00386846557317148 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0308380536830138 0.0434675064030959 0.000686666562483878 0.00900127123493634 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0578892645743539 0.0530088586033171 0.00943270473066075 0.00727238104302206 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.018329519704917 0.0197084929643364 0.000852328258143752 0.000518797219085651 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0128273449410049 0.0299946337042235 0.000271008315652812 0.000637566293904877 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0153019279035311 0.0493686410703095 0.000245698613312238 0.001798052446744 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.239089563299612 0.189204840889293 0.160172253434512 0.0902558944523566 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0982656426489575 0.0757667514495178 0.0252041354748564 0.014831540798602 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0548612313420494 0.0434619302216204 0.00730116398834111 0.00437377057186845 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0367360627553202 0.0323267968847616 0.00288908136624795 0.00205960446875133 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.15705464592574 0.121747273762258 0.067240806129323 0.0377604426715013 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0488342598909036 0.0427442862897615 0.00571587434350848 0.0056742781971991 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.030140584746667 0.0337052694841585 0.00136124411316466 0.00450938724057465 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0320118647115466 0.0438178802332214 0.000928347542283001 0.0091781689467216 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.113999171385331 0.105674232500995 0.0373035528469984 0.0284062383046719 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0350244472418414 0.0314586554557435 0.00331003320297208 0.00183004267865301 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0212456039524464 0.0323848417822238 0.000983857519388764 0.000940999221905766 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0195504275737403 0.0502590002071958 0.000553952808129206 0.0019073993847477 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.471365946486032 0.388692374736421 0.658995386801129 0.351951680278438 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.195718778684017 0.151776736709922 0.103894465541171 0.0585054645074037 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109000841094477 0.0845376320544576 0.0306341511316782 0.0175519410480785 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0714878169753204 0.0579977870453146 0.0123613010171542 0.00763092346115634 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.309302650406584 0.24600819976053 0.274851274831573 0.144198426817772 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0943154499247588 0.0752058405422205 0.0233671113192407 0.0159010913007702 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0484949303798924 0.0451386047869446 0.00479589505127126 0.00740992102225668 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0385395263356614 0.0472315433718615 0.00204515429519688 0.0104400697425653 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.227283684672494 0.212321536691388 0.153447696828985 0.110041050539804 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.069514088036717 0.0580813914527176 0.0135609674320866 0.00740857030649798 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0403169285941334 0.0408397137142927 0.00416513416848169 0.00216680997176439 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.031062703037085 0.0533982450925778 0.00197958267960143 0.00247281183779413 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.36576443025859 1.25122860777226 6.2174434412457 3.10774581186551 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.572814763280708 0.471732832415626 0.950002482535009 0.528122503614026 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.322853786560865 0.25587736495403 0.285281761640572 0.161486936249436 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.212174008008327 0.167706075580559 0.119328598066976 0.0693001171159434 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.892040421329932 0.796197133494743 2.56378510505386 1.33080950808297 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.281963946569847 0.221668244759466 0.229794807346904 0.125097290703925 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.135567865521683 0.113940479198387 0.0494805191421375 0.0391101518397403 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0853798939147651 0.0845281624481026 0.0177946861286224 0.027181464900873 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.675531373972796 0.660151658890127 1.49865237314234 0.917738460214635 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.208661652055927 0.170554093933886 0.131065423771693 0.0673515370651497 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.120277817599205 0.0938369741072179 0.0425074948532429 0.0167242571305254 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0860453246829313 0.0813551237838767 0.0207806280133443 0.00971382830031266 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.256045582743 2.15612929532781 17.955119367881 8.57238558946991 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.933146213004923 0.806055521373678 2.63351456960987 1.47238238586025 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.52876296017335 0.433542682016219 0.788425003387568 0.454332765800888 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.349642399156315 0.280733519943829 0.333067195773231 0.194698362083806 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47794835841942 1.39370341115088 7.6005382741559 3.85497023962851 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.470008778379651 0.38708352182465 0.670181250920404 0.375489145624108 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.228406943869352 0.192275381283842 0.154135427592946 0.104997871575986 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.141348283025547 0.134977741841352 0.0576538285215174 0.0624742571864647 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.14289450318721 1.1378518442137 4.74004722716265 2.59946290049798 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.349253243582893 0.28799802921127 0.387318137484414 0.183732068074845 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.2032102169985 0.156306028422115 0.129135480268312 0.0479737759073435 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.145581129785988 0.124524159810273 0.0655496651410512 0.0267956852678506 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0693870503174564 0.0489689429618814 0.0160924771871588 0.0166247856282642 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0380426006089455 0.0205243749524768 0.00363699702193479 0.00234661053081261 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0405265122517446 0.0191254467930154 0.00426491386196273 0.00154905840331995 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0589439837182831 0.0271040176461917 0.0088639597282096 0.00305977722584954 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0676883497427607 0.0387829700281863 0.0154905188657434 0.00531166928017771 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0820180445049711 0.0369003650220949 0.0165513083276178 0.00405547098972651 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.107495232311723 0.0459146254119324 0.0216963435244167 0.00627662782146395 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.171863458569978 0.0705607411346454 0.0509901259994866 0.0182461616491264 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0389867572288659 0.0306150761703658 0.00621703897843181 0.00533344649312089 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0286978691185848 0.012453442843832 0.00312487783448264 0.000582894286508457 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0570823361332735 0.019736040804749 0.0116440092328004 0.00176261516271642 NURBSSource NURBSSource 21 210 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.101130477924883 0.0360703789776062 0.0365452823343689 0.0071334468609018 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.152915661816138 0.111543938098865 0.100824424058236 0.0803972763239574 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0599268299204087 0.0366323032796485 0.0130679575448192 0.00875956233180177 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0474253170953672 0.024548007648305 0.00659808606181935 0.00302315593450223 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0613878197635099 0.0292466833694475 0.00968496024024776 0.00358960604726442 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.111714989905147 0.0760492877349997 0.0745382006962866 0.0320291797391264 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0861345944676861 0.0459230031444319 0.0196996614917056 0.00985091633618254 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.107791652945718 0.0486238271166297 0.0225097663228599 0.00730759570736298 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.171648729744064 0.0721184768574316 0.0517217337161502 0.0189579738716439 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0883889228097267 0.0706154905009458 0.128406347415391 0.0280575155786082 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0363731666750312 0.020844661472468 0.00559660125849596 0.00176045683477509 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0589515188295957 0.023278350777974 0.0125170721260695 0.00251603535931647 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.101560824230757 0.0378304579017224 0.0369748933511711 0.00740427261087788 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.258692160495324 0.205719847265011 0.373853949079249 0.34791802930347 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0891010107176247 0.0581338900257345 0.0311888208096384 0.0174388327292745 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0591512807333947 0.0341320463160018 0.0116009639532359 0.00655712006970251 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.065584271894737 0.0335677107305611 0.0115469310140172 0.00490832245745524 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.182121252641471 0.125395570563706 0.273091203218778 0.0949245826794119 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0987502566133023 0.0602633025108046 0.0298479353690837 0.0243463524661481 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.111274175316115 0.0532927304683955 0.0255141030851851 0.010101990267386 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.172167470325782 0.0749970342867732 0.053582672807495 0.0206150301564839 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.167914260665046 0.127974432228416 0.594778640735474 0.121991947419619 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0504470907428138 0.0340292207196226 0.0135078151355716 0.00511081588788617 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0629406198087276 0.0294889300440372 0.0150113573908115 0.00474366713207502 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.103134024106207 0.041122967443579 0.0385576374662665 0.00863214156941446 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.470523794294944 0.420841452489488 1.53748844084555 1.57703879545886 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158550205601191 0.109778986378782 0.123922502912279 0.0542823116913002 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0866692120457875 0.0561087222435313 0.0272756147464998 0.0171809339491722 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0771681852735318 0.0450612618148509 0.017719095823304 0.00945420770958123 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.335053366857647 0.238294040501616 1.11489016251926 0.360801992967137 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.132148672261116 0.0908343770265364 0.0712709648423068 0.0509954466883585 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.123409074896435 0.0653907378452491 0.0371079670925673 0.0202491862395157 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.176053216567555 0.0828326888472219 0.0604231302496704 0.0265724485407308 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.336563980692794 0.266331555688504 2.52819887732189 0.64683966332507 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0846662368414055 0.0634583851960597 0.0474892105690121 0.0183533285378877 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0745962038861283 0.0449160577188919 0.0260963481302118 0.0145659693600064 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.108832786270884 0.0495281955673354 0.0459019906969643 0.0142905006876127 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37087150662174 1.46719354089774 14.4078486010595 21.7537978378984 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.440203341897638 0.369983718470668 1.21046346137346 0.857408577775019 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.216442762186502 0.172169430839846 0.21570744956833 0.171407121179237 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.144420551585107 0.114748641821124 0.0784514594432052 0.0866856433219146 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.00406063938862 0.779443728094875 10.8518776180034 4.02680978747277 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.321047965698543 0.25387951814849 0.713103803618756 0.476043069804743 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.207866248862719 0.155392091853445 0.187663042872893 0.224719272469542 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.219785078483857 0.143809626664842 0.139447417858534 0.186344210365589 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.06501688455619 0.978824816044036 21.1867563395472 10.8323618081028 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.267166353674667 0.199481357532718 0.900602746315895 0.208856190569218 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.196936581913084 0.160889105474277 1.01385748034713 0.840870782316687 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.176931380204374 0.115563898148487 0.33718000194531 0.263424809081293 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.24128874726211 3.62005832960302 37.3471672683189 1173.72635047843 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.706860189093262 1.0258671519361 3.20194699935012 92.1790195886615 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.338195966787246 0.494078864208901 0.540615973463684 23.9844001979889 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.215557737446614 0.343205849521644 0.17630757572543 11.889142649013 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.92412542975227 1.44864805440664 71.9332847743614 28.5407572801506 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.536918069923806 0.53932278416059 2.45541519811846 9.13979351840537 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.312721206513305 0.387495154782493 0.584333426098827 11.3154328768197 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.287887906487525 0.332688371672781 0.339424882727681 8.29333809497672 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.94023036769841 2.46708952874823 59.4403353151808 340.900064396603 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.706476683807807 0.357163007488364 30.8931389272166 0.8842754873723 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.571783689432412 0.238643657883479 31.748599503863 1.035840628857 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.366275161664318 0.181520384277466 8.10580235089761 0.655745025714704 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.442188265665273 0.386520353436424 3.57268052842229 2.03953221777487 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.145262713040602 0.112279675748974 0.250629369026843 0.12595250002488 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0811124402905719 0.054482926794841 0.0565813557858233 0.0214361656666688 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0744792300799442 0.0425487090655488 0.0227992414196222 0.00868642499764067 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.323973459868098 0.259649464431448 1.23141207520972 0.976744890940738 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.137948955068214 0.0904298285638564 0.137717427450575 0.0623221351774838 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.132288122538109 0.0662685451883806 0.0736953557463731 0.0209104080702275 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.183877429759883 0.08198349877937 0.0749727690969923 0.0255325637444256 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.263366600728129 0.296178883827465 0.496690894750702 1.99666844098229 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0909907834249588 0.0610074655672703 0.0840790744676862 0.0217936062271904 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0809634549988089 0.0395155811631037 0.0465377980374128 0.00753030456539895 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.11051423254915 0.0440294550626114 0.0565930177794165 0.00920420552364368 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.897391409045326 0.8094152024353 20.8070523929143 10.1803772036946 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.28233794402409 0.228256382512514 1.46845544817565 0.703476120359256 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.144076988588823 0.106067309687287 0.314397441892304 0.119951287634152 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10395175435424 0.0695967969147577 0.0828398769397395 0.0359762623150773 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.635103628818528 0.559675005400685 5.97887210314559 6.33136826644406 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.223236963846306 0.170585383983115 0.541435827799579 0.382054826278846 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.164389226896662 0.106009599434764 0.23135891036887 0.115336455684084 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.19502198190294 0.111552156663645 0.099631673909624 0.0904280168349913 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.546604379169399 0.657514366251711 2.57273247213484 13.5152266655321 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.16454173540648 0.11874803378016 0.396896369907438 0.0872021329514989 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.12347767251857 0.0675197292674891 0.218342401362819 0.0273891506978176 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.134456840095028 0.0584623620944094 0.155202629796346 0.0162550246452728 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.01675238460853 1.79146172746193 169.837357623275 61.8807934071475 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.659249823249332 0.535663075853876 25.7611672409238 6.35568803404385 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318264408711893 0.255432063439736 6.29130433456987 1.60453911312042 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.193458933137981 0.175530363938815 1.24975288193353 0.876282408527288 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.3781733380077 1.47202198343546 41.2902215509433 107.541367734769 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.412833792228557 0.443835527382737 2.73903857682112 7.25987176906148 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.260885287970593 0.258973855008998 1.45916063471143 2.37765251522251 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.227376101383266 0.228877948573867 0.156423443692785 1.56865747240382 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.31178380640813 1.88203554225972 31.3690399048758 341.801679566086 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.38908596346266 0.260789277247163 3.55237801569902 0.743599007070848 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.306424253605012 0.133216037591033 3.29955612639498 0.121953569415074 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.290846879796753 0.100236469550643 4.26194363308532 0.0904101266386066 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.48604035438545 5.79194337936435 1296.64127978791 474.380580164683 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.77195342828848 2.44368236566153 594.021231782434 186.954582299627 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.7252482585714 1.41602119105321 334.323704069758 94.6862583805407 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.28561626015127 0.98318577273256 202.6317100784 50.4286734759414 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.28185560663045 13.4926004537268 15518.7674192964 22608.6911154218 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.26915915908942 2.82436925887174 10077.2364634456 686.29289948167 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.27608260396102 1.1250218551014 3158.37536138316 111.105028933056 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.85691875142165 0.777609768215386 696.194766419145 35.3531262963476 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.03464955457556 44.9918454626004 2271.66056819632 733642.436125081 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.7496290456853 3.95095834150447 123044.982923859 3888.57364062019 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.59421489971131 4.76516819200377 744.54202070524 9281.49679674709 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.13023217908472 11.2416621062162 12046.783537639 59392.3712732564 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.81961577825241 11.6973377685302 1194.16113456181 5644.01763700726 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.94861518098597 5.68566325790596 209.486701485328 2991.39613856775 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.72762536118376 3.77809389560602 133.547320099823 1419.96819744878 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.24284431798297 2.56467600664817 101.288058123038 503.98704675389 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.3318864481436 17.0148380725586 13967.2905667145 36585.5869053562 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.41561987564187 6.08836503210762 4889.92819803358 4459.26821657807 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.76762678893615 2.34717925050286 1274.9936759131 468.400495301774 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.76185739737044 1.68752143096841 402.68547355912 135.130671348176 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.93951419015999 69.7699576190467 1368.02298737366 1045306.2968828 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.3890940358663 10.6871555413144 86996.6840147728 25176.3130954269 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 47.2579441308563 5.10954084335473 1483538.37881407 4135.34303566207 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.59883489299374 16.0031020463054 6820.73041361221 159212.152973499 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.072956407925102 0.0697196838208866 0.0126159510706923 0.026160777214971 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0278741499902429 0.0243622811799841 0.00147699223251345 0.00306414046888077 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.023525344730549 0.022377106358074 0.000807758250257044 0.00353896819687207 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0308195547760177 0.0272999251277027 0.00127080190574821 0.00604577424183964 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0681811822391023 0.0627461369641515 0.0133290429295132 0.0176281538207232 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0578790699545917 0.0651592105942558 0.0076463240505647 0.0192563545855191 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0748017697973764 0.0908161358369754 0.0107938810027148 0.0512662724949026 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.120619770661111 0.120940013096207 0.0774340067212744 0.0890831250879 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0532525367133419 0.048574756133033 0.0111093211056681 0.00882256648689055 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0219948180813031 0.0257719322824087 0.00131922859177922 0.0019311719748411 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.030347720046209 0.0492530989885592 0.00389190568818056 0.0205426020631323 NURBSSource NURBSSource 21 211 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0517661456352152 0.0868854393482706 0.018838319448549 0.0645382441911626 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.199157011086124 0.20437782536665 0.224198259923636 0.236037438987423 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0669579324466728 0.062652811666911 0.0167329074983813 0.0184132533471334 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0398631538598842 0.0393518426969177 0.00415177692164904 0.00861714231528478 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0380612241014284 0.0360464990646888 0.00249086803883835 0.00917035823076447 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.138925988433167 0.141127830224129 0.0917717769114394 0.104815731613052 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.075550455645341 0.0796969718715078 0.0183840764626392 0.0290555951368614 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0818087099485293 0.0975848242466675 0.0143372360095043 0.0567494239267343 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122264584150937 0.12293863984823 0.0780512413553583 0.0898556044159932 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.122127566553907 0.129191934763102 0.0750633758048064 0.084492664658863 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.03868537444848 0.039498774584285 0.00506938199622347 0.00502162962038766 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0363406678645907 0.0544050158165881 0.00656467983006058 0.0224553088180534 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0556982261231769 0.0908631167150971 0.0219860969182372 0.0723525072857089 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.367142647022717 0.376558345444947 0.969201547545701 0.863277604036916 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.117506142327142 0.116313772470129 0.0649044137012502 0.065795857100448 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0636341476617191 0.0650061919318397 0.0143793301081933 0.0222519306168228 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0500313340178757 0.0507962241211449 0.00620395912756336 0.01667233988906 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.238410409442964 0.250169283030311 0.344027030049133 0.372198449355881 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105376676725479 0.104950498003844 0.0514680149818473 0.0558845912209678 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0955830221414791 0.10968515394995 0.0253137775641601 0.0672077097769027 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128141825980112 0.127333981270543 0.0819350190010826 0.0934766718065067 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.211547171034649 0.236865060904228 0.274671050133998 0.329865933061172 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.062491408564377 0.0605777189436355 0.016190417954907 0.0135918358448495 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.046166369517624 0.0671872252203645 0.0115205957363277 0.0332240210461692 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0649018961182108 0.101231168186352 0.0300161127348051 0.0885532235553201 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.724602371595433 0.73404936295233 4.28918903046736 3.38691099101869 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.224452019471442 0.230879832718715 0.278697885330821 0.265739872508712 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115277930358384 0.121861814725923 0.0590220786931152 0.0767556412637505 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0788560193432502 0.0846527920233377 0.0221660737940556 0.0437546148145541 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.451227563660095 0.480301462538328 1.47916461136811 1.47255039035147 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.174996501369493 0.166102613040821 0.199602268641219 0.164143494145127 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129377757016921 0.138552392078359 0.0744270369219238 0.10510681398197 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.145770747967946 0.143224453470249 0.0997031147690324 0.111799248929386 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.405192004665273 0.460489169538252 1.17297295889742 1.31349524682895 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114045141926304 0.107739300767469 0.0628961433520264 0.0483375946913384 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0721443678646343 0.0879524239575159 0.0320418755481446 0.0431353566838702 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0983141981218003 0.126482609382732 0.161895396401289 0.147724748525241 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.32001795694856 2.28021383123781 49.4617831975349 33.397540641738 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.699458980478848 0.726184095837507 3.42891453485807 3.1055307818621 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.339681960456182 0.376406927470759 0.722206596529292 0.85446672573329 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207921660756584 0.240541889826006 0.243565913762626 0.351147738572749 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.42957264682637 1.50705189843502 23.8300616616746 18.8689981066857 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.519351778462141 0.46447459201014 4.41148615700716 1.65292313057474 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.310181499323977 0.279489222054391 1.69556899399584 0.568283657888585 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.243882726788294 0.23495141289032 0.359560336499899 0.341754500091797 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.33134370718747 1.39241349857316 18.4853693966776 12.11743261124 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.341580391565722 0.324202080774713 0.729347342095157 0.708619843478074 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.192378804438297 0.210255156997627 0.306986096102024 0.533381732369717 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.211378146366764 0.207325214797369 0.591435904875545 0.445761340098821 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.12502798487501 4.90742244994118 639.999703032481 895.144104701012 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.33396135953957 2.28591111967574 724.383123803496 849.818966135182 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.54360999390571 1.51981624724186 599.715011110151 615.747922154341 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14507630250121 1.09039041413661 425.356450379815 360.205308929831 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.5113390579828 9.93801278931513 80.009645913814 20831.6367605067 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.15840000737799 1.56535470278378 116.031745260496 311.211064024022 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.462933439563085 1.42718664250424 2.08196478893873 323.175456489844 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.351752264760569 0.851877473743406 0.805299086735654 95.3945385007746 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.60352023015844 7.94737808897845 3318.78122788391 22377.0975830792 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.19581765728596 9.64989967315968 15733.2928015255 63356.5204580721 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.13797537099621 6.28759788102306 467.175735099866 27339.8617757511 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.80929220105579 0.331572286031498 94.5853950131549 1.64216357061832 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.587553198733944 0.566373385628193 2.94472418748178 2.45372757990886 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.189299341672812 0.193911596329926 0.246910485676213 0.236334604117953 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0999143580198541 0.10617680069961 0.0537488022537239 0.0709630482214889 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0712608593358945 0.0722609889221319 0.0202293688659557 0.0336659348467109 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.430638681152021 0.398131406912841 1.8763022710098 1.3512033823656 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.146520674597089 0.145432117397431 0.238584673740227 0.229615477305047 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.114483978048464 0.127818285703478 0.0663673287072303 0.143555501737074 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144824560365364 0.141422876231128 0.118345939037588 0.116527541806308 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.408731378418184 0.388907758665639 1.77058144233813 1.41330511808227 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.097179256393999 0.0992184853693992 0.0390649139811005 0.0475984987482992 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0651514812764251 0.0779772550150977 0.0293330202960608 0.0378608081057217 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0708548705907813 0.115155192885462 0.0399269211502244 0.093430675013893 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19122886134008 1.15161063034953 14.1179909833932 10.9897455536464 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.38122939617532 0.386907626646973 1.19126035008788 1.00336178725955 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.192773077303668 0.203373662120044 0.249492645909487 0.275545970519706 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.124763368269713 0.131247623820006 0.0790464234018441 0.105373616621716 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.860940380498213 0.789440256905537 8.70030372349633 6.1718407578466 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.267228348143311 0.267876227399958 1.12060165872704 1.18452102219966 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.172382063309444 0.187957244891169 0.277960226500617 0.581822451034529 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.187965511511213 0.180262073087947 0.26404331599681 0.21664094549364 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.814272324085713 0.789696725145065 7.40007764632415 6.29499308349145 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.187644763068505 0.19807238686728 0.170165353789246 0.225484221754613 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111516419381944 0.122866576292819 0.093680894287916 0.0970102807520906 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106765664769768 0.163380953081477 0.103172091725269 0.284070607454199 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.54302419133601 2.49157212677257 76.7929348141653 64.1314281856504 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.801564665603324 0.806719419944967 6.22108657156362 5.07881877329225 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.394154836031493 0.412676494115129 1.27999419255095 1.26252297362587 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.244299635345661 0.258552297887495 0.368276904393353 0.475864680466838 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.79161074403262 1.6671029495118 47.8957675460164 35.729270088658 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.546996428358908 0.573406550197086 7.17399932845193 8.48469963444478 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.312414859930442 0.363406280126385 1.71284497466049 3.91279382065317 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.297902021435282 0.283981467583411 1.17148853717348 0.842468280961071 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.67502731904828 1.65915591906135 32.6578899801303 29.5206875625603 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.372263102121518 0.427223492687366 0.790886899069243 1.58533394573465 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.210336537947267 0.2482003680971 0.346491640757717 0.768204234545396 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.192467784586257 0.257512509617477 0.39292588166693 0.940929839843971 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.27748916031025 9.70869026785931 1351.07854210765 997.044745902424 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.24025066885956 3.4568906570451 836.163059208957 166.448589030076 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.69657027662261 1.90417408428226 664.742526762203 75.0893551071516 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.15684861130553 1.27491459600883 561.039845627595 44.8175877063778 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.1928931780595 12.3054856279935 61821.8129192571 18084.6399715497 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.78535865893508 4.65208224521584 5206.76030499966 2130.09118706609 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.01690001739774 2.35460516622101 769.772932130322 767.829626103191 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.30943565359879 1.16950574653907 424.305652810915 67.9080432315241 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 31.9543297353326 15.6509451981653 215503.025180569 26261.7196457983 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 65.7662133446804 5.41102397267225 1361472.50466097 3782.78945955978 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.19627008533527 24.7825317324477 8274.55004367268 135941.344270973 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.3035792031468 141.645413920216 29997.1102947099 13768577.3577492 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.4748015812968 14.2149768497367 1731.42897435681 1662.32658563591 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.18853050876841 5.40350365264445 470.544044296505 433.964260855546 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.12024215454187 3.20821375728629 252.17651361559 290.506791189342 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.18588504728994 2.29320762706447 152.689274941846 247.364452079864 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 16.5564029632726 15.8313960878891 11634.7313553168 15415.4232098747 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.51910505267973 5.97651862450815 5946.41370427636 2923.45111911796 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.52890672907708 3.01544438154308 2974.48540822202 285.549222509054 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.48457362840215 2.63157900838126 553.288216819333 362.689752950049 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 31.1072734297574 18.1352479131676 80777.9077429752 6322.55925612264 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 23.0122624835862 6.04171387359129 85454.3812118507 3348.44734980604 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.72407960871977 10.4644123010322 2028.95052153675 22738.8374529912 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.83266718316832 4.96873977939169 543.257891511261 5261.12600857626 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0359544783716396 0.0957779263163136 0.00277059536028554 0.0630387850150367 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0196076039110457 0.0495113547923452 0.000894235036040151 0.0148965987734148 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0237502243249642 0.0568353913567218 0.001416311254506 0.0214585308315473 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0372945045062094 0.0788264314913276 0.00302742816923214 0.0433289631540724 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0347028457693227 0.0882279538149084 0.00461707845031393 0.0391444982464632 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0479767740977716 0.102500651870728 0.0111560663135997 0.0589419550905381 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0683535009355386 0.155024648499008 0.0258778764260133 0.137664076178842 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0970526075402802 0.241795805793314 0.0495443394545587 0.303186919966017 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0199091559742719 0.055763204629059 0.00129392724150027 0.0140876178654136 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0254466423580935 0.0411729259201106 0.00130753419399511 0.00738249394990788 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.051975843046604 0.0902543395125762 0.00512128340724306 0.0574849351616663 NURBSSource NURBSSource 21 212 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0822660486091637 0.142084746234926 0.0126754679220293 0.113988741799646 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0661398037404149 0.138718420961221 0.0282049840346562 0.129550055227009 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.026757070942772 0.0610904495366516 0.00294532167407567 0.0242087202269067 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0253853655099162 0.0594861555792786 0.00187723411519948 0.0235890113399305 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0377909111066289 0.0787376897090956 0.00332144658008701 0.0428641881597623 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0496617904599832 0.111343247018699 0.0136828663732002 0.0567479820758029 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0504948249593541 0.0997916785086461 0.0134720330758277 0.0544654359820054 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0690994262791987 0.151718241051669 0.0268725063894159 0.130813539783512 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0978380537760213 0.23802065042213 0.0506584778282477 0.292863718997862 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0375157679401772 0.0851407820272566 0.0108075786540898 0.038084303015029 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0263159832326932 0.0468261525683698 0.00158034484393295 0.00998873296083944 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0515441448545161 0.0906548165935823 0.00519698425959719 0.0566241300939487 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0828279056708292 0.140925774554643 0.0131078034869537 0.110589536735284 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.114375454459732 0.207588029148615 0.112650817113957 0.270306378511722 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0388161274429534 0.082472781748188 0.0088975085396051 0.0482776618503262 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0293073059952076 0.0673365104421713 0.00289498133339005 0.0303523452367699 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0387465717291389 0.0801435251846049 0.00386447634067487 0.0447090727744633 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0769180556152454 0.155269833592428 0.0412969799900151 0.113371733708903 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0551175336132291 0.104513633947472 0.0170658945006226 0.0568325678822461 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.071093916203394 0.149782159101509 0.0290018872237058 0.126754143016681 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0995661335550533 0.234800067203558 0.0528077986017521 0.28490185690135 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.066358358030562 0.131713077708502 0.0478002478010353 0.0941710068107127 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0310966844379993 0.0563111998272178 0.00312881873424135 0.0154133595275466 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0520362384570896 0.0928164468809566 0.00556358487265638 0.0570627324249526 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0834204279057862 0.140546015279196 0.0137176730630873 0.108050617869052 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.234107627823359 0.346890417790109 0.615626056250883 0.633081109952082 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0676895007194307 0.134339817415052 0.0357699851986399 0.132428295318812 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0392385556207202 0.0882917412662787 0.00595831376572423 0.0560273124176316 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0418126861423622 0.0885027977730521 0.00438838657290336 0.0552555563836846 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.143878293790517 0.260395383691633 0.190468591134103 0.345596199313278 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0685854659177133 0.127902156299128 0.0317114976775765 0.084503965866924 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0773241694169446 0.155107530523403 0.0369045196491837 0.130172714910838 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104734687506929 0.23372755451181 0.0603915270138799 0.280082875515936 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.135669418687563 0.227117193739062 0.27901860331035 0.247295721992163 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0447911649973247 0.0801190919677279 0.0113508783132795 0.0333168032983271 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0543810862178857 0.100809505889385 0.00741055826004327 0.0615678882128936 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0850844212848868 0.141517350953126 0.0150896289471296 0.105336368759713 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.868196620744064 0.899669652112234 12.5887834166179 3.81317057278843 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.232350863894434 0.343267451627979 0.834085107513321 0.649670937411304 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102560804343816 0.198884186403824 0.111984165429208 0.275276994929885 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0704842257780655 0.149512374663611 0.0265782324189449 0.163860480148991 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.48015626084509 0.731071494399927 3.24428235906865 3.99528184537241 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.14925408064885 0.282065499356917 0.315990993831374 0.653443389730814 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.126244500923692 0.225689055407976 0.188272499167037 0.334634361490129 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.141864844853798 0.285204514499418 0.209069146983895 0.529415543515216 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.486567140118854 0.616904183727206 4.76727286838015 1.67375858578204 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.116388822622083 0.196422892107165 0.157232199834595 0.200234570398368 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0818345976315491 0.159550262629008 0.0334204311465771 0.15078623875427 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0932700295185134 0.182055322616348 0.0221685815665602 0.201321664247158 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.83514689207829 1.52972458807194 127.596027693001 12.3757200158196 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.563016200768675 0.552252131891974 14.6290700479987 1.79669720590029 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.28797395954667 0.314533685617026 5.21515902413267 0.699190891267394 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.193601925581136 0.219202443938358 2.74463913092525 0.332387072624582 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.14769557652098 1.32833776131163 54.7951895161579 38.0096963768749 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297297319509885 0.457216749266609 3.42312593593322 2.43674812725197 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.262077777407215 0.315313623301106 3.29126784264904 0.791737319979639 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.255761642208668 0.353111203389224 3.02567954936207 0.909601756410136 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.00550842971551 1.09941848555828 26.1385013790726 7.45359499947134 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.201467859518697 0.402109401037193 0.630753200433448 2.47298639550462 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.124687043784712 0.39347290531764 0.133501805017322 6.28269525689792 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.131299080813252 0.333485183978414 0.184781557080651 4.264910669915 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.198498985629763 0.382707741503007 0.362004589893303 1.27948031223169 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0592835935597888 0.128740917695118 0.0194749979277418 0.113634343633533 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0382414770088629 0.0862315169188261 0.00617969208300265 0.0533085493975993 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0428908398651303 0.0950579192709585 0.00489311169002576 0.0697451810129116 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.126984960130502 0.260642960090221 0.178569577064211 0.49600870932609 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.069756423314944 0.140409122010432 0.0370509327980846 0.136380018501885 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0788569797828602 0.169035764530128 0.0369814837713451 0.17299382122039 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.1054544075225 0.254440526589453 0.0582410222841999 0.354903226666814 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10457884352295 0.235555434880932 0.0909047066697547 0.361977716503316 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0420032584601634 0.081670149095712 0.00782552524413536 0.0428679134197494 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0564962530193902 0.101979627857577 0.00767526042764734 0.0569759669489556 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0810791118036549 0.148857347427676 0.0131491180691725 0.114073148848301 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.419565749131891 0.724181841962571 2.08102380172355 5.70702336073159 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119862316603892 0.227289806763069 0.138363911123429 0.303809246613197 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0628436248649711 0.131012303776319 0.0258844178246076 0.121219757425476 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0541705068147233 0.119049513441584 0.0134545529017338 0.126709013436212 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.261734032339219 0.487701096674054 0.823892351939615 2.34051953068262 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.117993182600107 0.19212346804581 0.183779363785102 0.283554854329273 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.103101428002066 0.18784825035975 0.0838809428467292 0.219505872307093 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122398388167515 0.269166583526107 0.0928620157455048 0.420184775023319 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.225129492029387 0.455360891201286 0.622961146808098 1.53385061388726 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0668135583273767 0.147127990771241 0.0228905525951259 0.192241474174106 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0653024860151889 0.132445801519491 0.0119429592360262 0.101880656291819 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0848692676710276 0.162827312668543 0.0159065620651097 0.124445280083168 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.930968743476745 1.4847270171108 12.4396272830233 36.2214617210824 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.298604317925955 0.446981275353396 2.83406519290522 2.24243485318626 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.173955145827453 0.236790315514919 1.73516786853022 0.57488392532055 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.136119284996551 0.174977240654972 1.13317683580257 0.259973390573997 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.601641800249504 1.13999491706319 4.75713261269687 57.8550471090289 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.244920420016721 0.366133879420433 1.47817941516546 3.25757134345767 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.183573543635749 0.243829605851592 0.618367630825896 0.382089564277655 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16955176126627 0.307219825690829 0.309539754822805 0.587213095512264 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.540637956795091 1.01291150757602 4.6207960956685 13.181420460733 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.140009452171197 0.374355428655148 0.198240240627144 4.59122072219105 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0944894715102372 0.301610387631439 0.045089549314684 4.24283873141716 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106498178444112 0.27926179477242 0.0582187144575949 2.12160557422353 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.19254586432205 4.04881813555781 121.694358930122 142.307470185346 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.23718938922462 1.25094537885223 41.2426903679697 12.4472232752644 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.725980558245315 0.670252816986463 20.939598137157 6.70004825364057 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.514105765525258 0.49671756339304 9.68288501192809 5.39891875310809 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.79134925263266 3.73701903231662 2350.07719599269 756.760785452758 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01296559442863 1.20189584285593 75.2962942839534 34.6508430749139 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.557621024553297 0.866650203388394 12.0133346304287 21.3460020683643 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.450438010121418 0.773949998483455 4.92324832247439 12.1632278582192 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.44242416063163 5.39440391356762 846.965335697755 2167.29036462794 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.68414478463674 0.804567330468463 297.895573125264 4.46393026852724 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.50627229280504 0.5851895268785 299.638265436534 2.77589726915731 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.8322204122042 0.767615931198682 51.9727063646976 36.0445283273011 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.77030106905963 6.77169964033014 2608.49428202341 724.25593363276 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.87358755083663 2.81759981159536 1354.4400134746 445.292391350051 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.14501156654025 1.64407306370372 256.494280216203 245.048285023041 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.33861481919026 1.27672042418566 79.6412338707494 151.273550787664 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.78657696316757 8.87273347614607 2586.32725376803 4414.73677402579 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.12586652086939 3.29265441788667 843.409084268313 782.174514852228 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.98335199780647 1.76212872585254 267.198925492246 210.601543701973 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.41403613768805 1.35370334047799 102.402780515325 91.6590848997991 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.0906371589685 27.2817895390479 2261.98912960953 121178.089491303 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.60099502072385 3.74574952274354 11948.6657555603 2023.20793972669 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.18349352980351 3.69915754836801 377.484335769295 943.509660428735 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.76228163864533 9.16277794413718 247.745442436456 36343.5909150515 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0367053921217709 0.0159178859516042 0.00274228844747138 0.00107638777909072 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0143429076598118 0.0110191321657375 0.00033267179385739 0.000455677011859199 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0129704580204938 0.0127049336039736 0.000248721814367642 0.000626929622470881 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0168321887187206 0.0172919041754339 0.000439674985759062 0.001388094713792 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0331283494073854 0.0213766140133405 0.00313103562650708 0.00143825030399135 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0285788767280458 0.0285599922660503 0.00233021706897326 0.0026576788200896 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0332922776052487 0.0372797471780688 0.00361111608382578 0.00492081155435677 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0468204720827149 0.0559596958006309 0.00847526447568442 0.0115998701774701 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0239138460874576 0.00933172575366858 0.00199527181726987 0.000385857181921971 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.010614492498516 0.0111094408283929 0.000301768809127202 0.00050006999931829 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0204361779538438 0.0252483038871047 0.00170743740486934 0.00260119535840764 NURBSSource NURBSSource 21 213 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0375777453511508 0.0483463787929183 0.00527281771985166 0.0094041732715741 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.119018261003838 0.111229118311363 0.350004572520593 1.3206039742328 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0376809864845183 0.0367531731912554 0.0156498781600307 0.122329959384492 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0229529373657543 0.0209033826671411 0.00564206025183149 0.0153621206358983 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0213451877399126 0.0203925229228377 0.00219999356410051 0.00340516215407439 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112089644631339 0.0688609590431199 0.692233771358033 0.470295590828973 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0480623734816103 0.0374427591105831 0.058550854595664 0.031551060663697 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0435833781418282 0.0406251846288452 0.0288582743356674 0.0119573442741797 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.053616422214306 0.0583169230914941 0.0224869883444139 0.0142774102987004 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.095527139905824 0.0659620304346513 0.19704417993985 0.354818817957187 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0242729343577606 0.0239778015251537 0.00856753273298941 0.0279514222240689 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0262684507559654 0.0281350524482385 0.0047837918548404 0.00475951911152939 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0404360304441974 0.0491610487386461 0.00672549297962593 0.00980036229147004 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.216469925273866 0.23419982673422 1.57644238393629 6.19531805740104 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0675405804042982 0.0740559633159182 0.0739376935790128 0.714489853338727 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0372286687985798 0.0353461019953365 0.0244089786490038 0.10792102675194 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0280564668093395 0.0274926778664539 0.0066376518260496 0.0211979121794378 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.214275384934825 0.135450971795141 3.31486996745688 2.3867754442772 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0765410120969522 0.0522299768417292 0.279084837741352 0.155637284378235 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.058421987339488 0.046243325098942 0.12782876199476 0.0445620149838435 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0635440743610994 0.0621336400476435 0.0761573939792534 0.0267493424584475 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.174159615392362 0.137083057530158 0.736259671425395 1.61401870623576 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0417261701250182 0.0421260791710297 0.0366116800351438 0.145009364997522 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0337856955890041 0.0332598299711332 0.014068448270137 0.0163139835362598 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0441415334477251 0.0513141810245373 0.0104346650481205 0.0123944837155674 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.395443411548979 0.440855213954133 5.13788115323467 15.6499533673949 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.127368021034039 0.15094813280943 0.403511596304275 3.81112559821373 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0708665124072309 0.0767346626232745 0.150293920426189 1.04214625094815 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0461405118068978 0.0511035396573513 0.0398019781396929 0.286525631788185 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.45364253913954 0.313323661900728 20.4128570531785 15.2349941687566 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.148093643707405 0.091965403367715 1.85573828904055 0.888638158730449 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0993158994546995 0.0615056565092417 0.8604626244398 0.230833946941327 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0932247123268503 0.0714840062480649 0.455984197086402 0.090702862206556 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.322969406502079 0.305202026602576 2.57073917799172 8.70476114614918 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0824679738708449 0.0848298668321213 0.183259339847994 0.879697872058878 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0527373531213139 0.0455629291657616 0.0616868526837624 0.0885548418122397 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0541145783003448 0.0571296888266449 0.0292256503292951 0.0261123770706646 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.946731434787864 1.06904082639452 11.8641099150386 16.1912036293682 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.359710774921093 0.356703086162478 2.59587978941429 8.88651979073024 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.210091756513644 0.212431015160504 1.72614628880377 6.32315018085154 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.139124632797167 0.158016967961161 0.864273566600006 4.39298013022969 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.64187023695404 1.15505473169535 406.301213866833 222.363882962993 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.509504586399588 0.276459423905383 44.5901667038247 8.71407992926098 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.33404738363772 0.136346704729081 21.9734516971851 2.14033961736051 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.259467533239484 0.113005524407208 10.0450904942565 0.630970518799308 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.847902469344489 1.20548236689362 16.4326442489804 149.535533295356 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.23699822976475 0.272001784969127 1.41590517460662 14.0671791350722 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.13712185911396 0.0909032243933922 0.564785872553853 0.66763162024042 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.118615601880948 0.0721736110960632 0.458971041689636 0.0341767317608598 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.50402588742815 1.91952992903405 21.9284407633591 42.8219319694472 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.545850641299888 0.585900051750871 3.6018770438241 11.2350572469153 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309040453453942 0.31122973235803 2.20286677752438 7.83744730796867 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.208038632102109 0.219668014541481 1.27093154636203 5.86137338220547 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.78283087980113 1.69864947839842 1123.61400317936 273.047212196013 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.843782513061281 0.416497211666225 125.272930884853 12.0994593442633 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.559339687044911 0.21367805515339 61.8489670607415 3.27413075293278 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.404335722646886 0.158108243395833 25.7732202837799 0.926953311997653 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.41736312093192 2.25602657424566 39.2945596693766 543.176348249302 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.360458191629036 0.42853953869597 2.04722387628363 26.2717030324055 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.215687156765254 0.135332419801714 0.994155753777425 0.457486678276836 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.215029435334994 0.103972163418691 1.71165637127099 0.131283520149212 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.276739619098892 0.243756089030585 0.905795041151973 1.23234890869419 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0984832873966867 0.0613558427671934 0.0627365754966923 0.0468938352663411 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0531170390344627 0.0302958019816984 0.0185449162156949 0.00619181605017672 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0366113354598209 0.0254422746110998 0.0062231540077337 0.00290221578142739 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.246022454079196 0.156154564863709 1.22558341458765 0.55260932037522 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0936795352603714 0.05516302488615 0.0890119245696368 0.0714142090490477 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0619360542362811 0.0496435167923598 0.0282124685694869 0.0250373184892264 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0635964069496993 0.0633355906744686 0.0222403596845456 0.0196647615868122 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.214119762428763 0.161679822414505 0.443116010921304 0.588625513579402 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0558765267623186 0.0339264265423906 0.024319389755605 0.0130572753123271 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0395249534828678 0.0305950292198579 0.0103091233221985 0.00383644864592126 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0481885255849338 0.0511802833656967 0.00985310329843325 0.00974707987839929 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.795563072906553 0.789358700590476 82.0746548832318 84.8795328353864 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.234031201166466 0.196026558271699 3.05853898760938 4.34232495738292 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.127211170578288 0.0852087183177976 1.05229180387265 0.797448789760458 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.07444108081699 0.05983759303525 0.197631230145645 0.356999545973896 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.789383435717009 0.547373610977913 122.256006922651 51.808356579651 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236420464236141 0.185840252412863 5.15396933133258 9.47873981124716 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129460568607872 0.117201120372239 1.0133159605878 2.80474589783027 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.11262863858339 0.101127576125997 0.748580812515759 0.785520444184525 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.485102726372766 0.597689823706651 6.70561638849233 35.7295209065471 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.143465927245862 0.100694742908492 1.60287942581734 0.700899325526513 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.100963427378722 0.045850855873405 0.773327161113598 0.0254137505207867 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0917854833141391 0.0679740801933734 0.447859701349958 0.0629730131091193 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.13734830844898 1.39132189756477 34.6044650962007 123.954148267793 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.431292867187929 0.366590502684374 7.92687727416325 7.78003141668774 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.230114613294252 0.156787860244989 2.89859622366869 1.52760020904543 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.135024168759737 0.096792686932367 0.729440256073613 0.585686975144384 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.20569708430633 0.969578190533217 150.268736178472 81.17966915382 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.37487064423072 0.295191905549212 5.19460684773512 15.0424572987439 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.196906765301584 0.173998234347238 0.861221603866701 4.81683683037953 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.147329160745509 0.143800525289417 0.297495430994552 2.3509739739283 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.723997648216517 1.02328686775396 4.31601205908646 34.4022998769603 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.43364916329594 0.136053495519486 32.5941923342184 0.185383347519048 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.118935217794537 0.0953480132023178 0.177030974495218 0.590152923630553 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.108471974583608 0.0915303389537406 0.149675175040727 0.194021237520789 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.99273996003243 3.96275094578108 439.662397911332 204.277292065815 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.6907727447693 1.43348290262757 147.47581187527 66.2105128324736 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.1036686482429 0.833307212971468 119.4430847081 51.277437862938 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.812129948923007 0.638236136505825 96.8173540890119 45.6239612189087 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.62839826945096 5.99208641388946 13828.8141723421 4356.46064005682 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.81130689628378 2.9298937917942 388.504247919513 1705.63108909654 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.977801072436562 2.00654758826318 146.62137013285 1324.74644353616 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.824548854077546 1.82099692177113 101.764024840153 1252.05808749608 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.84281709808546 3.59003159569358 9340.87807962941 330.277499257125 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.8280822844318 2.65956866975719 107763.185227067 3324.33982345438 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.49478586385815 0.473203410116395 2068.11315201605 21.6184550918758 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.8941386202303 1.94647168143363 7114.55842952409 873.445368311955 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.16199545551427 8.85230293457042 560.965772418476 1825.01013842006 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.79360699376434 3.75808915125533 226.589449174962 598.088672184785 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.97610892779396 2.13958119134423 202.298297839299 218.180026108234 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.58130628802586 1.50566501459846 170.064367915302 125.655750492054 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.9696134279968 12.9748543502864 14297.6095391436 9634.486623138 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.42645535357568 6.51843931374897 2614.08996923067 3704.98894963474 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.67728954615446 3.76028376947872 1168.20438209067 1291.53210769473 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.13811481427005 2.16820816220979 420.74996690315 402.878898175096 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.55298283256257 25.0416629757725 4263.07574477588 45070.5662180457 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.5457854669412 6.41785542769816 218729.80181243 7942.75505852706 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.30550856564733 3.26456044411004 14155.8073644231 1570.08414133294 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.97978794610583 6.81814189515668 1827.03543373678 6457.80107616471 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0427947569247252 0.0216179368125695 0.00393926507825874 0.00268287654225584 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0205892493490684 0.0148654435159074 0.000888446363002447 0.00100274976962601 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0213552076586317 0.0192037981036683 0.000920130502443141 0.00167038329663411 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0285804163831165 0.0291380392574558 0.00146972536507946 0.0045984227147748 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0457247955480526 0.0319646610000896 0.00657377430140297 0.00386253652558477 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0492196905984232 0.0479584457305162 0.0060958593351548 0.00988929452204548 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.063961796775487 0.0702300525418059 0.00877803411988602 0.024140335408637 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0845168576445887 0.109108499879823 0.0187196052467612 0.0654917965197875 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0264326036924263 0.0151131722328916 0.00241538880120475 0.00128501590357992 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0138467271911598 0.0181072860983638 0.000726355613949948 0.000924095701098899 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0231389698423516 0.0384833877386761 0.00311347439984332 0.00445669879802865 NURBSSource NURBSSource 21 214 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0485002868154272 0.0704080145487653 0.0152799124956083 0.0219908838950531 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.110389107916563 0.0671648299216698 0.0591336229734088 0.0586099279280939 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0426489435574081 0.0253590586591379 0.00742051465659038 0.00482249401723342 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0289771636984868 0.0210396357500977 0.00222819777761402 0.00184819458215711 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0315450752170819 0.029123324411716 0.0019634329039163 0.00444360730164449 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0890203254692619 0.0619809513056928 0.0444514194123165 0.0616604471896203 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0585223711829105 0.0526796068292254 0.0114009056752942 0.0154941026344579 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0669726313897171 0.0724286418528353 0.0102028808902345 0.0266218351134026 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0857446041736698 0.108428605139114 0.0195649436165996 0.0643156728193543 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.074097923817881 0.0383534690503351 0.0296748513684007 0.0111973665260518 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0253937475960527 0.0212047256487744 0.00346974646256578 0.00124878809608874 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0274107241911082 0.0394197777876514 0.00380941722876007 0.00463221263128119 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0511504861228438 0.0714835486902173 0.0162639720887634 0.0228179203220226 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.194799720350149 0.138077108284531 0.234112965643208 0.310132309551695 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0708382047808441 0.0431070793462045 0.0249885184222463 0.0260218175267196 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0409578084230242 0.0263921251565068 0.00562629239558403 0.00327626750418518 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0374865382301078 0.0304918606812939 0.00371577848906518 0.00463540402508581 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.148001816155679 0.110275200905778 0.17654246046714 0.278081661305942 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0743029815089867 0.0616908179081411 0.029845304223147 0.0379376668442939 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0723900232033339 0.0766172292263347 0.0151158496290325 0.0375998517899739 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0886648669472581 0.10897843245125 0.0220806609138138 0.064286997712764 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.132948449418447 0.077232663574193 0.119105671834022 0.0523284823437562 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0408821571432379 0.0281313316678534 0.0107506162794571 0.00335466962695519 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0336423841510585 0.0412547344787432 0.00537776365841161 0.00503970291306453 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0559333541125307 0.0734404795916682 0.0184374260848662 0.0240742780676323 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.367601751741623 0.322162798607735 0.988334751847943 2.59574663551507 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130566843254457 0.0952692650397406 0.0976708013469051 0.254696001016108 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0670564754503394 0.0435955314830706 0.0178123359750623 0.0257040943218249 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0527196634701802 0.0376302363191844 0.0106080287796033 0.00862744774790447 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.280195797840867 0.236665059370979 1.32167850190011 1.65843488432641 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.117691405924092 0.0890029739648529 0.196606649896879 0.15731060409204 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0890915436621152 0.0887849853825884 0.059419623713333 0.0920965335576486 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0979061831582176 0.113140758968828 0.0393476549815168 0.0680969365888263 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.253855260721386 0.176530174778321 0.538551779511558 0.318936960765622 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0723400126845409 0.0495073549754813 0.0400022478155965 0.0346123714450294 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0493751047926937 0.0510637902631371 0.0135683318477533 0.014396913162399 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0681693368192225 0.0803958704342416 0.026972399751177 0.0291535081306666 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.07121385730955 1.20233655048841 10.7572959307491 59.2058927746729 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.386073062380915 0.438394117827905 1.32729598806753 20.6825912966084 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.193184497873978 0.206716712720823 0.272783683197675 6.38953069361273 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142687098065983 0.131611930961106 0.332158394160925 2.15016921125835 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.924904805019656 1.04792241888237 44.6845557107488 67.9456963200739 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.344221854654083 0.301551995532747 5.84901727947496 4.42835223002068 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.199459842535095 0.183592926082431 1.73884955066749 1.41201087197937 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.168884486198984 0.148147326249716 0.685005929448756 0.202215467701665 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.854330826095126 0.819842460480197 12.5773542484082 18.8041473023626 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.238468084558537 0.197602203276615 1.00105621764987 2.60349926986497 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.130638436165281 0.127670750167239 0.237143646505718 0.696211965671113 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.135310411894039 0.146039932145792 0.178749998892874 0.385578831430379 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.88858945977235 1.8815238448746 42.4964963384434 56.6818825842851 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.683889038342957 0.738678362595824 6.72479534118307 27.5433313987691 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.337079420190234 0.385380687938269 1.45711893853899 18.2282748808903 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.243536132406661 0.295738802462454 1.63902128161803 15.230286123971 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.49383922818628 2.36500994879565 62.0108415991626 569.468343382242 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.506672662160209 0.590484550869052 5.8861892285586 19.1855341130761 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.272494595914117 0.470663247056524 1.19767726511826 23.9010988607422 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.261612474584712 0.332691735353757 1.76309958361017 12.8164716117979 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.31536207122348 1.49753461528654 661.84056778377 51.0865497573448 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.666202731688026 0.462110981812781 75.5148500183701 12.3844036456921 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.235674425736496 0.233053079857303 2.60912711088588 1.26202252753599 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.311878394866306 0.200503147676172 11.3275435114693 0.445063112878806 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.289724519770431 0.200169673390885 0.914020309922362 0.608327910670324 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.1047967620858 0.0598751315787245 0.109221194763107 0.0574097901085902 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0564035001644749 0.0306725411866096 0.0193864295204831 0.00592395410400088 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0437913585836951 0.0324339801133893 0.0053871217020926 0.00518181498434897 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.207955976060248 0.137044304129551 0.512932646905537 0.309857988816246 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0894495704346928 0.0666933492962619 0.0630691516464239 0.023984525072157 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0779001843623819 0.075837581720044 0.0242639055067479 0.0283991732284964 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0890649511417068 0.110142184577127 0.0236068445325805 0.0660308847337253 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.180092907282389 0.121766514405814 0.191556379742568 0.155278334734386 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0537462522551573 0.0375661115252674 0.0151794086987326 0.0102533028411113 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0414274197418421 0.0447757198410396 0.00843638903536675 0.00664604563906351 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0619243757288653 0.0742527896524951 0.0212930239760776 0.0241352877936467 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.570743852034148 0.653990698643501 4.43863461644222 33.9254520740561 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.203982071540007 0.202566133435539 0.529641299547723 3.93868177249478 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102087666731844 0.0875292898755042 0.0950040361899403 0.623589173414538 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0673036668067245 0.0584258666711195 0.0202873776547681 0.149717841320997 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.549925913509624 0.367659805188915 31.3373215227497 9.38730890460269 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.20718714229434 0.114938423693207 4.62434313011352 0.304779034598946 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.134310280406673 0.0946951441065892 1.14784297887219 0.0586586699396788 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.115880254134843 0.121546431140208 0.355578450533431 0.089919094028907 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.353840972791188 0.305628870182107 0.913390887518958 1.82429522289443 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.106384881896439 0.0904797642829249 0.128632015912897 0.440077655617924 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0715065980780271 0.0680675019492293 0.0871039702043891 0.102420203341085 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0897881136540194 0.0857365185347895 0.0910535573045946 0.0385220318547866 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.18267089485022 1.09798198361915 28.7206414426602 58.8353243084633 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.416224672100212 0.354395926811863 3.53330783993585 10.2019231708147 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.205122797306129 0.140227474243244 0.728721299179926 1.19235343399063 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129200755284192 0.0807766019851338 0.173961370808435 0.245360140698688 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.827070240629304 0.801650819289412 18.0312187562155 28.4342225079267 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.285904041110476 0.220779268175518 2.09212707719327 0.991119712733301 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.176499866361558 0.144018643810565 0.640109602279882 0.234586803868723 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.140035449101718 0.146377197538666 0.225816953241602 0.154738039621519 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.721621243727954 0.67474632431055 5.21955923045697 6.95479689476299 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.21551593207294 0.148868046371189 0.498875220121546 0.852240519187946 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.125207738713547 0.0967356900640281 0.150294053556116 0.225685862766842 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.127033513398298 0.113071858835919 0.118313448290503 0.116879985009673 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.37686229501135 3.2694404799286 1444.13348932326 143.259285377029 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.7387835098329 1.02003061662973 168.15986182134 12.4346983890208 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.945824741841767 0.532050160801986 66.6265112984699 10.5054893694223 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.654176257879192 0.367764607912773 38.9933303738363 9.87364120786964 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.54802227446242 11.1786689423689 158.408674554945 28456.4077599678 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.07823929514433 0.822686310369036 13523.5055106808 17.5576796474146 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.21755171855398 0.469938937354349 4877.29858323026 6.41184813885336 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.99033982224153 0.362497061799039 961.06631954442 3.39473049540852 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.86357314184555 75.6188295456239 303.462598573106 3915731.0377812 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.07236412203065 4.04959061633872 77.065953382511 6315.95685959 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.2710611247003 2455.68629392016 53366.6406732622 4718939243.48356 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.88161973637367 0.605537961823192 12254.956199645 48.3917726555014 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.59168650310971 5.93482419271779 1030.58103123738 379.665373341093 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.31969311946794 2.26772617045514 148.197328166216 149.505634070661 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.16946612185312 1.24758557658684 45.2527901704803 72.5336020972493 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.785490108951577 0.900380052122935 22.4007026744149 53.1171489301055 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.10257323218224 9.81631248365221 2918.32976110879 8824.78437180911 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.05267787999907 3.81722984138781 2906.28385095764 3369.06490152943 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.87945964709164 1.76131902024209 388.936597252649 495.953852984362 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.992329647790448 1.25568793890143 137.448423878727 174.198073843988 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.8584134019528 38.2009134265155 15311.3878325492 473727.663410862 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.33737477402599 5.8616374207259 4836.35462650998 9668.38244090366 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.30086772082556 8.64074189703522 632.284195331884 14847.4230055035 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.00485270789964 1.8497669191781 353.149678610495 659.216975751449 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0713332347086976 0.0223646242345282 0.00925154856959718 0.00238249608819068 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0279037555851081 0.0128832083316978 0.00139373502058865 0.000587490534679737 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0272218365982564 0.0140524284840073 0.00139783013038764 0.000604665987439383 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0360094701112582 0.0188020749337913 0.00252978030098336 0.00113242113450984 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0636181608704949 0.0233102614439454 0.0110822153167744 0.00143394531756695 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0609778735932006 0.0318691275201916 0.0097394057887092 0.00259808580230847 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0800012995942782 0.0441338054205164 0.0141647678263812 0.00488845635772722 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.135616449074838 0.0676979400421914 0.052108830238097 0.0112979127837884 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0399457938813321 0.0116312855076586 0.00529294991209731 0.00064273196384497 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0182674832728989 0.00821297166434647 0.000963134993857717 0.000220632177284333 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0317672948269477 0.0184554259674229 0.00295793171623788 0.00150778534858034 NURBSSource NURBSSource 21 215 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0607513897918759 0.0350068439602686 0.0118448376338546 0.00507150667169802 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.165059292437638 0.0920724625583369 0.274804633795029 0.540286313013209 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0542135394149836 0.027391065403016 0.023977228480295 0.0323724913492567 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0363952549279163 0.0184201048692044 0.00688584313655003 0.00387716426757124 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0404072196564049 0.0206034517099226 0.00429684737240542 0.00189483182144526 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.152190895350927 0.0390518216278875 0.9553554118246 0.00732896693209318 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0705019416953059 0.0352857459713343 0.0224240333318208 0.00466314900740171 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.082557221526801 0.0458122108470137 0.0162027183248668 0.00635292829729594 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.137049995584001 0.0684120071148352 0.0546129652312156 0.0117271935129156 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106091613589146 0.0383243227922266 0.162822122065384 0.0311735107300737 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0310550108307598 0.0123275895890252 0.00562128599191399 0.00123709433472342 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0359220479141087 0.0188984031073978 0.00465994657118194 0.00158229872061262 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.064207669846431 0.0352330009973673 0.0136770582172025 0.00531580904312542 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.277686688838611 0.199637460197915 1.05960885793221 3.80985789671356 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0903039565062553 0.0542277068399762 0.0759859110018977 0.29160813876428 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0515708787404194 0.02861459351745 0.0175976700580369 0.0422981064885445 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0482013127086807 0.0254749380802546 0.00967471956921928 0.0106901698856142 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.284965070805982 0.0681370419824521 5.83642690130179 0.0308105031417255 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0874560999325815 0.0434979138457567 0.0674642991348352 0.0319896295221453 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0874507033967822 0.0522819645822007 0.0189720064944845 0.0348260050448536 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.139403950754055 0.0722839476312036 0.0585351441746724 0.0217040110743177 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.191686385732536 0.0789769866845022 0.746060536927604 0.217736355099254 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0491729983492637 0.0214820622172258 0.0195492581255837 0.0132400648194329 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0445121129022681 0.0206634715426956 0.0145752846148431 0.00207315602813674 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.070902363154834 0.0362612183237556 0.0241426616645461 0.00571214545319785 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.503833008165439 0.499069780295487 4.13162075114513 40.0857813175918 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.162858574723539 0.197438791076693 0.213555806936718 12.4531006809343 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0828129633155483 0.0952208897818334 0.0313522304231843 2.60190612831253 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0662323284070061 0.0639565459572567 0.0159397533323359 0.742824546584426 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.74992014490877 0.142696317467017 87.8582910933063 0.145122971464529 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.130047533859688 0.0843716679951351 0.237514217462942 1.03568161274465 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10251991044325 0.0950567889827375 0.02950780413289 1.0153340321468 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.146204516541071 0.101237420351582 0.0706212061455103 0.457049333828616 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.378366778246153 0.198196297429008 4.34061206741516 3.1928421864465 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.106429148099611 0.0420359202455656 0.599271204480227 0.0899741271743091 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0849516241322855 0.0249811958178505 0.54156562502701 0.00410281687833489 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.11531035649128 0.0411266384529447 0.611750331101212 0.00854620413562075 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.43480473031763 1.63820920051719 58.7864146789622 457.591001829071 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.661953336832945 0.802915761865857 31.0884873198658 291.124102396254 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.297545712289556 0.380232545795262 4.31074261380916 70.4461459145679 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.20602102305888 0.293812010082884 2.92914936335835 46.7323791394769 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 39.5053611729301 0.532207593280674 725766.312836212 1.84153788378301 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.79573755543361 2.6367569349873 1970.66244261928 5219.58001741944 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.266016551519696 0.972816418073457 6.14481226201288 642.026716815682 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.196621902064872 0.456651433279319 0.200949784304341 84.2195762123757 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.47939329000529 32.6918399886987 4312.26864516398 677336.2487838 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 69.3403714583308 0.547099373479794 3727797.14613132 105.587311999698 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.12812307078049 1.51995093856056 7523.0430835247 1773.84273273959 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.72612320351645 0.429166099605762 2024.30067673385 97.3465871175542 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.10760518780801 2.46027649310756 55.7106523877048 400.684072098213 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.827209102973941 1.24757988245343 14.5635964041402 293.600576100536 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.43059157602446 0.991463698573989 5.86673846026523 224.194522669088 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.311573747259982 0.839828677494823 5.53289520456253 164.783902938684 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.03122337623544 11.6678800686579 10900.4808045089 73704.8529916275 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.43024814728757 1.69628693803956 5007.70650099305 860.285500403933 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.10185602468225 1.08442234283712 349.689364358526 361.89061447756 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.676992513889738 0.7316890143783 81.6981611766739 152.532673468356 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 49.7432023851192 1.33052719141472 1475727.84612843 68.145809967059 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.39128060498001 0.762426139247631 19644.5388832989 129.282232805707 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.11406998034657 1.94350384796407 4260.62013558919 2819.36205412502 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.81838679435731 1.26830430823887 119.992721544359 460.577911214617 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.452718011288797 0.256351207508838 4.27369938292069 1.07874707196745 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.151120963072911 0.0657876889244902 0.295107497448295 0.06856984996148 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.080849554108149 0.0326007482484228 0.0553311633686083 0.0104844670241322 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0614831777922926 0.0258073368270905 0.0165413227017263 0.00336085593561715 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.250932087661355 0.22520581316705 0.395372696018533 3.79255962806374 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113230350944162 0.0544046354069948 0.0607718996608693 0.0524005374746145 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.104021822573086 0.0473911699829457 0.0514083929030459 0.00715337414172298 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.147840270378887 0.0686599017532557 0.0711564412242657 0.0120505548245797 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.29654896434704 0.184554046888898 1.02655403611268 0.835522593731272 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0785326518407108 0.0270627440270717 0.0648562595884274 0.0166466378098671 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0561216305191371 0.026083099498664 0.0232303885138833 0.00549745926807261 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0771988184708599 0.0364895301205518 0.0299784982327885 0.00495763847416643 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.857602631554075 0.543480335071283 21.022230986998 3.69195913646197 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.292335985476728 0.137525055273534 1.8097703160537 0.256508143432277 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.146744959327073 0.0604676157880196 0.246228876807317 0.047459491712113 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0958377873813485 0.0400099283075568 0.0509801882118015 0.0180131285599441 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.456933563876716 0.517895920941873 1.49548615470826 23.0322491426296 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.180072366373741 0.0994175097004359 0.180252786806434 0.388305966105779 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.139988925959013 0.059642239009895 0.128667335771319 0.034843021792834 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.165921385714591 0.0756751363861562 0.105319527024867 0.0282756333211622 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.547907073344005 0.405963542874601 4.08600299564982 4.33463878079512 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.156203602354346 0.0534795898550901 0.402003617901795 0.0766568753666032 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0944562178257767 0.0387634685801766 0.162272225230412 0.0220559895657241 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109064568383749 0.0435152321029352 0.193240655432511 0.00904188876359993 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55004270206168 1.12300959844744 68.0526485963872 10.5794805003122 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.616272161676067 0.301041464774338 23.1756897745405 1.22609078983839 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.301103451855621 0.133532400576004 3.01899055406193 0.509115020166147 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171334829415904 0.0848940632913635 0.221116893023266 0.364846954441865 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.840032145501335 1.29811022888206 5.49448538052211 192.933056160223 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.305403290810408 0.243801365728424 0.562781368068861 3.9933906616274 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.212052438061421 0.118372510476199 0.368193291926132 0.671892115140588 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.208164074546529 0.113423370416494 0.204923522310659 0.501861377131486 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.0041139166786 0.895465855610903 14.5776790405676 27.1921738087579 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.345422007288036 0.114853171403254 4.33837712137399 0.310680796229395 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.200750523634565 0.0650792068389779 2.06602338893029 0.0686552801773659 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.214807944296533 0.0599632456460517 3.05279902355554 0.02748184999297 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.85213757893612 3.38335507377952 169.235927173234 52.1337469230415 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.40537233133925 0.970257356639147 54.4004032459796 4.54222064705113 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.762465883136427 0.438950883897516 19.9753402190038 1.74375396573269 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.461609619450411 0.296524804702889 4.79496947151141 2.17008872840882 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.30281940457018 4.69530277472875 37.6457706952976 2671.65003113926 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.781574296256317 1.04981953890786 3.99524279526076 83.3903913753197 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.489161159069856 0.506466227196917 1.87303808574873 27.9914177168122 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.386947839512415 0.359685041953009 0.905975454930084 10.8579994192415 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.57748669823922 3.79944110623531 68.7384381804997 1142.21730948346 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.57548794800635 0.650889376671162 276.95707981018 44.837398800666 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.710622702444638 0.336367324838557 62.223925204185 13.1412430007612 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.99893797816543 0.378778559562152 318.3624157978 37.7582138326185 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.53776636784671 6.94261774643077 511.530264546312 752.217477324068 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.69723832337839 2.3606820340931 246.215188146708 206.072993752507 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.61256179447014 1.18478911878066 143.955991932331 73.8210429859523 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.08420813561717 0.807178900253135 99.1770745623075 33.3795847274917 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.30571788204989 6.77562573416615 1008.16886925324 2017.92992520916 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.22304371020688 2.12187317535719 361.818144878072 216.102882356027 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.19978308004687 1.68094866034325 145.045968603708 504.128909034435 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.929821325839937 1.0321899574241 89.1904251552208 129.269596458626 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.84693247600931 10.2553389357863 222.431844041246 12368.1199167416 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.95581305212125 2.9518021397777 80.180556967281 2974.93306482946 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.81971530432951 0.612561301428627 2306.38202118107 15.7417589162705 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.25051135740822 0.35852192477577 68.0396532747925 3.70681988871168 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0643761344026209 0.0441706693376302 0.0105913454805665 0.0111800200931118 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0276413776041134 0.0194562711804778 0.00131889525232256 0.00166751760642088 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0274420847080357 0.0189853953962458 0.000928915216129712 0.00144473397667327 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0378253098994349 0.0244826904749757 0.00144481565175122 0.00254420141641181 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0564904373304063 0.0404519595670717 0.00992634266520387 0.00561833326683783 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0515664335015933 0.0360625729104909 0.00639322008733147 0.00436266167982998 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0688652880851972 0.0473056925566019 0.00929419975024005 0.00874571067990402 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104287729147451 0.0708038383776829 0.0183265165697625 0.0215552083571791 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.04317288337239 0.0303108880716912 0.00604112311880896 0.00470856238049526 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0184737798149958 0.0117960966837558 0.000487674408755147 0.000544219517699857 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0318470760931327 0.0186324872327014 0.000447032620872882 0.00129830285232648 NURBSSource NURBSSource 21 216 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568695673907071 0.0318260791031783 0.000974599349634316 0.00391917470112965 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.118767199124709 0.0998832472898298 0.043397997800854 0.0580657873993153 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0441025052486295 0.0347269355864017 0.00540635749936699 0.00598007560525375 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0322807771536629 0.0236774672092345 0.00187428579567967 0.00239946275028003 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0388790333321566 0.026178780197283 0.00180147077497323 0.00296056424330993 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0898622886030279 0.067871002346531 0.0317430139700134 0.0202344819672175 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0577272370180174 0.0418472420184797 0.00834902743557579 0.00688577794366936 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.069800175908922 0.048874569766194 0.00964504933273157 0.00959985367850679 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104065504588453 0.0716998401619888 0.0184407932392304 0.0223176805463459 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0770730417736031 0.0558029709020109 0.0245471682670842 0.0139638412264989 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0251214032805006 0.0170394890646028 0.00140541759730333 0.00120890150655806 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0326996967342171 0.0191128907412794 0.000681479464995303 0.0014109310529973 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0578609697687709 0.0329767640814442 0.00114526507650305 0.00418601601453783 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.200885529823609 0.173812729434153 0.154960877595674 0.182941362390729 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0702027831676281 0.0568582596571934 0.0166784456704017 0.0169213623838509 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0429799584329853 0.0325669824185829 0.00469467606123596 0.00482487447837294 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.042359091294994 0.030127188552831 0.00278011307875467 0.0040372358525517 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.145267833376395 0.110454740349862 0.0988342955668918 0.0583062737302894 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0709997045798271 0.0505683258346921 0.014862356944759 0.0112237765171816 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736482095030219 0.0517864801718101 0.0111691828305674 0.0111367361525485 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104724310005592 0.0733935329336374 0.0190387915570274 0.0235309967673351 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.134061728648625 0.0965772664142652 0.0849352376767877 0.0401924605506389 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0367810373378098 0.0257890695202943 0.00409269409071361 0.00292678877604025 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.03621617731719 0.0221060862662189 0.00147059022453963 0.00195705222284652 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0596236108466781 0.0350456567361596 0.00170768017647402 0.00473895611132767 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.377132979648505 0.325498695132722 0.651124962221819 0.628691817639634 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.125802195172135 0.105853352265565 0.0586832811923963 0.0584878738384262 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.069030699446469 0.0537325680381139 0.0148611015286662 0.0131514446896146 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0548553610342049 0.0410776964659951 0.00668270093227697 0.00773480434928876 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.262513750638578 0.208910938569617 0.347325480753643 0.213831048098826 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103603630763908 0.0720550914309439 0.0405464309968009 0.0240832557791649 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0851818635179711 0.0594173681649901 0.0169940828778115 0.0155715993107308 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10855400340214 0.0778045485765232 0.0215339699211172 0.0268894487812369 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.260099445812236 0.187271100424817 0.390404173071267 0.147894903136636 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0639697005371837 0.0456902055214296 0.0147417236009638 0.00911284934113017 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0475347842241918 0.0313416487622858 0.00531548175655137 0.0043230701879691 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0655271215637152 0.0407966526486453 0.00443086778357759 0.00661685573905731 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14004811445539 0.979671576355958 7.03332308239739 5.23236063704483 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.354807161751816 0.312493466821593 0.512252583327347 0.480378369358374 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.180618409197216 0.149288717182076 0.117502651978314 0.0945311832619078 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.120311663549152 0.0955698692458228 0.0480196624382673 0.0388034022695553 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.727410127173253 0.656904817031158 2.76750901596017 2.27806647069559 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.240565587587849 0.188292391341147 0.251874761300334 0.194236677586053 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.145067221904242 0.105335952219584 0.0690102569893757 0.0589872354347647 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.141923104891909 0.102101586318196 0.0486992644314388 0.0467661783233896 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.05453346527017 0.679808361233869 67.7239113662681 8.70256794566311 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.183633403293315 0.131949710349089 0.144353155551733 0.0736377061030587 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.110000408779067 0.0995644600591017 0.0852323834766629 0.323174374590105 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.102996841871844 0.109266544588973 0.0413062410740956 0.319483216369458 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.00617071702311 1.73476020115131 26.0193333367178 18.1852840153822 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.617793483382571 0.545384914614535 2.06781817622136 1.63653056918457 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.308900446376693 0.260068113096252 0.484762630364554 0.336334546561714 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.20142890732205 0.161235295908619 0.198747795109259 0.124470929260825 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.22748986770851 1.24322954818557 8.83703641726884 12.5181269114803 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.3967884337378 0.353689177646114 0.872770991855876 0.954726234006769 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.223192079168306 0.18100960836514 0.243836887837155 0.265222115225488 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.196683235478099 0.147408522586713 0.139689149964036 0.123179095127421 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.39925303683827 1.0884225840023 15.5685549844761 6.09757927731329 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.310993912937791 0.243249843270488 0.47030213624929 0.36767176474057 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.182231001944517 0.139402955026599 0.224717174459397 0.113612784004957 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.194384588471928 0.134818148750725 0.815114779131534 0.132457272417574 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.338519368341851 0.308901623811636 0.522586147421739 0.57219907765976 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.112736157286946 0.0910394708387775 0.0443219369219792 0.0383904949690359 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0625362475850175 0.0480488236471024 0.0105115744661351 0.0102455936602776 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.053801520750617 0.0378947209031033 0.00511863801975916 0.00642811106979323 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.242175696682742 0.1918670168801 0.316805955987177 0.257325227377469 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0971009902511272 0.0699579677410755 0.0434133430932671 0.0254399851217987 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0872300933641745 0.0578226676254098 0.0216420833677836 0.0141176492145857 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111881023093234 0.0775689343597825 0.0244980309062994 0.0254959526429621 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.243537213583917 0.16300425727843 0.357949901833374 0.14407343842849 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0616362300213879 0.0422836258554401 0.0163398064962528 0.00916694963950702 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0475771251103285 0.0328173055068237 0.00618806813459154 0.00704299361752862 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0663542239075106 0.040330203116482 0.00395933801785944 0.0072124796746123 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.648431295457198 0.651477850483458 2.32721983882781 2.91339731062338 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.211239941377848 0.184516289930789 0.181977202096024 0.199803237402674 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.108026844045075 0.090995765795613 0.037615266755823 0.0483635923133536 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0789103377879221 0.0625224146435957 0.0159060898200827 0.0209524361766482 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.459312576572445 0.400141971318344 1.29962090455211 1.43453813367366 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.160544707914693 0.121403384769123 0.152344553443501 0.11573426100101 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116103494651181 0.0776846562606891 0.0559116713386203 0.0394227818477207 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.129726532116028 0.0889466087506692 0.044767551080144 0.0361575834965173 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.479478223520403 0.325323185525968 1.64526286421579 0.634130896235073 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114171728371074 0.0857258470477645 0.0636089875974553 0.0440152611860439 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.074461357264552 0.0557298365562313 0.0290687482207158 0.0306977383938804 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0816723793067901 0.0553341876019304 0.0150186459026821 0.0157683380450034 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32211052148151 1.42890892368802 13.4273541632563 20.8446606698391 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.432836219399711 0.437715793480823 1.21524883794195 4.70600843818794 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.209182086380891 0.218679272714799 0.183756917417329 1.98650687999229 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.138399902759707 0.144881925817263 0.0675494067515129 0.875732274093585 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.888522430035989 1.03829087361667 5.47263020343079 37.7179724090329 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.304762827976899 0.288073866313986 0.642831864856091 2.86972197499245 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.187480414254847 0.166844103075525 0.217231903241169 1.34580753512625 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.178479422076727 0.146329292826518 0.154415015058942 0.518154349309804 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.05515342696331 0.709912208064457 14.8595614528285 3.34016921128434 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.242785767222473 0.204406920140059 0.903955649436408 0.761319241864644 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.155317821437291 0.111074950699143 0.495066169216551 0.224579595688494 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136609118547165 0.0940759400192906 0.261792572553795 0.0647861110202668 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.03411441073837 4.40009939030756 142.872297192637 112.764190588203 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.36794700623022 1.34610868345271 29.4514744986517 19.229021228717 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.740682352433246 0.66406937002578 19.2945212985592 9.29247151604662 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.51139710912309 0.431521231584782 16.7681808499115 4.34167617219887 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.7643761846783 3.43137529892445 87.9244684343536 482.395724154065 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.19969544893604 0.915615426568418 65.3607404790662 29.8787686513814 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.678793485534579 0.38406469079868 29.7991470022653 1.42761941717352 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.598159820837178 0.285351047035107 21.7305090184187 0.52649245230309 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.17051939637068 3.02645714058398 153.176083726205 287.402328326268 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.643471171743731 0.964248569056878 4.20800204233656 93.6063659784983 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.448619070879299 0.58447303929269 3.11521563520695 33.1150906207844 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.39670680301412 0.415783699331348 6.09415204270841 15.4100313049099 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.56610035074224 7.82801164046946 333.16598385343 455.368812313894 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.18709039342692 2.51004360447845 53.5190968335907 61.7271330637473 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.13847258695545 1.28882973826964 27.7226162018153 26.8805077004511 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.749645008024783 0.875231469531451 20.2597839518003 14.2816623157334 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.91200343086954 6.30123420527055 313.423846867195 671.997880441662 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.96316089418873 1.59175403646099 93.4764907467326 45.9649398300492 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.993384292484543 0.828757856835769 34.4082127664576 10.0319836066167 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.754222571782516 0.580543668469425 19.4328580077925 3.78898461966338 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.0718247433928 5.96899155102572 2120.53202523128 776.021337704467 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.49581581047503 1.29558520878509 39.7932741307355 83.0818381339175 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.12729892257847 0.637044417696372 33.8735925797812 10.0667429521889 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.08369726727569 0.550918788873715 46.6692825382018 5.99905526838738 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0247577696275563 0.110079676404607 0.0014284647389648 0.0662651102904566 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0120744461454444 0.0424820165459046 0.000269252154111486 0.00871322722057732 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0124434803669808 0.0402866575268307 0.000272319369946248 0.00770487202724162 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0159108324816768 0.0554833727336282 0.000348593739838184 0.0148860241254676 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.018103889544062 0.0938209017295371 0.00100575751647186 0.0341667627171231 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0226311757638034 0.0930654808744609 0.00151722924132351 0.0404129427113133 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0310050576887055 0.153671248301549 0.00306593808626972 0.119530589889286 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0486400110133676 0.255307383736059 0.00847008577213017 0.336841343333064 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0117945397577791 0.0671846917271144 0.000740562166054303 0.0169608137240741 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00972974320079943 0.0328313827612818 8.62509787759559E-05 0.00305403052898151 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0212873575034588 0.0530433302845305 0.000606967420631075 0.00972953171408445 NURBSSource NURBSSource 21 217 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0369539152109645 0.0763353290538955 0.00361804852345976 0.0245800387908683 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0772991285392812 0.214541468306 0.199994296423282 0.326389973092983 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0249358660597006 0.0741488348978867 0.0318707234711233 0.0347817859874476 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0156476819077083 0.0540083034973344 0.00187958938094727 0.0183888122319747 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0180352180804804 0.0630416218930129 0.00190525712385078 0.0224434581137362 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0456008817272168 0.155361020706553 0.0863312016920295 0.119491045090008 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0243960667930146 0.108124802169805 0.0020658038778058 0.0578164213844177 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0337880082780075 0.160718556643762 0.00889806764820214 0.130147541542364 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0517502212452028 0.25867498133569 0.0176009179243431 0.343064929250384 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0504913029677655 0.138583600209752 0.260375918717388 0.108224955887808 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0129679554087743 0.0473476283738982 0.00165944425624296 0.00976817114240158 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0222275393613277 0.0588128193633024 0.000873815078464786 0.0116946614563557 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0375642742492765 0.0797879878590614 0.00400228052670132 0.0292576245231252 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.173522585564964 0.340685384847277 1.74298876234367 0.971017010793974 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0540609176468058 0.113965287171067 0.388560740999155 0.0806856233695465 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0270419048793955 0.0716287915384353 0.0637558608135748 0.030898221474735 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0261743598117915 0.0713998654914438 0.0490669276799497 0.0271000147485232 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0912954408929322 0.242189654873526 0.477559771150704 0.353691478191766 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0340175562439041 0.129490208007337 0.0322806789480406 0.0858322056927873 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0418426209227548 0.169321357847962 0.0790415130177556 0.139827118529185 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0578933056856232 0.263142811489267 0.0722195517980322 0.350102446677466 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111130456294475 0.234446410710296 1.46243565363829 0.384967372415022 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0203708341159612 0.0672999563457223 0.0193491863828373 0.0190904412771936 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.024483593086243 0.0699570468538002 0.00281438345658853 0.0180693145776409 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.038826807817137 0.087608959697194 0.00489335156914341 0.0443249676941721 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.475116790380176 0.634094288005338 20.8641468094183 5.92053438928893 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.18358993216287 0.211699820416375 9.76196318513189 0.459024194252304 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0990827061806258 0.115670255249797 3.72922646430601 0.133292081857727 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0760891662189458 0.0941417336835477 2.17294806853176 0.0618135449550716 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.227608876190119 0.450991725070132 4.72228802991384 2.35014586809148 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0934385702680667 0.191981075224841 1.97666382032194 0.290109712871192 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0813190031777765 0.198393827129094 1.47275451122369 0.20240987928745 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0877421739942064 0.278485251527111 0.937488107501732 0.383527965611956 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.283891026753323 0.475058249437244 10.5381721522872 3.102644485386 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0404360333942082 0.122294241954465 0.128429759436173 0.124575964541513 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0302062231998213 0.125505606382301 0.0151287231454732 0.730448431084652 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0451800308722411 0.101300101094457 0.0228609801714475 0.049430130907104 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.22929750711566 1.73301170139558 477.597630363784 48.9236123764984 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.852031599669713 0.599681057115799 106.103692233669 3.66072982624509 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.375797548267191 0.308377474746227 22.2548179730971 0.750838139789949 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.265865019547511 0.20569572886133 11.8478327649445 0.285761207838471 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02471415348584 2.76755670857593 122.899077056766 1207.54126517847 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.204478777031542 0.685191069181906 1.87852627489525 22.1666926426804 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.113793418777443 0.510890334201361 0.551459548350528 14.1126745819601 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.218768921525636 0.403211979517653 11.6827116788854 1.65277964821173 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.74769910999875 1.94215506503791 484.039458093712 266.822514113086 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.389694612295673 0.430879777035362 56.6332444743967 4.32148126327593 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0737474412599035 0.362323916107181 0.202636052586799 8.29048133566289 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.15328146929244 0.342087948908455 5.47795297467649 10.47265681798 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.08638737380983 2.57353613319881 823.397944575871 101.285307124325 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.713054210029902 0.998188827381325 29.4543167984519 26.2427241027379 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233985475836001 0.590793944860638 1.37471995138761 9.66192947029866 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.174206187607279 0.413833996251722 1.58940596989525 4.19174913613303 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.88562232043729 2.56546030725227 313.410516136475 269.90707900155 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.410913059076381 0.997831343175268 8.15485091183712 39.5706344432725 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.204525736661813 0.623545970118977 1.70970272414041 11.214726055201 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.199530037103633 0.513873067097922 2.83281587268326 3.36379634271569 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.38782633802247 1.80611091940365 707.995549373812 36.915627216969 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.626100731430477 0.658875090362206 58.5375959740256 10.5004934715332 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.190058161985254 0.642867747257123 7.21381193349361 23.1550590809925 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.192311971534217 0.562106773779271 4.10165842904334 21.2554963687052 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.23858375312957 0.587215597189157 1.41930006088233 4.75180099296125 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0616990103318749 0.181071665906547 0.0809530133805432 0.287034150595817 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0308888943356604 0.0997690560008788 0.0175252948570931 0.0650031240597565 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0235076757746434 0.0869777006191904 0.00468015334725646 0.0497858543512057 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.150517563419639 0.379246111047331 0.808121454269606 0.931657677418026 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0498419981651111 0.167823947271632 0.0558963157245043 0.148645402446914 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0397845056373207 0.192212517901913 0.0102461979539113 0.196338457760793 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.05166510634979 0.281416827105297 0.0102080825502714 0.413526421385192 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.180937848396809 0.395216152054836 1.33312355018711 1.50741766498622 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0266200244126387 0.103811205088183 0.010370602098357 0.0652477491542467 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0259543591890886 0.0922071879280823 0.0016841656199559 0.0453333285328382 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0416287928917615 0.103332852971483 0.0103125099567494 0.0474618471776216 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.557293308583516 1.07699530808955 9.42504243924457 16.2782655469644 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131466785309668 0.333353500848357 0.58860378500679 0.846096878060372 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.065355138173006 0.171547872318222 0.181721802828821 0.175319316100469 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.043297778088942 0.129649069642433 0.0671621819756047 0.111712841119798 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.355281349412761 0.676589459654084 5.41454360815733 2.92604349547658 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.104710490950103 0.258032077380978 0.468897091133464 0.372461008815912 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0638625334155157 0.237684185341952 0.0887761459374214 0.3223124918765 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0649422079302215 0.312426219208563 0.028228030703938 0.563618957991664 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.424362064929833 0.719351380129918 8.11621325044338 4.4846737871364 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0529487845207798 0.18517921982193 0.0593913772726089 0.225482708689079 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350337006650269 0.14522774201755 0.00747767021620571 0.170818750507416 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0470476807202327 0.141860789643068 0.0195998935500714 0.104520007169857 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.65895675383689 2.41409255480347 295.211922597823 314.79412827497 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.601484551389683 0.720107039253585 101.791410015559 12.1561217267193 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.421285211702874 0.316291173299568 58.4338021003861 0.468594897912324 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.337224345972348 0.217039168068192 34.113993857707 0.249977359550965 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.56822263776991 1.18782674992968 534.265999006357 7.89114081027873 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.670195921924007 0.436936207519564 92.4885749390089 1.11161148961616 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.426293347086434 0.335267985669043 38.7412446234355 0.654131795326753 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.325563433422935 0.373724879184228 19.4517459821512 0.896691464376263 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.9426836040433 1.33548518212698 1068.82422020142 12.9213387130927 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193086727571919 0.552982775815908 5.51529460474768 30.7988462110229 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0752924460894121 0.432220201012719 0.156217119404813 21.7781509949028 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0694055666763112 0.398031455484068 0.0525610223845012 19.2431679723971 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.13214587797926 5.83361973696054 2244.66941549214 607.054214458446 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.07481407605188 2.20690193434799 1078.69672240918 180.361204563637 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.8570396328341 1.23158970971237 444.974924546229 109.24573370025 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.134326252293 0.990769833188792 153.915912494695 100.762781270349 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.12504736959585 5.14505577422994 6991.79546854012 1470.89763212064 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.12307726858464 2.04621914119416 1902.70304823822 304.457840676785 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.5343072650527 2.00571046430095 357.785647491205 296.78334529647 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.922584570824338 1.58343060836601 96.6382978112501 176.305414246017 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.99799864510454 15.2719025720806 1269.18948342946 30729.9443811833 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.6906432065279 3.34164683557217 60095.2128986853 1510.95738006678 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.14217738053639 1.55870089160546 2567.47218628451 213.095290012427 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.24229930780849 1.3168029609905 3419.24623556971 114.748838073596 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.21724544226515 10.3446450098961 646.338138075121 2182.91878556325 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.4303683195102 2.9332583988546 1011.94612410214 107.674972673857 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.78962144194972 1.61156307381578 1637.25765663009 48.5962644532564 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.29615601287764 1.14194650032247 1413.73788286395 35.7319247005925 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.8754960343466 7.63880804206238 24692.5845713312 1342.71341881692 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.93400194449191 2.40902195526399 2007.23663726218 176.835302884652 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.41661417881635 1.50672423740821 843.653542066603 61.4991987171176 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.50707963041874 1.32975822793698 166.596509040151 49.4610822807372 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.43435119562038 15.3550863812399 2643.15090433511 27163.7610817156 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.82381344104725 3.87813327544635 16825.4644245451 1354.50606725577 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.22634306329819 1.97735022352241 4529.40766750445 104.413282817002 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.35940628029449 26.2694298426183 267.407175244851 408055.639465421 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0260638141865926 0.135330582431133 0.00158070013104523 0.103225529657115 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0102169412002954 0.0492323639368725 0.000234601014575272 0.0127648270819578 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00865982259167152 0.0372927650415364 0.000238355429122341 0.00619413080743033 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0117567973049362 0.0415669405394153 0.000504069563539766 0.00782546209815691 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0143178440267584 0.0941673220617965 0.000714351911973021 0.0398860604580099 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0153060294571426 0.0836987334092875 0.000731994611885276 0.0323522039433236 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0206152680386515 0.135811907032445 0.00138589646924467 0.0958335272692543 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0298268701070523 0.220214389812943 0.00249693482269663 0.255197470694085 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0124910329590326 0.0765420643576905 0.000566026826480105 0.0232844729122883 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00661353467430228 0.0292003562383452 0.000169298126002572 0.00226065912290474 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.016428060941575 0.0460914137457862 0.00206563703326723 0.00563621486418047 NURBSSource NURBSSource 21 218 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.025865063778831 0.0712446680033296 0.00266153380248596 0.0157477389077858 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.06873654754697 0.230679396336595 0.0385199367211663 0.232324059391459 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0189393620387798 0.0827924914396558 0.00171409507742361 0.0311925569020854 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0120139515988784 0.052388071666968 0.000579282397537018 0.0111637775853078 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0129364502044837 0.0480124085379971 0.000580417870057928 0.00964657926152736 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0340738017784616 0.155488787100581 0.0160562551788736 0.100029002880455 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0176954084346481 0.0983558377937087 0.00110577755828029 0.0437919568210604 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0211952213812304 0.143303646112025 0.00141010601314681 0.10387921462804 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.030059289202545 0.223505071796285 0.00246641823050519 0.25930910020628 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0382785447725383 0.156452195642744 0.0367638943815776 0.131921394864267 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0143460917012012 0.0462136865684119 0.0160164471993606 0.00691160505362282 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0210623324075532 0.0548482888842752 0.00586931658635242 0.00802018652590523 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.027606876080481 0.0736721096101388 0.00315834672773732 0.0165152144576627 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.138053366550378 0.353063933769748 0.218217630017984 0.508776221120674 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0336579641337926 0.131147763918769 0.00834978742328246 0.0764350764109852 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0184493773776224 0.0750157320222837 0.00220463856182095 0.0228634072860579 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0164233528828824 0.0591614480019351 0.00131566035740008 0.0137826423548272 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0715026064525552 0.241653167449306 0.0980261277240579 0.234648608351873 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0251794533348881 0.121442078321721 0.00482633328680669 0.0709125317749068 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0232933675101602 0.153987098286547 0.00205814158102315 0.120213249634673 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0309617988933934 0.229108072353573 0.00262425303413694 0.268994647441668 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0780143730593568 0.264212344316163 0.173799848661289 0.42197826017319 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0229713776768686 0.0733887773934926 0.0523362538553833 0.0208077974236906 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0256789193001392 0.0676652868597525 0.0138139661014025 0.0141943680707522 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0306342746774878 0.0791302090860964 0.00454359335991766 0.0188835407757773 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.310854584012177 0.600937208543723 1.24447896899807 1.40130220149006 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0734364262423996 0.230401568572579 0.0582954055131132 0.217013564942282 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0342928508570933 0.126160089704001 0.0121409988248779 0.0649971696931848 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0258964275379507 0.0869428244688861 0.00701192145519475 0.0282489108733359 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.174792663683844 0.415997195327561 0.592618086052398 0.658829070635427 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.047173584847396 0.176099974971499 0.0349688463906733 0.176917132968663 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0318072482492328 0.179981822590812 0.00974831903306294 0.181889981020059 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0347701550963833 0.244620109318836 0.00466303843898794 0.308259781563508 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.181222508284642 0.483383250459408 0.81495580822125 1.65433549893295 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0396930592415183 0.132772719031315 0.126384575272804 0.0805702960547096 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358343153675764 0.0970807075270388 0.0321370480490986 0.0338214550548345 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0382328161802958 0.0940412829434206 0.0118141082426135 0.0287998870069027 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.03396436595132 1.57259165723625 428.422430812217 9.79535225106768 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.522345749189331 0.599895411269395 23.2713571365136 1.29766564957459 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.279295889787362 0.328090296609651 9.83593959006152 0.380217286403251 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.240816785447364 0.211874702679234 11.8767915789958 0.153755080464142 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.46471517873883 1.13044515020958 358.731203929932 10.5402637948372 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.424190855264907 0.473483977407469 36.0858581691588 4.22029316322484 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.28234955828951 0.354718562323945 18.6053143334145 2.81558596992824 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.170687040683472 0.354777408774465 5.15315219846315 1.83492016520544 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.877523636358432 2.97292620532105 18.6536758142339 1445.8040948012 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.193687308231655 0.574852010360745 4.4530684422215 7.59646011640944 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0954475490879307 0.521176848145341 0.646930961784867 40.421205071865 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.469680286438733 0.286607291269684 84.2182698581252 3.93726662357582 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.41749839990407 2.60699164422931 118.814726307718 38.0228744704636 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.785532800630397 0.996377112969516 45.5022950963645 5.09431183132369 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.502092163472211 0.532129432295376 41.1987288740801 1.23603449898839 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.455854631212555 0.335862002205694 44.5797259145635 0.378241517985217 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.13598174319993 2.29684282700735 343.416231864498 319.443909878524 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.718185514286485 0.988215312447756 71.9182337307371 107.054238558578 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.722954557722502 0.502733798397425 166.994018821184 8.67140811169755 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.58066204800852 0.382843441006989 103.765520019305 0.924935464333159 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.50119279724486 3.64714686751996 43.5696176118897 783.704683926041 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.199142016841355 1.9163327881449 1.04507198691569 550.48228734789 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111623729075801 4.43040605757173 0.185260125415845 7237.33476152332 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.37914379760792 1.30447123008671 11820.2744807952 584.590827818379 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.228764673142111 0.538104468805902 0.569023260948574 1.63366263015229 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0583593680350827 0.204613819421534 0.0373955237222918 0.235079021088415 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.026429368894563 0.113306124937806 0.0055353209843861 0.0707894236183526 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0196672650798948 0.0787808324719879 0.00214379350532478 0.0280064598523429 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.126442697961248 0.384464153671902 0.2568168011556 0.977959743100209 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0327298532414508 0.165927258169543 0.00712947192611713 0.157555182006971 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0282094415245987 0.172990468922302 0.00453411123410655 0.160014316396589 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0342374601794053 0.236751685981837 0.00433091052922511 0.284097011940664 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123470094410433 0.379413559277767 0.162451937298549 0.813498814831418 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0258214991439889 0.104755397747997 0.015329578264661 0.046944304424387 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.021327977027671 0.080071758401817 0.00384807438494556 0.0211825495866255 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0302698013731744 0.0910882844397164 0.00446923362714135 0.0270882967646801 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.548538086898785 0.982561341045572 3.39391884774324 7.12731521200507 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137807191136683 0.382485533145026 0.30760694032751 1.07240296272538 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0594197786182553 0.208841741919711 0.0556729603805633 0.308819951387119 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0378316850621169 0.132370612902459 0.0217679121922436 0.0937468408783567 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.310991704674017 0.72885748075587 1.62315611087885 5.91533689476065 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0694661419658869 0.282209558246411 0.0604161654982614 0.726839253228262 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0473768277627899 0.237076096698681 0.0239845444780346 0.45380658630128 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0449807374595506 0.271574972688091 0.0146959816295715 0.384455717519111 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.307215361319645 0.721858667095569 1.06049067045017 4.39454694798767 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0688078871333362 0.186290989884566 0.181178831896886 0.13929945243734 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0344900954193451 0.125792514113479 0.032475672995882 0.0618047550862469 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0401753225834879 0.12401123284055 0.0159260637807342 0.0525185904997012 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37117220982411 2.03844885074199 24.5119673973605 65.1106572818602 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.360709636536 0.832378441093224 2.94519912514223 14.2917226710032 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.168209537024178 0.449131747768095 1.12253769021268 3.9225588012168 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113908781428232 0.259320210711018 0.84347542347027 0.8217395442173 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.83111221282134 2.05778917554194 17.5738306687669 267.088190556387 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.187738062160356 0.670102589537748 1.20628328669709 20.4914883101467 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.112416406634397 0.488805009699239 0.306543644466233 9.45491922941171 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0952855359742721 0.397992964034489 0.170069423192983 2.61496219510489 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.792191946321867 1.91403929714655 7.84421667158395 175.386272529196 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.24564825302891 0.364135136377078 5.87327075567233 0.711499437530226 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0844672909215827 0.26486560072046 0.859359358092396 0.734648230171711 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0644619705948938 0.231063486680063 0.0639796691439346 0.456485730083765 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.1415603797972 5.18265462971099 329.838295209317 206.038150116423 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.6645483725931 2.06461062596095 50.5111378669259 50.2602522790731 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.817716638004896 1.23816367187419 20.7074617233275 36.475919271939 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.506070939107811 0.896541427127731 11.6777061200259 29.8412862339951 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.82753893064779 7.18847868488968 12000.2360237754 3170.42080159627 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.74669944040444 2.93489844478573 1980.45783012281 754.905955412616 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.91040439579471 1.46794583226136 790.229931936176 124.125683035553 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.94987266786076 1.09644558092226 849.481385929546 35.8604933451189 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.82655116353 8.10040863582564 58410.9792848613 4478.28665054646 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.42056849110964 582.696416523867 2993.86931037576 224057202.974645 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.17567536939265 2.80837013954489 232.514855137087 1967.62736781873 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.51165534492592 1.21549245234172 590.520109739362 118.313535176559 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.9633697752581 10.8278684440774 4442.31122772317 1880.04566979907 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.99250352831691 5.70459054277787 8836.11118970022 1784.14514995879 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.30230037659453 3.80552473914999 7392.62072711271 1197.31261358985 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.39538255062022 2.70799752382415 866.259822094151 564.864246687379 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 17.423519350004 12.5200212096849 32084.4947362642 14055.4902524402 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.81681789253991 9.57729565391373 8744.85576838971 12571.2881460366 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.94769751546883 5.4633780377798 1479.70415793042 4066.69436468043 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.45167804956314 3.25739110441337 697.987599313179 1028.78164399669 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 54.13762742296 58.0758117450014 521804.054770163 773609.97005869 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.0076682791519 34.6520985929615 19958.075890078 319820.507708599 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.6972266490793 2.81346628823313 22885.9627970301 265.886464456729 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.55157921983604 2.22780927055478 5900.09931259224 140.307833620529 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0444983618138603 0.0454706934583376 0.00526938904460236 0.0119651276965299 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0198571408266992 0.0293593699191591 0.000722982650296734 0.00308299164047039 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0194905495356495 0.0353098012819646 0.000552449194698745 0.00462853375585986 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0258715275436827 0.0492129068909525 0.00106575513011107 0.0110640769399799 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0395949481690606 0.0552697472328449 0.00471549430197699 0.00952024066726583 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0376069635332557 0.073476963718615 0.00334785336007829 0.0177125203944036 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0541285045683727 0.0991053191943602 0.00639108962695623 0.0372144639685919 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.070293972634388 0.147501318191625 0.0109586081780147 0.0850642495536188 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0278486884382244 0.0259902625424301 0.00333334381639949 0.00313204986916582 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0099179677299569 0.0260041525761386 0.000219000814884684 0.000755020906161291 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0155485759043849 0.0594876251351729 0.000683182272948313 0.00460940511015719 NURBSSource NURBSSource 21 219 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0321300783738142 0.110808136558602 0.0103655807106094 0.0201606542920046 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.099512870631303 0.0957845869960005 0.0368801254252442 0.0439050599915144 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0342610587878357 0.0387621151540079 0.0035160381689674 0.00518534175243147 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0244158591740776 0.0383327336262597 0.0012418811132855 0.00552847588071049 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0276085305270803 0.0514699431181395 0.00133060648109148 0.0122269480087011 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0700445335553775 0.076606289635853 0.022706454793713 0.0215480112540022 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0419170155047798 0.0745339703703555 0.00473680586672112 0.0184520970767932 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0545603295856898 0.0981499698647738 0.00675781260594142 0.0370174726546514 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0710494700525832 0.145645578799901 0.011408103544747 0.0834337997305528 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0605520558151207 0.0549207347218231 0.0153601543334271 0.0201196887019433 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0166953093475116 0.0306931442725674 0.000994854934063474 0.00185526037822716 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0174641339197594 0.0598244201558277 0.000856383950835093 0.00470586154972608 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328738131668622 0.111696998948295 0.0114066221436056 0.0210344795447208 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.168566071968531 0.169106211658391 0.130744786785279 0.15624686311535 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0553556453025548 0.0563707342699161 0.0114481942802117 0.0115162724147393 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0333749884032739 0.044543135482061 0.00321316725325071 0.00750843839292855 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.031513332482454 0.0540987960464052 0.00197249239444189 0.0135341030863352 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.115594864055124 0.116561905401834 0.0758358003734423 0.0662297910560857 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0520523226555303 0.0818269062297226 0.00914302736396786 0.0249373596858397 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0574172600235624 0.100618328668858 0.00812944722489749 0.0393008774993233 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0726884667202994 0.145404368696541 0.0124637252729069 0.0829597610241645 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.104860831287569 0.10001870919924 0.0521213935112829 0.073552095661317 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.027179178213265 0.038142360308889 0.00342779788905422 0.00502889893910161 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218701300004888 0.0614301835372019 0.00148993938156497 0.00514956465697549 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0349747622554297 0.113565249270883 0.0128559537809089 0.0222547436473939 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.321827690565315 0.325603551111573 0.594104411703172 0.714913602245885 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.101241072693271 0.0976888447517369 0.0413150819949199 0.0392528004818347 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0539462733264599 0.060467753336112 0.0105667817201655 0.0133372645327584 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0428900563324603 0.061122778555314 0.00490027555187625 0.0160974580264502 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.219006213869136 0.206221626883116 0.318067830402079 0.2580436479263 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0773264692397587 0.105842307678275 0.0268467570634496 0.0569967093153955 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0689466172540847 0.1097482725139 0.0146859527150656 0.0508904313182916 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.079676866693793 0.150140356275847 0.0168919882014501 0.0878079330031282 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.198770795336596 0.200465348953359 0.21626963089801 0.293215185583416 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0513299284507624 0.056019259294119 0.0146576048067584 0.0163913832072808 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0331531751193051 0.0669761178150588 0.00434274215520018 0.00688934278936932 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0413340928796022 0.118309851775835 0.0170123416773479 0.0249273362929215 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06231463712016 1.26717885276604 9.56947145617151 71.625939350696 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.335153988070949 0.380522676736311 1.08596051338367 8.64203556357044 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.183467772012908 0.16990535322432 0.561011552460201 1.29157244559645 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.126972753461171 0.115623185000811 0.324702713900197 0.264473507064087 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.865297757782338 0.64126197820974 26.4372335923124 4.66590828822785 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.241324490958612 0.252585004961664 1.25425815147607 1.06635620311314 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.167701358640637 0.18712167302127 0.905241268359847 0.505142391677518 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.145682109289157 0.197841276389013 0.409715754445703 0.30142463980999 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.643507884989334 0.6837378533456 3.38280788000917 4.22819243525415 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.184762916467736 0.163465131359983 0.699958036294021 0.262582388289841 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0960679348620716 0.113739372269456 0.127870603737008 0.0656297082853568 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0898554440134346 0.162830511782987 0.108716160293555 0.143202771894135 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.0579922090891 2.36671734697177 81.017178819037 202.847695930881 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.677043087223684 0.877809490123241 15.0445170903152 88.7132990733801 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.373644018250888 0.531694371735188 7.2175062681602 49.7720481736007 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.255031806371458 0.40542025490322 3.8158742279298 30.5774372946852 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.50226856665564 2.71607537221796 1217.9633984135 2603.08705452002 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.366671156135782 1.50500550797819 1.0645821637285 578.438064456532 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.2189457820722 0.707864013718995 0.368610102244546 90.3066972218491 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.178022642612454 0.492498905935015 0.199657218970683 26.2821417104471 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.85041213973045 4.63763215359991 51804.3036357404 11691.5018268012 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.42646670102758 2.55846970629734 9.26494280934896 2391.64532322703 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.196277689477411 0.927768069775536 1.39618710514877 251.302956125492 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.14934508871437 0.471363674408858 0.316279256495147 29.6230841661114 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.331243078456495 0.336682808591155 2.34657654425907 2.65209537404019 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0955939944317539 0.0920500705676443 0.1461242933173 0.0583580699495789 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0517108050718711 0.0546540283679244 0.0390220893330618 0.0108038264603382 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.041830627467051 0.058165843295207 0.0123701003041047 0.015799609148168 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.229934333292824 0.205914937765618 1.85156278676896 0.693030836112973 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0969837280655714 0.0946955225665916 0.321566585759844 0.0429710543721984 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0823901508833415 0.106248330211168 0.13180718031127 0.0507466784630884 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0889776634649863 0.15172518672466 0.0742601710764862 0.0932417981892694 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.209013616227749 0.173536780655932 1.3075398308531 0.315069275285363 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.062491335345442 0.0596786851263338 0.130253687659051 0.0645944985517626 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0394211292288556 0.0746017053261445 0.0334660010463969 0.0360680568819587 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0450090785360466 0.119810243112007 0.0223296907084139 0.0384188054733093 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.683079389721824 0.717379428787281 13.7350456157128 22.9711001285742 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.225898879887434 0.194151162315536 3.24897900662794 1.02384427423642 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.120632795451394 0.0909554674628495 1.3578977147866 0.0627864454815433 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0874099889843402 0.0723550619937141 0.577003708572179 0.021625461551056 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.517780039527331 0.421973615911475 22.8675206414653 4.32887427151896 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.212873449802696 0.13550622689373 4.29836506020612 0.100260704451408 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.145130437727998 0.120407268785272 1.56176521674895 0.0663581894525434 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.131079275471848 0.158112833228017 0.717785494885978 0.0986446601888276 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.447426506590686 0.358905253783278 9.67630860092836 1.53727652131252 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.148517508676286 0.128358885301935 2.44076718358737 1.1823854545982 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0922428204978247 0.0882782399368968 1.16650538623356 0.031261957599643 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0882255108436009 0.126430366365814 0.710082630795612 0.0316819827422687 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.31721153876552 1.25030402979481 34.5875837777447 19.4161132136514 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.48573397514133 0.411857886746429 18.7094820475382 6.69686516472154 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.299694522903606 0.220517215372509 16.0034760984582 3.67224953954766 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.228764376329296 0.153225294714264 11.0800536069395 1.80562698497734 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.55934003987317 0.927497305885539 609.473853114167 33.377294889341 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.661505721922339 0.236238213184207 86.1780275615129 0.303348023146002 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.341947392675697 0.169520312528948 17.6853137265588 0.134012588311231 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.253110180221325 0.185827879884621 5.62407547639849 0.13009071089309 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.1554270437765 0.940341751226913 173.530279456008 61.0787989312142 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.720777216595998 0.325436050823357 112.893457951318 20.4577008743397 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.589415317373745 0.15523166343831 107.663937177278 0.749933637213652 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.421490208189865 0.179622503602219 44.2981831866423 0.32494682651948 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.8420378971113 4.26990997836535 208.551272550542 312.043006314671 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.40551807516733 1.65830491309182 63.1289186214959 154.278489307447 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.832776698473464 1.05782740877078 35.6264970879939 116.310932820985 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.620698552829966 0.737411181509965 23.1223959047288 65.325364068839 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.4233531272819 5.5862673066902 70714.581401484 6872.54420029534 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.89645631438216 0.775475802261032 36918.6187535654 8.02178104454161 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.90264948289109 0.450347841228057 3297.79777273239 2.02306672368178 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.04177941168404 0.342508637201807 1218.09302947351 0.541793301466395 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.1812715849444 15.0632906976711 134759.384250399 68683.3643546333 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.7514274321045 143.794695392275 72757.0199551074 18389439.9445199 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.99303687484291 2.23445249264499 3641.53534063623 2974.06882995101 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.38807101977307 0.538585779968875 1579.92163597979 31.0010452401844 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.83038798567655 6.12134080830819 1005.00209886495 293.715118000678 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.72865386289404 2.71261882890535 510.019214794577 399.609090484947 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.71781137937691 1.99895483739461 352.187429324754 542.367752784812 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.30883458300565 1.68704102425893 239.46139512014 565.249268943176 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.2058188125663 14.5910616132652 18132.633725577 83231.3545572657 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.23730874562656 6.22158663502489 1779.55504713632 20129.4083914314 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.57538825096767 1.33179351781748 129.658435625784 343.740248965729 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.47376547460745 0.851922877076474 165.159042474557 99.3277752156408 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.4490788597773 23.370234806871 22244.6018904509 169515.428934283 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.1658413989292 53.477663521607 346834.230568716 1432424.88845215 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.05147981248621 4.38473352571767 396.115769440372 4984.43283907915 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.92695123589718 8.14534216273795 1225.94329268913 45821.4777070327 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00110651927300252 0.000571078022461419 3.62630830428478E-06 1.59592024983875E-06 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00352774355842744 0.00175093818015943 3.80860533516998E-05 1.47215118374001E-05 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00734082495987984 0.00360958426012939 0.00016517015244437 6.22701928127731E-05 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0126935229336633 0.0063238148729454 0.000483796394108259 0.000189412271721819 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00420872063183857 0.00210613938535569 1.86807306352812E-05 2.08987587133382E-05 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0169305058981411 0.00756603446238214 0.000273124952872429 0.000268955827319707 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0362044462324639 0.0158389640119336 0.00123346471379886 0.00117784109661237 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0614716079187333 0.0267669055673117 0.00351567422339464 0.00331420476506777 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00547983249699589 0.00104000083636461 0.000118708422022799 3.14038403530899E-06 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00914401409806722 0.00255488436151681 0.000294269045143694 2.59560003265423E-05 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0175706508693056 0.00565871718942065 0.00104060730537122 0.000128344171801699 NURBSSource NURBSSource 22 220 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0299670443943536 0.0105780437316527 0.00285521930063737 0.000454943476946917 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0832245741268191 0.0888226269066999 0.0181995344997641 0.0228314882442385 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0352485385312497 0.0371967059138525 0.00306130661198609 0.00412963899595218 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0214796995973824 0.021171879747262 0.00105727005180548 0.00145038680540983 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0191193168339755 0.0147483817393772 0.000854503456200322 0.00082291259734613 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0507345246610416 0.052626924446195 0.00624441231358883 0.00850866044401325 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0222968469934867 0.0161888649416629 0.000621685444572225 0.0010314329761163 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0373796900963085 0.0163042993734223 0.00131232702760883 0.00129681655899607 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0617721012065188 0.026791029944368 0.00355146500839001 0.00334465232080403 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0421725822829742 0.0492372245523737 0.00498987098583261 0.00711670237789017 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0157741021814796 0.0147203394783467 0.000748839736440304 0.000680024238828876 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0189305561505144 0.00913781475288209 0.00116332669784711 0.000303125966426147 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0302056252720065 0.0114084059478508 0.00289743565362576 0.000522400865043635 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.166079314973576 0.177903545645136 0.0743872216042538 0.0896928180512297 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.070155091000782 0.0743687904541325 0.0124786001088749 0.0161396131394645 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0404213423859334 0.0419789235930616 0.00390000739616881 0.00537994018950241 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0295624883880704 0.0278775561712653 0.00198622752343262 0.00259516075942131 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101238615424207 0.10526354965337 0.0260595921956028 0.0332269467034583 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0331233758644372 0.0305175889527844 0.00180897365677355 0.00321445457015402 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0394990290001548 0.0194528028682014 0.0015501504099042 0.00177803099587078 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0625471612792363 0.0270242483056746 0.00365219087688615 0.00346104663016075 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0837545664680343 0.0984436368216261 0.0193090107238515 0.0281533348788128 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0269325262731332 0.0290305645457103 0.00205423119233003 0.0025550015996743 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0221930009502489 0.0153586758130848 0.00151699214241096 0.000792301757197521 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0311744730807402 0.0137386700571011 0.00304684390900716 0.000728003490573059 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.330777493186157 0.356705460167718 0.308665791748759 0.347412524798853 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139922250573626 0.148868342577699 0.0510242420093586 0.0633160193044601 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0794926173860801 0.0838027806071878 0.0156922528330114 0.0206898553520382 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.053497961106134 0.0548745206919122 0.00674596573504386 0.00932911536902534 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.201845056050929 0.211138333069889 0.108367167355126 0.129689973316553 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0595577966706797 0.0601211392819812 0.00721332381349213 0.0115257856921766 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.045904144332048 0.0308518004548247 0.00254340549178783 0.00379507198867834 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0648126335022764 0.0290227868692177 0.00405196577257541 0.00404751072390833 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.166848570934165 0.197110134402181 0.0772678074521006 0.110616088026069 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0511689388565538 0.0578201985185038 0.00720402639081441 0.00989704553511222 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0312329373187916 0.0288520373035265 0.00286184829503053 0.00263891438862805 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0346638442404414 0.0206054861712055 0.0036398042464026 0.0015163714635578 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.990579009522595 1.07137913070705 3.17566520461405 2.76673280535588 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.416655998279652 0.448822369799266 0.484491789798063 0.545010741930832 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.236367965525646 0.252098128702874 0.147132509678641 0.178566840596556 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.155027894105443 0.164074943586431 0.060715005955304 0.0778737514342338 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.599229350153833 0.638585087554078 1.06933522252224 1.08294199280832 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.172066943616633 0.180287088814325 0.0723597481095873 0.0961856107279222 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0907186350220368 0.0851260556033732 0.0152391777745739 0.0234950333091145 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0811118546259309 0.0545060100561105 0.00854489270305576 0.0114758991568219 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.499271069639444 0.590746259373959 0.746217021537488 0.922683883214747 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.150864901097196 0.173306346387139 0.0633038640832522 0.0854955177139943 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0779193733124628 0.0848580441184923 0.017212030758852 0.0213469542157041 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0580989231170347 0.0535076153726706 0.00973070038887222 0.00918084989268406 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.66789989657922 1.77996257629426 9.71319733975026 7.04457591087321 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.691445060587349 0.749244257946994 1.40818955330464 1.45313542563484 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.391890811750434 0.421296156558566 0.419599842755017 0.484259959155082 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.256763176869813 0.273846577729219 0.172230903656224 0.211014133110201 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.998689042744445 1.06473960507333 3.21723904793468 2.79762771002066 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.285239241385563 0.302220499122499 0.211051646897578 0.261770140974039 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.143650852755244 0.141471390645169 0.0439537506522377 0.0613428784450323 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107070912920519 0.0859689100797073 0.018558774653562 0.025528863123759 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.839412047933903 0.975498504648852 2.25911433608725 2.35371414979468 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.250807560002152 0.289172747206179 0.180411008371588 0.231428141085282 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.127590495446512 0.141467424462223 0.0467224177579432 0.0576671259550882 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0873914521238599 0.0880545408172545 0.0221336300495918 0.0238197594090582 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.262957619789542 0.280302443451155 0.205172949602554 0.231268150589063 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.10924138316305 0.115696183836308 0.033425614616658 0.0414602000662942 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0618847456220861 0.0652081525980488 0.0102565867017952 0.0136618759236151 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0424763739183639 0.0428010997211975 0.00454005756993799 0.00623186874513923 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155766450327655 0.167093401765305 0.0681515030740332 0.0880641131480347 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0469602624689728 0.0462630267839202 0.00455253061306945 0.00748277502381235 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0425509388456236 0.0260035228406746 0.00207764865024328 0.00294478386157256 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.063653032470827 0.0283710543927989 0.0038700287644311 0.00384734666714129 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.130797696972325 0.155374042621677 0.05026399936547 0.0743992943724597 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0402084698526326 0.0451602417630875 0.00472797245694022 0.00647722370084185 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0275947192388179 0.0233834237684943 0.00230179988139054 0.00185500789722732 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0330431854479589 0.0177511806953447 0.00338681738746637 0.00116172624040091 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.523542997933748 0.561879023981782 0.867089747932105 0.879879010853169 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.217807192014171 0.231726515403386 0.137063379166484 0.162573265245327 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122705351435487 0.130341413216777 0.041817409816132 0.0531618505492665 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0811065344944223 0.0849641298885263 0.0174364763751581 0.0234031267493168 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.309766000425639 0.335850513715149 0.284646195909826 0.342349478207716 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0890305757372419 0.0917724699824252 0.0191934731869741 0.0280011458347775 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0562117794783633 0.0458456416640551 0.00487590102716174 0.0080485377107314 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0679474486278195 0.0353962394133595 0.00494887488908353 0.00570870831393781 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.261242011906887 0.310958312858043 0.205737576383176 0.289417673321328 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0785164570100328 0.0902144352737818 0.0178939670095694 0.0253101124395397 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0448922257118108 0.0454909600274728 0.00592479570270811 0.00672831033765953 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0407637157306496 0.0301065267834412 0.00496396416036618 0.00313794340156947 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.04984588336426 1.1207415488569 3.8263466844057 3.21142159669475 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.433112944188835 0.465074615625316 0.568611011649849 0.631483119627978 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.244296929236692 0.261003438352885 0.171903695120277 0.207594024139562 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.159879159564384 0.169753962460714 0.0708396521718714 0.0902973881040943 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.617079568259397 0.672903688125522 1.22640894213424 1.28455342314144 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.175534169658717 0.183738815997711 0.0820122964011963 0.108077718060467 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0930481943030182 0.0885421039952189 0.017623662548573 0.0273367525052378 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0825390504827839 0.0569639075849801 0.00954175704390379 0.0129988611475455 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.524026099407531 0.619292370584457 0.880514270041393 1.08087900506208 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.155822873706744 0.180769288910505 0.071651101765615 0.0989148000632559 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0836249054958508 0.0904332096498326 0.0204812841121272 0.0256242641839706 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0614339770609075 0.0570486210819688 0.0111424705462634 0.0106426772349625 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.25873486361586 3.34676123847171 42.1892421144629 24.3480585675504 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.29543224282775 1.3913218625772 5.77591887735101 5.05938130355484 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.724591170432412 0.78581669423393 1.65576829845392 1.74914233002394 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.473234673487204 0.510999334210826 0.669250037812664 0.770173130175895 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.89561451998484 2.01019363081777 13.8088683146668 9.77681141052181 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.526518450615718 0.563867038794623 0.836499375575398 0.944336197300534 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.261230991558576 0.268485414163736 0.179190270736838 0.227830732031682 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.178391127536062 0.160560334996581 0.0699037120072419 0.0861326771364628 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.63562001127352 1.81202713440044 10.0869515804069 7.8427395148209 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.467248345896794 0.545145864157075 0.706759089703617 0.833043712865611 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.245148714107162 0.273642984882212 0.187646930135414 0.217631287523292 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.161305193580413 0.170040675757311 0.0815338741795887 0.0868374570227504 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.5390963563212 5.61149431452121 126.342025722521 64.4421993346894 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.17392123317767 2.29786942431167 17.2630197089724 12.9195139953359 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.20188508623557 1.30282406217847 4.82712332568061 4.54344826668658 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.781371113943491 0.849814539341094 1.91179206660445 2.03504406987902 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.28046690436226 3.39902721479796 44.2866688977698 26.0284544957062 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.895720582502395 0.967485811231102 2.63995802442839 2.62494432278227 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.440042819404092 0.462049620709605 0.557979743882328 0.644832190503669 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.289936538980838 0.275075769328916 0.213766208359282 0.237628450744944 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.82290740734846 3.01090712035915 32.1141420294088 19.9965750658487 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.790734464389994 0.911554688704961 2.18492758347313 2.18342053344927 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.412430583863703 0.461578483357286 0.572469638570668 0.586252244278746 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.269705591606416 0.288829389248357 0.245381967573863 0.239509367071181 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000508391536699637 0.000306306379868103 5.50316499556313E-07 1.41692430079495E-07 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00147175172746062 0.000742481047352796 7.31922695503406E-06 7.71196450694203E-07 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00315831544671729 0.00139593442260128 3.3271986248797E-05 2.83960639308997E-06 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00511387172445778 0.00241654335765768 7.17365223568929E-05 1.73049114398692E-05 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000726777030894747 0.00149971849806746 8.10534558377915E-07 1.5094569731876E-05 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00287361491001117 0.00672530928242124 1.58335838485094E-05 0.000318695541683544 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00631548399436555 0.0146388612144187 8.15160087862537E-05 0.0014963278161282 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0150394719619429 0.028357284137361 0.00102129854696298 0.00625275316810295 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0016900079660487 0.00145816852815289 1.56208159629682E-05 4.08551888692419E-06 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00351457777962381 0.00370191792012252 6.52761176656848E-05 2.64301288493526E-05 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00804648426444156 0.00837369533516639 0.000283124917871029 0.000145084076793342 NURBSSource NURBSSource 22 221 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0137836118118455 0.0141765039159022 0.000647544486163403 0.000419456815515775 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.101057112412617 0.180145461210482 0.0355320808801303 0.0953341610394798 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0364910508272007 0.087585911677226 0.00424740723321955 0.0239343167811551 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0202097131425361 0.0502971687975801 0.00121053072341326 0.00802669975727283 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0145807898614169 0.0326277153273138 0.000545708974335538 0.0033682475542511 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0596355732567073 0.0851212837475765 0.0106072644629096 0.0216444417992705 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0172121175762443 0.0254181647908057 0.000803058925220304 0.00226063721850199 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0108529521244165 0.0197848061059025 0.000270212311180261 0.00206486534514393 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0166327286078072 0.0299120088804529 0.00111923877118856 0.00653244354571808 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0516725636369027 0.0705984481069143 0.00790386978363726 0.0146523417404521 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0174258916599733 0.0243265653527208 0.00087079349538162 0.00168445545081809 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0128746257691638 0.0159504656605644 0.000523663041528814 0.00058877976123043 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0150304267716326 0.0168490801431352 0.000743356389926312 0.000605539084693746 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.213734136583742 0.348623384399552 0.186244128757455 0.336330112077758 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.075585673318929 0.172490959268241 0.0205125162210657 0.0895946954731796 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0400046872313125 0.0999864182173093 0.00512558409912979 0.0313579904634334 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0268103720888477 0.0648176850214118 0.00204135576983624 0.0133404402826133 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.120786400001329 0.16877626607782 0.0469011921160557 0.0814291684530418 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0339406290759355 0.0487849792109342 0.0032674353585853 0.00762920977876247 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0181033878501543 0.0288855453192677 0.00083450539635644 0.00352248920796889 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0199111339012762 0.0336525609858924 0.0013683183429394 0.00726597621006907 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.104216254854459 0.140234041567596 0.0336853097781464 0.0560920658632443 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0332558464143571 0.0480656149939378 0.00324007736553434 0.00682819369718555 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.020499154692193 0.0280474281829787 0.00119976448425817 0.00205856078432568 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0187235249489317 0.0230158365214497 0.0010407866158863 0.0011989198240692 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.464476906239866 0.659922509421755 1.02602029644261 1.13371997105008 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165148612925191 0.330916932172308 0.118743342409802 0.309536036264058 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0836102659034131 0.19592278239294 0.0257586622410429 0.115634246448357 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0528622987122427 0.128313403141217 0.00897548668072139 0.0512675692633291 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.249073412416038 0.330269064807501 0.225889151960744 0.291075763916008 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0678983511086157 0.0962124058325809 0.0137790275965518 0.0279597682458638 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.033930695845149 0.0499477296000756 0.00316625314598825 0.00884088661374733 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0283799084505338 0.043969806226051 0.00233227843734397 0.00981012082071571 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.213335837642632 0.275480793646837 0.156126714687203 0.204113233170437 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0659486527305838 0.0954126900729301 0.0132781111287544 0.0269453585665183 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0365704389214727 0.0537469826322722 0.00386438027433786 0.00817775493321934 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0280928922099488 0.0385394584147232 0.0021884850795026 0.00375881647877645 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.56667882560361 1.80192318372515 13.5201953246692 8.14644102133827 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.60622594936568 0.881731461060808 2.00381016859781 2.02795488536092 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.303651981846567 0.5337954243066 0.460699964383813 0.772974601774307 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.180170706784092 0.360376826880491 0.142849567845016 0.367241430838186 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.804059698763607 0.938442131945325 2.93655799127144 2.10308487950143 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.210502890650246 0.282210121193691 0.156193690002515 0.216399675946792 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10052121767619 0.140398071442202 0.0312029397857809 0.0595044753070733 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0682958885219167 0.0957262895909785 0.0131749149656825 0.0323194733931221 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.679482377546294 0.785887329473359 1.97202584308634 1.49189400972842 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.205233812253681 0.27806238932667 0.152219742688193 0.214030591459638 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.105153057438043 0.157304727617729 0.0362855576963297 0.071048167676032 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0702607884954749 0.106485763691473 0.0149948393681581 0.0321774246257012 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.69972134981547 2.92376027849928 41.5926482092873 21.3808571609727 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.09177437940907 1.38758938830132 6.80327342665329 4.98769898626535 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.559257008202432 0.835882400789572 1.69467977896711 1.83617441682198 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.331906432716262 0.567556745652325 0.549010551381199 0.868286227408842 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.38432356700064 1.53235671521312 9.42269680135568 5.41957713780191 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.362886161764519 0.463963607148887 0.517721326554456 0.554793054173314 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.170777858884669 0.231589619870176 0.098020531355692 0.152114227661556 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111065207174081 0.152091194495579 0.0376727313854842 0.0731997616831521 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.16454262995775 1.27746989833645 6.32463682967391 3.79417788854943 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.355020337105703 0.452133926820153 0.510931578894 0.539033308348963 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.179454522290415 0.25754611491788 0.117436270624645 0.184263998536 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115873676934672 0.174925503740635 0.0449225174968248 0.0868049947808121 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.385743055001046 0.557222860128247 0.675452240274183 0.805790191153741 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13607481100976 0.278544333750905 0.0749296689417133 0.221308128360243 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0692631867535763 0.163883690057791 0.0167889008465303 0.0815590199779205 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0443393283806106 0.106829572637909 0.006115122505507 0.0355921849513232 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.200916857575971 0.274858152871267 0.142453803948802 0.208659966083557 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0550469176022039 0.0787261299808479 0.00896905679860833 0.0194969087144531 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0278194879131366 0.0418650338982171 0.00212355832595807 0.00660264888360007 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0247576704810475 0.0396886371050319 0.00182157714069799 0.00873702826557138 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.170958773277964 0.229367077035687 0.0979399979870025 0.148106304733272 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0534629842843032 0.0784040374432486 0.00874152630856283 0.0185306786319501 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0306598423666007 0.044269831006627 0.00272388327665119 0.00555969603713107 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0242224037319611 0.0324924346036287 0.00164030599693177 0.00263235683594506 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.836645150479441 1.04727518154301 3.59439633925547 2.71123990128855 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.307125350446172 0.522210804453783 0.459741890395195 0.7236873703019 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152144307153356 0.313741013790229 0.0979328071199465 0.27913202005292 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0921216591143871 0.208687211951989 0.0308937980044548 0.129992230353252 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.420365385214288 0.531395875918842 0.720775751931527 0.727405602890171 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.111065064479606 0.155782743341603 0.0392193636907034 0.0725009287023506 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0543396853700624 0.0778073740237412 0.00864649998766022 0.0203022799440954 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0398288976936165 0.0591057675493296 0.00431985175029469 0.0150479887498688 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.354868094956559 0.446275897886919 0.482258950294374 0.524936568448025 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107799216888909 0.155322742459491 0.0380115726549323 0.0712286836945656 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0577796518253758 0.087046885848351 0.0101942623436561 0.0222909267046621 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0404583451342216 0.0597595505213215 0.00463550357032091 0.00991368587789828 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.7806090718918 1.98545968001836 17.5453241220754 9.59324897679573 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.694567508133176 0.964050801865718 2.63682648911502 2.35582294277771 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.348682137099853 0.582928195063041 0.613645989868027 0.898115003516973 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206338519466831 0.393987491325691 0.190662789061506 0.42901970987591 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.885571012784656 1.02032164089791 3.64360386541317 2.53472507211422 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.228597642086027 0.306124315511844 0.187202589642366 0.263408114054293 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.109340781746781 0.151930146882666 0.0379589071783832 0.0712458660837147 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.072817100750432 0.102639789033113 0.015157668063458 0.0376796009278724 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.742468873911846 0.861560302936605 2.41908465896219 1.84733787880189 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.223117606838641 0.303416167169352 0.18443147815891 0.257240086782803 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.115143272527778 0.171649677134877 0.0443895358468101 0.0857937941330547 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0755094803827849 0.116246844827415 0.0176120016910157 0.0392595945720218 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.61973579442007 5.74726754914891 184.01458743558 77.7544913357809 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.35129205122108 2.588024298541 32.3833463184613 16.6844260879689 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.24214768685564 1.52129952665437 8.77525037829539 5.78954770052016 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.751517813285074 1.02706620769313 3.06060651506694 2.65637066153757 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.84953469222781 2.96774239728994 43.7607181991302 20.8223143731897 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.758077707413724 0.89279367152739 2.61935504179037 2.050174900264 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.354358564566788 0.450253275227001 0.503227470805027 0.560456820017508 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.221570354383132 0.291683954823493 0.178200751939753 0.254149606555196 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.38082579088608 2.48639317466148 29.1970274920894 14.9246266714847 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.73280618459665 0.860981899399094 2.52121737868612 1.89977546751454 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.376620452243593 0.49174226232691 0.61322597925955 0.648066888372332 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.238425182491557 0.337464688014696 0.227743758984418 0.316400877222429 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.46747446646306 9.54701574239168 523.848964192504 206.203299462477 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.96885372905338 4.15413966410902 92.4970690971896 41.4264440461631 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.12630273181671 2.37743876639963 25.9575257604309 13.7190462051926 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.30815508077864 1.58302939597788 9.47002371192858 6.06377617788509 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.00793697862515 5.08160433036422 143.059726157403 61.5526120873728 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.3827305131544 1.53042947551754 9.81360584877966 6.02245072133002 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.647637802301453 0.772138218972391 1.96355042696536 1.63941088921714 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.399214379227241 0.497535404420968 0.693784406849792 0.723584051738959 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.13815370899081 4.20952481095984 93.3388993108782 43.5926752239144 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.28879199552493 1.41485026308462 8.59496555077679 5.13109333739169 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.67726768290613 0.808240655083833 2.28146149770258 1.73032993595816 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.434534668826538 0.557902880093522 0.903991675860935 0.846362887999805 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000297832007805636 0.000880846552175673 3.9659340658424E-07 4.1502417844197E-06 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000925937980442955 0.00318387729044879 3.60804404117016E-06 5.25498292304334E-05 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00210026686318101 0.00684742268089103 1.69165796926819E-05 0.000243833726623977 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00375982488726592 0.0119893818761651 4.87567768717781E-05 0.000740194790523566 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.003170106606482 0.00697419696379816 6.14467456222199E-05 0.000271950122220465 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0138677703398573 0.0276150390818553 0.00114602676196251 0.00420249822151011 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0292259901456582 0.056565675290674 0.00509344163096894 0.0172124885255529 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0481505212144133 0.0923235215489368 0.0136320643710981 0.0436040316207355 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00278486738998331 0.00455901342833593 1.25272382714154E-05 6.19828658291294E-05 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00522960139128852 0.00902636482679676 4.9177501852318E-05 0.000244157367802852 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00974768331904713 0.0177782286051928 0.000182564913783064 0.000968487391563229 NURBSSource NURBSSource 22 222 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0156068822272663 0.0293088904754783 0.000461980698196499 0.00264182995688905 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.065933913136251 0.135562587667413 0.0181804829313235 0.0629418286326644 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0267429507661204 0.0571716106657785 0.0028644843539374 0.0117807020762313 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.015314339447093 0.032472118328368 0.000896580517397257 0.00406201434297414 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0107267491539236 0.0231972352742483 0.000400990222211816 0.00239812561605961 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0454787365254142 0.0746181008639519 0.00904298498462875 0.0186853841898417 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0183230301707151 0.0359158116145574 0.00190056606670297 0.00607592698937263 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0297163859048835 0.0578078038200921 0.0052959835723049 0.0178439911889742 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0482961855069172 0.0926316772315504 0.0137469071620544 0.0440097097230856 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0401131587748673 0.0662752595250987 0.00667438245979444 0.0156199993852406 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0126149523373212 0.0216949064930973 0.000548437243731749 0.00147305512838405 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0107802047375711 0.0210443961752378 0.000294101943678039 0.00128448653795864 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0158043703878523 0.0304381602965603 0.000510178449482886 0.0027869002611302 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.132517532759776 0.270101630954264 0.0771589402601733 0.243408943110935 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.053590254280385 0.114080315211285 0.0118215708539939 0.0460175732654988 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0304536915773208 0.0641250002820183 0.00367963640822508 0.0150403789029955 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0203250867310498 0.0424706305602395 0.00154217474225683 0.00714943960884198 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.090796074873244 0.148514984990455 0.0367965190571779 0.0718286818803023 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.028599473321747 0.0516471200334179 0.00417478493015001 0.0109975196278188 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0314902886499069 0.0613827553935463 0.00595265293462275 0.0194553093577294 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0487239004804067 0.0934692446158164 0.0140853929801044 0.0448419877505291 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0799783977407393 0.132443773589507 0.027652760671581 0.0613063068637039 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0240450239096979 0.0403406408368084 0.00218484000877683 0.00526919378706673 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0146290394877254 0.027887747302685 0.000651898976929395 0.00224524532100162 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0166148262872946 0.0332942676081157 0.000650829971220305 0.00320395746400589 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.271059676456882 0.532799207723311 0.354442595285613 0.897345660506867 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.107649028740565 0.227529723655169 0.0496763135448605 0.178919569313689 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0609423285347274 0.127700949325653 0.0152594401946857 0.0577756259942406 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0401480582901779 0.0830372090628741 0.00633865450866224 0.0254292619162612 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.180172775206643 0.297802144375833 0.152181659791052 0.279255174634342 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0533111228481469 0.0895544265980337 0.0132525214194265 0.0294632942946179 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0388689207121546 0.0734217696836528 0.00870944719890363 0.025410534242684 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0507642172093843 0.0970889557783698 0.0154927783049427 0.0478648743832639 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.158581888299425 0.265910687280534 0.114571105063473 0.240200834859277 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0474230271915442 0.0791645353550693 0.00902351882879785 0.0205745673165218 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0251495776957298 0.0453066220273187 0.00220163878594783 0.00618616322035632 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0206453788247706 0.0413993190539476 0.00122798323949798 0.0048301243064913 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.939369729970091 1.46438836948174 5.10498304449565 5.97374185739033 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.339233491648987 0.664202497278196 0.56490347246057 1.38422427872927 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.184975399918088 0.380003655364288 0.153020875411923 0.484035071152954 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.120687219501552 0.246536796662595 0.0619386367513518 0.209679445882434 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.553553297470018 0.881985813481633 1.66790600850776 2.24571746916241 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.157175309420023 0.255960098868219 0.114800625817918 0.213289311469718 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0875666380800188 0.146298961729265 0.0386636624172679 0.0820522514738279 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0746285486883425 0.131376062050223 0.0318689258158919 0.0776262395066536 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.487471055206522 0.785981772288796 1.26295171318114 1.90350110093176 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.14092840209055 0.23755986597859 0.0864331264729846 0.182394840106228 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0710761299208284 0.12492696048467 0.0201832912940703 0.0493539154721356 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0478231865256842 0.0865770983157577 0.00817676809473458 0.0224093897323507 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.70658806947 2.29872721945206 17.4220389268791 14.4351028752044 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.607336712324757 1.05812385278029 1.98916624322117 3.25824093409177 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.317828522857727 0.620491188981917 0.485365724901557 1.21608290669053 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.202857249701741 0.406984670794527 0.184181704858592 0.551084691915797 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.974377412830237 1.42099345275921 5.51567243020236 5.61275850189133 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.262885226991194 0.425287618697885 0.337084879505451 0.564190005721027 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.142426388898633 0.230327469661655 0.101545370692528 0.187906282183175 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.110378041132348 0.180603100795537 0.0665232977509977 0.133353157896534 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.856018788989763 1.26522095449754 4.22443099662467 4.68172295592302 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.233672652615906 0.396552794316538 0.250546580747868 0.495282582932585 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.117514322430842 0.207031671696453 0.0579732164403695 0.135162894710921 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0772471573658817 0.138156843547727 0.0227404061062543 0.0581128740339775 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.205764752673818 0.412217763423197 0.210464193074059 0.556635320967994 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0824266312843742 0.173454236435589 0.0303991839302137 0.10773599855376 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0467659544384398 0.0969490796876073 0.00948756600052165 0.0346394459061415 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0308592712775218 0.063290931538693 0.0039648943141559 0.0154740072119715 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.139135522424231 0.226630925485812 0.0930280202294528 0.166813103423242 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0419579344654604 0.0712589513221666 0.00879855429733572 0.0194421366843747 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0355655739249714 0.0667697775953303 0.0075394926442139 0.021676905538447 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0498154813153277 0.0944553424354881 0.0149660904596316 0.0452318736822259 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123287367265112 0.200951101135032 0.0708395858708327 0.140033124682129 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0362136748006564 0.0622784561429394 0.00541867057597676 0.0128023009554188 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0202109568179092 0.0376201696299981 0.0014154683823292 0.0041354346983213 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0183009210831236 0.0375959347660828 0.000898672751463289 0.00398865626750961 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.433795556697917 0.797232694779059 1.04622630195543 1.92310884016691 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165557156810272 0.345164472250669 0.129058256750811 0.412222261497012 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0933247961090684 0.193308865468588 0.0390099741545719 0.133918689687834 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0612328774276241 0.124989296329996 0.0162541435745049 0.0575864668116965 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.276318471416405 0.454294191176057 0.39422683903178 0.648639465710616 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0802264013369006 0.132736607841768 0.0311609694707348 0.0626150528417406 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0515121094294425 0.0894555070375515 0.0147469666998809 0.0345318161523447 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0560930389736824 0.103391270123399 0.0190585469462252 0.051648386312584 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.24462380363617 0.40289316480505 0.299881723523954 0.5436596012747 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0721211292868489 0.122972435011245 0.0224348371517309 0.050118061123251 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.037545063166968 0.0670601911577527 0.00544412037981146 0.0137836357974951 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0268430639676448 0.0534031029152423 0.00235425495817562 0.00798845818518119 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.966280432547735 1.488515423315 5.67629052908824 6.26201928450949 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.346056244793241 0.673448983578889 0.62559439114149 1.44935409632243 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.187864776919911 0.384845321641422 0.167272998666552 0.50862906921298 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122300090459011 0.249068910632525 0.0677258195791677 0.220048253389552 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.567521667489964 0.895608719123673 1.83091491636954 2.39523901770891 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.158340709668665 0.261702365140383 0.123016978056928 0.231623265519454 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0909575421843008 0.148725861005658 0.0432551696688305 0.0842716146694707 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0787290832678623 0.132831127464099 0.0358249602175156 0.07714951731148 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.49995322065578 0.795222506014017 1.39422568865076 1.99334586594277 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.143749015265486 0.24541697470399 0.0933790909165096 0.19688423967417 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0733822254448063 0.129873142034065 0.0222090092103773 0.0530254078013798 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0482810883048633 0.0913381768839365 0.00866580980611945 0.0243319743904548 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.39698883052959 4.00680776405544 70.985934900814 45.5236271143347 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.22371402254989 1.79492180792885 8.90112097692776 9.18036177882418 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.624346492736672 1.07230660806393 2.14681834886853 3.42279594953416 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.382164047572698 0.718239933681356 0.749319178137394 1.62557374535922 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.95823460208569 2.50502770519635 24.0720304988821 18.4471883842321 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.500946734116546 0.783989836212879 1.443117901434 1.944471380369 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.269864084912155 0.419801421431296 0.408976785945493 0.598818456060801 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.2043451368251 0.306679633037653 0.239026598163778 0.340442848849119 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.6926475410569 2.22255360176884 18.0151263583537 14.8080793369916 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.439609861303622 0.722659089190925 1.00712707906652 1.57581115677403 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.217408121324394 0.386656054401167 0.215572436744022 0.457590504905136 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.139016613810576 0.258438380679387 0.0816256505457671 0.198317972518015 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.89968615185802 6.51381261956435 209.147538586228 121.183352805499 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.16987972398353 2.79413515481964 27.8077081128609 21.6036358149465 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.11505366745632 1.66214174327928 7.04260710453119 7.71233082205725 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.677484855572667 1.12244478596369 2.47494685879213 3.63692669936556 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.56146155333599 4.12501631102089 83.739763645902 53.4339149052731 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.929929786606831 1.31562317503701 5.867196556588 5.56562914985143 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.488787915689859 0.707484481832379 1.64187537050376 1.65333008497665 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.360273007775541 0.505284040875425 0.88098208440845 0.872787977122041 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.02992222588231 3.67310437634461 60.3327668420074 41.8438841076998 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.771769455692095 1.17848824690784 3.39238743349969 4.03310937272028 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.371621637712071 0.652319096582091 0.686278843085691 1.27671524030205 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.234249682527393 0.440439173226339 0.246640739337105 0.58301354619156 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000233536087428364 0.000148430300975479 1.0310725266081E-07 9.30255330423134E-08 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000753766429035894 0.000523457303835298 1.00164322016965E-06 1.17938563570433E-06 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00156268895928706 0.00111162757864304 4.26352196661825E-06 5.32060970224973E-06 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00271814490235253 0.00215251055487888 1.22538825091257E-05 2.31985745865849E-05 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000347523114125879 0.000444656706579262 6.20665407727976E-07 1.16576472179776E-06 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0013155241288232 0.00204214178403639 1.16468435232207E-05 2.20503205344099E-05 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00279939830474832 0.00451423621422949 5.48614779738256E-05 0.000105364597662328 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00529614565134437 0.00879671873477247 0.000201479141394515 0.000411914678144631 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000702228626823505 0.00107893484697896 2.47687273249008E-06 5.56348029410365E-06 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0018270508181653 0.00185395190267196 1.53614738444863E-05 1.37747532301959E-05 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00389176620969983 0.00395782319026257 6.79895704953871E-05 6.08953782131791E-05 NURBSSource NURBSSource 22 223 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00668587697068153 0.00712773095139252 0.00019397478622606 0.000196118160238916 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0432747181989047 0.0384253422825426 0.005206581733554 0.00434569152262532 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0179183364299032 0.0159941877790988 0.000872007927385702 0.000772845456155039 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0101666622656962 0.00901147601144431 0.000269643385107605 0.000256808066554319 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00704069179210206 0.00622883201492311 0.000117372548651207 0.000138874488000899 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0256590650753469 0.0212683360933897 0.00177855494975847 0.00132976486876548 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00731112044502511 0.00642622643626482 0.000139574771220333 0.000138452625012454 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00462209186359596 0.00548608474051691 8.23292612833746E-05 0.000134886896770291 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00576498983589857 0.00903734339903906 0.000209963512088363 0.00042604875155891 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0232651260381985 0.0193420196226524 0.0014853240829033 0.00110611703546526 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00713232209887244 0.00619007902265245 0.000142735060249075 0.000122078947575973 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00531789267784167 0.00502262363124008 0.000101963380900285 8.97148033985971E-05 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00709295915896644 0.00744891369037695 0.000209027006488454 0.000208157293903633 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0867703813385709 0.0765572705034692 0.0213889901971168 0.0168155768272297 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0358259615446952 0.0319604348369111 0.00353166213079275 0.00304006017677504 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0201853907843443 0.0179055536833372 0.00109102814389683 0.000982605610548357 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0133922659774211 0.0118580419623987 0.000454001654330406 0.000460575358392257 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0513171215060338 0.0425340643238217 0.00719467285502829 0.00524844725970292 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.014262998355226 0.0123005548477959 0.000534848359805803 0.000475840155834733 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00760470640799481 0.0074554637062846 0.000168720249312406 0.000216102397498339 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00704068635733744 0.00965674813113914 0.000239631425030054 0.000462729517975625 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0465054618482265 0.0386296373222798 0.00597018327916643 0.00428748336664055 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0138036026134496 0.0119425630009181 0.000520850158221683 0.000436124986753818 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00807000331346482 0.00722028429546113 0.000199732147603763 0.000173740436330876 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00816832267750505 0.00815421127915253 0.000251128362178128 0.000242179964947803 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.174698232950643 0.151788987030763 0.0904102942745247 0.0628638034263003 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0717213859594715 0.0638138007350773 0.0143992697300341 0.0118765738605202 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0402902746214884 0.0357396723479553 0.0044283491736894 0.00382888478846756 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0264143661457571 0.0233471641775241 0.0018380132436596 0.00169908561088742 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.102638903650427 0.085027064854703 0.0293488767589391 0.0204943165598511 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0283228534487596 0.0243443533883174 0.00214077591386408 0.00180840837966599 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0140245084560453 0.0125361499568309 0.000524529742622739 0.000535295039942876 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0103828950003086 0.0116488004344753 0.000364642616912533 0.000605999245680301 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0930073677500967 0.0771922812541426 0.0242799844156902 0.0166147317599733 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0273726142256109 0.0236391955132421 0.00204038952084992 0.00166685233518625 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0144116659544307 0.0126102403094484 0.000585538435606054 0.000503779868053318 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0113130004799766 0.010400973558192 0.00041372628177702 0.000376779795351569 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.523107324120841 0.456220356904103 0.917636008207601 0.49656438045333 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.217019933579347 0.189231240957416 0.139740504550732 0.0976844122061352 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.121190375592908 0.106671856945197 0.0415495991360836 0.0326348126481642 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.078969380799953 0.0695638709410561 0.0171097787702644 0.0143268130032331 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307599042591353 0.254628358503502 0.28302744152705 0.167740288011231 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0849000787732106 0.0729258952442657 0.0197002456564556 0.0157210898373045 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0407504515820182 0.0353808092657708 0.00445471726535182 0.00385908931921254 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0257589130904632 0.0240222876119387 0.00178321303387731 0.0020527260017968 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.277787279230906 0.231731328912869 0.231637896955241 0.136491839880786 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0819927668092666 0.0706429180612455 0.0186428275194306 0.0143343792657805 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0414377755676754 0.0359681979295168 0.00474292690763548 0.00390722473034413 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.027269724053538 0.0237637289993697 0.00212688123851901 0.00179266695939518 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.863913376974848 0.777343517621321 2.69488789593166 1.3279682958516 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.362576501569086 0.314192788771021 0.407957138655007 0.256927554494581 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.202837076137945 0.176650786606536 0.119811629920444 0.0865084738885691 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.131882788703009 0.115428206992314 0.0487767577340977 0.0383373271785829 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.507328184886126 0.429549822081082 0.819893738752428 0.442495326465747 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.141793415565426 0.121645453633478 0.0559082142209917 0.0428083056261194 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.067813087636554 0.0587919468919574 0.0124905683187221 0.0104267983567309 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0420159502975568 0.0383666587946135 0.00473872716279303 0.00487716345095347 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.458215000471336 0.390337484743965 0.670003461759498 0.35765407051082 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13677253050666 0.117593646381583 0.0529605429466935 0.0386646364784294 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.068858272593973 0.0596222529178838 0.0132615802164871 0.0104907060769784 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0444863219516639 0.0384316398469536 0.00562975185924216 0.00455196060028882 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.14385449337771 0.126795049012899 0.0610872409491624 0.0460647333372636 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0590158682903329 0.0529798214291439 0.00983394957609235 0.00846887247743121 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0331264533452922 0.0296062678506976 0.00302074289041639 0.00271616455917608 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0217767096756021 0.0193136513404274 0.00125427879850997 0.00120726903133178 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0843996920739221 0.0707173723314827 0.019946122993543 0.0146312537756457 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0235120724553592 0.0198992432271949 0.00149637598287963 0.00121818812488048 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0117660170883312 0.0106105828234661 0.000381033969454133 0.000401112705973628 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00919500756585012 0.0108326039611385 0.000319860363866419 0.00053693933517126 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0763443902238166 0.0645738785245244 0.0163543467403014 0.0119750639565203 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0226759699552726 0.0193977591560161 0.00142425110134373 0.00115401105205678 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0121175934146971 0.0106984980467386 0.00041419605070332 0.000379282845811205 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00997500798315942 0.00965279476156179 0.000316855608308542 0.00033195848816566 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.288284238425266 0.252688181633174 0.262329938939953 0.170810487470019 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.118306442971287 0.105652821164111 0.0406290051392492 0.0326618736740805 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0662487025991356 0.0591257393610754 0.0123436835394621 0.010578815497979 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0432794362096492 0.0384546336813602 0.00511602670705718 0.00461576698587416 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168469191665859 0.141458130807049 0.0821335759976624 0.0564370488751592 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0468809803090457 0.0396796555609378 0.00603161763505574 0.0047375620488389 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0226256308984196 0.0196703550817856 0.00138136265262163 0.00126893055618823 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0152698141280597 0.0151016437558884 0.00068645951433659 0.00090946945556847 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152267927253465 0.129333451760232 0.0669480431124348 0.0463058258191399 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0451723779851772 0.0386836142922853 0.00570293077461146 0.00448634659393048 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0229970473722566 0.020130156031312 0.0014683933883828 0.00130488060396072 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0159683698803265 0.0145592229206871 0.000722041163662191 0.000723046961889627 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.570448563678002 0.512090789221894 1.1368899285982 0.63608943537743 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.237626672169838 0.210003319430252 0.172338468326763 0.12300288920084 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.132787872442072 0.11786188730183 0.0510650326837452 0.0406769836469055 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0865055302018477 0.0767050910859594 0.0210118801497724 0.0177823689222865 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.334835644882728 0.284131117340415 0.345349024821872 0.211222937560468 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.093766029210189 0.0792988086387862 0.0245779396550897 0.018479833320403 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0447199870198217 0.0386596338101389 0.00546166779914405 0.00469048592476552 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0282934825746916 0.0260464122348567 0.0021965050412488 0.00238362806986235 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.3022368642945 0.260135469271201 0.279732725953488 0.17403454912872 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0902867173572494 0.0773096477915704 0.0232004756889963 0.0174157097575453 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0453416719800948 0.0396723455384565 0.00576088886795511 0.00492911463526243 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293523008339323 0.0261604816873316 0.00238528299340505 0.00225423726062402 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.69140610740059 1.62424222483325 11.522918006459 5.42974182834277 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.704613382329514 0.635790862844743 1.72823831220602 1.00443726539946 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.398991046905916 0.350804603708 0.503612795389136 0.331376978019843 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.260445860759199 0.227611750782847 0.203239801197823 0.145776050924944 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.975081510227448 0.895469987454975 3.47488893725648 1.75263569226102 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.283348440239499 0.239795776047035 0.237622272609911 0.157811993796019 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.134918717866796 0.115947679155023 0.0517674224736084 0.0400006681889159 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0831564944362756 0.074565071970893 0.0195162403396402 0.0176691718273224 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.88353001108301 0.814647315347589 2.816077989834 1.423630904986 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.271434773341346 0.232190446806128 0.225209652871828 0.144648614016723 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.136146616186271 0.118276846027499 0.054552389878006 0.0411531706108215 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0862411497079326 0.0757641737155762 0.0214577162803564 0.0178054204955406 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.82543509756506 2.76734641378979 33.2822126247436 14.881461013777 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.15755796594328 1.07773108182789 4.96337695368633 2.68392135018451 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.656669891635387 0.587457685297211 1.44365224776573 0.875053634202057 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.431717271540478 0.377928492082465 0.583195193336999 0.38205556020817 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.63008728272137 1.55578798046971 10.4193588227713 4.92158481830763 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.475915493169655 0.409700931997268 0.70945758875721 0.438330024777687 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.228777320952357 0.195723604839491 0.155075589349273 0.109512184534789 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.14094139273941 0.125142555067726 0.0583161545429761 0.0477147059338836 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.47767861479526 1.40368258663172 8.41479978465416 3.91637180579391 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.451004111094097 0.390689158682513 0.664610980884439 0.383331291841073 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.228619311156762 0.196996730765836 0.162313549072448 0.108322978305375 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.145352888609716 0.125900229530233 0.0639565497866901 0.0470068566582205 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000348661988371221 0.000404924401794127 3.89207494139074E-07 4.72217791035238E-07 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00118102477362363 0.00125092167443253 4.68115481160541E-06 4.60810703149173E-06 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00248184051711943 0.00258062466972622 2.08073511017948E-05 1.9432675722571E-05 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00471488355764185 0.00433298266629101 7.50026335559188E-05 6.31292827240754E-05 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00105691148155795 0.000857797166967206 2.85911985031603E-06 5.04853102641126E-06 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00450028397152517 0.00361544596365831 5.28045658576041E-05 9.9360132908166E-05 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0098006582233606 0.00785311836886936 0.000252331468386547 0.000475597654390289 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0179300810686361 0.0153080939162259 0.000908150586238263 0.00184957062364652 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00115774940578804 0.00130580589179237 6.56937689679841E-06 4.70220831056444E-06 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00169587437274833 0.00392994170953867 1.02967085021318E-05 5.32619580455631E-05 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00376976662674662 0.00848543890667949 4.96930420366533E-05 0.000257240288258463 NURBSSource NURBSSource 22 224 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00625827779195801 0.0147080452944276 0.000129638407990794 0.000782363121061656 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0519099339571392 0.0417688390827407 0.00754188423738866 0.00478515239092772 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0215245456047055 0.017405769634782 0.00128046614558956 0.000818061648101497 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0122900165169611 0.0101562113068403 0.000425669442467646 0.000257847476912928 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00920373247662923 0.00809885179600579 0.000240037780629307 0.000168270012637369 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0300322456546564 0.0235123266680091 0.00248399412772902 0.00156008681312512 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00963960864192522 0.00793539453602412 0.000247022790876925 0.00025311526685898 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0105952384427536 0.00891263139495303 0.000296453095434632 0.000522158533994519 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0180812125677511 0.0156393066937635 0.000920615785739979 0.00187408788941918 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0266472919886073 0.0216484605524175 0.0019713899472859 0.00129317851822184 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00839117070208995 0.00779936624691288 0.00019768134820224 0.000150686401352155 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00578505040709462 0.00953225905386832 0.000101689987496604 0.000281592766186867 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00687070981524264 0.0150058777806344 0.000150038206874072 0.000795812541374586 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.103722593022357 0.0836429472844824 0.030580387689892 0.0187710736738357 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0429994358628052 0.0347353720286781 0.0051167272475561 0.00328837673804126 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0242377182476908 0.0196465810212273 0.0016306100212651 0.00101180387446575 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0163863699170679 0.0136633983861786 0.000740012733875711 0.000484045099745198 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0600056220105247 0.0470715635596179 0.0100081102879998 0.00610072386051458 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0176575613605904 0.0140816563275862 0.000834717504801132 0.000663678192791584 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0127802446212059 0.010902087774784 0.000433760675708453 0.000639426963716944 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0186102552819299 0.0164086341392037 0.000969539718097988 0.00194085203794038 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0532518771718754 0.0432454733095665 0.00787895756037479 0.00513811676659922 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0164448422791355 0.0134889316283058 0.00074926966589486 0.000461523848321268 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00930502564786373 0.0115416482216312 0.000249486874685531 0.000353789344583224 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00838851424441442 0.0158135022959765 0.000211541514210233 0.000829314123597935 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.206550857192278 0.168070451998275 0.125063362164187 0.072641546420707 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0859290613768459 0.0694958077933352 0.0205899725464555 0.0130597615498927 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0483007557298676 0.0390095988931121 0.00645616540285467 0.00407360993569636 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0317078866877362 0.0258913411108912 0.00275552809827232 0.00177894571227699 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.11979631759135 0.0943541367196328 0.0406352423060769 0.0237283570935053 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0344599617230958 0.0271641011842323 0.00319905590022283 0.00223522930544688 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0191541879144338 0.0158573199743278 0.000985537738528716 0.00105189268101458 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0207140280415411 0.0185991810442361 0.00117990014317951 0.00216884559467243 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10628245924407 0.08662107826843 0.0317922869460666 0.0202085213721637 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0327083154188127 0.0259432990647541 0.00295418341125743 0.00176409826743064 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0171050322967885 0.016229962626784 0.000826376362041139 0.000647072096910712 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0125898862686764 0.0180991532153575 0.000452233293005994 0.000956409096063817 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.601304709579172 0.521464314305823 1.17475480106774 0.618610990278149 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.256144074280112 0.209955107994539 0.190187443482648 0.113483181648906 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.144490827944974 0.117033784668058 0.0586337145155946 0.0362848500856311 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0943085860094379 0.0763476199992435 0.0245750100926354 0.0156224690750018 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.353552500184678 0.288735432544843 0.379221870583625 0.203242420324198 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102578568246932 0.0807094111570151 0.0288211843444341 0.0182454532983801 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0506518138987516 0.0398225386411272 0.00697198879402607 0.00502130490478138 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0362195457633482 0.0307375691882409 0.00353576540980479 0.00411624942496164 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.313391807368602 0.264657678504235 0.293864871924966 0.174344431800921 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0977491875109922 0.077157551299347 0.026726900503786 0.0158627503732498 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0497012981229161 0.0395403639952452 0.0069512476453825 0.00399553402401425 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0324611824592311 0.0300985396689046 0.00297280122454301 0.00229329144953713 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.983224206169487 0.894019017195761 3.34962922443951 1.69215614737049 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.422339891120976 0.354073737906894 0.535834270358694 0.30919737355754 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.239793285029551 0.195827691063353 0.16452873349283 0.0993680575775215 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.156887645290416 0.127194004425876 0.06882593030357 0.0428689363055466 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.579396886882262 0.491250157389049 1.0785064737615 0.555317829734757 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.170824830631227 0.134906051602986 0.0812028186492055 0.0493631693148502 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0836178109893301 0.0651138419628568 0.0191902801451202 0.0125759168450238 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0555852000821553 0.0452118506845446 0.00843282216001037 0.00761559376303942 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.513107887605063 0.45066571059525 0.832429316748398 0.474604835877101 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.162285530982611 0.128998307427962 0.07497100703027 0.0437301585484769 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0825662514431463 0.0647681942037164 0.0193537626472855 0.0108765694634413 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0532381061379876 0.0445388385913186 0.00806773046317936 0.00503483825977849 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.165038219252084 0.136029605924617 0.0802095199910357 0.0498788805326918 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0680990781667962 0.0560791341119478 0.0131813504742628 0.00882152242806675 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0382575287315507 0.0315353163228286 0.00414979502573122 0.00274065169718086 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0254909619439525 0.0210909348066086 0.00181707978406917 0.00120388914264379 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0958661160685163 0.0780683992325974 0.0264026689016087 0.0168617690201957 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0275009485765544 0.0218092823934122 0.00211416443196089 0.00153573966640744 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0163754999428181 0.0139019969408441 0.000729570848362479 0.000882765532352641 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0197493953638051 0.0176321628688087 0.00108629124744652 0.0020497183561536 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0859301849437242 0.0712761267648769 0.0211011684919763 0.0141086448793839 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0259403019958838 0.0212291036291628 0.00191958777548002 0.00120193361023792 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.013988969807469 0.0145894459221182 0.000564751747718031 0.000519755508161641 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0108720755877545 0.0173018246381961 0.000344511906001184 0.000904373429057656 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327545428419779 0.274234658831508 0.331447555044607 0.18965091401896 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.136118590930856 0.111979955478196 0.0535140564293632 0.0346320079813929 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0764026935312755 0.0627182169385204 0.0166146140396154 0.0109400713409455 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0501626703550724 0.0410731450758078 0.00706210905813853 0.00467734967738727 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.190979292334009 0.156843670844153 0.107960858362721 0.0650118695964174 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0544152139248928 0.0428865070448801 0.00835408143082695 0.00557659855251678 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0280210126396051 0.0226457208728696 0.00217616771699331 0.00191191351847914 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0245488809828376 0.0217518928326977 0.00165964504327864 0.00255714940852939 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.171042881259716 0.143263341462227 0.0856070136070771 0.0551175061737489 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0517551936288973 0.0416055393706536 0.00766305995057042 0.00476090791984828 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0268684491595204 0.0233321997095774 0.0020736408995821 0.00134022295615357 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0183407109023522 0.0218046957277223 0.000961684881973562 0.00124922185183682 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.640438287577071 0.561459546820397 1.37195233980985 0.722142676384142 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.270924522025651 0.224498103203713 0.218648223187782 0.133415946088474 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152597345568377 0.125023205912439 0.0672126490700354 0.0429140632785995 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0997726959352943 0.0814524666364068 0.0282361393787558 0.0184119882824633 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.37640247381125 0.319089214021756 0.443048545033869 0.250702130710648 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108460926123655 0.0853901185746757 0.0336216067096911 0.0211214905929274 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0534067763886488 0.042215381014175 0.00800729386914546 0.0057537270778074 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0381876915658169 0.0316775396223573 0.00402126459405498 0.00430481095748578 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.336530892135926 0.291578440399233 0.348231689731984 0.213819705989233 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10332978721514 0.0827992683887156 0.0309343139724311 0.0188593589194306 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.053093399005503 0.0429484297106448 0.00812281146704069 0.00475526362690742 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0345606156992858 0.0322967705359772 0.00341408692060395 0.00263061841158259 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.87122231607357 1.78442108358184 13.3114885255089 6.24327335715017 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.786749166301984 0.6952209716258 2.03884529158693 1.14068675509122 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.450469494795325 0.379716883136111 0.620452039824273 0.368189589485554 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.296828468816707 0.244342307577333 0.259476776897469 0.158869173848735 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.09139752147174 1.01429657032669 4.2540202021503 2.19534040301841 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.32354748450831 0.261434602900446 0.314102642972155 0.183779235210887 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.158759968063632 0.125167564965861 0.0730974815287271 0.0445583203972465 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103916334920862 0.0809387041813322 0.031238562694816 0.0211344315485855 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.97038170124864 0.923199600844408 3.33293369628066 1.83242164607255 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.306520967857935 0.251741395569825 0.288923024689284 0.164425554156357 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.158317522838306 0.12591194247234 0.0750072530142472 0.0414694320637998 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.101717166086972 0.0826953735544614 0.0306375479178108 0.0177661931162673 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.11771229674404 3.03137678214 38.2541644549192 17.0209733106717 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.28307907809016 1.18134828335245 5.72624567912011 3.0909079387989 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.735129778273763 0.64075623675401 1.72800222071954 0.994912753830198 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.486663901016927 0.409813270233772 0.720146524415939 0.428003450491959 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.81949796315825 1.75663912422438 12.5301170084318 6.1583299570347 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.537706499916124 0.451850817799043 0.913101673254658 0.52265962593885 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.267078258923148 0.212346959105277 0.21383301162989 0.1225281033084 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.173938000962764 0.13441605776405 0.0909862344323725 0.0536612872611941 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.61740012697841 1.57205523219107 9.84443129863838 4.93091006938857 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.503303531057148 0.428471438700208 0.824767834389877 0.449539737012034 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.26296439569247 0.211736864549721 0.216504508880562 0.114002870693859 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.170021690686573 0.136501996022366 0.0892330590554784 0.0482336328589457 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000356496908674637 0.000290426959134429 3.0050934845047E-07 1.57418772524894E-07 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00130064020499092 0.000929073951326782 6.15591578123987E-06 1.60537899685103E-06 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00286097128294743 0.00194747735118463 3.08228390573461E-05 7.05693399104626E-06 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00508526611299798 0.00344037621242865 9.68895651466149E-05 2.5781111306379E-05 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00286269740250629 0.000555515290834526 3.03445127594613E-05 2.14995013286301E-06 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0116067897474227 0.00230452731620336 0.000495981062108579 3.28160617694258E-05 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0251863363709149 0.00485970158502911 0.00233685682478513 0.000139854926191213 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0464489337497022 0.0105106425986216 0.00817053612691061 0.00070142735164705 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00272438309103771 0.00293626036841488 2.59565803618417E-05 4.29927562557391E-05 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00505392442294047 0.00320126451633173 8.62875240449077E-05 3.62052519113731E-05 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0104166286725543 0.00619599460517333 0.00037201006544523 0.000110365541208768 NURBSSource NURBSSource 22 225 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0177582902362225 0.0103954328207291 0.00111985139602741 0.00032201897072893 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.146929313198446 0.0448440331766768 0.0599242662454984 0.00650427131716341 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0605260153967684 0.0190577796917187 0.0101307938049149 0.00119511533933293 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0346751911711041 0.0111732979267546 0.00339424119488229 0.000400220190693588 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0234759846152509 0.00827360040778687 0.00160418621874702 0.000191606397592166 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.100716343433655 0.0297479528004354 0.0294308852431317 0.00331662242955515 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0303484873559814 0.00854320658658976 0.00282900043229532 0.000315012445022287 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0290476448258364 0.00628172661344308 0.00292920547785565 0.000205069930852338 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0474073728961679 0.0107693731761142 0.00840658541969855 0.000718571900790937 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0918812981667291 0.0244498966246308 0.0240557125138211 0.00250993045736495 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0270285761806017 0.00857664431105389 0.0020816660283008 0.000286727221849095 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0165630748440105 0.00776891683718979 0.000865476551280532 0.000179198917518849 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.019465727589156 0.0109682941123099 0.00131710950200784 0.000354416989165898 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.28842079338627 0.0949264157435326 0.236757261672782 0.0264733935511783 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.12065157114267 0.0384507727161743 0.0405249911315638 0.00468904919817628 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0691273422730618 0.0219056078248698 0.0133741023172506 0.00155349105430057 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0457947570076013 0.0149307957791979 0.0059664485020902 0.000692160510705375 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.198906682130041 0.0619581843176674 0.116299867912472 0.013192150433792 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0569604861089626 0.0164074395197281 0.00960837560495741 0.00109466992779658 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0371204687126629 0.00930562210806763 0.00454982659816942 0.00039719118688429 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0499009115636311 0.0116450968401538 0.00906543757414453 0.000784682604265077 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.182043488821857 0.0502962814103629 0.0955173097379405 0.0096286886701124 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0532296188362473 0.0158543377985117 0.00801807106916956 0.00099412961975366 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0278047619709332 0.0108973971100008 0.00232045553751429 0.000381726763036386 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0238830069238623 0.0123254940353718 0.00190126470797318 0.000444004468493579 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.540448302592059 0.225570443830235 0.889040920605449 0.131576160206767 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.237867536571297 0.0801616198902761 0.160262341770761 0.0191246292295678 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.13744901098513 0.0442197513537392 0.0530082356129779 0.00614767887261501 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0908565541238893 0.0289995339944705 0.0232502128759741 0.00266133645738563 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.379734537790261 0.141693756734237 0.440937079951735 0.0608771649012689 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.111569976983841 0.0329028612722061 0.0363007094032465 0.00413075336812792 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0589412923146187 0.0162757014977929 0.010825405080811 0.0011125305448543 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0576490574567312 0.0145924098525271 0.0114960027501797 0.00105686386601436 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.351012744184872 0.113326528893672 0.365983208319147 0.0428110446625565 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.105595054858019 0.0312971924509288 0.0316466243411894 0.0037223017711891 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0524262148200732 0.0183236068836779 0.00803290714396697 0.00116885244465085 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0364066140287225 0.0163632544771664 0.00417452536995911 0.000795212366184246 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.36604429621105 0.934783322042855 7.28975033908403 1.80582922596324 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.650848327491743 0.303719695417843 1.33442659119833 0.237428924556662 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.394761487234004 0.150130101782951 0.457271646916511 0.0634641495094202 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.266409734379191 0.0919064039132289 0.203182754849102 0.0248470228757279 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.977873208031402 0.586045071200227 3.57830888669862 0.890724912906697 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.321970012939156 0.110506679212875 0.308377239342477 0.0399228082758013 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.15952822752085 0.0475819957929091 0.0753645468269085 0.00835159924480149 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107474032612267 0.0307205344202012 0.0358522518184761 0.00377251186536857 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.906068211285389 0.488202529925087 2.93628188524767 0.652726704596528 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.306930327008044 0.102557657609133 0.277347667879427 0.0347171654188111 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.153496731108722 0.0516255008981934 0.0686552588351317 0.00916884866258099 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0967598364374281 0.0368379067751075 0.0279621793448453 0.00440462221478941 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.14152312644396 1.71445212368843 20.0338206652385 5.59006949445968 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.00523862321379 0.586584443376866 3.54199011420093 0.803005002097059 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.622125276535434 0.285870275131004 1.21061440531318 0.214642387197946 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.428657641022191 0.168236703728987 0.544126248588843 0.0789397136130777 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.51923476714081 1.08777969959305 9.730180986435 2.85094573738184 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.510072615202181 0.212824955207631 0.814728109935704 0.134574527506186 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.260129593384404 0.083622968423851 0.200464842993663 0.0234926952424104 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.16603681476762 0.0495874279196701 0.0830159316277179 0.0090821632157311 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.39837046141211 0.929012969268147 7.93983476453434 2.15805598890067 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.487535957240182 0.195179771942546 0.737810835416868 0.114366197973366 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.251840420870351 0.0891715274305716 0.188118443928653 0.0256689149959067 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.158667860512418 0.0595685108293197 0.0753971263854234 0.0114552682089512 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.43598193065595 0.165018706437408 0.573100266060842 0.0790266021205918 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.189300134189886 0.06129144603301 0.102930056127425 0.0117501031563162 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109364948026486 0.0342043407206734 0.0342614700695285 0.00379406954854154 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0722269380045984 0.0228282780400661 0.0150383521264015 0.00166370348767318 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307115220412775 0.109173978166577 0.285714976166572 0.0400609427178242 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.088969262281092 0.0264743314558006 0.0236347464419621 0.00273092908141069 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.049736710093311 0.0135302447839112 0.00789476044848151 0.000791912846704851 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0539193768228627 0.0134106726490956 0.0102972441439682 0.000962421759330914 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.283597707739583 0.0891363102586318 0.238383223972842 0.0291850287549275 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0834600965507815 0.0254766535384993 0.0201532221678238 0.00246788018375924 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0429076905782353 0.0153910727119438 0.00547807960580491 0.000801132437180928 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0310334558392998 0.0145528976850282 0.0030623217277027 0.000629317186418553 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.792095794037139 0.410117039727314 2.13244603727127 0.430801013543548 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.365329927820575 0.135942510553095 0.395754043417117 0.0552130165615672 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.21545473481635 0.0714591395517454 0.134467843445906 0.0160537985473277 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.143273478296519 0.045717626014154 0.0592164547576629 0.00668494279071065 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.568912699885571 0.263906102861229 1.06758027046958 0.211137577996955 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.174829283737444 0.0547111868963918 0.0912476478241349 0.0110072984253864 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0884830908728935 0.0253627030834126 0.0239940845710947 0.00259705267231207 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0701504816301806 0.019241482618001 0.0163552806424189 0.00169169709024987 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.529393170498698 0.215784190448757 0.891383235405373 0.151978259642138 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.165126979561725 0.051972521821353 0.0798080562173336 0.00982218635945896 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0836179394401834 0.0282325825597418 0.0206054828775022 0.00280617031068001 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.053649953067379 0.0221229182432554 0.00879317058839553 0.00151600361112132 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.42118740165942 0.986577001505094 8.13447271456452 2.16255925016304 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.676811828025358 0.324527707069666 1.48224418557666 0.288442874642839 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.41211653440455 0.160721030655602 0.510731399025236 0.0775909865126421 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.279106444978985 0.0975975886158179 0.228056592532847 0.0295858804251983 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02760742294401 0.636790483589398 4.04356064816289 1.09501090977651 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.336039198639786 0.122649893428489 0.344864028537142 0.050701301788387 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.169661067587998 0.0514628109588768 0.0864790979446541 0.00991489964906761 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.113046585593775 0.0328647934444386 0.0397432573193609 0.00440844239964356 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.95405886771156 0.534510393188737 3.34867852796952 0.808988682300272 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.319483191609889 0.1138824287273 0.307238488109097 0.0435901269393553 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.164425302716284 0.0562082079791186 0.0804011357764191 0.0109762916967178 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.10237417936754 0.0391261028015171 0.0315776296619115 0.00498927312360501 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.88135949018768 3.4903293169955 73.2592331020202 23.2598538746053 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.73284317268113 1.27458054661618 12.363313009496 3.63289224493543 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.06966269704562 0.645236402375822 4.13375171251642 1.06202782238158 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.746289490720176 0.38015625653215 1.83791920984211 0.399494178523123 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.71339583667739 2.31646066855353 35.5337325038738 12.3950382830903 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.888304121817642 0.514481296248234 2.85960707163422 0.747579761519501 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.473013331107648 0.198482922608587 0.704955156902979 0.12747270143523 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.303265856609866 0.105363824362556 0.277467881220495 0.0392537167817583 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.50896866008961 2.00898879371273 29.8136235346042 9.53890664163499 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.840932803027392 0.464772097526543 2.53258913779054 0.596016761099993 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.460978222331847 0.201465294095312 0.685353492213028 0.123938135992577 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.293668445041735 0.122021727065588 0.270945149526882 0.0469862409640881 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.40697835020469 6.07377849078061 207.66230159501 67.6309233831675 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.73096077510721 2.28301087371062 33.6772426858278 10.7746381643475 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.64811751447416 1.19354251762217 10.9701290432943 3.29822216939035 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14514070481565 0.718140383694631 4.79817545049638 1.29742305957284 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.39920229060616 4.09065599781785 100.621144598587 36.898097462552 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.40869782258494 1.00577023517886 8.18597840675007 2.63518588024256 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.750556047517608 0.407910724240025 1.96687939145804 0.499343666446196 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.487935853589204 0.212791353891542 0.753936524729128 0.150975527937863 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.1273908949325 3.60171155202067 88.0862794826402 29.3052082487855 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.31064901909712 0.881433556957341 6.99208853767281 1.96021188245208 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.724951257722972 0.389107373707791 1.88222945096704 0.420472720242472 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.473509612533195 0.227113918766014 0.758194178865586 0.153082152316383 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000633508413411417 0.000465370441694821 4.32926072702743E-07 9.25955878744348E-07 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00170071720795426 0.00132867830091982 4.13262955202715E-06 7.80979803357497E-06 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00346707345938122 0.00271218402437737 1.82642201456989E-05 3.28038544148761E-05 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00586709032726432 0.00463817277243868 4.84798332747475E-05 9.06896565396845E-05 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00176992525320753 0.00134423925682458 5.90838575234639E-06 7.42747825564669E-06 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00641005961319687 0.00501813159547476 9.76860194474474E-05 0.000104491414012781 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0136875551063049 0.0107280539377131 0.000462799502815963 0.000477616319549629 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0229973792122705 0.0186392619379789 0.0012829682212522 0.00139415532457512 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00144480038230643 0.00100577298336852 5.36617974101729E-06 3.01201195083594E-06 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00269816783260477 0.00216876613836723 9.67435389225201E-06 1.7869683900719E-05 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0058197877183739 0.00496784963955357 3.87730190650254E-05 8.97052566561305E-05 NURBSSource NURBSSource 22 226 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0103390980059964 0.00875372704944919 0.000109617533109679 0.000276737170780152 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.136856818967378 0.059569439230752 0.0506711627491049 0.0101178181511072 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0556734544129326 0.0257112995606331 0.00809991642527821 0.00198256573500191 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0316874815110461 0.0144675109112125 0.00252831707940103 0.000680326677313821 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0213544464488098 0.010138907990088 0.00105376362266793 0.000370883685893681 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0846469419971987 0.0297680072526368 0.0193568277990445 0.00270249190554694 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0245010727262193 0.00939016449546418 0.00152764568792304 0.000337261279462861 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0177452679778315 0.011225756347315 0.00076847268351203 0.000530632644760043 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.023864211319074 0.0187964190878087 0.00138237393682793 0.00141899204597042 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0748780725650807 0.0300409646447011 0.0151338605393184 0.00268150311962668 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0221164862141832 0.00887835103439644 0.00122065386808979 0.000246228316836421 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0123268370430624 0.00620819089552343 0.000295583854571158 0.000143653168773912 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0122404839052057 0.00900506157098608 0.000201326874267872 0.000297620650561149 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.272160583398793 0.120647306799494 0.205404253794701 0.0401008088281768 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.111208312703769 0.0514882811272308 0.0328634918207023 0.00771231494753143 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0631092414034617 0.0286382346839034 0.0103157224618206 0.00251225803073839 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0416078435985215 0.01883530561854 0.00427900690221276 0.00116109918253503 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.169047555500535 0.0597131987907689 0.0781892602679735 0.0104691885015665 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0477143478556141 0.0171846783275217 0.00595509139680784 0.00100117575504286 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0264967788939391 0.012691022952683 0.00172585707099825 0.000684921143083845 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0266446996083559 0.0190993056059326 0.0017108423419395 0.00147579917643691 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.14948833667553 0.060255361599569 0.0610777849973282 0.0105810298615324 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0439137712361023 0.0174216704605601 0.00501429018971053 0.000912592225798861 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0225742011241432 0.00954160791433113 0.00116184151106938 0.000314091236999933 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0172098059178707 0.00979567136270976 0.000513633739335138 0.000359861615641288 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.533559432477771 0.252028593256979 0.828832405766263 0.168740222136938 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.221670431990468 0.103742502392042 0.133619972037178 0.0302419963854151 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126032754273523 0.0572323089852897 0.0420218646885192 0.00962021269529576 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0826630248141257 0.0369665538690468 0.0175518081449386 0.00418639820715245 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.335709185172658 0.121795737440465 0.314524891724921 0.0417315602794178 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0948160858205129 0.0335468982148831 0.0239383946937923 0.0035081877545405 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0472018640281279 0.0184346395912295 0.00565635644943745 0.0013303238028648 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0357297117436397 0.0202236642112769 0.0030699193624176 0.0016921067280719 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.297173935745717 0.122261870283574 0.246654886432699 0.0420885733398924 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0876058803430355 0.0346754478560445 0.0204592481940122 0.00352025724292643 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0440795811671475 0.0174599609129422 0.00483500158413459 0.000974183061467759 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0297353945711576 0.0131269136405467 0.00190674319251606 0.000624354568068874 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44600061018132 0.912226323430199 7.31902529494848 1.98597155547838 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.644998383206705 0.331114367972614 1.22753362349132 0.289304544355817 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.374010952480886 0.175410971507903 0.388428076284915 0.0847386021554637 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.246456132745033 0.111243212346728 0.163326278143295 0.0351952497247197 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.945289646419295 0.428092489545626 2.71664520148297 0.484608521265134 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.282966001960106 0.101314204194228 0.218770700480244 0.0292414302644498 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.13612285923164 0.048404932485964 0.0490186553189733 0.00764138237245678 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0844855520683504 0.0336221859257271 0.018140981725258 0.00424321482779132 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.844109237624392 0.413348798316171 2.18316984478582 0.449325232277314 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.261284582695164 0.104926909387392 0.188633540021274 0.0305439657807552 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.131072184713177 0.0510609472194942 0.0458673798054695 0.00771876225910786 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0842938585776463 0.0323812133439895 0.0183263995584208 0.0033509879738719 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.27290211980238 1.67443616903044 20.2499931077461 6.22868984196107 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03284589790259 0.593052082082273 3.39765319562768 0.890876448850538 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.611774067050351 0.303367454709661 1.08456771985846 0.245667918280176 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.407152377004607 0.188498531635682 0.458814027626622 0.0978688403099209 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47399518465393 0.818199161780915 7.25520542065456 1.67301740648441 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.467729144833563 0.174102584975258 0.609624456048279 0.083368632674142 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.226461941850825 0.0802040533013604 0.137796019610049 0.0196817036326882 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.137542602846519 0.0515494885731923 0.0493417747188944 0.00911404783124243 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.32415024533968 0.769896630754152 5.90636885934889 1.4802233094681 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.431215165942172 0.178820371209481 0.52712164649065 0.0855272469441347 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.217923550435294 0.0853895440491148 0.129902293322857 0.020817698255919 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.139801218032333 0.0530577311709304 0.0526075171905183 0.00857384533324822 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.44073524530847 0.201392637208468 0.578745870457424 0.112255286797701 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.181123858944731 0.0828591054130976 0.0921461506943541 0.0202178693885692 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102467054265518 0.045725505896424 0.0287210627863337 0.00643591025254566 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0670683158129585 0.029718373894423 0.0119139268128432 0.00283940635508109 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.279928431351644 0.097694422531498 0.225471563872202 0.0272801950890759 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.077612618476047 0.0267877725818868 0.0165463180218859 0.00234844018365576 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0395041674001102 0.0158553450206759 0.0039977954095532 0.00101027312367243 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0321047989639458 0.0196671092295842 0.00249345850382452 0.00157818236530497 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.247799290780867 0.0986732196414022 0.175696417258162 0.0278503648720793 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0724726602753027 0.0276960178930344 0.0142756809415414 0.00232726934923376 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0367164247035665 0.0142163233902722 0.00339672038015894 0.000671201211368619 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0254612583466451 0.0116080579404317 0.00135920563254475 0.000495867747162599 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.840312239712043 0.443916942927502 2.29263408017188 0.523968618667343 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.358356134182351 0.169455860940944 0.374362381683326 0.0818691430455843 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204106210098165 0.092026325234501 0.116919942775406 0.0250794643188284 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.133513454805163 0.0590181964494086 0.0487310238630382 0.0106581378831962 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.547607851887579 0.207711220051476 0.890733837685696 0.12086878811996 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.154457248265666 0.0533517719911057 0.0667153924842769 0.00873129012055016 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0745275712527577 0.0268065816266253 0.0148486559198661 0.00258963250198655 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.049995651625242 0.0232766846932305 0.00625338230727829 0.00218201063174938 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.486676023872204 0.206179962727213 0.703401933391905 0.118425455748184 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.144677476437228 0.0554565998855447 0.0581102446350403 0.00903828131168062 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0726027389852942 0.0273411267709811 0.0140815181358934 0.00233919872990814 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.047657577112636 0.018427692004611 0.00554936734823417 0.0011648236437693 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55421910458455 1.01973984591038 9.03406147118174 2.56051459170933 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.693501186025578 0.361724645663498 1.50230478649932 0.360607469160443 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.402792909391178 0.189023874622568 0.473647226010182 0.10221010874115 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.265280952983276 0.118991760416615 0.19856520839846 0.0416100308366686 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02841164045731 0.483247281312171 3.39693290150161 0.63697916386201 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.306926633675584 0.10881040625082 0.268666381088857 0.0345674191537917 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.146540320194997 0.0513717707780859 0.0590756198069047 0.00857601501238513 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0906214674304066 0.0353149057170978 0.0216482005082484 0.00460974253590971 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.922243222555931 0.463254619131436 2.74350354414706 0.575253278390772 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.287581841363212 0.112669973337727 0.235534877297755 0.0358892554482965 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.144596247030326 0.0543158717177849 0.0579412124919083 0.00880633783983041 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.093511503602871 0.0342214518060251 0.023232462913004 0.00373482250578987 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.22601276283321 3.63530189003345 82.5140028167661 28.0341327908379 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.86618636403664 1.30310690774278 13.2999980936814 4.1853174660828 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.11962575413119 0.650646265593775 4.18704590522694 1.13162788282818 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.759446357529152 0.388804688468529 1.78005558228521 0.419175644031741 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.65348500372893 1.93220680477069 28.8437970690412 8.76057489678078 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.881648043969115 0.385145679006977 2.39487382622107 0.417699846173377 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.437307830509549 0.161453811871263 0.551209651635367 0.0762149784388128 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.264762385893665 0.0973406984157553 0.197304334862597 0.0295176883678161 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.41644183270141 1.7616152814743 23.9790805288283 7.2911365671369 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.818932332583495 0.383052700604801 2.08748255279716 0.394120484973609 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.428108616355967 0.169301332231256 0.539239319473905 0.079207893092003 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.278283636916783 0.102273743805369 0.223566011820753 0.0298517340041512 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.91702953975619 6.33930126262497 233.027472660528 81.1588384564869 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.94604668450282 2.33498857435883 36.4414352940338 12.4020208499843 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.75610346182102 1.17892312131396 11.2983724929032 3.46861956288098 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.20142503278825 0.699772902414374 4.78459224526695 1.29047145347705 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.24600426932685 3.58144179479417 82.5238392688632 28.542640111044 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.41042288761715 0.763361248076175 6.79213172347537 1.62075090332289 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.729920558764774 0.300437682405257 1.61203497700611 0.266678228611796 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.449082796810638 0.170330592417913 0.590881244788898 0.0868953107684648 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.86873694051636 3.20771902804962 68.4448446064679 22.8433897896871 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.29249761897093 0.721603271452549 5.70908848371837 1.33066664935694 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.699257276718246 0.302272738359243 1.51592247474651 0.243990023361657 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.463429235202245 0.177552575600759 0.6503780161679 0.0857824491133463 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000193266042898597 0.000894445643840365 4.59970697524619E-08 4.47342195533704E-06 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000519439413102481 0.00253214273560871 4.52239278562811E-07 3.66551559641994E-05 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00103876038354757 0.00514687121917321 1.90930695985201E-06 0.000150756454589891 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00183405736063638 0.00891037293531321 7.23683652315299E-06 0.0004323124390616 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000357140030481731 0.00292283395854028 4.52223184574062E-07 5.33023992756575E-05 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00148609458379515 0.0117421475706329 8.02710016309319E-06 0.000864509101886287 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00320909507874851 0.0249780600700848 3.7754834109505E-05 0.00390096508193335 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00573252582282225 0.0421200337730273 0.000122522331586952 0.0107200935284852 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000298142432861249 0.00170571682258622 3.70369295210784E-07 1.53513368393791E-05 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0011084087734742 0.00489603646508071 8.38418572723774E-07 7.88449495077415E-05 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00251559571845805 0.0106791871076948 3.91835689126368E-06 0.000353568046212034 NURBSSource NURBSSource 22 227 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00426483453328661 0.0176854562724877 1.45698003369338E-05 0.000956075249867939 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0380282230307183 0.0935522554054545 0.00400853146180823 0.0241412286398146 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.015779167878064 0.0392637834854683 0.000660504175827302 0.00436915830148461 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00888065309291972 0.0227980871534381 0.000195140186221326 0.00162508424339689 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00607454365061825 0.0174805132849873 8.07428913746696E-05 0.00111974846901511 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0207498479024054 0.0571915302392643 0.00118108743674393 0.00952872782795013 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00607036243962607 0.0216463654629607 0.00010425255863499 0.0018776278762164 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00428318259782572 0.0272888028332834 6.0878096435761E-05 0.00424171187081471 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00597187169007866 0.042711957197157 0.000131112497554664 0.0108590622385927 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0190619966798093 0.0540449099121361 0.00103385876958511 0.00804150073872678 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00581437524763653 0.0169490660896305 7.9167927562572E-05 0.000758260796135532 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00378260876289796 0.0139298607441593 1.87788415814662E-05 0.000528489881175284 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00455181947740571 0.018626461338212 2.01837282087169E-05 0.00102664098760674 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0764052617677472 0.186700716228819 0.0165160183162439 0.0951401065032105 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0315586474433595 0.0783663860219038 0.00268902409437706 0.0170450568212533 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0176539239492854 0.0445788416484499 0.000807054788812422 0.00579484594250698 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0116206287577214 0.0304390933238541 0.000324953937942402 0.00297304772049798 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0415268156405915 0.114129972274645 0.00476272528413986 0.0372179879695391 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0118381617059436 0.0353778026408076 0.000386785261370804 0.00434520495201308 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0064760792784162 0.0318198359961503 0.000127932543765498 0.00506081457608364 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00671228550724981 0.044191089294728 0.000158467458799546 0.0112426590842157 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0381638222940206 0.108012661214161 0.00415825667741352 0.0318487237004472 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0114797954060846 0.0323312595477455 0.000333552856624175 0.00280691684754529 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00615503373856512 0.0198419915998814 7.03609720107077E-05 0.00103454258652584 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00544708385909294 0.0209190117575978 3.74627422051867E-05 0.00123214970323111 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.155822458438654 0.370224570053997 0.0719429234031509 0.366885702255495 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0632464211685363 0.156493351598678 0.0109908792709467 0.0670523717106743 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0352743947386852 0.0886423724045271 0.00330929823358426 0.0221056916403322 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0229585425981895 0.0585592202757583 0.00134389664712783 0.0101138405575741 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0834105469221411 0.227697879401052 0.0195504288885398 0.146054943928603 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0235292583560376 0.0655220342847208 0.00151255674775645 0.0135546618650776 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0116281797601947 0.0433371325863786 0.0003886692093355 0.00781645470194878 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00904021280153921 0.0487997180385507 0.000265550261758688 0.0125985668834581 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0766879578328901 0.215679088125793 0.0170416247236161 0.125819282291276 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0229026503978981 0.0638537578697462 0.00138138054445295 0.0110469645865454 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0115370384286569 0.0340554090461702 0.000298917766372906 0.00307740014069697 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00804734558676057 0.027565676004518 0.000112949137702067 0.00203735180172885 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.544379699140474 1.03490051492243 1.05276447359589 2.61477859731933 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.195776905420744 0.463326729129509 0.112571133490272 0.570230006053284 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.106613684983587 0.264580317845303 0.0314076467374458 0.190943763622438 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.068794693482479 0.17335039173153 0.0126825931250851 0.0835613051943948 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.26823055925921 0.664939679029412 0.228691688593204 1.18679848926497 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0706629934226691 0.192218114972516 0.0136863080993125 0.107381387832807 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0336550898806365 0.0991439594173367 0.00313525802413775 0.0327096475697047 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0216298755661514 0.0770791324281188 0.00137572541750908 0.0244514632692703 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.247398297862005 0.629489486189347 0.198379115937033 1.02272287894153 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0688757530615844 0.190824989518861 0.0129828040745814 0.0986042358569122 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0340104612404042 0.0955650815372461 0.00294927376086962 0.0250699205468157 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0211082234422176 0.0627883822058606 0.00104099021305643 0.0106611310425046 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.01808827914798 1.62017839778559 4.02562366233073 5.96964579851395 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.344736868915297 0.752594533766507 0.37682373805042 1.45629477942037 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.180634490835514 0.437133217853923 0.0933444395200698 0.512812713198274 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.115248556494639 0.287491176329004 0.0364075680493737 0.22605674645632 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.497133567062033 1.05781163713965 0.884675353461521 2.83965822796968 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.118591536095087 0.319591895750488 0.0391672922436636 0.290496592481397 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0559938901052885 0.159759713847928 0.00867631518972511 0.0798372379249049 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0353073939925473 0.111517851259519 0.00360359320748869 0.0458426124432634 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.461630400324586 0.998505665160214 0.768498056255237 2.43390058602047 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.115611920305462 0.317040295785068 0.0374573040246973 0.270129723419275 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0566958619704147 0.158162812387017 0.00845921316833439 0.0688846689495016 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0347994603717856 0.101065313506607 0.00301511152415088 0.0279561160046665 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.126760854706273 0.298916568337673 0.0487208090582454 0.249564469716111 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0517443321818507 0.125728231904505 0.00765060615867981 0.045547093995394 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.028773711430433 0.0711665030161284 0.0023015511982844 0.0150822860798101 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0187337247483077 0.0473713362462285 0.000932316762490623 0.00705902621243738 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0695033438142618 0.183338798732375 0.0141143129836481 0.0980792116114128 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018857850688138 0.0546112382182846 0.00102201888388344 0.010008362375602 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.009589635343754 0.0390456639026009 0.000280174855349273 0.00675670010305248 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00813257836832612 0.0471859000247594 0.000223938180785372 0.0121157510369688 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0642108378845917 0.175123309003404 0.0123615101616518 0.0851733319253171 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0184850687011838 0.0518769006474116 0.000931042968293552 0.00768158773934026 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00946794514562695 0.0283704147834291 0.000201797952032869 0.00220953133134799 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.007064012819391 0.0248551249711195 7.97089383864576E-05 0.00170442143802663 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.266801077918391 0.583628759284748 0.235516440983197 0.916749602088747 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.104128303597101 0.250764864546631 0.0317472977771434 0.178706008280743 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0575760544706299 0.141931279946031 0.00941469621117552 0.0586688414608011 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0372741827501443 0.0931362147273702 0.00383570742888621 0.0260256478709128 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.141302003903812 0.364282947405057 0.0606447120740057 0.379900022077782 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0376386494780813 0.105509214308803 0.00405983295346899 0.0352372993766349 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.018260910612496 0.0599791794989172 0.000984523977479745 0.0136414999722452 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0126942761889968 0.0569564320561958 0.00051102111785127 0.0155030048598279 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.130731376294519 0.347761740360969 0.0530660944817786 0.330452583642948 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0369412157320842 0.1031802219455 0.00382728956862966 0.030532359456976 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0183853129911419 0.052645982200173 0.000857747605579468 0.0078298217242394 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0120476452485326 0.0375520072752325 0.000304373691910953 0.00389458306029618 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.603772161252662 1.0983754000574 1.37341125173469 3.02143108182811 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.214664528382298 0.494475744946747 0.143464219053817 0.677356627184283 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115881333233234 0.282750568887719 0.0392081205607287 0.228716375634363 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0745334982162895 0.185199474785934 0.0157570930748822 0.10021152162109 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.303644355802173 0.707023787329503 0.311557495641529 1.36792291426621 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0754455775447654 0.20888311854738 0.0164310174533854 0.133313429728599 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0360584147609118 0.107220249907437 0.00379382282442656 0.039004724498138 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0232110032213961 0.0815501595988835 0.00163634058219002 0.027217948580492 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.281917507722776 0.67288336036544 0.272645265222113 1.1838412336496 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0741582617468974 0.205588848894363 0.0158208253233512 0.120789891011103 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0365262180664736 0.102831040620441 0.00360298986131869 0.0303141756544712 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229401934838144 0.0670173882260295 0.00128112180010372 0.0126925850451047 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.26528964692494 2.91823779388091 22.1617036854404 18.4969726499336 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.769570493784252 1.35392614525146 2.25141328306984 4.59653027072878 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.379426286816376 0.812404435948724 0.484030126512866 1.78371928626004 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.231653407601421 0.544466894406626 0.16555897735055 0.833074783842684 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.19836917635155 1.85874532669312 6.06029792840512 8.18653201144488 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.241497916985451 0.61898453416384 0.188697295440086 1.10890579778209 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.109994311352975 0.310837505920278 0.0364843429723605 0.297855216878492 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0686072885660607 0.204236124919493 0.0142902383575072 0.141734791315725 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11145724841817 1.75637242289379 5.15881031079551 6.99276288860961 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.23857015237572 0.600957073068259 0.18560784606238 0.991767276700319 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111090747130418 0.305079121520707 0.036112289211759 0.265878846516594 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0681231135348978 0.192781758077148 0.0127429027250885 0.107087115280176 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.03510066123985 4.69508000946903 71.8624787225678 45.4433116613233 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.4219563347178 2.10512671195055 8.18949385655083 10.4242889667862 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.69370306488814 1.27878844480525 1.77314082962171 4.18584510325706 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.410235378890528 0.873221726240257 0.564198225257019 2.06357243270153 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.24710672246637 2.95539805548209 22.5219069506107 19.608253245578 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.455273902978351 1.00931006534674 0.780721746495994 2.78208116437314 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.194050807720763 0.520603997037019 0.124457501961 0.806386070314772 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.118573057140646 0.338418401979424 0.045172842685071 0.371831671209228 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.07626578268597 2.75921833713135 18.8538241205634 16.2100462326045 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.443141600106847 0.957815475030109 0.723754102562573 2.38698069279685 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.19309349256169 0.503177829228556 0.118457526554033 0.706568229474235 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.115657952373894 0.321155293744362 0.0388359694282144 0.295112721206258 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000199986085650985 0.00130212830144082 1.40553451841465E-07 9.39922902259852E-06 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000410519171633458 0.00295520082292967 5.35099750758551E-07 5.0721275265315E-05 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000824733910392815 0.00578886978613693 2.29125745536813E-06 0.000191230059622978 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00142216723390872 0.00977357627964727 7.33300341948948E-06 0.00053456018754685 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000211306996552924 0.00327189853535793 7.23058959831456E-08 5.67520346538155E-05 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000948828679900147 0.0131722491569976 1.81717100018808E-06 0.000913437043445291 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00209812193346981 0.028334415830163 9.20828598325319E-06 0.00421096955790254 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00362336585824716 0.0470617906057112 3.04948901211593E-05 0.011529287810031 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000630433616161268 0.00203957072723381 3.0179814350401E-07 1.98729518382636E-05 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00114419793567491 0.00487865220939267 4.05715986814065E-06 8.29696764081963E-05 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0023725460107421 0.0101403129889366 2.16105970301616E-05 0.000330599155629855 NURBSSource NURBSSource 22 228 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00378692382997674 0.0171339336492031 5.62030185610559E-05 0.000928283901463538 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0477373055387274 0.117267080284022 0.007430065780125 0.0429910262694605 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.020399024182204 0.0457911948604366 0.00134177338713277 0.00663931534545255 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0113412004092553 0.0264789535162997 0.000415879834416421 0.00244311314962338 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00742941026464386 0.0194281455735654 0.000181561589428175 0.00156310592098147 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0245661798150863 0.0752565474459689 0.00199435041404807 0.0180357242103656 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00692543481865485 0.0243351834384022 0.000148885696851298 0.00251123163000216 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00384528803522981 0.0296494219690528 4.05903877133123E-05 0.0045656284826967 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00407229586907414 0.0473231719170347 4.27507577547639E-05 0.0116479554144923 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0205116709851419 0.0772093000945267 0.00137272453746692 0.0191808286165158 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00678711912027422 0.0218880791687876 0.000151119780107752 0.00153856670570495 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00427838218153397 0.0144399434251261 6.49444697531837E-05 0.000656522583170149 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00440772521673522 0.0181210972071156 7.34460796071871E-05 0.00104654040325321 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0956724639608104 0.23435449282979 0.0304756482762269 0.169395121629711 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0407955658334948 0.0915030328971603 0.00539998819046063 0.0258556952575495 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0226331140653103 0.0520325000072193 0.00165579530430233 0.00879478922015483 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0146263707402611 0.0352024960324114 0.000696553433030786 0.0044448014556808 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0491737127543805 0.150374043362899 0.00810957418213307 0.0707194323743603 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0137829400744201 0.0431285534071594 0.000606093457940843 0.00694695099868445 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00689336910652954 0.0344964967520022 0.000141817885299444 0.00580973645635988 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00539006269043573 0.0480965580047085 8.0853866096396E-05 0.0120696211658257 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0410508275566771 0.154344063889555 0.00561750285527118 0.0759067670495836 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0133605479639484 0.0430595282053338 0.000592015206232936 0.0058814942578001 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0074217164148768 0.0232368619912313 0.000190288517268529 0.00166945463445845 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00583658601174582 0.0214377846517424 0.000124237723599823 0.00144105442591128 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.193560777390017 0.465985137175151 0.130873845158612 0.652193415040323 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.081558398213399 0.182754747114568 0.021838720495369 0.101112970411617 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0452091131695009 0.103575642457144 0.00663283360902918 0.0334368384071997 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.029108240139817 0.0683428795693339 0.00274964781272506 0.0153640418709824 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0986729197188478 0.299964819450134 0.0335453757350817 0.276553880866329 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0275323834458972 0.0833100467679427 0.00246374175216307 0.0237053640587062 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0133361935405563 0.0495297376609281 0.000560612772231243 0.0105811984083713 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00890713978073865 0.0525303926714501 0.000238419997984791 0.0140889111205421 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0825014304262255 0.307860183635109 0.0233430816901737 0.298315528486858 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0266046535868165 0.085691275584544 0.00237052040250288 0.023077046041417 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0142055216481498 0.0432253779724057 0.000687419525953691 0.00571997894706692 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00960735219492251 0.031412659422854 0.00032524473699196 0.00303004321746342 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.664922530629458 1.31080474471653 1.90138490245709 4.63772386567715 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247849114109252 0.545053398148128 0.214996245290516 0.859085717227761 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.135818339970816 0.310144831718725 0.0613437422324793 0.28794706175942 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0872243711324897 0.203272916333307 0.0249495877896284 0.127189490725369 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.320815646662224 0.874408902084923 0.410673928243066 2.21520975476653 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.082922798925234 0.247511359963272 0.0231784987720443 0.194706327915818 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0397150350155889 0.127207476267269 0.0052256784333935 0.0573574495286577 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0246701439484848 0.092287527047305 0.00200230328123976 0.0363919246715956 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.279272514381745 0.890901034949684 0.327783532315834 2.34806991074436 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0800381479136925 0.256509418594081 0.0221483616839993 0.204291540779597 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0419999974190753 0.126823432667686 0.00603543213169691 0.0489534044682583 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.02669922302549 0.0817021414260594 0.00246426846686274 0.0201688029923452 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.25204114718613 2.04267443055106 7.36205139043042 10.5155638890154 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.429241345306022 0.893477218637176 0.69987298139084 2.20774183949045 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.228500309775333 0.515407821371191 0.179364623882163 0.77449952824962 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.145828886933885 0.338504832497156 0.0707094457448179 0.344682107927435 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.612699542614173 1.38098250348891 1.68855234679747 5.1508153345395 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.139762643663597 0.412542480994128 0.0679776767413995 0.528921816131569 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0665328461906479 0.209557864663941 0.0149911900545632 0.147316686382396 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0410188294979804 0.143143415446058 0.00571054667108738 0.0791617035101736 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.556806851295117 1.39443447962708 1.50945877304834 5.34425388927541 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.134968294636514 0.426486641039509 0.0651547241634169 0.557416742500469 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0700826704873481 0.211106994856291 0.017037766428831 0.134721207827152 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.044314328340383 0.134438075643218 0.00681626025775849 0.0543102997355103 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.159171021610385 0.375137216489505 0.0914703243548661 0.443048763060579 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0672242650432008 0.148229286035465 0.015803592261139 0.0686883361915568 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.037224702042597 0.0840038466128236 0.00484339781346733 0.0227933639508182 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0239724637259297 0.0559315701262016 0.00201254602475846 0.0107778934086093 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0814679195498793 0.238798045467038 0.0234412220134694 0.180856222215217 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0222148464538434 0.0685072160521519 0.00167429337622427 0.0166022753278825 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0108774124392467 0.0438301267857935 0.000388026290471541 0.0086578775142227 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00758722287168491 0.0514623571161195 0.000180531755643903 0.0135069691229811 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0689663445025026 0.244935679558463 0.0164334864431693 0.193893426862102 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0220049657078415 0.0697552853776322 0.00171733910867172 0.0155637489848145 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0119185270906868 0.0360837070727748 0.000513069843300834 0.00411650086534737 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00832111320692457 0.0282178595103773 0.000251360590681936 0.00252712026353736 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.329357128445201 0.738562096111016 0.426908160621001 1.64181301817954 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.134279205539632 0.296402978756672 0.0637761935123572 0.269092059761535 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0743649740346501 0.167573068771935 0.0193951896051011 0.0881782065316695 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.047855580499369 0.110371325811761 0.00802208569560902 0.0396559820189938 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.164809342402603 0.475544714221495 0.0998298878695439 0.705326319254737 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0444072503214031 0.135262394295084 0.00676774552532675 0.061054852635175 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0214941687989169 0.0727843060252407 0.00155951535020627 0.0209988606759882 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0139380382337895 0.0638851110882465 0.000645539211708226 0.0194170454324128 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.14063246138148 0.486568023628083 0.0716456015296596 0.751842683187474 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0439418242045327 0.139057981629819 0.00691784084232581 0.0613930848429037 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0233727139654008 0.0695094183490862 0.00197581323426829 0.0151815843118375 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0151100941350485 0.0472801791977193 0.000823022712286145 0.0069872148181097 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.738717034258905 1.39323753763114 2.47217336363221 5.37354420284306 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.271723970581424 0.589546183381792 0.274214700665544 1.02793126666735 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.148582425847199 0.334911345266328 0.0782456943035275 0.343561677111556 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0955462465908187 0.219888780661117 0.032029147503109 0.152125483366245 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.356994031273241 0.92402489020059 0.528710454677605 2.53969271918249 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0889671737052734 0.270220260508616 0.0276067886828993 0.235790503801457 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0428958310332047 0.137657850019662 0.00632219080084414 0.0678000049060518 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0271981001659729 0.100004152193741 0.00254847113518482 0.0420230002119352 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.315852533167307 0.936969719263379 0.432313975807309 2.63106921370581 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0879463528754262 0.27758066087699 0.0282284104061869 0.242403440237459 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0465292160836275 0.137429826039879 0.0078665088897108 0.0589136970220691 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293804623830068 0.0889643927885282 0.00311884166088587 0.0244443356476175 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.8363412204835 3.66320621825726 40.7003101346895 32.8603967299102 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.935409064679931 1.6463668781565 3.90371863951628 7.14142797495089 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.467946645223439 0.981155783123537 0.867342441606651 2.72883497368886 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.29003012058102 0.654267743257089 0.308657413934536 1.27192360147909 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47525087521939 2.41148864572141 10.9463702492632 15.3210730938195 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.287716328406462 0.812145512023482 0.326905081720514 2.01947950924483 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.131264893651697 0.41288580326476 0.0625900107106709 0.562957090280691 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0822482250148657 0.274677242135493 0.0246925344927749 0.272324471786432 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.38602355000631 2.38473028197227 10.2895882618897 14.7711873244801 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.284453296808353 0.811752878986382 0.33675400214065 1.95602646649803 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.140866261050912 0.410704755773723 0.0753285442546972 0.511882801727199 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0881258544264646 0.261232151492271 0.0291798926666426 0.20546610848076 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.09672477229633 5.869166797227 132.795135317234 81.8945821364045 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.73278845009279 2.56492850079586 14.0741657067301 16.4155031564608 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.84449794111105 1.55653039587002 3.06556720419434 6.47575825664309 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.50409941810043 1.06094667397067 0.999211161444012 3.19490500785006 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.85559528308402 3.80284310107713 42.6223651132141 37.525464661794 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.561665961044878 1.3308677959467 1.47654156286445 5.17500629940718 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.236342327415065 0.699697394121732 0.226012567114031 1.58398638623513 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144607320037578 0.46516008662908 0.0835381898097911 0.754622837386267 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.67360248974615 3.71269390555149 39.4803817021515 34.8685129959214 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.541378582806209 1.28602094170657 1.38536944558806 4.61013331544237 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.245348653167597 0.6795784725809 0.245968305045272 1.35212100553639 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.150538265223026 0.437776111605569 0.0898574830702076 0.564480739243791 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000219952733940796 0.000760458557313547 9.70367336733813E-08 4.14179309597078E-07 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000671086683812488 0.00247444646893303 7.07300257022416E-07 4.4021824063359E-06 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00140967665777839 0.00514586099813748 2.99924787059963E-06 1.90105371060634E-05 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00287975269825648 0.00936490466692237 1.63614017713612E-05 0.000125996119040351 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00142707986586708 0.000865068772457187 1.55600002901865E-06 3.70993183236675E-06 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00564044178233365 0.00393150346115129 2.38423278545689E-05 7.875315696665E-05 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0121606579782088 0.00865559755665765 0.000110266958999254 0.00038227414769646 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0226019813372286 0.0207884199536928 0.000446129058735884 0.00272409933809068 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00290909012958343 0.00149488778335377 3.48198689318082E-05 3.69075469921906E-06 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00268551884809117 0.0065014567764432 2.73050156694509E-05 3.58065927745332E-05 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00473616524385385 0.0147360168496646 7.70214108198662E-05 0.000190943853176107 NURBSSource NURBSSource 22 229 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00800924668825247 0.0251090145005969 0.000220787491685894 0.000569981578654074 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0947189157739789 0.047816863499163 0.0242190514154115 0.0058620707522887 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0404194364773649 0.0196148543311292 0.00428329167210069 0.000935675196039147 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0231261040588954 0.012015459800662 0.00135859627531945 0.000268635487506085 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0157213606682425 0.0120781167594022 0.000569659423263305 0.000232778946211076 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0653328112936033 0.0250677137656895 0.0113569303933663 0.00182542948701815 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018891013617326 0.00824626817082083 0.000738716245413575 0.000248944987469436 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0149125964244387 0.00972571423395931 0.000233642395575127 0.000438404053029284 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0232867585356597 0.0209981347882362 0.000489928105340253 0.00274196514799295 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0559945678412564 0.0237340265365632 0.00879708007910698 0.00152092639643505 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.016807749558885 0.00976310348076788 0.000808758251604441 0.000131923206421578 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00964716606266544 0.0155544821093172 0.000286728255508053 0.000212137827673176 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0095489427188478 0.0254569997109937 0.000305563049379717 0.00058111136676965 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.188743565018594 0.0962278642344847 0.0981966377730729 0.022804354886836 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0807558146168052 0.0391121361020079 0.0173025881995657 0.00384404370425941 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0461314682806964 0.0222607098299684 0.00552458556183369 0.00110949719055333 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0306222346939436 0.0171769791418715 0.00231437897925618 0.000567525765577006 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.130305761976867 0.0503647950409672 0.0461406051482691 0.007087872710138 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0365789657537162 0.0145590416215558 0.00314718483613093 0.000697479870337554 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.020625045730339 0.0116209770981543 0.000644621259489814 0.000567470834304496 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0249213940053601 0.0216218684911 0.00062137717327122 0.00280818293283439 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111766123334843 0.0475650193548386 0.0348442735958647 0.00598500901458545 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0332350153944241 0.0153017587259876 0.0030657007699362 0.000450416752655502 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0174393974143361 0.0169886915889691 0.00088452414677255 0.000279765046989394 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0132904175402999 0.0261015685620155 0.000560274985049364 0.000612393989012277 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.372403947876576 0.197973850903259 0.396683371218539 0.0900900224223319 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.161024382390033 0.0785884220473024 0.0699427405438348 0.0154431658590401 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0920993782575722 0.0437782704978093 0.0223899755118655 0.00463116049065596 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0607020178553146 0.0299247572700084 0.00944728345804881 0.00200152595361981 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.257720929448066 0.103198614949653 0.185698512634617 0.0281694420741471 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0724617153917295 0.0282192528825501 0.0132269761237141 0.00240234075616601 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0355130427648136 0.0164753605109347 0.0025106883738471 0.00101461599441241 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0300829215559518 0.0234260811115763 0.00117185521849404 0.00303734943551443 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.221919624133428 0.0964461557048023 0.139324437849299 0.0234556532797362 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0661975189353439 0.0282941326098348 0.0120311827406512 0.00182697098074983 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0337530502979383 0.0208928665448303 0.00320860060541309 0.000564458830079304 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227623449028169 0.0277998034957102 0.00154461686039135 0.000735512415367987 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.05216864581097 0.668274520054065 3.52792420103547 0.883959092731271 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.47143340327916 0.247440593154309 0.631423665993773 0.142091588909947 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.273632061479942 0.133208130050612 0.204557093455779 0.0429310330462213 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.180765243226495 0.086348346868693 0.0871753403214953 0.0181261342944456 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.729813490536781 0.353326391492185 1.61981902389657 0.294827843011454 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.215026101857245 0.0857647345535867 0.124271775718124 0.0201607952642335 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101159940313036 0.0409799275569844 0.0249826489001466 0.00525601655223301 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0632468258102057 0.0344284087651848 0.00807332682167284 0.00504777735822757 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.634114231922406 0.320877732953341 1.22026089465483 0.23369158381331 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196865006648433 0.0840774003345742 0.108135625743296 0.0172408581853827 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.100008841027912 0.0441144737181375 0.0278274871319426 0.0039455042866667 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0641278844372796 0.0381097594938103 0.0116946169480629 0.00207322412045733 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.68167141724915 1.20380431932394 9.64877009851105 2.65480727792532 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.764729011393323 0.434360307478221 1.73383148629683 0.414989327678903 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.449244435648072 0.228526236122861 0.566345723587263 0.122687580408663 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.298860631104358 0.145637425917606 0.243370178610207 0.0510643758351501 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.16005529799562 0.648227405900577 4.36181124855691 0.923097343820461 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.354313732932362 0.147819710166073 0.347239294639446 0.0575020272798142 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.16772817259484 0.0677348307717651 0.0721159645287286 0.0134186594574334 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.101197365895434 0.0488238081822794 0.0233381612432312 0.00875469956395264 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.01368035365632 0.580098858891943 3.30684198929798 0.717147004529543 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.323979932749515 0.143971256915219 0.299293192327087 0.0493865650788202 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.165764766654869 0.0714503618399602 0.0772779441735911 0.0111212283538453 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106099229853173 0.0523002856768826 0.0319757443740004 0.0048410484210807 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.294684742464363 0.155657211247233 0.249991966864652 0.0579295597308473 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126070780222523 0.0621702074255949 0.0438302136583055 0.0100244535170771 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0721057827747734 0.0348362579519534 0.0140966564272 0.00300032591618957 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0476566375830342 0.0244480069758168 0.00595836418466053 0.00133715253435478 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.203909468637537 0.080743641430965 0.116937474945978 0.0178986394406748 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0564441277823652 0.0227985050646645 0.00812885382773971 0.00168583649681368 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.029100853336306 0.0146498760984957 0.00161351453144144 0.000841128158652907 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.027869259464442 0.0227723775412524 0.000923610968373539 0.00302316003492941 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.176371896562229 0.0754820940748413 0.0882758166941788 0.0149225196639439 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0527094362985144 0.0229612415125091 0.00776341466504208 0.00121797168578093 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0271232013406021 0.0191411006970053 0.00212875578633968 0.000434928470765146 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0189278928689667 0.0268655584181085 0.00109683650912154 0.000672960451271251 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.576307156180887 0.327236460588274 1.00679298811468 0.237029343385422 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.250233523067367 0.126201039840067 0.176833489854317 0.0399391021446508 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143905693557769 0.0693875835723107 0.0571389846816543 0.0122378969829941 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.09488839608926 0.0460155061390247 0.0242734458103072 0.00521309098528327 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.39798278478764 0.171687625966549 0.463941623211474 0.0762875902147011 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.112500791526459 0.0448751575316828 0.0338539378654664 0.00613989551090573 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0541981935086183 0.0237494570103471 0.00677710285987319 0.00199231874387619 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0388334655910672 0.0263803867875084 0.00247716629762704 0.00364826579652479 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.345911391279768 0.157638389486293 0.350088193969205 0.0614069050030256 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.105138156723818 0.0444955276668741 0.0308882729034008 0.0049767439398709 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0535259778035615 0.0268109284649759 0.00813183664965355 0.00122668825186025 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0350613771728404 0.0300350833786831 0.00360392052170021 0.000988189391497999 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.10216871660875 0.716323160469557 3.96184526005915 1.03060783940009 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.491135591182551 0.262785423272347 0.70867205449338 0.164107676256157 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.285042199621334 0.141347753765927 0.229944591602347 0.0497877487658084 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.188789454171641 0.0912226892568304 0.0984324714558793 0.0210028485199594 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.761906071838593 0.379699696629442 1.80689091748064 0.3471418882106 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.223441826665214 0.0911341574976819 0.13852122384402 0.0238822435995543 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10651473962171 0.0442411648261282 0.0289067105858673 0.0062684113568931 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0666770177707056 0.0362362266742758 0.0094184301692769 0.00585009701495681 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.665496289284633 0.343269484639089 1.37061730024731 0.271274064015758 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.208666665323494 0.0896869117939304 0.123697594981319 0.0204641486732645 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.106488191484674 0.0462302494898214 0.0321300675006578 0.00461746292634243 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0685295453338712 0.0388624722003824 0.0134888871491618 0.00229131820758597 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.03056108254118 2.52057331697694 34.6071221025495 11.1106159296333 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.37282751240948 0.898681165205892 6.14264898973649 1.70500457307515 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.817668228608065 0.462015246825914 2.03732449734912 0.492369483026449 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.549529428346063 0.28821062909011 0.884208035236409 0.201155169280278 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.03390804083608 1.42941875593167 15.0770397215358 4.20182990896517 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.648986318284301 0.304946220052068 1.26418645407793 0.243326030254211 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.316866815601075 0.136032121474923 0.280915423998985 0.0523924462696549 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.190289174544927 0.088213716701889 0.0946247532458373 0.0261900200710226 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.79874646359655 1.25091623657478 11.6216209971502 3.11827327879486 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.60159869799379 0.2956538211688 1.10458435743559 0.205857266255519 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.313482047825349 0.138446753594702 0.290221997177851 0.0444425283138113 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.202477486513143 0.0902162573972907 0.119998794998816 0.0170861357754031 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.93289397208442 4.43143618157678 96.5409594814892 32.7761072172346 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.17918711387641 1.61491459994768 16.5068399476124 5.17597159251559 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.30714992215308 0.823794740633309 5.47667325625184 1.48439068558289 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.887743361413934 0.505233763882599 2.40196365380038 0.593273592737449 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.23895954445919 2.63079020594145 41.7585226233989 13.359632389165 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.05794215033747 0.567112859195103 3.57586407428923 0.792171836743118 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.528037879622959 0.243393641473837 0.822007803385373 0.159391468431296 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.320571650172163 0.149277390673115 0.287155995765424 0.0673347291418685 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.86674345479447 2.27852132844257 32.0882447196453 9.73946753189611 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.966123410441828 0.538039966654541 3.02265227525638 0.63895341528103 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.512531589014735 0.245921304860965 0.811945932236279 0.135530110659893 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.334083645070455 0.153353406088072 0.338557169591146 0.0502457582333043 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000656013860137797 0.000246487635348702 1.19823577191873E-06 2.81188252486336E-07 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00225027357745112 0.000743856212347582 1.48100589020042E-05 2.63603668558484E-06 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0047540171628211 0.00153157136262195 6.66600596307797E-05 1.12674475738526E-05 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00840196789388813 0.0027964652633381 0.00020434328584285 3.92091095903605E-05 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00206698743108383 0.00039805710517871 3.7751209402406E-06 6.25812638524351E-07 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00835214436989726 0.00129011146955228 5.54896499814939E-05 6.72558387250088E-06 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0180717973318064 0.00271703578399101 0.000255710786521222 2.99482657896221E-05 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0315252831048215 0.00521800651351113 0.000801433849745493 0.000128650200696904 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00244359471806878 0.000657157173048594 2.04047892614011E-05 1.2283747237618E-06 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00491239318863735 0.00144280151544091 7.79592342083908E-05 9.32121699000637E-06 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00971932562104735 0.00337730478935989 0.000298628838072478 5.37585124284688E-05 NURBSSource NURBSSource 23 230 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0166024173431349 0.00629746810934391 0.000829288701897247 0.000189347648978436 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0965371452059543 0.0720668926210765 0.0277963816909331 0.0134582200721746 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.040073995696861 0.0297920766034856 0.00463052499010963 0.00232576266412201 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0228810211207381 0.0167527115577036 0.00145900351053238 0.000772851339046419 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0166299973799646 0.0111598207593959 0.000761298179508885 0.000384555627536388 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0556453272025797 0.0420218410943605 0.0087988038132368 0.00462593016512292 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0167574703224268 0.0116598795736724 0.000566031036453707 0.000367272843701934 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.018849797478237 0.00604158412208026 0.000362034567185022 0.000116545858041849 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0317405327831934 0.00606004958122254 0.000845183802882095 0.00015856569895294 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0519885831661592 0.039355803027898 0.00843843047900439 0.00400910559298828 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0154211222274094 0.0113297468341795 0.000753991812948862 0.000360718829923177 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0117499159477309 0.00646888350753535 0.000455537894942245 0.000153879711648356 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0171359230221444 0.00721665106688361 0.000886952988185656 0.00023260228401676 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.192939119277475 0.144303652383927 0.112224025682734 0.0531178125990937 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0800737565392315 0.0595796681943943 0.018681444998807 0.00917503177207744 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0451787484116873 0.0334370139866221 0.00578626551505647 0.00296846239942615 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0302580926172377 0.0218413134101863 0.00252742185719749 0.00134574602648341 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.111202745701761 0.0840796310757846 0.0357729348101956 0.018333339432862 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0313149531201674 0.02326081670883 0.00233991314480957 0.00141922827285181 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0217918186863506 0.0112308948224072 0.000688421603671042 0.000364121470676975 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0322092552831962 0.00835054892551937 0.000971832054870089 0.000255847260502553 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.103884683938919 0.0787196798614338 0.0336007131848151 0.0158941993635195 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.029840459399004 0.0225587693696752 0.00274691046428105 0.00136449862107774 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0170455004817027 0.011611791988968 0.000941784175669142 0.000430056989733436 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.018493147545241 0.00937468397014214 0.00105663586161686 0.000355423506835996 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.384872805610565 0.289562175918841 0.454597219345596 0.207954202256448 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.1600419387016 0.119209727891798 0.075337991552034 0.0362600914477374 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0900628453084406 0.0668433798624357 0.0233189277470412 0.0116124115027247 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0590743547499029 0.04346772192672 0.00979035913047575 0.00507076065973868 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.22208608046816 0.168371031933441 0.145062339348011 0.0723444171704529 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0615235923847963 0.0465176912817621 0.00991377446130329 0.00558259404983343 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0331553063410547 0.0221126534995182 0.00215094567454156 0.00132630865524218 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0344419974937701 0.0141530431350347 0.00148082121564288 0.000624883410816089 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.207614149116849 0.157530299237689 0.135018070209576 0.0625891375159238 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0591368087555251 0.0450882163480828 0.0106610572129834 0.00529955348734353 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0303840056316851 0.0225134698683411 0.00287689984306699 0.00146912118973476 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0237164391334273 0.0153818065049184 0.00176625452582036 0.000820968467844246 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11904020525901 0.895313652857701 4.08266542577921 1.78723929178066 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.478248862918417 0.359023173117642 0.687889316542333 0.318445159320416 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.269554344830222 0.200691158598252 0.212794000128459 0.10199595555262 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.175759500204489 0.130259240254175 0.0888194932793892 0.0437005996893535 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.659264678664151 0.510162718969949 1.33542148580924 0.626919697583351 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.183596729056981 0.139754709141515 0.0945234211888883 0.0494588363641363 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0903238201968534 0.0661999996803508 0.0204724349666343 0.0113473893349409 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.061210203065758 0.0400623250663397 0.00767851988582184 0.00434573826328962 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.618220295263885 0.475809004988064 1.24082144670861 0.535319033068484 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.176755151277727 0.135463038990416 0.0955909873713422 0.0461416268496974 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0875527639445286 0.0669927005274302 0.0233525964603783 0.0119479092380613 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0563290216782941 0.0427561731626981 0.00960078443965423 0.00530974925971574 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.80719589324035 1.54941024546755 11.188372103052 4.99007282013026 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.791728175564521 0.602675581809251 1.9174284511333 0.872132893552742 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.448227992472157 0.335095622692191 0.594313265495225 0.28002224880183 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.292365058095467 0.217225505853268 0.248083160683562 0.119760216287797 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.08338009959405 0.865248430732471 3.73593885493984 1.71280943849457 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.305891062772402 0.233600232443888 0.267433066122934 0.136670285538256 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.149488615797871 0.110489547464535 0.0594407072678957 0.03121441821576 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.096107502075366 0.0666064103991956 0.0216947043406864 0.011631301268205 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.01645052198009 0.805439383634614 3.46744489243232 1.45464373218097 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.294260015722539 0.226493106621704 0.267848097693776 0.125982388277924 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.145386600403025 0.111821089931194 0.0647096987091742 0.0322772866324067 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0918832341627263 0.0708660538697832 0.0254598290939603 0.0138532674191962 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.302587453471917 0.228967186086662 0.298688537760776 0.139731724614539 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.125798742835925 0.0940841604650522 0.0501910681724544 0.0244097211135527 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0708737342486194 0.0527882926399221 0.0155861303244342 0.00783614393251273 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0468705395380485 0.0343643885692421 0.00659120646142694 0.00344817122233246 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.175194401353089 0.133422747547184 0.0969723537905293 0.0487006490781923 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0498919725639198 0.0370643181938555 0.00690129880068749 0.00387277719062252 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0290780941439767 0.0176697920543036 0.00158859160404629 0.000927270336228656 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0334581554669993 0.0117423747281799 0.00129279975629595 0.000476740304572028 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.164212493451933 0.125968983358414 0.091150687654072 0.0424334998731392 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0479701904331773 0.0362109916057381 0.00751202777348276 0.00367405267778618 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0249204699770489 0.018346975621454 0.00204026297019644 0.00104532108036405 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021305554907995 0.0131386285424145 0.00143396236259742 0.000637239267445712 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.600393148374106 0.461502620983448 1.20698614283978 0.543550621346227 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.251215158219148 0.188471359701824 0.202301072500234 0.096467180108026 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.141404098348393 0.105570877443432 0.0628483901024004 0.0308401584357007 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0924292830168957 0.0685553014039594 0.0262419508014274 0.0133015286936069 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.34903523158426 0.267903012620839 0.393034217850739 0.191332490484386 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0987900301985102 0.0741417852958025 0.0287746703805555 0.0152986304089145 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0508730256155374 0.0350875493409613 0.0061679480286523 0.00352891871653565 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0414768373228336 0.0215890661796187 0.00281143043730148 0.00144760634933533 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.327435022645159 0.252722967113278 0.367787745174282 0.166152997096567 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0956603013940021 0.0724215738710422 0.0297805712478951 0.0143779754760891 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0473527581094402 0.0362391716343675 0.00726576426632188 0.00382914655557721 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0325067272698899 0.0238537207724257 0.00336227429877608 0.00186038273328836 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17210340309855 0.947220755529932 4.78783096935025 2.12748103255812 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.499935281733877 0.378770918617592 0.814389237063876 0.38010613007769 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.282110754113905 0.211488691641047 0.253098748212359 0.121757671151127 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.183954345313018 0.137095487687276 0.105579677601582 0.0520954440431913 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.691494453580904 0.541706390326986 1.59290106937023 0.745546344609458 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.196964317041692 0.148501345025396 0.118371133160632 0.0605941972333665 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0976268802459523 0.0701194105138474 0.0259528359799062 0.0137940846578759 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0665976204378386 0.0422072593226653 0.00959687600606805 0.00519128159473999 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.648953396685638 0.510883284611541 1.48526771050735 0.645676691741814 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.190915736987381 0.145079311061113 0.119557016371654 0.0563192080339125 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0934654607513022 0.0723161639009116 0.0282403633599078 0.0146117395733491 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0592353385144224 0.0464077352027116 0.0111803596838915 0.00646057352697742 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.35450201165158 3.05453058759952 43.4882971668373 19.5433626206074 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.44357472455587 1.17889066843002 7.09704304787319 3.41804734113531 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.832078068520039 0.642012037707915 2.25780114529565 1.07493769821812 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.545076862817518 0.413027549758803 0.947131548032638 0.457000760995686 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.98729778420266 1.73833319195904 14.429938482495 6.81623552489278 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.591312961019746 0.452012969476934 1.11441280569743 0.542001826837151 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.290641045763799 0.212155683175985 0.253727090793264 0.122879448052049 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.183864227132645 0.126687262679324 0.0929972997767047 0.0442391609564032 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.85621501466372 1.63430286756845 13.3711775733243 5.94984394088536 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.567349048797941 0.441231039095871 1.09789101176574 0.488166610034448 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.278418938175758 0.21840352140793 0.258525856454807 0.124653617592191 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.172719721565381 0.138461712459451 0.0978765847995226 0.052164982705532 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.56074953161532 5.24214414282983 123.723327268407 54.9968816279258 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.32252859139385 2.02037872966987 19.0859119525219 9.59051681460273 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.35071584280891 1.08993526578666 6.03790056429076 2.99469951250749 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.893214852740215 0.69322320798833 2.5624092172751 1.25666851685039 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.28652741792021 3.04936001674062 41.9516765695843 19.9081781052127 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.989946592208224 0.778913059649973 3.21375015470351 1.56235613035925 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.490995575694021 0.360920348493265 0.74977230840227 0.349179972285443 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.308424604374698 0.215085179017992 0.279443493659092 0.124331761953217 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.05713396237319 2.83714993392026 38.4042882219433 17.1636866234335 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.932914956058949 0.752719131531312 3.0783573086564 1.35494119119133 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.463832316928613 0.368620878004502 0.74207840120619 0.339784237695222 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.288923348608193 0.232730046730527 0.28461254366835 0.140441375564347 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000414172472041522 0.00033328004105668 4.39743693315766E-07 1.66567409290868E-07 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00108614020430135 0.000468349517194806 3.82468901360357E-06 3.50200245933626E-07 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00223271064922394 0.000866462440595398 1.47812479427762E-05 1.14863593133536E-06 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00354398467926689 0.00156417536285138 2.64199729063613E-05 7.91472049179863E-06 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000785043320238938 0.000945034393921741 1.00953137950989E-06 7.19260935487062E-06 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00295671262623886 0.00411308732077193 1.45896776449798E-05 0.000131620954645981 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00654543038519995 0.00936078749530542 8.32488661580905E-05 0.000711660065725226 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0140608413357454 0.0203376479975636 0.000710922812905198 0.00416448591686416 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00115445544432994 0.00445196527748982 9.70035042837534E-06 2.46418847463859E-05 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00307737082632317 0.00567105522915555 5.25247570970464E-05 5.7108746600868E-05 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.006567812387185 0.00961679845720425 0.000200042663114537 0.00018801347420996 NURBSSource NURBSSource 23 231 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0113752503623521 0.0151026834798078 0.000540437204052027 0.000523392872008428 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.154013880061979 0.0953642460515686 0.0666026096425405 0.0264568153596841 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0586361878897794 0.0404602313649858 0.00918741859544555 0.00493224961754313 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0329122685296538 0.0233856188436805 0.00285230041261782 0.00164554708529222 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0217281455459385 0.0156671649101187 0.00118180945608912 0.000740394731025219 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0878286198750962 0.0720508272822685 0.0221675055250828 0.0157598923811578 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0253372496092359 0.0206266340003283 0.00162282742240732 0.00146332465755993 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0144501617643644 0.014638560454541 0.000403941207616685 0.00110767546368398 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0168074575589259 0.0224571598493689 0.00081558636067799 0.00441797839445788 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0847219110261974 0.0616064345369178 0.0205407045987341 0.0111227670926877 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0254690775730374 0.0199767868191983 0.00178901835863237 0.00102325484598921 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148788643930103 0.0142832704031837 0.000638736544824003 0.000425353085884794 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0141283437432994 0.016658409190345 0.000711138216924783 0.000629373468876529 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.304365998706165 0.194070973347051 0.275308342342833 0.105281389748104 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.117148183699079 0.0809577527901962 0.0375397303345964 0.0193462894682608 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0655882170534282 0.0467265353218822 0.011531119809883 0.00654183012501539 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0428038056887503 0.0310911292636524 0.00476699760626542 0.00292578444341966 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.175403458066489 0.144363526530769 0.0938122248108102 0.0611085755793417 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0501042119022624 0.0402662143747893 0.00670694964125417 0.00519089968305685 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0253857773725513 0.022438552315295 0.00144779260767772 0.00207053177390075 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0222945228836592 0.0261081852130223 0.00116281263663907 0.00494882146791999 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.168792250974076 0.123547503223116 0.0851552128045201 0.0445256599847567 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0497825865178525 0.0386814337656222 0.00690071183863154 0.00413755367302405 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0258739722656171 0.0226134414925974 0.00183540983281045 0.00120472011045531 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0198090505619618 0.0206468166334623 0.0011859336019401 0.000942193662744904 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.588612797420689 0.405207967411534 1.14014528275979 0.430994621584786 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.233484543301542 0.162385260156896 0.155919330251301 0.0749085136072516 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.130910923242149 0.0934466517798159 0.0472703130762097 0.0256238696573963 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0852336714424508 0.0620478958167402 0.0195085056411588 0.0115116194564208 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.348651177554677 0.29082306848958 0.408370738752893 0.237801068041158 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0997513273864402 0.0801329243129356 0.0279461690945193 0.0195373671818672 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0481678292062762 0.0399110356832897 0.00584719696220039 0.00560440432240134 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0349584365446858 0.0350292452099183 0.00266136065396404 0.00666919780104895 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.334048591689856 0.250218713436047 0.361889159756744 0.178375454345144 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0987700767944745 0.0768159031280552 0.0278383266250448 0.0166898128686269 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0485075839394689 0.0415426340739139 0.00652561408213205 0.00451424349529563 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0325588925025041 0.0309886790767417 0.00295857254591142 0.00225596098850507 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.609099959337 1.35472263597795 10.9145905063818 4.08941908708363 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.678686981962279 0.503560847807536 1.51987963141599 0.65118009661463 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.38875851450531 0.283055105542831 0.45914064943493 0.219117786408515 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.254449018817107 0.186540071468159 0.187837333068109 0.0984962550474111 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01512091735606 0.903634845976458 4.2830642511831 2.10586132866782 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297513332964758 0.242257304330459 0.281201215441897 0.165090689410599 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.141833653404611 0.11491424869596 0.0574076640706542 0.0403045055355351 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0898278082135137 0.0771836454337375 0.020501934281027 0.0215897112045393 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.958469198240442 0.791575314233767 3.66009259501589 1.64972122059837 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.293424879403576 0.231999398266821 0.272256574759414 0.146977286854055 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141386663388467 0.120940902084786 0.0591253551730266 0.0401256307332225 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0871768377920302 0.0803203042960092 0.021824667604047 0.0170764049526319 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.60900635069621 2.36434610967256 31.4834795796515 11.6199887078637 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.09194088245347 0.871865048215516 4.37097296372326 1.81779094178591 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.637089732857014 0.481156251465753 1.33139963809767 0.605025305167505 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.420753304648817 0.313886286520553 0.546282266596265 0.269197514472548 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.6632122682072 1.53994848700098 12.7053927761082 5.88500751084514 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.493266023300452 0.410444593901166 0.844150893313395 0.457393422613598 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.236545680486477 0.192283944022753 0.170835458551981 0.107722118562302 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.146723536840738 0.122890549223019 0.0597759151486878 0.0490627193785449 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55431644573804 1.36209542499503 10.7249604034511 4.65314868494606 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.483830820017109 0.392296213048614 0.805035233469674 0.407615933215868 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.235063332417302 0.201081266107888 0.173273160136531 0.109373762496668 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.143672209122098 0.131858866583619 0.0619398445653863 0.0466083974588335 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.480750149416535 0.318446499061795 0.728592142385573 0.274317240540839 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.190744996288844 0.131611315958444 0.102769059700056 0.0517787928290174 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.106893588892482 0.0761029827920431 0.0314303645930817 0.0177697401597636 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0697285520922759 0.0505022663592755 0.0130241507918539 0.00792687835654454 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.287686017961763 0.231819119602265 0.266508286256603 0.152027475433967 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0802330831959234 0.0644385661155167 0.017944785827371 0.0131883232514781 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0398648896446292 0.0333579370905188 0.00395822958784584 0.0041127020524314 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.030123211246032 0.0310321641276951 0.00204102528092674 0.00574549480228196 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.277270830035764 0.200034847062829 0.239202153964698 0.113212765526947 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0800330822346509 0.0622801401491425 0.018135355792462 0.0113569364829927 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0401388101186384 0.0339865534015247 0.00445139228797293 0.0030709476133394 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.02790380989409 0.0265111590347375 0.00215265487440705 0.00164498020833373 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.91040247351465 0.679220333723959 3.00772173707335 1.13058114356656 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.378988487977294 0.265462981101401 0.432542770593547 0.200003310635143 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.213535516784218 0.152418598506111 0.130689404011229 0.0689859585682915 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.139114577450589 0.101017932891289 0.0537435370715641 0.0310349676489967 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.56612109019113 0.472847233772523 1.16681843287485 0.597017933860074 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.160119336488682 0.128706452369693 0.0758526324775325 0.0503223188635469 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0779427321046165 0.0634235538973378 0.0164349479035124 0.0134665475519118 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0517569845637499 0.0469634867590712 0.0063108934969166 0.00973718935880796 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.542419547058282 0.41205612814308 1.02195141807598 0.457691081527639 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.159671170129617 0.12436141776952 0.0752698497708006 0.045008634525132 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0778368696548011 0.0657243476861615 0.017246757825042 0.0121905056153598 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.049668232177026 0.045316374107748 0.00680191047151545 0.00529396065136596 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.7190637912538 1.45961212779312 12.6187417300344 4.64029620879632 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.736503269429418 0.549216963309681 1.8224448443886 0.789412736483097 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.423721528622622 0.308152646968858 0.554278739974577 0.267313742357404 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.277448185508951 0.202701773511253 0.226688823845393 0.119924782271113 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.10312151268059 0.974631165671642 5.12641046736693 2.37912362012304 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.318902651584939 0.259505612513798 0.330164313270458 0.19524441413368 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.155163960124431 0.125577193707145 0.070402129338654 0.0492591221940908 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0969745473540606 0.082832636633124 0.0246889079092222 0.0246239755643739 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.04387252061579 0.864175365997479 4.38565787066223 1.88155539027879 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.317801218537921 0.250416705867799 0.323408238315701 0.176945835878918 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.154784286073961 0.130481365970634 0.0717015920904173 0.0483832691478959 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0949907529293887 0.0864111448609006 0.0259742184544691 0.0204808362314098 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.9911575569321 4.74031506454643 123.482938143231 42.955139861835 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.04326827379139 1.7910273877574 17.7141554537797 7.06269959750967 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.19817481206167 0.981741434494508 5.41903599471947 2.35556430796634 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.803434336200692 0.630581649944669 2.24188664933566 1.0385756593313 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.23535274108533 3.05948640085588 53.1706156033788 21.5801930103932 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.944227520709769 0.819743790650349 3.60281617518551 1.79184564054647 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.468735110216067 0.386062946954432 0.773344220995645 0.427107446321263 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.286932372360628 0.239153664768535 0.2636601746393 0.172764695103949 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.00057607076121 2.77594715700823 44.5598361218246 17.763715341289 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.92512325319882 0.780046217029189 3.37055022562227 1.56937454737385 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.464127226214563 0.392674601628889 0.758771761827278 0.412643210785764 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.283455619168173 0.254552711834563 0.266400426488101 0.173927114924204 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.33081374815877 8.09629220055518 352.748053070103 120.233728069422 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.32725396294761 3.07187552445436 50.460401451177 19.4543474699224 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.92165860562253 1.68536646062591 15.3974787491329 6.42162851938564 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.28867725190112 1.08124306718253 6.37151567516504 2.82422475358419 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.45940350263324 5.25492640569438 158.867570963242 61.9710677131219 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.59486693586788 1.44575298559426 11.600709055276 5.33131106774777 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.797557567585594 0.677982965065835 2.54070474252613 1.27349874086725 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.48955944394103 0.41189701556929 0.871163665007399 0.494365953490006 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.04995489697794 4.82077417620285 134.203166234669 52.6871518869014 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.51812201540684 1.33715484139559 10.1368688878845 4.38494614195257 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.773322505175897 0.663670828872633 2.352319671681 1.1284000151212 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.47719914620972 0.42598537686257 0.840936420372421 0.469360567059908 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000260335035407186 0.000723403197886102 1.25822863207611E-07 3.92648176682097E-06 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00104524321260636 0.0023916799209783 1.6759123534643E-06 4.29788535317991E-05 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00230130195408578 0.00506850869182448 7.71734265171035E-06 0.000193560415301184 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00409353751464761 0.00907312214042954 2.32143245184793E-05 0.000588611144931185 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00114770856037745 0.00413344796507478 8.15493861410835E-06 0.000101139174117112 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00514185044787565 0.0168020785811858 0.00016529849422061 0.00169493724693235 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.011248053152852 0.0357308794794659 0.000791834086472231 0.00768270544766162 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0195688329237203 0.0607908932269473 0.00233457410152399 0.0217998253357945 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00243939412739364 0.00185628804476806 8.8741430496021E-06 8.93583028765466E-06 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0043408464595942 0.00605417924307933 3.62609061401457E-05 9.37068270609659E-05 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00807683601934374 0.0130776799201927 0.000137012191665404 0.000428735639207694 NURBSSource NURBSSource 23 232 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0132165590189332 0.0224723686830898 0.000377815209122038 0.00128881205163901 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0510761370176715 0.11680645881165 0.00946389203829452 0.0482921205521224 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.020995631592539 0.0494426526340367 0.00153158902890215 0.00898346596908721 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0119416523053415 0.0279900343779689 0.000456058995666984 0.00307360316828737 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00842155969146519 0.0198081789187709 0.000192966047477826 0.00182246235262965 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0307033119808756 0.0644551794291812 0.00357948600917906 0.0142067156932683 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0101327306656689 0.0242640862309948 0.000500399464187003 0.00293808543993865 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0120502287178478 0.036686185905091 0.000881138859706274 0.00795771408255849 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0197595455865435 0.0609751906525498 0.00237280402689464 0.02190008205734 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0263738479921623 0.0599131181568895 0.00238879922479662 0.0125068009484725 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00871977945604266 0.0184971224877189 0.000216494782073943 0.00103766072694568 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00880319791627801 0.0159621481386621 0.000182560293367138 0.00063714190309438 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0134110311374049 0.0233493060036038 0.000400029882840154 0.0013813513535023 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.102452109689576 0.233494524145007 0.0389795171986766 0.190591537000493 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0419946205677966 0.0989344061471641 0.00625415846603992 0.0354138639490913 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0236711228060339 0.0554902100212553 0.0018930298741297 0.0114467085419886 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0157605596326241 0.0367007354969814 0.000762974917235826 0.00540493994622529 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0613817239947744 0.128894680403446 0.014333029130225 0.0555245741855342 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018473533767614 0.0389749911856204 0.0014650114641698 0.00655145849419604 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0142224698528351 0.0396584520027504 0.00115478827800645 0.00891511409264483 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0203887485476405 0.0616860980821088 0.00250348362748755 0.0223293345513441 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0526920902256631 0.119894265230996 0.00990247861161881 0.0500348641618578 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0161043737481266 0.0355906309122592 0.000818721533691097 0.00405157178498556 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0110317469483922 0.0221680162211728 0.000324555373544918 0.00130839074053394 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.014034898252382 0.0257009583905443 0.000461485829156732 0.00166253118852797 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.207810132692512 0.464080479339155 0.168174477584033 0.735048611272678 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0840403723984315 0.197953440481546 0.025641586821295 0.14021875787154 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0471826751041522 0.110949442335788 0.00778073869462014 0.0445958026131047 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0309382221282332 0.0720706394185411 0.00316486742066642 0.0194279531165836 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122733315980771 0.257656588863157 0.058512546258841 0.217473489294601 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0359668253945694 0.0735027019690088 0.00519593347671887 0.0205337490583222 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0211385918091437 0.049862459853504 0.00224103969406356 0.0127345374146876 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0228735545171468 0.0643813762348751 0.00304490262802967 0.0240107152574603 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.105620447657268 0.239436807617617 0.0414767043626552 0.198066473662674 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0314605949884678 0.0704935104282146 0.0033589592791917 0.0163519067412195 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.01772717699714 0.0378716534253451 0.000941392172163662 0.00416228429475081 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0164950522409265 0.0327056210365348 0.000709440469413185 0.00281024983322449 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.733421634319462 1.27715723516525 2.58468569004358 4.7738614904258 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.261277956624562 0.583866462454807 0.267599781169661 1.16166528724314 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.142268242413285 0.331668016534811 0.0744332306333012 0.387054210870668 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0923628807662879 0.214928433481758 0.0302003283473417 0.164311077572688 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.381462014914306 0.75832113905236 0.62654082312395 1.75699126344919 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107229167964648 0.216866588948946 0.0451143873780842 0.16238289563121 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0560526899997338 0.113043960546277 0.0133979240159683 0.0515392789537712 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0428105569573061 0.0915128047573593 0.00896333335571135 0.0427759114234142 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.333465181115565 0.700839377732838 0.467552593497178 1.59787332798338 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.093623474388236 0.210587459591075 0.0320549921346233 0.14720482311579 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0491474076433189 0.107425710856653 0.00821593520137257 0.0361310822532531 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0336009104553119 0.0735208609506396 0.00360445234417347 0.0157789262993579 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35264007504834 2.00363664649314 9.46075756207765 11.1116153901406 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.472892448795717 0.93292368898983 0.974724920326507 2.74408527641216 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241884380158276 0.546729097171475 0.224063209867398 1.02256588024549 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.154685616989965 0.356539991834017 0.0872727306060354 0.444171545192899 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.682059477641921 1.22027300885563 2.18887429464121 4.24742266290487 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.179617205402956 0.361634340932316 0.128942690222983 0.438965127695468 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0926648724853274 0.183382544428808 0.035904497883002 0.125972985352208 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0671501290997013 0.132367293163881 0.0208120500749357 0.0796954027440649 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.60530000059184 1.12061675684785 1.70378960992856 3.80295871196255 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.156840892461811 0.349409869236183 0.093565925066532 0.401298271710077 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.081144212513615 0.178238607268012 0.0234760022019599 0.100356751502971 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0534409098339928 0.118808849338028 0.00984051695145901 0.0423698526493776 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.16974977991048 0.367548327030371 0.112572763663379 0.482293191167194 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0681094092961059 0.1571651789203 0.0172172992724806 0.0920836790654256 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0381979689445252 0.0882255300105501 0.00523111111396978 0.0295666718813827 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0250015756014732 0.0577187717217799 0.00210702858266226 0.013145580828731 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.104892264840496 0.204140755972247 0.0441500535104571 0.146536821070289 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0297127640992459 0.0608192190201779 0.00363438115149335 0.0150840143056132 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0188639732198083 0.0456833882919415 0.00184541964042304 0.0114310723756075 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0220856631622554 0.0629686264173006 0.00288656063599583 0.0233665664613963 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0900999435599385 0.190578371640506 0.030990567111597 0.132842514912493 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0259258947163126 0.0574707107639545 0.00231151643192179 0.0112775870694379 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0152721397927359 0.0319187154811518 0.000680435023891263 0.00296823541703492 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0154973295326627 0.0292906006854414 0.000585452649175527 0.00222151716896724 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.362632521896797 0.71083910234182 0.563787714187173 1.67323203044877 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137322524967095 0.313237825824671 0.0725188130024857 0.360083290575868 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.076459588301219 0.176129183086039 0.0216029478804604 0.115613523831295 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0496535455537509 0.114297545884029 0.00875054730920462 0.0495393107306594 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.211329047614896 0.407048324462729 0.186692188312063 0.566859571698274 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0587532336581442 0.118181400225324 0.0138285995660363 0.0527377473446311 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0326082746877073 0.0682071512496352 0.00487156099008238 0.0223415930226453 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0289533334819498 0.0707404417535832 0.00453945994136681 0.0285842449017101 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.182828406828019 0.378529727462042 0.135135989024605 0.512718776714337 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0515610706343321 0.114447464869661 0.0096340118539325 0.0453086426355799 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0277596393602418 0.0597894395495345 0.00250231506235761 0.0112026487739317 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.021418360841152 0.0443511010003896 0.00127004987598745 0.0054430362598877 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.818005108877896 1.32529361002119 3.3323617205911 5.25807339010845 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.288316936236079 0.611319105614726 0.344006344164411 1.30242496561531 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.154386806646535 0.350260407194158 0.091699059843272 0.448661925509472 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0994774312500629 0.227394719162583 0.0365625048116186 0.191530955637333 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.440782829293271 0.797634535232941 0.887843894418817 2.03419524300792 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.117577070833796 0.234455547212334 0.0562969664842366 0.198002685906344 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0624709131616794 0.122610869564349 0.0168172141515071 0.0636539635860102 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0478767844541981 0.0981439692188314 0.0110415322964058 0.0496932117381869 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.386373461266251 0.73693381146865 0.665541752909356 1.82845313516594 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.10354105193898 0.228085228048717 0.0409403780113134 0.179130903306301 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0541388955259445 0.117588249502858 0.010308825149001 0.0448848639380593 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0369305346517621 0.080326138221814 0.00430923181024881 0.0191147939049197 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.92838026050468 3.57270504570077 47.2536268327846 35.8560675717346 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.04967356738546 1.62920076489772 5.66309084144149 7.99960504382668 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.52301771405495 0.977464696106183 1.24246041253111 3.09191691931194 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.314538397892924 0.658002853911131 0.405233283776784 1.49058226718223 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.58199473807818 2.19207439120224 13.5573982441022 13.8582138760541 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.371677752884443 0.698078865197915 0.644558350892572 1.63275821825694 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.190758652524912 0.356835655859075 0.165720351623528 0.482314967354437 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.13714117555125 0.248184913012451 0.0889452949457718 0.262634026174954 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.39433710756662 1.99860584383717 10.4572234889724 11.8769180792978 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.328454934696935 0.666881686382547 0.473758578625559 1.4392133102803 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.163347991535982 0.351491114984649 0.105663094281715 0.399037116370694 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.105836344429518 0.233998713168521 0.0420544798112989 0.168858812608077 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.13746319765737 5.79045061067948 146.727395449001 94.1396635822709 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.88137493509864 2.54620418715406 18.9224135002308 18.786270723968 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.946759393538088 1.52056387747024 4.41858745398821 6.96095942908106 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.565679830576792 1.03197622630032 1.43622956215792 3.37306083865541 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.9233551690032 3.57154382311627 49.6452784331175 37.8368347701516 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.684518164656013 1.1548224130832 2.63883019159319 4.30616016845643 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.339607568594228 0.597158092820357 0.641418068365358 1.29306880643603 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.241868864589191 0.41088084565713 0.329424790097229 0.669650462286049 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.54209572640597 3.22742971710369 36.4102911869582 31.0679763816107 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.597778523781806 1.07663899768603 1.7480094239515 3.5055680386568 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.280910757687943 0.590680318418904 0.34115672827517 1.10706858181737 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.180501615134506 0.396311279865763 0.133265487191116 0.489015944240868 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000153763266132173 0.00014533493959932 3.56934225220034E-08 7.02605692608051E-08 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000511844160707398 0.00053361458079297 3.82984509281751E-07 9.41980645324097E-07 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00108300353578653 0.00113668715225999 1.70152837821172E-06 4.27400240949695E-06 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00185868046020913 0.00197317742683786 4.58471826169373E-06 1.37570063354864E-05 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000365108586113417 0.000581627452283209 9.05904051707645E-07 1.60284983507144E-06 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00156670044390003 0.0026789742977337 1.75847347121738E-05 3.26642297810233E-05 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00339117331260423 0.00590387275416032 8.06244134916809E-05 0.000156517399570423 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0058143469352957 0.0104665113247803 0.000227345902077065 0.000488228379028986 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000982799379066222 0.00100331684514002 2.83169246027121E-06 5.22279764501056E-06 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00199574035437598 0.00233196246783331 1.91430109115636E-05 2.19914606054425E-05 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00422835391821028 0.00513135978004017 9.05608992132607E-05 0.000101924770219852 NURBSSource NURBSSource 23 233 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00721568739812174 0.0084664936576943 0.000246357017892581 0.000275215236128349 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.089775626061608 0.0307331190058387 0.0213148494506194 0.00269177882722526 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0382032356913369 0.0122549647394223 0.00379747448517248 0.000447097066115019 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0212477908894847 0.00696458299831841 0.00115326991808005 0.000147863147536984 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0137846742544465 0.00488401750782651 0.000464511839764068 7.65073332021889E-05 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0463313916322423 0.0192916460572501 0.00566827808050906 0.00105658984801209 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0131619752739275 0.00600467721110261 0.000448652558553263 0.000114621250202549 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00755705086482838 0.00654084938468014 0.000183076532767144 0.000176590304297608 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00745818378154419 0.0105376508686924 0.000268883049008387 0.000492756136761511 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0464056903044432 0.0180488289397011 0.00567197000667252 0.000959727240031958 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0132959224898484 0.00590332674287089 0.000457005931033739 0.000106749679479387 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00795428493737715 0.00599776481433529 0.000191089493747017 0.000125632607674941 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00848388442187082 0.00869075638887799 0.000284190580606127 0.000285115666231517 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.176200466415184 0.0647493210114598 0.0843330028799325 0.0114106463746167 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0761746416970029 0.0247019230911349 0.0152771181458339 0.00177925575654806 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0424253533844879 0.0138101506971746 0.00466804633409488 0.000570056658281094 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0273696310159174 0.00917314156798671 0.00189548794266344 0.000259892609252109 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.092285094674428 0.0389965154903985 0.0228225279150505 0.00420247056409885 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0258350014914105 0.0109793053666824 0.00173605834767459 0.000359412756436965 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.01318097088132 0.00804190858437831 0.000471417264424233 0.000237828127098679 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0102202083645492 0.0109724453781528 0.000376012976968001 0.000518435994906262 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0923563551484757 0.0364639250716316 0.0229170884143653 0.00375284389469981 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0261538874257752 0.0108001952498642 0.0017832193402617 0.000348257723562474 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.013526382499239 0.0076963651718017 0.000487341492821824 0.000189371769302936 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0110486123518563 0.00932886490657344 0.000393253250079059 0.000313921636691368 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.332966010872207 0.147989554107853 0.321893819424398 0.0550441735692008 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.150211600489062 0.051403053486956 0.0606176945924561 0.00744377289349507 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.084503859243483 0.0278405135201578 0.0187875909692239 0.0022614533497855 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0545676230448353 0.0181209557960302 0.00769345556569572 0.00098310493540052 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.18159799912066 0.0810112142382757 0.0910034866979268 0.0173446827353754 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513100152972349 0.0215077937325447 0.00691248811616837 0.00133245013007367 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0248826994496989 0.0119903270415273 0.00161256260223514 0.000471789507388641 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0166388156514371 0.0124636816026974 0.000787978635507788 0.000617005536110839 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.181016560791746 0.0764181614574669 0.0912315413191053 0.0155373176637775 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.052018734662026 0.0210654143534076 0.00714083543712261 0.0012954700088993 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0253078298789624 0.0119348756485571 0.0016704948608247 0.00043104347441527 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0174264110322464 0.0112283916880772 0.000823775763334657 0.000420410956192136 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.849137843558854 0.585500552613476 2.64429282983863 0.703359919728377 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.409778951606501 0.193365044671166 0.502294947729148 0.0940885597621376 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243072208305336 0.09345211220755 0.163352138855521 0.0237117592832865 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.160692316286342 0.0568489444456948 0.0690727324417195 0.00913675279588469 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.495573372243577 0.291543247784786 0.773742406348529 0.197062439919767 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151867990370043 0.0660032706999398 0.062324516539813 0.0118780147614898 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0726213304519758 0.0317672442935297 0.0138510538151007 0.00295021069406927 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0445194294338209 0.0224065924469156 0.00514156112533242 0.001655427628978 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.488277434214835 0.283186261027915 0.772498990793028 0.185401680230398 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.15372635098608 0.0648144437724865 0.0646784919081626 0.0114914934277716 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0736756024963031 0.0318365285195004 0.0144833699808531 0.00291690503163638 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0460829543455251 0.0219317285545176 0.00548421879487595 0.00146149664054406 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.33290176754585 1.06848930532966 7.24310100632554 2.15301782396315 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.631203431329681 0.370863326890604 1.32266198883907 0.316662745017388 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.38403134702025 0.175881976184416 0.432808068378844 0.0794065127330123 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.25930036835898 0.102771375773123 0.186083361911448 0.0285546908338965 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.774068951708918 0.539056167929655 2.09908868209638 0.619749195411934 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.247967609277334 0.115677025525598 0.171054369364418 0.0351249780187016 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.120296160886304 0.0530532677823391 0.0385203363347948 0.00792431749012886 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.073106488528681 0.0348027859959862 0.0139444448250895 0.00372368068015187 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.760785953347879 0.52661162810294 2.0985938749786 0.591878291618167 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.24941095121037 0.114680970770283 0.177112234306719 0.0341874079058507 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.121856808951513 0.0531436872784114 0.0404237484919631 0.00782907408925856 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0754219898174656 0.0345072540594844 0.0149969694575883 0.00347865464316573 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.268745246723414 0.111485171622638 0.209780545082879 0.0325640430367214 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.120023720927361 0.0396288322857084 0.0393928260513967 0.00450179048879144 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0674129922779197 0.0217628436739617 0.0122080418125391 0.00139995391221523 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0435098055245756 0.0142707875696784 0.00499219165441207 0.000623510896523166 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.147342799034644 0.0618319278113112 0.0600320808745014 0.0104972651647625 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0411099327073607 0.0171568255423356 0.00449409491477843 0.000861688641689113 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0203493503133178 0.0103873206865335 0.0010941934888155 0.000364470125283898 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0140659779033164 0.0120032328125836 0.000595946696039947 0.000591351538621035 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.147350814626826 0.0589432656850815 0.0602364947676672 0.00954915226660876 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0415498268357628 0.0169738856585344 0.00463548340689991 0.000836809921508478 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0208730148241275 0.0101117135523847 0.00116374617520263 0.000317987954581688 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0148673012901132 0.0103704705280818 0.000640147072762618 0.000372360750671277 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.491245671285929 0.266897488188124 0.784314347902727 0.171032373547183 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.231446821934849 0.087523928363979 0.151969778864955 0.0211543729227465 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.133226205327232 0.0449921441285278 0.048549562175374 0.00579706262857293 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0865907355132292 0.0286554259824343 0.0201459364034153 0.0024273835708753 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.283968870034355 0.134387017262417 0.23420689698318 0.0468459659215858 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.081819437562607 0.0341112398603993 0.0180559779830837 0.00331217928313701 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0395101422438688 0.0176073588943659 0.00413002574104523 0.000959177250005258 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0249816227967268 0.015226308971356 0.00167187845968103 0.000859583526355571 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.282505391145923 0.129741016735634 0.234606446319868 0.0437090201416444 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.082618102975965 0.0339169930743383 0.0186547659139746 0.00322459824210832 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0403616319752597 0.0176540137243966 0.00437718858336707 0.000931942599052087 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0259196284778046 0.014017097782618 0.00180165397880639 0.000636323070770895 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.886386976806486 0.629063284661091 2.99109774487951 0.842860360628568 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.427946279418352 0.208709210042522 0.568191748421621 0.112655420434911 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.255622893451067 0.100367509733478 0.186292858343603 0.027811829082516 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.169808467930467 0.0603838284396776 0.0793764541530329 0.0103822009471047 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.526636941844935 0.310436392747508 0.895821925774407 0.228055390824904 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.16189164674101 0.0698636614853703 0.0722790801527301 0.0134339925756623 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0781700540311544 0.033610724115656 0.0164104479931115 0.0033075988177329 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0476742952510396 0.0239468585929577 0.00601213351997131 0.00189099404048319 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.521048758823608 0.302889272398237 0.898784034810772 0.217755405508484 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.162697212340679 0.0701593242806978 0.0745205836936047 0.0131359963340796 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0796322918921276 0.0340908457750546 0.0173696254018286 0.00334492886615777 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0491258111781275 0.0232280336610907 0.00650586339309903 0.00165151601383868 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.43105398957216 2.18788658881531 26.7229407023399 8.84684196444605 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.09357609374573 0.806006266814929 4.67128067895579 1.41270027343084 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.663419070359889 0.397877157702378 1.49376924450895 0.38192180869349 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.457344763163863 0.229657648010291 0.645258474451877 0.136682407017292 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.40411983912391 1.14517967938925 7.93347971386304 2.61482247441734 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.452946715609748 0.250605158169729 0.627232782773237 0.157667613226046 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.230213347572167 0.1072319947567 0.14917559598233 0.031077493817012 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.14077481051296 0.0663827414067586 0.0544557070049882 0.0127551779613818 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.37984829072776 1.11522504969308 7.93673697985165 2.49248032459054 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.446713583650418 0.25239247471845 0.639868362401169 0.15217673041213 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.229641503974166 0.109225270240731 0.154454542921739 0.03103678939526 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.142671843263144 0.0663395655108858 0.0583902758653335 0.0120579383143698 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.00422979868609 3.76620307337852 74.800596413031 25.2369598059305 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.72512800298222 1.43320971837158 12.618417364848 4.1509682058985 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.02345565734168 0.730797849352646 3.93665046788293 1.18258515457247 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.703437410712696 0.431341912080219 1.67544830271292 0.443710472134137 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.30419071214588 2.05326734926488 22.9874546158671 7.9739708229728 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.724638641903227 0.476508089418784 1.77718866031805 0.536335409935163 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.376108656407936 0.19976816576685 0.422811977203202 0.104075992183994 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.234172225783091 0.11734203813953 0.1569286316481 0.0379475260565319 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.24365715318972 1.97366210220377 22.5954420088742 7.38923014479069 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.701129876741588 0.466658974658909 1.75325620902467 0.482299152634252 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.365788671155184 0.199060737372212 0.422575530738996 0.0962389762372536 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.232179939526098 0.115889698618143 0.164000634707779 0.0340562687595001 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000217152670161546 0.000395257337850981 1.01427749397161E-07 4.5759585482662E-07 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000737497785438182 0.0012618716249101 9.2982936484279E-07 4.91273917901269E-06 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00157166510934496 0.00260405904779997 4.02934281489152E-06 2.08359861415617E-05 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0029352061440961 0.00428736204071207 1.52908249387879E-05 5.92168392976638E-05 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000574801550635543 0.000558048183138826 5.24077455236516E-07 2.08360899876726E-06 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00251259027426559 0.00263114291423177 1.02311301073219E-05 4.78704458785876E-05 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00545240384695002 0.0058456474277085 4.82991870960227E-05 0.000234106735704165 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0101951876507329 0.0115699639569272 0.000199046448759865 0.00100306199440012 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00133285654773573 0.00211209982022616 4.44477145891075E-06 1.14441937548899E-05 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00128170430902529 0.00443043635574626 3.83768770256816E-06 5.68005489011389E-05 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00251333142663884 0.00896131117573505 1.68113368096972E-05 0.000241122356501736 NURBSSource NURBSSource 23 234 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00401391746989229 0.0149793347929393 4.14375302109302E-05 0.000669534823964564 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0985607600676892 0.0391926652682887 0.0265234763322749 0.00448882262203805 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0426410134154714 0.0156690537157123 0.00485964248612208 0.000720966680792373 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0238174045500592 0.00918470852027602 0.00148094931475164 0.000230738585135619 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0156041184324428 0.00741764891564908 0.000597347190121113 0.000147371075269488 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0513162832528149 0.0239786280946212 0.0069209178669827 0.00177441591648967 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0146004915128621 0.0071876378660441 0.000513427913441124 0.000198642403961193 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00903070433781544 0.0068427181526234 0.000154053924618819 0.00027709874307144 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0112182228950884 0.0118206261243764 0.000237478406859918 0.00102765221380826 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0510172449510611 0.0232489398448222 0.00690031096550526 0.00172231465124883 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0145802633448213 0.00794925312926056 0.000551806895590316 0.000170414767612594 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00758572195968145 0.00966459726168097 0.000144318502463186 0.000265361140406314 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00603439161091494 0.015126704218124 8.72923890250023E-05 0.000678163100802616 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.192134196690867 0.0832334839537542 0.104086874553779 0.0193438360813459 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0847734234467296 0.0317570863698718 0.0194884682403405 0.00294839649164972 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0474890779952309 0.0178263746102831 0.00598855796793193 0.000901076735454128 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0307066716240271 0.0123712072459341 0.00241650207208803 0.000420983217960827 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.102161399924896 0.0484046048401189 0.0278856715675003 0.00700695185708003 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0288064273361591 0.0134723529679074 0.00208857980517625 0.000613853684777949 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0149905143197553 0.00892652003544578 0.000488207014854889 0.000390937962913952 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0136584012340017 0.0124651156492876 0.000354511216800819 0.00108579018908108 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.101546466103862 0.0468721317640055 0.0278001375673136 0.00684853615998766 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0290474133384785 0.0138314557017838 0.00221495561632128 0.000534695667120461 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0143603823853317 0.0113619047953078 0.000527631458428451 0.000343242101337179 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00965569499478098 0.0156335263589863 0.000225960449425669 0.000708589693088747 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.36203186135633 0.188248683706106 0.399285725967993 0.0921945647492601 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165965977123189 0.0669819449518605 0.0766807482810199 0.012758416120656 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0942731172879506 0.0360050860394442 0.0240297910377945 0.00370151931260313 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0610029496594317 0.0236178514009596 0.00980277217083144 0.00156640236153642 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.200608522246202 0.100467346906851 0.11090855419231 0.0285569371092477 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0573333288716263 0.0265288407335733 0.00850538396416313 0.00221449944934456 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0282309711032927 0.0141876265774613 0.00189481516914626 0.000807301444578012 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.020348315699257 0.0146252677142112 0.00084461552032101 0.00129515483902648 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.199082898143614 0.0976351233764265 0.110443897048666 0.0279611073350172 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0579758006538521 0.026713942281452 0.00892664155564904 0.00204396302864489 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0282515537533116 0.0159314322252183 0.00207304873111094 0.000664542911242456 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0177209400306694 0.017442890646794 0.000786700274377721 0.000835035093654185 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.9513796492549 0.697608749695807 3.435259705464 1.09455636228837 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.451457436743522 0.246665066714097 0.644131415809498 0.157909616432122 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268117574331231 0.122002426830422 0.207194627338551 0.0407770007825275 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.17788971448373 0.0743986553258554 0.0872298432724394 0.0153783932441171 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.548362683490814 0.353407415541286 0.953142574717656 0.303970548260453 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.16947492972512 0.0816858507148655 0.0774555988509255 0.0193501021207515 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0827927842265993 0.0389624594900157 0.0175918222898987 0.00494194617544038 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522794680593953 0.0273778635109019 0.0065047291659306 0.00316436106117023 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.53938493737796 0.349441825922733 0.944777607701742 0.299272563853595 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.171068456231495 0.082072366977915 0.0804785252464466 0.0188923053345678 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0839390619638197 0.039957600342899 0.0187628025742483 0.00435430624581509 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0514879741430586 0.02927883861477 0.00690085259273038 0.00225100243422934 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.50981885090411 1.24795190434861 9.52548115895354 3.27961820098117 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.706135354469549 0.456288390949519 1.74164145354729 0.508289214556224 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.423470432847344 0.226013124782592 0.554389579736496 0.133564370008623 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.285848520466196 0.133973681942773 0.235196871197944 0.048559137955489 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.866635272280113 0.63745053597931 2.63777359428429 0.919534827264987 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.276197378992622 0.143279558811708 0.212855922801239 0.0567442472029855 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.137166363023934 0.0653239010320939 0.0496229807221498 0.0131329293086503 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0857814795788798 0.0426044400963841 0.0183728470289695 0.00666032356237465 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.849693768327631 0.63176030459676 2.61338366488427 0.902900523631785 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.276742898398606 0.144612306077704 0.218754054880532 0.0557616247639033 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.138711091311548 0.0665759293102065 0.0522234513659492 0.0120634786147578 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0853764089074276 0.0442395631555459 0.0193059451201499 0.00520864594070172 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.290657082734685 0.140779106893884 0.256696840675589 0.0551683634570133 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.131610044910953 0.0509356576174534 0.0493632967308871 0.0078130888624045 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0743173055851725 0.0277589490219906 0.015409904822842 0.00231725804504406 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0481217830935938 0.0184846578224304 0.00629423846282485 0.000997270093091333 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.159868239252053 0.0780656351305165 0.072408798060762 0.0181504224270063 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0458554033554132 0.0210930884598794 0.00559282938948808 0.0014727436608242 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0227797222227555 0.0119601991830487 0.0012553504190682 0.000598202446961858 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0176058770628831 0.0136547594470393 0.000630342745233519 0.00116502183629886 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.159281593807047 0.0755176991526496 0.0726923800506367 0.0176079072065606 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0465318101708639 0.0209452338878919 0.00590087271465741 0.00132331933970159 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0225980013873122 0.013949489375853 0.00137689980626407 0.000514814849664616 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0145566713029241 0.0166642180432903 0.000547006706295621 0.000784628296251843 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.534949281520417 0.326847194852819 0.980345125134177 0.273011174920587 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.252219416608499 0.112673581941676 0.189497098269186 0.0368274375392928 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.146044955486067 0.0577941424535562 0.0607882660632889 0.00994455839412605 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.095322088206592 0.0366427982306593 0.0252707446779858 0.00400031451089681 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.306259621235351 0.169625607808351 0.280040659092356 0.0804745688218807 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0912971243435633 0.042126856537362 0.0226392525476432 0.00563044057777363 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0443934839421863 0.0210242956526283 0.00506388839447186 0.00159513142089769 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0297044810724513 0.0179528405971674 0.00200794623546954 0.00161960503877005 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.303595780497785 0.166049292619389 0.279890148124752 0.0790853439380168 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0925819221456052 0.0415124625228056 0.023691265050812 0.00526092228704627 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0447956781272078 0.0223152405471545 0.00548225399992078 0.00135904183368278 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0279648391209981 0.0204034528502169 0.00208028470815132 0.00111385525453095 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.986267993447404 0.742930314666615 3.84542502590796 1.28192611250491 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.466482491286533 0.262256923813857 0.717787164106599 0.186732165510755 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.278395632819 0.128799621309663 0.232221009327254 0.0477696846147426 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.18560033142368 0.0775835637287674 0.098725669389504 0.0176896903262049 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.570906728286198 0.381016340668879 1.08570780860376 0.371338074927024 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.179905541718814 0.0870145806492908 0.0901296219423996 0.0229668895739829 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0880337546539322 0.0406097970131585 0.0206464443285728 0.005457533227694 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0561854002140775 0.02855519874488 0.00782263437570373 0.00328715553415135 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.562772226630179 0.376408454730205 1.08447208471905 0.36770714880634 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.181712663451469 0.0859350182355677 0.0936070084052592 0.0219697359362065 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.088934998068236 0.0415710694553807 0.0219536877680103 0.00486997762112079 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.055213800140361 0.0301549044682496 0.00829036755562458 0.0024362422846485 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.75478014305958 2.51153284515954 35.1117408572983 12.8790503213504 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.223711290446 0.95737398167813 6.1336884108263 2.16022492880162 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.730026713497258 0.484440112429381 1.91955291487195 0.601219737493394 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.498178489019157 0.286592921325479 0.810715635897359 0.221694304135594 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.56064937050344 1.33409577196279 10.015170873561 3.94669640828674 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.501865606212356 0.309303160157389 0.788996370878672 0.260568902636335 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.257968989586141 0.131567169711278 0.188591301588547 0.0516710820026662 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.165613007491879 0.0786549885761707 0.0741009004719607 0.0204496566369828 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.52807279499246 1.31128590926534 9.93191071283022 3.8568822238501 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.495882361290835 0.305368811000804 0.795567076966324 0.245904301522781 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.255058008243337 0.13235177324494 0.191686511893929 0.0472977994641094 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.162400319708255 0.0803726144406604 0.0751650708519404 0.0174689466063848 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.53956542987601 4.31094503399604 98.5289245318553 36.2681106349674 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.94377848094352 1.68000859739977 16.6504725432933 6.21592487307568 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.13820771866212 0.86871487405202 5.1154414149177 1.79845864982675 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.772414066446202 0.522701859646012 2.13259403962756 0.687494621407836 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.59126672864327 2.36589560120313 29.7139042920139 11.8492491259398 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.80943425604112 0.580539182506754 2.2868680643883 0.863018043021489 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.420907690337245 0.247239803114162 0.540581683318412 0.172396689506597 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.274357226105922 0.141713162172758 0.21526452075247 0.0615292113308089 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.50123727184709 2.29485495534953 28.5214858461873 11.2341170624039 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.77942849438642 0.555355470353693 2.18046261355221 0.756289519655291 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.404568242475065 0.240131641320418 0.519842679739493 0.145504745507189 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.263143320151903 0.139959519256087 0.207332337067878 0.0504917094314345 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000347348675477444 0.00014698965648216 1.99080888372623E-07 5.31264301775302E-08 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00101966488974896 0.000452454256535742 1.89513057870932E-06 4.69782331014166E-07 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00210682804984776 0.000945991115997197 8.28416220972237E-06 2.04597599792018E-06 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00367417088785279 0.00185272299226294 2.52195174274866E-05 1.06565988803947E-05 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000593104106927329 0.000214522217494607 4.7498295869715E-07 1.42519812541115E-07 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00223915119344777 0.000939756470493856 6.54825468016025E-06 2.83827085427277E-06 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00481758011873153 0.00208448238394639 2.99995591134746E-05 1.39259917566293E-05 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00899684045218755 0.00517814008756895 0.000123139264543941 0.000139639439261581 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00122930877143219 0.00101162882940813 1.60605914308004E-06 4.65773145721402E-06 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00220300711308594 0.00155874332386145 9.04289477157194E-06 9.0485541752847E-06 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00466668111146641 0.00300596534078648 4.85273606358187E-05 2.98227808811218E-05 NURBSSource NURBSSource 23 235 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00842628458344804 0.00491303332867069 0.000155448252883527 7.97527929455953E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.095502455809104 0.0367908597688449 0.0242032443919779 0.00362066696062932 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0405270278393847 0.0149293032995162 0.00430938864232281 0.000619244165520932 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0231294931797269 0.00831790792040029 0.00138368321115122 0.000192007745657723 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.015445202568916 0.00575686459958649 0.000597643805591285 8.98545559965805E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0644908695723466 0.019727534390393 0.0111313440610738 0.00125080245603133 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0180941172319597 0.00555738860354124 0.000795161072713151 9.68146465010389E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00980612371005309 0.00338926910521384 0.000171167260315105 3.45599256489168E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0105602554630836 0.00554982737133667 0.000167913955429266 0.000149794952496498 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0572942420597031 0.0166031275729104 0.00862247904002769 0.000916474532434082 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0169599750329505 0.00529742295319709 0.000748711983655641 9.60851383948737E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00938394377295134 0.0040929071496605 0.000228567947578079 5.4061993426647E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00975203907908096 0.00530899453803111 0.000223744187373259 9.14054546600999E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190214781689606 0.0743910710765573 0.0974104267589039 0.0142160191801955 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0809950490739692 0.0299010774469272 0.0173407196822669 0.00246230853641937 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0461704143649921 0.0165705619517367 0.00557945577847441 0.000768326502571133 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.03040594173199 0.0109428899951173 0.0023780513355916 0.000333006167100398 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.128550035205279 0.0398618323557306 0.0446825889665308 0.00492691211183052 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.035964713021217 0.0109565069725081 0.00329996749355848 0.000380306475150402 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0174674287742779 0.00562741226326147 0.000658637062469183 9.65451609563893E-05 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0137214654708948 0.00639464995967349 0.000315345874490508 0.000177123851615556 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.114374684089342 0.0333242048884298 0.0348065845450635 0.00355114750016088 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0338075685779666 0.0102247952128399 0.00302592771054907 0.000347242428725091 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0172242694456505 0.00616056546482046 0.000786475974482685 0.000124200991217817 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0133755912207531 0.00618892442948826 0.000445544016818632 0.000123558874040379 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.373654747434164 0.156004276118495 0.386762835350028 0.0585549033874792 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.161501126972606 0.0602940979020892 0.0696414216767365 0.00974637989886056 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0922295816164889 0.0332034438774721 0.0224648511061671 0.00305776316248911 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0606087394382829 0.0216311925846434 0.00959290351464027 0.00131273550294158 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.254305536496011 0.0824702056262895 0.177774505712993 0.0201618628334884 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0718301648189917 0.021829943212319 0.0135105531514655 0.00149770312118019 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0338352760602734 0.0105508650837925 0.00275710999098818 0.000347396449114933 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.021929883605983 0.00880157223343674 0.000965327267636688 0.000283137237797123 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.227114930812694 0.0681866107301441 0.139458690755038 0.0141391549947862 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0675206585507072 0.0203522767234909 0.0121941575989455 0.00133619297080516 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0336902685898258 0.0110324278861972 0.00304696630231044 0.000397048252035137 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229571380536266 0.00863802774909264 0.0013652524780816 0.00024525017378838 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.00048520573918 0.590011193211721 3.19922870055966 0.704534588260193 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.469519742921096 0.195994714524959 0.612468294512873 0.0950356997772752 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.27356763194776 0.102564631554304 0.20204707921675 0.0278789108276664 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.180768952706152 0.0654982303030209 0.0870441913482746 0.0117472927314021 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.697822695550851 0.31200490090819 1.46845680806279 0.250975003675624 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.213243551053275 0.0676817386733964 0.12251369395082 0.0138425194276959 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.100608010829231 0.0311359140897704 0.0263145571838727 0.00301322507491615 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0600084638731433 0.0207525219907795 0.00873728949442931 0.00138316581020148 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.63471168822492 0.250626344885796 1.17035683633522 0.165512340786413 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.200532985156141 0.063126698089115 0.109871092225153 0.0121810739484962 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.10004051286943 0.0323332104610259 0.0273333798683689 0.00328913139232196 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0649618716734631 0.0213227016601876 0.0114003453979604 0.0014907295548928 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55333222833064 1.10544694674148 8.59287594753873 2.25260708230653 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.745773511222583 0.363289232270915 1.62645803903257 0.307714743011169 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.446635770713517 0.180029160151304 0.550176260090253 0.0826099397076895 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.298391326933716 0.111785909809834 0.240374777243464 0.0334046864079123 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.07929067599991 0.603959997890625 3.87895489705808 0.858842078769123 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.349787288447212 0.119102461345009 0.335390999971271 0.0415852286881603 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.1671833883127 0.0526338285449526 0.0741073537870616 0.00850358231305253 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0993374911675457 0.0336816562924082 0.0249999813423794 0.00356201557539842 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.98063573111848 0.494978578293357 3.05974533209651 0.584744367381735 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.328805082090746 0.110942222781936 0.300779010210883 0.0357997826404065 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.165715746348939 0.054933843704839 0.0759950223771098 0.00920365009976289 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.107401735914278 0.0353020490518009 0.0317078313543645 0.00398740721066163 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.307682598971757 0.123308667977233 0.266514253325242 0.038288295202529 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.132458527203351 0.0476605556610376 0.047774883630281 0.00621317774866939 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0755029956920693 0.0262372712770103 0.0153644368064681 0.00192345320791551 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0496356287658291 0.0171968268751451 0.00655825940097944 0.000830722006629593 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.208722321816425 0.0643282664073136 0.120865433211991 0.0122866298974972 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.058617461210327 0.0172976268556425 0.00918740830175336 0.00094796597064908 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0278293650119363 0.00851251896096352 0.00185159575964589 0.00022043547056125 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0187626317156507 0.00770758524505095 0.000682855194620691 0.000226261838942419 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.186553081876325 0.0538481992324539 0.0950059317660693 0.00859399315030992 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0552605950885111 0.0163750035893553 0.00826779506499987 0.000859862564079669 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0280579776983642 0.00911840330584828 0.00212530860656181 0.000266017839221672 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0192671201841723 0.00771714119728091 0.000966345625411279 0.000192232348037174 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.586072032943941 0.275281566052781 1.02110458352959 0.179854988870075 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.261903307689485 0.0983458412788373 0.189554479940351 0.0256251286566443 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.150339831003596 0.053107856117407 0.0615346232873069 0.00778710102815022 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0988897696312422 0.0343669185110858 0.0263783841333273 0.00331723680635447 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.403166507970266 0.142624960761325 0.4631309722881 0.0582518005400566 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.116783674257544 0.0349262370479171 0.0371476994875534 0.00383769939008261 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0549190449733823 0.0166010894891165 0.00771799224492274 0.000854049277470181 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0335418159296299 0.0120024805240117 0.00256999492878826 0.000484628152577099 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.363990018425437 0.116550573990155 0.369615616946963 0.0384988990017746 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110179385789601 0.0329173720582315 0.0332597692853475 0.00335392360172819 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0555195405564805 0.017392263727531 0.00844122478759207 0.000953455028257665 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0359492800245902 0.0125517219173522 0.00349134862552746 0.000512448984805237 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06811903690364 0.654934595495971 3.81973266025755 0.911137611960637 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.505428265569297 0.214976004982707 0.729999272448038 0.118023176248902 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296325483765456 0.110490955385156 0.242742255357673 0.0326831936094396 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.196307370678161 0.0699254334180952 0.105233695743866 0.0135081117119741 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.744142737918846 0.346441435961893 1.71506898185253 0.319810096992954 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.231022133182108 0.0724503385437768 0.147669225721191 0.0159424815076481 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.109289466476295 0.0332863176644471 0.0317162742459424 0.00343119661113605 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0650076239053925 0.0217567232152934 0.010602884791918 0.00153013882590574 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.679560296574891 0.280789594389043 1.37625034514158 0.210507318818729 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.217896641917986 0.0682560507828491 0.132248086023542 0.0136065961255036 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.110314487971693 0.0348163274587253 0.033805770136625 0.00370485517909644 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0705192633563603 0.0234683742168263 0.0137696931509483 0.00175890686007444 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.84171187731668 2.40943061953835 33.0243785110822 10.4519468713091 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.31599588278705 0.842296275682527 5.83021883624366 1.57238460970162 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.812384305011519 0.405260134560589 1.98182736138277 0.413398349259003 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.557837927323385 0.238898334396478 0.887806926418916 0.151328186296676 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.90662670625902 1.38718847049019 14.2077928829305 4.22078823764247 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.642380068095739 0.27614019476368 1.22953397697824 0.218310984700918 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.322541868484718 0.109193837285286 0.287582821621341 0.0351180475645931 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.193812052173147 0.065417660099474 0.101321896702716 0.013220005811878 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.71935213214681 1.1783707017307 11.1238462288884 2.99436431546118 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.606437124358467 0.254736009633634 1.10741329202989 0.175542131085924 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.320428700533008 0.116178610575425 0.299202620309003 0.0373806496897199 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.207889976455063 0.0730453331433274 0.125427642550968 0.0152410704546088 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.63504791253258 4.22740025268435 92.1968159441428 30.6830847060564 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.04267836219546 1.54844220453267 15.4567627282781 4.91206129588327 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.25146623688952 0.768212154547756 5.12099109138788 1.37061919547444 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.872410278479124 0.448260326038821 2.29465147289864 0.508346999563086 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.04387725578274 2.5337061265364 39.7262511526342 13.0758509275599 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01304641413227 0.54707356290471 3.34406231888826 0.804163200324317 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.525777414909573 0.208708318207019 0.794158097634592 0.127436329786125 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.322864320456546 0.117638984622276 0.288935648351693 0.0416810009641828 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.71519425483731 2.18203731683604 30.7603548420444 9.50062638475901 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.943938018388576 0.498228972698852 2.93646294471022 0.616561929226062 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.513980051626232 0.218668336706866 0.81375598956275 0.126199901211899 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.339487473360808 0.133180658445039 0.35006491744929 0.047479805360572 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000464666699370947 0.000282395822558502 1.14401721323038E-07 3.31730299686975E-07 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00140232408734827 0.000809912052571996 1.10887386806373E-06 2.78864795100321E-06 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00287388948834366 0.00164003370605876 4.69127661205072E-06 1.14921600904659E-05 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00490840418042362 0.00269918959899392 1.61368458004192E-05 3.05612613159514E-05 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000742322535691436 0.000605304287328614 4.22104160496023E-07 1.54933901977387E-06 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00257210430104715 0.00234836543308908 6.31597352650807E-06 2.3578986958457E-05 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00543753279543276 0.00507563170961132 2.9343318982844E-05 0.000110428233733742 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00983815972288174 0.00908380932919543 0.000119400789174382 0.000345989345147845 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00142769169748293 0.000718545113724185 4.76390023654329E-06 1.5457546670179E-06 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00222349055464304 0.00164915545660266 5.53962411521944E-06 9.1308515989587E-06 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00518901585358886 0.00350466673846046 2.33030671659562E-05 4.2014174479069E-05 NURBSSource NURBSSource 23 236 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00911689017088048 0.00588861827547349 5.27689949993232E-05 0.00011828176712206 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0959021947059966 0.0744182486817391 0.0240158014440343 0.0148987237059616 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0398781760524411 0.031310626298014 0.00396155671643325 0.00271135902133043 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0224847620872541 0.0175648247197335 0.00117359802508348 0.000885633017359335 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0151013854238258 0.0115854356102829 0.000459471294024243 0.00041171724199502 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0556634347034038 0.0397861527922796 0.00798181759317828 0.00428933926832425 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0156572003470877 0.0112884303648626 0.000563690881414234 0.000392317971929954 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00870396687504651 0.00673459861669649 0.000129819204587712 0.000192805317886666 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0104212951737894 0.00918544310627619 0.000152369762998861 0.000364757813113694 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0478055055671364 0.042172148635605 0.00588670770207424 0.00478952572840066 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0143724900572425 0.0120092713753205 0.000477988147682091 0.000398601604326569 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00883444941575996 0.00651134403475041 0.00012469659632443 0.000133190490753972 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00995506640677128 0.0065763414712689 9.29344332705173E-05 0.000150197076325919 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.191802782324225 0.148769585319687 0.098716855698637 0.057989176054271 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0797497973357299 0.06260323070266 0.0161916074189652 0.0106520882053217 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0448110928895382 0.0350278305688888 0.00489766338222317 0.00341712690531304 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0293858936098671 0.0227613679868882 0.00195471382202697 0.00149678079856729 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.111273596668899 0.0795864274340326 0.0323332270376092 0.0168697348362409 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0311175673820825 0.0223308081387967 0.00234551313245367 0.00142964578578101 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0152744042353385 0.0113045028044968 0.000476376650217903 0.000460252840541848 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0124885321741073 0.0101521537122974 0.000258764842881105 0.000448746766763577 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0955901530619399 0.0842613378832024 0.023886834265071 0.0189032270362707 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0284414251578776 0.02383074967734 0.00198786240679319 0.00154596478103792 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0153380596861474 0.0117825547258806 0.000476150740854968 0.000404285866039932 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0128073410271897 0.00873604909194117 0.000223819046018858 0.000254971031156729 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.382664937184743 0.298381024931388 0.41323112866357 0.223468470494766 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.159515745976755 0.125145450508927 0.0664713188490087 0.0416059168258474 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0895598380108415 0.0699942099428944 0.0202002064469393 0.0133309236063684 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0583920822443809 0.0453194793566972 0.00821903284897414 0.00572204480798827 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.222219650565456 0.159412204375955 0.131645410754698 0.0659610275431829 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.062153973659594 0.0445365037128378 0.00963573484807415 0.00545567941115989 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0295125296200735 0.021513213170945 0.00197557617473827 0.00145405202694289 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0193066151523978 0.0146824149888423 0.000731458559524642 0.000836606504936097 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.191246780076503 0.168296984923748 0.0981249309033406 0.0736480693325114 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0567524403108838 0.0475677857595446 0.0081843656496199 0.00608257228719145 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0294269914076043 0.0228882451732104 0.00200514480842363 0.00146255400465474 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0208724871288853 0.01476851856371 0.000818496412761951 0.00067232150526774 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12142196611176 0.925498263782323 4.12375833004179 1.93417068737566 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.476961978864045 0.376717797261782 0.643617455061838 0.354674374539126 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268467526268057 0.209840994441573 0.191879953901336 0.114420005968083 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.174831864712197 0.135697510078937 0.0784138499928845 0.0490304785815877 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.657410522586186 0.487886577097005 1.23870671729738 0.571836151088403 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.186441543919997 0.133692580158746 0.0896175853703147 0.0470047184761535 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.087809381113803 0.0635358140589689 0.0189524296676922 0.0113066795927894 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0525723460033177 0.0387060977170903 0.00642441329992068 0.00467316340755214 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.571959941471761 0.505546044556969 0.963706080123043 0.612573880671029 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.170212020530181 0.142597660491971 0.0767476766196488 0.0530486039784798 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0870864126461173 0.0680678265105536 0.0194127809652114 0.0124363347049346 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0579873002246362 0.0418332334400816 0.00811591025535902 0.00492676295412161 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.83228420868839 1.58855638969152 12.0450268887506 5.35726332786481 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.78869363396944 0.63383416374091 1.87401851146287 0.965450194164707 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.446278643049284 0.350305570839364 0.552681835621565 0.309228412600115 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.291079991583201 0.226087245648776 0.224430397764658 0.132566634580997 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.07353184173826 0.836801636113751 3.52228470481609 1.59150596085682 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.310702144281456 0.223689244031522 0.253901273124392 0.128581496849509 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.146559883755439 0.105898678471137 0.053986002336556 0.0304237433714607 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0871442740322316 0.0640531047042743 0.0184159409783009 0.0119884366701298 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.94525499425966 0.847933041512595 2.83919700039599 1.6251653673625 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.283789810509694 0.237649927601546 0.219086958899242 0.143582013311395 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.144970938741071 0.113421640228909 0.0553673210010907 0.0338624292278238 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0961949768951437 0.0694480959055248 0.0236291030131596 0.0131675497761477 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.294872860115849 0.230907132160686 0.247741423872524 0.143713638196198 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122595580407067 0.0969541983199226 0.0404072231255125 0.0268613527901705 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0689548442657034 0.0541047398175388 0.0123483167295531 0.00856745685512997 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0450986857842696 0.0350983939691362 0.00502622587601267 0.00369542020585026 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.175242584535615 0.126147746710833 0.084314786152121 0.0443158885321429 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0486493398231629 0.0349621799739957 0.00617464747022193 0.00362674665319859 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0233161953186289 0.017062921683629 0.00126173066445169 0.000990827805532452 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0164067343774619 0.0127509539583476 0.000517454267405415 0.000664603041184319 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.150730826772188 0.132529505619616 0.0629265285858583 0.0489606693766649 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0447715314034646 0.0372317138020916 0.00526731925110926 0.00396797787522221 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0238049244471048 0.0182344900293648 0.00129376851375583 0.000976797637202199 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.017526059174384 0.012195399428668 0.00052953340684212 0.000479352311762925 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.585172774039453 0.466598339515097 1.052532729543 0.551993458243533 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.245158143167038 0.193972669049028 0.167548586905441 0.104190880154932 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.137839793622214 0.108188726316177 0.0508734367884259 0.0334415697843232 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0898749090717618 0.0700489740954146 0.0209076347235939 0.0143159738306783 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.349063947603359 0.253297618629489 0.346143198089887 0.172080012999439 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0971541052546711 0.0699110679789988 0.0252071170776779 0.0140679030498402 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0457876698500256 0.0333937002491211 0.00525402255273858 0.00346181187769434 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0287259532443075 0.021469979351783 0.00184849079003967 0.00164325000837986 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.301398366549578 0.264775533371527 0.262724178917558 0.187932508153412 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0893858596097506 0.0743949409648581 0.0215932680216516 0.01561618676937 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0466060798421552 0.0359435731806459 0.00544138667552036 0.00369340893856638 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0316335651767131 0.0224475605777806 0.00217658480513454 0.00152994157468368 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14550545223473 0.961008202514727 4.51810292531755 2.15854552908082 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.488510169989702 0.389678490996114 0.708076107004603 0.40164191163597 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.27549612421482 0.216440844470971 0.211555752342532 0.129513632131761 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.179538208160806 0.139986948756528 0.0866892574324675 0.0555870080992958 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.688437526671251 0.515510027996937 1.43262840186651 0.672393592403761 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.19417143577549 0.140101030311084 0.102912030126031 0.0550437374537281 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0911299357107362 0.0665073195476006 0.0217361596555838 0.0129866577447157 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.05516119762743 0.0408368684415845 0.0075099969129581 0.0053150338971798 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.600587038512275 0.530937878503585 1.12632553802662 0.710282705110767 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.178611053384178 0.148779443108385 0.0887842974528914 0.0610583031057581 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0926686726946881 0.0715874455843476 0.0226946012115166 0.0143224518549544 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0613682029809406 0.043851194153449 0.00930174981464686 0.00558824688893744 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.32599877375916 3.09557096766859 45.6148737683829 19.3171898453596 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.42178138718 1.21186207653128 7.05595265427405 3.49892607868171 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.814911214633729 0.65788461429808 2.0749218384286 1.10582491591104 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.534952349776418 0.42118310307358 0.838631816092737 0.471079650920985 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.95111267241342 1.67539242396343 13.8092160279152 6.13182496496123 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.581619941990698 0.429375170836946 0.98124479000844 0.491476324123155 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.274939652674527 0.201379313726322 0.208267173557738 0.112292652695022 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164490161656554 0.121675708783094 0.0726637626074356 0.0426840252233869 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.74991246029332 1.64047668311961 11.6660940753281 5.87089072843654 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.534160663829901 0.446394162892921 0.863908831047307 0.512305041808625 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.277743177510087 0.214318101962192 0.218756409286418 0.121678345224631 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.183458380293125 0.13069802534678 0.0927621769561709 0.0463593863376302 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.53418393546407 5.30704409289093 132.551988430359 53.6294504974806 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.31305392192031 2.07125145527816 20.2437132454708 9.5936894693612 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.32960706920438 1.1131194196805 5.93876060316031 3.00804497543643 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.87879448602626 0.705823137487728 2.39680850532679 1.26803200241685 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.21626312252172 2.94041928226367 41.0291192925162 17.6382605544372 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.972673569091427 0.743109748661643 2.90667399130745 1.42875790027826 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.465653674950424 0.343314061738238 0.619587032403675 0.318430642602458 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.279655168119567 0.206256965372257 0.218173000868729 0.118695306083044 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.90603787012659 2.80535875109083 35.0210671640161 16.0747387183741 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.884478363773845 0.748596119023096 2.5385699126535 1.36473791464916 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.464406193587803 0.357349502018494 0.641152349969764 0.323653452856987 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.307558648592704 0.217967900086013 0.273904045535211 0.122882814753488 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000166356609181698 0.00049106880812501 1.84128534801718E-08 1.63129446656467E-06 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000486721649600979 0.00127695933716406 1.28914164284387E-07 1.24108281522656E-05 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000995415552343675 0.00258539952766428 5.43015798813813E-07 5.09684257963348E-05 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00174764453632073 0.00455479816008361 1.87884216390177E-06 0.000154581287944757 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000298351306958114 0.00261372398673832 2.67637126340232E-07 3.94849694875902E-05 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00126456551024295 0.0110602549966861 5.03775371582039E-06 0.000696370862511052 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00275826209714819 0.0238134048560971 2.44801840162801E-05 0.00321920745470273 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00495817525804689 0.0406504256771438 7.75561708606818E-05 0.00932331565203879 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000124402465877572 0.00110380568665906 4.20667133091476E-08 3.82039357482515E-06 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00159633035906552 0.00302823063562713 1.38209722565596E-06 3.07732753198823E-05 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00357774554690292 0.00656957822202034 7.46510106292461E-06 0.000139444639246228 NURBSSource NURBSSource 23 237 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00595059624923525 0.0111953180842636 2.24612239563078E-05 0.00038986752197515 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.031878631689541 0.1534067166695 0.00288629183407675 0.0688938855028032 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.012636829974089 0.0657470069773021 0.000416443223686859 0.0130589407351131 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00701291499181 0.0371355600168233 0.000117115356838516 0.00427183576063051 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00476234540951538 0.0248444796048135 4.4456456398269E-05 0.00201960217090718 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.016714854610041 0.0909537403713373 0.000790881994438785 0.0234340277081326 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00482569595679916 0.02859150055356 6.72912643010139E-05 0.00289977578285169 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00350574633359261 0.0281027617914314 3.94277956609282E-05 0.00390756316111056 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00510482306392487 0.0420612660889559 8.31055756887469E-05 0.00966333187731029 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0150984217161865 0.0935537000602319 0.000673137737166695 0.0239382368047869 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00483426249717091 0.0262153343985926 4.89289440061657E-05 0.00182531967500915 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00426759015404383 0.0146381909385725 1.75892484800459E-05 0.000536148874215637 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00610432587151939 0.0141554558519972 2.66226323057683E-05 0.000534415750496324 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0681253558649214 0.302251100063932 0.016189733297208 0.259408678931522 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0254971143446441 0.131205081295521 0.00177333400030083 0.0514031360016705 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0139648607573421 0.0740080508682671 0.000495933140717084 0.0166090659530813 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00912042322326703 0.0484042955433107 0.000190890816021285 0.00729555433330845 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0337264689514344 0.181477852242417 0.00330722867866133 0.0919351299286615 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00942149058792278 0.0524121362161678 0.000250818545510258 0.0087232127336108 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00523415743620937 0.0361925308246792 8.43662840256066E-05 0.00560821660040968 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00558088040435439 0.0448523809371092 0.000100176619368782 0.010465768527435 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0306156433371139 0.186664822235691 0.0028829097894271 0.0947921861734914 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00928715230678761 0.0520155070851252 0.000210072386879526 0.00727908675475941 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00585181145271464 0.0258366296089602 5.1087850037832E-05 0.00173603794729337 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00660984017036058 0.0197253193664228 3.88638189486055E-05 0.000969986450877728 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.162655330977634 0.577115130909171 0.125947535256998 0.891854684115035 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0537369917309004 0.259465750167678 0.00949061227112793 0.195734894722996 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0282302628293036 0.147494724085341 0.00217023956351114 0.0648889874659762 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0180911885104676 0.0961345248047372 0.000821162796236523 0.0279944556070764 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0720163454401573 0.358271255650761 0.0175580555872308 0.348717469156635 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0187627747533921 0.102355750022587 0.000989961234943487 0.0309990973112187 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00941112329539432 0.0562616313533262 0.000260928335876017 0.011612415162197 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00736282242750264 0.0536646153261863 0.000170662805408038 0.0133886429550309 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0669815582986869 0.367537125072676 0.0168488209743442 0.357969190536449 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0184447991175561 0.103780260136166 0.000899464879488367 0.029106785792448 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00998988468765861 0.0497428211714653 0.00020298813353453 0.00662691126678425 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00830574685558774 0.0326937060167298 9.08088166148584E-05 0.00272162236192631 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.745184277873923 1.46751709670173 3.13735488658119 5.16773992739529 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.216041725295539 0.721213594705242 0.252978307029348 1.37853196523964 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0985691623412296 0.427578124167622 0.041287290545128 0.512499266412978 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0578257840669012 0.283654646821789 0.0110586047466747 0.233015874552283 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.32356351325846 0.967376275177308 0.53785743845657 2.28155372763616 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0586898766709725 0.302850951339316 0.0108148985743332 0.254605712415287 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0274491681068233 0.149425786694045 0.00218179667735497 0.0693493441312158 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0176371580339926 0.104269158811606 0.000923840607295429 0.0399213752770091 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.321297715997724 0.981548814212456 0.571461579561226 2.2859526511544 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.058185134942365 0.308137517540559 0.0108026074073688 0.252463938678965 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0285836280808897 0.147512311898149 0.0020988229113594 0.0590894972506182 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0186475240357097 0.0903062338989395 0.000753225792812086 0.0218370293385051 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.45195885942519 2.23764319124369 11.8095273736149 11.6811745412458 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.44090392362537 1.11622332734962 1.12474449619399 3.13985491858309 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.191896583089824 0.682006101380132 0.191734544311591 1.24448811213654 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.107066852061028 0.460234130641375 0.0486409166862335 0.58989536433587 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.684036360691662 1.46990257087258 2.51102488927948 4.93330121898989 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107640344738399 0.496064819511195 0.0444664862440309 0.659590615363805 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0466285904104387 0.246138213611893 0.0065885540027586 0.179466146104128 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0290401679550949 0.163195612049018 0.00250742069894006 0.0895413991933124 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.6869343172537 1.48329874933704 2.655977721917 4.90927885313452 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107652353492569 0.502044670232189 0.045939472653439 0.650387283787229 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0484263936419383 0.244483713428515 0.00662758868129456 0.161145225934088 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0303204904371577 0.149204935818536 0.00225923924040686 0.0599437389242999 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.12668848160216 0.482283091968235 0.0821515216558946 0.654898528278206 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0423778375856331 0.213944138844726 0.00639806663006524 0.140168292880433 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0221767897479591 0.121592882888814 0.00141543316533186 0.0464551721246417 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0142886904392301 0.0791893483364041 0.000529778476972544 0.0200481155615098 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0568914358757398 0.285991448984185 0.0115631853902795 0.228539886199454 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0150249402517491 0.0822378812789597 0.000668427391167234 0.0211464200261742 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00764129000151535 0.0482820536278145 0.000178756369991884 0.00909262036105117 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00658445938070909 0.0499802165832021 0.000138896629983177 0.0121622999640118 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0528042336258514 0.293149508936499 0.0109070576251705 0.234545818800625 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0148052692961223 0.083430414724416 0.000597021126386573 0.0195280426562027 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00831183372596895 0.0407062481791862 0.000133444735793459 0.00451660317511398 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0076344872690765 0.0279144858504443 6.82544831307622E-05 0.0020001008487976 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327851066654901 0.88868951855696 0.649754228615832 2.06385335242265 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0981110266280383 0.414313410014077 0.049112119087312 0.500284484322782 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.047319614176762 0.239940716844763 0.00828955141319831 0.175160860988454 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0290632229283752 0.157207267868389 0.00252842651144257 0.0769939278806586 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.133818229817899 0.552039927870226 0.0856924402556399 0.809244315555425 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0302725135321068 0.16229442467306 0.00277772827791491 0.0786673187655642 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0145743272373715 0.0841055631184282 0.000635636153896972 0.0242997122300216 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.010301461692365 0.067662309401774 0.000328022782638946 0.0193378793810334 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.129614504193172 0.561956233214841 0.0898507242504233 0.815270311951682 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0298975721768356 0.16631118891253 0.00266431683426553 0.077330449863097 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0154430471800629 0.079831364321892 0.000567508936077476 0.0177529478684742 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0112771294590035 0.0507415898768277 0.000222147919692282 0.00688649937648259 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.854203708889745 1.57665315304123 4.46845423944121 6.12047295771202 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.250021268988574 0.772752880416969 0.395199319853119 1.6243265625743 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111151188566246 0.462494391614085 0.0654608871052722 0.61748063687635 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0639071448375919 0.307811060381883 0.0169850412126805 0.283031831437995 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.361488468642535 1.01083501001281 0.734738964895602 2.50284225356426 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0642008449093677 0.320413646717448 0.0150727525764243 0.293745327130123 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0290391325673529 0.160563691307964 0.00253896507872911 0.0815146320663943 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0189915612564999 0.111681586692832 0.00108929782361762 0.045452499589621 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.363028016145354 1.01867465659627 0.796409673057059 2.45917900261194 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0642569016439356 0.327864037978372 0.0158503484758966 0.293040851257998 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0306098740142983 0.158430481347121 0.00255954093158153 0.0701722331023328 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0201348400374671 0.0983697173635798 0.000927025206085401 0.0265245062073862 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.28487602279879 4.04090931333019 63.2866020468945 39.0302709043821 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12279776419969 1.9143748476919 7.89562623067795 9.09810060319215 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.504942100573632 1.19558659933504 1.62546031694889 3.66137274500893 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.271127857459558 0.831291753665294 0.448874558271592 1.84716767542094 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.66919806869771 2.50568293478369 15.8314502138927 13.9883746577003 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.277958330680799 0.894035065512444 0.436082702535527 2.06585607996563 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.103475798535149 0.466864239492569 0.0473973598391595 0.626229467017433 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0603253961450368 0.308502433391877 0.0132316901867874 0.299240566200849 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.6514070094278 2.50579257696877 16.0413930963383 13.5724984048496 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.282165541287991 0.890579008145116 0.448501314506064 1.95334774479334 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.105609522372984 0.458601280213859 0.0464335898999316 0.559715119542229 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0612811348844635 0.288695391833809 0.0122871526849363 0.225061905262071 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.77087829279015 6.50632051738845 191.878707300086 99.5181613092909 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.0954217709466 2.91918497778029 26.2113552025317 20.6312215507098 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.995810920962906 1.79687280509463 6.04472126127291 7.86884091676021 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.548452565208894 1.261019126523 1.83040157753336 3.98452693723964 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.1692924714533 3.98060278566463 57.6690134999035 35.7253974924183 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.618048604680773 1.3994832447006 2.32546824522412 4.84200620429154 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.224433941910254 0.75782155110726 0.301949199614904 1.57392290770284 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.123864493424614 0.506150937009145 0.0842453934685442 0.763079719164275 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.07167876943457 3.95022938742372 54.8102120467891 33.5935413778097 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.597237575995995 1.35717777713223 2.05816790564292 4.2570848283416 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.21167646784481 0.730426234519193 0.223740273848535 1.34367208642604 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.112628891435046 0.472570738104633 0.051480582791483 0.581365906708897 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.25310082406893E-05 0.000643320971269442 2.45867330234673E-08 2.08710916468615E-06 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000173390233228191 0.00162693375827705 9.4466197538908E-08 1.61240446104378E-05 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000344616879960842 0.00319669845965475 3.61498564442183E-07 5.90602611616162E-05 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00057641106535645 0.00544090046590629 1.02990964884032E-06 0.0001668339798706 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000291760909820225 0.00313803359803744 1.14281162897367E-07 5.0620037369745E-05 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00112951103498931 0.0130583038018843 1.63556142467225E-06 0.000881141191005844 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00240258463887043 0.0282411358133295 7.36233692764719E-06 0.00412254286762374 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00402906945107739 0.0473859506013482 2.18506348190654E-05 0.011527454936351 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00064216984607146 0.00200489243644259 3.56308719015607E-07 2.1304047560296E-05 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00107466412471914 0.00302207324758423 3.01302347586072E-06 3.37119439936162E-05 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00206996871350803 0.00685187655729989 1.26531818012965E-05 0.000136144159416372 NURBSSource NURBSSource 23 238 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00328178096889691 0.0120483423237406 3.14394244645179E-05 0.000393407632572706 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0351220533757386 0.193157732250225 0.00389140832605944 0.103092898245089 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0143833762457843 0.0787464111623995 0.000609426750394748 0.0166917858002633 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0079464504817109 0.0450513483547459 0.00018526323187075 0.00565221693678185 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00514815242684341 0.0299629847421808 7.78841899207862E-05 0.00268847224752132 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0189098362333734 0.121830250907405 0.0011818921029074 0.0428550969800965 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0053213489824491 0.0369478637973347 7.90826413069955E-05 0.00488359436318398 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00333687715963423 0.0324632167068428 2.26643748140448E-05 0.00513867060429683 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00417198129844737 0.0482923829716705 2.83912033525545E-05 0.0119053610244396 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0159797091311631 0.128368178110115 0.000850728178650053 0.0472933309472453 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00519093916843024 0.0367365830369559 8.53121677079032E-05 0.00386277152194409 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00342874277834905 0.0189584577743513 3.60745888775027E-05 0.000995514795057722 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00375090441819837 0.0162060186276535 4.14129775442168E-05 0.000707263706475056 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0727416944796302 0.38385636827045 0.0179793196441607 0.402666612854626 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0288943365358921 0.157341914036672 0.00250320231320628 0.0659842858698894 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0159042899649982 0.0899348264565686 0.000748391100773279 0.0219712543685911 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.010249491337493 0.0591268062684523 0.000309769578757157 0.0098564554103522 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0381531202361414 0.243240395984456 0.00502596547142021 0.168811297791866 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0105131994353924 0.0705141616694999 0.000329946222471558 0.0159374283031668 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00549621703269413 0.04363393195569 7.50844638999814E-05 0.00819600180140002 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00492471021322119 0.0512056818926843 4.89536261035142E-05 0.0131074600960129 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0322624983833812 0.256364381360122 0.00363960522481842 0.187009910436994 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0101841535353908 0.0732824618888868 0.000336596968006514 0.0152768658840245 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00582558695166251 0.0359832648142409 0.000106659916405012 0.00361187445222991 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00485116236538471 0.0248711926811787 7.1676041097674E-05 0.00166687456111123 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.167461215809764 0.745645272551674 0.113334814584227 1.47422894537625 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0589545633250925 0.313475651243515 0.0108865585045476 0.259053957404313 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0319676803168707 0.179640743581135 0.00307884208867615 0.086391576273545 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0205104403256946 0.117808656633064 0.00125217481963877 0.0379478189950134 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0791409395837845 0.483591041541758 0.0238627550285989 0.65821099120487 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0210001566729899 0.139410364847274 0.00137840184692877 0.0584732508775579 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0103789624466792 0.0728182427625635 0.000305131908810411 0.019582779666624 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00741043312537017 0.0629337937633176 0.000138455184777344 0.0181244648439197 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0676254400810209 0.509455201599305 0.018011521473292 0.729325734406958 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0203203281984273 0.146428575649588 0.00136939315845849 0.0607294545174683 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0110336488356276 0.071013648841719 0.000390460647667649 0.014137319623474 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00781092791470736 0.0451331938890044 0.000193362527198609 0.00555224352480471 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.858320295281014 1.88116047438213 3.83186275332526 8.12505356293178 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.223319012888222 0.893417705510254 0.207190031508828 1.99442815344468 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.103467178069986 0.530992347788731 0.036492462042905 0.736099888467884 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0631157793200798 0.351380875752323 0.0125542634020144 0.32872363813847 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.376343110541677 1.31215708482583 0.784627972252678 4.3590907647612 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0644565302846143 0.416886564571129 0.0144338170243743 0.498078280092709 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0307505667420884 0.205401214276593 0.00304759395498017 0.132176702188965 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.01986456857851 0.136324950991412 0.00123670796012023 0.0674812282639242 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.367978192597241 1.36078479002807 0.820558783232687 4.64162041999747 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0625696464410334 0.437343209577405 0.0141719242236332 0.53629888815282 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0326654968208666 0.212059797320953 0.00353917107723604 0.126077473205811 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0214518867327746 0.130951195481185 0.00152113156794961 0.0472802508862 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.74645449162964 2.83700882857643 16.1549747500629 17.4651678203545 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.473324984276276 1.38677780367475 1.07140745109343 4.51771671907899 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.198866173091239 0.858010400122288 0.159951512484406 1.864686673146 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.112364159706771 0.577926246459777 0.0437513194241686 0.875161363438324 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.848594881085402 1.9702864059393 4.15320981174611 9.10466251253159 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.11550074939225 0.69014239100676 0.0532668228337317 1.33520886530484 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0518323507112986 0.341637904396341 0.00922208781704394 0.352375176141204 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0329999956998608 0.220171056146794 0.00367709161365172 0.161868169478838 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.851397021044476 2.03140905134203 4.44349082374264 9.6254454136453 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114547702225695 0.718385123750512 0.0552983559762468 1.41765431603227 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.054989454873271 0.352675757406321 0.0104223504961874 0.34722218783769 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0356316639163646 0.217668778340333 0.00429409078547237 0.130438881336327 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.128383192761845 0.610342107165364 0.0651235567274595 1.00054562777907 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0470122875294769 0.254117812434281 0.00704924824202073 0.173811078442418 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0257013507345001 0.144930858920016 0.00205083676918131 0.0577075452585063 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.016516842272363 0.0951988093917751 0.000842666913945576 0.0255099262471308 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0618074053671247 0.39826476413979 0.0140152674166396 0.455998878058213 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0168549719153892 0.112449204883443 0.000923735310263639 0.0398318728912376 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00847591204063379 0.0611538478508503 0.000206322247585801 0.0146598976288157 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00645637531748498 0.0578238073451132 0.000100139504419299 0.0159594431774604 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0535939200575041 0.418888326777425 0.0108835767523602 0.503589495877784 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0168499361895882 0.118872264764251 0.000936278153385856 0.0410132345808888 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00917526959245002 0.0576338788389615 0.000278990423981225 0.00955237836712654 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00676168195817511 0.0375495733462319 0.000146336934789793 0.00396258101510496 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.344667216780873 1.13395568671947 0.592260985856345 3.18803564600665 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.101269922149664 0.500453932063469 0.0369120930400028 0.660408582025905 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0523131398579818 0.288565687501281 0.00884386098708917 0.225957036522718 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0332236363259301 0.189622038566101 0.00348054595798003 0.0993300913942961 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.144512390381149 0.775731008187116 0.10052090117985 1.66156156276411 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0338417284155015 0.223739579207263 0.00390919434726684 0.151574814812267 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.016518739802117 0.112349636618191 0.00086479495649206 0.0436779660175825 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0111971353109696 0.0832190292481136 0.000369895594700736 0.0290250396197307 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.132805719707786 0.811750851403468 0.096618303092383 1.80519001789472 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0338455197878618 0.237293689606671 0.00390098746354714 0.162764014778464 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0179513033484654 0.114383280976259 0.00109200590058206 0.0377921536901317 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0121333971577123 0.0719700108363268 0.000487672467587843 0.0147552411557816 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.968343825274816 1.99679645729621 5.11317720294062 8.8827068045075 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.254353446137566 0.948658427305111 0.298222161619705 2.24108860669205 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.114514583342046 0.566574282557804 0.0489654771794704 0.850113937998636 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0685963508157424 0.376385493017404 0.0157697155687069 0.384808724175628 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.437151001846612 1.40490542370527 1.15021499590333 4.91725237940509 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0697353770767775 0.445548082057829 0.0183788462674051 0.585396789196091 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0329835876325761 0.219573890969133 0.00372082954055782 0.154509778708976 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0215863983087866 0.146383260296172 0.00157554812106139 0.0780524582565601 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.431371671788558 1.45714902570406 1.22544370176977 5.2539227327386 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0706703291768703 0.471045649614894 0.0193763787920378 0.631163477878263 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0357918608453474 0.227814845751426 0.00446546792178532 0.149726432397872 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0234826980501597 0.141993330440525 0.00186386111760116 0.0577679604041427 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.96140650094792 5.06150176262495 85.8693712360249 52.7925279247824 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.25693152148144 2.34971469818466 8.38301922093155 11.7172803582493 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.544011315696673 1.49201482158202 1.53838378988986 5.19801826886384 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.281131799858429 1.04755011818814 0.379830861151325 2.75577561878665 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.18699246743774 3.41741752865393 28.983860572026 26.2550806375377 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.336269362108116 1.23966389976506 0.715386218017225 4.02538809641416 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.114426486418139 0.654161929701674 0.0624942150097701 1.26934365269337 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0675416598378593 0.42560287015703 0.0190989982524714 0.583183908041618 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.20176716770471 3.5188848454861 30.4938692018027 28.1323248460854 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.345326271369854 1.27507771030148 0.736740516274295 4.11317769349117 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.120163883210764 0.668277397585184 0.0651731800409234 1.23736507958418 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0717226360425144 0.423047450640838 0.019030996333567 0.50431053476377 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.07645996656378 8.10280812843095 275.129800989091 135.42734012564 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.424101642204 3.57295766125317 31.0549153635075 25.8894068721425 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.12978718492748 2.23888076866335 6.77916515178399 10.8935708441006 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.60325767389323 1.59275478542732 1.90621580954085 5.91296266548643 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.19274406764194 5.38768789509604 107.19920484742 65.8957807780655 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.806908526263432 1.91510401623181 4.43909793060118 8.96217862255765 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.268810209632525 1.06145852401516 0.509707128821624 3.10780077245725 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.141008271368001 0.707684205814626 0.13027333438283 1.52050950601079 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.21259616589779 5.53709201106076 110.768201172328 71.0759455531428 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.782941835709386 1.92440947189781 3.87030491827779 8.73840528705631 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.255473708239376 1.06042061439767 0.36308243488481 2.92993129199062 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.132299172245952 0.698019030649562 0.0764685892967098 1.3265699818878 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000238119172562483 0.000356622175705436 1.65605441775929E-08 7.61707049803624E-08 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000738569418326396 0.00115789408930953 1.85070490369415E-07 8.08618585492884E-07 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00153136479493405 0.00239846417845537 8.24455264276018E-07 3.48108834508841E-06 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0026787750238431 0.00455780396567377 3.8934546343944E-06 3.96280896953318E-05 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000540974514280177 0.00042035517443534 8.34311590562733E-08 8.09104085727406E-07 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00206749435279107 0.00215068114894128 1.35681803418803E-06 2.19435213910824E-05 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00443656466723556 0.00487843131553878 6.40688609776072E-06 0.00011321578746474 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00777748454185006 0.0110478450008776 3.26463938187173E-05 0.000765792236860138 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00120978098927438 0.00101160045237773 6.11989299443986E-06 1.06094088106378E-06 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000799448307148527 0.00332123768467456 9.75340587499547E-07 8.72536871231418E-06 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00216161287939954 0.00751763658914138 7.07913958338222E-06 5.81228895880418E-05 NURBSSource NURBSSource 23 239 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00447316516595152 0.0129732488964852 2.97003077227327E-05 0.000210402683563883 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0673023514618952 0.0553171275506232 0.0116909021256758 0.00787391807962938 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0278104003215491 0.0229621050069782 0.00193278646717604 0.00132219816815498 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0156684426203161 0.0130380275585604 0.000578950284137035 0.000385020428044207 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0104072181875483 0.00957503011695072 0.000228150014238499 0.000195702586037988 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0389211563567254 0.0319761377189088 0.00387609851414945 0.00267821987712782 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0109996885019692 0.00917681672398992 0.00026689148074494 0.000253184388340308 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0063466425390058 0.00653582615242958 5.09862649788866E-05 0.000175467634807702 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00800668374011669 0.011489152116974 4.71209056679371E-05 0.000799855358212595 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0315795721992941 0.0325914103372846 0.00264820447457555 0.00272338637513887 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00997525974647325 0.00969532533779162 0.00025090044522213 0.000186613388059732 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00569528971963563 0.00879851882000036 6.50377786374345E-05 9.41749186722557E-05 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00571582561647314 0.0133943724060086 5.04977166984843E-05 0.000228168898952494 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.134262001661683 0.110846451977674 0.0473088243243442 0.0310503357056262 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0556080380050042 0.0459374410073123 0.00783362139001964 0.00536287481024261 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0312644850331313 0.0258609114918481 0.00239690346137024 0.0016216486528401 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0204447478477715 0.01746757715183 0.000969286420502163 0.000706206198219202 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0777922490198311 0.0639667540673219 0.0156921718937675 0.0105723948911611 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0218068409380764 0.0179833844674624 0.00113305895486176 0.000902030563617954 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0108250180573785 0.00982812286399498 0.000210774397198769 0.000344279186243616 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00920203331217133 0.0124979141563938 9.33102051303275E-05 0.000882757178225465 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0631284973262207 0.0651165227383781 0.0105355040186669 0.0108716586920035 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0199044772486862 0.0186569616438379 0.00101667857803332 0.000788603278054306 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0106443239571141 0.0115437998456574 0.000260018216085951 0.000208052244356311 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00839611132707759 0.0142847653430899 0.000124996806812301 0.000275289668824593 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.267038203532049 0.222850158820995 0.192551658354196 0.121032189733777 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.11112899493922 0.0919783897350575 0.0316883934657332 0.0214701769673889 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0624854712960559 0.0516700962923577 0.00978591987131834 0.00666859283807128 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0407307160473471 0.0340420047875037 0.00403579688567455 0.00283256961567244 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155226468320204 0.12816489235636 0.0636414999976896 0.041480429305724 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0435221592844906 0.0357581569792811 0.0046933434125834 0.00342611802847534 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0207429964177373 0.0177255347886051 0.000924796797559994 0.00097660592502462 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.013631823979628 0.015682348354272 0.000302431745376051 0.00118395644615801 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.126275353647448 0.130048768877456 0.0425571433824355 0.0428350608169587 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0397805653858997 0.0369618964857447 0.00410952762077974 0.00329688957571406 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0208617877362641 0.0191289830544058 0.00107935386136716 0.000715325305873597 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0146540215678685 0.0170944987076749 0.000457771209203896 0.000462757040100263 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.781188887848269 0.690161008940986 1.79002820792794 1.04022200533466 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.331168384536549 0.277803179633757 0.29121483586116 0.189177793370479 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.187073238266636 0.155321191686113 0.0900902683581271 0.0604783094718928 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.121967539036541 0.101607416442021 0.0376158113213668 0.0260012595980906 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.459042341744772 0.391942860472226 0.588249402919283 0.359908491899809 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.130534357980263 0.107178169934824 0.0436008753511545 0.0297095133054593 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0615093839697123 0.0513437055773831 0.00915308633887174 0.00728273278296303 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0364485194632772 0.0342746820085556 0.00295007894669106 0.00403182612564895 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.377208009175473 0.391617962552738 0.399697956656932 0.366437413736854 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.11911552205997 0.110616075705641 0.0376547315682396 0.0303054315678127 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0621396599814819 0.0536267850391855 0.0101756797923946 0.00668565488179658 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.041883679166987 0.0354358798313813 0.00440599639418359 0.00264646265244953 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.28393565694486 1.17623527162747 5.09127025807964 2.80934684826108 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.546863442656357 0.467722034471986 0.816263423155192 0.519020434461947 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.310660214042119 0.259813905941738 0.252577291366385 0.166869211343319 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.202983651897756 0.169472340442795 0.105707690980986 0.0721826814197586 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.755512383158997 0.665394921439317 1.66134590817426 0.98318664922931 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.217536153989329 0.179056989250283 0.122666280569031 0.0816074919056295 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102606942005403 0.085394587055118 0.0261340866009929 0.0196069309052475 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0603573340249233 0.0547644355660028 0.00862873109338443 0.00934616526185484 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.627212267871063 0.655604851088203 1.15081917797728 0.978995753073405 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.198127540348502 0.184351740223648 0.105966331312496 0.0833443639659857 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.103443066058455 0.0888627956910985 0.0287690014025403 0.0188075925290881 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0696117268355419 0.0566305686239289 0.0126806850253744 0.00721425078703118 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.21334102203661 0.183001522025285 0.126557656433323 0.085479978070012 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0881579409818244 0.0747836245327699 0.0207480556697103 0.0148074217966423 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0494465730129472 0.0418765083975931 0.00636818245261845 0.00454780243097964 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.032275209098652 0.0278083040684184 0.0026143346032567 0.00193591376886837 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.124764426086971 0.104285400887551 0.0423490478416631 0.0288326530852597 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0340869588414992 0.0284733008758161 0.00297118975601373 0.00231372921641981 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0165249091653419 0.0143884928659826 0.00058259335794515 0.000693448577268708 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0117256736716323 0.0143108944873026 0.000201208302189063 0.00104961951970522 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.101720939298499 0.106346983824407 0.0283639032472637 0.0299701746987401 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0319011329991881 0.029609102913826 0.00267915506254666 0.00218722956726472 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0171177860511625 0.0161761967830849 0.00071300755061598 0.000492185069960281 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0123100760628301 0.0157651591833959 0.000310345036717792 0.00036751005992721 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.424032864449048 0.369433508664504 0.519312195017697 0.330576072317181 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175986132074063 0.149679999451928 0.0841014359283167 0.0586333006022534 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0988461129588597 0.0836111453448992 0.0258996542498733 0.0183891413176676 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0643865161757825 0.0549292540879662 0.010753969786694 0.00783589223296481 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.248717066707476 0.209501406111402 0.172619097225836 0.112426871166535 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0681107860786821 0.056805466211911 0.0121871453209999 0.00896466654810697 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0323189928398355 0.0275303817420377 0.0025010151967216 0.00230458789967578 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0201519435688424 0.0209227404138521 0.00080122083172605 0.00180918816051878 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.203405923223187 0.2125194692304 0.115934350233215 0.11682282595253 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0637662557676043 0.0589667635653188 0.0108350895556662 0.00897243889899851 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0338986888748989 0.0295465391180295 0.00294315571381404 0.00194712272333998 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.022988790625602 0.0219419122776917 0.00124125876772405 0.00087879242634192 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.835518071296799 0.755547869045754 2.13461229223012 1.27611301926663 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.350441076734127 0.300491395353837 0.342388938197893 0.229522182381015 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.197292638324596 0.167294012657671 0.10507240183909 0.0732462570939942 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128618515996822 0.109492304389135 0.043842064399908 0.0315244483706784 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.491763274396592 0.426845448996947 0.701129650232918 0.440883365422707 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.136245342771823 0.113672103408694 0.049711608757266 0.0351599278173695 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0643124793041103 0.0543960020578888 0.0104900210685581 0.00851705103539765 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0386602572889421 0.0365917880260482 0.00344417305155204 0.00459858799825509 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.405742007688605 0.426807815656122 0.479801488707488 0.450269968281472 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127435870094099 0.117818931898114 0.0440103604642581 0.0359753253257639 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0675813359360475 0.0575369681804911 0.0120915111267074 0.00801436035173643 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0449795633847598 0.0376774069447277 0.0051642086059248 0.00308322342415865 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.45269685253185 2.36116348220355 20.7287123956027 10.5115366551869 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.0282510292817 0.925930972715295 3.15310381698398 1.99486945324652 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.584768762272957 0.506817789216058 0.964609048858685 0.641558245245213 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.383128787642431 0.328745289636541 0.403353486572213 0.278131932801851 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.43731685785263 1.33936320731108 6.65881709837796 3.79549869669246 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.409978342964116 0.345451714321408 0.46700759595845 0.310863590696375 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.194157565568226 0.163639300537941 0.100356022914168 0.073457914503906 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.115616857486073 0.104471737514022 0.034407058839164 0.0320842120095241 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.21742201469904 1.2911690596771 4.79567309784854 3.5995079200486 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.379747742020505 0.354363247980607 0.412438664146686 0.310725403958175 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.20181241841911 0.171177699985678 0.114043509763837 0.0719690282362322 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.134583942183059 0.106957825942905 0.0502440671458896 0.0272075505828411 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.09162252560117 4.01748885312707 60.2500636742681 28.4563888984956 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.68606095726074 1.5662045365677 8.86494203371437 5.37951178778339 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.960496421218279 0.854721384529382 2.68258282782182 1.75298999207046 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.632256760855135 0.550599218793753 1.12348914630072 0.759220224705024 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.40290577170739 2.29852446895203 19.7572209360214 10.3082112793906 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.686931788427507 0.591230006413294 1.35229490457543 0.880898505948372 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.328298743043172 0.277174492682452 0.293430961218318 0.206764946476768 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.196105532667679 0.175392539069114 0.10260314194779 0.0871854257527223 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.06229259052142 2.16014802250924 14.5806614024971 9.24591756910471 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.628716744207242 0.596410628792202 1.18166708609217 0.837504063950469 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.33551355987012 0.287173798945034 0.328914119405034 0.195358135998299 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.224961309951354 0.178701207290015 0.146855787965817 0.0742716421169587 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0157793354319931 0.01083110650966 0.00083352433610547 0.000750171676056989 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00831400004352433 0.00408980515531176 0.000189048872105634 9.10514575798149E-05 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00847365442116657 0.00316783451605892 0.0001913785277303 4.84633361939145E-05 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0106616685136213 0.00371195896954329 0.000316084738134399 6.61162840369211E-05 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0226620780603294 0.0143678706635104 0.00186689917170402 0.00115929635888335 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0183700725682897 0.00693689574808961 0.000859848128417487 0.000216115550267489 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0226357302069834 0.00624014843432491 0.000924665453498251 0.00015354269718679 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0326744276024304 0.00747834605494579 0.00141624969188054 0.000237178426832408 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0112198094050283 0.00797718773385967 0.000598610424225067 0.000255702121309497 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00650270061796781 0.00346142340947748 0.00015350624451976 4.65817064095293E-05 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0100003636137573 0.00385497150307898 0.000327682155551487 6.6536340285021E-05 NURBSSource NURBSSource 24 240 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0164616716343083 0.00639971287355284 0.000833570006376098 0.000194461181191191 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107450356604949 0.0821048307149608 0.0334260580607583 0.0193334968168226 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0440615357432421 0.0331185360034308 0.00548484226923861 0.00311297861387293 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0254048445509119 0.0185161830575526 0.0017892297768608 0.0010028710502472 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0186798641811899 0.0123834248092051 0.000955879562139673 0.000490730388156586 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0722675132289741 0.0545591360060798 0.0151310424483457 0.00902621370379789 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0276304051423843 0.0175330670433273 0.00197474698624249 0.000977428022523418 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0245103075010185 0.00996639476387776 0.00114721932101583 0.00034530291987897 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0331017608871446 0.00890298177527776 0.00149805773577429 0.000314934776815875 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0565223641348568 0.0418928866636285 0.0103821497993158 0.00450334122774044 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0169662801893452 0.0123497124793588 0.000931335975768975 0.00044498092126103 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0125904013275182 0.00714854762091376 0.000526915544295908 0.000189228925586958 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0171775673159173 0.00771880461412764 0.000916581876681751 0.000262410611738832 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.211660215003391 0.161937527939732 0.135574868748347 0.0710962452092894 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0868938259071555 0.0654762657083652 0.0219414993953804 0.0117177999937955 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0489257918300162 0.036436811185707 0.00680029266072267 0.00369237066148153 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0328135740928939 0.0237777691007005 0.00298322096517042 0.00165203720356246 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.13728371093697 0.104330704555395 0.0562951360698455 0.0309915659216719 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0448143512282626 0.0324197782231009 0.0055055838246068 0.00312701383419981 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0297481181533073 0.0166155594809388 0.00185678017039286 0.000880645315098042 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0343291930098619 0.0120101378210033 0.00175284321217546 0.000525492175306092 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.110684470002375 0.0823262794068108 0.0392885996424579 0.0172141710032336 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0320411207562475 0.0238516727739774 0.00321140951555968 0.0016017619381553 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0187457913376419 0.0126711822510007 0.00112863116551686 0.000527465262692667 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0191877214070422 0.0104932610427551 0.00115803538193299 0.000441981394615723 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.41852254652775 0.325013655542265 0.554091896155852 0.269466594843913 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.172951832782745 0.130586857284339 0.0889035247461699 0.0452955437830351 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0969100989446057 0.0725387401348368 0.0272379731769595 0.0141912806894028 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0633557954631997 0.0469995790741393 0.0113549109766136 0.00612044849182362 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.269586114754293 0.205942428048105 0.225002808729523 0.115504330775479 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0835712311998365 0.0631692707056238 0.0203214008110237 0.0114913788314374 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0451841503069454 0.031147608170685 0.00493986904112466 0.00293707434022017 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0396057898533268 0.0198015903508142 0.00281453390159815 0.0013075447663311 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.219759754412155 0.164319151435081 0.155978155811967 0.0669815670253748 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0630218228446351 0.0472664237354965 0.0122719084890957 0.00614032620925161 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0336141666102619 0.0244991969345037 0.00350332418030056 0.00180789503371826 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0261098530975984 0.0176627624197378 0.00213714131430395 0.00109955478813245 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.2133932344914 1.01358879497845 5.11331086930352 2.31196859430132 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.513631180936227 0.395710578554359 0.817317281417738 0.392676485123131 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.28923469320488 0.217987143811276 0.249461957322327 0.123171753708411 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.187983460797929 0.140510310195358 0.102923538338101 0.0521768550109868 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.790172479777814 0.627567343396351 2.07842304409417 0.972986488154295 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245556372812954 0.1878994558085 0.186157279259574 0.0981784510706067 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.120296355475359 0.0910906894509347 0.0416597121446894 0.0241884447308925 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0789668528536874 0.0548702374922102 0.0158557579465715 0.00919549507441099 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.648897799523862 0.499010714273884 1.4347435255902 0.563923372566134 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.18808936654414 0.141538727120573 0.110927525767599 0.0529068662142509 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0972461126681435 0.0728428170964379 0.0291334956067391 0.014643768177209 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0646279486372321 0.0495628539762508 0.0128386467022089 0.00741230768326404 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.98259223569886 1.74879188187134 14.4925301252761 6.4765970564458 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.847240376435709 0.668861992112418 2.28859881099515 1.0770279259113 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.480275490933671 0.36545827656878 0.700205578856206 0.337518466092858 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.31278800688436 0.234691248605638 0.288745706486235 0.142623391454227 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.29486885140305 1.07400888243757 5.86792860139799 2.69024873896798 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.407908845452379 0.315257289179339 0.527841338347873 0.271300246993421 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.198569063704175 0.152043564425835 0.118954823948191 0.0667624590679933 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.125174370409006 0.090996083550623 0.0444387028399023 0.0248591528221999 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.06006825454484 0.856276453509897 4.02189896538682 1.54562197943812 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.313247305254058 0.237152553621617 0.315002712889325 0.14403881045146 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.161930967240407 0.1219798008103 0.0824601571765848 0.0395900682032559 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106152965655393 0.082253457367441 0.0352089570751085 0.0193588998662306 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.337271414091885 0.260920713000984 0.373718407494296 0.186196341828518 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137470687591446 0.103848984187525 0.0596732981928887 0.0303650693612258 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.07656545838604 0.0574673292625279 0.0181717337916717 0.00947965566755887 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0502482879827821 0.0371784584561561 0.00764088752256205 0.00409380505141584 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.220273516441671 0.168652976944418 0.158350146463383 0.0802431837323506 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0685488922473917 0.0499682190396991 0.0142965923257302 0.00750765666019523 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0386884840152615 0.0246462924909474 0.0036804784101595 0.00192729350473263 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0372832101431397 0.0163110014409612 0.00242707258664393 0.000924897028890198 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.176519806454459 0.133626977539636 0.106259443492028 0.047236359356937 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0507377668403642 0.0374153854332239 0.00840731593514833 0.00391051156738022 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0277956038918306 0.0201970551489743 0.002520839297808 0.00126671468707708 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0236340042723705 0.0149856674315202 0.00177267644037348 0.000805403345037148 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.664802917758115 0.529825018826966 1.5197967503702 0.721155727097683 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.27387082615809 0.208472027421662 0.241344689537968 0.118928145797963 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.152560209115684 0.114925973950261 0.0733967001316213 0.0370034939618255 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.09897022747983 0.0740519844836646 0.0303417972947918 0.0156944248164189 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.433765228614015 0.338552012088632 0.63613153780923 0.308342305549161 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.132711366817576 0.0991398957412306 0.0562412829753069 0.02883029263121 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0671076922141006 0.0479861619518521 0.0127773683229821 0.00707873824712912 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0502026854018989 0.0296741314182984 0.00569771792403694 0.00287807885420658 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.350927113658588 0.267433869768558 0.428079893150869 0.182443473120761 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.100579900865458 0.0746362340059164 0.0330932764861194 0.0151930052913609 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.052518694687563 0.0399601344347698 0.00897490152351843 0.0046626125450756 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0378094672866047 0.0277282651389505 0.00458801454235036 0.00247668934238301 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.29350497651969 1.10006306742462 6.14238246893422 2.8687102449936 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.543471946328931 0.42127150042223 0.973733116250744 0.469310205914922 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.304135597006387 0.230752743275977 0.296030383412643 0.145695906422263 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.197181811625912 0.148215572729707 0.122317394790429 0.0613321370885054 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.849328610052763 0.692403531062969 2.56034329696927 1.20747188889953 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.262363558729896 0.199160131663061 0.227393006700755 0.113398865699383 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128639303988779 0.0956354619450514 0.0514200382989203 0.0274869292801425 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0850541628280906 0.0578828900380834 0.0201106821083028 0.0105304090386591 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.690145540048877 0.54537236311548 1.72583520613803 0.709200487426704 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.200132034527113 0.150094191405438 0.133566000871122 0.059397298820766 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.103351357967586 0.0799616905151733 0.035228082180001 0.0177819143474177 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0706010992131491 0.0543869922898283 0.0161797413798789 0.00875147650380212 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.77280108710709 3.56859253420807 58.7819328198164 26.8611123617242 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.56315587165316 1.32621810637475 8.63887704465684 4.26920824271818 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.892913956634007 0.708542677916817 2.64172136251687 1.29711373810611 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.583869662371934 0.449919830954024 1.09641786673133 0.540263881056754 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.45466316411358 2.23459608525764 24.349237338075 11.2505276741444 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.774268698249166 0.62144997268203 2.09743007891357 1.05113977963238 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.37985807498834 0.294257126342981 0.487484158474952 0.253994146593522 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.239879884662048 0.176812409137231 0.190293306981434 0.095479386697427 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.99644542662295 1.7820618647128 16.2725499633503 6.69263588893066 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.597541023468751 0.465015798746156 1.28690585144265 0.514874028476029 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.311001380136337 0.244706173552643 0.344754956892308 0.150521435364388 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.211024127123544 0.164743343911494 0.157411933580234 0.0709856409331712 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.2815089526002 6.11963837183827 168.537071485832 75.61988410773 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.52633770168703 2.27303215757173 23.572834165339 11.9403856706126 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.44136891067408 1.20714330480332 7.04333246296476 3.60621923047517 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.949398252219916 0.759382074689447 2.92743013416727 1.48743444419578 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.1046180907716 3.89987997034331 72.9447143773946 33.8495261697957 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.28643487623285 1.09052658342648 6.20177208101105 3.25298570023265 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.635938415464822 0.512463262772061 1.44594119392761 0.781646725358208 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.401507847684188 0.307186791627305 0.574556066587443 0.293729913702188 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.3589451065643 3.14429595097518 48.7434139111894 20.3506455347776 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.995873668610604 0.811389554324587 3.81279056899329 1.46251910292239 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.525670585890546 0.422407607108419 1.06416736242809 0.422844241615956 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.359325610455379 0.28167411505306 0.494811931132843 0.196666029400928 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0365415502585991 0.0270599927728573 0.00309567627768721 0.00368770447601196 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0114146377553643 0.00851710760761303 0.000267937839709979 0.000361121549449212 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00701434353398025 0.00465810323043648 9.63041080593209E-05 9.64864145875634E-05 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00625258876849559 0.00374930086012303 6.80178042169173E-05 5.6942286438598E-05 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0313586952765088 0.0256669083731211 0.00253352610159619 0.00321658031834118 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0155730677016605 0.0140037975490798 0.000570948580841026 0.00103999944519258 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.014166469687128 0.0145455175886159 0.00046253619761978 0.00128242001793578 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0186577341937213 0.0229100967043826 0.000955794437394765 0.00429164942620118 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.023616448732069 0.0209831588980458 0.00229981120509961 0.00152261646709693 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00878365381267507 0.0115432870526407 0.000272908013217882 0.000355202319556892 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00831673584155634 0.0117708883904969 0.000272670008986093 0.000306122059511951 NURBSSource NURBSSource 24 241 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0115769070705575 0.0158820279945913 0.00056577208994013 0.000645778547090599 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.175980559775112 0.131159561664234 0.0894033836862884 0.0557295135107121 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0702922464566855 0.0529563944762963 0.0134596833470437 0.00917134956603792 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0392935249164097 0.0297001297234512 0.00406462728630577 0.00287783922491259 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0259128589544083 0.0195446113058702 0.00167281546705453 0.00123754101477961 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.116410232249175 0.0863020576956133 0.0384683302399049 0.0248076496434121 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0383405988696977 0.0297008911778213 0.00383779885988479 0.00327349748944665 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0226819385542536 0.0200317457169434 0.00118056147845821 0.00188474894441719 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0222212805699894 0.025262250305056 0.00120841118519248 0.00455788889952557 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0965896472820102 0.0679739349838713 0.0287590487393074 0.0141151690574427 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.027577701752926 0.0236808114959158 0.00221079157689284 0.00160639476131918 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0161632198992213 0.0165955278025561 0.000758880059723963 0.000647849740750291 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0149622229888795 0.0180704445670375 0.000764373782592367 0.000793489166531526 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.336999608698792 0.260424777353085 0.38120167175965 0.206151038325326 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138285253664411 0.104493493643653 0.0567991276338817 0.0336110269872552 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0772168018303331 0.0586673609929728 0.0167500617764626 0.0107586278849638 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0501599245474986 0.0383651112462243 0.00677349294364348 0.00462446964769942 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.221730207622069 0.166275540315218 0.154252608143792 0.0864306046700821 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0697967465799861 0.0522686762827327 0.0140003841695592 0.00930498194863954 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0367374873201766 0.0298073288400101 0.00344959541511058 0.00350510631544203 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.029500570354825 0.0299628423474263 0.0020179798163971 0.00531791523239333 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.187580434061771 0.131962955467209 0.11014652298917 0.0512427628059127 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0527329684990882 0.0430866828695445 0.00798610692820042 0.00538875597722986 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0274954343604065 0.0256985645935193 0.0021130812177416 0.00172595991208791 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0211207676281895 0.0230693536234105 0.00131240874415797 0.0012669364310458 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.648333324484866 0.53496260005575 1.65861307392778 0.813730551188254 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.273786666923277 0.209756274867751 0.246073712138584 0.128402771902047 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.15344908277743 0.117246021039562 0.0707671936748246 0.0409721583349528 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0994469889464312 0.0763754229145201 0.028247777754269 0.0176664933368315 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.431053069008121 0.335019343378516 0.656500401836413 0.334531657420641 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.1350911851929 0.100920061360456 0.0567673671508368 0.0326853379554415 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0672810862182147 0.0519104246312869 0.0129377280299644 0.00955865640665714 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0466500169910251 0.0417600934800426 0.00541427540708439 0.00806846802006445 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.367691743255097 0.266730398821413 0.454071379723363 0.201115828615088 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104304409173366 0.0838098573838489 0.0318632423231686 0.0202145658222734 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0514112103416326 0.0466280730185069 0.00750461372662351 0.00617938200709505 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0349217251272778 0.0360104683796705 0.00340288961160178 0.00327897261531903 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.85026286535104 1.71677257563839 17.116573266296 7.37902710891605 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.791395144912546 0.655565464267788 2.53328302744207 1.14188398286073 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.451660913784882 0.358934600471003 0.721391492021702 0.355876204645248 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.2951570778677 0.230758808935523 0.283442319978196 0.150229361396091 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.22961850010889 1.06034089940935 6.70182515031408 3.06997564112761 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394644974771742 0.306713322991326 0.565757511251753 0.286161865218779 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.194414489125302 0.148898535142993 0.123902604325658 0.0729546395422744 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.121532296932433 0.098366622995893 0.0449856500167709 0.0353265817430524 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.04154891018378 0.856962898744041 4.50569225611368 1.87166924937028 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.310410894323652 0.251057207116354 0.318763018482523 0.170594411120981 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.150884525248106 0.135028525514788 0.0708461917130369 0.0525566922589426 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0945339291814222 0.0949954280322302 0.0269710197874049 0.0252876509622586 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.06289525687959 2.95327823966363 50.2251559640658 20.6757985783636 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.28531361447154 1.12436867786312 7.43401970162016 3.18158105955025 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.737032679462092 0.612329366767697 2.11990894422238 0.992086689016423 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.485025123181697 0.390408698908459 0.833828818970045 0.414480888967246 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.00685525370956 1.81747892090106 19.6978169207747 8.69142965864054 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.647821539142278 0.523926593035646 1.67840857107294 0.825412152820926 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.321305905951783 0.251088601791145 0.364820117482328 0.206956970787137 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.198510737981553 0.160619318847645 0.130916065649107 0.0912240530170185 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.68844906731829 1.4879078648516 13.2244494421488 5.30247509722307 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.512307908063381 0.424812541596999 0.95858203854509 0.469682933249946 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.252656631181794 0.22398853466886 0.215715023393403 0.140513745571237 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.157074663240404 0.155386918017387 0.0807592317907668 0.0677358607567136 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.541594939568568 0.440350332572534 1.21383887923159 0.599193563512876 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.224275599754913 0.174674920879466 0.174209620132076 0.0968749562958088 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.125100441341807 0.0979663426261947 0.0493026400007511 0.0308692070167768 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0807358404030883 0.0638881199349869 0.019271078138236 0.0133698869810983 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.357995743639327 0.286376577402168 0.451499744830718 0.276430881810893 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108427789539064 0.0839594558426661 0.0373721995440868 0.0256986915258635 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0552427060415656 0.0440046599684967 0.00879149514914771 0.00759755284168676 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0399241575100332 0.0382499951015987 0.00396593198344471 0.00741412584895776 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.310472643574286 0.23210839482717 0.32302891207131 0.158975676344243 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0832489092191844 0.0704214428886775 0.02071263652772 0.0152062535816906 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0426417687184258 0.0411320571228185 0.00527131534859258 0.00495739618403149 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0302179951050139 0.0328632781065601 0.00262409801806041 0.00288406655545274 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.04812231251499 0.911927951836143 5.31209051098202 2.38952782167032 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.443318213742556 0.353244358201878 0.769760596412375 0.378476336867014 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.249490689010838 0.19576418306037 0.216166526967428 0.117790865136873 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.161186691676682 0.127154783499465 0.083327569092877 0.0506515533330208 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.695034548176769 0.590787001454334 1.96644375480888 1.1074236158151 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.213711935284555 0.166826157946827 0.159352411761923 0.0986186232724685 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.106055289760783 0.0825816710868004 0.0358600455055131 0.0256161728240421 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0695138059680417 0.060176131198276 0.0137371336638968 0.0155457931615693 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.603313542840294 0.476101680214056 1.37630450566274 0.637316366655406 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.166092612398112 0.138640501714086 0.0866969717433712 0.0577250436711884 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0828230128495061 0.0785998793072017 0.0206570931909561 0.018837954679182 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.054381866174987 0.0579225877532573 0.00863575592335065 0.00974034623855393 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.05441702470524 1.90524147635248 22.9906774827228 9.61668505521945 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.866389175724005 0.725055108843912 3.37325329016432 1.50641158612144 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.493839790342921 0.396338571659941 0.954285409036674 0.460790374126506 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.321352333041201 0.254834497587644 0.367476042031612 0.194490499297058 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.34476511886305 1.23295978856744 8.5644030886683 4.49697615468733 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.422278961770142 0.339255702687083 0.698387265683192 0.39206732047504 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.209431880470274 0.16344909270173 0.154524101390727 0.0961445924712677 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.131862198696473 0.1085812074824 0.0567673365146445 0.045906055762731 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.1613436746241 0.995803276696337 5.93548083665304 2.60985619642881 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.332064348585844 0.276172169715219 0.381892201333932 0.220122632341195 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.16581677268858 0.153536640238058 0.0897402319742655 0.0711157833068443 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.105377360065831 0.110355536908538 0.034737677900205 0.0365092800965067 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.19684001508987 6.06059305894103 228.636102435813 88.8403065900901 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.49614824966346 2.29168117410339 33.8245215621287 13.3890827838413 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.41984622407546 1.23832959663647 9.6978390645935 4.04452238567942 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.933143011527641 0.785502894768926 3.7837027196193 1.67786454635455 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.96678843329959 3.94624185901983 90.0732405795718 42.9731262631376 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.23847988865638 1.10111892551606 7.77314475512063 3.80873197674949 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.625091227751078 0.521425139980107 1.73201827419471 0.908794460938118 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.391959758882281 0.32489896383537 0.635326328051405 0.372959158191495 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.4093782943482 3.2595274875796 62.3687454862354 26.2043755533058 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.988110045050644 0.857961753077756 4.25421629261021 1.97050571917845 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.512489016408106 0.452624564889765 1.07832119113226 0.589924790975221 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.328702777797448 0.320529106353746 0.423359819317367 0.306113986315047 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.6621496725946 10.5162470725353 747.568005686472 298.686608060828 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.20398958563091 3.98210090905704 118.891968320011 51.7553095335305 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.3591282204479 2.16804166312548 36.1430175167306 21.1431026067454 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.5473567772259 1.3812046461013 14.9659639428275 11.2533772151885 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.15935741306825 7.17926482258628 523.117450610461 357.631227872411 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.21367245861437 2.07706071441102 49.4689459064939 40.167377199635 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.11278881533281 1.01193969303032 11.1738327496892 12.1532999979653 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.693755488536734 0.622873557571396 3.52103728934908 5.24067449624272 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.07535397666437 6.06796608838478 263.161807445458 157.63184122769 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.74375542414339 1.52261418328164 22.8687362599089 6.5698827350906 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.920949883340685 0.793965934420604 5.1530490452444 2.69126743941272 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.608938667026099 0.553532701747048 2.51752223527792 1.16460962106478 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0134704235862394 0.0382252806845789 0.000402116315603393 0.0101602539703964 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0058692018024123 0.0160265206791041 7.12528452954966E-05 0.00144643013790523 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00477379601142971 0.0127028525395772 4.75774558367332E-05 0.000878420897752245 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00537282984397605 0.0137885102122089 5.56958327628665E-05 0.00108615198018316 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0116461055144984 0.0445103439805123 0.000527924367228717 0.0111644786993875 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00981000441653952 0.0300632034552076 0.000468562107486937 0.00527641798897582 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.013329223614195 0.0392834658797921 0.00105956851850148 0.00976311752598502 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0206174426986836 0.0614853317985365 0.00257572948390798 0.0227153734257538 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00677940975384912 0.0264960109871101 0.000156447529512167 0.00244236807731635 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0051034405430056 0.0153506072483596 5.41873833453407E-05 0.000569063141746493 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00816463677610107 0.017743473270617 0.000140543857753814 0.000634499918886351 NURBSSource NURBSSource 24 242 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0130316342002461 0.0247007239789853 0.000363520790364973 0.00136951117374381 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0644752363893807 0.131461006045632 0.014128569827131 0.0663938349551118 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0257784507878018 0.0522018821285373 0.0022283993129216 0.0103930595689404 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0144781668465106 0.0302895820460782 0.000670171693758373 0.00368001693214244 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0100805212115046 0.0225884964393277 0.000288759638779856 0.00231198755655491 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0408170207968409 0.0934706029780574 0.00678170659217669 0.0352626031086254 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.014795837396414 0.0387351075529445 0.0010800556984722 0.00775273181777267 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0141600797236429 0.0410350953202364 0.00120925761697319 0.0105277901507948 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0207332721391475 0.0620463910456476 0.00261510052864971 0.0231976389600995 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.029447853077144 0.0702819232430711 0.00308220905829931 0.0157256010351245 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00991892712227608 0.0243713278271567 0.00029619223221263 0.0016171778003158 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00943198779953349 0.0203132934821208 0.000216802799597813 0.00091300965724597 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0135437680171148 0.0257493058136585 0.000404676255891405 0.00151367880260982 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.124913375484718 0.244104330019796 0.0583061557603447 0.217364330709428 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0502769876153426 0.098524211742072 0.00904128464277867 0.0354473569470905 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0278568644754326 0.0554906218062229 0.00268327905054583 0.0115037317102939 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0182816855630779 0.0376904256039358 0.00107350121180606 0.00568468072025141 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0790200921590398 0.163089071309057 0.0257309347485649 0.100332789047299 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0252920566788469 0.0563536327008583 0.00300404528487333 0.0144557848581893 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0174333109528979 0.0458664587103027 0.00178560385484671 0.0125365305561898 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0217091720135603 0.0632517139035437 0.00288836130479754 0.0242067478274363 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0573377504421659 0.12826989660103 0.0121098521006902 0.0551276368696265 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0179568055127264 0.0399094603574685 0.00107706572452431 0.00477887793775317 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0124704800920688 0.0264066777933038 0.000446520291334792 0.00176344332373231 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0147935163832705 0.0285181372359836 0.000515431810489587 0.00193046588910544 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.251954581879064 0.469892001581689 0.26099039201331 0.75645447146341 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.099919726172929 0.193480338506777 0.0371976320339155 0.132450705848594 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0552097353751706 0.108158262263684 0.0110116977335661 0.0418311909217233 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.035711537935266 0.0709776510384044 0.00439753941191091 0.0186094714750454 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.156859825708934 0.31012436272382 0.104182337517928 0.346072294098017 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0483531260285176 0.0980482487698141 0.0106193885139962 0.0395938171734244 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0275096399707838 0.0612753691149947 0.00412998371635689 0.0200585237210151 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0261600362663722 0.0684383016371524 0.00414203564892445 0.0280736945022787 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.114236200453365 0.248856273048221 0.0497286067580779 0.210731166949594 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0347999086188531 0.0741108171072516 0.00431742727516124 0.0175771650114623 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.020750279633961 0.042997239348511 0.00141919404297724 0.00532631621259825 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0188554593881692 0.0373679212165804 0.000960965861402132 0.00365291985767451 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.85373599281752 1.2941788549629 3.67689156191527 4.97428202514312 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.307612014066918 0.565923274739042 0.389451400540311 1.04799049496126 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165826350382067 0.320284951516696 0.105140709523479 0.350347813268458 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106604907952784 0.208070742428096 0.0418261925030137 0.150252261890658 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.500664977395164 0.876794396780903 1.23106347307669 2.48008334618479 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.143760965609223 0.278291112794162 0.0951246140937001 0.288637725655202 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0752044511563657 0.143667554609348 0.0282047176437406 0.0926990939096454 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0567723475476169 0.110825073182787 0.0177255622338261 0.0660662274906838 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.363886541629987 0.715741313439715 0.578107813725893 1.62822639676078 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.102667655095036 0.217176098077223 0.04015505362291 0.1542057076772 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576304996807888 0.119795649181279 0.0125180679480266 0.0451355386664065 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0425399545602782 0.0874636826591719 0.00615559971215538 0.0230587392642929 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.54021407652432 2.05135898871086 12.6393818204499 12.0481877844646 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.538691282044814 0.913550484439766 1.30765578889767 2.56040971161127 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.281247719116811 0.526982334192076 0.317362089935953 0.909670843180844 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.178501309083751 0.344395994499247 0.120976400426625 0.40201583854713 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.903248794126978 1.39180236526007 4.37761634537003 5.95544686259451 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.244134227655992 0.458275287074276 0.299938850534169 0.748007254229109 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125413163793059 0.233024742892978 0.0800208242492994 0.227752529795475 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0917331767354011 0.16582405814388 0.0452290267131805 0.1367469990564 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.661151703446125 1.14223384384893 2.12244162246705 3.87662174324295 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.170749133281991 0.361127850569198 0.114720512216541 0.421246090721962 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0949192129506897 0.19940094776882 0.0355735498794289 0.126093682063782 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0686351267010866 0.142000173013606 0.0172580780660367 0.0629657336323627 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.198994766912313 0.386277660033702 0.172510556457211 0.524814747024684 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0790350654723941 0.157082204225827 0.0249597342855654 0.0904730164259076 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0437410595596988 0.087667301347318 0.00740498525715719 0.0286506602158638 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0285031646639547 0.0577529281248226 0.00297607737252445 0.0129592926069097 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.121658991510743 0.257008337810247 0.0653187542606477 0.241699122536881 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.038427536588873 0.0808162547721929 0.00669192898706788 0.0276549708811779 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0231206133033475 0.0543336563474537 0.00289993197143317 0.0164167436312939 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0239327075311173 0.0659814689840268 0.00343280425044351 0.0260209632122566 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0918471649566804 0.204137486441127 0.0347046137042605 0.144694812068047 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0273571425423783 0.0609588608847447 0.00272467027350145 0.0119354947640372 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0166791212047517 0.036702501740501 0.000873377752480199 0.00368583057971828 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0167814177520527 0.034046934723464 0.000750647259489199 0.00293997221504587 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.417208137936436 0.740265455167328 0.867917583825501 1.75480082099949 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158627179327882 0.309762514404691 0.106350320930696 0.338098430609012 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0871325636271388 0.172825780222889 0.0306654137474934 0.107981347597041 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0562912491249535 0.112170553162156 0.0123192894090898 0.0466007807067489 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.246672632243069 0.498254051350459 0.290971853163802 0.860089078150586 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0752390908681547 0.151481629550833 0.0256577451393866 0.0906172728966921 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.041201600487372 0.0846337466772439 0.00878447367617442 0.0350120521366178 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0341271467487605 0.0782855419140198 0.00674386921032778 0.035442287102131 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.186042263903308 0.39936517721349 0.153688152563288 0.542984675442887 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0538528194709572 0.117734330567361 0.0110340817464702 0.0459077136580461 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0304041420329751 0.0664555321627861 0.00325439510422393 0.0132365349842436 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0250042560937229 0.0523075502409785 0.00196069379533749 0.00775271172555506 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.924985658503937 1.39165174368761 4.72338834563676 5.62124971374734 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.327417758490834 0.604881983528091 0.500599396543608 1.20006646424161 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.175491449012147 0.342212029683634 0.131099501434634 0.406945177162227 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.112480088240031 0.222025344608449 0.0515671833731468 0.176586143800664 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.533982576256654 0.949449513677861 1.52466455279652 2.8692322410141 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.150822634064004 0.296236776234006 0.107029657582282 0.331787455122037 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0799381954281686 0.154565140980825 0.0324826400846451 0.105607574758629 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0605168668310921 0.117159506579738 0.0203421056230917 0.0720058169637642 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.400054716105212 0.767513944182529 0.805765120295579 1.86339784801549 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107077555500841 0.232689435846428 0.0459632661944816 0.179294519730168 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0593590330502924 0.129494294289664 0.0132918002604374 0.0520612210886094 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0446888006084583 0.0948376601972464 0.00716571385393782 0.0276236191254191 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.26190959754656 3.80866742593419 61.4291367082295 39.0074550111453 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12548115856573 1.6527436522303 6.91032620393795 7.79288965738306 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.56802376548757 0.967922624888028 1.61194702818342 2.85382858834246 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.349679452903783 0.641968585380915 0.564621030522632 1.33125912911567 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.94841211568614 2.59308327239799 22.8397315847398 20.3908764532257 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.497401045924501 0.858242983221643 1.40333719878327 2.65778945715341 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.251082088963643 0.447926905875219 0.359384101060911 0.83166212357646 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.181586386159096 0.305589920820916 0.198794826134542 0.440766622234329 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.50386361629481 2.09861733741265 13.3009850657753 12.1837902968774 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.344480833097953 0.682658267447446 0.564735913371431 1.41040757810382 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.178784389860417 0.386516778396446 0.138164426698813 0.449363472453637 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.128860390203726 0.278788729746829 0.0705400334536784 0.24184065976393 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.68855974174916 6.22280619540885 187.074133498254 103.719501990086 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.00130303547666 2.59044911873917 22.0393789829706 18.2266170531979 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.01009457209495 1.51348394753141 5.30553805454392 6.50411496382652 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.613563286672068 1.01154452089953 1.86198166220796 3.07622706199233 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.60146520653892 4.26252300551964 83.3794603281322 62.7629185407231 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.944121811497293 1.41556114986781 6.25837003539725 8.1496832744425 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.468298130434505 0.749476881585113 1.61774942897727 2.55091480593954 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.335005477817111 0.506657082771688 0.859483297518041 1.29588343249783 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.78803273895714 3.47281362532927 47.2380626744158 33.2816705046867 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.643622672172819 1.1271591200107 2.2348615360463 3.63560421220273 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.318479831496002 0.657906079251586 0.495320524523864 1.27141720777392 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.222004236444744 0.486631303101753 0.233999313731619 0.772900412456044 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.011269979395767 0.00569363581791629 0.0002976854307202 0.000135330139595364 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00396766219968518 0.00298582684818738 3.35960954650075E-05 3.39410654561767E-05 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00274246355416638 0.00271494327139085 1.4984852092112E-05 2.78994044615972E-05 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00280361495691395 0.00298870051827127 1.3840530977345E-05 3.47053277764179E-05 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0133640358053824 0.00704482232475572 0.000460927637658727 0.000188145684067614 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00649713665524739 0.00708482486580083 0.000124437370872809 0.000192534739332696 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00605664412902196 0.00846610265828024 0.000131407181600761 0.000304248283270293 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00742578023054318 0.0116577996924266 0.000236176585738857 0.000602915168880267 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00686550585945196 0.00289106742321392 0.000169984071057303 3.01580072472817E-05 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00323158649604061 0.00284464440770965 3.72982886034478E-05 2.80817997864733E-05 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00453783267697434 0.00531517925898713 9.51948290636211E-05 0.000106125718056178 NURBSSource NURBSSource 24 243 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00733462513384474 0.00856717048196061 0.000248626550551935 0.00028269598479938 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0918024937201119 0.0380944362301283 0.0223514752017548 0.00430236601419366 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0375653913015648 0.0151769424097571 0.0036700897242422 0.000707436353708293 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0209235057353894 0.00870298576991585 0.00111586161449659 0.000235659497150267 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0137104495106559 0.00613953680473829 0.000458638944340979 0.000122866453792403 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0589795582042693 0.0245027653390116 0.00915651623066543 0.00182822788000317 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0186611561872867 0.0098595593890411 0.000914282229776175 0.00033640209831586 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0105732783388501 0.00913630459055548 0.000318721534885056 0.000339237911821119 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00934008513506451 0.0118256631912706 0.000306284831677156 0.000617425107376518 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0508617865659174 0.0197519888766472 0.00713324951414751 0.00114318559755151 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0140205335435389 0.00632272314574034 0.000525370318618748 0.000121914293506926 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00843199761929789 0.00625433588201299 0.000215449584804526 0.000134611926210912 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00878968166419566 0.00883012176386871 0.000293571083410184 0.000293424013528997 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.177761746632107 0.0789838745026611 0.0898577479793892 0.0172287697601365 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0743940876078312 0.0301162889526252 0.0149787310245138 0.00265797418707295 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0414052633383165 0.0167538092787705 0.00454300963043366 0.00083828757451408 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0268226987919278 0.0110865254085933 0.00185445161266597 0.000378068141854372 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.113231035244464 0.0485552100212436 0.0357538394718284 0.00683457990694627 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.034954444494388 0.0156157509120319 0.0033292400223886 0.000784082066863171 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0178609618813876 0.0109344519148192 0.000881300777342024 0.000450233739373676 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0130726383677858 0.0123913587398481 0.00051313960351507 0.000665402214634615 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0999948916569398 0.0398157295807768 0.0278171219632216 0.0044581160913703 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0272717301055053 0.0115250884442089 0.00197827350059394 0.000397763406246559 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0143092540065066 0.00814466775165323 0.000558222380288296 0.000213643880473146 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.011615552653555 0.00959158567821709 0.00042350664647459 0.000329701258809146 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.334882460109518 0.176629278589924 0.350907011544446 0.079189575577623 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.146798107469518 0.0618210620791961 0.0603938738889629 0.0106728739744617 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0823495620468357 0.0334436311845828 0.0184657455035124 0.00321453941954977 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0532846011179008 0.0215956615072399 0.00755805596872814 0.00137563746839575 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.217583218193558 0.103195363130825 0.139900222723824 0.0294037648894289 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0683607506381518 0.0291011574497143 0.0131062410259923 0.00260668168297221 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0335658900612629 0.0162032664217782 0.00315211939065042 0.000896578290370036 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0218302682100681 0.0145780123394189 0.00133470927477448 0.000863104199586436 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.194047216828462 0.0845600963017178 0.108502476888458 0.0189823424102339 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0540445231433689 0.0224906201458868 0.00782882649007088 0.00147822620573805 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0268239429291317 0.0129323658157171 0.00192189835257696 0.000516822880581772 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0185779631113424 0.0118118816017759 0.000942527791257018 0.000467846999339563 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.881000393226766 0.662614128195142 3.06766113794823 0.927401704686465 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.405546603226914 0.219214100860273 0.51768398667556 0.120693937627289 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23865054223263 0.108102074601878 0.164440214329383 0.0313222519748965 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157333975822768 0.0664635426444562 0.0688674623514981 0.0122482326536972 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.580906010552613 0.379460988199748 1.20013347932082 0.347277977033454 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.197880958796255 0.0913607923509339 0.115430284131556 0.0248222905519889 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0976513994919617 0.0432874339497003 0.027515984946802 0.00580107703162314 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0596976960497382 0.0292529208477752 0.0101595594153141 0.00298436216496857 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.516573730626466 0.318147107552659 0.914138186744679 0.234330987584113 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.159076165363014 0.0696373242363304 0.0707815365276428 0.0129925424064138 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0781493046325075 0.035417279174006 0.0167915813991703 0.00362470208331494 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0497393459278238 0.0246515186843632 0.00666205515762794 0.0018767950263424 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.4099329862768 1.1899106479418 8.59652257900033 2.77071188979009 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.634398495267864 0.406182401032801 1.39775110653987 0.385132512343924 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.379972027074474 0.197544327988961 0.442209220037907 0.0993437448753665 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.255349871653571 0.117189277097957 0.187668169105003 0.0366545318005002 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.915038089403889 0.691023963273325 3.31687001706878 1.0688460058461 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.317527535093009 0.164870858768404 0.313510217514284 0.0787783548759219 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.160125086019426 0.0739066501951663 0.075503002712968 0.0165714211607927 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0981490784735001 0.0467079390665296 0.0279797342358512 0.00726410277158204 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.808111256544453 0.589908517138577 2.51261020483271 0.740767393569007 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.25745244305417 0.123480579196191 0.194857363936411 0.0381878076879561 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129144294141406 0.0593863404367168 0.0471504380908092 0.00965724697072722 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0819068836159363 0.0393562823153163 0.0186109865020326 0.00455483775012606 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.271889265815568 0.136770193518881 0.220546038488096 0.0514109371360189 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116723504994558 0.0494424096567757 0.0377546871667674 0.00710261664634195 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.065284268184211 0.026896326647732 0.0115704097879525 0.0021465547197924 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0422960952915778 0.0174784365222176 0.00475581606350502 0.000928792854494433 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.178069433835152 0.0812836300616498 0.0904812585450599 0.0191179671241209 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0549221305871583 0.0241594336090877 0.00855730214855117 0.00183011697868887 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0272245426740027 0.0144129334447161 0.00210144596656753 0.000744668530690318 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0182653655746684 0.0138281653061608 0.000961659235366828 0.000803306420959039 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.155026545342269 0.0652963712476514 0.0690188248487809 0.0116954700226336 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0430664869148954 0.0181017077255493 0.00505064555294681 0.00098680869126042 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0215871065460474 0.0110288540127132 0.0012514743825898 0.000386876709438389 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0156432170174823 0.0110444145491174 0.000693331597401976 0.00042291256874577 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.503024104673475 0.313451859931605 0.857018779500049 0.245576065176337 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.225889916006992 0.105780809731185 0.147995530436747 0.0313238808030442 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.12890145920458 0.0549513153522822 0.0463111754849627 0.00869637544298279 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.08393593767789 0.0348899962796255 0.0191952759328754 0.0035789924456591 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.337039918578497 0.179563172943546 0.352172199308256 0.0895306602065271 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108266409647485 0.0471368555273519 0.0340989833673952 0.00677353359884481 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0528129525974856 0.0244409096409513 0.00810638803237107 0.00198145682652435 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0331013998675015 0.0188484614417561 0.00316707222626005 0.00135364103853126 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.295033549535133 0.14481577248281 0.266797069200888 0.0542388152300849 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0853620583054498 0.0362182598785754 0.0201692169997103 0.00381794690546337 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0418349611447107 0.019668696240631 0.00473457293162177 0.00119758176180811 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0275322476275026 0.0156461245260666 0.00201791630506639 0.000816285329345893 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.92859720456985 0.715484816816568 3.39150493341555 1.13165002742507 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.422940987721092 0.239756948910546 0.568020638173294 0.150978901510406 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.248906540600236 0.118284340880219 0.180541032521821 0.038819839376011 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.164855996832799 0.0723164121965357 0.0762017438139701 0.0148485032037995 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.62205493217405 0.409892651801803 1.37559451878558 0.424386845145077 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.210873622247007 0.0989592529838087 0.134254491191737 0.0293789671831819 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.104262041939113 0.0467449887441957 0.0323808927333863 0.00698717140543492 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0639472665259356 0.031588382795464 0.0121597979132452 0.00349171723704539 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.542665530906888 0.33688699160636 1.02650706982247 0.264800799465639 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.167532225732948 0.0753077070521474 0.0804270632607069 0.0156220318163092 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0826712207968544 0.0383207369435754 0.0189316016681744 0.00435003913587136 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0524260917223774 0.0267733243453814 0.00741711532746504 0.00232830391019186 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.6258117703602 2.44296283013116 31.4213485169373 11.5629113225359 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.11420601748029 0.879108886437338 4.87680177783351 1.73819681360898 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.661802813309155 0.437168365791487 1.50503960776462 0.471447331850401 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.451394281192384 0.257569737426253 0.638550909007244 0.173047779901305 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.69816653476723 1.46509465267457 12.7796271058021 4.68906692257 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.578290039652003 0.362790075188672 1.20502549366239 0.372888744394343 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.299823653803929 0.156466681889139 0.295629887093017 0.0764691059302288 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.187248937105509 0.093872737621499 0.113146944653881 0.0290599581468985 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.46582938461242 1.23791462760684 9.37828944662377 2.99173975705069 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.458616980436718 0.275152945500953 0.700915043007304 0.179441288994977 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.239401170438003 0.12321200995548 0.175094736191658 0.0398349300669605 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.153352319658724 0.0782636031906251 0.0694860120259007 0.0175560372363273 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.36669073212839 4.21346363570273 90.6492783995957 35.5209023759256 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.78713353750812 1.55712945012907 13.9484676292318 5.4130750423232 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.03824054168397 0.793161816683522 4.19409304302364 1.52428931294632 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.705610423599022 0.473184006812873 1.74879522558507 0.577109048650648 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.8451973525208 2.61191368759789 41.0840782941617 16.4902405739596 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.940558507031834 0.682851787756223 4.47457140053686 1.35283851043358 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.492463494188799 0.294418846536749 1.15789153251163 0.270401912251441 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.311974839566854 0.171684547268991 0.47675055511039 0.0971757792931912 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.44546854374711 2.22969061833049 28.6186763380532 10.1554960768832 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.728212875661799 0.52528151561323 1.98640121161497 0.745313680960573 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.386963169696448 0.230887837978076 0.50386392859238 0.171851784576873 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.252905196278959 0.140932675845669 0.206896300619153 0.0705846698739329 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0147113033416604 0.00879751885649072 0.000520916817806731 0.000399286979153976 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00570367322238112 0.00437666023069096 7.19043187673536E-05 8.15479630307977E-05 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00427621760753872 0.00422604481308594 4.04494199526956E-05 7.01919886451874E-05 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00450908324813877 0.00511666356344503 4.25785731372536E-05 0.00010071518519617 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0173084524614188 0.0116021359521717 0.000833401005868045 0.000744654819049222 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0105352038049341 0.0111236234434352 0.000291217881512787 0.00061300524203535 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0106181186874228 0.0120716210974711 0.000279961054495688 0.000778739374171116 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0131669741661378 0.0149471175370534 0.000379986497196766 0.00143000359915292 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00854766322024769 0.00518806214518243 0.000274946820212466 0.000118127981968574 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00336476791710847 0.00492287982258282 3.86011472540771E-05 6.98515069369039E-05 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00339581378385686 0.00912124088616046 3.49486052489445E-05 0.000246534540859894 NURBSSource NURBSSource 24 244 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00468705767333308 0.0150058701531449 6.11644035285993E-05 0.000671364313609352 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.101576533396768 0.0486797618435624 0.0274225533361971 0.00758990997933307 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0417452497716804 0.0193944753648443 0.00454515028344835 0.00120199135220815 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0232380079327716 0.0114074738992569 0.00137964602780448 0.000396012375760755 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0154529887879445 0.00877986523503784 0.000576371372645258 0.000233888378434795 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0675380914799723 0.0324660240193477 0.0117968163807815 0.00368980063503458 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0222504240521417 0.0143261474168732 0.00127130648087167 0.000886726626287779 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0145568216018259 0.0126534219960976 0.000510347642603968 0.000842395641120329 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0147229295485166 0.0150951983661314 0.000469151445389491 0.00145574192777999 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0548158729074436 0.0248109053216561 0.00848139435857678 0.00190785700144577 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0151947160149996 0.00850116951335914 0.000625728501311105 0.000194898610237504 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00806071727139925 0.00993449997289809 0.000172993939896392 0.000275359928747671 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00678782539580593 0.0151819420356757 0.00011733282798258 0.000680492227915693 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.195876996998641 0.100031210871046 0.109908580060412 0.02978559734394 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0824665944708645 0.0382140960042482 0.0184634912790208 0.00449884486905011 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0458616977009893 0.0213338744282189 0.00558069930377239 0.0013699429344398 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0297799495091505 0.0145853768541452 0.00226938902442109 0.000626963681773536 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.127946338251555 0.0620223533509687 0.0447453154629542 0.0124293928364054 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0399043365980887 0.021114503639393 0.00431998781021944 0.00168588402748245 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0218426046091668 0.0146823150912457 0.00121814464142419 0.00104357700296509 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0182285329988615 0.0157593317013988 0.000738199621088278 0.00154405314726619 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.107429209212295 0.0493062039098621 0.0327120272410769 0.00735638605794324 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0296482272617947 0.0144719621075501 0.00237014066209307 0.000588724741283727 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0148132073169075 0.0118690857698719 0.000583349463705159 0.000367619624615968 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0106622182701204 0.0158060206182796 0.000287620509725507 0.000716843084032702 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.370100250849805 0.219409705559499 0.434455321817757 0.130845739065596 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.162085573800656 0.0784335815338956 0.0741164013037118 0.0182288287189994 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0909860720683174 0.0423538871361453 0.0225949899563438 0.00532526141084292 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0589031318383983 0.0275371292759697 0.00920464472020641 0.00222589558258127 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.244068490426936 0.129563776755058 0.173344835908438 0.0514920280534898 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0770007746460973 0.037438029796567 0.0167278458724013 0.00482753485250473 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0389292361951945 0.0210007886634078 0.00414531807229976 0.00183154115093641 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0274097775688384 0.0184294927924113 0.0018393230505356 0.00190115928847823 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.208765404067502 0.103298445517704 0.127243499666185 0.0307703230955867 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0588320895547091 0.0276267386722079 0.00937001353321889 0.00221153760748766 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0289198631350595 0.0169942102235862 0.00223311126174741 0.000748116074787703 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.019406900626602 0.0180319689057001 0.000975005110906141 0.000872580089464446 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.998189438308409 0.780095263987277 3.93704472321526 1.40042332707167 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.448162306376171 0.271929419363387 0.642184748591538 0.196784164972133 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.262003754124357 0.136983867589121 0.199830848863076 0.0525375876078634 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.172977112754305 0.0842321207806101 0.0833430136023175 0.0203189561327814 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.650379401948191 0.461598545502418 1.49510923284465 0.5662086517742 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.220322111551758 0.115380322812736 0.145102049518498 0.0426688025618443 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.110751873829217 0.0542925735391624 0.035445621630867 0.0103740857966709 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0701145049259423 0.0357576781789664 0.0138943490855587 0.00539346812360848 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.562794565379551 0.371388078195503 1.08825204506368 0.339694202463571 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.1733343077143 0.0845136451040846 0.0842521981483814 0.0200578400383128 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0857158956805542 0.0429932776585893 0.0200700145149983 0.00501504586617411 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0562251468050966 0.0318571211551956 0.00848572616812302 0.0026213786689874 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.60762008564217 1.37818171829307 11.1298798880102 4.07122261652362 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.708076277706132 0.49225923366127 1.76271517669763 0.601703980778531 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.41779682826353 0.246189854657919 0.54188975633667 0.161363487598379 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.279901501568747 0.147947090159003 0.226883848591108 0.0605014170137741 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02784607179142 0.827172982235416 4.16352016947801 1.68957751932304 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.353249280677692 0.205155508785003 0.395548465938485 0.129804516962894 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.180668351648946 0.092111908523398 0.0971062630460119 0.0290905244212844 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.113993984714146 0.0567694479428958 0.0379864026457863 0.012589137547838 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.888169258559872 0.672965662864559 3.02590634852092 1.02592219230237 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.280837417208713 0.148776547476223 0.231190433173327 0.0584910529716503 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141757767144252 0.0716741021731657 0.0562187035716827 0.0137534594986866 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0930880089947903 0.0489257079024732 0.0238254239396706 0.00623965035020408 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.297287214238293 0.167859266914864 0.278116402825929 0.0818077657553379 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126786153996206 0.0615483969636042 0.0461348474118548 0.0119573174355568 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0709204034307627 0.033575500857443 0.0139975426525898 0.00356094561288761 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0460310905718755 0.0221247351265266 0.00572355456006214 0.0015018248678527 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.197807044331122 0.101823898780025 0.117582585997213 0.0323531788979556 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0627029558526756 0.0304645395612762 0.0112581262743817 0.00328317518524798 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0323937148256887 0.0182851280484724 0.00287955868887184 0.00143936491867824 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0237007397647477 0.0171942988282595 0.00134741203554685 0.00170091109750577 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.169035676506763 0.0802124676901521 0.084666437361724 0.0196991073996998 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0462631392491526 0.0220971024808914 0.00595230074585431 0.00143632298100006 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0233037621294124 0.0148852932827526 0.00148532997915453 0.000563153403537591 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.015848034512443 0.0173310803420038 0.00066563602265474 0.000821963852525267 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.554250300280165 0.374612295513998 1.10865295611594 0.364738170187722 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.245686815938916 0.130187962362595 0.183415592719371 0.0505120457507397 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.139832869427527 0.0682573084368331 0.0563662161706695 0.0143716397982736 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0909809045213415 0.0434767812263727 0.0231432804790088 0.00581314775074986 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.372302423707669 0.222745192023795 0.45806229037259 0.145476521595929 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.121573375495499 0.05873809898543 0.0438585989308846 0.0115794401971984 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0608753337288401 0.0300111308321428 0.0107738367656255 0.00338028159840606 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0399170173147932 0.0229267554742228 0.00431141992981939 0.00252319741472242 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.32146951045055 0.175474926275625 0.328690451294124 0.0872322316779222 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.091772225657546 0.0435546745797814 0.0237765004053649 0.00563802739268603 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.045922444760687 0.0242490426947401 0.00584500834854122 0.00155991984898999 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0302155675103155 0.0221249091249089 0.00249248084619671 0.0012734593834217 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.03667485886922 0.830262572197876 4.49578173617318 1.60285170014779 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.462459993504582 0.288123315439847 0.719641069237811 0.227906512412499 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.270284668630307 0.145261539254769 0.222507658858159 0.0620056058753653 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.178445986941653 0.0894310633173605 0.0925567797490437 0.024024627701616 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.692844934545151 0.497488785232706 1.81640585514333 0.665049189587822 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.233984481346506 0.123731031726105 0.17083360696381 0.0502732585585531 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118032438519629 0.0577913478272917 0.0419780500167456 0.0117227819058097 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0749170584518699 0.0377282723839565 0.0164076305828281 0.00576219213661879 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.595176503481751 0.397674693545316 1.28729406381037 0.401108915606079 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.180154991824568 0.0896131971135619 0.094770250460275 0.0230114165121017 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0910547835623673 0.0452885876164022 0.0234825677524696 0.00565461621720418 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0594288317684654 0.0342755094525629 0.00993243069990367 0.00319000533443499 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.97441038092367 2.76796849136067 42.7682638011398 15.8627689877273 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.24294405250339 1.01317970706278 6.43235045378399 2.41225718055222 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.728551126243313 0.513596417220436 1.92805186644186 0.677857052674039 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.491800562749315 0.308173365144805 0.79742310367794 0.258226142225847 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.93180740272166 1.70868014808651 17.2441238695924 7.10290923953048 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.641012319879893 0.444672546396562 1.53909641033824 0.623116179123617 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.333894013974349 0.196056046655074 0.377209402935185 0.13715358593586 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.212718114534804 0.115133137893282 0.147245021068911 0.0517435351387072 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.63567386756329 1.40137647420597 12.1100733333613 4.21590702192616 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.498337588858173 0.315666121835676 0.848537493125875 0.245628484663023 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.263199851023403 0.143011277017453 0.216155478219187 0.0520189665042882 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.175227479238648 0.0938950176678212 0.0945478802705695 0.0240106534177378 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.96460037250602 4.76057768540031 123.744186624457 48.8537749807738 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.00361564036154 1.77102898393495 18.2556527503422 7.2456146318533 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.15134409745178 0.913456171783218 5.36316434224653 2.0571975054992 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.773183607518175 0.5528922929435 2.18020911358265 0.794980847942237 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.2410579237223 3.03097304143383 52.6105542002334 27.7477371024169 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.04358030287685 0.829305058767778 4.77663655763008 2.77024243752662 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.544439679779372 0.37085023700856 1.1592750481356 0.648774098453396 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349229630701511 0.215642944391441 0.454388388433533 0.23977154881486 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.74212045349009 2.49343986450449 36.7354606812561 12.7569612590546 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.804798929722284 0.584230535913912 2.52408572918408 0.772857572487119 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.428265156333355 0.263888061521529 0.653637366412799 0.161799299669138 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.291386810926999 0.166489472634484 0.298661405988131 0.0717703135155059 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0270572866502498 0.00788775265329926 0.00156612595605451 0.000307067835136919 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00912010726417403 0.00329542309884989 0.000165928845366328 4.57483940632289E-05 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00584645378454306 0.00261678358035044 6.24873165310391E-05 2.40809858183972E-05 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00560531968344066 0.00290352720597774 5.61707461034109E-05 2.73858856738165E-05 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0301173568178034 0.00723489031904209 0.00225819415986284 0.000221652139961657 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0138593970682428 0.0063859084005452 0.000411152028595819 0.000125333320393619 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0119496487390041 0.00676044083162457 0.000254878332031117 0.00012991869905873 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0135723194483692 0.00856314173234278 0.000297304518775179 0.000245822717198588 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0182129056780721 0.00412412111249696 0.00124830119305667 7.00982203498973E-05 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00810810316513966 0.00255026353781877 0.000204199683474317 2.47179194337333E-05 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00709608457824869 0.003346367305166 0.000135189556964441 3.73241155952046E-05 NURBSSource NURBSSource 24 245 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00930578997732887 0.00498666702913907 0.000205991372579645 8.21502753684917E-05 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.12316259927321 0.0424697228298827 0.0361138062509475 0.00568891205775941 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0498699931191815 0.0165156521671446 0.00608412059650776 0.000877983812360351 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0280533620293766 0.00927823627674722 0.00191535846722498 0.000272795012876633 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0186181358779127 0.00646837123715269 0.000825169046279327 0.000126918620643478 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.08674491942512 0.0260666485691083 0.0177481414331781 0.00226889579119027 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0273171293061972 0.00964778391892556 0.00170083416592437 0.000301611285482403 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0164859401933032 0.00741071425515677 0.000541437996073285 0.000166498329658755 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0152435944714863 0.00872161522344297 0.000395141083084961 0.000257010321629026 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0678628345092944 0.0188070080597822 0.013223443233139 0.00116368988726895 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0201538672176496 0.00628555444319326 0.00112738267495722 0.000136283202559164 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0119845694214855 0.00476064837961513 0.000391382163186766 7.56117969287836E-05 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.011483526215889 0.00555223525589652 0.000328044711132645 0.000100801029805561 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.23543823089148 0.0865973048615812 0.145061217037931 0.0214625640103897 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0976131891774261 0.0328454205648136 0.0247616664933996 0.0033287644891841 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0548527121105656 0.0180792150186255 0.00774020087511355 0.00102070672128571 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0358140515179086 0.0118853010600815 0.00324850507044783 0.00043250526991594 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.161051955801851 0.0510058236926062 0.0659461118325454 0.00819473008638463 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0484330832676871 0.0160065024322171 0.00578610402120449 0.000840775210036048 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0253927633043928 0.00960848335830165 0.00143801405029358 0.00029066014251465 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0191293751490899 0.00943069702288896 0.000690301751142019 0.000301741175336826 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.130285239560039 0.0370391581372714 0.0480073605381018 0.00435055333127158 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0374205447776481 0.011689504273855 0.00386319389621883 0.000462634597022992 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0205385234638406 0.00727408412569229 0.00115954101619184 0.000185275685035404 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0160708003413652 0.00681928425603481 0.000679685658267043 0.000153651137426776 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.446450625391087 0.192906085762977 0.568135018602491 0.0966510789249038 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192971635848612 0.0668003878354319 0.100497411378898 0.0129490727140014 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.108823819533982 0.0361629252324893 0.0314390866336196 0.00397393078237634 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0707968626310223 0.0233134496343688 0.0131378608013759 0.00165983194708666 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307792846667512 0.108500770404496 0.255067888526075 0.0343750915900058 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0933385056907635 0.0301891903237766 0.0227111538855992 0.00294658636827597 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0461979272210646 0.0156938052599599 0.00522057564915773 0.000794471408715759 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0297513280673358 0.0122454471189751 0.00193659819269967 0.000497115965876101 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.254339895346473 0.0767475402163979 0.183543103597321 0.0175691440968633 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0732628128634886 0.0230114893655578 0.0148039594734059 0.00175469075369091 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.03909438688621 0.0130717856986772 0.00423791073335018 0.000613207548506392 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0274782468566999 0.0102171166518296 0.00208194322675961 0.000357602308203545 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.15287473256753 0.762195205423509 4.76318804762958 1.25496026627422 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.542297181323582 0.236334345060388 0.860677944320261 0.145300887543037 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318554209696403 0.115531054347276 0.280680757255969 0.0369704024418999 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209885191014505 0.0712847941988271 0.119321015006957 0.0146550278050971 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.80520605006487 0.43292669343401 2.06568498381486 0.479815574331331 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.271380992671082 0.0942325190625529 0.202658160080458 0.0271318571128104 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.133221756421894 0.043821992507527 0.0473411558593919 0.0060674514754265 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0800912591293123 0.0282199425912049 0.0163703041134446 0.00260466456636186 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.69053503753628 0.299450038364072 1.48427862419155 0.23138554973428 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.21518019687254 0.0717818092174281 0.130378859720837 0.0154550459856277 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.114948675318954 0.0383933650709082 0.037394660084873 0.00499012821493315 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0773977149237255 0.0266154729064792 0.0171925499408737 0.00247555693167772 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.80135206154811 1.40840157139006 13.0527750189925 3.92201316114293 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.846772106261738 0.450430553926973 2.28033520688814 0.493900658716842 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.510922047636881 0.212145674284043 0.750868393390506 0.119339756774987 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.342995429207508 0.125289953477831 0.325017538236297 0.0432650397024855 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.23709871846532 0.827469566357321 5.5118097372685 1.60200201109889 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.437769268744126 0.171899286071853 0.546578656377058 0.0891811773298119 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.219320077582785 0.0749348093998135 0.131653698599871 0.0173614102092 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.131860544164339 0.0461919274037988 0.0462102252061822 0.00691740768254082 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.06277862805258 0.590998278345566 3.91276928909957 0.816323698409071 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.34896617843442 0.129325434590382 0.353438796086069 0.0473398420009919 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.189874329678693 0.0658142022361741 0.104133300031445 0.0137479940133978 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.127655470774445 0.0445356539689576 0.047824307132019 0.00667744414111319 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.365403978726771 0.149198667860156 0.377763191838706 0.0607574862000281 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.157020427229916 0.0532501427987329 0.0669694894596671 0.00838028877592123 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0884145362321033 0.0288605374324778 0.0210431318366188 0.00259148639769598 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0575318831171594 0.0187973431851643 0.00880058488999045 0.00110499664787911 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.250107990208254 0.0847223891277576 0.172698273022373 0.0213268880375908 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0768611019542245 0.024506710817932 0.015837099838732 0.00192905838706133 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.037900451498059 0.0129808534396576 0.00358376735752396 0.000531240057973236 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0254891566074036 0.0109545281667236 0.00140535388673133 0.000399198333292518 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.207461652855164 0.0627850213379301 0.121552843099332 0.0123983859930334 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0606431566080906 0.018607130509351 0.0106297579929836 0.00116751028160101 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0321589664385469 0.0109065541418085 0.00301955909329481 0.000422576819217663 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0230876316775013 0.0089078919022075 0.00152677698689302 0.000264301815645124 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.676773580672984 0.347614606486595 1.45120767545359 0.303855073978989 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.30654084637995 0.112763368610727 0.264576956598778 0.0361772563751731 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.175387221291415 0.0584873215548511 0.0846904748466562 0.0100520063959398 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.11438805279954 0.0373981627130857 0.0356358370348219 0.00424013506812058 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.473443083512371 0.19075715374049 0.664459262860028 0.101410159369155 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.150803228890844 0.0484021951601949 0.0636902431579369 0.00739076737709054 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0726221637647767 0.0235885466149393 0.0142003463543578 0.00176246109742706 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0446510249966876 0.0166195252797868 0.00498698952640071 0.000931453590136997 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.400010502182381 0.138185007626814 0.463848377885096 0.056224928837251 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119860242567658 0.0374497363665938 0.0417673147302943 0.0045572909411056 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0629725366745446 0.0210846178888656 0.0117269621970031 0.00154863655862691 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0432105461887532 0.0152244004544001 0.00554546533295791 0.000791778737586913 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.2289535856312 0.823131004758322 5.58933447352761 1.50351432987336 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.578898086750412 0.258422179918543 1.00831296786605 0.182943422349616 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.341878421255458 0.125185803434092 0.330720680962794 0.0449753085622332 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.226146902780925 0.0768168413655068 0.141704873261726 0.0171801425253606 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.864236751548373 0.461185977020096 2.51397649683365 0.536598539620877 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.295829898750989 0.101320232520561 0.253740359657658 0.0315582478881512 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.143342699413697 0.0464415822191832 0.0578446906724587 0.00670442202163259 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0859061542531739 0.0302520628293021 0.0201115489887165 0.00311030073263788 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.737513075231459 0.338434997994606 1.72509118833467 0.297133775554091 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.235786504178375 0.0786277604890084 0.164569051123431 0.019057792156856 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.124639633758118 0.0426750906218558 0.0467247563315502 0.00608699480715124 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0847014723793021 0.0293315978066333 0.0218880651994301 0.00287515298083898 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.34773555835171 2.94905483132694 50.2116061707994 16.4087872054975 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.49096793629763 1.01775587637582 8.23272307708115 2.39291819756473 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.911444543195656 0.484639443187639 2.67616437793101 0.613485097647894 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.626460690490787 0.278353963968622 1.16808916956359 0.215614293804585 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.25795557491429 1.77492357779628 22.1819313790554 6.61841008085357 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.810718383074659 0.394755474792814 2.19416703206414 0.452575350985494 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.417311125566106 0.158421764882037 0.527454587934918 0.0773361512111535 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.254107916014991 0.0931425625545985 0.191601343314801 0.0285229234014916 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.89603848510511 1.39456227517427 14.6856383975535 3.94847131808298 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.652332829484335 0.298838278177871 1.41753835869604 0.241682841457341 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.36044852934943 0.147196984009034 0.423561299864073 0.0668939285993957 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.249103462331451 0.0963482612679037 0.20490661107521 0.0289771388352218 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.51712790021311 5.14389169269798 142.689540421065 48.7548632141424 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.33398697457169 1.85335097949822 22.1709087335915 7.36186252574335 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.40395880738192 0.91256370018326 7.00344285858878 1.99670454440328 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.969395515210359 0.52909850141336 3.01617675139956 0.727489787406811 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.69720383301511 3.20984902327438 65.4096962589458 21.2557767292769 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.284899657104 0.778280383166859 6.36071623039803 1.73183487691549 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.675693912771553 0.312333739174478 1.52674884431639 0.319125653832095 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.420851717269934 0.175181313034263 0.565032301069091 0.10629471558017 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.10186042002346 2.58181548701743 43.8715010534874 12.8876521706689 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.031843506217 0.584165613589658 4.05580806448704 0.835875160775111 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.584830751455361 0.28086039087524 1.25675524939811 0.232328012725036 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.413117142057734 0.180368043775551 0.630862095238755 0.0996448267606612 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0229407720439665 0.0150689264034613 0.00125409410407455 0.00123278264070281 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00834310609638571 0.00562666285012293 0.000131164646980451 0.000147457021386658 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00629722961110649 0.00423777685813361 5.21441367480693E-05 7.43811564925909E-05 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00686088019550548 0.00439369406851338 4.72255066901442E-05 7.60200109770249E-05 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.025618804886507 0.0154461101347959 0.00188281424129834 0.00119269356105741 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0129761777364089 0.00910109936847136 0.000401352060295937 0.000349706375358763 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.012083553097845 0.00927152803540576 0.000271523799542636 0.000360544323200355 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0143761042022017 0.0115106273850906 0.000331143098268133 0.000560753519061215 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0171855692359993 0.00928200005612063 0.00102690272080904 0.000299351467745595 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00912404155605791 0.00402974684741326 0.000238139553407132 5.56750334529801E-05 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00837178322146401 0.0043380636118287 0.000128364097051231 6.42593012331854E-05 NURBSSource NURBSSource 24 246 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0102693435511891 0.00622908315787218 0.000113341931693742 0.000133684384922961 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.109588160043816 0.0819571846288632 0.0289517149658897 0.0205652759174204 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0442590578711034 0.0327266244360259 0.00464842711400132 0.00325306865167428 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0249636154462767 0.0183352153687767 0.00139667877948349 0.00103750454086026 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0169088411490555 0.012244241817251 0.000567108402868698 0.000484867700870599 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0740509623490395 0.05240530852071 0.0134643863374706 0.00862933717333911 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0244061242235467 0.0174865774554212 0.00141409287517488 0.00105762040381477 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0152936684823245 0.0116578565423855 0.000491067401462021 0.000539948239404903 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0152424161509535 0.0121651000124631 0.000405278345757201 0.000629826224946964 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0554532042972696 0.0448562741918177 0.00859198851667102 0.00555300145961535 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0182561670204579 0.0122634909121762 0.000872466665922067 0.00042510994144024 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0120336561884146 0.00703444340618539 0.000300060902017718 0.000156612058380733 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0118676268655954 0.00696672782281612 0.000186739854100099 0.000169723277193074 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.212861188256638 0.161020040406702 0.119607120560128 0.073924925408484 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0870450059272078 0.0645489280828544 0.019168266261826 0.0120613184819066 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0486771932938767 0.0358798831422847 0.00577606358968611 0.00376695328152253 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.031884450673412 0.0233527638645693 0.00231925908015536 0.00163973860804356 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.139005182022444 0.100286987926508 0.0506147156230814 0.0293409459387469 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0429948499084037 0.0308969014587577 0.0046413923830449 0.00304265529454398 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0228545170514183 0.0169510247400718 0.00119850597380088 0.00104857430684754 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.01808623946143 0.0141228817406059 0.000641791952317778 0.000829563020717823 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106070163657352 0.0881502124045328 0.0312997732580782 0.0212698398140757 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0325715549677972 0.0235301556014132 0.00280591658448493 0.00153542298979538 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.019148365269878 0.0120960903217538 0.000850512824476054 0.000432651062118438 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0157397174823328 0.00924047717825223 0.000424174494939948 0.000288193518418542 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.420605811616139 0.322127310186138 0.504163163500604 0.276471453048195 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.173234464940301 0.128757586184446 0.0793241314875485 0.0462012229601073 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0967502917561089 0.071358728830656 0.02392322360479 0.014384704532866 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0628273943909454 0.0461243997480894 0.00970111884636261 0.00611066727123203 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.272561665177801 0.198458798085896 0.207189247351435 0.108296911930723 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0827874456240009 0.0596212853571053 0.0181069182112919 0.0106885208313037 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0409197699934577 0.0299155948311371 0.0041957100109703 0.00297450553440067 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0270381131393683 0.0204319051220963 0.00165939868189976 0.00160153235482735 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.209065412926323 0.17571006451684 0.124476494058837 0.0824827123333078 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0630252619224862 0.0466478340494829 0.0106832930403676 0.00595327175209016 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0354671681853614 0.0230932779235577 0.00318168756322801 0.00151401422522731 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0261398437236076 0.0154723061233638 0.00147528348267369 0.000756622292821926 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.20923725051467 1.00691342695778 4.94314750445417 2.34053332301867 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.514580554725727 0.38982894808062 0.756590337254999 0.393161316683383 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.288820466454205 0.214333298342796 0.225677006777627 0.123112670075077 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.187413453561501 0.137987751008881 0.092019780539555 0.0520193790885457 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.792614184069275 0.611312084599695 1.98757657646845 0.916186884704709 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245275736564226 0.177315697042287 0.169047036282177 0.0881386085866374 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118352427447436 0.0859478493716593 0.0382331194895825 0.02213621205986 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.071599591984078 0.052612284646465 0.0136103066765914 0.0090902671079477 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.618698781009688 0.531395253998936 1.2106247739914 0.687430966418408 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.18696367783835 0.14009679939162 0.0973464369655006 0.0518311087119894 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.103800236801344 0.0684558445141486 0.0294436769205483 0.012723059662081 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0731498251517293 0.0435976577792512 0.0140276899838339 0.00553264017361008 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.97145886426506 1.73155095514114 14.3990898645278 6.43632257444882 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.844557335049709 0.66090532384502 2.15681044638102 1.07482678203836 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.478547458054226 0.359054310212812 0.641120125262939 0.333993885860688 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.311380578321677 0.230360120667822 0.260854991100038 0.141066205291212 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.2867001478393 1.0523609028189 5.71626006154746 2.54257621721858 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.406790927408631 0.297563664090532 0.481667203833873 0.239142399799864 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.197016559886688 0.14296529788425 0.109143629137281 0.0590012380407222 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.118358175749638 0.0864558153933769 0.0388153781253006 0.0232179616814852 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.0161365799425 0.900139689888068 3.56285857147045 1.84139801271096 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.310590906910185 0.234381418834816 0.276060382152494 0.140326470774067 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.1725788243068 0.114221756958223 0.0836409981075288 0.0345237484630867 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.121439854880549 0.0724707210016022 0.0405610114471013 0.0147983163575061 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.339419247316207 0.259100460397404 0.333595144830547 0.186189544469103 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138252737088142 0.103114945813676 0.0523185843616641 0.0303834820358159 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.076981213632421 0.0568980834466535 0.0156420207276876 0.00941161942377689 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0500788164692448 0.036755644902204 0.00629861629389476 0.00400975258831728 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.22205752869515 0.162353374476608 0.13687072052148 0.0748126538439595 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0677930289171725 0.0485762878604489 0.012263297108771 0.00742897252273091 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.033812253576611 0.024599561731088 0.00280690557891317 0.0021188369174217 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0234380996345024 0.0174416953148068 0.00117422845501137 0.00122923506859455 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.168977040190044 0.139868890522236 0.0814005876088028 0.0530212661841416 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0512193776193998 0.0371832894469254 0.00716353331528975 0.00385005746628578 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.02896312555065 0.0184814222597648 0.00214345363487321 0.00099132770595709 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0220360388594885 0.0128093837975179 0.00101801238392941 0.000516169241349558 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.663284242110699 0.52786451084746 1.39784112057325 0.71477247735548 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.274885675664597 0.206611231242206 0.21633239883804 0.117221357686461 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.153290995605188 0.113612563232545 0.0645120893584167 0.0363716244315594 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0993693579113826 0.0731727670334617 0.0261613568082314 0.0153547871617128 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.435262151616799 0.326467637800766 0.565160913049826 0.285646076507621 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.133099778109856 0.0958408782975816 0.0494744795330981 0.0276909857503907 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0639765360078435 0.0466363801131838 0.0108738263275541 0.00709363607673589 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0401094742280627 0.0295759288774622 0.00394262008938509 0.00319088911468215 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.336081072280054 0.280015792477612 0.335804773268495 0.204445590111084 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.101052037879547 0.0740541348740205 0.0284796156433106 0.0150491483685532 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0557850889125646 0.0363103104662623 0.00853388230158631 0.00372371765625732 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0401631009723191 0.0234384397351545 0.00401624685633982 0.00163552068040392 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.27624619243465 1.09477701162887 5.87418539013051 2.80771691096832 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.543118259455168 0.418232541933414 0.895020499512601 0.456843131524409 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.30497703468781 0.227947970499946 0.265449109089754 0.141252097380791 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.197904778219191 0.146355408847828 0.107799014274074 0.0595250137370117 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.846281001137363 0.671392130512879 2.34995814095407 1.13072593416124 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.263950292019762 0.191996958523433 0.203313846145412 0.106542280329458 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.126005941281196 0.0920657203863951 0.0444105972658071 0.0261613713425792 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0763919497761064 0.0562889705301304 0.0156522292357905 0.010559948847593 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.665174829108777 0.564641969557882 1.43140604532412 0.778858342670143 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.201013304122743 0.148089832526114 0.115981560636113 0.0585227489507444 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.110301788996463 0.0724471121854818 0.0349103814488618 0.0144006315622288 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0781616699191734 0.0456547540827813 0.0167294618455014 0.00595514616111702 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.70545634475684 3.51571862268677 58.5953908038077 25.0206896641706 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.54433445970036 1.32104901491069 8.42846774449306 4.09051715883727 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.887244802426098 0.702714016213159 2.47512090887515 1.23706946593805 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.582649870954537 0.444309921509947 1.00253805220274 0.512478697073898 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.39342689987267 2.18485216780877 22.9930187910634 10.4979933931339 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.772623451849173 0.602490177304202 1.95553730424278 0.971199922796334 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.376698242135782 0.280399631004288 0.432890648310943 0.224040966370082 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.227233709205308 0.168591461234291 0.153908737485038 0.084616014634843 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.94672302011284 1.77768421463311 15.015309189945 6.66114844008102 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.594146983515186 0.450993471633236 1.11335424088764 0.488449901318285 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.328397520765596 0.219291961262793 0.331939803867865 0.120719022177063 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.231598436692424 0.137112568164295 0.162195817048795 0.0494143002870821 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.19116088974661 6.02192472266175 169.222748525736 69.3215870401841 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.49631980945111 2.26215457883053 23.7041172577305 11.2338645288723 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.43068382532651 1.19846228183038 6.86262273365933 3.40547257795064 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.946763546541809 0.751931789306507 2.76944449898502 1.40174198482064 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.97893418854177 3.81961693437512 69.0696125944297 30.8724093312727 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.27265793233356 1.05864362995588 5.93631794066747 2.93679545007903 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.629906225171797 0.487882275074974 1.31312996443496 0.66046878443955 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.383875738665318 0.289726404400336 0.471916557804536 0.242159073205079 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.28470644041711 3.09765357111915 46.3511288565133 18.886499177561 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.97721801646045 0.773870297198853 3.28443030884626 1.32766576616998 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.543706648569572 0.37256808436955 0.962978253930427 0.322515017769574 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.3840137156611 0.233575888037668 0.472345743476579 0.132608040919499 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0107332344459638 0.0448570947693546 0.00028900128329228 0.0115856755242164 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00388971296868555 0.0153009217011641 3.03608687490163E-05 0.00124829825606504 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00272238611461711 0.00981033306410969 1.0363096920385E-05 0.000490834657278616 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00273530187020737 0.00893582126166203 7.49128673397964E-06 0.00043304663376665 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00532621594742266 0.0454520036048032 9.6581760140474E-05 0.0104291885754651 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00426842383393736 0.0251832392884779 5.59251905517286E-05 0.00339878530300792 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00473778448082762 0.029370127804951 7.29378783726937E-05 0.00501598957540731 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00600480968090522 0.0431679122547331 0.000121394887820096 0.010758741819385 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00312453889975329 0.02105384927108 3.01682731275652E-05 0.00126354704017281 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00204464125443559 0.00825239330437754 4.39453273661632E-06 0.000174187901677676 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.003670205138939 0.00875563116579787 9.17781267833689E-06 0.000198301380688403 NURBSSource NURBSSource 24 247 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00605870965594897 0.0122993840949454 2.67228238033688E-05 0.000414049670661657 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0409356799991996 0.178064636093532 0.00473080921453875 0.105325974618524 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0154334428424911 0.072324878067623 0.000611333243178724 0.0169112145209627 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00848584198986995 0.040723196584426 0.000171193851751837 0.0053664755876601 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00578894275691434 0.0274384932540958 6.71531363381578E-05 0.00253377030393372 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0220031525123535 0.122350062323197 0.00149639700346836 0.0503564421645226 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00759910278645299 0.0432228549519085 0.000178095067786481 0.00744228889691233 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00554645099414359 0.0348722660521901 0.000101034676103825 0.00618427168980491 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00623027173932527 0.0449728788724052 0.000131570521585577 0.0112557674839028 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0170554869241806 0.101586014039582 0.000866948858551067 0.027371548372915 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00542770184966103 0.028103651544053 6.4140468719215E-05 0.00200199052948708 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00453159451407813 0.0160275703730855 2.38975904041997E-05 0.000616291711389269 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00625896089431802 0.0152313580357976 3.37408166879295E-05 0.000587548728290814 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0856032296095546 0.333428430219399 0.0280512994046005 0.336528325021268 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0303842603127179 0.140784877379386 0.00266238564047925 0.0604757372546447 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0164046731388595 0.079135645727575 0.000713393070876926 0.019095285082113 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.010658620480946 0.0518266134128265 0.000273204597885131 0.00835087020604989 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0445420846755939 0.226321476995704 0.00700358146507199 0.159318436321874 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0135098943535007 0.0722152099602802 0.000565512095210435 0.0184909144450319 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00771567038212253 0.0456913422992546 0.000194058080894579 0.00928673908173232 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00701769083529372 0.0493441529089663 0.000168036128915406 0.0127149600479405 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0343091859091334 0.197893028324539 0.00380248455898368 0.10536155533019 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0102682752264388 0.0538056009977193 0.000262362516802686 0.00766559251482548 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00651549579578769 0.0274440526284464 7.22738584094777E-05 0.00189478013881613 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00694140758501481 0.021231425005113 5.33296775789633E-05 0.00111065871937125 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.204886261695492 0.622533383285688 0.213694095776813 1.06436149054188 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0638091918477505 0.276601056600556 0.0144024103228846 0.221202603109711 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0329941387190168 0.156732788953202 0.00319741718965854 0.0720201943976403 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0209791570052695 0.102061703012487 0.00118197498988854 0.0308864575150225 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.10064091492225 0.430384826693192 0.0479004982450104 0.535224869731908 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0265046807029131 0.13543459967426 0.00231311979368589 0.0601524662371805 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0133901215165427 0.072794731080467 0.000582466713188073 0.0205967943437806 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00972797059163991 0.0620331183786016 0.000322009142029458 0.0180227739333678 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0766045959478255 0.385180950879414 0.024399188820469 0.389892458950968 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0203282332473725 0.106376806740914 0.00110948346403034 0.0305660722197082 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0114407422319253 0.0520563780367314 0.000289886112740541 0.00711331336859433 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0092530808318405 0.0355813757283381 0.000136513041997993 0.0032324312161433 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.911233587127326 1.56562628851994 4.71336367814881 5.93924931500161 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.25665293234413 0.763019136289736 0.348469798054011 1.50515631288315 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115097358772666 0.453233686528791 0.0571361968870455 0.557645117756415 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0669812193909762 0.300619595276385 0.0156275627859032 0.252951884857149 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.459455718542737 1.12311418430353 1.26145917399444 3.22310080745846 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0904167099256186 0.387362635137415 0.0402335552615684 0.444569330787929 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0400399653462957 0.195389529020002 0.00638833265157591 0.127612034308986 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0247383535040235 0.132225323124012 0.002250173232751 0.0679258708850838 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.370070615309816 1.01200941594801 0.786547871758727 2.39386662123953 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0646969830667255 0.314741375807067 0.0136731084025244 0.264691382410611 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0331283453275817 0.153349447598374 0.00300824639044699 0.0630996456623724 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0220914718577907 0.0991293477807264 0.00118719945187996 0.0264016149816539 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.73780356927339 2.41673712082455 16.980757211783 13.8227139385177 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.520899926159158 1.1762745143271 1.51451178817934 3.37872827978407 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.225312905352267 0.720622658361889 0.259800798131232 1.33790195239169 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.124591771761892 0.487083399999058 0.0672667205774976 0.637142801045027 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.934234345660494 1.70617258989035 5.19572311838978 7.15834607955576 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.176467962927279 0.621081381024895 0.183008213919434 1.08749477065666 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0719184035022909 0.318235208586201 0.0265748412163535 0.319936384721625 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.042726582688699 0.209203776218804 0.00837739643041087 0.157357663797493 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.779391753540444 1.53177390393002 3.49405232570905 5.18692917351259 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.121895408570956 0.510942075195888 0.0609465001689557 0.674073126213232 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0564458404719368 0.254287690738842 0.0095739374386838 0.172074530418614 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0363286789854517 0.164104277199417 0.00358781463855479 0.0725063305868064 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.153537901772878 0.510615269921531 0.120590461744767 0.75061790818964 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.04971031163382 0.22265771406525 0.00905659007143567 0.149686875398329 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0261908596708352 0.125615160706717 0.002078934367487 0.0483341361970248 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0167794053416596 0.0819723403427762 0.000772960811338523 0.0208682759769615 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.08189677768169 0.347316830474221 0.0342842574772146 0.364309191985992 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0220714817721444 0.110924054731181 0.00161654155842864 0.0425326621419518 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0115169810423754 0.0624397904882431 0.000434712486382749 0.015904313864907 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0088769607701764 0.0571111510776108 0.000267690240072368 0.0158359479693321 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0582193373564701 0.308689021624729 0.0123663940486647 0.258311378094755 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0167702531587146 0.0871735970933622 0.000747720410399665 0.0211702984916435 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00954333051914596 0.0434160568088814 0.000185859640341209 0.00510821118523355 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00833601932136034 0.0304565081784518 9.53876362845608E-05 0.00239218730185252 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.389070108811855 0.931520305982867 0.888658955929395 2.28970902607637 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.112007632484701 0.43109610002054 0.0610795341740049 0.528474541380073 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0545437460581553 0.248028491889269 0.0111846463352015 0.18136999066418 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0337800565478495 0.162117237204221 0.00362080935926161 0.0788714879178802 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.201263403661583 0.647673365020273 0.254662332107588 1.17275627494755 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.045924960274851 0.212735463533319 0.00889824735432007 0.146685151382965 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0217961559532155 0.110008969801471 0.00164290611196915 0.0446704222944953 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0145059366396017 0.0820662692599031 0.00072549529302486 0.0290185604135141 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.144597285561877 0.58699572951413 0.105496522719389 0.885599763685031 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.033722574456514 0.173298575269088 0.00327604825206434 0.0840494626528788 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0180271112578814 0.0847697851005229 0.000794444424677056 0.0199993737391969 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0130549562508922 0.0556297927534845 0.000332103986275899 0.00832933857479341 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.98540028670628 1.66449846271805 5.75612913926037 6.90473970328939 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.281616424863931 0.803349434549375 0.462173225608407 1.70693896566747 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.124697388644319 0.47971238827641 0.077387277008533 0.642887421566159 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.072137096133468 0.318742197905423 0.0212733012109025 0.293229587179434 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.53145600469091 1.16206815722229 1.84191132680236 3.52253521880452 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105728369502622 0.409069546705102 0.0693282688540332 0.505258333396921 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0456233318970475 0.209277909891905 0.00982878413776166 0.148211994961775 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0279250681885451 0.140236244610589 0.00305137632397944 0.0765384128928882 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.401231360792856 1.05952029822581 0.930244372162889 2.67836980820584 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0730632714045094 0.34042639751356 0.0195081779429305 0.315898045798757 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358373085718219 0.167978873263557 0.00352625949125403 0.0788888776613728 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0240938565878594 0.107972432025392 0.0014081526430543 0.0320286627903189 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.72095016102838 4.42859641232875 80.1687464972457 48.5147766595075 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.24253509031975 2.01058852350979 9.11162092733595 9.75447810511463 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.560269761902656 1.24381412197309 1.85805855256855 3.83825083790886 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.301534795347675 0.862984508243815 0.520464304861472 1.92946015326476 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.25028250152892 2.95215332417007 34.0219141613774 24.4780968974675 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.494760412505097 1.08968349849092 2.18108610307027 3.37842209800938 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.193564451512943 0.584250109482282 0.406315648211596 1.02197114147866 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.109654505718188 0.383838493297066 0.136643180023956 0.48405033177462 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.83058612126229 2.63658596285588 19.3386467655075 15.586048591074 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.324413694312745 0.925616812749382 0.580037885906469 2.12399957789004 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.124774944971003 0.490824618377228 0.062098756357538 0.655458217274134 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0748988830229546 0.322227365053039 0.0182722782476444 0.29635563714864 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.61359053320761 7.62436731759977 280.423516114182 687.475670328034 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.34605053257379 3.38382798869067 34.1709521106001 351.031296638286 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.12638273157662 2.11570731117307 8.53055980643333 243.267114450285 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.633869050519945 1.43896084464566 3.21742210033836 74.6858232132752 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.3210583098536 5.54299812150524 175.16226820308 2208.08178842881 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.10939245533079 1.97659320588438 19.9638959934776 331.766606995345 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.508776151973112 0.92183148653762 14.1893895554761 2.36410874887845 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.435460094078215 0.611168319650303 107.55857086592 1.10855356757612 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.51001432415229 12.082000516838 77.3671895274848 249854.614255746 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.690526541350717 3.6406886699986 2.81833087468288 19493.6782793275 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.287975451382199 0.822113719204015 5.29952975888881 3.35875306808502 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.145502154176668 1.02796858731913 0.1849339230455 885.991965692056 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0183693166060233 0.113068105216968 0.000975308956839905 0.109539260137984 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00578454134582396 0.0341068602981027 9.60954930429535E-05 0.00970038292183571 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00308446500000958 0.0185042579072326 2.67416823736937E-05 0.00265276606509411 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00221191453649336 0.0142021125765902 1.30911857508263E-05 0.00136764801222976 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00516362848196238 0.0804311199983722 0.00011540025641738 0.0408749317142846 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00334253146914532 0.034054756240103 3.82209313974572E-05 0.0080026867172982 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00370747917031949 0.0357135195350469 3.53818486516152E-05 0.00809435210967055 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00467167270812618 0.0511681886806456 4.40703804624988E-05 0.0147003981352079 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00471873670354775 0.0407802794708355 7.51072156957369E-05 0.00672797428755082 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00235654397073889 0.0142299867980158 1.83860460861904E-05 0.000796365656224975 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00243854437984914 0.0119928140435018 1.87689913274554E-05 0.000478296993146995 NURBSSource NURBSSource 24 248 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00338880166332484 0.0150812184902327 3.44397297301976E-05 0.000680169268101028 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0493596728248029 0.264009151717892 0.00674672909736273 0.285687232753353 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0182096618225935 0.101495151104968 0.000897094442224881 0.0385564805782849 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00984909880853367 0.0564025651976845 0.000262242644959142 0.0116869564507383 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00635431211760468 0.0373235668355577 0.000109163661042774 0.00521318758596926 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0237310493010395 0.177273086225854 0.0018072187420646 0.117150479133371 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00770840983572726 0.0589249256941423 0.000184250151196606 0.0153750182040596 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00500158659284653 0.0435046985953475 7.0254590173106E-05 0.0103331351897115 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00508029548504893 0.0532246900323347 5.98809941762301E-05 0.015660189458741 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0184594656826042 0.146024468143761 0.00112149551069791 0.0601185716912136 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0061895609650662 0.0404779747791283 0.000123991231279663 0.00460607927012954 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00416150396443745 0.0226110024366972 5.58306747058589E-05 0.00144207470803227 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00408410838545456 0.0196139294326462 5.22346083097454E-05 0.00108540924649553 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0953310936607553 0.457008103228129 0.0313227720948896 0.712153293793619 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0344272261562054 0.186914925460523 0.00358596410840897 0.115443329501364 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.018574423676388 0.104756243532158 0.00101774793649358 0.0360943449488093 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.011850207352064 0.0686384420390156 0.000410422828114596 0.0156368653598185 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0473388850689442 0.312258468202435 0.00766107912268014 0.321013508600888 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0141347566322706 0.0968958661623817 0.000631989434973766 0.03471065225018 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00773535165447874 0.0592133901538797 0.000175857081667238 0.0161464475022615 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00633663321186369 0.0588807217996476 0.000104626361026591 0.018279133254028 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0361963582862559 0.278889883645558 0.00460145864398561 0.219269417672658 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0116114325950854 0.0757278623067699 0.000439544535917737 0.0160632111343069 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00705363708174329 0.0394635245086438 0.000163679972811813 0.0043282118232773 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00565242820022417 0.0286808966464884 0.000103491239031341 0.00228808057081969 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.225244058266475 0.827267883934291 0.243021140169195 2.03802929888638 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0694993943957469 0.361598195358338 0.0165899682067489 0.403662218080244 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0367112841662395 0.204472386856732 0.00429860783177288 0.129770547071844 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0232507486225147 0.133464249180263 0.00167628694204003 0.0555922910649011 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.103909954930017 0.586488229587735 0.0468486085423092 1.04913263048554 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0277622193091593 0.179252699754795 0.00253662026832125 0.106940024838586 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0140288487748976 0.0968836007533098 0.000616883983035493 0.036847783417078 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00986322323208097 0.077253993494052 0.000290135320284715 0.0280559903833524 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0782151952039538 0.544741367934033 0.0261598711479 0.824445943505487 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0228095215555717 0.147999653179889 0.00172941439287345 0.0619875151745548 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.013366383967272 0.0753990546158867 0.000598011557366687 0.0159510925785994 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00955281722296303 0.050569649969473 0.000307426250941611 0.00715350129886061 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.09096986528221 2.01710984207286 6.79021669830656 10.1858957063032 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.280301229210821 1.00080793474445 0.408677141201816 2.74542287454597 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.121362726306717 0.596290327527978 0.0596302157385142 1.03168940330414 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0718257444512507 0.393889919406528 0.0181826852696353 0.459539248872587 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.544324563786746 1.49368609198871 1.81320543450545 5.71288478326089 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0904537809632768 0.515692274048057 0.0341605827929159 0.81026164203348 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0416924873545555 0.264594521640344 0.00624193652143856 0.237318051394082 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0269435976313954 0.177209362067145 0.00262189846789997 0.120376739287764 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.437507961586142 1.42671586177766 1.22485794206931 4.97259388147664 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0702654662797456 0.438982146466546 0.0178895185013477 0.543460035625332 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0395910858930264 0.222749754832205 0.00545387194623464 0.14011216497168 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0268967935905139 0.144977429548063 0.00254567701608261 0.05950267842239 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.12180288194601 3.08907817325411 25.5652594862641 23.1918927422063 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.597732835648041 1.53211124657956 2.03095517561561 6.01408416966399 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.242071411410224 0.95065464235363 0.293264025685027 2.48774414162871 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130435702241244 0.64346787480556 0.0696046417189393 1.18669743340314 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.1670719947125 2.22609719800578 8.36931606913258 11.8888457427763 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.179690942757539 0.830291700682686 0.172575354784632 1.99573158128087 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0739579237900464 0.434092463914128 0.0236556923215547 0.612325828610756 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0458731772120279 0.286006539719905 0.00859392910281497 0.293788366981651 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.979459255845284 2.13783103416439 6.12935468141743 10.4392184866305 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.130955821758961 0.717974763921677 0.075398456601204 1.40792906588452 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0663355965174205 0.37050516554448 0.0158100569554307 0.384528271276051 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0445757104546799 0.24088592103974 0.00707050345935671 0.163964483946492 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.166924042583643 0.692259208767555 0.122659275120917 1.48626245207825 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0540585080928121 0.294608539643934 0.00953022405454946 0.276165784132914 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0290241699425352 0.16592773689287 0.00262577400162976 0.0873547355563519 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0185044457570204 0.107984972408792 0.00105302205311551 0.0372563621214025 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0802988609628163 0.478432105081921 0.0270120779456562 0.722346909861747 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0227529215233422 0.146476418392823 0.00181411796837732 0.0735867739591947 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0115532899111638 0.0801200966336283 0.000453093445359302 0.0263506602437899 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00829734053835485 0.0684022693722168 0.00021515712786945 0.0228032207982649 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.060268113317894 0.438300852503484 0.0141726566986498 0.551985268137111 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0192414305095907 0.122404984728737 0.0012197274456672 0.043120359258079 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0110342275187551 0.0625425971059746 0.000399155630431251 0.011250382113222 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00805737967441467 0.0428210362915683 0.000205365727080119 0.00530077787680777 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.452258494213901 1.22975965267348 1.16499907880859 4.07739894347597 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.118820803289996 0.570719708330176 0.0571774195284443 0.967354081902903 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0587045040872368 0.32804923690551 0.0116495051869056 0.327348807939242 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0368885887277977 0.213888903089728 0.00438304955712625 0.139914141746167 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.205415149360137 0.891273675818012 0.233066358594641 2.2839475960632 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0459786203539129 0.282464408839037 0.00816173960202655 0.255708205997431 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0224121421437724 0.143570017869278 0.00185624550863668 0.0751806299314615 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0147515921609767 0.103303549765634 0.000769503813277099 0.0455346762787923 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152118078972791 0.838052460376257 0.12856630495028 1.92483065984286 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0383523100899804 0.24265025462366 0.00499932173414023 0.169623368600786 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0215727999571028 0.122935149065841 0.00155337633224447 0.0438252869595023 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0149197195726704 0.0813498294752326 0.000729665243360495 0.0193969707400662 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22140065780937 2.136928702397 8.80133096358496 11.1772067464662 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.316249178435902 1.0594434029686 0.551567448430373 3.00475723597582 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.132559958642307 0.639102451463598 0.0751032854450548 1.17593014839248 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0766028634610936 0.423985603963785 0.020941251263116 0.533247110324357 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.613608697266723 1.57075217030779 2.35025640371589 6.26178024073043 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102232732374897 0.55232262358617 0.0499457500837464 0.921678355782654 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0459256030943946 0.278264518780942 0.00906262442531006 0.260424682357261 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0291340829583302 0.185737112408807 0.00351056942062803 0.130519897942793 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.484609226816657 1.49173310665918 1.54307764713856 5.50062947027697 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0798179551199016 0.481280193549127 0.0252679010741115 0.657914217989548 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0430296422689445 0.244839203981926 0.00635157875714888 0.173729175345413 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293256380273704 0.16076989720633 0.00288908772034485 0.0761293445405928 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.69082306441031 5.58146049482835 127.278836940571 73.1346171804449 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.53299130373722 2.57969576398951 13.9052520484859 15.4897590377519 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.663248698692337 1.63167123982818 2.57959589821417 6.53479623704214 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.336123132788283 1.15142823315872 0.623113399493255 3.46766040856223 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.82358871386143 3.83337842717851 48.8838299180523 34.4399043313589 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.538410197674348 1.46171563138599 1.95719214224407 5.54712733864859 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.190762807529416 0.795787239753642 0.254843984933858 1.89041037852945 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107977459566393 0.528588967031043 0.0787414308620538 0.92411254767073 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.4074296824072 3.62958985722728 36.5918313116989 29.8752616999566 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.380823101842745 1.30240059653032 0.86987646238939 4.27265401354028 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.144239191288573 0.720827875329793 0.0926053932063432 1.43070966386442 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0891790586368533 0.483350703934119 0.0297213961734338 0.677164447781302 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.23685904071733 9.06565545046313 390.669694226219 192.725799911669 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.88113749339972 3.92285233766236 48.1972708164603 35.1919089219882 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.35056554360966 2.41733964697341 10.589013192612 13.5610941050906 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.72180946288326 1.71319435178315 3.00245464557993 7.10567483048774 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.2803029531275 6.09077997370638 174.608948009114 91.6665255067376 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.21410959974268 2.23996027144372 10.3543310020353 12.83427052715 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.449903147049224 1.26614681741472 1.67808278005182 4.58074078119311 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.247380333839628 0.854457514597231 0.558202166314702 2.27645373962253 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.61608307889632 5.83477737462187 133.805486183216 79.5649162846899 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.871839529642633 1.98999418609811 4.67589392065697 9.52953883251904 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.30861198773406 1.15910114738298 0.518546419122203 3.54810008416434 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.167958813458305 0.807091433002963 0.128282021366942 1.87435137056279 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0101456165213329 0.00922709867816868 0.000282174238957545 0.000444961418838081 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00426872704968323 0.0052973286870032 3.4949637605929E-05 9.50192932782624E-05 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00350050684306978 0.00504866335589722 1.68909763332298E-05 6.23975086784606E-05 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00382419612466788 0.00595795252099431 1.57603390432964E-05 8.35743933688099E-05 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0145641029765872 0.0149159486797352 0.000719738330175586 0.000981032242510767 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00851058887031633 0.0134103828513319 0.000164594381017538 0.000641951648852384 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00842307697139106 0.0139517110181581 0.000111188058727013 0.000726201561403971 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0101054499169306 0.0168431825000365 0.00012276493310975 0.00129777787852001 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00984081449107402 0.00602416811900257 0.00034920448259823 0.00014071174446063 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00537204781817468 0.00409303878343115 9.31309849588025E-05 2.23174342591531E-05 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00443011472711871 0.00764913830644304 4.65678991427886E-05 5.93567555157856E-05 NURBSSource NURBSSource 24 249 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00529131556463833 0.013158408591214 5.39977388967605E-05 0.000223360512378974 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0773136247721118 0.0644797599858607 0.0151444526482871 0.0117864811302293 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0313070721831969 0.0261424455082435 0.00240092734702005 0.00184494231862133 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.01755536140671 0.0150800792389333 0.000715996544464579 0.000558062295886086 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.011763832855466 0.0111242839635419 0.000288712949729563 0.000278770963319536 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0517191947294231 0.0442231565890079 0.00692695179772784 0.00581119892867663 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0172445609157241 0.0178225061442273 0.000725466536275041 0.00105347858348515 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0109712265479393 0.014850576001548 0.000226962465360897 0.000813306677830078 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0108915697090754 0.017068884722531 0.000158995280149855 0.00132764974820725 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0370950172919297 0.03550602415039 0.00382517347994547 0.00331110843485536 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0128861696813878 0.0100721386739799 0.000449667942445298 0.000204849847540885 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00820193083618441 0.00901525921412479 0.000159115859586924 9.80625797439325E-05 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0073035177224078 0.0136451758825343 0.000102112328169131 0.000239844801052565 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1524538407735 0.128024609974409 0.0626941751031998 0.043565077715336 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0620102034881088 0.0515082784802598 0.00983390710315551 0.00702520032886847 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0345300165653768 0.0288867384253241 0.00294217610211662 0.00210286754752581 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0225863533738618 0.0194845923296921 0.00118644673037255 0.000900708615777179 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0988564837373963 0.083766490484995 0.0263778301901081 0.0196779985694029 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0310286218597014 0.027391302010954 0.00249171997551401 0.00231543287600524 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0164580799856208 0.0177508676925052 0.000598529486239773 0.00111390513714867 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0130643369144036 0.0180327993567365 0.000276940980010402 0.00144893274324369 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.071671823275667 0.069693353533618 0.0143943301594554 0.0126201152759529 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0236855075414815 0.0188586551280527 0.00151944371268669 0.000811080246455923 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0140927023330795 0.0119512568135794 0.000506385634012273 0.000222474959297382 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0109121173152155 0.0146688848316729 0.00025317616035533 0.000293992945309369 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.301364451979891 0.258088312793798 0.259783795324013 0.165347833966797 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.123557874570078 0.102773472399542 0.0402790422599661 0.0273629286980091 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0687360762668615 0.0571083063339793 0.0120691680558544 0.00832409179949108 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0446542626381472 0.0374628179069877 0.00491405734801321 0.00346893201530515 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.194655426827691 0.165308894708527 0.107008238627376 0.0730193637614731 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0601094156392418 0.0499276314251199 0.00977860777422726 0.00728442374538941 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0295873700390179 0.0267658479721121 0.00217878909302232 0.00233374516161412 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0195838203144784 0.0217764923553673 0.0007892276075147 0.00196006288601293 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.142323078980766 0.13861785690543 0.0580296137833807 0.0486582209723147 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0461885083145353 0.0370136562472012 0.00585126630680393 0.00331568438855791 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0268001037768156 0.0198589093871756 0.00193964505238192 0.000772108674950148 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0191598119026539 0.0179546934216709 0.000892484156960796 0.000522449496903601 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.876929853669781 0.807795548944414 2.4601212265438 1.39432102121526 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.366288435044344 0.311361049228831 0.374308197611249 0.237182865462904 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.205031467798726 0.171321450101144 0.111989700473332 0.0738006694663255 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.133145281909298 0.111128163203284 0.045919110056538 0.0311251409590322 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.569866455371756 0.507413528787938 1.00396742685255 0.608763893477329 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.178044337056532 0.146137392806912 0.0902982025164837 0.0587157681701614 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0855560690000314 0.071032370088844 0.0200871158612452 0.014879168957425 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0516362906165406 0.045828389703554 0.00689367769996915 0.00721478625209357 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.423366661427638 0.420395232847214 0.550389949480853 0.40743962989696 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.137262338366 0.110193694184796 0.0533372347170583 0.0296496423675505 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0790296238484899 0.0555878159938909 0.0178094978273649 0.00707292463319096 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0541106758937963 0.0385768573883639 0.00812779909570372 0.00321638664669984 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44335592722949 1.37663251801021 7.08804651379591 3.71639761277139 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.602399382075281 0.526903055018669 1.04928236054759 0.649642147913724 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.339579813484947 0.286981035766262 0.314358399453291 0.202731761643459 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.221080775425019 0.185397350579265 0.129095732543044 0.0859641010476796 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.931942004084036 0.868141411434909 2.84773885551666 1.64979732068354 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.294547494438579 0.245234381057187 0.253134548501879 0.159994339185879 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.142005838249675 0.117510349540111 0.0570198775530774 0.0393623932075793 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0850384968214339 0.0734368081266918 0.0197778746734429 0.0173416018945979 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.700288441020336 0.709588585900668 1.5884340919479 1.0753960163947 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.227230979761649 0.184671855636389 0.149904887177803 0.0807522849535106 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.130975340623545 0.0923651770026453 0.05013258255658 0.0196079497617079 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0893013679840334 0.0621080590096102 0.0230035227209077 0.00876368560420312 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.241962679904655 0.198684468301608 0.167539719761659 0.103487066092645 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.098069588666367 0.079626138684788 0.0259799678373593 0.0171341230070318 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.054423681829755 0.0442828464577188 0.00778285211758205 0.00518996963562621 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.035303542967981 0.0292428179224593 0.00315781191758464 0.00218739075018392 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155515952265728 0.128309465501077 0.069718703994897 0.0456188804215506 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0474352050344724 0.0397635178465211 0.00636635044939664 0.00470007674725129 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.023697550901519 0.0226034457626616 0.00142091549071169 0.00169627114374719 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0165672304119365 0.0198367700966249 0.000552232858682596 0.00168568355325407 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.115157439244817 0.106870229268605 0.0374128016892633 0.0298451628537268 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.037275483321138 0.0293223557307099 0.00385824538500098 0.00214929206061213 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0217255124076754 0.0161508416300028 0.00126466842365546 0.000498055068422522 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0158809262217477 0.0162675972289857 0.000583763011414035 0.000409890987461688 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.476648564840293 0.404465281583429 0.690091730912756 0.39900132343052 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.195135516571531 0.159679642826333 0.106065442692066 0.0671378868951014 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.108481595908058 0.0884004243519114 0.0317498343050268 0.0207266429142062 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0702073177275092 0.0575880870853063 0.0129766988928975 0.00872082025030409 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.305355139707615 0.258523377111921 0.281951488971422 0.175649757243041 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0934265565408376 0.0766929556906688 0.0255707317341842 0.0169344700305261 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0450673356999583 0.0388989989656078 0.00563201331025246 0.00471695425678253 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0281358404770809 0.0279337592523859 0.00197217642673841 0.00297719074576671 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.228626666998466 0.214271358582411 0.153156810967091 0.114718877111221 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0736079784225666 0.058180775056372 0.0152866041609437 0.00869867519595765 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0423882888424984 0.0296038829875824 0.00501879631190847 0.00198440117651567 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0297663399783795 0.0230659955722631 0.00228568723259582 0.0010175846644121 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.935330843773348 0.83220596906064 2.86160547984995 1.53894556085508 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.386656246031498 0.322628725344772 0.432096374730175 0.263455322393685 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.216065877687745 0.177349583727199 0.129248878343549 0.082225247243645 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.139953395828803 0.115061202186995 0.052938459612117 0.0349626257512206 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.600082345926784 0.528359507969381 1.16023359762443 0.682469152489786 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.184989032248528 0.153539106586862 0.103301840431657 0.0657341279043148 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0889824313102375 0.0746406829997702 0.0231047610562587 0.0166780190738052 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0535993669091237 0.0482073121388303 0.00804160534179587 0.00800227027634754 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.453109912940743 0.434907492344776 0.635937015229114 0.439008589431142 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.146275637490828 0.116499560248677 0.0619689930889142 0.0344533634155568 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0838900090018382 0.0578202259116612 0.0203335925914787 0.00810674991364193 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0582071339340263 0.040446460441962 0.00937039723614657 0.00360477129257023 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.76973141659914 2.63355110209754 28.3908532459715 12.9962053604572 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12686964279152 1.00442870892406 3.99845583112192 2.30211061489762 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.635638361318367 0.542827302252735 1.1835199481985 0.727123722063045 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.414687056260474 0.348129778183213 0.486321525947671 0.310599850231795 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.77618850133693 1.66121118378113 11.5879737370709 5.80394032224405 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.545836734097484 0.47696160439029 0.971248282133169 0.597516428337029 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.265043101069791 0.226395176766415 0.218939877394529 0.146446747982883 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.159332609593093 0.139234401018961 0.0788368943347074 0.0603317299775941 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.35021128248411 1.35725826524101 6.42863784308702 3.57746669722919 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.430922055794489 0.359373387891682 0.584251798876693 0.297390101564414 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.24640897954425 0.17779250154739 0.188538642158928 0.0741665067799758 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.170853531891597 0.11841247261251 0.0884743313078331 0.0320120912745452 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.63657575587419 4.48697640850142 82.8795837096857 35.7672906716783 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.8503968606805 1.70497333053265 11.3248346625144 6.21298537687479 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.04025007631228 0.918076865111217 3.2874938679785 1.98943049485977 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.681144848427532 0.584832429632923 1.34727591369055 0.851808983855802 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.99236308611742 2.85878997163768 35.2474637245045 16.4804593832752 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.911953855362707 0.824281965102366 2.90072782774148 1.74073218161517 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.44506290776554 0.38852823482334 0.653823693817806 0.426276902566211 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269307782546271 0.237155394867441 0.239258756157598 0.17232047941034 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.29718527718242 2.33151768724869 19.8077106856204 9.68780566794797 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.711639341603101 0.620270296050399 1.69976814784826 0.822903250431545 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.405492814844349 0.309517098776345 0.541659847741168 0.215404446943844 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.282197854363805 0.206422420366564 0.255780038118641 0.0960942550541047 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0600550099147259 0.0450596154501972 0.0124281394204817 0.013420307235835 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0248695614416951 0.0146689816701471 0.0018002174862841 0.00115042717511805 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0229682357764489 0.0112270095659296 0.00142180658123464 0.000595710788364839 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0285256452500137 0.0135451774879774 0.00219150530458215 0.000943007824236909 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0528018963671564 0.0347992541090478 0.0108082599580749 0.00478243735598641 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.046592656088467 0.0212034621628915 0.00676910161661871 0.00152123609643632 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0605425180585593 0.0263267176051894 0.0114456338733694 0.00336002691870889 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.100034777823022 0.0449088623940066 0.046638794313442 0.0143865481453446 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0389676137758226 0.0299848431395643 0.00743831359350688 0.00439130893989576 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0143211324454415 0.00973443849473889 0.000902970235056424 0.00043592257166641 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0186058755237613 0.00913186825436543 0.00136255382481535 0.00078925756734071 NURBSSource NURBSSource 25 250 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.033612821380942 0.0207392094457023 0.00454752649015938 0.0157872169426734 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.245366863560069 0.209946925891751 1.09072332428339 2.01037266815367 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0785664889248854 0.0644785256955896 0.0922577474867022 0.19388924577828 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0439646950243573 0.0311348720899553 0.0198611188586406 0.0261616822220292 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0377789601035253 0.0229399346605454 0.00773628527231969 0.0097337212008816 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.185231486837605 0.136215022075282 2.40191653889871 0.590822148003128 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0805769329512978 0.049669152804825 0.316703149234906 0.0650030107063557 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0738052560619124 0.0392642336042065 0.0970381341634398 0.0329127561339775 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.106334442757329 0.0525398066691308 0.0695767964774693 0.0372468474646488 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.208575191474731 0.15173581949998 7.28235379124051 1.58484836891224 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0396691268258752 0.033059814526693 0.0118846270038235 0.025003607353485 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0338372193441471 0.0224073715207375 0.0224127736284591 0.0169545491639344 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0452404589919192 0.0310069733406021 0.031563337671374 0.0346615128972571 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.497754007945421 2.75159774709523 12.0729702778934 16576.6371724693 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.317870731621318 0.604276804205377 153.75225016205 1160.40406826544 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357079917130843 0.459882481329634 390.505597157544 785.496796020835 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.368708617606355 0.407340722888937 478.328554765929 656.259183077462 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 47.3523647542087 0.272799509859048 8033706.25968473 2.96607350690155 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.0061565125011 0.0955410843889428 387906.500373536 0.690858232944493 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.37876738651724 0.066827465446804 81930.0085725234 0.557441267082005 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.1432418084572 0.0694304630286654 10131.8141247167 0.266056477761052 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 132.032005824546 0.79923718501067 69165124.0046446 604.55247489885 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 38.3363469328134 0.42921386209874 6094365.47144717 544.630231384519 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.75718404498011 21.2672356793596 29787.0225640182 2127097.69570459 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.9872043052684 1.32009662298242 44990.8414950211 7186.90386140087 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.869438005337688 0.811133482019181 9.10585385193751 13.4989337083697 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.280485781555352 0.230032319173988 1.0827779980564 0.700505651678099 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.140254568159043 0.10578460377928 0.349711046373664 0.068894555874793 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.091319282921884 0.0657503219138959 0.1544296547733 0.0294217267103863 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.627958836279926 0.514601547985784 14.2985821928338 4.4586897879909 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.211376374546719 0.162679792225189 1.74021661205305 0.324594023365949 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.133092256462756 0.0935371302723854 0.599571657122826 0.108463676602969 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138165791104323 0.0858716972732434 0.253318150636341 0.100953241679859 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.688810122320756 0.533007715305963 40.7976616003381 5.78034755905525 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13952775388495 0.114442652863856 0.168966772224429 0.157918840337859 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.089358620881292 0.0714869268413604 0.0936455335288742 0.0972450323745291 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0870581657974708 0.0642230756756258 0.0987513211499003 0.0757484088908205 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.55611011876297 2.42586564524446 58.689407632935 36.4947687568434 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.791315926223509 0.690710610035444 5.05422001683018 2.67039032408982 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.387686821222433 0.318600267335593 1.11014583894477 0.522532054133573 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.236816469449223 0.191854016482597 0.353477422105821 0.197832210734581 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.7518416140313 1.5580461425366 33.072057737932 16.3147916765146 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.542218133725799 0.492514591795378 2.77317249721097 2.11381359656083 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.296819887081266 0.26190696597418 0.681883743022247 0.641839837537094 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.237204824796869 0.195259479744588 0.323920238601184 0.48221270613139 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.78728962626848 1.64217817158544 41.7136672201142 21.1676244595831 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.420471124273441 0.370819921284417 2.93951994695035 3.42242872696701 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.249920810651482 0.196772032746426 0.64132098214995 0.327457266196673 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.210480432447427 0.151614244316233 0.420938919789613 0.155726931609533 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.55438345548452 4.2112840031599 14363.065905143 111.530372446435 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.86306278524046 1.24126096549979 5733.16609894336 13.6110788033511 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.2335107317147 0.590351237049963 995.398501569454 6.40509964319376 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.550120356966244 0.408202884719322 92.0570215413239 21.9465322914388 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.90688446878442 14.9128745183785 17449.4642712643 708157.67827907 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.91056119840373 3.94994484711993 7.91855275473563 30622.9677125867 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.498592828419279 1.02511953686323 2.83801948025766 1181.1344003657 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.370644868830246 0.598023785461516 2.17549034843921 292.593144935233 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.4518848932783 166.21746272107 440.499953660575 125846577.576242 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 43.7116049483498 1.18737411025821 7773372.57702954 877.592776390851 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.696112707467773 3.49313766477913 255.259894669909 29572.3583158667 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.370559829509284 1.20651427365511 1.74679253407463 2110.3639040872 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.922521174247967 0.679072958729434 218.644436493763 27.736547964033 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.337550757531359 0.276470719618463 67.6851008451208 46.6884426239537 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.209084009893865 0.187889827186202 49.8573756814545 50.7519498302051 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.174414472556328 0.131461182850933 50.5716031107632 29.3280422049928 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.36714815942334 0.712627076077149 3993.06739859972 517.424235254264 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.70890370150332 0.126518558008956 777.488259489287 0.154286248872076 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.554836739096905 0.0761495120844328 480.634610853096 0.0684481123993157 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.465054519686816 0.0728900207153296 277.790735051765 0.078307099292672 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.17681458264839 0.575446355333459 8747.56864504591 73.2069487018596 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163991162624769 0.451233228627837 6.91381379109759 593.626335071043 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.161459950432513 0.278201877462723 21.5356473916113 189.587105999121 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.102714288200118 0.39306349980319 2.0774844611855 260.995756994675 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.42313572943528 1.33206316071895 28.0551713588656 56.3530361040508 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.448968492076129 0.389122102404796 3.33443752369429 6.47135949357176 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.221977014144031 0.178003434455808 1.24269783657397 0.675775955788805 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.141234642933413 0.105142914803867 0.644567181179337 0.120880479976011 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.976777293155573 0.840793432652152 40.7539039082532 15.4970133725927 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.338831511654283 0.256320219116887 5.72221759990064 0.791606778615912 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.198108344185494 0.141078181745399 2.06637855004689 0.220860318877809 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.17656118628141 0.111269112598633 0.706433159335732 0.158284828920264 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11140106129292 0.872373213337617 91.8749500815648 13.270659734375 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.222028582078119 0.190242808384573 0.541762248604482 0.739296699600121 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133997707229744 0.111829935173409 0.207868125867308 0.192888367030148 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117497867262358 0.0956480070790121 0.20363946572792 0.182920901036814 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.94757428506857 2.61361975060444 148.156024056697 59.718064673117 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.888141149512849 0.757146040644339 9.11058344921863 4.68081306291 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.422558154634623 0.355332161593317 1.69760429206418 0.918665238352292 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.254659690764878 0.220750882496771 0.501717192675558 0.615990095884741 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.89047595615563 1.85799844148317 55.5287106785484 87.1116758859241 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.641309862480813 0.588365743876357 9.1643068624555 17.4086340432307 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.345351838476773 0.310765908317364 2.24290105194528 3.95383129283927 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.266618622464606 0.220753205340309 0.787794254838023 1.51502093383935 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.18515320036643 1.82614387487756 190.744041538495 52.4302850863813 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.465009421149083 0.381548333952895 2.83061108350925 1.31856788938276 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.2717259430366 0.219696151855811 0.872536378474201 0.444958286908338 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.233928574948203 0.167205928927032 0.764678237178526 0.219826155854338 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.26441513141584 9.27867733407029 1121.66793946534 2934.12408867053 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.99515555914044 3.19806088340545 193.663172295679 1248.57178520483 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.4604303305013 1.69365792474999 90.732719981611 415.985174756838 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.918202394877084 1.08412878618564 66.7739319985553 94.0345838895089 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.32041215323362 9.52332027261496 10152.153472575 18936.2514268871 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.23501204609805 3.36339811247572 2459.57875048576 2927.15547943872 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.71739511138005 2.54937587934201 1082.43592823756 2145.57330766259 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.20508429866124 1.88142961614472 570.321744082263 1303.44251394643 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.5840354749653 8.6577019325189 24602.8975123248 4465.23572513862 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.64517109992093 3.84790081449942 10553.8489455532 7779.61118680158 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.81846272664914 3.250393800793 11973.5431865415 8684.3939581494 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.52360327239383 4.03174943655919 23099.3924086191 35142.6555315074 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.4358621302841 15.8827935272868 10366.104310106 3147.51025415333 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.99449764636044 5.96510963708444 6466.81066713494 1032.82165612151 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.85784099767438 3.76042376166368 4499.10841285521 741.833120808765 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.08010129206667 2.9016990498739 2195.87816305639 624.095079779098 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 31.5490938739832 29.9789581200775 210833.402580244 123819.018660925 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 20.3150616628259 12.6178841168057 149620.021741583 33954.8676087321 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.78933151074772 7.87978978315122 34973.8713090315 14174.6585462643 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.53341160618196 4.56981272080098 9219.19357771548 4500.2757870397 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 178.033623430245 265.319474421312 26373468.1550679 144278545.390337 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.0574585676697 174.210365904757 110137.831893466 94332116.2016131 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 25.9695745761747 18.7679444283816 477101.671653303 192199.851978092 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.0495619845219 12.0120542998356 69393.9628357308 59243.3803833764 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0691131017667564 0.0783141710783491 0.0113368171805304 0.0396234347315658 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0227072539144728 0.0256395344896949 0.00114689633513364 0.00430595362834983 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0151238981115783 0.0167175440248456 0.000512475813855611 0.00201463125141135 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.016211373611274 0.016752626155323 0.000646643910148442 0.00232737460416385 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0559608381073971 0.0630603395843176 0.0099564639674603 0.0171774596944293 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0405426159357316 0.0494424207871163 0.00539987957687014 0.0111094920785073 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0510348263796548 0.0599327051169395 0.0337788377474685 0.0227469398477598 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0692435744763168 0.0823582628799928 0.0300414718548124 0.047052226946802 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0516973351405614 0.0569227969013286 0.0126285489600503 0.0168844870177423 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0168139899718842 0.0197455001741638 0.000930130890505886 0.00131979793569275 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.015573948570507 0.0238649057175606 0.000897475197697765 0.00267498084840103 NURBSSource NURBSSource 25 251 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0210122839355196 0.0454876250569864 0.00252140445353294 0.0215874684200781 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.401656634690634 0.361978259417921 3.43313010283419 1.77695979277988 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116827118295238 0.116932858091498 0.180905023512753 0.11848760203256 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0574224862560767 0.0604173873446372 0.0425050916626986 0.0260714666696348 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0377601099871684 0.0414987314608013 0.0115621939327492 0.0142945500569573 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.237733389820573 0.274105881273641 0.774966481170149 1.28694430457693 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0899476160834656 0.109596104285174 0.0881881696533707 0.163806493094031 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0712298964029742 0.0861758556721398 0.0453341497476913 0.063680114474488 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0810358694005229 0.0978763033252576 0.0420758226659438 0.0742853853951533 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.264621182456626 0.270379038001967 1.81927728869421 1.48469416426921 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0617643358293899 0.0660949458790322 0.0691201055895834 0.0425424253340919 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0377671498463915 0.0454706827132062 0.0147392311656237 0.0121617856893959 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0367118067159862 0.0611544398017846 0.0180897896582341 0.0348256507392039 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.80458486281845 0.697700439890035 15.9752828309741 7.12609920963151 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.234382341481365 0.222370327202165 0.876546961605033 0.477008261722371 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.112900016455242 0.113105254627406 0.212225566410575 0.100081199287966 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0683218202820417 0.0745580615191853 0.057054933132418 0.0539665532527961 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.463935584217924 0.526827950344541 3.54340057477969 5.45372913360318 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.156091170469739 0.189608981360088 0.383309160087921 0.690163940306949 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101805573072995 0.123576012487885 0.129422925064386 0.198557312988287 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0990943748111284 0.122082995317187 0.080105060052024 0.161753687092513 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.529753655898629 0.523448480326898 8.14957358431119 6.47915150683784 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.118028920691772 0.123061445193023 0.307019632764132 0.173432048382464 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0680164199863153 0.0734710535511817 0.0638974890450627 0.0335974964215385 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0592333492738051 0.0824092393826081 0.0800738447798205 0.0649892059815933 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.69060986998956 1.40245977653449 90.4777023721173 31.1652523610892 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.492638001299149 0.445466461592439 5.63796555206442 2.09626679071258 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237446719740839 0.221562024144185 1.45536326734471 0.426965801013855 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.138455817815977 0.143082916215776 0.397699906695514 0.230853424666723 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.950228962757951 1.07357360775496 19.58216428841 28.6346683680559 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.305456149450753 0.36756558967935 2.05758981264114 3.59215464025792 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.176658794055676 0.21450506679177 0.676124757609618 0.940394079533964 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.144526624993087 0.180501363503178 0.289252243338249 0.611403085424437 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11392815419548 1.05672855486589 43.4917290762364 36.2126864314336 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.239114242879608 0.24364401192328 1.44644831996981 0.787968030353239 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133448053413466 0.135735406585259 0.303334261105648 0.132885800442668 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.112857949059374 0.132133971589287 0.362488451212593 0.190532718037877 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.67441121406938 5.01493197544037 1194.75892614662 1703.76447928145 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.02846626681159 1.65719866205633 300.683044995085 185.341075709365 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.14020937974973 0.792093136871343 205.998646404313 28.8154450121737 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.761586830797767 0.502767893615605 150.837921771373 10.6106237858505 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.22192030834819 12.429730978684 4310.91478121646 167269.495878918 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.41313082883571 3.48475716476538 539.509338127216 10168.2856306721 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.869265976420736 1.42111869399401 313.614650091895 859.681636915472 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.42388177353483 0.980123008495363 10.0369992110516 451.719797267028 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.87495013432728 15.0265835034692 70613.7656334479 549095.686589841 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.32429806082805 2.59457619404228 733.153192797392 11158.9226083618 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.923159256748708 0.549075772561043 418.412179097132 21.9749903775619 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.49182122206713 0.703436466819103 3172.30531805352 255.771158451567 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.2947846168719 7.77809584740338 7534.83109328779 709.985457041643 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.11809913420154 2.77296063367471 3622.48817570191 205.08536391633 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.22092884053848 1.46272954582386 1547.37271058167 101.00814779003 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.45228533048581 0.930932340798035 728.386210322159 59.7595170655723 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.9578396848399 11.9770536741623 114677.818439451 42439.7161854151 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.66296107798981 4.56196160480244 37164.1925492146 9605.57567266095 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.48527738631439 2.08554563756066 4740.79821062365 1175.22951484437 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.04966840665525 1.55147005682358 268.433883559654 901.665384191978 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 61.3208416617079 14.0839897194873 7448484.23022274 171153.005545162 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.3019682243109 15.8388780516804 2481.2272229259 433121.435377151 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.886804678716867 11.2073747457706 32.996590661866 349639.326480387 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.775250980991005 3.02244742162345 37.1490716478735 3902.22006201453 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16626118456272 1.07418658020087 38.010997162521 13.1403014988386 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.352066891336393 0.346219292783752 2.68014701008632 1.27026066655853 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.172065791298831 0.16758609181277 0.778324994262524 0.198906623798057 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.102415401124234 0.10523224067281 0.220995468011302 0.075220931537003 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.749974937628392 0.725867097599789 13.672751035814 10.4989250711124 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.247149937676634 0.244442038642094 1.45103231706276 1.48412465906621 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147214133575093 0.154311717564885 0.490038200578099 0.439408421546436 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122749746536347 0.139913904671015 0.218075853686408 0.265306758014721 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.866646735156062 0.7643381084566 24.878758485793 17.1534449368107 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.168398496787876 0.183548004665826 0.487259092291184 0.442141746661939 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0906627084998963 0.108593905416115 0.107001846263487 0.114284959757314 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0726409946425868 0.101692173689741 0.0574614337570996 0.081190022545272 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 23.3238444686093 2.33410044049566 1548288.40977148 104.976354262519 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.4516742246658 0.745354696830397 1166.62345088167 13.6471166132419 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.553623003094073 2.45863658029974 146.572315838113 20035.4789809233 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.364691835696276 1.72354547047161 78.6777933566064 10182.1202675415 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 34.5028964542589 2.36448355720444 4781039.26593913 2051.27684009831 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.647083586274886 6.73037225867908 90.8811284343779 168958.084693406 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.482857377305137 1.69347660679916 106.086617979246 8505.8366007423 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.350863388053998 0.339943214794733 51.9441422115368 51.1111665607297 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 89.93099217624 4.46302622957391 34023612.0497285 37483.806518443 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.564801850388822 14.524678019036 71.4964950915586 866918.201683674 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.60431515821517 0.412492027164433 8861.0538674644 95.0873487722863 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.16138453272009 0.597785273344444 1.40732694615352 464.048985712528 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.34433686447131 6.63837690436377 1331.1378122885 5635.99357039943 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.83636904744592 2.56786920613985 225.118118843664 2059.2943875962 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.970273402488898 1.40241262266129 93.1339516948606 922.66518170882 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.633240404950787 0.944079302283203 60.7442185787081 577.271842695809 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.73073344682945 8.66192061791273 54807.8694357103 51910.7962127712 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.44408124433397 4.9244945096915 3823.62549044919 39770.3531016242 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.76623256755523 3.14160339522807 122.618603212753 10369.1250081624 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.572460775937556 1.3582715343405 62.8612171848245 1428.58372121819 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.1495800816388 5.63816600909539 95386.0132658438 5012.4594910572 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 16.4680697737471 5.62394329189775 981999.519526759 100536.861319679 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.09003336084122 4.10995327893174 1247.94489061524 29358.6535352103 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.61655492793383 1.43912476389423 5126.25394834449 3956.71449319211 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.1316511574793 15.5638569605243 23271.3219572438 8537.71155685352 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.74116443262459 5.19101976791165 8189.99034657733 1376.74639284859 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.68022567917534 2.40395555621578 5077.00964632507 207.992713673844 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.37265038709473 1.54704272717537 3617.84792702899 108.769879560035 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 16.4750078030593 12.3150993788767 36517.5586958891 8561.22140751525 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.91632580430574 4.81474521273495 28669.9970377318 3046.48595724217 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.37908683983954 3.36351304628857 3556.21635177296 2213.09638291045 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.09427072190269 2.47705384550583 1107.445973765 1155.96770487681 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.9575970887508 96.7110625210319 38189.681670769 15251264.1033063 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.4635275564743 6.44086080396107 106446.589263338 13360.2660700292 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.77644144985537 5.18840064715499 12645.7644526229 24662.3855828825 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.05156891617195 4.46530641436563 1682.51347711653 11602.2690830281 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 26.4417977769794 25.9419766399881 24725.8099320159 12138.206312439 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 10.064794539021 10.0099134286199 5751.67858239303 4258.32348454598 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.0428714030898 5.91063172307861 4625.68086894125 3021.34310756895 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.40129801257882 4.39135761151124 3809.23244475494 2521.92173625359 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 25.8968048578206 28.1790990907864 28724.7817111764 97816.6733491748 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.98242213987292 9.66253641142324 6071.0600967423 7122.90983626879 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.44827561983139 9.97627152089174 7147.94097732988 64200.7024934871 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.75080197493855 7.15658630755175 3214.35703956939 23898.1007008109 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 48.110503871707 62.5484035900272 288097.403102704 717699.747601844 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 33.8033251428414 28.0488339572081 883607.071806159 262934.619766984 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 55.5573341155136 66.8917149244906 6182631.71077547 5885385.1358866 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.71276607216696 16.8596104741661 8125.47310553856 172822.920673309 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0332795009735287 0.0927916452602358 0.00286913965301081 0.0570524249804192 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0138803416997109 0.0368942276034858 0.000483890074235725 0.00742735268892417 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0119161869541646 0.0297488238078114 0.000403571598993532 0.004473094583399 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0134575466878989 0.0326929198699539 0.000511688750739576 0.00531259027849295 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0257613273315129 0.0782502341324672 0.0025838979977437 0.0289427107743866 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0244703320358912 0.0647255824319284 0.00288613424886296 0.0205532427181045 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0309755266258215 0.0810459546350444 0.00525791971938683 0.0341407468731456 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0429117604458513 0.123757494656643 0.0109215387316053 0.0789458730105095 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0188494518384912 0.0575783587752672 0.00151871355357309 0.0175183315061624 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00890724646052222 0.0221630871770462 0.000199247243537779 0.00159842325795827 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0145713277549405 0.0288690009325019 0.000618252934454998 0.00260000808977948 NURBSSource NURBSSource 25 252 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.02509217195931 0.0458747753882957 0.00163502410681689 0.00713960685431906 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.172115157602014 0.30213106471352 0.900342008688742 2.67759143256487 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0488744665935286 0.103901772361615 0.0402949016078291 0.360082505934248 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0245560551367783 0.0565982540914161 0.00501859567718537 0.0540008958037013 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0194400337825707 0.0448782029566065 0.00228219663723816 0.0184118467231768 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.114591444756265 0.21722103396858 1.21113352911425 2.6774521090739 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.042807398776544 0.0969475304950701 0.0469569101760232 0.247272827982896 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0385571274878391 0.0929994601008722 0.0168715171883952 0.0777482673252325 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0468022128077447 0.130611051360031 0.0144594935557567 0.108607788061269 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.132438264835081 0.196643269624418 2.34292788644544 0.867055156733132 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0289527903043482 0.0546403046987554 0.0464190527278839 0.0732458732963824 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0225392568918124 0.0417970379545743 0.0131212276824038 0.0116807730429596 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0315346258320558 0.0541491064028656 0.0162221081029576 0.015711498694762 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.3788616327189 0.613885629662116 8.50968020375088 35.2834987460759 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.099044852855926 0.214703839843077 0.27925395692954 6.7432413220347 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0459587098197289 0.0970336704052014 0.0563148820401043 0.320594963876466 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0304261080070375 0.0640423317433736 0.0251590001123943 0.059495049927684 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.248012468325764 0.511489911320564 8.64512042201446 107.175067073073 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0759497247560712 0.187655191378561 0.406100423603795 12.1888972665656 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.054471945156425 0.128439104013785 0.129417981675215 1.66485167023547 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0542123795019699 0.157516953838725 0.0298135422676 1.41441565314639 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.37924032125745 0.388758412339127 56.2433167384769 7.05729759533418 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0619380663202686 0.108287135964147 0.483026173474748 0.718607896937569 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0356948043549938 0.0635856419381814 0.0913740237033182 0.0766547830160387 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0445145734314409 0.0690021706091996 0.130571512995831 0.0621346185941769 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16680154716366 1.63335158458993 383.875751650916 746.210832135003 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.648024801974929 0.85055809292533 374.304720400771 775.475066867894 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.546704257878331 0.606728822251265 365.669339219849 599.207527412465 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.460750116464525 0.47375753376472 277.672096198413 437.4121932548 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.2579184738645 2.33652979031921 1518.00371701902 9299.08637065109 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.618646739954722 0.791694624132613 321.46583259529 1366.2432896741 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.531649204300034 0.485341289329097 231.689662617896 475.122326123988 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.288429503189083 0.388769371225615 74.3441892386891 215.669178321443 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.81688776482692 1.39570636046022 12978.6695532569 779.346952686421 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.352804236490651 0.727356173121851 185.992959455316 309.03198795187 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.233358005824589 0.522350030828866 121.580063185584 223.786631055009 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117674962214262 0.519449618179017 8.98012130928917 174.269020722006 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.68409840482557 3.22690164622224 441.231790384696 780.122884662877 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.821310837387064 1.3042292796192 108.781528148084 363.633595154254 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.487836695960514 0.663119706094947 141.775174965255 106.586915124332 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.338294765355829 0.454561872758485 105.663427899681 90.1249736977147 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.2462452194551 2.08928081561832 849802.881596519 209.1383178065 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.08422813864692 0.73750352305581 6007.85474041552 30.7196883945164 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.522555787444858 0.426414067299856 202.339356526794 8.2073153745102 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.218033883192106 0.360357228968547 5.26289262270421 5.7476666360778 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.4227727139421 86.9029069731212 392021.930059584 31033929.7257353 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 19.36692650572 0.746069415680782 1226437.47110824 125.236968829302 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.48832363542718 0.349193341029004 2743.30534600638 6.72319125404186 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.689073650363944 0.286586077249902 827.066781697921 2.50688246984226 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.51601931566867 5.50480455071928 934.403888153852 3092.12259642188 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.34876339594365 2.12377470370842 104.425682573347 744.742268669219 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.690350884093356 1.13230405388706 67.9845392547152 321.590396629553 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.467622452123925 0.745263904648804 53.633339378737 226.717074530333 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.55402124748297 9.72569718317033 138.740227379647 139313.25370165 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.883921800200509 4.36552049661663 82.8203895676784 39764.3017344736 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.541535368564656 2.05962864921244 67.3628108032942 8930.33806215136 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.465201509150977 1.15358130456919 54.2494364378326 2113.67013533768 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.12413486175933 32.1069249076168 376.317955665075 3381932.98683526 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.8511402270394 4.18251701214791 1125127.01656781 37009.7978872559 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 23.6843228119358 10.4609862516604 2340334.70691257 414202.69007749 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.914003451714732 1.45151673963242 1712.87524328934 3494.66551506535 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.504779125296178 0.700649433708535 4.16132297956127 4.88781143742956 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138536794166954 0.24044231521437 0.287012465312203 0.450190411329737 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0631337237700689 0.120691984861567 0.0418421686151732 0.0929075917860702 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0393384674646348 0.0796129432098489 0.0114856200684337 0.0354988419376347 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.275803530783649 0.483737723169733 1.15916220028232 2.09899050190469 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0938348107288647 0.178082444133144 0.137812947060122 0.291107473314642 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0598718814985924 0.126431404981344 0.0376388363636494 0.114401557496159 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0603589403536066 0.144670194985845 0.0326392313002121 0.113035855891744 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.289131310038262 0.503321364034742 1.66249776107369 3.20640149377714 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0625688367475902 0.128709886389849 0.045280656585776 0.137750550707031 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0372238547242871 0.081583416268906 0.00954611497860398 0.0529365783256709 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0376171106901962 0.0790616790564106 0.00687872448564612 0.0386590345274793 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.61014860234735 1.62901527002009 770.004954389232 251.750086728473 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.544507644474221 0.678707049564093 141.33191331304 120.224632479253 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233966839370728 0.348779467931976 24.7592751906927 42.748043218585 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.140232591110012 0.235649456939237 11.9893039170485 23.7212840110693 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.19191969925284 1.33759385310665 716.229094788758 804.702090480308 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.347421150247216 0.521496257812566 55.5929497843309 126.932530275945 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.223516447652183 0.332884695915936 28.768948289186 44.9586943961388 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.171819973542489 0.295838479239671 13.3221935553215 29.7569889745743 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.671127563619563 2.08615090652187 13.7113970020931 2303.49322149514 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.25961678320522 0.508664760620852 72.7611079013701 104.763610222905 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.405339697853572 0.380824629183792 439.388513552814 52.5235369353029 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.79067575335251 0.332911305614809 12854.4597779137 120.633420965647 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.33186921336989 2.83188271881796 68.1906875131386 280.914820381953 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.678328701172169 1.02124550586886 14.1995825361467 68.9925326650744 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.295107210373785 0.553525245715981 2.79273281311994 39.2940186559739 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171301159172341 0.372601695600247 1.3827212422551 27.1302701135048 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.74806843339309 1.89514267964591 497.909102808244 71.784689675342 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.562617636444223 0.69488833549431 62.0526552550076 29.3411498701902 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.271436755854331 0.396843191947756 9.33493001073626 8.3843517646694 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.185040521415915 0.32340420497335 1.89548126383422 5.49315607615202 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.04804267893095 1.93049833059499 484.718437377571 50.3791407108115 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.316387106288932 0.613441387205013 2.97922765833987 19.1585011908634 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.235566458991873 0.317482009815648 16.0358843074633 2.95315246075577 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.222638148685242 0.241925347427522 13.5109074576869 0.964600980036386 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.6936252428304 8.29572816937032 14518.9573410315 948.783585728236 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.36210165115774 2.73521735437482 4190.69699328376 156.262588717518 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.6567038520164 1.36006407641235 1704.04479113157 75.6870953932794 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.83104535869364 0.856316980453343 615.284851462439 55.1739157840223 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.1029179527028 8.0589783614021 47555.8501902539 4091.09995626599 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.74436681062365 2.53052092365168 7518.92145074459 586.382837673003 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.24140295649443 2.14052641545342 1283.40773815586 1206.73940418816 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.65231831139865 1.67183642072979 578.111764196261 1024.80735789475 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.4831339253565 9.82752655280476 56656.4345715085 9881.69627033423 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.54828666593702 3.0229414503891 4447.11257116549 1475.21352313457 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.65748413383724 3.96272498884868 4301.8750239268 16086.0174681685 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.61468819182059 2.53960504181173 7932.11726512217 1377.69057399201 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.1616500558512 15.0084076022265 3683.41701689756 16320.3108625141 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.41081524074566 5.75729852512349 1703.35856311499 2262.59996313616 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.20155287760657 3.70399749566446 1448.11566431705 2329.39261924724 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.12658967762427 2.25323324495932 896.08303158253 455.546353164072 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 19.2423668976346 17.4695984039105 43323.0111572919 26375.9004625859 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.41934046690306 10.2358864196384 19366.5868287085 23191.6433768826 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.17955494047924 7.42876973583172 7083.651500396 15937.9908623606 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.43266215178467 3.58932268948009 1639.20491910703 2483.45460668777 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 36.1208791802 103.397160218292 252607.990591357 8383281.98653135 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 21.3047246035575 15.5077284717981 224700.924285213 95057.5621976902 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 17.1020154666773 8.87598140038424 309077.794484395 22152.5188786209 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.18914872238735 12.1789692412733 48015.4877403577 41471.2742088351 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0315012790768857 0.016583712589985 0.0022534991809694 0.00142188184767185 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.010800367300608 0.00869961818640695 0.00027973203566621 0.000314164827860893 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0078282027820379 0.00894488804168147 0.000195176052493114 0.000333944404813434 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00906986458827576 0.011081253034412 0.000488410888469115 0.000542615909939793 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0267927677799999 0.0167925583837174 0.00224339211572668 0.000975449253020321 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0194781360308736 0.0204095031902084 0.00137031152509358 0.00149929059394318 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0244278818859586 0.0258249425721753 0.00285372573783016 0.00250962112094515 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0370656744034724 0.0397000769555642 0.00800793247338153 0.00785652527755942 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0215111652862676 0.0100476895765418 0.00168076475691723 0.000460908459844182 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00791420018148069 0.00515376156831446 0.000237672358506085 9.73171318056366E-05 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00957208474668346 0.00990202778919214 0.00121990238207084 0.000695728563096758 NURBSSource NURBSSource 25 253 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.01817559492491 0.0204153064783939 0.00402921286072916 0.0026821598142293 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.186568054921692 0.134523488917902 0.836676152750786 0.425390479284783 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.059126116224254 0.0390677370506886 0.032395196633121 0.0333640306749302 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0301527243506242 0.020529814921395 0.00662089342801961 0.00735155330802968 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0208020340358618 0.0165345392838939 0.00247363956815547 0.00333234089923399 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.124233105174195 0.0798119479023229 0.256577975516539 0.222201968993261 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0484919316154989 0.0346131400839599 0.0380491225244191 0.0345105047171758 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0375816589040824 0.0312320158725244 0.0150212634605666 0.0134194327744853 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.044008173007624 0.042445104508564 0.0127671269134018 0.0128874767354591 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124394841207607 0.0820101358688417 0.389306362523491 0.19675665366352 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0324857525714876 0.0191686079812819 0.011359809290017 0.00993180007495086 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0216304858245664 0.0164454331895806 0.00374318798184499 0.00335684549768597 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0250477453357862 0.0242817331108188 0.00563324807874903 0.00354446055337855 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.356891397038323 0.28663171219906 3.26506572986191 2.06489528796187 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.11282888761802 0.0802565026289684 0.12567827939083 0.164350077438817 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0559373397021234 0.0375929759052863 0.0247427975910162 0.0330171314664773 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0357187129384402 0.0255366680655922 0.00824320578051148 0.0142891875325922 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.236489014440169 0.163329887463437 1.33093284292819 0.816476985857372 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0856957202436804 0.0570692515034628 0.192837020841084 0.121170631278632 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0554763385726827 0.0413834590876809 0.0660350762920093 0.0434958347380063 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0537864883891295 0.0475166186410251 0.0292281985295487 0.0258077054625224 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.241297675703074 0.175427754582345 2.11880778815143 0.798990853671959 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.062129273474627 0.0368656078747784 0.0539591392418381 0.03731582434999 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0368755413236555 0.0256436266641399 0.0131256064013857 0.0128519023088622 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0347574522723044 0.029635608895965 0.0129514013357032 0.00633523228523477 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.693869415005675 0.631996127547746 11.5273093040647 15.7613763208546 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.221629499927154 0.178707021436321 0.55592878160292 1.36043627276562 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1079844934499 0.0783664892704078 0.101962053714556 0.238303703771039 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0661747001173452 0.0483594610938672 0.032655500105353 0.093444835728923 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.492262357273512 0.348481756516627 16.2488350593923 3.00463675330937 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.175413922936639 0.110032528655247 2.36926198050709 0.408786613295592 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10182461782226 0.0676857439979024 0.842611504726263 0.148138812945249 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0795014396957894 0.0619779921438035 0.25189871176359 0.0653782088721959 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.514914818454854 0.386057643788142 28.3534895389325 3.52199673896911 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127834062267041 0.0777536461307919 0.49066872478486 0.226867789035486 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0694058243504993 0.0495066881769772 0.0541211450797059 0.105432289545097 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0579418936623346 0.0435850726780422 0.0425109095685626 0.0278968837497475 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.18920838887785 2.32250267169877 148.795972011792 482.426073745647 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.800096514745015 0.872923691597764 46.5976037484148 268.127491873378 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.444370741836781 0.50290746356758 26.7368267165462 175.146948472133 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.292517206534908 0.347625839177527 15.9387726136937 112.863444317112 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 18.549432676547 1.48496708518562 987497.942482742 256.729621593356 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 18.8057512069571 0.533313597664514 1354545.76945419 99.3585411565849 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.84783907972003 0.341774424594199 288643.457189639 41.9523282712877 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.1551775545043 0.248556957769785 11656.3470018616 26.1850611258118 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 17.0573409324709 1.59239293908837 673949.901353428 161.427610272274 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.69275167071578 17.0008391260652 6708.21448083562 1314209.29904324 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.84667957277944 0.608157063450267 98660.4430682479 780.914589217187 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.217383861390824 4.02037882504278 2.67232547426114 48924.819493601 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.63566310433162 3.81983696708195 2185.93884332085 553.10209086817 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.94478393190267 1.39087599126961 839.312142028636 208.557840898554 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.19334014711649 0.79048788871895 523.202366865887 111.891588240836 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.858064096563446 0.610519918415473 343.345375933721 110.355736090567 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.919703124478 8.67825922868233 218751.609042121 66729.255414152 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.90825261648438 4.81620997851224 1579.16335741102 26253.9944490652 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.15630733109149 3.34189942665296 708.231232091725 11248.309896484 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.740635873861311 2.58006529126996 208.745024038499 8645.36665061565 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.6353648569171 12.5448783818239 236210.793259568 172281.728159473 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.50171666218112 8.03811833514289 5414.43675415017 175052.431492342 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.31554349666772 4.44322503979891 27028.9510346913 37846.990019998 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.04357613104503 3.21419407646325 1323.98235852896 5017.0979691316 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.5491781394451 0.484114840595266 4.83613523212311 6.8243207461159 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177128019083438 0.135936376416339 0.305086648074446 0.623333588049902 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0860709632441681 0.0617476817142371 0.0542534695377678 0.123655297018033 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0527036462465609 0.0389401857493629 0.0181041454396201 0.0444644828231949 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.369814353260857 0.284125343974071 3.51316266232161 2.07439789277556 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.130809285742847 0.0892605367146787 0.492666534465482 0.173601132689964 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0801796402958148 0.0543699440816889 0.180076430893714 0.0495675208025835 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0670115798208453 0.0542501574606321 0.0653628616285845 0.0248779408924036 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.402380515993754 0.327005854207184 5.87433646243618 7.49957973284677 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0987364867445678 0.0605833863171608 0.137392964609042 0.0802398821818759 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0574005325387937 0.0373993721466056 0.0369759122075983 0.0292057783148952 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0548737593656949 0.035961980259516 0.0375994076285897 0.0100485878024653 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.07809280254008 1.04292856169699 17.2361443149584 28.5476173579884 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.348309702933098 0.297782596374471 1.37970800571503 3.35128974640762 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.169253290740055 0.133283526401639 0.249017304948364 0.79175853505323 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.102204052155866 0.0792598933481274 0.0811060254970326 0.294379029852737 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.730942040687976 0.618800273410346 16.0595709607339 10.9847479253024 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.253928932733825 0.185525140857717 2.20585308929195 0.845895672118121 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147310570138497 0.101136750002522 0.780267112641357 0.23471339169258 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107073136873277 0.0796098181558023 0.268385138489168 0.0861394266657555 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.797691019534443 0.703397137165149 24.8738501916428 28.6910019468305 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.194801652433369 0.129403554266476 0.595203416105892 0.355211562642249 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.110934412246721 0.0722451652441581 0.162982010446961 0.119380574948178 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0997200611679231 0.0562796650819292 0.14310645976229 0.02988078610354 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.20362476830279 2.68582296119122 86.8080285275828 1100.39059260826 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.743421411702196 0.888725460570612 14.4195606350324 189.217962267347 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.370378201256036 0.403637210108741 4.4206286266467 32.9733740356118 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.222860749466795 0.244364184102743 1.49959806321268 13.2935911721787 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.83351875407183 1.50527275192435 394.40371435686 165.021979554004 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.658538802799102 0.45869655203738 92.1252014037104 15.2301252172264 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.323433535529517 0.241443433387296 7.8352931944002 3.91202600335437 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.208434682394248 0.166507980025838 2.04028604828689 2.22666155093406 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.44616886019718 1.57258321613969 2930.90982050297 125.817850017401 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.462778274056309 0.313690147982569 11.1865405093409 4.2962944521643 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.30735980549154 0.16334416994505 11.8514310958257 0.699830537601936 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.268300674685433 0.113953524749904 9.94345233659478 0.266788816705469 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.06384012918871 7.23530620537107 1140.44969986821 1551.34599604498 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.48869392812103 2.496054180328 198.780212391434 280.880699264023 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.3509201385283 1.31251350860861 92.8890739318482 92.8799998076573 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.920102790085662 0.849708915285171 60.8621489471223 47.326054840055 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.39631231463546 12.0906322998929 17678.4456605155 85080.8363954584 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.2585403410258 3.27510859826878 30229.8976501518 7337.43388883175 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.91492660045978 1.63140547647074 17344.7953627727 1162.23794284041 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.88672212937451 0.849635143904598 11935.5316530615 250.992922890745 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 43.1859752623143 50.8326506232377 4336634.60352595 3033817.24398917 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.68938725289042 2.81165570966069 25127.6366367163 6804.41535803606 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.79110698897602 3.32823338394641 907.83524306191 14748.7726184097 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.91141173815971 6.97787731664543 8539.28842186535 137325.962251715 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.353677662013 12.2107944762868 3328.08077656973 3658.9159741029 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.88965540680034 5.14228148995737 2840.92838914286 1759.35633802955 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.34397342485874 3.21401814422735 2953.886192596 1157.03469496069 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.64071042144985 2.42636427528515 2396.71707014373 988.58108717605 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.5353448870696 17.4099625861588 24051.5190979167 25607.13169941 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 12.4539048955932 11.4788153496308 38044.4066305099 36904.1687979069 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.7940144625014 7.84060118891592 35019.0998723315 27250.2005355325 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.42494613597831 4.68407419122497 21282.5660337242 9220.64853058691 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 55.638294491763 90.1158701659207 2531784.65873553 4113109.03584766 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 41.509621750793 36.7731021610384 835171.240570255 1572040.41507416 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 33.4901992509428 15.9752970974105 1284237.7677539 177138.47659177 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.48098414149416 34.9135706814591 40704.9599764407 3937610.07690507 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0407535255406639 0.0232311150112966 0.00453597896356298 0.00349145114286552 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0150166360729245 0.0120593600976668 0.000569748818141666 0.00078650464035631 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0120757614910372 0.0131599076829585 0.000405925192899519 0.000905242725917994 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.013765777425384 0.0168926953168995 0.00052606734029878 0.00171445262242764 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0356978350153897 0.0260355520332743 0.00435212075843807 0.00337366442387366 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0309339517732424 0.0318500738466015 0.00328602953901462 0.00519778944768648 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.037675830266551 0.0426627081164526 0.00520105775055891 0.0109915167087114 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0576938438006474 0.058189401765378 0.0180297001584782 0.022919962915227 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0269616066914635 0.0140805048383077 0.00320995686258062 0.00112242999826753 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00907240355906423 0.00892916836816634 0.000294648600093445 0.000356613234613189 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00893641820045148 0.0172689372531961 0.000334711522710444 0.00123469218541692 NURBSSource NURBSSource 25 254 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0155286753915083 0.0333910480945719 0.00354579801841595 0.00566129684965575 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.172679408830077 0.129771755852213 0.169732169271881 0.120519300263568 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0574552578414576 0.0387090978695655 0.01494941075198 0.00861125487039524 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0304781969866229 0.022693063859302 0.00345946037373079 0.00238620551387612 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0230202849582628 0.0210403153402726 0.00163141685611453 0.00224490554021603 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122636200862625 0.0835379520927037 0.0803356343341992 0.055918468878785 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0537679085656933 0.0421310337520568 0.0130802457723435 0.0092495635455204 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.046561740938897 0.0458641140858001 0.00836120856763041 0.0120943386058267 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.062341208745542 0.059622751676022 0.0201418894816746 0.0236192421753577 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.122985345470674 0.0728433387088209 0.125621542014069 0.0382184285577616 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0312644175429806 0.0197569337649386 0.00445102711826759 0.00168041109734691 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0204420416817948 0.0212584098213885 0.00211633657691203 0.00164800825244656 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227232987059645 0.0355729071010706 0.00424072069388375 0.0061570654088513 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.32210381845027 0.267043281053942 0.711487682503861 0.510485179288475 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106800354476708 0.0755114586772073 0.0582018810724809 0.037513561958465 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.054211813768179 0.0373392337555032 0.0126046241371874 0.00755147101139272 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0362278105121221 0.0284045563223617 0.00476815508341614 0.00417033631875646 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.224369105276599 0.164808458547752 0.314065114820597 0.237235551270741 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0853673659759401 0.0608777532807292 0.0406888186606554 0.0241509278841145 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0607000612846378 0.0530481964915828 0.0168942733650391 0.0162807146874905 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0703711574667815 0.0633587848052611 0.0248986756233044 0.0257393724423913 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.230586823467411 0.153572788153128 0.51354014531413 0.178095250986873 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0581178866731894 0.034418490999328 0.0168989458369466 0.00587327401132475 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0353630848074731 0.0277829309630908 0.0071162957546797 0.00304401443653691 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.032897417854157 0.0397426101650278 0.00682773815999503 0.00759940934397643 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.628612803074495 0.564084666933807 3.13199856758315 2.17518772700717 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.205614178951968 0.157254002796164 0.245078933289884 0.172177174971819 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10227419444339 0.071343235097618 0.0496164249654975 0.0319715557973495 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0642988747866411 0.0462830352090351 0.016499740584978 0.0129687784954356 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.42622417659483 0.345819611559451 1.31288328859302 1.02618314079686 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151972526388277 0.108697186535258 0.159007130452122 0.0966551912950856 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0932285848277194 0.0731565829503106 0.053638152229121 0.0377195671367322 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.08960956573924 0.0742872067394535 0.0426973181551348 0.0359386042193058 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.444284312032839 0.333978655397906 2.24019748564863 0.806548779122874 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.111767797634412 0.0669825615868704 0.0690773730142587 0.0247957860361896 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0658336332026608 0.0440111651952772 0.0269654873854612 0.0116080599558726 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0550762495415096 0.0508341240004709 0.0179848694743254 0.0143221967529618 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.94793723706769 1.85220129041453 46.9280951704076 24.0981221872876 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.612899200127961 0.536218772179761 3.59980442554692 2.50936398615602 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.298798956507324 0.236374591598886 0.699840058712162 0.473550421892837 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.18074349344264 0.139332309406836 0.210014146967136 0.192656537569356 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.26949733229079 1.18965130815294 17.807765938954 17.3348542933871 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.426476986805829 0.358775371229274 1.95035784094889 1.59822652030321 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.24005482535762 0.195639678680099 0.749020193037024 0.727709862372804 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.185659549001029 0.149126464467982 0.349552980596843 0.375503589262512 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.38997148114163 1.16721387244418 51.8870084738973 11.3112140912043 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.338175150959492 0.243966690391794 1.1599873244537 1.03517481341087 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.203591594341 0.132780909984249 0.590396470409842 0.164293961230351 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.158613075339486 0.111471742119153 0.321352893551211 0.101035021876918 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.93715155654435 3.33335594347896 1230.20177814855 107.437754418241 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.17786012237305 1.1232380057308 80.9935185557239 65.912962480696 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.551198772097424 0.620303538736278 13.3901848548428 68.9209101164844 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.33097613494724 0.444496250371016 4.24458661113937 67.4473184304778 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.73164186613933 4.36911759368502 1286.1551873935 14174.5901582222 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.731150046772589 1.47007416976093 9.37866415670282 1313.25485417115 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.416968049955154 0.927485363781672 4.44102904312566 597.327859329357 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.305529281997298 0.664461597926611 1.83703775873853 309.599291642123 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.46994846572215 3.03682383815257 36731.6366726585 2229.64304895632 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.25544444403784 0.582503734984906 1228.88492915827 91.2144316594957 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.36732040873947 0.696449464537168 346951.67364464 876.341405322711 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.345646839243612 0.359610907739829 12.1915518507145 58.658314461451 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.550175773530045 0.44919445274628 3.04381683784781 1.85879441663518 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177321634477849 0.126885472983145 0.230940716406142 0.148295458019002 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0897392196400105 0.0585249632873666 0.0555720769725626 0.0283694024007823 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0566759616706341 0.0399095270241824 0.0171025281556002 0.0107194825138961 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.364204174876292 0.281381850470392 1.09685851274768 0.927069614783784 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.130579126097581 0.0928979929568767 0.106939172421047 0.113840503675447 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0822915596537592 0.0658934081572582 0.0374556549509323 0.0399100401902128 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0828898082861462 0.0702028870331872 0.0340030249017799 0.0349789096552683 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.393777325047653 0.285551966929011 2.50502253624149 1.43371376162707 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0921803170701239 0.0594223703246698 0.0496281279433937 0.0381600442026891 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0544750586481143 0.0389430288597592 0.0203660079465426 0.0133615680095888 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0462657134159271 0.0469544794780861 0.0149979065825658 0.0122867012055478 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.10449444023815 0.980940239364013 15.3642809873078 12.8421856045581 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.367394187823923 0.28718837704046 3.83805252082959 1.85742449776197 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.194484062030296 0.12656676218401 2.47745745030545 0.419038967302469 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.123525418082598 0.0755389267900699 1.54559434857453 0.111603753755456 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.845764248586766 0.610465755066846 59.3809375240584 4.16315940785567 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.280623041515622 0.183205604972782 6.43269069737777 0.504853471231938 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.163549485712573 0.107052383398525 1.89027791307957 0.1453338479285 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.140508779375764 0.0927880504830797 1.46246892477037 0.0767637728013024 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.928366622393823 0.753910088113143 146.054694867367 72.1793877422645 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.178768055043457 0.157429726115905 0.205463361621083 2.80023799355704 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.11152911186994 0.10296658902447 0.204452173783036 1.59490617732257 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0842509606898325 0.094496836635108 0.0525749875476982 2.49028506265746 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.24296827694267 2.44602740610735 64.1464769797954 1074.6179775607 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.69514885517553 0.778918729899169 5.03154958894882 173.315026951662 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.348146734245937 0.368486248986968 1.24389849090898 59.6493277208413 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211560113253969 0.228970584753701 0.40812791715236 31.5989491413105 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.93565428462786 1.33917342958456 1350.27697334728 24.0907065378327 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.528193081006892 0.414866722011133 19.5383651585729 4.27422199816976 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.328663775227115 0.221592077527498 24.7036804439114 1.17947917798149 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.200115011319516 0.160941342593416 0.458760233711165 0.416787476391305 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55204306013425 2.59870036984175 38.629991613263 7620.32334071275 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.364528598610373 0.283493305560912 1.12808442280763 0.764534042056399 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.215762015055828 0.14755791401293 0.574342752595192 0.385443147417351 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.223436968382726 0.121832621985532 15.2730701739988 0.249459789454061 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.56522247221838 6.64290521904825 1189.62560665631 404.406894035071 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.83848793038189 2.18238771544962 549.077454531295 71.9973684496222 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.61275898692825 1.08454913458376 337.803407204247 32.5464856407762 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.11642429855257 0.688341426103574 244.680120220766 23.5151547933015 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.0108452230509 6.68934700930559 75904.3784126348 4080.24983429869 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.30482009069356 2.3211845934454 1109.4930172015 555.132433681243 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.92803203781059 2.98602395314831 66095.6376435695 14152.975023311 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.65765533187961 1.8808407684082 13952.5773120831 5491.22007862046 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 241.896554451788 15.1178262798761 150524234.27383 115448.081916904 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.83647638070971 23.9412782718935 330.535925810038 1544713.78457506 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.71522127502449 15.6215976128427 11533.0280699329 846164.891146275 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.963565844126702 5.41977380342591 260.739880684114 48228.7502937359 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.1024405873392 12.1779256993549 2244.53451603561 3024.11970916379 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.44405092817897 4.9896680443271 580.542611516412 1641.43243377557 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.64956673642395 3.03595244815344 537.637080138447 1153.73819104241 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.88147295900339 2.27377374288707 401.579940588348 870.779562993173 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.8828076525317 14.5614669028819 25246.0996947693 17751.8046228543 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.28020996177166 6.24890457657283 4307.6421775862 6671.35890156704 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.49503667822133 3.85087939427607 26349.5808747084 2791.70748397652 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.65797674484746 2.52740622212058 29043.4484976888 1158.51210049306 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 36.9912771289323 22.5374495957467 533867.65939973 118728.294165163 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.5397323289172 7.62432555210336 29288.0551056169 17105.1179155799 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.82398738094527 17.9716874429623 15193.2545656239 610855.675180212 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.43559228737412 7.2325489125359 32230.2750785198 33122.6014522105 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0633597582529801 0.0231829743965929 0.00848728858152078 0.00300102198711743 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0209564224167751 0.0100469440230153 0.000895997908786679 0.000435259687333063 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0149044055644984 0.00921167463427604 0.000471816178493261 0.000327039262720044 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0150960725564346 0.0109843217869527 0.000537111130298162 0.000494719755420096 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0491030201650449 0.0189232496063826 0.00712138098993083 0.00125574904732081 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.036273113838511 0.0203779400085308 0.00383722726899269 0.00129616882244034 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0424537768462851 0.0260743065379049 0.00494994425642573 0.00219676720080639 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0534775082965561 0.0362930584440538 0.00845657552294908 0.00507233355856174 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0406157499589033 0.0126493911965835 0.00598830642070959 0.000801787901784347 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0129281530975297 0.00506901311329553 0.000537802619231357 9.09199945034018E-05 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0106531601224233 0.00706892338243911 0.000337512841695325 0.000163705161425065 NURBSSource NURBSSource 25 255 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0152195688502186 0.012340241318512 0.00078834875832566 0.000518139173435429 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.225871173643254 0.114411264952426 0.262302916184739 0.12735974680101 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0747584400385555 0.0334312647180483 0.0253347919082841 0.00904705547153343 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0390644173288509 0.0179719188839477 0.00832311182487641 0.00154162369630836 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0277745715400957 0.0150845596127756 0.00515012494497745 0.000965328499796173 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.161496180230291 0.066635496225158 0.166019059167115 0.0320635273002442 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0658846342456098 0.0293366990897593 0.0201225232879937 0.00371493298826638 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0540116766257871 0.029165468150887 0.0122335219139564 0.00303570485596876 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0585836942848395 0.0380045943673951 0.0132178493255056 0.00564943803916522 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.15429709703787 0.069662985259654 0.173643106289819 0.0911095695367533 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0421216227667435 0.0153234950721208 0.00859452233498228 0.00147754932785803 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0246563909496666 0.0108518284735736 0.00321417061313759 0.000475744587236704 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.023053488968895 0.0153033969345529 0.0020547165713496 0.00100365700873986 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.410800257512348 0.242637756356732 1.05946677231114 0.604309170030981 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139647725620608 0.0653727596431175 0.0988310328339195 0.0439226570081541 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0707090569636815 0.0314675963797439 0.0310824450087615 0.00656978938537141 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.046230677552287 0.0217417948725637 0.0186618782705185 0.00228024655498333 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.293429246457895 0.139549819601726 0.639288897096655 0.158514264150685 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107555313185337 0.0460475053735366 0.064514838357683 0.0139489265305791 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0739007920889085 0.0354425337511269 0.0329242381907238 0.00534462065013622 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0687160433960378 0.041079508426016 0.0261370027340679 0.00695122819170805 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.282761953841087 0.153766332638077 0.669632764577791 0.423072491535268 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0785064572387467 0.0297981988557782 0.0313738209158629 0.00694136648167221 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0433753171813522 0.0167716702714043 0.0112256067270582 0.00131568181121317 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0345704471199834 0.0198228775151242 0.00552166237629453 0.00227618890301321 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.775954136874967 0.538841404015634 4.39037213567303 2.92874462881021 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.268077016313564 0.139532698515686 0.399885703539958 0.242891373549741 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.135896039053544 0.0616667022139337 0.126380940543123 0.0365271827947508 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0856937920161989 0.0381031882096992 0.0754133294904488 0.0101556648580031 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.548443360620139 0.313003515590361 2.68379541115809 0.777173107776259 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.19415552187809 0.0890898682637239 0.244943078761828 0.0751702451583358 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118039147358709 0.0533065623958559 0.115713942653181 0.0194999093826583 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0931988504737416 0.0503518734261403 0.0760672461920375 0.0131279601910506 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.531367720897512 0.353494935821621 2.77429320272569 1.88970518983647 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.149493614638967 0.0634326863178125 0.118838586099816 0.0352895625348743 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0812397466749803 0.0319279242666909 0.0413428013564321 0.00668540021970921 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0602077202243594 0.0298069643539748 0.0203831421702269 0.00654830384684366 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.10991707998524 1.91791992035154 109501.603256302 40.5766270630903 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.32298804889647 0.529696172851589 1521.02121459581 11.2100480824137 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.400633339472692 0.306252948974351 1.59812714259598 32.5405412816411 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.254207586157675 0.27617846138864 1.03416679968478 96.0538084546493 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.62173086116928 2.99320194593754 67.6146992867135 15354.9299249961 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.549739291532969 0.741258136788315 4.69208440143301 746.991544661009 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.31439249059249 0.402351094942336 1.6247529876325 245.299669310736 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.209111277634058 0.266089762427552 0.828485142507724 95.7529378379061 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.98736909106153 1.54591822669632 5440.87275630614 84.7870347470147 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.425358302827113 0.759184991325071 1.25082271188038 1248.753172685 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.246654995948097 0.682195732258742 0.84719720008339 1491.74567062653 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.186973485545632 0.446500499233167 0.859792593225484 622.498817578633 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.62491259482086 3.67015659181511 967.344254009987 295.440226793356 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.43138799820214 1.34545826980563 78.7607073644575 462.378202897798 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.766577906366015 0.781628922943834 29.7865919106309 343.836900257051 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.476668992345203 0.57847597470261 10.2519807403714 249.35639964693 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.78397226922819 3.8719352791285 11145.0527953772 7258.40279102105 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.09120217467058 1.27483888182028 81.3678247033901 950.203275310305 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.664660831453186 0.874506444580457 52.4702038069638 492.873282430187 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.360306851561275 0.711415593644322 4.54313053121447 353.504188882823 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.24992509892764 4.8837439904916 1867.28853930425 10619.9842202534 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.79908863448519 0.581910020322205 1180.0280834784 23.7365127315032 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.80191324193032 1.04308429903387 3798.58884950244 2857.81574706089 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.369163897094 2.82082015306977 1214.00090377341 32327.4314166311 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.717736024968303 0.597597040699639 8.42238812636066 30.2523207227195 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.2493937264241 0.174035513737644 1.60302738096623 6.3519566118052 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.121016279746633 0.0863951661343636 0.261856384891296 2.89852256529242 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0709351586431184 0.0572406769284202 0.0274324354919623 1.68203593820923 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.541554987354409 0.389900217736832 36.6011977346093 42.7484630203033 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.211212599285784 0.101799550315474 7.45465063905672 1.80254673245082 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.123145760658781 0.0596740877699616 2.06460141301314 0.423327156501372 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0898233647146648 0.0582733948733645 0.130004658874739 0.49003057599455 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.497827389687858 0.506694909539186 3.36621536526194 104.771284714416 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.16072476947465 0.0619768116134737 1.78035236963577 0.106434684129788 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0873929154803646 0.0328443190974479 0.65173001891253 0.028429304183848 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0810850126738699 0.032750663831142 1.37587077027716 0.0373905401942076 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.38114537796152 1.22191775168674 33.6255426786842 58.5175777724504 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.468103821867848 0.349638725009458 4.075867411186 11.5859850894263 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232587247554686 0.152462346259299 0.896785829244261 3.12174034739829 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142800364445932 0.0865649832853801 0.36968408942289 1.00548970717806 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.908586139801452 0.743890528165867 15.0364572608842 28.5991286201414 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.341165849272741 0.187709836624818 2.86063019888779 1.0323562870763 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.193795842273682 0.0982027380318411 1.03974168147059 0.252135909436429 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.140902575041719 0.0740268548432024 0.497748952784464 0.0956976957377898 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.949539400225025 0.834439277872153 14.0464490858396 61.3167766498883 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.263578641361151 0.14532137978159 0.784694000939857 0.537940744900964 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.141900924841666 0.082985046760385 0.136021812977179 0.660935724135589 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.107863540017952 0.0740860293867504 0.0883766717760279 0.563901367496489 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.99021585272218 3.05346670122885 645.499422719346 665.84242591443 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.941614183417706 0.981795582797401 42.5947516181427 130.111537205851 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.504829288426236 0.460200011891887 31.0496912044327 44.2338846957023 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.34211969629416 0.282474350612943 31.6278112780156 27.1234876454129 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.97101991819528 6.7830766716355 21206.8191494946 111905.709562716 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.695984340156 1.35063468504252 43250.6170428642 3257.34062884536 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.834518236324082 0.65222899901195 1090.58072314332 710.386697781659 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.297800808194122 0.251524821242617 16.6436665947662 40.2426757176572 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 143.406067549234 41.3947142198109 94081482.2417075 7088173.18784704 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.15380779601854 9.27550514288277 60917.488690304 376236.826875278 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.397578411986823 4.04420473268728 22.4404799260502 34725.3030707598 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.244721514771193 5.41585812747383 1.0386724690853 92686.5946603785 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.31557283750786 9.70182494468148 4021.89041419878 2809.60950437979 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.56750073339768 4.07922186075248 802.933586996998 1831.26725344851 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.02659758476119 2.68636122649705 321.607027761859 2058.31858185492 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.42862549318731 1.9469560805573 220.299018408507 1324.1345934832 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.4863551952638 12.3547546001745 154150.03623833 33497.486692458 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.63259614471536 9.14663614240682 32303.6233946461 68924.116454887 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.90648676358748 7.44895652206144 662.558718293645 41120.327680066 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.16948338907624 5.60966406974987 212.428566198342 27819.6933093992 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 26.992606378192 37.0977402918002 405005.320921165 1304562.63435466 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.0063381018211 10.020922818128 76065.8563984644 77880.392938188 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.53957412773445 8.9096833802686 18630.3825834399 186495.663090614 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.40861079286701 6.8400500361976 81511.6129819434 60558.2994859719 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.7491598279029 13.9876841464761 2947.28709695348 5714.08192860333 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.66538087610765 5.77523589376275 1241.35392803435 1907.41300775086 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.28638567690502 3.60341340210292 610.011029496368 1282.73822955928 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.28399814436763 2.70610687065579 400.254494191045 1069.95886785754 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 23.6710403625158 18.2285534959634 136345.63388899 30128.5883810288 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 13.9463534143212 10.7041534191436 72272.6626662881 25508.688407677 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.23414230247826 7.56936893012615 9981.21286820261 23423.1113005351 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.79318392419972 6.27413942576083 3907.69716591157 24520.1539991156 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 46.9752008644659 34.8434686336493 604307.826708994 300475.35570458 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 60.381025435761 18.8200702349649 8011781.38950836 111107.294399581 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.5434199416145 11.5542846795958 61359.1288382831 70614.3074015536 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.58896353679019 16.324788952814 2113.10764682934 165438.651239914 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0563839259921939 0.0432324526068484 0.00794709935313769 0.0108677046655261 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0197177125970774 0.0156784268421596 0.000767566924841732 0.00116914479259692 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0154762851028553 0.0127320662140471 0.000413332056497191 0.000740804005760818 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.018114523263028 0.0151430315900044 0.00055826585012458 0.00119811741433481 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0462048934209079 0.0332296040308583 0.00681266481926684 0.00389414045547599 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0318390449367899 0.0246797540324117 0.00268865773204202 0.00213364860562948 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0380224612190566 0.0307007879630809 0.00391143668575535 0.00431848881816958 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0566383609029281 0.0475240337812951 0.00932311619607142 0.0140794334472252 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0407357661137125 0.0296336154814157 0.00662681858320555 0.00426501357668123 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0124820417650135 0.00947822689231962 0.000452213382018463 0.000335820060322453 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0107595524810454 0.00860393744096154 0.000540066758426626 0.0002758678081265 NURBSSource NURBSSource 25 256 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0170154652218929 0.0143931940437754 0.000771060447626655 0.00134199276773728 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.228811429582817 0.187971738360388 0.478052294847872 0.273741336669336 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0703999091429215 0.0569830769626648 0.0273877043035121 0.0214017302245065 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0361390291933505 0.029648267954939 0.00535402708965678 0.00530124733785092 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0274953093158227 0.022692444342991 0.00217583634521269 0.00292701384778041 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.155400931548004 0.121947505916313 0.25697223195896 0.140403983896352 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0594375767581136 0.0464019958059101 0.0245507186381727 0.013163109498961 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0488016793132149 0.0380142162050516 0.0111964980704756 0.00693966196644173 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.061151879425684 0.05064813435108 0.0119318579541769 0.0155661397411607 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152833471104631 0.126530570006326 0.202264503260996 0.243574382858801 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0377553488360196 0.0312071155178773 0.00847231008388541 0.00943704246567872 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0229166303451897 0.018802752375754 0.00293942202118819 0.00417526516493967 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0239448263242486 0.0201016478846187 0.00198538982332354 0.00509444380256656 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.433358064821213 0.371719670956556 2.06667624287629 1.137088262936 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133541135839162 0.109917308753267 0.112130043915665 0.0870271561773012 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0648430130944617 0.0538061804984993 0.0204073904025577 0.0197384571437312 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0429462464800922 0.0354585825581587 0.00686334257050685 0.00809897608114542 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.290911506535605 0.236516292072882 1.07009899571861 0.588232108892745 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0995828742131986 0.0799698571989291 0.0957283047425344 0.055715068010948 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0661715595858881 0.0524796886572035 0.0324374103822759 0.0176174276036788 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0695059629444366 0.0579578704555723 0.0195649738897588 0.0216177686046163 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.290054108366025 0.252770939134587 0.81876168301913 0.986081567117075 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0699829751447729 0.0595649367787689 0.0314183304918116 0.0449789133833322 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0388347726363434 0.0326322351219074 0.00916701209566637 0.0174702578948989 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0356009802380244 0.0304197516717907 0.00697487305003125 0.0206373700729156 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.857732912348283 0.761690287339567 9.67146644540495 5.0676511919957 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.262574671087898 0.222577577667618 0.489440553281442 0.435418469812119 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.125781398346934 0.106462988644763 0.0905241050242605 0.101003948656039 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0778060699453564 0.0652540993461715 0.026853619256014 0.0331695991724864 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.572896653966982 0.479482566122378 5.2311165943555 2.47578632680973 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.188274579014293 0.154049954359047 0.497591621066558 0.24761456700614 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.108029528870392 0.0879195226617969 0.158784624621471 0.0712262105675122 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0914924993544954 0.0774451721032998 0.0525862643801178 0.0503791135800775 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.573559092556165 0.526313102084606 3.40025870809613 4.13811188320685 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13639843218799 0.121021093185819 0.134775363342782 0.250440720356999 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0728803624141875 0.0651391162171432 0.0337409047066362 0.0931507917194953 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0630254198064907 0.0544045796038063 0.0312357474110682 0.0831253787684974 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.70180097439706 2.52046473770505 125.009451725623 71.481179027294 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.831029254806831 0.747571631755919 10.1559861612087 10.1821721959724 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.404272990951169 0.358217175281767 3.8698175060046 3.89129705362737 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.247615335464227 0.215654109373114 1.87310372679111 1.76434659781437 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.01494779520989 1.6405815208864 351.823829735213 64.7214550403617 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.660079638812437 0.510602073553926 46.692731279254 6.10510040241586 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.355291353842158 0.272357444051395 15.727939027325 1.93663252071474 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.223528282229936 0.197216367839354 1.46869757053279 1.17663364365861 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.82960291217673 1.92493384421959 44.1262078393377 131.784210283641 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.447370507466281 0.456559113011409 2.62117000480215 18.0707724812534 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.244091525252972 0.260004116442206 0.891788776786737 5.55367986062588 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.199314457556631 0.176176396145149 1.15562194443031 1.01775621722152 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.97946614193919 5.0766501168171 1216.47619904014 2777.13860994662 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.61252405807491 2.52592120320623 140.450419400925 6855.94142465491 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.890292054674443 1.49411390513719 116.904585353683 3427.57512631733 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.599262349783598 0.784589640531676 82.252747537123 681.867398758326 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.78928730826914 4.63302132534072 15545.0441908955 11297.8754657818 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.12465915802228 2.19402747594574 2376.71504413977 7408.85190495474 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.09450581378257 1.13094278904872 688.611831301846 1977.36448107551 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.461797334003791 0.386970959033621 59.0607366092434 11.1142951329406 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.19397691385342 4.11246607331358 14662.0499867792 2197.51926814139 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.99538270678866 1.37169510016203 168745.672605885 1011.24993669059 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.00317848955183 2.44777856057196 491.079399781493 8356.72002619041 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.585129883193989 0.346517085050641 98.221074328768 6.87093128543545 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.71318258033607 0.673447100453641 5.20595401150529 5.29966360263608 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.218709910899062 0.191053068581823 0.319196113160911 0.298123328632281 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.105215217700864 0.0888891514435599 0.0619892261230897 0.0492550588504401 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0676631937357304 0.0559971576772519 0.0222506922193689 0.0184152565144029 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.506767345436131 0.409697917993805 3.21325744003382 2.27636637340588 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.16563125919015 0.12863516324728 0.253522276684406 0.20014037286102 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.096656623007074 0.0750898969165606 0.0736239908286289 0.0567889225871822 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0873084977174432 0.0695597765158316 0.0397828871654921 0.0308348399229124 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.519809616732472 0.47637698704505 4.09374220173707 3.77311159981376 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.115771188407685 0.100682429581099 0.118944193368001 0.1315099278814 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0645828398282129 0.0517294639203474 0.0312456049426506 0.019766127807663 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0554495124880298 0.0491505650548622 0.0290225073259836 0.0290151263460439 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.53250766785394 1.47955518615608 95.9603987376012 74.6598898901847 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.456936570917294 0.400376798349346 4.12723364465044 2.0524967499496 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.215143470441964 0.18573699378272 0.535772135137612 0.604074242978705 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130934837237651 0.110333917766797 0.120795987761706 0.132341738841352 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.09187526485697 1.02076349578131 65.7024814149391 204.677963428882 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.323594662763956 0.308998306317995 1.11119356663042 16.7947674083001 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.177090541392816 0.173058593161303 0.3295319736306 5.51522541887647 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.134600704493296 0.124739262189602 0.148685028858439 1.69863521884921 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.13976013993088 1.05450176536946 43.1005092271144 23.9780276764857 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.289929574168805 0.227309129959467 12.2455384425252 2.06282944954465 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.151044021945286 0.108670715828208 1.56166711441977 0.152105640895839 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.128034389233962 0.0940869379854479 1.47601178006527 0.11555362204934 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.29530909109194 2.99719204628716 796.869813940735 144.704100791501 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.0489087020171 0.84268382729826 158.663471311012 7.74955460002499 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.521895293640685 0.375313784352259 51.0859021951826 1.05320693561465 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.327880029651782 0.219789204347125 21.7624212087521 0.294820846270585 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.39607104397519 1.90336574905207 637.090727693027 140.898963458559 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.699716838414067 0.591233078714755 11.8446159792581 19.0116017480964 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.375862655352029 0.301569971565602 2.89403641626836 4.8249299830778 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.278218941591014 0.198008437583773 4.16727515263972 0.749041337054866 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.26154031906867 2.3273368353081 153.769949227522 127.445318039496 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.518086347658044 0.457478228786796 6.4953258168447 2.89176310042584 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.292791321794158 0.261223348442876 5.23502312631373 4.13640700448137 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.210439399472396 0.242625613818185 0.439687096031281 8.02269955871473 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.9583346021884 10.6970693675453 12079.7007053751 1925.55176954236 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.6014484399794 4.42183966796605 3227.91790649895 1873.91509937624 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.89668459939405 2.90455338923889 1931.51416201119 2566.14781707361 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.09344337148146 2.22274812981262 1039.42288551108 2324.38166539719 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 46.5451971482611 19.9093424253233 2118010.27810659 152164.31194629 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.7662175702598 12.7633926234946 49571.2073030117 122063.673711225 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.24916187260569 4.93193514230217 23698.2978580219 18166.846053669 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.10705487825197 2.39934964867966 8094.34140279296 3774.96904802536 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 37.2562319762621 346.995233834721 948732.862877767 231156429.458253 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 50.5574106784961 20.5885609375382 2169600.93317619 303974.824450121 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 157.555711996072 13.3465863149047 71874304.5834208 324354.112613978 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 20.2106460449254 8.58791350159231 359645.784264878 127466.464505528 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.3062518518728 18.1964489323619 3780.16347215361 6626.56156404816 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.32552105220931 6.7920835138517 1503.68859673701 1626.59188628374 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.89615596449136 3.97587769186545 1144.95887260582 889.09543860157 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.91085785920051 2.76603960673236 935.252133758184 555.493473689339 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 23.8369586181553 18.6166405954058 41197.0855047478 23012.6607381577 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.2729532850725 8.95347351861152 16172.7783431177 33904.3077110953 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.79054392798646 6.86713508371884 12119.9675802545 48784.9834418293 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.0556362109585 3.69683819675959 3250.6620871217 6541.96261611287 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 58.2923811415143 53.721897450823 3130689.20653843 1144581.09971201 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.5876786351666 12.3630287019656 438949.778784966 67020.8248004164 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 18.1317266526153 8.99935382523455 480956.678620721 66285.5000961217 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.6983619663071 4.06741889961694 95334.475609462 5528.79141615298 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0240266194887689 0.109457411638004 0.00168442553924375 0.0706408471862245 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00846130475440804 0.0364339393060328 0.000161632654941113 0.00684169499101664 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00645261183036574 0.0260913252288857 8.47267624854387E-05 0.00319946518801134 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00754227803371047 0.0270732929665941 0.000196832160411753 0.00386635631219464 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0132395096685052 0.0814197484662688 0.000689329107269042 0.0265386207956078 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0109612164099041 0.0564425209847458 0.000374917629264585 0.0131018951915484 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0138179798550633 0.0685585599902907 0.000749553703040811 0.0226249113897548 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0215827042333072 0.100347692426936 0.0050908855382734 0.0514636337597826 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.012489449582573 0.0695195192408213 0.00185647321527444 0.0447921649508356 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00424317575267821 0.0219720745700417 4.14210439222267E-05 0.00166523229315138 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00715731210652804 0.0206514580752301 0.00134712587237632 0.00150194631837877 NURBSSource NURBSSource 25 257 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0254785507493546 0.0342238684046114 0.0617355590007662 0.00746076469950198 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.164936342057029 0.35675605396047 0.867246762740045 1.06105569431377 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0387238980329768 0.122911959302383 0.0378788057683709 0.115029188873749 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.017450569116169 0.0662440010390243 0.00412235851222219 0.0291345016162536 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0124059111601807 0.0481746248169006 0.000845969272228605 0.0137487136664117 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0876747434500497 0.262234978869763 0.379050063867072 0.595083493562487 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0248864081423434 0.110959724029389 0.0143912967031087 0.103591594052127 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0185264863469503 0.0916559900997101 0.00255297935795025 0.048467908004888 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0238212359186813 0.11294036885207 0.0056529769331114 0.0670666943457574 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106873448926532 0.257323595442712 0.947076963473298 0.904800396568307 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0146825228812089 0.0691939381539761 0.00277901927558187 0.0338201003405882 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0113343440099269 0.0457236385009699 0.00189559363900913 0.0138592404961234 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0276001578565112 0.050143185084297 0.0617974087196609 0.0152485689965953 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.367651257984426 0.635325343473696 4.15874580471921 4.07724901166292 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0845301224631925 0.22283898912985 0.22578730228565 0.409352064360295 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0349682340740888 0.115142168317364 0.0324958250518392 0.0886127938665179 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0208005950012879 0.0762000618394747 0.00560984977354171 0.0341515341910916 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.200847555266058 0.467641556931264 1.95107430439074 2.26296005328895 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0529413247824283 0.177483686263427 0.139725507352197 0.282757217766297 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0295483870177048 0.123443324811506 0.0210562885499659 0.10219135766088 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0299269500747114 0.130872055749542 0.0120877881168026 0.0955518736511231 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.241285431855521 0.468724384463289 4.0764724282411 3.61047456447075 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0312238337877892 0.126809224994575 0.0223365268245184 0.118488609665307 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0180197600076661 0.0770288250729492 0.00488899577029554 0.0412878639472915 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0314531805823345 0.071500535992539 0.0630694310578437 0.0340524481121467 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12996805667613 1.60646188555903 371.691435941077 748.734843773111 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.443609144224143 0.440003099385723 212.116899953411 2.53666948289837 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309730559102652 0.219856260617616 130.236260855682 0.375243740545996 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.228951979406241 0.137507249319113 79.9728977839051 0.120939682552253 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.839185323558656 0.953978491489383 613.736024048109 39.8040881903294 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.464041414774998 0.315630698684884 272.136138803998 1.00164111172005 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.282965179502551 0.191662140176054 109.176964305062 0.28583309023296 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.213766158888515 0.170535741948701 59.9780452290298 0.180919492009456 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.22208161633857 1.42759438624854 2036.7376868536 1116.2232752636 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.451755644488483 0.467881132194241 619.165802575996 175.630263957029 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0991958107245084 0.313164748625513 19.0408295951988 121.754421075276 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.124501076824335 0.144578076264702 24.1019592268113 1.40272442543061 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.08868877506305 3.633002987878 341.547916242195 325.95699527015 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03400903044298 1.33230354985094 168.447126951686 54.9805996741244 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.690331673089027 0.708469394091653 245.214991599398 26.2361813215479 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.550495595758751 0.444843435663149 228.049340504007 14.0369523217606 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.04200631087485 2.53504106477484 27036.2956299227 174.058005167372 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.02593007772107 0.835261370256101 3058.14306570722 9.53427804118216 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.08089559187843 0.451076372884372 733.588800169963 1.85546832002872 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.610135147453404 0.323787688282481 190.78259273407 0.610916546875859 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.94261043586299 6.94614385106459 4026.46748088041 44466.5712357093 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.28341670734382 1.5355387880351 7189.83716514288 1079.27664368036 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.8922033750281 0.542988196860765 3959.32592611551 27.0016238788073 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.897932566978923 0.368452300989559 770.328425777185 4.4217958850284 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.08268692568647 6.54050664594741 423.791178087576 1330.09082429378 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.40976936544933 2.29921519138404 3205.41202500768 213.86393487288 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.62652699837888 1.22737977625932 3210.80924449934 97.9454130186334 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.09398535184253 0.800178450362253 1470.72420644056 57.2881136871254 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.83146295890213 4.67057038718761 58649.9520870502 894.259742184315 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.6939595903497 1.50791723098392 4834.05290440124 59.9632742074664 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.46065194642346 0.848691467723749 1182.38173733408 25.5572092922744 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.02716226357729 0.60178602708124 638.505638922211 15.8751081542123 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.26533452043966 5.89836210307416 5668.28612708939 3897.21654002284 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.75983693069258 2.37537897808646 32135.2613875984 1431.32813347283 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.94115567388858 1.48706478965889 7788.98587445619 1125.5473138124 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.49930878289697 1.13611814357689 3345.54121957435 570.747802617654 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.644977516676249 1.01116377210296 14.4120594830844 24.0674016961305 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.152211286631437 0.359680718244144 1.13404538314374 2.9314465146029 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0646848723332976 0.179715292125276 0.255591045736863 0.448147923539282 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0364083879806161 0.115781443695053 0.07810936304704 0.13805422200194 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.347903081406899 0.730688727513356 5.68735427392304 9.16559102095979 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103307161233741 0.270367711185563 0.701296497978524 2.06800966551332 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0564694828161051 0.163808301791442 0.214039294529691 0.344383025629115 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.04816140245861 0.158489856974415 0.12158923644997 0.279156276156699 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.395733400602598 0.729627106908097 8.26603693565163 7.91395203522109 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0629855108227835 0.211173146352221 0.224487570522501 0.883999967561277 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0314545873986535 0.125032046195925 0.0448938400195945 0.285421284126517 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0457265028100605 0.10122959890749 0.176037911471746 0.105101584215808 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.39546796033932 1.96252885147065 44.2501412220798 171.260030468842 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.334693717612989 0.722779711341784 2.80531972953666 32.0040788524719 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136232746103238 0.355483154714416 0.478077438699341 4.56975802468389 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0771119702876602 0.220128062211302 0.197372247463697 1.12757109153566 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.809871608736084 1.35233994147853 20.5702445219016 47.8583556717976 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.27159348045813 0.446337754356517 6.65856880365498 1.5138868412215 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.152588292221479 0.254361924561092 3.21745220079842 0.396647745116438 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.113122290923223 0.212740545575618 1.9168607391628 0.28395534152305 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.896372064146727 1.41002230515629 28.925011932951 42.8592679878722 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.143326704770104 0.445769045862274 1.00557429864836 11.9361621937112 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0660570597039242 0.236462523807005 0.121085177270854 1.5671334685323 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0628662580733941 0.192628313422172 0.132870060222563 1.18508806088432 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.24745952267151 4.21152529887395 376.295979173067 1676.87402466226 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.02280896088781 1.62487690072312 151.485949909772 348.375847823874 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.59452092783574 0.886876905326449 156.669642040956 161.882292937032 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.437515774604987 0.584525270307478 134.554369678938 93.9926525841426 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.86987684882778 4.39188322293653 7640.86569379328 16630.1915139341 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.70113042668152 2.15587448437477 1785.85255460192 8257.83842931112 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.03925262605037 0.557308657883653 652.577012212593 56.9194353003905 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.687393086673516 0.363025265392822 279.076592845442 3.56390644997604 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.57540498957575 6.2330405732508 490.397487419998 21418.858635402 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.28727949964399 2.63023118479987 6346.44219625864 10501.3496413665 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.04920070949159 1.28613909422709 1676.2189890521 1196.62511550218 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.648113810003666 0.6258254012435 815.007499796739 73.362883142531 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.8223577384708 10.7175336949749 2578.75831777988 1913.56338054824 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.59542891330607 3.82895915200401 414.127932873846 428.891356213821 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.91309507179188 2.07505345513374 190.1111016916 215.194841542315 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.34399069520349 1.39921002449964 150.135579497892 149.419819702314 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.0338590420362 11.4148704619034 17183.1385423922 18637.5303274854 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.72852220331456 6.11559177485429 4336.31746081619 52548.4526107178 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.57317461793945 2.97500408122369 3769.47166395129 11809.696740255 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.28322747666269 1.77326378707127 1428.93597637634 2765.82457053471 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.9502259963577 31.5273572624125 13515.0753872009 536035.033386707 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.89463396289072 5.82299015825319 14083.3163527847 9026.84485556242 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.1513950915021 5.05961212188645 326776.389371468 29814.7782980097 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.44235681609396 4.13570143308705 28406.1783844077 9928.71949587407 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.4041475242554 17.0656022096022 13728.0653645769 3547.68668554305 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.80835361495371 6.28261080730757 5373.01937409777 838.245599523887 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.76762360392937 3.5772994044333 2432.06354903502 476.869799238841 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.61769916040571 2.68397424838007 1871.33493308263 669.512748387193 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.820988276838 20.4776283622468 36043.2449855277 29882.1568610916 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.2403180643852 11.3271974637313 13430.884981102 29588.1392141329 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 10.9510383772329 5.41606890963009 22840.0068130609 8963.28329114883 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.3001702706568 3.4976363742263 8343.17321791149 3415.67657474812 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 65.0634970582624 413.376005780623 1288918.35583115 485404792.276793 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 20.2963632078597 26.0389469331287 227200.17830953 203239.817369131 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 16.7349448652291 12.4216171987232 172119.647746419 36659.1877760621 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 26.2073693094864 25.7883695800907 1160785.7250878 1161506.83271667 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.033176569608399 0.188631095514557 0.00393322259304801 0.255715850346445 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0111096541957886 0.0579668072678644 0.000400856305056132 0.0238556931268277 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00770242185912284 0.0341695780627005 0.000230246454054693 0.00716620914875207 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00870499119092213 0.031146317705299 0.0004802180246086 0.00561125326083997 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0155948290549253 0.118204802806687 0.00127218699795334 0.0684870318828857 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0115159783105654 0.0642612996435355 0.000593437043055279 0.0211839134859454 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0144083736826715 0.0700271202446121 0.000951217530964774 0.0269879668142412 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0213704127073077 0.104205605083588 0.00295059437687103 0.0623916484882456 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0158996081092514 0.105482146987248 0.00201090930223294 0.0578503197890221 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0050689314211964 0.0331457071643826 0.000143874067199779 0.00472100094467896 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00590979614658637 0.0250073070116159 0.000226526699117647 0.00254489064366957 NURBSSource NURBSSource 25 258 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0117974258143196 0.0329552142345097 0.00265061825154696 0.00464366538288469 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.20560989754759 0.505571070435678 0.835143993807908 1.98731075226513 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0472690707210235 0.168674502396014 0.0277719669261185 0.185440247840221 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0216149468449179 0.0878242374792795 0.00438179129065618 0.050323561784914 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0154279046702794 0.0601790084515569 0.00196208468594863 0.0215296074681445 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.10381861259946 0.354428823999862 0.244568110743429 0.86052094957382 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.035122369619744 0.134803355290414 0.0493244327178758 0.12974929745088 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0234970702715883 0.10058218963371 0.0116456619106045 0.0649669466520267 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0252178277876737 0.12039692862573 0.005835213856422 0.0856603234958344 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.115908556296282 0.373740095145476 0.384889102851486 1.37253158802645 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0228873728024467 0.096566053419007 0.0145499594572459 0.0672231817701196 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127142226916363 0.0561284940245215 0.00173835702375481 0.019007489715513 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0164348477035246 0.0548269875036677 0.00396702525364575 0.0151125754912672 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.456795821788779 0.8658799297298 4.11491059427884 6.82858305831781 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.104644136500124 0.295066804966326 0.184206438888964 0.593961649136596 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0433672764661026 0.152814870286741 0.027475309555282 0.157944209349429 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0265580163710508 0.0993391829286243 0.00839553644864654 0.0620367330726607 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.241451010404188 0.617432991368298 1.33905997301942 2.98313909031121 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0745451970725529 0.222581431101161 0.250800444734536 0.39549967045719 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0407550604280508 0.143913906171618 0.059825286099972 0.149161855708929 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0352335889539917 0.144901475136129 0.0216658803268444 0.133297258489236 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.271239622229809 0.680300754463037 2.00404509654427 5.06865784623622 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0506776952943922 0.174597963404092 0.0951329476475347 0.246926320037981 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0238278056104597 0.0969509224975007 0.0105158995386538 0.0602989293070361 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0253074461183384 0.0849723043547596 0.0114739305831518 0.0394028533131264 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.05112358101149 1.59861735028436 20.9380919711058 28.3886041121726 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.243280774569798 0.550854666249004 1.20580078612937 2.27509984002623 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0988853334750535 0.285032165380708 0.214460281874301 0.576981811115668 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0557174943109645 0.180087067797744 0.0653383984609574 0.20844819534329 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.581743348021331 1.13827438047951 7.88544925601575 12.0061563314495 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.17648948806699 0.39967597172358 1.42320568141023 1.4362859360836 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0876939399049858 0.235583648295129 0.348293172503192 0.450771412282594 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0649084626163561 0.201863184742886 0.128329580444683 0.280925326230468 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.653462915752246 1.29240155489422 10.9537241235705 21.3356749497819 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.118340780710184 0.33947981069931 0.661265552319472 1.1473762775156 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0507526073265805 0.183965275199124 0.0687318260736479 0.227862575511519 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0485762183675594 0.151881786654584 0.062089147045223 0.136416813407557 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.54405191763409 5.12255808048719 3098.82958118813 1257.28717912547 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.8301443051685 1.92480609925121 710.564615520315 386.524954614956 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.92365348854992 1.10968243621083 272.109458997599 147.163250635152 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.651280291470248 0.730856624372335 186.066525170071 85.8756718033692 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 53.5129564565967 4.12023223988646 5199338.79789339 1018.30713479782 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 17.3332524994091 1.56212148707887 505786.413554547 349.218143360573 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.88788805379327 0.868524451351898 60879.8400174282 83.8392640690203 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.51580858178721 0.520209882725913 15558.4347946871 16.8810787852615 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 142.040451935634 13.5958249106446 48474226.1039141 248097.063555825 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 123.880603863203 6.46658326265615 53753622.9953724 90698.7850779139 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.62606611851773 33.7392120938628 196705.347181626 2847552.03920472 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.57677051437515 7.94874635805707 10103.3595306238 229728.794168426 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.6594230957389 10.429950815605 34733.889775397 28329.8935575272 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.54525846114607 3.78976039191299 2087.76736891239 4450.82429918079 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.0468780547233 2.10785551093341 5174.98801111956 1356.86232432217 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.29266244182129 1.39450697235298 3368.34355554102 627.261253473724 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.17547981272599 19.9673850166891 21915.0844224192 176929.298954039 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.20270280567294 12.2921909907828 38810.3985764981 208994.481573802 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.54610439862767 6.4598014152641 9681.86870488871 41437.5522506885 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.61445936178198 3.01027928890208 3485.34407586349 6299.8154257132 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.6265543220936 180.853644887867 807815.909308378 92264267.8952381 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 56.0597323344712 3.88940916834873 4998554.84677373 2606.02850885334 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.3766083290199 10.729039617971 167511.760555002 133087.24430731 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.40040961656207 8.2266909611069 5063.51807433968 53792.3250062692 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.77691756168988 1.25525024897259 9.95416988240354 12.0015402207158 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.181333802197327 0.442019953874132 0.653083388787509 1.19988850427758 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0741100505681978 0.228148343509515 0.107751161921832 0.283245066643423 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0427280604201917 0.148731290380261 0.0317079027509352 0.114975789121794 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.385370334911312 0.860153880036817 3.07499200904475 3.787927863423 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.110241781731838 0.321885212836366 0.559430874257777 0.584870423886685 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0553331440778808 0.197037578339952 0.112381633488665 0.222105087323919 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0429434574024231 0.176571246237282 0.038100502852456 0.176990223290195 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.451870943368511 0.940317437862153 5.00885510314524 7.69416949707977 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0649512922185121 0.254327204151534 0.0648455959305987 0.385658451944419 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0347870689856035 0.14326280921211 0.0242494058075843 0.109170071354548 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0338470112930346 0.121303157426477 0.0215833319963679 0.0817717132488247 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.14010740607116 2.52006277845991 13200.9634448951 88.7439025771702 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.44874523879111 0.870614459025799 3638.13244484881 6.68996733134286 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.988179686371792 0.448987943277701 2555.42586773181 1.66025659875718 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.765126756220392 0.286152753904155 1647.76127506939 0.604216003666586 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.03503335602938 7.09278542244851 39.1107685604413 116868.067377 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.738075263677886 0.792649600435799 811.628705096416 183.994763204233 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.832259833898289 0.342714532752141 1126.04974007195 0.698348720997395 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.635998064980534 0.274142223959046 703.326638406927 0.4650724822742 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.62676993134095 2.85666718620895 8414.04939731871 3796.09904164428 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.178839726763786 2.53230249052827 1.16283192497058 11955.4654160146 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.115071285784653 2.47393127157722 3.00492912678316 10598.5232767928 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.147931447665809 0.925057336325767 23.4708438896877 1672.56546380999 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.21461639308212 4.69295894911984 474.291033610954 306.955538028926 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.27398243098223 1.70322652638137 142.136131496499 50.3332144381515 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.636272811772036 0.930508647739467 120.52021889207 23.2304988194598 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.492691733570171 0.634420821428596 138.15523006951 19.4349592125538 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.5123914437621 4.34990521869726 96640.5438443648 5093.44453289035 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.13249117551169 1.42888038776187 43865.6948833595 319.265097654508 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.81168030300667 1.15225613608239 8978.54086987519 778.013979776036 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.38972790800108 1.15641121819082 1883.11893789597 1704.42881242191 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.55098036082341 15.3082380127895 8414.69316903497 230490.629961974 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.93878083802188 2.72248287869876 34189.2372327041 11862.5756451174 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.27266141322162 0.79880621787368 95006.9138672767 94.6500093396599 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.6620891650601 0.686046760703049 6645.30454127187 90.0806045016348 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.9068930233561 15.706755310726 13787.2364294863 7072.56780554217 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.56996240335053 6.08592581166583 7044.91949730286 2023.7135658559 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.11815923954062 3.84130641790534 4561.81853301638 1826.33979615899 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.19542523718468 3.0263787368813 3118.28087339167 1970.04599436745 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 22.3139309561762 14.8904381956867 139789.956425161 25487.5129697329 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.328973787118 6.33808483876292 67120.8359740231 10540.498492093 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.26065385572473 4.88841276922745 25260.773056347 13757.364368502 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.76321131128384 3.97779202323431 8898.87568881693 6402.75651840545 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 23.9744124712194 42.9555572583328 247192.977685152 1983895.07616304 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 78.8795909366485 9.79668560797737 19057252.2552062 61587.2397122959 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.3228973725572 10.0929422408283 121526.455977554 87484.2397385 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.35362194100099 6.08054033759047 30575.5029705611 18497.2679113611 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 21.539509109187 22.1224813696161 8777.86895538148 4448.64908077257 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.1435972214251 8.34994570804816 2451.45210573496 1123.1563270925 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.33474533269809 4.75084225537173 709.532527626626 778.558923680331 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.92327986741879 3.38074400694669 364.176168285605 651.437239226684 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.1721667461724 22.2731424919364 15526.8015514857 18441.9535904837 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 10.8077252489329 9.74872400032325 13583.8254672686 12801.0176656377 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.1583295448628 7.21887791932091 12967.4427766883 15982.8752590298 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.77134335203427 4.82870999099517 10225.0825784933 6148.35758710263 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 39.0276676716472 59.8874498472942 255733.606308644 704566.935800648 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 23.9177378950203 29.5226421424933 582801.317977549 680787.877022758 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 50.2258594637385 34.7185882278256 6773651.85041149 2527573.30107302 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 18.9876243900236 25.4874078174789 368437.2685108 1239765.36834951 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0398716742661629 0.0367632678998189 0.00492878743582951 0.00870683627057103 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0136988579640581 0.0164479875427076 0.00042584212217649 0.00111129452781011 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0106107521710861 0.015692167561867 0.000198840201231369 0.000838505182458607 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0110233477157546 0.0186955961535016 0.000201308534474242 0.00132214565346936 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0317427570365756 0.0347402257674277 0.0036134326083465 0.00451210842882438 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0225164297828432 0.0364319576019874 0.00138153369007047 0.00430806267284486 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0251698872528577 0.044551003075246 0.00144813669455923 0.00699479853420404 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0328851774124024 0.0602757850729535 0.00268247599532369 0.0144599805993084 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0265040004357383 0.0243843434903912 0.00336743102483824 0.00344972871765248 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0083054883433704 0.00976527556266934 0.00024191371704479 0.000229245172112767 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00621080344120184 0.0148668978907764 9.63606414428211E-05 0.000271380349710724 NURBSSource NURBSSource 25 259 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00799406695068983 0.0262604017620448 0.000140879415016168 0.00103439480143453 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.210468192534585 0.180902234645948 5.66532070743433 0.902925674347158 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0690776630186044 0.0530429551386251 0.686048523203595 0.0461107287960706 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0356387578893569 0.0294961173957489 0.179204250398965 0.00762788913112801 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0240228630340611 0.025626320465186 0.0556064653195135 0.00360088087528475 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.123820995012264 0.127189102872256 0.464791012513441 1.63617754515912 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0509041865457039 0.0569815117061379 0.151499765308641 0.189446185965027 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0367540490607413 0.0525995907471034 0.0311025251533357 0.064579000922993 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0383493688471606 0.0658505402568739 0.00875115058014195 0.0542085807025181 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.142697340652512 0.146920998474951 1.91265789398968 1.80509072812692 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0324142706634972 0.0305275586794139 0.038400931377187 0.054618232011579 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0180441294529547 0.0239632955781287 0.0129272670007242 0.0134791565894499 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0149472432591226 0.030926216817862 0.00311150672613142 0.00350693896711012 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.362190767215289 0.340278766328569 3.58239960408906 2.19921790435387 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.111997827075028 0.0996634899315052 0.381942700454123 0.165869798184017 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0556946762981118 0.0495949763223267 0.101634444196069 0.0261063815144214 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0355228303060188 0.0361299862480393 0.0338861548496969 0.00916063450402238 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.22331071030823 0.21957036695039 0.660475502318044 1.14992265025273 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0798332073303243 0.0782820281086025 0.123137101336768 0.116315072342536 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0503834891263608 0.0595486723256369 0.0347893760269907 0.0345313005016601 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0456845959561275 0.0685181692141257 0.0121058492378576 0.0323172899507293 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.247322916852965 0.258142642184588 1.73802040580262 2.96777515271183 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0575363619611895 0.0510259229176475 0.0441152762332199 0.0420867679263094 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0301015641229934 0.0325444907845296 0.0121334876028949 0.00975523293287483 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.023438215788297 0.0370370816823799 0.00434624979298434 0.00466632223385464 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.695085928856314 0.679003851221109 6.90175433715549 8.66477837891393 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.208722224591936 0.199535196224217 0.544019167973568 0.66189692030879 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.101676334990614 0.0936575294459461 0.129222524185856 0.0940691954095463 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0625593094921564 0.0607647666681537 0.0440513112766047 0.0294088153927984 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.433358190615703 0.431082871666805 2.31832964078488 3.14406021140538 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.145704117699661 0.135542793940548 0.341433176900826 0.249233410123609 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0839208117853651 0.0827215289070888 0.125776051535383 0.0535287720981969 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0651477728706167 0.0802110299773631 0.0424320926959763 0.041446854532821 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.481075251101261 0.507201447328462 4.71071217147413 11.2045996708888 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.111548732721055 0.0996302793693648 0.156491600853012 0.132216332955589 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0570615974293978 0.0553042763488407 0.0312953576486989 0.0342455778761221 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0420475330394966 0.0536361202702389 0.0127575623363236 0.0194981707655261 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.16227203256886 2.1334879925548 84.8097471154899 93.6103219466163 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.644531616232337 0.618769905110553 8.07439909428203 5.48757943416149 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.314995893330846 0.284526111957205 1.76728785910802 0.726304321514837 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.203805254400327 0.172168939932878 1.26086992502214 0.231595915225145 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.38304141908494 1.37937536218492 42.7889448250654 34.8779249420397 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.452378616123082 0.416464980879432 7.20991051643532 2.97946593987358 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.255358301486322 0.207981451182996 3.22591961805728 0.384172917101597 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.182986815661493 0.153736412550685 1.91248928661676 0.190874894987973 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.52965264208968 1.66393554799795 52.6831674854636 115.566250304811 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.343180200317019 0.35001544666042 2.42726327800572 4.34037463750757 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.170508919887839 0.180623168814896 0.353158332529409 1.40080153372873 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.122567184272158 0.163146839509238 0.134715646433143 1.36890122540657 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.90152393051371 5.1202911219264 574.472309637317 6481.01582910235 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.47990775243733 1.49057582831663 559.60508857776 707.840690202921 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.881539278942341 0.832763988924729 419.825934593744 347.396247967596 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.596419952897269 0.502967290690638 219.974148090747 124.315510514731 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.26593244627755 7.78417437226026 11995.6325518197 122293.201531882 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.81007479253489 0.890938374575842 2947.60209820422 154.919080512933 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.826803047863874 0.463429084120088 730.04177484002 38.1993341740492 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.523270565029193 0.298462460794014 244.882413823691 11.3642773481991 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 26.2774790982908 6.75744011827391 1963635.61558129 72583.2848550422 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.50094168941202 0.590648581701538 10614.12747611 7.60628347349683 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.09615678425612 0.327840521071811 1835.340141053 5.56765768066873 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.319052387927829 0.393359011615781 10.5155555416107 46.6276386873356 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.523804071608905 0.51761215399903 3.22729469865551 8.20576440153419 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.161458361926659 0.16149699709775 0.203428803841526 1.18235828943712 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0762564985330396 0.0802054219800932 0.0372079126739763 0.326931832784005 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0479148141267685 0.0530001617422153 0.017114106285359 0.103328737563592 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.358225100830221 0.320841550575207 3.56788244778497 1.29999275584107 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.116143800314621 0.116543068300665 0.380382871214472 0.272894198803825 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.06658035036576 0.0754636334633766 0.128362301920833 0.0589967060980299 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0575579572427885 0.0759335292833162 0.0897057064666777 0.0310400292698329 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.340987999094698 0.365575599513432 1.52707420658112 4.81590260839951 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0857899705389483 0.0743878800962918 0.133886625434431 0.0945996969860053 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0476797725876794 0.0456937432067143 0.0425240444290868 0.0202391866969338 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0345982901211206 0.046457839076771 0.0141872069243779 0.0104504096610207 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.03858532931422 1.04781592731406 12.1121216459149 18.1324207904749 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.326121110676494 0.312560240558584 1.006161190062 1.97977873294758 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.15556457634509 0.14868229929211 0.212695991135633 0.526215515607161 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0957551211369935 0.091958230005217 0.0865553209337675 0.170243754174033 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.709987613802804 0.647926466238209 10.5826590309328 4.67364999388152 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.220945872657915 0.219288788904572 0.88693369286024 0.858902359144005 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118511907852054 0.123751316159959 0.266660939530185 0.268740894299202 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0901609663064411 0.103696170913311 0.174355698713046 0.128841777278374 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.680516206205723 0.719649940896136 5.71209445319226 9.43585383518555 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.171857204187551 0.151437857876155 0.482408671166572 0.287438260050599 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0904116224991291 0.0834637597751522 0.0976246004743562 0.0586075571914018 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0652505838095551 0.0752895545381653 0.0422889316476273 0.0401472861247474 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.09529357869304 2.06953948341153 47.5334641415878 32.9592492265633 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.653197329644457 0.619358183739164 4.21597192729144 3.63781163149577 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.311322138021994 0.289824617230302 0.849775138202108 0.91192827596264 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.193242088279439 0.174685222813708 0.385455410182661 0.317485848048377 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.40593375999511 1.3095936131892 27.775346445883 14.1086186624576 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.434330866622738 0.420380761943882 2.46327151725699 1.97474326163389 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.227883638717791 0.219168371942484 0.752727524156044 0.512625711662909 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164023306861948 0.159458603408231 0.457695329290242 0.21116562676246 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.37523555800744 1.40467014139073 19.5820796930988 18.0659773688375 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.342878942516265 0.304503062335124 1.58274707903525 0.686047559483993 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.172521117983889 0.170298592174721 0.280373163813876 0.242024650463245 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.131396952571009 0.148380144720251 0.18820210760521 0.198604223903726 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.05381265126733 7.08038734158722 1489.30243668592 2459.77514352094 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.5508324309196 2.21749588199367 657.837649326255 246.153856270167 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.47506100840168 1.07829139674515 496.447007064491 71.1716984123407 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.0430469557171 0.692764845259107 365.301975047022 64.6023600854952 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.90116776771022 10.5478159637931 570.370989669544 135962.759953665 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.85819312275892 1.45891440630241 3907.04226477466 46.2249821357078 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.74830013337328 0.682241530240752 1761.58477328883 8.18569663499768 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.997517718349055 0.455152764516149 327.81397542409 4.59188371429475 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.06633386094762 20.53060399999 7806.14747317802 1076191.21655851 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.31506122808304 5.56890155623678 2843.52160526806 66755.6615314416 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.3754827055377 0.879794489353605 18084.9431995738 65.8264016154901 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.720967855382754 0.824799919252962 160.692730978251 58.2384301193746 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.1494642754884 11.3229292647892 2717.55191485204 1174.60742051266 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.0984834533958 4.09952832007208 1916.09169822229 421.792203730711 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.30317955490325 2.30952984891411 1554.54335778379 257.291279799414 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.54789072318928 1.58490286379721 1186.31501952028 186.989250370845 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.1650365800174 13.4439570611972 76517.215968129 16369.8788323956 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.47293938313459 5.8005714758316 19768.6795915923 13983.3017721277 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.99311852145798 4.77856413572577 2749.85389512976 12175.2842004656 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.38431253889869 2.88532959039031 865.743262631714 2772.75380483569 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 117.809731085717 35.258593076395 45273824.7913675 622793.280059813 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.3287352725695 20.6546013632353 63799.4188033999 392895.978930477 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.64962207218214 6.38723739233885 18963.5724662207 17028.5538480988 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.63846751878293 8.28634035046156 3656.02781024286 35050.1850668675 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00019042919758847 9.5959829367162E-05 1.1368937167796E-07 4.54982048647074E-08 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00061164540368833 0.000298326967865399 1.20380900532956E-06 4.3492207062628E-07 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00127772213895052 0.000618292835074127 5.27339606254412E-06 1.86484041046108E-06 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00222393320617777 0.00108195290955966 1.58614701202766E-05 5.71957559383473E-06 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000694755782294287 0.00035511189337422 5.64152330237736E-07 6.30672647540529E-07 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00281976591152872 0.00130897361445822 8.52464506055073E-06 8.68453368315217E-06 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0061396246137331 0.00279987639829998 3.99071498922814E-05 3.9849262780039E-05 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0107183287879409 0.00487117022362247 0.000120985432853006 0.000119070997791815 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00176970080396065 0.000415616463378944 1.27455930784019E-05 4.2695360184341E-07 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00187348541627871 0.000405593180275312 1.34318292200498E-05 5.91256426495531E-07 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00318647406316967 0.000911390643848139 3.70598085214623E-05 3.12374828755674E-06 NURBSSource NURBSSource 26 260 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00554565547126267 0.00192830628793015 0.00010901383074794 2.14025780349394E-05 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.209674072245704 0.225817227486571 0.123405633064367 0.145042512257404 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0880453051276131 0.0942168248038346 0.020628774012739 0.0258169858734729 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0496211635288398 0.0532143327429148 0.00639854903588425 0.00833427176654167 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0323437135730595 0.0346792789874097 0.00265341458362898 0.00359321664045394 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.12431082077059 0.13737829645618 0.0416817116942205 0.0559881962712928 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0349536146356741 0.0382714190895335 0.00296709445453443 0.00445067229888107 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0174964669083225 0.0181076949745748 0.00059131714987562 0.00107448784674712 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0145416474155788 0.011232648823072 0.00028525382121093 0.000492456692844087 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.105073486049877 0.1271929372692 0.0305021798344027 0.0470783314274709 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.031786118668623 0.036821229609225 0.0027509149014536 0.00400726518695145 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.01646409923316 0.0179790957645806 0.000754959274101217 0.000986183847000176 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0119383688094427 0.0112788949566972 0.000407864554142793 0.000414189184177062 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.417972729808729 0.45228718516586 0.517016256789451 0.555816391623407 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175900819014807 0.188573655030868 0.0840771173730932 0.101646514903614 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.099192125318998 0.106443454893755 0.0259769048502468 0.0329265584930283 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0645346530374522 0.0693427767270238 0.0107748456075718 0.0141414651699935 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.248502381803226 0.274777113290143 0.173261280544533 0.216947712099465 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0697481944002882 0.076539176416371 0.0122992263838345 0.0174839295671051 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0333705741875217 0.0360204049854599 0.00247878972926282 0.00403437697516572 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0221309974147182 0.0213032451055951 0.000849059912009886 0.00155215763608617 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.210293579191509 0.254154681954911 0.125386945219752 0.183417200335575 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0634641980218254 0.0736373089996357 0.0109744867847849 0.0158690351681253 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0323716475055695 0.0359204444227771 0.00287810207712538 0.00387987045557827 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0214062107962091 0.0221464314086876 0.00127414483826155 0.00154133284318141 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.836835173471518 0.903106959347942 2.25518608948548 2.05227402637448 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.350888371544275 0.377891133954015 0.347512204225834 0.395120720823579 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.198155109353093 0.213064376316126 0.106104165456388 0.129447930312654 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128957437122416 0.138708542113357 0.0438964126310234 0.0556760371347136 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.497469094250595 0.548556261307253 0.743507485174145 0.815709251664093 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.139410517005332 0.153106695918507 0.0507859313617551 0.0686391885820845 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0658988593393818 0.0719551785179096 0.0104789906600999 0.0156119084698912 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0402281462810028 0.0420455303513444 0.00339045974907247 0.00560711618617162 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.421908386728756 0.506583615740552 0.533177490338533 0.694486978733296 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.126835045350264 0.147253583292458 0.0445718978613828 0.062376148969766 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.064448340049043 0.0718339345473186 0.0114515448244684 0.0152723248522844 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0413868162722726 0.0440741187656707 0.00474642354893591 0.00595658638639805 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.57313665547107 2.6916526518479 24.7926975006987 15.4950086362378 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.05087248148461 1.13359482420927 3.50406574006946 3.21310413882746 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.591906397342333 0.641073014787221 1.02241836914216 1.09745244758249 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.385586979891291 0.417040570158561 0.414492526558287 0.48078902681176 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.51318258441789 1.62388006331586 8.09576548269813 6.17062314528434 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.41820969981679 0.460002197723529 0.492698447856465 0.585145277176251 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.196948026998444 0.216174036173313 0.101314817975815 0.135338575392328 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.117036092927024 0.125832528517654 0.0335787191304044 0.0471433303124799 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.30031099161158 1.48549756441494 5.88841628598245 5.16976530640524 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.380982346753281 0.441586183018136 0.434014668629298 0.526486467826167 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.192840877231197 0.215888535780737 0.107848301457449 0.13172971569928 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.122756641156472 0.132306406820719 0.0433293450972045 0.0512266944132154 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.36481916681224 4.49104210098063 74.8710756135611 40.3908800342654 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.76182577714331 1.88149410161838 10.5418436988207 8.29908457702784 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.986016399212257 1.06752982743498 3.00886637078866 2.89353535846263 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.641196882884669 0.695721177936861 1.19943575044478 1.28663106763775 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.55896340974472 2.69623851854317 24.8333136895471 15.7809567239774 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.698974972825902 0.767423223172136 1.45690657006528 1.55501728654341 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.328469472245936 0.361401515713693 0.292960698928451 0.368190206940798 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.194771960563889 0.210320409385665 0.0973651534686765 0.128520362052943 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.22108471196838 2.44687517508462 18.4482067177124 12.9080455175115 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.638948099401721 0.734147220559871 1.30082129124052 1.37859637760572 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.321705539737635 0.360485610913038 0.31597720727843 0.352775777490617 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204359945406652 0.22113664287691 0.125536099979661 0.137984210952438 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.660124323315838 0.710595544969273 1.43796450884637 1.39296714469739 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.274015161048218 0.293781552366837 0.22298142095241 0.261152026320976 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.154024691173733 0.165009083836392 0.0681763801945906 0.0846292476923319 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100012538474055 0.107304705576077 0.0282112784020634 0.0363424178796046 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.389515873254056 0.428537218071828 0.468994557547733 0.546524497300335 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107395480721827 0.118270562912862 0.032127690945038 0.0449362268474186 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0511321862396919 0.0552208456210691 0.00667278644929637 0.0100813176378555 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0320323425279643 0.0325674807246655 0.0021831743218871 0.00371529528961569 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.332672302788802 0.396720008761776 0.340681996096144 0.46300517148811 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0999928111043625 0.114382233409761 0.0288008161808717 0.0407446385106168 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0515881249008096 0.0560916008927239 0.00759140403900766 0.00994301452297647 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0334761121479712 0.0348808719792638 0.00318294596030282 0.00396005744896481 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.33158295911403 1.4149911237757 6.45857145863837 5.02986654646593 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.546836526771829 0.588039728943203 0.94147526045492 0.996551481972707 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.307372919310885 0.330525509981744 0.28090784571497 0.33021870419865 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.199686922672131 0.214828766813652 0.115303162657114 0.142822439313019 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.783401856962963 0.851523492690423 2.07585069329313 1.99645044643351 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.214617886595566 0.2367051955702 0.133049218015202 0.175613744343223 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101629081593393 0.110434111122925 0.0279210225158785 0.0393625120891924 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0612083164610544 0.0647033704491503 0.00916013962106024 0.0139961182298859 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.672644100483332 0.785530880251489 1.50824101957237 1.68757165357368 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.199862547269328 0.228885103204677 0.118719812957241 0.158764249364089 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.102892443490247 0.112264858247065 0.0307179220561325 0.0390099395796954 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0659638358889942 0.0696280375290327 0.0125066630532906 0.0154133138262949 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.71576869738023 2.82499009277726 29.3094936595961 18.1350945960981 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.09582554732134 1.17408025317554 4.11228723998031 3.69808822159594 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.61362526619809 0.661343157933911 1.18912571516383 1.25796283510583 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.398448827920485 0.430180898096266 0.479076079313554 0.552712297336342 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.5858691298146 1.68670417774467 9.45283443926682 7.11097577208125 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.42997528522229 0.473412705935481 0.565360775846022 0.671905314887054 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.202947160231497 0.22132683019163 0.116550401677774 0.154117219624917 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.121062421572599 0.129397657076048 0.0388047560997518 0.0542064108491574 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.37954239907214 1.5429095373953 7.01988903386815 5.87244251053234 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.400598479917017 0.45748465618546 0.507913191788382 0.602254947656418 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.205426899788714 0.225061697864902 0.127795283859257 0.151072962012568 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.131237857371026 0.1394788575521 0.0512712691959798 0.0598393965830089 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.45460155848116 8.57661805515657 305.512796103684 148.541748861803 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.34854080596621 3.485390237328 43.6536159886983 28.6032847499392 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.84911027222891 1.96902939636529 12.3172500779438 9.93206428166935 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.19293912816745 1.28552613732541 4.82407433360527 4.47394999182981 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.94993539053659 5.09635635169964 103.985358949021 56.3958711696777 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.31436713802822 1.42657421733104 6.09948643009708 5.47182609557107 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.616066210603262 0.672895371817687 1.19400031327956 1.32159609665263 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.365568275482654 0.394254072718651 0.391896797116739 0.473444952301747 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.38258415136941 4.57381017361798 80.0993300434518 44.0449077909807 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.23215305691639 1.36372909418438 5.6225886801001 4.67130340071818 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.623026826337332 0.68019470553183 1.35918690920235 1.23052552433061 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.395763940397512 0.423855211209388 0.536192101175886 0.498579252479363 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.2631677163162 14.3914617782533 882.570994903881 404.739052024875 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.63281804550799 5.78762756349674 127.950835126393 74.6783654847698 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.0965647136665 3.24895560199881 36.3485558909847 25.4796979419663 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.98813843968941 2.12259812262054 14.1885490505771 11.4993282788652 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.51524473423837 8.69236895264308 318.524986300305 157.599360810303 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.26338305300259 2.41825620555022 19.6161030697062 14.8828918998734 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.05550168219567 1.14940469401832 3.80494229631066 3.66837360010001 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.623405069438341 0.676246660517817 1.22677598635959 1.33346942888847 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.52128756710394 7.694444886399 244.15215492317 118.872033829417 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.11198305418833 2.26745044484618 17.7932524444003 12.0046767168653 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.06341176423275 1.14356604968953 4.35892304691251 3.23051726828024 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.675576837029823 0.718310047535632 1.73858046208744 1.33612437326593 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000100034327920679 7.35996121283269E-05 4.07291384178784E-08 9.92638068358033E-09 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000314746670108258 0.00018832752723306 5.50096424342081E-07 6.39151382325295E-08 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000675885889498511 0.000352464987395188 2.50675723552758E-06 2.274123409314E-07 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00131039026637855 0.000707140955480841 1.31424817719627E-05 2.72239771046014E-06 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000121456541017165 0.000382879807264293 2.43100871140879E-08 9.96970339702663E-07 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00050131207718757 0.00174352861566134 5.17185525453281E-07 2.13213360186322E-05 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00110178211621454 0.00387058696325682 2.60760455954894E-06 0.000105277513064295 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.003016103727684 0.00789314390075235 0.000147866140032296 0.000571836504664966 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000736371193786953 0.000838411786809792 2.87516200455643E-06 2.58899656728177E-06 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000854736912261511 0.000809960823962709 5.89151905029421E-06 1.48268192317579E-06 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00176105352650654 0.00199259500233978 2.17809869679463E-05 8.12234783992373E-06 NURBSSource NURBSSource 26 261 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00332607000034356 0.00437676938395668 6.63152440160566E-05 0.000105805661004839 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.268258565050562 0.498266412775246 0.327863440913239 0.711624361477598 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0909999655246815 0.254461513912797 0.0323789516870552 0.207977922976223 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0469501736112053 0.15029261640924 0.00749579629036471 0.0769128664740512 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0300987283733837 0.097850798171772 0.00289471834169022 0.0332154323089827 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.141717585835799 0.254013287592329 0.0698995678731239 0.198171875532048 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0376661099729343 0.0719017173515602 0.00422686854404123 0.0168952552553648 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0177421842191577 0.0341859423462313 0.000902574466687756 0.00405732640253209 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0117796110739373 0.0225328515326959 0.00045924503079937 0.00211968377696853 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119115754992327 0.20707782295185 0.0466650110431139 0.13341417147827 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0364419061091587 0.0709039276623572 0.0040740634039411 0.0165625172939438 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0194611269715651 0.0393074808914074 0.00116892370330848 0.00506343600595279 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0138881141652341 0.0273686406264276 0.000576801382259451 0.00243369768555801 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.609684984586046 0.922337910302319 1.96401789687508 2.26702727414411 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.213142926457828 0.477178525350598 0.225610818445032 0.671397052360215 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102986757349658 0.290820364607498 0.0435367961671201 0.272067579989277 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0622225363854961 0.193177004408988 0.0136603109134718 0.126199142289757 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.303573164361869 0.487747043026404 0.376374349738071 0.677336778221595 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.076105226747461 0.142972352301241 0.018181941795212 0.0650460111891355 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0354776307954647 0.0677853045806059 0.00372374110138652 0.0153475221201754 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0220382916385723 0.0415033922902399 0.00141625014779641 0.00628287815234993 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.250805413370441 0.401415845810034 0.237435094136999 0.469482625605963 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0736573973442758 0.14092610460497 0.01748116720305 0.0642817480551963 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0385329617798052 0.078340425427995 0.00468658344094071 0.0201798488689174 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0258809392941945 0.0535180118709534 0.00205796896439033 0.00949232625194266 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35242176497996 1.70936774572237 10.4905278867162 7.54238503241547 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.511017657870222 0.869461724676441 1.50845051803954 2.0805542697628 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.248345898064918 0.538227357715073 0.324863880143268 0.851468923522175 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142354718269835 0.367121818739953 0.0913109659413144 0.421139281202571 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.664595818284632 0.917850395338942 2.09385820053777 2.21537957065184 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.157565242955129 0.280713722544053 0.0868803154406023 0.239008470708591 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0715804315293615 0.134724692649496 0.0159583766425089 0.0586414375653846 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.042904293032515 0.0806286568651497 0.00541560849746229 0.0221551561849241 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.543647918163687 0.760419074094351 1.30247586980607 1.55266352211778 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152878188352257 0.276267201625792 0.084402126313152 0.236497394428742 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0780006333237295 0.155446915776231 0.0204377184040966 0.0781456990019273 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0508298500545234 0.105975651950727 0.00836255205557757 0.0372243665888158 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.45129241401731 4.78097699263574 120.286221040068 58.7299182710947 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.8680678113866 2.27606636092233 21.8109475065518 14.0874349102968 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.976687621160954 1.3823929173645 5.8962812541142 5.26904747341297 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.577363871077295 0.948197454158595 1.9808712555404 2.5131160833175 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.2222941032567 2.53226973213259 26.9715156110405 15.8487117603473 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.53902258105233 0.780636463531621 1.31212241225831 1.62521935862335 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.230766386399234 0.390275111305567 0.201975372559065 0.447636118825632 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.13105776417198 0.236574818711359 0.0576295599609943 0.17551800927023 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.82007757777427 2.08826200643414 17.2512891455583 10.7859068123005 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.525948831319865 0.762272886478724 1.28831857672903 1.598209309391 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.25829508398234 0.442777608277129 0.284354402704508 0.578915371346951 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.16189594334003 0.307544478097503 0.103771135863087 0.294778756488002 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.59968669782796 7.89205929552663 353.693439310422 158.527859952168 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.27361042569544 3.64466001395211 67.7293316773232 36.4626299877353 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.76040371284978 2.16673452472377 19.5445284859525 13.0370081721199 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.06651809798447 1.47167474620136 7.03294720337143 5.99080348047112 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.82721130515086 4.14615000615214 82.8762697494495 42.0944021822851 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.962881502811993 1.25174105778652 4.58373801737444 3.99136712107407 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.41288655766943 0.629736940400392 0.73330155276652 1.09239578201775 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.229510292549388 0.386919866897858 0.198680033747144 0.44301751877767 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.13706280320124 3.40092180178154 53.5874343293618 28.1271121728397 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.937979515444434 1.21238678954599 4.47300264857491 3.89438769909454 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.46574784186265 0.706062223915425 1.04459887592979 1.3960071477565 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.290614612176325 0.494733899782379 0.383987744571691 0.722709692931756 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06801921845161 1.42164863051298 6.58946113458589 5.39143756019002 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.393107874153086 0.725024622167413 0.901101385919522 1.50875243981501 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.189475667772498 0.446608072353359 0.187809394279401 0.614346680271514 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.109397411370231 0.302387267276528 0.0529056692266428 0.299615247695348 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.523571879875423 0.757932292521697 1.30237736686706 1.59433193747778 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.124578062532202 0.226530540987464 0.054424897402537 0.162869514756897 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0570456659996235 0.10783905977839 0.0102396799425614 0.0389445600796472 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0344213091096555 0.0648959260503041 0.00352194388405413 0.0149180321881128 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.429575307661547 0.630049327324736 0.805052971873848 1.11920018984015 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.121789511792542 0.227917178089263 0.0523809580245752 0.164993892753567 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.062601212515154 0.12742636779265 0.0129765214916707 0.053689049456204 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.041233123286237 0.0874551411265973 0.00544989415529424 0.0255671595796083 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.30883170580059 2.6725198985298 32.2995819494937 19.0067676880017 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.91797845272859 1.31824882303537 5.27995947031272 4.86063546988444 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.459710546609714 0.811714039329911 1.28471912382296 1.90724384012027 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.264437902762956 0.557412160804274 0.392142781897854 0.935026328130917 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13759128115743 1.42506964247197 6.86126590760612 5.35746152457171 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.265850322082491 0.436954501586721 0.290934133942572 0.564866066958408 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116890462609721 0.213002659675166 0.0472140007730473 0.145386848364184 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0683939311394297 0.127680911017762 0.0147492874188864 0.0549059573720695 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.931315818662831 1.18594355970995 4.30068828493504 3.72440632502528 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.261330471075915 0.438178662371382 0.283636743684951 0.569077645868704 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129901920872962 0.250087037001633 0.0628197624052263 0.198890643316348 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0834036548160121 0.172678207825022 0.0243616299801346 0.0977033255010029 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.8407264974566 5.17492931110777 145.192920328854 71.2322192446221 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.03495448858136 2.43880662989484 26.6207440973652 16.8659603474993 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.06714880172721 1.47363725826589 7.2994166205513 6.21616424137264 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.63267493744643 1.00864478652274 2.4955056552647 2.9334081991589 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.41158906500884 2.72568100436694 33.027398656701 19.2035053333894 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.582199795577939 0.82847232627467 1.62590509289085 1.89010519631805 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.249034724753183 0.41316938082249 0.251076429290751 0.509899570586114 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.140868621884993 0.25115322873068 0.070455862932473 0.200720334272649 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.97746540115381 2.25768916154832 21.10250347358 13.0584534372721 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.575421690278593 0.824933752428223 1.60399492824779 1.87670822661604 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.282811739693808 0.478329396250399 0.355044879705667 0.678423615200228 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.177417536158891 0.335202967478164 0.129851606945331 0.348949681917473 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.124694664035 15.3897347110171 1422.45401826945 608.431766422309 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.56433082072785 6.86659283716325 278.067015846297 132.654910079935 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.5976657080062 3.95279165102521 83.9338158532173 45.1486054492944 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.23192134564607 2.6225670043315 32.0583431344747 19.794794713506 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.78153532639686 8.14629063679669 364.385921806461 171.642703907018 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.03352210225487 2.36345836622385 23.2994119640817 14.8346434752469 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.893202211734449 1.17581030790002 4.15147598220853 3.77988002476039 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.497207207463827 0.725674261518808 1.17884577060607 1.49954930497366 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.33129828991374 6.63166933212195 232.023001600466 110.720535758377 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.96187744667852 2.28182939705578 21.6908723296566 13.7965355678971 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.00859526705715 1.31415639999762 5.66628572568165 4.77279482027418 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.644526079794229 0.928356967695108 2.26525983491319 2.44434695549299 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 25.5105684843841 25.7709811525301 4024.59529263982 1661.70641554254 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 10.9381515441205 11.2052772672054 761.774915293734 338.519400375136 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.01474410685214 6.32678209437325 231.005944037537 111.189971418671 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.76947671863955 4.12400240789284 90.0851521797729 47.4641465166566 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.7407312373619 14.2040565161918 1178.8355461348 545.227889586479 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.7600237186746 4.1055236507606 87.1404749257276 47.8396219531902 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.70047698330549 2.02602850632394 17.1363779298831 11.8135699388851 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.960079819739661 1.24297435339757 5.22398021073454 4.52712661924059 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.9794855865124 11.3398203998441 721.255368934681 334.269368521534 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.44927560729813 3.80488854144354 71.1045845136177 39.7620902912514 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.83573893615805 2.18271977181617 20.6039914923745 13.8371543283727 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.20506355583775 1.54250226083946 8.93012036232314 7.06179435906111 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.28483864176312E-05 0.000239330148336504 9.59628367597025E-09 3.59401913163741E-07 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000167497652484245 0.000800322959687226 8.65607388641838E-08 3.89906841990652E-06 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00038238682091215 0.00171672930621066 4.17981749580405E-07 1.79236099922967E-05 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000694864245184243 0.00298932269230028 1.2736423616436E-06 5.3984516471965E-05 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000511880146606424 0.00126513368384831 1.56008714898961E-06 8.29412907183983E-06 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00223880153019558 0.00507775756526105 2.93256018621155E-05 0.000134645318988385 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00491674845536138 0.0109751357136751 0.000141138321073417 0.000627749406182291 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00859960411962155 0.0191091427980067 0.000422719401340659 0.0018690612983093 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00104719892307173 0.00171429865030259 2.23162482806342E-06 1.0648359161019E-05 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.001185815912713 0.0023199232677422 2.61098967640473E-06 2.07350782203519E-05 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00191119145194673 0.00418667776046431 7.66275435770638E-06 7.19489067793844E-05 NURBSSource NURBSSource 26 262 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00307062513039967 0.00701083000094156 2.14102671710918E-05 0.000203678387972695 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.168242617126654 0.435513980230361 0.130721637638092 0.673944245886147 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0669058259162307 0.187131092331553 0.0187029203167349 0.130806048326551 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0379770456059863 0.104667942200045 0.00589771542712418 0.0412124083268147 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0249818164648462 0.0675196811767263 0.00250981409866989 0.0172960587478041 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.115847551697397 0.234386644302996 0.059100656715487 0.187605913692759 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0322116554640814 0.0659389556908765 0.00426908675538696 0.0152540109243166 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0160455453622387 0.033386616984141 0.00114299382725401 0.00428328902523974 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0125814310698897 0.0272225708060654 0.000811349970084333 0.0032754549962066 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.101006704054614 0.215764312908683 0.0443423635957122 0.169922553649237 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0298140947881237 0.063857589498103 0.00357917472345315 0.0144088258051158 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150671429245761 0.0323049816861386 0.000880397136215693 0.00361419423558501 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00979011945898902 0.0210976366345958 0.000351167469598256 0.00153679658625456 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.363644364628496 0.842023245641741 0.701320009660456 2.3505891849685 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.135648618154104 0.3722310196424 0.0811242638166716 0.508191778583683 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0763257717868708 0.208937353567748 0.024531237247038 0.162086932391649 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.050053596694429 0.134872920469029 0.0103066382021424 0.0679219012274629 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.234388521025609 0.465954454605688 0.262671424192879 0.717921597171956 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0644357594891686 0.131455421711067 0.0173021313581736 0.0592899831357037 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.031012820356823 0.0637940172218354 0.00410233304482162 0.014758331355286 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0204653745671996 0.0426385633677268 0.00195473549120167 0.00726856757830426 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.204596256003627 0.428823059447993 0.197354118579208 0.652186928396858 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0597132535134794 0.127539000872737 0.0147587591670789 0.056808569207012 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.029999734997379 0.0641847769823943 0.00360750969622541 0.0141116901626492 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0189170077249265 0.040325049363775 0.00139955204619092 0.005479119911883 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.852951246352705 1.55277347355856 4.4513805724527 7.34565087901246 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.287962820180948 0.726359928920187 0.409212734067945 1.82945734115996 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155096153099087 0.415298078279831 0.107466122066584 0.62689137179287 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100855339741041 0.268968499861192 0.0435439557227289 0.26561710853489 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.490794504616556 0.909643512103557 1.29966388701293 2.57955771619293 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.129534960271872 0.262149918666926 0.0728131722371202 0.230273092014203 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0615970599347877 0.126029766643691 0.0161434580742509 0.0555322728908701 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0382859581791338 0.0783064759002075 0.00648196386532741 0.022678460394706 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.429786733402715 0.837002200329376 0.988778409214494 2.33661669840987 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120062676094247 0.254420085477169 0.0625809701578559 0.221953584445764 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0600484752605087 0.128042137516888 0.0149375898022981 0.0554594112858097 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.03751871173522 0.0796725021986812 0.00574116227322188 0.0210663145880717 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.19724609918737 4.04355454640214 66.7259421045057 49.151142950937 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12136434319866 1.90322020573418 7.80699754461709 10.9935515894617 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.546401962510086 1.15782326096572 1.65563858482734 4.29641232342237 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.325234317541256 0.781651030148754 0.526236448276951 2.07839503190288 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.74371235857251 2.46337405297171 18.9012552651312 17.6016954002927 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.404500908389929 0.773256762359661 0.821705170775803 1.87476930060921 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.187005089779468 0.375765508583952 0.159726416481127 0.469687014910981 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.113408639149781 0.228368554800346 0.0573634717967782 0.179456571640801 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.54858763079946 2.25560492768742 15.1961631734435 15.5444828331999 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.374435532124528 0.748488310305091 0.706918948218005 1.79898491006886 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.182070608624935 0.381629512822223 0.15081546647734 0.474772424000905 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.112916597715846 0.237570022297947 0.0558794771266669 0.181370852368399 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.6545987406062 6.47631014931661 208.877522505331 128.222616784926 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.08272496424982 2.94557744729233 27.8746245591085 26.1079859724576 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.03228648262691 1.79603636756385 6.46793196577636 9.77332748294287 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.604120074511735 1.23377142962572 2.03512341323718 4.80221754493454 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.1331273164834 3.91551716220569 62.3983916208843 44.9367125411134 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.721833303481636 1.25220761981872 2.87569563573444 4.67750871001968 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.319498486340257 0.623983596269997 0.503080184616121 1.25599230994321 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.191588708250238 0.380157452558615 0.171867444689025 0.484834897606968 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.7929010358461 3.5765934083806 50.8204240894532 39.3572391438926 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.668268386883476 1.20264705982659 2.46827845049085 4.38818965467961 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.308984651864175 0.630561176942981 0.468122945048194 1.2526122116834 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.189622955887696 0.394822347068262 0.166531032701107 0.488767484332483 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.641735492201349 1.26651089636316 2.5450014824404 5.17148481354158 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.222971374091451 0.578625728238097 0.253799529511245 1.23770528619908 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.121884416399728 0.327288246505083 0.0702702623338254 0.41100423743052 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0792924574913767 0.211305140758838 0.0287330337452743 0.173069421761345 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.380514647855429 0.726405650261883 0.805780475126807 1.75058518466523 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101252938411045 0.20503416537991 0.0475416994438437 0.150743951066419 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0484220834913687 0.0990261979482959 0.0107332175865225 0.0365567338743246 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0306922847112258 0.0631060279040536 0.00442376497050571 0.0156096748544207 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.334242215111056 0.669059272825885 0.610189988130527 1.57883556935502 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0953375295679679 0.201127762593253 0.0411093038682637 0.146096859224623 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0475428989859885 0.101245257281507 0.00978834771791377 0.0361990112715675 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0301937091570092 0.0631684789326093 0.00378661847810011 0.0137439182108749 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.50916721990711 2.30223528669625 15.1054207126048 16.4979663087187 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.507231814381144 1.09107661939302 1.53253872455612 4.02714815843748 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.255185675705352 0.641995168121766 0.341747815835397 1.50675707820576 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.161245354735998 0.419569777111119 0.127201549332971 0.665577875867574 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.832175290269075 1.38217672508599 4.31547109725238 5.96109769850162 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.204733909647018 0.40823459352691 0.208719868969596 0.580964936961074 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0969788072458099 0.196745775372951 0.0441155801221657 0.140459800408154 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0597047331085716 0.121322515014507 0.0165477709224071 0.054932258870562 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.735323969332795 1.26980267669491 3.3670302823989 5.28578466444545 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.19249982682143 0.400081967607916 0.180553709882351 0.561951405124388 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0954041528172779 0.201875190344905 0.0411955101534659 0.141438118439066 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0601740569553668 0.125614266519803 0.0156356892556187 0.0534902766736918 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.41166874772574 4.25094723928821 77.9935739671412 57.3802505522722 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.20267331183528 1.98011831457978 9.52365519735651 12.5752584857535 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.585866813668421 1.20224415648734 2.0874020096362 4.83030428110099 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.347150435044638 0.81197991953115 0.66790927142437 2.32655569686366 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.86739184528448 2.57595930454891 22.9977327564247 20.32278777574 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.428199078103206 0.802438132393173 1.02463363312237 2.1348614925867 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.196630753487987 0.392599449472983 0.193829725946657 0.54369910900451 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.11959273318462 0.240367449444029 0.0684889525246409 0.208449230649664 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.657561599815 2.35994920692386 18.3714142253004 17.6886448593566 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.401017904227797 0.782780298555791 0.882833819928837 2.02990660008994 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.192713134328152 0.401568233792204 0.181102468245225 0.542931153626288 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.120627553960227 0.250435270619091 0.0662185654284375 0.207488266618961 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.3070769071482 12.0522426734919 846.108955807501 473.842304190423 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.32904335091964 5.17308935572852 125.322446156704 87.323041584145 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.22101789761991 3.07143196718446 32.7016714072996 29.8588579951627 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.3227784406346 2.10505619814673 11.3123957574871 13.9059611262982 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.53612076165157 7.23497700923974 290.892585140224 170.801503696782 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.58778055970655 2.25126404512431 16.939910853772 16.1440031326397 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.683988473114987 1.15809012847707 2.96189122885113 4.42541087152395 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.394920722407818 0.725293287318414 0.924007394070496 1.80569870016486 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.75037704905706 6.57591988139407 227.390848449759 143.225572195696 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.43107347115166 2.12378318199778 13.1545227027939 13.6612285409776 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.635388644942911 1.15115871244509 2.37682846923655 4.02399008640447 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.377389678228217 0.74181258644338 0.760381676762786 1.67859099653755 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 19.3128097191715 20.0261358410326 2516.49908331808 1671.26094379086 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.51389639734621 8.29967063145954 416.088123688026 410.596529341286 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.9566529238562 4.81796500374093 132.658077344388 238.040879302512 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.41320396646764 3.27408996288868 54.5410733087683 186.682568255599 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.2259699849654 12.4378963926413 7259.66416127135 1288.03658368294 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.22758268260763 3.91727632898344 516.715055843927 888.644990945786 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.39685648853848 2.05611420799985 20.9482123205711 540.066897458648 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.797908357117728 1.34524212920175 5.24666650102986 346.894587427366 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.1707129599098 11.4943719684157 27555.0572155271 4508.38899071611 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.6241196636904 3.53291359640133 46.8447244325605 328.73691208932 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.23144035664536 2.10787356047553 67.6052047928556 1921.25996522292 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.709865611165935 1.41697492131609 25.1370212971523 923.898877325149 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.74604827853897E-05 2.60297601488795E-05 3.29994222906402E-09 2.72767326638874E-09 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000121121419921326 9.20678978875607E-05 3.21106028008086E-08 3.5474964778964E-08 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000252584974634326 0.00019559637476649 1.39142522022569E-07 1.60530738413422E-07 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000457131391840692 0.000385274214236748 5.39924094919801E-07 8.09094728891231E-07 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.87542019898536E-05 9.00528271866498E-05 4.34113342632931E-08 5.31133688305221E-08 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000315956659884896 0.000402130742113862 8.27665633262072E-07 9.5418856910919E-07 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000687406652294232 0.000892145855413836 4.02982920914351E-06 4.60839900245531E-06 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00134281065381135 0.00175935310612948 1.60081151450445E-05 2.07704466474055E-05 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000269287206774846 0.000463618791347977 3.70919743954294E-07 1.04964185560608E-06 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000380947497112192 0.000372530235090407 8.99039893735039E-07 5.6885448016826E-07 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000792377923196269 0.00071099701628364 3.83150022692301E-06 1.90167471445215E-06 NURBSSource NURBSSource 26 263 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00150471015309428 0.00132415314033774 1.31579299525035E-05 7.7844466828221E-06 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.117760791608438 0.108257674808724 0.0428552010840386 0.0346713628719589 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0488575674696237 0.0450900831549765 0.00722415225529841 0.00624076261780991 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0273981055799958 0.0251953633723737 0.0022421596299901 0.00196916679840608 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0177966102473803 0.0163157629278925 0.000934560341562114 0.0008344942968833 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0680726630970735 0.0603687218171183 0.0133531662158817 0.0110812342847007 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.018918288046365 0.0168607702139439 0.00100741152095622 0.000880524463163781 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00890228901217137 0.00797370006807942 0.000218223544395167 0.000203325876421632 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0055328527085432 0.00506714878332048 8.70073455719261E-05 9.48485941450153E-05 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0619550866698133 0.0539394312249791 0.0112141234238294 0.00855879688232056 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0182493109956535 0.0163559923621525 0.000955447331037467 0.000827929370289034 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00911754104885853 0.00837584613527727 0.000240218435221839 0.000226310404267333 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00593980207030961 0.00548125873134273 0.000105703019825121 0.000102464454852971 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.236782939010775 0.214489850698059 0.181746418276934 0.128173975473049 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0979187238489469 0.0899521903578863 0.0295154062255937 0.0243107801073735 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0548350109784953 0.0503509598975524 0.00906260489103763 0.00777419978574545 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0355945349432315 0.0326173035549572 0.00376738833315043 0.00329729978834877 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.13621234154127 0.12057519120124 0.0547034985863397 0.0429250509958552 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0378313834964367 0.0337132311681335 0.00406093223612865 0.00349153550242917 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0177283422458413 0.0158695003741347 0.000876142686933303 0.000788447960930652 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0106076065728513 0.00958402989349458 0.000310573612007824 0.000307731970574752 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123706789062899 0.107959173780609 0.0455371772316203 0.0333333400359798 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0364957894329603 0.0327047361531592 0.00383474130975749 0.00327199275429692 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0181630078957361 0.0167039552985793 0.000945595605129235 0.00089089157820636 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0114568870250716 0.010665376401308 0.000378990001966847 0.000380642709301649 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.473626321464278 0.427919691001497 0.78441382622837 0.468311924373063 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.19690138517141 0.178651805383621 0.12332326134323 0.0917961199735236 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109925063721356 0.10042484712332 0.0370617880138553 0.0302309396786681 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0712554539836819 0.0651592330563897 0.0152730445163718 0.0129595142533826 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.272525902501713 0.240444180753471 0.229123568739683 0.16037557087438 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0756929772158868 0.0674001476599869 0.0164304787359106 0.0137897864670398 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0354191177467021 0.0317028206150308 0.00353675949470545 0.00310704698524928 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0209679489558333 0.0188864849057246 0.00122642691980412 0.00114415017506362 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.246343835430369 0.216403219423597 0.187477288109872 0.126549118108096 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.073014433403161 0.0653789354166189 0.0155271698130921 0.0128539055572822 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.036294992030431 0.0333836416795499 0.00378881257396822 0.00351569344031599 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0226958658871463 0.0211831199264089 0.00147745744599603 0.00147989421347897 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40517834256983 1.33279139637065 8.02454349028335 3.92776778115816 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.591032237819897 0.534174481757502 1.22521055879941 0.739257608431282 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.332464375450567 0.297923449847254 0.359832184881448 0.245549018533126 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.21517185996701 0.193857569928622 0.145092945707849 0.108362873057902 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.804335204462216 0.734369483852738 2.29778354561091 1.27142257932926 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.227876480102647 0.201713577195178 0.154410672431725 0.117570625499948 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10641183931311 0.0950803103124 0.0325824853431659 0.0273033536241579 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0627203813908594 0.056489194575486 0.0112457542167302 0.00989528796824292 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.724068940912471 0.662680899721189 1.84661338821899 1.01249758739583 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.219604814841705 0.195374975763059 0.147777984867007 0.107293563107143 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.109099046392108 0.0998755716201112 0.0353754172175477 0.0301874273085459 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0680270070840825 0.063368229946808 0.0135722944073154 0.0127984317827624 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.3463035846926 2.27056898131651 23.4160523686567 10.8182727831946 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.976283304063332 0.901312600793358 3.5729299311687 1.99646417698868 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.552826873882276 0.496879546681195 1.04253217914971 0.651650954213847 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.359620004774661 0.321411254479693 0.418608629425805 0.285087052637514 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.33106141226473 1.25157615582528 6.75703783230043 3.43297655910911 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.380794971860939 0.336165825405781 0.446245044561355 0.311666178451767 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.17797383824579 0.158476628518853 0.0926404933751858 0.0741842303643593 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104755293307675 0.0942277568487356 0.0317986428714349 0.0270852261381414 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.19932394549688 1.12948396420809 5.43358178096722 2.72519840674191 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.366306658421984 0.325300915137522 0.431411938228622 0.280444795491648 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.182741540305913 0.165554048268561 0.102886065333955 0.079473533033885 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.113866232473232 0.105264708387587 0.0391550245569528 0.0341420249718728 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.378471817204289 0.342155998308967 0.496505870240466 0.311872788130688 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.156506573375905 0.142959894866652 0.0785406266585972 0.0607242048198695 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0874707762397212 0.0801186977116857 0.0238201386475145 0.0197640015960495 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0567559744558048 0.0519159903901043 0.00987311054153228 0.00843107808979816 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.219082364075973 0.19431181356793 0.148880662869305 0.108561886492653 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0606756776436994 0.0536820979351407 0.0107877538432142 0.00901837088346422 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0283795361961478 0.0252319092196506 0.00232885120243856 0.00202557124261608 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0168121091529879 0.0151636765865942 0.000807980717559769 0.000762370486583439 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.198484843543587 0.174642874085571 0.122466220793632 0.085564138666009 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0586407651272719 0.0526215482780694 0.0101824677414138 0.00850789103437164 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0291426293274689 0.0267694014931726 0.00248579581393846 0.00229420922981756 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0183079779730264 0.0172477549469701 0.000981511140016838 0.000993052773266798 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.753804090783792 0.692599061555833 2.15906238743217 1.16206304838767 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.31468485332372 0.283696430825311 0.332237235862482 0.225837861758861 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.175619261468 0.159492128650333 0.0986059577205847 0.0754473517302654 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113721558658884 0.103605318836294 0.0403451156477996 0.0327768655616217 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.436241950544833 0.389243877926734 0.63121730157876 0.398102182963828 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.121378709879623 0.107373457900801 0.0438513592294217 0.0353916549927553 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0567548113782723 0.0504425981378807 0.00941764692011639 0.007998812008268 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0334935486133312 0.0301335791307659 0.00325614381952013 0.00293136126232594 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.393431484308459 0.351611875953181 0.51073986121325 0.318551851276833 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.117287541942878 0.105161405131489 0.0415588327482252 0.033046639562593 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0582616220961474 0.0535057502298544 0.0100470453937586 0.0090118642276002 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0364703791255855 0.034378320414264 0.00391377418271951 0.00388584477279949 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.50290630613384 1.42825865152651 9.35418271724125 4.51894880592676 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.627784269017053 0.569349527672172 1.41894378975755 0.849771879401629 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.352867296124856 0.31685295968028 0.415921892463979 0.281791074844696 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.228522413465682 0.206001862990803 0.168063634458714 0.124012038718801 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.860431195933726 0.795217054034911 2.70975189551106 1.48896048223336 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.243197329485454 0.214616663396017 0.181175420572947 0.135881764271748 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.11365759979304 0.100928025322454 0.0383599123199318 0.0314545345072572 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0670038294679793 0.060217326819524 0.0132390823959224 0.0114840297213837 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.775576599062345 0.718845383520201 2.18198238738426 1.19138298712274 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.234945268264674 0.20960313526603 0.173512994628923 0.12427117154288 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.116773094962428 0.106739391538672 0.0414704506522996 0.0346388287474558 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0729835423740286 0.0685905212924925 0.0160066908513837 0.0150633510880806 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.55408014723014 4.46599920723577 91.7840546018109 40.2400131303858 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.85173532722981 1.76709022227916 14.0105422336756 7.30363189326127 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.04299195265771 0.964593454628801 4.07257213977404 2.35064687859488 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.682280152374131 0.61730850403252 1.62976009947292 1.01229064807965 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.58175952390296 2.51636014210145 27.5829400666435 13.136325011138 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.727720832803357 0.657437614821275 1.79245738830109 1.1474759945714 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.344910888786781 0.305407585209247 0.371721442496723 0.27043073289726 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.203442332247719 0.182055613068664 0.12727867576748 0.100054755069854 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.3288055673054 2.27017722566238 22.2239754244069 10.3284740104453 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.700862079069543 0.637469797202024 1.75274947199759 0.994236811029539 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.354030911395749 0.317920900036963 0.423817607912716 0.272732241979948 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.222487527640587 0.203353916564053 0.163703926352446 0.119438411916479 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.62479204602079 7.51874442327418 260.086374467783 110.647019988886 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.06937582164173 2.980488006167 39.6851279539071 19.7459041596501 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.71410539621337 1.62595537316068 11.5570347988741 6.30185482220294 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.11952061392201 1.03653921677318 4.62096116657265 2.69523438909161 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.37770198861007 4.32315993318538 82.0584953503372 37.8600215221788 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.21816428560432 1.13664496063644 5.44791023558174 3.275865368285 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.583216673072303 0.522635203022532 1.12551094343903 0.764068996722917 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.346170259613647 0.30938956926378 0.384471973133512 0.279932803064134 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.92461041515655 3.86963875451913 65.2499333774687 28.9786802492463 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.16408231113954 1.08994410066471 5.21904288071453 2.70048984594108 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.592757117193426 0.537518853949639 1.29339384306458 0.723438889429827 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.376674256425964 0.34048439350798 0.511202385318341 0.311350953062348 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.70676703046265E-05 7.71230360228836E-05 1.73883448637877E-08 1.6075580638113E-08 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000230602949193114 0.000241589112474037 2.11426253579801E-07 1.5919360141703E-07 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000487001794350725 0.000502694756068338 9.46139592779563E-07 6.87089928734261E-07 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000961064635457823 0.000960805840371362 4.62445401476635E-06 4.11324252772872E-06 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000193207015100332 0.000160506881940072 1.11295110883731E-07 1.64598070760152E-07 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000823833593889059 0.000698708212804208 2.00694072418923E-06 3.45138315665511E-06 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00181213262851695 0.00154420924120522 9.70654345276328E-06 1.70930066373536E-05 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00354340333105511 0.00315697602183659 4.82776457559706E-05 8.30298383224226E-05 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000541482351925865 0.000369038844766936 1.4413105998598E-06 4.6194040354286E-07 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000393870420144987 0.000744748556432516 7.18840709381049E-07 1.61251826934834E-06 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000810012169239315 0.00164144698820187 2.62061147899485E-06 8.32286984772516E-06 NURBSSource NURBSSource 26 264 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00173608045839268 0.0031163814940771 1.98964101715649E-05 3.76794747927519E-05 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.129170031874925 0.118871282287702 0.0486965235121777 0.039508241995466 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0533588718079893 0.0493833373132502 0.0080222962433778 0.00700045461260587 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.029910806131776 0.0276819208003013 0.0025037701762856 0.00220064693327805 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0194644061962209 0.0180065654574362 0.00105728111651802 0.000926836518266125 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0755740865434285 0.0683796140852821 0.0162230476435174 0.0135341514220122 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0209876927004801 0.0189370486413861 0.00122187783905372 0.00107358349263304 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00998895201619002 0.00909027761491765 0.000278574622454805 0.000270859401214146 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00692397249137299 0.00647229817304102 0.000141165094882996 0.000188576698058628 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0670067166232895 0.0624574939920005 0.0126082537661938 0.0114930505370289 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0200696846947777 0.0183870446507564 0.00112669561816848 0.000981408245730633 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0101976329670542 0.00941637334290777 0.000298440372795202 0.000242082730173061 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00686021125920411 0.00688319456583547 0.000139130116690227 0.000127026001598574 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.257780172328537 0.237636556179367 0.201771507901111 0.15069057882493 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106834077899054 0.098615996984189 0.0325999991108835 0.0274743181921313 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0598435534372237 0.0553199453140162 0.0100731488675208 0.00875497934558086 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0388892519379573 0.0359363905784118 0.00422517540808114 0.00370382175577317 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.151194587916444 0.136610663299631 0.0665704456837256 0.0524006554544699 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0419592016385576 0.037834935641338 0.00490086637522262 0.00421599304355718 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0197370799961779 0.0179259036074584 0.00108147259219861 0.000993761587355276 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0123130275008815 0.011313161917308 0.000422826316863017 0.000468149513640021 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.134009500465392 0.124826858599747 0.051491498253982 0.0447638170950636 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0401394640521646 0.0367415382767916 0.00452285766495239 0.00392420434040197 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0203179212639573 0.0185438243231402 0.00118072180627283 0.00097387773630159 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0130632471323476 0.0121470768442297 0.000491411797862354 0.000405217291652355 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.510153838844993 0.479124935672911 0.84509970364513 0.567321108649014 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.213773777897674 0.196913859699631 0.13399493680718 0.10614806674538 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119835031603854 0.110457318919275 0.0409273231068566 0.0343774570620307 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0778196670276119 0.0717743138035876 0.0170431503949709 0.0146835425888612 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.300924930202205 0.274204050199874 0.275959428652254 0.200584721083023 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0839771663342074 0.0755791250886224 0.0198167480167258 0.016536069988208 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0393624449520349 0.0357168634238085 0.00430352561191177 0.00382465400647425 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0237287521753638 0.0216240733563964 0.00155622653902567 0.00153044660394492 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.266579212623779 0.250519083626326 0.21228603276928 0.172108023375628 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0803144241122432 0.0734187607287698 0.0183197393026529 0.0155023786102946 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.040598639628253 0.0369093649974406 0.00473607220462592 0.00390896783677722 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0257081493107489 0.0234116066512655 0.00190948784446919 0.00154594371146577 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.51242384812276 1.47971826265007 8.46719351345962 4.61600868002221 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.633378816963377 0.596437853629424 1.28196726229838 0.885796325456775 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.358737549868036 0.331404067113949 0.385599980727918 0.292096572581507 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.233763711727102 0.214701738782847 0.158868184243029 0.126536583010072 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.882557509213406 0.843754255636736 2.70113940294847 1.66085517124351 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25222564607982 0.226584347421203 0.18571199800342 0.141683790743734 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.118329211091058 0.106828920744908 0.0395103809789726 0.0329559455760768 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0705124818641479 0.0637814287803985 0.013905864782307 0.0123200147855815 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.780091401128505 0.77092719844463 2.06898769070026 1.41100708074049 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.240479103287769 0.220086357351122 0.172551742503414 0.132019474498308 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.121884292472778 0.110240367336469 0.0440431387811859 0.0340083050600634 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0767958019329587 0.0692578790316211 0.0175168059184077 0.013512512163431 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.5323177735873 2.50050421129524 24.8262314200114 12.3929641575807 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.04622151696742 1.00396250528767 3.69933059557891 2.36411340456108 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.593557334344844 0.555689000666057 1.10076060854211 0.785301453608241 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.388377610102192 0.35852493008362 0.451514291935434 0.341511880645883 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.46437830735721 1.42895922570543 7.92119386397179 4.45539378116175 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.418982857550908 0.380203920381706 0.53038723077254 0.38460392013395 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.19781292027281 0.178062395901566 0.112372755890844 0.089554694887937 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.117849615048787 0.106091821270986 0.0393756509060878 0.0332598118511458 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.29713136365127 1.30315590799708 6.11538600619294 3.72164958405672 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.398185092811449 0.368885550916133 0.494272439151389 0.353673053946873 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.203028743488136 0.1835845670643 0.126045482976753 0.0911800547119963 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.12815117747172 0.115154007632679 0.0500494396676956 0.036448538001252 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.406165786463646 0.380588525049697 0.538015607295871 0.375100968808225 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.168534797178344 0.156208194522802 0.0852340690082224 0.0698097165835239 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0942992030973409 0.0875310135921546 0.0260901584171873 0.0225414296370772 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0611974286169569 0.0568268295544563 0.01087602468036 0.00960230247620499 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.238330822223284 0.217196743415109 0.175894628536825 0.13119358464791 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0661733174511188 0.0598698315156349 0.012732265170781 0.0108829105323548 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0310479909848001 0.0282062957036079 0.00277801201494659 0.00250043607189255 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0189313906601604 0.0173442721608541 0.00102337040876617 0.00104005093921117 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.211890780841678 0.19857939059696 0.135669238377843 0.112107811180179 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0636312544186777 0.0586258950008315 0.0117818437245442 0.0102631090860683 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0323320799931839 0.0296081295171081 0.00305765832560926 0.00257788971599757 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0206961062736261 0.0189724620319506 0.00125488996547829 0.0010293271240266 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.80304652290154 0.772627814814878 2.2885757088881 1.40153692719426 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.336297416027313 0.312523561282854 0.353846997808398 0.266182500291999 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188897236233292 0.174645296014027 0.107115542598462 0.087295005664705 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122584779383347 0.113357720464255 0.044267250852049 0.0375858896554818 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.47176377162059 0.438861732071615 0.736717726317529 0.497813116407492 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.132568064547907 0.119543137752553 0.051955739536538 0.0423458713249709 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0620663645752891 0.0562753394260046 0.0111625492999529 0.00971905431466536 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0372000558120224 0.0339080556709037 0.00396224153958284 0.00372697244816277 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.418508811247263 0.40156716350357 0.564127260935066 0.426892337442892 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127374384950866 0.11704407974427 0.0482068055108763 0.0399505298298988 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0646727043907584 0.0590359949284294 0.0123760109717173 0.0102304036408175 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0411336530942032 0.0372515565869021 0.0050142464158976 0.00404035874205806 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.60108919690951 1.57779622153232 9.85594455391322 5.28769344994974 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.665842515758887 0.630854193696076 1.48161083609652 1.0101640495732 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.376642680559694 0.349846547268514 0.443753192663183 0.334221493668282 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.245338239913965 0.226320404855013 0.182224169116849 0.145079057593933 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.931539416408861 0.895046099717559 3.13813335071371 1.88720246895234 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.265134864703012 0.239560067512748 0.214480292438821 0.163671935083248 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.124444020993635 0.112382845385649 0.0455271200226883 0.0377930316939959 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0742430888956284 0.0673232212287784 0.015958671788098 0.0141182874618858 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.825461166223773 0.819425018215662 2.40403980494818 1.60325122010246 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.254156830838459 0.234308091282157 0.199833142817572 0.153087050044029 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129545573263004 0.117629867883216 0.0510139416617486 0.0395890590297127 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0822555023580225 0.0740076720200206 0.0205235899760158 0.015796386335811 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.87379713346208 4.87573641875529 98.1456944384359 45.1643919925509 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.967447856282 1.93669127241406 14.499691546145 8.37987640703673 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.10777394569224 1.06652607330082 4.26432128392074 2.77681500971459 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.725260773862642 0.684810333327854 1.7308601277478 1.21189777912692 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.81292420241215 2.7883705800482 32.0465247971281 16.0914515868689 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.789262369798785 0.739266310136243 2.10504479572375 1.41634859606296 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.376203480255601 0.341400691922629 0.441012261180928 0.328407211151887 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.22549193177593 0.202128756790136 0.154227428861159 0.120252831740977 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.50723389233921 2.53322525099079 24.9980919321702 13.1209437436759 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.749910456800154 0.718190887118032 1.96702757229143 1.25972982430403 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.387268342633269 0.353852745283872 0.50224553022427 0.32381936969306 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.248088525378859 0.220997830625202 0.203382753612739 0.129420654307206 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.18100813960228 8.20368040056509 281.050957740166 124.041773238959 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.27112254785573 3.24930564175134 41.5152410325546 22.4482409600228 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.82720161339088 1.78835578735117 12.1594911403532 7.38583089872704 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.19239325331688 1.14711154075008 4.91226870420745 3.21836314017995 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.78646638115358 4.76712667218986 96.1888496119346 45.3991762229942 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.32652337684019 1.27245112531431 6.40050877918582 4.00592719434707 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.634785313751671 0.585539763888782 1.33667733750136 0.930053068857883 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.382070669600738 0.344109466102089 0.467295670372226 0.337411078670332 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.25438607992902 4.29198283855627 74.5841597450177 35.9782703505678 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.24909825960873 1.22028606689654 5.85698541765963 3.37610377851112 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.644088307625502 0.600484261593227 1.50405925301233 0.867230265703829 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.415709405226853 0.373185461389785 0.617504276407805 0.345193877411386 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.08976010164842E-05 5.53418360208502E-05 9.01208947200324E-09 5.56925054720691E-09 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000220153268485712 0.000180942845882306 1.67648701221166E-07 6.12656648918188E-08 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000482835737974136 0.000380147193267757 8.3205015714914E-07 2.74071019107597E-07 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000884441978063558 0.000699970517619782 2.82840154410854E-06 1.16339855624379E-06 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000506202976781254 0.000145219588753736 8.87869436780077E-07 1.52029184518991E-07 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0020375225006641 0.000619068489952176 1.42824344105358E-05 2.46690848895582E-06 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00444095345959835 0.00135734822663437 6.7807241907343E-05 1.15868641973316E-05 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00815876443689351 0.00272549360344197 0.000231961894336304 5.94657624253804E-05 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00101070809217431 0.00125429973195505 3.46208144452743E-06 7.68168911634727E-06 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0010119119223475 0.000826391206228076 3.72139310232099E-06 2.84093982085502E-06 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00188160393638787 0.00135872590903975 1.34167296144136E-05 6.19858115700692E-06 NURBSSource NURBSSource 26 265 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00357692423866869 0.0023500053723069 5.26207914802592E-05 1.88005673168494E-05 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.340968361587113 0.139528069965494 0.341873723068006 0.0560956013452092 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147102316915052 0.0555767411783587 0.0614258514299997 0.00975259222416159 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0844343498024252 0.0313163867220313 0.0201120145180348 0.00321448317780974 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0555920330524167 0.0205120429805175 0.00870777687229819 0.00140461730628259 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.236316790373765 0.0923434393789518 0.168014705625101 0.027830146870775 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0670309210867864 0.0242900800855859 0.0130895784449541 0.00217605888155945 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0318101526055739 0.0114755332831279 0.00293815203479597 0.000509855580453646 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0203286729217493 0.00754880900925489 0.00121210247142261 0.00024823661543448 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.218622273597879 0.0762693528557313 0.140636687917345 0.020291749339191 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0638480648927771 0.0227174681294151 0.0117738578371517 0.00192592705384803 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0313581910665929 0.0119774630697393 0.00287977799872937 0.000521374814036026 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0196194469415837 0.00839323986233606 0.00115203100025771 0.000236877894521613 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.634347734324344 0.326220409373356 1.28982089584895 0.265781583695651 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.288714664192859 0.11667022560414 0.242642502250567 0.0398060098067207 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.167687555710766 0.0637878818584716 0.0803433818154182 0.0127398665657126 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.11079979606421 0.0413455218733645 0.0348417049652548 0.00555730141506827 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.447708081995065 0.209520509135871 0.638660813441992 0.127319543945988 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.133286514714128 0.0492706453971591 0.0523045033913941 0.00854530676477934 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.063036554543837 0.0227957662853707 0.0115521151419347 0.00194741424944424 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0377577251334731 0.0138481067127039 0.00412840238482769 0.000764732416025531 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.417428129728131 0.172254066882324 0.53661966285377 0.0911212280839712 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127081242035846 0.0459951419426945 0.047105638491939 0.00754377000923319 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0625283205525845 0.0237904253417024 0.0114494861543635 0.00203908475136888 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0384747076302288 0.0158648333537755 0.00439406287782013 0.000879218255686022 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14821435605483 0.774001675106718 4.92304545715763 1.30137752934902 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.546334061434328 0.264612191352422 0.926149275695614 0.183442723031632 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.32720210782289 0.13577755658702 0.314948247340867 0.0532414202442449 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219000633932544 0.0852427195070538 0.13839620592413 0.022281009039735 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.819241369838805 0.494912424478435 2.42016232643153 0.632505120669442 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.261272964852672 0.103848851976398 0.205562814266169 0.0347584702628603 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125289271297272 0.0460333464914401 0.0460156300101526 0.00756240797001901 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0738738384166838 0.0269953275758566 0.0158141932702923 0.00275085120987133 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.763984504899521 0.415010601603245 2.013805641586 0.46175686414039 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.249697994777076 0.0963943046134514 0.185892991346699 0.030501653848762 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.124402382497571 0.0480475031736968 0.0457425571930985 0.00799236911157892 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0763921717362601 0.0312707274358249 0.0173651425838027 0.00340330483785461 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.1017400718367 2.7365535099218 44.1946121039419 13.9526497322934 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.41877858894261 1.01680445908968 7.75696125630664 2.24674817994584 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.873276759113818 0.515942938437866 2.60198461087354 0.646189653184333 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.605715551165149 0.306908538659447 1.16162261289651 0.247073119073272 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.16615655871765 1.77886749026691 21.2789714703186 7.09415200022711 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.702592008315616 0.394724541210181 1.69373574180625 0.414940316874429 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.359875750560628 0.154713487037901 0.397246152320173 0.0731138594192162 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.217187096136758 0.0837020283539752 0.139638823375636 0.0234801433019151 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.99089852925396 1.54964134273296 17.4058136624578 5.43214143028675 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.674865350382455 0.363417645932884 1.54065742198339 0.354886049417268 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.357215806203278 0.160055546860253 0.397642420834498 0.0766650281438811 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.224345544836013 0.0978077603733511 0.154491736211435 0.0301993779487319 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.08766804702211 4.74549796037615 124.600217432597 40.2218071806398 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.23987629967385 1.82818957455558 21.3594546677223 6.7846824845826 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.35963788225968 0.955329176905096 7.02592927737267 2.04618022707905 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.943962158973429 0.576269542628583 3.09711348213147 0.802108078764513 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.4879216123487 3.10553436204176 59.5057066918245 20.6576581179817 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.09780880410242 0.736984951139572 4.59851585322548 1.34215662406567 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.569563603050226 0.291171814964848 1.05992382255762 0.236296341630987 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.352416499538961 0.150575468721516 0.378373132638053 0.0693534657087025 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.18625864859123 2.73744617368327 48.5739008651349 16.0691473791801 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.0497705747173 0.680968645301738 4.15977863650544 1.14161469882085 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.565206683715575 0.297392765459451 1.06681254067032 0.241549917430208 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.362593824064601 0.174667619424926 0.420396322479568 0.0888225573098261 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.957932211636234 0.599686121003896 3.32600637145819 0.862407688052676 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.45021880364867 0.205545969148456 0.629987658396012 0.122053991356143 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.266470804659908 0.10687597257316 0.212401032717813 0.0357270644141188 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.177468249403737 0.0676499802744723 0.0931049033893472 0.0149765153410059 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.681762540006114 0.382922165360456 1.64514097506287 0.421147846081021 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.213071871916419 0.0821285545948178 0.139230129115488 0.0238118789182432 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101181144912333 0.0370387528883007 0.0308971926423512 0.00522089508899326 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0597935600841879 0.0218453382011559 0.0106941817382572 0.00189586378053152 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.635018113444056 0.319695411067875 1.36746915050442 0.30590821924198 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.204335309827019 0.0768133401165835 0.126783876585209 0.0208340247349973 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.101231222909443 0.0388026726027435 0.0309744517750887 0.00544396185077854 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0620277733954587 0.025606562205535 0.0117259473966285 0.00232574807882061 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.75606992095258 1.37301877264832 13.0550777056809 4.00170476390795 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.82936248783634 0.483079400196753 2.38381638869066 0.604421774176492 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.505554958771977 0.241460515244096 0.809032410664144 0.167889679462769 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.344197551479717 0.146072816221842 0.360900652812154 0.0653562059685936 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24711817515099 0.882203565380084 6.38952996284351 2.00885418237093 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.406768192796587 0.183978840177003 0.530807914454167 0.108129811247925 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.199705818530636 0.0766634970365625 0.122021815546955 0.0210169277248094 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.118170528938673 0.0436407504825622 0.0420722880385357 0.00720056336354804 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.1540680946733 0.7552892362378 5.24466387388189 1.50186989955788 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.391244186177365 0.171042396903026 0.485407951295834 0.0930509072368458 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.199784035304359 0.080179457900253 0.122642523168708 0.0218642286572193 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.123148818326538 0.0514580784295112 0.0466785555863787 0.00910648881751694 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.34193140315366 2.98255304631929 52.7115300419959 17.3321342140077 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.51655441376482 1.11273669636231 9.23696726209488 2.85746488633901 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.928580416897648 0.566165206027619 3.0686573391151 0.829941029048293 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.642910923392428 0.337675561541038 1.36370044493258 0.318655333469927 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.32719149112692 1.93631260942094 25.4892824470927 8.90036308443227 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.749887435018265 0.433901255111932 2.01168973555306 0.537422520262821 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.383284501751032 0.170480855125121 0.467711364943853 0.0942538818137913 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.232304348605265 0.0911525525478926 0.165295777690079 0.0291224705740067 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.13203741884554 1.69260096398458 20.7415438094138 6.81831294298774 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.721092803423821 0.403680277142252 1.83625134066374 0.45908351174131 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.382834113888269 0.1772134526811 0.472004808321916 0.0969686313614004 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.241205946837578 0.107748046269612 0.183796660392487 0.0370884646731304 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.86375276046209 9.56462131611724 491.19459839847 165.429029976364 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.16823772370424 3.77643000619695 82.7202935468622 28.9226289299913 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.45183153595501 2.03050977136924 26.5309207569719 9.09439851987658 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.67561258962756 1.25838137678721 11.4774545072211 3.736672976117 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.66156544300417 6.31450293900577 236.183224867541 87.0645378292024 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.00961430601087 1.60767626032994 18.1432289701453 6.37437774692661 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0230826411544 0.672683348263386 4.02992321488433 1.23173850681374 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.640386301617026 0.349815573008151 1.41268236801684 0.358447898669618 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.055382841325 5.6334626913006 193.209535549469 68.7915374851069 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.89546711372839 1.48994734694913 16.0909554083313 5.28824784669163 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.00960444482693 0.676083426562882 4.01666791492855 1.17611543652917 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.657078661411614 0.39491652629043 1.57804337638394 0.420615309025986 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.5148147638272 16.2545826108119 1392.32453787473 470.306234454075 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.81586990727377 6.45220120637028 229.049411588274 81.0757099977478 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.92469724497251 3.51931259242466 72.4769699718325 25.7997770247415 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.64037986166266 2.2188004679589 31.0185473480402 10.8311233946988 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.1614782488173 10.8727447372479 680.637966666704 253.687396992926 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.31754146319147 2.91781017681483 54.1885385962875 20.1579978677477 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.66042611435671 1.27844518366577 11.9808507083947 4.19775695304573 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.03078796553893 0.687625476437868 4.12745076388453 1.29743722262114 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.2255185451575 9.81612055514287 571.827721776434 207.114109863211 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.05798972564963 2.64525004415423 45.769274805343 15.81423986581 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.60113758850684 1.23625649283262 11.3610798341668 3.65338839963099 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.04031797013047 0.73262433748753 4.46629699483144 1.33998046344681 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00011326702665206 8.21960958689954E-05 1.70057259576184E-08 2.68501833734737E-08 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000310907827964943 0.000246430162450042 1.64553209251737E-07 2.48392731315176E-07 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000635828245011331 0.000507896858985181 7.24240961876598E-07 1.06242851729319E-06 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00114231935192132 0.000897774585044624 2.55442328730336E-06 3.31842513063486E-06 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000329726621614963 0.000245221933101035 2.29055508720243E-07 2.51532331167701E-07 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00124093750287042 0.000934574198186738 3.92174064602204E-06 3.72526189963874E-06 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00267513256806085 0.00201751270159737 1.88142146391895E-05 1.74094219404488E-05 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00481602497882564 0.00369014528954798 6.20897083161798E-05 5.84624263975036E-05 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000608831233860737 0.000482896961884173 1.42218818635897E-06 5.98256671662255E-07 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000506681427529077 0.000465881691566022 6.50109446353883E-07 7.5194401792204E-07 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000985168880920371 0.000955682891763815 2.41854947373514E-06 3.56393556412661E-06 NURBSSource NURBSSource 26 266 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00192434538561167 0.00177710211907973 1.3579983806481E-05 1.18677620481608E-05 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.336971066718321 0.175276274204588 0.328924414434681 0.0852705118904224 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138458137192883 0.0746791477449333 0.0524389471002073 0.0163978873450725 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0783549685692532 0.0415006325636098 0.0165254087314048 0.00517189863190918 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0512014407197353 0.0266468693682938 0.00697827159674731 0.00216013813400912 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21226731563245 0.0882150496574002 0.128374030683108 0.0225242054863503 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0590793871296956 0.0241689778289871 0.00957280194951726 0.001765962364039 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0277651041285131 0.0114834124979638 0.00206922577044223 0.000430409957876069 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0170275496688477 0.00744841829717382 0.000744365649308644 0.000209165177349608 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.189072636013435 0.0879587740893565 0.101683559738159 0.0223058642641187 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0550582542926344 0.0249101046766577 0.00839307493329291 0.00183206762986383 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272486308929953 0.0120932510559206 0.00205014591278118 0.000437999804247271 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.017349493093346 0.00746246967278238 0.000807492571272607 0.000172300478648104 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.655514600855759 0.368592794663397 1.3367249435067 0.3580488159674 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.275685922993646 0.150560987774242 0.214334509526169 0.0642916270139711 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.156483451501709 0.0832120589902217 0.0670418919707252 0.0202822418915811 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.102311848670633 0.0533376404294515 0.028247543436097 0.00847659975722328 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.419305287097063 0.181538284330895 0.514576658873513 0.0914041396189931 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.118036626966844 0.0484330486253374 0.0385429279098437 0.00692423113155216 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0552896454925261 0.0227849918046053 0.00830824361838551 0.00161087717384521 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0327031232725448 0.013741308021265 0.00283381415531803 0.000641156382207661 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.374280916761679 0.179657087336655 0.410369147231515 0.0893104564728319 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110009395674674 0.0499087268619306 0.0338112626936057 0.00725138973744045 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0544552440473959 0.0241464565170732 0.00828662332433065 0.00172803872460334 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0343539879613594 0.0146744285643468 0.00326131915879163 0.000650704142775121 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.23721287212865 0.812131673147957 5.39260830168074 1.62390388423252 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.542365547325922 0.309929538847488 0.880290633659691 0.259613942140569 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.311260644646278 0.168080824094092 0.273908311425888 0.0796794609111749 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.204126624922738 0.107135320342578 0.114857406318046 0.0331984791638895 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.805396501045705 0.395677394475049 2.01672561495867 0.413080382520494 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.235278597738457 0.0977050251935822 0.155230032168295 0.0273484737688492 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.110402678880242 0.0455611278609469 0.0334808745238006 0.00621996610401527 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0646758584624207 0.0268882875002205 0.0113073647287702 0.00229306480103609 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.723479618666075 0.38373151378202 1.63449392541677 0.386684290182414 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.219265710427777 0.100523345970918 0.136529208519764 0.0285949322656475 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.108807454845747 0.048351917481504 0.0334890267338615 0.00681213197543072 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0684676434027771 0.0292542732145502 0.0132146647598698 0.00253932897597043 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.36520072613352 2.84980697606855 49.8272991852017 17.4908645571476 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.50347710900491 1.05444416210854 8.15165357487059 2.70749368655715 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.893356279237178 0.543805270691116 2.54188946908543 0.767196984230639 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.598525327508668 0.334662433198418 1.06662199999889 0.301491722388157 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.11553873065284 1.48787189450575 17.2082285940674 5.1766880486942 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.684361798548544 0.315963098702786 1.38611535050183 0.267590606242592 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.329124675990461 0.139266343749781 0.305493839484707 0.0547996323917349 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.193184200913598 0.0807247372455251 0.103455373638478 0.0192030531383441 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.92835747491588 1.38985018573479 14.3793036439692 4.51132662317473 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.638000951034301 0.320671507357322 1.23334513062813 0.26865557629356 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.323772339931483 0.147490452034899 0.306998031454425 0.0595252532512981 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204447439317835 0.0884125524548954 0.121576592830218 0.0220806892905086 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.48531419086854 4.97867879432962 141.103250918884 50.9192522181825 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.39254392423935 1.88004017847844 22.9106995177066 8.12016820541352 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.42442786586573 0.970361496596216 7.1020617764249 2.32168978661568 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.965845228285432 0.588485027409002 2.98047305572488 0.893077231635285 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.34229543858231 2.68829144994467 47.6625617122288 15.9969596125607 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.09328374603514 0.578859101265462 3.76801310426268 0.864519963909393 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.542411063553214 0.240642312126799 0.850902806016673 0.158412144652437 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.321390508191018 0.136501744540086 0.291122398535716 0.0530631446374491 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.05580559136204 2.49214646169569 40.1284478333446 13.7387430940943 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.01875108388943 0.577948048722012 3.37340246297421 0.831091361691525 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.531353684573612 0.253993461215648 0.854479065127684 0.168454383918576 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.3384702453215 0.14968698205414 0.34112386009075 0.0607422912967617 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.994289059888978 0.629259797039703 3.44059642794448 1.04945314616418 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.428234413305019 0.243319145248924 0.561156763624689 0.172045504868229 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.244596974051709 0.132360374132509 0.175220069777498 0.0527651465949749 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.160231631968345 0.0843938002237914 0.0737174084413184 0.0219030341626334 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.645493692862883 0.306262477208976 1.3087048075704 0.268946321413176 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.185330030613585 0.0770745140367162 0.100359091559674 0.0182482175198226 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0868556256618676 0.0359591639319406 0.0216854864762516 0.00413892572888384 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0512365962306635 0.0213387175304055 0.00740598489769432 0.00154624426137208 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.580868740601914 0.298556859645225 1.05833426188487 0.253479605939587 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.174321736005896 0.0792368374307604 0.0886715191217378 0.0189441585414877 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0868918020991748 0.0383322372087425 0.0218056781763131 0.00451578960132662 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0547910203386871 0.0233029019279159 0.00856989276364236 0.00170178768415981 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.8589394883142 1.40092629894483 13.9172343862346 4.78650559195481 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.826858835593726 0.516275384989662 2.28781152286251 0.740369321233577 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.48181762914969 0.272075756599523 0.715061709487311 0.215376092803869 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.318177723787088 0.17102956476608 0.30023515372088 0.0872109676063074 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.2033783161838 0.699089382477979 5.0406757750944 1.32628867056359 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.367097739134677 0.157884824653862 0.401846774025799 0.0744584653846907 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.173318042964865 0.0722682542687388 0.0874044596125488 0.016213622991384 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.101901598936394 0.0423083504557689 0.0297947260040987 0.00579034332571718 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.09333640393775 0.664278055812129 4.16298862410391 1.18423438606722 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.345575672669303 0.161436891863488 0.357527188244275 0.0759450383055437 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.173364396270388 0.0770177363380018 0.08814233821529 0.017775832980992 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.10933336086904 0.0465832066480329 0.0347396212622114 0.00664227860613726 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.53431748451344 3.05928300425732 57.0220778353631 20.9628053786898 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.55892156193096 1.13049639247253 9.28780392271559 3.31827831253826 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.925816878456582 0.581599081423324 2.89474376871669 0.940872750747619 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.621739594180079 0.356328715423359 1.21811983203701 0.365258796810805 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.20714821090548 1.60321125344319 19.6697459752071 6.4167868108857 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.711527153870135 0.339999944131471 1.57897268143481 0.33696914633847 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.344307316322195 0.147669279851338 0.351625590980585 0.0657032258514295 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.203299437807892 0.0850702262028626 0.120560430406901 0.022491016804071 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.02181502985718 1.49512974936371 16.5228638871573 5.53496094494587 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.670703163910587 0.342838275612523 1.42137251326415 0.328688680007423 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.343680540192702 0.156854322809969 0.355699692438129 0.0708298483055302 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.217945195115859 0.0937729328507617 0.141095611258578 0.0259004295623471 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.3379483317176 9.91547590801226 534.935438374257 201.688949891714 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.32137287776597 3.82128264875542 85.9510377805962 33.5344778355268 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.5156316692795 2.00546665099915 26.2702092048729 9.97277297524607 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.70214629422535 1.22299426618632 10.9391603532178 3.90921413009968 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.14255561981328 5.54395980489809 182.317377962748 69.1163074278205 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.92004215113819 1.28725816020455 13.8738349583715 4.44445759766016 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.986668722469246 0.516598599368989 3.16746910780271 0.77643885503173 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.604189300383282 0.276900312321209 1.12250209737066 0.228153167121038 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.62970438794373 5.10241667047925 153.79993709432 57.7934613850926 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.79295390810409 1.24635923984161 12.3896362906762 3.86750913494479 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.963355017814406 0.536698683123613 3.13151747589016 0.757115965027563 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.633187373320792 0.303644502594439 1.28323861312335 0.245967710557662 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.1869336093399 16.8023035269691 1500.42450813028 565.355554180272 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.04355809133848 6.55269366015089 238.2421011783 93.6171947577109 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.02590291585816 3.4886139837319 72.2735387946393 28.3247333106533 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.69324932136443 2.15221639644422 29.8824978017405 11.3308957183922 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.2878642645911 9.74138530436719 536.128666129341 208.95405332457 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.09853783005459 2.4198839366331 40.9221203281133 15.0632818252192 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.59682353916085 0.996987654448308 9.27077345422243 2.81861637861234 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.997964377058977 0.523071676649284 3.29704137474198 0.810613988565575 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.37046623849901 8.86984614988763 446.328697424983 170.411703652887 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.84081352561427 2.25677188615261 34.7029819056804 11.9092212436053 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.51345202911868 0.996608278723861 8.64233982067892 2.43318455217044 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.01017542476355 0.561065251995308 3.55891950381873 0.789683391521509 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.16676617426388E-05 0.000140043466132264 1.24004752804279E-09 1.06578468731376E-07 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.69990107286884E-05 0.000405637089631129 1.24677708481925E-08 8.98558316358987E-07 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000176024294211766 0.000830979588349048 5.38060609062325E-08 3.74125458129524E-06 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000316309461909704 0.00144490981773543 2.5046909023873E-07 1.10055215557956E-05 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.76186656619418E-05 0.000442498087096676 1.14184898050231E-08 1.25207164152997E-06 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00023795164890886 0.00180065995885721 1.99412451162048E-07 2.09754276982902E-05 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00051988873483295 0.00391875442305539 9.56830359240176E-07 9.94588657944543E-05 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000949449561366078 0.00684158396428994 3.49620146568426E-06 0.000296432598941967 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000219706684030155 0.000863878023003061 2.14251597218913E-07 3.14010896275549E-06 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000114498947287561 0.000806112549977872 1.33496785551965E-08 2.20270280093816E-06 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000373616308042331 0.00182001453500217 1.15671690464414E-07 9.97649872194046E-06 NURBSSource NURBSSource 26 267 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000802644183309333 0.00334280589429239 2.73465601812324E-06 3.4207403302049E-05 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.100765491881313 0.249381793481302 0.0293061951815048 0.170884860561239 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0413508928043897 0.10481092325257 0.00472818734006303 0.0304623743433561 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0230158929274777 0.0592387973433462 0.00144399384574237 0.00981250469054993 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0148611662460394 0.0386492826857088 0.00059392727000375 0.00422572561116604 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0540976595214251 0.153582485136621 0.00819604133848401 0.0674276749425784 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0149644182785153 0.0425879311153635 0.000611755730643465 0.00530862473953396 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00702135412327234 0.0208679450791793 0.000134950238629975 0.00139392822565297 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00424235746301599 0.0148379276522481 5.01202896326207E-05 0.000834726234363049 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0496565196229453 0.14261530524418 0.00718108021644661 0.0556720470599801 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0146055586064573 0.0417584229098591 0.000589795277492058 0.00491591984444122 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00727238712166385 0.0208486294598043 0.000138463336375365 0.00123931611441331 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0045968697380691 0.013543960483291 5.28164469822776E-05 0.000519231720182941 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.209194680592842 0.490913533088593 0.134544807281581 0.644951258313252 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0830793565305061 0.209243847039774 0.0193945067474331 0.120566570933717 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.046087741276529 0.118405133398491 0.00584634407518142 0.0389655061431284 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.029732805761052 0.0772194646401301 0.00240443464497958 0.0167006049335749 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.109321837857447 0.305979144030881 0.0343643116591006 0.265024831223499 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0299394631249826 0.0850253139630245 0.00245496603798846 0.0208553124879382 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.014013879213395 0.0405539258027885 0.000536502586993916 0.00498696540510434 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00829294820434788 0.0255528103762966 0.000188729208236599 0.00218809136236864 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.100270652618245 0.284176051524787 0.0299410787511246 0.218916201310578 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.029225805435777 0.0834912753340023 0.00237983277215918 0.0196327884188053 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0145338729369744 0.0415012254777041 0.000565167359202119 0.0049516316596794 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00902751441256765 0.0261138029892153 0.000210688502095066 0.00198706883433443 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.465508653316718 0.934674769710366 0.757495871961056 2.19858175648601 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.169791025548468 0.414854713724292 0.0843336744457707 0.46642553593329 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0926517978123096 0.236328440092711 0.0240182850060997 0.154077546113515 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0595768866873935 0.154291079060702 0.00976938038323294 0.0661903237327159 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.229896907836496 0.600142338607428 0.166002464849607 0.989749214567963 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0599807959228213 0.169890139916503 0.00991448917089474 0.0825375677546299 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0280274297109531 0.0804910087629264 0.00214812992469073 0.0190536837873366 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0164906885071203 0.0483908333791904 0.000743478061735288 0.00729745844999997 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.210726380061015 0.557434772676534 0.142455816696851 0.818242236661847 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0585850648644454 0.166849882327306 0.00968467796786762 0.0781348565962494 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.029081413339097 0.082886254400304 0.00229923121134584 0.0197923384580237 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0179716847364866 0.0517065919767764 0.000856884673154562 0.00788724417169459 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.78444515927539 2.45222388310516 13.3072165638408 13.0191914103001 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.594755491925293 1.15885110861771 1.24822168264103 3.35230418160457 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.296265507925507 0.690269006021732 0.271266311709187 1.26719733109772 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.183243937979891 0.458087443335732 0.0971315920168928 0.572081952831806 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.891708847976054 1.59311456829362 3.22195537675253 6.12176174092765 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.184928650031008 0.505174311517929 0.0994025349002792 0.715525590874694 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.084437550009228 0.240911537305981 0.019722353837782 0.166670052841525 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0494996689467411 0.142615624926376 0.00673403192461177 0.059856141346255 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.81832453696608 1.47926073850277 2.67124187332517 5.08427828310569 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.18225679609249 0.493701342400123 0.101008859541527 0.667044604438573 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0879176463574953 0.247841906139625 0.0218313081830231 0.175610095670839 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0540141431171287 0.154434093327694 0.00804704692713463 0.0704478238134635 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.22730167099961 3.90605969994187 45.0900678029951 31.2094384949931 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.11439578142325 1.81165154648486 4.80838811599209 7.68048358639502 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.539432333402593 1.1039554248738 0.996583437244604 3.09951818294273 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.320851036304379 0.747420236084942 0.31956467527872 1.48532736156153 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.69141927044417 2.46404863451755 12.3904965209652 13.730200305833 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.328147698394929 0.824453154195051 0.344080612482493 1.85075948435172 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.142520310338107 0.401011913265544 0.0575265150235118 0.457298681137313 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0828775861009486 0.237740558613417 0.0190548799043649 0.164137898406129 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55359997194825 2.28576532717419 10.2560204260824 11.3240225572574 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.32848477099767 0.797506663412697 0.363536001067043 1.67283119032734 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.149638608298162 0.409903225607111 0.0664190811768062 0.473099960284675 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0907344015967663 0.256648992012344 0.023430089909975 0.193163031632049 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.357904286109029 0.756617547593337 0.449864263328447 1.52146748855711 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133544770982213 0.329939183618684 0.0537067818064211 0.309312025650151 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0731958947371123 0.187188636539231 0.0155803264808165 0.10121390151216 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0470778902356472 0.122052679877736 0.00635893805387535 0.0433980013950245 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.178724058657438 0.480615787400503 0.10137226832484 0.664655136923202 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0473785746641768 0.135657987809909 0.00645319289995334 0.0551688322585371 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0221218480801726 0.0639824867786648 0.00140034416299792 0.0126261789368953 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0130599247072684 0.0389325832204271 0.000488806170817997 0.00496364246018504 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.164214954927094 0.448902086822863 0.0871094521960563 0.552776023414733 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0464583660965118 0.134505612374233 0.00630772790164731 0.0521232537355731 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0230720547553073 0.0668960137781983 0.00149864071201486 0.0131723883574627 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0143766081217357 0.042069549722761 0.000563394324853164 0.00529847661776274 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.834346829071488 1.40128615146135 2.79751929466616 4.77527200230593 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.283489092364513 0.643237772449406 0.264843806214134 1.1358760990522 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.149026145807911 0.371575935432904 0.0669312275856012 0.393177270292205 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.094710988154442 0.243417269737889 0.0261997847626839 0.171114435629586 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.401331237645242 0.915462043463737 0.598599957678178 2.27045477088426 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0953982099689406 0.270701455209066 0.0266329183179423 0.217506917637838 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0442791977488222 0.127510105985981 0.00563231200528473 0.0491693095581412 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0260562198523076 0.0759527269076417 0.00194711175059328 0.0180287443439685 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.369379640970744 0.854623431328467 0.501945143165869 1.89395416572709 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0937073342980057 0.268130072356491 0.026301451816988 0.205487893548949 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0462197174846974 0.133638527275697 0.00612276916665605 0.0524755884430575 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0287166142491436 0.0837611613011377 0.00229886707522247 0.0211090011168146 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.93855921851491 2.5795353233857 16.3285369813 14.757663949835 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.645995115828884 1.20853722554915 1.5827331913405 3.74172162018794 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318683644627709 0.722141320911834 0.338086005371449 1.43196684907425 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.195083911593956 0.480840208418687 0.117212638154236 0.654932796722395 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.96876632566287 1.66406145814439 4.02363083227174 6.85086503751 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.19774430118432 0.535317110902776 0.123024553052756 0.832383069618513 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0890728418428726 0.254744696263126 0.0231099836712946 0.193705761789403 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0521929716510772 0.151053100505632 0.00786104562734753 0.0694065411628957 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.892483564304326 1.55153376577097 3.33307238246282 5.70663079554551 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.19574547875301 0.527671318812555 0.124190537978697 0.775865288003866 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0932889879250252 0.266393489855967 0.0257902984268171 0.206785058281348 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.05762203062933 0.167184175415628 0.00951282622625279 0.0838956601227328 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.6532421267384 7.25969723427088 200.599607296039 105.824998362025 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.43104770970898 3.16712100239958 25.4762686236975 22.6669531773464 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.201560355605 1.91790840727077 5.87691330468927 8.96221290921593 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.698175137014014 1.32375846653932 1.84513431729129 4.53085839811677 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.66190365994879 4.41091292295285 62.5385405391035 43.5065521442472 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.75354781641101 1.4732948755418 2.33088875465512 5.68547214065109 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.292392245546032 0.753886332612984 0.291045637581456 1.62628589164507 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162671387478582 0.455014353321385 0.0819442410367086 0.611977620415857 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.37081176247655 4.0854985142529 51.7362718494375 35.1078978494244 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.755560209987577 1.41364735857025 2.36311867767065 4.94329387988336 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.3157312859779 0.764541837426139 0.360693621748709 1.59213800224206 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.183178705361042 0.493269815816062 0.110483875800967 0.704095529074261 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.4293748640135 12.0002030748097 595.801587734934 280.980687088458 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.31438070609245 5.04840914047545 81.6692244552259 55.2226420307627 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.20297551960769 2.98657186104411 20.5769957557706 20.5949485814995 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.3017489029555 2.05373897541544 6.88577930065606 10.2649298221847 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.57425211361874 7.27863845306392 205.692687201743 115.785357975823 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.49108098402616 2.32205882957825 9.99925104657978 13.3878887918495 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.569266273405134 1.22595141659756 1.30979979382891 4.08015269270191 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.298134195661952 0.761909973386066 0.317903070372966 1.67098431891635 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.99335260011379 6.67954703586691 166.630610251941 90.858365335901 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.44887268632423 2.18971460678975 9.35063472246923 11.1674832750877 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.609865375828333 1.20193564411759 1.55523741179355 3.68931261671541 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.340762249089651 0.796562437390759 0.451120860033387 1.74715337935166 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.88495369780543E-05 0.000266630257330292 9.75325209987565E-09 4.02105585083103E-07 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000105296590895166 0.000608921724426389 4.79495264265245E-08 2.03660958672524E-06 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000210224789872136 0.0012100816286299 1.93689529085366E-07 7.97550706943939E-06 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000374075932952574 0.00205099235243144 6.89184522444692E-07 2.26140325456149E-05 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.04173450209878E-05 0.000583336846410948 4.11252255829001E-09 1.81915015639292E-06 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00023575557246924 0.0023240995726048 1.11472797094478E-07 2.87639312084711E-05 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000527798420730075 0.0050498960607729 5.78866313264078E-07 0.000135600323006321 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000997125957644968 0.00870212063092005 2.97531398412187E-06 0.00039450290800481 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000396670031434022 0.000739016925820359 2.42178665118259E-07 2.93260099412049E-06 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000261949735223111 0.00102045851917713 1.85448358865772E-07 4.3734600058401E-06 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000628805589123921 0.00203739625294272 1.93221208474281E-06 2.39092247837897E-05 NURBSSource NURBSSource 26 268 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00114077978241601 0.00327408401469954 7.29393247885222E-06 4.25156560998409E-05 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.143759902144619 0.337070315012788 0.081199212410076 0.368172602085619 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0622967365475024 0.131856675674786 0.0154176914887958 0.0556377467523915 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0346534291095033 0.0742436125156927 0.00476283204221387 0.017685195767236 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0222568824511181 0.0485474686925703 0.00196006181338642 0.00766895745108592 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0725987924751832 0.211180997879234 0.0201132726043488 0.142782112240813 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0202703054693479 0.0583466249446972 0.00153666220813308 0.0110903549313855 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00951202687804996 0.0279735248836159 0.00033328966433565 0.00276387316310087 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00571808056943814 0.0184932517855607 0.00011652486798306 0.00140470372789846 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.059811065896977 0.216855689696291 0.0135177494739327 0.154216334031864 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0194510498654274 0.0608286518215894 0.00146651141733654 0.0120196814793428 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0104846233470868 0.0291415700329974 0.000445434321561105 0.00274945240598174 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00698247306978574 0.0177480320883998 0.000202004578393291 0.00102030500680466 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.291590875722883 0.670035772496742 0.344858357948709 1.40117462315246 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.124314359769944 0.264011100936759 0.0611245304187244 0.219766046815925 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0692747941029352 0.14849276108932 0.0190907558277378 0.0700192350662945 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0444941305528739 0.0970368558058678 0.00785002638003644 0.0301731025879622 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.145521848993906 0.421995497657768 0.0818688994786644 0.563168036838505 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0405294308991524 0.116624403479382 0.00618277628381502 0.0436807956924352 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0190047879930999 0.0552116793913544 0.00134777315474717 0.0102194264404574 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0112757444557745 0.0338165961798046 0.000467492950264875 0.00420091698798789 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.120584943326402 0.432623391875302 0.0559315848244145 0.607182998555635 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0388839639689918 0.121657635248774 0.00589084492012729 0.047835203941869 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0209195338144354 0.0581234755333976 0.00177204244953731 0.0108551468550807 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0137868905392201 0.0350418748281971 0.000778421617869613 0.00393123645774659 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.638448068233656 1.28376857528882 1.84529739417202 4.70925822447069 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.248327777431593 0.528385935666317 0.24359138058094 0.851843989399783 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.138116882096012 0.297365469680242 0.0752872539403154 0.276151769774422 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0888940884234669 0.194107107624813 0.031374352516297 0.119144353075145 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.302979359991134 0.831606458147149 0.375626650743936 2.10771016139386 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.081004595791551 0.233314218743935 0.0248790718150809 0.1729636873372 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0379995538819502 0.110075268658 0.00543831335134112 0.0394584607248352 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0224566177646261 0.0659205122783435 0.00188915628043303 0.0148859331696333 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.259223471935746 0.846315437442824 0.282237700774877 2.23300196453401 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0776913502954829 0.243357968639509 0.0236636435895545 0.190155052552404 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0417863263235591 0.116169343830814 0.00709020888681973 0.0431067665810348 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0274712403889899 0.0698848041597834 0.00308277152214607 0.0155153882214102 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.44460745415135 3.35826647801345 31.294481862231 28.1572737675405 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.826489079457044 1.50367621269246 3.11061370317221 6.10796114493092 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.422368093351393 0.88360227273023 0.729681417418842 2.26772883067843 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.265592360373275 0.582970002965206 0.276905193466465 1.02806425446807 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.21127578850858 2.19019792038499 7.30766061688362 12.4717755766077 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.246605720123935 0.698011203306935 0.23800910558671 1.50302742926996 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.113953413645837 0.330771217078981 0.0495894959788744 0.34716913072051 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0673086212610688 0.196653788579465 0.017305194868984 0.125507242200715 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.13211380094268 2.17820339064182 6.83252005017622 12.6161863274015 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.239182282196035 0.722796535821691 0.233169298033775 1.62061935347284 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.12469305458843 0.348819415090584 0.0638327469859429 0.382443720121437 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0820574524490466 0.209730579728644 0.0277400792452297 0.137610188614257 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.41442543481626 5.34197821861832 104.225130926371 69.4363017986878 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.52425440516252 2.36288527254215 11.3714471386478 14.1938383114148 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.752048813902452 1.42350042885565 2.50818301599412 5.52224766551165 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.454479660295142 0.958926984569454 0.846679494283295 2.65573511731228 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.30961364727052 3.38578568300891 27.8785941373955 28.3224649510198 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.442225310245509 1.1379070202653 0.825180269392342 3.81251447572572 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.191071743579838 0.553149527226772 0.141330454286135 0.959107219281629 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.112349727178719 0.32913873964994 0.0486608451529175 0.347034568009995 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.19739227151461 3.33907074517355 26.8373650629789 28.3821509037463 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.43939553044881 1.16099697595536 0.860451046769753 3.94730604059071 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.208604568753304 0.579967941641107 0.18188287689933 1.03760809033123 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.136261119808039 0.350089791858398 0.0774001389412756 0.378580492710078 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.496775028616532 1.04480546761555 1.12428070440256 3.25681566717347 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.199388722201369 0.420074296104369 0.163090483612603 0.557075634584835 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.110966621777064 0.236445050345528 0.0508753211239707 0.180400270732352 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0712806318817915 0.154300275250578 0.0211016571671461 0.0777329488122737 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.239137986588172 0.668270523592589 0.237849581406476 1.39980690342724 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0647696704846758 0.185154402459642 0.0165204961841211 0.112174217883503 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.030518418539342 0.0878874164431711 0.00362252058259279 0.0261460120666464 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0180434420183241 0.0527454116302362 0.00125772685127622 0.00997229696095155 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.203009013724012 0.682893143819147 0.173323253792607 1.49456487784209 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0627356283948949 0.193451442681723 0.0156406513392459 0.123093843559902 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.033965050334234 0.0930215128792397 0.00464751400766309 0.0284342971993294 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0224088138009716 0.0557819134693352 0.00206036247727851 0.010132789185658 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14909389152907 1.93532111270011 6.75551527785927 10.1110389417849 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.40833500203139 0.83056471950586 0.720809838099749 2.05134996695576 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.221302379881066 0.473396538330363 0.200921887169811 0.700794276599561 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142049729766388 0.308981580759874 0.0828486725297935 0.305798684338311 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.541255005016535 1.27155277017483 1.38014433819814 4.69044445556685 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.129570599497878 0.370484705309017 0.0668944854447187 0.443354820640151 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0610154813629556 0.175712547407258 0.0146160810259661 0.102410718281205 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0360174556542205 0.104503323491249 0.00508376493948691 0.037362572785666 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.485627545304931 1.28315032337737 1.18027408239663 4.86119244000737 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.125526875901153 0.386732732021304 0.0634177283206199 0.486149370408361 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0677957909027271 0.186094822455649 0.0186147662830546 0.112968929766574 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0447345184013497 0.111429758480271 0.00822482132643419 0.0401243936925516 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.65655622216493 3.55782511594307 38.1813603517642 32.0719080878888 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.89735378393439 1.58024108616748 3.89530127350441 6.80935492855479 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.456506577868142 0.932184501097184 0.909075762661238 2.55020296892428 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.284921148714557 0.616571358671204 0.336202407471556 1.16897261435262 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.32458775805086 2.30186854008794 9.13961727113118 13.9687768743697 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.265983463297731 0.735745471181869 0.295993870131387 1.69437804620361 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.122090266761614 0.352130245331484 0.0591897730648162 0.404936306560495 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0720251868662304 0.208926826981408 0.0205952264397893 0.145478121687717 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.24492672795476 2.29093561806327 8.61858725708798 14.1232149535736 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.261064516327459 0.762046501655913 0.292381013587101 1.8149502183787 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.13518027636156 0.372355377577378 0.0748088645010083 0.44599741905405 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0891497915805597 0.223045169928844 0.0328789105297489 0.158975825461097 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.0740571288737 9.93035717313117 452.730685093707 240.511671069167 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.27588588110646 4.18886374078609 56.5904457479943 43.6694065959223 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.64080510557292 2.5118743526664 13.5913014795206 16.2697989601936 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.967235306328153 1.72527773651992 4.46995192922855 8.05863395722839 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.01462338408363 6.09284290771403 138.25613751378 92.7225881080874 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.04584826409585 2.0150427107996 5.57513409735857 11.0884764282246 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.403122583047904 1.04789798783443 0.730615091545908 3.35900503284512 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.22251058244898 0.636327874939661 0.207188362866139 1.30618296998361 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.8164500551883 5.96598406226076 134.049897840989 92.0830584207814 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.0450922101868 2.01270548136439 5.7543832057265 10.8567644907877 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.443966449279283 1.07305526841077 0.920261888377281 3.37248949575304 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.269610220597525 0.665875753602271 0.319958043995245 1.34209869498653 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.5362578101406 16.3199435964485 1323.36720305165 639.0843757203 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.77464689781414 6.68221912969361 176.14753556607 108.476125196528 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.96890548858053 3.92183033766568 45.3173512194335 38.0704196221127 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.77031610875094 2.68363142537693 15.6071095951372 18.3668833790433 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.01056303479341 10.0448959647542 454.019145034994 254.469055553024 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.09531285674128 3.19607969437873 24.0692404460725 26.9174933599204 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.811963629746667 1.70109743655222 3.42444234653533 8.29726420996624 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.41920179269902 1.06833846856951 0.838176395323238 3.54198786207544 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.61602511109322 9.75258918828809 433.789849230978 249.760699583615 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.01817842343478 3.11051692010116 22.4361463637852 24.6923366844897 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.850420302548221 1.68713257817772 3.71512377503754 7.691891115361 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.482443141229491 1.08216017437691 1.12125437222796 3.32002036424382 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.97713059305895E-05 0.00012475648087789 3.74731855285654E-09 1.23993367379838E-08 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000119770996864872 0.000407323486503181 2.91089570592448E-08 1.35385322842471E-07 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000249178270880858 0.000852404785810071 1.2358969879344E-07 5.96324078974011E-07 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0005182109614087 0.00169073647457975 9.46235595498239E-07 8.29218643223591E-06 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000215899322109903 0.000136254578350448 3.88945193340493E-08 9.13856821590606E-08 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000859105759649487 0.000619812856132088 6.05649980344739E-07 1.96299571485845E-06 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00186854231923327 0.00137877090665014 2.85612042875136E-06 9.75855736666615E-06 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00367416169765615 0.00345251514267411 1.91815444732687E-05 0.000115557111661799 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00103453620027855 0.000539756295646739 4.44136220576036E-06 1.33323734435959E-06 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000653784726437454 0.000927615158367442 1.75141124273253E-06 7.70320400418429E-07 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000933960826019736 0.00232845090052677 3.30571575672148E-06 5.19237695066939E-06 NURBSSource NURBSSource 26 269 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00167274876376564 0.00458418322244817 1.23871111933647E-05 4.03743883237042E-05 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.228239570151112 0.129355980170069 0.146311650405084 0.0408429797191837 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.097904374790999 0.0527427677053212 0.0258640427821719 0.0072785052845096 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.056044882924932 0.0293223660312164 0.00838692774611394 0.00226692074863875 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0368204329888404 0.0190719614341387 0.00358968037329481 0.000947800106472249 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.15722629956924 0.0688600668793147 0.0689641292962611 0.0130374652529287 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.043908138989164 0.0189988939477381 0.00512042371856344 0.00105723158228196 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0205801067205393 0.00903462168431013 0.00105977328033715 0.000257511051149913 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0125658746687843 0.00680587790181111 0.000343160465496746 0.00022115378759556 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.135079619344001 0.0639389399511995 0.0511496041300958 0.0109887949795914 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.040517739889081 0.0186104465433318 0.00452251077349124 0.000945289146626042 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0204919306397072 0.00948234380311551 0.00117287912934847 0.000216567810492512 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0130967642351564 0.00759800390068291 0.000488321454365498 0.000120625703632017 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.450318284707904 0.265905628987651 0.59455390420261 0.159209355446002 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.195092815107628 0.106088163148797 0.104561079754125 0.0284984477583743 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111940940919473 0.0587602812240074 0.0338057913643295 0.00902367581552456 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0735828597596122 0.0380152025939741 0.0144687152678086 0.00380169999469114 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.310500538093492 0.141486468244592 0.276771378227657 0.0517112142016806 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0877032995110539 0.0380816045244036 0.0207269254612389 0.004141352733464 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0410313161804358 0.0178672940102559 0.00437534854572339 0.000959896135494684 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0241676179404851 0.0115521793985078 0.00140713843227161 0.000492640568090122 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.267831681444672 0.13001783837297 0.205777913263222 0.0427737900556505 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0809395655437708 0.0372572621759679 0.0181185828629919 0.00377713641151966 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0409164800018755 0.0184628662938385 0.00465947159404107 0.000893446548697202 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0258841436420317 0.0124709899236443 0.0018884037812938 0.000374466750258157 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.874277288918332 0.563831051725651 2.3923379289919 0.647350165552104 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.385749742139218 0.216545105643834 0.422153324257767 0.111895884778205 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.222854894504832 0.118437477765635 0.136491226563854 0.0355136568698454 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.1468458277544 0.0762391153081694 0.0583873067344126 0.0150970501184552 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.602110584066255 0.301976404491899 1.09467566676302 0.217440158763787 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.174716400671242 0.0768538275197113 0.0836727190144425 0.016297403434122 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0819456072309593 0.0357039636282997 0.017865230429622 0.00369595541497666 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0477851704416487 0.0217147630452032 0.00582378578741637 0.0015129791204519 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.522228324684661 0.273417611614863 0.818551545715688 0.174885908182436 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.161186526643192 0.0751033377050476 0.0729021155625546 0.0148836301790781 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0816732737541972 0.0367646955178933 0.0186687961407318 0.00362425031953681 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0515564395546985 0.0233590147816738 0.00749160096421327 0.00142773737219791 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.42834995397151 1.94527339073498 21.2172020549312 6.55111476178472 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.10131472856696 0.710778219072257 3.7764918249219 1.05642668289247 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.649496307088391 0.374502273595529 1.23309479889313 0.321111367868406 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.43323014839942 0.235619279223553 0.530579014263589 0.134230522792178 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.63670723286113 1.08231960908061 9.28338997860622 2.38266722357447 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.510033282638212 0.245252776756734 0.750603373256697 0.151734704436873 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.244108806765498 0.109102204903237 0.164151940603896 0.03224725836974 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.142545091326725 0.0641193169529246 0.0545097549773067 0.0118354757489884 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.43657361794926 0.957492296453574 7.04236461576037 1.84183771081709 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.470088014298352 0.239084171287145 0.656731703463248 0.135476995545272 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.241925861623794 0.112864522865436 0.169707100677202 0.0323002845934933 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.153263012550607 0.0695212182053122 0.0678744087758267 0.0126770306539204 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.93127845118335 3.42701482654124 59.0087527535293 19.2345039440395 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.76619622507501 1.26246489697325 10.3196364890633 3.1194368833992 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.05189655472406 0.656125956839817 3.38934044750263 0.928897541986319 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.707488993664423 0.407225635704371 1.46650829043365 0.380645509499464 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.58498197286093 1.96341324353211 25.0914585139172 7.29464735457553 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.82620448609215 0.434915118394795 2.05572554315193 0.452323209318654 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.40267220774214 0.187199612032315 0.457652651308725 0.0910109183885905 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.236874308067246 0.107996529018605 0.153739057563081 0.0322110294224158 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.2766562083033 1.72909540615075 19.1074661382357 5.58308286841796 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.760947023554989 0.423238928262197 1.80480846376994 0.397585168437516 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.396831272670161 0.195163109789195 0.472147622090463 0.0910050016834465 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.252927197931113 0.118358403856463 0.189857830917754 0.035026020119418 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.703424484910643 0.442691295615053 1.56056140501971 0.42588163528642 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.306363235085559 0.171005299522235 0.273296117313739 0.0737860276026973 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.176424651105349 0.0937327276685729 0.0883190431013093 0.0234055751644912 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.116138326170401 0.060402659729248 0.0378119573918541 0.00993124597609506 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.484496867830759 0.236678456801345 0.715611855939511 0.142880546110377 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13780187567313 0.0609687974566575 0.0536471142060264 0.0108839917944588 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0646390848001647 0.0284061987566562 0.0114684883772881 0.00247927112726153 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0378002819523192 0.0176016573758615 0.00373496608632006 0.00106254925148333 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.420277176887227 0.214977988189217 0.533890669773597 0.115379090216344 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.128797737721472 0.0597367241851909 0.0474501748191266 0.00997030270762457 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0653791143829126 0.0293867063510515 0.0121294079292214 0.00240989388800262 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0417496421896825 0.0189931781796453 0.0049663220396891 0.000957003049505365 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.34844655705158 0.960014356604955 6.2045716975307 1.81403842348698 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.599426603101468 0.356385975515428 1.09451917435863 0.29829071812549 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.348981851173848 0.191250594703636 0.355281815388238 0.0927108069462613 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.230970082175623 0.121924550150684 0.152419255662268 0.0392380581578871 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.923295088925007 0.519855782692944 2.78577543837449 0.635168975273198 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.273052501682862 0.124521221549708 0.2155042300368 0.0433350259794975 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129015078891598 0.0569763027799259 0.0466186144456238 0.00962718782251942 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.075178894780676 0.0341550534499181 0.0153720316779185 0.00369445220405966 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.806523243273083 0.464792070858684 2.09562864980729 0.498149772425491 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.25528590333797 0.121684922431887 0.191065557961134 0.0392108924047315 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.130223094145362 0.0590004990725376 0.0487971279522317 0.00961274031985088 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0831804118102417 0.0370979067659893 0.0198773796460286 0.00380059884549204 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.56812573122235 2.09825987536178 24.6102277564381 7.89356881322735 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.15280459717159 0.764684486214412 4.32384239345258 1.26776459400825 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.680182548466618 0.400952547653314 1.41350414356694 0.381185467123815 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.45441613147027 0.251246765626093 0.609871706582666 0.157900400526419 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.72303198784296 1.1686045995469 10.6863579054112 2.90912934242412 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.533262615793394 0.262511121650868 0.854614519156866 0.181894288317194 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.256322811220975 0.115938321133395 0.188404705467493 0.0381196306718458 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.149906197035407 0.0681658547182353 0.0628683321642278 0.0139292735620489 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.51536424474543 1.03359055071457 8.10159310679946 2.23549861404071 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.498453851593336 0.256397223995993 0.761719076447467 0.161443397370381 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.25755226029144 0.120694925445846 0.196538310442266 0.038131101983941 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.165009883810638 0.0748036081666092 0.0800332925907141 0.0150750871405071 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.39774093564707 6.92601381550141 225.279260969639 77.8705852993389 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.18214104927424 2.6175318088195 37.5617776696587 13.106142556177 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.88978999205676 1.36258662383369 12.2162413802126 3.91283605601442 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.28077569115351 0.836634788314613 5.31558010849966 1.57147131277201 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.71808168798957 4.0910156623441 93.9412165940025 31.0977754415848 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.48518476476878 0.926973801878208 7.42922164608527 2.0221633875914 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.742798774968403 0.385998760038686 1.69988902184011 0.385499172326051 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.444756682638585 0.216030461899046 0.585910171649064 0.127732448688751 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.15522029930057 3.61463158537242 71.1106805377192 23.7133058004182 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.37979869798261 0.902993520011216 6.60633106153782 1.72574260951237 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.734704407229549 0.408420308041915 1.75820993362119 0.378812201687309 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.478871466556943 0.245426722831842 0.730106565423769 0.142004281098244 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.2690466428297 11.8170384128507 633.618734793778 221.27995306292 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.14106594478711 4.55846363436937 103.204210687896 37.9011402026384 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.0130121838405 2.40687360400853 33.0023548760569 11.5415089400298 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.04213428584608 1.48065223179681 14.3040555197514 4.65949861299571 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.80283996042902 7.17799547898007 269.531976476176 92.2445760257615 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.38930947016344 1.71346025223829 20.8588762190606 6.46841374075134 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.2136551269239 0.70911237648887 4.82942142817802 1.23423154550327 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.737910615108561 0.388015352338741 1.69410424076021 0.39154832873958 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.84046090534728 6.33136988228282 202.193318372575 70.0051244621608 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.19623141403873 1.64246108336207 18.0675594902545 5.30542324926255 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.17939122205919 0.746513248035855 4.8582130166012 1.17080830965959 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.776328427237925 0.446946863660664 2.04533532067695 0.432792142275434 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.000114398217964123 4.38729218589354E-05 3.68827993568232E-08 9.08145617133018E-09 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000393940771154398 0.000135897445862696 4.56750128503583E-07 9.05541840841193E-08 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00083329201919711 0.000281556752596913 2.05866086155605E-06 3.92641602135568E-07 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00148022427404015 0.00050923926227622 6.58943038359337E-06 1.34753530506356E-06 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000353299990402746 6.97622231269818E-05 1.27007684164674E-07 2.13479219072897E-08 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00143442161665011 0.000238302050048865 1.91437506700415E-06 2.61114827596331E-07 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00313033841359145 0.000509729794111474 8.98885735196726E-06 1.20260497715211E-06 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00555134704990124 0.000963053369267566 2.99645227219485E-05 5.09653890831446E-06 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000719277944706774 0.000248165284129066 1.87599834669726E-06 1.45588806932953E-07 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000972265942449171 0.000229862212464207 3.17726182818876E-06 2.09699145376339E-07 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00178776917403459 0.000556719655003631 1.13718970355727E-05 2.1090695684246E-06 NURBSSource NURBSSource 27 270 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00334111428499999 0.00122261743613363 4.32437290529794E-05 1.15905105968419E-05 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.247784406573567 0.179603939488144 0.191277279233154 0.0834519759996637 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.1030677951742 0.0744416851339766 0.0320541000842124 0.0144876398841462 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0578319553354905 0.0418494424151665 0.00995752287075834 0.00459496592481059 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0375546768259431 0.0272024347097096 0.00414610841700175 0.00195718110486174 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.141417090573147 0.105406519087363 0.0605368755219927 0.0290186369845557 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0395118809656972 0.0292865194625899 0.00446300924710275 0.00225081993488699 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0187951753985187 0.0137723182347326 0.000921599013094699 0.000504852078377809 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0119500747517916 0.00812200753772218 0.000304643660068783 0.000183759978929438 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.133342922606962 0.0984096153657353 0.0569293762378246 0.0249503554191672 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0383384410498752 0.0284279794192266 0.00450531251423154 0.0021193767794549 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0186982807719221 0.0139172765326232 0.00106633428311456 0.000526718176835329 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0118574202260117 0.00874059901829645 0.000422396313777839 0.000226233458360315 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.493300879564975 0.360835755369773 0.773699614528818 0.325987235153798 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.206036424803598 0.14893940822164 0.128956076620433 0.0574066362138737 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115635627083295 0.0837043360171297 0.0400142538662888 0.0182523460109665 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.075061315102362 0.0544009990239599 0.0166811021610935 0.0077525215672944 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.282443223184645 0.211083136788644 0.244541112687474 0.114288591977846 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0789963472198933 0.0585730110589068 0.0180950010323495 0.00895759405192195 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0373236740456855 0.0275287851081095 0.00384863897596414 0.00199515902340271 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0224511130264534 0.0161319368785496 0.00124777161555755 0.000700349979546847 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.266366847845093 0.197038528607219 0.22956235533042 0.0981004383445295 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0766593250224105 0.0568555074233235 0.0180240946017779 0.00840620247160143 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0372631423123877 0.0278112405326011 0.00421133588231138 0.0020661415120013 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.022837852838884 0.0172384795863446 0.00155208676794087 0.000836703946303074 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.968260459375157 0.736048461521966 3.08794187093469 1.27150067490641 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.411207936826412 0.298582974133848 0.519904160020722 0.226517387434811 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.231148130751298 0.167487636697748 0.160976039499886 0.0723399580464344 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.150067338730041 0.10881450067707 0.0670855447394807 0.0307460648394554 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.561746492457153 0.424803460763112 0.989686494219189 0.446869248844393 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.157958984294034 0.117177950404653 0.0730729516061689 0.0356049446654566 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0745201063369697 0.0550533597863097 0.015807461867742 0.00792331260368517 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0441687277800489 0.0322103057880099 0.00524447630803853 0.00274244565445684 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.53000502650705 0.396433293492965 0.927777813175383 0.38222341167585 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.153268934805342 0.11377487425492 0.072493772377914 0.033208502564106 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0744495739036538 0.0556257978850524 0.0168388280364851 0.00813662339386348 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0451752303289042 0.0343705204532655 0.00608711077549468 0.00322693161380816 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.7261881078618 2.39877039806882 27.1305907269797 11.8782073993205 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.20630667474888 0.919383250515298 4.65099158168141 2.01148567081552 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.68956342359289 0.505736968054178 1.46364177218549 0.638278142453366 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.449091235109258 0.327230185839808 0.609612379359221 0.271995565272869 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.6174771960056 1.33859876042294 8.8515195431028 3.98234000166035 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.473081022833988 0.352863364884276 0.668034005874925 0.315793088401911 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.223614039720571 0.165353268836517 0.145866822539728 0.0706365806196316 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.1319261576481 0.0966818845928074 0.0496516569422569 0.0243097781374943 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.52247326818584 1.25694786048847 8.25806562704065 3.46261210823727 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.457868777506451 0.343534157241437 0.665401897629596 0.288956310196845 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.223031323901298 0.167378495748445 0.154177959019537 0.0708118707764408 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.134950874946124 0.103232288157913 0.0554227280058222 0.0278642979106961 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.47089933482044 4.13998108182141 76.66350477533 34.0411125939917 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.947882632564 1.58914540434379 12.5513224600611 5.73649247650562 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.13549921708148 0.854824923641001 4.03672022186634 1.77063750578287 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.745144019209502 0.547989844058641 1.6977937353046 0.749100941746676 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.62994398663285 2.31809270527896 24.7156485053031 11.3588509348237 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.786317207423248 0.59248076147551 1.87339609400944 0.873192443972896 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.373236940143775 0.27627523789942 0.41031589916354 0.195504906533114 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.220185474802376 0.161451588371427 0.140388670088955 0.0672971349194902 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.47257711929144 2.18034079355733 23.0974809996464 10.0022068932176 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.75725183781343 0.579482775559511 1.86703979713381 0.79069262498696 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.370887272502037 0.28049278817165 0.435214678971242 0.192395652698002 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.224620400015323 0.172707146267324 0.156656200174395 0.0756443553202288 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.763375444213048 0.578513237464289 1.98378864103333 0.849071432608197 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.319455391948004 0.234192044932434 0.332452661247909 0.149776975397613 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.178826374006921 0.130887536841508 0.102885439243619 0.047558000975085 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.115860688033884 0.0847963529096352 0.0428719673436224 0.020137317386631 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.441712076386701 0.33255637870799 0.641559165415376 0.294457609110558 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.12218876668878 0.0912132655771898 0.0470033891034623 0.023350645459547 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0574231201318659 0.0426504116955218 0.0100719279807519 0.00514143804789631 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.034338796467869 0.0248431271513527 0.00334457464327559 0.0017723003915466 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.416601791382812 0.311274775493796 0.599848565896542 0.252985973494688 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.119680932407078 0.089374960149831 0.047131955692077 0.0218906375424626 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0580977531763877 0.0440414920235937 0.0108714858117711 0.00542101326856799 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.035631596512232 0.0273631805564673 0.00398724285879382 0.00215698100301671 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.47308944191494 1.20424316460082 7.77482903840624 3.41158008430874 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.63539126438787 0.471313083602399 1.33807415287143 0.590328888601847 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357166438896339 0.262181192737564 0.414353392910638 0.188135330800379 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.231563842971681 0.16969727491181 0.172478663701011 0.0798095415293412 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.870222965763379 0.67562307965688 2.57747087606109 1.15428306079124 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.244274627748159 0.182578249061802 0.189655037081114 0.0926869492214832 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.114745301857607 0.085321695866943 0.0410206809305079 0.02044411330004 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0681060966840912 0.0496593623892046 0.0138895634764424 0.00699598227133313 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.8203185495755 0.633766831237466 2.39796210308603 0.996638806394259 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.239071103597123 0.179057219173516 0.190236585047022 0.086094359249259 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.116104369401935 0.0881385225537444 0.0437241852878721 0.0213177546926584 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0708729414505544 0.0546855202934797 0.0159019753619165 0.00839480776060174 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.84680820469569 2.54590455696556 31.1794067286106 14.1260600282404 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.24126812493666 0.967574692822707 5.24528886873713 2.37993696076437 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.710094456285448 0.527885240345005 1.66305355696139 0.744423442590717 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.462044664736321 0.340163532623306 0.694026165647374 0.315614444395301 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.68460448662221 1.40971679936393 10.238056247852 4.68133886019556 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.487716431719797 0.366586322132582 0.766144793777368 0.367607736728373 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.229579817571306 0.170869921359814 0.166398359007768 0.0813420791235545 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.136022696381483 0.0994036728007037 0.0570365018509256 0.0277711145516372 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58721603159446 1.32691730577988 9.53420989517975 4.10527992302859 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.476113741967457 0.360607715153618 0.770828009814044 0.336944615314662 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.231854592742418 0.176727107678843 0.177364719207351 0.083264324182697 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.14146317366172 0.109527625039944 0.0644292948540293 0.0326757017745385 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.43577081304345 8.14870608550981 295.781296210927 133.691181595182 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.49343512194789 3.13582730828713 45.4404256636756 22.8433907890773 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.02544874761569 1.67243286201774 14.1847944266573 6.99590435452215 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.34934494498324 1.04895800679808 6.074803366874 2.86503613446281 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.90946286100702 4.60309175953756 97.0172438992242 45.3474275429032 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.44225047802129 1.14562041303631 6.98796291415177 3.41983715670059 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.694031857656589 0.520791424818947 1.56052796542862 0.738073779102778 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.412030317401373 0.301890437990822 0.540657332241857 0.251144907570487 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.60996938663237 4.3296769212944 90.2311893809007 40.3522228467695 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.38579877742767 1.13890592809924 6.99868531307673 3.07198015189047 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.68935577497481 0.543196592602034 1.66326710950067 0.719556910218909 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.422874669368017 0.334143108932896 0.612194410672602 0.278705878444963 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.0934778406676 13.8168210062721 839.418439026762 375.345221573793 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.71393931354854 5.36433903792636 126.1649886962 64.2803379451553 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.26105368073404 2.88008976799781 38.2491166557205 19.9028164643344 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.17088195135522 1.80316507612085 16.1207456719768 8.16972447707276 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.28114074557723 7.99161383267513 286.656479518617 133.476325145611 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.38194718982532 2.02321322736796 20.0188759871622 10.3542542530322 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.16942970642838 0.900997709701686 4.5395541708715 2.17571134521665 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.700035488412313 0.51712146738685 1.59801545544274 0.726562690841761 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.72017543646651 7.45033864814858 262.143254906103 116.814155052446 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.26576249187361 1.9819434087274 19.7617310885101 8.8910741814731 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.13739747882557 0.938766966039364 4.76313544009285 2.0194803092937 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.704420300379438 0.573282653621176 1.79213396342906 0.76598746552972 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.06078735610903E-05 7.92309223611212E-05 2.7622643849807E-08 1.05090693569301E-08 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000225167112372079 0.000111935577591183 2.61324182866353E-07 2.11911019415836E-08 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000470137731521151 0.000208177616152159 1.09182254483169E-06 7.17740828837602E-08 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000849387941701605 0.000416973518722938 4.08501171368187E-06 9.99663157144433E-07 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000152235816128268 0.000235003154104937 4.62960926015339E-08 4.26013642476023E-07 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000599317177915641 0.00100635140437958 7.53152376009906E-07 7.79095753829748E-06 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00133593980494388 0.0022568421338175 4.46393593615327E-06 3.98257165669093E-05 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00304518221989584 0.0049186143207968 7.88640746281429E-05 0.000297622257113805 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000481049444548742 0.00174503835822918 1.63379192982471E-06 4.15090051940233E-06 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000726984810004719 0.00161074874466336 4.25139815724088E-06 4.21750251126799E-06 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00159168649180449 0.00261896318074112 2.03149533873691E-05 2.41021684740424E-05 NURBSSource NURBSSource 27 271 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0029242165323631 0.00464317282436005 5.63099983611809E-05 0.000109350876117608 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.359518210898001 0.28682757797979 0.405578935566909 0.234642793118985 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138304242160824 0.123841088991047 0.0541999947496018 0.0485937770396992 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0773090368370243 0.0716455044594745 0.0165608778446189 0.0166646278651032 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0502217554646449 0.0474681577971615 0.00691084212441835 0.00738070108380937 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.210821803151349 0.215828488284623 0.142476395385913 0.142365387266025 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0577641380594281 0.0601905619584196 0.00948164118639039 0.0119259092291919 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0271042816754484 0.0284008281373655 0.00198838164656578 0.00276906158572749 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0168849973005623 0.0181744339849306 0.000726559870871094 0.00134759419102621 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.20207848014762 0.185702268115193 0.126919046072655 0.106427933842412 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0568127879270435 0.0563665599246585 0.00921591763596143 0.0102951001813807 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0274470043767002 0.0293717233625751 0.00213195737772395 0.00273678270837611 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0172316650172201 0.0197243839834199 0.000824874860779251 0.00120903392759495 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.70283942110092 0.584871736156933 1.75835358419164 0.888328527010436 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.278180576992638 0.245902798723172 0.232970778363933 0.180851626866198 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155043223697553 0.142837764060481 0.0689747949941623 0.0642229724377941 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100537157339282 0.0947805955416622 0.0283578186858779 0.0288819976955665 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.426689519181386 0.426618673917816 0.659747523333687 0.518246762144614 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.1158762401982 0.120007865430645 0.0399027375442518 0.0459036915636692 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.054099616477635 0.0565418334675047 0.00819831395349649 0.0106119293841223 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0324242245537529 0.0341422131588302 0.00277012292232915 0.00418434624898362 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.405625360601001 0.369812109882655 0.570330210181501 0.394903065062962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.113839743202331 0.112440313431575 0.038334736198641 0.0401719728209052 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0545676797447754 0.0583882016965189 0.00853274825616278 0.0109256192440414 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0330669050736083 0.037893025713763 0.00307821376177408 0.00454592399944751 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35323137581308 1.21143378742956 7.65016053654211 3.42016051102228 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.557995131322201 0.488458992533156 1.04017566369967 0.653338420736851 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.312469196617121 0.2831197820722 0.300509080634475 0.23683911539679 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.202042508360706 0.188523178520378 0.120231234119129 0.109585807455731 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.858671591701365 0.847484215584145 3.08204798922597 1.90504265714002 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.233765625925753 0.238061996301964 0.176381389134945 0.171262734914427 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.108429881204523 0.112697920200073 0.0344833637291376 0.0406689116473778 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0638588272953999 0.0667863966630362 0.0112923701850815 0.0150184787217519 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.806820585833633 0.743126674078318 2.59921962340322 1.48051570791688 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.229101257564993 0.223392139013252 0.167297294757446 0.151180940966884 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.109267611886971 0.116274925826914 0.0354858478739725 0.0426704744622076 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0654170284970301 0.0747828988590097 0.0123635535679091 0.0177397548598812 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.96683992632753 3.84546255755992 77.7029161861352 30.1469627467873 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.61715557510115 1.50317458829266 10.975988957894 5.26081023902766 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.933718717498638 0.847063051114698 3.25532850848155 1.83568413967769 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.613157239089809 0.557058897747168 1.29860080884367 0.844306297720432 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.5639375963343 2.55261067252339 33.2649296715597 15.7817664312576 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.71459651885882 0.703184298415779 2.02429125370413 1.34068360389455 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.330746849417873 0.33357027860761 0.371462630321795 0.324363971449123 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.192063021910638 0.197699582321248 0.114213866943673 0.120528378173416 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.36386727307135 2.28085129371018 27.5509489797176 12.554994744069 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.693947003785432 0.662494706303953 1.87874641431912 1.18825909444741 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.333600718169429 0.342637501950542 0.3826933462904 0.340083146456445 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.198260882097257 0.220776298245257 0.126151809396933 0.146242181294529 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.63477101119915 6.53033831246883 224.479252712486 83.6696123758287 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.66257653745176 2.55112406072042 32.3689406972668 14.2384475073849 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.5299238126542 1.42915510902531 9.70886291415155 4.87492196448617 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.01343251344924 0.932146368046496 3.92239006687558 2.21092805716765 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.28117620585009 4.28043627895545 97.7775437248991 43.1067130297102 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.19590854845191 1.17453825860532 6.26492420297037 3.57302920696743 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.55824133190323 0.552965680814388 1.16910230665317 0.84525357112801 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.324034349925638 0.32744457893226 0.353484503566499 0.313277072374042 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.92853179377094 3.84632776086769 80.9704435530013 34.5181144632028 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.15050569024952 1.10768415799389 5.74857109043549 3.14593472942605 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.562071332091535 0.564584016620099 1.2039000586781 0.873300396185755 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.335502467226519 0.362708647905543 0.395700127689719 0.37451213195854 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11541511141773 0.97962084107309 5.08378155469359 2.3740334673647 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.454702085997497 0.401010807897081 0.685880302302791 0.462705722692384 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.253386985098653 0.232332889895917 0.198165917421439 0.165692112051498 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163938427024582 0.154660300894164 0.0799829847758029 0.0760052093110758 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.702989309041973 0.691306893915893 2.04025269946615 1.31718414879296 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.190024303943042 0.194821686100161 0.116933791661645 0.118547102250897 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0882937882465167 0.0916567652657454 0.02320190639449 0.0276093318644273 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522575879284441 0.0548704410455817 0.00764440191444689 0.0104539925096684 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.662754519161959 0.603680246739815 1.72201927572693 1.02482287711659 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.187040507367181 0.184197663737265 0.111755727312885 0.105652436533151 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0891136437978186 0.0951002211197393 0.0238782534641696 0.0289006444628242 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0534079871283279 0.0619861108184475 0.00834802141176718 0.0122469373698371 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.1691837557812 2.03516741407856 22.0686898397991 9.2945445611461 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.899753433466496 0.80476032196716 3.06528415826779 1.6968671261312 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.510416385459036 0.460172172527838 0.889089691654698 0.602066111534311 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.330805692180322 0.306231992240171 0.352417258315021 0.280193581297553 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.40331650025391 1.38212122069709 9.30128474084798 4.95187024974387 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.384723989460692 0.385316087416249 0.538221209411482 0.435714380202104 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.177703284708704 0.182272162679187 0.1010887000391 0.104083263494824 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103987217618979 0.108502542101287 0.0321768549006917 0.0387896646842756 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.30613936324601 1.22386190784755 7.72058783882666 3.92769124124757 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.377738552211651 0.364715017726595 0.508927840189037 0.389513107813037 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.179435979300296 0.188805489407048 0.103490251133913 0.10984060320895 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106799161462694 0.122868301077567 0.0349455726306365 0.0473413614019133 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.31938660999682 4.20607147674604 94.562122681474 36.8954541128075 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.75801067516583 1.64383188919131 13.4876356220155 6.42939320902445 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.01138284994978 0.923609321052756 3.98773663930646 2.21907035721235 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.664822291023094 0.607729526781816 1.59747708335264 1.0194787436264 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.79626647580224 2.77661630876941 40.96256069618 19.0282631212357 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.777403729400301 0.765282868203429 2.51857752217389 1.61613733278653 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.359969659933612 0.361416739538479 0.46463202318388 0.384215542904897 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.209453222462296 0.215354018159678 0.142567583052459 0.144122395967315 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.57547842004332 2.48851188467994 33.779799359662 15.3176051266723 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.758599575815036 0.725481380664111 2.35792582680527 1.44223971489648 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.364149137084219 0.372153800920497 0.47748587323079 0.400418512369432 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.216380668765605 0.242457339455514 0.156744881573054 0.175578948546744 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.1203037519459 13.0490279149381 909.763219267651 332.463460169977 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.20038006433574 5.10177320283256 134.57088781306 55.4502005435589 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.9423036616424 2.84353970014085 40.8217588144134 18.4806611770766 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.94070368441079 1.84809265742347 16.7573361931925 8.25754285048175 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.4926061896545 8.47605140399376 408.279062418012 168.514488409577 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.36489263595366 2.34028653400833 28.2424492260671 13.9887190970067 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.11328187436627 1.09590064959205 5.53128783668933 3.21292217061252 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.652788048551012 0.646995627239908 1.71151081148469 1.17246661025235 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.79037776853712 7.70934947125038 340.093552534324 139.502534476158 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.25451228987821 2.20118188843679 25.6020991097326 12.0541590738299 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.10764764282153 1.09802956127238 5.54886987829618 3.12734770217894 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.672741326610398 0.702563831275756 1.89757968997774 1.31623432203663 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 22.007524084974 21.9739475739411 2577.89729988654 930.321156782879 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.64651766232442 8.56534871263441 380.647965998536 150.810911058981 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.85453783931794 4.76798088721396 116.302242629299 49.574712577263 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.18195014750838 3.09412001709579 48.1408585872968 21.9118972720057 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.4213147432627 14.3961891132645 1193.23244720439 478.745939089806 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.06340358161956 4.04345280952155 89.4125661221948 41.1765132112405 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.92432934898217 1.90404920496228 18.3149437818623 9.45380226024978 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.13528146177092 1.11836862790341 5.82722264277456 3.40303874306803 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.3269016897864 13.2408937025584 1023.06944432927 412.569043940086 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.78671072432106 3.7248837734934 77.0607161335853 33.5576172301624 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.86108308398445 1.84167757646793 17.2727111028201 8.4371458127024 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.14135012309362 1.16484690906509 6.12869843672986 3.4543137800482 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.0583024645663E-05 0.000215027955964536 3.117328471437E-09 3.36812262799686E-07 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00016282023270517 0.000705761492740027 4.18930604754765E-08 3.60699653246754E-06 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000360585934581563 0.00149409162727177 1.92736858566884E-07 1.61872959697541E-05 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000644501055285726 0.00261606987558544 5.95116223619741E-07 4.85433741051157E-05 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000169608669477478 0.000766945432594423 1.88205923421358E-07 3.23282433195966E-06 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000767603512855434 0.00306881886074046 3.88619141091295E-06 5.23821684783002E-05 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0017045272787159 0.00666177341452047 1.91671899500243E-05 0.000247446383574151 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00302835462869304 0.0116656261740571 5.89612102942016E-05 0.000748449064322058 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000694377343212033 0.00067717350317251 7.47853869146806E-07 1.69817616191102E-06 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000841348469041109 0.00140422742728861 1.29377460431674E-06 7.91794012238396E-06 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00141205252574273 0.00292754641980055 4.1789347171484E-06 3.47006044061334E-05 NURBSSource NURBSSource 27 272 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00235226412486487 0.00527746085585608 1.25035646936099E-05 0.00011026315711004 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.131380124493185 0.364969999210515 0.0644336430102113 0.491091009038078 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0530583533223474 0.155724606825323 0.0100617091441419 0.0912783912028916 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0297438062650911 0.0870870643011918 0.00312162474129419 0.0285960017984868 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0193677417064876 0.0561798283140355 0.00130329081982914 0.0120043814629418 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0809211774656924 0.194795613389144 0.0245717800663493 0.132149661193273 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0224992077943117 0.0541332258183493 0.00184695733946116 0.0105184457737004 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0107597183401754 0.0263723712262511 0.000450345020564301 0.00276917507838465 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00706001273642156 0.0187957309849753 0.000226888546115547 0.00169491344177634 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0697211483295242 0.184075739583429 0.0176430176527157 0.123774309509754 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0207729236155052 0.0532136607340004 0.00153022394617452 0.0100979054723471 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0106189401736898 0.0263907479362196 0.000389983721249988 0.00241833784229834 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00707085522248356 0.0170101204011258 0.000161568866236336 0.000992356208572517 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.27440198423119 0.717141664674693 0.304421638285557 1.8272503479794 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106674821776553 0.310847653235583 0.0415641055697527 0.360910952392811 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0595924966648659 0.174052916423638 0.0126994208405076 0.11337670527126 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0387555768747106 0.112256866168564 0.0052983663836538 0.0472942863041051 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.16254557287876 0.388812138537175 0.102463307730355 0.519086481163455 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0450066273513986 0.108146979828716 0.00738175297176438 0.0412675452540287 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0213480711641296 0.0517166648322383 0.0017040614464638 0.00995603255788451 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0131727273932313 0.0323895331707289 0.000705142102320092 0.00441483535161417 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140407068994234 0.367049713817756 0.074157554801836 0.486733627450705 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0415617556380083 0.106375588503576 0.00624886757354694 0.0402151933768304 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0211138184096595 0.0525689922519579 0.00160180740131671 0.00955495775115291 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0135654733390552 0.0327618958286893 0.000643200016836402 0.00362818195361362 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.643179104840455 1.33381804382741 2.02393842238057 5.70641181319608 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.219325054451758 0.6153430595808 0.185068662988024 1.38266834782087 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119917043210261 0.347305055470154 0.0526501360261596 0.447287305965926 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0777067780260087 0.224256360768687 0.0216748343501757 0.186894959371863 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.333914380091817 0.768393533970085 0.464312742660539 1.95814420747422 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0901683615312877 0.216164703854747 0.0299559287992289 0.162805515820315 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0426374782722742 0.102957065995983 0.00670428454299256 0.0380593413847875 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0258802824222206 0.0620855675314594 0.00257349183559961 0.0148103734407188 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.290865470050458 0.723086156858278 0.343646960361295 1.83058730627759 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0832841872055356 0.21254641516477 0.0257060001963652 0.159503803557971 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0421860650023127 0.105018743099446 0.00657780184332936 0.0379241484571132 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0268440002911901 0.064852923985625 0.00264382895460975 0.0141066032440241 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.51654757878539 3.43052060022836 36.5965754080822 34.5865671941284 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.850751337470765 1.64253159496606 3.73464376595918 8.49999404669937 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.40204348361367 0.997108572689498 0.692192780690666 3.40665787355536 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.240980931309526 0.664080418920715 0.223169987000739 1.58807570600401 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.23735223841152 2.07410281827344 7.84960952561856 12.4031979079753 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.274942091448612 0.646030789879462 0.296195458145021 1.41435223984922 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128459059738073 0.308906709378797 0.0617910567189363 0.332225074871838 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0775008541174611 0.184224433317545 0.0226469714013998 0.121767422558261 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11683906733465 1.92699768930283 6.52408977672231 11.2040433581233 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.255623091606248 0.630914109739654 0.261862026196502 1.36603565017964 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.127060386579286 0.314232149832964 0.0630255568280276 0.333594541896635 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.080388156798789 0.193771791216682 0.025195625293196 0.123829884171362 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.52707149123274 5.44647099399245 120.417225199966 86.9437893211461 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.61190983897486 2.53328529765557 14.6085545564846 19.3829814789939 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.77223488547781 1.55189278365677 2.97330926193853 7.63510345895963 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.44101126125326 1.06353831028235 0.841054941845034 3.81982109545759 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.30575037273894 3.24491491656557 28.6665230334098 29.3013413360623 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.482343113508396 1.05876719066736 0.990512144301481 3.63811569816159 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.216190339806309 0.516037004054902 0.180424212179344 0.915953203271428 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.129848289701929 0.308019725451006 0.0645547688550673 0.335010056256476 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.09119130284303 3.00430738940385 24.3245527858152 26.2389097535626 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.454826851391337 1.02081754702543 0.906887932137305 3.39364124033036 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.214054568446156 0.520571333087535 0.187209394449513 0.899034305120707 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.134304552810843 0.322227715688677 0.0730326174671959 0.337250346120358 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.481752744250981 1.08777984792781 1.12821635977933 4.05093884821027 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.170663015757464 0.488720272542282 0.115374312510491 0.916703351351718 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0938124490523561 0.274382009417249 0.0336068697014704 0.293196433315877 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.060723599356462 0.176934790655938 0.01387291563609 0.122435731582239 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.258379336760755 0.612409791314081 0.284087764831954 1.31914566137032 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0700894312417131 0.170667482144724 0.0191419122808692 0.107568954228849 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0334299998666759 0.0811025514788147 0.00439015223581637 0.0251463649005862 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0204228212936654 0.0496406241815677 0.00170468349850463 0.010087768891498 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.225554829890925 0.577745732845932 0.209626540947452 1.23216249604941 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0653284257316896 0.168290773188912 0.0163051205199475 0.105136972210829 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0333304259184959 0.0829232775956605 0.00419751492218254 0.0247930229294459 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0213696588563513 0.0516071095334038 0.00168716521947774 0.00925088169899493 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1617600348431 1.97100282009222 7.64666913202759 12.2459621092282 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.378121152721793 0.938054511316659 0.662919988307159 3.15066284885745 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.192260306184542 0.543780854768825 0.149048921421154 1.12793080978169 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122451947751159 0.352704988229615 0.0580838032655074 0.480996284737409 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.566726601122791 1.1736522921149 1.56707629563755 4.47785509732704 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.140872243122027 0.340890449393694 0.079270309061741 0.423949927731236 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0669458162687598 0.161798405899084 0.0176306264983249 0.0978835930489724 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0405614933223095 0.0974028665141863 0.006557582469351 0.0367862784688378 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.503848437204715 1.10127867403149 1.23093423955427 4.1207053343919 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.131412908842555 0.335641415724054 0.0682737599354028 0.413697762205202 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0667414336061959 0.165604440091853 0.0173087794662552 0.0981895263538527 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0425740450032312 0.102660271203362 0.00696073457395904 0.0363745102608313 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.69727425197618 3.59861667528996 43.4741873552487 39.9019908356477 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.913355103578184 1.70806336474442 4.65920372244098 9.55308733607734 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.432864831918111 1.03601380985724 0.896791840857033 3.78618854443973 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.256064545509441 0.693151599574847 0.276057259290602 1.79163272911344 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.32931625135228 2.16139614603322 9.6860110701187 14.0286826297164 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.288485632599778 0.67723467103801 0.353896414095787 1.62921524595245 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.134716170569769 0.323729519870866 0.0729440321514721 0.385955166252019 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0812943525902834 0.194186140571106 0.0263669027967597 0.141944896973873 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.19918827359709 2.01688258473293 8.0291697401009 12.6708421007893 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.271167589620821 0.662233793106367 0.311809546580718 1.56057351580046 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.134163835755006 0.330262276056698 0.0728670800662937 0.384901884587715 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.085290822913696 0.204779417630661 0.0290534149059691 0.143025697140503 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.17246256361462 10.0247634590616 506.546734036735 308.694483767566 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.43117761998756 4.39326819754571 70.9757031333668 60.8598234766685 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.71062170344664 2.64139904693492 17.0724151163461 21.9833613567947 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.991151143249273 1.82135798534139 5.38978171045531 10.6981124606819 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.92851986608456 5.84332875742232 142.078783006999 101.273840358365 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07447870311711 1.89330204720512 6.3197602549741 11.3965184003423 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.441988984027314 0.969390000501512 0.92998479484254 3.28109021860839 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.254694854210813 0.591829073981283 0.284422295568521 1.28652032515634 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.43970621141292 5.38992586505341 116.892445702087 87.8532301867473 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.01432982806893 1.78894975286647 5.50288914793599 9.84541866442412 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.438488097817104 0.955638105871705 0.909738570766757 2.94267205812779 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.264542101396493 0.607459366856876 0.312377227223906 1.18993019235724 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.6915050623565 16.4952156922429 1475.41642967055 822.816764217877 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.00854679881946 6.9360298295169 214.337571657346 148.691896910515 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.08860304598591 4.06505358574009 55.5848794393688 50.5293738445782 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.83569517647482 2.77401840650562 19.0238390356446 23.5524925315155 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.93397875773085 9.76290418526793 485.294975411284 298.819955057787 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.13465377413628 3.06621787120294 28.1867445726493 30.5317978063838 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.876369941688005 1.60273122932822 4.56920395915415 8.71951216307973 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.482526452999854 1.00300584769127 1.29683474567576 3.6202319815008 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.93058259389475 8.88167960717528 379.922314619022 242.744698831388 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.92034544408187 2.81614533882812 20.8458794164166 23.5602923191344 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.82841392273113 1.52940581691071 3.61519912511333 7.0003629110943 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.479217960923157 1.00216117088815 1.13525484358404 3.04014467767595 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.50793111902963E-05 2.59268688913148E-05 1.24797822497E-09 2.34420585708973E-09 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.54628118362531E-05 9.52362946170553E-05 1.38867826967212E-08 3.10957399385883E-08 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000181761053154362 0.000204194947513969 6.22774616931872E-08 1.42991773257295E-07 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000327177674579097 0.000372161805279376 2.40027679695778E-07 5.61601963993285E-07 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000100869270162912 0.000121588636902674 8.52368942756931E-08 7.80028496329628E-08 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000444095732304952 0.00055835136263034 1.68411641053E-06 1.58240664273288E-06 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000983333792962879 0.00124424140229315 8.20457374953691E-06 7.80517182604079E-06 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00180510681161142 0.002260649333179 2.63016810255642E-05 2.63429278974784E-05 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000375184146773075 0.000549081855291431 4.14836799518043E-07 1.55953768489555E-06 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000485760152889492 0.000423292074382632 1.43972237068981E-06 7.77478798486294E-07 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0010051420308546 0.00100736258732031 7.29293431397487E-06 4.12477313410297E-06 NURBSSource NURBSSource 27 273 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00196471979558717 0.00190290837225611 2.50209706495232E-05 1.59522690975849E-05 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.208704122655781 0.0927627700787407 0.122507716639582 0.023176415031858 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0911320337022488 0.0354357069880871 0.0223646562660691 0.0036630937956451 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0509819116649112 0.0197039979338825 0.00691247205099489 0.00115995085453816 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0328493576538622 0.0128228001179448 0.00284775733608109 0.000497290560594597 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112501901650701 0.0544527084953932 0.0345996619350852 0.00837450679149588 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.031438364301871 0.0148356320898371 0.00260118451512274 0.000651612099842465 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0148033693652287 0.00710317307372633 0.000563616648539242 0.000156696491204582 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00916616278365162 0.00481072288798334 0.000212846736327114 8.23955210855486E-05 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.112258920366426 0.0506576311846755 0.0346221434084186 0.00726655329390218 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.031835949150061 0.0146179923485334 0.00269919207227948 0.000636677166983568 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0151658693056842 0.00740062504663971 0.000614986152842499 0.000164941348198293 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00948928992702859 0.00505128741741452 0.000244706624268874 8.06836583371153E-05 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.392122912207607 0.209279562278935 0.469204869170724 0.107188661569375 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178916420551978 0.074064014607284 0.0883162290029343 0.0153365873187539 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.101425041210151 0.0399224909916758 0.0276917814457193 0.00464671327523373 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0655684447828728 0.0257521585031879 0.0114477929252402 0.00197082467046148 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.220625918455532 0.113159112789758 0.13809042724765 0.0341518732130754 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0627756588960085 0.0297377926947822 0.010481967345391 0.00257138531992178 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0294164582072019 0.0140261102823469 0.00225782131581529 0.000591946067999826 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0175348962030493 0.00863713579849172 0.000783651697722435 0.00024093927521228 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.219203532047642 0.106444832707603 0.137735077448773 0.0300235401695268 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0635527560310827 0.029323063277508 0.0108593677421935 0.00250761022651547 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0301731838961476 0.0146511361834679 0.00243300347171248 0.000641000209837655 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0182295494496361 0.0093598374949908 0.000887349894999219 0.000269652447797442 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.71458025865178 0.485112894098469 1.79598354458116 0.507519480158596 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.339987207253766 0.16519856692223 0.339197601498642 0.0707832512663474 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.198595815194775 0.083944164807299 0.109043673227285 0.019649497525316 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129987257569482 0.0526055737469302 0.0456968473495983 0.00797668217110466 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.418996534234228 0.247980101330515 0.540101365318845 0.149356555790105 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.124900074776377 0.060117348314833 0.0421959697090803 0.0102197461819896 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0586809661113152 0.0280160605560525 0.00910496629828629 0.00230773846067455 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0346020334136129 0.0167613834483413 0.00310775668130777 0.000860001838945402 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.413486675961249 0.237189292325576 0.536954904134549 0.135317658625104 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.126161436958707 0.0595310312912613 0.0436776292990798 0.00993178329723547 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.060175465284826 0.0293003637585104 0.00975872899528395 0.00251426269554219 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0360204142714596 0.0183347285610504 0.00347116885528175 0.00101554552612305 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.93497775829238 1.70388009359475 16.0755351012449 5.33792583464695 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.884164951408871 0.626168528213358 2.82889960603124 0.849133362634959 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.536193136531756 0.309198215781232 0.909137217647965 0.231530630978418 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.365158238344669 0.181757826577138 0.390372673414127 0.0860181560365924 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11961548434596 0.886535612694079 4.75545220059385 1.60086087233455 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.358145431955303 0.197343540505789 0.37209766681263 0.100383129685251 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.174189207102331 0.0860112110594612 0.0828294656415702 0.0206366210353644 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103103815426069 0.0501944795736144 0.0284208539849184 0.00730343113965738 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.09667282037538 0.860101612978219 4.72231490933083 1.49671844496116 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.356921640385415 0.199374149379415 0.384692597392884 0.098229763055673 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.177342300068476 0.0906142342651809 0.0886654509954589 0.0221693394982744 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106984523337203 0.0551681032384556 0.0315546743275285 0.00869168839410888 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.1729378235776 2.95254713741406 45.2308304847686 15.3384561168259 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.39264877567117 1.1262551369878 7.75082398953175 2.55428402185968 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.834019111959715 0.572198066869027 2.44009925825526 0.729104356573061 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.571861431213493 0.337918468739883 1.0399965340249 0.275038414992217 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.80280165948495 1.56514930688957 13.3584340205771 4.67613846391975 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.569373018408122 0.358091713483469 1.01124535505168 0.308313619993346 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.284925992838572 0.149658856758183 0.228645906413769 0.0597539438893286 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.170849652768848 0.0850513250833251 0.0795646897648689 0.0202968935963047 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.76175481982039 1.52210290681259 13.2376838106951 4.3980972325323 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.563419115711798 0.363567552162649 1.04926533924166 0.300992648796234 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.287258421293556 0.158785143426408 0.2449259638291 0.0633163993085372 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.176046471060767 0.093858012506057 0.088395524336349 0.0237543428332435 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.596472969343123 0.374672472945965 1.21233176956565 0.326101026396547 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.280570478642567 0.127526766836189 0.229539671252893 0.0450219793817688 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.161993601229988 0.0659380649407229 0.0732453673140783 0.0127557432555444 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.105431047123667 0.0417450800206801 0.0305461308703345 0.00524916885202617 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.344304737834046 0.19429819732343 0.360663342403784 0.0980902672466414 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.100451502876663 0.0485643978041548 0.027855283289225 0.00694922515358568 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0471792856468672 0.0226241675577708 0.0060158000296982 0.00155424813648739 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0278528450960848 0.0135854509626278 0.0020534693464299 0.000586201398538505 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.340618452164733 0.18595757513462 0.359149736407037 0.0891368090556076 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.101710564259331 0.0480891043359061 0.0288805525732307 0.00672750827432318 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0485166004275759 0.0237308114300381 0.00646697409462292 0.00168211569219134 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0291353410160966 0.0149020486325498 0.00231757133205565 0.000678718546490727 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.09383684805398 0.852355240120598 4.73630895069422 1.50032156472892 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.518106283853302 0.296314321272561 0.868669315513071 0.220037421845699 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309849511512355 0.145493264139789 0.282013176345348 0.0584598464703869 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.206117048986104 0.0880721853508251 0.119935196646619 0.0224376989378383 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.639814588410839 0.436824469864449 1.40430631672155 0.445541469871447 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.198017307911877 0.100063710705006 0.111147551170922 0.0283859573529567 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0940489873274711 0.0454757058148839 0.0242806824919937 0.00613131686192059 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0553734579057559 0.026876461555725 0.00827353609049781 0.00221657582684058 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.629911219846537 0.42297035915812 1.39886806605084 0.414892532976751 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.199392475391466 0.0999950137973399 0.115036713363109 0.0275033667308644 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0965201635238888 0.0478079734373551 0.0260170842789707 0.00661854594953386 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0578878196831166 0.0296184371766938 0.00924586660090281 0.00261762053817416 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.08325146146568 1.85251877148165 19.0712373519694 6.49530018985271 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.943733577732833 0.68271564710858 3.33465644775733 1.04160315853369 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.570819341754436 0.337993340033203 1.06675438074713 0.285560533167044 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.389253670119857 0.198291052406251 0.457762527716739 0.105767894165016 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.19420008263628 0.968305525216452 5.59975026131835 1.97079607859827 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.380162474068215 0.216536211633484 0.434837626217762 0.12473910692365 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.185981163497723 0.093368251815375 0.0973436111383233 0.0249379683296525 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.110300698595243 0.054039191808086 0.0335166070511696 0.00867860751017385 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.17183106330596 0.943169115316051 5.57278253006979 1.85823621210908 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.378940093868802 0.219291052178911 0.450069368359522 0.121473824384013 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.18941337237829 0.0988285546627352 0.104052907164665 0.0266038366370612 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.114751906057107 0.0597744970714064 0.0372756824055857 0.0101842715587095 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.12678213857604 5.92172704928281 176.002799603487 61.6785813932497 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.57998614358851 2.32719066817026 29.5016678832112 10.5904085500725 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.49575216223965 1.22109384805587 9.06421731867296 3.15769887517285 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.01259899545724 0.739961670013529 3.79232699529097 1.24212813710872 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.43473188603519 3.22062719377095 52.814834602845 19.5857601850787 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.03103172209572 0.781719200780031 3.86727243671193 1.40848856706775 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.524705391087611 0.325191265357026 0.867067364189341 0.272856295054357 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.322437501233113 0.17711485890006 0.306846129526354 0.0859571495825023 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.34623212638558 3.13333492902267 51.7739154442249 18.3407963392257 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.01332838492182 0.789126891662595 3.9732806740785 1.32320572375037 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.520401676643349 0.344817910671079 0.919534649324928 0.273199019036965 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.326075942597059 0.196850823610612 0.337870947256837 0.0943233732295322 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.1911170138964 9.994388193182 491.392130381769 172.340161966713 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.2129419615944 3.97208962510958 81.1222458547004 29.5936905239212 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.38933862996461 2.12154682353927 24.6100396884595 8.98195008422542 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.59003709756442 1.31026119446539 10.1716825947729 3.61886238809425 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.78940321894052 5.5867513875685 154.821357045009 57.7141405740361 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.68231448258252 1.42059609267585 11.3708299382713 4.40230297947683 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.848236413902374 0.60715533942787 2.51656146036162 0.893808498758246 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.526197360070205 0.329234369157188 0.886652907343802 0.281307086198147 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.5758844693232 5.37987328035083 147.734621152863 52.5549523401797 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.62898259527383 1.40122796163966 11.1778338226158 3.88177715914588 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.826433356796513 0.627169244460754 2.57696861294847 0.820324221510203 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.520704613315417 0.357977653916508 0.953480923505504 0.280075164154174 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.17146345480704E-05 7.78702583381262E-05 4.77447369500335E-09 1.6411595864176E-08 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000137480496570629 0.000249755338945639 4.269424907999E-08 1.79728735236012E-07 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000291397986783255 0.000519294382712039 1.83538492004925E-07 7.81695133839219E-07 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000562748035977593 0.000934790760625514 9.73600077531551E-07 3.42067110575528E-06 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000106015108451209 0.000126169563892008 2.17238765248613E-08 1.22057502634718E-07 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000469589550873012 0.000599763416464437 4.1748284133177E-07 2.79291816594069E-06 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0010408834939383 0.00135091414906219 2.04588345829619E-06 1.41760911877818E-05 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00206138371917596 0.00268770806000761 1.34723680180069E-05 6.41616085685121E-05 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00059305389979571 0.000664710637024441 1.12486885967332E-06 1.21447177042478E-06 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000329354324384778 0.00097096266143739 2.83464035338473E-07 2.48825843650062E-06 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000595561243416197 0.00188190872322095 1.65748491816203E-06 1.12948344191185E-05 NURBSSource NURBSSource 27 274 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00134663690536781 0.00340833104315229 1.36982475278166E-05 4.49022234032866E-05 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.227621798008931 0.116758479159551 0.151128055439374 0.0376730012668682 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.100524506488782 0.0449038685355705 0.0280659032917797 0.0059631298494237 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0564339991465814 0.0248782538007095 0.00868967186458572 0.00186090101396893 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0363747542392605 0.0161965394512272 0.00356680721692505 0.000787030315705617 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.122554970808242 0.0661313585455273 0.041583642793883 0.0126541713474272 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0343574810572425 0.0180978118654975 0.00312490402350922 0.00100327031058984 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0161616780439903 0.00861704266454795 0.000673222484202255 0.000247680825234673 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00985989425232582 0.00593820772864332 0.000237031169993266 0.000157791146461099 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.121648781586174 0.0635150019953259 0.0412050869511832 0.0121384839531844 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0346156502255074 0.0180607710065796 0.00321210412774143 0.00098792007091591 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0165426963459688 0.00902664270280221 0.000726903123517841 0.000231157557155616 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0101864147851091 0.00661327471973533 0.000271018719954868 0.000125482973886693 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.428553226833797 0.259753234080768 0.58582589055064 0.172283888672428 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.196221942111866 0.094569174079294 0.110386786792584 0.0252685896069702 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111941125681031 0.0506530922264287 0.034766789925556 0.00752470930937719 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0725154729106858 0.0325521749337487 0.0143530270036663 0.00314967888007143 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.239596966058764 0.137704770248141 0.164923724485539 0.0519704365294941 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0686015163571432 0.0362814421598218 0.0126005169495795 0.00394057726813579 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0322587862020343 0.0170348839513378 0.00272437024475726 0.000914480334613986 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0191880881000941 0.0105738314345582 0.00093093634516898 0.000408335317519167 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.237206904669603 0.133001245085734 0.163134474068559 0.0499343555219559 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0691028450630902 0.0362081765741056 0.0129452452414334 0.00393276693834632 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0330321723641014 0.0177241643856903 0.00291815456510719 0.000913106697213153 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0199703195119008 0.0114844411848897 0.00105147359712712 0.000373917913554281 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.796912330093579 0.580989928729956 2.30539350308637 0.78705141730017 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.371542718461321 0.20979141513063 0.426019242826502 0.116585441996177 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.217751933450133 0.107355374024776 0.136230841641128 0.032282955760465 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.143180934988535 0.066885620405008 0.0571590575692272 0.012905700442205 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.455189834701644 0.299035794374246 0.645300499079499 0.225221347596786 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.13634529754437 0.0734042342595718 0.0506912132388844 0.0156521340012026 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.064417716473912 0.0340445183713176 0.0110133347046362 0.00352266545589221 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0380650264668695 0.0203792743111543 0.00375650899407623 0.00136425470130894 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.448095250124078 0.291803665760997 0.63717559315651 0.217893146712018 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.137172130340069 0.0733692887022235 0.0521151047412434 0.0156572457104176 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0659401393081612 0.0353707957110816 0.0117654178522303 0.0036382104719886 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0397207189914309 0.0220306218771699 0.00421560882148099 0.00138669318746789 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.20291578213216 1.96855266426972 21.0440665562422 7.93441372462961 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.993366126349024 0.751394738692183 3.70354209387073 1.31769002157951 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.590657449317907 0.383810909050473 1.16081539091982 0.370096283891367 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.399137327960746 0.230536369644945 0.489041273753798 0.140120663203529 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24162073894636 1.02609827794171 5.8041923462719 2.29118664831256 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.389091939826105 0.240616076239296 0.444257687095758 0.153327143842071 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.190778140160814 0.104822155966139 0.0999666213457925 0.0314207231610661 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.113584586729985 0.060892403803885 0.0345577547866468 0.0111828660377608 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.21549447564963 1.00842221556303 5.77525013255365 2.2241085576128 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.387369071229159 0.243353410278927 0.456355566081121 0.152427015174166 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.194212370446426 0.109201765008586 0.106668800868475 0.0326383369803563 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.118221731224796 0.0658595068662804 0.038666159688081 0.0120909140918363 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.61647129398072 3.39054957813446 59.4945819307126 22.5293755928939 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.58599983141885 1.32756245215399 10.2726832426552 3.89030925102211 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.933132921506903 0.690324699747829 3.17895372164581 1.13023784240435 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.63065090393254 0.417840076927367 1.32700561152021 0.435484082152907 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.01155394381948 1.78962711798224 16.41842817976 6.58307141241093 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.622253362875586 0.429495684744115 1.21945340082585 0.461183365288265 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.311068715256254 0.182843908670774 0.274961553434511 0.091292450187166 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.18798555493459 0.1034533809713 0.0966966719221368 0.0310773331195019 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.96825208478142 1.75642998765731 16.3966955743635 6.36865679644024 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.61522028259526 0.435276547737928 1.25505656089978 0.452901447464672 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.313923198527808 0.191033910474337 0.292526051309795 0.093429198481706 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.194371337394072 0.11191937097227 0.107838439996961 0.0334005233719617 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.650832514244656 0.446665159002782 1.5145755097571 0.501319990105855 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.300685992933503 0.160157745130209 0.280078072482539 0.0733369289665606 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.174447303263292 0.082742637944009 0.0892846155152028 0.0205297905928259 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.11393724120394 0.0519590728283378 0.0372724059021882 0.00828818342654371 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.370059209002557 0.230698767826875 0.425364972947387 0.145005592506837 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10793395203764 0.0577262905095438 0.0328918819637611 0.0103018978451863 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0508949127457459 0.0267923584371956 0.00714649398436644 0.0023159834473022 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0300605574522141 0.0161816683080738 0.00242336017270088 0.000920804154061789 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.364357646205788 0.224566273211451 0.419063765402951 0.140231314705077 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.109198770402506 0.0578927335247538 0.0339995907989298 0.0103382832820792 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0523727461149537 0.0281205523979979 0.0076715442347756 0.00239320819528144 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0315170091068902 0.017746418172643 0.00273583689161036 0.00092068737203626 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.21743236149649 0.983280770225558 6.04087321711935 2.21631943500276 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.560472741412363 0.360843134154464 1.08510649253673 0.34649803023216 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.331926177558552 0.182144415034454 0.344250321487121 0.0946008154827895 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.221167466355803 0.11045828522155 0.145423184118846 0.036047022488934 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.694537398276586 0.506850632931939 1.67513805854765 0.63776836484598 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.212164338991743 0.119209712300831 0.130573619687236 0.0422393422874337 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101405833730369 0.0539164771513756 0.0288174193649456 0.00908892233292601 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0598594498670417 0.0318424111873963 0.00981576143661164 0.00334592053511328 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.680494924127195 0.496894918963251 1.65477271785007 0.619813443166576 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.213905689669431 0.120114496688513 0.134928127786838 0.0423698729285886 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.104234779567019 0.0565710528127739 0.0309264458356208 0.00953906695183736 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0627777075481249 0.0349054842035841 0.0110359374107985 0.00357693877131849 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.33815910749548 2.10185165355318 24.554806927546 9.34386544748447 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.04396742152675 0.799828369936169 4.28080999728212 1.57104034012614 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.618324536959793 0.409148037277246 1.33453869230474 0.444991393890613 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.417186828100473 0.245565196163118 0.560017689803979 0.168475353981711 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.31290124883273 1.09724782149299 6.75392226467277 2.72839480841079 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.406916157585221 0.256612550481711 0.510481984575981 0.184107933732154 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.200053878129667 0.111005836586635 0.114966857105611 0.0370569984489632 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119190679799647 0.0640151608248584 0.0397615358629349 0.012933517087647 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.2841391974317 1.07800492663311 6.71348289835764 2.6527281971862 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.406831239761289 0.260630812583179 0.527477539833688 0.18354127198096 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.204529583516252 0.116663842217345 0.123237536415367 0.0386993040988965 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.12462766628805 0.0702203946097804 0.0446196062288539 0.0141341777740547 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.89898594527754 6.68199686129022 229.291157501266 86.9160703351711 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.90964801638419 2.64996889257414 38.5636551740805 15.3718298973106 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.67170201790269 1.40571601726124 11.7196477289993 4.64675254169244 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.1164246250038 0.863829889571865 4.82492947223464 1.84838469657348 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.80318323519156 3.59329045481235 64.6143852465049 26.2871827895368 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.1250316256054 0.8934732340217 4.65183890442367 1.97398796922344 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.565187606801978 0.382325316809571 1.02790994663135 0.397443020059954 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.346980868063429 0.210586491165425 0.361842752211203 0.127990711525527 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.70521021731028 3.50809985359994 63.8981758647928 25.1930553886879 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.10691137586043 0.898453390052546 4.76119478290294 1.87416210145333 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.563603774492476 0.397979167340964 1.08766632068563 0.38762780154771 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.353691287114528 0.22859622408055 0.398890516083807 0.131670039210799 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.487732324862 11.2848778031185 642.690746502051 241.701101930703 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.75591376130362 4.50525437206514 106.199769785874 42.4370432102924 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.68612414024242 2.41760987544516 31.9249003614714 12.9989306985606 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.77304016548007 1.50355444845171 13.0418755161448 5.27080296014141 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.43149796170125 6.23952820435442 191.609535527081 77.2355472002224 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.8565925379564 1.60551963186572 13.902764272183 6.07897234495467 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.924795360882339 0.702585236236454 3.0400303902366 1.27083919240739 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.569678640847138 0.387865374495067 1.06146876568945 0.411123160170633 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.19958928462859 6.01620168995603 184.526053469582 71.8904369426051 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.79294592979745 1.57109310148888 13.53331524712 5.38888658789718 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.90163784691964 0.70979162892319 3.07372764406115 1.13608077317794 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.565966444850452 0.409197220885984 1.12421017534501 0.384303095463846 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.67025427395985E-05 3.11787908826304E-05 5.46884696917332E-09 2.46245472844007E-09 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000167356193737552 9.65017608953567E-05 5.21515816691513E-08 2.29434654120861E-08 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000346787417194927 0.000202042172825787 2.28434323805043E-07 1.00950174665247E-07 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000630512229598257 0.000415135060768573 8.34729101115006E-07 8.06282603385914E-07 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000111288950704086 4.80544721776118E-05 1.98844799292232E-08 8.11496939679686E-09 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000425858445684953 0.000213226634616969 2.79451413099606E-07 1.65982968745338E-07 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000921381189908972 0.000473407842918439 1.29564262086124E-06 8.21596704430486E-07 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00176379668738606 0.00113584946778274 7.19158414208748E-06 9.88986325392671E-06 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000464643137981637 0.000424047668109811 1.80862067509424E-07 7.57341053243002E-07 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000426333180089875 0.000389416451818583 2.84364791867037E-07 5.94118892226204E-07 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000796914914537236 0.000716893355283102 2.21926351072318E-06 2.24681868947872E-06 NURBSSource NURBSSource 27 275 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00177885831248882 0.001300733971569 1.98576036034444E-05 7.06906727812384E-06 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.233695643405814 0.0999946738521132 0.150656447104247 0.0255909878864561 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0998148494774652 0.0401051044766085 0.0267453484034782 0.0044636952741243 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0568774386588777 0.022273760015601 0.00862501657814488 0.00141375149844933 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0372887019472386 0.0144217368703511 0.0036888314511434 0.000600223113522306 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.156124264841683 0.0551542559798697 0.0672144088617339 0.0093133986473202 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0435701753861028 0.0149872806059053 0.00511291420584923 0.000716924895331955 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0203444415702801 0.00703635311578318 0.00108158499346299 0.000158224142675663 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0120271317432052 0.0044485937535819 0.000354315933514803 6.70630872724275E-05 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140035242085759 0.0467488806298851 0.0531736128468899 0.00673711126412589 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0416347179633674 0.0141682139884415 0.00466988363547206 0.000647713265239202 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0207926678034438 0.00737664247492514 0.00117440414576033 0.000179404336556711 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0133765044831841 0.00497681011062995 0.000481815941950095 8.36102363456742E-05 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.454847495319675 0.212569940744192 0.592716372149678 0.107359413895133 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.198578669387652 0.0812559950562373 0.107117642844457 0.0177197211365743 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.113546966708845 0.0447466491614892 0.0346158176749808 0.00561334322036669 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0745069502323693 0.0288845569631309 0.0148190280850887 0.00238778542448675 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307039107351899 0.115451101104993 0.265203685742316 0.0381591492833789 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0870079282144891 0.030097085556188 0.0205514627720841 0.00284907805424013 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0406318854044086 0.014050236274011 0.00439622616905058 0.000629984462568963 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0237706948349517 0.00848599097779685 0.00145104438238378 0.000235099471890913 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.277128934498194 0.0963856508335526 0.211752413890028 0.0269818031843925 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0831540201738138 0.0284356132590817 0.0187790629513322 0.00255307890565289 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0415232116349688 0.0146907689422453 0.00471814242074637 0.000703053090420982 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0262458475284755 0.00960453479526056 0.0018789041385046 0.000308475265969672 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.848651454877881 0.486351788819157 2.25261948728118 0.503724390778794 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.390005883057496 0.169713291455898 0.423378079565062 0.0730927220852442 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.225623212378502 0.0909493279123902 0.138361264519732 0.0223894335679644 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.148568901392385 0.0581928173246304 0.0594231766987215 0.00948990230380253 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.582219653929021 0.262433851452867 1.007275388626 0.178827066093298 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.173185997981913 0.0610334798850467 0.0822183594570033 0.0113762491296551 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0811636492757111 0.028170782397775 0.0177562410570588 0.00250025778522195 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0473687861857048 0.0167538050481551 0.00591579821945757 0.000903096651524133 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.531936971629929 0.214821432605505 0.813342164534101 0.121760599742029 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.165480171081212 0.0576875908279954 0.0752535114040189 0.0101081835191681 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0828908287069043 0.0294709607106152 0.0189725801727613 0.0027577612072825 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0521362614016328 0.0190667081200603 0.0075163628737306 0.00119286415612062 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.23926171767033 1.80669954828008 19.2629082989987 5.81965392984563 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.05412068294077 0.62490131018578 3.497446861523 0.857997245872291 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.641930885510605 0.307716373056526 1.18652488752359 0.231760995995225 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.434021536463904 0.186179473937974 0.523686716304722 0.0899292383790008 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.50806765482094 1.02519569291314 8.27555254756074 2.27325533526147 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.496960638522632 0.206388209885818 0.706052981895639 0.117479939888297 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.241272265665656 0.0870842087231378 0.159931172038196 0.0226484729095003 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.14160730309471 0.0505845052295526 0.0541704965457002 0.00796022323294299 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.37323868590018 0.867802854560459 6.56740037699595 1.61144316821488 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.475243141050004 0.19482991053945 0.652542087119166 0.101850865554752 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.244817411028465 0.0924654382071679 0.170215615724169 0.0247293343270222 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.154883899345875 0.0584301579769109 0.0681646298387087 0.0103753923112754 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.62072591217557 3.19807306096773 53.6890824423023 17.2241793599212 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.64341759641078 1.15753176549687 9.35102084865428 2.7226801133649 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.00850148374065 0.573515830815524 3.1368590897064 0.751260648624604 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.694847990608077 0.338414564380085 1.39799241536296 0.281297058908871 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.37020831036877 1.8679051049073 22.5620473717651 6.97921448351079 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.785415629350712 0.389060675363194 1.87088020264012 0.390823026764607 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.395016243882615 0.153466875545832 0.436265838932368 0.0670517899318192 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.234974476714227 0.0860036305937773 0.150835884663821 0.0222602657219803 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.13940009945257 1.61153903386411 17.7306587274216 5.0850159468258 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.75075172726621 0.367230559736344 1.73594946348443 0.334516407259997 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.39742099710444 0.165531257394022 0.463031515596527 0.0741554959717969 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.254516101562571 0.101500524415038 0.188478727368322 0.0292988453844819 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.703505592753 0.378794961846344 1.52507877705611 0.327801642485631 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.316836485605617 0.135000724455649 0.282383594044234 0.0486576419542964 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.182427406333192 0.0731210717003559 0.0920286191862389 0.0151359198324968 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.119826397770469 0.046968542134849 0.0394345013120363 0.00643870211922217 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.478351025073704 0.202399537997861 0.676409691216716 0.114612588022608 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.139587128997748 0.0489485338428839 0.0544058915764304 0.00771992661247958 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0655617447300078 0.0227450230787281 0.0118192812896239 0.00170020172198784 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0381081073934826 0.013590621687011 0.00390554033172706 0.000617156793029243 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.437107617071302 0.166549714158374 0.547799223674749 0.0782713216023136 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.134252733698091 0.0464623257517333 0.0500773038139 0.00685960254421722 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0671492354107174 0.0239675418028346 0.0125755122439666 0.00188010197585423 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.042355136777691 0.0157297891943457 0.00500676751254935 0.000828562763903338 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.28903311093759 0.880814028921216 5.80977780071157 1.57333624339279 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.607496882442056 0.296142740949777 1.08562026994597 0.219456201096279 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.359001077510862 0.152008402328527 0.36327342872716 0.0625498390309004 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.237952857230104 0.0955788558460928 0.15733205676903 0.0257902421642475 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.88213489069043 0.478860127253467 2.53832303639502 0.57855350089113 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.275579243877798 0.10160413698966 0.214854833441153 0.0317941825972638 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.130792628417757 0.0458490347913551 0.0475385072073678 0.00677882048382639 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0760757213649434 0.0270933363826301 0.0158561860103968 0.00242002393430067 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.810760974142713 0.396048813448392 2.04952275267542 0.395820366702471 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.265224536022306 0.0962360592544373 0.198821300563512 0.0277341818002042 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133762421127773 0.048465416260851 0.0504973191493188 0.00740185494807646 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.084354176024651 0.0314968806289352 0.0201493223616439 0.00321015657396079 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.40363330882425 1.98148397692316 22.8469333582199 7.15452388590063 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.12028716674362 0.687003668856487 4.08270031191576 1.07099811230444 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.683325311712741 0.33853186814818 1.38347567405907 0.291021236964624 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.463396025816351 0.203479959465451 0.612369647837901 0.111405158729522 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.60474290124481 1.12023776535849 9.67402271400266 2.80583665887622 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.528601042697164 0.226570359029603 0.820541525115315 0.148335753937761 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.259016529220932 0.094677355630475 0.188803437370002 0.0278078394782534 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151797895788741 0.0546657822089776 0.0639789160350132 0.00962814966492918 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.46267440335303 0.953466393600757 7.68869271363451 1.99395695363887 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.509194854864448 0.214277103622548 0.765194529213475 0.126724909890813 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.263476341069623 0.101307872540606 0.20026461640137 0.0302525286332233 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.167280010974668 0.0644163849164641 0.0808194198711777 0.0126776768768801 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.93340732531833 6.55429210817736 209.334311879535 70.919067252931 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.97397102681551 2.47670193620508 34.7332547561772 11.9172186341565 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.78725704920123 1.27502093107264 11.3068000840127 3.52644618252051 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.23534660497911 0.761004754108039 4.9718902265007 1.36558292426616 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.40221697790342 3.92700282952279 86.4258156874169 29.8526762690324 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.39992746352909 0.892069453975696 6.83068949539326 1.97168787697843 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.725862498671609 0.349194765735441 1.60196001479698 0.341316021863564 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.444828637412368 0.182849883868634 0.569572358456247 0.0991822097708072 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.94668638923522 3.43338792335254 67.5677130629523 22.0467030817854 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.33094496240248 0.848808115900701 6.28638145599386 1.64170014336645 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.723951020754329 0.376692362377169 1.69698307901004 0.358728543720353 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.474344337333182 0.225355832252392 0.708197281138273 0.134291767359848 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.5129527715597 11.1635794811015 587.629353592915 201.274971312053 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.80061139939333 4.31692069920946 95.4495764380037 34.4574262366901 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.81423263164337 2.28136440587782 30.4150439007256 10.5441925295322 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.92300449705404 1.39156671460195 13.1652903488985 4.22633682958888 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.31098133187062 6.88309340630494 248.48567980109 88.3909327394074 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.23259134102799 1.67759307254657 19.3268608082608 6.45732939506947 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.15785807508831 0.680002648063429 4.46789062804852 1.2057327770284 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.722054832755114 0.351793597722991 1.59120170094117 0.34676469967609 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.50721015529173 6.01542940315081 192.490072027782 65.3620706716388 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.08611695837348 1.57541634542277 17.1880311977877 5.16305505597758 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.13288696870571 0.717121299029316 4.62816853727533 1.18018622091808 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.752312583344254 0.427263011804676 1.95665414080055 0.444304830167851 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.77517172578969E-05 5.23841941318115E-05 4.47992827265841E-09 1.06014446552851E-08 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00023563791660347 0.000157227340990601 4.36036487862951E-08 9.71435062997893E-08 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000482868668307041 0.000321959042108751 1.84719770786629E-07 4.08626615594605E-07 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000855581310853802 0.000570183693027502 7.69431139299617E-07 1.38491187347286E-06 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.000125943515866428 0.000102244874634576 1.68130029336378E-08 4.53970223416799E-08 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000451030754107856 0.000404362905379912 2.59843714514819E-07 7.23875106453918E-07 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000961019800740274 0.000879021837608494 1.22008515155202E-06 3.43504916260288E-06 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.001785145753008 0.00167168594984485 5.64487467721359E-06 1.35867241955395E-05 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.000570043246959232 0.000314672935656574 9.87251755076694E-07 2.75524714958756E-07 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000442752511393779 0.000371638190869179 4.08030093355459E-07 4.55527522283331E-07 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000854641609000836 0.000744677207952486 3.62068349577679E-06 2.28856786988212E-06 NURBSSource NURBSSource 27 276 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00165389244432795 0.00134507156164509 1.13891753837039E-05 8.05765257442573E-06 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.229240481094939 0.193703199400104 0.145678046599371 0.101042122498348 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0954662170039024 0.0818576985712355 0.0240602656891037 0.0188054761065862 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0536885073198759 0.0457228982796234 0.00747666495615986 0.00592482318918477 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0349336366197804 0.0295458298486361 0.00312066908045567 0.00248534902243632 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134589403052567 0.104900866384086 0.0490306095927499 0.0299878632311269 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.037813938926672 0.0293587394081647 0.00371520908956744 0.00240262378580889 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0176816432450095 0.0137325109333023 0.000789692909701806 0.000544430465631918 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0104495441032137 0.00819414240622584 0.000262831146688557 0.000209833443385447 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.116745660646037 0.108859497275644 0.0368891418161469 0.0325700537464033 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0351295917037096 0.0310330642842687 0.00325564208309704 0.0026749088233987 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.017849214265702 0.0147438562671624 0.000831248299122061 0.000606852668718803 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0115551727769156 0.00890973253426942 0.000333843619877654 0.000225446829352933 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.458516562890621 0.387403899806642 0.6206408793947 0.383320245581624 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.191100206882148 0.163562710893394 0.0990230886109927 0.0732854765350971 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.107404018805699 0.0914170452051352 0.0304038624219701 0.023353274881279 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0698719228675166 0.0590715672066209 0.0126735842485042 0.00982579881629664 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.268790857721192 0.21006440031348 0.200664347036 0.116931502637894 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0756279947101085 0.0587175694602797 0.0149928057586968 0.00950309281489961 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0353458491635733 0.0274349783611543 0.00320878137775396 0.00212047274445592 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0207266888238866 0.0161515025096018 0.00107578233620248 0.00076476688982094 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.233684974706305 0.217419020885799 0.152527754533872 0.126199563979091 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0702656230553502 0.0620477073043162 0.0131529632070037 0.0106156850291344 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0356315786281161 0.0294502913146309 0.00337310367193152 0.00240856802527655 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227579018266352 0.01760242395953 0.00134885213191729 0.000867556981108731 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.910585276963732 0.782584884538857 2.70848878435783 1.45281777735867 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.382884055316603 0.326538297588771 0.418576687483662 0.280109411501713 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.215015975988682 0.182662245895338 0.125374998825896 0.090919756292332 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.139806567236799 0.118088425215142 0.0517617954198583 0.0386032698712556 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.534585166189645 0.422729901686069 0.833990089149699 0.451032931104677 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151272272351454 0.117469415682469 0.0607669636578164 0.0374614079182272 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0707067999972205 0.0548604836714965 0.0129970812615532 0.00834031252264933 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0413915246306395 0.0321716086630461 0.00439087996009709 0.00293094724158233 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.468139597420579 0.433559865940025 0.650706432107723 0.475882067925687 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.140603373638663 0.124009214319875 0.0535489728910167 0.0417299832519635 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0712517818080864 0.058875307315128 0.0136908389520341 0.00953861762464504 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0452987574817412 0.0350797733302268 0.00549445526492585 0.00340976478317774 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.66478017775461 2.46509647494528 27.9306522937525 12.5850374345847 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.13979355581756 0.990417008233481 4.30961117717619 2.33835855696947 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.645505835634377 0.547663004312149 1.2482800726006 0.758516594976453 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.420116067833708 0.353520044506211 0.499784677222027 0.327082643315452 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.54458450738848 1.32341697973465 8.12574681595821 3.90734211502677 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.453247228890687 0.35396860255394 0.571150945251443 0.324270725977709 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.212396572729187 0.164825184485948 0.12018536058183 0.0731034157900887 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124337586021218 0.096537008535207 0.0406284332598213 0.0254890045018813 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.39010326366015 1.30684458831678 6.82946820716132 3.79013869647357 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.42265336866895 0.370581696399561 0.514728580637846 0.349856094475241 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.213835665375294 0.176379684049533 0.127705203884383 0.0825980070956802 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.13561867820738 0.105033503806851 0.0510624936073538 0.0297111295146761 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.42954361818773 4.21407240796499 81.795686476878 34.8443253989114 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.87683865308359 1.67882053150238 12.7150479815248 6.38535354926359 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.06917204987851 0.9192388860208 3.68411706926024 2.0431352994179 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.699030080915011 0.589817887315925 1.46398241290231 0.875260537419786 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.51982041746306 2.27467971319151 23.5847829486846 10.8270412768496 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.752514488903159 0.595490304485361 1.64318685735588 0.885387541658746 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.35454693743752 0.275555901079394 0.342059332127261 0.199930437157438 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.207668767214788 0.161293032394782 0.115020548982323 0.0699541143110939 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.30219679142669 2.20178666246515 20.4515677153695 10.0782493102721 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.704020660686699 0.616418815788562 1.51000128538045 0.918311749748362 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.35641489299869 0.293392067095551 0.365839059460778 0.220638782232962 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.225843383169835 0.174961330030275 0.14501824848631 0.0802435888835706 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.735125993984117 0.629058870121169 1.77020790746065 0.99903400954324 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.305783914083415 0.261636170947281 0.272851120851203 0.190381290579305 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.171473224955552 0.146108925960797 0.0821799604310264 0.0613858289600779 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.111378493461381 0.0942969262919225 0.0340008745922912 0.0259429326616218 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.433701867558304 0.339202379206901 0.555607970106823 0.30567419686742 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.119796408401403 0.0934102729472886 0.0395776088293064 0.0249275148211663 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0561387908065513 0.0435371881388727 0.00852660914690473 0.00552677468529427 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0328970422435298 0.0254904904830726 0.00287924775717018 0.0019485991354206 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.380396007149161 0.348471777853981 0.432864457926359 0.324081405590234 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.112782503988056 0.0985069590977558 0.0352398086385988 0.027706982147077 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0575239114894585 0.0469269213559503 0.00905185769858486 0.006336316799464 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0370579979968831 0.0280283024034937 0.00369728197362836 0.00228247828612325 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.4469726862066 1.28852728884668 7.72590899588995 3.87668321733058 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.611423342938514 0.523586027251671 1.17802941697751 0.725490188697416 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.343515574811273 0.291620336134485 0.345464141184291 0.235787052744221 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.222999771473397 0.188324412791795 0.140478900366799 0.100804891477752 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.855371792780688 0.689471539901828 2.3303097769786 1.18476135786335 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.239510557418811 0.186997616512682 0.161337040744003 0.0978543742017828 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.112296555325436 0.0870879656371444 0.0345450816996565 0.0217707813394297 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0657331412943933 0.0509005350542636 0.0116973544036612 0.00757969317238996 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.759969434829723 0.696153794396172 1.89263188961393 1.2040919818236 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.225685181095836 0.196749534178645 0.144932368673411 0.107682699261206 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.11502291054216 0.0938040236804485 0.0368049508406448 0.0249567428558631 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0739593773225415 0.0559525991061271 0.0150669807021223 0.00897791368204685 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.85605499545387 2.67155741094297 33.5285458995417 15.3408048217203 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.21110165196353 1.06114926211608 5.13558831895305 2.81039245676636 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.685925905176974 0.584199506562172 1.48794897024622 0.902356026173304 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.446401626826454 0.376062929924251 0.594506352154852 0.386187953204198 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.66044780682359 1.42786894394561 9.82653122492536 4.67729138680537 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.478137022512878 0.375682885090122 0.667504786730014 0.382286178641028 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.224734430549608 0.174474268660033 0.140948035417709 0.0856620806146631 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.131532380030528 0.101900026491972 0.047595848453903 0.0297564580066451 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.50264934761399 1.40438453090115 8.36208691694825 4.49295264085086 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.45167661157821 0.392249756735486 0.611099850988285 0.408057937230401 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.230065675446071 0.187431985335232 0.151273726723611 0.096813508154717 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.14782781094498 0.111789608464306 0.0616863365955176 0.0350275967740748 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.60378505032608 8.42448466241846 331.436639483348 138.209890494501 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.54031248088424 3.32306058195217 51.4645105214068 24.7727199159237 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.00757046136015 1.80179809303161 14.9928408912086 7.8195734696844 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.31855652047333 1.14357442032493 5.96936479662404 3.2889480912213 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.86656454912924 4.60003840155134 98.53386771042 43.0098636340915 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.41348403047479 1.17575432346857 6.59732925894273 3.47536556002644 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.677674834529913 0.53434092905016 1.37192662495486 0.764761799506606 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.398539284778886 0.310549621921762 0.45803568224859 0.265097525833931 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.49732351201603 4.37358364689189 87.0926394138221 38.4159615959807 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.33581849319449 1.18462516998464 6.230345100679 3.29034544383191 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.686659529071972 0.560652117577684 1.48531152902635 0.78232654382672 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.442908737115833 0.335040298161016 0.595737064679947 0.287571465906295 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.4025932094245 14.2344951829317 942.660958928531 383.427946606079 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.84922399945483 5.62867837356196 146.318350392689 67.6336170558787 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.28558213044384 3.05048283829448 42.7510650687476 21.2605725758141 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.15459876027152 1.93081878660928 17.075377384414 8.91664833010868 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.2332541157949 7.96129788454943 294.388072268591 124.932144311809 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.35002469742198 2.05886227139645 19.985830956356 10.2384652328231 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.14224625768443 0.92608809363225 4.16979324609661 2.23850091774603 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.677561577520217 0.533936266326424 1.39082968232205 0.766501653457963 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.58468817824625 7.45595477087484 256.762388407402 107.294882738338 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.1990318044734 2.01447880194262 18.4754441083931 8.85982613129507 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.13051018126094 0.944369202928 4.38453455657606 2.04882353480182 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.73411509678198 0.561951306266712 1.75351563367032 0.745034974379264 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.60557164284421E-05 9.21869946702993E-05 4.92252039505902E-10 5.40478774537919E-08 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.52014344723589E-05 0.000255973966748984 3.67736956125112E-09 4.44422817793754E-07 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000153148354987768 0.000523793902648805 1.56631664421012E-08 1.85241153512171E-06 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000268771832593465 0.000913532988260287 5.7926029897884E-08 5.60312570152332E-06 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.63152259020605E-05 0.000402221731380269 5.96116561709129E-09 9.40400584426151E-07 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000193919265013516 0.00170246546011158 1.10056139968006E-07 1.67233239078371E-05 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000425503896205694 0.003733403067188 5.35971894296851E-07 8.0290679316893E-05 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000769549403486519 0.00655108611867023 1.75030118130482E-06 0.000246328359525443 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00014987685841578 0.000427803077552838 9.55058966319164E-08 4.47315485513165E-07 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0001879570512728 0.000614558418530678 2.27596596583164E-08 1.30390217203414E-06 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000549526340422566 0.00134669368115528 7.17831825686975E-07 6.81596076788572E-06 NURBSSource NURBSSource 27 277 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00108444076110035 0.00246999933728682 3.87464077788994E-06 2.26198677261268E-05 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0984372494855724 0.410234565290571 0.0422171624580348 0.48118791698982 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0346975285435615 0.181989397602221 0.00377659265323975 0.100669971412452 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0186810264445242 0.103101792555989 0.000990627929091948 0.0325625623451183 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.011979375569918 0.0668621620902281 0.000394041539005208 0.0136943741353345 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0474953461704456 0.238730168516578 0.00721077059945494 0.159137961245056 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.012763286371534 0.0671163474020569 0.000470106803244363 0.0128968898396055 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00600886158247724 0.0317725893320449 0.000103303046429989 0.00306681698660779 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00360721796113485 0.0201715724224237 3.73951487189269E-05 0.00140417568979599 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0440352074144397 0.242448924984066 0.00671604576850261 0.160854123458152 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0125941975428857 0.0687862422278076 0.00046428156890139 0.0131455695165361 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0063593645202856 0.0326433288718376 0.00010858652935826 0.00295824556881011 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00419766271642642 0.0195716893568281 4.38718111190284E-05 0.00106219260345546 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.247292550171669 0.769411993237631 0.342572775589151 1.58867782311345 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0778546838721471 0.355389377467454 0.0260771466067522 0.369453541518977 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0388104989370443 0.204720438222058 0.00488671587456351 0.126131677472681 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0242535771770664 0.133400920794873 0.00170431781343647 0.0539618117427233 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.106687495541489 0.465638000067323 0.046683097287027 0.583992211816484 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0256530907209432 0.134067385380455 0.00193099708711683 0.0508531427940997 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0120075243117401 0.0630328904897988 0.000413319129690173 0.0115987202812619 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00709649344449725 0.0379151795337699 0.000144110330592788 0.00451676692775134 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.101752557981991 0.471059663116829 0.0472099508218117 0.582975453017915 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0253645719940314 0.137383061982357 0.00194239543914325 0.0522181799296948 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0126799839463452 0.0652049223816111 0.000448280988254921 0.0117957036716812 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00808863398360865 0.0387744357497586 0.000171537948885884 0.00417470871200992 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.651942894088072 1.3816754157215 2.56129049400333 4.78862929448323 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.193396921891753 0.672723215038757 0.216461889859086 1.2488567692342 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0885710194876372 0.398334816072291 0.0358931884282088 0.458052532847213 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0517128828494674 0.263526575755621 0.00957535547497784 0.205214467706641 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.271827044343348 0.872446102280606 0.382390741040115 1.92460760253986 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0529524198765513 0.266529446627969 0.00896862044378336 0.197629909086776 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.024104889469037 0.125747475343389 0.00168719752530857 0.0451252273651524 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0141524276649609 0.0745579213481079 0.000575062599936034 0.0165095264263479 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.268842624818226 0.875996668452854 0.405992722595732 1.88237786325181 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0529025133142058 0.272530368909541 0.00948916059742603 0.20211656422243 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0254819666078773 0.130222942024545 0.00188132547770083 0.0468560461162176 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0160285421466153 0.0773319801563317 0.000703668142511369 0.0165790720217797 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.65755042945694 3.48873968760038 41.6994546624368 29.5389278310617 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.891058596854856 1.7081432186627 5.04285252892325 7.37142548719775 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.393800557316518 1.06555889869709 0.985963607313151 2.97241573775907 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211358985570006 0.733333954475046 0.26256614658568 1.46040782075859 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.26810870641951 2.16963195662485 8.89233954768239 10.6330280311056 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.204746788771382 0.755543804841946 0.20348772980741 1.48152807708071 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0780342768778042 0.372277601224817 0.0216291743881044 0.380559967492195 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0433289655590183 0.222168272142629 0.00572040402139996 0.139894577887639 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.27141133132037 2.1640548420994 9.31170347617035 10.3197478923132 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.213798297532292 0.761572175565384 0.234903202304076 1.45749601173331 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.084019032236924 0.382782392875836 0.0262154952333124 0.390449275640192 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0492267685062881 0.2304332450748 0.00739893573857095 0.14483519201736 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.76118985314618 5.5624624639422 132.372021449523 75.1448297019582 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.72203594494298 2.61268209006196 18.4087595804 17.0934327253476 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.801487936644513 1.6282965140938 4.09094873849265 6.68162903596459 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.432191795097513 1.13980216371437 1.17959840147039 3.360399407034 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.41285149012916 3.34992606991374 32.0056347585129 24.8227160709639 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.423692527789073 1.18322647850053 0.967700469655998 3.44727075237514 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147323284213227 0.606520289210795 0.0957931807466379 0.977282475312844 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0765667997552732 0.367746174683443 0.0206656507518451 0.374462189023382 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.40759530484622 3.33919816323295 32.9826212958706 24.1764722602641 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.446543327181466 1.17796985299592 1.10730970353865 3.29378491647612 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.160894922996978 0.616566537330902 0.118276713738017 0.972833493191645 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0876343375900192 0.378200343320985 0.0274962724572078 0.379882612282344 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.479806233554332 1.13397646465864 1.38903552607693 3.38532250315419 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.143190118060228 0.541581082744189 0.111817756171353 0.851597580280816 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0671490500034277 0.317165874959354 0.0188886579061644 0.304745751396496 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0401433650298317 0.208366161791868 0.00546170560685196 0.134113570803388 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.200597062580067 0.709828784900508 0.204078163860838 1.33909659126718 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0412516797429408 0.210290296492169 0.0054589703414771 0.128625071776163 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.019001144996938 0.0996867666969258 0.0010915679037978 0.0296583776772949 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0111915190642224 0.0594068204171401 0.000375034783976426 0.0110178707149655 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.196601870557242 0.715188440722059 0.21629509921266 1.31944768992905 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0411418262243819 0.216331964151333 0.00567812877261409 0.132681548544171 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.020243833205531 0.103499845402478 0.00121245852990137 0.0307214640821341 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0128031247382132 0.0614031268486188 0.000456523959155131 0.0108270508912554 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.22346784495743 2.00905715923639 9.06606848031601 10.2209832651647 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.373980237826444 0.994386280261532 0.894703964553248 2.69339829469411 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.164375587641125 0.603597773262188 0.155268401845262 1.04527994180266 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0916011991842493 0.405072739188735 0.0397787560156224 0.486633756369665 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.539071470666468 1.28024590372573 1.64203995556264 4.03920723422947 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0905852459420278 0.412627457860348 0.0331992571391926 0.479634674154827 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0386297199080761 0.198641578374857 0.00474973445328903 0.115518355081075 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0224457678694812 0.117804792373649 0.0015313633918294 0.0418187121662784 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.541006527987592 1.28092902598825 1.75208245137573 3.92563532796112 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0923197539050923 0.422403910960038 0.0369843945688878 0.488115804719655 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0413479497856788 0.206055735533366 0.00547046449103841 0.120446582596294 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0256497590028319 0.122517030231889 0.0019226774612114 0.0429223165499082 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.8582642761957 3.65505856898288 48.4964179932428 33.7890822613033 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.968360189042066 1.76800452690828 6.03226890908107 8.18996225532819 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.432105325141227 1.1018447443936 1.21493932990092 3.27341053393813 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.231605852923499 0.760420116297698 0.328483279022027 1.61524565388182 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.3841564576456 2.26118277893074 10.859702077364 11.9364204169325 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.225368422882792 0.782702158156578 0.268236916443796 1.63166398662984 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0840427969099481 0.391336235760353 0.0279770493267693 0.434565372015949 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0460861156200784 0.234440971887108 0.00699074755105955 0.161339892308997 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.38999300534652 2.25819645337898 11.3909703777652 11.6308728215222 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.236620356500089 0.791720810112724 0.308799939508248 1.60949640046694 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0914445169287269 0.403056955944169 0.0339339266722001 0.445123980491466 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0529385707137967 0.243177971542249 0.00912891030843766 0.166290011916264 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.60369042027025 10.3130577253185 535.486989936613 265.931099346624 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.68250403447549 4.53765848600647 82.5732336376118 54.1451262632202 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.84012300206053 2.7339983740501 21.107736639866 19.3436730450244 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.04833963156922 1.90318353544167 6.96059466578143 9.31626204448425 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.1794154337922 6.0355886978606 150.335880936089 84.5448831495288 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.08632942881528 2.00384303079308 6.90237279702476 9.68883153622237 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.379324207403085 1.08048598191364 0.840197225949247 3.02116788999329 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.181259885234274 0.679703644103784 0.173097535220215 1.26611252762714 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.12898541111273 5.99132794287547 151.06854688441 81.610453321367 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.11288120247593 1.97174528479517 7.21178308643654 8.97604762222616 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.409609168482818 1.07207017688501 0.935137257685185 2.81793853433904 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.205118477655194 0.682440926583778 0.205362519521495 1.20065717005564 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.3459650269219 17.0162341457805 1537.1896066697 710.52379737076 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.39929433212578 7.21711868046588 242.038252551374 134.279076175082 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.3166306743641 4.21644603238148 65.7045674630536 45.3209973106302 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.96589935596088 2.88190710159038 23.3031899933012 20.8464757396146 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.29498124316986 10.0738416244767 490.389380341924 240.860215205253 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.20257172505086 3.17516669224889 28.9209207112701 24.5343276613868 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.840538641122344 1.70679754975505 4.42640080515987 7.29015304410082 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.405209202472498 1.09763636585901 1.04987515875953 3.16368397401427 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.04623222900583 9.87276752218877 469.583008248691 223.274004272863 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.13197296292561 3.04237518923646 26.109712596593 21.0434132058019 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.842907857007862 1.63968466864815 4.03505124781504 6.24064729026924 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.423768481110897 1.06503133896507 0.968498095820581 2.73923006210217 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.35966104524278E-05 0.000161045641388249 2.86716434853783E-09 1.61077029907215E-07 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.5569824530121E-05 0.00039625758344768 7.57772322424293E-09 9.21489998000368E-07 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.24196800167591E-05 0.000790812550286187 3.16665357428419E-08 3.63309498039501E-06 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000161905433418114 0.00134036286458035 1.09258713547158E-07 1.02388830065708E-05 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.3656071184949E-05 0.000526985487638896 7.24635231490337E-09 1.42977446842407E-06 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000248257588010075 0.00215608123782218 1.03833197101995E-07 2.41557688755294E-05 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000536452547650241 0.00470694833291202 4.79360353952276E-07 0.000115305859379702 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.000953416684291545 0.00810983836521824 1.77898072384926E-06 0.000338643051231091 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00022251332507971 0.000879824454660453 2.79448217924151E-08 3.88210288862421E-06 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000259250757655142 0.000731864735025192 1.94251994881934E-07 2.9466046788692E-06 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000505989052405662 0.00155023871631529 1.05504502126212E-06 1.4140111290544E-05 NURBSSource NURBSSource 27 278 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000864541305939248 0.00267718161878923 3.25634996065361E-06 3.00022624501737E-05 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.104993610179787 0.52106652177885 0.0420482306851957 0.758519610908209 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0406399398100438 0.210031839263667 0.00546411455941074 0.120015693337287 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0225144457902089 0.119247631179362 0.00165525905884764 0.0389561144955855 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0145456266609204 0.0780304097274618 0.00069055396609132 0.0168488976109942 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0563815020725335 0.32966281645003 0.0124284334742733 0.313665417334144 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0155013935982717 0.0919686191374224 0.000894790680644691 0.0248197417756254 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00728449095808628 0.0433049745975709 0.00018942582900852 0.00582735549221591 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00440493417485806 0.0266497948059573 6.50388696172516E-05 0.00249829754595485 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0481522678098121 0.346250262627885 0.00937320240755243 0.347345803610245 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0148432776513636 0.0975412750953887 0.000833331241016213 0.0276317712146601 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00782255373280115 0.0461566496204208 0.000224805638432489 0.00620910223139363 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00519458607483121 0.0276220703741087 9.92732732574747E-05 0.00224897688025284 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.256348011145264 0.995358308567897 0.303002959028794 2.64321424947881 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0841667447612874 0.41710402286697 0.02485350850097 0.467934219649239 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.045412971250687 0.238085751210471 0.00690176195245466 0.154255101476337 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0291795484187784 0.15593860712613 0.00281717862115951 0.0667474050035443 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.120930667782613 0.651022697981359 0.0643342245867537 1.19900580019214 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0310889375216675 0.183827851515508 0.00366937020369024 0.0981244631972949 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0145518925074727 0.0862218882426761 0.000775237045661178 0.0222665655141725 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00866982490715337 0.0514448175701677 0.000265618613863471 0.00849036803859263 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.106864005834744 0.681776629111035 0.0544873120799368 1.31504779423809 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0297975765761287 0.19495773282237 0.00342028661215239 0.109859063527445 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0156274469671526 0.0922300228642934 0.0009010154054577 0.02466416967126 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.010265609146204 0.0550100330273881 0.000386242611405866 0.00882767723593818 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.727475755278059 1.77591648561257 2.81438622174082 7.58123473303812 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.193765083011318 0.808516891914862 0.15487210266733 1.70253278950181 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0947443247841139 0.472156905602971 0.0320794815077652 0.599165374545548 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0592103388074717 0.310976146593744 0.0119850237846242 0.263225775707011 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.323240219357808 1.21983306387084 0.569488797029381 3.9193451356113 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0629573283145868 0.366923409113398 0.0156407356387929 0.387260022958239 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0291618829188549 0.172226195667044 0.0031869984351233 0.0870499873665464 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0172824184072748 0.10195660699575 0.00109062835904264 0.0316720755161583 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.312574001750955 1.26336663444614 0.587975371419977 4.17608102976153 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0606624902621008 0.388801164807206 0.0147893528090659 0.433536756661407 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0313371375812363 0.184316485867283 0.00367516152648553 0.0980152037983389 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0204830154141707 0.109893777964115 0.00154674403602053 0.0349828633638432 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.19180018445938 4.38961907842179 56.180141394643 41.5227813554548 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.949068799025762 2.05972082642459 4.62856271062213 9.57220990331018 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.399238609401904 1.30048495236846 0.760225447105712 4.19132294872029 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.212749568435687 0.897156349745287 0.191767402820123 2.10294015920882 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.6686373510833 2.96348063439195 16.3762780768098 20.0741282879977 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236492077087222 1.05561740764736 0.285157106885233 3.02549166234061 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0903276225941235 0.514994241436713 0.0331907808102881 0.761207942575785 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0522912092014259 0.305329204635052 0.010533915324805 0.273145898799081 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.69656602270787 3.03286689866389 17.8086126283244 21.1177993650201 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.247410483363729 1.09941487893605 0.329273577279498 3.22817632304496 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.098396815248981 0.548228293111528 0.0395393747404313 0.850542561895949 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0620886280309016 0.328815806706657 0.0147946814224924 0.308904379881202 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.79014456845183 6.95209030090172 184.704997534371 102.628682768664 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.9030353231893 3.12155023089206 18.9832874184691 20.6484245406372 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.853893181854982 1.97765330261741 3.73453745787193 8.96464214949858 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.44519820358596 1.40288134784098 0.963304527187428 4.8514620023343 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.20475869827651 4.54768459644676 60.0585689506892 46.3823526279314 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.531575256711378 1.63017620370607 1.60589682865769 6.69283172383804 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.166506169749509 0.846789793458436 0.128733475826887 2.00708605491648 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.089324315648196 0.509312121289199 0.0324250023587123 0.750791020098821 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.26469725377187 4.64806764689043 64.9938733730959 49.1962221948296 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.566825759006991 1.67426519582938 1.89332127896149 6.92757080029747 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.187613159323596 0.888787398915374 0.16561479375423 2.15734058081781 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106831193667686 0.544250520937837 0.0462936960562937 0.833383736939923 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.548591276255157 1.51057879532213 1.6357969020495 5.74829204810721 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.15192725481878 0.666036223548003 0.095307050166778 1.1980013958438 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0767665320566959 0.38542294815007 0.0216602237704052 0.412281226089632 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0484944035170114 0.253005020178135 0.00835453580981604 0.179845926744114 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.240410824381623 1.02227099785288 0.321842827240101 2.8734686563941 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0510562602223093 0.298616125040033 0.0105553802734397 0.265466766479029 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0237059559261737 0.140248134959991 0.00217243122671432 0.0598300365920188 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0140836264235649 0.0828127896050612 0.000748943577452913 0.0217588375764661 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.227297023909209 1.06019871867009 0.323975857172012 3.07962481405522 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0497025908018726 0.316671905230541 0.0100671238779307 0.297473584827585 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0259870485787735 0.150648355113087 0.00259174929664531 0.0674563190119396 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0170310672330791 0.089384694004654 0.0010941861399632 0.0238106615985297 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.48969253352262 2.64211146488125 12.5459237508624 15.9985968934903 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.395138554781445 1.24076484625944 0.77931736751816 3.87817513454741 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.173457903851566 0.750629990671083 0.129644403268864 1.51692605471584 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.10176034184943 0.501105150597275 0.0399586645384686 0.695054228613645 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.70181245086628 1.8215178653563 3.01001944355267 8.28348989100036 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107601027220163 0.592089699702128 0.0525526905527975 1.02422825536107 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0477681830635135 0.280181941151342 0.00911607221152918 0.235270399492737 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0281923485875048 0.165046840321381 0.00308308850598051 0.0836653797781425 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.703820564620828 1.86824511889173 3.26319548353011 8.69995263345763 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.107278087199897 0.625168027166866 0.0545427248968556 1.13334043013998 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0524938515540905 0.300682508029249 0.0109240069142337 0.266693372007843 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0341075638270681 0.178606307689992 0.00444498462426111 0.0944242884304547 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.58403590924426 4.76094414223251 72.4745831991049 49.8732698536951 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08057645675833 2.19479877186046 6.26481521760602 10.9930518152487 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.461412676585749 1.38607788852919 1.09762453626382 4.79445323052759 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.244259934142345 0.960691605201606 0.281035697599071 2.44259633110571 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.87249774499501 3.18285128726709 21.2381166522249 23.7433977183204 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.273413585030313 1.12876030726283 0.42627896393879 3.50305151786587 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0998209266754396 0.557520820404312 0.0441340929437836 0.914441540777369 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0570438036860869 0.329948047701218 0.0131977351868042 0.327929936322178 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.90735805708154 3.24505440576624 23.1648460415166 24.9303425691936 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.28956325553386 1.17306500866661 0.499256181281681 3.72385673396956 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111412629967344 0.594406736789534 0.0554709637543645 1.01915100664445 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0691350949744089 0.356105543245429 0.0190023576067574 0.370957615611494 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.2182536065945 13.2793509241885 835.176741914651 379.701450757642 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.34819884823083 5.55549882089367 101.619280691247 64.6913488427462 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.14037843012574 3.39559453219313 24.8086969750634 25.0830910074181 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.20004450023705 2.40012233404137 7.82342328239518 13.1620673433149 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.05066667633127 8.40048716600635 295.396704809494 166.575777791239 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.48004486788451 2.81803328211894 13.4817649347466 19.1296546996674 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.484221501314095 1.53761381542862 1.44701739390162 6.20299167260136 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.216823735751174 0.97353428348007 0.259708037338696 2.68698327428962 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.19552772218288 8.53508310377813 319.174221900485 176.964664836211 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.54220517916162 2.83854228141365 14.7684648242343 19.2272225188239 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.540897168061144 1.5664119247581 1.73921719730868 6.24094490383411 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.261306439522855 1.00817072797433 0.354809214348321 2.74391641627193 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.8497379786981 21.8608580635643 2428.31820207395 1019.98154857092 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.67761995307554 8.84062582484669 314.565706131306 160.63764373228 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.95897122471907 5.22746603209573 84.0718156400219 57.5857148696655 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.33461844006276 3.61974036627158 29.4171902427181 28.4056155675221 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.5614870111915 13.8915289450391 942.740071803797 465.857808423368 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.03352579584786 4.44164476431005 57.0721082229586 47.7961085080485 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.13386672172223 2.40171296481847 8.32359649872549 14.2961370155838 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.521639967645281 1.56203333950005 1.78166917592854 6.46624490105211 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.8322734282503 14.0939783948569 1017.7824170823 498.801868714568 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.0015504413939 4.3615083329971 55.4149361466536 45.2375027243595 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.16677115472037 2.36156189465901 8.24777755948103 13.3878851264288 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.570163044753103 1.55139710280202 1.86663717063663 6.04286356669189 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.85158034590675E-05 5.91000103271907E-05 6.58842060852025E-10 2.41701594780332E-09 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.000120681521485637 0.000190912366632978 7.26120423530233E-09 2.53895890273471E-08 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.000250852217535629 0.000396617470035096 3.22975667719091E-08 1.10282011284185E-07 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.000463027332204109 0.000810675242234498 2.23960562074717E-07 3.03339176194392E-06 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.27613455810784E-05 6.85068003567128E-05 2.37910848424375E-09 2.1610935872997E-08 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.000318162718145084 0.000349926658316536 3.85691436745434E-08 5.89059794856695E-07 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.000687211052392579 0.000795613189757376 1.8488483582155E-07 3.06145900672061E-06 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00129447277034697 0.00183812741211295 1.71953761332535E-06 3.34362825377133E-05 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00051146096414679 0.000269024014793896 1.12394588076581E-06 1.79813143674106E-07 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.000221835293141154 0.000535111782929876 1.55107389912629E-07 2.51737053705167E-07 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.000381756999905016 0.00131153168094821 1.69237404668845E-06 6.64031640833557E-06 NURBSSource NURBSSource 27 279 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.000971486725654071 0.00294837005405877 8.80087841305237E-06 5.17644897562116E-05 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.164585609223701 0.144223487716139 0.0727139616761129 0.0522874985590147 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0683248237976208 0.0597098986228301 0.012101101292207 0.00918767408395266 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0383482627889784 0.0334881121036044 0.00377282664073615 0.00288311193120162 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0249120556777907 0.0218025433357397 0.00157646803079636 0.00121440752743341 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0960427100622906 0.0825473900612101 0.0244485318981971 0.017452078963994 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0266163330593537 0.0230869339069707 0.00181507783322994 0.0013945768911173 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0124746166613256 0.0108363727106282 0.000384311710983627 0.000319138844069163 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00736204588774082 0.00682022547079406 0.000124120619607233 0.000157598513273328 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.078942856944461 0.083249900771817 0.016526564147951 0.0178295401957521 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0247135538015376 0.0238238152459476 0.00160448463412506 0.0014457166122557 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0130578004487742 0.0115152667236993 0.000445382267044709 0.000323147352296744 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00872783348299232 0.00784425239287792 0.000192576731883991 0.000172561464458233 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327395743352669 0.290232833349691 0.297527754850822 0.202696261003253 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.136494353921534 0.119503566592203 0.0488358729414438 0.0363745347034602 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0766840819502637 0.0669798534344901 0.0151924080252856 0.0115182010256147 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0498181159281356 0.0435558158168438 0.00635806723278866 0.00487098809274119 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.19164986220894 0.165347704794011 0.0993000659850119 0.0682473545277782 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0532281137060804 0.0461714563022184 0.00731321964138184 0.00553148531352632 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0249329878876083 0.0216241492603833 0.00156871612061666 0.00123998840605593 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0145707873825289 0.013020069275558 0.000515456285813698 0.000496246804347981 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.157862548888663 0.166334963392265 0.0673034049917074 0.0697237666432752 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.049416805304649 0.0476436174610968 0.00644053743875264 0.005794646264585 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0260592574958325 0.022846036490657 0.00179240890070901 0.00130326295097534 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0171183560775667 0.0143878271358201 0.00076141635591754 0.000534175636364885 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.647810360658006 0.589845607680682 1.22377182758451 0.781794722808239 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.271932006179699 0.23986620489448 0.197904118105559 0.14284740187217 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.153199330070657 0.134062824922382 0.0612920021093108 0.0457006488896825 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0996030352965236 0.0871055523978487 0.0256290622359631 0.0194351858903828 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.38075883624287 0.333297937200031 0.405400471443643 0.264969763533974 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10641299976306 0.0923867283288549 0.0294660005545278 0.0219333764498764 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.049861335172227 0.043225548773597 0.00635110576226969 0.00488481730529567 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0290621174558153 0.0256401783894531 0.00211358328410169 0.00180707916452147 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.315401315519041 0.332911586973303 0.277909281959545 0.268920949272722 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0987568528193362 0.0952822470619219 0.0259725422196447 0.0230022463890043 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0520743261479068 0.0455743103683566 0.00723101917970159 0.00522960598410555 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0340287341875067 0.027883598029433 0.00307492339891402 0.00198027635061486 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.90752884059659 1.83042877860365 11.8203881597543 6.43170987943348 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.802936266434872 0.734227410074789 1.83098652649381 1.23878583073769 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.455795390212578 0.405669818730848 0.56219943005377 0.400683746039672 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.297519084033602 0.262276345097559 0.234165577593243 0.171893583232733 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11631812860757 1.03325512148884 3.80316554801995 2.25799086087191 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.317904246732117 0.278700026720638 0.269273238608029 0.193590023373352 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.149572703786471 0.129830859168237 0.0580032300194918 0.0432882348866012 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0871378983973976 0.076579091587384 0.0194765412947614 0.0154676968282475 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.943489215090362 1.00593358852611 2.72256296091777 2.19140387751341 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.294611077910113 0.286307203821927 0.240168048224361 0.199092978999877 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.155650010666128 0.136527995925574 0.0664940581587283 0.0459280393850564 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.101631991151678 0.0826015475001458 0.0283377117528521 0.0170389022019071 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.18192316055804 3.09944676256767 34.4898530128795 17.099494887332 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.3233820474761 1.24127639945089 5.17458162182928 3.36112335943428 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.75299740102356 0.683096081108352 1.57631146243951 1.09747462232756 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.493130203794248 0.43966524069613 0.655784339409637 0.471630039859304 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.84408730064475 1.7522824780584 10.9279780688724 6.03721659945013 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.527090568165364 0.468363835946155 0.754879196723791 0.532902097268281 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.249190440305656 0.217055691639109 0.162454669953178 0.119573668293019 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.145355138023484 0.127800312571621 0.05469487029754 0.0425217552143221 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58579092190041 1.67502301103371 8.1153058891536 5.61068326486347 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.488255454736551 0.47927272634834 0.680251569099956 0.537233285971429 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.258066900129734 0.228094553722676 0.187378333224123 0.124342924786205 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.16864886356988 0.137629366295942 0.079890416636517 0.0460024307125425 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.517273996370425 0.470060786129879 0.792663015063119 0.525163196588806 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.215406747446439 0.190344265776531 0.12808387880288 0.094339320614331 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.121005307116535 0.106265313809733 0.0396535836876399 0.0300105273099728 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0786014263502007 0.0690062775250979 0.0165831129733604 0.0127402280563132 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.303739604414319 0.266317475582701 0.262488144772341 0.179100641647161 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0839789413387444 0.0729078114199167 0.0189704350394969 0.0143232531512871 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0391404610044509 0.0342306475824396 0.00406077883142572 0.00321741465619498 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0228767325238864 0.0203581720715774 0.00135307192728574 0.00120886550571171 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.252482881047941 0.266456898881025 0.18025326084975 0.182140931035195 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0786763921585692 0.0751676780963833 0.0168392791744775 0.014986875402626 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0416757262539855 0.0362948323113513 0.0047094812043935 0.00345539785193264 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0275207023378519 0.0223492226957979 0.00203043101790026 0.00132197785065624 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.02125048890707 0.958242481916859 3.28230881075191 2.00515417795086 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.427813923346788 0.38362612412439 0.519813547954154 0.369735133164248 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241188140843974 0.21310624714988 0.160094046650374 0.118644492490251 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.156929011573163 0.138149716657899 0.0668263618718982 0.0506512270416485 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.600012550290532 0.54083952951125 1.07172493741228 0.695018980143906 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.167770553557447 0.146009820610683 0.076526307944134 0.056725299645503 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0782714314470366 0.0684629471323624 0.0163963061379182 0.0127345289999819 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.04570485342267 0.0404587278713525 0.00551181438717846 0.00460798673185747 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.503085807724137 0.535280680660737 0.75005491603116 0.696012442837769 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.157052331171008 0.150313954489431 0.0682242967495158 0.0589494822345418 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0832488310810039 0.0724870056342682 0.0190433610587089 0.0137424485735666 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0548703620762419 0.0440940639488109 0.00823345738424156 0.00511446305177287 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.0249565195738 1.95653052279158 13.8577026692612 7.51300158001902 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.845783842034903 0.778719710203648 2.11863576807604 1.44262491436468 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.478893397924336 0.429454223664084 0.647832596910172 0.466552208653536 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.312487074911834 0.277263609331552 0.26979287925125 0.200014816485832 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.18102559223172 1.105989167405 4.42297704776493 2.67056576472018 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.334457943324696 0.293320444143083 0.309586767437791 0.223888394591814 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.156544842818329 0.137080051629436 0.0662280718631202 0.0505052572408697 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0914153352371126 0.0808175865317007 0.0223590404235591 0.0180115129615847 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.00620607202699 1.07451200265218 3.20518044183893 2.57489121240466 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.312513883657249 0.301229936915498 0.278427348793575 0.228731304989091 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.165942843600476 0.144910665364326 0.0773806061660326 0.053785852052388 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109370854269303 0.0879168636561053 0.0334986463222054 0.0199457219790676 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.14051349106743 6.08477710143395 138.096972163292 63.2418941808982 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.48744636787129 2.40025850912151 20.0677439936572 12.126791351685 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.40609242541136 1.31986306629172 5.97032301634499 4.04166871141935 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.92170405490297 0.845828495339937 2.467123870091 1.74675991805573 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.52931680249197 3.45833277126943 43.9417312300296 22.396878489403 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.992279766487589 0.905097121959378 2.87846466016584 1.99563792823403 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.470753948830542 0.416940325297385 0.615125832962087 0.453181478403665 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.276223706666203 0.244614496763158 0.209240298249516 0.160331327630671 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.11731207465006 3.23122236806903 34.4028262259643 19.4978803810795 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.924403492598974 0.917116359965693 2.649062433847 1.90344215965414 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.489848432088768 0.440867013700489 0.72494511246929 0.454359815930195 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.323818944481379 0.2669092804044 0.314633946067639 0.168031872425241 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.3062098028704 10.2719559956913 396.9515779484 173.27568601713 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.12847573028163 4.04093368956646 57.4616262512801 32.4186743806164 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.31528571451235 2.22094962849915 16.8400440045724 10.8461798261366 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.51558932386483 1.42360668245422 6.89396534653745 4.73473073035659 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.97534689682095 5.91781536837116 130.506830076684 62.1661457359325 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.65636508134029 1.55474150214448 8.37361940237078 5.61723565226713 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.79042068901901 0.712518661839462 1.78118373645661 1.28771086437601 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.466743428399043 0.415361365032696 0.610722042350007 0.453499792471681 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.315979888272 5.43875083574183 103.679787042104 51.7050323344566 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.53929195028746 1.54146480890414 7.76274631304168 4.96780584933665 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.809153600668929 0.7479234585395 2.09064661469829 1.21150775962282 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.536107012065322 0.45400196944583 0.910534871025449 0.449188939687733 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0153872931613965 0.0114397892829802 0.00117595510842348 0.000926805889910166 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0055362309137785 0.00362483968559577 0.000121477773783319 8.73733143999667E-05 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00376967631950274 0.00199549929132026 4.47146760608626E-05 2.40337565134813E-05 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00348742161781739 0.00152521979468463 3.40065297061989E-05 1.29579906198107E-05 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0206775524060271 0.0143510201013275 0.00217381095813286 0.0013010906167965 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00937781340272416 0.00503747725671875 0.000345543679896422 0.000149828952511318 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00814863155591898 0.00316697757918643 0.000195206769671006 5.05867309665295E-05 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00874073286540978 0.00278976533244414 0.000179295521413773 3.75705295887521E-05 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0120335949762674 0.00879676926792684 0.000765076836245009 0.000334771815496286 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00449189094816228 0.00333199785894752 8.83369194490726E-05 4.19376316595649E-05 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00325721040885471 0.00218803882369288 4.05221805753221E-05 1.97939744138249E-05 NURBSSource NURBSSource 28 280 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00387587589812439 0.00207487731518143 5.50482887615638E-05 2.36874382291941E-05 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.278911806875072 0.205933207282934 0.245730784096245 0.114122390622524 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113520351508554 0.0831186384101694 0.0387916061267642 0.0187603146666498 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0631320372629788 0.0461885577499864 0.011793930383541 0.00578957095783323 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0407992810135829 0.0298315657705767 0.0048615499001946 0.00242510523945573 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.179300293524143 0.132649006830136 0.103060813753016 0.049194236208875 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0545799972666392 0.039917798128056 0.00950176102668636 0.00462702846221365 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0270846636073828 0.0192380159601592 0.00224525982924845 0.00109665299109578 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0175089512429201 0.0115293030871276 0.000852184599436905 0.000408908056229074 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.142154082797331 0.105837684395545 0.0659077463925472 0.029025064800547 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0400243180926012 0.0298437571889768 0.00497470562067258 0.00236977285248143 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0202902983594529 0.015442896609913 0.00126188599460329 0.000672532448938355 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0133280077551542 0.0102595010257396 0.000533249579820453 0.000325143687210875 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.550216520343594 0.415691476621388 0.995528201115089 0.436640196226793 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.226408676788242 0.166198924683094 0.157323791516152 0.0730453557338503 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126023784565893 0.0922867059046556 0.0476761408597192 0.0226773624844745 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0813606848569942 0.0595898120853038 0.0196142922584519 0.00949190307982262 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.353851529099078 0.264094257798701 0.412519701877068 0.186698637397413 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107572716674968 0.0789602780171004 0.0376758747861458 0.0176686894957033 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0521394119873069 0.0378744137766189 0.00867003510649307 0.00414451403465093 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.031649567374484 0.0224112643725535 0.00302723949187661 0.00148375715014495 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.282271227466951 0.211062896060783 0.262902556213466 0.112422033124402 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0794328236303161 0.0592963460835497 0.0195496173293701 0.00927876867917737 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0400404891107362 0.030570105032705 0.0048836704415216 0.00259361364775488 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0255844483516309 0.0200395276906807 0.00194707219678076 0.00118763175928051 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.06950777547343 0.859594565597769 3.98015355545207 1.7296232552019 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.450473454291969 0.334121858661288 0.636529119735819 0.285664312570156 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.25164461738101 0.184776648475171 0.192676039073402 0.0891494426324247 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.162540570999395 0.119196558862215 0.0791552940041981 0.0373880100771717 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.6948468539363 0.536657159935518 1.64656591548934 0.731754349926004 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.214004188206727 0.157829526403323 0.151646801985494 0.0690885147864078 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.103146822116467 0.0754740996391227 0.0348864732379368 0.0161788829734447 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0614187020933235 0.0444774846222846 0.0120693860247455 0.00571737055755374 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.558227735641732 0.425128520999959 1.06055253516741 0.431604395520995 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.158357581833457 0.118482154408751 0.0785148368487037 0.0363167466462599 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.079749389258264 0.0610136804410171 0.0195035902952541 0.0101221658114517 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0505614134767472 0.0398056792992537 0.00765026061792338 0.0045412023541975 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.05680055284191 2.7991643493131 36.9176314687338 16.3699172759207 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.30455993281802 1.04671660695986 5.66836864916754 2.58423018363534 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.745593965067856 0.562807922237399 1.74599987060992 0.786678735373997 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.485259807267145 0.359561872106488 0.721032467836053 0.328891860288651 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.97713844932231 1.72761579112588 14.8803365142998 6.83352591270377 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.63087820494275 0.48401647017184 1.36149029991416 0.624859430871934 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.307391820945983 0.227855064397814 0.319396196249651 0.143263551546989 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.182459632429507 0.133684750478543 0.111879284543276 0.0502600831416604 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.59797666023994 1.36622752613968 9.63970080485151 3.86676202349782 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.471759669926978 0.359390167997618 0.733814267685221 0.308711565169672 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.238497119640729 0.184050056549754 0.18278037426447 0.0861929891719128 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.151136724956352 0.11944781707751 0.0715682294470764 0.0382277040482115 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.05777389684771 4.8104031586796 105.89644337731 46.7352908463043 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.11396541535171 1.80774435894559 15.6273108340605 7.38072313675231 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.21933206217562 0.959161457743409 4.79426308815835 2.20744537975694 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.8010277889958 0.605894244304575 1.99564932610093 0.910235501001008 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.24020194100465 2.98878891844182 42.5030457434671 19.6625280740318 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.03237146717571 0.828543144841972 3.77085823189166 1.79269331874035 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.508906743347483 0.384793761364308 0.890292671457027 0.403131987801202 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.303476428056347 0.224422086326969 0.314881393610446 0.140099557167473 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.62194112049696 2.37843190384037 27.628853432382 11.1212561507487 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.779989333452801 0.610910770112503 2.09682902965437 0.836009796669269 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.397120559147864 0.310175107524062 0.529269277766533 0.231106586557374 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.252043893034131 0.200527126522713 0.208531711434871 0.102158884427174 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.843900398825841 0.680861683096631 2.54044421160369 1.18089930847632 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.349711939430869 0.265457653642479 0.404406166352116 0.194180483140719 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.194651288081555 0.146093679994453 0.122746267252055 0.0599721575491889 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.125480754588352 0.0939342590494485 0.0504562334602448 0.0250196804998724 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.548686644886955 0.427471943681125 1.05732662029332 0.50210955942607 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.166922297564535 0.126064931553876 0.0964455508338958 0.0472203368665314 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.080480153830749 0.0600905647801141 0.0221052274101392 0.0109823938957902 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0481349080957968 0.0353855156967956 0.00764611442584371 0.00388921493838435 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.445577124537177 0.336836602247927 0.697313529960281 0.29160141162477 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.125671620471894 0.0946467458204216 0.0519339730408373 0.0245965075369435 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0635080084616851 0.04885167937276 0.0128605934198438 0.00686301010863156 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.040256039878874 0.0320635455458507 0.00503928139998181 0.00309765559656413 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.63674580786031 1.41916416655458 10.2677101968764 4.75313684991199 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.69095711062318 0.537903541693356 1.6215240788057 0.767513958075562 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.387738202005932 0.293406252129631 0.494642927350571 0.236498200011914 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.25047389481475 0.188149850843817 0.203321116125465 0.0987604909300389 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06822880953652 0.878620395407992 4.23011050156679 1.99168118138857 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.331831199681241 0.253229672138578 0.387374056969004 0.18640924438589 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.160008835109543 0.120173645460908 0.0893242175107703 0.0432328689347565 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0949733622628882 0.0706022006036777 0.0310067756760624 0.0152212703075195 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.872066168548758 0.690432983441522 2.79701983485055 1.13824989747208 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.250554218076906 0.189841761731699 0.210706646771397 0.0958643617781291 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.126794006884716 0.0977628635781017 0.0522008695161554 0.0267068742274438 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0801337375713057 0.0640196116813736 0.0203488907296693 0.0119446512926067 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.21089212937534 2.981262695391 42.6138727456073 19.5554988330515 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.34500651386411 1.11016639219521 6.4198924865225 3.11286932732774 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.766187424113163 0.594934738953689 1.97407501270588 0.941387364261921 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.498272266063304 0.378535360650405 0.816361142375749 0.390741385621098 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.07371732204116 1.8394815145091 17.249868526977 8.11667296435738 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.654956483509461 0.5151506456651 1.54687011393849 0.750653433807424 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.318469756174939 0.24188045829802 0.360322879828664 0.171842594549458 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.189080361429157 0.141632266614149 0.126191288917716 0.0602434149802126 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.6905917642257 1.45897180486736 11.3505816616332 4.66041104694935 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.497583573105891 0.384667565698255 0.864282060227318 0.371596073482168 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.253170216699608 0.196928422375743 0.216344687198861 0.103215819498615 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.160213498104222 0.128519813009389 0.0845816068424284 0.0458992422525161 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.65302768321363 9.44828937656684 411.774813968824 183.269899254969 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.84793115747756 3.55739210531099 58.1375027053287 29.2888309579046 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.1836538911286 1.88548053736969 17.1845043126685 8.79895934587849 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.4412209155293 1.17751605887611 7.1054003669763 3.57013553986297 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.17809680698806 5.93663883792825 171.261169990119 78.1835661158269 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.89872379879585 1.65216612173264 14.5508388938795 7.35915626999489 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.939044278764981 0.761032422040307 3.33950538776764 1.66840336978161 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.563558838069597 0.439432888714574 1.17892764827703 0.57133479775426 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.03877108306926 4.80632431958616 112.897604317478 46.1288116397623 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.46188483468593 1.24400869298712 8.32055663605605 3.39473566354974 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.761212696109055 0.621801399317463 2.19687713379771 0.898871890731548 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.485748422926908 0.399643430343791 0.883154633905862 0.390542590165922 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 16.1838002770009 15.9966126583117 1178.31370700495 519.995215702724 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.33481799778389 6.06093862174335 162.892626290691 82.9134045244523 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.53891802067868 3.22913623388402 46.9526474060046 25.1184982405052 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.3228810860684 2.0160641384257 19.0264713060565 10.2473431751248 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.5386516525638 10.2678224724543 539.306637359362 240.521527490478 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.185622503701 2.91694344988295 46.0750403414972 24.3032691140981 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.5697207022225 1.3463782406497 10.446007850462 5.7372178744364 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.944051605534559 0.775387646870548 3.62167266563111 1.98792374774831 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.61625157379883 8.37294067029586 341.992101925181 138.294964067595 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.45815693875058 2.20813792840401 25.7195069638928 10.2055181516686 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.293630916674 1.10623330160073 7.1816450200345 2.65373941214714 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.834512312620859 0.703918955319582 2.98473962245432 1.12958303469081 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0335868155772425 0.0351490101349074 0.00278166336825635 0.00770565525025337 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00979331647261937 0.010693895255203 0.000221201088771522 0.000721580817614681 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00509344003678891 0.00530575037497971 5.88555515143293E-05 0.000172220211470809 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00353338699821954 0.00339537363291975 2.91310518366227E-05 6.62510887775808E-05 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0269187055381031 0.0304718290561004 0.00203468796709256 0.00532925496931497 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0104498184037148 0.0115114109177671 0.000284439917868704 0.000731023573218387 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0074475612187867 0.00820288331745086 0.000151002907779432 0.000373958980199788 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00725761951886906 0.0087753444372356 0.000179626012686092 0.000541078022982908 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0209555427757558 0.0257315407078999 0.00188406114824893 0.00256765632645763 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00736178662806325 0.0131323601370027 0.000198610462460933 0.000605012700041307 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00506199358436621 0.00944209810670679 8.95945379277363E-05 0.000283690787701395 NURBSSource NURBSSource 28 281 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00490507778504949 0.00855461358420858 9.61205098631861E-05 0.000243138811351276 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.398176670844638 0.378021312531199 0.589707090874896 0.453593343677593 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.159557887445193 0.158684007060521 0.0799356839422736 0.0838921625240205 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.088667916803627 0.0898248710338092 0.0232144909761251 0.0274471025511676 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0571927112426308 0.0585550776326588 0.00938579161039285 0.0117384797660745 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.255288142021115 0.252496391434682 0.22612540490771 0.207611690283179 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0764273465095561 0.0761685261328518 0.0178525884173027 0.0209120947945677 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.037346067888968 0.0371342826200878 0.00406103827009872 0.00519296845662008 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0233257796422278 0.0239222578786479 0.0014977811144872 0.00238191219242956 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.222213043657098 0.207802738326546 0.165275076206358 0.137267355439979 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0600372104304821 0.0649198077689941 0.0107423483352972 0.0141019637747798 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0296370724167248 0.0361531805655681 0.00259643183397288 0.00437769803248117 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0189467156154306 0.0254270999358861 0.00104294024151341 0.00212270468280546 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.789450843220964 0.753519836122774 2.71790306370935 1.66305667194605 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.321000129089125 0.31358276937912 0.363325135204709 0.306480491895532 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.178095252463205 0.178203720033715 0.101290675187667 0.102585256371725 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.114534341037869 0.116514541966279 0.0397232566065929 0.0447387102838232 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.509893393765738 0.497994258140762 1.03749441722673 0.749586466560126 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.151670821559342 0.15034364885803 0.0759334145929362 0.0773939512374088 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0729939760977864 0.0723850237084997 0.0164956046746801 0.018858269476995 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0437397772654343 0.0441468902005114 0.00563774820862807 0.00746591297184726 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.443828934724474 0.410972598942658 0.732653270211762 0.502552578476437 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120010286387064 0.127045361673939 0.0447007991700422 0.0522322948840142 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0585867894924302 0.0701172930024189 0.0103448811140501 0.0163795455555318 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0361786269080185 0.048135876913578 0.00387850517197776 0.00773100974174679 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.56873918861844 1.5272872876186 12.3073113907236 6.32035315859734 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.644553649346324 0.622201663774008 1.6837421096378 1.12471988150254 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.359192124456977 0.352809937664705 0.46161627382014 0.377674743046201 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.230762997058419 0.231055757440152 0.176019619027476 0.166818070035153 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01649453813234 0.993881319676036 4.76016868550796 2.79467025773254 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.304265676039224 0.298358458555428 0.339763688558154 0.287685637702509 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.14547597941347 0.143623837472623 0.0703003812973741 0.0709734089852827 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.085756184400712 0.0860338682793247 0.023165537965314 0.0268870983797703 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.880436687161645 0.824072917648974 3.31594196953511 1.88066442848713 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.242654842473094 0.249800924358771 0.200421282598675 0.190272484950126 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.11782025405009 0.138065196469767 0.0443862120184083 0.0614912543475565 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0717921707573559 0.0943633515686488 0.0160156837088874 0.0293702409018599 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.77142666176554 4.75780267911404 127.046145618649 55.099405257476 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.92295257379634 1.88190645226311 18.4050749680878 9.22903073233558 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.0811002803069 1.05054694787692 5.19389336198592 3.00906659735954 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.700131224173131 0.682600254975044 1.98572352175676 1.31261409853851 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.03170195809502 3.01481817189239 50.2879988082334 23.7777620748042 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.916788645180469 0.892474813566002 3.82101936623113 2.35814060185446 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.439888047874006 0.427977615980336 0.766816935737641 0.580640707315291 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.257622409506631 0.255050947213945 0.241771771586638 0.218073300053893 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.59909624826584 2.52830923207672 35.1557382647149 15.9689215313697 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.742170333028889 0.731001704099401 2.34072371240658 1.44941130366859 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.366764690254505 0.399040010367462 0.523957993402552 0.460974457245282 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.222925861184251 0.273168659846876 0.184411603393384 0.2261123209178 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.03917779044417 8.05784593694524 367.149180911702 152.631051926918 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.20790263851186 3.16715043494586 54.3768210472531 24.9969901873829 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.79401197461311 1.75719909744556 15.6179598353054 8.03116272475036 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.1642660385188 1.135830659333 6.05692327323343 3.45908679777599 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.07594894523678 5.075882054202 147.274148767672 66.1073274449667 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.52710084925182 1.49830910089966 11.6822749350966 6.45814542450865 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.736378015192436 0.71594122173885 2.38435307521581 1.57667146743615 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.432638221458801 0.425186246188364 0.751551156979086 0.586635132974184 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.35252902802267 4.28038092963194 103.856398020027 44.1534453643342 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.23976702115138 1.21669608274165 7.27709747059402 3.80979721050801 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.623989947331388 0.651564878323427 1.7041257235123 1.16282347623206 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.383303994108222 0.443109520880106 0.614309448346406 0.56298359710029 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.27728457263852 1.22975569652335 8.09812043623732 4.37412451561439 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.51855230631757 0.50190899569004 1.08842148983317 0.778149670478753 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.287157169379701 0.284778265824755 0.297527140398332 0.259961653213865 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.184278615251604 0.186387679632864 0.113963076469931 0.114131660561212 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.826118064042629 0.805061493443645 3.08380957223582 1.94986997252547 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245388369466274 0.242842999585811 0.22022780240524 0.199661618085066 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116699163825151 0.116869559479693 0.045658826684271 0.0488573091185363 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0692634084711945 0.0704020109794882 0.015236481167303 0.0186062601587035 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.714398640612076 0.663425090932915 2.15266980539864 1.29068554699713 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196592883277764 0.205061749166753 0.130311831116659 0.133010041311626 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0949371906317119 0.11416256323604 0.0287275625946476 0.0436886617864032 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.058210477755257 0.0779449799592001 0.010509941742466 0.0204247440760474 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.56253644362869 2.51189719331718 35.8853944181233 16.9861631335152 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03612569601981 1.00178399808282 4.98973251967004 2.91376518772493 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.578707271811759 0.5639297978637 1.37743596542571 0.960649480793997 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.37238362334062 0.368482883624559 0.522240917280787 0.421773116164375 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.64055232960624 1.61596097917009 13.8513339831889 7.45074831761644 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.492973854102116 0.48237336376908 1.00853633869797 0.748666274640781 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.234055351876162 0.231947409661257 0.201956311806514 0.184553670932645 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.137714855714519 0.138740253295965 0.0651668108625112 0.0692360438527413 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.40898065730796 1.34180036637548 9.64644003262615 4.94954072269129 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.399045770712245 0.402773770230629 0.608520995197183 0.480080966212117 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193093006624576 0.224011123212435 0.131443633010371 0.16005431797986 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.11741203835236 0.15323347411254 0.0463787359132364 0.0766017203595747 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.19467108019942 5.15029424599315 154.348011196653 67.1195090962008 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.06728550890259 2.01967665391679 22.2209925214465 11.1609932707377 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.15697024195359 1.12487653557536 6.2853583854646 3.60272647834434 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.749031776832031 0.73028076455033 2.4133529925673 1.56164321641447 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.2769078506004 3.26329050961153 60.4099193287805 29.2060561977681 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.986754281506662 0.965388130168903 4.62657609890799 2.86975899930374 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.471130186596651 0.46196814859036 0.926236085384997 0.70229862274674 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.277034883635029 0.275461131614391 0.293217601128719 0.26193920081299 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.79882539984622 2.73173247080447 42.3930317640836 19.4126614174106 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.805734010726497 0.795271493437496 2.87557489479152 1.74744890905806 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.397107149126827 0.435977773602619 0.642096989551174 0.568308106102807 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.242146452702911 0.298466640636199 0.226021726482126 0.273733937900294 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.9775089427626 15.934154181794 1499.39068494296 609.826018507249 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.25102089175421 6.19114985051917 221.244119560373 96.1484698213412 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.45055200630795 3.40086472173567 64.4975444688768 29.9853375898364 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.22795754981425 2.18468655540752 25.4714665184887 12.6682161842436 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.0475661674192 10.1185550867404 613.132221089599 280.220836870329 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.99824214334405 2.99491223111869 51.9823446536879 27.6788883379201 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.4427029354533 1.42766215639699 10.9979102178714 6.74647960256799 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.855705481105373 0.84406285762555 3.55299953528256 2.47053994695403 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.69630352120473 8.61490898875406 446.198517043097 186.333296682126 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.46352234398562 2.42736110593699 33.0377058460256 14.9689898837954 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25035064862604 1.27893030180239 8.13954548052755 4.5072904990709 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.785617658804115 0.852695038561583 3.10331044511154 2.06296716227843 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 27.5028048954549 27.0271392699405 7789.778278445 1860.54901546982 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 10.7079015115611 10.3986679281311 1101.44048058096 274.593942386571 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.9386047629638 5.69124331935989 531.959428442683 87.1935211171265 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.84068033167864 3.64249518037279 299.551363697939 37.4137791539712 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 18.0349672284086 17.623991740861 5985.64244117374 1110.08045544915 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.52480190140116 5.33601426484317 748.65908741609 125.11839676947 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.70136826411162 2.56522788411127 297.954162564884 32.2690510937979 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.59778395333773 1.52145768790673 125.49207321022 12.8748312167624 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.5688955696518 17.2881605587549 1654.94999053743 58170.6528177055 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.38546490810899 4.59543053429919 179.932800085684 1828.21392941567 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.52655091528384 2.38835381477179 3387.920258705 523.354903420732 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.44397654746515 1.52229242117766 29.0011673232709 67.3469985931073 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0140543486031613 0.0462804956240581 0.000497309448350277 0.0171825644864597 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00473141665787952 0.0149394470325374 5.37773930747638E-05 0.00159789590809284 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00276764545389148 0.00881030134870903 1.67591279920336E-05 0.000487946538286338 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00215922238431589 0.00723568227696631 9.55624999173154E-06 0.00030152230688569 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00952007825661929 0.0472554761185984 0.000354869793311194 0.0141810291991092 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00454796084045776 0.0190846832690123 8.43370239375472E-05 0.00209966622527462 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00409275388340973 0.014602906945504 7.92200597463639E-05 0.00122880404330958 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0045511311970461 0.0156581656972279 0.00011376372996457 0.00147253881950825 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0068875483354207 0.0299905297359521 0.000182476729539369 0.00350401162242767 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00306539662224695 0.0127678530048885 3.10760590313812E-05 0.000566444108732886 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00249121145385365 0.00926371712214307 1.58111235538314E-05 0.000270460144620355 NURBSSource NURBSSource 28 282 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00287078574859198 0.00906266339686258 1.82856237035737E-05 0.000244152040210024 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1625662120619 0.373406967072644 0.102782999281199 0.526120516555832 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0648240053061707 0.15302437689554 0.0153122093635016 0.0882577895364379 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0358824356127007 0.0850616011003038 0.00461385075564 0.0271730389428586 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0231401607495168 0.0549915367749021 0.00189031296706342 0.0114345824613067 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.1009893064574 0.244585560250743 0.0415842579878855 0.228255910554167 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0304618943124171 0.0748571946040047 0.00377254424147683 0.0224668707191574 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0150490736782913 0.0374120975294835 0.000982459309132127 0.00606011616432705 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00978163797512307 0.0257101613935045 0.000469270564678811 0.00329544264375024 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0768173860447375 0.199489064952192 0.0230667398114799 0.143864696324009 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0230105408518277 0.0583313545858247 0.0020397258446435 0.0115085020857684 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.012485647960345 0.0304097448223532 0.000611826224587836 0.00294867536616617 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00869639198647517 0.0205675802651014 0.000286182448766981 0.00132375610081125 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.337157435950956 0.718930545070383 0.500329839438884 1.81561900847892 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.129752415208202 0.302718727221291 0.0642208169976594 0.335867322830841 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0716367758017718 0.168794654588164 0.0189484340926528 0.10445273470344 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0461312368557033 0.10901865688907 0.00771801775324374 0.0436872800632368 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.203469544402105 0.473329018497746 0.178922532510639 0.818482123916459 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0604929159935758 0.144444430668768 0.0150271609626146 0.0807743394394843 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0293556450492185 0.0698735376918466 0.00366260350642998 0.0198266692901113 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0180625584567592 0.0435210017796623 0.00150432151756886 0.00848369466836806 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.154236388971305 0.391216634513805 0.0972038753900114 0.554411056533742 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0456837257636949 0.112693634343558 0.00819876771022978 0.0439852142197913 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0245994754421847 0.0575244769661613 0.00246192867425734 0.0108912959342964 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0166675495316544 0.0375763925450879 0.00113532074701165 0.00453949715003024 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.75763304992312 1.34693498651623 2.93741872612416 5.77291104761153 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.26528167693489 0.597451588592141 0.288668257470222 1.25621425829966 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143860487188196 0.336179157395469 0.0792328380200889 0.405731267966255 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0923632210562708 0.217349780620581 0.0317473354738073 0.17031713507026 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.432956642283287 0.911762052720397 0.908935624052117 2.8164756210731 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.121279674286664 0.285448626142399 0.0621384965245361 0.307026175255412 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0583905207495198 0.137051773445537 0.0144694431547654 0.0734765518517809 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0353416467649265 0.0826634946239693 0.00559494706768547 0.0284663030420211 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.323866902415691 0.762072723424534 0.471582585060845 2.01659991348121 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0912759282810137 0.223055763482594 0.0336294918222022 0.172418198685894 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0489919401046855 0.113180739922203 0.0100069464097707 0.0424440254897365 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0329478784242165 0.0731001556655516 0.00462479670644009 0.0173063623036069 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.80636212059558 3.56864694183198 45.0422086460194 37.3823194629422 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.942848439543502 1.63977691636097 4.52994963814711 8.31631451313986 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.46365434133966 0.973486673207493 0.950615730273391 3.13781643020254 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.284009292904684 0.643649779281294 0.325878145807361 1.42974951496726 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.6200272277642 2.42201228797214 15.0667465894743 17.5624048243586 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.386415168721037 0.831925538616222 0.736763956295623 2.40910783633359 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.177479240888581 0.407138542391919 0.14239097684347 0.617579793346475 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.105910153166043 0.243941925206898 0.050994646894489 0.23313328689883 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.24664091455777 2.0241251320631 8.71714992567949 12.3554156333281 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.280891841924042 0.658289135432171 0.353692431648248 1.44395917864425 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.146838121802043 0.337325769405085 0.0963916180556662 0.368773929281955 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0984469592113327 0.217711380096562 0.0441484690098375 0.150249034241011 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.98986970108028 5.74058255512227 143.957425161508 96.0027893798659 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.74157772482078 2.5649516007012 16.4400618984208 19.5230913601589 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.848365159152323 1.54251651407975 3.53530900380504 7.38937929435611 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.501007265591241 1.04224567474575 1.1095417994527 3.55500975611476 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.9636150452539 3.82523915396661 51.8344827516377 43.2357560389618 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.702799914991566 1.33477066216502 2.72068934250127 5.87132613832755 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.306384110243255 0.671565763680163 0.46589153150572 1.61830101198678 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.179480289550948 0.405271075175973 0.155687624135864 0.625793852013851 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.32801339964557 3.18163595808014 31.650798719068 29.6953554957953 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.504211493720052 1.06379636838379 1.24797650369345 3.54775729303457 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.248022110236688 0.559220675978021 0.292477190402824 0.985408484981071 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.164599243368293 0.362828056854508 0.1307313924641 0.407274280953858 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.587340448362493 1.11140420242725 1.79973140648693 4.1580005662127 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.208719859535114 0.48105007013462 0.185582034018554 0.857913953268377 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.113679279238722 0.268846209286628 0.0522844635494422 0.27316898606323 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.072999827800513 0.173329020992064 0.0210979014238735 0.114239429412045 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.335683886661144 0.749495079975643 0.559090824967988 2.02792990545902 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0963671224069211 0.229217762136471 0.0412323126352228 0.207554259252412 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.046753755703222 0.110720257732003 0.00984622569593881 0.0505757891762686 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0285520588598403 0.0672787486218682 0.00385131742062176 0.0199602160017306 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.252532115373194 0.620374202649634 0.291880557577473 1.38832158303966 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0727448836222291 0.177592648220185 0.0218974465508844 0.112288038532485 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.03934639348722 0.0915240748505073 0.00664767234393783 0.0286340381200771 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0269630503366557 0.0593783666060712 0.00317863427667008 0.0117283262289567 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35685604109698 2.04820727824484 10.6213605604996 13.1242775732372 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.447314876426154 0.929799668520845 0.965994001794035 2.98650099746623 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.231492433044902 0.532655018290417 0.22993896559297 1.03738478627563 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.146727573738171 0.345399771323259 0.0882245152264938 0.44482232246415 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.75732208069032 1.40726068966071 3.24603556512258 6.53801479803157 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.195317709294492 0.453689035543046 0.179453517571318 0.787575946472198 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0935762717249881 0.219396806655862 0.0404448894181754 0.193248501513855 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0567020281931023 0.131531022609011 0.015312638152518 0.0728279229299909 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.571415675092703 1.17236380621076 1.74895668492965 4.53991429351786 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.145947875515977 0.35266586283863 0.0922878786532677 0.437819039415522 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0784294260124455 0.181558740105222 0.0272977335769845 0.112144712593553 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0535812381303978 0.117339338028198 0.0130329508696143 0.0456153022166515 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.06625467463277 3.81816372835267 56.020914655129 44.4224451987252 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.02325786544182 1.72901833578679 5.7397271542427 9.54396554158704 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.499881994629442 1.02617568912436 1.21600535305068 3.58755596920389 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.302987491718632 0.680063510358863 0.406051953844114 1.65223443886439 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.76081463326489 2.58648837821581 18.7797517089445 20.9522656972017 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.415908221282777 0.882606403070684 0.92050712798736 2.80504321900101 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.190453253492356 0.435456092017159 0.178712666127845 0.737390449095278 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.114170061475759 0.261215076503185 0.0646425474260313 0.277896897034809 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36059900140537 2.15067121691952 11.0227928551448 14.1689317785863 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.30205111610154 0.693802210470562 0.431941073693416 1.62351144052855 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.157316032305474 0.361658609802927 0.116125869017895 0.435591661872351 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106681613749135 0.233955501779868 0.054237642698379 0.177918132757564 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.2505068172524 10.9343170775528 629.635684390752 360.295332172771 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.70630378548206 4.57237589247947 79.9808750620003 63.7147381881475 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.85211130196901 2.69655295793986 19.3429299766206 22.2555577999237 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.08837476811453 1.83506289796746 6.35784559626935 10.5635926595379 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.31990537570403 7.15965197771703 257.711609814193 168.67477873893 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.5957480988113 2.40202185136133 17.6204939251229 20.1948412045184 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.677339773384847 1.25120283351814 3.22522285281168 5.73726316608326 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.382542875149647 0.773805259303273 1.04141592584276 2.30389652073559 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.04953419140008 5.92010820824705 159.029035075493 106.794441390368 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.15014286770277 1.90416433493774 7.56019937608469 10.8838695700595 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.528640866088902 1.05965549773661 1.54407840302924 3.48262547295155 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.33440964295875 0.706151565284969 0.623636584366015 1.56611038400606 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.5616462983336 18.1903509117824 1901.87141386245 1027.42140803239 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.4895085229283 7.32601078731183 249.375329466615 172.711913004255 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.33152144389229 4.20382293531761 65.09774900809 55.3879750863766 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.99643138781918 2.82755493485059 23.2874017906117 24.6846518453407 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.4912474596746 12.1577697809961 1152.5314252577 615.382419645272 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.14684636864664 3.95176127573828 101.470825423274 74.7303893152843 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.38723469463344 2.04487584298623 24.1227452247711 18.6419906407256 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.784503849504814 1.2786924168768 9.81309738096804 6.79320305617431 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.26447320570849 10.1158566346843 566.491710185977 346.415682620654 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.21904253681798 3.14787915934041 30.860275072227 33.8103095395063 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.03089067887626 1.78681487148356 6.5776388091987 12.3800619473981 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.630482646615166 1.233072312129 2.42956364016638 6.9988812479776 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0104400785762265 0.00551004869914171 0.000265814124645689 0.000145319149919318 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00330791628031369 0.00206225866982327 2.57554983545035E-05 1.82086386528636E-05 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00182744806813994 0.00143730894126032 8.31530319849024E-06 8.20216064867615E-06 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00135319714914253 0.00128436422456307 5.17208112030837E-06 6.49532029134037E-06 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0117859924812211 0.00541190303419884 0.000392819419024976 0.000137431513854576 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00469405163429493 0.003559823050682 7.14086617929827E-05 5.23459635204177E-05 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00334999406746174 0.00351232475286789 5.02060105446192E-05 5.18407291324351E-05 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0032717488061294 0.00386980812812779 6.18786010299192E-05 6.79815846138692E-05 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0063846328811263 0.00322821880324882 0.000158087358117926 4.16188589439366E-05 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00221601037729461 0.00148605760582639 1.78603818579422E-05 8.39747348706431E-06 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00177648836686088 0.00149344155633277 1.37158771348328E-05 7.6289739833068E-06 NURBSSource NURBSSource 28 283 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00230193226174014 0.002130843783641 2.89482540509964E-05 1.78233122123625E-05 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.215032815206583 0.11269359035371 0.134050021726649 0.0353982014730565 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0904109918115864 0.0429515458513634 0.0222192970438613 0.00550299691817065 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.050300501581384 0.0236605716319239 0.0067586540964106 0.00169597824020888 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0324242335573018 0.0152563520633197 0.00277953925717294 0.000710703852182645 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.138971978233414 0.0680515004562075 0.0545443784379321 0.013798103263254 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0423759810157856 0.0201716305654943 0.00497903848298727 0.001297478375963 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0204776822503736 0.0101556669902953 0.00115492736661825 0.00034732998310504 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0126303858876135 0.00686436463228321 0.000440005170632187 0.000176495374711857 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119602781917145 0.0552572114556597 0.0402861043009004 0.00867769448642296 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0323947626856599 0.0157620215307322 0.00284433037575992 0.000756992320388321 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.015585196327267 0.00831643255661468 0.000662096038824887 0.000221003297345952 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00994349358885088 0.00581133613862624 0.000274185708536619 0.000112316128425315 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.405232795358964 0.248488835631271 0.529925384212003 0.155004589837564 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177892976285256 0.0885031523245247 0.0894011802056141 0.022159951309685 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.100092156880707 0.0476864102573778 0.0273747453009989 0.00666792849748717 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0646867763987995 0.0305330856550665 0.011259642666902 0.00277779027378634 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.267789710106736 0.144480984501013 0.216432873378303 0.0582332828304954 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0838888171950382 0.0401935834256834 0.0200644854795238 0.00500351928058381 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0402576901219422 0.0193919761995682 0.00456822826584887 0.00121720874613029 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0240895233844558 0.0119622335001735 0.00161360475122928 0.000495303693420845 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.232067493890693 0.116553703229405 0.158802667037187 0.0357264444719185 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.064507821730684 0.0315012241375561 0.0113580120038879 0.00295209239996554 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0309224126261918 0.0163965078015919 0.00259832363227142 0.00085017271435282 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0190901912470637 0.0108939598486233 0.000993718468147093 0.000388789324556752 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.751715889546405 0.558435653039497 2.110954937494 0.692944256159113 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.340574442447958 0.191679589054602 0.351627977603433 0.0959408892610419 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196759363082445 0.0986307952407612 0.109492309059342 0.0271384170109833 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.128443861492033 0.0618992248288164 0.0453757182750555 0.0110261726832249 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.501186747640835 0.321841342102479 0.849908442441675 0.261749624391233 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.164997834530609 0.0826955834747518 0.0801823444270932 0.0205143512845237 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0798838925167602 0.0385959564655666 0.018364881169155 0.00469235678536714 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0474602107516649 0.0229718909515992 0.00640361645275725 0.00174494707968697 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.434771285904053 0.261114013248771 0.618414244570997 0.159874343120389 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127805122498347 0.0638988664266101 0.0456633379198502 0.0115933971733964 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0616136462503139 0.0327279195563212 0.0104346613200168 0.00330048215342993 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0377227479631082 0.0213822262180355 0.00390118649888813 0.00146790372829321 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.10180780578027 1.90994353705746 19.6575446290646 6.92328591490801 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.910071889836294 0.687580151560404 3.07258661367759 1.04470229265864 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.540473817167846 0.344550988867016 0.946698171434906 0.288844521335243 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.364787153294442 0.205579915070612 0.398281680374561 0.109616543998411 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.35405342083232 1.13481023070486 7.68844876702659 2.74146235679721 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.458398460152998 0.284460503757226 0.699443757354651 0.220050016367295 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231688030673841 0.12322480371386 0.163280853970355 0.0453973368793155 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.139946108126718 0.0699963362581386 0.0578848050671701 0.0153457136157838 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.16125892396536 0.945372628085236 5.54129032925656 1.72878962633458 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.360159608879245 0.21385508532255 0.407682939999684 0.110270806170786 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.181174490155664 0.100952886958391 0.0965507613260702 0.028006312540767 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.111930755373843 0.0642086130324737 0.036182009865978 0.0121242455331688 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.4736192348449 3.29177040742313 55.7058093633561 19.6696891295315 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.45184291205265 1.22050087657021 8.54807225872588 3.06690510527337 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.851395087443316 0.62295439435714 2.58799941034797 0.874675743854318 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.577003517804644 0.372614854344692 1.07914673815497 0.334932876971995 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.20434850688902 1.9866232185752 21.7409348981806 7.93014971329727 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.7249148139889 0.515464680708001 1.92485216521791 0.673475965949037 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372459574813431 0.219848373587959 0.447450162958953 0.138427032101736 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.228532501244133 0.121707196781151 0.159739261650643 0.0449487570621768 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.88408192867897 1.67182685730347 15.7022522024902 5.05900233773187 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.570350873975815 0.390065059410729 1.13067191519399 0.330331973238073 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.293627007684082 0.176907630065442 0.272280446688343 0.0777065942175595 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.184062418509839 0.109281735075467 0.103459448412975 0.0322543146048449 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.619834173631748 0.437536550006408 1.38961512239935 0.452875666542284 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.278792471725671 0.150743725058207 0.233704674679357 0.0623983030782161 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.159833789868333 0.0784555919680589 0.0727881180430556 0.0177616661338282 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.103978280924817 0.0495326989845463 0.0301797896202531 0.00725131732418018 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.414525244668607 0.252916266631064 0.564573110404953 0.169788389494593 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.134209801447773 0.0662826220933638 0.0529238258918653 0.0135747716057332 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.064918987113927 0.031238204054118 0.0121925748643184 0.00314337789016861 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0386166361815379 0.0187843775425508 0.00428897082273185 0.00119439202053601 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.360402051419646 0.20459942877928 0.416256869260667 0.104319256157057 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.104267902208031 0.0517240975151547 0.0306408945717134 0.00777585206767597 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0501272760880275 0.0266345959705714 0.00700867109964429 0.00217291841648226 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0306696718628076 0.0174952417444615 0.00260337135953186 0.000981625976635383 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16320374533451 0.969125209062696 5.62288506962531 1.98010892006465 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.521836535012437 0.336481275887995 0.911241721528039 0.283781424302075 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.307664723710443 0.168542418967423 0.28532353617168 0.0772618854615111 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.203863517841368 0.1029943284778 0.119771693767156 0.0300065370558209 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.768968128089487 0.566288662930608 2.2357899046188 0.762626803864642 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25987843900506 0.140696670285202 0.208550632319128 0.0589376822537361 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128291322234654 0.0634643863847748 0.0487485452410642 0.0126672223126969 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0765321200077547 0.0371829912773936 0.0171993964555462 0.00452810829804365 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.664802704858482 0.465991698438392 1.6326492266983 0.479731810338813 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203792773227517 0.107774352764048 0.1223113749323 0.0314182618920749 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0995456920692609 0.0537053706084587 0.0283154811904983 0.00844492987894911 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0609401712850483 0.0348643091574677 0.0104611396637114 0.00377048825611742 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.2575165259251 2.07701645848752 23.1100704842463 8.34453726574755 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.968916742144773 0.750155924497649 3.60008590294675 1.26866257838449 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.574876698237714 0.376544694065389 1.10776084002512 0.352782372535863 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.388309381308047 0.224754149190706 0.465820823587476 0.133630858522879 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45308531385658 1.2407245882337 9.06177396460339 3.30465362123798 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.489516966305142 0.311480080394368 0.816849920553537 0.269007429466127 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.249155249732814 0.134330730246434 0.192484016984438 0.0550361730074986 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.150842062669338 0.0762057191920861 0.0686967815528384 0.0185411153128391 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.24612329365327 1.03812623991493 6.59135267436 2.12629555519216 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.386633918479299 0.236449482676423 0.483857069450333 0.135481980453156 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.19492361560965 0.111177591020892 0.114826627553429 0.0332013636350475 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.120706961118098 0.0704709462229481 0.0428609458732425 0.0143686252960855 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.72424313517111 6.58446765715167 216.232595356152 78.142941157562 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.71323922145125 2.50123516201531 32.7348198015483 12.4066370710515 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.54583674714087 1.30984623686322 9.73610735117716 3.65710800686882 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.03423216540482 0.798617921473097 3.99585684410156 1.44490427241308 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.26044316946653 4.06518752112682 86.6353309976427 32.7743883188769 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.33620355708902 1.10585489507304 7.57239518934809 3.00008979242494 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.684937537897172 0.480741646827843 1.74803067648666 0.646469418586867 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.426026310485943 0.263750317787131 0.624244874627744 0.2119337288563 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.64504890419226 3.45865654961303 63.1653003310696 21.1261009055735 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.05303017035658 0.856340419408413 4.47760441330807 1.44275256549712 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.544335185069249 0.391593947684714 1.08722697875513 0.328278641469497 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.348091731305283 0.233737176043325 0.422190615083122 0.126857571232708 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.2292217253717 11.1220515960467 611.869647777036 223.675057613999 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.45923334597937 4.26506899256566 91.4511690851476 35.4432521009606 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.4926748499208 2.26507751224015 26.9400263731286 10.5011291658315 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.64115404944814 1.400901114484 10.9334354801122 4.19646628411933 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.21792183011725 7.03823538001532 260.208433512681 106.244363581717 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.2182059256146 1.99171171719611 23.3516811516196 10.7009387137333 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.11595367852276 0.891382393291869 5.41745603165218 2.42474959413244 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.692532614986804 0.494800279570913 1.92460526540914 0.809175379551524 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.18877778827882 6.00205384108904 187.239751478227 62.5011910106859 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.73931307448979 1.53955042007984 13.2844011155412 4.33848281430489 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.892698444327808 0.723198914319761 3.28896711570864 1.0078640710202 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.589686634448341 0.45943261908517 7.87934599829047 25.0335230259576 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0138322364753185 0.00877850761588425 0.000511320683828122 0.000447010923907896 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00448145943576232 0.00321366614767007 4.96062654172179E-05 5.3250822687537E-05 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00260450558209961 0.00224412271289601 1.60595857903749E-05 2.34666639723499E-05 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00206486400027446 0.00208639475118138 1.01942861775436E-05 1.98510617266741E-05 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0152391382625444 0.00951158382405789 0.000719301634290802 0.000589206557808632 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00647104914255103 0.00606175682592553 0.000122847396195488 0.000211886380830305 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00501042243507089 0.00596304583257113 7.27397919334164E-05 0.000197969117029184 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00499144879088334 0.00633526443536905 7.11756281659886E-05 0.000239459011914563 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0084824913972792 0.00533093388999876 0.000290235119281893 0.000127755877002576 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00303044110575864 0.00224866889883483 3.59673001195859E-05 1.62397543193798E-05 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00204266519894749 0.00240580041691726 1.52572391163207E-05 1.66129333797494E-05 NURBSSource NURBSSource 28 284 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00208924313003114 0.00358805754129403 1.94842933393111E-05 4.51047972946135E-05 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.231587884798008 0.136424199313974 0.158599754628751 0.0541667774456605 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0976175154816198 0.0521877973613679 0.0264308438073107 0.00829076812723866 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0544578324578529 0.0287042678532482 0.00806159382536042 0.00252438131717344 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.035117810443524 0.0185651692538767 0.00331064600837623 0.00105011676307071 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.15153865410906 0.0837507333194428 0.0656341613586903 0.0217341908755277 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0462955659811643 0.0251413261163297 0.00598773629378222 0.0021545717417813 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0225517015447792 0.0131940023563234 0.00140805369248371 0.000660570640913606 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0140473014747209 0.00956274835797101 0.000533243015490259 0.000415187752384816 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.128878908401338 0.0681377477611255 0.0478929841725877 0.0138490412172407 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0354410055367776 0.0190178725377641 0.00347825743360728 0.00107782763370357 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0173024389652255 0.00991515518844566 0.000825197086837862 0.000276618733566343 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0109479433042328 0.0073710040765943 0.000325607308802577 0.000150791512005201 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.438673761033922 0.294738871831465 0.634009914373951 0.230755796806178 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.191347992248847 0.107698664415483 0.105868477485544 0.0335817489383638 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.108078668734908 0.0579308251711016 0.0325593906484772 0.00997303089825799 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0699398207953547 0.0370724885607124 0.0133966014921726 0.00411272203529286 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.290602954934094 0.176220317778565 0.25913174510508 0.0895019152994151 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0911815246854992 0.0493180837467096 0.0239164719735631 0.00786468495681657 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0440461955042711 0.0239922356709237 0.00551964063034747 0.00198973548724167 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.026423713782078 0.0152752294802189 0.00195806664044792 0.000906054162109087 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.249636280768747 0.143000500702585 0.187711452906455 0.0570537838981535 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0703992052718866 0.037888163424979 0.0138253431620427 0.00423916093789965 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0343351040918071 0.0192729375329993 0.00325666828265828 0.00107489649714041 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0213465094099448 0.0129246248476598 0.00124417820057385 0.000475012612740927 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.825244277994775 0.643466242318885 2.5647148931257 0.992190444976187 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.366560211695102 0.230973775377782 0.417866186526916 0.144583986662048 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.211693131668843 0.120097749436419 0.129586735056584 0.0410476844151906 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.138498367585607 0.0753303736049531 0.0538147132014215 0.0165124870387089 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.547435515804351 0.383972306137561 1.02924471479511 0.388327847010111 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.178656918014979 0.101076625961758 0.094974558313096 0.0317176353275865 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.087125612053302 0.0471030679582498 0.0220776781556457 0.00727173250248451 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.051852877296353 0.0282479445951215 0.00775653693486068 0.00280531543270525 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.469969535351319 0.314389390647787 0.735283198668183 0.249085976913815 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.139373205831537 0.0767103822431048 0.0554469476333047 0.0167833756779282 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0683993809589576 0.0383251137836633 0.0130896322919491 0.00423133749244915 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0423346806982084 0.0248312297761445 0.00495943254066707 0.0017810362002674 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.33531196070452 2.14300814108584 24.2379077430035 9.55628496006804 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.00116029836504 0.792676445349663 3.74478662779999 1.49039786505622 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.58633704288265 0.408153190656723 1.13598779977289 0.425370814778269 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.392671453588238 0.248156759943503 0.472220617280006 0.164713766357698 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.50653779207482 1.30152685459676 9.52573487131973 3.85955137604088 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.498542336688418 0.340017000010438 0.840498976356776 0.32725680402566 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.251745763119991 0.149796230266895 0.195808078568188 0.0691843294394101 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.152165448415033 0.0852343125225896 0.0696361010251837 0.0235928392545168 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.28126559703516 1.08735583563791 6.75633975713898 2.51491623949041 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.392601068697294 0.254050508943069 0.490680702462146 0.160050149536203 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.200625924239513 0.118216380511204 0.119402775778952 0.0369411657814699 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.125583105182433 0.0741257571920401 0.0457034526492128 0.0151246601646271 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.86612012205618 3.68250662647681 69.1909759616291 27.0097596407653 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.61092816495413 1.38740341837933 10.5077194224142 4.30200065754956 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.934287753548716 0.722669674663111 3.14478594646784 1.25546071986504 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.626406629445171 0.440868013350233 1.29503087659747 0.491748793948235 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.46224639781307 2.25784421011615 27.2387677013558 11.0377745096901 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.796646092138358 0.604567516411232 2.35595568625333 0.977133648689563 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405735577319709 0.264976756814462 0.543080600233327 0.208208074714029 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.248193673071268 0.148044221806966 0.193061452805633 0.0693798643166286 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.08995685734751 1.89905043983945 19.3558757136325 7.21157670688116 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.625714565317674 0.454600141788708 1.36848303828434 0.470135378672634 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.32416528694414 0.206745792257589 0.332281289532034 0.103826315709611 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.206092527308289 0.125782659368957 0.128770262948034 0.0407111898095824 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.665971547254341 0.499030645701418 1.64679094931264 0.644466443881874 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294285408846668 0.178159331154624 0.270755004523084 0.0925525027685463 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.168469252330915 0.0933752338117405 0.0838820456950393 0.0265566578448243 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.109644984625257 0.0589608174719649 0.0346941981134423 0.0107524073232288 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.443082116939516 0.298490307408377 0.670024480169594 0.25617956791986 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.142016489779639 0.079423820281866 0.0614118317872542 0.020971928937598 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0689106885696425 0.0375791458040637 0.0142131248909863 0.00496837110602937 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0410963675569254 0.0229091615340464 0.00499005511029296 0.00197464476538638 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.381561068152754 0.243179413653715 0.482159523640238 0.159310155501077 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.111034157660243 0.0601948143219942 0.0358075633062917 0.010807620365422 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0542337886826917 0.0305179064960674 0.0084175856750142 0.00277265146862714 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0337468340548104 0.0199832401226699 0.00321269863319567 0.00117090461438216 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.26650098404192 1.07808331464461 6.74457769720006 2.72089954461504 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.55576040959607 0.38881163614523 1.0693435128903 0.406471795433515 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.324530690968767 0.198866665689669 0.330015545502241 0.113897832373233 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.214771014429516 0.12224726310859 0.137857336455384 0.0445721665231652 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.832774037696018 0.650862255440931 2.69627404130908 1.10509231597914 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.274854336694723 0.167254970946216 0.243090329401466 0.0887670440941893 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.135960233178023 0.0758451402636554 0.0568519428130626 0.0195832002228124 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0813064634541529 0.0444714729659701 0.020063528344164 0.00706654201673877 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.713319680220329 0.537299697327063 1.91973461408612 0.700190404805701 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.216861378238942 0.124907738417199 0.142136669374806 0.0438206461881171 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.107577347339762 0.0613061911255201 0.0338792924682702 0.0109203840509862 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0670582668861744 0.0392830931495495 0.0129496635652566 0.00451874703432828 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.47137289015614 2.28223890059666 27.9776311940248 11.2408411979939 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.04777584048027 0.84377086578552 4.28875921399062 1.75523017851766 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.612284644780879 0.433933860110438 1.29933697332312 0.502169681695972 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.410175106340263 0.263346385501367 0.539649979400647 0.194483380349899 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.59276074121937 1.39370551627567 11.0847681784375 4.64890797126718 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.521263320589016 0.363636086641077 0.966633866672236 0.390330255457802 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.263857926140683 0.159625252587109 0.225627216679773 0.0832757863704605 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.160073364573969 0.0906780119560047 0.0803570235691083 0.0283539140116686 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.35350557191356 1.16456184182675 7.85609411827197 2.98307744276624 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.411619723613906 0.271157707524104 0.560434998096394 0.187078204671582 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.210409867961559 0.126402741629857 0.135832445941106 0.0434281223467683 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.132708743765224 0.0788710586624287 0.0526209967138283 0.0174638253213148 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.39505711866901 7.21289439112058 265.984930569757 104.411826356373 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.97109481805497 2.74937708438884 39.6096462103474 16.6452000416421 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.68329891846779 1.45380820336246 11.6734206982505 4.96442889416277 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.11659976677728 0.896719014233009 4.74648841806278 1.98630377274329 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.70289189616709 4.51314075474554 108.468931655315 45.2492709688121 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.45408781558945 1.24476314366146 9.32096517926293 4.11408291834819 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.73578040939567 0.554424460777071 2.13108155699491 0.912068185785143 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.455098439734069 0.308107250441219 0.754922078529814 0.30517471541535 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.99431651368278 3.81043881235123 76.8487288085286 28.7445843446843 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.13640646093695 0.947235953991497 5.2530904321832 1.92217156682328 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.585592809665072 0.436948354876239 1.26148482710341 0.429194039294045 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.37782988274085 0.261374468950714 0.493897307034673 0.160156613286122 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.3902682617882 12.2003433984828 761.021593445651 298.150502430934 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.89665915054824 4.67352853729049 111.875904791117 46.5703637359473 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.72946817802427 2.49204790094454 32.7061164279235 13.8929094885933 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.78861447057295 1.55110461291647 13.2097466487922 5.60267108936233 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.01174007678643 7.83659665978265 341.954533682232 151.345121593975 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.44110988643249 2.22821424405499 31.2553423994677 14.6088908365395 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.2199927032623 1.01126198150517 7.39357090870937 3.20399268656077 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.752291933901242 0.566700251743449 2.67400752819764 1.05622449997859 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.81618543580568 6.6350779442742 231.245559580203 87.6606268977992 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.88400593491316 1.69681175736118 15.6996881888464 6.69583868263261 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.963270873831357 0.804149091041692 3.81398229041889 1.86619088135007 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.62022119045742 0.486116931947371 1.49561727456512 0.851582666676481 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.024986891618094 0.00825614638337319 0.00143945873156549 0.000384300590978101 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00769028115430303 0.00283255356593782 0.000133134231037438 4.1904770511968E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00400376287521282 0.00171219311301689 3.3461230966545E-05 1.31318650161545E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00276098416988668 0.00141876737111977 1.4559682759597E-05 7.87873081663979E-06 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0270032995052942 0.00617876199251628 0.00196985234373167 0.00022002585369589 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.009705468690009 0.00345538133797552 0.00023958916296942 4.91309829365962E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00614361592686801 0.00322007264531309 8.36851640131354E-05 3.54729233063168E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00529446992510455 0.00345833816720874 5.63596347669299E-05 4.14017940356785E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0172950100901285 0.00458938661469059 0.00114984532594122 8.83696285598059E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0071417966389828 0.00221672723233309 0.000177428818796327 2.04714128814049E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0048053569118373 0.00173816549782497 7.65492983010229E-05 1.19251742528955E-05 NURBSSource NURBSSource 28 285 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00421519327040799 0.00182219896710948 5.94670763507601E-05 1.26017111364579E-05 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.27685630609463 0.118660804398973 0.21366862927537 0.0407099580589599 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.117129708394669 0.0445296894824515 0.0373051322408969 0.00616904045961513 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0658482321857201 0.0243333793955494 0.0116958495326944 0.00189032228083734 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0427358383656712 0.0156462559643509 0.00489625668143836 0.000788938213253675 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.186649900674536 0.069238403408061 0.0941979961574675 0.0149354870826155 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0565886373049415 0.0203077321012251 0.00858404162567415 0.00140263133108912 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0273127528149738 0.0101028187451963 0.00195729862953081 0.000350106937380215 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0165051554057358 0.00663532794496751 0.000685936892723331 0.000153438192534501 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.153174513915023 0.0523712787330524 0.0676176705702374 0.00871319893941153 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0449104303644221 0.0158212441120232 0.00578001893617104 0.000856095413976705 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0236508046266155 0.00887614066562741 0.00165165156210756 0.000280268813488374 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0159357751668649 0.00629408467613279 0.000751585466154003 0.000142976340330674 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.522946996245041 0.264138875460045 0.833660215800662 0.186462234787909 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.230531172225239 0.0918143971220613 0.149439801064958 0.0249280782918298 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.130839622947336 0.0490709425488492 0.0473377242561889 0.00741040722627565 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0851321903467737 0.0313130397409043 0.019859314088155 0.00308097702646988 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.357368036841832 0.148639998113512 0.366342004205443 0.0644588610657989 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.111010462408033 0.0403914248721629 0.0344408265733378 0.0053652005742823 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0532579568143254 0.0194255058458401 0.00781843383164228 0.00128144796937638 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.031486894124044 0.0119012662387525 0.00267622346963687 0.000491424872302036 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.29893134266114 0.109806847137793 0.260187911905561 0.0360170364560193 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0886544196823756 0.0315503872263321 0.0224835998410987 0.00331908603619081 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0464031194004474 0.0175015797322677 0.0063596787026744 0.00107024577035955 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0308052284518149 0.0120849134186134 0.00283565315648425 0.000522316165539295 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.96303294459413 0.610684842998697 3.22842032698595 0.897141395030052 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.443903411473297 0.200301705777414 0.580763154305425 0.111941379270759 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.257720875985259 0.101808453266435 0.18787068961071 0.030477137618106 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.16904638103038 0.0636383043537463 0.0796281242256211 0.0122852382764227 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.665669392907561 0.342888322964118 1.39703748014943 0.315724108530862 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.218504243255678 0.0830038554348702 0.137314109231203 0.0217353703400884 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.105536424561154 0.0387016257849946 0.0315795923813152 0.00495283231302234 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0621194362793723 0.0230958706404498 0.0108294791254661 0.00182806832955211 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.565254271940649 0.250657157008252 0.98208197088126 0.170199468178101 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.175355455352592 0.0644406549439177 0.0888116966877764 0.0131392553545647 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0920697299281601 0.0351718226587404 0.0252020150625617 0.00417480439040504 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0609428597922901 0.0240093065364999 0.0112231139800555 0.00200737408807648 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.59112111015948 2.19881283202105 28.7804594473423 9.7448042347301 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.17748900509131 0.755991960725166 4.84421535529785 1.38337280136461 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.711951608788212 0.366304597916141 1.57501255348791 0.356467597465635 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.482894466350342 0.214692503835079 0.683686932369284 0.128696993603353 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.73163652111545 1.30081987754142 11.9038026076661 3.77236029941564 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.608703776477746 0.295204737782675 1.16292100867228 0.253084525484144 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.308057946029722 0.124041712701145 0.279134671077616 0.0481500326255341 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.184013579371107 0.0704610987623342 0.0983212341134646 0.0161981311775257 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.45478053009821 1.00084231207228 8.06700386366823 2.16896586703135 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.496064281504007 0.224147076511149 0.76275812073393 0.139346382290058 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.268163818223641 0.113850845867165 0.222455547282433 0.0396129022713359 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.179156054741654 0.0754155662644607 0.100304366943558 0.0180149046466325 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.23162563137026 3.85085271308292 80.9713607541012 28.2581792625907 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.84631622711913 1.38184615718268 13.1401609147965 4.267271177026 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.1135688535616 0.683046611360643 4.19935437188885 1.15294117295246 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.763718980310394 0.398278178207932 1.816537920393 0.418517680006288 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.75998437077998 2.33276849371485 33.0587905645738 11.2823983063793 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.954605504469604 0.554603926974646 3.12083545485483 0.83107448397364 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.496384986661706 0.225314079292499 0.75398044964228 0.153787695127349 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.301866986267759 0.122995154245494 0.26979650734677 0.0480732845194769 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.29419925995602 1.83759493479923 22.172989447399 6.68440465847865 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.780548878169148 0.422863984390541 2.05058413506144 0.452650687209097 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.431915921462485 0.206867824755829 0.607736708741901 0.122872883853005 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.291612891209934 0.133777816652199 0.276590075266247 0.0536482342997348 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.794621603170779 0.474425033620506 2.14403512945205 0.572678519990518 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.362308210428736 0.156826822536466 0.387650973484298 0.0718492868580806 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.208602816753727 0.0809646713673177 0.124769665183991 0.0201578342942759 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.136402246866428 0.0509989742214938 0.0527217555332493 0.00825376218840889 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.552606277834459 0.265434753681732 0.955083103462074 0.203996441269277 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.177524973943765 0.0667849121678336 0.0921699311004591 0.0148556737005424 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0853397603577316 0.0313906666378045 0.0210822900630583 0.0034022577369396 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0503203162129121 0.0188125496619549 0.00722797624766675 0.00126238206702588 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.468033976251332 0.19630279896415 0.666536399134447 0.110897173023321 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.142992049832186 0.052506024228593 0.0597465743175163 0.00908239799335668 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0752946217540268 0.0289333268190959 0.0169233286422307 0.00291868454121637 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0499252144916342 0.0198960915305719 0.00756639139679574 0.00143547647341239 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.46153167374953 1.08866145182487 8.407352957587 2.67269967383642 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.679700053630067 0.358075637640114 1.47716406840047 0.347807777773736 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.403832172007301 0.175001413007138 0.483974989065573 0.0892064641722569 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.26844577213566 0.106137702359626 0.208114152009547 0.0341481875566865 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01260848709169 0.621515693380155 3.65687034807188 1.00010322812981 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.34503031255022 0.142956162333186 0.360050919362805 0.0662227364982739 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.168967308976938 0.0638860883748537 0.0844127086851646 0.0138270700680346 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0998544412428934 0.0373946046989085 0.0292131066091508 0.0048922717762888 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.859497922266117 0.4679188025458 2.49347332166396 0.557432606240868 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.280047461283809 0.110685548570573 0.234137990350554 0.0379434615719683 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.148937659353147 0.0591488728655854 0.0671344224561348 0.0116322935764104 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0989928037351754 0.0401758428123811 0.0301193901463664 0.00563075665674077 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.76944976026393 2.4022362367925 33.8430940967997 11.7225266513372 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.24751338375014 0.829912865160759 5.64772022709542 1.68655214687068 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.754674754251439 0.402623903566308 1.83120478371065 0.438001393561881 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.513505256185581 0.2352653795488 0.795820148474168 0.158277196368461 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.86244048024879 1.41942033346999 14.3306038044272 4.62982610643469 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.649602145768556 0.327077139714116 1.37499435278957 0.326066051379568 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.329886153168134 0.136192180980047 0.330906580035525 0.0616558858351218 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.197663860842975 0.0767376724291647 0.116763615271517 0.0202597965912244 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55986471525293 1.10704997081312 9.54364120108628 2.69607209659618 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.531098647979649 0.251179479782952 0.89724619236661 0.178686359614043 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.289830334545935 0.126785308401651 0.263546416988911 0.0501703104310568 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.19446324738881 0.084025304892529 0.119471081204849 0.0233838530938069 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.12867676421707 7.81313508562793 315.121278747486 113.211697674903 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.36426478397486 2.91766429850553 49.2166170524695 17.8490884302991 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.97514754790427 1.49377190733001 15.2673994724921 5.12028149101414 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.34888369063567 0.889857828871511 6.49019602716451 1.95460173005005 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.28194599268181 4.83891793137351 133.454613299845 48.2840921780575 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.72082168767572 1.25262048774448 12.0487438147363 4.15461929902028 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.900795881452748 0.518952959861388 2.8608819805303 0.83167445863019 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.562276054596559 0.273720517273495 1.02983139092344 0.253306496483495 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.34987520319012 3.92582676781061 87.5711617248498 28.9654746581183 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.394702995241 0.982278465516041 7.70037365883196 2.21609141565082 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.787027980649073 0.478507825830987 2.30893962991195 0.610603344730898 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.540864759758826 0.305020435247827 1.06664616878171 0.273117264249477 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.5669957181403 13.2779490332865 892.681096856633 322.99386528571 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.46658244367189 5.04461496160257 135.597160193666 50.8058042194812 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.12739925330494 2.64170808897819 41.1393365270204 14.9199609051997 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.10311378576899 1.60670271772119 17.1852815279746 5.87284368576195 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.88602406986687 8.44510665099994 397.038359528958 151.567314736523 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.80073971995145 2.3154516268981 36.2471388876935 14.3616269475232 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.44377258416709 1.00006187806926 8.46315318268482 3.15648825627875 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.905335988144921 0.534133449694969 3.00350459438447 1.02251023476101 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.32934079115197 6.93126970852033 258.760754306847 88.7395579993569 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.2440075970116 1.82168464787451 22.2115998640881 7.13660296561595 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25871225511318 0.906427787873797 6.72624908652754 2.05693706898863 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.869957152504962 0.580464128799181 3.15759626323132 0.958168196624069 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0212491237311107 0.0149614721305983 0.00112184005337937 0.00132805287709391 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00653526909263316 0.00470283171006306 9.96907072155791E-05 0.000121081648088273 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00362989780472542 0.00265858439525619 2.63576139183754E-05 3.45265736601065E-05 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00277194971609931 0.00204475198884666 1.27844062958814E-05 1.8285822396585E-05 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0230352842008123 0.0147109589469559 0.00172501989784759 0.00120830724339195 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00848843877188099 0.00585267103047026 0.000214544502584099 0.000175136764919497 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0057194075908436 0.00439603629584645 8.18030074877864E-05 8.86275796378146E-05 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00521009260915546 0.00426968635386869 5.99683938170174E-05 8.09745842241644E-05 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0157857170200506 0.00960417653293451 0.000896286738548743 0.000341564087231347 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0079583131728172 0.00370925325795263 0.000221196588381947 4.84797237220321E-05 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00572185068007606 0.00254730274986857 0.00010604219231955 2.21458982977089E-05 NURBSSource NURBSSource 28 286 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00488340224393779 0.00237797835946342 6.89836295938137E-05 2.0084674388858E-05 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.263735877446662 0.211570249203694 0.192814571457751 0.126741353105948 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.107560985579113 0.0851336908611723 0.0306001489871477 0.0208649388511056 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0598513728967673 0.0471002804630454 0.00932083496879541 0.00639475010982693 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0386869277034224 0.0303338632921673 0.00383948200367488 0.00265462435504133 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.170595224578673 0.132423658971385 0.0792256863955826 0.0516762199352304 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513598907925037 0.0400926459661534 0.00704104882514867 0.00500571573532535 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0248353334835124 0.0194651989374191 0.00162324715171924 0.00122065805514141 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0151116688290257 0.0119605610805031 0.000584982650658271 0.000488069254396148 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.131658823298 0.1144473488211 0.0489670105997843 0.0356640495282499 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0397524140041476 0.0309304399506802 0.00438972312609346 0.00263762019273883 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218284375880117 0.0151615385599831 0.00133739658829174 0.000638896958547032 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0151745046778517 0.00948932221344081 0.000631394155592098 0.000256514839178666 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.520808450035885 0.42538368147019 0.818605835564276 0.476162373499198 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.214479051912326 0.170162818349937 0.126664272252639 0.0803312801195214 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119458297808322 0.0940952306473185 0.0382144858938707 0.024881971043181 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0771988947355839 0.0605673265256258 0.0157061998425571 0.0103584725516528 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.336344790723223 0.263923591519192 0.328134726311048 0.194385074094165 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101249951079959 0.0793650753771131 0.0284104945263238 0.0189467577867935 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0485408039406699 0.0380443352005269 0.00644439847918261 0.00447884276332586 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0287857917427471 0.0226735502369487 0.00223453233217078 0.00165035800797458 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.261233560049918 0.22815270580055 0.199151868003026 0.137307239880795 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0781023045131231 0.0614721989991009 0.0169795699579644 0.0103454925935261 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0422652810997081 0.0299061802218397 0.00505298010379995 0.00247380421775778 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0289037209815472 0.0184460321093564 0.00235359748950899 0.000957413302896966 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.01758854911648 0.869474173380126 3.5032644060832 1.82191115835924 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.426905591459564 0.341768178358384 0.528026088411187 0.309421837915328 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.238559479736084 0.188351387496344 0.157150364823951 0.0967972261520008 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.154253029420139 0.12113942072249 0.0641949632983233 0.0405507737170433 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.662675303759346 0.533860315572729 1.38400640778921 0.745805036776285 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.201501277482994 0.158466503373226 0.116602064567205 0.0731113973060937 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0964901292409171 0.0756307846926752 0.0261881600467348 0.0172194457252689 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.056834781759252 0.0446902261948631 0.00900044703326191 0.00617963937032147 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.519501802892781 0.457150852976408 0.842607351022764 0.518715822666309 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.155402886709614 0.122801672764454 0.068249835392454 0.0404856128101806 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0837671643022616 0.0596018449107013 0.0200879648402977 0.00971158762069748 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0570106745105349 0.0366045703042697 0.00935435515298948 0.00372422551686036 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.94913815945524 2.76710926993864 35.583497793417 15.9433462382386 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.2439784178034 1.05869530229211 5.16192686535056 2.67711502945993 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.707381853634569 0.572254366919376 1.50598792849956 0.829825796565525 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.460419679968138 0.365182709423381 0.606089811438718 0.348874983906029 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.90165275250521 1.68679775914414 13.7854726815312 6.52094670251387 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.597563455670682 0.481214416605425 1.12019382812972 0.628132393531316 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.288518277241331 0.227214169912095 0.246492422901402 0.147887236404944 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.169782834339922 0.133722077882302 0.0837858627010473 0.0528622362365285 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.51939124737524 1.40684129371327 8.72195207170619 4.22833880358126 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.462206744890572 0.369796949292907 0.644228172991931 0.337995678883374 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.249530238558406 0.178970741243826 0.185052155961124 0.0829888989488442 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.16990309026253 0.109716944122915 0.0861587906232319 0.032025333015703 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.91281563638576 4.73645965542579 103.978174153532 44.3239072053279 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.02757178040103 1.80917247907245 14.9347358198075 7.38800377016931 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.16024286230935 0.97042170708105 4.33138019011097 2.27750391650817 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.760558310641469 0.614307265267852 1.73446833009731 0.949924280443799 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.12882071219157 2.90089721955576 40.3737263879065 18.1718758536003 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.983320405079829 0.816590417354221 3.25182739614007 1.73681833570059 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.479181432632524 0.381663725231337 0.70816427784987 0.404729277755664 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.282846650305299 0.223723023558852 0.239454965438096 0.144342391454429 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.52173697166415 2.40426606037239 26.1354125062571 11.4992191292164 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.760795447822366 0.62286795375698 1.85755304308908 0.893033938205877 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.412539495448497 0.299801912311087 0.523353345638195 0.220523647459374 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.28190547278991 0.183589185349241 0.24351748673773 0.0857556251928257 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.817208189998029 0.683006379849271 2.23973573553278 1.19307932062756 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.338869361546102 0.268932271578356 0.338955631250471 0.201993718003867 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188671713508701 0.148214424310565 0.101053833061245 0.0630360076935759 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.121782280846226 0.0952812172550143 0.0413155146712373 0.0263589640282597 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.530934901015557 0.425987065649131 0.887013282786627 0.498066131724223 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.160387649737865 0.126055062841381 0.0751627002260174 0.048455790379966 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0767163316617657 0.0602267197369818 0.0169565623020647 0.0114244495280354 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0452585914777452 0.0355960879814028 0.00585104513056248 0.0041001711422217 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.414399813363915 0.364938631279741 0.535125480396785 0.350116352119846 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.123812561900017 0.0977403559001233 0.0441993467341028 0.0267448666990348 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0675299808750304 0.0474210336282506 0.0132603455130312 0.00639867998233936 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0460298967578672 0.0294063923408358 0.00622344173836919 0.00249443792826507 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.58873010006145 1.41167490884936 9.62390944647593 4.6287805962109 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.670364178852163 0.543698060917849 1.42201020443303 0.78265593560387 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.376179831041771 0.297274214847274 0.418507916204543 0.244434618915201 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.243238035663904 0.190704420878382 0.169560840064301 0.102798108853687 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.03704292195326 0.872197292597507 3.76932081084502 1.93527306125809 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.319084060850747 0.25292423170177 0.310757412021294 0.187955908903281 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.152904960445297 0.120341812097691 0.0693063705430799 0.0444111149497019 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0899760930723957 0.0708299660822168 0.0237781491831628 0.0157856176818665 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.819463259030103 0.73567250678373 2.31058279122822 1.31291966546443 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.246720303062129 0.19546312856878 0.180383977875553 0.103431578939436 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.134462407513412 0.0947426015953509 0.0535364965692069 0.0250078492546932 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.09149264447761 0.0586033125698966 0.0251100198906616 0.0097076970813547 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.13868884942824 2.94463570280564 41.6238112859849 18.3730722305697 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.3080095762206 1.11622364779777 5.99303524950387 3.08239799831088 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.743732913423189 0.601711002095452 1.74754499152774 0.953881624331887 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.484137132694993 0.383235182635178 0.702565043895878 0.399673057104853 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.01553809092282 1.81358865305842 16.1410936470763 7.66210077900672 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.631731332671346 0.51268849192539 1.3037381327341 0.737019116880178 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.30499323501043 0.24173497002848 0.286520243842784 0.173426901093978 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.179650506994618 0.141846195262946 0.0975864767133662 0.0615889991445005 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.61277086781898 1.50317506658091 10.181424766857 4.97272305713164 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.490088407721569 0.39209885630863 0.751102926966134 0.390876614168885 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.267532046164689 0.189780793483191 0.218329273904856 0.0958974844671568 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.182167753718255 0.117107915497349 0.102150687644911 0.0373265043025724 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.5075203873031 9.30555834695178 410.845653182023 167.15819629823 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.77894504399544 3.53886337871653 58.5630249822256 27.5084660983515 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.13224527688999 1.88933097539585 16.8045747868262 8.46622514474731 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.40392040583221 1.18653017241576 6.70091598522855 3.50878895584964 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.01824377829051 5.83319599855522 164.205248182153 71.7495136359116 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.84087134230767 1.63113127550162 13.2622142545567 6.86975144907405 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.906490762456687 0.753304128664138 2.87512815583254 1.5939615160515 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.539885706780264 0.437051226695055 0.964518052351432 0.56043922293024 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.91864455586354 4.79718857130279 108.315886843879 44.2992085082337 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.42382634599496 1.2297277229806 7.55781839305387 3.26368188444901 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.777484574493944 0.587774907891741 2.0767547144095 0.792285883506114 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.532988133489681 0.358932478248637 0.954068288821502 0.305519612385978 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.9475047054258 15.7396088045443 1172.09103637268 470.005177503458 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.2497863917309 6.01042504019915 166.305088531913 75.7222828762571 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.47441217925342 3.21444355732768 47.46408398237 23.1565369833732 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.2739879949684 2.01619873714587 18.8188290260844 9.58087165345995 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.2281814531446 10.0802012896651 496.671703421895 218.177232525681 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.08263738742226 2.86429265579412 41.6708609976044 21.475081324249 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.51847824040259 1.31954460739126 9.11569854022391 5.01889250581091 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.910702489139093 0.761751329076741 3.04981479248026 1.75386944675215 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.43979457769064 8.29905836139159 330.155172057772 129.141627496903 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.37356551491462 2.1594213135956 23.0782121518011 9.33729545234628 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.2764021071717 1.03538633074597 6.25399607310003 2.25561570060838 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.871384511594001 0.62959943762304 2.8212794659107 0.860176502412771 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0120200469075318 0.0474175155337137 0.00038516415776776 0.0135560689074159 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0037184569726622 0.0144068393540777 3.52879236634893E-05 0.00120043526801941 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00195116202335882 0.00748638656027381 8.60497975504251E-06 0.000307883487999713 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00134748669030175 0.00512147787383598 3.34817120033831E-06 0.000136974672409111 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00466339343477837 0.044179769930366 8.60445588494865E-05 0.00999460200018021 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00206764017486848 0.016072733528655 1.42647595795383E-05 0.00130993738426746 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00173768104740968 0.0109827886913267 9.14442025027889E-06 0.000627001263879366 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00176425186906692 0.0106180786110692 9.27532142043817E-06 0.000629309199567996 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00342995360984401 0.0224127667158057 4.07485472734276E-05 0.0014972312391189 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00134572965305919 0.00728617066007807 4.93681181928245E-06 0.000160399688612394 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00103877250473137 0.00466957070101222 2.35698302747176E-06 6.6444812027721E-05 NURBSSource NURBSSource 28 287 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0012823642107894 0.00434241149917134 4.70518749101973E-06 5.84346155034678E-05 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.119939231201864 0.433184933381727 0.0627733023980597 0.567314086389434 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0410985553400481 0.185053078761469 0.00536480423625188 0.105060552627785 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0219609122305728 0.103884122763791 0.00141534410571489 0.0329963992672954 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0139819720070169 0.0672382541907445 0.000558263478799923 0.0137697159846185 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0636042357040341 0.291435884905129 0.0167577568152949 0.262220966097204 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0177136108321303 0.0890973882961365 0.00101033208292632 0.0261492201759908 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00856597956895468 0.0435032312241102 0.000229786837976097 0.00656719029194824 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00525053174218916 0.0275517930049207 8.62668966586463E-05 0.00288412395414705 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0486001026089023 0.257496410387364 0.0086415352816303 0.181426815712294 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0135686524618363 0.0698274708514053 0.000531723136647873 0.0134436883726123 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00725964830989144 0.0336110827359303 0.000141542528762287 0.00313905668623361 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00490581139612215 0.0207897724893535 6.15223501173505E-05 0.00120225652627855 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.295018932166154 0.799524106212785 0.469635959267452 1.76921780719562 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0889311357932772 0.361070694239818 0.0319389679477594 0.380015926623486 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0448921435132437 0.205825228327192 0.00656599426510592 0.125511475659696 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0280733942918963 0.133777315509281 0.00237991323456498 0.0531891670754981 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.149118060197819 0.550790343499855 0.120646758563361 0.872166256620914 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0362242874366514 0.173575505266844 0.004822654261689 0.0950028512403616 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169592949150466 0.0839121173243109 0.000935530243031008 0.0232455125889259 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0100739331845612 0.0507906707371918 0.000321446888306342 0.00904665206309024 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.113792420288798 0.496049969753862 0.062846297452056 0.648460110308156 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0272121365603682 0.138648706307591 0.00221655147035826 0.0533489359052046 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0143956788325958 0.0665824473328415 0.000577683521459815 0.012433895070512 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00948547760592872 0.0406978775217483 0.000241469766652561 0.00466069620423602 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.757111562952614 1.42959926909343 3.28703204084731 5.2426129940126 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.213357201257588 0.68480581634947 0.235089486486921 1.28271364143999 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0985769345744145 0.402197116367004 0.0402679000803675 0.459287242839315 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0585813047643508 0.26476944584244 0.0118936538854122 0.202461946665795 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.384371632759269 1.00841151784544 0.90346307316262 2.70817662784596 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0790001831882922 0.338606836714694 0.0299768623281622 0.343793433492895 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0346373232519179 0.165492879681178 0.00444904077346914 0.0868056296790876 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.020084860195137 0.099033309280854 0.00135179822092841 0.0326358231467385 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.302889970465799 0.914213401310036 0.533804386275531 2.05513468137751 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0568689595608612 0.274243857447393 0.0109641146745549 0.205883867195777 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0288915898267265 0.132664241163211 0.00243003959237923 0.0493199940159621 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0188321686406968 0.0809246629534658 0.000996233233460124 0.0184636718912012 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.96430949572479 3.68950505664816 49.919811212841 33.4151487025007 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.951047636143209 1.74296925124984 5.19751868775147 7.510207995846 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.419324765985306 1.08052860297716 0.981667789828746 2.99961566481887 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.226267745251311 0.742088488359571 0.262842925480479 1.46769909957994 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.67567455364234 2.51126470443805 16.8191790748823 15.6484553594697 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.330135848854936 0.921891254065451 0.700773104084068 2.31138621512869 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.124068346378848 0.475992535378384 0.0880666368009201 0.662906183097847 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0658773699830982 0.289940166901336 0.020823876258428 0.259732820842275 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.40697863149354 2.255861193021 11.5769654602116 11.3535574859682 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.229799930341614 0.761700297024229 0.268651444127696 1.45970757354545 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0953046149107399 0.388445707678447 0.0339243924876293 0.405762995724148 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0582662188203582 0.240470868152945 0.0109121051157096 0.15940453597761 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.2621350903712 5.9536738659646 156.363825361305 86.2969128481444 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.82147563279524 2.67727220527414 18.8978154033586 17.3783186412606 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.843652862197294 1.65412846428139 4.05491146595626 6.718711100394 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.457175070845263 1.15467595484302 1.16284418293139 3.37839169145077 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.09893591635061 3.93417731847314 56.7181108861025 38.5585625946309 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.671705387374985 1.4219216366918 2.93122961238205 5.29773481733055 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.245282678392938 0.758519907282546 0.394252328838236 1.61364189577661 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124048086598458 0.471223399788306 0.0930104682764389 0.659510006180305 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.64908309083832 3.5091085217054 40.4126727392058 27.1278710907796 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.480375613887163 1.17465903240542 1.26723859258869 3.26390324036709 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.183263914534438 0.622947891625085 0.153025967582651 0.994672110667091 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.104526681392047 0.393596178402582 0.0412335622811841 0.413000297504991 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.57070871056743 1.18397242377224 1.88664558581709 3.67897017463581 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.161035554221851 0.555520324845522 0.129895615498677 0.87677053997251 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0759718489513653 0.322535102780531 0.0231029770933349 0.30646119281434 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0458430942687108 0.211117810125446 0.00720901413259367 0.133411028747322 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.287874412491911 0.837764517705152 0.492430980992207 1.93182540823307 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0604558255159239 0.275233485431679 0.0152523939771618 0.235296031611643 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0272801474612727 0.133941002828216 0.00254950398386982 0.0582267187857768 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.016047603391193 0.0801406902841675 0.000853123387661351 0.0218091149097949 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.223188377531133 0.754947097235594 0.289152058609489 1.46918597180029 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0446550198096467 0.220945409148982 0.00665309610266841 0.138132215695336 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0230700770526514 0.106539692672321 0.00158526697286648 0.032724041529996 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0152709071279088 0.0649770511209718 0.000668965093253017 0.0121965377214529 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.41026049058328 2.11605017791995 11.5816359374665 11.1814077598135 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.411610964060276 1.0198705687256 0.977135297018195 2.74518117479074 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.180388358323934 0.615715231994409 0.167660564392462 1.05512424574731 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101612230262523 0.41185258176493 0.0451558971015338 0.487331215713252 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.753652341993536 1.49260853494107 3.47845922849994 5.7323066294271 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.141697241452664 0.528239932729847 0.109905386804894 0.818236421112211 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0577505184197495 0.263535221096969 0.0136832785096759 0.216570458341496 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0326207206645211 0.157963188326952 0.00379970450724603 0.0813600200291136 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.610496893160187 1.34397213173548 2.26914452572575 4.33018086851921 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.100412217643676 0.43020278096688 0.0434432918003994 0.505234123025636 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0473049832275753 0.21158792072337 0.00728154270683977 0.127423140959922 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0306151580620163 0.129488292047081 0.00283222262290936 0.0482160921088614 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.22509904186084 3.91879180936199 59.7296378532035 37.64995369237 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.04653750099794 1.81852115669077 6.4297480439806 8.2576010101402 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.465026634419819 1.12529095156597 1.25402155521557 3.28542091828115 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.25019338537524 0.775372347135816 0.340378602016707 1.62484944261894 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.84538696775563 2.66305594511637 20.3733333733269 17.8174193903455 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.364282998446943 0.976057961381099 0.833030384336648 2.62067528490143 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.135031450501852 0.507773600870507 0.0992375866161682 0.761151382949321 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0709150309266699 0.309810059013019 0.0226704696390087 0.298979712657484 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55018100463471 2.37835477307162 14.3184040853678 13.0403606800864 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.256639156041145 0.803911488014749 0.356881689747323 1.6502497142637 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.105125031887202 0.412345367933547 0.0455544551538046 0.464687403047852 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0635654927806066 0.256505639931936 0.0137519144444014 0.184866004132947 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.6859266054036 11.2931493412944 645.967720197695 307.495436285809 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.92275896096213 4.73220426646875 87.4776616385404 54.6948120450703 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.94765473958277 2.81047312885861 21.7153077122249 19.1703787401134 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.11209492490448 1.94569362645652 7.11402202398833 9.25377268199391 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.5884309060044 7.33862682793284 257.319875327327 146.59426193484 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.62492147047278 2.48643915072708 17.2541201104636 17.4005234841349 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.62989901060093 1.34179214266204 2.77705565393456 5.05501761244101 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.311699000460282 0.856131159766651 0.714258396160755 2.12627385623028 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.69654728227846 6.48755705012754 188.560661630945 97.4310114782651 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.20977338859932 2.02445641101832 8.45916233088518 9.42955991568913 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.472055923436583 1.09741486241479 1.23066134001526 2.92787130830345 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.250692987499966 0.720027111252799 0.312315642622746 1.3235565719348 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.304301239989 18.8416914885145 2059.39501218628 896.552310494537 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.88988201458632 7.6158325077659 316.431592310677 145.96033093511 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.55193836290275 4.37635569140914 90.2343457251051 47.923656345094 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.11163092895842 2.96363521005237 32.7794033509937 21.6178090530847 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.8109497032041 12.4355204620403 1005.66161050082 517.519798081934 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.21181185776555 4.04587782755661 103.204743419467 61.2605711039637 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.35961122894978 2.13042742759795 24.0122314938315 16.8904366971561 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.706102601466118 1.36113512918709 7.59691527312574 6.65939844745267 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.2521020881514 11.1704009524755 643.502203194084 689.226928035821 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.36204470988472 3.25034500502529 34.1980457817355 33.9604276931347 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.987510405314334 1.74407272023202 6.64554959817847 8.79939945331877 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.530134046657073 1.16384368881948 2.06167393839122 4.066448457103 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0208724955757621 0.131723523604249 0.00137631696715044 0.153248155882789 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00640576858706852 0.0372889037150349 0.000137124621380662 0.0120461647701277 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00320682590796939 0.018491646889446 3.42232299889492E-05 0.00295629881959147 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.001996135087162 0.011582628253297 1.28807319643501E-05 0.00111630830325245 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00630324862053383 0.0905988333719635 0.000268271918303804 0.0558892519650513 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00230380496401086 0.0300708594219741 3.44868362583145E-05 0.0063692544134573 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00182275109693407 0.0170840497162454 1.76571637243073E-05 0.00210254612830894 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00187961284897069 0.0143350229989845 1.54006747658511E-05 0.00142996245114303 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00609655612689339 0.0460287978359944 0.000201604536051732 0.00926920932031994 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00293452433718573 0.0138423715227056 4.90399042540367E-05 0.000788782401283991 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00204278084221698 0.00801848785800746 2.3919065827731E-05 0.000251945665029189 NURBSSource NURBSSource 28 288 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00171038946622459 0.00652714921340151 1.59710834727174E-05 0.000170735828591275 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.141541245344663 0.606276198558839 0.0857716525431157 1.22447495874012 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0500854418196853 0.248747375244933 0.00895903579855382 0.201377364986378 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0271058462868376 0.139331628605133 0.00256997360504376 0.0625294131780271 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0172637694834994 0.0903521864583076 0.00103875030068677 0.0261739705126559 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0721562499110657 0.405742322764473 0.0226611162698778 0.541220398143703 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0208696815483667 0.123058372406292 0.00169166571016339 0.0518660272395188 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0101060065486808 0.0601645123887038 0.000391268567804531 0.0129963213458484 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00625167227000099 0.0376346917441194 0.000149427552245425 0.00555404742391902 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0549394141732439 0.373730057934521 0.0128006992943545 0.401722459790397 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0173525341731703 0.100291962456679 0.00116228162249624 0.0287184108439491 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00990092560264553 0.048614483427162 0.000380902370920617 0.00680351618249288 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00694127584193067 0.0301945146712251 0.000187258613588591 0.00263513259180622 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.353541495048532 1.08240101052906 0.686022517039838 3.39024060650464 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.103617198713884 0.4822114593857 0.0440082252015079 0.710001450198963 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0541631881982315 0.273698117418698 0.0109455167943268 0.23020972418586 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0342777371108589 0.178101085639994 0.00428144279649611 0.097459252582915 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.164863196771097 0.761149891802498 0.144185939111159 1.74842104791223 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0418464770529793 0.235326640022271 0.00714407369804862 0.178354036382364 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.019924730187264 0.11370359214451 0.00155642603048152 0.0430053471444579 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0119993622147526 0.06874276035208 0.000565379944746807 0.0166291322658129 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123822949462934 0.726445559467528 0.0778939799997564 1.48865186409152 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0343668090338329 0.198306205725557 0.00461140039068905 0.113096875143453 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0194596958226301 0.095881548335182 0.00146412654608106 0.0266550446920244 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0135126835746037 0.0588703073607776 0.000703452040723078 0.0100244144551749 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.951861561178817 1.89046523149335 5.37662144075042 9.19127817878047 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.248102621235758 0.916238548446025 0.316129644988027 2.36732451689161 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.114266232398031 0.538410302610121 0.0552936093263478 0.855398149875727 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0696581949262549 0.353479299529244 0.0187852142921674 0.373136454240129 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.454733339908108 1.37915619907613 1.26988278512843 5.15783382727295 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.08780803297054 0.460421516240447 0.0357324244163698 0.653947510598056 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0400493731994088 0.223079307643908 0.00659993905496171 0.159029805091874 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0237911434681829 0.133420335619947 0.00229731871046731 0.0591529159464879 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.362287382340342 1.33282935853905 0.810758574124963 4.64836466362165 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0695944661021396 0.394236348705801 0.0196741591907637 0.44614910922487 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0388021404772343 0.191044774953028 0.00587805272615608 0.10592824412112 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0268364635546034 0.116923065751799 0.00278449889084091 0.0395126127341603 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.8339397926801 4.80886463127781 86.4650430155256 55.682302960988 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.19910061774775 2.28810004831065 8.50126427086567 12.7561936868056 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.509398175242257 1.44320838513391 1.48421357648504 5.40607130167133 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.264186887021117 1.00200164081451 0.362313108213627 2.7551873138468 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.14554044048243 3.36160486984594 28.2403791537837 27.399727544194 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.381962857264472 1.25993164595832 0.918885647748057 4.37183525623619 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.136879414287362 0.650238189153712 0.100558923130136 1.27023777453431 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.074699991598873 0.393913191555798 0.0263322791852196 0.488588052566483 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.89484151848458 3.20475635258421 22.3500064356375 24.0947093137246 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.277947842703064 1.10847340961654 0.4095759468457 3.27888357912299 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.12095684197437 0.566519934828171 0.0622523657036116 0.909835386320924 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0806806136292059 0.349293176534111 0.0261604526637437 0.34682328874911 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.83403785482924 7.74511261245557 272.781865683825 143.453251363795 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.3336979943828 3.49246519400468 32.0384953582627 28.8786736347418 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.06615863429076 2.18471737785269 6.69004461332055 11.6270253219504 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.560768401484154 1.54559025079951 1.80449091915478 6.11103532092931 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.00707882270013 5.23876951941733 97.487097992835 66.6714413751573 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.823632653096162 1.92389017207556 4.38321257035046 9.60246595266881 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.278752095768311 1.03868481134925 0.493566931327027 3.07679080716646 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138701841548396 0.645650405255009 0.109648820888999 1.26799648451029 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.61467220456292 4.95617187462781 80.1727530258863 57.6015674558814 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.617894447448417 1.69200845443893 2.21154519951635 7.10636398140629 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.229173337254588 0.913686786283868 0.253781868628662 2.26404978453998 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.137909609962703 0.576938112384943 0.0811843738046795 0.923100865063801 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.715496123622166 1.59890443492628 3.1367338828363 6.9624527158291 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.188943439393432 0.75449561985942 0.184077571924276 1.68284019751307 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0901394278425279 0.438042070454894 0.0344720929696216 0.586299976979303 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0554862361480352 0.286473668387389 0.0120682666758172 0.25312260523912 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.339507391959556 1.1623329951225 0.75157666530788 3.8222238611611 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0700191519138798 0.380287392778685 0.0235443960949212 0.464921908196762 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0323337347512238 0.183765438873953 0.00448407656164447 0.11229868067939 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0192704210083061 0.10994483627772 0.00160199005926186 0.0416899772797033 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.25991913950902 1.10872233067288 0.422209710418126 3.32406913524164 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0560484382599512 0.318531883265148 0.0126638630973704 0.299056842808421 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0314202051733217 0.154326975877104 0.00386451517604971 0.070981013339356 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0217793685027635 0.0954093333471317 0.00182467689106254 0.0272363430970142 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.82261001722202 2.81797781539612 20.3157436237464 20.2685770597093 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.503643644048132 1.3786041441963 1.52508867710146 5.10570052715844 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212086410442847 0.842301873070316 0.238927739412943 2.03634252253163 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.119100479398908 0.563762427635484 0.0647920609332286 0.943753490447971 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.95179823485788 2.04113883097617 5.96085122164269 10.7112789568412 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.162663775410703 0.734308148241113 0.163712774760067 1.63019983558798 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0670139072502643 0.36281641340096 0.0220501467715979 0.422506875582598 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0388754629186645 0.216886323168045 0.00711087478473965 0.156131084478685 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.788473047128383 1.94600241678595 4.0413820574068 9.36774084392563 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120925772357266 0.62649600078589 0.0672768696425424 1.13163118225103 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0632571246145728 0.30758614620554 0.0161460010188352 0.280430863069816 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0435174082285982 0.190390012917886 0.00740684331918453 0.10800606732401 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.21705890984241 5.19642406450546 106.954992811728 67.9380897927596 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.3400522046905 2.42853981310834 10.9708166584804 14.702844886845 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.576732845409312 1.52934308776797 2.01550742786344 6.12918437489083 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.2989322509732 1.06490723311666 0.507924220064557 3.13502197714527 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.4030863581529 3.60443838347602 36.9241955591255 32.2950116182454 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.442675777026371 1.35272383424609 1.39663542795835 5.10357511078845 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.155443074360482 0.705492881490786 0.155333896298514 1.51473742017546 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0826615886470522 0.428964542029108 0.0387712358731894 0.589380146282888 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.09502400434974 3.39823928000972 27.7484400497947 27.3931794065624 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.32143069013395 1.16881716571997 0.591238949451455 3.66975371548417 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.134106289931712 0.605603358105563 0.0806235721385001 1.05678904518667 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0877707050320126 0.379323509493084 0.0315019993679853 0.42188889995036 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.1052393541165 14.9805164201587 1195.84597216655 568.251128034804 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.15496857219525 6.25893417122588 160.331762571374 95.5548814273784 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.55512831504721 3.75104612446836 39.8899699291243 33.8238288985496 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.44722369135244 2.61853641878383 12.9760571482557 16.6172753313333 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.72774144494561 9.8540511882089 492.703110706466 271.263766526835 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.16085120520241 3.38690688684501 34.3471113070703 32.2028538330187 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.807737799706276 1.85910471348872 5.54438207501116 9.78207233772365 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.385409840577724 1.2010403527729 1.45547101362719 4.24764049074468 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.88909205214693 9.18472850029062 386.45190467278 207.870887081322 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.66502061012171 2.87954894585705 17.0963741093693 20.0620304951238 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.635013255180763 1.59747705851491 2.38282705389438 6.55989396217947 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.336514407841938 1.06863841001695 0.606232563068812 3.10315407442824 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 24.2496168998891 25.0558816842047 3692.0143460347 1606.12062380639 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.10798932672062 10.0782161609347 559.770619977999 257.724089253215 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.71085772953099 5.83062680093281 168.549747058453 87.4104567058424 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.80881724623075 3.97018438058896 77.0158850369403 41.6774804598265 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.9486928084443 16.7022624724076 4072.42061067175 978.852994451219 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.70615335286923 5.50120565626261 2487.63129507503 113.804017095306 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.22077043211357 2.93936696890117 2399.6903958821 29.3026775113296 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.30533563747972 1.90264074206011 1954.70090091773 10.9477812779305 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.6390550939411 16.799302441096 16320.6742903146 12988.2545735469 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.39006692903685 5.45383781009407 127.283721576336 11680.337121608 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 24.1099599951276 3.76393326856673 17145003.8573051 43206.2149649365 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.10572969413454 1.79367338712713 2253.71563871265 83.987462036959 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.00995473637893012 0.00867842930577408 0.000297788960220891 0.000474248605277835 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00325445862893337 0.00330616359770761 2.73577780492745E-05 5.35572515470794E-05 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00191961299195168 0.00233812538251885 7.58765528637476E-06 2.06658195188555E-05 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00153691171260889 0.00219065099336037 3.94426658455268E-06 1.66245988061023E-05 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0134422760605685 0.0116629676957534 0.000713981207889717 0.000772033034196626 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00521099406989975 0.00637807815598639 8.9745212716506E-05 0.00017468084185332 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00367687844464177 0.00586958730298882 3.34439918385674E-05 0.00012986804492917 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00341128053014197 0.00615993412472716 2.33676523873131E-05 0.000154379446713994 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0103614360087996 0.00652584738707643 0.000405282840180614 0.000180870317835737 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00547394303149842 0.00243426969790473 0.000109666222981483 1.92026147004134E-05 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00390271769989961 0.0020424259480946 5.27914450296615E-05 1.05359790803016E-05 NURBSSource NURBSSource 28 289 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00331273469975975 0.00315333684715325 3.72458702875289E-05 5.11289398148411E-05 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1871131892323 0.166206151496508 0.0959796171596049 0.0724251193419286 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0760372423974868 0.0666502828526886 0.0150784362487143 0.0118624564207238 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.042249560880501 0.03697462758183 0.00458340791348829 0.00363049143371648 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0272780740255376 0.0239517213769187 0.00188820649848593 0.00150947182069836 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.121579596846978 0.10643442010475 0.0409119285718559 0.0311663873396945 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0366738776406023 0.0323478959431358 0.00368956731259662 0.00305806684254713 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0176746723060293 0.0162762423087225 0.000841462500983675 0.00080914813546332 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.010681612842707 0.010916693692281 0.000292943259862946 0.000407980975581068 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0888637397240345 0.0880144648107523 0.0220223973048555 0.0199622890874324 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0289158424087707 0.0241413146541177 0.00231763144001642 0.00149097547989039 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0167040044373355 0.0119936953011045 0.000789972283913724 0.000356851809402307 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0119226944085237 0.00831280317785093 0.000394057378442093 0.000189706769912378 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.370522485799259 0.335075317182163 0.398965669228055 0.274535853374498 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.151564941891032 0.13336769770195 0.0615808014096785 0.0461327967906059 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0843443076114854 0.0738490691666178 0.018624064443585 0.0142764175732974 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.05446288792803 0.0477196901527934 0.00766925895925314 0.00595631022078258 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.23971527430497 0.212647657036332 0.165923282980761 0.118129289821246 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0725015987115349 0.0636427748425573 0.01475745514551 0.0114726129533977 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0347286147723061 0.0308511950392259 0.0033442252301397 0.00278784585044191 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0205441239101785 0.0190163778095607 0.00114158697419827 0.00114140919607086 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.176098820988884 0.175471961042254 0.0887542125006257 0.0769126848079461 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0566869960643286 0.0480003921141931 0.00894853342304571 0.00588017178709607 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0324432572016286 0.0236365842527089 0.00300856191797226 0.00141908373525129 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0227852689482598 0.0153630852808348 0.00147497983982236 0.000616718150097257 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.731704920257622 0.682042590614897 1.66428112726543 1.04143646122518 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.301468398315838 0.268099801653876 0.25175353233921 0.179272863828039 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.168288002880601 0.147878493626461 0.0756336918623006 0.0561048347483835 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.108788172408371 0.0954084287706582 0.0310726532624952 0.0235705436413264 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.473235043174373 0.430621126772179 0.681444935733515 0.453061041792834 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.144233199639749 0.127104183387249 0.059722173300041 0.0444631449161042 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0691117500980324 0.0608510493698334 0.0135220276893233 0.0105573277671879 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0406586111363802 0.0364912758310518 0.00461215842578654 0.00400172781948895 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.349922207843464 0.352907705605968 0.366420037677267 0.294134985786453 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.112391764234413 0.0959243292574365 0.0357546068341432 0.0230477036505207 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0642781188936658 0.0470949076731942 0.0119664574240622 0.00562237877006819 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0449231504356679 0.0299573469375258 0.00585413410447052 0.0023208231674966 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.17346390179416 2.11407501909509 16.6227991533743 8.3910894546889 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.887092595968124 0.823769668476182 2.35415590612139 1.5360490200242 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.499127851272488 0.449063612249846 0.698624809135231 0.487647902914287 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.324318993857296 0.28775339262359 0.285773347785592 0.206569947192083 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.38893479643155 1.33440140411944 6.59218581096885 3.73879548357774 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.427223937535665 0.386359943907448 0.552523185236856 0.38450497455097 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206071045078844 0.182784025068349 0.124428979389712 0.0911894549096866 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.121473854897514 0.108393240339554 0.0426733006087063 0.0335768676726908 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.04462292334615 1.07882309282926 3.64543200043218 2.34622733448848 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.33157273631654 0.291398485270405 0.330161793714691 0.196659773917257 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.189640148531858 0.142323542845923 0.109002461457193 0.0484991422953177 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.13263977455381 0.0897439855951538 0.0533184056878125 0.019829767357808 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.64626839856837 3.57815578430163 48.9174632141736 22.3985884186874 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.46289766629368 1.39210421082023 6.71549902960688 4.13088066603864 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.823309476128099 0.757340480970842 1.96595576894046 1.33012067071776 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.536590918981126 0.483241482333507 0.801801983487898 0.565072467764392 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.31042276416719 2.26073413973698 19.3163537394073 9.93809885309097 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.706006435897297 0.652294744795171 1.56910414651623 1.04447077793232 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.341888925996522 0.306806018897749 0.35102762618757 0.249545044357454 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.202127936918216 0.181279503419608 0.120548274909686 0.0914856794952609 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.76153586427056 1.8116603119938 10.9763802981392 6.0038062786327 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.546090500804232 0.493946920874751 0.935798819507952 0.530481329743758 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.311846486882675 0.241109666596161 0.306405168929339 0.131845803269783 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.218366299297046 0.151503028295592 0.149724019997369 0.0537650693915912 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.593435275371388 0.543948561386405 1.10501508374423 0.699916482436312 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.24264577694805 0.213642858449359 0.167792539798677 0.119487255473235 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.134961531682932 0.117823499142155 0.050377410445674 0.0372873749583307 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0871048907079796 0.0759443858078316 0.0206929847886258 0.0156068736236364 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.3827893316265 0.342999077705897 0.450063262634736 0.301807397876768 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.116844923569859 0.101487630839638 0.0402243692061365 0.0294541128143962 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0558439435440143 0.0486207051253873 0.00908316412601184 0.00700745296155463 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0328342983085565 0.0293728723048325 0.00310393970662777 0.00267713580086206 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.284889342933539 0.28348093404335 0.244830090532224 0.198976629050236 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.09211907097653 0.0767637104337527 0.0246127194028845 0.0153622019403156 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0526881542597185 0.0376845896807868 0.0082135652406846 0.00369871658387908 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0369607778976594 0.0242933529561203 0.00404911168839533 0.00157897419815104 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17172908093698 1.11110492399641 4.65123933563642 2.64201107717696 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.48096722652296 0.431951208555192 0.686165626559151 0.464408962416316 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.268801679689667 0.236479827600769 0.204822197950999 0.146008886417087 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.173849471587617 0.152073658664764 0.0838661371215005 0.0615830244603745 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.753759500996581 0.699599808598301 1.86243631839709 1.15745248580685 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.232451790983073 0.20369866532153 0.163471052962512 0.114849183430081 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.111419085524385 0.0967848288579066 0.0368521186017978 0.0271707711164961 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0653645806591738 0.0577325086024351 0.0126017710570802 0.0100565408969357 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.565378762058353 0.572900952681115 1.02474509485943 0.750461100843571 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.182817423498799 0.154011399047843 0.099478046976909 0.0597797335192653 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.104561000236406 0.0754145983668792 0.0329884982828352 0.0145454807667256 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0732758671892527 0.0480108636925852 0.0162716786308683 0.00607527346442072 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.33732380798327 2.27820357312143 19.9390238118528 9.97643478593814 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.948882583965652 0.879651916527964 2.82012934969954 1.80052222134958 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.532696339497808 0.47807678923801 0.83313879480752 0.57121064800842 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.345804804062801 0.305758029595469 0.340129850259492 0.241821434880294 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.48807397289039 1.43188685361415 7.86457496085137 4.39158686236705 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.460685596298095 0.412341927522114 0.668886349880947 0.448178466440141 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.222091854790673 0.19437370632701 0.14987344909612 0.106537635402086 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.130503323063649 0.115282611426644 0.0513611535140278 0.039114425167132 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.13070117516306 1.16126186052762 4.43080197568754 2.74356133858673 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.361095429811169 0.31209422050249 0.405394100221064 0.230860443342935 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.206632840779334 0.152372743461168 0.133354808680397 0.0565548462816567 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.14499018899327 0.0963903267034055 0.0657698655838896 0.0235127078252822 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.13180665414595 7.09285970548519 199.592384450551 85.850377317583 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.79879345787048 2.72152298114008 27.139917160641 15.1448611446401 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.55984308493894 1.47412529479385 7.76005371255983 4.90684374008393 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.01566905187791 0.93690383275211 3.12689065087184 2.09951395515488 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.52040460740569 4.48869499108848 80.6937593099387 37.7708184890446 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.36276604133948 1.28742064801314 6.53974602013428 3.91178883426908 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.661884728513395 0.600379679323509 1.43732926801834 0.944256213553671 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.392685613272533 0.352339661935774 0.495474864636298 0.345577830926411 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.52831960790328 3.59242621807095 48.0519212144087 21.6394684978872 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.05412912418794 0.981844003726773 3.87563110525438 1.93644192848825 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.597677392046764 0.484022983630111 1.23846921334732 0.492882742113975 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.421179260574725 0.305014765672395 0.612020270449773 0.203697549945809 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.9960782688939 11.9703082081242 574.051459607362 237.538742887081 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.65856877496409 4.58422683659787 77.8948448240055 40.6703797611146 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.57147783820904 2.48063462431703 21.9781299694124 13.1219867676632 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.6675859946412 1.57585124247876 8.75079295713828 5.65001499608459 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.70256160590176 7.69493921163353 243.356229459975 108.497171787443 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.29826762469671 2.21662691105601 20.061506785793 11.1659674586211 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.11395112872301 1.03359239279107 4.38632598986869 2.70369015914708 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.663431731405213 0.604489548578576 1.5109764355051 0.990646856320447 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.06896591707711 6.1546386539152 146.942399322438 59.8385414743786 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.76515761788029 1.69606074454678 11.6183995617174 5.24898834487788 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.981947379287776 0.851274873066836 3.61760471510116 1.39254789442966 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.689769411072188 0.541057847377424 1.77943923162967 0.586088254158124 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0610112180963854 0.0458372874880405 0.0172735355572969 0.0141048754949206 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0187573473994274 0.0130910866974192 0.00140301891936731 0.00106600574602614 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0119032563723054 0.00698724931454238 0.000455971551500076 0.000268900418275619 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0111395823783361 0.00569012813046001 0.000389954016010482 0.000169529244832261 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0447750718260372 0.0325721033515273 0.00965052649994111 0.00466011927988058 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.024208843675986 0.0144852171563363 0.00238370575790516 0.00082720758140676 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0242353004927495 0.0121302438939059 0.00265729147373893 0.000719895857070985 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0321132186698826 0.0168480332930368 0.00683533782707131 0.00331357726936289 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.042129493666879 0.031798931805502 0.0105200691804786 0.00568972547125072 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0121248679894569 0.00935068117562879 0.000692798214267255 0.000395671682791093 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00774139436520502 0.00578371196446831 0.000283098757090223 0.000462868494315044 NURBSSource NURBSSource 29 290 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00807489984597592 0.00609602997608559 0.00045100186580969 0.00181311505284446 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.586035738162245 0.520854940755696 7.44440094433208 6.169390795827 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.180520648198532 0.147380878140667 0.560222805803534 0.311742757585566 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0859130107362959 0.0685102446944426 0.0990807516612121 0.0513440159063844 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0517530961754368 0.0402435341887055 0.027100904289635 0.0145627791423513 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.375409453944958 0.324876809613641 2.12002385647855 3.61495420929329 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.123668266584174 0.103114676449564 0.190541996814582 0.385431824143855 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0695702863241822 0.0548835701690273 0.0517941455375045 0.0919401958731907 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0560663871820713 0.0410393485240838 0.0264604900043924 0.0453695381366452 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.415972417698477 0.327850966699492 11.8196639071789 3.37068422193362 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0939376665183225 0.0742778508877584 0.16577600017802 0.0756489601097823 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.052110396113402 0.0403311822358204 0.0434144063411867 0.0195627556114008 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0383969744360084 0.0310076084597507 0.0233029978697944 0.0179259145973554 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.15906732175242 1.06389655021629 28.8687507698333 21.6408797235045 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.356374133011427 0.299383404592834 2.14238354683149 1.33964541257501 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.169008220297218 0.137442561717902 0.394454493572439 0.222684494771948 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0996370436550085 0.0803602103832598 0.100475853637563 0.067893817908881 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.735730276121641 0.663043493161482 8.19133572991121 13.7440059337848 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.239155612386302 0.207272746946235 0.768965571465383 1.63726324654039 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128012643126684 0.107038842689311 0.201873473781149 0.416020256789291 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0908273464296313 0.0725752962565797 0.0834728630405679 0.203883041686038 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.825939348007389 0.684195204184203 42.3547604339001 13.1195891066717 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.1844840281607 0.149227888639069 0.697641370902231 0.311394399309686 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.101690832328609 0.0798220212596737 0.181126936888697 0.0755873485635466 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0740986471996494 0.0597571934833716 0.0918792433914953 0.064943704500913 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.3211858111045 2.2073778557379 106.088976394645 84.1171590800512 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.71329646582137 0.623490791531708 9.56429395546713 6.75056366198685 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.337939443877073 0.283208259729352 1.85316933928995 1.28964499881441 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.198060020964414 0.165213002045822 0.452418705068216 0.486195984084921 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47360526554329 1.38124909032762 40.1532018620672 55.2401207284397 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.474536989409911 0.428257060071432 3.60990545371551 6.87936528954778 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.248909042731616 0.218458473483373 0.89335133791026 1.90218393236973 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.165807611400889 0.141343223107503 0.33246225613014 0.98022706398996 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.67286691653384 1.44847294453599 143.640862078865 53.3077660663569 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.371195573546294 0.308465622042913 3.11394860783349 1.37096886077386 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.203926632139847 0.162841158282494 0.837925641951286 0.325311555305751 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.151073015473118 0.122975362733279 0.530009782240194 0.369644462673159 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.54192340497801 7.18619777390326 55444.8987193367 1594.78864201634 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.67520031167994 2.17250643379827 5874.61200725834 255.004409156369 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.158266220148 1.04665341110435 187.991913924447 138.775244356222 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.659356517270996 0.678169125795043 44.1617029605923 160.106550923521 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.91102873568692 10.0330260411684 2548.70172563805 816177.257533421 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.60750007717045 2.54903787873266 458.305087801068 35249.226838498 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.69003811464889 0.848864110758847 27202.6868597388 209.389286586982 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.44902714376533 0.55944385631047 32554.4034797485 112.401916308287 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.2719739932475 5.23757949073941 19682.6065817497 3354.94856844451 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.24925727836004 2.08965637137355 86.0164178341022 31007.7820070331 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.684895361851594 2.04699967584453 22.8412657822055 78115.8358833032 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.534862174405451 0.96799741240216 43.8149955705977 11680.8110205032 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.554542255636 12.6701300812492 50282.0016910158 6722.18273464016 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.85559839793211 4.11935970966276 8003.32799329451 1645.43915760139 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.2776238033162 2.11299540763866 1054.06046824153 837.79986976891 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.38311618809126 1.501668258534 544.374917686369 1313.71839583441 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 28.4197441610607 15.5183570342053 4241089.56179573 501474.060763211 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.73765007995482 4.87444051022714 671348.714331357 47683.8474679149 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.68727520037499 2.98915065800886 176128.360632918 15206.1449052594 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.22419472786363 2.37627898139787 20679.1091584443 12282.6108810134 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 134.836503891831 13.7657561640528 307130186.051137 338313.113473515 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 948.815457561574 19.518538349168 32044475660.2706 4430712.91592552 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.35190971029509 15.3707368799786 557841.243870957 2777059.59112905 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.23690873931541 10.7491842489213 12434.266980385 1687997.30118626 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.81308645659235 1.78064069061607 68.7685927850199 157.033752141783 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.567213350634615 0.514478928264527 16.6332232280283 33.2039251741293 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.275505245749411 0.241359184522647 8.20806416367567 17.103710783225 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.165099844867293 0.144133039948576 4.00906890609887 10.3092082766729 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24400934040675 1.11929450645606 367.038169204873 172.380782157487 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.406216298439767 0.334539429592191 37.0302094432443 12.5228767234782 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.199027129212998 0.175751227509689 0.733097987461616 5.80547021068199 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.13412911534237 0.117747962184326 0.282667188253164 3.07995055953024 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.33216209503232 1.16484226771067 211.305150060084 47.7663029073335 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.284367728656565 0.244848325341917 0.915384882995969 3.44642785458007 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.153853818314415 0.131962987184209 0.223504004943722 1.04463184472662 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.112755231486217 0.094863127968993 0.159710452407266 0.19665842084802 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.68355762255713 3.6431021871275 230.79371245781 316.295906487045 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.11689460566185 1.04637579009958 24.3446605396472 30.9928923746009 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.529893970355904 0.473677389765652 4.91345677344188 7.31115039744161 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.31326249387823 0.272322036884531 1.4499369309956 2.40589123385197 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.36004506947493 2.25269777611093 105.316547548634 111.376733450618 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.76470622726255 0.674298580729724 12.299971202614 6.9907030293467 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.396320077324394 0.340766976207655 2.81081600874664 1.84850054860282 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.257630009835883 0.215588637967625 0.960615750597562 0.825869306662226 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.58875797918549 2.43908195602128 151.736089703002 108.594720060331 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.577806057903894 0.51099148603415 4.67160603926806 4.85472464923308 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.313377048555489 0.27383027229312 1.20298381046648 1.9092189618337 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.230910896210238 0.202482787396904 0.77974278326664 0.948274126402141 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.45703831250035 9.05191482176063 5904.51418113841 20841.2048444325 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.83769769755267 3.17170057926375 1950.02794533477 7657.90545686576 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.54778057649781 1.56598028729909 1374.40953159802 1852.9001291835 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.06143351166525 0.954075887562198 1213.69956022567 726.30042869655 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 27.8998576448976 20.7878178326137 13687012.6457898 2234860.4731848 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.17187345585184 21.0884936959152 32288.5827370409 6102549.50061428 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.39352865985056 9.19761079645998 29994.8071777054 1089462.67560585 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.66397895376482 4.96245168379747 88960.3975572952 313254.228435212 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 32.8323553164949 50.6922410639791 5295580.59426212 39375882.1293834 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.09025717505143 80.3831310563517 439784.519098239 196682055.025349 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.97530700650697 23.1466487427938 54934.1853145219 14016549.4826641 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.51009249735387 10.8106928039512 1421398.97548896 2602758.41499787 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 25.6531956483724 26.128688020461 23804.591120108 34077.3129203024 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.1172250422145 9.69138220997369 6037.18813453055 8213.33144787218 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.84499869000364 5.52197005152335 2447.29006645717 4534.75315689423 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.14779036433883 3.90754075324084 1522.76501819154 3620.65852510461 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 38.5107355635125 42.2630212330109 731102.741713676 1324165.89730295 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 17.8038178351971 24.3246356210758 362504.390283749 819477.669881724 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 14.0023264699549 12.1895558792787 359372.1196756 205539.206998437 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.1952510638572 7.69719311377747 244169.346458203 64082.0580746328 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 233.331630475611 130.944542860552 1010295290.92792 57448140.8773537 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 142.904097685795 17.1210688085959 164214734.926199 373362.069042294 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 40.1298085482605 10.9978872682422 10055046.5268617 245457.426260845 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 18.7205771074875 12.3629342324238 581665.417543207 802017.084339434 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 43.8451717009896 42.6874188140283 60816.6963965677 33860.011355869 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 16.855354893464 16.8696845831832 23559.7269072908 13063.5598937941 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.87965501673882 10.2474831438133 16236.0224904161 9723.42730677526 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 6.97134323324073 7.53530182028458 12922.3028914543 8319.88978153591 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 56.85551673407 59.8579434075925 715060.476265986 515250.568637785 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.316355664415 30.2257178589209 343090.055072436 303348.076119494 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 19.7524679058886 25.3913786092515 291234.431216872 356355.037162367 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.4966466643934 21.8813380724811 140492.393517753 317210.420306214 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 560.54523375733 135.007867643989 3844647366.14992 10757297.9305434 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 66.2570665359392 82.3300458076054 4969496.82291127 10580612.1917512 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 46.9479840367346 31.5312776356227 3269647.84604603 1815624.53135912 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 27.6441485475126 32.5935063792801 848034.133956192 2906627.61746903 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0669979965716313 0.0904058952159165 0.0115640587901889 0.0589623323099029 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0201907912738645 0.0272663985682567 0.00103507591230485 0.0055467498525995 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0111266664234858 0.0145281438957235 0.000321853974560879 0.00156264203021461 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00924993404368656 0.011158604376035 0.000303322311550944 0.00103640891305892 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0471567714945511 0.0625007783762354 0.00753135897512152 0.0197468446291281 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0248841438163381 0.0321484938833491 0.0021026757538312 0.0050644582106019 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0240836966447394 0.0319047986894597 0.0030432550786391 0.00758991806755965 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0298171172025956 0.0425048462962414 0.00670911630130721 0.0250715209784925 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0481777764357229 0.0619532016231475 0.010292799558953 0.0221248953766235 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0143192402812592 0.0187479563144198 0.00075032374373618 0.00153524272057396 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00924473122719787 0.0124047750612012 0.000351346658613556 0.0010589727770339 NURBSSource NURBSSource 29 291 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00927362351686496 0.0157732342526055 0.0012423111185461 0.0126474774023234 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.956885427833915 0.940841361278515 51.0680626093449 18.9685642285853 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.288374864132722 0.310215793432412 3.795460182503 2.04714569338006 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.129896434303088 0.151861516103839 0.381360932141202 0.525047668975 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0760963775000833 0.0920816295980867 0.109279270004265 0.154138405077446 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.577172841472721 0.633066281277054 26.638164933309 12.5832912872691 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.173429071895754 0.217964978193792 0.611853573213683 2.69113143060841 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0990806885001343 0.119760493790181 0.374877894648731 0.441135204561064 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0733208292294574 0.0909702559626671 0.167761800746399 0.168379287700581 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.651066354629295 0.662786897355072 118.147234032522 8.69115068922975 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152376831989434 0.166491561035684 2.37421785755081 0.547774044986984 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0731760958410438 0.0948695344510347 0.148709493904616 0.249273298975543 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0567909367111771 0.078093131496226 0.160841125276175 0.179041072203143 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.98621587265943 1.97468782652861 252.223569953887 157.255640335394 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.611917746979058 0.642283578171042 22.187429147351 17.6536378374955 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.276410103565796 0.310293627996605 3.57759195155542 4.95365510095663 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.161495513689423 0.187544092983359 1.15794406835 1.694054592357 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24574683813146 1.29222552596611 253.68337076019 97.9134966871801 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.365409214312928 0.444845592342232 5.99445316331351 24.9766537402017 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.202803572242533 0.234822641155922 3.30066608474389 4.73286946998909 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.136911246291665 0.159308242584866 1.20849738361981 1.74159169684273 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.47093883032951 1.33842697352539 1216.36636476038 43.0758764866896 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.324644540609027 0.335300494662096 13.0031841286282 3.29674736810111 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.155244458583275 0.192713370590481 1.3594500620388 1.86536301591124 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.119886882636513 0.153884061296891 1.09881004746019 1.11350160014852 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.76508049080247 7.15338172651419 265169.905196931 208225.600477459 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.1664505481175 2.62629996591424 25578.8469866298 24950.0354546249 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.11420209530788 1.25373096537749 8391.1276665988 4955.1471429841 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.768113199961136 0.947406755294156 5150.80452782564 4795.171491646 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 17.5196980644412 13.8456765835436 3284035.85025892 3745053.98149857 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.2232827313556 5.57038989266691 838950.198617003 275085.518792761 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.72580874486486 2.33813946043005 46727.716619691 34072.306029128 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.0031710887669 0.962908712827215 13114.4194450471 7345.50916699532 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 30.3765937938869 21.3797081052321 13056334.0296936 9994162.18856951 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.57909767436789 8.56126491191375 14326.6723981545 1832757.50128933 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.5776233238217 1.22834482225748 143430.696485332 12561.099578919 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.83165355352672 0.640741698798974 1522777.02031606 970.96091985237 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.7415727755626 12.5815902324284 6037.31017088925 5420.76282675579 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.37015791300779 4.31031612078419 1374.5799654394 1282.63460679622 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.20337103954929 2.22313590740785 632.721255583825 833.965060440795 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.37575089195653 1.43723911539846 384.742139308308 690.972462255259 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 20.3722105925633 16.018758656831 1853006.55444181 585010.944656064 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 12.0889259467339 4.50388545248179 2046908.59819449 21010.8078425297 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.36551969637574 2.61142310113023 302726.62691301 8212.35262123522 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.54371699096714 1.8345669032371 34309.1340140909 4593.12761027666 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 61.3693672754267 20.4323172741333 49600605.6023936 2872253.30399394 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.64273817862895 203.469222668138 243025.376896911 1343478850.16016 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.7726221446512 1.68705308804835 2894983.67641587 1998.48261605099 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.84533392031257 63.7841552324767 8591.03602543069 138211916.383504 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 21.3215118531589 24.2102321113773 14132.7882674332 174083.401666605 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.37215935175619 9.04609322931838 2126.65120239109 42830.9403279019 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.89509155656626 5.02626405622392 1576.2202617524 19297.0020481678 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.5753140972782 3.44517228587288 1470.62855721294 11788.2155129819 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 46.1103163585533 27.1667405922061 4647370.69727033 636187.915496985 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 16.0071712676376 20.4496335310146 816541.321853161 1052423.75786251 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.99539522000801 20.3202230311698 201768.419587118 2606989.26976816 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.84730406611355 16.60546366132 84325.226403778 2093100.88278875 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 237.98029533256 77.1158216762164 387910949.814303 16553310.7964775 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 35.7420495695825 20.8722298013542 8363322.58368732 2345052.62608665 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 53.2882729646716 14.0533291994435 56485651.9096625 1057169.25417138 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.11920197004122 13.4980551191914 400231.968492901 927333.387968384 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.35168170526454 6.12410426861242 342841.635098422 142671.055523773 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.46533948363189 2.45436822284675 53659.846718197 28526.9971246191 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.23772547189564 1.16217109050707 15830.9509640058 5439.54537256791 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.780280369325185 0.714925043911585 7298.75457111457 2259.92863929561 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 28.8559198786143 4.99373695938508 12827700.2681097 78065.9219917412 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.44957242898228 5.5043598658569 361231.46446787 671128.595923489 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.811132190585194 1.85243451045802 3989.59580982368 30051.9442721257 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.365951938661803 0.983066850185198 651.11317886006 6580.2805889858 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 35.9395791529518 13.4103101904727 36499440.4050302 3840881.38129831 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 345.56414679548 4.45057670843733 4230784972.92195 416425.219943932 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.2149186336603 169.85334730275 830698.433932662 1017272133.17696 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 215.025275662878 0.590396209509456 1623472731.57482 1311.39092369734 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.45899373195336 6.35268988909777 2071.64538616233 926.356781186253 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.1421050432614 2.13777529780656 971.429250159586 530.861415389573 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.03717521559312 1.09941986931468 447.158940273496 266.710136595996 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.641761179555501 0.677026511661972 330.975793716569 157.329314170544 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.36583582263954 5.07959196504223 5423.58542088186 9116.3019957357 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.29801871520813 1.63462189199521 285.05363029928 842.065288295392 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.726613534557097 0.894914911619248 181.880438976578 324.170111809669 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.499943090814337 0.546196552319204 105.791771830231 82.6557679719479 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.87832455453291 5.15201651172766 2729.33877360422 9190.75834195898 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.06674623382858 1.22188042716389 88.4771363833173 283.453884124417 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.559491136833865 0.715634721575621 53.6861608672706 222.349348148607 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.442565250901733 0.517580266117727 19.157162766833 58.5408827341799 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.9364907879247 15.6073292596694 19048.138779629 118235.581605133 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.0924727966678 6.15702179211043 8817.02710032014 71826.3141781481 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.77616514209302 3.76892514401193 5676.65438023311 51507.1644423918 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.78987944785443 2.49045262346912 4090.86492302413 26640.0578925972 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.5909520425642 26.4643607121155 177845.321958534 3741212.09806062 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.77422895871312 8.91303431076947 206486.285907067 700094.842487569 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.02277210722385 2.31053220964475 254817.854602637 9245.07478378802 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.9901637695608 1.43554912738865 134938.852764524 3308.3389962865 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 45.6634919056458 13.7099935398895 10475617.6375914 184728.801859968 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.19167298168603 16.1140201308698 678062.549213205 2674374.5190823 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.66141485734456 69.1620766204952 24932.6639965247 118612972.948385 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.17357947556248 8.5998070881023 218648.263719402 1071200.20545279 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 44.245452271932 44.0827040011642 98690.1990288536 86169.9565549263 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 17.4630880150009 17.5450147819101 26262.5181873606 39354.7756643751 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.0146098757559 10.7412192373169 13344.5555233496 30615.9265097009 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.06254109130772 7.89292271395358 10069.2399416735 26600.7257417118 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 55.063317495148 56.6768938227409 592068.978510129 859537.801340526 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 30.9584430930634 29.1148856431183 513419.199722132 482766.720363904 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.2464217970298 19.1256239267654 348898.283418667 234662.739463386 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 15.0054324505188 13.9900412484173 201047.117320725 226889.306411745 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 202.438905362903 214.032181114168 80960905.0378607 151610279.18663 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 108.324767145628 81.4467199738054 32320240.5324947 20901608.204383 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 53.2854623533575 37.9398013114994 14041553.7841263 2437451.4623488 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 28.8338005868742 28.1015594634426 1576579.09221928 1060396.25535771 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 67.216286728325 67.43618092319 98746.5850529177 88111.696004785 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 28.2435745522644 27.7544949503244 40232.2759372015 32080.8169753451 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 17.5444312632645 17.0645749934287 28491.994441003 22926.3564186012 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 13.1464124384394 12.6410513373752 24859.5562820973 19586.456671833 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 83.8258579679223 79.4246004434028 485328.058584187 360323.445008127 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 49.2698758117675 45.8755227054429 659229.374029706 300402.323462307 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 36.592193617506 36.1656548803934 364840.626206677 339112.745273376 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 25.6435265148882 30.7493365994067 198401.313452974 320435.999376172 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 460.010554979411 5280.72171613031 690413151.804891 795134630957.564 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 193.561973620748 154.44379921367 59734841.6997584 46348627.7111204 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 86.2428486884239 123.267018231421 15832497.8401943 73725070.867307 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 59.376560563912 88.2595506441767 4267488.34205353 27214451.5112905 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0348854339436713 0.115041482554135 0.00351345025631048 0.0972024197197681 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0111424780619867 0.0350682305516972 0.000333332864225355 0.00802291284793086 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00675023043052368 0.0207726781770096 0.000117351230200396 0.00241704203434623 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00578285164714979 0.0179091112744404 9.06643500871825E-05 0.00165123101161522 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0208966333704036 0.0816891403332362 0.00182237737764719 0.0334126270982097 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0124841981849458 0.0406388033388716 0.000662111211454641 0.00739759388658866 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0126926033014616 0.0374736769665213 0.000752964438248655 0.00658572892037394 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0152253474223323 0.0456154832371906 0.0011912241138183 0.010956996649935 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0203384234922166 0.0729255538957957 0.0043652400571256 0.0303160030149585 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00601260971316032 0.0222853724563018 0.000127506605278372 0.00218837789320029 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00435940820408974 0.0144935759248322 5.49957092474125E-05 0.000863672889729284 NURBSSource NURBSSource 29 292 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00540664406932833 0.0150289601106394 0.000124818768027199 0.00138355134347566 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.488370839705846 0.758778005357314 9.76609443626875 98.4707784232797 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137860998986685 0.241208899783363 4.67816803944742 1.40439500998105 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0636581954253064 0.117243608761883 1.27436369602112 0.197681945473377 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.037413060369583 0.0713725296674514 0.528931208253216 0.0676404989250842 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.321880687494629 0.544887394313047 31.6463712262915 45.6986521646867 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.100786098682453 0.183603781291782 3.99326841854771 6.85854113416612 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0568508469448982 0.100013576900044 2.25654998491927 0.245605983804287 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0411396387222248 0.0783932762057174 1.05752421946069 0.0613679886337785 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.326310574719183 0.514886094586476 8.73572351927611 6.38113980057412 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0647788886532198 0.135439110263177 0.540257868136676 0.413511544761694 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0328303410449085 0.0819105374575992 0.0466571824988134 1.3638914328606 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0274224722696231 0.06616014297169 0.0618928093545576 1.35244212498787 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.00599134448561 1.59830189205417 25694.1375314161 1807.21755413699 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.577064568496172 0.612281725556138 2417.37249578896 605.713025638364 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.307450858395534 0.352955381590611 953.361185003688 328.94099102524 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.234924501066587 0.223340711676142 776.943116454401 137.960915447606 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.48509258247597 2.39381540624941 1011109.79667648 71084.6585385715 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.92879719378024 1.71612145615601 86111.5039805334 34360.2924520305 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.05329692832383 0.992659088834885 25041.4110841007 11780.2467283543 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.609533831350513 0.592130590502422 7584.94632649061 3832.88294325539 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.75105165535162 7.6406346757561 85.2055901172951 887190.160441098 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.99321834898092 1.44954574437237 255085.472243595 41914.2891463195 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.8181406379485 1.42577922219438 756405.689718323 33562.7210595089 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.56350100968733 1.43433010661654 1032546.08339625 23714.7518559097 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.2753396258383 2.65233373564388 136.071896810339 197.88568211966 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.621787991126012 0.930487656488647 25.6097367412142 51.2576396177255 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.274033417152793 0.476993705183156 6.36004408705041 25.23089864419 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.152019603859007 0.290898476253108 1.78873540502373 14.4381749083239 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.4763662350102 1.92641840072188 231.345541075797 232.608890123471 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.4384373134349 0.655054664321003 35.1374318453557 48.759483190473 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.214810625935444 0.349877821575494 4.37343571292083 13.8420300703148 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.137458737465086 0.238283677222779 2.02638199608083 7.85050023690404 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.55172182216576 1.92882404514399 86.0014730567754 97.2890266022091 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.310416102236673 0.510357815491525 21.7395776180302 5.13665956432684 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.167997145953756 0.280319516370141 8.67995688071964 0.947447969689544 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.133968816880085 0.217363530600293 8.69452338392026 1.04113356981875 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.09049771157494 8.39446943987224 2836.81694179413 2429.71099532448 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.73932210841487 2.96969887586993 1973.75019206094 635.611881441645 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.41088914400239 1.59979711765138 1136.79994871805 378.778061628721 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.934429566683797 1.02350888575704 870.858107773636 259.304676008827 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 26.1757568049241 29.2341309240139 3136685.58258895 16060475.1408237 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.10846514585717 6.82475687347956 235307.272034686 580080.007009525 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.01451466145665 4.76972516790828 30941.1966542972 174927.136734934 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.56029048216676 2.77700073149452 4955.68843599492 45523.8452095259 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 24.8131875590926 42.0689612603218 3855584.84424558 32228970.3418071 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.82554294631946 50.938555766558 871040.85599072 44938732.1988411 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.77385705572129 10.6468511014561 168629.951541184 1150963.46009909 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.02403986823842 3.4533298969597 296429.510360004 94290.334941356 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.4656836663265 15.2469729775271 10347.8350086195 12170.7624807439 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.1281282371418 5.93119527670697 3868.19837035929 6498.16932936215 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.75948254039826 3.48521513556496 2219.13130909749 4210.86355519616 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.85571334523035 2.42347060918225 1467.65802868769 3040.20472186854 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 25.3218817922076 25.6728552706678 781424.764569282 849994.158421607 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.5611022388078 13.9074341365293 1324942.24186244 694048.279098822 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.7321134319265 6.77414921889869 226033.98224468 117878.999168028 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.36761975644928 3.66946992837824 50039.3927565107 25345.4229054917 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 251.814565811352 170.857139702582 1674757842.73695 358321932.894659 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 97.8272020885886 26.397589319193 241381906.320086 3884452.51808792 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 15.4259794455176 64.5713409613205 1415473.5926238 98727780.6700286 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.8209308977963 9.70686008524234 300051.98518658 216002.481245146 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.83132679488161 2.35503477094829 216.87633902536 274.64139080697 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.516449061570973 0.769316808180471 81.2925105276578 33.3396803254339 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.253548793852714 0.380023593897273 70.513042206643 8.84435886685581 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163447380167404 0.226735422340487 60.7545699325872 2.71011648713395 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45365324779918 1.75550413819799 1949.32571707075 854.666222238015 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.367142289894569 0.624154505417809 47.766823699502 175.510809698009 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.190058182977147 0.313394654726836 17.413507466355 27.5957295510856 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.125982838749488 0.201870197455479 9.45587805442841 4.44347421591441 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.37752747377963 1.61948930639065 158.802327641006 107.687309677408 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.241933919539716 0.478542410626581 3.66171105730153 32.0966620029215 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.121452674527504 0.301415279022815 1.03912228409858 24.2405131201827 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0910533500076115 0.243730832338193 0.628728202092068 30.7942985665804 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.72267240159761 5.93068571297287 13412.9534417811 35847.2302581686 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.70380088001981 2.07749332675712 8228.22310868531 5990.7676189952 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.892586443456737 1.09897173858911 2538.22822483917 2337.17850539056 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.619764585923618 0.764284233072257 1401.61352467821 2200.03245121562 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.01900920799745 5.07360309489833 214857.444512026 28813.1797939185 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.20689147702252 1.48335740661983 299642.071972045 1637.66669836209 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.52422853752645 0.712139399031606 15407.614934627 381.951026520639 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.957597954349527 0.487656002308768 3546.95401376533 200.597782206664 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.23509702009486 38.2332877251 39396.7998128391 22133672.124434 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.4308922785985 1.69523400728802 2868855.87471898 4947.35614742245 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.19159537625607 1.15219036308977 259215.715367394 3362.74308282752 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.01268473584959 0.7916163143727 52249.6289301805 1093.77923302076 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.49170113466068 13.3210073278955 2360.22523520056 551530.871713969 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.86460570042642 5.28847678705237 1659.34992170346 160645.992822493 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.58737256613171 2.67721353530245 2249.36367935822 36980.2968942622 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.1288378952564 1.54576192604293 2427.87253503314 9326.87789060535 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 17.0595932640875 18.1801243338658 656864.567991333 1652115.47516647 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 17.3872084626793 4.76413582294391 2786034.02957331 106508.142260445 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.2145923236661 2.14868797790224 484660.800434946 19533.1687522461 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.16398678189689 1.20187833163853 97527.8657969713 3778.39881216415 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 982.905044093016 35.7688902002492 32876127702.4082 11647210.1588662 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 39.58846050298 8.98141088781915 20171106.9243619 378352.595141888 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.64047243029707 2.96431750650183 525229.573119847 14716.0027993178 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.53037184419778 2.79854228058149 379914.643300567 35871.0214587817 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 27.6693465641899 29.1510428757403 34978.3008705604 26853.3461898642 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 11.1417567526468 11.4478040788071 38837.7063191674 10381.3890008305 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.80711850482132 6.80576985381496 42631.5749531864 6564.17148429383 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.08652793096552 4.79182741833018 40048.6229759663 4690.89832879263 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 46.3205960842436 39.6485325738672 884232.553919609 485658.252886553 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 31.217723593789 20.0631376090223 648730.956206782 292087.158949552 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.202512485295 15.7432500314469 292557.89403429 264228.31218803 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.4018274725983 9.59331887390221 112858.716681432 87602.6796597051 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 261.671717834656 150.244561392485 456936851.977914 49915530.6283124 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 129.111473452456 95.7014450717158 74978042.5160769 70906897.6074185 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 53.5519235244816 43.2046800483338 5522045.42806468 4906168.44823831 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 50.8429390445709 34.164836826715 18465659.3756046 2180271.96181046 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 42.8157284115921 44.383596846998 33767.0104604277 37291.3062990018 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 16.9805910950289 18.1537914066114 10479.4411914835 15939.3513015352 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 10.528686673807 11.1680427532762 7379.05487409567 10536.8516141542 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.95164243905502 8.09109150694214 6073.7170311267 8023.54005093885 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 65.8104117251066 51.2168784708585 539743.069294948 199082.676840919 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 40.160121355002 27.4215092287981 365963.67505826 212570.488888774 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 33.3642595116811 18.33251492975 282176.589690908 125202.962842186 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 25.3181417355986 15.2052517026394 174922.626510965 93270.4495658219 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 308.875866952971 267.243425041989 134922685.470636 217819456.598382 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 104.466490531123 240.014698852719 23550670.5245883 1070117398.18039 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 100.222668262418 315.675138504059 36099243.5276747 2185642851.95338 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 69.3045581277117 357.203894249981 4791128.12301512 3472225165.3262 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0329118079540354 0.0176140383002848 0.00328007274615935 0.0018476894457602 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0098986427412949 0.00613844217137589 0.000289815913667929 0.000185924900125 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00569715794337497 0.00448810737341532 0.000113884537559475 8.84466500589068E-05 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00491044345485813 0.00449726787350063 0.00012466347480685 9.02360144635785E-05 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0245219708138522 0.0132969620618266 0.00223087017547704 0.00068752373898677 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0132349243615886 0.0100489888538277 0.00072974860171352 0.000377582771601159 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0133364824735168 0.0119186501653689 0.00136086693283742 0.000850908686647731 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0191095142846045 0.0165429097800134 0.00369246218447261 0.00264301886814373 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0226086242598431 0.0117610484804348 0.00226157620540188 0.000717177367540203 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00681426368938991 0.00358231310518314 0.000179549278324961 5.2155381699074E-05 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00474459562397814 0.003026468838467 0.000161093933108051 9.65404711937547E-05 NURBSSource NURBSSource 29 293 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00556758551186369 0.00467420061942226 0.000844230121829541 0.000483091741205991 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.395350459724501 0.324978739057033 4.01079019802325 2.04190780612141 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130167067610887 0.0892784746078029 0.408313459844917 0.122247096678598 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.063957846155837 0.0400103582097165 0.0908856716572807 0.0194991515955737 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0385841004224741 0.0236799706523986 0.0273414803164188 0.00565013197428053 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.275290027042914 0.191759236005995 2.94386377521153 0.961861198415905 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0935301870647827 0.0586644761271913 0.340268801494319 0.0899142333943251 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0525811027813987 0.0334169730205888 0.083476048744962 0.0290757607343905 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0417570171334437 0.0279214039314972 0.0455360192082359 0.0150085249258264 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.284648126000936 0.229789730515381 1.795850064079 2.11975906720195 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0682961967788903 0.0449254771814906 0.0686974873887821 0.0551896756329329 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0379877532185997 0.0249959879033476 0.0164723796168514 0.0335578287124724 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0293808139631995 0.0224256637114122 0.011827229746479 0.0480490423999129 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.788583457625791 0.686379602432309 22.0979497174349 8.46887024133628 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.257442432824039 0.187844918796474 2.24470786415617 0.537791131304399 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126263413306768 0.0827236430338381 0.479630339712972 0.0875179831684095 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0759559765852455 0.0474380669709151 0.146322785332618 0.0250716187979898 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.536978560295614 0.413609157291573 13.9557127902537 6.12109058055144 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.181555027301029 0.122405431852013 1.68327084853954 0.520639410068795 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0983126683215829 0.06373354896594 0.403049524683631 0.149588600805033 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0703755168296899 0.0456909501900614 0.212051851006442 0.0660619894444782 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.563284402829009 0.495661529254948 8.45239773659501 9.40188553903485 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.134030755026886 0.0950394057829538 0.296185304539234 0.286821408299194 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0743528431131557 0.0509583342093161 0.0755126356583067 0.161148637365628 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0562490056326852 0.0440431447724282 0.0502529461589533 0.199342938409368 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.6568022794756 1.45762765278444 243.796650058664 42.8442807699215 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.53731145819924 0.404383547510713 31.0283190958677 2.97724406490315 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.263662097747064 0.176850238693186 8.20891647229278 0.50184829282365 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.158587307669629 0.10006680720892 2.85381956132776 0.148764576151192 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.0955551906236 0.958620393199514 106.243709892312 196.589292096648 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.36882910643167 0.280405586498695 13.413966497792 12.3775682852804 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.197067500477481 0.139326484049326 4.06140611335888 2.07163356925019 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.133541416125044 0.0915492939294428 1.49862852167449 0.743642839666824 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.17514887102208 1.09371467733411 103.858722514851 58.8115041693378 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.269237926737307 0.213163401567065 1.69030275100341 2.92966776328064 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.151101277141006 0.109790802107868 0.833684058914044 0.971055192403457 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.113029188741592 0.0912781770403035 0.361933810626976 0.813218535621667 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.94305760764832 4.92863558209935 792.243984671483 904.560844645542 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.6766032055495 1.61547961063913 234.087517575852 360.227567841266 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.901328168318094 0.84268897813561 163.088306324459 331.963441545384 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.591091947349867 0.559553259681252 126.907635782439 303.715229390186 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 18.4923221918658 29.9317871474559 7222322.01274214 13642545.6160282 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.87743107087056 16.2949343069126 6488.19197667311 3358783.56875897 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.79282063415127 8.0745627796926 628.911144928288 834374.677554904 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.472651581298006 2.69600878814527 108.833203671368 47261.9818395414 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.7166485386832 168.231935007204 7008924.15063265 613919411.330518 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.40157102927229 64.0050478300632 853905.092403083 70980136.9207229 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.65458576025138 58.3848347630299 11606.6404512393 91852211.8923776 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.695290999980049 42.8779030842995 421.106476875747 31383617.6407456 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.66474676325183 8.41852702591227 4871.49818540112 2464.93571739724 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.04523902587047 2.73969692522126 2541.8487526385 448.81113932638 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.70842594870098 1.38325418580058 2501.67623949543 253.284435602841 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.1808072633598 0.874677954871471 2256.64465933432 191.074700729614 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 27.4138354186548 14.3995224349004 3750735.27332538 559259.156699123 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.96456487407807 13.3647689661269 392829.318066687 1115594.37288048 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.04538447516641 7.57334103390486 125511.677785537 254084.337955323 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.53523289430376 4.99924062952684 29481.0486942127 103613.554822127 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 51.9932647861932 55.8532069060484 27305260.0456477 18106200.4617357 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.5090879757439 18.742771382594 4681390.46859416 2855017.93507779 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 21.2688787854777 13.7502080872133 4346056.23163862 1718238.00345972 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 19.8070415295067 13.559032505352 4711617.55734963 2396591.91254722 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.28170998575265 1.30821991302023 39.7753097989468 1011.87271514731 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.413268982193852 0.411530729953301 4.0910013558467 277.167950548181 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204035030953353 0.183125652650441 0.958533554848105 66.5535702599371 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.122327699106493 0.103813824823749 0.284724439202024 19.3565638617423 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.981581612593892 0.84897754889703 512.046328397772 618.366241294206 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.323544608619373 0.253696297662307 32.4049993996371 73.4035128617432 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.169530348341513 0.1343642535307 4.23416345078353 35.2008469363497 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111294393463096 0.0847795726581369 1.21802429830995 6.83895604246724 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.97320888267974 0.913794611443709 101.867161632236 214.591382171915 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.258868936419541 0.164427380781319 28.715511233055 0.735925587687922 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.134844521191581 0.0918362887833875 2.77571922914311 1.84695430508859 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.104386668173624 0.0700825917022434 0.856407545659568 0.479062973845174 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.88564912542766 2.4894915486367 1284.31023367305 193.792022935104 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.957631721380647 0.744943357220832 187.525367439365 39.9794970998954 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.504370391605336 0.352991182775367 108.676756724148 27.4866382512028 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.324300883464252 0.218290958653448 71.7351345736496 27.6927428410525 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.31546062687063 1.71952454785746 48666.8047707283 875.655665471056 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.20244394152848 0.53020025660701 6810.44569850336 99.1178752590453 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.606006555317036 0.254857735364615 1190.33484594024 21.6654540241947 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.352198497440313 0.165613055866327 267.983647918109 8.28152440828976 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.28467405087997 2.31249228858365 2107.47069552216 5035.13014584928 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.54953251987786 0.520510594736417 69.3009863580114 680.517114357496 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.328698608766068 0.287164654880495 55.9213390152676 236.746313478602 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.274800956504991 0.250119735486506 84.0927098365115 314.511437038294 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.71423519018545 5.24473612386551 2129.28650665203 1080.94197747858 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.91845219157972 1.67420800805745 417.240980776217 430.690108288826 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.03393325815112 0.82725478598168 227.767535336904 204.811296912985 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.686358864307674 0.52029473005457 151.534839767465 117.885055416872 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.06120745290339 9.78963230187945 101590.541453807 698911.193174253 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.21164866814602 4.28811453140103 55934.7441159872 220393.155767235 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.12747578299819 2.64244188369843 2629.77326012755 89865.682617148 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.536864157264733 1.95871676743713 79.5428716133795 41099.0538427243 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.9379963570155 11.3605933622179 2056858.15727647 1349818.90703953 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.57272284514921 1.4511858889869 863159.837118142 6047.72528013289 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.59687036204151 0.52263023794762 55435.8161801883 51.1034913254595 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.99034592506185 2.41701372738672 242412.23810134 135590.182629926 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 18.6700298548928 17.2507618008395 35092.2654597849 10659.4577368531 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.11051271447689 6.48867203186587 11042.3509558721 5231.72590952424 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.2775399278226 3.70730702726308 8839.05460784965 3523.26560434546 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.15466613017519 2.61916121899215 7877.39535339325 2558.2232091874 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 27.9986931867631 25.8418180448202 364049.500338592 514890.560906531 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.0116966096456 12.6447336523269 172922.887790173 190016.614400567 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 10.3379060763484 8.43598028436641 111790.00724391 117603.651960273 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.19673259678 6.36840219742424 89870.5693837166 105227.819122187 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 57.5843800736192 61.3459169421929 5868790.72306991 10810495.6976147 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 50.2497003657001 51.1411475001526 20008626.0458864 32877902.1757438 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 22.943858381839 16.2569792975154 3580129.73776607 1795247.63062547 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.9722278882731 9.07261784941354 236334.558874394 230815.749410236 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 27.8041240837752 28.3117042666988 16308.9260583573 20365.1815657948 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 10.5122237650053 10.832833637834 4627.05835487679 5387.22356915842 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.1554115667632 6.37405165508087 3101.15078166922 3596.15427198887 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.34801278868574 4.53919939401164 2415.0974736361 2680.33234965924 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 38.3666177756174 35.339521030301 289417.048753958 248742.776303425 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 21.8052806173489 19.0876587937751 154923.915990085 134800.288573366 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.0015844994186 12.315712123364 124495.632326855 86809.4329582409 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.0202256899 9.09958966299368 69586.2647677344 63474.1694920201 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 140.794043743373 217.624970104442 50918866.7073052 218683178.77936 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 33.1514811273925 108.206602782326 1429400.13722715 113323000.875803 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 28.7761535532377 20.296837326185 1805059.72867807 776328.22479267 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 23.6202242190572 18.0770530280648 1196002.2118898 390484.014864656 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0404672787495226 0.0255093262349946 0.0051711460746112 0.00499607296753013 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0123948030731459 0.00912726542138276 0.000445927158003306 0.00051244898673962 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00748946080009794 0.0070664836214797 0.000152640362809254 0.000290775631791794 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00672652556430695 0.00756141939985295 0.000150584786785809 0.000370890183444473 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0305434593301616 0.0204464866989225 0.00350609873054711 0.00220243640758291 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0173771160465447 0.01664147062238 0.00110626501305841 0.00144882274032269 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0182004310925012 0.0209252677970675 0.00453074694375002 0.00640710799828672 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0248312209843019 0.0290532622658635 0.00747204351732051 0.020511352670811 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0279841756879169 0.0175081363792733 0.00375255450633179 0.00215841254988161 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00839330962441411 0.0053855554485182 0.000276757077341967 0.000156527331966769 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00614913397907376 0.00481977253482269 0.00482398182456805 0.000161356184531399 NURBSSource NURBSSource 29 294 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0065018341583939 0.00800480426436685 0.00310934877360418 0.00114944082113707 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.445401348030945 0.377309700251682 4.55573497045991 2.13902807786591 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.142124353207993 0.107113804694066 0.240248030607757 0.160299302973343 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0692175094192859 0.0486252301466872 0.0489110809385339 0.0283673858406547 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0417603925878186 0.0291527313502625 0.0156269443483488 0.00816541524075044 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.297087428540872 0.24322836232984 1.09091910972172 2.1643932802651 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.100969208548835 0.0729706935586696 0.122035897777682 0.101795536297824 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0579003512014064 0.0442752166754832 0.0435648507667582 0.0261551808427234 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0469355077133718 0.0411123236042693 0.0239138479792097 0.0285510099943226 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.317167468117407 0.249214253348294 3.61599568582284 2.4099300033874 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0758901986670215 0.0514299174188163 0.0594508441301847 0.0523475215728789 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0429526445925855 0.0273650966548182 0.0210417576788277 0.00790494114855362 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0321529174035111 0.0233058720591669 0.0122785418832563 0.00687482307975948 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.889306151052693 0.792195258268226 26.1787548541377 9.23148024696272 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.284306172945047 0.223915660003677 2.31431445419602 0.692511379971109 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.138700038601132 0.0993514769743559 0.623920146100822 0.121264537874966 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0825728725965968 0.0569120769271727 0.162568654514224 0.0338860964341213 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.589972304811905 0.515420768823517 11.9945940834172 11.3276902962676 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.198202042627642 0.151024527389899 1.2312381634074 1.59447445158911 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.10760412083227 0.0799041524785554 0.266955308419501 0.287570829033898 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0766601228604037 0.0612478267612255 0.0855329096193001 0.107908512836214 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.637731870913614 0.529239787200583 19.6011308486815 8.74892093503991 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.150561015261891 0.110064601380352 0.529344361257377 0.38857213933124 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0836344959983999 0.0559903547944894 0.109084199037462 0.0728879449816311 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0619498212880642 0.0436638906881806 0.0840040097553837 0.0466920195399254 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.77482386729283 1.66988972884135 81.276135347508 43.8007298370749 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.558477484325842 0.478849751977766 6.79174475566227 3.76731795340027 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.270072164963456 0.21043305991101 1.38471539329208 0.690278699522292 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.160885329001453 0.118465663783964 0.429331607885633 0.199516432712285 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.16011465889112 1.0809069545446 29.9382105848627 36.627005629122 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.38878424088507 0.313021761458171 3.84497414744771 2.95061269978237 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.208173273988172 0.158044571233195 1.07153850353423 0.620886888061307 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.140046329476369 0.107586827737408 0.360368885140337 0.252071714359231 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.28401353744324 1.11975546110349 93.1081447059188 29.9135224331596 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.299410780335245 0.231683221413279 1.59325238345238 0.988399523644638 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.164319048901745 0.117914457344288 0.374668816811137 0.209454191187934 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.120751974377783 0.087554094293081 0.245130370186966 0.138087380668552 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.13074781211669 6.51562286819238 4735.30363393631 10532.7275487571 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.21563849886834 2.18163881607167 2338.87613907763 1736.16597278738 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.21973866647827 1.09620779861759 1200.93131891471 636.239380019576 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.817594082484584 0.716850790872106 693.359978979602 456.627634917945 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.77914062376075 14.7435213929642 470635.141081622 1305780.15512365 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.13270494049198 5.65099261720216 256941.658653995 264027.933249008 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.50665086167562 1.34644663147629 78127.2760027325 7405.8786219293 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.71230295294924 1.97662997061227 18967.5706314235 50815.9322369736 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.0115266517711 22.78950726172 523394.581572449 10052423.9935559 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.93721065471446 3.97151061311707 92860.9270186423 99090.6640210842 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 14.152894131702 1.22710141659105 2941844.56718451 11073.2247971143 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.47384436605225 0.996789851464384 31638.8573729962 4847.43328580214 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.1929925389505 10.2578521887619 64970.9414624259 13840.8819732995 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.95737447964133 3.75870904985561 44093.2738136457 7358.39316269471 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.20675704355861 2.17698377477599 40996.9994481938 6662.04844665989 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.47707947089077 1.53673450989395 37209.3993348747 4886.68790313233 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.8646327757608 18.6667367559957 114255.073688139 675088.810028947 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.87953093294993 6.71617989672093 176280.652364651 158948.246974662 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.46083647061904 4.2004569891326 117266.619701685 75834.8918930233 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.77078585851319 2.78162134735614 38449.4428131462 33907.9713272035 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.5499575057121 18.0282851878103 1012729.39785004 689680.740625257 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.88258382067561 13.6773523672329 436857.208444447 1623168.44131987 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 21.1500287252601 12.9539470790632 6585733.18414995 1800505.25980305 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.00862757646231 4.69186102079585 275468.220479853 200615.264220666 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.46465876069635 1.35512927444874 84.9404181902537 38.0607026664764 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.47129789915936 0.390606602372465 18.9018008630593 4.994605995282 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.234287562888774 0.178763303958702 7.88348690589732 3.65572443058936 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.145587610783738 0.10528538021369 6.57458029180018 3.15788154227092 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.4360322797061 1.39949329199906 7874.10925184469 10761.298045424 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.478630655821497 0.376801782328428 1029.26989566764 489.114442102943 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.301552456165696 0.163238761465687 646.588935116482 23.3128230387373 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.22468734102204 0.0958137625985648 331.631860808438 0.688443470547111 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.15632387875108 1.27452191058659 480.772606590146 4577.04951463777 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.265151140380895 0.408837475008829 3.70610108250516 1133.99504512868 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.142047381977136 0.261921181986167 0.657357462911177 502.323231637969 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0995565232281899 0.202682555849965 0.14250325976718 330.694329879863 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.93337584338103 2.88076941486807 212.689778037324 210.163492224742 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.928019700366427 0.855549126555201 53.1870469420554 27.5227417680345 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.468778017856786 0.38739846375824 39.7247368771204 9.3557649352141 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.291923933261343 0.217650892300787 31.1475464515017 3.34066221221067 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.09392054910399 2.0485567156492 685.982731734025 1061.127259707 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.678150702298006 0.587389176082279 54.3053228385807 27.3177279519376 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.377046892894249 0.290582529553015 28.4126238373155 5.23126058530274 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.25794659774773 0.187784603616386 20.9037197493206 2.0104738196944 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.23536364010249 2.05150403866504 363.180562657046 196.2898150444 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.538100243567555 0.453962763523992 14.5943266251479 13.2787547999048 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.285860465542699 0.231758047016136 2.6204962010347 8.96537346685235 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.204913213364356 0.195870181842947 1.40643659726452 26.1550750572903 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.25570086197385 6.49692047534322 14148.0871799353 3078.05457210278 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.81292806336666 2.2089871555069 7913.82326871366 866.043821125824 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.67329919190979 1.13345975030925 5079.19437884086 445.154876923388 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.17987046244999 0.703265789804879 3508.7455756479 234.985382143804 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 18.7220624219974 19.6735127041072 2455062.63930303 1504124.42535541 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.75353955232641 9.42842379050528 307365.625580679 415291.866195922 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.15506961013216 4.36068958554287 163436.40507698 106840.911251528 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.99892186299052 2.79080977889871 45986.4823108239 44949.2619801315 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 46.7266678759175 459.313949850651 33348097.87638 7131100628.11128 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18972.9217584288 32.9621077467533 12915658580089 26149687.3769797 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.30620491768728 11.7340896068078 205339.536506931 2789274.71114747 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.5961375216256 2.79314039429378 65112.9254835181 29659.8181639565 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 19.7364424582237 20.4952043236117 14804.0997774458 22801.4334779982 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.51704579035236 7.73867573709365 6013.24473789839 9795.41339742358 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.43451248744496 4.41686822732 4379.54317464503 6016.14176163437 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.19263346122071 3.09193383088608 3602.15195546462 4228.62542413143 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 35.3623502145376 31.8089422801674 657685.721147802 443597.503777856 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 16.8074485724989 20.0308948668233 340444.641738206 477155.859180733 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 10.3134431946137 17.7874099825131 243057.140989173 614285.722667196 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.92598611185274 12.746957014688 152567.82003051 356412.318345369 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 153.678051642508 108.073218135038 276850472.296421 63705041.8623988 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 64.331532972697 52.0250537841502 18070108.6667704 39478367.3271239 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 53.0134181232225 24.3552722086337 35065155.6744786 2410133.34562972 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 28.5932070129127 18.5304238369309 7136784.7188425 838275.078286555 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 31.0123384023565 30.8952917480935 17486.6448509191 16836.6691974576 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 12.2679941154443 12.1756240669619 7183.69566495349 6942.36904804933 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 7.44462165495969 7.26327524486514 5251.08287595872 5468.76409284411 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.43955554351342 5.23923079758846 4145.47414100733 4679.28412377023 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 43.2445938725115 42.2983327745725 247517.548476778 195182.74240767 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.2978586121452 24.6545312853185 321752.144108406 166218.035807325 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 19.344839795886 20.2329327653188 226841.70418665 178537.400744607 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 14.3306560324315 16.9214726809171 166890.61500093 170992.876903136 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 175.034231035395 185.83462347874 67942477.2228984 83020249.2942328 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 51.0481430135656 76.3531750496364 7482663.37822826 16860124.7490877 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 39.1205983003607 153.862785546523 2290208.92163152 311494158.974594 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 34.9641024310284 127.76454723377 3647116.31013402 327217203.365107 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0590972398846309 0.0244217282871216 0.00803712955590867 0.00374959721904105 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0172491452632257 0.0080228928980123 0.000687588012643506 0.000344090000960125 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00933646368384199 0.00538426653581775 0.000191459734698757 0.000129285800039134 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00733828119054583 0.00536582325625131 0.000141166606824912 0.000129900222979461 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0421289134844369 0.0158233675201046 0.00565471313747358 0.00105450992419206 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0207719523474435 0.0109955371168135 0.00132904653492505 0.000416810936468081 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0194526012049504 0.012909361067362 0.00160002653484874 0.000767710712741242 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0262394235563999 0.0190402147900138 0.00654196773660524 0.00310563936118111 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.038115916630312 0.0142831932281058 0.00561787577872634 0.00111873402818826 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0114148071572706 0.004285101461682 0.000441504904412524 7.6152839633852E-05 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0069408334597806 0.00308683380599147 0.000175128763655808 5.25249049463228E-05 NURBSSource NURBSSource 29 295 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00667894557020824 0.00404146728429334 0.0010012199069295 0.00018566881010814 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.535126783080775 0.398377013361746 7.42944325238819 14.2728022674356 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.176303710286035 0.107588503270826 0.636420033905796 2.50173917206425 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0874993345185574 0.0475753712449964 0.152235133367793 0.517571980623138 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0525428072663171 0.0273166956649741 0.0718722013854895 0.100571533039973 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.368290695550014 0.228986242107404 6.42171482377902 3.58819819410576 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.124652622833606 0.0698740583641531 0.425599190158463 0.757411054004642 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0683048141716842 0.0399706307475213 0.0535037182484158 0.29806874293418 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.05285787073357 0.0340133262293779 0.0226813704321173 0.1913681647192 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.35995728328128 0.252230821588228 1.65583682515285 3.09523719177852 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0982421426603823 0.0486292979247788 0.178009777037565 0.152648750288525 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0541544308173928 0.0249649972274166 0.123820287176629 0.0179156969968419 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0414895403164667 0.0199090829073405 0.0922089074091291 0.0247492487271389 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.03560385770266 0.869067201374365 26.919867112683 70.8752989861819 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.347979399548471 0.241033062242788 5.32221625155619 22.9383537425342 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.178386456561888 0.110809363358269 3.52409253814697 11.910939041029 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.109729133364627 0.064953749907017 2.70809571663082 5.74079940003807 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.747467499187296 0.52997508950183 145.486522985928 64.3954071748431 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.24812371943067 0.161092775773642 7.60839811007288 15.0247425356148 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.127940526031478 0.0859233868253375 0.357238726232645 5.43455786076821 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0882142574005742 0.0631384742702269 0.0868080059381534 3.52176401755216 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.701691271539076 0.580359283709212 8.9857481941831 25.984392223347 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196324325891325 0.109184426623759 1.99471250916115 1.82988152579188 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.111409551334365 0.0535687714821487 2.0075686641379 0.205017844109198 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0851444490849578 0.042753943510578 1.4399913095823 0.508186854219205 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.05021689621496 1.90401252923941 113.187218719389 380.795954899466 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.678782148380104 0.527799464213818 18.3256383130737 57.1729718406959 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.3493751232853 0.236031364132549 11.9621884853047 28.1112009540624 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219866871309101 0.142711740338168 11.9996028897028 21.8008807145934 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.25180015676702 1.7183877187014 26903.9591401338 8877.34769182473 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.69086394449552 0.56457844820299 1673.73200428713 1435.69588009899 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.293674396574344 0.272628648867557 88.6602871288682 308.519649204565 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.213043452952152 0.164937929206306 80.0647120938861 86.1907356073547 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.49737623832956 2.90302637101119 506.946714233254 89566.9013790372 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.68453674920919 0.242229714930129 1263.12207104106 7.34874333872816 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.324004215969364 0.126198456466093 294.272199764706 3.55317520677442 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.23254642307045 0.0932517860247271 81.6124517390058 1.804777298248 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.43527630157303 7.00724997237218 1525.94065782215 10808.8059399274 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.13601814657871 2.49214561195282 281.271798259757 5209.76961524681 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.12005990756167 1.34535281604285 150.458274109242 2171.54557717725 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.71942689498114 0.909298544077502 106.752102822048 1011.53763487056 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.7068448530094 11.8383516215712 459960.588605333 532108.284523226 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.22213577975644 5.54513838027292 31213.3552656386 226234.620332037 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.49307648152966 3.33296189013125 9661.44782126514 56200.5959631703 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.811206903865827 1.96463321572043 1755.16686638525 13439.0979001927 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.5583970288161 29.7426810759053 1341420.85319758 8224839.16007898 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.19443945130159 6.42456229448392 7272.79513456307 337535.104946219 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.49558863862598 3.44010290439606 22200.1683806273 158099.228476282 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.36062812529971 4.15990606123641 3478.02689386493 178852.147353719 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 11.2290545245462 10.5336574292101 6838.05871245154 3127.43877414119 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.09738625455191 3.61646861453077 3912.16193254451 1083.28147301581 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.37440213216854 2.07034169433414 3526.29432736641 2197.57092987621 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.57212074157343 1.44994384696108 2065.28059430748 2304.10640760418 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.2947204187899 18.2285554200104 307214.718288213 469428.625960232 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.3379071659072 6.58482570610732 534713.755265547 162898.854747296 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.25561793068077 5.02092551961007 371311.851148046 117839.199006466 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.89441696354862 3.5709638098385 109236.980618901 56538.0305707794 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 65.2286369888789 24.3493033370966 35480330.4657776 2271181.25423837 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 13.3489012895968 8.78202997194051 992502.456649031 583953.078838308 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.2917032768079 5.18177869795681 1319368.78799652 225246.712038898 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.43489536493388 2.25066386309003 587475.474220745 48086.356678432 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.85818353360731 1.83071947797925 905853.163548494 3461.11484706717 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.12898686241365 0.483430075965111 188385.706715034 293.458117125115 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.69888584866776 0.219739018757478 55305.5381784877 68.7395870687421 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.00436117565894 0.116620954631257 18360.6065586352 20.8683308184406 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 30.2273478940873 2.40955375727349 16436405.8566996 53617.9487059441 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.03679993323908 0.445259903197108 1362719.7588393 1523.14889153016 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.63942512569751 0.222189042536114 493072.066230403 370.68999110002 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.59807416679233 0.111453477928371 101591.82785943 30.2876225272611 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.58476381507032 6.08423514319263 1935.26123138596 693398.755293658 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.6026368510176 3.04667000286726 2142841.82964724 275999.492596733 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.48382446707423 0.866772565572483 593188.472148161 17461.8798356453 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 27.2221667368296 0.125336988978798 24221645.8688429 63.7943600813452 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.29774218825701 3.05332370911037 280.487710169068 224.414614346458 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.08462418166988 0.85051191900479 41.3464602728565 23.5939119431226 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.537434731830406 0.369926856576519 10.2269057599926 7.50033519472666 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.325126536748656 0.205130644843602 3.7507113766573 3.17500674557225 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.17458231758698 2.06867518251183 133.492263085928 907.550644043613 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.723899868516337 0.585817563576652 11.6047696531272 40.7407619122586 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.386341830417254 0.297931467172176 2.87825047065224 15.1396666312395 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.256238577499309 0.197261053633802 1.41858699400119 9.23237890851613 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.36522545709133 2.06006640907244 230.229160133078 175.965676830934 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.5814699408361 0.388965263032775 7.9548588882708 4.03832037823181 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.330359192189014 0.199525038732224 4.6173176982971 1.78452377971606 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.257892531823248 0.15000066355099 2.77269617684982 1.00320664493149 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.39447358170494 7.00519640404981 31044.085445894 2928.18695334622 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.90402990439344 2.44908389674287 4496.72139988983 2056.07535602185 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.37825675229665 1.28528713597564 909.849492405095 1302.52975053709 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.868263482970429 0.836042720376834 491.068748993897 792.1445130534 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.6545316206285 14.1437168600008 2168946.47180392 705658.675053337 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.891515469822 8.6987335541056 286708.941064703 856971.940610651 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.46626798555562 3.74083743466439 95490.8230455118 97675.0873742546 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.76901868623263 1.73858574792183 18282.6187239617 15971.918986547 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.2564792770456 43.2923114584064 528544.605873585 36955356.7675504 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 31.1120027729643 46.0295974928795 31674688.0770702 63775173.5312431 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.1462670909733 8.74230422829502 4716003.3432099 1986043.2674152 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.73353628402112 4.10879033149204 36367.7272435599 180101.849635868 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 23.1756466434231 23.6853807527395 24449.1586402425 50194.2891496445 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.06258785147526 10.0178773731582 12057.2173003585 39916.1281324146 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.40795671087781 6.48939207123378 8418.11677778517 36733.6179862348 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.93829002753991 5.0948823966441 7338.96015883609 39846.9778300536 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 30.7975472247127 37.2915944577316 270543.823515855 849325.404154053 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.704772512749 19.7325879237738 162122.637814767 342171.467262906 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 12.1838220529479 14.3254707875704 193173.475368017 277412.990635768 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.96653583034468 11.7319055302117 94133.2762440686 204192.937892642 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 54.4674093384801 189.964891471867 4007379.65780773 166639445.781903 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 31.5694899369767 38.9324010626678 3682320.43100015 5252583.23870161 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 17.9910454098805 36.4084034089239 634399.412081679 5963300.47475354 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 19.1671813071152 13.7915702876408 2923061.01527682 401584.209588929 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 36.4469543137256 35.2502318473641 43412.1255739721 26922.6933024953 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 14.8563524674329 13.9691657781083 22587.068631712 13706.4612006273 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.58395511488546 8.43187984664452 23104.9738163463 10746.5430472123 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.18361508464204 5.99364161639984 20128.8570450257 5624.77666070126 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 46.7996093879441 48.314704685236 310951.113485903 310297.719059385 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 23.2279994536832 27.2567039153502 173987.445317648 195971.700532766 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 19.5691604984423 20.4927498642363 204258.895572271 162366.652722944 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.0060829901121 15.4201403414933 220729.273986152 117561.469367966 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 138.35598763795 341.931474855545 24422102.5766354 742999200.523904 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 78.1299967990699 87.3090251188735 9610853.26790084 21298674.8956944 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 100.647152821423 350.931373023925 37775754.5587631 2885214918.25889 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 28.0543158558202 44.8937219714654 1431840.48340875 7161570.14242449 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.054380265193235 0.0418644849698566 0.00813921321770938 0.0107019840120433 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.016096731495786 0.0127189836766287 0.000674980974532623 0.000894192547959708 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00923650686633297 0.00786045407985569 0.000192160858220891 0.000331870937547678 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00779091018766753 0.0073691689508815 0.000130993074844328 0.000323585135155688 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0412889712597222 0.030978591017498 0.0060831359261918 0.00387109062300873 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0195969843878219 0.0160746346585996 0.00126015739405269 0.00097114697466586 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.01803189812309 0.0162745281131057 0.00118539221613247 0.00130661032561446 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0237243885732584 0.022747255604769 0.00346730583186552 0.00389964473962773 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0400209549396522 0.0303251530455481 0.00887504029470248 0.00494255624193254 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0120510669128756 0.00896406525685503 0.000512934939999372 0.000333562663263784 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00717287615046765 0.00570232712267311 0.000175282045713973 0.000179171414526112 NURBSSource NURBSSource 29 296 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00654487740221247 0.00583094605596458 0.00028062455610551 0.000381736517858755 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.955321267535923 0.673521616280761 6459.76254357822 1181.1621254591 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.407137881771392 0.341774979023035 2058.0137416611 1427.31619836784 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.265587945388329 0.238961377853642 1220.40982719261 1059.35089871029 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.198375459303812 0.163277486471818 799.67391201623 543.60240208972 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06485869875712 0.821306665676917 17939.1837378527 9577.32591489815 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.407808581639049 0.0955361034001446 2404.93807855103 0.112937104915711 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.286546057349797 0.0529688755292148 1055.06890228928 0.0302784507901584 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.214783703656489 0.0425452806708224 499.345937078355 0.0132486078589148 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.46900751022447 0.374888978232685 22485.3384474851 35.7013999845107 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110796410372208 0.421457705123415 7.43997165513287 2040.53142905389 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0523712943753136 0.241022739471659 0.496142233241161 690.986779214085 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0376098844002151 0.19479139482773 0.0189157735368737 484.750063829117 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.05763316200688 1.01526013447902 14.8259818367261 13.3989141426242 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.332594152373666 0.291279319147645 1.08085345574417 0.988244685802267 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.161025796955377 0.135384757839728 0.201837089470009 0.211857365506909 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0961774569679218 0.0796039855736224 0.0675482256503015 0.0590828502432753 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.713183325067435 0.632800447196426 6.73702449434503 5.67663045248873 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.234962806958439 0.191293803796643 0.787463638427247 0.519684686531674 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.126417895032184 0.100632385265528 0.237580984952666 0.13458024846926 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0883779201683008 0.0710116027670187 0.103774846005472 0.04528945577477 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.731173678714163 0.684684365535901 9.43866856737239 9.89840108485734 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.174941676148044 0.148506566049112 0.278188547075544 0.280504276717514 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0950422272966222 0.078615130280749 0.0703481232269413 0.0689271705977274 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0734912572504477 0.0606532476952167 0.0692413029116349 0.0801116267195449 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.14365146933873 2.16878472262195 69.6254686584256 182.78462474614 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.668096482452387 0.622441509313857 5.51669684564693 17.7869017756125 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.321798297712279 0.284588914628828 1.01010564540078 3.00347700773439 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.19233822496843 0.165089244790568 0.33015987810172 0.998937054385548 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.44584199206339 1.34456945285386 52.5973075440066 50.7283383195485 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.476096359349315 0.397315988146621 6.04574323227366 2.9355284630424 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.252330927756965 0.205578960586457 1.78084850718385 0.833880770944884 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.168710720569865 0.135863117231502 0.691439917402946 0.257901352866357 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.47687584159424 1.52404885260971 34.7533906972651 175.072006505499 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.353850529435459 0.310527712415318 2.12033356238069 1.86589440608182 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.193111889212674 0.161347829824524 0.795450059052734 0.306003163479698 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.152127365291356 0.122900977950004 0.666733632022415 0.394499578182542 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.9293104891475 13.5890617833575 1425.33102988417 1219009.48204408 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.44601555580223 7.31517389478351 1771.8437611482 759775.133879918 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.38540768488045 5.5264931169896 2219.01099752598 578166.650125373 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.976354390408214 4.53387935234786 2492.68202407429 437497.172856891 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.8842374573222 17.3060546929463 905702.930571419 4068274.12637087 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.42559874989239 11.2626863504345 425592.659427283 3069360.13304052 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.30461005704818 8.38167375539792 78160.7784547596 1111551.47840758 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.49382685975538 1.83583352962826 32307.5819268421 28809.7367440914 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 33.1707222044288 51.4851150659826 20797860.1375747 73727597.8353262 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.8263888505434 25.9785400691834 39341.5109116918 21739986.9924088 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 29.0070764485174 0.673892956131174 27742433.2211856 180.146796942919 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.791262483315529 1.7365501795453 912.623376117815 40526.1391692007 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.068426119031 12.3174171008164 4328.19875977926 5202.63699464145 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.99929296756998 4.01984225798083 1018.62406594659 1876.63922383296 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.12012536372806 2.06111679306352 666.002807868869 1052.18118969834 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.38773203640323 1.30733451741884 485.225568460223 586.531160398306 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.2264700488378 15.4488544940282 181253.520298497 303765.137918461 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.63713781138366 16.0239547453908 32521.9711078885 1759054.49664531 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.14502683428476 11.6255359516482 2921.15810594925 1218932.97597196 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.84976149815788 3.38465791645544 9488.82387318307 73143.2725176787 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 252.661152267422 23.1209066606935 1929297509.71553 3971365.81617158 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 26.2709853465216 11.2921060910717 15719824.7187554 1660047.13665699 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.54381491721668 8.45435747363923 68749.0123785738 950450.772607154 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 11.2766613893691 4.6732671909097 1488619.89165328 241202.913990773 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.79014905340533 1.64515386459535 145.413149853877 55.2409157386751 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.575126925792625 0.478306571797173 39.2688447696602 9.51112752687543 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.284123244684645 0.222894112994197 16.9036274267054 2.44650870271301 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.171574672276042 0.13119465606185 6.6663012102669 0.974568028513194 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.22532927887165 1.11137325189822 133.755636389729 147.558190281982 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.377249212317816 0.348408669270561 2.74093572489813 19.6304788221408 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.200623355283883 0.182675297455568 0.618553034138124 6.83707376370371 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.137236535084783 0.122876975748331 0.292312553893763 2.57383529224927 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.36159176647439 1.18370386373483 464.319366417078 112.741641915869 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.309175827833891 0.255478196645603 8.15564624342893 2.32812238716579 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.158718737521164 0.13410977385004 0.543431172493823 0.96445084887583 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.118499787529761 0.105945476774985 0.226392711930024 0.339399309451905 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.57672556689454 3.3935562781623 313.03252357739 120.828601327727 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.18187538540447 0.989947961766257 169.486432726861 16.1540371894911 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.581472219450884 0.459993347197386 68.4676847743578 6.88964694384277 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360939965642385 0.272995734323661 45.6067988001271 6.68167910531815 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.97404215595959 2.97221881823012 2057176.33577199 19561.8935290414 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.866589402053674 1.33194750503755 413.612343090944 14979.9183950472 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.406618401843925 1.50530860285899 4.78588449217069 24640.3857744996 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.2741278580555 1.16289059716077 2.35412857254995 16685.1297613033 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.99084435287196 3.42544358533445 56279.7528560814 40158.4588934671 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.34136239977392 0.54267966711323 56095.7129720372 16.0153711073526 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.896734848725547 0.330109929436456 8097.80527514952 70.78353075625 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.81631047906612 0.234808542465288 162094.996545929 5.09169620006409 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.96098019245905 7.58795575979084 5345.4106539 3343.5969130522 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.6933901147366 2.42890106417549 1489.95940845201 1127.43216024375 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.45646206677059 1.27214096013829 944.249099897423 715.520857280661 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.96752426072491 0.803576698151858 665.668072055187 393.90247430265 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 22.3221335553841 14.9820819257835 3571383.43867658 3435333.70980598 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.7108851620518 8.77798387141343 558256.031210608 1388096.38319586 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.08292523442131 3.72850337968815 883.812603133545 116098.989958126 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.663446419753178 3.14600573335785 93.009347863445 107717.726888101 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2028.93347182025 16.7555751502101 118214440123.33 1942633.44497622 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.61178787293711 127.417612815089 1605.33753236033 338860965.000469 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.00002534372011 129.785697643854 107476.501537158 458402109.041225 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 18.8673536155453 2.24910379539596 11892588.1082661 55489.7876854129 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 24.7411076104665 24.2885207682863 31365.4270311891 15939.7521903509 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.07089596942136 8.56289081026234 12815.1444293422 5040.4714457443 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.16541853256378 4.78520591251184 7299.58638502902 3223.86728508649 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.63132324043571 3.23586932233136 5455.4725813549 2602.15226394024 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 48.1765645059551 31.2245118925819 1485527.03813155 514486.695895274 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 26.1836846789563 21.8874234243956 828820.163884632 869433.054156903 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.6487289625082 12.8326495024215 531410.653032671 355938.083355879 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.7272403733519 12.1060508083583 298913.61981018 386543.86411317 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 143.611375211695 109.184215291365 82620579.9044812 67810488.0311622 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 69.3084774222931 42.7170692659928 45386600.8033112 16412423.2823967 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 34.0608684845453 85.598310395572 9370280.9243558 111761195.073385 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 25.1354874044963 21.0501794459199 4732476.2769178 1327988.97063341 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 41.9582761298323 44.1767353941448 41393.2622081655 154987.96025847 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 16.4003832606559 18.6105178747692 14404.0746174317 84335.49637618 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.91700614715696 12.2045920523446 10672.8709222019 68235.8807534398 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.23671296520533 9.26951489390939 9141.98492050502 51442.8929988961 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 63.2953421752491 55.5707617222385 739349.870761715 436658.934989653 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 40.1287800486177 31.5940750640237 714916.752332826 343767.316770446 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 28.9586799284269 23.7862936872126 482320.491678575 312582.293942935 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 21.1319192967816 17.9799107286851 269130.04799142 249803.132583941 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 171.521309636187 352.634782546709 24945340.9329907 998997497.687312 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 91.4627423420888 156.251018063164 18338014.2962017 177855961.559649 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 46.0128790702535 107.615295970725 4983294.0212754 47007173.4977722 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 52.7747193383186 85.6800928263564 6028547.3220018 95564508.9194953 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0245619874632828 0.113133644611558 0.00171825241830717 0.0768152843228358 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00750466150035838 0.0327610212867815 0.00015095159172864 0.00602342425381853 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00407293518953224 0.0172468300533501 3.89700163031537E-05 0.00147744054043449 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00326269622614177 0.0131795489865668 2.97380491918804E-05 0.000832011595786343 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.012055029553988 0.0772694500099153 0.000648123092622053 0.0247749874748195 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00605036095833836 0.0349690928043908 0.000134793677930067 0.00475349600796374 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00572485125338038 0.0294152161657892 0.000141388865505566 0.00372566424785921 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00761810077908027 0.03608322000854 0.000651534575308396 0.00804039281021357 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.012551725403607 0.0697506076227128 0.00114839758970496 0.0224214905832337 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00355640690175392 0.0211270373063427 4.91708498398717E-05 0.00157731940832323 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00236983312822699 0.0129613862126297 5.06275547227599E-05 0.000727231455694089 NURBSSource NURBSSource 29 297 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00362921222525125 0.0128715290321177 0.0014282853529974 0.00212328439859964 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.514258388973547 0.810379464180638 55.6960836515954 17.079979226158 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.129357471910792 0.287292816427573 10.5775718093606 2.59696820376341 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0564456424663867 0.14122561407988 3.77696491277963 0.25320417711073 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0346698697124105 0.085956848687988 2.02538314046625 0.0698105637386947 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.281341913308209 0.615160417372245 29.8427808712151 76.5185301426858 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0726132768736152 0.21673944180107 3.67057097119128 9.6478995051528 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0366892066394324 0.116410912033629 1.07020810564429 1.68953505071805 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0269854523841902 0.0843821410356789 0.53974158730867 0.277795001778698 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.280202321900305 0.598394348528997 4.87111830600848 8.97819876958938 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0489798098239118 0.154672418673437 0.381075606811711 0.430259677613732 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.02434831116333 0.0911498089463543 0.0944612255454531 0.49616362367552 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0198131040906774 0.0683777990692545 0.0341595254499361 0.305642109420816 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14964408177496 1.51879370345831 181.642269468259 63.2074529076105 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.321896163905518 0.549379810144659 102.007297198948 10.2984547738353 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.134311109438428 0.280449063983705 30.7535939093072 4.25392510268681 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0769559488093926 0.176952339104343 13.7370479722434 4.97595192030626 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.607609932292193 4.58066157692662 22.7165456614106 370123.885690894 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.14572510279789 2.89779738877938 1.19618576582517 114786.705960269 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.069111026414108 1.31434972799014 0.281808573052652 22116.674354057 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0462593243112845 0.697669102708406 0.254689337931991 5558.56296775055 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.20341581082565 11.8505805018866 736628.040180716 4100565.82466941 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.1663099494389 3.76055855928677 6832712.3814897 423944.563833524 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0875173186848327 3.85192754911473 28.5254371935957 318847.123705273 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0497408920220039 0.834342710603257 0.955320163492447 11839.6558315442 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.41191947957625 2.93539779241535 371.421208440249 255.04698470708 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.624405516117015 1.03258407738763 51.2689551278912 23.0609389459784 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.254565332290285 0.535471397627797 13.6575690488142 8.83097537028422 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.141196528886159 0.337050975326816 5.60463969167891 5.83896977477772 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47353344418576 2.12881608320102 242.12418639378 485.058397445142 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.361849369316718 0.754473143417109 12.0775486037648 65.8926695019239 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.166256667877396 0.416957760661971 1.8818010250421 24.0006439412278 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.105685216193546 0.289732998648097 1.56162331743327 14.3333671723641 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.51145975891657 2.44253671946237 83.0790965658358 2135.07068463861 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.287502945278198 0.54890249563249 10.6574604236705 5.36814581301417 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.132859407746071 0.327538328538677 3.08141406140664 1.98144205002154 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.118418259915246 0.243794475373738 7.20048613659084 1.58665749236936 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.27921241382692 9.05525502080075 3255.48081920853 4017.82041900922 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.61688054599816 3.28977174121918 806.321258045278 1472.08479830935 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.21412592567933 1.79525054920447 283.899150845212 820.533881881642 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.732976408113684 1.29797777556874 181.032308309939 990.309058780603 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.3624929346805 22.9053988225197 271958.817071947 5731827.9411597 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.08824911126653 15.5619214164056 2068.65472429419 4357653.54360878 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.981081443687645 6.49489049051552 373.882847592459 483791.490148066 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.606655115902223 3.96422506675271 135.103072360521 147354.795486561 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.3206292763375 375.607001456914 24892.5554987596 4770711986.783 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.91431854995934 73.5417234070537 93308.1296977862 183698926.100084 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 23.2545047050705 12.2806662674828 16515811.8693743 4396036.15944285 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.44158152840885 5.62446400123899 8824.30263276556 694556.304250244 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.6967925366456 15.8144269314376 11976.7100509063 25919.6176140056 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.85130755554372 5.80833296085414 2731.15580420168 6323.94216392096 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.36055607017732 3.16534644191289 1033.28544078711 2512.03690505568 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.49469089720722 2.07323988586738 654.441483487993 1509.84091332501 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 28.2047244928892 18.5042202087155 985886.690927963 490362.39151258 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 13.0739555442494 6.52747617816208 462350.889275488 73848.0553097748 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.13809003635049 5.44983753265909 173026.749018767 66379.6388641736 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.00708580882625 3.96584712420738 67816.0892070961 39144.5918345919 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 280.68726926349 97.0553255285502 1768524301.03913 79741519.9938638 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 39.4931928143238 21.3151711065481 21604451.5374369 4658621.82406565 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.39904646259235 6.73248570946522 286237.498966652 140016.772167765 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 15.6845337901906 6.63807539694276 1265812.30001243 168716.524640471 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.79171574444966 2.40726708839793 81.9989804573751 1229.91115430008 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.425770496459002 0.908090633015004 4.25114379890945 532.633488414886 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165810848462061 0.487401243662121 0.772277149962874 258.406872941956 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0915854806254911 0.309361464761089 0.53192748586273 128.610446960056 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.05868375271717 1.65033017989376 221.855650594886 94.6044723743666 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.280726868171977 0.57653466810993 34.1204456113549 7.3685618387227 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.137217185161696 0.309918659301445 12.869353144517 1.01093645024557 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0971128049072873 0.210214535678717 11.0758839165516 0.410878341969622 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.23210167141287 1.69039448362979 715.71256516223 118.591447850534 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.20094505933327 0.446261482862475 13.6320912979601 4.31542424965031 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0852958755853203 0.270183307404933 0.26899686299835 5.91113399220625 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0691932160547641 0.206510661647733 1.04102708193876 3.961050729196 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.45795172779782 4.46824205801473 8612.82898038744 695.710325661301 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.15715700650708 1.62561689636954 437.44574389384 433.017732349137 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.435967317069265 0.893443058091105 20.5901423497631 385.240947900959 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.236066996264833 0.639037628543065 15.3956919841433 413.939782274458 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.45476725971228 3.56267026273115 437.911520276642 2628.0576602267 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.643086388200213 1.33546080336251 28.6878240085177 1020.42548599642 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.316587171811524 0.775549803280222 13.4006356920622 735.415342464461 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.21942187548946 0.551392026800765 30.7132158494003 509.250312927505 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.90843730602475 3.79802208332744 2079.50616965623 9383.44620445432 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.645926305407092 0.840184602703753 947.294592364545 9.64364431625063 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.402278153634984 0.512868091841188 983.199440184113 8.32157593156217 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.343975194514563 0.399294831674103 901.95570780558 13.8188036129073 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.01435436031164 9.62816927702244 3684.61595358821 6964.57654879088 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.93608674243375 3.54449067414915 1568.07800253313 2029.99501142625 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.48253765063699 1.9209972857018 980.058685313676 909.616574011449 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.953597633089464 1.27923991277967 672.812466407647 632.391946572357 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 44.4627826497952 11.82932610273 10961331.6031893 308485.198997144 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 24.1524644042317 12.8934505450226 4085877.69039652 3299498.16404079 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.1236689465704 7.86350060145154 2040240.22932366 1224932.28267815 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.78416309208963 4.25190854598116 401640.154642933 214014.462049289 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 149.903985842683 207.953921373089 663359587.586867 1281290622.10069 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11185.1523213461 16.0130217791302 4419539251658.7 2648842.29769386 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 57.7667152266102 20.9993560277457 70414422.0354003 10897433.46307 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 211.285292770687 3.84492354771375 1317877321.72639 194223.177307415 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 30.0181189875374 30.5763084988239 33678.1476586068 55172.7185770069 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 11.8906792269009 11.4994726188338 28889.553441525 12873.7289393912 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.796622124412 6.38578361511998 12693.9475714588 5405.70787354895 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.62345643449499 4.33121138288259 4509.52833824545 2612.47183346074 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 45.0654264199725 46.0850447970691 538839.799632451 1587533.78873443 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 27.856668219221 19.849238397652 518613.961290411 397163.670867844 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.9502586112897 14.3389926828931 543459.902663777 236350.407432846 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 14.7497757547465 9.1088405403638 172311.613725153 102784.823312706 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 312.308364031113 251.028523530555 1281968009.53857 259478454.853202 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 62.7836533871003 58.639242361595 14310056.8029942 22400839.793952 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 38.3073378288451 52.5548207639027 3003286.90358583 27449992.7479099 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 22.2123527517851 33.7904518370531 1143325.54298269 3685701.07429319 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 47.8011494102845 48.7621058655789 79440.7667693076 131842.486982395 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 19.933342393194 19.2434374280195 33291.0788786764 18089.8509392213 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 12.4129128429069 11.9803602306992 19960.1090633388 13389.4769388703 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 9.27297955508774 8.98447638792368 14433.0294482035 11439.5175113427 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 63.7452911055811 59.4687062459443 421957.283942401 287623.022445481 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 39.8037746715113 30.2391730071612 316230.204438593 156982.363901707 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 33.7822976633288 21.8541019126648 345311.70085145 153772.869669089 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 25.9282950345759 18.6510573040986 239665.695785136 124140.475132473 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 270.841601409653 611.551272074046 82260640.8499292 3985268212.18303 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 125.675483773328 202.575951042044 84335304.319168 148571187.313579 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 500.459970235311 40.4153171467616 5508116472.55639 1152615.22472415 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 62.1955827674028 79.0533151844083 15365001.2844421 13253446.8858113 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0394131911306518 0.211864724883837 0.00698413165733879 0.343585130244163 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0122479552478037 0.0618925701548047 0.000722565092705849 0.0302346175644274 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00661167015077452 0.0308299194959166 0.000235378588638279 0.00704011268648758 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00532993643311339 0.0210748247054873 0.000206919378742447 0.00301434386769338 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0180702648100405 0.127305015944911 0.00259936055881206 0.0927317705076887 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00833688274840414 0.0528291422779511 0.000502847225484321 0.0156208304150026 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00771041785870624 0.0393605100109515 0.000436512707367343 0.00984228694745096 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0098632199835356 0.0449181638989853 0.000928946633292453 0.0179669308632034 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0197990842746205 0.116833263425374 0.0084177983724552 0.0798531906059749 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00565240355617167 0.0357531629056783 0.000259846194258263 0.00616967687615115 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00376855653183751 0.0209617471030263 0.000282881548003666 0.0020231947461726 NURBSSource NURBSSource 29 298 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00469746601382178 0.017272747291185 0.00116410816558396 0.00166807905668122 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.616109864030854 1.06734625365492 10.441962185804 9.81449499373068 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.152664579022451 0.377938121271658 0.976994533451246 1.07649703117117 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0641052290304539 0.190799520501664 0.172843292735956 0.251483592878276 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0372634485358657 0.116437947023993 0.11278332671284 0.0882447619662168 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.33010979063645 0.775986840875468 3.78697002892163 5.32985980577594 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0810991830095452 0.276735366475532 0.221616915760912 0.742241106444861 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0400228497338942 0.154293116378407 0.0495581151479602 0.209415177536193 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0289578622179584 0.115295935142102 0.0428731907444525 0.120534396313128 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.363267199871007 0.797820312785507 6.21680794012246 5.93253159750909 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0556304657533686 0.211614412738916 0.10132240612558 0.398146948444543 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0305971286466472 0.120968940624084 0.0224977601156882 0.167470654537323 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0272722874225991 0.0925529306081928 0.033159258965216 0.206209530852022 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40130957110984 1.97707469244554 49.1453399655339 46.8843149111461 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.354274617990776 0.712505768689886 7.66058341440238 5.69232817955936 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.150222460544793 0.364265619785011 5.30662113515884 1.09058497330516 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0886325433297179 0.223306148387589 5.39719063803406 0.368246692725427 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.792019349974862 1.43562671891793 25.7619687994005 35.1224103478126 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.192365945013493 0.522292440099838 1.54527942235004 6.66319090900803 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0913039592268872 0.282695906406237 0.443700982370801 0.747914806348833 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0716620257803186 0.200317562921085 3.98353111058507 0.408258738281181 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.878565491004605 1.51297659888356 40.5763329421326 70.5533570400452 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.12901424621083 0.418735454435631 0.651022048407311 12.8477747429227 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0674378116141519 0.252486443871081 0.169595883637627 10.5069660197236 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0575558817628947 0.199218641621073 0.186867945987893 13.4929857501404 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.3573734131339 3.96644304519313 989.982085313495 647.93406441364 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.900355593952827 1.45978118028927 195.814968210553 170.99485930404 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.418051092611503 0.768393589161471 157.023020567789 49.1977300007698 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.24616892751899 0.481692494210738 96.7090782648862 20.1512631029043 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 28.0159503231418 2.78178267010911 12853764.8746836 506.981923142322 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 16.3558237694471 1.00336512854839 4880240.80686464 73.069255745877 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.62241117747626 0.555132580279597 1266150.91985675 18.8417537586168 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.7621305868389 0.384766599910356 233889.662894219 6.689741418614 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 58.9277055875142 2.85273896998396 57094857.4594568 199.834390662796 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.9658518278605 5.18444784313569 18098012.425283 691583.734948457 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.180736496395456 9.56649206170339 5.95552848588252 1513738.79160066 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.79364574377054 0.340042031316478 403955.788822766 1.34801187261957 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.5114627239396 12.0894108381395 33717.8125227882 3956.23585022318 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.65152948225326 4.34261704721678 16464.0059429855 966.28488822807 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.45663484715837 2.34153335303296 10711.7560574229 442.158705979086 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.66833815277096 1.53836101392966 7547.63022820573 308.206954913763 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 22.5178625226998 18.3493120484787 2373556.56434265 843493.270066548 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.65909637229802 15.0903328662413 39592.9863940397 1966947.90906175 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.52874397178844 9.64227572431731 14866.2813640738 986439.900041575 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.6515423806929 4.02452402996878 4857.33882852923 79915.3804287443 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 535.271428774159 89.4694804621599 8755165455.92734 204804088.527895 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 177.676172484756 94.5528420110232 1053382384.72746 282138446.455416 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.55356055357817 6.44026863493982 1111551.0515031 311328.127766032 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.0228379814847 5.73447319142976 13330.5560307315 249927.261664782 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 25.1092399551694 22.0405065582518 143970.957616881 37084.5727442915 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 10.4318108338121 7.64008660938299 103637.610394424 4967.93701091752 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.07332243874313 4.27120159928035 57297.201588685 2760.2628016742 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.22099349586214 3.10805525320839 34237.2983077417 3455.53584886623 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 35.4857825753494 36.7240889736856 1241379.51311284 2377315.93307156 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 22.5621597186705 18.5545647121641 1072932.15399597 850138.530682368 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 11.5358833214186 14.7926337011232 630318.566102854 463920.822030532 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.29824682523605 11.018901934388 431815.052929758 295381.005110363 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 252.465032706169 91.8801485154468 773094612.958363 45007634.4710012 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 32.144884575955 59.3268054458242 5708569.03541721 13845702.9624261 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 93.7777679398501 29.0415604454274 222199856.369825 10664354.3749848 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.4095128217548 15.1678221157597 1045883.95335643 1852053.43782333 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.45250686567898 3.38712016357253 164.94216707042 3074.04951768904 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.648255800710828 1.30409770921369 32.2270597846301 1027.5662767984 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.272395474354607 0.719498125569502 15.9672299351338 524.589630186212 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.154833384205483 0.461794419287972 12.4423831228067 304.466665438585 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.99187266039715 11.1713722607056 443281.90027332 2883108.5169915 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.45833292771021 0.772416828559161 178402.493774541 9.38483586070677 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.10037168962092 0.433518452135043 65323.0941157159 3.24843975011148 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.35778213174331 0.300079607853885 27017.4716579157 1.79949516084315 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.69802674153977 55.5669744714805 806.109668408381 100388130.657822 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.243392048738465 7.65014748074708 3.1623257951219 867790.244546213 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 20.2449569250509 0.421595786988178 14202555.2426223 73.2195805755814 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.0745705474126 0.28384269112477 17132.3358860364 2.98654463098626 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.52122186101602 8.30593658926476 1014.57069444552 203965.130491712 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.54090553640589 4.56623034581087 134.77547406139 221821.263643214 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.65851102332322 3.69472527408498 48.3102317919962 227087.338935526 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.358865574146848 3.06522923837729 19.4252255076518 183314.413302542 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.90922816499985 7.91167485823191 141481.903220642 462890.602625808 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.02088843560476 10.3457787898252 699.27788166367 2548463.5323566 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.411466295993957 5.45756668723413 19.2155464693696 602782.255047932 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.267884463503883 2.7453586354252 11.4769006672902 111642.959899103 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.45234965810473 18.0665239393849 76726.7876960095 5798706.5691485 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.4410026533371 17.7659792431241 10121.0083858582 9707626.45551216 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.854678471281914 11.0973996073822 4641.73949842562 3795932.28023641 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.21061769756835 6.41176249200278 10912.1978223427 1170161.34046416 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.5149001047292 15.5034333934719 28757.7767862898 395876.706417209 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.79039508174901 6.681348816827 10668.0665727131 237503.335232188 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.57543395485731 4.49683005968137 7664.79277019825 191459.284163729 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.78143212327235 3.43917196072727 7157.44710492694 149684.119617518 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.324610233951 22.8756646791011 2184411.7442718 1945188.39543337 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.6299340089781 7.02626793075908 1845980.40266621 273620.639399732 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.7173348665756 2.12829665503378 501599.371069471 1964.36090535051 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.02668768069118 1.15903455381991 121374.542973324 59.3902973169222 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 101.490606416532 56.0994690003952 138031686.000519 74127018.6431837 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 34.0393298617379 12.5785516677761 24114255.4389612 1752039.14997461 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.65127434304498 14.1606210543593 67948.761397046 1882738.65671036 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.29384508846017 23.7104702344242 252853.509394753 14572353.8759806 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 43.0162105125868 40.0052855392729 184310.953634414 59945.1477733653 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 16.7405921180982 15.4341727409185 39226.1208347807 20309.1112351721 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 9.9728738678142 9.44312003917351 26024.269984835 15309.37606882 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 7.18187527359791 7.01986085935731 21329.6213006179 12931.9855163488 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 57.9979442618503 60.5649290075404 1023034.0057099 882717.312047235 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 29.2287907540857 32.0904450557577 426394.746245847 491927.636427653 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.0897666530276 23.9904047449994 297201.195677009 452448.21032361 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.6859960494261 19.697264493837 232496.41631842 376243.855738854 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 225.441677119589 271.669390057265 165245201.847148 191950512.729083 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 74.0248353190672 88.0503626748212 9985697.96234465 28372826.9603948 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 74.2984609182008 129.210580922132 91319571.6052509 108945447.867131 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 54.5461794792946 37.8248707040553 8552491.3025357 3426381.34923967 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 61.4462378765575 63.2458397540057 70698.6142997647 96200.153867494 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 25.5512972670743 26.3425880212082 27626.9508292557 39883.1118846135 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 15.7811602910257 16.497609565105 19385.8027707714 28345.4612532365 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 11.7511969974923 12.2418837809801 16221.5986092599 22413.7544562431 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 74.3327704926851 75.5671733129928 359473.496511098 391687.806449103 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 45.0421723422912 38.8900283084825 291125.998520624 235309.478316084 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 36.4610950023792 30.9394052056531 247390.361086766 299491.829269368 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 29.6204100869649 25.9377236752583 202270.850036775 271903.130385445 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 274.884421902531 479.827326421069 99559506.1581823 716231006.391028 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 280.046286496762 229.203928227752 582972414.36098 171931102.040381 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 133.67651028339 2092.26334834966 68244889.450709 141538918266.431 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 753.937516891042 214.115124081508 13699091226.8387 218815195.198982 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0396985700525289 0.0386006815165853 0.00551141007283153 0.0109181452725171 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0115309143450602 0.0123026235851563 0.00040957499126948 0.0008766507484536 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0064717858902258 0.00846228832227538 0.000104557486645001 0.000324801579492898 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00521829127041549 0.00825135694841995 6.12691681855205E-05 0.000299204834942033 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0292445623583254 0.0292603013355331 0.00355251623691774 0.00392501857411529 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0140090273332703 0.0185180214249096 0.000704666381373084 0.00124589476079105 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0120815359842572 0.0199107686932708 0.000483637013425382 0.0014494343735061 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0146555034907829 0.0254745660633157 0.000943461033613611 0.00318727347591517 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0276593218382973 0.0262534900951663 0.00388105940183539 0.00410614980404233 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0080578543706936 0.00779210601397368 0.000252256354207781 0.000262694379173726 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00477224195790264 0.00545837152656774 8.54138432990454E-05 0.000125207254108527 NURBSSource NURBSSource 29 299 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00407148258504905 0.00695122560729577 7.3480094906537E-05 0.000384849774505647 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.412361318600691 0.393518963654239 2.2334931270581 1.61936802293439 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.124918201085333 0.114490503968654 0.166728455826706 0.101362150734405 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0587709164425727 0.0540539313052774 0.0279646485989376 0.0182854125421737 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0346689164562853 0.033094331783025 0.00873356663114197 0.00667802028786595 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.264278948796701 0.253636709632552 0.733372788114194 1.00203506670824 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0850406452152681 0.0839543031033395 0.0789391424213215 0.148316855390771 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0463278160242469 0.048032895524948 0.0241705271977882 0.0333236973911446 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0340545256441769 0.0405461768464893 0.0108270191018287 0.01537637017765 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.273017657208591 0.256933729070866 1.25144395404422 0.823310499497394 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0637943619462811 0.058919661001201 0.0786080146644132 0.0410263565006064 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350202970189752 0.0332991130950598 0.0161598217771174 0.0136620809714745 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0262406826503854 0.02788910946522 0.00810809069156886 0.0166287138492629 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.834076859575955 0.804751053216954 10.7970285413201 6.85160438818589 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.250405021045189 0.230967353375546 0.772723733477544 0.430666488126473 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.117400996794742 0.107167480320505 0.134172397521069 0.0742999421019131 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.069027637421116 0.0638588364454633 0.0436556664737629 0.0258894690604196 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.526862744338079 0.518208572755774 3.2125887388341 4.72862000353577 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.167441296307653 0.166469715665799 0.357472652819129 0.771977073020465 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0883580399244159 0.087382254068294 0.11071765882721 0.15575151062248 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0600835423697075 0.0638253970502312 0.0480437514664308 0.0608113409234123 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.557022416062874 0.533937756065503 6.6625796897186 4.08999826420068 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127777280582884 0.120453045527078 0.322307442942767 0.213826917732001 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0692088298964591 0.0667084852322579 0.068562898568556 0.0616454861964766 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0515630158064933 0.0533939497762037 0.0325490077719498 0.061676796212435 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.74762221216752 1.66560775574387 109.681376537574 33.0331804136431 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.524208821803153 0.480647486411773 13.2354652956977 2.91722216674199 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.248173973710578 0.219516433109966 4.35649471099659 0.550078051156481 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.145546986613363 0.129293123124179 1.37287239716584 0.249040263567996 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.07041993262729 1.10549061684276 15.8956807168408 47.009242738149 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.339540363602621 0.363680984707808 2.26243016736144 15.3200739191496 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.178512542537747 0.181102565155291 0.800158133055027 2.58393085436129 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.117454706117496 0.122195086891668 0.3448677670175 1.21662282838704 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.18114870948222 1.18496522140049 76.6037787940702 96.5201091848152 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.264446884733616 0.257652794428139 1.53159056042237 1.83568240498994 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.144154358050137 0.139146770224156 0.80527691434 0.38832633737278 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.108413426883279 0.108225846914479 0.579632949278892 0.264277057698265 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.94565527093838 5.51328206664862 2737.78881476915 1121.63739327345 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.91744793993871 1.71483720838544 700.830647739115 196.829204744005 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.957380074073284 0.831202008801468 281.837264045902 93.3140616638296 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.597583360817257 0.516654253238983 151.646950428664 69.6451579616567 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.0922215222802 8.55522228294235 2338887.74761019 492137.510186215 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.46106597838801 2.63162313143707 1511575.39301301 45269.563522151 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.89163309166704 1.77188836794347 885881.115468634 22625.1832841853 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.67748449534993 1.19704473489283 599704.367377982 11678.1002282793 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 23.9582357194331 14.2824417074086 11376786.0117242 2550927.47625922 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.19197670832085 2.64754935448192 62981.9979027941 82464.9555552772 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.95204171197276 1.84507622333931 2351645.84838321 56029.7528577242 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.16457199215065 1.88764338681298 46861.9190098226 41877.8765484899 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.1140060355392 9.29823314375087 3859.41355799291 1326.74932834639 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.38667952127044 2.94964694777915 883.575793891993 337.535522503146 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.76092174145311 1.50068409873822 472.830192334564 222.307678374943 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.15476234832495 0.955942629423378 332.587213081283 169.651326818116 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.4806860188412 9.51384956672938 93094.5610989706 96184.0098068103 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.16979281214481 4.04001867461777 7464.40777989278 28928.8526142319 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.71008204457123 2.66541528002868 2798.82260333674 16592.0095912446 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.16977495145801 1.89328728388261 1377.46074000086 9306.69985567186 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.5012332364964 11.787165273437 119146.58362574 208690.156839058 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.25448975917445 2.4636982118552 19212.8075101896 3169.49187324679 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.75857781790946 2.33229264519045 6646.32111156272 24901.9797757092 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.6381030994022 1.17329850272112 6168.75102621076 1462.74736555564 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.33214742337791 1.32957137400828 22.5964605359739 24.9112627071866 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.393531645908156 0.3876997324234 1.63665463291666 2.23002815221531 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.184548657369181 0.17778074023074 0.282378172967891 0.390313461845945 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.1078331802755 0.104507188391348 0.0852909415468336 0.127976900453212 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.878683397671122 0.82745480076633 12.8905083908659 7.69899502071287 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.279578762229263 0.265025748973108 1.70748262389406 1.604088581777 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.144454628713658 0.139001198547934 0.494108380814406 0.428484661968386 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0947859068883498 0.0952391452392111 0.22217356872112 0.159359909742919 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.898343133036375 0.918502441849764 12.8299825432583 19.2198034443973 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.212300243568539 0.201013757420091 0.747831532513038 1.09382705296209 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112212737875677 0.110954766285258 0.15496291859596 0.263997133202828 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0852832675509211 0.0846079838199011 0.131249133026551 0.137376164205507 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.75512782826086 2.75816718189373 115.707727683715 109.700341469285 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.835186653330949 0.817610446446444 27.8742642773214 19.731363254187 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.403120947914311 0.382216707682727 16.9210683973594 9.03944104648718 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.243094171611914 0.226295068672635 11.9656074862749 6.11068212966191 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.83929648101451 1.8317542545294 98.8894986981164 245.995008047223 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.592518497968893 0.600144200878053 19.3589465604901 81.4838321644911 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.301888215173732 0.305038773212735 4.48551128578425 16.2726691911488 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.19714689674472 0.195868401968236 2.56378454479793 4.50235558458183 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.90192236321686 1.9763610871806 76.2330571325496 129.75348918824 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.461029164656436 0.443731325185333 13.6168042631592 9.07571182188983 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.233665228053238 0.236084228176553 1.37395017307578 2.05414382387625 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.180247654672376 0.184057786609578 0.998016692871744 1.87817994051622 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.87404127605806 6.11456728439318 835.94044254103 1589.50132168954 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.88493802064103 1.87637236340064 253.030116855892 374.826777362046 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.98234502758777 0.922897989390796 182.127419543533 166.338008631965 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.657360707461736 0.569537489813845 174.840033371077 92.4498699411774 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.3018037003191 7.06942958711705 35687.2363890518 136787.818791027 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.72814222839696 2.85744044053487 1739.68618655325 30787.4244922951 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.841708324645121 1.29579308315752 347.043963023253 5606.54754991629 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.624080576181255 0.673153394407624 401.241144858894 1363.84405506892 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.54756181564042 8.81575780807835 288599.334237196 476312.774405025 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.16414873470321 1.6318345935259 168.287394355268 7039.27455180348 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.59512560086669 1.6460647486192 86.2547777785775 22501.6390102827 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.509567853086053 1.6610803094993 131.534476541433 28593.1458481471 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.0894308713544 21.0884432655211 14315.4072062159 78976.7270138935 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.82472222712583 6.94613566842514 21721.0304789255 6041.84821888195 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.72674335340457 3.86835356253134 24658.9986574743 5287.78098161286 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.43865201962927 2.66183851043942 22359.7132775525 4391.23941456392 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 22.5208409804288 22.0143697499816 175671.450701896 169884.973991139 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.59414232516522 10.1280098590198 180184.392719206 134039.014114278 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.95217068626659 6.32414573185156 273053.801657391 63695.9185440152 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.73349051212724 3.42904573742543 175318.124139486 13827.217147085 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 29.1872048010566 154.533145743806 874632.21124421 275765063.689769 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.8169621380326 52.7290948605351 2766366.45771168 32540487.2572219 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 37.1243784575421 7.21080903952059 30244951.8625886 155618.368727779 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.68380438273914 8.93472729081218 239079.987992133 631210.409101595 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 33.2511685988344 31.4276429599388 99768.5773417618 22324.4242520709 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 12.8421330576147 12.3309697699196 25483.7225946533 14556.7624198886 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 7.87657185358134 7.14288711567169 21005.3593885259 8661.03975851798 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 5.80246802652097 4.90247879072458 16499.1489493599 5463.81372568695 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 43.2907658176882 47.3585986491707 318941.761959376 416839.207166294 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 22.3656152487657 23.0925025429977 205439.405278712 224193.142064288 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 16.2622002940472 17.9268471849659 191250.306742224 239436.400891044 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.62084371681714 15.1558160276989 57220.5179832541 227438.282615898 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 168.386748073004 164.201344745331 174003035.100737 69677026.3327402 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 35.4780247887044 38.3764560908644 1399135.24581288 2719304.22297183 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 24.2337032757119 170.604264796794 992839.24089979 504290904.149987 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 40.0108781039863 44.7119382210592 15320664.9089804 6282957.16972403 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.303215590326614 0.30247811120072 0.509509313258954 0.452482597227498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.168560934249071 0.168123281986204 0.0784838540626661 0.134026015904391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.242075636555237 0.24187739064655 0.0787995276387947 0.286546898451227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.37801625281661 0.378254015931235 0.166863520801875 0.688965967038397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.337589958593999 0.335564787234603 0.442256102201626 0.37317788451922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.305443469135113 0.302906456691311 0.210616298679935 0.334644961252433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.375143023934305 0.373635081469348 0.218697349351192 0.61956516896352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.490701698081065 0.490485366802746 0.426666483225626 1.09383897814734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.182357795860747 0.182879027318187 0.129425188405716 0.115137265240339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.212223667977658 0.215151035563951 0.129147816703429 0.242087457378142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.361369663218892 0.36005684431281 0.24930045527278 0.588912720451524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.526499613493045 0.529494466296182 0.370695720132073 1.28838094625401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.317564831092796 0.311365402494973 1.11766787431351 0.477154504067528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.172004150020694 0.174141292339554 0.0962014121704786 0.26668168108868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243499901586093 0.245437505095194 0.0799201682412259 0.320168948419412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.379267671411471 0.380806592962287 0.168843977343051 0.705090029619181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.446149426376611 0.376032895198495 88.2751298574438 8.60813728291298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.310108995735118 0.319886974118228 0.234070685905545 1.11182114797718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.378210087751512 0.379324913798449 0.231326406034324 0.663534461619287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.494545281802593 0.494685675977289 0.45230523076007 1.12300416786275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.506229051504398 0.387044598657713 1147.80259413085 407.15785171826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.226693835716833 0.254211953033115 0.805134284742887 5.24628961968302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.373166446212871 0.371271158162017 0.422781039206958 0.782058727802418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.536569656402393 0.533057510238479 0.568611943193441 1.30621752213602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.320214617086093 0.324508505914376 0.596698909090531 0.690836305887053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175046244067658 0.178401287905817 0.0929796108844093 0.259679712032167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.247328858154987 0.248502377341332 0.100133890798935 0.332171636616771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.383343271719163 0.38259021344306 0.192141869435276 0.715016842482578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.384940273895003 0.439475427268244 3.59321157696825 33.8794645489222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.329682128672004 0.335502133376749 1.86848983512709 6.45910659143572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.39108447908991 0.379901554137957 0.543108828555012 0.647791436370312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.500863184078383 0.494367107005682 0.518680663554828 1.11832527519066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.263892809365616 0.254377842915967 23.9729383564276 12.1948846925782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.257883144287915 0.250969234886568 2.30469302078432 3.31799170269278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.386786989075873 0.395700670187767 1.00159360119047 2.01383653406321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.538656892496498 0.558470762049539 0.53342911803823 2.31584416435152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.360001738695886 0.361484806390132 2.01219462954999 1.73711129040697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.190228979902556 0.189756881930227 0.30879817476695 0.344912838337631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.25652978365431 0.253405205005827 0.160668715748095 0.376082833593718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.389715971924302 0.386051671851627 0.226925924852281 0.744589502434824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.50532411339319 0.487757868234325 60.6301339713449 63.1759176981925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.334797838427983 0.347861900428453 0.672652819745212 2.68466707962727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.393871361565362 0.391556791016201 0.372127656633693 0.904712067774584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.50519394242098 0.5005105086143 0.522012083717894 1.17696403229804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.690534957488714 1.07759206699669 2148.69678478931 2855.63360041979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.280967940218968 0.265053360603477 5.64706540007455 1.78828297560642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.430872142320146 0.406873174534492 7.75880482343386 1.90273969555168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.572503576047461 0.62317465056031 2.96945018257346 26.0773827773143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.540263292937932 0.516590442643669 19.7096682762903 5.05844801642608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.265166798320783 0.250056049301662 1.60979791173194 0.954151764661097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.30700933892544 0.29246449158349 0.790494515948156 0.727998742206046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.424787597679597 0.413879123571044 0.58618596541592 0.924813065902014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.895618149419531 0.842149508915381 78.6928346369032 140.504507825614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.445743033045694 0.407552093454398 4.2251481588782 2.29672492492694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.445784642488423 0.435315043827304 1.08776379663582 1.28760590959533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.54100971506186 0.534273052085002 0.954693830694021 1.46917268491918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.73203571389023 1.14011393132074 25018.1044716508 467.979103343575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.810932315994037 0.709571441754864 227.896440163466 182.40178404357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.542318279957185 0.605810148129802 9.61511812317119 33.554377954251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.64137149493611 0.688953391741339 10.2511364296761 19.8086360244019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.649716925924903 0.9561408089564 6.80891529199972 371.376060744955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.325198478986527 0.336875379272709 2.2602502155334 3.63600579019391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.34769570877815 0.337119423659028 1.22319890106144 1.29937381182002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.456915936578873 0.447591045111485 0.799464422802988 1.31728548623813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.41604201387186 1.30873853283178 301.852704696765 244.857470222208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.523618237535316 0.507927183938721 6.35405028522685 6.26643142157299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.498597276360014 0.48886972751492 1.81454745287063 2.30886357020228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.589744941069653 0.56820985531974 1.49890532996881 1.83562649636777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.87410163444125 4.50064977351975 65312.9905014911 31682.6759357109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.32875185496796 2.1197617601359 752.080291140214 17898.6621377023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.73666411103342 0.801600049012666 33.021178201982 46.9451705319244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.09198844757359 5.35326213945749 21569.0507645697 274106.152394796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.364079625884184 0.367701034902176 3.36195217497192 4.82140185162794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.189497067990757 0.203138075454367 0.531855660177875 1.45431135459821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.255713970126807 0.268858579026519 0.307831693532586 1.10794440928096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.386696470609828 0.400596536523879 0.244275791822907 1.24498896015394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.482004074474542 0.424112853501122 18.6738590532842 9.35781912773372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.331517081641736 0.332530280723314 0.658673823191071 1.34651822122533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.392880866880979 0.393280644621252 0.473253189280569 0.884766087887004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.5017241658174 0.507674438834255 0.546264151824612 1.27997622510858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.394654056454261 0.83070039342616 47.1853315363344 3121.47958394479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.356178413505554 0.282398445717341 23.7107311592224 4.26825176040013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 30.1817088224568 3.2591759290213 11286320.8231262 91992.5967047739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.571955742942006 0.551635948992804 3.9512307040442 1.66136146678703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.431708962095824 0.414390102582104 3.99430678291706 4.69854219273087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.223340699389677 0.214544901371197 1.00602851987742 0.818263637648152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.281680549375574 0.276302305370906 0.67892470376144 0.7451369682891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.408692142389674 0.406785661121755 0.576390213424329 0.995249979160214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.712718725622639 0.529283079108196 121.938137379524 19.7147364194562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.390471424182477 0.358501997972191 3.20154135911761 1.40412697934892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.420126268350835 0.418500640979454 0.880631834994457 1.30061088688235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.521381887248879 0.52512976338892 0.755188008595452 1.46444358033914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.874660068014459 0.710707102174046 508.819916914295 612.604909312142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.60410294558917 0.758229064158912 255.089781667619 659.159387609725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.742492503189437 0.835249460723059 619.419833944347 1486.40913892463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.589923657127658 0.624571701432757 1.82158418261083 5.82525868459954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.575643712708863 0.591972990179166 10.6421235077669 18.4670304856605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.280970387431266 0.288174036689259 2.69387562559778 2.2213328504293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.31601092425048 0.314443380839327 1.53627485349129 0.989785476284569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.433745235206293 0.431384177818163 1.02252079200076 1.13033323902818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.17844389138475 1.21113537377852 344.461722406231 532.898353239798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.449789892691038 0.485975382459919 4.73976863394108 7.69896367887261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.458467726410911 0.473073260324153 1.48408191669912 2.31268418305626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.548838413003671 0.557814244044791 1.08017626931483 1.79134243164357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.62755369488464 4.8265228031638 8675.27406669678 28715.3372892831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.864782336099608 0.776933099599617 220.252683573774 108.849726451371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.969462641592895 0.680081324321209 1350.21140045179 30.5683490445711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.775995521685675 0.756571967257537 58.1791519264437 69.1273711424002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19244869460344 1.04878149776949 49.7208357213782 18.9166996737428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.569191550490385 0.485398621041308 11.0835724022236 5.64395499841145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.481857009264595 0.437078760845862 4.29139026529506 2.41215675492398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.543334621438683 0.517785557401829 2.53335287371162 1.92058011435311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.92738262066201 2.63595465038897 2645.8588845614 1134.47914350971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.883026396953126 0.72060857990773 26.1220008710049 15.3101006807237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.646174579261623 0.594709488859506 4.92241054372912 3.4823630637014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.664074959668444 0.65111080006906 2.42887171445799 2.70304000098797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.2464117154208 6.59756610454451 102741.589987133 19112.0822386947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.8491016478434 3.14751647042589 6879.87666717875 9773.39112353036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.22529181773513 3.27495688215256 138939.009736615 35931.0365284759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.30369167726509 1.54329876672024 448.47357408754 700.243651828071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52635209080163 1.41690853372503 46.4595929420633 24.7465158782402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.737738692603661 0.66013978229944 11.7407804638637 5.84591964856476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.596630993062009 0.556836398070088 5.28755869694824 3.30890449395561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.628111970833487 0.602263933383464 3.21156027017221 2.67511422085408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.33664929418509 3.08776989122009 852.441396763508 476.89502944029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.09951190694039 0.975332443522572 33.0960458708099 22.5354743492175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.77864323251576 0.735145245574789 7.60396859871167 5.42476696809738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.749625255159707 0.73696478496517 3.47416278280045 3.64111536314594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.07575496743233 18.2130369172042 15139.8428944315 202638.07500941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.61515820920888 6.34221724272451 7029.00774184653 37520.2522453923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.84923318797216 3.24270875422217 45477.7798839029 16309.4911161574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.63796536669454 1.70006534278699 16585.9122952647 815.200519467477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.04050485615077 1.04284045047228 92.0171301963108 85.4691893334239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.603661312422322 0.606617700119519 12.8876751927185 12.45744328297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.548449056331685 0.549693244409909 4.12792888803601 4.22297948911266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.672455036962069 0.672301780504059 1.82163665873774 2.65107807803574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.689689843439747 0.69070285426983 2.03395636289736 1.42301935273162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.699998069745599 0.699099014620033 1.58263516090247 1.35703112222664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.780692573443008 0.781363458302458 1.3752516112787 2.34566477269596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.10456400940893 1.10418217069079 2.0290600474417 4.90384672634619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.888736670789846 0.897339112616852 113.21182759679 53.5686904890585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.32297080843256 10.2702596180992 24443.2211453779 108062.198491219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.4787989786199 10.5946374785468 29646.3664286073 29390.14288286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.17328396894921 6.22871419175312 138065.279209383 40128.8495420368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.07055405708258 1.09478054332473 84.1687793641818 112.392267430036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.603669501587264 0.611144623230686 9.7265596712318 10.7984288475652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.548420268381988 0.550244781570858 3.0606747480008 3.37160079502353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.673778304003324 0.673672043996366 1.56009093857221 2.4505143058449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.719428506947188 0.717715454709188 2.56667035438909 1.83864442785046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.709578819517146 0.705467235887256 1.65199019420746 1.39064877110825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.787809423080696 0.786361136951253 1.4138030324102 2.37488778343482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.10996189571103 1.10712230135421 2.05794868924606 4.92347580442788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.946099994665797 0.897572838837787 58.3690988998535 46.2556102126088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.89752059961978 5.3462006585996 8013.75645510058 5387.9594285519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 22.5301657402267 57.3432979839017 1170429.49324869 15829674.8883303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.74705184427184 8.48444464390399 54057.6712734807 241607.236789569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14135530637908 1.08031936994088 169.435360185509 104.280698741324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.608631801482992 0.600090919096629 11.2048525169977 10.8218618944986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.545057662205883 0.543719632354324 2.50276596446157 3.13426364877055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.674195002222832 0.67354302946082 1.41638593356403 2.48419551795674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.884306370641534 0.740037022576354 85.7851571775763 2.33986426433127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.72725782313377 0.710363283571445 2.02031227361078 1.42789058984908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.793666976834359 0.790402023122985 1.46162041356504 2.40085858489328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.11226896207347 1.11062094801937 2.07509009087268 4.94625715044152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.25225331810753 1.94459339485165 277.77544799873 5367.69418585197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.35990239204013 5.58393692748549 2103.37614631269 7283.28839989906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.63826315053183 8.25040012348121 13892.815298662 6957.89306506895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.2572801673175 4.41899497962913 4024.06442124345 6621.02089913502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11671620138245 1.24702719299883 95.5609688800267 761.176653589921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.601813094164194 0.594869101830233 6.95350106814289 8.91764204075268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.548294629781453 0.539316960577516 2.12256706565873 2.32402402550412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.680544438243076 0.674876468864391 1.39044038565578 2.2224419923239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.995878183606727 0.865111155132175 120.95871024457 19.352445103004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.738368365578439 0.733088648677979 2.00615909936906 1.85171351383449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.803574123386626 0.799393134383436 1.51500165710208 2.4603770905625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.11784471300088 1.1168404973436 2.11403629625261 4.98979325940766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.42137915325131 1.63639269360539 276.566602225043 1731.82060868468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.43846401940077 6.39582158292597 4723.37258782713 5040.56893412787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.94509467553305 8.36845705261575 9003.099909197 7225.1236162169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.08193903525676 7.02107466050136 85918.406627927 155760.486263366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24016700370424 1.12931542394165 83.9798390525916 40.5307345373597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.633892809684228 0.60413597245743 6.58495781862356 3.95583106435752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.565726718839326 0.54833853077751 1.78528596936166 1.54384800202448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.7028038962651 0.694043857726306 1.39762009683679 2.18886402427683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.14713992204144 1.24528693520603 70.2663431388296 117.243962106159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.789264350851669 0.796787228177302 2.63163708999273 2.72118666481208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.837427815371133 0.833908623925171 1.73291000552255 2.6544081074683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.13655481640903 1.13588640281392 2.23692704193541 5.10409496866012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.65145256210569 4.40794513363124 90170.7083438277 12550.0683484292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.3531342763555 28.5932661084755 845103.692892299 6677850.71867469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.9599300329077 9.83217048928079 93740.1549413182 32945.2012618364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.52298922048614 6.31230221535687 31663.9059144604 36563.629380307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.32495001174861 1.26197268977906 71.6486619983107 55.6175019299448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.673326535052574 0.646066434919719 8.13355587974714 3.745146915458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.589108739022954 0.582784174686436 1.72992453325356 1.58665131034568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.725244758018816 0.72133348322848 1.38991392749868 2.28205356713395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.56644943307221 1.45667539509392 186.230027372864 99.1695052684081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.842390559674762 0.860207310292231 3.3553891827548 3.56495355738314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.867000629684532 0.867497952345425 1.91477827314686 2.85910814907846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.15279305852048 1.15298522398143 2.36484997422508 5.21697385137164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 370.466083930995 43.6787705611164 1796995281.04467 8402556.79578634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.4124369202544 6.90986600939205 95106.9674334238 9851.62234928138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.81847359008991 9.24996785164482 43038.9534775567 23258.1524770017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.13966099593134 11.3795230638633 74421.3440775695 813207.072041614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24911936801808 1.09542030388805 432.525442384794 73.0490482224474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.622043627816985 0.608498685520884 17.7838290047051 8.83436412569428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.552768232880514 0.547395574630363 3.4243866332582 2.58463866779195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.680482390705298 0.676111591316839 1.59574263805932 2.2996286098944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.871171746849162 0.858847068300401 17.847891714594 16.7419725206335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.734878436401913 0.729649363566067 2.06065876309324 1.78296191482771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.799177152411974 0.798364200078993 1.48333613377911 2.44981462115918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.11452579037352 1.11422057033706 2.09206495180346 4.95708856498444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.06013116876728 1.48148552957197 2306.24487853373 482.564981721741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.04645338129477 6.83191277756687 2995.54582860372 10332.1678584548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.73263058954645 9.84707043548117 16079.9058093916 43784.5786023124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.21946712257265 3.71640794083425 2503.23747962841 1344.6429661579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.27923160584606 1.20210406489248 445.24988215591 106.851359663868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.604816107658451 0.611570601291914 7.11643017056216 9.70658167404863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.54603992251018 0.547991207452255 1.76949504726932 2.09931419404364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.682999915676396 0.682553782368023 1.27016923185939 2.18014134509499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06563821196529 1.22723423346506 72.8593866146106 349.359357153922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.770189641662718 0.757409085164269 2.84826861691297 2.04685010024602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.815600748047418 0.816293720058026 1.58035543816004 2.54529413158854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.12293116781351 1.12354108440472 2.15421186116388 4.99578921800038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.99235970976629 2.60577642732256 5240.47507477057 3133.26934008232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.7671467567148 6.79995564830401 437765.905122157 17449.0365629217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.49687334153464 8.487849699905 22574.0777129316 20515.2171082353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.5196053369573 3.90054455618587 7745.80243736563 1489.56559158675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24777417470522 1.21840111887134 65.799605204658 61.3014467148657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.641535465487854 0.631564517221937 7.42352042946406 5.03037758290732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.563339591610189 0.563028693527582 1.4958367073688 1.6747062454339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.702800462713628 0.699370486846357 1.29088641885006 2.16915057750003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.20237784501875 1.55758190844631 33.9108792203566 828.930256525294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.814521473500965 0.814471253914233 3.2452883737618 2.71397693391679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.841476284853438 0.84544162883015 1.75452749204874 2.73839583749027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.14069000989011 1.13953760537755 2.27576293199332 5.10415699414256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.68646122873932 4.73987211946738 53472.7259457898 11159.5931388051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.90504990166332 11.8094159873128 72029.3518062105 480386.903781765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 20.6686849980348 29.4134373680134 1434092.05201779 3649545.81568184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.75868479560999 6.51374901866695 28574.8419718756 59207.9021933126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.58419769449623 1.52119341821145 39.0909668513498 29.5926315205786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.779735924545949 0.74719356012139 5.23032928627361 3.94809621312453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.662044544832361 0.653033516434462 1.90960617553322 1.98211897552983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.782911859652768 0.779895203252745 1.60582288816473 2.63420017949501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.1900716184104 2.11655134019975 183.092166502864 187.078287600299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.981276306788838 0.962501857318938 5.54038367208439 4.27937187001053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.928533829917498 0.932874384084051 2.33290684399583 3.26031295907175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.18051825026122 1.18574301265504 2.58366516380315 5.41510635641558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.35360226022395 10.9179143136287 7537.79664737579 53632.3559207306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.0098337524327 7.97338467178478 52824.717089062 24366.7600790054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.99978750626488 6.87252458511523 5099.54052888893 4187.66879414183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.96625134961247 3.91278202628829 5682.32964749767 2061.08169283631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.93613623638299 1.90866523772989 42.2690221977244 33.5404304460198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.933869553051931 0.927891899187976 7.05146799209734 5.61301112966063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.752312092326524 0.754070618556304 2.39244346039214 2.47791388044336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.852031786232676 0.846846357937375 1.87343846134177 2.95943186028885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.01072925136214 2.94968427742707 354.073729064261 309.186790683237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.11370629330738 1.13053589005789 7.4413084751094 6.2370028503317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.999848430451256 1.00257915685827 2.78163795648069 3.64993848109164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.2151710722246 1.21265845408954 2.82652404313441 5.55590906438944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.2105764472922 25.2375099151202 96443.1536289806 1972607.1903865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.72993909294334 11.2475489941348 10916.5780856886 39979.1246057045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.75112707661307 8.58267252083652 39167.376336162 17493.1584652098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.75433956078295 5.80502470653589 8438.13030487269 36049.8711458667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.25478725551934 0.252097166168998 0.310104607121019 0.241774331782268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13327472335073 0.133006623266164 0.0851547307482462 0.0610413005296495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.157298205591177 0.158578846935159 0.0984589620941482 0.0833423331431966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.186753194487219 0.188336166089117 0.115482367553333 0.137336724082935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.237579879880672 0.234954633671818 0.333492174785165 0.232235693516471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.227755881712994 0.228911510873461 0.249937404281287 0.179231849147077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.265302960881951 0.272706519201461 0.273068773231356 0.261409735913439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.28977411834818 0.295992863981904 0.265211888624906 0.375809346716611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.304006910940386 0.240292656714966 60.6954098087083 11.7150024382447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.593802602984646 0.570534364419378 126.099237931971 66.3206387998929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.24258172054816 1.13541114798632 280.094018909059 82.6330409040729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.22317900985238 2.65023933131175 515.668839440644 1631.15845250189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.293290062678007 0.283437463449998 1.41271298039152 0.860904455158347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.15330614714311 0.140182903590096 0.578859324999483 0.0800949244820726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.172832097510906 0.163085186684871 0.400072543557854 0.0951280704303323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.194533852922629 0.191807323088661 0.159726017829635 0.144723915802971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.317507882924035 0.297479271039172 6.07788394152861 4.12867267816008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.256740899229614 0.245379167762928 1.15402118563341 0.422905790799841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.281647770386671 0.277725058957829 0.528998999334523 0.298388703158836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.29818638597613 0.299908466501037 0.338694289024793 0.386878123284928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.356310198099705 0.292762394205016 51.2143213049659 11.5423199489721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.31831442896189 1.46929993011244 159587.727808531 4392.96154546194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.3468660625011 1.2398163025264 411.119942587082 130.274636924446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.75622269865895 3.02188071247192 2064.44558574469 3845.78871353361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.352984527760723 0.372017595940938 8.47123767278145 11.7304549759953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.16982887900525 0.189014662919626 1.12278722484644 4.01811070627359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.175040491038732 0.186135615983962 0.260649680526859 0.802633795795959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.196837658260324 0.202623131306775 0.164972073284856 0.240602746756465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.33341108877305 1.42218047726826 2085.87331598602 2519.64194675636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.318223338207036 0.340357960381739 9.98475262732081 19.7339497368644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.287817719029713 0.304767533232299 0.580669347631993 1.22242298616804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.300101089942182 0.313645294229947 0.331941811414472 0.519156700109359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.99508689860845 10.9562442022982 23066.9656141362 681778.237509612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.81746690041154 0.955612521574863 4032.9796942831 317.357478077009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.3636864897072 101.644353503789 811573.966752477 86808308.6793252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.40963252982482 2.35613176077426 1563.69081530608 833.822895489221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.402061630805292 0.367935752619168 10.8036251030747 2.25781465033836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.20410456893382 0.174962267984805 4.15479973789936 0.367667742969548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.193441334841255 0.18747761172186 0.465708872512475 0.289419601403953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209444847488 0.215970583509819 0.218454473137941 0.424294846618009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.16005357526081 0.734677840143669 1432.90882158751 647.110855301549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.516642733407762 0.311239929450713 139.091943307086 5.59516498720138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.297625808887131 0.341226111880323 0.530090547425552 3.61721687291798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.309348326561849 0.3368472401324 0.361330783519118 0.971326904734796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.56011596249395 5.04974163017075 36186.410947565 56121.6197069777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.47713342087599 1.10087873901542 6067.76390565519 721.109667342863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.4040104760508 2.10373465804589 53372.9635004451 3571.52115983986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.68451766885723 2.24794922593936 3023.11392818401 1152.99846070097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.587038350196724 0.584744159767994 7.05690484378999 9.83468593520625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294017554362788 0.283903019355263 2.36136263670097 3.9155952563207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.249441157126119 0.256485096351374 0.978262833092093 1.98559049906717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.2464501216331 0.259956911222945 0.505597570886174 0.895253743398368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.93392644781185 1.08104307036226 1326.26157179831 220.926131749807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.527941035730091 0.474099385300613 18.7404632532831 19.0221000875595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.377267624237871 0.380705309313017 2.65825598939086 2.81597891867997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.348175367672769 0.369635532546554 0.799498709668154 1.09584335339775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.44664690381631 9.62336867258452 5376.02327700572 138741.423813129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.1110607313648 1.63199924073964 1654.41721923253 668.800210069709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.18305310552327 1.78106937628771 1582.52459881077 292.204560471677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.31753792461632 2.27464730458443 3584.91243991345 491.318377802105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.746856048092784 0.832370329379194 12.8363655695655 113.333588794823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.360634086398518 0.366078711480106 4.11982980176156 7.73340569471688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.292509867596702 0.296743687524861 1.87055192432001 2.62306958771739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.27921857171333 0.288040471962603 0.746883242546444 1.30699708386943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.03609158696028 2.76494304081227 5493.20442023734 4892.84178933725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.857791736615696 0.694345931909644 229.754790263484 136.938910591962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.421808175730719 0.447443647474967 3.85937768407969 9.77438118905815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.374018745454293 0.392905102515189 0.859102499356896 1.47620678391456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.09576765137204 11.989117061606 89050.7900778591 150358.35724897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.22378185780227 4.7372398916773 15177.8235498443 43312.5124303447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.59411637537224 1.52617272481552 346.794840020877 149.196077618136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.37043652612379 3.67864983411528 1228.30300561324 27990.0395182131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.383192948309563 0.375111749182479 5.72718579709316 6.48068592686735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.186719597896284 0.19427060663985 1.14993372595979 1.93792964517378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.187703734565831 0.190239846176127 0.410437493413208 0.326307367989634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209847544767595 0.210469833515156 0.341189513109772 0.250773989431417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.75325802273192 0.408676759122646 242.670160293358 10.1508266241122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.293617125127896 0.289024553737138 2.18180353277594 0.977671324689714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.29643631523492 0.30131555683248 0.700973349305741 0.465441961366951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.315061444491134 0.317104717041591 0.65940474301777 0.482168526877062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.18692432016198 1.07550147728977 145467.816936505 646.214754227157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.790518840092317 1.08368577039869 83.7524946602585 582.144301966954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.28619352884202 1.19574275687816 179.104680117473 116.205700118805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.61327208622721 1.50815278156676 113.414087161685 79.376806930004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.488821068446293 0.502659906327037 25.681594263416 28.2547064170141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.240271260064012 0.225000435210384 4.11921885549514 1.89849947734266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.216252483321822 0.211337652040932 1.07740606368508 0.717268370189412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.222537523522636 0.221592526350989 0.333493548384173 0.302733725283802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.08673051173045 0.730754036850017 605.524201321656 69.3844567576395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.453775721960832 0.356660850830743 80.477875573405 4.02324330599484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.318243393867145 0.328954130239785 0.876283239252229 1.21964532659934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.329262039083225 0.328056925836014 0.577896640537959 0.534899123633399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.49514688999172 2.69047267579125 8972.19895005423 11148.5009507559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.76817648414593 10.6677413147259 2796.32236026737 421471.884205658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.31949186633503 1.81491021758049 3568.73861429247 734.598115081159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.31571212557666 3.90331091917509 2208.8475690411 19672.1390122702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.581633213256513 0.590261695757193 14.135282799979 9.60494565885723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.276475646753453 0.268692570516707 3.09864214943541 1.55772713059903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23520147961315 0.230185726156678 0.715514510266448 0.454544877019492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.241150182552909 0.236724461946641 0.410326046551878 0.317077236916391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.49185737302706 1.31059858829211 1052.03566705419 850.659578240398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.493299303808328 0.40314058753435 28.5203974973272 5.2271071208982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.356589868808464 0.350846512042843 2.10429598473806 1.08366972575949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.351372557205267 0.343671979338573 0.731635016026227 0.590944424771432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.66766764891087 3.13029020597658 4008.07472013018 6686.83585687192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.7242626764808 2.91709361734416 1049919.85933615 13754.3518596722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.94844617372207 14.1184886818123 276651.468137161 1258125.69861175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 13.6224283780618 7.32941400291467 993562.009514043 75034.4239840849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1794522615004 1.19476279276364 34.1058850075998 19.6178076692339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.515433926121212 0.552085576881985 9.18392240578579 5.28982582942179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.360997188900507 0.385001986630506 1.631842166666 1.70723250902273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.324144551847807 0.334176773086447 0.819884677792937 0.789767069681193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.33669271759678 2.63613917512532 452.167020059233 1288.28060403108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.738395343385877 0.764960041582138 20.8637151196073 16.2067944427159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.469805182574494 0.477946455155437 2.46311536853507 2.00063705963793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.429010877760749 0.423125836727682 1.25462838100181 0.933928379308307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.1648449751033 62.7981382910251 197881.014966972 23105474.6057581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.89141556198249 2.53238449634021 4033.66281569607 1668.84809425708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.41793798706716 2.49924497289771 7131.42267022871 1817.46036497193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.85389293648377 2.03856709128199 200.341036161909 466.667295059495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.73862698770471 1.77496782560067 71.6415980765196 49.0386177382953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.758430430559017 0.837868442068155 13.271147809015 18.2564192238842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.506476115141327 0.560602332339891 3.60816237638232 5.29536913521001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.423780084291507 0.445221497896996 1.68375724434771 1.75080238109503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.71139846600418 3.97151686873663 2145.87833202403 902.977076568545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.34291445539909 1.29381248294643 172.02218423435 240.353938805814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.658227333148484 0.689128714062871 8.56743616993879 13.217318345375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.542383173025595 0.518087078705565 2.97891759114076 1.76872651699569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.0133405717907 18.2028594130742 24857.905627617 478503.679795051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 38.7994630256054 13.5848669279102 8697276.66810594 842322.83987689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.66762514665669 6.0909920907953 2754.64510866983 38594.4576562134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.85368736873062 6.85654781384158 19099.1867335634 162130.13062399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.329208430155417 0.329172264410734 1.49420686384615 1.46596652168144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.157861044324221 0.155974192453766 0.261724534892727 0.219237934131463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.142987823888476 0.142215948142202 0.137296558873542 0.113027722040626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.159845925118562 0.160180703861058 0.104981955021522 0.120272735231122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.260836335101857 0.258704402881297 0.373514625447446 0.268664204020019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.2117346789309 0.207051130768118 0.229272714097826 0.154679151770734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.211759725294661 0.211159333211744 0.162995298751769 0.162989412465601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.272363314973127 0.271978060262503 0.199585217533459 0.346268474895661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.191003823359383 0.194677858295111 0.399325077062239 0.402533351227865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.976676160705974 2.28296122858927 2437.6155234768 30100.6848014442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25024243591302 1.10125282168615 708.880219349697 257.964140036923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.06399773370432 1.27978039842154 316.894954179162 975.493162007991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.34777599135006 0.352076342507191 1.7127299516165 2.10037049174557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.164764251134295 0.163590266799387 0.308848867320755 0.313266982140136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.147718770483468 0.146645337081682 0.154185269793036 0.155371727108693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163722700481387 0.163683902032493 0.116422107131646 0.14151422062884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.297704643230804 0.320819458247173 2.25269833982584 5.07480680865347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.229390664341325 0.217155262528152 0.900859338225621 0.421278998539934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.224261258317586 0.214307354017475 0.438087226721629 0.170040341909693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.281792560429521 0.273738291501235 0.355097966167726 0.352615695786693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.254548072116255 0.261605099619381 4.41096478813878 3.86724721429451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.509209977844503 0.529724308068071 20.6599729121484 19.9163988178138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.88042662967848 1.96681636496578 3097.99886670461 4022.48250325242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.17098376877886 1.31629913952816 471.50659106186 1022.5453933789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.360456123130589 0.365444115141352 1.80112990500346 2.07953857424457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.165183191461803 0.168092023439303 0.275087482269865 0.304741741110723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.147875505385977 0.148656088675797 0.142772713959316 0.138173325675726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.164444120588567 0.164486493937728 0.11139915081387 0.130676464534009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307181087491718 0.314190557045083 0.999936098845701 1.44352718421218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.227672801591768 0.221266239598899 0.369052799934004 0.237548162077411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.222527149754543 0.217242530740702 0.23510838602115 0.175665109922036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.280143938882008 0.275291138861409 0.24599128836774 0.356273056051814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.260064116784515 0.272057831343151 1.98212007822671 3.07670866214928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.493338471529862 0.49313459494438 10.0093608010801 10.656464362075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.97890088891193 2.27877819121598 3134.53525527218 6089.54825050879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.769692674924902 0.727635469107289 28.6637786581533 33.5968205636798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.401464621959525 0.423719355792936 2.47331219880636 3.60828271359855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.17611384245342 0.185513362942585 0.338545249575641 0.451849423642864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.154091155952651 0.155607708697512 0.165689421738431 0.157263139081374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.168987417576139 0.168539042963447 0.12546331319514 0.137995743838463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.372326629741793 0.391599332887421 2.80352647418816 3.58890790609967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249017839202158 0.242111215890537 0.640736732535073 0.414343939970333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.234549586211203 0.224369362825818 0.3978744965044 0.196102828511499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.288517062321997 0.279005661853616 0.32715351445189 0.364323291222981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.378500613632449 0.401447191210663 59.841296632093 39.5038117717435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.536747507784467 0.541911253934533 15.1172831749859 21.3368114597717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.08198577351156 1.20372124899976 268.18517081325 537.458350451876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.791555036896546 0.713964422985448 36.5345603265972 29.1591257964163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.623423751963833 0.617948202595849 11.9309814369786 9.0244219842408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.281584335802177 0.275006251414079 3.15622740568779 1.93395680971726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.211656219119825 0.217415128715656 0.825602190799374 0.953632595151239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.207128944214766 0.214801231156474 0.482177475705906 0.55932755686085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.63976924594292 1.14025770685523 2699.59783875048 417.908732659346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.494826880052169 0.41028444015954 32.8496634924229 6.8223163891559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.340137368427503 0.313350865806202 6.41502027117874 2.08975489572279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.351446692045405 0.336633321454233 2.55233085711863 1.19242852599678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.1136171796361 1.61086811178788 3129.65944087402 2001.19216204259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.24916800909921 1.48331023331598 327.833214917549 817.599507530962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.33869709066863 1.23613623792694 635.029924651679 239.262536526776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.96255672870763 0.862677465205951 106.111351923301 39.1455391998778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.820318483241911 0.800192915232614 20.9917562516079 15.2920013038932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.368150930185122 0.354784258278153 5.18365214070319 3.77222833087517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.262180494986768 0.258613085939119 2.0320091066289 1.45650197349434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.240228585309657 0.23777237673719 0.941474002128271 0.70782957042102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.17111524090131 1.43748837383736 1792.00343150026 187.043048607917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.507012494274292 0.581129241657981 13.7609138248147 20.3229817419721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.375258195992455 0.392246815911034 5.94727243991154 5.44385414174585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.377703423443261 0.368769552535491 3.21927418853882 1.70086700301084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.50592134142601 4.53968970807443 23461.8534780598 18161.0439725513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.51807195238828 1.40219150189536 607.150808943456 213.787133356008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.71849863637044 1.31367228705753 1390.35606849508 231.582035533832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.973715565899346 1.0250987854739 132.897248874868 156.983351133394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.486362250553295 0.435740065280265 34.9369616701985 7.75601984781839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.198156230853053 0.189181841883221 1.22588518953567 0.854724593853341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.166348920630435 0.160259267552944 0.432533969472608 0.349575715073211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.176423930739477 0.171042618712091 0.283874189832909 0.181936774206352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.546339597622229 0.466741269651321 85.3083290680437 46.4744092660494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.296016683783585 0.240956968990922 6.56834807740659 0.952246887019569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.253263792855186 0.225257577486747 1.49787514214773 0.210557116807124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.298390555580224 0.281295341464646 0.63336458187326 0.377140293555937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.40402643965125 0.53471811278297 2724.07314836843 133.553931750842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.00775544104866 0.942953455310176 515.067409834827 570.188520584627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.34585156011043 1.33325130785433 495.531850317429 433.436713917253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.50385640071502 1.82949036675395 1422.55307140339 3133.67023822074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.588988435420427 0.547130822621808 36.6665782900436 10.7930790884159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.239949837374239 0.235514698493075 2.54554559038368 1.83657680251352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.186698323766483 0.185993862306487 0.658957077649358 0.723942164520334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.188453563819692 0.188837856455057 0.307775683938598 0.429046501423406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.753324766003161 0.802286632267307 134.418717269742 414.473394212653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.318694210956195 0.339948441265732 4.56967328925999 9.52809852952245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.257464077851352 0.264803372244506 0.723427672189973 1.35552974886822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.306246373879941 0.298967444473484 0.593357085078962 0.633901179731565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.28372717817406 2.44610147354564 123826.509197576 5935.14719688947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.6690767984799 1.21947098370421 4815.41775138877 542.895586699918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.50224470132146 1.32561428222576 1435.30217903538 531.205719127824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.989452964583615 0.987649209200089 132.151890451792 102.184499488212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.904883579034274 0.674666401187584 203.00624940513 11.1538191472742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.355315101466556 0.310472731074891 15.6664253170947 3.7149845209003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.24693797518786 0.23691667920816 2.58114737311544 2.08467232345624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.225059245744551 0.227609073506662 1.00446877180202 1.20499878955322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.61489152948295 2.85112766557827 1818.12957677163 9885.07306264746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.552878676627161 0.563815147038513 49.4462394165373 155.130746376103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.350654279534076 0.358137151406135 6.22945378587959 10.5046746691591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.351562335003881 0.363095035103424 2.66725148787698 3.06615769281202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.45158590638841 10.0340971299731 3562.40733827501 278598.072599818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.08748801039296 2.10010351447448 3410.69797407707 4248.19891294721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.99529046399812 1.34670382517785 3745.72677312139 438.930725328614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.04546046861877 0.977954237426841 136.691609970297 137.234272272407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.26522938821606 1.46589044628558 40.5884117893616 217.592326172846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.576742710409289 0.579847088185991 15.9266731066449 20.7245433733779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.398908916255649 0.357934061888407 6.85613219807678 2.4818361082775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.32969354189446 0.311997099887065 2.77886897506348 1.50045060570141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.22329548870537 3.42698695243937 1247.52121948502 1697.19529091266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07432116375279 0.964286584628513 143.261469055933 80.8063256089176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.606075191058453 0.562966374194266 28.7239342219224 17.0446068101754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.468450118641601 0.467754543493017 5.9279097404982 5.45792056911093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.7625824456518 8.28365281415089 18729.9273502384 21607.5829525833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.24028107513418 6.28039431930872 31193.515426277 57239.56256445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.97719151886153 4.93591805561325 34820.1455047171 16495.0416172739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.17086662965718 1.30560114562804 502.473616766486 292.825018729812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.81288219734921 1.73959966078494 65.6247019095867 78.726265280551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.791797694943679 0.736682476098639 16.8568721756568 11.3028758995911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.515408099250326 0.474388039936608 6.70812466964081 3.93681356365986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.405794047333199 0.38944573526471 3.07716793474695 2.25494645697404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.99108512815607 4.2180548434717 1375.24420409512 1325.11434467758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.32613546212833 1.32379701676222 153.598358567847 112.958018978259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.647266916950317 0.7513444646766 18.7962637466427 26.4640564824404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.521736339325541 0.580060530318621 5.50578089562878 8.865531162545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.5976845372541 23.4010747073493 906273.984176105 670274.572084763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.35068133335271 4.53319748829968 55054.2042481004 11080.903351505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.81014747621506 2.35969184252249 19556.5320734971 502.941344154501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.87891882752634 2.51787056173152 22188.5656661212 4217.60709769415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.880203725204386 0.937070838081099 1907.3978761054 2108.64281197029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.397114121055687 0.393541890467253 249.949686271269 231.373673996484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.348135602989077 0.345346174362021 70.271467135842 63.410802334641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.448443579261037 0.45193507549162 30.8863749789379 32.3812258734678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.343358700452127 0.343299572485434 0.392268505250236 0.332389881261143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.374372739537563 0.374548646051934 0.321341399450265 0.413234021271244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.446177821162345 0.447833463405681 0.287716563394274 0.740790755687216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655359606403081 0.657301132574125 0.531788134448403 1.72582466917495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.169620461639586 0.161986146031325 0.113272481773762 0.0767481832480543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.273863909715373 0.260706376859691 0.217752877694776 0.178900293936273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.451380578383287 0.438275102635099 0.597487557429536 0.546313341206169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.595957588068988 0.583655269536747 0.880850386909884 1.13858824698774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.08717105170467 0.94296965375515 4617.67342188646 1803.42815146414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.50339232041965 0.45152841715298 766.617968019077 400.424570135364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.38787423546695 0.404604540408682 151.370352835853 209.195624286187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.473899977217171 0.499824450060574 60.2931383546781 118.750224606147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.376013786019007 0.38752891071797 1.13214253319302 2.85010194819163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.379482021921911 0.381013340108322 0.369844607950808 0.441176957785634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.449315832424496 0.449376289300695 0.309392939501492 0.743795922016118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.657897614674203 0.657163967522101 0.557494455067437 1.7229785221168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.206616848713069 0.232981666332875 2.16840142704915 12.8493656840087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.285624349153022 0.272413691282609 0.334829830165635 0.333168598478015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.494579736532386 0.459293431045078 8.96307399119355 1.52023285854963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.618814232339716 0.591980269366775 2.18637912579638 1.20191480148265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.518387466432944 0.536861759828911 147.151800184918 188.914052880543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.271883866439427 0.319112766881929 29.587493035869 97.4732065659963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.288177747515089 0.326104480843964 8.66584030849637 53.0743239953621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.412182831061028 0.440332071783416 4.06049257565308 30.0952089728555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.481383699209081 0.451879141709181 52.2094915117223 7.30342425427791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.399885372047679 0.391971352777351 0.800916138890198 0.565298769366553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.461850864558679 0.453602795243759 0.46731014053459 0.763715990364173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.664651309626165 0.658793593747497 0.595533194503295 1.72838468048457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.413218578907785 0.821076608037075 161.4492555561 2009.70322403962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.362040115902045 0.523716125901874 5.14374373568769 434.462060407646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.482029486056135 0.47868905457641 0.963183644936598 1.5231836629153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.633208932508097 0.63512975587987 1.62796802478316 2.54107916163114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.405586841695168 0.501677436907141 7.38102768279271 63.4212779518971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.224355662670146 0.296627820246038 0.785075604432737 30.903748154156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.265026268759217 0.311911957584175 0.530308600189697 15.7199654882999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.39651364181625 0.429294916902852 0.413158548420754 8.97400335019614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.681844112157722 0.572251414585431 133.292975840634 102.345256183678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.416038234361715 0.409809403366233 1.21336981998759 0.763174997771732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.467061125472054 0.467357016108194 0.452400047242802 0.916104206342138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.672173225585276 0.66761278539334 0.66079696424604 1.7803875477401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.688710807869893 0.854720427405641 294.729728302974 546.434055635024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.396827809676817 0.496058231136959 6.58187292451709 31.7595373021674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.562113631833044 1.35956450193482 6.30366067395926 5860.00422180522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.827533150567833 0.6647337563434 88.1216688453576 4.0488601093134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.576926345590792 0.60013184763648 14.8872314158727 30.7785593232726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.291803820408741 0.319116928038793 1.2866507876452 10.2805269876531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.304251993523553 0.326894653025371 0.543878368425024 4.5492925545411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.42372767740454 0.445166819522051 0.427865681981222 2.79968889178446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11008671830822 0.767063770820405 209.070731089793 27.3801305497359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.500389115981316 0.481637968339111 2.81209320391504 2.02609866010789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.505750608226868 0.50715445198788 0.819815630213141 1.31399265482488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.692854271086598 0.697107877924485 0.806554114951514 1.96479550050868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.20828510209164 2.14993342062642 31206.4075362346 6361.19859883834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.875013353796931 0.921573681624871 89.857612366971 241.022467587583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.922544522758106 0.745096122398628 225.038314483509 12.469243705715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.20258755696279 1.30908740769724 8244.68441020378 896.244676219235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.783736329136184 0.790491548673635 21.7947977414223 22.5355561639056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.359128413196405 0.406946915524207 2.64712609630955 6.99108493892268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.338051933257753 0.377733466671693 0.860671893644544 2.98722839500357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.450070332695129 0.476392188264579 0.591144728182549 1.99209426260187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47076279566079 1.33902193749536 320.544548216226 121.564650213391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.551173139806399 0.629100434523152 3.8673179000554 6.35338780110992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.537431571886381 0.548605851784589 1.09030750712303 1.654153633829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.717636618777907 0.717926646322344 1.00000402300487 2.07560770281898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.6509402790301 9.58542756167446 705464.284690001 102165.670704963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.43043264614818 1.22490720615616 14464.4984201841 233.604647121349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.951086117217594 0.911978446637733 29.1855819836037 21.8653018531724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.77439811860978 1.77778648015129 1372.12689616034 1157.00908887972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.423521188721375 0.650925931604157 47.3096110006073 662.929053548844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.220746442544952 0.274088192477136 1.63058643501348 21.016625662833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.25622617348163 0.27865095612734 0.37488274489408 2.9774696942357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.388019401119142 0.402442911823 0.240860913025917 1.49240505214461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.435486760056819 0.482533607186531 3.18623087550474 7.53535246333994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.401196007545963 0.415075011692645 0.72543885114064 1.25504140859439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.459629250391192 0.460157519107277 0.414720119769633 0.814947724947464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.665747187195844 0.667023773537281 0.613554904198832 1.77123880125823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.697623517463235 0.510726210548818 809.283912103615 146.497421521201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.343193989608764 0.406903183081748 1.93238199234053 20.2502604913207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.579435216003672 0.5226128464093 10.1052533538538 4.82764023651769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.661559657183052 0.712896157633682 2.49292427053044 19.1166911116139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.460712193952035 0.58408442931165 15.4016907552779 168.255325825548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.252694613012522 0.267020819453845 1.240569158785 5.85088844366027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.278357012368494 0.287965899921376 0.411957550580995 1.20408020912668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.402984120696229 0.417106797448466 0.307832482177895 1.052560810315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.790763793424647 0.684217506301035 223.808958256345 52.4542884250146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.455112667068683 0.441538540543441 3.11682757561599 1.38044653563098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.481184130886155 0.488303411326196 0.626217969741234 1.11987812672918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.675083953083554 0.687040901947352 0.688033997569463 1.92589331847667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.824021292992579 1.04605065723973 193.740344773479 1588.75799960247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.602765388382235 0.593886281870104 53.8836484396243 64.2533229042844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.719902604249359 0.782685061959478 75.8562443839325 220.864872846748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.705916726221651 0.703168756352715 3.54354242674762 3.84840545610465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.635791182551378 0.76721553292249 21.9512907460398 75.0701132231266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.299102407915016 0.337510880305166 1.45652366125335 8.56734395637437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.29979404929294 0.329788478508209 0.5094395592147 4.04087707680162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.417539426332986 0.444417960059144 0.396654882004699 2.22326977660346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.920556464893718 1.62610665057821 146.555504865133 839.688961099011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.485679906206129 0.509653294301325 2.19415195669665 2.78804425253367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.492646738354877 0.511081865137474 0.632485614285422 1.26496184420969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.685151567318167 0.700695951436142 0.733153561454267 1.97232541677304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.23566659273399 5.84066016798139 4828.41124038592 40569.130775805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.68613965415618 1.66665539771573 3398.91916656985 1473.71599219621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.136466957194 1.73354238200412 12470.6394251862 2685.10627569781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.25045063902973 0.86979822746397 1197.80259671611 23.6160731382002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11539822119127 1.13043471417401 23.5587910459074 32.3647023657136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.525677455042286 0.502165894413282 4.94200983697927 5.18129208167437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.437146417444644 0.42611340392855 1.79748964534791 1.67413618574269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.507973120846013 0.512321911623766 0.996309501489288 1.36071954018766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.91577083382588 2.51222741323663 363.854879279615 3543.99264516244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.729318378425722 0.689128075904272 7.1049973463503 4.98878241673565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.599566791372198 0.603058810500817 1.70681706626049 1.86221084879255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.754425811243171 0.773707560231988 1.25750606040201 2.43142894100064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.81242155858053 9.9471354474647 39346.4234969555 131580.066936049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.48173793424077 2.59169591951914 1395.44931617186 2059.83421194626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.32198115294562 2.90782603908917 113.839004849664 17912.0499020763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.28847672178464 2.10439583395099 87853.8611134137 5420.12219235568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.59908949018564 1.65125216720579 34.9354268890567 38.8133195597044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.731499978965685 0.722786480586839 7.14904581817625 6.51456621112318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.5639443573161 0.556848155474942 2.79694580139756 2.43294688373684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.603753145736055 0.60705233031825 1.61092469292952 1.85531664130576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.76152373974973 3.46453498597791 315.80771231354 1634.46403186709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.921460017748225 0.918746723655141 11.572943167363 8.9070865229197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.707816150706728 0.718748694461838 2.69435883926289 2.78069981826403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.826260384561817 0.847513381055738 1.8192023928826 2.85675379329238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.8006631353878 137.725992058023 12663.6458235557 141997696.924571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 16.5905573205115 6.95591514161581 1281236.54744663 33851.3790300524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.05260148717733 3.13046942662121 2758.36682024568 3880.5102047971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.71552846695946 8.38826663322175 528413.556265282 265890.379963882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.541822200549437 0.542443036271769 42.2336873812164 41.9271960544364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.302851422379287 0.302207128643247 5.63305225589902 5.47664683860126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.310241021585637 0.310922763792831 2.00157748430771 1.93238510845661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.328361567067788 0.32875182835174 0.982391438050633 1.17283704656587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.338823252104217 0.337238528655344 0.696555692721423 0.470044802619162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.36659344277024 0.363588958924091 0.630242732097241 0.443281074103383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.379734459573675 0.381203123252404 0.502406733393537 0.653506659886353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.460098979411966 0.460394801908482 0.518193538342299 1.19670293734596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.627528577015368 0.576410059184478 793.945873528962 739.637113179848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.10919955679121 1.08966162251784 144.839089524874 109.480117750409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.24859373693852 6.28745186630834 2087.71011585274 25901.6251699711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.66772170589872 9.13434356393732 126694.01891178 79206.3457319463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.60473790247411 0.546257420167523 67.3067343261417 35.4955279609948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.316615188881845 0.301330385221135 7.42713854524125 4.59832465157023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.320627631985526 0.308866956087606 2.57791806113021 1.5834044924587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.333230868430342 0.327292999339158 1.17062527681349 1.00213116149598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.445400079168897 0.417611085393262 37.1079299546856 35.8198321401248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.381172874760715 0.489870609768675 1.0384970231265 75.9145507666279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.391742606800248 0.383008326917225 0.763776296399156 0.660215660543954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.465024870832586 0.463662498689525 0.544389678784557 1.20848857291447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.379350906895946 0.326675189187978 13.8596802657942 4.39061453274835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.32153391089453 1.07781326180547 605.370365171747 75.086068922591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.58102113036878 20.7943306901764 57388.0170375311 2409206.44634764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.53654299377931 6.8920119858995 11773.6363367598 20678.5853715003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.822608034437037 0.606678834248682 521.121439543683 73.485900211671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.33182938912037 0.31120878567797 9.01931172302275 6.27087516403731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318160590496892 0.312488995251992 1.8943888447992 1.50007453644636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.329356350990687 0.330640305349538 0.742856958410373 0.907651328523823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.64029586437801 0.626480937939263 269.883384724341 537.826575570875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.425357703672741 0.51721451746275 9.31035847074357 160.072588113367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.39846546845788 0.397243801570987 0.909732127574801 0.887754550224709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.467504841734258 0.472822579724685 0.555635113593639 1.29251740279846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.803017845564524 0.396106068230103 405.621825161664 12.0276698916549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.93884865021635 1.77263815025333 2515.60963114338 3747.73333260056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.01179466599906 4.0905917867649 2002.65605159278 1234.72576032784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.61162620803518 5.74193512006025 8828.42263993704 3308.20248416858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.68183302846655 0.603279288083113 56.1946339651472 32.6220892377627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.33854140604276 0.317843104810174 4.55137289626564 3.57141735650534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.317332145995562 0.3227221937326 1.02159780071527 1.36048383658363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.327890460631877 0.33713569281632 0.45842574656093 0.918544842219815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.24359519879076 1.72848360911387 1351.15791151745 9092.00415099135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.749751761674371 0.41471088225002 360.941884887113 2.03150691150345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405700194568108 0.41255544653406 0.825592325362066 1.28296812183347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.473417636761639 0.479908832738699 0.578863580516544 1.29988120178348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.63960434630081 1.22787139532061 235247.642463793 2361.05300974373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.00037458234608 1.83754587596491 8107.60074428124 1267.95000181396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.62593294939876 4.91775472416732 28026.8803317947 8738.12800495393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.39280056299472 13.3122378847109 25297.1587727578 224962.276244257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.860564997394319 0.949063090149766 81.6194548625007 593.118047385429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.435333070732317 0.481532463507582 18.917615942844 145.551623191661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.370630563404335 0.399465424697473 6.46949410472143 35.6511154649081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.365517135175008 0.385137470979038 3.12445381206716 12.1797525911395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.83624286503992 12.9857979774118 1429.38717135193 481088.449610205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.849651567373251 0.82674627743923 225.986903829181 437.460417127313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.438692135590928 0.450649762845372 1.45429775745539 1.40162910332415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.494404174980219 0.512295136016004 0.733883201275995 1.53496178231486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 26.9072353190828 29.9571852032481 3122366.46521645 2051307.11289038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.66182096427995 2.78587191127416 2245.90726977364 5283.84875247057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.21376292501277 25.2872825760947 112863.167488544 4496909.29356589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.70737661614969 4.53950281633399 3907.56223444499 1827.42488731996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.886437407814317 1.08732744174598 28.1526839349427 117.910202018623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.469216300992549 0.48713203709117 14.1187946861048 22.6530807746153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.370170980088964 0.409572254168893 1.409520270195 6.07765939680927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.372610073998493 0.400333214111976 0.765900284458257 2.40759387208748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.93761333077773 3.65818135413349 6517.33165149593 18775.6964473795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.997308982009511 0.613893694480302 428.044632343388 18.2484990015778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.469886139320092 0.490528770560764 1.75573742371183 1.62554925652555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.516790158167955 0.548575165128834 0.88519073870932 1.79741392388468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.8323386488109 20.8531008984289 482433.542298362 1779353.44054396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.80670280380739 2.47683806929993 6121.26516860118 1866.05851755834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.51997169215333 4.65312712605808 5291.29087717448 2832.52444961978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.83888988456254 28.7010736028162 51137.8729722203 4238305.12984343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.673747093875373 0.617680113675862 87.6501544388675 60.0911025504617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.309302634351866 0.309026525770486 4.44043878442289 3.70357600506721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.307472642646353 0.309219550627531 1.13802106709568 1.1050498347959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.327455834135727 0.327488631176982 0.55439336133751 0.786674540125591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.67999224882749 0.384071988123345 33333.980282135 1.29233541466502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.798462782177313 0.384691249964158 637.822529806913 0.81607629662572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.409195482110551 0.387497322822535 1.84147185495822 0.686729534290848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.476407974225606 0.467115296251609 0.709308447757262 1.22316911010118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.12586719789796 12.0871817612943 20184.5223592978 808818.878165934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.9710229411707 3.93043525015321 330087.98561473 33096.1390441377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.01305912984794 8.56483468706763 9876.65348039595 108745.36406251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.80572880373611 5.77490542542597 31849.0325929047 8689.39551808009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.91316283194772 0.727893185860031 350.398023436415 58.5605589491183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.376369640869353 0.341645771747882 15.3422090380406 4.80227194915459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.335189628497958 0.320258277503454 2.50523750778898 1.25852134511567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.34412198617199 0.333623554375517 0.887869659461473 0.818980695945716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.967488474817225 5.02542718430729 1236.94998365984 73213.9174861708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.470104193726586 0.636763638004444 13.3153842695954 299.590651854412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.441597259629617 0.407939182714862 4.43581610257382 1.20580576193507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.492572341291767 0.476614326659754 0.829543057795629 1.39877123239588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.5764780271862 2.66565479116082 721428.029629152 13098.2306487722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.08990167739881 3.61495142054293 23089.4728833109 34226.4043410854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.16665466517974 5.17562161958943 4124.63659978415 4671.36268402887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.9264191637967 5.07862308269747 2903.67073652664 4416.00299897057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.818357577049951 0.973756868022182 48.4507387251909 465.394466348041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.384549006844588 0.384678581674938 6.24473282117717 8.24602482159228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.341075172902903 0.327555951824844 1.08495715576482 1.04302180869592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.343913680957045 0.341612320739806 0.522375565664288 0.761434149620789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.978054845132363 4.80104664744429 331.193034433936 30948.2559097326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.632328968571134 0.924996584795811 63.8495158792516 554.816968981819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.445863122853766 0.419596678591908 1.7144897739208 1.11605213615133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.502534006794154 0.492094041644343 0.909363137360275 1.35692128876003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.2217810959506 4.63877815058944 1197257.67823605 21773.7681098487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.05833086268105 3.36171107880792 8190.77523624157 8167.25543508317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.66554450595566 5.80606369310758 3010.00161282303 8119.46052907841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.7778213430684 18.4826750994468 125775.569131689 948392.10995475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19689880886332 1.42641443590899 34.1887148499 309.127098128291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.568333865922085 0.593352157832424 6.12572010650811 10.2760646318249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.452708777539864 0.440292509139427 2.07108220979567 2.01210857293014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.424430878744572 0.407094098671591 1.04305139807826 1.0577579623709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.84287983798626 3.95430785577466 1900.91900575896 5034.68196901068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.21211218227786 0.890694674538082 381.966566792456 121.730090414101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.577830422219452 0.520332977043008 4.60665044320245 2.23269327918743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.570556529126296 0.553997965223808 1.38756085711562 1.69287954666198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.812471193569 13.6708220393902 113692.920567107 192632.185914666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.19224990906678 4.68709596054748 53280.9431656247 9104.68660226384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.02196170959505 10.9202994005547 12859.6307310085 400575.867675056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.41823524147734 4.08659002013777 3114.95200744424 1784.09555076153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.60139567691993 1.55397986020747 46.7982913546345 36.6723354321735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.783577578736708 0.710243880641104 16.3851180252382 7.92390065626856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.58239175426334 0.527124386116257 5.75138189743917 2.34507539677415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.499595397794436 0.474206229987372 1.41389476547883 1.28000321282864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.85121988327862 2.9874514188993 1605.45795710517 725.675776602162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.23364627567 1.12007545694594 137.986587257773 148.989539343581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.696799668860524 0.628001371181349 7.98978627038967 3.65584847888915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.637133028752196 0.627921227592334 1.91800902431969 2.21221880701058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.94005555999881 8.17688618669233 36285.2856756513 9857.91017217952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.1488256821902 4.41536900457511 13415.6721411067 2863.84262510568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.080801243525 3.47989142095725 318.720853814968 905.205845155877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.40457385701454 6.24823441009008 157331.499429094 36444.1512573134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.242228720417257 0.242881483614621 0.482799150600226 0.463198922491586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.151682696264206 0.152286748572128 0.0784101622057324 0.122247826282051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232900511552584 0.231990592107107 0.0666523188468162 0.26272297471599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.38468045201154 0.38298320469492 0.164745061279433 0.707638788134893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.278844336502047 0.280608158086033 0.267220475381688 0.228903175235503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.28052365482652 0.284168612854721 0.164584219659373 0.269869702835251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.389483440679731 0.390414889576698 0.210335233274513 0.656157000886603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.546847579869977 0.546585514780476 0.444870971866283 1.32643753812539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.138767093404373 0.141617995134831 0.0658231455698 0.0707597670202594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.164483726842784 0.164618662315529 0.0605817611412412 0.120211791785862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.29073668970659 0.295869399440554 0.136778969632183 0.435005000092779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.475316374513668 0.478140407011397 0.297322030402468 1.15574183900638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.248366997891486 0.260653153555874 0.423083856310803 1.07348783252377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.152783921976228 0.167336516238956 0.0654907144243061 0.718667569231376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233451125577245 0.242844514317559 0.0639340840255064 0.596318698881708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.384896513813564 0.389737348299708 0.164382424606784 0.844124606444357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.306787111098692 0.300163252613425 2.53151671859517 0.791441514691004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.28365213494971 0.297393447388404 0.175932421478175 0.661327579521467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.391192883969192 0.394314912218246 0.216825949123076 0.70933787478377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.549310219401646 0.547739324241013 0.472448482391903 1.32945610550058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.159519603296555 0.156716305162286 0.689132534491397 0.29024821229783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.175192486818423 0.172667581284306 0.272686628756393 0.349574693018903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.300850761498014 0.302512362164483 0.399073609073803 0.553881392452087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.482387165897472 0.486789463301324 0.516650392797681 1.5387494826705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.26293106478581 0.262532066149673 0.600131190336545 0.648292643606506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158624999901424 0.15933399392808 0.120043435010311 0.162970242816978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.238151431999679 0.236709330475036 0.105587024740799 0.282825495288829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.389007810373385 0.387428046869613 0.203332330629774 0.725973035145225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.321888201586945 0.316092474820022 1.16217967987671 0.963686435753304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.294741328798807 0.292100479676341 0.365723696395447 0.332204666875107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.401053204994311 0.395665084434865 0.425423048891018 0.67820648702566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.552478698922027 0.550973932966704 0.50221105026102 1.34360680424355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.175559452232144 0.174269976045752 0.387789466918391 0.25642681399485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.181254305599289 0.179642753846079 0.179183517901322 0.21011237210953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.304310377131398 0.30735754534323 0.227884575582025 0.516938364677557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.490830703312979 0.495842440418617 0.76558487749973 1.78954174327067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.292963311571513 0.295019685866585 0.987781147488781 1.16267752202014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.172440220279743 0.178467454059017 0.196880057131348 0.456126046594736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.244572706394261 0.252847788078224 0.119716298571362 0.501770405949993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.392187446389714 0.399631306086292 0.201181771584868 0.862994930093488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.443438188246553 0.432074722610159 21.3517167460479 15.9433359937762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.311497517859414 0.329122760258104 0.498230797554111 2.57938337607224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.40648627817197 0.408636384300463 0.377751376635897 0.820698950878831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.563471025684621 0.557471933333354 0.622065104664627 1.40051575234642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.487722244882317 0.91336437262979 205.99427711514 1232.65351720749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.301178573280096 0.459874923531044 17.5506912098423 115.252361101833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.39308777378341 0.350798622134862 27.2897246178101 2.48691334214732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.658520440810033 0.610296563227557 194.806927932243 68.4275903665595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.500809217382383 0.466483544547968 12.0208715339835 5.31011835662466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.26367192075853 0.25641935480375 2.72334441851934 1.94756114276224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.298101871563604 0.304269246259874 0.785785774466766 1.407982916616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.430643749044518 0.434722067740861 0.576567085763426 1.34632093383539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.89114040804905 0.787445220477235 119.569221355409 81.2859026542151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.409200749213423 0.455579234124039 3.04266055216891 6.75175897706799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.461992703962951 0.475016223872557 1.36409665430797 2.17587553900751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.595107134093753 0.59642491148104 0.970780318504278 1.8969353209043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.06825012278777 29.0290928687268 2191.7384360512 6388870.91884364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.740440224002835 0.558438316999327 186.545491942077 110.253087239725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.624383282735756 0.627832605432903 116.982243663518 65.4388785288218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.599253447275568 0.651511012799119 5.02549040449981 44.5370155840365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.643133869165791 0.591192106987628 13.3057906113088 5.84134080352096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.310736584140209 0.307376672198801 2.56470916900356 2.55235162576804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.328004934022064 0.328303269354503 0.90816004511499 1.2355331971146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.455011967131488 0.458639277686593 0.723828998674997 1.4142864131093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13229637419869 1.12730829475521 156.733334779869 221.999520993091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.485123311908319 0.500824050440826 5.57980828370199 6.41292696096148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.508682694552146 0.506840719930783 2.0839609081313 2.35570903196562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.638120845635246 0.629875286103241 1.63136578551839 2.22478493614859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 8.50247637147568 4.90752575211898 273585.074527202 21749.2353294123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.1683113203827 1.06684548216455 419.077004404665 569.709613498366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.87656305725115 1.27432523028242 76917.1642385006 2225.01907269769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.749726607748354 0.835691318041642 15.6331124263678 294.936508624888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.267161281363145 0.274861861906394 0.527076783857246 0.922608500562237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.162222213780443 0.16549126905576 0.117162602634824 0.236420275550598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.240905103969955 0.242508780023708 0.114315478007323 0.34435684746683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.392182548552492 0.392376711446832 0.218376359423433 0.782083277664231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.327917187534739 0.32778223660613 1.1380651406128 0.832976028920208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.29466853995335 0.297203052710071 0.377651630738221 0.360502514618232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.406707259967289 0.401376452735682 0.606002912035169 0.745584198614462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.557984099658498 0.555796056972555 0.571595339108517 1.41613352558042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.219121735580721 0.19561774936832 6.97509170730744 0.546216325941391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.197908957890453 0.221860284830638 1.17322968576938 3.81224124933472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.32065565482047 0.313681033626212 0.924585322964794 0.616352596193083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.494948508922911 0.805651678084303 0.700556309982636 537.392500143472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.350861764083663 0.391276792662673 3.49383026763254 10.8723676423506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.189115425712101 0.206884236398569 0.457191414087539 1.32907443059104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.255587707503198 0.268117938365851 0.241705236953429 0.86839243784141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.401216658477622 0.410549669309614 0.29666542508067 1.0464852170726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.493189259526344 0.542937472866679 34.9720145395712 48.9930546781841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.316830014031355 0.38191998914967 0.697779512602494 6.15004919863167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.411292107302367 0.437743323294405 0.483518167687584 1.71960868122159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558422926690862 0.574289130560402 0.557285214805819 1.66079037951297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.14217324496584 1.29266771643917 3066.55680508775 2315.47025450551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.276595989158405 0.339270606093098 7.75382141899586 19.5476385717087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.335653513595315 0.388455227384898 0.735257509152741 5.26938735147055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.502677210225345 0.52577928814253 0.622799576305979 2.86657218539797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.457085934628217 0.517389344489533 4.93320360424416 22.0459699475771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247567125199355 0.258935698801074 1.5457690977534 3.35037375678699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.293522593098365 0.297954986563676 0.620017555753252 1.36382302295914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.431124041181841 0.431712394417898 0.547975093073075 1.31342239157109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.03541908800512 0.786797549966253 431.554479629446 90.6083712493212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394486019882123 0.407118550673293 2.6363099402924 4.43026898869708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.457303982698454 0.456501775593998 1.16390291433681 1.66761579459328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.598700345111919 0.588793432840422 1.07649191947018 1.7251967220899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.87360124289467 1.43779677074997 2774.93378443249 1428.02591127126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.24517988089136 0.820680336309262 2802.68060847612 815.731770144119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.482221913051814 0.563599496488447 9.41838281185204 56.5240149048059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 16.3191472143599 695.401666166962 2349250.69747201 4752776172.55318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.97043676705104 0.921930431375219 35.630973607169 12.0235233007206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.457051811536119 0.434636255867715 7.12665698165862 3.39285997624879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.424469340903503 0.411628644119015 2.51791625109554 2.0482388755301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.527902260069962 0.509157995573577 1.61270196027461 1.74041305533654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.8001950863791 2.20319549584091 347.040219686123 482.127970181469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.650938246387974 0.680325285607857 9.93085105722464 14.3994728346319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.607207939874161 0.559879777229563 3.61276531109591 2.67001193121519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.704738612399996 0.655252287185464 2.31573059832015 2.21333753394715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.4053512730826 8.16927242827703 77014.2671991826 25811.7052122262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.07578165881381 5.57340551953204 2177.45855623988 74048.8882027708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.16482177662081 1.33262512224903 285.23838375354 584.818305772535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.47340803320009 1.41363768618999 59905.7572195768 1402.05627573623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.41650605504618 1.4317482804094 30.8174761325033 26.1377476935699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.716269682285688 0.682760057867172 10.8353032747457 7.11179439854255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.594455821603284 0.577348627643765 4.81766245116978 3.98540093915121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.647369621895779 0.634796084086415 3.0492301491536 2.95518833453679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.73363061595646 3.05877183643209 355.839765728738 810.89709409351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.00091521467756 0.946324332244107 29.9792098425542 17.6664260340592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.787430335231078 0.725044176914147 7.11583182001621 5.05443463929892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.827229034320792 0.782697486789598 4.15810174712269 3.73639777449226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.7177934459944 22.963888418299 302412.011540663 555602.817502318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.02283101722235 5.24841855309654 2031.00454799426 32652.1058098543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.03661330921287 1.58402218324733 1670.23855108568 539.533978716267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.44512428542146 1.74496457722243 12438.1021932055 956.16308306494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.86473980398801 0.98646640250989 75.811632875964 276.674464911519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.466182126729877 0.504363550745038 12.8564434032992 33.7119585203813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.50619573645243 0.525114872068285 5.1374459641697 10.7674662404602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.569939568501421 0.581791990001269 2.94389746152378 5.82774276779551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.562569389530969 0.554246408342764 1.63113622689753 1.14014757507842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.561553631037329 0.565136680660775 1.30330446746095 1.19097456405084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.66217795216791 0.665059186290111 1.56909570350491 2.02941127695974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.747096408437911 0.746346518831786 1.76781126988083 2.95061729204147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.88680302570861 0.839980229478897 228.100295411543 78.0025565231322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.76334486742381 1.77502337079615 408.199547118535 267.285131957288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.61963065221538 5.08217298040022 24081.0759863836 20424.1915289797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.9287445936991 3.48731506531709 9631.15339008213 4261.54193983614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.897036296505214 0.946057851875563 91.1033364936247 133.098194123322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.459555641178311 0.482295853578225 9.48064009056394 15.5953722660676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.496864359255144 0.508750830623289 3.52034712235874 5.05824442838961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.562443086206562 0.568664884791508 2.17502036993099 3.28308100967733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.631078647305544 0.621841075592121 11.085833402397 5.6486578611407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.570423681444175 0.57809315908837 1.38798833854361 1.32415911682084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.664276039430064 0.668756892563059 1.58151769049979 2.04685419580895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.747435515152585 0.747079973161295 1.77012292602196 2.95239856426246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.16256520050746 1.09851759866552 25209.5349060256 231.777877667731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.85035928885412 2.271690094702 502.688501766844 2164.13262843766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.5279443694184 4.28221663711803 12136.3840452238 12099.2979709583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.72957169989212 4.87932353835063 75458.0172207265 24644.0589830285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.897505763460939 1.04243148466482 102.839914448813 287.886117736592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.448865879824508 0.480487412711453 8.66831537965016 13.4506672014039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.484067832796607 0.497391491851302 2.08132987747019 2.76822079599887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.552736606627233 0.559547886039726 1.46265107367946 2.11592313137868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.652266264870901 0.796707997469814 10.0618623566744 406.664135501112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.57871126275459 0.581253010450829 1.59981595636667 1.38704895482813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.665367158282148 0.667940593369287 1.59387090317561 2.03995318576006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.746771764641241 0.746358042868227 1.76820792863215 2.94484056889303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.44793373878485 2.11706733057784 760.022373654793 11078.2225980014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.10454650093664 2.51116494752743 12892.5039229684 3063.65356815413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.08341590366557 6.27373415402556 36828.7519402488 34226.1156783557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.88443028647608 3.45077196849775 461.792645323304 2252.14553244227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.886324514350941 0.932832586899724 55.7718320960282 135.003490151019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.449097947616486 0.445209210273442 7.05893546645267 4.85794183241974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.485106912151098 0.483183210565753 1.88157578216906 1.44340434981938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.551790526896967 0.55162238758445 1.28645520257835 1.6773904683917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.771072294491057 0.929437488028904 36.9680048576212 469.299324710011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.596589929569792 0.594380303824755 1.87001056770677 1.48650527329793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.671248302552426 0.670511312854968 1.63410521199291 2.06405107350196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.748180238566046 0.745598116841115 1.77851351258113 2.95210450534013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.66544741214782 3.65296670576427 12532.5401736672 18589.3395054669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.01591241085931 3.42340987383829 24013.0753031193 35096.0374646789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.09346132657216 4.29366022549197 9725.86042670173 9492.54470566492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.95272255342119 3.42315837532662 528.322021768081 2238.91198146785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.01599022051075 1.00969726062649 47.0112895297162 43.7557875562579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.483339632725525 0.494467036304222 3.17988554112383 3.92156295115893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.498623384479989 0.501429219013116 1.23298451387321 1.23612929469111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.557700221353796 0.559764033722476 1.20568266872057 1.63952277160855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.31168087068819 1.05735977229226 678.671240984131 94.0984348418491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.647164998339926 0.653175495536295 2.75024151390869 2.91883235753941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.683323409805838 0.6850387722132 1.69128015350093 2.13488812156247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.750573901770413 0.751222872420633 1.77546302908764 2.98035069988707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.7122190959065 9.19817295968494 2697622.137361 394469.338384002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 465.280914166754 1358.38172561541 4122074293.75655 35380768201.0191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.08487126118752 3.60779304519243 4352.88159897106 2902.73927288322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.12299686074642 3.24039437935274 3162.9166722682 2567.42085965032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1634979486472 1.14956004181262 79.6381387684592 39.7105231008232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.524705827780358 0.538679196305319 3.40352522181316 3.45446484884167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.514684057890287 0.520727362729793 1.31334200829718 1.36154256943985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.565014982808817 0.569003810140769 1.22037158755293 1.69182899353156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.8123346568683 1.76038300156671 1495.48911496324 569.97910638173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.692977778520823 0.708277188779445 3.21955213758417 3.52890352921134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.695185779493705 0.699567929031667 1.76796156094259 2.22096148877244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.753842576291773 0.755469845069576 1.78116815511228 2.99836147248256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.15383224559627 10.6901568273305 21646.4010337189 517229.990193545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.05755934833252 4.22459169990995 6113.98940558094 26982.9993685957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.5727347741931 4.36755611803568 2098.40329020483 14551.208974685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.88130594375393 3.42218745717276 1543.25955258792 7642.55807949053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.975583722080874 0.844417888844683 291.24154506037 38.3754366578425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.476086873425771 0.437049413622753 24.386972125613 3.50823553597235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.491874849403375 0.480050585088174 2.75735431415553 1.29419881932181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.554840165690044 0.550059158664553 1.44783824843277 1.61578151336392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.7831633072958 0.70062935369951 86.7653990771671 28.2945063180777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.591991467650614 0.591032682734292 1.87559230607903 1.47530189867191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.669951570654691 0.672507059057166 1.61347187089947 2.07651515492757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.748305864070436 0.747456629543256 1.77468712564136 2.9577520919974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.51949580564587 3.98246409736557 57300.5316039298 53571.0321418306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.87004185398529 2.70288456809744 301.354254316049 5566.33691072276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.6132255695798 4.11563182046847 11073.9745130398 10337.0831213088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.59580437258693 4.57942054971939 2754.94631206496 16938.9466495497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.980705936508902 0.904998862342603 166.269618002193 48.457970949048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.491416897122416 0.453037225564562 23.2427103344903 4.32492990275951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.499300457800516 0.483528405919035 3.20826479688597 1.21431277732378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.55777055775085 0.5507790439648 1.52483799289963 1.59440028635259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.927028084014575 0.981662473550906 47.6966810125886 143.178025261424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.628104705248372 0.618700376432171 2.77833579104621 1.87834747987385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.676568338453945 0.679466188335544 1.65875963001839 2.11384447888806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.749091855482337 0.748954551260721 1.77357731567963 2.96327399025924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.23597842454303 3.18029359066369 2432.37871139039 15749.7631326139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.11272077057087 2.46225135407116 536.535354626899 3379.09267054417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.43571185279516 18.9115677986669 691993.106997331 4230038.25442346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.37184208544464 3.60107626520283 1576.7868781045 4683.35934609243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.0272843323013 1.10117527261097 46.5674050100219 180.804142311788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.506166503641705 0.517859708666701 6.20763264638943 8.75731717958751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.507023721991956 0.510017702173463 1.35884134547153 1.47760130623213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.563226157158052 0.563728150436439 1.21139406091825 1.6833169718692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.36044438826345 1.2875592024584 242.674664016406 339.882685132644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.663103577711452 0.666455469130765 3.20414712427618 2.88389865348629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.69207982296491 0.68810287265253 1.77708469917782 2.14885011822665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.75456196651319 0.751123249668565 1.78866359388236 2.97426637997289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.49437871586696 16.6764754060173 26398.661058655 1191251.65645713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.72581821128948 4.92527161601983 24960.0124756346 27094.1138352133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 46.1596063486224 163.307714843759 34678924.1408435 491515426.509362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.93962013027924 3.54698134780937 617.271206676713 3378.49313266136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.49560420962576 1.44061584603468 60.7866839731606 51.5198271258979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.692051550429042 0.68146136051364 8.44210073923633 5.97792040437348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.585746159483427 0.590075463432674 1.91981057910634 1.88294120655459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.601243538940931 0.6049991322561 1.36589327579691 1.88252715177981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.43042042988789 2.5387474835599 776.161190272676 1011.82446963647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.828218651455977 0.86198525479943 6.83071220605122 10.0753849924915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.731657345648263 0.738771510205736 1.97697952621364 2.41297088192319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.769852270597038 0.7672362038732 1.82231809539077 3.04628696716132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.6298436668918 18.8709552359944 192846.97748433 462137.818649059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.24843922203793 5.71045581498496 134079.08353204 23046.9540197525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.59433956173787 3.60740882465635 2013.96920929072 3046.83619442556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.24281202707815 4.26217106347509 3722.62377983825 22407.0129421008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.79612411267855 1.68438420563878 50.2933836471819 29.7588042195419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.836484958275571 0.791014026313332 9.45367171247041 5.53473538246178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.656051516076339 0.63993404279087 2.36608198618792 2.01732527206804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.638613749724867 0.629415577462134 1.51993627201655 2.00475795287623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.87028304419459 3.11354429906997 493.52770411257 513.571503046839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.937730601923443 0.976945927085161 8.02238401402275 10.1214124346106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.768734806805046 0.767753168005699 2.17452781943816 2.56216474777761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.781517510959855 0.776451089880138 1.85382636774907 3.09672560098422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.5130101971691 18.2416733907859 177475.139668696 333672.381361962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.6423090980505 7.74477638356415 268947.422220513 115165.949975187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.38968826114795 4.11391020240268 26377.2026324419 8522.04324898827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.02276969802508 3.61850641654047 2672.99095062012 13766.5183025863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.614909837346516 0.619274392645803 290.254052442352 292.774826055976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.281595270910056 0.285259006126229 31.1158778073746 33.0084227582035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.277082519193038 0.278745217071903 7.61536851972373 7.84796744589678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.37351450808675 0.374787105409282 2.73672033501138 3.18585379849669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.281773253893803 0.281645631519184 5.49830353586403 5.37720326832892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.245073062099748 0.247631212507548 0.18044885354149 0.191296830655722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.360044272592813 0.362931409085657 0.227051448868725 0.591735309064457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.505490267094344 0.507676039869612 0.426324546003 1.26474544498171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.149365094372527 0.144710218724076 3.15568311667451 2.84260298147564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.136040745800866 0.137562451559035 0.0543811367536138 0.0867207889623826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.235570218505462 0.235769859080538 0.140353674990011 0.321619082249642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.393123134110599 0.396265628459111 0.304590596238738 0.912162798435965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.957420571527932 1.96743118224293 932.022276625429 7950.11013758314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.331534434078367 0.788659522598336 70.4821166239343 1230.45837852863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.301531287396655 0.527785586328141 16.7155724446351 295.450235256825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.387336197518931 0.518919837590627 5.58265957953453 94.8800540096835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307097458651232 0.293572601707085 4.81277735155751 3.75232523996495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.251267540919857 0.256216610465808 0.224635837630477 0.351564469246996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.363958833445505 0.368410063167231 0.249912963655901 0.673744829381893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.509026880041115 0.512630163007559 0.446836619604896 1.34654503355688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.226712318851288 0.186290120840798 15.9035914236387 10.2963341890663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.150949232015963 0.172726092043444 0.400234979013102 3.03656246838659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.366876334372742 0.261520865008576 164.93462765469 1.91092439443254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.399089410069616 0.404902651177285 0.364684787630805 1.05120978882434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.976863446029746 1.37904938214211 829.265686611636 2238.19260017011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.481868369849812 0.631016921799366 199.370597691533 928.254041363738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.394634230753978 0.549899340519798 63.8531680787977 638.878658013537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.447274085674998 0.589632532694613 25.3641770375498 412.937854300534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.396859055010676 0.341108959895616 36.3836914294555 10.0156600067422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.316904136441014 0.268316958404909 18.1819552360471 1.16916900084005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372976114074831 0.375783148623596 0.391600490491891 0.953885568732264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.513858480758836 0.51553100444669 0.499121984017136 1.39377903456738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.267102567431486 0.293539264192866 46.2274162749696 47.1162959079822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.194942678181983 0.19325039957781 7.38418227952731 4.45280330628362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.259813231736692 0.279727850914354 0.699221877112947 2.73238641380668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.412780833794429 0.416217231652319 1.25342396115631 1.70872657284101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.16114734190376 1.2090189341944 2161.68348609335 1503.2161298823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.6118338274478 0.528357962606576 957.704780623303 305.944259140819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.57408430890817 0.434251898406988 748.892986783959 100.559504997532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.652700762522123 0.493257384864216 653.226828649127 47.2136423055439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.416561719570409 0.373833748291246 24.6451447507529 8.85893259925615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.288169614359572 0.2890148519867 1.3180867141802 2.9450937010082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.399161424325527 0.383137199082113 1.1258128432686 1.29608705554679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.537585797967068 0.51876279876386 0.992020487323324 1.40388509674146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.623767196805766 0.603003296194372 881.889872621603 939.189990506712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.279928954547626 0.299276933640552 45.1646720222785 46.9491236403652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.282173579659213 0.343303578680216 1.66895222696035 7.7704706424777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.41847233624094 0.450668587812453 0.717400600915199 4.0003872262106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.621944408450554 0.769511440693529 53.8922026409538 192.974549192625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.302579681850314 0.350065902396973 12.8832521104091 24.4941136984024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.298403085866213 0.326580901380991 3.79466037799591 11.2292265607087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.398629330491786 0.420213889673106 1.84148488982724 7.70116470968769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.687836552761075 0.768602545144969 107.672173751586 216.476565242385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.336173884606354 0.362473602538518 2.84144561796036 7.04562801832271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.419889977451951 0.420151637266715 1.38632196499113 1.8525431096182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.556181436456174 0.54671549704661 1.31628030149074 1.71363999593832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.06649924146208 2.1267401923991 999.016721237568 11306.2042426588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.413764713015708 0.797816241358713 75.1903156968472 592.108604524931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.439859888411963 0.462050159008799 20.9283408813677 28.3497937331979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.58547677685267 0.541136238283059 23.3896566004207 24.8633220550921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.710165187635331 0.800754368644949 47.1633978524815 80.5971816531171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.312239572203485 0.383320526792781 3.64670840418904 11.3661549600962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.314892373988866 0.34983479467431 1.61881555650315 4.77315961565029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.411321975633007 0.437692277928994 1.00921255239198 3.26839461609452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.05636518234396 1.24701878668949 217.093824128593 551.4990040117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.434469301756316 0.441486460940843 8.99579593875015 6.7092717017719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.473971169884889 0.479994164830201 2.83756087799981 3.62540868188262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.594124840157951 0.585920197223599 1.98205130231764 2.39204186357565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.47582962312698 3.36600298449372 3323.45949061365 7405.45378621546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.903393546779588 0.844792525519717 545.463694685883 297.499284506769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.600251941055745 0.683008829054684 92.9953271686606 95.7567290927352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.643048260735532 0.660703476397772 24.6416493290852 36.2276859960649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.62825438701927 0.603635552912102 10488.1138588092 172.165632629027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.19299225054061 0.280921583295815 2259.39483627788 19.2041033279262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.735753589382524 0.287833515315835 624.277704559245 6.51976696235804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.696772464488092 0.386294672091304 347.902608160121 3.83656942506444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.4464919621888 0.609192370426947 41.3522805631673 285.950933544099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.296673206205741 0.30406629029071 4.85942143687735 4.2032421643286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.386832725948377 0.383909954965707 0.94634861929217 1.22909945553563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.52687671586074 0.519444349046694 0.790273588599633 1.42105863488932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.68649469389602 0.475730059736253 362.43459834366 314.035848276038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.238349335317694 0.328489564556907 9.08852462862657 28.2913374413076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.27197702740141 0.28739768966758 0.86285193221379 1.83160782457713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.424995510688848 0.425145533458772 1.65796842227543 1.47729250624365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.57951535109415 0.682309808599643 2652.93452407703 243.034635897636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.759747394743676 0.272329171630022 677.397232316401 9.80540119687029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.550846838876573 0.281143235020975 238.287712330761 4.07586299548192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.579648590040601 0.382410950697047 148.243164628366 2.63790960165199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.849257617996958 1.86421889466271 337.5099488826 18365.4117237654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.351383890597963 0.309798725249156 9.59816904364091 4.83785876271619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.399160481778285 0.383194115591024 0.944770371005176 0.7624416522593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.533632380608299 0.522326399761634 0.841332254387606 1.37241968286636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.19970734124722 4.10556492999021 1539.67970699349 59102.7531796853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.440314885893651 0.364543842633036 92.2316950388571 63.6878462838456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.316227704676553 0.298333015931214 3.82859598859301 3.47560708629057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.43196434867126 0.453412535086545 1.12136171283127 10.217709544018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.08643437572076 0.7021922166831 589.281499770722 122.487707211334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.53230369898796 0.310576286915558 170.08241387237 12.607606608402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.437098006338192 0.320458500388691 69.3413354253477 8.53156832333256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.501843712547441 0.419778905595368 44.491746660157 6.31189381606356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.97653275302983 0.923202938161795 198.837636551566 244.17443769282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.362010089774775 0.38692151111377 4.86355664551166 6.48550298926259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.432712717653571 0.430980211791545 2.44482902975842 1.74179003803943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.55242416719262 0.559303664752907 1.13660643413776 1.94987860764398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.61056680103569 2.67666530470204 3926.87758981815 4678.71192460754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.651000376506406 0.841989480072028 211.480782576333 865.883886951434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.42541541198082 0.781536227537793 5997.58344312163 574.134221623552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.595234587308206 0.707858570652925 17.0997557891252 307.211899192644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12244316507657 1.10736012443175 79.2162126615908 59.709868362581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.545325097090246 0.483851415357413 23.8452663671399 7.60596236302019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.446242908645674 0.403530665079001 10.3225221702046 2.84140234617964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.504763830650695 0.472598022609508 6.68433691552802 2.14482581168387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.3533641959664 2.63917924755114 1299.99759144008 2008.87899726815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.659386160362481 0.617804990184024 23.4341603234851 14.3775567268853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.562346453404792 0.545057149698266 4.93942609531713 4.34210733262215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.651744605827415 0.656764676691177 3.21936682182935 3.76880366640804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.78948271995588 10.1200573302209 58588.0846476422 99253.967519925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.397464711363 1.59228814095289 291.858929913305 474.750821372898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.883104851189994 0.895323718756154 103.266047820889 203.672876280624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.898861094923678 1.15107765169802 191.983882780632 1347.29019956299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40878448226418 1.3336609993993 53.0322149220244 30.3194955789446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.667962691335667 0.6111239421917 15.5077339600351 6.81244076292151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.519204974560057 0.497285268809982 7.30865669617117 3.49198224258732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.552952716830969 0.540012689908418 4.91218524608992 2.5548483140001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.13818385756428 2.33092741578998 1105.13513648865 433.111874406727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.839851404815334 0.804521196760482 28.6802761877853 19.6951723099647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.638022954275086 0.673479741134851 6.55376516251746 6.92383049505745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.704920947885523 0.750519725591798 3.77968779845944 5.16987580137021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.3732442364161 8.44674880773685 142124.431695307 48729.114761507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.19105343760834 2.87978680819498 7819.20702307366 3297.11305790288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.66623881982009 1.36910228852679 988.326702555898 602.107975279392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.2445432457239 1.03236572329844 255.277741946133 82.7248362824541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.335794734814016 0.333759000925027 206.196765994855 205.586652093562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.135095831065647 0.135271808010907 2.19608257622128 2.235589667134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.193573122325814 0.194350463968017 0.427484974796333 0.572841374119578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.291564733656153 0.292247885771498 0.205052165166032 0.495497303713262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.222297621458694 0.221748321408544 3.45195383107313 3.38919872118309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.200397252985246 0.199840967905893 0.0718421045568461 0.145773627125634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.300771452578713 0.301291940238306 0.109368930990724 0.392094030230924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.421700700913637 0.422486988885241 0.209530343030166 0.759671696779771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.195709803018241 0.252255018076049 16.1364048488737 94.6007550806058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138138623283001 0.139301774893818 0.0224393201323045 0.0952141802138664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.27200130546919 0.274012136010421 0.073064165008347 0.358016937921716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.410191233662838 0.411508537903521 0.164138978484308 0.776922380406846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.544666193354462 0.900877318489978 358.700599868227 1778.65742713632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.182783017654287 0.339814014923124 29.6033472767403 301.327548042735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.213030761599617 0.29919692698391 3.90568512617237 86.3571375395512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.301459548010396 0.355341905489457 1.04789381576087 32.2985646662118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.232965370083659 0.23407407142526 3.24481508764893 3.01856676917779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.204933887513203 0.207589223590705 0.123969517784459 0.37493019956314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.305671534459498 0.303119205713594 0.249190961502486 0.402268358894666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.425668511622488 0.423561077620443 0.339206609309257 0.763194241193663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.318872876596349 2.4784557119334 79.4717321549424 88906.5640845796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.143853436206946 0.145195378088352 0.0917685923737716 0.145941153973316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.291195488391776 0.276565251637032 2.79149657748815 0.371767500690566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.417426943527775 0.421234763032292 0.5954138920271 2.1705121606298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.366703359896483 0.397758431391682 56.3637351347129 69.6098557258165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.138778304869891 0.191977424682284 1.46433652330874 16.2403710545018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196108401211774 0.234246423442066 0.319656907161995 7.79757689973377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.29360058091908 0.321333533215815 0.185567623147403 4.37020694985264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.302204879100303 0.278055937434556 27.3983408978981 8.25604326154392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.212417701062072 0.217833617714271 0.317058515236056 0.540151498812959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.306928255618644 0.309811001940215 0.205522032472438 0.504850729688892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.426992122880482 0.427692258807513 0.294144841712659 0.81348797371448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.405029035056546 0.749185456169085 147.250755583558 2638.72903981007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.154720401041076 0.165317028106468 0.394017687580541 1.15339330245755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.340551493971907 0.327995086384718 56.1260720399927 14.4203958767803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.419954622230385 0.422814921133433 0.415139079106911 1.29814026837072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.340374548336301 0.436846682955364 28.3884346434328 101.416335475928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154237685738563 0.217574208007781 1.35007528984672 35.7042008900312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204470075546779 0.25272962422219 0.468758308178895 25.2197033595666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.29917457546204 0.339616726483841 0.34212405743961 20.838823246932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.37080765877416 0.376477711642948 33.801135872533 47.5194837616961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.236488204865703 0.257481870390727 3.9862404245981 6.73483486298165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.316769893122481 0.323641378364341 0.715798505684575 1.03757268699648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.436242834804033 0.433594313848065 0.630272050421659 0.92626949296878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.09776025363593 0.710395871270439 5079.32561023579 2187.17020612528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203506787314509 0.236973625986185 9.928750240139 37.3803230233003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.440791091321751 0.306086050615707 331.785931812742 3.00511558247715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.451227526008405 0.460125254782829 9.2620372964341 15.4446189277489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.521187963310204 0.635388698329763 62.689170366275 156.224367041351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.230491553357434 0.269626424624538 8.07666435237713 9.80316618892848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.249232488192688 0.278377656937865 1.9624935186406 4.95301148197192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.330894018854732 0.355643815373224 0.8541074070603 3.39862752904656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.951732421357975 1.44430318484708 1431.70849811309 1233.23997231902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.367761616152011 0.399597517036333 14.6649838209023 20.7995490085063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.378334688356384 0.392073640007362 2.58358390310707 3.52972248718493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.469801099329697 0.486498233297029 1.32935282844248 2.41001139537823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.40729368607082 7.0519200896457 6739.70113594602 171094.997459618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.958653161677943 0.684874920177255 2250.82209352394 257.331195137608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.496843824409974 0.533928892348618 73.2139352183976 86.3242594428242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.522200853059098 0.623091545713402 7.63305307152085 287.760737464779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.582028611764267 0.684108725278479 39.3613152312742 73.5255632259233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.296782607380686 0.34238792247405 15.4368906416059 34.8278109112556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.295354677753357 0.322222243158533 6.95472573986436 13.2022595419047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.364536636443564 0.38598328150064 3.23773525110633 6.11966823086812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.992663189671944 1.17008526786146 176.522663401894 228.017338335319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.415571340548614 0.435363411786754 10.5976057365606 10.79043012548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.424545366724308 0.457802545469439 4.12625980445915 6.38651208974081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.505976889595066 0.529918328481286 2.20800540673159 3.50503935685083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.96078079553943 4.69713603243551 11982.9846779861 82028.2544190318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.741077304715452 0.853537591722582 247.752187788166 722.251886701946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.609808016641612 1.37374987478416 87.8185457931702 7691.64271958579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.704854055738248 0.713545463717624 49.5121105737888 109.754560330088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.332135127734274 0.285313644488972 67.8253742241688 26.751589552593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.152924094769896 0.13597061271616 2.11280317962399 0.341762130335486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.204811693701915 0.193959882223087 0.484483641305187 0.21134588720514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.300833794830801 0.292797538732161 0.286415318093934 0.402710283648642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.556075302063305 0.355988457218858 503.508099100027 142.291900058707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.263066926080257 0.211361940343676 7.02615751945079 0.229393408235691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.323150794894858 0.306952293883324 0.90519963809597 0.428304080829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.430827449423508 0.429641716931414 0.378281478937695 0.843826119228405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.31127873808154 0.612207690684242 48518.0815932752 818.727712500916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.320934547299635 0.300332482962817 76.459685557502 284.700147286873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.301355789244895 0.304418067569172 1.79888839462635 2.53241739168974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.41687737772392 0.418599127740555 0.25330926504719 0.917980675782924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.379267578817481 0.342200140417178 82.2998449154709 39.3068094493752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.166483911155287 0.160031084676185 1.76468426068104 0.708383500710786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212201640293793 0.209237999427969 0.513252566766073 0.439667365483887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.305828382850367 0.304084176649868 0.304606148495847 0.58159576836095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.473708268964996 0.489582015728452 75.2486026894003 180.841390072601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.284702460869783 0.247805768276341 7.0173992157697 2.23733152658418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.344651947647061 0.326103238972089 2.08535456300282 0.988632047249487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.450548378193881 0.439219007736964 1.01917379835301 1.14079877635905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.05675437559966 1.40581700532445 1059.87705051278 4762.18204029302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.386501071647046 0.213584740323746 87.167722538731 8.3395167043527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.373587285690175 0.483070969938059 20.3958340550246 347.839824670141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.44290442808369 0.437644453950617 2.00065156005777 1.85218766758041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.471871376512898 0.423233228474316 26.0531052601876 12.140898136737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.218815339851617 0.208466536481432 2.22334451947001 2.07623191102516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.245717445633936 0.242242565852478 0.858164070666088 1.50453611779456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.334066909308078 0.330537628180477 0.691872232970006 1.26194386486188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.2328667750672 1.25669379632394 2005.84623947194 1383.04707194712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.343319257454575 0.361830776352096 10.0017580145559 10.6491153837912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372223525586382 0.378182262681523 1.8908952177268 2.67349699611005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.481277261576499 0.472607483380593 1.48013121869008 1.77209487504751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.60851587051411 8.38171224291104 493693.242605149 532459.874482248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.45426576215658 0.834074455121544 96.6002015292124 1471.99920082481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.833381198247103 0.563928568025634 2520.89467944715 277.212526836783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.498934975460446 0.501243171656482 7.89035349179914 7.33275522295546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.974536064834178 0.878410475346631 38.6998037030605 17.4103216289003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.468668404248146 0.414510532093654 13.6843883561752 5.37228828459784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.397998530243319 0.363016894961634 6.37918734871036 3.0515863989361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.436647278553334 0.416247840869707 3.51285217086317 2.25443344244568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.05758036480494 2.34576432197122 613.810494744932 1633.91231745164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.691276084703627 0.677780049019651 30.6886004914213 31.639156287398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538850353746713 0.550481797079087 7.65493929024002 8.73751602608915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.583273073419216 0.594143692446947 4.46431360102789 4.91739429985859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.70199925631734 9.17323404082146 123199.628890669 173514.533581975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.80153098586805 1.18489947204533 1888.01709446277 360.591642976445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.04278078437911 2.4105955481942 396.137140850883 11639.6660082558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.704341577693156 1.1587418781154 29.1538914073249 1828.62858303824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.35345870205287 1.36900447333682 58.770533807211 45.5982916808586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.618641634514055 0.646353937230201 13.107759127242 13.3256658176008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.491652442709967 0.498657906314683 6.52396032493413 6.18134223515482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.508198369695082 0.506844415130916 3.95794929231054 3.642017661189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.95106373432129 3.22165811148166 1109.52756102571 947.757655378583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01815817181725 0.984764605599007 60.5025634747498 59.0852834592196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.698397929813891 0.695122635352842 12.878839627455 11.824851887874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.683633656446681 0.694985888478977 6.46906956606718 7.02183851605943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.44422503241421 11.4964574657799 36112.4971771015 308509.792705784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.78120591079313 2.29400371937985 3039.52300937564 1389.37059936132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.26400889159823 1.71659778710492 12912.7582426094 2609.46031589243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.19171450102744 1.60172758325624 426.654671683517 2355.12382650463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.250972320724874 0.251634807083767 0.387486272788002 0.336020880401767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0936545988449188 0.0941884935370228 0.0454284654018586 0.0472057937354755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0684404981535392 0.0687436061706235 0.0182794430885271 0.0221358784577583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0755801631711338 0.0755751708466658 0.0182826013396578 0.0259876447580887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.235520875411103 0.23538793587054 0.200886465609595 0.182378210530619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10809143344901 0.109030947996455 0.0468064046445634 0.0456953277773649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.126834270394732 0.127502238898236 0.0574870623451837 0.0581136046036501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164158363675336 0.163867447269938 0.0855416019038776 0.093012964752953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.1599457997291 0.159102794344278 0.12234152363523 0.126889042017089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0508640017688781 0.0496987420168204 0.00836232556881875 0.0103918689131419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0640300455133084 0.0629941818867706 0.0131016265860066 0.0204878139936803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0945272737783566 0.0937660003770205 0.0263638042801352 0.0449277760006928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.332957225341597 0.333416801251035 4.15730937276834 3.52613039224407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133620978031608 0.130731977658453 2.48417396891023 1.82693050912658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0939800968585076 0.0922953916795212 0.890120156615712 0.993242014289506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.093848920416953 0.0922612384459185 0.427522973467339 0.570703159351236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.790928040110751 1.04380911747839 2590.04463026967 5077.57425734503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.369153364393098 0.397197740424813 701.468436389477 645.903574575161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.277097663850122 0.196900030670805 142.887516984111 34.7271308850274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.226477153974326 0.184196435853909 18.4479036523412 1.0202865565703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.89149638531575 13.4054352323569 33006.9139660044 5017743.50438703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.360948970397203 1.17804845650023 1298.17265792416 21556.9552732328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.106430802032292 0.362856995214878 3.6893358134729 1219.6691021562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.152500896760607 0.16550132426032 10.1513300412313 42.4091472270943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.436769358077733 0.456655206133424 11.9694898402485 26.9555900835849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.180829537356066 0.182455634847231 7.1975812576858 8.52520849723643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.125641597101331 0.126666651971373 3.29055136793573 4.48723538732374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.117392659178861 0.118445046933109 1.88860482653134 1.95136122372868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.01873527735377 1.18911324410846 2197.29660178134 4245.51981818284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.303424622597098 0.36883930441266 66.0648034879279 129.767449181323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.229385764589446 0.270521441065844 17.9380075225066 42.8355846231665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.224032238838717 0.226942581786085 4.63704273880146 6.78230113830834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.25114932307171 1.17208605212749 6302.38694822295 4804.56059998849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.651055094398212 0.330291586050984 2070.4965260973 197.953325324701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.29830665346287 0.840382202564202 511.813016697165 9639.66775893478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.27068084830446 0.31641898892386 162.35985061811 118.015565295541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.654508934466956 0.687738828264462 65.3021215922085 67.1142922061549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.251746068502629 0.293006643842298 9.29369460212725 23.114518798238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.16801610432203 0.204464650273289 4.71558850759609 12.341370463624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.146384936214985 0.17250202325737 2.55134836140661 5.47785754837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.16839568437763 3.19800403365766 4658.51131419668 15819.7914398131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.535786250759514 0.760135921807859 240.808499228219 346.925702458476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.301244718631105 0.483918103856883 37.2466654775924 106.782126891173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.246655128956699 0.362607973033306 7.60169240593088 31.6098972147231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.74957933832817 12.8635538868108 380514.87409595 1424079.31773732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.36989488261985 6.76257719286735 11060.4037178293 1007669.27846731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.996023337531331 1.57001804526306 2846.26096853021 12950.3590248196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.511210776222258 0.970472510676607 361.227620979032 5469.17251869796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.33727862342245 1.5260555636736 288.996989481313 1601.43891136066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.573095924608875 0.714276764590054 84.5872333079806 976.131534015378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.398280389299624 0.443778136840165 54.6943923684996 203.759550652192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.32397246551058 0.326935286715977 35.1679930880086 38.8600102842749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.07113466174614 7.162699451491 26354.8395573443 88236.0698548421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.47406119860681 1.377527799144 1397.28849498941 1144.81279271409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.69236930713079 0.757504279886454 120.925080484577 227.482792339397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.477989898623577 0.533425616045485 25.9644639838152 37.2290146974027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.87853835070336 13.807498948209 116480.178358716 514975.579902268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 183.125125985731 6.81589902099637 1379226359.45234 366754.541102405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.38767604327944 2.70237751340934 1438.12373916138 22355.1888728929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.84077589449392 1.92340012937217 41623.6532530941 7955.89638233081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.12500864540369 1.95319846132503 1109.91199706336 145.509965988456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.03066109258697 0.843083566390681 625.262912781665 49.3528222789427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.692778945088572 0.576007554567785 341.755986761817 30.0926026193167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.515495043269838 0.453647877402448 143.144161060002 18.0843961855742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.26674136787834 9.03017872956112 30251.0122339881 50020.9453570951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.18074364900106 1.9815797164328 1532.45511380464 1051.1813539788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.12332427117866 1.07096371371652 239.757710803289 199.263022905213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.703728732004664 0.727443029170615 47.7886359437477 55.3893807502253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 39.7886928508517 20.1668696192917 20032892.9702793 725800.225341062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.17253886423582 4.12281809850754 41634.1405459695 12848.0666531503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.37295662112275 12.5913366227858 2364.59931322177 3043199.9044286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.20587100164029 1.8157129617585 4945.29476995613 3438.95985599948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.578255122683482 0.570159352785805 39.4220384636694 29.9943324416373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.235858325106656 0.239234378545564 10.4239309652781 12.0270886543516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.168321978270709 0.163465366743316 6.63736256704853 6.66953785872287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.153526870510773 0.141633023860404 4.56585424068556 3.06968558600227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.36689008246111 2.37288757448427 12194.4158562622 16854.2793742476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.601269941559986 0.583235204469977 379.319613772853 405.499263392055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.34263464373715 0.341742469889391 50.7221031783194 53.1962481950401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.282234878177617 0.275310683140608 11.8037842582132 9.22026246136672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.93149443879902 51.827423423257 37975.4782609597 90099135.4755111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.42549245482844 1.76675836520182 291793.526145658 12964.2069830546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.456132428661885 0.87071283758405 261.454462395091 5444.26310749997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.461110431314488 0.585585274477419 343.137395896961 568.021423467374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.20889293413329 0.905091387495824 1298.87070245912 103.072398446164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.508074580582509 0.375570820497356 103.093294956671 29.2967757465834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.339902955627811 0.252959684957284 35.3342377405669 12.785786651319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.277373724798316 0.211631020553181 16.6830955349662 6.79361297801569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.27140946913446 4.79905664213063 66739.8506476383 44026.7657186635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.5861181283869 0.863779790857804 4904.3457109675 285.686441054937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.676345905930378 0.47899627836089 215.284522210507 52.6685848010858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.430252680931328 0.398022550936765 27.1296492970861 26.0720858844496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.0471860110184 9.71453237335126 1547021.37250832 225329.245644344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.02440051607713 3.30334366219862 80083.6185089597 29785.6532499602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.900294478336396 2.01566647571937 613.267388940833 10877.9844937715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.18269273903939 1.217752436394 53449.1962585752 2508.70090171445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.49824072227249 1.48298451781661 155.949000012935 195.50847635783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.65032354268216 0.638404734822661 48.135892744878 73.4982433226061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.428244924254165 0.440424932926431 22.9339639285008 38.519136094892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.331337905237202 0.360813409861381 11.6883415789191 22.5023212079406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.92222537309427 7.56539097603874 18949.1986819691 55885.012070128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.72598054571524 1.96063447693011 1589.70652335651 3045.36958447104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.884817593458784 0.842247877153929 258.011381997073 193.743995808207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.61777537218534 0.555387777531617 95.7722953318105 30.1070968269374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.899403663256 33.3835785956255 1090056.10424104 6872380.68235801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.10736485012215 5.43214457741646 134253.071568065 53309.6045292359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.89163995096322 7.72768818299221 2895.16618703098 701564.925483525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.10727821750705 2.13211588015594 136745.545866537 7996.96827338063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.48545363835427 3.1695918656532 2528.51146363418 266.401178755698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.55074760890801 1.42211845033064 533.143167427484 80.4739222297757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.00586683425618 0.986665815310905 77.8070947971685 47.7397619337061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.774427560136197 0.769675011427248 41.1366854459389 29.6988676627993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.5324594516377 13.621644158355 50741.4611004162 39062.8934462532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.60690963079723 4.63179894386644 6257.59784659318 6054.8782589709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.18047405573615 2.25041089703008 1170.71272155362 868.186883846553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.19981861820469 1.31432318094422 199.653426300894 187.543808887958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 67.5720042435795 147.189436977337 6438744.44467866 392820221.797967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.8598845492203 11.4401418796226 1918698.16190044 78115.5593141675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.23765109946298 6.13085633252728 58151.5862273822 45608.8449736322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.96216512669074 4.24137570126687 29960.7193264552 13846.4089553282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.74218216244141 4.6126493848918 604.289960716163 296.644011750338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.18561465967021 2.19029868725961 137.972136981439 137.988778347492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.49833388840714 1.56770682640659 79.9640515666345 96.0066652418094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.1522301025537 1.23082197615717 50.5735724041198 60.3849159285391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 16.5757551393053 15.6117854538115 27079.4188873762 20337.9714472348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.07561417000256 5.94561293124729 4209.23097932836 4331.60124282599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.12271745078986 3.25218528863699 1177.73722180842 1139.63455810492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.79538761573513 1.94408240380214 221.924617040912 253.55273720465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 951.863758741216 51.8649018043157 33292914318.1078 1500737.8902152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 15.5500256056534 20.5327544429231 112894.94439337 511885.102347503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.400376846414 10.4470005282707 328370.563610183 107933.82170836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.77435819352965 5.77839181324111 73236.3713102241 13107.6902082771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.619898496608031 0.62060288851488 47.435318486989 46.3179500589972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.264920394275118 0.263643084938894 5.09728437732653 4.63499638057608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.24844080248553 0.248363141864424 1.43586002442561 1.23312347399605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.291970198801387 0.294476210878041 0.823203033204766 0.695032874416111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.431680164695594 0.430565027419351 0.803551325785164 0.617630205409175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.364066211563343 0.362964772499866 0.589761382358638 0.431476848219898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.44447014028046 0.444189131722438 0.801499644989755 0.551225353317398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.519376826344714 0.523438109827385 1.00536853042356 0.693021651253805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.27332838215169 0.274634428439993 0.425387455177553 0.459440438624021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.251975573613729 0.260995507482194 0.437306059791712 0.446544672008059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.841812641998895 1.11136380297244 162.791222542293 2326.77646274193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.18727620054562 3.49066688048863 3596.78389258128 23096.7872688357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.841007384497481 0.687870852254855 231.72959598745 49.1321788158267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.343160827940011 0.298055775493518 22.8459934322086 9.84354162201894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.291373312101105 0.27277324774537 5.95695690911729 4.12153985399735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.321384175305063 0.311465726511183 2.78177461002209 2.05535347535147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.579536724649731 0.565449520975777 27.3996769416356 19.7396961452542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.434696353624124 0.413501796970214 7.86523476172295 2.90774957299223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.480661951586644 0.468275806073692 2.56709770752322 0.967828446391419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.545710065853412 0.538145360668597 1.89686113553946 0.873159797740746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.436458646862825 0.38621283086428 20.6593292048322 7.4600412143237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.587862568659671 1.02059780081264 2050.64359285917 13222.0700128539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.21913428018023 1.29841570211899 1429.75560212684 2320.92926296794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.37578603713301 4.19293911128683 86092.4569376607 25035.2619321124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.03033329772162 0.811517994234717 701.851655879589 130.148980713068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.371222958190443 0.352527622862697 40.8145117637691 14.0478193078103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.302396264418931 0.308033395941872 8.04955153492942 5.30467840091413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.328232750401566 0.333714956645998 3.24819773331896 2.32515302759691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.86478355240306 0.984491079575612 357.940040396595 384.397378856643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.473064421564378 0.52336766865263 16.7367243731342 18.6206159992903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.498994161451419 0.521892487541785 4.07841129678642 5.13421776888376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.554669537308222 0.567702796574089 1.94681933727742 1.87112274995172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.53316600502438 1.35032662521018 4355.07585192564 3000.47227780692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.705078890075373 0.957322834899222 1117.62701526666 2066.343869321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.10812571391236 1.34029653507537 15828.9124723214 568.562669094258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.4926360849497 12.9289184432689 409209.231886553 2178049.52214213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.39761618295613 1.04393750840378 3181.01903842625 312.88760600547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.662026295020963 0.451549217581268 1750.3497614562 20.8467474154586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.416080649836899 0.358527041813715 183.704901723674 4.97531790005101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.385413475834877 0.367415319525642 36.1862342980605 2.26232502149103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.54845612430426 1.83248637551249 829.04227018936 1493.08096646614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.593190117244865 0.730392336587275 18.3750602201518 69.3624163985895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.544589102671173 0.591511038056955 3.4675852934764 8.26662483328695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.581086452041158 0.604586603591903 1.92669222376665 2.59907270437009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.46203383155552 8.4912515847081 87938.3235832846 466992.371920298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.07010235778608 1.25979921779168 628.197914962449 786.17248328095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.63849240328396 2.65631802468002 38542.3538426284 14544.6336487603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.49171193803511 3.61076493151864 3380.53326145312 4619.75562687377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.87395494160847 1.58398880436858 664.40401176874 100.384763176345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.832630961652177 0.668594487254725 217.225030275947 21.1071923800772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.585394920574726 0.49258801219484 54.9578139976404 8.22161229025949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.509617661629066 0.461344118027935 13.5789176676039 3.910916914527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.96613153107481 3.90513583746124 4857.54408641328 12962.6720195693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.20341885647294 1.1108511514731 135.243058269626 127.457752435806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.821565512108135 0.787926265468527 23.9520139772096 24.6904141263842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.738764543204671 0.736516548192772 8.79171132847061 9.0613399488862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.6070719424188 53.9853476014313 1891741.5090504 45676946.310035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.98015512106189 3.36031704070422 14191.1957005917 9977.38585406089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.75646366286959 2.6582749518384 16102.8626928939 1827.36960944275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.64243371116007 4.99519617243306 12113.696838366 32045.2630504491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.38979521373027 2.32274519365992 406.67898592429 251.675650700753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.06674769087088 1.03600186585255 111.478627862652 66.1983460515465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.746570874303826 0.69784021824817 31.5487679506566 18.2536865518061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.627630059139089 0.595058159564828 10.8503383611682 7.83066649617622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.2833985379153 6.65942531760473 6896.43856333025 25898.0071926925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.03110895945322 2.10167080853608 824.677496832229 4828.71493181097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.16601925650227 1.10387403892472 86.3162766083412 170.911594238189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.89671920641893 0.903156029960641 19.2478194130694 31.0779032487481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 28.3350767314586 24.327134551359 2988732.50379258 836768.396924576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.34078674881747 8.0774395355846 35698.4023440573 119158.352562308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.31096213949442 4.98789969398474 46679.9578814465 46593.8972070241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.15207841341535 5.22692631630534 32511.0486911128 10926.6966494465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.962432557067315 0.978259723353042 143.244252352004 108.919981687012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.392403444625901 0.401291245994501 13.4902558970388 14.7101280719905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.325115195203529 0.315982955293536 3.62896557075407 2.79588132817501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.347227384730986 0.336977527118391 1.84363482945603 1.24600352646972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.45556970767382 2.07324839710665 1119.334990908 7462.85765331677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.635423821712355 0.634669834879387 43.2040452821018 109.155468802441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.570750143605495 0.535079808264252 8.05940487392625 3.43594939999536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.596152941497252 0.576173294956289 3.36415967089613 1.57078513580855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.70691992396807 258.499717071851 146756.359672773 1930231679.68534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.37514378927471 1.23355756697152 1972.41360691683 1050.97660298775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.3799046129703 1.62511650852244 469.187872411318 1509.50418956415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.24338292686169 3.00964162909044 2126.93523549516 1306.34457347962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.18226423798728 1.35613965897409 119.014477886477 333.75285282455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.494872316042842 0.596134825652212 18.5663124659539 60.6393906561592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.389664384695559 0.437533028572137 6.6995942731165 14.0428811585548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.392343212796536 0.418174851012126 3.28978410216109 4.64550937155436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.50561273443504 3.47821513245893 5561.2520286615 14915.9044860358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.945657928248596 0.860133133258467 273.745730906092 154.874894384085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.698075760088996 0.655142206708472 34.4782032434994 12.880613957936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.648446495150069 0.645252189351946 6.14488231657811 3.37982798956647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.9005692446536 21.5813701770569 779853.408648797 5074996.80750981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.20271961705549 2.17273418250845 8433.52717640949 2545.12659028897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.42427665837954 2.83370933547589 3655.103589877 12406.5292346349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.60402477707837 7.71479284267151 88506.1001996185 330144.885698288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.72080749939025 2.03576055374449 140.846428872387 1588.19615468974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.764274548364141 0.911919567387975 39.6053200193073 454.087624662596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.556625131296275 0.627568516690217 11.9024014664788 133.741481089135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.501360794597255 0.523624323388062 5.56744179553293 14.5940017070878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.90125816586465 5.25613382519508 11297.2110039875 19347.2146037623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.40025525749211 1.57857925616914 350.63685841644 1282.44122835828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.834340384741366 0.971343896381677 25.6623466489511 211.514992125326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.737198788704678 0.780990646393967 7.58903946220225 10.7486900316227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.6958758017785 36.2663959919 656709.890438017 9832784.14418785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.25968650014847 4.80103268787001 13583.8668506624 20547.2789114762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.21418171471129 3.12532614843184 3460.34419792906 9537.28906792853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.63100162332414 4.3060754911054 6847.77489445669 4424.49210261093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.52524893081404 3.81722626592559 252.458343948041 600.795181744975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.58555846308025 1.78164452371289 67.9143549586205 309.836103740575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.0918783161468 1.17915230935909 28.4951803159651 125.477495903833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.884765670136295 0.90971723862896 15.5174206376823 31.9651910627253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.53944902413918 10.4961548819132 12301.7278380903 15442.5057146857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.86983145412145 3.0808155304998 753.835271130936 939.687295903159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.57872642292314 1.62131822294703 110.304717285064 122.113080574686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.16086590212251 1.17928804453191 28.0788436844095 27.3642081721866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 34.404253498891 85.537779286784 1782955.32408585 67279099.6590299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.0381619494635 25.8665665878041 208057.318698536 3053430.91373936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.47619625669042 8.17432835180295 44415.9759979324 69548.976846735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.1858682466107 10.4133169159303 83969.2691989263 111011.350213893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.17557935011673 5.05661697048816 451.422877184422 295.805854665045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.45902864900682 2.41058996149026 261.13250214304 108.091818228059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.67899885491885 1.65191691778752 145.034146105611 48.5289868393527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.27240763242306 1.26985917700993 48.4359802069237 23.3284485761451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.2364878931169 13.4562485657903 12587.4584022584 12510.4166824594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.43068876979904 4.49805211253788 1543.04656612992 1609.99687506717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.28539098469534 2.26954695911277 253.527736789476 182.564565288225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.54630366166215 1.55441811028706 60.0547903338753 38.9034310526435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 45.4533425826052 92.369367866286 897978.909546845 27849294.0696414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 94.8661466463703 18.5894919117499 143131312.895393 287761.124968227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.95184355787898 8.35738549846672 24272.3700127055 17658.1794189109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.58013905147753 8.05112548324319 15762.0264681686 9079.086490122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.338108260156392 0.339645483175213 1.71836148884933 1.65721716409505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126905639680031 0.128286765384563 0.223558000202759 0.206743968051306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0964623880818999 0.0970103741424317 0.0907701747555672 0.0764765491367287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.110762990705402 0.110246491576283 0.0805167890086673 0.0587469463610086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.258753127554244 0.260340847528622 0.319029895324891 0.254602918813983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.144894628620804 0.146661433327177 0.146620980820144 0.109399336101808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.172660753321515 0.172848501008753 0.192512341469317 0.128735932226128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.219684780418742 0.218987025553139 0.26207885033795 0.172490706526717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.168709545281703 0.169598127377951 0.145460109406831 0.149896992456221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0828677565082147 0.0822035829701905 0.0506508426880219 0.0331301678588591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.142080663299935 0.14210837165833 0.218992173113529 0.167694130001997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.259045095103596 0.270386237692543 1.07709174896011 1.13275315186576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.421476478798873 0.391297642989735 5.58128130149902 2.40243618368279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.159423373661297 0.147392937200953 1.12445280697976 0.447510520235545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.118719396665985 0.108003401917918 0.836169960421718 0.191454705372772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129401590926478 0.117567260294215 0.958846140956724 0.133167618683192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.569762140082292 0.376156925922952 424.536569654141 9.92652076109892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.325031680102824 0.188635193698548 136.56535548166 1.60674334821912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.241954522057521 0.193465178817218 17.5364705520308 0.549896579999098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.254919529997955 0.231367709509213 3.93159094558279 0.349082168553025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.697949348715182 0.469567339837089 2211.18885072114 1016.77783381811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.210571203363647 0.358651581977641 157.7588336455 1270.61894489523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.292764784324117 0.176169042404611 124.520066328624 1.7280992995212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.441842628052307 0.340906554795764 415.10979477273 28.9432237722767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.685167525320493 0.543352151778959 284.418675192911 82.4914195331053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.300373922209182 0.196102513057925 75.2833007294339 7.95336684852125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.190449492069128 0.140010020094059 17.1114371429152 3.73237641077317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.165787237871149 0.141194934532917 3.91651227448606 2.10713113663402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.66340799647528 0.525619561952762 171.210538625231 53.958495050018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297917255456411 0.247515929152553 20.8239766954223 9.24790809900696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.251944547596058 0.227576118590625 5.85883953251615 2.46282398026195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269574028002961 0.249183816393117 2.45781586358451 0.803852282501143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.454049474911785 0.390827182446299 109.321079744367 40.1713429127943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.21190277271048 0.209621569530074 26.6200329747545 18.3239227994484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.281416628655122 0.300933836708767 26.912074039813 23.1910367632174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.338534447856067 0.33597136624379 8.84069457778374 4.39348970238738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24771057718159 0.63626099607821 2931.79930924198 30.2607370826436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.491999008759844 0.242932580992169 365.855530441932 4.07753795213414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.277013569197478 0.172148306310069 61.6561098566352 1.93337740692114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.208896664578083 0.170591200331288 10.8087019971465 1.78157422838519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.2246209020287 1.47096247484756 1042645.36016984 4040.55230358956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.09474495227792 0.644259154402257 9833.75737254803 694.502335941617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.315638635672071 0.471477549816681 20.333261126938 249.601546433346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.302713046470076 0.441138769506523 6.12835844211665 130.929235618732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.74682739434186 2.45603218856442 7141.55783219805 22686.3239565937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.60625020767227 0.874352132673863 17674.8759380728 2897.50965030186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.615520816574995 0.405183708177431 663.666314312399 73.7537677572377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.854008118105079 0.640757742118252 2082.34952367331 364.531391152209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.47820211436153 1.62976679102449 152.322690754327 359.425484205692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.614974548838401 0.774215299786285 44.4151023807126 227.377239241009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.432415536159854 0.536802600822101 30.7725946195753 122.591963272338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.366380110880997 0.401417972163143 21.1743833334048 37.961092648396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.83628706131084 9.03686235611134 5186.98092096963 130332.174889212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.1784366495081 2.54515133917575 580.46376550581 10766.0669822004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.03693181481791 1.25157771941705 2386.53605436188 3256.65325357633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.769171809508925 0.820480691620638 966.384215300152 984.131049380444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 28.8852710703781 36.2242183297791 1974418.10426009 5728805.28728309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.3156427327509 3.50658969419537 22204.3994843841 16616.4877619738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.62995893708768 2.58642466323806 165207.556792062 15459.2706176148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.35428192173596 6.20289081830808 16230.1907133508 415564.059290255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.03247773796024 2.12990984341014 152.291938080918 338.734260741977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.861028364669567 0.968295893291363 44.7967360465932 109.149782541978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.575889493109127 0.66076153924433 24.9205532980549 41.9468407242939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.466176394753727 0.519233776577203 15.9776677332277 19.6152024369986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.4711537893532 9.38864887593587 84406.0552200631 45023.7527036111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.65098419328832 3.04791080763307 20354.886661594 4362.12556979641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.81414680741097 1.36782322856306 2131.08984095589 695.057623733743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.05696095151046 0.861600393521603 456.187350178781 186.998764162994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.7548621846623 38.3651837573758 921749.205168494 5406084.12769719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.16744650175963 17.0513042459811 86727.8902762802 2839293.01117753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.01225168805794 5.08373035490459 31322.8917342037 62678.5484506062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.55046699972332 3.14177570809611 22653.0945258948 21794.1504872826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.699900161952826 0.786280429883989 51.8250338424416 295.652533759067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.294208151818583 0.356369449638194 18.9800222885884 173.265502215732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.19629767152268 0.218062437753487 5.4345103205495 40.9548703928407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.177783841850586 0.178746875553945 2.39323865338132 8.23374802367398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.4936006637282 1.08911936880947 3601.74599794488 1261.99515786279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.506258333357263 0.43146452902345 179.960184906098 144.265970287177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.30511990871951 0.304495910969373 11.0490837482681 30.095953939326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.288434612548698 0.288207145415288 2.66311645947088 7.44394880635669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.9880396292164 7.72471860835314 35121.2049741214 367354.416635068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.893031679690661 0.923807083501432 1980.49185013648 2315.15051981511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.574327005321329 0.415891208933198 650.647245930009 110.67554757462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.653408338923358 0.7037904599812 1735.71850658283 689.468580648087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.992853575200661 1.10672671578275 183.713368107291 530.848124896849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.403474356380589 0.445401940163294 66.4140337921644 112.242374553158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.291582125088576 0.280649370169531 57.7110168757638 24.1699576024886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.236616097355083 0.232174431521965 11.2605517569337 8.36871711937916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.38712290114818 1.98806889968444 211125.884900204 3891.09373413919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.63383839156832 0.733093598498988 3810.63328035097 335.717423417153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.855847816549566 0.44817029306576 775.322267016906 68.6439326750298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.561119562261363 0.332814836999408 172.267470257528 5.71647414486279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 19.4224960592459 19.1319614799525 5569802.65529072 5416397.57028918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.55670031046113 2.79765726765437 103146.438383929 21414.6892906659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.6253602872623 0.806023765417313 7872.10069403269 610.291976415248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.11018666992041 1.41880774239738 1077.71348029226 13381.4587265556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.61601945677973 1.59021887394673 168.691103242512 228.802058140202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.735732112754712 0.649088119563239 58.4086686071777 37.7244494660909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.497560840666251 0.424708741334144 24.3442043041078 17.3876339811224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.388970659128885 0.322697678772657 9.81824171057919 7.05124514525069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.98691045848948 6.30000031926778 41011.1498838299 64273.0161890332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.1355796909906 1.66560193393037 3129.83449278426 3010.63734946157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.97069416393877 0.845745358383466 331.719420562063 281.95002800572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.67248442664976 0.612175488356033 94.7187360401875 79.5597681040114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.5577288217652 17.7696234294661 659002.579308852 1026684.87156789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.58999529750877 5.28724076951941 57981.3529843843 121365.093531477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.94727465807579 2.73678147431166 19362.8384840809 11220.9395619657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.35488513692528 2.23399871650807 286744.814976136 8885.9770459555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.45767519856134 3.44553819522677 722.106384808975 349.325762486963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.55522365900759 1.5511776207065 189.750033006359 97.6754743398878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.996271307619572 1.03607771201086 66.7902835113515 60.2145590720219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.745977605371428 0.790752758535613 26.9303866082301 45.1180439845417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.3005568108167 13.235206404623 54666.679653054 38872.9936049716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.86367571925733 5.39661593361541 10660.4545246602 19038.3149712275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.45739801827961 2.97713637742954 4396.94581303556 7138.23075633246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.44985921346412 1.8261695107046 1163.11761691546 1577.05124349392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 32.4486477482135 38.3144494417184 763326.112918266 2013074.2059261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.1451302960802 57.7444224395645 187989.12416276 17338347.5330647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.59964768376122 8.0214030547066 14093.4538871845 43945.8595263819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.92364806034955 7.93589501296043 31515.0468994498 89167.8196115117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.71252349106483 4.78911397940858 544.926717400538 431.810180863667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.15274540103056 2.17104237085746 122.341221682078 145.493404992118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.49885324653574 1.42980099343872 112.529859839366 86.3310147061039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14667541082096 1.09611845073469 46.2674276841363 60.6622791221044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.671047923416 14.1645367905142 20339.7797041006 23726.3040632838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.11544625005955 5.30499466841445 8577.74016603545 5919.70155731531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.52606198461038 2.86599782086084 5243.43592157625 1424.7141589167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.84340888973657 1.99489764916719 2451.64048023433 745.567493140181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 56.9984692338959 92.61281376066 10580727.0876844 15036174.4849426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 15.3813845290504 45.5005765260527 91504.0603293987 16222241.9724712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.76788720748483 9.84080306245715 28384.7637745203 42107.2605394656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.38078429762094 6.09266216127118 48065.6027237957 17654.9613058846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.291466573252075 0.293448833677787 1.74180761211906 1.74644516093435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.106831351147698 0.106815830113751 0.231923317536246 0.195753704876186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0697541784031099 0.0701616715829784 0.0723247844253137 0.0591003229701588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0697871819632651 0.0705549159598839 0.0491770488057872 0.0372281441374686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.217449110437825 0.21709494610714 0.199185095807723 0.15940815501629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0991706114299234 0.0993246295070692 0.0532537597434173 0.0402815325368926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0979368709414701 0.0990127460619636 0.0673885535094338 0.0480384898218131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119853518106935 0.121849091373559 0.0994076684733152 0.06841758773882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.150627582361006 0.150048008755276 0.414790211324194 0.212271598657726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0566324295931354 0.0572940929157422 0.0180705451953181 0.0129415868165274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.076030275737355 0.0755717652039045 0.0567489732390309 0.0361865419124084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.147229581648015 0.144970775032959 0.975117184632283 1.008471655563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.458078258318806 0.778834789050596 89.2334055818337 1370.34845352163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.220356851059612 0.211606009401017 70.3869701593372 38.6780030081471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.128094022279987 0.117731135355211 13.7289058212002 12.6300319628992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.107999786589481 0.0963816370059588 4.80667879821713 6.56867534506907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.576587825944221 0.851844420903987 1147.6995018995 2167.26529681654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.248144053004412 0.158693296983212 77.0621066395232 9.37504148761436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.171668463100873 0.117178166196757 13.7861306266097 0.159594466295286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164279840112931 0.131467431778878 5.26991248770256 0.100994981648399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.05204076961702 1.70975660299227 7211.00821498199 25870.3586720146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.219808381101104 3.377052684022 133.225132124544 99488.0789918332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.251194445247266 1.85643684373465 325.5857168765 48917.1482664227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.267345125327231 2.06911170050461 128.769125660922 56691.7737035044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.634464460604378 0.728421863869424 269.606887770205 693.610147255235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.328150535613423 0.23336897774777 302.220627597415 25.0378763127036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232268146241255 0.142470396959262 222.366856346015 8.608854527059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.185857392566751 0.121573587791222 105.626759837556 4.21479321566235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.49626912511216 2.59207514195997 703890.945273476 40384.5451782645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.53156471201718 0.818415468263312 28493.3901765734 5640.06794615863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.719553790665999 0.322240985553809 5909.84826929807 282.1307861233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.461029471571403 0.224216080256543 1683.57156333134 24.2692663954444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.47412706644054 23.0814921786532 14749.1538646457 6596494.14640401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.70101485004797 0.371563457108157 322992.41778586 341.694603357331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.38171182542571 0.996743782157695 35406.6944816437 9294.00794260684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.617458463619008 1.23555686345736 1924.95357407227 9362.75471983377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.905061616388423 0.985494196038018 238.060834269773 548.699473718061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.431870542861313 0.336028287714696 136.953640306039 27.73921884276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.310648982830204 0.201329924115605 100.585601091164 10.0352383507194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.250558592625806 0.160545891147972 71.4916269402172 5.21812528757622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.8657351084785 4.38538692697855 426170.586811961 35712.9263672469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.55301429045144 1.04074838765636 43297.3605254102 1608.31331037688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.29775653387339 0.517068278459249 8804.88365559389 252.598393215217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.644826828801067 0.342992335502211 1256.94388297802 56.386025264164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.6861679933142 31.4107152025652 1259860.34958853 7133380.22126412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.35107083427871 5.11537429061997 4050.03130133349 126295.253172395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.44235497753754 5.60821244219167 4708.90538563523 559132.297947592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.05219654707951 1.28991488009983 1930639.89048837 6893.1700796141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52813092811795 1.61698566221712 187.019460751706 258.736759480291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.669005312794072 0.721441768121916 210.321646407392 98.7531354300855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.392948807626499 0.468334413338729 28.3794184151066 39.3883875280877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.290203402944029 0.34613853894813 10.6773644057811 15.4660559447386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.58183731189062 8.50716578039677 52112.7976776853 79714.2122841402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.93635172382923 1.99840948003782 2612.29231115287 1991.54052753537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.936753068905533 0.902919610105479 576.352473517196 291.953589575336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.573471578651589 0.575083463376438 117.348701668273 80.2815949769374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.5079692633754 35.1450917771951 1563968.32160877 16398776.6857798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.68059607296002 3.07637446548532 117916.325985755 9011.91206541166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.34114354962305 6.25991691512485 218744.19515277 359532.296207163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.48845978138729 1.13574360120334 1680.14922862089 557.169861389624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.31201323783875 2.3247151604936 467.231211404748 280.499044947206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.940217182952888 1.00839884942723 96.4751838834369 96.9130865191824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.579939572628177 0.654105803503988 40.7357208919421 63.7725652650439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.433130843840353 0.499596487693694 22.9169592238225 47.806031788188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.9534295969831 17.4686916212405 139613.738907141 312723.16049337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.84892637316748 5.33258049352019 32212.7744449446 45242.8810066694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.13467751173675 2.33784298917067 12048.3451921776 6835.34490506901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.922597082093461 1.11504524125875 350.048083442138 821.423256121771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.8300104156188 464.011326743354 1140086.37747306 5443647747.03089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.56242513670889 13.9828203985522 218429.794827345 728211.958973548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.9418286989288 7.56772137775333 94314.1559715309 195082.683481491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.74985318997158 2.53686150197349 29212.6933698434 13136.5498550864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.652024693463429 0.922297585029642 51.6480446264247 752.7967569995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.242130978503493 0.407545320006978 9.37687798195847 296.720789496996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.155335789294056 0.24637440114323 5.18447635225055 109.804611479657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.134054834994354 0.175706958350081 3.51065157036123 33.5206799862246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.08225168015617 2.9160053027439 22689.7356242355 17013.5172723916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.512383384215523 0.63577439446479 516.897561055536 497.196614485619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.261706712099705 0.344312558623198 58.0063559695812 92.1325758214509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.220390462039059 0.254061371707175 17.8441008236406 24.6832180395496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.37063066604125 12.9257560739566 81255.1380106935 1880110.92414852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.37502010176787 2.04018410139362 446805.766147134 30248.3333088891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.641830742366746 0.416784563432129 1454.69714265559 265.481626180866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.792986483185956 0.394967419784391 1144.29352441845 182.228142192451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.985088242395716 1.32451396996894 88.4893072406523 1387.28572590541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.383533141619548 0.583272991870212 19.0817125801785 523.820558552788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.227528236949137 0.394425097184111 6.72406843827813 306.061138339469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.177312159819413 0.302052889486461 2.89616523099988 152.678954819026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.92776035700558 3.71386503338585 46850.8416756284 14654.4772333656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.11671933226631 1.06826477518673 1167.67115269071 966.96671305092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.515915851856716 0.574572484108656 176.577321404298 198.229650229951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.389878451193005 0.38968120711298 83.0467336966012 60.0968389333993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.1404909788846 12.8043208838065 1022881.1143257 1404713.70152319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.45830608215911 1.90071177220888 3018.76763710443 16335.272018219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.30259826435339 2.21555260234326 2112.71720187865 18448.6601300782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.650479075445773 0.901330192616514 202.583007736033 1501.69718433258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.71661185958472 2.27141307949831 528.616952912592 11529.2289065644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.681057374674169 0.823357470804066 57.4899820269784 935.770084765988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.414332261286825 0.492197445829976 26.9318477970756 218.096798345275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.310324764600646 0.362230128750785 14.1219253106651 86.1647045439397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.9493634685178 7.05057985299949 127109.360683861 61721.4287533887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.38313030133198 2.74500178996663 5472.8541046949 13136.6053391398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.922231325882257 1.1602592951125 390.961149352317 1228.7126248795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.71998689708614 0.627364342698132 439.644945790195 193.564345868248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 33.1427707633486 25.7588327156154 3535790.24564342 9546176.94677478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.30883469632667 15.9757913069503 109693.456619101 1967318.92626878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.74689602822506 5.73590797783647 17606.6327728291 161891.924503133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.68002296026031 2.68010420706824 24389.6755155249 16007.9059949264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.56594375756833 4.1661428607013 458.420823069629 8665.33248464586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.58924999081064 1.93526495346127 202.936062457707 2423.63204847157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.03074418935977 1.27012393527375 121.407727840209 956.518869082468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.767892404077275 0.945153334390547 74.5646428738025 435.838052519146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.5092023468432 16.0578752352496 56449.5761018087 72683.3771256981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.77441413540526 6.42065264666726 8705.80579366233 11398.9760358998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.69028969041193 3.01254034462126 3347.23563050109 2701.41886247178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.66605871876401 1.86495486254383 1675.12663377941 1214.05960639306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 148.523211963729 35.1586395003399 284271877.563125 683076.971618595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 38.9550292420528 19.6831724413268 5653950.49033365 369460.646023717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 27.6612881249993 6.82614983726956 9015765.98420843 28949.5782177394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.47400509043782 4.53023214917373 313146.033794881 9640.6720712515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.14123392679377 5.21120821729569 528.974228252286 449.361637004964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.3185685870154 2.41712904445203 179.446072306347 197.044569663311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.57302710347931 1.6154343015893 123.558505514987 115.553609286785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.19375720769149 1.21747813003454 82.0259517707891 68.4604695999321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 18.2427477579936 18.006122210532 32735.2282093166 33160.2090289314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.43070892095394 7.61453857444404 10443.5104497411 7477.25280000821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.75652625112561 4.11748144763562 4171.09659839884 2581.73365917503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.07404278003648 2.53405363385396 1996.52347580174 857.405414717306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 57.1453268091146 104.524983893786 2153326.09640264 19894601.8515794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 17.1363774220423 24.0990956110972 119693.564508358 376708.614651809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 29.1081559153077 30.2462575535271 3529648.6413201 7435773.58183291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.1598026102703 14.6840169245633 166106.053009737 532097.651800485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.223949224455451 0.224106125395347 0.182143263473551 0.184535356395895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0838098235661508 0.083797831461128 0.0226957727323104 0.0251181199749825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0637749953888833 0.0637300614904457 0.0115457037551852 0.0129811046320066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0738378232764266 0.0737450716860232 0.0137730756416847 0.0166999073502127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.217535852970191 0.217559783078167 0.171010415847878 0.140108082020838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.122025773592512 0.121943066257347 0.0512115294547917 0.0437926987978378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.144107216789997 0.143686665255782 0.0623220135476966 0.0577144888887521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.182273668964915 0.181875187377157 0.0872034622477616 0.095688557366751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.137112354994249 0.137131151134193 0.0730147661601928 0.0656989520243205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0516301685067144 0.0512017066416409 0.00852206562263972 0.0073001463992543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0731263379963536 0.0719766284527459 0.0160354910592862 0.0129749941536539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.117156310311262 0.115951432247821 0.0398777463301485 0.0331183566298828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.27684396152507 0.282286425271338 1.23842407872218 1.99836323729941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.101939614086893 0.109624592539783 0.306216651787966 0.904493588134323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0738582352717232 0.0831217568602201 0.173661289317735 0.727277734283613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0815139088212526 0.0898641771866879 0.156294346609219 0.565679894061906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.42459882382657 0.481790996068826 281.984849293466 301.600329545585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.160250572672582 0.199395074788125 2.70401788640745 16.3382464298502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.160894376401573 0.185658276664669 0.52325436080334 4.68765436577469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.194837969895356 0.208032197392885 0.440603596797157 1.7878774153309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.24701564988433 0.459907479087902 15.0302783920515 1245.2648154284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.237098987360651 0.156656440037398 697.046277933748 108.920494197417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.109189155635886 0.160658821099872 2.00179432984136 83.8164480826557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.214515999455152 0.174523957960439 162.123539894817 13.8315497984692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.358894956968769 0.36693283833263 4.98376181497756 8.11321692147914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.134763473099326 0.147138250239061 1.55201688437704 4.08030026107382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0944760944514652 0.106458622832458 0.696824945653479 2.04622451618393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0973567986238911 0.106918519073686 0.583422069496814 1.15601335341798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.467657702367072 0.525075930687156 51.7866863354941 73.1604430825791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.207935279332106 0.2557889000033 5.09357362037821 19.935344695204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.188399842474367 0.220224195590575 1.6537577799012 7.59509664990509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.214217194226495 0.229935318261675 1.2497322236613 2.96269556630363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.366326764906505 0.313778281359178 28.075049467826 8.95986971670534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.235100759159375 0.152855469162785 109.917426981254 10.6839076354051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.179934801526583 0.291685419782597 27.2532263697388 490.44621949323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.170360229215181 0.20835589646196 2.51939070656293 15.4222957468314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.556827271964722 0.572829307047551 28.7712567664466 26.1448710326106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.211374579924689 0.233932851607095 5.83084339861961 10.1292429236825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.142572108644737 0.167002913707137 2.90388886258825 6.18272317591082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.12960360757964 0.149229729430505 1.5443016247478 2.9915567751401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06437603219191 1.73829953905707 728.601719639095 2746.94815177558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.37550443134572 0.54464978988933 40.6210132636449 127.609697629944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.263045891040191 0.313114757982878 7.6353765368284 17.7072998409947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.253450520438975 0.266867088363757 2.6989220055728 3.99054105010154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.46902171163838 2.14105516390524 14033.6406253966 8875.19527880362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.4648687837893 7.27434277368143 23242.4137415097 1461793.2103528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.552568922386164 1.09375575680374 1024.17604701484 10421.8359722137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.423459476820899 0.436908803910196 369.870153134903 321.533884261632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.31819097223474 1.31148434650403 141.908747610554 118.650834753203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.524923135347538 0.560039691345338 27.6283331010248 47.2688512383879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.336250530199323 0.371268622264529 11.8034528012493 21.7534639038398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.266267821276207 0.290597876682605 6.15444142052032 8.23294075358069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.0608548635652 3.96652816228979 7900.28115858693 9699.79208037405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.20328993471163 1.02948793280285 393.547321065531 227.220711340209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.614366065754741 0.556552859293423 55.724955281622 37.9103017586266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.433086642530192 0.423383508075844 12.8917601562935 10.6387509740959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.79219418975151 11.4263821469512 295306.368298059 319627.311732308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.41011387572617 2.51989471160779 42786.2850451078 5146.50489174251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.43200935192809 3.82502024859951 894.327183983883 89991.6460785302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.04335817101434 1.04411714865874 316.928767659649 795.545698812661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.89521147050159 2.15920546492286 140.868337153863 387.765592175609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.822551679468948 0.896447768777458 45.3924893860354 73.0041319463152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.548315320867299 0.567083682985908 27.0213655211688 30.1756591552076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.426232469320667 0.435105764355836 16.1765918161178 16.7466594930488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.00892176520732 8.21772512334253 39227.9224109776 36965.6184452133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.91579344298757 2.19473103953304 902.098664228462 1080.38944808798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.992971427605383 1.01545349628197 163.210660624178 176.390643751634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.651312782356248 0.652866566681376 36.1602672039311 40.9179016949242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 24.8630786355506 22.280889631007 1312562.53024881 631823.471865901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.04477481871799 28.3322461900846 43724.4206266693 17422782.7908447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.79811090425398 2.72743823203282 168961.016951625 4575.1767678734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.90051708922562 2.40622741795826 32755.3669779164 6339.64007701341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.474241876012139 0.609704957845687 16.9945259937563 232.723870365772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.190702973063624 0.262381773907395 7.18858309979894 75.530019047579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.132131643050505 0.177544122848277 4.69370204440598 24.2911165246067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.120145461821121 0.147431688916452 2.48754063241751 6.91612228685697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.29570820922074 1.42479515259263 1645.35739035515 2095.15108003539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.50130459741033 0.489074429919725 243.665609651485 191.771225365167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.281861910471425 0.3135281219751 27.1381591050998 31.3908022562403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.239698606210975 0.280090558385314 3.39429682732309 8.89900932049006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.69269942030756 4.77575166716888 5233.17170893129 173947.509931763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.00639575555349 0.555142413884206 3414.71859389272 508.457634900798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.544003924022146 0.433284015186846 1051.14805955724 259.737420730933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.796907174017262 0.439054233432974 7467.56002902102 411.974262935502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.801693133133674 0.756663755765295 106.377593721501 56.4574066700383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.349937906455044 0.316478361735054 64.374328243847 19.3566635669803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212568041899842 0.217367999325184 11.0767373042635 9.93068642960266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.175835890486296 0.188247238221848 4.27514844449208 5.70689139230082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.5903617384417 2.33485297452128 7519.78436099993 4936.36803054118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.737490079512336 0.71099426124151 283.41981796782 391.817568196047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.39394517540106 0.398107089081999 34.7768454099383 41.3561229248003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.313190693214378 0.313205840442436 6.49755814775885 7.0301934841141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.3675972388237 13.6218779116611 69165792.651213 1110922.01619666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.39812994745522 0.8162405563008 24197.3242450971 1067.55083686716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.915299161994877 0.783434001425079 1150.29487513068 779.519715784615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.556705942278751 0.465232868539732 234.151660710941 81.3556740992823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.36032192373369 1.37765260416159 328.853908815388 144.089597239479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.521087762080707 0.555575443006785 55.3705532635018 31.3254111249183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.32191783195767 0.360680613326576 11.7455321001211 11.3000436769925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.256480610101957 0.292271247773031 5.05525646013717 6.48507223645424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.88152324443267 4.29162675667002 26039.6316274135 13051.8038466675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.30283899425856 1.22686795768533 931.8129293275 405.314533598157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.604634772635919 0.680942187025775 85.0633307335138 74.949074425799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.440651247274916 0.492255099198482 19.5483496808747 18.6144423208125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 62.0428614208147 9.73439700931243 71357614.8449253 138803.782772147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.86732090720709 4.53579800639452 30214.1068818444 121158.884173322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.29299357974152 3.11660610432263 1195.14231202456 75960.7420665899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.877331110230182 1.14587293628234 247.586902795204 1306.15729474007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.35964871479412 3.46691824135497 314.092961668454 937.300984407525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.45583432544698 1.48304059962363 79.3201778749522 100.71233931385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.957571054754216 0.981704797521092 43.8485805251494 55.4165036272843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.721541336665772 0.750084330707682 23.2174310281805 33.1922555711088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.1040263649794 13.2240210438852 46165.0647177454 34465.4143539309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.9463682971576 3.85984659025399 3391.08587176212 2247.0155844874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.6487405303602 1.81076295727774 304.153072464597 477.758032134264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.977582826436288 1.09819133683206 54.6837526251319 68.652491745117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 47.0929484908633 506.888821503719 4243295.61628674 4334601238.4132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 16.0325340516019 19.3166852366713 1530922.54455717 552277.028967832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.7996663377011 5.87325252356993 130915.009642243 27617.5504365209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 47.5119053449888 5.59709660739631 73793952.6874211 111739.952342176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.98513282531144 4.9412890471824 525.185241917649 465.094023730986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.30629468749008 2.37019085591035 164.895602693826 225.135999662551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.54395747160733 1.61614989183474 81.2526313303711 104.102700463306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.15248497904867 1.22142522509052 42.6975822074144 50.3418853180375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.1434861598059 16.0157886747693 17823.8368056449 22938.6293894038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.19066097063236 6.20300959266644 2849.41507561248 4174.05420148591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.48482942415072 2.93860534991855 464.265204607418 696.605778319987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.54647501414727 1.72886530916271 113.843190166634 139.061590714318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 89.1031359739627 106.734234770191 57173280.6773791 124921256.667475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.2969556886922 25.2476400635729 82393.7547632861 1210125.64581723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.2211360639596 15.3131026489959 65633.6194567693 948371.744238496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.58130645395073 6.3850141571634 33316.2101666162 21580.6547854275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.319238471980043 0.318973430408944 0.720469247551771 0.700346183619915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.130715991864294 0.129054509165605 0.112371502112413 0.0913043196972655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102345162212486 0.102102268675251 0.0676793600379421 0.040965103501767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.126873007905515 0.127644199395445 0.0893032180703243 0.0457171374846326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.250153395998292 0.247478031612163 0.343984825695216 0.258028286816189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.159403327133711 0.15727522063114 0.181167505907814 0.11078243017609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.199231204116248 0.199399922273275 0.261420537621929 0.134070921683153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.247436342884887 0.248631273215291 0.352331421462396 0.168588016493006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.147422959234238 0.147121010580538 0.158643421266595 0.230850042043756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0877628580532785 0.0849494679406123 0.0448193919235626 0.0194199320912792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.169803631880373 0.162261483739384 0.183449380339217 0.0713464385656944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.290196823479372 0.2813910640632 0.54429284697039 0.21203136971149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.411935897894912 0.426720877866016 4.58823336596088 7.53795666354657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.20223333620145 0.17944570028438 18.7624827747422 3.398361490105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143928357759309 0.137965691145676 2.00587445062564 2.5503019429417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157445552697667 0.156844486651549 0.851489242419297 2.41560103898976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.92558915601152 0.475261092158737 7075.67586387074 128.596517428667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.689438514899366 0.249444547479547 830.515498368464 28.1834077146579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.34668833339891 0.258488398893606 78.5344738467786 13.4492664852031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.285948702586649 0.309981316224688 1.58028908352845 12.5592456601674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.915471740824671 10.372093356872 2411.97081702166 675814.97733106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.721162703187696 0.571262896052872 1638.78323140316 1244.00905935974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.560229144045538 0.298816399894535 287.995519221564 68.4283537261163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.486617311891532 0.38058033888747 94.9538794109039 33.2160421461667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.522152767594621 0.517287871946809 30.6023840791535 13.4917296720747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.222546832003035 0.209357419782085 7.89747082526228 3.21837951381758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.154580052715601 0.16370643353299 2.16505515772277 2.83671293026946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.165786748868517 0.188506629690178 1.31761999647144 5.52644018743503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.2585719957505 7.51118037442975 1017724.85079152 625714.512500669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.88558067871057 1.57568252986398 25367.7920165654 22513.51078905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.681322466348244 0.31688992220157 1567.18310225065 21.9865940898024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.459997542764172 0.306493745380903 213.921017478408 4.3467435055141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 40.0293072682129 49.8747255096853 9847692.18187661 31249550.496903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.99496280782558 1.83189699660755 238537.696982046 31953.7011245199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.32449435200963 1.7226177701274 81902.2971278563 15878.8066907073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.44234047823785 0.455322213334985 4906.64058062604 74.8857392835171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.652197595954905 0.816545190551006 17.1804661356553 169.174687909567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.271943459551447 0.328301626735582 6.03551879141698 23.0656781074701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.199951823173945 0.219082973674087 3.92534490045789 5.65446626938042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.203585900484204 0.216019131551245 3.11785116260621 3.90875267598103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.58574427108215 2.39362169173938 16176.0067637753 12878.7593871048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.848830835975352 0.792517762510715 1097.91274699899 1279.87881230162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.488371383621307 0.468318151195034 193.62187651159 187.007801552281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.427968923742355 0.375915142231122 65.8867350634935 28.9085762953252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 14.4757284939157 2.4629116196618 1074803.63823516 12505.7583622188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.45095762245235 3.93188701890585 41916.074203921 133509.366229734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.30105700925505 0.797416880901092 52784.7950532944 691.496105949137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.730591712211225 1.17294973138706 281.625242004613 4612.68932653219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24779469184728 1.43013199708324 56.4739012644295 204.565863611277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.549165132453671 0.622591944250779 41.6586845311722 70.7097700755281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.38507680292906 0.431143751322527 36.3359189243765 60.3113039116823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.33485535582234 0.386095590802402 21.7422428624798 67.9067820714021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.58254996875168 6.10155917520394 68945.6650033961 66178.0062436923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.84191602326121 2.49179744610849 8049.97337693537 16774.1803070742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.34780586416608 1.24217660287166 1866.56063172393 3161.57721119118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.932552384112551 0.781608201529547 998.064165146056 608.074567102321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.9635317336065 13.1559394688249 1220536.62623465 279754.500341061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.36875229840593 3.03167790049485 24095.9881910911 14434.8080049393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.74481661656142 1.70139483238867 9781.65522888649 2595.1819447967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.08250707934046 2.45693849991109 17251.735264223 8869.34525458776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.96372066992306 1.92299782570556 213.537665502098 264.653612658258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.904616323247864 0.875199188360708 148.743410366896 100.154101347416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.609419660447757 0.568259961256409 97.1179824802575 40.7472681616439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.50239103712137 0.45158743863878 67.2915404647048 15.1473450963748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.6383077522745 11.0783473117374 187636.87260066 163942.824969422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.03435219718078 4.54498123376081 119238.150815902 46041.6441704528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.54933597339903 2.09138948576241 22314.9272340189 4361.63747432652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.4899845091419 1.22725915057117 3773.25460933689 1219.90820819296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 48.1848770325366 27.9196501042988 13566517.3857272 1572867.035461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 30.5089523175614 7.54287053482062 5631704.44356787 248611.987111089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.4377663552506 5.24182882996302 187565.9227346 46729.7431823394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.2433394170189 3.5834121733955 452501.216166548 15263.752160978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.60466195522994 0.59920337539519 18.4302586084034 39.1855444859556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.295322550913555 0.262859827661081 16.4327938848551 12.0119404008268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.219665693041874 0.205369478119729 10.0946265877829 9.33559854776261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211958522553075 0.208982670141284 5.8400402014308 5.07047678781472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11353346067066 3.57999834053368 465.141569478305 34017.6409504109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.491453717443587 1.53929925048192 58.8014032258487 7504.36254328861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.358251955649936 1.33995148884446 17.6789988988855 7825.13283041642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.334511229273379 1.12702543873867 5.15012673512668 5430.97645477432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.390482994529 10.7670422981787 9174.49139895335 429612.823510956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.32214833852483 1.39830470367068 16566.4715484046 5144.62987197058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.31251757224784 0.583435302449919 5001.5028367228 275.422082583222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.64216088857155 1.39322175324612 60.9217542774031 4092.24983974152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.02950483160202 0.875084897672494 255.334089844389 71.9625900173773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.452644269140007 0.367672930696159 66.9484351791934 13.3442265879717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.325679131155316 0.29748861784866 39.8371058685903 14.647488412326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.312443608739706 0.290244732316871 40.3884694525773 9.20960098132258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.1907875631811 8.08919873986388 190064.124229346 121086.863082753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.91705970082465 3.51767036365978 91995.0057683701 52232.3679855172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.98293832164685 3.18163439574956 59422.2840797139 46032.6628651833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.511372981953379 1.71961597431043 156.194069454327 10011.2167462697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.2014789288335 17.5758910255797 992817.726806584 2180543.24073161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 19.6617253993257 3.43970096501184 3298791.38097838 25176.8124582525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.19520725134209 0.976007067972288 38339.8782846367 755.717179238343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.26646418629357 2.70735863580799 82644.2077239088 21562.9142151543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.39057436991777 1.46139071597054 129.511049803715 303.400645314806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.640799862396132 0.679197872834633 60.115285463057 86.8642632059495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.440972337269927 0.482235132954459 24.5481649840865 40.1453878800228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.391927106992635 0.404254717312605 19.2269945456291 18.5326911786955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.2131151209827 12.0072062565153 326624.770798361 312094.307648611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.03379651662922 3.13234079250856 31785.5696862102 12202.8429809998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.19271987200916 1.80767887738396 19550.8953015747 5331.51514724599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.0713657771751 1.35890968893362 6609.81978959796 3216.27983628718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 28.2198298757056 24.2949724344348 1898558.12691621 1276531.43593964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.92831847756056 11.4688618876752 33718.5374744519 576823.322204369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.0234999337584 5.73584583199437 35848.0978313589 67377.9310977329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.69756841056985 2.29854073367467 21895.0736744823 5292.68077292572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.41564222910398 3.0536568165119 408.148437622097 173.468582916122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.70749486419019 1.41433012146223 278.140753833083 80.6757768011157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.17752340343018 0.969498200320232 244.418348708493 47.6624727843235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.9032110545454 0.771892851986452 84.0112483035738 27.9347610880921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.33772897915455 9.11203759954719 18063.7121254182 20385.5225430267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.00110445493354 3.70572207268153 11924.4707805613 8560.99598456808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.37229909182304 1.9767856155239 12485.1589617108 1619.30532276226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.19669947357722 1.34095751336019 6523.6460799767 420.15889647248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 20.6865918047087 26.6958844978091 200275.697088904 349868.969278331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5745.38768903042 14.2249546588082 612547977076.462 411746.437051164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.85588476246544 5.27595721866162 289943.551328348 70115.0564876039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.03199818661362 11.7659346849201 53813.8775830792 392374.92406474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.50360155765968 4.76953520904512 379.201897099689 534.423079083106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.1514214863188 2.2511634031509 150.89387724848 232.61547617955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.4785127424934 1.49600719724915 88.3688095886109 99.1071105582326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.148680995221 1.13871765826459 50.7942135849578 43.8668968942109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.2326896201065 13.1622052505661 22715.4397944317 20629.4305782981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.84736872982321 7.29658111020243 9046.80731140038 12898.8293819459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.61184061349433 5.25160583430839 6750.11708451475 9617.08541676543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.97678372643823 3.75979880573302 3435.49676407429 8438.34775487407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 54.1501522194795 44.5174016129084 4096643.27385872 670437.563597639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.5811273890332 83.9194817884257 369797.44300889 43519820.3208891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.86347676330241 12.2844675632528 24078.5647629718 157904.595474707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.22449766891419 9.2530243006097 9963.64271651004 102920.648402545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.181981348583543 0.181916739865095 0.225933759263488 0.224627956381007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0696021439270434 0.0697682820837466 0.028071339905196 0.029970035043893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0538302967097884 0.0540201545973883 0.0114592673888996 0.0122781367256521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0628117140722226 0.0630153035235109 0.0120860475027066 0.013547019455068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.183105621833854 0.182760847096009 0.123108049741401 0.100275164472304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0934517722860658 0.0943045482817045 0.0336805571512628 0.0268478850001232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.112528840107098 0.113335277888294 0.0456898173992528 0.0339537940694658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.148888641007143 0.149239554178767 0.0752849675609606 0.057183158679645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124614489662615 0.1238109976157 0.09460746936121 0.0533600063503501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.03921327580975 0.0391439894574961 0.00406063546592088 0.00543892191408334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0506307382959945 0.0506730972900804 0.00655445488685427 0.010089758944611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0757661357464969 0.0758237583339362 0.01407854304368 0.0230964793566192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.308214683541146 0.289226455453432 19.0061560018884 6.09638260443457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.136259984769713 0.133852338137354 6.80402794057683 4.66230299629182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102007236096832 0.105016111669582 3.22376077687437 4.62184031408118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0997301339593664 0.102958303088035 1.65943712849092 2.97508389250757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.5479142493051 1.4100638223172 8353.61681391501 8265.24737999463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.472978040702406 0.327205297650315 1660.30484149617 158.882986945086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.171999345673128 0.265029923911662 4.48452455999188 51.5790045664936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.185814684494002 0.231928325859646 1.6525061182473 13.6176256883913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.91664667173313 3.79332674020859 12852.7285917467 82210.902511679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.68024626353563 0.791305652999456 32230.5781286412 4231.74213569575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.230652856837244 0.612394661173953 79.2717142409588 2239.39971082991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.189992049541515 0.368443907986782 30.8468321085244 383.363723234216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.374967064298996 0.354716391244545 17.4381457992074 6.98476697152846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154315720070713 0.152506549539564 5.70810795302447 4.39271115599693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.114301530446306 0.11384692001156 3.20003143043447 3.7556861055868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.110990931061786 0.110781442072614 2.28092863504094 2.75973445998082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06257253438493 1.33711107269616 2459.84061172068 3914.20505897434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.537655644448187 0.315847821505347 926.945786094919 134.825593877104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.247376463191318 0.248650494963052 44.182033535326 36.8176190374192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.212029968194893 0.24202646648262 4.60153881478262 11.7716098015829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.13447147249667 0.92569731957548 3381.02890159576 1236.92000293929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.624781069303799 0.375762421927038 1022.79305549081 617.568346351462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.302958756750626 0.276011765543305 224.304500576302 186.122959413728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.218206285659619 0.28877354706735 66.5299129231874 168.88024755014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.622755008166403 0.652674744967643 50.7107465643655 91.1805468908769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.255822418769942 0.314916061747355 15.5093859943793 34.9830422086293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.168391890918419 0.220264909146601 5.91920054576903 16.6821637285388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.147146682891694 0.193761302188568 3.7084893911874 10.4112182157672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.4738348222501 2.62807665232496 9330.05880830318 9922.3667363425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.831145425349122 0.747322994725278 1561.89566105661 462.22011917094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.374872811262834 0.450655605615446 114.241977003595 88.4384383527714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.282112481368508 0.351671887674419 13.9950106174528 29.9893435793148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.10561956222811 8.21382324176025 93805.0531036832 396659.672859745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.79834897877083 1.02374766572897 7476.50974709048 3088.80699511641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.84142619400938 0.972137087173298 21075.4091102096 2620.92959239755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.530803757089086 2.68709574005265 614.079051645532 72486.2940499683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.43636715774717 1.42647619298579 244.457153015864 208.626124704307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.662984963417658 0.691285539833272 133.652257272256 112.548555814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.456132473974752 0.490992606864209 97.6055692650564 66.4487463855396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.360664822504408 0.392226202986386 57.1979785691632 36.5865976264802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.89342602144166 7.83306735225001 56421.4359839905 24793.0917733308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.98241183167756 1.96943802035942 2495.78668408751 1428.96862402498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.812198389245799 0.981372351250862 231.953698533385 241.606685242019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.51112852932644 0.602850289239288 27.3512836736541 44.9783792150889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 29.6459800851657 22.3194047230112 1929883.94069016 849527.499599293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 17.204678131885 8.48208867369483 2061993.94073499 612677.810964917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.71803245386043 4.42880429873729 12550.287665542 135521.055571604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.69326564449138 1.45941774822483 51728.2092398832 1896.04216514691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.8372845095874 1.94891175078426 207.21795520948 195.711223266938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.792822376437262 0.885631982017192 46.9610899449731 65.0881893385636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.51588967567014 0.595667763729931 19.9245874893335 30.0211215208149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.401629681220197 0.472063620906369 10.9666806275729 18.3891385091139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.73942204090086 10.8863170263193 41228.3665787668 47931.1978682997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.26367145955262 2.66415847114084 1719.49043197565 2351.74542673713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.20604405482618 1.25507834451784 566.548303720668 311.22193486188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655796533989008 0.78399658679333 46.2254871816269 72.3711885426532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 50.7288125401327 40.8257912394492 10816773.829176 5141685.81942847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.2762908364674 11.2677204369637 137827.150090498 247674.041577377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.8037089441375 6.53566289547937 8060.80341800714 315916.011397869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.52683779535615 3.37173760775278 13654.9862025324 42185.9764050162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.486420017560191 0.564399986335238 111.088990021644 151.590266655184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.189076832012285 0.21681129664729 12.5122792591203 9.24184192535893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.125789199102955 0.151320480999568 2.96678782618613 4.56901690819876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.114421889611459 0.137851737736984 1.39240679522125 2.83466937466801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.20469171300363 1.36726224964676 1814.18371572204 2307.62339077038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.30455115921623 0.468489881110842 28.6450918747928 140.665029720475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.218968461051 0.301314513630025 6.40240473334624 32.6656779436775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.216384295492926 0.251269969216465 2.64744270259384 6.71015787870244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.57881169746837 4.45494510365282 4163.48121680025 92010.641290442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.74954351878183 1.02815855070531 44925.5292573364 2066.39406578357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.256742256281916 0.420952336279337 32.6986018469484 279.517757250953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.219862030754197 0.267966404034549 14.1124000019149 28.9954280430504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.811685398845377 0.825354388452733 78.6441753818406 77.2379544340881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.350347855814803 0.353840456726339 28.9951852249883 24.9403249376375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.242082509332645 0.24100675135952 15.5568531826976 11.903082711417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.19552743509528 0.203772040328193 7.24952075420612 6.95217047845575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.9335209544744 3.22978909774337 1583611.6615435 31659.7185395962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.14306211142838 0.961615764778314 2663.17875515259 1344.26840252969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.542115359867236 0.424447511553223 202.834949216137 73.0430194332942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.361310842787515 0.317579991065496 26.3407620079973 12.0915302397712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21.8942031170668 14.6239696526775 6433289.46962442 4769503.16589224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.43487224226666 3.84634857718266 827572.565827179 106209.27672267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.19194393163385 0.756632765600225 382071.189567245 845.719638927455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.576381494279415 0.614777727964912 256.621015855497 803.296273619002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.30421960542882 1.2646458985964 93.7377398675241 66.0283503390352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.564157535291304 0.561227619743564 28.2190952184781 42.2898796359546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.394123640011411 0.380141887556729 20.3356176563437 27.2574194034109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.314439380973725 0.297765368817395 10.9518533030492 13.2131946139631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.35344019302559 7.42922829558538 20052.3493413293 41843.9359278795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.63571334671109 1.72341044464043 1790.982136128 5473.4951609032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.821985437265239 0.699917445554294 304.88131450872 323.924104786038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.533527812157164 0.450372883001383 36.0828227492069 30.62185174463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 22.7331917416811 38.6471682259643 2398079.68328544 7612974.49128296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.5338164311245 5.32480514473877 3741697.715749 33840.3007269174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.10897404622791 1.69226203672086 38765.1780396294 1486.44867870395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.86078974707797 1.30666587700276 736474.972610911 1459.53287470704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.23376810037533 3.13511608410386 406.592233993665 302.762117484421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.56546054408584 1.42991482886379 234.094294249051 172.138585700731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.03499019870992 0.973409356943933 108.258578339716 110.592901347789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.769365475407291 0.745699228812754 46.653331842637 42.8438910430008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.2589375704495 13.0576307543407 39914.5994201452 36398.2194653057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.83331163176792 4.24549063868084 2805.92047688699 4942.14823305529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.9251312285162 2.0304895723596 614.95911682334 692.489774063706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.12949371321606 1.17736908044248 135.819104032699 123.654820808145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 80.607404448116 46.4179024843477 63229528.7637289 15707791.8819141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.5245906562053 9.76719876271406 117140.488779793 77740.4462522041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.17979631721398 5.72034788158335 21172.090340967 27953.9374147962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.21932131604258 7.60542749366479 328814.435577194 220415.504700477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.64562598161682 4.50147556324478 654.962862648775 319.064368198627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.19601309633314 2.09341188610774 199.420750380351 120.516077301248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.50033521531968 1.45100026035071 98.148295878432 71.6401395562363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14560910331096 1.13093438067885 55.6511376064928 45.6372969962391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.8579864569053 15.91087583209 22996.1651141004 27385.7506828978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.52433741933265 5.52048250740189 3362.82882228008 3520.71275939474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.89900704915301 2.73486683615203 837.414280840829 706.430404104478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.71147521297727 1.60409311369773 195.33480524194 149.469738585021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 57.1421820102235 108.782721286665 2003676.5408838 73949961.9900694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 19.9835585024038 16.9384689253713 366985.994735875 150432.381376535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.7353608095298 9.39320041047356 229848.749698302 37359.0920033134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 21.3959501005676 10.1358697069998 8164320.2894092 265835.984786426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.497528599199951 0.496638989780712 18.550529202398 14.6748205960346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.194711526038197 0.194147340634781 2.40899506094853 1.89171760323754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.166073416764948 0.166621261833604 0.780593516963312 0.608078574746136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.203236945882586 0.203900294875278 0.45543831405882 0.324744312259667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.384510970076744 0.385945584421351 0.706142141508451 0.547394521450163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.235644600320502 0.235681290748079 0.358345999687379 0.234292990782457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.283502331457485 0.285527606496498 0.451909092324599 0.250617665345243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.341800737703532 0.342182401501315 0.550932068176445 0.324544453998709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.2624537913082 0.262279726233363 0.977536250184954 0.304446230895936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.258659663945838 0.233730490435813 90.7948149087589 25.7527427130662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.627555872176826 0.66604285588879 296.600169260758 505.4594749899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 15.2521726252454 19.8849026025108 13807046.6358589 24383323.8724001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.665566498700479 0.69243119384509 200.00429075874 398.539541972834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.284947461956512 0.278875979467353 91.9781153324262 65.983623020194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.203301138147727 0.202947821441117 9.65135454818135 7.03213036555722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.221102217677206 0.221422342066054 1.15832361843471 1.31612250567327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.684871621449804 0.871197315347009 567.439778909826 1325.86728958364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.299883382611522 0.375857887160078 12.6887507579917 74.2381007313663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.31094824423875 0.330605809567714 1.48236593425222 5.52896541037981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.358763765945477 0.359263712575845 1.01224010073005 0.948959940239003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.630183585280926 1.14529976617189 458.777166374225 11056.557964005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.952683787596098 0.488423746938962 22474.105917081 482.72946970085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.703903964412452 0.940347283376489 529.804164246899 1776.70264588457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.6695156683836 1.89911837968801 8731.53979685269 24449.2078882157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.9061616028926 0.710150106181362 1714.16879653064 153.995232170291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.401990676119986 0.311525746089552 600.604990138601 97.1879077100185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.266169741056077 0.225413453662197 123.233317757605 16.6901608946105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.248281956070248 0.234256470503174 15.4551690112974 2.57282659027758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.996372898376268 1.26542553026966 2126.88214827742 7488.52153648913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.361244037614818 0.463477536704549 23.9633416798558 277.743455770938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.33740975617919 0.407338209396612 5.87467366256905 89.0332609392282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.374513838711768 0.410729028187338 3.27772658050572 24.7903320898101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.23546578145518 0.839046043378297 132908.907644067 798.77082195945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.515557857225987 0.677318970931333 661.74848140802 1816.00429332585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.78055405570659 0.848689083806865 524.591712947995 463.832343608583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.54609899099586 1.64586897922199 4203.66789877458 4599.3409914321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.988048142852612 1.20791220934962 378.364894409301 2142.64494225736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.397618571768854 0.508595566859445 81.1907412665582 479.106118366833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.286498785629619 0.32404214148121 26.7085982551979 85.3713512298125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.28049550009556 0.278000040771123 8.64050740285471 7.09096198970124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.23484027118902 3.29064396274193 41234.7434769456 30348.6457193404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.532772567467803 1.15419412550155 117.05284558233 3028.82171455086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.424549167723412 0.59543168564103 23.092105274568 403.778153296023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.425288250572277 0.463144540383234 6.48130877097862 64.3499206837541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 13.4154084538693 4.97286996809389 2921520.52368301 187133.240607441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.8473342502413 2.31436294893717 192702.487194359 17875.4109474453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.44527865378446 1.45819167270652 7406.12862048345 2556.73824613265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.62800061674189 1.59511009331725 5029.84996087172 1490.44364187359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.63076322340207 1.76869860987174 232.695780555481 529.245296298568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.712685614083694 0.734331971650791 62.4247848943893 106.827009258733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.48811231579785 0.487127510857899 29.2448668505699 43.9470741252136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.411185882467799 0.414495911374842 11.7944333508917 18.8940233504051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.98040846297388 6.50581628698223 153397.404121552 42634.4209970559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.8201722516922 1.91456022146102 4948.42830866252 3251.36922668442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.808500598664738 0.973691640302133 147.473863594619 460.583332996003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.595121847270284 0.641893101486609 30.8940898796399 51.5345770188985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.2653717564092 32.9042753313454 619589.345200403 7975361.99375615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 6.48318120959384 11.4641165688414 125511.587433502 1057348.35835538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.91558601822639 9.94254670904998 928606.13952766 2880349.97176731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.90478581835804 4.14852009474039 5990.59343577886 87604.1830234266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.28348646510032 2.44368426812542 326.054164859544 552.909250989234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.975745351949375 1.04910132716224 90.9399793908842 146.173534343537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.664250938600155 0.691009168345292 40.2163775383952 62.7735054606166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.550081621153003 0.541661772664053 19.7515678898218 22.5338008093668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.67785166323578 10.7018122716292 59059.3321806365 102483.004142794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.75570886616072 3.3778082351629 5788.70561117927 19732.1518259858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.25679711040419 1.45161375551338 520.235811413176 1896.82775044968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.817584776100873 0.851582725723194 86.2631683065119 179.335214513102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 25.172963408119 28.421916914738 1138505.78744997 2301301.83211017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.0118465584132 9.60034448541222 713708.980639895 636426.297091351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.89685273134827 6.27730221676009 167469.894434276 347880.939596737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 18.4315341695884 5.90945290774844 10403679.442577 139863.595090589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1779619346873 0.787253219250218 7805.48247312472 67.1252621587553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.37002342869583 0.319567566752596 99.3378454279982 16.650038644443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.249855596010427 0.248355334852321 6.64341520568078 8.02923261380231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.255021017271061 0.258258877981415 2.51281557710308 3.96055405184573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.57785819164722 4.87470228893244 29361.5902713878 295218.015418739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.654252564541784 0.939984929273088 270.833145613296 7434.55399255009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.451986253382318 0.45727490666743 48.6801355081066 119.453962899082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.408648778462926 0.407283269792934 5.83384703504961 7.09312051080713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 31.2206054873065 49.6925902416509 49552715.6202682 98282164.7331081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.06857924309145 8.69298968053472 296200.798996145 1800143.81499353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.15948220884049 1.01198162330236 2888.67435331381 902.487033616984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.6875258050684 2.62117243355871 4315.03086644833 63343.8743374782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17342238367008 1.17422855837979 277.0888083776 335.310836812484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.46872221950722 0.517851619015612 44.5917689304631 135.258164925437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.333824363715362 0.374672886176922 18.6382320352327 45.3712823253642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.317081262133358 0.346455263900935 7.05822225161708 23.3485716183083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.86062472959902 4.32933258138283 31353.3471606601 42595.7136630106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.83314726815523 1.08696375262829 21446.0828866665 889.465101905541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.823429873302964 0.62962603156957 1389.19486552469 109.149591642117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558943985203242 0.538375639052492 131.101124693852 42.9090207576076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 15.9390253574769 13.0243123240513 3021126.2472872 814062.837426604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.15230856337331 19.4956040964195 28958.54300219 10216291.2536976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.05015279960259 5.71344242479559 15588.5471796237 642932.342006022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.5688024611195 2.36781862442407 203771.03268941 19092.3557059004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.61589623597294 1.78573327325312 150.18926928412 544.878531195337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.69020619136473 0.775508110131105 45.3872521672939 167.343297959757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.48574322974611 0.531224240523979 25.8200378447577 59.9826020899326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.417146491380314 0.454108786575049 11.7781519949843 23.4404461286006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.27663558047423 8.40021414865091 188289.929791553 155506.546886776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.88870379740943 2.69622363310427 4437.76418072705 23364.0499338059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.826918935125627 1.16833266779844 128.065751756002 814.657341033417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.616879024340361 0.741122893178533 30.2210908709835 91.1858668012508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 222.981128026357 31.709980631296 2460542440.23086 4922936.62220585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.676333397428 14.1336948392363 1234391.51243644 4021531.93020152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.59642176530202 3.4388766227063 126942.250633506 25977.1432266575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.97474720744624 3.27791506675841 78629.2011942389 12795.7706627165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.70793514467032 3.63365426752203 595.469313465734 507.696108198586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.67436907798669 1.73810990098765 176.61182184387 273.715613163657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.11081268898757 1.17420803190785 94.6769768219177 150.573533269507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.845509084551553 0.901214591252739 41.9064852427967 64.8171470325883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.7458583593428 13.9471283535865 56515.2350181309 44675.4614266363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.3584779076745 4.68756710210042 10112.3779246087 5576.6362227155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.10907858345706 2.22973035460185 2172.64391401384 1319.47378336158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.18610955826992 1.30884389232974 212.342399010141 306.333971281846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 84.4094317858288 51.7739606754108 92233608.1963735 5806791.81617039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 20.9874682744468 38.7131607684384 1607115.96931679 28266213.2792523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.10088661321456 9.62109921801981 143983.630444064 200125.911093646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.15894202368018 5.87151665838944 19674.4065891954 27813.302142378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.97840092548233 5.04419773967124 670.475472267911 529.355804117092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.2723859162834 2.2951071166777 174.717940562761 168.327857060872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.51883351700609 1.51178764449395 102.580278218336 98.4868328257807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14661398096912 1.13935944481866 52.6308358189528 53.1567822044069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.1245347202617 14.4230732870887 19283.8871042169 18271.0763598508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.06300144106016 5.92344938312406 3655.38651198619 4563.99964673489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.60522986335329 2.86815015257564 1071.313509739 1330.27017733019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.58552217552721 1.64858871792796 370.106054884241 383.103862275066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1149.44689077628 359.687510799628 82761472323.8232 3415940537.28058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 22.2052138461045 18.4577754958886 877309.090623172 279869.479507307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 61.6871019156672 10.3965495374299 122780261.764333 106743.999333163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.66313349933353 15.8882809882943 39768.0505769379 5695626.57286189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.172038253223137 0.173007365839275 2.66617687742045 3.03304468986489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0696978316866642 0.0699210850480879 0.383860147770758 0.399007806487978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0542506363844328 0.054352238803815 0.0967915699445681 0.0958381414256497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0635293081622503 0.0636321290073486 0.0443591518150142 0.0426865648365835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.154929819420751 0.155168751510189 0.109695750891056 0.0822826468572707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0762115475569495 0.0761795403868079 0.0297936122354615 0.0189362628038112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.104110170497005 0.103733639563522 0.0489369735400611 0.0273961820563445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.138759113081509 0.138210855710627 0.0834155244232595 0.0468075359608153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.10845343943954 0.107107901429542 0.0506442868997645 0.0460821392271334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0381460603072266 0.0373145477602774 0.00465351899006209 0.00483245510330504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0486612958466697 0.0486689428507166 0.00758710877416823 0.00951016686415769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0733148137299058 0.0730969563869659 0.0171513259120097 0.0216248229391656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.699072662858163 0.756891473750067 3136.49951612095 2585.74186345193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.199583309868683 0.357237854318807 106.866518243322 912.314271090919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.118358838833211 0.247780244100555 19.1841006380932 552.824882556763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106028167840907 0.205740711719826 5.72081126346448 343.863317130259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.47316257598624 0.792899866451021 33508.0272086931 4307.45106441305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.169526652030439 0.509362935448279 17.2041430214526 1253.90697575676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.151176016692707 0.271751655538092 3.63606201147712 183.121992627669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.173297806518258 0.184277135974098 1.76702107581773 10.323984705147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.891155330115415 1.16151565261309 3119.631888942 10425.9493440945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.183661603429043 0.286447399833603 76.7534615182197 249.357333408358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.247154109483025 0.167393160616547 158.975536052645 40.5938011244827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.141830146554354 0.285789847846368 14.0936603118092 371.428931192195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.480555330353047 0.541856296066015 513.648202406036 502.007484722922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.173636447125894 0.240892215561639 22.6881991668306 163.234368931582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.115593595224758 0.171089761797193 3.34218441538762 97.5241367343785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.112125532885318 0.154009413402117 2.17169575929385 70.9679427705459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.78150226189021 2.104721253694 451236.662498475 28509.1865588307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.368461423809219 0.850509217486364 197.735708988172 4317.08556999681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.244753056110586 0.275336140973262 32.513798363538 117.177605920539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.232841205610946 0.220591946157316 12.5510182388969 17.5323808778767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.4926984291182 6.83916160068502 1360968.85656562 380899.002844257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.160211795922 1.78810440695761 9413.79084284004 30641.2462999245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.411924481175852 0.499819952444269 510.132046317917 651.586999156545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.472831046124313 0.982078189809851 817.805163736359 27079.7332654691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.679585864510954 0.85706777704356 236.188723102913 1347.08736344314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.319846313968642 0.307149003738538 88.3753878947906 172.036257511446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.252026331474246 0.19249454278856 91.1134661077892 65.5184868438373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.22679069952227 0.150583866895067 73.9695997608844 25.8506995590835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.75372472324088 2.30491179232017 14837.0392168344 11796.8107919618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.16578945993587 0.363751258502852 3154.72979667383 227.754876710886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.785871982453092 0.230301846371004 1476.76858524255 31.3477791114057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.375925171591645 0.21554839145225 106.289328152082 9.2719474660413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.59844931716281 4.48327636924092 23742.6053203468 133684.466790038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.27579006269848 2.75073197198987 5823.28596175863 57569.7245767281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.45800555670146 1.97433028563413 15634.0444231327 33480.4648611152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.588274019659169 0.313489330375762 839.839844587259 166.579409823108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.37616889383962 1.28804736008879 1418.00228088852 601.765875445045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.598488682617195 0.585127945171806 294.094477181951 192.480734026996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.413473502377716 0.357738140944076 171.709433437174 41.8268313724666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.338625502562889 0.276337152730155 113.173605207706 14.399458051166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.36623859283192 7.33439133307501 61920.4781097557 69178.6920179445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.81351601731638 1.89312687982605 5671.50001687577 4976.35945209089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.909835384295479 0.833193451448611 822.847578634425 534.182678441606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.607470658140498 0.502453397963875 208.194173891983 83.7116632373121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 46.6418639144158 109.786269518582 41814791.1087196 344885743.229814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.2252897805422 5.02143561713696 48562.6679896057 85898.0644013475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.18542234827391 1.71336599967663 9206.97141160758 4892.69622962497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.24034935979326 3.17653597492762 1770.01776051656 70931.6824235178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.72053951415685 1.79741656670853 578.679115063819 574.507584225599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.843108120164215 0.763821613707286 209.110355551044 85.8174695717567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.571795995274347 0.488577114180312 113.906592112458 34.6365397053223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.460690021178821 0.382176826108119 76.2469106255924 18.4662070429394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.75736303852715 8.36423239560346 63352.9164313102 58108.7317152419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.56754108234561 2.34658344974763 6296.68863464086 3496.27797367206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.2425011170558 1.26722324921235 1273.67638764892 1133.44864025106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.666079949503594 0.730552826121333 123.352079960086 185.917593063402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 28.872705108369 12.7833298975608 2921544.11765801 269162.164273483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.29366934539467 4.68202524524538 99601.7254034376 33296.0628061307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.18171203177078 4.50200229106211 16756.6039750596 65758.3480183602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.42336561368383 3.39489642910618 37170.2036294538 26304.5437569176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.577585608630021 0.512697178087266 410.405298330812 103.426158143905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.257961486673305 0.219814328979236 113.482235125113 30.7779701977934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.168732963028546 0.149216809998586 38.1585302836653 15.2253154759247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.139708824209358 0.130064521656043 13.9271599081432 7.1722427055592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02356132440668 1.32491009023624 1468.39143867737 1928.79514015291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.432196718080924 0.401814741554526 297.335224478951 258.800146342372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.251652419094362 0.344181083107015 36.4528222363525 320.977237607471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.221328199426669 0.295051532008874 8.51158201050311 143.262624753458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.8738398320693 2.18233694818247 44306.8480004479 51816.9323295766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.728352642845672 1.93653632251627 2318.42484655396 62705.8757820056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.35224609154031 1.28172537238719 282.476604572128 11081.1414018089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.226463503691648 0.660800923651701 39.9023442384865 2218.83974930182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.758756111403451 0.797700943913488 485.720951741732 590.249973968343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.325751674069388 0.297256512946924 151.483686895583 28.7280331550669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.209098819609378 0.190235662250759 52.7142151703152 12.4526123139806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.173647259589607 0.156799575390001 22.9604965881047 5.03887776124982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.52399583963311 1.91801978895751 20844.4982019602 6223.2161082216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.675792701659207 0.527981904272366 1470.02356880721 220.606641044238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.325265273330368 0.340492402204109 111.839824160273 49.5635123555493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.260492965945261 0.28529348729745 12.9500228924758 24.20784782586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.43541751016069 4.83189642585276 186726.477422253 125996.789674206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.644868429560209 8.67310610651519 456.912833770769 2571204.76094239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.899035200086252 0.536765189695476 12557.8411030284 384.947916300856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.775639037542947 0.418945041218121 2535.73908834342 132.977089665602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.36365633795147 1.09769811969029 559.501559652998 130.263865301663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.625111662417702 0.521188699281117 148.727223706088 93.4507957463588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.395877363080908 0.356654936162886 52.543179831977 70.3427437874909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.305649843710385 0.291683120605801 24.4622876845502 49.5814352562124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.90023440571931 11.7673377424156 131714.875319097 643093.227159333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.70546831712901 2.17019064010337 98756.2778171981 11622.067326957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.0624415318396 0.972100876755925 2008.46714973983 1252.01018975564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.4704536415193 0.611143992259129 71.0097351344329 446.253914663611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 43.2067785726266 31.684018993808 15687391.8164733 4973058.5351876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.9963841955694 6.57997614143711 1038542.31800422 198425.861154181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.8596763198831 4.4716641713273 32714.2018442176 138290.604907472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.73523494137063 1.62812633388144 110166.236575571 21032.6049049323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.71368845697122 2.69416383482667 289.888411701698 314.726961806334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.35606662094345 1.30378890675777 220.214577427118 138.449248094291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.954102543245364 0.854913041232714 177.421502610724 61.9970030730961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.704978018692534 0.642202419724807 49.5721792929697 30.726139839257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.2495942744028 12.0981671519115 106066.381552463 47048.9262500681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.01803738405326 4.82067994376688 14829.0280802286 12695.3087135126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.41271714681023 2.39768491618108 3735.94678987653 3116.31508104143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.24163686066439 1.24088441926598 388.73387415932 472.895179311704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 52.3030589128316 52.0617658025318 7127075.41226297 5478997.51663015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.1637944090591 16.0238336052006 105574.551345129 586049.938458231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 7.47097653145293 8.57611907031171 105672.241483657 457480.867913864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.25850186094483 6.02890691249916 545431.924048043 194149.231076827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.95147299578067 3.80377488565895 423.597917284645 249.10985006388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.91348808149677 1.87450320233119 169.362792352939 129.296422223705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.30746419743657 1.30745523735569 101.504912885087 106.402928377036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.00760090563474 1.01152332720752 67.0678907591216 66.3059579688534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.6802988850714 13.6139378131676 43887.3809882045 21863.6200281858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.55493082367266 6.60427030538297 7617.53641496637 10885.3304083585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.77873455637426 3.56891501764674 1738.1361030827 4132.3396564403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.72655330711547 1.79229803205664 486.853435044691 632.67776626776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 49.0054985210449 63.5077028236671 2463019.1578051 10369395.0578845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 17.8276980867172 21.1415394743048 398138.96496373 763954.941211842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.4671827745127 7.74193425707556 463755.108141659 37864.5696287663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 12.386744340659 6.07910123819681 1037878.30169899 27561.9755952893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.115747828154192 0.115493667915838 0.0652701614017016 0.0558548887644518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0535931158867507 0.0534735566955506 0.00948213311380211 0.0107120530308786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0403082908108207 0.0401950578285798 0.00347339409724181 0.00631002707988926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0472397554409925 0.0471956204884927 0.00372493384065485 0.00933492503792896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.114025790015914 0.11411562964439 0.0531845537010206 0.0431787457716755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0696645930510433 0.0692354401446848 0.0148561304662683 0.0150949039465207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0687085899362955 0.0682384539418003 0.0122827591183366 0.0154260249575245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0913805256644493 0.0909829726450409 0.0191683344094638 0.0280105823864757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0887972238575003 0.0894468292706936 0.0349767327038279 0.0298911564527474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0322842407784447 0.0322582579570803 0.00198715183640035 0.00420096917953332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0435499813513394 0.0432445363952691 0.00263206073743218 0.00907313442586141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0676655928647046 0.0672021500637953 0.00560135790615028 0.022147850163285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.200835158801409 0.202976630583215 6.6098092833628 11.6381705321177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0896112296013982 0.0835691046572387 1.77230171133614 1.01973429290752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.06762832660688 0.0610065115381354 1.53939173611787 1.07567508938051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0709754193827209 0.0631938015759835 1.44301509757535 0.735862237198212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.495777123397913 0.68568570762022 1260.82069286288 1647.50156296788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.142800273001631 0.315219255704072 21.5737787562896 323.060797051549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116644816661589 0.234706648624802 9.31509975838448 194.130441706303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.131268874159883 0.161680312852916 6.85926097685786 30.3499245268769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.727717470426141 1.3769077652134 4738.40870903387 34315.9449497706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.164270545128124 0.435068415602398 444.324347906164 1348.14825180446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.161155611106637 0.257791876778334 256.771892206339 454.765754002428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.173764947654984 0.193488553420901 273.223868248568 110.549785550831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.340338526603792 0.260377645087058 89.5000011676179 6.03688087408207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147960075305679 0.111949306468799 14.5224464117785 1.90332164941014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0984915826176698 0.0774909348127869 4.71049249404679 1.31201648607363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0924385308892249 0.0763127212763961 3.10602067408047 1.48084719247459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.56676527407387 1.12512287821184 7267.68770422304 7006.74217043281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.391775761188528 0.312889303157193 207.132803101552 347.349271189077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.259281373953065 0.195068066309597 79.5451271541624 67.3609326433466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.210293132939548 0.170942645854176 30.1769013621649 21.3083651547807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.1386581843153 9.738149181205 57613.1050940742 2716025.03904803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.27511512679362 0.507792224388312 10420.2822813714 934.768626761621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.539685103353192 0.713347960648625 2025.03613880933 7687.60058317567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.404454119852929 0.705326200323418 617.223289815597 7954.06062026071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.402981756988927 0.434823308225526 13.5867159075938 37.6064187202841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.169569638003609 0.208022630642442 4.34953957720207 33.2461363312579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.109041480613222 0.139415469225775 2.36339360118836 8.41177735325396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0953067611887062 0.124707263291963 1.70475986510933 5.88808418579355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.08411738945297 2.28126104516169 13309.0905683004 16082.5030431949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.470200186114696 0.594209061762538 303.355286059718 418.854344738214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.255476246961353 0.292099744681178 60.1017218052353 60.1221098451909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.191491243364139 0.224221272984007 14.7614948464311 16.9145692877189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.95627883050569 3.88232532653202 31668.6092385988 100825.900920171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.78481827624308 1.02187615707458 4608.01388296917 3767.13830132383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.523420219366471 0.370486831938247 856.274141096821 268.649027739014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.294582596485552 0.378110986168878 105.574053367597 860.126081007015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.03577301361904 1.05858746790347 93.7936636426744 195.168259998616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.473944434170444 0.496986883397 35.6539330489375 169.876107133861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.32018873673332 0.325450943569684 21.1913140171406 108.524850140053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.260202671582912 0.227453970004038 15.0024173577105 11.9958295158405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.11309774685193 4.58515207417248 102348.928009663 35732.4759612376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.83825278677892 1.12394806386828 6959.0890752356 1696.7377835361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.91119983338909 0.50191250719466 946.573113819959 87.6677717920631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.565162149096226 0.348312238547576 175.402544011659 24.2464037020038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 11.0879247281805 9.41447605360132 768197.117547877 328615.103208001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.66020448536557 2.8131570764575 94886.1726795541 18699.9905022501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.40874993637623 1.79485782049106 2722.31410239174 12664.7301202213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.22566266033181 3.58200826165003 3270.9373655898 208481.834239407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55726955610354 1.53459022670425 239.177066431939 311.541137716674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.700249951240046 0.674870132561673 68.1718760113391 77.7276902642345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.448827666036549 0.432035945575362 31.0506644014216 29.9814440793689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.346255679234589 0.337730666210729 18.3333331930974 18.6724629860151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.36360902674595 9.80448713656863 80796.4969612135 92263.9437875106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.65122834640308 2.42569857439114 11796.6604520414 6003.94997274433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.24112022441672 1.07274488931337 1616.42230376987 1074.89691241655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.673196853715435 0.644240737831142 144.425678272985 137.126511059203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 17.3511499369187 69.8061630680692 873810.632251337 115117128.073259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.50777760817184 13.2277340977827 113139.855447444 3953803.08219408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.9995521285014 2.86067166241839 3446966.52098344 13181.9136731025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.61407273447074 1.94069469301634 2294.50851836401 12346.2376666213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.356058300134009 0.336311306716546 21.9540957122415 7.53471236922044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141259032252258 0.140456975670044 4.61425778450715 3.98284662085232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0911513894631913 0.0942699937365775 1.84933241664803 3.51956070596209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0838083159481535 0.0912592487312677 1.12143779577365 3.82198440590245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.80027242257685 3.01821152377578 72887.0773010961 94042.7561446888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.571904828145319 0.492525597790462 1512.9400534049 1391.47733839916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.199410323691016 0.271306629624863 67.8345668700201 204.406872331172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.156279289149303 0.198578399140784 11.3833583055321 33.2764748199249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 69.2045205958399 10.5402155804089 139640231.054752 2571594.15598185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.973464791666193 3.4271944102996 17103.8114316399 155270.511355292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.376533566338806 0.707388694778667 1508.87619623157 1969.58653730708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.243043228820522 0.493101805933619 193.931320586165 1662.94606174964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.687035840327189 0.583194656926087 160.472920785843 19.4027969930552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.278460083972353 0.260706671473885 28.9687940859328 15.1292409069876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.177575540364801 0.188200951122879 19.8657363926883 14.6448533381344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.150785398675787 0.155375814036177 12.4766751047313 6.40525531545652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.36309507987728 3.5342028268941 40815.9850159638 47529.4369236284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.964573390756274 0.636823452352988 1339.70688530794 284.820885309495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.452808937653167 0.365475735347188 223.192957072994 55.6203778141143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.297313715157037 0.290114782128461 45.9562177638965 21.6383746730253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.18897099872475 7.42741250700063 121915.090115823 304342.34453505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.70721742586335 12.4858084589878 7820.01647987076 5736237.82830913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.968776960578201 1.11473885012505 2080.56465292969 8940.25142763974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.937638253855559 0.917355882494636 5413.29876571045 5510.35609846607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.00292873658099 0.984376179905412 55.7225949861236 43.0176901957094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.441094728328539 0.429266561522204 20.3716926532984 20.1403768394253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.292017224296048 0.279179561888503 14.5724286508339 13.3920985314399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.24042204670098 0.227887121593173 10.9905413561861 10.9793562940969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.32773338987426 6.14799807510496 55450.4125625376 45095.2792672555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.69478919016503 1.30935359556287 2609.35170906744 2862.52837574308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.829622450183005 0.626197834866945 548.63537158547 375.929853060979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.433778934639205 0.453352321162498 50.1264164617438 96.5863167619699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 38.3905216513184 10.4092643511253 29933886.5622981 303037.692067322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.95594605127771 2.97159378035024 75704.006730818 18473.2952095613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.48298781816671 1.35989342431539 105345.080732825 2620.60240121016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 60.6221594832559 6.90163286135817 191298977.54209 1723518.95091963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.50496064281153 2.43146397916641 169.716136944537 161.505447575961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.14162829791754 1.08476103265013 82.0929930521676 61.956194763089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.748342489624348 0.720343350475586 55.5267747167395 39.1932830157835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.577275254026101 0.564802350365987 38.0324424121441 29.7831607152925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.78155784405062 10.3802031160168 25433.7754065969 32379.8420336955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.2904936961389 3.89704851781259 3474.325382661 5218.02528412086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.62690856954302 1.71595493599723 1051.56518499398 656.259816779482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.00862626054814 1.05140122447228 186.461706978102 181.476090990758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 55.435145250397 33.1260894313148 15020506.6727104 1289300.99012009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.39472199646415 16.7380381509332 65536.6430061649 1420045.24265048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.76376392118465 10.6258418150285 166744.158795465 822631.094781015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.70203325910813 4.36637678829782 6232.3640693559 84715.4307995821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.78538028364856 3.72089775306412 348.195281543333 313.145323972696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.74547978415929 1.72190495562588 122.372264366726 134.262648460913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.1643784819419 1.14615714845713 74.5705881940528 81.394439587987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.896722004239202 0.876498042302822 48.4496636868863 45.0414965747421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 12.6026966751902 12.4238163237054 18714.183416496 18996.2046601768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.41275244147062 5.24520369684913 5246.05931476437 4836.88802077489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.06418090095781 2.70549278043517 1824.15143134779 1203.44943414567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.79985552426619 1.64697023808133 417.924373902371 341.484576937678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 58.005999168504 50.1278844186338 7232545.60736281 1936934.10939448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.7460033659666 14.5174009460258 703938.952442732 175411.729112921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.40165432357601 15.1641284068437 69761.1999428711 628035.80056406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.30924928842038 5.41793388227711 38357.9117807464 42107.1711682719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.25507139231626 0.21253710210158 0.254073823541972 0.150913508295328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0848417584536695 0.072047726572699 0.0239389159861645 0.0194186461591584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0450085268385355 0.0400644157683455 0.00623818406924391 0.00587291463984097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0294856506891406 0.0264129545176803 0.00254920026345218 0.00245138793303835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.225701031057404 0.208375214665173 0.168028774315033 0.13660671955531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0691935908221442 0.0565472336121822 0.0171737294352246 0.0121167902243951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0408250881323007 0.0376511666879914 0.00568743614211905 0.00580107336539761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.033190942284515 0.0317697145362758 0.00365317096887975 0.00430116271745364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.148180237798934 0.150115334623249 0.0997387122365214 0.0779078903404464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.038047254893275 0.0357789248981272 0.00529504155710133 0.00428582268444124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0227043793726376 0.0211291684674134 0.00169908633500939 0.00167764344873408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0189835883803039 0.0173371098008895 0.00101372390604147 0.0012471804279938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.598772373770578 0.578125827107866 37.1746028719429 68.7309069634053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.212879848786961 0.197171756821463 12.0452019047562 11.864216843174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.121539380146555 0.117267584950195 6.36584960671305 6.31056257011498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0822953120223536 0.0799769025275212 4.31451985048101 4.56965215355188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.36362921995295 1.06557752062089 3985.11094367736 2102.77280307981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.3418381600598 0.397287983571407 155.401735387184 286.482061854504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.202579104085371 0.250589020887278 59.0127052488801 153.030721116301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.154073882743002 0.175763827367967 35.7598508969656 94.6686154964772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.78643277305582 0.819529606887057 673.271010335126 2667.78553947679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.375340332548807 0.284265292341917 710.64605723512 162.86760211982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.177500286770994 0.228718902542244 173.035598112932 118.60160817779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.100220029917299 0.213881201578929 12.377640602544 114.871506608847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.69763355381489 1.27434466479177 7147.66750409461 1859.12308187648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.791757213060924 0.423170417631373 2749.75239762467 117.675571638447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.51913575222642 0.253760256944065 957.84773618399 62.1892764303433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.343811408157861 0.178472935701394 369.06540500288 42.221018411366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.8136542300901 62.2742480255398 804274.279602181 33159266.8523988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.9519218246219 22.272873657136 14753.8631433082 3992142.65107602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.31584367479394 8.00004143386028 6317.47366852147 596302.870178022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.898002593917073 3.05022887060122 3153.27035976518 84472.2142019606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 134.681796018911 170.155177450587 450488825.272133 304440994.050487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 399.391586142465 442.057822035601 5482584819.65001 4313979263.59054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 11.4843342212932 79.9644154664392 1617694.45359174 153260688.61562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.51344655731446 14.8362373532341 184225.160943106 2334756.73818872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.73459045340229 1.64026792890753 250.827992485447 146.869048454374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.625103669966548 0.596107533164018 48.1764683028717 38.0528193810378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.385079934588536 0.35874114702144 32.2843920202154 23.2078576964023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.281634956754396 0.25234050995132 32.2335038344694 17.9849128810685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 16.2256097902264 21.9676820144506 1711088.12681777 7846229.49527119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.01866430915415 8.25730409405447 6793.68997691095 566470.743525937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.34560581521584 3.96151457925152 3372.04399928288 101336.63055521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.962241795915456 2.48256654690213 2050.14645571397 42966.6940267094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.82077361239936 15.8819172933328 143461.803469768 2295528.06029168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.63407888065026 7.17123349459645 54365.7733664218 517834.448447578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.882255839103741 6.50176918516106 2386.07296750562 367699.819882913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 19.3143246717746 2.97589914115172 9004281.49755782 54392.7419543849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.3773698592435 5.24793249780613 1274.28065573807 8189.08670249035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.81515584452083 2.11267903170162 471.148194337853 1223.36051311305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.15881046401305 1.34242335594245 245.308758526973 517.671420311542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.830861999740002 0.959820103596203 138.091573810826 286.244695173508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 36.1646835328823 72.8617584584648 3309841.93847397 16834619.1393188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.92064756717733 15.3387466098739 111089.543367691 429907.172105141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.35293115317869 5.77622089889994 24872.5931005967 50158.7396262918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.59945870044272 3.16898305380046 10193.7122155529 19354.8689326134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1330.99065058132 134316.744547176 47587339241.7666 661941017383308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 37.0288627032198 48.1814599125315 7160870.55293358 14801901.0620912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.76506296662548 17.4106961734519 280875.105704931 1209412.03908177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 27.4373424913699 16.9743895021365 9250028.44940804 1423376.77653688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.17055051652503 7.5234658389821 5234.18730372227 2721.19914174442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.99112669959335 3.34994335901244 1295.78661900934 1116.97241168134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.97548000097043 2.28067435631668 1023.82725530604 787.943658398522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.4908477942726 1.74458013620707 750.218699236678 627.552464098738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 49.9923786760616 55.227723495446 1870727.02088417 2675872.79883241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 25.9767134270983 30.988458040377 1189873.42125237 1409636.45867547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.1688332822507 16.8831412276639 681164.534879529 372948.94284125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.07419077673854 10.5878311716627 325258.390257643 131667.222633072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 510.415196257439 148.954866788745 2691278029.9067 121577745.135671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 52.6450430990621 107.098496177108 13835672.689408 80324088.8890156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 51.8326750826983 41.4034329645111 25550458.7383079 7096082.15568248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 649.1003034998 66.136886622126 13996053023.3186 64862185.81409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44978437309318 1.48165572391889 231.693232494837 473.29362229893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.52073185317918 0.550230780680261 40.4368575169182 102.488735519943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.301677380669612 0.360122761137221 22.3602385016488 81.1661257824248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.201348945575422 0.276133260535528 16.3559662189056 79.6528101643137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.38346212393856 5.62319446958012 216243.491458958 116668.44010265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.89823802507122 2.47599663625199 15804.6085899104 28511.6586705461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.838780888940125 1.39964245569658 2586.20056534109 8011.76613114957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.498746923791439 1.0921675422758 954.303038144322 4471.42565426344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.37919658068135 3.71321660896978 2849.67328401638 53505.5171940384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.954491375832631 1.2134103179299 1841.00134792184 5762.99894131704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.871192401340574 0.991270988710461 3682.59990128462 3960.04103801091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.771143251903413 0.803212282215412 2036.2181757323 2676.09091709708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.79168053670045 2.76421096101237 635.917777381278 1030.45056347098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.15605602373383 1.17342485234848 273.187691740112 297.212165566198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.760657326155695 0.817004938263262 201.20951210477 273.883954053578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.557647478526317 0.63126266953699 148.168055641933 240.139471794637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 84.8395049876146 50.4670128787137 51880152.6735482 6638633.33415517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 15.6112733592942 11.9455851164726 1276583.3107152 548927.958310715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.97954590428659 5.033464650775 112397.68321349 122029.034567895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.06854652362016 2.64180041974997 19624.1592077587 24930.1900257657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10047.8879616632 71.2133327250023 3590636409843.23 41875556.3741286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 142.714615807696 13.6725113486394 299737575.797136 837272.684768884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 69.6742671724889 46.6412394386452 73213606.2297881 42666614.3004742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 21.158217186302 32.8469147806732 3498466.01176041 11725407.7112724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.01880846049844 5.71412749066591 1216.68763981959 5078.76593490006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.18346329753979 2.40009826657024 503.242556954075 1424.92947550303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.51347073794437 1.60943015185326 428.984903635423 922.254835493232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.16998881493858 1.21382977237351 354.079284416901 655.786326282586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 73.3902260009437 44.3205333234866 13312034.6595195 4363663.99698763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 36.4561727365638 15.7468728594328 6409748.13330123 553009.963495476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 24.4526504726528 6.68989071843468 3990489.02264452 65421.9114820507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 19.0633271115803 3.88572373987731 3056222.9311199 13774.8549662107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 221.785086746262 372.363970791349 455347350.500364 982473532.95451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 87.2704156199086 58.9780903844284 42006262.5058191 18504516.8903938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 79.731800847678 240.296337565762 52130317.6519 1866744519.62706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 23.7826657342344 189.043260770033 3169452.04918234 1135264096.70652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.9027074868439 13.7472072876562 11196.4817921565 10546.8629851422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.99578800956172 6.3697684134557 10900.519966589 4406.44584680215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.11122568536706 4.3870038115679 8879.37292110004 3329.85374319546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.99376380199313 3.41778000493733 2863.05858054502 2673.01846675518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 67.5310077048473 68.0188429765923 1060206.31482049 1094549.19748372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.7081601040246 35.5774877767992 299343.925263617 445338.133461933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 20.1500585843975 22.0297990774703 205905.982626339 238613.877741058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.5730115108559 14.4840337901164 69435.3397873759 135933.537424346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 692.992596487076 274.978672946527 4306845546.55949 229561086.324519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 106.353662802834 116.531219396366 52161708.0623693 23700894.8820754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 59.3564441562202 154.746950625661 7298103.24698739 326473024.487746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 40.1565596205908 60.5492964619879 2579354.48785138 40535717.5007251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 17.7841364180957 18.5867296763203 5531.28288152986 5339.28579978681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.89299052919561 8.56377348106296 1983.12129306496 2726.69633971126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.36472752684892 5.89058656684746 1353.35925973028 2038.45326416794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.17278885123852 4.55747680672204 1128.23679311705 1699.50062690471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 69.2740919624372 66.058082570154 629870.336403978 449890.408835909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 36.6043412871656 38.8351198325412 286561.445351957 266025.676687756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.6248678295547 26.1312239255814 165719.259694848 149420.134915271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 17.8536924311254 16.5148841183717 90047.3105587144 65737.3525353584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 298.709717661047 233.087555641098 111335616.905762 78469148.6915737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 140.079211433773 68.4772363204264 36880302.7751342 3507774.04402447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 84.5857916881951 112.889866691843 21697934.7307768 37274987.3254924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 42.980608842825 46.7467554949107 3160905.26145493 4171172.15863635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.388771208980423 0.443575865427719 0.514922635385326 0.628491072878696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.135600442521944 0.148424757841741 0.0625686370355784 0.072497706646575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0760350211978875 0.0785063196021817 0.0209496252581657 0.0202797902135725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0605996653321235 0.0560834071878988 0.0153136500529085 0.0107875860840234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.321109649405311 0.344245675196332 0.402181395997562 0.378991300331806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.124340808961008 0.133032539242506 0.0658561833718308 0.06460293960925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0969336147284023 0.092563560840837 0.0452903667049564 0.0334093386752624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.110132281479922 0.0968798358873917 0.0614208525070757 0.0371548177180493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.216691868302125 0.232904956256879 0.181472828711588 0.19459228560232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.06914476546777 0.0750302316678847 0.0175905492408395 0.0185559556282061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0498977580904933 0.0492118474550016 0.0109399841520233 0.00780734034159099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0567127129340633 0.050352259664326 0.0158537212762607 0.0084876231255201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.793404544985381 0.795533191978966 114.477479368244 22.5944788644678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.305515264816563 0.281184763569363 50.7279721286228 8.68544313473459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196760883312275 0.164092333196277 39.6160608925554 7.6250463097174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.157151494337747 0.12117152825754 27.1045008784508 6.85061250381367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.14803760488787 3.61574274320266 104993.453053694 111387.622235542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.641840640662669 1.76116632288437 1914.40418547642 28609.6657406381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.35427376560535 0.874364200289141 241.140801099174 5052.82855302272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.274662847398504 0.613552747918921 69.4636320850989 1937.58094680776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.21763742104491 1.7615335345386 5180.63893764545 9671.76914141388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.629530190991202 0.828256631857285 2287.09579437664 2656.34901949329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.625266857771666 0.472098347535305 2779.346927799 603.684307819501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.488314710260928 0.472880906368084 1928.91567981135 764.351817867168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.31595762225797 1.31836071460907 305.280174303804 256.531580131807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.45353973105299 0.511762021033761 43.1151189154663 90.5096112408164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.264672544495292 0.319256163236216 21.1400910635006 43.2869872369774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.196765371618799 0.279478003452496 13.7024459043225 65.1019658958561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.0098643554325 13.1031000196656 1076906.42347353 1848479.97373969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.30340199207095 5.59308145266631 7155.07628480011 297802.412782042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.556822457114913 3.91809992754502 720.015053052135 216753.860144461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.328386459247229 1.81319783828056 106.325598548089 22403.5420505933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 9.06354246572598 8.26713453227996 1062075.19533788 762462.957746206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.83616769326441 7.98122422100741 573974.349446215 966927.349992754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.03238237909915 0.688553523782321 908368.711379648 1054.48936211018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.9985798744221 0.733265097116658 170941.402781115 2099.16488173097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.3829773522419 2.15629539052672 5960.32242473863 292.28917747564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.00666572866205 0.874767321232335 2264.83340508852 157.323535647864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.665551613262631 0.570011043923471 1309.30609010171 130.067004859767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.501217179894783 0.434399860307671 620.041692897248 87.2673145329119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.5190041582101 16.0647364195263 215363.705548852 559207.391817813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.15691256143239 4.85206711505393 31659.6752413066 38845.3243984094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.01641710754562 2.16954366892901 6958.51860025875 5907.69889800225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.28974811004548 1.33996891093893 2852.75802248484 2075.22318666867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 38.1867101279975 62.6452882585663 11224536.0076161 96874690.5239366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.8858007235443 11.2033771949906 862830.886738686 578716.209020357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 52.6674155130065 5.3878266359188 95738340.1312774 84044.6771656723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.01167060605598 2.75554297106426 7193.71122797477 15469.8256704616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.2339541178188 5.33035415460926 2649.09377408546 1446.05018158455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.17124281886107 2.32264045416802 1088.27458174577 800.674078534105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.42575238115186 1.58082395093079 694.52193160874 611.705561948306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.12931141101375 1.26190142970356 500.372544852317 442.692398663345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 44.478109174108 73.5759399081742 4283949.67612621 12697428.7390342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 21.7895654442324 14.1958086520655 1593920.87763625 217653.713970511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.44505501190194 6.82023259562267 210770.483281113 95553.3128575774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.03403668631474 3.32699086565935 48200.9968002598 8809.60155170385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 265.186631270608 151.654150013017 333856804.014207 89464506.3813543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 33.5463471615997 42.464963494151 3866345.70735665 5751234.66491441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 24.7085975789761 22.9897822435499 5273679.49378532 1742755.68250874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 11.3923241150551 16.5008963032885 273461.276870712 1716874.51944687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 7.79280735857258 8.84162417944635 1845.9876109303 6137.67750489403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.29895194087016 3.90371940173603 884.408254581241 2006.55053849734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.22081383750698 2.61279548174212 700.202442477033 1261.91022760561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.71401371641007 2.01342562055629 477.434655461972 729.320332953037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 62.9135181963439 65.4952162834262 5791065.46920449 3893018.83911868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 18.6464823314179 22.8215128485266 179066.62705262 638723.018486791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 8.79253023199803 15.1385477800054 41955.6468530972 347177.539431661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.27830013525236 9.27246417577151 15130.1554454966 125432.522021951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 123.572624311204 179.890992364352 43167491.829108 71730417.710729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 79.8316295907963 129.06874091383 34435361.8066027 123951939.578515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 250.927008498144 19.4103117203779 2432238910.68396 565639.073355625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 20.6388849216769 24.8528518944066 839139.155329899 3937228.5114634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.63996176043804 2.13629829535368 189.40546825483 3145.36571065369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.603820371147918 0.858359338183366 48.4761074891967 773.571648067324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.361581646444209 0.465445913078727 26.7373468390222 77.9687100699979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.277281831182313 0.341426025828296 18.4351572974647 41.6507198915041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 14.6613417937888 20.8793101684726 903163.519940785 2149687.76775134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.28848906640556 5.42321540826735 79291.6434779744 77819.8132717871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.3574579550466 2.44696278334836 3599.66820292709 16767.9023770619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.820870393766617 1.30397199505425 885.293909668662 4938.05014098708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 22.2294194228695 42.5264635776514 2544375.25611024 14599292.5826386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.6869027540754 89.2913863093214 681301.599786743 349290794.004321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.30203497775056 3.43554051709552 31573.2525369332 38235.5646669843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.48473351029128 2.90365183853053 6261.27394107046 42289.3847835023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.98549038068632 3.18042025432191 717.277830843021 1116.93151521315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.19249995508155 1.27730377351952 407.646193658195 447.945993611653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.743832866356431 0.774791820426674 179.971606586691 207.752506603662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.573509147427949 0.568092346642683 113.774240703067 146.84148896722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 34.3350300358634 30.152562601732 3628808.65980325 3066786.49944604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.79242183757776 8.35185696755677 210912.261250685 211648.450578537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.58585953120707 3.87020510045687 21438.2572588975 40522.7254669519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.08364153395316 2.06118057071226 5825.79011667095 9941.31688549368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 66.2543229114599 60.8601978009631 19367729.0164365 27630999.4395658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 196.439167671482 11.3265432734273 1283791991.06239 544348.555863701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 29.2207030684214 17.0010665294645 16258478.7266626 1825446.41088695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.19549285773846 15.6051431371319 120729.887568155 4882846.66125875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.69864478783711 6.10118152164235 2018.48736711944 8840.94126285667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.44830473280474 2.51986520818555 934.656382630764 1957.46684341345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.64129073892618 1.58615547947561 616.724778547264 546.572580370585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.27827895111811 1.20779701543974 400.397549503984 322.797134942346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 45.0863134957689 78.6322172394977 3726489.53323106 18514968.1870476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 17.8829390596681 17.8904817022711 755992.76207886 568231.039889135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.88329949969558 7.6795149135777 83421.7521716582 67781.3946311502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.25479672202333 4.25610120307174 14574.0757913391 15823.7672563917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 651.192656041948 254.250861652046 8907624141.68397 380853933.241596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 33.9518553888323 70.0446423420838 2996983.71838402 61196081.2689666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 37.6830411233869 211.349244089215 10796776.9415159 1785667157.66389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 19.6022404550412 45.9931798577756 2458686.95161281 47094184.6415248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 13.8372704863886 14.6860347681407 5349.11128249358 7443.9237364311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.97643781256616 6.68246896097462 2494.21533044465 4085.11200573627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.96244685724774 4.48202692587205 1681.83460979896 2596.34867385972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.11164865356374 3.45150242458444 1236.55882173181 1223.58441891677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 65.8865101024832 72.0088166520113 991178.226986475 1488558.09889906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 31.12594330016 30.4481923215836 352745.851621498 268456.452657419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 19.318306655751 17.3129957476828 211192.788162624 123403.920154015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.1849478886055 11.6927224224919 112039.920607354 86618.6533946075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 235.377055493995 277.651722246781 140394635.606204 283131964.106371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 112.036995385595 103.573118194111 92979405.7242825 44622127.533389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 42.7160262914806 73.7623526369172 5108353.23841341 13752799.61609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 41.6206973746592 41.9486166066653 7007482.49664252 4686759.58757835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.0864357984175 20.6693175116257 8620.45539594118 7396.1368655842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.91619412189035 9.42691348174157 3642.13716496903 2796.82290606382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.95140778857146 6.53128270511016 2341.67498517297 1855.88336211265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.60483723048144 5.214882931685 1449.01922875322 1413.43590552146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 75.8427237179482 76.4195888678309 611492.695662412 534671.509766801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 36.8917694213145 41.9840690993761 216417.414705336 252274.634780629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.8468937658978 26.5712195357363 105053.662367587 134412.209960196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.8383058569774 18.4620770207279 38309.1594179652 90985.3295581173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 304.931458956993 341.039153385447 197115741.442772 165148095.306708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 138.894339813256 342.480216261771 26709520.4487848 1979130076.4409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 70.6494763542749 61.5898299331527 3420373.66855098 2078149.72234026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 54.7085087747778 79.2868667758647 5571620.70131194 26878257.6465557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.187615674245391 0.185520309054962 0.11317434169544 0.117628986955213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0624456096191253 0.061045337882763 0.0116735048674474 0.012920322262877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0327191794434713 0.0314226218782977 0.00320155159670756 0.00329635326550154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0210395770606859 0.0199922162354296 0.00142779765423615 0.00124984263158375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.15285644369076 0.143877086065861 0.0966267849427388 0.07596647789013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0541915039420631 0.0505146446198676 0.0128001380215596 0.0101308961292164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0289880025582902 0.0274937295129856 0.00410918965772933 0.00308387356023932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0216479184211428 0.0205811769937086 0.002652500946454 0.0016696359755056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.100441141966846 0.0969373858884862 0.040951133687089 0.0350999849131951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.030413945142453 0.0291719799386872 0.00288715317201241 0.00311638327037657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0176500293003814 0.0175404110953227 0.0010247552539748 0.00109964418566033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0138739887475146 0.013442962796978 0.000713066900024894 0.000610411101496778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.798286424096586 0.689240011892604 333.485976423619 73.4642861979899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.24769661672079 0.246505841590554 14.779817292406 26.9325868479386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136678394483863 0.149746554198412 7.34022555946604 21.900004443329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0918536941386923 0.115490485589818 4.73119828705821 20.7359275383746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.42245785740741 4.52355972481662 245576.749701557 166588.366096169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.41472842384774 1.76331720308672 53937.2925562563 29957.1717480469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.57748766121123 0.416709728892505 20659.0512249559 420.63748991338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.09736098303767 0.283687374945161 9136.54478845808 219.108880100945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.48123027580255 4.96639608784848 5333.26214988402 266195.516147535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.62025604774097 2.34831989915766 702.376755937858 77360.8459635274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.529306478880356 1.17275671888689 1436.97368918301 20228.0566986612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.973284197928041 0.604251135251052 9265.58550231131 6243.82427996356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52244786763025 1.50689677179543 998.688816705817 893.537057621203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.662200150500584 0.61810368682762 513.745806402316 294.760954894776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.462495657001127 0.416952073105932 495.796168170277 185.181065728783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.365260263700755 0.34944133907564 521.944702826726 155.317381636534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 519.126474015813 417.508008815024 8132617189.58248 2583379956.09238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.77404702084934 64.2907753875822 919951.92986697 64089047.5269397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.67017523417371 10.0789021848906 277399.762102147 1777557.96644159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.54040382973641 2.37998530164392 283684.090409274 23116.4063608877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5075.48888515626 3015.57759130076 849767239145.813 245498409056.95 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1789.56030731984 58929.7053640611 54917908864.6718 114688744116611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 440.828220378144 29.8716804008184 2204590954.5985 21768290.9421557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 253.066086804715 8.1717935523044 1013433373.92566 1174274.47869263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.25905415455599 2.03394232476988 1665.58220776328 309.227585961463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.84148008520324 0.757369936895651 280.519576082101 89.2155216452661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.495637830063824 0.461145524864773 134.051569938241 70.2429454171231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.342944589437825 0.349578132854089 69.9780594308302 66.7350453411682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.70022047567303 6.30782134802352 108655.590959234 46497.6685730597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.07265390514088 2.45563899366135 25635.6922692037 6183.06553229122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.05505702496143 1.39010366647562 13431.8799503502 2423.95095558855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.44536246743428 0.962273387638351 7740.17942058912 1128.80928917213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.43361563022861 5.07867143085492 9995.47938062723 61588.2792287443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.81988683430191 2.80522248578711 60309.6656835103 34021.8503209471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.21713198737309 2.50700564402507 1944.30430844121 31774.0662923109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.846298566318408 1.80179327430504 596.827617940026 12686.7570150198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.48206445703073 5.79126949096098 2407.68521364048 3673.38939451584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.22876880669491 2.40854598672144 668.000503625454 1249.23268976525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.42459304873194 1.60593167118889 445.913853661156 989.738544471947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.07158895764046 1.25533563031072 301.122405523475 842.33023829565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 68.7187178986013 92.2337963863008 8603838.82763467 15637299.5075502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 46.5107916590952 37.4566710622673 5101922.51662889 6564100.04766513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.7164004679574 17.6744990498907 1880306.84278067 1650665.61878568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.4716072758785 9.50279771024461 1152181.93458956 400830.597906813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 618.797596277998 1380.3187784308 5734832077.08189 39512021860.043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 456.1846523408 148.984685981132 3177926961.99308 222782239.828779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 15.7551239246571 75.6031237045523 1131204.85515122 22847005.9087981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.6877202095685 35.7874005135832 310456.997894091 4071555.95954375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.56712218944797 8.53688501697815 3245.41434204295 2981.78916416443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.6108619008482 3.57595319133353 1307.06691360961 1000.90426450886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.3310046868977 2.17748805290175 897.544997270252 459.21363936054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.83173838268619 1.62238336299319 764.439190720773 333.496246901341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 96.4681809693242 66.069943038823 10230335.8401818 3919560.37258568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 65.12823496639 32.3336904198852 6777678.983387 1618151.05884681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 41.9734285386428 16.9346920515608 3260549.42119335 472518.67138765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 29.0208997247339 11.0734250086038 2422502.77362596 195430.451532219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 359.653907114982 207.453743439274 850172095.479711 86495157.5952532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 422.838585531635 184.687227863633 2469763781.08942 279192260.611525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 48.9003961540182 45.6493511240402 8805905.73564293 4402358.74060892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 139.52029223974 44.8706221867429 128998665.409101 7537489.18050972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.7625438862738 1.91518910174608 23324.630783038 629.072460025619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.16587359087346 0.712704500114079 5636.42015359643 123.791348634156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.668524150401999 0.405461994789242 1596.02622555818 53.240492402995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.468957693813846 0.288987083600275 682.692453275294 34.4084553886481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.9438537303505 31.3246823524728 1587053.23661801 7253697.33413537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.68517607549794 8.27192015545863 220858.537818074 512120.203082576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.2820126065988 2.86895201580565 72891.5512585194 36970.7394808659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.1707233904664 1.34165051805751 30293.2147480337 4622.99903706385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.9748781079197 20.5477507748752 2766587.30537051 9257129.58418568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 4.69188965161706 4.85775497362964 116558.721926361 290632.763811857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.40500228711607 2.92460190437685 32202.5694569133 85659.4876748636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.39370362470119 1.82040117967755 8959.60922328121 20472.1820074058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.26729274967805 3.22768267508702 1199.38809187067 1049.57265295428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.34404434085898 1.24698509205097 713.344202378266 300.814687797872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.899642447866952 0.74540777672782 793.511491066357 128.890360135298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.714214496121142 0.533460004614932 840.052466538444 75.99088312794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 41.3179077287954 19.6293393522141 9136525.15108526 1083777.40206561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 21.1086650723739 9.61173722921116 3511257.64501578 416240.272357502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.67115972566775 3.74099534673254 485754.921303972 39074.4616565129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.2721612649895 1.7000701940703 109922.85127529 3358.47447689705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 76.707400678069 15.9745161396671 74388159.6710681 414892.013002043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 33.292446057984 7.4526425522688 12594798.4676048 121438.637360311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.1572849856394 6.61770615740542 1258592.74795218 148843.742052055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 10.7276850580097 6.54824976560108 633007.584048229 304484.034425019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.70317791186636 5.73875806150568 1468.76640766577 1999.39642480289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.49867301205 2.55539534617893 837.751281142589 1240.9096095649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.71305416844052 1.74712774779818 705.913624529967 866.742797482117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.3469102123162 1.39592561483014 564.279075168223 692.603937782046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 82.3406395533961 102.379520222668 12554616.2121863 20511343.1521639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 42.030837033939 50.8747447905747 3966510.87675363 7584497.52890423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.311224686295 36.3621585048064 1079908.11577407 6090180.81220781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 13.6169480495458 21.2661868336625 476972.935885269 2283784.81916678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 221.704440864828 273.111212607653 283620590.352346 377885093.300054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 75.1294220483933 356.261577830877 25721864.9372583 2278813201.2984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 84.7992692233586 46.1784294538975 51229145.1812298 9246167.90780813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 58.9828101069933 39.6990501174531 16232548.1643994 10280102.4030549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.4081014492228 13.6737975395719 6611.23706315978 4083.16863172155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.26951181865923 5.91841103969291 2318.29072019408 1924.98564869054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.15594568046979 3.89359100721223 1651.4370363051 1724.34666798139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.21638598750662 3.07059562974735 1227.69905770997 1754.25140366424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 89.603131140923 73.011180309239 2438563.0825896 1417416.12740481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 48.8011790696186 44.3873364570372 1029278.73512022 796973.148128975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 32.382734626602 34.2651325624172 747837.46039179 830602.122825239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 20.59648303014 23.1632752507284 346637.976298715 396937.066250521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 224.625846245973 268.473417609956 125319101.843424 109038421.444234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 95.9243253091773 146.878188358369 13285807.619843 99812337.7346905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 62.315796850281 68.8197688022615 13096906.5903279 7481584.16890642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 91.8284602771209 35.0123456023865 51306200.2640599 2655474.12637408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.4107621641506 21.2992015471446 6719.7638764603 14498.8800205291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.22353581230809 9.50954026320808 2941.02875788904 3709.10361315535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.21182818463926 6.35564987182066 2191.53420173426 2441.42088673214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.94504549940436 5.00385602321453 1972.36152002111 1892.6564939441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 89.6693177258184 81.0130132682 968784.964902526 671903.528518824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 56.0062899292364 56.17244605423 532064.667456791 531572.769013814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 42.7563371817339 40.6493199453793 457282.900681832 421239.026400591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 34.0905771031707 32.8479884692905 384966.190675923 394385.280246076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 829.929271277783 470.633416408295 6818632594.98292 1521100598.71492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 225.457508096333 285.653825262932 169763208.936481 702828148.266417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 160.283184808035 92.2236005603192 98663954.9656046 17584065.3115494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 109.667315291191 74.3664259003845 17553790.5895004 17621319.7133113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.140023296052043 0.122332742171968 0.0581043655245705 0.0506240956126251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0473661674234575 0.0431593817158677 0.00616873119916383 0.00654910916186814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0240510664445015 0.0223231332113501 0.0015658688345325 0.00173226748564147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0150323231226237 0.0140569756689465 0.000611022387327863 0.000683162955130403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0917554081602253 0.0941778371550797 0.0302157299691562 0.0309158049819201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0364887409789269 0.0354020914730354 0.00477996804111593 0.00501039806255993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0187472186178037 0.0180580006826761 0.00126233753600754 0.00126669310164105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0126680177203327 0.0121750736951368 0.000572633047333752 0.000554912798489259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0545329034102833 0.0556921036832748 0.0111212563520099 0.0109241150498105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0198856636406069 0.0194941020053413 0.00119614429265932 0.00159320507196607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0121845389721166 0.0115708050946234 0.000450292529293109 0.000543844567570219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00963299295606833 0.00862982229910036 0.000280583763823138 0.000320990263421236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.669284493340123 0.609166098856749 99.2966699682418 75.0331212693628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.279753634465743 0.236301877342759 66.4019101252282 33.5107501927885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.177748064837373 0.143487964621789 50.885264740543 20.8098491607988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.130551486643361 0.104543343795556 36.9379565684374 16.1583625190145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.34835170708389 10.4909926608686 1695102.24287011 1397535.0677479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.739523295781305 7.54944000048634 1569.94634902302 551699.843738917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.382794932967652 4.78713937880802 486.64543813156 196732.79000489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.230904229593742 2.77968417602263 201.607481854397 65609.2004873354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.77593170481846 1.0714191967063 616532.877245018 3103.45285852806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.96164450255871 0.734006057398174 647941.837582032 2380.47132899369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.529631576342 0.734503688358835 157630.19948517 7828.40688818313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.10427549055112 0.929414780288533 618191.910899425 16483.8221917178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.20106153096751 1.21228412557398 202.571924275462 454.008100780005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.501090594145233 0.461182083057575 82.0959572833194 161.739039357856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.31005392007786 0.285395037523447 52.3569456315191 107.787579276709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.229930627178559 0.215828406704804 39.9197410043857 93.5327975952089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 9.57248900767891 9.49016886243015 589756.814137387 480619.272235299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.49087806337002 3.1529670032523 153510.1523226 69282.0899118271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.66111818448869 1.30204908535525 53943.5945425576 16295.3872185955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.20421253758345 0.740645660775421 32942.2455502562 5228.29462981969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.39568576618731 5.10112861752821 105099.252548216 141638.050055511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.454540959294152 4.12895848939447 77.3830557431848 103407.148200218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.411935187256176 2.66646335910052 225.76388407655 28860.4281102274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.228940695834168 1.41892738414293 33.4325017321363 6128.2038470446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.21122681329694 2.00759234794493 1219.22805489782 512.335947005574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.8064644200891 0.75988924269404 206.419689279869 252.447421820769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.466166253797588 0.455372775050192 75.9096856078466 169.925974654749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.327349618357478 0.324242389106585 45.3298957207374 125.044475774238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 15.2691001740259 15.3729931614576 1100721.16604452 1378555.64631294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.69174881694986 7.9069615631772 28737.1798580007 445884.960534275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.7138537542605 5.50441781797979 7523.78523926411 193731.380980186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.01147491299535 3.76707284915726 2768.23095349232 77760.0936289384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 10.3406638689717 3.63302603471408 1032619.79550743 21263.5223697033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.79114889144926 2.79156549242195 31848.0129857993 44315.1514225276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.59440110717285 24.6510761811601 1511356.93481459 11450341.1840905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.72560862078899 2.96053108718987 13464.9152707262 38489.7590408623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.51745568190639 4.89686576063558 2219.20513351141 684.61069334115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.25864970558705 1.96435882239788 648.397412441674 297.330633460574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.36801664288461 1.2318172771115 336.163815869985 202.177089430432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.0008558881177 0.923328437171416 233.322049885676 164.783749861339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 43.0765046322528 35.2101739479018 4251476.88684878 1692129.38890445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 26.0852350965162 23.6397340730927 3503174.53032356 1515262.0635909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.0328004220563 11.0343715263995 273113.861590295 262891.939583597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 14.4057173673436 7.65573039715345 1341214.70076646 129769.508754891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 134.079788853437 103.470028775857 169819815.518454 101625481.092649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 24.8084370381419 196.665668275735 3942919.75171002 491803524.73512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 31.1591679391126 100.65164670094 9903356.34393706 99206882.9102746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 11.5957211546602 29.1584264475687 1071188.19345547 8724190.74142856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.70203607245201 10.3548167092231 3519.27148865751 123315.420785824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.80357377490235 4.50737060090261 1330.17105865387 22905.2307056446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.42255060629839 2.75662116903278 794.78949521202 4978.26750370431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.7718905370046 2.09431552016933 548.664830330739 2815.91451437945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 100.008792086705 76.4861889318368 7724820.24814066 5779284.99749981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 72.2717534763569 60.3254496291569 6535384.64894834 7016557.24469223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 42.4262744306019 39.7361512817615 3085721.74963294 3756777.55141825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 29.107619184618 32.4948756119791 1492291.56975893 3299290.11199445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 207.56445304784 181.824208338838 65786731.7935421 67177651.4881935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 75.6860348444548 113.345309423195 14103492.6077396 42404540.3845717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 100.882033907644 76.8602218401427 35285076.5819532 18063345.9524118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 62.5572368046568 38.7705644178829 20512712.8557212 5839698.85137552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.06903623527733 1.83416788190059 1727.53443198751 638.680817995567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.680824362902043 0.738963315890466 75.1631459482303 521.0722773552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.399193173009943 0.499910913976312 43.6005640436257 580.274316620748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.28823364281377 0.37929834996909 33.4830624313347 499.927065153853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 92.4396265662255 110.134631544988 145098168.353539 262542879.174027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 32.2416473222804 33.0970600466289 16649495.057369 24775048.9984195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 11.1116769773342 9.41011886185988 1161818.15601091 1350532.83675352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.48092540841185 4.2968069461886 222828.237551281 221254.159964158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.58695849635608 4488.73760017201 13815.2469955282 554015429113.971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 158.060044300701 65.9249307079331 700822672.921373 99428351.6370987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.78068631456424 20829.3838334618 48123.7124225159 12398655493622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.9958863595384 572.214237746271 30579.5045364896 9201206875.57764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.57282064720104 3.46257857133293 2460.67298597189 1836.55885242063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.41665619748643 1.41989951718007 767.04580091458 864.671349586884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.87062145038331 0.87708510262264 462.181044446034 483.939294986194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.642131828874368 0.632528111580975 377.491153870934 265.882667784437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 111.927561708631 31.3526325324505 87560114.6855544 4077085.56276966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 25.8900154198122 15.8475977082635 3919814.40206463 1317375.84708333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 11.9270347869519 8.78021462837702 664816.2398346 346123.138831072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.29122465447936 4.48922569175923 148823.986940403 72441.2272008006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 72.6237137454144 33.1586663280732 45108347.9999743 6821384.72153857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 36.0023769828435 18.5483229412059 20893208.922275 3635709.64090085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 55.0319448306339 9.12247209825027 44965770.6737115 1076514.51546122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 13.4407922106795 12.2949972802634 1783002.14541895 1187021.58834452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.94754387672181 6.3225158571762 14543.1247298207 3959.06636351434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.95397525517107 2.56552441898419 4163.8873395016 1043.12887772612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.97426495860492 1.69915461208024 2296.4336393211 865.067177040274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.62527469232948 1.30229305924008 2143.37773930065 804.107773357084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 122.423208245083 127.542874928365 25817206.9367559 31047684.193385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 54.584031195779 63.146415660116 3712083.70330601 7446646.93945825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 31.4032784363626 28.9524118678479 1392864.16732479 1881723.48204839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 20.0458044127258 14.1215022993278 545822.529902219 382666.963537643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 361.321532369061 1225.55190514374 888452523.659714 17451558958.2008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 55.103327570797 144.178466650002 9851806.27863937 65332480.1590631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 66.3138595253167 175.339877942807 21832124.4240254 265518371.318621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 37.9746099797337 99.3947245298244 2758162.26924907 81131623.9843698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.9162762162857 16.2133836117244 11626.4233980149 103968.124881916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.6177895766197 6.4706437807489 5113.67639589045 3727.79207774989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.40619851579023 4.34141837761617 4168.47739084743 3488.54517065626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.42647874162417 3.36897303718338 3779.73303727508 3376.79765744125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 67.6055493392412 79.9624267684026 1198178.32009796 1864233.36343641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 46.4613883694616 45.841528271577 863469.986401517 1057808.33283813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 36.1113289432772 30.141861703333 861013.388394402 552526.930728703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 25.7819451051894 21.0543223450278 601232.824624787 309550.516390835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 154.56716192257 248.242674331727 31700917.8127144 179420114.847595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 426.851036174331 83.500264742185 2459897638.74633 22319260.5301546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 64.8610386489834 49.8112334068288 18010560.3113418 3309099.08088822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 51.0416886148105 82.1334314709908 11097572.892318 31225905.4410119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.5642417799459 21.1643598757892 8567.28593737915 8357.89989502232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.1498523363387 9.4461322759555 2968.31065118826 3339.56819436579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.99770602459533 6.29207240658844 1900.12377108303 2505.99495496005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.61999947401518 4.83993757128841 1477.92107512803 2011.41242273611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 72.1876628483929 81.0073345527286 520166.1149529 739969.066333035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 53.5123961491693 56.123147070502 490719.174028508 545642.162872579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 40.7435763875513 46.5943577840669 440557.99093726 507826.2726599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 32.0376849233716 37.6693338883239 332750.873549428 430814.993146794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2214.30642657274 409.590581222117 85901019458.5687 900860269.540421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 397.931180009594 108.194623522451 830083516.636654 21835200.4701396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 79.6237325643314 97.3024883745471 8388160.48963011 14314166.4261225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 138.881167676612 101.073804660674 78526970.0922236 66325457.2308866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.237724618499667 0.225081928048748 0.571513040710328 0.855502755623031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.078681514233366 0.0762411048426954 0.0678513325919445 0.106100735141003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0413583580005733 0.0399499183813416 0.0180785158183829 0.0246108661165443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0275224789513298 0.0263517643653489 0.00650271521889196 0.00833682549737988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.208853917350307 0.203568645580533 0.156953033608345 0.124993483446233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0714860019915687 0.0690967837927272 0.0189371683913024 0.0160094816876084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0425391752403533 0.0415881025737349 0.00658126653080662 0.00587654150974475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0375449502918773 0.0365288342306796 0.004981182965852 0.00426959536217429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.143095885485446 0.137160446908173 0.205455649312203 0.581037570988062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0394202765293479 0.0372504441799693 0.00529186343291005 0.00438716460847742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0243233708945047 0.0225498693833815 0.00193820606012242 0.00160074779179518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0203238327844864 0.0183225016289173 0.00122300431592139 0.00103382446479046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.917332510880578 1.11676338557455 991.997633229458 1981.26135756197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.318525528294081 0.464062148978889 80.0923880717295 675.006204119843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.185148882611813 0.255603874788407 27.2501498935363 212.75827310539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.135363189668312 0.163894102215158 17.099760715826 67.2346595751014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.77591085931859 1.86910434117299 4279.58496264767 4025.47011180588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.536213314982573 0.728562801337591 373.9719229954 760.349509539301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.309808158202444 0.42973736628165 119.760230737537 274.671408251189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.236862052012653 0.336714170506794 72.7888641759668 200.011770403194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.4471602857512 1.14464671830175 5023.86176154863 1496.73563924113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.397941508192027 0.313944532781838 132.861123459113 49.0540215139402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.35199911037857 0.249759245592779 155.486370354265 46.3907680995111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.222476745004886 0.222204962773947 63.9223728672547 59.7577022283197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.67855092551466 1.74958849973811 3333.57511489507 3045.5687738755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.590686772244907 0.854803175810905 294.934917453827 1419.04179789589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.335801982367328 0.572459224464682 84.2715158433473 621.260626385052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.230242748404921 0.4422979230287 44.0641103779574 306.559521244804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 79.0002817722739 14.3926867534468 98594025.7321966 832994.339339972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 16.5182715391751 5.92796219698749 3181598.3702092 130803.913951012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.97014336383266 3.55392149021762 363511.872238232 40103.3351752972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.82821613890641 2.27404616072656 68457.2661876543 15838.8034303159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 12.3595342401564 3688.59630713776 528355.814936722 416452512204.741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 56.3546731390025 98.5251719925268 100644656.29215 275299439.651736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.8024501837973 71.7898967685353 1489517.97081497 93129782.3140876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.70074768014405 7.62086559652482 346588.532707395 1360489.8124945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.17588865804309 2.75715082861154 9523.43100712184 3549.1784997001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.33268949808438 1.11646512590101 1909.34360267114 943.235593592988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.825363828776261 0.671549855707833 857.187616261845 330.018550620491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.613049548313238 0.48731290514353 486.241757683283 160.084628500599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 47.1949592501952 32.5874491274449 9270292.41947464 6407876.84010061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 10.1924527877096 7.68066238210676 286262.137248365 162306.387235768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.78879699144013 3.49634491137409 38971.7234120697 24256.846493001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.4159465219344 2.05122486455894 7513.44949019286 7792.1394802187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 204.029073693355 140.126419020561 413740845.191673 367757698.819739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.6868174661536 140.10009366651 352224.130092959 557344933.50175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.22092318655273 8.4632919808063 159950.610215452 229264.408328966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.1466482299122 11.3684390534578 40111.1927054694 715682.036017779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.720638691856 5.62763726590838 4491.14578353641 2033.83033888911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.32977836872425 2.33100974364601 1219.97946238477 850.767035913541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.48739115989329 1.50233882282248 761.757296905807 703.89403121364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.11934293553567 1.10886546079777 499.563705922959 522.649157622702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 36.1549757625428 42.8359414115612 1557209.28943729 3384302.77658463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 10.2278366028176 14.6787328326208 90866.4185604616 311324.122402956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.39247180578501 7.26129742008723 27023.9885590751 58568.6646972883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.34473412886899 4.00887638366006 8613.17166705652 17166.3473399723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 102.672938289608 202.611114863824 116874502.838688 698684703.750947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 17.2043608493679 122.694411711814 2033779.48505235 271228618.168604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 9.06472076548061 12.0141343210832 168827.718183464 353125.757107225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.07952728686685 11.9464757535526 54706.1975771682 689448.795077159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.45597671367752 8.62511785895115 4542.94200445509 4336.04780815203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.64561794257602 3.94676603385567 1581.66080936245 2517.79573251159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.38916517467829 2.66041529159189 1119.64711921704 1904.98409753308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.85434494872061 2.04598701307608 905.554506746337 1297.67983877842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 80.37578781575 65.5282514854367 4240074.36944696 3318467.74323271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 34.2253469228424 31.1783580160583 996364.502072196 1039101.13933711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 17.612726983905 17.8579832403168 355391.432436736 443416.839375643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 10.3728914965761 9.33497914125131 101130.722982625 89236.3345304749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 575.372952217081 167.77457864892 6764226007.01202 91006964.947061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 116.974747927066 43.2422828919259 77541953.9991794 3150277.90825761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 151.929274061712 48.831387289629 535699029.387224 12972618.5851856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 30.9271976003503 29.9928771006599 2472626.61882511 2051071.17882224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.27681786767468 2.20635104107921 5019.26693721394 2657.88770223661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.921386259794671 1.01872766167507 1058.26411684733 1554.18549020638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.591928476473491 0.68904647572259 516.762167333394 1044.59647854849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.427038904936105 0.519443511562668 258.459195873611 705.444203753353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 13.3222208074504 7.17972447702843 448781.297232005 125361.661697876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 5.26425343621118 1.84809119283518 44409.511828012 3692.14697101724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.88334360630762 0.822351614660306 13010.2372512059 525.197095683287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.66781587168002 0.534698582372594 4178.58762624986 204.049634418649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 32.6491952117748 28.5132696465717 15571532.073974 17799702.3036851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 9.16510177245629 13.4015835512692 1196197.091251 1390931.17454373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.53437251604179 7.43303526330844 178165.626372235 486296.35158812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.82442445108358 2.24825087186019 9108.17005655965 20627.0938773437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.35136255733615 4.26694831563509 2265.33261202083 11925.2668451411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.42170491036334 2.09436639776051 878.280919332021 6046.88083827307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.913241310485445 1.37584347480851 434.500588176145 3525.85305977479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.685112316752927 1.0151815429382 238.258205827457 2219.94719634728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 23.8403059027042 16.4186890720234 2887034.82121622 894065.011085029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 14.29758872882 4.90258501020933 3078822.90877855 42266.6401859378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.61168451702636 1.80970523104717 582896.752009496 3312.72154573951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.56687732651614 1.10568120506275 139220.69921937 1226.25906313782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 25.9859934504927 32.1174617476971 9692339.86971358 12197652.7834909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.1416272074076 628.33669286957 2237308.3904508 13940478775.6328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.64158100160669 163.394474633165 24984.5119407613 741023541.965459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.67997648184414 8.55921967944576 18912.4539397587 1003946.62343586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.49382374943 6.31256317271491 11425.2860229007 6074.45427004704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.90579901603805 2.9306638458154 5627.71350789366 3595.38903572497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.90094302793278 2.06577129739707 2758.53884520515 3145.55347343117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.43410330800747 1.6071234506449 1622.12711315061 2383.98114595219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 63.1877362435687 55.0371316638202 4827474.11637621 3589126.85236039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 29.1936296775237 18.6653136840861 3115686.08369349 458027.453734851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 12.9332541803289 7.75476392441893 289013.127884001 85325.9795027604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.21238238478731 5.26518044433329 61465.3843593874 43724.3556000121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 156.564086676582 562.609081990693 132635301.151421 5734878947.69091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 85.3332517772561 27.8222511647019 38289071.8850538 945250.587788365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 52.2945943455095 13.4599466482354 35617815.73485 331353.089238256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 72.3522432722446 16.982985250423 95240660.4739483 2261110.8023913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.3835526245876 14.3304299744881 6451.99258984573 6415.86681232991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.53625295972546 6.37740551250555 2746.33903829264 3625.49291607792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.34272667576176 4.24972414136622 1753.49182022922 2310.75833393117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.37390976296781 3.32273925341953 1327.48283785576 1701.65725500122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 81.1796142050902 88.3571739317933 1719160.36103693 2275160.53114248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 40.6614011574346 42.3687319129934 815390.323945235 647682.462244983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.9016163063288 24.4516228426173 306590.998630516 281707.979453572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 14.1668720924447 15.8180870029358 127694.232084089 126528.972849425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 320.741666807586 301.018219007034 274750811.366509 203730597.189251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 189.373695222595 113.963164184813 445889685.038625 16505251.4401492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 90.4484239262461 58.9494123475392 22229151.4407195 4873824.07901134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 169.104503068497 74.7632800739056 504217472.57534 41660115.665405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 20.1169561805864 20.0621126055866 7799.30156279688 7043.96538891685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.20810733651999 9.14999290910438 3247.61093254896 3271.78128291869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.25477862434396 6.19689353698396 2066.87137394376 2231.90233674775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.96354451541055 4.85798425996469 1530.73887080767 1578.90766884703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 76.986323401315 80.0387908749466 686761.43152551 609396.928265641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 44.3444850902162 43.5520282641512 319455.494073525 284489.871361121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 28.1940939731615 27.3088297368136 172916.869057651 172845.103664576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.8937990102754 18.3650577743627 90669.8077821589 89175.272108061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 343.531643961128 1100.14458812411 413228810.216614 6349570659.76183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 122.962549642163 202.651650646856 62296513.3844941 152234567.984453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 123.764466756447 94.4022963750401 38021516.1472758 9164014.07231514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 124.781313990056 189.403214155545 202365955.737601 393331208.724006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.227739411107737 0.275947303852197 0.204061362224708 0.300049677844405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0834151397181577 0.100408145708814 0.0248881560811341 0.0374939827724436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0447079977149834 0.0536277999685622 0.0071237362452196 0.0097778772040606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0300114614133661 0.035453311031367 0.00365502667533704 0.00384535732099847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.182038026572803 0.216784520004251 0.173181424321451 0.201398678458207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0662858568345581 0.0817586418905501 0.0235455228692793 0.030532186422163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0387955586408245 0.0472762168485018 0.00949296898681726 0.0107090813403315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0363926141518027 0.0436528041212601 0.0101381381871498 0.00880094703168913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.125208180476147 0.128215694966585 0.0734687088790487 0.0702300513551971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0374658648654858 0.0411836448969138 0.00606398427763924 0.00657841653993661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0222459970704908 0.0239399172075296 0.00232187830104237 0.00215819391054236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0180831098787533 0.0204662168633441 0.00171771060008284 0.00141820232019121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.74991303969213 0.767973689977841 1061.1020748697 256.954770080744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.28772502775272 0.288803690646133 305.659711580953 67.0906961595243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.165259065389516 0.174114613568136 118.94476664927 39.8622246858105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.121516130706744 0.132683945439134 84.3076355420557 33.7953796057913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.2794694706827 1.09849093016332 140737.42815767 1965.02592939721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.69127437436256 0.407604208783433 32185.3752336843 285.296273161844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.02503384656782 0.257100469950784 10658.5957275259 130.964688585558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.695151522382199 0.195979877414045 4693.16058892186 87.5416803458111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 4.42425301514051 2.53855418153246 541085.956939819 74197.6878290041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.01172451021391 0.897300398049055 18101.8969828295 10272.8496582032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.617875822110389 0.690355277156887 5498.95967240998 11696.0447279342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.468543663978428 0.371589401571649 1832.7613887722 2783.96700603178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.11874518227466 1.07744615385974 597.101396580865 126.413149961336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.346918169541006 0.384135491712145 20.5020255760001 41.7195861775979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.192389392664572 0.231204671249389 11.21252728378 31.3535462784613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.134843759920498 0.173919175482067 9.05341804897151 28.4017720670011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 68.2620654206037 286.133380307556 171615765.086746 1497210182.87435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 33.9641301534835 63.9218667006074 24652124.6573538 149958874.47599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.2643628568939 23.113632622914 8558982.05794839 19404285.8282632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.7443391709937 8.54461577909308 2567927.77552159 2586773.40156166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.46148649901878 983727.270359954 708267.487979747 3.71442833600052E+16 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 508.50358639397 295.951155512387 8757892489.252 3326018593.78727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 32.3090312190559 40.0178979166297 38542658.3554376 47630733.4278161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 77.8123673976936 0.370007303786029 122864815.009559 580.490772039719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.03520726478946 2.23243233249704 548.972018149591 6751.42033911691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.739623943272484 0.819881536294892 122.378439978169 1032.21029080762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.4518639109324 0.504020100758982 91.940059150926 486.35653280413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.33754921536111 0.377823100799936 81.695267246443 318.005330258612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 149.762417699617 96.2114178271643 685221185.549156 189662926.632185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.94951857782097 183.472561714998 484277.535379819 562092620.737446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.24016727633326 158.698594861429 102706.497001662 456480228.375143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 50.8477261311346 90.0504314500455 89450004.8807639 220545890.443402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1717.1950381121 1936.56580438262 110693565558.095 129995206962.771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1449.55775224175 17.76338755628 62868887377.4541 7850844.87217874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 41.267628947822 276.074818184817 25444294.7180404 2738726266.76704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 23.5940805576641 126.283965239802 8419857.1635833 541833268.069193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.00552038548232 5.01115383166542 7996.97269440845 1401.16059900409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.47539657171933 2.33546746574985 2357.10241976375 4754.04214907647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.66633497042526 1.55648648390822 1821.31010684505 1705.87013500416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.34132753270188 1.22269927103329 1618.96397878897 896.202575942148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 43.2677460667041 40.9535192762136 5481380.30069052 3660320.31979867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 28.068993669908 24.57220463625 3823495.05248139 3108426.81751192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.6160182874495 14.7715544860228 3065918.01103015 1245489.70955005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 12.2244169425644 7.72677979282116 1106604.8401649 248773.169551952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 109.406118004664 85.2578541200445 86227950.7627474 50645386.5952191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 43.9981971427502 879.541949979598 17803411.6026723 26605987641.8726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 43.081462343544 16.6367095413356 31128818.2506798 1524281.17964135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 24.3781825411157 19.3763868861026 3204190.61023684 3381908.19526402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 9.89425792119233 8.76930465059838 31902.4044969527 35568.0174986215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.07479815156344 4.03998218269767 30306.8784100799 18119.8552207578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.75421655127869 2.77722726806587 28013.1386199461 14267.2840851183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.02384516483171 2.21067961572195 22903.8574826317 12103.9260573519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 49.2428514277849 59.1315808029715 2053360.7737864 2865284.1940096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 34.7525063215873 32.6053125991332 2703131.15807768 2515311.25735512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 24.5819779976035 20.0497559905445 2313857.46526434 1396585.30305601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 17.4562982252536 12.7479533686933 1304571.74957123 708769.350498108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 170.563456108087 540.226234749224 64466297.2923629 7760738169.25291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 57.6742081798924 61.9984005572785 8451796.49286233 25214569.3591176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 125.140701531916 37.1892458136821 302998739.417549 6910935.63517215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 26.2902676394992 15.1115755704333 2740925.76153274 483588.401032364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.75198256752531 3.37054465740059 1214.62504048674 40604.9504737611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.760193852263739 1.85013846566585 716.056598678296 14193.7894931474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.499567845615459 1.40831658017416 474.647672661628 10291.743864037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.380798118908543 1.09435322338581 348.957650251571 6375.20759936326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 6.29163628581358 39.5507326731334 112003.532719008 9670905.86065836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.94309682545509 11.3599279227669 6839.66125470005 678251.874377363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.84621794675193 4.99516601945472 797.14730959117 95775.4385052795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.472485386753655 2.79524426028161 155.79528399531 24267.0953856216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 7.79043515404228 106.083121287357 253051.748812683 71180831.7448513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.58535405302484 27.0114603516688 671074.165334747 6506427.66037687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.22172301043283 6.65697141504096 438950.700249987 357999.724069258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.33501224032122 2.77383970586325 612743.768218039 36757.8522775817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.1932694284528 3.2259176529452 1622.61790053307 1429.2701012621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.33109411136693 1.42996763407272 669.438317646225 1022.35585299903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.892288752094023 1.0356127403209 490.343184590583 982.988198589665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.68410287983817 0.860918729168418 376.522347078879 925.574167457897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 24.2778451761025 37.7331180309343 1922551.27351158 17738600.788162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 37.3450644033027 9.42628409341307 30476549.1079702 493675.874293463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 28.5760425220858 3.64225882607263 18443630.2830992 19429.7935124057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 22.1181790217103 2.64877858035493 10035360.2869603 9528.45742456358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 69.7932546528693 52.8122083156582 100939081.099401 21195568.6127305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 39.9326427132916 11.7298595004081 29462266.780355 1331040.75641778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 34.5223411293358 10.9653139859145 31596448.2336976 1343395.75219913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 34.3973812596971 9.1800197154298 36469298.4940408 1432346.67368421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.1132464288625 6.09439937819159 8229.31507177034 7084.89420016882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.66564714509828 2.77480653541928 3386.44490638477 2810.35309251184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.79831739342007 2.00531191921798 2624.62843415292 2317.67737771974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.41354670731958 1.68227465023458 1755.56038790808 2081.67268599324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 58.1108094292869 86.3843048194218 11406837.4981903 17372597.9812348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 59.3841424034375 42.2356816324783 17090607.8093878 3896062.22094727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 44.0556914846423 29.5361182440179 13627710.540888 2468630.08938984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 38.4680964460009 29.4251211736344 12437000.104111 7734099.83820975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 180.728847009415 172.13867304381 171314651.729049 88670744.509041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 56.0300641369353 183.25032514424 19352335.0869361 410966040.534014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 31.9101082525033 63.8833144476374 4109039.20205061 39206155.5345109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 24.2978657883285 25.1257451193189 2109345.57995471 2489787.10569085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.8104577728011 13.8228896405459 54842.3574738243 6741.70404998054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.30054080041071 5.96260528639916 28851.5703381558 1824.23241214807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 5.14099049443546 4.04304094124852 18394.4148782261 1448.15449167023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.0710123248269 3.26548940543156 10895.9340681726 1473.11155297273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 69.8537755794755 73.7545397224196 1694109.17934247 1497043.78649533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 48.1570978184226 43.9847917024126 1276330.65976067 982664.281223145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 35.402551719949 34.9881867757615 987391.587561077 756084.27146689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 24.8643340571509 27.982571399271 570099.796865982 650486.011755063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 162.228814254895 260.301095828589 28250603.3398743 129828266.431357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 153.104374787745 123.938249853057 195163990.49541 95285917.3874719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 59.3422876349273 52.0365770600389 5609725.21464696 3042254.2927274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 45.8508841266344 33.865528908239 5162818.25965816 874352.918537352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 19.6796839992967 18.9927629315695 11879.6020455775 6279.40222456111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.10878298827933 8.84562873623027 4109.70368323773 3513.0776485402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.21432979604111 6.15404993642805 2968.05406799038 2931.89257316297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.85862186705611 4.92997504193506 2446.42263789909 2492.82690269561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 67.41868713852 67.4755011615248 543474.556007003 523681.392782252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 43.5186677657981 44.5480986222754 345721.31392496 342319.934154136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 34.2924515578292 36.3569592128042 335191.239970799 347859.916068269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 27.7690164723029 28.7032841730893 302085.156736213 272397.043708372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 185.736761604159 410.357385249439 16976562.1046563 606474185.744931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 85.0417725838697 123.444924279067 6257015.73126539 20532622.2132527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 186.590123648074 126.463935065277 308460507.145493 81893562.6512267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 51.3516281660168 85.6368916823497 3608432.23389392 77582469.5980044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.187090201229409 0.157913002847657 0.12499711762747 0.0960763742388738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0623781692180365 0.0550032308533533 0.0125082066979686 0.0124108608088611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.03283854340882 0.0294010774384701 0.00322421400124212 0.00332602236436455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.022145567849345 0.0196703519884788 0.00140488099091365 0.00136778010210529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.176833240903907 0.159690983754886 0.112871989566989 0.0786995526055056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0577892042183181 0.04941880977593 0.0128103941858177 0.00860794845629795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0351225588236513 0.031197920181196 0.00479325638188713 0.00337074038098542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0307085840623634 0.0271033873809172 0.00365456019050873 0.00231098456291006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.126176954051151 0.117862960994426 0.0680308416213961 0.0514538609440422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0292101075680113 0.0267197995399303 0.00280667007108558 0.00254068959632723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.018288168408519 0.0166974918552202 0.000994893339421358 0.000978231888379243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0151276553587914 0.0132339671195302 0.000629219922756034 0.000640837142912914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.661489949929768 0.679453179967448 94.305855953389 410.890551357434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.288719479131005 0.213505438990545 47.1227140289232 28.9865243181092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233049119893656 0.123270728681631 84.0559345381866 15.5550323525835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.223629690087834 0.0870917349732733 145.789445466316 10.1242683237959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.14670470050352 1.94726024064204 146256.537575437 11496.1400161611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.93037468446097 0.47840271328111 27347.2124271653 520.079444247803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.07842576913975 0.178466549190942 6919.93771155774 26.6955655945412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.697425573733681 0.122388488887046 2180.41784166058 16.5206723888341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.97163687596353 0.87428931869467 123495.59901379 646.06057980075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.62805920340369 0.63912749770018 53529.1448130798 2020.93817263958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.38603674926019 0.43560955067302 30297.6227907613 481.623814838459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.09461569070038 0.468190213333442 13511.2557310639 728.022905658262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.0491558340814 1.15344247706312 147.083061668499 757.196813461903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.45745108374959 0.463458492973377 69.1965122493387 247.002164832203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.322147767109419 0.289730467293259 56.9568978852174 112.524605006519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.264961837227555 0.218311770247458 59.0626071862744 67.7930445068383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 125.683403893776 26.3708880293532 220629825.918415 5578610.761538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 42.9435718133434 4.48328437480742 18999089.2258148 181820.760625532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.019171239558 2.67157302717926 2171033.63593008 36674.532923809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.7512340361367 1.60593464273067 537729.213542949 9203.67505783413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 148.735557098248 35.5557508448539 542419053.325664 23200998.3588839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 151.712609345788 4.3497368011598 480390619.950023 171238.594415883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 23.9538423889416 3.96837626977074 8807772.98912978 102003.526060622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.56485620904967 10.5454867766575 314018.203450214 1880488.32217141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.93434078480968 1.847578164079 706.859419568708 865.246187146932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.768181525686871 0.706058509879819 168.811589990637 193.737232737031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.442234011161671 0.42447256550834 49.3343335483257 112.335572402314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.323115937131301 0.328433953719477 34.4307727936891 105.061118669913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 11.0649783334718 48.7706740624021 297959.989699604 24620567.4556454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.20620953954679 18.3324346812161 12228.0953166234 1628959.75718602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.15016889879815 8.29771299168618 3584.086272311 291028.715458736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.919919863540227 4.28153661454537 2190.60188506307 64304.3780889496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 18.5712319239187 61.4904275721732 1473288.40023595 78160808.5146211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.84249719208056 28.0233631871736 16411.5762744751 6572637.12253364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.12625755291195 17.5607274568118 6131.79210014123 1772585.37340428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.27936984779886 15.3473415830416 10240.8183089725 1416492.45656126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.45536885049366 5.67904318869599 3092.01196960816 7602.32703170646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.14380515169531 2.76998970856004 467.51748394029 5311.28712190432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.31731668666359 1.95016619662569 226.06925885174 3856.98783607296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.978999408614552 1.45650801197918 166.336986734223 1635.78692417678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 79.4321539077422 64.9796407311963 38535683.840615 8392128.9838392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 21.9988158741487 15.2414935616127 1346119.04942662 284064.214440667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 12.2457027682562 8.08742925429466 450839.309727133 124669.265032372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.93727883528839 4.78559478514769 130251.455565508 42659.7976818912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 137.378659170844 339.536197970231 116107477.500899 934833938.47425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 44.3029973457734 22.492144239237 4840565.38866654 1142720.87583871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 80.705708355932 19.0938167429233 92317215.6987141 1256706.90766979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 75.5748962730027 42.6036515514174 114793403.190149 15650387.6317516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.65845664107109 7.99702340405149 19880.4097144315 7060.45853849987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.95201667471456 3.32147675709134 9319.60915486078 1031.8955431203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.70866820316826 2.16321447484813 6218.40426985187 654.829465955807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.18465278281931 1.58862865552487 5104.44679266019 416.25044387722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 58.5863444846817 70.7535166031084 2174527.96756079 4404107.24422944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.4032917645074 33.0482840468039 300415.859119306 1473731.95240819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 13.443253294275 21.4726801409453 175430.003401197 1157024.11743961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 8.69640331107635 15.6710505923868 76143.3688410148 613418.828003033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 362.74992785101 138.158416165922 1192368970.61489 64860880.1941397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 43.112156746522 59.5628689551272 4105707.92004681 6580320.73316432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 32.6906852831691 50.4532657276885 2180760.02836249 10655481.749851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 26.8513198848722 55.3585382023736 3461610.35595806 37680023.0908071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.47820819556709 1.57186106918326 138.158653554774 284.342955759184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.718071734092274 0.681140928355191 772.023482986655 146.253340493651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.526362604548694 0.454746995048382 1073.6408755676 89.3409103338804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.479347218742985 0.349910547691729 1798.39992634034 63.9287775818953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 87.3301583594317 61.8957533397926 117950055.218645 53845563.5082808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.0106620567817 4.53971093273451 3626555.93680983 39307.8690470188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.7313598343014 1.79247906907669 2001348.34019974 4523.01357282044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.01560951404525 0.93744402426054 668061.698191772 1133.35519595012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 976.040716520332 67.2878781691434 27793443195.2056 31745380.8226607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 322.714591164492 12.6764073224708 3089053612.71791 1579392.34841269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 355.389838067503 6.4150449237397 3836260818.7574 358590.471593925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 19.9237891432092 3.472042283814 6449237.4731125 72751.2382957968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.6049786163948 3.23721286318757 56122.6905440842 5152.1652761474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.34059588248705 1.8678031203049 588.355424608548 6260.56965067791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.880069116939101 1.32708551460676 280.841935655082 5006.61511107585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.709355565030933 0.863278075604187 236.394863391218 1687.43521279247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 38.3679650740346 31.008940796967 4057000.64897127 2784824.81123096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.4828527507998 12.0480518368772 364222.076403987 338345.011067056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.5997241529627 5.2941631261168 32023.1085616233 49078.6388596655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.42299893210229 2.61465875085251 9165.91690526791 13033.5216750836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 63.7219433759104 183.664662143781 22206139.7106369 483698364.730078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 72.834289861666 21.9388369940023 69087793.6561191 3802080.65919492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 33781.5368349277 40.4492392886843 35804257004413.1 11273837.1009929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 24.2433508162722 8.504270823523 9087815.33983774 452902.845473556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.27918278120166 5.1275831410441 1746.39152860816 2493.09925206985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.28137593420586 2.06130523532048 1464.66252384571 832.364633050053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.52718375558853 1.30554369918585 1183.53852459021 626.845058224356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.24365168739701 1.00091510061826 1164.45973749739 548.272434342088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 21.858670573637 40.3865222719698 594842.605354785 4375661.20812641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 9.21944501749334 28.3431131732998 242359.247218289 5073496.20607728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.3925908902954 14.2092424115507 83574.1654478932 1187643.62176389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.7205688497692 6.87086165071681 34654.64516099 251077.859129807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 45.4811506305068 160.737224867206 7612265.33554406 287929671.514193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 20.0293818461184 51.8976317627564 4898937.19762762 30999003.0045951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.80069516767194 28.2800311029815 25709.2833097801 6632305.54306297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.10335925848994 44.9930055206918 58333.3706300495 14117029.1715469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 12.6160119175393 12.8408528845207 6852.19460496148 5974.48038582381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 5.64354650016132 5.71288525969168 2937.88386220206 2406.06706631489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.79325959364486 3.78184883921117 1895.15295862788 1448.25173190606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.95244497778337 2.88440499624405 1491.7333646244 1046.16072397609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 65.6382635265019 57.2210915892018 1419826.87506124 980294.309259107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 29.5732937843035 24.5657893422664 442969.173375891 231379.033882278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 17.831805350053 13.924177379745 218325.2325307 95254.5706402642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 11.9351005941809 9.19534135903628 142331.419665762 44127.2790453015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 173.185174162159 192.245330919487 66189767.6397422 65692935.5572711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 48.3347532222134 60.953285587235 2330968.2067254 10744912.1766519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 30.7286994019167 53.194108786579 941887.396947616 17569676.1682567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 22.1786411895451 19.9198203151661 466620.526924425 756633.626523704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 19.2053124970344 19.8514707575095 10434.1483890022 14501.8047656327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 8.93178414244699 9.28744865011515 4629.68531979825 6712.25558605321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.0459996949059 6.30134578150761 3098.17126239335 4450.35731481313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.76616704188852 4.96846774090425 2342.9989692439 3263.02916116977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 64.9630156115651 74.152925412966 453335.018337515 587760.830594643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 35.137162921467 38.0500344548301 236760.20835371 240990.415620423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 25.091119973178 26.2876544896908 156693.520582498 162015.719297834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 18.0264251035054 17.5395098463248 96017.3712338346 71852.1055715977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 451.449693884359 530.239917282301 2117426892.19655 2443213211.63817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 79.3037262145244 199.158663531226 4681695.0163055 331913968.579188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 82.2077605333832 129.485483469563 20646976.6433918 218617571.370071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 50.1809951931239 67.7773005400296 3128996.3915517 23495655.5526164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.61628595123559 0.628545551931447 30691.9538053755 1673.63910742347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.552612307048632 0.241128688444775 3543.88170454231 322.455291599655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.274159236457528 0.135529992392498 838.009517109872 111.939326492027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.172856472608075 0.0894957341806516 300.283555616229 43.482398519327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.35521026398285 0.293043615830144 0.525808812558413 0.341882039608608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.126584419785014 0.10149116588762 0.0732976418515348 0.0486342964631748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.077762037330666 0.0635898984412249 0.0349354091569731 0.022632061110799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0753313059564981 0.0617995957996656 0.0414412943364166 0.0240796856621565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.240667992986359 0.220552122875658 1.30027997456411 0.380802010671732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.067076501376737 0.0605015719771837 0.0180591312038245 0.0149847507948296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0464067874608693 0.040659297959383 0.0112281096159332 0.00794043045281282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0468355821727579 0.0410562913199186 0.016172197479776 0.0119820506665232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.8104153478875 4.83275509007778 294960.604531674 264561.229753614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.79990345395422 2.90718311751222 77380.3418092399 107887.928117849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.718774440088078 1.9671237585468 7858.15594505274 54270.8279078574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.306875197072295 1.56067591375681 621.372463901527 40866.7619756265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 7.89459501426736 3.88301978333987 582285.192747535 211301.650631848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.31821620815229 0.629288642698969 111792.654555377 2605.6358912381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.30657715323548 0.201801671584005 46040.9002376434 27.6223517619698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.63788866875053 0.174620914335774 24490.4321646098 35.0698482520625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 16.8596377190461 7.89655022587482 4292304.18762386 483564.510266741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.38607447168706 10.6581571414345 20863.3455121797 2002249.57406569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.0581674284295 3.45807540569867 5149081.12483251 140360.880299951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.927529513368759 2.51045960657635 11427.8838079153 87012.1857675432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.84582712050345 4.18597445834111 73917.0419090302 139384.851081584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.272529731762 2.20061161623281 21498.0750377303 37905.9531049314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.580897687420021 1.53569496789097 2408.2070444318 20999.1786692473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.312771092587096 1.23952453867422 198.632226762617 16420.5590706822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 5.88705047649206 4.68724923909472 112014.617834634 72831.1826789934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.89965734665535 1.90081431088586 9548.38579624121 20488.8616200109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.99760712236799 0.943717115512954 3064.1601383109 4831.06892305268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.659318649390142 0.558327966203612 1593.03813646707 1444.37505419609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 17.8796042979578 29.6338327597988 5290763.52521808 23206046.6959861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 14.1303318796424 4.62359322493461 5832500.3514142 94186.0728920966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.813768573178425 3.59491347365038 6854.32730010324 114569.392168417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.715825499837902 3.35826801278585 1764.19504949093 104969.772189742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.07391420127742 3.6625004956311 19073.4609751862 49786.9822861052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.37152614873983 1.88451226067764 5878.06083063066 28624.2296618469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.798370235191324 1.20759923071769 993.496024563802 12890.2729340997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.556328599758039 0.861932177534448 383.235521897688 6034.98866798525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 8.98076108077267 43.7090401059545 234091.786544159 74563467.6347104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.83124267194783 4.90193029901167 22265.6139720887 279491.484389094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.39232834756024 2.27315844022697 4832.10915225024 66224.0133308432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.852621431956556 1.32496520081345 1309.21647464369 26563.0784528822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 990.555267704023 25.5423506539378 61317578397.5596 10456836.6696994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 5.58697768294095 5.55144610019507 332165.636916468 172405.756828715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 29.4151201896758 24.2796571983518 35286639.6204189 23939805.2068971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 16.8835265958658 1.67173166854932 13400638.364962 15863.832200185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.4790265059924 5.4522427209527 3615.13002451298 6729.64537151325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.43702650926669 2.24869578055075 1503.28005226199 1339.72866401523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.57227481019519 1.46549676793304 867.54225452823 654.113225135955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.1817045948039 1.1322889380794 545.742070297648 488.057613063496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 44.3330005402023 59.6123594198825 4098557.44628484 7489251.45958587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 17.0118896765258 21.7833070055382 993527.62338287 1135951.29018716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.27544041946474 7.95046463595247 141281.838652737 110822.328200694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.58433515143117 4.51044867658979 43313.8685344554 29368.6826480883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 414.151034042448 105.736434159583 4347494171.9274 49803765.4827615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 59.8752534747313 78.1713101109048 31342406.0486818 51457291.1956284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 18.8928966966282 24.0205680344036 1131188.60195412 3373346.18097029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 22.559182755026 11.6831261844191 3712007.68885251 799366.701914216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 8.13472744747008 8.22540312652779 3980.89996720898 4212.09980347035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 3.65662039128863 3.52492256082309 1995.54502191553 1684.13522606734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 2.41045567736857 2.32093759886381 1334.45947358132 1186.58559393831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.82859737695107 1.83184943462639 967.223633238682 1040.99804554912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 63.3359203910016 80.6715243805047 3232596.41564668 6221455.03025506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 29.2455971283399 40.2060176285049 1174006.4844233 2044270.29371626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 15.5934735252454 29.3797256853678 415532.690682905 4192822.20339626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 9.85610064001506 20.7761360399371 170906.233490711 4105113.57016117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 432.943932352453 353.599653512904 4941085894.02832 659724488.298762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 103.793075616842 63.3544093755426 60118254.4549694 8745082.87366657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 50.5747635271442 50.7375742198466 16159112.062856 17225322.2403179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 31.0429483019609 56.4049217654939 12693132.64484 27648652.2533351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.66081253528266 1.94699983832265 405101.929916024 2603.25647290885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.604271570654 0.792810516047881 197396.6572562 1031.1773720179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.56242295232343 0.508645116015277 66890.9628871363 309.815233096829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.05760016127584 0.396080579698076 26030.3539245161 277.789116925437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 26.8833034596667 20.763445588046 4722471.74884576 4087641.31569219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 3.70436852118272 9.73660110401297 48164.0263370286 726256.518855441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 2.22705033013816 4.33144138855914 16626.5955683531 70972.4002575342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.39729166682676 2.48725068622645 5391.2749263006 20731.3757818981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 77.1871860686992 164.425650301277 96041372.6174837 1185776454.33205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 20.9618046607638 98.0881499668518 2782550.4230078 451489169.165492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 13.2460061740008 13.7300215918443 3104058.16622279 1802749.72719324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 8.75965429359126 9.47580879258933 1645612.47393639 850689.089702699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.59189640887301 3.53414756934483 103079.11566989 7898.06433383942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.2222806779308 1.63269597241356 45090.7601576203 3376.44005880753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.35479306493756 1.07457991387713 14091.3647318296 1602.6104844078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.972875256185407 0.803179645055922 5352.69383697514 854.46986554827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 105.974827402616 54.4816671610526 87556310.9355413 16267339.3126885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 23.5634705679338 21.2269926484993 4965128.11429061 2741120.75152757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 7.21259176754092 9.84195097424644 434128.342803692 419033.584922477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.72960758812358 5.62094158249269 82036.3701698867 122093.968067509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 202.870949319984 165.374723743031 511617050.31684 555035231.26439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 29.1321276847224 40.8900071317253 8502909.10070915 15418275.5109506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.3985916035556 26.706860286151 657203.788886434 9036759.1451463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 9.80144224263583 18.1038291110203 282763.621528768 3097974.73905524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.38672887311793 5.5121528581251 27395.2528983254 3996.33460855676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.83692000137545 2.23833211075441 10388.6242860514 1217.16589531062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.79849862615714 1.40065610253112 3328.74927044663 417.717870596642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.32077480239468 1.05339275488854 1358.46024487115 294.120235372016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 48.0509915511034 48.8104774474172 3945104.42403979 5591261.69804184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 19.9091824341784 15.3632067715708 1178521.76591875 797580.667294127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.48546175094175 7.12068296186582 251354.83525869 148058.518863013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.56435279283657 4.52414122289193 77164.0354027868 57041.0169641897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 68.8819604912369 831.216202125424 34623274.2728818 24503425754.6165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 199.371847890697 43.2877539246474 1587038448.66666 11389617.6771028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 51.0747752741085 18.0330271659605 40909169.095818 1198801.01527994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 25.7844175291767 12.8723006517413 7079719.12193945 1559398.20468063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 14.3725491284211 13.1807641409924 12083.6158693284 4901.77944404478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 6.67174205986154 5.92148169932054 5839.94194977757 2622.6422245889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.5430378551796 3.99650479269338 4848.99649951557 1909.70773677988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.56973169870083 3.14285235166244 4498.37059248852 1511.2179403038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 67.2819670208675 76.7469537851457 1257859.68638861 1996513.20356466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 33.7971824241799 37.9782717417237 522088.574548348 664494.042712629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 21.8456731331225 21.441555674193 404868.801088543 297306.469373425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 15.6394114724639 14.1367372321487 224526.29957116 180366.894617926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 275.689979651219 220.052603812718 206829304.304261 87024721.4404007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 74.3875111739209 153.91374443191 14930683.7530917 347181390.965795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 86.8261471348645 87.1078725365154 45888088.3554994 49031917.4949532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 35.3572464398399 35.5450001313834 3037669.34798091 1728277.01564135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 19.8693882884215 19.3251837906646 9833.74508120352 5747.35790247489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 9.29016411210211 8.72362826366558 4167.18839508486 2389.86469372941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 6.22259694740193 5.81760974295252 2528.78715400657 1683.53005312671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 4.77211759530928 4.48329392796103 1534.35615215069 1246.95252972441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 70.5836358204383 67.6904982729383 564654.575443876 444690.625245517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 36.7839627226774 38.3922531875303 241018.488317371 248246.646603304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.4773214642747 27.2460278200139 171290.629780473 214761.081832726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.8836761219322 20.0369079770454 112578.405665977 152599.587621588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 660.745746202329 3684.80753870918 8867234545.38766 581635998815.076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 133.774291255421 141.633450385496 38524491.8580945 195186793.695304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 120.951586244372 59.7768386130052 154218055.053561 4676830.76892991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 54.0788939320382 39.5765426216131 9065937.9713722 2559159.65657743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.171198923328904 0.110989943506891 0.113811098599079 0.0659695643655586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0595876681435849 0.0414742588943717 0.0128700773123452 0.00831572155126473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0316181614193397 0.0227154773685006 0.00342614219294024 0.00227558972056928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0215014378663142 0.0151506816645126 0.0015343826220921 0.000913154849995609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.16286018705045 0.106895043522023 0.113800477711425 0.0461439991646179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0512461726253921 0.0332723646147998 0.0123767349925337 0.00502281984335213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0319703800001882 0.0200977478349122 0.00506105735864778 0.0019122864886629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0288543337210227 0.0175505129669281 0.004170050854173 0.00121574342375436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.104389454973252 0.08857631165813 0.0440097152825351 0.0333042603715835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0277718860880354 0.0225745805043308 0.00274217596359819 0.00174619294640719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.017217801228119 0.0127081297438146 0.000941185772241124 0.00060797432133772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0155184827295091 0.010271970725923 0.000675655247663448 0.000413100317950665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14948626902246 0.532001594211617 13848.8368053234 127.27452584011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.54778267428859 0.230982993897207 3821.09904122762 51.8573161480788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.36061890989844 0.141479399240795 1665.10686218109 22.6691867281952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.290784436039359 0.101339185809931 1102.14347653413 16.2008140813007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.79148056840474 19.4616348919273 500994.977451008 5987420.2033883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.641592119601526 1.86153426534998 1791.52119108578 31597.8178535662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.36716676081224 0.31209143598318 457.435921982062 430.362017052857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.615097792453951 0.184907866112996 6235.6127731626 110.592822767401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 54.3382144277947 65.3829617897846 103711674.744158 87057858.6363866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 12.3331355858735 7.7609279004977 5719927.12426319 991078.672402496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.49520265715977 2.67355199198763 214482.245255295 103379.381522648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.34336874045033 1.88969398056501 58140.6291299596 46324.8107794158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.6405276526238 0.781751540043092 12078.0127323007 76.6780494794476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.717740684483093 0.309911306220167 2561.38396680588 35.7713130001454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.448836065552349 0.195559566288014 917.223518512606 23.4817817352864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.312681602518436 0.151829154460029 359.459643871153 19.754731175953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.9650153878475 17.4434959932938 890961.398085888 2955078.81630247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 6.28091800246835 2.46337350938811 226651.681938799 57590.3508143646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.39366951859892 1.13489626177532 55604.3842214189 7366.48785758806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.90187345574557 0.523248159448462 16049.0719814252 1099.21859494366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 63.0194210492397 13.8665497808938 45334130.82588 2627696.67003901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 7.65385459834917 3.4166868716007 502454.418504365 173558.590076328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.87641163162587 4.12040664748407 151990.549660123 279038.61941213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.01676059432772 1.61635228427657 59773.4494900999 22442.178729063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.5545253366928 1.66169295706636 406.966310044151 1283.21649523815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.639575752484767 0.569306463869739 192.82255047898 64.643912312319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.469643696223093 0.377891300579525 271.415406503412 60.1259986099836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.385281432851647 0.297156429633684 316.084808748934 57.9126705497573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 29.2127632530151 28.2883267775244 16540320.2423339 12429924.4382031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 4.89664299374314 8.89647492217675 202744.207948097 1339234.73855437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 3.02362045908542 3.59703457815952 79682.7849756817 163044.915613419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 1.83065767554226 1.44923246543293 27039.7062148206 12220.7271735696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 6.05772596880105 113.284660629257 110300.227174626 215245423.990601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 8.62169864380759 42.4131781977042 2024488.5807188 50070741.061195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 33.3798873300222 13.8998143704494 41028894.2985693 2258672.32840987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.51022870152709 4.12875421851406 52805.3541184034 161881.279714207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.99063789099632 5.39517229132288 1189.25189208648 50560.5097189299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.78121467290772 2.35333438206076 512.265191914662 15224.5298888824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.16310725241309 1.16479674206494 341.884269138144 485.852050069359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.931409475130536 0.828154495758916 347.284207636722 311.565654268214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 24.2430094949308 32.0320944194869 1542025.97765692 1995714.89670162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 8.89748389451384 8.85429513442831 160124.288481938 139263.122657586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 5.07691452349251 5.40057135602418 39727.1585279976 52734.1483944511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 3.46042150691383 3.91719774475621 16653.7817967838 34731.355048178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 41.4483931517053 142.875630289812 6463229.18514749 427269053.837402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 10.8528383301621 16.5989578695132 415731.736568789 1074957.15858873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 8.84925260937344 76.9158920772793 249688.240595091 181341086.38186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 14.0385808321919 5.06679992959869 1490889.92857077 93114.8621437414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.49408318338269 6.32902522799414 3248.74872915619 2347.5396176184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.9216219140182 2.75419341703934 1450.92952174598 843.819757609639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.86275749957422 1.80424746229171 855.645011896084 524.908617409674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.37491663667867 1.3803491410989 532.043195274481 373.577069316712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 36.5582431885064 39.090814472256 1058631.28138782 2862625.77410845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 14.4342226717347 22.9007345686623 331726.201604552 2882560.46015059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.21378566831338 10.56248604849 183970.473118971 511690.993700868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.70580470094357 6.02622177689528 94674.9116889304 90394.4263871374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 235.256134974077 54.2040782947609 695852500.997562 20527211.4233859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 35.4891820413371 77.1197988939156 7323559.82196142 39289688.969758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 12.9820274898266 82.9325992218971 543806.984530646 123188745.698343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 38.0643322486584 14.8445514535898 17967028.4503922 1210963.11735418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.44465444202821 1.28999312667115 631.605019182212 787.306548299955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.579179762072551 0.557004708037507 212.0810862212 490.16206271941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.321895651180196 0.357523318405607 55.7862925474998 297.513790479244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.224661407891258 0.270801184359306 34.4092356877692 205.525384185098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 39.8112032380677 37.528339666548 33439336.7492745 35060875.0054159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.3908276039995 11.8280990958516 3132929.61949773 3566507.82007075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.06123618466357 2.35006218621121 278222.063913194 33078.3611191722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.15219666090763 1.66332965183464 56090.6851262514 15943.2928033918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 388.547047928137 11690.3267977534 5813451329.76604 5374417871704.37 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 11.1766968125706 15.2169992128219 2668896.72723697 6014684.0515492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.99602645168353 5.67307138396989 62338.5447757001 441531.688473773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.46268557988905 3.40822005779957 418361.242657196 215978.271596725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.35689183452478 3.02481850441312 502.196536769463 22853.0830467458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.966064866568381 1.41337843083979 144.564305378461 10196.6300327727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.589148527775465 0.884701398232415 101.88485919215 3504.55630457107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.428517081197909 0.66914938704324 95.0002172899195 1730.95441475823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 10.896350382192 39.6592691303973 275571.028816363 34909161.1458958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 2.43859013048733 15.0702709177757 8139.1454466227 4173459.61056399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 1.2534504204543 6.90155596726964 2101.48896118818 556150.107445039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.754376629518525 4.5403027920688 724.135995407414 177640.532056767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 61.0823707758853 9.7606656739321 122257244.763615 722630.092900641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 18.9272758225277 1.68350617476993 4082012.33474295 3067.34356488481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.79242511826172 8.46556452731639 30603.0385124356 2112766.43392044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 7.17000697220857 1.2570725167948 811568.499613892 6743.45939194048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.53524611358367 4.05140714071273 2928.17417085713 1234.03307033336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.90414050020627 1.72249657524178 782.312667960786 475.601057188418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.22866618841428 1.23526162804982 477.626525226186 920.515491479825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.917674341308042 0.978464237228491 302.849609003407 702.011016727215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 44.5432108859458 49.7840625027191 3122284.58180356 6236957.84208299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 13.7925379601606 31.9916793196707 313319.197920463 4185413.36953454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 6.48832807404871 22.3362426467068 54442.1439928479 3917785.885793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 5.25208307839412 14.1376573677787 84067.6553163827 1470469.15108184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 77.277324321681 70.8872104499535 22316669.4517404 23729409.1821865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 32.9923904392174 33.0832463422572 8199909.61512443 9084787.57156116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 288.757138692549 28.3577283445988 2562215065.85082 4172703.19567752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 137.672154837689 40.1807691639996 297820441.737285 24065240.0014883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.4356009103592 10.4290454472357 6180.22179805342 5293.41808226187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.96886673221136 4.48720865711375 3090.91468335927 1186.86412486602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.4220017283015 2.98338846425635 2578.9131507148 774.700619311326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.74817736436373 2.3534186257925 2348.45794482846 701.723050336938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 53.3787396719466 42.8763227170162 921300.203416536 619751.2250051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 32.5111442245328 23.2042454367514 680942.932598405 324205.559393352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 23.1642657717281 18.9274918782529 573433.929914146 331558.036750176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.7574322772195 15.5099280830869 362978.057076191 361373.743398554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 111.884461807313 774.190079629064 15919485.115475 11101847017.6362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 73.9867378040633 30.2041746594936 21719469.3857228 1339036.79043959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 24.6878183718037 50.8279834579586 753883.095202128 4487451.65942763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 24.2988781663194 66.494582037786 703790.635915061 60896565.7252369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.2413352343533 15.0576661063969 7034.75033935524 3943.69690359904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.03852248692291 7.04997173487606 3194.13247609003 2725.27007626068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.71634207968004 4.90499324620926 2105.13315798156 2444.40672383359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.68814764403272 3.88691863226435 1663.56721405455 1944.29205705461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 53.7544791464402 51.8758343515165 428123.417219493 462626.277292829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 30.8756324688637 27.1535318968877 245889.298076122 187281.638901283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.9172453352991 19.1340669416358 193728.097871608 132476.179929018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 17.704707388653 15.479786438493 139196.247631638 133351.250273721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 194.742356847202 391.876470966113 74535192.7636937 811966154.835779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 54.5835140348125 101.20803742094 3178297.79343001 34587036.4274223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 46.6002493252203 36.7037483907035 1968932.67635584 2968218.26879447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 63.7275672221691 37.67893096692 16285365.9482957 1638908.51233925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.118957010754744 0.094246823009677 0.0654752058393744 0.0386424561213577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0439467760846648 0.0374883992890922 0.00730976579397865 0.00621867672963418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.023444973879099 0.0205118645424858 0.00182934241530423 0.00177411963878765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0160465359333135 0.0138930421471422 0.000746819349233806 0.000769765153645093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.110790744903034 0.0947890068831976 0.0498037208588406 0.0314051208303288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0396184451364179 0.0361289364739834 0.00541635173282568 0.00450434066022835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0216801628721115 0.0190863953977926 0.00161144594037706 0.00132499801152864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0190322740007825 0.0163622489281499 0.00117986818256966 0.000918728763363459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0896532492409098 0.0768353422560055 0.0360086463251458 0.0212883328141404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0219274605145525 0.0205401544332179 0.00154668093789852 0.00150118470809077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0129019615314368 0.0115586387205044 0.000462461737527385 0.000505214911643096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0113536597811631 0.00983963108334851 0.000263628256081293 0.000397184421789835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.515973145935916 0.57657718587248 108.909105169887 381.071424257968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.198207622286674 0.211711259286654 24.8428214936684 42.1233903165492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.116789015310685 0.11566991753458 12.9176497987563 12.3837228470762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0865773968128092 0.0751418556662487 9.46103038692267 5.81937907150891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.92711586219736 3.89735713062645 303780.310330841 154077.536762739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.542870433719965 2.57979970318005 1152.69011686826 54250.9841208145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.231421511158054 1.70396993993841 195.338433290458 25141.8878688029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164200800527872 1.27260674077451 93.0222610446738 14201.0116134922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 5.43638038292998 5.34086597767418 479707.85559265 454684.636055988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.08601565832937 0.572862531020174 186193.911746521 5929.32563401991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.642488687172625 1.424191685813 4774.27717169663 30523.7609931062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.579838775302415 1.1010202880525 4232.59240825746 18730.6227825537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.29468403532765 1.00452621786421 2885.62265877892 375.214334637392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.64913267755853 0.54193391524464 1120.92175755005 264.066871105524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.401943724050992 0.377246425775492 428.714817700962 165.975994882125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.297341404976205 0.291741741483358 293.780212615187 118.755766605432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 490.353735729732 307.00562528133 11682149124.1996 1617789242.4965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 31.1662389896749 125.220859004183 29475266.6086665 515847042.687649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 29.6386681072038 45.516254927607 25305674.5436846 74397874.5969561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 7.82774691033872 27.2185270344038 2162419.54574585 14486073.4497787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 21755.2200289483 223.465365584038 14612570864684.6 348699493.721679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 537.346402098001 38032.7232344621 13173303794.3284 75223053588283.2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 43.2164374175844 108.26230320876 34835431.0656798 459044098.691406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 21.9336515930993 30.746760203131 6259787.38594983 14394799.4573831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55423022861428 1.61564999761534 273.691296542608 434.785310853584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.639016561553877 0.682149593235142 103.549017627163 174.740930186368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.377756601969502 0.408896502298993 57.7206564394173 80.8266196845145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.264060941938518 0.291884078271188 36.8442052983598 44.364743942536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 102.109142542297 42.4687631149829 130240798.673014 18518164.9190964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 7.99446502992449 10.9447028844003 731924.896627005 684212.616325015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.52179770944569 5.88215931353435 215943.981337629 163207.510439417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.37340844027942 3.39819854310255 47860.5108425786 50387.9196727949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 140.959927832017 96.538584769089 327612573.222532 138329349.074002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 30.9396534358873 12.0857731323796 13454461.7893798 1819488.10424199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 10.1689329031551 8.60323354461071 1829026.79172522 570314.331515606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 6.51731165363814 8.23647339943138 978894.228582495 513908.156725368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.35279513342777 6.12698177202274 3339.57341117997 236197.595079156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.91966848268032 2.55484134646849 1478.65459736747 32649.9775291048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.24894375294893 1.27704901193591 1074.95263956676 1053.11281739253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.952366340705744 0.959718722070377 813.299649615869 410.867209737209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 52.3089285025212 60.3809895421352 4870490.38175066 5314440.60681266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 22.7635947392926 26.5631895592453 1425286.03903084 1626120.66777715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 11.2389831323521 10.0594833919554 302632.377623465 152085.717568376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 6.1024590349442 6.13534233490617 57669.2495009093 51452.6873643113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 165.17683446279 157.221055687168 244571736.345655 115496120.430517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 58.6405123407296 116.981553631963 16070124.6755609 146723816.446175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 25.2886653999064 36.3970973080756 4202149.11069272 9999445.33314743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 22.6494196981394 27.2006601544042 4547387.6309243 6803068.59367609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.26029538976262 6.14861013885967 2328.78684313724 1523.49208707049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.63864324870624 2.77383358437704 657.232639197329 755.343707501783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.65139460533152 1.8308515784281 413.349518451127 567.211662938021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.23357351024331 1.38814315989239 335.306927845056 470.322789376373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 62.8356536705083 68.6043934813245 5593003.64067105 6194827.7146304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 45.1882161511638 31.5644941476979 4576390.71488905 1453096.13688324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 27.7015508326429 19.7369072852781 1978890.31069775 673573.132340521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.7270305452457 12.8868404353658 1045338.75982414 279980.800245398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 640.350587200424 225.267500830589 7539288394.9798 281560057.63015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 54.7486475683309 82.6388110042055 8844303.1450639 36235467.7385742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 44.8081099462106 48.3365094119834 9202663.75663452 14529031.4305829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 48.4649464174725 32.3151342012904 31546196.4641859 5124381.31766237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1792015760853 1.26658510356751 328.058529802459 451.440762517602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.480116448866341 0.588854534118986 91.1402647074177 253.332553016628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.306522649736324 0.403079802293983 67.9271077441946 181.454796318234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.237341043670788 0.316194311629861 63.8652573314269 141.137731777973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 61.1466523325088 69.9481015839075 35788291.8455756 172722193.226551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 24.0952966021578 18.0884577076634 3942214.24623224 7632128.18781009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 9.32852099859721 3.32067996999079 532183.326728448 41630.0574472437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 4.96272606121085 3.87542905367316 129302.134067851 197184.269963866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 17.1925645962361 119.084774570153 1744846.37417814 160610981.820643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 28.0897805693633 27.5866159141639 6513529.71846939 19167121.8064498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 27.3621769428214 7.37791271150849 13046573.5812553 468958.991438475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 163.607856750606 3.01054085859805 1176258462.1497 30620.403290273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.05460045194699 2.04467699078487 503.92684720916 401.245448995916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.924767613842639 0.810854842825917 329.630191955321 185.424961105709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.571602875307441 0.462766753375653 186.63077748622 79.1120368814212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.406593702439762 0.316259940737123 117.459506388771 41.9688182302316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 76.4877183496526 41.1940315250315 60378799.2006622 13398873.8684471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 11.8749469081476 19.1642550722549 1136101.39226059 3481966.63045348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 4.11380722368606 8.02229589716021 87045.5895168552 445112.874285219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 2.2689568663104 3.72945860048095 22968.195688015 66824.4712289051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 247.79482322174 93.7896281856534 1315283605.22456 226498794.92346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 24.1297313285339 677.138418954432 5460886.41408467 23080625647.0056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 14.9534776467446 7.07805985452371 1886647.62883423 294261.779875881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.08928033906632 22.824777576519 157196.669368719 10004557.5620806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 4.12878990480656 4.1623336173842 2777.11915481775 2278.99092881376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.95325882291662 1.7123048813037 3828.88914085225 453.29575579081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.37661159629415 1.04484330905406 3341.78432190523 365.515606186147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 1.14201320402427 0.792863437000735 3391.06911191611 402.021854146513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 62.2390259853116 52.9182719678346 8547380.96513232 5468593.09701931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 37.8306613534003 27.9615830372368 4504157.83244472 3654757.11297054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 26.8153536285714 20.6681275177034 2900103.71074145 3437563.02504657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 23.2169814546354 14.9976539383709 5984563.58005905 2043857.22963743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 994.037572450381 659.018809384645 19866522959.246 9211431219.07224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 144.991403331887 146.390355429009 383361753.085706 460908430.259502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 33.5680925063328 84.7759846612148 7555924.13821259 47823541.2976074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 53.0885796878269 21.135544314583 30265216.7787392 1276478.21139579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 10.4360470357891 9.94571035813774 4665.59830069502 3645.32241384072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 4.82223286356607 4.37046663669351 1982.85358166144 1159.95357517493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 3.19914531003403 2.82152619356332 1382.63035269882 852.013301358753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 2.47403028324871 2.17266803654089 1129.06852545912 889.042592332783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 54.9511863892219 49.8255815415426 931015.525608132 966750.109066866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 33.082002605199 26.8698153962792 512207.338007297 502308.216420395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 24.3388480506491 15.5856019496055 506615.674481218 180906.1210213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 17.4292131186458 11.2246394860282 349270.106423343 93979.6757944945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 149.913230506624 192.958337003435 43906152.0347335 90282606.4833659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 116.883081278113 66.2253094122068 192676827.95465 9855811.48135339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 29.4501988973196 65.9231946770233 3274185.24666321 17092456.5911001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 58.5949120206976 43.2030761981637 47934882.9953942 15130611.5766524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 15.4449555191012 15.5851038714833 9215.25687503946 8652.38793857814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 7.10179081018219 7.08820280467495 3364.82950369401 5348.73014088745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 4.7018894263137 4.59920946958254 2088.20778066569 4587.95369717351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 3.66932579493296 3.51483191860471 1525.21068366492 3490.14025491957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 52.0480530170075 52.9049832285935 386380.998664326 423251.718828758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 33.3489271606774 32.2555015890825 309849.80590057 293033.253607758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 22.0519856526278 23.9140854038625 169952.234031951 198983.891653195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 16.9380610853043 18.167492739848 118536.599918238 142590.997590249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 303.007519750551 1089.94689922674 436388563.388768 37854857030.2911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 100.577996556463 96.2595183437986 59512406.3938719 17272001.3349503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 139.678047912416 144.898077294759 150159107.505333 160444682.90632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 96.4382392708921 51.0340346684464 83860220.3402033 16083422.5472385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.149455533411461 0.147060551112287 0.061573682382473 0.0888735787349457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154845902332946 0.152387560243834 0.0457652951690306 0.120599342879849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243481474051431 0.244728611031017 0.0793301165852607 0.311067971690394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.35220132644233 0.348221555602446 0.162141167422516 0.622961623267308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.167093900541585 0.172669612271161 0.0726301481624036 0.104693458666483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249022048159759 0.254595304165921 0.111944530009602 0.291901158538862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.37218239483707 0.376359765472864 0.217334885682962 0.692517869415545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.497323075364733 0.498208084783988 0.407085787234621 1.14805518261213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.118697897372446 0.111125494163609 0.0357635258619505 0.0577991574540774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203723645726172 0.199042102343001 0.0795809706312508 0.206478233561257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.349043931497834 0.34354653815468 0.171644771168956 0.591775570481277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.492373082390405 0.491467166196861 0.283178319050526 1.19502652674422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.149884301753788 0.147214107666023 0.061986906511261 0.08901373262599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154950340184987 0.152480319570293 0.0458453577994363 0.120687027285618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243451583260318 0.244811900153205 0.0793711543458066 0.311150177844328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.352195711347042 0.348246301866773 0.162154078201174 0.6230053440417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.16734415384403 0.172652380094782 0.0728325238214001 0.104602404222576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249049167746093 0.254560169236366 0.111983029525718 0.291824614311586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372191271797779 0.376377893443508 0.217373969792573 0.69259819435954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.49728845053132 0.498250107338364 0.407063505205784 1.1482203324474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.118872801405262 0.111232325870562 0.0359303997736556 0.0578017627708457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203743245752881 0.199095216485142 0.079598013422053 0.206537066716635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.349048815960912 0.343571409080785 0.171663508371387 0.591849656546216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.492401558417173 0.491526010266794 0.283202524384814 1.19524039384787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150932224643644 0.148042456551836 0.0627274427642627 0.089665244786409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155148919279114 0.152706408652631 0.0459649475845178 0.120881315090065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243433402268193 0.244907302322761 0.0794243519647588 0.311255114301508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.352190896983451 0.348280962742107 0.162173894920175 0.623070710390804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.167806930823906 0.172837052766804 0.0732043398958457 0.104693901607366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249084509058256 0.254528911250881 0.112041605085577 0.29175847754221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372209876572445 0.376394854123383 0.217427407746866 0.692679551587954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.497262140246618 0.498296155972403 0.40705332197879 1.14839860615298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119256478614128 0.111530222173651 0.0361717213231762 0.0579467449294242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203773806790482 0.199171624935812 0.0796232814618483 0.206616023852421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.34905443486872 0.34360050839118 0.171684285633755 0.591928716930526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.492429226798205 0.491588508727995 0.283227738374995 1.19545221734821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.154566850380309 0.151422636440749 0.065250187345765 0.0923994968852522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155801211843071 0.153538876938104 0.0463245961527883 0.121585294678349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243443923008927 0.245168360170783 0.0795718499503114 0.311568458498832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.352190037747537 0.348386170604213 0.16223790352645 0.623276393601623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.169442255193278 0.173808268294694 0.0745630316198838 0.105417295706024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249180448721467 0.254514464111169 0.112236900601932 0.291693045286547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372279960049493 0.376426482029457 0.217590002816623 0.692850961042792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.497223038969394 0.498405273548142 0.407075071868259 1.14880928942238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.120586585639059 0.113017855852806 0.0369003682942294 0.0587716647847489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203896505767173 0.19938643273173 0.0797066003345582 0.206831420516151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.349076144917065 0.34366560099006 0.171733754084329 0.592095908414478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.492475037976265 0.49173872020135 0.283280584909287 1.19589177647509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190602367234578 0.185857627577029 0.169938866797976 0.15234226897245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.16503580010993 0.161152785400128 0.0692849586645471 0.128249750952718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.246801436753532 0.247148281748441 0.0912569275273412 0.314163016482417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.354616422743141 0.348921266482788 0.170764239451537 0.624222971502575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.188334736222426 0.185133277430753 0.165302307191228 0.116390736445864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25331431358385 0.255491866514669 0.132559862463376 0.29292482533212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.374489018196402 0.376918761369734 0.227816075860321 0.693957371875649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.498512522036788 0.498758280644339 0.413662123494124 1.15012733565011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.140178150615341 0.130769042602715 0.122949435686352 0.110418181435244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.207078819312196 0.202314503226916 0.0903621046554592 0.21252376173671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.350016555015668 0.344808636198569 0.176400518838633 0.594780747066076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.493406243277737 0.492515061030008 0.28609939938643 1.19749525705792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.236843235857958 0.23641805472239 0.232941501766569 0.375450810503086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175801625160239 0.17733766989406 0.0695613834780473 0.200584524677169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.248630123206061 0.253517356380315 0.0917090374444544 0.345970049680967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.355013562292094 0.352898576794602 0.170720472994756 0.642328004175755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.213420619955539 0.20718195816498 0.469590281455775 0.178241822847147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.255004488908741 0.25924671541014 0.136865810998969 0.305486793091092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.375322745014507 0.380087663576302 0.23219294218645 0.705116668650731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.498610385563243 0.500882915296172 0.415267610558639 1.1574353753185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.161819981847221 0.14867407174671 0.186237643303189 0.0940940852410862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.221083684875228 0.20604295464654 0.363929206315695 0.224675750577251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.365887473126515 0.348252771003824 0.547179063880608 0.620374362678616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.501326500390461 0.496404241282217 0.396190875053549 1.22705719165717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.152711890753047 0.149734422720034 0.0639303318389379 0.0917970563373294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155559760363308 0.153057530594487 0.046091338334574 0.121041499381031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243579157666173 0.244882689456921 0.0794101262396912 0.311163916458812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.352329471177271 0.348307275865621 0.162236631784665 0.623022783447172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168572019355522 0.173990092829256 0.0736896307336847 0.107693981314784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249397451637758 0.254881053211308 0.112122878846625 0.292858256406198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372183623764834 0.376598130955219 0.217198769764641 0.693109058130761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.497364269424158 0.498347878519917 0.407070496293593 1.1483010983265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.119489357312424 0.112946789796044 0.0360519274432205 0.0596053130120778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203689288604786 0.199369740320791 0.0795868607727342 0.206933756094641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.34890243353213 0.343797113061879 0.171710114220533 0.592323349621342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.492172432476108 0.491590394495299 0.283143925032077 1.19511057983567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.161881661320579 0.157965683601619 0.0718918492987811 0.0999323642363827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.15776980575933 0.154799152767856 0.0472084424827839 0.122341299608217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.243864693251974 0.245251981503889 0.0796847993029862 0.311579075901752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.35265094800139 0.348474788059899 0.162505430435205 0.623314767448084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.172012715203138 0.176940713657971 0.0763275949730416 0.115708969907572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.249815873114875 0.255289568681126 0.112478636617193 0.294280889181363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372320271005179 0.376808208362047 0.217251874020744 0.69372835702638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.49751516284904 0.498570727569095 0.407308902588467 1.14878032698373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.122990592490024 0.117096391995543 0.0375590038440793 0.0630405921718641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.203863806545971 0.200000371607681 0.0797035589444735 0.208089394170586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.348792713520504 0.344250145116931 0.171821051381227 0.59385910141839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.491952745864487 0.491978452298215 0.283141421128181 1.19594468685889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190007178414329 0.18635808582898 0.100301570895317 0.127721635557931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.164235684612297 0.160540702914407 0.0505093604739 0.127319488930547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.245457124558425 0.246543790471341 0.0811464616514862 0.313416942253799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.353743657613525 0.349025142937109 0.164006231526003 0.624379426341889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.183121420851737 0.188228060432049 0.0862457052402646 0.149200435874202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.250717818555306 0.256459278845193 0.113715833593907 0.297463317175803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.372924586599456 0.377336475996272 0.217940861615761 0.695154772765709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.498146043628604 0.498955923507741 0.408735658115465 1.14974625409084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.134930813084417 0.130056002047162 0.0437091970724087 0.073090950783622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.204814527550913 0.20195030062148 0.0802053076370835 0.213331908593113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.348672029817767 0.345689301113473 0.172165353916786 0.602130342525899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.491626252581558 0.493230468725153 0.283164643439405 1.20213166854971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.348638538106914 0.349109209453037 0.346853279117318 0.364570245062518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.210871494033943 0.203785875181108 0.106889729239916 0.173849559551952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.259078209059559 0.257446588149968 0.110833046139032 0.330920314595974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.359962807287489 0.353474848209347 0.183911162138317 0.634002669137099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.259300940399107 0.269619970198034 0.179045729734937 0.475812410944651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.259159054623088 0.263574225201895 0.125767831841545 0.309467818734874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.377984669849033 0.379785030491216 0.235760192775206 0.701525326430508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.501458072904265 0.500510700820218 0.425231776238948 1.1540406501598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.209691913422927 0.207355145315893 0.110886812557806 0.154435941570869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.2142243021341 0.216615239101632 0.0859956899649689 0.358588437925641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.35062997854687 0.353997543751964 0.178136455125254 0.779262791179432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.4919295145787 0.495608907838301 0.287615572112983 1.23795373281364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.529502426187946 0.538264457645504 0.873990123312263 0.779293369565693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.268034168436819 0.261090706054141 0.221928112212423 0.252292551790951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.279081954336448 0.274784679023733 0.159356147857122 0.361215023036527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.368591289882888 0.361634579466401 0.210798466792477 0.65309051301831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.360870744815739 0.375487199771147 0.375044606677269 0.848490186944263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.276427169607604 0.277085361821728 0.179710111933879 0.331186520716682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.384492473680426 0.383861217661456 0.266187656955205 0.710295336958815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.50448768523351 0.503699695579227 0.444870461219865 1.16255235882057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.304783358786458 0.304248060416928 0.26533955336563 0.326452318010349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.229709445202196 0.239312211634872 0.101334543782723 0.922708143270662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.355520931243913 0.358518040476737 0.191744124129853 0.812711185884986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.49260856626109 0.492560901172711 0.298027427258983 1.19265769522703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.156833583098024 0.140195390400511 0.138230763067445 0.101817672481639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154755857671022 0.133644010668411 0.1250645303046 0.0630310499456109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.187956803954659 0.160689494033662 0.149216723691091 0.087110321173685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.218178508327527 0.188119121699551 0.176447609259848 0.144478736442117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.165871712378298 0.139848061572757 0.176611600913247 0.0854174314571016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25015258576792 0.22237470088031 0.268841093504847 0.174567876326847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.308711570743665 0.260526872171283 0.348588176995553 0.266058062759225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.359147911110435 0.309769144394474 0.430617710155589 0.422752857858243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152163413201584 0.115403148344024 0.157476354986651 0.0606237529790831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.580600373801431 0.389174782427776 13.3563970509371 1.99201112064664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.84863264344022 1.78572980592633 31714.6709484534 551.276402884808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.795125564863 1.73928353452312 47.9643215780428 60.8578209423123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157123957349783 0.140931180804262 0.137459258017107 0.10200530902004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154618998168002 0.133733249084741 0.124759355289495 0.0631183448872402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188036943679697 0.160720813358205 0.14923018724008 0.0871952666634555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.218348714178927 0.18810230861911 0.176649402828613 0.144549256128716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.165984889860541 0.140533773067794 0.176215005671371 0.0858186822646806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.250246962934676 0.222436967334018 0.269166518273969 0.174876872010953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.308840237429383 0.260637801149878 0.349171075272298 0.266545908909968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.359272935416937 0.309821782537828 0.431371857501379 0.423166985300359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152496263964048 0.115552887274326 0.157556056205346 0.060657265581061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.581418284857689 0.389201873552443 13.5219016058728 2.00344423277627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.68767157055998 2.50072227658928 127.280575148537 2175.87837333936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.7859519302033 1.73642893887632 45.3631169855355 57.6180800744264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.158419501639915 0.142860584356134 0.137334630534146 0.1027334310304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.154665872841001 0.134022990161884 0.124574351095918 0.0632846135852273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188174415875501 0.160785520126573 0.149292235498621 0.0873108200148985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.218539459200647 0.188108713581342 0.176881652838698 0.144648644442948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.166575838193143 0.141785662658467 0.176160223621054 0.0864360438741318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.250354159378251 0.22251959227857 0.269521389111021 0.175211752426499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.308971079977006 0.260753605866632 0.349772747874726 0.267050168903031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.359400275925815 0.309878828756878 0.432143467385794 0.423598801740128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.153263092042409 0.116120555574435 0.157905688867363 0.0607973868482834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.582576981864428 0.389329302710767 13.7478288813756 2.01806149849147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.58802525179413 1.82599931913489 99.5747234653119 502.460588025514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.83375065890238 1.85173520206344 51.551152131299 92.6346870528657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.163191859856204 0.148698086462224 0.138754543501561 0.105438122383281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155571002447947 0.135062404925631 0.124659364304489 0.0638282045046232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188590546999975 0.16099000081228 0.149551657664269 0.0876254510924156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.218960495932682 0.188170018758598 0.177431649764463 0.144922201942921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168753239212659 0.145304766142652 0.176884602371825 0.088196430003553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.250653427146803 0.222740683447677 0.270343308684187 0.175954779840714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.309240172603212 0.260991731160586 0.351032091683474 0.268100834689332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.359674802295483 0.310006511920566 0.433742651998477 0.424512524244603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.155735332785865 0.118185040463563 0.159259836334794 0.0613614275108416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.585898832016837 0.389872532107136 14.3874368222268 2.0569450629114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.98698172338891 1.35715495992587 375.578980328237 124.222266764686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.22265880687332 2.21767118998703 1150.89945440776 281.571944435595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.197295363650414 0.186192667467956 0.16276535400671 0.130616055747436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.164781079657218 0.14385418642067 0.129255452916961 0.0685884218977936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.191858303438146 0.163072596834324 0.152302046574808 0.0900601342940148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.221076009894247 0.188992073604824 0.180734148660751 0.146934247928581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.187258546216764 0.165776538524102 0.189595048618483 0.100980750129237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.252756460143695 0.224712679275266 0.275001683289619 0.179952130320466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.31057601123684 0.262028378405533 0.356864745825365 0.272788785250878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.36093323154321 0.31060880068941 0.44080924105974 0.42865768154008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.172751354692501 0.132594382442978 0.171330193275103 0.0667833409128901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.614597814472039 0.396481460462215 20.3013695291162 2.36698561244828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 5.01762467202747 1.33536792260018 16410.3480616558 134.506822531879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.97136847756335 3.67654910967791 147.991988812879 5260.01750317199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.242832973319621 0.235403079120395 0.214049359996102 0.176796856640804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.178125723161974 0.156893369387346 0.139077544301329 0.0769988455998645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.19689954199162 0.167411215117915 0.157526243637057 0.0944203210067898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.22392121673467 0.190551974680957 0.185767129507104 0.150213529195475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.212659093163469 0.192064976915373 0.214717528679538 0.122165542412676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.256402412792987 0.227884709811842 0.281880718251756 0.185257705460067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.312407797328527 0.263299693885942 0.363941863336152 0.278156564029065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.362470969996313 0.311600411742724 0.448865680007425 0.433614176452916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.194935784663885 0.153109320508936 0.191958254969978 0.0771667773245715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.684276161590402 0.412850011651601 39.5613144137065 3.17747533190918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.292954267124 1.28507537281378 46.0742776050966 118.419246227332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.81523271480204 1.6444469700728 83.9770113589219 50.4580931978367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.162346874264863 0.14568000639701 0.142194941525813 0.10489128664957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155692979762978 0.134984704882119 0.126420948834881 0.0636836661522792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188107403878553 0.160633825525708 0.149993060274111 0.0871100396684809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.218305535686351 0.187879338590672 0.177746277778337 0.144040139112816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168708642961872 0.141698025386288 0.18216985156085 0.085648025276654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25062291392581 0.222674723920627 0.270750235626783 0.174730279504598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.30890881094515 0.260488490534335 0.349728129164161 0.265615332466121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.359733710044604 0.309681767492288 0.433413701839923 0.421890916319069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.153814339622914 0.117674917229902 0.156371973262398 0.0612371367875752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.579698426078123 0.38561978276018 13.3508228293723 1.85749629565816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.46785696086603 2.05389818562709 61.3430786158833 695.508995243919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.15345622755983 1.75021167971149 123.391993984075 74.6445535762222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.174575365170992 0.15848061513483 0.151769196340347 0.112364209127813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158469111056693 0.137925846591797 0.12904413939776 0.0650335657761155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.188642558927043 0.161082721623453 0.151287929794201 0.0874267433245447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.218590248315618 0.187785733747228 0.179468475283573 0.143799873528446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.175134526191853 0.147653916284061 0.191253057768284 0.0876767906192226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25139981826419 0.223276382257899 0.273113214543742 0.17518449068521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.309179887365501 0.260543387337065 0.351217658406077 0.265322280198495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.360337404542008 0.309626736741979 0.436530249638485 0.42116250245872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.157753866325687 0.12263201877702 0.157069918886388 0.0628457734453066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.5795751412845 0.383085688024248 13.4489797847157 1.76296478882511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.34561379308538 1.36756970839368 41.5551399770321 133.89297626683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.87685146286244 1.89843720227807 62.6439685024559 202.576004549521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.206542846151039 0.192986908959243 0.184151934982438 0.138202711418059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.166928778603416 0.147772409102594 0.137183729101029 0.0700879175180563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.191057653186453 0.163466137771416 0.155460117663106 0.0890660918791619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.219839664797162 0.188214652907006 0.184158996108569 0.143886773708456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.191855129927343 0.166245386581834 0.217190012503378 0.0972230953987089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.25396593546264 0.225573788118602 0.279067387766591 0.17709969005867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.309821051610505 0.260800464085968 0.354957632505856 0.264880866132298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.361274991979248 0.309391749513964 0.443345905161895 0.419708996208898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.169127071472541 0.137468406595209 0.162655200615823 0.0690886361231699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.58156681108372 0.38187296561928 14.0062253125808 1.66142298558857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.1877293937871 1.25298677993115 767.782925155898 50.1010314833188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.20058182465533 1.91125785732862 139.86313380481 157.896110278647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.375819383228347 0.364409992058948 0.480555626170884 0.354877055515756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.218392168217446 0.198605511155259 0.208123405027207 0.10770840955625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212015813495771 0.182589022396131 0.197947198770057 0.105185294108312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.231560071700432 0.195443071823823 0.225189022187106 0.153083174914798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.285485510091758 0.265153254757548 0.423006507990236 0.190804823906432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.271695566542447 0.240420752695835 0.322256337852639 0.195158894239958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.316697051508193 0.26540362620907 0.389590899545865 0.269944219884739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.368648153002411 0.311378555073838 0.487163472378015 0.422565129530544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.248729266429454 0.220424721302408 0.265727580961771 0.128433745405397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.651743192958212 0.40535176282182 33.6662459428209 2.55406203313615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.15918745496805 1.10061598336356 33.6309330101155 20.799221567505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.9664615647342 2.55567455170629 100.379746038934 463.837808295066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.563446295547479 0.574767321140189 1.05694580838063 0.946865581977713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.284804491478097 0.272698668991163 0.319636615709657 0.28075731918587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.242941650255895 0.218834896318123 0.269820208058788 0.186509600262861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.25197614260469 0.214925450289568 0.289887846850092 0.205713477300762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.384623206838274 0.416093709975848 0.574960292793085 1.37364235225178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297992012886631 0.269670738625694 0.402405467719502 0.291157313406316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.329890939399044 0.278069999647679 0.46341174295774 0.309763415821558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.377652371783387 0.317990522426222 0.553003456625164 0.44703543169084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.680973060694492 0.320181287402254 65.1089816817725 0.240530510075756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.98269576342668 1.03494548904683 159.888083644081 171.565883565132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 4.18085614064169 2.2683403706812 3507.03259759165 501.101007799898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 4.56227627435917 4.04302254609732 3272.69181539256 3327.70562161511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150904940988376 0.15168931374018 0.0620667643820423 0.0790558981716562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139049382705734 0.139278341832388 0.0359667371989015 0.0901656780789881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23278574044078 0.228280888966235 0.0797637484595888 0.26763772907174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367243855858746 0.364040244079616 0.187538085875655 0.652461791329289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.167784651238383 0.170206280068981 0.0716941315607112 0.0819741366756387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.242479079550227 0.247929027389415 0.110497480934018 0.244610039935311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.40522933088946 0.393837097467265 0.263288720418271 0.71079113532924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.55804089679284 0.554191917045182 0.513485918082407 1.33151241045346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.111914926301173 0.10280238655387 0.0298697088172993 0.0418068952950532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.162943732682663 0.167000054985487 0.0568786267384698 0.140841565019728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296408784015875 0.303392976763825 0.156602503139135 0.489773625544615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466696471433392 0.475663741322296 0.310404206422779 1.16214641310634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.151641640855631 0.152092991804882 0.0623782515301259 0.0791238324952133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139269481728573 0.139294476140271 0.0360090828833744 0.0901671649037668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232864306046262 0.228278350376118 0.0797901027453268 0.267629753385337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367226446112224 0.364026581749684 0.187537159019389 0.652423442160118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168224316871933 0.170125970914415 0.0718356676325375 0.0819487239812885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.242485559808458 0.247946773636501 0.110523855524146 0.244670275708095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405250894621796 0.393853243961629 0.26334209116787 0.710834076777505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558024647469835 0.554210412488581 0.513443143741174 1.33159056214004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.112335447381396 0.102935491271593 0.0299976639509144 0.0417749049905958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.162989595814217 0.167030620440331 0.0568881675206177 0.140869456027977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296432095486577 0.303390751659957 0.156594112704748 0.489805621831164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466697148854278 0.475667569326631 0.310380494667176 1.16215362335744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.153010186940465 0.152992506032966 0.0631274052313362 0.0796072689456122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13957872048459 0.139430743042657 0.0360981357032785 0.090260684241168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232966293934922 0.228302434376766 0.0798314111573742 0.267657828020038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367211867601138 0.364021846583829 0.187545443044295 0.652404984771906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168804130840567 0.170221839632201 0.0721439390770271 0.0820786448805667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.24253283353498 0.247978564024697 0.110573385598995 0.244751864265295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405275964472748 0.39387659628631 0.263404261345132 0.710890612501328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558009128296182 0.554234067361694 0.513404365643192 1.3316774669091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.112969261216951 0.103273483003894 0.0302299184961981 0.0418514472810099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163051020048875 0.167078519758488 0.056903852796582 0.140908157944412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296461818164258 0.303394861007989 0.156586681970227 0.489841480511069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466698598845918 0.475676507013176 0.310357208725876 1.162160979234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1574047168117 0.156320769267986 0.0659106457609554 0.0818553303256478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.140498516336467 0.140017503991888 0.0364199721688842 0.0907034758409437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233253118842527 0.228408106813063 0.0799600478519642 0.267802800013033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367216235367637 0.364036345233584 0.187592290976021 0.652424427368276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.170383891372774 0.170938639604658 0.0732533999863719 0.0828091608741755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.242689865795642 0.248062979330513 0.110730656701451 0.244963305045537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405330413643715 0.393928008302319 0.263554461661749 0.711021790983294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.55797923039231 0.554290449037587 0.513337157300011 1.33186549775795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.114851861271814 0.10453983502408 0.0310158201668798 0.0423329988402238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163227836273006 0.167221772227492 0.0569539802498268 0.141014917459333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296526856805136 0.303422887540484 0.156573698099504 0.489925152752074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.46670552277583 0.475693364561452 0.31030980000744 1.16214816438521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190774208356275 0.184932439383368 0.094029889938702 0.10676489894173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.148256083787604 0.146220637686241 0.0397104262761933 0.0957843386747908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.235103132947921 0.229783979979938 0.0811005080147029 0.269745795996037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367461833581634 0.364349600685021 0.188194632544208 0.653184053735187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.184256760634569 0.180449658632706 0.085336260584804 0.0920958080100065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.243907489172528 0.248842815731545 0.112129035988575 0.246580642239783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405742404073868 0.394240019688655 0.26456645911987 0.711862340118094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.557948366043046 0.554611504248382 0.5133561513375 1.33279217179666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.12927238616673 0.117111286917167 0.0385583901956787 0.0490263391015505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.164471905746971 0.168582854903457 0.0573844198734006 0.141898338696555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296836386531974 0.303667642242831 0.15653430033211 0.490245885327987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466806593623722 0.475712049409214 0.310082534090902 1.16165077063254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.239313282786137 0.229424827775161 0.151006237800777 0.155997320346202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.160917027502164 0.158218545408162 0.0463885656621458 0.106175622683881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.238310712151013 0.232616426442934 0.083360375277013 0.273862699288796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.368212392667362 0.365106409768194 0.189591778255786 0.655133604288784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.206280940368725 0.198217836442214 0.109622249870098 0.111112091618881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.24653053995526 0.25046187586854 0.114958711623449 0.249520542384391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.40663983581286 0.394732736862919 0.266403804337356 0.713257095336028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558028347879039 0.555085500517118 0.513888505056762 1.33404055662835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.150959766326936 0.138462285401447 0.0540294389533428 0.0635332616639931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.166458793970036 0.170775443797842 0.0582338014879812 0.143214942549263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.297364099257414 0.304171507606088 0.156523599009743 0.490508885120865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466811308986431 0.475712541630757 0.309709795086944 1.16045115397393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.154334599957535 0.153955177504831 0.0640339029373412 0.0802568524399037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139687104968759 0.139993515410857 0.0362400120835684 0.0905661457424626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.232864661086132 0.228452916636443 0.0798865527680076 0.267848118615763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367265691295965 0.364004687980315 0.187680179726448 0.652468447571308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168087425013619 0.170796768717798 0.0718592387452046 0.0822498454091863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.242496764043329 0.247629946043662 0.110461725710476 0.244395736071167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405352199906654 0.393795751081693 0.263413379842963 0.710879639873883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558102619304768 0.554110180225972 0.513809429694515 1.33136694195037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.11324688709924 0.104024837095357 0.0304976871182996 0.0421462841607891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163130297748083 0.167328943576241 0.0569050330692085 0.141128522989457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296674740690293 0.303815121666494 0.156708216618616 0.490402228588496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466763807189628 0.475691443801017 0.310598057680088 1.16222748246823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.163012837022538 0.161485758439757 0.0703131381460959 0.0858106936243161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141356991966714 0.141756343257164 0.0369984111962024 0.0918091266568126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.23315392475439 0.228834096041412 0.0801533981090783 0.268357220172226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367354146168738 0.364052455333188 0.187906049016927 0.652654321702073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.170320712299854 0.173224455544576 0.0738103151488878 0.0840843354604877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.242643623712286 0.247450887022639 0.110592419362183 0.244373743148802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405493023679167 0.393769580875806 0.263605250371043 0.711005651325648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558216146590626 0.554043997634156 0.514200207483317 1.3312577099805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.11650927240483 0.107235803550667 0.0321528502643369 0.0436739123699982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163460442802831 0.167915341332766 0.0570006641769084 0.141597282460721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.296955931468846 0.304262415194721 0.156836181774665 0.49103696523566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466828668451805 0.475739384795053 0.310798763678158 1.16228312593366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.190286756379099 0.18699890422834 0.0952620462379523 0.108571630213813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147617146746166 0.148198965163719 0.0399994700907962 0.0967505673287678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.234333629810207 0.230184476263686 0.0811099827129668 0.270244075099489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.367680573567709 0.364395501286457 0.188604437976022 0.653553860465558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.180455498399924 0.18276429707403 0.0831773648241307 0.0922586847906929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.243488053006085 0.247573259929618 0.111385487024229 0.244992246243733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.405857358957476 0.393728852309298 0.264194902377907 0.711319182339795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.558504849244912 0.553987699064044 0.515152250577641 1.33120176155411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.127493838940365 0.119244191890541 0.0385112552632602 0.0503519568734881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.164610675725146 0.16954929916484 0.0574084323608255 0.142902655066439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.297549973361189 0.305250766314554 0.15715803144928 0.492354130121009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.466943844609137 0.475901451875321 0.311211820818491 1.16232501848081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.361702013645633 0.355276118042402 0.374631364398746 0.34746693258711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.19646913546386 0.196037684655304 0.0723998038957576 0.143076400874176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.247542291415277 0.243886950357466 0.0905636798443045 0.289887046150951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.371285302122668 0.368758080002754 0.194699337898046 0.663572035942661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.26309776982307 0.25824535455212 0.193294725537913 0.179985104209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.252890950533873 0.255545812661041 0.121788782635904 0.257094377119602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.4090270284971 0.395128295776338 0.269587172326544 0.715222028239554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.56037951114307 0.554685483780038 0.521428457788583 1.33291571788292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.205822682709237 0.198749201882442 0.109573729220713 0.116502680620112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.174245557782241 0.181107008204325 0.0621351382230859 0.152569437038048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.301080976366345 0.310358354311452 0.15944722055811 0.498317098917548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.467525608033652 0.477126195821874 0.313009412820025 1.16122018825066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.561431710307207 0.55774924300678 0.966779051523356 0.81210310825177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.259552110625802 0.258845058267185 0.138339291093897 0.226862596098316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.270264807929678 0.267790773784526 0.1092059496055 0.327283121295361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.380118988095638 0.378046166971334 0.206184694852464 0.684436115527023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.37953160193045 0.369375933836399 0.438108567142859 0.364353520036818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.270927560465881 0.272441329631667 0.145368126683755 0.283371591836974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.414961778186668 0.399739314522656 0.280539350547633 0.724959310977555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.563113187454228 0.557673851286269 0.531577224710908 1.33975568898141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.307369508243281 0.299260201212039 0.27541667527335 0.242839149191361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.190965955441814 0.199199924258256 0.0743077406294561 0.169499479565031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.307165315430754 0.317313970540539 0.164335092251887 0.505917771530621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.467796227025838 0.479437081737399 0.315085503520395 1.15877682030709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0407670948183386 0.0405433447884699 0.00615469595464114 0.00634911106057344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0297564534171471 0.0292237105387476 0.00242002064860557 0.00302989209993042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0412686758922837 0.0404795799215903 0.00398933642204574 0.00600708619845738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0579983575862166 0.0590003970226496 0.00752552631490934 0.0122126077142695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0376034140475087 0.039324384018085 0.00446958868475387 0.0050260582405836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0489279949486224 0.0495978711057997 0.00758663918539798 0.00743626365040525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736454593503343 0.073839269042242 0.0146084514060571 0.0166171904957204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104554906653227 0.106075614996346 0.0285479390525342 0.0327984857443708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0264471418936294 0.0253823016622171 0.00207557970030337 0.00211743437297592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0341182772882959 0.0345021875202222 0.00280065395684927 0.00449688943900126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576365976307165 0.0595097213836503 0.00746428034794801 0.0123586073844458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0802373385816516 0.0836274176756981 0.0136152736045336 0.0235738639718402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0416882495883791 0.0414997843219197 0.00642174172733563 0.00658095522135142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0299025412166161 0.0294358407349749 0.00244741302965011 0.00306158004772902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0412440670024684 0.0405302158245565 0.00399183878035316 0.00601391269832517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0579901065756102 0.0589867182942171 0.00752471406644732 0.012206568160124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0378894813029374 0.0396579520393155 0.00452078581946686 0.00512318904017808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0489019877489597 0.0496253277182215 0.00756901949611646 0.00744840061190431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736431106092003 0.073859598326178 0.0146006736457357 0.0166225602924512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104541736927984 0.106076302171297 0.0285342472641342 0.0328027595347948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.027028638136888 0.0258809742490684 0.00215658571636571 0.00219072641969221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0340952228105076 0.0345408210320124 0.00279985683371452 0.00450135412708597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576359455834472 0.0595176178588264 0.0074638877040452 0.0123561520475351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0802369296037143 0.0836243799926342 0.0136127908584471 0.0235728039137906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0442846439910849 0.0443730035141441 0.00705451902668834 0.00721936890034721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0304068299005023 0.030051863057213 0.00252142912522772 0.0031540838268924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0412957934645529 0.0406511078919432 0.0040071592169604 0.00603717579175394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0580072034481022 0.0589900337156481 0.00752960039162814 0.012206977157631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0389475832525543 0.0407184230264948 0.0047210790723409 0.00536640189920944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.048918706732472 0.0496901657069373 0.0075642176064067 0.00747208048679866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736507195465905 0.0738846109395667 0.0145966607647146 0.016631068645997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104535443055051 0.106080428600837 0.0285233666484998 0.0328093784069201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0283156568695116 0.0271722874303846 0.00233250288278467 0.00236352701231963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0341228210838949 0.0346180825456238 0.00280548924688442 0.00451318634890562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576408187157775 0.0595278763261511 0.00746522775972376 0.0123548152816592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0802399001669243 0.0836237475907599 0.0136115991276572 0.0235724166911863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0530657320067028 0.0535857438309851 0.00941390670246475 0.00958331858120949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0324486337321667 0.0322099820298985 0.00281245950504071 0.00350571768102593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0416522194918187 0.0411018943722147 0.00407775870379164 0.00613302467689129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.058126764898489 0.0590712360246413 0.00755719583526678 0.0122307890351337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0430040008737762 0.0446489579548191 0.00556529310782604 0.00627307409376949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0490813650124272 0.0499305705044666 0.00759316632335565 0.00755388779788988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736845454567756 0.0739432217675694 0.0145984499782579 0.0166566593166711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104526697205686 0.106096104161846 0.0285070305979591 0.0328291694466064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0323564992984651 0.0313545162161896 0.0029599714850639 0.00297725871436202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0343157419591121 0.0348900145116548 0.00283544793176297 0.00455914149360309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576568467132257 0.0595606334505048 0.00747233035391964 0.0123563165872407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0802474330817796 0.0836369201511481 0.0136121981419758 0.0235752311481205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106815781491254 0.109382654378851 0.0340466622394688 0.0325704196565307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0480177635693104 0.04942437660851 0.00585081988703334 0.00711080054827333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0459740381591202 0.0456221653470111 0.00488882580834647 0.00718424503617493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0596472803923967 0.0602100956959389 0.00790037388607605 0.0126068181559088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0710849381845694 0.0731748264979174 0.014762233547495 0.0148626321115197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0518079216768609 0.0530845865222533 0.00826570230924562 0.00841546034009972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0740843280295732 0.0744532229592309 0.014739014898141 0.0168985707658428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104616974476513 0.10625915502185 0.0285301371424484 0.0329986856479974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0576030906593227 0.0568007072189033 0.00928850658245528 0.00862207579311923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0367576907315509 0.0374261140205056 0.00320386674825888 0.00503148579329123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0579057454873673 0.0598859805302073 0.00756754863471506 0.0124235349512291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0803349670862012 0.0837735133595162 0.0136582653967965 0.0236109914087486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.167715349081768 0.171689659244354 0.0848970306482441 0.0748028935569122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0689266868616162 0.0713274935004327 0.012073795186144 0.0138735849466598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0532690057970027 0.0536922233510903 0.00652808953605703 0.00929963415530929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0623311565971937 0.0627168730321899 0.00858646265156858 0.013452514580798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.107144015843862 0.108611850855422 0.0344336834189731 0.0306184490611537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.057415636043664 0.0588877053786789 0.0098276408626032 0.0100776597595915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0750427888141778 0.075510752887023 0.0151133955122807 0.0173873983413061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104837915260807 0.106648681684184 0.0286824250012114 0.0333287363609788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0877733401970078 0.0869069058189857 0.022281111914272 0.0189894296735779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0412821541908139 0.0420708300024425 0.00397811854728068 0.00596393150851315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0584927825454522 0.0606676672857076 0.00777556697862552 0.0126142209105088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0806309451962157 0.0840831894555202 0.013788444120414 0.023696020357124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0494853151244728 0.0497604338535358 0.00802425654910124 0.00839336581820001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.031793224058898 0.031050406043078 0.00264969423769048 0.00331429183316036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0415839710446795 0.040687543713162 0.00404040531377055 0.00605863187966991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0580754247101953 0.0590308536685975 0.0075362675749463 0.0122162749189053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0415394432324261 0.0431938266110808 0.00528912286569021 0.00589723644543545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0492840839747247 0.0498874731488136 0.00765930695190134 0.00754012720333437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736949836971466 0.0738285672733138 0.0146247193195267 0.016620391296867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104561370186948 0.106178171339618 0.0285510592589043 0.0328180586837685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0295154196644457 0.0296591378044357 0.00242046831612626 0.00268447801251254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0342867005112011 0.0347090518835564 0.002810373383393 0.00453246698766336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576273830393116 0.0595264047548512 0.00745674087459584 0.0123606343450657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0801400801641364 0.083640466508452 0.0135843716488282 0.0235828989132728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.068118780829032 0.0685538875262134 0.0139843948853256 0.0142233809888545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0368315275972968 0.0360026137943789 0.00341714852132922 0.0041941178167546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.042756440546205 0.041698949740952 0.00424306634968236 0.00629365113121116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.058412857608586 0.0592935730049572 0.00761016540520535 0.0122979037723766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0509664948249967 0.0520140929375337 0.00778424443847363 0.00827376364481246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0501396865275378 0.0506177478941925 0.00788002047557411 0.00777935009183987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0738146650029307 0.0739377184990921 0.0146764120690505 0.0166676596903233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104603023043045 0.106321259233808 0.028577060953675 0.0328642775162196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0372874968937167 0.0385875778137212 0.00377673779796676 0.00427535448369449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0349550644070291 0.0353539180099376 0.00289088474714615 0.0046498619627315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0576670111788907 0.0596014484708435 0.00746845245500521 0.0123789777240399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0800687604087685 0.0836795088626085 0.013565962391013 0.0236007598440798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.113391319216135 0.114054880436355 0.038591255525236 0.0360166071139718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0511410336492482 0.0503481635259764 0.00656322173080445 0.00756420120860443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0472033551733413 0.0459182841089671 0.00510219814020555 0.00731012541154508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.05979669160209 0.0604196026782569 0.00794387217534585 0.0126812927600197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0765830887900769 0.076827214104692 0.0179641471849079 0.0172801535390722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0534001287803185 0.053681865158004 0.00878701960527606 0.00870180240913376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0743192471582394 0.0745443925914528 0.0148954902207464 0.0169007791101921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.104750317601487 0.106646311357853 0.0286920868646397 0.0330166987961441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.058600411383632 0.0617170641542642 0.00976412275476454 0.0102865422532135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0374992352418682 0.0376703810073163 0.00326126590794134 0.00510691144867643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0579189416360663 0.0599118922888489 0.00755215880164697 0.0124628659905519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0799766341499888 0.0838227653908047 0.0135644665412377 0.0236610919047436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.316533209609165 0.320487515118057 0.335470400178286 0.246575234560395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.123725000746127 0.12298661093857 0.0422219732197563 0.0407444275503659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0781484124758778 0.0769871750681177 0.014655915874112 0.0177434451857675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0730685806934072 0.0721917021864817 0.0117943439053186 0.0171134714227482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.203137916394623 0.200664314299112 0.144915594586071 0.103711359643685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0783377672565928 0.0792989586105288 0.0188384378878663 0.0184293369662449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0800366062941891 0.0802299240567811 0.0174704970250411 0.0195242538972106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10683114289887 0.109070243842434 0.0301423999308806 0.0346284569058988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.159717458345212 0.169386797714474 0.0866185635130753 0.0697018484062385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0563984803210529 0.0570950228381837 0.00771702384114507 0.00985610695671526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0617913701620568 0.0632237911945808 0.00880775241944239 0.0134428242374533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0805988149480304 0.0857582693556884 0.0141144408506133 0.0243862183721214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.528304838697646 0.53557335370369 1.0048702626531 0.637222447558726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.200892539872038 0.200526428423111 0.117505889533328 0.102736147473483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.116243375144022 0.115213954284486 0.0343387504770148 0.0373063635393842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.092921108348518 0.0917707843647402 0.0195967786888187 0.0260333331380601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.34452141458745 0.338970531287374 0.457306725529529 0.27932566242886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113214461803056 0.115345195377975 0.0420622480732909 0.0389695529488943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0909455849590789 0.0913747942505912 0.0233442051915592 0.0255337391211813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111841151003454 0.113907219885011 0.033658915260617 0.0382752407933002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.270778170247253 0.288580005610205 0.277308832964203 0.191433369321491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0815983598850672 0.0836350726948102 0.0180500328105273 0.0190176465641508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0696285816107193 0.0706108577794594 0.012020600645112 0.0158057166781186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0833130541007317 0.0900774309904293 0.0159917194264059 0.0262187551745178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.071266622597381 0.0664025143265866 0.0212167809879655 0.0166340160537708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0593481418987384 0.0533836709821313 0.018153662275286 0.00872908286447474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0801781034161663 0.0704361526331779 0.0332626169153286 0.0135409671546819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100074104483888 0.0917065251868543 0.0494800960837091 0.0192121014380188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0737095130286493 0.0736054243860333 0.0253351681503872 0.0223595896329767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0945792954270617 0.0860480165136653 0.0493790221933698 0.0261659290023332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128840661452047 0.117024857111452 0.0853545873501296 0.0424458902456402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151914744762944 0.145408333850094 0.108688102071218 0.0516518610917913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0544185981092419 0.0523447309653142 0.0150443893779358 0.00834048999728851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110038180176841 0.105681766645999 0.0785970292737542 0.0389750102981773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.294571424223684 0.288988620160572 1.79859895074889 1.65287238338113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.413861807655919 0.429790849757078 3.92101623189471 6.35572867894671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0721461261995807 0.0676593553403858 0.0215550999098922 0.0169252398638178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0595812400010898 0.0537565317260095 0.0182320339266686 0.00876900570689377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0802852541630066 0.0705457037543454 0.0333035973991708 0.0135474595058705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100139981592978 0.09178546274893 0.0495052958322313 0.0192170207243408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0741749864326774 0.0742055498800198 0.0255436697810519 0.0225099901478676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0947038999719481 0.0860652071199124 0.0494573965686403 0.0261560280254302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128885615722599 0.117051233668004 0.085395436627488 0.0424540299289465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151945756924627 0.145455330681648 0.10871263188251 0.0516675495021232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.054809051648071 0.0528414601522239 0.0151615912492526 0.00838633916345653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110129939727429 0.105763014023478 0.0786776999068975 0.0389531734180078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.305120077559764 0.302508811459047 2.41662469305427 2.70957114423674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.423072650406351 0.444400764270016 4.33945147435908 7.33474645405521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0742649880557828 0.0700057617198895 0.0223049423876947 0.0175474329083018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0602066086406736 0.0544501801783013 0.0184102317251221 0.00885704146505937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0804563641700464 0.0707662769101 0.0333691840150796 0.013569509365891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100224153189872 0.0918875905317886 0.0495395562664672 0.0192278641169534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0751924060038466 0.0754109432656466 0.0259365453252605 0.0228114288368525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0948623644375263 0.0861343873629673 0.0495530487039026 0.0261589942154295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128939102064375 0.117101372880964 0.0854413927857855 0.042468680719607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151976422154898 0.145503537451684 0.108737186643782 0.0516861109843855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0557770131897202 0.0539022480573428 0.0154299170112157 0.00850960338551946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110292182635211 0.105904754766914 0.0787953869090003 0.0389401487216774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.327272318101952 0.33173159533632 4.38130480931997 6.21263738451089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.439898324043609 0.468926566792704 5.26786811879935 9.16315424972668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.080890032686436 0.0770155283800097 0.0248734110603863 0.0197103797570973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0622886790471383 0.056527787929668 0.019008589573336 0.00916602464607225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0811519651036825 0.0714352380109629 0.0336164669310466 0.0136545693994656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100471504654257 0.0922008815986111 0.0496433586969128 0.0192700980855298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0783476062380552 0.0789757830359367 0.0271837989909712 0.0237949453711721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0953110447096432 0.0863962522131847 0.0498051725896732 0.0262003829451401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129108069776764 0.117226729578783 0.0855630948229088 0.0425112660282475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.152049636020339 0.145608360650578 0.108792672406126 0.0517325426000114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0589434415806757 0.0570391731281323 0.0163489289430451 0.00896153204987986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.110811432294062 0.106328612583159 0.0791355900414981 0.0389389097041376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.661926832904207 0.540862129436798 152.898760681276 80.7545318992813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.11519571725093 0.976290523483884 478.229872840384 274.923759929355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.124923974777027 0.120331794277397 0.0487841822659527 0.0399222016195764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0758676528649094 0.0701628085857035 0.0237305877849127 0.0120879250286078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0863030484650048 0.0764423027474307 0.035570182101556 0.014521028117768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.102778037678014 0.0943042887470872 0.0506212819264386 0.0196761144398234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101512986545741 0.101161404372999 0.0379890563879962 0.0321867663230873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0988517609087252 0.0893985412603688 0.051635650982135 0.026876486727755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.130095416514996 0.118215358464041 0.0862445761838507 0.0428786396915966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.152574104962427 0.146163457184568 0.109136471657286 0.052045381456371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0789487920689185 0.0767347495514905 0.02396992199709 0.0134119678588812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114690988573792 0.109504115442873 0.0815977520247716 0.0392542437618829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.323695524439818 0.289941155041116 4.15442498862649 1.73239206763427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.546735860449165 0.607876283112934 16.5213898837814 31.2081954473911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.177821732093748 0.172866929635226 0.0935786255075371 0.0781539375771795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0933554872919733 0.0882212910537215 0.0316181020434014 0.0177398579372348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0935433678945305 0.0835194742679498 0.0386743876164882 0.0161828623687801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.106268801663161 0.0972179474221558 0.0522031387587556 0.0204334198518052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.131427223423955 0.129464432429334 0.0570423525819023 0.0474075239454724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.104556006892838 0.0947643636124039 0.054638380124096 0.0283373416057028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.131562423056825 0.119688571062685 0.0872355892529196 0.0435224993130777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.153251316367802 0.146869412441098 0.10957324754162 0.0525518869865045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.103693001914503 0.101592028468507 0.0372743424076937 0.0220682495028416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.120139732884341 0.11409630198194 0.0853505626635957 0.040059600829633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.346396792386305 0.373914456466751 7.24126740592048 14.791766677235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.605233699424852 0.6852112302835 26.4434887174524 61.4144047355621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0768256212924103 0.0738903290519672 0.0235887103280625 0.0190101732562452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0610248273826856 0.0556202750735303 0.0186116747661751 0.00909403632069466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0804913854999212 0.0711287811935066 0.0333371752527704 0.0136572924376254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100121751893641 0.0918641997835702 0.0494586250801645 0.0192637713509406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0761548184493978 0.0769764016358296 0.0261052325658773 0.0230385193585838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0947675023679673 0.0866420647678227 0.0493269919506876 0.0263807173673273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.128706327594794 0.117210778338763 0.0851205708501136 0.0426037743875195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151787616383707 0.145706286488526 0.108531831200273 0.0518790110474464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0569723624166726 0.0551870622229375 0.0157476551724032 0.0086172376315439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.11047068035968 0.105952404364654 0.0790469058395289 0.0388510026004606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.28796386543691 0.276300692899866 1.56793770766281 0.92964440756001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.423490083648319 0.440630444759789 4.74290444168976 8.15919302917202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0903677853262435 0.0893864281412257 0.0297074598678353 0.0251521354137419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0652488114662439 0.0605178106342245 0.0198681157259004 0.0100108534763267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.081689654513609 0.0727211938516396 0.0337329175006165 0.0139423504878863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.100461367626423 0.0924082526630509 0.0495694875850522 0.0193952274465396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0824914588917569 0.0844924408796955 0.0284699563036728 0.0251796505160711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0953659505278287 0.0877532106625613 0.0494660649744357 0.0267562550617804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.12863470572194 0.117504847789649 0.0849281432665818 0.0428237528120243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151683148831951 0.146023019271044 0.108389331990598 0.0521450568559456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0633361179538258 0.0616166436993818 0.01776067453526 0.00975971940152031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.111468443592217 0.106838960618571 0.0798031846552868 0.0388300436490775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.291685423160629 0.275743957168959 1.87216106822331 0.916927794062367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.445605240230145 0.465082243376809 6.34849193084582 11.2915491635079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.1258719565931 0.128424681794403 0.0518867067812167 0.0477088392236439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0767441462773586 0.0732985959016119 0.0240694804633719 0.013340766608792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.085785723491344 0.0778687005795453 0.0352574315803483 0.0150051533882128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101868813047861 0.0943733374623453 0.0501409224584354 0.0198842219943473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.101328751358787 0.104262415587136 0.037262634268713 0.0331488929608259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0978555681093338 0.0914902888289827 0.0503391241019513 0.027998693492726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.12892742600465 0.118453534819959 0.0847662584529397 0.0434550670982781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.151587247691855 0.146697606161233 0.108169502498149 0.0527905855365732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0812630136894133 0.0797077925399121 0.0250442087011131 0.0145929502691938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.114752722781997 0.109865652418738 0.0820913755162177 0.0390735479268352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.32436214154069 0.294860296531271 4.51305580626671 1.90401338965228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.671592830473498 0.673562880565331 50.1223733926907 47.9923647297309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.303656234127599 0.322094695599512 0.2826051716818 0.271150121426775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137600515019815 0.138821748179393 0.0608587486711619 0.0468264512085123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.111368537156119 0.10658271660747 0.0480738106466226 0.0252880518984642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.113574905209962 0.108399694186614 0.0559808117390753 0.0247074752699641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.204291406009309 0.205896825778214 0.124494782092296 0.112241493979394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.117864409628545 0.116386686749182 0.0600302067247332 0.0390339570586574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.132726434379897 0.125923634144319 0.0858936439089896 0.0483648809266084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.152285739769629 0.150124657338722 0.108046888736308 0.0568220863155347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.173610325843454 0.172378640731771 0.0967262725885228 0.0678294875732442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.134397970159968 0.128438080157314 0.0979499352978774 0.0435117347457308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.277823361876666 0.303078667252108 1.10245609722466 1.73380737909658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.870665218589097 0.806415769766298 126.062243479904 87.8529826551568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.499302550265934 0.519576744882538 0.775310894203132 0.667476180491687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.206484012042527 0.211871265395167 0.128994075373765 0.112578037964085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143404662787515 0.140542731273915 0.0702378567971365 0.0453681266210111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129784572803652 0.126027291471775 0.0662337037592298 0.0339853540091227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.322081481231753 0.325112530264762 0.309308747828136 0.26852527827285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.145397910848189 0.147799321628811 0.0785889183708484 0.0600763407397324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.141417510621726 0.137630400043693 0.0905757746146995 0.0569490567398643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.155435930573049 0.155282689740304 0.10997613548208 0.0630604905228117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.27637049465538 0.276121146823972 0.245478041642798 0.175274162722569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.159403936678021 0.152906686938308 0.125000380767762 0.054080940841108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.264059089481298 0.270321821778013 0.633776944722197 0.471233651600706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.474468749658825 0.531226959411702 9.90297875498068 16.540069145828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.273723798011457 0.358704078328026 0.412439212132199 0.613649460459377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.298720918955615 0.346957085569776 0.384743671544126 0.494311982086491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357038761648675 0.390283017752406 0.519490047880553 0.903281600881487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.513452823566571 0.49939547838459 0.855230177132886 1.80450384261189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.324690543930505 0.388161682421136 0.542665657755215 0.521817708043996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.415601058816294 0.430191903573051 0.700364281419095 0.862616683382759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.58239813433819 0.56510630919 1.14470807557656 2.08487248808569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.765920681414896 0.741142980455508 1.53984918257648 3.62735772276388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.687393529315759 0.674325189231445 16.5388312134869 13.705699566553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.34544324758524 3.65019399315218 708.19178900079 3517.03620707557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.94697094507906 1.85422824104355 1309.56378034531 1037.5620545072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.96472542371948 1.10099315103416 11.5199263637788 92.7158648149997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.273875220987533 0.358723056293004 0.412252440268009 0.612916497775169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.298832947447801 0.346937627044308 0.384709596268614 0.494024829833375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357130901875374 0.390292076746414 0.51939401698275 0.90312998180654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.51346545906047 0.499397666940645 0.855224729446846 1.80445857907508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.324707831341051 0.38814815426716 0.542752440712073 0.52163749701491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.415735225725636 0.430202664175359 0.700293410860334 0.862833009951835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.582466560777271 0.565116952494332 1.14458520315302 2.08521590199079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.765995037030014 0.741165227040031 1.54007932358616 3.62796889901602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.693382872302953 0.680224316049059 17.4542776005876 14.6580542654712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.87522254327283 5.10005457654841 1824.22731973523 21773.9980322809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.3092040281197 1.603566957897 130.005696319497 509.610794293712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.991003150453727 0.959695516552119 17.1394453645996 17.4763767453502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.27444234665532 0.359324200314948 0.412716800088443 0.612968514792942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.298993043782499 0.347075715599977 0.384753593564352 0.494073711391658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357157660590137 0.390428155544926 0.519189135957151 0.903493587710208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.513569762341635 0.499543007715863 0.855366243386487 1.80530012631935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.324876919384475 0.388340368223475 0.543155197765103 0.521851108349197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.415787609685834 0.430316010651109 0.700030775345349 0.863470916350435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.582466318075359 0.565289377798256 1.14419352418185 2.08650641117532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.76626230048765 0.741343750183574 1.54068843191064 3.62998976856351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.702055708844829 0.689056903085847 18.947207738156 16.2926268615675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.59779871707472 3.07267297142018 7005.39735855187 1053.73138342561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.21068654006071 1.60883932233 74.7907783145021 381.259472439534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.985444906986692 0.988641240755619 14.9192632276243 27.0792598028025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.277393803437338 0.361709508233597 0.416257091980857 0.614424810886614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.299600323735967 0.347426983277535 0.38540543240215 0.494414217797645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357462206594938 0.390595194252974 0.519410856680312 0.904188347983798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.513700583797838 0.499697080924481 0.8556862278104 1.80657895660139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.325968865426142 0.389057293234113 0.545237058258762 0.522704491551253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.416135785974165 0.430438752936954 0.700249273421769 0.86455716082056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.582672570322625 0.565380598460726 1.14415211485536 2.08811179676614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.766465447150748 0.741478250294911 1.54137032707514 3.63258621460904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.735168252299821 0.723866481857868 27.2991515047916 25.8238063647376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.41017599548081 3.20284325504772 3559.40008790597 1738.77990317912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.12191231245584 1.45245057714967 39.332122735706 219.598930784153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.29621679208673 1.10484183799859 210.682741818047 77.0489602872759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.303466634404313 0.387623172618929 0.455488916016496 0.644333112758624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.304077050482532 0.351451110963886 0.392197343840059 0.502708060563902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.360209651541295 0.392072267265121 0.524298251834141 0.914358264786597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.51535741869417 0.501308760725547 0.860538916130805 1.8220547289547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.337363213535001 0.398766235164918 0.56870709846912 0.536644120669408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.418215420671899 0.431236727429455 0.704219491012839 0.873312720945677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.584090613376339 0.566201697957623 1.1466695222944 2.10127427870449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.767971884875949 0.742431855243934 1.54710526047361 3.65229509724993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.856871682815296 0.874174169327475 74.3219370564692 119.933493347148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.11926760831555 2.39681428855947 512.228389790719 411.484198005024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.33757452930778 1.18247978902288 113.809088219163 43.8027778148723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.09319278411033 0.967868419837756 47.2936498395813 25.6001699928033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.345047407409567 0.429125234382801 0.529915878258047 0.728807818422124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.312658416623462 0.360090660792903 0.40813581798013 0.523484404085309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.365080414072343 0.395749697568303 0.535489459435332 0.935615481600705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.518626073148166 0.504390410868757 0.870544223925214 1.84983142442386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.357710972219277 0.41830880185714 0.635120774499957 0.577223162555907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.421776530481328 0.433798935393551 0.713179766844742 0.889393556337793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.5863996323676 0.568211101314171 1.15173864382397 2.12460907088525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.770353688556731 0.74454806325825 1.55503872297566 3.68506714070866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.926806948578456 0.827250430556302 97.5680203769671 59.3500877300684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.6756199122342 2.41149644712874 156.809187366611 699.268981397429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 20.5895633227006 75.8185848511289 1353244.55799927 19873579.4986635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.17470551097526 15.8568092324426 84.4901193468689 785454.078910589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.277880101675604 0.361432846738348 0.419623159343566 0.615120266991424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.299351705314521 0.346776361476031 0.386678108389902 0.492808674850265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.356958467993618 0.389934582726779 0.519862680421304 0.900905585397044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.513260740299507 0.49899212526053 0.855414294628064 1.80163339757206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.32590095712566 0.389248097626475 0.544206548574257 0.522698959552052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.415747153178408 0.429783731998336 0.698864243692834 0.8581744755537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.582073783638927 0.564820151479257 1.14372458642675 2.07970030518178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.765653716211348 0.740862899420089 1.53980400687145 3.62263971000821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.685071194127649 0.675839060775252 16.2022609913017 14.472808015899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.54455470315741 2.5661071120997 968.557540459662 658.787423955354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.45582752274265 1.42410675576286 421.326524086739 304.173835101336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.953084326377942 0.994605652800794 11.095570687271 28.2294368393091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.286776931841147 0.368911073321546 0.436290286167933 0.622484386269769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.300887229248504 0.347501967567624 0.391380150264673 0.493128496466764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.357344371845934 0.389951986557227 0.522564788257817 0.900522102824806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.513704203510299 0.499091051836866 0.858205503436529 1.80187601009422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.329814747986301 0.39248963496525 0.552473057642313 0.526305388894888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.416260632996177 0.429643227033657 0.699238088198598 0.855338808095301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.582231850397307 0.564954548274447 1.14456707999926 2.07756803379814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.76615898439433 0.741141159971773 1.54255556989523 3.62293168201802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.689843494549144 0.68592035925551 16.930235755997 17.2583580265328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.08984848072659 3.05396709973692 409.091671850729 1804.12758624306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.31815154960022 1.3977509498667 232.301469230435 179.349684254557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.15901735873138 1.28844460778937 166.213666966367 365.423370187021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.314475533038142 0.393940377565707 0.50003999994315 0.652659776889315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.307098918535415 0.351426612616055 0.412048202960357 0.498243658195961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.359986505680018 0.391017997414032 0.539654822182533 0.903717402355069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.515961977392309 0.50035124958207 0.877005176404427 1.80716110778238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.342544892938236 0.403136057278058 0.596836269985534 0.540295858940924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.418344350330029 0.430374830464059 0.707510739139019 0.853128929382478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.583637012956426 0.56588383632988 1.15529551194768 2.07672328407665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.768332501120461 0.742268203556014 1.56087931131028 3.62804168178689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.755797696533756 0.78627769720051 43.47361072699 78.6523947691449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 2.82084351491962 2.61712371024003 4422.78773340854 903.47536079871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.10200617146926 1.21461292761262 39.4547974307574 84.843104126291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.14924207314496 0.989760905956503 52.7462379886714 16.3126040798269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.504427004744516 0.546423856070363 2.17700659829838 0.951961885607063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.357027918961769 0.386202205358472 0.709321167175557 0.56520118835247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.382352195996011 0.40475184393927 0.678063882583672 0.963844150168671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.527594516139214 0.510883461688475 0.976320697439036 1.87582970862754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.42852908249096 0.484292199364116 1.02864008352485 0.829519805003999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.435797198651473 0.442080499481352 0.812579473270898 0.890283453684808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.591749439023956 0.574059813987263 1.23264498284829 2.12225991672341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.77510321206841 0.748108948828603 1.62937484013257 3.68742777219622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.930939114097723 1.01204975595161 62.7772133434732 106.131622255562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.96150073849304 3.39962710629613 10351.8929769488 2262.41897893926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.22582753423533 1.13822563671693 231.611772813971 55.4881481595984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.22758286679299 1.28286273445826 97.3033493068205 165.086725429313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.678491182100697 0.726741354174777 1.80507257300976 1.45333661440539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.405733254209291 0.437164225776166 0.766388692897981 0.70643888699935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.409199478059785 0.428438876491525 0.788241477424872 1.08940769408234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.541752620254162 0.526998248360323 1.06420232434671 2.0037076102507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.536004841450766 0.584929131820769 1.29322137240566 0.982632278307947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.461160260067341 0.464289644429173 0.937993002116545 1.00277246456354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.601645520710158 0.586618381383971 1.30313592960086 2.23198086377965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.781729706349289 0.755822279604791 1.66894328811105 3.77992272809091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.04119208832448 1.11741965577112 69.9338479662903 123.679928935421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.77935600015542 2.16161388268632 177.066565035401 433.053786951275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25512015295844 1.1219553658925 220.689160301067 32.572208022764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.25902619213199 2.03846516039059 149.306267548002 2597.19084298774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0160408569974661 0.0155048851738 0.00100798209763938 0.00106817639411566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00981185020825713 0.00920140394082678 0.000202089970674569 0.000301553102555341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0104162370679841 0.0101871649897485 0.000155996149085007 0.00041216417615836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0135668217570227 0.0134031014921489 0.000240073820235517 0.000749847274288838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0146021651429867 0.0139363674035951 0.000716452096400075 0.000638748632951602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0134071739244578 0.0122833021567997 0.000397930602612206 0.000488948148080867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0170028504347263 0.01639485392278 0.000539045293310129 0.000955283168115429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0226525402010726 0.0213977502815442 0.000955112476993083 0.00163079297134206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.00934967941601213 0.00906318572813089 0.000224015966100801 0.000274440264348251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00815020482372491 0.00801850804960001 8.52138096698381E-05 0.000286632953632249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149960786678505 0.0144677631169693 0.000252756234464073 0.000946544012158959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0223032340677941 0.0215162266604871 0.00053345422974929 0.00205444948734357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0178713511974477 0.0186791544449856 0.00112607266695726 0.00140120545147923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.010210931643757 0.0098883983470256 0.000217880488527448 0.000344858125800067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0104992047925153 0.0104091326978931 0.000159696241807596 0.000426750232277465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0135917132178674 0.0134814815485446 0.000241056042015782 0.000756857074904802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0153160770317273 0.0147323276521445 0.000769130977095579 0.000712662795816594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0133742142685162 0.0123327684772611 0.000398882415701775 0.000493158551383043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169728596066434 0.0163915644848001 0.000538765543698963 0.000954228248111559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.022637249398599 0.0213732533212599 0.000954305434068128 0.00162786143129762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0105206610660152 0.0101778545440688 0.000278548623042438 0.000333274111536805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00821226502495452 0.00814295563922864 8.70359414011284E-05 0.000291774236557509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149624352608182 0.0144707634779969 0.00025272706960324 0.000946379924518247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0223133826268577 0.0215300573453037 0.00053444295108826 0.00205703915136268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0226518873712639 0.0247353832620799 0.00163114228753149 0.00211857591789144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.011426588080366 0.0115539191874627 0.000283117368502716 0.00044905688592503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0109317933261927 0.0109788919455327 0.000176936723302254 0.00046262436095104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0137306310572297 0.013686475285355 0.000247315689999412 0.000773511119254923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0176035258191305 0.017269075012093 0.000993506725823588 0.000938954350081989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0135514771692106 0.0125231543261383 0.000415279748382621 0.000511088909938212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0169806710782816 0.0164051516409824 0.00054191507018762 0.000956363984360267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0226290348207973 0.0213590036952289 0.000954884359507086 0.0016265464960859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0132860026977123 0.012917378574011 0.000442588781665303 0.000501339616977528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00848658136013266 0.00845274832700506 9.41361880682485E-05 0.000306258172770385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149414375097553 0.0145088545966421 0.00025383117076807 0.000948923094489709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0223257263257957 0.0215484627960602 0.000535847846475647 0.00206018365688371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0358650158653539 0.039164069042174 0.00386115949357309 0.00455771395921966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0157931201886803 0.0163693844045699 0.000578766481386465 0.000823101679305014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0126426354043183 0.0127675047606729 0.000254155769315594 0.000587949518800916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0143666263173331 0.0144010504232973 0.000276395615919697 0.000832721224667752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.02496303327949 0.0248663549251024 0.00196944682849268 0.00181468685987261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0144076173269626 0.0135880767430037 0.000492827575649871 0.00059725834867962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.017125012156825 0.0165109269538568 0.000558889373864548 0.000971502280071861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0226469111027034 0.0213615664818615 0.000960532547570687 0.00162876102521124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0207017542518368 0.0201695962779741 0.00111435938230071 0.00112826417111647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00947867201386015 0.00952475033180117 0.000124981052338556 0.000361147775012694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149701064152067 0.0146411403959214 0.000259650236012159 0.000959447079609751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.022352100068955 0.0216026495541103 0.000539861558272723 0.00206843240997968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0989069778711602 0.102867877613443 0.0308961891861318 0.0256899150099867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0398206310612347 0.0406555071945653 0.00414791527017025 0.00431438815145649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0234922487214199 0.0240841392465926 0.0011749180633391 0.00173255684411605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0194864334284503 0.0196514602743896 0.000622309848925782 0.00135814736992519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0645805092464679 0.063997219899373 0.013461713548709 0.0104963987734968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0228592126918887 0.0225845794158091 0.00145358288013497 0.00153214406237572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0190797776138082 0.0185559751541781 0.000767241714004694 0.00120586554712108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0231641468417817 0.0219286854945216 0.00104280650104002 0.00171053859043386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0552637827253412 0.0533678560394974 0.0088592959890301 0.00688373733998229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0159418604090811 0.0163345002190785 0.000502811539511323 0.000848100661552821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0160857289299118 0.0160896553267831 0.000335600231025964 0.00108108239094676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0225994988297333 0.0219348122533225 0.00057324557284203 0.00211743587274861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.164323117490474 0.167826246093137 0.0896733946721463 0.0622451422017931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0652957588109292 0.0662214517652693 0.0117159339074747 0.0107559591910199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0366374937967866 0.0373510273906395 0.00318098568587496 0.00381067487264305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0265529366940594 0.0270445516635687 0.00136863791793317 0.00231490159044311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.106935758421951 0.10546829304117 0.0380003775731718 0.0266424822397361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0344490846813476 0.0340159674168318 0.00351645510195959 0.00331369759514944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0227412663401958 0.0225540670119355 0.00121352145435842 0.00170256944348528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0245605855789799 0.023337091273867 0.00122921980418753 0.00190745123167171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0911201955192296 0.0873492109174588 0.0256176249450013 0.0168757124548861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0240734781745242 0.0247454960811196 0.00136020251305766 0.00171855408684032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0183347039207882 0.0185945992193296 0.000507008038551703 0.00131802567641962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0229939069642044 0.0225277451968841 0.000634199660290179 0.00219911047734128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0321640959382769 0.0324616617107204 0.00318332738464673 0.00340752508509651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0145152657735266 0.0139735834865247 0.000494023760967006 0.00064019926149474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0121981584660367 0.0119702093964694 0.000232712712654701 0.000530616669723409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0141643566591598 0.0142119051137519 0.000267918316446465 0.000811012633125251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0232239711197266 0.0223365372313873 0.00174715443569068 0.00149484516780851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0143344116814566 0.0133092585226034 0.000484062794790772 0.000577176242146081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0171454164660967 0.0166240974852808 0.0005570478534737 0.000981841076904917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0227267849603485 0.0214903225852023 0.000959936326220666 0.00164037679464024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0181216230483846 0.0171386778702 0.000941076190222058 0.000877882198537047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00927009159712743 0.0089830849621502 0.000113591735738359 0.000332817507127614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0151843441135984 0.0146864129639966 0.000258907402345806 0.00096236848148142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0223139761926735 0.0214832401731788 0.000534274347101823 0.00204572774684733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0560076931549888 0.056552228393448 0.00952885700441911 0.0095909072374662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0228258346885409 0.0224776378736057 0.0013316740584319 0.00158832616578209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.015771729757224 0.0155645924024854 0.000454137314556629 0.000843497928282222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0157347404520472 0.0158353428803257 0.000352798028854171 0.000959544270742705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0380410019558841 0.0366189914202315 0.00469863970145046 0.00384687576188195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0168687447704921 0.0158700469824567 0.000740265549591309 0.000828039406744994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0176176866553407 0.0173832291080433 0.000613046395506445 0.00105893892673507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0228978784211734 0.021834318637393 0.000981758916749929 0.00167616052084534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0314684051828758 0.0293951537607376 0.00308295561570254 0.00239576814809117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0115225461767447 0.0110678583969141 0.000202871257317301 0.000457727682581609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0156215054716019 0.0151519866398231 0.000278981028985583 0.00100030724175135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0223885243200158 0.0214916180664947 0.000540304861578233 0.00204249798020586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.107044075648002 0.108016818772963 0.0367175395510088 0.0320039488110904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0418734314111878 0.0420994347805301 0.00482793301011436 0.00519802068550581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0246368906841726 0.0247891478586638 0.00136303212995629 0.00199852872212265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.020341842824461 0.020369375855513 0.000702614056867365 0.00148411285038641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0699924042105228 0.0691790470148341 0.0165106712602747 0.012931886438112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0242842770796288 0.0236267888344456 0.00171679478650879 0.00182657005594498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0199288684364864 0.019712151404061 0.000853199032271525 0.0013363979765544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0237992733340745 0.0229576305844283 0.00108277696744457 0.00180784095798509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0606364963227337 0.0558749044505408 0.0123831564620692 0.0080227941576579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0173677621062628 0.0167126009453482 0.000593380426879583 0.000911010128223423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0171301357121428 0.0166019355614887 0.000363713754828064 0.00113162627097132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0226699198905888 0.0216144195762838 0.000567805297731302 0.00205000627630658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.3137044950899 0.320128714474347 0.37373413968504 0.240679619496588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122300453267604 0.122606023685477 0.0465404962921599 0.0390596399040405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0668398247000921 0.0676847582812501 0.0123257383263432 0.0130011174693253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0450541710499836 0.0457097718815652 0.00483451140739225 0.00645856227745732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.205257338974212 0.207810913873341 0.163259430876809 0.104723497108662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0630119591172525 0.0622542857570852 0.0136992117640967 0.0120009776260443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0348378024172154 0.0353688201068342 0.00359379791449451 0.00418223984975673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0307992530032018 0.0305398227499659 0.00217347111602098 0.00308373101009431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.182071479739841 0.167559890395599 0.128885624755114 0.0638180971164598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0456411639739745 0.0442798661629464 0.00560501661741313 0.00518076108000942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272881028868869 0.026379437100115 0.0014387158788879 0.0023608850506325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0258815702378858 0.0238163905266593 0.000912990794998875 0.00232167880462386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.530286299043172 0.538909501434608 1.1451461593806 0.642996402224497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.201758210537381 0.203604012498937 0.137474528949226 0.10100685834987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.110534994469639 0.110913106889289 0.0362028757302254 0.0326422116252357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0725276924205367 0.0732881197593842 0.0138747850350607 0.0154187994172123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.354010268644471 0.355234767698505 0.555592749442484 0.302347849353774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.105903149967306 0.104720753197654 0.0449334754923623 0.0334397539422749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0542824402422402 0.0553173567850866 0.0107496391420189 0.0104216323637861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0408477042501473 0.0420735554793524 0.00452589103265592 0.0061562639729925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.310442614607497 0.290684998155182 0.405990298583392 0.183958393414828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0763910814975798 0.0739123460603636 0.0174657558043068 0.0130471546361252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0408290938492994 0.0390247346517126 0.00423195722257806 0.00469227274749141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0325078566235843 0.0285067570190875 0.00199448623803983 0.00301520049067282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.289199211089585 0.255158128574806 0.466928450882707 0.282263446429157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.259596653936798 0.244885099479714 0.412125467726924 0.335926150015611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.33411113967687 0.328798769689007 0.613412794246927 0.831204695486195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.480035860814295 0.470585722282176 0.919816063208859 1.62899038643944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.305687745920656 0.288891054856774 0.524437372275552 0.353336781532439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.382619380352864 0.370517331028207 0.714804753886079 0.813396469492222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538505060731337 0.540275599493536 1.07708830309532 1.92337261742529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712291647990131 0.705632289749187 1.45010807629532 3.0899939468616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.464496920361386 0.540735753799037 13.5693500597124 33.0946772661466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.874919863598562 0.808752516427154 41.214250079551 30.9939572401657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.920624570337468 0.883497334431546 18.2891487572481 18.3693894578208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.691508969469672 0.720203293118488 1.98345226331613 4.10428661929609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.289156974512826 0.255154846652872 0.46696759970979 0.282807916573296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.25965940528734 0.244959514193739 0.412058834216595 0.336154982539365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.33405279706411 0.328721543491691 0.61312838620029 0.830905981220437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.480011648670069 0.470561417914901 0.919499585864582 1.62854092690824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.305836948358248 0.28860256842755 0.524367020185637 0.353012081612689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.382540844124534 0.370403299979439 0.714477218873703 0.813043020128379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538527802170937 0.540168488520314 1.07667289517847 1.92265250095521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712302366186401 0.705595190696122 1.45001611892601 3.08966789301681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.471723283304155 0.554300471188882 15.7295983836344 39.4939916702207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.906392738418635 0.800558485316567 57.6637880844478 26.0409395016194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.934446173147549 0.903950951317611 20.2014435851102 21.6002541431511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.690832558084403 0.719858221081428 1.95276347944759 4.03339594405127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.289654480066097 0.25556544042521 0.467637409982945 0.283740570455175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.259812842455294 0.245085527483586 0.412075424305916 0.336463921146348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334013463389595 0.328663228097683 0.612866822435352 0.83065857098119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.480006781377219 0.470546719864409 0.919197377208056 1.62812977279897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.306202590049308 0.28849460444063 0.52458905343638 0.352866876996219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.382471677397194 0.370314199831079 0.714173397049201 0.812742422969224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538557288713266 0.540069070986724 1.07626831592845 1.92195710344959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712315179432363 0.705560030331583 1.44993385683043 3.08935378563385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.481361396895367 0.571659506058588 18.8921073724949 48.7179257109121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.04569765007076 0.832837216311599 183.089279904386 35.1551489361442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.972591350924517 0.915571222633273 32.3055465601567 25.4481255096455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.69108380444542 0.720347613608617 1.95132159084631 4.0092770964146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.292206702948656 0.25796938658803 0.470839843478816 0.286903406673831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.260402308244419 0.245550296139731 0.412362848275551 0.337355280873667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334006024008146 0.328599786080544 0.612414119349178 0.830314458341686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.48001906620268 0.470543658823772 0.91863406733697 1.62741862833246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307455815525727 0.288718225191723 0.525820157413917 0.353073918212977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.382373149780771 0.370176491245719 0.713642700875318 0.812265968292209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538630601542653 0.539882284112956 1.07549067702578 1.92061950816003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712345660444416 0.705492377687161 1.44979798174506 3.0887530695214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.512290980426022 0.625340204605004 31.5206293776639 85.0545933486532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.845490009278895 0.928703218439006 33.0213627870936 101.856262332708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.896605251614433 0.853004197811003 15.761852673514 14.1161632534553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.693629524246166 0.723927787543894 1.99804547532049 4.09602898043662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.317785216265839 0.281839473588597 0.505685554572013 0.314791365445031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.266370372291407 0.250554608027647 0.416851674574726 0.344790741212618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334714487869159 0.329383380532444 0.611510176258141 0.831361558912262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.480407186673574 0.47080222542408 0.916928314391801 1.6259419520528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.317681394069303 0.295261681270634 0.540184729779139 0.360508531544897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.382599985535818 0.370285560727454 0.712606721978734 0.812210559378014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.539029224086285 0.539448419998346 1.07278998314727 1.91630122332222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712605523604301 0.705264846141667 1.44963972506612 3.08673539507591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.847892163475931 0.71434386566388 422.04234560893 153.782302953028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.762732371130675 0.817935309852951 17.5756193585642 32.9937743533687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25757508363364 1.30071969186358 146.098171185031 196.261618097558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.771713604712336 0.854606048943926 6.06894035813911 19.9893005441586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.357694971718547 0.321066047229703 0.57057416153888 0.368191388248172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.27626479009929 0.260307867318507 0.425820898169548 0.358636479429238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.336715485224698 0.331436138185815 0.611950332514744 0.835062550693507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.481343811283549 0.471713251054884 0.916016389172101 1.6276767525789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.334842585737802 0.311385882472176 0.569728429659479 0.382819301302743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.383970563949635 0.37166584283188 0.713399138348829 0.816088292157439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.539714869352977 0.539843795781231 1.07070904567666 1.91703681369065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.713151901126219 0.706412795537905 1.45000785924847 3.095003308688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.545981736439506 0.560876105919247 30.4561947956771 21.4892213975325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 3.21724462952628 4.27417304774675 12669.1815420113 27336.3924676506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.918472776670423 1.05448309496268 22.4703730758876 90.1244314509719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.15702193854109 1.01995127947577 304.071469482204 86.109890661715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.292886682844095 0.257177773140257 0.475880837941276 0.285053122506193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.260482695590916 0.245025799539381 0.415385715692352 0.336385615979003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334192539016186 0.328851829722694 0.615195285685605 0.831593846633477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.480099096711501 0.470739218718857 0.92105707247429 1.62975320188279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.307318508183839 0.289940466938966 0.528171487393547 0.355419052899213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.383141825507099 0.370532130209055 0.717532694550617 0.813705051809562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538600742907366 0.540247212713555 1.07857050000309 1.9229205502464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712360124554001 0.705633462224398 1.45077605564222 3.08978084142251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.501833245881251 0.605390017742173 26.0329763075068 67.584356670036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.85850936744943 0.863176031773785 36.9152136589126 56.3533857587428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.00540860938833 1.00149162748388 44.9239522567508 57.4962611882184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.698651191754129 0.720958393196812 2.26503858503275 4.2021017782554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.300954088879149 0.264994143696957 0.492131083612016 0.29465451219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.262430574310487 0.246215917617991 0.419759474109387 0.337936383503296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.334454085143528 0.329321476360153 0.617155083391298 0.832856154362852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.480216487117088 0.471571077539925 0.922232047242164 1.63345931939254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.310967601126011 0.29356497180375 0.535885344524214 0.362577090737103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.383732635295251 0.371264640439878 0.720603536937173 0.816122195689494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.538732773272952 0.541205781366815 1.07997298489942 1.92834518002704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712332805106265 0.706833888169692 1.45114273516355 3.09868264482123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.629181613182891 0.812982243056902 108.897634383763 288.353535466161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.54053958255152 1.09136278349755 1254.01707791818 276.586353739577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.00631829025765 0.932653944805179 35.3335168178417 25.4315434434044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.738345668275169 0.717130772242441 5.22504929035569 3.99707377474808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.326955876835324 0.289665034948459 0.546610944835582 0.32155454044411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.268886910249251 0.250479644809164 0.431753974418934 0.343605300272866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.336378117455923 0.330609110860915 0.623168147230525 0.836505499333894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.481359364729367 0.472348913034529 0.926735022560719 1.63710462927543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.321627446230889 0.303191410976515 0.558396291400945 0.376064579751624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.385740651819697 0.372215158911217 0.730091484385321 0.819130568677355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.539396281369991 0.541224440863839 1.08524302407495 1.92839630582284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712850860173822 0.707013014751613 1.45429295987741 3.09956382082789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.683689253129106 0.657605456847747 133.607877076281 76.9067192673465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.909297872119541 0.863342675072289 69.5571006117634 73.5556752447375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.12759933306194 1.21421826193879 113.513614904641 126.201176376455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.684554137129702 0.723446567882997 1.93773914482634 4.42770862676282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.493940612602064 0.465766111439738 1.49946705551267 1.23181487736058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.318747930438232 0.300113293264168 0.603794374398774 0.646572760999867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.351598660565922 0.349775945310987 0.667983387899462 0.967580396985794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.487255551366763 0.48191212964363 0.952557614554426 1.69279789058523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.398250533060613 0.434469548791251 0.727863999085078 5.16385444691375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.395648115315613 0.394063000954862 0.77151218012058 1.10025318353053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.541277926136269 0.550863553176249 1.1063731623924 2.03577667887831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.712963503257382 0.711769236321144 1.46517671733167 3.13045060007624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.822144311338647 0.965755387740131 136.29043222336 212.005517885432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.14448264452057 1.21361022512865 271.641857212192 365.538965111516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.38059666706986 1.58048127567307 3136.60272363542 760.54501529263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.746701495107478 0.76636674364657 7.59127183597007 11.0487096874165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.681995596378096 0.645252325757344 2.50484018525167 1.29096704585149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.383029401919875 0.344891785824644 1.0228349394367 0.506648616022209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.379601638739346 0.364250439550976 0.821943533947294 0.931469635503691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.500179162249091 0.488123899636191 1.02288505181879 1.70671650661516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.550968469990276 0.476816904390605 3.88171872455602 0.717992542263424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.423928575710327 0.396836292042178 1.02122505165768 0.893610773434151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.548037024774345 0.545831678586658 1.15682871968517 1.94769077753126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.71388379990397 0.708461326284477 1.48454039916622 3.10762821294486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.733226547234383 0.691601907887415 22.3793597885797 13.92138513068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.796982483500616 0.830313416125479 22.3208841824171 29.8242866012584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.25102867163099 1.38096834625922 93.9292435293091 186.861164426422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.71865964938784 0.710830220766521 2.99322131304271 3.8299846803336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.261419660767027 0.251599243316171 0.278394933140847 0.185647281068313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247210281778584 0.24693951590966 0.251712194708582 0.158126156187461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309638641530317 0.312211388483084 0.313034358198496 0.344914412085112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.416781805270677 0.422717005064686 0.447452129511747 0.849737387120633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.281980358033382 0.284912816888169 0.328888980530674 0.202794510069638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375455651130879 0.376359323133409 0.489080771766499 0.425520202755028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.517276463407729 0.534331863051819 0.74608388052264 1.14960879223132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655718902173799 0.685033654435901 1.06643643791584 2.19226603518644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.281761018491827 0.273846356812287 0.469334331053617 0.222019489948694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.98607527640185 1.18699913765526 1989.57969269542 153.733493263842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.75824092314245 1.75874400750053 987.21573441316 66.5771238008979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.47929133604826 1.56657320622325 48.2826188958926 61.7334502795459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.261359582863875 0.251888675037249 0.278286280513513 0.18619688682279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247217733121002 0.247052139741555 0.251709536299572 0.158257060774185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309631070338458 0.312277683245366 0.312954223902954 0.345071360859666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.416788278266635 0.422786322428508 0.447361977833176 0.849995559431992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.281963515523272 0.285083361817659 0.328858793914816 0.202970840327427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375472184330915 0.376282340069198 0.489091784029274 0.425427965093822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.517356809765702 0.534276498697904 0.746068756941023 1.14961151643522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655779947852468 0.685060141503238 1.06648573705575 2.19238865582853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.281731354441685 0.273836827737275 0.469577128835448 0.222304138083702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.61185391451585 1.07049607568101 812.051732037251 68.3628537613054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.42785624957147 2.17572200071838 548.014676966165 548.87564864355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.3029541712368 1.52993667523269 1143.98137553331 59.8279973484349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.261671919798486 0.252683990303976 0.278666413146646 0.187228933663338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.24727823142732 0.247245858747102 0.251777252894233 0.158465162595492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309653141792193 0.312350194541585 0.312905547447628 0.345264239257149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.416800587514933 0.422889183969049 0.447283852284381 0.850327753365388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.282169312248121 0.285412530359144 0.329108564499392 0.20334071654627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375497297184712 0.376212817191565 0.489122739614559 0.425372172913183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.517442320435032 0.534240058918181 0.74606639306788 1.14966492331055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655839984481112 0.685087075315378 1.06654098530239 2.19253166596447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.281828726898756 0.273951340399024 0.470034474158101 0.222673241537956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.43933212242077 1.01337293231529 447.456848976275 40.936678801433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.48073675211077 1.8626880400455 523.903847009092 103.792449590355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.48976233443799 1.84725277534042 38.112928464377 312.251103226091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.263521567488723 0.255658217644631 0.280837780393444 0.190601282575714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247499536732291 0.24796671108241 0.251984730266707 0.159066586389222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309634511263388 0.312395345861417 0.312687139405618 0.345540171196025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.41676343214269 0.423007428080374 0.446948550223149 0.850718419045923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.283045744773951 0.286781931305045 0.330129621785082 0.204664092673279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375403336481449 0.376357117314887 0.488938486693519 0.4253467587307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.517379625678631 0.534230897711177 0.745649182261745 1.14979873807313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655647294696284 0.685200194930782 1.06612946483199 2.19290295551583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.282265351517678 0.274584624044678 0.471268317316417 0.223570766731201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.28183405747389 0.957549411731702 208.770850542382 22.3148107837093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 6.0901209014545 3.09133948822402 29829.1926551807 3447.6888512718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.59016776965701 1.61709243076997 68.3567019002616 101.785701075039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.284066848684916 0.280429337763992 0.309434933380895 0.221775699480789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.251656713709581 0.25357078768651 0.256824331286845 0.164699521652706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.310849255406505 0.313700564261365 0.313598931229069 0.349200292782062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.417526819492387 0.424273454608269 0.447028175682042 0.855548963491393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.291255635666384 0.29890930541018 0.342864962495733 0.219570537241769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.376061085900758 0.377261176048689 0.490233936419347 0.427746475642012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.518074506533938 0.53512407689445 0.746058388334926 1.15335310676406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.656111299437443 0.686370317579609 1.06678600675061 2.19724558027771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.289047592895404 0.28199224536993 0.485668292131434 0.230887886100624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.15753096226561 1.56567255689312 87.8941737243187 889.171489949174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.12156031261441 2.00228186675354 2241.65404107197 192.812990647526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 5.10881800845571 2.12561012967277 25891.878289652 417.773037881472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.318061596628466 0.318678024107265 0.367157936672674 0.279428084238653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.259005232088895 0.262384903688615 0.266594141032843 0.174471519925725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.312840763828621 0.315582184991848 0.315786987918059 0.355157212569545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.418515548790172 0.426187328608296 0.447465914237809 0.863216670570846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.305904917638465 0.317933269196474 0.368845427594744 0.256161419646118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.377724348314918 0.379014588314659 0.493350850268286 0.433549198724394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.518939444101918 0.535976237004586 0.746580576083016 1.15842686930373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.656726713748501 0.686943333688886 1.06706046476018 2.20081922083997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.301136921383974 0.294148434695286 0.512123924419926 0.243129479425079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.16452001019273 0.989233795708156 151.883066933259 33.9317544922609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.48179604107998 2.76947500077817 352.871108474717 896.242033655608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.54163778900671 1.6779176687732 89.5213536623951 161.091272107631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.263277400020228 0.254702375055635 0.281001985035606 0.188493610611857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.247391909535401 0.247641372978628 0.251915013906527 0.158831789633407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309508551541321 0.312153058014126 0.312676309751275 0.344990349383503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.416555871744631 0.422577333597888 0.446727364966151 0.849368430867618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.28260154514841 0.285714444037972 0.329790939284069 0.203927326207095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375023496562991 0.376328979059379 0.488239755373145 0.425596531065569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.516772649034023 0.534351088899554 0.744816462427161 1.14991639039224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655409982264902 0.685158912106852 1.06508050126148 2.19285013582584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.282479692176542 0.274629482811184 0.469590696169793 0.219722953998606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.29904178107235 1.31297527128528 141.720431587753 355.846940100467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.30042219592225 4.82121256808083 388.701134345747 15843.1934490266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.84583528381265 2.33759679982904 3370.5877795807 578.62690205367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.2689099028385 0.261560893334841 0.288680403019505 0.195625508042774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.248388136082175 0.249031151201325 0.253115795040501 0.160307685118273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.309617469874166 0.312432292718904 0.312717472897525 0.345724183524594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.416548239045676 0.422696887576378 0.446363848104497 0.849865721890092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.284562156589434 0.28861004148918 0.33292414697138 0.207140162445877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.3749160560652 0.376466444709154 0.487940942261142 0.426255830302523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.516528538066182 0.534493687857693 0.744045963742854 1.15070615464466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655405900758771 0.685279626240656 1.06429038407505 2.19364212233106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.284433446449823 0.276340111700887 0.472295504905775 0.218721872462635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.22554690902985 0.935496847229969 94.827558022082 14.7001791120764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.904602035449 2.22807654904999 95.0450835050762 323.772643233659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.42065208841505 1.57350636398819 27.7562854817878 57.3561238587934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.289412850417953 0.282778523515745 0.318376739563859 0.221402602549649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.252648860891622 0.253823502112495 0.258540286511044 0.165290831727505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.310412694720235 0.313281517105062 0.313524294219642 0.348137677422653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.416859166745054 0.423120432366604 0.445817816934575 0.851597139036436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.292912309812538 0.29856529672886 0.346734852173595 0.218966043876366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375190329573547 0.376965664109831 0.488240279727532 0.42837658586102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.516241389400115 0.534734327908675 0.742451470730677 1.15239266748732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.655757426149141 0.685230797407091 1.06271747494322 2.1941367224026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.291756017263108 0.28261843201068 0.484575182002217 0.220097061710248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.10402197855018 0.94901212229951 41.7190802123231 21.4877705332544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.29307890648061 1.91581102070807 744.38305817219 115.312755793694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.21779399838676 1.87349754093179 771.668549126023 220.689733214072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.429808107080034 0.430574205106241 0.605443064723029 0.47485925681115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.285074493148613 0.290343146771574 0.304277788755274 0.211547228801977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.319485515622847 0.325598605565947 0.325954012032438 0.375672234899503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.420951557861223 0.42925737614348 0.449700281061071 0.876109644611878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.359129245643841 0.371227151745587 0.472558057898782 0.340071661039277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.380951876516512 0.387531321723453 0.497360524324573 0.455239987182043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.515969458709327 0.538465239697401 0.740302548473575 1.17098100344617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.656255602289597 0.686877463256191 1.05904653427137 2.20776103656755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.349592888964862 0.336633035534399 0.607154496811855 0.268980998006141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.47224866778573 1.21913754350364 476.069791283173 157.631064840867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.87515362695076 1.6614988000262 163.127765893884 64.0539149482354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.03921809836029 2.22072350014438 310.65945232578 568.128341893541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.611632255159162 0.610315830640522 1.23840058401674 0.923283652617395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.335117436766941 0.342179170534677 0.393035808377216 0.296327460688254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.337449717858296 0.347126713346225 0.353604063747653 0.430358361330149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.428935326866646 0.441299539823478 0.462090797872475 0.927952811087724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.461846589143963 0.475041444054057 0.769164969438796 0.596846466061231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.394668315788288 0.405253566046359 0.524217494864435 0.505436223473276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.518188901953071 0.545933513384268 0.744208462753917 1.20830125292469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.658095721339653 0.690277216939913 1.05936878771793 2.23460949228352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.434600821231513 0.421803728641535 0.851227386713773 0.400218180365487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 1.35797175682214 2.55138469509369 294.278073239419 4716.54213655052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.88584795805741 2.44956438040091 134.074670676348 1088.03751686008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.41267918687898 1.49327493380659 56.6388787517011 32.6708250848978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0129266196850531 0.0120612105749171 0.000622128921459201 0.000844283441089969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0140591178622788 0.0138677864360916 0.000413044201129484 0.00107661717966037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.021941584456987 0.0216562520083591 0.000811161155986233 0.00262424117872647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0313917425940236 0.030752993469278 0.00146776021841461 0.00503046173223194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0133955322402179 0.0127617046235417 0.000481447226513115 0.000774419708792559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0220685973898841 0.0206862157352031 0.00100804914487123 0.00219704551148947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0349263770341604 0.0330082073483373 0.00195165102253254 0.00563501011769598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.047766735758381 0.0454444915125676 0.00341021958677822 0.0100537916680537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0104197812269911 0.0100829091642891 0.000261882966596425 0.000551510672504485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0201600072062509 0.019835256552956 0.000692428568365326 0.00226865990518857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350128808341958 0.0343594954339799 0.00158260501708881 0.00620139099588592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0491907936849038 0.048352982504895 0.00254492655868832 0.0116205436249766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0156080899532772 0.0149925967838747 0.00077281082011641 0.00106492357169522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0145652214479796 0.0144353865800425 0.0004299919797886 0.00112222624270815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0220586168480423 0.0218044584121775 0.000815249201884848 0.00264256826631416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.031426429570978 0.0308205825341088 0.00146893400888195 0.00504110476810684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0144921933449283 0.0136164432373458 0.000545047170338219 0.000835347054068605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0221466712192019 0.0207656222020314 0.00101120671624018 0.00220400953979057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0349147725532071 0.0330223431427518 0.00195241874127448 0.00563897273368394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0477657398376069 0.0454480262417371 0.00340969572641078 0.0100553570118143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0114269517022276 0.0111855216898062 0.000297629598351039 0.000619117479703743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0202272465605625 0.0199133671816582 0.000694553453592196 0.00227600473018256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350244992461118 0.0343815940073288 0.00158292178340937 0.00620480749862201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0491885958737787 0.0483683993179449 0.00254491873872254 0.0116248984233236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.020781444548378 0.020528008985728 0.00121441240508852 0.00160844370558535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0158287754852525 0.0156885903988022 0.000481764496644177 0.00123199123113812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0223905711072761 0.0221691430498323 0.00082823237760236 0.00268715205464585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0315244160741327 0.030943073608506 0.00147381859934613 0.0050617614090889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0168757730741645 0.0158778113912614 0.000722340549131489 0.00101730509261485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0223309688616787 0.0209364374266307 0.001021744796412 0.00222254323356228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0349250774847479 0.0330637314907371 0.00195439886719224 0.00564758912965503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0477697045666265 0.0454578568542835 0.00340978003471948 0.0100586733415714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0137345757575264 0.0135877367342776 0.000409603170003449 0.000790000854203815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0204057015211269 0.0200855335226973 0.000700322073227445 0.00229381985432754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350492260165318 0.0344163209168579 0.00158406897757295 0.00621047005272974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0491867833190667 0.0483850808691482 0.00254528312060014 0.0116296134429725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0336360870475596 0.0334485512876995 0.00305230934995549 0.00352124392771982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0194659442800204 0.0193412565184548 0.000701013937789596 0.00160751697048404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0235087454645176 0.0233228384053138 0.000882351111098304 0.00283640012150228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0318790171494588 0.0313476679123424 0.00149429780476148 0.00513148550786397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0234590775975453 0.0222840176546876 0.00145606843075361 0.00168987501638715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0230849904819533 0.0215248872596592 0.00107063053313548 0.00229268611727921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0350154774674197 0.0331992873067221 0.00196139522943764 0.0056734404098898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0477911062291291 0.0454952259538198 0.00341168865277232 0.0100701406809125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.020050032613383 0.0197968137423771 0.000890388332127994 0.00137946221340096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0209952594660414 0.0206431080001537 0.000722922159882667 0.00235577749127522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0351352095860688 0.0345028805494207 0.0015888043355359 0.00622569746139684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0491924376599679 0.0484206626861119 0.00254716581718331 0.0116398219600547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.091122213670692 0.0908403774821373 0.025071288544475 0.021079727064117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0394262290179965 0.0393660417785082 0.00346432847110551 0.00487974088307192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0311772897133926 0.0309232741723075 0.00156418709681924 0.00404649066187929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.035026935041335 0.034422369000545 0.00175634455579598 0.00570435970276214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0567913438702885 0.0541789144883457 0.0109698200166198 0.00800814753695497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0287471899877744 0.0265260815175658 0.00178302595180043 0.00299699374885475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0362325381298834 0.034280933653997 0.00208675645438387 0.00587895967557255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0481250825240672 0.0458350497707766 0.00346218379211659 0.010153584255488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0500928208496527 0.0490456873732741 0.00679663511054128 0.00663706246443791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0251123835065834 0.0247596726690266 0.000972011604888732 0.00290150808185536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358014595922776 0.0351576270845402 0.00163936396257729 0.00635544245117835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0492834609464309 0.0486097062382109 0.00257004045073321 0.0116937015344622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.150948431270602 0.150064744881625 0.0775322125483774 0.0526252920181063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0621251346315816 0.0616754980037612 0.0101872014105211 0.0106949798572116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0413874016134855 0.0409347369281029 0.00329773956234622 0.00610776021401427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0397833747611234 0.0388555933398402 0.00245500376874819 0.00666515658914998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0931332137964986 0.0882102971117278 0.0395588632701685 0.0194715521104947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0366778818366217 0.0339182933232816 0.00428659903480193 0.00428481819010757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.038448066473394 0.0359850885309399 0.0026192865151211 0.00623549859699619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0489485183425107 0.0464660898800375 0.00372830992628613 0.0103088349899374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0819147605411048 0.079946602108957 0.0204224232662913 0.0160771611936484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0307929963013865 0.0306126651552661 0.00151341099577986 0.00391877658896236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0368566890813303 0.0362467031426932 0.00174433166206918 0.00664211457685706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.049556633621433 0.0488272989020823 0.0026166875106314 0.0117521841402626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0275162427501206 0.0270530194159515 0.00206670362777327 0.00249870916509788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0177488868365962 0.0173639242454817 0.000585239567792606 0.00139541948357138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0229824511886435 0.0226091578224868 0.000851389297543229 0.00273528154349169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0316673361959295 0.0310151658550592 0.00148142237881815 0.0050659220125964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.020002169499997 0.0193270790577608 0.000984742767644655 0.00137660486659262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0226612567400477 0.0213154181898215 0.00104373824524889 0.00227147221044649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0349654476539327 0.0331183628390346 0.00195605416853424 0.00565237245852122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0477694985506784 0.045494525275188 0.00341484374794894 0.0100620191602367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0172733798697208 0.0168436266030615 0.00064637156571311 0.00107248298404409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.02062023262064 0.0202826510494818 0.000707477731852084 0.00231072271058197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350482201766922 0.0344123056126859 0.00158361147868993 0.00620495312956819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0491972589572965 0.0483905361471473 0.00254858764763087 0.0116322993242793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0487850885433179 0.0485865759067534 0.00674121424545682 0.00700839003417474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0245633749810681 0.024166937969084 0.00117682107313238 0.00224435751196619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0254157755353863 0.0248119357089809 0.000999219211141748 0.00304289740361281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.032535794841401 0.0318280696265012 0.00153804221066279 0.00520214004555412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0316291476761536 0.0308062701127711 0.0026299182583942 0.00302739461360189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0243484838230186 0.0228049909900213 0.00116202133406804 0.00246992710385862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0352828338182882 0.0334235881446165 0.00197776054620028 0.00570743892887668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0478267759855754 0.0456157439140168 0.0034268420357129 0.0100879252573355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0281322593488262 0.0276736409079678 0.00194653845569598 0.00246004388792527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0218950466921708 0.0214447652689524 0.000768282664770354 0.00244406387395514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0352154373402295 0.0345511918431446 0.00159440662207034 0.00622614778235856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0492207666440549 0.0484444409367088 0.00255578444625292 0.0116482162366113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0935518595775234 0.0941444253645226 0.0265997620173526 0.0237647407521477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0405919544967016 0.0404004506090436 0.00376422772346537 0.00528735249363143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0319788478839948 0.0311660203094695 0.00165049875017658 0.00412702508926395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0353411720393866 0.0343949843385325 0.00178587000953932 0.00569646084780704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0578040959953285 0.0564125204519856 0.00977135329440971 0.00908000023797441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0292110646217434 0.0273206587575736 0.00165905839151605 0.00317834543754616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0364894340403554 0.0344874933872297 0.00207367441756013 0.00591426560689486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0481220619372477 0.0460288071765147 0.0034740897174995 0.0101850276576078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0522291531758938 0.0514607686984843 0.00766923408573858 0.00751840457014735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0255390418952095 0.0250591790904502 0.00103927090551761 0.00292901682291629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358402952891924 0.0350474937284219 0.00164574012341866 0.00631637933833256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0492923705678531 0.0485825835733853 0.00258071081307977 0.01168860795389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.275309795723182 0.282170739553433 0.269950318563845 0.180536822971685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.110782904644854 0.111013920000195 0.0350689824146169 0.033014319492553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0657991848957165 0.065569378568358 0.0097235888323525 0.0136459133508936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0527922865571619 0.0516874672397267 0.00478304403900393 0.0101290790660036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.168283880517453 0.166665789304052 0.099635636464787 0.0663700845245904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0559331532748935 0.0539548371196798 0.00770301305615103 0.0096089224270733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0446460387500618 0.0419612062086974 0.00322668314553115 0.00768539524422048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0513324173380337 0.0493715070479281 0.00399655822286914 0.0110623241671745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152568045407743 0.151602482355788 0.080799398880915 0.0545898005477851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0470320650677129 0.0459677817800009 0.00456249409437138 0.00709477121972813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.040818091345655 0.0396391692778854 0.00228412797231885 0.00728577229941153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0505923207763679 0.0497300918228892 0.0028333463656994 0.0119956070164473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.462154767280556 0.473174932083873 0.812847651558668 0.467883075146196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.181877262843446 0.182596271398969 0.103014130816949 0.0823247713285743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.103186499801845 0.103162564119119 0.0275654111855402 0.0301337937136564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0742451348345749 0.0737126305973104 0.0113654019731534 0.0178399406946726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.28394475010961 0.282858552868994 0.310856121267401 0.178972452339873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0869353414487361 0.0851101160143366 0.0219980476074534 0.0218663545273964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0557941012100459 0.053274433479054 0.00590982655568692 0.0110568882326512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0566159658481046 0.0546768922586611 0.00516893054490106 0.0126778076700734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.257202816638612 0.257822889764511 0.253842059212643 0.146346370520616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.071860321512239 0.0705126682805624 0.0128866454730325 0.0143509427459563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0488866085560311 0.0475531774627881 0.00378694749963904 0.00918856093575133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0533755891688179 0.0517726402026598 0.0033893273016861 0.0125261937910772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0919919990998476 0.103759442207973 0.0332118234196797 0.0429413037833992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0442977156739433 0.0493173638254311 0.00711269241158799 0.009615346314595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0462824131144361 0.0535730693059255 0.00836408882100214 0.0131352729839864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0626983562576928 0.0733008830502892 0.0138112481911257 0.0256294781170224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0761259292161535 0.0812485662938883 0.0195095263302471 0.0229463208454718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0615268531689355 0.0685293816756059 0.0158672623686745 0.0176461006133068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0899186882357426 0.102105352181537 0.0318346025278199 0.0416382826204145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128205566904507 0.148396456164955 0.0526916867027952 0.086654176080717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0517225311237882 0.0553238906788533 0.00988669001168107 0.010709063926614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0358481755972737 0.0388780592716994 0.00534835944542233 0.00754976967390457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.057814663029068 0.0661900264434716 0.0139340126700336 0.0222038593478311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0869974405600492 0.101773049875503 0.0291718607749788 0.0505530795232359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0963245161654981 0.107530468179669 0.0352021171175342 0.0448154792693259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0456327757216104 0.0505224443482627 0.00737625342478257 0.00990499423819412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0467915168141769 0.0540129966154958 0.00844492921622444 0.0132477498457791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0628929040034742 0.073423293532537 0.0138486160704847 0.025674831933351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0776628628637081 0.0828684622890614 0.0201208022102058 0.0236152505945344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0616798786623214 0.0687058940883484 0.0159187997348281 0.0176958927735052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0899528657270921 0.102136605126402 0.0318552590360049 0.0416401880393782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.1282209244055 0.148392042411306 0.0527035616643161 0.0866346003007422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0536965604023411 0.0570737739860718 0.0103822000642996 0.0111520816207645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0361644103415404 0.0391417752093706 0.00539338240441591 0.00760291430491456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0578795358491924 0.0662194020966104 0.0139484867125614 0.0222144743958113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0870178614355024 0.101763665334105 0.0291796090189336 0.0505531078353871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.106924081446937 0.11715371073272 0.0403776914021527 0.0500321745311568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0491267334297254 0.0536205141204342 0.00806909122495943 0.0107055944592412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0481598146826959 0.0551132086044512 0.00865338292883113 0.0135433849105975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0634286235075423 0.0737799731123101 0.0139370038972016 0.0258071557899277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0820379226602233 0.0871698659282715 0.0218651137121362 0.0254767221742722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0622544279795573 0.0691675470822237 0.0160771309239144 0.017848557533364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0900907349071826 0.102217914707118 0.0319058151052896 0.041670037422779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128263517930541 0.14841006701075 0.0527266171048059 0.0866310263521485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0583910973939601 0.0616263246437948 0.0116684722327767 0.0124179662007774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0370004745658908 0.0398827982031063 0.00549793749706726 0.00774535555494214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0580609311903564 0.0663378427222492 0.0139802994140231 0.0222523444813357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.087077595670322 0.101777585979218 0.0291964551584371 0.0505641522616289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.137969175098639 0.147272700105278 0.0598491140267326 0.0697611942389416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0598752441703759 0.0636324365489304 0.0106639667614113 0.0137076452725472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0527067742622571 0.0588049106922946 0.00942923927675003 0.0146197303887625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0653145763161962 0.075128461147107 0.0142586952791986 0.0263191148475029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0968745988362523 0.101824471159674 0.0286747728068609 0.0326036173680333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0645231798497084 0.0709008704965102 0.0167028766112524 0.0184584153987512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0906265022840837 0.102551785872477 0.0320893859847809 0.0418193832519497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128417510897591 0.148494088403181 0.0528041770988925 0.0866638828404691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0726704353174705 0.0762234619289502 0.0164773252400998 0.0173028200855892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0397651858987024 0.0424066464969411 0.00587209264317485 0.00826030430894692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0587551639516477 0.0668261751431081 0.0140952929921162 0.0224068028944661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0873198352333394 0.101877118586536 0.0292580030125595 0.0506198908323279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.302713321629301 0.314394533032039 0.264729512006464 0.260025578231359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119406266586615 0.123191358042393 0.0370867201819319 0.0427389569343095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0805530566993994 0.0847797177941462 0.0170312640355667 0.0245438930314794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0790230335654707 0.0863616659732256 0.0173687054602148 0.0311594985707487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.187514517779598 0.193852660738283 0.100820895330783 0.102317498247195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0820949145989573 0.086203827778222 0.0228633997628723 0.0247694594080979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0952323658005892 0.105844364506153 0.0337974887350438 0.0435364486836457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.129848453125056 0.149474746671857 0.053519899884059 0.087333517226682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.152361609491378 0.16000581031879 0.0660032009358831 0.0663465386324963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0574074447580872 0.0596364025863488 0.00945521523366654 0.0128382615917185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0643349536173679 0.0713693818975566 0.0151634110007327 0.0239324420450596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0895021816773811 0.103179729131176 0.0298419325789778 0.0512758563957393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.482604843194477 0.499392931350816 0.690209025286859 0.608624722734647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.185985416686805 0.191527430900455 0.0901049256732997 0.0977776856217384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.113678858440112 0.117729305425836 0.0319337676017156 0.0424504597300533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0968795300093355 0.103028517581842 0.0233286410119478 0.0398187723877942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.291810303168593 0.302037089401364 0.250368138322486 0.233609225860806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.106084764063633 0.109226581814489 0.0347051973857251 0.0368760226024119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102599698308339 0.111712825365107 0.0369705459684731 0.0469428249923068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.132461171157218 0.151311651446037 0.0548795021077952 0.0888015408257013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.241137686299316 0.253140538537061 0.16794112699471 0.159240062643056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.078846168777269 0.081512296074182 0.0164481812715796 0.0209641604140593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0723934164540068 0.0785859039744664 0.017151721998643 0.0266531652622732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0931416645767842 0.105817346312299 0.0309466250105349 0.0525950629545616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.123069441951849 0.134939766471296 0.0493960303333237 0.0607939366329628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0550226693469114 0.0591340325383926 0.00932827063645033 0.0122604519799982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0506253349142065 0.0570884441678361 0.00901862191484539 0.0140870265495625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0644092040609511 0.0745401090245687 0.0140693225473807 0.0260774600982035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0897872741637401 0.0946709566180661 0.025086963561139 0.0289754566649586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0634904301433833 0.0700593231275408 0.0163664892681401 0.0181466481454484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.090355574130101 0.102420615531398 0.031953700480476 0.0417794816267813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128395483861657 0.14845838828769 0.0527350266617604 0.0866903111775322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.066473547419752 0.0706062306339515 0.0142153179497836 0.0151767114185906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0383162710036767 0.0410887284772942 0.00564435856479808 0.00793970449161328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0584619772257742 0.0666177124762138 0.0140339288430609 0.0223244477306932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0872939932184245 0.101880108519385 0.029291163290252 0.0505750159989115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.180887834912238 0.193077485165899 0.096980979415929 0.109221366308066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0755703278349752 0.0789716974378587 0.0156822640413749 0.0194973320600885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0597997386933113 0.0651005092891746 0.0108788394235476 0.0166493947741941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.068521353215017 0.0777850617739428 0.0148200471684849 0.0273463481153656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.119839527708083 0.12501493954874 0.0420545932623814 0.0464768463318539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0687173908724237 0.0744266828758337 0.0179193661461918 0.0197322239206112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0915573189813426 0.103349024899994 0.0323525674506166 0.0422418748877898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.128788068223686 0.148694845966588 0.052888357862531 0.0868694188876127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.094798214910545 0.0993877347971981 0.0266007686744063 0.0273752132180841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0440239191380894 0.0463328785361093 0.00651129069849984 0.00907483085524222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0600899917837535 0.0678256500423493 0.0143053622664415 0.02270257584628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0879648710757068 0.102264969513132 0.0295007031927227 0.0507262103355651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.315409336168889 0.330504027195715 0.29146106530396 0.288567242112033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.124283410002724 0.128251632791035 0.0408100510513601 0.0467262533031967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.083072886683727 0.0872004830469904 0.018063666247321 0.0258270682603741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0803207982872928 0.0877935999218953 0.0177166803566962 0.0318503249329936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.19567729226428 0.203195488498757 0.111578363437953 0.112973718083582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0845194452089737 0.0887734211609479 0.0239181304148074 0.0258917660434784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0956878047358937 0.106752124547912 0.033927103781589 0.0440647754202588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.130177374361625 0.149664200567761 0.0535277299214179 0.087646510762713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.161451927849849 0.168162916379553 0.0760513579381252 0.0735598931703209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0589674682744067 0.0609390923461506 0.00987002305228427 0.0131819490527446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.065151969923918 0.0719367227084619 0.0153179090700946 0.0241135719011069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.090129829664873 0.103752643726271 0.0301696032660931 0.0513762250371508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.895577731312435 0.921210183811153 2.59712183277172 1.92837811135875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.337567805904408 0.34836551963418 0.314482054456358 0.315500142005529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.192148146526079 0.198048218599319 0.0943553006815279 0.111701911417208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.142757261196543 0.148129030787959 0.0480601979968728 0.0720822607784028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.542749916629593 0.558554099344572 0.948996770376327 0.761008600981894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.169817299774737 0.173989540733657 0.0866468447006918 0.088132716576396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125725180447265 0.133662394121421 0.0502361614410116 0.0621477801731921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.142037398758222 0.159396470170312 0.0604596694376015 0.0961639936141496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.453107158920055 0.470798167460994 0.652991928907764 0.519544259038467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.132314532181065 0.135390335587778 0.0469773077680001 0.0515996347201063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0952392963056014 0.0997875352691209 0.0257723546697991 0.0367037625784449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.105585289324011 0.115993484893992 0.0362748559877125 0.0578172265048181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.49366649253528 1.52355050084589 7.71565556514925 4.87289703264637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.554203165945658 0.572309490292287 0.877810329269062 0.815994249637538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.306691808824225 0.316685462651119 0.247830403758865 0.271859883503414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.212557258611946 0.21926380528464 0.108801594402393 0.145047537000757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.912559987782461 0.933384220318215 2.91435573655526 2.0089511897868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.269289838159144 0.274510584869761 0.225917759672869 0.215736129764317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.166202951252434 0.173175001866477 0.0841462749354121 0.098116958776406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.161117280628296 0.176817058996739 0.0747644153667953 0.113838488386108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.761717337253314 0.787199473600956 1.99203296277797 1.34966971757603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.212553338577994 0.218347286204115 0.129318701158592 0.124230083963699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.132420443966059 0.136587426323143 0.0499059337494596 0.0595905729084626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.127197362896854 0.13493213277043 0.0501707532835439 0.0700390572810726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0981948315201545 0.105008261489944 0.0478364513150442 0.0511320334409276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0527124745293706 0.048665929927782 0.0181506267383134 0.0148226997092789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0593945415377219 0.0504040997398336 0.0265676282925424 0.0152965789001007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0770910978088263 0.06759785112945 0.0400341023728872 0.021558856271921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0743622387049593 0.0715997195402572 0.0306240682693814 0.0269276523712796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.076582149930324 0.0628902808987392 0.0531780693826921 0.0220951425998715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.115777226230763 0.0988540704592897 0.10163204487027 0.0450612947770742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.159959007731899 0.145822305251604 0.16038136786865 0.0836218082096871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0548079313430556 0.0520006008846 0.015366217309889 0.0163628288312238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0555653969793901 0.0404914780702577 0.0322311582395291 0.0127054118058558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.11175279212638 0.076459156550581 0.155311580350665 0.0289655399228806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.201056247786526 0.128777323417736 0.606335487551204 0.0697408893805331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.102481795809686 0.10937513691916 0.049532419633359 0.0527215027129712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0542684961826377 0.0503151000690024 0.0185092891305571 0.0150551852498712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0601191232863296 0.0510712123960822 0.0267166938450736 0.0153689223363011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0773412085432759 0.0678912464018734 0.040073035818894 0.021600237419422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0765018825522017 0.0745226064848117 0.0312846059782387 0.0276534399359724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.076995440563055 0.0632303801086253 0.0532908327286434 0.0221744750003242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.115823117539301 0.0989049963043209 0.101586395419252 0.045137667615482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.159939885172853 0.145854047189226 0.160297349221838 0.0837165144327265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0565367714370151 0.0546097369906575 0.0158262772883059 0.0167624980390602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0560581125374514 0.0409656846500251 0.0323847596363478 0.0127419844777791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.1119404605343 0.076606370344332 0.155956374664498 0.0290567547132405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.201179516876357 0.128822159873411 0.607493268189187 0.0698611625033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.112811043096334 0.120055038494163 0.0545879100879414 0.0577980898975484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0580058504216225 0.0542429466369428 0.0194609556802021 0.0157864507886333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0618434130434352 0.0527763695305768 0.0271272122355444 0.0156005942984476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0780598310839471 0.0686184785336217 0.0402541648253955 0.0217165421513197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0823325377807277 0.0813357574340793 0.0333836268188357 0.0297170921750263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0781458669987532 0.0643258036893965 0.0536418367307599 0.0223891857181131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116087384624993 0.0991311444799746 0.101634146528645 0.0452558097618343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.159983814598981 0.145934320286348 0.160250809467752 0.083830180763251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0612252988200486 0.0605054814760292 0.0172120880993703 0.0180121391768848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0571674909824945 0.0420604745719855 0.03269873092377 0.0128419535170738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112317364633285 0.0769369121069934 0.156723245267881 0.0291699670817646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.201364775727115 0.128926984223775 0.608907590305405 0.0699999366503684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.142716308487566 0.151743922233438 0.073915419752995 0.0773465769007269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0686679908190742 0.0655537761924046 0.0227773428034754 0.0185839476888237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0667205617901415 0.0578220730221662 0.0284726103031446 0.0164675374743595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0803170519296749 0.0709158217735863 0.0409121794995086 0.0221383589770489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0993163042291862 0.10003177596855 0.0412016464934142 0.0372677490064266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0816312344357985 0.0679000098087266 0.0548366489834197 0.023162448742658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.11706473603667 0.100037283100639 0.101941022459526 0.0456088877915454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.160229919130073 0.146223516137051 0.160256557001066 0.0841109262450934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0753749830065603 0.0768537264626139 0.0224175472976966 0.0228011651328784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0603587564786139 0.0452759088318627 0.0336492067420827 0.0132108581843738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.113426190821513 0.0779624561153773 0.158541366814303 0.02945476579391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.20189344337344 0.129294626776974 0.612491402829444 0.0703318273517538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.303195937689663 0.323368747098811 0.279424150827511 0.268380231815632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.126741273548195 0.128756268862709 0.0532513395328693 0.0474752010283303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0939899071451835 0.087115701176808 0.039299489421085 0.02500812877148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0941341023407144 0.0858217773825862 0.0461975895200799 0.0260246080052707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.19189294394554 0.200030711750005 0.119836335608952 0.110824451414626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.102430481001311 0.0900081879101404 0.0644836483915229 0.0302860027735473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.123728553804221 0.106946301240743 0.104929206969819 0.0482662332858179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.162628924407133 0.148691791173938 0.161296217015673 0.0858675025697242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.154184991690806 0.162863805857446 0.075343900316407 0.0712598124720628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0784826729980838 0.0646468738771687 0.040531663063421 0.0169095518940656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.120495481321772 0.0846530282488849 0.168986785890586 0.0313046782689294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.205721819477977 0.132364928438307 0.637146801162991 0.0723723584041615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.48072283665152 0.51148961559442 0.712886848223739 0.61802040430836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.19183931645055 0.20048482672909 0.111160813097401 0.104315541940512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.126030045117552 0.122415942813233 0.058089389511946 0.0417804641848759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.111732435965094 0.104663056200456 0.0550649703147696 0.0332178629236945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.296739190933573 0.312479131199457 0.280139777401235 0.249334532578255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.128256503875519 0.117489812588065 0.0811531923237893 0.043738066861463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.132902307631106 0.116462209908826 0.110184704804884 0.052671245196422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.166385502612768 0.152492330389959 0.163582214636765 0.0885036569132607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.242107408643288 0.257335598243024 0.182880677893867 0.163466181989497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0999486424547159 0.088223436449006 0.0517191305474436 0.0242178758917185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129878652658401 0.0937410381472724 0.184588767737254 0.0343161372372245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.211575714429773 0.137039920321954 0.680699606548218 0.0755985041998726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.132531220655454 0.139791580969753 0.0665026408717595 0.0700632251818706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0650330145548005 0.06133470680013 0.0214930894034003 0.0175644466295481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0651454101325476 0.0560679819485756 0.0281238668962794 0.0161697587571882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0795535201646171 0.0699173664412985 0.0408457925974676 0.021953578643222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0933137560491526 0.0927677649342781 0.0379223371551237 0.0341213575756006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0805322272874311 0.0666196590863881 0.0542990559657005 0.0227137914819264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.116862489093406 0.0996440350277208 0.10201742363561 0.0452234207412025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.160306895606423 0.14599111366677 0.16042365101401 0.0837240220673148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0716348686562355 0.0720085030945559 0.0209675586500623 0.0214132125871008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0590000659691807 0.0442484208778943 0.0331825685125688 0.013068525769685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112542786305543 0.077399718804893 0.154444851220666 0.0291661825468374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.200882747130879 0.128991408053402 0.597876428988891 0.0698561549952185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.191330481903757 0.201756808300263 0.118987874554718 0.121473647823876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0863746487672129 0.0837992342334329 0.0298761923567946 0.0251061935943479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0752145352652508 0.0662825617033227 0.0314956908050623 0.018464636798131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0845891908239669 0.0747016115879511 0.0426568438581127 0.0229959343492587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.12674175618953 0.128743074489865 0.0584580385600864 0.0532515719123941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0880324164778334 0.0740473593606407 0.0571055043839969 0.0244976107960921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.119207858761659 0.101635495928204 0.103054057009951 0.0457718250259006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.161137183700234 0.146583268119633 0.160782596697943 0.0840244624135544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.100796284709579 0.10491438004206 0.0355792635808722 0.0349016717266507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0652903989051688 0.0510627118506441 0.0351929499111942 0.0140643701357168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.114450653298575 0.0793780566395884 0.154321889346456 0.0295805417683245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.201287556977687 0.129721031501135 0.59147794978976 0.0701960381911789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.327102307616515 0.345411335115855 0.331640393236134 0.309624356621215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.136165244833966 0.137162166003922 0.0605553217817513 0.0542779698190237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.099535369607171 0.0914682552881048 0.0425054593816957 0.0271280215920477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.097541881336169 0.0877261876880486 0.0482833411043827 0.0268138610236545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.205794467228592 0.213516984777624 0.1394172615572 0.124947430570499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.107205731449499 0.093040046878007 0.0666343626015925 0.0312153121388658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125882196393264 0.10754005518773 0.106523746193809 0.0478457670751383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.163703404467253 0.148534754962382 0.162220355947583 0.0851256601795815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.169236239494391 0.179728913994819 0.0924909070099973 0.0854326467078453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0809371847887864 0.0682903552621969 0.0415460636375481 0.0179340626015862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.119887456967775 0.0851776760227404 0.155628061080153 0.0310241443632637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.203188268970949 0.132252522428878 0.58423238545474 0.0715360283609235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.928914478153165 0.96211314044297 2.89790499911548 2.03713164062613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.357589242098904 0.371590869800493 0.380319129106055 0.346547269378548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.212021406569762 0.21192612694683 0.140981643394666 0.116758244257525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.162296122134671 0.155851765836617 0.0935540377677933 0.0646622989423461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.567335856099846 0.584876506725794 1.10433109171625 0.805083579309317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.202380865845987 0.189248095338346 0.155818180428004 0.100456284484889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.163204138612947 0.143275511524112 0.135309299865428 0.0684428198492902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.180722354585878 0.163282288255775 0.175759590601154 0.0959183623295143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.473109812805899 0.498657121175858 0.757963977935055 0.557322397973172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.156941167750782 0.151959566317856 0.0974276442358419 0.0586668381068842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.151529275463837 0.119935154088398 0.178724599612019 0.0457173005221772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.22056549792072 0.150979957808767 0.643828777450442 0.0881987860168645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.55621356099796 1.59228616101651 8.57923140439404 5.18694265615387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.586655305318882 0.60667143419032 1.04325334151578 0.880290231219517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.331525355447964 0.338662007296724 0.329097860976404 0.289011312418864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.234501082128356 0.232982347213309 0.174572403161691 0.138483274620157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.95860901628748 0.977286043420503 3.37800260796518 2.12324163091855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.311019187452168 0.299379564805817 0.345746157187256 0.241035650616087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.209828285944831 0.189519743915928 0.190517965520191 0.10920833575148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.204486294431352 0.185414058964121 0.202305635055102 0.117055538866748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.800645571564426 0.830907495232028 2.31313085487184 1.42935103068071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.241798565569831 0.243919471904491 0.211698597740466 0.140766937285178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.192573683351949 0.165227018543259 0.241433781552393 0.0823548892836759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.261138121715683 0.183712088520087 1.89763604686123 0.23117279159806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0711405491027539 0.08598583077406 0.0216070343618291 0.0437078918603526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0333739140779172 0.0404229353128327 0.00506758843959686 0.00970824236584032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0351606277629879 0.0457873165346988 0.00620890054600298 0.0128844751141635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.048037174371423 0.064526657832715 0.0117267776714452 0.0239154470205129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0585636745092112 0.0625312092329633 0.0164143057136251 0.0218943700308628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0458490850992005 0.0510148883345937 0.010648426149472 0.0166106710935495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0661855555497675 0.0772863849154079 0.023180307482362 0.0359456110281918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0950303545156573 0.11256199461154 0.04665848965215 0.0690638397485218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0457046894642835 0.0506314380480387 0.010536048880174 0.0121046750348181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0332724258907234 0.0449910198001593 0.00662379558772972 0.0149840523368016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0630965906996789 0.0927505379801731 0.0325561363438396 0.0859969747733737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.157568186304564 0.224526558028732 8.99167557097975 10.2832990081697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0775074200068838 0.0921691963261543 0.0234372289510784 0.0457522350342637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.035508732830841 0.0425518130943965 0.00537578266341676 0.00994452508031196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0360669125906126 0.0467306277780616 0.00634420513450627 0.0129481925293641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0484375903417745 0.0649140834012832 0.0118097244540006 0.0239435824800785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0618982845854295 0.0655839952244446 0.0171928058393441 0.0226519301996772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0462937647363607 0.0515628598100283 0.0107274541293237 0.016689798669627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0662758272955854 0.0773738408774353 0.0232055308493857 0.035969327479921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0950764851096659 0.112586899514474 0.046686069734914 0.069099093238865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.048865195465797 0.0535916266442856 0.0111920119128519 0.0125408814898919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0337700686597425 0.0455216379958013 0.0066848906750035 0.015013640814632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0632886085949929 0.0930078353566683 0.0326866081951064 0.086370687384132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.166967500341292 0.232590285616798 13.8077718875591 13.8635682525306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0910031490989571 0.105668285795405 0.028508535457533 0.0511811642171813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0402566796295921 0.0474558973180548 0.00620299659428477 0.0106331266242162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0380729094335681 0.0489547462158013 0.0066795450449247 0.0131368335557908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0493466974635387 0.06594208932796 0.0120029518882472 0.024027338969735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0689668447708697 0.0726133693086947 0.0191747616837682 0.0246991892813089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0474822007532789 0.0528936910742723 0.010965629804978 0.0168739147149958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0665344730026348 0.0776475939508099 0.0232805404940947 0.0360207485486375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0951703546818144 0.112660346697716 0.0467348414469601 0.0691461948228873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.055171704580907 0.0600637456326513 0.0127992266683493 0.0137383100087266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0349684268717928 0.0468188714774916 0.00685957066080404 0.0150997610701208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0637676562661459 0.093622108197129 0.0331851261500768 0.0874401143858838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.183558099440409 0.246903440349746 25.1541764556596 22.2830347722416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.126301629700248 0.140291330637946 0.0477606078314829 0.0704506057587824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0528895907117416 0.0604095873544624 0.00916865816471353 0.0132307899671666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0437074363158681 0.055045260624982 0.00780354549012199 0.013856315064493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0519996160019967 0.0689947478761574 0.0126221784401456 0.0243406377289957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0883990576948819 0.0918594287558511 0.0264918539185884 0.0319960126436288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513846291421033 0.0570352972866388 0.0118485340906025 0.0175304313834973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0675134909145702 0.078714503040368 0.02357261544175 0.0362059853601984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0955091529412412 0.11298630890176 0.0468983455376889 0.0692786297224803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0717182666301445 0.0772503916231466 0.0184660560845858 0.0182464851110131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.038419255591432 0.05054199215774 0.00744886491635594 0.0154284449535358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0685239083732141 0.0994838305560406 0.14086890875751 0.25905663015945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.37400571579611 0.411091554507918 424.391803912513 317.857159689009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.297272593195584 0.308465713880272 0.253186438966245 0.251145855429605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116546114681456 0.123873143530546 0.0382704851203146 0.0397732094668692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0738272956221332 0.0862029775256022 0.017390905741398 0.0213137731021567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0677040918205541 0.0860963353305104 0.0174572510710743 0.0274478034546584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.185327826643678 0.188594834665432 0.101075133419489 0.0998518121974632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0744999163960786 0.0811936949260745 0.0196068775276523 0.0237595745299416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0751781359846814 0.0866924020427641 0.0262197659103674 0.0379420747235177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0984116619164215 0.115937763138688 0.0483082036583056 0.070276970619095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.15460966181383 0.161634571310104 0.0740158750548151 0.0636058446351146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0572963072375137 0.0706916151695112 0.0122770707544032 0.0188266817903432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0716084077137584 0.102431618278092 0.0354928869249744 0.0879219359367605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.149243274052592 0.226058125843623 4.45986147628992 9.43003149172351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.479010164684143 0.489974564232756 0.681307132643078 0.583719581092935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.185498501073793 0.192978666726945 0.0955419342091751 0.0922170160968429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.108551594277296 0.121014130290366 0.0349761532284829 0.0363018434225322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0869188537803019 0.106122684420967 0.0256187589800706 0.0335817675038213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.291431244149573 0.295585695570164 0.254851928531014 0.226134325200844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101916493880652 0.109421057855153 0.0337341760859833 0.035707724445975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0857606695336886 0.0975169761740279 0.0307567044578819 0.0412274019062736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103164828547866 0.12063195015875 0.0508198189585384 0.0719947882779687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.245208556812884 0.253579277773368 0.18631489489784 0.150923610305897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0795067730926628 0.0939153918174358 0.0209230444624881 0.0256583763077886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0806050159123237 0.112579981285437 0.0395416992341443 0.0914383386256299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.149678932411156 0.229748613297982 4.149226406818 10.8520191767475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.112287826171365 0.127774330067219 0.0404516891776948 0.0639441576011662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0479256572050171 0.0554375664429222 0.00802179043687149 0.0123188730904344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0414685282702971 0.0525898055459452 0.00736033751449456 0.0135870607902915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0508060794490247 0.0678234676254143 0.0123357436696139 0.0241968372482812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0797370627335573 0.0841581018476219 0.0231426249758505 0.0287353131402964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0498102134212935 0.0550178482191729 0.0114885163647485 0.0170965154425148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0670667509064839 0.0782007625797087 0.0234518933636406 0.0360035153100977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0952577813731611 0.112758587169647 0.0467731255028208 0.0689429760620057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0653502505985836 0.0694071346319966 0.0161270118803807 0.0161584389030283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0372379729257358 0.0489158376290473 0.00728706044784787 0.0152498996130266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0643050392043718 0.0939063870192425 0.0329935378195537 0.0860144123695672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.160266701876104 0.232313437131066 8.3757824507836 11.2049290967022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.177121370109469 0.191856778841751 0.0933406243247896 0.114444384752535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0716516874169542 0.0792888000960709 0.015747238106738 0.0193457555613827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0522537215361858 0.0639246867829728 0.0100474145898695 0.0155230049488095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0560804045874167 0.0737904514663326 0.013719945184605 0.0249924263839285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.116075596563713 0.120148652873167 0.0418961757226876 0.0468243925177681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0578098890740257 0.063196349153002 0.013629176908757 0.0185764702779283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0693318156855235 0.0806425402022367 0.0241811347147271 0.0363368839710273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0959346609461386 0.113503035887384 0.0470977868438818 0.0689541499072061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0963458041695275 0.100459806855008 0.0305689020196891 0.0276250894929581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0442083271838427 0.0559529219536579 0.00876956716013729 0.0160445364347071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0667909625755512 0.0963687256211715 0.0338912915094321 0.0864326330068966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.195664521640514 0.304097286127929 20.1373416823035 60.0005173524112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.32076983458354 0.334257937496382 0.307716028969341 0.299089876928945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.124940767912161 0.132473073049446 0.0452783698488342 0.0464822861421111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0779230675467047 0.0904029459026733 0.0194670009499942 0.0231661474970587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0695800780673709 0.088444627666747 0.0182618436085178 0.0280955202540087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.198128157472369 0.202145831751503 0.116625057495366 0.114228231403108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0779583222438582 0.0836840404422985 0.0211493084276533 0.0243903357531661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0761338734997645 0.0878129112289479 0.0266932242345015 0.0377654764516612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.098578487051438 0.116280274250167 0.0483701571734321 0.0693579467688769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.165798183433622 0.170427580511981 0.086354310737016 0.0720043359656945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0609998983791914 0.0727281606358859 0.0137492046219429 0.0192193653730239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0732309677190934 0.102979602988693 0.0365216854147311 0.088014661846047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.170084137417099 0.233370563611852 8.85878733961093 11.1537759419539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.920708728287592 0.940340042594153 2.79242794569487 2.00569411562748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.352097572381046 0.360885699821486 0.359401298502883 0.323191706067046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.195702709806885 0.208274379334235 0.111631744709016 0.104540762639981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.137003750074843 0.157780434028063 0.0581897905782224 0.0612934654205637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.555752319576838 0.564157228362974 0.997164643410049 0.770888515556473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.175058186763044 0.180598051676576 0.0955301248727203 0.087198834873313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.115640716861705 0.12786335887113 0.0487165984460515 0.0540021689448327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.117304480268064 0.135946031972583 0.0596117630561527 0.0759442817933463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.467928992249557 0.472359522327333 0.726703527886827 0.506271415013215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.13939472006293 0.149528149953393 0.0612943494082158 0.0532962578421168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.107191011117995 0.13864010756724 0.0570947345854638 0.104773320684991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.32519268579416 1.61481153503351 8568.6162614626 12252.714737114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.53682867345131 1.56000838331168 8.22027504175363 5.1105999909004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.580580235694842 0.591786861840687 0.998866640591557 0.841386669094109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.317834462477659 0.330560930618004 0.290953486499807 0.264180377818548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211629565254432 0.232397403298731 0.132329468110617 0.128033006251646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.935136950085422 0.949291176481881 3.03390874806511 2.04850322644698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.284069301701056 0.288039746220357 0.255531463405457 0.218405048246182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.163670110177487 0.175354340087264 0.0913216255181032 0.0895774314330226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.143139819007361 0.162293188653898 0.0803139831846953 0.0914588114556926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.787595685861339 0.789955600885284 2.19014162884863 1.32106998024229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.224581017330971 0.232745414226495 0.160204195817403 0.122254364974992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.14785311112388 0.181700444286841 0.0972491196445856 0.144918846155158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.293088809568786 0.292112028549367 66.205751149887 23.1007491061652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.100959742426763 0.108351995086361 0.0336547142554541 0.0398660409621574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0424328226564668 0.0510659408526345 0.00510935876312289 0.00844509169385318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0366653371747204 0.0507382708950883 0.00356964456971035 0.00955220340573221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0473695403761807 0.0684650540641671 0.00530743389349982 0.0188383223436453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0824189487520969 0.081246111751765 0.0207949804869902 0.0201749994426211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0541858034517041 0.0712373917895181 0.00922489493396527 0.0145408455389185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.073036164000814 0.105119073360094 0.0162348723267487 0.034184696787578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107144613446355 0.153419632568374 0.0297397245705655 0.0764151286867648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0559821389997524 0.0608591476365742 0.010333622026919 0.0107229044815206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0269249140706912 0.036193674036968 0.0019879811332605 0.00497948005460472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0393613209283352 0.0593257087765253 0.00432795478796812 0.0141247776980542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0574160401195173 0.0904323327009144 0.0090739869529111 0.0329054004957446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.105187860743207 0.111785734277846 0.0356595333819204 0.0418044593035594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0436333656933734 0.0521791546116984 0.00534967969813533 0.00872740415613838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0371059849746002 0.0511765706073273 0.00363255340768326 0.009663065145901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0475094585235931 0.0685836322939915 0.0053285494882531 0.0188878138015918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0840167488431504 0.082856360130732 0.0214241434437826 0.0209360528367124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.05434101383102 0.0714472394822861 0.00923543726712619 0.0146175995148786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0730501533720645 0.105170205154508 0.0162110329818795 0.034217958613353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107145475476406 0.153378299706174 0.0297146412178899 0.0764032712044082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0579549606962914 0.0625631785238715 0.0109018404021577 0.0111180636944218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0272361130465679 0.0365159028969147 0.0020246214203259 0.0050425444819605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0394215989771646 0.059402171499644 0.00433842822755707 0.0141571457073975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0574182871196288 0.0904465193619942 0.0090650745730775 0.0329228208926593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.115571304132716 0.120932482262103 0.0411846838027211 0.0469486564785137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0469849407693637 0.0551209091929328 0.00604274842094115 0.00949030876532493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0383438539146692 0.0523419163940667 0.00381946993830877 0.00994828134189517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0479650194851574 0.0689858163346089 0.00539805634959255 0.0190249320029121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0884435545096982 0.0869665714066621 0.0234269628076244 0.0228464777509912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0549127004467182 0.0719503678140326 0.00936821580768949 0.0148004178239311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0731583084365369 0.105290125285036 0.0162195293405485 0.0342846721451624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107166326408025 0.153361711555467 0.0297014590367869 0.076409556847205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0627236852586897 0.0668823125096561 0.0124022535667712 0.0123255338674033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0280502794898767 0.0372864213635242 0.0021221339045412 0.00518279637696133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.039607133194647 0.0595867977099376 0.00436700453057303 0.0142169940055836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0574560185725486 0.0905016670249402 0.00906457607631929 0.0329548979327877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.147102513106114 0.149582496832118 0.0626942361677066 0.0660896056662265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0578769010904322 0.0645940586490035 0.00876154180174158 0.0123302078925866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0427849492755907 0.0562755539445998 0.00456630628772039 0.0109817489994315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0497105627772298 0.0705021698303206 0.00568057539019913 0.0195376833530642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.103697960999945 0.10129683241938 0.0315095023011074 0.0300956950496712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0572509551911824 0.0738590484991196 0.0099984123056097 0.0154931953453827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0736477504265616 0.105744898796806 0.0163322297665227 0.0345210356745805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107277275297161 0.153392020405284 0.0297121185123646 0.0764728538474801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0775451893074394 0.0803717565228425 0.0181267892898395 0.0170230778087516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0309154113155844 0.0399130602342591 0.00249874175286908 0.00567779474946436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0402902643867765 0.0602530487050131 0.00447595933826293 0.0144148829713565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0576532077350046 0.0907005334215732 0.00908987057408953 0.0330544899156668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.323205002706721 0.315417479723567 0.300978683202319 0.25208416740573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.121341572418141 0.122581236437483 0.0379648266858097 0.0401437746017555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0727540444422405 0.0824025226196975 0.0125783437322624 0.0203480656482116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0638311785224587 0.0823436975769614 0.00872908999799523 0.0241684539583044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.202784711634765 0.19620494918961 0.120672789065242 0.10296493611116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0764323018274694 0.0903213319426144 0.0170705187008472 0.0224679914316871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0786171561179666 0.109949787630376 0.0179956256647148 0.0367639869769217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.108767076579063 0.154407518698069 0.0302693321833426 0.0774202137866697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.163883545302791 0.16220949194813 0.079765239776216 0.0651648810991355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0507651135455874 0.0574590250220234 0.0064737569462606 0.0100320685660713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.046411107487998 0.0655494430315214 0.0056057930970514 0.0160601223261566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.059982769152541 0.0926905824609743 0.00954172014524571 0.0339318706045407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.517833670936356 0.502344684580805 0.806771287898679 0.598675602598484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.192622530374117 0.190517520849855 0.0979389585855071 0.0933412738680119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.108808170610498 0.115461585334408 0.0288853193757339 0.0375119909841762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0834338365568734 0.0994339008434839 0.0149629643660921 0.0324309466142299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.318998335358535 0.308359931843004 0.308942067204223 0.241350031470407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.103871603666115 0.114627822757037 0.0315471409693246 0.0359076919808775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0868492846620728 0.116796023404281 0.021489010813957 0.0409094535468052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.111733945234817 0.15663287133238 0.0316350830667213 0.0794340549399765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.26135058585411 0.255932585839158 0.209351164954315 0.157007408647765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0751463438060993 0.0798728866267585 0.0146139365162445 0.0178614936640752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0558836099425179 0.0736020465251817 0.00787091508197007 0.0188840478755899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0642058250186344 0.0962185609152774 0.0105444998975651 0.0354922905220924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.133411971495483 0.13560707659448 0.053634277400532 0.0566810412980399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0536868516981732 0.0598217313656094 0.00773373433865122 0.0108709660768838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0410525361977252 0.0543549403388027 0.00429344747263357 0.0104718985528534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.049001674897303 0.0699275260787416 0.00558150488018244 0.0193307161935388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0976232283685168 0.0947908678895326 0.0288446716081172 0.0266311076476602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0565805346837291 0.0732512718163055 0.0100138297961447 0.0151860862522594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0735959090955455 0.105813345887094 0.0164630896391934 0.0345128477320287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.107274146326076 0.153746024455174 0.0298344768272015 0.0767239810484673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0715444878337841 0.0741157155890471 0.015693022585232 0.0150479149969323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.029834586430306 0.0385675080423264 0.00235456292480955 0.00542407073915122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0400168825384033 0.059857869826061 0.00442305859186067 0.0142926743164189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0577041233997309 0.0906859230344151 0.00913342830796773 0.0330097126036998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.195890946128514 0.192871582589064 0.111584474098084 0.104391161924083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0758373685733173 0.0789978871510508 0.0151206045804815 0.017844592940008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0509871254071765 0.062586510182478 0.00635239579467067 0.0129259806261364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0532685499081114 0.0733738633667372 0.00637351761936501 0.0205730228359676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.13202385406825 0.12551702992768 0.0526529552156463 0.0450024906751013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.062771934050868 0.0780718516744675 0.012163884922479 0.0169835892971178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0751632236163894 0.107206980030931 0.0170578527462285 0.0352145855344993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.10766289290854 0.154343852919902 0.0300729693977486 0.0772454556700176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.101883382671712 0.101734308925863 0.0310050915573115 0.0273620041779941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0363281116460775 0.0441136441788885 0.00338470626659601 0.00658453477899239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0418833406130508 0.0612875160826496 0.00471555786883926 0.0147105192447108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0585031308822075 0.0913075162901063 0.00930268135510057 0.0332508466549403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.339998626914907 0.331492294477299 0.348680781734326 0.284306571118305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.128306489056826 0.127585069853626 0.0444527261849586 0.0444895747136919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0766862383476357 0.085078900903803 0.0144696138694043 0.021808838191439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0661533664854427 0.084047223409605 0.00951163137259929 0.0249970733498685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.218724404472148 0.205513020029758 0.149694501766782 0.115029481218233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0814130475613221 0.0931946977454506 0.0204242987337228 0.0238174278183926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0804551539819357 0.11154029846666 0.0192719965529561 0.037624045183164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.109361924881336 0.156209464941893 0.0310089997014946 0.078872189012537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.174111557856638 0.170190162302815 0.0924280345217051 0.0743407990240341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0537943034751559 0.0594709457398558 0.0074984203171682 0.0107369047351261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0477843688040878 0.0661300794419681 0.00586312457457855 0.0162034802269213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0613225568294456 0.0934861548246835 0.00996469015416279 0.0341079465907446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.963915826530825 0.945242423501973 3.15819088948141 1.99791473918211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.357455789254 0.349334463898397 0.370543779411412 0.310418752760753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.19531729880002 0.197371136803063 0.102650190914508 0.106582492016314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.135472932742923 0.146772063253989 0.0438275283064474 0.0649374333497477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.611169678368431 0.581673448710062 1.30007510985257 0.824197150549916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.184309510371658 0.183631703694268 0.112724081515981 0.0935689643596616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.117773900771108 0.142507000858267 0.0423872454701575 0.0601088642794437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.124822636734763 0.170197123811709 0.0408999016083845 0.0923831760991963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.492241971614226 0.477667383957768 0.821109789369358 0.528665151961247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138003776025265 0.137070311902446 0.0550938117813504 0.0493822226546893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0844038154223887 0.0986055839529853 0.0188517057450941 0.0295133909548753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.08139009207865 0.11050659064471 0.0172069195088454 0.0418600068601966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.60793489333227 1.57894618435521 9.3485083663646 5.18357518491543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.590056450462554 0.576079648943742 1.05014481510357 0.807216106558931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.318436278569401 0.317010772678397 0.28318234395134 0.265055718453856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.211763376389829 0.219380502650379 0.114394575624519 0.137696721662121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.02753950501607 0.990533328912651 3.98844178968477 2.28010185520948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.301780814331411 0.293299238776578 0.329684326636737 0.243232185248854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.168831583540718 0.186895420325137 0.0958095846667427 0.105249997538385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.149790140659479 0.191517749605017 0.0633208152237744 0.117119949538468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.831007048966007 0.807250265462646 2.53399991902988 1.39801116060211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.229530853156973 0.224459373628097 0.165024951299481 0.12446470570512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129455304568964 0.141400203845448 0.0496711236123794 0.055874236021982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.109543248804551 0.137806934040522 0.0345823768363041 0.0594627957826574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.134335922310214 0.16780342298103 0.0851045164043353 0.100171970921022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0919541840511345 0.123918510480923 0.0508515659260539 0.0440457683032739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119501672782848 0.169950773134245 0.0855592255995796 0.0644084672762814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.154782390130969 0.227548632623207 0.126663007913123 0.0965304210952467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.119191623721758 0.141900103431062 0.0743126218175426 0.0816405055724927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.142409787420634 0.199692308089229 0.138282366759657 0.118887308572494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.205892724346763 0.298397643494905 0.256027538405467 0.219811441875786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269156865031674 0.396893663477815 0.389062957593474 0.376938919124955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0917711113766619 0.109034258947616 0.0468705471988029 0.0399157721686959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.173197734264402 0.216799724436398 1.09642566878993 1.41541284253904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.911066308513106 0.868324830753413 679.83694170721 371.933941136904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.578588100795659 0.723412612311875 26.5897923007012 28.5400046781384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.13825580330174 0.170818428008866 0.0872807487494532 0.101949167874587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0931524437881798 0.1247742192124 0.0513670859988519 0.044301830427909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119886774695139 0.170205497614532 0.085806158533203 0.0645294751479445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.154835851763326 0.227611923998089 0.126756131601872 0.0966529205263886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.120987060794501 0.14367023671989 0.0754114648385335 0.082853940000271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.142820763720401 0.199958514443856 0.138785027167573 0.119243819457912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206071319126613 0.298517084125926 0.256489040159406 0.220163715363065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269221346599663 0.397000709060601 0.38943606330652 0.377434816815152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0931557686826628 0.110621615592247 0.0474729381801738 0.0403225230710922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.173128796890889 0.216515081195885 1.06637862561946 1.34836085323835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.34775336565656 1.66475380762689 7127.91208468408 14936.7686716465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.589465770173858 0.734163446207892 32.1123895952131 34.2097890789849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.147449880997149 0.178670972255137 0.0930098927078637 0.107739211333795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0959815040685546 0.127025075843317 0.052631223335971 0.0450844473602549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.120761270080697 0.170783445946456 0.086347591763489 0.0648131807652764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.155003246838211 0.227732614295685 0.126965495282811 0.0968580033190926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.125555173470804 0.148155305422527 0.0781557556902249 0.0858835334437654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.143658595147273 0.200489107132642 0.139630203051853 0.119813171304146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206340678896529 0.298645368846011 0.25709353689943 0.220586986401848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269320529997872 0.397095630800422 0.389900167985846 0.377937890085645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0968258267587757 0.114661831880684 0.0491806824182751 0.0416386624242058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.173388989427022 0.216463653259164 1.04267425128076 1.29342330045872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.743065474533307 0.800640469974756 236.792810875779 273.822551925007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.608822163184788 0.752186423622031 43.3821230498243 44.5652726321423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.173703650667094 0.203509315626759 0.11371546517303 0.129175360446775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.104386148735455 0.134341031355028 0.0568861974442585 0.0479947968999319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.123544634067463 0.172696177063761 0.0881620306364462 0.0657618878123396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.15571360591125 0.228136555174524 0.127771050467467 0.097431926791925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.139670665852471 0.161857949014227 0.0878633746802832 0.0954065713240614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.146247002261125 0.2021750629213 0.142168632154081 0.121237092771961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.207053977721632 0.298948487373709 0.258635935768169 0.221433386642351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269575223032561 0.39725137972782 0.391023194021682 0.378825346980136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.108444233245195 0.127410795027588 0.055402309583757 0.0467591961658975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.174693180251875 0.216943202649659 1.00993011966035 1.21109108106232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.768307543601284 0.797107972055035 420.594579921234 294.767334771495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.737003175767865 0.866731870822069 244.341229365218 195.355822125034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.321543722562853 0.35791192095655 0.326099885898808 0.333448763157089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.153691930774875 0.182416306814417 0.0938065551549477 0.0762824380072598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.143089714687361 0.188212961432025 0.104050168160086 0.0742403138287392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163023519999025 0.232413359289795 0.136455402006907 0.101746649699498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.221429567469799 0.244678502536666 0.178858851039604 0.168849044113366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.162958691287488 0.215010995766227 0.160956370632835 0.130058451471679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.211652635667197 0.301699342183207 0.268402301404089 0.225482678726379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.271219024682501 0.398056216739963 0.397552889575324 0.382213989064045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.178427502184573 0.202746844976455 0.116788483327916 0.0971439326841515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.186556542339088 0.225597003090003 1.00163159341256 1.09001699039962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.01160768494287 1.08728167125569 2188.09101721684 2692.03252494625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.771683707966103 0.951267399837568 268.592270939648 373.500517104835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.492731660768989 0.542420717476888 0.747216570169393 0.726936622120461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.213241993335678 0.244037184957233 0.161075591078639 0.131877385897203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.169010478889338 0.211587591369179 0.132110162023375 0.0907194248450705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.174933366164868 0.240769100772829 0.152439247729599 0.109766536726392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.31839632822426 0.345658654306928 0.341815203317938 0.312604016900755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.184366285936341 0.233408634150593 0.188300103323917 0.143723116179539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.218058981493784 0.305997204462472 0.281264102080538 0.231100789603146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.273468369671853 0.399330278469056 0.40518136495264 0.386284959199391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.262804729365014 0.2930670381267 0.273070375507106 0.195308017471952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.206315999653853 0.24170442723007 1.24723142878694 1.16074255855842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.817071342710729 0.85653845859532 395.550320479231 357.424698338335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.783194790804625 0.883859690733883 191.087475054016 146.735063543876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.160475933624103 0.194534850425268 0.102086565010448 0.124386717285303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.100262297694418 0.131803318838057 0.0545268100580703 0.0480770735443994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122006137006905 0.172132558142632 0.0868500178441567 0.0661738190761435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.155230510844388 0.228128737704987 0.126886136152253 0.0978589964159606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.132928459451146 0.156980694246559 0.0822409353106602 0.0934912690993599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.144327645209486 0.201915859516916 0.139237350203563 0.122595532100147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.206104256403228 0.299069898429336 0.255767778930566 0.222729700248663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.26909422124683 0.397326054212797 0.388439879554977 0.379704646549355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.103754328479211 0.122581802860461 0.0527682136365881 0.0463065930638127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.176503916749328 0.220399922687345 1.34494576750093 1.936122610757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.777140464904868 0.993970007125267 456.723894984837 1501.45599168709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.616861220688199 0.765812176084035 43.3004040105137 49.5350874491438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.211740072544241 0.247534726995409 0.159996772866892 0.188123010895899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116687591304813 0.147898766165 0.0636856463715246 0.0562556908605936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.127887899563629 0.177077903636698 0.0903799080171672 0.0705077372275432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.15709469213895 0.229507401534994 0.128372151099729 0.101418276447747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.161329230377798 0.185296924983269 0.112129334258313 0.113170425536677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.149347458662045 0.20614475012537 0.142700294249089 0.128120161139582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.207055208474318 0.300041775463837 0.256551237665137 0.227050428744034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.269310380241547 0.397722906706158 0.388437121408729 0.382949726435176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.128195162713776 0.149152718834522 0.0688180858250425 0.0748159728383796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.183282585842894 0.227931693871869 1.87229907822956 3.03021240377632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.685604888102367 0.756451860687452 321.507437529306 241.108227424639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.787187780004818 0.913181349908798 244.332561494914 178.291186199087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.338010006076714 0.382427859795501 0.421306362527436 0.425055368984968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.159210969411936 0.190478549437515 0.105396233498935 0.0843760156249228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.144974276554318 0.191641715904552 0.104122809082463 0.0778063254403039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163762859172623 0.233846195090479 0.134211981606637 0.105224839080431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.233324873377567 0.257359084901325 0.255099084907543 0.186079657922807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.164276065740015 0.217924733036407 0.159847071593588 0.135001321577725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.210739483799686 0.302409526524941 0.260953482945499 0.23033872084363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.270202996572887 0.398426390004456 0.38947438849132 0.386071967946898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.18956732169246 0.21708424761028 0.127965346727314 0.286307172754594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.213716002439371 0.266880080428814 10.3156579671194 20.4447085494626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.583468323149188 0.687046954282987 65.8432373595258 85.0952236873905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.01602994768485 1.10173755058152 608.65281284482 482.017074734032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.912500609691679 0.99076038643311 3.15926812212884 2.386671694034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.361814882628446 0.406718266128921 0.486425095732692 0.387230670872562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237887609374336 0.282634680466692 0.228243790346471 0.164374552239694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.210506274791041 0.271791427577702 0.194847294213546 0.142911820969589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.573412058149636 0.60753401133751 1.66700464760849 0.918093198872738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.243075168902661 0.288491242073985 0.28964304458798 0.203332454799908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.235240291220593 0.32124074291632 0.295405176351191 0.253049259945355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.280562631660815 0.404440535109971 0.409925355995865 0.401955398185463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.477677482294191 0.537762913307844 0.825512230227704 4.24540835796218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.290570398182182 0.296886923915681 10.9418121465483 1.77310666397403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.7334766544461 1.79831297532535 18957.3559153612 15712.4016507728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.723647759049808 0.835617443313859 97.6641204613248 100.044094136486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.51260416727446 1.609147135716 8.29974961061568 5.82007588779477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.576231248228092 0.639097107006067 1.10054670832961 0.974481375573482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.342683159000622 0.393649518309112 0.408149691491258 0.336429057441069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.268418654035993 0.327508781720519 0.27635226740527 0.216448945635673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.94540934223837 0.986944270096692 4.2830249321171 2.35235848205087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.336326909424769 0.380436898868514 0.471944886424994 0.34462893748909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.269461133003971 0.350928643332534 0.350478232254254 0.298353939980487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.295725889076678 0.414898336967596 0.435766789727827 0.42785714293134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.795355422550795 0.870313056565921 3.09276908390122 6.17813890361826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.357239035600648 0.375270338322697 5.80676755827638 1.77799818610576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.716315822242764 0.827368535940833 360.14030331918 333.392885508494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.798147427106546 0.988443094817949 129.273085004495 184.050817366836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.052022930246087 0.0528260395311452 0.0103450954656553 0.0114466058885688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.028860193682214 0.0320623338807662 0.0019772654877635 0.00372988261321817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0279221750373052 0.0342084510805116 0.00132710867657462 0.00524802792349785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0406497505385843 0.0493730603413505 0.00229610971381363 0.0115692870182056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0481434315913759 0.0478984691996403 0.00688439215040854 0.00745021168047477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0400752538881375 0.0455195697352059 0.00400851021542083 0.00671361356140574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0502473663315304 0.0610391376116299 0.00556715616390109 0.0140488842375531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0759412876321107 0.0903136949753057 0.0102647858146625 0.032524601779842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0312973641560166 0.0324444978049389 0.00315924742110975 0.00367300637138029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0198927041216969 0.0253805039695062 0.00069026426707309 0.00327658964324404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350195577339904 0.0464204278602809 0.00183373902981862 0.0112037501674308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568266465441185 0.0744205695694738 0.00418925384432927 0.0280227287376397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0585736530376249 0.0585132405513127 0.011896692277556 0.0129467310535076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0305524813514801 0.0333993114843173 0.0021742649454516 0.0039707037458995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0284342912694941 0.034700570574612 0.00137475955117619 0.00534081177074189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0408562783781859 0.0495416437301554 0.00231742439363665 0.0116129055264006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0502880749723843 0.0496424994085744 0.00739958739430109 0.00788378554847536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0403038279728023 0.0456750498108981 0.00404933217455053 0.00674800094529091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.050296166250012 0.0610579655035755 0.00557791857614781 0.0140511653952916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0759493063130915 0.0903194403615224 0.0102677282014424 0.032524751631241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0340605368692738 0.0348403646706634 0.00355539121499321 0.00408468418977718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.020295990938449 0.0256991036403051 0.000711771431808026 0.00332175159085348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0350805660419023 0.0464731355404564 0.00183982852760476 0.0112165993574643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.056855127797531 0.074444703411452 0.00419246515578863 0.0280361224801494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0729523230071873 0.0719908097293072 0.0165421064737477 0.0173577206528102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0347452308340248 0.0371409056033538 0.00277442597354158 0.00470195909309386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0298639640958312 0.0360605424329846 0.00152063753027329 0.00561149778951833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0413504136614802 0.0499802435470914 0.002375450783012 0.011735404992885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0558265710969174 0.0548489541634451 0.00897245634006601 0.00933095660092823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0409744637347911 0.046239938700712 0.00418252426869451 0.00688222919038962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0504295510525725 0.0611625970151235 0.00560760596677519 0.0140803840843983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0759803604779789 0.0903467117132044 0.0102777849486233 0.0325362376993225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0406430898432274 0.0409791038853451 0.00476776504400977 0.00528517412974827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0213018010546707 0.0266016768132637 0.000773560250396682 0.00345403550925116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0352453710781962 0.0466194152363437 0.00185543231362272 0.0112538728547902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.056905119802065 0.0744921031627811 0.00419984652456473 0.0280586684017321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.111097453859067 0.108815559929333 0.0354158812820158 0.0343070039059899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0476184393361023 0.0487449367744896 0.00525662651133837 0.00748931406429523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0348725706546003 0.0406710005926174 0.00212484524534583 0.00662447218151421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0430437292112516 0.0515426200069119 0.0026026249931431 0.0121969647467765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0737034162205342 0.0722046150194622 0.0154278633230128 0.0151601902152777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0434539318393282 0.0484233126434646 0.00472142234480696 0.00743591172612203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0509431191574263 0.0615944160024675 0.00572362359869343 0.0142139490805517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0761227162818209 0.0904696711840292 0.0103198902418854 0.0325943165074668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0592130299240105 0.0588632975474428 0.0097082307113905 0.00991284310602885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0246328758975638 0.0296726438890481 0.00102690125730406 0.00394432788923436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0358314382977444 0.0471559824752781 0.00191527433583577 0.0113953587286269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0570676633414254 0.0746521437217356 0.00422718869869801 0.0281298695243666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.292122865511246 0.285348876682998 0.253635773735945 0.199398170335118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.115894992776259 0.114032075924075 0.033956130707509 0.0351606954365448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0672414306885525 0.0701561353636506 0.00929800714995542 0.0158807303393118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0574617809044327 0.0648109057939467 0.00518022468702448 0.0166980861710251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.175385549396813 0.171294695893831 0.0909263692409529 0.0745611700745776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0638128730217439 0.066566669472873 0.0106636719195727 0.013211744153091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0560306316475823 0.0658869118696166 0.0069612213480434 0.0156985609150833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0776998450915363 0.0917139723909823 0.0107809090131759 0.0332505890995963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.15139540530196 0.149436707867681 0.0671871941885401 0.0558684831999769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0453933357922421 0.0488952978534806 0.00406477942353527 0.00821386741571767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0411307391836139 0.0520628454715582 0.00256722575057731 0.012784362604669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0585050779643425 0.0759544371801502 0.0045065111886149 0.0287037631490819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.480484169489346 0.469699715422915 0.724195501292383 0.501874214827349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.189221938929217 0.185339543523804 0.0948607741072192 0.087259464605806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10477366626527 0.105550283720189 0.0247883414918537 0.0326087500494693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0781031922809214 0.0834719885847607 0.0108309033883203 0.0246740138018369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.286431716735368 0.279557440845527 0.25580769633811 0.186616347580274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0919816393044079 0.092541263348103 0.0231365824609186 0.0244503856936406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0644227227943461 0.073292571445168 0.00945303988820189 0.0186035824290791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0805672908580725 0.0941982238747406 0.0117135395817568 0.0346066888975428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.248857698281449 0.245338245546476 0.192769963690419 0.141452775905494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0696390327337738 0.0719001542781533 0.0107664867116488 0.0156646548605415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0496600198852952 0.0597744290690688 0.00397879666152358 0.0152467405269718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0610957348247637 0.0783304785643272 0.00507057582535235 0.0297488570733888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0948868781899132 0.0947688296868818 0.0268735476278415 0.0274728394469829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0419903857856726 0.0442083710591032 0.00415360781535436 0.0063524168315083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.032820878127434 0.0387185310201792 0.00186787771722924 0.00619050223633834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0422595285131514 0.0508401194316096 0.00250277516047376 0.0119894071268538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0664586016254542 0.0662955371677892 0.0127783048473905 0.0130892044244968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0423230914965712 0.0475873093741329 0.0045144849276423 0.0072453069300735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0507659649501665 0.061426941171098 0.00568351306416518 0.0141559915680837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0761241346207725 0.0903736689679307 0.0103228846601959 0.0325460603538788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0517451685924718 0.0524058311770739 0.00754811139159039 0.00798937150823882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0233468777668797 0.0285611443988755 0.000925570245152301 0.0037591873038016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0355350743816972 0.0469929594300783 0.00188711563983967 0.0113452800539181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0568813790667447 0.0744533705809415 0.0042168955714472 0.0280279395843773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.161889060489257 0.161430404699015 0.0776879323348364 0.0718345319440859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0661561542579202 0.0671655544099919 0.0109221976512024 0.0135863953648454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0434077092715504 0.0484529515253266 0.0035602684758194 0.00869590993142415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0464660925200055 0.0547299966369646 0.00312663468551958 0.0131957860280958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.102587443567471 0.102372266619971 0.0310543066333998 0.0291658329794205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0484370128352597 0.0531934192359531 0.00603707060918167 0.0088346714230031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0521339183902026 0.0626376031229298 0.00600777316315929 0.01454845051566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0765673483279472 0.0906930813604726 0.0104608091552964 0.0327013649188008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0859285040220355 0.0863438232005313 0.0210474167904135 0.020143013285457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.030393331599679 0.0350594332004474 0.00165473405855631 0.00496402691105233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0370264655825546 0.0484117355020068 0.00204790000363451 0.0117251978797198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0571869754543565 0.0747121429835618 0.00429326765746766 0.02812766164155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.306799850407763 0.305665848350366 0.294028423550367 0.236163418543071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.121078342945985 0.120984936561828 0.039419486439029 0.0408049145686439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0700525491960309 0.0733933007055602 0.0107840208885316 0.0175816105080901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0594990039947711 0.0666368684674237 0.00576910778995398 0.0175192990886593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.187217995547976 0.186590442715393 0.109199199733097 0.0903050864867823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0670531211692556 0.0703881215383692 0.0122286807280715 0.0149244479202541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0570431847197482 0.0669486759711367 0.00729155984725105 0.0161094765591375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0782029584906903 0.0920312490604595 0.0109799187177283 0.0333969264224745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.161682389858855 0.161398998222374 0.0790067984545567 0.0658560135909125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0479927453348218 0.0515614136296872 0.00481102637334515 0.00909302854849824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0420676180408568 0.0531155921382767 0.00272163761177493 0.0130979586892498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0585870756457837 0.0759311584059646 0.00459942273143908 0.0286181696715716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.909472948092196 0.906125475947882 2.94649101777741 1.77415877956931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.351460877651741 0.349149343793789 0.371724129778786 0.302919968178936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.190190661116924 0.190447019785156 0.096030832390302 0.100299835469659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.1300218469441 0.132951724799898 0.0378269848598392 0.0557047471393071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.550253068141853 0.55008130613188 1.09142100593354 0.688290436058842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.164573037913693 0.164923868892987 0.0847269412884266 0.0765384507879606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0916028420255268 0.0990939764510471 0.0216469294157265 0.0318379461424936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.091818997143359 0.104820467087899 0.0164896002481263 0.0411004240224316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.479068630420779 0.477950491223825 0.803494487711556 0.502915031407899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.127989255936961 0.130257719003531 0.0437986495356095 0.0462751109435797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0744156177335478 0.0832179517781415 0.0112964542755104 0.0248773031885032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0718240500364205 0.08725955556482 0.00828587638217257 0.0336922366800046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.52720095224914 1.52447714461882 8.9180017688229 5.43113105458004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.584792612852186 0.581588829295259 1.16545685786428 1.03345654611932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.314480840368326 0.313219136001648 0.33938121869844 0.324102127944685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.208442284147435 0.208048328707823 0.154223606715528 0.136040654190513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.94630240486402 0.934065315129147 6.68364744935962 1.87742072140605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.276818462985386 0.271827122986396 0.484554395868379 0.20105912591065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.139570684534986 0.142550370740122 0.133803051983365 0.0627548139971331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.11533248990073 0.125625354587799 0.071752089411491 0.0559990375968709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.816111896004383 0.816458129054496 2.56557095412467 1.43807291545885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.212910399035907 0.217824549914571 0.135094524048463 0.219157127611352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.114450787230852 0.125352701228678 0.0435188278568994 0.16885564398337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0926391360458528 0.106388991082644 0.0183489310513968 0.0696168663681241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.035799808924644 0.0386497133673643 0.00566356600651765 0.00655848634250631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0143999155881927 0.0151458394160343 0.000817076678034578 0.00130283052950938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0109061151227422 0.0100253360329313 0.000472711462057977 0.000763244267513442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0127660739355075 0.0109366657786081 0.000599850152308386 0.000813149717352353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0244809105483256 0.0268338939648341 0.00228835779383571 0.00299741934239673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0145067441982165 0.0140160113113989 0.000813743034603047 0.000990342403663186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0174432333228997 0.0154482490933937 0.0012758570619636 0.00107518957580808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0250167302485918 0.0219148642202649 0.00243479506753776 0.00188912080236757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0189004597494288 0.0214174461919621 0.0014971870624145 0.00191844190739714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00745466633523797 0.00706675508797186 0.000243426064577097 0.000587062386438291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0102311554379189 0.00849204154017186 0.000397541223299552 0.00065596110525719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0157336927521016 0.0132897015950514 0.000803909698784264 0.00100035560717629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0455107491713578 0.0496747015473366 0.00779931514994067 0.00899753445887777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0178740648372948 0.019301302648721 0.00108653895821266 0.00165069731188408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0124905538109362 0.0118766450576513 0.000549232731793682 0.000861252956738413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0133837223987327 0.0116618632198881 0.000629373611697888 0.000855779084467707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0299830631437207 0.0335188013650443 0.0030960579941248 0.00400843042018748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0153865126303934 0.015207718353737 0.000879436388526345 0.00107962314052908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0175788587939436 0.0156622765007648 0.00128215778328662 0.00109466894765612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0249936376586653 0.0219868868808158 0.00242833915625335 0.00190530967432035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0238185104935147 0.0267904159323256 0.00206824182729041 0.00254059598254212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00848380510155292 0.00842601402622868 0.000275315669428095 0.000637637888250742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0104376472408895 0.00882309099155785 0.000404101357510196 0.000670806251655288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0157592106529061 0.0134201129336823 0.000803642319933817 0.00101020522383114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0638189525892104 0.0701745224719145 0.0135787831466542 0.0153064522554636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0247530430242927 0.0271618684565789 0.00182915775441144 0.00257997806345862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0158070491448703 0.0157531784351065 0.000761580860632828 0.00112868563447328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.014905822188188 0.0135018650171948 0.000715488447722164 0.000972670999207979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.04088831786888 0.046154245952775 0.00536654521351985 0.00670460874780507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0177447548418848 0.0180778811176164 0.00108590580260754 0.0013287328937336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0181245316589328 0.0163790907874527 0.00132509383988113 0.0011530374083156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0250904370740752 0.0222102662458065 0.00243708733063029 0.00193791164797825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0328193107960781 0.0369940775854272 0.00354911403856361 0.00420503245611152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0106254295929893 0.0109896571347574 0.000366372525228015 0.000764203196949066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0110622660200657 0.00966773871384539 0.000428364874318041 0.000710408122580903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0159402296424163 0.0137172682048297 0.000811674934588499 0.00103240875220066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.108186870685428 0.118536016256666 0.0369128511650184 0.0381553271277401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0414195722561077 0.0459216716637714 0.0047516898041643 0.00609072518580193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0241677970406103 0.0255832480655584 0.00158436446687164 0.00215209053426843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0193283228532426 0.0188377004767734 0.00104921700041206 0.00141262945780157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0677061348558527 0.0770569649941094 0.0146115146880168 0.0166929676152262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0244079776881376 0.0260411191438128 0.00189472321902444 0.00227940163057518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0201163216457337 0.0189171936193061 0.00151338026311165 0.0013822151117872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0257191779105069 0.0231368292081876 0.00250475105292599 0.00205445762307973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0543581592456966 0.061606136282373 0.00927692057133755 0.0103052689791751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0160415957065574 0.0174183064497288 0.000726167152752916 0.00123284744396572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0130352013497221 0.0121721816464447 0.000527297595834916 0.000854734611862421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0166741491751849 0.0147783149105952 0.000851348181480749 0.00111383966091184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.304568534841912 0.326002434181762 0.314050857979597 0.242798724550718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.114729806133544 0.126972834351717 0.0370332132101386 0.0403780737705406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0627336826624254 0.0692295242370757 0.0104413935902311 0.0124522602788315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.042154432260179 0.0457662314095588 0.00455791297132858 0.00580213258456836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.191984274853293 0.211969226918069 0.128230208556782 0.107788247935578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0580729088836008 0.064652947812572 0.010665717017026 0.0117745334665108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0333593115543994 0.0344934617067375 0.00355166439232648 0.00369270582351631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0313657119603738 0.0300531603538571 0.00333778593292171 0.00310005933411562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.151145086085074 0.167557321818836 0.0768919421668064 0.0643959713541912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0415935788133562 0.0463234737944928 0.00480047886901448 0.00575510245057443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0242817433784079 0.0259272522607265 0.00161901261525512 0.00223436036514447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0219750098717945 0.0222090290439641 0.00130371154642558 0.0018753831224117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.50935368167407 0.535783984525492 0.930522254373033 0.603557789722644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.190391398601351 0.208507026757303 0.105856831044121 0.103371944230898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.102986254373645 0.113547590722026 0.0287556930957424 0.0319901619199022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0671471259441462 0.0741346348855956 0.0117098701961315 0.0142087699883487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.323182207307316 0.349702952897895 0.38570948964319 0.272664993811704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0946786179406553 0.105087754917393 0.0292393508979262 0.029717507352704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.049114056899973 0.0528432370271243 0.00766699455180502 0.00819509550255689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0393914645756527 0.0395548068705076 0.00502308089272805 0.00502237177528253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.253528826239843 0.275854725387813 0.231682745507026 0.159889412497888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0684861698162031 0.0757250179786233 0.0136262225710653 0.0140498868474143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0372648637192939 0.0409524685883824 0.00393703456695282 0.00477326910137592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0291182208837587 0.0316883058737832 0.00225839944998385 0.00328332571487247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0893148315770231 0.097442221091434 0.0258119758249332 0.0279479503771135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0341928033423786 0.0374995190718773 0.00334731716284263 0.00444776528157979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0204478780593402 0.0211448887547602 0.00118950016318157 0.00166891309828172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.01737544412344 0.0164478666122878 0.000895579862233468 0.00120673123546438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0567794961447329 0.0642458402142992 0.0104256874802344 0.0126996715200709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0215304858566018 0.0225002194815815 0.00154033746379475 0.00184724649693544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0193313910361413 0.0176528117922841 0.00145526446926004 0.00126877222677531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0255819031520117 0.0226878512491751 0.00250475372686337 0.00198717946947527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0455398139319059 0.0509029279425825 0.00662227238146269 0.00737083028828325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0137278535638012 0.0144529257600418 0.000561026982286412 0.000992796858606304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0121891781424011 0.0109856880421476 0.000484649415389063 0.000781998589514693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.016351145559151 0.0140424155752996 0.000834918605932664 0.00104484485231365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.165472626930959 0.179375329646681 0.0911628955929826 0.0848732347657244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0626705185476266 0.0689466562754027 0.0112507394895043 0.0133908093234668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0351033385607645 0.0377132973802318 0.00338729124776727 0.00426321439187224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0256563405610128 0.0261246989831792 0.00178337052789418 0.00230650327192985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.10476049335584 0.117724993818776 0.0371142900000293 0.039300806170771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0339966445171691 0.0369411704644361 0.00375059015063922 0.00439241788843067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0238303652835871 0.0228784777992915 0.00202143406942212 0.00185219021639291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0273336726521863 0.0247171956272806 0.0027546956269566 0.00224335028619997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0836011714255746 0.0935501508774594 0.022375622130008 0.0226619034387367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0234226656419104 0.0257060946720664 0.00153998018568234 0.00215086153860689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0162680756435936 0.0159793500752277 0.000762035189289925 0.00114379401521612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0179921812379473 0.0160460795236103 0.000957413586905045 0.00119535337389789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.325513437377086 0.348056820403489 0.380444345466874 0.285681286874401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122435998784736 0.134088662455808 0.0446113676769644 0.0471497990566633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0666168262571823 0.0725945526937936 0.012484923553836 0.014309502904696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0446903156500818 0.0477814528690144 0.00541631853153017 0.00653939332511009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.20745805939949 0.228745300460004 0.15709767412055 0.135546178811411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0620224535133216 0.0688206962032012 0.0128566203397346 0.0143266578713498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0353505929962187 0.036189158143527 0.00425720002583878 0.00412891512766077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0327090342637745 0.0309225714241662 0.00377194567612312 0.0032033916250026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.163751171011683 0.182130353944787 0.0909732313609696 0.0779356168681994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.04435743198352 0.0495010437526241 0.00566736727934062 0.00656101918013851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0261177386969726 0.0277029997390107 0.0019191764362796 0.00250356325273953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0228935559968621 0.022046720788564 0.00149526321567073 0.00178888475578893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.00027252981311 1.03498573256579 4.01212425379227 2.12696519747112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.367242079653225 0.393179506217216 0.444511944510411 0.356530366548901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.197191214985423 0.212636961688161 0.117250614364537 0.111367563267752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.1265921029115 0.137623832252135 0.0461874260652827 0.0485595777511233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.645786740109308 0.687064507464451 1.72153548453851 1.06125388605495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.183975483692437 0.201617046374209 0.124544980686596 0.110884550643821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0901042870897267 0.0974938684481813 0.0294814407344483 0.0270777759828591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0629815276534856 0.0657330648408942 0.0148128284898766 0.0129416256185536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.509827586566088 0.547960705201514 1.02492723465671 0.583879070116518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.132786546766736 0.147581611707292 0.057103631583282 0.049380591978217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0710511307390142 0.0790138857558844 0.0161897346995332 0.0160197008113823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0492415801747466 0.0535206164008612 0.00806352973723006 0.00780849783253569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.69863873115076 1.73485650642783 11.8410721542479 5.55915059730959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.614531400871534 0.648621077667419 1.30190079798856 0.900653045511567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.328147298667746 0.349389748786228 0.336083409637576 0.28375284707854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.209474106038445 0.226034230098972 0.129404455037572 0.125185042747508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.11319149964237 1.16749786097441 5.35975126692399 2.91627570587435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.315214727679738 0.340864792051658 0.393180550558064 0.301390696196075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.151220710291352 0.163014163216921 0.0885357687566798 0.0727386744653144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.098912163636526 0.10612222119013 0.0385848060985023 0.0326374848991467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.888553201435135 0.940260776591371 3.32733042003942 1.59315823684211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.228103622779862 0.250153493729736 0.18318889079109 0.13286216838158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.120410269159039 0.133321458594906 0.0508680157840302 0.0431359831003072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0801843615393488 0.0892239597342098 0.0236240721179762 0.02046570931618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0348862248904294 0.0344764994953247 0.00450063150019237 0.00468149306861234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0141658311048574 0.0135829704488751 0.00106859792845061 0.0012607372555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.009464082918752 0.00822072429090789 0.000778087102195716 0.000886347076782331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0095931661666185 0.00680224316475532 0.000974492122261278 0.000832759156328584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0230068880971224 0.0229140536687955 0.00225220866999821 0.00252404830479231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0115841771150035 0.00869199006321313 0.00105411009103418 0.000944470569150036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0131512556413824 0.00822282376536263 0.00152949674932573 0.000917189137798391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0185307072071704 0.0114208282148431 0.00309565071580097 0.00120605089738865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0176179491991995 0.0189457037881385 0.0015233046200465 0.00178843710266475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00664101446059024 0.00665101438412588 0.000647398160258036 0.000825918561077786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00753402313430959 0.00628127595498852 0.000937058186934766 0.000861408062720732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0106254869902374 0.00855943917274989 0.00147002606371365 0.00103197090841845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0431105126761107 0.0434411843585325 0.00613018031111364 0.00643735999917735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0173777901586354 0.0172955116444153 0.00131307451478238 0.00153535859139226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0111520162657474 0.0102162784135997 0.000857750220297529 0.000966112166657783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0105417525483709 0.00798035007239649 0.00101492970464728 0.000866701520865639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0275015544147135 0.0282519970072788 0.00284264170077161 0.00321484050387067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0126229465806483 0.0101995668134768 0.00112013557016097 0.00101333393031429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0133844154685036 0.00858253155178118 0.00154823494091183 0.000930563511138718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0186131050547895 0.0115092408745552 0.00310750489531259 0.00121199800660071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0218333643599479 0.023318958844266 0.00196438849872205 0.00224540217617235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00775693498639144 0.00780172474323678 0.000686741802741439 0.000860067782114164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00798569065858439 0.0067634448142512 0.000951568916322912 0.000872147496714712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0107965947470562 0.00880138075442441 0.00147680888065626 0.00104172171958306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0592634488284668 0.0621462613858322 0.0106408647263784 0.011399417006778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0238149763292769 0.0247379979816002 0.00199397965271471 0.00230926505075485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0145502368484431 0.0142171932984473 0.00107290274204332 0.00119359178504506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0124579923545149 0.0104073513743498 0.00111696614921528 0.000962043593339564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0371224453327725 0.039381700912291 0.00453823104831186 0.00514962023093563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0151322070111582 0.0133034182609653 0.00130482969278365 0.00119808198292378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0140653869903185 0.00959859342447042 0.00159857422327824 0.000970945062308924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0188382741339264 0.0117850420321765 0.00313263901073155 0.00122825239620888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.030312232834993 0.032484826740002 0.00317573785927158 0.00352570807816648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0100033207096819 0.0102290460633421 0.000787993039893777 0.000957167602785656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00891005267265764 0.00783487801742276 0.000986625788967999 0.000900261959904416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0111864926438988 0.00931226232843122 0.00149423952731189 0.00106015371424795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0994915822018625 0.106855864528079 0.0285669663825112 0.0303537709038968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0398559411576701 0.0426546847895594 0.00467222200556495 0.00533430656915992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0231649395048912 0.02398349746072 0.00190005914427804 0.00209598113621142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0175832267173768 0.0164713862584766 0.00149161210552511 0.00133837933014697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0617964086489142 0.0667545965793371 0.0113437313760087 0.012593498406354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0220949859360874 0.0211612863796412 0.00201691684396093 0.00190894093287272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0164176952729747 0.0126656387502954 0.00179008400829098 0.00113150053964258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.019671495472384 0.0128852677447653 0.00322144661807268 0.00129297942160742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0509769970968338 0.0550006125801607 0.00789463282901411 0.00846565566202483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0156824721680797 0.0163470705476501 0.00116647359888695 0.00133825168621998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0113751989936728 0.0106525813331674 0.00110789381755032 0.00100587048335427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0123388932058703 0.0107921422561553 0.00155451757019693 0.00112112112352329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.27815671761702 0.299326941785078 0.229818669884719 0.213154493309538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.110616264105668 0.120352616672395 0.0332613433300711 0.0367788606412817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0618090985102962 0.0667413617278595 0.0104984604654928 0.0116867689440729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0416797490481622 0.0438892822160272 0.00516106233999383 0.00537562035365794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.172133352835404 0.186390907352666 0.0871807797092171 0.0866537689784934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0554228894729644 0.0565896130634341 0.0094298231109152 0.00924697592519721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0308833103345618 0.0285895740084792 0.00369201424871875 0.0028502694249128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0262869093447176 0.0208474752881329 0.00404795041992127 0.00197901549033628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.141686291101684 0.15272131381563 0.0597245506136828 0.0569359329614034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0409072847382729 0.0438462137926383 0.00500146723825539 0.00534089991101186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0235148223572526 0.0242187311326029 0.00223260847980021 0.00209081013328948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0189523820642096 0.018930356855936 0.00208512521676146 0.00167899254565449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.461265388961037 0.494977066447348 0.6617299327471 0.543070526479014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.182822198369955 0.199179855968038 0.0915123557749059 0.0977213921872295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.101481048311311 0.110348164250684 0.0276699996725254 0.030719564700275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0668986126643139 0.0721149956100599 0.0123140131730657 0.0134580712142155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.286049997954436 0.307545305239304 0.248787671993016 0.223807293884668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0903108677030297 0.0930580718865273 0.0243852482651251 0.0235966890225038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0472612750832612 0.0457685018938622 0.00737415008159444 0.00630651089888884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0351154778517171 0.0306387867466321 0.00556403163263369 0.00335760450964547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.235191283128875 0.25184110615047 0.170789563104903 0.145943260635454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0667629715565949 0.0721520458491927 0.0126745877101146 0.0132096050258295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.036514199449888 0.0386373854932558 0.00440101887047676 0.00423507560635211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0267300098435981 0.0281487757541409 0.00307042653005921 0.00274092082719766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0857177558120473 0.0919230426409745 0.0216244620632664 0.0229557857964429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0340489409679075 0.0364124211675351 0.00359558333829406 0.00412345223287859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0198966933305004 0.020557048873716 0.00155764112230406 0.00173534321827104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0155568918545804 0.0142372568026317 0.00133147959074392 0.00118005026610878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0534776400130302 0.0570909669691639 0.0087561104103938 0.00950920159727356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0195290868758692 0.0180767543563452 0.0017382360586797 0.00158388506467767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0154782926083141 0.0114268159030239 0.00170836361960087 0.00105998440525068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0193740099472846 0.0123398118049054 0.00318611807350059 0.00125641300806291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0435968231181181 0.0471452740968445 0.00589852515145719 0.00647752241807282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0134607689401799 0.0141743359440891 0.000993904539953389 0.00118996831472147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0103713940768623 0.00968902203768651 0.001049777936281 0.000965829088458498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0119728331740994 0.0102343253879173 0.00153315449581116 0.00108625012333835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157133620843536 0.171596502399961 0.0727079964028807 0.0754238757538228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0621800382996707 0.0681318437527639 0.0109969967488519 0.0126226120871845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0350545223386082 0.0378768939929683 0.00378786168217836 0.00429026020049383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0247251591119502 0.0251608065754282 0.00229547709575134 0.00223570008643284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0975552162334547 0.105936817938591 0.028216113920123 0.0298643179852665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0323784300682587 0.0321324011298534 0.00365641077350191 0.0034927117528045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0204905706845946 0.0173997672629323 0.00220686639961973 0.00149943362822815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0213798188817308 0.0148061245166062 0.00341464239168708 0.00142084192545478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0799297512515889 0.0872057180609376 0.0188476397684057 0.0200156262707632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0233634772955886 0.0253001453396176 0.00197154840854278 0.00228419031675547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0149782256421873 0.0150517276772398 0.00134849812821521 0.00126994020076459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.014345859820028 0.0131951393340853 0.00168506501564398 0.00122902299689305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.305376660442413 0.334593355488111 0.285581759924373 0.268249129149889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.120663912502281 0.133289982975002 0.0408098485968584 0.0460247643084193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0668785495299603 0.0736920779106605 0.0126259722149955 0.0144980976213107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.044741933229835 0.0481134341937355 0.00601714328300363 0.00649519614384639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.189838792877166 0.207197457823097 0.109033474177338 0.107759380114743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0601736616860579 0.061778567499268 0.0112205125463352 0.0110765683893632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0328948848291722 0.0309737290922143 0.00411769846971464 0.00328445154135275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0273277083863716 0.0218298369517802 0.00425159610858741 0.00209772401329873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.155703665674184 0.17044031043944 0.0725709196771864 0.0716156245950788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0442817962627167 0.0486318836458479 0.00585256666110854 0.00662281938531159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.025292367066234 0.0268642270807444 0.00247855687230103 0.00248313044915425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.020312265137986 0.0202013876913123 0.00223411546493718 0.0017761610343903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.930157403544445 0.979303292439805 2.97512724698192 1.9436614557619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.357329295882293 0.394580016194076 0.371950628195139 0.377109694096628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.196574772927056 0.217983621672662 0.107773353420383 0.120446483650135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.127736616715225 0.141469980573937 0.0449635776244761 0.0516156129169535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.57764606032801 0.615360591335998 1.11983190359385 0.835291768656542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.176100263680218 0.183981869762205 0.0955789742416652 0.0902852691119179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0881855687763056 0.0890016556426942 0.0244063246071181 0.0227466736658146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0590079556709072 0.0557795215503314 0.0125276880436569 0.00965627148476838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.471432118433892 0.50661848378618 0.746007919496903 0.53896408620088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.130349107305514 0.143460735633438 0.0494123328064195 0.0506095365301535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0688127231440087 0.0763390344275178 0.0145485324496845 0.0150917285767542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0479688099193391 0.0519786572035363 0.0078344310450019 0.00748990482576129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.5844065670189 1.62921376721347 9.04056550463602 4.95239699687474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.595905310082489 0.650588811060475 1.07473922252371 0.969866079596119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.32617450137029 0.36036782542133 0.300175128192657 0.320278536621141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.210945233400852 0.234024689243734 0.122115259886887 0.138999122781982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.993424604612115 1.0331113110122 3.53905598338926 2.1940000815371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.297707776380986 0.311050726134845 0.285539796343701 0.249069839635138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.147190061413534 0.150093037822352 0.0684287629865605 0.0631203490267847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0944973796797443 0.0926258707558392 0.0296544874289513 0.0256553735324938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.814634170489673 0.856078577961812 2.38942231830856 1.38507162392572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.219498556927541 0.239923085722961 0.146152755845667 0.133750453257393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.114223760632127 0.12734126347715 0.0409690032903639 0.0394246876729716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0777299771046854 0.08586130008888 0.0199867230512274 0.0189421766192679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.16988147037652 0.158997585251314 0.129380388440643 0.109140276533441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.13230435692952 0.129559814580167 0.111248257831461 0.0665245413129376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.179102867459311 0.177264568243114 0.189219416950422 0.0988877150731892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.216962006582276 0.224838399771302 0.242631142565108 0.131373686902149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.16110054868961 0.154235895006895 0.14380155969159 0.114360553518687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.209792740088542 0.209599848053898 0.299515724970055 0.194501942550854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.299142796318586 0.302062326084729 0.497301061842173 0.303354262571135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349676140374804 0.37265049090817 0.579274978736381 0.427030837232463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.122744414489161 0.118779554155933 0.0954646055759526 0.0564213983673189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.348929950178274 0.338438447094681 50.1240397404059 69.4514645608149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.92571494096495 1.77606911088578 8850.07655572257 6644.72488789696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 35.8337721152241 48.6574247293396 21975747.8982833 42089963.3084654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.172338571036481 0.161672455601386 0.13137979720487 0.110694065899699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133154694242501 0.130334420394954 0.111766655693178 0.0667144641858594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.179315563132707 0.177391079530165 0.189402060717825 0.0989072486901871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.217032028074304 0.224875001200164 0.242696758066753 0.131331575384678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.162170286531873 0.155409384563046 0.144567129413018 0.114786537188877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.209954024964334 0.209685697875716 0.299719689091689 0.194474193530007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.299166520838301 0.302068758157808 0.497358643852685 0.303194980729395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.34967788728957 0.372625662948598 0.579235452447849 0.426758757736708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.12400635855374 0.119919533612414 0.0961584700496275 0.056714174217371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.339235914588437 0.3259765967392 37.2492796404724 47.4654203082126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.60025771241396 1.53258645906389 2682.13192583249 2618.1383473596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.36967425786435 2.79091203574464 33009.1040180218 15208.0483142944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.179296580040782 0.168671077348206 0.137134896257414 0.115341662315548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.135284182673513 0.13228103728767 0.113093804771289 0.0673002108606849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.179830978100555 0.177851235481342 0.189844916451682 0.099047653909624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.217179001176008 0.224992056179699 0.242849125806341 0.131342847678969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.1654471793263 0.158717931960342 0.146922806853744 0.116426391577899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.210319297089494 0.210009800233745 0.300125295383734 0.194563193192879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.299229387310232 0.302104894636404 0.497470102360783 0.303075217187659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349699589995197 0.372614436280057 0.579224260005468 0.426518081856996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.127509412460266 0.122955017124519 0.0982571741427519 0.0576944798005478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.332720850609902 0.317699857976741 29.5519512891384 35.1384790321093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.87334526166189 2.0771035968445 6134.67553747523 10465.2875722065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.24974691895262 2.2628052084703 1542.83513981646 2059.04326008747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.203166737897564 0.191672480107247 0.159319302931636 0.133352659097239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.14245617269849 0.139035089276499 0.117852618161815 0.0696408821837099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.181689571000314 0.179668478878255 0.191468287061658 0.0996858042012075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.217691338132755 0.225479216934203 0.24340623151188 0.131531794194321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.176965062414725 0.17000569488147 0.155958705439129 0.123113327075182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.21170428931533 0.211373826555375 0.301572668030122 0.195107784447773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.29945299465408 0.302286251656441 0.497836654376791 0.302971603083337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349782761711554 0.372637244644757 0.579268591781589 0.426143591946253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.139099469124045 0.133334183098331 0.106013136399579 0.0616679353785101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.325075324851584 0.307924446538891 20.9458101071643 22.3329851235866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.40097636396868 1.39770431684162 1343.52790242764 1620.88888812781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.65122316588325 2.60722489474279 5418.86256526797 3792.36743698631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.364170359945724 0.357149462100382 2.87643391776855 9.97742863467207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.195891863826123 0.188071049535894 0.730388969685488 0.268199045285392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.200512940962484 0.19691244942233 0.367128118946379 0.151813508652291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.224739020789984 0.231801940820148 0.302001114249989 0.155456065296863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.266937493217601 0.270870469830123 2.92669463204297 13.4394860726717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.229979456895773 0.224362341606465 0.841047335290129 0.205960061331112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.30527390748332 0.305630008643559 0.699726089534037 0.320871906640225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.352708926779033 0.374137134112661 0.647080190614805 0.438831982293729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.474469444348538 0.203985008846752 1319.9329233041 0.263085686584018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.348704196046973 0.304649266235683 18.6820319492879 9.08071378850725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 2.20362242298119 2.03243723490078 11817.8918368829 9368.83673056349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.01825699125444 2.56359301128803 15754.7217728803 5959.38297165458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.526765688757445 0.502127230374981 0.817142919009756 0.660406694408083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.249482364133559 0.239888595752385 0.231108620109298 0.143200699903092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.22108778501161 0.216967310514939 0.234185547507088 0.122262891325986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.232688420304607 0.239520795295279 0.262371517251882 0.142531897655003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.351616235956854 0.337458450272297 0.416369015242302 0.320040651827007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.243002406050074 0.242127511260692 0.341088413805658 0.21595518800713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.306181551113748 0.309003981667875 0.511121833412265 0.309206124736433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.352373274125197 0.374642983086304 0.585514658138756 0.428594034171006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.297238960792217 0.281004724104503 0.305980979698897 0.188816162528249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.348712848283849 0.322988236643383 12.488010035001 8.22087739505756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.43757775071521 1.33362815423567 3655.36856838231 2520.55070561191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.71193050071974 2.46940103327462 5345.50776045598 3474.9582815145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.194742909059644 0.182563096729663 0.151947874113629 0.127114919092471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139743321792439 0.136094615169865 0.11613574091567 0.0686852171875576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.180842745681642 0.178831530846067 0.190812550315074 0.0994310788515601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.217413570276371 0.225268391838568 0.243167739615369 0.131559248628945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.173126387362287 0.165314024550963 0.152961009522615 0.123955078787306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.21109310462401 0.211138374191237 0.301161776379999 0.195980005179118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.299386087759121 0.302373705728529 0.497747418976735 0.303905240941567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349722757237047 0.372665735461672 0.579387747491278 0.427158835070833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.134751558202242 0.129302310694237 0.103384550280568 0.060732454728932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.413606692998645 0.381723934235998 227.933733028586 155.035245685945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.3883937286094 1.45895320341761 1333.10769260568 3070.89269884096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.80521282442243 2.79042048263438 8956.6183566576 13265.416875867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.245769712510637 0.231931819224668 0.212913281672985 0.177782600027099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.155208157732506 0.150596477213556 0.127787632690113 0.0750633508677524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.185309388571876 0.183290238333495 0.194924104696702 0.101367832134745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.218756805386146 0.226588729404211 0.244700399156343 0.132494008979949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.199389212814908 0.190257304884179 0.177462754557399 0.151154094589165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.214611093301607 0.214915723498465 0.305050779888917 0.200135354921788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.299982739459587 0.303176663262279 0.498701102339572 0.305790123271796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.349917791722852 0.372933894212051 0.579775605025965 0.428295989548582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.159230144182995 0.151660462397772 0.12366707272263 0.0732692208878329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.377653596344057 0.391289433056325 106.52198942586 187.301294982633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 3.81142594366941 1.83273202376766 139397.202973535 12578.2971499562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.96407551374415 1.81112574326617 670.071597621292 579.174988720865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.376532445202412 0.357931002164447 0.487646190305348 0.389149431016202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.19731347984359 0.189493095067213 0.174488753064312 0.0999660755971516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.200253745134541 0.196921932397001 0.211943328450265 0.108803623604421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.223866992814469 0.231526191971931 0.251574080190312 0.136651533867836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.270353130071384 0.25689067352079 0.323363005288902 0.258928449858932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.226915252026549 0.22648895864556 0.32642975371094 0.213862708270351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.302449216880654 0.305668688032743 0.504443236808024 0.310818571825754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.350788252847212 0.373630343588981 0.582033305520094 0.431121379881509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.222359433625383 0.210764728156574 0.228104647125346 0.141868823926944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.330771925834007 0.323669706190668 15.6344496561968 25.6337839295666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.939574339249291 0.861203644408562 102.159238851199 92.4471455140732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 2.46357932228443 2.58801721371832 5425.00725586504 7839.87885389593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.966109162782766 0.927991898868281 3.0699822435256 2.39684822999694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.401578653046009 0.384519130271753 0.545351089626923 0.38828959715475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.28791767722072 0.279196976151361 0.337006873749213 0.191666302021394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.264764740034831 0.267963988720788 0.309320831451154 0.17251952754874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.609856130420423 0.586374844287112 1.61468582819677 1.56320084352798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.298569591528617 0.297129745306254 0.457901999489596 0.330926090477491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.320696140929933 0.324425194805354 0.54164331716719 0.34060368491052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.357726926136248 0.379515187889954 0.599885841503426 0.447794623596323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.517574340063676 0.492203756477841 0.984328498867627 0.805915028550504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.416944776056853 0.403211834008598 36.50179703645 51.2314396821309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.986238341137155 0.973551749862049 157.807742061753 172.731850708312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 1.80921203798486 1.82559922675875 505.031785267659 937.961114576032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.57219471904367 1.51959676542563 8.39309135974896 5.78507112853633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.623606084851957 0.597618614504839 1.63005001801045 1.27285239353137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.396481292455629 0.382425967659161 0.87952411501937 0.745402717752015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.324875351283092 0.322487403381835 0.580592998332914 0.56492104065676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.972846480536726 1.0129046416833 3.1285940083457 53.6135604069949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.387375143870119 0.401315666247707 0.627267650539617 3.80610343335948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.349704958996168 0.359227921302163 0.598374510057648 0.903611268332409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.371611932138083 0.393261260956224 0.633642570807539 0.553792385232213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.922833136586039 0.817362406875665 136.762935147013 5.15585794686951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.964439298073278 0.938889852834498 3068.26151180011 3467.43487753974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 1.16231344445811 1.07322411863849 576.264059126894 271.212443592088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 3.81745311566614 2.9495367247308 23202.3948947931 10638.8822616265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0126896130904045 0.0144602076355575 0.000737111883218856 0.000894969436549622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00524944996549462 0.00563314183102646 0.000103137155988697 0.000122826511971262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00337929567930558 0.00328284814399605 3.20531844198174E-05 3.95868117788725E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00294608079007391 0.00264382568212413 1.75970719908848E-05 2.48890352587788E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.00892394661652405 0.0110302832625713 0.00030878108596499 0.000365698506762393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00437498474705622 0.00454226563313003 5.99423042561658E-05 6.07467902733745E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.003905145449173 0.00377903138238117 3.942595403945E-05 4.15404019143084E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00454200190838109 0.00442162868030833 5.12476941184932E-05 6.30831582114044E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0071295905674819 0.0085185458579958 0.000179329943690785 0.000244804337297423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00226622475185556 0.00229095457700628 1.15591499670737E-05 1.70825958705906E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00223273625528153 0.0016752335480185 6.96586892672002E-06 1.08764738961049E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00336868832502578 0.0022109346823335 1.43746931344584E-05 2.31180572108363E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0280397213607927 0.0314576665255656 0.00249116605370908 0.00290144680647288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0111369198790198 0.0121076153871456 0.000343857158024513 0.000416723618850204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00633740068041682 0.00665355406272193 9.89456768624885E-05 0.000125611672134876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00455162368166921 0.00453534383740775 4.32944207424235E-05 6.1350620447068E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0187863682073033 0.0209080761786495 0.00108438148605655 0.00115749066399174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00659286920888135 0.00699771044033063 0.000129606432480539 0.000137544156721504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00453579395741391 0.00452543200327945 5.54914572687767E-05 6.09846987157756E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00471715085521008 0.004645576299717 5.70417253196316E-05 7.10605395470379E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0158766452338607 0.0175824542916102 0.000755694762602862 0.000870601146630424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.004078647821527 0.00446339605545839 3.85397645561166E-05 5.4757805494006E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00301906509435677 0.00266257446540899 1.44454589211386E-05 2.28775998744151E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00367850957472725 0.00264579976990587 1.67463896593839E-05 2.90801563162617E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0507248165460542 0.056481718938168 0.00809359162477099 0.00841021199784977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0200624133448943 0.0218595762532662 0.00109622876348686 0.00126183576779499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0112058153442359 0.0119031256797975 0.000313902946496554 0.000374643887909016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00751144765501005 0.00778565047834881 0.00012742680693687 0.000166138629751677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0338791901853777 0.0371828381226198 0.00351162357845897 0.00355765950463995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0109148744470517 0.0116397783074124 0.000355954813585387 0.000373836372340962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00623539677890065 0.0063672593592598 0.000109913135677318 0.000121142536119832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00538679277128522 0.00535673143941707 7.69172015788628E-05 9.53002771741681E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0283973440168513 0.031468788911596 0.00249084422892198 0.00259471699834182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00718791596056737 0.00788067155631936 0.000126764673999769 0.000161571775600651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00445953375516164 0.00439567936781724 3.92318837167517E-05 5.65562511923442E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00434528460684943 0.00356523312977339 2.58562190256694E-05 4.58031027785738E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0998615953293671 0.109257504598872 0.0328850042592079 0.0283990220530612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0391608573302549 0.0424845625314257 0.00426519406187302 0.00451730979899036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0217156639818499 0.0231029144111397 0.00121441488598917 0.00134788314859921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0141764701124205 0.0148937090402268 0.000485520899221893 0.000573142700873381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0657627254336907 0.0721291732706521 0.0137401623777803 0.0129129119539834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0206991687541348 0.0218390812015263 0.00130170935007244 0.00130445534065625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0106571389947633 0.0110671027703445 0.000338219092239654 0.000359622767713072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00752763553505383 0.00764232125576179 0.000159177993447759 0.000191293845438893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0546527826127369 0.0608671958726677 0.00994271165448731 0.00883861689780735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0139016125932715 0.0151387814446965 0.000505581939547731 0.00056857059265988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00784197952912772 0.00821188706341485 0.000148651392868476 0.000182959844660807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00611586290222407 0.0058637605191571 6.76603358800629E-05 0.000106793471217606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.30859177843794 0.321244920159466 0.35223038721953 0.20904252305975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.1177538888838 0.125690607058366 0.0420508857928419 0.0357398908963129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0647736109521426 0.0685896594232937 0.0115691520601343 0.0111228710107322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.041853356031757 0.0440282477511649 0.00457974275740025 0.0047041186182269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.198644742502656 0.214100763613791 0.139489842031203 0.10231811364788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0610215999251697 0.0643876124901785 0.011980300189646 0.0108817353501185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0303781770728286 0.0316363281830386 0.00295482828481476 0.00281484439444046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.018716378572106 0.0194407284600386 0.0010868899844769 0.00116805749074916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.167861911796569 0.182078774563872 0.10903048619092 0.0645463497907956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0417552968430083 0.0450746418082942 0.00513798876736369 0.00456327946871053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0227257777606402 0.0240421778788635 0.00153715877530554 0.00140990570373564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0150812876238046 0.0160307038268108 0.000623804872241397 0.000677678763168749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.523938471066391 0.535064501198073 1.06415751579872 0.541727470526748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.198377425923709 0.20843334539708 0.125706727118348 0.0926703570669467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.10814547200394 0.114022392331211 0.0336860405689862 0.0294751283244147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0697710334280789 0.073179576287485 0.013209035733238 0.0125821595531311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.336609814899548 0.356270233190494 0.422460249444693 0.267759665105237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.101832337016375 0.107510906889782 0.0348493263480354 0.0293474912089796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0505733228004013 0.052668684003289 0.00857455323339157 0.00763068466165164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0306589535903703 0.0319749435069047 0.00303280982502807 0.00306803705347087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.289487903209956 0.306194850066407 0.343092914866864 0.165459290999652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0701368281407646 0.0754822885756656 0.0155115859034579 0.0119601180675883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0382307226554342 0.0402478790579245 0.00471439912368757 0.0037111334146652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0248918959099196 0.0266165841333399 0.0019208211340934 0.00173549609711201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0785703718445607 0.0884204902907112 0.0205556128187298 0.0202091405948303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0309039679722136 0.0335978902787158 0.00275870568708262 0.00302406700487749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0171186436521016 0.0181497595370386 0.000786617364152973 0.000894071189899407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0112247250385235 0.0116933333405441 0.000312579797899224 0.000381442969145185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0532024536053736 0.0577939127552432 0.00922254723793292 0.00902345469239775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0166658285660274 0.0178018420527543 0.000871429275203374 0.000946108838982685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00882788901091706 0.00903413515812905 0.00023473576879334 0.00025903797184241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00665964808485711 0.00662052670377046 0.000120363256400471 0.000149077808228933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0434305266629124 0.0479758547002973 0.00603463964329469 0.0058468835233766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.011319922573881 0.0121973797992019 0.000343302743769218 0.000390169230329899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0064539058499926 0.00661747804286465 9.76615287555452E-05 0.000126488644593791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00559358588630762 0.00477613867346339 5.1170249055771E-05 7.79943101414707E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.157377306694469 0.174175279382966 0.0882620036945103 0.0715608808293988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0611069613351321 0.0663659167349576 0.0112608507548114 0.0111976967435665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0336325597374763 0.0358127001106365 0.00316250422624013 0.00335948544764001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.021770747708719 0.0229453804272543 0.00124997652029902 0.00141318566998126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.105990683202343 0.113599544394385 0.0389483557351685 0.0327778097018321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0324601225559714 0.034645527924485 0.00343891575316946 0.00350722689593956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0162973092181853 0.0169753248078061 0.000850831593405735 0.000903162087318878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.010665747153724 0.0109857992816032 0.000338503196121391 0.000409714532181065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0865561509623535 0.0940997841418506 0.0264198328803246 0.0200323272406861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.022151497333244 0.0241247635468479 0.00141072785995357 0.00144735814901169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.012108660471604 0.0129260847382784 0.000403702984357129 0.000451250746021099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00890194506901774 0.00860927142762745 0.000173137021827717 0.000227446274990585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.32174100894143 0.34651274879488 0.395774776063932 0.256765472674251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.122561151411016 0.132343150657523 0.0481366686559555 0.041731123632871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0670947552123603 0.0714689202511009 0.0131982827574593 0.0128011583733962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.043175087008984 0.0457272207670817 0.00516912146495168 0.00539987822279816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.215748215981715 0.225939339991056 0.17380399129225 0.1186519975443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0648054594991063 0.0687895856275572 0.0144133354241071 0.0132291788600378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0321042491559866 0.0332987253609332 0.00350975696867279 0.00335386103042257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0197217457275712 0.0207588008824385 0.0012536713089999 0.00141464628258664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.177289963148219 0.188940983977718 0.122339805899797 0.0701381357836388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0444167132470128 0.0480023343412148 0.00616507170689384 0.00533453399535358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0238495325361513 0.0258813086010366 0.00177059264981181 0.0016731842997332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0162375460733338 0.0168378025370604 0.00071561458552799 0.00078650404401632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.00981546704514 1.04683016664395 4.18361147918879 2.07393683839186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.374482330799663 0.397187941733278 0.50149049418312 0.330872248471683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.202305573832788 0.214494575083127 0.132016610086054 0.104591272422382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.129327324983237 0.137227177760392 0.0505172530976127 0.0449321210399919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.67986771046745 0.682734052633871 1.90884658837364 0.965718416552584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.200259064492346 0.207094919152496 0.154865637669289 0.107852637439827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0984854156814746 0.0999093977403615 0.0375507107737032 0.0280327102696008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0586246544528649 0.0613423706697684 0.0125736078052741 0.0113989021661219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.577069861482656 0.596773957687801 1.43414419500892 0.569224830831879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.138894817045947 0.147480452714271 0.0708644479384206 0.0425561543506679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.073718374409949 0.0797099571895337 0.0204086624413837 0.0136086346377159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0480305288356082 0.0514358075136011 0.00803572484038641 0.00617671451645874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.71284385375683 1.76229732846713 12.3196028904939 5.69319472949625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.630950293700801 0.662120930995408 1.48944645727805 0.873658437965577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.338065061927504 0.356434674597677 0.388232217327836 0.273380560015938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.215367508554413 0.227887157088683 0.1469511030242 0.118048122111839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.17524428647312 1.16600481828254 6.0183220223597 2.81165656372547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.346237259430167 0.3529249780589 0.504072289388038 0.310382532271644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.170080624094247 0.171060321177124 0.124476322380029 0.083370358862466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.101005235278727 0.10433348608134 0.0416634870603388 0.0327056055317501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.01357268200391 1.03948994952972 4.59982770227711 1.68445691939686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.242764167947107 0.254127558932558 0.23483201874429 0.116532481495862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.129210923187558 0.137795288113854 0.0691174886418554 0.0383881041891678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.083016124407202 0.0890523172274868 0.0272414519263188 0.0173088646629058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0664579730970621 0.0982536927230638 0.0135430488833584 0.0308545432731114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0242444290308072 0.0348138663048106 0.00164616104433468 0.00388092403978378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0132324340873108 0.0193281965603702 0.00047516778684944 0.00115354269365995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00894933310363681 0.0142421341037301 0.000215108527634342 0.000601675267527483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0549556104534589 0.0601105513744905 0.00883803461207578 0.0132122372684463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0173873697706721 0.0191755416663188 0.000888986832402989 0.00133934378980569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0098234699523451 0.0148751063730851 0.000281884479416792 0.000690912802484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00886042610323136 0.0174943264926646 0.000264109489020645 0.000836969390331492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0399694139795836 0.0512236353008619 0.00500587057786141 0.00634005058937855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0133595208394361 0.0132146052469155 0.000505886361295785 0.000496866880534168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00784257513191097 0.00881046811997811 0.000175230867076657 0.000248726077606055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00640895833573158 0.00917011504429178 0.000110937901836118 0.00032031147071104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.116809938631144 0.136459218219744 0.035663503917485 0.0532539454489615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.042929424278508 0.0494495664480924 0.00462388479117183 0.00701462254380456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.023141030977001 0.0268054810728129 0.00133280805107521 0.00206418805860507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0150653958209831 0.018571008514508 0.000570137682914688 0.000987070654728079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0779838880774884 0.0830034583252886 0.0163736787328822 0.0219333680569107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0228768851690985 0.0246137942549986 0.00148722398828936 0.00201596597822576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0120336778105931 0.0163771471526855 0.000420254680060156 0.000830701583892906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00991250630937946 0.0180092648256261 0.000323169012488358 0.000893370600408963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0615486719326923 0.0705109968686701 0.0108130304748495 0.0113936785952958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0185016313468649 0.0186442816441354 0.0009069968789783 0.000912392471170507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0103122164890172 0.0111276447679134 0.000285273690984997 0.000373852114686702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0078150611200309 0.0104577357219088 0.000158333462466002 0.000388830658176566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.199739981996226 0.212652577199394 0.104666903557756 0.120415980719411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.074162044430616 0.0787501370515002 0.0137639282847232 0.0165747536234228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0399442809433207 0.0425761811131022 0.00395596180789688 0.00487357944311548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.025725229764663 0.0282201544011346 0.00164955170828797 0.00216913513535796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.121594925265234 0.12727852514595 0.0394790408763987 0.0468665033208872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0346731625683052 0.0364989954386668 0.00333871494425409 0.00405288066748742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0171604916699526 0.0205289887342526 0.000844399664782198 0.00127651683627377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0125036293133029 0.0195449503755521 0.000496815547286015 0.00106744619116827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.100900366918269 0.108387754947093 0.0282576992822669 0.0274281291309206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0285138177473515 0.0290936291534213 0.00210568040165741 0.00215457307447984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0152513265181154 0.0159902111331396 0.000608910020814272 0.000734788784807012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0108347083511435 0.0133063412068262 0.000301792302765932 0.000590726266307475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.380035247084664 0.389371775730008 0.395049330057197 0.380543940857101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.141981865359254 0.14631082714215 0.0513115312767176 0.0546780147316742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0765247818332187 0.0791613632341123 0.0146612582053075 0.0160931568872821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0490731347523258 0.0514580131861349 0.00603037266988018 0.00688584278041916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.22249905691279 0.230871430217792 0.137195680770643 0.141467227117871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0626492080448387 0.0653409511225649 0.0109080919047465 0.0120382526430307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0299736220483943 0.0326452399029974 0.00255864995104729 0.00307972040836877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.019509541111685 0.0251162235400927 0.00117703906397033 0.00178263966895079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.188859667819668 0.197106939290377 0.0999532029090281 0.0923782755998614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0517951010102036 0.0531804339334351 0.0069611294609489 0.00709321125106232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0270085307544096 0.0280124247446075 0.00191339754984566 0.00214788088971846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0183342617031266 0.0209533273295385 0.000886769680894718 0.00137106548194469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12206892781298 1.12448955621788 3.8749068387625 2.79163935536046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.420547156880407 0.427681381559204 0.471087230999743 0.444662327976884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.226512914281061 0.231952421997798 0.131989458484412 0.133083394933333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.145015302499337 0.149974697159686 0.0535874198626415 0.0562849882027214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.652411976206585 0.665068574662729 1.32263068267961 1.03189815411381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.182279914025572 0.188326586421831 0.0955820731781477 0.0929998953124336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0858132268971385 0.0895790563380996 0.0211812940856589 0.0219649126280622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0523182643777737 0.0579461000509871 0.00837310330034205 0.00946684300974838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.556343477453818 0.569454634431722 0.943044099038907 0.737336080254518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.150630659254348 0.154598794464083 0.0608532920063901 0.0580582050862172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0775281909172006 0.0802646149708518 0.0162255288998398 0.016649298304966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.051680650107814 0.0569205404895217 0.00741124275557879 0.00930206037321074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.87270636503582 1.86742403307531 11.617847253954 7.08087283444386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.701063442363564 0.70901433469665 1.35256995238609 1.1795617965227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.377307766064624 0.385215702812528 0.37301570607663 0.35996942381092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.241427831743039 0.249093769153513 0.150270320210557 0.153064387632054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.09194192349108 1.10510550387369 3.97345228012643 2.63913667021155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.304225097786906 0.312227459316914 0.274359137893296 0.247514300318749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.14273931430938 0.148265342771684 0.0594010250508444 0.0590681957479949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0864038680614244 0.0939655333972024 0.0229331813019274 0.0248163292996374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.928647843117592 0.945041063814913 2.81170074310891 1.90640642970215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.250982481020607 0.256529389614621 0.174151018391392 0.155012925674853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.128843278697537 0.13320029640181 0.0458752379836588 0.0445057706966598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0858477655668827 0.0940737967583194 0.0210663716224633 0.0244335231681006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.305156809644092 0.315599186906175 0.259877453526736 0.263283473903428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.113290306936143 0.117546648660921 0.0339615267212272 0.0371788115289016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0608740774980026 0.0635224327262812 0.00971307283515616 0.0109015878794607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0390362899275143 0.0414460046244035 0.00400723250278094 0.00468573656854597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.181511818042348 0.188424414184721 0.0915181677963267 0.0992259552175278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0506558936993696 0.0536385883711478 0.00729890899424628 0.00855582916940144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0244554053611317 0.0276156879559566 0.00175996674553645 0.00228933180712465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0165308100488041 0.0226327550268638 0.000865595691521186 0.00145667893847498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.154500587080643 0.160773192689547 0.0684129721697368 0.0623689690382977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0419866184134613 0.0431126408379149 0.00470479039668012 0.0048340695070793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0219748882090595 0.0229361102460461 0.0013010977862539 0.00148613236596256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0152163341097672 0.0178403952284036 0.0006186924166227 0.00104339260717721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.596742990261525 0.603468617893402 1.0554160643103 0.905021998715056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.222316647854518 0.226084003393834 0.134305797968845 0.133899989175548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.119354697063119 0.122198270094272 0.0380199517731086 0.0394621562653152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0763481505528251 0.0790392698160811 0.0155380693653506 0.0166645430875284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.349434006618154 0.358830989769897 0.360906593495766 0.334691194693232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0965756424965584 0.101530702989654 0.0271374902754262 0.0292181194518383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0456505066562494 0.0491628281805961 0.00621860176612177 0.00702223406169735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0287628539858037 0.0340581796645031 0.00263357528917424 0.00334208478133461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.302051518337175 0.305710192868219 0.270074217391006 0.224713018905947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0805328267063674 0.0826595297456942 0.0176147393670755 0.0176076948725984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0416579783017733 0.0430527414535413 0.00476742298901827 0.00506459524812142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0281286164021718 0.0315760874766576 0.00219532855108968 0.00310286606156337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.18353803004212 1.18959202976735 4.51901955567311 3.20441820233717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.442628441430612 0.446417517460369 0.550153715564466 0.50504465463589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237458963679344 0.241446786331949 0.153369121855353 0.151038372270393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.151826419214985 0.155869213049353 0.0622323681650642 0.0637071995080552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.695047291395358 0.706839433276823 1.54820706954088 1.19628462349363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.191256349855792 0.199445533165539 0.109645989054713 0.108477602315489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0897094425189276 0.0949721382576117 0.0243470554860907 0.0255982770938716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0550751958277228 0.0611661180975674 0.00972175448651332 0.0108534897087785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.602041037806936 0.600721391462418 1.14362028899745 0.826649667400479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.159729828625243 0.163057757874618 0.0712154596259057 0.0670489703088519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0823013848813758 0.0846073619219485 0.0190442987433345 0.0189279493947585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0550967661347184 0.0610620899654432 0.00872460125522839 0.0110627860415123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.59899964163018 3.60398795031412 48.0423285223285 24.8085999446749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.32362396497077 1.32477871914272 5.3928809826211 4.01632114761326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.711021034990367 0.717676411632542 1.44536917740022 1.26217115313227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.454508583772761 0.463076540787249 0.575857574830061 0.540766685974813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.12241039820127 2.14354116058576 16.9055531212283 9.39889489847742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.579816930235287 0.596773081078744 1.0949328393001 0.905229874134746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.270895020488886 0.283608819936271 0.231885509286858 0.219809977387496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164275734959886 0.177388838034467 0.088136632910297 0.0896428765702994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.83172525537536 1.81177561940934 12.3906886117101 6.41028301756479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.483312238939193 0.484895764211864 0.712776342857263 0.544067854344484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.248617288045536 0.252185917685451 0.186399905448341 0.154892467494067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.166204736518117 0.18205492219836 0.0861832905432853 0.0909303019986456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.08142847925312 6.08317145454386 142.953632746374 66.2567450574637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.19988630643659 2.19412930387185 15.8170882843848 10.305692907812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.18036753647387 1.18737674741305 4.14475742600839 3.29697567585517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.75514810051581 0.765727160682427 1.63136110654853 1.43071725671157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.62950694876472 3.66559389016072 52.9982368243814 26.0064679746251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.986716690486035 1.01061885795199 3.43042896284581 2.50640126795939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.461247149394272 0.480550634789962 0.712053702849294 0.620683646985887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.279009088361321 0.299335793950045 0.266282463805997 0.251846249518383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.13326020717816 3.10903964678533 38.9014140904399 17.3838992648117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.816488030984525 0.813328668966476 2.18263658374025 1.42591903527672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.4214953825098 0.422669496894786 0.570785309377659 0.407607120751203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.284048651435672 0.304120959940531 0.270797545100316 0.237803655862449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.249580862819618 0.258005387992235 0.193112861105737 0.231000578510514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0901012429751368 0.0926441174743578 0.0252061336083538 0.0282166394658104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0502637138066591 0.0558954065190481 0.00796630318445896 0.00938001604326377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0375483103067556 0.0526703233352697 0.00481775798795626 0.00744492406514737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.170219419030838 0.148272854302991 0.0912186470218725 0.079501169922429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0573827755040372 0.0542178688403515 0.0111146861574114 0.0102578384081486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0446613386633235 0.0670965960800132 0.00797807896959012 0.0160143141340894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0526521663406612 0.099291640285373 0.0122050075409666 0.0321749233079961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.116014581068355 0.131120970725613 0.0479266913743329 0.046305963921875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0368783988969212 0.0426987749823002 0.00427223826296092 0.00436666802391309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0289795965951242 0.0483864881460767 0.00283338376572865 0.00412587278613951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0381648216143142 0.0738913401879241 0.00577768713287095 0.00909694849132639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.27363862858118 0.274583155412929 0.2199306261473 0.250464392697067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0989964360165543 0.0987618488611189 0.0288718622121064 0.0308939337908518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0550142240733742 0.0591157318341283 0.00901191017926208 0.0101213887953016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0404467811688718 0.0545296349292681 0.00524261519833615 0.00772968195025574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.180842455375391 0.159960312513681 0.0995474702995835 0.0883255881325349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0600385118174544 0.0573468169234561 0.0118288885451712 0.0110161520462862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0456240994627831 0.068006415412742 0.008148010583275 0.0162168876073951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0530054537301315 0.0995743913461337 0.012278101736795 0.0322630114954671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.128073974939905 0.140117154026697 0.0547055298257826 0.0507123401199607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.039700923897191 0.0449021570733241 0.00476373484824488 0.00467913842084401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0301648108546894 0.0491380461311576 0.00297203983692905 0.00420418025534601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0387886595065992 0.0742338301956574 0.00585980140804903 0.00913143473092776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.329245918965618 0.318619751626742 0.298189277367608 0.310202783122039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.119554825802689 0.115541647709477 0.0394463820940039 0.0392585162472192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0658818686055447 0.067994903931562 0.0120056441867222 0.0124612390704587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0470627856626449 0.059399815983839 0.00644760043693157 0.008628086423997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.207826134378472 0.188390871385479 0.124660933710803 0.112875028158631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0668190674188583 0.0647223994017018 0.013908323214989 0.0130658325786467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0480965391695677 0.0702238734339853 0.00863639515857955 0.0167395090766374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0540098513812296 0.100314484042975 0.0124864930711773 0.032489615801916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.155851517299886 0.162915190424479 0.0743274382772391 0.0644258845443069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0464112528127508 0.0506521048771621 0.00616059463437539 0.00564319553421513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0331122319172749 0.0510349185919535 0.00336359773848222 0.00444150517305884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0403203607070308 0.0750350803680026 0.00607211435895162 0.00924463980147845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.479624945731259 0.446986445086204 0.61001361016659 0.543451836048108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.175617894503732 0.164571826029714 0.0810565372535051 0.0725472597231269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0956795064964166 0.0939768573649797 0.0237744036818043 0.02191102616556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0653524563344474 0.0739838830053691 0.0111642723668731 0.0122782518294307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.28687647942221 0.268353765040413 0.22641000207365 0.205803116898953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0872156946213246 0.0854074106051821 0.0220784343777016 0.0208322517869902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0559161532259111 0.0771349262502812 0.0105175346044765 0.0186897456851348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0574588127891628 0.102869506605564 0.0132822039388779 0.0333384883086434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.230634608826543 0.226987487629435 0.1515277524387 0.1193870247138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0654169800301176 0.0673060508577111 0.0116098522462954 0.00956747510995802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0417704727488415 0.0570579148414501 0.00486640437193102 0.00540374471681943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0450140409423935 0.0777502487247637 0.00685452706962801 0.00970889713146457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.1988679837525 1.10427401479224 4.10285423579814 2.87664797203122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.447005552547231 0.410632721595852 0.532248802735826 0.422870370231097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.240192256569389 0.226457027302374 0.150338719089318 0.124939709220143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.155655850841557 0.153675438483576 0.0617785937707023 0.0531742412954906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.693011832459472 0.657404436578844 1.39901591536745 1.1020267379981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.196522273698289 0.191314473924952 0.110473516202349 0.100247509348328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101982058856517 0.118999649945838 0.0300534866651068 0.0383793240059009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0805982257075588 0.121679966097813 0.0211941476389498 0.041880154637513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.58961591205345 0.547524021944277 1.00952552328073 0.69045310975846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.160270797852662 0.153090831189256 0.0698621971148861 0.053003028576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0878045973746767 0.0942324876075913 0.0206098993676904 0.0162800311964146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0723367077855277 0.096781840556865 0.0146405251010255 0.0148231700059604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.94308659995255 1.81546671185957 11.5009283024848 7.2515244410602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.731635912332119 0.670521446044787 1.4579318138057 1.10690947838689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.392522622800399 0.367528832895145 0.407902608648667 0.331586743974249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.251723439954322 0.242457602793223 0.164565410404618 0.137514260274249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.12805694452402 1.0740565841192 3.93796062685822 2.77265152698314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.316509603286801 0.306226963677793 0.294213035998849 0.255187033053604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.155537803688609 0.169925884148273 0.0698876327403074 0.077364802206237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.109891929018272 0.147590698064439 0.0368378549064606 0.0587179407042473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.966101305913534 0.890290167265729 2.84346445991386 1.76870477363029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.261241903055084 0.246374600150461 0.18909147009568 0.140553400873608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.138535019516418 0.139272339845411 0.0526041109170808 0.0391115414387141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.104279032799268 0.122608105090036 0.0301405813852211 0.0254317484439231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.42132680628209 0.397351639338878 0.474605810548702 0.447167661509871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.153251004298461 0.144887115737864 0.0627746787809551 0.0582625023201711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0838397538726297 0.0835209416702479 0.0186263675354349 0.0178746416984945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0579763274925952 0.0680931266010052 0.00906800049211362 0.0107633544314715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.255816697894582 0.234895166889702 0.182962435453489 0.161908282953654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0786550394124345 0.0761236702163414 0.0181980429504197 0.0169247579936857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0525533727401312 0.0740405870491931 0.00963268639169313 0.0176831533279458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0559607329550248 0.101814589811255 0.0128613277478711 0.0328673385347192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.20053737474148 0.20136497725592 0.117534545376602 0.0955476524277804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.057750970493604 0.0608036683949728 0.00918989299610606 0.00779770998986772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0378910924510269 0.0547438977223488 0.00413137566368348 0.00498154962791267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0429671998687395 0.0767273454170591 0.0064544767438243 0.00956755660467488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.696562131632828 0.643224691837103 1.32265315964595 1.06915883839028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.255521345016898 0.237523489395349 0.173624170417378 0.148006843274581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.138204287863975 0.132846150783952 0.0498878795479516 0.0437591049707061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0916679938234245 0.0968939989480054 0.0215326226559675 0.0209497120893335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.406906120965733 0.381714036877823 0.466490422683254 0.394882678586714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.117941580324269 0.115100643135934 0.039648560167274 0.0367312559305249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0684936708850421 0.0882540426940554 0.0144704981939189 0.0226189686558462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0633662629106429 0.107682918026851 0.0147927885210451 0.0350028415514593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.337196730070201 0.322332855416617 0.324732307030421 0.244502261913673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0932275714901726 0.0923761429712016 0.0236541773570765 0.0184741034563197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0544275135362142 0.0676527677836588 0.00799947223940171 0.0076956137384268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0524742848367942 0.0829947505096814 0.00841075357147598 0.0109096923552053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.28800836108543 1.19387364124234 4.85450317229401 3.419639607997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.478267248048024 0.441687535086115 0.623671443118763 0.501725158144483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.256933745286962 0.242987780016825 0.175923436066504 0.148412561991751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.166074493155804 0.164371168144365 0.0717602737443122 0.0630026612199885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.746429959878284 0.707105777399068 1.67457762752202 1.27227375828829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.208830766471353 0.203683983511974 0.12773924742657 0.114719103936438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.107713321073316 0.124878280098144 0.033754306691061 0.0422018062505288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0836011395902383 0.124983511382417 0.0223442579298863 0.0434696547103205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.633703908916456 0.590825180005743 1.19008680480191 0.819040679400576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.171953841958485 0.16454875640672 0.082175996790389 0.0623081779850817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0929601407587864 0.100694001621759 0.0236292521682969 0.0191200381309925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.075809638671234 0.100713965044434 0.0160775357719378 0.0163091485906987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.72093570067771 3.55524473099735 46.9404611041903 25.9145300909389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.38947243358754 1.29316500840763 5.60428712851995 4.07852940661924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.74825269423933 0.702201351875811 1.55397819214908 1.24586359582079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.477246310682172 0.456821503503018 0.618936146683102 0.521507796508596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.18119266687413 2.10113693066096 16.6180892461332 9.88297234929991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.602640308220412 0.585577076860503 1.15549407525949 0.931328616085692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.287898678986039 0.301502211838702 0.255052045768002 0.251593174655504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.185991963766847 0.224013699164426 0.106640336320844 0.134603733719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.86178617097889 1.74375251170081 11.7342458282733 6.43119483973909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.500265327662924 0.474349582833133 0.739997178360647 0.524391333411434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.260514465899476 0.258919522438853 0.199899460040675 0.147532830214993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.184721172212164 0.199110619335988 0.101928032468849 0.0769567302558018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.1910344240089 6.0065215503674 138.195576358493 68.3612657626129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.28532148232841 2.15568005360832 15.8527107589108 10.7642574478881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.23489960588828 1.16231710897838 4.34249584319483 3.340155376264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.787953446256413 0.752061713767442 1.72157299400077 1.41921957632252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.69298797253258 3.58794210647754 51.4762447685337 27.1094304497529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.01857481439968 0.989817652976393 3.53524008182313 2.61618618478404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.484107627808132 0.495382225208823 0.768484175909148 0.691387321044048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.302619456551087 0.342464261254378 0.302394667681781 0.327586714760677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.13727601512791 2.99261719993605 36.0132679163966 17.478876968194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.835738317163501 0.797657740382297 2.17142983196505 1.42607867790392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.43431463091947 0.431027471890685 0.582164555827041 0.411685033958158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.301871362800516 0.316003361576955 0.290085436017727 0.206152378744709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.02090236341303 0.0239144249936414 0.00125353536097648 0.00125727839140366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.00917801934101804 0.00903602631820238 0.000198627956499669 0.000161331303678544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.00501086005883525 0.00619643184716531 6.65017311545128E-05 5.08178041864139E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.00363067281075023 0.00611877255631035 3.51491107108799E-05 5.47001806510027E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0138546577455131 0.0138489644360371 0.000612603128093948 0.00025180786220218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.00534223366106397 0.0110372102201083 7.86654387313142E-05 0.000193508316814878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.00359787988961741 0.0114650241449633 4.14419330474833E-05 0.000148157126209013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00605002600003703 0.0149360868838522 7.7916045251255E-05 0.000361200999759793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0152578382000037 0.0110915799849757 0.000613975504468324 0.000169796245398849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.00494420815426101 0.00287907220487186 6.76112761306626E-05 1.51187676798999E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00323377609489234 0.00285172863194856 3.57199449299734E-05 1.30989756487504E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0027417351128888 0.0033412000652905 2.60193951656112E-05 2.37282963530986E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.110331116715573 0.0818374425721742 0.0339723193412951 0.0163558510277258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0392991226493132 0.0276735950639854 0.00397937533540402 0.00183753050872052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0219187950336414 0.0141461337795044 0.00125777514868949 0.000418657886202493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0143306127084277 0.010956919163179 0.000538607997133926 0.000241612738552747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0660231342415953 0.0420549606425172 0.0125506146843725 0.00392037461266713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0164913992418721 0.0145844944188175 0.000718247603895927 0.000452254290928957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0082910016729354 0.0118524900771417 0.000196223845963519 0.000171956572412148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.00724626832941215 0.0153454075823099 0.000119496358634157 0.000389522454448684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0532826050829193 0.037472244693234 0.00789458254732629 0.0032412988780393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.01443814251804 0.00922574104061009 0.000557139593693359 0.000202503551610127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0075324284705352 0.00556713437673555 0.000163957040699497 6.24017264721189E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00555459204931777 0.00505898805668486 8.34226899078672E-05 5.92077774179248E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.212329024218783 0.15932483058307 0.129744176981464 0.0601610036426015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0764394011062933 0.0528074694627396 0.0153110658948459 0.00688076754462124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0425616657647726 0.0264033735641951 0.00476400228997025 0.0016036029745432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0278244451023913 0.0189678620603094 0.00202758285935598 0.000804512621206663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.125559939686096 0.082648906405629 0.0469286904615287 0.0156984555588643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0311334209103066 0.0240510933988841 0.00258281594198472 0.00140704885090579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0151384516332082 0.013873576418797 0.000634556140777023 0.000294255676121242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0102314086323845 0.0162533389512428 0.000257243786142301 0.000477871904193893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.102211570684852 0.072646760407736 0.0303155868169748 0.0125446560973648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0273932654378086 0.01778426405401 0.00201518505763501 0.00077309605257859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0138977113611695 0.00964558507718861 0.000539818050241773 0.000203740061073722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00958087705955911 0.00823191937953802 0.000239518730971077 0.000167615150751936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.40456447125124 0.327233575558646 0.508360343916378 0.234947151455514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.150513801842579 0.1047360150749 0.060573816044098 0.0270621241681415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0841025333442701 0.051952554091287 0.0187390228197265 0.00648346200523798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0550228828109068 0.0361242822518836 0.00796020788341776 0.0031003839111857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.237167802971704 0.173856923385325 0.181009449975739 0.0667436841849834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0614170280253085 0.0457276624734281 0.0101487034300107 0.00543761632018153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0294449318264848 0.0213044719838492 0.00236837942867357 0.000889188417298229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0180532934107707 0.0200257627109959 0.000844949231331687 0.000859964742033278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.199494916908438 0.145195633336589 0.122375976164876 0.0486768690987527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0538502467462814 0.0352628232688449 0.00787846236824599 0.00304761533980024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0272217139954073 0.0182838064360372 0.00203873084990353 0.000767730553418725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.018197656447453 0.0154892039218736 0.000856627475721278 0.000610643345855792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14277178553754 1.06887481793755 4.76311193378966 2.11258825697695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.426607914324472 0.331076725308499 0.52472351818171 0.2512644902116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.246421591652689 0.15866530798808 0.165286703916916 0.060195483630594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163357490115905 0.107020031688934 0.0711454680985877 0.027906136058436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.657463368473251 0.5853227221927 1.67941654072359 0.65513445713698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.184321366697809 0.133594744422763 0.0960064877771236 0.0452803558218963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0880191456210329 0.0582745912116435 0.0213125740538056 0.00810876632534199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0524423857055075 0.0462008878438348 0.00754947872150941 0.00535830441760601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.563550605965895 0.469073479804685 1.15087111389819 0.433111345335539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.157414425166007 0.106896289177793 0.0711590085603549 0.0264610446005307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0805173392907313 0.0544881582372926 0.0181786291671361 0.00678303666069724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.053942725592681 0.0461815695756259 0.00773143919078571 0.00536237542296454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.88741607672029 1.84281750816919 13.6345026580527 5.8954173667209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.683338442394476 0.577779738036527 1.4332384228204 0.720205024497676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.398003188376102 0.275145946255258 0.446076943517952 0.175678127233609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.26802042307324 0.181119537557234 0.195023145022496 0.0785667431049836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.09007964420662 1.01718124954925 4.89437417481134 1.85626764774098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.305287507788211 0.2225811306539 0.277729118472938 0.118298305044068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.146874873151375 0.0962645987025219 0.0605466715368072 0.0224373976518823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0873269782867959 0.0748736412463788 0.021707137978937 0.0141856041337038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.924686193782173 0.81584457505399 3.32188196870892 1.21121726532961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.253419294225812 0.182528681932874 0.196370547356403 0.0714033100406256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.132767812323066 0.0921194335637971 0.051030446407312 0.0187970953808137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0895723445608351 0.0780985057451732 0.022168030307028 0.0147988236260411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.299183197965832 0.251267322781108 0.274996905156313 0.136014789426808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.112330539718161 0.0818610227898447 0.0335549499121045 0.016282717930366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0626863932783016 0.0412696657314185 0.0103709960652145 0.00399768255109188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.041245084586887 0.0286740441744888 0.00443935453840456 0.0018877495553563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.186863318849862 0.131910907402436 0.107777220005248 0.0373686257967764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0460516062087201 0.0351369395541934 0.00570457404979543 0.0028319748625364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0217789379962409 0.0189846437214018 0.00131350072067051 0.000625990423934465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0148286185111324 0.0185764075235941 0.000528562699000592 0.000728585622783596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.162611335385433 0.11724447707835 0.0744967767131001 0.0356888213279908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0411345917822864 0.0284050853804575 0.00450487668097595 0.00197220841814419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0219496476750977 0.0156951762056933 0.00124417591270404 0.00061716085290451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0177590470053658 0.0118989346070853 0.000817954694886918 0.000370893046483808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.580227151370169 0.514536682716571 1.1348696954692 0.516773200597004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.220926309734937 0.165407083635908 0.132868131021156 0.0652303214540809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.124496988197548 0.0822794753869003 0.0412086946452028 0.0162462903548737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0820688008208143 0.0561856292867323 0.0176618326606177 0.00754945965448195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.358143493211084 0.277029339215893 0.433838626539683 0.152058769706108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0912783002631917 0.0692554882523807 0.0227200532898732 0.0114665223523964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.043171207853477 0.0333339447303033 0.00514296335765598 0.00230893412194941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0277826370766118 0.0274419303848567 0.0019699418025592 0.0018174384805364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.311342479609142 0.237355928876486 0.302921430972604 0.135234838793784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0806336664843399 0.056946590964566 0.0176529369459222 0.00780226402823486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0436561892567689 0.0307444345239095 0.0049255437440941 0.00240700978904341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0356629684448232 0.0229657320684082 0.00333964423991191 0.00140307918764329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14651624535086 1.0633492213222 4.80933776288475 2.00081739066096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.429419184985342 0.339607811834378 0.526826043444294 0.262900009274297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.245434391770357 0.167559438837794 0.162685533526547 0.067038917395795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163145018448813 0.112190572208491 0.0705423003495719 0.0303582550604401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.689850569157953 0.590038953981773 1.81225436761719 0.61458795817461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.180335979502121 0.140012608120324 0.0916820800654293 0.0461417295262425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0861439942430468 0.064436213846799 0.0209392735358416 0.0093519641901998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0545565538247645 0.0490780403927408 0.00805218767508191 0.00623466177637234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.602095988675702 0.498647754378699 1.28002362922595 0.522226075684182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.157977162058048 0.116726840467813 0.0706289222416877 0.0310890857108596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0865244998450688 0.0615802240350603 0.0198668288464877 0.00938538392111998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0702072354237787 0.0455907396088201 0.0135127613166768 0.00528602874025126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.47777263706918 3.35348818100053 46.9811590469111 17.7006478811923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.20109709371423 1.09652517697929 4.73464499232266 2.40296925976433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.688194390012839 0.544766690411101 1.39694017769604 0.659436119140853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.469328186329622 0.35375381446206 0.613897730697642 0.291004699269673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.09444447440821 1.93796950663064 18.5804467587906 5.70649415690697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.51906610780233 0.447523163523967 0.889828649704856 0.426139850980388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.256074555948245 0.197605167194899 0.205305450377859 0.0887446582886986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.164851771153514 0.143320204295771 0.0832493640419208 0.0524483769628794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.80141718334788 1.68415558219836 13.0145914018101 4.8378754284076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.447562678322845 0.389636779365973 0.670199450101798 0.280684155889096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.245880056561965 0.193471653659579 0.184580477318 0.0824770581281242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.192713714806477 0.155119817114687 0.125717469766014 0.0476942680458085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 5.8431550087653 5.66058584450397 133.950256422118 48.8959156523341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.97302715808812 1.881278017031 13.3525258685088 6.67057417602588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.09729181908476 0.949229836669147 3.80856774023644 1.87500104459443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.7513174399703 0.613481272597396 1.66328585414131 0.831385288521159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.58862510794306 3.34859077467621 56.0086150216345 16.5940951563677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.865824560296923 0.800217783282 2.75182055469293 1.27585793553298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.432109961838278 0.342324979742843 0.648381720648875 0.265242333716668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.279586364309526 0.241446461222127 0.269290441665355 0.145682030819259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.04066314418293 2.95366195670884 38.3369310898168 13.9697358574824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.74990807123966 0.689449212068728 2.0540068667895 0.791863855020569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.397812147412216 0.34131900996623 0.554577626496811 0.228474732281493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.317862177407286 0.294469724195909 0.400159148718489 0.149709347197365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11535408279813 0.11538579984476 0.0322497704846816 0.041019230893163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0351807198481429 0.0436128040316302 0.00325162253377829 0.00601262910075883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0189619725325498 0.0249605465204092 0.000934148026455203 0.0019271362914529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0127914462887752 0.0195817520026541 0.000402553015423686 0.00116319828007887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0997196843789916 0.060681820725628 0.0273859951143473 0.012623447915195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0269235488878976 0.0226482818300723 0.00227071989742422 0.00169453908103787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0149596063406499 0.0200853845676927 0.00071914184099394 0.00122740341128388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0128857262339652 0.0261523344260951 0.000514408801142152 0.00189246517619433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0615116835795581 0.0595606880828108 0.0102001479619535 0.00818380894893021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0191025434551179 0.0157540388014744 0.000950781752695037 0.000686072262946434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0119046216084959 0.012232761097271 0.00039322325098194 0.000510881989055138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.011918642597053 0.0161891185501672 0.000506044999506893 0.00108437304751814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.166845262218964 0.146207708871692 0.0623234650057236 0.0620561410298342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0558985258037107 0.054846654564045 0.00727556248959807 0.0091142441679731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0297628979635458 0.0305239746067038 0.00207349231355697 0.00284195505109442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0193741121365872 0.022535574818641 0.000867748082775629 0.00155124795093714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.123796577305579 0.0814624582022566 0.0414961974061023 0.0198891804323656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0334154185984265 0.0263671152008552 0.00334067947292368 0.00228109623657204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0179033769973544 0.0207585964291632 0.00100050526804817 0.00134445947944632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0141104018825583 0.0262694468306483 0.000608063885325163 0.00192434161198198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0828964763922038 0.0749688793901557 0.0183476259801858 0.0130242837060224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0249640582559767 0.0196557780901793 0.00156218784980068 0.00106132560555077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0146563998548583 0.0136254942550451 0.000561806565338664 0.000624142451834765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0132730678930959 0.0168202306381439 0.000561287033606148 0.00114308796152916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.253957607935756 0.210393869480124 0.15156989035689 0.120015052590039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0892737515342208 0.079984694826923 0.0188962635579576 0.0179046698049012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0476098035779921 0.0437908198652958 0.0053623209580535 0.00548207713724149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0308759619508005 0.0300890601470863 0.00223810419418311 0.00267416079474029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.17319833205734 0.121560374352818 0.0810498601387591 0.0402394305264144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0468936304282441 0.0362950421674861 0.00636236979532835 0.00406000695352485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0242083039101089 0.023229361421051 0.00179886440167798 0.00172578746869055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0173253640839792 0.0269606486166364 0.000913535807477918 0.00206318244755612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.124446353205999 0.107362448420928 0.0421101880914798 0.0272804593199794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0365802108449609 0.0281310387339231 0.00333884728925773 0.00214279655622591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0204776179810735 0.0171567251230807 0.00106605469568785 0.000951135328033604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0169651208061872 0.0186135626380405 0.000863935031035171 0.00133416133011623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.452745024398773 0.368099243778928 0.524241439527603 0.344284359215876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.163388903630082 0.141061912535766 0.0661080824854598 0.0522098408722668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0873248253985415 0.0768781070387995 0.0186478938428659 0.015794788438955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0567181011554653 0.0506242339629369 0.00779686943411445 0.00708057864960278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.295039623387592 0.214871776372949 0.239719737347906 0.118733230725005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0800458484881612 0.0619205760800746 0.0183125978776085 0.0110390805619414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0405519422461191 0.0328119568408598 0.00497608155836887 0.00334635132281419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0267376561799291 0.0301459850601275 0.00217118289667991 0.00267689739107919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.223795701921462 0.185671419806114 0.139163725608691 0.0839304938803306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0643907205215364 0.0493385623559813 0.0105100377354034 0.00642388590971191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0346999691291842 0.0271808943473223 0.00309410194897966 0.00221509716968555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0275829536183185 0.0240687846473272 0.0022242296648613 0.00205008492766258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.27874621253913 1.07341140887242 4.79240534760685 2.58209535105786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.476729470826583 0.40202833146526 0.594608948496897 0.400434005418592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.254464925837698 0.218596980264335 0.164672597158404 0.121118288373236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.165240536822968 0.141738023860889 0.0685913383123006 0.0519159815393102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.818910241783422 0.625648941567556 1.99921899058397 0.917921080012349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.22592323046088 0.17664860109711 0.147886761782957 0.0834755556540557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.113448707007277 0.0839639411763979 0.0391164972949851 0.0202205689107218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0723207073993779 0.0569628175406946 0.01604277921262 0.00962384353525225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.642832027419257 0.520638335156777 1.23853321026615 0.625687271793635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.183805246297613 0.141967108030644 0.0892208816021534 0.0506491886694352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0970599247794271 0.0743635101054851 0.0252671343950473 0.0148084516803904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0775944207761091 0.0547610680257979 0.0177538990381023 0.00890863919513515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.08980782661947 1.82915439831465 13.9260272217821 6.92897766083766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.791722353257034 0.667820866514445 1.69263350951561 1.06733007013785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.423112336907732 0.362010817749142 0.464211450709286 0.32495491810471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.274707084114651 0.234411322528578 0.192431838414719 0.139026403831423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.3350171793578 1.06572088007365 5.66099791795803 2.47148366274223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.375152469126006 0.294262355680264 0.415476899578926 0.225515796023311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.188266248421147 0.138538637511927 0.108980101275803 0.053425528764797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119909232189215 0.089833790129218 0.0447793726915635 0.023439036780045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.05970118600547 0.872920858528183 3.59610797548451 1.62825105830055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.303890705137241 0.236391531838941 0.250964822850307 0.135627029906846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.160283225251891 0.123155508002924 0.0704025794636525 0.0388384109790482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.127932829389885 0.0892892248909119 0.0482214412384511 0.0219124450744853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.377743232956793 0.294137448339518 0.367093115505655 0.238640673340393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.133618320070384 0.112956018951449 0.0456158778366808 0.036292336212204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0710052776688751 0.0615984517391569 0.012792193594077 0.01099317122119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0460663090431049 0.0414472616168827 0.00529942002395814 0.00510646588422836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.246712533962291 0.178383533812373 0.177903387030117 0.0891858395504213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0653609408118149 0.0535962758886128 0.0135301979409215 0.00878874662561739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0342164275976795 0.0296189192454995 0.00391324712215109 0.00287539605368781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0230368148240479 0.029528306345198 0.00170716294569043 0.00262305709289539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.19328507840128 0.153658175797564 0.108369792920098 0.0584727654560664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0524280737599556 0.0422873611616043 0.00703416442092061 0.00469502066098801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0287806938101838 0.0238403396477019 0.00215097403952495 0.00175112514528851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.024545886932627 0.021284132096457 0.00197374052782922 0.00169997354811317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.710325968471987 0.557622604967736 1.40143783880322 0.807413177168967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.256369770284167 0.21227306772042 0.174606363811058 0.123300837181963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136234006497568 0.115464762483058 0.0486244703149694 0.037123357516605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0882574495517346 0.0756335667450331 0.0201301124125661 0.016335164773368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.457715914471126 0.337932806348208 0.629790950410841 0.30497143494888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.12142029532912 0.0985663246803137 0.0463063191299119 0.0286813455883091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0624068291635514 0.0484104572337331 0.0129405390833337 0.00755329144015441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0400234657403071 0.0382304925564143 0.00524410657371453 0.00468925984737276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.364243702487048 0.289001961532838 0.398191233959751 0.207113378762775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0976005703091924 0.0796672247917015 0.0249675916410755 0.0163739660206751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0526849833536814 0.0428859176703819 0.00730690150969093 0.005285103068062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.043864765753062 0.0318693326782052 0.00616235025747844 0.00341346554863507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.36054728467975 1.13380596695141 5.66024883060246 3.02448353747979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.505351474084852 0.418655355037957 0.701505591814362 0.462138594635907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.269136341568129 0.227338626588173 0.194242931432048 0.139241240862903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.174386022323522 0.147604713546989 0.0803816287031912 0.0600419544288804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.885646055566998 0.674603200717789 2.48451319403362 1.1308190899235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.237325808992737 0.19232753404749 0.178302596689272 0.105556483610427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.121090300617249 0.0909361657549662 0.0487625938129945 0.0256346943658813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0768289594538139 0.0625222076882117 0.0196844302165307 0.0127758562605444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.707282485746181 0.568581846387212 1.59198313939963 0.762197687719174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.190309748716599 0.156854592013626 0.0977951901018592 0.0616917633038286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.102249369644374 0.0831546907131157 0.0281461350426082 0.0187510995104961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.084403987424774 0.0569889260429721 0.0228771873634561 0.00964931677238242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.90148276834983 3.65229289357822 55.8576833265483 26.248394609358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.47840110005716 1.27789556602962 6.49757121964304 3.89487573133028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.800218277808062 0.680153258006243 1.79125879841932 1.17541385220199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.519454278373731 0.439676636648012 0.738371466345655 0.50639020029752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.53615639756524 2.16574635453792 24.0027469828679 9.74474533218757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.706492730694601 0.576110247317529 1.68223137891838 0.875449636310662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.360795451939979 0.268840636701806 0.447012422977162 0.209860384917966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.229820620083425 0.17354836225769 0.184652983860663 0.0951432026219315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.03123846871843 1.77605285769908 15.640953282428 6.12690314478972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.560055701578282 0.472311856733965 0.924934203552478 0.506917107271881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.300785764731653 0.250932802239379 0.258796203744884 0.152792712621341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.246025689986044 0.168609584040363 0.202789054166018 0.069035272152689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.51275850157136 6.265811820666 164.097526524559 72.5488480173942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.40498430781705 2.17242174807742 18.3777132586949 10.4820806875797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.31532644614859 1.13958096461278 5.00905163461036 3.14150997864478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.85893144189708 0.731947556944183 2.06609108806817 1.35847770603834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.22097366452517 3.80919371987501 72.4744354870577 28.0792646671859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.18555231841208 0.98570914996084 5.09448710100308 2.45285694605079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.608198692221939 0.455469377969953 1.33937864753817 0.578155267498164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.389357362753655 0.29336097709147 0.563240977822372 0.265415616324704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.42036418921062 3.11510374900132 47.61229337725 17.0098701186203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.931139633471409 0.801875750270159 2.7756479649728 1.3484709340868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.49926833530932 0.428804971355792 0.768583032505804 0.412253091521723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.407052714729394 0.294707878600068 0.596769806271976 0.193081514882456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.135150908267177 0.21734034106506 0.0664975638873929 0.14454700499346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0506770566266632 0.080439060654313 0.00892889712226007 0.0186852697685599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0293798046937521 0.0530024178930612 0.00339882244371221 0.00710369207852108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0240473432509615 0.0568621150801081 0.00322990016482766 0.00778561373443692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.11196920559734 0.120594780497341 0.0452106540013163 0.0624271694152492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0368597686105641 0.0570333007123011 0.0058334616045729 0.010843919143071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0287330797086457 0.0728733223969742 0.00567732418638582 0.0148795392965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0389295921971268 0.115347252060231 0.0121819463322755 0.0338296611576736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0808449841660436 0.10053593407557 0.0234299558250374 0.0277754207445409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0270108780259681 0.0366560305766858 0.00311206425877139 0.00384104752761371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0222619503323417 0.0439904035988749 0.00384714675130966 0.00623768995739675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0267252196718604 0.0658170167257067 0.00820433860845469 0.0151216375958552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.169162514074236 0.244161835446663 0.0879983584665861 0.173191728815923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0627799509494775 0.090019307826421 0.0120153302435287 0.0225738898084241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0356159101898135 0.0576491964478613 0.00435987776067243 0.0081873789240916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0277867496336077 0.0592090837539687 0.00370105908727507 0.00822163570629576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.128494681094096 0.139548110603081 0.0533599986931492 0.0747038991996003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0415889101379095 0.0605820399369434 0.00669642830332589 0.0117279849041842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.030802669811288 0.0736831635270139 0.00595767457717708 0.0150525061889709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0398633837708179 0.11556054036056 0.0123377744372946 0.0338790456259862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.094345849377925 0.117840841626387 0.0291405928784197 0.0349825202523907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0305993379210931 0.0404308853709528 0.00360266192290092 0.00434660805455706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0238756360181916 0.0452739318041947 0.00402040263681422 0.00638691818197215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0276548365088357 0.066206049420234 0.00832305551836944 0.0152263264720889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.23381529084657 0.305921531683243 0.151361696099723 0.256718975460425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0874098203920458 0.113516899726089 0.0210082014992187 0.0343419680176965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0486460656586321 0.0691951876867301 0.00709618529027145 0.0114789048823345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0355794612502905 0.0650723113921722 0.00496452846792453 0.00953837032961285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.16325006580206 0.17732932609337 0.0775538768451371 0.107042190147132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0516156124275405 0.0688217157895789 0.00910421590914919 0.0142449132404766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.035052474660065 0.0758935530449211 0.00666272118786907 0.0156153473827608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0417184886888029 0.116284178766189 0.0126923087263197 0.0341061933338868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.123970270913831 0.151579830259805 0.0461860078535526 0.0549686919378731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0383204471571908 0.048658502881475 0.00495694490716001 0.00580729118528965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0273550312202943 0.0481504659214195 0.00447309106796224 0.00680098287549853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0295474095550276 0.0673680712734942 0.00859653265214887 0.0154797789083103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.391178699882049 0.473083821174457 0.414056849137217 0.580225163597547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147716307952612 0.177945361734761 0.0571043680321145 0.0814169581899747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0808275086275896 0.101837227544821 0.0177698442302987 0.024759629686863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0552825469018245 0.0823139144576683 0.00964875036241851 0.0147741348925027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.252769078965585 0.275848861309418 0.176012126984427 0.227944529546535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0776454983658754 0.0926795126645872 0.0183853593344647 0.0240405512235504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0461746289061395 0.082936625031574 0.00915064779360108 0.0178289634885592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.04678781243974 0.118823140267753 0.0138552739143248 0.0350556372977812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.200489858829029 0.237165106453448 0.114727679574014 0.133447300961627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0584452044927928 0.0706380809461098 0.0101100021565442 0.0116233611398012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0367972744330898 0.0566228168432692 0.00609537940982385 0.00839958667318495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0348734933041525 0.0712478278282555 0.0095190312055703 0.0164016138518897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.10553463830538 1.24151417587108 3.62332579275382 3.63196657729003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.413740161451037 0.479683781908617 0.455763724953807 0.574803242531236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.223130525241347 0.262838421287152 0.130904538289739 0.169493868181193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.144510259582334 0.178256135025982 0.0566037182141184 0.0728845197061671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.67286548092094 0.732338749257421 1.33296265472988 1.38067061889955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.200095522174821 0.217510559983313 0.116728041813201 0.127077915586856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.101357278023773 0.129568011600306 0.0331049321910976 0.0414858574162197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0750373815971436 0.137756639329257 0.0238969256470242 0.0451806615554454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.551077722072713 0.625928731881426 0.898129073550714 0.917172825337295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.152790606048788 0.176257580693681 0.0641371333307016 0.0741001187462531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0833851275997098 0.10490165206181 0.0216797208219819 0.0254020092972821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0635756700258898 0.097471390628155 0.0176314871858144 0.0254899833843169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.86366311953005 2.01120565803701 10.9511378969656 8.93694152420531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.688449352512821 0.787095972173357 1.29427478861072 1.51388105700563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.369354404375728 0.430703958275831 0.360511094493064 0.457132694422591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.236776548808196 0.283881169026283 0.149343881381859 0.191360958769485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.1204230065843 1.19983425122363 3.9279865407292 3.45315939698377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.327747821645343 0.352502010439565 0.316970029076667 0.330846225509636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.160761558653854 0.188133966144077 0.079792350178675 0.0897960642253739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.108119791401592 0.166097368003519 0.0423763846731138 0.0658589797653212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.921031780545491 1.01798173626716 2.64516853767553 2.32284896584151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.251238356960886 0.286833918089883 0.174687276510888 0.196859285477254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133019346159148 0.159975661162055 0.0521935060064879 0.0594687667158693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0955024931084487 0.131492871181114 0.0327155716260912 0.0433301138038235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.329226154478172 0.407018233022154 0.299125920441978 0.444226614823085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.123222075502361 0.152249949148412 0.0412607254946751 0.0613625581394588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0676572776216529 0.0888048351458784 0.0131112127411194 0.019072645954159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0471646037700877 0.0753781868707682 0.00762154020593964 0.0125146818697902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.218672563419211 0.236851682627943 0.135494848015298 0.176204448133401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0671276080094034 0.0831248275967501 0.0144129769536716 0.0198712732337713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0418504874185234 0.0801420901258014 0.00814644281983586 0.0168463896884176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0448653435233691 0.11775573393662 0.0133877663138975 0.0345218976888355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.171253550004854 0.203184267740809 0.0859793025090136 0.0990377367493866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0502363736571639 0.0617541066282466 0.00781919070888009 0.00910355251382156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0330657112850535 0.0531077623779747 0.00542657148990551 0.00768971482703445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0328486018457351 0.0698486722380148 0.00916720390480778 0.0159767477787067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.602958525576021 0.706867418858717 1.04050524897894 1.27926737019312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.226265485426772 0.267534911713208 0.13880676380133 0.187091915527256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122701474662356 0.148890184563864 0.041368480581724 0.0550684175708576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0813470684785245 0.109203246208694 0.0196229517895886 0.0267397898459461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.379451370919011 0.412108289836288 0.414944966299158 0.484353392584122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.113421396021071 0.12861622933177 0.0390282470051219 0.0459530750891695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0623626866470828 0.0954124807536517 0.0144864790250524 0.0227663756085074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0548626947502923 0.123546603277136 0.0161841052355585 0.0369850019048283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.306247058730517 0.355844294926959 0.275019266210013 0.306810304138581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0859731293290564 0.101913598182374 0.0211517173973418 0.0248651055417358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0505406091357525 0.0702087741515225 0.00954010684066686 0.0119979708205693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0432845150748387 0.0785228098750793 0.0114440341047836 0.0183111600600414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.18986684885786 1.33036893267022 4.35706808138665 4.25257319581992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.441811431096203 0.512413351962819 0.541159989889924 0.676761817987419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237737739513284 0.279989390039781 0.154551235766785 0.199561140481134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.153612877096096 0.188689145597178 0.0661257887062958 0.0849441250206437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.728919228001176 0.784426449061487 1.63359704281168 1.60777212159012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.213284267854796 0.232301294424231 0.137701767619089 0.148919104093033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.108086272491631 0.136386463462325 0.0384339156917323 0.0466728264056244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0791903422474182 0.141107781235938 0.0260243253705713 0.0471005938976208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.594738527304136 0.676097261612641 1.08600120911533 1.0862566553747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.162719617494128 0.189272891776184 0.0744067503210372 0.0878140706473255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0893569725578187 0.11181506953957 0.0251296405426817 0.0293876368950373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.067623336402573 0.102288621118801 0.0195404211827343 0.0273446898488095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.68095724805867 3.80745862204998 47.6939946989151 30.0260452600479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.33984680064417 1.47887346120599 5.34273682393164 5.27017861029478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.709393867945867 0.813760964268508 1.41216525873657 1.67142770025526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.450568693173402 0.529769702000468 0.560824774844091 0.708429745478794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.23182337148478 2.29495227125284 17.6521196937088 11.7976588740244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.631011255735108 0.675130023893786 1.26980268620241 1.21425070650184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.303740271446272 0.33877729414577 0.294103229731803 0.311261327384605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.191375861626757 0.250875055705711 0.1230450692307 0.162254739976624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.83109266533111 1.95773163677852 11.7932873181831 8.09242223308401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.482983330351062 0.54887511605237 0.688978618861205 0.718652839871531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.254147831936345 0.297926984775803 0.194400469311785 0.212586900784701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.175268071233083 0.224021672457357 0.10254494208042 0.12164377214911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.23742642108857 6.33429628994696 144.515821101898 77.1427570902944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.26344612693206 2.40905843646035 15.970665586165 13.252314726054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.19002481598879 1.3305613499485 4.0819229391505 4.34270829916319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.750634017784122 0.867560681847079 1.57139840887175 1.89404369174598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.82564423536863 3.87135546207063 55.8246039543878 31.5072090193381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07591964297922 1.13573804781886 3.93515693480719 3.33115709206513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.511714654143531 0.561087789529896 0.864319420531926 0.866376241479146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.313822128668607 0.386276977608503 0.330636158793957 0.410134369350806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.15725867801558 3.2890548784158 37.7427317303082 21.1726709129725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.821440078694521 0.911922897242624 2.1085011049252 1.87866560317898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.427043560486785 0.493214492860865 0.571053014124907 0.568041278078658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.290608583782309 0.360346889838935 0.285005708674838 0.309514078158516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.0532974097440505 0.0559279052121837 0.012753285321722 0.0137315693481239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0214292431371831 0.0228072756181734 0.00170938085535586 0.00205612110376396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0119888445492298 0.0128281592607828 0.00045066920880775 0.000612200868723852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0093224463171358 0.00986019025555079 0.000218530132686533 0.000339030881034348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0366477757054442 0.0385832416774466 0.00483675745663415 0.00551892304451792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0144645695084971 0.0150846414890628 0.000639403801876323 0.000743172901814887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0103057356945268 0.0114349610453917 0.000297673894192644 0.000399307304742356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.012136795343761 0.0132498707357638 0.000437267537581044 0.000548728238145926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0312909945701072 0.0328284445852656 0.00419936553213924 0.00367480855137262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0092037115817491 0.00943202053475564 0.000239474671736243 0.000291576614086071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00640305464250132 0.00625261960376984 8.93741714570933E-05 0.000147736450605079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00754802963775028 0.00719679674988204 0.000115505556034316 0.000223364844556056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.111269911449221 0.113362244420489 0.0382431084656179 0.0381457037189676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0433098398229455 0.0444646651134407 0.00522278846350997 0.00576455817418872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0233764776087318 0.0240561624947429 0.00140713015068589 0.00168999048499234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0159325297313754 0.0162640736471049 0.00059223821192185 0.000794985475560567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0677709126215183 0.0703456037790581 0.0134080236448403 0.014242994362261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0217561767169364 0.0225305722422665 0.00133981659935021 0.00152417614319379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0128715410007645 0.0136875592498257 0.000447795555538908 0.000570642786128501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0130904316306581 0.0140064412996988 0.00049463943394296 0.00061487108138898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.059649271151326 0.0608937557870971 0.0112142843633198 0.00994766454549643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0160515516493401 0.0163428915441346 0.000656127640051118 0.000738554335361432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.00954412722231994 0.00926828055895714 0.000194106872916326 0.000280493468338508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.00917086772121358 0.00870806423556546 0.000161545141812791 0.000293285502328814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.196465670690226 0.200659199470554 0.114708934907159 0.105294171298974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0768061401209477 0.0788314247970066 0.0157361051312111 0.016402520195738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0413319892266467 0.0425321369342552 0.0042966068683359 0.00480917971567205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.027021902493246 0.0277919664788735 0.00173399348135221 0.00211432340422557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.1171874884133 0.122001806142653 0.0396246901301473 0.038991849700732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0352965018454725 0.0367703454263835 0.00347993570239013 0.00382750252792779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0182518032941121 0.0190932342837203 0.000900228600690317 0.00108103792074297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0154552845855556 0.0160975318958961 0.000668577763694674 0.000810478564532018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.103700597915968 0.106134121167425 0.032093333699361 0.0281094060086252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.027616857956046 0.0281585962245766 0.00192312315711828 0.00205535333082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0150229215120638 0.014958873770108 0.000515066500223017 0.000659829197803623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.012291778330881 0.0118340769975283 0.000298388746022499 0.000487005890389932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.376864009152342 0.386195327795146 0.435653679228701 0.354099813253938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.147996036670501 0.151826125999328 0.0589585545127482 0.0572787069089099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0796438400330821 0.081875047843073 0.0161090532924279 0.0169235675961929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0514081463344601 0.0529479876749228 0.00644861880157946 0.00722452232280153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.223886254410755 0.233757121688568 0.151505154057335 0.13257726790111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0659108344235058 0.0686898602691639 0.012328494883288 0.012792060840624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0316211724175516 0.0329586643846502 0.0027537488653389 0.00309165001458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.02205407587341 0.0228521855692591 0.00135699342027821 0.00159210707975781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.198201221761066 0.20382654657102 0.11946282152495 0.0974405969872237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0526239110075794 0.0538654132965368 0.00710821440482947 0.00719057822716308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0275010669965283 0.0278812214770381 0.00186134567090048 0.00211023099980307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0197057506242146 0.0197090197691809 0.000868262768612417 0.00120872866260418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.12387803683098 1.14459141688085 4.3562317708105 2.65288485369172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.438065329325434 0.449760355486082 0.555079810736529 0.457749437873547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.236029896939493 0.242347974500206 0.148434726029919 0.139004272238741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.151726228886528 0.156198343889275 0.058984449406661 0.0591043837737323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.668750916127194 0.692320782808209 1.54120992507324 1.01414063035975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.194045708684804 0.201028930870563 0.114589562863352 0.10229810330967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0902077742940079 0.0936655638381156 0.0235483907622824 0.0235510024803197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0554228736583908 0.0580692329910142 0.00895096903078641 0.00962911706017715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.589345251179603 0.605624396428396 1.18921527451349 0.748844314064776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.155361309238723 0.159389207238749 0.0663740852988788 0.0581317562732094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.080001895194366 0.0818508900072156 0.0173537370642099 0.016485509585199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0530193060445152 0.055170273942504 0.00756477490118013 0.00822148711783898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.88746016861776 1.913478471321 12.9825993600226 6.90899527260387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.730114875260902 0.747686259484135 1.62354041449493 1.19827644365375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.392809358282342 0.403067545724339 0.426261826730593 0.370071312579008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.25247517110376 0.259708089076739 0.168225839328601 0.15837717517587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.12702865626561 1.15560368713024 4.6742013408336 2.63343330302729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.324187530676919 0.334637588479039 0.336354568558916 0.270993303723554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.150084352225995 0.155400276619885 0.067503317741739 0.062812499421965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0909429859164676 0.0952510496653222 0.0248215167052987 0.0251201934023796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.992093615546246 1.01431961522761 3.60609208184885 1.93886805778283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.258907503828757 0.265441819446194 0.194538113343807 0.152833054108774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133093333512615 0.136367797225884 0.0506103714358389 0.0434688517807017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0874929996986502 0.0917500057344045 0.0220722540566691 0.0214081961379728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.300789129717972 0.304684275849805 0.289647518475431 0.238797535131245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.116684640066869 0.119205514693798 0.0388145751600891 0.0381333739447418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0624445556590897 0.0638981785510387 0.0105206705515886 0.0111341959149875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0404433766858313 0.0413354937851102 0.00422858507267292 0.00476683209680161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.177534295707987 0.183473993582677 0.0977625284610049 0.0879626951586777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0526911505219438 0.0542580777973985 0.00818000628029292 0.00840894602922678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0256602481903657 0.0265337973323287 0.00187183297373675 0.00209437091341547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0191476771304112 0.0197552697514794 0.00105184046620573 0.00121487700082084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.157438304668062 0.160440128184521 0.0799523784453295 0.0648331082696871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0419641724047827 0.0430211023197786 0.00475208396943224 0.00488222467688457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0220843915275102 0.0222325333574839 0.0012206942800333 0.00143532102845739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0165152611093369 0.0165330052680684 0.000585514128777307 0.000900776593481956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.593245548794099 0.59820132097864 1.20030534842143 0.840143397075097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.229496222113705 0.234399393369949 0.155636318597412 0.140284140667271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.122696184220309 0.125702195038709 0.0416971483746649 0.0415772117176893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0789007578646084 0.0808533273766045 0.0166707870400312 0.0175652842418389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.350520619708989 0.359316736737784 0.409451696810199 0.313647401878815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.10227021469308 0.105247569280766 0.0319399215369787 0.0306310622567225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0477631769109434 0.049386103316191 0.00673458154282983 0.00706932374560081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0311707652265397 0.0322452864077556 0.00289262322877259 0.00316313180106049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.309491946014441 0.315266297215547 0.327430302003363 0.234280977442868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0822470292134021 0.0841561845978422 0.0189017182961026 0.0179750085883363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0424210384766518 0.0430017663348809 0.0048456614118168 0.00505857210157122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0292313148497497 0.0300912316080458 0.00213892017492016 0.00274890964176875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.19229144507008 1.19337821426761 5.23604409221877 3.02812423687084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.457389586971901 0.466259107488046 0.653794085999744 0.523075215509301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.244355679917438 0.250244850687108 0.171688396714812 0.158213448162786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.156701192663941 0.160812770493155 0.0680399657780895 0.0670324597239487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.705309057992391 0.716118334970461 1.80797804905058 1.13928938696831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.20342819405582 0.208674528535971 0.132796492835715 0.115439440195492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0936700899561908 0.0968714829581359 0.0268757870456915 0.0263987201754485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0579894287220745 0.0602876325848445 0.0104284187240048 0.0107016704822405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.62090793338991 0.629091623428339 1.43263479135773 0.851480889728247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.163863826973838 0.167231996688088 0.079143935824781 0.0674041414073369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.08403598459365 0.0852363425042326 0.0202602198204525 0.0187159023015023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0563405712753543 0.0585105093797756 0.00890050990603964 0.00962067308255581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.66525501467141 3.64151298983954 54.0111045671651 24.6533447823932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.37950261699056 1.39050943810252 6.66662019428819 4.11488084056958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.73200186040444 0.74622744529697 1.68999662343326 1.28283016512208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.468452155383309 0.479765945974915 0.65544821891932 0.553576053858931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.18545897107423 2.19162855312552 19.5772911059962 9.2832499476828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.618657484509305 0.628147815161276 1.38180335391862 0.950117660263138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.282749438762331 0.290382925669377 0.266129855154999 0.221818814794469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.171538974470512 0.177705026503498 0.0983488860613738 0.087261017948424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.93308071047332 1.9332655993801 15.6928790411447 6.81911923457512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.495084964991459 0.502468868295044 0.825897945350914 0.534335494594928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.253778202451578 0.256502114357804 0.210717174535196 0.148891720787087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.169136415846894 0.174822707704613 0.0942426150535033 0.0750150839127297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.17989532498798 6.13189384126679 156.738906310965 66.8468883373402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.30880276870427 2.31536925335995 19.5426615169298 10.7358083021572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.21889603697813 1.2352858286941 4.92975663376567 3.31963783115759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.778133981086344 0.794083263666549 1.89220978590124 1.44433587019733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.74274560587517 3.74718679661774 59.8279158416423 26.1439536938066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.05468228404023 1.06801887890755 4.33447416595859 2.64690615581032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.482046086789434 0.492850421202189 0.830676565319798 0.618635249291406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.291594270125449 0.301092184574469 0.302458699500235 0.243741158714177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.333311884242 3.31392488312029 48.426063979486 18.9391671860869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.840348807057295 0.848020968944512 2.57247607041734 1.40266879311261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.430651044711302 0.43425377236736 0.661509800851136 0.394909063151474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.288297875666462 0.297284999410408 0.300619195971015 0.204254545096685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.104130793227342 0.121791921968062 0.0448798420794481 0.0700452778564237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0380487064633962 0.0459698514625558 0.00578174006231541 0.00922961850850509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0210465134928068 0.0302306451103078 0.00182219925832652 0.00363270842506988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.016123889614419 0.0308077054054973 0.00115218828049283 0.00375149531728389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0721789480446889 0.0762058795269538 0.024166315880227 0.0331470532671036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0244235419896253 0.0346086646375892 0.00270961099636342 0.00584881242342893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0197000198233004 0.0395773926527238 0.00185380300339584 0.00779924498022626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0254621810960181 0.0570905133912536 0.00339082118150979 0.016377264065954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.056003240576098 0.0607948662625314 0.0146031184107569 0.0154648102289574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0179450583475259 0.0229476223276722 0.0015474111751959 0.00202084803878364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0143244193207718 0.0268628620788404 0.00107590063183304 0.00290524552650305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0183681074471564 0.0423272279573219 0.00189087712356173 0.0076547517230311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.147529309400408 0.169630691924252 0.0697576965446387 0.100817880151411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0549002789146767 0.0643000749053204 0.00933938306721236 0.0135837265698692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0300855384410409 0.0397582469305689 0.00290824363139584 0.00486949892715656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0214979630714335 0.0364131352167987 0.00164401001207801 0.00425517597609659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.097281109639441 0.105398281205159 0.0328614443437747 0.0455875837132194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0311630469623986 0.0418045106199954 0.00351647920175294 0.00691734385112044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0221672513365856 0.0421673000159412 0.00207853748734015 0.0080597542065129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0263654062009963 0.0580597115531951 0.00348847324099217 0.0164840552044014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0775136788513307 0.0854240750422177 0.0217403412513422 0.022707798357274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0235201259667108 0.0289254271829232 0.00208318082524753 0.00256519709434598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0167476136844488 0.0294108804678534 0.00125124786646576 0.00306730706714483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0194892795554693 0.0436154558805298 0.00198856095344071 0.00773458915796553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.223508350547428 0.250218312562286 0.143009060638815 0.182787061725023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0840902718650022 0.0952874011606573 0.0195714274669313 0.0255045447184267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0458112012754687 0.0560142718108961 0.00596130366011676 0.00828285738970404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0310419204723205 0.0461267550980117 0.00296430950482411 0.0056379376484925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.140401383491544 0.154067236626909 0.0582493043345227 0.0776291036346916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0432210098323351 0.0545901847485378 0.00577085834061295 0.00970945470558083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0270548479478298 0.0473508163050843 0.00267856342766093 0.00875365682974092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0285068167764549 0.0604606330598285 0.00376185913937823 0.016782197305366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.114609116268816 0.12667214580811 0.0413924741256919 0.0426754023044386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0333791946186449 0.0394248848510903 0.00353604017484742 0.00406806654811852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0212010955695249 0.0340288835043516 0.00169712087529563 0.0034949008319363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0218356346422802 0.046093952201882 0.00223477581495188 0.00795806683264598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.396847646616259 0.431659038425983 0.445436614531907 0.484642146175648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.150185430739336 0.165454685011046 0.0604365453427081 0.0714407382042391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0814149435962521 0.0930227566517725 0.0179238831130966 0.0215539025885082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0531309902433056 0.0683868499747406 0.00797902051587568 0.0109794678099452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.239809158902674 0.26383747348812 0.162590306006097 0.194491848269147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0712364618337647 0.0843340402297088 0.0145593747521515 0.0201092132826896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0391420130409192 0.0598652096931656 0.00488283359750829 0.0112669364168798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0344020595939068 0.0669344779551942 0.00472452086964934 0.0178550645341948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.199343740930979 0.218639023786752 0.118937373188524 0.118416701863685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.056209357878401 0.0637938581516303 0.00908387189946127 0.00990342351395038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0319638109546339 0.0450846479787843 0.00330781540457859 0.00509993000839611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0279597341236833 0.0522870041416875 0.00308186816858382 0.00877371944927231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14562839403834 1.20063810518152 4.08409892207845 3.24535529294746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.432454764920235 0.465696740488641 0.513262001296828 0.538225611658286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.233341434855369 0.255112024973988 0.146390548108913 0.161671313160991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.149252987211708 0.168949176614638 0.0603396519004897 0.0681206262641167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.676393650938704 0.730807769750994 1.41177181433098 1.28003982003658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.194981752362299 0.217260936747327 0.110599189737214 0.125051084868971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0954981413191919 0.118006773512897 0.027322002596456 0.0361935349404915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0649113131960917 0.0989896384894124 0.013660378990551 0.0281002445433239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.567490847218093 0.608022598228433 1.01031363236234 0.845384935210849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.156246861714559 0.170969995195857 0.0683817015854249 0.0705675769951923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0816763206936126 0.0966813921799715 0.019613698850035 0.0216526636798797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0584794453942323 0.0835483600168756 0.0110110629197346 0.0169294267891554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.91774588107578 1.97886976232907 12.1592613109304 8.17632177601933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.720091694965553 0.76787322516228 1.46437373415036 1.41538560583092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.387817988335622 0.420515143564259 0.408572661300803 0.435914738594313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.247382663088195 0.274447570012054 0.165353142584516 0.182703725180224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.13251032010227 1.20390543940521 4.20770486891185 3.23496785049263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.323040633639492 0.355171297473219 0.311747475677803 0.326945831491679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.155268950735457 0.181367729895516 0.0725808088087442 0.0853271809445278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0990811451510409 0.134771053528676 0.0308757420774317 0.0480254053205371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.949770231619741 1.00338174759971 2.98018782864963 2.15791252311929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.259247652948704 0.281089952425639 0.191419548192583 0.187578266474854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.133862288133479 0.152391545169087 0.0525547899929912 0.0543196557434652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0919616430030281 0.119126040854973 0.0265408610476718 0.0329780555996946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.330571401895305 0.364681230042961 0.312139146098742 0.360118287957631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.124473619302382 0.13896076930874 0.0424465309671232 0.0520085446395762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0673556193073317 0.0789174648841556 0.0126056604276391 0.0158940542981326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.044392554767033 0.0598074184291982 0.00576322834463165 0.00869368881834943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.2012779423503 0.221107835039105 0.117802167258493 0.144426403571767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.060655167780622 0.0724347521879394 0.0110307768182233 0.015374583946211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0345354484594631 0.0548581069354835 0.00400363856537514 0.0101244833124041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0323091480788642 0.0642372602438639 0.00438913825412037 0.0173034592324546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.166455777502586 0.185681144593754 0.0847929196281838 0.087256843949139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.047595232294017 0.0546756217598646 0.00672057438800004 0.00743086608461564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0278224243564205 0.0408242812647237 0.00264461331548577 0.00439702059086785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0257254600451569 0.0497515264616443 0.00274391258214384 0.0084174702731996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.624632935338088 0.672877093936349 1.16492627975631 1.12822363766054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.235500053215766 0.258262252679555 0.153067014290176 0.174121556151764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.1271469314371 0.14249290688411 0.0444157565007085 0.0516258242496517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0819543980252461 0.0985044940869514 0.0188863771210522 0.0230863332871352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.371982564017612 0.405339418034452 0.414363136109874 0.438033872589366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.109291132206586 0.123618931717739 0.035439596072531 0.041991886576942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0560668843340456 0.0768123500809614 0.00984754328770531 0.016484110868425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0435114252047772 0.0759427585818862 0.00687357722114467 0.0198760799809146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.311289615576712 0.342774828899162 0.298192188787929 0.286142715160809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0869148663689355 0.0969151511001384 0.0215265536540676 0.0230922817490567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0470773697470463 0.0605370068663383 0.00687539676340916 0.0085988693817971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0372514723249394 0.0612296491092671 0.0048688703213489 0.0105271982510317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.23689211695268 1.30074975169661 4.92688252459537 3.85491668697758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.464224725858456 0.503459920304936 0.610726148478889 0.642571388549226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.250146299827923 0.275026709141443 0.172977723294559 0.193048938873287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.159933014633274 0.181354939476275 0.0710220445695005 0.0809545098881914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.731838446877169 0.782609642356281 1.72328387989258 1.49537266499451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.211388018576169 0.232650921311656 0.135932958062957 0.14532353822397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.103053929049062 0.124982996731665 0.0329714682584892 0.0411415397028796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0695085189160197 0.102517175030627 0.0160847516682044 0.0297730144639076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.613959049410822 0.662980484360063 1.22160360576508 1.0109649300815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.168895281735416 0.18536405472552 0.0815449270084162 0.0843290031108073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.08858913572406 0.103795577812098 0.0235549245355646 0.0251724970351933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0632450667331559 0.0877277588726055 0.0128355170802166 0.0187337606066974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.77149856236257 3.86063243816716 51.6318640436116 28.9588002804781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.39676014465496 1.47570522629122 5.99679577626345 5.03927293712688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.748307301381797 0.808004224993326 1.60733670422816 1.60928706208774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.476136339806528 0.524145446169698 0.635157372739781 0.686567575409888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.2535683532978 2.3211641732896 18.6514411974397 11.3002935203624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.636652504697077 0.684221283838027 1.33250282900179 1.19395550871672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.302973877631466 0.336745743749811 0.295018021545791 0.304417577762143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.186923567084096 0.225275509466485 0.11428284906397 0.139569603157239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.89130288935928 1.96723465913672 13.1551079848437 7.60745853694978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.506901310288882 0.543733962542748 0.786453624529634 0.67830436707424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.261791355315851 0.289304700335787 0.212742574611606 0.195559761857218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.176838044586625 0.209677399654345 0.100800889778212 0.104400319247249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.35959933343911 6.46418387619673 152.676308931264 75.97636145207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.33644691720144 2.4341137843916 17.6018030741742 12.9152596072959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.24834734321985 1.32924252739974 4.64814227594706 4.18799452710871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.792605645474197 0.862506775219255 1.79926601132255 1.82645807791444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.86917064875848 3.93451962792608 58.1932697774099 32.7420396979828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.08692403706616 1.15480476747555 4.15113295510257 3.7047599936753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.515165199778067 0.563273659006558 0.8942164603632 0.926658226818021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.313910916789253 0.364350034397013 0.332830441141391 0.586997052578837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.25527569487298 3.33341529334526 41.2309054864009 20.1974671098204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.85901996589196 0.912207070870415 2.40726717371162 1.94378819556297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.442291142211858 0.485745573221799 0.649225350624811 0.706317316731692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.299570414865384 0.346438952975501 0.364727829827432 0.520269031210858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.136561968205335 0.127432493386841 0.0608660255735116 0.0594934492572155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0480640945292364 0.0465366814632806 0.0072304685641364 0.00756464171079005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0263815015157232 0.0262585276011503 0.0019855219609529 0.00235297199021804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0195508036527136 0.0198809626345166 0.000893214904717347 0.00133139091996935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.0928013005996805 0.081658081300628 0.0284318962295549 0.0229259428396253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0286120156549377 0.0272197955445258 0.00244293671946903 0.00257884450856285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0226044839153501 0.0215727813955631 0.00121768469922064 0.00155352168294495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0275465678845189 0.0262215806957111 0.00158541195162586 0.00227118702076044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0685983991001135 0.0647624500419882 0.0161368344642097 0.0131950129003132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0186865903731691 0.0184059594283973 0.000997659606158841 0.00105555815923368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0127818770058503 0.012976198133422 0.000358031146539826 0.000598657247617941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0143549724149574 0.0149001615931546 0.000349332888339406 0.000879579883179599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.171252622744827 0.161391676769857 0.0872780784710347 0.0831570585224273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0614746006398896 0.0590188407624119 0.0107981002441539 0.0108849638913927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0335322545791881 0.032580607434522 0.00297916466878511 0.00334212390292893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0235608064387498 0.0232959682251331 0.00127262858051972 0.0017514144236423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.112153801966976 0.100140196937501 0.038735709433791 0.0312642737546657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0334572236732161 0.0314772242920807 0.00321033099219762 0.00330664020220659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0239902598189406 0.0226752657175309 0.00138654777086998 0.00171476457748942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0279850496540889 0.0265330568970387 0.00165300731317582 0.00233169292344729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0858246346358001 0.0820251580509491 0.0229599049054737 0.0189177574020194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0232952072180197 0.0225949702422592 0.0014709898313649 0.00148287201712142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0146240468704527 0.0146974415390744 0.000474040047272602 0.000734094723729217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0152243603075976 0.0156749915974145 0.000407176885223744 0.000950928359656758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.242726159536501 0.229113311235505 0.166276311445341 0.149160930701922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0894288585521334 0.0852523160624861 0.021395338134522 0.0205409936619018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0485235545316881 0.0465311640831389 0.00596001930587428 0.00623652768187531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0325028450838949 0.0314310063308195 0.00242714596002774 0.00297934218705428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.152876203262563 0.13895969392123 0.0687208240531033 0.0550039198695372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0442406219458462 0.0416032115650412 0.0054363076984685 0.00542469380409213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0276812403069302 0.0259039024786732 0.00188309133962406 0.00220997727520025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.029203462556978 0.027548469761832 0.00183914197670599 0.00251998829744823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.121529464228202 0.116200394752331 0.0431760889899535 0.0352077144805106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0330089471158043 0.0316032511123953 0.00285699197881649 0.00273030419029029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0189222189443122 0.0186266414615029 0.000820411623780053 0.00111263071917609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0173631122987935 0.0176820220443224 0.000566500117411082 0.00115590308231997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.416405233797303 0.393790337111957 0.493311489037719 0.398623539826507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.156608193987342 0.148568556653877 0.0641924600721778 0.0582571478943141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0847983072628426 0.0808178105981542 0.0180597091202867 0.0175521206897958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0550513178160718 0.0527447457070377 0.00718451556444232 0.00776246332302927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.25544231929305 0.235690069267711 0.191445283418321 0.146109712798618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.072258241371906 0.068234791463098 0.0143963694498514 0.0136434463855915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.038923107667737 0.0364688323167746 0.00389204391728223 0.00419237673041641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0336631585112685 0.0316640145836508 0.0025798536040316 0.00329640471895568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.208037560605364 0.199349082842498 0.125348504264946 0.098516942237641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0567655468236457 0.0540422226125581 0.00842579456904404 0.00762166527294485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0303678078000056 0.0293321800409899 0.00224877928965248 0.00255843075135094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0237084990484926 0.0235835945709296 0.00121067597963374 0.00191200306612784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.17310849192347 1.12518657961206 4.35150071004629 2.77652570979404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.446876124775835 0.423574507657513 0.540029781417823 0.440269677326252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.241975167957868 0.230500698402805 0.151157068224715 0.134270225437626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.155037118681552 0.148235636025531 0.0601178735470329 0.0567916309470926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.709786406195504 0.671175340388822 1.61418857116311 1.04201901441364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.199319334539636 0.189764923491948 0.114168705824575 0.0969625325161213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0971897619863839 0.0919503777991152 0.0262933536146507 0.0244549403211453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0639929324333311 0.0605684773572927 0.010792117315792 0.0113082923507824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.587447812850505 0.566436947276199 1.08860606452654 0.722360202395049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.160442525820725 0.152668485686532 0.0698735286586972 0.0574480650926308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0831014466709466 0.0795528427755951 0.0184008245706781 0.0169698417578017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0570946531725394 0.0552257203961815 0.00862154611394408 0.0091661470099555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.9441015962654 1.88411612595256 12.7379558117682 7.15316384995583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.739499104116265 0.703561039019504 1.53223752912878 1.16081093729301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.401198510589114 0.382314778985667 0.424582378412463 0.359261007658355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.256841580888197 0.245548816930993 0.168504172595438 0.151975794414199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.17387475233254 1.12675201957508 4.70322025827042 2.71997562148298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.32943137396091 0.315089833516621 0.323297848066983 0.257387640733994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.159114952374095 0.151065233132503 0.0729545135128622 0.0636338329899455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.100132485977147 0.0949061107395335 0.0280181186658682 0.0266475015200804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.974789843424572 0.947408468013478 3.20248270053551 1.88286715499483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.265475451386342 0.253110484028675 0.197888651305342 0.151574719105193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.137292561405366 0.131333710718021 0.0520997824479673 0.0441960152125064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0930636101337414 0.0895386228938603 0.0243505192682617 0.022631504377606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.345149723236661 0.328760871362455 0.341128431978458 0.291209032928043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.12846364453669 0.122762500940562 0.0443094620945697 0.041589602011084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0694878611376872 0.0666717089053619 0.0124557881499527 0.0124953616499183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0454441427436796 0.0438081318895908 0.00498706964438047 0.00561498072458663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.211823282071097 0.197066959113705 0.13264173634165 0.106287677979654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0604570921663376 0.0572685065920563 0.0101946385885503 0.00997905973967933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0339321891510231 0.0322139870747674 0.00292845773145767 0.00334242728243745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0315076783130851 0.0298713065679535 0.00220420841127085 0.00295334399634993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.174103578884484 0.16566315524973 0.0887657546636132 0.0695877926902661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0470428429217846 0.0450711716466891 0.00588530203920745 0.00549503496216194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0255649751611516 0.0249659450556968 0.00157897978587924 0.00191217560759573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0209525895245966 0.0211324359566125 0.000864878110225261 0.00155795516086019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.638733260699681 0.611257671434231 1.2362465809653 0.927427766331014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.240495149672668 0.229590471921087 0.158066856663632 0.139939456989537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.129863349222639 0.124449195248529 0.0445382880789774 0.0419503657739515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0835391127728934 0.0802371980152412 0.0177238372771978 0.0179565445769613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.386421123404958 0.363948257760861 0.460542290795563 0.34017778244137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.108906018294701 0.103456559741609 0.0340539859551977 0.0310469763324267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0550466781699493 0.0522643793575358 0.00823458642023405 0.00847891462873597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0412188593784185 0.0391855003125152 0.00412326330738714 0.00499169803984412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.322770918407237 0.3077656209505 0.316630511056607 0.23078427946352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.087515175822904 0.0835733514648642 0.0208039683951027 0.0183848980932004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0456379811123403 0.0441454173574939 0.00542065118505793 0.00561962831245135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0329617287517761 0.0324768382559785 0.00253272283518152 0.00339804117609652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.24705144036329 1.20358923662449 5.11967060754817 3.26200260333593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.471641297314259 0.450239195159312 0.62935838810954 0.516533549680145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.254823105810659 0.243937733385668 0.175967826695261 0.156690569509621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.163111162581747 0.156422807360853 0.0700606221692079 0.0660244137684928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.752860402354792 0.715519118143025 1.88323727738648 1.21104123988426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.211167131955645 0.201271290718897 0.133531837349285 0.112491713387486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.102402943577101 0.0973869473224997 0.0302939037077986 0.0282196447070969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0669478392331854 0.0638591340381549 0.0121365563783114 0.0128717915021874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.631991911029101 0.604987741246354 1.30734862353072 0.833181042738472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.171362882149655 0.163587308758807 0.0823915114895136 0.0679572824911274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0882577243826588 0.0851534276594983 0.0214442814394592 0.0197876986547217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0604231399597438 0.0588224468786916 0.00966688834977055 0.0102771862420581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.73771631094901 3.69124837639855 52.342093362489 25.9579077739806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.39526482322987 1.34577485292965 6.06915845860387 4.1344012020477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.756134531728345 0.726051302486072 1.64859303785137 1.29450130111043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.4842952115577 0.464707657476908 0.650108425410467 0.551046987615063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.26896823806588 2.19764450731146 19.9182823588646 9.73172197726985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.630715251077683 0.606861319740848 1.34008807175882 0.937846300582094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.301553758383222 0.288681314557852 0.292339832042489 0.231743386476285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.185657371672651 0.178020349641668 0.108651540394648 0.0930310523088623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.91435929175542 1.86349023420591 13.8878942200328 6.70230553726904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.510254164818888 0.490863193121385 0.810968713489376 0.549231816519068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.2619560388397 0.253862220209573 0.208532526248946 0.158150157769515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.176590415846857 0.171851679750463 0.0947354049270338 0.0774336984888757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.28147084134062 6.24831097283702 153.889540499366 69.7481007790062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.31009450057885 2.24855197302024 17.6129585206859 10.7546941640749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.25026745383665 1.20667853325564 4.71614013090678 3.389289734331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.801254850174452 0.77086353921846 1.84663448477321 1.45545131554288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.86277286668439 3.77415932367523 62.7560817737163 27.1295007127584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.07077766558568 1.03366515302077 4.35337659561814 2.60656835772116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.511713942843732 0.490305974882345 0.952729906327935 0.646745466516217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.313032386370455 0.300414366217223 0.357554541097365 0.257012646278132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.26966364074706 3.21051916834667 43.0419817646516 18.3308471418997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.857777961982146 0.832491967820571 2.47430104425919 1.48918793944804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.440216197462291 0.429944606739019 0.632370808574145 0.435541360200546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.296312678987349 0.292266944495367 0.287575272499939 0.221804116409781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.15283090536857 0.17538936486516 0.0922191078085495 0.126393174567606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0575962371944559 0.0663015040320842 0.0134343999449429 0.0165123889068026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.041301319430465 0.0504509225583547 0.00890755886478827 0.00976931929440278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0457392694447885 0.0588782438555099 0.0140578202816773 0.0148471823218884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.113489556878667 0.12123852302359 0.0542373882888693 0.0748981727214475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0501946396293936 0.0599648757071511 0.0147327319577935 0.0187972114015212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0603324466320788 0.0771091944162747 0.0287714642134096 0.0342490278087235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0875980846236713 0.113488946418288 0.0618786388214751 0.0690195078452869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0866930467233962 0.0919411375279741 0.0340023778499283 0.0296604690200233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0366301365072164 0.0418851172894527 0.00782513288149373 0.0069140676722792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0476825313352349 0.0593304730413664 0.0193801403719368 0.0189234569274409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0761436330213369 0.0965649143386107 0.0564368412972703 0.0557292860228228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.187463227793208 0.208940299987246 0.185782193297038 0.247375059546649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0702149525064392 0.078847781315814 0.0202216226622107 0.0288898323828433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0475353563803178 0.0566935466025977 0.0106452741564649 0.0126516797328395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0491277519867277 0.0621873897345839 0.0148999705907473 0.0158578765565798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.133955642594982 0.139452498075455 0.308937797207103 0.0864927780821317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0556155165366128 0.0642068065657 0.0504389909469726 0.0198343146802926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0624578349385387 0.0784179155918774 0.0399802169641131 0.0345208746229469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0887052053282092 0.113972013875326 0.0697201153044232 0.0692363008914197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.103365405490298 0.109597155442467 0.060789200365536 0.0442224819375806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0412218848593247 0.0460202871710872 0.0202025712149672 0.00889387823161412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0498373284634049 0.0608658475921901 0.0289570585045674 0.019752285943115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0772870295540568 0.0971842652932163 0.063737981550328 0.0561855280924462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.28056977423132 0.285763189440051 30.509785268733 6.85355389434395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.110892327645803 0.105242844170796 6.76470203284687 0.132166034198427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0717139513240751 0.0697067297618997 3.16558701572843 0.0209402142563654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0641909035427674 0.0693086757934466 1.50874141402057 0.0175640142298703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.21739595875235 0.177183900262348 55.8499965751975 0.137343921976321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0837508285242004 0.0736346679199337 9.00445904398346 0.0240103045767055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0755771063694572 0.0815953867996697 2.44598120196298 0.0356108856355599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.095703272574592 0.115134407834661 0.9350225414138 0.0696639490370912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.143106885535363 0.18807338641417 1.63673658445751 40.0488704525981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.304086674137201 0.223909876801862 3074.2945319791 741.638635600105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.235920130945821 0.094780890993161 1582.63698422127 30.7133422273445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.114235695155626 0.158517843955289 52.0310972333857 158.040450882509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.421974968524308 0.446073498355619 1.98885381920716 2.45154856232109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.158303100677782 0.169586519187999 0.187028545976856 0.51434600019329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.092259235589787 0.103216586697387 0.0342033874151349 0.170593727447427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.074556955684516 0.0889990594157 0.0234582138444844 0.0907628571029972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.271696639503816 0.270924791178104 4.32522918404268 0.26284885645821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0922125074426699 0.0980137760647902 0.52074656608945 0.0411569919733354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0762501387265108 0.0907576793308155 0.090745311066666 0.0408557875470455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0940918192307311 0.119229398348711 0.0692019162886915 0.073921464935547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.219096899347354 0.22917658128397 0.567722651068646 0.20345330736113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0740634563152324 0.0760551282584193 0.695896002069652 0.0396985732891902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0665409544158567 0.0740706954145003 0.63456716393016 0.0551974540080779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0878138614437105 0.10452528991425 0.564646512830447 0.0952530297468605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.14165034198118 1.18754443700678 5.12556352107473 5.70455822934128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.431491512668885 0.452189783346072 0.987357716858506 0.943147634202626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.237420710707059 0.249952270885305 0.342317733547393 0.174441625813722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.162256653948372 0.176022923847875 0.161006342005645 0.0710588124538897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.690451927596713 0.700875277224025 4.34839794206353 1.26094790967251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.207719844937356 0.21319567208609 0.641848877058635 0.122447321436013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.125903546364135 0.138541315049255 0.236679510420608 0.059481567391856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.119446560872862 0.142326537361892 0.148756719458586 0.0802723811696488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.574403722491882 0.60913788006263 1.15181596747753 2.09250193526439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.162164291411847 0.17874875088092 0.100554735157614 1.01015851238656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.104607425086058 0.123662582390824 0.0557860284740643 1.24822473787621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.108607171330169 0.138501461680829 0.145563227427457 3.66211655821167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.88732064429764 1.94058060895693 11.8573639673843 9.44708671074826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.708623565654839 0.741356002524975 1.52759621499991 1.47104958704729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.385825657307146 0.40471281138949 0.451217840753651 0.402518808985507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.254161488724638 0.271533785509816 0.201973751450239 0.171863587997443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.12424504462104 1.15095030143928 4.91935388298291 3.16930825606542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.327273538062738 0.337324555820673 0.466052971401103 0.297415299237714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.178535443680014 0.192772997409851 0.159310212123935 0.100558815437347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.147692611297643 0.171399512254807 0.120212109548846 0.0971456015228968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.946957371835201 0.988286384055571 2.90572371031013 2.46348532875316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.260442018975182 0.278222554972162 0.204298404522101 0.369941884667398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.151609103615313 0.168408648356561 0.0817442296666542 0.232919606679919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.135626450255664 0.160432924252527 0.0998949624476468 0.282063749833113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.361792473661482 0.431089236210874 8.86211216042884 80.2213043358255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.137569715634235 0.171147329748523 2.01948189551112 27.8900373913848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0838964562982861 0.109337775972625 1.36221550660503 17.0577896783715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0720498276075437 0.0960221331076749 1.38513713431863 11.3359218952591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.06181916585939 0.742532581935146 33605.5105043073 12266.7564639364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.158642103390903 0.120111905183243 306.208182390978 50.7437408771833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0936564863841017 0.0893571678562378 20.2726594808826 0.363990815924059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.106486124677991 0.117528087462192 6.11900572068802 0.0752995763064004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.73268402761519 1.80376033600428 454429.066179364 73533.4540640561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.309222388865511 0.06791396917252 1958.14210086334 0.077314273626416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.112196683824906 0.0695236839944535 111.351541236346 0.0304595128348141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.106210557358587 0.101893451746492 26.9773396420801 0.0764499852789847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.629675344800212 0.673050627812902 2.79271908866127 5.51088090568257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.239293020054979 0.256018488207742 1.25627416625209 1.72279305913033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.136095217359154 0.146834739065355 0.648594404105673 0.269196167378591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.101209431121002 0.113213136695704 0.327143325110254 0.0354072847775789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.398276512940218 0.401167061978583 10.3470272327407 0.471464458689653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.129075348195172 0.131252456746868 1.64726082743932 0.0517268776784136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.092985734671283 0.103941398343967 0.590412496943216 0.0421799444255845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.103191441222615 0.125027438263892 0.304722638532863 0.0721831830458833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.322347972339895 0.351071620934979 0.619049662314576 3.23478343676935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0961533375539803 0.114285099451821 0.0884565413722994 2.87196733064361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0744825642880935 0.100596175444088 0.106374008536908 6.32532655946856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0942504143957903 0.15070878689845 0.64836871578594 63.6225552322101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.21541256326451 1.27654097859996 5.63830178527458 5.96428544932609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.456198360591912 0.483737786389325 0.936110392760422 0.992099035433288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.250145500320189 0.266679853997382 0.311869247902932 0.209431146543007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.170186334965491 0.185896208945433 0.149243056548351 0.0814428705106483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.731684292707749 0.758318466075926 3.93978497493251 1.51791170684258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.218754624802949 0.227583620948592 0.488669787431199 0.142574875186752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.130778467206818 0.144583025132878 0.195009792539212 0.0634806972037543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.122266126032743 0.145589984973683 0.142518659551912 0.0808580093078073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.612972474792028 0.651119003596978 1.29402947270886 1.45513775221737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.171661028855107 0.186951065405415 0.103159570632142 0.364207345001402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.108647209970557 0.125837779205876 0.0529761786011265 0.360702804232722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.110464193416456 0.135635739713077 0.085531759002149 0.539876148977084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.66078290279423 3.73795193704476 47.8178898328864 30.9628335937963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.35090502671326 1.41460333641733 5.63250469448238 5.22077279274695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.728189875466854 0.769003645720336 1.58273828115562 1.51380617698442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.469551175750289 0.499720902902517 0.6623583506028 0.617030902943736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.18610632198275 2.2388153324476 18.4086267570363 11.3640822228636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.620671134543241 0.642515023256199 1.46385852613442 1.10354348578958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.311507308558366 0.33127733047141 0.417083756441457 0.295725738245144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.222976462711186 0.249644364594558 0.239460131638192 0.174456252928007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.84212523369504 1.9056440341202 11.9854804752318 8.11911173156406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.493840802422767 0.525065127303987 0.742961466074785 0.846035586343718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.26722500662778 0.291619413125057 0.235468104242941 0.377135099168275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.209038807722605 0.238495121694443 0.183082296907552 0.389202741735197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.17512870396057 6.24151594898679 141.687010481647 78.1279684777308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.25095019493404 2.33192481616459 15.9477682975666 13.258800503074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.20779328320228 1.26769835876081 4.30771039875528 4.01198097146822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.772659892249304 0.817916043872221 1.73500722870059 1.6596678322376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 3.73611608066333 3.78331867717333 55.165064212826 30.5324913878599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.04918207642064 1.08069553893893 4.10658158294933 3.074578407356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.510823649785058 0.537426328821291 1.03672510071478 0.79566323779923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.338322929459591 0.370152928426136 0.494161935128424 0.378737014813625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.15346325119589 3.21326366165322 37.5766124009583 21.032523668155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.829229233163538 0.875064870670953 2.18163295704963 2.11367739431144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.438037115146437 0.471534441517783 0.637956762249842 0.795650615381305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.320864902160378 0.357427930160093 0.399246439915921 0.72369077834077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.11924890364646 0.115461158063731 0.036493041116031 0.0439296189117369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0368915411675109 0.0443099689537194 0.00353805699400395 0.00656846667293483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0198991079132327 0.0259869544009702 0.00102940325100442 0.00218853734104739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0132341055883607 0.0209690983587973 0.00044396328451942 0.00142986667743622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.108238584668071 0.0606296651426423 0.0382427343556749 0.0133131584915061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0294398163258114 0.0223303864858662 0.00295954161094539 0.00177467908191281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0157211453304873 0.0200485377082356 0.000827637587280368 0.0014115195214152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0132561464811217 0.026927363336301 0.000504834216543077 0.00240227777056926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0617912042477728 0.0631197912304623 0.0106395603224916 0.0100952072992777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0187093105349346 0.0159101010330615 0.000948406349221308 0.000702064680978922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0122294496711783 0.0130439585631417 0.000430857783521827 0.000617527085318702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0141667309043337 0.017938547348129 0.000732043534475707 0.00137209404057165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.174485611174452 0.141150848446524 0.0705689869450844 0.0592091655782345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0591208701626935 0.0546817481887326 0.00813515721892471 0.00908520192581998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.031862119125285 0.0308406771300906 0.00237193112086719 0.00297102370278665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.021241668109609 0.0234121646206624 0.00103390584219305 0.0017755380687314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.134662806176925 0.079156254892798 0.055880188304699 0.0199620962716518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0364134824616318 0.0268192702431006 0.00428256820871603 0.00252349625592728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0191129785413617 0.0214128772270269 0.00119490404654086 0.00162814026833566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0155874747134424 0.0273415486148973 0.000732960181387268 0.00249599646771236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.0857618020898299 0.0765870413632505 0.0194543000439736 0.0140499812553045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0246755705005231 0.0196218113400108 0.00155182095376895 0.00108109932480942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0152311107544646 0.0142687405373245 0.000640329895394989 0.000736580275448997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0160315460710021 0.0183895014518756 0.000878219174587952 0.00142395955618487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.273034227684048 0.197510044681447 0.181904458092947 0.109465373322076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.0955966599807543 0.0776377348780867 0.0219977383587363 0.0172128773469754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0516773764008748 0.0428534736259561 0.00639163114782627 0.00547137312352598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0343965131757933 0.0301158025040429 0.00278889628513273 0.00287277406939835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.189217288341587 0.115618734904583 0.108048474593036 0.0400978368847156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0513786153774921 0.0378088139147454 0.00814001063783105 0.00483765453118663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0266839923042935 0.0250389107379376 0.00224479817198588 0.00224801996951826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0207647324091893 0.0286493178549371 0.00134037309621577 0.002770248667645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.131249505540253 0.104023213068761 0.0465213237410436 0.0266789590416521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.037075733745603 0.0284230099526716 0.00345411386714263 0.0022247262289673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0218039149270156 0.0177660971116672 0.00128843357943641 0.00110265730664005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0204457474508716 0.0197185734671009 0.0013560485364712 0.00159775545440237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.496516052684082 0.347629912881493 0.653919276201191 0.318563328262537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.177143301394783 0.137134268591742 0.0789424512414757 0.0508742201221725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0958311482728516 0.0749519235292578 0.0227925146316632 0.0156888997774438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0636044367626995 0.0498540887745938 0.00994302090653244 0.00733824260734576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.325622917625597 0.204453874496171 0.317619619686188 0.119926927756444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0884727207212794 0.0655127770052396 0.02337284132379 0.0139340335075075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0454599226619538 0.0361826997867616 0.00633703384902532 0.00465411760904899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0337100319882169 0.033294436844043 0.00367914823133051 0.00383451297491951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.237376031991739 0.175743746868885 0.157988906812001 0.0770470780247466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0666211036208172 0.0500515955176307 0.011252344003265 0.00673481295325155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0378199235049434 0.0279031333492679 0.00389652865939829 0.00252001124456129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0327120734312753 0.02413653223382 0.00332202481322239 0.00227168950922112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40052636677028 1.05309829124508 5.97991613206373 2.51838527509103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.518050853300078 0.396732677675766 0.710964823462343 0.406418225083566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.280631616089439 0.215318824360808 0.20286781578309 0.122814275829687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.186066643919809 0.139529715380073 0.0883924566096785 0.0532460295443335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.90991734212993 0.61711486842449 2.53726621052156 0.955396489186301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.254444954226599 0.188260093450689 0.189872515381068 0.106644506084289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.129710170987881 0.0928408277953091 0.0500844098601628 0.028932943793662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0941082711025389 0.0632625578762068 0.0289040220623276 0.0144152039244936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.681697203364871 0.499988308611666 1.42621804950846 0.584756876705051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.192484982249572 0.143141731530303 0.0974690480287036 0.0524070872990815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.107542966950732 0.0770621176790953 0.0320486411294005 0.0167027187537901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0893642002718663 0.0529344772182021 0.0246923023593117 0.0090070081127827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 2.26494945430625 1.84029806103893 17.0912186217005 6.96019216629789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.859401561725578 0.662750340554352 2.01315224088004 1.09248246527942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.46647710770775 0.357831329062508 0.569976361684066 0.331911899889193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.309197853834256 0.23126659485829 0.247621269003621 0.142763835268832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 1.46681492498036 1.08386178174367 7.01410773738298 2.71971872586059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.42418675222721 0.313421364834296 0.537236052994095 0.281693852428365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.216154715429905 0.152348581915129 0.139485480399434 0.0754940091369246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.156277705105705 0.098378238636336 0.0804172767948931 0.0346394448621551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 1.11812464553386 0.847576013503626 4.14179416640683 1.57260730267147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.319612811630054 0.23771995702738 0.27633131286136 0.138210096569651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.177720042113166 0.128821524518774 0.0887971063510153 0.0440817652486662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.147782513977154 0.0857006007128597 0.0682563614215532 0.0214287032439772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.396563743113774 0.278906247166141 0.399450322082802 0.210212690702626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.139571920005136 0.108607746976422 0.0489686453297653 0.0328232877788658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.0755739600722979 0.0593419621328985 0.0142766472551539 0.0101651732230636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0497709131311817 0.0399218875938876 0.00612921158984705 0.00489260901817658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.26202411851972 0.168729210863616 0.211738148728679 0.0765753319834632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.0714532026887989 0.0498258976068493 0.015697083897266 0.00782776229171019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0366487032285082 0.0290699118278903 0.00423960992056231 0.00298647343624967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0266108901465642 0.0293861867820331 0.00224008698563237 0.00300532205011937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.189497174487232 0.151279575764235 0.0994143152663791 0.0547086409867518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0526204367683229 0.0404275323780195 0.0074692577440366 0.00432106600011031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.030577241873144 0.0230623460031765 0.00253328619428405 0.00172624881931296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0274529587328262 0.0227493528823066 0.00224301709959916 0.00199157760510773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 0.742216040979484 0.522228896878834 1.51259040860255 0.681627192284031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.267848500534907 0.200035154700027 0.188472096121182 0.10720216512358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.145065678706153 0.108945394009961 0.0545808583929512 0.0327830119162748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.0955197400189648 0.0713461547662959 0.0234349212754242 0.0146945905284454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.486452189996481 0.317971248143734 0.734228813344406 0.25535504163474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.132465139936437 0.0924098486643548 0.0533876345117678 0.0255760140844257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.0680766599233205 0.047680788660176 0.0144237494406197 0.00766346611959937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0478326656839796 0.037480076918266 0.00748974966372568 0.00499387862349463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.36024809371379 0.276729967690869 0.37341243367835 0.182507074524208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.0996549280830273 0.075665403990166 0.0274504208351552 0.014843671837015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.0575055801830262 0.0408314091344108 0.00897412317170847 0.00492728562775707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0502409296761591 0.0334885860919855 0.00726456930687879 0.00387144206922112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 1.40743104469647 1.0726093712861 5.98303534390604 2.61281211660807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 0.528981880113732 0.391982486597507 0.759437100763808 0.39795529463353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.287210724285954 0.21285330618527 0.218720921014409 0.12111160295493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.188895853933174 0.138170645844603 0.0936872412453701 0.0526271854259691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 0.936626734402816 0.645756120379051 2.84319233509233 0.965822510128309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.260317229585119 0.181006532641416 0.20782457770717 0.0940581772900362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.133768821288632 0.0895430622826893 0.0556402217944279 0.0256429480118953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.0926279200449632 0.0604883301473547 0.0287932146129232 0.0128415744649205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 0.701654058425496 0.543519268095881 1.51383347938445 0.670534212152107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.196516031701596 0.148195101390228 0.109686200680677 0.0555143868483221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.113124475691196 0.0790630057232863 0.0350695482085539 0.017253054023939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.0988553323529981 0.0596415023917878 0.0278709480899659 0.0110728917492655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 3.95475402138895 3.5528107661617 57.326471941452 24.2285765347763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 1.53175021015854 1.21752980136625 6.88478834425716 3.49286551146791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 0.850068996254113 0.643662009698625 1.99574276858585 1.04496721998963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.562185425121447 0.41292907294556 0.855634339579987 0.445638108086417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 2.64703696034739 2.19003689838619 26.9329091106822 9.3337796766971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 0.777519534342979 0.559571703033594 2.00014410895809 0.832137130779812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.401824527561803 0.267718462056815 0.525339569716024 0.213037741872771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.278362298723668 0.169430804014065 0.2721126458224 0.0939520658671883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 2.02562511333578 1.75602004086504 15.4097418174984 5.65136879207198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.580982025228381 0.451166015664742 1.0402904309447 0.465174667206935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.333458803117482 0.240169226666463 0.322954763767173 0.147001860241399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.290362181870396 0.179523842155256 0.25123210532859 0.0898735943759004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood2) 6.54296795486606 6.21207783427814 166.447248343331 69.6920593646192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood4) 2.46818853319963 2.09812866043557 19.1742182853042 9.68718452294613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood6) 1.38733541573735 1.09426469311067 5.49837990426165 2.89829797039805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 1, neighborhood8) 0.926084489593127 0.693652698653956 2.36513509212924 1.22029793105466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood2) 4.41435032371564 3.92500500467527 81.4916543319334 28.3936994624068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood4) 1.30271982016375 0.990446421072548 6.11045559047003 2.53623199873376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood6) 0.674437742926373 0.465615297479498 1.58140612069881 0.63333848042582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 2, neighborhood8) 0.465251754672284 0.290610600335876 0.792149522498523 0.263840784881884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood2) 3.44158621007865 3.14334811968513 48.5669285265148 16.583445793719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood4) 0.957877811830173 0.781340753642936 3.06016278869111 1.29394487661923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood6) 0.548444403972641 0.417371774185106 0.93166127864594 0.418195745445011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax GoldfeatherInterranteEstimator(method 3, neighborhood8) 0.47290885167436 0.320530707790199 0.717250542559299 0.284084931181348 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0259947593197741 0.0136649790320172 0.00269579489494816 0.00078269608588457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0257724490928678 0.0142167630800415 0.00260981130414664 0.000849069732872646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0260467885194838 0.0136934210714306 0.00270674244826575 0.0007868324847914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0258146316673631 0.0142480141396848 0.00261981891975792 0.000853596055330118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0260963286481898 0.0137232703160243 0.0027188540701589 0.000791879883020866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0258592721381538 0.0142767163688755 0.00263180694195385 0.000858761719467244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0262388151673068 0.0139271242253173 0.00275643010455281 0.000816366593850237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0259895173459634 0.0144735165277685 0.00266965675870256 0.000883592301290364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0271781159206301 0.0161353364700921 0.00302848817779318 0.00105383994701096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0270740346716341 0.0165120507803416 0.00297323253152274 0.00111802404227006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0295205752878283 0.0199609524211979 0.00357971059153158 0.00150101942000985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295977366383708 0.0202451250588551 0.00357896822426874 0.00156984781531855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.026172677489949 0.0137094436444565 0.00273894943459674 0.0007963419721184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.026004082527062 0.0142821280975583 0.00265944363604498 0.000864043942579569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0265183036794635 0.014165443362556 0.00283287086243131 0.00085137555686922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0264072117928146 0.0146788540462247 0.00276332332458766 0.000917013959771091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0282025791930866 0.0161366041071296 0.00321571297563342 0.00107346259037027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0282463280015942 0.0165221101080369 0.00317869146897014 0.00113722534761801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.044515755710123 0.0321087992301843 0.00710675588070022 0.00327043303419669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0446560321349691 0.0320540043865422 0.00732732728446592 0.00335330517629648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0665749410984072 0.0507625726880939 0.0138397431984642 0.00689052411384536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0648298414530301 0.0502644391651388 0.0143473058993181 0.00701478738295367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.6600636747206 0.661175463551975 0.634353633807299 2.37869480481595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0262145920634137 0.0394965809396873 0.00237204066780559 0.00467978347266662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.659685639734445 0.660896023946259 0.634683286975038 2.37731551992915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0261813532095931 0.0395586439834941 0.00236761618136441 0.00468726119422668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.659646675856019 0.660932774164525 0.634549209170752 2.37735643692549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0261593334137494 0.0396847420122406 0.00236536476821015 0.00469804389943547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.65954070164091 0.660983143247864 0.634189239591192 2.37728716435273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.026097659748821 0.0398794653966194 0.00235879259052299 0.00472508155782462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.659138617636966 0.661242456331392 0.628335215192697 2.3739870203655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.026597264182578 0.0410316828479665 0.0024361771005406 0.00492979884020107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.656444716645565 0.659548632263813 0.624494156467917 2.36105567592204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0276621275033511 0.0425767991247678 0.00259817516048663 0.00526459492762893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.659952123844029 0.660910606376009 0.635181956276599 2.3784163564911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0262417653298031 0.0396015987051836 0.00237713029307657 0.00473044876372127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.660880639353782 0.661675542304837 0.634098655022764 2.38204730152528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0265995797770675 0.0396367351659809 0.0024302134285392 0.0047691341760124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.662174893200742 0.663139544325237 0.632567947978576 2.38899996416237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0273095422455258 0.0404398071141738 0.0025314682342877 0.00497522581715818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.663816697280814 0.665975458040172 0.618914438717788 2.39181603710938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0345629475303049 0.0488050061935756 0.0035488505833307 0.0071004501987206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.661224454392313 0.6653385085834 0.587377606633816 2.36368179155102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0456593997073716 0.061418385354383 0.00534978945812985 0.0112557148877778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0543348473791393 0.00257447837444714 0.00945667638877587 2.38105639239375E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0570897062613064 0.00243861438458662 0.0106006159684942 2.45658617626622E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0543820385130255 0.00260484204365436 0.00947530429267027 2.50405438819926E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0571386702636898 0.00246624055975745 0.0106198050330383 2.57762436801337E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0544375762699268 0.00285199626507331 0.00949785560771587 3.03900740555323E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0571953368332975 0.00273915273418326 0.0106427321809819 3.15398948821618E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0546217368615478 0.00397437722868103 0.00956520947785856 5.44711071738161E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0573847287931893 0.00393633147126193 0.0107127069273839 5.73287592199815E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.056296475700706 0.00999520580267685 0.0100344582242141 0.000286740950693218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0590134870679043 0.0100329275430169 0.0111873785976609 0.000295142167301847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0593956695664742 0.0162874451951092 0.0108692177785028 0.000711638353686363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0620204295165919 0.0164151224337635 0.0120243593900433 0.00072450443290507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0547690897910637 0.00379668945102984 0.00962134238413441 4.98542159837544E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0575167628586025 0.0037210761284597 0.0107672320686996 5.23143070319422E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0553981719260516 0.00639209343418069 0.00983863636103961 0.00012677125059294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0581415467052563 0.00637254234503098 0.0109877240412885 0.000132442042796279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0576691087335228 0.0121127942959104 0.0104805029164495 0.000413579076970556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0603443022702645 0.0121977667388538 0.0116378016964634 0.00042718062709015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0761197040159046 0.0330419839256531 0.0157690536314165 0.00296993204261336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0738022833194859 0.0352720547246446 0.0161567980775381 0.00307563508798459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.102194565803708 0.0513498501079505 0.0254452411458772 0.00708978585809921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0917088234749736 0.0573671693557866 0.0237634790511441 0.00752670168716984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.663927031293744 0.666044028623819 0.638167413949938 2.42298088258365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0340578652731277 0.0414520275490737 0.00410884401208555 0.00614886882548042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.661075492224557 0.663123300150979 0.636109918881013 2.40593598873637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0340673479099585 0.0414535039630865 0.00411060525368838 0.00615234431263236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.661095413375685 0.663076767120837 0.636036612299723 2.40576991052829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0340695036194342 0.0414989598836318 0.00411128563112185 0.00616043513367077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.659505797496087 0.661339987993325 0.636087758596303 2.39691539894884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0340475363625764 0.0414773676831563 0.00410886889370224 0.00616697131317381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.662575123125326 0.664137586171067 0.637733102984913 2.41455413589419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0344568313382412 0.0420493051489521 0.00419094624869066 0.00636822054619596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667660180552355 0.66896353091811 0.639266581481497 2.44293750077758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0355313541528706 0.0430791776414232 0.00439303467516952 0.00668701983355701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.661123778132904 0.663130283821579 0.636134291708314 2.40600621238939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0342108646577499 0.0414155453734951 0.00415260052209127 0.00614700374601691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.661146310486486 0.663111737521943 0.635795388302589 2.40576143511712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0345087820209502 0.0415328536956044 0.00421794294972407 0.00617014118642959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.664727462883618 0.666735432606529 0.63884979246528 2.42736568460795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0354927599002147 0.0420045890028574 0.00440298295594534 0.0062666425667153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.660465869023016 0.66425262710866 0.623094446026161 2.40380655383539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0423640543259211 0.0466459807682756 0.00578672631011963 0.00760316560378124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667477225355601 0.674341512218764 0.604067246605283 2.44676038880503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0526904300515896 0.0548927446310537 0.00800626137149871 0.010560614106975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.436060888329401 0.422525501811504 0.256559944945273 0.972292971072404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.039668826144432 0.0265329034285482 0.00521002062165782 0.00128790627423996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.43890626394776 0.42528581227517 0.259441226377617 0.984809039172633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0397210051023994 0.0265330074771986 0.00522377215846539 0.00128537549983459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.438989163119945 0.425287293175507 0.259423196753926 0.984870704759006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0398888482952315 0.0265335618396184 0.00526288476375377 0.00128439927610432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.43929751673594 0.425396172014653 0.25977202768638 0.985590429802463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0400689458213864 0.02657810205216 0.00530545471401228 0.00129106169962131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.434372103527362 0.419942003342347 0.256389404122668 0.963507428545955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0408801004422528 0.0269863526715114 0.00551139098640564 0.00137419301916173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.429738706322538 0.415592867204252 0.25159322119509 0.943282806155347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.042394431766087 0.0285806013739361 0.00584847092638931 0.00159871846565511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.438926337844549 0.425256968445167 0.25975741540363 0.985381551010526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0399242178807291 0.0265167005956614 0.0052715714829858 0.00130619592186271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.437486727752248 0.423656641102041 0.257000346262921 0.977484605721614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0402726054688116 0.0265306310166446 0.00535675575211532 0.00134179919910486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.432721780471679 0.418849438257061 0.25471422033307 0.958788909069032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0409609681381189 0.0269512337341316 0.00552960586587917 0.00147287502070356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.42638867009716 0.415728419997197 0.237822960028629 0.928799698925808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0462875761241091 0.0347376890685972 0.00686645240752961 0.00287805503421831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.435899449475239 0.426620313127139 0.226538017037712 0.954195098713467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0562586343108697 0.0467234738180183 0.00924657302956769 0.00584884771754516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.547046767365456 0.545736578161691 0.498023491235456 1.68228503899871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0226727715568103 0.0208143306879844 0.00179532828258967 0.000839141892319634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.547901333361185 0.546594880854553 0.49720541646948 1.68546750403064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0227165054121396 0.0208006057069808 0.00180493059520526 0.000841178970104526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.547905397025061 0.546595336827242 0.497118890112266 1.68549356678567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0227541030413855 0.0208487087256764 0.00181477403438294 0.000845631875524035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.548329075054719 0.547112025877646 0.496238760415539 1.68693288690874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0228682392407503 0.0209904664759712 0.00184369887910837 0.000861290655474311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.555993847021189 0.555659092465024 0.505585769140806 1.73057510205329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0242725903073616 0.0226614132308063 0.00209982739844582 0.00102335288572393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.559960601360199 0.560495388327808 0.503465180872698 1.74603818745556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0269049906168512 0.0255737019085565 0.0025420379498546 0.00133350133996994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.547192456662357 0.545859358066401 0.497673520391594 1.68236238762938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0226362560737029 0.0209371084350706 0.00179517311236038 0.000859337393082578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.544922677791349 0.543848836268039 0.495041696603356 1.67001538762559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0225102459019024 0.0214013642041059 0.0017903040229361 0.000904102025642149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.554640152204291 0.554178702507773 0.504584966828643 1.72083753073127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0231492481050646 0.0233009542497189 0.00191456837848608 0.00109372956029901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.552352902363781 0.551613499085861 0.481990486500514 1.67167854523855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0337045365092728 0.0366822594455599 0.0037593334884533 0.00304712019808672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.544150502336886 0.542860429790708 0.453598352918697 1.58867793688102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0486375573267428 0.0536323411436662 0.00719533469275693 0.00720295576399061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.72531843363149 0.722466373589226 0.470033171445965 2.52495227953137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.016889906218705 0.025141544071366 0.00118685443974275 0.000662358346601293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.724275515274587 0.721440404394428 0.470201132433137 2.51905007111689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0168766885589905 0.0250821045715187 0.00118412623808494 0.000659489751096215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.723586955512456 0.720701743031818 0.471039496621075 2.51541037781272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0169535633334332 0.0250407863029691 0.0012010583521509 0.000657881899564363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.722170351463304 0.719137138372786 0.470286166859107 2.50590992483905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0170878415155404 0.0249347442051216 0.00122813727495728 0.000662912189596368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.715091817818036 0.711455613497656 0.470143201958846 2.4620918926237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0184453371931923 0.025049777782108 0.00143706101916344 0.000753967252555896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.712777471873877 0.708209685475001 0.472643967178182 2.44506198105428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0216687282237276 0.0265230456671803 0.0018849133833794 0.000982798887349129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.726932799799303 0.724040758572655 0.471887521290365 2.53508122046553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0169484883415204 0.025342785821335 0.00120564280114723 0.000687091430036939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.728630534393439 0.725612547289947 0.471439619782383 2.54344946068432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.017270751657468 0.0256498965907943 0.0012588438623591 0.00072519317680221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.732529903081743 0.729090881197181 0.473512289789164 2.56510558891914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0188197482128906 0.0267163303682526 0.00146763567891078 0.000861869400156284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.736301899213094 0.727940021445538 0.472206412100265 2.55485129465371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.031648191731491 0.0361406623959087 0.00358239344402766 0.00223338807951249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.735664111346099 0.721622815141871 0.465095101165954 2.50617502592404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0476397550517668 0.0495072905888109 0.00729005247830266 0.00508095916529064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.473973590394811 0.470521614506514 0.300515975170575 1.17107871100433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.024304618859172 0.0216543639134105 0.00210325371703311 0.000450755798277569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.473944531851329 0.470481426399347 0.300519351534941 1.1709511666365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0242308574201162 0.0216904871214645 0.00209303707040598 0.000452539576948847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.476583256947758 0.473082335311426 0.303150349729371 1.1833360138962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0241569466188619 0.0217103844674877 0.00208347606535467 0.000455671087144033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.479004782161987 0.475440273537427 0.30366289269662 1.19304007077658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0240348365452418 0.0217456999685824 0.00207543240718043 0.000466989277800935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.481532483614326 0.477493820320286 0.303739815106243 1.20157745286385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0251066453196581 0.0223863069051977 0.00223731302370257 0.000577968090008933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.482492816812371 0.478257515271685 0.302941330185747 1.20374294256488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0269482403866799 0.0240342795810773 0.00252749337291357 0.000799073145084877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.476967746639387 0.473018768751731 0.303300067010977 1.18308292543811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0245552959237026 0.0216196408969771 0.00213870683562576 0.000455602324304547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.47501314163718 0.470509848466021 0.300829162023284 1.17131613642426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0248369263462846 0.0217523909271084 0.00219166322738074 0.000484456075619719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.473224852960532 0.467883928490291 0.299391794048207 1.15945465342602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0261612974896301 0.0227383905108576 0.00241899239054257 0.000617383250980675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.48312381974566 0.475612132548669 0.312628564123225 1.18976817430397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0391660191237754 0.0355633386273409 0.00483200472157385 0.00236701695187573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.479221406073282 0.467628757425892 0.296266856484795 1.13215160178087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0560893260439674 0.0528958476439154 0.0089840615484916 0.00622917055306471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.683458145202521 0.689505104293754 0.678954593836436 2.59865829586092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0332455480639396 0.0456837798689951 0.00391209082164861 0.00823024021859069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.683478329213338 0.68951752710775 0.678872080124196 2.59877217974664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0333122244618664 0.0457068748087373 0.0039293855307205 0.0082504698164204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.683488031897894 0.689520304577131 0.678754135444998 2.59882829326734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0333470374521446 0.04573010170093 0.00394154724157147 0.00827300359546419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.684717699539703 0.69074602033809 0.677687051077709 2.60520993523585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0335667256560208 0.0458537454796628 0.00399518687204538 0.00832917881873895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.687131738261062 0.693712299011139 0.675014404252943 2.62030133834062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0343992662139645 0.0467586896489867 0.00421475243207721 0.00868144029504493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.68952442679382 0.697041215176484 0.670454157617716 2.63519175836498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0359872636691193 0.0487322719616624 0.00454547693063418 0.00927720864495922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.682888890306335 0.689096856569072 0.678392358533082 2.59574137403708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0329317789385938 0.0456885399469169 0.00384995267529371 0.00821379536755138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.682369016445461 0.688785854119094 0.676799892162794 2.59260810020112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328153714426118 0.0457987912243912 0.00382688215052528 0.00822283593281816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.68331135731207 0.690024103984364 0.674662353783502 2.59773099352494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328790465705539 0.0462322506513599 0.00382481292414896 0.0083321064478911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.671917360992738 0.681003243699139 0.65069205012964 2.52811766596172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0369165101561622 0.0511837310636514 0.00445409044532701 0.0100777755883182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.66993114435358 0.681091475409576 0.59463692606644 2.48119844807541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0467645657615233 0.0604675568133018 0.00614975647221565 0.0141179003209172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0347625709968657 0.00197660306526513 0.00379566623822034 2.4546931439908E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0355653509024626 0.00241811589322954 0.00399819381284892 3.26649324308877E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0347548736956806 0.00206592056109353 0.00379349494873404 3.11115710025709E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.035563818938562 0.00247346665156826 0.0039967087907683 4.14299580700652E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0347770650961714 0.00230075973553135 0.00379885067274493 5.02838623449833E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0355931279328277 0.00263226376679576 0.00400359559582412 6.10027571750493E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0348164568261881 0.00309343136529571 0.00380841458062087 1.32588668154863E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.035645000343725 0.00345234036235047 0.00401739125046377 1.82705936733693E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0352243229818487 0.00756175764887812 0.00390713288120082 0.000116407216956555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0361006883022105 0.00793252949757158 0.00414997609610282 0.000125163821198047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0366997510751991 0.0124475409277013 0.00418876948696953 0.000361576009810625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0374803067301782 0.0125375882890302 0.00445770256464367 0.000331415727739391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0347800331555384 0.00292366531836123 0.00379947140440444 1.20107118202225E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0355757411220513 0.00317826600595589 0.00400336914387665 1.47715929796093E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0348375028441509 0.00497502898878872 0.00382075127663728 4.65534452517811E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0356217871901845 0.00519628778983733 0.00403008071623057 4.78399533843629E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.035269536847742 0.00947942621679483 0.00392161086513446 0.000199673813783119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0359804920841785 0.00984423155309257 0.00414919322762481 0.000207716762425928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0458371540340826 0.0284278229236185 0.0059166496238367 0.00217800582745291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0432422936310413 0.028079811897212 0.00585143741073917 0.00185481725184241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0656501679663291 0.046000438900186 0.0100399124949784 0.00601293330660514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0550949947493755 0.0457044136977559 0.00900177166162012 0.00494806960986651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0246836065264097 0.0134463562803707 0.00249176592940463 0.000741215338341031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0240790192159146 0.0139037690545009 0.00236725876005624 0.000790015750583549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0246366135081505 0.013441431935738 0.00249053224139533 0.000742432981950403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.024042468787035 0.0138990228981766 0.00236729633675466 0.000791229999845781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0246178190143026 0.0134295921293617 0.00249788430671343 0.000746858997271429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0240307425976861 0.0138880164322039 0.00237565508957985 0.000795679660742282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0246843100431113 0.0135027667742356 0.00254029602525685 0.000772397391381951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0241146898544815 0.0139273325410767 0.00242036332593874 0.000819497668002279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0275140809527892 0.0177798679188084 0.00320807214853799 0.00124637515608436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.027073109712451 0.0180300527558732 0.00310129653952464 0.00129066429040928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0346527242397708 0.0249239714158943 0.0047526460352707 0.00216745667623384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0342640597000539 0.0250810852983628 0.00465585690230459 0.00221769522303801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0247449248898686 0.013420068191615 0.00252907987666237 0.000755511431153995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0241859054541764 0.0138498273898457 0.00240964356158075 0.000802645196268769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0251162581148596 0.0140208806509537 0.00264254542236128 0.000841308254851668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0246338131538908 0.014360302823929 0.00253185739282423 0.000884296907832826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0273906966300476 0.0181431572295462 0.00315838156079864 0.00129418541260745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.027060013113884 0.018331106996246 0.00306711900542657 0.00133415632054622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0501819425343761 0.0442376368149346 0.00900052691155427 0.00559712027415101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.049704296453442 0.0442220789442657 0.00899823918403662 0.00567097096723533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0783932962818293 0.0707709120755774 0.0199112346329186 0.0124158308947556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0770531513729046 0.071109957643829 0.0199233561844938 0.0127167268231934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.720937200796773 0.720956279716185 0.693458370130538 2.7545227302234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.021218453033655 0.0311549654207126 0.0016196797901718 0.00199405266230938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721268586442078 0.721327665866927 0.692909082123833 2.75624438951924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0211525759301851 0.0312523335396705 0.0016079397106179 0.00201356568073794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.72126535141957 0.721370929802719 0.692770926448027 2.75639144720061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0212727520916799 0.0314375159798874 0.00162350391264085 0.00203841779461252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.720174281330556 0.720319769428554 0.693162157750696 2.75068989862313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0214553230721912 0.0316937833667844 0.00164942885743739 0.00208938205605551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.723798336415981 0.724226179459778 0.693302922329048 2.77272766011813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0223569301105209 0.0333700206175422 0.00180897754183778 0.00242434999280118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.723197152941181 0.724123892879429 0.689137065432126 2.76624702075671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0248494570393132 0.036579233503601 0.00219262019186811 0.00299436980185264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721529143245932 0.721657591435687 0.693458698335392 2.75869607079166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0213411180632985 0.0311360110530308 0.00164236891651847 0.00198093386471003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721629248810135 0.721889667102947 0.692763200161357 2.75954996746313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0217076042065222 0.0312256707630197 0.0016982314526303 0.0019988432599658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.711301542320873 0.712227658699019 0.68306478294602 2.69460208405826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0227558860501436 0.0319852972951238 0.00187910644985224 0.00214629264617968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.717109309037362 0.717398973788851 0.668782400118323 2.70214243567304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0355128734854313 0.0446062020602917 0.00407732265914152 0.0045284138692605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.713926645290859 0.712790084270647 0.647036060933334 2.64344158536647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.052450570069094 0.0635120907548627 0.00803131114683231 0.00991283647833986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0551377733876978 0.0023065411820088 0.0089671385328156 1.97988241743014E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0575643849385381 0.00216452181801461 0.00987126406273177 1.9704576236328E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0551671581714501 0.00240768683517624 0.00897875749280949 2.20354008611469E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.057598661394927 0.00232058705432048 0.00988395930695424 2.24728071650327E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0552090991506971 0.00283350055700039 0.00899524373527414 2.99952543071429E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0576420087869239 0.00279949708064291 0.00990121329921065 3.11602523711966E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0553187887714709 0.00427172070746505 0.00903968010844177 6.23115308454036E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0577463069458205 0.00429013372180634 0.00994640970661424 6.49677284137848E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0564925614961603 0.0114253944693773 0.00942673350180712 0.000378707926309517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0588930347041834 0.0115076037980297 0.0103463522142411 0.000385786846756468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0595003527555046 0.0186884694145721 0.010245907441057 0.000969781152722847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0613381018454672 0.0189374364822069 0.0110984148534225 0.000979004059656796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0552025751519562 0.00372830444955268 0.00900902357407925 4.68369294787778E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0576274618488447 0.00373093915156738 0.00991522580964059 4.89423247824786E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0553892251462112 0.00652116875334127 0.00909368295747909 0.000128508640807445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.057812750600866 0.00655690554425561 0.0100038348557972 0.000132941695907704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0564416851702409 0.0126037890728598 0.00941899385153174 0.00044034176534308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0588992834445822 0.0127170812367036 0.0103624402460037 0.000449185955453155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0701201454148817 0.0360779241770577 0.0132747700230354 0.00340717446053692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0701181636712915 0.0372128682578153 0.0139562345411804 0.00340755855138953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0949025004318785 0.057002140005822 0.021617417295381 0.00888897881591881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.086715351367593 0.0610859200121774 0.0205756174234472 0.00870590194052292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.668743644731726 0.667725695874969 0.750678718308026 2.52306850284107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0301895565756306 0.0339399204988688 0.00317549690652714 0.00319887153989546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669632806851073 0.668646499766925 0.751013437173791 2.5284667694992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0301749938398349 0.0339619230551988 0.00317340322440346 0.00321835849786208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669617859325508 0.668641686811772 0.750911213618291 2.52845473194421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0302056519255068 0.0340421400139432 0.00318116806398438 0.00323886234459212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669563183898769 0.668618827964948 0.750636273641299 2.52832791310793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0302767595833849 0.0343071660524773 0.00320320377275315 0.00328932106656438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667794045702716 0.667258684969352 0.749647476224483 2.52067999015326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0309235942681233 0.0356228862020768 0.00336671575955408 0.00358511655196504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.662077692738905 0.661800548189434 0.739196961282823 2.48185397444465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0330644564500076 0.0378032746542362 0.00377354755194517 0.0040526543152055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667558637700534 0.666440615150077 0.749938542087658 2.51562978463936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0301610638969248 0.033820037319419 0.00317241392670803 0.00321273594917829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667577971849918 0.666291058440603 0.749680993390236 2.51486150118355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0301630262744939 0.0337568292023205 0.00319093304440487 0.00325150668000849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.663788858900723 0.66253885684269 0.741034478924603 2.48673540508426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0303931059245798 0.0343011423325066 0.00328876327314891 0.00341234034846797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.680862253176217 0.679957056268296 0.738804167024671 2.56670490479741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0399294370775877 0.0437938434874848 0.00521980795559506 0.00539292714896258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.673157344398698 0.669059090545417 0.697143359741381 2.45955099984223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0553039695751178 0.0586368731090097 0.00890122068091441 0.0094976283759485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.474933451984998 0.466169115904803 0.279729756310034 1.14280687980928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295371964145804 0.0229910828161783 0.00296804797446874 0.00056209436022516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.475535618124722 0.466762971933888 0.279406662537115 1.14481542813601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295441928545101 0.0230236897396056 0.00297557472062836 0.000566424676456512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.47515320466002 0.466330077063458 0.279673663511631 1.14345943942113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295572857219285 0.0230720731961837 0.00298523243607819 0.000572820478511092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.472219456160771 0.463305081234516 0.275897032353093 1.12829523882146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295756693256243 0.0231689678017322 0.00300611739388133 0.000591228330933287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.473825977016818 0.464423284807489 0.275399785241899 1.13210152371634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0303953046438982 0.0242678025935099 0.00322273605347389 0.000751350600418709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.476263793927027 0.466334510220996 0.274970366494117 1.13802498579151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0326236271487137 0.0266452162711313 0.00365895234346063 0.00106715546785841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.471429018553995 0.462328986063015 0.275981196814717 1.12492235839941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0297477718215672 0.0232891005259987 0.00300604058901589 0.000600247285403564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.474436402173622 0.465110048887092 0.278828796571728 1.13847231072188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.030152839454132 0.0236210699314319 0.00308652061394506 0.00066717862531055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.478563200461815 0.469183075000515 0.278097689746391 1.15288136825272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0316164889244321 0.0254377619275374 0.0033636499619999 0.000900889179402273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.490750155112785 0.480556464732216 0.287137372841337 1.19892944056194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0446852118440466 0.0414917945360865 0.00603563406772193 0.00338997502799005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.496038392843966 0.481767295133426 0.284498196627177 1.19117018140468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0614716495924002 0.061221268777099 0.0106147188919393 0.00844305903771849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.558150289027836 0.554750502744624 0.5048571874371 1.71468050858997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0208786448308572 0.0193118505872157 0.0016035118901937 0.000448170969490397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.560475650411113 0.557023005018015 0.505987697340181 1.72594298965827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0208398062357618 0.0194086605834744 0.00159863020329536 0.000454924681020994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.56048470517309 0.556983345397868 0.505909022677598 1.72578898200094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0207895098594867 0.019474175854738 0.00159324054851222 0.000464789116124111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.56082062724674 0.557239627344731 0.505066947804269 1.7263223400795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.020686963839889 0.0196051210835993 0.00159129914558979 0.000486974120434321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.560748647454382 0.556864442963851 0.503194422834785 1.72247575906321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.021439880697321 0.0211454663294504 0.00176862034286746 0.00067302122460661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.567603310805428 0.562582255774454 0.506328513296427 1.74821738515854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.024853766247867 0.0242462326887708 0.0022952774292705 0.00101933208290127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.558624134033425 0.554990242723568 0.506473713055481 1.71725609686149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0209628637428455 0.019474458553139 0.00163364304047474 0.000463882232416233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.558716564970783 0.555000734165309 0.506347528434916 1.71716889031857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0211748606084482 0.019646747231704 0.00169675780050959 0.000501463303380631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.561400901789901 0.55766049059229 0.505294210126443 1.72562214062396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0228352875744236 0.0216245040001313 0.00201027243533661 0.000693282573458657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.572531012429769 0.56280158775839 0.499139032006841 1.72255550813851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0403187492887939 0.0382854846509785 0.00550111911448617 0.00290056229763161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.581170662165273 0.564223688733507 0.48745382201152 1.69684691718636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0614038763507574 0.0580865134598985 0.011618583222543 0.00749990796549111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.719746255277289 0.715496452537027 0.50278071349178 2.51716260152344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0169583496115386 0.0227761051076792 0.00118249803511335 0.000200878273889697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.719733983005215 0.715525351975608 0.502777263477345 2.51725559104383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0169871378689761 0.0227464702629502 0.00118743452191069 0.000200750311029628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721220385152824 0.716989187895636 0.503624921297559 2.52629245316826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0169610576492641 0.0227755561714108 0.00118836449223037 0.000205602785465602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721201068570838 0.717014015456098 0.503602092326599 2.52628595470085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0169988104753114 0.022811417382177 0.00120800882036232 0.000222446449475409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.722892560958313 0.717729425717627 0.500084014557429 2.52652184234878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0189235589416241 0.0239609469062775 0.00152314152814011 0.0004265196467214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.723855262342213 0.717461262269763 0.499773557385721 2.52157043374328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0236459845830026 0.0279830977058985 0.00223348265923479 0.000873099752497496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.72232892038414 0.718117441348964 0.504163624801441 2.53322636321182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0167691413684302 0.0228750167925625 0.00117759122726543 0.000218407732133141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.725166735483406 0.720791483805331 0.504846845689936 2.54924146852365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0169027190329855 0.0233606018096441 0.00122161171490404 0.000273245128782005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.724897901229397 0.720261187841628 0.502224205010141 2.54240549529322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0193644254468115 0.024824567506909 0.00156991624488472 0.000496063470393302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.738540806043124 0.730778760341856 0.49671704811903 2.58287151111932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0400638564417391 0.0444220020362124 0.00535991475340424 0.00330538476035148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.752071373347785 0.731209634431859 0.500913028043224 2.57014824315616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0636826991799824 0.0689260515171133 0.0122650078225676 0.00959700932238882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519547116402087 0.514859474775064 0.319964214782424 1.36466231469096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0215590413177492 0.0207218937743089 0.00171348482675532 0.000203270895416515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518809517206864 0.514209661718429 0.319810709648916 1.36188146163249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0215088129621928 0.0207296359506962 0.00170275988936129 0.000206396670203633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523597884831576 0.519082469559197 0.324489182841283 1.38678227267728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0215453783511364 0.0207853876930617 0.00171487958373689 0.000213299273873255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.524546351639892 0.520100010516523 0.325294713316152 1.3919156899366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0214507929014903 0.0209540032995269 0.00170823700388068 0.000237940371271205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.524283872887284 0.520526834448312 0.325327055616035 1.39225925768899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0225189333464649 0.0224241956481198 0.00192201678634224 0.000449279127420795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.524640434360272 0.521259432905665 0.325629787195076 1.39092782898516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.025566441659358 0.0264891410599776 0.00243318035546185 0.000886689525816414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.515242794672935 0.510691921857082 0.31664625691534 1.34372554633122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.021671934428438 0.0206207002544939 0.00174265934054025 0.000212656269743753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.514961110309217 0.510491463275577 0.316151401506703 1.34197546390089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0218925268596791 0.0207126140864655 0.00179943268547535 0.000253558880607264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518965350021527 0.514866029892956 0.317587631786367 1.35962776420186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0232623516729523 0.0220693266076572 0.00205286176333067 0.000425662677104802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.52244377486636 0.517693122236634 0.316088802275201 1.35572328494447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0382165077602289 0.0380226919557395 0.00495212607101261 0.00259352876542136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.540768143259162 0.533521708719335 0.328043213135749 1.41592363869786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0577346207424343 0.0580138252901621 0.0102700951584552 0.00738425658764796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.770676022902353 0.772866761652309 0.749416457087401 3.13099185774652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0273642893129564 0.0383061007874563 0.00265912649754493 0.0040737044572194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.770659350907617 0.772867379956573 0.749360908740512 3.13098648702085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.027359942605786 0.0383437897295186 0.00265949616695757 0.00407872970539597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.770678475130608 0.772885578747563 0.748206591293888 3.13003463317225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0274370009022472 0.0383694751348786 0.00267504146689674 0.00408075858426787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.771998827195199 0.774215299337168 0.747206014895399 3.13768102178289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0275288276726015 0.0384052170360119 0.0026981842027964 0.00410196387987861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.769701005742905 0.772408053976608 0.745965092242676 3.12579203875368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0283665248303692 0.0391020191076122 0.00288333354020648 0.00430694915817426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.770017271836048 0.772897366011218 0.742490909465182 3.12506829963769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.030263398999979 0.0405615484006322 0.00322622350131565 0.00466575536728124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.769999691698749 0.772260366680866 0.751097708763137 3.12872748813487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0272142290451617 0.0384234895560971 0.00263211667424754 0.00410207075689231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.765244380222033 0.767473418679884 0.746111404143624 3.09481720229727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.027035859175049 0.0385721925842489 0.00260218202429984 0.00414340520941459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.763938276254566 0.766206085424667 0.745663588328051 3.08672212997139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0276430448843507 0.0391619808477071 0.00268256538821121 0.00430866985611762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.753457346384869 0.755699359700356 0.721645861604434 2.99547666259932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0367216837881687 0.0470502821006263 0.00410311652443377 0.0061802568941838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.764924226421252 0.76697366798705 0.694698027615003 3.0367860613794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0504748353752116 0.0587288267058424 0.0069105043665448 0.00990049469113775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.026337463762864 0.00164524408204131 0.00230196090751339 1.20630386290079E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0268099831230957 0.00263594533585978 0.00239038723587625 1.07450908936238E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0263384387379068 0.00174224989243032 0.00230294097660472 2.31550851320407E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0268083334122926 0.00260498848755216 0.00239133225392851 1.17870530205449E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0263487656833156 0.00216212669685364 0.00230704742818698 5.89497555878023E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0268180304487198 0.0028083811213253 0.00239583874179462 1.59314269004181E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0263529617827567 0.00357033582287384 0.00231666923023668 2.2516278123454E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0268224147098051 0.00418251062450893 0.00240692796599999 3.96572587662465E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.027214741439682 0.0100568696229627 0.00249458757915807 0.000227801203895475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0276623175991584 0.0105806383247919 0.0025995937077776 0.000249096364073215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0302206219529481 0.0170252388158433 0.00301461468364008 0.000725727583387123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.029973321877206 0.0169480836502464 0.00303938579553004 0.000657406774279208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0263837341447613 0.00312306186813108 0.00230843786648355 1.55081839064213E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0268733890565248 0.00367603487365808 0.00239983041393399 2.7952444860087E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0265657757350867 0.00566906560306592 0.0023457139264267 6.5220500747858E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0271230493389909 0.00609199822729805 0.00244619337784494 7.61890082445121E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0281569577373648 0.0113179351025779 0.00264106640864317 0.000320439432042231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0281802183582039 0.0112998162262877 0.00265363289299033 0.00027774709716686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0444649090977447 0.0330952191492268 0.00607609357883844 0.00300127865947763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0395071005713811 0.0332664671102564 0.00503973350939498 0.0025886396268848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.070843711359757 0.0537666593595504 0.012911670391416 0.00832127814920539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0556693998922797 0.0547322375516587 0.00944857288536767 0.00693145951062851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.028232349246459 0.0153145462870676 0.00327779129917791 0.000966813901465673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0275640147048191 0.0163190661065754 0.00311648734584905 0.00115840639602019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0282039223309196 0.0152895074206521 0.00327574538275978 0.00096473554246475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0275265813821041 0.016287860118387 0.00311352352456607 0.00115283506074946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0281914207636193 0.0152651349820899 0.00327929761479118 0.00096507244768447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0275050429468764 0.0162574310570327 0.00311647728357455 0.00114982502451476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0281968855626927 0.0152347342765544 0.00330069134650934 0.000973213040776945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0275293488117389 0.0165546639357865 0.00314167173085126 0.00126505691407181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0294715584252189 0.0167995687323365 0.00367721599034367 0.00119414614923818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0290382517401956 0.0182984154635809 0.00356256594393435 0.00151711255198389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0333120658588585 0.0212828719463724 0.00458834159947127 0.0017443959784662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0331787936375777 0.0228682629968452 0.00455080947441952 0.00205990551808382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.028134956020354 0.0153916274130161 0.00327706265459269 0.000988327463669708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0275352912869892 0.0165920200029699 0.00312560552665929 0.00122641483266437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0282185925568041 0.0157797421331308 0.0033334217231998 0.00105405317620944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0276971024074518 0.0172392916840595 0.00319556347136352 0.0013904660138588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0298232660513205 0.0181074384467829 0.0037288961508105 0.0013586338686187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0294944447088605 0.01896133981806 0.00363034245180046 0.00153859480516218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0487813054311174 0.0368136649902843 0.00848084915398783 0.00433975836266103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0487600502464468 0.0377434242767334 0.00870096513618608 0.00465063479825839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.073506389305368 0.0578295765288231 0.0171073120594574 0.00905338033112398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0728763798699386 0.0588925829343712 0.0178633023587608 0.00970682374575012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.705095696463937 0.703841425962404 0.642570769508587 2.60775961400793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0237414070471201 0.0351514366309347 0.00203225307480845 0.00255186243286894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.704828260492182 0.70351243152767 0.64297074637087 2.6063738749171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0237351714898897 0.0351388051722106 0.00203646344727023 0.00256246199722089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.704780379653657 0.70342651772729 0.642966087245781 2.6061243459839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0238031605776939 0.0350510050987522 0.0020451757854965 0.00255134883293003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.704859336859225 0.703406686260711 0.642600633154372 2.60631566811807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0236770301623931 0.0349396423553631 0.0020443727053347 0.0025455905038349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.700445329718513 0.698167038210326 0.640784433147165 2.57712164842757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0243446125353771 0.0355600436959148 0.00223485547244209 0.00279282369352862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.700134690668914 0.697097499872898 0.640413753114638 2.57103338143364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0271191930863943 0.0355965180721872 0.00269769222368805 0.00290204443264831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.702836916527108 0.701727315913262 0.643038305456233 2.59632350497099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0235118421902019 0.0350898123996569 0.00200375104345523 0.00255251503115947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.7017099760899 0.70066177126421 0.643203332201707 2.59076687893104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0234947888136419 0.0349379565762982 0.00201788123864848 0.00255128784193342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.702257738721316 0.701207270977708 0.641911768250151 2.59347054930438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0245473731688681 0.0355676321592533 0.00221814832238424 0.0027417993143219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.700791109142376 0.701133427694592 0.626908760895823 2.5753328246577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0346478740172787 0.0427198765795786 0.00405329069136727 0.00430974958779773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.697590494912361 0.698562351778376 0.59324827292376 2.52530454971942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0490679641166554 0.0559812468033859 0.00733327036817401 0.00802962085460519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0602866117768367 0.00367173319111772 0.0109050564714908 5.41751685799751E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0633663838788989 0.00834325176646466 0.0120887031825695 0.000488467010523694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0602247021150501 0.00368801343136982 0.0108838589188505 5.459291029985E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0633153781925675 0.00863273233771927 0.0120668262293122 0.000524838155980274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0601679125533641 0.00385232471911706 0.0108652930224758 5.90282787850966E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0632879863233134 0.00856647436983775 0.0120455317869111 0.000517693983220468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0601144441626794 0.00465706751529496 0.0108485199111349 8.09379018791803E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0633774448356365 0.0100200982761893 0.0120389825060162 0.000641266886894053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0603528535280005 0.0102545088794573 0.0109170211332416 0.000313237357501265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0633318410665349 0.0148148087705158 0.0121056483750232 0.000877948759608528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0617365228914419 0.0164993582608806 0.0112824031531152 0.000743457154615372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0649084158246824 0.0196959175789303 0.0125775731231255 0.00119702796325971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0603162651883368 0.00472828263541391 0.0109160743912296 8.32837087805378E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0633647094350703 0.00916017210173568 0.0121119651620546 0.00051203863245267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0604740597438907 0.00715512122319801 0.0109699652962348 0.000172083251252769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0635149599131779 0.0110734938872102 0.012151216882984 0.000583283061155791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0613018457825821 0.0129309473371591 0.0112190260682992 0.000503912637825531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0641947938967155 0.0166457555547054 0.0124339708844463 0.00098682317820238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0745251734552459 0.0361374731373049 0.0149159312176642 0.00359971708378698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0738831832145631 0.0391802966749531 0.0158502638315438 0.00391980428972435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.100935758205984 0.0566934613501772 0.0233549859588403 0.00913382335281211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0887078519999521 0.0624366476217127 0.0218148427503769 0.00920679358152418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.622725471408536 0.621087990158469 0.691508904049772 2.22321429072022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328616929037723 0.0382385452487023 0.00385006340443318 0.00406542219393884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.622773132947334 0.621094735804519 0.691577875129542 2.2232271866368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328950503065296 0.038339031000866 0.00385172663958611 0.00405241781353469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.622789142227761 0.621093672759682 0.691582716425442 2.22319105346909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0329520896729407 0.038515652963512 0.00385172439313735 0.00407602359337621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.618558756376534 0.616843310737802 0.685463982732532 2.19674086957288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328696576561072 0.0381022492247929 0.00385143600238317 0.00401621348594606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.619655729777396 0.618299764066363 0.687271209390616 2.20465227943195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0335354262561707 0.0383662597714463 0.00397304108245466 0.00409523749192597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.621833176912348 0.621059385979156 0.690993643364447 2.21945464497224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0351891489927071 0.0398574113858281 0.00430483342717946 0.00442948851546955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.625142227572613 0.623067013055488 0.697774856563623 2.23889812373971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0327429665327181 0.0380539057730767 0.00383214187152552 0.00402569341017083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.62374716771383 0.621333030662369 0.698588806595885 2.23146857719161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0327425205230491 0.0379740698724792 0.0038361785188203 0.00404015586435183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.623812392597055 0.621037903849514 0.697695727248617 2.22939625912888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328714357641367 0.0375983400470994 0.00387591629355463 0.00399633410987494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.634840102081676 0.633185368367162 0.702100203025648 2.28482143698356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0405881538153385 0.0449303374500692 0.0053718893216781 0.00575676297273646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.64511504406322 0.644501926012797 0.685411431932656 2.3167342050757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.051740921677748 0.0585846865624022 0.00783675739426426 0.0098616106308012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.460308737173888 0.450091876541389 0.253360548600901 1.05616240218714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0345713022119822 0.0255383660771369 0.00424634414711641 0.00071631977385731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.460354083954739 0.450034567803196 0.253375699683082 1.05601717404521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.034868547347857 0.0255208370650708 0.0043369979714153 0.000716773633551882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.460417180909466 0.449976012534514 0.253365694495301 1.0558709988451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0349147504181232 0.0255917585642383 0.0043438248519436 0.000717548945028082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.459983761234029 0.449318619356703 0.253624324146039 1.05376244368819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0351982361682304 0.0256521753434659 0.0044496788285332 0.00073806924643357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.458927675944013 0.447876956015566 0.254038093993282 1.0484470250888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0358684078528222 0.0262188965316726 0.00464341154134724 0.000875860821604143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45677517641538 0.445760163901176 0.25203321591204 1.03719269995998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0361803155092386 0.0286290350736937 0.00456653096657409 0.00120912778950622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.462291772624726 0.451768726330718 0.253666899566228 1.06303845549707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0342192627060804 0.0256218774772526 0.00413140963337374 0.000742858193505597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.462015817124937 0.451108420832501 0.253756322920637 1.06105298657576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0344625978445368 0.0257787739532592 0.00423946499974846 0.000804388023595808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.460700741240207 0.449131806644177 0.251308112340739 1.05220582490972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0349728124615908 0.0264390731152407 0.00437203200832823 0.000968796215964202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45943250101598 0.44834354715058 0.233372472182189 1.0301582430655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0431102150549475 0.0380452595533226 0.00607111500056684 0.00289255416263183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.452706082497194 0.441155748282723 0.214740964852062 0.983353315140423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0555816760174008 0.053985824067172 0.00901288949191844 0.00692957586009929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516604163013959 0.509539965081711 0.457966388528026 1.47147503006343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0247405158726201 0.0254610378744528 0.00239199540382411 0.000952841388294443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.51663586120851 0.509551054051102 0.457920010511423 1.47145599303109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0247665656794758 0.0252160466118048 0.00240348021242634 0.000925859971778971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519064250963032 0.511930045341551 0.456959406792825 1.48051943137072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0247235515592927 0.0251733227968288 0.00239757993434877 0.000924600434472395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.520367164082146 0.513167963050517 0.456113243837972 1.48500286151832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.024835578242407 0.0244388470749761 0.00242629264034124 0.000826416283068274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523311871572407 0.515847019920434 0.454713180412481 1.49461604690431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0256585925729946 0.0252572942358198 0.00263210238688191 0.000920889730579922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519947214099321 0.511743446281113 0.452509484730797 1.47329755355539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0279519524201168 0.0269852054195581 0.00299430021921492 0.00114553422193865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518144374606181 0.511203529542766 0.457086311980165 1.47781658020799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0244147628465144 0.0247766892230808 0.00231687213029599 0.000909870035358926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519102262461823 0.512330311001414 0.456468986049058 1.4821563186192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0243024924689645 0.0245293969090247 0.00231412562891514 0.000908332892507884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.514562199205755 0.507997477087933 0.446519591189456 1.45509224419248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0250617074648582 0.025013697511631 0.00252016972844706 0.000976644554021514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.504644181624762 0.496963921918302 0.424990110727828 1.38320853931092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0356567850738279 0.0347383871466449 0.00438271565779251 0.0022776301395425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.493926255648831 0.482209770553765 0.385255339710594 1.27933177249402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0518477647202882 0.0492652840695752 0.00820069261833076 0.0053736701369244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.665212855544907 0.66094540045145 0.485770654496302 2.19863565924955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0188196513333975 0.0261637733044678 0.00149406716657024 0.000511304993747702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.663557555630362 0.659321051872563 0.485631213207213 2.18984988284469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0190810858983714 0.0261462954755683 0.00155980358145165 0.000507552046714407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.665052155735698 0.66075901815527 0.485395038879345 2.1972467976831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0189174132086725 0.0261074646036316 0.00153593489503299 0.000512182261929784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.66656422331791 0.662187749178745 0.485226830671773 2.20467528481829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0190679285832706 0.0263915330229183 0.00158447130433048 0.000537626619131173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.666236010373222 0.661347231516822 0.483505705907529 2.19796397987925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0207696537572935 0.0265788637392527 0.00188096963175932 0.000725857236504582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.663800908094809 0.657672949382583 0.482009526185321 2.17521121663518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0250043567452023 0.0285013665023374 0.00250979549819453 0.00107416618016737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.665847568636786 0.66142310713752 0.484700657915879 2.20066583405032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0192736342114956 0.0266677196031301 0.00154173950271842 0.000563016215638133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669433221928649 0.664714191795918 0.484721574059972 2.2186574696559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0194318891782835 0.0269738275100676 0.00156958467193647 0.000631777878820436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667122583121207 0.661665188560308 0.486690104952494 2.20462895697951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0213587417034113 0.0278647089676893 0.00192494172839783 0.000794179436511638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.665925325473405 0.657735293800459 0.481222069887701 2.17070729626139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0342986367142347 0.0403893687231851 0.00417663193997782 0.00277354669429584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669549198154239 0.656970602585611 0.466629515659671 2.14427331957146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0518756447471773 0.0569542880580831 0.00841714680039475 0.00653494475794792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.503409287456194 0.497324518890122 0.293559775876852 1.26786200529158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0260527572175328 0.0228157878544637 0.00265531122160498 0.000333964104149861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.505061876739102 0.49889820656031 0.292771947165589 1.27346685683967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0259420326887336 0.0227102740770162 0.00262870255710242 0.000327360903910594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.505138537827669 0.498878516523749 0.29285419270004 1.27344102708995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0260411873744763 0.0225566359668266 0.00265266803360312 0.000322718282329577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.504728504174594 0.498243917067964 0.293297127035846 1.27121671079254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0263444802969251 0.0225884271651919 0.00272619827962538 0.000335095110624195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.504529682396367 0.497790489450033 0.294767727791711 1.2691297712566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0262127632520418 0.0231357577174309 0.00267452680783962 0.000509848870259473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.503510590021228 0.496832561017446 0.294928288694346 1.26159598413829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0282957525762154 0.0260868982698737 0.00306169369214254 0.000895023962221401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.50871925150398 0.502435828201053 0.296074073765447 1.2910932599122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0260661840775502 0.0230159805670012 0.00267404769357096 0.000353894665753823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.505154439087596 0.498569664461846 0.293362864039505 1.27266308987256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0260885666616392 0.0231537408967626 0.00270958760022029 0.000391131061898352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.50650862875585 0.500028209388613 0.296212744294712 1.27987422359076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0261986990901544 0.0244547703260351 0.00260186528839866 0.000592487551364341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.507832713024844 0.500766934928344 0.293173835806859 1.267159599316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0388145760681966 0.0402932914260567 0.00510423556526105 0.00281502062386793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.510966275444843 0.502694631333387 0.281294960823231 1.25197109066989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0550585532697993 0.0605579128002927 0.009248044551632 0.00781216690735237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721878599033849 0.722269078728764 0.686810492969561 2.76627349346477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0294159984609657 0.0416938217975828 0.00314220001291134 0.00485235421948544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721863808613823 0.722253461634509 0.686818810573603 2.7662515569843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0294400752638739 0.0416558147526383 0.00314771225419451 0.00486305825290534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721837911865249 0.722228527587022 0.686791630142537 2.76616603678005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295176128392667 0.0417467235023218 0.00315346445799004 0.00489000124035898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.724341756882901 0.724739195081642 0.691754172341995 2.78500810367697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0296849680081544 0.0414094232128761 0.00320721738389596 0.00487022292183599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.723441102237023 0.723954820212969 0.686004554748084 2.77582414236738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0305588155800527 0.0417012747551789 0.00339805374172488 0.00508303427324802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.718530002204514 0.719467307443416 0.678225344787826 2.74261057491443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0326100351259431 0.0434275627258123 0.00374333653095319 0.00557244863241927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721002009597223 0.721725667734523 0.686713582550927 2.76328567625872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0292348517666325 0.0418148885694856 0.00311959112090129 0.00488754548634251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.726260427555931 0.727380601387191 0.692840788417496 2.80143576940126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0294317640073673 0.0417303255359904 0.00318865775150909 0.00492209373818913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.72209490471833 0.723953117701882 0.688221241031126 2.77808929012393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0300325676169316 0.04237323703229 0.00332553728098124 0.00514941207970238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.717761030286509 0.720394047979542 0.66432510401118 2.73972056880721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0396514673516496 0.0487214941708003 0.00506870075480133 0.00718074977643018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.718832345515787 0.721831935576088 0.614250922018263 2.70437064549959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0559688559036171 0.0610779482246638 0.00873633741398228 0.0117651959922614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0288832423511263 0.00246860637102531 0.00289647633206927 6.12766319175636E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0293916733268553 0.00825684152111216 0.00300667977255422 0.000289094237383318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0287852126681159 0.00251624686851531 0.00288148689402567 6.75791737964436E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0292957846768932 0.00829092653133994 0.00299179758515071 0.00029673154667492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0286922392621404 0.00277228437023569 0.00286899899266472 9.65761432022207E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.029211062311711 0.00836251945669394 0.00298040897013418 0.000290234270587207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0285512761678107 0.00378194868044115 0.00285203451173331 2.3426176235008E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0290852073726135 0.00898291300005992 0.00296700748098017 0.000281586856918824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0282805729232454 0.00952881719158996 0.00284892569595313 0.000201420459270193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0292291148309506 0.0149345475650532 0.00302951782635055 0.000620743796238656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0294582589759704 0.0157405760331933 0.00309978947908687 0.000617537343655367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.030752661187806 0.0208195951873513 0.00341664743626238 0.00114430754036194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0288894797804596 0.00365501697469348 0.00290372272113313 2.13175748387817E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0294487701295754 0.00896417698867977 0.00302065306390185 0.000295374320792235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0289806816353696 0.00593645535952502 0.00293425652444426 7.06662077292089E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295453542354271 0.011082096406332 0.0030567305737651 0.000400681302998043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0295871445222951 0.0111683209024654 0.00308371961644923 0.000293327724955051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0301179682047536 0.0167870272295495 0.0032427237111373 0.000800879813368122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0446762608149213 0.0330603164722772 0.00613301450010368 0.00306412302498477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0411293461444249 0.0344598827077203 0.00581233462258692 0.00281328872053645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0702154016145809 0.0529702892290204 0.0122380888100144 0.00831534186187253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0566826025757572 0.0526284115450814 0.0103729018952055 0.00653121136067982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0487866013952454 0.0277345600169019 0.0103283683648942 0.00333743983950538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0483359699561855 0.0325145200634367 0.0099795845871606 0.00512419245713883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0489348137867218 0.0277405548354174 0.0103885309886954 0.00333866055089075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0484585253276195 0.0321349569141284 0.0100312511459024 0.00496244565891885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.04903127401437 0.0277376648442051 0.0104309604586308 0.00333988914142502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0487451721879936 0.0326092791707303 0.0101244861449399 0.00517768221643001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0493164380259594 0.0276743807662777 0.0105652969995101 0.00332457993981015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0489696058195725 0.032000847297906 0.010253020705563 0.00497448978133009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0501159805490906 0.0284321046995103 0.0110193969704877 0.00347587586311187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0506990040916671 0.0322685484326749 0.011045357848448 0.00486153227817331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0524467853604917 0.0307782104201907 0.0118127693440042 0.00387049304211564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0533925669107978 0.0351760422126904 0.0121637442010259 0.00551337628466868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0487048617808027 0.0274444411658805 0.0102907780623613 0.00328467422370753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0482740947045574 0.0323951640437564 0.00994835832352674 0.00503633968468824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0484528642004546 0.0271696008556588 0.0102203110502413 0.00324415329271838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0484215230258695 0.032422940660109 0.0100091186192658 0.00507158423559773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0479869372044811 0.0274832446446425 0.0100370878001733 0.00329647316539936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0485511421764425 0.0321539621355684 0.0101352583752415 0.00484035861708147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0694312098179335 0.0436484819748588 0.0196685922116886 0.006415341012137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0644992365863532 0.0647806250487342 0.017160037908089 0.0301846315803464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.105816912678682 0.0661992892206295 0.0375360586729518 0.0117851028000585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0872262282296453 0.0978336306810687 0.0267458406774668 0.0516240642619731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.631824867233226 0.628826064366408 0.61744887258425 2.17081311444558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0313782086222276 0.0469214795825899 0.00391823101244492 0.00440676949774783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.631917825738419 0.628726978710036 0.617384701116201 2.1703429857796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0312607372819839 0.0467772576478247 0.00389183900138429 0.00438852328354347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.629079073431984 0.625681239490709 0.614771194238441 2.15327049287894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.030914678184819 0.0464542196610959 0.00377303366976348 0.00428445489012227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.628370525263799 0.624595164980522 0.614287075961858 2.14771269555448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0310057167131603 0.0461130208111299 0.00381460374859055 0.00427495730113279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.63094114247538 0.626516321123498 0.609992869565421 2.15662248964626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0312549926930565 0.0496934970867251 0.00381072349222616 0.00856792203646205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.626226358116441 0.623021846636668 0.600201510540467 2.13383011800877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0327773891477938 0.0510607320140781 0.0041770609236707 0.00960060344629107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.633037061365817 0.629797959135438 0.616396280651428 2.17560890426027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0316669487689264 0.0472641978503213 0.00402162673802769 0.00452454100866666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.632681771037823 0.629330665570278 0.615859562253326 2.17426830167479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0320211383515176 0.0474800175601767 0.00414598299926004 0.00459256748565328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.632628009230821 0.628868348458633 0.611810053794063 2.17235730759559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0319331251271954 0.0478592260475814 0.00408342535959867 0.00468353732642146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.62562853760726 0.622553545153283 0.567621550154786 2.11285088800481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0509542683282339 0.0593176167325347 0.0190209203747074 0.0142747247461688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.620905352479408 0.618405662534583 0.506414225817914 2.04238298681649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0698582467926657 0.0931383537072662 0.0266541320300108 0.059506908913303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0722191358913074 0.0120270370172338 0.0169593847489005 0.000576845271339202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.077145913933655 0.0259455502380398 0.0192808429340005 0.00226043166396139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0723177959703012 0.0120538147221428 0.0170013447819065 0.000579884165107116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0771018857552062 0.0260422477890824 0.01930808355107 0.00227388139481575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0723441434989809 0.0121209073291517 0.0170217808297163 0.000585572408286831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0770587424304562 0.026207092088357 0.0193189445188622 0.0023511274206302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0726348769406222 0.0125064318631257 0.0171592454189933 0.000614178755009828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0771608113354606 0.0262336920381311 0.0194109670570013 0.00240751516101042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0800691551995417 0.0155923711030537 0.0294090913159473 0.000877373231446166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.078131315567305 0.031077881724759 0.019909800377293 0.00570642190994503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0900187595065207 0.0200624575685524 0.0580322099607735 0.00134064366111201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.079916817250763 0.0328223357578174 0.0208780416034907 0.00620341031503425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0723811624732144 0.0123670204789204 0.0170416769525231 0.000590894220897615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0769106086947469 0.0252619905286698 0.0192548436001345 0.00215026240498677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0727031465108304 0.0134093620806775 0.0173367050137263 0.000657408441700568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.07677776642033 0.0252955739664567 0.0192594268771865 0.00212623706983556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0741487964834686 0.0164394306427446 0.0185503637485796 0.000912115528493916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0769126439396461 0.0279408488683697 0.0193082596486186 0.00407668732248284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0966308759214186 0.0316907445783044 0.0445663941618427 0.00286440250335111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0891629113127052 0.053318988070985 0.0308765597603054 0.0183318301696308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.139994222654982 0.0463896259503251 0.107197243265378 0.00607902582761049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102636325455344 0.0745624628374629 0.0373278936965289 0.027058461397123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.664022290879271 0.655850610335213 0.658229055895504 2.35911302190631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0460432002913684 0.0583497949984413 0.0074697601505568 0.00764234466100221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.663397277275951 0.655340286230298 0.658231584611561 2.3563317511707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0459000001972875 0.0586027333533308 0.00742722746108264 0.00769124203856396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.663346778163375 0.655271268255715 0.658051414279739 2.35588288088367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.046040989566696 0.0591276244394042 0.00749101556952743 0.0077612901986807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.662355128316565 0.654197443302397 0.657084712287617 2.34974273146695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0458028471882625 0.0585682634700915 0.00739090447972765 0.00772146409701404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.656688497294349 0.648160703785839 0.641973109106209 2.30560973204826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0501569615266783 0.0569965217251754 0.0143505122346583 0.00750914833850616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.651994042472986 0.643287151053073 0.620070212686811 2.26171737258344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.05350291442153 0.0596367589921391 0.0174996687216498 0.010777655182627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.660742613930998 0.652800007152538 0.65606258680598 2.34114017538584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0459683330472432 0.0582326758356112 0.00745274177473897 0.00764695079717681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.658602203964639 0.651175540799726 0.646546370971406 2.32639030364144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0502533393775886 0.0581931506835681 0.0145745463669216 0.00773475449929918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.653774064368237 0.646828542159656 0.632297766670558 2.29618187554857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0508833243287148 0.0580023558919539 0.0146116229013553 0.00791520041892066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.646860223313896 0.645554463461763 0.578629461299964 2.25974726364762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0644860927726536 0.0715515213736724 0.0234415524289584 0.0216259970677648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.648345509341384 0.643739972997745 0.511455631148405 2.19407905112077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0977024195406211 0.0823548691065986 0.0501127313432257 0.0312301103331319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.43126086400588 0.415436603842872 0.249014489506219 0.917736398462228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0489065461719 0.0367399423158598 0.00858312695103854 0.00214886607318468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.431181210487641 0.415518874399101 0.248995823821617 0.91805644236916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0488797567884943 0.0369366794843847 0.00857345232166333 0.00216700482353116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.431130957272943 0.415598199341838 0.248900968950694 0.918382291875474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0490155001038329 0.0366399276970596 0.00863570720032236 0.00212230774798771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.430835417310152 0.415479516291134 0.248508649891783 0.918291738571756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0491421047920319 0.0365654135285213 0.00870756367047994 0.00210630665369803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.43010677763194 0.414625694902996 0.246515127100251 0.916619055291532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0507994690443964 0.0378830017786144 0.0109911545486298 0.00237694208576062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.43649546672362 0.420187671763461 0.248828683718265 0.937858217575017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0482877092571769 0.0384422447613164 0.00850431403279664 0.0029258487347117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.430939841917697 0.414855616615137 0.249097482785186 0.915741892288186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0486363978709882 0.0368873588122824 0.00844299288968559 0.00188545920921378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.431779950017149 0.415406075803485 0.247913942011427 0.917149627163367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0491200081984281 0.036690006819184 0.00864976512786722 0.00188622789939209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.435523289523047 0.418424217680631 0.245235831773615 0.926166222160631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0494001440260236 0.0392698156844744 0.00880200901186945 0.00412381273749318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45552293664852 0.431852526190363 0.246802176530604 0.961806533208615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0651414193796846 0.0553930088300791 0.0261367823936328 0.0154183569640527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.458257576757337 0.42946501774804 0.220932724481275 0.927490250254417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0851329306415553 0.0753813961344474 0.0332097534235892 0.029252362160592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518558842917368 0.508099178754319 0.440271347620715 1.43953788717326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0362617054943019 0.0356411245886757 0.00504999600791812 0.0017508344428925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518669467289184 0.508195166765824 0.440084502601295 1.43985940363244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.03617279533587 0.0357535866719555 0.00502675245272728 0.00175125747774674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518942770073444 0.508458661914542 0.439751642946754 1.44070747546561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0362094997842473 0.0357718455594157 0.00504113310629073 0.00177455061355274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.517052641958624 0.506782326625513 0.439808712456585 1.43435677247521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.039330007554499 0.0358839379249448 0.00834403621433855 0.00181720576841059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.517181457924794 0.50620607981552 0.437970288395459 1.4326552647947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0419191706017613 0.0355699223087893 0.0104974278085495 0.00186657105868692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.513377234791045 0.50265551724867 0.429522046210314 1.41280991437803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0433676959821148 0.0363725330612688 0.0107876580119091 0.00224004417680855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.520792058383585 0.510341111487285 0.43889454736155 1.44797860401516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0359527391305657 0.0355453997433678 0.00495340939478558 0.00170790011116311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.522231579392979 0.511817841321765 0.438133791528795 1.45374261431353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0389987779349003 0.036011796149322 0.00798903771041968 0.0017560745788815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.525907450069288 0.515738357214098 0.438442745377172 1.47235058662862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0360996359683181 0.0389169352105547 0.00500122868465639 0.00499543903863067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.509238357206605 0.498920628939398 0.380275593612622 1.34951521978247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0476143362240759 0.0578135840303207 0.00906089748298415 0.0278851472178528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523725787166533 0.508848314443286 0.35648510662063 1.36022546695872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0693180258830518 0.0678538981457314 0.0200822046175124 0.0278279800362654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.6790145730475 0.670531290659739 0.468529284825578 2.22282611431606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0283499552160772 0.0364518327044109 0.00349701814148678 0.00118400520066303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.678967120300055 0.670508342322624 0.468492620576377 2.2227439240003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0278778057764586 0.0364407136093301 0.00336284620146412 0.00120294849524076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.67928694706646 0.670842866637124 0.467860894600194 2.22422253950487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0281200896597064 0.0363951317429322 0.0034418887112769 0.00119000269059244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.677849984448909 0.669471099187974 0.467863029378245 2.21713629855106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0278731595554217 0.0367192676548739 0.00337401765921194 0.0013393207547841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.680205963345612 0.672107236868706 0.468015056936674 2.23428313799396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0295214084282289 0.0374444132992901 0.00387752256962018 0.00163552316769818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.677341675970682 0.66996796150198 0.461040524085566 2.2205270177188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0316375368260789 0.0388059395461204 0.00441635922595449 0.0018820400349685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.679153406881126 0.670754296310524 0.46789835168908 2.22394923224025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0285518918906288 0.0363196038960648 0.00363079473219694 0.00121531641682001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.674677403754953 0.66651173643185 0.465245822262748 2.19975639231303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.02848512117511 0.0362830964735014 0.00368844269791528 0.00128662744837629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.673139519660354 0.665137226438139 0.461494693133547 2.19111328026332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0288666270165625 0.0371508808774354 0.00376993396818761 0.00158789103506816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.644505944023745 0.641570883840893 0.435717068440797 2.04939438514829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0435817166072779 0.0437718574929255 0.0106490011227788 0.00354990440839141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.61754045683686 0.620660550969139 0.403273704760398 1.90997520531656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0601803953682478 0.0690272970432799 0.0178515780015023 0.0208470372299062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.480582270763438 0.470786363362042 0.318968715805107 1.17171685155611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.035802523991551 0.0335789867548101 0.00519563789540144 0.000974009394286107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.481520387176713 0.471670711225163 0.318810100145236 1.17482444978436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0357781088260967 0.0334465248017525 0.00519652673962111 0.000953213251138113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.481578062760676 0.471679105155513 0.31880599743032 1.17476173814698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0359043025093146 0.0335026430262398 0.00523712774039294 0.000958154952698123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.480410412888698 0.470369856093708 0.318522195644367 1.16944939157893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0358303600030453 0.0333175858705944 0.00524288175252383 0.00091503079174436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.472658952949017 0.461843430389887 0.309503446653429 1.12857744438793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0391904806453765 0.034748219427021 0.00703373112178909 0.00133382596465486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.471422389289945 0.459966139553412 0.303949615229599 1.1166578595868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.038817446916443 0.0360303071201909 0.0064725337469516 0.00162712494447627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.48234201534484 0.471992391658499 0.31833419400872 1.17633989047206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.036516202912978 0.0336948398481828 0.0054074767173766 0.000993189909575286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.480018016779833 0.46926056957116 0.313779485478536 1.16213326981751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0365385354026466 0.033672270498405 0.00540745717313778 0.00115649100506493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.475737310267903 0.463519464082714 0.301772241727075 1.13074565799777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.040820771089567 0.0344561033920652 0.00881089903902154 0.00132846722359454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.49367304576373 0.477418761104745 0.290633990772013 1.16947111849186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0602947095819149 0.048534056833806 0.0241606744441557 0.00680831615201721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.500671751990843 0.483971220669138 0.269492007437516 1.16999857325481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0773195711660792 0.068889080782168 0.0323357145148548 0.0204959930389081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.674400591572605 0.670027652685128 0.647261417726199 2.41800063705954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0412627585158132 0.0552468359771804 0.00649228078485724 0.00703623978894491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.674238198543261 0.669988060380812 0.647163093860283 2.41781564403596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.041000987394985 0.0551065295483231 0.00639842901550849 0.00696705075237289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.674096010640268 0.669926508323072 0.646989602299364 2.41753836241703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0407667338769215 0.0550780819338544 0.00632251441762752 0.00698055444021596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.676536792619913 0.672433821241727 0.646538687910944 2.43138875959905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0405648566522275 0.0550369803652457 0.00626909677419833 0.00697212528302078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.674186564775714 0.670207626966407 0.640572488169341 2.41814963378436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0400545622896465 0.0554051784045432 0.00616371434121581 0.00720002391733672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.67260128766648 0.670240524230353 0.631167170655774 2.41547634275071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.041773770352895 0.0589494449451497 0.00724501147458705 0.011945188176499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.674931022277193 0.670810329877194 0.645709080405864 2.42146320339669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0404818206595273 0.0550578111183525 0.00621443392198468 0.00696933210937265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.676801219697041 0.672872487269301 0.643427159379638 2.43204531508655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0404924674577026 0.0550972053630149 0.00617887159473969 0.0069607735635575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.675833432890768 0.67373951720455 0.635007347169573 2.43203272312037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0402962138581087 0.0597304394499237 0.0060837026248384 0.0149685522711707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.673770625367936 0.670665801428075 0.58003854306856 2.38511914746815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0536220900800916 0.0637995614865449 0.0181679779321916 0.0171394327880387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.659616026514706 0.661032318617407 0.512476559497924 2.28562274636326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0661054609304036 0.0871899408428575 0.0222824276543875 0.0535008672328245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0408528376314365 0.00718242789322681 0.00658500380244378 0.000156105382549539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0419243506487533 0.0167468657386646 0.00689998716816966 0.000996393546441629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0408903411480832 0.00718905990816718 0.00658363349509862 0.00015599906555339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0418313890971308 0.0167896282243416 0.0068804542695105 0.000984012364903236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0409739533078134 0.00727391124410906 0.00659133722096615 0.000159409446492609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0419273808648328 0.0167966388444157 0.0069016916298881 0.000980359940214482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0410264208737565 0.00776932389358993 0.00657149545315204 0.000178496043291572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0420689789157457 0.0167080485918831 0.00693124221180203 0.000948026430765931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0435634673469359 0.012318897899211 0.00760748964889663 0.000438901277643835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0442806659966775 0.0209903982233034 0.00774111221212249 0.00140200670678629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0471799590616794 0.0181036627823715 0.00897051814492256 0.00100431015538311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0463235837499414 0.0252428079779435 0.00824241914186 0.00190204250564513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0413585296882229 0.00767428168352224 0.00682202879401807 0.000186036569681973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.042710802036833 0.0171157166684268 0.00744253125033632 0.0010631741186995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0431043820988018 0.00874028647683594 0.00880919474175905 0.000255626434778447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0415252909380918 0.0185757946683639 0.00681169656910283 0.00151870865569972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0442179449125243 0.0117739589158976 0.00966536450206665 0.00047018956497966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0418585491072567 0.0211453928203034 0.00689044041366278 0.0019805749863361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0602793409960111 0.0285763030341125 0.0146080762010312 0.00259047888863454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.051382241444531 0.035544409410512 0.0128893872633216 0.00553198376109049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0990199075323776 0.0462298762349114 0.0305524064034381 0.0070203156443811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0707503513433934 0.059843794317615 0.0244237559958431 0.0152684744349213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0448467912431872 0.0255840776864827 0.00808814562819202 0.00268628724521166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0448046717210903 0.025607578916332 0.0080727306301656 0.00269107747878755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0449139469486726 0.0255963933220297 0.00816741220384739 0.00273424733480164 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0448734611885375 0.0256197261485544 0.00815247310231562 0.00273900648372694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0451325526968324 0.0262943311789621 0.00840634422433405 0.00294504563242366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0450971627274586 0.0263154814373328 0.0083929263217869 0.00294961933353677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0478677320449888 0.0316802507029958 0.00971290548146001 0.00407360503763009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0478463839585477 0.031692446781295 0.00970412179185195 0.00407754917762581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.083021951122048 0.0706269347511877 0.0265829060770157 0.0150309759170112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0830646380314437 0.0706755272193734 0.0266309843698341 0.0150486788172167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.128376288827792 0.113481430138101 0.0606516127076862 0.0329843284875035 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127356976500385 0.114391616145519 0.0599018925750968 0.0333294257100028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0463469113343432 0.0291988407475959 0.00905816890289142 0.00355530439355091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0463209840328518 0.0292147304800712 0.0090477776077197 0.00355957756907516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0559737581170482 0.0428708429699057 0.0130607043265251 0.00661838845378932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0559790490547274 0.0429065989582674 0.0130643699475661 0.00662992005436596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0878874935190987 0.076926171728697 0.0296505358551123 0.0172179798189099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0879958120294424 0.0769469924117855 0.0297512425406614 0.0172326418749144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.256421790072647 0.208968882262638 0.233888538507629 0.0928778943034775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.236825323982325 0.224600092730205 0.208033614752975 0.10081097218283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.471393410585333 0.31446430579441 0.729604192595385 0.194198164705889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.390871592149515 0.37854393900791 0.581074616449038 0.236879603372272 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.920623740625697 0.900661360737845 1.0226342091505 4.15046558573984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0382899995705525 0.0430355004784615 0.00597890690382712 0.000234393680584292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.920495146847074 0.900373935491514 1.02205774912122 4.1479314162634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0382150886244672 0.0429923326872861 0.00597871710415807 0.000273381969604057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.918956229037507 0.898336068030547 1.02199854340392 4.13339267394057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0382078780734903 0.0429982908123626 0.00606122256684941 0.00037056420736003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.919564074138908 0.898203723300808 1.02390396995806 4.1317016443759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0392948227060962 0.0439456645838883 0.00659082386593348 0.000727946888078417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.936221122732222 0.906395424643815 1.03273868884752 4.16027729748728 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0613313285303769 0.0651619432284316 0.0144884994553372 0.00506164253783222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.954946174950558 0.908002400982997 1.04477632026759 4.12482556080987 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0922186175596558 0.0962566024669102 0.0297885218421344 0.0148434754999012 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.926021993727691 0.90477599525678 1.02427183957089 4.18222781695155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0389772993757254 0.0434717859421255 0.00642114018298508 0.000592207129799046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.927907806671978 0.905251984506297 1.02590868868221 4.17620456816549 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0443566138027534 0.0488280677904604 0.00830309181083207 0.00170416399407963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.940652295511963 0.910303318101083 1.03188499112614 4.18077610321205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0660360625344569 0.0704496384709739 0.0165287591544406 0.00651170433183263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00356190821394 0.894896485847012 1.12054246813305 3.92313909763446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.172377964418087 0.180847548355773 0.0969405055271799 0.0639546156779692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0787262974333 0.859227698406201 1.347386485644 3.5447818504972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.278056046776719 0.290819945073008 0.249248016247309 0.171334065234884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0493693039654148 0.00314183502225392 0.0103099373495913 4.34409150020701E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0493101039308492 0.00352076892762791 0.0102839436570131 9.029477945013E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0494725673484512 0.00657093612680395 0.0104003030199777 0.000154222849280155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0494254825643612 0.00689568948131814 0.0103760410087125 0.000196802026658601 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0500725016367801 0.0121695075545649 0.0107230277556975 0.000458068805066468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0500465480899796 0.0124316471620547 0.0107016005477545 0.00050292452468518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0536884216275205 0.0237215774414684 0.0122783465594552 0.0015721716147082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0536193069209847 0.0239742626494759 0.0122475559822797 0.00164047131029227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0934503887610611 0.0673650367902643 0.0324941639821076 0.0116774101951951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0888545512889618 0.0702378533919437 0.0301740867137899 0.0120971500972661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.150720545233609 0.10710128978868 0.0761521106404833 0.0292201750686418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13552555300658 0.11610006137463 0.0657079253512134 0.0310020773360552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0521408715368842 0.0196529587715056 0.0115861210190231 0.00110701144336283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0521087871799851 0.0199654010897209 0.0115658353388768 0.00116740418070427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0633639828086037 0.0382611969370079 0.0163726944579206 0.00391844278438868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0624685233168384 0.0390174236699569 0.0160599713874242 0.00401957524652996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.100828768826944 0.0733977312873289 0.0371791703012294 0.0138413078210509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0952880102618956 0.0769650831436208 0.034245154812776 0.0144152358860059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.311336268628846 0.196327332767083 0.288353724306553 0.0989586548781464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.255642867937671 0.229617841919053 0.2256539095493 0.109283013044429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.548143810471807 0.303485331812673 0.825430132220042 0.238698543466963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.418501059125078 0.383932973237916 0.609962478810417 0.276224993482302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01120093254063 0.998754425700439 1.2796756049472 5.11018897160935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0465676962468107 0.0479061463370963 0.00885739021608491 0.000716174248393642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01246407412321 0.999904816684155 1.28092076637716 5.12063932147806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0465831597148816 0.0477043335661961 0.008901388777059 0.00072478653587241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01528600160929 1.00239448927133 1.2804613341439 5.13988912134779 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0467171429419761 0.0476601121993873 0.00905718445779735 0.000776118425868989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01729670650709 1.00373035015712 1.28355629642009 5.14859543708783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0484548828245454 0.0493987991374372 0.00996088562000115 0.00125302652466964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02694957089925 1.00234290395266 1.29063916674212 5.07783447174452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.074466847555983 0.0746963513790008 0.0213683093445106 0.00715119855165384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04728516119692 1.0004384593722 1.31187708670501 4.98810548641871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111503119303738 0.111010369260318 0.0433152712816273 0.0205187749755237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00957693500678 0.996038402816077 1.28216477828272 5.08805929931645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0475702750096584 0.0484464083903915 0.00954209929357839 0.00103576935401472 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01254958356982 0.996866918661971 1.283650185994 5.07816319189159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0539068940199394 0.0548921261909495 0.0122309953973089 0.00238895014561218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03843950451143 1.01050534680849 1.29198610016999 5.13516205314237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0787906006443215 0.0798214886588085 0.0235129494770121 0.00875679669091068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12152284100718 0.992096611381482 1.45000873604955 4.76703117838076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.2054662053651 0.206300782112308 0.133185499566662 0.0854867724045891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2164083435209 0.957770356551628 1.77885533635958 4.32252006520339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.330057467499135 0.332659050051312 0.335889023481043 0.230679284564079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.528458079839013 0.512887671140673 0.474851707682018 1.43213396133584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0478146075932749 0.04305306343115 0.00929168484797534 0.000252379990597478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.529858588683966 0.514175542962428 0.476219742175676 1.43862150822917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0479244618525258 0.0431324009224837 0.00936524239944846 0.000291431898008108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.528961350000326 0.512884116469078 0.475991642506579 1.43274403594277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0479901608689014 0.0432054349192 0.00948657984688344 0.00040980103361785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.529478562681957 0.512507080593686 0.477459484874102 1.42955937571774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.04893081538533 0.0448664351422062 0.0101182490591511 0.000890875032965268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.555844046088972 0.529842520150397 0.512079238230115 1.48934926861073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0715179281292703 0.0715959427057255 0.0200487274533344 0.00691151337699281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.590663155556112 0.543641585767489 0.572361179938531 1.52810591804191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105523967593361 0.10758091114835 0.039556960821621 0.0199020184656744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.531498833571104 0.51482722758638 0.47787080572382 1.44117482319554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0480028508724414 0.044030509844613 0.00965970994334459 0.000717774570059825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.537815089191804 0.520165157384923 0.487828912259096 1.46121237678841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0523766679208353 0.0512275963435853 0.0116296450255039 0.00218878967996432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.555664095150298 0.531205944188398 0.515358083921287 1.48933691062021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0727871813878447 0.0771132986743878 0.0205460004553709 0.0087571307217433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721332840845128 0.605996319560608 0.843717658373761 1.81146979659311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.183714425508616 0.203599473410906 0.109805466059169 0.0858823469693979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.907565507367913 0.675299014330408 1.29079923294654 2.14989618571465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.296874878497241 0.326328842906019 0.279837195847651 0.227375054648795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.560689633636211 0.55178078985332 0.678199050223354 1.83112836912735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.035387846908142 0.027248602624307 0.00509481273880568 0.000395198036182639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.559453177713981 0.550422215928409 0.675987648712768 1.82283865030365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0354631590424441 0.0271112324249176 0.0051668867725709 0.000399535093767455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.558853157723037 0.549780817777962 0.675890137028905 1.81711981805837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0359126330944919 0.028197182885281 0.00540583899761278 0.000519722270482382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.559781123255469 0.550204855448489 0.673617743801832 1.8041843887418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0399232618250049 0.034073319461431 0.00667882666924253 0.00119999320096702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.588727447380368 0.563575189929881 0.683873573749279 1.79090199258308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0761914715188567 0.0750574739751288 0.0207622111208986 0.0102085378172623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.634009076801799 0.575646823572513 0.727826649253755 1.77956320842431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119323818892578 0.120389659367225 0.0471740092681115 0.0292660676861494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.562169111839517 0.553062884911386 0.678466614431731 1.82689197763199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.037562466186085 0.0315247096968755 0.00597221361317025 0.000870902650726758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.570939506738307 0.55863363832465 0.679226090283904 1.82505864194635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0483528786131203 0.0445047515417934 0.00936934614382439 0.00270601490546599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.597283465647591 0.569843713521308 0.690922129089423 1.81628721523724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0800352292029718 0.0777611471270876 0.0226330207065585 0.0110630250186786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.768627064866589 0.605589534026316 0.927916260767343 1.82647396838958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.221144634587696 0.219107863866173 0.154148264355226 0.0999819794942991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.944564473540376 0.63115496755879 1.36249735704876 1.84899836686952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.359372416824208 0.357032742567185 0.413530759773868 0.2551362425749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.987153604050933 0.972475469236308 0.563738383287098 4.26479154367055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0282276302528184 0.0396310564894175 0.00334664561796307 4.40321026747249E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.985979755435851 0.97113308007093 0.564138278563969 4.25456382989296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0283440512317089 0.0397106434456207 0.00342141932005498 8.65495628031891E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.985943853185003 0.970652212669568 0.564454091473936 4.25123142005483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0291061088901112 0.0398626426515173 0.00366624067111289 0.000212535437511879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.986861429617609 0.96971312572732 0.565247805048429 4.24377243361107 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0341969677852762 0.0418181575504891 0.00492505910076421 0.000735757209586425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.996366120157583 0.961341050736314 0.584949177221499 4.16960293066663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0725155097980281 0.0713352046892929 0.0180032980188046 0.00704789743944589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00099262051707 0.935139542101234 0.631066044783832 3.95676648633108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115447007811347 0.110016806723461 0.0422293412090698 0.0211027893548248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.988432847869204 0.972083773520909 0.565072804509855 4.26350657970707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0320932857885866 0.040726862872302 0.00439603964047071 0.000517361496580012 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.991832974425886 0.9701216255597 0.570587078238817 4.24884029993715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0456089400404534 0.0488571910844309 0.00800261344234471 0.00201188405041443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.999337085315366 0.959878726222522 0.593537868481591 4.16326409124283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0799521251319593 0.0765771538961659 0.0214322036783274 0.00876601530371779 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01371738593583 0.840349873807191 0.844560640481571 3.23472922900784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.22382666337276 0.207776379932023 0.152383333256289 0.0867172881331507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09994012948297 0.77387513811724 1.25551382055107 2.72255866342827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.36023111635073 0.337840854293817 0.40381607182219 0.228041940754475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.628385752714823 0.619683189409642 0.548350584738139 1.96064528039244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0434520633768888 0.0437029460134408 0.0077583165678058 0.000230967823560776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.62831097365474 0.619397498865715 0.549627279814264 1.96027827042043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0434734821310486 0.0437835367975639 0.00781892021686327 0.000259699955651396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.62917614365412 0.619618453662666 0.551938116235826 1.9631392808354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0437388618629094 0.0438534389679533 0.00804759875764381 0.000369740130921463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.635330974561355 0.62334985495456 0.562007122027482 1.98747350917511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0462540393202159 0.0456574458007336 0.00914499603653981 0.000906154276450729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669822223816077 0.635136994755222 0.630639606430922 2.04596368414399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.080032329222014 0.0761967118604161 0.0235525058908806 0.00793330841177147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.718664279508458 0.644767316147113 0.732856221548792 2.07667676394598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123932578354999 0.11633251882716 0.0510589218936101 0.0234811274286447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.628866005122465 0.618228774812981 0.553255491229323 1.95610596130775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0450079123034955 0.0447219356778976 0.00861692224981879 0.000668108797667798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.640315505684356 0.624449177491099 0.570246462361815 1.99087483233331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0540047369016818 0.0524899826060986 0.0119946353980593 0.00223678109375819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.673704882822622 0.637084814482951 0.632058073362631 2.05299479939132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.083871820654947 0.0801520017796615 0.0256255949731598 0.0093292568338131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.851424406542173 0.675520815309857 1.02409061649092 2.20481379105051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.225154320455178 0.213759937380771 0.15857004188484 0.0926350492893773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03452744690581 0.708405706346763 1.50095944568147 2.3204411204128 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.364321904661397 0.3470411196881 0.412051992639782 0.248197055196452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0391779414638 1.02311836427286 1.35586748424712 5.37692967089211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.046857626530158 0.04819267333745 0.00895883954439954 0.000459553534928738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03955335236252 1.02340451210141 1.35693491465376 5.38031116124953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0468551134341633 0.0481817096713138 0.00899246609035561 0.000510251862025576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03791835512245 1.02169995271482 1.3566614455843 5.36541618091411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0469551552785298 0.048363519559564 0.0091425818344304 0.00064903646900186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03926471510264 1.02282267103527 1.35646860488786 5.36931476645561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0481502708381337 0.0497418206188044 0.00986156759091116 0.00105917612715886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05723961678482 1.03149666271766 1.36107960121328 5.38523220388001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.071225275708114 0.0735707609450384 0.019779232255969 0.00663162681934649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07842529871222 1.03499342999151 1.37824027134278 5.34613904216723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105702599820609 0.108024329497493 0.0394223006987126 0.019142936780573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03873871062928 1.02221477544524 1.35533013064736 5.36554936834268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.047395199376705 0.0490810020680378 0.00948545506250322 0.000883370318817885 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0487144335568 1.03028299712283 1.36023682554559 5.4189255656724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0531109849252293 0.0554168176846264 0.0119093074865995 0.00227487358310155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06599576366349 1.03766227036093 1.37153078560754 5.43001832484507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.077118900830728 0.0794621381620581 0.0226126286706083 0.00842072605338277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16146242330196 1.03711024167048 1.50671969092721 5.22229970243172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.199637340020903 0.202994508433211 0.12644671570956 0.0829697397653542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.24308433961988 0.996321067099222 1.80329508938131 4.70293584822741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.321150780499278 0.327365355517832 0.31896813229937 0.225453189657857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0449527803641081 0.00327260862007062 0.00826774956470592 7.24126310483139E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0449599142646321 0.00328893992247682 0.00827051667820131 7.22803754125474E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0449515153747559 0.00607071494924561 0.0083160790898895 5.44353393014032E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0449610271489797 0.00610610513283949 0.00831958580581173 5.58748937751046E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0450656241623092 0.0111550031037567 0.00849089000903512 0.000245387212041276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0450817818214053 0.0113275771825778 0.00849651550356308 0.000257348154111083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0470545537679093 0.0217995982814716 0.00947847741493816 0.00106546892180745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0470887729748667 0.0220311013972962 0.00949136964177436 0.00109575244227962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0825409418268557 0.0649340391182766 0.0257324331664214 0.0105469899931458 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0783524238955491 0.0651229353803365 0.0232302468841602 0.0100099407085077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.134490620967067 0.105346255361283 0.0610541671874691 0.0287363586684452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.120254410817759 0.107895461405401 0.0501316063625096 0.0269644441208043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0461881093005106 0.0177914191405135 0.00903397010732019 0.000690422970925434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0462169233395945 0.0180471070297628 0.00904433488186411 0.000711859423480055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0540562325071452 0.0352453807960753 0.0122225196486164 0.00291684134100602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0539218293447199 0.0355759889463803 0.0121457375185759 0.00295597404554357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0856245895472232 0.0700535539555289 0.0275702754400636 0.0121606186462936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0819273524569581 0.0707396552860841 0.025214819766664 0.0118277705812717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.271242289827327 0.192489114046101 0.223116183795987 0.101242437408834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.216855156623129 0.208236850214096 0.157728764074748 0.0941784899609349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.502239177870396 0.291390433646205 0.681621832380002 0.252562097277242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.353900197639865 0.343337174547083 0.423783094757517 0.234399542512627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0408029629239917 0.0215039296209401 0.00673739283056351 0.00187513006515426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0407703482717067 0.0215210197823046 0.00672638872700101 0.00187814607834628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0409274470629258 0.02150014767554 0.00686282028993475 0.00194571075386359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0408958214889666 0.0215171198600758 0.00685201663300648 0.00194870696740817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0417518964829635 0.0234689766054325 0.00731366408915718 0.00233011197012571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0417231508492094 0.0234824887234925 0.00730344273074209 0.00233292626880464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0478282191076197 0.0331822071123429 0.00963102805021788 0.00411175061105051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.047807401107565 0.0331959734964964 0.00962259723780154 0.00411518340327129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0985259350307639 0.085980837565932 0.0360401675848497 0.0198714377170976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0985117673822848 0.0860131534323931 0.0360419506853389 0.0198806762187172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.159131009406749 0.139972061155946 0.0911469730810761 0.0451069801906011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156757478690918 0.142088234689422 0.0888502994588005 0.0459585711033092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.045126314777307 0.0284838409040387 0.00861977241881239 0.00319911236667559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0451031333625761 0.0284940002613582 0.00861069639648077 0.00320194585212126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0619086215817657 0.046843605640354 0.0153287850632821 0.00723159586792306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0619086543513385 0.0468513331768867 0.0153277584080977 0.00723724175267636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.106797102157728 0.0881202331548082 0.0418328248313054 0.0207545995487342 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106745820619473 0.0882001975124302 0.0417915312806957 0.0207999723936757 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.336686944279268 0.237172060412851 0.388880834328122 0.112652939268938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.300684388547282 0.266652801420552 0.332966351764656 0.129673306433038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.629022863339416 0.351500415241912 1.2248450643522 0.239003928216931 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.499087109018289 0.459289178028286 0.947388202863728 0.320459761192979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.972338939217438 0.959188132077256 1.06731012568625 4.64138466725389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0314054433266737 0.0388137509207403 0.00404764040818818 0.000186690717797365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.970680013089231 0.95726265950343 1.06778781053097 4.62718003250816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0314778740297975 0.0387317171022917 0.00412502988881265 0.000241937188218204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.970848162978187 0.956608723178283 1.06713934739634 4.621407654883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0320960589570592 0.0390487201588954 0.00438754444768251 0.000400523233359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.973033519766662 0.956674926590864 1.06864396259929 4.61625368875086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0373141875679059 0.0425721608127831 0.00582300466258816 0.00106828815833442 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.992531708388589 0.957763775737812 1.07880399563494 4.56945506065064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0790334881354995 0.0783543056033365 0.0213808654883788 0.00942958577543029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02678049830071 0.961270288966141 1.11543410170082 4.54646724908018 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126494916580915 0.122455198334566 0.0508205129634288 0.0277779105087463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.977423916684312 0.962354630541984 1.0692805779168 4.66431699430653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0345535635578735 0.0407403255085999 0.00508887329698628 0.000735655081021929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.978371522383103 0.957993568938275 1.07183715123761 4.61352553000589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0474929367905419 0.0509984881428601 0.00883899496584505 0.0025061168895802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.991641180718757 0.956223695301124 1.08423284628319 4.55230765356289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0823461019634204 0.0825156058703755 0.0232014919766773 0.0106927905799976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0854533104288 0.919286547294306 1.2866122754116 4.09317655064782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.232020310409457 0.226144969319837 0.166949337848532 0.102448596558743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19640770965555 0.873199881016593 1.71472427395781 3.59407559519709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.377038539871219 0.367439298974899 0.449845231291711 0.267845998700267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0498801566405171 0.00390374945486334 0.0102123197427589 6.63127814200832E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0498284532526862 0.00390493227667298 0.0101911066387284 6.63526426374652E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.049925495991779 0.00809278048678576 0.0102916490498307 0.000230852634324844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0498762591368038 0.00810498292576078 0.0102712152377694 0.000232331759208218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0502697265136009 0.0149832978139291 0.0105796778365932 0.000686298411754992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0502278273008428 0.0150382465475901 0.0105615478891138 0.000692893591562086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0534076201246611 0.029210422955118 0.0121264611745033 0.00236356548736629 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0533238904632997 0.0292984267376352 0.0120959434594891 0.00237258674160067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0980190450320201 0.0824454668576507 0.0358553571519308 0.0175462997976413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0915255638927544 0.0859253736643718 0.0320682261573361 0.0180542318949489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.161797191568141 0.130939226066054 0.0880614151237271 0.0439713034227509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142637050887035 0.141824070449522 0.0729276534272489 0.0463237774463217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0520095467138097 0.0240570066674475 0.0114846670545826 0.00165364335435081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0519577443264709 0.0241671924782196 0.0114629593196558 0.00166517887730093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0641286393778685 0.047074605028991 0.0169027876611964 0.00588270616933291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0631823118804987 0.047533234866905 0.0165188187457552 0.00593668686628628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.107838924699241 0.0900741190282086 0.0424204392481593 0.0209196208862839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100180676226817 0.0940781948964989 0.0377268602517447 0.0215334821005051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.344739359048181 0.23803529205204 0.355148113396746 0.146474226632614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.277718762276171 0.277988543746501 0.26817517579705 0.160946594743872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.614567382779454 0.366784016415706 1.03964503503744 0.355121316186963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.460009920227826 0.460555166684515 0.744921566277351 0.401245509337681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01541960109665 1.00481890035964 1.4342722260019 5.29648767728538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0439534478198111 0.044156951812196 0.00784533369800275 0.000233298887850892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01453672555509 1.00376341394681 1.43171051774022 5.28580015188585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0439329391018703 0.0441137679722508 0.00790279843046894 0.000278592359641774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01410450681964 1.00279409170118 1.43186490351942 5.27720548012403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0441629555491645 0.0442661756969097 0.00814709627250717 0.000430246978687771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0153759069719 1.00243981708758 1.43065882182747 5.26389882114173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0472642064998356 0.0467351114724459 0.00955132835015008 0.00108815396711899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04488910629564 1.01374002442971 1.44670903083548 5.26730828368473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0857832010553569 0.0808118656528837 0.0269485974359104 0.00936765828052422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08184033877269 1.01739828387007 1.48473632291688 5.19296621736599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133019106078757 0.124933021533739 0.0590903776043093 0.0279440526305188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01140195329635 0.999112234700339 1.43155617459927 5.24312258881327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0456782188724331 0.0454773410511671 0.00892785497018288 0.000848226710719827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02914599815733 1.01086024044014 1.44034349930687 5.31608468194663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0574816845027122 0.0556760247419879 0.01355816012157 0.00285116793966617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05915978404788 1.02066983987643 1.45721772739224 5.31447626935576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0934866241789253 0.089265981434726 0.0312767917494544 0.0121971008474967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19155801741416 1.0053095840488 1.73322763375843 4.89024700157353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.255620166201508 0.24403172829957 0.202721341438534 0.121930437369985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34761533842211 0.996548598545278 2.28670327447401 4.63977242058262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.413202732554966 0.398221738238739 0.529008939331363 0.327565998106749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.567943790510165 0.559362289115415 0.498047337517712 1.65780876440816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0410088097278605 0.0373826449322451 0.00685872841742293 9.04426914393573E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.566722713756689 0.557913409424331 0.497454012383594 1.65072974702311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0410309015009638 0.0374551636599671 0.00692748386748397 0.000164709310842856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.566659182201964 0.557150015874661 0.497799185934947 1.64679434571488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.041286905327483 0.0378753142279802 0.00716411722610765 0.000369719786806173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.570976714236608 0.559622221913484 0.504804855629973 1.65764706687559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0447998392507537 0.0425394674962205 0.00854300826090415 0.00121426617130125 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.611479471051928 0.581043712385153 0.567105895815748 1.73414409219107 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0839511535221238 0.0862194420210785 0.0254154103078144 0.0125750780306735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.673352753180035 0.605806050017983 0.691897157122175 1.84052421945314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131970851044187 0.136058348724446 0.0573399077028424 0.0359226205878557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.576163084739498 0.565670813419103 0.509463999325852 1.69280376123644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0432732942625832 0.0400766991143196 0.00796830237940918 0.000851821244955189 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.587817953693337 0.571964052412305 0.524813562599447 1.7126981096785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0557538257716983 0.0546111604698499 0.0124563996552156 0.00365087168606332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.622454316570414 0.586510572248196 0.583888724369827 1.75610397003405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0924374803230756 0.0935430321194163 0.0300596842051928 0.0152756241474759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.88257852872491 0.686518789218905 1.17609470704973 2.2690125176402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.256560809101422 0.260061254193723 0.204885038552653 0.141397611595961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13025938690115 0.753324354536958 1.89612120513727 2.61031386633881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.419947500935041 0.420033413567548 0.553596798682085 0.361323773903289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.475594972512734 0.463705220348277 0.530241403518792 1.31859530930014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0344380244078268 0.0281863934043025 0.0048303689300816 0.000142873108730243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.473706298446733 0.461522161121585 0.529113790508492 1.30928904759346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0344774150605085 0.0282971580790195 0.00490530380692724 0.000226469562131436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.474335115082775 0.46168411865008 0.530030896708755 1.30903329011958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0349616098979218 0.0292172841923859 0.00516828383952168 0.000408097329266072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.475766569608686 0.461991943026258 0.529312973537769 1.298800717085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.039700356003975 0.0351776905296328 0.00662284986687303 0.00115928917748061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.517996895583874 0.485576425456237 0.560330048005264 1.33549991282785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0814701330655336 0.0778054327852981 0.0229184288868017 0.0106515167803485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.580551138032737 0.510005395230808 0.628424309708113 1.38457925519129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129644629484253 0.124783934833362 0.0538378795126909 0.0308162061789206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.476178447374175 0.462864765908139 0.527954888590312 1.30590043713581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0377019380266269 0.0320998257743308 0.00603799665513662 0.000788345393702946 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.487253537995383 0.4685099424101 0.536748169413601 1.30971382842855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0516666901309824 0.0461598599169277 0.0104564693856815 0.00284775430686603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.529977392951564 0.490481099862639 0.575166701100049 1.35495040218455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0889469445796175 0.0817112706435168 0.0273708061981001 0.012218017514801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.750372511834013 0.557454266266381 0.905720178309519 1.50897558611373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.248121815757351 0.234573855941813 0.194256941193435 0.114970171277126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.959950248513817 0.600495091088499 1.44930479217505 1.62433467589794 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.399494753198719 0.385669007641492 0.518180480807032 0.296543288332265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00599966203502 0.997974555371873 0.546443889762602 4.47223252724718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0258504924835541 0.0333525107554063 0.00269169239073049 7.68976665044076E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00591791025521 0.997607520000495 0.547053070427127 4.47015291702272 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0259067039601375 0.0334238580723073 0.0027756175539979 0.000156236436366899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.006555866412 0.997470433598714 0.54796331209905 4.46956370372467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0271082613917134 0.0341698701239455 0.00313257673787124 0.000419103741364179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00948503240979 0.997690633195304 0.550639696731659 4.46820253236597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0349499767101052 0.0407101514141635 0.00491586674161851 0.00139882872818428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.018383080025 0.981282716138441 0.58625171508741 4.3211332703289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0842039944888999 0.0894540815918906 0.0231764733697875 0.0139125766640998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01393782385142 0.929823923899731 0.673484290597507 3.90991686731757 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.136892255938051 0.144176436529372 0.0579409137990677 0.0406968212866394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00727408179106 0.996582538083107 0.548652888502778 4.46047666283543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0316560243034428 0.0369877923592255 0.00414246701588583 0.00085912260866643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01470007900748 0.997134636795385 0.554825858151279 4.45745778530948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0495420185314144 0.0520484823035175 0.00895189157780777 0.0034205411341123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02254134780306 0.979821546835541 0.589712906684816 4.30819211391261 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.091331029073329 0.0915918280183422 0.026923314042935 0.0149790060101391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05145165914013 0.836976391394963 0.97138163638998 3.18804715494722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.26225545168693 0.259398702086467 0.211414068728946 0.136962503503479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18548250404817 0.786553132347979 1.58506607544381 2.7713064322726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.428661126086922 0.424379628874131 0.588244267320795 0.349142464347692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.650717685842589 0.643212401027534 0.551941415243434 2.10952346839283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0394947344363576 0.0375321659529854 0.00634791291159665 6.85093273947974E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.653478916353904 0.645603510285915 0.55508916599943 2.12474716978268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0395798063307283 0.0375408827259625 0.00644099577757782 0.000150157528520002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.655964836904288 0.647326833209938 0.558796855768773 2.13608775817069 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0400585067686418 0.0379921916319018 0.00674874927826593 0.000386672176353193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.66124691667077 0.650193625458203 0.567683507814175 2.14968581992313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0445163804963096 0.043620462817805 0.00835317916793014 0.00138434415041667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.717855727216729 0.68012741257908 0.673914899597356 2.30156057645845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0878881216537288 0.0919656778751453 0.0271219033731137 0.0142905110091107 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.792166859508579 0.706129875467942 0.82646804000694 2.42963334704834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13950110928384 0.147351898137588 0.0627934269393136 0.0424081670650759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.657317116378387 0.6474341504916 0.562637674556237 2.13455083633332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0423571404549569 0.0408040530369451 0.00760431869320665 0.000928844343374739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669679401654214 0.653636670173364 0.587478521372407 2.15985357713124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.055902598356221 0.0563882196993968 0.0123708934880906 0.00378870862473218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.722650166072813 0.680103250504211 0.687630211274471 2.29462136713948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.094419254269566 0.0979182543415499 0.0308986909515085 0.0168693658088324 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.958401507699257 0.739137667647524 1.22018074889984 2.55421060625003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.264618241927123 0.276790317293254 0.217475376824727 0.160803295809197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18758317311553 0.785729430921046 1.92445736958566 2.76446913216846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.432801751386902 0.450762184687265 0.59204100250505 0.415623115338094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16227958727807 1.14961964809017 1.40684029786264 6.51536289003912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0419806952652613 0.0471240415371146 0.00718369872214309 0.000196851733818873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16048780500979 1.14761045279357 1.40472844318548 6.49493726520211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0418953407516216 0.0472989264120429 0.00720669938133191 0.00029505679875479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16003305637764 1.14650800773931 1.40512494708185 6.48509754367882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0421211013292672 0.047525164240276 0.00744377974033886 0.000460651214998064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16361934798492 1.14814533329208 1.4063312017479 6.49576373352636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0455097871479903 0.0497715965326041 0.00881479991073722 0.00114017414994304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1897060375007 1.15412664307274 1.42417943682357 6.48860207724182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0849843111565906 0.0832827413291087 0.0257524909731294 0.00962347913175547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21469802144771 1.14751362190435 1.4613986906575 6.3476456625489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133344235236657 0.128361359929642 0.0578253909759309 0.0289262968643262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16588322650215 1.15175735762761 1.40575313219487 6.53098936364845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0439483701972724 0.0487787967479943 0.00822884593161599 0.000869387583887482 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17236984425523 1.15385740995929 1.40757062890626 6.52941605951926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0550912028506568 0.0584531016642098 0.01233160384685 0.00288768301329745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19660113806201 1.16020142859692 1.43363242512345 6.53712151419401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0902106461251558 0.0908121223123476 0.0288625066122509 0.0121379728108767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29718885909451 1.12448722462622 1.69061166822021 5.97785492838509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.247818177246736 0.243967896604129 0.190217834315979 0.121088524864952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40464580708415 1.06768464521257 2.20876032129453 5.29256162816937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.401217965575469 0.396514114592642 0.499453329943225 0.32422148012884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0411876613265876 0.00322630559420738 0.00696267687339615 8.10111947898804E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0411913252599188 0.0032568931342779 0.00696412009621719 1.01379935339391E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0411910836140504 0.00652989384263797 0.00701905726864183 7.5598627509019E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0411970328794422 0.00656666736532547 0.00702116221052772 7.83975444470385E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0414179034800382 0.0119334532054789 0.00723415868035956 0.000302416215827822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0414303820533832 0.0120373704074146 0.00723821378134647 0.000310967803474292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0446634170357501 0.0232702103433804 0.00850378891032552 0.00125153986916752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0447019098489436 0.0235654224679071 0.00851659968711642 0.00128388342076627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0852814334199059 0.0691253403030077 0.0265179922933485 0.0118101762395648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0818795171821381 0.0694300413187097 0.0243969799143595 0.0114268728969204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.144243184843868 0.112833424987626 0.0678793237746664 0.03304137846518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128119688704212 0.114915406307959 0.0552043260134252 0.0304904581859687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0434301380821328 0.0191690509158405 0.00803131800222612 0.000846044381686581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0434647555083158 0.0193855575306513 0.00804241209203172 0.000867227356353104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0556960466152461 0.0380262669163293 0.0126025709661388 0.00353401824794738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0550477259614505 0.0382614577562415 0.0122611182114094 0.00349743525942588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0968608209449528 0.0750112014869523 0.0335868403071255 0.0144802561601857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.089988288818554 0.0755592145088961 0.0290658774837352 0.0136121570508805 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.307854454089318 0.201852376047498 0.280158157384916 0.111055404718698 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246016178270334 0.223757092933594 0.200589094780115 0.107143517806254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.563118392283199 0.305308989450449 0.84453868270372 0.271487829686345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.400560972188194 0.370394731786815 0.543966090911249 0.265734052570473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.046535890065335 0.025706678013999 0.0088335445994091 0.00270019953294541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.048473640677821 0.0647018946844261 0.0093135470676894 0.0256796581041973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0466448319198326 0.0256490783918546 0.00895164985776408 0.00275235108715559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0486893620909398 0.0641381915033817 0.00946044447130243 0.0253689490790052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0473059091599354 0.0266713647019611 0.00936788296254058 0.00303718512438323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0493723530631315 0.0643080920171461 0.00988205832591832 0.0251519506297084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0519753551227186 0.0341322117890975 0.011447809241712 0.00457293317651419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0538528854211759 0.0708737847378192 0.0119060550126552 0.0257890961786874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0970873193891384 0.081242736249328 0.03598082450928 0.0185514010232719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0980896352714356 0.105854588928614 0.0364040583041794 0.0341739448254162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.15297327598153 0.131257881274204 0.0863470833112248 0.0407646523434753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152669054138542 0.147754730731145 0.0873885708404349 0.0512069528219747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0499536260720823 0.0308855234356412 0.0105901732353364 0.00389870550522707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0518187459123318 0.0684937556043587 0.0110498212240594 0.0260114775465465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0652596000580563 0.0476532111884756 0.0172899493365499 0.00784764951472494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0668930249574324 0.0822841810299293 0.0176491797606503 0.0281802346035347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109008196213532 0.0877750668733421 0.0442514471688975 0.0212493532052307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109822218968668 0.111959065143553 0.0446018826707835 0.035847774143581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.330278033570832 0.242805446842191 0.382039719854242 0.115599377712349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.302836592726852 0.273293290203379 0.341249741442627 0.134820177036785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.611816307979538 0.365219627011884 1.18727406053073 0.250285165351585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.498927960364082 0.462527899632129 0.950166058901 0.324676207793233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.980836702332833 0.961207332965612 1.08509843216359 4.65597514030167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0508594411299518 0.054542734717805 0.0110759007356281 0.00333256678287366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.980176026519743 0.960463750644707 1.08451749585591 4.64945727267085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0508017964062398 0.0548486901647398 0.0111247775944656 0.00343811898522477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.981913160661381 0.96164949105523 1.0838474249608 4.65798143527972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0514236658713112 0.056237570890683 0.0115519850964175 0.00401131195870019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.984377350038562 0.962348437197636 1.08463417354581 4.65920340026738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0543833158741203 0.0609101723420897 0.0128699598170381 0.00526865242010964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.999897522972457 0.96113290745375 1.10056317350526 4.60747676037739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0869838732292123 0.0972526464411293 0.0286798497839079 0.0177230004536592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02419963787352 0.956987789478433 1.12684517963782 4.52052435242044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127938384216811 0.135623720995539 0.0574680264152618 0.0342404771458245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.982256145867771 0.960895752926728 1.08466049101304 4.65147139508591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0524974122073241 0.0580038351810009 0.0121186130403989 0.00413442716847596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.986560778219557 0.961221782298373 1.08647385279986 4.64014910271131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0624262596723084 0.0694429140225948 0.0162706337302299 0.00765447749118923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.999730265117512 0.960634653412498 1.09903520770789 4.59614444404114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0939907092020427 0.100042392086384 0.033889889011322 0.0187183805887426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07930030106138 0.926224600512822 1.26832298711696 4.15723503232885 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.225052306857503 0.22851306382762 0.163548024112785 0.101908844591866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18398438005191 0.883528418446599 1.65200944548187 3.70288335986896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.357381050762314 0.358749659919066 0.415190388766789 0.24975620841369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0655735613584613 0.00812756537698113 0.0177734401117053 0.000266487413895785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0684497018958082 0.0414902976480807 0.0185631157542057 0.00904268063674333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0656738307260015 0.0106040627683252 0.0178920015451874 0.00041827824316151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.068334879749471 0.0438591386779196 0.0185791585443186 0.00942359418801123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0659826915167832 0.0158304656755682 0.0182176147851958 0.000838526894330433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0681366102186828 0.0475289421835205 0.0187560742708542 0.00996726445609915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0682366853412988 0.0282729983340752 0.0197791935078841 0.0023786380345875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.069889788006352 0.0574361309079209 0.0201552431336724 0.0123305627320881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.105117637891854 0.0780724383099167 0.0430640737433346 0.0162202667781285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104429150197659 0.10240900646236 0.0443437664613501 0.029460278911862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.164827444477083 0.123655524634922 0.0952933830244352 0.0403133522557628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156115054061506 0.149310014348136 0.0952687590002548 0.0555760926561197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0668777401239305 0.0238788822415494 0.0189099246995474 0.00175241655107236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0691760558107781 0.0538929661251186 0.0195502554854021 0.0111082988947895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0750599106100444 0.0448999661754345 0.0236917141424144 0.00565885475622181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0765350202258903 0.0719159111529775 0.0241892620510485 0.0164997387433616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.110555200796806 0.0853780543907991 0.0468841278742953 0.0195515511480675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108461200754026 0.1102934082423 0.0468686438765269 0.0327133002588014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.32123631140131 0.228332974966181 0.321143015049835 0.136647736216496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.272790635748167 0.269455821635954 0.267858154514825 0.158268535790639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.568628467554128 0.349754197024698 0.9177491419184 0.327528324402572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.439874204795854 0.43179596575228 0.688025434970663 0.364930624369898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03310452794621 1.01574127639994 1.46783003650345 5.37744929167165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0617649041406512 0.0645940500556233 0.0159051696246955 0.00509717534067951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03310727118411 1.015571545028 1.46739982203001 5.3756959973165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0614169795634615 0.0646055407537163 0.0156966343794488 0.00502153162003933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0346077337049 1.01653335871276 1.46885735000406 5.38464426374425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0619478282838984 0.0649108797923713 0.0163301174642494 0.0050921660783142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0358270871576 1.01618371230419 1.47034979176122 5.37683064723929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.065909793789069 0.068156543718065 0.0189367113836722 0.00658555804402744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05614165043123 1.02071160913787 1.48082109453222 5.33512931945463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10103296988045 0.0980163951418418 0.0378271925602872 0.0162873631893322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09528269437526 1.02759096040171 1.51282647274596 5.29361750166924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142068850863385 0.13629060952195 0.0697674730256013 0.0336341625283179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03561767559907 1.01684451425401 1.46817109428489 5.38361819309543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0639341711561857 0.0675581554027639 0.0175042636698734 0.0064165236295424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04172000067401 1.0200029347986 1.47305206986803 5.39002179884738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0740107917259066 0.0770812006460924 0.0229788723780113 0.00953889108731905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06482774191167 1.02746699738366 1.48676985523643 5.38051861934523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103123116325761 0.106808976484044 0.039587865650244 0.0205406098529851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18062379820396 1.00953011090659 1.71984188066509 4.95268013106248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.247060776171797 0.243299969598648 0.196711646380973 0.118021669088917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32008939916426 0.992180657649035 2.20004769427631 4.61974465028315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.392082065703989 0.39031323762009 0.487864764742519 0.308601114086751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.583626383109747 0.567608479379488 0.520725658329046 1.68700421368193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0599932325684154 0.0543607780885837 0.0141091469386585 0.00382902987263703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.58317122134993 0.566965843220725 0.519906972635873 1.68319489312108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0596349196292815 0.0549865474868195 0.013987471889806 0.00423751750340368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.583864109183021 0.567062087754224 0.520513978794014 1.68342670707075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0608825108347954 0.0556665682590398 0.014848607658665 0.00463982467727759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.584289175077373 0.565546995815105 0.523203565337637 1.67373462651394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0655497901254674 0.0596965018368608 0.0177242532291544 0.00632901037445305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.620187996900152 0.585272471039779 0.583605601163194 1.74655886099305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100409891284814 0.100000624131929 0.0399442295754963 0.0192327740899979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.67976244796608 0.611684610823212 0.707480441973015 1.86499895339032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144748076498349 0.14814249982152 0.0756849366801756 0.0420163873724841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.587513961059886 0.569292625108033 0.5284477417661 1.6981188463746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0629704128278507 0.0576857270047987 0.0161039735783795 0.0057306775292663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.595989340227507 0.573847223282445 0.538100084373271 1.71083370052999 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0725380064243941 0.0690362013706058 0.0216204424068722 0.00921320188047142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.624013781373868 0.585141050226337 0.589024162198819 1.74557059118335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103399059241479 0.101915338625857 0.0406298535461537 0.0197133737147473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.845458006541174 0.666068291298562 1.09822083337929 2.13737433217395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.247913673892253 0.251771128047976 0.198885254662019 0.127596556206624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08257602457215 0.740823127894502 1.7416710199265 2.52068333072387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.396408325994873 0.398353313081136 0.496284818000352 0.319777272166815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.481418224905821 0.465150966403366 0.535107449678772 1.31209987466533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0491095127122303 0.0561558394109841 0.00968411677812098 0.00750475009686508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.482273112082449 0.465668282412197 0.535271749196842 1.31411185252947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0494189036599152 0.0553376829015395 0.00988008831816416 0.00711073639307358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.483122691392061 0.465919678647596 0.5356716449544 1.31421601915936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0499006912412604 0.0564395357253356 0.0101767656332007 0.00739210396698086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.48526552934196 0.466801195466035 0.536883044936888 1.31018499619136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0538754414722889 0.0615234601250919 0.0120596434511754 0.0088317245356238 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.52164785861325 0.484768665496392 0.568076321536204 1.33352601867148 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0912392297638354 0.0954519099070557 0.029931143355549 0.0190323407697398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.588129807571515 0.516546182013224 0.638989499114869 1.42583232013982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135762182296422 0.131660160051724 0.0621479335089181 0.0345240772764842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.481216332453581 0.463892027638376 0.533764485818767 1.30034688713648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0520916214088341 0.060821966645102 0.0113778850911057 0.0091675151862837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.49144835215969 0.470507115660683 0.541383955192771 1.30915404666349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0632653920699472 0.0736346063084529 0.0160226818002582 0.0128176376165824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.528496248649086 0.489875330369726 0.575027959724303 1.34506574825994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0964069810115964 0.103632406851453 0.0333506695778995 0.0228255522764151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.743714372275944 0.558372423115836 0.895328748583982 1.51411257011185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.243456414207968 0.237945221242436 0.193545063282604 0.112902253637826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.945305002556781 0.600448312258751 1.39876132515963 1.6216498472979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.388593875235667 0.380081300699147 0.497687625904341 0.280346963376301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01676963316975 1.00144654395536 0.559345386740971 4.50097212630554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0439172787934395 0.050538872900034 0.00778811668845453 0.00283163017634962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01757908422557 1.00201745617504 0.559524855875571 4.50596084636939 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0446838921597028 0.0509011247316118 0.00806854878402062 0.00308459686164704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0190853955937 1.00286437330637 0.558992666034919 4.51247502791394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0465778779879391 0.0515055888938928 0.00897982765185385 0.00336859168671774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02000818368881 1.00154807034567 0.561583270182487 4.50045854457699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0533236665757069 0.0549376083174675 0.0116159845864794 0.00412977840699904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0324570259223 0.99275112706839 0.59027857253271 4.41497142339354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.095155646717753 0.0948691567235072 0.0331533795194753 0.0153114925894772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02702384473184 0.946400563191874 0.669287899996821 4.04132209598557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14088023614906 0.143645825255317 0.0667590930184059 0.0382100352056713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01882184828276 1.00111155634418 0.559937328666644 4.49723654893856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0494977852846793 0.0533267938789524 0.0100381171922655 0.00372942783559694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02373248039575 0.999297465807031 0.567386667967705 4.47884575448675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0659174954512983 0.064874214477993 0.0168633835247912 0.00635979117683391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02852237967722 0.981384930178893 0.599334595943853 4.32428453222145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101967928040049 0.0999272644829495 0.0367968987757733 0.0171250288130305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05798018528337 0.848219307706797 0.954526952700358 3.27449687435782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.258180310244077 0.259985524268823 0.211218506197478 0.131475653394347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17840952996575 0.800506208562736 1.50508478078364 2.8697613724998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.411790174465624 0.417227340215145 0.543572774828477 0.334090721929695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.670246099970106 0.657206449072691 0.580894076068214 2.18027400660982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0578379990206742 0.0596980979980678 0.0127761749034668 0.0077175499838236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.671933396747239 0.658600607491323 0.582034866023895 2.18842618708905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0581031464160272 0.0600728689079515 0.0129828446995988 0.00790430026418407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.67566230525126 0.66166432962553 0.586379700248663 2.20781787793551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0593661893944106 0.0609034639775786 0.0138101809682711 0.00833715005225372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.680065216951411 0.66421160253511 0.592698374310694 2.2202757803146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0634761449300378 0.066250512894166 0.0161272971546877 0.0103025502507611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.725755103436141 0.686717590306085 0.685102011095908 2.3347885286487 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100571090381389 0.105593467322113 0.0374162686746161 0.0227686739886979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.784696810720916 0.698353016095346 0.828719750223456 2.38421748667119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.146487882265141 0.153786048761715 0.0733899432623589 0.0465562316354117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.674904938801039 0.659333729903716 0.590137786736777 2.19568568802219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0615423652454409 0.0653578855715934 0.0152932506375876 0.0106276882417285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.689045707369283 0.667104253660054 0.614511220419146 2.2377442162498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0728230093364728 0.0777614700014219 0.0210439470691718 0.0144132406935782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.732755122073696 0.68439700561909 0.704413151721797 2.32757129786322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107586164477161 0.110416960327163 0.0418984868266789 0.024633930319598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.95890382593087 0.738763003344945 1.21911418899499 2.56951761414457 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.26942454195234 0.265960305032915 0.228588154891983 0.143703101222314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16923075195417 0.772317571063103 1.87806035246936 2.68969515451195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.431991363391581 0.426608005669306 0.588579601627513 0.364445193473802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17189441132197 1.15352772278095 1.4356086348637 6.55141915186551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0606445026687828 0.0644683955384747 0.0148696370815667 0.00438506744836043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17241221100493 1.15384467182365 1.43676350501216 6.55543921938628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0608576933125676 0.0650494321156786 0.0150608776475325 0.00474330815525703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17190523577078 1.15289644221636 1.43701607315935 6.54684591859947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0611613596107671 0.0661530349681144 0.0153504126069069 0.00508552271415528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17521258366512 1.15479971958686 1.43878850527092 6.56149864484564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0630819381405431 0.0693227976583356 0.0166130341833342 0.00620022438183141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19903579543827 1.16260056802068 1.44922660625784 6.57418903058504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0923498348085576 0.100845303020656 0.0325910465844631 0.0169587715791506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2279386190839 1.16381753674023 1.48567066336772 6.51680904955393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133654935900976 0.139788964073532 0.0624649479579305 0.0349799815139527 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17121103332399 1.15127469090135 1.44100158935827 6.53310889754235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0619607569623428 0.0674593900087052 0.0161284116867079 0.00562057104094827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17856023040334 1.15461675688947 1.44370827765336 6.54847720696398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0701734875155889 0.0761577820479772 0.0201495050007714 0.00819090165273237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20569197765529 1.16653669872763 1.45842742740285 6.60632292283353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0994891687377547 0.10509834027238 0.0363760489949413 0.0184831594527483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29047053427483 1.12553399377118 1.69792834176725 5.99844480099473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.243550010777892 0.242354565745297 0.190152133047702 0.114455984963798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39055914277679 1.07704390875699 2.15472622159745 5.38882460887236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.389271534450336 0.383495083565492 0.48020858584365 0.295616540421956 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0517160021627796 0.00426237420377372 0.0109756947809908 1.79741640292346E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0527182887619934 0.0540615471465294 0.0114719178131897 0.00966390150846009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.051763972115816 0.0069277946200585 0.0110473843291345 7.96594808873562E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0530912894349614 0.0555701243257086 0.011658493347758 0.00976486391793459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0519572746538583 0.0118102491843104 0.0112638484834823 0.000284968891473556 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0533605089579413 0.058705925511677 0.0118722437918832 0.0103078267667583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.053967060733451 0.022547060282821 0.0123829491114449 0.00115987501147231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0552043429757028 0.0671043130077086 0.0128690085877246 0.0125886265390126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0887508223527326 0.0665836799636312 0.0300724522819718 0.0111418964143754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0880864407608775 0.100254199416535 0.0300434310893113 0.0264344884606261 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.141770776197764 0.107789214339843 0.0686273168079974 0.0301995903009447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132836716525775 0.132527545770516 0.064649471508019 0.0429701101616192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0527602263328056 0.017989316348157 0.0117957781164967 0.000712096638121689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0541360482627906 0.063823845757673 0.0123597847854958 0.0115385192671291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0611709841433332 0.0353169410721923 0.0156742139014276 0.00297923144717214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0626404041615485 0.0785569030999359 0.0162207638312947 0.0162952645338383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0959846227392958 0.0698555673332486 0.0345293904944309 0.0123552568444884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0941991487983004 0.103714601151439 0.0334433713210687 0.0274405931630786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.292992418506061 0.189766231854722 0.254688219832951 0.0976634678020882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.241280565929176 0.2219963444262 0.196866469768978 0.105087177763787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.520352701612315 0.288237375754682 0.727405036314916 0.236462739109506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.383779527143049 0.351544416549535 0.499297351252553 0.238929686245179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0742522059946814 0.0429021571657847 0.0234001250696408 0.00785228998976834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0801159168157694 0.135758406975863 0.0249174002412202 0.0722030763167918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0744623669267872 0.0431154194954365 0.0235855460878117 0.00795376583649584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.080238964756037 0.134933583668418 0.0250367860433097 0.0714594005826696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0750706686130653 0.0437193788468637 0.0240893844054183 0.00821680148107284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0805071482233879 0.135002446074498 0.0253310849613211 0.0712758890779316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0783922811901725 0.0468644657650983 0.0269670110689614 0.00938507212743785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0827758725319413 0.137388528882328 0.0270894152485095 0.0734192486393808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.111406717884548 0.0786315651445082 0.052295925129374 0.0209470507059151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1110828167889 0.148980860042067 0.0484814132543669 0.0800631966301678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.158841784493319 0.119415009414412 0.102141782952961 0.0392698874349151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157029755445215 0.176319261338749 0.0964393429058009 0.098052003186816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0761432931866474 0.0450718872291393 0.024908779831758 0.00867681531950754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.08164663291077 0.135348303283991 0.0261794231589261 0.0716316534492583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0843925898027766 0.0543070459410627 0.0305266976211742 0.0116544520735369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0878864717037955 0.137567708229386 0.0305773182813437 0.0730299042459017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.114476010560837 0.0832629575563999 0.0535777656372042 0.0224070743664513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115143819102659 0.152447217672423 0.0516078081893421 0.0818912717507204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.295274929525183 0.21190777330805 0.314475477247824 0.0961572450975697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.278925542347402 0.271779388907362 0.307065665334431 0.193992071111708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.520755465851725 0.319737079315457 0.863132158170911 0.195902590685719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.444080319445179 0.446089503613146 0.79340559414417 0.460577372723779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.929589413295713 0.901945076358321 1.0475494170663 4.13801972215445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0643506364778076 0.0736582603988375 0.0177121893877522 0.00675960066447833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.931930566200493 0.904166996201819 1.04972989716476 4.15671525621588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.06446686417109 0.0738088247243304 0.017793710377166 0.00694577223169227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.933811509006512 0.905405945552108 1.05123012222566 4.16719530531006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0648600389095984 0.0751007717716753 0.0181702309642251 0.00773927321812613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.934659073205331 0.904409902088176 1.05154776393709 4.15771110598217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0676044816972648 0.079506575088117 0.0199598970356439 0.00943051718685587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.943401833179333 0.900424951039027 1.05269297180312 4.08925387559229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0939949483703943 0.109129003914908 0.0366952217407836 0.0242993486085977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.960408138188702 0.897750987432778 1.0659704874286 4.01962434831446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127145781925261 0.146217214020552 0.0637278254415179 0.0478247020280488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.934634285931196 0.905369272862978 1.04797162659083 4.16148489556026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.06663915804125 0.0774901090410812 0.0192013197110844 0.00876311739877765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.941537882734935 0.909072041140221 1.05145830674347 4.18093412683567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0746966259631145 0.0872533650307808 0.024067045610011 0.0127470744554389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.95814988695073 0.91451669360689 1.05934923570417 4.1843969676507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102157129996741 0.11456105512708 0.0437116695448438 0.0266355987424237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03073875156601 0.892764453377066 1.18574381501838 3.86757985282965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.224611668773421 0.233969612099806 0.189790962966169 0.115477548141498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09810939408 0.845826369056013 1.46077895942601 3.38546221204421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.358819127967211 0.361591434129299 0.496118136426176 0.295848620766433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0955183741467141 0.0264988189803232 0.0390431925120544 0.00302127835238653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100198576710396 0.0868280414900386 0.0405476360474818 0.0233984700225595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0955715681513241 0.0276548679104499 0.0391030681653788 0.00322225429369449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100327710941694 0.0873077196924346 0.0406820616348316 0.0237660689966687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0961847007356449 0.0301923217839733 0.0398509115108572 0.00367741072386178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100352779813216 0.0884848133157698 0.0408996595724861 0.0245188905399874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0979042973069001 0.0377264997984257 0.0420663809589979 0.00520754813808715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100772145975887 0.0920298657995864 0.0419306650773817 0.0265497172507586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.122359422153449 0.0770420334057004 0.0667436631621179 0.0177643060260603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119637984495397 0.126318274310746 0.0602556096116118 0.0482210907148153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.167089531648973 0.116912726806715 0.112225484026795 0.0382106907943694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157368683753476 0.167153826785565 0.104728926366421 0.0789198602815714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0972342059458721 0.0344317577604679 0.0407000102498844 0.00451806831585135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101088839814425 0.0904314917503289 0.0424443619962625 0.0260141079317321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.10386375206067 0.0493175305526847 0.0475332413881909 0.00814463940833072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105640576387252 0.101515039057481 0.0468740911847857 0.0326376366802418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.130131091415122 0.0820999083052028 0.0744598746083354 0.0200712497480123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127691875120093 0.130114164488986 0.0702910940638586 0.0522797730245885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.314206908018443 0.203019575540193 0.33820357539635 0.112938980655925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.271070986789745 0.268259817709097 0.302441524791523 0.187653810432384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.526749443167488 0.30933484305621 0.804912240560337 0.257627811786371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.417135247285087 0.426150815342721 0.689289228435072 0.453299926154888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03524865026548 1.00946059299067 1.34201387247082 5.14960381338625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.089154598102573 0.0884085391524662 0.0325582225901221 0.0115169075385391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03584722306368 1.00959960663514 1.3419608258432 5.15022631822863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0899807013758359 0.0881696886771403 0.0334155591556655 0.0114711725159326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03543456300096 1.00836372682821 1.3422453196936 5.13897835904832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0905682610785522 0.0883028716074192 0.0337604600798864 0.0113756949250575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03973123764711 1.00993985306963 1.34656456580528 5.15148417059069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.094234629061556 0.0914685819857696 0.0364967264829024 0.0127777630817309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05357793985954 1.00619793425343 1.36329346063775 5.08279775084661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121526623399419 0.113726339292893 0.0568235939246838 0.0227416786470695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07712271910249 1.00399441665763 1.39091820914981 5.00472444459283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157330856019366 0.14551952773799 0.0909070174934695 0.0404004632317451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04250420696662 1.01541916362261 1.34481162060678 5.19871395839872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.09315505080312 0.0903626128107782 0.0358030818577975 0.0123515520497492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04282607961045 1.01223991961822 1.34268247868022 5.15800492193298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0999156934626607 0.0963194393475141 0.0402361272305016 0.0152029546839645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0544980856625 1.01135223620335 1.35291462076045 5.1118531481797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122387328746817 0.118759350929657 0.0577278944959031 0.0254854779275627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1279121887008 0.98889541367022 1.49544922423658 4.73049055378473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.240444459780769 0.235812381185587 0.207018744018249 0.116500695773771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20707985976185 0.951055028993395 1.78565358393596 4.25202269546823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.37706712651607 0.37354363553194 0.524127843067048 0.319709505831777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.560526801803041 0.53617358393452 0.509937825825275 1.49850018420211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0801113683420398 0.0782798575596039 0.0258830202992076 0.0143251463729555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.560644832939133 0.535983668551837 0.510275690821169 1.4978597150178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0801514543697458 0.079258165967916 0.0259752574123434 0.0147718679215839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.563362752545144 0.538378222574667 0.514310865001838 1.51132782553389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0811122302434101 0.079767858603565 0.02666492539579 0.0147007682857833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.563196016637847 0.537253681439823 0.516708958240179 1.50561354352306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0855591909063177 0.0844517072041376 0.0304902337194708 0.0168639438762026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.58092053556574 0.543147826503174 0.555244327872558 1.52043119820249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111975148654605 0.115436242370505 0.0535191420699257 0.0294022022507142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.628236261437345 0.564285190630503 0.643872253609393 1.60721079543581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.146994905941443 0.153805566805947 0.0895006449827043 0.0494531786557179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.561175273551895 0.535019680624492 0.511794084004496 1.48976481759745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0828970686996538 0.0822188947035923 0.0283925957159333 0.0157178219027546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.569368048376413 0.539248189527904 0.524446901804355 1.50620291463963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0917161597651661 0.0923133124932289 0.0361872115628893 0.0199006699749321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.596053604715513 0.551603389738549 0.576976721178862 1.55351382679832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116414427932351 0.120672981894857 0.0573635694667783 0.0332543221128443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.77150924888481 0.610148525930743 0.95288856019682 1.80031588700896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.245253760450763 0.250244826252881 0.223529534637107 0.135002303326226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.979963254772176 0.679400284668327 1.45571987582128 2.12838564137419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.387467515837454 0.389202221215668 0.547895782055228 0.329140178509894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.585220991871152 0.561686541738911 0.710496691575757 1.8335687833851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0672075448741147 0.0757569475140068 0.0181235608991148 0.0122161034922515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.585386175773896 0.561469157165275 0.710348392665176 1.83212612572567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0672690013986992 0.0752784686828223 0.0181889331515529 0.0116521635329837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.58699470131387 0.562267703539751 0.712323048357766 1.83634231131291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0679818541115631 0.07587587408378 0.0186053024497219 0.0117150678254255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.589139721515878 0.562710748429186 0.713347509366884 1.83295409529906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0711167046036087 0.0803496384588442 0.0204484196502531 0.013654780524013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.615370833118182 0.571514315302698 0.73186902199111 1.82954473309472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0993595948033259 0.113487804839636 0.0379429105574193 0.0294252788813355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.64949657033734 0.576308176214735 0.765812371997797 1.79580103546406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138881945236201 0.149959500618701 0.0720111302617485 0.0515679001409181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.588789392516867 0.562769138121964 0.713035209953572 1.83697222866566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0690902771668495 0.0771634229015633 0.0192910027347653 0.0125433683447886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.597875432931665 0.566693878791066 0.716531060413727 1.84356798510424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0774978593123483 0.0879211243799198 0.0238625518577224 0.0166320829551481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.619643289885133 0.570814871271486 0.729160575379494 1.81966776525179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104677479237802 0.114396846191569 0.0411667048681961 0.0289807832433966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.757862281835527 0.584474432452673 0.917667280409712 1.72491456584297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.240219459957852 0.226424574349104 0.207257554055905 0.110456348966509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.902947851867077 0.599961590181549 1.26198376804015 1.69243642780319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.37227522014002 0.351723304605387 0.504579541348849 0.266449670129371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.996456760067864 0.973077189951926 0.594444011841402 4.28572620636717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0587457907058795 0.0681157680872448 0.0141328514444979 0.00536727517272322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.997488911598001 0.973880999527857 0.594861143181366 4.29195132002214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0595212216373181 0.068162325117649 0.0146063282855789 0.00546831815103154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00101551885323 0.976592925716515 0.592868965640459 4.31181664030885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0610026669410563 0.0685679911885575 0.0153630996373814 0.00548604871698848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00201938004678 0.975564348807552 0.59491446606618 4.30241778882347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0673269839907237 0.0711714007770821 0.0185170066868427 0.00644662684378777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00844486718621 0.965337017787596 0.617867351917099 4.2094745630031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104741947634488 0.101146894848068 0.0437354361545284 0.016779085906925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00696377397844 0.930419586497123 0.676788702879518 3.92885032230679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143279317595028 0.145285872946151 0.0780977721774625 0.0388825847744204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.999299817696919 0.973807853003407 0.596338026668915 4.29052680206601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0649003233607247 0.0716961529644558 0.0175044587483768 0.00715736707337844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00385213997143 0.973715114936533 0.600813996593955 4.28382739582214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0786339238014062 0.0805025401532573 0.0254462590241715 0.0100145447139501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00907573263913 0.961827534067513 0.626811484211054 4.17576157600497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110728896339504 0.109450221620198 0.0487221121282296 0.0203165637526355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02604321957151 0.848213069286722 0.893012585867236 3.27295640332637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.247823273701549 0.254410711778248 0.223240826499239 0.131838759193899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11334684870962 0.802438555256387 1.30142261530052 2.8843258835439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.390464531228478 0.410349569160278 0.563301486978803 0.364742194060037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.635052346412926 0.614662596638398 0.576689578811191 1.91627857964364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0809350385896265 0.0836622083454539 0.0259261885594602 0.0182338972484324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.633406895113867 0.612678691382855 0.576119977881587 1.90516156219838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0808601649781122 0.0847929682006322 0.0258498995282614 0.0188373181865578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.634861429139991 0.613441659289925 0.578587125664165 1.91045445621278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0818611282441374 0.0856529971255248 0.026426163822375 0.018911253100557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.636881186112859 0.613378454005982 0.582347735620331 1.90950277667161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0846521708239981 0.0904237609485124 0.0284383510493411 0.0211094810363206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.690103878803832 0.646590220625988 0.666078095629033 2.09151460323245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11212162862036 0.121495138483683 0.0496664548149674 0.0340914303434976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.736766452360822 0.657138700558531 0.765620235240341 2.13121576739372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149979499640033 0.159012421273174 0.0853570393489331 0.0535732695927164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.645282333463788 0.622643770272027 0.590445528224017 1.96428246882658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0844540475695476 0.0881737907451923 0.0287104056936301 0.0204092392400266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.647217557924801 0.619886878534999 0.601904634872237 1.9450442768575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0908974995789395 0.0982150530281565 0.0336806761395768 0.0241972371708618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.67862111938273 0.631777654168087 0.668355983786571 2.00470833113043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114364693556209 0.124280227502385 0.0521609813174481 0.0352002165152657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.859458392039584 0.681691235214775 1.04744210968182 2.20730285117687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.249529367006961 0.259366817138581 0.224111240458148 0.146436793929926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03001269673168 0.715925994131587 1.49621090632939 2.33089999409493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.399504860499342 0.408491647621874 0.581084871836097 0.388987531950114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05956777427521 1.03007412309362 1.40471528282302 5.38202895268805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0809950313976449 0.0885189302330338 0.0264086151981569 0.0107588239024744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05923527839829 1.0297941748999 1.40373092209436 5.37836682416735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0809897095465648 0.0887261868918096 0.0264237358556639 0.0107698216696892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06288997379889 1.03308625048014 1.4048087198772 5.40657756405077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0813466159614447 0.0893262198814526 0.026738216939786 0.0106393052966105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06908943704538 1.03783098488935 1.40570284893877 5.4442537336758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0833520605734993 0.0927001901739561 0.0282289001009915 0.012068976988211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08551898921954 1.04270910185095 1.40428178158998 5.43327482127584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104885733117677 0.118126410904778 0.0438969244363118 0.0257044932245956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1126970344746 1.04790293006792 1.41647088407147 5.40994719652635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138971540127021 0.151558156289307 0.0738283037504457 0.0447499944940362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06311948292004 1.03328880019783 1.40599259613817 5.40903431944165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.082888535421319 0.0900735369785151 0.027871165073279 0.0113202810051351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06732607347771 1.03489679563791 1.40620291917532 5.41487267242167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.088364693841588 0.0972683370890727 0.0316597101937711 0.0145829522831905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07799522333264 1.03379306942708 1.40298077909297 5.36247673809286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109868647359894 0.118785495499818 0.0476342843088284 0.0264554975092253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14735957203184 1.008500738634 1.49883123986161 4.92997021463096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.231665530104277 0.232832859708068 0.19305900728916 0.118124127645997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.22530585744163 0.971505607905592 1.77060975652407 4.45269190063904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.362754803419861 0.363518254515042 0.474879246355995 0.308652459858869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0771722837735973 0.0130828957231474 0.0254603087591233 0.000498288875576547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0814349332941983 0.107258464831258 0.0283975556621275 0.0288830314315147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0773471383353737 0.0141956778400087 0.02561320154924 0.000581008414883589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0812768570931584 0.107428669637445 0.028254248723131 0.0288369353970743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0776295095484208 0.0169603018001107 0.0259206671849764 0.000808642448829262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0814553248093739 0.108898320283227 0.0283813195341059 0.0295165324380191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0793317634063078 0.0248739260222811 0.0274876846739255 0.00169659816064142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0827882924795439 0.112248945681043 0.0295914258630662 0.0311643671331822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.104949457113389 0.0631766020046626 0.0481950358125488 0.0107015507978906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104332642477682 0.130982329053134 0.0452128096792764 0.0451554949583583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.150413680606527 0.100720473742113 0.0906289750644024 0.0276043081408041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143078036527863 0.158941858286296 0.0813748759833315 0.0669442817022809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0785912723589831 0.0223564611541616 0.0268187560837992 0.00136243891455203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0832643455783187 0.110487456644381 0.0294592772236546 0.0300779387136834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0847071441139968 0.0374675413636772 0.0317384760140945 0.00379772067180213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0875659587035149 0.118791979243245 0.0324533515599178 0.0346745952663808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109970314131698 0.0696279223440779 0.0532788063323773 0.0130958881867148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109048278849535 0.135954154976415 0.0493884626327565 0.0478191725160847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.277825575014932 0.184550850633524 0.254838732207676 0.0939697161367879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238022160063947 0.244514453882029 0.221318179223631 0.158165923709889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.487272266014819 0.276981768771468 0.663487549744996 0.224004108054698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.374874380869584 0.3732517989364 0.541149926755256 0.36562587506511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0617945447279914 0.0369128270616859 0.015314739259009 0.0055031355601917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0617939329118265 0.0369132011827141 0.0153144316144329 0.00550324749712577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0714831692980263 0.0548444197825595 0.0217972767544853 0.011113963616967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0714833065629193 0.0548570249956789 0.0217973836879553 0.011121018317897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.105780103992062 0.0941109093958207 0.0457923618672561 0.0255700047570612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105774925032936 0.0944422836027053 0.0457917425804173 0.0257196119706884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.19451314046907 0.179221660045375 0.14998344514372 0.0686635060138889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194129870750801 0.180128228854514 0.149455528265272 0.0692646948121982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.72552913376423 0.441200789342265 1.75692766316982 0.320786819495627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.593398341715432 0.564082560575616 1.41044447704522 0.443270325945485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.37517404007969 0.632356884539779 5.39097090577345 0.728292087383205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.00465190196134 0.970188627395265 4.07001516024076 1.15614583649727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.161731742475105 0.144848208670146 0.103895043876933 0.049314007744126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161686378170149 0.145373462846213 0.103836753277875 0.0495796001350031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.33067965891859 0.279784774483089 0.424757017150643 0.137009694810088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.317139673916801 0.293535536498968 0.399193515524114 0.148961187133518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.800999712533328 0.471138057018437 2.10633800529622 0.364906520303092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.646232778831542 0.614665897639332 1.67619953053341 0.514403016863575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.880605087818 1.12003953136283 20.8281182174864 2.67038451831513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.9827279040414 1.9467140243545 15.9476412116144 4.21877667057387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.86055164628674 1.78356588205214 55.9886597588749 7.39566750096784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.28874572596991 3.25484514000335 43.9785498307184 11.2751752908705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.415262582529324 0.40740409448468 0.190407760274751 0.801272629409249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0317569201109935 0.032840842131487 0.00415977360731816 7.21702292146176E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.423452781338809 0.40725867377791 0.194687766089357 0.799729033678694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0366076018381803 0.0380865857532306 0.005667940146285 0.00108342011863889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.442640194152646 0.408672107608439 0.208026309800693 0.793695760370346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0551365930953281 0.0575764330898227 0.0113237420757181 0.0045448552169796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.491346618595868 0.409404010962488 0.25799798790136 0.773590116078562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0998571257950096 0.104865091651511 0.0330661875965931 0.0198297475101731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.710514165621987 0.421465333055065 0.674223949767682 0.765691704617539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.28649870048303 0.298554443896009 0.267642339952243 0.169987745959993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.977538400243901 0.466400815251637 1.48973773568489 0.896627875279879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.476958763351895 0.489963119950264 0.789861201994965 0.417352045629725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.472900825614323 0.41144030616876 0.234887731113962 0.788796037587084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0811976216147757 0.085301130648121 0.0226225196469678 0.0124136167660982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.550812473189476 0.409085281094424 0.347502869026096 0.750951083082255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154947246715378 0.163437806689606 0.077250430928373 0.0517580884523559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.735550453671983 0.4274196544428 0.735893003181904 0.783415976579536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.302909311115057 0.318529015623511 0.303477781438415 0.19285026355156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.678204490002 0.654765137344213 5.10686527863282 1.60119633539029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.933700858773044 0.95910777917474 3.29517338239891 1.36054362983057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.70068992773735 0.959032526968912 14.3849729614888 3.12033075908292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.58209043183963 1.6103959640413 9.81667033119859 3.41448695305036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0250878829726301 0.00400850248930063 0.00258901320228493 6.73627278722487E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0250873013356958 0.00776442135060805 0.00258889302757036 0.00137143690078831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0448561148273099 0.038740443604136 0.00759464249237461 0.00395985313048477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0453362986541964 0.041392619011037 0.00767054337179292 0.00465006549795089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0856290195032371 0.0748278680383684 0.0251910138819466 0.0139418110228349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0816955040837626 0.0782057261856053 0.0227560407042809 0.0144572079139508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.19753415773293 0.132650151573861 0.119479333041403 0.045392240408186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158737524670019 0.153297219258307 0.0855861278194157 0.0482611366199239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.736971056545334 0.313641143149471 1.31317751051537 0.271160471593487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.487869593861216 0.475328415487567 0.885852488516157 0.338586777932975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28448129263258 0.493244894168987 3.77747047477992 0.664829486223214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.833537510067298 0.818917406045186 2.68058880670953 0.879150336663008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.154617894749814 0.113607244232382 0.07672411313925 0.0326068088404199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131360150239672 0.126278261784494 0.0586305427582676 0.0342763425071459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.364369831095397 0.193925277428141 0.364046152874808 0.100840593514728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.262035053532921 0.2536212219479 0.244227569805651 0.115405098419088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.817379844912477 0.340510399206332 1.6032749733286 0.320190632549654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.537932292518774 0.525503432600569 1.09142566798137 0.405183181456045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.59912965140311 0.941055199621317 15.061964370312 2.38647944633099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.6973508317056 1.67812538451568 11.4506357000787 3.28914389831516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.31716980278798 1.53795555230152 41.2731583681988 6.30006700302912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.84715894912259 2.825509553425 32.5517944196098 8.79817717208581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.42931594464217 2.40245500324592 1.79734034252828 24.5166537687614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106024292426959 0.11626280865662 0.0454874379465257 0.000574031076029652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.4068797522205 2.36550722918948 1.87164360799885 23.8781759358694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109061269258708 0.119267869676109 0.0502038341021528 0.0047784337639331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.3425813901181 2.26730123303482 2.07357770729055 22.1448623682114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131505818127362 0.142680660140432 0.0709969339780363 0.0171962210345044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.23036640559744 2.06446210607213 2.60959169668203 18.6917941219618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.208529647282924 0.224545042913557 0.157185176104442 0.0736463071142409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.29315532029791 1.74984824183623 4.89214229811974 13.4939146639956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.571779718270721 0.610888591756577 1.02237379174615 0.73751836339311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.65019500894896 1.72155660789364 8.0595088039641 12.8067355751409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.939229316461658 0.996539950927865 2.7808849624895 1.9561585830928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.2646372928761 2.1351638875997 2.40560652181582 19.8761594313431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177116103825962 0.191518712473189 0.118742758750209 0.0477854194028684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.1833771521148 1.89892408513785 3.29324298915073 15.9833232295995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.318083717580809 0.341923733638799 0.337906786620363 0.210328516877152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.33668106070589 1.75320740668494 5.20438935325494 13.5106173734545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.615968765220545 0.658187424032714 1.19328868261227 0.872587926216508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.81689982222469 1.91010393541708 21.4275676550438 15.139086489001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.81962078077146 1.89219844449699 11.3764843020447 6.30580385773132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.66974656467627 2.38843749535006 54.7211196893983 22.0602527916249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.07974971733027 3.1501227929896 34.8236955711383 15.1058755890368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.598476164740812 0.593552026962067 0.357787653597104 1.67733947487602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0438615734353247 0.0403476954320262 0.00772476151201469 2.01247293698124E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.601237592852999 0.58531705233702 0.36778702491431 1.63860025559619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0486479537653164 0.0475239575295122 0.0100471419872037 0.00171285372056506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.613814406366154 0.576967776683607 0.396372651224525 1.58218418447133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0692941470592507 0.073317223411503 0.0184651039246304 0.00752367168185722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.666631765920375 0.573467388267206 0.498300476230114 1.52970730614898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12239848370602 0.134652373214979 0.0508126614226789 0.0335545874466257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.956782453201001 0.614540281079369 1.20633537710136 1.6402603995723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.352264980508451 0.38651056775584 0.400100488299774 0.29923235306742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28784436217522 0.673373307429302 2.48421704981307 1.90130404190787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.588685847963969 0.630452670280727 1.17903567971726 0.735085411006682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.650216730408707 0.579986696919195 0.45673380326238 1.57222262699738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102481144427269 0.111289294222725 0.0368172498959063 0.0216320933482771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.756034623153779 0.586746653091491 0.673235949320969 1.55318812325662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194982933346684 0.214158507289324 0.122516658798217 0.0920675350724428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00182367411744 0.624033823970899 1.34132896574952 1.67973284439843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.38437285859577 0.41660458413239 0.478788044729904 0.345621386257138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.18959628042542 0.901359360576787 8.43993242275917 3.11113382058772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.19191592693885 1.22816811418545 5.25813138838748 2.33548344234559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.47642959310282 1.28792995081569 23.2953166807473 5.76303904704146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.03440635387544 2.06246787207492 15.9939724747334 5.77325973663284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07387724567804 1.06703901857746 0.676150986855489 5.09654364539065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0516936856924682 0.0522391603876102 0.0110390734165542 0.000164292886713435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08457224176384 1.06004262494531 0.7084949731026 5.04251638639393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0637576010065467 0.0688263562404313 0.0167623037354298 0.00569804639264029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09520387064898 1.03229723432649 0.79242333604059 4.79227203802219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100074773466867 0.110318008636056 0.0360877080363198 0.0198587110825293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11875840717288 0.966492867628948 1.02722562672394 4.20164939573373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.18430855301608 0.203303544866664 0.109271466726859 0.0805940562670489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44628700297552 0.930566107855217 2.52383326390266 3.74479311287564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.533814064660686 0.581093767924966 0.897011058539203 0.677545243280743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.92309451466424 1.00709737462803 5.3337175470284 4.23170496828831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.889730647691886 0.950089508733695 2.66149486257539 1.63340095055924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10294038315012 0.982364153541596 0.938630769892729 4.35485702239797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154566487034634 0.167121386060798 0.0789271796541023 0.0523105560685035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.195184727072 0.927947796891902 1.39685958386871 3.8307824770227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.298296437686579 0.321613059117142 0.276206104320059 0.21197654318732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.50772516316114 0.935525465323496 2.83421183438366 3.77072897847501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.586700961744045 0.625350716233103 1.09766873528777 0.772836849503849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.28447012172381 1.37324506177521 18.7454787854446 7.13230280385223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.82063565087113 1.86909736990613 12.2089068654836 5.19524401925534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.22465993248852 1.9981448152128 51.9099508994266 13.6943187200532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.12471108256489 3.17466681520089 37.4996849742943 13.1316393917756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87871033089851 1.83867177075545 0.234031765096071 13.7069922803636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.052632332798822 0.0921062778920004 0.0112991707719252 9.79305868443023E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85638588248794 1.80683901945748 0.308053795111019 13.3062256369621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0692771548377691 0.0951575536960613 0.0194301347065779 0.00325544048754264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.79725656587008 1.72082653818344 0.510480796558957 12.2158585483337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113001211734306 0.119721832048906 0.0451561323709381 0.0133189830517372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.6618918100845 1.48210885034631 1.07395505940066 9.34393207104463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.212159668265921 0.197510607979164 0.142011963232109 0.0594969011375572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.76640203379001 1.15631278389325 3.10516276680783 5.80794697564574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.614832721837266 0.553360723568247 1.15227908035664 0.576094834789513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.19509447572404 1.16100087764231 6.27484351608162 5.71449318887331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.00161894136538 0.921388407280236 3.24129518494866 1.49571116238473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.70803692864137 1.57085247148349 0.859418923983097 10.3793524131907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175635320997737 0.165293694511903 0.0999532954342326 0.0369418050019461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62292088333873 1.30594194384525 1.65959509525323 7.39131928682355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.34120281906861 0.303023855979736 0.353286155832889 0.163001576690643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.81354249166566 1.15292617124819 3.39885240698747 5.7705746327397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.667198567820927 0.591935810343261 1.36545509914735 0.654791208303198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.51109502177311 1.47399723706608 20.5131734915553 8.37505230842384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.93916619142909 1.84099802840579 13.4727570461329 5.00936710224067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.4770078727139 2.08100057873177 55.9180555222618 15.0934741986287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.25931103048346 3.17253573468785 40.2305436917293 13.1081634325427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.354964735918855 0.354558657915205 0.678830232300846 0.969145842463898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0738157650885086 0.0805262544275244 0.0220109010617201 0.00019197637839999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.550064077634609 0.510783631796405 1.09220775675622 1.76526352924049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0853809556462309 0.087543308882109 0.0306549944890929 0.00440788006433629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.861224026332039 0.754131196785325 1.64177539416784 3.244406055228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128776632117625 0.122007281652158 0.0618626631890323 0.0176973183734614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21095433704241 0.985536246801843 2.24183669187826 4.86191289186238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.234764188186524 0.213831761858634 0.179615110141322 0.0787752967207529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85461694853703 1.19569485609223 4.60243104483957 6.25352741598518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.677787217445942 0.612044447784733 1.38418646957915 0.758100777920814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40658889343481 1.29220976142128 8.47283566944775 7.01994276495671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.10401658458769 1.01204003811149 3.81724444472363 1.96125445021046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09424756682625 0.913351990595012 2.0337154211363 4.32797778333371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194547666683177 0.17913906354711 0.128380498587771 0.0514295922920777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44681825701189 1.08924260174275 2.857799428463 5.55669780053212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.373818043372641 0.338182413235934 0.433006908604935 0.223644016134176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.91693027053413 1.20631672009747 4.99548166554404 6.32214627893759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.733272086876883 0.663665514328559 1.63857745402617 0.896240615257227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.87893688676807 1.66362107656377 25.8472029618544 10.6794990898508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.11941943964102 2.0056736398149 15.7206328507329 6.48594777237062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.03838855897829 2.32570802246768 68.67300955635 18.9603323991116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.55426622632821 3.43814246855475 47.1000651739592 16.4479662333578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.68849819635885 2.67084369983873 1.86004882062807 30.0398266413874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108498196427644 0.112822298475041 0.0475505054501058 0.000721083913177164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.67988765085068 2.64530214407008 1.91852454466715 29.5650919880852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111419390837278 0.116631131572103 0.0525309666527646 0.00500545577361957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.62100283385141 2.55104109939951 2.16597906752737 27.7321247963906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1349655074343 0.143743498019437 0.0747936415649725 0.0188857426376394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.44837792433199 2.27996843284358 2.91297756565907 22.6754195244113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.214686971452242 0.231206291400474 0.166460362852851 0.0814959194810692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.45537470580857 1.89905711896112 5.46645874767772 15.8883861319335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.590096919620387 0.636322322309969 1.08582974353395 0.817975765666758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.81228782087314 1.8615109721924 8.88387747950873 14.9984131771925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.970071266319704 1.04094375619516 2.94779212624745 2.18172937521308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.50760784917021 2.37496294278179 2.65121116410905 24.3999129632676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.18633734076986 0.197994323481503 0.130377552911408 0.0535239474288181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.38267109102379 2.0835878772975 3.73595281970831 19.1602937116867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.336314077411252 0.358518523959182 0.375494406772543 0.236543816325032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.52514927873271 1.91181465173458 5.89187381526719 16.0173651997565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.651882930331307 0.692473693395784 1.33048144731624 0.97541066937615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.06307090575085 2.06599548381126 23.8576137699573 17.7465109469979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.9168347800874 2.00134073135227 12.5631487441276 7.11048875458155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.00285611718662 2.56551046301746 60.6756355595878 25.5603745709029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.24127436426527 3.33721114783102 38.4318805271538 17.0520029149952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0805037561758729 0.00323078547072894 0.0260031627353178 4.40604465127845E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0805042108059843 0.00323130950770149 0.0260034553869316 4.4056890542517E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0844006831764023 0.041121903224551 0.0303825121338073 0.00401086241778583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0844031120262674 0.0425014353894052 0.0303841357820613 0.00459295932542734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.110411844734384 0.082128637513481 0.0490694246243918 0.0162859855140333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110414894883935 0.0831573076141755 0.049073782477155 0.0168617411140824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.186993218091446 0.164112556177407 0.124355491234593 0.0643222551862824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.186451663691034 0.16487260913654 0.123104718412242 0.0648608185623077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.705489246010855 0.43781023605938 1.45344280260432 0.549735056416587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.517798194623368 0.487804535142246 0.888008400731626 0.496584495317427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30535422833387 0.626075159566278 4.19870614095815 1.19932001313318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.85398533323435 0.8156759463281 2.54123204397688 1.19523261465754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156398331326883 0.135524598017532 0.0903024362186645 0.0443329917586702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156336548583171 0.136157091116797 0.0901915211684618 0.0448355125825673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.316085664535319 0.268295891399573 0.35001154643585 0.179726710205856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.290024750943105 0.270881608989767 0.281182284072738 0.169898730951972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.786840161183556 0.469626849315953 1.75385758795341 0.645312501889775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.560895646007933 0.535556642579578 1.05252863634145 0.589976206666264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.72864834582171 1.07963150974457 16.6100883788012 3.49833543090746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.71302697552596 1.67801496003481 11.0164213972394 4.08620153996328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.60679011197734 1.70990045613272 46.2074619705253 8.45499075413273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.91657204352858 2.88487314273602 32.9990691893977 10.5739869722899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0452708127071139 0.0285085152449414 0.00832101829621607 0.00329167340905903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0452701415899205 0.0285087232374385 0.00832077105762905 0.00329172225502409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0721331112685275 0.0579216391676563 0.0209186021550799 0.0108394406210713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.072155519079252 0.0581193609246382 0.0209266720902662 0.0109727359013426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.12687773341339 0.108663903269482 0.0612790875289771 0.0288110819158975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126902614390057 0.109359251906633 0.0612854644426366 0.0292262703275033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.249714808832956 0.21789036221584 0.237722358727176 0.0853216506151189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246818029902178 0.221491317848212 0.233020621095165 0.0881077319249099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.976028310349584 0.523951735687438 2.93660192120144 0.443964616722288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.759977879264886 0.723833633024514 2.28816145543242 0.657306799541469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.79775051271285 0.773720591964477 8.69151688612247 1.11657347269932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.28308434498133 1.24430442049722 6.5832297851069 1.77293352426346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.201887754327938 0.179759723801109 0.156229096036982 0.0633164183489069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201140466566991 0.181218800279154 0.155119045805298 0.0644006489770676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.444749479038398 0.341565740348229 0.727775534074951 0.180577846969736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.406379239543806 0.379230745151468 0.646348673818429 0.214247171311464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09247017016025 0.560572121141537 3.57645662458642 0.524267450538368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.83203642226387 0.800679760427811 2.75613170705442 0.789909428685424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.72688300368027 1.41652573087563 33.5518735446584 4.40591931995699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.54535866354983 2.5174708581662 26.1376413028531 6.74595593803965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.2293671350428 2.29118482598796 89.947935240302 12.3580611158104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 4.22095915583425 4.20391182503421 72.078961621331 18.2121102920575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.401143489548847 0.394902258351465 0.171416207003794 0.750595861265268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0289507014933294 0.0270882653698628 0.0034607091412877 5.04228900419324E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.416691458568713 0.393773040747268 0.181936118874023 0.740085588466973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0443489038186819 0.0417872122421327 0.00741240770483828 0.00206455276040075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.448101774234607 0.392086914649346 0.212725797752659 0.717979993950491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0771294329154963 0.0732529214950273 0.0198073336960531 0.00916536848361522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.52207740531492 0.39140222513861 0.311275143052244 0.688384003677923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.147769450243964 0.141091382740622 0.068035461593733 0.0391256962862154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.876080725901549 0.439601283778762 1.1662182469709 0.797041583643221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.427589506511901 0.414757148402871 0.612537982398202 0.304075854685325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30501924290916 0.552458055742504 2.93826769459771 1.16697879213148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.718497112539895 0.704478242802408 1.85943774703838 0.760409758120088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.491594693444261 0.388064942711276 0.270016907806463 0.687135838973391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122459051028539 0.114127541900326 0.0472999213933217 0.0250258722013721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.619786486027104 0.3924046843814 0.496175633445443 0.671120929367479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238596314915187 0.223503685342681 0.178363577997402 0.098524588827953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.928775068565154 0.447762536230785 1.35220391985809 0.817579224485195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.467160614230591 0.446074283704612 0.741581435312451 0.34555052902013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40670653873437 0.891609331705533 11.2861413886686 2.66528505827343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.45290903140418 1.43050447774374 8.14402531053819 2.64692459598019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.92112195361887 1.39928975313899 31.5507226033016 6.03460808860647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.46153813533249 2.44310968516304 23.9879632480258 7.0342045095978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0307404437532077 0.00598028111712323 0.00380369808564839 0.000147844073142325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0307401672379121 0.00598026432272648 0.00380362808028494 0.000147843292952841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0466066699128537 0.0446749825978465 0.00860959460525331 0.00540025199254512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0469896150286673 0.0448014109754169 0.00866242477951367 0.00541868797976163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0871347932799206 0.0858298820647638 0.0272627524464789 0.0186917277445512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0824179594224755 0.0879150268060767 0.0240852881736979 0.0188089565107849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.206920765574421 0.149117432706152 0.132880611382689 0.0591494538690815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.160859691818701 0.171316504979852 0.090259521991858 0.0618511721792007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.790472712111597 0.334484721871101 1.48222568666304 0.319900553306543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.510511556878445 0.515762300082744 0.980803289527726 0.40315031285281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.37230001490097 0.522328787676637 4.25630880850961 0.762954137009082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.880909237964257 0.88047752462178 3.0077117195591 1.02268980434557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.15962052778932 0.130022015667609 0.0845008507273061 0.044055153744557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130874550438817 0.14322902048453 0.0602908518736586 0.0454140682026432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.39063007858088 0.214883616904313 0.412585149238495 0.130391343758713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.266409127070022 0.282877071704644 0.258796230271336 0.14692238835733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.87376483594825 0.367474636107926 1.80274125695691 0.387042551747257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.558315028183581 0.575567769447668 1.1962936664902 0.493193929366214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.76415223431405 1.00246095413577 16.8998295496821 2.76670371009433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.7861637702982 1.80727286074146 12.7745916720748 3.84427262217577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.58558756708805 1.63523352025118 46.2706019005862 7.25981977978987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.99892584367858 3.02844881200535 36.3198871869109 10.1661462176653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.45670475821745 2.42949579905014 1.71311827945825 24.9938012923513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0845175324306004 0.102145343266347 0.0291323108964842 0.000369875296433305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.43138472799302 2.38492666565385 1.81099029315735 24.2165205896671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0956624353256618 0.108778150216384 0.0383021690516817 0.0056972280966395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.35312679538904 2.26049543941997 2.09003864589271 22.0090229622804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138362504160944 0.145602416148347 0.0720606394659489 0.0231621019091725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.22123955114976 2.01135676871603 2.80048016222597 17.8073672372526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.245990809338044 0.249120391589798 0.199942323585804 0.103244581873205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39078500895064 1.71246909506477 5.73953248000762 12.8705250004471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.705633708047113 0.703482047407724 1.51588923736563 0.996997499692196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.87922037124572 1.71495743390334 10.2552969311237 12.6268478890916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.15970624468829 1.15414574026376 4.24183818281919 2.57465031107226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.25549400228682 2.09220273496082 2.54996426331704 19.1427648535143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.203732037662037 0.212406620430257 0.142659852211258 0.0693248662297671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.20178813198845 1.84955034690431 3.63890590637151 15.1683707248288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.386896015167737 0.398003764248461 0.46860504868056 0.303993096556687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.44907535992115 1.72156592520263 6.22086418620533 12.964725623064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.759547209235385 0.777674297252205 1.77240084868694 1.22361688008685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.40664206641642 2.04914120346875 30.4977342850696 16.8989091135636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.2652897678796 2.28747357788802 17.8861840697978 8.62352222982358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.74996278735796 2.74412834116892 81.1619727345137 27.6249088939753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.86141861509964 3.87111306911453 55.1833017992858 21.2644509803244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.598313511416499 0.591798100430504 0.334972197009668 1.64916576197026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0407103943164394 0.0401475570593753 0.00712898789669719 5.65935054125743E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.610603221775507 0.584755832276546 0.3596696933346 1.61290920147385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0550530846444759 0.0556746225397675 0.0121613065901181 0.00321114024950388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.637200279925937 0.573738372934973 0.422211894417469 1.54077475795719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0920171810592655 0.0941247407470032 0.0295998072245351 0.0142959644446404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.72523355774978 0.575290498761621 0.600643880421018 1.50636130719962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.174216518387253 0.178989056495831 0.0965481447199983 0.0623542958958956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15293578249079 0.639842147168328 1.89856251232336 1.73078110493991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.508796160321224 0.520565062112511 0.84648505465281 0.510035565537568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.65514605700083 0.755862051394295 4.46423397307582 2.28316003202832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.85483662280898 0.866999198843251 2.56161304641332 1.24926059647695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.691211204863212 0.571979315024765 0.528945383397411 1.50537522542274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145899316351278 0.145350391325459 0.0690342594351837 0.0397996965476694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.852320681604653 0.588228480277572 0.90008671757508 1.52897735716763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.284230763583731 0.283297680583832 0.25290120403396 0.162050558786105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21543222704085 0.648743517255747 2.1706988108395 1.7661403945048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.559970206818985 0.55622546266665 1.03822493819022 0.575648084245573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.97039939464939 1.15268030198129 16.5565180216436 4.68080179263628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.74329645444386 1.73423188385558 11.5152439464544 4.14309079593336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.79318205062173 1.76187292502584 45.9744271244892 9.96651922773716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.96657164248907 2.95702288372044 34.4319225041934 10.7573132405813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06781373877178 1.05399372537389 0.657380176685444 4.94161440111689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0491145952402003 0.0574220641327211 0.0097987934926122 8.24938598486226E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08174320593887 1.0462008087017 0.695040586148062 4.88843148024667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0666739437902576 0.0716842295841606 0.0177771582259254 0.00451950485869697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09424284635209 1.0126040126833 0.793814076590933 4.59774875771061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111009984027165 0.114436689966975 0.0430445752756837 0.0195713572777422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12601036624207 0.939932562682455 1.07332305198886 3.96594904528889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209744293537572 0.212270663630176 0.13892540988495 0.0849530306134959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.52417395773767 0.912541545800485 2.92606251342022 3.5783604965528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.611138523292743 0.615186333964572 1.18637804000168 0.728265263294095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08054768910238 1.01776419131452 6.48018057239744 4.25846469168123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.01711669829176 1.02442999773275 3.52274666636969 1.79885581781111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10788459334283 0.959340796045051 0.965625729762093 4.14262389604053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.172814981228894 0.175735949324848 0.0968089270417042 0.0559535227702889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21930390451214 0.90107923015295 1.51346484736852 3.59961791017865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.337068721904613 0.340018512313346 0.35182799196103 0.232236738467964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.58670596675547 0.916574326859814 3.30296437302864 3.59279002301482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.665693099610913 0.666572039733338 1.4291244493041 0.849270065035112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.6063328702439 1.44710204446248 23.4869459492669 7.64324017038317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.06686127058654 2.06112713744075 15.8696993272797 6.05993168451587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.78682348192785 2.16545764568276 65.4399926168601 15.5056747665201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.53439545258067 3.52507688422641 48.2349287840712 15.6713769936528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87396878373505 1.85121799312741 0.197923985840473 13.878346757986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0451831858060502 0.0681516585826371 0.00828370255249983 0.000999164029788855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.83042465601508 1.79520828125652 0.329065917161205 13.1664240242941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0707670135694433 0.0846429697786799 0.0191463959100679 0.00653343542644194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.73949820830086 1.66548110491358 0.628509102418029 11.5342787183899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124716020164358 0.133382934243933 0.0517812958128717 0.0265034487679052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60248463012066 1.40505734566772 1.27007797556782 8.47823496986729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23997554111627 0.247077820313583 0.175468602238566 0.115275834581816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86371195388285 1.17785938205463 3.81376734680299 5.9862611793297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.701656376228704 0.711350490677677 1.521319616132 0.990776979381224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.44880101663791 1.24835533977633 8.38036005502754 6.50694278863197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.16448621980878 1.17227603584188 4.51081961598523 2.4080074783972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.64126994169526 1.48968308059142 1.04469745229324 9.43265838317874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.197814437053017 0.202389944662338 0.121853737743607 0.0740489463313039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61703610882253 1.26597432824236 1.93390662759547 6.95009280959125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.388469696378644 0.390947329150829 0.452063374380563 0.308759929712037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.935856734582 1.18366644073635 4.26991770932396 6.01875535276443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.762958365102664 0.763806828144782 1.82410582435343 1.1308491649874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.15985775150128 1.71670960723421 29.8234179159223 11.059401164292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.34159662869137 2.34422572608921 20.1200548377465 7.91390036296768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.6134646774905 2.51495378156341 83.2395589704909 21.3667367864415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 4.00344390805496 4.00556285387663 61.4227511033529 20.3315659745678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.244221175914425 0.236722377708599 0.440157692814635 0.545207731794386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0699296825929583 0.0633835416863449 0.0196428178202064 7.51193654748024E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.552771570041104 0.504494973099635 1.10703747624111 1.77091774083005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0866092459953924 0.0823835091637631 0.0308801405680022 0.00648038567943778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.910949406473233 0.794445489102154 1.73089137094444 3.53026866762938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138894407468259 0.136091956136562 0.0691881378190779 0.0292180292889004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2699723608375 1.03131563621888 2.38420439097833 5.21005757724395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259160193062597 0.257238643948868 0.213165239412463 0.130155546911905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.98056291975036 1.25990270235878 5.3359602816958 6.838417383498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.75287838597701 0.751115059205069 1.71855664432996 1.17373957433209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.64267058115153 1.39437183020466 10.4795206118262 8.08316072257745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.23438124727574 1.2336214815813 4.88939839834421 2.90393516345928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16157302124626 0.969063643980783 2.16471948153754 4.75587374474853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.212522794770565 0.212471459506087 0.149481836852247 0.0857755836357792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53782681895982 1.1542370566859 3.14397482924827 6.10634258817278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.412616504480881 0.414961734348666 0.524054227210129 0.363547278393701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.07835945612287 1.29557519143454 5.8884799979259 7.19746681941974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.810946966018486 0.817455097104112 2.03801421204759 1.38682958229626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.46250863342509 1.90669494932997 34.5519156368538 13.8729665401746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.43801334790567 2.45936730381685 21.402952407616 9.48249987329119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 7.04993631575545 2.73293232953684 94.1741788073116 25.8738359020567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 4.16368967485658 4.19307660094075 65.7910371262428 23.8194056986591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.97422933557575 2.95384339179022 1.11287353579114 35.8386745731725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0855812593805086 0.10153365655298 0.0299075192962771 0.000546471743659664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.90838544775564 2.8675174536395 1.37727845900131 34.0602519702294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0968313552346628 0.109655829269312 0.0393851197266211 0.00632122502575358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.76461780847157 2.67811130176932 1.93956438114694 30.1958323678876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.140879964350625 0.149276425300067 0.0747169715897135 0.0254415785350118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.52703797841871 2.31655952198396 3.03607924472342 23.2858095841612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.252181434373204 0.257996657047066 0.209324878730337 0.112922438445864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.59763656429706 1.90321034832518 6.42043083932328 15.868039841544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.725369913806776 0.733332882626962 1.58979231292884 1.10072779551685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.0756002959192 1.88398830744781 11.2431355684823 15.2931007049248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.19250011496636 1.20463657694243 4.4312415637959 2.8624764089526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.60446938305817 2.43991184357396 2.66304724770576 25.5576719620438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.213913665510602 0.21811375627091 0.156081190770846 0.0745656556455915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.46183129145417 2.09439625317667 4.08374458671549 19.2634296967831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.409174798391505 0.409259991840663 0.519904692090732 0.326485527843845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.66897795955475 1.90846731900479 6.99297964959515 15.8685287312365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.803632377359294 0.799597737430916 1.96592806229526 1.31289570653696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.65149039962662 2.1806412516245 33.4686735257327 19.2843003908572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.37285181355109 2.35847285235869 19.4727058575417 9.32776482755692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 7.07187898594724 2.87792827274879 88.412742571994 30.7674836603537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 4.01733570549893 4.00519064622389 59.6009915173558 23.1022635485157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0633362070214444 0.00203664247236268 0.0161025438390835 1.95487020178675E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0633361558391791 0.00203704554880135 0.0161025207067041 1.95483327014896E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0744869402330865 0.0465387961241781 0.0232056120423321 0.00527451387043327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0744878608537309 0.047438132849394 0.0232063068346682 0.00551389195816323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.114241648972415 0.092999434198297 0.0484848566532035 0.0210903432396483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114303698623466 0.093667663663807 0.0485368337417705 0.0213984767158826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.21139597627334 0.185695298639798 0.149938180165803 0.0828930900846208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209276632683156 0.186365124303709 0.144548517339663 0.0826148160792872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.836064257371205 0.471871387590717 1.91181195498813 0.654109899018048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.595394950137986 0.549509898496089 1.1599879313799 0.608251678717605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.51405200515033 0.679427696781066 5.47702983281967 1.40174263533326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.987174020727912 0.925607143455662 3.40656981008476 1.46154575852694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.178168155770661 0.152426927188876 0.10876756077397 0.0565018224813954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177420063222575 0.153040926194002 0.106766971942921 0.0566343383853362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.390604346617635 0.296559875609405 0.504163227116798 0.228203335078513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.340835257285593 0.303976357443297 0.370056126526596 0.21137181095043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.941407287674916 0.503862486139844 2.3597996965528 0.755071885872732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.65893387183071 0.603484653660117 1.44381004258535 0.716636006813901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.17529369282474 1.22435099997476 22.3699512134407 4.38677733328351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.01237419880311 1.94911520411916 15.3286527843624 5.23742109073736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.32894437822831 1.96344672690963 62.2460405283919 10.835819544189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.41465536694545 3.35784591943328 45.5111984030402 13.8448574620654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0553391433283368 0.037587967559683 0.0124356392984344 0.00573738746185461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0813994938296584 0.7771757896657 0.0172065320692324 0.382602986593578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0757180912397432 0.0584548101587013 0.0238126508966078 0.0121249364981384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0975401746126456 0.761604070996126 0.0265610016991943 0.418948692567883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.125354586624914 0.103568221960628 0.0615716045448805 0.028528063715794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13734529464659 0.709537412249923 0.0580343532357804 0.504788131896123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.239694440839939 0.205344558789734 0.222210656125249 0.0803308828103987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.255217932807461 0.634894568256242 0.247580359081108 0.630551005739683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.915785572208055 0.503980252322831 2.64343768582949 0.405800080189177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.798368077041198 0.808081001615542 2.63390785612853 0.862064062537985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.69982446825235 0.738158651960657 7.86540120273973 0.999254030876723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.2672693147711 1.23566367575558 6.47773791090309 1.71667315744206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.196185737464209 0.167162626863441 0.149898262606228 0.0593115685627279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.208216715744082 0.657370332413299 0.156636279201585 0.579724495825068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.418778157677492 0.322918671899797 0.659400219674594 0.167770743877212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.445293966906445 0.64183608265367 0.828613405546391 0.662362209251069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01508533750132 0.540366480654852 3.19969333735789 0.481426460950015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.859283494592011 0.874558606125455 3.03355437258782 0.977606656587581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.50160156753627 1.34848209144569 30.1809085567887 3.93844815050602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.43038107386626 2.38382757507816 23.8967974328281 6.06124740474791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.8532680338195 2.17124108013794 80.5335010200646 10.9930694234352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.99934568262448 3.95445767250055 64.8023795810366 16.2219376064386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.403143404272627 0.396082463214066 0.174997935851274 0.752205987659727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0502698526057314 0.0628102978756594 0.0118703392871467 0.0170248448114344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.417229935572818 0.393622444507629 0.184422396173373 0.739668640624173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0632581540573212 0.0684990680180726 0.0160575590987678 0.015260044782504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.447710671814771 0.391903870657764 0.213227796351027 0.719417729035756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108227906429498 0.109295316463675 0.0474029410383363 0.0284938068574472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518124081448723 0.390033860121438 0.306696191521721 0.686446729674301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.227206332462904 0.226812284068205 0.221028340567713 0.108793086237274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.857544271424372 0.432327828502091 1.11270814651913 0.775415908783434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.559136692603957 0.557674574429815 1.3137482885843 0.573223925538455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26771699253005 0.535629059624447 2.77618459584585 1.10227023498744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.802580186958047 0.799344485178371 2.55310577393487 0.995138756643442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.492818727001351 0.392854221331525 0.266795416347955 0.703783633370747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.181449391376056 0.183147296170767 0.141485765177034 0.0759219586561912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.61699550526152 0.397495662901316 0.477682650353003 0.690087059412912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.34943394766702 0.357095877759372 0.532248669301973 0.261358465709943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.911357566933144 0.446282040400401 1.2663849340592 0.819657594912163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.581122128921043 0.58846047632555 1.39690634047124 0.613621148700616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.32365320562974 0.866800151765784 10.3556245009552 2.5329977353743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.44266431613322 1.43814064176021 8.09127647804609 2.61689563324681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.76002091317608 1.35035791529784 28.6505550618315 5.63600448110029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.37225236832038 2.37447804451352 22.2443520738789 6.61423708510355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0376426125849968 0.00639875008396049 0.00575527286144617 0.000171172385815901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0667981665996459 0.214058321266595 0.0181149316922234 0.0301094449161143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0499752090252294 0.0425956068716416 0.0102557931698936 0.00491787579935142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0737343869426567 0.236255889298265 0.0200413679096183 0.0565770136320369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0864217560489475 0.0819880534610436 0.0277383886999488 0.0170669955710482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107648288815521 0.290653081864433 0.0383492063233993 0.112490009525201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.197560099814467 0.143725408449751 0.124773905523629 0.0543802038057605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.218577988721958 0.402230009995825 0.195712122676756 0.261438528367347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.75464856561127 0.323338834136197 1.37784720378497 0.296822333675566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.629793232917429 0.686416539855485 1.73100490623352 0.774540881698056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.31236931995676 0.503026039997689 3.95170388184382 0.702492531600682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.950944064845728 0.957650390339075 3.73488869234602 1.23816083431807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.154996493491288 0.124401717090396 0.0816255855166068 0.04005398701936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175518899790402 0.361044958553612 0.12229046632014 0.204258651908347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.371287160311396 0.207543339642865 0.384416996876012 0.118749665862062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.368794272356305 0.502040113739226 0.612639122531257 0.439578106940568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.837506382343375 0.354318830678117 1.68028403818695 0.355310967223064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.669142630260178 0.720867977133419 1.92438060459195 0.798849714290806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.65186351201683 0.965849007740387 15.6356994456759 2.53926925994688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.76749086196339 1.77402692394005 12.6041120662201 3.60691314277095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.38172425273776 1.56997585895406 42.4452793575732 6.60282879700813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.90195830723146 2.91052722341773 34.0466678142608 9.18474392901666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.49805963102536 2.47532236575227 1.67020508943854 25.8030824829075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.324528019771653 0.175882500925201 0.279456693009002 0.113864614709797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.47249708721855 2.43060022061166 1.77037554432695 25.0177092725825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.312852554031715 0.17925175385098 0.271054275099008 0.111694540226827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37831923467473 2.29041895584447 2.07797899514653 22.5217199016345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.305495814705437 0.202223046110723 0.26765732808199 0.114977349055643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.23827626255922 2.03690266135163 2.77583806163443 18.2221582266327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.353169846016395 0.283478829154688 0.390919442342277 0.170465941091685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37520942181921 1.72945863772549 5.55138502544793 13.1308948381554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.76077566788227 0.708800118934628 1.89454629710233 0.981232113967272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.82392909278062 1.7213268349279 9.68183031393643 12.7529074025157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.15591641834981 1.12593949850879 4.30758214409285 2.39412027622984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.28153944183443 2.12323689938 2.51508995092296 19.6584822270337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.329924730772067 0.250511226229309 0.32859176134231 0.146045108311605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.20881541773891 1.86388571115926 3.57693448069899 15.4063555252728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.481162468404239 0.41284023751957 0.763019592065658 0.337738991515207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.42858026093664 1.72605208677159 5.97559151704161 13.0436493709253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.806631306912512 0.758056641813753 2.09890033675609 1.12929527655362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.24146075114503 1.996660692638 27.8522389757072 16.1290733449267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.17206634103204 2.15125821219287 16.4189064625332 7.63181609756971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.42955789202982 2.62982357972283 72.899548317153 25.6665925682331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.65474893213388 3.63645057156902 49.4077044140472 18.8606317881905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.586412065826364 0.577884190500192 0.337949395529083 1.57875234352704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.085348320250368 0.0877861540294486 0.035333537339411 0.0373735318519518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.593535294661433 0.568181852456937 0.360464574271168 1.53310805004575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.094046807694682 0.0953099862997851 0.0379458029306422 0.0356257825982136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.618573388091657 0.55856499574351 0.41776477533857 1.47053087834991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132398921557892 0.129574653060698 0.0667622322504927 0.043758826752939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.705624717172886 0.563263877201502 0.586074039140642 1.4518839489851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.245124137299968 0.246040465776848 0.241455044146991 0.127542641751749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12093010864265 0.630864824165346 1.79917663930584 1.68975723971492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.607754092522427 0.62272224500493 1.44489578877221 0.70681156741988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59870817280177 0.74207397025984 4.16376969228537 2.2056256344121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.912038102952555 0.925687067875165 3.11713049436938 1.384814719189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.673607827542527 0.561930409809169 0.52224224619904 1.46092319606443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201879356658159 0.202404593254927 0.162766046614018 0.0936032424043453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.831949671898524 0.582214125605586 0.874855384008064 1.50150672313414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.380041756789824 0.38867380815128 0.590877118527221 0.304009344009722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18718159801221 0.648255684195329 2.06240041235234 1.76678409366111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.651354291821938 0.66656447313444 1.63388683762358 0.794771788684929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.8666640023758 1.12550566142736 15.3871328595053 4.48443059716687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.71705203144056 1.71632306857892 11.2341672847703 4.02118199865216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.61032735395139 1.71101979545588 42.3953693830579 9.45694666942825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.87114685290338 2.86199208228208 32.2103878893723 10.0767660978418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07575910961846 1.06518969220268 0.659185228675872 5.02950523496143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.150550507699546 0.180626000417564 0.0790661282976017 0.16998047867366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08562908385541 1.05331471739135 0.695538119199889 4.94263724546005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.147448566124116 0.17588119414725 0.07559749755004 0.144349380825058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09398614110772 1.01721310542562 0.792262159339458 4.6333243559662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.172460779380815 0.193174509739506 0.0993932977125315 0.131602240141507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12806619029822 0.950477698868608 1.05762425124841 4.04761653358007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.279802093713743 0.299955456329158 0.287743712781436 0.215789797340082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.50126543881834 0.920162177792354 2.79031106257237 3.63996849890011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.669369492020242 0.712013340351591 1.58723121817062 0.940940431097267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.02801993624591 1.01505606981287 6.07120603824428 4.25660236682095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.0266600133485 1.06741254453094 3.7067664774853 1.89866738094536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10665329998396 0.968071724080173 0.955206166583948 4.2078980035383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23619659632182 0.256995229558675 0.196967819696062 0.179455712573952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21650292690024 0.91733041135062 1.47172830603726 3.72069948432287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.413511811822303 0.448581485509568 0.630210925790342 0.426406433058364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5626814915215 0.92890927507037 3.13998576768072 3.69055615703953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.715309008866283 0.753296846275755 1.80017182731047 1.03891309213729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.50545598979099 1.43105393454359 21.8111184398807 7.59119071825207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.01090898280524 2.02727246810224 15.0596480219157 5.80514522925317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.58816595512393 2.11164004836135 60.5136043041619 14.9042769516497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.41030520701855 3.41070756089484 44.9181766483378 14.6150614775733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89416164660714 1.87170284246842 0.178410598215593 14.1636300957033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.153479358534501 0.0976866846313145 0.0713819542124981 0.0237250374578314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85619177417884 1.82262330786918 0.29626957229727 13.5348416871959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14853725455186 0.110155896767997 0.0712824197731147 0.0285100668300029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.76584073570881 1.69458604744714 0.593841691592462 11.9064969049918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175702314674612 0.151143948958299 0.103400768316565 0.0461459782320701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62673004124101 1.43693422666039 1.22624218829992 8.84125050029889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.297618413270217 0.258445386122906 0.325100593986442 0.125710979762942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.84344480190158 1.18702224465411 3.61923151630451 6.08027094786201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.736046209960423 0.707139083547681 1.83909548326166 0.934593510950194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.38257325139539 1.23780791912571 7.75393963464672 6.43437987135129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.14487411113153 1.13418136555389 4.48137837738517 2.20311513277692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.66225200265214 1.51781119328532 1.01447621659934 9.7662584457286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.250253270852953 0.219176781730086 0.222001044367555 0.0926297695980134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62079013321074 1.28695437802244 1.88240935150175 7.17301444591887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.447094515280575 0.410534951752415 0.717119796444193 0.325363061176644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90991836419244 1.19821147241394 4.04932046862378 6.17020795713537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.784846622628199 0.774434105461971 2.08416792313684 1.10981087699194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.01110592001991 1.68336464820007 27.3493386514853 10.765919925305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.24313623666022 2.25987955626412 18.5263817657159 7.32652549788369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.34548421526855 2.44008805867337 75.8114771842791 20.4146410306148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.82463477333301 3.84081903539526 56.0629718400933 18.6639832220451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.271852096011264 0.257941133294135 0.477667602724933 0.560687908051362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131721358556719 0.248025861366655 0.0885992900861522 0.308640966576783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.5425418173614 0.491410366028031 1.09622194247544 1.65210201230079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.141404164787594 0.241462627066173 0.0931154964777986 0.270410993315147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.893190384482265 0.774375044833264 1.74427021386092 3.37392968543983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.180320948001226 0.237196726712877 0.119662170155041 0.203758842361489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.25961316517537 1.02177975471967 2.41313917978163 5.14888177665882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276928212275144 0.321103412235091 0.256785680895878 0.230409544184259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95713843577935 1.26388304325021 5.18545287259693 6.90520711695094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.747490328260618 0.791381927256277 1.8141448792591 1.21694470764995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.58053317451445 1.38738489081188 9.87973001177113 8.03480232968585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.19592970265456 1.21245483586899 4.69397277955406 2.70675677024451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13943769181021 0.947701171475756 2.18022495508286 4.59319323133972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23844514642285 0.291392763573484 0.194442827916196 0.234009028975975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.51016242375396 1.13813710133007 3.1177986708778 5.98780487110715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.423257942462369 0.477321210555607 0.596599923490874 0.478944903002193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.02775849490613 1.28399086224911 5.62842155599598 7.09605720807497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.795806508813003 0.835734748558759 2.06255446860583 1.36715083997108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.24431758832886 1.83943471681294 30.9700749806512 13.100899376112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.30372780652177 2.31625542750744 19.138277377194 8.40294181865512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.66531015474767 2.60047998439772 83.2610505315323 23.9784481355056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.90967782703804 3.93728985667344 58.0264577527537 21.0508046705538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.02303912688242 2.99800678141943 1.05990292443082 36.7907866696971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184569507626835 0.229236628805119 0.130239847206464 0.266032579075278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.96717046665923 2.92420054964658 1.29267265639301 35.2520645768236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.185228414546058 0.238953061129923 0.131127091375589 0.273909796778219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.82028511589902 2.73304923343266 1.86778554403145 31.3080569415592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.205170697655132 0.268146160541547 0.149339301446462 0.283929768764733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.5690029791977 2.36207342841931 2.99402236056353 24.1290899821801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.290432073217486 0.338870302453956 0.289122871155103 0.313307758208904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.58582235133366 1.92160007915591 6.22431353467337 16.1765029799826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.727796378345826 0.7705860005489 1.69502744081902 1.15123839603549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.01023968577862 1.88051716482722 10.6493056068485 15.2189757412776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.16176459185348 1.18715093871829 4.29290906402474 2.68757313686152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.64512592095523 2.48159438852022 2.62269308218518 26.3642596803393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259668831477769 0.311316030530943 0.229244086660656 0.301014954475527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.47703019957073 2.11818154253039 4.03525374353496 19.7105274002694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.43220211427747 0.469602499339914 0.623825810955177 0.483404281455785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.64625872351086 1.91833133889623 6.74046613740338 16.0918584890198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.792498516272942 0.821912593902098 1.99754986531326 1.32704746745322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.46701393778068 2.1510690206952 30.1787775718404 18.9277025819869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.23924775556093 2.24471903413957 17.3650533155369 8.41723103877672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 6.72445526587554 2.79278398450112 78.3435809345832 29.3969321302874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.77485870054643 3.77008531074871 52.6252327215218 20.5266317284964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0791028191614787 0.00541028813532566 0.0254177324701016 3.40157869584335E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0996222494205116 0.372070901897505 0.0521022710740858 0.091742420619492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0863983467143217 0.0432959822764023 0.0317738465484502 0.00439863493720935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104728628767264 0.372950161988965 0.0554133842404195 0.122961843673478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.119589086561854 0.0861176908452109 0.056032174744971 0.0177513302919816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137235470157809 0.383140871333646 0.0781443657371106 0.205862097371125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.209442154392663 0.171951149295209 0.152410626644833 0.0700778301476906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.226192048253661 0.433288277789867 0.17211208606372 0.372291921267884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.791213551086585 0.452856211496751 1.76182212355511 0.588369326417651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.619911990829788 0.652742422724028 1.36048284064417 0.847702880561661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43980025070472 0.6582081054799 5.03872606888467 1.30113448244063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.981619645671677 0.946381475574406 3.47895744847336 1.48590937759297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.176990115025517 0.142021348451994 0.112056792977077 0.0483041552323371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195006556846125 0.413689445012509 0.13385708963705 0.30917922269901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.367790942887353 0.27853632131305 0.45855072254775 0.19519009934272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.356663911148582 0.499445029769059 0.430495557983069 0.533187929138149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.886762639360883 0.482057762628682 2.16008730678894 0.674726183700488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.670820223678865 0.694173957974319 1.5929032670113 0.92259497849463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.00107708567443 1.16127714685754 20.251901892797 3.90975929315078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.93235560531205 1.85216160517563 14.1991797539984 4.6765994595297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.03100525702071 1.85715628886824 55.7150975064866 9.68519580627169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.23711840868859 3.15703037106162 41.003889265551 12.1835772682753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0928693682114573 0.0629987183755779 0.0363936575171337 0.0168640230754537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113175669776485 1.03271577092312 0.0328463219531258 0.355922237681315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.105202601156939 0.0719226702114588 0.047813811612707 0.0208561727776144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123453219079131 1.02447740509659 0.0409163217727295 0.408062609449988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.141902684618572 0.101992584665597 0.0857361591337283 0.0336647763977914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149858697104674 0.995764179060852 0.0665355645472373 0.557229858893031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.240245276216717 0.185020125825534 0.240503150350028 0.076987352609294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.241733677985616 0.966809659542069 0.213493639602879 0.932795500168513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.82215768793719 0.480615722052809 2.30816384680735 0.372625048902817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.84809727592669 1.10285414685551 3.24788215573037 1.92427220537323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5254082989729 0.704061936719701 6.74510845807544 0.889162465190315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.32616658166929 1.38210244261821 7.76749065737653 2.66211332890563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.205602981468814 0.152871392236669 0.179390668718391 0.0589384944908897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.208513173735897 0.974183243755067 0.150192210285939 0.78987704102218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.400479485506005 0.294578032125165 0.645743023611445 0.153010303449658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.438483101119571 0.988292183510941 0.83326575726606 1.32116211139822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.925532349559728 0.510039069598753 2.86578225253364 0.422421672630643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.912342438217362 1.13839444095159 3.74099039767871 1.99115169431338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.17434679992637 1.24032716387621 25.6576096651362 3.2481287587022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.34871830049453 2.30323987213715 23.3806779695207 6.09402260800453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.22642362434272 1.9617198156707 65.6325172394692 8.84124376778215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.80842586676929 3.75318356738396 62.3866397950515 16.6889975984258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.437912137916336 0.424765311603098 0.20488998566048 0.85131001130473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0528933291082159 0.0730479968508342 0.0121616684971437 0.017980869562022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.451972759943854 0.424400538280311 0.213399098453656 0.847707723077012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0641996501606406 0.0762250445539827 0.0170765712129144 0.0161533217822584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.478754308074706 0.422245956157284 0.240320493786126 0.829171630214094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103503773838448 0.109334539417974 0.0459275735939231 0.0269964884655579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.539710975258814 0.413842665651713 0.335646904112154 0.774574592445405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.225002050642954 0.226325535439219 0.229670040527736 0.11031873576325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.856614636476637 0.443719790976813 1.18772331656378 0.821449703035664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.643542254979388 0.652569598659245 1.95532205250203 0.82679862723131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.23547971827574 0.531843830986082 2.80478706651903 1.10419529838664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.920150810015992 0.925255529160064 3.92612000934589 1.56923558279096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519489384950943 0.417829368036514 0.2947183618215 0.796933429782323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.180491048088004 0.179260187441704 0.147971208307021 0.0726340066942704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.630882096336055 0.413230477182433 0.526778301492639 0.749118722896572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.381168672367265 0.376043484745074 0.677135461245279 0.298952963056173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.906336405727794 0.453619798172062 1.37854327766944 0.847530818533725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.685675038767018 0.682444794114147 2.22140708815242 0.917905591400464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.21457868465314 0.836074695022784 9.97421380934428 2.38459397565208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.53130545191499 1.51182452193832 10.5095375573183 3.52919904783378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.49837013896998 1.27460641949376 25.9654715763988 5.09917826706994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.4273388435457 2.41815599408039 26.600368969658 9.00614383206655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0607712483957982 0.0201433761919521 0.0155007880950253 0.0017061801007638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0953752596911309 0.280721089163553 0.032236004121287 0.0418920773725086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0689160398175871 0.0449241274830128 0.0211670771114648 0.00649182657072492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0959034877114507 0.294878077711961 0.0331812945740631 0.0697940761647586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0977342689316722 0.0797261700591445 0.0414886116981271 0.0179140975799802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117823007484564 0.343120704777458 0.0476650019164936 0.130800624587028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.192569422985646 0.138981403809793 0.138807011616204 0.0520699478823074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.215683261738968 0.471805389837092 0.1879214538348 0.312111893754278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.705415361262778 0.314911299346932 1.34018419382534 0.278446017359338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.703006054255124 0.852274569744261 2.36902628150617 1.24870241004599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.22869098453738 0.481715471564704 3.74591494710724 0.64318372927959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.05261604218711 1.12483870529648 5.18669423847323 2.04241111148763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.153162126982483 0.121623652747433 0.0911740800304251 0.040083692065233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175449898054717 0.420579126874703 0.120211619746833 0.242138814855429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.345616269456483 0.203569208716401 0.379696233519129 0.114663620692445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.371970362788861 0.606165166833028 0.642017712088682 0.599462999861826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.773738736155593 0.345058408307365 1.60102309579906 0.3338929236519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.742868772069028 0.87014859528868 2.63764019492155 1.31151230000673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.43015475227068 0.905802558280653 13.7839165720804 2.24740586484918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.79736566558463 1.81371120969659 14.2817695729737 4.63346501029546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.94245878544674 1.44926939366753 35.5288275395324 5.70104452657148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.86950672857104 2.87610218843492 36.6175885463687 11.4952072779175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.49737085959581 2.45880367592012 1.77410199953862 25.4573524170159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.412826973519775 0.219743383476246 0.363948273861877 0.1557914948246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.46633605749616 2.41270125660233 1.86933951804863 24.6323606807645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.396938487361512 0.222386192725592 0.358170815595347 0.153040780776909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40243419341885 2.30997316518488 2.10279628506462 22.8093281985295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.373827111528937 0.236610345985899 0.354981544795158 0.154362400708455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.27495170783916 2.08373980730332 2.71398269978519 18.949712911873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.390292499187647 0.297171537943652 0.467809872521039 0.19136938647083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.35220953361118 1.76722811176243 5.20211580593342 13.7002901883962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.835220975804692 0.7285036410434 2.65402917510011 1.01226337298802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.72108490435761 1.73735491157579 8.6944324773209 12.9803787726907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.20257917317807 1.1274225588658 5.41306969347108 2.37278610982065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.33238744181619 2.18443702040076 2.45781525369367 20.6368785589227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.382413538720033 0.274243143035414 0.420531289633328 0.176748745134013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.24351788574944 1.93346935595522 3.43738774403782 16.4709223861903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.523410168496715 0.423392989847026 0.958576297483803 0.360639271723757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39120864294865 1.76550339445068 5.5849842652322 13.6540280217365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.872834224124536 0.774270085656533 2.91747168398903 1.18318766066642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.90406689391447 1.94416830574362 23.1026527614158 15.4954840264609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.05592208051703 2.02809045798637 16.1281439242966 7.04116561346147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.71027233195496 2.43965405130029 57.0052762455646 22.5989972625455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.41900847645754 3.38564308548528 48.1151940221132 18.5936341447368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.614632883672151 0.598661279493893 0.395562260265399 1.69577327422113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0909502685579029 0.101845014020588 0.037592093151714 0.0415942162912225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.62129547215745 0.592224990238352 0.411128602816335 1.66000963910287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0971182689294006 0.107496430102648 0.0411231940772007 0.0413972204885868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.645861609349754 0.587959125354293 0.459173748214262 1.62299327924685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129620484252595 0.136171846184955 0.0682530651428441 0.0486246990492352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.721713063672489 0.588226079405929 0.618135376985817 1.5855467112552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.242770481559123 0.252386292328077 0.255623755796495 0.139164813430824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09890877862991 0.642795147311033 1.80241026030244 1.75948531132018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.683228366360024 0.720228034322097 2.11032043014957 1.01907426600735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53261120368988 0.740304286485875 3.95182140881574 2.21670781635418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.997641818135245 1.02629016968481 4.38035001823149 1.93193789253836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.680234241517237 0.577309579951176 0.548708374443791 1.54474077699046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194719339025006 0.204235472399177 0.16464119667349 0.0973688029635206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.827276011315392 0.59832741294364 0.894195674814581 1.59181178281528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.391448750298788 0.412350662012827 0.69276355338393 0.360174533906697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15465840562866 0.662511094447711 2.02183986971973 1.85555919078103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.716008079988472 0.751974579038206 2.31865497283472 1.1027572270322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.66426772417788 1.07741265299987 13.7703208417361 4.22606927316821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.71479714674675 1.73021685175548 12.5581839038995 4.70167003057122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.16990182075338 1.58111791031246 35.7402008218909 8.33088017658957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.79807434350861 2.80589216661902 34.031956065309 11.92520412084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12447550353434 1.10510218707123 0.734009573413026 5.38917555747712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138440259299978 0.201741570225168 0.0752549652849297 0.180886719402731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12896671292976 1.09260521348351 0.760830287146123 5.28899351258825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14038104507308 0.196564064743202 0.0757051518549804 0.159221305554978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13876866079646 1.06278677447486 0.8425247147918 5.0339404323461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.163948177980194 0.202714017276746 0.0992869562094694 0.139719318504994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16440190351855 0.995380046466145 1.08456470543937 4.43746312982233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276978284706769 0.294966926718103 0.313245431867008 0.214275931172652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.47690627965305 0.937258881442584 2.66282658320835 3.79234043257524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.756580081180748 0.78824951566034 2.46295198498173 1.20179542906303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93653126664459 1.00932267536203 5.47675757162618 4.23292227093025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.10516906867114 1.14348791807308 5.09410261545791 2.32920360390168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15134597586769 1.01491696553815 0.993061700254343 4.61353876759515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.233612031291164 0.258541855289727 0.2180649745693 0.184508889632053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.23010629380784 0.943134667491196 1.48152529108535 3.9535743179476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.449187107644761 0.467476803014102 0.867554444587756 0.483422414718783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53799348800154 0.944297723533334 2.99279554750081 3.83686319636685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.800807511972721 0.843086509376319 2.68210290221623 1.38436286245977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.2493797196294 1.37010799346029 18.5923307441675 7.06390729918999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.98267869135887 2.00232027156956 16.0741478243441 6.11269729485443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.03825595017508 1.96628339806946 48.7366773989741 13.2440592900153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.29324897749281 3.29563421236059 46.491974969231 15.7118517695525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89101876535483 1.85400709165569 0.245697252787698 13.9420276779803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175827534438456 0.12737938996108 0.084528013572126 0.0324581690583369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8651597740376 1.81865733002019 0.3322480046833 13.486366606845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.169997302979864 0.136435805945252 0.0877034065324461 0.0377097895962047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.80029739892727 1.72454287058732 0.558239863569574 12.2835163972543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.187169331235794 0.16552375328321 0.118557955877042 0.0534943404250641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.67136066300712 1.49381996893891 1.13100822009436 9.48742691737173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.305970538912762 0.256687007639234 0.369294065064677 0.119824065520652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.80540187557227 1.21155555506117 3.25407885514662 6.33129330877046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.819222066450284 0.741660610790241 2.78308226633346 1.03355568279234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.25429511833173 1.23225752465149 6.63842699909137 6.40989085245174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.18202305035363 1.14344661896128 5.56204060737221 2.30337436249066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.71175421444949 1.5722349903412 0.925597273941201 10.4051438383849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.263239339083705 0.221162232086041 0.258779134170226 0.090533099978117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.65218536812272 1.34093882495288 1.74112125223282 7.75019399659436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.48471020486577 0.412894129045534 0.967925573778497 0.326808393392238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87398098680761 1.22361164561192 3.62414034775372 6.43445549616828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.867419134179754 0.787525423664309 3.05491290950215 1.15427518748227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.66510263836956 1.59925977615849 22.1409171448556 9.89022307370338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.11747102286141 2.114218182963 17.7607815935559 6.57833243823113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.62495240038452 2.22718581807146 58.5390542133112 17.454567345739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.55021500534271 3.55562815431995 52.4918726390449 17.5188484549126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.403725357223611 0.370181190715992 0.777771550480599 0.965334836038783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.180222396427669 0.322435407778651 0.149070575630397 0.459154608251015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.564838203491377 0.504575483743839 1.1492962231669 1.6439498208479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.187127204891748 0.30763062712679 0.151164947902544 0.405873496252021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.834801909399096 0.719395317774376 1.68456846885765 2.93312056006867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209596037533617 0.282465246661941 0.164795682373533 0.301863809949938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19272606303338 0.968068779958026 2.34661434983223 4.67819275795912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.280924185653876 0.331415018162389 0.277536043754446 0.267771715272642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86725785747984 1.23501744037149 4.77052219541495 6.62200482626461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.770906900993439 0.86159974139237 2.24845290208944 1.4498090084904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.42150057525576 1.35424457835809 8.60791480486441 7.64970162318332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.18610489657882 1.24914837336765 5.20959361249235 2.87468606107588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06572233800182 0.885332473775021 2.11227033907882 4.06329731911053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.251709444776325 0.315203405476605 0.226453557177462 0.297085160308607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43479965474902 1.09128244090591 2.99158616897176 5.55895742094907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.428591388450945 0.5057949741546 0.688936102439826 0.580677901038359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.91833693101874 1.24578103432464 5.15543040943514 6.70057317755301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.810079225475436 0.8885778678226 2.49541301775423 1.59850714470141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.85280111606342 1.73859505416181 25.4215681868961 11.6768986586572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.15846996627874 2.1738954913104 17.9637996860007 7.5643986087497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.89489725594254 2.39208983928168 64.8407305407316 20.3088225810139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.65904516094998 3.65474343827965 54.9213457504709 20.2194985530273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.83989780599295 2.79413986681334 1.64797534744249 32.4082794501805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.243349551366291 0.347761923498791 0.207675764613875 0.548816038955526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.80988097016145 2.74847853160545 1.77863248712663 31.498793806412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.243498417780161 0.348218751530688 0.207209507075445 0.529652033039146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.72960880940319 2.63008793147328 2.11782109703787 29.1597867444312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.249461003792177 0.355064805052085 0.214645569063502 0.499257041038519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.55455707280367 2.35112167553413 2.94805230114689 23.8759333488194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.307052835108334 0.383751051697594 0.330785807508481 0.449573876542245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.53391447661089 1.91691870312171 5.79072787399842 16.1265826485707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.750879545844454 0.80151366395748 2.12558153381461 1.27470712061347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.88374482413819 1.85753110016504 9.48949602066915 14.8803162908881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.15376225324675 1.20246495384758 4.84055927480513 2.72594716916972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.60879073450792 2.44625574942511 2.64874178390269 25.6343928211292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.281920208849565 0.37277739939436 0.278111686173877 0.46810549150117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.45696147494072 2.12201134985758 3.84738193448655 19.7485180666755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.439719857046424 0.505098485990117 0.726352409538168 0.629486049917584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.56627931086826 1.90567620383842 6.15847858092673 15.8857089784864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.788690791125127 0.860279277614973 2.3260429532262 1.50831092015281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.06408443935979 2.06019674527908 24.3559922269661 17.4532315744528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.05902508064689 2.11030267927681 15.8312101739903 7.65162421398753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 5.88744355561581 2.56995421308464 59.0547810853401 25.3322733298133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.45465877213149 3.49967070648705 48.2000646442189 19.8148026820028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.117472497088917 0.017872136047274 0.0582435742214007 0.000935068656531657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143385744379715 0.43130914718579 0.0952017982141586 0.107901627314542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.122318756160017 0.044055927782831 0.0655569785169196 0.00519750794930291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14710398457402 0.434608108361845 0.0997395677040722 0.139045236630867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.143208283955071 0.0818609032478723 0.0893902988706578 0.0173031615277622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165901869277338 0.445018121089249 0.118061861644872 0.227361640813772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.215841030930537 0.160004097337987 0.18345905539652 0.0637320953768739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.237593524850556 0.524374115775196 0.20163834162341 0.470037136480026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.719881476676755 0.428062469215258 1.58830393095543 0.512647757596848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.636531391364505 0.820675131067176 1.59208917117071 1.43652502330785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30509827314539 0.619973841396938 4.43176954693001 1.12634800490824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.00825775018219 1.06705270980686 4.12577328473852 2.20700539463251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.188276887303487 0.129736951916642 0.147174673790276 0.0421716925288986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.210303551117785 0.490482988788172 0.167074125455536 0.370517210127417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.345786632425942 0.254801099307322 0.444371067938435 0.161691861988537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.357537475439409 0.623640471168763 0.456862712798972 0.772352099879497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.802927057252386 0.45212799100946 1.93039378934442 0.573519680014434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.687265912658075 0.853045075843428 1.87973555512917 1.52316842531727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.70946603507716 1.06530754612861 16.9370772236512 3.25939977748729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.85070031052379 1.81235212060154 14.0311123048692 4.95068363509576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.46288981294246 1.67379252906385 44.3715355030711 7.81239551603093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 3.06703930249114 3.01196652271395 40.0070530728986 13.0380707385779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814832787855225 0.780385633600001 0.789041465349713 3.23006211393027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116223488628009 0.115998607124402 0.0460093942869748 0.0628401963888534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814428952272975 0.780251744245985 0.788108729471711 3.22922671012444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11747968380663 0.116358967038971 0.0485320246378329 0.0631802740443814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814703024499381 0.780849533835268 0.787920285966809 3.23312623753636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11806404647655 0.116939988030926 0.0494357340341756 0.0642534238093651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814192410360029 0.781318378965208 0.784827369399941 3.2355011373049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.120559107108229 0.118712235292953 0.0537800369274585 0.0672417344599503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814424143678675 0.78305264458502 0.782848844501328 3.23800403062243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127579936077628 0.127214823825059 0.0634962612825063 0.0817028007371682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814948144800939 0.787060400419653 0.776915357714758 3.25510080120842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137663128570217 0.137611476847231 0.0801299073810935 0.0970111928954239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.815097338386524 0.781822449487693 0.787350699485679 3.23817531802646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11837010428188 0.117265141190733 0.0494339714054234 0.0644943850829507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814884127837773 0.781872992339583 0.785499703551096 3.23725012446794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121119334381125 0.119293579552202 0.0539403199066688 0.0673454848736601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.817907624506087 0.78487524880467 0.790101057478494 3.24938117564536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126901897125968 0.126270795638108 0.063476588913171 0.078145023703918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.830178688003123 0.797351692381876 0.80255371829791 3.29051637229379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161470912015059 0.157900340627495 0.111034313427465 0.11934372772501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.840801078974767 0.808329705143928 0.798063481913152 3.31570436907832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.200350154398313 0.198586248283809 0.161241867983244 0.178417732640154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72618376115445 1.62842917387213 3.52971947193451 14.147305275392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.453738701082532 0.453375319437754 0.677728879108775 0.892291413246462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72540284230747 1.62945396908206 3.52325744339469 14.1626906889103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.456499531446472 0.454390363859622 0.691661410178279 0.895334015898474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72651668019429 1.63065803258589 3.52640014544424 14.1791003705777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.457879199515825 0.456025603236869 0.695843132215023 0.902500407731872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72495884808103 1.63011659954657 3.51389888806767 14.1609318767625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.459281331355075 0.460755423164692 0.69817784069672 0.929027471756518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72585859251432 1.63400468160546 3.49690316453033 14.1817385709049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.470321206419737 0.474503930859098 0.749284911453007 1.00544390678041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72765716973781 1.63568812353674 3.4956794547464 14.1795010738536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.483025377868177 0.487110205686381 0.816936938009977 1.04987802212695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72736413118307 1.6289600430996 3.52778184435385 14.1472075816571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.458229578318495 0.458377056805865 0.689614920032844 0.912776082214282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72625013017847 1.62896180204313 3.50983710138636 14.1280749331647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.465058604539889 0.466975286368135 0.724574473536646 0.967104478379236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72484465420894 1.63070052402499 3.49330645855298 14.1269105336287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.478395535049774 0.477819041718519 0.789409053310422 1.0232636351633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7264385766534 1.63502322873112 3.44342751427098 14.0975094470286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.518367038788111 0.517887322183198 0.983702741300854 1.20677699181797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72638627682956 1.64298892018757 3.40016001594344 14.0991540050128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.564590005650928 0.569401225542309 1.1752392170029 1.45442875644285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.812780661959743 0.69082660092193 1.1730945233309 2.9486734260904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12168958404384 0.121558232306335 0.083334962725728 0.0578117249519808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810888469959869 0.690285041485247 1.16844685700606 2.94513747257033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122168822784437 0.122104912620319 0.0839042291485336 0.0583279503595701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.8112139293202 0.690667079253902 1.16605574291716 2.94676608062273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123989544805546 0.125210131495702 0.0862053729453039 0.0640969067642437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.80981241219148 0.689959077229109 1.16388529094519 2.94228684512531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128267440776512 0.128025049387804 0.095652024059212 0.0712391194732672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810260462313953 0.691603418749173 1.17029525310061 2.94327606405504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14022162587107 0.138859143277833 0.115362259211516 0.0891200758415108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.81089505257296 0.694271093335439 1.1642762602689 2.94405905697225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149995494536236 0.147172536201014 0.129287201945182 0.0954516488398907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810022604802139 0.69092307123248 1.16704619104907 2.94752519187193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124849052707768 0.12523616498298 0.0879618179046534 0.0633608093481849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.809683152136976 0.690519673651464 1.15984031520787 2.94183584874269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128322362393877 0.128227094107524 0.091596793641968 0.0671200531396745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.808670380832993 0.693763782768133 1.16992769517496 2.95363849908818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.139902280143318 0.136591378147267 0.116768859634972 0.0811091906864491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.809097110826243 0.703520125194689 1.1584931641713 2.96383952635186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.174269694531717 0.1693018928699 0.161671163504972 0.116904635493002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.812570813650127 0.712166468256401 1.12662244412923 2.97172535410621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.219976708643597 0.213726428103003 0.242698415748114 0.181423480110203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.958894042160138 0.902442128118258 2.08191138123543 5.21187634869237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105213889509566 0.104443236871277 0.0605249967421879 0.0332474052612858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.958408746820663 0.9023557657927 2.07684389139197 5.20583135709134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1074648205658 0.1046507910728 0.0695012889843815 0.0337184387316591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.958008064526015 0.902242654204997 2.07622984187689 5.20457294108001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108346487770851 0.104824252677973 0.0714165762264466 0.0337549095903961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.957638039877307 0.902229843687204 2.06958991305729 5.20132089846095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109641902222154 0.106239609680695 0.0727132759144671 0.0352853589083848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.955641620061982 0.902016144605981 2.04573489476718 5.17095166487867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.118878331165391 0.114891286819711 0.0949513995342976 0.0557827138489558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.953244785580081 0.90278736906031 2.02778500771175 5.15514514209712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12599887174078 0.122468980336153 0.102032044586139 0.066959146378472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.954959991743165 0.901135023441295 2.06143811555003 5.19059906253252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107262576601258 0.106591560193901 0.0636561365685615 0.0375220261425495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.954654214877392 0.900884054111843 2.05261064199003 5.1799179515817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107714667715905 0.108923680217272 0.0628588124504838 0.0471704754248411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.954782434637406 0.902575681611863 2.03167714048894 5.17347145913601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114539819181238 0.114642681009071 0.0740548883345234 0.0552628026611137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.957649921442203 0.907554585377787 1.98239813857108 5.12641120874895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14711867988761 0.145699493274423 0.124614700193912 0.0902655611109228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.959129430441 0.91163288239613 1.89149814980803 5.05824136257602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188144551598025 0.191090135117587 0.179802216578884 0.18218859297148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.999260525371346 0.950217613338383 1.47895625251038 4.98430889118878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.139768586119394 0.138942672132626 0.0510823491219975 0.0543544477264106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.998058408577551 0.950278383229282 1.4773162485451 4.98326907506255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.141548002207031 0.141032523579357 0.0556785123298687 0.0617296653307554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00056906297585 0.951112799575152 1.48526957748947 4.99141162608889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142525037483192 0.141233900398532 0.0594867329520397 0.0619784666157062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00016621689389 0.951124484919355 1.484244085214 4.98886236297913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142272277352414 0.141668199790627 0.0555338237314921 0.0606847324703609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.999309382311118 0.951794856264164 1.47286253563124 4.9788221543797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.150447802468525 0.153068033532615 0.0742252267008507 0.0870534499349575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00548944018903 0.956463748361061 1.47731852167337 4.9951276421114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157247525936954 0.162239872522721 0.0913966844444864 0.10861736184192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0044489410745 0.954868926927523 1.47971505750401 5.01733674820043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144909075961284 0.144979416293411 0.0649658351981313 0.070856830598287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00562435000376 0.955211068181962 1.47496174828759 5.01025773519564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148486995531771 0.151892265859411 0.0716327608942823 0.0877784149698451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00838546853632 0.958584593790791 1.47973744210702 5.02974818620973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152878137343636 0.155794651585186 0.0841545148798136 0.0947556057676434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01301430126407 0.966950203025235 1.463217184647 5.03143121531011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.186215951301409 0.192913555483876 0.161991991439676 0.174112106032662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0211449386543 0.979265524905104 1.44450699687474 5.03579885465972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.235113973882748 0.237701838541202 0.27654486309853 0.270124405302649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04219728734467 0.820718681651442 1.82165710135113 4.56381687841577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.219564165980292 0.219864223050007 0.233247084595575 0.180859534737789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04139969476076 0.820834952069538 1.82041469562556 4.5645728582236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.220388490528933 0.220539986574809 0.235671794909058 0.183718447398179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04053073942207 0.820958545454514 1.81866320267345 4.56520500542281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.220748738835731 0.220881507911597 0.236780341941383 0.185146264306105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03914165432656 0.821173046850152 1.81603449434061 4.56564620668172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.223159439629091 0.223163281552183 0.241168909186721 0.189762145378018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03800903902623 0.824410685002964 1.80317486730478 4.57548822134851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.233187810756788 0.235028230605882 0.262635774961186 0.212356346330748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03938626580944 0.828926651501436 1.81101003112316 4.5914800479737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246263342269433 0.247457634359131 0.295530120231431 0.236643628968439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04157843190693 0.820818200089231 1.81781221789669 4.56210350606879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.22135114621515 0.22195475617051 0.239334136382145 0.184691067537035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03943417919608 0.821551907689819 1.8092711875268 4.56424067635881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.223338736100148 0.22393380930042 0.242506495712853 0.188460109436098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03777029575567 0.82395261934212 1.80031264887692 4.57149058299759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23466722872909 0.236581766490693 0.268070079785094 0.219887570487737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03637414856304 0.838406065020476 1.80462142499927 4.61718213711913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.280074722044537 0.278411184553095 0.36521198534984 0.30271374848706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04494773691232 0.853523852618835 1.8229733594511 4.6713419823707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.323059716502105 0.318937696403165 0.463620896165175 0.382089998355364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.827856893272882 0.789104698224116 0.910708982207125 3.45622044822458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0939972385370347 0.093739797884102 0.0224928916267654 0.0294609738859128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.82759377161049 0.789263339396509 0.910393181896803 3.45736082973118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0944320012815215 0.0937803821667168 0.0235135820652498 0.0294768012370022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.827113703129774 0.789170151318187 0.909062319858916 3.45640464914541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0950366977295496 0.0943034292651372 0.024349183293361 0.0303724240899638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.82837460650238 0.789617529406171 0.910249737121265 3.45660438763613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0966708834354839 0.0957981180597225 0.0267945716088533 0.0326724611824612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.830537115698608 0.791131712760765 0.91638545540784 3.45633524859961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101846405734863 0.105458072947984 0.0346698860820052 0.0512528823873852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.829838555925991 0.794272121981328 0.910149366045715 3.46288867005521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111506605411018 0.11453548095056 0.0511137169164974 0.0649256715123519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.82665916071684 0.789620520668334 0.910033209974573 3.45940554283351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0963025656858236 0.0955488747657008 0.0273546926583391 0.032649204982331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.827216646093179 0.791216257331713 0.908109522298201 3.46796628095489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0999408420648426 0.098141227472874 0.0343567769899583 0.0366791846469728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.82658940160537 0.793432716457182 0.908634578953332 3.47329340242376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104245485213002 0.104838812291982 0.0389535764963787 0.0494114944797754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.835771248134916 0.808271423521287 0.896783163289913 3.51223582396344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143391669452883 0.139795113738823 0.0997479028080086 0.0950327230545688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.851980476430003 0.826455970247511 0.89630477385452 3.57198833763264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.186408825715787 0.183808052029014 0.157891737013785 0.15834665496897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5790690720456 1.37478626417255 3.47127857969968 11.0652460697838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.354955674438559 0.353881456257061 0.575814894181418 0.376102649152309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57703228991199 1.37340967346795 3.46341529140167 11.0455802137688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.356874904243672 0.355478682220717 0.583124007551631 0.382958027384178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57655818771796 1.37305398468865 3.46270289091999 11.0425240571702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.35735958001249 0.356552740314676 0.584692844996787 0.388339097968209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57442344520449 1.37203681729751 3.44211155043761 11.0173628555109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.358549486911292 0.358727526524586 0.586393767932113 0.398905966678248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5664371543312 1.3689580566049 3.42304759295574 10.9758281105811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.366584417209917 0.368311286378001 0.608551412144192 0.436345003410757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56219213180184 1.36711081065705 3.39334348379666 10.9298208574994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.377008553558605 0.376571619837118 0.645263121396489 0.463629882484728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57504353011844 1.37160157506783 3.45487523752977 11.0147328013339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.360516327742737 0.358216718505441 0.594856640216444 0.39326025914085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57340486691321 1.37154521626736 3.4447648412348 11.0127278739258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.36246212243284 0.360986174652505 0.599938689185087 0.407614483818408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56521199404937 1.36708278010386 3.41752798208485 10.9446163924526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.3708447565676 0.367332753229228 0.632127775847102 0.438537730530789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.54696490995321 1.36203961245364 3.30370181270607 10.7882075401302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.399878623900042 0.386620046371215 0.711522342953364 0.496861131638479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53164339028586 1.35973962515092 3.18857556515987 10.6496829452975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.430446336988836 0.421246544293054 0.785169641868282 0.642854278222144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.737278393344944 0.696502240038492 0.686514025942132 2.77339487688403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0826717479168747 0.0834414439371083 0.0227976054246016 0.0321391361145889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.738469523215327 0.696706043417343 0.688846601094645 2.77374520589647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0842934520090616 0.0852484692568857 0.0257328227051193 0.0361857939441013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.738441152743601 0.696844384133832 0.68906327051734 2.77423601978146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0857193018575172 0.0854699988795578 0.0284147381401578 0.0357520276102049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.73982387008354 0.697602580469343 0.689647635619988 2.77641250431181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0878392789157398 0.0869473721185318 0.0321557943947973 0.0369635296217975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.741993595409632 0.702095047769327 0.692119912001852 2.78890355753081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0979601726467369 0.0978789378963904 0.0430288007646924 0.051200451125306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.743850354911324 0.707189048845014 0.694938961396535 2.80427320394755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103926133179722 0.10424259937515 0.0421626958411462 0.0537434352051066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.73770984830083 0.697317425137373 0.687497084589992 2.77617758731002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0846755612558745 0.0854065677235828 0.025579982707295 0.0341790621284598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.738377113813228 0.698657943770983 0.687869161528299 2.77914257666591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0900973830809911 0.0909870595720883 0.0334093233602375 0.0433508825983046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.741976998759163 0.702762961939618 0.700328691841488 2.79082936304778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0963545160599295 0.0976049921426083 0.0369982452489053 0.0484345320119038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.753050148323283 0.721184318895185 0.700693451475112 2.84757829412749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.134087331621618 0.136799235336571 0.0697765472781805 0.0850689565639699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.767591352102747 0.737730474750419 0.696731460019123 2.8988696402861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175139317914359 0.178133029103354 0.111364547085436 0.13079238114347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516312070572476 0.513672252455934 0.357916087827303 1.46158381516833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0440509724000164 0.0441465939168916 0.00436463763399527 0.00975144947899875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516676831316496 0.513963523541243 0.358445641349889 1.4626386617461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0446697287612893 0.0444511444869786 0.005088590437054 0.0101191120018732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.5169762387153 0.514140678947095 0.358417728841672 1.46296925641184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0450435120810946 0.0451853347059907 0.00538482376594718 0.0114623857390135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.517198863665803 0.514516511561137 0.358120681569234 1.4630753463326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0457461924773165 0.0461913943598364 0.00556608486620862 0.0122740824439793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519644362904093 0.51816887862918 0.35645412588335 1.47069288719351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0531620797028238 0.052766792939047 0.00946041060964406 0.0161322411423287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523706586112766 0.522819615214698 0.355847879246389 1.47914294006226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0641162687817679 0.0640400812773869 0.0160526692791219 0.0242209458385818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516675005972221 0.514190718965496 0.35888042369818 1.46312387236459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0460122583069204 0.0452629570053475 0.00682142919474131 0.0109904390535126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.518586331474801 0.515808704741422 0.359075385510363 1.46663608379491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0490170921421139 0.0483358985623722 0.00898855830282551 0.0140320463359996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.522261978478499 0.519554004802878 0.360144882894669 1.47432291955475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0550687800729962 0.0554847391436974 0.0116537213702593 0.0182394021071851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.540993136794457 0.539504034392753 0.366123920350845 1.5198624093599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0935124442086032 0.0933569290240405 0.0353813959193711 0.0432447537236761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.561015667924104 0.558111454188472 0.379272752731717 1.56201396440551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.134211096129565 0.134154342039716 0.0673482113265081 0.0749662534154527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.89335256190626 0.789499834524712 1.1352626418838 3.33320137437872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0849953598205714 0.0845931293993778 0.0290605518419049 0.00835041962397616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.892606397012572 0.789576180764547 1.13422342852075 3.33260389706719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.08648951681863 0.0858986646906511 0.0318859500131962 0.0103736790601958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.892428067481344 0.790276772302853 1.13300230114781 3.33501410469108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0872941514693391 0.0870237745701106 0.0328890006732035 0.0114225962358367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.892859147812838 0.792587613147261 1.1318425299484 3.34314273773851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0915248835865434 0.0913220799325598 0.038338637584254 0.015701355362216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.895677367431891 0.804876870954561 1.13128058244769 3.38477258947386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112598427921187 0.11426180329744 0.0620507512378009 0.0385502437224879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.907283912541637 0.821061354979859 1.1415232450634 3.44273730221238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145171877397285 0.145552993430732 0.105792236479827 0.0696069423250308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.892256608312428 0.79106898983013 1.13464550526601 3.33639725360831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.089623688088495 0.0890341559713284 0.0362726969905178 0.0133953440624833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.892156132639245 0.795203866931585 1.13409824805548 3.34924225733219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.096612919072648 0.0955924691721426 0.0450439560041727 0.0197010994008001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.895279230823896 0.806029778132919 1.13149062865754 3.38531635223418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116700846186202 0.115358773174105 0.0689628332892174 0.03760228685634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.947166005862593 0.859049272439409 1.19926844396924 3.59465844747276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.236291096468755 0.236112798588182 0.253330017142204 0.168439566356051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02353127469206 0.902402570987238 1.36058152508359 3.78182595196627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.370399438005658 0.373082879010686 0.576191696420831 0.39769416554146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87276448927394 1.63372265846897 5.27930209742263 14.5855868065632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.217891443779336 0.218679571711268 0.175988290368377 0.0778698052847495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87388642196829 1.634830314039 5.27842025368362 14.5962108840453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.221805743981311 0.22242261558485 0.195219388202519 0.0973284735798223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8752493498054 1.63646049008815 5.28465603717327 14.6132011653038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.223995882300283 0.225256861133754 0.201950074385654 0.119814706160657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87516181269149 1.63852252609081 5.2947120249587 14.6302555993142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.231278567231552 0.231144565321761 0.232233665929991 0.141990904364074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87152958734539 1.65000995720894 5.23831152885439 14.7057585189165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.258926951089595 0.261109804308521 0.344772774196943 0.273668987824691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86741621827598 1.66667289423927 5.23244615175847 14.8576456455316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.294124328595024 0.292638230537097 0.534342050898298 0.39527124568623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87268391608197 1.63724919397283 5.27039773808952 14.6050481198904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.230811179387354 0.232350920881101 0.233229294176183 0.152977637527342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8703275000954 1.64127722273576 5.26678613862329 14.6362343670516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.2409081385696 0.240101040325814 0.277535579392467 0.172019135765927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86895632113627 1.6524403665872 5.24997426313255 14.728475480457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.265591633355403 0.26560719226531 0.430047003784106 0.266724497451878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87877235623232 1.7058560373689 5.24333665000742 15.1359837127503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.381150947918374 0.38081157436139 0.959124637363681 0.745408089660002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90988272646788 1.76061861859676 5.33666025629161 15.5900643904093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.51705859693859 0.510148280611299 1.58437451123844 1.21611132063389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01361513636384 0.861980082602169 2.07686403601849 4.52960397499354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112120199413902 0.112176113290358 0.0571404589141118 0.0220875363847858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01377410355997 0.862663810358714 2.07421014020806 4.53270447394442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113424588590401 0.113580589622182 0.0600777278961838 0.0252590699823526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0134474935692 0.863541139508408 2.07033555007503 4.53645561473406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114809657198562 0.113703854351594 0.0620946674840627 0.0241849717480521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01306251580636 0.865699234603095 2.06238273197993 4.54494541729577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117811966645778 0.117859001974432 0.0652780761654959 0.029645596139506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01539906127795 0.877550097845786 2.04644154182824 4.58836850766786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.146229996893624 0.146937763949606 0.119534443068205 0.069755595156734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02449404198196 0.891998638117073 2.04968169159039 4.64319508329451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179351999557915 0.179534657310187 0.179063749625963 0.112019278040813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01111419083007 0.863176370054925 2.07110150011973 4.5320691177564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116372845416193 0.116284381457193 0.0659148920942258 0.0277234155648598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01171246360069 0.867962703768659 2.06114002977219 4.55142335093646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124584621391431 0.124717910396846 0.0797132969288908 0.0392311932073482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01750432020405 0.879575829196808 2.06133720706648 4.59853484564181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145607771163696 0.146156254459262 0.109493649926526 0.0630880740613748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06469871209166 0.928580077143442 2.10894070945509 4.81667772753366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.263558710990411 0.265497358721613 0.349070748824286 0.22993189735522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13436309904143 0.97333200486722 2.23669069207005 5.04254258123767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.396192272122801 0.401126573954865 0.728000469963718 0.505053028444372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06003530623156 0.987526070289309 2.68303393356142 6.15115134926206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108167989920713 0.107401164950923 0.0562680849255007 0.0113573032469998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05991764596149 0.987881754096838 2.67905706589595 6.15164631186274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108510460738603 0.10777755245023 0.0565942737875922 0.0118042568907027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05914934465572 0.988236199716863 2.67307114787407 6.15057404639918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108945346735976 0.108885098109749 0.0567806601845891 0.0130704075538904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05895782763198 0.989622839322921 2.66012663775704 6.14484060370698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11111228539344 0.112274320694821 0.0627482895308055 0.0221892109880628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06349646120508 0.996336024968993 2.64235790269006 6.13181597197743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129597955891301 0.129745564624653 0.0916225638916664 0.0418874393909437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07734015461475 1.00674320545173 2.64199629465458 6.15302850309976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157764954688288 0.157909627730612 0.130026876944333 0.0640593369619232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.057879349918 0.98785149460057 2.66424964694062 6.13821278790395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109904340295119 0.110783547194057 0.0581948428910383 0.0205433298007825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05779867313388 0.989713515383135 2.65100677196522 6.13002505119517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11410011058827 0.114980772060939 0.0623005901504768 0.0252010934260739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06580829683993 0.998496069623404 2.64690887533839 6.15981767614208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129809125783345 0.13216895661521 0.081805016536586 0.0445232013540654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11449990124298 1.0172230219759 2.65881430687218 6.11614043952513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.234537476617112 0.240496408349639 0.243975988703239 0.157720578357232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1993277905173 1.02648962458321 2.77186555481392 6.02602773683349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.364018660385222 0.373781940140414 0.546055878821266 0.387169992632305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12034126201911 1.00153428938456 2.08609266005028 5.61575497334069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126064834754877 0.125889431976787 0.0607801002428416 0.0156040838733085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11988021722311 1.00170224822162 2.08346833383244 5.61647881148665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127131330998161 0.126973312218668 0.0632085173453174 0.0183857091012702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11927279654673 1.00210001861686 2.07901798867901 5.61666612282558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128218470712317 0.128687494901143 0.0657231273744217 0.0215689661414065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11719396000362 1.00218066675379 2.07051291898908 5.60792230719231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131651353252447 0.132346722998311 0.0733622800714895 0.0301081586600122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11886231866403 1.01098229645239 2.07238427280992 5.63725443483316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149096837226535 0.149892220249336 0.110333272715105 0.0591430873235565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12356293162278 1.02188433914646 2.07093645318546 5.66705163087134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.17200258446656 0.175478129395879 0.145324847130567 0.0960538563154548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11913978468456 1.00288522867567 2.07633915738394 5.61571375102315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12987891029365 0.13039879852857 0.0691966180357098 0.0255309456547391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11882283792102 1.00483329983506 2.07042846380805 5.61690388985799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135239093765195 0.136555509141068 0.0803314466798516 0.0364150559008502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12168820116817 1.01300617714434 2.07496395829736 5.6502224174185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152056161810715 0.152667911139766 0.116656074169095 0.0621669220022467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16870014771879 1.05720279994225 2.13059421384763 5.80585696783387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.261365729816243 0.260331486887124 0.323914668682529 0.207224266786624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.23723908747957 1.09729580589406 2.29244457820107 5.94218954485675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.395535962331573 0.392018057444705 0.69315004978852 0.451228962636091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07889096911015 0.916566805394639 2.66253616177013 5.50987037431327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10590542028167 0.105225476243656 0.0578110617593162 0.0180969408512615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08101049145705 0.916942300746095 2.67584639301846 5.51136719418841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108665022640074 0.108420018119784 0.067759828728167 0.0272686894794635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08051975071559 0.917799881282652 2.67385427756884 5.51485224833274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1113105711579 0.109814301731244 0.0751911814568893 0.0275647178362733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08162926715451 0.920786747225022 2.67264214992743 5.52744061500197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119424082106803 0.116891470864325 0.0972572493841328 0.0431613041200626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09017937592418 0.937529515853328 2.70124047867514 5.59804039318103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.147462972317274 0.145428474719612 0.141341292240658 0.074335169122991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10209976933741 0.954310157590505 2.70860822736551 5.67025857680489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.181473708111189 0.178929793542636 0.202474049151951 0.12515789724463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07936859242721 0.919600716013402 2.67114765716752 5.52189090414979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116972851091581 0.113800470915933 0.0907353463134999 0.0329033467697117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08106845955655 0.92560514816743 2.66912979164035 5.54620435954126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126769448745665 0.122861763462303 0.108162090213288 0.0453960742398142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08688880742798 0.939739560005637 2.66623305477646 5.60756440394546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154360874903244 0.15199869930316 0.158454260110931 0.0904098614197253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14192512132212 0.992866024598387 2.7174958963495 5.84626248276924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.273297130725839 0.270553510372993 0.382445230364941 0.25013446997285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21891834242084 1.04032594030758 2.82289113375017 6.08885599737762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.403722759535166 0.40528888232591 0.742144105631126 0.505896740529195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.902282381884222 0.798501859557773 1.26163695420765 3.51557423125188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0876702212686382 0.0877494827014507 0.0297350651719972 0.00824894021540495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.902711515029258 0.799043658964526 1.26208837530244 3.51765366546786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0890512565565676 0.0888383155224952 0.0330059533684367 0.0103959018257805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.903159153187741 0.800107364773859 1.2603866778942 3.52197479235676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0910272802592138 0.0912525645519514 0.037168043855179 0.0157068229875502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.90349291031759 0.801896319729385 1.26073910194518 3.52776563110186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0952298930059122 0.0935209612126457 0.0452500857122757 0.0179636961373377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.907529442792342 0.814777320376174 1.26295315832698 3.5720488231598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11705046849958 0.114826562253861 0.0766055393715159 0.0403295093066861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.91815406399757 0.830664155686778 1.27525959215216 3.62583819595734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14877974256378 0.145500763714757 0.118907954470388 0.0676602896539447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.904507016058463 0.801552990665962 1.26710656424222 3.5283034485139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0921861907866094 0.0929055248444519 0.0380916837499857 0.0182149201587362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.904082081562504 0.804978128545499 1.26793815500212 3.53828108981299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100240433492406 0.0999740352451451 0.0519051862452847 0.0266285634113654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.909726007928099 0.817072356499408 1.27907860121371 3.5803337209633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121777907561155 0.119987848387707 0.0814114357436165 0.0450197016039325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.962512294151667 0.871106353067582 1.35185237123625 3.78237842842177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.236431786602092 0.234711986024088 0.253157790783027 0.16226522506088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03496903327422 0.918689158625954 1.49885145605969 3.97655798402753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.366522783550752 0.36790672765467 0.559607010515139 0.376299022646014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49054972953745 1.37290806112434 5.16142432476377 12.0706635270051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15293795111396 0.152618025249282 0.107037329802249 0.0327758022119264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48863071985662 1.37154596625846 5.14575645189072 12.0454613015261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154253563537993 0.154028002515503 0.111214662003282 0.0387431413464957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48731264931324 1.3709927867212 5.13674951726891 12.03644643322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.155267419890059 0.155163734972866 0.11534128862258 0.0438377398360513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48627475477718 1.37061549596559 5.12112439346689 12.0192831877611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157646914027451 0.158775686568223 0.121539649897408 0.0595008261073849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48604881639992 1.3754433087203 5.07542726464827 12.0070657681809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.176290095622626 0.176457508102708 0.1682117512343 0.0858394519711467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4914633648688 1.38165578123031 5.03988245291037 11.9928527367179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201576889628143 0.202633007943584 0.213023427844797 0.126938781018613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48867992737525 1.37162411478926 5.13396360755666 12.0415932412948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.155930011074896 0.156901567259242 0.116553461269814 0.0505148510593342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48746769077201 1.37211108673819 5.11670282471311 12.0288933398526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161517019042569 0.162143368324107 0.131344813842432 0.0623550461086599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48916290714002 1.37671579231608 5.0769357677398 12.0086026991288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179210734443786 0.178514321808909 0.176746364914727 0.0912904806890975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53011402407443 1.39707759325859 4.99872651138409 11.985142291026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.278784083965587 0.276814350076136 0.363478081665586 0.227352418922601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59046251462817 1.40796986718519 4.97771882922129 11.8328228000897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.407049172816292 0.403106868528873 0.705829009376109 0.481242280582993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.803371608897073 0.712467666812985 1.02863874774267 2.86885767376347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0574280122457474 0.0578451587363608 0.0153004890445795 0.00407756688863533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.80359150933866 0.712982347500979 1.02928309234425 2.87029615248861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0584184831176415 0.0588582973222489 0.0165986152226155 0.00482137128560979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.803943547709466 0.714313817178474 1.02943593370503 2.87434043825621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0604484713394958 0.0612430985355708 0.0187108240159755 0.00721167813602288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.804148336133403 0.717855944686727 1.0298984477123 2.88453072229276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0665684328439633 0.0670532452360692 0.0239475191927594 0.0113712175570886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.809676417116427 0.73529011754201 1.03395584345098 2.93859439330386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0943421182437627 0.0943746560362384 0.045775088823653 0.0282558713991837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.823973090571184 0.753292633390763 1.04679117767349 2.99873244171049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127917842859055 0.126544461769234 0.0769403362943502 0.0472682141939672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.803597310454289 0.716384794395173 1.02847985359652 2.88047215101804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0649030530705758 0.0652210056423088 0.0236328508721186 0.0115417064691217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.804936689808648 0.72340576966044 1.02835288871222 2.90185832207181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0745734899453862 0.0740577715522409 0.0307951189460555 0.0148254110694434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813162676276395 0.738102983907571 1.03920518696063 2.94833956646132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0975467147047348 0.0978364134853429 0.0495809690794491 0.0279576520008345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.873441571366738 0.79550390404412 1.09978945313769 3.16237368230627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.215991921170218 0.219623655995287 0.192193178101825 0.135110828801401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.955085132638341 0.845579166771358 1.2360559363671 3.38288150425553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.344971067094781 0.349682089947585 0.463939836633582 0.322766267155222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.575654553819959 0.530816906070885 0.508492441745507 1.54799142524879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0433387664233288 0.0433532781041218 0.00689610747066491 0.00204762693297915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.575782462010011 0.531186200615275 0.508809299985142 1.54890382323821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.043876396165537 0.0438406858858175 0.00762676220475455 0.00243946661867215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.576011395051001 0.531884173381463 0.508934676003459 1.55052276843632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0450415945258484 0.0450499191233515 0.00858927052939806 0.00369007960095284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.576851935197405 0.534268457649634 0.509879143973991 1.55587957264434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0486494255025125 0.0486652568571273 0.0116649052397213 0.00647687697494542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.588832527384553 0.550333004691441 0.517197906500643 1.59435091026103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.074103134779412 0.0751847609620182 0.0257280941452763 0.0183928613230523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.608138218882749 0.567421966852499 0.534161975933383 1.63646983911793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109415774525423 0.110212837122103 0.0510099228106909 0.0350436552032003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.576753689394948 0.533535915770607 0.509433354326359 1.55536555265123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0470100416248997 0.0470502561000542 0.0104337333027834 0.0053310362486954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.579682330687857 0.538565267960167 0.511777069664089 1.56662607832236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0543437900953463 0.0550322982895036 0.0145370330648976 0.00901795221319572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.591320323060993 0.551648777707649 0.52017666539572 1.59682568957751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0780086876608497 0.0790268873242808 0.0278466185726681 0.0189894981898087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.666980354752255 0.603835023920449 0.616192198049031 1.7247561546238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.200154582021508 0.201789600866918 0.153785567325436 0.10442914379387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.766680081630943 0.647287494584472 0.822159734377949 1.84640351239223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.329029218752871 0.330782185439799 0.418084929924317 0.267719233283068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.76307865854414 0.639967263936755 0.947892031175303 2.25537408339559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.140417851821095 0.122850401906189 0.0982368054201091 0.0380874036080812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.764340017016673 0.643935387743943 0.950491487192895 2.26927635307321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144024228093536 0.126418783402197 0.104971735980245 0.0396584061679237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.767181661178108 0.6518932269306 0.955668846488229 2.29394566669966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149527243150692 0.132471756175954 0.110574489456911 0.0416742217497022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.777012320920206 0.670070952622859 0.969274425132197 2.34914856548615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165536798362716 0.151669394058959 0.127483252648632 0.0493997918603946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.872200433476073 0.747271643596488 1.14494790465003 2.6395874572158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.281247142563308 0.270224200588809 0.303212128454998 0.147890967951315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01510446514914 0.820229190783527 1.52189009489369 2.98989124721607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.426636128828269 0.424176403551934 0.664715191061317 0.380488338372441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.770776993025671 0.661311461905066 0.959938213633786 2.31861841458126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157331880849629 0.142992170276284 0.117598797966158 0.0450487105843511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.797587327779459 0.692154782678349 1.00324429382761 2.42134084104244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195622603239499 0.184502242691139 0.161796294096305 0.0687611225775139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.890531029495229 0.7542453087846 1.18735182946795 2.67200480766316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.299027752918647 0.291797668569304 0.343649511878484 0.173846649328985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.46396947693261 0.966728367878293 3.36729252594832 3.88758303073523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.820084900828548 0.815340586864632 2.65816258461334 1.41141783289367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.11693188413363 1.15190815529872 7.69637747035728 5.22531972342146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.4019470612385 1.38601220738763 8.37906956595117 3.94194945302311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60999599817986 1.38053137750096 5.88998549011736 11.964451403801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.280597825545874 0.235227402288737 0.373808643958838 0.11745743638047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60971492737695 1.38241961281707 5.88118110535497 11.9640516945866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.283777353549495 0.239239110370158 0.384415441842018 0.128529341576216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61491314658911 1.3894846424067 5.90635041149359 12.0251257333556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.288058379728966 0.246480540494226 0.394909177520802 0.157486679466811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62688210726837 1.40734377578419 5.95766612642433 12.181070567161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.302545961137966 0.265673972954335 0.430034954413107 0.189816579702423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.67837783272798 1.47452663305354 6.08595394779654 12.5784920045836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.391855469343081 0.374274091728254 0.650622360568056 0.40502848825617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.76938113270636 1.54022987643479 6.40587381256925 12.9548243857613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.516917939668713 0.512946465294156 1.059254049426 0.732220169550153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61815801830432 1.39904272513384 5.90516555588675 12.097905947691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.296813346541636 0.254703767167775 0.411456235637114 0.149266158615176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.63690561587332 1.42858280018969 5.95375871228269 12.3044924351262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.326721287298734 0.291261223987813 0.486578046582085 0.208335953723935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.68791814236135 1.48417783977186 6.09333055439678 12.6187179961773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.408156574764694 0.38773739003838 0.705505550584669 0.419568384207708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.10201941253021 1.6960904649322 8.00372628802078 14.0912456705964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.876022642962764 0.904968016804563 2.9318572929036 2.12382985644876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.63101305858914 1.86176224750196 11.8746747660944 15.4554399218556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.41659230835035 1.49224545017304 7.93351630267489 5.59173686441087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.834529557114719 0.733867771074714 1.18238738234022 3.02563729492071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129719678019537 0.121957971074136 0.0971201104759245 0.0333515767985013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.834926947828641 0.737127879128937 1.18002966414208 3.03692392000017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135272918042823 0.126615571105045 0.103027881581958 0.0363550361597112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.838356045819017 0.741758163322216 1.18372891284084 3.05050345921159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148006951192866 0.136227313725943 0.118241448284753 0.0399952838394535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.85074553396656 0.75025899404285 1.20323835728993 3.0745199310292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177356150810701 0.163216175244377 0.154662362331576 0.0531984587015655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.954637114261747 0.784934841660122 1.39737980243603 3.2036727186352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.310515524486761 0.30066033821159 0.381567499184534 0.172151506659964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10695337767168 0.82563762593671 1.80332483020249 3.3969871526949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.463360902916589 0.451773579408786 0.819085042571936 0.381868163432632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.844484561214429 0.746126523423568 1.19347639295287 3.05961754765591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165442907306493 0.151584271184193 0.138382398073782 0.0475056902815552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.877282027272958 0.761384097728827 1.24343593765144 3.11117456565162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.21751849324955 0.202702425169271 0.211049562472101 0.0779958112428609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.975860817827235 0.791069747071326 1.44521090004598 3.22916596733843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.329539027140702 0.321624135824165 0.421857230472701 0.189723385714598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55213298284299 0.944798981974087 3.73941277649731 4.00818445256351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.876547967978741 0.874105632292715 3.1265453784018 1.42567383351755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.19995169882864 1.12362692017917 8.34263329472094 5.08380282777917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.50142648591029 1.49402722309897 9.86784451694727 4.15555460917969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.531097955114347 0.489770691975577 0.285168723605188 1.17368255268479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100732830241466 0.0895617729436559 0.0506078284652681 0.0260730124435071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.532556903106509 0.492592870177157 0.286227320619071 1.17864961485634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106214033901956 0.0945779765001033 0.0554501779865932 0.0289805996739156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.536521844537101 0.49707217224311 0.29042376863515 1.1857337782317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119796288976899 0.106130630613763 0.0679251506215986 0.0341704239847658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.553926929100149 0.506206679369803 0.310245012160347 1.20359699859832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158484488775906 0.141373504052826 0.109871982390509 0.0527952514219365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.675929558087714 0.506930596078596 0.544587790193934 1.14618830208449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303503958400567 0.288296485658266 0.355042207140638 0.159415016067156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.856540294964613 0.522933487554803 1.01954685233604 1.17123340608812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.449776359511821 0.439166111271183 0.76698825993226 0.348792246418763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.545569432435329 0.501318747404011 0.300527902640905 1.18874950167275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.141550582010791 0.127906883806135 0.0904739819773658 0.0455672036109216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.581910416081128 0.507931148570163 0.352480123749189 1.1849282390553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201880807812141 0.186513011779637 0.167850727288522 0.079640282550965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.698423939686348 0.506720438010901 0.593549678199889 1.13672313965246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.318725178056432 0.308005303809086 0.38644159377632 0.182543524382256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35252184364813 0.638503533505676 3.1034515483049 1.58769634341998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.860244312843697 0.849912066722092 3.06955396920394 1.30274391936645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.04171240594779 0.861383494823789 7.92190863986677 2.63130174316259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.48231996835049 1.45987908388853 9.76946254236984 3.77511017396315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14852344265534 0.993787656036294 1.92200184480866 5.34667683903406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.183475679062072 0.185167489728789 0.151598535952704 0.0599920149449725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14893889557174 0.99601462930775 1.92266831563159 5.35714142517616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.185631434287241 0.187747324096136 0.157680473913841 0.0642187116151336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15134242361348 1.00148651921272 1.92838133041826 5.39042710051829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.190159159419394 0.192743829191019 0.16604228453791 0.0719132610820469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15582711059324 1.01080149084658 1.94167809022374 5.42316893129152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.20581473599971 0.206293852247583 0.192474080268666 0.0849768622556028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.22436962312246 1.06679609746518 2.12100894940589 5.68348450365336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.312699040405459 0.313700867568446 0.385911118114254 0.208887767237868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33437844249157 1.12063486496508 2.49238895271412 5.95326354004093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.456350766516426 0.455378920144232 0.789857743260478 0.441897554991221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15633594086104 1.00887424230354 1.93882211086005 5.42314544995465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.19948911956589 0.199506758095252 0.181271820017928 0.0794018104903992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17553182901734 1.03051330714259 1.98977156839714 5.52361914380657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.233992145670071 0.23175726410158 0.237291410625749 0.10954111824626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.23868602443855 1.07258002016605 2.17300059340248 5.709233318765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.332075359243055 0.33175577703833 0.433506780906746 0.233722285296425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.68861884417761 1.25570862418951 4.17544952873555 6.87611023419029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.851922115748303 0.843046428498467 2.92793494761057 1.52964676352365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.25593214919684 1.41982957431937 8.23375367359657 8.19619607440642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.45176093185477 1.41865306513857 9.1284351133237 4.24877024366982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04855995450899 0.891974045971986 2.72480371033025 5.26512068424939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.192044146327537 0.187814142089554 0.208170810078973 0.0627569438135803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0504241733337 0.895684437649299 2.72481243331115 5.27911432251514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.197280816231939 0.191478926237045 0.216924539993037 0.0693997681272493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05544760942253 0.902726558417898 2.72921562564242 5.30639441549157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.205528072518356 0.199629276464486 0.22801324176032 0.0743823978491055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07165575760541 0.919398470651459 2.74282479589904 5.37665999894342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.227336372683384 0.222778627840092 0.261993254144373 0.0916313845023899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17821668537585 0.986052075829914 2.90190363328226 5.69816252868869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.336560613477084 0.33782229168799 0.480989158661539 0.219677566417484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.31939767255441 1.04928679846649 3.24011692237588 6.05567047077375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.470675058213056 0.470605782918268 0.878009469201854 0.419987193298961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06587615909981 0.913299356149011 2.73385024582748 5.34883283124315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.21781233383961 0.214864805639355 0.245698657965212 0.0827148722159779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10283795037509 0.940941760628811 2.77225888801578 5.47023740725524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.260105519923713 0.258168870503498 0.32231550282625 0.119531096095058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20130801027841 0.993747221714284 2.94727275144808 5.73491275414554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.353324041324883 0.353924914330362 0.523189679448255 0.230800065865998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.71495559080697 1.19536129585128 4.85807767125404 7.00218513534943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.856170178863655 0.851288157046426 2.96300655656198 1.41516852234964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.28871274717071 1.3878881241993 8.84654228667434 8.43489338121195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.43516499197735 1.41581167881999 8.82667959830756 3.9207558247056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.804809726918708 0.677294687404549 1.01632575998311 2.51105413052132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144342035253253 0.130835108820068 0.101290656981249 0.0385257849171045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.804502767311622 0.678225204915539 1.01686356962882 2.51178332216963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.146797620573973 0.133865741867174 0.105960204034943 0.0418511478345046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.806603781279719 0.682969868520136 1.02334950190767 2.52660236151567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.151428641660608 0.138450692410104 0.112438852066698 0.0461807825356368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.816198653238162 0.698139705315784 1.0397071339578 2.57870590347442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.169549606722125 0.158003600915463 0.136625072769226 0.0593824984171107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.905694048798136 0.773751577723369 1.21219704255339 2.87852962301402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.28859163549402 0.276034536253185 0.32171797629266 0.158924399313096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04667001865804 0.854996335191192 1.58213452467253 3.29479148470266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.434069532892764 0.419580510480643 0.69514530378429 0.365340645314269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810846363054824 0.692364339120139 1.02931131147727 2.5567280689332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161500771891468 0.149184439364922 0.122502852230855 0.0515412645200571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.83690935450408 0.721399278071742 1.07887461273025 2.65999760323989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.198412277716542 0.188691593886242 0.168738212265495 0.0772491015505395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.921356237042024 0.783687804864299 1.25284435811988 2.91926196127359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303702771923117 0.29686354838246 0.350655493760388 0.18310547756173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.47681036849629 1.02883017278837 3.35410678930159 4.39523160264735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.815484315085466 0.816072937391528 2.61792366271948 1.37610971234023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.12503343397347 1.2254844144695 7.58621787052997 5.91240073703488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.3890819050183 1.39225316319222 8.23019747423323 3.93919127156373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18982084132465 1.05873585022032 5.57791979343806 9.12145555369356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179876108349224 0.163025174733118 0.154137354036595 0.0602497402446613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18945771111072 1.05871688737778 5.55885873599978 9.10488426011604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184204477764246 0.168750096750982 0.160693340017401 0.0805225494598528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19177739686786 1.06150953688885 5.54751300926456 9.09346500237406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195552844198722 0.179798317377589 0.180186317309045 0.0866400800891568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20681563902603 1.07639652379737 5.56358777195732 9.16121220957401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.223612047436952 0.211058797486092 0.224698943505678 0.113325669387995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33995216685998 1.15797836738469 5.74192804554721 9.60190620430698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.335424226547543 0.331443630671805 0.451242812219764 0.234759619185864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49233445461242 1.22136451141803 6.08870715820735 9.91097607914016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.469770767971084 0.461263202752099 0.832101010475579 0.455726646618943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20020738801026 1.07006590150988 5.53126516384019 9.09917747225919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.213114521122103 0.196983675422844 0.20980285274124 0.0858678230630695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.24380035431821 1.10226846799659 5.60063806028585 9.28754948250548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259364126341417 0.24825705495549 0.291106024762792 0.135431263711328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36407028578771 1.16689584201934 5.77861040037183 9.63439329986506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.355611247149107 0.347396537370759 0.50356679514157 0.242308565849848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.91457877341613 1.36093608326141 7.8860652423137 10.836190668142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.849275295354024 0.841358595296701 2.75832049288457 1.52250692507204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.51603974867802 1.53986417700266 12.1205244329319 12.1771396869615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.41287731226818 1.41234770381443 8.09797376294057 4.29450836283927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.527022452751631 0.422500841426255 0.778065088602885 1.28326755523333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119169862434432 0.0952514187730951 0.0718018245406769 0.0286238221412051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.528383724920391 0.429447611634977 0.778327147584033 1.29642544734106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123174404051996 0.102159592786473 0.0758930039664465 0.0312758306266306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.531685549929224 0.4405346581243 0.78244510263708 1.31693160721647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13109327858629 0.113976230076566 0.0848167052410123 0.0361659832899196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.544832122664354 0.464391499509612 0.797644942508364 1.36552132213745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149458117212333 0.140349428406491 0.103490150316411 0.0473539440543548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.656469033028619 0.561218535104382 0.950863988887218 1.61716879664313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.26970765865338 0.264974419651533 0.274308615686426 0.152492039248376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.806167001599833 0.652297876561773 1.27942318301112 1.92191374768606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.411609688238559 0.408215360732626 0.604368347922454 0.356672110592717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.538983999983048 0.456333877305584 0.791710127353284 1.34834804282697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.141252330918758 0.130252539723875 0.094467543149063 0.0409934250565279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.572365189308282 0.497111264550479 0.829275726562045 1.44117466586538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.183412792151799 0.178642548450069 0.14361933717065 0.0693077338311611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.673660265985857 0.576281345456535 0.983193758075116 1.66371134343133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.288217065451539 0.287094178577244 0.310079111667812 0.177006597227193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26326058289988 0.840625798760318 3.04223132033906 2.80659173751527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.781437881651804 0.786304024555223 2.26910770117526 1.3050832625936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95113446427791 1.04015341911237 7.45013211637511 3.99682769364463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.32104316521431 1.31897932482425 6.99235206719939 3.52406105553282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.501762688471041 0.442624568570776 0.409638674854083 1.0875766277088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0738655751740727 0.0591245982322972 0.0282755054368894 0.0078433015593088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.503693746095424 0.446122798213679 0.41125062941352 1.09585198151414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0767654239516936 0.0624118686858167 0.0303754824174299 0.00920613268822145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.507490199721327 0.452614049738149 0.414719943736965 1.10869043904581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0835968751660844 0.0705973800375752 0.0336348259407716 0.0106755617345799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523174088581732 0.470401672807192 0.429186531741819 1.14870002754869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107541336199302 0.0970981536696495 0.0481808981614713 0.0188132700057145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.646112858854431 0.549706336109463 0.606394644066337 1.37863181131089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238316470998961 0.234939219017836 0.192369974596843 0.111678989848096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.816841894608693 0.626101350829217 0.990723432169266 1.66938811363585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.384877918022991 0.383684098109339 0.510884026213753 0.292032664170385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516493046528578 0.463189174644657 0.423596869653709 1.13165980874449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0980054053145683 0.0868663111036595 0.0420528675290978 0.016427482254124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.553995306651598 0.494158078917808 0.465448353714893 1.20856975245967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145218505159099 0.137754651883484 0.0777355617293663 0.0394010191831511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667319104275033 0.560691279470832 0.65013656821465 1.41799150317584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.257411425865199 0.253224305608197 0.229592074098438 0.135872378813269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28680901993292 0.769517802237348 2.75729193400518 2.33589466417105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.755606439874354 0.757231723494852 2.19835687000937 1.11804155107944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95913154624244 0.957703364553184 7.02994383251512 3.39321778432609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.29646079802426 1.29363624825078 7.02031128274129 3.09488302448484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.820465960636765 0.77932133748868 0.796459713116171 3.22826155904433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112947385379537 0.111082915717703 0.041396725343325 0.0585580020266306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819774768988177 0.778701590167924 0.796145959616935 3.22401475359114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113057118803112 0.111000413704371 0.0414326657242833 0.0585350781443878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819206521266996 0.778207929134214 0.796199036957481 3.22089467618595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113119119772299 0.110954831692566 0.0414547872119663 0.0585411724353946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.818328500909463 0.777576736458321 0.796134387876605 3.21662938510146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113367059833845 0.111049353546766 0.0415206072963088 0.0586369118177038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.81569989419156 0.775797033352112 0.795479009473631 3.20189262236753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115493912064986 0.11194381229668 0.0423017090374267 0.0594153479572577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.81393646856806 0.775786007845202 0.79506510549171 3.19494900307752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.118760622025377 0.114619788613579 0.0436920582773627 0.0611448108276883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819079429098849 0.77837767413053 0.796521792719143 3.22111477694741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11299240886936 0.111372116120225 0.0414428420829376 0.0585752537588607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814980031413611 0.774816358041682 0.797060396504766 3.19681573748784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11338032391788 0.111974373318688 0.0416322624543413 0.0587280597082207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.816392592496695 0.777250996453554 0.797370138998783 3.2070676519565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116228710117651 0.113995874669783 0.047330329540544 0.059603690559463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.823190138204499 0.786390670019379 0.796972227639125 3.23473159879189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131507817207983 0.131892254160363 0.0545388560034299 0.0694443685223431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.836249101648188 0.799018868938029 0.792880882108922 3.27914363424286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156472052150547 0.157027623408011 0.0693896985719163 0.0873099678721184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.807958475222051 0.651952814477014 1.1706754645346 2.69108997927213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193163438062017 0.134362748175609 0.303426411834075 0.086192853701586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.808032596056225 0.651904379322105 1.17096275225597 2.6908363935987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193180751156016 0.134371865757914 0.303542248505229 0.0861432040792247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.808102063158858 0.651892206366844 1.17117274589148 2.69069555936062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193311798815379 0.13439847873187 0.303689294189044 0.0861708353945612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.809077791360294 0.652831186393981 1.17099737961787 2.6950157597916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193577638631786 0.13424890316707 0.304004676335004 0.0861781150393469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.811849411305781 0.655483104961665 1.17271738620068 2.70285904694224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.196413972621131 0.13706779445044 0.306592050474438 0.0868900920956238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.816367501148734 0.661383138464227 1.17249776143736 2.72384136951516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201174371024929 0.142533385627441 0.310858400707657 0.0886676572077995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.808226432487311 0.652772989819417 1.17032758534151 2.69446714422985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.192988752458679 0.135050108372042 0.302958026035948 0.0866809096205473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.808900257603144 0.653797959234355 1.16945557171862 2.69745309420655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193213202236133 0.136864878080275 0.302655282808399 0.0874643762470415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.807164232000786 0.654849541192375 1.16938343314822 2.69875838454434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194659376248542 0.139455863632987 0.30309273559142 0.0884484770158712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813633073003809 0.669332510467899 1.1614922053418 2.74062708900106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.20877132109577 0.161686181338246 0.312101424299066 0.101044964242797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.824671318561402 0.684177441402172 1.14976732994512 2.78472859997524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.230822973938848 0.189077353726937 0.332495325171891 0.120343230114543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793132265042199 0.747185841699342 0.843985093583896 3.14258800238427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0948824724137198 0.0916146183937847 0.0241001553223265 0.0280035300034193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793720359710357 0.747924613009559 0.843942542578027 3.14694406411925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0947732005440899 0.09170091935226 0.0240212593812172 0.0280094100973251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793722385095328 0.748097542414621 0.843902241562673 3.14756174215977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0947163413119042 0.0917133146254863 0.0240552664932316 0.0280206981635819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793677424658775 0.748498769602483 0.843906878964174 3.1488625975851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0947982486810967 0.0918870188193217 0.0240892596795454 0.0281031115685822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.795771405610763 0.753186431105083 0.843871883690385 3.17035275113962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0963461503575483 0.0938386123783381 0.0245974735478243 0.0289991766025042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.797252146953965 0.757576944938869 0.843466413780175 3.18708521670933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0995449378135362 0.0977963298528558 0.0259284358679473 0.0309516400036726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793987123430173 0.74824324112193 0.84389431072979 3.1485195433583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0947618933763698 0.0920451182322425 0.0240356574570313 0.0282419165834799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.79411080846231 0.748703939610948 0.84379781057986 3.14969913266477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0950613652200435 0.0930836059893079 0.0242123718848244 0.0286534977061583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.794374650344893 0.750349128443086 0.84359217629749 3.15457612615984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0964213328573937 0.0957978079600867 0.0248701664590258 0.0299106337465153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.800504962958302 0.761372656554895 0.841593898048185 3.18536502941345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113998379337991 0.115460946908177 0.0330777661475283 0.0398926194307865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.817607297675187 0.780470517868582 0.832193704723597 3.25646120636266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.140087990517483 0.143014877290664 0.0486264868518088 0.0574512516930107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.423583158541858 0.389024691711672 0.246619266393835 0.808317465324779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0338780051706819 0.035396459069676 0.00419952146750635 0.00161535919647912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.423580089652264 0.38902900993975 0.246578210735932 0.808248603167751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0341028786810842 0.0354413627615212 0.00425053745570395 0.00163181474299422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.423382749690273 0.388830274106789 0.246666530744095 0.807590653170146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0341274540579077 0.0356062138148329 0.00426554037179515 0.00164808328518732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.424253905799312 0.389769319467845 0.246432517730994 0.8100405372559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0343654815636233 0.0358113282926228 0.00433400550709523 0.00172743176816441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.423560229899897 0.390069945259506 0.247102085170502 0.807319286254314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.037832623696487 0.0392881559753291 0.00513383057683243 0.00220915346772077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.424655916864403 0.39155122955507 0.248970749047659 0.806054933004838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0440571349429283 0.0452936992861344 0.00664952812079417 0.00311643958737576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.424077897130063 0.389936469476963 0.246572534334802 0.810696554868539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0345759962354152 0.0355976603863218 0.00432279615808908 0.00163895244105182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.424707616126578 0.391112189763917 0.246469891271232 0.813343810653553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0352818768934815 0.0369042459998005 0.0044969298822636 0.00186401663133642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.423381782922394 0.390766205497999 0.24726956865571 0.808850626307584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0385483314609329 0.0405403736795686 0.00519030115086295 0.0024203384701832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.435155407381727 0.399583321637613 0.256192379164252 0.818121074756134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0663949588876669 0.0686197008533031 0.014238543799107 0.00872735718320205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.457697496134814 0.410595919170718 0.275390756530174 0.834324272224998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.099966561061416 0.101979155039547 0.0312298834627828 0.0204290430339192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810498872683674 0.785467875606301 1.27133501549919 3.6460372112515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0704642054892068 0.0689697310419971 0.0226620238556154 0.00617247673645598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.812293547285646 0.787049711466743 1.27197099011809 3.65658914850044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0705009779757493 0.0689218589569299 0.0226556033132679 0.00619822656708198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813086974887867 0.788284524214639 1.27179992163406 3.66418498990662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0705164315622648 0.0691307906706232 0.022655893027008 0.00623860806007055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.816317870262805 0.791202873570871 1.27624684503135 3.68563801435898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.07108721707166 0.0694878490436996 0.0228454214539293 0.00632460765287577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.815735002513028 0.789904936778024 1.27710028968438 3.6695093010829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0732486354351491 0.0716967280425447 0.023614969178785 0.00706098696065925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813705905016417 0.786004678060263 1.27243833620693 3.62733311240431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0781752043592729 0.0763327448895102 0.0256852695111896 0.00828028083192316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810307152759651 0.78495362313155 1.2740310999327 3.644632711218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0707217783118539 0.0690752083298809 0.0229007845350146 0.00607057429594733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.812564624614179 0.787204736983138 1.276141620306 3.6594880547863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0712466396406443 0.0694036428889497 0.0232121854686407 0.00611551912167718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.801570872234993 0.775952555925636 1.26412322750623 3.57140215878851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0741391821156666 0.0713670213941923 0.0247602141100935 0.00642978496530156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.806247451083837 0.769396741487032 1.25870088124384 3.48702124966637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.097354915457341 0.0881594121965966 0.0374842794923822 0.0105448072041268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.820930098624024 0.76175828256351 1.24487701025542 3.38298111505327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128600542503775 0.110394126422134 0.0591655802491373 0.0193408505311849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.157018785862346 0.142404481798914 0.0405229161485898 0.114311502653774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0150481772575852 0.0144533617635726 0.000730936496356378 0.000309593542639883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156967487423922 0.142385075384937 0.0405156978582719 0.114279386604951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0149136267471453 0.0147213305870665 0.000727668651652027 0.000333555407120381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.155952153102797 0.141469776540458 0.0404044588222915 0.11303807275506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0154198176809753 0.01490294577716 0.000807592147284647 0.000347284054440147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.153973448603732 0.139648320545838 0.0401854781721145 0.110321996513329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.01597316796472 0.0158299674423241 0.00087782674444641 0.000437370053427663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156680939409166 0.143002119036296 0.0409903308216519 0.111498155790809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0228244529408119 0.0228180298776056 0.00170637070304129 0.00107865112546718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.163636210126038 0.148032678059438 0.0431689427190341 0.113992739360122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0339685794866138 0.0332932463978087 0.00362436212788195 0.00233755138715829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.15555030439228 0.141032802270173 0.0403990010150281 0.112006730360372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0159405990330765 0.0154772265684158 0.000845482316513034 0.000393508596041348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.154521416796231 0.140438927749764 0.0403875131915282 0.109883489590522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.01806003939558 0.0179526923863068 0.00106614343912435 0.000582408480456515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.159569514200362 0.145394997787137 0.041454584859635 0.113100242963448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0256067247200332 0.0246686457162491 0.00207510917412481 0.00120067789167352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.189752039918205 0.16463662892622 0.0535622334888868 0.127127593712679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0624270325626434 0.0597963969714628 0.0120092342187966 0.00705299819056948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.232200709381094 0.188078963172928 0.0788446257505965 0.152112883032745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0985986548350748 0.0977567982143019 0.0307448637898722 0.0180636323350501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.31704712700877 1.19866765453287 3.06956664422746 8.80100239371063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275393619720564 0.261816453139478 0.672326174285535 0.485654658991552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.31861372366545 1.20025067007089 3.06663390203023 8.81515014710654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275299492564857 0.261940174151069 0.671897174854118 0.485648779581256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3184020688382 1.1999821813264 3.0672804268816 8.81335887573292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275205801466378 0.262054012472273 0.671640797875575 0.485884675360609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.31942813299948 1.20102709073537 3.06603960573654 8.8233173885951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275594722067462 0.262491307017325 0.67186902718954 0.486272452869726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32306547033468 1.20600671101165 3.05858544428654 8.86609740465685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.277859275427315 0.265305312348866 0.672830147859977 0.489198062870006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32261733467215 1.20726100112914 3.05586422039144 8.86414302596625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.285466009543186 0.2698857596326 0.690466326698232 0.492543725194662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32099543732226 1.2029685764498 3.06353147451617 8.84026513563122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275464506611503 0.261611066899696 0.672668080743066 0.485513415456453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32086199693582 1.20307241888069 3.06276414308681 8.83962480125959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.27619721394709 0.261862133994009 0.673647636923625 0.485622705012554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32252192327837 1.20564538599931 3.05859768222384 8.85820242562817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.279066778045057 0.262728350730436 0.677131854350189 0.484652283765892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3290435333779 1.21889460207865 3.03612271384892 8.93935775499776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.298118560270544 0.273967978636444 0.704089624701741 0.492281964295059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32808870890405 1.22570770858679 2.98653481272059 8.92849937491838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.32430126631917 0.295275156149508 0.74675186597416 0.518091367110855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42353518113445 1.27370612923354 2.68550549846918 9.26771485254267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.237077991247567 0.244223117746073 0.270368975166368 0.234070416074367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42166418996581 1.27139245603708 2.68264986385452 9.2380322024292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.237297731276147 0.24398057003514 0.270671577269646 0.234042764971482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42320943093742 1.27337037245476 2.68142281566594 9.25916897063929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.237282773222613 0.244130476295867 0.270672790993866 0.234193690393936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42278647107606 1.27297920387286 2.68210266467413 9.25473968317082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.237448511796805 0.244334451731928 0.270943688144586 0.234370763627324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42381968411118 1.27564669923651 2.68409380680094 9.28105517774059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.239247705361537 0.245958318783903 0.272993453844668 0.235815550799482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42555401676103 1.27981888190872 2.68141507638403 9.31104569445683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.242126461755916 0.248805988211162 0.275995968245422 0.238222404415149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42452374152555 1.27495189968323 2.68352230473166 9.27874677783592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.237450286614158 0.244306090961277 0.270866600628936 0.234094175205298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42638476424143 1.27792892479114 2.68568020094894 9.31349250597033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238180491775489 0.244864783135826 0.271363308652217 0.234352216139159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42668717301166 1.27989703473791 2.68390730419945 9.32660527589869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.239550861812891 0.246447885206373 0.272083263588436 0.235301347354983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42232604599037 1.28729224629675 2.64966249941094 9.34582354141365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.253888744387448 0.258401656453794 0.286265760967694 0.24594475642815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41903733907131 1.30078198681574 2.58447230729632 9.42028626838959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.271871844842146 0.276783460495852 0.306836111711257 0.266907619555051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21451769134708 1.07703996252822 1.92692357544707 6.67087267769919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238000032672381 0.237854421131022 0.197844335127841 0.205601817580589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21466807028974 1.07700051690475 1.9270306224001 6.67038656681494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23816766555105 0.237938429707024 0.198051018149347 0.205722351582361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21521504218001 1.07739562180703 1.92627711720693 6.673070943381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238242475460058 0.238059632783539 0.19814138364195 0.205856643956014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21548087648448 1.07733694649799 1.92648852233726 6.67219141599367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238462304260002 0.238363892112881 0.198434727281899 0.206201183819581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21789996082265 1.07917909711315 1.9227345844372 6.68333749362836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.239936584513647 0.240229263911578 0.200061895484506 0.208206636788509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21923031297368 1.08163670932215 1.91718014072402 6.69474033262305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.24236504484959 0.243205820941122 0.202592866029781 0.211290396398129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21358239795474 1.07662774043478 1.92381959862671 6.66472836052923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238250212002049 0.237884914201871 0.198103182757141 0.205792552570343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2134906771954 1.07691581651299 1.92292498725777 6.66653790772412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238717652014194 0.238075046428927 0.198619977280423 0.206144421450668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21202838187831 1.07633712926877 1.92016852033216 6.6573512506309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.239897610715611 0.23911388615289 0.199934931676795 0.207250159278729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20577085993252 1.07840810673541 1.90074435442839 6.64177517023662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.249640273032369 0.248772404863849 0.21128257156752 0.218108666032345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20088047688564 1.08433606894852 1.86123555451537 6.64177647134705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.266157465744074 0.266598324668157 0.231362101847391 0.240342505494995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.460103221505459 0.450765700387692 0.278911735500032 1.12657573385313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0344136659804257 0.0336412284974157 0.00332968734262902 0.00531214141697605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45956759659373 0.450508031603422 0.279116323843982 1.12538149871755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.034438640728646 0.0336443553995747 0.00333474326699995 0.00531277623812106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.459540429513193 0.450478861708648 0.279274845622205 1.12508937516443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0344865879176518 0.0338153978066072 0.00333620703837831 0.00534371824119826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.459650207830436 0.45085120564304 0.279378890761348 1.12549332486191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0350491661380415 0.0343780359670801 0.00339291370813177 0.00543309506995844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.461417826305808 0.454794032884619 0.279989463448052 1.13212697995147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0405667498437759 0.0399553208657607 0.00405568270373769 0.00644706822716229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.464790234431169 0.460035896717975 0.280636250137055 1.14167689268263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0484984278719648 0.0478519893314456 0.00538864898665962 0.00821426887470894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.46026285343609 0.451114191392812 0.278926965954322 1.12703039693812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0348074458913671 0.0341735679930384 0.00335883695436355 0.00540745835909182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.460771491596483 0.452132579064275 0.279003437637153 1.1286050114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0364994391966225 0.0358174630480301 0.00352065947636788 0.00568001123244924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.463318500341499 0.455970207493186 0.27899108217147 1.13608507391442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0415244171894618 0.0408681592408114 0.00416909031978731 0.00661969550315176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.477503789169402 0.473456880795484 0.281298013362603 1.17038750672823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0695734652281617 0.069369019641301 0.0110344296550619 0.0146101229516283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.497226184735696 0.491439242902346 0.285475825200348 1.21100026247107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101745519966889 0.101715336547911 0.0247994593869973 0.028415238492514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.979711555388959 0.898514101148063 1.20954512828015 4.18896469137717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0719790359427183 0.0805590434394158 0.0214376501562552 0.00783320813677469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.979960137351913 0.898917802484206 1.2094759211624 4.19153419419291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0723335053707654 0.0807969074224508 0.0216657724041534 0.00791322270540437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.979968620441848 0.899300418382031 1.20959380586827 4.19308053087552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0727970638381306 0.0808888316732568 0.021877252985888 0.00789242989182575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.980995128693193 0.901347854597011 1.21012182654411 4.20363687567929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0744417120001584 0.0822538303480897 0.0226721716061327 0.00829934403762609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.98870827374324 0.913045705476277 1.21748720782885 4.25486199996265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0913393219661138 0.0967600158257958 0.0318749081272458 0.0134503008176241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00164929071872 0.925427791186712 1.23382531106326 4.30204925209574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.118402433887009 0.121442752063079 0.0496503482588935 0.0242104608402941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.983103703200533 0.903084981164161 1.2101540247367 4.21628445896552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0736552888872772 0.0823618981606309 0.0223045941208361 0.00838947204328748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.985447875476202 0.907782611282471 1.21223445957171 4.23709270669233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0782114699773318 0.0866960124973026 0.0246626828154652 0.00967756462363799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.993977003240283 0.918620906625795 1.22062218218825 4.28316742611293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0943974163190455 0.101494144019579 0.0337309574005585 0.0152381080696364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0509643642993 0.95659144978433 1.31147415167107 4.42078472658416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193691335933954 0.199462084563137 0.12201670601639 0.0756136445024622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12742218266562 0.981497823382796 1.50148119081708 4.49382879280429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303777310294847 0.309754343851096 0.290641330380637 0.190910987371508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.859053576917202 0.760916615538277 1.55929443763553 3.54728955206413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0861719658629447 0.0791799967814103 0.0366710974312117 0.0182549426793688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.859559391740665 0.76165946685014 1.55885984636801 3.55080307244738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0863690403418039 0.0795529351788541 0.0367830959136072 0.0182122700389635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.859350738815427 0.762046676888047 1.5592069872767 3.55110090782518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0874728774215148 0.0801759909643573 0.037438655558055 0.0183117470220541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.860095197876383 0.764415390440822 1.55964291611509 3.55839722002929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0905306334421784 0.0828510017300006 0.0389541133905087 0.0188576524723156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.869353860488856 0.777506246026379 1.5686642428958 3.59668684310493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109869672210194 0.103142546615821 0.0498212323618112 0.0245401406927099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.886500275958701 0.79253520053085 1.58678512820168 3.6440279430152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.136498545215221 0.131330686022565 0.0702515914563519 0.0363624218179998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.860371827768331 0.764092538151348 1.55952661672382 3.55938433422724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0888235996777134 0.0819267764643266 0.0379252431891714 0.0188289679453677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.861642101162806 0.76829326140724 1.56222091008818 3.57048350519254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0944472689996623 0.0873198687174633 0.0408549704783312 0.0198278150810819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.870222768084547 0.778997107486019 1.57216971649174 3.60186212020987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112920483884966 0.104617281194572 0.0524779266740361 0.0250556186999664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.938815573439291 0.824698917841954 1.6643948456179 3.75782862255462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.208171655700589 0.201198871229282 0.14886683086246 0.0814373540631898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03465809115452 0.857519981350374 1.85238835921806 3.87251923903592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.314119788254965 0.309154374109576 0.330546798135955 0.186465342576927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15240977155097 1.08817922935738 3.90602299321022 8.29704928955525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0839904694220452 0.0834894107349078 0.0326737813362542 0.0108778912565389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15387855762716 1.08995938430121 3.90955964517696 8.31438388821788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0841303012053732 0.0838767046704059 0.0327321818203466 0.0109372299600621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15439783616837 1.09111217269459 3.91502086614131 8.32582685700013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0843542932198863 0.0847024355155414 0.0328225239904018 0.0110379130457761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15262773475175 1.09103534033676 3.91289692375417 8.31097322547335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0861962019914459 0.0867428937673876 0.0338348642831624 0.0113910756481539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15921777582613 1.10097924705943 3.92093949076294 8.33950895658411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101737576820811 0.105049957850249 0.0432179520970905 0.0165958376508331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.17409461134514 1.11248643086642 3.92067868877232 8.36489554925656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126829104391912 0.132328954699021 0.0616303614088133 0.0281760544964509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1560266472393 1.09346879908428 3.92066444364593 8.3465955576472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0854522839015402 0.0851480699392735 0.0331832920727489 0.010632173663314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15915651685598 1.098877723542 3.92381435044002 8.37405168209609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0904074690796907 0.0900828568455672 0.0360385120495598 0.0118188918612604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16371041807477 1.10414046515243 3.91826486419371 8.35512201480225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107333867505513 0.108720036651433 0.0469582939663815 0.0179445146531002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.23289567810336 1.12788209176866 3.98470366240466 8.32825894891678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.205337502965818 0.207138861150239 0.145112775264868 0.0740410498639698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33921835097215 1.14462966369332 4.16148320492517 8.2866141985796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.315954834633772 0.315130752233626 0.329523470476168 0.181877405025306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13756447046118 1.0404718631544 1.34800453204174 5.43920215808923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0720735492137843 0.0943807741048997 0.0195122241150802 0.00731890558171935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13699890565814 1.04005930561219 1.34841435326963 5.43525648279659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0720330510057732 0.094640639584141 0.0195040209584845 0.00739643209468733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13769459652132 1.04106207206005 1.34846607577248 5.44245189335058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0725072858399408 0.0948902556027316 0.0196481606782031 0.00747174410272938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13810578555227 1.04229317704565 1.35000935522778 5.44871043891927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0744152613461399 0.0958011839834293 0.0206448371667761 0.00761148863234935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14449756758556 1.05198833984236 1.35758832757897 5.49694723030568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0900046394319461 0.109031770355856 0.0284856559923497 0.0124745066701627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15631889046512 1.06393932624247 1.37276641577683 5.559388885647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11584108807502 0.132118697865001 0.0448918723591442 0.022715532303824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13898489622345 1.04260097610922 1.34846451849038 5.45163077727087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0740993648526873 0.0956551002549819 0.0205728368662601 0.0076527641007954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14021059186251 1.04475362442405 1.35191786353183 5.460669489912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0788535771189943 0.0993288834180938 0.0227794717658259 0.00897098205557189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14533810910793 1.05079795650071 1.36097597610325 5.48442446784193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0948974301298154 0.112017361026269 0.0310018193312896 0.0136059248188787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19611924302252 1.08131395850832 1.44390236343165 5.62287746545246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195852890120936 0.206205500104971 0.119391438460816 0.0685343689881845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26771908838495 1.10718866642025 1.61484671170972 5.74406229816034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.307679630752967 0.316659841038037 0.293647104527357 0.174223452345551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94120272184345 1.84698378399177 5.39726755802185 18.6405149973748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128347375945354 0.153383845119145 0.0714213101900389 0.035991818943048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94143333814115 1.84717738116103 5.39702022011565 18.6430790631512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128143095534766 0.153290233039042 0.0716772936621488 0.0358630007184754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94166246349485 1.84727967261995 5.39428990076324 18.6416367767255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127928631879305 0.15317169717737 0.0719399817222244 0.0357023916341696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94115805259491 1.84657489604373 5.3913244355818 18.6252456290692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127656168268489 0.153564964335606 0.0723718284725414 0.0357424990862535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94645571059868 1.8512052718072 5.42668226527969 18.6916905661803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138780606811856 0.163689058455658 0.0839039163145269 0.0387876316641783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94866113288156 1.84827267336969 5.48502565084595 18.6457217929313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.159523360324111 0.183118438740028 0.103232252242 0.0486914061429027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94177161597953 1.84728718826833 5.3838020512164 18.6311048699662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127370396383016 0.153111233356804 0.0717392550800396 0.0356519023073138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94246482976092 1.84789360702056 5.38301917786559 18.6318456854998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128955157378771 0.155703377049271 0.0745760363696195 0.0451651025304546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94532983919581 1.84973884574083 5.41472018293417 18.6524448312111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.140485946547547 0.165315929864465 0.0857398590329058 0.0487152005839712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.9670584934701 1.8354921824706 5.62032635859515 18.4126309914519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.225364325745299 0.240479087025461 0.192541337217065 0.100878369358689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.0069588869576 1.81665445209245 5.83913654024404 18.0343436459743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.325434560346775 0.337823103928613 0.358729267997525 0.209047585320824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.637256451489487 0.589592638222078 0.48770964136432 1.80080966138101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0400119284811416 0.0467899285288046 0.00549419352348824 0.00204111121271835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.637496640658604 0.589862989106625 0.487777968085654 1.8019161340959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0403430217711184 0.0469230288493133 0.0056128430036635 0.00209799351105897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.637902311864325 0.590493218554335 0.487992456759584 1.80414048418398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0409555131259131 0.0474484124331884 0.00580490227186793 0.00223236846555336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.639463212380094 0.592677021328832 0.48874627987043 1.81125232026054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0432214450792902 0.0496254978146821 0.00643644261700395 0.00269484011659617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.649764623411366 0.603486406157471 0.496939499551139 1.83767462446977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0662354386224557 0.0714318228257663 0.0140396161367924 0.00775941865919305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667161893201414 0.616385558520874 0.51387811906626 1.87147317778135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0972420211178505 0.103060506555605 0.0291966345980855 0.0185601269138685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.637475693011705 0.590862870559214 0.488321560313676 1.80371529477819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0421021100185279 0.0484049546375909 0.00611152048779038 0.00241494781174215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.64114208316137 0.595635508341967 0.490137892204785 1.8188678974903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0487600346256208 0.0539717235513783 0.00808493164822826 0.00355392689027978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.652158869211747 0.606155560777445 0.498156020833774 1.84913389133191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0699244080014011 0.0741401705116763 0.0157249124081912 0.00849102822805504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.724575777398099 0.648191360448798 0.589602614819763 1.97726865462728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177614421596795 0.181379482381902 0.0980426566796546 0.0621542428683479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819618337767429 0.681885904189086 0.788021701941964 2.08039965474205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.287885524710564 0.293429688511819 0.264221033549744 0.161662541818001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.346500398229149 0.309913678169457 0.21009420192977 0.545145803654719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0529854790239294 0.0469962742873868 0.0121974432436986 0.00648095729440192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.34677972096348 0.310310262442571 0.210109361145585 0.545969378727973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0532442219262129 0.0466490074229221 0.0121199953215354 0.00627515089194661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.347463669699678 0.311382095487538 0.210216637757264 0.547928774616204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0535887676742698 0.0468825400730418 0.0121621941784004 0.00620590849861833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.348281672524445 0.312951913700404 0.210842352294206 0.549118940734931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.056419785777716 0.0496454223820588 0.0131921970504062 0.00674836908042339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.361639438922923 0.323530870696889 0.220347090801602 0.55927963157923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0802564118665797 0.0724089999764094 0.0233167822715123 0.0118524169694023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.386347866750168 0.336516976879738 0.241077713038734 0.57542766026189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110231720538074 0.100789766074263 0.0413639968207906 0.0209413148091286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.347871805567013 0.312667073163706 0.210720495218196 0.549468913315262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0548560074337338 0.0491311505286863 0.0128473977508687 0.00663285758294434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.351096777441436 0.317072824414428 0.213284956362977 0.554372578449662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0621681048536352 0.0563805273809577 0.0156484424433379 0.00793157977537625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.362703705383879 0.326388413318826 0.223117829740053 0.562712632627833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0822927304634969 0.0781542220244295 0.0245636878679573 0.0134928437583045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.465162868643604 0.368244108761881 0.345668229158166 0.619308688730944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.189417977815573 0.180725422876211 0.121155410097306 0.0632445008370807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.609296233297621 0.406348656678151 0.616720135947426 0.692535469420881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.304475965769464 0.292240273101596 0.31861680764764 0.153745757920407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.324936396933053 0.291351276713497 0.252604672692587 0.528929990891147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0519154714429428 0.040752104994821 0.0125693143782051 0.00322622898267509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.325461374707324 0.292137448247689 0.252896731101156 0.530567769550836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0523570121348564 0.0408567810201428 0.0127552310844518 0.00322740014044555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.325122121519246 0.292451267908084 0.251581971499865 0.528567904294563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0530734239364064 0.0416427747847238 0.0129146857487329 0.0033614699530815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.328888227503673 0.297734809109467 0.25393090942453 0.538292575030854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.055969041288038 0.045815631718764 0.0139476419149174 0.00407833589081378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.343102210423382 0.310005150618332 0.25915092054841 0.539484003158278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.081756257651359 0.0718886986615613 0.025216787346081 0.00993200439877587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.379319706155511 0.331175478914209 0.293019527345683 0.5750718426235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11662294056968 0.104633516225972 0.0467838607248235 0.021374965855663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.32501708640007 0.293903247601124 0.25289393878335 0.530991577671929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0552914793791124 0.0442996401937184 0.0138888941799528 0.0036951946968214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.329246139838686 0.300418874751908 0.255249891507768 0.538255296735949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0612849983365444 0.0536962968713481 0.0162707056879657 0.00543427899009392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.347367075862195 0.314618402744951 0.268066864238391 0.553950824477907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0847866514212031 0.0767169429738344 0.0275449410442916 0.0112620549307293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.503369484843022 0.381291770396518 0.456347940206547 0.692734015281992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.192857166668219 0.189538870412159 0.124228683144845 0.0713187432471928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.671015944273282 0.427607212943896 0.785659468398251 0.812030951449865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.305722633713401 0.305006922419182 0.313449708075063 0.178861291648555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86165235274462 1.78453153107399 6.25238089993855 18.412941229875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.162005472112456 0.164911062597352 0.137772913891234 0.0475229836900306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86129153091564 1.78414820919582 6.25299824513292 18.4078716907879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161998613046292 0.164962641481396 0.137603846512956 0.047558524334185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86053321816151 1.78332454120533 6.25447998875225 18.3967129450762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.162261356635199 0.164974266638702 0.137953173398616 0.0475553878159346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86006383558452 1.78271434850672 6.25001985648615 18.381247710381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.163022360570881 0.165900277164052 0.138932258374724 0.0480515982554826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8642169637738 1.78237995479381 6.23958614926921 18.3352274300494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.171966289711138 0.174784104743658 0.148944291826832 0.0532389022642905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87292866385497 1.77948946911548 6.26988220792017 18.2591528825743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.19024833961427 0.1919391562946 0.169399883487001 0.0632791087064667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86186406248188 1.78431425046197 6.2500726802325 18.4066156743267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.162720137217186 0.165823039521919 0.138610342337624 0.0483879215906677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85972408172683 1.78105671235531 6.2564200591397 18.3595499417866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165158420836894 0.168108692869109 0.141545477700515 0.0510836413620587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86236344305323 1.77922891043232 6.27833547727369 18.3182357632064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.174779853500888 0.176842778197928 0.15211048863145 0.0576417058836785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.92639564905988 1.78508837731375 6.496018680122 18.3269822640544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.254633688490135 0.252079908845469 0.255644017140946 0.110887232662893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.00327500607403 1.78709976651023 6.72682529913339 18.1908874514845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.355408471336029 0.35004094266442 0.439161510540541 0.225688034531089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.106009519260567 0.092793895436903 0.0304676806100313 0.0574279095803485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0297021271480108 0.0290854353175546 0.00425760204934075 0.0033764025448093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.106398257842509 0.0937744248210262 0.0305735240252218 0.057932939877726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.030455362916733 0.0286660942638756 0.00449293082056257 0.00315611731358705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.107699775175957 0.0959142375130318 0.0309421092095746 0.0590597318607505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0307788713164088 0.0303123900293024 0.00438374395310824 0.00335865147745127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109950527304087 0.0993560332880412 0.0314655158737627 0.0594511642002449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0359709259134193 0.0361626304388496 0.00555209182843034 0.00400207563515919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.141017370389081 0.121858885826986 0.0434265438149764 0.0699652418557174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0641043037614942 0.0655764168932149 0.0143734422793699 0.00918612945528508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.181666786142509 0.142505805581675 0.0689182020393897 0.0817827411062511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0960909101569947 0.0987648030603162 0.0315040371185814 0.0189162450951376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109887819647482 0.0982631975290004 0.0315435823746547 0.0595505393122198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0345822809739415 0.0334691144383619 0.00516183386847448 0.0035691004612119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.120096387416733 0.106721430509598 0.0342948138194853 0.0623715154047494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0457219336189399 0.0451743262982528 0.00773923516460329 0.00515681335368074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.148099607655693 0.122754292389538 0.0469212447966013 0.0678709630429827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0730405603182166 0.070426296397827 0.0179826988175505 0.0102760536819918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.317681099384886 0.189717982729502 0.212503245628538 0.121490322944625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194937918582269 0.18930595480043 0.135332318932956 0.0607474586238711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.514376279003089 0.249222111601448 0.555886585524933 0.199854530581913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.32016160600799 0.31364344949046 0.383693952503134 0.145665058095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85584631357744 1.77015344084029 1.16116865280352 13.5394615248859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105273542205682 0.13689479202775 0.0685164039545951 0.0233089029976255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85678274150551 1.77220640794931 1.16067982690897 13.5563676172102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107257996216026 0.138746662083999 0.0702484749522371 0.0240235234178713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85666625376527 1.7732690462151 1.16785856602459 13.5573017062806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113814666351418 0.144390786524277 0.0746387755099606 0.0296272498580923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85915253716482 1.77587595076118 1.18662042533845 13.5651316600153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133357941609969 0.158245107899642 0.0875121373554963 0.0390711056775801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86973828817338 1.7467528935276 1.42948857058243 13.1330414577247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.257714265588146 0.277137586269074 0.228588712849961 0.141075623910713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89894437711473 1.67807224832907 1.91892133271213 12.2007212064341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.397292919622888 0.414888823677687 0.500392148146524 0.310920167458317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85753721926835 1.77404905928536 1.18125536437364 13.5561866756347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124995365210853 0.152536698563719 0.0813799439255523 0.0363594110945217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86088884163709 1.76962473435288 1.24088279745109 13.4709458889159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.166985784964176 0.188457405869731 0.115301798488903 0.0601133158566323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87304669828156 1.73756282290534 1.49103762724853 13.0189042724753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276065724257098 0.288473542971189 0.261069948264686 0.145646334437531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.12316123911046 1.51787943939736 4.10410430823768 10.0281575395073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.744739412259781 0.749141054146019 1.79270602282139 1.00231724824652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.65589854017044 1.50741749887813 8.89473898668121 9.63940871632631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.21434797338381 1.21939640929791 5.03906533655567 2.45488557249126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.33458133490763 3.04045490024842 5.25944465674092 41.6068826168074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.180968323441062 0.294907899013479 0.175591480824566 0.0403624846939424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.33517586942999 3.04088358519001 5.27129656703671 41.6311740706091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184395877933398 0.294926177848982 0.179902953930186 0.04046793108627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.33439525579075 3.03948364072459 5.28349959181533 41.6082635983182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188121427040892 0.295643065731606 0.178557344187619 0.0418871120085658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.33864885407742 3.04123789731605 5.29568103891929 41.6647942242112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.203686716066821 0.300758624634808 0.187076876128572 0.0490722459487759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.35691569608165 3.0428397658352 5.428352588882 41.7370983316631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303331793960133 0.370281944214819 0.292411922105814 0.12819079998158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.39344753839084 3.04694863966937 5.69188250317956 41.8958168279348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.426065891379493 0.486786295153195 0.522647023040329 0.298988644324644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34016772702059 3.04412662094555 5.27704509980987 41.7199842274721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.199687878869309 0.297476931381259 0.187229850476713 0.0448313768191698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34393875821998 3.0438584281413 5.3105277929018 41.722883687025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.233654451080689 0.313940991939152 0.212283498436717 0.0629445748879701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.35631072988088 3.03986947967963 5.45911860955027 41.658378870261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.320392179521577 0.380988168994276 0.317905604904175 0.141102756802744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.51606659955091 3.00123639883972 7.16062133064562 40.890823193643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.760769318688993 0.80349245403312 1.70133955672852 1.01055300466647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.82947266035482 2.949776515775 10.9698951214747 39.5124519918024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.22527698079787 1.26319902631419 4.70742698564042 2.62000482953892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.534735699425527 0.506188685581748 0.017755992460386 1.04034892330916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0622898596758009 0.0383592764555429 0.0160343432066441 0.00111407331703282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.534886814954751 0.506834932250388 0.0183367991078782 1.04331512940873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0621035452248603 0.0434678492123412 0.0169509212899837 0.00199273573882131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.534159067685971 0.502216723210329 0.025907732882021 1.02978325842611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0815843460842064 0.0533720108766452 0.0278282295891615 0.00362074547012708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.534439315658561 0.483041158725631 0.0569579425303679 0.966258944053086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.120569423925476 0.0869042245083116 0.050425145394695 0.0139381726582311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.627129157724484 0.414347336971548 0.33801737740107 0.733918994488863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.263126852154377 0.251245582117994 0.244502461079329 0.110279521019606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.815020285939986 0.436117750811291 0.859934594432175 0.78051300343709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.40447219946032 0.417672183397462 0.588244909076509 0.265678183159773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.535096950137242 0.497821842131285 0.0326037487965711 1.01829954588166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12473935381373 0.0718133450319103 0.0695061498155846 0.00817623111290081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.540129965798932 0.443680195642145 0.111888875647545 0.833252158778143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184467209691508 0.127630703874298 0.131664052558963 0.0273240479021148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.632134920514283 0.390812911457254 0.353505372947161 0.656078526746545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275445577995849 0.270404479935755 0.252205365993521 0.124489674204849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34141887449911 0.552720963699889 2.87912998651104 1.14684763147775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.755656804061717 0.780125544407412 2.14672981110944 0.781811618404863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.13065123129844 0.796418779812852 8.12433695121729 2.20537126667747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.2558893369272 1.31771008718972 6.18876173703082 2.07746519766357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37603363923399 2.2227238863127 0.378983831838563 20.0995098757972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.248426849367294 0.176913651473764 0.401961784505646 0.024488419011135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37602877393792 2.22265397060376 0.379588610014436 20.0985914621565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.25814559206021 0.178722512644511 0.420596827751484 0.0302851651634171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37618179610144 2.22273607628541 0.381248990550047 20.101476452053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.26245366543056 0.177709863146311 0.418277417849349 0.0270527566035464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37682931045026 2.22332070169759 0.387446660793361 20.1178711136795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.268750978706239 0.182443949894522 0.407609172439413 0.0311530244683872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.3858950419996 2.22873069056124 0.47037626037103 20.2907879740332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.321526702943437 0.283978170622647 0.378789873849271 0.124252358218757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40800355335612 2.22976144771116 0.693579425523903 20.4721370783592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.432932439089982 0.422970787437381 0.566871416653448 0.306527695031817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37710487765595 2.22199161878223 0.385143855624317 20.0894659859794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.266427776952945 0.181281340633922 0.407453123105693 0.030155008579724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37978003775919 2.22276809367291 0.402887295435986 20.119161935419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276896000095503 0.207004990638106 0.375652399313951 0.0492084828117966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39062359071797 2.22375612585292 0.499248385992602 20.2158118665788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.342704941604772 0.301552540195901 0.406172711810142 0.134754525053711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.56936681550844 2.05033205420044 2.8249119442495 17.7727598068558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.772280166676668 0.749982260133577 1.80251980692115 0.960256302763686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.00667916862101 1.94898548269822 7.5325574537045 16.2459799311641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.2345320730249 1.215714972071 4.97705014492651 2.43044022467965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.77360127901816 3.60435304111728 6.71887739701842 58.1414509157958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.176805418181254 0.236346677980104 0.164994319566812 0.0291619379656213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.77316099024213 3.60359952384699 6.72857966404224 58.1289099018926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179235963252946 0.237368146242223 0.168987769263635 0.0303734884684412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.77245545525514 3.60215541079058 6.7425516432589 58.100268578336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.186502826105399 0.240201081154726 0.177726119204573 0.0327685325596759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.76978878118953 3.5961610356353 6.80848222707113 57.9869723535567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209875694805735 0.251538473518358 0.207298629156543 0.0422035374341994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.75031465434186 3.53721744614479 7.27946711125917 56.6364453462187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.324034238972982 0.335672668462225 0.394754028268163 0.121673970640628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.75710751536316 3.48203266377039 7.82899846628465 55.3310166096105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.437352914058289 0.453364645733437 0.633027751623638 0.282954175189989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.76889711815623 3.59711436445732 6.78055689722428 57.9825957072825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.203453414838702 0.246306262212585 0.200642039939887 0.0382747451021221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.75662387701327 3.57367067602594 6.94165862867222 57.429963068968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246998349128257 0.273168332243754 0.258337000392189 0.0598818442698303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.74856084821537 3.52502329149524 7.42050371810324 56.3668682216305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.346206550238882 0.352921484606506 0.434189334087162 0.141443114022671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.87043819500845 3.36565383639414 10.0282182145159 52.587267009357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.769337051724913 0.785601052224853 1.84115586939612 1.03464451316367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.14175444490385 3.18944394631419 14.7355553080831 47.5846222969083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.23304307873339 1.24946976400873 4.86235631215109 2.70071033850799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.708353761508693 0.654656372579068 0.681804534053997 2.2602217209999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0748185693191523 0.0851204226350452 0.0319898782056385 0.0271905249064789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.708382890772807 0.655925219634871 0.68279996900743 2.26165606188501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0769920373083318 0.0866511579198015 0.0331576975843927 0.0274125442649602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.711260612758012 0.661053051425304 0.686228108900504 2.27486983083625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0837084862134756 0.0924621667179697 0.0359859919524682 0.0283329717584558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.723077236978297 0.674638544556638 0.700479671765323 2.31015553323676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106570396329631 0.114948317886056 0.0485424718208922 0.0357107094865316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.808085554815145 0.724727073972791 0.860636791767505 2.42404544964868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.234615307774244 0.241793997728437 0.184622840944041 0.122558096634449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.928709492678007 0.753721851217494 1.23218323444951 2.43173821293855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.374623655117019 0.379177146248157 0.466854535836473 0.276430553066436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.719570889134931 0.670196710298739 0.695062471067003 2.30199854995647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0983823891798962 0.105915239122701 0.0442117342429376 0.0324004676736151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.748991842342759 0.692943653350022 0.734473831616848 2.36152209712067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145253055026669 0.150798442026852 0.0773401695509747 0.0521644495223428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.826242367174176 0.729254413578065 0.900564261201152 2.43195480474094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.256804447724011 0.257323127330528 0.218496999567568 0.134155052654857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36412866833543 0.83965646732486 3.14848997875338 2.69183846242279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.731294710352813 0.719308871213556 1.86704320732705 0.857529070016665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.07415571944598 1.00632642498496 8.06989422914395 3.54660961784843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.21524983811092 1.20432108919223 5.44294370820869 2.0967099954839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15461890081157 2.07271533251128 9.43901493537805 25.505320553871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.150129007114334 0.171761164414206 0.105976489098183 0.0731164644903207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15450548806795 2.072308279888 9.43675668725645 25.483716703984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157397996042432 0.178228609712828 0.114692337978522 0.0780325730029195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15634811531066 2.07267630428671 9.45485601783455 25.479502324471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.168431250256597 0.189002122662795 0.126603500982458 0.0843996938249666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.16590053011524 2.07210528825644 9.49492220572352 25.4339150461489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188724819801306 0.214549485721207 0.146639982362888 0.0985088375999988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.27076068675633 2.07579393708019 9.81202934323695 25.3717514846133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.29632725097846 0.318874631953038 0.315302535463659 0.166062042665314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40685646575244 2.08199638986917 10.3183629043475 25.3281069099865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.4235166188325 0.442589788389868 0.615684283786684 0.323947810649027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15942478010443 2.06929322651903 9.47731702527177 25.4115862656033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.181066071191886 0.202313104992712 0.137850805327205 0.0911561122281029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.18771596494677 2.06767587208092 9.57783125665501 25.340105308804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.221294889640382 0.241355225454892 0.185806651911178 0.108327910181204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.28240332328635 2.06880186449607 9.88058425017495 25.2693032688114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.317162641312759 0.331225179362162 0.355213371067609 0.183272975197358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.76473324643125 2.10263913687221 12.2485125423327 25.1871017885809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.761218239050506 0.767156075822362 1.93613188291897 1.00758593723461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.30671298215446 2.1741784532334 16.6728866255256 25.2950856678974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.23280527845057 1.23691705925451 5.23373792225645 2.52298990173704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33737592198549 1.20473960681728 1.9095033031137 7.38189546736263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1572244311918 0.159927202910487 0.109150366733397 0.0443816178077246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33954070578015 1.2072260989149 1.91184966864257 7.40472197054708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157733401203931 0.160068621832184 0.109428681670577 0.0436665909334896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34083797750513 1.20913786564221 1.91472128835244 7.41415928495202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1622308242599 0.162909260688763 0.113841650033077 0.0461819361188725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34674222010762 1.21544190636125 1.93177912189797 7.44792812938211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175777009480898 0.173606522966235 0.12600629085222 0.0534851818374648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39163422860679 1.23346324715605 2.08834374820721 7.40263165789174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.281542674647627 0.278304877772403 0.263914762252131 0.137433268083713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.47260635446183 1.24909397272357 2.43794216639934 7.30904704832252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.410921349836544 0.4098191116446 0.538865510408827 0.294776751238412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34395441679028 1.2126821808645 1.92501163132692 7.4292863046308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.169686996363149 0.167658011238792 0.120581864721768 0.0492935620461191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35562224678865 1.22070444216565 1.95843119402192 7.42498390758158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.204864754556445 0.199685700271714 0.158404503280971 0.07100384621028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4047657862965 1.23935659147801 2.13522532160893 7.41795432731406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.301154118852127 0.296765718519983 0.300559190706926 0.156507915446011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8193237492128 1.35224196615218 4.1958170075952 7.9038163510243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.756097812302219 0.758414006239075 1.89156554460566 0.976661454101553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.42742690331482 1.50980573511573 8.59407538438185 9.22262631217276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.23866167614214 1.24353103310542 5.34589738677154 2.43758481730679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36018194827604 2.24813510506973 12.6246862804544 31.1108782854268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.230941012847116 0.224056917750193 0.233776471580984 0.107452236009535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.35929474794378 2.24683826715711 12.611569162901 31.0693205748288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.231081942319656 0.225407732624968 0.23336439961595 0.107804964086003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36056028957005 2.24721083488811 12.6088385660219 31.0534694989162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.234131130837329 0.228311072814926 0.236541829953846 0.107142307725011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37097338061673 2.2532400178511 12.6078064001095 31.0802094102435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.243792367351009 0.237501671377452 0.246390339936027 0.106912457958157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.4727692596561 2.29037789123617 12.7729031451108 31.3800769762043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.32982891398402 0.324851250061031 0.410293994675303 0.175758878897407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.59077344889696 2.31526623156447 13.163772011872 31.4686527394671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.446754359110642 0.443809224496573 0.70087333930531 0.334104111023013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36952971784393 2.25362904569255 12.6345683971659 31.1490882635205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.239635775278431 0.234188623255766 0.244555312854461 0.108271321746303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39644359689029 2.26446205611604 12.665017524667 31.1937285604275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.265939013433402 0.259629757724195 0.284318967732731 0.118820865523722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.47932614564359 2.2876736025885 12.8449600939353 31.2991240590609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.343401052769927 0.341477201549626 0.437442418386412 0.192717754815281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.91245189794143 2.33876678325406 15.2319969953629 31.1847288225708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.768836680885137 0.769283125901026 1.95897421629578 1.07754567729987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.44974480054215 2.39994425502175 19.8872963875025 31.3185333079879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.22824935722554 1.22577457401216 5.02099771502226 2.70851656535734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36641866223594 2.18736732563159 0.195040606241043 19.3057800235371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246916876992274 0.203952912223748 0.464890145373479 0.0540404995485521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36636412542564 2.18812190901403 0.195981685810606 19.3198582121201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.257023285394052 0.205172014612571 0.482411587297874 0.0584306151181806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36642789818632 2.18903640767521 0.19799532181957 19.3379700366507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.267497524996625 0.207494924743746 0.488724392451701 0.0670071852066689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36706660112013 2.19136261100426 0.205264632065057 19.3866260967825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.261072865241303 0.211448323306127 0.41679151075293 0.0714024121667252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37600391955128 2.20531693555165 0.285889818419799 19.7154145992402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.319273576049666 0.291070850201959 0.369851241367052 0.115863661171308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39740204815332 2.21891205968275 0.490246188591691 20.1239345934641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.431842361266787 0.436458728144055 0.560559362172836 0.327843368840443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36817268747248 2.1876568295087 0.197204334207188 19.3200504042321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259933241466922 0.214795820307892 0.437868445124194 0.0806494920330392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37145281075988 2.18952826295973 0.209730419053158 19.3727902080136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274937860076462 0.225667738142579 0.392514622721967 0.0775481831492258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.38247004836774 2.19702284643927 0.270718404619638 19.5777615589525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.335496326249144 0.309504817892752 0.417535504903854 0.150826634316256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.53051575880823 2.0969874505648 2.03426263743463 18.4328421441164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.726982891305839 0.738113696707859 1.56556591644851 0.960110702885022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.92089005256768 2.01814953275322 5.88805803184436 17.4902862395075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.13038335400776 1.18121731749832 4.10092139039767 2.30756912012175 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.144421425746656 0.0916510309002601 0.167000591179288 0.155196162303098 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0896161638210461 0.0368872812961984 0.0329261623125043 0.00516619632458152 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.144485991329914 0.092003019459647 0.167044463635854 0.155374374190137 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0897351901676205 0.0371819878220382 0.0330979091847575 0.00523736287601831 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.141673152265849 0.0905391345419717 0.16036452036776 0.147189539691916 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0899412871842576 0.0387814658647709 0.0334676198565289 0.00559920638472942 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.138351303993805 0.0905904401168467 0.152420987633341 0.136213708610658 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.091482880679054 0.0441826373404463 0.0351400261864094 0.0069975993291529 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.162285192638169 0.126422744031642 0.172835133031155 0.150584660249293 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116384735758211 0.0820514631641533 0.0562064552101075 0.0208159959472017 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.209949580554188 0.173594935384893 0.229021289498875 0.181881227210497 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158299219095333 0.12915509428669 0.0980261898629248 0.0466038655641859 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.140967905213541 0.0923307278232427 0.161012938846703 0.149019587004248 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0888327949619726 0.0405161646410832 0.0330494584016213 0.00631060182017317 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.140629163367266 0.102830088107557 0.15610531813057 0.144884609215695 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0915354254313474 0.0546140866977191 0.0360157609013274 0.0104817207108443 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.159989963461295 0.137785191563993 0.16820554791565 0.155695876319802 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112464665327311 0.0930710662341825 0.0531082467585867 0.0261332800600622 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.33191535137037 0.305230868951534 0.423753240965798 0.330859572413127 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.262472157228519 0.262287314465946 0.244041108020766 0.165130054376234 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.535511724054653 0.451281790662985 0.933358744016133 0.581890763102858 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.423160211046184 0.431442351784238 0.617889300579273 0.398769248077797 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.174182719867262 0.139170916879377 0.129758208335469 0.144336739930139 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0630544128930708 0.0442264914422529 0.0159868939764525 0.00152153200349812 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.174515953312939 0.138888397020712 0.130207428153723 0.143724511816216 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0628723068488872 0.0448367700611625 0.0159848492533719 0.00174817634208887 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.174867712813458 0.138816342929661 0.130734525845706 0.143261548475396 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0628557630401204 0.0450918641751748 0.0160621052231793 0.00167222529283318 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.182295891371903 0.146338408870435 0.139061704686879 0.15465272765226 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0650182257753473 0.0474583593932586 0.0172673957373767 0.00206892257954033 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.211368822800651 0.173838031687488 0.169092102199582 0.180323989716115 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0830665227419415 0.0691188038711922 0.0275950609974383 0.00651763626340195 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.274153434754254 0.219723271044622 0.23227141808816 0.245579097621998 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11656912268958 0.101154681421975 0.0486856532135884 0.0176676104169263 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.183162397382514 0.146255317049061 0.138271735962487 0.155803043408611 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0646107527653822 0.0462997976491943 0.0168771391336696 0.00209114948345113 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.195017744236802 0.159765221742211 0.151030947065529 0.171983265351483 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0678148287951339 0.0533505783727234 0.0190541770814297 0.00311400277416937 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.237892760837351 0.202357850850666 0.197212069631681 0.231025727526237 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0858093219234515 0.078132402631509 0.0293217838285734 0.0094113416113301 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.469420063197145 0.353952876355141 0.503906618024601 0.537037920741791 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.198927521461329 0.205687501561876 0.133722718604097 0.0875345316305661 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.716336071948845 0.472104779482972 0.929572618111108 0.908852920401682 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.315595696248518 0.335725673496069 0.326062184674698 0.237540971260629 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35632542479387 1.20757966722717 0.404018552239145 6.20456792458666 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0361194552847523 0.122048610696954 0.00190366407675421 0.00336532977514014 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35623170638036 1.20760746820869 0.40385369410826 6.20516321620572 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0365590250332805 0.121962770596712 0.00194694203799906 0.00338616434204081 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35640300321035 1.20766747297438 0.404151767654256 6.20611789892733 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0376841054950566 0.122154826637403 0.00206447133052532 0.00352972200042393 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35613260653677 1.20785531898189 0.403970487788312 6.20879018191145 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0414325048848339 0.122047943001227 0.00253076829730005 0.00396228964057818 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35568137791799 1.20963159608403 0.405464845764392 6.23090806403143 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0663606184880749 0.129190690657362 0.00791058648896878 0.00886308930809954 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3562112285818 1.21380307605474 0.409153854635725 6.27822106317855 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0962812684357525 0.14880226112662 0.0197301472972395 0.0193608569327798 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35488357335717 1.20556190105875 0.404417675525891 6.1845615918865 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0398401829408949 0.122551313090653 0.0023098552838998 0.00380967089558357 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35528621389072 1.20545330897244 0.406256944110485 6.18421801015773 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0489008967353819 0.124412825442637 0.00363929011566169 0.00505983784659258 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35492939358347 1.20494142894859 0.410381389191114 6.18192401023033 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0720042645966669 0.133926272436065 0.0092714425362972 0.00973337114007353 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36475330871296 1.21741458145212 0.450416468109603 6.32431615730388 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.17918049060997 0.219645589391822 0.0780284752236198 0.0633522368417793 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.38656477987126 1.23655116579847 0.560753838545376 6.55103350095882 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.286767389000513 0.32783400038901 0.222876245592603 0.175532478016831 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.115305173273205 0.0884853149539426 0.0441209924650978 0.0589904349239106 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0334840432799188 0.0156015388444645 0.0047117424202898 0.000580696624871127 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.112436458671133 0.0864620275848645 0.0431314441697556 0.0564769164682483 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0334646194854875 0.0160632871761201 0.00470840268453079 0.000607769454712157 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.113127234390124 0.088908375498597 0.0434167224858571 0.0575192174153547 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0342647390045104 0.0182084017327606 0.00489528336995445 0.000730164126736944 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.114353245102393 0.0939164744344391 0.0440484520744685 0.0590494144230606 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0362818399677513 0.0236918180967004 0.00541514295053831 0.00118133597580856 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.138194998466762 0.11980913436232 0.054590534533681 0.0710719327301572 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0613192782542809 0.0545401861045678 0.0133628586016856 0.00674685526464805 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.181138802469475 0.153621676741611 0.0809123882751536 0.0983786181059953 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0942169795173211 0.0879713680807945 0.0289640258255868 0.0177672529417456 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.116245844777615 0.0951021542527862 0.04437176470973 0.0619108822986652 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0376404443182646 0.021473540966268 0.00571600947412071 0.00101674713215262 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.127588986459929 0.108627790381954 0.0490533302700456 0.0702829805099007 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0490257294898686 0.0355534032175506 0.00892385680307023 0.00281667422504689 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.153728856289681 0.129786024642191 0.0625630527852699 0.0809340138207485 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0820013247211424 0.0657663860158423 0.0221332817646496 0.0096799669162218 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.332227546090491 0.227463215397299 0.24764967607817 0.185505321660033 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.218783126724048 0.191825712022062 0.150108997617756 0.0754861385300832 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.532222036112805 0.299648255331972 0.624343346326646 0.296084766037248 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.348582607925218 0.321763032444341 0.40277073333273 0.184244260391437 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.319246354357076 0.289483307530422 0.344567687393576 0.627582028634274 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0312870229717256 0.0237325336659202 0.00396432217316286 0.00100250426127194 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.317390332834592 0.288622294474635 0.343472948847857 0.623225428700481 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0310063345799484 0.0245790912246896 0.00390635856172312 0.00103721704699711 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.313507038309944 0.28683497046879 0.340618236020309 0.613394292357635 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0318512039837439 0.0269908886048402 0.00416237231219124 0.0012161616098505 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.31949966772915 0.295084637664853 0.342444773742329 0.625917979039251 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0365286906738886 0.0333372310153259 0.00535037412797448 0.00190251418705613 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.359148386203498 0.325314025789493 0.358732046512851 0.664733469195625 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0738520551306521 0.0681653043413203 0.0185423932803224 0.00939672880618323 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.402309450230831 0.348332932603551 0.389771205793856 0.687649331056043 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115606304183395 0.107170780515548 0.0430953803359642 0.0240295834762021 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.322845611448414 0.299078612377619 0.347774162022036 0.644015742644254 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0347914041645837 0.0317488611159752 0.00494323161564728 0.00168097839063742 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.332828712341941 0.311182415331877 0.35079609640021 0.657968344428454 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0474313745477432 0.0456617180734844 0.00861429001792054 0.00377080847336036 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.360998362782667 0.331791884453476 0.360407872494144 0.67142175394468 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0819085191481643 0.0776646642800591 0.0224577838019472 0.0123214910069173 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.535280382913703 0.424866192830771 0.545131630632643 0.843947141140461 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.224300146931548 0.211550836882015 0.161410690799104 0.0919621808309428 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.704840057392552 0.468323911281284 0.913562013657466 0.905894445558831 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.364956536796931 0.345179070394186 0.447360131698405 0.222581205560332 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0918502358264109 0.0404838760169202 0.0452229614116021 0.0219060274087485 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0760162853555543 0.0269655051658794 0.0238152373943155 0.00198138233058702 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0934793741573219 0.0419756958937311 0.0473559557810522 0.0238571894992105 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0760148848461229 0.0273853546717516 0.0238619696687887 0.00206536076094824 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0935842716736047 0.0424637627530085 0.0476356954848225 0.0238955778202254 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0760753616633839 0.0281952729885622 0.0239997963646667 0.00216583710244659 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0923113784884852 0.042980505636719 0.0462583612874434 0.0219559290076458 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0764040515854869 0.0301923937123662 0.0245018428253551 0.00246452088235394 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.108819097942364 0.0634161054452891 0.0608449114115092 0.0307445697782452 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0881984670920135 0.0480279204390722 0.0322487300949332 0.00609281607621253 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.137658040259773 0.0892298426832125 0.0851547683183231 0.0432911312380134 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112044805168019 0.0707331482772414 0.0485260185979461 0.0127695624107329 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0916420249326814 0.0428673910450322 0.045043492098823 0.022155329197439 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0761684866558501 0.0293253766834226 0.0242311988190814 0.00231279994501803 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0922013144324516 0.0473758383152724 0.0443976872294467 0.0212216154727353 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0789718486105586 0.0353085390961286 0.0262011795253479 0.00333099443819946 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.10854359085009 0.0672378283143259 0.0575547679374688 0.0293065742636548 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0916420263373074 0.0518770135569822 0.0345692093005723 0.00712470146096509 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.230230700321605 0.157410750185431 0.184012361527499 0.0915269213126332 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.183701784525063 0.13399000832095 0.117659652908403 0.0436929131252662 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.370414993051771 0.230601923048371 0.390738716991517 0.168425339529596 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.283316513187151 0.221275669763491 0.263674363443026 0.110784307080621 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.201196050397249 0.169472036407833 0.19415808899304 0.232689410913136 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0660616416777372 0.0445907773387478 0.0181046229923875 0.00130161991147049 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.204835641599428 0.173295031417159 0.19955945221272 0.242363991276318 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0663180734851166 0.0447189002874059 0.018229257081074 0.00136298970584856 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.194858087224795 0.163809692226402 0.183471493155332 0.215898710451729 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0666328851701765 0.0453812968314058 0.0185045845186543 0.00147153825815887 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.192874119805313 0.162862428155339 0.178023909191982 0.207179703269526 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0685391641056818 0.0480310435994014 0.0197404549426114 0.00202713812087304 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.225292583303828 0.194213128737476 0.211175347820154 0.242257793511731 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0930413938258127 0.076676853928954 0.034482900034691 0.00905968220882938 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.275343635102636 0.232973326630586 0.276473311888596 0.29431518626567 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132780003761196 0.11556006133316 0.063584891823641 0.0246059772435486 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.189601850481281 0.160363282255112 0.171448014519753 0.200291975465403 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0667393104039615 0.0467270065644116 0.0189761008357326 0.00183767970594621 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.2074853967147 0.176858113196262 0.198488348234949 0.234530997919411 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0743215915302112 0.0538684756188165 0.0234697806523258 0.00345734184290544 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.245758186960119 0.203039357990389 0.244783920938728 0.267165776459147 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106597928196258 0.0811350684995038 0.0437431994738833 0.0107400378967823 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.558029111482814 0.393138531828404 0.833455479831132 0.757936102099686 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.279621663867562 0.214726650979147 0.246960176758125 0.094175614919651 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.882652491157604 0.528840293431315 1.66230619129608 1.26290998078523 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.451897156711022 0.350475741790273 0.626164659805294 0.248707944173448 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35012992733154 1.23821586676764 0.262061345415563 6.38959222141871 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0224781996711779 0.0893135377368622 0.000174348342920001 0.000956691156168171 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35005595493427 1.23816085561309 0.262477534548922 6.38892122420049 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0227600577500591 0.0892445967334972 0.000220764987960238 0.00101041101595346 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35006671255997 1.23813452784045 0.26300140891582 6.38861790505993 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0245121619559415 0.0893018163888872 0.000364953237158497 0.00118096496308446 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35023403676247 1.23817191149604 0.264330210485316 6.38915832489381 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0309142855836213 0.0896769570782202 0.000994197959430304 0.00185392094520648 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35104848502495 1.23946581328203 0.273137075071446 6.4059265579793 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0688329466811104 0.106915007766052 0.00923685032869665 0.00932078508206214 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3526768157044 1.2427526716178 0.286507971905056 6.44782190466215 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110330236803594 0.14066443912724 0.0275625688719111 0.0254877492615951 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35048934737179 1.23817219005619 0.264729207165309 6.38931352973313 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0285550504437003 0.0899184038257019 0.000735127140675022 0.00167563920730414 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35107641128741 1.23850143316565 0.268398986924703 6.39364054116968 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0412888440010251 0.0929878847384667 0.00261410292641613 0.00367075000953878 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35267491732636 1.24028379530931 0.27889443113967 6.41615412361061 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0733384041331029 0.113815024457346 0.0112911051844073 0.0118686063382388 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36840855055222 1.25917538088634 0.378356573406633 6.65096812140697 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209827814471137 0.25404276190228 0.117915958764362 0.110564506409112 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41000760156341 1.27169493044306 0.651944806578106 6.84701035058666 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.346064605091738 0.401065259598438 0.347382112231049 0.297757045856867 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60058717942127 1.50710073543192 0.374875548695343 9.3870312786837 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0122077747483305 0.0976372875924771 0.000509504901207183 0.00425883166586034 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59690175025968 1.50422547797094 0.369114628486736 9.34803839122633 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0133533259901834 0.096991429860611 0.000597134284328154 0.00428658180813094 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59644818627772 1.50436635027154 0.368617336563168 9.3498429943292 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0168737351811037 0.096598112627051 0.000917054584124649 0.00444345532062934 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59568501595668 1.5047375262849 0.367945630334467 9.35479293573725 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0265375123961111 0.0965353839954002 0.0020642771353007 0.00509006294090362 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59285832405028 1.50738433629001 0.368044503914532 9.39219618906318 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0716866914533452 0.113675837197567 0.0138997031237773 0.0130736152171407 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59105002296894 1.51187178276693 0.373489357359081 9.45757640241803 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117565566055337 0.146919424776535 0.0382341362020772 0.0286854724594093 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59720428318495 1.50422355675378 0.37145353982802 9.34803875194907 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0204301495708546 0.0976229630390347 0.00129206881698806 0.00507123522205052 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5972533824214 1.5045476506364 0.374459394857256 9.35281323286352 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0357740683434447 0.101471146538188 0.00365632253416896 0.00725328612062476 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59696338947703 1.5057227406063 0.38209557049229 9.370655849542 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0690420310359997 0.120284435670177 0.0134117880289232 0.0159144965005677 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59837002725313 1.49431194635073 0.523072317138527 9.30296194611171 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.198032458470515 0.250749210304776 0.112116412043734 0.117233872667032 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62454965622775 1.44428969100241 0.92589722792852 8.8433874004336 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.325209288371483 0.391570498421594 0.314755909889138 0.309759911485615 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29987254337655 1.18718236738564 0.927679324373664 6.4915391467189 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0250993085090329 0.0975799683174389 0.000924424719552497 0.0021341571720533 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29922670853991 1.18647030861887 0.929336871057131 6.48595536229098 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0260453791094038 0.0975649792999898 0.0010317178083688 0.00214128214537524 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2985709451222 1.18541767196436 0.931073807163145 6.47724816781026 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0293201587469306 0.0977199956413085 0.00139872339267397 0.00227677447779339 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29442799851443 1.1800825014229 0.94214747676103 6.43329834394264 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0378385814713347 0.098948786990241 0.00270975090615346 0.00280170445837462 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29691669288914 1.17457532326742 0.965511995582209 6.38278462155973 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0866680124906859 0.116042696725908 0.0184272400985595 0.00860882608279579 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29543635003871 1.15511054569856 1.02516094636356 6.21018971913758 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137772094918984 0.147891002312798 0.0514504662286656 0.0211573896195432 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30072831975177 1.18652063222496 0.932401824904651 6.48775071541383 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0362488024819925 0.0984314343193762 0.00241565853822892 0.00263033216620106 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30171680105083 1.18409941039614 0.9419078511074 6.46936518104598 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0548734347198404 0.102225395193236 0.00641332899515367 0.0040643525485578 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30384783659319 1.17901985273456 0.966544762326938 6.42447097961471 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0989209662618845 0.119650110879065 0.0238504353898152 0.009892100117764 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34909348049605 1.15472408484727 1.1655354709234 6.19875591358486 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.282837251129573 0.237573794378557 0.227807847763461 0.0767484202783761 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45903987469933 1.1619741372235 1.52340759890032 6.24960173837453 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.461731559633923 0.375556396925738 0.650232574172532 0.211221518402754 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109633497741395 0.0567280616605335 0.0967919190731097 0.0760661520381628 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0842418903204616 0.0311001436104165 0.0290187374598087 0.00364150365377141 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109686342630535 0.0572757740669207 0.0970994421548485 0.076837012274626 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0843703662891933 0.0315246086271446 0.0291755598333842 0.00378407477621448 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109867245604956 0.0591429674968432 0.0977097139761627 0.0780690457199711 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0846416015811996 0.0333001311052518 0.0296374775392663 0.00425448859652455 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.10615492256161 0.0616793856995698 0.087083919163642 0.0657402926692012 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.086517241927389 0.0418241699872761 0.0317705846764745 0.00635646391784618 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.153818277774892 0.120713051057913 0.137336731111885 0.105269029311739 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127929547942999 0.0967048822955931 0.0641116727414769 0.0273573982211882 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.227833256202325 0.189157468012894 0.236001770279918 0.177120889589376 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188789010748433 0.156368388425358 0.127751936964143 0.0646913359307689 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.113502568607139 0.0689559999048795 0.105951716825642 0.088645782002664 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0850890981302985 0.0399252653551565 0.0305363528966182 0.00572634597384636 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.116935047195167 0.08367490284172 0.0981570228825885 0.0791162826055437 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0945557505563881 0.0610921925373604 0.0378330845763603 0.0119818472299753 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.154803797960816 0.132238137722488 0.1279946899739 0.0996208011572408 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132912643917562 0.111689672924251 0.0696613298796079 0.0346674376370152 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.383511628157124 0.333192423680465 0.533219932791693 0.319377271589151 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.332699225223292 0.320508624597772 0.392976323597436 0.230645303271654 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.664809588962901 0.523639567205358 1.43703825588434 0.69098128388008 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.535695184028023 0.542313602539136 1.01847689954849 0.5794984667696 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.165894722826298 0.140344510526942 0.125302528374022 0.141009497952749 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0597212925009697 0.0472544392530717 0.0142264884665437 0.000665581092795748 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.166031612843933 0.140196662648368 0.125503328553275 0.140630795746444 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0602361816856371 0.0468003416330313 0.014411980122466 0.00062164803188542 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.157384895185439 0.131520077882216 0.116747061472939 0.124411072189522 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0609206012636052 0.0467721181314454 0.0147554626525059 0.000634426528630692 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.15827148711317 0.132972490958292 0.118136068384407 0.1244902690023 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0621104887849167 0.0495255097286499 0.0157133139109324 0.00111910217735473 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.188836936236533 0.16160901394104 0.146852720378696 0.147672589912285 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0805264343856696 0.0757401779760174 0.0258103208969875 0.00708210262770852 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.255266362413334 0.207534093659849 0.220219773249839 0.21124030356482 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114452764143282 0.110582940561407 0.0477807303006003 0.0200747588716466 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.168686228003607 0.144779798570704 0.130087854367501 0.14673342183037 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0602733099505438 0.0482593265354804 0.0146707831934674 0.000905927419957113 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.178786467565396 0.1553584734813 0.140405715003444 0.157868856547314 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0670401341357176 0.0561703777191496 0.0180919984555453 0.0023551454285945 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.213542414760798 0.183578466070306 0.169840517014663 0.183092678317665 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0955008113565455 0.0829313277564281 0.0333790698853513 0.00965975032625843 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.5262087310458 0.353441152006023 0.598888708331183 0.521125932560097 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.248937322984874 0.218085456641627 0.18745574798257 0.0944358681376133 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810786494098824 0.450767944404351 1.15415776746172 0.828733537417422 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.398519129533684 0.353845316847073 0.471216385694918 0.250250553844085 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39645781737599 1.2592674544985 0.356960501284697 6.68352682554805 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0311261054152616 0.111774124385418 0.00124041972823715 0.00247688407601896 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39645268527704 1.25915408299547 0.356464959952506 6.68256573935039 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0316672277777049 0.11177525470201 0.00130522506793513 0.00251699725346887 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39659370951525 1.25908614780247 0.356282792304493 6.68211418605031 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0332402851265864 0.111930762066722 0.00147109472572861 0.00270675147903796 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39694431786686 1.25906516061652 0.356237250823889 6.68253790708677 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0385428840381605 0.112947016409245 0.00212732742174362 0.00351671290758091 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39949400465547 1.26068239638512 0.360603882152198 6.70343576301709 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0711678660380267 0.132463436280423 0.0097572854032893 0.0126985995739634 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40373717993276 1.2650908389306 0.371702261157316 6.75545181335323 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109127990796985 0.169458333560897 0.0263371194177384 0.0325552762954518 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39661547953812 1.25934693168925 0.357485697010397 6.68490354611607 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0371972153505593 0.112132212155488 0.00186250338958539 0.00310566924849441 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39706621993218 1.25984986585396 0.358909280918164 6.69127119956647 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.049546154013059 0.114619830945842 0.00386589652579168 0.00496495361072336 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39943198333805 1.26306932896164 0.364186039077656 6.72849891765479 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0793609200272078 0.130459442666382 0.0124418120254925 0.0125555589091049 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42027887945444 1.28876638401102 0.429309616742094 7.03052804491439 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.215661328371627 0.255463507673687 0.120602209743737 0.100763792448797 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.46288484335421 1.32183844168919 0.615503476310904 7.42545453702948 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.352825622315954 0.404690733173578 0.35841633934966 0.279973471363138 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.102066208176965 0.0779983309689068 0.0419312014409518 0.0487040573773566 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0344032209628073 0.0199745192382564 0.00500656482552891 0.000706647264780071 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.101941812758874 0.0782030221882993 0.0419212536843698 0.0486657682780541 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0346228153744268 0.0197654870643176 0.00506543338897869 0.00068593163323587 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.102419340252436 0.0798556646142172 0.0421746703800264 0.0493101801281683 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0351663956191851 0.0213096620438428 0.00524474055084008 0.000835363279672062 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.104276692703236 0.0847202068688888 0.0431382688780403 0.0512211965127815 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0373758114504852 0.0259054037721645 0.00598072284132354 0.00129530679647088 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.132364604341424 0.110790787510684 0.0557390750359349 0.062563195975305 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0671912680532947 0.0563374975603432 0.0162341023943128 0.00709285831035445 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.172563470176738 0.137274899619916 0.0832368092444887 0.0792347981736614 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102938177729479 0.089537005010755 0.0352781334816619 0.0184911200649697 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.104055575137377 0.081545046639216 0.0426883179105971 0.0495627842219741 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0376423352950659 0.023077993943127 0.0059941011802888 0.000928291024733316 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.11805563134426 0.0918035559074626 0.0487707924435712 0.0551192445666623 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0495721956249903 0.0319257103118471 0.00953538271119237 0.00196343702321188 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.159257373635322 0.116714977353062 0.0705769499601682 0.071095087400022 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0835893437116638 0.0552984740779278 0.0233286794786784 0.00627917908134139 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.341873643816045 0.192666578923625 0.256334565934484 0.132872429923549 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.224601362224601 0.160489746817867 0.151791075249212 0.0507403022383363 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.543131853610262 0.253249972289277 0.612640893797603 0.217611841614704 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.351906347243052 0.270483372420715 0.390264072772627 0.126249899536135 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.350474489203053 0.321461306986695 0.390730816030716 0.728890256063628 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0373403270113131 0.0345173625708351 0.00574979713236273 0.0017496418789599 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.345303292070225 0.317050711446744 0.386900126648437 0.7135215202825 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0376892092148441 0.0344801523861263 0.00592094005920469 0.00178018582289782 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.345215945128814 0.317302016157972 0.387190313662292 0.713012849034832 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0378237262024356 0.0355547627524733 0.00605375673288433 0.00190437587862361 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.349964978460975 0.32295508167867 0.389975338099047 0.724038865233493 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0413160903337797 0.040056061145165 0.00710425361983889 0.00251332994221537 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.383753403249265 0.347511394677436 0.4065610386553 0.760889243011672 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0746990989701193 0.0676144903982945 0.0198667674098277 0.00859014634196277 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426524537388263 0.374549549899794 0.436241693711901 0.805863295614899 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113513037113198 0.101337897427992 0.04328548414289 0.0211014995540101 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.351911508726 0.324724242524115 0.39148486326206 0.73323066348536 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0400611504901728 0.0377355900367167 0.00678388089469068 0.00209969757033589 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.356122847030076 0.328793838873071 0.390871752983671 0.73009221662168 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0489674143414779 0.0461808441918747 0.00965631283559539 0.00334454857589766 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.377520759645338 0.341387358860235 0.399324805787986 0.733751442120102 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0775411249281214 0.0682122525830467 0.0215558692577621 0.00843307260530003 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.528700636790065 0.414137538453594 0.552268919233576 0.846972202074852 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.204155593458252 0.180281185315828 0.135830438319498 0.0623060601723553 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.685794070515146 0.443389503797521 0.869264285403975 0.868778787873062 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.327548342516157 0.298407057099807 0.360392184123989 0.158711642214942 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0787978954518658 0.0265322637383505 0.0330723142517702 0.0137001603672118 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0676247593629752 0.0165923891062312 0.0189071384058228 0.000778481538930206 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0789247872086155 0.0271685299827957 0.0332076917903092 0.0137390215219041 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0677277012532434 0.0172324590712478 0.0190293771376904 0.000830047882620822 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0792674420697645 0.0289127801281702 0.0335582720228642 0.0139557823731899 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0680784597185105 0.0189775817833805 0.0193605282294419 0.000997224221415918 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.081132133687074 0.034648092434919 0.035011513974016 0.014615476166703 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0699493500398719 0.0250756280135751 0.0207282000300251 0.00168277551316487 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.108626675220073 0.0667910412398941 0.0523547719269284 0.0213625099555322 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0980778092751013 0.0581158396332495 0.0381168973857113 0.00860510955606113 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.158843354845026 0.105242270598845 0.0985329378197225 0.0398028756974269 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.139950271962199 0.0942519653011118 0.0714326305581818 0.0218968100710683 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0790895092969889 0.0301002784071397 0.0326383210425932 0.0124173352589553 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0691163016701735 0.0212750677385626 0.0200749193868363 0.00121552713624233 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.083654294708542 0.0402728303377572 0.0361663210633251 0.0140220555383226 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0738271278138514 0.031955760514315 0.0234143769259516 0.00265223790087527 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.110008780341218 0.0659960872533814 0.0542866113445937 0.0212542119012106 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0991530103990476 0.0570040422208288 0.039293309687647 0.0081664278143844 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.293970896665505 0.175903008911906 0.275237410946419 0.0974973225612768 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.244556419368951 0.16385381301945 0.197719694128278 0.0619811846237376 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.485514426939051 0.261515050820448 0.66515647670488 0.196868427406305 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.389301547085787 0.271220964732341 0.488299892230399 0.156972906135331 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.190915211580685 0.156056243518672 0.201444347810783 0.235236695286428 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0646859560131368 0.036429620800602 0.0174191646302834 0.000674414512094952 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.188549323824981 0.153807281193636 0.196293653122547 0.227258314116114 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.065131178691473 0.0369178505191691 0.0176766790937656 0.000787918507971381 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.189008474195241 0.155366612470742 0.1969451805791 0.227978211852454 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0665504338436415 0.038649805605098 0.018482573730752 0.00108534209648427 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.191036392492769 0.16177808994896 0.20048074243803 0.230397779298726 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0705513738262119 0.0475821696996009 0.0209485553220148 0.00251947884836676 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.235349631072698 0.215495394825146 0.244417127608542 0.274737757591672 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117438926497436 0.105064147691665 0.0514971692845942 0.0201272771993558 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.347892208980516 0.306293950379136 0.446791349991895 0.469003669526745 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.178715955053011 0.16918523004795 0.109813526850146 0.0572522462860233 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.202135505486764 0.166503428173371 0.220720852574217 0.256454601920936 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0681243816860177 0.0412679698103224 0.0198231131608195 0.00163416302523057 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.221911019536579 0.184520181875789 0.247289342392586 0.281249104285276 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0816910439731575 0.0563989120166417 0.0278131975161905 0.0047240071645568 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.279747175122506 0.227967703689486 0.325193582768005 0.336990328806062 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127993978527208 0.0987412386312179 0.0605473827912483 0.0191692595145425 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.698380760159214 0.485402021019994 1.20938811442958 1.07659373224683 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.347058384437731 0.280626549035625 0.381174717402123 0.173170270259983 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06813925759775 0.63600887972084 2.35330951862788 1.67517956615011 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.559320034981321 0.463056464317173 0.992391281805745 0.449848762924383 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26387648622223 1.13307779991018 0.129264806121208 5.25397025838059 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0259290930991201 0.104784378228685 0.000162583419853092 0.00064986077326503 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26302652055618 1.13249950447026 0.129805590345822 5.24876568081417 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0260866551154785 0.104555308740458 0.000199916021895144 0.000728331060040585 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26291331935867 1.13257290757571 0.130411999547835 5.24948677784173 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0269816481848121 0.10446364913355 0.000309892100303342 0.000943685738158693 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26265725410999 1.13282859389544 0.132001030732872 5.25210713263651 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0308808502023243 0.104282003514143 0.000767313308025644 0.0017965582219305 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26210893626246 1.13550814074048 0.14383091268845 5.28033749838767 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0601469244732159 0.122164932958231 0.00664426082849764 0.0110442772575338 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26310420137867 1.14060898867952 0.163158652371884 5.33433619275153 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0952256089278809 0.163832444614817 0.0203634510752542 0.031634261819492 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26407496135011 1.13376089315075 0.130046798299809 5.26072397038605 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0294816835844656 0.10501426753719 0.000546892690265289 0.00126468739628609 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26376426580273 1.13419559380028 0.132066466722869 5.26586523504498 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0380578515676969 0.106187561719779 0.00180586263215937 0.00309716732291728 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26480602039393 1.13716273556994 0.13902900882167 5.29708608652254 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0632437268631778 0.121541611902583 0.00768256325059981 0.0105542842372136 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27719923218762 1.15860387525812 0.217974570985626 5.53344617703632 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175102908637408 0.257231060087718 0.0815600325984204 0.101713699449733 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30871040384085 1.1831536745578 0.417155007639598 5.81967394775105 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.289359565469392 0.399035341078201 0.248041274177935 0.27340240607356 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5637152434566 1.46486847348797 0.299242644080406 8.81678566719368 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0137274311755146 0.105081486389499 0.000666622321764953 0.00422431515661774 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56406657066605 1.46481984427242 0.299921752799889 8.81613609005325 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0144758280857446 0.105431281952307 0.000729639174539379 0.00441150084416077 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5644032883908 1.46479306477867 0.3007125690501 8.8158149427602 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0167293601115917 0.10582491242594 0.000957191369781541 0.00473184541820505 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56503293428285 1.46480503919952 0.302662658002785 8.81615756617266 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0245667514093515 0.107353965842192 0.00195066306404051 0.00576057965962709 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56525803765571 1.46341169730876 0.311628801093869 8.80090964211586 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0622831279153435 0.130913621122769 0.0108089567290585 0.0172770685886131 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56674085284379 1.46288525321838 0.334855106500513 8.80458296253155 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103006907539305 0.169470265086423 0.0288514688385693 0.0378002523100888 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56431489722275 1.46515090499364 0.300757595743359 8.82081933828477 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0192908629322432 0.105472019266046 0.00127864236399859 0.00475803168000246 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56453652884423 1.4653213028301 0.302644884222701 8.82378589828535 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0311590174516294 0.107877993083604 0.00301854356561494 0.00643816765947742 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56201496959119 1.46377541640413 0.30565538847648 8.80675551577887 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0592478113611069 0.127588541073031 0.0102123144015754 0.0146755724596358 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55515631786132 1.45491473181971 0.41449740683688 8.75912675250024 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.173526507973077 0.254598404623645 0.0860568875806658 0.106823350682163 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56217464620502 1.4206724578615 0.709040738795492 8.47180074671594 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.286108221406924 0.390040625936644 0.239659587248375 0.280580060359685 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27274275364114 1.19862237917078 0.919678553683444 6.61219755914326 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0224637667339068 0.0741765319873729 0.00122207753474727 0.00203536455509504 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27259507798896 1.1983051880117 0.919931035036641 6.6106138584115 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0237827888330509 0.0741257216071487 0.00137857319542527 0.00210377416396908 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27167870765231 1.19714816385436 0.921653453610495 6.60188400511538 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0270033078709248 0.0746851458731531 0.0018076025575832 0.00233117542702287 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26776294020328 1.19237269854058 0.930902954255538 6.56444285097357 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0371427194338627 0.0783904915390956 0.00358729817694228 0.00327023107317495 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27370268739572 1.19175440663248 0.95058888810839 6.56507890449221 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0933171891428747 0.114880189935343 0.0237982992600348 0.0143452210636871 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28648216141974 1.1884389841231 0.994132599542961 6.53673305681833 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152810751787968 0.166275191627679 0.0668893114690461 0.0384877576961712 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26976826878235 1.1958746839866 0.926348431503822 6.59273417394732 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0325358214764817 0.0766905194416753 0.00275795571768599 0.00305618550836401 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26820986908788 1.19320240736604 0.936956452611095 6.57372855250615 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0521777748840618 0.0889902175059985 0.00743060635227037 0.00633658487122283 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26584177836884 1.18293877931911 0.972897571196379 6.48572732414199 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0966988363010543 0.127644983360102 0.0272354472463741 0.0206316520805186 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34537835030162 1.19591980247784 1.1944360156397 6.5874945568637 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.288855578420819 0.328781711666644 0.267683859864866 0.183904244309328 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4987330479325 1.17867495689706 1.84558084509549 6.38295493302815 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.486981740100774 0.534302583875216 0.800728806824389 0.48728165443219 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.123189739315583 0.0576662824905375 0.0938230369266167 0.0562596176219692 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104394204029702 0.0414502324938608 0.0448837993787908 0.00818066915048564 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.126852605483368 0.061852180269733 0.103212192554833 0.0672431157812304 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104922111667854 0.0420116587371402 0.045449486298015 0.00854220189680406 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.13009718385498 0.0662519986436653 0.110201528080075 0.0745678266875001 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105580610669655 0.0421644431486792 0.046353593778272 0.00677302078517492 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.132019870224848 0.0736422289808906 0.113567727984862 0.0776179827654724 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108555729571642 0.0497344265247999 0.050442790094314 0.00906444135560257 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.178041183244385 0.131171969996451 0.169243180710652 0.117968449494013 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148153606278726 0.107271688618763 0.0878616759039143 0.0357345295635383 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.243284353953959 0.193608067145825 0.261009794613785 0.172856490302561 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.20766627762551 0.165632146263909 0.161660159058275 0.0739718525386995 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.117544280681932 0.0564619182601953 0.0797811232064369 0.0418704494079967 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105843255950774 0.0476498792091364 0.0471736276623705 0.011544085784213 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.123003234794242 0.0719616041251045 0.0856531235390276 0.047888575137663 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111220149781808 0.0640415650387761 0.0525476427865705 0.0178582117846598 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.166447931197347 0.12480507114799 0.146627771104097 0.0994156749218683 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.141850108710355 0.104158269133278 0.0808890020432693 0.0337934630867328 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.384299710798604 0.315338497997139 0.535568630361829 0.305259604498055 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.334580416366783 0.298304735403191 0.393860980853581 0.213047613349959 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.642581333374788 0.471258126764661 1.33639814279296 0.577564509531788 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.538704391456913 0.493609165094793 1.01192915463286 0.517462800876152 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.175439941633384 0.145604203014349 0.134618361988067 0.142551063752423 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0953522966300516 0.0826562044711935 0.040902706410605 0.0180195807854858 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.180851285070547 0.150427956258114 0.140853998013714 0.151886393714778 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0917857833424032 0.0802867583866131 0.0364383455711185 0.0154729973323571 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.188262709039717 0.157196740958202 0.148534977392312 0.164543137328518 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0911601821707341 0.0811263267856581 0.0352149833283528 0.0161149884303497 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.197895044028761 0.165392156993029 0.159189436155514 0.179277237336731 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0962366105401702 0.0838043158720861 0.0386940018683339 0.0169429692465204 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.240885962629244 0.198557438034562 0.207720943284468 0.225233790367698 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12017952207528 0.101270706824467 0.0533438891299527 0.0205488381725899 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.300287622607558 0.233358679246397 0.281060528168895 0.271562404922738 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156844347619067 0.126535360936029 0.0861445574532498 0.0310919399030237 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.170238243895193 0.140866472862657 0.129234885022807 0.132275437170041 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0946044095174796 0.0811066198134597 0.0389215904671609 0.0158252956523999 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.175811013975453 0.14672602582757 0.134357433683092 0.136431567709137 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100003192857477 0.0910581155100248 0.0422679362702423 0.0195013441873632 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.199260188229294 0.162398035415935 0.159883087291717 0.145089073037955 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124644971214554 0.107267424479239 0.0588056031953791 0.0217365171676142 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.495232261511516 0.347828227984236 0.563329459854814 0.509644832693735 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.250133213366966 0.206956357858902 0.220628769795061 0.0875111977574823 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.768747709912657 0.444847346491009 1.0968946723519 0.822886482762216 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.368360944860683 0.32113440157167 0.456996812459911 0.208781106327955 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40633337219113 1.24393768888006 0.363611092654417 6.53127410073327 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0600990504448976 0.13268641435241 0.025143341572516 0.00624244667616502 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40672970596931 1.24410125873123 0.363992994210946 6.53261029115642 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0592370299380542 0.133029180503609 0.0236834961724264 0.00635598144255928 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40711323557261 1.24428730713674 0.364452304587592 6.53423301297302 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0602827492240257 0.133372009269282 0.0237526242648574 0.00657889145451655 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40770056126203 1.24474248492875 0.365687806130706 6.53847775984796 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0648503319299743 0.134017684099221 0.0251811451784062 0.00733615267105034 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41120872235787 1.24773695289412 0.373937872360674 6.56948957113848 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0933443784891462 0.144697929766575 0.0351932236673351 0.0129245732162092 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41507821050445 1.25254033340222 0.387622528373552 6.62228052757501 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124854502001427 0.17810909251035 0.0473583610177081 0.0321586578739046 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40672875105406 1.24361959474825 0.364965409183351 6.52816549444077 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0625227570325653 0.133226328586204 0.0232899017823729 0.00695171834500766 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40727124070072 1.24368541517621 0.367420291460234 6.52966442636157 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0715759324149315 0.135003518637152 0.02220290028869 0.00868044263188072 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40976531116297 1.24584830581433 0.376765683207106 6.5557015567533 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0993605629099472 0.14933035130639 0.0304501960243539 0.0166104657946634 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4231909311214 1.26773062876823 0.457219434807749 6.80414778181872 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.227975548713611 0.282140267258927 0.137902421234393 0.124905441681429 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.46314277299798 1.31207651055846 0.648385080814026 7.30390944069681 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.354912823675213 0.442908503838666 0.356020536738717 0.3405087411954 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.108571471031941 0.0773841969710361 0.0459324160778261 0.0479307766647008 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0457613877088149 0.0479226901169495 0.00900025747731203 0.00869093990219777 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109357438498077 0.0784020050062056 0.0463400221270216 0.0487598118775057 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0459714522827281 0.0471612782690444 0.009122819857228 0.00829022189501953 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.110922990749266 0.080462131397029 0.0470206899268386 0.0500847160272153 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.046425875374118 0.0486651922187558 0.00933636881305958 0.0087301123389666 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.112266290272089 0.0832859156507998 0.0478456993737177 0.0505919681149077 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0487403129951435 0.0513149362744721 0.0102172238355943 0.00870860018523409 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.136209518412834 0.105469576489964 0.0599310443302469 0.0598905813098615 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0754062951936957 0.0730625246871249 0.0214842191516155 0.0141421276054369 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.175300868445349 0.12977718136825 0.087676156533963 0.0743646314615193 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108656301830535 0.0943866224208833 0.0422698090394674 0.0219977352124809 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.10521331124826 0.0769695685806277 0.044757976228321 0.0453259607374349 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0483395053364198 0.0541574556261474 0.00993793414686442 0.0101494349887709 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.111502013123141 0.0881455760325138 0.0483700280877742 0.0505648119271047 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0551215233145385 0.0647738135117776 0.0124393903143856 0.0132413838345239 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.140513650991917 0.117563892611839 0.0653794126228055 0.0698801726581464 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0810416643746891 0.0850086356301023 0.024296350323664 0.0188190993488066 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.297108752642035 0.205617809853192 0.217524944636543 0.149299478586079 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.192164884175633 0.179696435891696 0.122546360036837 0.0670108070377465 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.478601980934386 0.276644077905332 0.509719484022203 0.260515234280513 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.299077171793868 0.277978012205873 0.30085087360549 0.144433315819962 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.346455992110697 0.30892069795699 0.391801888491779 0.688974434770574 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0590000432482481 0.0682568164650069 0.0155262488083501 0.0144909701472732 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.347241372887512 0.31003885399047 0.391222744788148 0.690605860806673 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0592898692425019 0.0697857743995458 0.0157049930905225 0.0149110297244638 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.344524854919704 0.308308111776787 0.389439150673149 0.683163572037908 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0604272012175191 0.0703314472502043 0.0162193233733356 0.0147058056048063 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.343659241191698 0.308761746667555 0.389530246563812 0.678798932394239 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.065096302293794 0.0719797842197189 0.018432666004172 0.014498608700905 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.369089921883378 0.326394076145409 0.396513337254729 0.688785393050979 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0900464599557742 0.0872987749398814 0.0295767034641696 0.0182664982361083 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.413249461926426 0.352381927436821 0.429224521074378 0.729912399434305 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130252078781712 0.11637841112608 0.058234940787437 0.0304452639659221 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.348630877538142 0.312720901340777 0.390668108182935 0.69153295809694 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0598422732157668 0.0712374433490753 0.0156546311200347 0.0151686724128089 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.353712662587861 0.316485662087162 0.3946487155969 0.690826778426128 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0697346194517633 0.0788137473071691 0.0194994383518145 0.0178015905991243 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.386325008946948 0.336619124359662 0.412359612736574 0.717609191404703 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102579293688391 0.0964406182039996 0.0372564325023539 0.021457319280091 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.550520323159587 0.404169792784767 0.619340834479215 0.841655807624597 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.229078110271752 0.195015802809701 0.181289028944537 0.0750519659113305 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.710200163094856 0.450370793616889 0.982621260374299 0.933707907665043 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.357347987039366 0.297139600106086 0.453414794787947 0.163022919212273 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0833149293495499 0.0259739619672336 0.0329923940351269 0.00857810583313646 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0773058326591952 0.0611379190622908 0.0250824819723262 0.0172571185222991 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0850984909811647 0.0278904940612473 0.0352245628445652 0.0105568780515006 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0775613393858899 0.0559844124128108 0.0252723259288637 0.0152206377455226 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0854123325454971 0.0292854857462689 0.0355186435834219 0.0107482447214022 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0769268020364198 0.0570862802652735 0.0247093595233989 0.0154991411935972 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0868744284547051 0.0343149967663323 0.0366984387076889 0.0115211653822415 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0784316148586555 0.0600231556250586 0.0258824731348424 0.0151066339870255 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109728782119068 0.0663989715984801 0.0548659231737367 0.0223887260808433 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.098946372486528 0.0811989063194882 0.0401124299672793 0.0211143906730794 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.148545448449279 0.102013008683112 0.0900262673834757 0.0395670680284535 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133962738650025 0.108869606306545 0.0680667279006828 0.0326341959921613 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0857551733408051 0.0325190999897208 0.0359695448854634 0.0113547949682855 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0777815700273319 0.0614499040679104 0.0257890313775662 0.0174118260952552 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.0956263412498471 0.0476315364899965 0.0461495289941164 0.0189198491491805 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0838721924218701 0.0731758525186505 0.0300364168324722 0.0205556023704721 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.121154125787726 0.0756426541512179 0.0665232084154626 0.0270216136030338 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109469668074541 0.0964557083843322 0.0479674851873297 0.0287492937625086 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.298907514881085 0.196880117048765 0.296454915713456 0.118969110434927 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246345299795466 0.19703470604285 0.206549113539601 0.0867546333687355 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.504053736110658 0.296313753941007 0.728034534333023 0.250151691909032 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.386490064398219 0.316243093212373 0.498110761402196 0.204332264942744 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.194075432551043 0.152952792121237 0.194603490733382 0.210528673409308 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0818420705488315 0.0670706988040098 0.0281444624125844 0.0145162910408246 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.197177019869443 0.155157406196632 0.200680224107675 0.216562961455957 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0812584421236085 0.0678539232515245 0.0277443151284273 0.0147662336784113 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.198092868615535 0.156167317130463 0.204925177632856 0.218777625982037 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0818517877583766 0.0679909740311198 0.0284346332672555 0.0133471809576817 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.200499294003342 0.15997192556764 0.209388401106499 0.218072163328964 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0860996198600458 0.0752278395334916 0.0315013266643135 0.0148393686413665 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.265637778242446 0.218624476517829 0.308834223036001 0.293811924571219 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132978430559182 0.120432776914196 0.0673734640860336 0.0308348137530255 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.404324818742923 0.317417477747959 0.564938171731643 0.526282111272948 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194441417610185 0.18006208182358 0.131575619756257 0.0649252857188968 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.205114165168095 0.169611861038647 0.211383293443244 0.243547016394185 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.083471818846741 0.070571506478515 0.0298402110032477 0.0165200819565838 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.21722070622739 0.186482169521221 0.222701115883269 0.262595137141567 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.092645016697371 0.0799215150425982 0.0366048524363479 0.0160542466253615 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.258626084470044 0.221822652992156 0.275649211155004 0.298148672621727 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131042749276628 0.115581545993873 0.0668260470269161 0.0288734731161599 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.667852667191153 0.473251129654015 1.1388533082609 1.00672985170633 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.334345025888325 0.299311755918664 0.368191746578301 0.193226788104298 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04724383317299 0.633552382536045 2.26872165097005 1.6762570569323 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.533594933836851 0.486374463688308 0.922416230055382 0.49160139790278 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26403853884871 1.11018647884964 0.109394384109186 5.0268369262848 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0682699673917497 0.119293659596586 0.0361616717511381 0.00131867848192324 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26418354377011 1.11017779355772 0.109844878786869 5.02678290756924 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0665300285159497 0.119468499866139 0.0336939362331671 0.00135394265503588 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26433169423515 1.11019820859901 0.11038977696993 5.02702940558316 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0701558280378747 0.119660084601534 0.0368093951690147 0.00149721192173653 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26473713266424 1.11032600019177 0.111760107543028 5.02841673699005 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.072519414516678 0.120269385010461 0.0374069851132689 0.00209786232806386 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2641264648715 1.10999893342795 0.116955137457697 5.02443290899157 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0850734639970819 0.130282093375871 0.0330605087718777 0.00879019232960234 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26554383318354 1.11334106963817 0.131757270666537 5.05911670607795 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102033574413527 0.159874088110415 0.0328240654892094 0.0231747563614857 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26252635223345 1.1101132169108 0.110266676871811 5.02648804762354 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0695593364198696 0.118068814298528 0.0341167160780413 0.00197100821572509 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26345332250711 1.11297928437586 0.115690227513111 5.05674686980858 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0787101522664642 0.118124238581105 0.0370233873428173 0.00388854746427442 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26013571466329 1.11477646121157 0.122558553265862 5.07694448746724 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0965065707471838 0.129153663929168 0.036437587192032 0.011685683469011 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.25491310992463 1.13611740941002 0.194813214683322 5.31279652457406 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201200679911159 0.253684410585735 0.105140018787817 0.105410870233517 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27605400036638 1.16044263206327 0.403668553238038 5.61725958634772 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.319604800760498 0.387434076521263 0.28671331267867 0.275113985728999 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55669770073258 1.44216649346305 0.266953043105088 8.52760005403678 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.052490421273549 0.122149467426104 0.0227630914719874 0.0065442884575437 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55684649283512 1.4420375444653 0.267746359538307 8.52600824087209 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.054148999187997 0.122246412368239 0.0240080429195185 0.00668560310584098 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55746895905467 1.44192525920641 0.269164692367541 8.52465872144701 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0557142543191669 0.124452157021289 0.0248197808658617 0.00889816650721905 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5578475786459 1.44174393398474 0.271074778809534 8.52260228489919 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0578993837414876 0.124717639504049 0.0251409110736546 0.0080535539021063 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55857947930666 1.44167519533244 0.284634788725 8.52387305716813 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0795167093959717 0.148023314719465 0.0334361775741921 0.0200789716355131 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55976573962561 1.44255562750008 0.312877060298731 8.54395278525817 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103024005059346 0.185691276444038 0.0418015270680931 0.0411807148694723 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55736084188976 1.44163045979232 0.267194044732954 8.52126821981907 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0528247568818451 0.122752420116908 0.0212456344787234 0.00685185513715346 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55779326268064 1.44096299278954 0.26876049684611 8.51443481513542 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0623085824457393 0.125197066562858 0.0227806146803874 0.00827823885853557 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55765518598381 1.44062428359413 0.274115982584732 8.51352021398067 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0947805485865521 0.14155311029329 0.0408141419128232 0.0180431093796194 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55454088335592 1.42600411825914 0.407177526576909 8.41577228586836 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.183258763022892 0.253126450791548 0.0938399781126085 0.103926927337664 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.54699603808856 1.40354084979429 0.605731100670681 8.22443877830856 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.296379692037769 0.371732483158445 0.248697202425062 0.263852908957596 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27910197932967 1.1856010201109 0.901727372250805 6.47942617029162 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0410984044824911 0.0886934278087839 0.00747644620054133 0.00244938326918002 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27869549619404 1.18505180213294 0.903104533309313 6.4746186985121 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0430110024932992 0.0888172327822608 0.00905571234367064 0.00249409472081008 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27909576056684 1.1851753829783 0.903140104563013 6.47573650581087 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0462597048192773 0.0900760337300188 0.00994814953392698 0.00319480725086651 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27723340644645 1.18251486907343 0.908951172682057 6.45350083209045 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0588242807730211 0.0928507982581513 0.0143419106443224 0.00430853069871004 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27280071559663 1.16907888325986 0.943625834932436 6.33567497052176 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110567355350063 0.128023623077676 0.035689904107963 0.0153455223325233 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29310454086391 1.17422766435871 0.97706249487584 6.37681829360162 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.16608563117655 0.182236159043315 0.0804179786592815 0.0409647874362982 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28045266428963 1.18659778599043 0.900755425090562 6.48770516705429 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0504345124794374 0.0911426637368134 0.0105353100712826 0.00348413615142156 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27667493980085 1.18109198178812 0.91536314089208 6.44438693566385 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0705783603685285 0.0996496985292018 0.0184959725321906 0.00595124928925467 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.280302070548 1.17797524070333 0.937745124898241 6.41772908082238 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109428917643901 0.13123780527231 0.0357547250537638 0.0184813049704988 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33383253271773 1.15430776454104 1.1821872863992 6.1653006116567 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.291972453775602 0.313924330034557 0.255343629527479 0.155784486719424 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4834972682785 1.18120057736746 1.67010419208504 6.38482468164466 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.481251081966667 0.502496827149242 0.731457075257615 0.413471424720779 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.222595223666951 0.139371653330441 0.27459829483754 0.221095491879265 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.160104228687173 0.0927583849788491 0.11117044347485 0.0591197511849162 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.222745684981404 0.140510987633127 0.274919639102523 0.222465239346303 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.160387593677978 0.0914731034068907 0.111559226494966 0.056320096207946 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.222912087124963 0.142140499398144 0.275374449584676 0.224211022892715 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.16077948577416 0.0940782914961027 0.112193257900088 0.0586687278223458 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.219800421999683 0.143213653886514 0.270379016765513 0.219280031033183 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.16193103665021 0.096397826931123 0.114155796381251 0.0551529296167167 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.238570436092599 0.183262933113161 0.300030690268265 0.254037237540772 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.178576919892822 0.129193080085964 0.140246379386817 0.0653319768535933 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.279933554480773 0.232681803924288 0.369913566443511 0.312369659075338 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.212846933727257 0.183830745853692 0.204445838428251 0.123754788382376 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.224045597510018 0.144038648604653 0.281266948970452 0.229793942939586 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.159510113522204 0.0924212699677476 0.110714851996959 0.0536091379321799 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.225312693621773 0.150609071014774 0.283183960696869 0.233324061634051 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161133137258351 0.0946122611754767 0.113383607120129 0.0466653106223957 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.236740045578766 0.169601721715057 0.298342644210767 0.234507382183231 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.17965947356536 0.135165078423818 0.149223594722794 0.0962433689819358 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.416672497079787 0.313992625847703 0.622886987700211 0.393730490339212 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.315383942631711 0.300996361782763 0.371392278092605 0.317658242529607 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.655323300729459 0.442653680798597 1.26541764684321 0.607629804551768 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.481252297337661 0.534621055851131 0.834919521945294 1.02743469768411 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.397829971488806 0.339254936000629 0.373103649482635 0.632128855967435 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.140897689947811 0.142050725183127 0.100922509922797 0.0810081088136304 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.399613567934103 0.341270465853578 0.374288685683363 0.637243999769778 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142563210434275 0.143763605963562 0.104337469686533 0.0844025143930463 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.397465488865116 0.339354177217305 0.373565977704389 0.630022395875479 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143820793889665 0.145100443783769 0.10446152021233 0.084889744513383 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.409327107537658 0.348436038822878 0.383775155846043 0.6562953985593 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142748833018849 0.146355138120596 0.0999915664609799 0.0760551673669832 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.437731558569849 0.362636843645492 0.429332168785838 0.684163448122671 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161110667344873 0.169730501480432 0.11956001515886 0.0888477501428386 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.513260461214059 0.404591692731834 0.540384412626207 0.804929024173557 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.185103123105433 0.186337442912938 0.149352712156332 0.0931033890500939 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.401199617327572 0.34344664638768 0.377611985634622 0.642098118940774 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133056996632542 0.145610164845311 0.0882478532749342 0.0761185778855866 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.41013687485838 0.350061081389244 0.387636164130264 0.658705429248799 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135455015704904 0.149909318813879 0.0898953696349234 0.0721760898869678 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.436298694670536 0.372703139414277 0.424013699069421 0.71918497031269 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.153617738686084 0.166222249638683 0.103403934617341 0.0790790831442751 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.619209988411188 0.455895848354771 0.78625435466575 0.929727399893927 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.25220229575537 0.268009848618903 0.275855749210415 0.18540211809697 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.806821123985389 0.529156194657345 1.22918459238873 1.19564412877379 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.358442600699609 0.366876333608891 0.569948055844086 0.333866761446733 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61466169492202 1.42823631091572 0.853516659412758 9.21643506680604 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132764460438336 0.232783772342232 0.140655583674625 0.247812189391281 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61493892192983 1.42843624646349 0.85306014609467 9.21854329057053 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129360482912529 0.233105981857223 0.135022693964687 0.247716332394735 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61500874291592 1.42869024423181 0.852656218561186 9.22130520599182 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129239335335705 0.23612178673822 0.133253816886905 0.255999284312823 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61520649443732 1.42937311774949 0.851473488805348 9.22893316561917 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129778537289361 0.236935122341191 0.130749777591172 0.256355818044512 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61323886711877 1.43487494434277 0.839996632116188 9.29192662980147 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137249684866249 0.242235367261284 0.118436337654705 0.254343820785326 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.6064453648368 1.44495563324488 0.82047623816594 9.40929705504875 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.162506738735816 0.265086602048954 0.162167863974083 0.295815605540705 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61146957421488 1.42730058768877 0.846232832022716 9.20436132811649 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135683911168765 0.231697202774969 0.143666484262065 0.246964639857679 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60684860303561 1.42666537145584 0.838201167955696 9.19823144854954 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144036556497521 0.229847019855785 0.15339011230772 0.237964801662667 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60163681952822 1.43103016951925 0.858891539294131 9.26787603126344 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.153969826855016 0.242696421527236 0.156508012036673 0.264043992745568 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57053586755497 1.45871141063527 1.02354752378088 9.60102475026461 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259513234147464 0.331130567848755 0.361088867156461 0.428677793800727 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.52318661268544 1.49367814584906 1.09339419592403 10.0668285989394 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.413020309516793 0.494201983403214 0.89392126014597 0.896912707505449 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.169258678822854 0.119761428611721 0.0791298445071192 0.0871058785657319 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0788517236459153 0.0764608475873935 0.0295805311401653 0.0192015674496441 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.169654395618094 0.119637252074738 0.0796642328847581 0.0868971719112499 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0792773765606219 0.0756253886254095 0.0295453041014786 0.0183750567906338 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.170744478075339 0.119770537141832 0.0805000452249094 0.0862425137738098 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0805029021816444 0.0751070646679135 0.0300404463211813 0.0179219152765458 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.176502945908839 0.125388352534016 0.0842751956442432 0.0916697970868319 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0836344734646416 0.0765888626789906 0.0317305731203431 0.0178897266058046 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.195160619936297 0.142625513373064 0.0990770117166118 0.103115935469578 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101617284348536 0.100048891248224 0.0432657692015735 0.0267340572005421 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.220935592566162 0.161049311921384 0.12135454125217 0.114856821528448 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13107969465433 0.121860663177652 0.0672151060150918 0.0357806853540473 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.170652424509728 0.120614330544966 0.0796648617501186 0.0870115752710823 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0793764285269679 0.0793033901384297 0.0289964220317983 0.0205986071060555 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.172121012838543 0.122530677310208 0.0815316554675579 0.0855821408423235 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0834866076973145 0.0847726532095898 0.0308183027849741 0.0221836540697345 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.191359681143755 0.141994447774256 0.0950544072179392 0.100950836477462 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0971666532900779 0.10744541750922 0.0372208999156606 0.0308790517359813 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.310222952880394 0.213641430511499 0.21682527474055 0.170717403309004 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1991312057642 0.184040615621229 0.148727813174641 0.0787490031348839 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45036734099144 0.271238445269284 0.438483289976551 0.257271150474825 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.29690790004855 0.282819065578005 0.323233179262145 0.176711785118919 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.449545980766871 0.391463362407813 0.537953632294734 1.01177568488057 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.094816498808172 0.0963464010328175 0.0355241326858028 0.0215113895571248 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45237776027895 0.394482258195048 0.539005573840337 1.02155369407351 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0936921138537696 0.094204903297502 0.0350140555904421 0.0206061734618567 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45247086100629 0.394917283338215 0.5379700611884 1.01984474279658 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0948883825471472 0.0957320682898744 0.035473503639039 0.0216750294474445 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.46042296969017 0.401850873236596 0.540230088716563 1.03860435918013 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0943464826787394 0.0968258085250508 0.0358623279212082 0.0216183198598955 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.479165881608181 0.411919369313237 0.549769911070371 1.0436004230804 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112037893573629 0.113955358021946 0.0470935358838352 0.0296273989408124 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.512366802029328 0.428305607024969 0.572773677210671 1.06432901849613 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.140281614661875 0.138164966642064 0.073380296003401 0.0446774625197754 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.4523858848711 0.39542144831747 0.539441740239178 1.02125755210662 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0959293137134648 0.0968377522483529 0.0354318152577718 0.0215630501287995 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.462457308950244 0.406168783631742 0.544052842551678 1.04957204425944 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0948555374063703 0.102334143857018 0.0336862941739146 0.0236779475023209 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.471712738151465 0.412457725410629 0.551046235248136 1.04273560676408 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107569146569306 0.112650721269838 0.0414565739209632 0.0285712452927681 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.573850738316011 0.462196147523053 0.662228985390609 1.11520798094656 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207466962430874 0.197174737008646 0.152525858618339 0.0845837709217457 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.688208743146533 0.495522714915838 0.867420975211981 1.16364233441538 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.315643141965229 0.303401907497212 0.363895786681661 0.19646843335559 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.162131899815252 0.0950472020360063 0.123133904650538 0.0843619305390945 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110526040965601 0.110470727750123 0.0535919579557667 0.0462358984274889 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.161089687266319 0.0944658921568234 0.122540933732723 0.0830172267553705 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109595308388678 0.110669220814669 0.0528531923119217 0.0466604450897665 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.159635178690197 0.0937202736132192 0.120578835552041 0.0801640115242827 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109826494463959 0.10643696921092 0.053045476862626 0.043143036226277 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.160617959188061 0.0953738361900211 0.120618999132993 0.0782592485589478 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112765483933931 0.110711511738693 0.057040135052749 0.0472411533875853 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.173159117917016 0.114099895227404 0.135326622346067 0.0841762501490581 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123681181567032 0.12470468062017 0.0674315805443244 0.05459587534657 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.205228362188339 0.143735685200493 0.168327910978585 0.106148722212148 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149488274919627 0.14768218051202 0.091375975098741 0.068004330674069 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.162360016217716 0.0964410297411841 0.12303415352944 0.0853486964905417 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110911444565208 0.107474540408707 0.0538688773509418 0.0450371343864873 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.165691309713692 0.101892106513921 0.125490395104099 0.0869093423556632 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11414497042263 0.113717774943166 0.0572652106979554 0.0510042964074062 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.175143898272963 0.114019050454407 0.131879682372715 0.0839644693351522 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131983496913021 0.131786690636447 0.0734972893401529 0.0652658573312622 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.306754534831727 0.215057615894096 0.303136922937914 0.179316478434484 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.24195672086075 0.215604877265245 0.219682496134369 0.129539258009457 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.461718934578726 0.291105152083016 0.598901791596459 0.278982353072105 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.360660723813908 0.329519219174015 0.46611706812877 0.300019596318786 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.256952337634447 0.200757850194836 0.291205893894043 0.311563832946055 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114765981043971 0.128525868981701 0.0584633824480149 0.0526941266833859 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.256438711236187 0.200069411890428 0.291216888208094 0.309549520356302 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116844715936742 0.124485198101332 0.060632127182538 0.0499112535902421 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.262229611831553 0.2063444177354 0.304358106768439 0.329071412617576 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117542215014798 0.127563890776814 0.0613486159727773 0.0528978788575241 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.25960479991026 0.204316833007296 0.296625538392145 0.31253479420422 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11941281721082 0.125833955506627 0.0629700522797219 0.0479492659864715 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.313301584807759 0.251243829875074 0.3901993746873 0.408865592443903 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.150881126739614 0.149506535940678 0.0947499767121679 0.0585551362933499 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.395125929184916 0.305454200111257 0.558493304580265 0.530336201214351 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193240552393424 0.177025587147836 0.146992133779157 0.0680480474813737 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.252207168994445 0.196212994513226 0.283652622538227 0.292605446075063 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116334009212848 0.129133171765241 0.0598445218989882 0.0539286098826667 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.251216525537206 0.194741237519363 0.273833693933352 0.269065893404165 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.125403610069639 0.131502181836014 0.068473046804285 0.0514713329025367 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.308613727594266 0.234687145568708 0.365247524281711 0.344892509098449 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154122488650531 0.146599635570641 0.0965930416037648 0.0574894707989361 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.635621149831713 0.432117986589134 1.06124055023732 0.906729150607676 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.336222025626154 0.28867893294515 0.391142434681732 0.214117037535085 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.919633271110757 0.556224592744521 1.88303253013142 1.33988268084911 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.530844354568685 0.440053180431158 0.981213931748832 0.480678710680871 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59466968542339 1.38754201726665 0.506333067511856 8.2111488550043 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.125263328579477 0.194652934914523 0.125721025120671 0.085722545331206 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59338690971061 1.38739952043085 0.505845488811328 8.20956848791633 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12543406647242 0.193899575704687 0.12587388586761 0.0854661619960337 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59184445051067 1.38732618862251 0.505632839800424 8.20883922418281 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122700490039461 0.191977246353988 0.121584068798846 0.0821699528496206 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.58728167018331 1.38728496987324 0.509186111527801 8.20848963667751 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.136855525387305 0.197454795998413 0.158862261055626 0.104450133981399 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57720020565585 1.39303759967231 0.566621343754867 8.27971055970829 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156453359969122 0.200584397216409 0.189703444549443 0.11459451253832 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5619737343433 1.39662889034107 0.607954331330468 8.32495070610639 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.173734630124965 0.214663217836067 0.208045538164844 0.129144703828824 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59445423346847 1.38729744456326 0.51130950964068 8.21158732079381 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127591120225875 0.193797794092693 0.126731499902285 0.0836132852649038 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59247074276748 1.38746123099181 0.519112698576611 8.21710373665505 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130587203897166 0.194954552704121 0.124493226752728 0.0846761394863541 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.58567702181193 1.39073732386678 0.542715733928437 8.26152104834536 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.150335495676807 0.20590787352367 0.145519526272482 0.100524447543121 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56202011871099 1.41036966514207 0.695887201260565 8.54235228086834 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.244141118538768 0.279245525067209 0.291155912075693 0.179551953764602 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.52257953947229 1.43664757735042 0.88167526944765 8.91920340645459 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.343868252182599 0.379491902839803 0.498351806130986 0.326458153697159 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61879250787344 1.47412442537011 0.467631869389758 9.03595621651057 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0721968758267251 0.156414623142256 0.0361984932085119 0.0196314532362831 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61667438014823 1.47146015991858 0.469247443975321 9.00712819394584 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0742854768869106 0.156321579115069 0.0380614217007524 0.019507580817052 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61526383689735 1.46901558283632 0.472979884907738 8.98017631768838 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0772362795182166 0.158272040543082 0.0403188769979779 0.0220463209690459 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61646973467879 1.46841855002765 0.473698660241252 8.97066216963495 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0804838427897738 0.160797051684261 0.0417946382015625 0.0246454512159847 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61860290659619 1.46168533131351 0.522049413171538 8.89061069769895 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109186462683218 0.180015570867858 0.0633823337299057 0.0471399279492681 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61230658603785 1.45722820213365 0.525047492099461 8.84065588439097 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13264896421877 0.197411790271467 0.0821325706411878 0.0593492711790221 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61529370070136 1.4695642996808 0.479273955856059 8.98641544462292 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0729185004147517 0.157277115219942 0.0379017269629324 0.0218347211812132 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.6161753635634 1.46898854888927 0.49839655718969 8.98152275379244 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0780669575175113 0.158458986241033 0.0400079445858249 0.0243800988975671 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61317304744407 1.46625540964663 0.549692445169941 8.95628681215314 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100317189141958 0.172268277406091 0.0585911737787882 0.0425591673076651 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56234365197805 1.4472991143926 0.744312906129061 8.77798896489442 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.174870155865822 0.271396496460349 0.134674257553434 0.14116448552704 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48727333674459 1.41776220682356 1.01979438678342 8.50139373670316 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.308127526377763 0.3909937044939 0.483363654645192 0.397490809367311 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29290165932501 1.12376707034702 0.996112899045607 5.9355222366313 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0991532097490801 0.144195106614726 0.0455090560448964 0.0152559131328843 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29049147805049 1.12178462097709 1.00109876168686 5.92131445333181 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0990824847168512 0.144018753196631 0.0458180439878007 0.0154237099720435 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28883145816995 1.12064266894341 1.00399066385448 5.91296673007505 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100166115508798 0.14543067468091 0.0460855054111622 0.0169310810734163 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2896588036093 1.12185627266953 1.00356864833275 5.92474269509082 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101994410482687 0.147214028839897 0.0449847250616683 0.0179666600780828 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28490647565299 1.12094852805384 1.01016666930011 5.91746488560324 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132467174745324 0.16461906089665 0.0704437958814812 0.0254255021416319 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28682232059954 1.12622960263274 1.02865655863345 5.95494730660394 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.17066397106736 0.201850038994867 0.102822680389301 0.0629819831658612 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29632535376065 1.12819346788775 0.980005190272014 5.96621948425425 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10306713999193 0.146022139116751 0.0474681443382003 0.0160245955639314 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29224228564708 1.12561112363242 0.983172897714035 5.94085695588014 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114152259000349 0.154769762646169 0.058273011532263 0.0367214841775821 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28774460917869 1.11979619037386 1.00240064694527 5.88793418386595 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130879499794203 0.171606267567905 0.0609884560547037 0.0433947088070773 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30988352447622 1.12289878155246 1.10838072472752 5.85774840507796 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.290071333148028 0.292072131162771 0.348948484221998 0.111094647808158 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3833154998473 1.128349683864 1.42411132170096 5.87119454246136 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.451703255870043 0.43366327709512 0.808300865924963 0.283871452433834 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.224685093532388 0.159322124554012 0.366165408980972 0.391936458509796 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100063750234173 0.0358711505492138 0.041004702280001 0.00457955824732831 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.226389519751527 0.163010332844525 0.370415236805596 0.398630604305632 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100165895052678 0.0380505180308223 0.0414079449296393 0.0050769931616371 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.227604992031335 0.168799981131149 0.372402647008656 0.402470982527189 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100905057056058 0.0439940981690075 0.0428224744887746 0.00655755870925841 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.235079865149974 0.186086304037246 0.380439271549629 0.4125218930538 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109077481565173 0.0633283272551371 0.05082213629876 0.0123754923922207 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.324077230013737 0.27509339578227 0.493617671232705 0.487079466147944 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.197253141112583 0.162549358600638 0.147307686518758 0.068138811439544 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.441733658547781 0.368460396105096 0.722977307791651 0.611454191459665 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.306021827837079 0.268737572310246 0.333062282178813 0.170598754763912 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.229995380080677 0.178224088684598 0.374323048549074 0.405785157077494 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104490947182786 0.0556162440811094 0.0467438828811243 0.0100229908224217 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.253440705985354 0.212614400269916 0.399488415267061 0.43165213135626 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128038372451491 0.0938718979672673 0.0687997875740914 0.0255190509511205 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.333102366933811 0.287597969455645 0.51036058229426 0.505167062491144 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.204904072533384 0.178821386249067 0.159542773136721 0.0825610983444331 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.762415746157224 0.55454860654883 1.7867890781772 0.992350185132686 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.553968820658602 0.529686856385537 1.08322559053544 0.58931876051595 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27426119355758 0.777673923670236 4.49740704150291 1.72139851241427 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.905062535649276 0.882444162529171 2.9541426380736 1.44580412344418 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.338279905067526 0.289754572284366 0.283405222446804 0.510854880891171 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0705501487154311 0.0529066924493679 0.0197374029472968 0.00360075312982636 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.337169673271238 0.288880459010622 0.28305018612561 0.508377225080818 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0707736425534082 0.0526314248725673 0.0200192924359323 0.00356365891177924 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.338976228464113 0.291652554275289 0.285163537893565 0.513230087225887 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0715806648243963 0.054269613855412 0.0207039469243582 0.00380626777464337 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.349910785654553 0.304732155791216 0.296937752528687 0.537565874175644 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0778121852995847 0.0648348821036397 0.0241528055621237 0.00582145783421224 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45008753504011 0.377917613575557 0.407338862228156 0.698286006927472 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135361722986167 0.128755154252947 0.0643638437178015 0.0306526864931921 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.573713258067373 0.44572392477352 0.584059061176351 0.884306926803585 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207323094765939 0.20275238480448 0.142430808662139 0.0825033374198803 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.344513901903727 0.297732565635017 0.290597768973504 0.52116247381775 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0748125356034364 0.0613241823269649 0.0226948094694808 0.00533678071045065 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.371915890339376 0.322861825308569 0.31920802201834 0.567297782500357 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0926217085677002 0.0828225782375964 0.0333290951291036 0.0109741485938561 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.464466787074158 0.377728443104764 0.431490486830386 0.689647459552795 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149038147746946 0.138098283211343 0.0776640684111746 0.0359463568904852 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.864567867584181 0.533703435742797 1.24468350308645 1.18245750441723 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.399335021425449 0.38109522166945 0.514039545977367 0.293507397439221 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.23874541425703 0.628425607020089 2.62880442966633 1.59028304328837 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.644087259697291 0.618221202254687 1.38769017254571 0.714421460808179 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60432557736915 1.46279433792472 0.886705396662791 9.39263600081021 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0318699630141929 0.123166989376859 0.00129194214974923 0.00407144504097154 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60427455403148 1.4628349828877 0.886140279905364 9.39323326735234 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328208446386515 0.123180577507973 0.00143565868334014 0.0042180348739118 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60431750466743 1.46298535377213 0.885631666680214 9.39517591775361 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0358709646110958 0.123624508359882 0.00187712236780314 0.00465516918772537 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.6046238343239 1.46363481623029 0.885018554222798 9.40352050023598 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0460973709834728 0.12606932122765 0.00375791324832015 0.00643105823081493 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60917160987614 1.47072212689401 0.884971988347625 9.48815899096597 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103020521212144 0.162530681334904 0.0254755092043649 0.0259326610662666 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62024681416778 1.4830865561318 0.898045225698701 9.63503676192358 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165948888042797 0.22455217588988 0.0730001345371681 0.0700961333968006 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60511147060316 1.46357602633289 0.887266658922733 9.40320338229962 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0425865289996572 0.125556729127993 0.00302802730495069 0.00557155907183503 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60677745399476 1.46587330513001 0.886489920820164 9.4296526680517 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0642375687632034 0.134206252533519 0.00848433953123495 0.00997662132741696 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61378429696353 1.47521433495666 0.888890058756836 9.53765767431035 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114975467141504 0.168401411544897 0.032307120367162 0.0281050343727421 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.67745955545739 1.51270433937636 1.07421245380296 10.0076045020291 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.331894064721271 0.381602145855302 0.326482762844934 0.241174046794811 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.79233686293547 1.53677332356033 1.73129794349285 10.3106739600102 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.547356228239607 0.605376163170118 0.963032710258004 0.644012023154704 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.186844097969043 0.157456032227519 0.108818089410689 0.178277138515017 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0360915047743329 0.0194518125151855 0.00557699490933294 0.000814672521843984 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.188345844961673 0.160713806221603 0.109620563663505 0.181445665274563 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0371129078450671 0.0216962784709888 0.00584524990323965 0.00100878008815986 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.189517593081292 0.164418633468618 0.110123078347768 0.182917759685301 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0403834407147043 0.0272367953135501 0.00670522583167943 0.00160670910874047 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.200106550116709 0.17641214422584 0.114969988437672 0.192139804326008 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0526384155625479 0.042275495573141 0.0104865219884573 0.00394538704834261 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.281356105884919 0.230137431060046 0.174530141196054 0.250310455324166 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12272128177868 0.112590527026124 0.0495261678963519 0.027987196878482 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.379186772562194 0.274479025917758 0.290957188033401 0.315501963701744 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.198489194678912 0.18463517803657 0.128131702453651 0.0714586300232743 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.195411126328572 0.171698277967736 0.113147253695211 0.187890211905665 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0478823344616792 0.0369654758850006 0.00878981474827304 0.0029131831152549 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.221973586496017 0.193543289012552 0.127932981163683 0.207325166178505 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0742724498042152 0.0647688754139854 0.0191638681097796 0.00917786118068413 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.294952308189219 0.236350011754857 0.189202341458364 0.256951264918678 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135411011909589 0.123610873238708 0.0593947990269965 0.0331954712574033 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.642134459477349 0.368895227778366 0.829679181729373 0.502101541173865 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.382875082129698 0.364480004556597 0.504112658472967 0.238627973245944 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02937170069038 0.491399863898575 2.19167107820874 0.81026757099267 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.636892413237961 0.615157822067527 1.48276797665196 0.581881415458417 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.463900180748328 0.42649505624585 0.674080008281033 1.31710924524457 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0382729695709914 0.0299838433137969 0.0060019648784714 0.00159739107912043 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.465659047528905 0.429989012496675 0.674462074883654 1.32545191056229 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0393530254110108 0.0326898727259479 0.00631172318784921 0.00184136760025668 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.467009297199151 0.43331338692093 0.675638556120887 1.32831011534883 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0431293390980751 0.0383021144940137 0.00757064400189352 0.00247605052074064 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.477947674481957 0.444399302502926 0.679938993369448 1.34555483373025 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0567524956461866 0.0532718987257332 0.0119209993519038 0.00513281501574519 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.551599702256041 0.491791613180841 0.73540215369052 1.43763821108138 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130423143810026 0.126350594407078 0.0556844311327149 0.0327235412164993 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.639189462644562 0.528443220777313 0.85133118646593 1.51241659371785 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209299462352865 0.204021119026036 0.142860237677124 0.084150606380344 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.475981460045639 0.444386137586785 0.679411965910293 1.35346683676458 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0506086719890694 0.0480724135984667 0.00991923744477931 0.00410601955949196 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.501488577913515 0.465638925112871 0.692940966285609 1.39485453469262 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0770442187110585 0.0761882821349021 0.0207254725744971 0.011362918813787 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.555771445839282 0.495586037347176 0.744756301726314 1.43353252458308 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.136717515989392 0.138986855787162 0.0621368983123112 0.0396423425158689 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.876217476226639 0.597145574016608 1.41564868785247 1.68627827708568 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.393190284980369 0.399053909056274 0.54010526961506 0.289543175897461 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2496857935364 0.692671953841329 2.86625243564718 2.00712812523634 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.659126432492181 0.66563780391736 1.59167655544749 0.718342216115415 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.18882856208588 0.136337917507629 0.158350043633922 0.174867069241533 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.075441409209972 0.0366376470239241 0.0236053888005708 0.00424554776458336 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.189031178741352 0.136913364524855 0.15862114177834 0.174935852430242 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.075373121377675 0.0369878795690549 0.0236314089012181 0.00417707309848483 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.190064526027883 0.139309657756531 0.159770308272131 0.176609177925774 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0758989053235771 0.0386218436804166 0.024126262654469 0.0042802580288644 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.193066403309861 0.14541582759351 0.162999377037054 0.17958378100534 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0792307201811624 0.0451934690755403 0.0265331147546436 0.00527412692278417 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.23690754361368 0.182649113895108 0.201309544183743 0.204776568966692 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119024981779133 0.0871360089933495 0.0540624336381776 0.0177885051336025 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.303767583223379 0.224743822709315 0.27613337091321 0.246465236251036 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175675538514713 0.136026009458207 0.108548084434717 0.042504058410527 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.187988356234666 0.140082992362587 0.157639142305393 0.173356750849875 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0772971189525281 0.0416450773777211 0.0252929924765583 0.00459748150304512 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.200145191332642 0.154479724394101 0.167487604305414 0.183284336040699 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0880699626896431 0.0559465361770357 0.0321160293313017 0.00769712850915029 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.246236650649289 0.189118761322565 0.208586465877062 0.211973200874694 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128776926698301 0.0929507905399928 0.0623469845823183 0.0205309228363118 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.495378581695247 0.308939083905626 0.60717829929969 0.359168934152889 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.325121052337921 0.258220548790608 0.346774270188365 0.144769996517642 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.768214452991149 0.395358435109169 1.38431782549641 0.515627118677261 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.508989958623064 0.42837173319281 0.858938489526713 0.354867889103399 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.31756690678263 0.278023565979168 0.365763023395659 0.560473612814386 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0672824973117966 0.0492088885121437 0.0186629882172975 0.00217573987830339 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.318940503296474 0.280053627200247 0.368830228609821 0.566353417643262 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0680403440349516 0.0504004343330202 0.0192088877089307 0.0024503955642363 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.319890696047961 0.282387360872752 0.370354462651016 0.568135598755522 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0709571191236365 0.0536021056778587 0.021011411793014 0.00321721074957535 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.330915656607167 0.293795098658802 0.381698606455343 0.582642976022665 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0834543800970141 0.0668149770161474 0.0284115732986152 0.00643065802078805 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.457173249753168 0.383761937918742 0.57794754237121 0.798115596700071 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175266452188249 0.151550106072376 0.105637616953765 0.0451952079927129 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.62430513883237 0.477861772992052 0.927113310255704 1.08796088045934 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.279585260352307 0.245733362837309 0.254941936106912 0.123399319854197 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.323999324199472 0.284200284294228 0.372072651931431 0.560127893347724 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0785885049426252 0.0605290009519266 0.0255167485985568 0.00479226821601834 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.360645473775198 0.309785037901715 0.416316795105745 0.605029606524896 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112109448940585 0.088741387692571 0.0477139305199905 0.0133213413255318 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.48691434486559 0.388003875880287 0.626023257679368 0.808092046503526 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.197412304668402 0.157759316957183 0.131265439686466 0.049036204681046 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03221729803531 0.615093270454706 2.14697759762801 1.55281695300793 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.554301321113484 0.455943769728953 0.995097344289752 0.3969547113709 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57098092448801 0.761349229574925 4.73969591436826 2.18284752764648 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.899594072742569 0.764447441023959 2.73101293115432 1.01245039547784 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53822985462022 1.4262581198591 0.689401215122727 8.79462679278211 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0216353460053035 0.0905462954121616 0.00022812901688998 0.000955071229948966 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53845688849581 1.42633086843559 0.689573553106188 8.79557919951322 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0241901297891406 0.0907798431046301 0.000397126268934777 0.00117195428715702 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53876492853537 1.4265198729815 0.690096871086661 8.79809259343059 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0297357754397508 0.0912927127469255 0.000943727596178452 0.00185382480289159 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53971324891427 1.42725345480814 0.692217400405666 8.80789245171123 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0455286574124972 0.0969009419327258 0.00344629629916567 0.0046365740744627 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.54784597184445 1.4347645508272 0.716886469669313 8.91057667421163 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121953948122903 0.167803200419916 0.0355453764463364 0.0385481379287949 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56387493234034 1.44499154744984 0.775489914962607 9.05937762100567 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.20126126570256 0.257910298973086 0.106249942688467 0.111120191409629 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53872214759197 1.42740293575595 0.692082600975178 8.80936975698845 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0403581826290213 0.0935833144104422 0.00251802922579127 0.00354225024845899 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53980856374407 1.4294031038809 0.697658700550933 8.83592685862569 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.071647147253927 0.113605289459409 0.0106512626607167 0.0116749449223229 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.54511212938135 1.43595580102258 0.722069328758929 8.92674538404588 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138368041026765 0.178988684446967 0.0466129920206931 0.0481627678693124 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.65095994608518 1.47166633128525 1.1702736328281 9.47764707381538 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.409989640421034 0.476345786694118 0.496775102995792 0.42676727604675 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90240816621691 1.51516298527945 2.3900850418331 10.0863295275274 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.687015744702473 0.761596240384555 1.5445653118293 1.04313375188909 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93110787969638 1.82231834866139 1.7155095517106 14.717967562973 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0172607580708912 0.112724836265004 0.00104343602360166 0.00958993082745876 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93038402093715 1.82161058001931 1.7188037981169 14.70924967978 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0201439374318396 0.112980406479688 0.00135796702135459 0.00986915480957541 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.92965852342764 1.8206730080555 1.72309239387904 14.6984688847482 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0265771752044499 0.113946908884869 0.00223881571206216 0.0105888683465987 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.92941826540329 1.8198985823571 1.72956842554231 14.6923572847459 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0423536475932711 0.121234428632297 0.00520791286213449 0.0137093183136378 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93364528430157 1.81545422352337 1.78992554812919 14.6603230234699 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114233335752833 0.187100883435013 0.0363652307879095 0.0480093107465418 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94302187743361 1.80218434471959 1.92303952669661 14.5322514680184 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188480681387187 0.268546567056376 0.100881874107174 0.116355154061168 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93141723077673 1.82317896046716 1.71302307570308 14.7313787498013 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0384343670273434 0.117317845590678 0.00413033009396821 0.0122258204185606 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93214360943881 1.82325204846822 1.71849164431572 14.740872659093 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0680451575909363 0.138655839212343 0.0126770150826717 0.0209313913494997 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93657469639565 1.82224184689559 1.75649642875094 14.7536161511857 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128990787668256 0.199389085598742 0.0461806923720272 0.0571852012953627 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.02305255237849 1.7724606789771 2.44765898154957 14.2603340919495 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.379942745208149 0.482873929184766 0.440421441503262 0.438909622327899 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.22169558943268 1.77030448293561 3.69690739848991 14.2961464667136 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.636367947042219 0.765007719370798 1.3298683296685 1.09847304651971 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.37312967799002 1.26000810983523 1.20286749587745 7.44562315137872 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0303317673628847 0.0971549635497434 0.00184796149120153 0.00266755586884369 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.37303200342129 1.25959001538142 1.20474664773601 7.4411701230536 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328254463491923 0.0978353572853461 0.00201046987673929 0.00284015139140592 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.37449752882665 1.25989215393231 1.20565120088128 7.44253091705126 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0399986632675855 0.0996129861170509 0.00310515694568455 0.00335919942618801 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.37552017442677 1.25680563588019 1.2170856959026 7.41272429594257 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0599718414291136 0.105770842862677 0.00785307520115124 0.00542656399944229 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40018509764283 1.25455721583422 1.27583040830824 7.38049926864976 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154322977990783 0.162155336262089 0.0636255133662146 0.0287755489538691 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.441145808999 1.24658508890881 1.40981256340123 7.29320316860044 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.253612573506983 0.240323707940966 0.185524172362828 0.0788203655429964 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.37636427711539 1.26007684167799 1.20812871595399 7.44207333920866 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0514771359801582 0.102955580278293 0.00566051338408182 0.00449465535098213 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.38288731810611 1.25827054734617 1.22398672329511 7.42268838844338 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0878820162759217 0.119347036995214 0.0185594681007654 0.0101635880801826 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4011077840076 1.2509744343304 1.29305746078814 7.34517529865875 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.166941283363414 0.172911686166474 0.0760761209595715 0.0344325637840824 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60485573691121 1.27634048239395 1.93511224339554 7.52223790005887 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.484205299689288 0.458449806688593 0.745843519390543 0.320983015574193 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.91459608967302 1.32132003068707 3.45100654832216 7.85676732344503 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.793033149331462 0.759296722157634 2.14286645579303 0.873420914978638 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.183897696091622 0.125003150611731 0.289051472588524 0.296806263042994 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0923965035620682 0.0326642745724687 0.0347601910267355 0.0036186347017523 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.184163729809542 0.1279075574956 0.290170548147858 0.298852045534354 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0925807373536098 0.0356250160467625 0.0353337316215911 0.00429881738723737 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.18639660640704 0.137338835304685 0.294440316405054 0.306188733781607 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0941497145825583 0.0446157168359183 0.0374258072342102 0.00645255258107402 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.203797545878387 0.166152980496199 0.315183885685165 0.332682893380054 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107805539078397 0.0709968604410677 0.0489282965721969 0.0148111813184896 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.323326496210971 0.280035929263901 0.474889698473378 0.429280642910693 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.220732307515735 0.194308429809819 0.177804377628832 0.0929889417482882 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.473700439535109 0.387957212965181 0.811145276498514 0.571314028642254 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.349947773202202 0.321142478142575 0.428782806462868 0.231347327988176 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.193140666700291 0.15502565442978 0.297482317247878 0.314637967125007 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101603325454288 0.063219100389797 0.0436976666101613 0.011964672849882 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.235650341329048 0.207285939170422 0.346819558590486 0.364563199235087 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13894381287049 0.114288231022268 0.0766052591093568 0.0352629016526955 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.343961550324148 0.306252226648987 0.509693022193946 0.465800221044406 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.239482334363459 0.222109534341653 0.206216620035872 0.119633141067594 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.924638510534548 0.628870374137818 2.54157672064265 1.10591366557058 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.688662104108936 0.662546291811757 1.64850917939965 0.847535512702842 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62161247583075 0.895225432932053 7.02387615874616 2.09390702846007 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.14749359502042 1.10976639324274 4.7027387680977 2.09894151356008 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.289942112294499 0.249899211787528 0.236614023941625 0.387678829545277 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0644824889899923 0.049893305303953 0.0169542961180896 0.00133951538867145 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.291540489779549 0.251443280474032 0.236551236164723 0.389511611614194 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0648053811942376 0.0511674377480871 0.0171900190211743 0.00163213688276363 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.293946285831255 0.254765510254738 0.23931840574558 0.394612110419921 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0664237767503129 0.0540263678948637 0.0182651365189193 0.00231050565995456 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.305674453006856 0.266976953050286 0.252003052497753 0.412149631275794 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0745324293354963 0.0656599927333806 0.0225000640363048 0.00482500886260336 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.418928024532313 0.346251099245223 0.384581335010394 0.56822848688917 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.141980825611527 0.140777430576849 0.0699439886343314 0.0358269472698558 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.564520339519007 0.421778262553619 0.602274114699645 0.768003152803533 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.220655392492063 0.224748568354552 0.15921363343192 0.100888566892792 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.306919725818513 0.269323280916468 0.256146604632157 0.428732513758614 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0721180829063762 0.0603091089195959 0.0214199707716783 0.00354315524783891 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.337522008997494 0.295560877877261 0.286350878861071 0.469182369605384 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0950461660367095 0.085932236195096 0.0344198463182908 0.0103148401732319 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.454297495395084 0.369419308003711 0.426530176059941 0.639310507937215 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158543471745029 0.149549566105363 0.0859419576418107 0.0406559626273948 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.905629298191366 0.538314092060745 1.40241594117916 1.17679975615423 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.433216124106237 0.418099781252156 0.606691085280847 0.343153943573175 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3345708577515 0.646574424214836 3.13761806232787 1.65126558789699 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.700743785588754 0.677224984109428 1.66423509196264 0.829598689342043 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.71101957849465 1.58117898774775 1.03873230357718 11.0028463476172 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0269005843051388 0.111577089395789 0.000766722235086982 0.00327548905846266 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.71104531622007 1.58127924939472 1.03935928524115 11.0041758577401 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0289490125327577 0.111638247720092 0.000985506833256247 0.0035361694154422 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.71154855794941 1.58188943724933 1.04050826966853 11.0123764928992 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0341819248064809 0.112234094875813 0.00165639465212444 0.00431213909176638 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7127592732318 1.5834591716028 1.04399244365182 11.0339223311993 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0495154780890443 0.1170526595404 0.00459952548015735 0.0074482924880037 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72143837794462 1.59390877503374 1.0647585643932 11.1708014802168 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.125522651695713 0.181828387775376 0.0387351779704644 0.0437176090549506 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.74152365165303 1.60970210469009 1.11917483065921 11.3857703262233 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.205656022697478 0.272823250753738 0.114373615153052 0.122629144591682 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.71199776404839 1.58161204072596 1.04224232871469 11.008114346532 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0455337182560695 0.11558684355022 0.00365476063486942 0.00591707286304641 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.71568409105755 1.58519482734528 1.04973996732834 11.055790037693 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0779471113225876 0.132548058407885 0.0133914876412947 0.014282226134233 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7272931459578 1.59714938764642 1.07123946519398 11.2079984699776 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148202966994284 0.192823550101296 0.0560267115327467 0.0495973252943116 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.84900696107406 1.64341939728683 1.5652648718688 11.8620942940455 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.439674851218732 0.500083972850272 0.589452684144094 0.443417469766524 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08301965880082 1.67313458133096 2.97252313217924 12.2854751088161 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.730770113452256 0.805366682158372 1.77705221128347 1.14122079519933 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156704215949382 0.13039031132997 0.0875588092045317 0.127481101017432 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0351733539391272 0.0239950341342826 0.00525491029325252 0.00106100880936176 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156157013372771 0.131299242550907 0.0874582804390293 0.127321169250928 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0362896172626366 0.0255166076776431 0.00557395217480154 0.00123290204713327 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.158605123500655 0.135887935636969 0.0887938094064242 0.130463966890775 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0397778172058879 0.029616179890575 0.00660117377133904 0.00172258159707184 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.169582804680383 0.147597783191105 0.0936664735775159 0.138645480146187 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.052425931160744 0.0411572842302578 0.0105591523166148 0.00344705605015827 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.251730235320826 0.202302649376326 0.151439809074632 0.191150966140638 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122040021241001 0.104974075849753 0.0489924364560747 0.0240607469018242 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.349059957219539 0.248002817417305 0.26294736709136 0.251364322652126 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194686273056801 0.172611990994028 0.122761837468646 0.0628407346303491 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.166085429122108 0.143592752909048 0.0923161922874049 0.136490806301268 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.047582632045092 0.0368431229794314 0.00891408924938939 0.00275432467768026 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.190776958568225 0.164533433728706 0.105613633064048 0.15272631349717 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0724290890991322 0.0609462492657872 0.018719897846581 0.00795789645660119 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.26391412072777 0.206573453928059 0.165211191913798 0.196924511496889 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130442009145365 0.114490079682186 0.0562866502576415 0.0286540719934047 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.599564777732884 0.336670570854349 0.759929116724752 0.411633098996365 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.369933599190545 0.33796275852448 0.470081176371677 0.208274971568124 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.967677168501557 0.454917986107267 2.00741829873223 0.683842081231211 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.611546977441742 0.571409847779385 1.36595782291529 0.511679220172722 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.49154618624821 0.455999806857606 0.715331383599744 1.44016877670504 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0406410197884183 0.0388757451017515 0.0067581587719927 0.00228750144268479 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.493514415766695 0.458431830762717 0.715905112769547 1.44768641438138 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0419841364154188 0.0401870705299685 0.007321342990594 0.00246819025835538 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.494828990620307 0.460242282015351 0.716793000937064 1.44862796729939 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0462287217208116 0.0436119192874622 0.0087049158601684 0.00299268822988926 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.505909219841259 0.469528892131534 0.721534646454941 1.4650591818501 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0604821013019658 0.0554722637997489 0.0137090275538437 0.00516323159056313 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.576237482463049 0.505796316434798 0.775807510187968 1.51992406582214 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14018107512124 0.122472978717788 0.0626569221881043 0.0291624841982447 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.660646849768564 0.532438867903139 0.89469261614526 1.55575734488467 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.22361857760223 0.196329126238389 0.157663492972835 0.0746885022393602 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.504158027842631 0.468704020076838 0.720766702586032 1.46769534557071 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0542272990846375 0.0518770315555368 0.0114520745007676 0.00450521917874066 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.532327204824257 0.487798553015911 0.736705933950379 1.50628104657818 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0841525987326873 0.077181582579015 0.0247827704708053 0.0111123036865606 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.596716806968743 0.518976558983807 0.7993325559868 1.56142906687568 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149751252107737 0.136741080533658 0.0736907083444061 0.0377517738815257 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.917768808666248 0.608964092300477 1.52827569531755 1.75474730633323 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.423345634027389 0.393958861983597 0.615532144365179 0.281596231488642 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29839676796146 0.710706549385032 3.08811045175124 2.09569748892699 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.697426298647573 0.666676532214062 1.76414153951383 0.714653382873448 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.14315085407733 0.0921644818219228 0.103907303430546 0.100090172525231 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0650684059088475 0.0211166563963143 0.0178108942678105 0.00113003755386785 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.143480841832311 0.0945445897643685 0.103951583151247 0.10097184719071 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0654644988055809 0.0233085390638511 0.0181209917863426 0.00132022979172728 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.146198944957257 0.100668038918149 0.106285257085116 0.104837299749129 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0676009463675484 0.0286554298923768 0.0194056719476442 0.0019734105350468 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.158064339468082 0.116756622236547 0.115498430722291 0.115690858879163 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0774605203303314 0.0434175478359175 0.0249271290551685 0.00450221390246512 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.240082143218894 0.177896932837352 0.188722923100797 0.155036778765818 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15476631571346 0.114857718407346 0.0843223526740858 0.0304918365655076 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.350281920853345 0.240931200159764 0.342231710467614 0.222272645542228 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.243678464525071 0.189317047444584 0.196940069685567 0.0798280918584523 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.152686313809927 0.110584269438406 0.111911183347498 0.110535368068536 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0731457890772233 0.038295268346996 0.022554475811769 0.0035523229400371 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.178089923398713 0.135917893055504 0.130296388424388 0.123874965734913 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.098400505271436 0.066384365369669 0.0379702656037051 0.0106513320106319 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.251556199552044 0.185935655595555 0.204749345650247 0.158123379281115 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1661845296262 0.127324278951383 0.0968526349723353 0.0382659572035153 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.642615011602083 0.365920121652265 1.04586355201707 0.422627711917629 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.455221740015234 0.379061220646115 0.68906601236036 0.288819893588875 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0589527322245 0.515691205939657 2.72069286254641 0.772308888557062 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.731646634458996 0.638863462287147 1.85610734635618 0.709805409411928 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.314281340707346 0.277094490927012 0.391955630061225 0.602582755096697 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0626399561982032 0.0391603285272348 0.016440359382298 0.0010939198578125 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.31387494865606 0.278338059572479 0.391282579088755 0.601613220936834 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.063664832686343 0.0415485180328411 0.0171017200962217 0.00152047331224953 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.316880339522145 0.28414234768284 0.395236925564914 0.607406511238369 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0679476492232694 0.0489171145871999 0.0194903546883557 0.00282435622630902 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.34112722781226 0.309347976120745 0.423023143583736 0.652670074576926 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0872979713950917 0.0728679289338569 0.030233830750241 0.00861389170313021 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516644534259505 0.43320716106539 0.707582241931789 0.953098073356402 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.205469681901341 0.191500378056676 0.140661788157695 0.0749749852027411 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.746031509147137 0.555594683518405 1.23929218803289 1.38945017857517 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.333319938711629 0.315965266229954 0.358035073254455 0.204719453285932 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.334293315731887 0.302118498273618 0.417363951390083 0.644509838513471 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.080065867069523 0.0648655877744115 0.0261826867094362 0.00668260835298924 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.389308828702241 0.346449786081556 0.489621097835869 0.728194378785329 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124698746489318 0.113285185550894 0.0566559242156244 0.025139887138803 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.573230598117048 0.466911877898654 0.840473108387287 1.097038310379 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.22880429615817 0.218013628270583 0.173327491271136 0.100211410520987 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.28627066989298 0.760921948886041 3.20075370583532 2.32542735809551 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.651868980684347 0.646035743736071 1.42364544330931 0.798984377903883 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.96090978994059 0.960623083898136 7.30984193748638 3.44776808917398 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.0762846335689 1.08007474389904 4.099905021004 1.98449121355594 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43784342410468 1.31026950381189 0.524907144599041 7.36305613245837 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0246849363472468 0.102899863915538 0.000233652284550216 0.000900563282402848 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43766775488615 1.31023501419151 0.525584225086036 7.36266026921623 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0266194864471079 0.102894435447945 0.000390237704200753 0.00117094954332517 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43773373259926 1.31043105456308 0.526750243311636 7.36496321632844 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0311707759869627 0.103285114529216 0.000899720453825178 0.00196795075036978 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43809889670216 1.31117833489415 0.530354877424752 7.37394764534007 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.045155229284733 0.107722479067903 0.0031397996285069 0.00515692799478319 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44385022224431 1.31882983695918 0.562671241223777 7.4677048385155 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116475304924363 0.176909921732339 0.031974293664621 0.0431321709900791 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45966320324888 1.33093479996462 0.634502390765033 7.6212110499824 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.191238330289898 0.268754293804128 0.0958118087766343 0.123955290453536 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43799999777488 1.31087261499678 0.526215619296186 7.37123397164411 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0385732156818892 0.10490940146367 0.00194366113160637 0.00362746314811209 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43906764718549 1.31266927619304 0.531810492084714 7.39420368301448 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0648974090444433 0.122788471194298 0.00816982801527596 0.0121211347713184 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44459590937097 1.31970861218329 0.557424634091569 7.48324867701726 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122992518086681 0.187377162713315 0.036006096408537 0.0497024158526835 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.54485657779733 1.35953699390527 0.982445775248447 8.02713777742314 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.36531316467966 0.487529464504732 0.39947873149517 0.441261702597033 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.76945812044086 1.40210825021343 2.10411326731384 8.59637335267409 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.618392011355774 0.770990827167894 1.27408088691515 1.07649451800607 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.88907021555635 1.77403865623979 1.32150505747357 13.6768582551338 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0185697245278552 0.12088943642878 0.00189205665115237 0.0106783020066695 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.88980248755737 1.774733297122 1.31944051726282 13.6854414558246 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0209178235406961 0.121344350354655 0.00202315662978576 0.0111771299362382 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89028381711379 1.77514535260291 1.31898473902651 13.691203796739 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0271077628453045 0.122404633870424 0.0028213106227193 0.0122244234688109 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89117181327098 1.77546099819712 1.32222302917726 13.6988027826814 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0430222965421633 0.129214775735809 0.00574109365244365 0.0159774645204888 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89144939611283 1.77126779061336 1.36871988170008 13.6694105791633 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114683059470102 0.193755974743999 0.0364076859364517 0.0506374927901983 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89644604304596 1.75483038253182 1.50473406367074 13.5050953291998 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188550107580682 0.277074591034139 0.0995314747992648 0.123571503917143 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.88788238528846 1.77282891184397 1.32761582403572 13.6647698762686 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0360727764383935 0.127364777928329 0.00415656928762321 0.0156376738579328 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.88791378092791 1.77261004480814 1.33775594169988 13.668608105403 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.062874173447938 0.14622405125697 0.0112999299777805 0.0238029591231249 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.88770686529272 1.76755207289045 1.39136223787681 13.6293274938624 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.120422861170239 0.203909004731449 0.0404194653301249 0.0588363871920558 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94383950358891 1.72139582794679 2.01482461346811 13.1824074748342 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.354676792975402 0.477189154286274 0.376440986056009 0.432314596896378 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.10412766360281 1.71314220558363 3.13295465929055 13.17037698505 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.591749839426823 0.745802007359955 1.12661813504619 1.06732449511807 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35212958929429 1.27442417641968 1.21392567407465 7.6323392222318 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0263781480549753 0.0768742287382394 0.00166055928351584 0.0025302702092738 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35164566478967 1.27337204691842 1.21645694011596 7.62306003520068 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0301423713754071 0.077827350008926 0.00223699720317313 0.00288646400447933 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35204353141436 1.27254510590786 1.21984713242413 7.61526090002549 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0393123550414286 0.0824245645915659 0.0039669114790731 0.00395408098144101 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35288446596032 1.26895932298187 1.23429430639658 7.58273750173398 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0643053019799178 0.0985025814699519 0.0111203363136431 0.0083130254695544 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3842512593141 1.26502028618385 1.33477041547183 7.53346200787982 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179251832537699 0.202687653519667 0.0946086536908268 0.0597608209006555 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45462547302107 1.2717090462266 1.52450669346704 7.576437275704 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.298060361816819 0.323833917683902 0.276830932653256 0.165115744635967 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35331871691397 1.27017872651799 1.22822018199035 7.59299093097331 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0538991598094999 0.0914175533861781 0.00783002726746579 0.00621135310148385 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36064380273533 1.26718290967104 1.25414735679451 7.56237046888093 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0995868312753943 0.124845134114197 0.0278612313409513 0.0178286596706334 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39457407082584 1.26588579371349 1.34918667288942 7.53336584047555 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.196469770293584 0.212618154668057 0.115074127005246 0.0673722119009106 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.70634147715074 1.32024384754654 2.45968746138419 7.92607462197081 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.596109929804796 0.607136413601294 1.1891384671746 0.586067366459564 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15260743298913 1.39791817297609 5.14377878098402 8.46830079756424 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.995311235192335 1.00575246630203 3.5056963602033 1.52264037902189 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.203046320945509 0.131450102363062 0.307897751533285 0.298374221890323 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121931746310199 0.0941708803105697 0.0628503755357854 0.0830030307138217 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.202350997083289 0.132646338185411 0.307198490757273 0.297606036144252 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122237256040245 0.0963238588450474 0.0630345611546111 0.0830170739869449 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.20391873780562 0.140015661666828 0.310037002611279 0.302565501267748 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123047753527922 0.103285883033061 0.064888324362293 0.0839820677875591 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.214050189613477 0.162226949931054 0.323221106477045 0.317641851186802 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132633135835073 0.120489552820523 0.0760248680164564 0.082518975411563 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.32481570089805 0.272509568963912 0.482751723338813 0.418366473634985 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.235443439416932 0.219061436991287 0.207028933472363 0.131805503075316 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.469549711861299 0.377975488783245 0.813785207867117 0.55021090530983 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.361248233280013 0.326439608965331 0.471683527310788 0.244066870096077 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.209197768157454 0.151776193404611 0.317407655849972 0.309398543385959 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126494242683908 0.112888835327758 0.0684685424866625 0.0832557563546379 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.24077740980177 0.191995125398122 0.353403298732383 0.336296628019262 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156988752812692 0.14855236227237 0.10015172048115 0.0933532418388204 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.338796359049452 0.279711216384383 0.507108897845745 0.421603281401806 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246823785848968 0.230071187505927 0.225154445167453 0.144957815048901 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.881702894835307 0.596888742905645 2.3372429810429 1.06666607032452 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.655848568838561 0.604728735854755 1.53974160052174 0.717270972199113 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.50362977446955 0.838404936773951 6.12716487152248 1.90964594180566 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.07587795120857 1.00479375517216 4.21981166452692 1.74821221981406 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.305002323730888 0.259526603878639 0.255420128790624 0.404002108585385 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.120614414703192 0.0939903722816559 0.0669451265836459 0.0253697364085309 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.310016693570558 0.263976498374321 0.260277298060259 0.415521033605607 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123486573011125 0.0946278446600475 0.069442688163037 0.025992903892651 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.314650597406163 0.268297035510286 0.264873918128275 0.424549335827861 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124409332924991 0.0970951093349844 0.069550211266006 0.0269002825566227 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.326835093394289 0.277851508253937 0.277790996239358 0.439016542653003 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132534307876859 0.108156806543698 0.0759076570671105 0.030823885988859 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.45465660865557 0.36011162061534 0.422633680247314 0.61951963072451 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201460917519196 0.174849194098716 0.154304081058704 0.0645066749031636 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.592767517838773 0.426037919525051 0.63281453527309 0.791001045880176 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.283930639550601 0.243289927970773 0.291902173307577 0.11933036565777 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.318424333459333 0.273703773856953 0.267110549653466 0.43272577019201 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129288923862231 0.105001856748189 0.0747659620506954 0.0300798504144614 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.345868681744471 0.296063587896812 0.294473940231374 0.467763335802386 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.153677642828255 0.130204404261871 0.0966203555229117 0.0407573253525596 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.447864271755939 0.35923927266295 0.420836738254141 0.605934899067126 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.206855961137279 0.185910401867286 0.164549717684366 0.0726841307627841 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.860621854201064 0.519897607773803 1.28384976783222 1.09155241303424 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.434191294418321 0.417868412492593 0.652436190346692 0.337693927623457 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.24715923602796 0.622884629335572 2.73833133689609 1.54605016237531 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.658983055006835 0.651785863943959 1.52754504639567 0.779172127098197 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72216281513081 1.56515280301031 1.02603819381853 10.7679796599945 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129279118630095 0.147011124060928 0.128463106138777 0.0306709330936954 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72224531268811 1.56516160518075 1.02623614077735 10.7679682106579 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131158108046153 0.147156420935372 0.130131462651463 0.0305866925281835 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72151290654493 1.56442612164616 1.02378086814977 10.7558900566491 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135441859967553 0.147387395476728 0.133738284810733 0.030894994057781 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72291863945414 1.56595489485677 1.02752131585518 10.7782140434557 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144821246211871 0.149970466939802 0.137559536423552 0.0322643971732984 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72903282015592 1.57422683399027 1.03925102915724 10.8871507360768 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.185947540091375 0.200103358322598 0.152477391002316 0.0626218924656912 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.74437110304293 1.58825165716069 1.08015105071354 11.0798260475654 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.249426079663394 0.279022472895717 0.218526308576734 0.127292409893948 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72253194123318 1.5661581217741 1.02538352317658 10.7817208650893 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.139676254168112 0.148576279697876 0.133999808268937 0.0326423297770305 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72289130878519 1.56797582661895 1.02420656729916 10.8031227077009 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154113922668523 0.15797076514494 0.136905273451001 0.0367327417426822 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72802654010574 1.57613904316078 1.03143324185643 10.9058602671315 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.192085711616847 0.206845708554166 0.159972330096033 0.0668513994811702 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.81892040406512 1.6276729052971 1.4043889827634 11.6226912261237 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.410772369560445 0.48955559928237 0.538907618753521 0.431419569086056 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.99585539661158 1.66243178625156 2.52342134018931 12.0867249673527 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.666578693095957 0.781933455088707 1.50191978126249 1.10790663031138 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.162139878406964 0.129319077876722 0.0908538267613096 0.124118300834294 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0549682122596859 0.0683263049734677 0.0148892455001977 0.0172051910843789 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.162549496935389 0.130324431880962 0.0911862089887198 0.124772048339844 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0557241487695357 0.0695275491532984 0.0149929041570495 0.0175713429010869 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.164108587570341 0.13371831640699 0.0922393774525697 0.126899373228866 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0588644960803868 0.074286647725152 0.0162256537386816 0.0191992806539198 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.172976820944157 0.143921212938293 0.0967779940281793 0.133349333239878 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0691021611137386 0.0836763318669662 0.0206715806474022 0.0212306326525281 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.249504770710247 0.195845552908147 0.152246907449849 0.182710640747011 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.134363996810288 0.140607048979953 0.0634169284275133 0.0475368769463283 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.341062117713086 0.239094495661621 0.255123463782428 0.236318925377343 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201412421148281 0.194432920629538 0.139822364027762 0.0815389468852381 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.168786722558673 0.141029787851882 0.0949863358268335 0.13160161964872 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0646843020864348 0.0808473269058681 0.0183917512653447 0.0206365367858074 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.193320593817641 0.162392380252901 0.10896207907143 0.148624111086936 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0875032959300017 0.101886807497781 0.0296433378447743 0.0284242712435967 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.265915713156883 0.207443638386577 0.168231168999831 0.197137861856443 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143888359916539 0.148617398330995 0.0737702723392498 0.0515509199565853 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.59296024714786 0.334020228929068 0.744767783140077 0.401907911953283 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.368880129170682 0.351098332793824 0.47695101428809 0.222070625066926 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.941130239225907 0.44905790724535 1.90337478140594 0.662625413578314 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.59754701033554 0.571642137632539 1.30755764011999 0.515472532251499 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.493841730190394 0.448895858529629 0.718818133761183 1.40095562053481 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.080945003093294 0.10474745082851 0.0279440301649196 0.0335161975233035 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.494343538253856 0.450241903385013 0.717148040765325 1.40248078019402 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0814385501252495 0.105095263178328 0.0282933565499051 0.0331548356664309 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.495139498475157 0.452500869348795 0.717826519798584 1.40495658592764 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0825167975870015 0.109220816809752 0.0289414772684358 0.034898792028422 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.502984387558063 0.460793265333866 0.72330334623621 1.41989696813233 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0904442064106337 0.117086773012251 0.0328157864671013 0.0377100734646998 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.571245110013343 0.504109288864435 0.770453251964256 1.50728606936096 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15540619191643 0.166383528397139 0.0858137830971326 0.0629969343966517 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.649056480837461 0.534714939631134 0.869549347313318 1.55808282313232 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.227521963116132 0.226512122174621 0.178127555973002 0.103918886982197 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.500489473232126 0.459023070369032 0.720830648047324 1.41855288394237 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0884700991426803 0.11404759148749 0.0326578288357894 0.036489057038244 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523681996467276 0.477605460406759 0.733311619415974 1.4565736958958 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106827868746503 0.131923637549205 0.0427335719178432 0.0435855513674094 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.580789817761922 0.50894074970132 0.786525499315796 1.518627085992 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161825857979808 0.173896147377381 0.0917805142148862 0.0661591807836224 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.866353276451182 0.592931429010062 1.37721234274485 1.70311612135671 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.399126871785973 0.381508468715593 0.551828060540728 0.26448120444627 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20393227742089 0.676451645477788 2.6319429229516 1.96362709100347 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.644076893747605 0.614564095157875 1.49259511805691 0.612094577721088 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.151315078981916 0.0947026180857157 0.110156472256251 0.0994752928285322 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0816862223708775 0.104418175346829 0.0281706465469687 0.0455631939666393 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.152120806278093 0.0967149344595092 0.111271950170595 0.100993953861795 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0821894744305301 0.105135148269915 0.0286040173992635 0.0446606636745958 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.153346747771505 0.100730636674579 0.112628460219811 0.102934452014425 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0831039181054967 0.109271765825368 0.0294597994850912 0.0453305579125593 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.158974224656396 0.1115963549368 0.116955564077804 0.10665543594109 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0918691975287551 0.115579591729684 0.0360147021488568 0.0467236110934542 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.229577850006721 0.172464077094988 0.182718937964288 0.147913318685859 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.155214720187342 0.165990812494555 0.0926328151798589 0.0728402608293857 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.327702835896349 0.234128277951441 0.314957083412179 0.213982315011588 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.233080128550602 0.227201355166364 0.197463436245429 0.124176026417438 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156662681679497 0.108494613893681 0.114727355512591 0.106628502872359 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0889897606918152 0.11547157855703 0.0335689069172124 0.0490876677127819 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.178851993819862 0.132128151157728 0.13193622061948 0.119775700900705 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111101291882196 0.136483658731985 0.0502445009165328 0.0588638185225186 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.254318861918525 0.18710833513702 0.208562367410909 0.166855030962475 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.176232908444628 0.180537876837018 0.11607573142087 0.0870720507423185 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.61948324250557 0.358658723860701 0.965577904015458 0.414071992296434 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.447468888345884 0.379071014564945 0.683410776401004 0.290912183353121 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00101381539834 0.499143177941372 2.43059820776959 0.738007950866494 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.696054660073286 0.610010416523733 1.69226413300285 0.656191730129068 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.32347592063171 0.278145429311282 0.403940748301857 0.593424517549785 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0923325504541192 0.109211054133506 0.0399049287589796 0.0513800808240737 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.325731088590454 0.28137185609748 0.408720984647834 0.601948342808476 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0941489478937846 0.112640056547945 0.041525923330747 0.0539288698596068 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.331049109340346 0.288981622583562 0.415614787273515 0.616273428383139 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0978408654181595 0.117504911344194 0.0444898303720424 0.0546763654288469 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.351053230817531 0.310559808200694 0.436890279844719 0.651947789872764 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11163621566391 0.132287010703809 0.0545271223316597 0.0569385511070149 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.522961996211327 0.434506270872833 0.729334482588055 0.97718575909202 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.217810867273445 0.227298223139255 0.166482170798601 0.1121628906663 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.747107960688388 0.553168256865855 1.24853630805991 1.40054666832916 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.339043253295734 0.330891529512397 0.385621317018585 0.219505829650321 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.335295903889724 0.295330158561913 0.418823755799798 0.612677098619827 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104240694152651 0.127285645824282 0.0489004123206485 0.0595608208016633 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.38142421696526 0.33630756698074 0.481664183576989 0.685849042662985 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14288398261339 0.164579966995165 0.080899887959448 0.0755406542107822 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.542203956356236 0.445594173133924 0.779634555402612 0.985670230009256 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238728070951627 0.245672256325545 0.199845924717398 0.135301288995817 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.23972762787394 0.726118113858702 3.02505942129815 2.13229997021612 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.636844980920953 0.614911906741425 1.36208971630479 0.71300296309876 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87745841502754 0.911458966949324 6.77973304928845 3.12929642381114 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.04013328654502 1.00866202527105 3.82310534807924 1.72113791069562 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44340329835503 1.29156555873738 0.515230507630828 7.14652455637527 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.166204155722841 0.120518683777283 0.18060766024126 0.00405925128683774 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44325386130397 1.29156334863856 0.515469382901888 7.1465772674487 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.163646716132589 0.12008185196411 0.175363221525866 0.00388154952118706 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44323624512155 1.29166332730049 0.516179235333061 7.14789706421229 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.164201326404866 0.120357183380785 0.174354074150741 0.00475068645944899 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44383497810497 1.29264950940081 0.519837301482977 7.16013507340352 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.16569505199664 0.123300046191645 0.170367267632528 0.00737988042261755 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44783862529929 1.2994723772427 0.547275110940359 7.24532823277975 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.187562669896505 0.183011562567653 0.163569715844719 0.0431524390488178 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45831474857676 1.30951007031862 0.607025870109202 7.37695939190719 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.227599661442652 0.266663404025589 0.181155789461416 0.114110156245057 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44372099504944 1.29232455192313 0.51522279096161 7.15601548261685 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.168960531923016 0.123278750940095 0.178415945844689 0.00770138707855088 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44499967546804 1.29440474822439 0.51971668827942 7.18174030807783 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.173402675374 0.138245829981769 0.168012988289417 0.0156161668907899 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45058855356693 1.30232886144682 0.541553900753635 7.27958499267648 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.203435451096778 0.197944175650032 0.178939879289861 0.0523446942300596 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.54065361421809 1.353924416021 0.918313166300198 7.95561114178529 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.406020838231981 0.496193653942577 0.526475565784106 0.431505908465146 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.75727798707768 1.40149788630992 2.03747964056365 8.57647394799514 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.656855974269502 0.777769087608607 1.45788055662652 1.0576202927438 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.9025742848727 1.77090460578211 1.32723848454207 13.6197127597569 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0838861643932372 0.141621930339279 0.0579730673258532 0.0198304425831124 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90239856394247 1.7708726942163 1.32692208514924 13.6196042875969 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0837065817120197 0.140600165301773 0.0568181975728985 0.0186020687632687 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90226320045561 1.77090532286977 1.32689981561164 13.6205631698776 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.08963342194814 0.141755058130852 0.0617546180134987 0.0204789754946665 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90169748128449 1.7705147566791 1.32802728241563 13.6168895366581 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105139950419192 0.146564827086207 0.0746267127169287 0.0242748705430972 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89967644254157 1.76799892449179 1.3646247713578 13.6118104015388 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.159580487612642 0.195554384353781 0.119178473757733 0.0503056859133234 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8978223069781 1.75447465896206 1.45301223975885 13.472075081598 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.219386583595187 0.269254090759246 0.193020848433488 0.110451528950904 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90271166226425 1.77119626151369 1.33511377737836 13.6260315028539 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0987061403973605 0.144686438598276 0.0660766952798809 0.0218740640667855 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90436816724272 1.77291974662947 1.34176294533637 13.6539328695032 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124880689544706 0.161117039969592 0.0874366330343984 0.0325730496798029 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90520036254501 1.76769686823038 1.40251686423804 13.6155692705905 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.173875363382253 0.212370907823354 0.131346605078891 0.0631909073155659 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95644741867992 1.72791227052424 1.96363588108098 13.2473426009822 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.381257102046662 0.462068685783174 0.473629084856178 0.379530018423548 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08214329436938 1.70342496301249 2.98854381889302 13.0093104985358 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.599332684352658 0.701771634165157 1.19322517534482 0.89126504633833 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36407148633175 1.26488922304324 1.19928206298749 7.52584113854529 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0962839191399475 0.0978073836106131 0.0708164999762 0.00671063276751981 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36437517489823 1.26458577510428 1.20057114465456 7.52303292653923 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0970860703950752 0.0992308948438874 0.0689882536456928 0.00739339494634124 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36514425890045 1.26426820657205 1.20305054280508 7.51967656658758 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10226741408217 0.102466634089756 0.0705690092519151 0.00810109140957261 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36519422922916 1.26015852388025 1.21782306944058 7.48364592548972 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119191803956284 0.11621586339863 0.0796629843116242 0.0124986735618578 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3956858797648 1.25694186141388 1.30730932484566 7.44016673764135 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.200883924518433 0.210283200356833 0.139064674157984 0.0595757456107326 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.46249916488236 1.2640607363068 1.48666223794506 7.4758817452194 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.305419495158366 0.323269426295392 0.301330253505641 0.153373156247503 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36478826427881 1.26129800170287 1.21153605856244 7.49298228385588 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11391213484 0.108113717758154 0.076232499915109 0.00976428717841748 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36873872623869 1.25558774257477 1.23992159145543 7.4378785884399 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14653817637685 0.138598022704227 0.0951878755321871 0.0216877647445375 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3988456436286 1.2527759151646 1.32366903059352 7.39682058887924 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.222793004430405 0.217327096373647 0.169763027547745 0.0622068182562698 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.69191077349526 1.29310571836746 2.37234527752239 7.65899498382895 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.584958222065699 0.586368949534689 1.1527019583634 0.509628561322547 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.11987000197936 1.35804180306955 4.91262059625228 8.08377677527434 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.966910724741441 0.968657159971446 3.33030662610283 1.34643500224094 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.316164760465202 0.215426191282416 0.546729159661877 0.533481617829714 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184749091239039 0.176728826135303 0.138352512037836 0.184640368105106 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.31873077890739 0.218746695355981 0.551725889562738 0.542325607350352 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.18452809544977 0.179200164418994 0.138522549603198 0.186643953417971 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.318657142239893 0.220263266244236 0.550720078090407 0.539229498621112 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184931471789827 0.181211695006255 0.139862979535767 0.187518865557321 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.324204876477167 0.23179222218451 0.563183112512362 0.550883159702402 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188940513899674 0.190712586998608 0.146733394439322 0.19179174500609 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.384857727453488 0.310564027607995 0.670763130028274 0.641811218653166 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.243462186038193 0.248754151567935 0.235652546548756 0.225712364547603 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.483696947454363 0.395583390928697 0.886693885320808 0.757913062528541 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.336082547877677 0.324014056804024 0.434392605969905 0.311197205721434 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.316441923259243 0.224532132786505 0.545809516330012 0.531769590738314 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.186796373624032 0.189342521865786 0.142832662778373 0.195372365325717 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.330077110735755 0.248006546016601 0.570726944685719 0.548449945444477 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.200576961799237 0.206239799574121 0.165416118884474 0.199595400151839 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.394241720299347 0.316823645637839 0.690546927750217 0.634921475316459 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.257806566440762 0.267723176639898 0.266085966146926 0.255071816690188 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.803119392444453 0.561757898624388 2.0115792829627 1.05722169491588 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.600712970574866 0.576991486641783 1.38145566102683 0.881057021779124 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.30056717250251 0.770829630705579 4.61930681452957 1.705367570388 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.961681470903716 0.97726534421189 3.49353771125046 2.39087112864403 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.506208312161228 0.427311268778603 0.557381287720913 0.996483432416216 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184443073275661 0.153464730773232 0.16789913649085 0.0772151313713763 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.505479196986347 0.42572579404253 0.55849565582563 0.988399291928686 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184989005034079 0.15276671211455 0.16786464624961 0.0762543224781974 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.511122955954487 0.4295073632101 0.565300566814095 0.998991417878267 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.185560217047802 0.152083815447775 0.166439465156221 0.0733990948241369 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.524514493051993 0.43696815420026 0.589135806470066 1.02020193134766 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188897049098804 0.158435110905931 0.168938092918501 0.0744736435858901 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.618137853104161 0.482653390048888 0.787702691134481 1.15133772995288 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.232630053577408 0.217308040353062 0.245803834806368 0.115021861263982 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.739255927376431 0.533521263324561 1.09441090877361 1.32544205934427 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.30629148012761 0.298425918515064 0.420639790158383 0.208326855944346 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519773824912015 0.435507026600074 0.568424154225911 1.01961179381335 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184702281849591 0.158468928928624 0.164534614667561 0.0798656059983552 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.545207631141581 0.448047813287352 0.604449259446975 1.05294016357396 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.196637637745693 0.175280623544864 0.178794422380513 0.0889150402879499 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.626543180628424 0.485706987629389 0.746737643960456 1.16053098060369 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.24247166760715 0.235858945311 0.258848338544479 0.141626405308037 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.992949766971495 0.615418837267293 1.82481472931118 1.63803042915581 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.497348421029557 0.470903953524668 1.05552821297205 0.513401686109733 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35973597038617 0.709241107558577 3.56575728838684 2.071974717352 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.732450538883119 0.70537506135115 2.33458864689586 1.10878643191921 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72737687983545 1.51123428790372 1.11110142441441 10.1693625608831 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.208362240515357 0.213527861373207 0.258072926055135 0.0925703791784885 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72739478575562 1.51159451512857 1.11102313258721 10.1732479605064 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207641363809457 0.215113178945797 0.254713019782788 0.0961946214677452 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72696446256322 1.51231292879136 1.11179306203373 10.1815391241284 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.206740035296102 0.213984340870292 0.251981884489991 0.0922739096459712 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7269247335221 1.51486151907107 1.11410790010405 10.2113688846458 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.21025793512452 0.214943879918229 0.260118850883382 0.090122612072812 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7309355683453 1.52993323203217 1.12719645590127 10.3917948267308 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.24073839091581 0.244491732539694 0.30528088117303 0.110249161030862 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.74004788840278 1.54829918019918 1.16482007396645 10.6204044273807 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.28213693506174 0.30375229020878 0.378785587119246 0.165050962878663 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72897548030528 1.51428437429568 1.11547750837134 10.2060379494986 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.211451961388461 0.211656834481694 0.267199747221318 0.0862739102929927 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72960810005028 1.51953005786631 1.12343099444911 10.2675854805164 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.21448876552141 0.219315707621562 0.267641179813861 0.0951872176068963 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.73331111074691 1.53286573252657 1.14310493962385 10.4210908849686 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238827663258162 0.249130607855098 0.293710212520567 0.112139394235497 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7637376472286 1.60045389400825 1.42884960776723 11.2939435343875 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.440120378750948 0.486001291200064 0.919581189321226 0.486954638994902 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8642641802337 1.65369892584928 2.46905903601296 12.070156385827 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.709089948278278 0.74676398674498 2.45985960044123 1.17136466662223 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.234082842920449 0.179931340660166 0.143028284749626 0.20041830659278 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.095395810221714 0.106361690753675 0.0469284580077315 0.0372554023858526 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.234387687354913 0.179733194080389 0.143697077213827 0.199816413988846 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0960783575731481 0.106348122326731 0.0473650243354743 0.0369238564974998 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.236512561057974 0.18185706676058 0.145581388973549 0.201836680377455 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0981626939104017 0.108035893377395 0.0492769161293232 0.0368379668564653 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.243193101298231 0.188140767925352 0.151807507528248 0.207483508611986 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105898927607241 0.118767486753403 0.0546380147144399 0.0422692073545712 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.299138172242754 0.223221694011315 0.21916201974054 0.245850140153197 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158221200633356 0.164524930434982 0.103158061561537 0.0716991368876937 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.375493821216242 0.256356130868114 0.340896628922716 0.288675658962211 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.223748087021161 0.219899340090763 0.201239176278204 0.117864650299224 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.238736527316065 0.186705992970826 0.145835843975925 0.206021781986171 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102136211481654 0.116926311083368 0.051282691153023 0.0421288771898691 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.254444877413252 0.199202904120693 0.158173235216851 0.217370442021272 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119152306501057 0.134324682424481 0.0633832606356859 0.0519782384108978 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.311031448110255 0.232751220307601 0.211300825535699 0.259782835940129 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.167771438565102 0.177134801146954 0.111510244391527 0.0823322894995728 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.586160481765803 0.340675016343369 0.728597840448188 0.43783195873152 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.380597325867195 0.356983913362116 0.569896553951071 0.283534449993989 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.888679055757005 0.436794957304005 1.70655123504625 0.651411916386905 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.59420658779229 0.569925316100119 1.45098220499089 0.668454128412928 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.515465128672362 0.442472542728239 0.797632864658568 1.37786407355826 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129158966846107 0.151847644359207 0.0688176989407223 0.0604268649568398 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.515732950774027 0.442206784696439 0.799284631945046 1.37401248112057 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130275854005811 0.153390679117178 0.0701816305030011 0.0618919649860267 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.51811612892832 0.443697072766091 0.802767398224838 1.37496472844687 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133437266771028 0.155917042120936 0.0726779776877646 0.06375348033794 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.528609206260652 0.4509029118897 0.812794962842834 1.38796350025829 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138031417437326 0.161752952851603 0.0772676358899505 0.0669769363002301 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.594961419797509 0.48525798791226 0.907249580173448 1.45277920174876 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.187101397461491 0.208038024991379 0.12979824727848 0.101716545573052 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.67625384558113 0.513949162351135 1.11105794130093 1.50658323866757 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.255738521330241 0.256688265309856 0.245242598088262 0.146323029018608 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.522858131530518 0.448498364021456 0.803327431603212 1.38713344747244 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133938861094751 0.156712303665688 0.0721152806918325 0.0625456917503006 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.543243766730276 0.462467664012528 0.818754996441691 1.41530235624422 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.146767945752258 0.171160503489416 0.0842760055838627 0.0718252300872565 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.590914122393483 0.485920108504822 0.878632099937783 1.45077343779645 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.190445164137453 0.218001807518079 0.138326452688433 0.113333254186614 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.855926709284583 0.578447416570371 1.40313479678219 1.67377757413974 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.419295605921877 0.41239768411325 0.711113097598841 0.359756027647383 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14716225262429 0.668458922132096 2.52487144801425 1.95415973378039 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.665689984562848 0.654931378497228 1.86668696214781 0.870891250367758 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.254306537814872 0.177089408655743 0.23776437693045 0.244601460980223 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122242339636715 0.16081901683209 0.0637330867191024 0.0862116207280976 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.256231726599218 0.179586620500294 0.239373150226252 0.248303097332338 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122491975379101 0.163401581616025 0.0642686877287438 0.0890401555100681 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.257204294788308 0.181489384902943 0.240357651083434 0.24913157919706 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.12472961192388 0.166322853143738 0.0665592582327295 0.0908848116687928 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.267853384831834 0.192573700919216 0.250122886017468 0.262570429969641 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132119496643337 0.172566854164451 0.0741833613107034 0.0942540827686804 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.332565929112452 0.239367024386359 0.329116650126011 0.310889127506008 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.189117031080865 0.211570559221419 0.146501113043413 0.132057334538108 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.416270160454804 0.283052113176172 0.466027102069969 0.36204813339628 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.266495040170025 0.262714683237598 0.281799771746033 0.187127492063157 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.259997464253669 0.185488929899831 0.243931572088132 0.251392966672792 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128913918914136 0.166844601998476 0.0711956858861709 0.0902655139783041 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.278969463974986 0.203540610472085 0.265789989379492 0.269579661184134 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143616043001416 0.186404093204511 0.0869775091928717 0.108441528170765 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.332525025322992 0.238695164350528 0.337139465884327 0.301142889954462 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195276674319611 0.226449600042794 0.153789464394555 0.148715719678533 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.63487817505896 0.37016147739627 1.03447863635581 0.487740547391907 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.443943187785917 0.419342214842948 0.761209229157868 0.5018922334727 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.969826295386846 0.495362425930776 2.30001681658867 0.786429004992296 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.682574713001373 0.654721003299103 1.82163522471836 1.19498176066115 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.386092557966944 0.319819781320791 0.488807896281379 0.696166918350969 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145104686802332 0.174054254580407 0.10382040439769 0.111140929826321 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.385786757727143 0.319485383487254 0.489555795390572 0.692868158248734 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.147191579985169 0.17568890726184 0.10705426054871 0.110920895007444 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.388855075263268 0.323225158298916 0.49364716111917 0.699129633895308 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149433518633266 0.176497330276388 0.110182699192017 0.108816188151106 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.403239410550038 0.338326891451867 0.518634169527779 0.734572874003046 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158193414634913 0.186014839324697 0.120693889728323 0.115009756672196 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523332947062211 0.428153581524878 0.737328165532469 0.972704962163456 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.236629367162383 0.259434163271013 0.234110775759705 0.175946133629203 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.698738059534028 0.528359493802348 1.12926661634079 1.31068626759116 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.339330258777981 0.345550037628986 0.445335788970192 0.272801599143778 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.389493111465506 0.325293017268024 0.498186250734929 0.693801943316255 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.155644810656057 0.182070174196892 0.117571843519551 0.114419222516615 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.427161172240156 0.359616029377076 0.558634871850213 0.775449780296798 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.178486020391086 0.207488748024255 0.146351972010251 0.131842222574589 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.535371551678996 0.43429219770924 0.771342159615921 0.976996726014456 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.253083770039998 0.275949072144869 0.26491554180922 0.199306957740127 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10272519532245 0.698546322348767 2.50840163316998 1.99795814759883 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.60574158096139 0.59616595232988 1.39369995305711 0.727020079810179 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.64259636178381 0.861158849459626 5.32065808834669 2.82111251228999 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.982972001411996 0.974898913488387 3.86605573263602 1.97093146336645 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62704913602635 1.40838440121377 0.745137803760414 8.57753979594552 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.241971506124703 0.187816757366764 0.338152330517776 0.0436012196709536 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62722940413002 1.40841970895784 0.745719295393663 8.5780333963776 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.239652930179223 0.188091738943032 0.330535291034263 0.0438777130348284 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62726964862963 1.40861563529639 0.746215608132481 8.58057262319156 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238405404390455 0.188270476532517 0.326836696947608 0.0442459661643909 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62567940991725 1.40966999069955 0.749384506038822 8.5950848976312 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.237894676318582 0.190718492884855 0.329927725200433 0.0468253591443735 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62218013036407 1.41799107590074 0.799028487118929 8.70800933327762 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.249380758055321 0.229567118284429 0.344651648363839 0.0881179897826462 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61963760492769 1.43098887752762 0.884103528690426 8.88416963375879 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.28793136707882 0.297992326398393 0.433516025256658 0.165312676948707 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62617057388135 1.4091338978797 0.768221238880888 8.59385314319316 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23999827934377 0.1892539250264 0.329374972140569 0.0461477290330509 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62325363573658 1.40992136454254 0.772260949242446 8.60663776002634 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.240910830880316 0.199493331364548 0.332445067401799 0.0619819641527527 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61580685683481 1.4145287229711 0.795672984783394 8.67356889529369 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.252642659341628 0.232491752699262 0.327032399060084 0.089456400468242 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62310496186377 1.46023072713051 1.20046458317751 9.33058896235927 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.431891556464342 0.466634827222578 0.826875221632794 0.453042025628241 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.70327903139718 1.51175626876895 2.04409262465797 10.0819332320955 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.658293604326923 0.711454685676595 1.99646228322045 1.08119326413595 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01168335686521 1.82186925148667 2.17740187275354 14.8292222740638 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152921986635521 0.220623150557867 0.199343270667475 0.111041248944265 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01304464019683 1.823178657788 2.17673610026884 14.8473456707378 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.153673357165602 0.220135868611428 0.200382899204979 0.110328802875463 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01601000508418 1.82554945023827 2.18660582078283 14.888296499906 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.155742843503884 0.220703475805302 0.200359783332373 0.111583030869724 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01725288642771 1.8258695074348 2.20999642146638 14.8958270010959 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.162532412539407 0.222783604508141 0.205282954091047 0.11233853352986 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01350276778816 1.81840349945374 2.40092882499441 14.8123250209673 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.211998743682524 0.27109085266369 0.269743061736835 0.16291255895806 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.00666301412126 1.81274209688479 2.56533530870815 14.7745162337395 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.266766142867698 0.347476039329205 0.380168382820253 0.295196972877725 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.0090559100093 1.82045273924601 2.19086442648606 14.8114245880709 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.163015909110274 0.226058014444645 0.212289920504495 0.120197435558377 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.00611591009744 1.81810314838583 2.20870194821002 14.7825745073678 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175156636261068 0.239018516818225 0.214202190175767 0.130535506791153 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01242736202892 1.82141641345611 2.28301095695119 14.8434730151454 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.217575635991375 0.289798826144542 0.264013372777556 0.18220137011644 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03132290368491 1.79735958852795 2.99203242633406 14.615568577259 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.421122340599268 0.537679821502297 0.847518448618555 0.646317369250245 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.09549119173515 1.77749093675512 4.1648359343856 14.4443534027729 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.676629352531425 0.789936676208573 2.25015564273174 1.48750366600541 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40900520871831 1.23647842148152 1.25399511017453 7.21108456732885 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175355791864306 0.154649166862754 0.193263352993882 0.0209804667662992 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41147887519994 1.23889328025495 1.25200679489469 7.23168228709739 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.176970691501979 0.15425955738546 0.198972583920699 0.0200790608560323 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40989028974258 1.23693330746155 1.2590362871243 7.21351839622501 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177939468216705 0.155415007329776 0.20085475152575 0.0199480532291923 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41163622030557 1.23618608806854 1.26762294131937 7.2033006457157 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.187487227099841 0.163169450487179 0.2099198273694 0.0230720016002659 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43741987947774 1.23914871474795 1.32748091613238 7.21876810553093 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.257703726272683 0.239844490333518 0.305654297130416 0.0682012179300064 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48122906964235 1.2407559029831 1.48382555111841 7.22462086246237 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.33248249252567 0.338435192495797 0.439816248896782 0.154287132555053 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41238308107538 1.23513964362343 1.26021539279178 7.19258831018696 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184073722977928 0.16163734246635 0.202163084316516 0.0229234677647847 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41622195991321 1.22951357035254 1.28642971769252 7.13194683344595 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209403757769158 0.183414174986949 0.232468294295044 0.0332949036443267 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44417474186931 1.23126427932806 1.35749013393113 7.12899290335678 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.267242007464312 0.249163368515815 0.315133283630925 0.0759670286950736 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.66165680959041 1.26712569556361 2.15881547446594 7.36934074120526 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.555264227418801 0.578563705050194 1.12774815299228 0.500590555779786 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.97159150217185 1.35031207100969 3.86795018451933 8.07935604496354 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.899420173369446 0.927190476367331 3.20107747096941 1.31427009662757 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.272696999484225 0.200915864632511 0.493342366631253 0.558231972235251 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10632784476051 0.0365726440677624 0.0465571873442669 0.004769263613148 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.274747409859831 0.212238576603855 0.497112466230726 0.56645316158652 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108380963791171 0.0493461558669603 0.049824400491366 0.00803742543545262 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.288057882568599 0.237794366872692 0.513992918420009 0.590934539274684 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121469817575135 0.0767561964039628 0.0628587117215888 0.0172241021579221 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.339415548607083 0.292728239006578 0.58023749437889 0.642944759757606 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.173984405066757 0.140431538286402 0.119362188886347 0.051880424276926 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.64444161571227 0.505162222430706 1.34589244254676 0.976273233350472 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.443586119229718 0.412887403805418 0.695291205050148 0.374186001420636 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02550371929895 0.686856089334939 3.02654310032766 1.47277973916156 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.724299320467786 0.695368365409145 1.86878152093318 0.94904927962233 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.318749021346545 0.269568894222289 0.552475899254615 0.623811193649551 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152363319329047 0.112066234127017 0.0946991720722768 0.0345794074813417 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.421365774332094 0.355678337701628 0.723197376906128 0.718584011137735 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.25525406394109 0.215806885201843 0.241760525108497 0.114980124022644 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.681830564976627 0.513786477604171 1.48303772609807 0.985876992745931 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.47892549830094 0.43138018496869 0.814316033842297 0.406188841292013 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.04469960980952 1.04664297588324 10.9406858159511 3.04728238265616 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.40006706658932 1.34763452254482 7.34108758010237 3.0640005072396 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.54714849551268 1.52833915369209 30.6600443904269 6.42929918876488 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.33592013552024 2.28415245581911 21.1371234259597 7.78009933775237 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.502887175899814 0.443030975861642 0.552099986434827 1.16288404807341 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0736506269096745 0.0587410563181843 0.0211166173364634 0.00535722321395625 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.505885325126519 0.447727913837073 0.555461145248705 1.17220587592912 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0759631180678687 0.0641116975525514 0.022863920195406 0.00647931430890034 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516217366131968 0.459815113303352 0.56619776867481 1.19361364514638 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0866087387915715 0.0813068043756061 0.0291207222281984 0.0110867573371061 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.566722581020618 0.496635324095193 0.618238660020714 1.2892122415118 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122666712722359 0.12528933125321 0.054183913304862 0.0286034570637063 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.841607447727705 0.620195656557954 1.09142089881228 1.72349855000654 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.304479212234704 0.318566291620701 0.302115169527901 0.204711973547937 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11507822627263 0.700861169698599 1.93128593403823 2.08745727908574 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.496512917642642 0.515577574034305 0.816662809206619 0.517228637848919 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.543803732850161 0.479824627471928 0.596021468563824 1.24223991590319 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108900162953486 0.106684733196814 0.0434971955429853 0.0201622838645517 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.649895573444405 0.540695144327661 0.728904582721332 1.42978783512484 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177830346752277 0.180931461015214 0.106736723837931 0.0629896411916366 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.875448966359326 0.628880550532368 1.17524319659557 1.76781013046715 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.330896679190564 0.337579011658061 0.35547322882097 0.229056610213035 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.80250755979753 0.885691224117779 5.61170344111532 3.09720287224559 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.966566957793032 0.978114722413107 3.32033193969831 1.61980918467118 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.80356851008783 1.18004628335696 14.7878570303332 5.05919080395208 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.62391506471139 1.63331286403988 9.89748901834057 3.95794218676045 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89689839094943 1.75639350207142 1.78501968409236 14.0299033942449 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0328385710447486 0.124767575656308 0.00211638211029093 0.0042536660509751 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89730269434535 1.75702251185494 1.78499334294503 14.0381730454841 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.038848295392971 0.12614480733343 0.00305248219148999 0.00520795799939291 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89848175374057 1.75851790362575 1.78463849806875 14.0575655560545 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0527579568205976 0.131107422132318 0.00597376609947264 0.00797543560594643 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.9034691000815 1.76347829589413 1.78622137234302 14.1230966175625 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0893650023810499 0.153159093424163 0.0196310683868133 0.0195420653763948 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95427466189318 1.7916214647732 1.89454728738389 14.5231364010082 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.251867862624223 0.317714508937497 0.183356105306714 0.160450376529971 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.04590354521604 1.811952020477 2.28432922061128 14.8330149531447 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.420262998312878 0.504522273629276 0.549239584656011 0.441957550078264 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90097704101683 1.76127235036971 1.78312789086719 14.0930380208149 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0753746088174386 0.142940714112915 0.013730497176767 0.0142872266552118 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.91421753343363 1.77187053584757 1.79345825905881 14.2354736136802 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138989708782147 0.196880409349011 0.0515202705578188 0.0472724020648052 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.9637297387836 1.79428171591357 1.92402437878645 14.5577019997007 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.273738456329385 0.33874272390405 0.22032149227935 0.187441115444355 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40584930602151 1.86770093549404 4.45577448421114 15.6100482488398 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.830650078579543 0.942308625730382 2.38114421049954 1.55336145935317 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.05808485274669 2.02516463204818 10.3810960167275 17.7716352307414 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.40238936057291 1.53236357881587 7.28172586234351 3.89502551991819 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.2456584707557 0.214060362728761 0.191924600709264 0.331696583086457 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0362138030290832 0.0229847098667375 0.00564390202735259 0.00119794566629619 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.250248852368767 0.22365894394072 0.194434313114923 0.340747603957101 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0435118589632891 0.034219459076372 0.00769258987769008 0.00260486459770288 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.265167132831475 0.238699028240523 0.202109275598878 0.356138808711179 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0612678411351516 0.0536932424656726 0.0137482721717942 0.00639319363158652 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.312614235904469 0.271094235572648 0.235659464768623 0.397512911823749 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105367279713784 0.0974014124905263 0.036897996771751 0.0210119482777753 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.558667112331755 0.372431136407679 0.601287248651702 0.58426680711019 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.293806344171495 0.279456778256698 0.287162675881487 0.15216586401304 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.838451254199187 0.464776596420546 1.38194194804193 0.807732339023267 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.48867318889735 0.470466948061724 0.841517384032782 0.37489814519605 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.294154066490633 0.258627327521948 0.220914064358581 0.379773083173424 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0907215104822585 0.0809699468328983 0.0277568798317025 0.0146477783984946 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.388206239389835 0.307567182716894 0.314044794655444 0.455161618198077 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.168126403905888 0.155013520063374 0.0912673425489411 0.0520277438063004 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.599681098544113 0.387335906686847 0.691227405625143 0.618117998537562 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.324836985931885 0.306468207949223 0.355288623033336 0.179447652213974 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59581394007821 0.711120231697662 5.26753323557295 1.63332966353877 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.994098501247222 0.971343612465274 3.74361647166854 1.32364760498435 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.63580696104554 1.05470451754144 14.7410933789616 3.32255193809016 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.6837564912238 1.66087416104833 11.0767814911713 3.46545196689048 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.592742377881523 0.549205839242815 1.085506471941 2.16742320725607 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0450281676294918 0.0369406518471391 0.00857936092953486 0.00307232149027179 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.598522732004642 0.559451885189392 1.08810407035875 2.19100582925324 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0519831469577739 0.0479196495875239 0.0108999030015206 0.00434424633861484 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.614518374869278 0.57432841634719 1.09587877466664 2.22512707030583 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0699330169180856 0.0672088226340168 0.0175753923018106 0.00848123723820705 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.65760109924659 0.602703525717459 1.12815770968688 2.29288586527867 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116060741463396 0.111811088758101 0.0443983781622485 0.0245898331946791 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.879151226582904 0.684094262453367 1.51669630133437 2.50537445300171 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.319427368890098 0.30982743362753 0.338411769953859 0.179336834237936 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15358801083481 0.762061422744627 2.37715209841862 2.7780274767825 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.531708056388402 0.518740325387039 0.984540290359549 0.453240096801648 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.639397071557224 0.592951489280776 1.11355007078388 2.26920435882113 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0969158164077087 0.0954091002185762 0.031950739826098 0.0177858250175672 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.71910922124709 0.631992239060634 1.20452287096083 2.36121770089587 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177370800849 0.174124672057707 0.102929846275943 0.0606635390033099 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.914244415287243 0.693703216687478 1.6091747990301 2.53284900782797 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.34534040124047 0.339472983096424 0.402948317747149 0.214377965565417 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89630915915257 0.981956370107922 6.58624949488715 3.82171659281179 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.05839074863864 1.04748056731007 4.19390890413665 1.60577277900684 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.95615693320106 1.31334684423118 17.0044079072218 5.98073842961736 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.78788265322561 1.77478672014259 12.374672805265 4.15883353009836 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.269105263118442 0.212769512602065 0.25592766722522 0.356034125015311 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0724861971553897 0.0385964130799286 0.0227080723922457 0.00388380779420419 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.27031316625688 0.216954041482643 0.257551027405915 0.359818606769233 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0743404319773104 0.0431751556901299 0.0238959707127909 0.00474052491509438 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.277187901546324 0.227067194144786 0.263580166313145 0.37066951032277 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0816346801973588 0.0537357915885468 0.0283091947203496 0.00726606379877036 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.303428778853328 0.25062211241569 0.286194525448902 0.395292906177551 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109172460922113 0.0829138064829852 0.046775655288956 0.0171916142057357 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.471824652065955 0.342087299836105 0.525379583688099 0.51933625982979 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.262068418341472 0.216474054292352 0.230749444019751 0.104338628663982 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.670632230797827 0.416780112351896 1.00974890310959 0.661183265535642 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.419735688832932 0.355491694189941 0.587658432515688 0.259474519302572 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.2919930596143 0.241928767749152 0.275368161830019 0.385802976377988 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0978738595330464 0.0710120507102482 0.0389661792774173 0.0125693834198533 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.349997145019955 0.281353111005934 0.334955669226228 0.431005185256267 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154887003108489 0.123117364040291 0.0871276610960305 0.0361678901126364 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.498379286039 0.35329117949128 0.576019390818684 0.537944546759346 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.284258522858996 0.23376398636789 0.270822962016542 0.120309106420048 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21053245986673 0.596372848382096 3.30175403868665 1.15595720520344 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.790049969471926 0.706464988318836 2.20661802711151 0.867087957413913 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01462922114939 0.84022466446507 9.12963724022023 2.12305384212811 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.28434351612505 1.20402157709635 6.13728609975345 2.18231060240977 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.389361909992696 0.343891705526811 0.469671497148654 0.803545884589872 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0686481007169098 0.0519138439626007 0.0194609855369544 0.00259834362159434 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.394436090263295 0.350103326567466 0.477482227813872 0.815995226535028 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0750698246473567 0.0584681633434617 0.0233594247521129 0.004279558856741 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.413907286981157 0.365788435769959 0.497907567455781 0.843365401743857 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.096351525519747 0.0771280443356735 0.0363549515436108 0.00948261732819097 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.485681213580498 0.413089495533474 0.59807902610786 0.957369240105342 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1573023760206 0.128900654058158 0.0862784597743888 0.031655819886038 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.888181228572259 0.604830935974395 1.55494080447295 1.603683691673 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.43071551719462 0.363627717791774 0.597433113193923 0.260271464651832 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2906826916884 0.72991573682713 3.17243699303417 2.10811843799965 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.703027873979611 0.611123465254526 1.64254679099051 0.678487071787914 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.457739376459709 0.395870199130251 0.555304022297188 0.914102410496864 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.134492738345648 0.110265475599613 0.0656210720170738 0.0222194835958791 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.608792534265176 0.482728274836379 0.830963947839213 1.16420326136798 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.244957860079369 0.204176436129925 0.199243625504769 0.0834879621585841 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.947315235880871 0.626217011481146 1.75475840453548 1.6791309041036 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.470324910703283 0.401752046582552 0.724843773956023 0.313566351435114 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.31856490005645 1.02537116002438 10.5512376999455 3.67815228270196 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.37243681689913 1.26225717385192 6.80673661755249 2.48658771680159 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.71089426773835 1.4505482671478 28.0378785577011 6.81431281102612 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.27535372447522 2.16739461993485 19.6532916156097 6.51698024793017 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59258758686427 1.47726167767463 0.783703569358066 9.45652385794644 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.023187581405171 0.0944714624135432 0.0010377481845584 0.00155851878580759 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59287897268848 1.47764812386301 0.784684421883616 9.4618134162239 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0353282199826315 0.0956879408435438 0.00234621565434177 0.00290134290108822 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59387327826952 1.47876279022309 0.787810866359995 9.47714364871188 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0573891771152994 0.105900838782998 0.00712504290784676 0.00725291607076281 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59801428766251 1.48280131001066 0.801519815818931 9.53400471443392 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105929909654667 0.147632437988085 0.0271063068920479 0.0265493489787791 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.66239454313565 1.50264173053203 1.05411582990737 9.8593560942274 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.307480426512076 0.369985797666028 0.269676893102384 0.247756332188043 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.81956668031795 1.52767879943507 1.72568828081749 10.2432579948714 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.514359508149016 0.598556323121985 0.827325641703284 0.64922274423668 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59618311442714 1.48099286004289 0.795598146931891 9.50831498236692 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0875094730398989 0.131477672088681 0.0181479868627144 0.0181088173511083 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60945731866738 1.48881395413568 0.845080978457343 9.62732536943244 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.168865072906679 0.217123468675013 0.0750366476113805 0.0746183511064467 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.67994677431551 1.50621051891309 1.12354142707102 9.9095623572166 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.333243935757738 0.40481158401113 0.323662314528162 0.298092067751872 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.42260197505644 1.67112939953483 5.23669827727116 12.0654504822555 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.0447507763121 1.16244244354387 3.84190424305038 2.22067111538587 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.41214292719637 1.92540288870862 15.0117093303357 15.3137441928161 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.79397540521305 1.92160281719133 12.0454623966146 5.51106653748767 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05108546836021 1.92177145917791 2.66779273195811 16.8962595020537 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0264897584001848 0.13347246963028 0.00534986598387045 0.0226005528806019 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05213677180109 1.92218967179741 2.66947386066011 16.9031363464694 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0383624758920336 0.135997676771074 0.00619049472391467 0.0239701809306187 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05336062113886 1.92166948873071 2.67823824450099 16.9000471330777 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0593443805689327 0.147172787122488 0.0110607420207168 0.0284715829101254 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05823502559105 1.91887687353853 2.7169252727163 16.8750830715619 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105321373122613 0.185467867608743 0.0311712861683611 0.0476733368317832 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.12465342817501 1.89314640762223 3.15300222997277 16.6104618616102 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.302278324441935 0.386618506424589 0.269258667525585 0.256939880065946 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.26584746704088 1.8818379596163 3.9625533425053 16.5294029225462 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.505017067658427 0.603445359570512 0.799898549598501 0.651198534998976 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05446929589964 1.91851035175026 2.70385044258615 16.8639296513522 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0861150902330621 0.170743742061559 0.0212694346755856 0.0394019507405207 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.06979964016118 1.91166420025496 2.81099847346194 16.7959643557752 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.163011609864039 0.246628488043979 0.0751340655053529 0.0928766518625892 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.13856406673135 1.89227984680465 3.23492380388232 16.5955655297561 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.321967448281962 0.41863865290275 0.30910361242161 0.305766513576471 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.77844628310059 1.94878221190029 7.55353737448789 17.4242489482789 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.988737879913361 1.1415005453365 3.39360682125322 2.23604433830892 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.65151768921461 2.12798148851948 16.9251410219906 19.7424096388353 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.6801935391608 1.86660470082538 10.4514076932527 5.5164821148796 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42192691019738 1.30619384735151 1.32367918258997 8.02303862557554 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0325963514273226 0.0985302003269163 0.00206570642072164 0.00304712019631189 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42413953653755 1.30622388197185 1.32754639203107 8.01973999290437 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0467938861029696 0.102545842420401 0.00460298303234916 0.00429180178673839 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42880122809828 1.30581424369012 1.33818055842826 8.01131582401894 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0731561569503947 0.11375019674653 0.0124745429578646 0.00805829162140514 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44352338358175 1.30389004231887 1.37869411170835 7.98612574988664 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133767409823492 0.151354222192095 0.046878408519017 0.0236771507636347 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.58041444382952 1.30737946260558 1.80445057738148 7.98066297322247 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.38839046207622 0.37027023595873 0.458690177647226 0.205324643888879 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.80638241556664 1.34665859887407 2.73368449309968 8.30088306584133 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.645464063184941 0.61346072986583 1.35549570530918 0.570258832569113 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43617386430595 1.30344784171992 1.36415834837441 7.98201398602306 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.110077750533822 0.135664466563118 0.0311134373213194 0.016501590490301 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.47360582320196 1.30192989228168 1.46497271211792 7.95225360200426 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.210516722548755 0.213130612651964 0.125000491895947 0.059345658153882 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60945914021325 1.31819891452445 1.87726287604629 8.07590848319314 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.416013675555601 0.397859294209356 0.536501217949133 0.238503958071057 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.51601095010989 1.4898001475718 7.49893075088723 9.52638628401885 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.24589449157538 1.20429820256137 5.53320840347181 2.07210865755904 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.64621126559968 1.76050846989979 20.3032590900701 12.1540134257666 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.07033635451084 2.02697497972246 16.0878795274596 5.4330527738891 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.230890489708057 0.167141667072302 0.418390502788629 0.456799191121547 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0984576856418678 0.0348176498801468 0.0396778491335907 0.00402069284256391 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.235117705841183 0.184821183204075 0.425606620542385 0.470998875573197 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101933596114537 0.0526931027005645 0.0442654973758511 0.00847446690468316 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.257589188073003 0.218475151217506 0.450017783093906 0.500720475659959 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123272115339572 0.0877794427000594 0.0630335793040962 0.0213372017020001 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.327818496658619 0.287517750665204 0.541706251845046 0.565816952913165 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.191642639646942 0.164758616665441 0.138354122101214 0.0682577644052723 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.715751949923301 0.538207283257405 1.62373393778687 0.981619511662374 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.514395302404605 0.486996332949911 0.926139807794108 0.493001374005412 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19976880035121 0.745078102197945 4.05333548770665 1.60456453016069 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.852728748248392 0.819774916222534 2.593360448302 1.24327015818788 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.30293420476059 0.264306775902572 0.505410366306323 0.546371586796028 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.166047668498748 0.136302302309177 0.106989227077717 0.0483970279328549 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.442007362743436 0.377939455496857 0.766805277880349 0.693244724980552 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.294166523644162 0.265573193546691 0.308930164632937 0.166170813676133 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.785644122155929 0.572282670989788 1.91175006669118 1.08152724374625 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.565152019888906 0.532255102123431 1.12402615059235 0.582940295574583 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.51462746638265 1.20906357106974 16.0172303007704 3.97192090349442 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.701346406545 1.65879762090359 10.879963181104 4.35160669541345 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.33764378392316 1.80441493247948 44.7561853470847 8.82580183670937 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.85447417107947 2.80484080810782 31.6219286052468 11.0558382547847 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.41970838849749 0.36892848674224 0.391456457906174 0.79358275997487 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0654035202654627 0.0585188958993565 0.0176327924087288 0.00318944248189316 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.425187029435258 0.375116212846983 0.397198270963096 0.806194655336315 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0700972476592637 0.064875980087649 0.020476343552054 0.00459080898134569 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.442925704139131 0.391828636817458 0.413928378776521 0.839864380958416 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0841722180025522 0.0816336765303962 0.0279289713409683 0.00886065177745763 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.505808193076774 0.434183377988728 0.48105606206961 0.939744280871585 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127316833586349 0.12678902934861 0.0578981970320857 0.0266879255519797 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.816305738070945 0.5681133659641 1.0453433666495 1.37849600071996 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.328170783257578 0.33517684415654 0.348865912395352 0.222380153616612 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11746178862325 0.655065110979733 2.03020801078044 1.74398077290586 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.534335806339152 0.546166319693826 0.94904118930398 0.568666036264542 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.479260061656962 0.419794935585725 0.451366637198981 0.901827271715556 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108635325401807 0.11206205557391 0.0437377946291216 0.0199490004515911 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.609441050300989 0.492470112087234 0.622439070382995 1.11316119177459 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.185980912911191 0.197839524628164 0.116941717788954 0.0740451039487581 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.858014689317217 0.586874019393312 1.16084249294489 1.45149865049857 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.351702376286462 0.375661409688481 0.402898679384016 0.282196567528513 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.92578060695502 0.881540780468379 6.66774378387942 2.96482542652988 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.05065845097013 1.08734259170983 3.97455134197386 1.96800431366 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.06624391067688 1.20770854601734 18.1850221505083 5.16906055585479 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.77762789128611 1.80508444535298 11.9568420033146 4.76632883081473 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.99711386933623 1.86440431168296 1.92393272699022 15.7456283423169 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0298699923508041 0.1166697880121 0.00299962565426513 0.00401435629961476 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.99752045418498 1.86489312724166 1.92412778981656 15.7529009358366 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.040188659636138 0.118101823807937 0.00452501386463433 0.00558506164365288 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.99889723846612 1.86645132889095 1.92499235966637 15.7756063128179 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0609225997205909 0.126788009372211 0.00933014875718302 0.0103728260778231 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.00526719536511 1.87267251695172 1.93187884918702 15.8667029848053 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108287040228539 0.164563675487393 0.0295363378343138 0.0303885631306565 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08069103551541 1.90827710691596 2.14822299028651 16.4213594678767 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.314908510893965 0.392693373549583 0.290431263720258 0.269748736429894 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.22679375808035 1.92599099692257 2.88238091229015 16.7238211452657 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.529317748114378 0.635319257475907 0.889113491420811 0.727023161823762 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.0030234529163 1.87071155275892 1.92748970700703 15.8358630488687 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0899311332066109 0.15045370928472 0.0205506256229395 0.0221873117218714 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.0230716541938 1.88569341716761 1.9587262705771 16.0551833532605 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.170812344113733 0.234958052405845 0.0800051062774637 0.082344697123713 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.10318833917012 1.91126948820104 2.23905222157094 16.4561004720012 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.340827121977527 0.430589937748364 0.352535231125231 0.330850543471838 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.80856174281099 2.04093203724057 6.78267799212538 18.4149672228091 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.0688209493505 1.22147226772876 4.09713404710147 2.56497660944228 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.75606549579092 2.28536413828295 17.1877404496115 22.1173504149475 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.83058166095328 2.00052316766699 12.7663132882354 6.37426483849622 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.208465123212877 0.18060079962727 0.154072817061911 0.24546203825634 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0365312886010045 0.0257535177142337 0.00599308580443719 0.00126040925279629 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.212529987219787 0.188060642966137 0.15624271070005 0.251348156556041 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0433877794845564 0.0340548462521107 0.00795110809567869 0.00235051649797554 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.228195959632996 0.202421364295856 0.16395630269981 0.264587306361691 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0604518842002012 0.0510580934720865 0.0137106730877033 0.00557350957005416 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.27579888018659 0.233840064605199 0.196417029620885 0.299652724356516 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104036408384698 0.0910045844816902 0.0362341996388818 0.0181140196392777 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.516430062329484 0.336704738991163 0.537372831792799 0.46781252876091 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.287520380941421 0.261192503774645 0.274042724416116 0.132322935527122 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.787003430109788 0.426171497014321 1.2598850684148 0.666179070093495 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.473000287282089 0.441845705857499 0.787329904157006 0.328573340432906 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.257869016519948 0.222849929681078 0.182394199261129 0.286881741276782 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0876213927741678 0.0757598822837517 0.0264404721107881 0.0124996202003265 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.349740753575428 0.270947026664993 0.269003346945207 0.352301664529742 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.162928146260386 0.143704956310035 0.0859758745148711 0.0441975096938828 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.551487666722057 0.347222500279339 0.612286395739698 0.488007491244617 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.313330530874101 0.283899284174923 0.328338031709997 0.153679713206701 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49368558638553 0.653435746697203 4.72873026796457 1.34521081083833 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.942412884383768 0.906335070190205 3.35197489693469 1.14816901885622 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.47878984325091 0.973196467676924 13.184467127224 2.78344719141837 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.58669584208479 1.55422968966255 9.82033548582037 3.01819080115492 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.608971325788129 0.568913001855125 1.10281596190071 2.2586035246899 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0474547359194095 0.0428096826815572 0.0100870194645864 0.00310411374518299 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.614044934322575 0.575425118072916 1.10580838958354 2.27418478470366 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.053585852271571 0.0500188385159996 0.0119290328909953 0.00422844062014905 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.629394967455424 0.587414178555522 1.11368207831073 2.30165089862318 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0712114622415741 0.0661304274525479 0.0186015605953768 0.00779675329966852 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.670857326227439 0.610777293783854 1.14604843752426 2.35188379027649 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116911006377853 0.107344431394807 0.0456327068549471 0.022327473951375 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.885936187131913 0.684908406458922 1.52538404101426 2.52646204677345 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.318086105889339 0.296153949995471 0.33508370671801 0.164509287879347 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14793210224256 0.753502979744132 2.36318542684996 2.73589252658246 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.52417028040269 0.499111031379158 0.95607589649022 0.422186364496034 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.654085925228333 0.603258129437187 1.1307835292311 2.33655455956328 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0995342415143368 0.0916502167894409 0.0336150194661368 0.0159669007528867 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.730397615781559 0.638269164206657 1.21925608192595 2.41303622641997 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.178948844559019 0.165852816645513 0.10445434234808 0.0543176029883209 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.913072326817165 0.694050711685991 1.60944717298599 2.54415580441665 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.343554669701171 0.324329599343707 0.395765866083559 0.193998895721905 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86928029492752 0.960138483689773 6.39424587004936 3.67161867531383 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.03351294000983 1.01796905607714 3.98966602785322 1.50645587549623 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.90608875195715 1.27768382843751 16.3440730427011 5.68965671442514 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.73979323664439 1.73065242805155 11.7138163839736 3.93460145627513 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.205010481448477 0.151734315962151 0.174923756532074 0.212500340822529 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.063356414965729 0.0253256820424547 0.0170878958795765 0.00154479404283941 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.208008990612067 0.161166453367831 0.17768370690811 0.218459390034989 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0680983415011251 0.0356682513163198 0.0196737988671203 0.00295443401695427 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.221964073946581 0.178358360791218 0.188111491627909 0.231393321678619 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0831187585484184 0.0552347248341289 0.0279931603950024 0.00712454266032811 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.271516343947834 0.217395764231593 0.231897785301651 0.268932650373002 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129103448065432 0.100403065232912 0.0607810841640792 0.0235576622363329 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.537844929407144 0.35250120455838 0.690300056322113 0.465635543122014 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.344468026083797 0.292710213098272 0.392042246924487 0.18173316053597 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.842031955480638 0.464406076188042 1.64237583155553 0.720441223652458 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.557074443847816 0.491853389386647 1.05575873986319 0.457147392460474 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.252567048803248 0.204255623775675 0.213241549467837 0.256205377989423 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112010803997414 0.0835805200576001 0.047154349463284 0.0163127746975285 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.350297519865197 0.265074403773674 0.328623848103808 0.325434666546295 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.197874219378827 0.160712036445136 0.133389182187056 0.0586903289624112 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.579428067084375 0.368599797620351 0.794753708138693 0.495888787213344 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.376910738417431 0.318804252215651 0.470504189279556 0.211200748087158 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.64790202264067 0.72832628340223 6.2344661414793 1.59173384789661 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.08576919607888 1.00319465342389 4.30272002912132 1.56237850346761 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.79137102996419 1.09326035843684 17.4898747641214 3.43105495579778 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.80573199050576 1.7245448173013 12.4346840540407 4.03440972769383 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.379626183403213 0.3396263147674 0.482304579110444 0.829843023826062 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0611581097197654 0.0417737537852025 0.0159531970902955 0.00156690153719315 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.387344790325052 0.351898961547665 0.492394515208816 0.849823858605608 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0713138896617198 0.0562402501074221 0.0212937468190832 0.00457297274396709 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.421011900125481 0.382608313791504 0.531381401694255 0.915871422740496 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100825093687732 0.0883973970436366 0.0386721332865289 0.0140169106738589 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.524144352418778 0.456098841232067 0.691564623428034 1.11648281283453 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.176430725660239 0.162222332720371 0.105253515643884 0.0532005108368614 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04139679976972 0.691814217365308 2.07909794669914 2.01532975028211 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.499913040163672 0.472978373747639 0.812709821710714 0.437955584572431 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55527932784655 0.840385414410806 4.49100133085154 2.74191467115694 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.827729894134311 0.793327416229653 2.32798961331133 1.11537720742024 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.479411904326075 0.42579113196816 0.61729684770402 1.02165774449095 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1477451351633 0.136217975603113 0.076657549589413 0.0370409259982147 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.686246431364052 0.548227868825061 1.03124399870643 1.43269128107434 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.278104665924694 0.263172348192955 0.253381041480029 0.143711559629208 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11267079879348 0.715630673717202 2.36310935896234 2.1251424845372 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.54377928438066 0.522245249285049 0.981227654566872 0.529209253036722 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.83007400319011 1.21163710208225 15.5223194167991 5.14750262310715 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.64754406642507 1.61953234213956 10.0481994151128 3.95863963615085 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.56339098642247 1.76019612663936 42.0548579384875 10.0593518381947 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.78475866223003 2.7563620022732 29.8958069527752 10.1486518938241 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53748216623917 1.40765982926951 0.756335864323595 8.62304381968135 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0256000343224489 0.105763688387319 0.000539517602774756 0.00182389078742094 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53783673870428 1.40801933654998 0.75769389283361 8.62767276930941 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0358273089545567 0.107056778858788 0.00177158918882993 0.00323002869834276 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5389053502461 1.40910158231419 0.761345676891583 8.64161302263187 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.05515686582236 0.11586121589053 0.00574052868102129 0.00771721177366416 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.54338259253403 1.41326780355504 0.776322983851331 8.69606187988237 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0997726775969917 0.155732284530605 0.0229015500212866 0.0275486239812166 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.60773987082736 1.43947323798175 1.00808126192855 9.0667733048478 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.289242275892059 0.379298496094073 0.237032101991704 0.253009309821029 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7619096347813 1.4681865804234 1.63823351184435 9.47992239864914 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.488341249285224 0.607617293015311 0.748715122615621 0.658143344140879 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5412492402973 1.41135858342095 0.770003451198621 8.67158898489338 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0838790292294701 0.139910022330082 0.0154143224316299 0.0190078682925618 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55477483418826 1.42038375067934 0.81815687461871 8.79568043760183 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.160543366898878 0.224827505458082 0.0653898700900623 0.0770764948432993 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62476328784918 1.44397008009264 1.07457613101085 9.13299502001565 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.318971160764465 0.413266717885846 0.29338676451057 0.306136608635636 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36122523878676 1.6092589462123 5.05887535209755 11.2623338593797 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.01494517308586 1.16157706045617 3.6488353535184 2.21452524523912 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34374682940253 1.85542230934125 14.6652215177637 14.3149837279141 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.75114519112218 1.90503736905647 11.5622927672972 5.42053552451361 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03513263376872 1.90219034352772 2.16231765925086 16.209708242958 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.023605723949673 0.13842332087774 0.00309059665270735 0.0191635517141523 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03577096561298 1.90231906152688 2.16353970183547 16.2129799688206 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0336957019161615 0.140655555692164 0.00444524168572364 0.0212008906049913 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03605650194043 1.90154071056518 2.17174540462934 16.2056856431328 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0519261408916031 0.151126042049284 0.00870881642576499 0.0263698813274715 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03769680831359 1.89748605299162 2.21037447300933 16.1628174933904 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0932080641591635 0.187738167200236 0.0260418239144929 0.0454482554005484 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08500998911278 1.87389723696723 2.57865299882627 15.9259685377914 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.265170635065962 0.377562936015851 0.209628743596586 0.243064135331209 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.19952030811016 1.86392051032504 3.24317944994404 15.8710581499705 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.44307958721637 0.582410988260348 0.615589866717751 0.61189403901675 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03710947637306 1.89973010500882 2.19145840930105 16.1882456122364 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0796140220597952 0.172812571163838 0.0191437080808069 0.037389256568371 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.04609208843677 1.89050408082294 2.2931830609877 16.0919235394419 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.151214971266705 0.243610073649433 0.0668328270559973 0.0878978578319278 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.09871404640117 1.86737611118987 2.67649653176935 15.8518600450045 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.296850358629021 0.406382725625262 0.261897023457456 0.286110419196866 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.65733103841684 1.90287714259593 6.43843426914805 16.4324973790892 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.91465901979257 1.0860274687695 2.88001696251568 2.06338265588966 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.45166019560048 2.05391809569931 14.6998837863526 18.368013100269 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.56260284324982 1.75624295893367 8.9762697768803 5.01658041722876 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40110067903196 1.31903977880529 1.34712276141277 8.21509289711133 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0286357723017311 0.0801662934328952 0.00190833884869878 0.00294443678959763 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40434683012015 1.31906666767627 1.35238145965449 8.21073272007932 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0471614676133946 0.0896113065659364 0.00568998488193496 0.00516341435232669 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40982301634823 1.31671215385886 1.36919452321778 8.18535969754286 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0809579356588779 0.112351550529713 0.0176553196581916 0.0121273864380128 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43175849956974 1.31395414449975 1.42971387350724 8.14987441756559 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154855009821441 0.175142507969599 0.0688380270165036 0.0416321059374077 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.64320232118347 1.33766736710561 2.10188888094135 8.30624103136746 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.465650917967561 0.477956882469106 0.701606865461021 0.363813991598357 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.96957732395153 1.40035315625102 3.65167928409411 8.82159254489648 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.784598326642752 0.797691068169915 2.10830107142981 0.979775907523995 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42032786482647 1.31307603620798 1.4064849812657 8.14632750673349 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124844793254306 0.148564163760451 0.0439348359366632 0.0277568598160542 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.47776711998091 1.3175340806607 1.55273145783645 8.16626919917142 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246171673371076 0.262495620598783 0.183583290816714 0.106534505892919 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.67548287824714 1.35134715129431 2.20158105368986 8.44003529597831 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.496265142037687 0.51142902369832 0.806188399678734 0.419393615985731 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.92548510141851 1.60222321530943 11.4293505075697 10.6365111910093 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.53153999004883 1.55449105548762 8.62357030610744 3.40313815331175 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.41066254471548 1.98918919513885 32.058120800956 14.8484669312965 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.58129430116273 2.60997284749288 25.4978342106592 8.77730773576929 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.251945033192001 0.175184070772115 0.451338328315519 0.468530324270172 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15547780936817 0.283111438800868 0.0989433754610829 0.324681079649247 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.255528854263158 0.189714038627056 0.457585661774755 0.480463252153884 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15729855302486 0.29183399982343 0.102716319506224 0.325927897650971 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.272971409220056 0.21904573983249 0.480048825184891 0.506091037723707 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.171071633373951 0.312337297288228 0.117304778468595 0.339292324364142 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.336835741009219 0.284792387535513 0.570026143268177 0.571201580807373 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.225916359864933 0.349193859981822 0.186597002676782 0.378637262169598 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.710782483304692 0.527222783670125 1.62583561920612 0.968450135789396 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.551509450909244 0.564902128578969 1.12998547645807 0.722731599155042 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18319904316906 0.726494964376415 3.97991582599821 1.545645003491 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.885109279870581 0.846167057233137 2.90814285390406 1.34171638942879 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.309804855454831 0.261544549789986 0.531744172853155 0.547451094080686 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201375859713182 0.338876218306248 0.152012510134655 0.364771501688641 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.436037915404207 0.369225807202929 0.773089027659006 0.678513450513773 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.315540194063402 0.409635184974823 0.359413897594891 0.454368978085021 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.759587566604144 0.5563454734289 1.83980176458762 1.02911120303857 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.585510367486618 0.60843077998024 1.27331988466799 0.792778484595732 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.42148706393929 1.17758735399021 15.0146885787337 3.75574393754716 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.66864858886707 1.62173180658659 10.5400129651343 4.14684784287427 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.16388514644442 1.74381310546482 41.444243887086 8.23143593971763 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.76152729612437 2.70561950087079 29.5884607549601 10.3286848592313 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.432497620502637 0.374337390948485 0.409949731190165 0.800158347714855 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.171422323507856 0.113066335970472 0.159404964383342 0.0407458238474264 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.43667119906369 0.378553106451628 0.415363916952632 0.809680455898604 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175690830545239 0.118548666914714 0.163179094700407 0.0426944964137055 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.452182786009533 0.392195883789747 0.430471813390104 0.836660426721271 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188774557202421 0.137850228500781 0.179442659407277 0.0501907171112621 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.511970694510081 0.432882824714135 0.495870379773694 0.934790399819938 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.234479087472865 0.201011536747826 0.257237608651841 0.0925797755081366 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810001862472228 0.559123367696569 1.04516548730052 1.33364509765358 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.484921625148963 0.449023438827657 0.996255900666163 0.424384243182752 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1064978568586 0.644580753718197 2.00901063214389 1.69252054829294 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.663174825288124 0.638714412162157 1.72895073646289 0.773690740347354 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.485235419462241 0.415219410954081 0.46574032570606 0.887348357324199 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.219254643723336 0.174801608054358 0.231045318482524 0.0730596387070028 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.605417430548852 0.480892460118916 0.626661218885304 1.07138962284978 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.318843571661836 0.282621036133402 0.45636642722789 0.179826936798726 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.845839426932436 0.569259603451058 1.14246119448232 1.37460151846107 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.506873527529288 0.467428675593282 1.07680218471358 0.453958746140699 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86743596453793 0.848695221813655 6.31081899119125 2.74209967786295 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.10247504839294 1.07924314488862 4.54113301201028 1.88673055024924 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.9556736638707 1.16689980971938 16.9723404487986 4.8064230117057 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.75226174293174 1.73553249894989 11.7874598372672 4.37109799288145 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01467739648931 1.8552401080635 1.94066895985333 15.5984148713264 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.273473834332053 0.181716376203461 0.465881248335357 0.0981010045960563 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01501474570939 1.85565001906267 1.94048080453099 15.604559198275 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276923185030489 0.182053802811179 0.472457261822096 0.0991384713737473 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01627646518731 1.85709588465482 1.94110294021312 15.6257680011123 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.284771174560765 0.185527751325219 0.489725497482564 0.100495044889793 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.02172047183977 1.86260058500084 1.94539638207676 15.7050417821833 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.304233317556796 0.209163496979991 0.529753223381307 0.113101524741526 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08664540675267 1.89697256078967 2.12136120894399 16.2294465930852 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.450389881043329 0.413936704218637 0.92990386675777 0.330271655332386 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.21444272030645 1.91842793010183 2.73587209422245 16.584948975056 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.615027302155328 0.647231238764317 1.49744482936554 0.736567207333845 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01938219603733 1.86042130575044 1.94515658087205 15.6739907819017 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.295144528495433 0.198199599445257 0.504798790209065 0.102644449345282 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03593473217113 1.87336559494713 1.97327118893553 15.8669043280058 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.345295482987609 0.269170871854893 0.61849815751079 0.160240828169699 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.10266187005989 1.90197894371921 2.19260215960716 16.314815007709 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.470793534411419 0.451000831811092 0.971117784750594 0.3828835275009 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.72811686470744 2.01082680114252 6.19533330408002 17.986039440644 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.08004342180283 1.19098474286627 4.2965057827972 2.35345859113632 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.58645497549166 2.24304755311433 15.2640871495839 21.4964540044155 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.77445617389407 1.91122136893213 11.9393195372105 5.70793991598736 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.215306779459589 0.180231561991455 0.158975187238572 0.241760589842442 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0806471145970084 0.126263106837815 0.0378807976570284 0.0554572553128759 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.218709938395455 0.186391383944543 0.161268811209203 0.246768993506637 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0860776237953439 0.133530939885047 0.0408612944675635 0.0581791044536352 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.231307861169237 0.198892738314176 0.168448125479771 0.257763900519087 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102377478253432 0.150131216097071 0.0506226584680261 0.0650424672473279 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.276298876652963 0.229413427608178 0.199992365573109 0.292430408136152 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1454747069638 0.193488165460267 0.0868514631588014 0.0925032408286791 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.50477625746584 0.327209279481173 0.520758613927396 0.447209178968055 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.34647707514267 0.358654450886793 0.475034808963657 0.268171231410699 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.760476797043502 0.412960366084856 1.18741158788748 0.630169562698176 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.520527465271875 0.502018680114202 1.05213400510679 0.440250141098574 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.259165408788693 0.219083870767083 0.186565996395594 0.279543602460572 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128272203548209 0.177861904055741 0.0697132626511298 0.0803961620582443 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.346741381817967 0.265883061442147 0.270612647751838 0.342543265209227 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209536980441137 0.251831189705811 0.171506902806731 0.143617451932118 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.543946438284786 0.341516789493954 0.601624180553213 0.476506126311787 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.369887157130615 0.378299338064409 0.534085260919109 0.28479271643211 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45719626099702 0.633601874381914 4.51717076287086 1.2771106013794 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.957625224085698 0.920440113500925 3.52762284550573 1.17902800208016 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40405341733121 0.940193061160053 12.4827850569975 2.59933377422988 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.56311427588317 1.51969540146473 9.5742070323741 2.87196362907698 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.61325663665603 0.562951664499281 1.11451068876649 2.21887133072899 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113073983891581 0.18313930146922 0.058534018999749 0.0850387535661725 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.616623548271318 0.568367713809621 1.11721581854398 2.23081439114621 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117990976865255 0.189225995364917 0.0620008710387317 0.089739545912606 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.6293138746063 0.579285592445906 1.12440657126939 2.25508143243304 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13183341885021 0.20304555812342 0.0725759216339307 0.0994055816116389 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.668603129962687 0.603323312361395 1.15434062934943 2.31181918080241 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.174722615245939 0.242573039001921 0.11835102699246 0.135147937969932 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.871821766464265 0.674427686294166 1.50238986623801 2.47976799007568 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.38934688152774 0.407626779497661 0.594085861576362 0.339647654476193 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11653110465889 0.738485198907188 2.26668337394772 2.66745103928991 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.578079245682764 0.561962368017531 1.27064267060444 0.557256591009417 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.653098694401244 0.594455768006357 1.14193119477828 2.28927674163069 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15634339930745 0.224818581876378 0.0960671584518753 0.116590904478497 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.728284869986754 0.629524500609994 1.2266711139382 2.37219523032406 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.240349226764847 0.294950674208276 0.221400472396113 0.190100959090706 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.902501778141162 0.682331176515858 1.58785363312071 2.49126646215733 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.410792340605314 0.426649657634695 0.650558437480085 0.355551066840625 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.79984757232757 0.929066260416255 6.00103227493048 3.47286250396073 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.04033664143401 1.00902474026514 4.08861760002791 1.48234900939625 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.78023631820505 1.22186539614244 15.1165320510638 5.22574589980651 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.69173820562449 1.65717792115858 11.0825424304228 3.62405576720938 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.215249981903776 0.156152550955028 0.184938427393472 0.216855755233405 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101329032373719 0.198460479154073 0.0480884787757733 0.129524880462926 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.217767777602967 0.163599894827977 0.187376876129675 0.22175271554854 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10525598330152 0.203635261550737 0.0518456720305054 0.131988835007363 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.229561666192907 0.179076594841657 0.197000493700689 0.234047962469139 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11913736873346 0.218351315938337 0.0652492350662483 0.142270785982909 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.273471077194732 0.215383194962447 0.237476923004127 0.269118633110399 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.164355519872052 0.257262585428767 0.116598028854431 0.178490629547295 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.520101335570573 0.342542209268007 0.654064506344352 0.446227290438861 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.399617692001714 0.419635084602469 0.636899158586508 0.411982605627936 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.803894812744881 0.451031766918435 1.51155378002104 0.679357619050865 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.601338171218601 0.567571030282072 1.36179535294451 0.638011898559503 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.25616554664872 0.203663158346602 0.220642017893984 0.256251634412527 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148147416056994 0.243298630191446 0.0964674587887762 0.163329239674329 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.348562185306001 0.263634455124376 0.330839673145781 0.324905396296281 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.241899583280517 0.315535452910986 0.242679902021066 0.248993466020903 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.56833102920917 0.36330354175681 0.77422290145404 0.486873252356845 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.430495056853974 0.442030323026191 0.725003108467312 0.433077844341405 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59822828758872 0.714005432342786 5.85004486485592 1.54709008813361 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.08248506688125 1.01781172691084 4.36720925583929 1.60687979470117 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.69226009058672 1.06094118122874 16.2211361736424 3.26905422964441 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.75133979058803 1.68077973308253 11.7743077476646 3.81308927007802 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.39283795352083 0.343255749227579 0.501781219443069 0.830370544995641 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123725864592145 0.194014802297325 0.0885403745011917 0.156112257777189 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.400114332786156 0.354472988662814 0.513235090770394 0.851955554604464 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131385237981209 0.202270593968556 0.0967569106382977 0.160186744831094 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426746167529293 0.379738108824228 0.546480700696559 0.902279864285898 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157079623037228 0.225724885968729 0.123727274146108 0.174662259323574 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519238236664535 0.44531523247804 0.690485897846504 1.07030301074128 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.229422653818273 0.286533499342045 0.220386537583289 0.227179324278099 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02393619933874 0.680789925278192 2.03018930008188 1.96397984939218 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.549172297658528 0.550584808418442 1.11198514427613 0.607024454748769 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.51665042515221 0.82731594160382 4.30835721720495 2.65722425329576 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.855485890145087 0.828200571445761 2.6353340894742 1.19044297526219 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.476615808036405 0.417348656547574 0.61980157313455 0.98506154609814 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.199565295462284 0.266127669696089 0.175071995495288 0.207919367829528 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.668242642508222 0.532291514493821 1.00748567561681 1.35617050627689 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.329303327457226 0.373236952059943 0.421356522934684 0.336064990357905 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07893262136707 0.701042143072072 2.26333874269062 2.04864630844846 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.583132019691309 0.58997377912504 1.24688845898339 0.694109010534453 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.71201699972892 1.18276528091869 14.3559639169989 4.88182609790256 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.60467502653563 1.57138672868038 9.57703200909408 3.69225806056369 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.35911940064015 1.70727091708482 38.4020276456 9.42757374092639 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.66751843493888 2.6403684996012 27.4202290369558 9.30695913658676 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55333062393786 1.39848185620423 0.76791662187461 8.51636286647063 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.344315834681806 0.146654241554507 0.656526650679808 0.0400216340498184 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55388703349819 1.39886463329877 0.768617960543853 8.52126004823021 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.343286021749124 0.146439491980045 0.651759047014937 0.0392254528663907 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55491272185622 1.39977201745145 0.771314843415853 8.5329535459484 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.343143849316617 0.15103311326575 0.651398027180188 0.0411087913116212 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55882352784054 1.40343666807009 0.783247809849304 8.58037218502484 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.350264016027122 0.179994802602919 0.667452261924336 0.0553785259082688 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.61358095441171 1.42825109819682 0.978627171195159 8.92849773258408 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.455046206899204 0.391547336990327 0.957059954135476 0.258485111388714 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.74972396435832 1.45798966204766 1.51211404966469 9.35200671899648 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.588835974197939 0.62589733547541 1.39870087072614 0.667773474306935 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55654117750387 1.4017878366808 0.779757283182956 8.56001280585716 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.349784102238118 0.167570457372832 0.670055874853238 0.0496038983112001 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5677035531484 1.41040940740858 0.821167296743234 8.67666946469421 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.382215595075547 0.239998919384651 0.75346443959456 0.0991419916061799 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62658990811348 1.43150172437463 1.04873080668972 8.98086385520909 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.476867755800621 0.42866203796206 1.01824672276897 0.318491467258799 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.28717304397706 1.59103410658998 4.52585265985091 11.0216549978473 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.01627853353927 1.14950953668351 3.84212958532365 2.09827139179433 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.19024975994614 1.82894653371938 12.8868677995784 13.97529932137 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.67126848323689 1.83447027465899 10.6648280306334 4.93812048696063 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.0498645226675 1.90003672484065 2.18585313611952 16.16104427703 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.214920006392879 0.168255246898637 0.375252142273295 0.0513564636723335 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.04996560951186 1.89968932018817 2.18705655172757 16.1572218353209 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.223123578099244 0.169784417600204 0.388224124784406 0.0518328772021427 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.04993205536724 1.89831208925886 2.19645034024243 16.1426252079522 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238105334378094 0.17846983508844 0.409319897130314 0.0570526686948484 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05256051033757 1.89557641197827 2.22878595165031 16.1179379824791 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276004182024525 0.213967652195094 0.478414881251019 0.0784338250403104 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.09680526800841 1.87224907994778 2.57889777002896 15.887547922478 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.436627428099113 0.431205225395853 0.909361490210051 0.325053208524251 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.20330627558871 1.85796267371884 3.22510895020267 15.7763249679528 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.58406143099877 0.651077149828245 1.42301012083381 0.764625841995817 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05126625285724 1.89695872339744 2.21492691487603 16.1312497383006 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.260447957457688 0.201324604327102 0.450338951475455 0.0717747657269501 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.0605193120801 1.89076199425546 2.30106874655673 16.0742099424983 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.324525565383326 0.280958619884018 0.591398217398332 0.136303294700532 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.1089865915256 1.87272179781851 2.64545083420108 15.9029106023761 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.45028852553144 0.470060411811282 0.961812657550723 0.40404681476747 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.62575290299445 1.90718418819828 6.1592015775075 16.5076661808719 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.954315106311113 1.13945893601334 3.45780031208393 2.28903796168719 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.37344047005493 2.04800395345094 14.0086538152862 18.3375392434762 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.53673545931822 1.76395463943845 9.10208465861059 5.15243280348623 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41746603386828 1.31319873255718 1.33838062446058 8.14465087563474 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238153871026834 0.112196410302689 0.417870908683476 0.0165832128369048 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.41971578115662 1.31269370099605 1.34422007865547 8.13723902586809 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.249444027079773 0.119042905151955 0.432977401569425 0.0192137192800703 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42334118012886 1.30957412814578 1.36252973969959 8.10634302629366 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.273342938871994 0.139424545611544 0.469863669839898 0.0283328094040935 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.44239695770541 1.30777048369677 1.41761137783755 8.08224831641255 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.326910472522282 0.203444889667126 0.56940221878708 0.0642096832719942 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.63279579661885 1.32951744533632 2.01828537009167 8.21930372118536 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.536034291633626 0.506294320085638 1.09356821657061 0.387026457886558 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93370496678861 1.38189246459081 3.42074301290665 8.63645806282821 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.795577189965447 0.797039564538838 2.25075202384416 0.927499957307511 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.43423909622847 1.30794789755801 1.3926729074287 8.08554086015754 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.306129247200247 0.179252865811702 0.526158747653156 0.0496875513861021 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48832805450486 1.31175943682629 1.53275184722799 8.10561706394545 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.392850995031037 0.301973415158408 0.708612317087736 0.145517784873418 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.67292718892145 1.33721170115331 2.16525841499787 8.29072414250278 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.575282394538993 0.551699721461672 1.23982045610135 0.465843430728652 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.87854139270422 1.58348720873487 10.9606808501194 10.3987085735568 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.51520526279726 1.54890717549508 8.48015950466957 3.27639063932164 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.31489007657728 1.9753985680881 30.2667341911427 14.7105156167878 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.52324140772414 2.57098451530509 24.3972737502743 8.34257385806949 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.344093289239255 0.239151410396904 0.629864367706116 0.636302580840434 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.224421071334897 0.444880093803564 0.191261041201354 0.556163266353123 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.346136340201625 0.245310592131787 0.634683545329455 0.640449343503399 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.225199426800877 0.445681473443602 0.193748705275828 0.558960071337119 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.355412219922503 0.263100563368161 0.653271918165695 0.659007493401097 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.232286725500657 0.455014489184863 0.207464410903962 0.577352488909242 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.395921373555603 0.312065958046088 0.732984779601001 0.71597780193124 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.265244582438479 0.479851785272712 0.265665658625992 0.639589469829425 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.6926779433904 0.52268343603722 1.62289954445778 1.07742335437662 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.531222507105954 0.651040322894456 1.10215670390116 1.09734431470246 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07840142277788 0.702797599286895 3.46764907145471 1.57277211199276 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.85458680682793 0.881293144545055 2.95525675135186 1.75548135808518 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.379254152201227 0.294849983825934 0.702464947951191 0.705892106810584 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.249964375634533 0.47236097501007 0.237616023645305 0.613162913408592 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.473590348136563 0.382041550266481 0.909681838430878 0.820038589539851 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.33266404451038 0.527071635319419 0.418266077491047 0.759357039782452 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.736285991290799 0.549649788626414 1.79756362101928 1.13374932901507 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.570741090609345 0.680495337196743 1.29751950324716 1.15542726722271 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.13205403034946 1.09523585588279 11.8699414962613 3.32841113724964 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.55763801822388 1.52049015728301 9.76226109697853 4.27042111732251 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.61623049195906 1.580643379563 31.2163615628192 6.8561776267345 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.55600517101405 2.53959305522924 27.0441614719812 11.3579529690253 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.647970430779296 0.547241138061444 0.888470127152869 1.66938107063235 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246659453114496 0.188054215202353 0.35225169833183 0.133198488533507 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.653187609553092 0.548884293250495 0.903337882942886 1.67345976682728 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.248087306817795 0.191477452480207 0.354636373780305 0.133578212962378 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.668782951806459 0.556573079358759 0.94997423593572 1.6965356848353 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.256644264901488 0.204353903426627 0.372672780279702 0.138405164231181 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.718597060213612 0.582522448695746 1.07207517856267 1.77927853495336 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.296058131887975 0.257729107575151 0.473754649487231 0.18177207953963 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.98854283917141 0.68375647775187 1.93407775807207 2.17426040776986 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.56494085877147 0.534711584255006 1.54309099062004 0.647502712365982 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.27137951469639 0.756711969795559 3.32177280789943 2.52554931782383 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.793249548937333 0.769628918535135 2.99824883101594 1.31295259753976 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.699451954650243 0.571286507856335 1.08279636949484 1.74237045737849 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.277967664805874 0.237058093843409 0.424452907072256 0.164627518752941 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.798589584930782 0.615956393353618 1.2867417095256 1.89920777698222 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.372697941754887 0.344800799250284 0.708221349346083 0.292242239941461 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02354855861496 0.689945016575791 2.14847274552614 2.20274218922004 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.590051917347329 0.565976074329936 1.6916112511982 0.727017487467775 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.98238479541659 0.939910050170299 8.66987341883261 3.58499241164695 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.2372065572204 1.23322228943376 7.10378221155896 3.24990667352797 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.0070897559455 1.22029563642771 19.9877423925768 5.55497577644305 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.91134646817097 1.90917746814146 17.6017569581223 7.96402656395365 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01200816407555 1.78582981144778 1.94511366361274 14.522389918445 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.414982498574408 0.262552797568762 0.964933054272539 0.201387818281544 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.0116538635194 1.78640785622487 1.94397188029739 14.5306816887554 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.414392192803764 0.262613796071836 0.964352359408185 0.20110573967935 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01258108838104 1.7880330902603 1.94707324344714 14.5525491849194 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.418023309188729 0.264767308837288 0.984261785107537 0.201934087353404 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01790904653599 1.79373546272153 1.96254570690793 14.6284936337784 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.430880086901922 0.278278325960348 1.04221415603358 0.208193845953892 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.07211146420208 1.82895285116647 2.19356444320167 15.1337379871189 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.550852959970709 0.443670385129252 1.59634237789809 0.409645936145422 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.17367040283015 1.85988751838728 2.80073001153087 15.6149125003458 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.709651705986391 0.661005889135647 2.49314509637123 0.8136749490865 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.01684179324274 1.79189773009561 1.95353617412395 14.6047264573462 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.426814681361547 0.274445975918658 1.02665438902476 0.208884536400929 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03228356346658 1.80576839122014 2.05508180616638 14.7992949665445 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.464017233502428 0.322752694982775 1.19117601363078 0.254793346224208 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08690086418725 1.83385992410049 2.24615759190297 15.222079256738 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.567849648224896 0.474490144146516 1.66424338804505 0.454793273687789 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.57324452183599 1.96619187211811 5.73856265290197 17.2632308498269 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.12988762759533 1.18960509909956 5.9007801452947 2.54440295808648 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.26238318546209 2.17751247667244 13.5279738460279 20.5159229978187 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.83141392702241 1.87609273338517 15.889159519415 6.26308028341808 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.28791325693534 0.228317548189124 0.234889078901582 0.345083851232571 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.139296864011736 0.197240035443569 0.104425058224826 0.135387417300172 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.291782928089261 0.23306520754237 0.238219537603203 0.350637044714417 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144637394911492 0.204285375417756 0.10993017282062 0.140222873069963 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.302142125523938 0.242806858583675 0.247218397809925 0.362040638467372 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157375670821123 0.216955049561445 0.122102959384412 0.146002909374442 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.3374799752435 0.266822039662046 0.282395991220585 0.393756193952355 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.192787399275359 0.25602136141327 0.165249785504347 0.173954666157459 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.541274918258014 0.35339925963999 0.625378029623789 0.5458255442959 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.391187038517815 0.441263427329849 0.661523066851262 0.428539223174164 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.775853062142976 0.431926411622146 1.2917634392973 0.72472468992532 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.577200646167384 0.594993083458723 1.4536108720487 0.721951956417458 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.320913891514229 0.257547298699482 0.265495807042004 0.380316100105797 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179054516470486 0.238438963620988 0.14737544346918 0.159241775040407 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.39439366867782 0.297661148233984 0.353666236692122 0.441237135587442 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.253128161262739 0.316262514566446 0.273138564649227 0.240194048738737 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.571463490740964 0.367173726388225 0.686657079017776 0.577227923441827 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.417197379515131 0.460967111404934 0.756651244627695 0.464707127417425 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39451727304817 0.638653094107277 4.2049757990759 1.35349804840231 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.995042960969681 0.975091454328284 4.2756012466009 1.64902036146845 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.23797709752856 0.913391839936311 10.9596769187832 2.53816292684398 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.57916048740983 1.54819372968908 11.0178547164168 3.90249756263495 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.656249222712757 0.573887088725127 1.22868459965559 2.27037898247847 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.172150845278313 0.242073196415842 0.136978515750125 0.136727171276369 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.661244901984105 0.579056269317044 1.23089994235009 2.28527169915039 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175718168186559 0.24682633237605 0.140619925331883 0.140709398788736 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.671719366143873 0.587438398019026 1.23987017333899 2.30468024635609 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184327200106775 0.259230453497437 0.151224871009447 0.150920627241985 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.70446569272512 0.606294802928842 1.27749590147002 2.34691543966532 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.218567075348207 0.296228452379383 0.201362684546717 0.191252518677673 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.893555377345757 0.678675017475041 1.63904826933342 2.53927464430359 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.431413232071996 0.482333218976168 0.805222727735721 0.49926674116218 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12438112989863 0.747198202739192 2.37660986076901 2.76365604680997 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.639925012400283 0.651170416034949 1.8025237365098 0.856971028814979 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.691804890135657 0.599197192590875 1.26240004325651 2.33018755574275 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.206401258331436 0.282574880038273 0.185228445245624 0.176179289771629 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.75756081151419 0.628773205266119 1.35570510680909 2.39774893080092 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.28378039554946 0.354703077637518 0.337487181788946 0.270380576407612 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.92102347072663 0.681514167349975 1.73681261141051 2.52924169486329 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.462150000818859 0.503686074163878 0.921610858030444 0.537710684433955 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.74136941589503 0.923496526520163 5.78776555084866 3.53887047621983 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.09552787229189 1.06238718115935 5.16086809632603 1.95077373517803 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.60645601395025 1.19751761284307 13.610183129698 5.18948605222919 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.75260463106996 1.68671503277848 13.5930897093155 4.65638955409452 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.328071655122669 0.243740361720994 0.333664614593369 0.416229326778677 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15427252209886 0.285295462341601 0.10910630772852 0.246781186452099 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.331363949941278 0.24769665956189 0.337466311701549 0.420329731701787 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.157610577353927 0.290130304037069 0.114069811264552 0.252084576940916 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.339872661034312 0.256349475238469 0.348210666806231 0.428244828895956 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.16726221297933 0.299988550937188 0.127293053217085 0.262989652688971 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.375096322247736 0.282751675932727 0.396099216983479 0.460593327556608 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.205128806585709 0.33541863763862 0.185839428762934 0.307797380166807 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.594758498340061 0.38994160377243 0.854077841238837 0.630863835789447 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.439224128131471 0.525640521715468 0.837813365540957 0.673207343104756 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.858885106599864 0.484697428936399 1.741931936651 0.845556614031709 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.664412102112663 0.693777059778899 1.90913788681007 1.10570655596998 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.363037244019165 0.271714391053294 0.383032980891013 0.447318898426882 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.191517558523843 0.319042622115228 0.163502088818962 0.284435737403469 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.441717358868611 0.316218657506804 0.52676807905966 0.507668899894841 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276574838130733 0.393365242308946 0.333264090688624 0.396040175467059 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.638452087160899 0.398060469611831 1.03836790188415 0.649085293839522 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.478964147530979 0.546463047352593 0.997120394086529 0.715509381280217 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57688943993063 0.71229148636546 5.91915895610113 1.57213679143412 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.15532916182848 1.10424506621359 5.61144987348554 2.39721328425213 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.55057971969157 1.03300754165791 15.0379037799292 3.05848458066853 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.81941763836838 1.76615937687608 14.1615923613489 5.68762922552636 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.460583081052812 0.383328352698272 0.589026165715399 0.930736743360402 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194377809817423 0.276014086514792 0.202182657960517 0.265541264394457 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.465455772829291 0.389854723480593 0.598853892319047 0.943051515585193 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.19980184539438 0.283949343743984 0.212136338174256 0.275125696397935 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.482559601442885 0.406312537830514 0.626966284561085 0.977434761007844 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.219029834635575 0.303668329144559 0.245189196536968 0.295203898905701 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.553139617873056 0.45701427676896 0.755785359697431 1.11498089276452 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.278306477490964 0.364722881932058 0.362127496924222 0.371812843514994 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.979399017535809 0.668443496950332 1.93659910404443 1.90421003385281 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.593623547944196 0.653818937225964 1.51683861991338 0.947991211560429 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.42725178947001 0.815576331027021 3.98578181419869 2.59380573431169 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.902849415074644 0.91176938016942 3.41930354161312 1.63155823662646 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.522604702982782 0.43664179859737 0.701410078129735 1.05931737675735 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.251661567821154 0.339868152195923 0.306672141645479 0.337008966319957 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.676128870770626 0.530960637076775 1.04481618197879 1.36121463559505 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.367447742403238 0.457952312291223 0.60532199416311 0.526125673022142 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02869809987406 0.68797406302912 2.17881485528369 1.97811388511185 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.626250100903486 0.685158457568593 1.7003099724899 1.01969989308268 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.48252420781283 1.14283779651109 12.3042109956089 4.54831538167996 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.58287004956859 1.56787332775021 10.3111306793412 4.04127814685171 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.91011827781448 1.5929194182827 31.302901733279 8.26184716326858 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.59269943207865 2.58453454664391 28.8401477195901 10.6127723277407 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.68545673447452 1.45389821266464 0.8631232613614 9.17252260245145 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.451042042732016 0.228100186830435 1.08822704021521 0.107644495918112 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.68515150781255 1.45415256532526 0.86675219420316 9.17623008738865 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.451053582190729 0.228975586104876 1.0922693500247 0.109555867296885 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.68593546852449 1.45492988063531 0.876696716598979 9.18723650528255 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.451005801784333 0.232854748264543 1.10029175956401 0.114360150961125 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.69049781774189 1.45858399418262 0.916465798695905 9.23637864940481 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.461238940751333 0.248958846544417 1.16363248972211 0.125560873054395 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.73908864118979 1.48398991833205 1.22054179660295 9.59605279020515 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.581147327748413 0.415291439511056 1.78952550280603 0.308230622565458 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.84802315003987 1.51482879680288 1.8465555349578 10.0482273545358 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.713229106549489 0.644181847543431 2.55874822066247 0.742347923409205 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.68913132069216 1.45643189238904 0.890828484815601 9.20756844665406 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.458854138292681 0.243741366674128 1.14457377738688 0.122261795006206 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.70013359125151 1.4639254297111 0.975364723528245 9.3107371307136 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.49518535249711 0.294751074886681 1.32940652838642 0.170433849846218 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7535559755053 1.48401267932911 1.32884281905962 9.60270023290453 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.600007028152093 0.454881235434918 1.88817313121929 0.381518874449795 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.29968746276221 1.62636763745188 5.01477006164371 11.5379880029016 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.09450645736238 1.14863307744508 5.70878061161239 2.37017203238628 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.04977406933786 1.83537805398135 12.7764912147954 14.3125362905551 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.73996204966447 1.81370996686325 14.5888247921186 5.97689330207639 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.14206732111322 1.9195303770126 3.05811026439201 16.8665789164104 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.349402514170759 0.26445636415625 0.931907781855758 0.197764885765847 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.1437526780817 1.92026654459006 3.06250699315236 16.8765939041332 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.356202186344608 0.265882172219916 0.950028409081857 0.19764077716431 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.14697717868554 1.92082339040013 3.07703919882524 16.8865657021328 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.365502904365834 0.274372718444739 0.972005935107248 0.20545755148084 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15555796686852 1.92086383458709 3.13536703396646 16.8963791306584 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.396064648327966 0.301903182557475 1.05956422027309 0.223201953073147 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.21939963040762 1.91258544438137 3.73693025799543 16.843563832454 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.557176196677357 0.501022521880396 1.74710035341778 0.510853987042005 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.33103374181104 1.90888064317362 4.83148050416192 16.8649214687697 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.71376244446248 0.725538954224824 2.68277210365401 1.07062916243546 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.14811931855107 1.9153325577071 3.11412028682556 16.8138623867439 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.38718229421606 0.292617531370592 1.03931010079099 0.220760645928389 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.166285170079 1.9117860677248 3.25017722253659 16.7774636011404 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.443046137608278 0.361069990563871 1.22791007137445 0.291884241882999 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.23281455708924 1.90940860473836 3.73994670494175 16.782246247642 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.571199063405706 0.538284508592078 1.8284844588354 0.583955704381539 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.71727333557077 1.95174820364437 8.41124918308279 17.4692165954642 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.10217900816431 1.23019343123429 5.98627624594514 3.08687776107149 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.38457836400091 2.0820630927423 17.2714322993078 19.2772570542974 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.74910100902192 1.88055523123588 15.5807662641144 7.43900355916052 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.47716630628961 1.28849122210242 1.40116428020411 7.84033622300138 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.385115674731809 0.182606129919923 1.01237990621806 0.0472229018982417 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48102193517307 1.29107569617057 1.40156763607665 7.85845775973853 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.392212480591733 0.187707622237471 1.0277113718079 0.0503923395973311 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48439334121285 1.28979609970751 1.41897179525877 7.84086597521128 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.409726122588058 0.202742691011983 1.07066083218361 0.0594687941092074 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49987444059309 1.28794261636959 1.4738200261634 7.81435405559612 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.462910156400436 0.253072707221652 1.238599099739 0.0970835429488497 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.65524387184368 1.31435487164787 1.97922943767405 8.01846649253635 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.674222570290509 0.54077527205649 2.14072862875613 0.463149769994518 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.90243497527645 1.36796205113202 3.12633377314018 8.48631013195192 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.879981897919417 0.825182783992512 3.28582069442862 1.02745968667122 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4935975229505 1.28626739820983 1.4537479478783 7.80570926579579 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.446746888533674 0.231992922654467 1.19310480314416 0.0810217981984194 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53762273200105 1.28911482434369 1.58320124548157 7.81480749119849 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.530480608857396 0.335960282685615 1.49586326448855 0.178304222030574 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.68786799346258 1.31468669686475 2.12538950055904 8.010437670528 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.694123476843603 0.574473231408104 2.22727291338665 0.519002691701294 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.6827376570383 1.56012913142166 8.86645386084665 10.218207313602 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.46839418253993 1.48344196425292 8.68777407842083 3.06186742393521 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.85528878751781 1.88584721567625 23.3486139292948 13.6661488708775 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 2.40595444111919 2.42069412418942 24.5287144840278 8.11829720336231 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819578764296017 0.787827872753528 0.802587346006664 3.31215682882361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104136449093912 0.103802286854068 0.0396836216070804 0.0488071173367664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.820418784767446 0.787938281235764 0.803275283852061 3.3124478667529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104410622698296 0.104133257730571 0.0398945633911848 0.0491105243580306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.820942685770529 0.788862536113237 0.804817474073398 3.31852767980971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104964418630769 0.105505875855649 0.0405976702488986 0.0520570201614852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.820891842063638 0.78871520115026 0.805374606966917 3.31598859286125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105163397619601 0.107085276062802 0.0406689462303139 0.0547650916010112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.82316918373301 0.793100170202729 0.804316143883041 3.33763167802695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112073533127246 0.114322904800468 0.0490772445239686 0.0638374744363673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.827405463924835 0.79747222292533 0.802433160489322 3.35335617623069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11960655420315 0.122166920161809 0.0578838537533511 0.0717753829229953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.818754918817542 0.787343589092258 0.801400260996203 3.30735633923484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105681185813683 0.10585415677388 0.04221112933471 0.052104216820856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.81896986252651 0.788267431724828 0.798031014712169 3.31067765337792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109073091446308 0.109105805015853 0.0468784204628393 0.056572723077413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.81990166122198 0.790628333361082 0.798575551775945 3.31810587848184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115309808136507 0.114940601305988 0.0560033967990875 0.0647043166133847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.830836233083482 0.802583979836546 0.791785383215084 3.3489668570234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148292599809006 0.1511292027738 0.0950687525662904 0.110279684245698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.846799854604562 0.818643090236077 0.794151096867393 3.4031196309298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.190360835213582 0.192781809772969 0.149868491610956 0.16760006059837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7255140445869 1.65793264875688 3.50633806315836 14.7176102869343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.442540743318149 0.442238673091254 0.673777884428559 0.912059609301858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7255145469644 1.6582906530371 3.4992729576634 14.7202137094465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.445200052885955 0.444844248068851 0.686051337940254 0.928738486136173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72699136802068 1.66020003878657 3.49952261955879 14.7431380258395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.448319269207469 0.446708111230782 0.705775519856085 0.938910866727952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72683791272601 1.66188453744587 3.5035859872207 14.7571936946436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.456109802050321 0.448977998923078 0.760056418875712 0.958132439317415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72637014170992 1.66144438951043 3.51869571671087 14.7263234327709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.475475467173568 0.469777454668033 0.884997752336473 1.08533564282422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.73355364544196 1.6682240453171 3.54810151434478 14.7887770572213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.490152072548406 0.483974400490924 0.961775614291598 1.1610166186233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72605243068637 1.65731209125911 3.51119040506444 14.6876978488428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.449113268967122 0.452670149725637 0.707764594892246 0.980834601322287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72933721014496 1.65930548859704 3.52693091953155 14.6958067474733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.455447421765655 0.455751340840378 0.737683203478118 0.991828660100192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.72840917808928 1.66112170619209 3.50671844659462 14.6981164567948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.471631411600459 0.470022833154482 0.820190752474968 1.06469482835187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.7339786039768 1.6678374480814 3.55776391267074 14.6785102514598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.519495194137177 0.524409490489884 1.04508727784114 1.36215747485437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.73770023849596 1.67548446505698 3.49674975983395 14.6441774306116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.574765537097705 0.582927605044111 1.31109480686864 1.66694489665517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.803654750715578 0.696797700680053 1.15845757195461 3.01523634269261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11343295111782 0.113139518853292 0.0740777072204217 0.0510466772215381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.802727915733079 0.69652344300263 1.15591736000512 3.01228516708625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113974022237985 0.114669387081933 0.0746906081747985 0.0543577360834305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.80329844833744 0.6965500933924 1.15745552710215 3.01191662732424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114359190091969 0.114361882226351 0.0751276086424206 0.0531120190856953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.804924403050274 0.697904389866791 1.15878265984736 3.01809261649819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116771854752011 0.116606758198951 0.0786892731364205 0.0550775822885479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.809616181845976 0.701286176297391 1.17281091151581 3.02781803420358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126065985489491 0.129693620790189 0.0958700524257132 0.0760592544842152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.806216908626656 0.703397200226408 1.16076764261736 3.02718379978219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137283140267622 0.140463103577075 0.116920449027067 0.0924148917624701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.805418262957757 0.698059934556257 1.16096879061615 3.02014465059308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116997446555162 0.117447187866067 0.0783534593309945 0.0571587509167912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.805223164016177 0.698036780215213 1.16230083487406 3.01745968403043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.122448186879437 0.121300746501485 0.0903622502669441 0.0620719495828179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.802586987129836 0.698559144674183 1.15875876910913 3.01330234853525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132094573496049 0.129162431371852 0.108046057961784 0.0748839033047618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.8060388643759 0.710180128665219 1.13592917616914 3.03682446069498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.16750584808149 0.16364055273684 0.160830207822803 0.115337370327608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819375793188022 0.724949338214577 1.1308643204176 3.0767052162533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.210398863874414 0.207742465756657 0.229895824992875 0.172119693676218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.955581568893563 0.908678968273553 2.0875426682284 5.31114184760773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0989502770133369 0.0980758055494298 0.054554864343641 0.0309843913848162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.954306940996657 0.907584383310068 2.078409040062 5.29848271389314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.100908302175271 0.0983463356414396 0.063560693791782 0.0314387937379392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.953375031458653 0.907033444763312 2.07471715184537 5.29216179320216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10239271479303 0.098572703033264 0.0705141847834096 0.031702520007924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.950992977955784 0.906297778576189 2.06748451172486 5.28284790575751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103623096623617 0.100975834892284 0.0725087049371752 0.0402398966954926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.950248363130293 0.906608645226974 2.05136535505011 5.26642158166305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.111170383901723 0.107728292801014 0.0823335687541337 0.0581396788933243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.948022188782003 0.906165627828352 2.02757214012085 5.23243822742142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119905637971624 0.117962155842533 0.0992047579017461 0.0839150462443229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.952481789891988 0.906988317739344 2.06917226206622 5.28675689491876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10255677405719 0.100809055962886 0.0655742378672957 0.0391146549934766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.949233954979609 0.905454190788994 2.0583842699641 5.26762474414017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104439153735469 0.10266271141295 0.0691258358855713 0.0429796415068246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.949682575683372 0.90595042157053 2.05230578927219 5.25117786960165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.109616113850174 0.110742350517395 0.0764907919221412 0.0597233623591609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.94724365514707 0.908123607825186 1.99228604118438 5.18110605691577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143326425276262 0.145603025563211 0.123979171876503 0.121937869766646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.954405602647767 0.91014771320998 1.93294231203915 5.10409361326695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.180563421739283 0.179103720560992 0.173264236472922 0.146877643717435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.996634570753364 0.955091643200486 1.48160008386227 5.05003980598124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129611960603991 0.128691980405132 0.0442722458795175 0.0467790943172495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.997364999572163 0.955625973087637 1.48039106272112 5.05383630506548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129943896945535 0.129888814167688 0.0447709939956716 0.048331008019713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.996781313251169 0.955321494843905 1.47746068086324 5.04800552244408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130866209376639 0.13086344069282 0.046087566331872 0.0505528510481765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.995865854900033 0.955286739337804 1.4766013990892 5.04512196905369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133298614106152 0.132918239492116 0.0540532105015088 0.0577166181836163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.997120767495608 0.957040624449961 1.47333359022423 5.04172204568444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.14312343171201 0.140895698670021 0.0767340238572362 0.0748616645410356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.994951823542468 0.955477047876538 1.45860221879436 5.00494694214316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152614002050867 0.15517322975617 0.0978147019229545 0.113257526946508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.998011699950381 0.955991119392555 1.47827966060304 5.05449626398006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.134178766532903 0.130137986378147 0.0547571663675512 0.0494416533358602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.99560187254341 0.9537205933078 1.46780419498996 5.02540331644544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.13783447818835 0.137074007408036 0.0650086370119986 0.0671460874439352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.99610985463823 0.955341518655346 1.47081067813531 5.02306828104925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145364786164511 0.14358827745518 0.089338309826022 0.0853040004336497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.999402886698406 0.967402948313696 1.44336659766178 5.05474363597658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.182521689077495 0.169302700723431 0.177241304890231 0.135507156721141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00493750508853 0.979232543846428 1.43481942744332 5.04939474629125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.22977169710353 0.217200501815483 0.28049631888188 0.245423870694321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02890090885349 0.836168568391786 1.75674420898462 4.77847444016566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.206502143002764 0.206850599368974 0.214203727539789 0.179324188514606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02866686063492 0.836339586490686 1.75627722537737 4.77914578266076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.20703538129069 0.207077884824567 0.21517765630325 0.179881924427224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02974382417101 0.836604258484665 1.75976110695846 4.78007543853216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.209852572789406 0.209047588830918 0.230082040036396 0.184777817318968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03262019239062 0.837481965394637 1.79072240792967 4.78309066692162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.211665484663737 0.212684621046063 0.228230388164964 0.202215639457213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02902788633781 0.841594072812955 1.78230556402275 4.79537377662027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.225910074280111 0.22878811871282 0.267086129691923 0.243737587274883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03040511862812 0.846732432324841 1.79503715229938 4.81211583017203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238491074365884 0.243127539516911 0.286588346768604 0.271081336584996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02926508944359 0.836996643610853 1.75557989116066 4.78131882308488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.211392478956487 0.211289361251938 0.233912593269859 0.191199495490535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03166083531926 0.83859998629864 1.78137623923187 4.78662126066402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.217176860076845 0.21703879122369 0.246949019504189 0.210135396902209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02979073779213 0.842246790090742 1.77922316393443 4.79721288157831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.227251574264409 0.228707392433308 0.267907045776488 0.240014694175428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02763889245254 0.85950077697274 1.744043100517 4.85400385225056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274169847495275 0.275340065099428 0.368718057936243 0.334976474550005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02636975291949 0.875229079578084 1.73178532190446 4.90482298955562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.32081911564197 0.319895084145446 0.478435705416725 0.43800961120718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.827498105959284 0.796026688696341 0.912786229349839 3.52307147032012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0854198706093267 0.0850673359311746 0.0194035048807179 0.0246262961558742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.827837577242787 0.796179051120586 0.911704937079053 3.52330442087519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0855397767160413 0.0856755911836912 0.0194679665698001 0.0254916012854267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.828582373388605 0.796612882076464 0.910638937140329 3.52462001207102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0865645439176754 0.0863698158181447 0.021443568448423 0.0264631057105636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.828757513072988 0.797072066651962 0.908450002860276 3.52543740577857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0896321706460624 0.0883310841735763 0.0273804526104377 0.0304920619354821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.830642470242332 0.801213105520198 0.911285484269182 3.5423446209119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0951158746134544 0.0964811606731125 0.034464952480649 0.0438597020470406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.832639177509626 0.805825840304335 0.906804432963067 3.55774589449251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104496661784044 0.105720693681035 0.0487893724910443 0.0559966847486517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.828099234844188 0.796296500747526 0.909323061254235 3.52237165458446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0877032371852265 0.0881589579022918 0.0231465514893568 0.0300664192376989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.828587187682717 0.797081720195601 0.90625291605906 3.52429645582147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0902977911930613 0.0910266610553015 0.0272991859621622 0.0344609499086984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.829590077940384 0.799475198500886 0.90272074123112 3.52985675236101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0973185046977115 0.0974243353504875 0.03875712142328 0.0452127080333489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.839697896337862 0.816998972244695 0.899936910100325 3.58597205337979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.133544609108033 0.132552485443375 0.0890895508954673 0.0896483356537415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.85519689467741 0.837053119805096 0.899221792462717 3.65079955127521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.182693864341267 0.185407823386122 0.156697888717752 0.166714822329405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57025580894858 1.39820734683346 3.52051668608583 11.5828482596828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.338602114603973 0.338160417331071 0.566067934850829 0.429851469083277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.57010503870996 1.3980897493766 3.51679553241083 11.5800702430103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.340468687382134 0.339809754609141 0.574515855443444 0.440184748231373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56934117828029 1.39766877169315 3.51221455810291 11.5709641854715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.341584729847301 0.340360562644023 0.582364092742313 0.444888673212037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56805776928454 1.39759095654064 3.5166714562073 11.5751851801047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.34570743312976 0.34322738003818 0.610985874991772 0.462395516995108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56103884181643 1.39579912182213 3.48741730226123 11.5165545976473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.354221063035869 0.358510278664816 0.646070449203867 0.569459968321926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.55341809303218 1.39332406169443 3.46739507435113 11.4716652302226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.362465960532894 0.369401896989399 0.673520952240329 0.634671022472213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56703428185684 1.39641455717054 3.50386461170785 11.5507247312463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.34325291436791 0.34391545373134 0.592139964730161 0.471685717019073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56762929289207 1.39712283523343 3.49938341666695 11.5502279861222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.347537520740389 0.348233970654976 0.608698640088044 0.500982404079451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56476410498298 1.39651803396802 3.48511227142401 11.5163052934362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.356910913459293 0.357368827349695 0.650537804821518 0.558782414597166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5543047323302 1.39922887305854 3.46603164006341 11.4910419821929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.392003107406259 0.395638722781855 0.770892635593373 0.754886379162779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53988814144125 1.39687536261502 3.34689888902002 11.3013677466972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429066968924807 0.427435241402478 0.882327853217674 0.869826188004727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.739777873376964 0.704661731930422 0.693332944301769 2.83152368794929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.080977607751669 0.08179321782279 0.0227762159046486 0.0318033092108546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.739376126007873 0.704762545049394 0.693547477566349 2.83223417136142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0823959425976003 0.0828070460251979 0.0251594032452852 0.0341281957757212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.740189582828839 0.704848418894235 0.696509361896479 2.83205061209478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0833542993104007 0.0828183301016089 0.0266746399796869 0.0331932982389649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.740013650433145 0.705467335922385 0.69443845403581 2.83361105661014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0855472419499402 0.0849583046669596 0.0302557866014851 0.0372099319154739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.741720262687482 0.708916070215714 0.695851716063984 2.84112937877939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0935529135447777 0.0930206227171932 0.037677638561895 0.0474606917108127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.743820700567013 0.713781173385943 0.692589402493637 2.85490619298609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106659676051116 0.105507194731344 0.0513578102241358 0.0605335506779498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.740385179060963 0.705339616032114 0.694757309959662 2.83366461001305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0835722338873161 0.083761882617729 0.0272644077935848 0.0354278756743169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.740428393269353 0.706054453383513 0.694211089339317 2.83408234727723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0871921807026735 0.0864586128433322 0.0324245992420157 0.036521467355473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.74351522126624 0.709945203097342 0.702890758660338 2.84519572874587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.096047441247281 0.0962821332031082 0.0419487376469975 0.0504620000339314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.754593157189388 0.727627247882223 0.701119202969403 2.89911839947157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.134426589025992 0.134241662921381 0.0762666027386263 0.0833606383087512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.77083360853569 0.743408441702661 0.703216375224007 2.94651385407838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177268038315527 0.174639403069508 0.125325204674605 0.127831923609592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.526877266539482 0.531555595252518 0.383105152030821 1.5254462784768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0492808033883499 0.0493946179456574 0.00614608560963564 0.00868457476400734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.527242114010431 0.531927735017592 0.383267450702103 1.52691974252375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0499279247446956 0.0500396056081771 0.00756225717520078 0.00972668610311291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.52698471265967 0.531722602950251 0.383779222499003 1.52598395082214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0503395379704352 0.050320744069569 0.0082016126539253 0.00996103155630418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.527183637972317 0.531891767651549 0.383069785432946 1.52605641833096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0507207232808477 0.0509068713450014 0.00790534402684671 0.0104871396039674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.530043114070381 0.534307517490886 0.382353019705889 1.53082928863567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0580198253824388 0.0570573920588233 0.0152015165411001 0.0158598951281146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.533472416691445 0.537526350480045 0.383145091429989 1.53640375015496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0667314719949526 0.0654403934587249 0.0200021668486923 0.021377672557323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.527532553977575 0.532228476735402 0.383157023185058 1.52733286934855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0501779713573039 0.0502646484852654 0.00734721251637152 0.0096455745816767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.52795342130034 0.533164956364711 0.382271174171338 1.52954610664641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0516715997202063 0.0515532023729466 0.00841199172820533 0.0105645254239662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.529307296404903 0.534659831508898 0.381472075905706 1.53086920772392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.057535258057852 0.0576487812267862 0.0140019280476179 0.0156905300569499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.544908626473391 0.549402039279912 0.380943884292759 1.56205913925352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0918530800998921 0.0917955335414712 0.0359348448046312 0.03696949499699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.565398923846423 0.566654849045772 0.388759159997542 1.60201144764543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132390492656578 0.134178809495095 0.0693898287308468 0.0727486753768534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.894871238489503 0.794277920710308 1.14014399943094 3.36698371190297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0870002765510989 0.0867282940888123 0.0310180646879611 0.00865681125868797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.894826884598413 0.79450939221015 1.14038040844769 3.36756663546483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0882840529486605 0.0879500098613541 0.0330215277041673 0.0102218588760442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.894792642456737 0.795358902522722 1.13894090942973 3.37090794152017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0896700341920235 0.0891839919239614 0.035466511577659 0.0115556419375512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.894229030823466 0.797119864642683 1.13698009116789 3.37539981223294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0929631253228144 0.0927716313344994 0.0394420929272701 0.0147080458369578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.898144727949914 0.810168093405422 1.13951586466626 3.4206458356321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112633067473016 0.113700591311031 0.0588093134124521 0.0294859495749436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.907192175183195 0.825277580804128 1.14733185079591 3.47406021882023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143282003292901 0.145255591952984 0.095290780389962 0.0577288495007394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.893842290664373 0.795615750639404 1.13598543491165 3.36822996105702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0916443960304569 0.0910662708832346 0.0369487765769197 0.0143968213861159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.893963993328183 0.799830839698783 1.13404621521526 3.38204686177242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0986017475147391 0.0989756191264842 0.0441694054584138 0.0222778172301697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.8983911982153 0.811132758005168 1.13937602149106 3.42113018807555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117126403524107 0.118287619976194 0.0632344131270108 0.0366832387435234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.953825470814193 0.862179984413038 1.21468136614969 3.62216779797119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.231687026921711 0.233443251090761 0.229810586656373 0.15394042461571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0292998370095 0.904907906125506 1.37562620176033 3.80615815342105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.366109579886481 0.36866265960851 0.547019334979362 0.379109862610399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87767545543875 1.64032176467846 5.31910786039185 14.7222448772538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.215360640457127 0.216241683319505 0.179284003231989 0.0742626970529676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87778350830673 1.64190690980191 5.32631435046627 14.7430409339437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.219560682397867 0.218511322668916 0.206250494164637 0.0815617960840887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87774670483873 1.64249750454358 5.32714940883078 14.7390773078034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.222469905466237 0.222093394657263 0.217528678345773 0.100248498026309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87770911691538 1.64458819592705 5.32087240492263 14.7547506308609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.229073410998542 0.230280326998136 0.249151738737139 0.132323458951755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8725269884214 1.65651058818982 5.29947890942556 14.8569507342703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.260380711267404 0.255185668564104 0.413411542456391 0.219131277148813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8715460693981 1.67282665558838 5.32861750979611 15.0034649611957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.295325342942212 0.285138571265261 0.566639092858347 0.335539259202414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87623161822216 1.64374993258751 5.30321492247842 14.7488294226112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.229968423302411 0.227580328819231 0.273451042505826 0.134006382290253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8769499666962 1.64716054475803 5.30681114219888 14.7677744042189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23773795553308 0.236630686020377 0.30439110414882 0.169813555590768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8756836915795 1.65872734670624 5.28177961133324 14.8624947755194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.264355216789732 0.266669053321214 0.458663679905894 0.321372674895654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.88967780558765 1.71908415778025 5.31839584021066 15.3895033615338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.382680778718126 0.379782832785115 0.984853208828956 0.742400811433589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.93196972197748 1.77675301943503 5.40986212825646 15.8817036913805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.52187470491841 0.51859585212374 1.67133793428265 1.25331757698936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01700259369028 0.864829527329655 2.09543119229384 4.5642666752528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112320633761227 0.112335134374847 0.0595210582521378 0.0223971866890547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01679801713852 0.865160405183016 2.09314013599851 4.56543015431702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113204006266034 0.112966494712538 0.0607994590027031 0.0230398301185471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01525199770055 0.865400627920128 2.08856891371721 4.56458860587194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115473622064223 0.115275170193504 0.0668764688390173 0.0283225655749023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01480539640889 0.867562233126474 2.08507696147309 4.57296315827251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119278100129422 0.119415482461021 0.0738038691784006 0.0345745609471745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02079493827957 0.881453478690313 2.08189962117978 4.63021218118028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144873794674701 0.146415019275061 0.114112054864081 0.0716273812773106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03147351484051 0.897575714981249 2.092369422214 4.69703204035129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177487120397514 0.179289530714629 0.172807443083469 0.108205685473292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01632423069599 0.867093609092 2.08754210989511 4.5721344417893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.118514610333356 0.119541458155162 0.0746757721015534 0.0384923853549411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01488165570225 0.871060527653471 2.07548341680194 4.58637793778756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128364120281458 0.128174306498615 0.0931025234717947 0.0458902393502299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.02045288770292 0.882612304716569 2.06991425977351 4.63130267417588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.151508519951154 0.152909287032975 0.126817074290701 0.0805069834224209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0714045402421 0.931616902052419 2.14893629496239 4.84298174980217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.268155364243613 0.269444098711495 0.349218378984211 0.248491946209646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14444063152137 0.973891769088137 2.28348671925745 5.0590648699181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.406234843174685 0.399172562909937 0.756229569695877 0.501850512878932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06435412310273 0.993834695334349 2.71055850955115 6.19789337696576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11126104567936 0.110512718609214 0.0593799351570834 0.0118872173294917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0640270142723 0.993950301420975 2.70839523524405 6.19853043379422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11166246121041 0.111006271477169 0.0598050436389121 0.012268012386855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06497250057087 0.99465128853974 2.71053741020806 6.20185738915315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112197263193304 0.111424979233724 0.0604906019299836 0.0128613305682076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06391244483626 0.994427213139176 2.70517487217721 6.18585029356238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114538353212089 0.115370900151486 0.0640119486457206 0.0242330157613778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06645123947253 1.00081613159347 2.68053520939917 6.17795141974189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131834080116829 0.132907365434534 0.0960116709422796 0.0451356484066084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0797557535633 1.0106909178663 2.68123010841837 6.19701717529685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158940620752327 0.162345604074307 0.132588939965227 0.0733929591034065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06136665432768 0.993799912942261 2.6886144940222 6.18010533014304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113561162516046 0.113783048838482 0.0625890281503881 0.0220002746319427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05967391920034 0.994306585180119 2.66273786625583 6.15469858051436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.118188844010726 0.119638015113303 0.0690384803828505 0.035033922733358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06415556531304 1.00031489570259 2.64054955701181 6.14988124299637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135436255468439 0.138338673712256 0.0925227274357601 0.0663158635595243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12522987959259 1.02576640219341 2.66264297626294 6.16592826043553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.246019042889644 0.245383997026448 0.269311608941549 0.186965090380599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21274183358384 1.03608534751287 2.8095278277998 6.10024498484533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.374843615229584 0.374410163042934 0.57778466555986 0.396262476400622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12262487492434 1.00439370815693 2.09430155468253 5.64066760748763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127510317161806 0.12730848740953 0.0625595361858571 0.0156605212313289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12190355644525 1.00440472994758 2.0940259688913 5.63906783902529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128138245769596 0.127998989401914 0.0644796269569525 0.0173814143491328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12120090008126 1.00480803015855 2.09183841187605 5.63985450610333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.129561882582458 0.129324424878637 0.0682290493654416 0.0200226391735241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11989721304587 1.00561513283196 2.0852589249883 5.63921922275693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131707085658535 0.132093774525906 0.0736446883404038 0.024647345081157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12442698329547 1.015588748485 2.08990043821824 5.6820347976831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148969475672697 0.150623726021784 0.10501173617719 0.0518326671452002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13189700018169 1.02645023746107 2.09508780313337 5.71490702017267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.174636494375845 0.176301515788077 0.154228454144947 0.0876702016527494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12195944609714 1.00528102739568 2.09149004611357 5.63862715416371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.130739593770242 0.130878560803524 0.0703074583128175 0.0222641094545168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12069408018684 1.00722999030502 2.08646012849638 5.6413108336143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135776545146329 0.134672139543479 0.0817917521400592 0.0267431867690994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12126547564633 1.01397265428887 2.0775441055237 5.65739953274595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.153000307758273 0.150680803623562 0.119302753372933 0.0522842341144089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16045605152608 1.0547680324154 2.12715189358323 5.79654589278999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259032787801384 0.258907059136692 0.334025371714939 0.20746644660791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.22978469251149 1.09782246826486 2.28552765322263 5.96930589855517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.392299440556423 0.388621822308966 0.695189657696566 0.451009467437503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08027882992033 0.915044823957094 2.67693464685797 5.52879486779216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.103354540574561 0.101974269189279 0.0583047906918572 0.0188795677466344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08218361576775 0.915590374653151 2.68526663761946 5.53034109637385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105628478289982 0.105690905393884 0.0629073605940915 0.0294756200150866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08209276748243 0.916929013258851 2.68436605365028 5.53506951061418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.108195326592111 0.10713611052888 0.0670265621988842 0.0292852119784638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.0809278638725 0.92085783513652 2.68028653622726 5.550232953569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114620140904165 0.115132389268782 0.0775760157129707 0.0451901597105119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.087179651645 0.938666690302864 2.6926200698431 5.62323333405176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145620288974668 0.147007816994538 0.127945197904626 0.0888640858621677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.09942145096491 0.955875125393717 2.70176044273913 5.69497735594148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.181207995787386 0.181617074100656 0.189307115963077 0.13763096496849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08305809743143 0.91971056217523 2.6883468866897 5.54654377788494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116284083843881 0.113234265935913 0.0945829734022671 0.0409337411126697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08245870133253 0.927206678509632 2.67953956385481 5.57685897502438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.127591667607928 0.126060108480493 0.109567826201552 0.0586793594467917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.08836781528554 0.942216511452333 2.67289455593943 5.63923709388469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.151630013056486 0.150971805038575 0.140411488522059 0.084820969233786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14216696462937 0.9982804659442 2.71478131967435 5.89737287954747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274941380350432 0.273196504978507 0.385790444575919 0.25146943150564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21800877211609 1.04743932701131 2.83676614007961 6.15184692706894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.409538005817584 0.410730655255211 0.765037937295322 0.529085672116976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.901324154093387 0.800358197928108 1.26156123728433 3.53296816010115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0860480197920073 0.0861152203486712 0.0292883086678041 0.00764707920070152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.901130128142434 0.801043413028927 1.26027402062836 3.53608722350262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0886898322911087 0.0869544618192971 0.0364058375955984 0.00907654529285389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.90118423941577 0.801816048768325 1.26029673343033 3.53912517452319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0891897681141599 0.0888183468677732 0.0363907296949291 0.0127601160132818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.901360305258006 0.803816921175146 1.25933422366544 3.54606741672703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0941296127457173 0.0936376824460036 0.0461535847917421 0.0206982568762557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.907640646889461 0.81732573013029 1.26622066691805 3.59349345089955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116468695043476 0.116563850973132 0.0762898008371084 0.0451740777023994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.919385539919329 0.834610239233531 1.27948809989496 3.65747081445779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.146144171899577 0.146704741139393 0.110950763418058 0.0691123615818153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.902128883446935 0.802699733209805 1.26327931571095 3.54103900707275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0910666738807869 0.090914243393357 0.0397959616701498 0.0161460185151737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.903154509097052 0.806173107113565 1.26305283603155 3.55055020219956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0969574925201246 0.0982029259188928 0.0463138034311424 0.0254456922491016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.908436806409887 0.817662077845823 1.26986212792934 3.58917092109434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116605348037485 0.119359837168235 0.0696143510670647 0.0456594039387498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.960450634545604 0.871673598678473 1.3374892732112 3.79006436040625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.234503314761934 0.236228322371827 0.24896809545387 0.169110486503002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.03531328234896 0.921030162847962 1.48876175986112 3.99856696471597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.36685360979241 0.371873605116045 0.564596560365359 0.393270197238229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49631328643728 1.37648454197099 5.22460831022687 12.1572074220024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.153259271581839 0.153056698569136 0.108105554808726 0.0310530479207599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49576954626785 1.37628550908969 5.21542115703699 12.1480072372001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.154591718754395 0.153834642576013 0.112997155943745 0.0337256602280782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49486730985401 1.37568916306799 5.20584252101227 12.1375655289434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.155845679857896 0.155656037063543 0.116528953435709 0.0422067723965424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49373709744937 1.37579362707897 5.1932353819244 12.1321081213479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158438000979895 0.158962007571109 0.122567041474045 0.0525252029117431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49324423678721 1.37949614714367 5.12959272107062 12.0911647834398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.17651802588594 0.177497632102759 0.163012359980618 0.0893358961576809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49995440058768 1.38649396646399 5.09786912246905 12.0924450240368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.202551930207717 0.202709698514572 0.214419490736648 0.125797690947541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49263520709612 1.37390056424121 5.18352729924168 12.1006889718791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156753918258549 0.157174806713913 0.120309735155969 0.0435825003407528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49342292040252 1.37609191556287 5.16946770430062 12.1095520360232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.163074471461199 0.162589550845412 0.137527207184989 0.054529768516014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.49782734553776 1.38241477694359 5.13536049121771 12.1205502280745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.180642120476123 0.180188429679428 0.17607836602004 0.0844209002948522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.53312614120561 1.39867393069923 5.03122070238655 11.9932427239731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.280077087192259 0.284878956820469 0.365569223086569 0.264414113443483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59473616001914 1.41305498311155 5.03849418644375 11.9020279190719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.405755640443193 0.409137772628175 0.703420739707123 0.507408707981856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.794370335849786 0.714468223258054 1.01392580316974 2.88326162629131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0528304809586562 0.0531405627907056 0.0134406551938632 0.00388797697345528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.794148888770255 0.714873324083139 1.01312777372898 2.88448070260089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0548665979928911 0.0551569563836593 0.0164576738050658 0.00687109186557816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.794032311952425 0.715999558707737 1.01292540607895 2.88783588222731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0562938764216947 0.0567312776455795 0.0171236110638296 0.00724026275020689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.794985112317941 0.719718712332714 1.01291842366545 2.8992406074337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0617124508128416 0.0616477330318038 0.0212191257784765 0.0097423348409669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.802226195737909 0.73713214284234 1.01741652316476 2.95379202633215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0902027263342486 0.0906665311203359 0.0422659747358343 0.0260269201827741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.817820611294534 0.755054683689314 1.02998813156856 3.01502594842135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.124279654684376 0.124781468913292 0.071991312848217 0.0475701490602678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.795129199962314 0.718186167210726 1.01494702685359 2.89401035661849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0593812863014931 0.0589907094805217 0.018925076739297 0.00704256610358566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.797512201831701 0.7250539892422 1.01805594742179 2.91477264223352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0694425221332833 0.0695450384018445 0.0261303260763304 0.0141266460778959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.805575002149595 0.74019141312799 1.02233847962525 2.96395806829149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0934995898220085 0.0938311667629664 0.0450397560976033 0.0273347057817043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.870231315483451 0.797020476936695 1.08915741214548 3.1733010816327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.213298796564716 0.216437345748237 0.185709264128821 0.131580267754044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.950954211077049 0.845817507505344 1.23037551874235 3.38921214183879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.343163514882221 0.345939598861813 0.464044315839664 0.314085056613796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.576518684643702 0.546228772926958 0.510926707391463 1.59356381612736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0522669994258145 0.0522232405373755 0.0102454692046706 0.00300833231212257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.576763919278417 0.546600475425127 0.510949159033628 1.59442149711004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0530930216600521 0.0529049767528883 0.0115608110677769 0.00357590411336469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.5774600489901 0.547498074149564 0.510998853257345 1.59739621736446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0540449961098223 0.0538489112619039 0.0126248863262134 0.00459999068256813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.579167414529448 0.549326269665439 0.512632909351783 1.60224978921308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0566851953815119 0.0566682610084633 0.014912352151567 0.00654902533110317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.591173595618534 0.561221629516309 0.522717033179964 1.62887872616103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0804775636682917 0.0800955640988338 0.0297828502862429 0.0168393271906997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.610672058137905 0.576563181870988 0.541267162966894 1.66585491226551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113067329221918 0.112829479253652 0.05182124987045 0.032231821147004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.577977920784062 0.548152053981868 0.511908210675156 1.59908981686276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0550921943786717 0.0551930292428394 0.0127898214847994 0.00549933600205538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.581816631520575 0.552403873574619 0.514004242947993 1.61006996036397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.06255968427608 0.0618947749475328 0.0186307798898753 0.00872304081657737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.593730256214242 0.563545526857481 0.523560045580893 1.63710924325581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0848406219227799 0.0835462423132775 0.0326217549624369 0.018379562264978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.669515726750252 0.612862540685394 0.619596103273528 1.76534306153084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.202326818085871 0.201720159864088 0.152588587673259 0.101735758850449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.770516982639028 0.655648259371825 0.826951285748467 1.89076671281095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.330790378793274 0.329719694951856 0.408329098211187 0.263118083715509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.763401896422028 0.642965669018678 0.9480507747583 2.27379376628571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142705605719591 0.12385596836504 0.0997108366097325 0.0364659634536394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.764082013028833 0.646430360594579 0.949320779942538 2.28669123024187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.144620740861481 0.125280432986705 0.101783142528487 0.0368026750367995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.766336430448508 0.652648296953143 0.952749184578634 2.3047883670919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.150006077525042 0.131404822278663 0.107900642677329 0.0397264841757469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.775222925608023 0.668769858559624 0.97199238196333 2.35423089541096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165559981003426 0.14898509773667 0.124623425963277 0.0463506566140376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.868829938961592 0.744585127890501 1.14043569132107 2.64042958782045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.277650696711554 0.26872437526442 0.288031465721475 0.142046847870461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.01596262672285 0.816226495437194 1.53180730330964 2.98451049113922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.420508395717822 0.417245903926885 0.643570798992642 0.356422311299996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.771874463270331 0.665034952196815 0.961396703077768 2.34357282804724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.158381491268341 0.143275329916374 0.115717390921652 0.0444896675858646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.79854489595382 0.695299329342012 1.00461875956881 2.44243920459662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193961703614871 0.184297318561843 0.154783911745178 0.0676458684881713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.890198034049443 0.756642138169441 1.18866016118962 2.68555319064114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.298762315312359 0.290013785247799 0.326676773802706 0.170174871182834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.47197543215147 0.970641362276991 3.37088005469371 3.90959527119778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.816679240401381 0.81134730331145 2.58693220084978 1.39749880780056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.12034557702975 1.15459565127038 7.73123658993423 5.19676382895532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.39747767548039 1.38451331087156 8.27806585567332 3.98239234450781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62382960500316 1.39012130438808 5.96346572531442 12.1216883207102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.284838220495089 0.237702326435053 0.390606358334638 0.117172822004376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.6235151291318 1.39171449845421 5.95734238569994 12.1128737524964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.287285259210186 0.24336155433019 0.39549288493094 0.13239479770111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62658075717544 1.39841494579087 5.98198813745184 12.1637003028544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.293145991464908 0.251763684369316 0.409848930369761 0.147277413827813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.63145290638202 1.4121960965683 5.98879397214574 12.2401540284901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.307640981034937 0.267706366882195 0.442277079185776 0.165611706649478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.6873143074652 1.47921527907278 6.14571016425845 12.6317595881684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.397923692819342 0.377411256206795 0.67505809018374 0.417957716336792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.78445561683326 1.55123608853311 6.52115622367836 13.1161361499017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.522676707250082 0.513796052452868 1.08392079690905 0.740549605400825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.62869484315919 1.40606173667106 5.96518398024188 12.1952369519679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.302574853372376 0.259306918597697 0.431726899407859 0.159169512826884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.64028301123407 1.43195840694682 5.99920334323093 12.3465949231507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.330485398466435 0.295123109485878 0.496409333686362 0.204813767577991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.69053282079408 1.48654488328837 6.13247057898109 12.6440887195961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.411813943516805 0.393042543585919 0.714292289235893 0.403938399772673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.08609986069641 1.6881447756428 7.97784516140986 13.9215704547896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.880378008930477 0.909528226611299 2.99852254855926 2.13378719746923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.60617767387284 1.85066093786125 11.862055941309 15.1791394522542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.41769819568578 1.49151059813973 8.03292052820241 5.5533729574001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.837672990191163 0.735685238202762 1.18985453115508 3.03927669812813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132645768997532 0.119155974429863 0.103337816974775 0.0303409070447065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.837335201049716 0.738013463862586 1.18812166966074 3.04466755956055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.138142752143478 0.124070901282318 0.109024399326433 0.0351274182599038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.8408314838001 0.742064591487392 1.19076678912696 3.05604672928099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149716056746086 0.135014846566979 0.121147201165284 0.0406395644210892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.853216404261371 0.750849856234466 1.20955379417824 3.08225433960664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179113326003476 0.163374053844643 0.157347172554685 0.0559654585978339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.958004456997323 0.786602056809737 1.4039973451602 3.21675441524047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.309867113782535 0.300245029074067 0.380011028888763 0.167743741441318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.11221011522508 0.826356686661645 1.81245165319815 3.39574298360124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.4596566400647 0.44970858110932 0.80305408328672 0.3717314722462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.849135854874162 0.747745784302467 1.20736495992464 3.07256134145501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.16648199847926 0.150826771722673 0.140985257922244 0.0452848649855807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.879924475733273 0.763528032767298 1.25451406192619 3.12841184739174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.21757513534599 0.202359171915543 0.211336372915347 0.0754987308396158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.97860420534005 0.791730294053282 1.46133346656134 3.2402718523314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.329583895651923 0.32001200777054 0.429800811212071 0.191006379371098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.56022568817491 0.94320572358923 3.77500585550785 4.01395893330753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.873172904737957 0.859175755686733 3.1051647255638 1.37115136755554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.19705635592217 1.11794842055745 8.37703850059843 5.03734397054724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.4885891014172 1.46802995627725 9.68980154459682 4.0785128759194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.531887289800013 0.493690845543566 0.286281148409621 1.18627098793575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101201900389681 0.0891285039183825 0.0512966662340336 0.026053632990906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.534090033051972 0.49684023508535 0.28859331758889 1.19340280208735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1062380067158 0.0936304106247798 0.0559815376821873 0.0282339357993047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.538764710440357 0.501370812146948 0.293146120114163 1.20147421048323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.119301296324484 0.104852648443279 0.0676344666062388 0.032769787135636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.552852136406464 0.506082577946168 0.311054117470862 1.19931302490025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.15834714607221 0.140241571461147 0.109796352601039 0.0511895085714899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.682112056942871 0.508873708041518 0.548963188809563 1.15370127452254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.302194347843638 0.285171685469096 0.350471099250898 0.153670674407832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.862682423791961 0.522521482263889 1.02889165236863 1.16830959635858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.449969944377833 0.439620959967068 0.765707203563895 0.351033127165503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.546621392826949 0.504441665697557 0.301612921547584 1.19949248515282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142894645892796 0.12634753275273 0.0923054030447921 0.0439650723366433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.581925973596198 0.50865017838051 0.354729557876369 1.18547128122421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207095216191627 0.185990466625572 0.176824503867143 0.0788329473928498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.701334797168386 0.507950344953399 0.598992069050708 1.14097918625711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.325594433104861 0.305689505925607 0.406292175360196 0.181090589738367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.36374166030124 0.642319998368573 3.14580551718272 1.60392102759816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.86213764733977 0.855575541691402 3.06000914797688 1.31136685842976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.06108641513043 0.868436690151187 8.01676301701598 2.67313401814322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.48887555629129 1.48447614261156 9.81485838920064 3.93528681392215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15052289400352 0.99600397532157 1.92696119303296 5.36420849848396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.184637856916202 0.186915499191489 0.152499119611054 0.059096381438467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15079440357021 0.998720106182333 1.92843257979475 5.37978411887532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.18845336378355 0.188338871057836 0.162315272449405 0.0621396085733177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15163315769132 1.00151113462679 1.92977725140024 5.38501743491045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.192448047605308 0.193997026606684 0.170456610755033 0.0699173402712862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15961578084271 1.01277219889688 1.94822461551195 5.43824944565952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.208120115623851 0.2065933560155 0.197672285156166 0.0805419993531731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2298378585778 1.06750775824537 2.13555010098356 5.7010304257325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.312284247925747 0.311051354780362 0.382149361422252 0.197316289387037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34593517088456 1.12320806501828 2.51756544446194 6.01384624057768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.451673384876951 0.45124982204951 0.765177673000393 0.423935850867914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15676205847741 1.00992012042983 1.9393596661949 5.43435175638101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.199195871390792 0.202088055911314 0.179725066719317 0.0801880803832983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1765491416122 1.03194711467117 1.98203906207789 5.54320279556277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.233536510521734 0.233293264686326 0.2357405107353 0.106679465593665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.24250554090853 1.07660327990627 2.15681026550881 5.75881909031528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.329023707317456 0.333232255762923 0.423385856264245 0.23548070590946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.69797927700296 1.25035670722155 4.20708763373658 6.83245413901435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.830365151997844 0.844591865222933 2.72203222276128 1.50427737391575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.26729330806477 1.41116124183891 8.23020609208581 8.12349238163206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.39771741738755 1.42299655141781 8.28566715982702 4.25730042412341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05174129193591 0.886332933298126 2.73373464433601 5.25191028438132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188692762381265 0.186559734301493 0.20837051180885 0.0644105889138405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.05460764893496 0.892737250568 2.73659639445783 5.27539869032787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195362398136665 0.19261895656655 0.217119608913439 0.0680624798971194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06071501638313 0.901611244697415 2.74023544135132 5.3103080358575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.206296469697225 0.201905434996948 0.232358053576395 0.0716728307015832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.07724823266603 0.919621297047237 2.75215184911629 5.38542404641228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.229322813563895 0.226337266402546 0.267904743063111 0.0887345702000309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1836974373731 0.987340057039814 2.90770937971257 5.71140236863999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.33844778910557 0.34151098691415 0.487963599860401 0.218931276393212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32587156643834 1.05107110831736 3.26081171362817 6.06998795392121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.469923652150446 0.476771741676639 0.877360956217918 0.425888255614032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.06905418563351 0.912872574472832 2.74257390606594 5.35585043942794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.220175821431135 0.215891762723681 0.253034892699526 0.08451878376458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.10400441150582 0.941554569233054 2.7786155922896 5.4815708026423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.263084257111185 0.259062778671441 0.327575045651564 0.121657532904921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20046387610734 0.997068719202893 2.93562180801249 5.76072173275537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.357264207879203 0.35618647165853 0.539372752711923 0.24059712288468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.70917812090902 1.19730982385565 4.78526938908194 7.00754801847294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.849503106441016 0.849064922446836 2.9178031995035 1.38926164943367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.28525444332321 1.39146683936855 8.70678497016254 8.46726442995041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.42760306289463 1.41798785951351 8.76852740043302 3.91750961669473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.802819993254852 0.677942920688333 1.0142073880099 2.51816025586259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.142674725013406 0.130549958669441 0.0994039291682997 0.0389041226093266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.805223064934559 0.680543579852569 1.02025448747535 2.5271290655498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.145597716580146 0.133985154618178 0.104312317458133 0.0439200912514988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.805688211386205 0.684128435782368 1.02622488232942 2.53481433113605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149853954528925 0.138381494880919 0.108956856717486 0.0457779459698512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.814931441776965 0.700376250620799 1.04329138781804 2.59149524788754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165511148533804 0.15470878540239 0.124967406004759 0.0528430012404604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.902828876343283 0.776102713729199 1.21132887718963 2.88423584397481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.282967447219334 0.27653200092122 0.306797938098358 0.159177557671428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04283778585352 0.857612719663959 1.57949062401677 3.29609589215702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429341317924868 0.424266091445665 0.675490950832781 0.374818371275025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810757971287365 0.695316467131504 1.0296442272556 2.5764106587239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161891667413226 0.14953538015964 0.124100986444977 0.0506656431084915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.833422700017384 0.723960097426662 1.07058029006007 2.67538340270741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.202145765763697 0.190442914778292 0.176191355354912 0.0808879283622082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.916515981273654 0.787607008034013 1.24251642242684 2.94315040693284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.305254009938774 0.297066433682419 0.352125263990606 0.183510048105208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.46558335527683 1.02547564108527 3.32453863889053 4.36871525656487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.819976352963405 0.822766391975707 2.61235654250513 1.42125388388704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.11684273979474 1.21621011392052 7.59044821769068 5.81549030537481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.39320151916588 1.39879735374084 8.12523540992126 4.05238625770704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.19964935261764 1.06382991613725 5.66205560925356 9.21772883899151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.190983999419405 0.17858577572741 0.169038562298405 0.0711283510764321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20261550100735 1.06487886425099 5.66654020656696 9.22079253147515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195291396311758 0.182275332179088 0.180952065117732 0.074741682634092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20565583317371 1.06813919437467 5.66392698747781 9.22716539343909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.206573646402292 0.191136744364223 0.203599011019359 0.0826191423988713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.2191488827627 1.08193934502041 5.67190362262186 9.28176474601671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.231713710293221 0.214912020931756 0.246412867352376 0.092511987424824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35685641425802 1.16441519102767 5.87495505785615 9.75993644193431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.344801666740568 0.330249799235585 0.482867294383691 0.212772365941831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.51810981031347 1.23200498583798 6.31250098597363 10.201675143471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.478894803541863 0.459929646967145 0.864581446977528 0.425551554749524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.21109941171187 1.07579297595161 5.65682595299741 9.24554524103622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.21986582328339 0.205956308177184 0.218220298244991 0.090318669483553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.25245881450254 1.10845939047474 5.70411065984318 9.41983657728103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.262653391776097 0.251567754029629 0.298631638803556 0.122908778336278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3742921588673 1.1753819130201 5.90131231217909 9.79072233193859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.3572884191559 0.35104599362015 0.504759229257105 0.251250610579031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.91200236949884 1.36759726136116 7.88670096026071 10.9170341176954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.848145692754712 0.845676068899625 2.75001130025612 1.55470363540413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.50279999260669 1.53948171950124 12.0458136662239 12.1397099553179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.40798352072422 1.41919569034189 8.04084087241033 4.38725692891244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.517376318308003 0.422230195249861 0.759859552460458 1.28484443496849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113370693874037 0.0932415641901132 0.0668201929521175 0.0272486126913156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519682286899412 0.429690486049944 0.760453717567336 1.2986781724854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116804450161756 0.0998936416172935 0.0700038972576582 0.0292708749582109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.523910255441043 0.441297927349402 0.765707395284379 1.32052448583062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.123999295456777 0.111747495022946 0.0774319207951043 0.0337664621488465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.537678927604992 0.46566628323365 0.780397866702045 1.37032677018233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143792322133166 0.138252933629124 0.0971998209942895 0.0451866455415579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.649514025558236 0.562887883989903 0.927774014482155 1.62073363234279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.264895710256257 0.267088012059791 0.262905257998009 0.154093850109888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.801735112422979 0.654750341960557 1.24883082852346 1.93382503887984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.406400589044939 0.411431414632664 0.582409767832698 0.363638263186604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.53187752160431 0.456473325524355 0.773305939722203 1.35044625201914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.136224073968913 0.127835626593895 0.0894923902951079 0.0403063235896036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.567687737401705 0.497111466083968 0.812827053468398 1.44267162925341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177490577490509 0.176008187092355 0.135305395393941 0.0690260906315253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.670816983985135 0.575168341141507 0.966389710921021 1.65769225272152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.284270581823166 0.283245666780868 0.301769102409196 0.171092097576048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26294641349056 0.838823973105431 3.00954445722283 2.77395733812542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.773754795458042 0.778871372500404 2.20999166434721 1.28482019074043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.94619799033084 1.0385155683814 7.35762734626241 3.94809506549652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.29582552746443 1.30896352045354 6.67191670610657 3.46566749044512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.498123923432776 0.456040883669862 0.407263086152366 1.12522059505577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0819083178418698 0.0645258081915303 0.0329771784531593 0.00907128135098417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.498488904217302 0.456493144909888 0.408313427963365 1.12403586036667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0846143753813899 0.0667017683025236 0.0354324570779276 0.00959065696883212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.501807124805974 0.460855648705198 0.411841734453246 1.13146204287039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0907832190364851 0.0743392186300626 0.0392675686038466 0.0117889092258999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.519147379211198 0.47761897714288 0.427346901436717 1.17011852535663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.112928280239852 0.0998517640592422 0.0530871754065375 0.0197370181554142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.642883816107269 0.557094256789792 0.607903628272123 1.40550044366873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.244967789532492 0.236963972625184 0.206528471997164 0.111245438333464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819478392422954 0.630812919365183 1.01367180957014 1.68725238560453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.394039211054442 0.387504410408105 0.540035001816334 0.294870609395082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.513443094522047 0.472742818275049 0.421096511772786 1.16146403824104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.102444876295563 0.0897462648822006 0.0455970974736709 0.0162211555855837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.550936248413134 0.502483036697456 0.461318999523205 1.23616791003309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.147699134778506 0.139985609412605 0.0802906932478309 0.0394080777839632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.66533366974221 0.569472760186476 0.645770381129255 1.45239798027954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259348116024549 0.255113316778563 0.231401438385346 0.13199802294914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.29294606241808 0.778475863610515 2.78408291191655 2.38691054315914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.76604130425431 0.758471173732176 2.26462068440295 1.08793826103271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.97378660444647 0.965988418281832 7.15541803514214 3.44707318092251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.31010307424842 1.29593078682948 7.16867118941152 3.01288897455299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813488230068176 0.772081073722883 0.746454346468482 3.15921149434583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131491460807584 0.125257111326398 0.0501641425808321 0.0738244448096594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813644287458581 0.772201838996181 0.746575562467948 3.15972109564786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131560009930284 0.125963547685551 0.050220537044523 0.0754279288585521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813309686958048 0.771886996593776 0.746834500040527 3.15747045201364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131706923813887 0.12547986313821 0.0503083529932224 0.0739834048776572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813355357907526 0.771765579106585 0.746714752469782 3.15559511587046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131881000589071 0.125847638077801 0.0504402004752038 0.0741666943660667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.816605082157167 0.775946392038818 0.747167450988312 3.17613107381891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.135622827288217 0.128598990414606 0.058067602575453 0.0758116539295051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.819756749267143 0.779688280000501 0.753739728701341 3.193716967775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.139199412057386 0.132354503345926 0.0595547237487474 0.078296461223015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813989097066032 0.772842429356613 0.746965815335675 3.16347280636394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131741798326071 0.125503170276624 0.050339461288279 0.0737899770444276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.813283486037385 0.772488733945434 0.746223296226892 3.15872349591323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132207212149976 0.126105937705998 0.05057707153576 0.0739966307765643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.81318634964565 0.773531230231521 0.746364655032959 3.16018674394438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.134049060757567 0.127768492481385 0.0515138011791142 0.0747472591411077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.822972755562804 0.787275744165269 0.743465763271275 3.21318586543019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152507966908623 0.144024596435323 0.0641112023211187 0.0846280852205166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.834143848430726 0.799370285652371 0.739783777782986 3.24858925623518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.177103202043674 0.169535644641064 0.0804444948616866 0.103764346370746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.823738284199543 0.654849407113785 1.17446392019625 2.70346100875024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207528991588237 0.149106420453657 0.31948566871349 0.104130976666326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.823949079741081 0.654636498497585 1.17482635197304 2.70260847998227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207634116829016 0.148930708992487 0.319666853928309 0.104064034094097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.824415555616712 0.654851173574213 1.17445703433114 2.70367482019005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207710701062909 0.148921960308811 0.319810737040528 0.104029407180262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.824466225992653 0.654389783463457 1.17445681275778 2.70121079857557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207967651778293 0.148635138219629 0.320138794206786 0.103912525983398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.825391506188532 0.654559270394185 1.17501306257595 2.69916510239291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.210985743595253 0.149802122408285 0.322855211583516 0.104137314963158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.824289488204741 0.652808291275123 1.17562991936098 2.68509867175602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.215663146900295 0.152225023538423 0.326761766595574 0.105387118452997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.82433406007815 0.655289145952335 1.17459113345272 2.70595655739053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207470408946099 0.149145031644852 0.319783056447476 0.104193212563467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.824109295093352 0.655166477789403 1.17477563745769 2.70452334143974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207858896504897 0.149584536893658 0.320565956190494 0.104406363533987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.8233874604212 0.655302519125449 1.17650745049425 2.70111059513109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.208825297466232 0.151712363759654 0.321549133309213 0.105615942893997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.829120602936526 0.666369531141695 1.17860927361055 2.73289179262482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.222146670353576 0.171621567955055 0.334324568445302 0.117167753353818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.842967219319948 0.681325470755473 1.19604739461417 2.78001834297025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.245386059734755 0.209838135682248 0.396169632355517 0.200008130675153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.792625681053948 0.748854602818117 0.786900577520619 3.13371505032921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114656015040364 0.110514150022932 0.0325121107814636 0.045258924067163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.792613724469705 0.748825514152335 0.787017334726341 3.13341634717716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114675685848344 0.110477431895495 0.0325471939946779 0.0452419003110076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.792588405258161 0.74880186148128 0.787115834564354 3.13310504721098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114624415743661 0.110463027745461 0.0325474904767406 0.0452596894694224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.792622505984185 0.748863474218424 0.787201560830534 3.13290882085995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.114931745454522 0.110543095555104 0.0327157412377644 0.0453212417238673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793607276922226 0.750290996884355 0.786902458909613 3.1367273142098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.117317302020907 0.111833978051411 0.033803458543171 0.046128135394826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.79440354676297 0.752499361739234 0.786692027837113 3.14189725444539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121727252909473 0.114930099689402 0.0357698756808797 0.0479196533689256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.792598718277794 0.748440776760153 0.787538865692179 3.13142549751257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115275673308386 0.110608850419613 0.0328415962428219 0.0453025382140258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793692669009647 0.749465300318 0.787693210323901 3.13705932048258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.115975890689941 0.111117605021892 0.0333098527825551 0.0455324717599308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.793595669063107 0.749547377831405 0.787432675454122 3.13304450503268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.118418247522374 0.112749287391924 0.0346225181593826 0.0464497177918389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.799578342047091 0.757049085872439 0.788126707825777 3.1458927692244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.136322309923442 0.128822702406774 0.0444336037730347 0.0562735393564821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810870108105748 0.769759822795557 0.783728698291203 3.17881227113962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.162383738141111 0.153043071108067 0.061951832064466 0.0741977383817681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426138058699376 0.390110862781385 0.24555006612814 0.810442162738097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0357863379369206 0.0371250593528533 0.00466045345879956 0.0020280304115425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426170561224236 0.390116947375296 0.245584654156957 0.810443820671739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0358118132937029 0.037076348758982 0.00465132590822876 0.00201571708023984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426199113065233 0.390141465661575 0.245614752819168 0.810473958318586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0359162930202769 0.0369503001929462 0.0046954781019105 0.00197691669971346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426021512513075 0.38988861378408 0.245797610810869 0.809403329369956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0361576306330476 0.0373776938592919 0.00475300737410804 0.00202845518636906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426347513456461 0.390536480240055 0.247101966648426 0.808545130712802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0406384700313486 0.0410143018859312 0.00570840057674741 0.00255345299855393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.428893708759593 0.39322303680029 0.248898696315488 0.812308800649356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0466066767170099 0.0468085698064509 0.00719292451936488 0.00354574612615867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.427245730481277 0.391325645943952 0.24573041635173 0.814092098336199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0357641864502178 0.0374570247992073 0.00469530398226234 0.00205531238805361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.426482206404761 0.390825423193469 0.24606833898114 0.811766337190203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0366687410122085 0.0386088921881787 0.00493873718788632 0.00224017625262247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.425485009287008 0.390456461712424 0.247036461184604 0.807677238466773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0407425419103086 0.0420941821680641 0.00587310619342117 0.00276164407992296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.43511760454538 0.399247993277812 0.256617741223459 0.816063930112297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0700221871679008 0.0720863495582213 0.0155781299648445 0.00942469655412241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.453084494522835 0.408113043095404 0.275003501449041 0.82529348259101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.104773742303777 0.10743703617912 0.0341496536645899 0.0219758604310563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.811331700232179 0.786608323240427 1.26153365168329 3.63699400204809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0775118839169406 0.0742914279362697 0.0277445891483443 0.00792283503900789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.807260484487356 0.78268950301118 1.25849472346384 3.60906947836347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0775756063863458 0.0743351217518874 0.0277832762697873 0.00794944607015624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.809655614801922 0.785268929415773 1.26078522328683 3.62779290138444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0777675987137234 0.0747227915094352 0.0278943248223256 0.0079962794958455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.800923250817335 0.776081283857963 1.25534928661175 3.56200089783995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0781352691545652 0.0750458056579994 0.0281112850721403 0.00809296184956424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.800814558769775 0.774553470500728 1.25276924066245 3.5455229162765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0809136937379641 0.0777453267676438 0.0294094201791784 0.00874010375918854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.797446388026688 0.769461506940242 1.25340927373745 3.50429107186393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0852495624677359 0.0826714551088594 0.0316235382014228 0.00998502332728214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.812714456162951 0.788356650648535 1.2645835305514 3.65232601317362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0773839891598917 0.0741715522959114 0.0276140215950921 0.00790332574509015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.809411271933297 0.784860834019466 1.26441161862748 3.62736497587098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0778395409100783 0.0743218918173947 0.0276919904080239 0.00797257260388329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.808706302852271 0.785675209021223 1.26975801243818 3.63545746305461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0797186851163118 0.0759639822133741 0.0285524879585216 0.00850104178618886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.811654173452499 0.783273644748673 1.27690017097026 3.59914236720411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.096240492723165 0.092872157577622 0.0363838344648445 0.0138216416374395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.849251555100309 0.804938806731422 1.28927534294213 3.71141838194772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.120530174348027 0.119196447039909 0.0513462471941693 0.0253633556763259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.5972475930524 1.45286031096729 3.79370355795294 13.3067987671709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429145282700621 0.447909581505148 1.12426903158179 1.15179729873607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59701251283511 1.45263615487913 3.79444083803074 13.3045591844998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429065068364556 0.447640465768366 1.12419428917772 1.15159818872486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59757202447191 1.4532409066049 3.79405465501471 13.3122633503856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429046613256055 0.447539608408678 1.12427918859779 1.15184071509236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59768341452901 1.45339113588844 3.79378923375063 13.3137982688831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429522712954967 0.447491605640422 1.12519970696189 1.15181703281304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59848192719039 1.45542328816039 3.791985708094 13.3377816331349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.431117892128816 0.44812189922895 1.12794421283108 1.15362352391119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59638606776239 1.45407790298235 3.77974418845979 13.3046443196388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.43441351224597 0.449855624677116 1.13535967585787 1.15681537434536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59621819047488 1.45211097875433 3.7928336676919 13.2959714820514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.428862577555712 0.447473671608068 1.1235041982751 1.15156236115072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59640280624864 1.45263037664576 3.79255290628669 13.3032143768249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429303820759529 0.447801088769066 1.12432440007949 1.1527306751904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59513044173436 1.45237824403122 3.79352173824095 13.2933070021434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.429826686339369 0.448731211335826 1.1255776023305 1.15540291528358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59323763124575 1.45563558126355 3.80970078431428 13.2663828943862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.443575263667919 0.458393286195105 1.20852590584787 1.17744157218845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.59107211816691 1.46050343403684 3.7747562352254 13.2606809502154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.453720651820589 0.470344621342702 1.17234954351731 1.21116661360885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156451867294393 0.142446437562983 0.0402341912712697 0.114265661423492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0150440394572639 0.0147964952289532 0.000728145982979204 0.000360207399593709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156382966787152 0.142389645546067 0.0402622043991684 0.114123813110706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0151160846334148 0.0149825983157799 0.00073569574526339 0.000375040312940207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.155186726514464 0.141330105997235 0.0400540493179911 0.112476729151229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0154240506477014 0.015217145057898 0.000782371550041503 0.000405468908632135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.154648511538099 0.141190742495582 0.0400462842406908 0.111710013059355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0160917650278031 0.0159174189356584 0.000862057175737698 0.000443014583983641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.161845220227728 0.147606028905768 0.0411315168419038 0.116196296917266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0251182888816991 0.0240364337848196 0.00204666660492186 0.00111462234733266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.169701537777423 0.15238049085672 0.043344344092019 0.118518962224054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.036755589126568 0.0345593288229341 0.00416435651499276 0.00243214490715087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.155421181597712 0.141684844695555 0.0403297028407597 0.113047352852318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0159399795229239 0.0151668397173668 0.000853448475386954 0.000391275761577854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.155372164775768 0.141963574490539 0.0405997234175873 0.112733730763198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0175431031137293 0.0168502600229635 0.00101413767014009 0.000530137848547905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.158294444859619 0.144714629317599 0.0413879146615344 0.114286812489297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0235965695295946 0.0224686553978068 0.00176423172035183 0.000982646012481924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.174968710736121 0.155380434486446 0.0483181344214803 0.117991792670235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0569635301120729 0.0541249290005095 0.0099477241102356 0.00604883484500583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.20888363038118 0.172950881341234 0.0684416675570716 0.134319003663923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0904749798517265 0.0861943068387497 0.0259754358799184 0.0144698348966669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32341565068971 1.21276636205981 3.05564297084698 8.90666879254722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303159417529741 0.290122250703786 0.671596684726151 0.488028931980343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32266843122228 1.21197664267627 3.05701478973009 8.89999707973296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303249572465218 0.290191924272125 0.67170006241773 0.487801862920383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32315453647474 1.21240900024361 3.05636768419791 8.90390387594165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303612128101194 0.29007483943922 0.672094833678092 0.487719197568177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32328243956293 1.21241843024079 3.05645732169619 8.90434577188649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303886014550982 0.290040437999555 0.672309141661037 0.487667952192883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32519644334842 1.21474360588013 3.05288100102047 8.92325783523598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.306212349687733 0.290883898444603 0.674540337722059 0.487779935207396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32781019609997 1.21825030686017 3.04026201020567 8.93604621336728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.309011677487331 0.293403705936109 0.676068467931102 0.48992518897704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32419443806794 1.21398845842927 3.05454878389812 8.92105593525539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.302899430063214 0.290587351806145 0.671126686915488 0.488502207625729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32524762319833 1.21599061583943 3.05589965071243 8.94286123045167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.303309762999976 0.290856753623617 0.671987556248972 0.488814073760525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32365077873008 1.21633140191317 3.05413581412659 8.93885994945462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.304871549358523 0.292819559706701 0.674186938455823 0.491011728055927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.3237853681273 1.22254013239454 3.01915364218378 8.94587237607105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.321383369232369 0.304481076932085 0.705661619737713 0.500239367682951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.32822153740611 1.22913740962667 2.97045963751738 8.94311183688511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.340362502626986 0.323343669426304 0.727849725555012 0.523081380822708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45865367104057 1.28258750355829 2.72743820194425 9.3428142668858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274733462104035 0.28657924583587 0.340007192856122 0.299787316209362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4601030496094 1.28428771151249 2.72692539112686 9.36159449522645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274868343824135 0.286776624995839 0.340250391392195 0.299823535463025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4598779704841 1.28410406991268 2.7276326811438 9.35962429462684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274804024097266 0.286845693410021 0.340196854281092 0.299853316976491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4605131774534 1.28467215801187 2.72490973627843 9.36267168809368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274843554835993 0.286884068711923 0.340239883873982 0.299804342101363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45961671856835 1.28402887315455 2.72473008861115 9.34896575910238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.276944572728843 0.288708817418656 0.343320186369012 0.301013367732807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45741812303581 1.2827930716347 2.71948425265661 9.31921703080225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.280175756642375 0.291437780297771 0.347864755424058 0.303444590457563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45865388805211 1.28225871700907 2.72569123782104 9.33801632201439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274972864194904 0.286782788292113 0.340004118758009 0.299962028086453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45879206533407 1.28264149685185 2.72374865065177 9.34089891268874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275565689060597 0.287117567187992 0.340488497135579 0.300554487962575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45865947794948 1.28323424808354 2.71983139623559 9.34230708521045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.277902532218198 0.288348455334897 0.343087479970852 0.302229123762716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.45628381335262 1.2893664334104 2.70151143696702 9.37702544248867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.290438034713864 0.299004668365959 0.3564463993506 0.31725321814665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.4432370282602 1.29064752331522 2.6410831569604 9.3269309201543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.307360564638695 0.315322758537172 0.377343305217244 0.342656367112173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.155553410096425 0.149524802331745 0.0276503973710209 0.112867738619677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0105938737224222 0.0105327697091294 0.000377940288372771 0.000312665211596375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.155463184217286 0.149491164429211 0.0276563442680979 0.112787059997857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0107504552031474 0.0105350866615936 0.000385212498864989 0.000314003093600659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.155620473548951 0.149767655524172 0.0276937482776376 0.113021644445614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0110468259295025 0.0107560372816687 0.000401781362016537 0.000327842941556365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156048681738998 0.150446335902129 0.0277906865907792 0.113442578176821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0122982042521032 0.0119038559022227 0.000476006682302378 0.000391301654278937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.160421277268334 0.15424008058846 0.0285777897451191 0.115681591634645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0210398509433326 0.0209156412334941 0.00123140681572449 0.00109306490708217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.166940388452999 0.157977214367568 0.0305606454193156 0.117873290698122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0312587853151137 0.0315956670067905 0.00267865584927885 0.00242132923576752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.156676211139627 0.15071169041694 0.0278075821102289 0.114051498244075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0117151245592856 0.0114148334299068 0.000434410128870198 0.000362884407797019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.157368837121738 0.151255127646401 0.028007941560548 0.113840016264199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0145785314756276 0.0143636710523465 0.000622510951878636 0.000526875000059138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.160737695688389 0.153500753412844 0.0288924723423485 0.114697679789926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0222391569668695 0.0222974727677819 0.0013783671212724 0.00120557349180653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.18488072796327 0.161464530447971 0.0406145862444324 0.117917677989548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0570944708364009 0.0592138808808707 0.00937654504632668 0.00804336689515122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.220658397049906 0.169595897875234 0.0649038382636523 0.12377889670376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0917263939703427 0.0956435570069031 0.0255084425264204 0.0196251577958536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.984529347752868 0.903258760807285 1.20587588049886 4.21741686691138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0741899943352677 0.0837080171808817 0.0227254118641014 0.00966361441013553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.984559555288143 0.903585009283694 1.20548568042637 4.21839579931614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0742668117580486 0.0839658270333043 0.0227167684001014 0.00972388428534622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.983749238165951 0.903237596163771 1.2056027707631 4.21374509395076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0746886534039017 0.0843303399656389 0.0229178943526783 0.00977488866961661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.983552129151313 0.904281296800932 1.20584366368911 4.21473648318841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0768769402371703 0.086073505560145 0.024080850109623 0.0103148052983089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.990580415654646 0.914597489544327 1.21317906965886 4.25290970413341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0941286882592329 0.100914981921855 0.0334967059606582 0.0155155657633085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.00425717952559 0.926325666161479 1.22976341239249 4.29689785767764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.120070028449757 0.125651135371559 0.0505296383354747 0.0266825686298912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.985663535635333 0.905685452177649 1.20581151871366 4.22912620219773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0760644551308323 0.0850893924159261 0.0236672566986404 0.0100624942512238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.987972503600527 0.910030385239344 1.20695972691111 4.24847462156273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0809402566399153 0.0891761804391308 0.0261835076808021 0.0112976707244297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.99270737520966 0.917115433041137 1.2151154348649 4.26809504003467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0963651284881912 0.104164720434902 0.0348219345029776 0.0168739711849687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04474455035061 0.948981336595073 1.31020354392987 4.36995164776176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.195653293213148 0.202126524573949 0.124304846053216 0.0785451347230426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.12137702380479 0.974088332871492 1.50034539830299 4.4451080450653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.304872714139014 0.312848270713992 0.293939617284136 0.195145548152633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.861572803833857 0.762975616888987 1.55582634029008 3.55216879026639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0902065040615137 0.0822038047419474 0.0398813090296787 0.0193140482333944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.861964708358064 0.763422694301205 1.55592072046788 3.55403413169959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0902004168355052 0.0824063272460435 0.0399065401930341 0.0193056545123457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.862563760186487 0.764404652959892 1.55633341691541 3.55810321705204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0916799568170672 0.0833636807180517 0.0407242511240277 0.0195925916018608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.863090989953334 0.766218865133965 1.55780072610922 3.56271033530275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0942046854030658 0.0855594828368223 0.042193576948818 0.0198576579394396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.873986312756689 0.77965333124686 1.56759440565819 3.606741609986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.11134159963177 0.104446053737121 0.052534447482853 0.0250686701298231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.891207495943719 0.793170448467143 1.58687931098503 3.65058746585388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.136643928586877 0.129920589415098 0.0722370219006624 0.0357156753697442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.86400078771443 0.766863929343953 1.55630027124374 3.56824001983474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0929625449718116 0.0845673099214298 0.0414295252971921 0.0195580619777591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.865644184653168 0.770623545730199 1.55943064760412 3.57720865706149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0991775650527649 0.0907806560652748 0.0448268378513304 0.0211192002436671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.876145952477429 0.78218727164996 1.56934147680103 3.61336447343506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.116995846747014 0.109067867142746 0.0564460077084403 0.0268250994862734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.946666868960866 0.822985377980846 1.67110249673593 3.73744557666745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.21550105460237 0.207831825406846 0.1601003983818 0.0859049493863842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.04473248946257 0.857224452524657 1.87315161887173 3.84526130530142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.324877751494189 0.31708476380481 0.352130604422793 0.192701885003427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15685650126303 1.09242852074309 3.9132718405653 8.33891842553192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0849635472700684 0.0847224835011271 0.0335425729394798 0.0120250883232598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15810137549337 1.09386504751179 3.91336929385326 8.35044544860629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0852177813285463 0.0852846139405885 0.0337473888158173 0.012288321874384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15876716279983 1.09507221869618 3.91685046703954 8.36071440368921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0856112631124299 0.0858993327553824 0.0339483688588639 0.0122406873851008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15739874928628 1.0949204885361 3.91983562388987 8.34986073823613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0882888152002202 0.0876428889346932 0.03545826690888 0.0125853463987094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16881516737769 1.10866191295343 3.9310798601577 8.41406063216656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10578719377128 0.106502852176611 0.0461217801386398 0.0180905484811513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.18338973014199 1.11889186722901 3.94681578401305 8.43601097737943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.131647007397194 0.133680795611627 0.0656874964326073 0.0289808314048977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15739535094841 1.09480792982416 3.91259933270023 8.34730377585311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0863656532817903 0.0866570373666381 0.0343448223018872 0.012092235876333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15355687094537 1.09347417661272 3.898770733134 8.29810679376326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0915386676432771 0.0929473923905646 0.0372854360189782 0.013478847461641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.16126248209961 1.10356588361234 3.90033654440437 8.3289670541099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107482653170014 0.109214341113964 0.0475951915588984 0.0189681995032605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.22610992492463 1.13139421867775 3.96782306298335 8.34896957076629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.203198287567619 0.205775449776802 0.143585862638163 0.0737180129269465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33489288752332 1.14655561194465 4.1376742160894 8.30262833438196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.31092006635934 0.312347132533468 0.321624703416587 0.178917851038471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13873748056003 1.0394650767259 1.34529255987607 5.423681359533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0753389122694931 0.095590870267057 0.0209624283021166 0.00834184325543317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13843572198846 1.03950433763346 1.34514877251817 5.42304753519821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0752110501543657 0.0959509262156362 0.0208667979659977 0.00844194039334976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13807562198674 1.03960142720257 1.34531203860081 5.42236337790769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0759162259731796 0.0965206859631041 0.0212735319301338 0.00861187469163385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.1385672341882 1.04120051279968 1.34534930090443 5.43085866948924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0777698150419274 0.0976793074687483 0.022126107465754 0.00894596164937995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14466903537911 1.04966905307247 1.35170288356987 5.47304403271917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.094877535885509 0.110529285422115 0.0312892108005624 0.0138884082165345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.15584469696587 1.05960776503216 1.36568502576378 5.5218725733879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.121544219657417 0.132280839776029 0.048458061845293 0.0234533038875094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.13990130062177 1.04104968561995 1.34559985096884 5.43275820425475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0777003299199334 0.0974769048525279 0.0220252604522905 0.00897460648543468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14192210201673 1.04395259129014 1.34760790732843 5.44809949146959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0835099616922064 0.100739604974159 0.0248093852696283 0.00988572707937879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.14684464929708 1.04909795882555 1.35580046011527 5.46587069140587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.101357253045052 0.112422975597752 0.0348121671925332 0.0142953355741885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.20063478664473 1.08187343570003 1.44193910922317 5.63454090360704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207182227945611 0.201636204410815 0.133448991889901 0.0654579002567818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.26801581784043 1.1073039938438 1.61790993311192 5.75350079027015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.324360536956794 0.307716642232281 0.326715055241815 0.166078170935199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95067655427847 1.85502690001027 5.36114039501468 18.7657697705264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137691979968733 0.165383349568246 0.086119415589848 0.0481727078303663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95102298263811 1.8552881295702 5.36067530647938 18.7693553421511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137854674808078 0.165358270702246 0.0864406615870375 0.0481113649082604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95225540613846 1.85642225657029 5.37609995183267 18.7996035468081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137924419559345 0.165348004431636 0.086913182716325 0.0479449720151127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.9522980334287 1.85623519888387 5.37790578457246 18.7958288331492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137933928926545 0.16632117598318 0.0877650235843785 0.0481651741719003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95461958300453 1.85697138622006 5.37608645739265 18.7702300899051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.149270309917205 0.175799234448135 0.0996916835184585 0.0510573270404137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.96173643564735 1.85794624003635 5.42962224893607 18.7830296112942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.170058295962455 0.192423337704204 0.12003085817672 0.0592647052065635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95102478663868 1.8551707532437 5.36105215100113 18.7664365270175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.137918837475388 0.165890270560221 0.087301355983769 0.0481043877003056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.95210796692276 1.85609363455935 5.37280348874107 18.7801203908231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.139967322734252 0.167727896777347 0.0900647424369542 0.048372101092391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.96014938083618 1.8626315752385 5.45497013211339 18.9215446262538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.152387351561629 0.178398666194793 0.102969785959718 0.0570241078962238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.9860074565954 1.85143278412109 5.6235782337574 18.6988543621637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.234817224119874 0.255332746857551 0.198776231101216 0.116447673456169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.03236084060756 1.83787753842104 5.85124213451744 18.4099892847192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.337888481041756 0.352831552698652 0.390830004291777 0.224947991452643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.638225245323996 0.589459398287928 0.486459784692962 1.79768630273588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0423741443169005 0.0480766590247035 0.00601451909916445 0.00250306027422807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.638126603643939 0.589452630719547 0.486540827475008 1.79738638615228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0425213898601885 0.0482659817554404 0.00607858864106791 0.00255042876829397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.638045706584955 0.589663773162909 0.486593924547592 1.79736216444583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.043134238778792 0.0486046707991555 0.00623684866549157 0.00263121802792513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.638862053820449 0.591312136068389 0.487198759908887 1.80186467599282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0454309003533014 0.0503651012480969 0.00692693642735175 0.00298453908877739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.647986715319974 0.600128858192896 0.495320103078254 1.81992388333244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.067334728493335 0.0711333634068136 0.0143446578361304 0.00779034878741888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.666262599819638 0.613015672146128 0.512306884608622 1.85528595684748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0980220926010783 0.100997202356672 0.0295368358879047 0.0178779239942497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.639377453617684 0.591110768192315 0.487408572917836 1.80233356736123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0445943611224573 0.050040929771492 0.00668091747549807 0.00299453741348278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.643254922453816 0.595474421720901 0.489784764211028 1.81544971156125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0515685889610326 0.0561519661772557 0.00871690377607798 0.00425431603810452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.654508686445886 0.604796190452505 0.498764219237854 1.83914493167721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0735416472770096 0.0776624803871404 0.0168790024777057 0.00974949481623449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.729122543009456 0.644951140684995 0.599806958241524 1.95540450328365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.182561241626057 0.189495320366441 0.102115298141035 0.0686220822630951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.828605557492544 0.674692479543648 0.815048944994808 2.03950427200117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.295335851250727 0.304825671416979 0.27476713490427 0.175555887185588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.347988358567634 0.31022631071146 0.211721250816309 0.54521788073709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0542141988022203 0.048558926303235 0.0126236522712739 0.00677430625101527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.348397529785486 0.310793919976807 0.211814260904848 0.54638411641191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0538461061201097 0.048679542558174 0.0123623885596675 0.00682732870607387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.348609182108335 0.311442965495457 0.212101685344391 0.54715863979914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0548151334856157 0.0501467910866085 0.0128521872531502 0.00722830603427813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.349578790737221 0.313711414942937 0.21312447005582 0.549741249937563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0567254849662796 0.0532608631201613 0.0134076637852997 0.00780059769712017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.364223465874523 0.327902066260741 0.22405185364283 0.567444061961154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0787085403616439 0.0779504205290658 0.0223844499467076 0.0134581755211037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.388133933071126 0.342568036016955 0.246906126470302 0.587110326762935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.10803457230036 0.109668172792663 0.0402620241157947 0.0244522939665463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.348101759159783 0.311369616651386 0.212426578177143 0.545365352573214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0560819265634296 0.050156209338261 0.0130694611220579 0.00666372642709686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.350816660494401 0.31512058042974 0.214638539885995 0.548208905597781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0628436269230962 0.0575719046122657 0.0154505180397334 0.00805519300508174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.36420840628429 0.32509099085345 0.225533641286069 0.55767077337736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0828176113421226 0.0798288093764567 0.0244701156443986 0.0140684916948172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.46284828508697 0.364413118476036 0.348679570482454 0.598643935685625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.186739499972189 0.186500997366935 0.116507396900075 0.0672960186421719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.601034904539024 0.406028883916557 0.610522487893297 0.676179225295377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.29942155818857 0.300184224155214 0.306145762820166 0.161968809557887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.3262217650329 0.292839042101026 0.254667072626212 0.533182941935532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0526231652919545 0.0410945472409026 0.0129036943747397 0.00337917343723316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.327837248504818 0.294732879111031 0.259725612009095 0.541977732209699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0528185959813082 0.0416084127327025 0.0130573980259434 0.00344808876303437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.327713990854748 0.295278774790158 0.25923474523594 0.541214429393988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0534261676890742 0.0424822496061119 0.0132112649525735 0.00352517445174905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.328976507626173 0.298297828335649 0.259148009615885 0.543236894649582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0553397011391043 0.0470747415956018 0.0137637185491527 0.0043018275733585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.350087777107912 0.318440177103158 0.275024216243039 0.572213791851623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0807303473266899 0.0752444947738235 0.0256395575064557 0.0111001810687953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.385500043441235 0.340288170765329 0.310524128456418 0.610884071854592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113361996233519 0.109591960172671 0.0456406982692733 0.0236368508821714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.327401278283465 0.295669452218633 0.258831183251242 0.538130747812114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0552291582327507 0.0453454030523223 0.0139145799346592 0.00399625328342597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.331186315645057 0.301616706159266 0.259384638407052 0.539750347561041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0628554421669694 0.0550184613472421 0.0169390588627679 0.00591993829539474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.353183978273846 0.320576197841189 0.276099730054948 0.566062539112161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0871625354040477 0.0815047105513113 0.0289260845511133 0.0129620169567939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.511970096237857 0.388826486101856 0.487551719341404 0.707586484457582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.197716675431852 0.204304643812947 0.132344230081995 0.0815500763683359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.700176947962778 0.44149596333399 0.862849351020652 0.855828721788356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.313709313028136 0.330806028176109 0.334059702715327 0.205557682643576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.866703795672 1.78802798629078 6.1688408052386 18.3718757369803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175423232572115 0.178399182324081 0.165032869421779 0.0621278453874163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86729840400282 1.78854827635064 6.16473848011542 18.3769021671032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175639821973361 0.178331564686534 0.165265170274798 0.0620718436644984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86647800294248 1.78740897251472 6.16025590478984 18.3544674138862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.175808486582798 0.178520894707928 0.165549305465424 0.0620706098621151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86620205881493 1.78644030015649 6.16405533783688 18.3420036393598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.176845952519991 0.179179986690005 0.166875305645276 0.0625893008472237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86904547292374 1.7836697020331 6.20859163172903 18.3123298581565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.186243660279924 0.188370135629008 0.177863031121977 0.0704191301886342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.87794083654655 1.77945133623749 6.28080551902933 18.2578705320092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.203877957336875 0.204622986878754 0.198919084314302 0.0781785488983165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86474783201464 1.78541681934878 6.16263530748866 18.3242741611224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.176441222446784 0.178954971070649 0.166363349521491 0.0623743676787505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86387796125391 1.78342904174153 6.15897068617995 18.28330300983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.179043258426394 0.181460049031834 0.169605218544184 0.0638538948213801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86930244543223 1.78351978254849 6.18684778247751 18.2756128307398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.1884585395693 0.190544638758997 0.180284483051428 0.0699863077142287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.91731329319242 1.77363001644438 6.3725733515177 18.0359799712061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.264619727051494 0.263347521126261 0.284463718311278 0.12534463915898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.98965755841701 1.77075395994851 6.58641092724336 17.840391147987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.36120340307013 0.356204394522027 0.466068484211702 0.234133360465493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.106779576196121 0.0935571856260332 0.030672146815917 0.0580403669075308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0303003155202291 0.0292779480839469 0.00437721479303326 0.00332332677827933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.106844008449351 0.0939456520576892 0.0307744554385858 0.0581285573778706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0310427544442338 0.0296884647092666 0.00454916557826818 0.00335654287130554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.107383660193106 0.0950854614325366 0.030874078235781 0.0582798494038174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0323076488574096 0.0311516037890204 0.00472893771113568 0.00348402127217984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.11158551246614 0.099339403162192 0.0319355634662662 0.0598225122507972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0374405975783123 0.0366141831078327 0.00590886651690232 0.00412835081548889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.141766680878005 0.117842748914872 0.043599352118019 0.0659908870556299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0653998618506648 0.0638868588568215 0.0147349287452915 0.00862050571871401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.185152159297781 0.139515565158646 0.070912270003949 0.0795186935468916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0987491224798995 0.0964717055419242 0.0333449469643074 0.0177378512469031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.109575038067067 0.09756224554566 0.0314856347148322 0.0591247773848448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0351712766301683 0.0336778214253464 0.00539864822677414 0.0036713933684652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.119327918760061 0.104249245168893 0.034291169975799 0.0608529673281409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0441336912611651 0.0433370569707276 0.00725244223579901 0.00477673910938068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.149593444787906 0.119720671231894 0.0479799153998496 0.06660188009792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0715770847325435 0.0680499122028003 0.0175164307695314 0.00966798497515097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.313992911505259 0.18372306925152 0.205642893661122 0.117093237315462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.188606504941195 0.180297687469783 0.126736292008832 0.0544868736838533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.49610634741659 0.238512019732952 0.526654402154688 0.179790330642308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.31140099540965 0.302486057391451 0.361578034392614 0.132314959407666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85675608034399 1.76613408976881 1.17214273645729 13.483695249374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.105315607981403 0.141613305367723 0.0691145537071608 0.0259381464734056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85641525210263 1.7670765767657 1.17456625122547 13.487353896119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.107033678602427 0.143682714357906 0.0701099287170008 0.0272369563943614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85744573685569 1.76952637703666 1.17790947132151 13.5048911498389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.113323540620497 0.14763556716072 0.0745709290210669 0.0313546010390915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8602826807615 1.77221177612541 1.19538218595991 13.5160363235241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.132960337755222 0.162289248094415 0.0885438995518853 0.0416298731247823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.86946595839499 1.74207644713626 1.43899280622878 13.0649920270391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.251830150177714 0.277218300244165 0.215602560673694 0.135555656974031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.89881898878268 1.67348658504232 1.94020059752164 12.1327536030471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.390371883129117 0.413996588913699 0.483580437804743 0.309494591608489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.85952250939967 1.77206138768472 1.18922273854749 13.5209061286898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.126583703068695 0.157196049426235 0.0848691696299032 0.0390685742418427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8640720973149 1.77023673531019 1.24648315330736 13.4658247410571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.169169550528177 0.194002539392361 0.11908076501066 0.0634695515880628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.8809808872252 1.74607752182886 1.47183967587029 13.1170966602709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.275627139333785 0.293409530844771 0.257178200207142 0.149869396165237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.13013854787479 1.52798394801873 4.07866443235254 10.1707760828777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.745540233865311 0.751906559770603 1.78362818374328 0.999771040189482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.66103313749626 1.50421793262228 8.9414388600899 9.596929244594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.21790359418043 1.22407191217219 5.04700113107564 2.44634419895602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34074870042771 3.039168633289 5.25901683550613 41.5811912395224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.18442667715081 0.298172429224863 0.175371786572719 0.0426446725027401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34231454740813 3.04059342990034 5.2530411916427 41.6126866233564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.187049029695881 0.298401302977294 0.177132910567158 0.0436227608486845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34374183568012 3.04167499633134 5.25751272665294 41.6453896434264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.194134964993306 0.299035947524163 0.184058558275814 0.0453155484721412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34605864608201 3.04212820881238 5.2773198714568 41.6724734335432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.211122111813219 0.302771233001753 0.194780254830569 0.0510465469323682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.35781507452477 3.03903722318011 5.43512783794981 41.6460484941923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.309493963086816 0.372175811144288 0.298658429266142 0.130487416715065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.38251840632049 3.02988852791423 5.72219597827316 41.4783433428673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.435252200186479 0.488180544357528 0.539873102022813 0.301068190460662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34158835599791 3.03849783792155 5.27051911151504 41.5760344715195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.201513903357569 0.301376570993624 0.183981182207421 0.0478695200421675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.34493196881831 3.03786919574355 5.31068791461973 41.582720975548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.233497429253518 0.316988317540353 0.206642644670654 0.0648333001197369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.36367833409318 3.04050810954439 5.44146007842929 41.6825072121311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.323527790176852 0.385257543074228 0.319899430217105 0.145259163932101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.51965742305714 2.98852042173099 7.21061120888968 40.6295412239873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.76783185069233 0.809570940559562 1.73123028425015 1.01693516335318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.82327397373861 2.92607614208231 11.0761569469376 38.9801722095338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.2324216071031 1.27148163139403 4.74686232510983 2.64539653236611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.534565336500998 0.503448610201814 0.0170325787389236 1.02924239471832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0411416809763991 0.0361840233687217 0.00912873892258373 0.000125181289337189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.535414025745948 0.50445613906583 0.0168714271140164 1.03411022111683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0543223343385286 0.0393562166618831 0.0140812963717843 0.00119152308349412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.53713667940081 0.506346793681088 0.0175386162027375 1.04367892339795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0797088333008605 0.0504868313347064 0.0273816965735088 0.00312485454632984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.5370238548314 0.486761033999061 0.046921922513076 0.980932380404118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.128908930931443 0.0905651271511266 0.072335338329996 0.0135133823841141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.621002170614895 0.412480181995033 0.301935171999581 0.735525701436543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.238877713563502 0.264316297407382 0.202287105435066 0.112730738546673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.80355661975427 0.403197868576836 0.798339928402502 0.689965751784983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.372721485483217 0.413411758861108 0.49782427727851 0.259564471341366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.534612689957289 0.502825768772065 0.023630655816639 1.03458172820487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.118304687597361 0.0728539808447848 0.0633923976377243 0.00888526958446302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.536560222563526 0.450862758249182 0.100171129077392 0.855221425297564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161456114497555 0.143490783978154 0.0943653246575367 0.0380056847844622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.626738643542861 0.417448431663921 0.322346601518909 0.742202789537854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.261755714500795 0.291566864281189 0.231703491557955 0.16675692304703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.31122519820926 0.582203070885067 2.7811023193737 1.27474239775439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.72840620705788 0.788655499132059 2.02758908984804 0.833524088636585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.07570259817612 0.838038979225413 7.84857826288124 2.44022911066315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.23998426058798 1.32966505928969 6.07251791327304 2.11102841543353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37677212171497 2.21931055734172 0.378804996887889 20.0377876018534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.253080398458136 0.178598295844424 0.407131349208503 0.0264647708892307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.3766961269044 2.21951656241965 0.379686184956139 20.0419096518062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.256494207004624 0.176623054616341 0.41000454438938 0.02219545449551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37677971681098 2.21990764634125 0.381536729506486 20.0504931079342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.260625462876695 0.178677492206731 0.41102711598282 0.0273078552325108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37747365208079 2.22124965179811 0.388176471642517 20.0811185323055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.265705239048376 0.181743302649017 0.397888383047828 0.0278368574472712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.38777877247377 2.2326395390416 0.461491410711033 20.3620399133434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.308596114131861 0.276142834699076 0.316210287421258 0.103262208692041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40930015556423 2.22469922093229 0.746144189263116 20.4177631043548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.450116640106663 0.425453239881008 0.607782581295752 0.302674321464398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37763456462179 2.21719529689069 0.383919233944246 20.0074486955343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.255991602991663 0.177651258462866 0.371827728447771 0.0212398983583282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.38011519769501 2.21655743969954 0.401156318543339 20.0173555155856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.27747524088244 0.199720349808092 0.371114662395411 0.0404561776047292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39101653491082 2.220756933987 0.468402714333193 20.1720058975061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.343661686761451 0.294202258184191 0.390962837086339 0.128955489845404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.54805181051137 2.04862746763599 2.67531801542204 17.8189577519518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.78792140606412 0.739255891401271 1.81493174409655 0.982787024008157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.96683926420888 1.89026383219597 7.52536019045956 15.3778550780383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.23825542110911 1.20445598168535 4.84109168380175 2.45841957816655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.7777951894667 3.60563062800208 6.73380738559851 58.1986896850658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.182239484716189 0.239913981588519 0.179606187557839 0.0320800574898618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.7775167626471 3.60519615997036 6.74170803870172 58.193911683635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.185182319524167 0.240655253258713 0.184941585624437 0.0328101444951738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.77633791119115 3.6033871595728 6.75797986613704 58.1566023217743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.193505407304804 0.24342378539402 0.195337979724248 0.0353742628122761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.77145595832196 3.59478427824554 6.81821338857819 57.9592424404801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.219211049760081 0.254509262704811 0.229065956683502 0.0440799715926372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.75523885251539 3.53643481374529 7.3485700051231 56.679091368856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.331341649351149 0.341353138372717 0.410333465521475 0.126821716320381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.76024315140664 3.47658551964378 7.89249658473027 55.2274561921368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.444811086356987 0.457240400197179 0.647680936195132 0.286029041563424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.77500432676203 3.60074580981737 6.79080592808585 58.1125734011015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.207957639998795 0.249351662832944 0.213328637557285 0.0401807579267867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.76552900187877 3.58102774032481 6.95288235536233 57.6788716117464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.251906417202941 0.275392136608081 0.276030116492334 0.0608778840071853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.75358252619503 3.5310031449371 7.40764836206791 56.5653007044828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.342814597993136 0.355475150303435 0.430365172983866 0.143163955503675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.86159632830391 3.36254294266107 9.84132570720134 52.4341542874767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.757248213144699 0.780868298982982 1.78668895676221 1.01040854479418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 4.12325949650191 3.18869961863267 14.3202829663236 47.552134371289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.21319963170674 1.23612014216846 4.69867150767093 2.62063083025771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.712146121625848 0.656192475263801 0.686948934410129 2.26608907361655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0763702253578566 0.0865972908676143 0.0327747823655842 0.0262367910086892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.711465972330319 0.656885153373509 0.687792090384014 2.26503843553349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0785320358782466 0.0883338760618813 0.0336383540902118 0.0267391845859898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.713713940746802 0.661071578778292 0.691111484627773 2.27503921016113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0848052046621089 0.0941864119548089 0.036154305157285 0.0283652236541015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.726017710998134 0.674245288524125 0.704968033288597 2.31096704365023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.106928022510253 0.114923404005382 0.0478776011724953 0.0352260688651435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.810068883649069 0.721746836076116 0.865482706939226 2.4121722249106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.23592227790247 0.240341437197371 0.184487767359227 0.117679041759284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.932010683601766 0.752146793343481 1.24090337672255 2.42689567919699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.378583471421006 0.380596140078709 0.475233772870078 0.272771193736373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.72149880537387 0.66996829496121 0.698660870219446 2.30115970890113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.0982177121809922 0.106442436586839 0.0433459682151299 0.0325761507633154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.748222917585011 0.691344108429942 0.737032103963636 2.35432698955933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.143396445753347 0.148886396437913 0.0761003205203761 0.0513859121393024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 0.823965817031906 0.727670636352091 0.903996598806268 2.42173258200262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.254895238594871 0.256838362679314 0.218481542437112 0.136555143775143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35166921224434 0.849585059161191 3.11811680595432 2.75367738222647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.723277252747941 0.719793357698702 1.84941251062124 0.872706167312783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.05386393436901 1.02328612488425 7.99360815101939 3.66210741893979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.20845809959348 1.20421840879841 5.42762610248372 2.12762605288834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15401884392451 2.07113408278074 9.43934962153564 25.4781218994378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.148707166719572 0.174280829593979 0.104813817049692 0.0780710529174222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15752167094148 2.0741041589142 9.43707502924987 25.5172028829732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.156739710756834 0.179732583957527 0.114026412297667 0.081447023500312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.15965178894277 2.07403001614608 9.45029785374591 25.5049228191912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.169382684960333 0.191554961163743 0.127606357264453 0.0894248244469626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.16793922939526 2.07089918489487 9.49973336349999 25.4289981103016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.191258344663341 0.215490497402468 0.148501085969269 0.099871197366645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.26333601407424 2.0636669338166 9.82913847115329 25.1872986778917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.299517967985126 0.318694522241859 0.316912645930707 0.167611124832243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39777660069203 2.06752389194125 10.3211853364231 25.0847292111529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.432111567587232 0.44581997312404 0.634638796449212 0.331960742797534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.16185050254213 2.07155057188476 9.472533851102 25.4354291414503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.18233297990425 0.206391785671703 0.139446912944454 0.0981915657485507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.18739878721191 2.06954926316509 9.55907235353389 25.3365159468817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.222375802124046 0.245476334218099 0.188686344940664 0.11387354511194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.28126806193546 2.07127057299978 9.85158564658138 25.2661959676198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.315667827235275 0.336821756995675 0.35298983818954 0.188803825795527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.77392258631205 2.11766712252094 12.2616474465431 25.4421738897203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.752350040971108 0.785868169903878 1.90195963462145 1.05508287143982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.31857122159221 2.18118460562858 16.6597433386677 25.4044638054191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.22108770060425 1.26364181612474 5.15084744973989 2.63063663515025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.33935170731389 1.20579585245361 1.91200922398399 7.391670693344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.160487712155658 0.162093212262423 0.110927037223632 0.0451257786493503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34122575655925 1.20794732229927 1.91354383581036 7.41045959626664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.161717532426595 0.162301318026306 0.11186326654633 0.0450759037821176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34024888980258 1.20765577851967 1.9136144235014 7.39395886103385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.165149492789543 0.164978571730246 0.113975204341352 0.0474522929039956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34421219145866 1.21264003980334 1.92580662447919 7.40696750182286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.180929796186642 0.176787626861701 0.131821172338796 0.0556358353364401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.39327053723056 1.23338131455008 2.0956817135524 7.39686191379631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.284100155340317 0.283386173019026 0.268534283037083 0.143654338120307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.48276241244313 1.25964439921896 2.46947206800058 7.43178298759369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.414471826757603 0.415829046370284 0.548715482352597 0.307404988810816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.34255607101151 1.21104387134152 1.9239549815191 7.41014166213089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.172760937326456 0.171070514480151 0.123400414119827 0.0514647494342751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.35569218358878 1.22154451975175 1.95995064818825 7.43560131553357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.206247888252739 0.204139544056753 0.158152970285354 0.0763447548612295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.40256570432869 1.23952263127731 2.12849903575496 7.41586699381642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.297855205413259 0.298970341011285 0.294002714253986 0.160311196985105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 1.81208727471868 1.35821858740871 4.14536601379849 7.99341598346118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.750746377233539 0.75534056795542 1.87557496162055 0.98327652677528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40688606839174 1.49920846145716 8.51392869303183 9.12879025346226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.22880461287597 1.23176864933168 5.28591008914462 2.43240686990309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36291436830214 2.24873498707192 12.6304343852196 31.1227883457029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.232488994543986 0.226081933897397 0.237734147120474 0.109131987610897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36353077160654 2.2490981290408 12.6221404514695 31.1167922839833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.232948069194533 0.227733906205015 0.238439556598382 0.110474264180776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36758922925256 2.25223743034667 12.6216565173706 31.1509575070835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.236015204510368 0.230656355333593 0.244709787548441 0.109868807156265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37853209903677 2.25867076611918 12.6495718766208 31.2101025433834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.245867055948444 0.240446573676085 0.255740054852121 0.109540739735279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.4736849678262 2.29253625129901 12.8529900962697 31.4804174360588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.328956276612584 0.33018802530242 0.408618116176023 0.178807037906784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.59564649275144 2.32123954546495 13.3047978783483 31.7018090891248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.448483805613346 0.450248481411686 0.706957249993009 0.343745971114886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37303275379275 2.2557054110718 12.6571572597622 31.1990157070701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.241215620464105 0.23561754597788 0.250890370563293 0.108078616284947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.40600262328364 2.27320830719295 12.6961317250713 31.3750362203511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.266316046583248 0.261732236188338 0.287470868468751 0.11966225651187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.49627102245737 2.30485304292669 12.8905610349272 31.6614145666098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.342190743752887 0.345305753477667 0.436668557416356 0.199982776780626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.92081604908549 2.35673990136572 15.1857547657524 31.5107713541667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.761789584649769 0.77440455848613 1.92697896486442 1.09660887129154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 3.43812142799612 2.40694332309016 19.6896065594313 31.3187051033822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.21339341532346 1.2302339837497 4.91142600940768 2.74800190267243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36592511482623 2.18584430195553 0.19556001353672 19.2786268391046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.260228178913135 0.205848402670766 0.494016024789377 0.0593028607496701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.3660639404228 2.18567748393223 0.195677923729017 19.2777468547947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.25701637343988 0.206556886839984 0.471875129219579 0.061906412447938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36634154700675 2.18568810721744 0.196681365955637 19.2810893097775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.259097900059079 0.207121009894859 0.456836654792055 0.0653309473463944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36745734239917 2.18622866776587 0.201335944525116 19.3002307820106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.257044508326614 0.200296749276084 0.403406159170752 0.0445475997363871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.3781074973056 2.19543805302135 0.254890467543823 19.545219390342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.305991095229585 0.288795295427819 0.333929967087808 0.129969372334529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.39904063046863 2.19645576812579 0.457650625217972 19.7379094495015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.431210740865425 0.402915155972469 0.556359676119461 0.259622582745421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36590269238776 2.18653895045452 0.20133833433442 19.2956406001117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.267790726663342 0.210751158408056 0.450758709987584 0.0765051728319271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.36751255546723 2.18898598447918 0.218399908275067 19.35573524146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.274651502587313 0.226252774086932 0.387194253455839 0.0859532040459194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.37586346462329 2.19928137582091 0.285686690512743 19.6078005082836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.332613660508839 0.311581442062248 0.383025521985468 0.169407647961127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.52559683863529 2.11823078841972 2.09405881278471 18.849492965796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 0.771090952505685 0.761833534108279 1.74661260135443 1.0349492690146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 2) 2.94297351667263 1.98185195071774 6.72640388127079 16.8147583435441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 2) 1.22591380014075 1.23536643053137 4.7823423513707 2.52926144957702 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0332612735651748 0.0148698993414603 0.00269402545957465 0.00067655059738466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0360882354106204 0.0146381168721164 0.00322159338861487 0.000674286049725406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0333045945995024 0.0148894757584432 0.00269759248942369 0.00067720777764642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0361328318182228 0.014648935034159 0.00322545214735122 0.000674807226077406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0333127413370823 0.0148918055664638 0.0026982318164663 0.000676961799098202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0361392302938558 0.0146445555270933 0.00322573096743823 0.000674427195282924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0331845921983175 0.0148524129139174 0.00268798494598858 0.000675136763679003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0359885497687432 0.0146061587356238 0.0032121732508385 0.000673335505125371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0333614323469259 0.0149410624927851 0.00270440977061754 0.000676306474795445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.036103380014713 0.0146165852156358 0.00322247450216115 0.000673679625664338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0337194455270948 0.0151656467505881 0.00273719832365426 0.000682561980841403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0363231037631472 0.0147782200233252 0.00324398131877558 0.000681115021984129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0332868895965567 0.0148831063269628 0.00270418924960586 0.00067801237676859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0361202209241365 0.0146589552743361 0.00323210239462024 0.000676276763968333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0332170279069883 0.0148724328468222 0.00270500504695925 0.000678263099044443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0360312050390521 0.0146410559697205 0.00323082296038386 0.000677136396443092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0334120619466595 0.0150025369865362 0.00273368143143245 0.000685431051721584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0361900287363428 0.014705951590837 0.00325941436669249 0.00068349732099931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0361036961718872 0.0163460632626434 0.00294653480597091 0.000749272866972515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0378162195288954 0.0157142449000946 0.00344437421273286 0.000745339693772777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0431153659341039 0.0187830578861813 0.00338449225321035 0.000869482060813804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0410696168653974 0.0177909202744418 0.00375609463203998 0.000863468537452642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.61801648933109 0.639466565381091 0.432251654887459 2.16248101634552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0594338263936245 0.0991593263229231 0.0101190437837614 0.0511214629743241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618005235353633 0.639463269115305 0.432227475209309 2.16244792042906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0594181267517083 0.0991585490260692 0.0101139466911313 0.0511202038732309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.617985674984735 0.6394552185079 0.432189988266039 2.16238183052781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.05940219802541 0.0991594450450902 0.0101094720795298 0.0511217955775487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.617934340465875 0.639425100572398 0.43206147495129 2.1621546074404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0593758711191381 0.0991661197893865 0.0101008226501672 0.0511330924792604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618399588751857 0.639939309149098 0.430831905694946 2.16380717973511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0592625912945342 0.0991869455765883 0.0100720675941683 0.0512005430620538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618028390963529 0.639626092495691 0.427637638276324 2.1601100881953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0592892333245664 0.0993202838942658 0.0100696372013096 0.0514344729383308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.617700824654407 0.639239744834279 0.432813775974405 2.16213650700203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0594849396597351 0.0991722188867268 0.0101254309122666 0.0512046612855341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.619452751106884 0.641010162527273 0.433070426441448 2.17115880519507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0595063870941108 0.099078832096987 0.0101263969929351 0.0512196179800008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618475883431432 0.640370917562457 0.432145681862813 2.16838985995713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.059587075552257 0.0993418615921194 0.0101373400213469 0.0514925701100068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.615633824602342 0.637519295433268 0.42104594980218 2.15083670431069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0610402929185553 0.10034190173954 0.0103615214590598 0.0532833137343103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.610919174837083 0.633224029772058 0.40055005198657 2.11974272360931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0638017967663614 0.102625509970631 0.0108320407152679 0.0570243498859859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142770146845331 0.00329231135015289 0.0582777675738844 2.30177062464331E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158419071103359 0.00210634679401374 0.0742207973902028 1.16748433349783E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142766022569579 0.00328950648113712 0.0582772094799805 2.3027482286888E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158411413380411 0.00210433106346008 0.0742146002648724 1.16666900891298E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142763183991352 0.00328830911264756 0.0582774024692835 2.30887036551337E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158403883164258 0.00210469187545106 0.0742081751411531 1.17258557112043E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142911624673872 0.00332019470266606 0.0583383020035139 2.34492395419789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158558795232334 0.002140280235371 0.0742771275190314 1.21606214798222E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143046195073263 0.00381000314168264 0.0584523444351594 2.79823225284907E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.15858547875989 0.00269338716519867 0.0742959417924665 1.81031847509634E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143545988179946 0.00446742767047673 0.0587691533587896 3.6917911813376E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158908481954214 0.00353634486047063 0.0744876584165331 2.9811895513255E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142805502658038 0.00329778206153578 0.0583145266365967 2.32348429111475E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158443362595616 0.0021210724151082 0.0742378140350025 1.21294130197994E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142870538436334 0.00349012514583574 0.0583727930785986 2.48394612601005E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158483422271473 0.00229969790805422 0.0742678057398143 1.42104373630934E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143128880626308 0.00409990712528808 0.0585648158543566 3.1833573800412E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158655361327681 0.00297451958621829 0.074379453544078 2.30433921712574E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.146012979396878 0.00703921095280789 0.0603642732147511 0.000111964855294152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.160632515900257 0.00664678544163348 0.0754827443676129 0.000113169045857918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.150326702659272 0.0105727704664842 0.0638221835469897 0.000299779490075733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.162851931631673 0.0106462841927242 0.077412642168889 0.000284214733252038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.638006198687247 0.655343147811011 0.417673951782344 2.2472836054597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0867173705898765 0.114445214608517 0.0216576839357078 0.0648654602509461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.637994081654721 0.655334896270825 0.417660780500733 2.24723335481805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0866563474461567 0.114444189094534 0.0216379475987756 0.0648646746094921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.637977142554679 0.655321433718066 0.417627252748324 2.24715113509587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0866468325741324 0.114480915839564 0.0216325730627918 0.0648729519693958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.636982197307824 0.65429564264165 0.417448692033284 2.2415991957751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0865692293863056 0.114322062665528 0.0216133605888289 0.0647528582912303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.638515970648629 0.65601928941114 0.416802254408526 2.2512966821293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0869516927005968 0.115014958783736 0.0216861420398525 0.0653860078152724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.635958428577641 0.653580520016859 0.414269472821484 2.23776308840674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0871170200359851 0.115409470699189 0.0217104680311065 0.0658255169942374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.637991522275118 0.655383362649263 0.417574930459366 2.2473903423374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0866832557654732 0.114487527931446 0.021649113989345 0.064891946689777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.637909721657707 0.65536575321077 0.417273431343708 2.24714793941442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0866954281392459 0.11444795254473 0.0216437221866703 0.0649384721003359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.636519828449961 0.654042715467926 0.415380044862739 2.23885962722312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0865610776947641 0.114191895901409 0.0215943860769324 0.0648652467350754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.630501091921453 0.649095395834722 0.401394681411577 2.20823788407818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0877533276405569 0.115679009178301 0.0218215618205875 0.0672733691115781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.626631947387243 0.646826635623163 0.381210249359498 2.19018237220673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0905649023385266 0.118646484588689 0.0224787839039589 0.072451934195797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.440672648592305 0.414759645608428 0.153221747812858 0.889698819543181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101539229863468 0.0597370097790956 0.0278277454609481 0.0185043922479975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442857254490856 0.416904636768459 0.155276410174509 0.899555722859909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101571830409162 0.0597110236723414 0.0278370176265092 0.0184991607116646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442892692339758 0.416903558767738 0.155272023180172 0.899569173484553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101605125497791 0.0596869430920402 0.0278468775043201 0.0184957794478506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.443517442158364 0.417516007629442 0.155272321376332 0.901683005446929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101749870662428 0.0597325441535024 0.0279197135366353 0.0185324523576445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.444429524683016 0.418191080727493 0.154726326389025 0.903994704094631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.102221303503602 0.0596892134059555 0.0280551979492398 0.0186152145562394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.446583513067631 0.420204627977088 0.154543760143332 0.911580765958359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.102805375901598 0.0598130222084832 0.0282218556796246 0.0188113607820994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442892672292404 0.416954954914508 0.155439088343667 0.900015250116357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101673298554407 0.0597871670577613 0.0278639729562293 0.0185403575235852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.443451404261742 0.417584811188583 0.155332013984466 0.902135820262285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.10174786596815 0.0599325780401611 0.0279185411051076 0.0186001117916106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.444138559100972 0.4183188046662 0.154751816909105 0.90445924580964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.102016571037324 0.0601709996597653 0.0280054175321374 0.0187352308021992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.446444862874923 0.421620287351655 0.149101989134866 0.912761918866242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.103520226765348 0.0616425337050892 0.028555550383718 0.0198661757530467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.450408324575481 0.427607495641376 0.141733119198548 0.929752468000692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.106230372429811 0.064760801265411 0.0296147383603764 0.0222450001775199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534682983824292 0.540365936687451 0.386057438331914 1.60554767966474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0460273660007154 0.0522229461803187 0.00633606327894807 0.0147398615777194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534681515574179 0.540364180031613 0.386043745420579 1.60555684610736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0460424317140232 0.0522407644990484 0.00633946169853919 0.0147506019913433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534676599919476 0.540365534996732 0.386014743901771 1.60555908079132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0460784654032557 0.0522642055823811 0.0063470496602717 0.0147630489581002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534990159400683 0.540788865523543 0.385400720980447 1.60677382638795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0460355562435569 0.0523259999570904 0.00634580405523799 0.0147874699243438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.531818363831584 0.537802281983497 0.380656273204525 1.58961092649262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0461635613751913 0.0526683665578739 0.00637884022997935 0.0149406199545619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.531350909992247 0.537638883918804 0.378792904761302 1.58783410528858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0464121154872056 0.0531968475594825 0.00643849702541498 0.0152135984034447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.531930004488127 0.537657907044555 0.38186676301349 1.58989728417486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.045971451442221 0.0522371690377041 0.00632154125821645 0.014750132457499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.532243354209216 0.53790110872401 0.381695997489032 1.5901936343069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0459002204229818 0.0520404595676805 0.00632003521714641 0.0146695050806957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.532258100150655 0.538418990587961 0.381403214104896 1.5920445168814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0454724083438631 0.0522885331097001 0.00623629407551422 0.0147933248765838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.524509205484474 0.532202076861278 0.369217636834143 1.55546802520885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0456002344743711 0.0542538275816132 0.00624149596809407 0.0158220484055336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.520219185935001 0.530208277993926 0.352093268619294 1.53514368609144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0470334853208906 0.0577440403549693 0.00645793936680808 0.0179267903906062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692240135875649 0.709215596767857 0.365410896674235 2.41060222655348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267033375214408 0.0540608273301651 0.00198801741473077 0.0134750936106564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.691258913358393 0.708161298319993 0.365511152852827 2.40473521901645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0266978656991692 0.0540004454295444 0.0019833064722115 0.01344428364762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.691235803539734 0.708135721922548 0.365530870928492 2.40461644186029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0266864328294789 0.0540009188805373 0.0019825092250225 0.0134405594971692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.690006105146657 0.706991356514729 0.364760370054527 2.39785222013209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.026664659500719 0.0539900853240291 0.00198434256273325 0.0134573834246108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.687644365337598 0.704409108358023 0.364509942393685 2.38349995567925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267729555068802 0.0537807766021171 0.0019822189100112 0.01341832241653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.68497770443197 0.701480662678869 0.36361127140732 2.36698883547151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0270777142894702 0.0536564740019324 0.00199644370228357 0.0134449465270088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.693178742811289 0.710253368722927 0.365343984977258 2.41632269240978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267345340761989 0.0540991206894178 0.00199242376295235 0.0134942770505767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.694845559528383 0.711903114666955 0.364993903737445 2.42511438030646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267834290394425 0.0541333699205642 0.00199436941859485 0.01350148817501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.695627487845492 0.712549680636352 0.364312676270059 2.42832892600516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0270897736793026 0.0542017119103251 0.00201426782225327 0.0135471578119589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692244006038697 0.708787746171025 0.357354134789072 2.40329909309613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0291677012259755 0.0551042863427725 0.00216959744133046 0.0141985473012277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.691916995454405 0.707264014647929 0.346026522056996 2.38854148178778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0330222755168633 0.0571958557900295 0.00246141666081031 0.0157008292902316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.461009246362391 0.454334511808986 0.201672217166042 1.06978253741567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0554198307507806 0.0434222122490573 0.0083343617597295 0.00901579181718296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.460998221034851 0.454339130230912 0.201665213427857 1.06980636740092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0553982978827935 0.0433771968327958 0.0083315037354894 0.00901422763092793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.460987440565598 0.454347979212125 0.201650893155891 1.06983449678442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0554090990268562 0.0433904184351077 0.00833558776580154 0.00901425630553274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.460967667433535 0.454367516534928 0.201590897252042 1.06988039902264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.055406594029027 0.0433655674042443 0.00833885420349271 0.00901645657228375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.461430796970776 0.455095375589889 0.201127030457499 1.07229489428059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0554977711711075 0.0433286402463654 0.00837574388766236 0.00907077576725152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.461435309412655 0.455197117325779 0.199957959025944 1.07212527320198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0557783047142938 0.0434774331907616 0.00841460416693309 0.00917268136744438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.461052144845914 0.454288379601716 0.201670679595821 1.06956739865167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.055403829577421 0.0433331289832485 0.0083280021167121 0.00900945968488553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.461111459837648 0.454243819434972 0.201572082243162 1.06930474866607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0554369159739675 0.0433070878525555 0.0083319205990797 0.00901291500180726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.461258237263211 0.45415537431059 0.201084366542211 1.06863541104508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0554827817636441 0.043291521132116 0.00833185347322624 0.00904993581943284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.464190421464795 0.455976719838785 0.198518080517613 1.07489893930149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0565147348499895 0.0441339845719002 0.00850318680629988 0.00963879871883621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.469540842049066 0.459876208624117 0.192031568353908 1.08644660896863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0586988516859328 0.0462600773186884 0.00889780987875484 0.0109332246281125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.649901713301081 0.67514776314964 0.441699247246962 2.39068088879297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0861579700661391 0.126537061847323 0.0210998683618545 0.0794612183460269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.649926395577432 0.675147420505319 0.441703306578786 2.39070770709776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0861752336723611 0.126546326860764 0.0211030291092576 0.0794630403556621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.649941975732897 0.675141251925581 0.441687347437427 2.3906968034415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0861931841738828 0.126586433384868 0.0211067729567948 0.0794753572836508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652503956824207 0.677605813290857 0.444620498724626 2.40603294274935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0863523395250523 0.12669670691413 0.0211620988334981 0.0795096224998702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.654254116203181 0.679384888230194 0.443430353601274 2.41581163607776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0867817238553418 0.127369371684392 0.0212568163771085 0.0801580510596748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.654633867076797 0.679722848800358 0.44098522169553 2.41732752836159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0873084634788003 0.128002176012673 0.0213777590555136 0.0808786588313126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652447934327075 0.67762958723325 0.443876701508434 2.40514144585533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0861676644258148 0.126434976151887 0.0211218757547868 0.0793093423047582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652169743882326 0.677254272684932 0.44281956876349 2.40212022545785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0860764091670551 0.126385160796943 0.0211067094713408 0.0792014173013628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.651782207973205 0.676882450063104 0.441362341876472 2.39953631882625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0862539314786178 0.126458737265547 0.0211634555917632 0.0794104618764763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.649285891633823 0.674313418156565 0.427044059345628 2.38076830600334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.087901690084739 0.12783414434869 0.0216793276405196 0.0821231859534748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.638948653038742 0.664912643674358 0.394130889004889 2.31319937304315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0913003390000037 0.131017194712053 0.0228228546110041 0.0882405699899469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0827638805808874 0.00255952040957118 0.0148424013612889 2.77894928848518E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0876127661347652 0.00158070025649359 0.017452219215246 6.07089638205874E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.082756399900549 0.00255641187900044 0.0148417069588837 2.77410117932584E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0876107146743628 0.00156555809447954 0.0174523352785579 6.00861550227556E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0827491856313917 0.00255651471731137 0.0148409701366645 2.77749248970159E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0876068207927952 0.00156286106021153 0.0174519171316873 5.99117662940633E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0827745405422951 0.00257094514793494 0.0148354611016923 2.81642187647315E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0876315123261613 0.00158277579553108 0.0174455850317259 6.19087229332097E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0828933189904966 0.00288473686171001 0.0148515594944439 3.41407591965911E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.087693797795972 0.00186374466929989 0.0174551471586207 8.80705348632607E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0831126208843942 0.00349401576473462 0.0149107024457966 4.74968278490179E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0877792101538308 0.00240729331921052 0.0174997824663114 1.46535041493445E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0827672757568399 0.00256428862238952 0.0148373274606805 2.80635157647467E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.087606028633971 0.00157639371366973 0.017444340336383 6.2014065152377E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0828000909661319 0.00264968560991353 0.0148375540417321 2.96806238776505E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0876119156401522 0.00163908914798854 0.0174394850418778 6.9050505967056E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0829444085925511 0.00304709304869614 0.0148526322665195 3.7190997396801E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0876494858566571 0.00201432699876724 0.0174359675294665 1.07118133780508E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0847596595675226 0.00581104588879089 0.0151760760527941 0.000126972999460682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0882909521934312 0.00449377647529839 0.0175414187722607 5.34040268809411E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0894828808743153 0.00972369319792786 0.0163023044243844 0.000370463533116328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0899710744422592 0.00715514399116896 0.0179283182039567 0.000139401225301062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0207143215940113 0.00964772047737682 0.00117078287987226 0.000306323693084154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223072251550752 0.00972966276139176 0.00136282565148187 0.000317901849601967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0207474538175596 0.00963662854546003 0.00117332146897325 0.00030581262891553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223391127373092 0.00972270504978679 0.00136539125633707 0.000317493663974148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0207827809703445 0.00962635195515943 0.00117609817283378 0.000305404825320199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223740644750317 0.00971584595665348 0.00136820721120627 0.000317173825464789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0208571893329267 0.00960740141957112 0.00118214146226363 0.00030484306003002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224461714682984 0.00970106082523432 0.00137426040712667 0.000316714693561528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0212583899737105 0.00964163157824628 0.00121581906102486 0.000308743059970196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228016955646934 0.00970832246265638 0.00140708839571279 0.000320434843004948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0218407917432522 0.00997677017598228 0.00126243835681118 0.000324179624027451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0232764710396003 0.00997786811530303 0.00145084379990157 0.000335862910652153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0207615742237866 0.00965869305095778 0.00117888890236901 0.000307151198205173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223467420154991 0.00974999786340731 0.00137087689617213 0.000319003321587039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0208027216899415 0.00969274551844554 0.00118699002092979 0.000309395671812183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223742840832309 0.00979128318897179 0.00137827350707037 0.000321594512966014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0209793346178409 0.00987926852241354 0.001214432680373 0.000320602196445559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.022526628854512 0.009953468094608 0.00140412349629322 0.000333263718421953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0239799362455318 0.0127823831927626 0.00143779314553295 0.000451317678579658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0248810915501888 0.012511906670211 0.00159757804969284 0.000469640903382549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0304804529451432 0.0168616135170965 0.00186017752225291 0.000674266136349791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0290670253081149 0.0163124455096983 0.00192482706295254 0.000708162176407161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692230347552472 0.714397397802835 0.527272338087019 2.64338746600817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412392666504674 0.0758930469936096 0.0055168536198268 0.0297787755923878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692229566428907 0.714402436856613 0.527248817249207 2.64342363537991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412902513886864 0.0759063632365427 0.00552388077318161 0.0297901066468403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692228439961737 0.714403705812244 0.527209529618129 2.64343399000587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412963612732614 0.0759329102286261 0.00552488149359425 0.0298039227314478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692540360713969 0.714710070029337 0.526675704701288 2.64484514656807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.041341141717707 0.0760019705141782 0.00553415094473336 0.0298383856328601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.691383480502265 0.713586098547679 0.525548697512019 2.63780565285533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0415220228130797 0.0762701016622149 0.00556214219153866 0.0299837826448256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692841501505876 0.715132064584337 0.524346041645833 2.64616540061028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0418238822685471 0.0766517183940307 0.00560873313517005 0.0302867952608293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692138929016957 0.714401998710614 0.527107787682553 2.6433001797088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0413595097995854 0.0759347988920072 0.00553983877358578 0.0298156954441476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.691996398409729 0.714349916749279 0.526764004105808 2.64283536323569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0414759027530626 0.0759860090848218 0.0055607221528455 0.0298711454439205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692767651047894 0.71525832670601 0.526111532717192 2.6470593439424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0417216968059167 0.0761423411471378 0.00560118922273658 0.0299586157755894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.688337733263575 0.711930872376653 0.515433550111584 2.62376674719619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0438182065414085 0.077809385175465 0.00588984323121761 0.0316043804008413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.689100237217023 0.714152230014889 0.496657845623376 2.62554601988411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0472634532963537 0.0808416224184016 0.00644495020322775 0.0348062850289177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143383407511413 0.00312427854588853 0.052541844594393 1.91751037913863E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156918798376851 0.00201427215509907 0.065462849160206 9.99987022430794E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143368235381492 0.00312843017579832 0.052532709437986 1.92080779889184E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.15690442511947 0.00201761361549763 0.0654497871170932 1.00388810071628E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143355716042829 0.00313455062972031 0.0525252789009283 1.93081738484983E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156891516732988 0.0020215517701766 0.0654378466734079 1.01538874370158E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143337790914874 0.00317713288036446 0.0525150297947187 1.97781778585999E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156869287702387 0.0020598010786513 0.0654167829237768 1.07212136351672E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143398402418256 0.00371772770555239 0.0525462363279778 2.56381953235505E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156862391835803 0.00271858914028038 0.065381368697823 1.83124213137081E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143666268449252 0.00440571421304501 0.0526950477315749 3.76152590222978E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156988197152197 0.00369031529867388 0.0654250025018897 3.34819479467232E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143361228097508 0.00316060457258887 0.0525260710465816 1.95000029091277E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156906341321146 0.00204429448199688 0.0654411550725216 1.04530534506976E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143365918998081 0.00339428862766171 0.0525276831643149 2.12862734672644E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156906726028026 0.00229469049832454 0.0654290309094843 1.27637622405837E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143526028415293 0.0040172942077137 0.052577935231633 2.86925085584883E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156973904757414 0.00303501746051393 0.0653964932307161 2.19027331208935E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.146081919370676 0.0068283851879425 0.0538617093947318 0.000115881674919891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158589900398659 0.00674389492904581 0.0661543249325875 0.0001134574443234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.151635750951546 0.0107598947060267 0.0566423417619788 0.000351325560959869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.161426685943452 0.0106729604446261 0.0676493839796661 0.000284093144641489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.641433228064308 0.652576250319362 0.543015404045654 2.34724027702223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0691923484425243 0.089615547832289 0.0138472629655003 0.0411708273687519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.642299070344486 0.653480905778036 0.543157741064292 2.35231980181843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0692525197830412 0.0897488028243129 0.0138600167785282 0.0412608392542291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.642290074712586 0.653473052243756 0.543122057932426 2.35230751795355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0692510019137704 0.0897482503667884 0.0138613072090395 0.0412713431177287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.642258788915021 0.653446054395784 0.542993376264741 2.35219762205847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.069219771491213 0.0897349809174136 0.0138514362636037 0.0412995456111776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.644591072867096 0.655776465174815 0.546046635211856 2.36764707820099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.069280766597352 0.0899444357744716 0.0138793471012979 0.0415212148276141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.645766835951996 0.656914639986821 0.5476089360732 2.37591295734392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0694150347836133 0.0902606480800388 0.0139317249793869 0.0418142288812822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.641463279822637 0.652543869096626 0.542936605394346 2.34708443500386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0692769732141006 0.0895728329650304 0.013857064470288 0.0411643461231097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.641466094348468 0.652488400989396 0.542668514774162 2.34668368334363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0692997346915374 0.0895381129995546 0.0138471374904164 0.041179482484628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.64493611382905 0.655916483852482 0.54369937979691 2.36570437364295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0694201529294249 0.0897465810934897 0.0138527225610416 0.0413453027872927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652542649045405 0.662429305110928 0.541490491015068 2.40346438455904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0710533732799587 0.0909147637192049 0.0141216760228001 0.0428958849408821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.649049613040578 0.656855167310556 0.512938723515195 2.35891709757804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.074298672444334 0.0930552911198226 0.0147977320946217 0.0459322215490849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.482411442180515 0.466303913015214 0.189441248217965 1.10386065415991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.074242444838135 0.0449924150868047 0.0164493504632232 0.0103261813062394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.48240400909797 0.466304274227185 0.1894279219527 1.10385677169109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0742392330677886 0.0449761207859996 0.0164485951150102 0.0103245609898341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.482397666141759 0.466306415756034 0.189408968690972 1.10385500583227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0742382054943626 0.0449684117463204 0.0164486806975661 0.0103243960429628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.482388827878363 0.466314917866994 0.189347192355604 1.10385688977541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0742456362973276 0.0449331702143545 0.016451843206781 0.0103218957896125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.482380291981574 0.466404393306262 0.188804442560494 1.10392350349639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0742793943432611 0.0449136231890112 0.0164669126677356 0.0103614664117493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.483771532999105 0.467932183610484 0.187763553262968 1.1093454949419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0745785925688899 0.0449573129793525 0.0165430434277421 0.0104923536376417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.482365645651301 0.466308369792812 0.189146291469397 1.10362182978875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0742386198820905 0.0450354345191746 0.0164583389493431 0.0103228726259908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.481532821173287 0.465499989125277 0.189347177815229 1.10080112134294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0743357562326527 0.0450765512780007 0.0164909028416079 0.0103500078767072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.483634546456221 0.467819390638831 0.189303712308985 1.10993558199343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0745012561885739 0.0452061888000604 0.0165507195811089 0.010420771657611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.485821861797062 0.470900989489201 0.186345752341095 1.12168869346366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0761061048034337 0.0465660869843889 0.0170227946958812 0.0111799947860859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.4870559255823 0.473765058030133 0.177016736485253 1.12675539698543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0786073242655115 0.0488777018694872 0.0177845784829018 0.012600869604234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.538730457618541 0.54317164373104 0.407789435356797 1.62323607828626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325600211373558 0.0381451072888539 0.00354563764252453 0.00781581110605518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.538735867503801 0.543149590596652 0.407784219135594 1.62318038560601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325633302712453 0.038153626994025 0.00354628065952034 0.00782015446560579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.538737411054245 0.54312638789905 0.407770490777675 1.62310963247153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325401308917849 0.0381622528767212 0.00354415774951256 0.00782519845185238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.539037309824892 0.543413749899517 0.407180158563028 1.62382294543507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324743571436775 0.0381576351190341 0.00353910551935966 0.00782832611154009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.538816776104358 0.543037614060548 0.405913021118338 1.62128891020095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0323751413470537 0.0382917234453414 0.00353696323494675 0.00789570275329665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.539336978032053 0.543370927110545 0.403463861656797 1.62097498240454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324282740704085 0.038485368724193 0.00354757929625649 0.00800966422683435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.538664326824132 0.543161150577659 0.407717481041098 1.62322980233526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325331562065357 0.0381758424796152 0.00354200677937303 0.00782671577305182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.53540507751951 0.53998347558663 0.404879650515041 1.60686320257921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325287360346697 0.0381886701330607 0.00354190684612085 0.00784350498294837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.535803058093972 0.540655829032425 0.404101478198806 1.60928093827068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325780284609134 0.0383559601483377 0.00354966133826363 0.00791609367618145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.532918032502043 0.538734293976195 0.3935515995499 1.59387583527957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0331925601062847 0.0395259702026541 0.00362331770619143 0.00846069800615636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.529222682908481 0.535678860225411 0.375919978637976 1.56842863006355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0351191538313037 0.0415095955165396 0.00386986357719519 0.00955829830087039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.704285571656021 0.714925352831983 0.418963280864976 2.48506375183828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0193864840609817 0.0370555655336891 0.00105072838229677 0.00623582981133654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.702993452934227 0.713690928462035 0.419526597641605 2.47846115099676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.019417709958616 0.0370550458855071 0.00105260105465996 0.00623543513323906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.70300297064719 0.713704858906909 0.419491446843381 2.47846789844206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0194623507196129 0.0370547849356103 0.00105607075627187 0.0062355600416276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.703011823654483 0.7137190724612 0.419392613418762 2.47839617410686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0195330598047611 0.0370586472399475 0.00106079379844582 0.00623762616057251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.702880129293957 0.713592768499515 0.418623670449315 2.47697239275188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198655913222337 0.0371089993444954 0.00108269927892143 0.00626911299604441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.703053340127233 0.713686792970518 0.416693772142791 2.47620230633445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204017607141271 0.0372207376344314 0.00111829610347293 0.00633775686363352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.704230198289924 0.714940981709448 0.418886796166769 2.48503849547639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0193861981502094 0.0369845356152677 0.00104810350010507 0.00622381822744084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.704145486639619 0.714910582842127 0.418713537818166 2.48472104031234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0194348991945762 0.036913036338773 0.00104760920729805 0.00621768502634141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.7025765671254 0.713464451860999 0.418647132497718 2.47659933869187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0196884225672369 0.0368146693059125 0.00105586029803764 0.00622690357099229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.698982137266953 0.710272591811905 0.411469557699146 2.45354466783646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0219007829230852 0.0373114985422769 0.00115910737067668 0.00653711754457284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.698176398021156 0.710517754848717 0.398527556095708 2.44646012734372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0255029164799435 0.0395511425437515 0.00136476031941585 0.00746541215820214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507226764959241 0.504394551515877 0.234280541099827 1.28728171786005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0413568401697018 0.0328209920986414 0.00491952519579312 0.00514167667338301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.506703985200737 0.50373820364946 0.234136598234352 1.28461227033023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0414263991002359 0.0328290059352351 0.00492004323061922 0.00513964278637909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.506687641197489 0.503737508832258 0.234105011841568 1.28461535370136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0414085800168926 0.0328761841925136 0.00491775557840545 0.00514690739850972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.50665438256873 0.503738001198456 0.234018068416899 1.28461460632832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0413528522011051 0.0329489016644108 0.00491064581604113 0.00516280660083165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507856454699878 0.505116645179001 0.233330295752567 1.29004639536206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412703958029734 0.0332435009832978 0.00490368980481955 0.00524956803328214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507723292208068 0.505183076315698 0.232137300329619 1.28981189483668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412783162239948 0.0336557343236185 0.0049096818063395 0.00537790303871013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.508100692299852 0.505341858636115 0.233934697441859 1.29087991735003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0413433168927105 0.0327472947879847 0.00492316525837549 0.00512811718401819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.511236961316472 0.508522886353137 0.238931419260499 1.3092117899543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412963800389596 0.032670506073972 0.00492475783285407 0.00511319038283535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507990941397621 0.505393715469835 0.237284947786261 1.29476102481136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.041382246292768 0.0326641130725823 0.00495344897350926 0.00512906705973953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.512377084081207 0.510443434912053 0.234948259681177 1.31468202068608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0423411325021282 0.0336391791962465 0.00518835469255641 0.00554010483911681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.517240383450912 0.515632172725638 0.226572761409697 1.32984253386853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044611509627227 0.0365396567013677 0.00565463147822232 0.00660044667846907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.729670083552742 0.754285249815705 0.525251615758696 2.90606415790317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0648820483687298 0.103299196318608 0.0131965889844038 0.0520455808966751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.729669092123589 0.754283312541316 0.525252927193324 2.90606699709744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0649001965352074 0.103275726210027 0.013196843950353 0.0520394009043633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.729769453163363 0.754315197126185 0.524505725039057 2.90536999482356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0648953456926092 0.10319380705132 0.0131973138392751 0.0519448435193558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.729743323806168 0.754288668511871 0.524431088892079 2.90520363837095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0649417488128406 0.103170249721593 0.0132005127626828 0.0519473611428182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.729217284792657 0.753695010655875 0.52414964272969 2.90221291576607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0654030477159708 0.103157572019093 0.0132732108398459 0.0520955946229444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.7309847192384 0.755512670557516 0.523697820298396 2.91304525170787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0657061698964 0.103225755064511 0.0133145289803182 0.0522985323924195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.72712457193604 0.751709725270803 0.522135221343621 2.88877162277231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0650174184138719 0.103444461083077 0.0132285415893671 0.0521637471184177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.72713550235753 0.751642164316758 0.521165041603815 2.88740565712302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0649278481210344 0.103420858215493 0.0131989697858336 0.0521330402658352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.726794358486641 0.751267230082726 0.520199653907262 2.88488597011132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.065057499746398 0.103545127535186 0.013211453382683 0.0523249256634982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.728011832159259 0.752679845388215 0.514831772150781 2.89366746784002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0661794676698326 0.10510757165137 0.0134401946365355 0.0543757275542687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.723788681130753 0.749040057858736 0.497726029133632 2.86486829551943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0680101689240392 0.107604920314589 0.0138664170548324 0.0579557690162529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0639810035942368 0.0019044004640316 0.00929057595398025 1.46968825835497E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0667870630140427 0.00120293980440038 0.0105267000724998 3.02269126828233E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0639780053562996 0.0019027122720396 0.00928946698744455 1.47030274626721E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0667774120479835 0.00119643828141476 0.0105244601469273 2.99398906952785E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0639752155805093 0.00190569083915273 0.00928849110290178 1.47903029930784E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0667674585767246 0.00121273491381946 0.0105222464303856 3.17672877515106E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0639762403049592 0.00195267082800429 0.00928783359676008 1.53728714371424E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0667506688202691 0.00125125754552929 0.0105186111244328 3.45929801304677E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0641217406360886 0.00248449166697331 0.00930572395510553 2.23996435870898E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0667803814120074 0.00175099085300618 0.0105186019233207 7.40941461368992E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0644504924159465 0.00323828379657909 0.00935434719964873 3.5969443740793E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0669236355960927 0.00251057238973099 0.0105370629916083 1.581288887437E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0639087036211485 0.00196363641900216 0.00927478475710871 1.5187247904272E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0667176352351788 0.00124968832628175 0.0105094440759369 3.28066994491171E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0638577834972436 0.00217038975639466 0.00926272965717713 1.7290034372722E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0666555824289018 0.00143220539235747 0.0104940709957318 4.49087891665405E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0638279788705173 0.00275806628743376 0.00925259264882599 2.51615370779189E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0665722226072808 0.00203732091379361 0.0104730112172437 9.34349907226504E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0650160515566371 0.00583694855684866 0.00943620333329212 0.000108306263695763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0669621051732226 0.00504366913904473 0.0105137866404393 6.16742087536822E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0689336124033493 0.00961495949758905 0.0101500995703642 0.000308250160375219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0683646849820562 0.00814779255117973 0.0107519591583013 0.000164062423982723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0227524448860566 0.010461510990479 0.00144086088788904 0.00037022400246288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240429248156662 0.0107735621368081 0.00163494208821375 0.000398044244564166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0227560987358997 0.0104725241274829 0.00144080421795738 0.000370708846527765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240402965362636 0.01078736080846 0.00163472073599397 0.000398549838197897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0227626767453561 0.0104835341346225 0.00144109804244963 0.000371273904814499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024040523204115 0.0108015480118294 0.0016348232035538 0.000399143176585031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0227829086353825 0.0105060512912377 0.00144240201214389 0.000372652519377888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240478667928307 0.0108311988562651 0.00163565804274805 0.000400603512088844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0230348482041455 0.0106562403183414 0.00145965183635685 0.000383122678326111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0242102068565434 0.010971486481218 0.00164895194188854 0.000410497432995611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0237258698605465 0.0110552146992244 0.00150060748038925 0.000405008332474736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0247157244254403 0.0112924371218496 0.00168139128553065 0.000430957444129877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0227094057980145 0.0104612387268483 0.00144665191033811 0.000370458436218337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240030953858512 0.0107700956070634 0.0016401171831178 0.000398633306736435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0226990460009557 0.0104649749307631 0.00145442501200403 0.000371219566076113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0239888878333279 0.0107678933615866 0.00164679941999121 0.000399722983753878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0227685140353243 0.0105332858814845 0.00147660544076809 0.000375389912486976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240118902276697 0.0108026225073589 0.00166484471126952 0.000404349559273828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0254791224306446 0.0118932266737998 0.00169315409792677 0.000435204375053418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252942358784829 0.0118471978760291 0.0018146662469837 0.000465910365978825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0337661687266186 0.0151199772068466 0.00218705478124596 0.000582812985848896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029116103326527 0.0142561713223225 0.00209963543074743 0.000596531874846032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.666344602970227 0.689060890912677 0.474773324283164 2.44596933017798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442011849733122 0.0785957602278703 0.00645619023513302 0.0319438543076264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.666330803745704 0.689063471318839 0.474760857067259 2.44599052571645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0441969603810299 0.078593927892141 0.00645496167792756 0.0319472766681924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.666309962819867 0.689060041479438 0.474726080987663 2.44597089450365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.04429640785108 0.0785898827239012 0.00645704080120313 0.0319529941275209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.666247276156284 0.689035910617225 0.474604276062387 2.44581095163713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0443790277786034 0.0785747181018465 0.00645972229280375 0.0319677369552559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.663177784014072 0.686056842028889 0.470899437048347 2.42770681458335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0445792988513757 0.0786823365883985 0.00648002819255517 0.0321256183482732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.662294596965625 0.685344071278179 0.468463640141591 2.4229428813599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0446773730999286 0.0789396289672413 0.00650588352187508 0.032429571785414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.668229357535068 0.691001218298604 0.476631701718688 2.45798748863417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044168742558851 0.0786235461175802 0.00645424617174184 0.0319724864515436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.666180689552623 0.689029306278555 0.474882053770494 2.44629723242988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044179269817121 0.0786229281695823 0.00646243016845969 0.0320183958782993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.667458314194321 0.690435312024354 0.473738876032957 2.45396749295922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0441931407698456 0.0788120775262125 0.00647159251859053 0.0322400529355517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.662296435778542 0.686455233711837 0.461533499129769 2.42756340099385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.045080528148525 0.0815155183265926 0.00668293537998341 0.0348726862675773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.662143087650556 0.688007598123858 0.444868743817797 2.42718169533749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0473454653971217 0.0847732540611588 0.00711298245305489 0.0382265914055743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148612588331065 0.00411594385362208 0.0590679909795554 4.91100911709645E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164255030374258 0.00517704209212957 0.075027763403221 0.000239742701270857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148608015208068 0.00412011099234784 0.0590628570765302 4.89772173783659E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164246319547606 0.00517817802528976 0.0750222584474787 0.000238960703442892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148606788905304 0.00412670257298419 0.0590601057853964 4.89119056759343E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164239064691879 0.00518330969003406 0.075017984841255 0.000238351280111207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14875069921847 0.00414430152920678 0.0591100593986778 4.8839319343962E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164390821762784 0.00515241157960376 0.0750870476640831 0.00023527555428583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.149091692471705 0.00446037490241227 0.0592757097013908 5.26125703215034E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164612013031484 0.00552290699614209 0.0752073281223157 0.000242912637322228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.149408978362791 0.00489948062188085 0.0595173420134589 6.12481702092413E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164680357532858 0.00616287865272836 0.0752933102821746 0.000255633623921046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14867157822891 0.0041245020056443 0.0590870172439177 4.96059431053832E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164288924474209 0.00514090389365865 0.0750521409706959 0.000242269631771935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148911537067484 0.00420577523623008 0.0591862395599443 5.08280671418199E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164501541865087 0.00510314003235878 0.0751653642405574 0.000217428237480414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.149071776936937 0.00452896056486396 0.0593135932249081 5.68418962831013E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164461590213509 0.00557041520065401 0.0751943835238175 0.000235302651246451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.152398740355431 0.00635786404684843 0.0615906074193705 0.000126526382518537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.166084684931796 0.00829994424047823 0.0764307471400863 0.000356581329763758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.159682238138289 0.0105047305117611 0.0666412243985585 0.0003786145679113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.169168958012203 0.010906187547789 0.0786906322033367 0.00040483313407018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597651012702921 0.6076107905708 0.490729790378178 2.06648498630044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.072053765140245 0.0914412920932433 0.0150018517165352 0.0434912422597587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597659109099714 0.607617545442028 0.49071165471748 2.06646492949058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0721504643407948 0.0915099695603333 0.015031069058306 0.0434942213825625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597663192421621 0.60761894699778 0.490671203034406 2.06640919139536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0724141364427113 0.0915112916272085 0.0150700896824216 0.0434945220149359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597663041540337 0.607612999215184 0.490522917266244 2.06620755026298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.072475637998413 0.0915017619765813 0.0150879770964936 0.0434949054217569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.59890625163013 0.608916063821807 0.489357699056276 2.07197575778424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0728610111097386 0.091770913401844 0.0152032364925319 0.0437466466107059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.600120789814686 0.610010660208894 0.48766626685671 2.07641616016241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0733718532874914 0.0921137315088163 0.0153461472422167 0.0440653394731222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597653511311416 0.607571689394145 0.490738319089927 2.06622657725047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0720287758335634 0.0913704655622215 0.0150022937415056 0.0434443710764213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.598329342902353 0.608282307517317 0.490664565021089 2.06972796028174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0720469631612673 0.0914647738683417 0.0150152360022654 0.0435093855203392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.599924768482739 0.609903952830707 0.494228773568767 2.08047821348559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0721208401559476 0.09142107171369 0.0150426016109799 0.043552067233234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.598724015218832 0.608090967097357 0.481694865104778 2.06568108579147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.073083516740277 0.0925487125598129 0.0153096941150067 0.0449356632970776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.59690800362081 0.605635360008745 0.457652638792641 2.04078133853632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0755350814517398 0.0949994459407588 0.0159523301015168 0.0482546287920508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467413817031793 0.451752165683026 0.170142896947807 1.02870197397476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0768863492393155 0.0485329498246012 0.0183072285712012 0.0120706289244291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467416001339531 0.451748261657389 0.17013923520096 1.02868566341392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0769179112746652 0.0485126276419266 0.0183174417238552 0.012061088089241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467422656162585 0.451747275949842 0.170126610161123 1.02867379099136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0769103554833123 0.0485093498020129 0.0183174196727928 0.0120509379015391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.468271743645348 0.452680434728523 0.169869684814983 1.03188999886174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0769219381239721 0.0485102487720345 0.0183234356155866 0.0120359947996584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.468539480509343 0.452970865204335 0.169554016417183 1.03289603669447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0771999513336227 0.0484447125345955 0.0184071384451844 0.012040677172348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467827883523974 0.452213728842003 0.168819075666314 1.02985744735993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0775882473597216 0.0484553373367528 0.0185173003085055 0.0121150584531835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467926638847925 0.452216652906788 0.170064054199925 1.03042558839439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0770220622103723 0.0485134502942989 0.0183403524756678 0.012077946472515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.468507655309366 0.452842188108057 0.169664999915576 1.03244452361827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0770493841018109 0.0484917055977926 0.0183441925290845 0.0120863896707023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.470619077181741 0.454980675713741 0.169844719801199 1.04106250277074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0771269491250065 0.048546452505266 0.0183651919506211 0.0121628296693809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.470234823403123 0.455812710624662 0.162847840856429 1.03913228526263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0784861173274874 0.0501825728339649 0.0188302927897715 0.0134345426360763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.4682479224894 0.455878104944914 0.151286969705176 1.03030113954392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0808804709225815 0.0526639604827986 0.0196522992334842 0.0152306217712645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.490137959316663 0.495836524152317 0.357711757867316 1.37901955286137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0350154203893507 0.040808864911944 0.00390676615334163 0.00913889859481374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.490099512102509 0.495835220276576 0.357688880433232 1.37898938553722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0349774856769989 0.0408501934943601 0.00390227282020757 0.00914653482643801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.490064579112419 0.495830859387009 0.357647350632245 1.37894165993689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0349417465535272 0.0408907488219955 0.00389720548570375 0.00915611831184165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.489497778672149 0.49534043172047 0.357844133198225 1.37715029989844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0351122085903931 0.0409776758197708 0.00395441212678551 0.00917453467809464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.491811335548744 0.498036484402205 0.36008228454991 1.39039387749969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0350709259454634 0.0417837296489808 0.00398799203673765 0.00948564183987726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.491726319255947 0.498112091427876 0.358118643652641 1.389295365104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0350388007846381 0.0424707482414707 0.00397401848047957 0.00972654060846485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.490151798108331 0.495895178581577 0.35749565088032 1.37910573583114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352492230547137 0.0408610819744046 0.00396412590334871 0.00915585047560902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.49016009651525 0.495937925179629 0.357143899348133 1.3790369479701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352656896305211 0.0409108121495992 0.00395611419385225 0.00918425513151468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.490119872728304 0.495969283973224 0.35604749905529 1.37843104165469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0351961724906161 0.0411080171032767 0.00389997089873036 0.00927445820645786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.486786355958779 0.492029506637039 0.340638670051637 1.35145155599867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0361448723517001 0.0424344544780957 0.00397015178546804 0.00991900819224478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.472220795329089 0.474850307162267 0.307282872237446 1.25770929653632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0379223986509387 0.043817934596048 0.00412902613670191 0.0106177975242733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652978956761379 0.660235704662445 0.396852355102791 2.16257233956529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0258610570261796 0.0385788071922393 0.0025687003213251 0.0068887353186073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652979671389984 0.660230422762529 0.396832482277752 2.16254210005673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0258626287716767 0.038592218227472 0.00256509764174325 0.00689047112419243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652975592309827 0.660219221134828 0.39679966061335 2.16247742305958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0258736918185844 0.0386066267303866 0.00256232675193146 0.00689303392934846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652724646197978 0.65993211431501 0.396977656191612 2.16121920030245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0259149907562023 0.0386915108507199 0.00255793067888948 0.00690410717088628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.653083015863451 0.660033992525909 0.395698330392582 2.16139873835252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0264785045684292 0.038869459043838 0.00258162378881432 0.0069570660758698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652684108886587 0.659630479902619 0.394518856405601 2.15917037233365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0268687694977959 0.0390993701198671 0.0025713783025884 0.0070677102787686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652986097658488 0.660261848992799 0.396281599019543 2.16234346791281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0257701271550005 0.0387654216493656 0.00254944057184098 0.0069161578558709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652836375116391 0.660196232173649 0.396119350328427 2.16200504608189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.025691920054358 0.0387585722269618 0.00253223782092506 0.00691583983182952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652531079688969 0.659998856465657 0.395429289950813 2.16085644391264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0256426990871001 0.038722835803474 0.00250695533236731 0.0069417424010709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.650758134926625 0.658834297957373 0.390317406853712 2.1546891330698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0269754970056901 0.0397875531789739 0.00277765440980718 0.00747488436406422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.641673545129323 0.65073527632499 0.37447220721262 2.10323174038643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0300573529060957 0.0417721938107169 0.00292650267493572 0.00847373692398574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.494993188211403 0.492710120035271 0.213169373507989 1.22053574578735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0441100465675728 0.0358328104716951 0.00586233088028707 0.00628555438672284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.495172774978552 0.492920824409821 0.212959751792889 1.22111325179771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0440531247078189 0.0358488090793603 0.00585540975817971 0.00628161397242581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.49517502996443 0.492916835724626 0.212965889223797 1.22109583952721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0440593342930404 0.0358391770249044 0.00585768935036092 0.00627866255735737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.495175463503034 0.49290706250112 0.212947535424239 1.22104563149965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0440722413171746 0.0358441410959343 0.00586161865712327 0.00627747179005723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.495356273460199 0.493031267684064 0.212472191702699 1.22133350561021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442175669922776 0.0358590504016795 0.00588689179714071 0.00630159426817806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.495950847322112 0.49365761699893 0.211126750492465 1.22299837258434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0446562495748098 0.0360129752484509 0.00594378874660253 0.00637573963889449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492956780147524 0.490676937773486 0.211008362412536 1.21022568872704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044177609005326 0.0358866138308038 0.00586893252893747 0.00629894232068666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.493491406229819 0.491257019922031 0.210806611754962 1.2124717020203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442775646069323 0.0359569932417567 0.00588621088781511 0.00632586714314483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492326613113048 0.490139613305309 0.21051698721213 1.20797429066458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0443627531691009 0.0360902421979759 0.00590146830995127 0.00637486833532646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.491481650198245 0.489940771085602 0.204935117569006 1.20416254024355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0460111553112018 0.0375687298816407 0.00618913645830667 0.00699731679289596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.493187053137202 0.493091590769314 0.193128764293169 1.20794572710403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0489560292404081 0.0404788367518551 0.0067094100139184 0.0082112678745133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.679664764615406 0.705099984998111 0.474034908260708 2.56250463794793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0658718295825618 0.105074318337419 0.0145759945236843 0.0548319616375223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.67966435427944 0.705094826658374 0.474050423031926 2.56250018034498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0658798481173067 0.105040761432968 0.0145785838974047 0.0548340592151297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.679659861225367 0.705083387457436 0.474046351567914 2.5624539779988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0658919195583802 0.105062847911174 0.0145818080203977 0.0548429368412377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.679621127342169 0.705043021880542 0.473981348581977 2.56223604293371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0659249643404162 0.105056028538692 0.0145908107715392 0.0548621389964488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.680302514575157 0.705770762635181 0.473613278917061 2.56628245198246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.065881686292435 0.105195676232397 0.0145837359607457 0.0550733375926258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.680568042749258 0.706143845702344 0.474565125707715 2.56962362310758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0662831773975485 0.105609483785676 0.0146476009899915 0.0555230066073617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.679610968723979 0.7051016825513 0.473896292668426 2.56249645694023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.065882701583653 0.105050973806452 0.0145778044817804 0.0548593741629684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.679467423836485 0.705030727585463 0.473529709010449 2.56199109528958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0659361440179674 0.105093388173148 0.0145821451250023 0.0549253980069421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.680037104921155 0.70580071896098 0.472823141418523 2.56611908258759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0660800823480544 0.10526573118314 0.0146053690884754 0.0551717455949956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.671217604245419 0.698269938661663 0.451170027768133 2.51250735047282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.067323710613682 0.107514260932862 0.0148325954658821 0.0581695642315819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.665824180407126 0.695763660323599 0.427412866624121 2.48645373859747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0696935809825364 0.110705855261966 0.0155300909901762 0.0628798665018672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0646870289209115 0.00258830354470369 0.010228052858535 3.38556246836296E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0679180435981 0.00234852200293 0.0116978364501697 2.54894183926669E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0646762932988266 0.00259032302304569 0.0102224064543626 3.40547009340024E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0678976259442522 0.00240392299440347 0.0116911792337537 2.82918601268067E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0646677732380026 0.00259735240632549 0.010217316484455 3.43589293252912E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0678784196207777 0.00243133457346135 0.0116849158564125 2.83227613458746E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0646570452195296 0.00262985104482286 0.0102087087497042 3.53135666516993E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0678440750285457 0.00249228655286153 0.0116735237239647 2.90100577855559E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0646757653234714 0.00311295423480638 0.010178958425447 4.53360440908995E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0676738636366605 0.0029827864635502 0.0116134733540756 4.55134176440881E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0649238014440787 0.00385868837338952 0.0101982644146557 6.3516320730204E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0676940849059491 0.00354244877479108 0.0115945659238429 5.80744531425405E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0646359165585893 0.00261286684489438 0.0102204280967156 3.43064159030909E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0678444237526544 0.00248898670956698 0.0116854861335164 2.98502812713149E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0647367353683895 0.00279604684924468 0.0102378822488222 3.71100576946097E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0679182515666799 0.00271724021001847 0.011701239404139 3.36931279687006E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0648816810463553 0.00341619350601057 0.0102681122368 4.82583995814824E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.06793139633465 0.0033742478024576 0.0117137939967564 4.78932475789006E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0668700193268028 0.00690474078034339 0.0106502288494997 0.000168599819836458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0686998775024696 0.00660800201302236 0.0118847694338406 0.000170209266230075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0727231852596033 0.0115265417696984 0.0118065249981628 0.000500441898086252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0707669719671716 0.00999321478101068 0.0123300465653078 0.000352018042530836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0300429197688756 0.014228155882656 0.0024343090790237 0.000661970955898198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324425258649436 0.0145036397532872 0.00287034000705472 0.000716029040169355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0300414680097621 0.0142171078880636 0.00243205719614402 0.000661290132795748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324445234813989 0.0144893706335653 0.00286854829483339 0.000715124142020258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0300427005076414 0.014204295731818 0.00243004954822629 0.000660472487460458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324513568709124 0.0144747305341298 0.00286736871561185 0.000714245556735965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0300421651931164 0.0141744112490317 0.00242561881322108 0.000658370809047368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324633253559241 0.0144457166767197 0.00286518587808161 0.000712508445655423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0303244294458467 0.0141317700931463 0.00243160603934303 0.000652090556398469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325424192850448 0.0143419462887304 0.00286286975784035 0.000707388790960108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0318188244247291 0.0145363709626374 0.00259045561110508 0.000673261759521996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0326916805420843 0.01430343511778 0.00287020821861132 0.000706577968969906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0299650157710732 0.014173707401287 0.00241464652560217 0.00065486371145967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.032395955869157 0.0144277574660569 0.00285754430321297 0.000708229628831286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0299417826753063 0.0140827104575161 0.00239464032013169 0.000643702649308428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0323555722159809 0.0143464286024906 0.00284507933987382 0.000700222012560291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0307639367764685 0.014164147764336 0.00243016678270413 0.000632312400700542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0322838776542048 0.0141868211362586 0.00282306154583765 0.000684777958567624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0467461124567087 0.0200909538470428 0.00855418386919928 0.00181515049979018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.038954179773569 0.0333131708810145 0.00552477676778651 0.0170112605800765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0736923497676593 0.03103403294826 0.0183048535146185 0.00410956351934477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0474458792026609 0.051282485532831 0.00717592934264618 0.0287742408748413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585411173375031 0.607370172726082 0.423985355015283 1.97962892265244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0550007958976805 0.0897475456603044 0.00930309756790124 0.0419193085141899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585430310519928 0.607382980665518 0.424018502167722 1.97970711902368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.054992818573298 0.0897634403102658 0.00930561807083923 0.0419035819877607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585181571305774 0.607128125410559 0.424237000864221 1.97868438015522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0549809514923372 0.0897425637848117 0.00930691756455937 0.041888659893341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585141631924846 0.607007010978958 0.42395006112011 1.97804264045552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0549712205149225 0.0896900897296074 0.00931312877117864 0.0418596819774433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.582374573230763 0.604203568864475 0.421294492471758 1.96402372227835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0551132436891236 0.0921608130829916 0.00934940028255105 0.0463931430529267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.57830830628941 0.600532395661088 0.415730467627286 1.94329607537207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0562123838242374 0.0945834557652607 0.00961981801957069 0.0492736164960411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585216845349969 0.607049235138522 0.424295437827634 1.97837157785826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0549957673138071 0.0897848498186733 0.0092897235823113 0.0419295967325852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585205091138417 0.606821291987982 0.424188715497184 1.97775590295371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0554114826268737 0.0899235545269251 0.00937645155515729 0.0420318158523764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.586732966951705 0.607616510538382 0.423330965706219 1.98244079759212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0550032689841779 0.0901160141668367 0.00918661917632791 0.0422397323181095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.581598250611166 0.599996285207518 0.395305370486223 1.92774975366461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.071870160714059 0.0978265940997159 0.0218997119622057 0.0531115170227113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.579290054144186 0.597036408632656 0.362569242038188 1.88357723454609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0857394727756569 0.121346907654473 0.027664700773293 0.0980073113030249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.153860146174842 0.00530338439718938 0.073515465014958 0.000112910763848854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.176959367784077 0.00776265437603327 0.0982917329948395 0.000481585888510789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.153914529064623 0.00532549379671031 0.0735468259191021 0.000113400027728581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.176972327748252 0.00776608060747491 0.098302487732593 0.00047942390125621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154225612121115 0.00535108388593112 0.0735789876307072 0.0001138218633147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177186594464981 0.00770865186605065 0.0982556335609941 0.000474564621121016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154407335228405 0.00540637712902924 0.0737487656696102 0.000115157326660502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177204304711086 0.00771615860725203 0.098273713967502 0.000470174465837072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.159847707490425 0.0059572829253287 0.08390010948654 0.000138805290871803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177330401027957 0.0104579824957842 0.0983830571054437 0.00196755375088903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.166791321600982 0.00654304823040664 0.104525759447911 0.000177975269475425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177824207459815 0.0102248436104535 0.098634580913916 0.00184273325200241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154249482521418 0.00532601232830435 0.0738311514219634 0.000112717671022786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177242918989185 0.00771268121214909 0.0984759776828996 0.000473906407813483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154752024088335 0.00544373114594485 0.0744221280738239 0.000115331468822118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177267929624732 0.00789518076191353 0.0985046229865978 0.000480005150220209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.156538823799212 0.00588974224197069 0.0762171875489931 0.000126912627974462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177411492529001 0.0095723011228333 0.098537427339932 0.0012937204198945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.172637929044991 0.00791012948202288 0.0988775844313283 0.000218509384079603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.184049191688731 0.0219029972023153 0.107802546140171 0.00760316431867969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.199374365781064 0.0126405929004728 0.146115523146701 0.000563805833708587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.189289488924588 0.0300463763298184 0.112450550562972 0.00937014638681127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618354066071111 0.628049585368224 0.418034459280022 2.09966221400247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0900178986586438 0.11165491024265 0.0238268209073106 0.0629176221264323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618339901059583 0.628068583046189 0.418049991896895 2.09969387264123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0900963353361077 0.111646676768449 0.0238606715957613 0.0629169467772404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618316762206467 0.628076034372408 0.41801102172359 2.09963701239604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0901304964727836 0.111555741874897 0.0238790193546237 0.0628599612626737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.617465616903782 0.627235173486817 0.417737467196034 2.09491914546591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0901768936471941 0.111500925405183 0.0239223436850227 0.0628345530051308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.614905711511367 0.624980324845247 0.411206043518252 2.07530265600086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0931755979416566 0.111551248847176 0.0300927446146719 0.0631537651604825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.615139628040498 0.624985477119506 0.4007660175861 2.0646593833275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.096766259090931 0.114616740695446 0.0325391580798841 0.0677472403177447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.617180429483498 0.626709500047746 0.416513492541578 2.09154440112912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0900273849929036 0.111525837671622 0.0238318471398262 0.0628269846951609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.61583328044544 0.625370429960994 0.412192851828689 2.08128471532719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0935389893951452 0.111514306886872 0.0300659935438443 0.0629026256952517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.61274849443967 0.622270731861624 0.405326870760389 2.06060650433092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0936399569180909 0.111465029276202 0.030060085172593 0.0632188324147546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.610183633814247 0.621288104712407 0.382176490933375 2.04080238624546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.104282015467164 0.125487630342728 0.0377296359950557 0.0843239393227012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.611385310704883 0.617207597361582 0.348404574861367 1.99306283642729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.124305118052371 0.130400807053375 0.057733397788699 0.0956367313152394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.439522198471353 0.413952404620005 0.152880444743688 0.880436519567872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0936464258891896 0.0537639117860578 0.0241584682539784 0.0143719199749198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.439576165761485 0.414018153638951 0.1529029134167 0.880653252606084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0936598019204419 0.0537465082038543 0.0241662977641886 0.0143649505643723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.439643817053884 0.414092598218544 0.1528958508759 0.880890968223521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0936776397637089 0.0537160200063537 0.0241752828378403 0.0143600811492665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.439796862822353 0.414254376018416 0.15281408228293 0.881384639349284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0937131294939588 0.0536879715964602 0.0241964226137131 0.0143572902492125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.441816920698481 0.415744005245041 0.151184739470668 0.885465991964258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0939350090676356 0.0545382426764558 0.0242977184226756 0.0149029385186712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.444901473654085 0.417399806930898 0.150912621137901 0.889529483035414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0947531561534082 0.0556331356426394 0.0246337029067737 0.0159394340231482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.439745490680529 0.41405616201582 0.152832639603156 0.880882140476381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0937034668697993 0.0537258902444006 0.0241847751258336 0.014365037978812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.440268310221708 0.414375780011259 0.152511904862369 0.881848549717111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0937875462249507 0.0536595280562683 0.0242213693674198 0.0143770709006922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.440159454463614 0.413671847537469 0.149952695139739 0.876553648262831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.094016138652834 0.055717520253611 0.0243151171767992 0.0172782249368208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.445951571702601 0.415300855421869 0.151613302975162 0.871619278101265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.10208804550617 0.0665334364952737 0.034693201481166 0.0296392086802381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.454302122236813 0.421504864842075 0.137946726102251 0.879590029635765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.115829518301267 0.0738549644744315 0.0438099710493303 0.0378124608371806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.489546020461546 0.497048223139239 0.326071892795393 1.3566279554352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0456742578796231 0.0536918213430829 0.00665148012895367 0.0145773271775305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.489683805245037 0.497141441152827 0.325975538001543 1.35694820322978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.045666316596403 0.0537088055870937 0.00664584465094024 0.0145883477696886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.493267162935529 0.500672782136646 0.329760688116167 1.37409293356603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0456602206874064 0.0537050678825535 0.00664124175732829 0.0145966336685286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.494679316490517 0.501976911916242 0.330470324028233 1.37991285139138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0479985199169668 0.0537508526652847 0.00950944545800646 0.0146189203540381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.493084907132912 0.499553338958172 0.326561277938066 1.36804985021548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.050183730163523 0.0543888693081414 0.0113846004311774 0.014868388479827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.490824483733062 0.497606157173787 0.321646458186536 1.35743034582462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0501979659081316 0.055002300261361 0.0113713604145484 0.0152166994469071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.489716875641051 0.497399255249594 0.325600606449122 1.3574980842254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0456198449209452 0.0537529945214556 0.00664674019853972 0.0145931618581373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.48878652723615 0.496593456370779 0.322675732356123 1.35173682539874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.048007537977256 0.0537814801007425 0.00948068426215539 0.0146154224715501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.484887832867078 0.493123608480128 0.318530073151325 1.33522115924318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0455565698016878 0.0573521432906261 0.00665586023793518 0.0193959617938178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.476958687874629 0.485962590865211 0.289207621325733 1.28273609261186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0508853548058392 0.0684678321405673 0.00985284837683385 0.03590283800257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.478832681110802 0.486504124971374 0.265021455623018 1.26720154604619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0604522829742396 0.0720561420694209 0.0153576881664548 0.0374085072900058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.645590157787499 0.657464255556506 0.363982573282009 2.12171731913841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262201412076069 0.0478349946485328 0.00181592824959195 0.0100817577617417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.645608306271105 0.657460467708599 0.363995925588999 2.12170289098984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262516993552836 0.0477509021969222 0.00182024173369381 0.0100718380884055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.645586793083199 0.657425682516352 0.363920408414567 2.12148131127931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262865712045491 0.0477385903893339 0.00182488304778807 0.0100707948843806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.645465440872199 0.657292562363216 0.363593419996617 2.12064288218441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0263620783963265 0.0477348716429718 0.00183484012230676 0.010069140052638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.643405542328798 0.655223030711303 0.360775354173203 2.10886528906702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0266363627661166 0.0477749288362296 0.00185900329310387 0.0101127677952086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.64233479618762 0.654427930185105 0.356739823462084 2.10344219377626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0271632407500752 0.0479755490574165 0.00191395997659371 0.0102635451841633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.645492355535835 0.657360917220517 0.363711112978315 2.12118027114097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0261963687065555 0.0477737054517835 0.00181395353902413 0.0100949754986698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.645212540405416 0.65708916006296 0.363044187106585 2.11964858008523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0263012128284676 0.0478583416507024 0.00182320529130025 0.010134655582197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.64415570519951 0.65606417043629 0.360601856286193 2.11373538167177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0264162813612647 0.0480018115272961 0.00183331647133521 0.0102430752130869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.62698755699922 0.641333873752674 0.337649361619699 2.02623146756938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0336063144701834 0.0516275730565243 0.00624289786102981 0.0139407644593617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.615675738546365 0.633715562587525 0.310374090987901 1.96862257604474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0410059582270546 0.0642822933573348 0.00933679118304967 0.0286490021538195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451407026417638 0.446054310224687 0.20331105985561 1.03421421837289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0538422978004969 0.0408944157698964 0.00811608051084103 0.0075031969309904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451367968490043 0.446046959853434 0.203304443558874 1.03416626571131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0538229995045167 0.0408882073089026 0.00811263426743387 0.00750249726543575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451348067699392 0.446031064219192 0.203252989852934 1.03409704208315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.05381628934405 0.0408877673463204 0.00811216034157846 0.00750359365711097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451446992245714 0.446028361556409 0.20294749755777 1.03401215145483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.053794102670757 0.0408886794589608 0.00810876665214559 0.00750792837682446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451752885456346 0.444796773048883 0.198085139663593 1.0253196184284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0561274448371475 0.041232703016681 0.00927855008096219 0.00760152353722707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453336908241904 0.44567322894509 0.195298826778789 1.02677577874806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0561269259579129 0.0418233948896055 0.00927971740709257 0.00783492674073835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451372260023448 0.445834993910079 0.202751272938898 1.03309360943714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0539597991571931 0.041004495125067 0.00814480626952938 0.00751949505274207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.450301378009429 0.444443063835962 0.199031732116897 1.02452852598057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0537174263484369 0.0408927693858295 0.00807028913628409 0.00750762328661222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.457241984741587 0.450351255814809 0.201443976007388 1.0497529272409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0574203015502805 0.041329186143862 0.0107873688727731 0.00762687634854172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.472903328066329 0.462020125945156 0.193653341482654 1.08634328906677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0699869770823071 0.0462927660118959 0.0220808371722703 0.0113198743700876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.478870641478395 0.467727534861129 0.176553998877764 1.09391379599861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0802240881693824 0.0570469064052233 0.0306139273595578 0.0228409078327909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.63248058817251 0.653543840234635 0.415465490018188 2.22932090819086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0768309024060637 0.114664679091981 0.0187736584774925 0.0648882546072901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.634746236118069 0.655753248094085 0.414965725725514 2.2404268076023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0767138581819143 0.114682397625798 0.0187376873622602 0.0649039193108184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.634732716488772 0.655715527250674 0.414929469645543 2.24023694188815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0767054857548004 0.114695760637317 0.0187314848532282 0.0649221570158483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.634644572109149 0.655597881031552 0.414720405346793 2.2395988859175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.076674719951311 0.114729260005061 0.0187280719397484 0.0649736856797842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.634612550825429 0.655419868621194 0.412532925062747 2.23793498787118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0765319638249246 0.114808352999868 0.018655027921465 0.0652450507257192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.632683480183938 0.653702809164907 0.407184357134237 2.22739081526814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0785469273497447 0.116520009246338 0.0196342117049072 0.0683165122430077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.634563339290118 0.655601973340104 0.414291615793937 2.23908327528099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0767953269471228 0.114715643388304 0.0187485450690626 0.0649329520657843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.630993161252064 0.652207503082102 0.412184300881272 2.22018459905057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0768251168729712 0.114693343563822 0.0187341231920627 0.0650245166379149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.62935187306479 0.651610241863783 0.408298736751927 2.21447612976778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.076847145807203 0.118426435695466 0.0187142416495185 0.0730983005892809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.62671004051526 0.646590169284378 0.381558551611383 2.16931230935876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0903052055218437 0.126210051490808 0.033302002762696 0.086617043257093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.621753621231904 0.642297252368552 0.351296790124072 2.12461057206602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0931877506364156 0.143634808012385 0.0310370644423522 0.123490581663774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0752568012497479 0.0051150230960522 0.0130017778574882 0.000154042612229615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0792190883421245 0.00960480685380418 0.0151447750478405 0.000930661321987305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0751392405891153 0.00517544059776199 0.0129749065524022 0.000160022113480978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0791519921739761 0.00963448274129883 0.015127821247842 0.000932870055256622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0751724204520587 0.00520456381468894 0.0129709491439068 0.000163384765784626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0792216650728144 0.00966809690187429 0.0151368170438871 0.000935593137748744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.075272331053312 0.0053007592724238 0.0129561356062321 0.000175060928092594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0792218309703104 0.00973963809136363 0.0151280695625423 0.000942093115394881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0784119933493262 0.0061931801910684 0.0142688822515178 0.00028267764189258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0803369600862488 0.0103661474191092 0.0155557648534341 0.00104190178526998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0804127144820649 0.00700506380626606 0.0155846544826265 0.000317523306148788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0799909640877243 0.010734844804548 0.015323891363399 0.00106710990429366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0760852206469236 0.00530284829052678 0.0131413466796343 0.000170316140792204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0802401182594555 0.0099269974154775 0.0155932612888992 0.00100010619062469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0784037119875833 0.00565903720361552 0.015171238399096 0.000211617873764131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0792262284762918 0.0102793095905126 0.0151517233411059 0.00115408348062815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0798196370696372 0.0061409986187809 0.0162262702541581 0.000259904936292558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0793719991826211 0.0103087408671084 0.0151779743626271 0.00114189500009701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0903422549216085 0.00987254754167153 0.0201275548528987 0.00054611853985227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0862653102872686 0.0148645150372939 0.0202265939887505 0.00206479004841946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.113926656154537 0.0154399612700736 0.0317284207551337 0.00116566668032861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0968561223886344 0.0222446687553508 0.0277481602481624 0.00419524482498379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0118468151873791 0.0061064361144237 0.000563071428389333 0.000152227218369536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117279860413487 0.00621226816185967 0.000551996803906133 0.000157336452938618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0118401207707377 0.00610526054117803 0.00056376311774692 0.000153526777361843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011723053799036 0.00621139061702407 0.000552851430783814 0.000158649420045329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0118306450717064 0.00614916760113612 0.000566966328664822 0.000158459531538152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117187886596725 0.00625240626907875 0.000556525527928026 0.000163548508163953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0118379323437779 0.00662991686870925 0.00058265559258771 0.000185730181601166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117474214279033 0.00671562732511764 0.000574090096990226 0.000190650311287263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0148956491032212 0.0119960654928504 0.000902575603263639 0.000508951355821035 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0149455607261191 0.0120405820123579 0.000910772804013235 0.000515688469948438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0207405511238827 0.018666969832561 0.00157670915166552 0.00109619348892381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0208935284953857 0.0186885947253644 0.00161860140526827 0.00110723912019126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0118404332295953 0.00636348498619348 0.000576515245152343 0.000171427867944967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117410467436095 0.00645862829911172 0.000567179499198159 0.00017645847382897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0122452154050537 0.00786009100062586 0.000637349420728928 0.000248318179564279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0122021273632929 0.00792650747646716 0.000633028819583432 0.000253410552045333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0155228467313176 0.0126189188424563 0.000971480353148335 0.000547873681683608 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0156014650555225 0.0126597775027195 0.00098456447972627 0.000555080068459862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.036986845262447 0.0347673231328144 0.00428612593597407 0.00322383194042584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0372591157818566 0.0345991982966556 0.00453784873398076 0.0032379108065643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0600818599110434 0.0576871141843116 0.0101322967686117 0.00792307669950937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0600085103935058 0.0565590142532521 0.0109897547093889 0.00778169491991502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.884001832573017 0.881989204157092 0.955169028101747 4.04572846505313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00820736440354675 0.0101265972311856 0.000274177784998971 7.2274326461562E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.884754478224756 0.882722278877021 0.955553399121803 4.05130132349346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00821379108323754 0.0101500059580351 0.000274941989679097 7.31366280495273E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.884894372025708 0.882839163217615 0.955299158181389 4.05195671597276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00823541749740253 0.0101850343377505 0.000277499103883158 7.55442095659995E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.88455915739196 0.882444450105525 0.955405646581093 4.04934546252645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00835968700937573 0.0103013684964792 0.00028879227371888 8.50999556951893E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.88439821098984 0.882313143937245 0.953419930289934 4.04422577592242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106270909314399 0.0122557919233476 0.00044585299711817 0.000195042923112876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.885143308092037 0.883058447746258 0.95002040732319 4.04214559171833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146831541091166 0.0161425736454387 0.000765698966054693 0.000441728074992803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.883521961283224 0.881399160916209 0.956548073620677 4.04304536647377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00831298695296427 0.0102411472530183 0.000285059046428934 8.2526758227482E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.883852432267248 0.881745545564468 0.956093908954765 4.04450898785852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0087958031336849 0.0108023368632196 0.000323088184298858 0.00011344380915546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.883839165021081 0.881846025376746 0.954499943799792 4.04026057172868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011317904772706 0.0132446024576878 0.000498522363318388 0.00024454556948691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.887034987632111 0.885114863347845 0.934882790259758 4.02872941562208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0266281522091068 0.0293577920500877 0.0021685581358301 0.00190554034368604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.885745383703662 0.884631028068477 0.903811591392748 3.98477075404281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0428659264302949 0.0469338743056276 0.00502136704076782 0.00557385854389729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0118453153813517 0.000716501928930901 0.000555628986586503 2.16335520680664E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118886588402173 0.000794502981421988 0.000555815360050084 2.60142862502788E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0118569861500563 0.00112522670988101 0.000557515086867893 4.8762188060802E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011899007976355 0.00115425699715052 0.00055773973294725 5.2494531869842E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0119065831411743 0.00195085477888319 0.000563809283208656 1.26729357991568E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0119489714206073 0.00196776565999121 0.000564348273998934 1.31544446606635E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0121834729294726 0.0037404707947169 0.000592393596613149 4.16307366075509E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012230477239342 0.00375186086271785 0.000594357564036786 4.23712111371784E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0157648907555094 0.0110535956839368 0.000935262753466002 0.000330608044308481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0158532439253359 0.0110657808024735 0.000954897876364022 0.00033128243895475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0219643951560097 0.0183039127494999 0.00163261691665238 0.000883977012068547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0219561091384873 0.0183548245942277 0.00167916335848646 0.000882901476507421 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0119965816543386 0.00321316153082447 0.000574824931693556 3.126645324886E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012043211191359 0.00322756371947473 0.000576284158391008 3.19597059663155E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.012846862527179 0.00634251279957158 0.000651729552119145 0.000112653510334523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0129100881197076 0.00635951547732944 0.000657475271995772 0.000113812932171625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0162869976262566 0.0126467100264686 0.000973665362323604 0.000427603383423618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0163794755125718 0.0126619116526356 0.000997714274281556 0.000428161727501428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0389823787182361 0.0372670731565744 0.00425869663324421 0.00357800846966496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0377682172495826 0.0376810206848083 0.00435215449533851 0.00356092155419803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0676183847801237 0.0603361608958006 0.0110090538413007 0.0093985229597032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.060798428730764 0.0619622586523121 0.0104462029270817 0.00929241707825017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.968874992695324 0.967643936328751 1.1875382519351 4.90014051959977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118245538234327 0.0114053413899736 0.000577996082875691 5.16352955096719E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.968387088007765 0.967136770716343 1.18806764400368 4.89676079062826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118298943573938 0.0114114067248498 0.000579435686238437 5.26389890566416E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.969097838890348 0.967815787799656 1.18843553500185 4.90245711897938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118428553174705 0.0114390921445401 0.000583221795841198 5.57798032535559E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.970337315686566 0.969007644951442 1.1890242867254 4.91221870068625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011914772104206 0.0115718394282036 0.000598890828863872 6.82530962811491E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.970743358007383 0.969209955794538 1.18808576503486 4.90872639831205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142668043722979 0.0140129781461522 0.000841726703780737 0.00021102433158883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.973095707349543 0.971284804693733 1.186430301835 4.9156596351905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.019055987765395 0.018687858588237 0.00135774869746605 0.000534806194550971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.968067735241312 0.966778452720461 1.1883722875318 4.89436089810886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0119006487443325 0.0114443542427464 0.000592421189577274 6.34023906823793E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.969712198350322 0.96848198400691 1.19088449352184 4.90890481045434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0122881077895419 0.0119475775870951 0.000641039406599429 9.9493277691624E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.969383046056258 0.968354233194815 1.1883622066678 4.90038351517055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146619600700463 0.0146194577428006 0.000877430087930468 0.000254864107776371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.97433772416113 0.974097855658076 1.17094155084592 4.90110221144646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0318704386075702 0.0328504886302418 0.00323097297667801 0.0023037262982031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.974892411443648 0.975561577205561 1.13117350846435 4.85143765316719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0508156486885527 0.0528568338303568 0.00725339219796027 0.00688897623071155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.491627127211198 0.488385719785905 0.425432752982415 1.36608596743204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0108541544476565 0.0102827576837141 0.000483381774913407 2.45771538798285E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492359268750481 0.489142724937884 0.42598617489736 1.3696087643067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0108686111049597 0.010305316501384 0.000484950565799874 2.54695689486206E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492844131074421 0.489647212753674 0.426260763089285 1.37183969798822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.010886420907829 0.0103334385937682 0.000487840701908698 2.83518082546184E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492574276601106 0.489449229558607 0.425244757277268 1.36986590132389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0109819861551932 0.0104488078667408 0.000501180688831394 4.02754263583184E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.494498952348923 0.491751769142441 0.425468762796255 1.37611869614684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013289867267102 0.0131688892877745 0.000708224679250184 0.000177454766144068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.499591305436521 0.496974560294761 0.430070210427561 1.39687499192681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0176376670110634 0.0181475405853234 0.00113358970889927 0.000493019627302007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.49246847658627 0.489136820273875 0.425469586314252 1.3690433842888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0109274377590426 0.0103576153162044 0.000493646940550375 3.56106374910377E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492199873418816 0.48899097485095 0.424060547531927 1.36631846607699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113382382884065 0.0108997827429191 0.000534673912362339 6.97808998326072E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492380548092482 0.489658140312408 0.423030124204057 1.36484787936992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135509861813211 0.0138067592440012 0.00072787317780335 0.000218596122614863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.500919944707353 0.498583475645166 0.417822707513056 1.37988819872346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0290745922986718 0.0320280931898005 0.00262681352813649 0.00219355887233552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.508093700005834 0.505190057146152 0.405982321659791 1.3804994491301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0465092202223755 0.0514896736125127 0.00588313506048952 0.00654403460610059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.537350011629305 0.535182207195893 0.635506573112467 1.76570816182886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00953459177023732 0.00685730005972613 0.000369567890041384 1.10028046646287E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.537742595096459 0.535578533249662 0.636007290126901 1.76791321891661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00954899453457134 0.0068694213782074 0.000371599696999588 1.22032184313056E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.537573510632425 0.535447390022169 0.635640727887674 1.76693430226525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0095629724211232 0.00691964724274175 0.000375803129555759 1.5808677728163E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.537033049763473 0.535191351174575 0.634599943937467 1.76409722726511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00966862842117089 0.00735588363631459 0.000393791613907418 3.03526947393203E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.537898669971536 0.536970842162534 0.635245292684125 1.76528693790264 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0129753977647676 0.0121315563927204 0.000675005217944458 0.000211258162181714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.537677469501904 0.536662499069808 0.629531050587654 1.74983580437966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0184925927539531 0.0184040723660948 0.00123440905785373 0.000625062734718373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.536504419995693 0.534497898146451 0.63470332408396 1.7615036660711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00954185235761619 0.0071228530316077 0.000381959961036932 2.48146613027538E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.538448554118227 0.536888792867367 0.635727196967843 1.77041433530733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101660418583885 0.00856023251396459 0.000443256480438906 6.90011575443314E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.540950659266123 0.539566737164147 0.634916908994567 1.77466439761541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0136829000142494 0.0132356034728205 0.000740775824661449 0.000272667387162862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.546666094623673 0.542570392581129 0.621420382819872 1.74544978957703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0340138681765032 0.0355629417003485 0.00359756906771696 0.00282894395650163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.555675553218124 0.547601385931849 0.606427880410447 1.72308995160657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0550654802491103 0.0580277912097101 0.00862933751854391 0.00813972226148686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.951590549215718 0.948036931421173 0.531428204056171 4.10714639552417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00725968800499479 0.0100932995514618 0.000221596429847047 8.68626400405392E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.951364901636143 0.947813061036327 0.531349256589599 4.10535368985332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00726354040950974 0.0100965937495662 0.000222955342987301 9.59675891836654E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.95187099402614 0.948314176626031 0.530787492123301 4.10864738545317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00727345575171942 0.0100963495367869 0.000226461624549339 1.24351578887359E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.951370255802754 0.947778634897286 0.530652105052585 4.10449524753883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00755821795942518 0.0101583138357506 0.000247739632728457 2.37712041993743E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.951948224830085 0.947788353273237 0.529779110802763 4.10246357518937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011765998804991 0.0126651050000254 0.000524688243286561 0.000152556474404356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.953344060746769 0.948483953202391 0.529600015188569 4.10426935233964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0176387010261901 0.017524471420053 0.00104734331215831 0.000447424444284587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.95192657459636 0.948346502774012 0.531242473455283 4.10951770980075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00738811699757481 0.0100675990273166 0.000236719566748549 1.91438556580933E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.95226570989466 0.948617545791383 0.530881679549349 4.1111400445613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00848075735342694 0.0104305318504908 0.000304502962393895 5.06515173627451E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.953865694428935 0.949897892952526 0.530264523724344 4.11837311301446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0125046142864961 0.0132378255917862 0.000585596415282469 0.000187057379361649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954695531251503 0.948145054975932 0.525926237170548 4.08726292302406 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0329461455283766 0.0314233336133098 0.00323920142143481 0.0020219550478357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.953083872887424 0.94129030190144 0.517684577792842 4.01305301792316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0536159273531091 0.0505703957994703 0.00797009484096075 0.00604182863722686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.587970120392545 0.586295738948282 0.496657931027474 1.85002494026907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106214949154443 0.0105586091836745 0.000469511651000797 9.04139176161087E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.586882466394703 0.585186971740681 0.496081736184328 1.84417409034449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106137390255622 0.0105601070438903 0.000469967031359147 1.02195337185618E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.587413186503315 0.585665984459741 0.496781162005041 1.84700192732805 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106090874090758 0.0105700611441138 0.00047302286298979 1.36805967934853E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.5883531595075 0.586442555693563 0.499087193899135 1.85263008541866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.010710157923013 0.0106651997233951 0.000490600133698405 2.77641514950911E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.592032240249528 0.589407511891046 0.501274818926244 1.86470418156863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0140150020379335 0.0138417197240791 0.000787523017506259 0.000188373080315295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.596265642401065 0.592660466751618 0.504238093075174 1.87660260776375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0196279281189115 0.0194060501701445 0.00138051523510885 0.000558428570267379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.586840977581385 0.584967517276415 0.495294809377026 1.84228865404347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0107096426439279 0.0105906055912647 0.000486790147727919 2.12901803032706E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.588176449045202 0.586149278457804 0.495964860585119 1.84760745807576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113191796235144 0.0111143455350092 0.000551399898424327 5.87062585649569E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.592387547334297 0.590042522308888 0.498831956983621 1.86461267279356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146476833323689 0.0143466299333918 0.000858715858587573 0.000221600248597172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.604706792501599 0.599108011699607 0.50192082125138 1.88775633732625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0349578103347898 0.0342590817245881 0.00379033545133679 0.0023880366383402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.622450094001494 0.61017122591606 0.517799635109742 1.92781934008542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0561708801753548 0.0551839093759982 0.00883082646694811 0.00712382919079044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.99446899508014 0.993009807203825 1.25586821878828 5.16725583573421 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115445619485097 0.0115844507798299 0.000550757474231673 6.96005032153032E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.994035035199352 0.992612643984472 1.25628304870846 5.16447094094246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011561540802962 0.0115773698502255 0.000552685776593127 7.06995818226309E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.993412352912496 0.992019478197443 1.25611106701749 5.15960759819435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115853641428669 0.0115872287992705 0.000556664097611489 7.37068061086038E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.993419277633265 0.992077991693874 1.25641897614142 5.16028924443307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011686158740812 0.0116833771595159 0.000572658434468161 8.57553110645976E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.995153381388391 0.994166469271082 1.25389754534142 5.17041577100464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138866408403221 0.0140203094088099 0.000794860919220395 0.000223373442926348 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.998789658585394 0.997847848144295 1.24866726601933 5.18825367565392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0183110939931521 0.0185478276064131 0.00126356902942734 0.000532533470668245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.994991713555684 0.993479582365833 1.25628075228298 5.17145801108235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0116065946326451 0.0116370626524454 0.000562674718926452 7.9102818295982E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.997671170393277 0.996135455540669 1.25726671618971 5.19270684467169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0119519886663615 0.0121331475839128 0.000605926595064438 0.000110857525021721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00025436817029 0.998670647720057 1.25634867664639 5.20809891815864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142477588487986 0.0145395002251747 0.000825509534422423 0.000248150835067837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00665024749792 1.00471971542385 1.24023622892576 5.22008637722995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308444922826204 0.0309254067138599 0.00301523878049751 0.00203703579686648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00882541629499 1.00744563055195 1.1960656886836 5.18406327728799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0491839380265726 0.0492827917264692 0.00676440203531814 0.00607248474017142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0112481776698688 0.00078698960518855 0.000522454609683027 5.32189258495536E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011305427264316 0.000843754802326462 0.000527678900862611 4.91249616409892E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0112389164703558 0.00105090772402306 0.00052267701731833 1.15992066202263E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112985732875304 0.00108390825854054 0.000528106123521374 1.14371309611249E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0112270461371487 0.00173997025683076 0.000524868079740949 5.11729950796467E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112932974844155 0.0017597886987477 0.000530888594261849 5.04230482240388E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0112746201975103 0.00329197369396061 0.000538676836787233 2.29751400597158E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113644492450156 0.0033193945084424 0.000546958638549223 2.30302111953216E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0140035392028346 0.00970167839330135 0.000795329522547768 0.0002296505754391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142080230573861 0.00972337736423503 0.000824333809151017 0.000227492675870413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0192747595739078 0.0161465979566166 0.00133272980469157 0.000653267192745368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0195656439593113 0.0161616070732017 0.00140565463211652 0.000643139993250448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0112469466604333 0.0027999907521891 0.000533689790787945 1.57791605650933E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113273285954256 0.00281923870876839 0.000541022001144746 1.57072372483397E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0116913144616505 0.00547914040808743 0.000586241821122333 6.88483872467745E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118171575112933 0.00550951696980258 0.000599021602633245 6.88025466146406E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0145953040651666 0.0108928900103988 0.000853177831022143 0.000289646400798808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0148217573057004 0.0109171163601473 0.000887058584793255 0.000287069231897797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0336864955248275 0.0324872568169518 0.00339395474533984 0.00269473858979938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0339310506096545 0.0324419234968806 0.00367635525892973 0.00260945599989975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0569147713854485 0.0539074134870172 0.00853975596085145 0.00773229357175806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0541839888040682 0.0533669889587497 0.00853500477351765 0.00702453250601575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0110120467978128 0.00598270634764067 0.000487341923328703 0.000144502279728981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0109256889384028 0.00605465742656496 0.000479673219016131 0.000147979388592038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0110075622878145 0.0059753680263093 0.000488975636239145 0.000145895684886228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0109224820087424 0.00604763939997671 0.000481413442038065 0.000149382059315882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.011004991960433 0.00600508913977874 0.000494794835827324 0.000151579589056627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0109237445738728 0.00607610624605763 0.000487543250664284 0.000155058682799085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0111622299103903 0.00669397155373685 0.000525902290354024 0.000188663236225938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0110969774795589 0.00675051716364441 0.000519871169357581 0.000192038124185173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0163968071549989 0.0135522160692616 0.00104572097524883 0.000619543205882548 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.016413509957182 0.013578454298647 0.00105037406982847 0.000624772971499462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0243572709660425 0.0216430715621002 0.00206713583333306 0.00140268572019635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0244181375272362 0.0216569795668488 0.0020963164966721 0.0014128856601669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0110987146565825 0.00638035808483871 0.000515738016818969 0.000172726962710864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0110263115980324 0.0064439731470288 0.00050915991137002 0.000176162224964346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0125078960392222 0.00866167234628446 0.000655278540137587 0.000290663007492848 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0124725806418689 0.0087055739058198 0.00065164524906988 0.000294371342324741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0184010227211941 0.0149593901263266 0.00126993383895345 0.000734221737601173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0184276612778885 0.0149853167189736 0.00127740482686029 0.000740104878105716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0480292167095438 0.0426260896870367 0.00712459351994939 0.00469881715079083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0481579255193904 0.0425761740109447 0.00733115064708953 0.00473387105258774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0780021732239841 0.0702964375306882 0.0179373283896734 0.0113711815419596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.077731050810502 0.0700150451343833 0.0186001113811324 0.0114633090368279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.940930064557405 0.938190229487507 1.01066511728404 4.50818313186241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00785897569862254 0.00923916250078917 0.000255904341461311 2.25017337311189E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.941081035397099 0.938341295297349 1.01048977179425 4.50917907300619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0078727796684439 0.00921412000480462 0.000258009017772394 2.3643637283173E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.940801493017168 0.938049950123651 1.01082987420669 4.50735249825497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00790283674059826 0.00920734563878076 0.000263355863035274 2.72388999562271E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.941233186257138 0.938463254574124 1.01065577975109 4.51012986167184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00821705836159939 0.00934116261608546 0.000290764988236594 4.21610401667993E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.942886888819625 0.939644481076259 1.0078872345955 4.51101242032082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132447517802783 0.0131273443394555 0.000661169228669136 0.000221846579962233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.943607576027446 0.939329749683846 1.00549507175483 4.49868204543988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0201432596435104 0.01913116859976 0.00136290110809074 0.000637658829255883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.941859775820604 0.939102077443118 1.00986699812991 4.51412699410793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00808575693101802 0.00936230478836506 0.00027810764174181 3.53711591715002E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.943704628739073 0.9409369875254 1.01085532501566 4.52736932533269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00926699031162743 0.010189494422228 0.000360349788684262 7.58556607064872E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.946319608904175 0.943311971446447 1.0098689011343 4.53820839365919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138058830144555 0.0140009559741602 0.000707243250322253 0.000257645031315344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.956361451856699 0.950355965170186 1.00011759582193 4.55424850386734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0365510155248856 0.034969052982807 0.00396792523853852 0.00261839588342558 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954095249154832 0.943976215507461 0.978096215213901 4.45840066350459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0596669266481908 0.0567082672761946 0.00984146063341782 0.00769373269869354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0127473759551913 0.000666787573226475 0.000655588714842808 1.94603538810794E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0127672595006612 0.000672954313095818 0.00065417143724586 2.05719614629664E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0127375232493391 0.00131649455582574 0.000656141403658495 5.97149448586751E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012757166804213 0.00132160178291831 0.000654801682214405 6.16138887492526E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0127528391355563 0.00237473570302585 0.000660933857890779 1.71532341481009E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0127734401568117 0.00237860823823474 0.000659907844428808 1.74628473926219E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0129739166965131 0.00461305194801272 0.000688921125962976 5.9633747657624E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0129943646781539 0.0046209207245285 0.000688952059449652 6.03138644335877E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0166949568130783 0.0137144323188226 0.0010725847547839 0.000493373458144021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0167575347174205 0.0137243108441402 0.00108843122616553 0.000492352528153771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0230966293871898 0.0227788770335406 0.00185378565614204 0.00133513383530291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.023119980066164 0.022820545535072 0.00189464286027553 0.00132715976680089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0129343594019194 0.00367767011407449 0.000682708933981783 3.88075973702816E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0129567221496064 0.00367986465869519 0.000682410261037898 3.92315254194085E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0138590549710675 0.00726556490592544 0.000780240884563802 0.000143032911543684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138949591726746 0.00727418399768143 0.000783696627519055 0.00014380597456447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0178463187289231 0.0144703274569407 0.00119862417893246 0.000549777423042505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0179218378815075 0.0144819230323775 0.0012199881689816 0.000547955144570037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0428829265487377 0.0427569045581079 0.00537798651154143 0.00470246828857657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.042058718278902 0.0430213080564049 0.00547468972023115 0.00460476289465797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0733032559097243 0.0694295706627784 0.0137917326578942 0.0125871767730824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0678348657499643 0.0707295144271489 0.0132575735114629 0.0120510951332975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.97904312054873 0.977990085714249 1.34219085238505 5.12866256696777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112342723209121 0.0105824599219495 0.000518471726844556 2.76017995515246E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.977606934771496 0.97654855591147 1.34054013221711 5.11576802952655 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112283438437623 0.0105729410288824 0.000519007381819927 2.87661912922821E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.977718407719549 0.976645924184122 1.34039013322595 5.11636498647342 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112521267803564 0.0105935225977929 0.000524244248748629 3.28728259925172E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.978226662426561 0.977100922520731 1.33947083940554 5.11876896326354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113742358807692 0.0107847139568926 0.0005467595978643 4.97983257045406E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.979997027608278 0.978420227890312 1.33530034064361 5.11714313912129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0152155189270525 0.0145508390678208 0.000920090097875306 0.00024693486421789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.978695041626066 0.97641982085231 1.32831593122189 5.08211894844498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217320344802508 0.0207792767280457 0.00167525172165431 0.000699982244554055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.977896300570573 0.976825035223066 1.34282670167272 5.12005883357685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113667912080458 0.0107708305492595 0.000541595288696194 4.36860979687052E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.977267802990931 0.976173359136555 1.3422011783393 5.112594101586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012103468822161 0.0117337280400684 0.000623419396488872 9.38657442448498E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.982045972217176 0.980696614157523 1.34319107533434 5.14050075368621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160074668199914 0.0158102583677512 0.00100810644641468 0.000316393330278953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.997150579605599 0.992150703883639 1.33345849950607 5.17651668256122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0389324906850685 0.0389298880121886 0.00468072522764246 0.0032056703352816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00605048975361 0.996174419513176 1.3083815371537 5.1404124251696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0628990690723325 0.0630329730307219 0.011116031002163 0.0094174272301198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.538836833622371 0.536608085868392 0.459598737816309 1.59604237204412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.009782844977522 0.0100252154032146 0.000397162158492666 9.00039443905861E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.540002903469528 0.53774388904993 0.460868488511815 1.60221458739703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00982107065352428 0.0100160260957525 0.000400621841381494 1.07106741763575E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.539144244012279 0.5368413723068 0.460031751755411 1.59744591503704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00987936502405377 0.0100013797094434 0.000407818421870385 1.58187023604476E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.541258698200353 0.538902664669299 0.461676428988845 1.60759952882037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101465916357401 0.0101193794800754 0.000437230665419619 3.63424975670548E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.545946901043002 0.543285908730985 0.463925131639532 1.62289467062279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146021370358552 0.0148531142712175 0.000828996433907453 0.000281754312804453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.551617619835869 0.548054906443887 0.46762919237648 1.63901613417823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0214302048022994 0.0221939225782237 0.0015915156976717 0.000855307135091568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.539411244015044 0.537227364826836 0.460379712151824 1.59914825284645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0100188317774558 0.0101050730019779 0.000423266383395542 2.6109970497341E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.539780340763906 0.537712701647423 0.461017059183309 1.60041498565174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112094576557291 0.0110892677739314 0.000523146171923574 7.96325230754673E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.544302059283269 0.542081035390814 0.464076526297593 1.61696922795208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0158392148886094 0.0156771323727101 0.000944108252552748 0.000321415818884894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.558890109186662 0.552659401519556 0.469243881723294 1.63960561206069 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0404734625484048 0.0401682222079802 0.00492145247815819 0.00347436365153923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.574463862599332 0.56056333396432 0.480285964291786 1.65350009788555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0656648394587822 0.0652202271536431 0.0119723156069862 0.0101400835962339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449044966697053 0.44534906737438 0.493822931231956 1.26905739019444 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00998660580739299 0.00778464318493255 0.000406345305754461 6.37675228100345E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448079580404389 0.444378847856533 0.493288727532497 1.26511649304963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00999631790634201 0.00777468423077961 0.000408699856794383 7.82897094718155E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.44825829229046 0.444562383331276 0.493157734574412 1.26564241290153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0100093931219368 0.00777399289995854 0.000414339720284626 1.21313191282447E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447546603841799 0.444047070751458 0.49194118396146 1.26214764304644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101638442147982 0.00807668365060624 0.000439930973319521 2.91428614427423E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448301787735879 0.445125621809951 0.488217641470297 1.25576105167889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145710888725545 0.013087186761401 0.000838781740699554 0.000237607773541784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.450776244283394 0.446552107539287 0.487065396597479 1.25120390802695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0214408659428148 0.0199199629120364 0.00162185843121092 0.00071807871519446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.446341098802099 0.442699151831389 0.490452629466163 1.25617100671268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.010030693042013 0.00788182885667505 0.000423964472603851 2.07113382464657E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.445803718964742 0.442476792689319 0.489077417766413 1.25226597178647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0109004739143877 0.00908765169078934 0.000507049346392365 6.55259343909211E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448182038510317 0.444842336276046 0.486709265547604 1.252547991784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0152576644561709 0.0137440674758125 0.000896879168580223 0.000273454231650019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.461511839557416 0.453635840128776 0.48479412316816 1.25298345694595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.038922799646153 0.036666613163129 0.00460121113065683 0.00292862088204018 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.481064535155057 0.464988288930218 0.489287835369413 1.26599896429958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0631567083931348 0.0597910847049243 0.0112133552543224 0.00844567523814355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.976856750048862 0.973960102667746 0.52496012674775 4.30424033433461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00739761092809188 0.00956454862723254 0.000221879419069291 5.85470538683504E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.976955752777085 0.974062988086067 0.525290859848238 4.30535395045107 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00739536728121149 0.00956712526539009 0.000223517776681921 7.55989305269571E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.976492977977868 0.973603389897955 0.525592760519341 4.3020241376403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00740123435225137 0.00958678524453939 0.000229021791667413 1.25947194371135E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.976473486314548 0.973619023809451 0.52602972715807 4.30219278543539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00791150022823067 0.0098561264841708 0.000266130399535783 3.28440284791799E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.978966791895733 0.975706435814299 0.52557264845132 4.31292607201426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145571939770639 0.0148728060210824 0.00075189964342913 0.000275442794396698 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.981210392835832 0.976965070471399 0.525361876488855 4.31600934377321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228378860635971 0.0221382250703022 0.00166146889609613 0.000834331946249951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.976652306978798 0.973716774037785 0.525448584814141 4.30267113895636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0076013826566922 0.00965458933196864 0.000245645687166389 2.50397671443906E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.977343879838118 0.974308643501696 0.525609053726165 4.30584938706598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00926328048880611 0.0109382446811377 0.000352238070301283 8.50067787863066E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.979301434863546 0.97582320484956 0.526011663846333 4.31276225850591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0147991969812042 0.0161703061400649 0.000782969753342516 0.000359093406002838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.986691588864046 0.978607001519536 0.525228889522623 4.31127988232011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0405548203952077 0.0424923787234857 0.00485797448580694 0.00386410578690671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.982697462077567 0.965721662557513 0.531676198798617 4.19157421793357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0663637327462823 0.0691298002115051 0.0123638885248767 0.0111343755073034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.630476952814384 0.62852352326021 0.520474317274502 2.07999540240129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104615822710248 0.0101921570067005 0.000444715515568072 5.01477914544651E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.629043725025062 0.627041265317229 0.518914024669497 2.07104635569803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104710605591716 0.010180397423275 0.00044726222081553 7.0925990385177E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.629030566666654 0.626984930546196 0.518882403124465 2.0707312829651 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104853333054028 0.0101662238227615 0.000453455293357547 1.33696405779338E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.628579142635518 0.626512749544665 0.517699194711436 2.06659462638622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106739896169584 0.0103637306903456 0.000483011418867535 3.85272981391624E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.634356170781872 0.632434059964398 0.521036523384612 2.09096291715179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0155201800789218 0.0161515500836852 0.000938828559646243 0.000343724151559699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.639965644405254 0.637166590466342 0.525056714473012 2.10714214597366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0229429122255713 0.0244735946000095 0.001828455025066 0.00105418851631586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.629658655910481 0.627498177399904 0.517604150829991 2.07154432760728 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.010507085232896 0.0102893735045464 0.000463073335797623 2.51227982356383E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.631836029973325 0.629710487996856 0.518007934597756 2.0809299515456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0114327410275611 0.0114351393792989 0.000555560564070583 8.66001960249912E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.63376451353837 0.631487079829916 0.51753923649495 2.08199077076441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0161242029330706 0.0165815976010378 0.000997051604877091 0.000364132054442747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.657960576953781 0.649915221722374 0.54613685235201 2.16389143655956 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0416689807296171 0.0430872384543572 0.00524751487701878 0.00393011067756852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.685224185896668 0.665969763866184 0.584586519688545 2.2344564060357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0679765933600515 0.0701671161601889 0.0129297402479831 0.0114368223801858 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12041205518186 1.11890841378624 1.32025191258978 6.28903428444375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106429133946991 0.0114247503467307 0.00046655917640652 3.22363934164006E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12090527306239 1.11936887863292 1.32014515548457 6.2930883863984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106625629484581 0.0114432441699977 0.000468976127994556 3.38062828917538E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.1204485960771 1.11887172289553 1.3203734237183 6.28889384552912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106915028139889 0.0114861146879723 0.000474624632984267 3.82689982789843E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12077850768448 1.1190833414572 1.32000634438719 6.29043287221478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0108427511039373 0.0116794426799185 0.000498887960071811 5.56910737072635E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.11881263759394 1.11655449152209 1.31707586396735 6.25873991646911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0147862780907916 0.0151355438358613 0.000872240738111605 0.000254832298820731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.1199748669847 1.11699422301716 1.31372896937872 6.24848993781142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0214257801986677 0.0211596300938932 0.0016248263357361 0.000707109231271177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12030053221185 1.11876233074442 1.31857117160018 6.28594998046515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0107560633092512 0.0116284536679706 0.000487324897756634 4.71839309796799E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12018392864447 1.11859481555278 1.31913674319447 6.28361301380075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115142578070413 0.0123618453228097 0.00056654412968916 9.36441361184579E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12096305406109 1.11926005622016 1.31733102645084 6.2806834879462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0153884346788565 0.0159623341098222 0.000936572156829528 0.000296722197716002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.132703453199 1.12911350869099 1.30723355387476 6.32296324207978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0379569693366323 0.0379360985250885 0.00449697926722162 0.00295327676621475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.13608985061431 1.12914596377288 1.28364406615337 6.26621728659578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0612920921796815 0.0612054837171101 0.0107602581611522 0.00872579750234031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0112016343482354 0.000889717714541623 0.000508206157059561 1.01866358218824E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112443275187156 0.000938176920133521 0.000512069169995462 1.00096961171552E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0111920661916168 0.00120036814980754 0.000508596904214208 1.54204996745665E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011237096484424 0.00122821813766465 0.000512653544336797 1.52906571256109E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0111775191726261 0.00199130841813196 0.000511080714687448 6.71314849237835E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112296350827374 0.00200812921283462 0.000515731313468159 6.64381401693835E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0111741837446156 0.00377500599603429 0.000524007910435278 3.00793336969556E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112515241872748 0.00378849441164685 0.000530904193369625 2.98618889852808E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0141436311863148 0.0111386131497044 0.000806315058801636 0.000300185831581182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014320217792792 0.0111533686836654 0.0008324378508326 0.000298182903032145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0198354241887883 0.0185304181105683 0.00139865923646175 0.000851943830600744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0200558803843937 0.0185585359290903 0.00146493189124447 0.000843788731353791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.011161083966317 0.00298529107526451 0.000519539193843088 1.74558514992996E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112279812831755 0.00300145562929911 0.000525466007078163 1.73564434171235E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0117583591699771 0.00581841167067461 0.000588732737996761 7.61193556057742E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118693525128919 0.00583281013296567 0.000599864553140745 7.56426512124836E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0155724918140715 0.0115511798737826 0.000945644065028595 0.000320058337580623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0157474313130892 0.0115747606602213 0.000976126293386106 0.00031792303666937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0389733171444144 0.0344151136608534 0.00449773541005424 0.00299346818565528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0386681925440205 0.0343901573177346 0.00462051433795751 0.00288680219805367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0673872055943944 0.0567234583187416 0.0121845262700637 0.00854177428249321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.06240643368346 0.0564618221486706 0.0110762089399218 0.0077052518697035 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0127791576310914 0.00709865905336991 0.00065800096877181 0.000204048619397066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126777416875036 0.00717676486349224 0.000647561925876199 0.000208526909706957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0127802052385463 0.00709340354137329 0.000660372846257238 0.000205532343817638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012681011529321 0.00717211551729499 0.000650141313553182 0.000210036437405738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0127834971922171 0.00710120366428363 0.000667367981854304 0.000210594531361295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126901705344468 0.00718026475080494 0.000657683253948227 0.000215135228094853 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0129144722162741 0.00758886572747412 0.00070102688281031 0.000244084143116864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128425261696554 0.00765845006534307 0.000693351180742915 0.000248600863630996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0178998569597213 0.0137147892857151 0.0012668931633369 0.000660400961348694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0179463366181753 0.0137733271908529 0.0012774760805468 0.000675884483189775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0258947672108689 0.021422481387932 0.00238756787186005 0.00141348834821024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0260320989125206 0.0215726810053728 0.00244041760806236 0.00144879451521313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0127873272020325 0.00729414260341746 0.000680456434800409 0.000226367954845685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012705026832116 0.00736798170027152 0.000671768044650259 0.000230848687980515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0136628109096335 0.00902002099267581 0.000793140762289668 0.000328970381595606 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0136269556625331 0.00907258480529898 0.000789063998150894 0.000333576016818972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0185990528659305 0.0145526462608928 0.00134696099584116 0.000731282969052674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0186445395395415 0.0146038728769814 0.00135930375665051 0.000741958334695379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0463553036729609 0.0401156658107452 0.00665160751375297 0.00426888198994717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0465331360589775 0.0402580373034518 0.0069416129313101 0.0043714965662265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0751858461689916 0.0661188959929623 0.0162379009806996 0.0102019203724058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0750161218674329 0.066141533332346 0.0173167761189458 0.0110306266592346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.940675599283605 0.937101111542815 1.01180841383452 4.49662430595508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102273345274191 0.0125205524106052 0.000471336406583107 0.000167072714105939 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.940695776011105 0.937129754069049 1.01175971286775 4.49673824308523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102558909606663 0.0125482257700755 0.000476140442867198 0.000180854025696945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.94163684352051 0.938064609575318 1.01129533807301 4.5033041993975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101739794007634 0.0125178592084591 0.000464422354694445 0.000183383979215693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.941842532231164 0.93827124932532 1.01124287249834 4.50464075896256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104546003337855 0.0126106186873644 0.000501613415507714 0.000195165292122492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.944515138526215 0.940911346965053 1.00899731653415 4.51742600845424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013905462640958 0.0154890823440987 0.000792214141069753 0.000343302821437125 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.946332124063602 0.942409315416296 1.00577167960562 4.51807878062492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0194184767893916 0.0210392643636261 0.00135741424573471 0.000765598222349341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.940284767562455 0.936644205178661 1.01202712141154 4.49347734730072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102889449887197 0.0124700755190108 0.000477957754709431 0.000160520418603578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.941042575344247 0.937352091939055 1.01265714049629 4.49873884972392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111388299204568 0.0129836494932901 0.000554868064347547 0.000201942193635131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.939845677035524 0.93579974802098 1.01203680831332 4.48250583223857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0147831425044821 0.0157324025405644 0.000859432622315145 0.000357902954084192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.941870616013761 0.934725008864102 0.998220141274399 4.44141779656122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0354571224205561 0.0350656470832682 0.00382690970644181 0.00256829801869283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.936637142190658 0.926853046841581 0.96775063300855 4.33685880022934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0573768553027037 0.0561484395530853 0.00961608326409819 0.00772090633629506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0150465784112675 0.00145617735733277 0.000946501673316699 8.8106140344663E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0151861656609487 0.00333255618436391 0.000958552112036399 0.000241651402807249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.015073107118136 0.00175988496997929 0.000949958943849121 1.21702179509055E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0152026663152437 0.0035573921122438 0.000961118171716037 0.000234745121267572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0151274411160018 0.00252014731566881 0.000957848675751608 2.23866185062361E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0152435786522767 0.00425688331954764 0.000967751043628624 0.000237651081151229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.015331912423381 0.00441587509318183 0.000987543681101806 6.07388602340139E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0154323671283038 0.00595952484289709 0.000996322124630733 0.000256191556110264 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0183297206933533 0.0126730111028273 0.00135359920727651 0.000441217096379829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0186080755432122 0.0136298983903678 0.00140297466187959 0.000577354266738569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0238783733446919 0.0210216230262719 0.00209015137624957 0.00117662756018865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024351105054564 0.0216759501158212 0.00223590056011535 0.00127260074463647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0151432747569142 0.00370426575162924 0.000967366821315538 4.51310718970069E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0152381231885547 0.00525943572297996 0.000976954146896167 0.00023883169153854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0157853914700806 0.00695605677415162 0.001048411231937 0.00014452412941577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0159563572048958 0.00833764834111349 0.0010701231093007 0.000318686732407922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0187735566570339 0.0136511199880572 0.00140286433425709 0.000523520223312141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0191388979381525 0.0146795208824673 0.00147461670494919 0.000669258571469504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0414850671969412 0.0397355310849511 0.00521155672453135 0.00423476028766489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0407573942507509 0.0404283328244347 0.00541777511848699 0.00420377176222981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0714618837287618 0.0642422940957673 0.0129285497088796 0.0111027363815004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0647285394713978 0.0657774937160893 0.0124213282196171 0.0106986753036634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.984648619054509 0.982162704750932 1.35238221830134 5.1606694034914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141916315234993 0.0143078160305454 0.000826350113381599 0.000139955595263882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.985189193603364 0.982702514754774 1.35138216380572 5.1639777822749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142366033918037 0.0142905159121005 0.000832408463232364 0.000139742081900977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.985206665054807 0.982714936668185 1.351768533799 5.16447743361429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142792453094599 0.0143002028893554 0.000841772138018643 0.000144801305879859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.98577286921445 0.983262342256848 1.35212025623135 5.16914254338703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0143506026939547 0.014319877586576 0.000864072574641434 0.000154560284288792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.987225534579269 0.98457562180088 1.34716464810799 5.16947835568182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0172579515748097 0.0165317385805935 0.00123843506049642 0.000322312022767823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.987322826178307 0.983916614727877 1.34571337735918 5.15271024810208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0230856952262737 0.0215675048797791 0.00202176993191331 0.00070216808801193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.985909706720736 0.983397725838013 1.35395780188207 5.17190824388018 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142658702354362 0.0143979375035449 0.000847061131442001 0.000156364398024868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.98401928868668 0.98164965683562 1.35227349994108 5.15550327957825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145010161319881 0.01480635957921 0.00090216061335469 0.000192034948489639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.985545277988592 0.983524500237287 1.35056661532482 5.16208992785771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0171180712444074 0.0175279276733668 0.0012303289973087 0.000372256850520554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.994571678235456 0.991246162625647 1.32596205115457 5.16337489633971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374959277190723 0.0379122878750193 0.00462512680096102 0.00289359139202544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.995541738831829 0.98864280195285 1.27945380957613 5.06581125758931 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0599397057561418 0.0604522820093925 0.0104982856905986 0.00855181673056217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.541999265362699 0.538639595767031 0.463024661635998 1.60279782968878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014077095951616 0.0127643667733284 0.000889882710591938 3.08125514503736E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.542365436959173 0.538997324430762 0.463849054861 1.60511057148214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0140200930592388 0.0127506030556718 0.000879673083245735 3.07410785483421E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.542860026933825 0.539474712845638 0.464446387850187 1.60769524237692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0137711509860502 0.0127765401414158 0.000843613656881002 3.58310580169968E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.543168883206723 0.539698823329497 0.465255323811918 1.60913446453991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138022651845775 0.0129000613075856 0.000854125719327814 6.03091810154839E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.544311895786538 0.540617833651123 0.462595138974851 1.60526276659705 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0170295199469369 0.0164116050692063 0.00118917997283612 0.000278692002391186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.546548608778043 0.54214293227533 0.461043473465279 1.6028183900749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228104892905641 0.022737743349095 0.00189174057033855 0.00077129695997875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.543010637084683 0.539544066645932 0.464384946787859 1.60779313123389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0140882869548274 0.012841004948727 0.000894187319330727 4.58554186496847E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.543110926277193 0.539671242434944 0.464692743767801 1.60750279092892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145555087203992 0.013492392240739 0.000947860900266914 0.000103843700251346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.546967602275476 0.543478397748803 0.46568335533448 1.6204807070497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0174418501174566 0.0172642077088262 0.00124636959207813 0.000334806356822653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.558507709799761 0.552077306257299 0.468328033851256 1.63747709552289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0378142153590468 0.0405785051178716 0.00447530331066014 0.00334875275429371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.580658914386196 0.568971980032293 0.482027687306326 1.70132210164602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0602014049244493 0.0651257781662902 0.0102366329740521 0.00983536277444173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.444718211824989 0.440910662856996 0.484516299549278 1.24153655293521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011577526158194 0.0112375921360238 0.000549369230922095 0.000185769671649127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.44546046074949 0.441631986539476 0.485221330937775 1.24478374037649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115613565734396 0.0111967326071389 0.000549489707127371 0.000184468763372915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.446395233386875 0.442551629963403 0.485622977333314 1.24843452491598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115748648351931 0.0111732354288816 0.000555283538403869 0.000182953793118126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.446362782191681 0.442576202647448 0.484891376465872 1.24750821577081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0116478912510921 0.0111885708192868 0.00057780200997695 0.000181250707202994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.450641042187418 0.44715551898041 0.48844453779493 1.26206888135404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0150106263074553 0.014541088308429 0.000913119584675332 0.000360096986918019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452395115936028 0.448205257035313 0.487569190551143 1.25728843493506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209531092699982 0.020172616857747 0.00160425942935722 0.000762910631289845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.446896112322941 0.443154452242923 0.48590483576846 1.25096821723073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115649701423202 0.0112238031433247 0.000561047820966741 0.000191773127977206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447362156207235 0.443888137120842 0.485343478295671 1.2519320619264 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0122104343077654 0.0119732105436165 0.000642507140810736 0.000232310962758087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448300390776657 0.444843399398617 0.483260203774752 1.24875917846502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0159048442270987 0.0150918077785541 0.0010153933590085 0.000382598998630165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.462485384687424 0.454225369195953 0.481254302395758 1.25542674335092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0378320889923338 0.0352244564407008 0.00452214428967584 0.00271757389543675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.481109871509216 0.465815397498622 0.481111737470196 1.26935564114996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0610824555482732 0.0563228504091181 0.0107522515360646 0.00762014615161161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.980886020485099 0.976890756532399 0.525232752185189 4.32428486612051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00996398731889227 0.0123537198847088 0.000424416538153522 4.55571651500407E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.981174078819516 0.977217672758276 0.525045988149879 4.3266420376125 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00998457854392998 0.0123311917821557 0.000424463888956363 4.61253277447521E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.98119940860713 0.977276692625326 0.525410938424324 4.32742874399395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00987126263817278 0.0123600695099172 0.000416330432070468 5.39776912117293E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.981584422568916 0.977701581017446 0.525108258189264 4.33035864530305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102783568303028 0.0124216022030177 0.000461427570757431 6.95173755260941E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.98289411641898 0.978832472721031 0.524875556751214 4.33569857465745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0149109423026887 0.0155651377296769 0.000859816050355094 0.000267596151166213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.984594889581937 0.979782783312611 0.524324204018121 4.3376098783809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0218128278327931 0.021627039302391 0.00162541823248934 0.000722124674747624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.982304279997016 0.978246992745171 0.524656628865289 4.33433836124764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0100430567935137 0.0124578384729818 0.000449262893765963 6.69664526088231E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.980994893427066 0.976740508018298 0.525502606976064 4.32267433102007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111121001573824 0.0130482464005286 0.000536556937885463 0.000117625712868902 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.983053767973374 0.977998438877606 0.524471502694591 4.3281562453063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160208465100583 0.0167761116829179 0.000962621881547112 0.000333625030025866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.986871575593613 0.977225207863549 0.523156880739758 4.30392627788315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0408915987073804 0.0396716594254798 0.00495058824853997 0.00315622107593903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.980562385133726 0.963514643838724 0.524888139776678 4.17929242379083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0666628605109855 0.0636495450525912 0.0122976196403274 0.00918339645740819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.636008630481378 0.633258149872304 0.526084130552257 2.1037587492419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0134860716650621 0.0128224156259643 0.000731830835489316 2.96876640830223E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.635198268852545 0.632457979083217 0.525027383861375 2.09860460735139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135065421750306 0.0128971155645506 0.000735753748636926 3.84586693214813E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.634404520034627 0.63165937536552 0.524932900417029 2.0944126469865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0134965641338579 0.0129130107299649 0.00074000694708845 4.3238082058937E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.633673737349939 0.630935036451372 0.524463545714095 2.09006736260128 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135335697986004 0.0129897577308112 0.000765998653743369 5.89222885710352E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.636642418617573 0.633885165790089 0.525216603318978 2.10067401222869 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0167645778586478 0.0166008340590816 0.00113224144678577 0.000289203744738733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.64215653174623 0.638825996973563 0.526596917747674 2.11938142893747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0231453178578397 0.0231859801770081 0.00193763824776456 0.000819249450999249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.63633540260843 0.633531634553858 0.526175052485184 2.10522768110196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0134659835177994 0.0128304076278512 0.000755111912142249 5.33912255766331E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.637689609826739 0.634912604072308 0.5280335596038 2.11308207876677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0140099800115546 0.0134314042222428 0.000837174632778321 0.000108292195947876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.642129688240439 0.639110607584372 0.530720944279445 2.13168650865425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0174456120976112 0.0175309212522327 0.00120864860401602 0.000355006188696643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.657739921133204 0.650128323715297 0.546341694688747 2.1697552914427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0404682249932722 0.0427389871373685 0.00513281360652598 0.00373989783617653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.677667263596132 0.662234984600881 0.573206216928619 2.21774701125975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0650682476370226 0.0686336472519857 0.0120673645112957 0.0108561565623778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12451348378803 1.12200930892868 1.32653307731115 6.31480178263033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131684616707735 0.0148782654477029 0.00071382702473124 0.000129615708288664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.1249363598826 1.12242747751264 1.32626957543996 6.31830214319695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131452684872931 0.0148090811700089 0.00071292451843037 0.000124383173661935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12344012871172 1.12092258918168 1.32639638969299 6.304907592682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131591496686305 0.0148828002653394 0.000722170094562496 0.000131374381342229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12405104571389 1.12147697750686 1.32716564270101 6.31067025688599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013189565314334 0.0149235904328364 0.000738435780859035 0.000140527222240672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12588636138539 1.12309289689154 1.32486911583482 6.31895102386215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0158361776978469 0.0172891861765908 0.0010399448715221 0.000326765831487436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12816151347915 1.12469003422204 1.32109303577818 6.32170696911721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.021363469568944 0.0223734599465208 0.00169463090868638 0.00073362144430858 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12362111169566 1.12103846337042 1.32655990140307 6.30609651475738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132701610547352 0.0149047339717934 0.000743451182444806 0.000141098009811505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.1233965108494 1.12071943955766 1.32686419990889 6.30304124555984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0137761312724752 0.015213505719404 0.000819147550262081 0.000173609393458763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12454955398813 1.12155220862564 1.32749103730125 6.30599325281873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.017096238739229 0.0177409952687786 0.00118319913435905 0.000354384639508027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.13197166177586 1.12675450845806 1.30767204578842 6.30285819080525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0389460078537886 0.0372901374935541 0.00475616062624745 0.00275740974087731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.13326844808269 1.12564099071113 1.27310609365108 6.22855869024229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0623922816757985 0.0589911762484859 0.010978861688932 0.00809337773446978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.013028235598059 0.00101796367343632 0.000688260245109793 3.81138739098889E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013056582048181 0.00526761997690664 0.000691218618383839 0.000306770936509275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0130066626873428 0.00130335570999066 0.000687300173707295 1.72564469367646E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130386787732257 0.00544652764555753 0.000690619850840022 0.000302843208198528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.012976805263118 0.00200970884329775 0.000688071161576533 6.45014343100705E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130188596310891 0.00611225171793348 0.000692379776430741 0.00031256709201577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0129409387497347 0.003689241395554 0.000697435495488081 2.78510489507543E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130197218099147 0.0072318718905997 0.000705473030212671 0.000300925405848927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0152435964050733 0.0107663536761351 0.00095087727768495 0.000277711235236132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0155623713494798 0.0131365132833275 0.000998670391720167 0.000523403199892714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0204898031552323 0.0178910152997187 0.00152257484190314 0.000789839594983318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209975690783956 0.0196381073541508 0.00164049252964907 0.00102191547228565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0129809758296419 0.00295436846437684 0.000697329572025466 1.65610313647415E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130430854337042 0.00676201991475538 0.00070368148326102 0.00030539002541788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.013190808562585 0.00563037503825686 0.000743764395942272 7.06141809037934E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0133294478910622 0.00870429886141386 0.000759016994885184 0.000327385380880991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0159933473365105 0.0110940746032998 0.00103849673288401 0.000296079554753642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162953636358362 0.0134508158551429 0.00108683065890753 0.000537249358869368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.037111136973517 0.0329628934652192 0.00416888732957264 0.00278586037949116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0370183146614098 0.0335916851580185 0.00439825776239924 0.00278597582179846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0641572719058185 0.0542734796997729 0.0106920943551682 0.00787879815671221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0592289053610848 0.0543324078600382 0.0101565281157335 0.00718825808055923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0214344296839317 0.0123084238168058 0.00188707477955302 0.000697457487695828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217993605626753 0.0158002778659791 0.00207742267506586 0.00338660240353974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0213939203849737 0.0122950369611808 0.00188202077903195 0.000698830215283002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217334845421957 0.0158613114365228 0.00205014900187213 0.00341107594343926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0213563206200232 0.0122985122149094 0.00188098226652208 0.00070418102291992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0216989796829736 0.0158009233148622 0.00204937679014112 0.00339018666995894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0214893756131524 0.0125081377873727 0.00227754064738216 0.00080845749878449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0216980442969664 0.0162207107639963 0.00208251947959244 0.0036897251735684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0235487592659823 0.0165876604297647 0.00344125525289491 0.00139482755510805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0230791040145825 0.0201407088807982 0.00237080606847508 0.00404010669774083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0294977065672968 0.0236399413287764 0.00514085032900325 0.00230217565721044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0281336028343318 0.0292056755615259 0.00349636026145713 0.00814692836656914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0213239725827792 0.012287959335865 0.00192479403213764 0.000699880001643646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217217446696883 0.0159169281131602 0.00207948921513822 0.00346039879695508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0213589037331399 0.0129012241823792 0.00207131170246224 0.000763018847306684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0219154151377943 0.016699956320566 0.00217172522322026 0.00360642857202103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0237540896292397 0.0167800814455511 0.00297594608178162 0.00119729031364218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0237129107049406 0.020926516346503 0.00250397796994664 0.00477541012836195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0528415093480804 0.0422245124577099 0.0134650830012658 0.0056135068245903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0457993915632857 0.0527381192051225 0.00790506569642477 0.0213864299565908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0920464164300357 0.0717341157849611 0.0312629287261381 0.0130065193744695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0716094308821797 0.0906149569172822 0.0169141904837834 0.0544595152188943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.875841232250682 0.868913417963292 0.950301531191532 3.92666957000165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0222404448997796 0.0246084196585477 0.00661508863664252 0.00403398159904548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.876124983818488 0.869188765134835 0.950263624892776 3.92867980575313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0221080763686873 0.0245807310514994 0.00652746448801517 0.00403628848369105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.876148693876776 0.869211343934366 0.949927118087979 3.92866416422962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.02233835314712 0.024554614535541 0.00670507158319151 0.00405301995923118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.876055016781777 0.869145663385511 0.948841226238692 3.92769822575542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224714516265812 0.0246448923351555 0.00676753246993336 0.00418656767629275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.871792749854864 0.865502685186848 0.941490794476725 3.89637779613562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0242158333568996 0.0260134672124686 0.00703804892517961 0.00554796463843708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.868549494702217 0.864022727734238 0.930372978394971 3.87547004452266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0284278276494127 0.0316036450844235 0.00796215224288688 0.0105264830868546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.876302832711508 0.869612033753457 0.94995825740481 3.93162624879155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223510540093772 0.0246065673850037 0.00664688403492016 0.00398916863161492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.877141764690356 0.870882489425067 0.948078353231357 3.9393905181751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0227492519775146 0.0249045407105998 0.00674159603823781 0.00439055006993792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.875708193535593 0.870519769917065 0.941452408335521 3.92855748915675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024855528519004 0.0266242208958201 0.0074708591364125 0.00591970394972632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.867260426604116 0.863904813779897 0.897743903296565 3.83041752155241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0436172892510569 0.044052403802421 0.0142797766000187 0.0128635912680792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.862151227191146 0.857963798840053 0.837791882608864 3.7241503564163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.069327232389054 0.069784172902539 0.0270715938998063 0.0313094690796104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0238046777453264 0.00860633068771469 0.00249844543819775 0.00212687761809368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0251594707672525 0.0167414602038103 0.00326369543706905 0.00617312616881029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0238016815061364 0.0087444919553462 0.00249773016134638 0.00212847075796298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252006455007005 0.0169876582550822 0.00327389610715871 0.00619648202820451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0238551093229107 0.00910234181366817 0.00251585046837131 0.00214375223151201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252566262030554 0.0173099701781825 0.00328656983683034 0.00620665358678477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0240821712602253 0.0103066767413836 0.00267232949295417 0.00221154870687071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0255559550203919 0.0185729653571664 0.00358263649337257 0.00640152244522109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0285860569073086 0.0171741867923338 0.00864988674018669 0.00271435843095771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0273253767120697 0.0253172225835501 0.00508730590204949 0.00782106126824605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0354763334717275 0.0247464426381622 0.0151391974783 0.0036326824382829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308801469388079 0.0326951625946504 0.00663580257883023 0.00902121959896731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0241399995667552 0.00956536626587196 0.0028454048989699 0.00222806053039596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0257281309408852 0.0178169378734852 0.0042931199737804 0.00677565221959614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0252732965256043 0.0116064845827189 0.00500054110036271 0.00237572419955699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0261035636262109 0.0198880041398196 0.00457420598164513 0.00724252239657196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.02917021123683 0.0167731640320695 0.0103528175699886 0.00282953558201134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0284295693440539 0.0248589876857234 0.00688491544294825 0.00858977263621251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0680392554392585 0.04015012027965 0.0423035450853579 0.00669152180826807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0506746128593312 0.0514204895572758 0.02151299279552 0.0188458005695045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.122598562392798 0.0631749280608247 0.0846455877804305 0.0130264003991449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0774373309462812 0.086760399012897 0.0369422603272454 0.0443690082225514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.97198180692209 0.96663627986231 1.19939163193875 4.86739417275972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225117984809049 0.0240082534829172 0.00225320297213057 0.000828890828088045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.972019011101541 0.966638116140221 1.19846675226438 4.86670218740621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225973621909072 0.0238789186382489 0.00229484412029405 0.000798333991296098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.97160350392708 0.966195826899704 1.19863162000276 4.86359549429441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.022585224413193 0.0238767740225048 0.00229496857552792 0.000799352786350406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.971724688957711 0.966295129361546 1.19846984790017 4.86493509102117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225664557418167 0.0239632198036011 0.00228792245081931 0.000818758135937948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.969987449407708 0.964724738878443 1.18816624777468 4.84584211852655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235262281629797 0.025331487184762 0.00256250426233383 0.00190605439129556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.970023822022748 0.965177061253738 1.17623090519577 4.83803174411656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0273384572966452 0.0287240010328179 0.00376251920621495 0.0034331893435262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.96878511912363 0.963569999066574 1.19613416726634 4.84133752730558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0226727621024309 0.0237657826762916 0.00231882535151934 0.000793850907713794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.967552932805412 0.962493958436949 1.19320267700443 4.83173966551676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228041848670251 0.0244144309205729 0.00235674623006675 0.00184909074286832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.964880683799724 0.960299669751938 1.18418935052308 4.8085563174152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0237279649394363 0.025624107802976 0.00252839603875342 0.00210104611565091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.961294081886134 0.95914693841061 1.12774619188621 4.74288348463472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412082072068533 0.0452521651830994 0.00907933701462195 0.0125427087246704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954958131322797 0.952771751082514 1.05255253451037 4.61662891370086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.068040742087408 0.0753728004458752 0.0239095656303833 0.037128807408276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507583310638387 0.501565557765981 0.433356369106729 1.40536107761521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235256102494475 0.0213259680547282 0.0029211047535963 0.00109963206856511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507134114738642 0.501106953985237 0.433085751768211 1.4034003675632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0236704976911952 0.0212620646087918 0.00298626743727847 0.00110169283034684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507629248520372 0.501613824885654 0.433369564756628 1.40593995475906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0238073009170747 0.0211720959507293 0.00304084642959607 0.00109457930882558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507074648124421 0.50108932930367 0.433088103173014 1.40391018531861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0242844963408903 0.0211865072003158 0.00392995419765882 0.00110540201866194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.51147918487611 0.505715918626293 0.434330179671038 1.42463550101241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0256802199992148 0.0226275064200407 0.00463920931498854 0.00169161592775069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.515759031045806 0.509422452351527 0.433660484469103 1.43652886386274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0304795726124077 0.0273078496702107 0.00753332801619862 0.00272036322588829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507459868093716 0.500941597589817 0.432077893837614 1.40166319268142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0234187879710172 0.0214578355806848 0.00288708682725045 0.00118262736541135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.508311726727987 0.501549301542732 0.43142224730541 1.40353712563873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240750703670164 0.0218640452710668 0.00386417304412533 0.00138429061232853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.510779996595233 0.503716092603892 0.431715487532423 1.40960837867875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0260443903593502 0.0238964117349415 0.0047248533089843 0.00185477273169844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.526043580373656 0.515291980735095 0.422583051334776 1.4343310919877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0467686933090064 0.0462194691036183 0.017153162743249 0.0100160356505003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.549714887611912 0.529840800405565 0.421069080331139 1.47117647853461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0759427042261105 0.0728672466198044 0.0370587063645698 0.0253036916120093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.533972545717686 0.527218558525095 0.62787137604034 1.70532734694418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198019009168831 0.0208404102180153 0.00172687068464323 0.000893397757314407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534243468705893 0.527446124751045 0.62832434996614 1.70679765309011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198186194736705 0.0208953733999034 0.00171946810032299 0.000894014102310893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.533479809682276 0.526624470019706 0.627227686853643 1.70238797283279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0197995087200858 0.0208386788721268 0.00172187030455654 0.000889657797776933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534199326338641 0.527208913205411 0.627137463503943 1.7048281254267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0197661805194889 0.0207509853481882 0.00174774121341711 0.000914883424574928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534991987928744 0.527598513675153 0.627073948322966 1.70265069524978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0213621658529968 0.0223286715054958 0.00222025630025051 0.00208080515887859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.534993787382989 0.526704692592097 0.61824889257163 1.68511151318843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0269104254894775 0.0263304745523947 0.00438716371923792 0.00395726360105689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.533410050687911 0.526528947822912 0.626824708681895 1.70164081676656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198487369284614 0.0207564046657341 0.00178788584423882 0.00088118259014607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.532101701394323 0.524951792739811 0.623185914762204 1.69146442349099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198836455422611 0.0208682485332055 0.00183241788949184 0.000937948913053107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.53219389724452 0.525219637475209 0.61831064233556 1.68530088806855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0220632063345918 0.0221624263027751 0.00292727042998583 0.00149486520090852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.539046667262825 0.527249249132187 0.586128768530616 1.64473665914073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0433049603196203 0.0398322797086799 0.0113330403834905 0.00715045733656056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.549718668142371 0.529638378714183 0.550792676971083 1.60476085115142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0685286339649158 0.0629137318350019 0.0227371484108357 0.017868757724793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954433697289454 0.946065528727996 0.542785744735302 4.096966390508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0188178716122153 0.0199041099430061 0.00272913847176028 0.000416818373748687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954440556240538 0.946033109028385 0.543025474017216 4.09692977754147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018892995230506 0.0198914305887386 0.00275437914610394 0.00041335007919874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954230426034096 0.945797140227612 0.542955432813933 4.09510571766305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0188351461894363 0.0198859471948005 0.00280523420940382 0.0004148961037781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.953325836657365 0.944887001073999 0.543457093452113 4.0887664122126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0188134079181449 0.0200007169509428 0.00278573917943784 0.000444316976190188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.9522208544666 0.944082829620257 0.542580002524673 4.08021728475729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0210675256449192 0.0219272247766235 0.00292001780459548 0.00102916927110108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.94867098111293 0.941115925996745 0.539039741358851 4.05113086831823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0266587384060881 0.0274590846202734 0.00408819155091944 0.00313892698772717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954338696766348 0.946153005310078 0.541880913702839 4.09672964940142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0185599621129626 0.0206568077485109 0.00262673641190261 0.00124284267313707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.954353373120314 0.946153118055299 0.541077646933415 4.095902913603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0190467043259522 0.0214041871063603 0.00289131728389025 0.00188897351077456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.953319038393188 0.944940509070289 0.53999700384794 4.08402015167993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0221020876798347 0.0235765041407614 0.00343533596754738 0.0023147887395315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.947906035793315 0.940186750845555 0.523656943163407 4.02032530024784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442307399257386 0.042443689159592 0.00919782269796581 0.0068175883533816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.93275973304502 0.925871789828358 0.502211007923375 3.88004639078111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.070228536600706 0.0692967580523515 0.0216237391605624 0.0215003839995806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585921990416125 0.580261597937201 0.496742517766542 1.80264025362775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0229654614285114 0.0225830163787877 0.00241335912919187 0.0017153543884042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.58487864519305 0.579198188850426 0.495542382782478 1.79666331544342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0229024596475463 0.0225756810216789 0.00239514835746476 0.00171062946645156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585288385723897 0.579551422862424 0.49564698585824 1.79858044485292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0229086416232159 0.0226163863187258 0.00241417934767264 0.00174424888826534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.58499142721852 0.579183911593869 0.495103803865 1.79682649435399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0231467355086895 0.0226172241851944 0.0026373739231355 0.00182161376661831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.584778374887315 0.578910351495491 0.490042751341855 1.79052092791103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0249585842888073 0.0245552510171669 0.0038382206971548 0.00244103325181276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.588327054420085 0.581859547131721 0.488930092781905 1.79976961778241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0300047184332151 0.0305353979936733 0.00612457031314365 0.00480548215370319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.586630984846247 0.580747626017262 0.496296203194015 1.80464177996714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235142672640115 0.0225245405064085 0.00318024859634827 0.0017646370980192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.588355375216149 0.582439044983945 0.496927707410881 1.81334722201681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0238322682429798 0.0226973046569021 0.00331618725618207 0.00187588924927414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.592773338098889 0.586970632135938 0.496963712867662 1.83385744528983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252579749324202 0.0256922528171971 0.00368402932262281 0.00290534564675842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.60698674691191 0.597301189247854 0.48810136195402 1.85955572555193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0480788156875843 0.0474359689534833 0.0144692398242726 0.0109241547444895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.629326558131993 0.612587680543548 0.488471202432652 1.90844739999705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0749149706926576 0.0752595049750391 0.0288391185354592 0.027730543744304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00197082946761 0.996053171893498 1.26784718752365 5.16769941406362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212643353393807 0.0234804516551381 0.00197432341683301 0.000595679582877868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00259841979435 0.996664253231594 1.26720407758305 5.17207865369462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212402150283306 0.0234204330594745 0.00197771976930531 0.000574379123460347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00224124727864 0.996309552454115 1.26666504445987 5.16896837242002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0211906217934704 0.0234303284197866 0.00194627815482491 0.000574486166151227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00222623834593 0.996317246688412 1.26663645853517 5.16974674956641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0210560388174415 0.0236082905109886 0.00190354007924703 0.000609756735881335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.999515953241534 0.993963528715184 1.25612332922116 5.14365190062135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225960615496445 0.0263751541971086 0.00276325807117282 0.00420478127079912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.996352633227786 0.99181152320397 1.24277331259525 5.11242172812521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0261693265328788 0.0299535447340587 0.00394569198432309 0.00535773510496463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00197731251781 0.996242739353802 1.26672427915076 5.16900975539597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212318539774684 0.0236918790997238 0.00198693958236283 0.000643931871238475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00097351702597 0.995442118824631 1.26361694909323 5.16127953478713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217221478291607 0.0235630491121018 0.00242256302962606 0.000629053626638209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.999675688675499 0.994742384096431 1.25663090138172 5.15129274172018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0230958647039709 0.0260950852187368 0.00313987761932732 0.00315313709420089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.992304640210527 0.989602711696129 1.19456428407769 5.05087627874932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0420905868204905 0.0437258096957708 0.0101557992683089 0.0127028718378311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.980901634021075 0.979703317076811 1.11026732354883 4.88828342332538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0659562317042309 0.0691561489182368 0.0213711767077738 0.0315265741559972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0220932510414582 0.00347604508519815 0.00199974862941767 0.000142908109552164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225025682176673 0.0130192401641483 0.00230136342820808 0.00129760548233086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0220917761934066 0.00358595092568238 0.00200047218962464 0.00014466872515637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225315393544962 0.0132259506614738 0.00230693384564113 0.00131530341890491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0220484362777835 0.00391721314095371 0.00199576219660713 0.000150628202376777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225582835472022 0.0133074313557119 0.00231412003825486 0.00131010871771834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0220306872750327 0.00501330943857444 0.00201210014844597 0.000175111671271833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228985847137676 0.0138739279567585 0.00265927587735859 0.00136155982106817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0237049162497585 0.0110738703180873 0.00403420058394583 0.000443662419096957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0246021195058305 0.0181587338237758 0.00377005379865871 0.00182748509925351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0288609453627799 0.0175486782226497 0.00782302342010004 0.000959557339407231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029156462407835 0.024106995170522 0.00644578878771266 0.00287749819509332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0219675905909332 0.00448499614031158 0.00199133005681683 0.000170382240115427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225870098237874 0.0136175567849083 0.00233762483523976 0.00131264765262176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0220379523906756 0.00654273335377082 0.00204273211145662 0.000223442145324779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228426710799499 0.0147021617727011 0.00250804859994339 0.00138557582773777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0237524907465067 0.0114641342758982 0.00266771681082394 0.00045647253029252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252192475777416 0.0190363492121609 0.00403412296303577 0.0020200099744775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0519961724354429 0.0318998663249105 0.0160137504048267 0.00293794093453374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0452656493806528 0.041280754359915 0.0136143993221909 0.00830021102937806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.097936449719841 0.051785323114256 0.0442350117017279 0.00792055928710407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0723749477849022 0.069730282865175 0.0272244364763411 0.0239316832281618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0149832335332547 0.00963712180612162 0.000900437142414107 0.000373584001138337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0149812352349919 0.00963869759816131 0.00090019406215443 0.00037370471662857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0154159914033512 0.0112064495254279 0.00100466925565376 0.000523646570167378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0154153767540692 0.0112077262586357 0.0010045875225681 0.000523781478338701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0187235964672634 0.0170389944335947 0.00145261216699767 0.00105411931673369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0187256360659674 0.0170398469313645 0.00145297999157274 0.00105433459184388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0297841802498479 0.0310356270065089 0.00330599764113732 0.00294248242773072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0297912378765167 0.031035031594136 0.00330851076604764 0.00294303351345273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0820293432772816 0.0888392924976155 0.0232854234868266 0.0183066851876502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0820816529540282 0.0887991466176536 0.0233450013487461 0.0183033452924343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.137691478590793 0.146548723959394 0.0678470055308166 0.0423950242480981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.13779361831127 0.14637360428851 0.0680892972287428 0.0423421501693212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0259919636093878 0.0255038560394258 0.00258791404916709 0.00208466450646161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0259968662367771 0.0255044881453242 0.00258937273839214 0.00208514669763992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.047134712451774 0.0486763803549211 0.00775651946229325 0.00640365588051617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0471493931313928 0.0486723421019041 0.00776611534378958 0.00640529509021796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0920790079280923 0.0950606024644482 0.0293788676217864 0.0202552861590432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0921358868709967 0.0950189874854556 0.0294554543131024 0.0202555030198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.301199272341526 0.273634712978631 0.336088966933081 0.116768545786219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28664549270254 0.2870152194376 0.311362065090858 0.127694876682227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.584677067432438 0.399424422349238 1.14819774686917 0.239284521293799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.487528303635025 0.486688903890966 0.926965497750949 0.315550507127171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390425479957916 0.3879810668678 0.168336139341203 0.757152849989406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.008256497458802 0.00859071506270292 0.000274398707396605 3.00281684572758E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.391292048113659 0.388629707324197 0.168344104202377 0.759018090748364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00837287959105846 0.00876211697109134 0.000297496203723435 2.48256759257993E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.392236845554582 0.389225633663965 0.16868386033607 0.759591226808535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00997632519735019 0.0104854521690709 0.00041329450480524 9.31826038414829E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.396192076673305 0.391453485585272 0.169578148125747 0.761918210162812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0156894251149448 0.0165295255383278 0.000894656490698953 0.000409158796170921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.418722014165715 0.397860397463648 0.181471542992848 0.762040528766513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0430065842025309 0.0453679609223513 0.00558581384847924 0.00435213742422039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.444703549880599 0.398991527504337 0.204541515269527 0.747790451868692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0710044552687074 0.0748626534651914 0.0146954188167772 0.0124442527184231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395335801297512 0.391229768452125 0.169019468876417 0.76278023889949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135507265167801 0.0140225852558086 0.000694809275323645 0.000255978664986714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.403653795317174 0.394903204192843 0.171984580365288 0.766187001434062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0243501219204709 0.0251066716525727 0.00194391521999765 0.00116024586974614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.425998670117397 0.401636995929563 0.183362559718924 0.771645733437957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0472190195730286 0.0485617955154235 0.0066749818264294 0.00504671966917711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.515857171513002 0.398557864501343 0.292262372336902 0.7158207412837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.138851059404879 0.142247677783881 0.0561045926152771 0.0452452562477743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.617530152046564 0.397109284958729 0.480783434346787 0.688735437567179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.225662346958198 0.229858730415651 0.153520487752304 0.113357286149822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.00793010837198715 0.00095152183993102 0.000257239208048478 3.67058936791203E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00792975746323959 0.00095174487321083 0.000257215380599753 3.67230604714629E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.00927719392820715 0.00607061573556986 0.000360643189496398 0.000105414429757124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00927766318326045 0.00607931263904072 0.000360684923500157 0.000105855297570726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0139264693757748 0.0120643306610062 0.000721897396069209 0.000390537426381116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013935631115384 0.0120848160920757 0.000723054990646614 0.000391705861752669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0252762264817788 0.0240859447840909 0.00208625485735312 0.00148548881357536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252848882250027 0.0241325766121962 0.00208841915451486 0.00148867619001738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0770837770183917 0.0697690161981878 0.0184226242030767 0.0117507636895393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0731369764023843 0.0717897721971458 0.01627019603232 0.0119568812170819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142580059943392 0.108235088979316 0.0613707025898393 0.0288755403235794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.121203380307026 0.119137099565771 0.0460716773667916 0.0301827213552664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0213487669861171 0.0197820922823073 0.00153306212241767 0.00101983155673621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0213625324823634 0.0198231804567969 0.00153488281997568 0.00102242734511888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0410795334591933 0.0393926636062513 0.00523915094213446 0.00386513301337144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0409554388219383 0.0395018676249836 0.00518414889237212 0.00387414639322384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0866610509513831 0.0753882565692308 0.02332620852021 0.0138369762147609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0806022051895622 0.0783482943274382 0.0198558856235471 0.0141397567878206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.334554423122132 0.182322308561444 0.299632353250959 0.0877456688145246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.240558737252766 0.235290505252174 0.197574972854484 0.0993940496048079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.607280599412588 0.271862506975187 0.893833775038514 0.20188554972848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.402463161009098 0.39797870149414 0.589247972630013 0.244629456168714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.39463577387005 2.39317536316406 1.48960998067692 24.3115090115365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0254693241136541 0.0268539936422195 0.00260610058252144 9.47619212005181E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.39405112632457 2.39216703994911 1.49213430323886 24.2952755615812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0254914893057542 0.0268993628577567 0.00269087697248076 0.000101283812780597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.3940468167143 2.39111495744495 1.49430772940016 24.2760886637668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0269260107000214 0.0283507664658257 0.00308769869943821 0.000378087893575431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.38403341278578 2.37732147585983 1.52500757157291 24.0269543386494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0360788222474287 0.0379371844912659 0.00512787906722019 0.0015934459261235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.29635408095541 2.25860118443187 1.76115553439293 21.8938797548461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0896605459662049 0.0945263482303656 0.0253799822591519 0.0175961452998988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19786929424229 2.1130980556817 2.09053269847375 19.4020766954627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146589257148378 0.154540827471584 0.0635703303274659 0.0518613150901479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.38422726818064 2.37921119616655 1.51806688960648 24.0634503842218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.03220860557785 0.0340107498954735 0.00424057348283446 0.00106609958755619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.35927606029291 2.34568473304689 1.58658324242087 23.4528621166215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0522446235468668 0.055210184087321 0.00968315284439012 0.0048226933240105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.26735225624823 2.22337699578784 1.82906685720688 21.291953569365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0978509192276124 0.103646777043577 0.0298618100701835 0.0218011181208448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.08532794825689 1.87054885256507 2.86003022626324 15.4665469212446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.285489258319431 0.302691655956368 0.231480011008399 0.211945180160485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.1253506470604 1.739851024433 3.83484090373232 13.3505848656086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.468535911523534 0.496480953217764 0.62174268206886 0.573442836505972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.570109502631318 0.567076286549962 0.323208549086859 1.58529416260185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0125522271187566 0.0117181194928783 0.000634839394732024 3.89018687024263E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.571071141375652 0.567804816215404 0.324071832740393 1.58910322986135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012645655366187 0.0119281246692186 0.000671821827912517 4.32752302166749E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.572605334710114 0.569198682396427 0.32439479916423 1.59270793999365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141828273879391 0.0141888782446163 0.000848756048748366 0.000166976932183978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.576143168623158 0.570942023758884 0.326721150286692 1.59242485319952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209054445744068 0.0222549300307742 0.00164422452557559 0.000740019075388023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.592915627529579 0.568786042412414 0.354955132886217 1.54845619710731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0553016134268783 0.0608899879779293 0.00939192287207377 0.00791297235956859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.620980342875414 0.567808243178615 0.404715023397951 1.51449821352414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0909586472082086 0.100462620796395 0.0242665603631067 0.0227125546011142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.573557396609487 0.569118408411875 0.325444653584331 1.5876632785601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0179405251783264 0.018829090483076 0.0012706737094822 0.000459324425717047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.580888293143404 0.571637311570014 0.332247949452255 1.58583386362768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307456056352878 0.0337116911768671 0.00323165579110776 0.00209503590972925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.596340751036169 0.569600679203456 0.359417585097046 1.55040561714151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0587454030762432 0.0652624175744087 0.0105842552334681 0.00915259737774283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.709901422394521 0.574901550251862 0.573387584722412 1.50275313543098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.17215401048651 0.191603073367411 0.0863688153082506 0.083378817567126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.846822679739402 0.593587222601558 0.887759363522934 1.55127559916789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.281542985872508 0.310343490269498 0.236937019496287 0.211585656618896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03707258359692 1.03551413564775 0.626439082897257 4.88100508632331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0153591789599444 0.0136507738773143 0.000952004029959127 1.09223856516477E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03618635147444 1.03423418534017 0.627608023403575 4.87030326560823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0157704278972758 0.0145306741392356 0.00105317184772804 0.000107115887649362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04042619326217 1.03760610180347 0.629287189266553 4.89259311759171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0192473915766757 0.0194220178070263 0.00151139757797216 0.000425286513050944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04392419396968 1.03691937219033 0.639296224520533 4.87444167972055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307598264607706 0.0332154253583306 0.0033669745641938 0.00191420340189097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04987427479967 1.00643586060156 0.727171503041052 4.58168408902486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.084651286414878 0.0942338962487055 0.0213648648372302 0.0198138612585288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05696365851382 0.961504137914161 0.858107601922647 4.18079514572899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.139832510153303 0.156049789941648 0.0563638297701204 0.0561948236747925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0433914938926 1.03867201041806 0.634337660000903 4.89155326997185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0259307165341117 0.0279016422072236 0.00253025208782378 0.00122387045561434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05120547244242 1.03607145985987 0.658149770192814 4.84896617556736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0467511780508852 0.0521900248910447 0.00715856452642495 0.00550569268510032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05456093964285 1.00533960525196 0.742122991001394 4.56336686405061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0907990130120252 0.102408289699225 0.0246791190269607 0.0235927091111628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.14565991166002 0.925581849616147 1.23290075665379 3.80448359741813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.267722093814037 0.301650302179405 0.208280189913741 0.209808941590957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.31445675245475 0.920287755926352 1.93989334416786 3.68529876810093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.438139990012998 0.489577029856942 0.579052511036575 0.527569599782628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81624136406416 1.80843993202301 0.192206039956107 13.2631187290822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0133619112322325 0.0216489266182154 0.000715816918865145 1.38364093316624E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81518533694357 1.80706782406036 0.194960372184758 13.246285080073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141385676751028 0.0217139401031022 0.000851682951729504 8.10849635950317E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81230262999439 1.8034534020181 0.202638026613584 13.2014846556693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0190145338707867 0.02363348046399 0.00142561935898014 0.000323861160687299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8029305145002 1.7918056778513 0.228035916406516 13.0553194388919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0327520238123424 0.0336675802419758 0.00363744999482999 0.00141540029671533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.72222410712029 1.68548687950234 0.460045033676232 11.7257928106013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0932448962390804 0.087674736955638 0.0252010488029641 0.0155488784082528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62337853428654 1.53336280868551 0.784002369441465 9.89612263696597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.154504221664463 0.144223481964827 0.0672519993831762 0.0453799134545438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.80804739566216 1.79784502751251 0.215126440184926 13.1311141662438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0282248003606873 0.0295058305466952 0.00281360186951679 0.000915008175087448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78541444579597 1.76936629608711 0.278926718033249 12.772941538842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0531569934965044 0.0498359365439187 0.00878283424455886 0.00417783650955992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.70583140523018 1.66135713661054 0.509821326182092 11.4269903810309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.104581479560529 0.0948597478074631 0.031588534155024 0.0186571795953044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53123404786652 1.28421563153443 1.45925005583909 7.13417276993469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.309694797388247 0.278877843126105 0.27053157370936 0.176383138641936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.610976985447 1.16056696843743 2.34609946878282 5.85256103636368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.505626206971005 0.458144222970551 0.740548898320788 0.464415893198128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.204968173599567 0.204401375550216 0.40412741950894 0.528092388205147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.026954223883036 0.0273241435954632 0.00291557643233712 1.2148650983154E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.206584301046745 0.205230762276512 0.408388380686398 0.53181752599048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0269873673740263 0.0273651377427638 0.00302075906374109 0.000102770698005021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.22510472700859 0.221573285437187 0.446708592280933 0.589010242800087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0287564365043559 0.0288214273136144 0.00352129409428804 0.000376843324109502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.293819541319906 0.282819794581698 0.581998906094314 0.80748198702509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0393108391622411 0.0382060588534213 0.00603921196257266 0.00157716212456101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.721469394732256 0.652805513358505 1.35560276340679 2.62871238994679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0992575729202772 0.0941440321049206 0.0308714901817955 0.0173017691102033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.992483130257718 0.860458978270284 1.77758470215623 3.95870657551693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.162585799427762 0.153791844580745 0.0778653382036507 0.0509795248554809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.272934534523981 0.264588201706305 0.541241201216596 0.742554994756457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0350396264928432 0.0340350603582189 0.00498538426601368 0.00102375280532162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.439584722214675 0.411933483817823 0.86632494748518 1.35526724944078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0578595474942818 0.0544997022970302 0.0117620983691872 0.00459268849927136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.761720566409994 0.682135537214592 1.42153837409955 2.80131021387241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.109302754065413 0.101881228129383 0.0370000057877071 0.0207140193573985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.32593090899437 1.04565062834505 2.44573205328624 5.21333666290196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.319707239012266 0.29729654936384 0.29092835878422 0.200163276600224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.61710335717713 1.14170804764471 3.42245016429818 5.8410958658669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.523750872702712 0.487637071199617 0.783154559503263 0.536192495440734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.69029700686445 2.68655144630236 1.47920914961848 30.2556930100248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307600820293574 0.0328810969150601 0.00379945269475453 1.74373345933209E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.69175904694814 2.68750497732616 1.47625222172248 30.2749958852495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307586663931115 0.0328805588202029 0.00388220178349187 0.000110580475049362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.68497702170297 2.6795010523942 1.49601878544752 30.1218053686974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0315890211812149 0.033658814284298 0.0042397759210448 0.000389514071525627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.67211667200004 2.66300316323112 1.53815394188365 29.7957626900494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0391830645946989 0.0414703479491929 0.00626977459603426 0.00157387488726562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.5939051059681 2.55523781080244 1.82060661825807 27.6696596196359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0918658914805235 0.0963117638812484 0.0274681521581477 0.0172597200865265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.46294347996674 2.37557248513905 2.2740997416957 24.2754667662684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.149468101629175 0.156391087428481 0.0672814493214496 0.0515344756696184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.68956304531444 2.68167120324012 1.49060756491429 30.1572904785633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0358304387467136 0.0382797103513272 0.00536826042108259 0.00107268433564164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.66709292196394 2.6505702222164 1.57394068268079 29.536213626764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0545375302585913 0.0579526522394977 0.0109880152555574 0.00473385733173559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.57639654518019 2.531792423461 1.88042402637125 27.2150989517142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0999217607601493 0.105742394723601 0.0320034708120032 0.0215208778602534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.29646324277207 2.07703324747605 3.19583417900691 18.9615873778297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.290137894260654 0.306040991189652 0.240246603638923 0.213813667878458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.2977470823055 1.90482674165974 4.26305012169913 15.97216428826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.477041698056761 0.502270779993443 0.642941194819651 0.584096360691007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0223017628537776 0.000946337876383514 0.00201007416968371 1.67078084414479E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223033879121297 0.000947989747365775 0.00201036921443701 1.67467899518129E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0224173189419325 0.00633161255924882 0.00209631167552072 9.08436004382199E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224216146467101 0.00633200538585577 0.00209707773033078 9.08248478663797E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0242488922636262 0.0125865327177326 0.00248908213137221 0.000381922925117853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0242585076819511 0.0125870400668965 0.00249110399140103 0.000381838483487487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0333526075462853 0.0251299975437323 0.00432355823470535 0.00156321976200377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0333725478909019 0.0251356072274824 0.00433064522739174 0.00156416624377914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0842884379338127 0.075321471420217 0.0223956195763598 0.0140666429449283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.084340873281518 0.0753362494414186 0.0224885008664397 0.0140587021505764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.13811494551163 0.125414535543018 0.0570089965863619 0.0384340105409765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.138061852959548 0.125398954523208 0.0571505183226262 0.0383331440988079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0289132026045609 0.0212930091537585 0.0033919374703019 0.00111785753409263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0289303234466868 0.0212960170773891 0.00339684524266013 0.00111817275335931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0472022512521995 0.0425517567872713 0.00787119906309083 0.0045126246816745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0472346534188134 0.0425649859555649 0.00789217994048955 0.00451439523774083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0887625649337913 0.0850159587643778 0.0246263495589151 0.0179136119589667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0888094686770042 0.0850419534976214 0.0247388086989301 0.0179027450249202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.280080576964561 0.251299964444934 0.248342439613811 0.157881561476924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.258535792880192 0.252767837736389 0.197153545943285 0.149104531092617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.562873330799096 0.384524601344715 0.916187922022591 0.420034645539174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.420362475439342 0.413545352749304 0.537757038870467 0.369207260427708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0132467588411169 0.0084640643838164 0.000705834095029674 0.000288158639906971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132452559453986 0.00846512045229016 0.000705673136829786 0.000288230431264661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0146651956874858 0.011226923725316 0.000912513503256345 0.000502588722158928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146645962704063 0.0112277228425085 0.000912439408705008 0.00050267658049705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0209233030254936 0.0186939275540627 0.00170159044213021 0.00117798261995648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209238201647742 0.0186944475600157 0.00170175712994087 0.00117814897277353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0369938144827226 0.0352378971799209 0.00476050764030258 0.00352360538242434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0369960494929223 0.0352390915094304 0.00476208208381544 0.00352430204523994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.106033129324896 0.102644295578471 0.0384772805256562 0.022283283728903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.106048615057043 0.102620135282314 0.0385184855917058 0.0222824002899724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.17825126881492 0.172245283264154 0.114045184454142 0.0526000942961227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177712615684627 0.172725861298033 0.113454271004093 0.0530127758752602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0314875801553933 0.0296953165872552 0.00353829207349019 0.00260993303280502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314893308265068 0.0296954661756587 0.00353921719371949 0.00261030677432424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0597542449297896 0.0580052135758172 0.0120417678388405 0.00836584724434591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0597613031790126 0.0580097065258164 0.0120495372116282 0.0083689678392534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.11806409097256 0.115521372543795 0.0483508079752853 0.0271275286808759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.118087028911567 0.115514520623637 0.0484107171702623 0.0271360662841652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.403491622750017 0.328181613981614 0.587241030354946 0.155906280556891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.367336041042335 0.362657546100871 0.515517932128273 0.185726010220316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.78528544326358 0.468597746908483 1.94508786526889 0.330654567709208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.622532740741109 0.618950529719861 1.51881826469554 0.475689656119573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.375380123127153 0.373400066384833 0.154612706456778 0.701048847105007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0075072512777285 0.0075037243352997 0.000227055759596584 1.56585204309344E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.375489533712521 0.373110627279267 0.154657816333469 0.699336377071422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00858721715020067 0.00840538484730155 0.000310680692585396 4.61768271437345E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.378931434165373 0.375299786138146 0.155361965796781 0.703078898662535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128198639148228 0.0122662176095529 0.000615684414223947 0.000198708183080768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.386350659076555 0.378139090790438 0.158078429693305 0.704652249959915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0232706670978451 0.0220187215975391 0.00175937436740758 0.000901991512367981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.424871324041111 0.382362425076987 0.187725674064984 0.691032697350476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0675631355549752 0.063644380765476 0.0131903962678426 0.00907501408758368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.469699300502229 0.382760277927598 0.238908821762196 0.672430014982028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.11189416775326 0.105484656815438 0.0359044305703413 0.0251986447407268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.385585356546216 0.379165648233817 0.156857388107198 0.710143631015808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0192919717047758 0.0184447764377578 0.00125187428036657 0.000594779746334253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.400911635124269 0.38400340693059 0.164542968246834 0.713634599266963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0370690914702205 0.0353636220498925 0.00415157324574095 0.00263835286837286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.434288655638408 0.386146877941885 0.193674208973114 0.699514829035716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0732641989279769 0.0699278907836 0.0154315717116742 0.011063201181512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.582405383510753 0.386271923108478 0.422551379261399 0.654554635582113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.215061414532274 0.206457832411873 0.137230387626457 0.09227986838368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.759342364749833 0.409259563599129 0.830257386786504 0.708854491937986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.349052183588608 0.337903795397768 0.388411165933325 0.222531113190615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.00856302926556396 0.000760197749143736 0.000297001263315209 2.49006954006293E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00856280702013434 0.000760303493720956 0.000296985427143835 2.49077462363565E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.00970212249953077 0.00659247090818188 0.000396392336119304 0.000119749614420683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00970260344190214 0.00659250783069207 0.000396433793814591 0.000119747409839865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0141605352905911 0.0131275884842063 0.000759377639276097 0.000451797760776924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141619093010789 0.0131343846603982 0.000759593692044738 0.000452065324377093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0253636099825687 0.026204594185519 0.00213633935600709 0.00173351974242382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0253694601602478 0.0262082613389581 0.00213776185059967 0.00173338745128963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0778955913225205 0.075861008833438 0.0191769584197842 0.0139097995060404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0730949174863524 0.0778485583774847 0.0164423179376047 0.0140137657166877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14655317216262 0.1161837960761 0.0658070300618634 0.0337419002746734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.121318221595485 0.128310966541169 0.0467578708083402 0.0349858913250239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.021103948624102 0.0213357667533046 0.00153652560300301 0.00116859594184133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0211073347905216 0.0213445967236662 0.00153733178883523 0.00116881073432819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0404068067685488 0.0425632002699653 0.00515344979712143 0.00446235280578354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0403361489264929 0.0425917756488077 0.00512317377277007 0.00446139608346865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0859168744906824 0.0817248700546608 0.0235184932695413 0.0161787216226302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0795866070800473 0.0845471498470463 0.0196510844760087 0.0163674369129083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.346750407003952 0.194481787409992 0.320189513273959 0.10223439044334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.241408355063972 0.251312231502742 0.201861629552306 0.112999880897389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.635296245756262 0.286585141580499 0.960843961299613 0.231777945591021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.409327452056833 0.421617901664135 0.61589864977194 0.273417699630515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.42041632558412 2.41740558131795 1.48016753881903 24.7646783431342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0227584702072328 0.0273191806341285 0.00208329751839613 8.54805137838804E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.42196360268439 2.41826873580251 1.47864091579697 24.7810217073188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0230264543328021 0.0274319725377139 0.00223638950712944 0.000137874875673636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.41857001303056 2.41300761215428 1.4899327258593 24.6874000131611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267824495429261 0.0300323503577509 0.00298641525668699 0.000533251257319007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.4053748131069 2.39428146908147 1.53074311209759 24.3438069961847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0411378885538738 0.0429161752650033 0.00619255522503728 0.0023145061224455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.29928768761144 2.24367535454581 1.85996194493448 21.6443910183666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.111350601370836 0.111567514628154 0.0372005845201846 0.0253543699928045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.18776832332367 2.06550322893484 2.30040237248098 18.6284787497865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183854186464338 0.18333952762263 0.0968271947158638 0.0740854672976585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.41145152890015 2.40322886742535 1.51175966878969 24.5089351936081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0345725436087343 0.0378362291093283 0.00460300341501758 0.00154221066011851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.38016661799962 2.35988189410941 1.60700344596277 23.7159255943428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0607397353284071 0.0643812533191168 0.0122417949070516 0.00704315645158967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.26990846060484 2.2092935869869 1.92510763651422 21.0527820881817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.117067599439053 0.122862722258486 0.0408522509454378 0.0315068918178121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.1065985570483 1.83108565758635 3.20469228725276 14.8326786767341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.345470476476222 0.361669162043864 0.335027321202275 0.301138536004221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.21231177354557 1.72077000407576 4.50346190324995 13.0024095221039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.568527194043585 0.594986277537962 0.917878531848514 0.807594277778589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.55586929273565 0.553776498317027 0.300248713042763 1.50455411382181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111049396535706 0.0105173121640542 0.000497696476112564 2.23481657651737E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.555014775288476 0.552545258356157 0.300828177033304 1.4986606787004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118361067131461 0.0114174607178883 0.000596527842644332 7.27287155462179E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.557668852781322 0.554173948091614 0.303216122579839 1.50275902406045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0159218093625048 0.0159747634095238 0.000999774566614262 0.000310036412415081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.562973666548896 0.5553177925544 0.310104141832355 1.4983234509093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0273132662795783 0.0280604039619615 0.00254576281923222 0.00141412713731769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.594915117777281 0.552173738006905 0.368922967101018 1.44577777132039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0776352639608675 0.0804516715463958 0.01776270860655 0.0144912674375811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.649445636827056 0.557965686060901 0.462874547010609 1.44281158821029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.128592805522795 0.133309979209407 0.0477722637173969 0.0407358941013017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.557223458388675 0.550978301852807 0.30606305058698 1.48103597566188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0239490896565649 0.0237387639624186 0.00201721654229431 0.000937356027624263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.570054052185056 0.552718390834627 0.323637559655822 1.4716782584467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.045153816701062 0.0450690696938188 0.00634303571550604 0.00419591757225778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.606110014512417 0.553381104079633 0.386123333114229 1.4460077268665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0887977604042179 0.0888201859950351 0.0229874863780699 0.0177715959440243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.80193029577129 0.575985395818034 0.784274282368162 1.47262139824844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.261906481417555 0.261929518010147 0.201325577195718 0.152768025679809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01316909523934 0.607352960981039 1.40640805708164 1.58477417921381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.427057867621559 0.426223437982635 0.56624197553197 0.374476502285376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02792280390009 1.02417341278756 0.590452792077659 4.74754155242989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132204348606535 0.0151360266099192 0.00070358235071711 6.78741598306904E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02648587204836 1.02228064772041 0.591463843722214 4.73182602305522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141724949515392 0.0158744716925091 0.000854766644063725 0.00011201766573451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02785969786989 1.02233836008998 0.594927662120991 4.72781405977677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0194016232568729 0.02076509548509 0.0014717093994549 0.000456881166269525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03697329513918 1.02636353999642 0.60625200263232 4.7482175557163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0336691304503115 0.0350295115037311 0.00382988368189222 0.00206857596730713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05443952674572 0.997900351723045 0.71163053391081 4.47354892507478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0961783176102405 0.0990387120664694 0.0269983549555252 0.0216275523392067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07154233624587 0.953990251215873 0.866113698163337 4.08485360071844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.159401138513427 0.164012918117175 0.072540766548522 0.0613552250740745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03619319535675 1.02782307644391 0.598899227258649 4.7615556700137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0286045642269521 0.0295449480893249 0.00286715671228756 0.00132413835122602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04694875774991 1.02504811514266 0.628496223631011 4.71970066476111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0539584686201491 0.0549002742231666 0.00901334618557872 0.00596919484962196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05588243200872 0.991189902545913 0.73193537915037 4.41394608312936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.106124717102914 0.107548153148988 0.0326018600300358 0.0256266030066562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.16591960073744 0.895950808095611 1.33209090141236 3.55045223894803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.313708677820969 0.317635599123546 0.284011501794432 0.226961448583495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.3703116653831 0.891456327510306 2.2211428424807 3.44245829762116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.513144258700483 0.518274618506221 0.795543536597644 0.570032298788523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82953827238527 1.82475876690071 0.171497394099255 13.48456861094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142700462287986 0.0188242258673861 0.000819688431683829 8.34265198088822E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82808624958711 1.82291215729108 0.175500290065352 13.4617662579714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0155291063372474 0.0194553041285113 0.00102133696940712 0.000143586091318484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82316493362073 1.81712054409357 0.188472340441576 13.3882925522041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0216360495586908 0.0244308368442809 0.00180763519015773 0.000578099182484564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.80909413043197 1.80035190429743 0.227403367449516 13.1758799960316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0378936185496825 0.0401178559193172 0.00478998745880325 0.00260521389496358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.69615897299855 1.65093825743197 0.555932577182637 11.3056994159205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.108712216339088 0.112125912351066 0.0341329559434715 0.0275419767376582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.5872070410618 1.47374273049859 0.949551864381052 9.21356399867262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.180321797721198 0.185505351051632 0.091811062686716 0.0786722307888822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8175759384327 1.81000067245346 0.204808850870245 13.2977570175709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314308664981143 0.0339532336103293 0.00343996538746189 0.00165826845435628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78615660558432 1.77091005979926 0.294185734049131 12.8032226947254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.05960356520786 0.0623045389132942 0.01091274196064 0.00752838679548846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68126289261596 1.62623462084309 0.607424211519416 11.0045360086352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.117565222460515 0.121649837023036 0.0396215295383328 0.0326220867244994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55282990988603 1.26529145387253 1.69564941790396 6.92108656306117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.348883101749928 0.359205206931913 0.34564501473761 0.294356662335833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.70024274393849 1.17884652321388 2.85616258829863 6.00702335739054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.571110500983709 0.586140037542785 0.965953024682136 0.748186767186256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176175490899786 0.173288649475055 0.344396589642187 0.432753819961779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.026408055523538 0.023508210345546 0.00279175498813535 3.35429846456272E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.186728733916087 0.182846533343802 0.36807496529581 0.46586886192441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0264981790212856 0.0237245321821064 0.00294116019805729 0.000144481160179914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.216415071084197 0.210826306396193 0.429053207344026 0.556554300196816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0296272747397773 0.0276777534030607 0.00370888582061191 0.000585025496632546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.328404774649756 0.314139681682956 0.655219678793069 0.934934346253174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.043878540020624 0.0427009817774147 0.00722783554135675 0.00262375009341509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.829450359843229 0.744565785389818 1.53662180433354 3.20723643339916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.116616124452672 0.115858062540845 0.0414050072663181 0.0284468077720633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.09642077976201 0.939040333754065 1.96221119158807 4.52402215156719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.192057855353143 0.191213741894804 0.106806675509889 0.0822947465195926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.284312628672318 0.274206193173709 0.56588807632024 0.780714881748526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0376228292002466 0.0363186058188501 0.0055779211482931 0.00162653191895264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.508452206079063 0.475526237399581 1.00053427082674 1.66600886725504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0647808772773743 0.0641627561063255 0.0142721314566622 0.00744864385171572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.874325485637745 0.781033858922328 1.60215996776716 3.4489716526966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.124009099451048 0.123823730144203 0.0467885357879236 0.0328510016831507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4396776035818 1.12152713221678 2.74509774994584 5.83392037922144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.364751034508613 0.365295889827255 0.380617775463013 0.306300799464718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76488301963025 1.22045154024621 4.03787393877496 6.53857132114721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.599133981790343 0.600571249199215 1.0430624696285 0.808294275681531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.93056166092957 2.92407284136543 0.955075637518709 35.101839779843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0263162369200824 0.0322083976089204 0.00278556896220047 1.74373172370634E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.92719619975657 2.92021844600844 0.966830465001269 35.0232709125255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0264876841306499 0.0323200595487385 0.00293525570192696 0.000148313948173543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.92339264790228 2.91517828404254 0.983210463371463 34.9202392375064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0293895445202968 0.0341231397656111 0.00364542835976526 0.000545088260766399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.90132956988952 2.88899915924793 1.06515806713516 34.3766765820439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0426502381305618 0.0456100067923159 0.00688458044299271 0.00228667712982495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.72442112365064 2.67162209686934 1.69140862998343 29.9416729753536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.111740192868929 0.113302390183157 0.0382978224962122 0.0251128349125446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.53155361992037 2.41266117625711 2.39906561942606 24.9534074763624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183784175466653 0.185384064748181 0.0981129852233096 0.0741031718570175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.90704857781667 2.89620960638147 1.04193149616561 34.5288625957219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374508883251935 0.0404126541109931 0.00553701403549158 0.0014630049663798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.86229517446014 2.84074478336921 1.211430669093 33.3752427423084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0643531900493324 0.0649653484001449 0.0140870648683689 0.00657300230475378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.70090307701692 2.63963607163946 1.78187282520986 29.2997566901268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.123243270638494 0.121477616537064 0.0460171266280859 0.0296528722747823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.37327293704959 2.08266660270906 3.57800216136844 19.0195214915873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.363189938802052 0.354760139402244 0.37130466542699 0.288076272554918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.42371453713849 1.90828510521018 5.02545356865563 15.964118227648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.597948938474848 0.583234723396566 1.0115458086644 0.777715294324918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0194404550115852 0.00101254631324179 0.00151774752640215 1.62184447737198E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.01944142120697 0.00101397421447241 0.00151789860679276 1.62045092422427E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0196578640828515 0.00717362172068682 0.00163113039594095 0.000117087797206933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0196612291972637 0.00717394877874064 0.0016316595026614 0.000117070935556022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0228910627818495 0.0142695755347453 0.0021860002711523 0.000490517516968291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228978573387021 0.014270051861796 0.00218748201636722 0.000490448479600662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0352419662481253 0.0285001943620199 0.0045581006819064 0.00200376127889184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352546096898902 0.0285067114879971 0.00456389580838326 0.00200430227494789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0955625412362465 0.085434280216642 0.0276123368750444 0.0179757190664313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0955839440857955 0.0854515967453161 0.0276988614795976 0.0179686761343842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.157700318919897 0.142267834798033 0.0723228545048989 0.0490020745873338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.157595686961286 0.142250657543085 0.0724892685767368 0.0489069513840249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0300801172115215 0.0236396080066893 0.00348988581732371 0.00136994895204598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.030090784927573 0.0236449279379156 0.00349364739714037 0.00137014384015739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0533035741751179 0.0472489725841444 0.00946007726596026 0.00552224152653375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0533215098970605 0.0472505940417294 0.00947822213681059 0.00552157033522031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.103026886070325 0.0944364604522641 0.0319563134669323 0.0218814466039333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.103046961914488 0.0944408769661094 0.0320640377160191 0.0218663680770874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.338094736534002 0.27678638718388 0.356986436825593 0.193624865317036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.302099442888337 0.281022953072901 0.267277513551661 0.180704236095219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.667736595776662 0.413580258212332 1.22894687526219 0.492235621054889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.489054327627363 0.46010748582153 0.733739631642184 0.442025048105477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0156045645928524 0.0107103367715249 0.000980088311451693 0.000461428167316962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0156332810231887 0.0116766532226403 0.000984651678423063 0.00132769636959601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0165236895533666 0.012360597713094 0.00116206266846445 0.00063702751194276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0165611703023531 0.0133984254211085 0.00116759094693097 0.00152736025094144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0217958665411488 0.018696621434984 0.00190821467311454 0.00126431284273562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0218441450690451 0.0204855357764185 0.00191685819655121 0.00267026071161905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0368783342990431 0.0340397395546056 0.00486795548840686 0.00346962718588855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0370010928415902 0.0380769868397487 0.00489445820148967 0.00591673610744009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.10340518927108 0.0981345501518694 0.036773308387488 0.0208654797409656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.10418293154208 0.103281521980437 0.037700169503819 0.0233697661796987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.172899886805596 0.16520776026106 0.107059151099038 0.0490935397242711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.173800950699234 0.168051484224503 0.108854896631787 0.0506205681866044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0305532908938845 0.0286039386311602 0.00346997194289891 0.0025819338118143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.03065119151377 0.0314670304543738 0.00348947244637149 0.00439507649079139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0565593209455568 0.0546791466208998 0.0110090058571358 0.00783084744051496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0567700747883792 0.0601371035727992 0.0110961648156479 0.0104549315568752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.111152887872889 0.107772011230446 0.0428972665257477 0.0245653675752255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.111991905313166 0.112286872689596 0.0439003344982197 0.0268219616882243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.370065390233684 0.312089476296533 0.499619327645554 0.142428716308623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.34440625276514 0.337914606914934 0.451773669727771 0.164074167483011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.717058437855038 0.449858456815104 1.65980077615984 0.299456727715823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.58249488725231 0.576575980028423 1.32545983718337 0.417883720848242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.376744596916969 0.374527382040968 0.155171794235599 0.702945092959267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.027927477996822 0.0247273410435388 0.00491313861951922 0.00485516305199225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.376491491559879 0.373791674406847 0.155037548777439 0.700103376647486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0280527294714593 0.0250354166916437 0.00483410477179406 0.00488912308978841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.37801312146511 0.374208077073579 0.155317400983587 0.698634178235336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0300931584383852 0.0264979084193424 0.00480129228352677 0.00452341326532124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.385988266783761 0.377931144986628 0.157706930896941 0.703324412635047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0370870749544725 0.0344207397050477 0.00553781944413238 0.00489651795754616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.420159824723566 0.380111095709355 0.185375145264774 0.685061734850904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0725388671547909 0.0704950472157851 0.0163088713697244 0.0121184585630919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.462017172326823 0.380299594454493 0.23277964900087 0.666007897245377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.110635307651214 0.108135592475901 0.0361266158266387 0.026595429500509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.38401682771098 0.377628167293678 0.157388486513219 0.705364373046444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0342874404663616 0.0313612810480323 0.00511236442242017 0.00470873525286259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.397396410552875 0.381087359141403 0.16439226408907 0.704997340541122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0480874528995111 0.04573690667178 0.0080170428928746 0.0063177562489118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.429507682120467 0.38384913996375 0.191831410503499 0.694121174757278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0774488342045547 0.0756386637932153 0.0183216901669936 0.0135575698498985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.572917193416595 0.38849836321482 0.40294355482757 0.66365255949522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.204327189947838 0.201477315503965 0.125589642873151 0.0862764045556042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.739559603001307 0.410342640112428 0.770950001104456 0.715004575117446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.329406256978025 0.327382259818614 0.348111537711255 0.209581577867091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0104201438730333 0.00110428294176564 0.000439247806458885 5.21462019708992E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014361185633525 0.036796476666741 0.00136995359134294 0.00656623359181675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0109596256351329 0.00661053983187158 0.000513407065189122 0.000125154019486138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145285931241372 0.0402344548982161 0.00136529690980588 0.00665867053277813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0143073592247279 0.0131005851319459 0.000823779587566974 0.000462525825898904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0171831400959491 0.0424991551772122 0.00150440936115504 0.00696104517876428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0241452962935823 0.0261254459387805 0.00204827996768529 0.00176157879151504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0268947785761241 0.047936157660201 0.00266206350256465 0.00804390496181478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.072535480026842 0.0756846925783942 0.0170721789483103 0.0140195096681652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0741323094548456 0.0855327419024959 0.0187261828202844 0.0176817423041863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.137785211351185 0.115911461225424 0.0595453792588285 0.0339387860422921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.118252472926404 0.131063483468629 0.0463404877843519 0.0368475910218444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.021000664363353 0.0212158099654065 0.00159191080070174 0.00117857058356401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235986344460379 0.0458035776178864 0.00219440104347053 0.00744770011958805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0394442717535562 0.0421944058399183 0.00505402079721043 0.00447211751924139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0431436918569705 0.0580185187169374 0.00642693364735511 0.00974341587911041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0828221030680371 0.0810778774030061 0.0220530883044165 0.0161354375061749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0822020531498532 0.0912869078523172 0.0225323187337815 0.019464988657825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.334142623564208 0.189615179013883 0.300668359160899 0.0979990151318037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.235255657090918 0.245577327825568 0.192529424891653 0.10964952452446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.611513370535041 0.277096144805533 0.898589312599231 0.217165684554333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.398018085388131 0.407268625558263 0.582604924616349 0.259602595899662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.4172473871465 2.41256712878891 1.50583616804276 24.6817340867476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0296233325900384 0.032461418960793 0.00448398400642375 0.000174617389807982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.4145141308708 2.4092868102327 1.51332411279682 24.6263330989174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0298499535665185 0.0324871565902892 0.00463262222959674 0.000283367698716967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.41189456587556 2.40515756048514 1.52339483801687 24.5552853446933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0322527986360169 0.0340149414144185 0.00527832304862067 0.000634883172174265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.39766530173064 2.38637499865799 1.56485120061754 24.2160000833753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0454918302193307 0.0446208166979158 0.00877545312361177 0.00240696006884742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.28910487082559 2.23696662768414 1.87449470977352 21.5464878102588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.110025043176335 0.109186164662288 0.0378046137778205 0.0238049565686456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.18541751567643 2.07425650640284 2.2674478646237 18.7820967635132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.175168813847063 0.176337815355549 0.090319670187835 0.0670706200755491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.40880098601573 2.3992860228223 1.53714019430972 24.4461142968894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0404096910857379 0.0400420596166796 0.00738815983305411 0.00172333360952374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.37608067836076 2.35444735506004 1.62838935837846 23.6267191271951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0664999891772228 0.0638746809308969 0.0156780569251224 0.00680726719522991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.28040717109716 2.21923442235895 1.919650220484 21.2291947394534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.121467305623511 0.118149543869582 0.045110991290937 0.0282369097827572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.11054994808153 1.83762651519842 3.15854383832667 14.9475062346377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.342683415063048 0.339734622077116 0.333298905431811 0.262702142393067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19406931297964 1.71522214258859 4.36510963652145 12.9554111474765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.559896731052381 0.556621995325266 0.895039734865928 0.704495372334617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.55609146251988 0.553319843065091 0.300685252854216 1.49976201205814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0332899227367828 0.0219169805110799 0.00686468782747822 0.00399919568299259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.555620367056704 0.55240958487661 0.300843693963021 1.49519565151501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0335044942123163 0.0225725610510832 0.00697288870035592 0.00401077497488271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.557271666304469 0.553037442910177 0.302357265369464 1.49484278862208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0359845081309693 0.0260506187240471 0.00723181405209865 0.00415885161024672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.563596439413227 0.555100705728039 0.309442403994903 1.49599940274365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.043765987074105 0.0366036708919726 0.00823322017455668 0.00508914367375229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.598295599673097 0.554373696519993 0.366855883831819 1.45778470511934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0862575916485405 0.0831647199025705 0.02318416799828 0.0160920211595086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.64743432321041 0.555270653001339 0.45686831934755 1.4324618446127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.132425872268187 0.131642753514574 0.0512373859393915 0.0394351708791462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.561569505880589 0.555040193893728 0.307132524146162 1.499105720602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0402860345208245 0.0329565095444889 0.00755205678266234 0.00462825257543326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.569409604498996 0.552633162966512 0.323284266097935 1.47288425138788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0569272887777676 0.0525218260291556 0.0115464903330684 0.00753072492950762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.602129021045703 0.552255778518476 0.380512449689876 1.44334385895309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.093213140097529 0.0921289073172381 0.026364043388363 0.019482179613796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.786061550959027 0.571607973822014 0.751257894163915 1.45778141775068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.250561588450852 0.256293293412303 0.184352570868361 0.144625439433256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.988554116227422 0.603525445759731 1.31894261532393 1.57205301656191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.40690780437616 0.414083421776371 0.512942515144803 0.352679604853893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02797315233215 1.02433560289599 0.594452494383789 4.74453723729152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0270501997989659 0.0246036846567805 0.00550305688058081 0.00429853421125542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02999264011148 1.02578001217097 0.595227792412611 4.75666978599423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0275492299523277 0.0254088950614869 0.00548571866429608 0.00451518462128411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03407636766803 1.02850160945145 0.597160757249104 4.77502168170784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0315083174651879 0.029996655291542 0.00582910466114108 0.00512555580167959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04109892036016 1.03033119873455 0.606475910265465 4.77821128284085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0439353915421596 0.0448730467824957 0.00778874376548444 0.0077069238239399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05302523204361 0.997832245066869 0.708330914853899 4.4752395176243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.100211325810109 0.103809414388008 0.029712835538543 0.0254272731658575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0640355986298 0.949066304464288 0.858358101168827 4.05130079511404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.15890461612954 0.162316846830219 0.0721535494703737 0.0601502880641472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03365269970974 1.02517126468863 0.605445322633649 4.74288924647235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0388742894302476 0.0395235082537964 0.00690789280961347 0.00678447362977791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04430092820459 1.02351637830315 0.630405801679417 4.71026540016959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0611346857908189 0.0644930206884434 0.0125049287066563 0.0120597609903661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05307576068877 0.99205512540389 0.725704065675132 4.42562173219809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.107801125177208 0.111962350409582 0.0341144185942788 0.0294061180919764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.14853109338154 0.892223027564314 1.29036686192648 3.53252569538919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.302284377885818 0.306940016429452 0.26220908676952 0.212568750215006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.33851202752528 0.884908006059831 2.09673259851951 3.40784453336538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.491490113864629 0.496191556528861 0.724466448199312 0.528196858259705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83650637219066 1.83062136696121 0.1653110107199 13.5619808134442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204462129605279 0.0226677665880054 0.00303373216995603 2.57415195974842E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83600733357865 1.82980282941958 0.167107458174924 13.5521877753917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217437385573514 0.0229405905070632 0.00331762662199955 0.000176016561533072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83291114608053 1.82589438055111 0.175894057489282 13.5032256250508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0280416549222691 0.026488094244059 0.00427538480768964 0.000613386438830125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81744403267986 1.80757598275032 0.217588822378258 13.2715553579702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0448508410993797 0.0404861737827361 0.00755188859706506 0.00251923037993393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.70827439034734 1.66321334291209 0.537212596464575 11.4625453050621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.110841821484652 0.108517560252655 0.0364075232754958 0.0246220321853965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.59526933437505 1.48129820778757 0.935393677421185 9.30530427396974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.178703564677032 0.177998960699937 0.0917119791506805 0.0700251208583634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8267162139211 1.81805621171939 0.194142095383872 13.4036429926261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0380147440756316 0.0349319328904972 0.00597960613307084 0.00166395956627939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79527552524219 1.77947581556391 0.282526324408898 12.9140886317726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0649539194629505 0.0617531760039441 0.0135115167195288 0.0071759596632019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.69438947677282 1.6415353589391 0.583963517134091 11.1949240966703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.119320369944843 0.117720520358973 0.0414488677823971 0.029383094671204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54507281878837 1.26535933844588 1.65958562253512 6.93284970145502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.342891739965983 0.342912038096705 0.334993950302315 0.263649181328348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67225613357981 1.16757616496654 2.74767928932991 5.90365908265522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.558449886024652 0.557843558857675 0.921988607049519 0.670858801448026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.177819212836949 0.174661929183535 0.345205241250916 0.432773071341387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.028447779491051 0.0252996395313702 0.00325224719030238 5.08354792512432E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.18682432955984 0.182742705455609 0.365384044049451 0.46084397742013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0285523431394129 0.0254828647776531 0.00340151018986106 0.000216583761054931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.215966517126541 0.209902440786364 0.426233093697924 0.550833868690543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0310652011234447 0.0285862338113422 0.00410152077087488 0.00067649455193702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.316386173491201 0.302057836446717 0.630127176102583 0.885137276249717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0440456255813956 0.0431773448638977 0.00749012948641211 0.00316700454912492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.813135739475202 0.73053146236558 1.5115683535419 3.12232150671914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.114245494623372 0.114415759658199 0.0405022502526141 0.027812978497647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07702837391873 0.92476330143836 1.92853258269578 4.42224252773943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.18671069461856 0.183997907486755 0.102333964409185 0.0750578740608886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.281281754323112 0.270875676433763 0.560742085066872 0.767286701657882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0382296864074021 0.0373061047893233 0.00588702443379495 0.00192020635531315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.502356953550509 0.4692721503701 0.991679335128137 1.63606723707368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0645558155034637 0.0663573768991251 0.014478783662006 0.00891563526342573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.853342647770352 0.761317178997246 1.57749931243092 3.31781840242392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.122560283185368 0.12457225520387 0.0461768728968228 0.0337253388159878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41862034267031 1.10633542857934 2.70050955831777 5.70278601283786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.357472202786962 0.35731071470335 0.365545814774741 0.292256776997586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.73308418889569 1.20336734616649 3.9161828590681 6.37922687272727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.585660531089609 0.584963656473417 0.992258226730371 0.768517937702483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.93834258740687 2.93196502943255 0.945106578752001 35.2664273621936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302561625485663 0.0361724958242111 0.00392221862916568 2.99621698930736E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.93823633733195 2.9312947225982 0.947012163961243 35.2542700782967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0303971173762183 0.036164663195716 0.00409941732625465 0.000149058328154608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.93418702342215 2.92591058472097 0.963321981114955 35.145133249854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0329941837127527 0.0371970141845406 0.00493738723057864 0.000510734266928015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.91356185683486 2.90066620349447 1.04046084258052 34.6222482316238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0458515322206504 0.0465635657828299 0.00840972070055354 0.0021425665481984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.7384499432378 2.68630005037989 1.66078088219478 30.2374545938342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.11354492531496 0.111561853025167 0.0402916851936732 0.0243221780129807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.5517974284045 2.43563648620651 2.35104107466906 25.3836355000749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183706492958438 0.180204431817517 0.0993304323212684 0.0690042741541827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.91779867352238 2.90675208217913 1.02268631396706 34.7498740906159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0410722976688614 0.0429103000960734 0.00707971314403595 0.0015026462857608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.86299056289206 2.84089504435335 1.22001926637133 33.3847425104971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0675835166013595 0.0669483259964243 0.0159037655492099 0.00685966914686653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.69393722727198 2.63146467510721 1.80954339323139 29.1483999112083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.12517090625851 0.124318478271384 0.0483159234091301 0.0311782867137118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.36395526996195 2.07547442058147 3.59632105828327 18.9021730112643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.362204796798429 0.356226806483878 0.372705374078041 0.289900266417813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.40892753050493 1.90249509696156 5.01041554589218 15.8763704723488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.593588520704828 0.583127437863812 1.00424928715301 0.778476444623299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0236859220421536 0.00127369198748457 0.0022536449324173 7.20611512154377E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0236553727775315 0.0197438404389225 0.00224779157642185 0.0090217109075847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0237356840548842 0.0068395364009358 0.00234769708911838 0.000102771180076048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0237080089000825 0.0260027756777262 0.00234214756137416 0.00916870995495871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0257629215241538 0.0135049713717597 0.00281666388932204 0.000431579255447964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0257369011220549 0.0343947692536668 0.00281119535902263 0.00933326719926918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0363126658730813 0.0269128038265718 0.00506919585896295 0.00176974587520066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0362763975284775 0.048194229667061 0.00506298960045304 0.00943552823392938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0933438346906369 0.0805778688056826 0.0271112746455293 0.0159271231653273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0938192355382657 0.0914014584894846 0.0274928060151334 0.0214450509928585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.15316066673167 0.134062144418237 0.0693070310386289 0.0434208693359297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.1535007773984 0.139563268647859 0.0700033180276064 0.0471610843601856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0314735137048358 0.0224804309772143 0.00399723930091582 0.00123399253774587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314464165928054 0.0440287880497168 0.00399202138877443 0.00931774137570716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0526913714517911 0.044897344457673 0.00966382735523977 0.00499175857597876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0527210546229092 0.0623313399849799 0.00970212360251429 0.0116492771211559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0999898054984566 0.0896836398613894 0.0308390665020062 0.0198275698374499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.100446135809604 0.0994025883311256 0.0312522615925675 0.0250327805808937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.321918123096974 0.262939684979061 0.322734817680714 0.174965507902367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.291104402840354 0.267516583786143 0.248460759892981 0.165671478879076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.630643781216036 0.394018903030426 1.10552196621907 0.445631920672264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.469643238262202 0.434973423192586 0.671665495079756 0.402073561543022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.027272791821961 0.018793834819576 0.00320260269305546 0.00148838870905092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302066828113397 0.0965114256771159 0.00380683606284082 0.0782092780847494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.027517476627864 0.0191645475374711 0.00335498857610135 0.00160069929000513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0304651643704991 0.0963376935724285 0.00393137690866211 0.0773205034593795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.030135305238688 0.022436295267648 0.00406736511517831 0.0021250282812074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0328936766952827 0.100270389427344 0.00453228075845633 0.0775574171931682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.041854831916827 0.0341253822016361 0.00754548944621813 0.00412242091987651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0439406169069038 0.11026718051315 0.00735863753408464 0.0749044832752903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.104664536464056 0.0919458841164887 0.0435609192940028 0.0200448248169597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.106027566301472 0.14182878004143 0.040877616707647 0.068683782648198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.171256440545624 0.155096154641412 0.118109222848628 0.0457887545957691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.174116555156008 0.186132719611468 0.116155736466334 0.0905497603691065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0371644618253714 0.0295911548518667 0.00652910338667832 0.00326600087142842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0394117811658065 0.105490386430521 0.00621566135177019 0.0747611130352706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0605795248854081 0.0519068071692115 0.0165696420605799 0.00810768205971635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0615115235979031 0.120167130449735 0.0137870861915421 0.069967259184236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.112539889946583 0.0999173092551509 0.055020274965967 0.0231165238040356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.11371770391821 0.146308063058332 0.0482964639654353 0.072175466839221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.353339066430386 0.295710589483315 0.510793918971041 0.129576681687566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.33548299726723 0.338595752863596 0.460259911597467 0.241385984767961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.666555846588374 0.435347003649676 1.55331653023387 0.273048046901664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.572783098052505 0.588681178159252 1.44627292916221 0.740862913711849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.402108976948585 0.396320653754226 0.174147635145597 0.779511430800833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0422112081472987 0.0386009162732076 0.00873793861175437 0.00980619167540023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.40216337676594 0.396022163002306 0.174232191383549 0.778421120942566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.042048345418002 0.0382801690000296 0.0086822351934728 0.00973506668281872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.404943998509474 0.397605842555069 0.174723688981513 0.781940073853205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0427603234565868 0.0383573470892064 0.00858713977813383 0.00928580732350444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.412515155862578 0.40077600072662 0.177633871185641 0.786751755411274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0479502819479911 0.0441617682081626 0.0093098874092162 0.00934501475423078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448595764691562 0.405410913819423 0.209618595432395 0.776593820288695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0828309776950583 0.0838006302087858 0.0252510063286323 0.0205148699112257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.485852149238335 0.400824792971992 0.269614015660266 0.740542322258999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.122980634127643 0.122129159156864 0.0552504800409808 0.0398542974856884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.409669007251301 0.399699696491784 0.176292442236921 0.785024425981497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0455819110389815 0.0418499724371593 0.00890630155178923 0.00941740995205247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.424118336490943 0.404327731180064 0.184534953722628 0.789686585614209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0574775957134029 0.0562236520264669 0.0123322898562847 0.0117400507505963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453687012772106 0.405076384652084 0.217248986880655 0.772435739095091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0881838169050582 0.0886207924191692 0.0284693829725368 0.0228764225170446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.587302373485928 0.39885165047116 0.501686991145947 0.70282596375217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.22007905076996 0.212634213387613 0.186647673046694 0.120980039932305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.746353261533946 0.416402454126094 0.97836864142331 0.735844865984305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.366621080454903 0.355461457545196 0.601850292003339 0.375678892711701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0179278871997044 0.00510079353169687 0.00139954766520868 0.000310042705123819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0284681510210054 0.0749575902372034 0.00470137642559109 0.0139763014300707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0182428762580658 0.00861977012901664 0.00158778323559157 0.000514857719572568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0280086211707003 0.0760407394490089 0.00463269188270776 0.0144464045051186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0202217872171867 0.0142811385321165 0.0023565216935228 0.000925606234377488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0287940893783858 0.0780375555530062 0.00464528007919757 0.0159520825833005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0285866038773062 0.0263139396008443 0.00699467166564764 0.00232544511714458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0350338029491328 0.0828892294559696 0.00550834759930214 0.0206439611944294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0768283908784359 0.0727355942608914 0.0433398308331443 0.013924941172032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0847160743310007 0.114458610101369 0.0294114034990071 0.0414335946516566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.138612060126728 0.111343351312789 0.098647762789714 0.0322214076610508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.130509757423231 0.151976816814005 0.0690565724573056 0.0664890390270059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0258543473078181 0.0226887907574794 0.00470219310989566 0.00185376671691354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0327092393364238 0.0813175666562276 0.0052250801537683 0.018624373936666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0434746224875118 0.0430498939645297 0.0140892610016797 0.00540016125455883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0499759694723688 0.0923631121656832 0.0100823811701838 0.0266133440404595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0877285972291577 0.0805781489783987 0.0502168333071155 0.0170188362657394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0929114579863151 0.119605505306958 0.0351722559846513 0.0432907779463009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.331486823897849 0.186210601944063 0.425171002646216 0.0952884876560677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.24511832553994 0.264055094881311 0.245529493840231 0.181996913920625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597010877426395 0.272734615081314 1.11222086407392 0.210578186821653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.420072169226947 0.442163638000679 0.818621170221296 0.520494316795945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.40285076528272 2.39239562806568 1.55908910922344 24.28330123049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0793048875193469 0.0605625903372483 0.0411466410347695 0.0119964847449778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.40358073406798 2.39279188584513 1.55816277585213 24.2908189438416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.079893851182247 0.0602939798457949 0.0417040448970226 0.0117658570815646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.39578388525599 2.38378506384299 1.57658043019071 24.1356017014777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0801610013414065 0.0608239962231674 0.0418187696841575 0.0120711422385134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.38174562514982 2.36552122845303 1.6087672376454 23.8112256652961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0849968843811081 0.0666175905602292 0.0425148927171393 0.0140620487728445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.30371352261542 2.25205951825464 1.82978100962303 21.7775981707424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.132991357123317 0.117077809085896 0.0677687980799404 0.0320339078801524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20131883449944 2.09835077035857 2.18351633956747 19.1463447487322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.187346369178569 0.177348561867748 0.119640505106231 0.0717382064154547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.38806731397483 2.37286064329925 1.59466888970725 23.9445957410753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0829705773443094 0.0632701406025345 0.0418262169457212 0.012693531801935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.35206894046703 2.32528337814815 1.68814303716073 23.0982119881368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0974541934478264 0.0797642660941502 0.0458363604945904 0.0177462800334675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.26749606343664 2.2059972828987 1.9375454235305 20.9945188437621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.141592177413487 0.126567939451792 0.0743422122643623 0.0390991330098396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.08419946614619 1.84531811829806 3.02561314584574 15.0398581315969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.344870153813763 0.336502841464255 0.392565087503832 0.288112925888051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.11605483661846 1.71072538716167 4.06025656343766 12.8601045513867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.574684087792505 0.564580604023167 1.20212681322493 0.889658899535165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.577456352332749 0.572728814013944 0.336339544470468 1.60589146363628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0543667442311207 0.0464881103761642 0.0146944311566924 0.0156726251853312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578651101180903 0.573421405535895 0.336917403771228 1.60938929587534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0539154876832512 0.0462343993938573 0.0145977994798356 0.0153350220150465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.579342988198175 0.573064184116415 0.337693866710761 1.60605986937658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0539751426594352 0.0474413605396033 0.0144236163551894 0.0153068054685437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.582396037740283 0.572228915740782 0.340879901521683 1.59404922444264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0582031477026491 0.0539808225146745 0.015013589056477 0.0154968226875805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.609999534120418 0.567326324434159 0.389454602215237 1.53572466937587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0982776616359026 0.0976427415960287 0.0346939549469384 0.0276608189643353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.650625779864805 0.563290607678555 0.469246688328656 1.48464588030934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.14391289861404 0.143340662162278 0.0723986388897963 0.0529051586102321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.584277721522649 0.57629197852269 0.340968320656752 1.61696851232421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0570023680558513 0.0511464706478161 0.0151188522490308 0.0155738671121014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.594719970169141 0.578150038983022 0.354099594574525 1.61049194477724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0692460442748687 0.0659507037605024 0.018943908700888 0.017222138562307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.61897005137329 0.57288710825758 0.407958015803378 1.5561161965374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.102600597035808 0.102574676726412 0.0379148493434035 0.0299601926529886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.777258990388401 0.579354645374553 0.766373120131144 1.50235360724615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.256588123344537 0.259157238585042 0.240277117605746 0.175886523304454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.952495496054831 0.603698723107808 1.28562154635588 1.57515282806676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.424451548758392 0.430429606133189 0.738661390452468 0.53563024891513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05789130173499 1.05269289365675 0.64316584516847 4.9992232208531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0727294838035081 0.0691751873970483 0.0270242535023913 0.0356416027191467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06151478207637 1.05569973332205 0.64250373054816 5.02393856601648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0724166233056069 0.0694804776408396 0.0267379465767323 0.0355644222288636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06513549316028 1.05781273759595 0.644396851393252 5.04146778706494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0722106006500913 0.0705091431566441 0.0261810347135838 0.0351174871284704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06639282487084 1.05414849489136 0.653434074595701 5.00519566708618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0749937080681011 0.0769736638484338 0.0253789020528426 0.0348551010066265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07309408833112 1.02074665363064 0.735534697771249 4.69310244394044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.115372742795733 0.119781000493126 0.0462661942729242 0.0432422066168004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.08251525821238 0.976967242507801 0.862791571889078 4.30008813306544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.165020561161491 0.172456193266137 0.0905384841739013 0.0760472826461073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06560135275931 1.05557010806444 0.646268416220551 5.01599098474053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0735023312921395 0.0743150309586033 0.0256529389277729 0.0348793851430085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06858339583941 1.04662710261261 0.671532064422167 4.92950501708993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0858252594371718 0.0897407893886629 0.0287122929990289 0.0359613911661401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07779139872818 1.01784622821057 0.755104457669831 4.66368254991732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.121721020157293 0.12908859547263 0.0503673122840707 0.0492489576974021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.15456618026211 0.916074034609251 1.269980236986 3.7366587922921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.303866769797899 0.309780650794239 0.325354649889449 0.243877902648823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30278245942567 0.892194025336854 1.99714815789887 3.47441993137199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.507828807254133 0.509158462372549 1.05387252279894 0.712400701691848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81320068977742 1.80309667389461 0.229893046253998 13.2108000966382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0587406454564227 0.0419108034256448 0.0226357376140784 0.00488229629439636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81432509244408 1.80381979526491 0.228383406380885 13.2202279579613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0588999738827671 0.0421931228401375 0.0224196460916109 0.00505714837026037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.811821818106 1.80025871361791 0.236211249911721 13.1759515165857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0604447529481672 0.0436932115738814 0.0219335322915939 0.00562163205822913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.80358325961473 1.78889362401286 0.263165028596849 13.0330307077921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0679081453225635 0.0516104585583917 0.0220647013049091 0.00667425564095308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.72174076293796 1.67662548104016 0.527903521378607 11.6251549848179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.119989592775733 0.108792168636904 0.0495046330519614 0.0255940009759122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.61601382624505 1.50992148355336 0.916534866281649 9.6298701019005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.17998861936085 0.171451649878275 0.104950304568861 0.0660313944985012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8043265062704 1.79112523991587 0.255098354940745 13.0619927269978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0650228197895792 0.048498837014849 0.0219829314586524 0.00641152210292116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77715831544855 1.75635950950677 0.332165076202324 12.6248024348592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0828926211611982 0.0690562294473257 0.0270029660043597 0.010740705069054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.69156595035426 1.63859710047944 0.586517723161115 11.1617078193898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.129539437851422 0.119373663386379 0.056582117403384 0.0308507173834325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52839842176339 1.27005887337412 1.60147194418083 6.97740670552464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.337686046315742 0.337471591515628 0.376926300340867 0.278591315857432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.61941323971142 1.16913804042023 2.59448641180116 5.91641767747165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.564627946359688 0.561958469827331 1.19208144335708 0.822135078774559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.221843999024478 0.215007781038498 0.417848631696881 0.530516557683443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0466231709028221 0.0558743004630611 0.0108632588308155 0.0206956091926572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.228487555404209 0.220879967284938 0.432915172835297 0.552143453302008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0466747477054718 0.0564713636540901 0.0110281544057019 0.0211768458796458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.24496550062919 0.235483884980387 0.469046251804014 0.604814147659562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0474992301383974 0.0586394063935759 0.0114161505194598 0.0220638720267068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.322737395886519 0.305484761523164 0.632295555340498 0.869498561102975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.055587744779254 0.0695098205971044 0.0147324209485488 0.0255471675124641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.759185191263877 0.679192423332301 1.43160611405279 2.76872786792466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.115998769851909 0.125601739056223 0.0457332952564517 0.0419852095823359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0318069195508 0.884953787980636 1.8594366962191 4.10719037223031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183146607682842 0.187727001248149 0.106771677293303 0.0822074789112235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.289262942171106 0.276052284522019 0.563532913674704 0.755546215676193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.05206405518294 0.0645289833679056 0.0133653880806181 0.0234467522227269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467677041386597 0.434446810774199 0.923011203076618 1.43585785183211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0736544271818399 0.0865630539984732 0.0227557404626154 0.0290650718238386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.80412926068328 0.715357876333794 1.50466529767672 2.98977440076332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.125480851232149 0.135420604741458 0.0540372306498616 0.0486553419752367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36616726575617 1.07450973791188 2.54644298286199 5.41589657605218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.355094047601331 0.349319279084282 0.406946356226988 0.302344437676162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64959813365717 1.16971842196735 3.53283799959877 6.04910602471816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.599850334337527 0.585488718988775 1.27215710758643 0.927218577819559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.72194191040522 2.71017278047406 1.47269041599456 30.6861391720908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0611956802081413 0.0649439923430017 0.0219970240794429 0.0150121740385427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.7167180797333 2.70439243012793 1.48820677118 30.5757591236996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0615451745269163 0.0648108949159244 0.0222521236334593 0.0144882871618766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.71170462950591 2.69759499678342 1.50433904820729 30.4455333031464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0624748093912944 0.0655326827706051 0.0227319743602841 0.0152915709845914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.70587997282469 2.68649458109939 1.53323117036505 30.2301146711427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0684268428393781 0.0708436363274933 0.0246999400763494 0.0177671095814105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.60248856029819 2.54621953177119 1.90290692455625 27.4861144131049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.119812102451733 0.124985069421915 0.0522699315344721 0.0410877989066729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.4550850717853 2.3428667458249 2.41771875351202 23.6662664282571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.182050204688316 0.187493092733646 0.109715601509825 0.0837175933432564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.70746625077197 2.69061437652731 1.51881327504138 30.310223108066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0653266456745288 0.067805849697786 0.0233733082545199 0.0161855793536386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.68062055400808 2.65296824537074 1.61335016063344 29.5674500702268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0807786962229912 0.0840896802779465 0.0289041213526509 0.0226365051496498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.57859030238805 2.51669878078762 1.95445261944818 26.9147147273497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.125771226364351 0.132158892876187 0.0567837366276227 0.0445659392678003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.28868587792913 2.04460431156689 3.31347288197312 18.3712157404841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.337087392032212 0.34227469480384 0.372716445320811 0.290924960744037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.28140633377393 1.87586489012276 4.35816212747129 15.4363602024953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.569041641798647 0.570315198467693 1.1548060551598 0.882094427971404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0391775420409884 0.00424423691065885 0.00623703362015549 0.000297807400940592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0411739005362096 0.10995303621224 0.0085966625041899 0.0469926992758327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.039233639788605 0.00810864720368014 0.00634384863065168 0.000416264857951425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412168616805705 0.112506035348011 0.00870381901024032 0.0465805466125624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0398653746252325 0.0141044945327673 0.00683668993613341 0.000751852416595661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0418483811964492 0.115650602311642 0.00930873881381248 0.0455682003976182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0456178646029945 0.0267612879906934 0.00980701565619408 0.00208858772532974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0468201544522012 0.112913585876149 0.0110831948448158 0.0417735157934239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0949988626279944 0.0780555580105336 0.0350465504989456 0.0156434340837723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0945969737868135 0.126636965317188 0.032657181816793 0.0515153988102322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.152398280515406 0.128895718894966 0.0800282935052519 0.0415262081454578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.149214785740731 0.161562926103361 0.0723665780573578 0.0772925871041345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0424948544909799 0.021942007519345 0.00787138281176909 0.00150361124429813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0439675667720153 0.114906365352775 0.00997196704268171 0.0434514655113621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.058393974670588 0.0426539532748251 0.0146118022634735 0.00495606136106047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0592530756117473 0.114921163638391 0.0158307370245464 0.0432603993388472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.101500194867827 0.0839369105969016 0.0394056319214583 0.0180554263701611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101359785668757 0.133404821220853 0.0369161321158838 0.0568976997443828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311583707700139 0.242460675655454 0.324453919857443 0.149550241663039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.284046902337981 0.275569867913249 0.262779560557697 0.224385365526423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597842775773703 0.366426270019753 0.997050197814933 0.382083858185066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.469901531331055 0.456211801055526 0.807747157404414 0.668577096067346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767827440931189 0.785894010927817 0.381458028427799 3.19020284731592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.282495085346043 0.28205530003716 0.170292338212954 0.461348980402692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767760736352765 0.785927008847017 0.381352047519404 3.19040140972563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.283050101649549 0.282333328102798 0.171113553331229 0.461648326587193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767755701809115 0.786149373419218 0.381488609176357 3.19193294208639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.283830099066137 0.282718968664687 0.172636100081638 0.462856331191157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767580827829994 0.786184265548336 0.380968895634177 3.1920660803065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.285696293453354 0.284255314668406 0.175775211456683 0.466389686226212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769654478893954 0.787740579799238 0.385760800879041 3.1968585639529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.289510054385325 0.290134793561505 0.182169035829876 0.480710662722215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.770614267798083 0.789266372712889 0.387710950193589 3.20394379878591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.297301854100626 0.297292828313435 0.197804896036069 0.498640183149859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767163201369097 0.785627437125019 0.38162991691979 3.18813353544621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28410972676095 0.283063997259948 0.173030369065827 0.463416978515449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767822723226002 0.785391042935809 0.382921770213633 3.18649515559474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.285706114685523 0.284701079665629 0.176206671712765 0.466270945394962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.770279001702035 0.787053837042468 0.389572805688283 3.19324850004501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28912847297097 0.28899058960056 0.182343647995276 0.476660790579499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.780360543943927 0.793186533550402 0.410470723544703 3.2187636392911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.306662679644023 0.303799300964756 0.212410709692066 0.513148546514054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.787256013162795 0.798711491541069 0.415279781676256 3.23602583038532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.322876383991249 0.322352832112003 0.236095458081557 0.562515945139572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64117604555095 1.64612789794871 2.08300479439181 13.7439468902358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.895678251661582 0.896445568333959 1.73706490789712 3.84664618684343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64114525074564 1.64705412482833 2.08454455136702 13.7565964195587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.897385367575734 0.897952665180874 1.74340642572768 3.85627499608074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64169574051468 1.64768572484462 2.08830335017736 13.7636357692616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.897984092378695 0.898898735073559 1.74124058077698 3.85893222959673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64093872472701 1.64819078950268 2.0883739296283 13.760148431286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.90069819832953 0.902334533385725 1.75937058774374 3.88602344844505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64616629836385 1.65395292397666 2.11283587249712 13.8185048236864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.909614596598457 0.912892738702674 1.79458563547101 3.95917411693753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64887993745997 1.65530942366182 2.13896970419006 13.8190732088447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.917073303185594 0.918965796391693 1.83667413916554 3.99557603799441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64478574259714 1.64818171441718 2.09322285954756 13.7604315778075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.898653435473193 0.900230909914796 1.74741649408581 3.86477916690234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64493029801425 1.64879447330574 2.09927775999313 13.7606531809532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.903083029951034 0.905763176075604 1.76527174964015 3.90924387016333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.64813606715654 1.65166367745593 2.12123786434778 13.780215201718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.912663275197633 0.913382131272922 1.80507868652114 3.96030926347552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.66158268390872 1.65968334822574 2.2071145408149 13.8273235624335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.938786187837684 0.944994068278807 1.92282928102534 4.15801978487516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67332943922931 1.6703798781122 2.29055637595599 13.9172133362676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.970261714109189 0.975180034631195 2.04496038416641 4.37022471710872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.78553619725972 0.684162663937844 0.766273135045816 2.89358000420089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.215337397088823 0.21459970394827 0.239395265571011 0.269472180558444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784241825790413 0.683748618228587 0.76409885248361 2.89046676406875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.215811945391676 0.215362062513472 0.239900550639405 0.271311451836285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784684850675328 0.684163196725499 0.762873718846908 2.8923202522093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.217076608274449 0.21766905204791 0.241317431181861 0.275457035462517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784714261782743 0.684532630537915 0.763685923370027 2.89364275809376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.220350360515269 0.21939227257377 0.247899094858765 0.282292791226905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784126053026782 0.68446514402792 0.776165640603256 2.88948682036199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.226637693139404 0.225274422655332 0.259261983218859 0.296416944331136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.78373185213822 0.684373827720006 0.776854565280611 2.88238217598638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.23104199760783 0.228790126690961 0.268074626195401 0.300689490172839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.783175190783417 0.68388791850584 0.763955785306813 2.89092770551245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.216819573261614 0.216991526491721 0.241227330849941 0.274453791992919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.783547689127365 0.684132838048414 0.761168118340591 2.88932969904265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.22052966383701 0.218854275030727 0.248261433849666 0.276704328967902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.782770801133311 0.685557298749325 0.775011787114477 2.89584524556787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.22758034788836 0.22394384901517 0.265167331640306 0.288304588184367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.77814506371946 0.687753769643989 0.7818826091851 2.88980132324017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.243182622616395 0.239008303826114 0.292566088362554 0.32776318568873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.772861374113122 0.689137657966544 0.765575862131276 2.88147968241479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.25888498603765 0.252336981890345 0.322337971614654 0.361613188511111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.906839531758178 0.883455348086784 1.31125632425688 4.70419512228481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.181539899598638 0.180812950283259 0.190887101704629 0.232529610734779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.906654843474876 0.883171660873792 1.31146345966284 4.69975625712738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183317293356875 0.181155621049516 0.197361563181757 0.233395362273171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.9063928699217 0.882961517073462 1.31116579742377 4.69714428869381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183880036215931 0.181158952892362 0.198357474870466 0.233401517821571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.906552917886193 0.88296383678054 1.30831678771464 4.6953704426386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183932264689287 0.182675602332439 0.194975432084889 0.237719963624524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.907179974964469 0.88371104383348 1.30049572203191 4.68673184715704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.188472411507497 0.189219740949243 0.205835006601398 0.260457726586918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.904991891398316 0.882666789995895 1.29410625302803 4.66967488394723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.192640637844672 0.192653751088986 0.21231829046494 0.270153817573924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.904222339422035 0.882703626378533 1.30220218332041 4.69318550451439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183400568839954 0.182903668353238 0.194456022939813 0.238240495139802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.903993587237414 0.88195137483021 1.30044815324465 4.68359471498078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.183798035239758 0.183035273917544 0.194618532742164 0.242063391675723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.904486661114264 0.88243393903299 1.2924239951753 4.67760740632761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.187580382375856 0.185969410003183 0.202902747494499 0.25017479585961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.905842126259732 0.883279710905713 1.27986588983477 4.64670225218853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.201177640353911 0.198949076807023 0.227658082514859 0.286797118514752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.899177685068382 0.88090315623832 1.2290338099417 4.58153494464717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.217258342784252 0.217431807437474 0.252589293245679 0.356660252818834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.945115807144221 0.976839205129689 0.799707132785229 4.85753197024341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.333866203528938 0.332225330339283 0.208802597283497 0.533370881248976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.944553861399626 0.977007569173565 0.798795704997831 4.85725110398665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.334945878393417 0.333838361366222 0.212113194336078 0.541372594146496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.947094609955603 0.977655674776354 0.803870729652561 4.86189405497507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.335543626756912 0.333495623878568 0.213975801589278 0.539060258858451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.94643528274816 0.977047299517558 0.804953997370989 4.85552129674902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.335160134902498 0.334273896830432 0.211080299147624 0.540335164724453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.952560159143722 0.983116103216769 0.809738307724133 4.89142635536792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.342026971768225 0.343831559068287 0.226527193966125 0.569629471529436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.959770317432949 0.988534990499278 0.821834886439348 4.91740256237927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.345763493056593 0.351546433316191 0.233187246750875 0.590475153988907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.948753315394356 0.979360823018807 0.802744201047351 4.87226997290906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.337173460340543 0.336457797578031 0.217185666352804 0.54843609893197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.952063063500311 0.981525739910555 0.807370204599852 4.88441814728264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.340949055585147 0.3413618786966 0.223502998736869 0.563696895443391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.957942968342257 0.985897517699653 0.817694795421672 4.9115172581409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.34471838735986 0.344971750586914 0.233691508776837 0.574928183955846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.967971435841471 0.993920252711138 0.833196832063911 4.92574753840999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.369741780073152 0.371411925846162 0.289428918574025 0.655574840506718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.982216456971191 1.00737023678003 0.853685365984213 4.97814351483435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.397094349693724 0.398040459833306 0.34611594394745 0.74253459280103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.998577465627075 0.819508781675613 1.07579339851981 4.56824385518403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.407674427145394 0.408661293480339 0.753474478589169 0.853482739618493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.997706270182797 0.819622541063221 1.07506912268199 4.56898369802449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.408278013126976 0.409370738249252 0.754957183639287 0.857735693083207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.99725126349769 0.819688336815183 1.07510223317525 4.56940305860127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.408365273701186 0.409493079726245 0.754695658235405 0.858067214255103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.997125198710676 0.819777561667531 1.07700659743213 4.56971355465741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.410096880374461 0.410595831955448 0.757286223089401 0.859914485510604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.998597815922651 0.820345270133259 1.08572755474947 4.57048798705493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.417697868328436 0.418906571243481 0.775337416687362 0.887316436786958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00072027996497 0.821232630137349 1.1073840023936 4.57385481918221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.423992586678699 0.425997343596333 0.795623312865473 0.919136210965087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.999302251310095 0.819392746465252 1.07745219320243 4.56575436352159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.408680321012182 0.409810265405198 0.757278608409157 0.855283126987775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.998604346661536 0.819460018843107 1.07717241161149 4.56560412082382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.410051819027369 0.410446567755785 0.759740263013301 0.858423151712448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.997864677828461 0.819815608220553 1.08564905996915 4.56604747577136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.418409933569715 0.418928599799615 0.778987086486719 0.891126956677916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.996107058452062 0.82143783094959 1.13176122241175 4.56476394216036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.440534196582531 0.437527957221473 0.838593841433345 0.958407830882727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.997042843961161 0.823819556767377 1.17498903149753 4.56957758643397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.461482229855741 0.458042319858766 0.894987339808381 1.03624212876348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.778045319734329 0.802221508298412 0.394051854313577 3.42434511167859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.266399545684133 0.266242704796877 0.138692263387804 0.39778221178057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.777864948712309 0.802357467918652 0.394092528036632 3.42512283541645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.266803875267134 0.266382095239312 0.139551161031567 0.398113119291398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.777954206813592 0.802518424571535 0.393934676719591 3.42594553429686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.267257702034005 0.266683987190404 0.140065863460049 0.398652553136585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.779405544823229 0.803098924366963 0.396644864633511 3.42722703674276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268916425688481 0.267945553664528 0.142629239466098 0.401673557143363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.783093836483279 0.804559584644974 0.406985050346594 3.4312082671017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.273089862053098 0.275088818287662 0.148746147917695 0.422391322897264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.78409537445758 0.805693381045876 0.410060477340347 3.43369562847009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.277579474683945 0.279422235117987 0.157962663480181 0.433241990348398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.778189381518867 0.802977834955406 0.396199560428504 3.42958080880898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268514895278792 0.267322861640255 0.142449067617081 0.400696669734733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.779438395734754 0.804425758715336 0.39786922763296 3.43809581410352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.270809964007801 0.269159487924796 0.146724663437354 0.404802037036026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.780060493538769 0.805266611504367 0.403103206697087 3.43876789392441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.273768088898788 0.273362904593631 0.149831356526755 0.417139042750906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.789586191120301 0.812394919094901 0.416371239377626 3.45774817935095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.297627626392381 0.292328257265245 0.192520636600081 0.461950590470873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801033071354338 0.822487768640509 0.435957765076746 3.49683877796953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.317722826091898 0.316068850520689 0.22347289428086 0.526538438839907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55053477990619 1.32914937574398 2.31290540232652 10.0863465341151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.63583586031222 0.637497572150204 1.49738816632918 1.4976083680643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54954179925605 1.32869671120226 2.31020549647615 10.0777590650713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.637698481497094 0.638621529758622 1.50487212884174 1.50694590772317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54906741790586 1.32869754634166 2.30607600551634 10.0732752304165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.639410203092251 0.639385114162174 1.50884467551337 1.51321312539823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54757413934766 1.32825892474349 2.29988255852559 10.0622595951075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.639464610561721 0.641286124247443 1.50567205528566 1.53070980369468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54023449485313 1.32629775372915 2.29098993775354 10.0243870012903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.645422532056867 0.649724590117711 1.51754383179001 1.59173366928225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53661846274369 1.32530010285445 2.2853949862343 10.0022975288231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.65427310269988 0.656150421984626 1.541359778797 1.63735501932775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54804367369641 1.32850009290883 2.3168184746595 10.0742789068847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.641043767353888 0.640097024451163 1.51088244595705 1.51806303930657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54698071614414 1.32864509056359 2.31067831779419 10.0692914895294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.642285861950545 0.643253969919793 1.51563110404666 1.54539284757572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54204418377091 1.32681418259341 2.29898210288701 10.028007929186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.648761469509372 0.647072276705824 1.53336204844221 1.57371223667453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52938610732008 1.32329761839628 2.25061537841047 9.93290672358331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.66773147745656 0.660977044154611 1.57760409784283 1.68926184836408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51552010941009 1.32151931695052 2.2176537652966 9.8688739974803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.677993981252705 0.676203188796307 1.598852614837 1.84228449517007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692350234724633 0.697122092305257 0.243423417205908 2.77242896746769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.24367611175122 0.245478795420189 0.15600126779453 0.389066865635798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.693220208644934 0.697298187433418 0.245735504597514 2.7728169157561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.244832701245907 0.246612273770571 0.157974848633355 0.393134793168138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.693232860890357 0.697367969586257 0.246502015888166 2.7731494470123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.245686502175873 0.246804671887179 0.159952811149375 0.392691862952852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.694250531408062 0.697592442305843 0.248100040460856 2.77392674123066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.247048709004094 0.247462310833219 0.162815286139303 0.393457044291263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.696165575065127 0.698466865226296 0.254122825740863 2.77591809352476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.251526995968279 0.252592866190899 0.169851497190738 0.408538823943124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.697848518495931 0.699076701347849 0.259728033797937 2.77774929800634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.253139977713732 0.253911908679678 0.168669431305371 0.409805667462444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692731135643745 0.697372744989881 0.245772049915422 2.77337054297747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.244903194376202 0.246667047278691 0.157920029341929 0.39071170320435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.693292554917133 0.697488223216088 0.248439442742553 2.7728548309458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.247813981557028 0.249612055613438 0.163101228651807 0.399618081085744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.695793224265208 0.697986436670305 0.25993652615347 2.77368997193574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.249669017537446 0.251558093956503 0.164427041041429 0.404396744008441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.701401474151469 0.70074950848722 0.272697443466595 2.78249801129805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.264968019300192 0.267442582266518 0.182043555313731 0.439818842047556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.706472382214261 0.703355320651288 0.280768417865826 2.78801834089119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28098153268838 0.284496624771434 0.199770844664606 0.48089619977993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.511166337970117 0.531456637967019 0.162720221465518 1.45891063014658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.205278279516831 0.20543258464856 0.0564148742468938 0.208137274170313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.511559029665298 0.531749384427552 0.163231381792706 1.46012546463579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.205743233705666 0.205621399110191 0.0570390732651961 0.208417044287692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.511650531796168 0.531811093706704 0.163346101814952 1.46021078867468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.205706417245654 0.205993445121619 0.0568693120327819 0.209290760355189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.511884853222176 0.5321421368612 0.163440515488241 1.46071345386529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.205997906232201 0.206562100490528 0.057225646405387 0.210357923275352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.512422650229111 0.533199280887789 0.164048844717661 1.46240884143415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.208333059953697 0.20857810699973 0.0599468067782206 0.213762232481331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.513953021959743 0.534688852401447 0.165378118823573 1.46519071601988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.21171891927343 0.212150261176139 0.0643674340014812 0.220578155003506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.511416303998298 0.531735558216775 0.163589354932335 1.45992464619686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.206365073313274 0.205902801406466 0.0581485649078075 0.209441127240051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.51259550674817 0.532617398007216 0.164567620868254 1.46218634213228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.207225698025493 0.207075738470749 0.059190853180276 0.211697117461441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.513977170007334 0.534045977850495 0.166539434866203 1.46523753524985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.208672560687966 0.209852662687207 0.0607123980505133 0.216118452089183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.519605008225541 0.539309562577969 0.172298089506191 1.47616247596626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.220548634264758 0.219545562844511 0.0746860217530299 0.234060007772474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.523494280209315 0.543870862581579 0.177265331796178 1.48330630049082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.231729552465878 0.230632695544757 0.0854275455618339 0.255074465970255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.793266894888171 0.776826090232706 0.820667255285464 3.27617440064384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0486634906278723 0.0486234236371269 0.0117438406731743 0.0150357612188193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.792913805257729 0.77682431784099 0.819974925822354 3.27549365546393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0498098796376349 0.0496025786961335 0.0136015869068977 0.0167242930153812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.793098338709969 0.777033001105001 0.819240823976861 3.27596356252941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0502287495561959 0.0501862634955842 0.0141760253485004 0.0177653402234895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.793583422559538 0.777460964280451 0.818478177294452 3.2767640550575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0524171065265013 0.0524374563295015 0.0174141991145903 0.0207877871707926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.794877839108329 0.78010728167742 0.814151314110034 3.2857608912796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0590632513869424 0.0609695543225591 0.0266244553194729 0.0350428648554188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.798589346861228 0.784038421864114 0.812687167536548 3.29991493891574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0686344725364015 0.0699007779843076 0.0419958070279755 0.0499484010954108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.793271278897762 0.777204647211543 0.820901506426937 3.27638804689587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0514852034640021 0.0511138038425786 0.0162588408522155 0.01884619504509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.793801975093633 0.778122272016339 0.820323346540635 3.27894320284065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0538316350717606 0.0539469437849416 0.0200435426557405 0.0237944306011088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.795376725148688 0.780335494422018 0.813575264643769 3.28660148839247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0603424990696541 0.0593187924258795 0.0297277474547363 0.0323123863085922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.803736379379178 0.791092664358242 0.807069357539922 3.32154652318149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.091861875231419 0.0901433885348428 0.0741314024865044 0.0769600521930152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.811538683479573 0.800380724020541 0.793811932290611 3.34542263330636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.121396359042582 0.121504744322929 0.106839071167419 0.118647515216238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67192212984033 1.64670894074796 3.49878559347802 14.5475545470991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.26254247867806 0.263362823386452 0.310185843121058 0.433312710012107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67394556465022 1.64786734349231 3.5026389693249 14.5587693657818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.26570668908688 0.266470053896615 0.323722593815348 0.449120286161401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.6758427369348 1.64894877113093 3.51243152241229 14.5701601594336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.26770886483041 0.268481578880775 0.330349248943787 0.462026190754453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67778325546469 1.65009446713703 3.52617658789647 14.5789432218317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.272292369371865 0.272778218180081 0.349438971981143 0.481188635020656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68193580334369 1.65477703104008 3.51601504893444 14.611506975171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.291696621035994 0.292796631170589 0.427878948800641 0.585510358149748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68217387589402 1.66089631282263 3.52936950583126 14.6798351123215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.310752518443676 0.310579306767254 0.522246378892567 0.678094382561513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67512388994778 1.64940358647291 3.51081093563019 14.5672181472156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.272128774933935 0.273272537172012 0.345466733947626 0.484302476428493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67629425354318 1.65111144056136 3.52090054083719 14.5814779982752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.280729633657851 0.279734811291438 0.390227812659679 0.509208135693366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68271746105405 1.65719049137474 3.5368813109321 14.6520849890166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.295540949030818 0.295974901393555 0.478849651683565 0.588417881586874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.70079226384233 1.67770824254439 3.59161117877115 14.8514501844139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.349805960775969 0.35111135782666 0.728776297280702 0.893127962596951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.71519060570811 1.69705451397608 3.64146804850664 15.0318522875287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.407841481577356 0.40153580439676 0.980308356625806 1.13821903230448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.91526407501205 0.853702138406997 1.46431883059718 4.52638427385593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0871063969889689 0.0872189077825627 0.0609096692293949 0.0628498614812304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.915391500532107 0.853716591529768 1.46322234676269 4.52596086422961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0881628575828959 0.0882996036774067 0.0630990396964929 0.0652851028410496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.914726961810693 0.853496775359166 1.46107633831018 4.52436144754731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0889035766993771 0.0880594246570427 0.0646224669993167 0.0640624078530462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.914584320597121 0.85384056432783 1.45574018768747 4.52538999409704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.090055729351099 0.0895877453551821 0.066405970215564 0.0672744960900237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.914249465719877 0.855946782340379 1.44441418341619 4.53401430948634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.102798395298447 0.101913218536549 0.0957891340212514 0.0940494236883751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.913881809902924 0.858607304053891 1.43974162885418 4.5432860149909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.114395493037596 0.113321205242841 0.12292956244047 0.122136086147774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.913993299951151 0.853744492536063 1.46093983264569 4.52577915118085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0898267160039841 0.0894510407785302 0.0665827366670535 0.0670228020652158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.913622633770592 0.854381006627631 1.45479815612885 4.52787517962383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0931348597166458 0.0927767628508753 0.0733879240373312 0.0748395333578166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.914796121958674 0.856913080557106 1.45565058248917 4.5391252793873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.100617437820382 0.100965335990781 0.0910863017860337 0.0947039688466329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.917135420102771 0.868890130111415 1.43867833286579 4.59024992737711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.134688233610369 0.134836694147864 0.167953875715342 0.16211189258714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.916241644735982 0.879404988511025 1.41473164467765 4.62898527668342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.168958663147516 0.173379683044113 0.236974031024807 0.251964587342767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.967410565100205 0.946679214800864 2.18449069132497 5.75987977504747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0400562981771312 0.0400424124563272 0.0105380012230548 0.00806539158096536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.967109167141825 0.94638585437227 2.18226339314857 5.75628523396879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0401755556181063 0.040491417348566 0.0105797307493168 0.0084888306809847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.966597773344727 0.946234306945799 2.17788181483053 5.75318512679967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0405632170755334 0.0410707112537107 0.010753241855896 0.0092345867224949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.966014070565672 0.945911191695549 2.16400467639097 5.73724309903223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0421071488849612 0.0437653776045278 0.015721794322809 0.0174858475547044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.96524536154346 0.945115895225159 2.14060359433687 5.69724859742622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0504177155404446 0.0502004288084196 0.0340102053092775 0.0317508830221325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.967348719845849 0.947343001941604 2.12529913913092 5.69165569571584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0575868666044106 0.0570177541512545 0.0488502222715584 0.0418868999385615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.966943007809278 0.94692153504404 2.17106751059269 5.7528604170756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0418848064607818 0.0422521307662906 0.0127703321864339 0.0122198578685418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.965926758119668 0.946535149101536 2.1584661140753 5.73636812337347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0432549227673988 0.0451057635116697 0.0139788170247747 0.0195870892684088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.965680736987012 0.946398541091019 2.13978678685987 5.71272081001651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0480421839990701 0.0524036963761916 0.0230908213543195 0.0337383749192022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.965503357393658 0.950122612133374 2.06636600914143 5.6578343844401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0721092385587182 0.0765781636891859 0.0624612293903771 0.0663210296580009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.965833388863383 0.952667554708648 1.96302601215423 5.57949758422739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.100818495681577 0.106002258605738 0.10334015510971 0.116092626054133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.987558603631131 0.97053544781386 1.60543898794155 5.373856008837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0528863298468336 0.0529440133337093 0.00857317125959842 0.00946809154326099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.987635550535423 0.970831993087868 1.60362136675869 5.37539994203493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0536002929379217 0.0539408068225575 0.010079192558757 0.011862840184931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.987458467714072 0.970959922166035 1.60067774837232 5.37447380574475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0544702282662047 0.055053614739472 0.0117361829362624 0.0138895273435675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.986950766927809 0.971100976908672 1.59506890444525 5.36979494037206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0570555553641704 0.0577496654377433 0.0172564994602048 0.0206996570351692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.990431631874839 0.975476236749529 1.59492482991308 5.38720640240037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0656687038714467 0.0673864993571705 0.0358386366779619 0.0415792240337258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.990888975487178 0.97813097459235 1.58128659867687 5.38570793020065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0725246109483801 0.0760299535514897 0.047164787533732 0.0607405199124879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.987543095198564 0.970772678528427 1.59820080069167 5.36689201399018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0557733557598807 0.0564058422198625 0.0141633809122449 0.0169927001422335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.988975295083729 0.971852493547136 1.59405769716986 5.36719650863748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0586125645838072 0.0599874863023521 0.0194640708154666 0.0240533678051589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.991141018655033 0.974400351075583 1.59231918509001 5.37225876594008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0666458498838015 0.067438310782021 0.0390920653139443 0.0405237943656577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.999794871193954 0.986362472960504 1.55488519236547 5.38806263786421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0986773822824963 0.0995124003390788 0.0957439763335042 0.0997928777600142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00883243481541 0.998586760653316 1.51461784257354 5.3975514065021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.133687809030568 0.133935199489898 0.156956197487436 0.162256147651259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01802302958356 0.91114079412492 1.95675954262686 5.49681152772408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.11416342220717 0.113917915206249 0.0715972100989297 0.0672841341811576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0199679874804 0.911403709796986 1.97051381473553 5.49824133725309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.116814092470051 0.116455600485121 0.0814386476006938 0.073547496068407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01942633186229 0.911594103400825 1.96947601112137 5.49915366232723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.118336939500071 0.117524536896003 0.0861039381729719 0.0776424276441544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02048313592234 0.912199684760935 1.9701253637839 5.50234449523125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.122946114321115 0.121049456097556 0.100568889763986 0.0849414727442365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02288462919454 0.915550734997341 1.99708195598604 5.51902738458322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.135576402392171 0.133692072235688 0.131367611863634 0.111059778036832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02365384911405 0.918570336232412 1.99883630722441 5.53118305110502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.147892168585573 0.146647174306376 0.158217366675735 0.147649518516354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0181583207833 0.911721825936434 1.96661661896107 5.50019849111068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.121907370753986 0.119020686989234 0.0970285342652299 0.0789105933164663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01848388956042 0.912637634028553 1.96585228872131 5.50431305099937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.126123988706334 0.122753645277999 0.109286472173359 0.0889613712607706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01772792654966 0.915540145013988 1.96172737076092 5.51943863427037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137832998296713 0.134982195418528 0.139145318829735 0.116462968705459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01803224842452 0.925094224236542 1.94908474562443 5.55414194255877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.175974601708412 0.174128354076717 0.220019711620056 0.205293255303276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01753051579259 0.933668496108777 1.90939280333951 5.58091924571124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.212540174362782 0.210540110341016 0.297435088251345 0.292347947566199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.799716702585471 0.781532897215227 0.94533204588279 3.43538189953736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0398058269984737 0.0398164659901983 0.00477835622118729 0.00635134746963792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.800574363316887 0.782134440750141 0.946316029822789 3.43814633500891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0409814691683139 0.0406119370330171 0.00691522791397431 0.00791441954991948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801082021231672 0.782780248965322 0.945200279118853 3.43993989028368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0426713780728889 0.0428376848038984 0.010214705431848 0.0130205989465472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.802629288748094 0.784279801461608 0.945843138074908 3.44635752283893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0453692030567403 0.0437900571925714 0.015463834717487 0.0138747769947355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.804550973978349 0.787577156238951 0.944530833724227 3.45529182050351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.053974790454209 0.0520959355851682 0.0308049400880025 0.0276324369757782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807282822009987 0.79106572565153 0.943347999659731 3.4640271304622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0645625396870215 0.0615751953272893 0.047546926974964 0.0415423296762561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.803244537997037 0.784041319398506 0.950828073214237 3.44662273395845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0428104611400063 0.0436147473381125 0.0104122640756195 0.013960609767107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.804233663970802 0.785870447338845 0.95117649527894 3.45388237983613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.047124618180272 0.0478752498751944 0.0185176339838169 0.0215682118290163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807190011705675 0.7893892815881 0.955186413180018 3.46502186011889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0555673796257701 0.0546103259561462 0.0321878363240673 0.0307551296329821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.817442717403352 0.802071328266793 0.945293018904827 3.50059528664828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0845659812915034 0.0829591040391594 0.0699983893494096 0.0675154764922861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.825918109825363 0.814131713356496 0.921810994347273 3.52938504425219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.115163159162497 0.116624590369098 0.106417219838941 0.113617913294972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42754344554303 1.33953144295147 3.81004222182168 11.3715264463204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.172241230677806 0.172184105922974 0.186819002126433 0.159599523732454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42660647828061 1.33910063366006 3.80179602022089 11.3599574259527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.173377544889283 0.173567469878579 0.189773157569258 0.166516432450077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42527953814358 1.33856218707807 3.7953867777237 11.3512485580545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.174344425627234 0.174834295930792 0.193046486660615 0.171874626368221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42399608109207 1.33787447188727 3.78660507740131 11.3368361240182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.176315578856437 0.177491412967338 0.199084422673337 0.184096234656444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41915771887027 1.33497376752054 3.74409386342917 11.2690128408872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.184063142504462 0.185452699057882 0.227254899971428 0.21661940925988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41514505986325 1.33377117584959 3.70644315921246 11.2192192898729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.192701049796599 0.193838965434147 0.250777015920111 0.247367567602345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42641521541189 1.33858594254438 3.7924691821482 11.3438673225601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.17487376023238 0.175947636012169 0.194509510204242 0.177645531034789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42482667827882 1.33790655354725 3.7792452869831 11.3266330336066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.178298135774743 0.179206445441629 0.20688491537761 0.190443485720698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42206508054333 1.3364608404359 3.75500836343558 11.2856252185859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.185149092516588 0.186688661729157 0.230422480823506 0.221019425157197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.40997596904203 1.33386432163267 3.62477370620677 11.1461273606124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.211167930708726 0.209794151054794 0.307651568625661 0.295474404923465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.39798618800859 1.33061678597117 3.48089901046318 10.9764396042294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.239888123152004 0.239945365357897 0.383963696845231 0.409800849474081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735071759021968 0.708477207171599 0.769394869106527 2.85788701513203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0406256849866116 0.0406949211885179 0.00617943996886201 0.00782479404024806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.73538800706377 0.708608405503264 0.770007237101103 2.85828891374042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0413210217024343 0.0412864696389048 0.00718078601442322 0.0083835362351412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735714966605828 0.708852290650005 0.770226756132376 2.85899825101189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0423797826201068 0.0426357421763063 0.00878168552989052 0.0105958530952989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735964653901981 0.709458883479092 0.770445156968431 2.86076854636529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0449133564185309 0.0450804142720711 0.0118841069992419 0.0137653909918028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.736567317155693 0.712380529552548 0.768722079699659 2.8688836310536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0535248395795856 0.0540828801702256 0.0204317680012318 0.0248649892608241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.738740518996893 0.715386199519169 0.768421805758457 2.87679854721948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0628737743342255 0.0621499608310429 0.0306593084862218 0.0319321032876847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735574450185457 0.709184783533503 0.769655823953727 2.86014099797592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0449039947872302 0.0450482471062998 0.0121662268057854 0.0146582308872317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.73614981422774 0.710458936167436 0.76874085135327 2.86403488303255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0481711911798825 0.0472942622499096 0.0154088496436843 0.0162519018398733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.738891492205405 0.713093350444964 0.772741056911796 2.87156869464742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0547381672636016 0.0539585035523609 0.0225577775617054 0.0228845091475409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.743803333855234 0.722742606449286 0.759271416091403 2.89858232609686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0843831365076282 0.0840130805464293 0.0511796663622274 0.0559057024438603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.74998796089224 0.731245671681824 0.73948752743888 2.92051468502201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.114050783223595 0.113090709704894 0.0823769588598295 0.0878581614089042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.521426859708391 0.520791855408527 0.400446359060102 1.51297094676449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0208271946781611 0.0208218892575691 0.00117004094017454 0.00240528948120667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.52183243114228 0.521103755837848 0.400827468790951 1.51397656975634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212275668320499 0.0211103190624264 0.00165953556851156 0.00273181873327318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.522188947294706 0.521377454513735 0.40091813784429 1.51451337803514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0220337005946004 0.0217994511541221 0.00236946975047423 0.00360843766625236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.523182711155607 0.522415917737556 0.401442840949195 1.51737272632019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0237851928693968 0.0236801763656718 0.00401965280391436 0.00571386935026763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.525696866445055 0.525420373107466 0.401056853709976 1.52311916837993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0298271822412034 0.030080086815144 0.00790123509064078 0.0112456447890729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.528054563834365 0.528473471652867 0.400664576278523 1.52888477467536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0366824900039876 0.0370763478495117 0.0123381899348491 0.0157913982883615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.52276437712547 0.522099497663216 0.400844692840549 1.51679197335158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0228896336533269 0.0231188388377337 0.0032861625921842 0.00499762357648632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.52425637567431 0.523457864729917 0.401309915006697 1.52018944233818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0250546668024726 0.0256370572304905 0.0049558552321136 0.00711724253772018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.526797285738065 0.526329910144584 0.401365647413771 1.52663425559696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0299712362659952 0.0306607576717281 0.00786220176491286 0.0110622212400681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.535988389893478 0.537934727608548 0.396886334664375 1.54966247374499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0551557738028631 0.0549915204259376 0.0232328401561855 0.0275341731817363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.544631282578199 0.548137980937157 0.390832815313983 1.56631771961055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0820150071738251 0.0803056096373402 0.0436232147723173 0.0460784540282442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.66750742889483 0.631919119143782 0.744598675374254 2.25915427744968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0280567178252484 0.0236027992028767 0.00316656342882629 0.000586586107535089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.66802027648083 0.63299131771114 0.74554282714482 2.26477148586488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0297476872828515 0.0242553628958294 0.00652113790733739 0.000884880717205918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.668424202028135 0.634082597127127 0.747016645808849 2.26851788050024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.030467566218777 0.0256313820048851 0.00639194450505334 0.00168070512826002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.669275290985607 0.63669436524682 0.746400632430435 2.27611037450588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.034786349455726 0.0297256203175803 0.0107651722634635 0.00424094082895286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.678032417106468 0.650661537596972 0.752382710503081 2.32086163961658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0563207354789747 0.0507418181791177 0.031338281890614 0.0135601096326538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.689647548409905 0.663382732433213 0.756430691747371 2.35844699016595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0830653848555306 0.0781384688759835 0.0548981456941502 0.0301423898801793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.668360028379454 0.635050482712736 0.743569858755097 2.2696567138936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0326763981697711 0.0279567318943512 0.00844280945627552 0.00270789520562083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.670697091723916 0.640262446807879 0.744891475595123 2.28699922415056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0397372598351296 0.035361482216754 0.0145827489253753 0.00635392685656319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.679385956787661 0.651653074042112 0.749914283789609 2.32323489021349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.058393420092294 0.0533750016399929 0.0328792601304594 0.0144486908511132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.730703711917627 0.694524141386626 0.779666349123752 2.46434644173441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.152260698531913 0.145734661411931 0.136848407731504 0.0887974628323597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.786430726857027 0.73503257894756 0.837068619666404 2.6209005058446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.25807084526151 0.246799705076434 0.360554378319562 0.243605332265555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37442277985158 1.32193351561573 4.68816012889089 11.3692756249161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.058868524840279 0.0504665432362251 0.0152449372874194 0.00405179609874884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37576078409015 1.32276707876082 4.6862837482513 11.3719502156184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0606184521771813 0.0530327894863512 0.0197500333252183 0.0136146086557324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37895082731249 1.32368817576414 4.69613792823891 11.3733290409857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0626472650167676 0.0563186380416736 0.0278649195380411 0.0346036603861582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.3850562530179 1.3275921153749 4.71274398279506 11.406442685998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0679237730608539 0.0636585950665253 0.0401353120432946 0.0538641728798059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.39709915683573 1.34069412290707 4.69561032666538 11.4622235017354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0878863788072728 0.0889736018633554 0.0746014498615971 0.127635589320842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41423824805237 1.35620653072485 4.69876687412191 11.5303302882353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.112765768671041 0.122191023697051 0.115458622549375 0.210756149087509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37839671876864 1.32426109007401 4.67918082085583 11.3725770937778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0647519940858906 0.0578892159843455 0.0294663501243412 0.0262111588703295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38435688072971 1.33000890608335 4.67716099929884 11.4069309255933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0748361004674235 0.0693095873538418 0.0554793564267719 0.0524796154144901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.39680327747628 1.34252918080193 4.67319098170266 11.476218198264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0911906345464905 0.0911608971205374 0.0875729916161558 0.125978183316569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46099285722902 1.38958143239671 4.63764901393418 11.6374515568555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.180566813089098 0.206998746215453 0.247016412340136 0.409262081238549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53005974551702 1.43206566012681 4.60273464283272 11.7478948098271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.283614949069063 0.333769652462513 0.482203430051567 0.821606097091499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.747222759173316 0.720348480318801 0.9633424343701 2.96525056172111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0202734959457482 0.0243424583406937 0.00238714338747081 0.00092724226938509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.745836261493808 0.720576225628437 0.959996278719859 2.96502167550204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0219266316986008 0.0255737114431896 0.00354381220451467 0.00215541879011634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.746085385787089 0.721594323517679 0.958842090134731 2.96823631305708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024880789282367 0.0271327590973556 0.00628338715175318 0.00304908129656206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.74698165939755 0.723820458997244 0.957175654560941 2.97500557271741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0300722544939245 0.0309783288368732 0.00968356408832833 0.00465116750558167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.751738412333186 0.731961045266875 0.947741657804411 2.99575160229865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0553772845959835 0.055426630173186 0.0228428863658738 0.0196700258266062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.75939847604789 0.739261315213491 0.945497966248855 3.01467634387917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0841780535835693 0.0819666590718227 0.0429637296534008 0.0336896075039646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.746138606788116 0.72235504336521 0.957884094382956 2.96940119951917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0272627820182492 0.0292081031178529 0.00628147551633506 0.00444582382345811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.748325783763172 0.725367573351601 0.956628596363887 2.97727142060343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0376026623463265 0.0379530182193479 0.012692064266779 0.00846830865108867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.752263202296788 0.731395485863922 0.951195486536677 2.99229738280597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0583976179763695 0.0569643638154973 0.0223395397048079 0.0167514710327122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.781764247218135 0.746801263845113 0.960879647382241 3.02119777901909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.161597567607055 0.150289263633125 0.132664881694413 0.0888252602279611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.832958060733543 0.758376918584532 1.02793319640171 3.04604987882542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.275767618948271 0.252835243194362 0.385299718158293 0.234009805988225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.487638582108321 0.475137459722825 0.239518344886684 1.12392695119664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0184384442982919 0.0167664021982839 0.00235857499060876 0.000569998688265632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.487229449252752 0.475089275533963 0.23883671890203 1.12252638508004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0191100958060328 0.0173700469679593 0.00251057447620392 0.000680686060012752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.486720698834142 0.475402442867022 0.238222006889208 1.12180074372073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0203372566962429 0.0185926858045777 0.00263889185065493 0.000933323549710454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.486064211875393 0.476126201762986 0.237034093712616 1.11989425104929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0234478352788017 0.0222154092628512 0.00302852717218561 0.00167167575319339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.493410763739757 0.48374644536053 0.237471029463905 1.13170710132733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442997720302172 0.0431402121929526 0.00834601621914568 0.00524044766978821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.502535822479348 0.489375880742166 0.241859143917592 1.13842836284237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.069749025976404 0.0690322380641215 0.0196685570061017 0.0136369941523489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.487489982983823 0.477125575027755 0.238578016039363 1.12607453291433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0221918699151843 0.0204848143974387 0.00288523221381201 0.00123357495723967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.488153829565138 0.479279085287069 0.237871273534424 1.1268877596412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0291578895728143 0.0275552347507162 0.0041874599076226 0.00196431892174988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.495637890852638 0.484868094277772 0.239215848125653 1.13421685424821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0474231457690976 0.0462105845737803 0.00949967638678562 0.00582592337862073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.528949631966933 0.492793233090695 0.274506396784691 1.12084710296911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.140966620028456 0.136753005297821 0.0884270914507885 0.0600904185609938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578849281986331 0.486994788177927 0.37063700879008 1.06570212580075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.246633817560764 0.236482314065643 0.29811541494895 0.18789240661595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01168548880795 0.970133378902456 1.57265438011241 5.21156776130702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.035793401046413 0.0387100747784882 0.00488077672561108 0.00146887793587475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01198862427203 0.971323563569035 1.57322386019912 5.21969446157599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.037699994933035 0.0404699232451134 0.00914428843328315 0.00532518611380371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01367196471723 0.973611709444004 1.57413837619881 5.23416958762743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0393378204355898 0.0420179862507014 0.0125650440667176 0.00862353650583856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01495298252698 0.977160027350962 1.57337499520056 5.2530920192579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0441169513372186 0.0455068624530624 0.0207317866478219 0.0136657543627913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02070669827297 0.990740955666521 1.57216344077468 5.31743702900814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0656550698482216 0.0650428167943436 0.0456438808964972 0.0364467125484618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02665857112958 1.00103377618952 1.57335076646944 5.34241873841699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0932110972152248 0.0919942871238502 0.0776870200329891 0.0681387573988919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01607925598584 0.976550972662278 1.57535944908731 5.25160527248235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0416436724468729 0.0435885584513575 0.0161831192207217 0.0106290088456979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01814400715925 0.982067405808137 1.57979524944661 5.28040872246448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0481492223468849 0.0493376049038922 0.0240270749308672 0.0161534760133997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02326360191332 0.993066658680239 1.58375061676741 5.33051730747864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0687094804524123 0.0683899961182267 0.0484750673165678 0.0374173593724276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0503998993533 1.03258438947524 1.5909767653335 5.48201418591687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.166809214949872 0.164586675366925 0.200585539081453 0.154231116263929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.08769761448742 1.06832342335042 1.63625650948019 5.61942117721829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.277606522536086 0.267937259750992 0.477469600528627 0.339228720860352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.927927078706327 0.885653301852541 2.25125607963655 5.25064961538809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024733464633937 0.0300603869308718 0.00336262171833729 0.00146923857674327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.927260615586865 0.886040489586096 2.24984280333285 5.25199334760232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0264424234227606 0.0322461992547184 0.00562394234231571 0.00785982934641508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.927652294833371 0.887037914630627 2.25051960410608 5.25558696911274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0283052788435444 0.0340186757291465 0.00684479719416182 0.00939748442156635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.928690128933378 0.889596624584777 2.24928130997378 5.2656323873667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0340348711794273 0.0390446820244409 0.0132756949798298 0.0155106391747561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.936206334648594 0.9006570682334 2.24886672864722 5.30933726527514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0618615171676248 0.065363756820179 0.0467850185559873 0.0428386319634339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.946658672329831 0.911899415944208 2.24577717828785 5.35544848755854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0905734938488768 0.0926723126081466 0.0775472512597542 0.0713274974616539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.928121831712349 0.888829207999818 2.24426912737342 5.26320611032716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0317846334554135 0.0363677234131084 0.0105686179578285 0.00941487446961711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.931497350296691 0.893256817670347 2.24176840284816 5.28054819536817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0436098907363149 0.0459864798310317 0.028257680565119 0.0173754065901329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.939762573389465 0.902128308143169 2.24596930104607 5.31607257583119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0643135981335179 0.0662862623071632 0.0488180735608224 0.0363405454701306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.982688419863441 0.936471438926179 2.23321518362304 5.46203546206568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.165932210002537 0.163673225684341 0.19649899820327 0.157158139165518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03410680113557 0.967438918081919 2.25174028260754 5.60160357222547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.272200202720178 0.2707769767542 0.444652872775109 0.352584439516503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.703728609838835 0.667284840815097 0.811559798675537 2.50518309283135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0295010309575742 0.0275453390366773 0.00332601866082533 0.000648377718188183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.703724058939044 0.667408595359748 0.811359834706959 2.50485438034142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0310977122198926 0.0288778349182119 0.00638707629006323 0.00263818776556491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.70450844809056 0.668348799573229 0.814194071639554 2.50824780814694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0323713638344198 0.0306116567086436 0.0084639218990693 0.00562543031080028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.70559409743962 0.670646094281047 0.8151804325889 2.51640653742565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0380300943741453 0.0339351386659543 0.0175832066257557 0.00857980806675484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.713207083040934 0.682385175909052 0.826149028498337 2.55409665163098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0609794179959016 0.053841172660228 0.0423289032701732 0.0218004797598246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.726092151103834 0.695986293989826 0.841662647508749 2.60145368320834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0881410870021727 0.0774187830167932 0.0669866049437283 0.0326960398448644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.7048977458001 0.669717564354267 0.812141645496046 2.51335041402616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0348259701818865 0.0320731837125484 0.0119854670641067 0.00740694439914283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.708246935130985 0.674154298949599 0.820224162789174 2.5272496157622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.042391482891179 0.0392570621139624 0.0196999955706436 0.0128551440771121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.714852396576479 0.684056785993859 0.827407383784209 2.5585845524521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0622469546099463 0.0567918409322432 0.0377661024922498 0.0215152438123255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.757746505574164 0.726874473431508 0.858925621851034 2.71067976720348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158108660826164 0.144523186958301 0.15341307160314 0.0897138680990697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.810776891841266 0.770854634607915 0.921143709205867 2.89400167616716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.262858831683115 0.245186723452667 0.373499514122467 0.244684048080524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04173077162395 1.01123522153068 4.72609935686937 8.66612272657609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0454412459597976 0.038099528317444 0.0092756773243043 0.00273915791002411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04166526643062 1.01093335809854 4.71043902663766 8.6526260944444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0464094973435004 0.0400840410399514 0.0112710372528083 0.0169802628285963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04235823485457 1.01111179673817 4.70526112742342 8.64708430241004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0480786121205701 0.0406577944647418 0.0180754393995742 0.018004458374307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04410706488581 1.0125068215519 4.69375749116545 8.6429224939571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0514144478981888 0.0451109543280774 0.0264646943598406 0.0295743428166032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05506122595588 1.0234501709024 4.66058931019142 8.65008429066195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0728496032245511 0.0644498576292339 0.0646346799180114 0.0499535946517867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06898974099703 1.03441601023658 4.61725576665548 8.64122359290083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0980642509235252 0.0888626904410201 0.0953073548800477 0.0755939893277083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04385540296234 1.0127052302261 4.7087788770772 8.6564084987933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0505843916494769 0.0425055495134707 0.0258234607709734 0.011407969849177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0475946517495 1.01651326372964 4.70274780672327 8.66558341877578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0586791648973865 0.0504943342851061 0.0447833176135618 0.0301320334548317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05612393209799 1.02521740436931 4.69627642855027 8.69106617710627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0757355634667573 0.0663202674321062 0.0692494856244823 0.0396089806272477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12394819074367 1.06553945166052 4.60017621449212 8.77597558770703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.168555702971763 0.156917845465754 0.211041723956445 0.146264754556017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.20516181522275 1.10180596682 4.48226290995447 8.81076677567165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.271873046557539 0.260586929241851 0.416983704665327 0.332611321736363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.44745857006636 0.416853699503376 0.63258595053067 1.27860392441401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0245148613191271 0.0132453733841956 0.00267403061965352 0.000395385808166422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448031758661327 0.417965417989358 0.632051804716976 1.28084469125123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0259032957534289 0.0151551363980895 0.00416335441359451 0.00170504487770702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449114663202719 0.419802338869037 0.633240358603515 1.28422818232905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0275666583211332 0.0173323014149374 0.00593536884178548 0.00264972791884538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451440185516176 0.423900452310718 0.635658241307562 1.29163587400558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0310711423877795 0.0230744193609572 0.00829652407842455 0.00457366231674004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.465539218059672 0.44020977176843 0.643454877805358 1.32269545490432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0525495049112891 0.0480750989426244 0.0244522076720934 0.0153156338176266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.485463016667 0.456276684024531 0.652778917439621 1.35559398680137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0771394281676048 0.074588233041405 0.0391482406146567 0.028239456279918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449255151493211 0.421756824972167 0.633919061135139 1.28705566673446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0297989411505745 0.019870443548932 0.00793207836479208 0.0026084316871903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452999503674934 0.428226518871267 0.635023218782458 1.29868130921552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0365445465905167 0.0290098263964368 0.013413093164868 0.00563705546752794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.464902213008246 0.440882360203468 0.639150192256615 1.32230168739643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0549530564507223 0.0497830648980665 0.025609209579661 0.015088488727995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.530341321267059 0.489633083292278 0.66889020977329 1.42777415309444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.142255130426482 0.139072504518384 0.101427506650051 0.0804004091082051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.603221878986911 0.535756425313765 0.728920350808143 1.55009187834564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.23211998194544 0.233629217710242 0.241171749746354 0.21422350838319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451314833282614 0.434997961793648 0.346580599774492 1.07684722834456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146368439124598 0.0135163359646919 0.00079510931641306 0.000150863364463674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451882121467681 0.435618573678776 0.346655398176448 1.07839192710745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.015540885339713 0.0143986904949633 0.00181038878548666 0.000946865718157353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452442529941799 0.436562571538181 0.347053342466948 1.08056872186173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0165611827730208 0.0152347986324697 0.00239224634668567 0.0010801099738625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453755093712228 0.439578759621152 0.347567419550943 1.08752497651691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0201316646805761 0.0186335052079575 0.00376299821812795 0.00179148783388274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.465272423514035 0.452532804258738 0.350768933109945 1.11433929736169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0426857106845022 0.0405854828216241 0.0117250997741534 0.00744953454908938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.477750542049486 0.464633513794336 0.355946508760978 1.1381238910217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.068580576446563 0.0660016985975841 0.0244571351643015 0.0173669562657762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452781336121045 0.437909115769435 0.347563516993753 1.0829417672705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0190987568575505 0.0174118855197132 0.00359208336485724 0.00195510533479037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.456329850556957 0.442988769693011 0.348965252605033 1.09322519785015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267868951266544 0.0249318642498369 0.00608374098798987 0.00343961005899858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467210386700237 0.453794952967803 0.353869702916422 1.11546886334639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0469077741510479 0.0440239338431931 0.0145549498506585 0.00915443261313769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.520362236514042 0.498779786983145 0.392070752001409 1.22666637152277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.132222458487174 0.12861627897853 0.0791716735295539 0.0601079343198639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585496386735414 0.540922082844707 0.476462778455668 1.35193429197472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.223737840124521 0.219128538218089 0.232358813005895 0.169606767273583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769325379992275 0.784811120000337 0.383448185606362 3.18567327467747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268287145066601 0.26650477613221 0.15210007047886 0.421187058083693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769344919405611 0.784822135003795 0.383407824824014 3.18572353190633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268309432080196 0.266492774847567 0.152109142330276 0.421177601782502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769344788744604 0.784814084775089 0.383390311255311 3.18567888609276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268324518063319 0.26648485495428 0.152115827326303 0.421176198552384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769371263681283 0.784825903695375 0.383294980370113 3.18570786613647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268371003065615 0.266491965232153 0.152148086428163 0.421227165281076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769401059083028 0.784791504594599 0.382772256010855 3.18521079291997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268652557381143 0.266577478667099 0.152302148265282 0.421731612760342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769644163666271 0.78500893712171 0.381357581379169 3.18593684450613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.269215409042483 0.266978373112091 0.152554977724563 0.422752831829703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769157372369004 0.784781042878214 0.383607030849832 3.1856270048527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268218844156207 0.266466452347825 0.152110224324448 0.421056469415356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769278781283315 0.784926119338711 0.383103110412558 3.18602881656988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.269700625023718 0.266443371987481 0.156492992802106 0.421020708542053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769860464638781 0.785369399839979 0.382524193640134 3.18863749129553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.26967008147438 0.266546682104135 0.156533525197965 0.421213140698983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.769026093531539 0.784086451312567 0.379040417938201 3.1773526443733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.271049261023256 0.268454219518223 0.157563446440901 0.425596341521142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.768367311393831 0.783379529604559 0.370283429395794 3.1660466050867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.274911701030538 0.272439129858503 0.159762615816728 0.435056402203413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807151964373585 0.659383223028769 1.01508543552122 2.70181945387975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323170553492423 0.250647909119846 0.766170468736154 0.378073386000186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.80714237106193 0.659396387896152 1.01512032591092 2.70188900565181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323178513953701 0.250665903505281 0.766148496225941 0.378106853590133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.80712939558904 0.659409769883989 1.01514202955348 2.70195291478079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323179301231175 0.250675437011637 0.766133232479916 0.378158585582933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807093092804363 0.659441318000966 1.01514855524075 2.70207953785949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323218880149595 0.250709465255294 0.766098154692294 0.378257020949679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807164797941468 0.659789600561341 1.01459974602762 2.70285208525864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323291220289657 0.251233912379035 0.765399418937648 0.378771316356904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.806066716279486 0.659278294790398 1.01435346089804 2.69971021167961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323523631651687 0.251625515095865 0.765635542547195 0.37967497585294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807220933141969 0.659496130811677 1.01521222205391 2.70220524172706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323135796295572 0.250824339695346 0.766072002110743 0.378416796874448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807769600310841 0.659946220922326 1.01475879682665 2.70355346204361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323088289219922 0.251277845953367 0.765316086601552 0.378696986447113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.808932623233974 0.661867520631297 1.0142158619114 2.71308102106657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.323291848311043 0.251427140548204 0.76601721197295 0.379667004653453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.806768740020307 0.663340428699714 1.00955667274826 2.71507287470351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.324071335900797 0.253898625373675 0.767638494671717 0.385176167688156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.802008852401485 0.666015752264153 1.00205045239431 2.7212926917432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.325197687040868 0.256630005741788 0.772711023647253 0.393383923298492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.755573528923512 0.781974561418156 0.387239910788913 3.24408662594317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.241796313138862 0.248250636972465 0.134650134761037 0.350194481762747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.7556090182735 0.782017040785181 0.387184698541906 3.24430253641308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.241794188574885 0.24826621942709 0.13466802089157 0.350217226636698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.755601093278964 0.782014340643131 0.387183816103566 3.24429621600439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.241770640177619 0.248286820208274 0.134697862424276 0.350249447448258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.754966450436107 0.781397122211857 0.386935519788557 3.24045341104805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.241780260256975 0.248377927551609 0.134756162113259 0.350399322962999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.753778117581739 0.780296692095452 0.386369169796178 3.2330591261541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.241983834576191 0.248684424827938 0.135100371105431 0.351001353613522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.753835875972964 0.780475205254051 0.386018537118668 3.23321592428907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.242475937656817 0.249255301655912 0.135535441380005 0.352166564118298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.754904659789141 0.781299406294982 0.387125201468655 3.23961977291565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.241781765305144 0.24822541226579 0.13462955540363 0.350111332368703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.7542668694066 0.780650261454232 0.386895234947807 3.23518753475703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.2417964886247 0.24829390958819 0.134667592930547 0.350208661933209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.753442067376481 0.779813286111966 0.386201233747658 3.22950495735374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.242077045332113 0.24851033066496 0.134802120638039 0.350574772858594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.753207199997899 0.779784110303719 0.382303488863232 3.22453534398159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.244648501963825 0.251188618448146 0.13624130011153 0.35573011520223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.75397407700593 0.781113093199865 0.375155028448542 3.22228514907217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.249562897041624 0.256010264489629 0.139269198363275 0.365915474632975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.39638431737523 0.38697023869887 0.183316219632423 0.793212285032852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0424792116728686 0.0441160908215492 0.00558257737813942 0.00911687194710653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.39637167026006 0.38695371867573 0.183312733383987 0.793156451926433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0424691338255232 0.0441062038415263 0.00557870923363573 0.00911263721274859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.396498030885194 0.387097751120962 0.183223702845721 0.793517026176644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0424693205988126 0.0440987838856733 0.00557651742176604 0.00911071029280159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.396176854049155 0.386807812612239 0.183256656646037 0.792635187066133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0424690644449557 0.0440651308738412 0.00557000799310605 0.00910094503642221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.394545484208078 0.385407209862521 0.182885405905702 0.78801019994088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0425184023384873 0.044067172984903 0.00555831845468559 0.00910522572413729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.394071563881306 0.385186127131023 0.182381160191577 0.787004293315735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0427580522111238 0.0442284010071029 0.0055705455904571 0.00915355413914002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395961081386208 0.386611076718369 0.183266621781635 0.791992309567405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0425582290106563 0.0441580272226962 0.00558432952922548 0.00913053449128057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395515430069664 0.386253402752202 0.183172274130906 0.790759701249146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0426328623981265 0.0441942800763468 0.00558509811323527 0.00914293237299439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.394520208108668 0.385399055486585 0.182957712999768 0.787874802490079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0428463633369801 0.0443795632478164 0.0056000085609836 0.00920271170174591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390614664965484 0.383165661660546 0.180299146182134 0.778980483039721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0445930128761455 0.0459696075868745 0.00581218935817133 0.00972704244964021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.388562370714554 0.384237004761888 0.174562053591863 0.778301056735546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0477897247194358 0.0488627311598412 0.0062670970193653 0.0107415863621954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.742699582091381 0.749154381902586 0.889098092599382 3.2390640867579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0859065707851371 0.083819065944408 0.0437730288420544 0.0458834880066926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.742689776251271 0.749115428182198 0.889134381258272 3.2388897120261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0858974903044175 0.0838038206509359 0.0437672455613378 0.045883904449788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.742679454199329 0.749080198584226 0.889156347760234 3.23871380368572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0859234691055432 0.0837872240412035 0.0437726616638496 0.0458848504603778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.742654443250802 0.74901549021609 0.889149262439723 3.23833505757589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0859167909489398 0.0837569017361207 0.0437655755029585 0.0458940207878508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.746729283861599 0.752821619426219 0.8887081731194 3.26067248748378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.086112447313492 0.0838163402356098 0.043785280350415 0.0460126118323976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.750460179284912 0.756175225232767 0.88955375716947 3.28331957152731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0864686443492861 0.0841056658479815 0.0438433671277682 0.046251764927437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.742690757591264 0.749171836229442 0.888850546310815 3.23897149688982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0859292559934194 0.083841143869685 0.0437927707682521 0.0459058962690837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.742665848133833 0.74919505515781 0.888452496799005 3.23874114058903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0860361389292003 0.0838546186458528 0.0438384726465991 0.0459476523575952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.739256007401792 0.745332808137569 0.885615327976778 3.21157416456737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0862864922052741 0.0840160171334136 0.0439205886560302 0.0460847009345113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.741995431863419 0.748224952983937 0.87695751574186 3.22524657849119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.088382712138528 0.0858051473771532 0.0445538245721702 0.0473831543399848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735886780752284 0.742134884852722 0.853522599533386 3.17163650950887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0920607315111705 0.088925953252106 0.0457821655507836 0.0498030576498731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139090619821188 0.140244329751928 0.031462670390637 0.111828523458255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00714361176879395 0.00717760520782496 9.35939978084255E-05 0.000247287530040977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139111938550643 0.140242423024503 0.0314691477407373 0.111831042347503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00720569246290861 0.00717281220514059 9.47294069453727E-05 0.000247410402643504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139137577080975 0.140249436122682 0.0314756622417515 0.111838603415065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00727604300276225 0.00718154310340877 9.6704015726252E-05 0.000248069725322942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.138023240600105 0.139117517167657 0.0312831012391905 0.110370307987055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0074376893964527 0.00724613276527897 0.0001011342729984 0.000250372021155066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.137450678259536 0.138472654517215 0.0312419108397734 0.109444562807961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00828476443633945 0.00782522786237932 0.000126070329022586 0.00027835108043409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.137561585061709 0.138673651292586 0.0312160622955717 0.109342778720769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00947304516863077 0.00881348968827247 0.000167505475682429 0.000329043137269987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136802577042445 0.137922551363689 0.0311024208779433 0.108912635006469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00735691386496333 0.00713450874323425 9.52685228684792E-05 0.000245275643776966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136419458037845 0.137563790720071 0.0310812552067131 0.108432650505375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00757445478751484 0.00733177308856982 9.84921779645009E-05 0.000251791798897601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136664532590015 0.138043559246291 0.0310860827406713 0.108694833193509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00828155704623827 0.00807007904370004 0.000112560604392092 0.000281223273686963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.135969085598069 0.139195615741537 0.0305747772803412 0.1078155965977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0121865653346663 0.0131030750008446 0.000270278175009878 0.000586463706469498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.13699340868491 0.141785838315319 0.0300288582593594 0.108640149975683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.017047405982073 0.0193331897236093 0.000595791993590129 0.00115649283899254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22449518353841 1.17968391913855 2.23260303719461 8.12663202728324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.462700683489624 0.440483122204279 1.25998599156252 1.50044799641974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22452654283191 1.17977674548382 2.23161071674919 8.12638075135728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.462471705803926 0.440912720997057 1.25954426206274 1.5053676316435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22454744343579 1.17978883075041 2.23161354528776 8.12649628335923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.462465577441658 0.440954706632802 1.25950572164496 1.50653168795929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22435957651545 1.17963255184369 2.23131176792981 8.1245192488209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.462459951631761 0.440948784748025 1.25945513744597 1.50653870249299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2266351281024 1.18176779991461 2.2295507305922 8.14466394022934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.462537368534162 0.442419426180177 1.26146756622176 1.51761237959325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2285371026983 1.18349035740333 2.22828710679032 8.15897849259791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.465406301852411 0.44097691465416 1.27302536051013 1.51171057186138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22446531572318 1.17967034407378 2.23232184328323 8.12644988918081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.463376574640933 0.441955064979979 1.26265357442022 1.51231987419667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22442001526302 1.17964880141048 2.23190202009126 8.1260545850079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.464016326830761 0.441806443901535 1.26322682439295 1.51265243502799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22542011383199 1.18065396226803 2.23054387393472 8.1350412840178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.464810485133465 0.44025123316339 1.26521883059396 1.50499002243291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22244128654259 1.17853468061645 2.21398025949394 8.08613216640283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.469456805887039 0.442850929603115 1.27495474808987 1.51560041420771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21642592883126 1.17320467641341 2.1995801946742 8.01179568729783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.47676677773638 0.448207482833328 1.29437305858523 1.54614499725995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.294303478064 1.24916465847921 1.45257911998774 8.75577573945362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.425957431126474 0.446809702436241 0.748088752377435 1.06167784832715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29432325458734 1.2491747327807 1.45261395629343 8.75580772269556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.425963095943582 0.446743317719952 0.748121542493371 1.0616353790053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29433649160819 1.24918346726511 1.45262233162306 8.75581891239838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.42592486145154 0.446703453456243 0.748016729927324 1.06163951845074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29434257407231 1.24919235912022 1.45254697418543 8.75570111704741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.425960767654012 0.446698987921283 0.748246970860707 1.06154405735428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29382448028753 1.24890661021355 1.45176797953705 8.7516485990406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.426141636021453 0.446780752447138 0.748716411532738 1.06179166847474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29323538873822 1.24882202950762 1.44842614033814 8.7481140995291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.426397219578481 0.447017533457002 0.747498501988142 1.06293473950043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29431645929194 1.24921789105558 1.45262649701728 8.75645807770427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.426052936450805 0.447042732633578 0.748286163699308 1.06191204157574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29427623190803 1.24926357862706 1.45242215569755 8.75688233095877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.426231580414505 0.447296727306146 0.748531374713647 1.06230161340907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29397216679522 1.24925945724354 1.45118635756851 8.75641164961243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.426374493723475 0.447418618339808 0.748803494878596 1.0635387698311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29083392651046 1.2490075282752 1.43644610512937 8.74353274978628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.427736839868513 0.449204023231802 0.751791740449166 1.0737573566109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.28393505751491 1.2470894333545 1.40088651786316 8.70607163147126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.430085064394355 0.452972797409276 0.756310117642112 1.09942053952536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07438516003066 1.08950112299157 0.955056347947303 6.652889160333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422383654971497 0.430793655807641 0.579226507584667 1.06191910512876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07439429440693 1.08946456229362 0.955103136785772 6.65254830627039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422381017033333 0.430915976325094 0.579179464921852 1.06223539294247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07438787172654 1.0894253070453 0.955120592359795 6.65217731946083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422370544555945 0.430920518665751 0.579122010306058 1.06221967552741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07437677645193 1.08934763131488 0.955145683609105 6.65141104578272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422373404927085 0.430725748271565 0.579055889744593 1.06183720539939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07615217670922 1.09121895279812 0.952314757524112 6.66499356476812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422329909232375 0.430819480240426 0.578895053251363 1.06258434990452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07580804394696 1.09094147802257 0.950986331817524 6.66103070638374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422457672493314 0.430584047132213 0.57896421050425 1.06307952671877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07427637821214 1.08952720006365 0.955057480471721 6.65333257406518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.42235111109692 0.430693237138648 0.579223841877661 1.06190702847864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0730392733488 1.08861409077942 0.955886396139166 6.64606409843064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422289942211258 0.430614292045193 0.579175535388313 1.06201532512351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0719413794272 1.08758688252361 0.956037844746869 6.63814453513258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.422201204538499 0.43053277201589 0.579381630881516 1.06256025904615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07143143506524 1.09038338151797 0.945100814805107 6.65629808079152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.42263778122955 0.429981716862732 0.581950203398067 1.06844669420683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06902250064435 1.09287297653498 0.926163176983773 6.66556753419013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.42411247231799 0.431670263531487 0.586499247420712 1.08502452744801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452919269647446 0.451001967880671 0.100179048446965 1.12597722241721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146614519316379 0.141438033930614 0.0400522264295088 0.117195649271075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452435729203555 0.45073079158535 0.100341422687418 1.12486155541778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146628056060598 0.141431377313826 0.0400445214994668 0.117194663209672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452440948552947 0.45070279901757 0.100363582449381 1.12476435898696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146647304800174 0.141432565180643 0.0400381065677829 0.117200665593881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452271316542297 0.450512566171104 0.100442836371026 1.1240985215204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146694500184334 0.141458628922063 0.0400291953727365 0.11722953918385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452705745072111 0.450976335787293 0.100127790086256 1.12526767523744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.147115552810923 0.141813128635866 0.0400338138909372 0.117557121186231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452693076043842 0.451137136473953 0.099871541152532 1.12517936543519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.14779935599749 0.142469844399189 0.040104333951953 0.118153979125305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452746215929674 0.450851943008537 0.100215432482366 1.12542410094635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146616573845386 0.141479610050332 0.0400637822286109 0.117233786123336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453000699718897 0.45111766821602 0.100080031600271 1.12626814889336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146696154489984 0.141584689230169 0.0400899029067594 0.117322435453307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453189792383103 0.451376016680765 0.0998700219530967 1.12677586780809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.147023175662428 0.14192038975198 0.0401698143433118 0.117622405021318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.454329963706013 0.453304532259599 0.09813373628355 1.13023383810046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.15013721666787 0.144956447689598 0.0409256319136272 0.120484444411268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.454673261913009 0.454625818930989 0.0957106577112897 1.13022859370017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.154895264006858 0.149516373709267 0.0423638406736362 0.1253641722788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.894984956987558 0.884941665160611 0.936820160599555 4.09355474142419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0447533553896486 0.0468646908368789 0.0120606370334729 0.012983997127114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.894874827769314 0.884858698619495 0.936843805952941 4.09303967556602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044719633504949 0.04685236659049 0.0120515130787468 0.0129823545456358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.894862656436516 0.884891178045449 0.936820898738802 4.09325090778193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0447087352652235 0.0468606891859575 0.0120451082795572 0.0129857723065861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.894787306355038 0.884952712621185 0.936659993613096 4.09344491816757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0447758017586663 0.0469449695508055 0.0120468818538132 0.0130102851905324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.895126193504547 0.886205850540052 0.935745478067473 4.10023840661143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0457933962783313 0.047974366907605 0.012177540305192 0.0132916891046503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.895920214540888 0.888072207565613 0.932937071085911 4.10876304798265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0480956651017092 0.0499896917411055 0.012518943023688 0.0138495306806736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.895306479700954 0.885302894814279 0.936619185619964 4.09566791702516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044970299343113 0.0470285011534603 0.0121020884126761 0.0130137934628814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.896022707537287 0.886198280711729 0.93624989704876 4.10115958742944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0453478678844239 0.0473448160480917 0.0121675594623278 0.0130887195661513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.897355157157598 0.888094094174238 0.935191117630716 4.11211326624333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0467900652797094 0.0484076324778563 0.0124122578716167 0.013359500842274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.901479018289146 0.894781869307297 0.922003443330483 4.14062469300786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.058124564995015 0.0578300688911985 0.0146379144278755 0.0161522521086657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.900088668139265 0.896870473463786 0.897822316717548 4.1299518591452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0727624856729424 0.0713699499274884 0.0185394050906266 0.0213686555973632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801998801327002 0.749512719604089 1.2314967220835 3.4815846932585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0640643513584013 0.0484316576499598 0.044024452941408 0.019184554164764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801860870647327 0.749415868068907 1.23151704855899 3.48092727135462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0640645230382987 0.048517248407833 0.0440135880792907 0.0192075418639193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801748741079641 0.749383175605203 1.23150417769802 3.48053897948181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0641339304849666 0.0486201628938506 0.0440181242262252 0.0192353682851949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.802089910840639 0.749975403642579 1.23112215694428 3.48317135250995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0643187369620975 0.0489473407212237 0.0440323347870191 0.0193085817771157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.802776929281521 0.75246933820095 1.22870818890544 3.49199772725429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0661366717196903 0.051244227976059 0.0443590576866857 0.0197716673590843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.80233258132079 0.754211340780501 1.22509259843903 3.49473252951393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0690348719265532 0.0543940991458335 0.0449676384494155 0.0204809758163399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801496932332456 0.749350397408488 1.23146825909436 3.48001194519384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0641934463400778 0.0486088001898214 0.043968983372573 0.0191735189787674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801755032249559 0.75023720414616 1.23066081141737 3.48342022090808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0646759382839811 0.0490788247844623 0.0439912615780591 0.0192133128427346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801962616292322 0.752083098513847 1.22856416327675 3.48934439164805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0662425914069085 0.0507343271253137 0.0441723056091827 0.0194321049135815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801589651707858 0.75933471518873 1.20957183206655 3.5054913995853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0770512229588514 0.0607481193326176 0.046483199425044 0.0216438752174332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.802401081753387 0.767276109411953 1.17323095937769 3.52256553858701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0901892291116851 0.0739344452811717 0.0506551357918724 0.0260103981149364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05997416070123 1.05155575541201 3.22347824471916 7.7700628251569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352168310118438 0.0436441636775404 0.00622092702325426 0.0194455521142327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05976665624702 1.05137136795897 3.22356594451366 7.76840161037285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352784882022317 0.043705237835848 0.00623375207992026 0.0194505640129528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05969012038582 1.0513797802697 3.22342004335296 7.76792334789047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0353361820355716 0.0438000872181675 0.006243608883461 0.0194633215996135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05970947407121 1.05166030328573 3.22282942808525 7.76858481472734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0355887044924062 0.0440974786624674 0.00627332047915095 0.0195062032153409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06025021209336 1.05360684898783 3.22174565950177 7.77708372338092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0375150760634399 0.0466147757079783 0.00657122285922363 0.0199080286244586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06053460419305 1.05530305902828 3.2134620932226 7.77612135604721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.040323142032531 0.0501175480133051 0.007046537713052 0.0205738828897198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06047144509445 1.05230912719045 3.22585636861141 7.77760656730574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0353983180899087 0.0439769165667663 0.00622655096948162 0.0194887935188036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06052118056255 1.05282902801815 3.22479867647574 7.77916042976417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.035848947064223 0.0446578040919432 0.00627426190258437 0.0195811743822698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06137621200126 1.05471695543194 3.22392272465156 7.78950046774335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0376217400036149 0.0469523243625077 0.00652135748463499 0.019945439006336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0576266736914 1.05497973713297 3.17629230090736 7.7293587761464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0488797455378462 0.0606611684440255 0.00868168564271107 0.0231566815856358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05559514527854 1.05565291141682 3.1061129193563 7.66405013156701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0632091971509482 0.0763394317961498 0.0124442364532032 0.0288939048135837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03137086510207 1.02760516377592 1.06635917488137 5.34735645727289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0280305733850383 0.0445963106784594 0.00276242250822146 0.00798591118604659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03147708248461 1.0277853474235 1.06602708186466 5.34848486775728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0279989264546618 0.0445502861713086 0.00275744100793025 0.00797297202400279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03119364679669 1.02759446998773 1.06604664636317 5.34682220032996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0280111762798383 0.0445410151960223 0.00275935176378845 0.00796875190943418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03141539517656 1.02807958537424 1.06580707617397 5.35026512404453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0281573018576028 0.0445477203639092 0.00277208137040274 0.00796737697597398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03165417991664 1.02998209136967 1.06403833502029 5.36130735308847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029509255517239 0.0453758134543423 0.00292466685046649 0.00814596670409029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03064715753128 1.03107186453922 1.0612170607252 5.36407361724836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0320841918452043 0.0471891457373146 0.00326010905718252 0.00857793007856018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03212514669122 1.02855464233126 1.06560340698465 5.35357117164896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0282055409809937 0.0449715443361819 0.00277903076767882 0.00805330310216937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03265554281388 1.02946652010365 1.06474708081746 5.35908119788087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0286398848604837 0.0455359474515214 0.00282281846886722 0.00816947064209941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03308986297327 1.0310141290041 1.06341223560519 5.3673821941449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0303103330187114 0.0471304321478029 0.00302203834215593 0.00852509321422552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03151397924894 1.03553404015469 1.04788787370017 5.37896844173189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0424093953399954 0.0582743394817227 0.00497484838230062 0.0116449367516881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02934554108857 1.04102868096927 1.01855645931643 5.39462254149657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0578098310177445 0.0731028541037363 0.00859438732575188 0.0173028624227017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86699217397281 1.81506908833045 3.99033343340473 17.798318815836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137957951290219 0.205133705411351 0.166011422114802 0.215890760044098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86720767276113 1.81527266081562 3.98992933650744 17.8010112703946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137984522049773 0.205180468416694 0.166039640623625 0.215922114542615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86725470981413 1.81531813719366 3.98978246746208 17.8015952450923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137977780379352 0.205208832140373 0.166028160743322 0.215955063911116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86738267178998 1.81546229252317 3.98867860804819 17.8028505567176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.138007890406104 0.20530348507005 0.166043547226597 0.216066630915742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86682977342405 1.81533937930385 3.98363682524256 17.7975242524065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.138699012423702 0.205971115977611 0.16649757692747 0.216793156345922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86711219826447 1.81674479855128 3.98722515000643 17.8235928522525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.140443490846806 0.207000337611248 0.16748614776077 0.218120473381362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86646038423704 1.8146746479591 3.97870941663228 17.7823851927162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137959256739549 0.205138133132916 0.165928577002011 0.215858725182162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86569391581347 1.81420113422404 3.97097227345412 17.7681879345437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137975507105578 0.205986694858929 0.165819152835795 0.224547528594831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86420710313287 1.81353031194584 3.96092077881333 17.7489631197158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.138572275746229 0.206278934335537 0.166024486603528 0.224949529939479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.85584633151342 1.81112938397182 3.9166433097104 17.6809700506545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.14620321316873 0.209432414796957 0.179864001328133 0.229972805615986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8383943492084 1.80331190310598 3.81030382892554 17.5029704863737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156039109463994 0.214831880730284 0.18573271163365 0.240443634195792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.577825356655914 0.5820051554485 0.39291959289969 1.77177564918149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0151399348170313 0.0217009132682053 0.000686966448972688 0.00252718366498336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.577538924170957 0.581721498758558 0.392911403769187 1.77042378043648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.015168263128911 0.0217175964422442 0.000687714120008813 0.00252969335444602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.577540554586107 0.581737774533489 0.392908184433563 1.77039653717725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0152634392405067 0.0217765458344208 0.000690887239883638 0.00253662645518149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.57760370577045 0.581849704229967 0.392954527449283 1.77060250117949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0156042408133085 0.0220502399276093 0.000703725291481383 0.00256738427826861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578057321646441 0.582561381851689 0.392611056129395 1.77101468852123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018400150306248 0.0244102712089807 0.00084442796107765 0.00285922283128882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.579857567591126 0.584746250770145 0.392034355249991 1.77734793373861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.022355269597311 0.0279322074624227 0.00112944339716463 0.00337248386845463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.577740074237734 0.58203760280014 0.392790099590307 1.77146553022514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0154361308635023 0.0220580582522093 0.000697913979969874 0.00257511505657075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578150857238788 0.582651620942432 0.392696511927343 1.77333919386504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162596709818979 0.0229186831536411 0.000734023845648505 0.00267958811542083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.580011694060945 0.58496083066556 0.392140727933848 1.78116565617711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0188706349327025 0.0254449493073774 0.000881108318157694 0.00301955770075956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.585333342274021 0.592916144638661 0.388130104357782 1.80333082750714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0335694926329765 0.0395919271520963 0.00249400859291428 0.00570628510392728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.588825576262566 0.600223273090206 0.380878429535245 1.82122276342344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0499924644173305 0.0558562109337097 0.0057147549358357 0.0103211767999677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.310916468341732 0.300409642246096 0.175312264287469 0.525134524678543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111813835536342 0.0109596133593972 0.000541849248040742 0.000616961397151983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311017915921045 0.300532571405094 0.175271659301012 0.52539685621683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112355131929056 0.0109842925112831 0.00054478478773715 0.000620280311156394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.310942500809051 0.300512361282127 0.175260065839823 0.525293524784863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112949575306293 0.0110229142815068 0.000549130333724595 0.00062188145619818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311344446233566 0.301117866252619 0.17527923865406 0.526527769172084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0114987979022365 0.0112610211680895 0.000565431586772201 0.000637152225359626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.312888940378659 0.303800891854892 0.175048576930179 0.530656223530062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142298225062762 0.0140363582145175 0.000768763902161326 0.000801128330988511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.313817297867777 0.305839187073407 0.174454092633841 0.532207386867297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0183309371359674 0.0183162928466135 0.00115107202287758 0.00112259697904751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311022623656091 0.300789725858056 0.17526569324666 0.52580735404834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113054858958493 0.011134126790709 0.000551910523477638 0.000627540637892284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.31095551978908 0.301170742486372 0.175318318269004 0.5260940208575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0119978222255169 0.0117597961412854 0.0006016453306388 0.000659997263795201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.312337668331391 0.303560664442273 0.175251982991669 0.52971160095607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146207780069781 0.0142951794853251 0.000807422704360249 0.00080869202364551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.31760835265529 0.31061368452688 0.173789444393028 0.534534414486635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302907730580952 0.0306703361326305 0.00278703409211388 0.00254112459099362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.323520979696797 0.316565365754466 0.171990105045387 0.536717809260044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0476467362479149 0.048280703347626 0.00646563269352229 0.00588713670519278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.282598532048928 0.275705237539544 0.206417604173987 0.498254474627219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126487624281074 0.00951020745723923 0.00118163788176425 0.000769519885526123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.283232401991422 0.276380060472203 0.206866881154105 0.500169336449252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126416400508722 0.00951797372913887 0.00118115624302718 0.000771820592589242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.283488188739439 0.276735589819603 0.207101032800182 0.501097422663539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0127173912199871 0.00961575250371071 0.00118845766282771 0.000775805306233116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.284830845142631 0.278426698639996 0.208891896096542 0.506295719061466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130934339668214 0.0100284747002218 0.00121925805499677 0.000789200292815572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.286009662101329 0.281378716127835 0.209575628660857 0.510630580620401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0157218687146135 0.0135058560852283 0.00146330726471999 0.00092533818015104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.286846626679525 0.283006780247187 0.208658216478256 0.509678011015219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198825535265559 0.0183244060974037 0.00192093756439157 0.00121671084405924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.281879675631392 0.275275578521106 0.204893107816272 0.49548084075141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128504194719575 0.00989606030141569 0.00120284097089261 0.000782673977038499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.28135820837447 0.275448052241448 0.203404879866507 0.493501922626789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135479465049346 0.0109019087735498 0.00126577524654526 0.000815189531109398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.283371021413104 0.278785414769069 0.205091908802287 0.50029365758945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0158527742160606 0.0141027586120245 0.0014921020432222 0.000960853775405537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.294254719163899 0.289932444886953 0.20369800614198 0.511492870856109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0316703939082299 0.0317315183625352 0.00373234507484089 0.00275443731719128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.30351752839903 0.296354404995883 0.199571804376098 0.509024165164477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.049148615644788 0.0504594953082142 0.0076852770012754 0.00644063432411258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77824060643624 1.73293221151965 4.68217796752683 17.2362182133019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219055249494774 0.201648626373605 0.39645574951454 0.308756858495841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77860321205473 1.73327191023176 4.68184782946526 17.2407811268157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219073687870973 0.201618557641337 0.396456003727466 0.308726995336546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77829361312293 1.73287217991243 4.68167619248152 17.234809739237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219078108028702 0.201624132824722 0.396450358678793 0.308698919756063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77777453675501 1.73228057334344 4.68175628982538 17.2268366468383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219069805510759 0.201600913918813 0.396417305402341 0.308654437618952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77906169779447 1.73355282852278 4.67966694751631 17.2463972121928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219351599395467 0.201773123818459 0.396639497428294 0.308868727034632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77744420030413 1.73234675335624 4.66692258600102 17.2194142910764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219954553982777 0.202441246846829 0.397104338348336 0.309770213958852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77755726510906 1.7321514793634 4.68235392478523 17.2252759878592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219074326096476 0.201732127892728 0.396517016613294 0.308781501372617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7769834440231 1.73166676831943 4.68089083602184 17.2184152090849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219184025009287 0.202047453513203 0.39671445109124 0.310323425678222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77667952937645 1.73165559077344 4.68400572232581 17.2210733434674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.219493924069014 0.202695859115624 0.39714794906887 0.312269109832469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76733512676499 1.724797195812 4.6283967417928 17.0888180534264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.223218209301139 0.206936677682419 0.401426879442161 0.315797501029329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.75482183016452 1.71575923877684 4.53875103023467 16.9070543484853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.229696637160845 0.215299197603721 0.409420058393818 0.331736728872969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0904660899837751 0.0872974235946928 0.0253647982565752 0.0542614845906929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00465992378525923 0.00391325575110822 9.10975412127202E-05 4.28451317183554E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0905454229153663 0.0874337729747042 0.0253788165664918 0.0543406489959464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.004700878389002 0.00401967001035587 9.37034356692772E-05 4.6898347196543E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0906147902925807 0.0876477427386777 0.0253733550802845 0.054411179338539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00474927433067888 0.00420828056193171 9.42696997338825E-05 4.99452716796541E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0911267260489844 0.0884846032938673 0.0254783670525754 0.0548629694913897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00521036910808264 0.00484551106144979 0.000110477736763851 6.04560379624221E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0938535617797842 0.0915655005953179 0.0256002679741577 0.0557143582547961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0095495582058344 0.00944323920624586 0.000305515765377074 0.000211366594375436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0975860761891713 0.0951461954511381 0.0259459767799164 0.0569087448047637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0148182213398092 0.0147879671353067 0.000683406031655565 0.000515663933907982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0906342560259359 0.0880193663547674 0.025344599483762 0.0545437166632107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0050034472313917 0.00457189870815187 0.000105454246733274 5.78541546983623E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0912067842490976 0.0888391354370515 0.0252872343670391 0.0546252788767348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00648090784617354 0.00618682423834728 0.000161444868936093 9.7343021875384E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0940905088492856 0.0913858474430817 0.025393703823186 0.0553840768871494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106944397871698 0.0102109794896334 0.000378224711608947 0.000252939151550772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.109478621863961 0.103151864816494 0.0275636129882637 0.059922401084344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0293935466316324 0.0283137661453884 0.00256333200439797 0.00186863542894786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.124794781905668 0.112267680565493 0.0316675469593975 0.0619279690264674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0474691749238808 0.0464285754243639 0.00669225658584263 0.0048193771529782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76534149242336 1.74259261118788 1.02992676371379 13.138086870698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162732816743199 0.0309555374561191 0.00127603481801796 0.000332745993092567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76563263249616 1.74312871689318 1.0291904198318 13.1429011065289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0164165372715631 0.0312763998128653 0.00128397019387799 0.000346642270826281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76544879604484 1.74330335366744 1.02988628866193 13.1429379130055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0170241471413394 0.0317413942683697 0.0013704542653666 0.000388522470618396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7659036033746 1.74431962763705 1.0294348904424 13.1500841245546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0195790014602148 0.0330720445712377 0.00169068352546409 0.000560444353504082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76787985770854 1.74687379090739 1.03343849204985 13.1615110780779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0386549223083729 0.0461924885531274 0.00507321424867665 0.00254379352075485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76931585638792 1.7478446126782 1.04118423691781 13.1545243843136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0605415626867359 0.0662614028870183 0.0112745977268359 0.00704313245828514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76588932337674 1.74387595894027 1.02931427162348 13.1476714600832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0186076488813635 0.0323335503304246 0.00156989647512559 0.000488695108750364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76630784399467 1.74479243520827 1.03065943390678 13.1514244828293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252110856376097 0.0354636394190276 0.00252526641154103 0.000943352107766269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76771563288439 1.74641043233634 1.03430719552099 13.1561783543877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0422304914313203 0.0480151823962685 0.00592205493482483 0.00297932864309414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7644871807248 1.73898249017395 1.08287746855707 13.0089648492194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.117386942675448 0.11791632849679 0.0393881350624999 0.0283562727154465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.75038615232087 1.70805512583062 1.18815649632502 12.5787721866303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.191945597572563 0.190189535712676 0.103060134624595 0.0800558932133666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11554867748373 3.05245628741025 4.62824514756907 41.8233715231849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0275054021291228 0.0660055959156767 0.00253972396066751 0.00186561554170574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11570805157389 3.05265338989797 4.62893945644583 41.8289593530129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0278118933758997 0.0660123120967744 0.00256533280177073 0.00188676765931992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.1155410012376 3.05254167970482 4.62970055373191 41.8270579675293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.02864253591497 0.0660186498503099 0.00265422031172737 0.00193583845538354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11448247476627 3.0516197451214 4.6325262271909 41.807343803508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314763941498537 0.0661748616613044 0.00302867290601901 0.00212140757084442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11163925214907 3.04970132439245 4.64047737104445 41.7654110856991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0485203760587426 0.0715686970988344 0.00629199041453206 0.00408087941451896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.10717579092348 3.0469149133899 4.64846620566038 41.696024375763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0692633794733341 0.0849516921073581 0.0124903234975462 0.00828200677134366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11528954609877 3.05225901229248 4.62600328854418 41.816344611032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0304195702743385 0.0660056664199481 0.00287738285251586 0.00199820920066459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11552079778872 3.05264599035672 4.62138133446517 41.8212882454399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.036372105803632 0.0668290946523423 0.00372650525019588 0.00244702402946846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11196342326921 3.05002543694164 4.62205548273869 41.7535999544602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0517385834815612 0.0728270115847864 0.00697305452265435 0.00437986374242524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.09297893766289 3.04127744819247 4.60424122488426 41.4908404342677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.12433239261217 0.12949487079721 0.0400915399025465 0.0287361727842211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.06260551847374 3.03172685602212 4.6010952716968 41.2227120371487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.199098845128429 0.198968763320064 0.10449623039015 0.0833986017768691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507773898045236 0.500790485331304 0.0155021154292679 1.01826490299287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0110335957347504 0.00940713784798884 0.000719276843132584 1.4894401088891E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507853965569929 0.500831388543491 0.0155917352160304 1.01842583084405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128266033968487 0.00989348768373353 0.000778951011513871 4.02393178893412E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.50795148264823 0.500891559141208 0.0157134527261114 1.01868866968503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0148406347368078 0.0115218720904424 0.000987409896184011 0.000102141071437467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.508199041942951 0.501070872686922 0.0160527635032815 1.01952435765708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0199755877264971 0.0169241868971141 0.00144209320124191 0.000364438679913303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.509918270393602 0.502568465934499 0.0186757541615728 1.02697831603892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0366081335488893 0.0438192634830034 0.00378669602350346 0.00350858501630549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.50885782376399 0.492446240425143 0.035052855664378 0.99531616592448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0588539913365718 0.0699915730871379 0.00961455616212077 0.00968087764796369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.50770135218682 0.501274070190399 0.015190276427261 1.02067008233601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178660941337215 0.0129653695493479 0.00143556980568411 0.00018177039526503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507899078464234 0.502010605160278 0.0151751580745646 1.02444608583688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0258151818267367 0.0222315731280884 0.00202907252496883 0.00084208591496686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.508680189599408 0.503339398961467 0.0168420691348475 1.03286974538777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0449207012421604 0.0420919976047284 0.00574203733425307 0.00363916644543029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.512722680852734 0.433987214794323 0.119503706253119 0.79776295305453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.133777720351676 0.12663513928741 0.0523583353061343 0.0343973524936538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578360769066711 0.425051441596774 0.25363486557799 0.758737888329312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.216623538335225 0.209088201124042 0.145058979120274 0.086873011860869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25320028564269 2.21195485578966 0.341406569770485 19.9036021108895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00624975777541748 0.0466522113428144 0.000190450735253035 0.000141934735807001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25315646231251 2.2120385681111 0.341444111383037 19.9050656555656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00688932169344531 0.0466138909753089 0.000246727119407494 0.000155597995049686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25309877785239 2.21212086461316 0.341503796925534 19.906526596406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00860487213280693 0.0465743902467288 0.00035717952856047 0.000199541487393602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25290596805287 2.21226558355317 0.341546418047898 19.9090188618464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138597697885644 0.0467148918495291 0.000818014140695368 0.000379033741488022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25166269854423 2.21286632912053 0.343213049323067 19.9208566779076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0379920104198516 0.0550197887293918 0.00454487094931267 0.0023924280055286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.24950662376054 2.21337877333112 0.346329961398573 19.9325571867261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0616854971664568 0.0734565334908437 0.0110061398482979 0.00696709427083996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25291649758284 2.21163265669394 0.342151482121338 19.8973186329076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117690391449904 0.0465354107354815 0.000575084975659476 0.000295898636905722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25246004097504 2.21124482752129 0.342960978961712 19.8900012628486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.02142596373927 0.0474923132765406 0.00161736339738515 0.000720763155715042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25117510288675 2.21052928476064 0.345663371657978 19.8776690938707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0411750261047408 0.05498351071201 0.00515137560242509 0.002457420076239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23935804663071 2.20588704314891 0.365268570327295 19.8086263541557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.117135935097588 0.117128588124121 0.036697333371034 0.0251177446821697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.21928862346837 2.19681401412711 0.41354311392755 19.6889695866926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.19133184050114 0.185981705396883 0.0973867163660993 0.0749214440651536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59183390917245 3.55611123978751 5.92094412591696 56.5465685801118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0331179115183296 0.0610503083287303 0.0050939641901987 0.00227482774713261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59187694219662 3.55615844378352 5.92114019975931 56.5482307490562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0332910930266738 0.0610450244505886 0.00518760616945698 0.00228190857259822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59183676048747 3.5561361350875 5.92117556758742 56.5477424360771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0331014967422818 0.0610965094992057 0.00512962012785016 0.00231721473351836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59124932015894 3.55562292946894 5.92142326877945 56.5334690190368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.034251052088422 0.0615118429440506 0.00537713793437559 0.00247040504897608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.58856984270699 3.55331888639309 5.92802432572906 56.4762300095128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0474372098150658 0.0681068702248922 0.00848172026039713 0.0042532423459681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.58289548650582 3.54805687008359 5.94529895358998 56.345598962036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0651840893219937 0.0814255560771514 0.0140063702782973 0.00813012582990407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.5914697077438 3.5557782614359 5.92382391963951 56.539638279083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.033984426894951 0.0613591666148474 0.00530482152252409 0.00242817289340982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59071077554803 3.5551684421418 5.92689821796783 56.5252518243555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0382839610681652 0.0629433341880548 0.00615597852353566 0.00289155900900383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.587710554963 3.55254082504749 5.9490763204368 56.4720376162732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0516794190912759 0.0700409091418211 0.00958037751044218 0.00476525960749751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.55754096334022 3.52229239058984 6.06340985868022 55.7187986877161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.120343290455334 0.126218702038448 0.0424785596554874 0.0281136476487314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.51398498566643 3.47857617631957 6.25092312347258 54.6501956650334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.192818401137966 0.193061536674732 0.104202366698558 0.0792858877191787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.65301602051364 0.638696239626501 0.589151385540207 2.18811254025491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014199043323182 0.0152270199073847 0.000859115286791388 0.000341836344473858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.65295478223493 0.638750325578729 0.589146859256792 2.18797243247176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014453741770359 0.0153797657347517 0.000886160116031664 0.000355487900921025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652620936434181 0.638785304034882 0.589270582118532 2.18688192337043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0151973268832552 0.0159518730717331 0.000965213257542222 0.000403550768382636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.653121654126118 0.640283278560462 0.589695523209595 2.18976153383454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0181159298042159 0.0185748479556954 0.00129708961363464 0.000615639219412696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.66055361264578 0.648859780466461 0.592753140744936 2.20723705126555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374911403028196 0.0375552008752795 0.00460465671698875 0.00302880947254737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.67217782313237 0.659552197765711 0.598166581664041 2.2346313493112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0595648460580747 0.0596962284756317 0.0108425253196105 0.00800115510134664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.653217704060922 0.640250498067797 0.589307127039618 2.19129801785904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0168079076110306 0.0175900403988315 0.00114671209564225 0.000532854982960759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.655207425891442 0.643595389411926 0.589889179267536 2.19853068335832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0233659769437217 0.0238532257160636 0.00201031808561154 0.00110912085657865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.663701561077957 0.652691672661407 0.592339481794093 2.22294842712825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0400897226625028 0.0404754287810845 0.00524979917818892 0.003530682740742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.700955841706138 0.683100671879089 0.620556174526951 2.2922969642606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.112723782198668 0.113534514487078 0.0377169197863749 0.0292750656137707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.741924764871481 0.705900774335571 0.681859704387203 2.32659964445693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.184361365599388 0.185855301035506 0.101116552704382 0.0766144948977646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.03970670177302 2.02609840771283 8.34861843779172 24.6204267032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0271283672001999 0.0359548208030083 0.00326885114257901 0.00164475749960937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.03930125114893 2.02571468472984 8.34836048313603 24.6130587261449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0272186710179436 0.0359700419052365 0.0033091090917346 0.00163992499902576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.03910775668971 2.0256675539105 8.34725093362241 24.6086401766366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0275752053008949 0.036341244500122 0.00341301814360038 0.00165843125037022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.0388149730021 2.02572544613165 8.34709844598054 24.6005096231558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029067215476285 0.0380746005575751 0.00373424553516262 0.00181804607594862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.04341825701966 2.02883284028863 8.35450049380199 24.6055383015351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0438430423495347 0.0520011548405746 0.00730042006950316 0.00385416967816572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.05121785483213 2.03127305247941 8.35266487040678 24.58831777051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0639027832792571 0.0706180151369708 0.0139438076746014 0.00834426929958897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.04236182090795 2.02901535181401 8.34526804975074 24.6575302708229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0285251343619536 0.037293937412013 0.00359389285352426 0.00175191781748842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.0451191555166 2.03171326332307 8.346104879912 24.685174543575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0331217870334534 0.0415058032460246 0.00459766994136205 0.00221907785791467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.05115519681645 2.03571391722358 8.34563300870482 24.7066990022634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0467995908394531 0.0542585650804174 0.0081069175151831 0.00434992458653309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.06648013265279 2.02292441887555 8.36964244846869 24.3580972404402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.114811389708501 0.120362720352508 0.0405037726233989 0.0293428729370165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.09869548384321 2.01315772110306 8.34229750780093 24.0420451741061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.184316108645926 0.190132692127458 0.0996724263361117 0.080049598706109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21801415342096 1.18363451412142 1.66160139688589 7.18355320250787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029695508438055 0.0350682744254671 0.00284779325742007 0.000901235343616798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21808666933758 1.18376413678481 1.66209973266236 7.18502575524085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0297883397928224 0.0351462278089681 0.00287634793078557 0.000917182929271266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21849325391584 1.18434025916961 1.66261276059032 7.19022535582189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0301715718043399 0.0353183625981022 0.00296619817245635 0.00095336104527274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2186471058859 1.18505031948062 1.66240525262559 7.19370597147234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314518590404728 0.0361236927685616 0.00323211090774041 0.00112555477439722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22591257509986 1.19438529674122 1.67070834542361 7.2641707669231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0450909675755518 0.0471205472549555 0.00636200733044189 0.00313510375297549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23314556983193 1.20229391770073 1.67590587293257 7.30804207437053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.065065248327876 0.0657066599028427 0.0125837644404461 0.00754042411713413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21822412252284 1.18443902400763 1.6628438200209 7.18934103801444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308941391314572 0.0358176198964528 0.00310704507678123 0.00106654482250414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21824982344413 1.18583460219725 1.66468816215196 7.19509215739104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0347443782926668 0.0385234600763994 0.00394299682747946 0.00154574214178738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22255025814069 1.19224094341834 1.66893174932287 7.23190610826766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.048040917377116 0.0506237222272361 0.00721674183555069 0.00374162151340626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.24185966107477 1.21180798632262 1.68238286101173 7.27663989261931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.119088355012559 0.120572900873893 0.0408738988125971 0.0300133528598785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.25999977167044 1.22531801695904 1.7250160189208 7.25656846116092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.192248846859802 0.193500806727446 0.105873070943452 0.0824109838379029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19904273193041 2.17798107979401 10.9505236862027 29.7381242842741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0496076808976249 0.0584776969970179 0.0121116817242834 0.00733910973875217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19948917369633 2.17845562349261 10.9451169127382 29.7412760858303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0496410956534166 0.0585681490224649 0.0121204620088633 0.0073597032275251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19990948472158 2.17895253658547 10.949524855155 29.7538680492298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0498773463521306 0.0586795417900625 0.0122268036188516 0.00736631672647164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19964425591775 2.17903792595654 10.9488104100826 29.7493670944591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0506538311361406 0.0596135127741329 0.0125259041437542 0.00756577472459317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20322477091782 2.18407150605371 10.92416220648 29.7590531262762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0615589152301604 0.070103991954688 0.0226080258100542 0.00977918109897708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20906076948079 2.18899385246761 10.9033227115608 29.7584143137698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0780905084574499 0.0866522339973909 0.0294900533038153 0.0144667521188491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19975515848991 2.17891614861307 10.9407219435562 29.7406762428565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0504751205661165 0.0591573555766942 0.015278215885532 0.00746335445081037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19962047664053 2.17938597534797 10.9291187447314 29.7213132239258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0530726408445309 0.061735790228276 0.0161069896021307 0.00793371227230774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20099261134785 2.18130608878321 10.9075412320513 29.683283290463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0635385820052857 0.0713893297855125 0.0231506923887105 0.0100225706195223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23465653197009 2.20050152270526 10.7922272407793 29.6979938617681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.125582525135584 0.131883030339021 0.0551229533849799 0.0355119285346963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.27394790621899 2.21145122232648 10.6163022400476 29.56447311059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.19409592316096 0.199561099111148 0.115059962071553 0.088713690099386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23266797373631 2.18467725923501 0.171995991065794 19.2581928760324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00331292805114394 0.049909608018948 4.12353526371377E-05 0.000100797203776442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23267784373832 2.18464834828073 0.172050712181217 19.257877452953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00459906770272018 0.0499225575548451 7.193920651405E-05 0.000119199441627062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23267634223845 2.18461796232066 0.172131703244489 19.2575629008068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00709414123073268 0.0499374076356032 0.000155054412658706 0.00016794880791809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23262637932618 2.18455307589786 0.172371988933615 19.2569436707028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128075481213939 0.0502513449483558 0.000466061632962109 0.000356081303309505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23178330799435 2.18424407732573 0.174418075045146 19.2546973858418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0372287362455955 0.0579324288673562 0.00380661692961512 0.00238059244300538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.22997574466943 2.18385110063285 0.178162939407569 19.2527108584325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.06235573593652 0.0753707865549125 0.0105039706282815 0.00685783394440619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23301276243005 2.18455820207225 0.171779356324481 19.2571547720417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101911901792979 0.0503391266399244 0.000308775024845594 0.000225731775076805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23317386418155 2.18441673535132 0.1717924214059 19.2560005062646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0194970055131359 0.0509197475689704 0.00105607904147875 0.000601851320110063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23296761740821 2.18406742940492 0.172483360360422 19.2533592816897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0390718541750948 0.0569353677123684 0.00422079264241855 0.0021344135837234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.22596066208116 2.18188146973141 0.183911992515277 19.2403504404166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.114288754049719 0.114697245899291 0.0348423251208814 0.0216922133984097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20764965093235 2.17673308581305 0.210988294309758 19.1951289836882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.186970687348273 0.180719006472158 0.093779567812631 0.0656435702354365 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.119533352503247 0.0699127937146257 0.128382311915357 0.131835776838095 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0696502321732388 0.0183410588005109 0.0181372618084064 0.00139123288693531 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.119532051880131 0.069810884348213 0.128375610103115 0.131710534267926 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0696414190834487 0.0182620765816934 0.0181449961263986 0.00137525119399351 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.119542464673097 0.069730450775297 0.128375942788892 0.131593269325609 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0696513196613729 0.0181918515108655 0.0181620848427269 0.00136249777657812 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.119602705809154 0.0696315492561449 0.128386398099063 0.131381401285166 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0697061045783649 0.0180892986945426 0.0182133914746262 0.00134659769664348 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.121407618485801 0.0705646479129174 0.12856467557323 0.130799649473704 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0715813551206131 0.018905685437022 0.0188400011815387 0.00146882735525941 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.125027226180727 0.0743627179621213 0.129281703333329 0.131312235203408 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0752674130651678 0.0227363766965586 0.0200209956189665 0.00196369390051017 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.119417080213666 0.0700405441173586 0.128098011630221 0.131818410512405 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0695382583412402 0.0183099284770473 0.0180008742364302 0.00139356572872243 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.119571253706769 0.070838486502946 0.127887494002345 0.132021947322764 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0697181059828979 0.0189906517503815 0.0179636397770966 0.0014890837181159 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.121631164253239 0.0739889438055779 0.127795359439115 0.13280042072454 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.071898537785864 0.0220101761966663 0.0184239201234731 0.00191848745653133 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136330257755877 0.0934302768908535 0.125202997596203 0.133634178438685 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0883760935417615 0.0441123604772774 0.0232179511768125 0.00616790296221027 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.161283734198562 0.115703428664305 0.124199096245928 0.133162614975172 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.11104499284296 0.0697441448498814 0.0324259045074078 0.0136817509988627 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.172045001018085 0.147229253865977 0.126803199653947 0.172951857540707 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0311307429059128 0.0265358703096151 0.00100437168752157 0.00056167896129757 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.168229897216529 0.143612414763608 0.123681292825922 0.166165978676987 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0312589956962045 0.026565640405917 0.00101035422594056 0.000557705992854313 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.170361053849023 0.14535903001593 0.125513926149404 0.16938854862937 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0313912016921493 0.0266515949046605 0.00101752920873516 0.000554747469164841 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.172313550817016 0.147058840488003 0.126373186558378 0.171890974134952 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0316686219233746 0.0267660475228133 0.00103155401428339 0.000557324420720914 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.174031814614458 0.147353384374778 0.126458715495087 0.171147776602202 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0336497217088442 0.0278509581364921 0.00119653966928529 0.000637397285357137 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.188353843360642 0.15925055639384 0.135291715626092 0.191245297443726 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0366649337962425 0.0300196935792206 0.00146870302867108 0.000837415812229546 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.169922722957488 0.145230747816588 0.126352725919166 0.169291066885665 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307916737701226 0.0266908334180889 0.00103130296269872 0.000584556405513447 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.167570620105991 0.142897679668029 0.124849762680887 0.164543584045943 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307651366606385 0.0269665646597905 0.00108244292348591 0.000621059693959617 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.169846569964275 0.144380987065999 0.125955178504984 0.165451416127236 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0319141333896872 0.0281826703776754 0.00126514000346788 0.000734820664291178 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.195792818857236 0.160860625542802 0.137359005031227 0.185964363299024 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0452357538246029 0.0372954997200923 0.00301299001602865 0.00171427914382021 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.231970464222102 0.182358415110039 0.149795391156753 0.214771890399854 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0640965051342674 0.0493926687160294 0.00638630532445654 0.00386143635239962 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29257027009965 1.17648052328187 0.330031700848797 5.91102330565992 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0623094953951449 0.0636377552826092 0.0128043488480667 0.00885480576704864 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29256144103559 1.17652518078554 0.329974388384879 5.91149377887272 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0622748582201493 0.0638180707440776 0.0128064632293166 0.00888244168438512 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29253943064373 1.17657457351909 0.329915719009959 5.91200392741889 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0622929302945011 0.0640030501211402 0.01280969741953 0.00890827916870262 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29244146672092 1.17668267991887 0.329778171424556 5.9131048113981 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0624538194178686 0.0644012331821522 0.012818912084994 0.00896806812944282 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29120421256705 1.17724405301778 0.328928268159555 5.91858911385126 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0636859493980407 0.0660427893876197 0.0128996691299495 0.00924885000726061 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.28937280421643 1.17858796614923 0.327300789130968 5.93074275733829 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0658774014565412 0.0678091911112835 0.0130929161766822 0.00959315508352328 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29067107661097 1.17449521960251 0.328844074343526 5.89151775176567 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.062945580977292 0.0634070382800579 0.012832471320304 0.00881953349847229 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29022362100356 1.17430315044974 0.328459343833807 5.88984983873515 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0639218638519561 0.0632778640349286 0.0128613286116569 0.00878089471740708 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.28784058586631 1.17294156240925 0.327666804710649 5.87732186779163 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0665082652457903 0.0632250789667555 0.0129937997862683 0.0087333105697091 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27311431453612 1.17255327953456 0.32153545375565 5.87407431342833 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0784353132903276 0.067338923708419 0.0143036382599534 0.00896244662740808 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.24587193068902 1.17487437106972 0.312406079929081 5.89516066645298 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0917917350964519 0.0741089353888844 0.0170740005172404 0.00983562474420474 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0925620988854847 0.0859313150744426 0.0349914707734184 0.0580349541671026 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0103733518202811 0.0118130520860202 0.000305500392516368 0.000550955761870828 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0931122639116759 0.0864102230650134 0.0350828551062702 0.0584210470369939 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104692145232925 0.0118596359400305 0.000309858494515318 0.00055137315677072 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0938242610886328 0.0870668975527401 0.0352402220055295 0.0589949943776004 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106135846211569 0.0119211847140688 0.000316702115237457 0.000553970463574131 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0941362672250357 0.0873790860402797 0.0352485562471932 0.0590992859951352 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0109750952156205 0.0122304185348876 0.000336411491392496 0.000566667768198467 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0960391784015651 0.0894774173781906 0.0350948675010823 0.0595157318965103 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135191490062925 0.0147488164561399 0.000503866496364945 0.000705992065972676 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0993324359356412 0.0922713070579158 0.0352704929733041 0.0605199632590438 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0173713640799379 0.0180000382017822 0.000816512301255149 0.000955404117798737 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0917655967638647 0.085699819428376 0.0344118837688051 0.0575290042247615 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0103836675167545 0.0120859546615299 0.000305891446967775 0.000550911525989638 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0925553261819024 0.0874220413073671 0.0343842379199198 0.0586208441828273 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0107936756359655 0.0130495752248237 0.000335357574001835 0.000587658432802882 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0958998756428876 0.0920039892272346 0.0349782150511302 0.0619771275372137 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132850969544767 0.0157108323717929 0.000498860642433411 0.000742913566495256 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.11120210823551 0.106850305096788 0.0364756648823928 0.0705431337052595 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0311789265828104 0.0308882312364255 0.00251069314535073 0.00245211361191561 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.134227239034647 0.125288685442032 0.0427818861259314 0.0838553291806007 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0508353823494048 0.0478656753066776 0.0065257528772356 0.00574599977708007 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.300432019705581 0.283173509880676 0.328232446178929 0.606375650743749 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132950987484361 0.0166026101674513 0.000564287616184979 0.000834363159198847 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.300599094957442 0.283463681906442 0.328025254056434 0.60693918608922 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132031396582863 0.0165952060227973 0.000558886163411635 0.000831457066839952 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.300160827525601 0.283256593803499 0.328035044702731 0.606402097707006 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131347099631977 0.0167155278051313 0.000556450676490127 0.000831350795242835 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.299202663616907 0.282743314868097 0.327674630668359 0.604542126703946 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131346514588135 0.0171175808116327 0.000562607004209767 0.000837573237245937 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.301943894059443 0.286433425396141 0.326895124532529 0.610440142379001 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.015393784124496 0.0194682741211817 0.000751743444893058 0.000936458050130956 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.307523900640114 0.291480666829198 0.326523352642448 0.619042741920627 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0200328502979156 0.0229216703804656 0.0011933417791871 0.00116592244647001 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.301984426036292 0.285166702303644 0.331266414240206 0.612720342845098 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0139141463544225 0.0172850050445391 0.000606048305333386 0.000863193499907317 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.302611329059216 0.28715806356845 0.33059475016936 0.615085349750362 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014819520940459 0.0188859263380177 0.000684318583015342 0.00091592419725592 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.308478105235707 0.295339123234562 0.33238212480435 0.631364358576318 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0180275462608734 0.0230425414806882 0.000981397848205825 0.00116242131385084 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.322621109743106 0.314104348976699 0.329417731017596 0.653795387517625 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0370341444373865 0.0455235151819155 0.00385859665110626 0.00423495115108332 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.331772214395143 0.321523654710364 0.312257820419993 0.632707889721083 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0574723644457061 0.0702787925795801 0.00917084908186222 0.0105688398473285 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0565912204169201 0.0299094518973668 0.0255364294301611 0.0226726589594323 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.037184388867709 0.0125902481565401 0.0025371888337289 0.00047785563690008 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0583241739884388 0.0313249163730015 0.0271365424888026 0.0244718084025893 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0373546395941651 0.0125600605033753 0.00256114629123921 0.000477706365410847 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0584844878158383 0.0312816296869013 0.027149331863546 0.0244572137794265 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0375283450337721 0.0125305660705341 0.00259050868867456 0.00047811002278152 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0588992383683922 0.0312993196839468 0.0272287098842461 0.0245016049683714 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0378964380824568 0.0125499939624167 0.00264374624597429 0.000482112810417662 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0592938203135981 0.0305165685605582 0.0258331378555668 0.0228219340226355 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0396308456749886 0.0133260087746398 0.00290760319481038 0.000536358995722414 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0618460556277091 0.031796648249204 0.0260931514616071 0.0230680435626269 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.04174701259554 0.0146766666420981 0.00324577060199698 0.000636909964800582 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0568625266108151 0.0299788961987144 0.0255176675538387 0.0227053283226815 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374534901156414 0.0126451245302467 0.00258875518495321 0.000481352867325439 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0572108975514898 0.0305021594728216 0.0255170536624074 0.0228185263660809 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.037771567168806 0.0131367558190992 0.00264794179904443 0.000508484679527797 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0583315686602527 0.0321584427276459 0.0255124251807311 0.0231202352945946 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0387488555859808 0.0147727312768048 0.002817865370938 0.000616429059721773 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.069277806186135 0.0422929939156275 0.0255458860210392 0.0249053231831809 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0468747391977219 0.0247053433865013 0.00412156777819711 0.00165531642632665 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0885276145853697 0.051465706000234 0.0223362203975018 0.0224297350176038 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.059460686634368 0.0372993640945043 0.00634061842344669 0.00365360709886589 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154162296472111 0.142283951615492 0.161527793491574 0.224867066682477 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0172622641498482 0.012438713094604 0.000547743395295947 0.000306595073175131 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154175364783727 0.142290240362317 0.1614627618483 0.224888157603535 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0172900669520676 0.0124173761671371 0.00054976868574282 0.000304633549554184 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.151005573164662 0.139185930057404 0.154561885703993 0.215005107328396 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0173777706397276 0.012446540104986 0.000556975234550051 0.000305363654979832 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.151478762374512 0.139472527986935 0.154438536069346 0.215168630459598 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178646018735215 0.0127749252767503 0.000588692849874125 0.000317224709607898 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.155861014246791 0.143231725992501 0.156825630751859 0.220384970268044 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212976731012841 0.0156464099433287 0.000912864442759612 0.000478464386776604 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158112776143488 0.143675620176576 0.149750749871024 0.211294730643962 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0275307626063969 0.0200755116859788 0.00159873758474886 0.000857043051790193 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154244750097034 0.1431239480828 0.161464538149214 0.225437832943868 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0172677312722009 0.0131831760938387 0.000555005391285852 0.000338060422276789 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154715071563597 0.144365308965576 0.16172090839945 0.226330646713414 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.017912668862095 0.0146971589665559 0.000620092470866052 0.000423317819456153 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158534709460652 0.14872233992979 0.161831981030624 0.228802761920369 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0215820361129299 0.0195261769616974 0.00095783002142018 0.000790382327258827 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.194972296112494 0.182215369148468 0.17820414494863 0.269891903871271 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0467525624846307 0.0458150756560545 0.00498738248590331 0.00506145202074641 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.228249267624011 0.206034294263485 0.189353168246826 0.292429726056122 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0750861526208133 0.0736229719395073 0.0128988225436401 0.0137964114104742 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.278888016991 1.24924341088024 0.208837460452846 6.51180931027334 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138814533133635 0.047767184966901 0.000125108567254694 0.00762321276278049 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27885896568193 1.24924666371637 0.208966286057035 6.51180539141901 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138897478201918 0.0477121608741002 0.000125340911063312 0.00762059443053532 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27882280992157 1.24925224335812 0.209082422087236 6.51182749287944 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013915113837302 0.0476621419212347 0.000127541857005972 0.00762112070479746 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27869787513955 1.24926981922638 0.209307225451851 6.51194295919173 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141887250108527 0.0475647685993502 0.000138298912078004 0.00763320309481548 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27769744611899 1.24943069473113 0.209962218213799 6.5134067276667 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0169559020707867 0.0483107819098446 0.000271492945915484 0.00788115880258304 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27571518162651 1.24959802578554 0.209892257696635 6.51460071479879 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0211177211145697 0.0505986236445068 0.000568279242413635 0.00841238744859927 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27880657490477 1.24917594897771 0.209268333402204 6.51111666158053 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0143318700159789 0.0476040359568747 0.000140730822587298 0.0075476542423756 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27856307659644 1.2491321332873 0.209628717598994 6.51069852144139 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0151781734248596 0.0475747300651193 0.000187003963309328 0.00751012375268382 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27759556641238 1.24911066185621 0.210140674531897 6.51063195667001 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0183145344047435 0.0481190251008813 0.000382907259230787 0.0075608010341805 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2674455102572 1.24961160612941 0.208880260601826 6.51659901997151 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0390346846726181 0.056729380613082 0.00288545339294675 0.00937453573541016 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.24752482926307 1.25179387603268 0.204074451024492 6.54248944461905 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0618462689625062 0.0717018329161195 0.00830839633457751 0.0142754886109247 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53664148810462 1.50198306224224 0.332170212408787 9.33149871251983 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00933422352181099 0.0503288897324745 0.000221552710104909 0.00479405415366719 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.5337291984565 1.49903027651855 0.328360805210487 9.29159659532306 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00945317283521513 0.0501347382662249 0.000228058275117235 0.00475226997368994 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53357282753865 1.49908781203879 0.328168615660248 9.29228057030877 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00975518102858403 0.0500460545878047 0.000241017343424484 0.00475228245583994 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53322070753629 1.49920034025338 0.327773750213812 9.29362720682222 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106132180307203 0.0499065228101507 0.000277552864170621 0.00475691137250579 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53110398246578 1.4996166085591 0.325524173167038 9.29872181556737 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0153339933182115 0.0502540768283884 0.000586030377600291 0.00490026959161049 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52791027101717 1.49997345157965 0.32227895610923 9.30328662895829 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0214859247800511 0.0522960687115504 0.00118735113943885 0.00527147582445818 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53361673387639 1.49907365045167 0.328794845663091 9.29193870663483 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00997337734213967 0.0502733728852315 0.000254446978565162 0.00482801367566182 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53318247462146 1.49916636868056 0.328904402555892 9.29289342465871 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0110988440315851 0.0507555497600577 0.000317247146570741 0.00494490180909132 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53157721038823 1.49918872963514 0.328043992177912 9.29239685427606 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0144337365324889 0.0526770405359364 0.000557991281539703 0.00531906008941913 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51549378542951 1.49532139187848 0.319175139241811 9.24293678112512 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0344303005598157 0.0665281100356748 0.00321953695627915 0.00857109326171747 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49093968616456 1.49497680944744 0.302159509669451 9.24091698846221 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0551762216013389 0.0857357060116319 0.00837598274656048 0.0157176972379703 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23636135814821 1.19080150148406 0.848202451569713 6.52105320646438 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0123589455334908 0.0423408801678637 8.48623269640374E-05 0.00136525917116935 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23636272978899 1.19078055616078 0.848048098828362 6.52088173884541 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0124176156493586 0.0422993573923795 8.77995515512902E-05 0.00135891266088912 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23635519098832 1.19076500929359 0.847881449864595 6.52073978113108 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126858038703897 0.0422442447124483 9.48014424023918E-05 0.00135363318677631 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23461473562619 1.18902453262371 0.850598791523264 6.50703504411244 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135746766135941 0.0421510361288477 0.000122862914916943 0.00135420513033641 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23195893688822 1.18650537647594 0.853101796386825 6.48594090860573 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0191515518426659 0.0430738633820137 0.000428746235398863 0.00150961644879336 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2304437201056 1.18548591187526 0.851790265421709 6.47557337013838 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262329033386331 0.045706234179333 0.00109389530260622 0.00191491570443694 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23585917945866 1.19014273333665 0.851007194398357 6.51651090272442 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128187127507729 0.0424430724694112 0.000102717004544964 0.0013912032032207 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23712226122409 1.19124781030723 0.849110597839052 6.52460023276442 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141254636554701 0.0426503384980685 0.000158225481366521 0.00144870805935095 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23691161818663 1.19068909261803 0.849810771361196 6.51846875787256 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0183120653769141 0.0436480589821355 0.000402875928831955 0.00166189217483387 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23552557562329 1.18832796995943 0.844608764594694 6.48701866915554 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0422032871645863 0.0550541310246841 0.00349872103192146 0.00393958276847075 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22803174570789 1.18298450866423 0.836362275412916 6.4260477172212 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0672126572933502 0.0728883543676304 0.0100190916436848 0.00882290694549823 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0825559660448612 0.0406787553384261 0.0733565717999935 0.0689438897510466 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0582806849662909 0.0150969766540265 0.0130393206579107 0.000940431461427306 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0825725743976131 0.0407470492214577 0.0733694565633513 0.0691136905110488 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0583226486566456 0.0151333793375511 0.0130472951477702 0.000947415546617027 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0825908992414758 0.0408694310368051 0.0733872606110763 0.069298674336361 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0583667676044339 0.0152199757296682 0.0130613757401018 0.000963423103015657 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0826340648669476 0.0413693159831762 0.0734407915397394 0.0697298107885079 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0584710900005762 0.0155959113851861 0.0131128839507249 0.00102706781992216 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0817459331007099 0.044869581591263 0.0675886837380778 0.0642302872012524 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0606710397807923 0.0218687457101781 0.0138361966516246 0.0018790736236365 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0844439142512965 0.0521069842818258 0.0640952885873496 0.0610907825275735 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0659710875375262 0.0317735878686138 0.0154932552814855 0.00354929966192129 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0821968821046742 0.0406970257657005 0.0728816676044749 0.0688593238447922 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0580057439352329 0.0150889578724814 0.0129443336576636 0.000948966452358356 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0789367909099851 0.0377208367244178 0.0639644520395962 0.058608878090762 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0581802537787882 0.0156942472188816 0.0129774361852896 0.00104148307095579 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0778601408847589 0.0380945615220981 0.0550476802354518 0.0487817177787027 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0606772738880894 0.0197115014280664 0.0135434298573646 0.00154099097470836 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.103845631042166 0.0681091778050446 0.0688519041403714 0.0647096390828666 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0813010524889059 0.0457583511315554 0.0202492698168419 0.00650817071887758 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.128754951459903 0.0895983228289243 0.0676640037834366 0.0571994207248977 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.108090081659248 0.0739958228351324 0.0324182084926377 0.0151210521582054 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.147059375807814 0.131433530413162 0.11044869383357 0.149695673064877 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0254248694726888 0.0225374817807313 0.000685156084280882 0.000222675879298739 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.149074694358348 0.133292140483815 0.112343667730111 0.153000067693954 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.025318336090519 0.0225969858655295 0.000683110912393112 0.000227563587456372 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.146426483147156 0.130784609829904 0.109894245951484 0.148024921468216 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252524107020698 0.0226860695843432 0.000686770636537253 0.000232797669218628 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.146291773369645 0.130698688781695 0.110042978641533 0.147835139900128 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0250979791635923 0.0228031445571726 0.000693392888180638 0.000252044302189758 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.142241993579588 0.126904336333417 0.106561337447708 0.139485359342874 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0253632249911594 0.0244321422613568 0.000793587906295444 0.000408397862573522 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.144801007675028 0.128570136045602 0.107098765730812 0.139329520125832 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0276907506895348 0.0276039307431207 0.00104314555062597 0.000702308840823741 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.147005423466262 0.131604953626647 0.110253050363374 0.149699213938816 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0253974960294906 0.0227250118146232 0.000650149410153995 0.000221443871541436 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145547085313143 0.130451949089741 0.108900199717639 0.147588131855101 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0255665079298881 0.0229406167052301 0.000638183150665113 0.000238220678084841 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.144711383691565 0.129538581768574 0.106735232147286 0.14447755538197 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267250978296918 0.0241595426251997 0.000697260773530118 0.000352038975030916 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.169057221407818 0.148102075912206 0.114088365438512 0.164670899071993 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0401860632615052 0.0374985396437887 0.00198421596809657 0.00196089473114501 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.203735730484815 0.170090823564602 0.125732164721058 0.190544458722959 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0590777460604593 0.0555041441177353 0.00487935547205876 0.00567400589750611 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34382040516554 1.23837809141769 0.309724209334115 6.4813443606144 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0492969943335193 0.062231120500035 0.00719578559847871 0.00821197823002635 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34382200295959 1.23835120799491 0.309674295945127 6.48104488258413 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0492673219657129 0.0622661674077992 0.0072349479271201 0.00820218955253776 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34382473568653 1.23832813961092 0.30963223162599 6.48078260166231 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0492570169760845 0.062316268540666 0.00727638508590881 0.00819385099811793 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34375872678668 1.23829171034966 0.309523616756233 6.48035260327126 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0493861104602322 0.0624735436751149 0.00736607632716473 0.00819056719650931 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34288958591328 1.23828877016126 0.308975000394089 6.48002138558047 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0515651089647294 0.0640691538874825 0.00782479415559492 0.00829853546726828 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.3411130322001 1.23850822941042 0.308284520944056 6.48185210764849 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0556921299118784 0.0676798548387706 0.00846137134145062 0.00862784561074397 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34382707058264 1.23829797955148 0.309940731080036 6.48062466514981 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0497496330144329 0.0624955560764397 0.00719747866964788 0.00819243481299746 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34366695059476 1.23825523453537 0.310090865579694 6.48027495445575 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0510704169824829 0.0629906364994522 0.0072382705541054 0.0081971991107874 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34378844006417 1.23932552069122 0.310201065548282 6.49111362392299 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0545649592677295 0.0642113295954112 0.00743565546008389 0.0082645970382078 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.33434439171087 1.24098076849908 0.308993671779689 6.50812535461724 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0729477911507553 0.0741560702129228 0.0100785045383098 0.00960374200412769 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.31080874812876 1.24018810364128 0.302327482474405 6.49714468464239 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0934060979471336 0.0876660886953486 0.0158154735710168 0.0131075895675505 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0765736889732874 0.0707198546575843 0.0321674838581057 0.0461944316663917 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00955553086945352 0.0102655123876912 0.000200516031188167 0.000379784054127218 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0758363128112378 0.0700392888258268 0.0318076921174832 0.0454749658113939 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0095812236422001 0.0103120187216215 0.00020236998022155 0.000380262209131644 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0759180909458137 0.0701648399826363 0.0318040618888566 0.0455059522291173 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00966445043479775 0.0104405676638341 0.000207323528373331 0.00038375082063857 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0762095660506788 0.0705071170879097 0.0318028859053992 0.0455964091706266 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00997441821210067 0.0107521397638279 0.000225673519820791 0.000396151497710396 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0773584294291096 0.071556349237354 0.0312600179588764 0.0448513221571096 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131096780403369 0.0134414568215035 0.000418720964402846 0.000532823149143227 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0822068770944165 0.0755274606379286 0.0315655834309667 0.0461868455998507 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0179204604302455 0.0170656342053511 0.000800864606108656 0.000790922950573236 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0757982865988295 0.0700361304184138 0.03176655020173 0.0453421070650756 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00992469159444134 0.0106573172986823 0.000224466192994124 0.000389931292387595 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0774540052490708 0.0713766038589644 0.0322054045776836 0.0461817359470482 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111418892584253 0.0115638066343218 0.000295094362858685 0.000426533567777519 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0839837842100579 0.0766512230876927 0.0338912057584376 0.0496680611299557 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0149094839318808 0.0143283748366161 0.00057175200376618 0.000575468089516203 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.107905239251527 0.0923693671813464 0.0395830147491517 0.0578274576532098 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0365868303481935 0.0291260611003875 0.00352170642163638 0.00207999892482534 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.131958546025968 0.107067229310032 0.0465924285707533 0.0651238348851054 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0590923369689968 0.0453549478416069 0.00916097964064997 0.00487738070742669 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.315334862984766 0.30000938653327 0.356811192340863 0.674097368614756 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0120494832619038 0.0160394452449946 0.000483569192975135 0.000667276028375076 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.315265396736937 0.300020794621873 0.356766441878095 0.674139694472966 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0120249625155967 0.01600388388193 0.000481516730508623 0.000665834175865932 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.316258909534883 0.301143291279664 0.35711063500389 0.677203826360912 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012016682739674 0.0160302194973632 0.000482438605750618 0.000666544523861466 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.3162532345438 0.301538667253576 0.357000057925687 0.677722463173856 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0121519975650414 0.0163595576064929 0.000496698356282246 0.0006774909779388 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.318141860585333 0.304883767925799 0.358816252363987 0.683350788889684 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.015272150569312 0.0201780677253201 0.000747844240363939 0.000849637192759183 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.317384552295372 0.304532559313209 0.355324708463094 0.674140224200508 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204901359618858 0.0250541749438051 0.00127311779363556 0.00119430044752809 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.315310651117276 0.300571254306535 0.356060711465933 0.674367773770971 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0122295221366812 0.0164948750309631 0.000497831759618787 0.000672504017822389 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.31429805910942 0.300390397972985 0.354136214141885 0.670846740861284 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012825119070943 0.0176539071948566 0.000555059314246408 0.000708772721792269 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.31465827218136 0.301814162736712 0.352271154356731 0.669099606149765 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0158467267110865 0.0210439057410214 0.00082432017111653 0.000875714015982663 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.329259726954846 0.31555216599459 0.345696851607522 0.681133668994478 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0358857934548655 0.0376386567542733 0.00374659714981396 0.00279127104584516 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.342285201987549 0.324566154981816 0.336981670882101 0.677731035969323 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0576223438619686 0.056087083249278 0.00925813198724342 0.00672354807037018 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0350707958171918 0.0174722448642154 0.0135167091216264 0.0116854750083598 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024473217776308 0.00782472204073876 0.00135949721334101 0.000192697224118093 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0351261140130715 0.0175036222029155 0.0135208110634515 0.0116778961705095 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0245289259848363 0.00787806806364465 0.00137214857378154 0.00019450617613289 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0352518107511143 0.0176975089625897 0.0135461426728607 0.0116974169238388 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0246491261964691 0.00806166777657279 0.00139117616813867 0.000201100121253595 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0355832086319196 0.0184124815494957 0.0136052749951204 0.0117624173674778 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0249711830569146 0.00877137299839 0.00144009197531921 0.00022818380520567 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0363866537490188 0.0215622766866629 0.0120836080463127 0.0103710362052497 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0273255314886681 0.0133674334645906 0.00178759031791114 0.000480584664177348 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0389062156747546 0.0256950734573723 0.0109287396061529 0.00913805082083601 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0313745250305156 0.018982862067516 0.00238960479344586 0.000947265698849941 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0350986232008675 0.0177380946331974 0.0135359746691364 0.0117475093899031 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0245065238971128 0.00806851627551562 0.00139525687320162 0.000202570919445872 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0353498707840606 0.0188105150930676 0.013583883831581 0.0118717223271866 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0247845463077927 0.00910236344445069 0.00146770895398159 0.000244062297021012 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0367052121220458 0.0216784735832259 0.013775344798459 0.0122141378555676 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0261308935814421 0.0119078865496672 0.00172719881588183 0.000398262124023137 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0510450598376289 0.0358459498926923 0.0142919861168015 0.0124709600113938 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0410177033405413 0.0277424266060262 0.00446181831748827 0.00200499129275424 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0759580346863539 0.0535402363421317 0.0204501753517684 0.0171903052070406 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0609760055896857 0.0446733484549992 0.0096005093215369 0.00502970616360257 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.144156175930723 0.136486035258929 0.176061965434998 0.234065034642512 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0114612367368104 0.0105389310361136 0.000350795720029887 0.000181544888659421 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.144174894546817 0.136529349162122 0.176046313206411 0.234223442946866 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0114588449689015 0.0105752847866749 0.000352027070059486 0.000183930264482994 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.144364483990862 0.136706932934406 0.176036863588052 0.23445609201368 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0116419116061723 0.0107205190877731 0.000363422615506704 0.000191902824075687 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145148346968616 0.137570461083504 0.176032384234215 0.235199882203427 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0124522360296573 0.0115096055182604 0.000414527097291169 0.000226093432730575 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.155671097199957 0.148435990463225 0.18265257300512 0.250678975837845 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0193078715697879 0.0182261129519537 0.000991806194793851 0.000634328412231801 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158655321997631 0.151481413868082 0.173976680791903 0.241019647104472 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0282768466123049 0.0270928794692417 0.00214164791288199 0.00151463684512779 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14295790195301 0.134737541485237 0.173838895725741 0.229448861088177 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0124215160261783 0.0110997120675238 0.000419090736903468 0.000212777766696786 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.146927426947444 0.138100862461275 0.176156542767695 0.23374205264877 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014715064747201 0.013106159355941 0.000592368370361765 0.000306678273116566 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.15498288750773 0.144485233483574 0.178547697055227 0.238480257042239 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0213588283727456 0.0187546526537166 0.00125165979378404 0.000700770779811594 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.18242916124799 0.164430542113545 0.187697466310241 0.247452587749233 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0531782115078208 0.0462292021790792 0.00778917383010688 0.00527042165934112 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.21981254221319 0.193338234959005 0.210545758499953 0.280144416275502 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0855307822106502 0.0744134929805262 0.0199108496789728 0.0144645894735486 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19564804749231 1.14378670592425 0.119585857256927 5.35626920237767 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162666925621618 0.0395309087587756 9.64344066513316E-05 0.00114282439095975 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19505360135885 1.14317723775264 0.119760051306753 5.35070213218027 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162680515715659 0.0395331456391832 9.69604978903391E-05 0.00114184962044832 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19503460661453 1.14319133422302 0.119898034139374 5.35080178475072 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.016271035205847 0.0395177461041544 9.9374339901103E-05 0.00114560766846766 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.1949509007636 1.14322884220025 0.120162936300111 5.35109418768701 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0163755552125297 0.0394782982653731 0.000109563871307171 0.00115971859704453 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19394731292127 1.1435677451321 0.121243111596181 5.35429013574926 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018148682389995 0.0393769220976082 0.00022611232987906 0.00130804640344771 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19207206662486 1.14427119486905 0.12171627504702 5.36062857055389 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0213206190153627 0.0409753046968242 0.000477361480381062 0.00161629899330508 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19550868551248 1.1439684567534 0.119518276084365 5.35806641018398 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.016433278943838 0.039441115521347 0.000114499529918957 0.00116325378228957 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.1945390608852 1.14356532842334 0.11942549226431 5.35459257750664 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.01724124436384 0.0393450409923919 0.00016180942271441 0.00120577134689204 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19325481739603 1.14410815640136 0.119014408370429 5.3600315977756 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.019926486666232 0.0399432959681885 0.000354790753489512 0.00136276833542527 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18116714858904 1.14816175803046 0.115350984393091 5.40027481140139 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374197387837896 0.0488598659798908 0.00271811362837223 0.00309888508169526 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.15829521367325 1.15579140612561 0.110026668783437 5.47665133827402 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0589940204352721 0.0626546701749027 0.00805308087171041 0.00713541965263246 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49775814237408 1.45712048938606 0.265816062269515 8.73242876536588 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00850475892831984 0.0477242014442139 0.000154486901885811 0.00304420713951863 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49770254896946 1.45712358967784 0.265896350023574 8.7324580249886 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00842154369053233 0.0476678946591871 0.000151441579828222 0.00306153116631699 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49762315860139 1.45712630987089 0.265982499229513 8.73248484730264 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00839218645761376 0.0476351822897787 0.000150853720971464 0.0030837235817788 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4973804723125 1.45713071585164 0.266054976413293 8.73253211061911 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00855916175630065 0.0475915993744484 0.000159158553809555 0.00313198488688102 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49309964162863 1.4547072604677 0.263300579337656 8.70158577583674 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111371703373376 0.0483035034726357 0.000277330933637062 0.00343283224156072 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48859701809005 1.4535011711536 0.261939290330669 8.68739257901886 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0148442627455406 0.0499694427764927 0.000520412353390783 0.00388784548981698 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49820648483828 1.45725658157269 0.265501858064295 8.73446995830751 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00875959020509978 0.0482008809511234 0.000159774835174009 0.00306776024930991 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4980543596055 1.45711463231788 0.264561352636486 8.73288874000207 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00943010782226855 0.0486832348273673 0.000186799494823078 0.00311625428846468 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49468555306294 1.45439366248105 0.259823348495726 8.69865109762093 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115202165165953 0.0503732638485752 0.000294700518620521 0.00331827501522134 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.47824314437175 1.45087371660972 0.242657929634675 8.65723932736721 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0258167649616363 0.0630709118033913 0.00155280718316021 0.00576281102512858 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.44851677822493 1.44919778466206 0.218266674573577 8.64006155806126 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412588477662079 0.0801525471628336 0.0040299780843933 0.0115997666806698 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22989756303548 1.19458778183943 0.843219669790407 6.54699332578304 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00818408000588683 0.0304575993423071 6.77508831236407E-05 0.000439365565309745 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22989813755132 1.19454141598855 0.843133574548581 6.54666743902817 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00828512986195352 0.0304866983739707 6.89923680210055E-05 0.000445164711328928 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22938294805665 1.19397676923302 0.84409889530809 6.54240669779079 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00870461199404853 0.0305444998349221 7.65509481532838E-05 0.000454799283806697 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22856522550839 1.1930539722504 0.8456470687166 6.53550838257571 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00985287501177174 0.0307486530520825 0.000104734377890782 0.000485393621214719 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22788331878151 1.19222322973858 0.845513104254806 6.52904668432798 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160371455672198 0.0329280853029473 0.000430004924183632 0.000764712499094935 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2250186705554 1.18931890387633 0.847889324288424 6.5053952482383 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0241393559777598 0.0369012295421492 0.00116280617557352 0.00131009649311187 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22788007903444 1.19284350231196 0.846722200530077 6.53372428453537 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00905907325596215 0.0304431097700971 8.45962410970374E-05 0.000471176849363412 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22723266942104 1.19248444021828 0.847450404314915 6.53109135152771 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0107407239515031 0.0308410003108664 0.000139560501240813 0.000553167842753626 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22476490744305 1.19069668890766 0.850330797349232 6.51683837534337 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0154791569186929 0.0327565984701927 0.000390922063564591 0.0008724028261483 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21460248087115 1.18429181366777 0.858808663448503 6.46433048198411 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0394225184946195 0.0527260596137108 0.00360380858048949 0.00458820910181964 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.20148611400051 1.17623093246652 0.858039098727234 6.38796552619796 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0645945808732408 0.0794929537015474 0.0105933713360979 0.0126536045440283 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0804720872934315 0.0361293148478262 0.0585396188515583 0.049542377082367 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0626554186537805 0.0174047344874328 0.0151183705932129 0.00122910202433589 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0803737122809296 0.0362188033644057 0.0585037778511821 0.0495480888799495 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0625583067379906 0.0174805227631715 0.0150775829332762 0.00123930433462714 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0802824934631634 0.0363676747700165 0.0584747427395556 0.049566131405557 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0624704973364358 0.0176513910546758 0.0150448869330637 0.00126083271831011 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0800798299280973 0.0367922423250305 0.0584220093810628 0.0496328175966501 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0622817694754174 0.0180900667833025 0.014990596606771 0.00132296835125259 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0828807185050005 0.043277157148473 0.063532252987455 0.0560805905180816 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0626103309849872 0.0219144372156231 0.0151026044698259 0.00189692756143299 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0879437467146284 0.0531607508338012 0.0702703466685292 0.0646959739409832 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0649418585111619 0.0289033081274515 0.0157264670106413 0.00303723559091468 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0801547432506066 0.0365234078076949 0.0583631140191783 0.0497848385355788 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0623998159512053 0.0177722892255492 0.0150434085056946 0.00130112902570337 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.080097892660175 0.0380607300557468 0.0582849697629264 0.0502447029997774 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0624284341675748 0.0190263188876737 0.0150852780373316 0.00147909207514165 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0792238443904337 0.0400837473153514 0.0520023106313037 0.0435016051286271 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0646609532411113 0.0239296783832752 0.015772884050726 0.00220004967121172 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.108834451074142 0.0765319092064309 0.0777286603414149 0.0739408923168139 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0846306887191176 0.0526726418985081 0.022888427747061 0.00872983396483863 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.15038547630914 0.108929256020282 0.0964557797408032 0.0903252214870114 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.116305589113891 0.0833376785572583 0.0377087381013921 0.0199133409464231 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148141037654618 0.134236882557216 0.112659538487604 0.151703311034527 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0253330625779071 0.026221215456433 0.000834984718134726 0.000454718873322958 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148244413488883 0.13422313954334 0.112729512841829 0.151666671920105 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252509900950606 0.0267481617946613 0.000827827710901406 0.000521031460581621 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148355947298044 0.134225734730568 0.112795021906343 0.151639665979722 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0253013360411269 0.026730960095428 0.000825698129115658 0.000494391472049886 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148636049496921 0.134258639047958 0.112912377394425 0.151600018135363 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0256564202993784 0.0269759074645963 0.000838561279499741 0.000493559642734124 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.146946121759065 0.13156647901774 0.110382284201262 0.146398069745457 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.02695912345906 0.0272899061584456 0.000965641889903771 0.000453412882669543 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.157744622239186 0.139261833330592 0.118047704180576 0.159775996764213 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302708102369544 0.0293699128798137 0.00133216720075525 0.000661656706177158 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145543516310884 0.132277870055781 0.110674171142872 0.148041757258976 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0249588507432432 0.0265747296474582 0.000822401161206093 0.000459472226705748 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143293916111227 0.130327745993738 0.108590111324752 0.144217587297318 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0250923318897368 0.0265086887033094 0.000834114885792881 0.000435147131503374 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.141787687253525 0.128569473258655 0.105361058902764 0.139369551233784 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0265486476241552 0.0271325407794548 0.000964605725258525 0.000492009207769609 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.155243678560451 0.13707995691645 0.101960281928998 0.143279951898277 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0391679557687678 0.0369547761154231 0.00239584587796308 0.00191240676676191 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.183014136905876 0.154890979198835 0.104859970404949 0.15970159026518 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0560523250251791 0.0511743592308809 0.00530466523412739 0.00508088670042765 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34139119751835 1.22536955410596 0.307256687759541 6.35167048982085 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0527625060573315 0.0696808411232869 0.00774244024136869 0.00893699878195484 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34142018641692 1.22546224015334 0.307305650326316 6.35245847875918 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0527009992079137 0.0696755147156487 0.00771132832989928 0.00897955860489924 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34145179878035 1.22555857242497 0.307363505538456 6.35328180938781 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0526740021127233 0.0697029572225887 0.00768285562997213 0.00902709614074985 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34141814930385 1.22576296024639 0.307456887785353 6.35503889731803 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0528548978539911 0.0697485142376789 0.00763411971689879 0.00913118038597488 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34057229674994 1.22673278793241 0.307678604072863 6.36353058519675 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0546582969672727 0.0703591803450653 0.00755181290626984 0.00961592799134078 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.33847197159564 1.22795963956119 0.307581197922354 6.37448700316978 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0572881311007474 0.0722857552226622 0.0076549484372609 0.0102338698911851 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34104542818592 1.22520160699203 0.307344431574304 6.34990381402401 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.053125496822995 0.0694682051755399 0.00775189621016648 0.00883904341799473 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34049638208507 1.22507846752853 0.307410802917432 6.34855110378729 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0539975414807965 0.0693830960300253 0.00778367945656613 0.00877325765422672 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.33882961253298 1.22575103339702 0.307524736684478 6.3554969874105 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0564085130669939 0.068982499688779 0.00792388852161653 0.00847610309499898 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.31955703251775 1.22389605466558 0.30553378411074 6.33390093384311 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0679090755693934 0.0769435632919763 0.00932393922815516 0.00930963321912455 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29151620453278 1.22939111228108 0.303033908415259 6.38451162788597 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.080575784378001 0.0890063995219006 0.012192182274532 0.0125639682522401 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0756089835237197 0.0692504647852146 0.0329472474927538 0.0452570978698665 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0103303513254845 0.0128130389062088 0.000277776905364238 0.000560356108562671 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0755859794721028 0.069264964842191 0.0329418212201359 0.0452242879822948 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0103489089796635 0.012730115509357 0.000279661865499462 0.000558617374381137 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0760555097934663 0.0697765345752293 0.0330387503086711 0.0455184382176271 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0103830068411864 0.0128594799127051 0.000283923290967496 0.000569373245104698 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0765952635512632 0.0704536383766441 0.0331030020569996 0.0457886499654215 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106244896902737 0.0129094059482464 0.000300801182996396 0.000570244439135696 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0804149117606947 0.074095293150966 0.0340982358594754 0.0477497307599349 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0133187920697966 0.0149777818792859 0.000491193385688299 0.000668530708599078 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0844587413336455 0.0770282011663717 0.0345056938408142 0.0484430934924839 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0175311680202225 0.018522530194387 0.00085204353648834 0.000946913361953484 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0749473502721942 0.0689625402012619 0.0325378795621443 0.0446881883672626 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104129654286525 0.0128470077565623 0.000290120231365485 0.000559942622318228 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0757969328200037 0.0703200265463906 0.0326545775588497 0.0453654126873786 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106947392066208 0.0139621910174938 0.000321873729536388 0.000621517363013346 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0782088851824869 0.0731523579745865 0.0332845712325787 0.0469206849121858 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131285740675328 0.0155535710600765 0.000496514282564962 0.000694955120102327 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0958455841398481 0.0885808693492409 0.0360482443733897 0.0544786875887909 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0301162019965814 0.0293803424174482 0.00242568133481618 0.00217805442116283 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.116750373108711 0.105111892306324 0.0400526788264148 0.0637662541481645 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0484216734244725 0.0438509291267837 0.00602456414273291 0.00482388086518148 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.312022413555506 0.295299931372549 0.353037849927182 0.655294634963531 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141225092869929 0.0182018015350912 0.000689957874444048 0.000815706719105093 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.312088146405004 0.295396025600507 0.353013987682831 0.655412556414084 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0143260106644315 0.0184769788488871 0.000711015441967098 0.000841181144485298 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.312161578899391 0.295511461890323 0.352980160194178 0.655543566149287 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0144779323919302 0.0185506035022754 0.000725587194127879 0.000843915126072108 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.310828637368824 0.294272135262948 0.352056386479331 0.651405500045907 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0148508424896031 0.0187247184795897 0.000758314484767363 0.000846601500847326 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311721729175141 0.295263370522371 0.348176284124721 0.648397697216471 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0179158815670411 0.0198842867693598 0.00106819870947698 0.000870149721794207 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.313995586364939 0.297732723490493 0.346589553716975 0.649474314170669 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223993795766643 0.022976280377034 0.00161787337241751 0.00105259194713856 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.308208162710427 0.291552583220039 0.347652380090071 0.641759972428192 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145887546936758 0.0186653200061911 0.000732370160690618 0.000847452518093414 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.308859607160942 0.29244743510403 0.347660803967131 0.643202776168625 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0153683644596066 0.0194213593313101 0.000819296186264789 0.000883576764978713 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.300303503595088 0.284620333843768 0.33919926192183 0.615219105538918 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0181725135614716 0.0219176114516245 0.00115013267024105 0.00101489508228241 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.30449883170339 0.287279188659173 0.332411558337347 0.602945737507883 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352234618498621 0.0345930694229253 0.00401181071360736 0.00234571841264946 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.332955915190824 0.31079579026291 0.331910068721466 0.645616382439553 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0550322345426607 0.0503463157101338 0.00925939224861805 0.00523520202840361 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0341157014045449 0.0157049681067818 0.0105462484393671 0.0084644122760643 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.026226067478285 0.00950638095759666 0.00169066728000762 0.000328186845653545 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0341338738212333 0.0157333689555763 0.0105484244750534 0.0084667524947467 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262476836624991 0.00972224840174081 0.00169579285177526 0.000344806742660307 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0341658328816374 0.0157893672068357 0.0105526124406505 0.00847214337812783 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262905755486716 0.00977887407305284 0.00170404302583291 0.000346590321191637 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0343018339969931 0.0161187197283317 0.0105678309821895 0.00849895279573666 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0264482366449626 0.00999456114546167 0.00173007812331965 0.000353034207105528 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0356554243514273 0.0197299973470669 0.0107228840752287 0.00881321381457502 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.027845593801368 0.0132402687713517 0.00194968150641454 0.00052641147436467 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0385068610990488 0.0247635738322017 0.0110147528255056 0.00933741130391984 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0306642970375877 0.01784997941372 0.0023722381956749 0.000899199702670745 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0340077126340563 0.0159376700537669 0.0105405348427631 0.00843253279641301 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0261308410213192 0.00989498084335637 0.001661170971172 0.000344756339172204 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0340590947155412 0.0165461446868909 0.0105527719429843 0.00843103308062921 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262441801022342 0.0106192977700734 0.0016584771159354 0.00038054641791085 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0347638480775199 0.0186263924563161 0.01064094275848 0.0085105602634675 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0269805294174944 0.0124306645548681 0.00174104145208723 0.000487391890709772 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0503873917174678 0.0346001136974384 0.0152499568793855 0.013034546305769 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0379518671001914 0.0252613923005036 0.00322095908840311 0.00175422533182986 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0725833594582653 0.0473798055265567 0.0168222612319982 0.0138885452297733 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0549554544542726 0.0396035730770705 0.00620814426462237 0.00407900195516829 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.133838451549968 0.126272234739669 0.157541925683811 0.20388622877771 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131243115636249 0.0123490101766025 0.000539981302901356 0.000223927041976229 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.133989688749581 0.126319710447922 0.157616941878148 0.203768690795624 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132374335915248 0.0128765516242119 0.000542339182807472 0.000264877969151773 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136013699931123 0.128151435680737 0.159521276481577 0.207038885532356 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0135255847736417 0.0131166085167321 0.000564265777140404 0.000265463815206515 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139751181221723 0.13167740637937 0.165436656920092 0.21530948544516 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014405798129641 0.0139446729331977 0.000632752278472849 0.000289297293568938 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.148740546993484 0.140015510438935 0.173142890189136 0.226350354593677 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0206170102584517 0.020466306311539 0.00121994217205509 0.00066072591487667 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.160154870073709 0.149645858668481 0.180346883012605 0.237286375689377 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0287414781888602 0.0280615645115204 0.00227350642757451 0.00144628620546002 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.133851711261353 0.126768183835367 0.156770331697895 0.204736200383478 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132627074051215 0.0128366895235505 0.000568056119034895 0.000252685712692594 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.137293533500227 0.130587510790704 0.159132089086175 0.211357824879448 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0149209560448754 0.014232114667003 0.000705407323826205 0.000311357174567788 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136407502074152 0.130204873523739 0.153169628552035 0.205231519326738 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204189329516802 0.0183320185898973 0.00126558802344579 0.000558546011301796 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.146602504169336 0.137478663233345 0.130979074513682 0.183674476990068 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.051004276102062 0.0422797249742591 0.00717826035204561 0.00415101180181657 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.172122375414924 0.154639452918268 0.130045493481622 0.182567847165265 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0831166205574707 0.0692151673537739 0.0183209881799089 0.0120913383166944 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18722898449263 1.12647341900107 0.101354092470246 5.17664277954171 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0185865099092629 0.044417997480406 0.000122848434275073 0.00118236777788087 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18720237578137 1.12645257750778 0.101374462466232 5.17647817756652 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018634088628934 0.0444236282457554 0.000123273795362437 0.00117739617832222 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18715337013095 1.12643644337692 0.101411315540439 5.17635871498148 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018711324038697 0.044407705858592 0.000125038609454114 0.00117284677192453 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18698339122749 1.12641916942733 0.101473537337033 5.17626364506781 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0189091522791127 0.0443570815841292 0.000132606944992177 0.00117006100165976 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18352091232492 1.1245122834313 0.0987286019774564 5.15579805111183 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0206625536253404 0.0442040555080058 0.000218366337370186 0.00121181533898373 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18036071320992 1.12491744110385 0.0983238547809735 5.15989990124371 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0231611776434062 0.0449283660978543 0.000401894491416413 0.00142139392854505 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18663022461098 1.12640730201042 0.101240197081382 5.17611671957985 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018731520642533 0.0439277217195333 0.00012652025588298 0.00117666819308581 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18797416447565 1.12895455341838 0.103967761969405 5.20300326355707 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0190237838720284 0.0434354568309602 0.000146682750423121 0.00123618786762649 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18539375559437 1.1290517004606 0.103370816448547 5.20415693983116 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0202812707708036 0.0424259763739034 0.000237299417469773 0.00134101218196511 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.16469485516446 1.13121528856626 0.098407785118601 5.22616037781949 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0311765910124011 0.0470003355736678 0.00136820187499728 0.00292335659852308 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.13033930325594 1.14090331325947 0.0929994706466237 5.3232941598476 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.046075517855638 0.0601566729162546 0.00405829621738365 0.00755734099749931 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48189473074996 1.43373956645644 0.244390999105814 8.4371002448711 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101491146582914 0.0530593213673464 0.000394089540815704 0.00323679088808892 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.481928960961 1.43370447103691 0.244534572940247 8.43667415635357 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101759907447515 0.0530641378593378 0.000391401868133425 0.00323964785300036 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48192349297232 1.43366851465287 0.244629872075621 8.43624055894188 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102265462904871 0.0530641771532893 0.000390655616020304 0.00324517804701064 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48182039095844 1.43359339275428 0.244756747669785 8.43534288827784 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106080928247945 0.0530665663910367 0.000428115509755863 0.00326458668778555 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.47994800722916 1.43325105680526 0.244453521575746 8.43136174604973 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0123266181908836 0.0537018839651698 0.000514013000015215 0.00344410590016102 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4774287632215 1.43452963218834 0.244399503293282 8.44816557363282 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0158224552494921 0.0557377643609974 0.00063958856449724 0.00380621326748208 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48190143882102 1.43368112467034 0.244263620044589 8.43633593160996 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0105174908595025 0.0532609423811128 0.000421172370094776 0.00334004844637753 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48136801426739 1.43334949824686 0.244460740238949 8.43283601798122 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117256643438664 0.0536250159888874 0.00050944036600906 0.00348177540366174 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.47969898305495 1.43319915149969 0.243151790990126 8.43106605084269 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0152525041614951 0.0545971048896295 0.000749405463333422 0.0038259136664186 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46282310894564 1.43549881651007 0.233874901116099 8.46401917394608 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0304050984614696 0.0641984484467558 0.00223822402395421 0.00655233464197543 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41520737312947 1.42636044682926 0.194659628215127 8.35064224108095 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0475912314607684 0.0786301057807447 0.00545451279283092 0.0121581896627783 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22308985844758 1.18264360026923 0.839318871342941 6.4284100338309 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00954622423155341 0.0347568016755152 9.14919672259904E-05 0.000544282360659422 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22369124334262 1.1832186365392 0.838133539800428 6.43270599040878 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00971174726935709 0.0347474634954337 9.74963628536314E-05 0.000545058932033709 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22370264031669 1.18322559401028 0.838081865176306 6.43267210559738 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0100095619674238 0.034850488335337 0.000102881149866074 0.000564358569469871 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22448071069356 1.18399167745915 0.836517114943022 6.43846890280369 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111408086498487 0.0348505331694803 0.000138528146370953 0.000579619098507057 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22228427931631 1.1819967233178 0.832396986213332 6.41548779980917 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018120501421226 0.0359343314444739 0.000539508198471228 0.000796945952022893 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21929075294521 1.17963788257042 0.834127708802769 6.39499004509865 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267943322093009 0.0393829388432001 0.00141361367437138 0.00128117882894165 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22365419452754 1.18337758691737 0.837970629943038 6.43434786525868 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0101768136418816 0.0349974543547218 0.000108691044354643 0.000582453929516716 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22147400170668 1.18137606531665 0.841864161460903 6.41931975322796 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0120544105303614 0.0356047375665189 0.000183941901877823 0.000680552272712784 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2208171923817 1.18125423855109 0.841575369431677 6.41873160584315 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.017036940997055 0.0377751715618441 0.000475134771994875 0.000968633476497559 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21243985042806 1.17721364228396 0.840980105239431 6.38473357631687 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0426759066232682 0.055149370247898 0.00422208398929167 0.00426013746107209 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.19797291913584 1.17066972523525 0.838872671431251 6.32901112828209 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0690723311938561 0.0788096550514675 0.0122678511884154 0.0112805240501257 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.16117095478814 0.104572490101052 0.172086774950415 0.192482268231803 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0912269684197416 0.0433096519397465 0.0280341421478813 0.0256224557914539 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.161147680856493 0.104772573459927 0.172070204716927 0.192759032774182 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0911803445657476 0.043398142342429 0.0280169178249648 0.0256233001529028 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.161129707750761 0.105016539342225 0.17204560682212 0.193057932522524 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.091134930617657 0.0435463008392403 0.0280037380183644 0.0256373817846487 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.1611973324679 0.105599869844039 0.171986961770873 0.193703478380464 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0910540227614009 0.0439934835721484 0.0279913204389534 0.0257097735214431 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.16493171947428 0.107941883262922 0.174614179167023 0.190767130348925 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0910336221616361 0.0466967379559622 0.0281648694144909 0.0262670651998831 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.169198773241941 0.107337146255723 0.17764740143118 0.177240428583681 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0986550704409393 0.0605085181759805 0.0447057490431335 0.0454381919234249 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.16154952672853 0.104241165042767 0.171868067963141 0.192084427218488 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0909321545846969 0.0431874688864855 0.0278364794854744 0.0257945125726871 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.16020559759775 0.101174175770837 0.165686008448101 0.181837719095317 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0907443627419281 0.043453708131175 0.0277107867425214 0.0260736267086432 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.165942390349771 0.103965481284766 0.173710026842258 0.18241923931843 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.100834714832076 0.0570504940311075 0.0560314207786288 0.0536501463072179 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.211061951950527 0.121833636952091 0.222693049009776 0.168993877840933 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.117632570653656 0.0963428092484553 0.0585276481765147 0.097386433841936 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.294484547821781 0.148197562684576 0.374053798156854 0.16144076299023 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.165294735163801 0.157212956076577 0.133200040826962 0.195794088545701 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.296703049729413 0.323096102944346 0.190511991930435 0.636556714982529 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0752649953642 0.0949378323558445 0.0271972757758623 0.0570569504064846 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.294114341654735 0.320430588756274 0.188351109952895 0.628777202203986 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0750156076385872 0.0948030807357128 0.0266436787683918 0.0569365691104112 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.293852753498018 0.319770362471666 0.187647177623738 0.627486161853646 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.074055661315156 0.094188251859967 0.0258408662737275 0.0560029339128907 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.295913201541875 0.319649691851512 0.190165977262659 0.626561834067121 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0740171193845922 0.0949361009479814 0.0257714673661443 0.0567085292998503 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.31333405568924 0.324733836421951 0.215832399233829 0.644292857985153 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0750549007549187 0.0942917790057092 0.0265329335868143 0.0557821753694235 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.337062940261847 0.327609491210293 0.264591330885604 0.652411656814208 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0806942400352575 0.0968480580949941 0.031243829587304 0.0586239502837607 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.289298711998221 0.31843849165744 0.185044496500422 0.62306935245326 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0727263985511147 0.0930140555822161 0.0249594147782924 0.053986691902874 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.291390091407199 0.319701303849515 0.187466328608045 0.626257818297061 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0755590335928323 0.0941708754729595 0.0283761959232715 0.0591922188006768 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.302711906092147 0.326837587521682 0.204358986616512 0.655121250668423 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0745089088678033 0.0955499901997057 0.0272895620289197 0.0601411311262031 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.370656736067971 0.330442112818362 0.411743428517862 0.647489878365002 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0977096818269927 0.11039004090078 0.0492525473301553 0.0809881510496557 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.429704480759008 0.351810183014139 0.555377050206951 0.687489889603287 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.13151683645019 0.126328230162205 0.0856174810029476 0.0997658654548911 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41733561247192 1.41619610397944 0.415326951408017 9.10397461017466 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.087910011701134 0.237766948013106 0.0557543815888121 0.564657532364056 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41782989752361 1.41610886890424 0.416201789649389 9.10266713418751 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0879134272557235 0.237785546715874 0.0555205376159591 0.564681563916067 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41823798637491 1.416046175859 0.41712391769407 9.10165769340758 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0879303009288103 0.237780674326992 0.0552882302833876 0.564725925437544 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41885227587416 1.41599904198872 0.419211332546217 9.10058643772299 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0880009680154858 0.237779887487143 0.0548280869716763 0.564898259607503 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4180684345711 1.41711504529482 0.430909575938311 9.11234178264445 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0891329377875858 0.238119074648001 0.0530621075016147 0.566920778136073 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41087842435305 1.42015450314122 0.441738572144334 9.15064752234164 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0968144783361826 0.238999785429821 0.0738620076322449 0.571256205189771 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41460893842134 1.41595624849687 0.411690389139801 9.10041253939144 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0885151709172477 0.237938925980388 0.0564094563076509 0.563969252893282 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41026051589277 1.41595852190329 0.410082520652968 9.09937185429731 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0894287385965152 0.238146630816429 0.0570951793654054 0.563610399769689 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.40067535434967 1.42304923620073 0.413627993187203 9.20626475431983 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.097161533347318 0.251438597103305 0.0726993085191046 0.629563411189413 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34870884004357 1.43434856066015 0.543302885717089 9.34929398446221 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.127131777851591 0.268512714568006 0.135260655473072 0.696810820652128 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27885448589305 1.44852183571856 0.5805113731584 9.5491089658175 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.177980224042546 0.298856555014199 0.277952513438249 0.871238156374365 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.112242928592852 0.102736597525924 0.0445968014891676 0.0746217681825226 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0244671405954882 0.0306282107712845 0.00535759131920661 0.00508801034029844 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.112296881134549 0.102729840224456 0.0445456819052466 0.0745960396053441 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0246077441051958 0.0306638287871022 0.00541430678795085 0.00511724002113641 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.111778132906858 0.102099873085259 0.0442194416861666 0.073804016254634 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0247798109834418 0.0301537535847224 0.00547617856084087 0.00504218687817999 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.113898647880741 0.103852548621136 0.0450693569143565 0.0760399377280824 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0259088601982839 0.0297378770173312 0.0058719042124739 0.00471057993201045 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.117460944832238 0.10649998532041 0.045170135999556 0.0784928556906969 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0290783552372327 0.0307269386907568 0.00677991069777221 0.00449101838130883 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.122102845390005 0.11011138779585 0.0449208313983201 0.0815144991205781 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0344298995120269 0.0331731717385593 0.00826185894887432 0.00562541941615088 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.113165553212365 0.103682199687863 0.0446592146985747 0.0754286658094723 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0251758104409146 0.030046845129885 0.00609116198229646 0.0045811051554272 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.113911617213411 0.104521737765149 0.0447033284849702 0.0759992168501471 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0259095031893124 0.0299389140156712 0.00601336031729722 0.00430996939963896 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.115278344949538 0.105862039101765 0.0442942948635472 0.0764838919463329 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0265973128379588 0.0301706264014174 0.00567750141104516 0.00389344030424515 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.128535148153157 0.114044336265298 0.0443779779962573 0.08034642441937 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0390089836829171 0.0408851517122159 0.0102696930574001 0.00834608904375892 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.151197234152342 0.12660425423061 0.0473856728679532 0.0889776266384538 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0594456325291288 0.0583699627920934 0.0170835162320592 0.0175549496433903 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390307032467936 0.37045767499549 0.42929573181154 0.935140248768012 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252433968519178 0.0379197523290274 0.00270276406480999 0.00753423634185054 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390357346745858 0.370373142272095 0.42956937113013 0.934812474697493 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252546121740229 0.0378243966781287 0.00270055731030363 0.00748220233617859 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390656241910292 0.370627645623837 0.429610065180855 0.935296190598576 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252976703100467 0.0378048621016599 0.00270465895697255 0.00744803398391482 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.387738659169253 0.368035760824132 0.428619756811364 0.925953935718264 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0253371960567793 0.0382050793843412 0.00266722851038685 0.00744997178869304 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.391740043348461 0.371802220436506 0.427674890723136 0.936749227080109 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0309343055066522 0.0391334246008612 0.00745921591033 0.00726623431201715 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.396701448989643 0.376901183257252 0.422666178887206 0.948615412116823 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.035105225005245 0.0421299601755991 0.00884070116912673 0.00970010893281421 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390161727614316 0.370317541606375 0.429783714901258 0.934815390229275 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252651487967737 0.0386350433813098 0.00270078815653343 0.00771828073934136 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.38989439973494 0.370355436679632 0.429694626276131 0.934596937612456 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252362251917523 0.0380638554846206 0.00261193563812435 0.00762744213867562 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.392771102528619 0.373318097406456 0.430021363787826 0.943113316317727 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0265303278689194 0.0386833573167288 0.00281561678347766 0.007755530621671 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.398826078616514 0.382944427345373 0.420296900167187 0.958276871621377 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0450656735301612 0.0492290449054755 0.0106096782279074 0.0117161358853373 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.406823407469507 0.390050096709912 0.38982618543164 0.94571408280381 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0705311550167142 0.065437366413705 0.0224395466473869 0.0218912085760072 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.112200960802755 0.0788482498079492 0.0725872462108575 0.078209501522964 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0483502424280353 0.0200565177183818 0.00632788980161534 0.00134669533696565 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.111982700069784 0.0789262506684836 0.072498392956727 0.0782898790555446 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0483185657093302 0.0199923405957035 0.00630157786680487 0.0013166530905487 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.111919863983565 0.078754502868923 0.0719795860114198 0.0775708885884953 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0483487801618128 0.0200507323366837 0.00628346865618545 0.00133045652089758 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.112080335913692 0.0786110127055692 0.0721625549163188 0.0770403776088474 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0508816069471204 0.0233195126795429 0.00935378020575434 0.00471669669457363 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.114381296791993 0.080309589859661 0.0760276302896175 0.0770742487097328 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0512958217393952 0.0260315623563275 0.00949046182897774 0.00489046826804952 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.116402304777672 0.0804710696664904 0.0768279089724812 0.0741846207474987 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0552452787379483 0.0319920367179496 0.012805464967224 0.00754001984643009 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.112715551673696 0.0783329674892873 0.0725175776309564 0.0780218875986387 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0479773763128394 0.0198785304461634 0.00613776087604623 0.00133750475706162 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.112990888183391 0.0780129755791155 0.0716404681214607 0.076705383346808 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0492352854493505 0.0222656054302192 0.00766052282072656 0.003204953382004 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.117038744302551 0.0812145422996805 0.0738555767482833 0.0792280920583879 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0550101670943863 0.0280043872350366 0.0148451288026874 0.00669143081653642 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.131485786103403 0.0915740035062891 0.0749244906910758 0.0794173764431716 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0642215613376705 0.0446560558887589 0.0180553317668394 0.0124459325155428 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.165272785064689 0.105766431081439 0.0796962399051617 0.0805851355436083 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0953000871240084 0.0750258306909062 0.0363922195144539 0.0339819714725187 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.164456601634888 0.148472209214666 0.182334508384388 0.243131116429146 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0298901589844161 0.0222148118010815 0.00354289695536577 0.00133131033114817 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.165761466155329 0.149622280058053 0.183626847392939 0.245488957906285 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0299569680375083 0.0219217490300717 0.00356971668467322 0.0012849121255213 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.170584723831354 0.154148643960043 0.192471194874183 0.25891930947591 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0300565813974375 0.0219851298185247 0.00360510674464673 0.00131085322818546 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.170636238289547 0.154005616228427 0.192757763747948 0.258575938121338 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0300395939967685 0.0223553764036552 0.00361129708408897 0.00131737440163802 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176167338219833 0.15793444992568 0.203190729054477 0.269905358115198 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0310424918004159 0.0255995086938551 0.00336381227598375 0.0016981992166691 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.1954727517767 0.168669023884882 0.226941235106176 0.291708907125455 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0358968419523089 0.0312973859260285 0.00427610754560908 0.00298255242455155 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.174266184538572 0.157885905390246 0.2030294541914 0.274382705264279 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.030023400852844 0.0227533237594253 0.00358776673379239 0.00131070327140251 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.182916977894903 0.166220454360065 0.217475745786476 0.297903940420512 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308032289457996 0.023359505722587 0.00378178831115221 0.00131438314089578 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.193395764349734 0.174823508296096 0.233793643449419 0.318875115111606 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0332717761002311 0.029219496617073 0.00375739627801222 0.00408529907343497 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.234960128231708 0.202963251328469 0.273117416701587 0.362573143753535 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0632092356202397 0.0533556082785475 0.0206630455474798 0.0133644348951587 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.307066392943815 0.253894678271999 0.336379150369642 0.460914164273414 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101851516084786 0.0831891669421463 0.0521262172586834 0.030935188345754 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38847713514105 1.42465050236565 0.263498214535323 8.67181517669323 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0604087195517789 0.171753326517822 0.0977542673374728 0.240095232752273 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38690575804171 1.4244452497275 0.264649099869241 8.66903409930837 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0604695163433704 0.17175629489472 0.0979216539169035 0.240072506627752 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38605084500553 1.42497864574608 0.26673406207908 8.67576839720142 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0605499438350793 0.171758342532972 0.0980933097733783 0.240067447091068 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38739193917864 1.42527443591471 0.283632653703241 8.67898371197679 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0573697230602415 0.168139330569605 0.0884515431579416 0.224046662203404 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38009217446308 1.4311519609 0.344214666543391 8.74836055617535 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0694805421479599 0.175065613044275 0.114693484385214 0.247122187731244 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37219621605104 1.43193509284643 0.394893627811994 8.75468712809187 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0812219126612074 0.183841491084677 0.144148174276146 0.287293945201792 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38951038114903 1.42459083913843 0.26725565839254 8.67150620454292 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0560429025675305 0.167120849185049 0.0879605584714071 0.226068705178878 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38811387113479 1.4248085261464 0.271697598984078 8.67432143452197 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0574560826892814 0.167451959117882 0.0922848719107166 0.233269571930497 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38084955948328 1.42659428023014 0.283879522388521 8.69597792389696 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0644166181986364 0.172316952506047 0.101030120810794 0.243910705237915 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.33640589375431 1.43720203756381 0.346720810428898 8.83089068931647 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0962866906411957 0.189355296931318 0.151496053589019 0.285575229528667 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.26001678998037 1.4499657420804 0.397452495475872 8.99371916328222 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.136528313271689 0.221632974732568 0.219114646575627 0.373192062756446 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49488569931487 1.45904158164767 0.311384791844647 8.87825527175021 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0226484386698412 0.0977828444764314 0.00262142312791729 0.0464823234437905 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49441569552609 1.4590376996731 0.311254987043372 8.87808987919073 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0223634688527463 0.0977510436350188 0.0025610084029753 0.0463868587337279 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49234781020734 1.45762894370775 0.313414239023084 8.86362698196226 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224222991950119 0.0977099568694108 0.00257548364640496 0.0462987349487768 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48953774707249 1.45672143008253 0.316140530966067 8.85351028812226 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0232735574703726 0.0976710384930981 0.00285872661058864 0.0461426109345351 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49027339465067 1.45521585121437 0.381277839402214 8.83452365240405 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0274573337779725 0.102663443797908 0.00548593411926436 0.0559322228028024 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.47643435503086 1.45382298008334 0.37414254766304 8.81945556694522 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314492726352806 0.10510772437259 0.00653080706159664 0.0603229132184118 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49299621032309 1.45791480453356 0.309807642643226 8.86372700398927 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0220974494602859 0.0986868108283012 0.00257623060059875 0.04718480353007 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48949415249916 1.45640601061999 0.312707968668302 8.84901412421441 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.021808748790177 0.0998194075580316 0.00227752472354615 0.0481606357882259 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48073604828111 1.45393414138652 0.31798489622339 8.8242196164503 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252708634241388 0.105727097705139 0.00394950496902174 0.0573388522731152 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42404517537457 1.44411220673512 0.329269586350041 8.71486335061727 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0435651178709564 0.12542039205856 0.0118612271680229 0.089392949812697 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.32586960639906 1.4370742851912 0.336233820633552 8.64092779635192 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0904217937829072 0.182152350398154 0.0717520985903238 0.234808582356314 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18599919908028 1.14064854230108 0.863298109349428 6.06445748319364 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0306001308018127 0.0761809219772767 0.0226371707117243 0.0222132502567805 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18605469009514 1.1409981511132 0.863557468520702 6.06788235576901 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0304247690736804 0.0760836244487447 0.0225462912650068 0.0221374985132489 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18574718537982 1.14105548992298 0.86373467302566 6.0685724881477 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0303199430338927 0.0761418079841482 0.0224700135197917 0.0221177039785094 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18421544726118 1.14042254657816 0.86508072173304 6.06445603883465 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307477404466975 0.0762386514041781 0.0223966785034407 0.0220692962903768 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.17712975221457 1.14149434098829 0.85440589323796 6.07132680612787 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0437065544403908 0.0790428347389961 0.0460646439215334 0.0285517722458877 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.16157080501718 1.13903470958266 0.853314892290096 6.04174629270158 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0537524558660212 0.0883840753602168 0.0559265724152299 0.0555203857286718 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.18531510527104 1.14129421751939 0.857517661025977 6.0689900785638 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0307211000816017 0.0760653656565362 0.0226200295283159 0.0219817381104699 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.1833351123242 1.141562320942 0.852771278705826 6.07008252367303 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0337127850265859 0.0820899257821784 0.0245574704643721 0.0401504362678709 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.17744759456042 1.13995471868221 0.850723353230798 6.05605685246935 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0371094728728157 0.0822319867449405 0.0249987051209316 0.0397909412369314 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.15746493234879 1.14196253571014 0.82204893231291 6.05841130022704 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0650464369974577 0.0860940479058867 0.0525049590054771 0.0333236977290413 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.13224746235357 1.14412667206656 0.793356709769768 6.06093539334504 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0926106381099461 0.106826674731149 0.088984462061441 0.0488358031958818 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.163069651256341 0.137186451841758 0.294473106527947 0.357873375286078 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0380084345716693 0.0120693369740607 0.00503912213038174 0.00052441979315415 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.163541258886717 0.137739134813752 0.295302797463757 0.35929696770793 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.038013794577826 0.0121470529638607 0.00504714780837055 0.000534858038241321 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.163258698539279 0.137777972334725 0.294898824219567 0.358782857413501 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0380415888513869 0.01247953726965 0.00507383704388226 0.000569364191022114 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.16401817381347 0.139963027402728 0.295943660879345 0.36127555065601 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0382836914605604 0.0141733863072639 0.0051992648349963 0.000724639232759886 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.171985147581663 0.153817653199972 0.298350547530689 0.370948307748551 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0455982356270924 0.0276770604985476 0.00713352267484371 0.00237483678994765 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.183994448123726 0.16805740707163 0.300686100250488 0.378469744289579 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0585270888047651 0.0436490963092709 0.0110366365276864 0.00546979837092112 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.162389725835971 0.137711474089893 0.293403051634618 0.35666980499099 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0380745856327795 0.0132727729834717 0.00515062207837199 0.000645480450332745 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.163019399584471 0.141193635493184 0.292827071947094 0.3575047218087 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0392665241099892 0.0173892830916203 0.00556252508336627 0.00105723942386677 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.170634726561449 0.153317752701881 0.295870966928948 0.366794885357228 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.046231184080417 0.0294126428626649 0.00748388597248775 0.00268411227332086 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.21900285691012 0.202197328192407 0.313580001476259 0.400259971520155 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0947759340681442 0.0834089905877195 0.0269286898597631 0.0183475371699991 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.275226392002432 0.248665235789484 0.343303318225665 0.433027565410417 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.148972578246881 0.136933751618618 0.0622775763971478 0.0464680700942392 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.300413538229045 0.282358786130021 0.244094297405345 0.517088928491821 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138463339995937 0.02275879506051 0.000703921666163185 0.000861125616426309 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.301513292164309 0.283388454625711 0.245133572415354 0.520418134971473 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0139024080083623 0.0227688900547627 0.00070704128660074 0.000864827060322232 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.301238733197234 0.283005018895882 0.244700040299938 0.519063801789172 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0140754960600744 0.0228609700458955 0.000724850305876995 0.000876930800173055 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.30091542048463 0.282315852625214 0.243647843339942 0.515790411242811 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.015111457104729 0.0234659598711491 0.000817518480257715 0.000923791238016592 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.310692489578902 0.290326077237967 0.245670007301342 0.527486929060291 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0246879367897849 0.0311565574751833 0.00188561411803642 0.0014971780397491 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.324346268303528 0.301771292070556 0.25062992972583 0.547063471285405 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0367867191255218 0.0410834706799606 0.00391601622745192 0.0027286358383772 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.299590367577135 0.281737622671165 0.243676071579764 0.515180752733798 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141329369067908 0.0230074086723727 0.000742130426763121 0.000902625252634041 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.298831405098183 0.281054709574506 0.24078007382226 0.508849707641755 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160281560432486 0.0248714938822947 0.000916781213119816 0.0010356945002213 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.300252281666735 0.282913995986374 0.238638288164167 0.504245791973993 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0222246018595332 0.031424889130778 0.00161222539986016 0.00160915933839756 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.329552199286553 0.309936418689562 0.249803636458907 0.541557348914612 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0543396538060932 0.0657865434490116 0.00832461018821404 0.00856598268836303 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.383645454711692 0.352301306749496 0.284965662477437 0.636454418347272 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0874791992362094 0.101611162073426 0.0204290217193966 0.0228737871058553 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51666966896704 1.46513449524258 0.762184683865392 9.43140423274479 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0221318392758613 0.0622553358968185 0.00142900208870526 0.00811032241448892 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51669043379015 1.46513150090649 0.762082990502404 9.43136346929244 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0222248588053342 0.0623220954827977 0.00143669994355512 0.00812213866191373 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51666987329783 1.46513667332892 0.761935052694975 9.43142266481787 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224995646389126 0.0623788471361563 0.00145230995040714 0.00814128868940254 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51654377635198 1.46515150611323 0.761649805321487 9.43181892943949 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235418436809667 0.0625370562090483 0.00150663188357389 0.0082052481265509 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51425123837073 1.46531177750298 0.757630714750624 9.43407463968677 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302800031714411 0.0644193633297134 0.00205464842181369 0.00883813391868654 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.509366919224 1.46564024219507 0.74845142196745 9.43689330034301 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0384639955024757 0.0689140264874946 0.00315168398842308 0.0101390372459888 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51665360908447 1.46543083685923 0.762715731934186 9.43603314922524 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0227437019811023 0.0622982973532217 0.00144953118481681 0.00827252117308237 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51641357529206 1.46589902034223 0.761704150135498 9.44132418445512 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0248229027880892 0.0624893681557976 0.00155509772055841 0.0084612502259912 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51507914765223 1.46755063442097 0.759335834995892 9.46301070671473 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308403286020515 0.0641959512520683 0.0020356884443198 0.00926966665708624 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48868245383952 1.47051843662946 0.715953636553792 9.49132127069608 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.059290879823182 0.0851652134553584 0.00777714316379682 0.0170749713106123 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.43899818169104 1.47896129467482 0.646419417437635 9.58322147535166 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0890281933869741 0.116123261899943 0.0200480910272619 0.0349936540187707 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158461300751609 0.150265378889158 0.0918989605565332 0.17287899501104 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00944243632416487 0.00761047925537401 0.000487037377696274 0.000147491913915758 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158672480726777 0.150571540853078 0.0919907377479309 0.173240268651722 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00951254333282759 0.00780353821677105 0.000492306778878387 0.000153132511285571 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158833049908842 0.150989677691164 0.091796866085937 0.173297193427014 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00981821813056602 0.00823002440224864 0.000513334220085757 0.00016688892111404 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.159992892096575 0.152561765518059 0.0921664065206185 0.174724115115337 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111388503095839 0.00968251974409878 0.000603910012547666 0.000220997471369909 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.167777010456844 0.15964613556514 0.0934335390006752 0.179841337588736 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0205539805855492 0.0181533023299685 0.00150376133525461 0.000770147166049633 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176282230513719 0.166029836942728 0.0951254551447283 0.183519772308337 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0316146242985919 0.0280067841208841 0.00316162862500616 0.00185551843715279 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.159403302031041 0.15205077821069 0.0921120166421919 0.174230366989556 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0108374821528763 0.00928964252998792 0.000572772815808967 0.000204298097922672 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.161499701678113 0.154497203953304 0.0923657976711794 0.175535700191232 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0143198431574791 0.0125287621035349 0.000840654058312845 0.000359617089785868 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.169683595334096 0.16199499872299 0.0940415343978475 0.18161346612647 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0231414976683812 0.0202840493686972 0.00181998127260725 0.000963133920376398 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.204478301937386 0.18900503189437 0.105545548927601 0.203468042918191 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0620482452540733 0.0547575621582427 0.0112596842526868 0.00717771774900588 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.246481042284169 0.216069484505692 0.128374418073883 0.231827216298163 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.10088085839426 0.0890972958497264 0.0291886443145499 0.0186951123590241 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.433145826996926 0.41843618288507 0.624914279937195 1.29040371331958 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0114905723533693 0.0126784664658459 0.000493884727801749 0.000385497472772711 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.433052214044021 0.418522473519791 0.624953693602505 1.29042640592865 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115405039187596 0.0128594681551445 0.000500354968895504 0.000390025735768975 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.432979856057612 0.418864274282409 0.624937186699069 1.29074680754265 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117457722889362 0.0133532906495334 0.000521859381663785 0.000404834027520541 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.432958089171804 0.419708359803394 0.624580233135926 1.29075060643382 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.01277127707281 0.014959836256307 0.000615445990159984 0.00046755445776871 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.44112180852739 0.428745597788917 0.624098402907696 1.30768671769302 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224302888040143 0.0242519488220664 0.00166794270283887 0.0011403566349718 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449847662223606 0.436556145247561 0.623421510911861 1.31926960902956 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0345690767351412 0.0350748721724016 0.00369104614802114 0.00251846067765205 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.434366082395255 0.420553907889776 0.625295368630682 1.2949604412839 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0124432841907925 0.0143233244841429 0.000583772849841312 0.000443519349669181 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.437398664234999 0.424340663881418 0.625636925293364 1.30289582589617 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0154543579872691 0.0175452710766665 0.000858702784145979 0.000605698154998502 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442056297328971 0.429309747603505 0.624820542129432 1.30670121410637 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0239819889962856 0.0255373830735444 0.00189557404336166 0.00125923261117053 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.475000357765429 0.456069473799007 0.628144360040217 1.35273118698677 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0637707256819099 0.061454513645287 0.012118325970141 0.00826419477066208 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.50332748248818 0.472735842229787 0.626950076290932 1.35932841426022 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.103688060603455 0.0983575441572522 0.031745303098082 0.0217046715717082 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.128918501540191 0.118424114820715 0.114417592708728 0.158200439501881 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160232025724144 0.00969465313735219 0.000936657538753555 0.000235448629088461 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.128899181140216 0.118474898571486 0.114415876478339 0.158216929606325 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0159912768063535 0.0097605737967374 0.000933546491334707 0.000236832917393163 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.128931870299874 0.118583907740683 0.114368813950716 0.158195752766015 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160611108119631 0.00995930415450131 0.000940923762681675 0.000245764634227477 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.128243620841434 0.118220172673013 0.113698491989761 0.156946698421627 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0163714068311041 0.0105922322139505 0.00097810852898278 0.00027659779203958 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.131839068063705 0.123106667679198 0.113929012360897 0.159146611367868 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204232542751675 0.0160603299985476 0.0014634725442678 0.000619986787594475 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.13880804304074 0.12971901897101 0.115186851194962 0.163049124146644 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0274640956599119 0.0231384255941656 0.00246556294990834 0.00128434530734869 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126548588865163 0.116681274057786 0.112458445390585 0.154636558043768 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0161870009233727 0.0102988808167239 0.000965796202172924 0.000260994680332111 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.127922280919825 0.118747085163839 0.112786356725717 0.156255169486369 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0172561120510427 0.0118848028427348 0.00109652187749343 0.000344986200866317 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.131050564169013 0.12223425704537 0.112080126476521 0.15675475574687 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0218410201347853 0.0165656606512956 0.00166598108397393 0.000672905958449299 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158542384347846 0.141754396136048 0.112930038932329 0.163311805279962 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.050507032083102 0.0407475993481633 0.00724958864333587 0.0040914467531234 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.200388894989832 0.165207010902981 0.119826845391839 0.177775904226359 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.081135123563162 0.0657214458885857 0.0167749165639255 0.0105405875008958 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.257426049581282 0.246082153716559 0.303351117338141 0.517125897609026 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146390764564051 0.0137890735161558 0.000897883061822193 0.000229265401594524 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.257680904902968 0.246516388518791 0.303939109369551 0.518429829260008 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146965214969611 0.0139348557186213 0.000905558836195846 0.000236131014209374 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.259847752014023 0.248891135324735 0.307011394179065 0.525655013406216 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0150256504249767 0.0143269559962997 0.000942633437987014 0.000257092322419988 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.258514149660789 0.247805765654652 0.303420220119662 0.518601481004351 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0167036687557287 0.0157445926692618 0.00112137686754934 0.000342581260560574 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.268111126156359 0.256933278913076 0.307153777714597 0.528881150363417 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0295634920972082 0.0266020526508576 0.00295719815595697 0.00133973378192334 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.286834846661896 0.273306330661553 0.316487310146466 0.556159831273338 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0454410417771365 0.0402584465930145 0.00641249107387649 0.00346832017637189 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.25914088968221 0.247615235030511 0.305362012737595 0.520575135032389 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162751906330517 0.0150176679794677 0.00108678087549985 0.00030602755948266 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.26123749136132 0.249279772194074 0.3052052431848 0.519944428636408 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0206603491751487 0.0185662000068639 0.00163340116674428 0.000542611120181295 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.272231724334252 0.258045483918884 0.3074753493154 0.529055885072615 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0333684324817541 0.0286375919612967 0.00373331024011728 0.00155487018425863 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.322517425147923 0.291670201557172 0.329661824055155 0.561153412730767 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0910908267776833 0.0755492404036799 0.023867746599701 0.0130054235742396 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395962034810466 0.337927617496647 0.404846287844413 0.655588508330005 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.148070682266033 0.122443918589711 0.0608516024210937 0.0352999042309795 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4599453731084 1.44182380380825 0.605384986670452 8.99037431895383 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00646115165746622 0.0398839965049812 2.42791731682293E-05 0.00352388787155154 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45995907415176 1.44182023860407 0.605354599237418 8.99033909046047 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00673524895459583 0.0399045570325888 2.8536560681568E-05 0.00352902676645161 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45996199802104 1.4418214503401 0.605304946520995 8.99036875734198 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00736892439448797 0.0399361811499348 4.21846300883284E-05 0.00354610534992209 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4599149502729 1.44183791463207 0.605148048126425 8.99061932138145 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00929483496240511 0.0400401737436274 0.000101329354494852 0.00361734906151592 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45949557845928 1.44254930294175 0.604421819730233 9.00018689152711 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0207050403950413 0.0447061633032701 0.000857690042439338 0.00463035563355322 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45683712953711 1.44224013370397 0.600953896316974 8.99657576560914 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0333957211517596 0.0544745264821477 0.00252399868998073 0.00681166186047489 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46016334159652 1.44232476397093 0.605685137730257 8.99677486786107 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00852050139265683 0.039989578482548 7.6446101093284E-05 0.00360996148589055 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4597688733923 1.44242874464701 0.605092844049967 8.99796395642493 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126035256647969 0.0405509277378386 0.000252927648615621 0.00384017695824063 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45803375646709 1.44235925722244 0.602513583010081 8.99670306317093 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224437524363159 0.045696053090397 0.00104942736890764 0.00492965945073924 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.44505889247179 1.4459073613232 0.583857256583965 9.04230626016907 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0641182257686313 0.0845997187871443 0.0105232375158881 0.0174034742060489 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41999747048163 1.45227726059816 0.550796846461841 9.12658631391013 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.105218080222065 0.129718074240492 0.0301580487336581 0.0430056846696379 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82242343196009 1.8159758297892 1.40312322669367 14.6736728733893 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00725278738761925 0.042888869185002 0.000251482799302977 0.00673506590688161 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82220593063983 1.8157577599619 1.40374832373785 14.6709734673722 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00744415796582135 0.0428587112247848 0.000255953286752622 0.00673520502536884 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82163976853777 1.81519454160723 1.40528309878621 14.6641601019156 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00799039838967269 0.0428740846308728 0.000275571269182389 0.00675156033796823 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82146867387235 1.81518362778077 1.4054775921375 14.6641356922738 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00979674246875669 0.0432316186255263 0.000358486111718565 0.00684652191664974 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81831234307407 1.81352007132617 1.40668879660691 14.6432193927846 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0201543905977195 0.0495229950413352 0.00121408950637363 0.00814372481689621 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81499459601051 1.81326581204585 1.40028131854498 14.6400330239882 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0317152957611134 0.0595403209736681 0.00288088565899431 0.0107590947572412 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82228318249002 1.81645835277611 1.40087040963359 14.6792684743624 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00929523998320965 0.043864452245933 0.000335416716358122 0.00705846945445209 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82128454431136 1.81629648160344 1.39966201792996 14.6772424331648 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131104869183411 0.0462236115436779 0.000562622155966004 0.00763634294375557 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81882022966299 1.81636992462308 1.39384836721673 14.6781279796493 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.022052020451322 0.0538548335330556 0.00141748708454507 0.00953388879116559 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.80161960453424 1.81875706473771 1.34612176191236 14.7243141034259 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0605190230975394 0.0957060243818477 0.0101642432003419 0.0267318935143207 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76725622472849 1.81787231578212 1.26451120916095 14.7346483940374 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0988669090752172 0.143026029160603 0.0272610003168319 0.0604358376617797 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29892272364404 1.267968823542 1.11998041053249 7.53642736952569 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00828437151674418 0.0265318340110648 0.00010772641264009 0.000246952799082649 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29907927265546 1.26809166028657 1.11985016251596 7.53732210889722 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0084799963033111 0.0266145455096151 0.000114797524960924 0.000250117933913606 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30000768025064 1.26890891340789 1.11857598022663 7.54413109204599 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00914967739429012 0.0267582476651807 0.00013789341865167 0.000262445811415049 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30147541650995 1.27011265418597 1.11665147243954 7.55364382461021 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113384171366574 0.0272877031460162 0.000231531954426055 0.000312394896767014 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30198627281946 1.26914606411551 1.11903089342901 7.5415490812978 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024473174455877 0.0325807607772728 0.00133456023657413 0.000890603959014618 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30225061501884 1.26780705698701 1.12076185582799 7.52559438053431 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.039101098825987 0.0419175231189378 0.00366858518301517 0.00216577604161775 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30042750045471 1.2694316375712 1.11787936084229 7.54778421098071 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0106769927573518 0.0270047159345725 0.000197378603474206 0.000292039630317899 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30055633907652 1.26942491102469 1.11838738335074 7.54591445291454 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0155654762087246 0.0285024748860713 0.000481493683030168 0.000439957848674783 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29933403321137 1.26774587591762 1.12184253551156 7.52779479366101 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0272701272488522 0.0341203713024044 0.00168883441196072 0.00107168964856987 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29788524913652 1.26127923977499 1.12629261947549 7.45779528701545 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0773865154494566 0.0710905380971985 0.0156549039572872 0.00890082278325312 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29368444267852 1.25210896448947 1.1303261427598 7.35657509452423 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.126620803363468 0.111993301193572 0.0442318351547456 0.0251646509052693 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.125710291541308 0.10394420244952 0.236420344243034 0.271826388185986 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0323642828666846 0.0101856249289268 0.00375541753945905 0.000372484469677561 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126380327282175 0.104721374038662 0.23809059575283 0.274167199013088 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324374964433663 0.0103319349429716 0.00377508912245151 0.000388286509885768 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126550143483074 0.105453597924662 0.238445605422584 0.274901592905728 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325388055319281 0.0109519707123339 0.00382158645993772 0.000441744016078812 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126930897082415 0.108290393500707 0.237846657268512 0.275391394550887 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0331419615697717 0.0139719807646445 0.00402870636310431 0.000683658318904212 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14009996257546 0.127953844711447 0.241295001084426 0.285616902330939 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044661060307948 0.0328715113762731 0.00691414533011068 0.00315921729829334 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.159867692337039 0.149168906247703 0.250982254971346 0.301670607200995 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0624709746536024 0.0534611526434739 0.0125947588218559 0.00782215343477895 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126790586757553 0.107761712690386 0.238456372332331 0.276011663703815 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0324904648823588 0.0130069109929511 0.00386914912604277 0.000597601851763746 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.129647377274805 0.115913641274201 0.241245312836118 0.282552835095196 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0347108054111559 0.0205181138965882 0.00444228964034821 0.00132299864974985 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136608620018732 0.129360443085265 0.236275363755078 0.280494188249497 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0454022546244877 0.0381376894112419 0.00710392611821417 0.00407472211533333 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.197175420422023 0.196744547809896 0.261786894624054 0.321210134181956 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.105472783012195 0.110811405592272 0.033540870162601 0.0304840681979205 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.268387651277574 0.263624011750378 0.320459366711126 0.384478707410976 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.169600311171552 0.181819977721561 0.0835058366962426 0.0774567046727601 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.241972043451282 0.229245014399415 0.192112400754182 0.368373411367825 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130690876215443 0.0187450872481433 0.000651916469842275 0.000316476916824349 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.242209049946109 0.229459602577832 0.192149646020783 0.368897797362493 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0131470477115668 0.0186980348801996 0.000659338183188641 0.000321752560976495 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.242145135970427 0.229335303514332 0.191959610631808 0.36849022669572 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0133799989174897 0.0187714800970391 0.000681435317073407 0.000336005169864871 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.241379530612359 0.22841221329049 0.18970773102392 0.364003853460417 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0144333162771257 0.0194795105555087 0.000775428097958501 0.000391670651749981 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.245375505816048 0.232195951043831 0.187127967483547 0.361485731736724 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235427267504427 0.0270679550385489 0.0017774922585061 0.0010010516270424 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.261392924680775 0.247209315735685 0.193965467771576 0.385001600178785 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0348880246845648 0.0375261526746631 0.00362124384682576 0.00235917838923746 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.244969326755257 0.232242030218055 0.195302501867811 0.376549076346987 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0137200157436513 0.0192297495358177 0.000702378784709569 0.000358071933784906 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.248458157060028 0.235390828218963 0.196798163788574 0.38168562489344 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0163447602748591 0.0212782562271892 0.000933418070810366 0.000494558206699419 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.256714723438342 0.243479756667717 0.199982046888006 0.393450337907042 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0241767823894232 0.0282098195142634 0.0018490998686975 0.00109654417786315 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.30090702962133 0.280590412514781 0.220264241705806 0.448199527164485 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0631677911018166 0.0651679871338803 0.0109047077191672 0.00870124468300197 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.369310400764069 0.329606918399645 0.269420455390661 0.551047512897709 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.10287909334083 0.103674115299129 0.0274123354594053 0.0244049010676524 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62656240716676 1.58692032514449 0.911677976822437 11.0913245103095 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0170346870379766 0.0585905993813917 0.000726242323935006 0.00819498738288395 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.6265505701923 1.58691004437878 0.911785386616528 11.091197946126 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0172084338917852 0.0585739958057653 0.00073186368422078 0.00820040177584114 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62683307792898 1.58729500886851 0.912045012749481 11.0964745508281 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0177282060486024 0.0585893104513664 0.00075048797526932 0.00823376100294002 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62722434463404 1.58791447752678 0.913005411555098 11.1056375162943 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0192995425405405 0.0586522527415839 0.000819526317299394 0.00833569291846751 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62573556502369 1.58852895067148 0.911325734292883 11.1150736186021 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0287108746831965 0.0625435672703015 0.00159443585261158 0.00953837772941886 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62248036869562 1.58942871855624 0.906027933107548 11.1277632564237 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0397388763227989 0.0711715791418652 0.00321927294594344 0.0120427646286377 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62613498485321 1.58643460015222 0.91116025370949 11.0843401799503 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0189102709299192 0.0587064760588541 0.000800249584049468 0.00826080296898592 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.6264508051764 1.58714835486421 0.911751753279893 11.0947547320699 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0227597296556706 0.0596272822470976 0.0010434670253346 0.00854434544663223 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.6251506512578 1.58764351607003 0.909323956839604 11.1018749879481 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0323871365289825 0.0644909321487496 0.00208513539602823 0.00974936535004724 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.60903594835162 1.5935703880699 0.874273702466075 11.1829111242697 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0765997327925159 0.101105445161827 0.0143325863655084 0.0232736568516245 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.57526337066602 1.60340303348375 0.807460062435639 11.3201804608968 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.12166725217009 0.144999238144829 0.0399887768149752 0.0513120888485014 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126269926217681 0.118781758574314 0.0716872357640922 0.11987655540647 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00914761791382836 0.00796379150503339 0.000390409656787812 0.000151751345698518 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126380939577227 0.119017517309726 0.0717022870907954 0.120029897470469 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00926729801304326 0.00814891747748768 0.000398012433469707 0.000156859640945882 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126746258797575 0.119679701750837 0.0719268930766696 0.120657180299337 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00959346281053215 0.00852987882173546 0.000419912869590809 0.000168196813005694 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.127329203365611 0.120865056269078 0.071975508836101 0.121174968376779 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0108355361118868 0.00987933009410509 0.000507294020230519 0.000218303564916135 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.132961785928807 0.12659962943856 0.0719573634985119 0.122571092273378 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0200586231189041 0.0180326853493054 0.00139025345120784 0.000738446026898265 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.141725056895544 0.134079177462022 0.0733795555944803 0.126223855823782 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0310795942958186 0.0275356699995636 0.00302418895695885 0.00177409013075688 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.127057912757619 0.120431705783579 0.0719422106568611 0.120975745510141 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0105181574385128 0.00939102764200657 0.000484888910727235 0.000204811452289179 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.12941238900491 0.12339196309421 0.0723217623904575 0.122691868432876 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0137861495804148 0.0125597949767655 0.000744710409633735 0.000362168665773194 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.136333921678097 0.130096070050924 0.0733426030522988 0.126406955018769 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225564235693529 0.0202920746557774 0.00170747116483111 0.000976260320629298 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.173498762354278 0.160555683397059 0.085218399149805 0.148931904174506 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0614065559092919 0.0548140957712808 0.0109604535970551 0.00736330157889743 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.220030259704627 0.189912950560548 0.111381983976777 0.178459304865482 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0996709409633211 0.0892062933193881 0.0283322321995249 0.0191821588637706 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449940419563066 0.435533176636573 0.654825112908606 1.37373045807115 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113231340856372 0.01280925062027 0.000490979693070917 0.000330570235049787 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449723550161442 0.435417584524235 0.654667642897827 1.37295991384095 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113769785158954 0.012957868526814 0.000497535552226547 0.000336693548887014 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449513957424639 0.435521979493422 0.654209744224298 1.37224494270231 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011556066750288 0.0133735254377862 0.000517910551401356 0.00035252031904724 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.450655461831601 0.437201897184776 0.654402477702803 1.37621775078279 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126918554404708 0.0147106249837763 0.000618393781429888 0.000410986148674254 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.458074316630137 0.444632112455235 0.654169520567971 1.38961375035083 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225354957833434 0.0234850121908733 0.00170968202650531 0.00105009409795652 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.466456549499694 0.451455677825784 0.653978441953472 1.39983873248482 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0348687109958135 0.0339859338649475 0.00378781700349262 0.00235249986601055 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449125149581873 0.435994449272252 0.654002365341175 1.37154783780077 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0122463271481435 0.0145956071970597 0.00058735997733885 0.000389430552521635 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451572591978108 0.439054018822712 0.65419910550925 1.37696784167391 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0157062862131005 0.0180468650700434 0.000912189245047591 0.000574891256198367 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.457451598956508 0.44496140137973 0.653429096830429 1.38446191418691 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0253207997544274 0.0266103246430137 0.00213877771934928 0.00134406572493319 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.492749997138339 0.473863777439002 0.655674769310804 1.43539511268078 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0686461481885096 0.0669195511793071 0.0140710238623315 0.00993343013829686 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.532567963986291 0.500498103295986 0.66259968094438 1.48770719077477 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.111236941327219 0.108535277842037 0.0364520400902572 0.02660691643261 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0903994322171714 0.0804415491276451 0.0742862866107527 0.0927576834261134 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0138072466956174 0.00655218443716593 0.000772231487579679 0.00010970827815657 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0901833041570175 0.0803416682776177 0.0740744000915679 0.0924988869520524 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0139137089393183 0.00672949926256294 0.000781039791956605 0.000115320424050514 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0904030870951411 0.0808651925666564 0.0740817798049742 0.0927241041034376 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014170292938565 0.0072696369268112 0.000807726088424045 0.000133773022557905 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.091295365235251 0.082570594529855 0.0743515344325087 0.0935734118498745 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0150972600421206 0.00898516984059548 0.00091202254020261 0.000205096034804558 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0987430776570801 0.091438985940211 0.0743718249087118 0.0957990763684772 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0244629594532085 0.0197408244125102 0.00211349062556995 0.000976333703129595 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.111466623977708 0.102957920511764 0.0773300723264824 0.101686194866262 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0371527445159969 0.0316695020434587 0.00442311727110626 0.00249946438267125 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0915668934549148 0.0827294893601507 0.0748784340121952 0.0941033521240711 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0148325352364412 0.00866466487112409 0.000881736672646812 0.000184178097988926 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0940180605127302 0.0865783323218542 0.0752608944977515 0.0955230815172741 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0175701134556145 0.0127130302648221 0.00119777138543433 0.0003997685922702 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.101560984276224 0.0948270100043349 0.0763405584011065 0.0982359573595465 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0265862856230054 0.0223725736678757 0.00245815246332536 0.00124928872831146 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.144768020387369 0.132071087953515 0.0891638985546522 0.116402302382271 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0700967038757039 0.0634914933131269 0.0145044261582745 0.00995510766221662 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.197067871054523 0.169919850457983 0.118933871852208 0.143419728633957 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.113368648235684 0.104119017066515 0.0364662438375513 0.0260133532884355 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.262689822998872 0.252008349264767 0.338869827637494 0.56730890607174 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145226367688602 0.011574868398962 0.000893576210107272 0.000145900697350917 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.262879698765405 0.2523427362029 0.338509667274061 0.567586803838179 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0146964852235973 0.0116989784013451 0.000912192232012228 0.00015415270168905 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.262733017213571 0.252642285407371 0.33847906159687 0.567654950512595 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0151015364256004 0.0123323513014629 0.000964317337368748 0.000184374696635118 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.264888641515938 0.255756363443146 0.338734912922632 0.571893158329612 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0172170173041715 0.0147713094232398 0.00120934701842703 0.000314399475180542 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.278282646270201 0.270037493272509 0.341691436898231 0.588218075015706 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0332096279300618 0.0309023269990877 0.00373671903480229 0.00190693513237185 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.296002810574582 0.285915293776519 0.350197134590626 0.609332887174252 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0522563882425388 0.0491893580732634 0.00847684527341669 0.00529978658819079 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.265887374270449 0.25651355846718 0.343313987139977 0.577942428882936 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162892708368773 0.0141479771447616 0.00111155634714014 0.000275665272206945 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.271500067288114 0.263211696858232 0.348368411101109 0.590211529050687 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0216684021602993 0.0202590734127267 0.00180573492197994 0.00069630206948885 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.284646275246749 0.275932157388953 0.356523404679379 0.608375690228831 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0362844691586014 0.0351404553992915 0.00442664040311123 0.00250519728070846 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.36337392423774 0.341004650205069 0.431229737305709 0.737134716253184 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101203882997004 0.0989893391218816 0.029925575672995 0.0225346207294183 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.463246079684543 0.414561492293821 0.570199304727407 0.934489002529371 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.165128413125637 0.161413836703778 0.0778491244336889 0.0605519694632534 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35649256697325 1.32698897303757 0.471672314669353 7.55383213523767 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00835174276268137 0.0358028321775883 2.78557559033797E-05 0.0016848939606795 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35634235458947 1.32688360680212 0.471782703070504 7.55263273669994 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00855564572391677 0.0357113634463722 3.23467407153542E-05 0.0016772099933885 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35627888860711 1.32689830633731 0.471942080335811 7.5527839128828 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00902305950702224 0.035621918712556 4.51020765868785E-05 0.0016817270975988 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35609078209421 1.32694516937451 0.472211634403078 7.55330050057796 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104663972008852 0.0354923578451874 9.75812253053865E-05 0.00172730049006808 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35464156521152 1.32752619649117 0.472638760066314 7.55993817696359 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0203177316887875 0.0394803479456441 0.000752852861952279 0.00252553920210097 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35196051675376 1.32864617945773 0.472095185074878 7.57291030543295 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0318605544355007 0.0491781898241846 0.00221049431549878 0.00441671220165257 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35633051185835 1.32701371636949 0.471629399471733 7.55430453889807 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00952807448273133 0.0357929794473325 6.07839465609537E-05 0.00173125241533723 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35591585491063 1.32710209184565 0.471369683974789 7.55554292304029 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.012112667363479 0.0361377505516772 0.000168039211320156 0.00190719934335248 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35447258603908 1.32763542068645 0.470209771000426 7.5620846015386 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0194888744805692 0.0406564356053699 0.000659788187558204 0.0027567647279708 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.33825339161262 1.33194699998819 0.45701248390112 7.61490170930893 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0532199727307632 0.0786556214095241 0.00677886724742377 0.0135959009424985 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30362338854273 1.33760392529713 0.42949019411917 7.68436868894267 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0869029206696497 0.122496292313464 0.0196573648109157 0.0373414342201969 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78114274019996 1.76932927469129 1.06930997715516 13.6385115963564 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00617858520214663 0.0397389076398713 0.00013937975703265 0.00403716985138151 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78113419498105 1.76935119236722 1.06902076900413 13.6385471654962 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0063222329523301 0.0396654753047482 0.000144655358795422 0.00403195417000114 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7807853709446 1.76904497801446 1.06969581732548 13.6349207469971 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00676947115456631 0.0396236381156965 0.000161767149676844 0.00404054874257736 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78163809647855 1.77016585160835 1.0671967524412 13.6488781349963 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00839436637442191 0.0398109216242022 0.000229257937940983 0.00410816469284153 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77898328422519 1.7698788000881 1.06135390942353 13.643794788179 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0180774462271137 0.0454667254682845 0.000927057519067976 0.00514112233345678 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77402704114982 1.76950641911289 1.05367024434375 13.6408157338074 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0288392829522412 0.0547906146147505 0.00229939112529264 0.00733224256141132 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78049821724048 1.76906024372857 1.06948879522443 13.635498228435 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00787191603641463 0.0400601109238373 0.000209956413527404 0.00419505841681109 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77932771877171 1.76862526976995 1.06987937467481 13.6310559553983 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115625640168595 0.0416618428105452 0.000415234613754289 0.00455700305899206 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77686098789705 1.76891676427954 1.06520163601925 13.6358042304874 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204415704914073 0.048220932754036 0.00120928668085748 0.00592633802915784 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.75049757307873 1.76870058928955 1.02070575112906 13.6405261988459 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0578259186462035 0.0879649627609982 0.00935517676402859 0.0201504731489458 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.69874765644745 1.76296372991632 0.958902943845471 13.5865844795036 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0941752541835626 0.133872581250034 0.0250179716506129 0.0501850738889129 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29920651572357 1.27343931103973 1.12959254704376 7.6043031361583 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00785592637577956 0.0229514738035355 0.000114109643319413 0.000139322821004749 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29938087246543 1.27360400106525 1.12936609510649 7.60575657951761 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00825925200059768 0.0229905897082851 0.00013055929247397 0.000147566403011529 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2990848488777 1.27327906725324 1.13017554000029 7.60299698389696 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00925163552263125 0.0231624554144092 0.000170447629319326 0.00017248192996516 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29861522507913 1.27267290253815 1.13117881437305 7.59708076836658 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126401268170018 0.0241505483381344 0.000345269834907277 0.000272433110425504 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29851829697889 1.2718675198955 1.13293992163371 7.5882799510967 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308812150936298 0.034810230269963 0.00233825365161361 0.00144057955161539 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29749871734026 1.26947591164228 1.13768864317652 7.56609810542212 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0503521927553267 0.0503879303595838 0.00649323545360298 0.00403867398893367 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29842268601377 1.27256503991845 1.13177902403205 7.59601596286845 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.010793284930585 0.0236812213198032 0.000243408572850723 0.000224733481119023 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29708193339712 1.27086906634705 1.13525084994173 7.58020308296484 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0169485273754326 0.0264556858459554 0.000661859576303834 0.000492221817851026 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2966617663668 1.2694477712997 1.13942176055121 7.5661248746158 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0312413273325146 0.0365503717886367 0.00242470025929796 0.00166958971977773 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29420884883556 1.26100472575415 1.15679861663741 7.47796298188658 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0903764798151762 0.0904376544125088 0.0224005470933086 0.0158248770159321 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29516887645946 1.24972903283958 1.18616879306434 7.35623296747149 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.149026104387049 0.14615692461891 0.0640997325061554 0.0438050647543828 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.128075483165309 0.103468413650667 0.231687379846933 0.263926246107868 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0373249344355822 0.0124402449959525 0.00508015422652076 0.000560382090889417 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.129257805252598 0.104681098643082 0.23429753892627 0.267414107932231 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374151022934006 0.0125629689521273 0.00511512939946723 0.000575726923537868 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.12838204168133 0.104127438584583 0.231975136828637 0.264285227198573 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.037544382972808 0.0130873716663946 0.00518100550936173 0.000628270484810044 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.129185225416029 0.106785293664975 0.232968291290904 0.266134539927438 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0379219035348456 0.0153782892528261 0.00539128809548272 0.0008456753121578 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139604238907506 0.123295229544993 0.236946277989655 0.273893919916292 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0476288023319219 0.0319044770001492 0.00827422366764192 0.00310162505113667 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.157253000648092 0.142146981412658 0.24426160575981 0.284971391985243 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0645036815546383 0.0509080361926001 0.0140644384475831 0.00732544356217817 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.130044851030073 0.106421763526287 0.235199379744332 0.26845173150974 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0377675474778446 0.0140877604559821 0.00527642293135966 0.000721717006225063 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.132861606072338 0.111887249338264 0.237299786326779 0.272082761136888 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0397382324294458 0.0189708064661278 0.00591374434538418 0.00121514511088099 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145154726354525 0.126508915455311 0.245690555136576 0.284715855167113 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0496008937585201 0.0317223749378035 0.00881143179606587 0.0030410375004783 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.207108888391216 0.180918737737728 0.274394739321277 0.318669187029983 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.109781020794633 0.0885536534006602 0.0371060429143485 0.0202867156502014 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.283509697813406 0.237053651994341 0.33703153736907 0.37060828969194 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.174528035556067 0.144468270650292 0.0886010162654273 0.0504879731092848 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.243861816410846 0.229531997726184 0.194253799348506 0.36644706761121 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0176604159986927 0.0257842504297141 0.00141539450714274 0.00128993861616637 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.244227362129217 0.229700139224627 0.194495710066188 0.366731363616159 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0176118443828966 0.0258448773102054 0.00134899661012806 0.00128949204486477 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.244307124124406 0.229594752329635 0.194471900203043 0.366196990883138 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178484801928894 0.0255492197575933 0.00137683978342052 0.00118780229742648 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.247215955015714 0.232123438969638 0.197095118063145 0.372328403834409 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0185612789245593 0.0256124921186906 0.00150203452667741 0.00106781445781126 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.258056750051243 0.240723382279784 0.203249170063919 0.386759701330401 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0263849991074978 0.0308146557578447 0.00245868569447163 0.00140692871905952 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.273229739351262 0.253758724052094 0.210472996220167 0.40872043695958 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0367951394679108 0.0389204764237886 0.00430443734462903 0.00234136785988642 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.244969232104778 0.230845229364756 0.193887094541054 0.368495683189077 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0179475881934496 0.0252331021354552 0.00143504394487348 0.0011041508183642 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.251487545181694 0.237260835051436 0.198328304385582 0.383243581120949 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198017224744386 0.0265906243988968 0.00165640116716312 0.00117268603060831 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.257197123463943 0.242589712871482 0.198264264243346 0.387716565205043 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0267645629938671 0.031712932012674 0.00260581080199959 0.00156332281476554 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.298713317668307 0.278213558811006 0.212653645548694 0.439543270851172 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0628560325974272 0.0656694469013056 0.011133147453305 0.00875029247232611 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.367816255091293 0.325490338570268 0.254784607111375 0.534790998628251 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.100522320139817 0.103164036946716 0.0277676973805083 0.0247148581897194 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62263496021506 1.57346415260829 0.884124591223915 10.8866474614917 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0186701356926864 0.0644031520456447 0.000810621117342507 0.00806177665572548 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62253882652654 1.57345444311385 0.883781274100906 10.8864719136339 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0187907489977483 0.0644280088490984 0.000812600056312764 0.00808245045345133 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62165443464456 1.5725627353346 0.881234321309983 10.8721908181511 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.019140615826289 0.0643514537491741 0.00082525737048673 0.00803257285847271 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62197601524637 1.57342653113659 0.881904167904552 10.8855992042835 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204776961132721 0.064586120067172 0.000905705687163435 0.00822850004588219 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.61866998487217 1.57328940524012 0.873803900957864 10.8823750907548 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0293348170506524 0.0680367805317153 0.00167803672658846 0.00935790823057641 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.61325629809027 1.57378965188414 0.861519876399003 10.8878529444381 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.040328781630385 0.0753669357564013 0.00334706711621384 0.0117007687517084 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62255806751371 1.57378970102522 0.883231787197775 10.8907074215237 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0202278499659145 0.0642687600273218 0.000926548805322 0.00812051222524446 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.62106198673716 1.57305217765353 0.880039767654874 10.8795152405324 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0234411038200931 0.0643115072705594 0.00115930741039518 0.00829909547841456 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.61708933620846 1.57192764259714 0.872343467995772 10.8622428868394 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0320159397363648 0.0668197554209176 0.00230653640447999 0.00921138235208047 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.59183364573297 1.5776734739653 0.831583541365459 10.9466193236708 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0702067883722294 0.0986065219607766 0.0118702612410543 0.0223450689793552 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54006162117192 1.58408004093073 0.752827963642178 11.0243313862074 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.109079476852736 0.14077831325059 0.0312903442557282 0.0507201999798834 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126203896120009 0.117008118554446 0.0711544301438166 0.11633736594351 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0116359171335852 0.0128090915194573 0.000610438145698845 0.000606203021931887 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126577838052436 0.117435392709337 0.0712776516065051 0.11683326988793 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011717840670619 0.0128200373207038 0.000618343863103311 0.000595743481519216 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.126983228334131 0.118051014394435 0.0714722906541245 0.117472712966284 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118760391288132 0.0131622204885897 0.000631963699645861 0.000613101824262445 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.127617528618982 0.119326610577459 0.0716466674452635 0.118292917038051 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128447340899935 0.0142755821208888 0.000721480251408391 0.00068055238245367 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.13540389890431 0.127307264539178 0.0733270761036875 0.123770226004219 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0211055016391112 0.0214873486364087 0.00160876047949992 0.00129653647541937 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.143465874254919 0.134185822447815 0.074300562778447 0.126805386006088 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0319191671835412 0.0298969796354426 0.00332238339233806 0.00222211395218616 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.127282952716375 0.118925537816433 0.0720329020531082 0.118331296068021 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126564327639097 0.0143923024430674 0.000706919348574014 0.000735009615529772 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.129348774883177 0.12206612116892 0.0724056963785112 0.120233916325224 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0151107974807658 0.0168942684823692 0.000951427288876624 0.000877730113927678 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.135731541797246 0.129022406733053 0.0737433035833629 0.124533815872963 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0226347138300248 0.0235600738862687 0.00188747057543247 0.0015128359008677 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.168819568209279 0.156084912860832 0.0844046251096778 0.141935336397705 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0582591043878292 0.0557386642016212 0.0105204292353212 0.00745792961380054 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.215976955543286 0.18621199052185 0.109117488351028 0.171432293459013 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.093892125509205 0.0889670953901785 0.0266318544834288 0.0186316640084348 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447881556410991 0.431365805775954 0.645675263847975 1.34430022096981 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0140445400691083 0.0171498604460372 0.000768942476022567 0.000726393274424299 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447451532917872 0.431050778560821 0.643794252284069 1.34124029198169 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141571975194817 0.0172251738682889 0.000781074658289795 0.000738335120563879 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447996271706546 0.431876569922466 0.643784785849408 1.34355844676177 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0143131916211942 0.0177045525166477 0.000800009133218163 0.000771125370362944 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449506085248873 0.434120027678098 0.645933383310907 1.35162130247241 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0150939223060603 0.0189615052018572 0.000892862875102169 0.000850774923070085 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.454158410595004 0.440056184989926 0.644608151017526 1.36044011670453 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0231275932963852 0.0260150515485902 0.00187656656746265 0.00139818212936678 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.463550593511325 0.448668770598897 0.643539247860206 1.37799220372951 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.034391444541985 0.0346978413909055 0.00378441930031719 0.00248899707303091 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448245772762371 0.432738629107277 0.643219848326056 1.34568729036485 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014552708970774 0.0180772002020754 0.000846339928964138 0.000778564325445403 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448416204253965 0.4338379248967 0.642337794087717 1.34568774738021 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0167629538437642 0.0203099284405041 0.00109140715912018 0.000965858396648565 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453872931833772 0.439258880035679 0.643066044355884 1.35724903874555 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0248656291269553 0.0260331653537081 0.00217219911889204 0.00141833616894569 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.484616838518827 0.463374945542065 0.636692202341053 1.40353991289278 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0639590223072505 0.0550726670684081 0.0122037987075782 0.00658440346412992 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.513003204916397 0.480904381310644 0.625475755631054 1.42538502941355 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.103339354329312 0.0867803870429293 0.0307985664194164 0.0170430230146441 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0894539810819333 0.0771411336588553 0.0713595220234813 0.0865927822385838 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178243259414432 0.00987395483992182 0.00137271905601059 0.00041566116165757 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0902320600567641 0.0780352203963707 0.0719592402144992 0.0875992578014204 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178776468063715 0.0100231142444043 0.0013746502902929 0.000424932810079487 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.090327751642407 0.0784559257610971 0.0719703948236054 0.0876650553046313 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018165951220169 0.0104477229971662 0.00141223874499896 0.000435118404721617 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0920127175293555 0.0809814545450656 0.0731281122235956 0.0896846908642577 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0189523427467264 0.0119385924338346 0.00149544032348878 0.000485257196164962 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0993487358968384 0.090575215988311 0.0749677909106694 0.0936596883691068 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0263137719574554 0.0215363581148182 0.00258133703686165 0.0012692829540967 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.109559346731758 0.100471231631587 0.0771668733104406 0.097212199213664 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0373390130935118 0.0324587635283467 0.00469469584397629 0.00270861644493464 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0899243678313973 0.0785145976362669 0.0713396956715103 0.0873570400411116 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0182029857943265 0.0110430215855919 0.00141532211869814 0.000492512062556908 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0913620255350844 0.080904920208813 0.0713013382922153 0.0881718442780403 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0201101164786318 0.0135200584451791 0.00167776180237208 0.000620117864219139 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0980664153818023 0.0875737030929478 0.0724145878393541 0.0911668022695881 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0277670427039069 0.019900878855401 0.00287784187330401 0.00107582090620225 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14018358745089 0.118919967418154 0.0843990124755539 0.108169805951295 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0682713325014403 0.051190950479276 0.0138933160687184 0.00643196545564165 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.190183649582023 0.149182605685595 0.107668754151138 0.128435912599154 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.109996125215406 0.0824923226701379 0.0335775400390975 0.0162777091351193 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.261882269067206 0.248983081056068 0.334685212708576 0.55223524505299 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0185833058665413 0.0155283330431302 0.00148086729474216 0.000451821913241574 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.262227589191364 0.249404697630783 0.335440069886499 0.553680411997753 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0186071930367132 0.0156296658009773 0.0014880753509345 0.000451606370918977 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.26350645829005 0.250987485795842 0.33678173187644 0.557607156889353 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018889801604827 0.0161185568456079 0.00154507798644023 0.000456903084790554 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.264592048890218 0.252989447588649 0.337756906192298 0.560347476047739 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0203388267341978 0.0182933883936915 0.00179676594189374 0.000613055115155714 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.280054016515449 0.268906170361452 0.346863971557296 0.585311858047405 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352154933168971 0.0325737281387882 0.00446770636162147 0.00204759807790273 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.29986049651123 0.286508090193128 0.360013607013266 0.614741950284485 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0537851050570981 0.051047802327139 0.00937188179802506 0.00554150955852656 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.263676957965646 0.251963551757539 0.336525185873628 0.558568323446133 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198928455892705 0.0168564181825299 0.00169255180624057 0.000493635026167722 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.26916868301128 0.258727604829666 0.34049543935048 0.571421853698175 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0239012233564087 0.0213980949005237 0.00228860293209193 0.000799627520947798 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.277563403802198 0.267343941099209 0.339713815722824 0.574985567579873 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0371879966403244 0.0339032169269728 0.00486499398988936 0.00228546761770195 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.346300339838608 0.323168206711674 0.394915987542271 0.673901646708195 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0978034406382146 0.0917603430822408 0.0281201624135071 0.0193025545447678 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.437489051823571 0.387217853064726 0.510512788136779 0.83391852057462 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158594158724588 0.149345775978431 0.0710935405154306 0.0521041349926188 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35124968964119 1.3141490578285 0.453061128202055 7.39695245998536 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104358037291265 0.0402916098589017 0.000264966049296669 0.00164563831121607 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35125850151028 1.3141431964247 0.453123858478592 7.39690798194818 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0105610090196117 0.0402690526161349 0.000262551133007727 0.0016485234778412 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35123549917422 1.31414434041201 0.453158901293092 7.39694626188297 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0108886378520064 0.0402499996601246 0.000264693721439521 0.00166246818287184 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35155508786228 1.31466020154733 0.453926815788279 7.40333912979625 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0119814286522505 0.0402324719709839 0.000323109359450476 0.00172757857732502 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35052509313881 1.31577349349799 0.453960702859811 7.41710225550842 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0196320747248737 0.0429116811672728 0.000804341884479075 0.00248363871851792 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34671193808039 1.31637999642253 0.451224348613868 7.42471647556881 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0296084013769912 0.0508600429909498 0.00186882772269332 0.00414940805853414 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35094140755858 1.31414826832561 0.452392953595702 7.3970827843212 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113143519232583 0.0405806133886639 0.000279195810261382 0.00177983705413743 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35038746603459 1.3142934429185 0.451551046692936 7.39895516302079 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0137248532742049 0.0410851231994959 0.000360010371726939 0.00204664942433606 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34828358337662 1.31482971666311 0.449027286216007 7.40561361108816 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212682186799682 0.045436705701721 0.000877520081598414 0.00307779707332728 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.32542404138943 1.31969517879826 0.425523142199802 7.46369369443238 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0573744954061211 0.0838843325229357 0.00814752340278602 0.0150527759653223 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.27924344155426 1.32911657252216 0.389427336867601 7.58000329785637 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0972318503062707 0.133116828454659 0.0395167528942528 0.0539691910086246 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78284375292302 1.76541796660889 1.06564322392329 13.5752644547012 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115974829149141 0.0439956814135452 0.00115155079216547 0.00421467482291623 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78279894241758 1.76541458808962 1.06555364925853 13.5752097478277 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115525775622846 0.0440264309378435 0.0011102792979684 0.00422825264112627 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78299579775449 1.76572652053708 1.06457920071048 13.5789075483165 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0120038174454154 0.0440763431351731 0.00114563642243423 0.00425480064276864 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78227596586816 1.76531782841296 1.06352389451683 13.5726357161499 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0136026872851937 0.0443570760365402 0.00124292265830503 0.00437307971505854 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78044050271302 1.76698708526367 1.05799026297975 13.5988714322483 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225809206785258 0.0485848476341346 0.00198495177817741 0.00546764008759257 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77285982108813 1.76547305538818 1.04138026903591 13.5738893850221 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0320652021645725 0.0565023844726992 0.00320275527123063 0.00742535046113168 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78373203580202 1.76646503615611 1.06432575822773 13.5887445720317 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0125564096424298 0.0439404852598696 0.00108823608807635 0.0042146905976221 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78362236223898 1.76697538291605 1.0626554350084 13.5954483237991 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0159404946981175 0.0444032605801487 0.0013816222698796 0.00434614260884312 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78213366223105 1.76832558157659 1.05663615443298 13.6144992894045 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.023270854708773 0.0484036697631089 0.00209078114038239 0.00527816983873379 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.75029252883005 1.76638264746122 0.997188782356513 13.5956110513289 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0572020641297595 0.079149889922152 0.00908670311381441 0.0152075670559688 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68375607287186 1.75732940706105 0.882778364952035 13.4725270884931 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0922888204101194 0.118194277295867 0.0234265429688846 0.0384488322569689 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29745432726795 1.26701611071746 1.1237710324112 7.53106387823134 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00966658753874024 0.0272447097207022 0.000215243187442526 0.000240496591658694 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29741853526544 1.26690746044446 1.12399245746702 7.53012697194014 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00994778458239597 0.0272301802244875 0.000219079011002428 0.000233819240783818 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29723592971831 1.26660789967617 1.12472153440868 7.5275219281122 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.010720082696297 0.0274782818144129 0.00024613218057046 0.000276670491264341 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29832326495682 1.26747431503498 1.12312207199741 7.53421870382209 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0136024939913238 0.0282032526902877 0.00040325034244513 0.000351668724721917 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29975048186374 1.26793821695637 1.12384889583558 7.53707854188322 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029431996877 0.0370682282393893 0.00209896952691772 0.00141755436998684 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30121351512621 1.26795471216241 1.12391245374368 7.53588291890858 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0466356245376685 0.0509716058462501 0.0055670925773405 0.00369936264498609 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29636334264079 1.2659676006928 1.12583298380288 7.52175361978366 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0122952650217628 0.0275939573437251 0.000346470610765768 0.000304273882724912 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29469545375258 1.26435245794164 1.12745020144162 7.50570729170121 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0179159450884738 0.0298171244833486 0.000752357071843565 0.000564578846376889 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29291943275394 1.26232982819599 1.12946477744001 7.48455412679858 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0313108868380313 0.0382271635893903 0.00242517569785867 0.00161887509291967 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29202975785194 1.25778989994181 1.14065926753803 7.4386198062844 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0888683892572569 0.0884250000558519 0.0215775019991822 0.0146118160976913 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29228282521998 1.25514327180771 1.14796840735282 7.39735680430109 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.145893253781304 0.141927309438056 0.0613140850562558 0.0406432565823935 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.205673722006989 0.17795286618028 0.367743797170831 0.477507429575207 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0607668573064104 0.0423585053103752 0.0160386546345808 0.0310888967897297 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.206055528437878 0.178419780474313 0.368067649382607 0.478554030317817 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0607428640825482 0.0424691162660799 0.0160270550068959 0.0310699240483766 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.206515819461553 0.178880659813629 0.36891622431893 0.479023193555879 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0608221344925268 0.043151394343306 0.01607218653636 0.0312983832915219 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.207076429942901 0.180070029140334 0.370989634705417 0.480262210491697 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0608631395226951 0.0442914891903016 0.0161240000464457 0.031779550080141 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.208631298570375 0.187445038003869 0.364754567428814 0.475291650349254 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0641822811251132 0.0537408066503941 0.0181789105938085 0.0330705139411127 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.223581199461812 0.202258157050809 0.370930653450683 0.486750655764718 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0739735146070453 0.0693618798665548 0.0242370916483856 0.0397642622381583 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.204955798774569 0.177379669294316 0.368223669983424 0.474560084138107 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.06119753937272 0.0441987623902461 0.0163634368223855 0.0336274482274024 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.203280796996655 0.178117126153102 0.364270190054865 0.467754672575981 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0617341665264793 0.046913274501773 0.0167590277914947 0.0335382844813664 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.210505599832052 0.189429021519013 0.367742755083795 0.476982090828662 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0662346293026335 0.0581414520097705 0.018967348288917 0.0379536304942223 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.287507222701334 0.244486851865258 0.440248320322084 0.516354132906715 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.120863814227206 0.130036112281153 0.0732599443490623 0.113397618772009 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.399669884367214 0.30222426993635 0.564989884443615 0.570967569939911 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.19250163288297 0.220027037811294 0.160781201461629 0.269964832320862 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.378252170850671 0.389677434528017 0.308582993626741 0.928738990131713 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0513863827003919 0.0974453707077965 0.0328701734467869 0.0961824133723028 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.379502745540583 0.390146579606535 0.311128050831707 0.930819566285028 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0514977129000026 0.0978037066927174 0.032853579406787 0.096329270778438 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.381122168365524 0.390908654740152 0.316125631977067 0.934415383366959 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0507006547178905 0.0973962855850465 0.0317366911201724 0.094713303485286 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.380895378758878 0.388970964859879 0.329125710397946 0.927957289526813 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0501806510097017 0.0975018796332802 0.0310627027626111 0.0942453851374251 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.385165792933572 0.385047744085297 0.400516809394553 0.906884964250231 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0544952146580732 0.102954958396153 0.0328886480894766 0.0994616594795864 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.402007734498114 0.394622546743865 0.458483927250468 0.927016254041679 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0652768613771622 0.112390548376493 0.0405043666647167 0.109093508928803 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.381670734771182 0.390483077105868 0.316736277550705 0.931790694759141 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0518029256992473 0.0984905093361597 0.0332621092091305 0.0986851681529293 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.389600207654381 0.391268777446482 0.38141593206949 0.934454000123297 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.052280464563044 0.0993584078384326 0.0330071800550335 0.0996866752282031 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.398068019014972 0.395510645538544 0.411814981869525 0.945236657837394 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0568659247796773 0.102230572832308 0.0336220346070522 0.0958166707019658 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.463290714221352 0.423168447156529 0.585368816000778 1.00302938507888 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0958584044939263 0.128369388246873 0.061266296887576 0.114532125086379 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.556264855564918 0.463940968831293 0.841069164299016 1.11819017237045 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.147535691872514 0.166505169409839 0.117929532821053 0.159278105307722 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.58822514409124 1.53117899294908 0.858499244119447 10.424506088243 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0376914371594642 0.108773468951325 0.022656458029947 0.091137600248821 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.58803555752083 1.53126543104942 0.858631323963299 10.4253409810888 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0376708840744815 0.109200381163634 0.0225639743856004 0.0918900005991797 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.58740343359089 1.53147757279988 0.859477159752767 10.4279061664683 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0387729369668828 0.109276404694217 0.0235868885255547 0.091966082806696 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.58617956716225 1.53210888345957 0.862757734006731 10.4358483313468 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0415740329830878 0.109241443203967 0.028642784120653 0.091357458406287 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.57969365724246 1.53515175395539 0.871572245220554 10.4772416249014 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0499205195934348 0.112826028136138 0.0324965244533401 0.0975364793737638 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56641692746714 1.5397225541954 0.863441751441807 10.5401711079365 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0627243807714938 0.118704520751024 0.048155301698625 0.103088823856132 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.58820339757039 1.5321182481831 0.8606734478855 10.4372100923862 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0379319518738938 0.108478797226289 0.0226006050876659 0.0905388436189102 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.58549022196885 1.53345225634612 0.863780192660428 10.4559616822135 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0408870572643099 0.110509328982856 0.0240104175178402 0.0954644661798443 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.58003043108861 1.53490217192819 0.872937518572463 10.4741925504536 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0443425159678096 0.11044285256125 0.0214669233110645 0.0898929642697155 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.51698408624802 1.55310416382604 0.866390239941355 10.7243602275192 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0993611736026102 0.149196577624693 0.141986679619326 0.188408053885122 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.43768236303344 1.5834419596132 0.915444906174049 11.1518740632246 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.172820141935917 0.208725696843098 0.334177523889245 0.328290410003196 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.17655154442605 0.162287110181899 0.0967506324549691 0.186045130772065 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0344557816394006 0.0326037619382682 0.0147867016124811 0.00976121511002923 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176666711692157 0.162267442520985 0.0968188653593953 0.18590169279661 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0345280271581442 0.0322412963596391 0.0148316147150697 0.00921514694439688 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176832914691833 0.162410515905142 0.0969462147454837 0.185879174168674 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0346620687839451 0.0325708511674079 0.0149243824624128 0.00935609837140704 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.177359941092466 0.163097466702268 0.0973938523482802 0.186235494268005 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0353380057604704 0.033174135831426 0.0152076712117826 0.00941308482938743 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.182000040972753 0.167359395007542 0.102420949067635 0.188930862595502 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0404493606375131 0.037722012667853 0.0172936758597097 0.0102424674435752 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.190726825047437 0.173224988466708 0.114197560504542 0.192995490596986 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0484856559767525 0.045288888507309 0.0199296112177327 0.0136737013719325 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.17574692021018 0.161702410198568 0.0962782413017306 0.184622823071962 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0353042795626431 0.0329872447416249 0.0151613191249936 0.00982273738726417 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176299567302023 0.16272726103828 0.0963185587579663 0.185095786181709 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0372156523518577 0.0344271791207859 0.0157620588938661 0.0101662376264451 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.180091218447643 0.166177869537366 0.0971200551633126 0.186611789361729 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.043347466109448 0.0389197274019206 0.017818556472413 0.011319216485031 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.21594208232373 0.190299027941047 0.123941156757124 0.20801152235016 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0764718786626935 0.0666180674980058 0.033325027198413 0.0268750966098446 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.257822969890113 0.214193486584731 0.164977494920519 0.231596353958402 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.113207836109631 0.10233857007827 0.0603001152276672 0.0522023482285286 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442483587122878 0.424874035065411 0.626989499930133 1.33286156077781 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308862099435647 0.0378130607193879 0.00855746064267486 0.0112371348136812 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442516209579099 0.424902145462424 0.627258415702161 1.33263806004666 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.030910867714637 0.0377940283665454 0.00850838637211588 0.0112316305360685 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442013292029291 0.424499803042345 0.627470326981302 1.33073022949271 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0311561584674714 0.0381085715640688 0.00851617822011072 0.0112687590291945 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442375211962976 0.425255941685579 0.627357067642942 1.33150178150759 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0313482721657929 0.0389143927963039 0.00840235773414287 0.0113594688880102 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.444706958929689 0.429311413054503 0.628309982086832 1.33781631202772 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0367318259094864 0.043737388838017 0.00930458058205513 0.0123068354432099 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.44969878476912 0.435004771243958 0.624826901054796 1.34637000575895 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.045826423652499 0.0502804138235679 0.0114773132477398 0.0140718678061916 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442823116796475 0.425628552023352 0.626859960884694 1.33417411629632 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0313382262566692 0.0384090445252821 0.00866165891628892 0.0113273177144441 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442541924622723 0.426560642736038 0.624599407615689 1.33335870773518 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.033646646121575 0.0400526380924515 0.00967260507244121 0.0120763804931913 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447142014085338 0.432616854181765 0.622358705324644 1.34703760512736 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0394033859424298 0.0444017635365095 0.0111114413494705 0.0131415258487175 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.472475879158407 0.46026998607054 0.596835909861908 1.41398053693995 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0815011895733037 0.0749238201572655 0.0580572273271334 0.0278268188634124 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.501000161679813 0.481150282005935 0.598957379122935 1.46528559602657 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.126331777873262 0.117102757906663 0.101472916236305 0.0673750206656872 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.166553293814575 0.146936742509781 0.148113066066312 0.210572748965534 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0335301692555837 0.023686436725557 0.00640371256465592 0.00422723892308989 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.166354220862018 0.146606800114145 0.148057072801285 0.209976144392033 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0335486336481427 0.0235228570052501 0.00642008944116284 0.00420509435911493 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.166193019095389 0.146476136210234 0.148194443482369 0.209453263408167 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0334417687254604 0.0233459082259049 0.00633378762332689 0.00410133200396828 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.166420043670271 0.147173415664898 0.14951201827637 0.209608541907865 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0339804837665041 0.0240507227924263 0.00650130441401774 0.00420036141555211 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.169645118737449 0.152503762219368 0.159369581415579 0.210702602821986 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0392471513209977 0.0316361441764757 0.00911794307644687 0.00794699903562656 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.17912396567504 0.161032549235598 0.168837667997233 0.21481575090016 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0473614589999576 0.0404130087719441 0.0121430264510858 0.0089810571327293 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.166246028615518 0.146998328508222 0.147538300828839 0.210266203756188 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0342177403818725 0.0248177031948128 0.007222408751177 0.00511018947204972 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.167419269387141 0.148459137394184 0.148760699211117 0.21111071636918 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0350519693679683 0.0265576780445583 0.00740248145963842 0.00542027861690099 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.170787522551131 0.152498136990136 0.148123794797318 0.212847656209279 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0387674949941186 0.0312548838124579 0.00794333915088532 0.00704183329519278 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.224018651011601 0.184998479226225 0.17600435533562 0.241556673744776 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.079272267275402 0.0744881317155569 0.0313506762206066 0.0478944589763694 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.290321604572546 0.212343743651902 0.220868547492833 0.262128028423678 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.125404025088857 0.124183953121441 0.0645724697609005 0.111582713982655 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.305734178946351 0.284722985254279 0.373835274231952 0.651061209319162 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.042514071996743 0.030892613793061 0.0133690754790571 0.00452325803416279 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.306526353519907 0.285540342323767 0.374828993743261 0.653256905557234 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0428485984377971 0.0308848828420627 0.0136502599425023 0.00445830802702399 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.305840697691598 0.285061499839876 0.374519627602271 0.650864360931612 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0430625864798714 0.031652035030132 0.0137337353884512 0.00467105526365094 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.307265762644119 0.287184976970564 0.37619755728899 0.654610884500881 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0432928330406988 0.0329210192469958 0.0134657771922212 0.00450865102517401 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.316055446198526 0.298314148365282 0.380402554481777 0.666901083706123 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0521433764506383 0.0435647299376965 0.0172322332752314 0.00723391259222577 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.331811090753671 0.313115276279103 0.391310641954644 0.688960560638001 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0661132664114011 0.0591199303983346 0.0242774730988533 0.0130558062058967 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.302400216035799 0.283162009449089 0.370333201921958 0.644242628440189 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0430340195768168 0.0322092848728057 0.01326525087317 0.00451433940771251 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.302988021918032 0.285027219340518 0.37026702437658 0.644995793388835 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0454826857960866 0.0350026045728404 0.0153692090153611 0.00489135403212512 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.306745061500638 0.290476625020965 0.369959582225514 0.643886471195927 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0534848526626993 0.0442639316467042 0.0181435211262332 0.00702807029433239 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.371931759168349 0.344137328131503 0.434455481537066 0.745473650324911 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.11152858972347 0.0989786955483492 0.0627420091640612 0.0386195382587513 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467014431402444 0.405190384453621 0.578202702801284 0.893187620059442 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.175953993786208 0.169489128415024 0.136609826888634 0.126003270989571 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.47828241107857 1.44363809391628 0.580563241812684 9.00988111656453 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0476426049202437 0.0982338352804166 0.0658200028750804 0.0823133219965097 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.47795658255256 1.44368506821602 0.580111497069683 9.01049405047245 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0473524731938789 0.0983268277189523 0.0655266432064261 0.0823467274389553 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4773376790753 1.44378929069733 0.579351428174527 9.01190083844865 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0479727850992369 0.098239597628219 0.065933336402072 0.0821570287114775 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4741441252849 1.44443913652981 0.578099575608632 9.0216716361362 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0507218151287804 0.0986623011076212 0.0734179589941344 0.08270234298643 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46388025007318 1.44832947762293 0.598308520017917 9.07682939397777 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0609438404623355 0.105157468558215 0.0817354119440413 0.0975183680533906 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4510840157186 1.45341788037093 0.630995192630292 9.14543010360077 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0770201009000092 0.117485724969588 0.114557663473791 0.127201100935712 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4776267014949 1.44451361293349 0.600308267003523 9.02617201442666 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0484520275820861 0.0989980878097886 0.0657942713869999 0.0836105574935782 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4743916015211 1.44483360181677 0.601534053849524 9.03118260493824 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0539134519044357 0.101916865735716 0.0761620464533294 0.092859321714474 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46592134329373 1.44690880784442 0.605515597094311 9.06016012960749 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0614317556263494 0.10567447409662 0.0792729079535359 0.0970020764684715 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.40957669143878 1.46511702992666 0.707467466852003 9.32039294911064 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.118143248528236 0.148799972895007 0.17767973389359 0.177379695709815 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.32541455085557 1.48656593984752 0.759684281690232 9.61848432585375 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.174572480294372 0.206110029111296 0.306989129616189 0.280495790513339 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83449611314632 1.82248339507894 1.44839381864138 14.9082452447989 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0327443697777986 0.0979450473605618 0.0103363564200937 0.0549943277811951 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8344527323457 1.82298301781563 1.44799990325754 14.9146268550891 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.032711637911391 0.0981657977592607 0.0103652195660093 0.0552767580316092 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83518685603643 1.82477141586529 1.45230989210405 14.9464141563333 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325871636377845 0.0981446069597618 0.0103272468428403 0.0552834295834256 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83260487550166 1.82364160248721 1.45692692053121 14.9317664516436 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0329331795679842 0.0981230156546023 0.0103247154244821 0.0551173051873466 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81792953275008 1.8217683339986 1.48727646588094 14.9011001035368 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0422572376978959 0.108433432389569 0.0178081544813569 0.0771655165500386 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79653085868862 1.82169372979897 1.47734349937361 14.9050463253845 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0578322905612006 0.129058438122489 0.0409165462161264 0.142614073358022 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83297211055505 1.82166681434012 1.45235771139758 14.9017784056522 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0321755962068057 0.0980745265071166 0.00954166836235575 0.0547085568193514 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.82696575687356 1.81959514817394 1.46098337308376 14.8765024982482 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0343293196090821 0.0998481965394064 0.0104291017325289 0.0570549799972315 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.81795847178957 1.81725309467657 1.51302257481992 14.8501503100743 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0410857744751091 0.107138022321976 0.0147080306997884 0.0722486230059081 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.75331038695314 1.81318177833581 1.60060424532191 14.792868764528 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0875986540865987 0.16288517724397 0.069745526072957 0.207646741031676 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.66364539951049 1.80663124708543 1.6604926254866 14.7164155852702 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146042004875587 0.247783611221863 0.184083932283812 0.463897183316977 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30318916635591 1.25291887509983 1.12798139003075 7.37509757343093 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0256777706001434 0.0469255378112099 0.012818962830639 0.00340953635210712 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30322999532959 1.25308083745634 1.13014964851916 7.37643514936509 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0256289318593647 0.047264885837964 0.0128375434006028 0.00351405262072537 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30381799983946 1.25371893912264 1.12940543578446 7.38152830560486 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0260188078464504 0.0474023122564412 0.0129021064051828 0.00353372857628923 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.3043528539714 1.2544363153911 1.12831296995515 7.3868073496089 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0276071911593637 0.0479183784490316 0.0131499642700027 0.00365002465729576 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30262400074402 1.25408485717773 1.12757685176973 7.37888258332246 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0409705593653357 0.055089104163492 0.0197492806564895 0.00731481394508732 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2978170335527 1.25143458133451 1.13631048455429 7.35601028523902 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0574348154260321 0.0661385638324467 0.02761845138797 0.0133675695953567 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.3025699695304 1.25243811495771 1.12916177451618 7.37054651849436 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0274851258845456 0.0476188017789298 0.0132579743429851 0.00364614086579435 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30345013385625 1.25384034096753 1.12600805731873 7.38089518704165 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0312595188759331 0.0488110698426379 0.0137175552853901 0.00386005579836139 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30162394140044 1.25373190424536 1.12528401380534 7.37575332510476 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0406618456167589 0.05377247368716 0.0133222752848854 0.00448245508103911 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.28112821424824 1.25055437652591 1.11520831193062 7.3256503279761 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0968841995327522 0.0984111253316327 0.0497956706598066 0.0303497205281873 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.25415109641066 1.24770976898605 1.12150786542194 7.28570575100825 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158320523235893 0.15461164548839 0.130177457784203 0.0858621018989152 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.197105597571432 0.177360497858464 0.407270457777383 0.513693332635136 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0290125250419938 0.010800463540964 0.00351921409277523 0.000401046728809487 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.197265050636939 0.178697726470393 0.407762846890198 0.515189999266162 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0290579354624702 0.0120064761433958 0.00357490901522592 0.000482881472838856 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.198051028467409 0.182095289001106 0.409070384849846 0.518940855064293 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0295954689482832 0.0151450851130121 0.00379304952891814 0.000727607326585874 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.20253730158091 0.190990932834517 0.411253104873997 0.526736228971675 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0341326025654485 0.0240743288075414 0.00497222724016987 0.00168537119134287 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.236204022246038 0.227819377189652 0.424096530067375 0.554982095476998 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0712276524006479 0.0656045634525398 0.0178648244868293 0.0112627165004287 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.277372456312388 0.265442134549702 0.453065777970243 0.589897295326392 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.113788484019875 0.108293764423796 0.0422627001682294 0.0294260698647196 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.200267652637783 0.18692682919427 0.408896167159708 0.521634309458339 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0320822708676781 0.0202251807897822 0.00445323439099936 0.00122636618099633 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.211197739516588 0.200837276925418 0.411234694639104 0.53054013398455 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044498741382498 0.0359073638785146 0.00783576810950852 0.00358857962500921 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.243530732430493 0.232135225824539 0.428510511455845 0.560420802211245 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.077421779091947 0.0693541718066346 0.0207159863516268 0.0126269720750573 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.384044607857696 0.349759237697773 0.579046534496035 0.688964577342838 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.218446886717233 0.205305599123618 0.147915022679951 0.0999450212478875 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.539721470339268 0.453471955250115 0.893354386637722 0.841224450807431 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.355180506703038 0.339130834975803 0.391796240944092 0.253353587903627 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451600144352189 0.43287526600589 0.466844981392091 1.16107989187107 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0166122120820944 0.0185440554120408 0.00112355210734 0.000471494755439223 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.451605140058333 0.433042219727052 0.467009835507856 1.1613992034414 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0168548918791744 0.0187632324852112 0.00116617896493954 0.000490495982094603 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452158163233051 0.434356958466257 0.467038372789854 1.16375549762158 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178560835580783 0.020129050603602 0.00130481544935685 0.000567721302482368 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.454178872871246 0.437657395908416 0.467416730454818 1.1679158710576 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0222902529653318 0.0250979746664225 0.00191147367556504 0.000907903319862814 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.477221966832377 0.458239334326863 0.477886886687484 1.20894857502069 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0496788026147117 0.0524019945831861 0.00790190452739887 0.00517119547947188 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.512294651554636 0.482806804957589 0.501332609676605 1.27050459790213 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0798304972740118 0.0825539330231775 0.0191800026931397 0.0142915932173591 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453629518250339 0.43672772545452 0.468027436293301 1.16825482205107 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0202915178452942 0.0230899359144371 0.00161988732109531 0.000762133961916755 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.460186091655767 0.443971427518149 0.470007581658978 1.18015611106405 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029889061769472 0.033078236981326 0.00315211422998559 0.00174217227793371 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.481561685693093 0.461738921136765 0.479638708349467 1.21663039701836 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0529601257231435 0.0562673663478441 0.00883953610436814 0.00605688902206401 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.610039668676596 0.541789185939394 0.590286661722154 1.45374788674067 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.150140837857894 0.155414597744931 0.0649633041535763 0.0542853662473517 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.736158480404865 0.600120675827921 0.766868900739083 1.66462961733288 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.243615447784485 0.251909777398737 0.170672940697916 0.144146935946413 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7977799258533 1.76735936714824 1.63865583638287 14.2022462126633 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00934986088927334 0.04225802502781 0.00013329116108664 0.00246021312363844 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79783438025111 1.7674806174947 1.63878144463502 14.2040955399247 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00989643860655753 0.042280855364923 0.000156107034936265 0.00248457193830808 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79783204231867 1.76761205485473 1.63861346936944 14.2059973884463 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115053105969829 0.0425185021932758 0.000228951025456213 0.00256111344551824 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79771310431544 1.76797533842608 1.63774744856801 14.2113337303362 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0164240819657103 0.0438549511907992 0.000538903009493324 0.00288272463376848 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7952263911374 1.77015118956211 1.62521329590749 14.2413156611867 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0410521470858802 0.060392036856924 0.00416468345755662 0.00666912394200953 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79031135106922 1.77388345423756 1.60111061937652 14.2933709514051 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0669579603731609 0.0851695579718756 0.0118300325074268 0.014856087572979 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79757236645316 1.76765798834265 1.63735090114671 14.2066024896262 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0143693196870082 0.04353519507415 0.000393309507767958 0.00279228842342734 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79681590952733 1.76813335504548 1.63367574684968 14.2130531368683 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0234284883505542 0.0483273306109557 0.00122405383049623 0.00379794593208304 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.79421217532098 1.77016703466101 1.62043910843671 14.2412692018975 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.04356651657598 0.0653683876866057 0.00476706769167225 0.00805272815150919 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76798355161425 1.78693932474341 1.50163990709008 14.47878392313 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.127088584880163 0.157278762497805 0.0464007391895564 0.0578981080936328 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.71617197029517 1.80992721560401 1.33757855654142 14.8300532397617 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.21033908555565 0.257022248482137 0.137140915272708 0.167718886572296 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.214510624158441 0.205362931493318 0.166247502595223 0.323488250643462 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0100516991972518 0.00646241205684712 0.00043854208698177 7.70281899958449E-05 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.214693475849852 0.206427968487355 0.166303285331191 0.324365273518728 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0105826300185909 0.00761912935118157 0.00048186995717231 0.000109997070362965 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.215717310981663 0.20853215493317 0.166510941585421 0.326137870419977 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0123548456777989 0.0101760879819111 0.000625185018270862 0.000207478604373899 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.220014267121902 0.213568659756726 0.167249326576593 0.330567529759733 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0181556912163138 0.0165966110798573 0.00119159439125476 0.000604451231002084 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.244825673263114 0.235431809442773 0.174621535577332 0.352292126721889 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0468456882469215 0.0455334451324967 0.0066967846582854 0.00489932692114588 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.275898473989679 0.257806334796631 0.190305321509008 0.379739110076909 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0767545637824335 0.0751071473257453 0.0174104271664072 0.0132945853874047 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.218150341128225 0.211315327375466 0.166693295201073 0.328409678402158 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160539411570444 0.0138153132954461 0.000966122828328101 0.000407535257222845 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.226411278992692 0.2190863994414 0.168243190131644 0.334824343484318 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0272693347864784 0.024889033244242 0.00244954590431519 0.00142739060207485 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.247444931835275 0.236313739650637 0.175406750144963 0.352362009500568 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0517187421048832 0.0481957297634311 0.00808587406628348 0.00550349342950344 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.361488812695584 0.301920869485953 0.261024866979948 0.446553817576684 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.149958018369747 0.141706943067407 0.0670054313790518 0.0450945930066053 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.482309486379511 0.35010470836081 0.427962935507469 0.535017050195362 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.243590306734987 0.232589972791779 0.185574067246083 0.111018258422837 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.553022087593733 0.540747406606846 0.999530115870254 2.13906153012979 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.011377554602556 0.0102260959231698 0.000506639020794323 0.000196458748512456 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.553474942396661 0.542019274821298 0.999471952960554 2.142346513816 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117985707791298 0.0112604512860527 0.000552945425841578 0.000228274434561819 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.554643037431161 0.544182387558678 0.9996959528992 2.14740482731341 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013525395937521 0.0136007584725398 0.000711404173806539 0.00032717367959955 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.558583083153862 0.548769554454672 1.00023171097124 2.15710836423593 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0195501563271533 0.0196682075014191 0.00135339356859733 0.000736399371057758 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.582664265065752 0.568466504337178 1.00524058524198 2.20194823888145 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0503676932025657 0.0487196193224158 0.00773457283267685 0.00527511764060394 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.609363531180611 0.58616237560468 1.01622608722671 2.24181485085571 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0825016265537174 0.0793263128347188 0.0202147244536885 0.0142947418962017 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.556698233781827 0.547141240087896 0.999794445880447 2.15329582446876 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0168161799293641 0.0175455233420656 0.00103928537019743 0.000567617140784806 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.564799789030498 0.555128834444659 1.00068917776439 2.1701042556723 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0282846205836753 0.028892987147793 0.00262749453653226 0.00172856848486565 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.584949671231033 0.571543162574406 1.00671754454278 2.20851770117277 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.053645043964591 0.0536973012952159 0.00872519268516605 0.00645631809572852 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.678106043288252 0.62471006440828 1.06886870026471 2.33195642791779 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.15664682303059 0.15584822452917 0.0738810114628949 0.0536631195671942 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.781381030364041 0.664373861037027 1.20917432146836 2.43489315870044 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.256402353613468 0.255711247747734 0.207164869590744 0.135460024107605 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.207881725785988 0.192976515961686 0.196932546627597 0.32822838718281 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178928505303183 0.00944577012676916 0.00132637649561863 0.000181913639650228 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.208071627796939 0.193494776261002 0.197068628702153 0.328827784799137 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0180113679152876 0.00985467074094082 0.00135055076820696 0.000198572038229282 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.208250130605278 0.194453312932656 0.197192717795753 0.329590304634319 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0184995209926474 0.0108818065916263 0.00143152789761312 0.000245894108616428 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.209842381875569 0.197508476485324 0.197628513266222 0.332100250949908 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209093314935343 0.0142532618946927 0.00179403276768761 0.000440439742753731 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.226443901890885 0.213366054070201 0.201858018355073 0.345991597078709 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0404032641143871 0.0329710120371815 0.00563147401226495 0.00256524604365715 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.248102392894863 0.229998069722204 0.209606626842733 0.361838719121082 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0635370878520617 0.0532582035537488 0.0127765667340327 0.00678746483192906 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.208845339381911 0.196420833380443 0.197192631358004 0.331078078016997 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.019796232558755 0.0129047998947883 0.00163172608772538 0.000353884946440254 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.213498204026412 0.202372911952374 0.198165912807669 0.335913258546531 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0260190461502523 0.0197220661264779 0.00262876545852571 0.000880590994393863 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.228472317920862 0.215455965517885 0.201965166299355 0.347115140411993 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0435563709070412 0.0357010348887192 0.00644987937451644 0.00303169109581554 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.30600575319195 0.267923802388748 0.242249789737907 0.400463667404722 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.121193129861919 0.10298627638858 0.0429587457249794 0.0252390368950147 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.397217029298224 0.312366068557611 0.325956489176975 0.452570254575087 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.195709794294565 0.168794984536541 0.108664751720473 0.0659491467485406 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.328321824737458 0.314678587591391 0.393017023696347 0.754602587460966 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018721632934806 0.0143184414993145 0.00148459242337436 0.00020536125399488 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.328917198535463 0.315767766097965 0.394081000750441 0.757461231790895 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0192127040057613 0.0150087248357686 0.00156687184638576 0.00024822528990442 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.329853972914686 0.317485701098719 0.394742509229668 0.760007090254887 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209239161682024 0.0169334408995317 0.00183678571425346 0.000377812088991078 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.334527809180623 0.322499072513613 0.396269828994652 0.766276008246256 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0277897580632093 0.0235230238340614 0.00297948649371888 0.000936910514298273 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.368600748408331 0.349818565064594 0.414592428776212 0.808274193579466 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0672578543529321 0.0588007430833799 0.0142964142724643 0.00751598331859879 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.412942266228116 0.381740079289406 0.455284807991661 0.871975807959769 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.109467425888194 0.0960596032026408 0.0359251300097609 0.0208883613161048 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.334289128438079 0.322318674373656 0.397761094900961 0.770184565574131 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252029391561045 0.0210598078929997 0.00251840475256514 0.000703195767202588 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.345693714296003 0.332898954239345 0.402007859550804 0.784710295954349 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0399031880095017 0.0346872973269911 0.00556859651128489 0.00235669723211996 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.376474966561634 0.357288091071966 0.421954783738335 0.825921229415736 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0737656304662447 0.0650843139769489 0.0170274840178901 0.00931010703006268 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.556226224054237 0.475340824038058 0.674948106188687 1.13844487174476 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.21320739037611 0.188972666347027 0.133825003972331 0.0807790779252067 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.761487597487145 0.571336291431244 1.11391141568777 1.46233029801227 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.347256872938231 0.309257639308671 0.361620379329181 0.207309563275704 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52413337996112 1.49272048438435 0.739683158315092 9.65379798524008 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00604379151854896 0.0255734868301949 1.779963305118E-05 9.0688258926913E-05 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52412658543428 1.49273509155798 0.739661758349595 9.65401366731571 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00733962296812181 0.0255978477224161 4.6329013524395E-05 0.000124476138092347 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52411546556287 1.49277072828192 0.739651236492676 9.65451874476284 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0100997845317851 0.0259240446250096 0.000143840996035969 0.000225582171376559 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52402068019489 1.49284237431852 0.739645561937558 9.65562358284113 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0173158687916801 0.029245775246469 0.000583672513271296 0.000641962115725506 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52366497455034 1.49412553884199 0.740235597653248 9.673588896997 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.049106101560612 0.0586274250583875 0.00583651689419657 0.00597046960522023 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52311478541368 1.49655495887359 0.742000666844833 9.70783389712269 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0813477368793143 0.0931130934668477 0.0169014053836772 0.0177194781108078 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52397594837193 1.49279720950834 0.739574377405121 9.65481469745258 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0143486966102061 0.0276904219821854 0.000374525348953168 0.000471044078004231 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52375293915352 1.49306333921154 0.73966279899389 9.65850443009973 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0266892518245058 0.0375678641240255 0.00159385745395437 0.0017315136109329 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52332840248604 1.49439081355224 0.74026791729924 9.67648814501193 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0522486674267128 0.0646105183932622 0.00679154666704055 0.00754061474320085 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52248658731879 1.50564100864131 0.76109703246683 9.83814016341421 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.154812985951569 0.182321184584538 0.0664865343392218 0.0746964265587445 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52839338036852 1.51803074723109 0.847034782199284 10.0353691947444 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.254689352416586 0.296839386763667 0.191246452313388 0.201296633291595 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94714790376227 1.91657617814588 2.29632592037653 16.8920391004647 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00694167557163159 0.0304694335422141 0.000233593147710706 0.000784355037513261 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94728103642049 1.91670989217407 2.29623298673058 16.8938320418609 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00838024581242894 0.0305972808452816 0.000283274149968468 0.000817704645288039 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94745248098153 1.91689085825984 2.29614319958454 16.8962769450102 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0111760693998572 0.0313194739276983 0.000424063183633992 0.00091765140449338 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94739640876969 1.9169986083334 2.29639210128704 16.8969400278398 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178963161510069 0.0354096172108162 0.000952589416761068 0.00134811501079318 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94777533339823 1.9182713613427 2.29425805427515 16.9124668744409 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0479151289414242 0.0630772956585942 0.00638205625158078 0.00656778823132923 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94579407398469 1.91688402266843 2.29785181961523 16.8980327313079 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0788398376134285 0.0959366854809975 0.0172547071651493 0.0180308591062135 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94671183143302 1.91643162226191 2.29655915453877 16.889384478228 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0153039260677794 0.0335746222108104 0.000717942857068439 0.00116608290528558 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94600274122383 1.91612022736307 2.29782070449462 16.8843047462698 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0270862585121014 0.0429486412969561 0.00208663722201455 0.00236063154036625 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.94482500730578 1.91578228868541 2.29854308595322 16.8793212835307 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0520544967982883 0.0673846901027725 0.00754253165341553 0.00781523564112168 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.93784649390835 1.90691650337776 2.31788763343357 16.784051993919 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.153277551548648 0.178711910035866 0.0667916924851218 0.0713119552106605 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.93027331441471 1.89423815877912 2.35665956276347 16.6520857724676 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.251924168477476 0.289893850369998 0.186674800253045 0.196468551995708 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34611106701234 1.31613920897099 1.24033309961273 8.14238940757713 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00870834398622107 0.0268907657706532 0.000145141202250245 0.000206973754252891 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34651787763297 1.31658735906236 1.23982709318677 8.14553119734806 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00990731661981675 0.0271845626471408 0.000198020384069634 0.000237343695275539 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34690805319416 1.31677605422065 1.24010208918038 8.1460005634668 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130235132671278 0.0280323417519286 0.000364836892828103 0.000331089351823884 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34778765539101 1.31701954208415 1.24134924818038 8.14548018009966 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0211909263392169 0.0315342742434144 0.00105457304408849 0.000723381644345174 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35210439066652 1.31623619827078 1.2514928804783 8.12897396762971 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0585646055373609 0.0595122890039138 0.00888764467113163 0.00556656139711445 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35798409789121 1.31346803224711 1.2697547538598 8.09615176139742 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0966503233307558 0.0932154458305487 0.0252647802063663 0.0159336380532346 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34802118619446 1.31742818314895 1.24009987435109 8.15027449455961 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0181808746861512 0.0299756170261982 0.000761582430061345 0.000540390043926588 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34953380139817 1.31741687955568 1.24334000820237 8.14597072548178 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0331402542316203 0.0387113770826603 0.00272271949896677 0.00162723285776618 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35366818729725 1.31647461640288 1.25251977520932 8.13034158401079 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0644023098173154 0.0631387628334538 0.010883047551661 0.00642391276813206 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38506458807388 1.31071712288878 1.33660221782179 8.05169129079961 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.189983618575937 0.174951798260733 0.104753267992261 0.0597211143659261 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.43901928341003 1.30871848672884 1.49830029836598 7.99994223305841 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.312502655715795 0.288389605016553 0.299765653261902 0.161289700629413 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.163629383160895 0.145669359610972 0.352243300918952 0.421770798384621 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0270692798697997 0.0102028791547498 0.00300069054296339 0.000349161505073813 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.163993841104935 0.147844177150741 0.352958702902387 0.423806474622291 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0271002590504922 0.0120576609554692 0.0030750608775313 0.000467666824521092 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.164787455218678 0.152228573813125 0.35325155407847 0.426230136613785 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0281206613302759 0.0166831519031353 0.00340143124511985 0.000825132163990509 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.171744699465932 0.163418105520121 0.355236055591291 0.433302736735936 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.03543323926204 0.0283003358977576 0.00512833081515392 0.00220010494112389 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.218683661037051 0.212337905265367 0.37896360030901 0.472715615055669 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0827508695203178 0.0793771424691208 0.0228266500211572 0.0159889615003275 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.270254821430178 0.260361700750193 0.42151416405657 0.51860343499182 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.134187586695432 0.131433924069794 0.0566817746998021 0.0421517045898016 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.16972367964298 0.159922729304145 0.356616876080693 0.434073460043416 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0321469715059587 0.0235545121703576 0.00435394509230661 0.00157208762758597 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.185258126903175 0.178136272352897 0.359917635298821 0.444055462589173 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0488954325154051 0.0435457009646247 0.00898178032275794 0.00507836213474723 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.222850468779745 0.214850541379441 0.376026426530714 0.467245008164519 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0890198127206524 0.0849419616477762 0.0264456752183376 0.0184481284328188 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.40081095800039 0.362627980376532 0.608186877884886 0.635887809646121 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.256710068454229 0.251046077379437 0.206612539500315 0.144622305797622 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.604924778467478 0.489331033441163 1.10950357866968 0.858209114441146 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.421406495088979 0.414295014047685 0.568402867194858 0.362218581669933 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.36100827204061 0.346097100777279 0.316816815160369 0.757381584964803 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0159457833348132 0.0160535812709546 0.00104050250216118 0.000193202349243184 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.361688539458265 0.346941890562101 0.317395026201319 0.759830637883199 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162381921013702 0.0163677249031735 0.00108507877658598 0.000221605316522429 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.362388434662185 0.348305687259043 0.317837160645021 0.762080265657874 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0174715651160332 0.017795325407627 0.00124371850298239 0.000309137658420317 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.365011847376553 0.351909715680782 0.318564566110295 0.765676404293109 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224499761809586 0.0230367754710872 0.00191217191151332 0.000682027294130654 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.393165939737852 0.37668578480405 0.332931253081895 0.809408548029582 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0517067667047309 0.0523602854368905 0.00845566994591705 0.00530934073308714 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.430200893548871 0.402672768109947 0.360757415836079 0.862572091683835 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0834539862271 0.0843464098905592 0.0207864008741147 0.0151729170399164 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.364591760157097 0.351706374684888 0.31869613821383 0.767573051551242 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0200919581429267 0.0213733080870541 0.00159124933714352 0.000540216072856906 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.373307197427731 0.360981681446544 0.322260499728108 0.782146824314114 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0304407215512418 0.0326002067799925 0.00326015151334934 0.00170680799808817 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.40057580958432 0.38410322835146 0.336721915534346 0.827105721507641 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0548673629522828 0.0586324825298222 0.00948335666185195 0.00688223355639412 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.550843528534025 0.477675307932704 0.483796152635766 1.07522173875353 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.157110204860151 0.167497616981807 0.0717057657934949 0.0638506328453268 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.699048691677669 0.539296018919545 0.722343503477206 1.27827147997246 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.256073198051868 0.271239920268245 0.191069109388271 0.167049887986027 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90628957153952 1.87585623854623 1.80380088367338 15.9343343395401 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00802041070319414 0.0375738943105382 7.78851416854654E-05 0.001543968098922 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9062361491118 1.87585815300296 1.80352101516286 15.9343650803778 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00916042877055481 0.037601452549961 0.000115938696176742 0.00158510097827426 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90613620479846 1.87585738206912 1.80308850315236 15.9343456633122 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0118144770547058 0.0379788702875372 0.000234441173807118 0.00171005268663244 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9060664324145 1.87614064175355 1.80231738454364 15.9391700777643 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018900130349484 0.0406917031953619 0.000742799267248132 0.00224408464512333 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90497155514815 1.8783816375162 1.79266523105712 15.9741505183474 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0515767350155403 0.0677292845082439 0.00670269122390287 0.00861368617372751 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90284270641957 1.88230820124913 1.77504138037241 16.0346309700327 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.085159766016773 0.102307787569215 0.0193032959503331 0.0221170872487874 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90633110829079 1.87617065897683 1.80343658320088 15.9393117895875 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0161971271048791 0.0396558171708256 0.000516967937200035 0.00202437824571253 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9062392058566 1.87687189702765 1.80201419770257 15.9506423989551 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0290754611078727 0.0480350271444563 0.00196044677238278 0.00360645257439471 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90515474487743 1.8788658052621 1.79361507733266 15.981056987397 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0562777717197091 0.073593131957491 0.0080969745723681 0.0104347352445912 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.89763340022562 1.89605680270069 1.729762174619 16.2490300926611 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.166255024537963 0.194196249530687 0.0795244699449706 0.0869053999459619 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.88421852488157 1.92016146269737 1.67541653047453 16.6441389898965 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.27456084707539 0.316506970891973 0.231062975882621 0.23740071740843 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176214170518747 0.167543358866458 0.131417989832429 0.233903520937774 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102232195281433 0.00684315965506488 0.000448712615515746 8.44822439827019E-05 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.176385318783633 0.168403887654965 0.131422008209581 0.234529353111463 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0107956862635798 0.00764837560297447 0.000494714670694689 0.000111836859422042 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.177382171072072 0.170347697291554 0.131563631897312 0.235980735323748 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0124589556258457 0.00968673247582075 0.000634448915537676 0.000190025548683823 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.181658949646184 0.175152514582262 0.132199521444012 0.239697728830919 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0180152251570969 0.0151580904219063 0.00118817944154825 0.000504804649756692 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.205908901576888 0.195370674425908 0.138762599488204 0.256372521657204 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0461514657937674 0.040791984428307 0.00655150703674269 0.00398001491397325 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.235468258804244 0.215918546354625 0.152953674240165 0.27698585715844 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0754828072637095 0.0672058476671985 0.0168947101962171 0.0108023536669269 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.179512502420551 0.172944971055649 0.131944955650992 0.23747640236346 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0157742616831408 0.0133321834172258 0.000948132972993897 0.000378601439751757 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.188103492535293 0.181144304811609 0.133530213951728 0.243516121348496 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0265303238580801 0.0237480109544356 0.00236181445016056 0.00128914492117258 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.209341214063895 0.198722437616896 0.140340163892361 0.258825746658565 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0500650479071999 0.0458891169754817 0.00768516981955619 0.00496076594065317 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.322335473803784 0.266192043733694 0.221599954338004 0.343339072160129 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144948952312052 0.134579254249337 0.0628273232108989 0.0406710244738893 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.442824857923965 0.315336908815184 0.377433274513288 0.424599156931793 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.234985548868629 0.220384541944397 0.172283458142687 0.100165018192336 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.561590545357859 0.549101939467052 1.01350592758497 2.18493830897906 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0116892339472532 0.0109007625566193 0.000542416168540591 0.000204550854861172 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.561599264011337 0.549902327845256 1.01376060824076 2.18670877462394 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0120313440960344 0.0118660217217111 0.000583820021712394 0.000236478020240334 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.562236178227377 0.551471113989583 1.01394244294097 2.18952666225845 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0136174208618852 0.0139135485373066 0.000735672153873303 0.000326100750673985 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.566429264745582 0.556186335730666 1.01428414357037 2.2002080261365 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.01949820149948 0.0195132114370026 0.00137581414250643 0.000703432028861475 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.590451579481552 0.575777192710899 1.01929891729459 2.24520826291997 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0500819957951714 0.0472560883404931 0.00768021499718168 0.00492600253803437 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.61663747306898 0.592876276905258 1.02861846612698 2.2813598927236 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.081866751081708 0.0767706014462644 0.0198760528860443 0.0133801329891119 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.564233723142416 0.554134756251131 1.01362939893781 2.19426638459165 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.017104787569043 0.0174189928466679 0.00109092171289095 0.000539428339580742 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.573046451321404 0.562390555205471 1.01461728044179 2.21327018401766 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0287727406655013 0.0280428229492094 0.00274067861922345 0.00159260071244068 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.593578884899972 0.578243069844652 1.01959476360878 2.24950049762157 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0545407236185316 0.0517465025894789 0.00901100718329471 0.00593179651181227 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.686260770662065 0.628601467110501 1.07991022217787 2.36182108035085 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158539651552268 0.149321060796668 0.0747542616601894 0.0493516623085296 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.787053341831356 0.663350659426664 1.21430536019566 2.43623541682342 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.2584429341653 0.244708853346498 0.206988012218496 0.124664795983395 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.15153315093592 0.137907235671941 0.133468012130643 0.198542020879016 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0162765089147361 0.00676155187597601 0.0011110021629926 9.89830605873913E-05 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.151465339327656 0.138782752249839 0.133402528657622 0.198867131359284 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.016565574575238 0.00783232251263855 0.00115782452402814 0.000133897346864737 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.151840174022908 0.140728160532924 0.133427694061109 0.199662779296506 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0177455258086256 0.0102893825247293 0.00132191234911685 0.000238248721718207 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.155602340077316 0.146260366393247 0.13412654675389 0.202788114096459 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0226713115104002 0.0167329113047996 0.002025833220526 0.0006590436028367 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.185084174318931 0.172749174130946 0.144025657099834 0.223048613542759 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0531437699711345 0.046086861581753 0.009102713710934 0.00517143579335913 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.219352395516368 0.198803422178524 0.162084027602678 0.245850799559103 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0862234341179204 0.0761078462999799 0.0225449896072058 0.0139910032200449 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154511987804229 0.144624219883191 0.134098009322132 0.202311368369086 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0207428523188275 0.0142351949755361 0.00173972031660911 0.00046922582988815 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.164256218240427 0.154609876948197 0.136312428666375 0.208659150778527 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0318920914932675 0.0256735732838795 0.00365062450205063 0.00158816823853333 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.19025282693271 0.176391152531235 0.145949771665509 0.225905454879268 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0582888579648393 0.0497508692583097 0.0108176920336757 0.00602468477937032 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311509780006676 0.255875467752367 0.242689703251618 0.307893750670684 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.168344322608499 0.146723915899847 0.0832612519439996 0.0501064345759749 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.446149513045577 0.320142544639226 0.437142512528263 0.398884250241444 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.273991872278171 0.241315744345783 0.222582610671928 0.127642558068997 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.328964209762055 0.316565086701495 0.418474641421878 0.789389604290948 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.017715787604362 0.0120406141018863 0.00132204404792916 0.000140391273464009 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.328505960129827 0.317022224622821 0.417633309268296 0.788129309216321 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0185313448954644 0.0133714792638587 0.00145168790574087 0.000211487508486641 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.32937226783815 0.319358567771286 0.417249963005895 0.789316799650014 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212407676200449 0.0170365335268107 0.00186440165236864 0.00043514562189409 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.336763969643421 0.327457987163899 0.420024706254494 0.80021082799824 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0309102752554941 0.0274163533611097 0.00354163895504075 0.00141965215770537 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.385622436256502 0.368378656628525 0.454913023697352 0.874647887895641 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0807929432761885 0.0753530312793327 0.0201318873278489 0.0127422038833211 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447168379741088 0.413112442203569 0.528721331581614 0.979180170349288 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.132712510591187 0.12432846478503 0.0522545664453807 0.0353097747909254 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.334645772578728 0.3255954271531 0.419832731708685 0.799511271083005 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0270115919839155 0.0236962496505033 0.00280424250068079 0.00101319167357102 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.351324269337404 0.34134162859214 0.42785873252213 0.823293270287029 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0460856471495719 0.0429070749727321 0.00715023357109184 0.00390302933804303 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.394718973044601 0.376617135424777 0.464082122976331 0.890899726968573 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0878368711466248 0.0833339106992711 0.023613510372993 0.0158140402234974 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.642639112031918 0.535265262568611 0.880656342459628 1.36826956017956 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.256702263521037 0.245542934038033 0.195250356905492 0.135558420557296 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.90748601884261 0.650603969750129 1.55421675442606 1.82289077321373 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.41875344049181 0.403503650768962 0.537498128866621 0.344671588474873 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45930400674481 1.4252919838806 0.71502634506547 8.83956323289838 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00722822627445786 0.0268800377146446 2.14396138002625E-05 6.99802331641114E-05 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45928256003744 1.42530944976614 0.715018053302763 8.83980343318459 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0082646812021248 0.0268945655481504 4.54651199579746E-05 0.000104717667597241 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45925516840127 1.42535567291942 0.714995034292559 8.84038728719363 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0104274664967077 0.0271971374044285 0.000123360914768108 0.000207303166757356 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45922841032266 1.42557246870291 0.715035743292617 8.84314075888789 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0165260768440062 0.0302402228251714 0.000477225944911158 0.000626438201930686 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45836307783062 1.42701447556785 0.715085596584444 8.8617698480699 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.045201593852644 0.059653265635882 0.004846278002467 0.00599411717720431 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45692944754303 1.42988929920745 0.715760541933868 8.89911436405329 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0746175156973303 0.0945032631006953 0.0141427237957311 0.017917150459445 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4592572696005 1.42535571012923 0.715155867386695 8.84040911769375 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0141758290361904 0.0289038361642509 0.000316489985424358 0.000446383510022153 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4590960290326 1.42565585296586 0.715397032326317 8.84432262251504 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0254598974114049 0.0383920635155718 0.00134545097021266 0.00168358712086111 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45855658135273 1.42709129205003 0.716148672307413 8.8627364012989 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0493665896939267 0.0651010925206443 0.00583122213727974 0.00738905222846126 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4537851621222 1.44062040395408 0.730386722949429 9.04173318989324 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.145819927444802 0.181376135309262 0.0583505724641594 0.073239131994197 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.44985824884401 1.45681891254986 0.79787798486679 9.27338400095879 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.24022734021131 0.293173687205521 0.169808405748042 0.196416154970473 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92822076719176 1.89868039407084 1.85232572748977 16.2037633067916 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00581085125099722 0.0304874794964414 0.00013450696762525 0.000567938707898831 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92828107571301 1.89878411844356 1.85188455252221 16.2051914433128 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00691156225397775 0.030531203318558 0.000172659511561556 0.000600270888583282 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92827755178947 1.89886180639179 1.8513958946126 16.2061672622118 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00930194928194432 0.0310552645022215 0.000280970279677402 0.000692940483558785 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92817935083211 1.89908633920394 1.85032971132652 16.2088241760561 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0153178214167272 0.0345572933024991 0.000693790453501468 0.00108882875068803 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92596731439595 1.89872701253006 1.84914517184053 16.2066158468778 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0423267482091358 0.0610445039033174 0.00497890007379935 0.00606498475569534 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92167669307555 1.89733425374861 1.84779239564377 16.1942897656926 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.069978888021264 0.0930731160128277 0.0135699778859888 0.0170709754992065 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9279156968916 1.89863153169993 1.85213127656297 16.2028985261783 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.013250893655147 0.0327413914499133 0.000526280464518217 0.000900745996966856 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92730760564561 1.89857705252893 1.85140740577418 16.2018202338517 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240492421669265 0.0411539641041343 0.00163613812061279 0.002016305693113 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92513369619433 1.89826637889062 1.84906454040826 16.1991569962908 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0467095122303079 0.0643029580596454 0.00604191664793956 0.00700683781695501 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.902513471366 1.89015432381878 1.83840001100773 16.1185397790152 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137900111752561 0.17087524264636 0.0536013080882847 0.0668549538598537 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8653229246139 1.87404798701341 1.84261924944923 15.945148553747 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.226310568541875 0.276692965595056 0.149437776107618 0.186869534031511 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34536752155385 1.32003184007102 1.25989297872683 8.20949402288863 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00848950153777952 0.0234412761423153 0.000153656282911442 0.000178779851461547 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34562922817686 1.32028985963988 1.25991897890467 8.21096290537165 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102123410747819 0.0240252793392295 0.000236239291291082 0.000233282589550259 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34587581244005 1.3202918935363 1.26069594282721 8.20966824894615 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0144892489690179 0.0258970236039238 0.000499131630333907 0.000401318463544487 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34746119149831 1.32098865270322 1.2611387913449 8.21374628767017 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.025239656161664 0.032761566542052 0.00159185941927012 0.0011214034428062 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35358796862974 1.31966813722153 1.27497932902722 8.19668909879365 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0718320230684557 0.0745101740236506 0.0138820191676752 0.00996364964703878 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36291094235822 1.31627359542569 1.30367232797275 8.15983701257207 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.119105379401997 0.120171006432974 0.0398596342430213 0.0280656575047321 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34610524862962 1.31999226833867 1.26259893666324 8.20554641476187 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0208892644141299 0.0300624206189855 0.00108376371895749 0.000814736459308064 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34834608950842 1.3201583557989 1.26597067777289 8.2042462574055 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0393047066796161 0.0453257693333937 0.00402087990420832 0.00295616707814517 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35429131683248 1.31907208802648 1.27872810409224 8.19093032837068 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0771993885997504 0.0814252895065645 0.016298202900186 0.0121417403657713 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4084335414361 1.31679269401078 1.41795830679421 8.14898688759852 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.231578496722565 0.23341851218881 0.162685062072214 0.106544588762615 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.5030346065005 1.32427246736176 1.71338520405367 8.18068235235162 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.385902286581957 0.384947504387321 0.477213639468701 0.278718057497403 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.1695377303897 0.147877679440492 0.357097241525762 0.425314124968476 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0341292119936274 0.0134365457384255 0.00509157952127771 0.00150366413447609 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.169821295589072 0.14945089091845 0.357658967908558 0.426856519199848 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0340622051535135 0.0147545245406068 0.0051044954652574 0.00160205944304589 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.170455139037202 0.153236558783914 0.358406244066725 0.429672883368878 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0345706206500794 0.0184144976695962 0.00537905055996952 0.00193266360814484 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.175627288934755 0.163367738176417 0.360886917848281 0.437039614087985 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0396036007694547 0.0286118381149324 0.00690220665697589 0.00314116288699964 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.216183144371316 0.207233429642152 0.378985820631121 0.468976518139907 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0811569997035903 0.076752651184999 0.0230073605477718 0.0158810539916083 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.263170572169915 0.250695725784738 0.412662422649903 0.504575824837692 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.128971711422729 0.12375146881804 0.0538886899112433 0.0382158724550157 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.172710281503595 0.159399865371912 0.358497880103011 0.432651318807192 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374370815877934 0.0252393503570904 0.00626509450682346 0.00271539590842842 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.186777389124125 0.1778727262461 0.363771871000024 0.446001246484039 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0517397336206993 0.0446368833482925 0.0106866284720871 0.00621555897769436 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.224634332993023 0.216692520033838 0.387092620210758 0.481178187529716 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0888278795854064 0.0849038016306322 0.0274269560632696 0.0190137013169698 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390192198984614 0.357738618387621 0.587958015542983 0.630768255242353 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.248827538253661 0.244443910737447 0.196051044333105 0.13799220449542 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.584627982699039 0.477268128080984 1.03434104272102 0.821771135493151 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.405562470360491 0.401910279400569 0.528221955580952 0.345564088584336 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.36429340471516 0.346962697477599 0.319812946599649 0.756322127582493 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0298647260807046 0.0354374986883575 0.00608552064063756 0.00564406424513463 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.364144543968871 0.347010807216044 0.319950031795498 0.756432360307428 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0298195923894687 0.0354767614179953 0.00603402151766504 0.0056650062438867 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.363495378806927 0.346968940952015 0.319644442671057 0.754707167768455 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0306944817345292 0.0357536736002503 0.00619392172016003 0.00557871358218454 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.366473934559144 0.350900108136048 0.320870162726937 0.761141702209732 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0354653659820277 0.0388623336057255 0.007427707818047 0.00587824625163178 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.389701628827007 0.371297923271635 0.330780213553589 0.793088286740924 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0624702600685073 0.0599614858449103 0.0142749800784833 0.00886383215003216 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.423367106493939 0.394762053135038 0.354069147181024 0.838153313683896 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0897918274937209 0.0860600185840998 0.025578907768584 0.0166256628912854 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.365344233962327 0.349634406040066 0.32024762313963 0.758568973159061 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0334331348046713 0.0380046047379102 0.00692981033590465 0.00576071696937552 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.372369000856932 0.357258989823653 0.323376226615588 0.769748467729181 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0433650299623947 0.0453003681556665 0.00902349987219088 0.00641765582346855 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.397618362315249 0.378730697737541 0.336588004438494 0.810838260470285 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0669086282233892 0.0653094183004016 0.0159406462287244 0.0102862487249267 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.54166657663171 0.46627252209646 0.472642832685304 1.03407497653756 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.162050054723451 0.15887788391708 0.0762771983642175 0.0571227278558368 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.693682479142505 0.533430520898848 0.699912039869241 1.25734213062953 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.257596906069933 0.253497456213152 0.192400062241939 0.147409624310388 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90747747315187 1.86968021961278 1.7936292835063 15.8306703313783 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0185375054574819 0.0437733107873734 0.00628866837888396 0.00191828631625643 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90749518180096 1.86971195253136 1.79339568683179 15.8311869562101 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.019283526905169 0.0438751488478325 0.00627429038456205 0.00199090188310841 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90752455304333 1.86981801882356 1.79317362487523 15.8330203149341 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0215364232638491 0.0441029682142602 0.00647136133729486 0.00208739631791224 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90732608359278 1.86995832767852 1.79189838113352 15.8353392075147 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0273123445670879 0.0458818032072485 0.00678058207775563 0.00250579652834568 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90538491641528 1.87191527959855 1.78017777394533 15.8660190511291 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.054346508550435 0.0686209498405146 0.0105968870593262 0.00812239141713854 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90188666273181 1.87575518859233 1.75885922080259 15.9252366172803 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0823391512302246 0.100709344767326 0.0199385972443019 0.0203588002373867 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90735066501289 1.86986755838699 1.79332050887448 15.8336925892645 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0252415617839935 0.0449263665772842 0.00679831403279761 0.00232865727897464 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9070378773527 1.87056091559325 1.79170337724115 15.8450635878934 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.036194172198637 0.0510028835000072 0.00783922896911531 0.00361183953782813 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.90517622898025 1.87269280096835 1.78224516302587 15.8784130807147 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.058630136214007 0.0726567653464386 0.0117242162229104 0.00933416433875279 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.88655323012318 1.89138711315878 1.69013498138754 16.1695857277082 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.155500751540421 0.184087870464937 0.0699987580671192 0.0768483924932332 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.85058670489806 1.91803677603589 1.58612057230711 16.6080029392194 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.255381004897457 0.301534410159858 0.213009730997573 0.227436722703316 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.177644113760924 0.167039428409474 0.131092902189316 0.23096892082689 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145651551687843 0.0198700976217147 0.00108379462332507 0.00235895577926497 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.177717427249369 0.167602874691433 0.131140648074631 0.231328971437339 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0148777261287272 0.0205276219053569 0.00110268451571894 0.00240793690631751 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.178464920484965 0.169317378795933 0.131363265752306 0.232686931525616 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.015988941357534 0.0222422913244569 0.00123989898463258 0.00257988671556384 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.181594068396382 0.173453231481857 0.131941140955154 0.235593301854011 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0205881582351929 0.0274315063244066 0.00184539046751358 0.00331337089353402 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.204727539420736 0.193897060307668 0.138414875356214 0.253199467124353 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0469443892438752 0.048032635137962 0.00714857207146411 0.00665482616726018 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.232824533280583 0.214200388063409 0.15139453908996 0.273533064522848 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0737614804768287 0.070161905696827 0.0165653437209809 0.0122046150536602 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.179981189623643 0.17172630671714 0.131612113354602 0.233993325095417 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0188923214735758 0.0258628557977677 0.00158470318806494 0.00303881707536249 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.188094997079165 0.179978538672475 0.133367831930893 0.240615809007833 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.028920606569872 0.0346984122843729 0.00313023558438036 0.00430787714833458 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.206960539377784 0.195581168870021 0.139325022150604 0.252840309859546 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0512372975381848 0.0522645300371949 0.00834629736687196 0.00762000365508111 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.314190588038408 0.259905765809857 0.213826512341919 0.331976729809553 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.141035072636862 0.130056243369479 0.0596510269342169 0.0388796660221096 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.428689481166547 0.305190626747144 0.354910807767988 0.404149651182718 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.226701315617232 0.209815629224902 0.159750303926471 0.0929345210277398 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.561380302875628 0.54650967873491 1.00706123775503 2.1595459161697 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0180504372269038 0.0256286678197211 0.00172903980995632 0.00359829767107904 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.561294503428807 0.546997817586786 1.00750965058375 2.16070897944246 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0183163516566273 0.02625498905706 0.00178118239303137 0.00365435815846743 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.561830657764542 0.548489404968691 1.00749384953298 2.16379406857229 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0194350182533428 0.0275913247117255 0.00192223858964309 0.00370966905657417 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.565210855391841 0.552751499078424 1.00769735879353 2.1735336341103 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0244381719684773 0.0317497123510621 0.00264857640339306 0.00410949898396591 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.588034180113267 0.571687655751967 1.01036181912289 2.21714602775911 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.052514749869966 0.0538101617709615 0.00893717709329979 0.0075550625553225 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.613044856439334 0.588602454978134 1.01777877389821 2.25442475177885 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0816717131977761 0.0791802036483091 0.0202645375981919 0.0146623458678477 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.565196208124589 0.552166276746983 1.00765767879806 2.17443636265006 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0224451193341127 0.0299062579464088 0.00231583889220409 0.00387669042797339 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.572968706000283 0.559214874316515 1.00883513390366 2.19001495441513 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0330480004270438 0.0377618061444517 0.00403590574683856 0.00470605657240109 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.591625269121224 0.572646745387118 1.01291765700787 2.21759001025298 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0572559249481058 0.0569691852665386 0.0103592781544932 0.00831501630110359 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.680090903502683 0.619494115295333 1.06463319852788 2.32157705321598 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.156652446667973 0.142766286676338 0.0740582714193223 0.0455544608370306 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.770406816617971 0.65075113945042 1.17875700541662 2.37869290463925 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.252529605184623 0.232113249999251 0.199616618977405 0.113622660498669 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.154692104838745 0.138382333784287 0.135129276406511 0.198271254207998 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.023789563707171 0.0207315480923598 0.0031348751891966 0.00354499785610863 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.155140046075043 0.13952749439414 0.135502242467797 0.19940809168999 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0240781297372542 0.0213847056879344 0.00319106073909671 0.00352414930307577 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.15572810605125 0.141512113316393 0.135800262443479 0.200745820619417 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0248479126522359 0.023374301879211 0.00331407607121829 0.00369269715825556 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.158806676902749 0.146755827792055 0.136686816836137 0.204195462804898 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0281468079316065 0.0279241516849735 0.0038283212318795 0.00393761801779697 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.182451357703494 0.168931142259472 0.143889720559089 0.218273672257854 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0540523668120231 0.0511825204596728 0.0102410552509323 0.00741066467351681 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.212832090829154 0.191896887414338 0.15903992565483 0.236285455243142 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.08401227589048 0.0765197721181258 0.0223287739731073 0.0146388298571076 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.156248963887063 0.143669900464135 0.135449223270381 0.200702433754954 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0268105200589488 0.0261529538165785 0.0037076389979544 0.00377315661318759 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.165240950709104 0.153787649837148 0.138302701993693 0.208028010948163 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0358918037436479 0.0359488573207733 0.00559590635673535 0.00489208858329301 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.189551929353069 0.174929105293925 0.147765380471215 0.225011740093234 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0589314628458253 0.0564794052066818 0.0120105081663848 0.00878489306286305 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.307322240526712 0.252811177061271 0.239914105288025 0.306486877743698 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.161030939726214 0.145870888815458 0.0779547351809795 0.0496722161493224 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.435659209660695 0.314844824732071 0.416154068241985 0.392581446676091 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.260399120741093 0.236292828727918 0.203215485905695 0.123296158719565 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.331129092060061 0.316128970249782 0.419704877195005 0.783345304603504 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0251693458771364 0.0222599415478634 0.00363923506973403 0.00257584410356679 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.331299582112985 0.31700183164038 0.419914840052296 0.784336682243516 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0257434590278026 0.0233729418449476 0.00377556001383561 0.00273461928213559 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.332541684210053 0.319736502862813 0.420695104646213 0.788280714483577 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0275263311530809 0.0258622830908276 0.0041212408135783 0.00287569277111076 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.338069727081896 0.326990094165504 0.422626420505838 0.797465116930817 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0346958777417765 0.0340734464476608 0.00548149974521688 0.00369122700698569 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.379979535172636 0.364154817322934 0.451893013132284 0.861204935673137 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0779231757452796 0.0764379263026215 0.0198310873230766 0.0136777705692355 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.434596222241805 0.405429551550532 0.514098212664017 0.95294018641423 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.12446909645273 0.12061434913434 0.0473063422477087 0.0333184390392306 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.336543138624712 0.325046906255963 0.423281018783973 0.797569579113548 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0317024779115902 0.0311098550638895 0.00488217294641004 0.00336354829753396 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.351017565001492 0.339135640234032 0.43038734944375 0.818635046839312 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0482193241473683 0.0477523706441726 0.0089141545458028 0.00601882993586149 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.389120704213486 0.37012683807077 0.459629719639162 0.872851793689289 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0864025083388965 0.0835333046640024 0.0239041570104699 0.0162190241813027 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.620032951739891 0.517961499781832 0.831817194185339 1.30788956853768 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.243686986015591 0.233095475640173 0.176032825737025 0.122136162917568 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.866586415945508 0.62737251615559 1.42741970553543 1.72245922540486 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.396568970780589 0.379524446082775 0.477728053011773 0.307329673878926 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46325067203847 1.42189327272345 0.714131464550689 8.79746534229782 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235806464249294 0.0326843196839977 0.00919015817155291 9.62853689924827E-05 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46336118546978 1.42200002960285 0.714167777933852 8.79884319522514 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0242712063472301 0.032702643614253 0.00916359924965886 0.000127362160110938 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46334312290627 1.42202029008334 0.714036834023576 8.79911381880003 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0262266803759423 0.0328025817004095 0.00946536003065395 0.000220751522807604 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46324163764537 1.42212469918576 0.713740107842054 8.80048199697116 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0312604426023628 0.0346499257471051 0.00969599480176155 0.000597988507577596 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46184029006762 1.42329600094762 0.711991303345909 8.815727248793 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0560412863375487 0.0596598033971642 0.0128479718128509 0.00529145255896409 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45904288552829 1.42581377537014 0.709779082364373 8.84852145423971 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0802979906243436 0.0924253538795821 0.0194615398132154 0.0161588585229299 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46318515475291 1.4220490686986 0.714164643146811 8.79960596915897 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0296956152963799 0.033694848811816 0.00968074825847259 0.000455633709929051 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46286400530631 1.42241746129479 0.714113094472704 8.80453909555068 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0403972157435266 0.0412788159013625 0.0111123666722486 0.00160347389792033 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.46142815495552 1.42376031083527 0.713714301877584 8.82230810530948 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0601332745263251 0.0660716552742317 0.0141134948341347 0.00699407449968524 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.44808707858943 1.43620394706332 0.718204329106506 8.99067911718826 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144640010517318 0.179927549739989 0.0585774049514163 0.0712049522254746 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42892228265067 1.45418938210696 0.765618190759085 9.2463256164691 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.233327353234754 0.289994827658901 0.165820858015794 0.195379488451863 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.93137151202522 1.89608917191446 1.85495152026141 16.1563952142129 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0211004795074657 0.037448852270266 0.00500312614073073 0.00125864057854269 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.93134900578482 1.89611721658266 1.85400789644352 16.1560022579677 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0220836786039525 0.0374116391399818 0.00512301779867649 0.00124627222346826 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.93130542932838 1.89615930344036 1.85365349033919 16.1565108968042 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.024226333996767 0.0378258269027694 0.00545400208725967 0.00142395237468908 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9310052087354 1.89620186361478 1.85292196865769 16.1569350164871 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029513586622357 0.0403619626220208 0.00619675362293387 0.00184564223848153 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92737385048834 1.89556910060884 1.84873781726439 16.1497310732378 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0528453659249207 0.0634283697870509 0.0115123952738871 0.00658623939872201 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.92060932320208 1.89425442369462 1.83930975102848 16.1366220499514 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0761810062632256 0.092185725085784 0.0191376055179487 0.0162262683624551 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.931679718972 1.89682512038801 1.85252074781296 16.1656983254901 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0277988407325135 0.0393674930923542 0.00607707216388448 0.00177190090845055 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9310485964001 1.89723480989759 1.84999743195747 16.1706580186059 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0373681180512636 0.0470222218541082 0.00796350440473286 0.00300265192744307 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9278250749178 1.89732732758842 1.8434620082558 16.1731781998347 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0559855378118712 0.068806080283924 0.0125529435661489 0.00798012662607526 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8934676691556 1.89000537661586 1.7963767894599 16.1055163760579 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.13370894527425 0.171678432194108 0.0513754906916329 0.0662674685003669 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83482601868971 1.87482383527654 1.7499135293233 15.9465252717364 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.217758665137137 0.277980309042887 0.160315385688416 0.204009133107054 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34758749603823 1.31758454438104 1.25783254340204 8.17890176987624 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0145737623226475 0.0292423332989959 0.00142845404239123 0.000603844124690497 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34786297483307 1.31779673998032 1.2577864958119 8.18011152728447 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0158215445717668 0.0295424850471883 0.00149862742538564 0.000628673611088752 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34841995762877 1.31812908901534 1.25811449547165 8.18227351130488 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.019640549243191 0.0309986934499118 0.00185712400150106 0.000801024487629621 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34990296879412 1.31887283174918 1.25829848835225 8.18677444800213 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0290970310735384 0.0365843971568461 0.00293405137916873 0.00146359621282188 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35361891989907 1.31602148432269 1.27418953777475 8.15515990252783 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0708934713057142 0.0746930233446758 0.0140645159650109 0.00948198380609215 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36257272038693 1.31419784182971 1.29719766203697 8.13339387925575 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.1136967529337 0.118212862384863 0.0365032264624112 0.025981296544232 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.34839615248202 1.31772235755659 1.25904117539189 8.17656336344018 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0260398195307201 0.0341496501591833 0.00253603016269037 0.00115323829959541 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35077676226874 1.31797114725737 1.26136535800992 8.17643809395846 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0429933008508621 0.047328927913998 0.00542263226343241 0.00309899347007564 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.35573744092009 1.31704539669761 1.27256996943015 8.16458960378117 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0790650975819326 0.0809849553294183 0.0173698533981874 0.0114427296773661 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.40174345570576 1.31490934035258 1.39368690692485 8.12596674389591 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.226943146849045 0.227379427969362 0.15410227294987 0.0997299462004994 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48602584562425 1.32177472982608 1.65549019605145 8.15730589167791 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.375365524529836 0.374475991373492 0.445662526191789 0.263262330305065 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.225325825332279 0.19241693556518 0.443391303382554 0.549544922913548 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0611991291921953 0.0502033797215421 0.0196841166420644 0.0433927364957075 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.225437610438935 0.193245993337212 0.443669964950677 0.55036755737806 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.060983760841995 0.0512989353303686 0.0195704478434558 0.0439005062442876 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.225954609943359 0.195524458070391 0.444730309785564 0.552946299972087 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0611572571251071 0.0535147881979906 0.0198256956521589 0.0445710070867164 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.228231966105957 0.202338060404294 0.446661014746662 0.558192459625677 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0631625150387154 0.0603213956280505 0.0212154627298124 0.0450776212822633 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.262420304350144 0.240738028240422 0.478951961025755 0.594249505553353 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0926037917577053 0.0987679106255289 0.0389821133324329 0.0579655413689644 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.310348734548836 0.279899959574209 0.53174499879923 0.631914376861331 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.136218273546667 0.141322708732176 0.0764533814262996 0.0908135359890816 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.226994469380832 0.199571476542763 0.446891093451986 0.55487274273271 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0621119870280402 0.0566305455165291 0.0205104672903461 0.0432753324206273 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.235993947528051 0.214518493547964 0.454293643833076 0.567873522476657 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0694975555829337 0.070513151837413 0.0245278624561093 0.0445089147209404 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.265709192031197 0.244584602189763 0.480877003230731 0.587717556421623 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0980424960305707 0.103641836783909 0.044764848674206 0.0588669411625423 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.440020352611546 0.373367745979544 0.743908164742398 0.737048979577868 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.245880323522422 0.258003142134829 0.222837017578723 0.248323434781726 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.653171183117766 0.487682240260693 1.2943023016323 0.923313151593575 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.403630886045402 0.439898592927023 0.590242780196376 0.722394788810636 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.516876535782591 0.503615512622677 0.578348340051868 1.56309434639719 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.072672157258774 0.0996018246579912 0.065745733669335 0.129778729782254 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.51742021139767 0.503815508597336 0.581285073502823 1.56360740143656 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0728825710524226 0.0992702881692063 0.0656507777587886 0.128422928143132 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.518501597629177 0.504329378457699 0.593315537139847 1.56529969245347 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0731679346889985 0.0990659725993143 0.0652838221355992 0.126152638694693 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.522814461581016 0.507320223353862 0.629145853041727 1.57383121988789 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0758396359697115 0.10105054170693 0.0664953020655727 0.126669789888147 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.555497289530325 0.526487212411535 0.83643868382463 1.62455664810966 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0986508370116273 0.118392684605407 0.0823988851307803 0.134730686052905 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.597564759229597 0.547650367039968 1.0727881361622 1.68356278104621 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.127081865789955 0.143139761563282 0.110860028160151 0.150177150270373 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.52196583915187 0.507274791848344 0.603973684272895 1.57449067598408 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0742737118857955 0.100489406090241 0.0662643948364117 0.128367102370397 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.531821674456699 0.515085860218684 0.633254384866243 1.59853686375478 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0812396166126032 0.105512040005154 0.0699539554044128 0.128838892006674 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.557364146946323 0.530058075390064 0.759192563052448 1.63674658123318 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0991899238448667 0.122497069171845 0.0824012702545602 0.135529374772219 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.718013099803191 0.60609539567825 1.52409762412189 1.89144409995851 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.198424229602722 0.220434753380883 0.223212609763413 0.24932923219023 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.891726004355872 0.666992792564548 2.50265266249321 2.13871061098609 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.316964157280847 0.340820737983639 0.547267041515132 0.506758802701879 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86888840737488 1.81279272434 1.7175403765542 14.930746999372 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0712243027240877 0.0930699443289396 0.08748799393131 0.102772487722546 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86847926599523 1.81297284759381 1.71632795298197 14.9342302466795 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0720508955067026 0.0935604942948716 0.0892421646059455 0.10463561876531 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86791064167309 1.81319598953554 1.71704150795076 14.9386477464918 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0731149198158785 0.0936962154281836 0.091499238958769 0.104637820188253 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86673248432655 1.81382523945062 1.71821239606202 14.9491945169921 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0761286695082167 0.0946284134954342 0.0924172269052237 0.105972471847041 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8558727458139 1.81919417021759 1.72798032156771 15.0343771392924 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0993537879699767 0.111402043188617 0.128714301325536 0.126996169200837 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.84139690467207 1.82829557160456 1.75258238542387 15.181091872419 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.130872871622645 0.141862603432783 0.194497126586739 0.166133269182552 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86714323439683 1.81351334665637 1.71877257728034 14.9423268911994 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0749544575404475 0.0946234061008909 0.0941957790946013 0.106387814142781 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86458509858246 1.8153942143601 1.75873189005193 14.9743840673121 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0834046591455088 0.0991186562187782 0.10653399872595 0.113817287219952 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.85452422916514 1.82139069131576 1.72888915128263 15.0723978505279 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.103344185385088 0.116922279036353 0.134971990533445 0.131965747059275 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78983988263018 1.85811415016694 1.73975455119479 15.6708726867701 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.22422234016024 0.237212471237406 0.453768192085536 0.311508486419634 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.71384406288954 1.90149171302359 1.89709972217039 16.4145022876303 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.369118817369521 0.376608515487386 1.07423922452908 0.620987370594405 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.229211936805988 0.209894577261903 0.175036129370625 0.327245797800617 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.037909212035553 0.0408676698570133 0.0191116622735212 0.017134058121188 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.229392667479697 0.210249799500036 0.175230854187451 0.327585417210767 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0379506268482994 0.0411302244066946 0.0190546046643573 0.0171593958686141 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.229765089406797 0.211242218970276 0.17567070777149 0.328363696628836 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0386712709231743 0.0423118607092066 0.0193184453985968 0.0175296866409409 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.231426638728972 0.214282710718227 0.177239517144093 0.330807616698224 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0417033723014824 0.0463771431645459 0.0201782520502707 0.0186369376738187 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.250289046304244 0.232272647652004 0.193266294238649 0.349754227898814 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0637935568598716 0.0659495926889257 0.0271048530416094 0.0248585573873 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.276665637730339 0.251411026796501 0.219117809731422 0.371402816940982 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0891658677277371 0.0874922448685165 0.0408213110237985 0.0349937611177131 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.231504848591014 0.214226130678535 0.176764514529068 0.332255608709199 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0407950428572819 0.044277569891942 0.0202785196907476 0.017620100754785 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.236444156749434 0.220580621541617 0.180994391851084 0.338325368771575 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0484039916019657 0.0511708566907642 0.0227922541143166 0.0195080581485381 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.253124471119466 0.235556308353963 0.195939600068818 0.355026418691455 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0672558266734225 0.0672582223797193 0.0298699034882179 0.0248700366535838 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.352097858408602 0.293844528820756 0.321348204806063 0.437836435775208 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.151687702035457 0.146505471088822 0.098639263881198 0.0826488786432757 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.463497322069261 0.339390313397139 0.48507411260795 0.520931553660212 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.244388095617814 0.238109024387801 0.261681176717531 0.209275380175545 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578429397681518 0.555589757360993 1.03553257204331 2.21613062358074 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0492056535750297 0.0525793445640935 0.0455696639142148 0.0213386339279939 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578204859971266 0.555634202971249 1.0356927130174 2.2155760323241 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0493666187481219 0.0532471260219226 0.0457550944577968 0.0218038813641708 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578419545633536 0.556495428610869 1.0357774440634 2.21734651060145 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0500500855457474 0.0538215241918086 0.0455788342321217 0.0223490561733352 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.580233824004832 0.55963731281155 1.03506227117114 2.2243470138689 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0526602000424761 0.055997132974296 0.0461015564874203 0.0227646576171954 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.596817117977923 0.576252098453226 1.03799083177678 2.2667303199935 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0750591641827826 0.0738539627594464 0.060661559943184 0.0299164776911418 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.618108451999542 0.592616653495518 1.04079556898504 2.30832279407147 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.103676042108428 0.0970983773910809 0.0846684675551743 0.042720320854271 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.579613929517277 0.558496675786924 1.03528525865797 2.22267438853028 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0518139911645396 0.054474635424214 0.0482639828468729 0.0214879495823327 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.58454595871732 0.564586769214729 1.03640006168832 2.23763648075446 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0591792386833273 0.0596277934629469 0.0501473495900489 0.0228449631317656 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.598746564992658 0.576599218687727 1.04493249518401 2.26476126522292 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0798140035305981 0.0756405023955147 0.0627996054416808 0.0298678814449904 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.671140392838082 0.62353248306812 1.07205262277654 2.39606502690925 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.178910056241086 0.156493978992127 0.190248206738114 0.0922131417981299 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.749897159747426 0.661498828680812 1.15582269764264 2.51329786233235 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.291707867681781 0.259531984761867 0.472393645823622 0.247169888206196 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.237543756980059 0.210873069659045 0.222451019277597 0.365299148815527 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0491049104458193 0.0539678455861999 0.0204483508675349 0.0289363257512815 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.237630990555282 0.211425347975322 0.222431003881099 0.365959752760698 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0489421508254861 0.0541436435175354 0.0199864385000762 0.0289321887692171 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.238050655434777 0.212763919843158 0.222717289733207 0.367411184984267 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0494668898087216 0.0552587571590444 0.0203327444551199 0.0292963033353391 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.240549371273917 0.217234747774551 0.225000937803681 0.372395954522751 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0516332939172849 0.0586418358771541 0.0214426292309841 0.0302162072546628 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.259757447883312 0.236663224913099 0.234799929177553 0.389954869253569 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0725054868510404 0.0784566172151913 0.0316042292342585 0.0370415203729379 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.288977932843036 0.25720191365003 0.254676552035639 0.410261705256623 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.100756090961577 0.101441450892098 0.0486589460683516 0.0479764726204301 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.23878675070093 0.21442050572426 0.223110203540179 0.368520198046688 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0508986155816215 0.0574835369926326 0.0208673186822229 0.0297921648559992 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.244180159997245 0.221346397165608 0.225488484745315 0.374069806929192 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0570820673136848 0.0641766061725784 0.0232717974532341 0.0322871029633879 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.264120080198398 0.237251633468396 0.238860132338076 0.387934847756601 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0773380800072429 0.0819024237010759 0.0328727333922245 0.0393905413359953 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.381907748094879 0.304615378241399 0.366745078920245 0.467782159932188 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.17990250965738 0.172612153788419 0.125176192239956 0.121111408928563 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.517633518551323 0.35952941756702 0.577392210411264 0.547734663984428 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.292090742360103 0.28502747464079 0.330686675738559 0.331247016138113 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.368402539568214 0.343669010792822 0.440075702004541 0.852317421811857 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0510881002052884 0.0562624740954282 0.0199837440196538 0.0217650492654637 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.36835570964285 0.343989550824203 0.440343016205589 0.852213044583965 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0514384294888904 0.0566136918194129 0.0203126569279472 0.0218691732114384 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.368401747374851 0.345001147327066 0.440645233707353 0.852207900428356 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0520644900557843 0.0582620850035702 0.0203706730230348 0.0227734340646474 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.371253864768694 0.349829348629061 0.443591406860895 0.857743004934182 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0564091580487643 0.0634631161537342 0.0221529586996063 0.0241212446526644 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.404259894205614 0.379674495149131 0.481475722457389 0.901826643283591 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0930636076462059 0.0982272479243664 0.0418485219022248 0.0358913809038904 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.459317331581516 0.420007049137708 0.564840255897091 0.997260767781668 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.137731065817977 0.137766242066015 0.0778735744352431 0.0576030121815343 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.36959353337948 0.347804021777479 0.441942393177975 0.856906217435446 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0547953962238863 0.0611010980144531 0.0219901217253708 0.0231644311008081 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.379984109835412 0.359380040440019 0.453123419698862 0.878392259759384 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0655401096327231 0.0729000178164087 0.02665193924614 0.0258508855786086 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.412105190047078 0.385624779989574 0.497931777841777 0.925910168252648 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0971061333358491 0.101845166464765 0.045343240382445 0.0364673436135544 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.611886534412478 0.51004102270018 0.909835664664172 1.27216398406601 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.246435794921919 0.242228283205116 0.23302493157062 0.167909533708464 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.852539240347187 0.620003906733333 1.64142307693629 1.68396321512102 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.410011801043466 0.402651673073123 0.686492761330711 0.497846796702711 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55418211966368 1.49103086661682 0.7479705677055 9.63582694438163 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.107849962715552 0.0912560236123507 0.155748023074084 0.0983058536431108 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55395598764007 1.49109734328845 0.749333617181527 9.63676279458917 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.108628976634711 0.0911578658114831 0.156524256801867 0.0982783402603083 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55370928772465 1.49127044245558 0.752410745310766 9.63907293539019 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.109861120486435 0.0913945407973965 0.157491871674733 0.0987026893464785 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55269355988918 1.49185930934884 0.75893185726755 9.64791713594004 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.112269845885414 0.0922799621908381 0.158552308411312 0.0998742668949583 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54481271719846 1.4956330515356 0.786488813997235 9.70052843572988 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.125281193542226 0.107992428417621 0.165484970068375 0.110937742606248 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53386323103619 1.50122641981302 0.834946623751663 9.77852719522489 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.1485587272325 0.137884196818905 0.205727477748358 0.13961152580048 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55353986652282 1.49151494302516 0.758214120622373 9.64246060320708 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.110665212258831 0.0915469521223815 0.157147532813956 0.0983571699503701 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55157917888686 1.4923412534289 0.769870434234193 9.65378416918645 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.115087074049219 0.0947023679264806 0.160139923183683 0.101450176499417 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54537514646117 1.49607857124088 0.80822446331149 9.70597134452907 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.12785422143942 0.110592642552027 0.173380000983487 0.114556220604973 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.50007994513004 1.52075449829272 1.02656903415605 10.0526553907205 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.21585881504126 0.211156389101125 0.368992134219913 0.217495437439062 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.44158090565677 1.55312139345287 1.29905936178547 10.5271759653058 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.340216037430658 0.327226348285733 0.868045082715305 0.429012409412551 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97852685302845 1.91888279947484 2.38559276883338 16.9623164401353 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0496618024074366 0.0773141128105443 0.0285954153540775 0.0254192495684692 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97878880768667 1.91884258084663 2.38681926366074 16.9614747084115 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0500569012926941 0.0770640063621102 0.0285373357450406 0.0248383877197168 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97889224877404 1.91877112898192 2.39018227455732 16.9601884773599 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0509387857638157 0.0771427727629053 0.0283226792571489 0.024479480177538 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97979018900324 1.91921297015555 2.40138755237041 16.9654804158135 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0551116341811262 0.0786872677371277 0.0297186202630821 0.0258543884817867 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97733361358118 1.9180695707279 2.52883941136945 16.9543879342968 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.079489507751701 0.10111978372567 0.0528138335195626 0.0668914980280504 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97000908141583 1.917302533124 2.77013867326523 16.9523173623414 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.106254725379254 0.131543044405492 0.0836285104541593 0.110800057259937 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97865495891479 1.91870486751325 2.39742869172554 16.958945394026 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0540535444731319 0.0787307071507074 0.0300548227037111 0.0283159943506434 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.97748409091895 1.91870959221509 2.42350315271771 16.9583000809777 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0629998097717473 0.0851467887937949 0.0367795093281094 0.0406021427481219 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9713859697489 1.91834191564332 2.48498794251968 16.9536601278231 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0841505838017456 0.105272006869419 0.0550196776922891 0.068406752930202 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.9137950404862 1.91244774430044 2.87914873298195 16.9033902053549 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.184450622540476 0.2219334306166 0.232627352917305 0.291870171129659 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.83473771488836 1.9036778194513 3.31755615098478 16.8369129034056 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.311860110964106 0.363773698053922 0.685043919326667 0.704519694047805 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36313468803367 1.30798318923358 1.26474569792539 8.05232446284468 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0500649450517521 0.0587117595136982 0.0386327338418802 0.0121120100210158 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36385773926476 1.30872685644634 1.26383382896713 8.05824822002171 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0508686204326042 0.0586915216897783 0.0382002607125728 0.0118527851635046 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36407878577006 1.30896068061693 1.26436038602237 8.05892834659757 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0524504931645864 0.0594704188388848 0.0381357810819995 0.0120157208876597 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36403682696188 1.30886778428262 1.26668034366576 8.05475287812317 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0581592625904496 0.0628043935431992 0.0401596713667971 0.0135345275926524 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36637735676748 1.30997393621893 1.27792837925593 8.05465192327759 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0903972055343296 0.0916213946526774 0.053861701541059 0.0224309071103997 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37044019253564 1.31048741336171 1.30638259931091 8.05391624345555 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.130614065931439 0.13122146580023 0.0894986151963074 0.0441157003983363 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36434991987321 1.30867414033199 1.26555608084437 8.0545824518367 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0559596783603033 0.061373113736787 0.0396908398063759 0.0124789369131552 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.36561593326148 1.30868300663773 1.2694986575499 8.05014356796183 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0672547408707095 0.0701476788004893 0.0448234799353217 0.0161670310295868 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.3685410540405 1.30832220505737 1.28299641082728 8.04011517806401 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0939533306159127 0.0961062694970965 0.0556997506620571 0.0258008368449899 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.39468230157043 1.31028851352663 1.39839512252889 8.03302840628217 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.232982762201844 0.229481453717793 0.244998734644241 0.121515340515521 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.44231903555372 1.31958658381333 1.64296419860376 8.0907445788445 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.39621879591251 0.377283177614359 0.774389158634299 0.337238728611107 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.775319337669098 0.793445276259112 0.393422432045809 3.26701320830652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28268088401503 0.282303043767146 0.182884320307313 0.473413629012983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.776269428733727 0.79359831602095 0.394314546400449 3.26754286634751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.282843176670764 0.28246444420674 0.183077931180872 0.47375059232075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.776490925563139 0.794071745197125 0.395723609953833 3.27069416978088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.283358339124886 0.283621719579254 0.183629550151628 0.47713829279251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.777005482447414 0.794474616956009 0.397246982193885 3.27197232873372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.284021495488802 0.285236282865363 0.184984232400947 0.481919826518593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.778874227489049 0.796135367446096 0.402717288632764 3.28138933669671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28789621977787 0.288969013046912 0.191333847000793 0.489908505253709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.782532534121325 0.797481030925837 0.407326907208427 3.28582623349662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.292998236673154 0.292834096401974 0.199083546180388 0.49765888844956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.77583636955646 0.79356974063779 0.394531033148049 3.26673804800597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.284276327927978 0.283869988044982 0.185421044535197 0.476702652784401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.776363895992631 0.793895207403083 0.394520141291598 3.26696255105273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.286235105235966 0.286118966267868 0.188423000605047 0.480955650543875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.778956807070313 0.795565808394566 0.399723202941272 3.27509627445221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.290130027843959 0.28928913734674 0.195898487285293 0.488976911186977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.787971290801723 0.801402755672496 0.409625863989765 3.295091668191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.306187427284483 0.307352029629067 0.221350982240801 0.532286084236024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.794260260084015 0.806614621688567 0.420863586311581 3.30953785808469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.322882551273424 0.326060395250044 0.245995346001582 0.584331475994725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67707434770919 1.69364773438467 2.21739410587149 14.4690402124542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.926216281855925 0.927100602099086 1.8824140226076 4.16561390738661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67743951835934 1.6940403268194 2.2174956216714 14.473235450286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.928953039981143 0.928725492793038 1.89726419622272 4.18124877879647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67838427444093 1.69533265524388 2.22177708589107 14.487943130125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.931785899396884 0.930701208208609 1.92275118456225 4.20002437785741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67849255900361 1.69728210433312 2.23075233080771 14.5090650968687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.936480599340192 0.934865883643768 1.95932780861493 4.23539360715311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68415741538689 1.69999684347607 2.27794011285977 14.5347999560832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.950806981925275 0.948366627783373 2.04257667223953 4.33004765714806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68912478574245 1.70472821673182 2.32849156934853 14.5823163600597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.960703488540516 0.960467574221907 2.09379212582304 4.41180310670989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67868792037227 1.69434603312453 2.23911973024908 14.4679575055051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.930427976483931 0.934610874675488 1.90549317697219 4.22810981350558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68066599925238 1.6964376286116 2.25476352214579 14.4822482684666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.936437080362198 0.939255506733634 1.93418660399628 4.24888272888143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68160884446119 1.69824752872414 2.27379836641448 14.4933212845146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.949067878996328 0.952057628701926 2.00390532616467 4.34555665582045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.70050770154173 1.70963463137987 2.41631575904837 14.599704250699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.977423458376607 0.984874927649078 2.14187440380416 4.57921241519799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.71197748213619 1.71683308253041 2.49093763879979 14.6258532510389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 1.01429124066492 1.01732665607542 2.31621833599127 4.82494954671657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.78295892000424 0.691866790373212 0.756587987172803 2.95892997075001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.213913673476482 0.213169704628411 0.243434345298576 0.277962947198728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.781971810214027 0.691470353133389 0.754972901516704 2.95568761300214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.214283894263281 0.21457983733075 0.243771466527361 0.28160920811608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.782813964300986 0.691700298633902 0.75718323816551 2.95633778093975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.215357847367251 0.215151654589778 0.245308951663919 0.282257119873494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784070947307759 0.692058139523886 0.75890553021297 2.95763385173726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.218378942024597 0.216539414518936 0.250551777430398 0.283672199465064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.788332002604513 0.693786361792706 0.777218203121579 2.96379954333168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.222821238927822 0.228269387873236 0.261815093438493 0.314091939669791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.785916634790544 0.69359808763388 0.774185941061562 2.95826120001512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.228687816289827 0.232414874086913 0.275574426988326 0.325186004868599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784180260980324 0.692468750286499 0.760532862785138 2.96115105649039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.216186366404899 0.216283144034638 0.245847082191074 0.283391436789303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784991186160166 0.692520014989109 0.765203520362219 2.96055061354306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.221721425611931 0.219673729607416 0.25968243520452 0.293384587865469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.782605024807399 0.691733390207512 0.769887535189503 2.95323718096394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.225941508122751 0.222349796839376 0.267259995534731 0.298128961445239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.780491559158819 0.69265429610075 0.768785470337895 2.94575939049591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.242725865107237 0.239254615418285 0.304205189232828 0.341551825992646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.777559036223435 0.694832042826247 0.774515907175558 2.94084591738592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.257205773152079 0.251000509822252 0.332722020776605 0.372172329079278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.911091010318776 0.890631905451017 1.3114387573037 4.78450797178235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.184560657135063 0.183894698426558 0.202810461700706 0.253810389288196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.911295717487303 0.890530190919269 1.30901313728615 4.78187730777035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.186074125489504 0.184124586490289 0.208926430312569 0.254483374807524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.910067982449753 0.889656023878837 1.30657545097388 4.77311210237642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.187064956468477 0.184310949926682 0.213701204751818 0.255014599000245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.908972247184132 0.889553309149875 1.30264327085681 4.76941491834033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.189138825622656 0.185465705888125 0.217330834164349 0.260855165365462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.907321562445323 0.888494108941856 1.29592920923475 4.75147762812133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.19346933975899 0.19005543306614 0.222920468355476 0.277898951256088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.906886783755831 0.888364165806454 1.28820131113839 4.73773194622811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.197504760491999 0.198570476192452 0.235615947978696 0.311239443855396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.908948259578904 0.88936948750718 1.30164535784798 4.7683430206595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.186836064189012 0.185699050432306 0.208563559579949 0.261143789182728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.907212790132453 0.888765469504981 1.29702623352325 4.75993310005608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.189314421568711 0.187567710701889 0.215537501136917 0.269170698036238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.908397500013688 0.889028115284904 1.29788937224908 4.75294620652021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.192180780069596 0.190933551836053 0.219306751068464 0.279599606533292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.904348687892553 0.887198988822093 1.27053024449319 4.69893517676463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.206868332187007 0.207666024467925 0.240568620061301 0.337092937919575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.902462889274885 0.885413976072099 1.24027549689812 4.64262717821133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.218278730790199 0.222975392399653 0.257641386213103 0.381430873797401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.951668776637333 0.985824490224715 0.806556458416111 4.93392224900913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.338285188125669 0.336704471128785 0.21430648611112 0.54776123703745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.953040098585482 0.986917766370241 0.807418578372132 4.94372596122683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.338484880204925 0.33739035996542 0.214690444855014 0.548850636312874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.952759141426847 0.986716714286039 0.806647282854559 4.93983397013347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.33937273534426 0.338281145757429 0.21620246738924 0.551530649226782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.953249023402859 0.98749934824858 0.807887696544325 4.94384919952754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.341554228191453 0.340838400495428 0.223186403082935 0.56321436061596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.956370988684428 0.98940794108127 0.81407660231215 4.9449108562213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.349144317451388 0.345971741921368 0.238940673136131 0.577262527455628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.961237819421685 0.993450688962189 0.819918190035144 4.96402798504446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.357025886547244 0.355617510007767 0.255439680413876 0.614495649913279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.951442015017866 0.985037099393827 0.805739613713148 4.92368592053118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.341217977798378 0.338104305775361 0.221348546724975 0.551869041832278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.952158569871405 0.985415296333195 0.806481447059662 4.92209170131891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.34390382036946 0.342765589235726 0.227802674843725 0.566534285247582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.955674381028278 0.98804000834988 0.818077132761674 4.93203932366533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.348972851230061 0.348228731919001 0.242974719848071 0.586221059381071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.96195221532112 0.997367186913592 0.826290137355757 4.96242847995424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.375906892042929 0.370913024897933 0.312384263170509 0.655608629364096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.978203691902962 1.01421253217166 0.856816400466088 5.04623539876505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.407183677811745 0.398769394184022 0.386200551753727 0.748190380586285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00585575451309 0.838921174142456 1.07875186786029 4.78952384407879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.417410905371156 0.418051239743954 0.790306019451944 0.923877347990591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00555125697385 0.839018962132546 1.07902116810916 4.79000452785135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.417751181299427 0.418033331894231 0.791102732376929 0.924616134043681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00610117964828 0.839169269268286 1.0838867501777 4.79050829335386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.419891891068962 0.419685932078397 0.802621741613233 0.930426683648405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00858615810723 0.83952615193555 1.10505197085856 4.79182758346109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.42078267845465 0.421197234686716 0.800319886636503 0.944558023911013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00748920865691 0.839802654067732 1.11290390181902 4.79078361694636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.429632225522164 0.431540371959651 0.828994772067769 0.980527970451691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00960127434257 0.84061593713111 1.13251241812846 4.79348358699034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.436604952038969 0.440187859722473 0.839917765271173 1.01692645765713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0056349978782 0.839207956508717 1.08332458261587 4.79056166935352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.421191156683797 0.421459206809166 0.806567842366533 0.938542163048817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00651297138628 0.839539132567176 1.10566597588596 4.79160326153611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.425753847597325 0.425394322864541 0.814914663747182 0.955042425198044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00625739428225 0.8394708304861 1.11480808755005 4.78883699731156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.428691641477869 0.430500850905487 0.823579288653739 0.97827286572412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00210648011748 0.841591461178286 1.12710905984462 4.79328470233601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.45049152847281 0.450135301510437 0.886323774548755 1.06826418158933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.993692963950569 0.843072056011191 1.14598044725789 4.79057178348724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.468198470799771 0.471127976321122 0.935666801585834 1.16491644860842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.784595896428859 0.80948476996027 0.395902889953875 3.48311131657853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268481388211098 0.268397334566664 0.141447847699232 0.404738985642401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.785079405079798 0.809602922365514 0.395504218946444 3.48318354722642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.26861151112117 0.268904946687217 0.141452530803291 0.405581455035383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.785817043735372 0.809895991754773 0.39564546823828 3.48404104588527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.269024839808906 0.268870875278135 0.142287545232455 0.405427686997326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.786094617885153 0.809967990481716 0.396550742258795 3.48316285279648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.270813667535417 0.270718362086663 0.145818694287271 0.410485917719742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.789011433325837 0.812361063857969 0.404709208414966 3.49394120026744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.275629644485569 0.277058169913575 0.15347912017344 0.426485451185964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.79247381897728 0.814874399832118 0.408514105045573 3.50386637806512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28139353326654 0.281147209322538 0.16384979193638 0.434512568332346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.785831259892061 0.809984052713488 0.39603227723646 3.48461027308934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.270340614484596 0.270208775109772 0.144772632829199 0.409832495722399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.786477500305515 0.810145262670723 0.39722872239672 3.48381037019885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.272243306782559 0.27272027473955 0.147779374232126 0.415474014494229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.787822451812533 0.810996831137983 0.400648293818707 3.48464682023496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.276366225654357 0.276450517964318 0.154472097402207 0.424743966226135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.797435553685442 0.819715453116272 0.420776540376041 3.51989759863666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.297510724806544 0.293959228907507 0.190599717014389 0.470916121590864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.806516852755849 0.828692640708948 0.438710841597254 3.55046957261695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.322923414247188 0.319959763989456 0.230958319610405 0.542515613326934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56520312357065 1.36439105146778 2.42367266114254 10.6875146740743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.667644613543618 0.670047970085867 1.68853727425786 1.85919790760868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56533272133957 1.36493519541734 2.42726259891546 10.6952382306194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.670906107505462 0.670950973614745 1.70151350005531 1.86653290944195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56448531388228 1.36451325523507 2.42722439740378 10.6878282227306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.670990993557599 0.6723636690839 1.70115637387635 1.87835332746866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56359928975553 1.36486323488576 2.42550097680028 10.6886378985464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.672209850610893 0.673257884525997 1.71076326762107 1.8878370405754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55741669111628 1.36308336629224 2.41611981149606 10.6503651564489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.677904296064229 0.682839501202275 1.72526413393319 1.97748203791913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.55163738172798 1.36243987863483 2.40831125537385 10.631827320927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.682933227527493 0.691211722578406 1.74165764824829 2.04479334951422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56428570322957 1.36492967481802 2.42718468495525 10.6920322093675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.674799636792944 0.671867558670835 1.7198060875551 1.88541824349445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56254252441079 1.36390276239251 2.42102868900874 10.6697388138937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.676797900227477 0.673993598507573 1.72119739667432 1.904530592078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.56017913901922 1.36464208620296 2.42456964381122 10.6653404436526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.678640408049005 0.680184705739322 1.72549701836583 1.96195373347911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.54808619605624 1.36383510023995 2.41203282800483 10.6083045956293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.700087363911686 0.700741439896426 1.7979313123264 2.14642388190364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.53433375642078 1.36075331668503 2.38387890766432 10.5142747816641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.715079224319152 0.714615601167438 1.83965194656249 2.29248069385761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.697881320334355 0.703031287944345 0.247624551558678 2.81952056176803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.244370017412327 0.246516309196594 0.158128303027021 0.392981585777887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.697716599668452 0.703088762432515 0.248722627159813 2.81998471959156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.245560949395777 0.247512246533258 0.159817910217765 0.395931624473205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.698468357185279 0.70324304959546 0.251127342771255 2.82030921709489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.245929232106969 0.24730274014304 0.160673414247121 0.394531713835508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.69837113348296 0.703287471715647 0.25113986114933 2.81999315369579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.247241832619614 0.248607495365788 0.163312595564277 0.399197919172452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.700216113423779 0.703658031667168 0.256414251189945 2.81991016327176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.250830908351191 0.25247631867814 0.16856672208013 0.409065919338607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.701252734137434 0.704072390314583 0.259682282648022 2.82029673181782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.25606336776838 0.257896244174653 0.176350769371715 0.420881454410936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.698524756066901 0.703349580689259 0.250536139861537 2.82074467166737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.246035934226804 0.247681155476696 0.161083039258983 0.396042739861042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.698895800497677 0.703055410207326 0.251894433646675 2.81845559723014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.247732142760214 0.248935413165934 0.164256359234417 0.39794797790124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.701145776168553 0.703697404380759 0.26120146113082 2.82039880308745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.252144961494035 0.253705256969806 0.171697891033105 0.412869562428274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.707036783477437 0.706146293196707 0.274213758193416 2.82658995777249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.268342199848045 0.269051326862648 0.192092967625117 0.444094969910217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.714286100423361 0.708925476982634 0.288449654204058 2.83157357740837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.284571703432079 0.282943795486865 0.212919510272389 0.474827563279642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.513819067021284 0.533661299025436 0.1683970791937 1.47759117269163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.197797892730763 0.198128746948353 0.0544793421422149 0.196266363099509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.514214079785513 0.533997061492639 0.168779941946978 1.47872991271954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.198156243002696 0.198553646425314 0.0554389937571016 0.197343456146018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.514463515839706 0.534186746931914 0.16938027826118 1.47954415515824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.198410558167143 0.198625976442599 0.0559111210696285 0.197432303301202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.514612549419218 0.534385335823861 0.16934481471815 1.47980754593986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.198777374214885 0.199202929833098 0.0560827488146334 0.198281460114132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.51632614897112 0.535791715822006 0.170825088425558 1.4828292796871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.201875223195112 0.201937161375337 0.060779364897818 0.203188338011378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.51792956778461 0.537358465259932 0.17310625953682 1.48690523721889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.204250288028399 0.204516454923885 0.0634968221649733 0.208150412364672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.514028225758024 0.533748756531683 0.168861486552815 1.47709381849745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.198350737012916 0.198400839938473 0.055171666467726 0.19664888224345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.514554782302606 0.534653165174594 0.169128456790259 1.47998648452108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.19927688265072 0.199037453025953 0.05602434128472 0.197805237532462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.516084355710929 0.536079622405479 0.17026952501262 1.48396935033648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.202240648136467 0.201707662469325 0.0604587154304033 0.203318360217942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.521154463622162 0.540846935362588 0.17417615613661 1.49371625766472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.212231921890026 0.211366506015069 0.0718899079551666 0.219313480197383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.52588717837304 0.545786349363774 0.177659371810459 1.50156067828517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.224745589658231 0.224427682681501 0.0847016857581295 0.243822182707648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.793478062827832 0.778124333193691 0.822839132892759 3.28824274187543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0475226189360508 0.0474883789253225 0.0115250293046217 0.0145396583915722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.793948625933705 0.778365301808295 0.823309639224435 3.28922331015291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0485160373873729 0.0485037466908785 0.0129282822663672 0.0159725816353861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.79417061724425 0.778667203797953 0.822490932033228 3.29030764025727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0494800169000185 0.0491570922162535 0.0146247055884707 0.0170745605710445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.794264144439168 0.778835608657577 0.821048254460995 3.28946112063423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0510915983673405 0.0508656701489645 0.0169584373284623 0.0194089168443085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.796898852783998 0.78129353038481 0.819809219150332 3.29767477457416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.057734480958296 0.0571461704687114 0.0254231476068433 0.027365321770999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.798166853180172 0.783735725049245 0.815467928052124 3.30327097605577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0666358456454087 0.0660277794389322 0.0381357319986401 0.0415427263114759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.794221646820829 0.778987607098002 0.820161629560003 3.29067911852633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0504135398360227 0.0502880521526118 0.0156273953781887 0.0194044488853428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.794723011250128 0.779960161237838 0.818212107534328 3.2933157234356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0530353781872561 0.0540066627153186 0.0188272721308798 0.0251113344653814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.796655717533238 0.782151723094855 0.817793623852171 3.30008931460354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.058528163158701 0.0597168914503391 0.0260916109919172 0.0321602387942667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807227549826429 0.79262556866232 0.813457214262007 3.3324596070736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0863433314798004 0.0878559836215846 0.062466474352235 0.0700759063836707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.816598447861086 0.803463099494869 0.795642819449206 3.36665435470044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.117322033835018 0.119713102690523 0.0976132027421552 0.112055482675806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67179477067308 1.65036793431506 3.50159273551595 14.6322166974111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.25943469879053 0.260238384529163 0.314495905370871 0.437209111435469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67254402562365 1.65150400174573 3.51183308346524 14.6463749625459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.261481027267498 0.261921865363038 0.322793521884205 0.442381126590232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67420269890786 1.65230288284025 3.51836163870057 14.6497134705718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.265580346830515 0.265362416728625 0.340974585151082 0.460434647377287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67624426478784 1.65335670810422 3.52237866369982 14.6578762317682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.269914757672808 0.27102455211198 0.360764243425768 0.484470671227566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68072115581057 1.65899769706359 3.5382610391358 14.723841976478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.28826863974355 0.287109508231625 0.450631755658436 0.560505439955397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68583179579216 1.66587424174627 3.58236020069067 14.8015816434909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.308878051026966 0.303832461513685 0.545123288929034 0.644831578571775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.67578519863587 1.65317187344295 3.50882976922919 14.6610841710572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.270137822081455 0.268834002910749 0.373037849528913 0.483194563061569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.679686365146 1.65467617090642 3.52465033823043 14.6697171687293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.275994943276448 0.274011794396676 0.408416297756338 0.514187174902116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.68385363888052 1.65843959129107 3.52911513832569 14.7064680760546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.293474824257636 0.294360832286698 0.508225414259808 0.62271435167161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.70275175486103 1.68163149636938 3.60884329794802 14.948583952204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.348198929020565 0.345592920496029 0.765746970208854 0.884792317944879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.72352420916723 1.70288195551455 3.65155442371695 15.1425179656761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.400349878784993 0.402900977479007 1.00628609474768 1.17992834064861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.913450986426929 0.855645801599576 1.46328263343115 4.55131170202497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0853649232346359 0.0854704119539591 0.060273536288561 0.0622703892858305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.913547368936647 0.855520775253304 1.46296759821987 4.55014312321153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0858628195969002 0.0857503934429035 0.0608530241557143 0.0626550410128602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.91245898844544 0.855518645876182 1.45976351027713 4.54934587893464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0873977699828742 0.0873702200521676 0.064862170968661 0.06695571122045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.912211037242692 0.855789411597556 1.45853600906553 4.54985527916059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0892493501234651 0.0898465152033896 0.0688610092699133 0.0736620008028357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.914630729305291 0.85886161726363 1.45820909825412 4.56580774426666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0990503911638168 0.100322662494736 0.0886620539654998 0.0976565879042731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.915690422871175 0.8621746937981 1.46072959480974 4.57996457817355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.110079682795576 0.110621435089885 0.114463591015295 0.117251138406882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.91418164503106 0.856724378562073 1.45867790657197 4.55596622977506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0897723153148498 0.0905952076076174 0.0716362615265874 0.0762667231387603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.912908210803096 0.857739364157053 1.44972064711101 4.56082839895873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0939060141316415 0.0935913880415819 0.0810188748198137 0.0794389174392978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.914133919348854 0.86036193328203 1.44455114996133 4.57183508032848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101294896790095 0.104249039278461 0.0955853220825987 0.106950071204886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.918925783065488 0.872106729719313 1.45526318953089 4.61854691849786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.132980065052028 0.13827652370496 0.161433485149322 0.18474657109992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.919891226264275 0.882917319508799 1.43503117991362 4.66381890396674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.171714039122903 0.173485147697642 0.246386842711413 0.261777122133571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.96684984156452 0.946520226020757 2.18777090158584 5.76766679848392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0386662348292914 0.0386320926335593 0.00991788073515774 0.00764283162147565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.966753969016115 0.946535670562109 2.18487340268782 5.76583096832652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0389550395854298 0.0391340989943559 0.0102186899972769 0.00806537856095929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.967859939191834 0.94709974762971 2.18692145580507 5.7676984526849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.039596073615578 0.0394748754219948 0.0111731863481391 0.00850451766759379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.968592245193785 0.947790333845638 2.18693111350035 5.76754676446535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0408479199300201 0.0428777853559814 0.0131278728250351 0.0190326397270011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.965946364749787 0.947227876038576 2.15805776027072 5.73174345271255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0481739321997741 0.0488784413558895 0.0308324397447408 0.0304697465385305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.965989223271816 0.947590975780198 2.13926897055123 5.70638195976171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0562334660523443 0.0565436071016396 0.0495540590670975 0.0421026404659121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.964479858078163 0.945582512819851 2.17200538196156 5.74915279142056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0404384018418961 0.0414264342088531 0.0123838853792172 0.0157134666980798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.961715552318344 0.943668922017429 2.14949284819522 5.71565776085952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0433065507594478 0.044919997267028 0.0170614124191532 0.0269507097936959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.95900329117475 0.942106061485694 2.12364435760773 5.67551155690858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0488252487715326 0.0522580020238894 0.0239187818133461 0.0478854151731054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.958051104375923 0.942481142976979 2.04034191457235 5.57705789936564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0756084806600311 0.078376359855345 0.0721331438654446 0.0954650485136988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.961595404606823 0.94558824221245 1.95786457386464 5.50948273581271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.101560096164151 0.106765730173274 0.1006046895479 0.135684919861855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.986753428957753 0.97075049016641 1.60701666738632 5.37881732995787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0511598498923026 0.0512053578178954 0.00806986179776788 0.00888960454133197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.986827318672701 0.971089980577202 1.60767673159339 5.38021328934111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0517703381268902 0.0518862727108515 0.00936587153320455 0.010436032562828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.98665324230241 0.971297493190036 1.60610961270506 5.37962550629012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0527287666417377 0.0529068103441692 0.0115598738998207 0.0125576914472197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.986153343571825 0.97119828770276 1.60074066010052 5.37381385840841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.053992806307749 0.0547632366487807 0.0147520238049283 0.0162866410172663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.990879760298123 0.97538532212873 1.60007536273122 5.38823463306786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0627099302288183 0.0647300757610963 0.0307415099485053 0.035723151606037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.994394674412164 0.979467865348155 1.59275330776833 5.40041693341139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0718606274317718 0.074842202443674 0.0512626598145983 0.0565461004911118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.988219259828296 0.971989080611876 1.6065702663855 5.38184598799267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0537524988966995 0.0539912514243047 0.0130454922648473 0.014172064031552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.988370587534842 0.972668865992647 1.60213804459738 5.38023246687273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0570631136371342 0.0559169938673415 0.0215819543936908 0.017476159413192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.990099783184411 0.975133366874997 1.59233164292369 5.38352112903207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0655091922711841 0.0635323195726083 0.0403921842853669 0.0339559360263382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.997028118584315 0.986420024245583 1.55608580970434 5.40046746359107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0980376602487532 0.0970545640601812 0.103800777900259 0.0972930787014508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.00399320364105 0.99821567366439 1.51299234175325 5.41312173919367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.132660016520409 0.130928772263763 0.158247089178845 0.157086790763482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0142513413768 0.913189209020684 1.95085571306806 5.52651240949979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.110749443880025 0.1105073268144 0.0685153919766231 0.065373738791046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01595498826172 0.91331559173955 1.9611993890967 5.5265699593043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.112036706772908 0.113138647873576 0.0708709809416819 0.0733908358508345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01578283682696 0.91349498891608 1.96116771407996 5.52723177456826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.113639051708731 0.114107218076306 0.0736659926714405 0.0754287446075276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01450746213536 0.913977091520147 1.95981412611659 5.52952610588935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.116588234505593 0.11833483557653 0.0818726855809407 0.0896379786693808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01509187404125 0.917087623950026 1.97078988867678 5.54403516178388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.129737214601552 0.131658765104291 0.112169051307185 0.124263523182329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01704037181004 0.92039781769772 1.97388864317931 5.55748815080759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.141992191731711 0.143762074819852 0.139040401391112 0.156905113544652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0168528797301 0.91404050520502 1.96697424852443 5.53043846151477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.119116156199271 0.117226351862872 0.0976057410552801 0.0810536123590451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01441680315558 0.915042707173505 1.95994636923524 5.53533377062191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.123394702761421 0.123530213177206 0.103471819007813 0.098093221253922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01408167392799 0.917614185120966 1.95284305465655 5.54677791730366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.130864664665922 0.131448672878771 0.115180703348655 0.113209869712596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01483593498644 0.927578505276722 1.9396044809167 5.58608958984219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.172478326455452 0.173426942241869 0.211540425006767 0.211867164413422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01380841869742 0.93612850158831 1.90964691169467 5.61566301686147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.212241403186695 0.213162270740758 0.307770878971949 0.315326650823576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.799268859987975 0.782336040500624 0.946586145823196 3.44271843571162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0386769718650438 0.0386833990223218 0.00452219084901093 0.00599690060259768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.799607115874389 0.783015908623576 0.946130344153067 3.44593061469504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.040700965416661 0.0392336695214478 0.00903186667939378 0.00688338976024029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.800090282241768 0.783533075871741 0.946570683173191 3.44786157679558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.041345723641874 0.0409211114949961 0.0100278682204169 0.0106515783742999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801132606308179 0.78471789311955 0.945928581850967 3.45222645736045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0446399518517533 0.0438928918946482 0.0170651017182763 0.0166024899205595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805464743739076 0.788459894845054 0.948110567122847 3.46385103528492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0531870215397724 0.0534897552402431 0.0316522976564372 0.032697877813089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.808963892119149 0.792378147950298 0.948405974882458 3.4757314400043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0609999567016165 0.0620182372030575 0.0412254223028567 0.0438262072583288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.801183226177676 0.78389745846752 0.948936817483944 3.44712862655664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0422862987051706 0.0421844993345022 0.0113654819750449 0.0129393989528532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.802942954278978 0.785310572783212 0.948369592563494 3.45088316969863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0451360529544884 0.046091967203245 0.0155875982258922 0.0205741209106172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805656474090466 0.788282188951631 0.949999060311694 3.45956218744814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0517393844455422 0.054377365810554 0.0248049470027273 0.0336702207021051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814068639700465 0.801341550846339 0.937845667658814 3.49396706629696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0835576099155748 0.0849975187601036 0.0672644911305678 0.0753696114483799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.825442373970806 0.815329251788319 0.917639249818802 3.53331447119178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.115931939688881 0.119452109321861 0.105932334077032 0.122369229081703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42344389971614 1.34123908435655 3.80781606346068 11.4165924086601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.167365612510647 0.1673362617375 0.182468395046009 0.159400917921481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42294374559042 1.34117194799031 3.80365217199236 11.4106150280211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.168338431191804 0.168195392052544 0.186223389681862 0.161895155777043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42255049027245 1.34109932971294 3.79936697168993 11.4079670124257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.169577491564628 0.169798270016507 0.190042565740019 0.17007708953693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42109570481293 1.34064790165188 3.79419143386494 11.3988447905296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.171564737694092 0.1725122762537 0.195340693418537 0.18188165873565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41688107074242 1.33822055015727 3.74908899343154 11.3320930892016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.180187381493805 0.181603455717443 0.22478599463544 0.218431639797628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41330831898723 1.33685584627624 3.71338527184187 11.2834518520378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.188060457865956 0.190879098178531 0.249125321645201 0.253380606297997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42148400821676 1.34011197671059 3.786359461089 11.388589188417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.170222631003398 0.170711625319498 0.192598822325659 0.17097562825147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42115506957511 1.34037131262189 3.78105038523461 11.3868926225411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.173619824872947 0.17396604935207 0.203900257411107 0.185076470385562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.42008188313097 1.33992808927637 3.74971082375165 11.3532478367401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.181615055412796 0.182505807151254 0.2277338664196 0.217341443084381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.40572330935616 1.33545989956104 3.62227986532804 11.1677261138964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.208166733508323 0.213330244087719 0.303387821683939 0.343630936782684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.39296272613839 1.33113508916633 3.48538668094321 10.9854585659906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.236473731824325 0.239698654014719 0.382978021328683 0.43848750070332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.734103884774918 0.70977605783772 0.770603588012096 2.86613018610016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0397152991766895 0.0397879426843141 0.00586092365613314 0.00750139896828085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.733966021112171 0.709896677437578 0.769987063793473 2.86651804599682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412380804070419 0.0414813216592858 0.00798419717163351 0.0103265684888698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.733933762179131 0.710054733094658 0.769758281285887 2.86703163815065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0416134455853697 0.0419273937564994 0.00827193958137242 0.0104121766303157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.73432748359686 0.710569516704112 0.769452796607064 2.86865959014468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0436584524229525 0.043562949356147 0.0108210106313569 0.0124741819555631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735024816821915 0.713385135941466 0.767486707367219 2.87662580261743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0522832372614486 0.0523053509927268 0.0193871385961921 0.0223300118739135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.736584208434367 0.716391374089762 0.76591965762523 2.88484407465825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0612003539298011 0.0612788379080674 0.0280036830511378 0.0320181694884697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.734546570074319 0.710361800653242 0.771156268805886 2.86774395360364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0426536019979148 0.0421217377708827 0.00944041077160141 0.0100006453664879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735562613383219 0.711452843190063 0.772649864634308 2.8709674196848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0459445060633946 0.0460296497765025 0.0128299582054231 0.0158471940904866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.736194799651951 0.71397304923953 0.77088118812145 2.87828706067538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0528064943752389 0.0525927624438096 0.020033619759981 0.0227409370141253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.742733312880458 0.724176437259974 0.761907813980089 2.906968878917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0806171228941459 0.0829352076850318 0.0458201304741203 0.0559800859294537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.748712577344894 0.732888706580845 0.743451286248048 2.92933305244716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.109667567150587 0.112013720571593 0.0757612121985121 0.089586595373554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.522122492529184 0.52151305416777 0.403132726721116 1.51656262541992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204945725700499 0.0204912003152978 0.00114373739619375 0.00225813269306963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.52246557682289 0.521903476111891 0.403265340551513 1.51763687135647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212711239437682 0.0210515355253231 0.00215603936708524 0.00276995769561011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.522741546102387 0.522233708302642 0.403266022406565 1.51843929380721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0219373867515867 0.0215819476386535 0.00281977578017335 0.00346076402807341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.523750595674437 0.523147123095027 0.404104568038535 1.52095430328788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0232122930077427 0.0230652436972253 0.0041044678584827 0.00511475317404196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.526687421078941 0.526413717000591 0.40532478712672 1.52748377973524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0292491420877574 0.028958244478992 0.00858312586155898 0.00975686748842924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.529410563766726 0.529516413918942 0.405567604605982 1.53320924054527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0354616910923878 0.0349584535225185 0.0116135934433127 0.0129387123755117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.523334962854878 0.522609103683089 0.40389461749062 1.51944015851907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0225019702135765 0.0224242971343978 0.00310843336506334 0.00426482679729627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.524816581366356 0.524014774660823 0.403958263756583 1.52265206818215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.025494094394128 0.0247475650557298 0.00589815059395477 0.00614836984909233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.527220380653152 0.52674852351138 0.404652027042468 1.52843018501942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0309034798551342 0.0297874202270117 0.00981548415849488 0.0101032118326611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.536937640311005 0.538468623002507 0.40022689351721 1.55167624035675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0542237882612037 0.0536426679938232 0.0228694985028127 0.0253548677032532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.54577144699618 0.54980711204365 0.393954469929719 1.57267188858596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0805471094472067 0.0796639964607299 0.0405417324295132 0.0451585997641498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.66738960786838 0.63230409399641 0.745231828713107 2.26059963535958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.028322199283142 0.0240602684713339 0.00322389879129479 0.000578367757639131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.667593271775886 0.632928758184913 0.745447586984419 2.2637893165896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0291926092961167 0.0245761207365578 0.00452852780842342 0.00086184670053017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.668189238328063 0.633912186613383 0.745826506575427 2.26724385707114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0305655109210252 0.0259891594496312 0.00632594100259017 0.00167399163773187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.669440438440095 0.636553901958787 0.748639252444939 2.2764311766136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0344204567598688 0.0291908004917535 0.0114159198087355 0.00301046484658893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.677219287040355 0.650105593585645 0.750155718669998 2.31766138356996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.054554567893974 0.0515103553093531 0.0278514980142548 0.0133044405551844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.692420479640781 0.664526971185049 0.761964856571268 2.36609451253816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0809629847724712 0.0776725072756222 0.0495646911184434 0.027325200524271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.66835582360328 0.635503236290765 0.74508237550866 2.27113777467771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0327908134466966 0.0280039465109343 0.00870535775186879 0.0023263428866833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.671311815045543 0.641107749225906 0.745646543912055 2.28945457874937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0389305252873819 0.0354078998231468 0.0128855600130182 0.00574037305348203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.678409987826101 0.6513494337931 0.749699479024219 2.31737900093255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0571197584862329 0.05376896432135 0.0266796158252682 0.0136658418732985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.727813349426469 0.695810521055771 0.779292102470253 2.46309130794192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.150330255884223 0.146502896300633 0.133118708185804 0.0887505465116202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.785959480193534 0.739307154508903 0.84841971648404 2.63716645510037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.252272240388167 0.248508638881507 0.338877544707678 0.24983797345399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37479690679372 1.3216160524349 4.69351942047674 11.3695493937562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0591106723858791 0.0505938602698496 0.0153120170946921 0.00398378467069091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.37603252922683 1.32218890234711 4.6922536501787 11.3684079273181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0600533372233101 0.0535213774473983 0.01720500139007 0.0138751460403748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.378677626697 1.32399623338813 4.71001965291958 11.3855052445006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0619663604196267 0.0561979855905667 0.0216490177674139 0.0208821485432664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38154893247434 1.32673063258238 4.70802595961096 11.4011182137069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0666833215104019 0.0594186469617572 0.0327878609767659 0.024502562796292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.39844797959845 1.34152915761377 4.70743992431801 11.4765217526956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0877293211065434 0.0894475879040062 0.076662686283018 0.136055655881859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.41888905771963 1.35944295535433 4.7412123601173 11.5803604408777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.112911014530691 0.122743729342773 0.118967802449169 0.209591011227647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38010865863666 1.32542343625901 4.69370402845906 11.3912503433695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0655964337433098 0.0587225021061633 0.0323919497650419 0.0310276958732683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.38406247788389 1.33059330194846 4.68806629594076 11.4169632018815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0732868603053321 0.066635133290651 0.0492880987222051 0.0421375530152672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.39521346446666 1.34286417564953 4.6762220183266 11.4770975875941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0902847732382586 0.0916505982707769 0.0817266116478437 0.117107856256044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.45713872661947 1.39208847648588 4.62133137883181 11.6637269474064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.185876716630508 0.208774808571047 0.262765507017102 0.414826141916723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.52856017186706 1.43815703147915 4.605190599977 11.8230048476059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.286731868286514 0.332351982355246 0.488191759412355 0.80374030998412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.747346961076432 0.720628402772842 0.963301452183992 2.96722703389836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0202343575695198 0.0243159220597047 0.00236814947487695 0.000904459729089561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.74581193273689 0.720841718711442 0.960386934951929 2.96680495267534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217768778095501 0.0260032514027523 0.00358866094089506 0.00398608243701421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.745255444346184 0.72129078675777 0.958216291807096 2.96721317358952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0243460262643365 0.0279397136566062 0.00535793535129211 0.00598999246978606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.746053620502904 0.723074805561412 0.957600377009565 2.97190245856525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0285776802245302 0.0315617752964437 0.00663782642027741 0.00720631077924859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.751694511815904 0.73077663100869 0.949882277594334 2.99208319056552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0527024458442356 0.0550497441905578 0.0200104265585068 0.0187148944886934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.759324908017154 0.737023191096396 0.946471712252116 3.00553592160904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0807535503489426 0.0809523734578067 0.037926278295045 0.0328674398939538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.74737445095278 0.722683602513516 0.962452085242716 2.97200263313672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0274173599516571 0.0292942918569772 0.00746341507289778 0.00424101177355376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.748666026455907 0.726101512795646 0.957985368836216 2.98139369461291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0370251651128928 0.0368530027700561 0.0131269448217836 0.00719601910141449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.752980780656644 0.730837345747165 0.956924255498954 2.98908962682299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0581187723122197 0.0580361835013471 0.0238064545839648 0.0205089030040462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.787243760783149 0.748042578551827 0.972162347890663 3.02733750396477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.158866989463321 0.15016773625747 0.128670773327846 0.0912815592078642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.837012263945284 0.761758845980409 1.03490776899729 3.05817871088751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.270197714386655 0.253581200550127 0.367359264416339 0.242815070075608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.487775732412391 0.47485145344174 0.239493084769699 1.12283057206164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0186755380638064 0.0168709192233995 0.0023783064147052 0.000604155443508222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.487948372440574 0.475393750407663 0.239330519640376 1.12373427838875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0196166173667823 0.0175151708846683 0.0026066946973073 0.000758365148795689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.487616604186366 0.475805603766297 0.23924413337721 1.12367622916064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209421685354786 0.0186652238282129 0.00277803438881224 0.000847781700467104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.488584376402584 0.478223416419299 0.239377588436427 1.12931076018479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0245090602552398 0.0220609002755311 0.00329915665469538 0.00140326347083703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.496660358102962 0.485567016328615 0.239906179054756 1.14057444062245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0456887565966351 0.0430676092339154 0.00854860056747211 0.00547243638213153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.505827813424961 0.490581280032469 0.243570746510437 1.14316372697183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0725300873544197 0.0689696726374152 0.0207629478264325 0.0145092580086701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.487063742050879 0.476519080590919 0.238298330897991 1.12368449118705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0231883884965958 0.0206048162145213 0.00308195500454519 0.00151779742454268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.488583708427744 0.479261214068582 0.238597044637839 1.12771008393958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0304543860766874 0.0273632910243139 0.00446319617304049 0.00250745548280193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.495317171555508 0.485357338206941 0.239292875178555 1.13745435235102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0492178104369638 0.0454195384003799 0.0101579565975153 0.0065863853892679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.528831075034697 0.493130655208943 0.274031817843301 1.12392874607057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.14459602603227 0.133451984727439 0.0874319858297003 0.0598513776665673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.580923303517816 0.486823547938477 0.371898141466882 1.06817627636063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.251576278902804 0.233215426863503 0.296280529824072 0.193234973831465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01267363899124 0.971132083944491 1.57517959383075 5.221409208124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0355443729672726 0.0386781951088561 0.00487263077998565 0.00145971796586692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01351644246776 0.973211368034046 1.57648236036125 5.23816503189159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0380075163918848 0.0398136872965196 0.0102545793778058 0.00380905164554499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01490519933262 0.974914761037458 1.57670042304262 5.24750063150152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.039598296496702 0.0414230885904627 0.0148024481916439 0.00682780444757638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01724488217778 0.978242493778235 1.57806343539415 5.26335248022876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0440656444589326 0.0443764968390286 0.0223509098748857 0.00967480096829072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02060972218462 0.987614853964132 1.57896921543923 5.2841774054838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0657628827730216 0.0641448212474993 0.0452466532439932 0.0311353269239021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02911647053349 0.999456826729444 1.5835517601358 5.32710473110158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0932639410405283 0.09033739941177 0.0740580795369627 0.0615444451490585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01576711269474 0.977688948562877 1.57470706235805 5.26419119295505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0416475566512264 0.0438935372000095 0.0164938368592276 0.0123170091408929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.01760126957515 0.982880164243608 1.57338028793713 5.28818115909948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0493113222633558 0.0488708396411435 0.0274737698585424 0.0149876885594369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02032939603745 0.991637311359675 1.56693870482007 5.31312254629771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0702463514796868 0.0698953197892342 0.0510896607054439 0.044875051526175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.05639489838522 1.03554671244885 1.60434887473749 5.50821708108065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.165304194821658 0.165190717616935 0.178797873756543 0.159403314889962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.091794127107 1.07036015163027 1.66927847250009 5.65098902282371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.273334464407098 0.269108761756486 0.435098583729684 0.33700836563464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.92777646294215 0.88480149231303 2.25136886193755 5.2499862137867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0235748365630794 0.0289076622378413 0.00322283634418532 0.00142401679998812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.927852738116527 0.88553800673316 2.251557717009 5.2525573332894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0250819296621745 0.030551362660323 0.00450391665935581 0.00387904968366267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.928268031117623 0.886821649872012 2.25135784310214 5.2572787720326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.027375117449263 0.032386096322143 0.00635252418566777 0.00474763597419192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.929509350648362 0.889655949113094 2.24960556401678 5.26809608686052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0335966702995035 0.0377193751141342 0.0131058551348016 0.00821220277102476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.935358177000681 0.901154572616945 2.24111003143962 5.3131218122413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0612361211692292 0.064954375858746 0.0437577023273122 0.0383144784852984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.946669557277059 0.912464933704609 2.24805972310423 5.3591803531174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.088236998685056 0.0923367294075205 0.0708444552746755 0.0652984231293458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.927226626524578 0.888450872527736 2.2461818509906 5.26363430526289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0318626319125416 0.0364785754791235 0.0120180149506945 0.0108077051555327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.92939875091448 0.892831698162997 2.24373308057215 5.27996730790919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442117756552442 0.0468313461489113 0.0278261223195384 0.0212407459573464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.936887301930672 0.901729330001635 2.24155807757797 5.31449099871453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0664864440844626 0.0665819293657114 0.05273099832688 0.0427722373932334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.975012868215506 0.935242570079474 2.20143609155818 5.4548453956913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.163093639423666 0.162137423171046 0.178948185278726 0.15820543387294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02739394822509 0.965915670303405 2.21182979879031 5.59457139325813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.272588518267833 0.265760347220456 0.438073983839962 0.336650486921193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.703833478773226 0.667680195084637 0.812130480541078 2.5077218703813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0293824361586055 0.0275460564120991 0.00332712320836541 0.00064063797414659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.70570344573752 0.668521191521784 0.816369137785211 2.5106316893805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0306958629908381 0.0294673066141693 0.00566431070455077 0.00418881185808809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.706173452927663 0.669425226525997 0.818551605596857 2.51408024899693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0320772115072636 0.0302077564152377 0.0077693506555179 0.00467860592059559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.707087628585865 0.671613040956434 0.820844659283858 2.52192499473924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0352322704063146 0.0334765174309443 0.0114152944344144 0.00763560182306335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.716081083601385 0.68550159392217 0.827392095378009 2.56843461702308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0578777301426706 0.0535638361470925 0.0319487679409444 0.0215231452183243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.729378103003747 0.699963464829201 0.839185534415437 2.61999024198293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0862215593818713 0.0801227449201405 0.0594454652582013 0.0381570664097814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.705321331069214 0.670188939398665 0.814565740224725 2.51652391348619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.035503209000672 0.032040231159457 0.0138959882974243 0.00627475810730967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.707957879924141 0.674907563281054 0.817558632767491 2.53034928818047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0437665659713791 0.0400086634102251 0.0234559735071611 0.0139611985859555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.714197184732964 0.685108228516493 0.824045064580098 2.56057094900416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0623647697447683 0.0572766830784964 0.0382384292970726 0.0219195612410659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.762341490966853 0.733294689988161 0.859902503851655 2.73738983718011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.160747919308011 0.149796502519432 0.157020766936317 0.102159486903304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.815852404286513 0.778723917216635 0.925847924938371 2.92856606470891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.265521714839685 0.248319456481371 0.373632571141444 0.252784041902772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04000577818477 1.01206112104225 4.72118068541819 8.66579546080846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0449822811380421 0.0377761096385963 0.0091090905885643 0.00257716630709357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04202889945187 1.0124221101124 4.72486504347406 8.66499805689694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0464783030238333 0.0390612497122898 0.0166733913245224 0.00913838634845119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04329630068497 1.01310744780636 4.72587476993203 8.67032830281844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0482547987203788 0.0391262637176019 0.0255880397245802 0.0055926823130837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04396541738633 1.01417696188396 4.71844019300789 8.67001444656731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0521685437329779 0.0419360146470243 0.0356524152432838 0.00791661202465426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0577616612611 1.02693897092843 4.699087813979 8.71411320801297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0733661880322702 0.0617837612565342 0.0732224426535362 0.0304995387249215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.07415090376092 1.03880533730133 4.68228894922353 8.734558446406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0982301527060882 0.0863373222447 0.109461957727689 0.0519745552155713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04423369767236 1.01410573608599 4.71963278145871 8.67315705249474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0491895012167881 0.041033405647797 0.0218148999773828 0.00799456177359306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.04881315646004 1.01857675647724 4.7178265497933 8.69188663368259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0571383956651702 0.0476555869563799 0.0395345399263553 0.0124466002928016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06024354965514 1.02805905100272 4.70076230909424 8.69209449560946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0746101139237749 0.0674030668632712 0.0607672201428513 0.044431272061019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.12737919707881 1.06848104584202 4.63190670150903 8.79118271469075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.170468668702983 0.158446364475438 0.19917109861692 0.148778805860406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21396261521826 1.1100434669523 4.59667397540077 8.94109471687521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.2742416345736 0.26421279055652 0.397718445480803 0.336197863604577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.44682309814911 0.41727800448267 0.632076028644474 1.27981110579925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0242578657340009 0.0133390209748294 0.00262145407699366 0.000404263654646473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.447499084539208 0.418168849085504 0.631725037975425 1.28136277490633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.025272100079958 0.0147208563737833 0.00375477730067358 0.000877642633041733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.448923888825284 0.420082979728809 0.633490629533462 1.28494225921846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0270661054606345 0.0171668224906243 0.00570900901788445 0.00214760724173905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.45140458560983 0.424106557923566 0.635530834460233 1.29228365073872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0305402192433826 0.0223263158863546 0.00829794675103732 0.00353227661137944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.464819378515165 0.440408155266649 0.640445746433357 1.32296632432868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0524872710429345 0.0478593475342564 0.0254081021758998 0.0144914198148685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.48415011817881 0.456665593304526 0.647511380287074 1.35620012881487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0791621163323829 0.0753235386849309 0.0456978054260871 0.0289962365044422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.449700092145861 0.422209342221604 0.633701397712719 1.28844505799101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0298098200794651 0.0206433226390915 0.0081010087456584 0.00378627017834253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.454256237830722 0.428627856770733 0.638137518745144 1.29988494989178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0370615161979322 0.0299018929272827 0.0142898923916996 0.00680241357559082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.466783198560616 0.441295497780732 0.645239797666856 1.32334802682849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0556062029890562 0.0505333151363171 0.0274174707934619 0.0153872760762114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.533759905882395 0.492141184025351 0.681597903460111 1.43431744624427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.142545600674299 0.140527243213668 0.104999251319127 0.0831299721448684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.606753737610476 0.53971210250401 0.74523371318855 1.55920570655554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.228973682633451 0.235780969146513 0.232849503607044 0.219052516107165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.45121678696887 0.435274761290322 0.346769847684202 1.07780330527074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0147793597633077 0.0136077973077834 0.000820668748407249 0.000161915014849309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.45160819587192 0.435744971052198 0.346988334580216 1.07884902343755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0156591220964778 0.0142000655968643 0.00168322203480743 0.000498245355019914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.452123238126643 0.43672217855088 0.347251190194247 1.08098340921259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0166264022271713 0.0152900265351503 0.00203803011125699 0.000940639595215034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453436948876157 0.439333539737945 0.347778178941249 1.08597350053631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0207280120065596 0.0187963320934562 0.00421931950188931 0.00173979909513716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.462669976587873 0.451156966773627 0.350254589358511 1.10840489844202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0434064516632176 0.0406074750097325 0.0134407984883169 0.00687620864194414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.477417150382447 0.464866459361667 0.358398631789564 1.13875684047583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0691108487167397 0.0660368438331072 0.0258728170662181 0.0169060651441347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.453499836818187 0.438716966563933 0.347412816782959 1.08595250831829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0188588710413613 0.0170939355329052 0.00321536564175676 0.00113209852868066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.45695761096763 0.443827835845795 0.347860262699101 1.09688006585991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.026404006556818 0.0246482175651763 0.00553899528637352 0.00261494527240609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.467588980719686 0.454956488386777 0.350914792010643 1.12068641312694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0459719358630903 0.0433614119099099 0.0132372109166285 0.00732859897198044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.517945259754993 0.497573125908572 0.387914923071915 1.22240815132545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.133565987758021 0.128068707394249 0.0825958996964192 0.0562088063384496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.580032162784039 0.538580584596055 0.467864303867655 1.34206364174416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.225047315057783 0.217279088992299 0.23382959561737 0.158006510234463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.766089793171067 0.78167323598731 0.365561759236826 3.15247549842655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.278061143760744 0.276353110416552 0.151599651103623 0.43821396728156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.766764517485044 0.782344483585589 0.36570135369349 3.15707581743006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.27803506094533 0.276338666060364 0.151610909160179 0.438169512032584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.766786082528889 0.782364301618663 0.365693135586652 3.15719243807732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.278000482452657 0.276341470549925 0.151594283135996 0.438140359637603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.766147464119303 0.781724934191511 0.365441776452129 3.15268492562309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.277992966752718 0.276329620304288 0.151624058416745 0.438092580962958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.766342299775025 0.782400976446949 0.365433737790308 3.15631718093235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.279657920535485 0.276410484019181 0.156358281806518 0.438270125414229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767114271201937 0.78298384008833 0.367855910701299 3.16008668609979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.279899989405372 0.276769337127652 0.156487375003485 0.438944326645978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.766736489730209 0.782366021164372 0.365553962429646 3.1572252003267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.278120855086349 0.2763488169216 0.151637994181164 0.438202741697428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.76717221959722 0.782868531326837 0.365414857645301 3.16017471202528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.278109804628567 0.276374185255633 0.151684261336805 0.438300350989348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767625659814903 0.78348187287629 0.36503661730091 3.16364717248581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.278311757574245 0.276580532455062 0.151811264412729 0.438763048621876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767651613219921 0.783663543396503 0.359778952528637 3.16207612572545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.281199616178469 0.27873624935207 0.155424849827277 0.444068242618071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.767395876804485 0.783756652826176 0.350358358689298 3.15614508617304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.285177554280679 0.282811753898652 0.157908064098072 0.454527086260871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814585089177002 0.661061269452286 1.01351375562082 2.71745528166253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327777088740216 0.255752357515712 0.757392871895376 0.392043910634176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814573645174253 0.661031651467124 1.01351656955411 2.71731003906706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327768981218237 0.25573168793301 0.757366763892852 0.392032831463987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814557386293819 0.661001783716802 1.01350784252755 2.71716013710336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327768189771608 0.255685579267106 0.757349998326144 0.391994783139181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814510251479132 0.660941507753611 1.01345347188256 2.71684267515802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327766423205015 0.25569055368174 0.757317906466799 0.392017798688549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814808722062101 0.661604651193238 1.01222778759064 2.7197595327837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327759717451678 0.255722829707389 0.757273128463231 0.392222040312634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814134928337427 0.661438334556205 1.01092983764595 2.71826349446263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327856792393242 0.25580268419266 0.757432312387658 0.392719892153918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814460371005318 0.661132056418201 1.01333115215357 2.71772703466753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327611716939693 0.255839505644058 0.757198044095355 0.392148179934026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814294003050966 0.661204147248679 1.01308107514934 2.71795643815469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327454694869506 0.255958881926288 0.757018683076987 0.392309325006757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.814344088936782 0.661676705731897 1.01192049314222 2.7192398152027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327154059811805 0.256419217130169 0.756142345709918 0.39259160162523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.812751568260471 0.664172900648409 1.0067556388735 2.7280727368698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.32681574503214 0.257881474025674 0.756735977788703 0.39621703091812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.809571261770471 0.666397073870649 1.01093983082751 2.73212392702088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.327059134722952 0.259935046145992 0.759480907532418 0.402607416118823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.752769906229039 0.779476521053756 0.374508709201304 3.22691633041491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.254705200226432 0.262167476412782 0.143473104897575 0.385635549051749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.752701672336699 0.779419667565345 0.374580254926482 3.22663991964743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.254729583211135 0.262184975208784 0.143473786084217 0.385680973715157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.75272888072152 0.779472714792535 0.374489798465455 3.22688204928841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.254753846069545 0.262227965662027 0.143466605797835 0.385771342053687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.752727125289264 0.779515037652783 0.374391434582993 3.22703993121822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.254762573060964 0.262306756104037 0.143490731583251 0.385954032411974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.753319436686523 0.780333658632051 0.37405022804172 3.23139583279261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.25506930307257 0.262649200722007 0.143599149148282 0.386812150663888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.754373396318445 0.781675456097635 0.373658761975767 3.23899255210368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.255486108388874 0.263283673487084 0.143898081093339 0.388317649408801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.752829935728115 0.779600742986132 0.374536326664001 3.22750184133729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.254747689655192 0.262221748541766 0.14348777096099 0.385727717294902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.753205884525148 0.780053226124343 0.374278295461497 3.22986239595736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.254866847443113 0.262336587709852 0.143516300714114 0.385948684689955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.753652597841162 0.780677897877835 0.374838463224087 3.23332953066213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.255200120269684 0.262576313568714 0.143661499851245 0.386485039002092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.752899992856704 0.781050232025898 0.3719640058038 3.22918881881734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.257934510163138 0.265483651763876 0.145349009707049 0.392895863069865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.75271336819745 0.782582716275342 0.366256815434645 3.22706495915308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.263028950571086 0.270881539222129 0.14878982892995 0.405351567177196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395044227543549 0.385102849325251 0.182393035651287 0.785986052467382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0443171256579246 0.0460312776587585 0.00584126775442541 0.00969569607148929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395049492883074 0.385104644575246 0.182395161986543 0.785972841206028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0443123610845456 0.0460413933621136 0.00584120229195462 0.00969584718827329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395053747492875 0.385106775222325 0.182393180658911 0.785958963103935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044315571533597 0.046051437168239 0.00584043945501778 0.00969633861247486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395408587334047 0.385512100431514 0.182337459044725 0.787148896737488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0443159873347905 0.0460746031766585 0.00583826806295791 0.00969755178189279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395405069983468 0.385729496156011 0.181951285143936 0.787291762680968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0443371877651915 0.0462455893852494 0.00584295417805143 0.00973372508676068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395864567320455 0.386491387104575 0.181352952423578 0.789049990537962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0444813086518431 0.0465090466742317 0.00586712262564995 0.00980416459825588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395706399157515 0.385898854096943 0.182262157128545 0.7883718147807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442517669329252 0.0459771953139784 0.00583496506006618 0.00967382549530849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395662486633241 0.38593670034945 0.182215088009861 0.788466850715826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0442044220456529 0.0459399631582471 0.00583043044324676 0.00965810903550266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.395294784485452 0.385906586174864 0.182077532385596 0.788338275372185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0441691197109141 0.0459314230397791 0.0058331350817833 0.00965127664696419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.39453418751799 0.387314892745644 0.179352554501108 0.79118505431117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0451565238418848 0.0465917908005725 0.00601996655066665 0.00988374334826949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.390786912692498 0.387148924455761 0.174171339161005 0.787608875060811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.047834968209497 0.0484476006174956 0.00647709399934092 0.0105630856693307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.737212564954589 0.743185964797755 0.886053470531702 3.19655973581412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0892177497221024 0.0867133509441069 0.0457627221997489 0.04729211614277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.737246608910253 0.743163343058975 0.886065469683002 3.19652333717191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0892217101634962 0.0867273747374374 0.0457665748701687 0.0472927850481099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.737278990782178 0.743142009913484 0.886064224049406 3.19648110448542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0892320085434767 0.0867828399721591 0.0457723137099592 0.0472970081629875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.737342528145504 0.743107342039869 0.886022396724516 3.19638678858288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0892906739040617 0.0868361400553585 0.0457972274194296 0.0473084271212635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.7375399097654 0.742960553832136 0.885323547925609 3.1955777667804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0894924921343421 0.0872272325869413 0.0458722636258596 0.0474313522241053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.736153791618166 0.741463468421043 0.883732266976527 3.18576446729337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0899507188211643 0.0877136669932017 0.0460187878096019 0.0476454427101549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.737173245332113 0.743127794053452 0.886011849401924 3.19630520305755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0892494352713235 0.0865026492871457 0.0457708869973459 0.0471800366213872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.736050226984743 0.741998308813434 0.886192672717513 3.18995804764104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0893157270741461 0.0863332489059604 0.045791133785202 0.0470908119869674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.735917125349484 0.741901016177463 0.88518875739712 3.1888153435252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.089528703036112 0.0860860145377527 0.0458528052776701 0.0469739626913209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.740758138003829 0.747603366651483 0.876821965968828 3.21936894214083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0914814904458321 0.0864371085458602 0.0464649745310234 0.0473320106537432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.743886588503778 0.751182522265393 0.855802085300646 3.22593101570493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0943782506130351 0.0887467329865838 0.0475282832966503 0.0489909904150977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49331582763222 1.37498056092352 2.58262839651028 11.6099435063854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.656201968609792 0.674020287917783 1.97181909671995 2.69534431069993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.4933110247014 1.37499789135328 2.58264618795544 11.6101734351847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.656554200462243 0.674048095177465 1.97014882158765 2.69506450664974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49293041829304 1.37456667374702 2.58179331563162 11.6045964658359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.656980841947985 0.674260986765291 1.97075151457919 2.69513497888101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49323410752385 1.37477654237833 2.58124094354845 11.6070174456935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.657690735983757 0.674288421023192 1.97419716952416 2.69450455213969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49323677637244 1.37479763194753 2.58086616500536 11.6083024808434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.658414287347165 0.674229524368354 1.97849821289992 2.69647915308552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49389465003032 1.37403493124451 2.58337217557257 11.597102398274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.660956314020402 0.674350885999305 1.99161619295655 2.69897261438401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49212444253829 1.37374657885324 2.58172401064513 11.5931818591397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.656340773984032 0.673393312205481 1.97120992317065 2.69257440400837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.492267726254 1.37393791046469 2.58234201955034 11.5961909542072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.656168715581051 0.673011793923944 1.97138451172334 2.69153496124105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49299643333941 1.37512689065241 2.58064308489352 11.6096894802527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.656182675361296 0.673983009132287 1.96985367017455 2.694721707048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.49105977656103 1.37378648734128 2.60290147340291 11.5893727146693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.660618377818796 0.678103780018104 2.01766495616191 2.71401719722163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.48654566406759 1.37329755510153 2.58819801417305 11.5716295720324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.660350508803567 0.678341484989347 1.97113837257305 2.73755496849148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139031305167483 0.140284739672411 0.0311945371191513 0.111785230123462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00767180315811012 0.00764977853629595 0.000105985077988446 0.000280470264482538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.13901064441126 0.140280019374488 0.0311914242160196 0.111781229376873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00763517524972219 0.007647387214137 0.000105876264426239 0.000281325522492785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.138998383296297 0.140279457832704 0.0311869278263273 0.111779472220108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00760700196919596 0.00766567493585087 0.000105202147985233 0.000283010409013382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139101209133597 0.140395587751017 0.0312481492552001 0.111961152270083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00762890621000939 0.00770429500203693 0.000105955394195775 0.000287496604411141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139237639769458 0.140794132640349 0.031189001118372 0.112169584349706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00819715226422784 0.00845892032857976 0.000119002964798475 0.00032861636493518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139870214544308 0.141871216526246 0.0311171543456868 0.112967939879479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00920678254351431 0.00973079378573885 0.000149351164745215 0.000399176779179776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139050431183144 0.140290106264905 0.0312429792485325 0.11177071524557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0078026589398657 0.00770672164122444 0.000106520558885124 0.00028104763068154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139718131429374 0.140982716043065 0.0314168118390857 0.112610954667679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00801443892655336 0.00778128776152839 0.000109925370351803 0.000283911510833631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139041094773382 0.140443140916286 0.0314215312368589 0.111761199317181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00869182911577764 0.00820353351524045 0.000125162605639481 0.000303129754041532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.138467782595689 0.141259058967749 0.0311655196187836 0.111108197655771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0125227059393093 0.0116493248601094 0.000293411527240159 0.000510515900321894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.139319473391996 0.143962387101678 0.030735870616792 0.112388844707939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0173704160177799 0.0162050773519095 0.00064591720047127 0.000889535168426678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21518831434039 1.17686449255312 2.09780613664097 8.02656686954747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.459022284155622 0.443626558861268 1.16259792033011 1.42137568158804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21518928657656 1.17686877970866 2.09776488670174 8.02672683160155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.459033650773892 0.443633689998315 1.16261613714967 1.4214196923918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21469390987942 1.17631200398764 2.09843833881675 8.0221675438525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.459074146498963 0.443637375532471 1.16263110342392 1.42145939818123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2147001022349 1.17635061848502 2.09826899268452 8.02271954480327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.458684107391852 0.443430443864873 1.16253350297555 1.421416909413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21467613359735 1.17638554741424 2.09716037518192 8.0232107162504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.458849389971748 0.4433481648871 1.16299194624427 1.41774223262964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21358170463814 1.17515919238553 2.08584486785145 8.00519163789161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.459893165358621 0.443790463619437 1.16426500541179 1.41389711581363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21525647948502 1.17699622069812 2.098131921122 8.02809464862744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.460300275135461 0.443098814800563 1.16429850684937 1.41788977216479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21594074355072 1.17866546739605 2.09716402658017 8.04599645235763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.460767222425427 0.44308897642296 1.16384427999452 1.4184309528643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21611879975352 1.17900625301515 2.09948232868874 8.05549662106428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.462192504190013 0.443336659777295 1.16886204924977 1.4186303536494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21657588113476 1.17962391630587 2.09736023766434 8.0604676172984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.46555633141604 0.445859585697583 1.18362669490895 1.4305280263656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21150098621077 1.17437940786591 2.09809226932886 7.99608965112313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.46863429254018 0.449873128857811 1.19245695435217 1.4585818765879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30474863458082 1.26207520757769 1.47934888364488 8.92725971000434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.429382794034887 0.453877455096155 0.763318783444798 1.10492404520164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30473912246265 1.26206149657979 1.47927535558983 8.92706461110003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.429387057378322 0.453854276388925 0.763316461997579 1.10496313056192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30472228178135 1.26204361277008 1.47918546537612 8.92682321678286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.429347282710947 0.453869064093699 0.76323541492628 1.10496244544165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30574376973696 1.26307786837858 1.48066644606514 8.93571172504556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.429116051329903 0.453810726844365 0.762783380473047 1.10444545404783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30521692239854 1.26281558992605 1.47861952313506 8.93191680529702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.428790675462485 0.454133803741748 0.761947388877387 1.10506418107703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30262642632174 1.26100951042502 1.47601347153934 8.91096508650172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.428632292546587 0.45423736067176 0.761541685711105 1.1058987027698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30480405716654 1.26204631326222 1.47791784405651 8.92573495662906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.42902149926209 0.453882682511582 0.762417535666432 1.10432097901345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30481487016208 1.26207001752536 1.47715227772489 8.92583335610103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.429065031591042 0.453912256804609 0.762581700626316 1.10445974463615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30490686389177 1.26285462340908 1.47750588731105 8.93255426882874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.429133530089276 0.453670344206945 0.762826683835998 1.10433574184383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.30129791304335 1.26155572340762 1.4599146465806 8.91443182894397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.430309725393527 0.454690271132251 0.764816268530173 1.11264575936011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.29426226147449 1.25887095252651 1.4259311652199 8.87181385755743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.432554238208489 0.45846697055573 0.768685706788584 1.13590798009014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145590998610419 0.146004239769979 0.0194306360436031 0.107691639395431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0203082213980644 0.0193063922838032 0.00104329783881481 0.00242488309291432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145583418291902 0.146015655238941 0.0194330544469531 0.107700198315936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0203136035259434 0.0193190101957149 0.00104419481307088 0.00242615327377083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145506825388503 0.145956344809797 0.019441906248213 0.107629303713194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0203298626237849 0.0193383444808304 0.0010452818014543 0.00242812351086819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145759571497177 0.146251913715172 0.0194674226387679 0.107975778204244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0203973550614026 0.0194015677249007 0.00104843206352539 0.00243460578114574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145722413107105 0.146409224527679 0.0194980201736145 0.10803057434401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0209595001999677 0.0198531603660395 0.00106980175944157 0.00248397284700511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145758037315293 0.146623678990542 0.0195116954148887 0.108067989913465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0217929653887611 0.0205358057678392 0.00110611292511527 0.00256355817495183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145472467210367 0.14590917127605 0.0194386475793011 0.107585747072403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0204045635274248 0.0193491387963382 0.0010450363953754 0.00242775393306646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14556990907032 0.146073279919318 0.0194434360620994 0.107742029240057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0205828687433598 0.0195029584256152 0.00104916650938835 0.00244129953120768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.145739486264928 0.146452357243673 0.0194611369042314 0.108052421557673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0210620814117169 0.0199803056725449 0.00106456591085933 0.00248892924973248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14642835769123 0.147798642378026 0.01932737556515 0.108732249254418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0239255666618636 0.0229665715291614 0.00121978439001018 0.00286891371945077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.14733327501728 0.148957419229782 0.0192487578958947 0.109085795126674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0278228425770922 0.0270414621215834 0.00152667847210796 0.00351564527432325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.896720811590154 0.886509295305921 0.930976958648667 4.10188792039028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0472347797234216 0.0501196166815608 0.0130789193824581 0.0144857005844757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.897027248251676 0.886794492039013 0.930882002808218 4.10373767361759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0472640401036347 0.0501654574927783 0.0130920368271793 0.014494896542483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.897126050949627 0.886894196096065 0.930728848609175 4.1041768660149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0473229646791999 0.0502359257434507 0.0131110602355717 0.0145104604330746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.897160400169232 0.886956411635439 0.930542391937532 4.10412940662221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0474806829157148 0.0504014795376219 0.0131601808678768 0.0145487645368124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.898411710472595 0.888709171333063 0.929339885306084 4.11329986057211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0489553265971076 0.0516765308560641 0.0134852444654866 0.0148811560205874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.898751239381987 0.889733776253431 0.927023672435472 4.11569699112554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0516544844368413 0.0537159815325716 0.0140252400319155 0.0154575609605196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.896288391886639 0.886235010867916 0.930564449717673 4.09941858269148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0473728040641306 0.0501885054984377 0.0131008797049319 0.0144960585768856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.895702496311043 0.885925513726097 0.93018140892655 4.09643126088333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0476820878739316 0.0504282758387891 0.0131540144804368 0.0145527906626661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.896123869270081 0.887147935199409 0.929052164869261 4.10257744511694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0489920686389763 0.0514063260745182 0.0133680121354414 0.0148031994706596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.896331868186605 0.890801052918314 0.916726042494131 4.1097784364853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0601042992035107 0.0605201314038344 0.0155292349423444 0.0175410947759877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.896264978542042 0.894347261496915 0.892806093592864 4.10983425791472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0747169167242605 0.0737557465563135 0.019395107215469 0.0226943220324396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.804924900970223 0.749852661032798 1.23139632997223 3.48247214563611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0670250673383443 0.0511057854368919 0.0465436170061073 0.0203617100594509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805054764722851 0.749984929359315 1.23131171825458 3.48322374845445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0670083873722801 0.0510907505490125 0.0465319607775535 0.0203548155484483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805153542471214 0.750121592708096 1.23123047813033 3.4839350157019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0670247657585883 0.0511003352804976 0.0465322874598117 0.0203528934809322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805263426171982 0.750408024237102 1.23100379192325 3.48518100510574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0671648099345414 0.0512354605427892 0.0465521288296558 0.0203615850137756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805671339076769 0.75204694682619 1.2293932367167 3.49113951893752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0686468658230652 0.0526984286940788 0.0468454652347909 0.0205705673932509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.806217085807642 0.754177654604738 1.22592054495199 3.49768167713321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.071398258121975 0.0550516810751443 0.0474477843090213 0.0209980211109074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805555892219391 0.750613045636043 1.2311414061969 3.48621550391884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.067206703048543 0.0511975505362469 0.0465923740949925 0.020364309869698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805491814237738 0.750992436530464 1.23087560414139 3.4870377422332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0676061260263339 0.0515931789621994 0.0466971389809031 0.0204169188245431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.805661014388709 0.752224463443239 1.22957401441056 3.49048323520495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0692646607924559 0.0528805007424889 0.04710489259798 0.0206306945461846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.807119938961742 0.758412662150405 1.21280669569664 3.50416059991859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0814556304807123 0.0620416350048932 0.050619048733395 0.0228437930193467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.804741788266805 0.761210186098907 1.18059402464743 3.49325117547259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0959240072119355 0.0737365938829043 0.056102296507863 0.0269417052376414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06131257972803 1.05238992880816 3.22433536282643 7.77740107109586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374628372243582 0.045771018589726 0.00712983381338658 0.0210095742948383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06240059609604 1.05354049837955 3.22631454815135 7.78862042168872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0374916877629856 0.0458145126385234 0.00713253048188639 0.0210020701846846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0625643854402 1.05377408934812 3.22581424549588 7.78972499776113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0375993871531648 0.0458747556352459 0.00715248307226885 0.0209960980739006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06393163805346 1.05541063763416 3.22981232529996 7.80585302635001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0378331699375091 0.0461471697642373 0.00718446011649825 0.0210131684440406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06550103010747 1.05824253275376 3.23262026690843 7.8254836887356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0399699104424688 0.0484788280513526 0.00751819816593408 0.0212974580692237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06740018973337 1.06151137116882 3.23070531068725 7.84461142354118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0430456197964794 0.0518661373687151 0.00805987364999686 0.0218670267414732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06163643908406 1.05300644840663 3.2237535795744 7.78087002920507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0376084469505878 0.0461857656751045 0.00713157586818031 0.0210769648663651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06187155589387 1.05369313052341 3.22018435816913 7.78145943128227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0381187147228154 0.0468982944714466 0.0071764738025802 0.0211998905264767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06365644167252 1.05648657388915 3.2164533618259 7.79661473493664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.040022823637152 0.049099309025808 0.00740929215125967 0.0216040401830425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06141155544842 1.05834937535464 3.17368274409051 7.75588312961522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0516728299322831 0.0619761309577924 0.0096232750957989 0.0249511381008758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.06036943609716 1.06067894588397 3.09363428948688 7.69867732442419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0655502547050352 0.0763568208772212 0.0133021296655619 0.0307727509400736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03235989846767 1.02903255908016 1.05782397234015 5.35712977245666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302648549074988 0.0484124620335192 0.00321497506356968 0.0095941284847241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03219770639923 1.02892742906956 1.05778969346903 5.35618817304893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302666773725399 0.0484412584161969 0.00322036683234711 0.00960465811008237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03174565613564 1.02856624214236 1.05806573602249 5.35336767712083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302332253001683 0.0485111509902262 0.00321833978269215 0.0096253531796133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03226698975151 1.02930300890477 1.05748641334065 5.35867898513383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0302795226298718 0.0486768843903281 0.00323100584785891 0.00967272434554157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03137796930069 1.02983087809158 1.05593589549206 5.35951705522539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314318583760741 0.0498954293797465 0.00339447560111672 0.0100269446884115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03136789372044 1.03172947460981 1.05290276019924 5.36917265467744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0339033184571889 0.0521202034644527 0.00375221326017666 0.0106612611794961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03255606288097 1.02916082794569 1.05777069856988 5.35820443283181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0303908619827922 0.0485057926112077 0.00324417433351662 0.00962563519949191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03257856512583 1.02932751380576 1.05679467937012 5.35819883429233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0308153451124564 0.0488426492513343 0.00331143536140431 0.00970909207522402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.03128897833874 1.0286587893093 1.05600514318308 5.35009184358652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0322297687046373 0.0500348718275539 0.00352024324304178 0.0100156302825165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.02902037144663 1.03184930876459 1.04208261687847 5.35328447164125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0438120276704845 0.0595445205884706 0.00556886847235669 0.0128894357204021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.0246549239103 1.0360042491503 1.01372914664894 5.35509650784121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0589881392865999 0.073383143397947 0.00932088204879166 0.0183053476093237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.87197450833308 1.81736306984426 3.9703284093104 17.8244852956202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.14406572801693 0.214779468528182 0.173913939553077 0.22573793762737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.87212754430584 1.81748620200054 3.96996600666438 17.8261248544791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144036634946782 0.214772239822483 0.173871160480217 0.225740556667119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.87224256566115 1.81758075035122 3.96955781558917 17.8273405039016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144088637434507 0.214795152633795 0.173913120978263 0.225780850948923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.87212201619822 1.81743204530172 3.96887865192289 17.8246996086636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144141604802908 0.214788407072713 0.173938733926208 0.22582156360419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.87204966499323 1.81751261177334 3.96787655902816 17.8270082226942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144795681805669 0.215165409936582 0.17424549137375 0.226493845362864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86970965978458 1.81594358900227 3.94785614508335 17.7873938614213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.146503703279828 0.215945670287148 0.175137609780876 0.227666206617964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.8715018390836 1.8169129125308 3.96523812973783 17.8127263892894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144117544344054 0.214669852869908 0.173899026581835 0.225623156730981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.87154773672414 1.81706669695727 3.96253728774078 17.8131392657782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.144290416687297 0.214711245089322 0.173992842148281 0.22562988129524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.87163791573363 1.8177680780435 3.9691775414297 17.8294945435189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.145076255122525 0.215627508637313 0.174402594338086 0.234696848223181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.86322217890865 1.81514823526711 3.91864103695159 17.7543609418575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.152742943717047 0.218986135812271 0.178696622606311 0.23971620716465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.84621667316589 1.8074973634168 3.81733517674759 17.5791351395362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.164193936888987 0.223870760920193 0.197013099132979 0.245644428292158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.576989490408262 0.581891840840746 0.389455374160788 1.77045437303783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0163296132596639 0.0236015264537414 0.000798333828528228 0.00301444201012681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.577009327621656 0.581905848476447 0.389457347325973 1.7704848360282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0163644910183598 0.0236157568331346 0.000799993388764671 0.00301617214555471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.576804641802676 0.581704463753809 0.389423109432073 1.76942777287368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0164540239134943 0.0236660242247874 0.000804080835754697 0.00302272636116159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.576815226822784 0.581742168169949 0.389319184969859 1.76915896787503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0168058867108256 0.0239113793804438 0.000819309916512259 0.0030520161320825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578858024153974 0.583936464879606 0.388946620811518 1.77647446496717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0196757534009978 0.0262135474978948 0.000976859490637625 0.00335283991409438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.580500717794555 0.585870647443683 0.388481527580273 1.7816657674724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0237598626772046 0.0295699327760725 0.00129121765699921 0.00386720639456473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.57683281862852 0.581772774708281 0.389344474714479 1.76943263131315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0167256678688807 0.0237967094533421 0.000810768569055275 0.00303868626365583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.576947647796271 0.581971314813818 0.38922747565335 1.76940801338797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0176051892778076 0.0244355902753175 0.000848582846542044 0.00311806067599549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.578170463302434 0.583417691924096 0.38895178987735 1.7734959631893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0202128435331091 0.0266261041199589 0.000999479648030758 0.00341761056275932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.582765660431202 0.58974524435544 0.385295948503521 1.78752387252228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0351345141877606 0.0400132199686185 0.00264351945233237 0.00597570411061982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.58548535104806 0.595560748647836 0.378419308542445 1.79713396208164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0519083208421898 0.0561104548609532 0.00594982131462641 0.0108954798052757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311061712091895 0.300297212247481 0.175287975916718 0.524720976439235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113926140849032 0.0111037248834095 0.000561069857804266 0.000626757778592722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311120007252541 0.300420934197698 0.175295167849244 0.525006998727456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0113849768223227 0.011133360086666 0.000560170164267515 0.000629209732712625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311266016002837 0.300657386811399 0.175286276784129 0.525510165806518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0114452496593862 0.0111819209872323 0.000563755649109307 0.000633342740197208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311646579219966 0.30130862239791 0.175223648966176 0.526755161807719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0117467992203615 0.0114506361773682 0.000582305428169237 0.000647779819426163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.313708616173022 0.304936056149943 0.175280991644503 0.533251134995184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.014120206726712 0.0143110043604625 0.000753416864728371 0.000809877867831099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.315422262179044 0.307999912774922 0.17495755563688 0.537450524022862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178324482634002 0.0186150354888832 0.00108708715746122 0.00112674560513576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311029651011573 0.300380595699016 0.175267644198506 0.524666253693976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0115517758328334 0.0112739369351772 0.000572796722656537 0.000638043257740657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.311051937090023 0.300739531001812 0.175267699552655 0.524892405968312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0121471107713728 0.0119742667364021 0.000615458705873136 0.000672524549095423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.312227822181631 0.302778159831972 0.175202598632496 0.52780959165385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0144033714707447 0.0144707103464235 0.000787275730074093 0.000815952957680284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.317300071800388 0.310159836969031 0.173739271279565 0.534630524400757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0284385670055934 0.0296984034319828 0.00246481374708795 0.00236720945217042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.325084946023511 0.318427906448321 0.17132149350535 0.543366247485017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.044275691421207 0.0463226770605897 0.00555832955514027 0.00539152933968765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.281759013959831 0.275021644741435 0.203516680670304 0.493540134875757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128298675538593 0.00966787363781003 0.00122020437034532 0.000774930442783387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.282545938784462 0.27586042980538 0.205314555076753 0.497266943266906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0128946463922695 0.00969752329612055 0.00122493038741425 0.0007758748934237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.282286890814329 0.275664059532521 0.20535345885376 0.496833309370186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0129830191037967 0.00975056194874711 0.0012334458361223 0.00077849414512279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.282443512814159 0.276077980445397 0.205254542527811 0.497342800147952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0132863199849994 0.0101066803443437 0.00125921632568385 0.000790412047298244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.284578005668789 0.279602788791239 0.205952046176619 0.503249973500001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0161251811165557 0.0134239768088581 0.00153136210446855 0.000936011026886867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.28880237461708 0.284443624900151 0.208551215482112 0.513075443093574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0206567456283263 0.0185437724129436 0.00203935521579036 0.00126714098280173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.281798930602025 0.275394504220851 0.205075426047279 0.495612320650235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0130446879146539 0.0100260951250783 0.00123664703992624 0.000787210780371162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.282047975336531 0.276389728477176 0.206705145026114 0.498485313853887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0136651516963073 0.0110215221056687 0.00128774164075507 0.000822226736947254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.283154694371313 0.278742814283175 0.206756574412221 0.500857081055599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.015940624784098 0.0142244063130674 0.00150015740238595 0.000969616248246023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.294548298130302 0.290688703451861 0.209000154772005 0.516548698233727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314265397577268 0.032038477521821 0.00361162162244306 0.00276083162343305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.312339728709387 0.305387873812719 0.214160830855024 0.541982743376591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0487548424400406 0.0508434066621981 0.00737987130407339 0.00643585154718918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7824408440358 1.73540357867028 4.68374988183027 17.2552383670252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.228758661761172 0.210214165691882 0.411370270575026 0.317430920461563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78242510512718 1.73537194966691 4.68387817796 17.2551233042521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.228797826315899 0.210221583182147 0.411413173973614 0.317415167064819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7822710477509 1.73527321642529 4.683879193925 17.2536289860799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.228807438492531 0.210230530380625 0.411424992707078 0.317417512957917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78253091623517 1.73553970982519 4.68311774723674 17.2568267645313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.228851523714821 0.210257095955691 0.411467560622165 0.317434821354561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.7812964830759 1.73464231579748 4.68582797265832 17.2468679959052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.229421676787568 0.211096612015454 0.412166373125408 0.320712889439051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77955629150247 1.73297879600795 4.67849514395922 17.2180734073605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.230266900796815 0.211431014267986 0.41308469717801 0.318925600960561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78150490135653 1.73433962935518 4.67916369868425 17.237018804907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.228876812402762 0.210259875636957 0.411539750853535 0.317518452850246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78105468738157 1.73378489866259 4.67696631213622 17.2275021957363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.229006323204135 0.21036827072605 0.411717849881919 0.317736170229023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.78136423132983 1.73425305458206 4.6769934592266 17.235310434017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.229515164784876 0.211073149897999 0.412373755615845 0.319867854514343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77802838548937 1.73305435593931 4.63401237628882 17.1910261458566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.233909666981202 0.216345903111074 0.417675662026862 0.328418491165862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76550086821206 1.72377488359158 4.5462440338261 17.0101269272009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.240692132529283 0.224219230433354 0.426073789025871 0.341789607324743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0902991366265007 0.0873085651923262 0.0253323102774418 0.0542622336629466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00460871932551505 0.00391518298768005 8.92244000941627E-05 4.32291434576369E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0905511755376197 0.0875991268547959 0.0253920899947787 0.0545043660213506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00468636644003629 0.00397190287377872 9.23241231113261E-05 4.5733988947606E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0906286289724038 0.0877819687378574 0.0254131759499318 0.0545982887092535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00477268221324477 0.00413758572729618 9.61737037685009E-05 4.81800421772054E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0907931915317527 0.088250826419784 0.025414809378337 0.0547171107770512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00529947476605803 0.00485782994215638 0.000115157281883479 6.43783000355263E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0939195876811372 0.0916698253972552 0.0256929702144324 0.0560222328527496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00977013893324065 0.00962903571549801 0.000327135642834375 0.000228467677310228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0976977207397288 0.0950303784250909 0.0260557075952946 0.0570647202748715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0151749159861788 0.0152065590678925 0.000730900115482408 0.000557175807128615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0899866090647057 0.0873366119962115 0.0253301010801761 0.0540098289942522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00498810649756071 0.00459616068352164 0.000102992379741343 5.58682657532275E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0904386799775208 0.0880267371150694 0.0252773439854359 0.0539061284290275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00640210733648196 0.00615764227140788 0.000154075377248583 9.25496060533151E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.0936254798061882 0.0910520220782063 0.0256361477667055 0.0550875384988545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0107038613550683 0.0101776865084068 0.000379067399059942 0.000240762037133321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.11042731642226 0.104166022177628 0.0286681130787601 0.0608266766910168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029021599615407 0.0279664597906771 0.00249382385655854 0.00180151956143536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.127987926847483 0.115487363197789 0.0338228000747281 0.0657673647173197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0472731295104239 0.0455575441774805 0.00658676967499876 0.00462062806762261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76473163930767 1.74177157561103 1.03162274622269 13.1279523252505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0160740513121372 0.0309437430301699 0.00124072437110369 0.000332877771709663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76480609057179 1.74209279647114 1.03134592970859 13.1305904478724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0163727456072087 0.0312327297667842 0.00128950245520428 0.000354773685823454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76485163557961 1.74249952104405 1.03134667392383 13.1335150330486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0170349975339011 0.0316034374198284 0.00136240368343749 0.000391251106879243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76523732173178 1.74350209685375 1.03099452890545 13.1409782010487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0198201529064631 0.0327885346987701 0.00170575252593649 0.000559300185228649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76801640511404 1.74734737137465 1.03131404180425 13.1695630324741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0396748462521958 0.0461880973258602 0.00533744286894032 0.00261412613439412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.77064575703835 1.75020760612357 1.03493071672386 13.1875732180267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0622256452483312 0.0666998604626229 0.0119256900528713 0.00727618905492061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76488714046256 1.74276237450764 1.03243919541822 13.1340409097738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.018353688772073 0.0326077198592087 0.0015079714358699 0.000500663907582851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.765719669086 1.74415891957545 1.03363846585966 13.1433766627133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0246221251843014 0.0360852790865187 0.00237576053560007 0.000980087386444833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76786492861117 1.74643142950025 1.03688550370464 13.155369863075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0412017384070808 0.048973285981316 0.0056764095292618 0.00306746487261147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.76745534422718 1.73931151403983 1.08728449416286 13.0132933759025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.114661551302318 0.119234698219691 0.0378072468577781 0.0288103149795296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.75848807290961 1.71614328881279 1.18210285627134 12.6753713206198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.187244699961932 0.191431142789141 0.0986662564624105 0.0806855488145272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11475149353687 3.05164002768361 4.62168182960213 41.8012492078987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0285395524031583 0.0666708009212688 0.0027247559816855 0.0022002596341794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11340462281221 3.05031938585207 4.62241422144188 41.7690453619794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0288376296811967 0.0666756507311613 0.00274864794996363 0.00220984311312343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11400773524018 3.05094639477698 4.62115905004556 41.7832438063747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0297526102186029 0.0666879652669191 0.00285560678607347 0.00224704860504575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11378093637453 3.05082638852362 4.61915646865251 41.7782222665003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0325815012888021 0.0667945545205372 0.00322709839424194 0.00240540196303655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11379727100437 3.05172085385277 4.61413218617907 41.7928733120631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0493885960919086 0.0716674553634672 0.00645492769019753 0.00421676480110834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11159806182739 3.05125841728155 4.60831935621998 41.7688446426619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0699420592186015 0.0842639280887241 0.0125553816393518 0.00815333449323914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11520879819494 3.05228094971123 4.62230685343049 41.8176599990703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0314253822629722 0.0667838958997659 0.00306306805732 0.00234749915820463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11499842063998 3.05239423826155 4.62211216030021 41.820096190095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0372674989174102 0.0676218909668786 0.0039231348977404 0.00279880860747195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.11506127212945 3.05358476735444 4.61582328914704 41.8414432077754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0520389853134635 0.073245251398927 0.00706527824725724 0.00465989644417209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.10434219386445 3.05380198747055 4.59426494208367 41.8129612529133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.123963256781231 0.127770052768703 0.0396231110137342 0.0280040768881651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.07489955161907 3.04662513294226 4.57814816008883 41.6079704399972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.198522065359817 0.194217921328087 0.102913316293503 0.0795169127334332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.50752520106814 0.501060611533113 0.0154203516295678 1.01936206904232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0102195248564013 0.00914722896898244 0.000724130559250008 5.47092269110615E-06 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507538173254784 0.501214179848993 0.0152575492586246 1.02002547103688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0112110661813846 0.00918331432646188 0.000789789775189032 1.18488892609363E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507563762896181 0.501382131682465 0.0151125018512362 1.02077914957612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0144778230701588 0.00957467355697606 0.00106199960027658 3.7352836678854E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507651883611302 0.501761389456339 0.0148758660080935 1.022558754188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0185740208478935 0.0123945880188914 0.00147265231659914 0.000154512154831661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.508480857066687 0.503850291236353 0.014642288211116 1.03328877344276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0387694630066549 0.0309125226509808 0.00440292388509328 0.00185958927662069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.504351002424583 0.489865743503889 0.0295999819089841 0.987785370895574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0645863013594888 0.0514977181991457 0.0122133500014214 0.00539050234569327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.507841862850826 0.50029175478355 0.0149139146635221 1.01671113778754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0176100748645783 0.0116507954329649 0.00130718780909316 0.000120728754970836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.50829183312414 0.499663297245803 0.0146209210124421 1.01484517318438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0212287954684389 0.0194124004938776 0.00145492306985512 0.000601388896222812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.509592295695275 0.498819920343063 0.0146718941828375 1.01342950016834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.03613773959532 0.037557658121371 0.0033702432580189 0.00269887762777482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.511572873404291 0.469050197212348 0.0518671585381565 0.919438531370086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.103488083905527 0.104447316943674 0.0284193363027593 0.0220823340680015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.530420103298838 0.409858552464397 0.151695308396509 0.725441298574701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.168168105489405 0.172542945898642 0.0786502159698011 0.0591437666654294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25284608775677 2.21131001533577 0.340446647280833 19.892218175966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00646705029717711 0.0463239267920178 0.000193445272472447 0.000114621637725069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25279088786144 2.21129530972591 0.340487357103314 19.8919845076967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00737789135865099 0.0462771665018415 0.000257067827792783 0.000128276640259918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25272392684838 2.21127998265196 0.340546924355622 19.891768311965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00911796160989742 0.0462305483191029 0.000315359480030111 0.000167001486259745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25255183414748 2.21124740413594 0.340725144072678 19.8913878264015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0144785427635174 0.0461942930519844 0.000728551561531699 0.000319709318168556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25132148657957 2.21108756268562 0.342191131325866 19.89046814116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0409124301685277 0.0527906820814656 0.00513443581383888 0.00198072318282286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.24922786477784 2.21088682486744 0.344869551578015 19.8906019650535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0647822818642207 0.0681279541406884 0.0115368953600224 0.00566165380376952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25268061926828 2.21066317807922 0.34079333331083 19.8813166901382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0126149472917382 0.0462532655108843 0.000657366612912238 0.000258229099969155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25236726515025 2.21000296582704 0.341325993370907 19.8704531730791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0222140627225059 0.046838140419254 0.00157760813945342 0.000679445058898624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.25116564425531 2.20851852260916 0.342840735075866 19.8465285198518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0431605206909296 0.0546831619909465 0.00521437045305464 0.00242623584307783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.24097678323637 2.2025492699242 0.356509368992668 19.7616019184189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.12281463357783 0.118365489690187 0.0382432191007315 0.0253935494052149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.22070589453169 2.19501232354919 0.382773093273237 19.6670228749062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.200576507209178 0.187726842871435 0.102481320744903 0.0745371640738458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59259702585425 3.55707307988366 5.91702125512527 56.584667120445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0336800862366662 0.0622876579084876 0.00529822020063786 0.00268267513471558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59251880581282 3.55698842353253 5.9173080793101 56.5828356369097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0335912504371864 0.0623123011574043 0.00529415883895584 0.00269548383362892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59164025959657 3.55611628569108 5.90741525086132 56.5486728674792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0336094843720118 0.0623870350444495 0.0053170168203223 0.00273505914862032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59138079804905 3.55590702771401 5.90735190109419 56.5434328817813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0346579806090987 0.0628539277263739 0.00550146862444518 0.00289688181676069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.58932129296823 3.55425722701326 5.92142467565115 56.5144380138682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0485137192604428 0.0693071212303663 0.00892163074034883 0.00466317148131364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.58317451191252 3.54844097734263 5.94105991482993 56.3725968217913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0666500106140535 0.082238980249713 0.0146547973735875 0.00845714216861891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59270457535937 3.55722677243621 5.92439486069819 56.5964961556361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0342008098445493 0.0625155799992029 0.00546958599170385 0.00280810781231828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.59123688309326 3.55578172649263 5.93102693950549 56.5622599316022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0382423675605717 0.0640098603047757 0.00629867831292292 0.00324919322187042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.58858839454773 3.55344618313784 5.94136208937486 56.5077138976647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0510357124509156 0.0711110084456381 0.00956080033687193 0.0051211968960015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.55975043455571 3.52498016580664 6.04639505093288 55.804103890017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.115067091628385 0.127559570179627 0.0391980937040685 0.0287962538722682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 3.51236791955395 3.47863339010476 6.16531315740785 54.6054906334945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.18344273425074 0.195378457152183 0.0950817161784799 0.0810566307542992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652709690812347 0.638772974742685 0.588810637971092 2.18816913962839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0140754784035279 0.0152040773013946 0.000850440313777299 0.000348553908161673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652241586290737 0.638514226487505 0.588856607109612 2.186359456852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0142965345266204 0.015376938071826 0.000872539364519295 0.000360244069728698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.651732813855449 0.63851456161869 0.588979276305231 2.18494442194804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0150007251300004 0.0160694879599536 0.000945095441162675 0.000412834386053578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652016703896346 0.640018679425202 0.589212488835631 2.18765897746585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0178348643528127 0.0188518208946611 0.00126428354015576 0.00064145594280285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.658885105934556 0.648556251839335 0.592171459335589 2.20477726677008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0367053984689517 0.0384556430476826 0.00443389153234066 0.00320536141300305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.670429757855857 0.659307962817882 0.597741792972727 2.23245718775631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0582318118080315 0.0610282847084868 0.0104010450378528 0.00840535082413344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.652209255770821 0.639453362034386 0.588884496602502 2.18713710926438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0168194850470124 0.0174679402097713 0.0011477192651047 0.000525509224769532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.654349529654088 0.64275078441628 0.589597236601983 2.19446115436377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0234667518477167 0.0236415530471272 0.00202441893862714 0.00109755852954322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.662466007833434 0.651030121407674 0.592456087926182 2.21535560861033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0404715640281712 0.0400737740939333 0.00531996441493673 0.00348833758984093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.702283529030169 0.682803336581134 0.622227545423818 2.29418274928826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.113967695549278 0.111982073568636 0.0384318324841104 0.0285545688133487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 0.74282182259593 0.704016312575689 0.684524075837285 2.32049154818381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.186101616268921 0.183175615285741 0.102918719069315 0.0745947553140024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.03859918500829 2.02553465901078 8.33915254603331 24.610260672235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0273610129245054 0.0370503462933157 0.00334605105620514 0.00192745952556014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.03998255340245 2.02700098614967 8.33619818946595 24.6306507768006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0273714098566949 0.0370802755706389 0.00335858415565101 0.00192401342531388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.03997502153761 2.02715276518686 8.33784428414983 24.6323664938703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0278149659782967 0.0374079438626608 0.00347620530438789 0.00193345952230179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.04069003406206 2.02816978309964 8.33573906865398 24.6381540205064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.029878135734548 0.0390929395010087 0.00393407910873088 0.0020729225037675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.0487612501607 2.0341379643728 8.333770314685 24.6812336628036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0457516311355645 0.0528877209353911 0.00789289033884775 0.004112497243507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.05413880507526 2.03360291816065 8.34095892029516 24.6220944857902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.066799874429119 0.0710577486540198 0.0151575051861314 0.00843794427401517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.04001584570111 2.02735255125195 8.33534168205164 24.6294573768188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0287445956390023 0.038417849246488 0.00370729493121796 0.00205417675698349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.04142316697394 2.02882142705151 8.33304462456049 24.6346253033705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0329946038693152 0.0428591786764648 0.00460934646812883 0.00257410859996053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.04704586905149 2.03221756192655 8.32627423142799 24.6429572271552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0472121336095322 0.0557422992973105 0.00831220518591228 0.00476957104693784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.0708748956278 2.02798277098707 8.3138259305353 24.4086658526482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.117123015015247 0.121915765943817 0.0417343216492307 0.03000511321588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.10207913623814 2.01520342709471 8.284487597567 24.0449391199503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.188431274448425 0.192286753770097 0.102851165602125 0.0836935896569558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2167589185073 1.18298138220374 1.65925823353985 7.17554248699864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0299745067887848 0.0350177970564692 0.00287632433318651 0.000921411358169215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21716488885179 1.18338490293192 1.65936187198149 7.17925247340639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0300739349400275 0.0350436898172296 0.00290833929146738 0.00092828908915867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21771011571259 1.18403110782384 1.6595005853214 7.18481176481549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.030395747048605 0.0352025442072267 0.00297901562473229 0.000970203891408074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21865835309863 1.18549902066437 1.6603540181343 7.19624799760122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0317600479390449 0.0360040255970469 0.00326491876898122 0.00114348341225986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22386527277092 1.19339533513303 1.66531841463571 7.24580963944025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0451845148314423 0.0479913506944196 0.006385754010246 0.00331045651839995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.23085118007026 1.20160220140794 1.66986010809102 7.28727591463154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0650477160395747 0.0676634047301116 0.012623995551585 0.00808589239100317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.2174393733037 1.18402607341059 1.65980834477848 7.18371084346501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0312660651716767 0.0355728612466277 0.00315408652719116 0.00105049153412906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.21877489817162 1.18641829159571 1.66249531283439 7.20082814383302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0351869324679852 0.0382072211448465 0.00400321530449779 0.00154074143705647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.22489802147072 1.19411579452446 1.66947765966658 7.25455571935687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0485350334529911 0.04962701855567 0.00730586041677603 0.00366368101530089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.24632592772672 1.21627860132537 1.68303487327156 7.33577151773021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.120317126029799 0.118563345688746 0.0414903823980023 0.0293575700504561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 1.26093698027503 1.22783752003541 1.72075667234579 7.29941844444887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.194141262625749 0.190547436429183 0.107111603013063 0.080771906857897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19885714836562 2.17763553714596 10.9286416508013 29.7144594924751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0512489568967879 0.0606122764194399 0.0132148751078601 0.00851736742997294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19961160635456 2.17836165658025 10.9251223626317 29.7239115307707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0512050127252852 0.0606656777496461 0.0132004569244199 0.00852244403151784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20053488049824 2.17914629746813 10.9261237004814 29.7365950167853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0517941629398497 0.060860833125428 0.0164089677925193 0.00856207588918265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20153304525221 2.18022649550794 10.9313786598572 29.7546014926082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0526383057731424 0.0616036011853567 0.0171912733687614 0.00871926757791256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20529336548175 2.18427486857949 10.9073256214477 29.7514764760537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0632188606795598 0.0714130089469698 0.0210670850270714 0.0108424186892963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.21260279917454 2.18970888205973 10.8890363009838 29.7649578306528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0801815354826647 0.0875213690126396 0.0283436740446215 0.0154809584820877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.19775022885926 2.17644655458474 10.9300057619578 29.6900686561418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0521126081307266 0.0614462194783814 0.0165540801638057 0.00867564021089788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.1982353075782 2.17742138820239 10.9346114766313 29.6948997531818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0548172691793068 0.0640666108335103 0.0175367138665947 0.00919422986172599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.20149480592385 2.18096421812785 10.9399807199559 29.7123450560534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.065074453796092 0.0740490070375399 0.0213478614183316 0.0114113310084591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23779671483048 2.20256757043154 10.8286488635254 29.7796828193561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.127029169942003 0.135134684727094 0.0557964847686437 0.0377061596975575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.27882295353805 2.21692779264112 10.6391466044027 29.6927525636815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.194981331870602 0.203121022480526 0.115692897447523 0.0919972963988602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23189463037777 2.18426024572043 0.17180908036518 19.2508425719222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00416891382124702 0.0491735684324124 5.79014402412581E-05 8.81096242939061E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23191900037339 2.18415185721546 0.171724997137855 19.2494200487255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00527629873965484 0.0492026108202195 8.6973696303952E-05 9.75182046618572E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23192970648811 2.18404183765458 0.171662031614067 19.2479985225579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.00766846845191372 0.049230878146072 0.000170756469527263 0.000129960259804369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23189807768893 2.18381783335056 0.171599758290631 19.2451753324202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0133912907025848 0.0493114743443321 0.00049063796870513 0.000264012001206178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23115016252945 2.18287474507546 0.172133538384706 19.2342409396132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0386113419822075 0.0545358731898308 0.00388143379926655 0.00174661268412897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.22938823003714 2.18187084421608 0.173907389792014 19.2241254780072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0644634030289329 0.0682365126154944 0.0108620242011839 0.00500031185607567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.2314889591243 2.18440678065998 0.171963641687547 19.252649935211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0119388785422378 0.0488395017139441 0.00040895049658378 0.000252098755089254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.23094035880672 2.18454674790416 0.172427299705633 19.2547516385584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0229571179307473 0.0490640604371775 0.00144413469607097 0.000745246110129233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.22939639179379 2.1847961194097 0.174273539096214 19.2596395601298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.0458939562009205 0.0573719424207345 0.00569207139623371 0.00280596722086973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.21737573850848 2.18553113020692 0.193643720902253 19.2909791190865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.136141288002018 0.128703593428213 0.0496335096810412 0.030622256358191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 4) 2.1950670985903 2.18443305751345 0.229993049339015 19.3156728529514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 4) 0.222747148951466 0.205150139968694 0.133401317031987 0.0896917455598638 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0716155732187483 0.0289003343748863 0.00880558125024371 0.00236793890537842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0775673678451901 0.0284607918866008 0.0108587525309979 0.00242829252363751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0715657975680765 0.0289387065949766 0.00881519494062218 0.00237058208297953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0775174242140236 0.0284974114911539 0.0108711332249832 0.00243170718800732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0715674608482516 0.0289414502760248 0.00881586480433421 0.00237032234007337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0775167251620405 0.0284973518856215 0.0108718548561072 0.0024315436543092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0712845361624042 0.0288008848237002 0.0087570946028742 0.00235320827627874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0772017005793189 0.0283573793955137 0.0107964353286392 0.00241371418569396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0714917553618439 0.0288394781520017 0.00878209584670134 0.00235142044919653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0772929020676939 0.028364502735338 0.0108158802557765 0.00241364855640983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0719314732172054 0.0288980666089246 0.00883101139941744 0.00235006031969538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0774983717963271 0.0283861021730298 0.0108512006215743 0.00241535583297789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0716406259887008 0.0288778794889086 0.00881299951828044 0.00236511286441361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0775948933004014 0.0284336854686861 0.0108638568572723 0.00242536501651602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0714303413703047 0.0287125398268223 0.00877341262023771 0.00234461904590589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0773313279140191 0.0282585117329351 0.0108074085308551 0.0024025719144356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0716957272480284 0.0286857368804023 0.00880304512528123 0.00233970385453154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0776588993739523 0.0283727532617524 0.0108399702574489 0.00241531239394393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0747918457811058 0.028748574419071 0.00905133300460241 0.00232604000397502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0791493129663972 0.0281980657394855 0.0110143500272881 0.0023898742914301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0822625938056648 0.0289196452804424 0.00953537540137955 0.00230751038180591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.082010137695632 0.0279154207932522 0.0113352661585839 0.00234799650063937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.59500885679572 0.626721774059683 0.303297354509781 2.00807337271595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115686454919227 0.1707289665618 0.0260170201827135 0.144752745854716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.595009991486645 0.626716864658125 0.303290488946984 2.00804663135443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115688743970768 0.170722329003453 0.0260165392079997 0.144743984925871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.595820251000697 0.627439777529864 0.302699584446208 2.01137997799336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115693013271388 0.170717816223274 0.0260163512371221 0.144739816937933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.595805032085069 0.627410733911663 0.302640676995558 2.01120872033892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115708612624783 0.170737479516921 0.0260177539743175 0.144765697982692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.596312087361245 0.627716265787311 0.301928366414476 2.01200900000206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115858560929457 0.170496115946187 0.0260040700050942 0.144616177821396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.597282615145522 0.62868621961481 0.301193096500885 2.01592454956367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.116047140302802 0.170471103148744 0.0259767717444054 0.144697497156127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.595926158691991 0.627712985244331 0.303321061879481 2.01309414161848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115875063516716 0.170887298421558 0.0260460408956333 0.145056130993103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.595871597482412 0.627653484110328 0.303158892711499 2.01271145585969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115939060007972 0.170900232583466 0.0260596407842348 0.145109068705409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.596385409576918 0.628616513367122 0.3024189259995 2.01756548999505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115986098285224 0.171564715349115 0.0260364892020117 0.146067762721755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.59552463357143 0.627718400260702 0.294900217259844 2.00907761007399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.117597795641891 0.172647097208294 0.0264084830422463 0.149102961322238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.591859469576871 0.624220280893637 0.281303883173247 1.98352672970848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120967332572588 0.175439887905227 0.0271473186956419 0.155363864292796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225740329086389 0.00622657972634796 0.123859425985277 5.81874803737397E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.26163440633877 0.00799520723644073 0.173886615102824 0.000389195755552647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225738153010555 0.00622605770995103 0.123856513808749 5.81735778974997E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.261629958855418 0.00799373906039923 0.1738798933843 0.000388912043290483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225738201242783 0.00622542468814304 0.123855628153915 5.81532163061281E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.261626065273139 0.00799248486019673 0.17387377715823 0.000388671797842508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225932609208976 0.00622868257964923 0.123916382405999 5.81697791555765E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.261842506547286 0.00782791305325463 0.173975877739507 0.000348654508086196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.226102503662156 0.00622597262397016 0.124037156258282 5.76929342502394E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.261889390315338 0.00783027537146318 0.173996319977863 0.000369688368128186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.22670053230225 0.00623759250633676 0.124407559476966 5.698626726596E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.262308048728216 0.00777835968106429 0.174272432223539 0.000362667072780934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.22572966268674 0.00620921775796556 0.123861948570116 5.7773362598314E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.261642791764604 0.0080775201192969 0.173892708245581 0.000394976442084968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225745815766215 0.00620744682250504 0.123888043117199 5.73646402022465E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.261665675563465 0.00809159581817938 0.173912764815228 0.000396740375443708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225865369054603 0.00623498518900911 0.124014732516023 5.65606794693586E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.261757390867908 0.00807531692285468 0.173999527548156 0.000396021515403628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.228088150031159 0.00630238214032231 0.125657741435157 5.42764740506072E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.263330630204452 0.00842865728322333 0.175092040778487 0.000420090804659887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.230644409538932 0.00606367078464903 0.12842853644548 5.75214094553673E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.264272225076517 0.00904903220079639 0.176549235278395 0.000436505598731495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.607532665999637 0.635762718603118 0.274475871926952 2.05146670432041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151190312439187 0.193981811752593 0.0497229905590171 0.175679775494701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.607530194705496 0.635760688872565 0.274470455329825 2.05143953454966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.15124105973165 0.193992644783844 0.049745123374582 0.175695794518997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.609069569998821 0.637301384268519 0.27663349029254 2.06079852801787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151246385674638 0.194001811356228 0.0497464205112339 0.175713312848831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.608247895594521 0.636328784772996 0.276579123657626 2.05574461701414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151237847461126 0.193594154398981 0.0497136751807011 0.175364205089562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.611209267778646 0.639311494931254 0.275946850019245 2.0709477361765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151835092580167 0.194587056075694 0.0498721010601272 0.176744395227139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.612315944349617 0.640378196777812 0.276460665716095 2.07694727433708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152029828999404 0.194947299141453 0.0499124998147247 0.177432470840665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.60910291798645 0.637340996621806 0.2766221778605 2.06100393112936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151251844124691 0.193856071574496 0.04977923568172 0.175653904137402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.607982706381714 0.6362269594697 0.276913420647591 2.05583834604399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151361791992349 0.19388389493243 0.0498234857580412 0.175758997803579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.60834938876359 0.636550577994767 0.27764689866428 2.05764208548777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151136267682752 0.193573729264395 0.0496718862145751 0.175451534044395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.607086071138934 0.635133580814271 0.269161013471639 2.04615679828223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152915076924989 0.195213549130293 0.0501937465854217 0.179074820068283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.606082673903791 0.634034227716435 0.256467694913452 2.03418409155549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.156458628782583 0.198717693119823 0.0512059120517328 0.187204892210748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471215365959577 0.432538372494072 0.106738474056528 0.91632066145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175035683488608 0.112462606603288 0.0651148275422869 0.0623550877206126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471226727183433 0.43253473713568 0.106743862311753 0.916327436680585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175053279587439 0.112453148958671 0.065123166580163 0.0623535615847583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471239413234895 0.432533029519348 0.106745327934061 0.916338741480375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175073985434248 0.11244532335342 0.0651326754889509 0.0623545494073688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471680226067666 0.43315340117082 0.106784750813395 0.918500050861219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175062929040659 0.112556892315277 0.0652349316797383 0.0624941278033945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470052594483366 0.431517048995917 0.104015894363363 0.909603516507015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175567640508786 0.112742313480035 0.0654239985456375 0.0627848126939054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470421237649397 0.431837127570374 0.103760533639067 0.910805830685894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.176250229442252 0.113195213552883 0.0656941114950473 0.063345645489096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.469846230717306 0.431072356747325 0.105529420388127 0.909440647905139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175233824241844 0.112428940613793 0.065160153889831 0.0623484821655716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470272902020367 0.43170630224706 0.105511529296112 0.911558785908587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175326728704849 0.11260542686082 0.0653154487095769 0.062558285117515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471522499160347 0.433072849478201 0.10480465942714 0.915933726221741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.175324596953317 0.112925003361544 0.0653980074950962 0.0628872488136468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.472125875194172 0.434136452027991 0.101852334238462 0.916529930484582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.177000632679325 0.1141438064404 0.06608650857956 0.0646703086116444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.474961465910504 0.438283954901183 0.0979072334910892 0.92752767577853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.179981451122766 0.117191871348806 0.0670411329674238 0.06879923065411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.517308312541739 0.52673619768417 0.273126241214091 1.47211216987448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0922942228172103 0.103787934341556 0.018497667627783 0.0571484070551501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.517302405537008 0.526734501147878 0.273128985537602 1.47212512180911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0923708749977332 0.103797249604614 0.0185231922777182 0.0571584422568693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.517294325369033 0.526730746079058 0.273122528976092 1.47212499216854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0922667856933446 0.103808227746809 0.0184948512980363 0.0571709063388883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.517299030966919 0.527139844122057 0.272662545378029 1.47342022569396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0922242374335776 0.104087423522023 0.0184961057972374 0.0574222413490905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.517304852709517 0.527267081375691 0.271745901571143 1.47331430201727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0922019369939355 0.104296176919634 0.0184808217196583 0.0575821022871651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.516968477191062 0.527037683391378 0.270646349574993 1.47189555731504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0921005496601014 0.104788685579285 0.0185115974780344 0.0579961643518965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.517302651045112 0.526711561879914 0.27308212710949 1.47198359944328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0922133322297856 0.103782101200279 0.0184984577270383 0.0571534012648934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.51579787819534 0.524870667123896 0.271955017275325 1.46263336518287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0918877728702618 0.103467823166674 0.0185041334973131 0.0567561247068197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.515101422179043 0.524518765585475 0.272202474678703 1.46162591470602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0914230778444647 0.103465497243071 0.0183322634040929 0.0567830497326445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.508980523977194 0.518706678424347 0.262157100955211 1.42989952807154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0919928336648041 0.104408812840265 0.0184595446745369 0.0580874918191648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.502596585166505 0.512926985799228 0.247706984711975 1.39557029982297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0941434010871518 0.106743187476252 0.0190073287872747 0.0613518102112219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.674178337821716 0.705216835488222 0.271990526898484 2.32651499440452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0626288827988852 0.104672215683352 0.00761437921359781 0.0528852555632256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.673422741863715 0.704185674989556 0.271959026632596 2.32083940383683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0628102914600869 0.104591683986823 0.00762986082672498 0.0527827921349368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.673407012955473 0.704173346503091 0.271955555523991 2.32076265159638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0628086237070645 0.104676897733092 0.00763070522967683 0.0527907538458482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.674065261550098 0.705157701499286 0.271999733907847 2.32607217163374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0626438177213695 0.104704267767456 0.00762206286993769 0.0529028096198267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.672183774531744 0.702687334491032 0.271536676340577 2.31237553763117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0628910815452586 0.104577955579981 0.00763468116698342 0.05282080291435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.669864421043029 0.699900576063211 0.270781438882144 2.29667666044709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0631358133358989 0.104494191516471 0.00765993390690129 0.0528619474879474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.67486969247347 0.706221033182442 0.2720571261935 2.33192838357284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0625408793636707 0.104764443743794 0.00762201363830694 0.0529940997149777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.676333673253823 0.707667077274467 0.272204789412457 2.33983336834678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0622367091122738 0.104793067713081 0.00759059048030572 0.0530568822847236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.676728642700963 0.707840830655288 0.272430151158052 2.34075900248024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0623837293839184 0.104735075771967 0.00765078511375985 0.0529756965083863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.672461787634602 0.703639204835587 0.267994930670671 2.31509481835088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0629980938708254 0.106152241080908 0.00782880887328478 0.0545441902954672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.671561150773278 0.701415101787659 0.257781624447067 2.2971867563205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0654368694011198 0.108243669775429 0.00824426634569872 0.0574499482090874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470615696617541 0.459072114031699 0.134961107005646 1.04704829642111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108068379353152 0.0851381384073889 0.0239212821048632 0.0356060027039149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470611501595113 0.459069448125174 0.134956376607492 1.04704541041477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108091266738337 0.085129896375451 0.0239143708353114 0.0356045997068893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470609595302076 0.459067048049052 0.13494617578897 1.04704079532967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.10809358982821 0.0849231702758421 0.0239129418113617 0.0354968032767634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470609536635133 0.45906307611285 0.134909728675378 1.04702525339726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108090738139818 0.0849879403205753 0.0239154273285154 0.0355411237297686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.472032344298087 0.460779252225138 0.134486554229121 1.05309978953484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108043139624262 0.0850722345728177 0.0239474101708199 0.0356546598927177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.473640912738957 0.462200561038398 0.133786462847307 1.05813888513111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108127189539189 0.0851569367899216 0.023906355607876 0.0358340712068757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.47058771905342 0.459053244720512 0.134955018811275 1.04692779726549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108035479810898 0.0850241231024682 0.0239137672488559 0.0355578162477263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470574251369863 0.459036052287513 0.134889147962674 1.04677539217189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108047759237228 0.0850550696101881 0.0239181455057511 0.0355863507966987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470598701170978 0.459009421999807 0.13457798386375 1.04638672013768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108027331121481 0.0851261368233121 0.0239549296760815 0.0356979563705353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471543627751543 0.45944913712146 0.131671872913069 1.04578831155705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108685345498251 0.0861884560845232 0.0241806726430024 0.036888844042334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.478921308833624 0.465420145167441 0.128778011953237 1.06706882844799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110849809278147 0.088589187684711 0.0247957523650229 0.0394646470752537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618920581456181 0.656681149272198 0.294329928708224 2.19674890371118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151020784292449 0.211538578098701 0.0479488853205749 0.208434934434478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618924199915935 0.656690973530575 0.294331685677632 2.19679295577367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151027807731437 0.211555409304778 0.0479520466623513 0.208447912732299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618925021370035 0.656696053641413 0.294323753967041 2.1968067817388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.150961410520737 0.211573429565444 0.0479123525575457 0.208465847955648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.619152368759247 0.656840347916282 0.294285598780871 2.19754901495017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151031116155724 0.211442557560711 0.0479443751919941 0.208282214730656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.620917034978195 0.658716307321501 0.293374764677603 2.20719616693553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151801747135135 0.212408768302567 0.0482322719553686 0.209684107949489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.621462910055305 0.659257793464349 0.291967873727071 2.20973092934762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152311230446247 0.212943279642708 0.0483677968521057 0.210893595607927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.619060866758799 0.65685797429129 0.293824237746194 2.19693766585084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.150850328718894 0.211182031224183 0.0479229658456597 0.207964540634273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618872051068117 0.656540734575561 0.293194110985446 2.19450631248049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.150767126666911 0.21087875259713 0.0478667000526407 0.207536633148761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618683112715335 0.656280373905444 0.292447459236725 2.19283560022125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.150920788692399 0.2109438444756 0.0479080516701185 0.207799527524914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618054163233264 0.655065647133916 0.286877522871067 2.18447564667128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152553368115195 0.21239076977433 0.0484453654112256 0.211814762091379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618044970023835 0.655475194748112 0.273050196013794 2.17849721184494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155507292299719 0.216000718507003 0.0494183034126474 0.221214257828962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142255057024296 0.00571024363578422 0.0362437753787282 0.000157614326233151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155326675314148 0.006309871788369 0.0470249087668115 0.000293665485513129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142253694529241 0.00571210100936 0.0362426028441767 0.000157663642407235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155325445812032 0.00626407570160739 0.0470248178395034 0.000292325694270371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142256574634281 0.00571630218396142 0.036242437785471 0.000157835005156422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155326767284607 0.0062957889804124 0.0470253109591837 0.000293756067519094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142384467370762 0.00572263487680871 0.0362448422560383 0.000158159079258845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155376608162983 0.00605069416350887 0.0469872949573529 0.000268349835102643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142732628866683 0.0058702181508667 0.0363055911766247 0.000165826582049869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155635714538163 0.00598310612690432 0.0470559116596656 0.000257791574833104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143011275719097 0.00619573678187643 0.0363917367182717 0.000182900570325077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155747395571094 0.0057278578713837 0.0471446209532509 0.000223363177013632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142264753568164 0.00572776216297599 0.0362411819939916 0.000158103071566614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155332519951298 0.00626071696264278 0.0470185377968399 0.000291869115238437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142309075983437 0.00576737852989438 0.0362477178522583 0.000159790032103412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155350645824015 0.00627344539570912 0.0470163055267772 0.000292264748203877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142510128273002 0.00591870250057208 0.0362877532209173 0.000166981108843229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155425738772583 0.00633181521037253 0.0470229696189502 0.000294763729357984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.144812743037796 0.00749314164588782 0.036792799359997 0.000255124357395517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.156281881210193 0.0069688428793298 0.0471517467696069 0.000348600017767451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.150126109761115 0.0104605884417842 0.0382384449507059 0.000484797271828637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.158180686502525 0.00790469739021986 0.0476541218507317 0.000384072990973533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0492489871698948 0.0187649426069448 0.00475440528172651 0.00115735877536357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0532818310121761 0.018591062915759 0.00564222540568301 0.00116898463000838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0492670207468885 0.0187633416569906 0.00475625672605816 0.00115723183602639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0532976131720694 0.0185874357848779 0.00564301970603615 0.00116882843182917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0492892577278262 0.0187618402174567 0.00475833935446068 0.00115711174607592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.053316521800028 0.0185839275360872 0.00564396170588342 0.0011686796716288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0493398126102923 0.0187629669949044 0.00476323294082839 0.00115722363170072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0533571096263246 0.0185792486904623 0.00564631301704272 0.00116866716727422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0496053697994517 0.0186931793885336 0.00479652644604726 0.00115310986583858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0535264002937121 0.0184863681766791 0.00566612695354335 0.00116390489176465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0500688159346367 0.0187186445709509 0.00484605912111457 0.00115746517424454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0538024257790322 0.0184948436098804 0.00569664621463913 0.00116835074145146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0492331820844241 0.0187827555634547 0.00476415594828275 0.00115917818860791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.053243490555021 0.0186159556044034 0.00565104834651955 0.00117089846823456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.049343807115751 0.0188931233733715 0.00476999440176605 0.00116927320204425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0533515095693759 0.0187404230803099 0.00565600130927667 0.00118252099641509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0494602768997572 0.0188548999127651 0.00479632072743344 0.00116958692909795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0533821567755965 0.0187478698075776 0.0056761014322027 0.00118571201926343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.051426057861918 0.019211611809339 0.00500901173752487 0.00120872807450267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0543674548537612 0.0191140867967013 0.00582235931080287 0.00123179786253784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0563986239525233 0.0199865757355703 0.00539658161043176 0.00126230032355748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0566968626296763 0.0196750530843355 0.00605558977240861 0.00128301572808139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.658051491429252 0.697745260144696 0.3837277966419 2.45485558160747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.080333409780752 0.139533787621247 0.0158266588622747 0.0982285302694615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.658056593843152 0.697742706854932 0.38372710155847 2.45486692820469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803281614114634 0.139532742090776 0.0158276587032793 0.0982295846855212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.658057488198436 0.697736465932308 0.383717033113861 2.45485344129066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803229171127582 0.139535967283139 0.0158292893714365 0.0982357316535753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.658050044074898 0.697713051456004 0.383667708976197 2.45475177344594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803226954661919 0.139539656233875 0.0158331370177799 0.0982511447909689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.659023965328798 0.698497321795747 0.384055028193594 2.45923384509235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0802961797208025 0.139575067921845 0.0158481119081878 0.0982790063412607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.658632546776481 0.69806235491996 0.382866368163434 2.45637727889136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0804816091350154 0.139741638503284 0.015915296821266 0.0985799096925901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.657524717525837 0.697244166146576 0.384180917292492 2.45242286917385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803393601256637 0.139582364703864 0.0158319289043794 0.0982587901656558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.657443529787928 0.697175015722311 0.38399475966873 2.45199638131952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803485873245387 0.139628596512794 0.0158372560241433 0.0983216204010203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.656678962930937 0.69635703945317 0.38282297944696 2.44651055943865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803728654755018 0.139434295654607 0.0158328050571851 0.0981198911584202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.652453245403804 0.692852248536508 0.375146264012272 2.42390352033842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0816525997194547 0.141113632992166 0.0160863374248834 0.10079651898455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.649464141581155 0.690636442112546 0.364677254985787 2.4067755270341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0846990478813086 0.143905443616965 0.0166878684668704 0.105828281818176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234121951135957 0.00601300293581289 0.119529510769622 4.97387431816272E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267162196478244 0.00750250138192459 0.16412068206173 0.000415658641127031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234107913736132 0.00601739711323735 0.119517743941269 4.96688160993609E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267153859515911 0.00750836665349748 0.164108733025107 0.000416632722359882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234096408453345 0.00602088523381437 0.119507895108487 4.95938720366332E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267146759395959 0.0075149999052045 0.164097885002633 0.00041765447938388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234081224453091 0.00602622138672621 0.119494066502848 4.9430761935675E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267136646717791 0.00753078883554842 0.164079810805272 0.000419841633973626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234126858005419 0.00605950636318103 0.119518447973746 4.86720166192451E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267155692644951 0.00774946983622408 0.164057971534601 0.000437402378025911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234356079680701 0.00607763825104483 0.119675310462613 4.78003631198971E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267275493193128 0.00789311851649711 0.164119247560965 0.00042996037593626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234145678988981 0.00599522917090626 0.119546278183386 4.96690219367555E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267184488583134 0.0074871211050187 0.164149843587999 0.000413691016873043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234199939225939 0.00597862864461063 0.119586332346116 4.95727294325198E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267220926823626 0.00748643870764365 0.164191064351457 0.000412103274810054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.23470095431492 0.0059820064211632 0.119860175658607 4.9472756857129E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.267585333130579 0.00746417151920622 0.16442511272228 0.000401316698180759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.237598072147444 0.0058794588072871 0.121888905853867 5.18105737700178E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.269534531659642 0.00795298398252394 0.165980075515206 0.000399340433989948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.24275332166366 0.00569763785401697 0.125490597035579 7.63885412925898E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.272650778176199 0.00824173325178817 0.168337559419099 0.000339646701942196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622424095734307 0.637176242743386 0.381789923079869 2.16638171378724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128610092134646 0.158474110784183 0.0352491143475993 0.122807293418696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.623298287135638 0.63807196584778 0.381784158055818 2.17115838900212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128782846590763 0.158676810457601 0.035296995940269 0.12305009886171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622391424850606 0.637239706892429 0.382346171892849 2.16726359707609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128788781234762 0.158668870677845 0.0353025572005017 0.123048888900817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622395301949819 0.637226725123019 0.382292586925926 2.16723232871736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128805907222905 0.158654820537188 0.0353150613349295 0.123053757149854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.623518222131677 0.63822632873772 0.382899471200466 2.17307576168755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128892835038107 0.158674748453044 0.0353589661135086 0.12315292298602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622571074445464 0.63692564657125 0.381383712556463 2.16590627204893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.129086351685769 0.158684627999395 0.0354618557027396 0.123325733750947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622452823175043 0.637153619340893 0.381728141888235 2.16630707209547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128655015242079 0.158401421364565 0.0352643777307491 0.122797771567216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.624120491792909 0.638747889113159 0.382853647547185 2.17530104299813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128711803943401 0.158355474749367 0.03528593622149 0.122827257084647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.625019905587276 0.639772363540638 0.381639918900666 2.17986249923202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128866837062297 0.15867953645797 0.0354007510716722 0.123347038167062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.62675449715078 0.639880625675016 0.374965257236381 2.17891501127371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.130689977629685 0.160082488531313 0.0360240436420907 0.12624819700485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.63006978626521 0.640362455643705 0.360233175172493 2.17405618513741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133807508468037 0.162256644675515 0.0368926144862361 0.131338165671819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.49193750884008 0.469837581715875 0.127322985294115 1.07252849151869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135018891993204 0.0902977045827542 0.0448962975607715 0.0406034960824061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.490786446322993 0.468640710245579 0.12746554016212 1.06805674562244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.134986126040729 0.0902034123994126 0.0448835948709396 0.0405488772764927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.490790665234489 0.468640489945134 0.127455111478927 1.0680493849967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135017022685761 0.0900996906421488 0.044901802306812 0.0405383675730604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.490804365174499 0.468644926376489 0.127422752392699 1.06804490159348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.13503328535439 0.0901642012955467 0.0449071211273089 0.0406007872555193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.49089920096213 0.468724422429477 0.127132036939904 1.06814707091373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135196328592865 0.0900562771221605 0.0449500772367899 0.0406108249208008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.49286424003792 0.4706395533465 0.127634678715555 1.07643147306819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135532151482022 0.090219403644249 0.045159445942573 0.0408551155220029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.490714298651234 0.468650821595003 0.127302347928123 1.0678756411308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.134751617704659 0.0899600792737871 0.0448401118458312 0.0404698081685108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.492499284341576 0.470470829501197 0.128883255287454 1.07700642615306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.13483413540222 0.0898673773265431 0.044879526428646 0.0404701278236894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.491468083907135 0.46967666044682 0.128488540291009 1.07351079060244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.134785092555911 0.089697158192611 0.0449452914179575 0.0404308551898475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.493307273501602 0.472263402079619 0.127234646827654 1.08324954251239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.136082209766269 0.0911263073445875 0.0454985876825306 0.041838460130555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.493862389725799 0.474182692997476 0.120602849942079 1.08422226538561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138409512771042 0.0930376983642453 0.0464229242034565 0.0440730060742539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.485336788827712 0.496589764620428 0.25389891062069 1.31385121825383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0689342252213661 0.0823234061861651 0.0115335868086848 0.0372593578281144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.485340115883274 0.496586519270545 0.253900717905979 1.31383703890781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0689229548681146 0.0823214877976626 0.0115329517713351 0.0372586227941168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.485344163130461 0.496581851152823 0.253895176365082 1.31381374449102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0689212833704337 0.0823198502717427 0.0115323116399368 0.0372589620618277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.48608811049277 0.497581122980405 0.253126737670739 1.31714413543441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0688480386579127 0.0825024000639662 0.0115156949669088 0.0373823844527381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.485386032142675 0.496741532167326 0.252701546734104 1.3134726083625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0687125809228905 0.0825021697649296 0.011502370071025 0.0374401388418312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.482596934943067 0.493709961185893 0.248662685884796 1.29806516641778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0687819603846846 0.0826156633587518 0.0115140971936187 0.0375555235384519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.484324938525467 0.495671789662787 0.254748486223952 1.31134942424277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.068925774011237 0.0823329230949223 0.0115333477142918 0.0372717031507104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.484281710853321 0.495679496589405 0.254605140747076 1.31131513035122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0689384844568661 0.0822120713032086 0.0115359943219794 0.0372721117058694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.482787759574982 0.494545210276499 0.252436553792603 1.30502679238598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0689650307543673 0.0824922137740927 0.0115362790856461 0.0375446863722581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.481927463732244 0.493949054163119 0.249338476267675 1.30228176902899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0695030253943208 0.08303142731589 0.0115617095273244 0.0382424912317713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.477942067630396 0.489605124905428 0.239139225947403 1.27828931096919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0711103412856243 0.0843128374342201 0.0118394748915142 0.0401261049076496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690245887658718 0.708961775665912 0.334864182208734 2.39645171198646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0479356012339389 0.0753254511815801 0.00491125953764801 0.027933681523581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690247035566344 0.708971615626757 0.334851920540709 2.39647271520034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.047936324315665 0.0753415558975202 0.00491126752994681 0.027939185419591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690243831506338 0.708977845473478 0.334832353202462 2.39646976686456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0479416591887926 0.0753572396743291 0.00491135554085013 0.0279453464806733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690226698584282 0.708978893472805 0.334771905473596 2.39639025585473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0478438677315873 0.0753904605004575 0.00490625081267696 0.0279605532045148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690001693213429 0.708826277828984 0.334244186089254 2.39507648720108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0480219381782835 0.0755189887134113 0.00493034606799618 0.0280583371777575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.689529779499644 0.70842512916715 0.333257547729954 2.39218000007049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0482843623915351 0.0756010830754367 0.00495149807821789 0.0281515450783406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.69024417648187 0.708960329480822 0.334797546981434 2.39636738189669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0478882278741077 0.0753439011431283 0.00489635815215176 0.0279488249067233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690199448635708 0.708920609279008 0.334655780685278 2.3960311403627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0479635497767541 0.0751942016320906 0.00490367658412628 0.0278805039287186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.689975577956642 0.708719818517669 0.33414585599236 2.39458732611533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0480621106359111 0.0752274300815456 0.00490176644346251 0.0279479405894806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.685173898639236 0.704144981853276 0.329835774921629 2.36649825845355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0489396232877381 0.0754916827645427 0.00505145587585731 0.0284511644922413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.681932978602293 0.70151711565484 0.31918147331921 2.34590152340024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0507376265708076 0.0772332316893681 0.00522984410252355 0.0302135768357981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.50760953493752 0.505728919523406 0.167822471140828 1.25457710603059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0821786504102471 0.0700118011307499 0.0157239739837859 0.0244057469453298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.507330390462602 0.505163780567047 0.167645751409671 1.25222598572513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0824360315168063 0.0700142369323325 0.0157644372289273 0.0243986034485803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.507334883710674 0.505170366658583 0.167627237045359 1.25224444180169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0824368683628546 0.0700473510944041 0.0157632509444317 0.0244051168310817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.507345286877914 0.505184420415868 0.167573592725966 1.25227530351845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0824566242826724 0.070078818914636 0.0157649429259422 0.0244194613126032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.505569301169384 0.503487728522169 0.164421612208886 1.24201969368577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0825911822282007 0.0702633687417074 0.0157682795513781 0.0244889925294929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.505649442717584 0.503600651096976 0.163645261646494 1.24199609254923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0826016043629668 0.0705642837166978 0.0157990737525756 0.0246719178587539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.507608153362151 0.505742555397552 0.167803969313887 1.25462519673547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.082254204328212 0.0699524357997484 0.0157425865115871 0.0243770484960875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.507454959578227 0.505617633705743 0.167518122197149 1.2537769679669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0821588684451299 0.0701963083478165 0.015737662202381 0.0245261043202522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.507511634927154 0.505684381819887 0.167168244305588 1.2538052846426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.082315509055775 0.070375209790534 0.0157522751687773 0.0246217311363762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.509519853444011 0.507560480872889 0.165850858382445 1.26129004933295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0833947476965219 0.0718062004785871 0.0160144737559924 0.0257293307732675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.51402820667705 0.511910425596368 0.160607798987198 1.27549037797861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0854665724437423 0.0740947745023857 0.0165838373066812 0.0276954130556049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697235705237685 0.742352666136393 0.37353256911776 2.73535261413093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.11925484031544 0.183174949113116 0.0349019380040674 0.155880982182936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697228477869288 0.742356301535243 0.373536378469287 2.73537378263016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119259367857868 0.183171347378614 0.0349050752277824 0.155881773848428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697283764516314 0.742395861113409 0.373000283271981 2.73485083177008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119218659284628 0.182909537765936 0.0348566101405522 0.155555196651954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697248567111116 0.742382835935236 0.372951579337384 2.73475559270742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119234873104041 0.182983288088595 0.03486411015114 0.155593764820712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.696907882424995 0.741866051119083 0.372842065970493 2.73213927184373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119597632146447 0.182896702419655 0.034980941702219 0.155711507543867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697611383005139 0.742769511524275 0.370754505882408 2.73564070587617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119614784284576 0.183027006385201 0.0350415384853151 0.15615167669386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697439837545079 0.742387212081801 0.374000870636948 2.73633520832286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119404895745672 0.183115219610072 0.0349578727358304 0.155933264743282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697381499804122 0.742283473756788 0.372676993468825 2.73441260615673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119370196792366 0.182866575398307 0.0349066708239079 0.155680818049055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697150135532861 0.742008337204867 0.372118809542485 2.73262868734657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119430367369398 0.183048526626708 0.0349236336561685 0.155976590208654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.695130077310081 0.739735518521436 0.367244610817853 2.71879616338755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120436663458637 0.18481579352478 0.0354032248106487 0.159643654994585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.691752158736604 0.736286773172622 0.355070696782804 2.69249503491322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.122282872551468 0.186896757365747 0.0360194321603027 0.165311115229404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115279833948292 0.00460448187288937 0.0256492145150574 0.000102964163954212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123800182882126 0.00711667832630115 0.0316911600835884 0.000531566862522994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115282198796299 0.00460489308407641 0.0256481563252219 0.000103060514555227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123798765591813 0.00711462052303318 0.0316883608824339 0.000531404856189396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115286822013878 0.00460705615487596 0.0256476758928522 0.000103229355216433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123798192533999 0.00711334578978779 0.0316858170122077 0.000531395919053128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115303287145284 0.00461842141957155 0.0256486632266123 0.000103816717849044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123800174513168 0.00712674598954226 0.0316818556443523 0.000531314184956388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115595508483979 0.00476611512860964 0.0256973362708024 0.000109846778309685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124007926943005 0.00671329781354926 0.0317160528771925 0.00047735540069784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.11592066559993 0.00505981639264706 0.0257709537651136 0.000121494395991014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124138621930762 0.00714603441926038 0.0317395900206022 0.000510314255463427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115247119967789 0.00460864145066699 0.0256321534304142 0.000103041820521089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123760709179658 0.00667739061673607 0.031672588230339 0.000433518700469037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115242305421381 0.00463650136863304 0.0256215385646043 0.000104004018823061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123732671814512 0.00670982975520967 0.0316577242590741 0.00043454920000587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.115312371527032 0.0047679138724495 0.0256196550271377 0.000108726589046776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12371007171475 0.00688401776312559 0.0316386404687416 0.000440535672507073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.116607191916596 0.00611796122399077 0.0258837125619474 0.000167854564661397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123926114846298 0.00769958905633217 0.0316749697080632 0.00046224073109213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.120376198879913 0.00850751433546213 0.0267778901660071 0.000316343594877301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.125270776456278 0.00904390082753154 0.0320202890211223 0.000566145575529537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0536707116735074 0.0202746778265855 0.00581467960912287 0.00136201119893657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.056585678538234 0.0203709929537891 0.00670657402250928 0.001425578957172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0536764985989815 0.0202739395416609 0.00581377395026548 0.00136245730283782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.056589048866594 0.0203769165798517 0.00670688120727892 0.00142545882863815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0536861589466551 0.0202735043697731 0.00581327244440676 0.0013629476773561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0565938590638378 0.0203827990967346 0.00670739062082741 0.00142535565726665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0537181865553236 0.0202751661461584 0.00581349894732417 0.00136411180717566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0566118184220174 0.0203947065734525 0.00670908501503251 0.00142521205110195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0540212419243933 0.0203068654298013 0.00583171313484627 0.00137105652744726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0567637405479684 0.0204448655446788 0.00672517021084908 0.00142556165845676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0546069875504429 0.0204056363134948 0.00587790337658478 0.00138240042535471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.05703028205861 0.020498188901858 0.00675534601595638 0.00142727614680663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0537364817936609 0.0202782564341547 0.00582022216585103 0.00136131023395581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0566181137438902 0.0203633839852354 0.00670677013980669 0.00142420628481864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.053850508490598 0.0202850834409481 0.00582992569769456 0.00136093975359028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0566716973248261 0.020356461998659 0.00670919322699508 0.0014230506411878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0542070564609212 0.0203085799291925 0.00586212993320958 0.00136133323876603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0568288783533627 0.0203452188860401 0.0067208916238926 0.00142146328331644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0575929840104481 0.0206372095727464 0.00617313218594294 0.00138783263263224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0580251242841181 0.0202134150126659 0.00684743357374712 0.00138728861325945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0654726647167169 0.0216713804771253 0.00683489475183093 0.00149577226454769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0608770842005145 0.0203238629499927 0.00715866286144127 0.00139524277462273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636329998995248 0.678138604263727 0.342894025827672 2.29951345781684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0887811683675911 0.146813858642328 0.0173255858638595 0.109456755427134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636094963171201 0.677922973012991 0.343140802764631 2.29856486916259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.08875794586275 0.146821740743173 0.0173287889865976 0.109467002335173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636092939627168 0.677919024220797 0.343122479564898 2.29853383826234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0887772422276819 0.146831212727813 0.0173275265010104 0.109480872549823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636072175291989 0.677896667718286 0.34305184354373 2.29837729884731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0887961849454854 0.146866688793031 0.0173339500336898 0.109524828564715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.63781251086281 0.67947259787746 0.342085785597322 2.30621239491704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0889155267082522 0.14662715594493 0.0173734033491211 0.109194034772984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.637230529266673 0.678894277342976 0.340606679394947 2.30233315861867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0891588512119852 0.146959407510689 0.0174517681004194 0.109753932886076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636044015739426 0.677896926821433 0.343124275798872 2.2985198178624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0887452971711761 0.146841670161901 0.0173235828978885 0.109488389179594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.634645994544231 0.676525659475692 0.342489679055795 2.29109540787395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0887461473922839 0.14688285442292 0.0173274203050911 0.10957488963344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636420975747991 0.678504439394695 0.343339055527325 2.30243106739568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0888997725156398 0.147085691391888 0.017360368333334 0.109952184675192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.633925792644795 0.676149898877405 0.33705211193928 2.28797155730266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0904103108940161 0.148521167018295 0.0176570620538851 0.112764034540777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.628410401103467 0.671207333198284 0.323190702112669 2.25412277354703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0931292402130015 0.151898746885832 0.0181907749523372 0.11875841047892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.237791899633002 0.00767842051497525 0.128097204235737 0.000141905061506727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274343309157444 0.0140308957024939 0.179303331491574 0.000949950929239899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.237788348639314 0.00766789892762625 0.12809376892246 0.000141469959215122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274342164149705 0.0140193297537713 0.179302484400412 0.000948512872006809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.237791284297152 0.00765662061591167 0.128092712906268 0.00014103599568284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274342444010948 0.0140068666680872 0.179289193882919 0.000947065215074217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.237975561052591 0.00763718407028951 0.128139548778165 0.000140322964534871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274579180740408 0.013987882390584 0.179414864190453 0.000944922156547753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.238474123497476 0.00746961732366727 0.128417897036726 0.000135744064740398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274952864537569 0.0137554938850502 0.179664371872661 0.000927761822386219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.238801349446009 0.00726128143180698 0.128771178146227 0.000132186907375903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.275077964999843 0.0136782863354185 0.179890417114733 0.00092077869042817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.237823550192072 0.0076224096809012 0.128103722309251 0.000139256480372422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274357998545734 0.0140020734277745 0.179316540792509 0.000949471307224561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.238068431339493 0.00755709864190738 0.128187232212551 0.000136556917498056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274623732942223 0.0139843653430296 0.17948014967014 0.000950270810669729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.238081606977252 0.00742484375903054 0.128265344501084 0.00013199985952211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.274402399994188 0.0140497067255442 0.179386784490849 0.000957865415336239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.241079676036632 0.00691794504946014 0.130820422624168 0.00013072637598425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.275461565576801 0.0146051732979923 0.18075127440158 0.00108032588612066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.248353336784903 0.00738156826166232 0.136195954649868 0.000203312905013452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.278126794906411 0.0154813094918612 0.182855134203586 0.00113622728261893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.58350595079172 0.593684711346743 0.335460657388492 1.90155570564758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133595118726813 0.159663293500267 0.0359023246754596 0.126093458516201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.583513956523668 0.593692268606706 0.33543310774134 1.90154681021959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133648538006618 0.159670828280121 0.0359191378175494 0.126102559690639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.583519820414284 0.593695216420917 0.335391206861658 1.90151043928827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133552330530859 0.159681450233932 0.0358698839366593 0.126116669522843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.583528005020941 0.593688048469451 0.335267511191583 1.90135904236085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133663193811411 0.159714312001818 0.0359166855968783 0.126158749566446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.584909396350483 0.594946035481417 0.334274176456117 1.9070540995493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.134111230883848 0.16005931438935 0.0360321924225017 0.126668883751282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.584643591027234 0.594264718246212 0.332380639661525 1.90276086734175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.134197888378577 0.160461616099572 0.0360419046534126 0.127258934303622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.58348658072872 0.593659836716872 0.335453164002066 1.90142225506686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133601938557985 0.159683713263921 0.0359189507354579 0.126139936591763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.584176746918294 0.59431900603338 0.3353133253232 1.90472654774442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133723991726729 0.159874587192774 0.0359622137009101 0.126451367773409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.584035511568216 0.594063706629063 0.334639118034348 1.90321819911939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133802672474423 0.1599294792919 0.0359825025462887 0.126635262177161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.581848091958844 0.590484124871904 0.326572062478266 1.88301939108965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.134863204580171 0.161279908382562 0.0362481737199394 0.129633582284989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.584311217986452 0.591255621189113 0.314383604750249 1.87999424297324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138076563893702 0.164091681022763 0.0370036275283545 0.13600084949118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.479646415184693 0.460655424327557 0.117804684039181 1.02542949325418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138739620151293 0.0994732623473824 0.0477589662427871 0.0485090848067313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.479646938814104 0.460651859084882 0.117802188148889 1.02542479859254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138674949282982 0.0992390463718359 0.0477281146495509 0.0483235248968588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.479648374323358 0.460650197677956 0.117795814447759 1.02542348040971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138757989639985 0.0994635619481609 0.0477683632377031 0.0485046735697412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.479654739332636 0.460651915593312 0.117767395479177 1.02542805633734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138686432444003 0.0993552787137314 0.0477599409533065 0.048491070307734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.480983510596075 0.461940305702644 0.117890585637109 1.03076737031095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.13870009611985 0.0991119244154336 0.0478460907354152 0.0482877719190067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.48027217183697 0.461196804037431 0.117503124931278 1.02775934888556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.139133734093057 0.0992475325021084 0.0479915435668618 0.0485134336256487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.481398010226671 0.462398384141896 0.117992718017197 1.03238059550168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138890217530835 0.0993602672853294 0.0478003276664598 0.0484425484963428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.481360600178206 0.462378614048454 0.11793566580315 1.03227180516941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138977752851666 0.098953122260967 0.0478355542844713 0.048208063807138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.48272832817709 0.463936008317684 0.118340703283491 1.03904888109272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.139098693986271 0.0991408547784517 0.0478935290163273 0.0484263051339414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.479576221865674 0.462235327180332 0.114259172329034 1.02766100548259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.139418287496122 0.101195628527894 0.0482016923556179 0.0508312667367115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.477970071155019 0.462104050555045 0.108656160287393 1.02016624463003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.14144182346879 0.104055450482947 0.0491366221620812 0.0542150894684837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.430739844827343 0.4469829155973 0.204195972311643 1.07915516563104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0758611559782109 0.0925496984448528 0.0121065183997466 0.0463307407080391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.430737813920289 0.446966988902306 0.204189844901651 1.07910838275542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0757595777399513 0.0925300089026036 0.0121016884547242 0.046324745650546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.42901262870659 0.445227045406077 0.201390279450596 1.07037303736685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0758125342551041 0.092525512939507 0.0120952636745847 0.0463250642374059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.429008472009341 0.445188182539652 0.201347162834716 1.07024111952838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0757993625588537 0.09249547705187 0.0120929926108318 0.0463289510766271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.43238041721793 0.448429337504512 0.199844641024419 1.08077488968632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0761412622040002 0.0932441113045649 0.0122692425720251 0.0472871421118302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.428399641627296 0.443874027499549 0.192712389091659 1.0579918260067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0766271926410149 0.0939472773641549 0.0124194331022248 0.048004504087548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.429106482626472 0.445281918787922 0.201296685286558 1.07049365861308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0758905077500965 0.0926614033858302 0.0121267001689556 0.0463727350008129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.429653254328183 0.445735899624332 0.200864167078516 1.07182751743865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0760753981397827 0.0924039615926278 0.0121352866999177 0.0462995463373261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.430040045215474 0.445860945898194 0.199385653139033 1.07119931998465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0761992453330842 0.0926633851179671 0.0121420016107176 0.0465354575308014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.429232492104239 0.442805925174006 0.192640078947334 1.05542864636511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0772493746064588 0.0928343226616621 0.0123525827490954 0.0470585135753252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.428917250235169 0.438668843848099 0.182542893061336 1.03324234783546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0790820236296891 0.0927732146425329 0.012467364078322 0.0470481742805408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650144911617644 0.660905412384173 0.310887375488771 2.10879792177277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0642531139116122 0.0786418083415888 0.00928170164602688 0.0308400965752819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650149777413935 0.66090729509541 0.310880130649902 2.10880319409861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0642694343725673 0.0788243463861666 0.0092825320455249 0.0309506396259372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650149533336294 0.660904798520135 0.310864325198239 2.10878104999492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0642758227000577 0.0788058543663902 0.00928105870124028 0.0309494425230059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650133711362233 0.660886385601696 0.310806341959717 2.10865531168093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643100408299409 0.0788424324330949 0.00928106095410318 0.0310021549759119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650928971919581 0.661402987204083 0.310274388394941 2.11094625906172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651140800766917 0.0789646635831068 0.00962779184015895 0.0310334389815829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650375055361618 0.660882823379208 0.309774778346623 2.1083087109804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0652563003419766 0.0792538600620846 0.00965994347053678 0.0312607193165216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.648849654740563 0.659450408759415 0.311286833429018 2.10160164227723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643469698780592 0.078782793569631 0.00926975387145945 0.0309255799245382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.648783884922167 0.659377289362452 0.311122456258935 2.10117112628056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643374873396159 0.0786981595346732 0.00926385137950146 0.0308840214377617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.648491002519433 0.659085363588026 0.310509206838438 2.09940319645437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0645135455792854 0.0786912317710204 0.00929554910115062 0.0309067196380668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.649126613774383 0.660114356590051 0.304394139639698 2.10320288660134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0661978169222644 0.0796286958719026 0.00946193235934334 0.0320940588557186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.641307350151595 0.652505207312178 0.293640336824903 2.05828450489459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0686332117241915 0.0813364572016485 0.0100033423267534 0.0339714725106058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486764386336736 0.486824904316908 0.14259630914123 1.15416099127103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0880028158875435 0.0818790939745653 0.0178418286587921 0.0331702132951095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.487886660610514 0.488166863742411 0.142437167296936 1.15925200937548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0879166965898709 0.0820157966154802 0.0178199054421346 0.0332622659192302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.487874747973341 0.488161058356599 0.142433515983899 1.15923175971057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0879161445911935 0.0820287384880957 0.0178186200773693 0.0332713325957757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.487340978478654 0.487599692738065 0.142715616113554 1.15729182796459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0879727516757909 0.0820516196472242 0.0178048326400826 0.0333007542727615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486173048444893 0.486520884137234 0.140994394273432 1.1513462172365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0878998030614101 0.0820079580448113 0.0178128180444838 0.0333721008925276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.48712305662528 0.487558870485143 0.140168552826288 1.15490047260118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.088444971643535 0.0823749032479326 0.0179198982775213 0.0336833477520724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486710072416182 0.48680663194776 0.14259723600443 1.15410652798871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.087993706211535 0.0819002172636814 0.0178508957336227 0.0331775940222255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.48720273326376 0.487373353827304 0.142395536080162 1.15625253212953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0880156468235146 0.0819058770463571 0.0178700041600767 0.0332130125234452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486605273922018 0.486811215835612 0.142132477882049 1.15390343000776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0883566150646794 0.0819141544327607 0.0178982654635519 0.0332341276529992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.484345052341496 0.48489344083834 0.137711121238761 1.14305749558864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0892237116998683 0.0833989626564681 0.0181724566580467 0.0345228675689058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486675829297924 0.488157666419463 0.132497333089252 1.15185658236961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.091837013810368 0.0866965028591388 0.0188821154210211 0.0374679378461384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.643780637799912 0.691681324959235 0.328342321997162 2.39189545931967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120079474057531 0.186746596129878 0.0365358654048673 0.163487977315526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.643290059725502 0.691234183472292 0.328853798846015 2.38971689632862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120049726683395 0.186744905055777 0.0365068213393034 0.163493613725877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.643275330722387 0.691223354525599 0.328858585485552 2.38967575133257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120040764573148 0.186743785062367 0.0365065979289989 0.163502913799024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.643231563454894 0.691187032304832 0.328833751559624 2.38949953969444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119992798363637 0.186657021232141 0.0364954261345128 0.163433389601298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.644272227929582 0.692247367217362 0.329741005288812 2.39606997797863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120054306438545 0.18648258892698 0.0365355351814653 0.163578650040536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.6440902508372 0.692096800869287 0.329474572541297 2.39526101577375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120205785597839 0.186610805014246 0.0366095517598207 0.164186720207043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.645039399121084 0.692951883752026 0.329017051224031 2.39925603041139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120120464203064 0.186558921299166 0.0365577265433552 0.163328823514409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.644940093286254 0.692862944768403 0.32884454614594 2.39876804116683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120148980462737 0.186492550679666 0.0365605648665277 0.163304747498792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.644596347263896 0.692561575467324 0.328235396490415 2.39695829123112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120136635975404 0.186542322569306 0.0365458825854697 0.163683855330777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.640900135108271 0.689175541089868 0.32101906315096 2.3743277976741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120974891494008 0.188026910376741 0.0367933701483762 0.167243211544926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.634300773296622 0.683665106818491 0.307347565757232 2.33633657064428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123387603012251 0.191864250269988 0.0375035481990666 0.175953254648766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.113804416699374 0.00743869763262647 0.0273001015502324 0.000288274336694304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123374913538135 0.0117395806206898 0.0340211217700394 0.000908314423145692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.113804312900712 0.00745134971441214 0.0272974233193591 0.000289429381044713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123372566315465 0.0114402124692611 0.0340188519689155 0.000879558694823436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.113806836943404 0.00746543509689133 0.0272955524040663 0.000290697078178753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123370889752376 0.0115609661899803 0.0340170039569497 0.000889300573144638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.113820038611395 0.00749807565746382 0.0272942634309498 0.000293577625463555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123370859902917 0.0117433872395492 0.0340144676540369 0.000918010304698434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.113994611508385 0.00768292834347029 0.0273225386335877 0.000308713332456064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123293487816295 0.0118979274915052 0.0339599444358554 0.000936532657743816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.114374121075218 0.00806169701319341 0.027406611105078 0.000335955853916896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123384794721289 0.0122133625203832 0.0339835859534112 0.000962532504949429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.113695867736695 0.00747261871332611 0.0272873594412 0.000291033599128003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123248105502233 0.0117165500907364 0.0339923307110427 0.000910509141633737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.113864103303602 0.00752294939699482 0.0273306813851842 0.000295310801642735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123405337269676 0.011737898447295 0.0340370899015947 0.000913577771095288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.114015770065465 0.00770677861258624 0.0274041259456972 0.000308940355913956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123395281651299 0.0121482017505514 0.0340538185465029 0.000953095857931037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.116857074921541 0.00970636198624115 0.0281580831419796 0.000467500619337034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124459205966358 0.0130074549891631 0.0343647274087558 0.0010330726516533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.1231386834366 0.0132233335399587 0.0299034280178315 0.000856025682031321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126310000819022 0.0143286588854744 0.0349418077749138 0.00114210817652308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0601845353666224 0.025338653459448 0.00773578584455331 0.00187553088721884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651103107920138 0.0251475757224332 0.00943515984684836 0.00192744763933295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0601771101654158 0.0253487980396118 0.00773142561603249 0.0018763363734484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651111137408719 0.0251510951914986 0.00943395000645369 0.00192759664378824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0601788712829386 0.025358254762579 0.00772788262673665 0.00187718315950819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651133400273886 0.0251543606387367 0.00943290107111116 0.00192772427831643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0602079779756994 0.0253756211175618 0.00772375788954574 0.00187892752940148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651248652498554 0.0251613835586643 0.0094318579116555 0.0019280356773617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0609621894953464 0.0254762748853147 0.00776646851730346 0.00189130310067134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0652556910701248 0.0251885367100468 0.00943914642940128 0.00192925860775021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0632222134786984 0.0258995198035722 0.00797639775652715 0.00193238516543748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0655385707853074 0.0252236568590357 0.00946677753672823 0.00193141206207552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0602854648519427 0.0253588633974933 0.00773358875239704 0.00187607079700325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651020136094555 0.0251411075406369 0.00942316703681844 0.00192393787633781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0606241197319422 0.0253491893793407 0.00774971439873494 0.00187250125032568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651227204453921 0.0251362099018647 0.00941438844726552 0.0019204772904063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0623617351856635 0.0254673047447378 0.00790284871384256 0.00187126973820177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.065244794621734 0.0251285779153476 0.00940659104748082 0.00191341664645836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.080814008092876 0.0310313666580772 0.0144935265188744 0.00298548650953208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0730117196301505 0.0431094021227404 0.0118874342266191 0.0157709228362932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.107451241965121 0.039961406138586 0.0229914467453709 0.0051751220528105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0809200042933549 0.0557016168664927 0.0130574379518551 0.0237725666358623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.561277670799524 0.592980314982956 0.294993329285061 1.82533035974524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111235136948835 0.157208027312575 0.0225939792306478 0.124487458680688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.5609250889469 0.592656263166835 0.29537578138535 1.82395414207281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111251564706306 0.157210645074984 0.0225988855504734 0.124501034305544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.560977478929107 0.592675669749153 0.295351463731153 1.82399699496504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111189397066959 0.157172537265454 0.0226125372537774 0.124473745090671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.561045602721178 0.592660456276741 0.295195154465968 1.82377515867795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111242207213901 0.157231870301869 0.0226283615704916 0.124557865939212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.56122028911992 0.592677602625607 0.292740068694947 1.82200752369743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111289034908326 0.159458155946709 0.0226741432250361 0.129518739454821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.558467190490516 0.590306044944758 0.291938613249179 1.81003473112258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.112893190200623 0.162194860225009 0.0230466492356408 0.133862772706978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.561038499648009 0.592627410431714 0.295528250906025 1.82414879761446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111311892173222 0.157086064392277 0.0226382107433262 0.12447826086282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562329889671529 0.593811493602978 0.297106893592915 1.83113638743108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111469512903336 0.15693299075376 0.0226626989210289 0.124436807063732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.561944920074895 0.593093966348163 0.295882908071447 1.82750280628505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111552342350187 0.157127343655526 0.0227460176129141 0.124836050129564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.556281081137859 0.585952706788121 0.282657856207675 1.78271158552814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12642837226356 0.165061430905064 0.0325753179944289 0.139219059620134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.553239839638216 0.58158996120813 0.261990480504122 1.74010674687106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.140247087048955 0.18457636515067 0.0382650390124417 0.187255202974343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.231332842724145 0.00979661114181892 0.1414963427016 0.000321752729054892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.275939746406285 0.0175595043489233 0.208331795413864 0.00143599030464664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.231396298640293 0.00980494797379003 0.141548730541531 0.000322002295051519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.275944364085102 0.017582856142106 0.208338643862563 0.00143813562547938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.231988733699891 0.00981814306564336 0.141706650376422 0.000322222822317956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.276459818615942 0.0175629325418071 0.208414951338075 0.0014365052575106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.232214352914385 0.00987114405451769 0.141932916409611 0.000324479115207243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.276475820649979 0.0175266772284336 0.208434817162305 0.0014333118266861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.237546138620932 0.0105797882536842 0.150740229959574 0.00042270925032578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.276589545960875 0.0186211180228949 0.208573799082712 0.0021223502016733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.243640660809114 0.0109116835909484 0.166963783126933 0.000447614415264603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.277229849715458 0.0187669416343803 0.208939952672813 0.00214113304134494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.231944485138966 0.0098742941700672 0.141851035342856 0.000322145326944877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.276104736414061 0.0173975970360925 0.20830290454439 0.00138495208064744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.232516066151777 0.00995548286727395 0.142525510665445 0.000330882758434341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.276110608865532 0.0173497962446803 0.208333155694761 0.00137869950780255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234810342069012 0.0101534695627721 0.144517785276675 0.000361495672582388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.276466917240498 0.0185467028189332 0.208279300061894 0.00189055461160795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.251106173853584 0.0102401624143268 0.164781903399073 0.000420577599393395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.284240892110889 0.0271809369168826 0.218334555393917 0.00580963988336774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.27263531589331 0.0123738918577804 0.201849647147091 0.000739296554568136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.286047227436047 0.0291931633116137 0.217122614178757 0.00592578567301216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601597832711483 0.619547821130943 0.283663314208569 1.96565292445737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151116182131187 0.184161139755199 0.0521766589032961 0.166899001860282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601557115737423 0.61955382187014 0.283681159869062 1.96567098331493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151118638574633 0.184172370429957 0.0521767466397786 0.166919098998994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601519990102397 0.619553050613122 0.283664620440233 1.96563093450854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151129334158099 0.184186630778096 0.0521788163697649 0.166946861577801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.600671861291443 0.618716855613348 0.283660896392401 1.96123736590286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151011134953168 0.184020232262832 0.0521527043105511 0.16674252291885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.59722134332676 0.616101041338019 0.280719363304411 1.94332309387509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155137668890576 0.184719201661421 0.0602095178049618 0.167690900795404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.596567825035516 0.615401436725049 0.27358548363315 1.93218433301047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155851359276085 0.188462060641973 0.0589384816229103 0.176191623433088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.600641430003616 0.618346415534732 0.282965851546957 1.95873053118472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151981482760441 0.184065140101983 0.0523292131397062 0.16665526752991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.598784457326725 0.616412259040202 0.280903220377382 1.94702983714676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.153914591549253 0.18410010968586 0.0571218379789234 0.16676193851248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.595095231106542 0.612412396179924 0.274060063754854 1.9215709730049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.154158377313678 0.184216093847362 0.0571668100789861 0.167145009139429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.596058318309441 0.61471367908558 0.267543355620396 1.92640473959082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.164990221622407 0.195821181479049 0.0647130200456757 0.190002040076734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.595290366377728 0.6081979258548 0.246076795005328 1.8734637303053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.181352621616411 0.203771622485015 0.0794237612711417 0.211510853400684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.465070615719608 0.428864935003074 0.105715390424427 0.901574481269004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163231737033843 0.102980865392359 0.0571156927159484 0.0528961337032296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.465121425308255 0.428908863807558 0.105760398325206 0.901751101402429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.16323475457901 0.102994281252893 0.0571185608559647 0.0529041685652228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.465179928491159 0.42895938603403 0.105795814914567 0.90194201902161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.16323295410556 0.103011195714587 0.0571186572446996 0.0529163789234525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.46466460102179 0.428288831812641 0.106178586506943 0.8998502930133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163254228566853 0.103040281777459 0.0571300228510575 0.0529622618723567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.465247904932292 0.428500779019726 0.105600722520905 0.899390664284781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163679660057767 0.104123251646659 0.0571448129557728 0.0542015874703412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.468431129866512 0.430672164767215 0.105842681094279 0.905783641288009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.164979274582239 0.105769163629718 0.0573415143086827 0.0560599862368161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.463398040012864 0.426887116239852 0.105969098755573 0.894589961921374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163234923019593 0.102980230107729 0.0571569158543575 0.052924188774806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.463831417789321 0.427127159000723 0.106032571184328 0.895328461712111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163209905981409 0.102800809689211 0.0571469417533276 0.0528634755283083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.46534678913874 0.428193265009262 0.106485460106762 0.898765847614492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163636084322821 0.104616557044881 0.0571772568985893 0.0562985672253773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471030159330089 0.431262835369165 0.111690639758085 0.899722667764026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.17135075283759 0.114286089619088 0.0652268118594294 0.0706302440223724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.473546423302112 0.430750750055749 0.108763128313061 0.889437405475533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.183070597016557 0.122790556897385 0.072416138279869 0.0842941727421715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.46918881232369 0.482621278345161 0.217594407006523 1.23184980458471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0955363201435878 0.10642704791394 0.0189756593319247 0.0605031177068392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.47052726400417 0.483948771401967 0.218465031267885 1.23689503934203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.095556441558917 0.106214564960719 0.0189786844441513 0.0603768120735395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.472208702076855 0.485628789701379 0.21956506168407 1.24423832862034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0955472229563644 0.106224309460491 0.0189750565575363 0.0603932651317724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.469788326785759 0.483211254197395 0.216189447458339 1.23117504898337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0974176681158109 0.106251948610387 0.0214174169418927 0.0604370372007337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.470482982234849 0.483284966302512 0.213266859027448 1.22920024887154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0991232060355913 0.106846992717148 0.0229457039267586 0.0609350036169887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.473365086226582 0.486024712720736 0.215576152848294 1.24349105867488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0989863475367792 0.107790512327668 0.0228890225737212 0.0623908759425839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.469838872315274 0.48329355210813 0.217157001450809 1.23398025389322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0952575371733504 0.106456139168179 0.0189058935008566 0.0605222508577946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471826058451593 0.485183877195299 0.217217159589509 1.24129733859779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0970326994385573 0.106595484172984 0.0212947728853464 0.0606288465516257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.475009056884657 0.488008779801255 0.217375331340679 1.25302803037028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0949459769389178 0.110080774425597 0.0188762651931351 0.0662521407731559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.475622733851106 0.488025813313042 0.207845199059297 1.2424706485808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0990433463426733 0.11961128076539 0.0209646686202062 0.0839374241984364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.476115539075529 0.486848017614525 0.196257057745293 1.22712395248293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106525122558545 0.12486111625124 0.0256877205154868 0.0912664896608579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.632268522791593 0.654941949432499 0.274377378638492 2.05432284356367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0616804821438467 0.0938376231380443 0.0072069147404297 0.0435244397036942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.632265101747485 0.654899065551857 0.274395112152646 2.05410679121357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0617844005175926 0.0938321420458498 0.00724212329399396 0.0435180893482369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.632231705512939 0.654831404316507 0.274353567908785 2.05372580557318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0617016477851659 0.093830989683812 0.00721809200978236 0.0435166564585984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.632111465015554 0.654667674173584 0.274154143840585 2.05270903689915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0617978807772155 0.0938350959740103 0.007217966558667 0.0435225642023838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.628927416692154 0.651326539520387 0.271879175257946 2.03415833845992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0616483602203065 0.0937497490778314 0.00719427346427404 0.0435441178685317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.625420457054302 0.647898436899071 0.267707954014232 2.01422105984893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0619222302036185 0.094065198057746 0.00723516532930899 0.0438746754213355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.632203196890032 0.654761260781914 0.274259720342238 2.05331378454811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0618244994325815 0.0938472999017848 0.00725027666984313 0.0435383158896941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.631975084529114 0.65445241049064 0.273889282584493 2.05147140795336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0618239690706106 0.0938676719544344 0.00724427218791133 0.0435734035472931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.630997735245491 0.653465372120189 0.272378343430089 2.04536476339113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0625258501707334 0.0937693890409593 0.0075896894799298 0.043614449768979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.614526347279711 0.638934866953759 0.257233675335938 1.96146640982071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0686232181433728 0.0977796307318629 0.0115504799814987 0.049225286196696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601060513934682 0.628402585109055 0.238783634313265 1.89498279183796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0752487081162311 0.106906604820773 0.0144824631272113 0.0636520956005967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457211651961932 0.446948224585271 0.136996310615432 0.997597083933451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104290935867422 0.0817880216719314 0.0225628591658606 0.0329798260865514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457247391052595 0.446932619093977 0.136961175259294 0.997546443309203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104306729513496 0.0817840870534424 0.022563446043013 0.0329771037558679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.45787313037515 0.447476446400815 0.136603970427925 0.999316491354396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104234013040404 0.0817792798523877 0.0225711070915623 0.032974491206487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.458194598822137 0.447471948023505 0.136319258201677 0.999266641753626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.10429817632774 0.081791861491287 0.0225819224127733 0.0329834227395705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.464030929667106 0.45167037513614 0.137504198393049 1.01601018289671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105441771674353 0.0818057632270716 0.0228478852305126 0.0330463799278679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.464857832560712 0.451783563935857 0.136056408936318 1.0151993812594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105730633027217 0.0823011921494949 0.022916989021678 0.0335457188455967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.458102910531495 0.44761229535591 0.136387216821894 0.99960415193373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104341721125866 0.0818755133861662 0.02259346291448 0.0330068715941505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.459677972446973 0.448825140150269 0.135719391994763 1.00359434899468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104419373878777 0.0817911569789374 0.022621918768376 0.0329790832873757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.462842033333251 0.450914627441394 0.134808235395322 1.01070902237147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.107135429069691 0.081653471951679 0.0246125188465218 0.0327518997175305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.474361559037711 0.459050336136885 0.132826419543657 1.03705109582496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.117952903557274 0.086261754664227 0.0343444399984563 0.0377335744245317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.482083812011377 0.466305369136233 0.124586828038133 1.05497903174079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126870032071675 0.0966221124116666 0.0418427207372161 0.0517056910620568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601972184184501 0.639297858582791 0.276616178921306 2.06675307784479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135475854531769 0.193390216152824 0.041622162910504 0.178215530778718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601957154333452 0.639283989187985 0.276682498391115 2.06671353196584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135482411909719 0.193355647507395 0.0416268766605681 0.178180224440756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601934588321284 0.639258088280676 0.276720431509175 2.06660806040115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135491557996577 0.193250975051729 0.0416321129456346 0.178130595570091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.601869543169537 0.639173156036386 0.276714057350494 2.06621192629993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135351147267374 0.193196763013964 0.0415727291723194 0.17809844906559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.602188429233023 0.639236707466008 0.275725104677508 2.06588756304403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135603544803159 0.192956439555799 0.0416545706184497 0.17802053132414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.60021924974215 0.637151651650218 0.273401718655004 2.05445279152867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.137842563847308 0.193175182367218 0.0424073263723334 0.178774409449269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.600742769008805 0.638025789354153 0.275704008057939 2.05970838564829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135411414725846 0.193449361021195 0.0415829524011146 0.178301828553009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.598387328049618 0.635660540608689 0.274318019644363 2.04670523169494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135546445816165 0.193507374084304 0.0416247393542373 0.178479829178429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.600496405627093 0.638222802002049 0.274455418200216 2.05902983249977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135610030493322 0.197769194825889 0.0416215158178838 0.188418795732572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.598681503676631 0.633875925444226 0.260210456935117 2.02256323748272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.14787494412431 0.206775158092737 0.0538788438247615 0.212176660100092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.597746319168765 0.632424244637531 0.242402843597764 1.99636418704733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151296175150727 0.220742882738558 0.0516367175387897 0.250643132081203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.13172558058373 0.0109501297371571 0.0336194599706321 0.000716179813771179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.14120103268013 0.0201703551564718 0.0413974877796929 0.0020205935069227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.131626402682185 0.0109610064277816 0.0335913483829922 0.000719161953169895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141072521187207 0.0202034798959539 0.0413682352739351 0.00202063880476624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.131851550881886 0.0109791855240255 0.0336265152801435 0.000722931760256927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141246326699104 0.0206704962086748 0.0414192765731225 0.00215656553193085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132069577416905 0.0111295008479985 0.03364811714083 0.000745318976336119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141280447979147 0.0206958821383153 0.041435219365165 0.00215949024664535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135802434525875 0.0119603496953027 0.0353488426293751 0.000870326730643787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.142452816946349 0.0215792502540408 0.0418049218659941 0.00230617971538308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.13842890600394 0.0128687463743768 0.0369089528294666 0.000965900104153654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141907048048111 0.0210001097530494 0.0416975581433097 0.00224027776018574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132493336212959 0.0111415964121798 0.0336575594387962 0.000738027089481103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.142139490742832 0.0204933459041446 0.0416682915034566 0.00208819085067255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.134898684827665 0.0115161662731494 0.0355447598650323 0.000794360415059725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141211219008217 0.020883506094539 0.0414409256102155 0.0021889586287182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.136555313851486 0.0120657950791914 0.0366760461985193 0.000875255393151613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141441131627023 0.0209395366731457 0.0415424809078574 0.00225633444405015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.147569056597389 0.0159657925047617 0.0406595455088887 0.00140775056195328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.148649713693675 0.0239112343892108 0.0466902325613722 0.00300170454176418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.169108631599657 0.0213972781531624 0.0513115818228218 0.00230464335390099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.159265266226766 0.0295014417196202 0.0543823107806244 0.00439799794093775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00785796731352747 0.00357882417863016 0.000378971389242566 7.740480155699E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00979170555412969 0.0117465777993873 0.00107097016774099 0.00617911854173097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00785938202268092 0.00358501085229991 0.000378950117940955 7.76254834431922E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00974151840704662 0.0116760031445203 0.00103981828073865 0.00612965988163487 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00786591577024425 0.00361301837571077 0.000379304091501424 7.83709810514735E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00975087897401459 0.0116997015384402 0.00103990984122086 0.00613555735855063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00790407460474403 0.00377571987679622 0.000381278947096 8.18595878225946E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00979648563357021 0.011838283047922 0.0010414068703364 0.00615013664094282 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00875368448159747 0.0054049631559294 0.000411975753755898 0.000120484200058932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0106339633528473 0.0135676585405247 0.00104307673417742 0.00636320494159024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0105544185368185 0.00757073983517863 0.00047847691735132 0.000191735525321325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120877596146811 0.0152046466101334 0.000955074235775681 0.00580254674856175 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00789566817229293 0.00370489371570086 0.000381438680615509 8.07651454432509E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00982546720165574 0.0115172584216572 0.00107063772635136 0.00584464441439085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0080427468543192 0.00417046549584331 0.000388483645560838 9.09527092188325E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00999277467217854 0.0120147662188003 0.00107735632047262 0.00590378475555847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00895294099428522 0.00568565906044581 0.000421065247108703 0.000129766108860106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0108737072352292 0.0137413939717528 0.0010802534828997 0.00611514242902774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0162447842845932 0.0133512531858399 0.000740965685031773 0.000481869677232625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175019466055598 0.0221311080289101 0.00131882450065051 0.00723912609159153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0261353023936765 0.0218037218283514 0.00130826240861703 0.00111418571716588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0248564786695138 0.0289859200054218 0.00179117394750173 0.00719204366963686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.87822018952869 0.879607634807149 0.921559271024415 4.01545244788883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140760705619746 0.018656524541238 0.00328941834406952 0.00643821817788226 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878407918866853 0.879786976809272 0.921311216760668 4.01649049864572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140551373488399 0.0186522378361441 0.00328649158379659 0.00643230626501226 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878174924005293 0.879544944888467 0.92100530585497 4.01453515986774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140604498319751 0.0187465029406815 0.00328578248331485 0.00654734678842885 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878334460791513 0.879680885775691 0.920675724339084 4.01529392980144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140848479095541 0.0187483605407053 0.00328532331852467 0.00653859205712051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878670791665147 0.880096320164146 0.918635140240354 4.01662132607066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144369018749157 0.0191540439189436 0.00325377579383944 0.00665474071507957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.877093608710519 0.878746717295954 0.914664271272385 4.00372998063565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154645389186237 0.0203758744303621 0.00327017747310028 0.00718456990675948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878412383328885 0.879782695453719 0.921402667377223 4.01656405315826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0141176864777876 0.0189030074603308 0.00335779856765062 0.00671630399326203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.87818526035311 0.879560049739527 0.921124450073749 4.01491151963984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014120479593506 0.0190141002921373 0.00325676389484037 0.00679655003844544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.877607162288747 0.879146786976262 0.920128186292698 4.01119420543785 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0145398292168767 0.0194786332752531 0.00323674437750702 0.00687256113725647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.875255055168332 0.878422583474252 0.900902963105758 3.9899285903607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190175658854498 0.024645392925199 0.00353914477499564 0.00827842710801082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.86785473832774 0.87379354152776 0.86554995882427 3.93051719242229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0250723319753959 0.0302454605756503 0.00349885955631024 0.00776608839570418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197461319485834 0.000589192028039705 0.00113310576576433 1.50546966209206E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201863536650062 0.00803978441694284 0.00121143048642969 0.00428032231915213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197458690512624 0.000676745309322975 0.00113327462917385 1.79976499276511E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201864522066937 0.00816155510612816 0.00121168954448649 0.00428885718998218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197519182488823 0.000920166983971033 0.00113403454768329 2.72045774646662E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201913954358845 0.00843265606589799 0.00121244933368207 0.0042986105849997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197947769385592 0.00151051551042406 0.00113765793842811 6.33196123092387E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0202260103060177 0.00893685061177199 0.00121574823704155 0.00426164635258181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0204455514301153 0.00407897011476408 0.00118273542848016 4.45237111089123E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.020769106809059 0.0114068674421947 0.00125522253348405 0.00427211367734494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0217567722923411 0.00671636119334979 0.00127528731410867 0.00012128823455322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.021795839773097 0.0130174718428524 0.00133270782254337 0.00333835814333185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0198134813501754 0.00128807155412745 0.00113886343369297 4.66536906483505E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.02024591472252 0.00875009446966408 0.00121667978798515 0.0042790432041325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0200013293779788 0.00230083916636308 0.00115283859113804 1.38722372483085E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0204085906165849 0.00963098813667459 0.00122914414606778 0.00415083108534664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0207797734803068 0.00440708102427361 0.00120670092162765 5.05379018640648E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.021076316740983 0.0117104883015791 0.00127660698155259 0.00421257257391765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0280544970591081 0.0129318598904222 0.00176979413337305 0.000442885553370675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0263976080489409 0.0197962983566151 0.00173262358362199 0.00432816629800474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0422529618745977 0.0213039996976874 0.00308526459061407 0.00122473163224892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0346296820685656 0.0269601921119946 0.00261943549173308 0.00431369239692534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.964029095425453 0.966854371479814 1.14749698737422 4.89062832555729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0127388682945019 0.0145209179913538 0.00143653780783149 0.00187232457434594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.964403434976494 0.96725249449909 1.1478663675659 4.89407317521035 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0126951237688079 0.0146324716291906 0.00141767389505433 0.0019558604604706 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.964523155038364 0.967381103178914 1.14822056542152 4.89545671404019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0127307455979165 0.0146235814655094 0.00142424178905991 0.0019582837821552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.964591369888731 0.967462756909084 1.14798097891599 4.89600396005234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0126687189089413 0.0146326780828399 0.00139880174769495 0.00196848487744116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.96412859894425 0.967140978712949 1.14643374951322 4.89225168272752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0129381033453479 0.0147977804118551 0.00137257302895067 0.00186936728559504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.961592052492098 0.964835888423136 1.14033652925998 4.8685325208473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137028792941752 0.0157496205403243 0.00135252231730212 0.00200671707469048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.965276462039442 0.968075327209501 1.14806591702329 4.90082174738005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0126521360664795 0.0145679163386703 0.00138195466961881 0.00188400015780655 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.965450407544037 0.968227780170984 1.14791077246852 4.90209310443591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0127053712458772 0.0146949903989407 0.00137163337196134 0.00190597819922607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.96512231238935 0.968009111195314 1.14696012096051 4.89967571026506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0130766223505391 0.0152035110478464 0.00135566149693742 0.00197385039610545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958623337471695 0.962710581604349 1.12471487318619 4.83922328251868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0178427581506107 0.0196074794332518 0.00149854691246787 0.00224889460991522 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.952420616936878 0.958733749983306 1.08336877002088 4.77548815947259 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.024612008513603 0.0267613155096628 0.00171446636265652 0.00337916598554237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486199078953296 0.482818976697731 0.397025809595676 1.33348674928551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0153410362104334 0.0105827552887224 0.00278202336729028 0.00178993925336439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486265894204819 0.482894735039064 0.396980128271313 1.33375106312806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0153480859632367 0.0106012013594307 0.00278249443674713 0.00179637871684909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486811092546792 0.483455171111528 0.397598802580786 1.33656150071719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0153539242344519 0.0106027841718268 0.00278324998603269 0.00179768367238923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486795333806469 0.483485045659051 0.397425280534521 1.33651451805565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154524848626452 0.0105518662294259 0.00282994777499005 0.00174429377062934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.489144851540466 0.48612771673598 0.398559245235661 1.34792065502523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.015644178232372 0.011186698590689 0.00275310527023798 0.00184053217917127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.490547470790203 0.487819296603432 0.396958980086324 1.35308086062721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0163465546265059 0.0127845542547243 0.00261140684503829 0.00217659534625663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486841921739916 0.483470452398996 0.398085709811002 1.33702242690707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0151757473206596 0.0106009900598636 0.00265859074875901 0.0017985462963181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.487794641677046 0.484461746300023 0.398527981550795 1.34124511328943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.015264578595187 0.0107363636446739 0.0026946879637725 0.00183586731440125 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.488091500413361 0.484999996336074 0.398200095650421 1.34268585798737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157585812622553 0.0116287873397249 0.00278427650274997 0.00202860335836481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.490270446763495 0.488263632002169 0.386310653718856 1.34369905351957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0196735784997001 0.0174615233762142 0.00286279955041464 0.00266091232823024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.494149814042488 0.49314369991825 0.365671971523184 1.34540582842786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0267054340531894 0.0251088731370372 0.0033347172262932 0.00394103782017364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.516018235261826 0.518735354266044 0.588591939645213 1.67054435943267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00787680996972158 0.0104293981509656 0.000972807432003105 0.00261454565448068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.515851964957333 0.518577402978135 0.588348762433766 1.66952269993809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00787163681524467 0.0104268522333846 0.000971886189428281 0.00261719753219389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.516052299068513 0.518809325389424 0.588352424172203 1.67054129579596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0078959418447822 0.0105555328625464 0.000975106276856102 0.00279318761893174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.516474950767922 0.519283696885658 0.587924321546662 1.67204944861699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00793196618724288 0.0106310583295292 0.000963311560907265 0.00280495130327746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.516513868959983 0.519604266370622 0.586671527237425 1.67046337616663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00887747079047524 0.0116250803957726 0.00095725606277521 0.00296548523679007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.514791054399925 0.518146827083382 0.583050677679927 1.65917181884236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0104014301326034 0.0136907136983923 0.000915067915421288 0.00351249208448744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.516058924081933 0.518802176823033 0.588181778894699 1.67038526044252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00791262323829195 0.0104934054501534 0.000974344483388193 0.00262720088901215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.516069769192585 0.518953600379045 0.587923271646193 1.67030927590094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00796576894350004 0.0107625859355493 0.000930371550450609 0.00264947773033628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.514934836817082 0.518082968875893 0.585133487898447 1.66263945157334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00878676115062881 0.0118554276893904 0.000935842098312364 0.00272379670894227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.512719846934018 0.516641647638277 0.571539930684686 1.63890065010119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014423994470277 0.018293101792214 0.000980788064967477 0.00326380888527589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.508785034624612 0.513832036514089 0.54865088653665 1.60432166855024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0212009487150454 0.0264012678867589 0.00136613441194781 0.00476367744103932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.940939665428492 0.94141715007978 0.513360793033119 4.05594403811498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0110234035864986 0.0101344767731625 0.00469171212062399 0.00248443747366478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.941325188841249 0.941826236120413 0.512987094064218 4.05866705755819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0109237445530552 0.0101342321521913 0.00464256413003915 0.00248797851197045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.941532170921113 0.942029452908669 0.512982196094706 4.0602638490753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0111089769240717 0.0100249198552801 0.00477637184341459 0.00238943437075206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.942337418283229 0.942826217910831 0.513008118160689 4.06648947183955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0110991992805666 0.00994833357382543 0.00471613067952092 0.00226017734039791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.9422757378891 0.942695546305631 0.512259076598508 4.06489606155507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120171307319568 0.0101010947039058 0.00458985523226935 0.0018945745184058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.943075739351286 0.943396519734919 0.51039419360685 4.06796146129539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0139170064197488 0.0111691688269099 0.00470588550896015 0.00202647358488147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.940981941696879 0.941410729855295 0.513137036467441 4.05581623396252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0109908082017982 0.0100569092920778 0.0046224611848746 0.00234683987563091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.940605166140053 0.940984616826622 0.512744070990681 4.05231648306483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0113517812142645 0.0100305930727654 0.0046835681602585 0.0022377781095021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.941274741944023 0.94154306362871 0.511177089271575 4.05510599882703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0125958063576456 0.0106892920610326 0.00478275174749657 0.00232287010956816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.939398603434888 0.939804470503901 0.502854386758963 4.03221362527196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019140172118231 0.0161274702213336 0.00496315918852849 0.00257949452265287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.93548801484781 0.936308337159196 0.486816018733012 3.98970967514465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0260008444131532 0.023340971651077 0.00498610227619988 0.00345035577335361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.578844300165902 0.57875753332641 0.475535314015989 1.81554549451457 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00971272030326912 0.0123750447295105 0.00156172696049347 0.00458002537666208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.578738725093907 0.578643533805531 0.47533371083899 1.81482972316099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00975867868795795 0.0124343809339954 0.00158009669897475 0.00465410362000535 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.57913686008203 0.579032129868953 0.475480066893026 1.81675492412874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00966136774644724 0.012386032157877 0.00150787677375442 0.00459559996071244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.579105036018325 0.578974495304707 0.475333182269144 1.8163008100864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0097030778117531 0.0124174849767427 0.00150457008024457 0.00453001491913927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.58045914015983 0.580199231172826 0.475827185191128 1.82197665683912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0104247321708908 0.012927561480464 0.00151510036395927 0.00432548681467881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.582558088905711 0.582091524964555 0.475983843383816 1.83032776105031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0118637115588254 0.0141779409509522 0.00153817970566965 0.0041943554297753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.579139871238026 0.578908372656631 0.475336528608272 1.81611097758902 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00983150546291798 0.0122273411552387 0.00157277822673076 0.00440222457730508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.578958597501171 0.57858132205189 0.475477037739208 1.81467219656268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0102201040039817 0.0122993738052068 0.00171877604185614 0.00430501817941124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.581303488653613 0.580808879294878 0.475791497511083 1.82487326420375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.010900052990416 0.0131615636319763 0.00166579995550926 0.00435942272187802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.585840776065965 0.584557574177647 0.468125376371137 1.83302286672301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169349744011887 0.0186455678942373 0.00186047542549556 0.00451066490995786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.590078986948193 0.587252343122137 0.451720197066315 1.83027183416976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0239565469149104 0.02544004050828 0.00196742501317286 0.00523737080226997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987766438616726 0.991559036588964 1.210810809476 5.14934260732824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0121246936300955 0.0163810065803233 0.00121065866435961 0.00249868823483025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987454765884136 0.991261106262671 1.21065188950798 5.14684272763536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120859338804967 0.0164125504741678 0.00120501148537765 0.00249370413152499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987352743112395 0.991170190812635 1.21060999233603 5.14610017649316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120287620536632 0.016436302376797 0.00118937776682243 0.00249052428184747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987594180403518 0.991419128400036 1.21041211193687 5.14798436080338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120618991573553 0.0165137339108139 0.00118933550215805 0.0024855672113436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.986959971709657 0.990827394185516 1.20824316117487 5.14168203784852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0125545730295831 0.0170529431060497 0.00117332730201045 0.00249784012144467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987549935792103 0.991619753326907 1.20458155572159 5.14486988517374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137149637574201 0.0179042791291076 0.00122889742191211 0.00249835817085118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987831436400313 0.991573015860744 1.21037841367768 5.14913028485828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120273051333422 0.016504807574441 0.00117784493234634 0.00258825951157441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987472633265681 0.99119980204474 1.21022921410939 5.14609787619418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120989851429309 0.0167537797665901 0.00117022702771938 0.00269603340723027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987134633174926 0.990917330073446 1.20791010225785 5.14165667380979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0126334027268091 0.0170200819985494 0.00118895957360094 0.00256823431803276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985692816619053 0.990882821849175 1.18742385386743 5.12414660610899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0171577007836477 0.0217927997224683 0.00138528914148637 0.0032150686517197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980293373799586 0.988484308071935 1.14716008955906 5.07447277561557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0236310780897484 0.0290489924863632 0.0017710732570185 0.00454552737339899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00904920510991092 0.000394481660553798 0.00028162473862947 8.42903154769035E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0145399764652447 0.0069774739149331 0.00453481873584163 0.00167459626300109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00906399292916781 0.000486850145845362 0.000281977751379445 9.96180915032845E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146412215367704 0.00695191768840988 0.00461809289150484 0.00163470245245604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0090841330395597 0.000704784619375431 0.000282631951044665 1.56380924156212E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0145758137691426 0.0073330229688359 0.00454719932407531 0.00172051484066477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00914002125562655 0.00121454237132217 0.000284860047578943 3.92534082575257E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014290819218958 0.00753501865527172 0.00426095942501644 0.00163538770605494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00976977453167286 0.00341431784839324 0.000309243503737918 3.03607415287867E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0135369376610439 0.0095263506597467 0.0032972187884434 0.00172862076367052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.011100210678639 0.00566632970006412 0.000360033768833847 8.5221833169945E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0143518330861389 0.0115337250380384 0.00305204795803435 0.0017680489835484 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00914076491335976 0.00106735863652764 0.000286146029590601 3.33315275239441E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0143936099436083 0.00764143181883941 0.00436024625427812 0.00170916833075822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00927787496572567 0.0019808684803895 0.000293464603839676 1.0701126448218E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0139601136785697 0.00830969442077047 0.00391813229355133 0.00166088833923604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00984459706406448 0.00386726565630296 0.000318995412566593 4.06437283181843E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0138115944723969 0.00976224516911624 0.00340531498578711 0.00160266833911545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0160017218890748 0.0115053362717531 0.000577607145784748 0.000376726493015693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0174123126813036 0.0170489756922508 0.00267741413877899 0.00214945926867022 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0265232349900509 0.0192071384686196 0.00109543687988408 0.00109851190085005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0241128005490916 0.0241811251665291 0.00312095227648617 0.00307438627813782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00653764691709538 0.00335247224241142 0.000291845557351739 6.62288179000869E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00761381841678457 0.00969951647265167 0.000658624988482083 0.00536266238809072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00653031989369069 0.00335005029283789 0.000291534275997455 6.62459636581753E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00760608474485481 0.00985117438522361 0.000658457013555787 0.00558575817612844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00653246166418021 0.00335879591382696 0.000291832731482485 6.67980853908755E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00769036142971324 0.00989361331867061 0.000695102334130669 0.00560529707310763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00659491416323481 0.00351751278227567 0.00029470035873062 7.0575168908746E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00778235292883452 0.00987970139222144 0.000705283691385327 0.00549953144758995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00814328589163759 0.00559464172275469 0.000345859610989349 0.000121015573903648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0093171398268671 0.0124375265810961 0.000706818880862374 0.00631947603928804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0106447700895865 0.00827046981816008 0.000448891572547188 0.000216062904584318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0117381103536959 0.0149635223904267 0.000780463114404499 0.00649399573614686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00660245840496454 0.00344601860083966 0.000295056823551121 6.94005271570262E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00772874699955991 0.0100283831703107 0.000689256416673662 0.00568607878028726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00701812683032315 0.00406421398864131 0.00030928412626049 8.27187323316746E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00825308648769309 0.0107090349843015 0.000738460984902356 0.00578316467792516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00880718175211525 0.00602968828252474 0.000372241954660307 0.000135124791791611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100707293682226 0.0125861805502299 0.00080472493538863 0.00591634632974981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0186785101160672 0.0152799925604581 0.000958814691942077 0.000616450203699492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0197365557641345 0.0215055938122874 0.00141150568173042 0.00622405902844414 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0296325231585841 0.0249484772376369 0.00198543376599516 0.00147038949212053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.029366302279721 0.0293778431356083 0.00234639712216756 0.00559703558471871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.918198351011844 0.921799814834714 0.96936815189197 4.36713171432538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0106175873328677 0.0186181586147701 0.00317224220601679 0.0102353576828352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.918532939672718 0.922150624085352 0.969413577976828 4.36977753715671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0106185271002947 0.0184872013077363 0.00316154620783681 0.0100165696068804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.91836101314566 0.921986269138924 0.969551578338103 4.36873113564029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0105746616773324 0.0186265841122625 0.00314434245063017 0.0102459042275616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.918238275706859 0.921879801670015 0.969006596192278 4.36746462463948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0106610788415297 0.0189063369224123 0.00312606996678154 0.0105189580700285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.918941292309629 0.922587034700243 0.96759295324656 4.37086736185931 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119283667942775 0.0193877467849764 0.0031287597587546 0.010031780264347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.918976394959121 0.922705319237628 0.965134221203504 4.36807112548191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0138770434901524 0.0209553320807497 0.00312251331551679 0.0101342988988872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.919058765810608 0.922669422062605 0.969461593307732 4.37356044635453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0105395408995594 0.0189012078441404 0.00308618638345085 0.0105449703647973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.919802619304573 0.92334557016919 0.969190620759945 4.37823395515942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.010700275291807 0.0191682007966147 0.00300950785613863 0.0106780053573546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.921290187494457 0.924622485480584 0.967932447368982 4.38581898722218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.011888303903574 0.0194738502577171 0.00299792590870131 0.0102298619314277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.923261137512933 0.926566709990457 0.957587761984983 4.38676309467916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191377729051218 0.0251422691396211 0.00314381062552509 0.0101865879002048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.921138901714922 0.925318133963382 0.933215238476847 4.35441745344013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.027435017999082 0.0328040711980878 0.00379616787339253 0.0113953474937406 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0185662858161967 0.000586994759646414 0.00113030858187846 1.23657495816305E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190411374058726 0.00643489164697367 0.00124510298284176 0.00284092647451343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0185780678456501 0.000702962775670124 0.00113193402272087 1.60323045331033E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190519977915989 0.00655326831211766 0.00124669226176246 0.00284312981652978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0185952533987141 0.000976350666525012 0.00113408366282009 2.69096652161907E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190674783707743 0.0068420694141085 0.0012487750118632 0.00284681823559604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0186491598679134 0.00164015096630671 0.00114015078862372 6.9895196977272E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191140548840925 0.00758420769654318 0.00125456909657243 0.00290345027396116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0192388785459259 0.00453678781192105 0.00118871677984565 5.31018427755958E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0196147150715704 0.0103760562838539 0.00129985478938539 0.00296973836112287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0205247772591489 0.00749942954139644 0.00128276595030962 0.000146751057116754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0206854194853162 0.0132434122625186 0.00138835809296271 0.00316087569022257 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0186068531855763 0.00139077080836355 0.00113223525050999 5.04479847526667E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190755798110228 0.00721468376380442 0.00124565006160539 0.00281343336294788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0187200336092945 0.00254790212071453 0.00114060335926669 1.66077590200806E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191692268007763 0.00849935026193417 0.00125212804392559 0.0029642714920746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0192940076109433 0.00495557183230683 0.00118660986684532 6.35818038338471E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0196564262692234 0.0109394708848244 0.00129180174945812 0.003187440779682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0261924344449739 0.0148023242616836 0.00171988879549534 0.000587946277029383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0250148427286916 0.020798634930999 0.00176322664520749 0.00416577411618716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0388074481949818 0.0248337518694428 0.00280584824785847 0.00170306271056763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0332502999202878 0.0302765642034488 0.00261267574820647 0.00534163834390302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971742348648336 0.973437879520441 1.30314714563694 5.09140670774052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0128137600641739 0.0116944124663603 0.00240100180780432 0.00125003253413072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.970929665778106 0.972618675371274 1.30270900769513 5.08463276095952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0128706844317774 0.0117892497883445 0.00243293259031833 0.00131272024664639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971422147274436 0.973097673529564 1.30322045017543 5.08888895148672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0128610078283354 0.0118013722338125 0.00243187314482205 0.00131243394269665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971457890801241 0.973108474149828 1.30281619286467 5.08858489444658 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.012791700634962 0.0118259339070238 0.00240909353770032 0.00131084408498176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971846209950957 0.973542065024388 1.30202995440912 5.09008095804268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0133665737456423 0.0127124703744028 0.00239256431974259 0.00151663107408105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.972862421527496 0.974567664307857 1.30040057271674 5.09450606034749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0147920482451374 0.0140247605020338 0.00238086445375556 0.00160952411312823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971186396447915 0.97287289835223 1.30322959648003 5.08717587767825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0129354916719373 0.0117383686045147 0.00240126143247549 0.00126892103512426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971181609836779 0.972877243716144 1.3025554652759 5.08644040720572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0130244505654918 0.0118789905237123 0.00235624777496749 0.00129364102782402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.972243079088389 0.974068732187363 1.30284923329284 5.09479902488644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137065022678008 0.0126042258212613 0.00237734755944888 0.00137569666533559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.970983774117019 0.973525330084939 1.28784994882464 5.07020981369637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192345190191744 0.0187176960368469 0.00237536239319267 0.00188997564089554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.96972615720447 0.972768812616029 1.25642251696123 5.03286292804256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0264950922378961 0.02651725354627 0.00278093334136479 0.00280444579044832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535388752347414 0.534086433034646 0.441951882994247 1.58457279825665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0103131078151326 0.0110666395382028 0.00144192908845079 0.00311040663758986 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.53523887092041 0.53392388779768 0.441761821864017 1.58369201148016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0103529056123546 0.0110389161458126 0.00144980700469491 0.00310164169583662 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.534498431968186 0.533170507090914 0.440933974607731 1.57968711421701 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0103641281949917 0.0111243916903915 0.00145200767198592 0.00317258514467913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.534994555889027 0.533661912806405 0.441496341540283 1.58227931178537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0103707739195579 0.0112600600865998 0.00145404367281583 0.00324223679639976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.534671299694604 0.533563001287987 0.440588871985122 1.58004822053625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0111019373253381 0.0126391295283191 0.00146054202391305 0.00351713825030298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535524924049803 0.534593515777549 0.438704418206964 1.58145846358985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.012840532722945 0.0148021389512033 0.00160331015501768 0.00369243280310398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535790737706095 0.534488072778301 0.441556199607256 1.58583778657926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0102220697918434 0.0110372263059398 0.00132634682418147 0.0031216777526805 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535017251351795 0.533745079114871 0.440966102545206 1.58187270597847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0104390836896434 0.0111876070153255 0.00133763144390627 0.00312294633166975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535390531711308 0.534261774828487 0.439966227761671 1.58228048498159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0115281141861362 0.0122854703360422 0.00154444781694283 0.00316613358810896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.536905377421811 0.53576053246911 0.431201528460584 1.5773090470058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0184278151314741 0.0203303984576341 0.00187674234717743 0.0042902761748111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.543151998280734 0.541454475626087 0.417989949716932 1.58830901223504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0268801970732388 0.0286427145898889 0.00240430081272882 0.00535075901437585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.417776753475659 0.420282852016657 0.434988732564023 1.14433968875537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0067720428521075 0.0142224541877567 0.000719060954487649 0.00662049936995932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.418247126561937 0.420722456713668 0.435274313939152 1.14605818954183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0067810350339098 0.014074935316073 0.000718915393106517 0.0064879418474034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.41854413434692 0.421000393368542 0.43586580507791 1.14761192308085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00685224234669287 0.0140435291058893 0.000740778158408316 0.00648209880960031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.418126801883911 0.420568074136897 0.434450346230497 1.14467111596619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00697225520586635 0.0141013123249608 0.00074698819083011 0.00648863161860217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.417677227685619 0.420339588355045 0.432461380473697 1.14050091375008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00827875365860587 0.0150097162011392 0.000764059326352095 0.00633845637517597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.418631068505177 0.421354439613022 0.429759374230342 1.13942044673712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0104229489634557 0.0167084721939481 0.00084732439815019 0.00629172595154111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.417690462887674 0.420149156328946 0.434476514446084 1.14335372174387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00691451627196234 0.0138681316373962 0.000743452805441594 0.00623560965250584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.417487892897048 0.419980633026701 0.433729414144975 1.14163874050396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00725516708605546 0.0142788489237202 0.000788421681257814 0.0064540746457533 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.417414875195223 0.419988553891656 0.432069017354122 1.13886496975841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00856181653796473 0.0150058780572439 0.000861597247180974 0.00601528159851632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.41781769287824 0.420035039098317 0.421846939855845 1.12417468411819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0163036778217856 0.0214023310488179 0.00121316863975711 0.00602905200293965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.420597224824137 0.421846980580144 0.410049420738481 1.11501966352585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0244525200826364 0.0286148485345855 0.00169365472312338 0.00610619413802003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.970190591874234 0.969672980920642 0.51056466918772 4.2693719339693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0117820194478531 0.00730992980575988 0.00566445867786819 0.00151534321447437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971298026439348 0.970780907425273 0.51048619455773 4.27785691062767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.011641801110556 0.00732731716216255 0.00556834608980312 0.00151718493540904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971218292858133 0.970703896962352 0.510570397318313 4.27734489210932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0116519523410957 0.00733913061103219 0.00555876195747073 0.00152023470426871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.97097666951246 0.970467142078529 0.510698997423335 4.27560209025994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0117597968313697 0.00733433352102761 0.00558424354112893 0.0015003498979535 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971976815911477 0.971405768775845 0.510659693974512 4.28189684360015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137482072752647 0.00841905431273981 0.00564349148525378 0.00128166599945494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.972122688109677 0.971565824177764 0.509604298833822 4.2806225949542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0165876036140792 0.0104586736918489 0.00585022892514271 0.00119930930527285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971241903660825 0.970698193115005 0.510185864763206 4.27691146425213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0115490488864811 0.00740627784418425 0.00543093535481206 0.00152237386481573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.970919386314326 0.97028150298412 0.510091088705741 4.27336960125029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0118325909034096 0.00769281159469262 0.00532292273415024 0.00151623955650918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.970905887151191 0.970123981166093 0.510136695507092 4.27108375127056 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0139102535424881 0.0090325187432778 0.00559980470131379 0.00144938916873241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971107437358313 0.970491526993205 0.504601358697431 4.26337003802971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0232602904072758 0.0180182068827949 0.00616410140622958 0.00208563861282697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.967292833051084 0.967617596160905 0.493853385705284 4.22709062252257 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0319059915973651 0.0274961051681224 0.00627512680202352 0.00321423909604203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.62029881921953 0.621673182228595 0.501205829738041 2.04603087654617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00728669329186287 0.0139978148380225 0.000990243093153107 0.00737529399105755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.620166203533223 0.621540376872457 0.501064343062122 2.04523427024357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00733645474861149 0.0139524082457235 0.000999795926383954 0.00730170631513331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.619796969812938 0.621164722628275 0.500694313320237 2.04299024224592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00735652384837263 0.0140189697781495 0.0010032700933998 0.00731257716205925 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.620295885775124 0.62164980577334 0.501058147610268 2.04568480366552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00746003212826001 0.0139371936202751 0.00101557802047553 0.00717067885722107 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.618941986635985 0.620386491005801 0.498268461354127 2.03516687995754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.008905067446264 0.0152284610286329 0.00118097377766451 0.0070161522015054 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.619962516657863 0.621461732009739 0.496886387989507 2.0370944748767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0113119061966438 0.0175526685745973 0.0014009455247802 0.00722322770546237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.620625238810913 0.621970415181234 0.500643422730938 2.04682726934881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0072979977514265 0.0143186933672563 0.000983332542404771 0.00753198038246432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.621814177550859 0.623160886440903 0.500930730740125 2.05260500012214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00752381900131522 0.0146573294246105 0.000987677618290114 0.00751202387670977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.623798083570031 0.625167105223637 0.500446455395446 2.0607670237245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00895602763200881 0.01599017724395 0.00116510480852521 0.00756341168089714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.630254430557852 0.631368189304279 0.496007036274302 2.081436990849 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0173750576694243 0.0235364397410564 0.00180105075912674 0.0074799176657588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.632255696295964 0.633019260490277 0.485895042900553 2.07550625065041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0263255300500754 0.0321082143234904 0.00231255136503223 0.00817713621708707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11031411607903 1.11419786569988 1.27988151721684 6.24410792448453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00929946017299971 0.0154535431807582 0.000802936974271448 0.00372181419171091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10959406893129 1.11346946988878 1.27950297732735 6.23728131497202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00932395018907225 0.0154181478713844 0.000804565893886241 0.00370956103673556 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10992878460699 1.11379571339779 1.27962036431228 6.24031265326278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00934429422694165 0.0153467451752617 0.000806186022918484 0.00367509167701211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11015918154847 1.11398897377585 1.2796318917033 6.2421003246114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00944637032417346 0.0154974398848709 0.000825338417993883 0.00382399272003714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1104912339104 1.11427821987678 1.27949635934794 6.24394571400323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0102239814612478 0.016156410722661 0.00082884984593079 0.00400835037121035 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10897903873842 1.11281645048943 1.2757057595565 6.22559674087214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0118304269928026 0.0172960392785771 0.000894264708234392 0.0039073619827167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10885989377532 1.1127389502634 1.27929632566015 6.23052022102702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00935320198261515 0.0153611888276741 0.000822502353265973 0.00357879521832592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10929386884528 1.11316663840971 1.27847164988184 6.23346723300953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00944843202403011 0.0153586021917128 0.000802323441517459 0.00344392384154975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11151607965007 1.11542557336954 1.27704398378711 6.2514093502352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0103519118858501 0.0158930217390993 0.000868159546048197 0.00356647376403519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11143492506895 1.11577019781853 1.26191866079071 6.23569885525966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0171843483274263 0.0208915292321205 0.00128025311081543 0.0037875418575126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11048417315323 1.11579539496263 1.2320598488898 6.20714788122382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0248978598192836 0.0286641955384521 0.00174944516683424 0.00507378348413296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00794769199042032 0.000472433127818135 0.00021884928777258 1.21333794715684E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119245373421638 0.0084433989758063 0.00323342360727407 0.00234650946781348 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00792550935326333 0.00057863932214663 0.000218249791234835 1.50101165389094E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119021897613209 0.00842613846566854 0.00323290932565668 0.00231881399298738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00790832699663568 0.00082492007181911 0.000217975411017169 2.31381277862937E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0118847593210913 0.00864526823972466 0.00323272002721505 0.00231929631828122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00789479134988797 0.00139095823453595 0.000218468862752644 5.45460112999557E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0116177411086589 0.00900174298186371 0.00302588457980542 0.00226418656394343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00846983309368358 0.00379715159134381 0.000238438429490078 3.86555800640677E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0114410075430565 0.0112310655588802 0.00253836090649695 0.00235416081913421 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0100241779007731 0.00624608076036154 0.000290433016691887 0.000105851522116153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0124265944162759 0.0135348746565795 0.00229401934978192 0.0024351274734694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00794305213108838 0.00112326983379962 0.000218860348636506 3.62267435564647E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120028940697474 0.00894585424820119 0.00331210189894337 0.00234325875666855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00807719188741903 0.00205072131274573 0.000222848036344324 1.09811742552491E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.011742964611323 0.00983371070757279 0.0030311402875125 0.00239764934057623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00897413621112321 0.00397336976125843 0.000251631705796171 4.08640917802508E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120124625004898 0.0116439313204801 0.00262507234927813 0.00251350238030801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0168521073168762 0.0117397147423508 0.000583159186332573 0.000369948633923544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0177979518363318 0.0191499725867194 0.00221946548336187 0.00319789718443274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0284298824730941 0.0194456021880765 0.00125252619901548 0.0010564661065527 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259163553956336 0.0261136105618132 0.00269335122364495 0.00403825472909766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00711558465196052 0.00378181570537102 0.00029714288426837 7.2641037811285E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00831844373636717 0.0107482357544037 0.000702644474358646 0.00526160771736709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00712802181004347 0.00378630690348537 0.000297348068064352 7.28493999056E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00833193871799452 0.0107602366922343 0.000703360926152 0.00527332621046192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00714372278030889 0.0037890853604645 0.000297584892664625 7.31530012364055E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00835332255646943 0.0107684561640243 0.000704200303541046 0.00528555219677136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00721398108650989 0.00388325523817565 0.000301347817648013 7.66140085692517E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00849762843813971 0.0109235632099586 0.000738572874127207 0.00534409277022573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00873507478109958 0.00562178218632787 0.000360375477776773 0.000125331932304182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0101469618145858 0.0125383529501584 0.000826335156698306 0.00545113078006743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0113717503194253 0.00812428749495224 0.000481745834399187 0.000219287365724543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0127493636622928 0.0146774216850394 0.000930756437587998 0.00531395034826717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00717525308023393 0.00382322264431005 0.000302124434452356 7.45121954113255E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00844175590084852 0.0107343603964646 0.000734453534896138 0.00509761710771787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00741204921760844 0.00424677977319024 0.000314725068694874 8.57289109340207E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00870871277188129 0.0110770854151158 0.000743947740006821 0.00507281549720356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00876003501395918 0.00596622711931176 0.000376458238234372 0.000134808457369703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0101044320887863 0.0126419975796627 0.000800930375408874 0.00503706102052038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0176949745871927 0.0147200045387729 0.000927696608314095 0.000585149951086906 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0184975493840218 0.0209393295874561 0.00128405906026726 0.00543203558970099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.028725553239783 0.0242334514733054 0.00188640902796293 0.00139213685730437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0277137796558873 0.0290763500964412 0.00218608015871342 0.0054454660898214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.917930416636168 0.921388428010429 0.968695379348733 4.3622997207459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00960028453883467 0.0191892195468789 0.00182807604723361 0.0102713178663392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.917621375425263 0.921088786820869 0.968602088217589 4.35999543096632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00957808119324973 0.0189646436158847 0.00182237841758995 0.00994703446083802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.917282285668612 0.920773871845531 0.968251016169601 4.35734069801545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00958995867695694 0.0189991610857995 0.00181941002638635 0.00994979216897514 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.916612627509838 0.920103354238348 0.968178736453676 4.35242504431922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00964551585775138 0.0194915002720164 0.00181954366568457 0.0105039431349337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.915967110383557 0.919567864569776 0.966465619991373 4.34644506568188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.010530032324124 0.0193468059238592 0.00189699603609711 0.00951140995020397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.916762566985354 0.920595115605434 0.96261967416927 4.34963122421692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0121226009330851 0.0204003138405709 0.00191336896329159 0.00930537087336465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.91713752248363 0.920591270138496 0.968825065351909 4.35667591173149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00963624883942048 0.0189813701147505 0.00181892949346807 0.00995465692358516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.917087898085942 0.920533411428517 0.9683804300115 4.35596169486826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00979702800788563 0.019268983483451 0.00181936628652471 0.010158014927687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.914538174785649 0.917990614078685 0.968205043678653 4.336935588906 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0107641853679366 0.01942661121269 0.00190827694090311 0.0094092158810248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.912267902194414 0.916611468800047 0.952984740776762 4.31135276977441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.017754678784301 0.0257181402596623 0.00243354423813809 0.0104958074394866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.903494598959413 0.909923758876805 0.921601194713359 4.23628794948678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0256870400164356 0.033770827848955 0.0030234135169132 0.0113946599124223 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0194833511306235 0.000715800210085436 0.0011856992878084 1.96536980083196E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0199536477388115 0.00730695106948499 0.00128303034770232 0.00344154610017689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0194852716631279 0.00080008733551176 0.00118679835924043 2.34145281664735E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0199551273077947 0.00738095778435998 0.0012834977191655 0.00344487605615877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0194911511279275 0.00103102866092928 0.00118837868505328 3.5119497870926E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0199595159047401 0.0077130178303195 0.00128440599209538 0.00353900925618737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0195160725756117 0.00165101206114245 0.0011929893758321 8.09952602094253E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0199773306427282 0.0082942988215268 0.00128751047097622 0.00355053011519784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0199853415451364 0.00450433975983291 0.0012606744759843 5.64764825027941E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0203666945554685 0.0107757800596514 0.00134446352253389 0.00356443277288047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0210911516382018 0.00743670353294457 0.00135127297210689 0.000153993996623066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0211912643953051 0.0135523640515421 0.00141475342688935 0.00373421826791662 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0195996864775987 0.00144402343538241 0.00120968099826893 6.35899386009247E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0200589672961601 0.0080407045975359 0.00130713001747307 0.00347501960256868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197547390849568 0.00259338993379694 0.00121670752283214 1.91453021028281E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201895577662368 0.00918117955326427 0.00131479445202766 0.0035770002316654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0203835161891074 0.00501214637691875 0.0012518907979887 7.00148192289902E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0207260261091131 0.0113768178596571 0.00135059443790641 0.00362509886287038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0277188572929521 0.0148489041941351 0.00175979436908234 0.000625721579877909 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259859960203435 0.0206274091305486 0.00179895087828965 0.00450425729767226 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0429728194754936 0.024712839872088 0.0031241091966554 0.00178163144100875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0344430382757997 0.029534300092811 0.00272408746700575 0.0055578717966283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.974461412102658 0.97633286043098 1.30559089211333 5.11421756280934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0131247089074777 0.0128454462783234 0.00213351385200524 0.00137044040104615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.974461412681843 0.976342314365686 1.30558528286931 5.11426193423414 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0131643575197145 0.0128515244967285 0.00214561660259216 0.00137122333852518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.974059323407432 0.97594682751096 1.30504084908707 5.11064812840791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0132451694002825 0.0127696415789017 0.00218006065300588 0.0012979143899335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973368926894181 0.975259858109108 1.30553578086784 5.10581858585038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0133707837757487 0.0128071518318428 0.00222608363921213 0.00130193332349666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.972312591734801 0.974169685435547 1.30282286254884 5.09470497480565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140777871594415 0.013476107113103 0.00226138560889138 0.00148349771180565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.971560753119081 0.973436037279038 1.29871413678918 5.08421434904194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156051830271722 0.0146673746964066 0.00234209026250387 0.00154809127267569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.97383026107927 0.975703811814339 1.30484688164037 5.10869583470961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0134001005848464 0.0128926830171003 0.0022362162839112 0.00135433049357854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973612837365283 0.975468573149578 1.3044746694914 5.10668301291582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0135878860340503 0.0131422907985084 0.00232960634817103 0.00146721476966843 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.974032192225423 0.975900452438274 1.30250717489651 5.10799856419799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0141199955057635 0.0137457110366136 0.00228032346780335 0.00147489297989132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973713852375797 0.975583255679206 1.28058341539054 5.08409845349175 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201349627933166 0.0194257430185646 0.00248096202287441 0.00201081437614215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.969979585743784 0.971911996483727 1.23432918858106 5.01624806801901 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0280806102010635 0.0268147540225352 0.00296432279379429 0.0027901445442668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535853486244205 0.53450857921383 0.441233159378003 1.58504575180823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119425736897702 0.0117558818942211 0.00196572267101087 0.00307548224905935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535812043677153 0.5344510673035 0.441275796981041 1.58482318941063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.011938888440855 0.0117335024941763 0.00196035027293306 0.00306885065662413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535993616463003 0.534620606758107 0.441294781734108 1.5855494486588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119665475781842 0.0117108607989737 0.00195763771663981 0.00306330185168179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535957456342515 0.534581177493211 0.441257267524776 1.58519846612358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120484969083481 0.0117246398621642 0.00195381648921987 0.00306105529316511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.534851509284554 0.533553694486714 0.438802806589823 1.5775665660453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0129215277297227 0.012636419888957 0.00207774034867938 0.00313517387853943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.533193884362703 0.53193499984115 0.434637012361164 1.56551322115874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0141727503395994 0.0148578062338934 0.00204538569685499 0.00350414231994595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535562979192885 0.534187637094768 0.44076242938975 1.58299316732097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120729305757296 0.0115371764887338 0.00204362567034485 0.00290885322175524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535960169490259 0.534547367899306 0.440532181009763 1.58411377755131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0121964251963048 0.0116613924824593 0.00205046677812867 0.00288241789020045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.537696686399762 0.536262769979567 0.441419046601383 1.59179802930671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0127710137871922 0.0126603743524529 0.00200120400874004 0.00307205805084682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.542580946356922 0.540792709981296 0.432587060788312 1.60126809078084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0180298457763256 0.020315501797392 0.00182034267041267 0.00431574806186177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547992699546863 0.54528101665268 0.415841103281913 1.60518601035217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0263839261164076 0.0288629605582213 0.00248612204172581 0.00555866667366645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.415393621279625 0.417524549430709 0.429913785252467 1.12885329677958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0073018818146974 0.0133753039051734 0.000654229661616059 0.00488750067814693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.415804745647446 0.417928129170771 0.430268272656212 1.1305536856048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00732392895642445 0.0133088714391858 0.000659778633558782 0.00485915624326216 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.415881242517702 0.417980255235112 0.430502824987979 1.13089395167094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00733803958598721 0.013458574231396 0.000660255877917629 0.00504785432215745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.416299637658457 0.418357343942624 0.43066874140513 1.13233631995246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00739541550454439 0.013500955730263 0.00066374404516493 0.00505554009710809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.415049196329592 0.417194734209562 0.427629772374753 1.12474724877248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00823943418919621 0.0142248170788572 0.000721125510103664 0.00484582180685617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.416045768264446 0.418218079322808 0.426548067880437 1.12605320216267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00996032497983508 0.0157480636923083 0.000821565792846928 0.00488951500580578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.41543305748155 0.417579946875546 0.429683294701998 1.12881694534984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00741842353238437 0.0132976137408363 0.000656142901009733 0.00485633957147461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.41637434899628 0.418565947306324 0.429662132124642 1.13199209607937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00768803431408667 0.0134290228518394 0.000688508673872276 0.00485362238598451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.415776471640138 0.418086284218021 0.428546742455629 1.12850343368547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0087076031853675 0.0143707810010059 0.000691173086261492 0.00498550332144229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.421502940514117 0.423436219557498 0.422935416595423 1.13784680019395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154864720320976 0.0210687367769608 0.000970490974074008 0.00587939667553413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.427942853097844 0.428628259810241 0.413669647888326 1.14586347513768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234888087482418 0.0284979203996463 0.00160029984155352 0.00648123564343495 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973263819543246 0.972624987726442 0.508779627817759 4.28839862806665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119526383657178 0.00835241177278894 0.00539607637886551 0.00183033570425152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973127370114091 0.972503744304036 0.508755902814859 4.28742656621438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120439775138894 0.00837397625380225 0.00548580389289254 0.00183339872186318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973110933095189 0.972503450601821 0.508734446056158 4.28740334029971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120600117908922 0.00837576532463904 0.00548975908275585 0.00182955110284868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973000409431537 0.972427536235945 0.508769528056165 4.28686082338041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120414753450023 0.00842745994349166 0.00546993586693127 0.00182539035384383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973296043835921 0.972883306897151 0.508239022395961 4.289596561454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0132634217408584 0.00942671948804752 0.00545370494459942 0.00192095386071657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.9729340875751 0.97267295906172 0.507780379553706 4.28660939107784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154284244047367 0.0111153597749286 0.0054841649605205 0.00187902526558133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973475004336649 0.972812029260639 0.508829695435394 4.28989419866257 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119307150461601 0.00843675777032714 0.00535682956239871 0.00183631677727851 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.973786322426951 0.973104130318921 0.508547146086715 4.29189914811984 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0122292537039836 0.00872412185974625 0.00543726111002139 0.00191406037419581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.974711585202014 0.973974611178696 0.507550544692142 4.29731602453045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0135691232967243 0.00976869710825965 0.00540799155226185 0.00199570705107779 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.969691927656965 0.969435766387206 0.502692436553046 4.25420120991213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0213706939676153 0.0165106485120421 0.00532955229373041 0.00197088739302636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.959778601032745 0.961372440546814 0.489134930724844 4.17676197462269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0295433130346802 0.0251121508052707 0.0058133069298047 0.00311408325006616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.621873600447006 0.623198433852935 0.502821695308427 2.05391279755694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00824811552963114 0.013778844481956 0.00113621524227671 0.00617901229971749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622218122751014 0.623544236465996 0.503007713660731 2.05579540098438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00823978807400738 0.0137906445308137 0.00113319977748871 0.00613344646240189 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.6226029347087 0.623926644912234 0.503141501682319 2.0578061302312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00823497275850275 0.0137549648985918 0.00113107728884624 0.00610482742857955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622699784253371 0.624006176353442 0.503156269903155 2.05816730567229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00831903165901366 0.0137990164467509 0.00119346208933114 0.00600289458751979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622522294140664 0.623825331747553 0.501638470849789 2.05487126834475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00921786270470885 0.0148602660880438 0.0012249793234635 0.0059317979868617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.623019253153601 0.624279678709219 0.500031516722776 2.05407652749555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0110900451568459 0.0167025736848988 0.00128079985744061 0.00590032249153473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.622932864144381 0.624263631924463 0.503657209654013 2.05996835659962 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00826499325771383 0.0137470229374485 0.00115209534584836 0.00603394111961803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.624172261230237 0.625520647121782 0.504938728602512 2.06739283315991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00833845108550026 0.0140717039896263 0.00116285420818569 0.00600851342595854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.626004568911428 0.627428558437376 0.506310487760214 2.07744939129634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00947830514081742 0.0151367129050773 0.00137521438878721 0.00588239935812159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.631160303397048 0.632985534017235 0.50197123647101 2.09706174858986 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0171449560035776 0.0221181490858314 0.00211238375444882 0.00546549437146961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.634027619099419 0.635815492304278 0.488128352390783 2.09542039817886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0251444943369338 0.0305535372576661 0.00239802771557795 0.00633743506545423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1122133278033 1.11628425069823 1.28184665890123 6.26255048634364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100893974377151 0.0170618569133292 0.000828696158404462 0.00418794084520505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11242647600287 1.11650309336339 1.28151437308591 6.2641810090079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100895793940855 0.0171053362543803 0.000827916010023644 0.00419592378912049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11249080580774 1.11657076514274 1.28133890991429 6.2646211090437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100866561193445 0.0171402751757308 0.000826978079853751 0.0042018506751638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11250175870825 1.11657942916851 1.28112664747082 6.26455747869007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0101668960944623 0.0171248087851708 0.000849142851808735 0.00406383865253526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11258999775661 1.11669978429306 1.27869113453396 6.26339680656657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.010784183751563 0.0175303988668704 0.000891070862443313 0.00403295505663252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.111475458371 1.11562379905275 1.27359643991903 6.24861588515924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.012259545073697 0.0185887519470213 0.000930344653361245 0.0041763448910296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11174362304734 1.11582198024606 1.28168982972042 6.25841702552681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0101504221361171 0.0169892980324267 0.000849343855684399 0.00402880799078954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11103959164424 1.11511282607039 1.28128946096528 6.25197755772498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0102313875984575 0.0169511506754544 0.000853634901204607 0.00391338035339767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11063717728506 1.11480768953639 1.2794851430879 6.24756073649321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0109299871720003 0.0173652792008952 0.000937234088951134 0.00388430916364728 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10913555704889 1.11452085983174 1.26081216198027 6.22538728464063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169212549925401 0.0228265660851392 0.00126880541761912 0.00423295223890171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10334142332737 1.11096148723996 1.2217200013476 6.15895870427308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.025191518565235 0.0312311447377482 0.00197207711859395 0.00566899154555036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00844156398491925 0.000535056929306515 0.000245880045690156 1.36521014663544E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0113438877390573 0.00861154783591864 0.00244697664513622 0.00241548853562995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00842229707090424 0.000617923329468277 0.000245355488570032 1.53738605462124E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0113221801134913 0.00870502330659964 0.00244658389837006 0.00242750051100099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00840902594936311 0.000818563577217552 0.000245137109105497 2.16470723675376E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0111426969063862 0.00878465688568586 0.00230930024884176 0.00240261167913455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0084019861064282 0.00132501035842795 0.000245635230574623 4.78318063897221E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0111425447655921 0.00937303419588352 0.00232580419975076 0.00242771969714943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00883371366547228 0.0035948679780264 0.000260721766944833 3.41169339075486E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0108295751062276 0.0112647562017992 0.00182696935297247 0.00243926440905623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0102000949274489 0.00593407323829971 0.000306941706489813 9.49934366206242E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0118283970253964 0.0136783201233231 0.001824413699229 0.00264076187357309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00846243199490252 0.00116543452249936 0.000248340186723284 3.98034796383531E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0111338345399708 0.00919762031558296 0.00226965010270515 0.00242101229521541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00853736839852741 0.00207657050915446 0.000251489079407643 1.16127495732886E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0107325965532119 0.00989593540997325 0.00188843852760848 0.0023597468771995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00915746936180647 0.00397958086908835 0.000277807642460977 4.22073096572754E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0111391306766018 0.0115663165116843 0.00184242235755186 0.00238269409274508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0166963889390935 0.0117168283909624 0.000579650143223817 0.000383443246321788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0162222536765301 0.0189663290173382 0.00145890604489525 0.00308134055087174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0299004657257981 0.0194786874690966 0.00129347131701845 0.00111208525478143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0243019981249203 0.0255978268776738 0.00208346650057262 0.00376600915460459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0101720940104763 0.00698199037658196 0.000459016997886952 0.000308560098901842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137695002340008 0.0262707417422433 0.0017556285120614 0.015026738360416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0101381015019573 0.00699417449114597 0.000455497639957973 0.000311943250093954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137696808143854 0.0264567842762448 0.00175672272012002 0.0151902006309747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0101443783155355 0.00703026865705167 0.000459920950008705 0.000319575701941203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137334618748797 0.0264336910398531 0.0017425095525695 0.0151627775882659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0104517553201388 0.00723605207990101 0.000864025125657885 0.000416667505818915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0139684850684574 0.0267490810237824 0.00186775471478476 0.0154344804517264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0125424469663624 0.00914983441130201 0.00196800213426873 0.00076414031272188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0143183391614328 0.027525611289123 0.00189235875082197 0.0152822391160471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0166195137416924 0.0123341405612311 0.00328706642023846 0.00115622644161469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0161958430491186 0.03180012613874 0.00226219675123705 0.0181763660949954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0102780581772007 0.00698642429879903 0.000527580239433533 0.000316769742018001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137540901823 0.0262632908505937 0.00176346959440406 0.0150322762226468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0105887307858343 0.00726566236827519 0.000740664322308321 0.000363805321704551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137662741340727 0.0264518914748443 0.00178741176589656 0.0151984744716827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0124227917703368 0.00894029417100943 0.00167379511044997 0.000616456715751169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0143797143808048 0.0278418535510938 0.00193140106335475 0.0160734973416475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0323411571852286 0.021399405641202 0.0107071927783476 0.00301177038702931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0230111462522991 0.0439399417465778 0.00338341272419928 0.0265009215426153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0618172375381661 0.0372708971995867 0.0236865678030484 0.00661898701676635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034206243743913 0.0646844245539967 0.00524802251437844 0.0433693257242948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.861737995326089 0.860552521393729 0.903246315768459 3.85317777358222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0314070288831653 0.0308255490614415 0.0188835004743665 0.0159664337383979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.861662232613212 0.860443818352517 0.903309997833769 3.85250174976536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0313828336405379 0.0307747602022019 0.0188805687267648 0.0159230217456471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.861710109628924 0.860465597143793 0.903072719183815 3.85243209226116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0316128208837667 0.0309229818357309 0.0190597039112096 0.0161340281132367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.86115237843904 0.859869951462237 0.902088984392038 3.84755147632176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0318340902491048 0.0307210849483089 0.0192595874204069 0.0158201201938194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.858426213379253 0.857188816202775 0.896243715543014 3.82486291505118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0324628063622101 0.0316376903659433 0.0193239839887507 0.0173121233759288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.853473744450759 0.853710661018994 0.885452532352198 3.79323421148994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034242800930895 0.0347095355777409 0.0198787815581597 0.0217756808167706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.861346431205324 0.86042962674742 0.902945482912703 3.85242908611554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0313889679255089 0.0307748966874692 0.0188454186354263 0.0158310325279221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.860296479042534 0.859762537760542 0.901765694971193 3.84745181957492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0314198122147723 0.0313753043529019 0.0188151795702066 0.0165450295127631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.856742557468825 0.856853770630161 0.89753899251133 3.82292726664305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0319711259294965 0.0329674626164024 0.0185563766620479 0.0187328537537445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.849752723407745 0.851962051050131 0.860107719894427 3.7562271802354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0408423396937143 0.0407341282112776 0.0227730141160384 0.0237667760842844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.837206068882356 0.841135208274563 0.802467787905709 3.63115818572033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0560652322668404 0.0548017124660721 0.0297911292560484 0.0364873154133721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0238331085646557 0.0110159371060503 0.00166139294378864 0.00309206895846683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259518875480388 0.0247537613686219 0.00261548631397887 0.0128534839477691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0238534836533663 0.0110393159636888 0.00166216883929967 0.00308474246533339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.025961766359863 0.0247532104444796 0.00261437853989147 0.0127369822795709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0239729503243787 0.0111745371464296 0.00168814908048294 0.00309385831649448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259677486707197 0.0248079027357917 0.00261436472288756 0.0127050496902277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0243574158515575 0.0116873496034373 0.00186332612317095 0.00316160824667428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.02626112447679 0.0252872056377576 0.00288490920600939 0.0128111882034259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0294769724480956 0.0144766035513626 0.0081179459341763 0.00350542291995302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0272155296092233 0.0286789002021032 0.00411864154186931 0.0140888256663485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0364786541476008 0.0175765854687021 0.0158131738852402 0.00407509955193459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0286145440077606 0.0313977409335801 0.00515747351983739 0.0148273421506236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0245102709813636 0.0114416211517933 0.00210549223135626 0.00317894739254168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0264529675446686 0.0253761388518778 0.00350455712861673 0.013242825095939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0262249208607211 0.0123161661045101 0.00441241703108326 0.00333660550413456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0267405756191507 0.0261691549008087 0.00378745606242098 0.0133139334254096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0306427548311633 0.0146808466209598 0.00994135169736504 0.00366284435275042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0279666517510114 0.0289264491488851 0.00559573054629198 0.0146409949272594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0638850521061412 0.0257607896302972 0.0431384021283815 0.00590895179026963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0386421568366145 0.0425997639194778 0.0168036519692359 0.021096299476994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.111220373885027 0.0365700895771374 0.0831036010332417 0.00847844662431651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.05368471969864 0.0621095409562194 0.0264905225326617 0.0339023614973362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.955463740510438 0.957926764204235 1.14297663443407 4.8021162477651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169089293048382 0.0185187751640282 0.00194308747288638 0.00212043758582654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.956008532683831 0.958439280726486 1.1422711619397 4.80550385791614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016933270771656 0.0185158693389841 0.00196785616221367 0.00211424492677962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.955814082598856 0.958172454335919 1.14222619628259 4.80348348711751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168566746202602 0.0186068958869008 0.00194417668492889 0.00217495059376556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.95544563720597 0.95765785592905 1.14100132778464 4.79870880880062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169431282601819 0.0186629446299529 0.00200461599889555 0.00222989067643825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.954618543741271 0.956328471127192 1.13342991885759 4.78439398003721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172571634052471 0.0197126428179842 0.00226632922115637 0.00334889070853749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.953302735243061 0.954823263034759 1.12130213850912 4.7651139494213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0183765481612356 0.0211977395498655 0.00285323024435595 0.00477826573869125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.954825179842283 0.95718885316951 1.14134035289845 4.79574646568406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0170540147527432 0.0186960787819626 0.00198665879849412 0.00220452530772378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.955774570300781 0.957742386453559 1.13999469791438 4.7997673915556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0170081425229651 0.0194131383774064 0.00196785570438242 0.00337172134979847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.953299515942596 0.955301510569693 1.13359580183443 4.77794503350226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172993105335482 0.0200351852898312 0.00202202357572179 0.00356599998792414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.949612534914771 0.952418248191239 1.0800127920959 4.71973330945885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0250845266594424 0.0302146798446775 0.00627944284599419 0.0125712748700652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.939312462528384 0.943404118985435 1.00394229254936 4.58993475547543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0406764920365515 0.0488708052478105 0.0147871379234003 0.0317794698753809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.494119697685037 0.492645008479164 0.403071390307706 1.37040871690557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0229218433905661 0.0184852440016226 0.00647796011298194 0.0045492650278064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.49376763224269 0.492287531713859 0.40258862407202 1.36849294978613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228462284501645 0.0184209363590785 0.00637374174807067 0.00447272719077884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.493550620436624 0.492044047463603 0.402330444654684 1.36724212580626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228552096944242 0.0184315612241057 0.00637633655793612 0.00447708011701136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.4935751301989 0.491962609610431 0.402204943965433 1.36669172571035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0232965698202166 0.0184307946059142 0.00720862970275587 0.00443862455480308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.495138940679971 0.492960113011326 0.399711998453036 1.36842179837248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0243441846899747 0.019182071833401 0.0080147861804933 0.00479704051154772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.498293784846468 0.49497170550875 0.397388154668498 1.37296835754503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0271992802241212 0.0207316087761374 0.0112867370160305 0.00521345488597814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.495806402922536 0.493698219729873 0.403597550345557 1.37490191060521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0229089257969149 0.0182835331525215 0.00636867088990125 0.00438989536203912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.4966539050776 0.493935791518889 0.402930983088592 1.37521568010342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0232730852664757 0.0185816373573876 0.00709245236941379 0.00462070709589557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.498826960848712 0.494751341631671 0.403514939067955 1.37640550211046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0241982659983873 0.0187917200116059 0.0076134372814001 0.0046547476549224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.508241672688823 0.499371865497366 0.388992255527602 1.37583197789285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0338931794170443 0.0283505795118785 0.0160673881601091 0.0101014984189862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.52897992544881 0.513490404510573 0.375995101291918 1.41228765301258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0516470785565288 0.0423128886711489 0.0294779270215124 0.0197341138819556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.499766260346154 0.500230339670186 0.558572541163943 1.55910013616843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0147627222427321 0.0198517460315828 0.00191251836586804 0.00868319687510498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.500563117184915 0.500939215915835 0.558851656104648 1.56241075275885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0148031016654431 0.0197517430672123 0.00191746502358561 0.00846598850055168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.501191718531165 0.501496974169965 0.559661823956509 1.5654069858232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0148097351473906 0.0196725817868626 0.00191794898988169 0.00846545072355771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.501225260233462 0.50131814094101 0.558999989820893 1.56402170141841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0148501888618719 0.019356625481868 0.00193948387620176 0.00805559815496364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.502413087025645 0.50142894875848 0.558743526325139 1.5621812783984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154892196076507 0.020660022936532 0.00234963549813329 0.00922610774600577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503638140554958 0.501609009174455 0.555803966686033 1.5588420400581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0182516731977373 0.0225608040534593 0.00412967016370318 0.0106218714384828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.49993270509217 0.5001922116997 0.558201184291279 1.55879002548126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0149843442814654 0.0195515378025101 0.00202726458888143 0.00825998383047929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.500681152806354 0.50048019695037 0.557126299250578 1.55916482005062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014873882140437 0.0196257096447234 0.00193999334618436 0.00809933293356005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.500120065980602 0.499391097209639 0.553324615791283 1.5509712462329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016230182461014 0.0203227965729458 0.00286791771210644 0.00859762898512738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.501964510455082 0.496111991629061 0.528558725830371 1.51108404058188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0264169907047814 0.0279583363853246 0.008099092764718 0.0122475836942614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.508824944457591 0.496356241027538 0.49372155384078 1.47864919573791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398721369615981 0.0380637855785154 0.013229837831183 0.0162137605897143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.940316921191467 0.936199208010263 0.518822903362097 4.01712941709875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022494377571749 0.0158684747736932 0.00986606842079259 0.00470612084058523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.940072478799669 0.935883372967598 0.519139264450302 4.01482671420111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222067760463431 0.0159253233575358 0.00963532568768531 0.0047171171585071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.939759468751743 0.93550331866005 0.519235096237344 4.01187562710988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0224795157969836 0.0157787885216218 0.00986882266063661 0.00463589374467629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.939385720235153 0.935085245191326 0.519167007772338 4.00866547719439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0223621592940305 0.0157629649491047 0.00983909508969988 0.00462589448592455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.937372657937896 0.933085566900521 0.518430261934315 3.99177840919812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234395802793713 0.0165579179559757 0.0100711818213738 0.00509654801850951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.934345864699009 0.930463032996741 0.514975982701108 3.96774279167241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0251480367554547 0.018680712858005 0.0102477961505073 0.00630967232164951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.939287612975077 0.935267830546077 0.518630053621634 4.00937575269946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022397528484768 0.0162536127032436 0.00974069876814699 0.00529266019193783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.93854906099558 0.934639028360402 0.51821428300065 4.0041112853675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0224328741783464 0.0165793826650652 0.00969614137027464 0.00565660986186119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.936707399703338 0.932775747889622 0.515548652906384 3.98736717411384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0235778575756141 0.0169508003485397 0.00995433474348659 0.00572450400237807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.928284230481621 0.926594607066578 0.499333782603196 3.92143300609695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0332538846843758 0.0237457523924383 0.0121923938518812 0.00767594667393405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.91132156802612 0.914312526668798 0.473441735865281 3.80410685332478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.044557127310871 0.0386600920174964 0.0151854657093997 0.0175293029274716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.568865790871169 0.56822161936042 0.46804639581559 1.75124011235582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172717005477322 0.0185286478689552 0.0037831588513362 0.00614091549218249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.568214173621402 0.567549449282948 0.467595948217231 1.74779257916764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0173477935080004 0.0186531636022947 0.00384585116813139 0.0062370281874604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.568418626186006 0.567721381157715 0.467367347294938 1.74840991590464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172928828566158 0.0186840493910544 0.00378014152235995 0.00624482606364182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.567585072387897 0.566803287237406 0.466269598152195 1.74334962891202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175144969957228 0.0187142252962991 0.00394263256485888 0.00625962745494616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.569675560195325 0.568250075889699 0.463464872197996 1.747238877605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018902885043504 0.0198104634055862 0.00506656130233557 0.00697734127060852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.572351626065216 0.569898846613771 0.459204982279906 1.7494060020404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205983206578473 0.0230311008987205 0.00591790227482465 0.00937317570095255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.570424171173897 0.569539033961671 0.468247863035433 1.75718286650247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181024148694298 0.0186050833202837 0.00462787229650236 0.00614921933285659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.571120735826859 0.570058142274744 0.467850904464487 1.75913963941869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0182530162265524 0.0187517748872673 0.00465204151614723 0.00629935892516147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.573341224654944 0.571924443662121 0.46621144703539 1.76597466734384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0187540107303525 0.01997397648284 0.00476434696466582 0.0069163812525245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.584033651724589 0.580625186513211 0.450284916868404 1.78847982831422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0302006453535827 0.0294401439500179 0.0118260728198507 0.0121510584798762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.597627581106172 0.591746493288087 0.425546636895177 1.81664434457594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0440404530823402 0.0439463832413471 0.0187244451795829 0.0223651728858307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987463055677612 0.989991777044243 1.20734232372397 5.11706233278232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157324394117667 0.019683504380144 0.00144434845252979 0.00242646223951232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987447816257328 0.98993917713227 1.20726935197897 5.116695498608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157643564625347 0.019752659638431 0.0014513496855003 0.00244840526158408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987873934497469 0.990326056933114 1.20713059542386 5.11986839646612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0158524296782793 0.0196960651382426 0.00149386497107627 0.00244149996439731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987404399562705 0.989814920090378 1.20600765891304 5.11545307811025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0158346170281995 0.0196575030873542 0.00147681613685021 0.0024392579137099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.984944991269037 0.98704825520229 1.19716834848032 5.08884226047205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0161323782470961 0.021617949220274 0.00150015226750964 0.00573023559984346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.983416515894791 0.9858348945457 1.18364204307664 5.07037000349901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0177834697102976 0.0226320855274401 0.00260397471597592 0.00636062890858351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.988673725761661 0.991114543277814 1.20780283559345 5.12702036358333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156907829357302 0.0198537620906057 0.00140675127740755 0.00250272385339568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.989125273347094 0.991430782112271 1.20574313254002 5.12854789657717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157230120865514 0.0200424538985625 0.00139530423679042 0.00254053342721773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.988429191999706 0.990802781430301 1.19936758582613 5.12032269894201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164275055435052 0.0219768565165806 0.00188861560293471 0.00483608367100165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980086259918415 0.983392216346443 1.1467056174515 5.02525895497326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0255768955232268 0.0310265977410284 0.00634326270166805 0.0128793979183156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.967485422905201 0.973053310330541 1.07076100584776 4.88355479486465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0369111771373906 0.0459264502974106 0.0107331463737974 0.0270168944504375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0119229111809318 0.00401802558244264 0.000587398712873949 0.000314656116754802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0152071247481381 0.0129015784281086 0.00301061025485127 0.00325676137471226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0119141662252744 0.00406015329471069 0.000586790670583854 0.000315997240339952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0153319527724142 0.0129762589751523 0.00310851224333186 0.00330358591026801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0119319513314031 0.00417768050393615 0.000587711258800136 0.000320704358082118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.015324575139776 0.0131081204030638 0.00310732527427448 0.00328822752191935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0120998004659323 0.0045441897471069 0.000625743974364991 0.000338223970020884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156644188485793 0.0134611676302922 0.0034678729816878 0.00333057840894407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.014791267230343 0.00678226330282318 0.00270733579294147 0.0005272727867938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0166212016163367 0.015873272374108 0.00431280029638156 0.00370526143962365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197102676654201 0.00934128593249062 0.00649617811523858 0.000779736105775928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192850833792407 0.0186756230692182 0.00650469884589943 0.00422331254200133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0120679467787003 0.00432972362700713 0.000606415804318779 0.00031866364411568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0152159056271194 0.0130424917927623 0.00299636710677513 0.00321113265858015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0126372640756405 0.00506376082863408 0.000702642127979851 0.000344536651168115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0151563484454016 0.0138017014997476 0.00289304439416442 0.00331573315391185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0148598135309101 0.00686704343641043 0.00132155251194575 0.000454772063067119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164900938837356 0.0159166291850421 0.00392734790575742 0.00360727207740679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0403579953772879 0.0154781274555966 0.0142808222650173 0.00142471057580075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0278754116980545 0.0270444240151487 0.0114296876096236 0.0066852858873189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0818286591638864 0.0247624469630788 0.0392278522890123 0.00294592199294916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0467403750782743 0.0410146384130304 0.0227581256709478 0.0126229934490225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00803361596514428 0.00477127410567508 0.000264217716872907 9.411071884867E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00914604486075192 0.0238159278336381 0.000684201124930893 0.0219676289535353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00806749303647754 0.00502511908161563 0.000273443406054022 0.000108401034611957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00919237290987873 0.0239801316078362 0.000700130809923229 0.0219087578041884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00860029630488881 0.00662781160709256 0.00031382586551543 0.000169195457054106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0096865871704045 0.0255906476614376 0.000722139286435226 0.0220598869330893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0115240937402706 0.0111104420582964 0.000509748506980286 0.000400811171318131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0125986077974158 0.0299374661347995 0.000911847537360564 0.0223836325682643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0279948730532207 0.0309817674863094 0.00249661307775088 0.00254527745418536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0289124168382565 0.0492398851157899 0.00284638603433899 0.025992147627854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0454372498057015 0.0509917670741406 0.00643636591815239 0.00632481179102876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0461855601682064 0.0680828546182024 0.00677302761243602 0.0316632227934802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0103490488381974 0.0090975900103986 0.00042752333991436 0.000286149316548466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0114553722715473 0.0279962622892361 0.000839526836859616 0.022189524374711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0166171327243128 0.0166872010375401 0.000956043895940612 0.000824078897114894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0176992437007247 0.0355810301427115 0.00135301017871125 0.0232868462089116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0307844178385622 0.0323902631622037 0.00299136957996015 0.00275168349121716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0316735017693486 0.0507407725954562 0.00331639357313381 0.0261056242339608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0894727460322015 0.0946487592546477 0.0256890998466709 0.0186913378503367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0905594491008576 0.110969793038952 0.0273947622844313 0.0517926170049681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.149464890173011 0.157985357958904 0.0752781978182326 0.044336133298295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151512933229179 0.171969078301298 0.0833595505160149 0.0896122064604038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.386618750654675 0.385552245862787 0.162628333225951 0.752663194102712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00542810867827031 0.00542308561549211 0.000219652706273607 0.000181010720071662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.386932090148185 0.385821044941535 0.162623217185906 0.753488519698057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00542543420126867 0.00536688186495332 0.000221372604958337 0.000162284155342232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.387257010392484 0.386138786692041 0.16267626617359 0.754178400619722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00571937858360834 0.00568097499251226 0.000233362503164154 0.000168972252831421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.387716788076629 0.386475378483489 0.162822110141554 0.753778060211317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00732778069842452 0.00745313056912195 0.000285329920449091 0.000219839651370962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.392988773657235 0.389383403693295 0.163948908346261 0.755239422506888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0166157486600146 0.0180028525499651 0.0010163280959823 0.00135094825854213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.399944922264043 0.391758935758067 0.166287166708443 0.754873830658698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0270680284824744 0.0294634974571701 0.00279794389176351 0.0035473761938763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.388406925423966 0.387198316958876 0.162889202443436 0.756645570814849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00669910956397388 0.00681178114515511 0.000269700579180908 0.000211252197714421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.390342782609616 0.388575897682944 0.162950168245486 0.757762472751428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100642390276752 0.0105890065411529 0.000423986273062078 0.000436036122993167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.396288441090675 0.392143418654294 0.164089057164733 0.762370231833528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0179911153771665 0.0193051496605458 0.00115655879177317 0.00138774407317486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.421420526813224 0.397381274015746 0.176400424189463 0.753697799391566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0537461287701326 0.0576026859946592 0.012236728516487 0.0127012193375071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.446608419153622 0.392500488047882 0.201160453680581 0.715261618720479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0891149516000178 0.0932641855182851 0.0347940911251463 0.0308835832807973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00402294179650006 0.000436870201548554 7.15722321942563E-05 8.63424096576552E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00403516774533715 0.00818568394721408 7.24619442894819E-05 0.00256971373779432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00426811230710349 0.00210936665607523 8.18837735318188E-05 1.27632358863678E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00428006121596469 0.00976914037519373 8.26931293781272E-05 0.00255895170604817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00551185769567109 0.00414814747901671 0.000122261086124773 4.67525968048605E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0055199151997902 0.0117488057462796 0.000122814110477614 0.00263378520351312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00906378402864032 0.00826254008401048 0.000278373456037657 0.000179684388839256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00905922696552479 0.0156477746343511 0.000278314620477559 0.0028974509339566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0250895323567402 0.0247418453266481 0.00182596273911859 0.0015474001560256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0251202909864446 0.0320044790395928 0.00185386953967929 0.00548439181878656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0416342509363364 0.0410867281752815 0.00497331776290101 0.00415811398226101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0419398271031862 0.0494078891898687 0.00527786043145322 0.0104649014488364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00788025034999505 0.00689959158480555 0.000220040057122832 0.000126382756948368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00787575125748661 0.0143573394677532 0.000219602432113032 0.0027761274619273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0144647228518574 0.0137854987746668 0.000646346774318322 0.000492328659536042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144249717837221 0.020909878251571 0.000642631244631328 0.00338751356603682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0282011697746211 0.027513176235578 0.00230384921721466 0.00190782268725429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0282433211481046 0.0349171926108385 0.00236492150119063 0.00607990733325904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0904278648773043 0.0777685515954997 0.0244163400704014 0.0147817769221919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0855534692404733 0.0917377741341145 0.0241821269512192 0.0288574337708826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.169012289941164 0.117501530238371 0.0816805264206526 0.0351070668386026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141323701895206 0.146049338723406 0.0701657065409133 0.0633892296216896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.3730942474282 2.37084533635606 1.47612725460681 23.9166437281835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175256512737034 0.0191280874479304 0.00661246771552883 0.00798915064415348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.37153113498946 2.36923903234451 1.47879482384068 23.8887554887365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175176608804295 0.0191157589058734 0.0066447903273113 0.00793536930626863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36902164527447 2.36661696085976 1.48380925707013 23.8436902584767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0176421378316546 0.0192895003912595 0.00671230785167084 0.00805356158692401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36776794505145 2.36504294928539 1.48797801141831 23.8138551229141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198099264274001 0.0211763474375459 0.0072451388396866 0.00826023161058301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.35838620254871 2.35215959917556 1.51766505995777 23.566555176466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0370576586807351 0.0377202092295301 0.0108053530326897 0.00928490050695556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.33902264002497 2.32632350902276 1.56825786469177 23.0889029788734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0559689803063014 0.0565458223851424 0.0157894091791326 0.0120173556595907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.37123453503542 2.36874713690624 1.4801350264148 23.8792847462819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186862187094741 0.0201093456631225 0.00676429115706879 0.00786039341879023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36389849484666 2.36051878073024 1.49621507757326 23.7296732098764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0245594829670175 0.0259416936775433 0.00780418527026786 0.00836398967010526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.34865520838224 2.34213231338425 1.53155417312539 23.3897252026981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0390584909218552 0.0406209774828454 0.010238550370281 0.00898218904841301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.24161767951193 2.20500830951895 1.78709202234638 20.9469675638381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100603711856944 0.105433327934168 0.0319685896630326 0.0291108289859227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.11572008700555 2.03562421305091 2.10795552608907 18.0849805398289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.162631116293847 0.170382042396528 0.0758091136100919 0.0741180961052933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.564010739262118 0.562384103598059 0.312554311523604 1.56878834305325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00794485647653971 0.010722358263636 0.000488773884120724 0.00367374632713314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.564737751203351 0.563080096596633 0.313234360248316 1.57257662568228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00795948661689268 0.0107125751286244 0.000497908045826545 0.00368475308625037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.564949164334238 0.563326155156622 0.313713200555138 1.57362499658757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00815089847388817 0.0112156993870403 0.000510502447943101 0.00380441462235511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.566206329465514 0.5645313859465 0.31456388700763 1.57744181404596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00989100758784664 0.0132764283791125 0.000598919538873485 0.00373200083032089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.567976782633716 0.564006536575298 0.315869445330296 1.56170996855931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208263475160772 0.0251917464243976 0.00152583981863114 0.00403008062593293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.573306883105484 0.564977354314325 0.321245942543165 1.55341314680749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0329711043341953 0.0383726228564484 0.00349261421242164 0.00568692166895397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.567368989655718 0.565892818269364 0.313588025953723 1.58349620676821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00905877471163072 0.0122848009534873 0.000545747523659436 0.00364916322803048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.567948548902922 0.566269107885399 0.314588972054248 1.58082162060997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0128965125689971 0.0165534785366955 0.00077389031315176 0.00364683602302775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.571275362479529 0.567671537638718 0.316636303735814 1.57626831931401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222771011422683 0.0263435251071141 0.00176585238182228 0.00390374097336548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.587787089891436 0.56470536170516 0.344054554916237 1.52294546142104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.063414211524115 0.0706321034800155 0.0144361035652509 0.0160585393535871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.612958476898942 0.559641875762076 0.393387354081395 1.46474151900431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105315931023984 0.114930301082388 0.0418069076563686 0.0428123867675415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03338754852067 1.03322297021648 0.609606382206715 4.86574189505204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00725082722184619 0.0111445919236695 0.000250074770387962 0.00216481722835183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03251161503028 1.03231019752852 0.610590587513631 4.85897055673339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00730825279351762 0.011068759820272 0.000267110550352174 0.00206328879472656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03200897162189 1.03182643634316 0.611095163430648 4.85358332317231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00810076040537889 0.0119246038030157 0.000321944805331381 0.00194090548892898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03381105722773 1.03333013191682 0.610458151424101 4.85932108179751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.011609319889385 0.0157528955463543 0.000545675663191544 0.00197137227219698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04127158580038 1.03638707140367 0.621076312549218 4.86297312532944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0297790423943528 0.0349516865740708 0.00272231274141386 0.00372951714582663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04237418206777 1.02881575080463 0.642443945349469 4.7822321146999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0485645784519618 0.0555705132142596 0.00679285292047423 0.00802279071072145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03609977614358 1.03583511587709 0.611627692189247 4.88337333973481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100850772022578 0.0139213044309867 0.000443157641981057 0.00192895498662614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03824507815961 1.03693962778197 0.613121439391325 4.88228387213106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168101784313851 0.0207662378911206 0.00098872669149061 0.00208469435133835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04207113063419 1.03635395302735 0.624356084610429 4.86074676451366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0315726041832005 0.0362581954400718 0.00303620687164373 0.00384401380661722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04972539229496 1.00510214632059 0.711618180297633 4.54706317257212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.092737544804999 0.102800968090918 0.0251239155040949 0.0278824051002163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05058142866248 0.955675278430979 0.839868692169562 4.10269810448358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.153408696996176 0.16975736830103 0.0703319612796157 0.0774533458201248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79857043994388 1.79543517380042 0.20139938791453 13.0900106063427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.011737496440431 0.0127571671203612 0.00400394974320036 0.00212199105919255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79776047842647 1.79458266730384 0.202948902128199 13.0793211285921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0117942562542529 0.0128426684014922 0.00399261597442273 0.0022255496040675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79809642374978 1.79481372121204 0.202441209401124 13.0822625622433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0128511538328621 0.0129636771100031 0.00408102409609516 0.00206167498957582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79762980293374 1.79402101563419 0.204335556872174 13.0723932926678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169586337901537 0.0152966783547935 0.00438799101373919 0.00199154438336014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.78513847671431 1.7791871126093 0.23542813065539 12.8847290335301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0367456152837719 0.0321262712185672 0.00719739140824338 0.00318618804320903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76093771663758 1.75003345976278 0.29578277509028 12.5173265411635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0565855869521018 0.0511351720839942 0.0113074384625659 0.00679726760493231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79673912354057 1.79319262576817 0.205909695250542 13.062167427379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154416458513658 0.0142586226480139 0.00419668091789032 0.00215236002984172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79330082599699 1.78901408674189 0.214716109554177 13.009320218385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234018530157862 0.0201297979489552 0.0049661692636426 0.00224735957693778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77879488648501 1.77180791463321 0.250746143097477 12.792313420338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0401114791015902 0.034945925947449 0.00726863861945726 0.00387104030890145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67471404067785 1.63528344823786 0.526614194356756 11.0948186937218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109645230071814 0.097686091946899 0.0355180846702391 0.0245723435537684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.55656850317528 1.4550754572048 0.871252432832977 8.97636086789181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.177437245246516 0.158454110990767 0.0872097564104021 0.0630597156782303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.166943410924076 0.166798223568073 0.345290108983282 0.44285721644335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0158515600951781 0.0168894755304454 0.00626446275244044 0.00654764866062543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.168204503474045 0.167987567857789 0.348191304107509 0.447099798803285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157212129427038 0.0169069367174827 0.00611848393428508 0.00657588389984124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170530434518899 0.169973897868688 0.352492747520738 0.453006490426064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0155571868433423 0.0172931140899612 0.00544047983485488 0.00667310967411794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.183113365947886 0.181531610538022 0.373808730475042 0.485657369043782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181267856324194 0.0202358413095095 0.00488036101843309 0.00701241635655744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.282956741960089 0.27333775596981 0.557740275498264 0.786551034930391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0378693674529491 0.0384855445275759 0.00689828895018262 0.00920220843371339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.445375398308785 0.420295501464518 0.865909699380286 1.40485926413941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0590595610254714 0.0579790185368514 0.0116662103758058 0.0126762744414644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.177476864631608 0.176140454781972 0.363885132469348 0.47033051247039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.017502056089477 0.0186480415809064 0.00544367663323051 0.0066021642921155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.209031108661815 0.205142611713611 0.418287014219151 0.555859587272717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0247974034396209 0.0251531170558737 0.00561180524702794 0.00707614732816941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.310552521566671 0.29807604329918 0.609602645692753 0.881921277311481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0418043140698714 0.0406146110196078 0.00764005746591938 0.00902151829335797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.781236616877968 0.706346490603858 1.41358903391893 2.95179261295238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.113704518458486 0.105602073469638 0.035948309019641 0.0302608388498748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04543574333136 0.904989916901959 1.78744714910897 4.24843486229182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.185330819427379 0.171056732442964 0.0917353790901206 0.0755529736610108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.68019314501526 2.67896057096803 1.4150871738681 30.0823108129806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192409564438851 0.0208204055738361 0.00884858776698895 0.0124985346277312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.68263096194368 2.68131236299551 1.40895773477932 30.1271719627634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191610739414501 0.0208774115865949 0.00872767039722293 0.0126059420458301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.68219769263104 2.68068807266314 1.41034182649696 30.1155424814276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192650953849782 0.0210843241941578 0.00864591515064878 0.0127435458534749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.68394484457661 2.68175765566135 1.40732565978423 30.1336898170462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0215434871836302 0.0232103072388292 0.00883314487095474 0.0128046202177196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.66241605265324 2.65600670141138 1.47462301472724 29.6216044872861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0379688639578547 0.0404940803391319 0.0095757305385793 0.0133350389106947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.63748510964994 2.62442894574682 1.55377950781637 28.9903790849167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0565952562042221 0.0594690137141897 0.0127424339073695 0.014423700411727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.68168628690272 2.67978999806398 1.41092153668387 30.0952815477307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0206842289518666 0.0221912336111658 0.00926365445405558 0.0127050838914415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.68062972254487 2.67738314989997 1.41822597529208 30.041859901126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0264513008713191 0.0284267603005955 0.00969046088603617 0.0129062272606041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.66705405737623 2.65955966009811 1.46501382527339 29.6798573178267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0408112795575965 0.0437735070319246 0.0107567615866321 0.0131359322827608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.53847928848977 2.49887731170519 1.84413032392734 26.5250061601213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.102899658056794 0.111235922293145 0.0307298195173141 0.0333001916304607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36573787339657 2.27955896028099 2.32533638658964 22.4508840597728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.166092688139495 0.179466162211856 0.074464353535611 0.0825360419641011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0117180132616042 0.00045389006266172 0.000697906082414129 7.01412537526169E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0148427907116001 0.00268158183234516 0.00489180396327782 0.000919800303088537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.011710772682863 0.0021461206838723 0.00070265312483058 9.89402017305134E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0148709601131249 0.0043509962604449 0.00493578918208224 0.000926043494602291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0119427737251927 0.00424832561917928 0.000734064470091407 4.24816133626613E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0151141319262548 0.00645679263874325 0.00496234276554474 0.000980850103397044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0142596338106936 0.00847645406043866 0.000926816390262672 0.000176496309159424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0177518295385459 0.0109261048182724 0.00546890653804114 0.00130921506216158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0304504787590371 0.0254072857350151 0.00297341119995073 0.00162463659438771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0349615975286764 0.0290245534281596 0.00845335429294289 0.00410460561228583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0483527118187699 0.0423137220474654 0.00681190950667597 0.00451331929950158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0532742465224579 0.0468399293950036 0.0126644706098356 0.00873851049337092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0131626136949338 0.00714068998532202 0.000851342635330945 0.000124992945477086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0163916290618528 0.0094728387673492 0.00513664385863922 0.00118762215042201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.018710914044434 0.014265708891274 0.00138240912103758 0.000510855005413953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0225665361284363 0.0172302406897723 0.00627900111626174 0.00210997997523875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0323837706339674 0.0285137255712784 0.00334205199386379 0.00205947580632833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0370528350729964 0.0323753596010481 0.00907786783699426 0.00479779698344611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0908530189239386 0.0851802197653056 0.0221021634764441 0.0182786962705763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0952353541052153 0.0916118812993392 0.0286143290953084 0.0279609749298357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.150140444788224 0.140882346537162 0.0577499290453132 0.0494822890506376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152542221956238 0.148979982205228 0.0669759407308516 0.0685718060543085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00645103751528058 0.004402953406442 0.000170363928036003 7.85068890310368E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00710442942764444 0.0199834787171093 0.000393352588713418 0.0178451348773653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00666439221945229 0.00488827439690774 0.00019034686683692 0.000100136376568082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0073114353775146 0.0204430583472089 0.000409626475418507 0.017830433413574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00830073554566434 0.00701214033786523 0.000276750798909185 0.000181143873763909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00892958133454415 0.02256890208652 0.000487575929558139 0.0179505557650334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0133813028708309 0.0123993992516774 0.000621413367525725 0.000480573418496951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014008556654507 0.0278415409346419 0.00083124297589926 0.0182932640560068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0365902408914828 0.0353891431885315 0.00407938564072342 0.00320342160218953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0371339556835399 0.0499662199745332 0.00427492279905093 0.0219042446215157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.060027637725051 0.058330371780397 0.0110611587565325 0.0078742551379531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0604592094965007 0.0718307434881846 0.0112714879248724 0.0284197565705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.011237743954383 0.0102866798812954 0.000459725798197827 0.000346889460623284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0117883201325689 0.0255885833372287 0.000635901338734639 0.0179344747009511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0202157591249553 0.0194691600981755 0.00131580935438891 0.00107989405314927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.020701927769457 0.0345493058787482 0.00146956787471329 0.0189844381600814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0390131788970162 0.0381939106268947 0.00466641465004728 0.00368368851633728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.039385715214823 0.0525383805327574 0.00480613355257476 0.0226361910376836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.114501870390134 0.113492637791404 0.0430833739536459 0.024973727810703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115938411138823 0.126024261482575 0.0459987974221797 0.0537039137550179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.191926599766747 0.190404534925052 0.128686712176097 0.0590807135796401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.193417135876448 0.202245251385917 0.139757544319892 0.0973060422931619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.370384554410237 0.369712338893878 0.149507664155716 0.6918722698914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00435091122903554 0.00454089650296349 0.000134169253023534 0.000112323810631042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.370491563307054 0.369781181816006 0.14948608562825 0.691908131634508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00453978622300083 0.00469019055050598 0.000142595334354355 0.000129657428666956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.370725672987884 0.369937231194978 0.149636558721578 0.69161639631405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00564466096866937 0.00570919013372266 0.00017455411350881 0.000141670161293407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.373114723098469 0.371782294930991 0.150226841897022 0.695043989890498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00885197079667936 0.00878674657177736 0.00030389024305471 0.000244765445355525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.383731618179321 0.377121270728831 0.153783423300799 0.700845186447338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0237367742230273 0.0235442846689136 0.00179701327552382 0.00176985407742282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.394351557459137 0.378832883954354 0.160462111663247 0.695647473351455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398907272134249 0.0394260240028498 0.00537717626167961 0.00529827406001732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.374484752496491 0.373234479802832 0.150169327767039 0.700412556201691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00776671952410685 0.00762401852465105 0.000255147140526984 0.000206955983730562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.377847969344848 0.374931415897584 0.150803620027121 0.701170911020014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137425878018538 0.0133293177320091 0.000625060728684776 0.000566643326595398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.386461139303126 0.377901392579425 0.154048794748282 0.701379620226948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0266238543492051 0.0258559979852311 0.0023054957096395 0.00225199640589559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.430164532319228 0.381339778894194 0.189675660526861 0.681804888972144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.081032010938095 0.0771556456534547 0.0235591845371524 0.0190184272979614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.475985605963332 0.378056716592376 0.246172959814241 0.649716699668905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133448638950938 0.125842279454088 0.0641048817642039 0.0482063766909867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00437894822220515 0.000433945840238288 8.55579990720318E-05 8.55705231589341E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00439140111744931 0.00819481079748724 8.69474449504292E-05 0.00265734003844665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00453821289133937 0.00233401104407984 9.45150235909656E-05 1.54811655460782E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0045494789903094 0.0100112279660585 9.5670956836492E-05 0.00266377207127492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00567041248143248 0.00460079557230845 0.000133942829105212 5.70931742574111E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00567841578678388 0.012195409787869 0.000134760593382177 0.00273457876739041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00915644916098387 0.00916645150547592 0.000291085888136665 0.000219872804311253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00915356270490604 0.0165777844222838 0.000290959659992885 0.00307876309271434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0251221051970002 0.0274388297100108 0.00185494984375721 0.00189753076048461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0251523564533059 0.0351901853561775 0.0018771633406723 0.00658271197106374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0417409513492009 0.045516566106373 0.00507879055250838 0.00510143354667205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0419161578618104 0.0541799400675261 0.00536033163537563 0.0122953106215228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0077997213391815 0.00760369407386374 0.000223649053450701 0.000152961738141716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00780648115217168 0.0151943030223642 0.000224917662433537 0.00297853334116007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0140541207921918 0.0151828161464959 0.000624350949357732 0.000595434954380724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140698896741462 0.0227247157019889 0.000630935580718829 0.00393887687294343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0272211620555128 0.0303233636767161 0.00218375113952466 0.00231528848849275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0274445378335106 0.0382132906795402 0.00232081718388316 0.00728011731414096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0880297009046477 0.0866909949441811 0.0238956971046289 0.0184570705899986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0829950640852834 0.100410519827084 0.0239514735133428 0.0343174948501058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170167241279229 0.130559658255667 0.0855223496680536 0.0445615935230948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.13828708031697 0.159193490290546 0.0709792122273355 0.0738198648861988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39206843886844 2.38927281036178 1.4822693071955 24.274552002571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0163311906694167 0.0153639193844713 0.00658032119173868 0.00414157044496779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39290467567924 2.39008291538767 1.48073582923529 24.2885433622117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0163707094971198 0.0154582576301265 0.00666718387225345 0.00427003813076797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39406888389827 2.3910679300814 1.47829977683286 24.3043273199446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.017037327606226 0.0158970290831324 0.00687417565437861 0.0043516059600242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39507269317354 2.39141966501927 1.478650170182 24.30513793997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0212769311445183 0.0192844898867644 0.0079228663263044 0.00458568527993109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.38204373665502 2.37342392916322 1.52273840051523 23.9610908707405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0440048852515406 0.0415991647090272 0.0121800709223291 0.00699520481024154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.35665029747107 2.33833280694324 1.59714854793728 23.3134470352869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0680304796215932 0.0654467878125572 0.0195679718537696 0.0119531115421101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39125152093043 2.38788304449379 1.48554177549999 24.2478464322405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0195310502795452 0.0176075082079942 0.00769862703338751 0.00423037831315845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.38801085700928 2.38326335834476 1.49656498686762 24.156779255749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0279258276511648 0.0255665577140978 0.00912828884940895 0.00454355848721729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.38085285954545 2.37099972471297 1.52573671815916 23.9167245068615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0463701905220296 0.0446449576935209 0.012472615331481 0.00684509003962094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.24739808537642 2.1922957501006 1.88752970711422 20.733522823807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.122321025490816 0.124339209172714 0.0452196440548583 0.0377814696770637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.12094484480408 2.00286979724451 2.31095152328743 17.5628635489868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.198330408361145 0.203446660397798 0.110945120966726 0.102626555096284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.548517744608833 0.547891340943823 0.289901063102957 1.48246185698644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00631751517310672 0.00835508484903076 0.000277976278537858 0.00184109938771581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547856040138174 0.547214576331862 0.290057831756245 1.47943997468615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00641854408230666 0.00860850382869042 0.000288328539231614 0.00198733530322385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547965708496677 0.547324165200442 0.290574006226975 1.4791592800412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00739076073225827 0.00945521717786126 0.000331245003279737 0.00173546782857832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.550332937920769 0.549234419821148 0.291570194567208 1.48439430702935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0108382920590892 0.0134128281920086 0.000506600592492588 0.00206542862341251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.55539928740188 0.549171643244708 0.299345546554548 1.46925712967068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0277378759631238 0.0307331027184032 0.00238016732723638 0.00355393923559574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.563549733385527 0.548391268644178 0.313983954446975 1.45147100153795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0456835024953088 0.0497216872260861 0.00650387311028753 0.00802051404328917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.548556090963452 0.547857958142444 0.290809625666271 1.47908173714486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00968713638218102 0.0115466457089439 0.000442207847502488 0.00156915886169496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549632187466828 0.547749108480421 0.292180754857126 1.47161187540082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164363262881356 0.0189058216461655 0.000938866606154782 0.00224835775351082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.552798510852238 0.545954382746117 0.300283832250079 1.45095089102454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0310607006794858 0.0339475747098219 0.00300352433599012 0.00422102285025037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.597557053907711 0.549255239064513 0.37530584161748 1.42449865214056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0921661165525734 0.0968722726048969 0.0275461733481448 0.027803938990275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.657548394249592 0.555814933314468 0.479588513700457 1.42043414391939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152773107233168 0.156989615090256 0.0784704788675452 0.069047361076689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01229678144454 1.01285949955131 0.575571347809875 4.66362958453059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00639700286740411 0.0142530137377324 0.000208021943639121 0.00522541536019396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01264179979855 1.01312839401179 0.57549831597927 4.6656531336797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00654267355561115 0.0142687678402248 0.000223216022919359 0.00515297370583385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01258356667894 1.01288067143967 0.575802532632292 4.66214528503076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00792265426776045 0.0153728475395826 0.000301094338700363 0.00507430851830745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01357065920747 1.0132243242852 0.577481013174742 4.66012681908875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0124285462111189 0.0195222478579181 0.000588729459272823 0.00508234574419817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02017791458713 1.01340307546317 0.593036051282417 4.64114274191821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0335202829656343 0.0397524077080191 0.0033322409172366 0.00676675474085837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03033479115876 1.01140282698521 0.619004913898495 4.60584794478715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0553160399855382 0.0615276240755338 0.00879050558170932 0.0111869063416527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01345002238744 1.01323834957381 0.577235848664502 4.66288107566328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0107518705737638 0.0175738727906387 0.000476005627199784 0.00490986340526323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01649551011395 1.01454839994983 0.58017924652826 4.66396564091756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191211998262304 0.0252529782262878 0.00122118207471673 0.00524608074144853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02464598410801 1.01626598815557 0.594314732338574 4.66102329586937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0366566820592303 0.0421691572335504 0.00395922961096559 0.00726503777542665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03915982524427 0.977630829555381 0.719865798267704 4.29715422602095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110210668921304 0.117349224121071 0.0375496175569935 0.0397736532835791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05344277567976 0.927438851288148 0.884136612225787 3.8557587709487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.182041040953497 0.193263661263157 0.103662792334468 0.105282151525161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82181542309316 1.81948091851486 0.163116415525904 13.4021248610534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0111687387694291 0.0101407919919526 0.0035522463412688 0.00105090715872718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82123147489608 1.81883344837093 0.164534155570996 13.3942047714486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0113630513526022 0.0101772386293725 0.00359597209480981 0.00107226242628407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82035869109115 1.81785593061057 0.166746487101303 13.3818329731703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0129245762556595 0.0112368535499013 0.00368979839812568 0.00117042230050727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.81909624993163 1.81626847854417 0.170605832852942 13.3614131673799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0182542596347606 0.0160255261883872 0.00426592296854703 0.00157419430075315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.80024612144223 1.79426759313572 0.220038021276671 13.0825909041291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0415903281440344 0.0401367435332834 0.00778223330654585 0.00436779483897593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76805995661709 1.75528708014049 0.305696090422806 12.5895629333542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651955961259082 0.0653039324280543 0.0138496116831282 0.010586691688723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82017088598329 1.81742338964009 0.167669697279131 13.3757593174822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0163217439157856 0.0138647341509068 0.00400558951992955 0.000943233026405059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.81534228825526 1.81168287052628 0.180445733797965 13.3026713472509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259136036226935 0.0231717945209772 0.005096679937709 0.00161479983602926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79708920843132 1.79001000934213 0.228432234862374 13.0279180601122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0453639646687074 0.0436909792829559 0.00830067319578771 0.00494021143403104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.65424109748594 1.59967100798262 0.627565796448438 10.665825909114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.125767441449769 0.126498302997615 0.0452689919612291 0.0395328732616251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.53930296189558 1.40940061923283 1.03193884685685 8.46563312584883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.20519892318885 0.207622470220143 0.116837209715122 0.106854713088927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.154875929932989 0.154409427108683 0.322840341963636 0.407711040379194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146407245119081 0.0156941810394681 0.00572467085814213 0.00698236649640499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.154696919468732 0.154105430933566 0.322385886724483 0.406584800912047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146391673957192 0.015744295576412 0.00570316431475152 0.00697254666305268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.15756702191086 0.1568739481214 0.326966892264092 0.412949475617725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0155235923033108 0.0168468526559136 0.00574578863457632 0.00699423430779746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.179950772676627 0.178487439499343 0.367170522825772 0.47391617293977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0196602156682108 0.0217946944996414 0.00539546135270434 0.00731827981636929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.335314516938686 0.323200716322814 0.664894363258541 0.981809194104258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0434979716768811 0.0466810009540022 0.00769613555648949 0.0112157094591449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.551810016305091 0.517884448647946 1.06580976488089 1.89472822995937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0691498304557482 0.0712932228606144 0.0147428383441138 0.0161525786583907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.173817557238966 0.172584132786489 0.356652841378937 0.458646761191498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018097326626173 0.0197789077387355 0.00559937360300691 0.00727477480280566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.221399188111674 0.217622696218619 0.443667880528767 0.595612748285337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0268546899973048 0.029422121348927 0.00548177569294299 0.00853020733629743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.366295385465944 0.350930377565338 0.724825254603783 1.09874685277943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0472538281963488 0.0498346824171749 0.00849016320891412 0.0123189286371937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.896189368528685 0.802279511109844 1.60309467209915 3.58290403766041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.132637643992996 0.131944248959341 0.0486306213758246 0.0453009543566062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1463211571063 0.977233202933391 1.99423677512307 4.77928872709962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.216970535609525 0.216075649712299 0.127303790258334 0.119983839996513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90665819192468 2.90489025538182 0.945672222812941 34.6736664377502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0149631403749182 0.0229477214601466 0.00496306278581457 0.0165411644092988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90510106629599 2.90329207729846 0.949921160364042 34.6403053029204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014999277819596 0.0229956910075094 0.00503766808571344 0.0166385288499038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90517259541911 2.90316017526174 0.950442068997154 34.6374883298757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156365109772165 0.023444801232239 0.00516159342480322 0.0168736622286841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90429079790734 2.90158342309815 0.9557125229748 34.603413317451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019590909182499 0.0267104223612102 0.00550057330743886 0.0172227311653332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.87991514047518 2.8719125260389 1.04734190630091 33.9830602553084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0425825893646667 0.0480376085776777 0.00857891361307878 0.0186444965570507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.82456201219201 2.80686923242596 1.234415591407 32.6373384390993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0669538645222066 0.0706540481187408 0.0149421159120018 0.0208605048946054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90620940427159 2.90378133971323 0.949773162407701 34.6508550681787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0180588189191838 0.0251701172520895 0.00529921359356361 0.0169624590532458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90081940262156 2.89690187694818 0.971342691351381 34.5045246048647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0268745828634827 0.0329986225237897 0.00614961926077567 0.0176993794008777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.87491053391365 2.86584888613372 1.06527671023158 33.8548940257057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0467042149783855 0.0509498107141572 0.0091753343757197 0.0182897704392036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.64041063362225 2.58281730233454 1.83042202313245 28.1413214135694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.129098112809861 0.128234392157094 0.0461509813043314 0.0445955892475928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.44047365808425 2.31348181046875 2.51725842598369 23.0643933149944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.210912661484914 0.207896913130619 0.119343455123098 0.111547315172527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0105048486943233 0.00051227671813111 0.000546977054017511 4.8707213125757E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.012890160207556 0.00308217938553719 0.00355160378894355 0.00116592109911995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0105031700845426 0.00246419131368095 0.000557285492016571 1.31563697074754E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0128924059760274 0.00503413427470056 0.00356116494766991 0.00119454353956741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0110059079077848 0.0048679535233658 0.000606914477518391 5.60911484352184E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0135484042070052 0.0074873145331637 0.00375814731618897 0.00128797893668125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0143172224407689 0.0097044030952107 0.000871802079408302 0.000232304084367737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175141490201871 0.0127177661018643 0.00473911500336686 0.00177283658513318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.033614298657553 0.0290809970153853 0.00346721932861426 0.00213277633171318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377786112078016 0.0332461606598869 0.008291712097114 0.00525112908672358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0542782465702997 0.0484402946236054 0.00834845678104341 0.00591746995830624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0588986251088667 0.0537463883471238 0.0136812981517872 0.0113373315180413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0130073836111043 0.00796646456531374 0.000759166204584321 0.00015430899057623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157480658984966 0.0107049780946149 0.00406017695089787 0.00149562114647804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0203015342904769 0.0159171875053459 0.00146761406458862 0.000630122828166958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234396256782453 0.0190707188984948 0.00515485687955738 0.00241305596790127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0369302936661845 0.0318158028713558 0.00411311988825599 0.00253662254773404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0405116430353688 0.0358088922190936 0.00820958537545638 0.00560545717807632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.106593999852115 0.094981308970851 0.0304424794457104 0.0223669505226949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110638945528239 0.101676745016373 0.0366174848733298 0.0330750479071298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.177970404799584 0.156774145822726 0.0842135483482926 0.0603587941997984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.178828028533174 0.164829147383059 0.090883867703078 0.0785334713823453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00769814378643322 0.00519713456376372 0.000240304979615954 0.000109144659773181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00838937083398104 0.0236680505810391 0.000472877622657428 0.0209785052294104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00779992938597922 0.00548608375223537 0.000257112628183417 0.000127615347732406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00850504069764238 0.0240561924854218 0.000493010803380262 0.0211548392378351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00904920913291308 0.00728845113328859 0.000336980564884017 0.000204500839181375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00978003124303371 0.0258911486935011 0.000583541180247289 0.0213460660190113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0137357529149879 0.0123544830501571 0.000678838789120434 0.000496573047673936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144754971038306 0.0308140923087128 0.000930540849081126 0.0217492181580922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0364651386171699 0.0347469077266153 0.00410856395767289 0.00315009576158325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0368741288472368 0.0523117591825033 0.00426012405727839 0.0255425342986919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0596494273086141 0.0571830810531526 0.0109806265675972 0.00767071784529262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0599427016075152 0.0734831176776668 0.0111501251005825 0.0322031422431949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0114999448053998 0.0103542126635865 0.000502595780864892 0.000366807144795115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.012208879867394 0.028765212610993 0.000736123547387681 0.0213498370513414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197962395958546 0.0192099796970813 0.00130755152739752 0.00108155461351737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0203984203360889 0.037301958752759 0.00150494044039802 0.022196806187921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0376930819726346 0.0375024180493357 0.004438850580547 0.00361742742302566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0380545160618659 0.0546880656986413 0.00458313772249453 0.0255352085148045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.11016899108692 0.111178188926285 0.039994796929226 0.0242416854750105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111291614685617 0.126147080002182 0.0426868997550729 0.0569613794570325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.184540429501604 0.186351708459239 0.118239264961781 0.0573229503087989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.186185332840336 0.200744409041511 0.128389059163214 0.104466433142498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.371113656948876 0.370317510599047 0.14989141557067 0.69341406912123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0060864859486459 0.00689467677452803 0.000326172008988151 0.000472800739889631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.371821318913551 0.370998612630682 0.14968052011209 0.695189182939892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0061793818313537 0.00694818363602361 0.000330145263354852 0.000455159467038827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.371182658051143 0.370251333300844 0.149684604759175 0.692329107087401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00718862018890299 0.00774334374839337 0.000373810738998518 0.000470455180876348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.372456921973024 0.370983673458054 0.14993113123275 0.692406140717913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0102736621351513 0.010581015948166 0.000500269063194598 0.000571626570874798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.379839767691144 0.373132947494841 0.152169720185015 0.687960071758084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0245816560210882 0.024627573583108 0.00198197611372519 0.00208043709847844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.390627360550762 0.375208609109833 0.158852730276933 0.684361104137812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398718360428994 0.0396100677325353 0.00549200084936245 0.00547311774718587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.372597502891314 0.371267239245116 0.150172259459501 0.69423595600422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00919914039785 0.0093988717913865 0.00045312986317417 0.000520795210312007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.37543628153184 0.372570386584375 0.15094810940527 0.694122532653857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0149244466998459 0.0148108439677352 0.000818034694343204 0.000797759554009037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.38288778533511 0.374824042911901 0.154105083378924 0.692597756682994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0269747801098312 0.0264484447802014 0.00240305190279969 0.00244671148797608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.424141862130808 0.377958154410249 0.18790523861919 0.672868167293732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0786031717437898 0.0755343306823995 0.0228422747397505 0.0191426288397617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.468094189825078 0.374778505732662 0.242109868455004 0.64105403791888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.129305828169741 0.122213387695267 0.0631529085207141 0.0467791065350566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00520498429087996 0.000547102973085151 0.000118959433489339 1.29433425202281E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00532183590770376 0.0122420382979792 0.000164482656201964 0.00341726065272513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00527490442533392 0.00237846367015743 0.000126128620686562 1.67092399386222E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00538622710744504 0.0140406131663256 0.000144668093976363 0.00348294189506267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00607644247985629 0.00466628480627825 0.000159966403824504 6.04152026188255E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00616797945426025 0.0163250444193586 0.00017553488260653 0.00355435535314629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00906489468975384 0.00928399088532877 0.000303133344337271 0.000230712627359198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00910720369490825 0.0203657221670632 0.000311243287007992 0.00382593430644386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0239033735217823 0.0277529418639861 0.00173634595476763 0.0019770037678946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0243761593577341 0.0368350158447184 0.00184075502815859 0.00701641427590978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0396177412916727 0.0459783956658659 0.00469374658958666 0.00530343905688537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0399282620835722 0.0552338074018925 0.00494437807781948 0.0129129219281079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00799209458909964 0.00737821790561617 0.000248394297957302 0.000147900161725822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00806809334904528 0.0185427496583198 0.000262086494338297 0.0036413448019414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0138650586085418 0.0147202626138325 0.000633448016060136 0.000573157729297328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140466777796327 0.0248698872429034 0.000659151272458919 0.00444707037943972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0265921039465184 0.0293693743065542 0.00215883817921712 0.00222256501999992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0270709241116983 0.0384265195663675 0.00227194375699098 0.00741163971294132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0855770735469116 0.0830678762284741 0.0228309856726821 0.0172480220395147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.080258701174745 0.0968080932718248 0.0220173492818596 0.0328243230764938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161590941519317 0.125308165009964 0.0771674880993309 0.0410990070428846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133004901093413 0.152405698467276 0.0649200862133049 0.0709070653524581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39786529911657 2.39448194400605 1.48072657575004 24.3648317999224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0211508774235792 0.0188219123424872 0.0106165396672757 0.0050140579801728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39475841999031 2.39128223102028 1.48629541781619 24.3091602618581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0210139574800086 0.0188336748128158 0.0104283786585936 0.00507158832370066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.392683076077 2.38903005066146 1.49027617872698 24.2698032227147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0213341925513249 0.0189561298496347 0.0106254217475768 0.00511341569183744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39353625017573 2.38934934289652 1.4920101585263 24.2731197326331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.024068893080024 0.0212885651456684 0.0109903919332791 0.00527338866078461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.3848350950677 2.37614487149931 1.52318306417432 24.0133438751961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0437607566171905 0.0412823428070774 0.0144277994502397 0.00733822174116602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.35795589792388 2.34047559274081 1.59380730769147 23.3551365834277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0650425691083126 0.0636033320146278 0.0197862287782089 0.0112962919251356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39639540252629 2.39235020878186 1.48505984520409 24.3260221850513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0231529879345536 0.0199863551049331 0.0109449044942455 0.00485997569402309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.39380369781199 2.38819484058012 1.49598979582678 24.2458130153721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0307582941288843 0.0265247874269565 0.0121684163408148 0.0053001800314757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.38581114980324 2.37521674366128 1.52830516402998 23.9968540124524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0489657774188363 0.0434355261310385 0.0161376710930147 0.00689054039342506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.25219010412156 2.19622450501505 1.87742518057575 20.8040340221305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123603235486428 0.117526221577665 0.0477641583302323 0.0342697252464897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.12793612482126 2.01226879938806 2.26965571690159 17.7110671826214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.19929706619952 0.191390455344315 0.113082956500018 0.0915980546783379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549257329504286 0.548175525228876 0.29076280475916 1.48274016485459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00875420989889779 0.00799917876375299 0.000619713952784058 0.00106164466813343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549364281790152 0.548272382365887 0.290749319576942 1.48305668149898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00869992194359399 0.00815642099156107 0.000603386623012861 0.00110495090958369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.5495124524196 0.548438118703315 0.290778880913194 1.482780966944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00936194266006153 0.00913095397567906 0.000624461854164097 0.00122143295981948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549795606515712 0.54846152026526 0.29146108641268 1.47968735193715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0124358764309823 0.0125494160119277 0.000777635862425647 0.00128689845156123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.557083338953312 0.551127097014714 0.299889037116239 1.47787638045181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0283726366441583 0.0300300835076912 0.00260330737467404 0.0032283597007351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.568169671543022 0.553390017093094 0.314270467946977 1.47434923521905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0452246258385296 0.0480192850257966 0.00645696507718692 0.00711724556334753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.54934973706382 0.547959902845877 0.291658531747966 1.47927248623971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0114141506380826 0.0112446490398414 0.00073820940052378 0.00129153972555357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.55074936698095 0.548066908501617 0.292687980962314 1.47301203081526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0177380454328167 0.0180519899942779 0.00121416358488993 0.00169779736343424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.554882536682106 0.547107170122943 0.300871020031664 1.45720877081851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0312491023500081 0.0328213169482794 0.00314946204558809 0.00369375960872282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.59345853346495 0.546411747149837 0.369615678574945 1.41212666221556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0889946314366603 0.0934309225364443 0.0256451881872195 0.0257310108103471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.65059198718648 0.552479392424455 0.468370837654063 1.4072203811705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.147106741502174 0.153149657177193 0.0726214220279466 0.068722911265749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01239190580075 1.01206788248862 0.577760985314322 4.65535531969239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00800278464707499 0.0162273791359077 0.000361890174257162 0.00543883175191067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01426764295284 1.0138727444228 0.577218918749184 4.66940910291569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00808150108716053 0.0161155271968235 0.000375059352721696 0.00534417815829086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01436683632619 1.01383937419317 0.578104729591592 4.6689251097881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00906367718852591 0.0166469912644 0.000461245276874238 0.00531409723817794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01527855781059 1.01425311288151 0.579972406705062 4.66869858701897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0130331081936517 0.0197899364358547 0.000739225198944459 0.00523996112455512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02332930426124 1.01663776460276 0.593163506513114 4.66847303411313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0327459406916969 0.0384100842543351 0.00328466391326468 0.00694699925563106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02751592393537 1.01052376167584 0.616180126921847 4.60046658615773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0530193901184594 0.0580968641986074 0.00815132230559334 0.0104360390410041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01564639784148 1.01461905356235 0.578506471772128 4.67263610264266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0113951222876663 0.0187781547107892 0.000586118566142239 0.00552783159421689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01653967317591 1.01398272748351 0.582935225752246 4.66044136099519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0193475192562269 0.0255910110766561 0.0013305873960531 0.00573110823209666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02369848656978 1.01565922255473 0.595063846326125 4.65735832966787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0359650372645636 0.0410806528176495 0.00390887904259462 0.00691634922317473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0360257569527 0.980194838167039 0.705957553845141 4.32062679466948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.10491567946162 0.112052078119555 0.0336156495358567 0.0366140045836352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04468606136802 0.928777622550101 0.856704714914592 3.8716989630075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.173174470402708 0.183398575083153 0.0937072326775726 0.0964226715719427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82423926644541 1.82160170092274 0.160961771545433 13.430297932829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144239609058495 0.0121973225911758 0.00525963381054752 0.00124311831922509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82390142864004 1.82126140747023 0.161827793079636 13.4262160703957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0145971927823625 0.0123129973022451 0.00535501791134634 0.00134899420676405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82361713986392 1.82090198570984 0.1626503025782 13.4218065288773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156116396355136 0.0129723838122734 0.00538112082596177 0.00148498864796085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82188242285719 1.81889734307917 0.167295566544365 13.3964952622949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0202137776830429 0.0165083321573073 0.00584603246838104 0.00144658303119275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.80163229041002 1.79581345170243 0.218900670034165 13.1047247627466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0424656373400387 0.0386412201643355 0.00955378298373803 0.00411375142653919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77266979493056 1.76117897554663 0.295726357225146 12.6672796212447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0642560105217448 0.0623241247728412 0.0144967239122117 0.00989663060537324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.82353310492762 1.8206706273615 0.163270759321729 13.418604819661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181188123344729 0.0148222350429872 0.00541568729819089 0.00126241286452566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.81974664033459 1.81624517851656 0.173446605986457 13.3625937127055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.02670291786444 0.0228259487336171 0.00633027379735938 0.00198501588221488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.80290253359405 1.79669702286927 0.216807036096108 13.1148819293007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0448776261071505 0.0409927635687471 0.00926840284514993 0.00433049320955233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6673067438606 1.62122687530154 0.584590137736085 10.9309950712613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119336387425692 0.117310050683009 0.0419290502998952 0.0344980287720542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.5429481451403 1.42769081377724 0.975731040148256 8.67547068280422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.194173860211678 0.192554417651869 0.109091144677246 0.0939761011309374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.166360182469694 0.165485513109209 0.343020653327921 0.436992298709344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168601863971692 0.0198106238692822 0.00528751715855822 0.00880442997529515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.168217982494051 0.167235703617762 0.347133951708473 0.443089907602317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168491500162113 0.0198023927316882 0.00526382034337396 0.00880018376341965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.173308983132758 0.172064561628125 0.357367477629348 0.458328390675105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0173126664668808 0.0202249828794967 0.00538725903725581 0.00875831619091333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.191903051380937 0.189804787922511 0.391301116160925 0.510836933575957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205978248747037 0.0239617377562121 0.00551949128783177 0.00923549089856616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.32777120523836 0.315616056222153 0.650305806141199 0.952684808971115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428025431367685 0.0458772816445673 0.00878736805313058 0.0124379621260638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.517472302793363 0.486142786350974 1.0020659908699 1.72629630277608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0662203687563297 0.0686072132570966 0.0142980127987398 0.016835174794395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181697038942027 0.180366316415283 0.372667791237611 0.481690970060784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191180924146722 0.0225443269325554 0.00556683417303184 0.00912891999228571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.224001647144321 0.220700085931299 0.45153076593336 0.606407160949372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0269265444863232 0.0308779529659144 0.00635362552928605 0.0101348099009393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.360805181801677 0.34744735341614 0.717070648812712 1.08483554061891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0453169673600136 0.049808568833063 0.0089335049114591 0.0133341661988616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.860136652255097 0.776100051107184 1.55021641183504 3.40611992396729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12432625956942 0.128554467741532 0.0443229405276187 0.0437441577767892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.12054286856125 0.967436372471501 1.93319778186473 4.71791952285575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.202874802150588 0.208859455496463 0.113450913675416 0.112209518213331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90667425321132 2.90430396183918 0.957959782233076 34.6662413954424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0187986342953098 0.0276790428577475 0.00636288258895515 0.0188633641555623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90482734685975 2.90238907489711 0.963549586291697 34.6274307915148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0187800887641677 0.0276283093248972 0.00632737054280786 0.018797994933123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90333078273901 2.90070725776516 0.969334835052998 34.5944194267838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190260114240555 0.0277699866392564 0.00634321256037719 0.0189882011815379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90238670309187 2.89920306018093 0.974418421116547 34.5631620698752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220358103599699 0.0296619691651777 0.00677448538523592 0.0192023657926901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.88131439807315 2.87351309944609 1.05155966478707 34.0231633886888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428117791681797 0.0475881748464234 0.0095258335462475 0.0196255690798795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.83623660772543 2.82027826794439 1.20978850614691 32.9233200075854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0656538447893461 0.0686829076559617 0.0154703816171853 0.0220758605530253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.90280678107485 2.89987131366674 0.971289464213182 34.5761688760796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0207380717077687 0.0288103685263584 0.00663602420010584 0.0190155136887079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.8980446589848 2.89384108357826 0.991244953568213 34.4499894874969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0282410994578327 0.0352036001818315 0.00742110039788359 0.0193580902296526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.87161516704181 2.86280675554554 1.08191143504801 33.7999004849954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0468894248130934 0.0522066079935532 0.010881857980904 0.0205954254324505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.65487375415488 2.60353202449312 1.78241459060347 28.5477732259796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124591055214883 0.126827159730171 0.0442237232892056 0.0462071358952754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.43870863926727 2.32370236197602 2.4682068191608 23.2495187174839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.202785300864881 0.203083226432788 0.111633897960703 0.1087861239136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0123949437175632 0.000576243437833343 0.00070389803775096 1.42376590698984E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160062976235045 0.00426857868546556 0.00503783305220193 0.00166660571102061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0123995782844629 0.00230565227600938 0.000715643181597438 1.11530768096494E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160906955815641 0.00603125083560224 0.00512145139389262 0.00170586219971347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0126734346129176 0.00452664043352886 0.000760686283372242 4.75772335255583E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0165287072323336 0.00829579817022373 0.00533631822100807 0.00178750765130375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0153418733736756 0.0090099456645748 0.00101225513760891 0.000197784692615946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0189791701981012 0.0127725489380863 0.00529657285767472 0.00207086845287097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0337367516669183 0.0269778225460468 0.00362398756508384 0.00182205923399549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0381593296851599 0.0330452001864332 0.00873807159678175 0.00564451619480177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0540357092164863 0.0449062625460159 0.00847725206011298 0.00505591058462771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0586959009905484 0.0521109626787782 0.0140103102078895 0.0116354792249332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0137734614191706 0.00769561603421765 0.0008565037187047 0.000143110378770768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0173571355983871 0.0114559167201221 0.00506231613181475 0.00196863403696602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0197073870390565 0.0153612745371661 0.00146385698440375 0.00058546870717089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0236069408668192 0.0198992511122632 0.00593706090803652 0.00297901962840571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0344724993952371 0.0306924036819318 0.00375282971405701 0.00236120771911793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0390820163019435 0.0368314857707236 0.008950707031226 0.00648710256060772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0983922443057845 0.0914901419890276 0.0260635382895159 0.0208675450899873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.102330039362366 0.0996819760945098 0.0323837504584401 0.0339566341772247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.163834989511164 0.150516369575479 0.0693488465311652 0.0559472558195108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.164531311784008 0.160052691078814 0.0784804745355071 0.07807537744803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0147061073275387 0.0103800641757209 0.001245287172459 0.000601726152429668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0171244579947031 0.0422098881870183 0.00237275813546738 0.0363747454441868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.01479931194623 0.0105479339256807 0.00129259676462818 0.00066134403758548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0171681135800899 0.042404776195987 0.00238921523815064 0.0365798359698939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0153773584646231 0.0113040059054549 0.00160950240757028 0.0007367664531254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0174987996628525 0.0430862623211239 0.00245581010599455 0.0367945101676837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0186393963431385 0.0151589914010334 0.00282976063913254 0.00130153000012225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198923809279866 0.0463516277572603 0.00270702741687822 0.0374113144897082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0416046921406499 0.0354783843804836 0.0164155970686701 0.00454923989409577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037940226310016 0.0663864639618765 0.00573326008866257 0.044200785857759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0673937671180906 0.0570892389063642 0.0413863580816412 0.00953036999628599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0578580756474536 0.0878146582350137 0.0115778479016042 0.0563827092602708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0178222525684066 0.0136455876490839 0.00387578197034854 0.00103569221134267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0188421904924418 0.0453203069386866 0.00261201486073518 0.0374999295497135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.026217901511731 0.0214651248611341 0.0108173253635028 0.0021748808322286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0251661191762101 0.053094374068784 0.00341960529995061 0.0399937705163232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0465997835998978 0.0388046164681481 0.0313042364148375 0.00516191616543237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409852449606163 0.0709752864872676 0.00654140168810359 0.0476954173962301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.134326852424155 0.112033332226616 0.16358959460301 0.027338385121461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.11148004272432 0.144951710477297 0.0459704447007159 0.112562526603298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.226124710610727 0.188812820920192 0.383474306262734 0.0596737609292909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.189650984413455 0.236759936063169 0.155584557890156 0.261482933118236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.39433231993034 0.389223769411615 0.164788542360005 0.757650006055965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0182694674017739 0.0187741940390371 0.00300941451175434 0.00361599160904933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.394730276914905 0.38964826668868 0.164875660326674 0.759074837367617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018278622864375 0.0188307931554175 0.00300066008579093 0.00366961679878855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.395746819155665 0.390270234024199 0.165346941533254 0.760781304302614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186983844826934 0.0190029153852802 0.00303368802010783 0.00365238759457849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.398567423925056 0.391561242287594 0.167514221103868 0.763275154582805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0206895930159192 0.0202354087929007 0.00313273984771567 0.00363306695522665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.412726914306261 0.394899455112114 0.191756422486948 0.764617379421675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0326500699012547 0.0326652967724082 0.00468800323781592 0.00544974129979962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.42962981155021 0.396822966576748 0.236013414502546 0.760487155510925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0468969371344025 0.0470457905122324 0.00887468088869023 0.00973896637139758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.3964935088052 0.390266482573311 0.166500866507162 0.76012360480784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0197270415686762 0.0197823332248553 0.003039245655822 0.00370408484317923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.40078657046158 0.391265895195441 0.172834190506485 0.760062008174024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0239748712456072 0.0237552635334964 0.00328535489064496 0.00400026423766749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.413418689543542 0.394217274230825 0.199595759438451 0.761351773829233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0342118158246988 0.0344205301010202 0.00492485997294964 0.00593003875829284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.4682490426309 0.391992638870595 0.402518276105162 0.722174071856155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0877917627554145 0.0848324819947856 0.0333121239864564 0.0288468452936628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.526804584722166 0.387119548526254 0.646788656573362 0.681107046705859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.150698747649935 0.14464822864653 0.110077225682328 0.0874657544485319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00941338947603561 0.0050788373005425 0.000443701694677512 0.000481248661682428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0129407950938622 0.0313861470999606 0.00170278887980565 0.00881591239820371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.00965652667415696 0.00635436639406142 0.00057149809549059 0.000614204372851334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0129125063124252 0.0323785976157208 0.00170465045744166 0.00887983888739045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0104572288784556 0.00848290550846715 0.00103383340298933 0.00084825717130045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.013111553805086 0.0338534645001382 0.00173377055589303 0.00896183941758323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.014037580389743 0.0131378191162485 0.00446721717814838 0.00140239825161282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0147598667533579 0.0363054100788699 0.00189969278644379 0.00925898905963807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.036008029350106 0.0318292712109191 0.0338616744590706 0.00444237515339343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0282954840977117 0.0487885576572473 0.003743095424716 0.0134412318183661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.059772607187494 0.0499053632274819 0.066908816808807 0.00881218415477542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0441976433521824 0.0656516085391185 0.00775621469398502 0.021370218053215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0128519950901167 0.0118909628529531 0.00299511875496628 0.001294068737186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0142083461208401 0.0355735455215423 0.00183826675388929 0.00919394046472392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0207787257475712 0.0196950467330621 0.0106636881751511 0.002376981699502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0189101492742917 0.0400069324975717 0.00234405417166361 0.0102687728715461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0400513395722934 0.0348936098059337 0.0397623406345001 0.00507419707724971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0315292605680989 0.0517340173602213 0.00445064937400337 0.0146685218050308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.125197716386397 0.0891958196095571 0.247589955848569 0.0233469478849946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0863922126811206 0.115118993988521 0.0303106766220747 0.0593426120983831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225884049606398 0.133934117683184 0.528832143333359 0.0510868209533647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.147583994529632 0.1882300537741 0.103564215739346 0.154919718350933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36417307015756 2.35790488488761 1.53334944098883 23.6619020476627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0396636056816144 0.0386032489076218 0.0274154053280457 0.014867047875956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36502824523474 2.35864090781068 1.53100573549342 23.673867383988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0397759303284757 0.0385778038407963 0.0279968002845686 0.0147711241455585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36382219014278 2.3572423025607 1.53211613655273 23.6486822260103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0397142541337821 0.0386394983931772 0.0276708341072477 0.0147893583237211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36401425152271 2.35673826493967 1.53415549782622 23.6396309488047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.041291592749772 0.0392846285003064 0.0288563134161765 0.0148320200094152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.35158963610104 2.33847332803804 1.56407819259122 23.2993944624429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0576199456480241 0.0533992381994123 0.033557939990818 0.0180074292884399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.32804325362724 2.30548590766257 1.63504978036893 22.691152127205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0788305885419897 0.0738180181033262 0.0435290690087002 0.02593084926026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.36037230122083 2.35349483319269 1.54311343832532 23.5878795212781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407774219252049 0.0385759067080394 0.0282778056202021 0.0145575423777333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.35732180082583 2.34858492179083 1.55675984925253 23.4985928775931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0459259308217243 0.0417643250006005 0.0301659702724735 0.0155625899215233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.3419846724445 2.32797452102478 1.60904087784414 23.1197495745213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0615247180643515 0.0550752539925605 0.0347326823423629 0.0201467519093037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21645076705219 2.16511340950413 1.94016630717539 20.2236932815734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135621783657737 0.126360526026185 0.0833978550023077 0.0671561940295145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.08791658663792 1.98907527030263 2.35630626831204 17.2525834957357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.22428991757588 0.209413859524358 0.213364527415116 0.180371791077602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.569636203579916 0.567397285270613 0.323227188933769 1.58536814651861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022916362202992 0.0210372932296812 0.00509669072205016 0.00592559337554803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.569230839350694 0.566888452016672 0.323629260410221 1.58324711817895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228802079881874 0.0210905592662957 0.0050916424517146 0.00590495648633631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.569207989312036 0.56648768227336 0.324163953329544 1.58095568742178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.02286669038934 0.0213798990921993 0.00504729872750405 0.00587794380302932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.571273763788773 0.567475556654227 0.327215395944042 1.58330912106235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.024398502646021 0.0235702512227907 0.00512289836040561 0.00611988361382826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.580187584933175 0.568907673382819 0.34699024739554 1.5730970735553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037536774197903 0.0389552870879016 0.00701126683517536 0.00850535717590512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.591195700154964 0.56919327868291 0.371496443700938 1.56039495474576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0534698522646877 0.056006065832443 0.01169835184974 0.0131976823959018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.569502067148358 0.56651248988593 0.324459277898331 1.57993187730269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0241688380063197 0.0224365088157421 0.00522980428628073 0.00607329659294182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.574236040711693 0.5692045990391 0.330675968930925 1.58694370672049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0284480093601982 0.0272546548528422 0.00563875914198532 0.00645218676245646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.584391808920043 0.571916719472196 0.359857626774076 1.5883146752582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0399578205552395 0.0401348675800074 0.0078040877573895 0.00892792113629443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.625563406663191 0.567625327998459 0.508030832619534 1.52220911182198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0968918372602262 0.0989664599066129 0.0397135548602879 0.0381470217466322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.674478548312374 0.561525213599429 0.68377071267785 1.45177326910184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163238065994432 0.166340979048619 0.123354187256698 0.111170546713217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04069467922697 1.03899148723836 0.617405640011689 4.89026310772541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0225551455966853 0.0290750586768777 0.00520458778095429 0.00988955014586291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0403427969368 1.03842823906576 0.617460716326857 4.88596272423648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226094913555503 0.0290235322220603 0.00520644048772947 0.00987225704550553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04079380728518 1.03844297949657 0.618314847615138 4.88617888994991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0230749964434222 0.0292684427696824 0.00528525365433603 0.00992644606131693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0426081835439 1.03904240492932 0.620929292431398 4.88922010156617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0252399040781831 0.0310536183167486 0.00538923091516489 0.0100558857466688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04828723807944 1.03638769712412 0.649618969558027 4.85450631503835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0417880261400318 0.0476684169230019 0.00799047626637468 0.0131259386524426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04885644867863 1.02424513225568 0.687423231985431 4.73973993658303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0601489706439686 0.0656385506260091 0.013400592758548 0.0176038051268651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04196462249645 1.03874146301438 0.617605485139223 4.88522405831985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.024181867637479 0.0301358979127051 0.00531091636565472 0.010054564690177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04473773888677 1.03856057750471 0.625629786228769 4.87862495599921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0299515312439011 0.0349576981377235 0.00591566431260632 0.0103059566452639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05606290424936 1.04097401149084 0.647776092354097 4.88311570255339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0441155987319461 0.0495382827785439 0.00842375199062338 0.0129425560914955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.07028053900489 1.00042967797659 0.841128580924288 4.49335907682389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.112356796489747 0.116988583887171 0.0495767473641213 0.0480779065920717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.07628970536181 0.944855888155966 1.12965220777485 3.99118238088169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.192404124442687 0.197749591661135 0.165755945950401 0.145350954443479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77805896950896 1.77294103181851 0.249321584451947 12.7969233205063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0258812816574398 0.0275759036834704 0.0100752059381203 0.00710320189212169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.78031700567618 1.77491490375364 0.245824818558531 12.8219264162083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0258475609393584 0.0275678927928486 0.0100088197091807 0.00708817182603939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.78077545170166 1.77482510633476 0.247108659499239 12.820898213185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0263744386179556 0.0276513327321231 0.0101492732053275 0.00707815639986253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.78144542199192 1.77426072817323 0.252293292506196 12.8134460122953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293366426169347 0.0293111953146442 0.0105659252226963 0.0073172182854641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77250810920843 1.75821248518853 0.322027800966619 12.6087219567659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0492342251254146 0.0468455178200866 0.0143199305989426 0.0103912833864971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.75360140544023 1.73013847774029 0.435051674153064 12.2532684503518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0710539518820259 0.0682266834361189 0.0216610149748989 0.0170184436345401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77845219263735 1.77244623399435 0.250979395469548 12.7911836184065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0281979298532817 0.0281866299068533 0.0105580020475939 0.00692098093656738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77552963603975 1.7676107190963 0.264780602741582 12.7304894252971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0356325949118168 0.0334848905865085 0.0118739775545565 0.00784597406058787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76228885217959 1.749279169463 0.317984384808695 12.4993135652054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0534518658697798 0.0489118241136597 0.0162484844284222 0.0105412117521065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.64384417296295 1.58694532803567 0.749376277039757 10.4958517873235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.130219459465311 0.124247061258846 0.0630953770716764 0.050612735384405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.52112635464748 1.39962551234347 1.24394818593637 8.33592873456734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.217133044113855 0.207650675600228 0.188373181374348 0.147616169864668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.204790297343748 0.200389917080269 0.406769937139959 0.510727505287035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0336471623786094 0.03540398196416 0.0123544980909552 0.0174653527945392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.206514871973888 0.20205593599138 0.410417789095868 0.516892227363862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0336682710101852 0.0354047773134232 0.0123872687893676 0.0174912566983356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.210771174744891 0.206088451364177 0.419390355464383 0.531523347528394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0335648002866066 0.0354666300616856 0.0122945998138917 0.017517613785392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.224487111420275 0.219135610634145 0.446774969698945 0.576045386394351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0345315547152841 0.0370943697514565 0.0122985851062424 0.0180881097323288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.321518928322365 0.307173327481856 0.635853983246278 0.886097497830331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0502942422837516 0.0552788243186786 0.015306115362291 0.0235717445297416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.483898452545746 0.451615032163004 0.958205309690334 1.51897115381989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0709180287782841 0.0772632870632217 0.0216861700734646 0.0310180835113489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.218176509122777 0.213246926142668 0.433810259060743 0.555179610871358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034067351630944 0.0364235568223313 0.0124209575107999 0.0179804572738624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.244383752773044 0.237558294616611 0.48282945576177 0.634021147914546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0388361067056266 0.0415919008765585 0.013508382972766 0.0192635490206117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.350043670938189 0.333691018446309 0.687467260461758 0.994665212762443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0536377686878548 0.0579186449326461 0.0163635619597751 0.0242081233854937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.829080594568508 0.743142170135742 1.51219511973893 3.14734539215584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.130108135513166 0.132050187390037 0.0624265697969562 0.0659250354799495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.08881899022122 0.935910081878081 1.9082192474774 4.41080388509179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.220990942402305 0.217465515283679 0.185214817997716 0.177408569267284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.67528504506825 2.66840525669833 1.46678093475022 29.8412114417447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0380924154009583 0.049109655454648 0.0174724054014045 0.0346638656042675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.67445389153439 2.66755955484134 1.46905066416735 29.8258544548179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0380882454330619 0.049117561666357 0.0175488228236867 0.0348302807067395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.67335490089029 2.66634146964209 1.47176032412448 29.8032010457261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0382051113343564 0.0489836355924427 0.0176277596483009 0.0345668226060929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.66918821440383 2.66151191396081 1.48401700521866 29.7111243065215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0390886896161185 0.049685486487666 0.0179231034984538 0.0354888733267438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.6685926036851 2.65516890360039 1.50261665213669 29.566104883512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0538755382245661 0.0621577522333712 0.0216976319612746 0.0391934233896169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.64175541143542 2.61965097440362 1.60009397120645 28.8526878030683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0744771192459503 0.0820526992955155 0.029950304757619 0.0476374154776365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.67178184461405 2.66408776170047 1.47402500499984 29.7582810341241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0386996100813401 0.0490885533356634 0.0178726893886464 0.0344905830218956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.66759964087196 2.65802073521857 1.48618614947884 29.6383702124713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0427027097718044 0.0519786008034735 0.0187467197449565 0.0361567463014376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.6533411018832 2.6381771889201 1.53252161024898 29.2383497550654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0575069590642247 0.0645530637470693 0.0227870290121175 0.0395536225268028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.50433640094264 2.45043397328085 1.98308826502177 25.5763338996128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133115292206372 0.133921742528907 0.0725242807029397 0.0809263894164536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.30516231064428 2.2014843731074 2.51325676528259 21.0018060810635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.224503650893904 0.218206429670616 0.208799109762668 0.195317341212597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0230067657408208 0.00480079542507058 0.00261944172183823 0.00130692663601172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0288095161705098 0.0124491625938518 0.00911053881053793 0.00526396991493214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0231079684496639 0.0060212901222188 0.00272454499913 0.00134322793065497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0287266380752805 0.0137178553765596 0.00897343592670089 0.00534038623959256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0234347434192755 0.00807977221518643 0.00328819847017258 0.00147528884457851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0290400177524036 0.0158506109191585 0.0093897603681265 0.00548936261105571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0252600073650409 0.01243235601451 0.00614036839740031 0.00179142734226068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0302432971576644 0.0208534707522835 0.0100926815243656 0.00605397358064127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0443629759414008 0.0300016725284062 0.0229973681217659 0.00398459987020701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0459029776613601 0.0433691600754842 0.0158434682831497 0.0112370962269003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0690969698155144 0.0472715621819142 0.0472024131983728 0.00756676837036883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651122688171941 0.0631598838204787 0.0226512007183306 0.0202436585287457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0244878101470092 0.0108776845262535 0.00744261266619622 0.00172112982622417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293726648295046 0.0190176282090173 0.00953069879506601 0.00585885193226402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0297582971957901 0.018043206199937 0.0104709449224882 0.00239777148089757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0337454646762 0.0284008247468255 0.0111360843753939 0.00745596105893979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0478450062679264 0.0324445846689675 0.0302059730962821 0.00454206035365006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0494696980985243 0.0469463896425706 0.0175759409506368 0.0130705654777956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138518550001704 0.0889113262898089 0.163873422444559 0.0233649019994476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115637551757013 0.113029379687052 0.0488166848522118 0.0600655255550124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.235115644851074 0.14414057887234 0.318205204628673 0.0574394085429928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.185724606950555 0.189009986156039 0.115686201458247 0.172524760613249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.787614210989787 0.797576891461577 0.370432800126986 3.17766854328494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.488078740025047 0.487223282864766 0.35984195650903 1.24212892149963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.787607776668692 0.797605165010841 0.370656569914815 3.17789405584733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.488297858151428 0.487348264706331 0.360225947547042 1.24202516551969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.787287032463966 0.797534233164964 0.371033834978721 3.17710241869232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.489250433978425 0.487558139831344 0.362150232478042 1.24289757813855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.78739186460826 0.797892435418733 0.371909889858861 3.17888576658385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.49084914360969 0.48883591721288 0.366085345108817 1.24683242135437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.789162263921215 0.799683434926678 0.379139608683379 3.18590076913624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.493833419615444 0.493188633940346 0.372617878687747 1.25807100061554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.790396354568299 0.801496543088549 0.384699263819976 3.19427847748075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.500028174789201 0.498816266473902 0.388153464895252 1.27713391544673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.787529184499833 0.797699376190195 0.372050341502055 3.17838879299849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.489170463199995 0.48777637095428 0.362406504551011 1.24316505393668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.787774131153556 0.797567938553824 0.37418472335583 3.17644507197975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.490779589331879 0.48957485057967 0.365899284356264 1.24692174018159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.789745480720908 0.799579437505467 0.382069714340641 3.18505146500295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.493283415334229 0.492504156105655 0.372449983562324 1.25481370076636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798436394832693 0.806718201269813 0.407043964560847 3.2179408782833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.507137332494247 0.504327362570646 0.40252850299526 1.29261288526789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.805011038250495 0.812566282415118 0.424528983854892 3.2410809867067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.520134351570964 0.51881300460616 0.426602774508255 1.34357379682705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.63154890636584 1.6873667971586 2.08702312220533 13.9272217964395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.15752976849268 1.15825216112675 2.16375919349224 6.77895211625514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.63200772996631 1.68788688858786 2.09104904573103 13.9350709105224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.15907567039461 1.16086803515126 2.17143006087187 6.79426423293914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.63241285626582 1.68839312260168 2.09609195664547 13.9399677097787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.1601797456113 1.16131604231425 2.17938395265184 6.79703650525184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6327854389318 1.68946530879937 2.09885692359093 13.9495591769141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.16405428577813 1.1645462884457 2.19582470460446 6.82033048723323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.63675929725741 1.69285397367207 2.13285354363217 13.9819776973979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.17579863824289 1.17803898333787 2.23902870502419 6.90473723548847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.64101537889534 1.69591547074719 2.16618957161875 14.0116779167542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.1858238385121 1.18577778334004 2.29800389524819 6.95211239497236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.63522774475203 1.68866981851844 2.09812671076507 13.9398296240738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.16083530763775 1.16306274116354 2.17755697441641 6.8057855883439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.63757767784512 1.69009021620943 2.11090408811583 13.9542150541175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.16739406045452 1.17030503988176 2.19521859987859 6.8556004935454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.64082324783629 1.6919133621329 2.13842491231257 13.9624352715198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.17651485166863 1.18137238066382 2.2371649094945 6.92827222481471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6551193993629 1.70034196549664 2.24923726883579 14.036105633253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.20837363820181 1.21276400732969 2.38899050379761 7.13391367024827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.66730720560394 1.70972648353023 2.36744854657044 14.1242848447834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.24363852619725 1.24356929182333 2.53794785149916 7.37611743422171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.755325939532794 0.687878669660141 0.58908666598462 2.86831585029754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.315416647357473 0.314329655017574 0.413595692987366 0.549825629434656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.754463633954434 0.687654378891839 0.58846664756351 2.86620865395266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.316252359554276 0.314883447510838 0.415046641234398 0.551257338261102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.755410750065672 0.688109760496828 0.58872942686155 2.86850927137035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.316959541102545 0.316566030830071 0.416047754772081 0.555831366697562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.75603276315152 0.688543283769805 0.591633945801735 2.87036465100619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.319559929093006 0.317899109892312 0.420895800223564 0.561366246521373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.757768192063733 0.689007780362053 0.606738512307176 2.86980869288542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.323578205213536 0.32369654306907 0.427348803372684 0.576689754508109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.758675367083875 0.689158158571538 0.611773138643945 2.86454174387017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.328821917925569 0.325343501222119 0.439708974503157 0.579574559193196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.755509987785462 0.687946988745951 0.590902792080953 2.86756173515529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.317518031342657 0.316779133357303 0.416866167613476 0.555680521597524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.756588626071659 0.687950600554281 0.591967340697491 2.86503733807977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.321635397553227 0.319145214407125 0.424938179380192 0.561471488528116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.757309103419464 0.689101895243067 0.608191636640229 2.87021239073901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.327475918628133 0.322898037192785 0.43888190288496 0.56966187101644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.757581892612371 0.692365244342232 0.627759832236274 2.8741239401341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.343277138343178 0.336145732156281 0.470178706005014 0.616054316395178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.75617062221384 0.694359323780197 0.629175086129373 2.87229628327861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.357514570271312 0.347597724180669 0.496980149217041 0.654567455724486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.897856604706444 0.881484224405449 0.951661077772015 4.40476295310171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.309937988253149 0.309575019475194 0.394038562771315 0.605056773222094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.898597181511548 0.881821679882323 0.952702521308726 4.40653922502689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.311608906599507 0.310145920070043 0.398809025242775 0.607761850531098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.89844667847765 0.881621858017561 0.953083626809785 4.40450429653682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.31219185547874 0.31081946120537 0.398507635556397 0.611616789226522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.898757153770554 0.881725020904803 0.95189774772902 4.40429412474183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.312401832220381 0.311159263846373 0.398339898060053 0.612793622420153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.899807841217707 0.882194365238248 0.952523820799806 4.39968390926952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.315624927181022 0.316720419804802 0.400938033873077 0.636638028563725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.899467748471451 0.882536653310529 0.951805969813202 4.39624521123896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.320597311243294 0.321161021997362 0.40899244873247 0.65317406710925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.896617969246146 0.88134939732413 0.948253875018858 4.40122275328414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.311669820151609 0.312155866852018 0.398101665205541 0.614285367852793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.896594837365713 0.881307138349373 0.949119920729948 4.39830471017274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.313534188600701 0.312045790439267 0.40178615694828 0.615671202555194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.897882341941161 0.88211319136079 0.947980313934414 4.39892753003169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.315507628725818 0.315184157686469 0.405612969976067 0.627402294474039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.898425214944372 0.881420983681325 0.95700478392204 4.37554154426476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.330388487333547 0.327731419531261 0.427597596950479 0.67774499158893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.893480549589488 0.878673433486892 0.940351579448753 4.32954323300241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.347161667575517 0.342781401465525 0.449398691118106 0.746530181897547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985890013054979 1.04226767426142 0.61277702622996 5.03430576819317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.583749512173343 0.581555548723602 0.453842868070595 1.55297039352451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.986248223279952 1.04247894939827 0.61437581190332 5.03645109796734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.584846965076001 0.582814612340316 0.456377921113041 1.56062253912197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.988034402696361 1.04305058225352 0.618655060635099 5.04183876576499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.5855484052407 0.583172435992426 0.458471700709439 1.56022579474146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.988620233539019 1.0436197120144 0.621291509313248 5.04614436457388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.585833061350787 0.583694781247546 0.45882514915675 1.56184996500171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.992230140516521 1.04694049801825 0.632678047527602 5.06452342229055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.591708199944207 0.591449232340054 0.473128790510099 1.59219354984718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.9970069025747 1.05009263723856 0.648697347189131 5.07829628474167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.597189777402569 0.599160867547389 0.483771511583155 1.61890834444252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987960799092784 1.04362006225853 0.619196556277612 5.04271299152795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.586690988112626 0.585603116038889 0.460696720521343 1.57005806681213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.991410633275868 1.04610469910267 0.626542192370402 5.05999923791453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.589663191928862 0.589779701904774 0.467955382666075 1.58652979539828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.996403552075415 1.04967348201022 0.639906353206496 5.08220903211326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.597052665620701 0.592471148451151 0.486803871643414 1.59898176861956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.00834070255332 1.05836157487074 0.683197629354886 5.12194337639619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.62030087160084 0.62028632712662 0.541881912760876 1.70523053111802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0222542888917 1.06987594412783 0.728143660615764 5.17983163207958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.646449903762298 0.646254073512385 0.596586958828716 1.81197662327809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.847820475624357 0.823410293860546 0.786794963718505 4.58234340073905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.456965332772274 0.458514525931463 0.953120648169085 1.43887489282281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.847733211295078 0.823559627041946 0.786983836414834 4.5832136972581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.4578854091148 0.45929343535466 0.95437185442581 1.4430957268807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.848045908846416 0.823654623909082 0.787810277900357 4.58377111894842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.458260036364732 0.45956396650131 0.954543277472531 1.4437477021105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.849410631493223 0.823795648608419 0.791417369260927 4.58431510369546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.46040471976941 0.461258749971917 0.95833941186471 1.44802672987477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.853984426298456 0.824312230801819 0.808529284228278 4.58525218479442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470426323761814 0.471531913833294 0.977758222038441 1.48429707092623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.858386899255158 0.824766971417027 0.832940561810903 4.58691028518754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.476820890690024 0.478077153134775 0.991136136519596 1.51799211484254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.849594333865055 0.823368550661783 0.789973838037662 4.58021290732748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.458351592569222 0.459359418499813 0.956558035535701 1.44008315249443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.850209240152379 0.823455176786103 0.793517634137106 4.58027872235548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.46135547906526 0.460961600100802 0.962181985913162 1.44675901317499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.852364012048455 0.823757719170342 0.808114747111798 4.58074115596751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.46795802526346 0.469393679088068 0.972715226933304 1.48368114923347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.862050032603592 0.824677741951745 0.874487283939009 4.5780744192725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.493547435646571 0.49087613054883 1.02827141788796 1.56587373040961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.870541455667635 0.826211710149059 0.933695856564181 4.58141464425581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.512417631287696 0.510248386345536 1.06988743142945 1.65803063438269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.804868572210737 0.835471228282613 0.399373498484442 3.45104365105462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.509997653796722 0.508994798181352 0.379422076941659 1.30741673816991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.804964880733616 0.835653711683304 0.399574651903618 3.45204391875315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.510514820313735 0.509049490510285 0.38034573515969 1.30757306855573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.805129501796569 0.835802073398403 0.399984834486154 3.45266518474126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.511084357745775 0.509506923436895 0.381634966730194 1.30870397861452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.806080818907707 0.836439974462972 0.402680136162524 3.45451907663085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.512236544277205 0.510751964543964 0.383480221825362 1.31226931924619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.808869668058175 0.838056318804421 0.412017700221504 3.46065361396662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.515417600901618 0.515688187535186 0.389180927195266 1.33133728503037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.811230862781792 0.840071337904404 0.418885448188633 3.47006371445164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.519416634648625 0.521225165314139 0.398001928444625 1.35056055948805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.805595469999328 0.836546400325553 0.401938110310889 3.45847390733839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.512310732988828 0.50973931442838 0.384026821715647 1.30978556070772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.806431757140612 0.837933097608739 0.404370034723757 3.46690802604662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.514054891472414 0.51183963116725 0.387876452369374 1.31634114007237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.808349389240966 0.839622560857772 0.410562300115899 3.47517912812376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.516786680307735 0.514322091498605 0.392500416419405 1.32615440945747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.817050988763866 0.845847195641807 0.436322671305957 3.49511289661994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.535481688221965 0.529368137773383 0.43054970190879 1.37359726648147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.826565200181592 0.854091789172533 0.463521684049959 3.52981567529592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.554132771754061 0.547858165722652 0.468963494569394 1.44484657393725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42213471171442 1.30727776005353 1.86050227344946 9.44851124126822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.691487045516805 0.691832712678781 1.51401771311834 2.51314696637755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42174635595004 1.30726093145027 1.86013285342173 9.4464524174656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.692911971316716 0.693563785122886 1.51832149553364 2.52170083220025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42146767005745 1.30728923370879 1.85763640240212 9.44371985797174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.694210302421292 0.694401116983158 1.52066428070426 2.52732813383128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42111332507559 1.30754076702129 1.85800559354811 9.44565844532155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.696354893165753 0.698540503303127 1.52749309665949 2.55593263193003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.41690740324769 1.30653300146465 1.85549030306355 9.42095727646701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.707748208048056 0.71034935000264 1.54876976771215 2.62382915518201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.41488160658453 1.30694571548307 1.85392255500323 9.4157800769585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.715558335409562 0.718122417343457 1.56961219439288 2.67340311489823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.41945401698501 1.30628157906631 1.85961583699511 9.43092557487176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.697221106475055 0.69692682279479 1.527590789613 2.54093909997522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.41890031773504 1.30635757048149 1.85748045569819 9.42726130041988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.700156655627255 0.701981364243451 1.53921587879829 2.57703347753384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.41581655838466 1.30565899399417 1.85691656833961 9.40649167059181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.709424530321194 0.70841675931555 1.55627701452785 2.61018322661636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.40854837929114 1.30603813341435 1.84952964638678 9.37603870078427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.733317727518885 0.728829511518069 1.62316195966972 2.73410884986749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39891564440056 1.30672015857118 1.84946819410922 9.35419675931411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.751376482332249 0.747469898232234 1.66273037668873 2.88454211363768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.689967699697045 0.702285997636861 0.274318665870361 2.78281949514651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.457916044051647 0.460614498172831 0.399653587841806 1.23696768271891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690422215234026 0.702410895190779 0.275832780441756 2.78306826862334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.458711172082877 0.461275649584787 0.401184107518815 1.24019208972069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690449932109484 0.702498979626332 0.27650164133342 2.78349269439348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.459269085431403 0.461584733536463 0.402533866247637 1.24053075597896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.69102510489174 0.702612089380204 0.278010423217253 2.78386381957196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.460111330162645 0.461935400643846 0.404267468038511 1.24056117858816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.691965334082196 0.703175237146535 0.283791839759592 2.78488184723458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.463234505730271 0.465264252587022 0.409632156864776 1.25344910498465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.693204109478675 0.703620744871563 0.28904078365747 2.78640398035148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.46438039219946 0.466331650737108 0.410130574444842 1.25566584170163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690162960983753 0.702418141912909 0.276441436364361 2.78326708784058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.458798830684985 0.461679391762234 0.40103067057971 1.23868894592358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.690461622714305 0.702551067014561 0.278958391861883 2.78300953003625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.460456482572347 0.463395600290018 0.404306374043445 1.24589417447057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.691839466537969 0.702867236190318 0.287145552533807 2.78332450772011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.461803710549361 0.464533581226528 0.405862245205351 1.24993367020032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.695328001538869 0.704935729380049 0.304453764849403 2.79127132904949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.47231738906408 0.474726642748696 0.421609056466596 1.28430494317704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697948327278461 0.706552176792409 0.321398978797139 2.7951249412655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.481838613543094 0.485223603448664 0.435457196638102 1.32441231243874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.546897426948225 0.571313134445098 0.205126459340336 1.50150140109278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.387039985540023 0.387250702979416 0.180507548050558 0.684508044211245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547056322217745 0.571427299366397 0.205388187551785 1.50193675084369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.387157508763586 0.387401769689956 0.180667097526141 0.684775133565623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.546846676814338 0.571209705688069 0.205299065181796 1.50056832261435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.387265572890084 0.387666674253232 0.180781886512881 0.685513791529283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547224931921843 0.571502194817676 0.205569921670519 1.50152810129935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.387515718262532 0.388157272049591 0.181151023119214 0.686603522640321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.548071908672893 0.572556908820109 0.207123923102987 1.50468127968389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.389229387577507 0.389671297333946 0.183957824285219 0.690124337642224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549691315164984 0.573900217501803 0.209533845956508 1.5086090201849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.391375822560488 0.392297059478208 0.187255932884743 0.696454111308983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547318945834212 0.571660453741943 0.205691381391701 1.50324927658817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.387744293026968 0.387474172700696 0.181869517873204 0.685333049182701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547854125235872 0.571949738888849 0.206534499569074 1.50326081377053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.388265012568258 0.388140837119104 0.182636078506924 0.686868391956802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.548953586693723 0.573065291301184 0.208408724308794 1.50670828897005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.389734266696714 0.390509111544252 0.184963472412828 0.692428220672132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.553101955340402 0.576173867504835 0.215462254408129 1.51355414236261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.397823279291032 0.39698029384806 0.196986352596985 0.708777090918761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.557959834237972 0.58026151874979 0.223987928698519 1.52431162153419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.405810827188691 0.404770660030419 0.206606711232857 0.730887616031746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.782936206597757 0.77962359161688 0.664624966949747 3.272140358626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0955969282935533 0.0954313038239409 0.0397422445170937 0.0663254789892692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.782739529445192 0.779716094900005 0.664204247201678 3.27203209612375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0966650222797482 0.0963900803958641 0.0414755796543921 0.0682659055324254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.782920101394308 0.77984121992724 0.663801723089136 3.27207935429247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0969253781128777 0.0968690619552892 0.0418075143564818 0.0690825375191826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.783559761520437 0.780233663261002 0.663615346789012 3.27306138293038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0988226989525069 0.0989003014566208 0.0447297871189469 0.0724445482049253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.785065856349182 0.781973621924517 0.662322374146986 3.2796740465364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104308356682425 0.105569855123031 0.052593189241822 0.0852918600883904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.78891524279634 0.784588617541128 0.663915833409461 3.28960580356285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.112303314181266 0.11299389066897 0.0685716958537718 0.10085232918771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.783353738856073 0.780135562618717 0.665820109637907 3.27316907312287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0980650438689439 0.0977218752629699 0.0437103615247876 0.0703199215120409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.784364871517646 0.780912764055556 0.666438486532261 3.27559949755603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100168791392471 0.100274375032309 0.0473007393233902 0.0755645638030226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.786209341794486 0.782260670475838 0.662115467979766 3.28051120336903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.10536813365703 0.104888237809038 0.0561099531747511 0.0846124039782984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793624947072408 0.78829679422751 0.662942178111056 3.29907977603237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128522104091745 0.127872184827162 0.0935093398886994 0.128857766390746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.7998321493517 0.793631733928426 0.655506860301602 3.31030750981729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.148147650383067 0.148998717370536 0.118904477969526 0.166149354183014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.68938495925492 1.68208360939604 2.82227367412037 14.7188169986351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.480614179682631 0.482353324854746 0.797673972148874 1.34954262671337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69071868219792 1.68292195166484 2.82977526597722 14.7252503085658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.483069563320281 0.485086806576221 0.807833476454324 1.36503421290744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6922855846865 1.68407646025077 2.84031244248937 14.7376603198092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.485386116967537 0.487313883035248 0.818926791193115 1.38065043651424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.694344374774 1.68546587762705 2.8553337556237 14.7498511560699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.489961676335656 0.490185149202835 0.839416407009224 1.39272162907854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69865092023374 1.68998315559925 2.87128253297404 14.7843617532981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.504892258127463 0.506981024571858 0.897345843175135 1.4870205612808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70115856083492 1.6964993944381 2.90687355137773 14.8632437428177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.521611317301153 0.523352450260755 0.976894610653702 1.5836711291152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69308387868001 1.68546644499368 2.84594874303145 14.7527018316472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.489167865920226 0.490968101414501 0.832385913080821 1.39674909630179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69547382507382 1.68806634045239 2.86529146924317 14.7828613050693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.495235933265645 0.498194345081574 0.866300101362009 1.43383455377977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70129476581147 1.69291611588857 2.89680883758259 14.8357733612209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.508100746005356 0.512481328461472 0.939818071541009 1.51113613997396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71993058939753 1.71011250330226 3.01908985147419 15.0101659470233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.55448758936383 0.558228861131979 1.15403069350515 1.78334626961032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73599389242452 1.72831137324019 3.12316501502899 15.2044733396646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.606867719766241 0.603911872832427 1.39485175973456 2.04910446940416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.922759199773185 0.858216870932128 1.22822236702641 4.55480214748429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.151139980302476 0.150966716429423 0.170206493470977 0.198559679065447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.923079942689394 0.858385061220019 1.22781083256028 4.55531981039428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152081906891015 0.15197798133433 0.172253265565377 0.200954984236946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.922877516088472 0.858512451685311 1.2261765273421 4.55585566830271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152777431948374 0.151641198198903 0.173712701362532 0.199548449957478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.922821571245392 0.858680385573191 1.22269516531412 4.55626708041673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.154156585656479 0.152934239499163 0.1765512055712 0.202653647432652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.923094954339412 0.860205850988556 1.21914338801064 4.56396702852505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.165443093917433 0.163084243434993 0.204883444363562 0.227818310857885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.922681141549674 0.862105840679068 1.21951277110095 4.57219230383645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.174452431055882 0.172197949475575 0.231951254715455 0.256255077770188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.92207513147427 0.85873879260195 1.22703798283972 4.55733299573278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.153377046524778 0.152889130407703 0.175178269874897 0.20265338027508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.922266140890786 0.859610512229401 1.22409607653602 4.56194007378201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.156561827777433 0.155541651683131 0.182055349226314 0.21018536037764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.92341644497014 0.861594733821319 1.22903602969522 4.5719443310997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163450780462195 0.162690983378021 0.202462492920243 0.231745016297279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.924209271764072 0.868555865710779 1.22868250531435 4.60341572332672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.189105950997908 0.187538687298687 0.269688455649869 0.294791424124777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.917856368851284 0.873863326580462 1.22230736301276 4.62043246144931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.212166511027851 0.214653154970753 0.325163182589881 0.378536341911438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958906474687213 0.94367146895234 1.93830828006293 5.59783238744214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0653180100235752 0.0653128670703974 0.0337759821053658 0.0372289992714593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958888893579016 0.943585004560201 1.93649284861827 5.59587999591037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0655953506939309 0.0657844315215638 0.0340465133594011 0.0377442659638177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958568005710507 0.943384329055342 1.93219096303587 5.59198627605534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0657876935041786 0.0662696881793556 0.0340004393964314 0.0385383372398066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.957750234941485 0.942552885653293 1.92157719212885 5.57481062548429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0672468491986883 0.0690954358006542 0.0390455605223198 0.0499539059140226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958973638826743 0.942784031941768 1.90769963162878 5.55394057290816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0738361820783391 0.0735804680079408 0.0548831032201372 0.0606517761599486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.96013240722106 0.943105218010085 1.89594336120968 5.53983490032238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0791337233053716 0.0780546549631636 0.0684905179383773 0.0706923122798457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958678167654576 0.943667012990782 1.92716992878543 5.58951479044032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0670028200332069 0.0672306889263986 0.0361987096095333 0.0415446567199033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.957846179199939 0.942922254430697 1.91631201454017 5.57238455740889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0682171027751462 0.0696458292775154 0.0375177686183025 0.0492104245952041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.95971271249522 0.943917439820842 1.9046969703833 5.56556989309873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0716690588005887 0.0756827262659381 0.0456513272485206 0.0639414357155686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.95755053743631 0.943065807151358 1.8429241298088 5.49637353685488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.086514190202559 0.0906629466013671 0.0790675506467751 0.0963726759060721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.955769829993542 0.942810396386962 1.75729961262088 5.42258512825853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104631397793028 0.107192203006793 0.117661198274025 0.138638389351946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980178577160286 0.977813619122771 1.37170216856189 5.33055162388918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109408747115209 0.109478334890176 0.0340539186300061 0.0578368385317727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980127987899649 0.978077732101878 1.37036195099805 5.3315254191903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110052200901273 0.110519467628899 0.0354205807037897 0.0604658720275148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980148864834454 0.978322869697986 1.36800697225908 5.33158752394806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110849039065868 0.111460606500913 0.036970985055548 0.0624510773225293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.98006524535884 0.978652107051505 1.36431871656111 5.32892915781585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.113299685795006 0.113947991077012 0.0421132761067577 0.0692403598393372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.984791805285605 0.983366312158185 1.36748666672627 5.35136018397779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121104890011492 0.122558437224451 0.0593789631653118 0.0908338203360866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985711961487417 0.985387634124798 1.35832789525782 5.34849998099188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126542721054523 0.129693147395583 0.068581074311893 0.109147451571195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980800347178628 0.978374915187693 1.36692831203698 5.32672267457841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.112192048389684 0.112679528488702 0.0394852105631426 0.0652041755476448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.982400286462558 0.979375080017549 1.36470468392745 5.32729687293384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114754381573582 0.115691773952341 0.0446684461364339 0.0716713920400477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985304347482194 0.981664278834699 1.36558947648796 5.33218635687363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121657796645057 0.122179285798458 0.0621303777012745 0.0883677758224003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995424059862715 0.991842644775475 1.34164052312641 5.35128688608929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.147255411988611 0.148287028848377 0.11200773375691 0.148823166561391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.00233368143244 0.999681188549358 1.31056283568874 5.34532732579268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.172617476879801 0.173334112503568 0.16275851860497 0.207235652354512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0500023345442 0.912354246724592 1.60016361430385 5.50685351774869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.208647766788843 0.207375710514845 0.229916608601605 0.253003529914938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0518874850021 0.912610658034256 1.6142538328779 5.50824095382162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.210845631042711 0.209588112761527 0.23889259379355 0.258438268852471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05128036054655 0.912716586156849 1.61424248624468 5.50872866837001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.212081936808804 0.210389047213845 0.242667296450749 0.262829962169862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05232674610234 0.913082668799774 1.61785028867688 5.51096506442319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.216250060252652 0.213688286130055 0.257578432193401 0.271022303123314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05429615868035 0.914918054701 1.6479822086145 5.52209470148641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.225893077433059 0.223444123590984 0.285656765433651 0.299987727078371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05450729277689 0.916168933465657 1.65428835096097 5.52773297117569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.234498398572594 0.232530168443235 0.308006128421977 0.332727853020846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05047281662667 0.912812424339444 1.61346793235484 5.51003824153583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.215016626755703 0.211660934777466 0.252766888021755 0.264212191735205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05090765636026 0.913170918161837 1.61522824316968 5.51201161385748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.218126374108653 0.214125329501016 0.263782227983213 0.272925439947579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05066905603275 0.914710824820666 1.61658221901942 5.52226228633626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.226340778162002 0.222512934978724 0.289254615879959 0.297666867328806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0490817693154 0.918422072844027 1.61992326338183 5.53494340600941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.256861277020072 0.252955266201302 0.367388671371998 0.390378276638833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04457778362756 0.921914744041598 1.60075708054972 5.54245041265724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.284661000247265 0.280184338246361 0.436503977454102 0.480835927052492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.789720553712635 0.784239121619213 0.772421795068256 3.42663728000765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0804007814549772 0.0804369259263272 0.0198475200318647 0.0385132282565141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.790540793657182 0.784734680102202 0.773557774682639 3.42869019958974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0814861562387133 0.0812154493045032 0.0218040776043421 0.0401243273808855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.79108319841325 0.785329625255115 0.773167232764634 3.43036343748952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0834019182336538 0.0834168863528676 0.0255292848067115 0.0453239431397616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792603541607985 0.786567170098815 0.774696823617501 3.43552629161133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0856805565248596 0.0842233629894038 0.0299523127871139 0.0461087088949249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.795261736120249 0.789363244732672 0.775932169884052 3.44398520673066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0930164415561615 0.0916740131237511 0.0438763062835769 0.0613847455762764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798353606013229 0.791998753712936 0.776720887098474 3.45125359009657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.101398325496099 0.0988294191080527 0.0590379998519299 0.0740212275012698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793362255056544 0.786633616098626 0.778589815356824 3.4373361128763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0832411312440349 0.083884247603141 0.0251098411905679 0.0460154475977414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794690333101799 0.788247152555928 0.779949230277007 3.44372742076401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.08729814681049 0.0877774374740516 0.0326806284760809 0.0540627362077573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798029062941138 0.790870770986934 0.785755501817643 3.45170145135086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0943914858406711 0.0935886776387611 0.0449891301106668 0.0634221529235206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.806702381481677 0.798451946469678 0.782852846326254 3.46884679868128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115561939846931 0.113599562162735 0.0780128070595873 0.0996470751658907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.813304035305606 0.806459085344817 0.765902577708306 3.48535046773707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.136992822175926 0.137419453660675 0.108009494971989 0.143039942822917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46652190141097 1.34079909621141 3.16598354891807 11.0104742353282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.299029385061845 0.29885865453038 0.491947593443912 0.464806289045584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46583306735716 1.34052853698366 3.16079966471305 11.0048905714366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.300357640168672 0.300403052760318 0.495942149843952 0.474327917039454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46489088126822 1.34036576585209 3.15701984719159 11.0012364490199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.301188403832585 0.301579852372005 0.498643816713588 0.480160748453731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46331197222564 1.33959782821079 3.15145657651163 10.9874655310949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.303204570611059 0.303748458378646 0.505212210889138 0.494545667867974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45911012979019 1.33761137977196 3.12652940048257 10.9379802475326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.309612096136023 0.31047543993824 0.529517190776028 0.528235248551859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45445276029217 1.33566058985891 3.0988121361878 10.8864015501356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.316807069903373 0.317325375558899 0.551806548643301 0.56229571747674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.4655354664914 1.34003672056272 3.15783572045679 10.9924095603466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.301677697566225 0.302797979095383 0.501587362468029 0.488286581517845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46443447943818 1.3401098975117 3.15138709264494 10.9880121597184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.30433004046291 0.305416836973026 0.510472374129146 0.500979179656757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46062359026747 1.33815013716039 3.131158488676 10.9417868428197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.309638168876201 0.311707186315872 0.529822122086782 0.533137099575174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.44535489858595 1.3329999995912 3.03945756010563 10.813168077126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.329409722379739 0.329017396693372 0.601323229222212 0.623216482849085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42834007945625 1.32665592452411 2.94138652067888 10.6535533580825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.34992858314679 0.350092613380394 0.670976757986522 0.749533920552135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.733583502776319 0.709158381713336 0.602318009593575 2.85939145555314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0857754882247856 0.0859018357897326 0.0267513956359916 0.0450746527006919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.734042627686005 0.70934876200073 0.602875112653635 2.86014435909041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0864117945584246 0.086395517889866 0.0276938467271954 0.045635067404977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.734301663473148 0.709463407917364 0.603337852902085 2.86046042138369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0874116377571015 0.0876372597783873 0.029416080865397 0.0481890361345279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.734642298443166 0.709741652552453 0.604099142992738 2.86140283932043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0893321975164339 0.0894644798481623 0.0320623786176883 0.0511564118416996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.73566415686475 0.710814208669813 0.604742961889349 2.86424316680736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0954396357394953 0.09603663195762 0.0399132308084355 0.0626548741636757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.737835611022861 0.711972830431515 0.606320642742169 2.86694741345271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.102111193586258 0.101635023160166 0.0490565207527876 0.0701617098474087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.734284743430842 0.709559976846534 0.603383024296733 2.86083138082642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0891578745104814 0.0894547123122534 0.0317774095203181 0.0520070815800226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.735119943640923 0.710162983656909 0.603421443676031 2.86289726513958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0916767858459259 0.0910538892664585 0.0352854071371246 0.0539608684490022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.737934879157718 0.711132080585326 0.608530603601857 2.86528665319357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0963735959161473 0.0955838265581539 0.0420140872160161 0.0607024101593532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.742062358348417 0.715030410393917 0.60104233283051 2.8748884626509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.117192481708441 0.116409960772954 0.0663948157240663 0.0932140977764598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.744990116398291 0.718349113932764 0.587312182093458 2.8798853147197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.137258483926086 0.135644575270271 0.0911298318080449 0.122003358058907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.518534709870005 0.525966268184925 0.329130773399666 1.51417420829466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0594819283461032 0.059352281541739 0.00765990667830313 0.0195218677378948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.518927327951145 0.526253545248979 0.329574889676193 1.51508667297246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0598509795672392 0.0596371237144215 0.0081588598468847 0.019982046228533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.519325386333521 0.526530340889379 0.329763980927766 1.51574675004043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0604344847868561 0.06021211649286 0.00874259221489026 0.0207455094872809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.520110456927126 0.527278563149618 0.330443737116992 1.51773016294773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0618155231028797 0.0617285460327585 0.0103373826237597 0.0229023833430483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.52197257266453 0.529042823250963 0.330628095947361 1.52096763773442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0652551629908497 0.0655331239432726 0.0138390084487815 0.0282399132200927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.523661232435459 0.530725488674199 0.330764574475455 1.52437318451218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0687431666535606 0.0690665815536949 0.0176255186880881 0.0323198757019322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.519712000157909 0.526918231134082 0.329966673681111 1.51679142568382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0611393863224923 0.0611932211026784 0.0096416672511079 0.0221300892251564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.520911396095934 0.52772537509811 0.330749936571399 1.5188568043362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0623740680901667 0.0627880348419567 0.0110045559650359 0.0241331192471748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.522625301552032 0.529299972432748 0.331349721654584 1.52233591047486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0648826144470544 0.0657248765848093 0.013645772177311 0.0281782527371289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.527613553710171 0.534747590675135 0.328079827111668 1.53155710450275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0779917595330758 0.0788425666417441 0.0259705738897156 0.0437625633509159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.532419459174043 0.540148321000997 0.322007538063373 1.53873524638817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0924157986768571 0.0919412004357184 0.0389099993802366 0.0572529108810337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.640506736883185 0.628823146071282 0.688883494507901 2.25393643224485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0129310235246463 0.0146538223087886 0.00285399436450619 0.00281121911786995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.640939686071956 0.629535115816295 0.689781824152867 2.25786306333625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014439955486701 0.0150666210513775 0.0058726731014055 0.00306343108856646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.64176151437842 0.630426978678819 0.691291904738345 2.26176412679552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0148605300450043 0.0157552945067687 0.0057340829247382 0.00357404978712475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.642905884533349 0.631625481622139 0.691416280813509 2.26547332337203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175833518391274 0.0183906533543649 0.00927492592660516 0.00625789253866865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.648993915671672 0.637370117381776 0.696911828781623 2.28499399651117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0292497969821521 0.0281308434232869 0.0242004395912615 0.0131276127774546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.655075087874938 0.642908138411285 0.697120372930426 2.30201888160374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0430738491393985 0.0407676497339276 0.0393629372788233 0.0223230265312041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.641918141216911 0.630364552642567 0.688346541662593 2.25979009482827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.01593643731263 0.0172886645903253 0.00719468788362795 0.00475398649530661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.644538897956646 0.633046837055044 0.6902295757949 2.27052429219003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0202411124381861 0.0209239078436541 0.0122441902485822 0.00763123365884824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650061180054987 0.638016902229313 0.693510015947517 2.28716382035812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0300169964172095 0.029140989966855 0.0260665184080784 0.0127736701265198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.679409115951744 0.661797003497034 0.698983028828065 2.3723825922592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0735253790411501 0.0692454008052353 0.0703188145826738 0.041660326541856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.700335227812262 0.681713607750021 0.691417414191564 2.44123929492812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123367258165948 0.110743765340602 0.142075628804137 0.0839156451330719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33868071534499 1.31640242804742 4.40064082804949 11.2703267758738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0417559934030023 0.03593589554558 0.0146879461369425 0.0089047487167692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34016279107341 1.31704543746373 4.39809818882575 11.2710641950495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0435281490222383 0.0376664260913324 0.0195883678420239 0.014304872562022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34442784606468 1.31812988247174 4.41127700885425 11.27733997205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0451135937624027 0.0404503781709317 0.0265967584968483 0.0332796815059339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.35073373804423 1.32060986871395 4.4243460953689 11.2986345465881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.049567709579494 0.0464838578024483 0.0387127410275542 0.0507090346000082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.36389525566606 1.32664226154343 4.40588297332427 11.3067504243584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0620053107670135 0.0640230260977734 0.0648692070648238 0.119495370894137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37782367902767 1.33381972439489 4.39509651621073 11.3132058686508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0754968327569133 0.0849118986917079 0.0921846685424922 0.1872708791816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34514485891814 1.31892657821039 4.39689831305011 11.2862138466621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0472593969281133 0.041959078934395 0.0303531908403297 0.0287800993793952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.35258963786551 1.32276299565922 4.39666842634683 11.3127663128113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0553472299873052 0.0501258166274271 0.0525251212496296 0.051290033866748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.36508490426484 1.32840097932072 4.39207032406023 11.3333845033221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0653371475204287 0.0641662141103529 0.077461951228052 0.115180942022203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.41907414425242 1.35317447859753 4.3393770898191 11.3826477950737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114354809545006 0.133752519285957 0.176919817694518 0.338706144602159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47426345707697 1.37824063331838 4.24966861929286 11.4110630875605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.169087522731683 0.204304058338913 0.287784108881249 0.584987582733757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.730479285649066 0.717509981388233 0.918719005052847 2.95196838898672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0155533170962824 0.0108961450512605 0.0056781806427931 0.000663169283203288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.729008758258322 0.717281784486231 0.91561988305507 2.9498725631166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0167489663593548 0.01181156622176 0.00669798398054062 0.0018044610719898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.728920085635849 0.717674752456007 0.914583594449942 2.95102305127022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0187358457416962 0.01307818547423 0.00920770688656548 0.00324658576858324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.729000872033129 0.718574752866057 0.912810097581575 2.95365279853275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0213350663061644 0.0146120577435573 0.0119173825180677 0.0040110339532197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.728411843813533 0.720967213823646 0.901330901253348 2.95630680665241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0334436074714858 0.0258774545740965 0.0202494429297308 0.0154815699342865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.727879849871771 0.722994218714639 0.893258186618912 2.95656588863246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0455529325201192 0.037051624701929 0.0293373915867823 0.0226837091845838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.729147876216206 0.718081611983922 0.914184421582224 2.9519590460324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0196554567973586 0.0137269296210015 0.00915319142813083 0.00384784045511526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.730060320023991 0.719264886897338 0.912241553222718 2.95459862509179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0249584588822582 0.0180330672221165 0.014337328423186 0.00715603235215285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.72900466395047 0.72119648603975 0.904020671006444 2.95566082407754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0340694497803882 0.0266250761685501 0.0190345918710014 0.0129332029639359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.729251086086596 0.727886728823586 0.874173611112451 2.95781262532119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0783390442652934 0.0660870930093376 0.0581302720207412 0.043305030014898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.735500191638651 0.731482859239196 0.853177660023741 2.94649189629049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126334089860434 0.107522898930515 0.117506689249916 0.0808640552671648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.478309118474224 0.472834724464358 0.229130277720894 1.11548002667529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.011867800514749 0.00786172616546745 0.00423568517063934 0.00125415235452606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.477752179863765 0.472342531379973 0.228375881589924 1.11288534175064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0118092961822188 0.00806022413596262 0.0039077804133399 0.00128698914468099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.476932047658017 0.471912671159585 0.227537718768356 1.11001101010226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0125562814355809 0.00895295277760579 0.00420385113617953 0.00182323661998946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.476752926147229 0.472515771433478 0.226777349692023 1.11061624756014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137425240407303 0.0100970784616954 0.00427638485545305 0.00203550977831892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.476821001290109 0.47372568190654 0.225234364598124 1.1066261496359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0221012192624654 0.0174860340504132 0.00577249668505087 0.0026659160502555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.479036419873399 0.475563087501754 0.224618909649139 1.10538977023337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0317147707028357 0.0270423384676206 0.00800089186892411 0.00451179419194978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.47707736207527 0.47246400158452 0.227296326919133 1.11092591966309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0131763552442721 0.00921925940532606 0.00431399529561965 0.00176974717921117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.475664734071338 0.472156914757309 0.22590611133583 1.10615160259309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0161933230704566 0.0118307082089035 0.00466049635118006 0.00191919372743284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.477604297555969 0.473443826384203 0.225688940527567 1.10508454294718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.023020488916733 0.0183910908443138 0.00599360205803138 0.0026847735912145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.484170314271828 0.477884836927312 0.224955530889555 1.09774276435482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0587005240377137 0.052454298757002 0.0213589131511975 0.0145173362598336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.490215576936544 0.479872999958779 0.230308197709442 1.08509356767195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100277072139307 0.0894222164786815 0.0577902198591061 0.0387486909069725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.975239879452346 0.961453200955046 1.48221139046688 5.14642261339576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0152473346977428 0.0161257915018254 0.0011220286385711 0.00429849163255212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.975885698976089 0.96267476284747 1.48314827038663 5.15503838802043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0170923980630151 0.0174813180830817 0.00489776062968739 0.00720336079323787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.976669737857845 0.963541488325393 1.48383887682051 5.15905819088525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0183042005397055 0.0190303259530341 0.00785441919498466 0.0111807539707522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.978354080598697 0.966372726401268 1.48439387317517 5.17673138452794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218635890826178 0.0214889029180551 0.0150807948147701 0.0153528866600633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.984923645192894 0.976934967104765 1.483694328344 5.23667982160558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034510103986085 0.0328853503782599 0.0343475581920045 0.0341597917410466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.989686266934238 0.984744109155873 1.48369903782787 5.26880924210112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0491394331937433 0.047673840211608 0.0557260166293993 0.0584127643512723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.978289298299035 0.964943286362674 1.48501761565174 5.16544669376325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0200068186070584 0.0196755044142104 0.0113444986167728 0.012440163322469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.982064872860999 0.970315409006941 1.49112955691037 5.2016713677909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0239741597101452 0.0230547460229154 0.0179908645121623 0.0168769759197109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.987939941601198 0.979106729429118 1.49593609186282 5.25446882394921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0359806489455521 0.0335260629958547 0.0353328336812961 0.0325628183065031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.999539522919264 1.00284857549778 1.47007935527299 5.35107889863093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0856671619027461 0.0809670828596557 0.114446986485971 0.0991178403235004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01086299461625 1.02273605356323 1.44608387079254 5.41600518000234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.139938128804376 0.130844752331755 0.213736895518361 0.177032286057173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.908647031918396 0.884502942758793 2.11467412342572 5.24890311774542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0189650463131445 0.0203120734619848 0.00403970914232141 0.00207173012898556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.908117582958721 0.884723777193725 2.11335960416422 5.24981656551486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0203239884439487 0.0223072330283632 0.00597510243710592 0.008419295388816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.908578069147762 0.885136160658927 2.11420166047084 5.25135099450521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0214393770020808 0.0233994919112758 0.00701507114731354 0.00985221118403501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.90926458828092 0.886127058098797 2.11374493358915 5.25544555519873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0250693980182377 0.026764234263963 0.0135754328841815 0.0160117503251388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.912536979536405 0.890072272713906 2.11573127708982 5.27097114565903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0413459693413344 0.0419259939783476 0.0404566754257715 0.0390141911299598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.91515512052589 0.894020103548508 2.11252200843349 5.28581477553344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0558593426348602 0.0556223870177592 0.0588792987245442 0.0607245667426864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.908411714542489 0.885786872684545 2.10858501266916 5.25437203075885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0237625442209878 0.0248342952399253 0.0103981493418285 0.00992918621314591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.910456338846474 0.887487124153152 2.10657691356599 5.26112403632318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.031440895589323 0.0306099463664823 0.0259434694112447 0.0168058435050452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.914191514458098 0.890981561927089 2.10920997799761 5.27549037364995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0422607114484249 0.0414397415513373 0.0409293858755688 0.0323149791656967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.925878589176792 0.903626571898747 2.07256186783347 5.32323031743179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0954777053209147 0.0895268251581642 0.12772221922572 0.110413414469327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.937683540452688 0.914920661231727 2.03248356385757 5.36184846425393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.145341567402609 0.141806560278895 0.212384711310927 0.205788162946564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.675756880881353 0.664332683071865 0.756313297580626 2.5024180671172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0119689868417206 0.0113625606985268 0.00149627531390377 0.00112168959809117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.676479940872262 0.664674352727593 0.756461127310761 2.50345969163097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0134867195374622 0.0125678125606956 0.00433534382482836 0.0029703239673135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.677516612939038 0.665408823518726 0.75951196630558 2.50631608307271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0143113957999228 0.0140250154506994 0.00592440177903337 0.00571378094398773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.679013345756893 0.666945531854839 0.760601879132014 2.51303389710203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191100556065913 0.0165891581520112 0.0151524431665598 0.00947754598532177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.685874646387404 0.673824996607535 0.768973172852114 2.53867375189285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0325566139580271 0.02640931939963 0.0335109162511411 0.0192017168625344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.694005737433768 0.681221789534977 0.778925382282394 2.56750667897016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.046613212867439 0.0367939956687706 0.0491011358102624 0.0245662635483145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.677840581408467 0.666044812030881 0.758835049059745 2.50897594157407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160665201351971 0.0148976189655079 0.00901146424406036 0.00735483348475243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.681064851032784 0.668250680769199 0.765784369502388 2.51584368715693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0209656652434763 0.0194920051484884 0.0153985560501943 0.0130993716310968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.685532665732346 0.673430027399265 0.770355915136326 2.53444664296413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0324470460294767 0.0270660807121608 0.0289350071219266 0.0179087433930549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.706069471997692 0.696024343629102 0.771538098309691 2.61680050795936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.080197114661039 0.0650069572043684 0.0839656764450559 0.0465780556370452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.726640108948413 0.7184134619586 0.767327842491247 2.70317547831071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.130586664573074 0.107646451552224 0.156962701807845 0.0926200543256713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02370769872292 0.998682985230564 4.39145503160586 8.46474680760044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0418340530875159 0.0300865627966684 0.0140475945035961 0.00710215440131446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02411624823023 0.998731234450491 4.37966971670574 8.45621775100977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0427982096459275 0.0317999902948151 0.0159826130348789 0.020577610215894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0249776412104 0.998869368742633 4.37637901073169 8.45212869635951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0446741436504471 0.0324607442865215 0.0229954680054591 0.0224677353306084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02680459910613 0.999506790625328 4.36988481266569 8.44934609783301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0473880188511664 0.0353645766066062 0.0307649603756384 0.0306347704938187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03513739264211 1.00520123088769 4.35365534453673 8.45929633604018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0616517417513165 0.0458282033057643 0.0659831926661444 0.055330581771567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03998310320808 1.00816198678816 4.30876363167822 8.41462042675013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0747652128232137 0.0566289831680953 0.0910257159599897 0.0744299746691655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02565729263867 0.999180928806072 4.37264064249423 8.44507195042582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0470130402666897 0.0334781917983277 0.0318685498839588 0.0148553100341075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03081079395728 1.00275137157245 4.37888961586885 8.47412321353878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0534299974401254 0.038149135037102 0.0501784763920929 0.0320116412192305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03558905200513 1.00670281623207 4.35500924743943 8.46744323961474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0632424006748189 0.0458745490813659 0.07245292730693 0.0459576327595448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.06251544593516 1.0223966986568 4.22870506268082 8.42494908338598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108492345320389 0.0856962617221441 0.169537675284481 0.106216903651263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09466776151253 1.03785759472547 4.1098857420016 8.40681044160998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.155748755041061 0.13126078621878 0.248587369899816 0.186858909401508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.428468237949306 0.416009333918059 0.591955848157723 1.27853573338733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0153782914326591 0.0108017099694636 0.00657387966110935 0.00467328626360119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.429184623115721 0.416390414821803 0.591611949086412 1.2792788561565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164305057593726 0.0120913976504163 0.00775750227396238 0.00595586103929358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.43053997286652 0.417079644275379 0.593044808109668 1.28061623171371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0176873379697079 0.0131471285655893 0.00956845744740309 0.00677532388488229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.433400338224684 0.418543448640012 0.596439624608099 1.28317041731547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0200703415861294 0.0161897987023675 0.0117246436834935 0.00830572421042904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.444278859173119 0.424710147388966 0.60397965451334 1.29503649670776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0322454430476101 0.0279578231422481 0.0236369254131666 0.0159448978770149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.456227016920067 0.430602068094718 0.611052161822514 1.30628706536937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0440905339263223 0.0397293892211277 0.032141373987617 0.0222014023909667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.430954102393409 0.417814322128936 0.59356569793912 1.28179013217608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191499506197793 0.0140841816806175 0.0115048414557823 0.00664659977312631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.434655797190248 0.420148161156561 0.595105374615095 1.28579919704083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234050004801722 0.0184889801816628 0.0162814266887961 0.00890089053747316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.44328888072504 0.425028486409788 0.599374235212016 1.29492881691821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0335147015389688 0.0284241787222258 0.0252658604484307 0.0153208130825883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.479524074615929 0.443208779869431 0.615679243068142 1.32977573530113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0751565770234934 0.0680341321406968 0.0619913215719334 0.0411118228785356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.514297802433078 0.460406117625077 0.62881034042672 1.36540468250694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.116398306162398 0.108811689894121 0.105218001489344 0.0821650185995822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437279011920589 0.432902317907862 0.328711627407709 1.07353520079323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0115391244272888 0.00575572752180049 0.00889835145551266 0.00120399915707408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.43795475284667 0.433461949035843 0.328767380549661 1.07512800651562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.012138553171093 0.00641052552409397 0.00953723509934133 0.00179218273605782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438484481082349 0.433941227461077 0.328966827695736 1.07629731980809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0126464208742298 0.00673938333965111 0.00979532096283821 0.00188000329395525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.43951388984885 0.435217786150717 0.329472307603431 1.07915670527639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0143245157261868 0.00844475728333523 0.010417208620268 0.00257356758891291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.445510119765597 0.441353843823896 0.33057412893753 1.09296642232015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0239402261044306 0.0175846763332458 0.0139865892752229 0.00590081892548708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.450102126194974 0.446591276264219 0.331185788358851 1.10272716505674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0349104483699042 0.0281179555726227 0.0188584287840269 0.0101514405907619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438962956519203 0.434474512055812 0.329678384299882 1.07722111751333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014397735483578 0.00801951945703281 0.0111418268686572 0.00284656765585245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.441154742779312 0.436767521244685 0.330487439130244 1.0820932184182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0176943165398655 0.011137565210592 0.0121795919152209 0.00371026217976024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.446596222044356 0.441710466642009 0.332673645946451 1.09254133894846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0264024594132758 0.0190640191074393 0.0160787009796974 0.00675006321743445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.464396532148341 0.459316997414467 0.337107210082251 1.12838065849338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0607382843414442 0.0533354698400439 0.0336127473148098 0.02254588778274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.482124756681114 0.476864317231496 0.342795348385717 1.16895818752047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0966326248615275 0.0889252861506564 0.0666038282011662 0.0490976978099328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793314728561182 0.806786593012796 0.366562386841975 3.22424155942439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.471627750312046 0.472974558226779 0.325955124096918 1.16873512387751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.79332244732063 0.806785073000216 0.366568154880003 3.22423202556925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.471629952059674 0.473007729838538 0.325959275776315 1.16885763782396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793576095983295 0.807032221737362 0.366338960486121 3.22574916016361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.471632613599854 0.473013568408604 0.325967846785501 1.16887946935713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793593576112609 0.807030240240147 0.366352148683073 3.22571752100115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.471614331310718 0.473005331929242 0.325974734149464 1.16883998771948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793212431945082 0.806578046608562 0.36535805655714 3.22236434264105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.4716532274321 0.473387629006758 0.326072409036872 1.17023385351905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793288054477847 0.806604791865086 0.365426442415304 3.22204006137983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.47189809350662 0.473691640502107 0.326515267255529 1.17164298460645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793417759053565 0.80684257789873 0.366744179001278 3.22460982101839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.471642026123767 0.472952267763067 0.325979577727941 1.16874578875207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793553530599757 0.806929435939953 0.36701589769715 3.22514942203602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.472971705123744 0.473077095658919 0.329992961018303 1.16929091696805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794132953339706 0.80741506102922 0.36742177150149 3.22778672186762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.473126962787288 0.473214055634223 0.330164384246568 1.16998811592346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.795465794875475 0.808516474308504 0.368785171432615 3.23290394234025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474621976403019 0.474839180161232 0.332118897812964 1.17785161010123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.796636907889392 0.809612783727423 0.36946835974591 3.23372371793756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477831280720354 0.477986124586734 0.336069764652282 1.19287444501432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794270415228164 0.669014172086542 1.03213074181149 2.70772765994959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.445993729825462 0.349863492664398 1.10802491779516 0.699238326783775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.79425825158414 0.669025579160848 1.03214374372072 2.70776713860177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.445997479531106 0.349867646989477 1.10802489367019 0.69924869250279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794243588652323 0.669037144354763 1.0321525009295 2.70780199510687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.445974718352143 0.349885840308224 1.10798925765725 0.699267036303992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794206450926892 0.669060162661627 1.03216662220698 2.70786161313974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.4459933357877 0.349870142908305 1.1079885515427 0.699301832097385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793839096059006 0.66955052621622 1.03120368439276 2.70935443624885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.445865777154762 0.349878399990561 1.10709700148207 0.699350816100037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793388906356848 0.669670320496293 1.03099841493005 2.7092777010339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.445919992334596 0.349918164269619 1.10731643683759 0.699890193493376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794825576519772 0.669783101264598 1.03156444106655 2.71144302242421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.445967306267379 0.349855008607367 1.10796047790573 0.699286365164852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794710381801392 0.670165985945227 1.03073963913813 2.71279742601658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.445810146817947 0.349807666198256 1.10696005595121 0.699059461002291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.795207677584956 0.669920091485795 1.03142749933015 2.71210979278865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.446129565044861 0.349902329603016 1.10786377479994 0.699612042431137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793529229132724 0.670170421515639 1.0309579655851 2.71098577339759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.446571146450226 0.350320097036908 1.10927756476964 0.703118625417951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.79161658801747 0.672893238173762 1.02826475054654 2.72107997896929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.446482907668603 0.351260977135596 1.11212803627439 0.71099285281272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767273677427553 0.809871111721776 0.396634762347953 3.26407962213231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470696434757204 0.480636031940015 0.365397710949984 1.17842823812174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767271632652354 0.809874639074486 0.396627718145164 3.26410406827758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470702311119891 0.480631798907062 0.365402047178241 1.17841710030545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767210947983571 0.809819929266356 0.396691453739992 3.26383880755284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470711525036726 0.480630728402944 0.365410135846172 1.17841949166887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767209192855291 0.809832828889192 0.396687262147038 3.26389624079313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470738770037605 0.480610655408525 0.365437195918102 1.17838046953633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767530871561907 0.81022499205972 0.396667301746973 3.26634159527652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470839997808205 0.48074952537245 0.365754270325953 1.17895948532247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767650154505238 0.810329238748855 0.396793678628529 3.2664985315265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.471245375293341 0.480972259467053 0.366253554623901 1.18023693863394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767214685683813 0.80981923563374 0.396702370432803 3.26382034275973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470710793601146 0.480631263181174 0.365401061569853 1.17838433418698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767160471530428 0.809778152859133 0.396791471745737 3.26356363441851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.470758119786513 0.480639659073462 0.36544377276 1.17838668589792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767558567064386 0.810209569664387 0.396731054055921 3.26613615621549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.47084057074358 0.480789968472778 0.365671026638652 1.17896466432818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.768984440582605 0.81165506864355 0.398633994801624 3.27421958396411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.472846694921997 0.482680042307307 0.368150616193972 1.18681528996918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.77175057297587 0.814443314377843 0.403052497579335 3.28527280954492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.476930135709857 0.486769981671975 0.373086971119322 1.20305563424277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.387128158288386 0.390164139952794 0.148215752305557 0.779884215033422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0790895578826623 0.0841452293378538 0.0155395718902492 0.0336899099504792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.387119627947449 0.390154329998599 0.148209558811613 0.779853747690088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0790812801324502 0.0841343763034136 0.0155349618580882 0.0336832609984006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.387109973507029 0.39014454691024 0.148199985101194 0.779821709740636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0790752412038864 0.0841268207767857 0.0155296975875494 0.0336789097583874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.38708620627256 0.390125369099352 0.14817147944416 0.779753700865121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0790649650014182 0.0841068434862228 0.0155225072694831 0.0336688269454576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.386919935836905 0.390052857644311 0.147918103431285 0.779422642499227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0790910249690683 0.0839850780329088 0.0155017615557389 0.0336311302905491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.38636164208517 0.389658479617361 0.147517861803766 0.778003649933831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0792146453647574 0.0839210460576462 0.015488081359795 0.0336490931252765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.387153419651142 0.390155056804271 0.148214934750608 0.779848198507751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0791301263898166 0.0841457349722151 0.0155515794792149 0.0336949801093828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.387160641928582 0.390147305132783 0.148178187880807 0.77979852364937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0792106691971525 0.0841500957389752 0.0155645961832138 0.0337055061116968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.386824671568621 0.389802703824996 0.148068372038711 0.778652930770644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0793325221015218 0.0842697278928641 0.0155915119264125 0.0338129286959168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385938068148795 0.389782570798294 0.146138982985339 0.777594967305479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0802338133335282 0.0849306388879664 0.0158232363104362 0.0344434509755119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.383205956218043 0.388910089774962 0.142133906080936 0.772619420070471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.082109454809156 0.0859809480538399 0.0167617571198644 0.0354956513898896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.74911905682247 0.763479813030446 0.670223668472579 3.1776833322547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141902387148243 0.14254666544215 0.0930840170670027 0.126786436723185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.749116139302568 0.763458980308657 0.670236493117885 3.17756993533981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141898645211313 0.14253964340244 0.0930835241456748 0.126781451177094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.749112666593067 0.76343567163378 0.670238766254567 3.17743707439783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141888747330171 0.142524590163566 0.0930782135060742 0.126778647142936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.749103288714614 0.763383853863118 0.670214452476318 3.17712467862154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141874468350712 0.14251816203053 0.0930691191720776 0.12678133818982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.752630530639066 0.766406011586693 0.671252250252552 3.19799470634599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141937317651063 0.142533714749492 0.0930922042657336 0.126884454820058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.750816341863211 0.764270019733119 0.669513933786662 3.18306077844275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.142128837835014 0.142687079577348 0.0931853933707835 0.127150318667115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.749111091655072 0.763465477206388 0.670122369131179 3.17750406290843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141914369444319 0.142529302224206 0.0930915855203943 0.126776004553602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.749304966983255 0.763621349967931 0.669639681081222 3.17807199599109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.141933286151825 0.142476001584681 0.093102725202723 0.12678506808861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.74735673711421 0.761586792796322 0.66717981399745 3.16263870084817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.142081882989953 0.142489324545397 0.0931802564129272 0.126897058117584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.749980347588318 0.762829328884055 0.660419302205431 3.16622980004656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143340600723949 0.14322467022897 0.0937965473086798 0.128447627637953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.747625764242522 0.758368641545385 0.646792934442763 3.13096100248831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.145328481589921 0.144953939851349 0.0947669437434257 0.131667412561323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138496801469856 0.142890552477971 0.0256655493022453 0.11198277839356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222293535238679 0.0213280705826471 0.000842744904231469 0.0021523318283968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138486118880739 0.142886979740859 0.0256673393797626 0.111983392361276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222354409349819 0.021334631987712 0.000844850057834652 0.00215423121763944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138475549985235 0.142884371941459 0.0256684477462881 0.111984384182172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222432780702582 0.0213426371223012 0.000846982517127781 0.00215636890941632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.137953427659266 0.142379095177974 0.0256081342535917 0.111363599127962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222619858785328 0.02136403971025 0.00085145863524082 0.00216147150574166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.137330694601444 0.141840599466612 0.0254845034908507 0.110662641275347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0223722840742157 0.0214933870738102 0.000871942261887954 0.0021889825236032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.137903918311931 0.142522550434292 0.0255437472777245 0.11149989788567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0227204916140167 0.0216839271309858 0.000929088418141869 0.00222778787878723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138463971952154 0.142913278744606 0.025669423248884 0.11199678728352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222038924317087 0.0213264575472734 0.000840364053803821 0.00214746000273349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138435760506554 0.142940608021975 0.0256665291828154 0.112011658172733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0221899592450556 0.0213489485734921 0.000838668516191598 0.00214644343269346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.136794244084635 0.141393148274939 0.0253935547043006 0.109955128616888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0221973213806774 0.0214235954817936 0.000837655076225294 0.00214852894502786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.136125463723408 0.141113792941842 0.0249993306607497 0.109201953000706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0227752008681009 0.0223392442556433 0.000864042139726848 0.00231341191263895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.136345996536057 0.141949423407544 0.0241506391205947 0.109201291385595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0241132212814408 0.0233818808383134 0.000940153595281295 0.00239102658932914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18745550084018 1.16812288797132 1.94293615971289 7.74563420255721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.670682810644796 0.64461325338205 1.59869674784624 2.84021603014841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18710496301906 1.16797370588412 1.94242844166941 7.74361345077311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.670389114354951 0.644562770512513 1.59815761321176 2.83943885616709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18741170869588 1.16822329059569 1.94204783179932 7.74564616712125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.670389414164088 0.644536761469937 1.59816850106819 2.83923883793463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18745714144775 1.16825052592513 1.94209583582151 7.74585052787623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.670544877273279 0.644425853646455 1.59695709318664 2.83883421031416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18704075522971 1.16772211350868 1.94118451055262 7.73798829805257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.670576496608768 0.643977994171655 1.59549442858301 2.83843481545466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18794595576258 1.16867539140616 1.94163401471604 7.74398477755562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.673711182675957 0.645251098113964 1.60466659520316 2.84665133328482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18717062215522 1.1678722497327 1.9432936542204 7.74367137486108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.670683430863481 0.644616531614332 1.59853841703995 2.84026690779865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18713206726416 1.16786798326939 1.9433200863128 7.74347182878367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.670768907059527 0.645611437333928 1.60013959138139 2.8514441409451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18683051958456 1.16762958184761 1.94321486484197 7.74014538386381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.672909153856672 0.644741428075473 1.60982352224845 2.84316772088969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18736336552441 1.16860683758551 1.94265615044504 7.74063277746364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.676517105405323 0.647723718504757 1.61931597962083 2.86635036628484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18537441703034 1.16562405993806 1.94555936193297 7.69227365277446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.681371295247096 0.65185111237513 1.63101963069782 2.89303216467394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21848005298311 1.24336868783591 0.985248531594921 8.53086230029706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.539533940763414 0.568518807099444 0.936055257793911 2.08219752749831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21846897732218 1.24336010694083 0.985271389285951 8.53080988902278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.539478648459247 0.568518502433246 0.936097658705408 2.08216184466742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21844190464116 1.2433463159738 0.985323875467795 8.5306995326513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.539547535225632 0.56850199158892 0.936287259966432 2.0820871926649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21841184929069 1.24332643662027 0.985349612503313 8.53049227912032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.540237387423632 0.568834943332492 0.936671158215577 2.08285944769729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21831298805391 1.24330641991052 0.985106445558944 8.52947734894777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.540652996292012 0.569934970972376 0.936981310546594 2.08865690845221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21796800028688 1.24310452935102 0.984914710300748 8.52596812554478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.541474632333297 0.570348099709475 0.936943255940573 2.09070545616463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21807168315409 1.24297956919823 0.986094360381166 8.52760128312698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.539483191872086 0.568915262178556 0.936220882953056 2.08257510844134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21807722499346 1.24300853116414 0.986234182539024 8.52778873694967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.539316773885496 0.568743090154995 0.937652984373369 2.08241813978318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21810574625621 1.243091732783 0.986329880629405 8.52791069675248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.540819293552344 0.569379833431155 0.93942341969504 2.08464356111602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21764034268066 1.24289848832657 0.983681299020794 8.51860905397564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.542684841566429 0.574247792007664 0.941960146414735 2.11185336257685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21507749214781 1.24094058782405 0.981424615515826 8.48158572181318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.548580884362747 0.581251803107032 0.955112118323668 2.15354737894944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04633694054079 1.10588009797987 0.79905991143399 6.61901538417735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.607623261392389 0.612718314192176 0.887766482624598 2.30946627979444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04517613190127 1.10468139941176 0.798505896441885 6.60900555871666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.60762290843382 0.612703712183071 0.887764901146674 2.30941697706815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04518365091421 1.10465131484534 0.798550155289884 6.6087280764931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.607447312869692 0.612693864148875 0.887939774006589 2.30939453027937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04519996066344 1.10459433271992 0.798653002866462 6.608177940152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.607460832391315 0.612685726270462 0.887965125021537 2.30941987556724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04531425721936 1.10440119256424 0.799241084017371 6.60589394980714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.60776870824277 0.612597920369059 0.888230164249874 2.31005452193408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04396930854656 1.10272296708466 0.800538377480338 6.58967703150128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.608203698694923 0.612564439197035 0.888946486163916 2.31094812525381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04628896101228 1.10591027699346 0.799151703233411 6.61931849689584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.607682473949825 0.612806056778259 0.887766557622167 2.30994362411769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04624696720074 1.10594715600905 0.799278375642253 6.6195814982641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.607850431865053 0.612929442338472 0.887957179729254 2.31065215361008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04600442034618 1.10586726412779 0.799956269564234 6.61872150670606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.608027453849751 0.61301741468415 0.888236872603289 2.31200007008411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04556837157761 1.1060159849115 0.803858919776598 6.61506397566325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.609763519453079 0.616042166048237 0.891727036736314 2.33048538761799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04722486001454 1.10812686805329 0.807548216569121 6.6216637588659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.614340503632469 0.6212273118456 0.89941631626667 2.36336363630442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457968712949726 0.454489958472779 0.0847198248033497 1.12672966010391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283351931996345 0.271175423716524 0.124053510479625 0.407639277580685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457656907619427 0.454255880695112 0.0848347727348679 1.12575706329061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283397855172335 0.271175796028299 0.124030434340741 0.407648645872422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457562684514652 0.454164291786593 0.0848991476052211 1.12545738576923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283397157286361 0.271178787936693 0.124031026406612 0.407663986229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457404616538568 0.454006390996361 0.084891389569111 1.12496795602342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283400245184855 0.271187775722929 0.124035855398637 0.407704747541046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457215166550776 0.453818363553141 0.0849459393230702 1.12434307094195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283423675339434 0.271299365702834 0.124037133502986 0.408058797644453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457110229989278 0.453719701820444 0.0851352281135289 1.12389463989926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283616831559679 0.271511636268681 0.124183669595635 0.408686758064431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457872626611194 0.454407928932737 0.0847668556336056 1.12642213369462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283354679176704 0.271198372347047 0.124052058363906 0.40769625682913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457869012816387 0.454414066599606 0.0847719998088335 1.12640187745531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.28337362371509 0.27123762618681 0.124065413854878 0.407797070593222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.457900998293878 0.454467269933314 0.0847843666206333 1.12643076360681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283450338802961 0.27137213532861 0.124136030428238 0.408143987237933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.45814985149976 0.454654077276343 0.0853612010684931 1.12598775609127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.284568124164734 0.272534989214388 0.124922006457241 0.411276690072611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.45840672840529 0.455167990164542 0.0868525444842113 1.12545756598513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.286908688301564 0.274633949385718 0.126579839098611 0.416972807995684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878768004074209 0.890381600558517 0.796508316216243 4.095062313842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0809255749166104 0.0947079683701755 0.0390048813696021 0.0585595942507422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878620891308763 0.89025622162609 0.796612935854771 4.09429018542935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0809656379928684 0.0947158566145593 0.0390484436859347 0.058557233468797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878531550317545 0.890190405405402 0.796642344788983 4.09386926111788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0808951038864728 0.0945878805574392 0.0389945236884475 0.0584201020686752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878229406017452 0.889944362945185 0.796723026498853 4.09224013569189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0809005027904756 0.0945561032301078 0.0390119737036981 0.0583924585007523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.87847078009444 0.890531489028823 0.795559610840071 4.09571429059972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0809815930105078 0.0948256664975025 0.0389517086484703 0.0585837280279925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878172968582614 0.890724051317934 0.793523076567973 4.09610514478609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0813942644758198 0.0951518619405366 0.0389982204803642 0.0588697083346051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878588555011669 0.890189772070381 0.796602983159025 4.09390329834122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0809275507563491 0.0946676008181867 0.0389858265517307 0.0584674481409442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878965010082383 0.89058095180012 0.796261836384457 4.09652341635661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0810492268714358 0.0947667144988121 0.0390525039771959 0.0585500612403523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.879226603226897 0.890989597232445 0.795100743865881 4.09891815067899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.081337171384168 0.0949997760906466 0.039118720490201 0.0586998432631565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878304550280237 0.891753077486437 0.782940379533494 4.09829190463414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0841127299638971 0.0977118295219318 0.0398386866719443 0.0609410295430469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.875541673358693 0.891941882016629 0.759209408980511 4.08836453302477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0885552699604651 0.102033128764947 0.0411714920470458 0.0647637629294895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822889242462054 0.754757188890909 1.11841167702433 3.48528224260409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108627282746159 0.0863182200840742 0.122162016991365 0.0560885866510836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822898903511063 0.754766075959203 1.11838042377933 3.48529083018118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108636956925559 0.0863969439541881 0.122163802209062 0.0561387239286504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822902725274977 0.754776386827102 1.1183252824734 3.48529332659262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.10865018940801 0.0864258309229959 0.122167575568776 0.0561541085526333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822889589078149 0.754799155922178 1.11813834412033 3.48527376826892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108745250353907 0.0865167094031988 0.122191902378081 0.0562007449325561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822277912273589 0.754606260123608 1.1166483450477 3.48318009410796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108985325103501 0.0869601881993335 0.122310591285822 0.0564499042649236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.821935232633052 0.755056226067668 1.11295322743379 3.48366213252428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109512669623961 0.0875801330100554 0.122544688577957 0.056823025965791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822866916404084 0.754805127891767 1.11825756381027 3.48540818333903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108659641634393 0.0863640370921424 0.122185045876062 0.0560960276340581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822663985502679 0.754767387868961 1.1179205380921 3.48490931350683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.1087234842206 0.0864003385128766 0.122227434102446 0.0560920446838079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822228723003767 0.754878698451058 1.11635936258545 3.48446413448323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109007883997357 0.0865941003018793 0.122379360658661 0.0561555472826583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.818358140205534 0.755233199638118 1.09940490311966 3.4777639142699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111516714754284 0.0884668677091199 0.123756881040765 0.0572908892151095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.811263518469358 0.755147080062402 1.0664511436117 3.46345846549222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.1150236364759 0.0907584454021502 0.126231969869175 0.0594817582433783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02871750984323 1.03504582593559 2.7590907778004 7.38364191726416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0626703806406129 0.0808472486871155 0.0213824810261082 0.0847379379565949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02871790329117 1.03504683636836 2.75904527362936 7.38361580148778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0626759489135213 0.0808607031793962 0.0213803745955498 0.084745419591301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02879250997114 1.03513464911085 2.75882691098032 7.38413622738623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0626816904081466 0.0808813454107248 0.0213798048630747 0.0847585974518889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02896917944493 1.03537149579181 2.7583387819304 7.38565384419921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0627116127095438 0.0809303896724977 0.0213827270534089 0.0847832493520961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02840901367881 1.0352113899451 2.7552284760493 7.38128141849754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0630572905209174 0.0814527345022651 0.0214436145390021 0.0850969564356652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02698696806908 1.03441552640275 2.7456630631889 7.36592111933929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0635180883857843 0.0821911409925969 0.0215275075651982 0.0856057037488764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02897676155188 1.03541777976285 2.75869300864752 7.38636401822927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0626219713403997 0.0808959498052331 0.0213640368083697 0.0847280865468246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02870037525997 1.03528646439745 2.75764318428568 7.38409927089124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0626664768661112 0.081072635858474 0.021347708272623 0.0847870987404215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02738316388019 1.03444370909503 2.75489082968951 7.37435910007416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0629678210900016 0.0815422570436199 0.0213877557154139 0.0849997632683629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02214566097826 1.03245175887223 2.72187940290122 7.33222971388946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651559193323655 0.0849503201387256 0.0218315034570311 0.0874167270938692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01516773141514 1.03055896552259 2.66096826127151 7.27517000794765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0683253828537693 0.0899491306525722 0.0226128766958046 0.0919918177351693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995582330263964 1.0319414922657 0.892553064020421 5.35761705352939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0533272182571941 0.0960798570243316 0.0120798319778966 0.0519941765008418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995456721628713 1.03183966944338 0.892666864148834 5.35691101100647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0531860426116494 0.0960356114939864 0.0118673154597056 0.0519758218287631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995425616737046 1.03184182601397 0.892641158308692 5.35692588927061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.053185943067735 0.0960780466465189 0.0118655094446436 0.0520143913649908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995343083287731 1.03184784625802 0.892528195588323 5.35692656863384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0532457482538014 0.0960675207325822 0.011878795112598 0.0520234512528892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994792197674092 1.03192158290864 0.891184239363953 5.35672717532757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0534504908888027 0.0961300100441369 0.0118926392984109 0.0521214322682219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.993859386647352 1.03203304297545 0.888689677276374 5.35596805969798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0537666971132982 0.0964959377298484 0.0117900169160126 0.0524784596676108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995572030396936 1.03198299250254 0.89243177858705 5.35770374549251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0533331769216465 0.0961710799017221 0.0120775361747559 0.0520478962183667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995746746494729 1.03228392422349 0.891995056625699 5.35971256208008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0532705130611188 0.0963841329775595 0.0118726169988971 0.0521916573778091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995953356217028 1.03293574454109 0.890220914689184 5.36352124400812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0539113653182509 0.0968784501690554 0.0124755861127153 0.0525233014647319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.992651522600517 1.03372066523659 0.876145065986761 5.3600019290415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0567078143164425 0.100208015868633 0.01297986331819 0.0550483053206816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985263696904136 1.03340439657888 0.848141612005372 5.34042531126977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0615538451491191 0.106103983161935 0.0141435052911401 0.0603531271846609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.8612227435486 1.80651553468739 3.1627920421741 17.2451425392699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.235971741299869 0.358203810441147 0.418464693280869 0.618336977653637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86093447454457 1.8062217560363 3.16187144739812 17.2401437431578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.235968926181412 0.358151064803092 0.418449345404525 0.618198646715779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86091520098491 1.80620654092401 3.16193304963462 17.2400056700371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.23596404209343 0.358178869626797 0.418469667642128 0.618226391489639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86135026777558 1.80667593674826 3.16819636405868 17.2528123181394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.235924535307809 0.358179941829632 0.418395249574409 0.618229531624153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86096134492844 1.80664463069528 3.16762474808159 17.2542686071954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.236051498630403 0.358268943653799 0.418695266216384 0.618721700700076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85958728204659 1.80605788797051 3.16112687870212 17.2435102507427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.236115199515873 0.358543343481038 0.419019513753829 0.620086764027328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86123051914389 1.80659463900334 3.1619286287675 17.245769562875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.23595329717203 0.358290394562141 0.418373324308547 0.618552584572664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86100751757979 1.80659317220264 3.1601502491988 17.2443533149797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.235973338461647 0.358937402373474 0.418333978981147 0.625881499818018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86030735391951 1.80643371260446 3.15727576914007 17.2402211982838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.236021873677202 0.358794314185211 0.418404802398132 0.626096535286505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85201529986345 1.80276948142476 3.11722147889788 17.1670863423291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.237148031902056 0.359031994637702 0.428018848570955 0.63215903418206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.83655072267916 1.79629697310103 3.04403000961456 17.0435956591398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.238491051666556 0.359577462910308 0.43060951567975 0.644274060590706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562940967174796 0.586917291033933 0.328876651168939 1.77890983048223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0414420723811391 0.059005933684132 0.00417281177476134 0.0193660909664758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562977265054821 0.586961081330068 0.328856156844787 1.77909453226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0414397356828771 0.0590132178061274 0.00417104083466711 0.0193706445914139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.563098504299217 0.587091625558416 0.328843260777736 1.779684248157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0414807063779631 0.0590226228413173 0.00419567538348314 0.0193760183418465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.563200719992434 0.587215881561708 0.328763940089865 1.78018687046372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.041507120030545 0.0590559983114568 0.00419379545500864 0.0193923692517318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.563181897639218 0.587355377915929 0.328295656746778 1.78041693203748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0417710833427597 0.0593872020385504 0.00420287328863595 0.0195422461281042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.56290544417012 0.587369895414995 0.327422270227229 1.77979247797189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0423085397930325 0.059950223311605 0.00427882528214586 0.0197866337895619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562999073320678 0.587011049546943 0.328827286843443 1.77929320541424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0415175516006311 0.0590507370939576 0.00420323678793885 0.0193896619076515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.563161089923706 0.587227032722189 0.328667818084403 1.78013850992106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.041611041164275 0.0591553396035307 0.00421168491607755 0.0194354743323389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562925727294589 0.587156478313005 0.32818613172842 1.77939938750301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.041924525094065 0.0594943329489238 0.00424338865402976 0.0195816257721241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.563109523713348 0.588961100342891 0.323607470799697 1.7840693668274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0447205183193416 0.0623806904057384 0.00463661501579719 0.0208983401696458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562753363858773 0.591802766372135 0.314508053518896 1.79024535621816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0493427915279323 0.0673668707861142 0.00524231628426312 0.0234004034410661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308930313995692 0.300258854759865 0.163570009933052 0.52173343458214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137224239694331 0.012882774026573 0.000879775592198341 0.00201055784761027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.30890037052518 0.300236180894544 0.163571525450228 0.521693463227766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137304554425119 0.0129078443066112 0.000878560391525474 0.0020144323733507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308915538929394 0.300263887630764 0.163549067563576 0.521744099885052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137365636600467 0.0129489868295341 0.000876346651891504 0.00201887241405951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308857020730558 0.300238767240681 0.163520021596559 0.521657678055992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.013808799347921 0.0129582135684294 0.000876526017467604 0.00197379438654939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309015116447428 0.30063101381384 0.163171678920046 0.522261282362617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144114900584736 0.0137473834825272 0.000892730153760677 0.00210350410740403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308415674468944 0.300485496041103 0.162432142139792 0.521021517378802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0152263333223863 0.0147995694176971 0.000925581507808587 0.00204498655005127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308870907887753 0.300254905218553 0.163576339972509 0.521683525862064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137931682345593 0.0129540934800805 0.000879505671767328 0.00200112764801593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308676974025046 0.300135402690181 0.163515391953882 0.52126000069219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0139889258491007 0.0131679050138714 0.000884731137978016 0.00201663616468709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308718559252497 0.300397807935519 0.163277571672804 0.521485342057381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0145728978714348 0.0137274742241995 0.000906958323344771 0.00207103919503399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308963998297805 0.302377265846294 0.16063385525427 0.522855265931727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181010261964075 0.0170943416167893 0.00109062505804894 0.00219371975050961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309055417727446 0.304170791965847 0.155386719341534 0.522258476232069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228973963121496 0.0215101458193386 0.00145510666475202 0.0025725120678341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272082052820575 0.27437088451271 0.188928019560837 0.488238821063758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00855011558043134 0.0124305888263569 0.00135527208338301 0.00369598491038343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272076173908831 0.274370909494122 0.188928654451802 0.48824001232272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00855961560745976 0.0124166109321803 0.00135643619102121 0.00367856238609754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272086372693593 0.274397185922434 0.188919104182895 0.488278019763703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00857021698488686 0.0124325585680423 0.00135747053906146 0.00366210384324392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.271885682284263 0.274253965648581 0.188893982959248 0.487888151228988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0086378719156054 0.0125837026917596 0.00136160843787848 0.00374585418265658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272689997079986 0.275305979097198 0.189830903558198 0.490827961884675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00937943085446088 0.0133278473051022 0.00139690738005691 0.00375833044871133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.27256480994284 0.275254741455135 0.188852537410848 0.489182058552351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.010629691480523 0.0145802447052275 0.00145895391612305 0.00383970634534396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272192390258843 0.274582076796092 0.188880433522168 0.488618401022669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00859964254064655 0.0126061062792395 0.0013580984977661 0.00375295598488221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272314659017459 0.274832606203908 0.188812898357207 0.488994654777666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00876626975678179 0.0126120194239549 0.00136568772718744 0.00359355574461665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.273429018405904 0.27611707939913 0.18901975508919 0.491818423940685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00947696505649816 0.013543984289239 0.00139700167777638 0.00377372243839428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.27857272219757 0.281085428200671 0.190534254958126 0.503898393256474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146600862162436 0.0182210921357372 0.00168813969760724 0.00408336555886462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.28192334816332 0.283847479068151 0.184696952369813 0.504635542874283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0209145233742924 0.0231206463911165 0.00220037216954966 0.00415232105518036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77008383994989 1.72326876767266 3.96221082126323 16.5890558221351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364304737691655 0.337873586011791 0.881177626813594 0.756668764529942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76952856309097 1.72273261182737 3.96269683038534 16.5817679074629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.36430449053054 0.337876064722613 0.881156450524462 0.75665616731055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76985322107749 1.72310147964857 3.9625508235553 16.5870089645054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364291618678396 0.337856142632692 0.881138780177677 0.756629710162118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76974662558891 1.72292032191568 3.96245330218689 16.5847938382685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364251490553503 0.337808822798043 0.881063329284555 0.756618995005833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76919316161588 1.72267105664314 3.96003751387341 16.5822402369121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364261230423152 0.337674357079413 0.881097149112876 0.756954341312579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76816526740181 1.7216776081832 3.94607815710839 16.560113175579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364119101046272 0.337577476475813 0.881202850400455 0.758019759223731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7696066516544 1.72267111162271 3.96710285126845 16.5863129861855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364263975548167 0.337827148100085 0.881124726448448 0.756663930965665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76960468126846 1.72264184396017 3.96786656994607 16.5876339900771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.3642564426458 0.338014469776067 0.881140077689222 0.758276250450606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76903999383485 1.72257291136022 3.96340580256173 16.5840769741906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.36417203569307 0.338121026144591 0.881171040720125 0.760211857988083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76356308157123 1.71942122010696 3.92000805299635 16.5212096660229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364309732062041 0.338183044229825 0.882846263248791 0.763755213661251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.75434226115571 1.71569117693455 3.84692459842822 16.4367231255249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.364752195914164 0.340054170033494 0.886036848308491 0.780573458193243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0863137188442047 0.0858328301052579 0.0237644887480546 0.0532101505779112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00476602674362512 0.00490912597037804 0.00104574431725341 0.00103266441161939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0863196464878691 0.0858503555260108 0.0237654889970265 0.0532151529137966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0047678957633826 0.00491102355990936 0.00104340677163515 0.00103180272655338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0864294119698081 0.0859950186760062 0.0237773732322326 0.0533029660348418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00480474138540477 0.00499044178407605 0.00104183040424401 0.00103378786436498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0867346757143502 0.0863567285686436 0.0238002115026655 0.0535026320155607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0050858508995837 0.00512189207448214 0.00106586194615212 0.000979681975193122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0879313116020934 0.0875515423543232 0.0238458009599621 0.0539820721018024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00629330659112294 0.00668924439103777 0.000908061646627573 0.0010575244897566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0889200556355632 0.0884614149870679 0.023759354287208 0.0540932517585048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00793478991726261 0.00811839631116841 0.000854017138075515 0.000984950593567288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0864228435876672 0.0860713752937575 0.0237471640404413 0.0533064363453518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00480431222632704 0.00540049749197026 0.000986159030478123 0.0012001663041977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0871025779903713 0.0868302375189572 0.0238293325950197 0.0537923949002784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00534517782871142 0.00588354294758759 0.00100679979555914 0.00120925029935563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0882304760663476 0.0880133252537683 0.0238011819973736 0.054287812660568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0068576590243374 0.0073016882351525 0.00108014481465857 0.00125721741564624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0913210379711502 0.0912135340588371 0.0232202248086827 0.0546643389089862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0127508252451305 0.0133175354039928 0.00112975235951918 0.00156906792572942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0952768465710001 0.0949335662454898 0.0226840119907896 0.0555606359925389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186161854449123 0.0190743650377805 0.00140898933217922 0.00187723707252192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73880801226306 1.73476550352581 0.994914285066103 13.0245077899944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00979023197072546 0.0263283887944644 0.0019200813730353 0.0180735909336665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73892347991772 1.73493495590068 0.99453453669885 13.0262122891458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00986058311221523 0.0264509464554368 0.00192993920769253 0.0181090990140484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73878633704853 1.73489386054689 0.994733018594466 13.0251557170337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100233975473912 0.0266712492821649 0.00194890464832005 0.0181849158410017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7387605166937 1.73509183974288 0.994666288312728 13.0260064747192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0108119944690605 0.0270219993332043 0.00205647052719648 0.0180926395725039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73805751021097 1.73516674751883 0.99570914126946 13.0196120563821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0165947169208198 0.0301852830134888 0.00260592605501827 0.0167756546419286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73727994486768 1.73514011848425 0.995166395785838 13.0106315923308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0237384980130032 0.0358028724243645 0.00348826321713202 0.0165430944288942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73895092357307 1.73522289638211 0.994396923346691 13.0282523495752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0103932178137807 0.0265776216264153 0.00198264123240233 0.0178971074685044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73887884494681 1.73558687434806 0.994473048051562 13.0298538927553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0122236303448213 0.027740719134991 0.002144670010649 0.0179714769997073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73879112308958 1.73618535396228 0.993799024865636 13.0304246027899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175785558406731 0.0314472719272558 0.00273909707751821 0.0175936290522374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73263537935644 1.73400615156728 0.991062879992801 12.9724624656895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0427466704612179 0.0520930408994385 0.00787613459140676 0.0187705447271674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71751226630724 1.72588602048994 0.984032574623366 12.8352360714512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0684094493279167 0.0755746057677109 0.0164674728980813 0.0253979134565029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06051572212685 3.05217465523594 4.39871148134644 41.7581067478908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0366732486312889 0.0615732503861788 0.0173757056282715 0.0210889983229751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06064686468 3.05231653520506 4.39816604367219 41.761197897065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0366826673794304 0.0616233531411172 0.0173558768627393 0.0211234616076244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06065925882233 3.05236035089824 4.39784324215561 41.7621206495686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0365565084801257 0.0616482223878919 0.0171788193560883 0.0211044886825816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.05951634404914 3.05133791316584 4.40030046526291 41.7398594367967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0371441048667473 0.0616821890025479 0.0176471368358999 0.0210912803789878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.05688278879753 3.04983507458691 4.40135864488221 41.7078121295334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407453107990425 0.0627426069353009 0.0177750837005043 0.0218144983651509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.05201165093817 3.0472488466821 4.40087863178063 41.6496484799314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0462589836170072 0.0649968113222752 0.0187117918950189 0.0229971172506665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.061143486965 3.05288141210636 4.39594517154629 41.772958055899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0368720783449189 0.06154182604641 0.0170163667670864 0.0209500355586484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.0600311805651 3.05207010755433 4.39672423776451 41.7544217035513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0379471318605738 0.0616755990034927 0.0172890944888656 0.0209174517883583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.05811194643151 3.05130477949213 4.38966319834545 41.7314153692505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0414721682759685 0.0626998417628087 0.0179969348719856 0.0212354999583745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.03832599541756 3.04534098088194 4.34992284280949 41.5628840813325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0620398957029422 0.0754724285479164 0.0228762170996467 0.0267011021686051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.00242867920229 3.03834011129677 4.26611527529529 41.3361529944672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0846440538374291 0.0972406304815326 0.0298453625483203 0.0392340581058942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503863386429904 0.499458248195004 0.0152510466635258 1.01282203259228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00584904717132119 0.00615419118272326 0.000368811883305417 1.53881471083986E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503998683475545 0.49941862971275 0.0152641956511488 1.01264484812363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00619500180418935 0.00640150934644729 0.000378912233752005 1.96199532099884E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.504131812668097 0.499380299496555 0.0152828275641847 1.01247543216339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00646568768786784 0.00683697161188665 0.000386656716384853 3.01024188941387E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.504398032747565 0.499308305206934 0.0153369857645801 1.01216307325065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00834816283208444 0.00832836070701067 0.000503800464800281 7.15385078695382E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.505455002820989 0.499076424463663 0.0157782521742509 1.01124173316474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0162791021499002 0.0180829702181675 0.00153732253467914 0.000566400944034545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.506144606913233 0.498179042386736 0.0172367993842322 1.00824908711934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0260399124959874 0.0295466241565757 0.00367542723778438 0.00184377975238668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503513389528828 0.500128523283379 0.0150776368066075 1.01553799436679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00791832782561997 0.00596870848550427 0.000537797368321125 2.43458843426855E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503147665031726 0.500795327782 0.0149277365358912 1.01826948048099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0110660133435798 0.0074700559819826 0.00094748492904978 6.59043600847929E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.502368366611735 0.502119028202451 0.0147009232430859 1.02377959887354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0189371152519485 0.013363017053897 0.00274411448479438 0.000487158379215784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.498637842895508 0.50739400549206 0.0148314397116583 1.04685343519529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0426597416138148 0.0383872931934969 0.0107007792159711 0.00506048891941852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.491537551463693 0.503451712683512 0.0251132761361912 1.03752093691529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0620328926672184 0.0629913121852969 0.0137692105142531 0.010127984620805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21262867124642 2.20681105343086 0.326755082507172 19.8105888193211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0305605192795974 0.0131233445662092 0.0239379863647629 0.000470482294672616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.2126290375093 2.20681510121021 0.326792996852446 19.8105870346561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0307417615863705 0.0131377841626647 0.0240023677604585 0.000472908593784884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21261162989584 2.20681322265526 0.326830484807937 19.8104823616579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0314537176558613 0.0132836068069099 0.0242252641394571 0.000481063402506462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21244846623374 2.20674830020664 0.326768777085929 19.8090573944035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0331792601042217 0.0139861796933249 0.0246052439816088 0.000529940322065472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21135627850143 2.20641695682619 0.327013660829939 19.8027337563258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0404751182369127 0.0189971622622203 0.0261957592670141 0.000891583776967403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.20907328490079 2.20571003196522 0.327185341689425 19.7898967088292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0481877006681013 0.0260339326311044 0.0290803985899761 0.00164328335596027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21246076253105 2.20654924442687 0.326916446710351 19.8058785532867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0323578187808135 0.013445177658424 0.0246083175852956 0.000489939564011823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21202813967126 2.20616620627863 0.326932175625651 19.798915141621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0347320652233235 0.0144388352290442 0.0247427543874284 0.000567008633586042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21080530913776 2.20537366794053 0.327340089326232 19.7850224854313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398333004142166 0.0181503896599405 0.0249844479402765 0.000831556086985168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.19746356162547 2.19886207142162 0.328333881402258 19.6718778980488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0670401386110787 0.0402149693766756 0.0386345005202556 0.00424555555770956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17278330490658 2.18907318399782 0.328542484000599 19.503781713794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0901168145805497 0.0644243478598728 0.0488895824069399 0.0118903911125879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53228308881529 3.54354214280402 5.51793174061026 56.0722273193502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018117946257621 0.0658919884257488 0.00434553291174606 0.0206513456512651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.5322586508226 3.54353439457273 5.51788550237689 56.0720280540404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181346815171096 0.065885899449103 0.00434486423836123 0.0206507113964895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53220706080241 3.54351489169742 5.51775897389694 56.0714491502212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0182285406548249 0.0658909089827917 0.00437182281747773 0.0206550386993818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53216373323192 3.5435827636261 5.51666617063316 56.0725452366083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186529276738817 0.0658669916609334 0.00439963421005061 0.0204161106185089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.52938049917689 3.54180070338154 5.50536986262409 56.0133877689245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0231752197347732 0.0673102463446751 0.00491644228866042 0.021533662728495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.52510255923267 3.5394364757348 5.49554491873455 55.9410372382132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0294765680290409 0.0700827018510905 0.00587445042309006 0.0229958276059515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53221193088123 3.54355093394301 5.51728232603068 56.0717281062997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0185733029897604 0.0659244487186398 0.0044126467835821 0.0205932178784098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53158560120857 3.5431554019106 5.51746532180856 56.0609254258316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019958490230702 0.0663012864544531 0.00458669909974344 0.0209715811240901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.52903796707748 3.54151285959868 5.5171023733667 56.015408803936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0243572278808219 0.0677066442681484 0.00512112817003327 0.0218803165596481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.50762310084139 3.52964821552663 5.48313022066749 55.6638049628403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0468541242498276 0.0811968762903076 0.00953205420122128 0.0291532668951626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.46814147392484 3.50864924856547 5.42565588998972 55.049982845649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0706143156248477 0.102021190887508 0.0170078078949985 0.0438108260254211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636989624055146 0.63435761592479 0.562848167404578 2.16646270359229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00669996044801604 0.011771886469593 0.000865518346265896 0.00655985825847788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.63702357943324 0.634382873121346 0.562846582302558 2.16648782092878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00676921313261488 0.0118374156222422 0.000861077415748692 0.00656313744216436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.637088659972289 0.634493426213508 0.562870169337206 2.16672618804394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00701423380720292 0.012186341437846 0.000873637450102596 0.00668576476685432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.637266271987416 0.634846782040685 0.562858098276919 2.16702381505762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00797417645735453 0.0131236732024678 0.000897632887807244 0.00669802341639376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.63972801663454 0.637813023621732 0.562630017181202 2.17302952433106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144495842550465 0.0197789554705159 0.00134990295074459 0.00712779298664418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.642721997338827 0.641147374721374 0.561976743814946 2.17997116413573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220097782345882 0.0272070949532661 0.00233109038308511 0.00784480645604027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.63733957999427 0.634899423954186 0.562776102506881 2.16782806697119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00764256010499009 0.0126987839484422 0.000959362983197763 0.00671679543999857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.638156424226409 0.636034910771469 0.562676660232146 2.17032292423467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00989233950689382 0.0148714844635052 0.00109109885452687 0.00680243787204426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.640830195804676 0.639018761493798 0.562347921866994 2.17773153565201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.015788520408357 0.0204027777210127 0.00163906568113551 0.00712730834562017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650822787852975 0.649984210263524 0.557641592656488 2.19953181013739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0408380944152902 0.0447387136332245 0.0057191930571597 0.0104742935833371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.658978102945142 0.659767107394967 0.54806114097778 2.21367647492623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0658167741358115 0.0690489673699118 0.0131053959524065 0.0170924341286949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00399666786078 2.01584612216104 7.87906615821346 24.3645705635156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0155042517787805 0.0501461983788171 0.00566388805832893 0.0193612682787246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00446184974651 2.01630798330965 7.87843763106843 24.3711313600418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156024892460164 0.0501927808523578 0.0058420138203498 0.0193976102459478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00437845478659 2.01626128244898 7.87640967345484 24.3679267961703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156707164354914 0.0503365798630153 0.00585183306079108 0.019534318288065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00491602506237 2.01689931482581 7.87586823040768 24.3760120636753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0159771327388833 0.0506909652032136 0.00564883273719999 0.0196247833581628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00500792645613 2.01714286096911 7.87038866623485 24.3638207462865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201257138103735 0.0536216840754917 0.00588228020826292 0.0197295493225434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00444743153741 2.01665820712338 7.86034671269121 24.3348585888839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0265393900608104 0.0584025728460497 0.00718258906440694 0.0203139194696677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.0056750355378 2.01766787517573 7.87325896752315 24.3875928944472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.015794023575271 0.0504795006492135 0.00569324528318265 0.0195416374192678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00586215179127 2.01805234361172 7.87076397394705 24.3885360887401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0166939435743279 0.0511053890075842 0.00526599797899604 0.0193022100154671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00743954563458 2.01984420143537 7.86136253307044 24.4005353935545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205824840892343 0.0542132302816834 0.00565281469532531 0.0197629228496541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00376500385554 2.0166944911535 7.78181516437318 24.2561754542975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0421256024765862 0.0732700236432847 0.00810582925765903 0.0253226566693117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.988420241248 2.00231899347493 7.64140439516637 23.9103854414513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0656764326515403 0.0958724761272193 0.0142878307570158 0.037104159900078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18403087540931 1.17703571338242 1.59270795388459 7.11421978033962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205784426423076 0.0147880949363557 0.00958966649469907 0.00361702709833503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1840023181281 1.17701366177074 1.59287875162258 7.11418227075717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0206861267406178 0.0149315480391099 0.00976704684107497 0.00384765626310584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18419731030541 1.17722593188377 1.59327169849019 7.11647978373683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208291467093223 0.0149761402130443 0.00988737466769855 0.00378235107662219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18484956994789 1.17793322388963 1.59371950293506 7.12308006824279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0211957947777759 0.015452886150095 0.0100282417515229 0.00396845166230369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18657408566026 1.18004366619833 1.59309870754714 7.13674051185172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0254049933795909 0.01951905072878 0.0105259346468167 0.00430656447259256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18947809959869 1.18368005941731 1.59210671049977 7.16205184991251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0318990301254092 0.0258556613648794 0.0116067705653064 0.00520477662752673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18323266972625 1.17632432826029 1.59156959767886 7.10565444799505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208642356226937 0.015236821743724 0.00961918985805304 0.00386150640969313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18370725826302 1.17701945869493 1.59157832253269 7.11017996571887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0219931193686052 0.0161698413817123 0.0098512006049031 0.00383162980021672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18591740132303 1.17981085057787 1.59281142471924 7.13098501343535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0263315830587417 0.0203613906491674 0.0107337372891872 0.00425881810320389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18853789361536 1.1874540536639 1.57954295496757 7.15629939828588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0500372950358257 0.0434041438584723 0.0164059052737014 0.00777735332656786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18500985224357 1.19335261396029 1.54849577522478 7.15045164952952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0748115213214599 0.0681272300127126 0.0249185568751452 0.0159066516426283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17971007492049 2.17413954728234 10.2159784010427 29.4261883410166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0517082568826474 0.0729820875466661 0.0249153409510201 0.0423185847235891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18016542277995 2.17463673852021 10.2165924226583 29.4356305408766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0517435637197353 0.0730558182566748 0.0249730788762442 0.0423888021458473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.1798293108568 2.17432199429717 10.2166185927744 29.430228062021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0518461594344063 0.073115873577294 0.0250228611084137 0.0425688593831578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18000307203861 2.17460363843386 10.2145189437277 29.4327815532723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0520444807262542 0.0732746009735002 0.0251010187314955 0.0427080320077243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17994006622472 2.17522827344006 10.2030940870319 29.427630160677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0552339877180037 0.0753264843235071 0.0315728384798905 0.0433870932940135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18047981626181 2.1765320571275 10.1819525657887 29.4267000742401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0595133012344149 0.0790222876676084 0.0325726589194163 0.044447298484895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.1797017666728 2.17420945496466 10.2165967959719 29.427746710873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.052220293556942 0.0731068667736541 0.0279257109734501 0.0424150225894036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17892405325855 2.17367860930466 10.2134377895669 29.4138403509817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0527045491338375 0.0734934963695523 0.0279090025815632 0.0424872612037519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17824865177387 2.17359892074413 10.206243053311 29.4005397877945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.055406933383616 0.0754334436311684 0.0314923350174799 0.0429299260710295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17643085309652 2.17359056882328 10.087583419059 29.2824029484226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0724348935321146 0.0913677003433264 0.0342824580583761 0.0494357299260159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17123620998265 2.17020030120779 9.83650278636504 29.026580152642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0933815358933953 0.111237653318252 0.0418069266559666 0.0613358271564978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18888688067008 2.18160080607904 0.164774632155132 19.2041587985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0520384959828688 0.0124234422698828 0.0522614351346089 0.000328110092290901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18889784302426 2.18146679128403 0.164787190149166 19.201952877656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0530378866035686 0.0124168901460997 0.0528164666593304 0.00032745665330146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18888813422936 2.18132763799632 0.164800975018183 19.1996623439524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0542738619366809 0.0124727248548404 0.0532557612028027 0.00033107812784053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18881051706425 2.18103420788727 0.164833448004472 19.1948327654242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0595911432159773 0.0128022698771934 0.0582609907546911 0.000351607078090597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18769403137487 2.17965712133093 0.165014657606515 19.1721718325293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0672910884165347 0.0170507534306597 0.0598412268556165 0.000632057740413263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18530092183648 2.17795498224724 0.16528828649158 19.1441794926389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0746288184176593 0.0236815551412504 0.0618749769558203 0.00126092264122668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18892342844038 2.18149584190263 0.16462757607742 19.2030567458105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0554522018081739 0.0131468404952138 0.0543768301357294 0.000366699548410708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18875271978338 2.18133085709338 0.164496246546527 19.2009739375665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0578951462843379 0.0146068033925746 0.0549770092013333 0.00045091891051653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18779888107352 2.18082025042631 0.164274648703702 19.1938596334129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0671422981097269 0.0185615826819674 0.0614216676205339 0.000755528876655517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17650588936375 2.17657292052759 0.16388571888056 19.1300960570752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0917066873166234 0.0398498923229577 0.077237702842861 0.00400317617653266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.15201335463729 2.16802350125242 0.163830069430494 18.9969004488121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121108515259379 0.0628891460424616 0.107208033810731 0.0110783239664289 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181374278575156 0.0690792011249475 0.146218433379678 0.109842803479756 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.1470542143799 0.0320421306609082 0.0799969363209245 0.00693958727634232 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181406731485478 0.0689875658790002 0.146248804248395 0.109797872001547 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.147094798494527 0.0319787110941696 0.0800385931564533 0.00692179109484809 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181442984515737 0.0689035480967111 0.14628087563451 0.109755094387822 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.147137247688061 0.0319186632092973 0.0800824265358531 0.00690496341833172 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181527652952776 0.0687436367101184 0.146350243507969 0.109671694090163 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.147230754638707 0.0317520555136696 0.0801771439641409 0.00685778139138132 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.182792447108113 0.0684063801693966 0.147019151246081 0.109306077192689 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.148758330534606 0.031476023172031 0.0814797044287654 0.00678618272227088 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.183609543334205 0.0686183960950797 0.147521055558921 0.109207785664184 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.149463805373361 0.0314494781860168 0.0821307754484219 0.0067570303955373 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.18133237124348 0.0691020528685783 0.145986410409075 0.109886773777165 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.146928010089393 0.0319760234866143 0.0797263113503375 0.00689973932965741 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181378271988356 0.0692194801731022 0.145781467344633 0.109956827060811 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.146874875469696 0.0319897418395778 0.0794891407709192 0.00687441572384761 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181634094411066 0.0698912331278799 0.145239640846518 0.110171534195694 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.146825193355586 0.0327280070979036 0.0789972899436528 0.00712033792461242 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181395329129283 0.0698424846533895 0.138196601568212 0.100845068426526 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.149559601802791 0.0361706739147593 0.0786712697024442 0.00748125265304965 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.187615491473462 0.0751324100362144 0.136471720090646 0.0962981514732054 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.154707339030834 0.0431070381845379 0.080178771330892 0.00985507306329571 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.250989404488807 0.171580744135039 0.133922717884367 0.212894455389561 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109823435554578 0.0432814807116314 0.0114075812993817 0.0077657539188601 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.25101590673587 0.17157059740126 0.133944884350075 0.212837721625743 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109809242467678 0.043371002207792 0.0113930944412252 0.00777736166826895 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.251048325320791 0.171557284094616 0.133961066560343 0.212779687298035 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109799471982797 0.0435635528724762 0.0113808238071626 0.00784195672427611 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.2530397017408 0.173529867844021 0.135601594589106 0.216548979013585 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.10990505085536 0.0437285508246231 0.0113216641773487 0.00787656185131093 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.251601639713562 0.17159088434075 0.133967036478773 0.212347360437155 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109610450886018 0.0441923648589325 0.0111732808659027 0.00789012767898138 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.251598292494425 0.170662118655282 0.131366487757436 0.208994461170727 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108067570519323 0.0440017908355686 0.00956497128846827 0.00745364093974022 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.25068044361428 0.171275831058291 0.134102659708994 0.212341742209151 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109317252713664 0.0433357935398117 0.0112660443536771 0.0078661085953474 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.252251063884155 0.17271355439959 0.135570010663165 0.215147107409227 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109946282507428 0.0425198556920737 0.011697252939415 0.00744348213814283 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.252429136817211 0.172386112205478 0.135701240261998 0.214568128184199 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109146016534015 0.0424591488732755 0.011423484423781 0.00760499319140726 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.254027334818645 0.169968650917377 0.133898882586732 0.209364819929264 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110508927437692 0.041948886759204 0.0120534612556589 0.00732776669973693 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.263154049559226 0.170763409123349 0.12945339985429 0.207009431023644 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114556963807074 0.0434937002650508 0.0118501580231516 0.00813356118330681 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19993882593899 1.14733126621849 0.26063574418666 5.64107760833225 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0996915382348925 0.108425901690118 0.0258115459799382 0.0440611172488337 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19991724277056 1.14735693181079 0.26059246982873 5.64131913767533 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0996607419074027 0.108475537366017 0.025814594431077 0.0440854337271973 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19987188849504 1.1473882400249 0.260546047692635 5.64160736852442 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0996311669704308 0.108527103242804 0.0258170442446233 0.0441135457976527 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19971413942009 1.14746776772356 0.260443552336413 5.64232406954922 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0995717281897071 0.108637987764638 0.0258201660131017 0.0441800766647427 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19816423973938 1.14799928023954 0.259868093039024 5.64695916720044 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0994005181740836 0.109257150700455 0.0258102301676496 0.044627533549658 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19562862004361 1.14908922932846 0.258709624236638 5.65576102617765 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100144395747891 0.110548415074633 0.026018902172369 0.0457356254848459 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19991332424333 1.14541511047813 0.260940434816097 5.62244557348509 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100110304601429 0.107140955330375 0.0259104737746656 0.0420304623754477 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19968693673035 1.14539968887499 0.260735331289936 5.62235705323644 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100373628540644 0.107334165503006 0.0259715731148236 0.042182597274988 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19797341631926 1.1444168780745 0.260556287493254 5.61331800723536 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.101064232554927 0.107381804451552 0.0261182828819153 0.0422074263096978 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18392134567452 1.14676408198339 0.258004309708978 5.63346995976927 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.103005463758599 0.110244940440252 0.0263367765624937 0.0450706861106455 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.15718957330599 1.15231782009917 0.253812171185993 5.68117849400944 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105345958826882 0.115768874282833 0.0264410533059578 0.0509658882510624 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.103213625219664 0.0927869175370337 0.0318861984347308 0.0626289105611391 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0378719770944466 0.0224419695274576 0.00844363935270998 0.00262952580757673 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.103206758610791 0.0928100576112177 0.0318849260819623 0.0626462982388579 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0378189421311339 0.0221542170502814 0.00839815378099534 0.00248010572869058 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.102448829349765 0.092118376804671 0.0315478537849892 0.0618583864828637 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377694688152697 0.0221305707077971 0.00835408848680182 0.0024859002467329 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.102449290085359 0.0921843838886499 0.0315436844086743 0.061899748920506 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0376833978202065 0.0222373521314744 0.00827018753751957 0.00250588805200501 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.103245761086907 0.0931166784316767 0.031610565964506 0.0627021123516871 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0376118115612032 0.0223143197919523 0.00799749022875455 0.00243533079081714 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.104480429862348 0.0945855580897629 0.0316019011040375 0.0638263153312252 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0379119813053421 0.0230540814999804 0.00782263619024451 0.00257574328463091 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.102838413749573 0.0924966771313117 0.0317549340972487 0.0624026907989142 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037747364458471 0.0222321485415431 0.00838925700986957 0.00259427810923233 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.10286683471224 0.0926290210811483 0.031671047560062 0.0625045137103118 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0376487988842216 0.0224794643116376 0.0083441441513079 0.00268213026382224 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.104463642883096 0.0944160106332965 0.0320968294185948 0.0642586776366978 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0375649583753633 0.0226933737937579 0.00828383290761607 0.002692620149702 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.106510342611417 0.0968499073806886 0.0311076110947764 0.0653005810837118 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037882948666389 0.0238071279347278 0.007746558319508 0.00259396109308591 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.11373462042482 0.103282642580434 0.0306652540747805 0.0703497892900607 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0422111369312657 0.0261533733608986 0.00866560648338759 0.00264134829145107 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307210648691991 0.292684790313684 0.294495772385662 0.622688562395731 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0359005197746024 0.0304361258475938 0.010131668375745 0.00729577340286759 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307211151462919 0.292679680394279 0.294421763703427 0.622710749639058 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0358735587174825 0.0304339863074693 0.0101189244407434 0.00730966234365788 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307209296386646 0.292678314149949 0.294341698824842 0.622735368075802 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0358932289404982 0.0288410953509147 0.0101144261450121 0.00510367851703627 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307207231477432 0.292696462840419 0.29416559041694 0.622803811797085 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0359002273069898 0.0287917267493455 0.010100767744534 0.00509595099973861 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.304936031932317 0.290818482939753 0.291805865020691 0.617026474776582 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0362291432735154 0.0306229562814955 0.0101411339475686 0.00700523538442491 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.305177910995483 0.291380616062274 0.290523866478681 0.617682182651878 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0369017526793911 0.0311419272372485 0.0101952536234576 0.00700517848904443 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308018592294662 0.295114360099958 0.29454096917973 0.632033312849489 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0360098063535124 0.0316314134567129 0.0101753919794855 0.00825036321305546 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307838721745572 0.295272633901821 0.29413673339315 0.632060694211033 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0378020317699765 0.0300687244910883 0.0132125145455872 0.0060417866777118 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309714393253914 0.297855907837306 0.294380872107461 0.638318068357678 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0370846920351164 0.0319273865513885 0.0127934789268576 0.00785021077837223 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.314575138126207 0.305550786871784 0.291932167136884 0.653822041319935 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0405121985403873 0.0351608898687501 0.0136017130191711 0.00797422469010731 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.315973382686363 0.308285040009747 0.281223622516387 0.646452637356554 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0469753432397875 0.0378387045321689 0.015909582875479 0.00723408996498968 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.125276382314561 0.041748066578465 0.0392517946905462 0.0275506778563039 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.11481888567433 0.0302802425338846 0.0193824496626011 0.00681381229847675 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.125351307895905 0.0417247438773004 0.0392861948422494 0.0275648169168613 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114886944882223 0.0303884876971672 0.0194060975544312 0.006859661012288 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.125779543129961 0.0416791266849167 0.0393537603249447 0.0275417180846799 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115346818532529 0.0303019509863471 0.0195170478808319 0.00683053116320922 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.125981443713047 0.0416328365064826 0.0394175963567143 0.0275664655833594 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114773797398081 0.0289358719566284 0.0190611467621491 0.00563463076764352 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.127242468653981 0.0414350848628444 0.0396487101034897 0.0276359150812177 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114721259895496 0.0288995952977338 0.0186294126354625 0.00567330740320985 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.12921985884332 0.0413275504091106 0.03983596766589 0.027669215233463 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.115185454137528 0.0290157283375741 0.0185126600916934 0.0057330308353687 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.12716887944909 0.0429666172808485 0.0406146704369009 0.0288880340726187 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.116076032616461 0.0303596957693394 0.0199604868755781 0.00683368875698525 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.127563789311014 0.0430097749702346 0.0406198046260959 0.0289067394339842 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.116283382465135 0.0292725979004544 0.0199709590608891 0.00569183645362578 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.128729505367286 0.0431739335375278 0.0406136354621842 0.0289426510298061 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.116562444653545 0.0294125900067602 0.0199584692260363 0.00574442903373839 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.140796794703208 0.0463567042314618 0.0425184710955804 0.03081485779419 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119242837733893 0.0332791074958526 0.0191040862352997 0.00782552328793693 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.155231151966034 0.0426928877161056 0.0375044970590728 0.0239231701012134 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126880778662952 0.0345792808488374 0.019877361749614 0.00795228290084605 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.186907123315147 0.149341723623498 0.126542400011897 0.213230869937263 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0693466131927713 0.0254910360326751 0.00816299071336441 0.00357660960910239 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.186919892279341 0.149328289427106 0.126525336499312 0.213248676403317 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0693304106896263 0.0254820312622218 0.00817614338934059 0.00357674390329752 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.186947227070595 0.149320001513631 0.126505228485398 0.213270141241519 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0693216716171223 0.0254658888815637 0.00819084943433692 0.00357802192518705 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.187041271909932 0.149323071011073 0.126451855364488 0.213324736948972 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0696343487943328 0.0258847695464671 0.00838243544215429 0.00372153842852081 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.184751432411879 0.146749436787248 0.123889367501121 0.207536551242237 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0693497228572485 0.0253238723689326 0.00865581159784623 0.00352697107304264 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.190106118906826 0.151670004622504 0.130567538280312 0.220308518853275 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0699240037157007 0.0255581148387066 0.00909893927221763 0.00306264959379872 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.186945354997575 0.149575607030651 0.126453245181359 0.213618188647614 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0682371126825801 0.0256867946683405 0.00761403984171761 0.00356114389810953 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.186379744392763 0.149894949799247 0.1264232876177 0.214409215641499 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0675009104830677 0.0250664410500797 0.00731082329049002 0.00303499823695598 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.184584010340943 0.148553624296701 0.12264552203069 0.209644374474113 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0678463037375991 0.0257691993167472 0.00745384088663907 0.00312413144026837 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.193553100682477 0.154233863056941 0.120629202706963 0.212858845223073 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0723419049540258 0.0330164945183286 0.00851929683095349 0.00483949692828518 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.213509984531711 0.166285636992659 0.124349132336942 0.229290693277922 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.079415075578536 0.0399292961422539 0.00925167008471658 0.00635572721008494 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17719356536326 1.24840307148866 0.0943165917696502 6.51774370832261 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218437315938751 0.133240541180825 0.000579218702093631 0.135293582362284 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17717744983419 1.24841845842011 0.0943210320686897 6.51788180418245 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218325819327502 0.133155841983624 0.000579409297223049 0.135268106490756 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17714720055134 1.24843568598801 0.0943225309498094 6.51803978099597 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218235451321758 0.13307638193951 0.000579936394722402 0.135249916618757 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17704126877942 1.24847519859368 0.0943134224682488 6.51841006499605 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218078069113388 0.13292626602528 0.000581926593446305 0.135232225664144 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17604341193648 1.24870324978451 0.0941213516429923 6.52064632019095 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222321140950816 0.132467681370571 0.000608174619081681 0.135417168493945 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17409821395615 1.24887180476525 0.0936666864882852 6.52177004301422 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0231268755770429 0.132202920538463 0.000660592941416057 0.135694117609812 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17707148779992 1.2483985892111 0.0944556734622416 6.51774501043846 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0219227053658684 0.133446531368664 0.000584999179138403 0.135448590739207 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17677876233896 1.2484140669868 0.0945536173405759 6.51796032342991 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220958494294044 0.13367628043518 0.000595807007715918 0.135667767450816 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17568350554607 1.24850705370407 0.0946230110016229 6.51905248534802 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022570749848161 0.134224048919827 0.000630880157499472 0.136306256149895 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.16466440897104 1.24936266728136 0.0933185318103546 6.52767493399027 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293199747423441 0.142694623656189 0.00334439677643263 0.150052216913849 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.14342953349774 1.25182004652949 0.0899652099346653 6.5542457358865 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0371282499261535 0.152152414208454 0.00773661890649155 0.166372469373214 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43507639278456 1.49757238530397 0.183795015509421 9.28101557314085 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0271482952624019 0.140972483720125 0.00714360986610021 0.10532317157702 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43388076993957 1.49458233743851 0.183422270797192 9.24068694674081 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0271851460437045 0.139114028127008 0.00713311810119394 0.101807697137906 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43376370335892 1.49462773258971 0.18336828192742 9.24121615357686 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0272220420767941 0.139068444503672 0.0071143208642433 0.101804492671529 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43348450358194 1.49471444159114 0.183241601573462 9.24222857673152 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0272989537921456 0.138997420908021 0.007077677026251 0.101824584992874 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43162829723242 1.4950110341268 0.182287536968156 9.24571554132269 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0289740904944774 0.138926525184848 0.00766053285431878 0.102162275954053 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42861407706368 1.4952268580603 0.180649155878453 9.24829802867647 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0306255547642622 0.139255555903235 0.00827597010437756 0.102952784844666 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43384868113197 1.49456580731061 0.183414598643998 9.24045083535398 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0274687589735925 0.139194213052315 0.00718641888904531 0.101927631521362 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43354535393375 1.49458354447632 0.183274660035946 9.24062088526529 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0281273077875773 0.139292741587233 0.00734604278454785 0.102118767356403 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43208379960527 1.49437761091377 0.182387079694458 9.23757829410391 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.029548508930277 0.139619526999293 0.00771939246894456 0.102647947897438 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.41969290589616 1.48978456077353 0.176326812199821 9.17952784536337 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0326339337860957 0.138985559653667 0.00776293652453573 0.10159189656757 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39579994566165 1.48865244200629 0.163761705872283 9.16696960920629 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0404981636289482 0.144296869191111 0.0104086942042732 0.110905355463049 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19551444623166 1.18492271850146 0.740901688224152 6.44876745366216 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0336848078347902 0.0816098646163087 0.00471733570381723 0.0278537875161476 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19550291225608 1.18489973640344 0.740802141828809 6.44857522134871 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0328840386314551 0.0812890890207337 0.00399355467815924 0.0276650785758607 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19548075050288 1.18487396093855 0.740689272210348 6.44835098105015 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0334865001749706 0.0812867597355926 0.00466121498169214 0.0276704470112969 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19540582931715 1.18481796527159 0.740428606343247 6.44782620341928 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0334203369761149 0.0813048961520804 0.00463337717857222 0.0276918434230432 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19369480337663 1.18355542947742 0.740469604583947 6.43690437409895 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0366326173098445 0.0815456515646017 0.00564716355074148 0.0278653771364535 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19062752659201 1.1814709455389 0.740960531197831 6.41876549359409 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0376549099517029 0.0817960785352902 0.00582035971004237 0.0280776231249413 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19572543620284 1.1860547198597 0.740161900458098 6.45915897220301 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0346035113223437 0.082042694583113 0.00510197370890617 0.0283715030029215 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19652104909367 1.18685980918008 0.738738388101796 6.46496299326065 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0361709178815296 0.0819939282057551 0.00539058013475997 0.0283294974123594 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19504762178681 1.18562891898721 0.740244652992811 6.45390204667589 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0368921052118888 0.0819620772356331 0.00556410029974077 0.0283382319448352 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18947802844509 1.18349824175304 0.733435668008166 6.42556378781348 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0415576428756234 0.0833878166335013 0.0078209773081495 0.029537981912276 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17820672545854 1.18080531771591 0.716497525279926 6.38745224017239 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0454876140591553 0.0867780184207312 0.00769640763201298 0.0334684471335747 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135215618601066 0.0358065541558464 0.0855369358033241 0.0341757561083913 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126923468587394 0.0271747909671209 0.0661591563047588 0.0051225199390159 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135323627010607 0.0357646997456145 0.0855708206023617 0.0341662841310968 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.127015718055467 0.0271604479164666 0.0661773640639831 0.00511336305114276 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135437893043879 0.0357493686428848 0.0856085169018246 0.0341612934633923 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.127114391085323 0.0274318170728096 0.0661986865416601 0.00523490890319549 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135678647388893 0.0357775459475486 0.085695242645893 0.0341617606543234 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12732600831858 0.0274647430620923 0.0662506097118105 0.00522936717145481 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.137016936232883 0.036171790462952 0.0862896265121161 0.0341232241085522 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.128424056534306 0.0274748985965648 0.0666213667896509 0.00510673341908862 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138665457942826 0.038004921515769 0.0870656795585232 0.0344370947298184 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.129818070722126 0.02892980475389 0.0671521861635338 0.00531091110206945 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135059008698857 0.0355956028532003 0.0854768778392591 0.0341540683497363 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126760221067168 0.0269939136957928 0.0660934592230656 0.00505686302135452 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135113783659781 0.0354595233404283 0.0854649734790427 0.0341474509618303 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126788324732683 0.0268565156733256 0.0660738110526104 0.00500201877831778 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135883269531313 0.0352553359800442 0.085666346894549 0.033993726225425 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.127467192452408 0.0265397118830474 0.0662249898330796 0.00469548461611999 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139491080395839 0.0373842475994419 0.08267249172642 0.0286027246247279 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133235375549641 0.0305139226668699 0.0678570403962959 0.00504646754159775 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.147916441260643 0.0452086103006237 0.0854226692953809 0.0302475875293363 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.140184086887804 0.0367686913468392 0.070060900333637 0.00601482866797651 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.223303641167088 0.151190703930025 0.114481027482888 0.183960942853962 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105137673842477 0.0441900590511583 0.00883957827495166 0.00983500814863174 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225158290039946 0.153096545702082 0.115682567914531 0.187394089642653 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105088455283405 0.0441838604435362 0.00881457207851477 0.00983429736316747 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227061154797176 0.155033990180341 0.117011806329347 0.190856980075995 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106342960987082 0.0444035844337407 0.0097955444790573 0.00993217034044252 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227076295216665 0.155090827707947 0.116989961934998 0.190900235708177 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.10585246661598 0.0449335098007647 0.00909631278002405 0.0102295372122286 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.229373582735528 0.157204845344728 0.118018294439698 0.19447729461665 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105425903628966 0.0449065394055763 0.00885709959795332 0.0102639021939281 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.230167388965663 0.157025879657817 0.117198911148531 0.19400909470121 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106156644430886 0.0448537233341876 0.00973121564253688 0.0102628132637159 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225100213145109 0.153101518098707 0.115601135342503 0.187372736384876 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106470223307573 0.0446348503295972 0.00995875191553673 0.010047825149601 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.223751295564829 0.151646032114603 0.114782407027798 0.184658930489125 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106950397793238 0.0445532325795857 0.0103444661414855 0.00994347716000133 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.229893269878751 0.157116679536057 0.118070049201258 0.194219122105277 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105035965289016 0.0443414384547465 0.00906439208903637 0.00968855862814605 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.249649677277522 0.172977172255445 0.126965344107742 0.223258140258714 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109935154022723 0.0446660617928125 0.0102073370296437 0.00916415275948723 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.271991276471521 0.186550452802015 0.125840845330528 0.24144886011882 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.113717731978247 0.0523343190317759 0.0111906956653723 0.011952817867037 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26097395187889 1.21382184171001 0.236637256018629 6.25068569602021 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0801905327756511 0.105918993422504 0.0184774015859271 0.0444209840179615 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26104094914 1.21383070629038 0.236686718482641 6.25073982556239 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0801278064022391 0.105838447037951 0.0185007337664054 0.0443789024182624 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26109414816182 1.21384314010624 0.236738077035573 6.25082596120382 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0800710147165982 0.105761040092285 0.0185241972434712 0.0443393235542685 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26115106353821 1.21387965398008 0.236833651907701 6.25110304693925 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799859753260769 0.105622622007242 0.0185708646499957 0.0442723118527726 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26074462844437 1.21417845003429 0.237193633293997 6.25358565122333 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799290680178041 0.105157143333643 0.0187553186992665 0.0441150634007761 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.25932079340612 1.21471499892013 0.237495861931351 6.2582106095464 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0800108547153074 0.1048380630956 0.0189356303886656 0.0441422365850433 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26095328721041 1.21379666125274 0.23664685888901 6.25039366143843 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0802665165461953 0.106077747978374 0.0184268725676067 0.0444747197126818 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26074466848203 1.21381814303436 0.236639578514385 6.25052066246419 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.080574821725237 0.106281922751087 0.0183771614479707 0.0445656036496818 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26024520257655 1.21502680917232 0.236327830778323 6.26203968078014 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.081186533394171 0.107198080113374 0.0182520268934116 0.0452606192275386 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24884804087324 1.21764845602733 0.235648903108269 6.28517513514272 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0838257543855867 0.109869545569636 0.0178822856787648 0.0476553414895332 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22335962218357 1.21895652924379 0.235805467339352 6.28916582479828 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0869549238370919 0.111589210959676 0.0177726818202424 0.0481654040157775 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0937759818813251 0.0765005775546301 0.0302898273820693 0.0500337769568846 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0374919536826688 0.0161754042808464 0.00481852007772915 0.0011378343558108 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0935258829781369 0.0761696754461635 0.0302732992041289 0.0497942335771726 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0374578366088711 0.0162662060004949 0.00478812261355206 0.00114659896386615 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0935583989315406 0.0761619854318362 0.0302620411394151 0.0498009814393574 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0374257950608766 0.0161418700559439 0.00475864599625534 0.00113476707344706 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0936425096825119 0.0761665313349919 0.0302370241189767 0.0498203041301618 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0373800548423964 0.0161951501342986 0.00470381317062958 0.0011430332197865 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0936251182863518 0.0759271467598768 0.0298996520318231 0.0494567861154788 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0371041879553715 0.0173094711135919 0.0042708501625855 0.00129552966718049 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0946791448657883 0.0766058758918652 0.029770624029104 0.0496938449910507 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0372517293141976 0.0179659674988272 0.00411110927969788 0.00132394656968901 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0936586503250161 0.0762250287041973 0.0302976453742146 0.0497810762808203 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377568812710611 0.0161059552316305 0.00492961936141706 0.00110667916746184 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0949991452622747 0.0773948697774956 0.0306943158103632 0.0507883057698037 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0383120056664759 0.0174080794053548 0.00512890507617314 0.00199049808578347 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0955599494627138 0.0777523699647547 0.0307219513343992 0.0509170080937067 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0388491529544158 0.017987242993935 0.00531247325527768 0.00200630087939866 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.100442757984253 0.0803764724263713 0.0303641091426982 0.0516733238525352 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0446652997735164 0.0219230671331175 0.00741775753905332 0.00267338180768644 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.109821631072554 0.0850805427511647 0.0308622360023485 0.0545274290515651 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0507747667474144 0.0255738043014229 0.00947939568640422 0.00283600753244726 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.324119006528204 0.306719370731437 0.32539855382599 0.684576299837747 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0429229686976167 0.0273585403897311 0.0181314129410611 0.00561782290404027 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.324091901110125 0.306716236644432 0.325404882959806 0.68463522066683 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0429210119817429 0.0273289519966118 0.018129716607081 0.00561103915735086 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.323706551469411 0.306336945592051 0.325061305321978 0.683459550387902 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0430899437271347 0.0275009203632349 0.0181737683609511 0.00563011265030305 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.323665489324938 0.306375020150347 0.325034701441119 0.683614807406295 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0430665565764501 0.0274769676497878 0.0181607246410967 0.00562148770783576 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.3249525833242 0.30898302061502 0.326142487913289 0.693966345956887 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0422939815444415 0.0284950968980614 0.0168974240920028 0.00616357974239956 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.326082863587123 0.310660463681881 0.325736013637744 0.697494325630916 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0425467545503543 0.0293231760839954 0.0167396170379391 0.00624374620799264 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.323694698822168 0.306362873420379 0.324591309375097 0.68344191073369 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0430265054055838 0.0274357326105416 0.0182627299760856 0.00561723922361376 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.32335486341726 0.306114473783562 0.323706163764162 0.682393539772036 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0433748008233196 0.0275618397537981 0.0184848259879704 0.00562225028176849 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.322878641621715 0.306536585449217 0.32256370442438 0.682922527459974 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0419382135446969 0.0280342057682071 0.0172497056506617 0.00567598479285933 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.323724534739381 0.309218426239941 0.313995138502517 0.682580144557294 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0413222796948919 0.0335300187798405 0.0135879432513394 0.00735465435537665 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.328140488005432 0.313615878105222 0.302744809295421 0.687082454539801 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0494765288854476 0.0348268924866921 0.0171260549586224 0.00603821718796818 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0820786282122053 0.0249308764893171 0.0234081177327141 0.0159532041577945 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0746757203257487 0.0173183785811912 0.00993892558930543 0.0028772107193744 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0820418338136664 0.024944394653694 0.0234134608557415 0.0159286947623835 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0745804310842906 0.0172879741142867 0.00991515430040458 0.00286432518920898 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0820123792102111 0.0249501741921757 0.0234154755614102 0.0159195808387233 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0745308320855831 0.0172388858991871 0.00988895428670813 0.00285136663220335 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0819733666463792 0.0249899558621039 0.0234192094871093 0.0159039958801611 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0738641265961605 0.0169866845374121 0.00947218577373961 0.00279911099695971 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0806481615005261 0.0241565939777573 0.0219915856984158 0.0144475979614148 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0738405057386571 0.0178438125198141 0.00939005635472991 0.00288173023876668 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0824259629229688 0.0265400037408807 0.0233468261836548 0.0159426356278718 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0739646330935337 0.0204422921958837 0.00943343939147694 0.00401911348046942 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0820611911169142 0.0248566952128076 0.0234080723303668 0.0159853307830183 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0745315067924583 0.0178613671297467 0.0099624567516975 0.00345828256033882 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0820999673445183 0.0249839855406108 0.0234092973681757 0.0160333467323526 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0739851366921789 0.0178203379872395 0.00964040326168802 0.00344548301482023 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0812202582487837 0.0245122145670752 0.0222900556463211 0.0150467223058209 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0740472391297222 0.0182798821320142 0.00961954689398953 0.00342900561338633 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.083064735508222 0.0258702988798383 0.0195878785324868 0.0128356293934976 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0760578605934326 0.0244932649814052 0.00969073223843794 0.00542395637681199 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0895385314715515 0.026842055818955 0.0161137816844963 0.00935544179588056 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803524063992238 0.027734316712603 0.00997801394205322 0.00491906001687755 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.176522287096913 0.150027453391655 0.163724102977066 0.251888063018045 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0475846852376707 0.0178010411401145 0.00451032515252933 0.0016341738755491 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.176479914128022 0.150055317078052 0.16375112536645 0.251949965894311 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0474978163768091 0.0178079211075332 0.00449046659981542 0.00163386877920401 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.176448087378883 0.150108750788741 0.163774259351707 0.252025332147575 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0475407058742997 0.017843054542002 0.0044950501852641 0.00163526021112194 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.17476383524866 0.148706151156618 0.162197373063842 0.248816340642416 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0485067458708036 0.0179729745134619 0.0052650073453587 0.00164297770720473 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.17782588952693 0.152449159369917 0.166781623545847 0.257086237302781 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0479231191557726 0.0191085173807393 0.00487132785927623 0.00173762233893018 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.177601190325759 0.153107340535472 0.165609756425725 0.255900066603438 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0488248639423705 0.0209858396922141 0.00520908080411186 0.0019271124988755 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.178034581321647 0.151782257488126 0.165437585588038 0.255413946728624 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0474360011263596 0.0178839145052811 0.00446467027564656 0.00163097240938245 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.17631502560563 0.150538360161866 0.163958465571355 0.252111935102506 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0485255896910419 0.0180522007005126 0.00516633723737714 0.00162705044595134 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.176582104483601 0.151650397155315 0.164135437311425 0.252619646269896 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0486165183074862 0.019049079538418 0.0052050183255831 0.00170161198344377 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.178373054907788 0.154288146810179 0.157763500487603 0.244657946668067 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0513569766202609 0.0259821341208087 0.00543710099286444 0.00254589852656261 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.191281050812378 0.165213971315512 0.159032496402928 0.254837236028739 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0594282991111628 0.036080121575734 0.00666279580012031 0.00495472333222181 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10632255751301 1.14216041721109 0.0567815713941406 5.34885598402407 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0299880791942748 0.108679207372472 0.00802921262399763 0.07817626516268 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10554623749297 1.14153801107824 0.057114076915277 5.34319111809667 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0302395602177414 0.108498177647809 0.0083790822641179 0.0774443479599543 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1055152173421 1.14154297497239 0.0571739845243851 5.34322703988309 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0302101480290551 0.108507626115802 0.00832970997527895 0.0774485024106538 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10539590672601 1.14156094014634 0.0572865038458945 5.34337598853657 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0301495742666316 0.108541516410787 0.00823221768821094 0.0774722554167015 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10480441680076 1.14179032199778 0.057496319525297 5.34566880346746 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0290233421421043 0.107105469736493 0.0071688623574379 0.0749944454565694 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10198797605311 1.14241355759496 0.0577365850368314 5.35126187996701 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0318272660548626 0.110286169568552 0.0097487682448612 0.0793394262069873 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10616559993341 1.14227232631857 0.0567470114063594 5.34992721513846 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0291166219567923 0.107272537512427 0.00752986707203955 0.0754984024124253 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1050262658183 1.14179720693007 0.0569702322197634 5.34567854915891 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0282064617353416 0.106051896044506 0.00694140841811812 0.0730734475792512 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10368190422566 1.14219180917744 0.0567901463784762 5.34945487321241 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0283284908265594 0.10628569242234 0.00692861406832204 0.0733437088195736 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09177292669339 1.14568757169067 0.0548710086927067 5.38262840033418 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0320725559409178 0.109387923565656 0.00990733747283074 0.0774251169345672 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.06946288762031 1.15225825500594 0.0510347119127618 5.44580585250122 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0360777531153473 0.116075792482183 0.0104854337642819 0.0860911974992603 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39734278796338 1.4518070549633 0.149778111973341 8.67324121866324 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0292808943763131 0.123748603745542 0.00913321100991802 0.0812046355172016 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39730383373924 1.45181114568838 0.149748013660107 8.67328801640151 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293194038948419 0.123656049660123 0.00913641055352669 0.0811723627514115 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39723891205689 1.45181435551677 0.149708381785562 8.67332571508889 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293675517616589 0.123571385806642 0.00914190701916353 0.0811488082704292 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39702543394646 1.45181847273328 0.149593807828463 8.67337770729741 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0307063235343834 0.12340492984825 0.0101782923643503 0.0811190898239627 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39427352355822 1.4493543395619 0.148526061313558 8.64201591579628 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0294082864419538 0.121429339822978 0.00930700415610389 0.0789436782851735 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39078119571416 1.44808500183661 0.147182660644892 8.62708832933243 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0298717024714336 0.120089745734674 0.0093847348464413 0.0781096968589759 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3980537531645 1.45203397569979 0.149946831946388 8.6762573093355 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0303315181276247 0.124181835067941 0.0100549800048035 0.0814716072050676 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39805883571254 1.45192514115501 0.149843325648414 8.67500077863422 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0304376706077171 0.124696616043625 0.0100789487074915 0.0818089124421826 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39638414138808 1.44922503694227 0.149129743293583 8.64087500748976 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0309862165749764 0.124415567197206 0.0102021276061019 0.0803744217007429 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38224913637444 1.44575219984664 0.142661325249293 8.59926891686434 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0352850279759075 0.128946987951407 0.0119936474292921 0.0840167918926276 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.35351847324894 1.44415241421218 0.130080030680944 8.58199142155941 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0385539115458707 0.136380250255076 0.0120402932730482 0.0936808832612853 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19938920085739 1.18776303864673 0.769182802074264 6.46935497778457 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0283648377304715 0.0547906698362698 0.00550859837875907 0.0130699671335733 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19940127341919 1.18774748352486 0.769196521769567 6.46918633562485 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0289874366464914 0.0549817991345648 0.00568318856782996 0.0131372356056991 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19940668790694 1.18773056754483 0.769199906284645 6.4690011687125 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0290952372474025 0.0550177495313107 0.00574334411447087 0.0131465775273966 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19939643423298 1.18769273490769 0.769176624831743 6.46858202100322 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0286455992846247 0.0551109496946528 0.0055654909806152 0.0131711605876764 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19907046346771 1.18748653380141 0.768678645584873 6.46623600650889 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0277609467358094 0.0560674555845386 0.00431717484592326 0.0134622680727008 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19791494432814 1.18683128068327 0.768290738270408 6.46013161693162 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0288484124545698 0.056816329360703 0.00427754769680802 0.0136847579289976 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1992102622754 1.18778557468128 0.769144999624349 6.46961010414759 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0291412779284973 0.0547812393741711 0.00570616777273387 0.0130802850059001 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19895163802795 1.18779093361393 0.769001741559249 6.46966407003768 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0288005410063384 0.0548335274914296 0.00548016899693636 0.0131112319302707 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19819858675787 1.18775339196367 0.768407433512608 6.46918398656485 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0292682291924215 0.0551864083316907 0.00568942385437925 0.0132824533280563 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19106117326395 1.18620697061925 0.764484309661942 6.45565835501146 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0304765626700938 0.0583545039894893 0.00468656967626389 0.0147395759779484 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17664548005385 1.18034562603279 0.755854366040604 6.39809152994912 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0344854046311315 0.0632445713985875 0.00322544526151267 0.016857823558809 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132375277959888 0.0371301348866793 0.0852913010445155 0.0352718037245676 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123887880779125 0.0293418082539802 0.0659620457587088 0.00647989117845805 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132314704543024 0.0371327195079303 0.0852608130666955 0.0353057283393852 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123863101969791 0.0293434272827043 0.065946765001003 0.00649217320321941 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132262154405839 0.0371395932341539 0.0852351913611745 0.0353406743243696 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123844933456008 0.0293495199273646 0.0659348579407243 0.00650566886812632 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132182358753444 0.0371677024331425 0.0851980654936439 0.0354144959063017 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123825094877532 0.0293645689570145 0.0659198486238812 0.00653503871640815 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132362207058641 0.0376884358800389 0.0853523032989936 0.0357032968791403 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124054340151115 0.0274013887717784 0.0660114430399861 0.00427510318996503 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132439201976085 0.0391996621793033 0.084875132908143 0.036249037723799 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124240167195382 0.0285288546131567 0.0656201948029975 0.00446481395227371 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132520708699098 0.0373849985201861 0.0852288374439039 0.0354087692545078 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124033761291719 0.029550430448907 0.0658665679520852 0.0065340993438184 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.132729434104334 0.0378103175160968 0.0852235359471164 0.0355810626226132 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12423510066076 0.0298427482857922 0.0658094154590483 0.00661095588006756 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.134869371489787 0.0390731760949051 0.086498518675888 0.0359783101717915 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126212289435799 0.0299257303485965 0.0672931825405924 0.00573692259625634 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142150632204852 0.0466562213416151 0.0895118152889615 0.0385241551158145 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.131102335241225 0.0347951129534154 0.0679522194477737 0.00615124822956391 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.152510926776886 0.0522917984018557 0.08954293935507 0.0281252804921932 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.139943618979734 0.0433765893780366 0.0717241721801794 0.00839769164685361 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227456791728353 0.153019299251039 0.114228259304218 0.186382092193424 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106414132428326 0.0481321353927772 0.0079262620208044 0.011783621749676 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227483762970986 0.15305250580393 0.11423394778969 0.186400009526302 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106409520885722 0.0481243938499173 0.007913762324388 0.0117821913768635 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227520192529202 0.153089508351246 0.11423431682908 0.186420410096439 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.107836189297018 0.0481314028624366 0.00894264007103278 0.0117744083548444 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.22762738130287 0.153190711622221 0.114217325445366 0.186477309214641 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.107851280946819 0.0482153200374844 0.00889267472670157 0.0117776833006729 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.231889257999379 0.156624139235672 0.117796159320382 0.193057621340806 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.112255079866052 0.0470396517031778 0.0117204145170499 0.0108156134843987 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.233452787394677 0.157266509041955 0.117160703219652 0.193346919211107 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.116056303104269 0.045060514947767 0.0132328256712055 0.00955872757465374 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227136967896193 0.153302113897284 0.114126107652915 0.186830471510755 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109057320713486 0.0473444498880868 0.00966526307560392 0.0112874447586676 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.2288751354254 0.15559336053577 0.115319910806559 0.190818539353681 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110647764492142 0.0465858818287722 0.0104031231750757 0.0107831001595337 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.22407887593438 0.151692767740728 0.110293601733461 0.182416373597199 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111402929654715 0.0471971854447975 0.0105643874483198 0.0112769061486465 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.236343591608993 0.161724690061467 0.117696822112632 0.201694393664431 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119611214892469 0.0477937917565592 0.0151155448803823 0.0112909847444233 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.250601936720027 0.16556644768356 0.115350740199002 0.200170172429991 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12613928438163 0.0509213136739654 0.0167382266769022 0.0122621374091075 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24949291325265 1.2013450167708 0.236398802869578 6.12709140511324 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0833752426424268 0.105924400340061 0.0192551094825959 0.0429015628365513 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24951039849594 1.20138738223537 0.236431645230939 6.12745511382311 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0833554497829158 0.105871286392075 0.0192352215020353 0.0428589092749792 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24950680268645 1.20143428791341 0.236462711041046 6.12785868111415 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0833432964395264 0.105820438845731 0.0192152713473844 0.0428195139011786 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24943720495434 1.20154175480073 0.236515031753625 6.1287862901003 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0833331891441973 0.105730633701325 0.0191754269942408 0.0427532455813481 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24832998403052 1.2021540468917 0.236648227050407 6.13410081160953 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0837235707581564 0.105455711578101 0.0190157059481892 0.042612115371142 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24592125262703 1.20306495896571 0.236658338607992 6.14205440642405 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0845795907214217 0.105318045424456 0.0188547918274302 0.0426692956687485 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.2493065919521 1.20127910257822 0.236544162599725 6.1264054979962 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0834642309814743 0.105691668895502 0.0192444275623018 0.042778369573211 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.2488921219141 1.20127067863843 0.236675336807661 6.12622674299306 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0837940146158723 0.105498742086677 0.0192323874422476 0.04269346090878 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24871770985741 1.20199034460281 0.236920413581193 6.13343297464358 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0846276914299721 0.104911658759048 0.0192070091524364 0.0422453016755658 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.23369121328976 1.20081353533104 0.237994265618528 6.11867779153473 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0880525757589673 0.102862295879389 0.0190035320319538 0.0406791007590268 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.20599653290993 1.2080027983714 0.237943417579035 6.18322717345085 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0904815282057067 0.105444369738096 0.0184877152854806 0.0441407150615931 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0932652642586205 0.0747385194843799 0.0300420432756963 0.0488249923869293 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0420186753492032 0.017149402394079 0.0068759313551713 0.00140471732622987 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0931986488450559 0.0747429557613221 0.0300457411394801 0.048832303136669 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0422546747501978 0.0171712381323021 0.0069881907456414 0.00141113864223685 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0930576471095357 0.0748128052408571 0.0300838101535111 0.0489237141012867 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0420447970417341 0.0168255270394636 0.00697128704903384 0.00134819692667597 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0929858573790326 0.0748783748147047 0.0300856546650104 0.0489553395923684 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0420102042579806 0.0170275257710336 0.00698088073944376 0.00137129942668901 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0933242891334132 0.075662410873851 0.030069119774007 0.0493816479060667 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0415019792535085 0.0174908286479931 0.00679086474512493 0.00144292654441088 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0939645048846048 0.0765318034240291 0.0301236167005169 0.0498794672973777 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0405939890201977 0.0188524532790442 0.00624997480495884 0.00182116501144492 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0930684249675913 0.0747963194235268 0.0300126188322034 0.0489063848723548 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.042029107177369 0.0169709827851291 0.0069468145902897 0.0014100662967832 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0924577695537941 0.0744265349696609 0.0298544896952418 0.0486148920016395 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0420909107930845 0.0171469172048442 0.0070202380930178 0.00142412640715994 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0926741320852115 0.0748349049937436 0.0297724848855783 0.0488920613378086 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0422928241584708 0.0171931390624886 0.00718946242568073 0.00139675852207496 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.10075315297147 0.0813677146352364 0.031020589170418 0.0540481235127934 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0418821384884576 0.0196102056497076 0.00621883166643304 0.00166781307367561 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.107343019317217 0.0826563525567584 0.0296294970946628 0.0533923447692417 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0471916838872156 0.0220210917780609 0.00756624744594489 0.00199587409682225 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.314151056842953 0.298392063042621 0.316149436024718 0.656072992942129 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0382154935498899 0.0290975950214052 0.0109177096598233 0.00566240496257612 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.314185567017058 0.29846338590917 0.31616025465111 0.656189217713629 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377452892992891 0.0291915033793061 0.0106519329183291 0.00566923624699135 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.313993480712086 0.298260621457283 0.316304833635968 0.655726122809464 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377834535760361 0.0292650982870281 0.010615946619268 0.0056781725788005 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.314057152511623 0.298423855870341 0.316281041616716 0.65595415412527 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0385347100524323 0.0293424143740646 0.0110274990224631 0.00569742381610493 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.312188843611314 0.296703558575816 0.312610204649381 0.647124319250652 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0392893062132319 0.0281244629416424 0.0110130139717365 0.00431280562765475 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.313863436748329 0.298658119276876 0.312021678367619 0.650950126310064 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0400059903333606 0.0287204223318084 0.0108371526852527 0.00434273253490045 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.312072125744489 0.295724950431407 0.313174802727676 0.646099005287175 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0383111003190583 0.0288911681625157 0.0108284133216801 0.00562465395561366 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.313788535573459 0.297107431997603 0.313536428453334 0.649887200427273 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0386441002219174 0.0290594055162444 0.010749115816247 0.0057189173050642 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.313330764967631 0.294950645884423 0.312142068281949 0.639964135066032 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0384871157042675 0.0275389316862341 0.00982054900396186 0.00393548245306294 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.320075137581858 0.29892799022478 0.307935361714401 0.646033346226094 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0432855230761551 0.030819945410212 0.00927180290976313 0.00461520504372619 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.329406470123001 0.305432465821599 0.299414837224736 0.657420917198745 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0498410846037566 0.033975012082443 0.00943549626385174 0.00538841809960316 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0767071931108069 0.0194788186752697 0.0169261128419652 0.00955350278474264 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0750779746797726 0.0196750135134861 0.00969421351909717 0.00379462322661775 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0767016845170657 0.0194849714268232 0.0169249266240269 0.00956879138629767 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0746212977713741 0.0193803964106932 0.00950470186413541 0.00376893945711664 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0767015517303227 0.0194964339443823 0.0169237132502982 0.00958437216193083 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0746540349249201 0.0191895100024671 0.00952340792910515 0.00372372461168774 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0767241912997515 0.0195321678065956 0.0169227445744921 0.00961633892236055 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0752793599756422 0.0190766817822627 0.00987459164118053 0.00376533439255912 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0778446286545447 0.0210893885402164 0.0180339328606423 0.0108907172234864 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0752289395370897 0.0196295053028484 0.00979079100818292 0.00394071399426101 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.078786669528538 0.0218794809209643 0.0180433650346418 0.0110394627364835 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0758268888145624 0.0196124521480841 0.00994089736195843 0.00374266692353672 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0778150845351037 0.0207096469103269 0.0181753868821854 0.0106593274234328 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0750572556960649 0.0197170582830176 0.00968800534074315 0.00384321678199641 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0790955166544478 0.0221186285894227 0.0195638060893767 0.0119966569983849 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0750689345631295 0.0191563675273644 0.00968538085705173 0.00360915842205272 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0792974998676344 0.0224314363226266 0.0195326002101576 0.0119232145899934 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0759476062776511 0.0196100470790331 0.0100254637665651 0.00366743090178952 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0870352537814157 0.0283785633363595 0.023391105939092 0.0156415287822947 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0779274019252524 0.0223458362217441 0.0103852166412261 0.00429638408962563 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0993967558115638 0.0306521241838647 0.0226793877416084 0.0143470302090459 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0818353620885928 0.0282011799525595 0.0100226369994531 0.00673043618014546 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.162395785225796 0.134772122595711 0.138129228499473 0.209275804337273 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0512080779118612 0.0187611473335427 0.00556473042869936 0.00172818980429811 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.162415477325661 0.134771979967647 0.138123597843023 0.209253221010179 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0511912907413525 0.0187242118292569 0.0055488708462806 0.0017249346970233 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.162449782842497 0.134782293388216 0.138114056001072 0.209236461952546 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0511862041289629 0.0187127311171121 0.00553458026675909 0.00172362805014796 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.162560834760745 0.134853129879465 0.138084060415649 0.209231743570973 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0509746853903066 0.0187588795648329 0.00543589341281301 0.00172817863214546 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.171140997904591 0.143425114172127 0.148090597267364 0.227542645212355 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0525375772901599 0.0199011752002695 0.00608191395584194 0.00182997688665645 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.175229819424615 0.14770703449415 0.151512592913077 0.234509140251131 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0541275865357695 0.0220468617122486 0.00643314443318933 0.00206140483804137 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.158999080545581 0.131318179906404 0.132323600332505 0.200066839685991 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0518339426016721 0.0190010368342801 0.00578128146281968 0.00178874468471416 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.159267962301125 0.13155586668291 0.132159109447076 0.2003923085921 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0514580998792126 0.0191689403995683 0.0057881484814037 0.00180401830044442 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.16023849976589 0.132568579259938 0.13172690746295 0.20135809845387 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0519167010334301 0.0200884158965709 0.00603287050919806 0.00190977418500888 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.174191925944018 0.144678622621343 0.137767624838075 0.21999864580492 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0554061774431799 0.0261786193416004 0.00580332137360954 0.00283947436892586 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.192963353503358 0.157795880016022 0.141460921189145 0.234587437025959 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0652960147771238 0.0346629149018184 0.00750227857947868 0.00453383170563198 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09902629447008 1.12523263880752 0.0504133722598583 5.17225056026534 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0310852855713418 0.0996717055931245 0.0087866795566185 0.0602210607261331 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0989487303248 1.1252079668386 0.0503331153194666 5.17204051867817 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0310960757630022 0.0997314426467812 0.00874561203952243 0.0602689457830285 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09884558003358 1.12518782852139 0.050250695160233 5.17187272390828 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0311099465336543 0.0997958505419276 0.00870487951542897 0.0603224478063827 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0985622644939 1.12515996385576 0.0500767707804596 5.17165357184472 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0311406628426962 0.0999321690110224 0.00862433213284074 0.0604431605208903 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09683655850469 1.12302405682636 0.0488967631147723 5.14870862982755 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.029255562648167 0.097516839015419 0.00585523266574253 0.0559755284981594 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09314483675517 1.12336513639665 0.0480279351235956 5.15203291546616 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293869892201015 0.0984680376640314 0.00578776502957578 0.0569626580049529 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09886578831239 1.12522824375103 0.0503615183081274 5.17225376432985 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0301771308105172 0.0981876190536774 0.00799301297465898 0.057806706602647 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09888735189522 1.12790987674414 0.0503253417242735 5.20051024219551 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0302292802559057 0.100088798194121 0.00785203896157167 0.0614414876032822 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09716179239428 1.12812682541431 0.0500847062161254 5.20264237051224 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0302980766275351 0.100084395584126 0.0075915010838222 0.0616104705482125 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.07989578100201 1.13083117524102 0.048393228019598 5.22879860004144 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0315717403556946 0.103190450402399 0.00705230649499964 0.0671789422321578 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04469377393825 1.14105233183201 0.045866183225442 5.33015237022178 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.033298334751956 0.113618529549728 0.00683544128673837 0.0830859089653252 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38153293284066 1.4283046341811 0.138098131297271 8.3775225857432 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0312024971782608 0.119357220429409 0.010082026334835 0.0725127575096876 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38152616844746 1.42827590895607 0.138196701674535 8.3771992228805 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0313766399614995 0.119366906535039 0.0101043924549718 0.0724816651511546 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38148219506254 1.42824619034383 0.138277923791872 8.37686616509714 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0311531296672686 0.11938225167589 0.0100451515868778 0.0724587346923347 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38129303044153 1.42818327184942 0.138407674816443 8.37616468664325 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.032106644217879 0.119440656359195 0.010419046684413 0.0724397930552675 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37918599636157 1.42788618011583 0.138374642620378 8.37290255440687 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0300441996370562 0.119857676086018 0.00922935288033884 0.0726572074573865 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37555021163332 1.42922774787344 0.137711582036147 8.39048566243318 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0273858891866396 0.121626417579011 0.00675394148433044 0.0750076114467267 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38163063056572 1.42825545532592 0.138208679678912 8.37695115191866 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0321604124323227 0.119783832735811 0.0104751725969394 0.0728490868553738 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38138054421484 1.42795227094251 0.138432416992398 8.37387422685163 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0300102874280997 0.120118786973108 0.00902941699338029 0.0731724802489841 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37987882846936 1.42778536961565 0.13791792285748 8.37202188387721 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0301711364728085 0.121173307871558 0.00893246354646006 0.0742263782566296 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.36166323976601 1.42987487331872 0.130586862299373 8.40223646066095 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293846916272387 0.129153983041841 0.00697603218089161 0.085401807289634 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.31821168976921 1.42049680336626 0.112233448306683 8.28398231050784 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0317808370654542 0.133323654036703 0.00735694128290681 0.0901876823188956 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18936218187345 1.17802956177837 0.756895427709374 6.36906579593697 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0336804483902416 0.059172881839256 0.00709801989848095 0.0153179309972573 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18937014537241 1.17801111428759 0.756875635090223 6.36879037909484 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.033183579101428 0.0591380661535236 0.00695371961627594 0.015296796780213 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18936803784531 1.17799127592954 0.756843606640398 6.36849754658881 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0338661470533024 0.0592676585760024 0.00745951128899862 0.0153435228301648 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18933564487654 1.17794697104757 0.756736987565542 6.36785438626521 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0343315094786431 0.059210157826235 0.00766811427444588 0.0153093788113926 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18699204220748 1.1756144515219 0.754059750146697 6.34231212347685 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0330266625695042 0.0587744338654642 0.00668999635255002 0.0150727898916739 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18582774957892 1.17526757581175 0.75218062465326 6.33762180178502 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0319354212580048 0.059463829643166 0.00569476138524735 0.015387677229979 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18929716083345 1.17807155086302 0.756988340547841 6.36941701273433 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0330605396188011 0.0592745330405605 0.00681926278137881 0.0153907133955798 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18912871720509 1.17809417472421 0.756941287611391 6.36953601534332 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0326602660908232 0.0593564036751625 0.00667417749744661 0.015451807605524 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18847325147004 1.17807936527867 0.756422877555054 6.36906234355668 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0320944819535309 0.0592672474282656 0.00624238942130073 0.0155083466854401 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18111910451498 1.17674911423786 0.749582202742704 6.3542257371763 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0342028112969401 0.0607359584365082 0.00584217085460259 0.0166935755117255 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.16816107270286 1.17551451463064 0.733791848425405 6.33837806969762 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0396240694842117 0.0641164571400481 0.00592455080435056 0.0191628586245119 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.22960543183511 0.105602710506006 0.186573595815893 0.155165254669774 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.183215365076234 0.0788437257642437 0.11190381448394 0.0610432603455602 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.229672224700826 0.105648048574865 0.186642259699263 0.155303811970313 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.183226458801938 0.0788326442070897 0.111905172469603 0.0610255044146559 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.229783738768979 0.105716974250556 0.186749238650052 0.15545682328608 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.183242995959896 0.0788199626268186 0.111910287955023 0.0610068385776514 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.230217732917249 0.106043992061488 0.187128428183911 0.155905954380849 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.183406162009455 0.0790104463065524 0.112039855239657 0.0611564753150965 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.239457490082986 0.111792865329668 0.200121737911915 0.16454231190902 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.183856162861423 0.080953396771537 0.112360732723906 0.0641282367848 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.25183354778172 0.118304890313979 0.222320593559444 0.178732448766878 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.190504837444267 0.0899840530347998 0.127549730080645 0.0827821884839598 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.229989500958831 0.106223891384391 0.18669294781124 0.15531235741401 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.182878606460611 0.0791122072493969 0.111547132237254 0.0614865303311043 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.231308332691061 0.107523567496808 0.187810820520397 0.155822099535927 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.182645555743064 0.0794584326621148 0.111272891014682 0.0619513067535162 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.235367264889466 0.111102215633894 0.193626340090231 0.157838211387547 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.187515866535181 0.0917177890637323 0.123765144267702 0.0868483963788992 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.275108514036367 0.128682490838296 0.248320678799554 0.166929900704294 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.202193406719805 0.112507573753304 0.136948447564958 0.115706235662309 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.345285325511922 0.146806953299589 0.410728641636143 0.1777638871367 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.228712198254673 0.148740996831431 0.189899971022379 0.181306093861841 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.35789505903312 0.375374046915007 0.164220724844147 0.814292921812198 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.166354925963678 0.118507372185233 0.0402827268923691 0.0809242413155589 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.362598173167865 0.379760490661065 0.166962141966929 0.828251247553518 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.167780901123536 0.118618796462465 0.042493247195939 0.0811225048580688 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.363810455861889 0.379721192761661 0.169517885348887 0.827512181885096 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.168733907027416 0.118606570359177 0.0432342952273975 0.0811948307021029 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.366595368308079 0.37920256495631 0.173057235348473 0.823071419568728 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.169036158678178 0.119480314495135 0.0440885515458933 0.0824775917067096 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.372766797315447 0.369678994233943 0.193294524163803 0.785204498164072 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.169313917464066 0.119867736168168 0.0441863814385298 0.0839868278225794 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.39615071920424 0.36271318498732 0.256686788356975 0.755973656897128 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.170166195054002 0.120781988456689 0.0433200876733954 0.085993764968874 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.359073625875025 0.376937293183095 0.166532437423099 0.819971264355865 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.166646529382529 0.118050128501318 0.0404703338463326 0.0802667069287019 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.361593026008606 0.375020745811992 0.173255696341992 0.811093742190933 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.16645133261201 0.117878096413066 0.0403074467676951 0.0799698643408795 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.369227278739032 0.366952380225212 0.198570751361392 0.779701188189599 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.164217334393667 0.11960875053848 0.0388151628874975 0.0816567382303826 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.461799683213007 0.365007059246906 0.446346663006567 0.741381151211208 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.179578875250688 0.125601460511567 0.0502887392933884 0.0920392632287232 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.525295782486536 0.377135221547237 0.60710410024339 0.763042708260996 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.192992138424672 0.134827265380823 0.062923562057549 0.112059403793741 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24594996154732 1.39849508270412 0.265362400954739 8.91814460532615 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111549540341609 0.340745160463076 0.039318283970968 1.05223914080569 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24644706478708 1.39859286192146 0.265591530241098 8.91874857335707 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111538031435532 0.340748644335333 0.0393001332534235 1.05247610596859 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24689042894986 1.39872409507834 0.265911513678225 8.91978005543277 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111528597960164 0.340764023547347 0.0392809976136018 1.05276144274497 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24763287408481 1.39908612654076 0.266884152621005 8.92315115966271 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114075607093218 0.342576028658677 0.0452944550490641 1.07149319142212 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24803548115368 1.40194310321891 0.275672184761552 8.95627264992014 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120622767122632 0.34300882000149 0.0656161583922419 1.07569596328873 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24426748851455 1.40635036954901 0.288963087342822 9.01481984686004 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.120580778981971 0.34389420273809 0.064867724046045 1.08258173946593 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24287344279573 1.39776907006969 0.264634086538633 8.91013371394617 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.11172721515467 0.340735780726718 0.0395173661674594 1.05150315329205 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.23821040288579 1.3971110878144 0.266558994473208 8.90241143259012 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114518873496498 0.342617478490987 0.046070237819267 1.06948547976537 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.23078377020116 1.4053120076174 0.268018026988044 9.0318149520748 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.11588218001512 0.3520181909075 0.0468643547480216 1.12088229612687 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18838363182643 1.42057363627107 0.374424432677336 9.22962580597066 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.134947697273294 0.375199449678722 0.0965389381237368 1.21505642716259 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.13107327460201 1.43899309522103 0.437298408546298 9.48779611307595 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.17770850772537 0.399788034845117 0.230437326440296 1.38456043819919 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.118115565236149 0.114190173186492 0.0356830104403051 0.0833917139505622 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0606940490762854 0.056330343108674 0.018494459219084 0.0408146507899129 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.11813791520992 0.114051891146114 0.0356622671410456 0.0831321491549022 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0605114736218707 0.0563339778864501 0.0184146098914138 0.0408593847435835 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.117645094086478 0.11347376348296 0.0354315067513623 0.0824106331816834 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0604980468730482 0.0563398280210939 0.018405382771988 0.040903348155445 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.119450751216205 0.115056003444924 0.0362892069939966 0.084395595764383 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0614010558772528 0.0564346384777179 0.0188173349750219 0.0410005094077909 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.120649231743096 0.115374983299028 0.0365985164913357 0.0845314803594881 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0615880253647978 0.0564765879897091 0.0188630434851018 0.0412698564714559 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.124276321619763 0.117458845042287 0.0372181441584474 0.0871299394621699 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.062136398456948 0.0571223177921549 0.0191814024477055 0.0417040073282614 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.119872127576259 0.115527663506034 0.035963429301935 0.0847094793978648 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0611627085837651 0.0563219099126931 0.018769351889397 0.0408327320402518 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.120570558041265 0.115741167729396 0.0359163777390418 0.0846681776412697 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0607400433921731 0.0565870860622548 0.0184663829251692 0.0409013544416916 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.123143864164828 0.116735135239786 0.0365668939658981 0.0857016099694349 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0611873451507956 0.0565983123152445 0.0186278651497337 0.0408523585490691 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139734437519848 0.121609864908666 0.0440033237320898 0.0908872838594362 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0680783866871514 0.06186650080216 0.0221898645725101 0.0434089615695951 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161174951164783 0.12686541200682 0.0487375422873208 0.0958647537866794 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0813720403783593 0.0708149407292728 0.0277890379280351 0.0494327364212744 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.339824205444594 0.365528500723261 0.287637162028324 0.8945110859011 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0542769474102874 0.0790105825482114 0.0286946507445677 0.0521046300908063 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.339853286247059 0.365490513794525 0.287983183183829 0.894527404985553 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0539570483765817 0.0790829439369399 0.0285453976758277 0.0521478429736745 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.340327822123416 0.365973783972919 0.287983849625211 0.895924669468977 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0540165055331995 0.0790245124767998 0.0285605099680786 0.0521209711590153 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.340300178163141 0.365803009722529 0.288399660637253 0.895916109007055 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0538882958263693 0.0789606515449653 0.0284462538087721 0.0521279206570951 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.346954346215865 0.363721651166982 0.294775276666877 0.886206039384992 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0563136334467112 0.0796708652922633 0.0302167375898125 0.0530235546277277 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.350368338683525 0.363658960809359 0.296644737002119 0.884717628526445 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0595119761412515 0.0818133074801211 0.033416796804102 0.0551235519772282 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.343851900929974 0.36930337653108 0.290182348278855 0.909040240643133 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0540576949636723 0.0792354656897766 0.0285913322886217 0.052184551167077 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.344542202430591 0.369727892079586 0.289941027426611 0.909925022534076 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0540477940708141 0.079617111464425 0.0285804547936035 0.0523268930198541 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.346552863718301 0.371792911677459 0.29005883217407 0.916008573585125 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0570099867648932 0.0795120863187533 0.0311062530686245 0.0523346526396931 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.3504684187935 0.368734111208495 0.295239077420746 0.893460949741098 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0608528705245092 0.0817133495233655 0.0310115619502243 0.0542801711265486 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.358462264705793 0.367354408103546 0.283230928967347 0.864964413148407 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0665198151589848 0.0916164965782791 0.0275939823924024 0.0640058744192612 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.168169050624225 0.0799247655734385 0.0775618330378754 0.0726509436586703 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126003157989579 0.0346947737071009 0.031596521294713 0.0112981210868271 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.167468197800374 0.0793063277996127 0.0771712053978645 0.0720380515334805 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126050341648906 0.0350884182345102 0.0315842516749507 0.0115112488670436 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.165696123340986 0.0769940225413245 0.0755076666133222 0.0687159748716829 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12613493117456 0.0356230221620058 0.0316114507901488 0.0116434377359117 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.166835687857293 0.0770367466228861 0.0760103342488443 0.0684034119447966 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.129045158833085 0.037524106343504 0.034180787406678 0.0141570649768044 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.171984497201323 0.0780482594656613 0.0799252827712335 0.0681298749341934 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.129531114128768 0.0377252855410537 0.0342976183002882 0.0137074530047264 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.180195869126343 0.0796195577373493 0.0854332876543475 0.0686760783163132 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.13093269423919 0.0403596099476309 0.0302940501155108 0.0151420648495048 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.168651741843551 0.0793847039914433 0.076522014669483 0.0711440885953085 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.125541976960592 0.0350158266992359 0.0313789508370086 0.0114453842641192 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.171123021086201 0.0814154123214635 0.0768911241714107 0.0727825703406608 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.125751327721342 0.0361414164609959 0.0320702599649812 0.0128418242782588 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.176884671192909 0.0844344482474323 0.0797731107481535 0.0751615125440174 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.129767430502731 0.039232665750922 0.0351072038651981 0.0147741616818806 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.189993552427641 0.0814623913630389 0.0843887971814808 0.0662387953940722 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.131522099765637 0.0445380278952124 0.030333829950961 0.0170056558054757 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.223581179683389 0.0866038172344118 0.0939524103056426 0.0654628185533982 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.146070056319481 0.0554654357737133 0.0368472928345305 0.0254809866808288 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.187315869924775 0.157736702963687 0.134219695947843 0.23331914570226 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0751501613073701 0.0383709033470056 0.0118380528302086 0.00899605576669685 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.185879204008741 0.156674652439259 0.133713135582348 0.231470119717027 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0750978544931052 0.0381989133166087 0.0118442996335179 0.00895125800200593 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.185519598241808 0.156570214309692 0.133731645642449 0.231289968084187 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0750658101047419 0.0380952906487977 0.0118539897060918 0.00892093506857477 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.185020286848635 0.156430988017869 0.133774200240999 0.231007928357774 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0750591367785773 0.0377763765382541 0.0118822020589339 0.00885335155991531 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.185762789940126 0.156465704259808 0.136468365263034 0.232447854735299 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0760440910486073 0.0380016178525536 0.0121517871805257 0.00914902278645986 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.205605285881442 0.16929680939273 0.166503216513575 0.269055972713818 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0777730321799115 0.0385332361420621 0.0130380476388478 0.00916195028177703 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.18522405211684 0.155136814289345 0.13096190271487 0.22825370300239 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0752178904510843 0.0379069891389076 0.0120197067872754 0.00876351846375153 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.187878293943244 0.156894288527044 0.137207377595769 0.236969696183558 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.075237839025113 0.0382413899462678 0.0121281289751031 0.00898807010622407 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.198718342639851 0.164567732847105 0.156741266819067 0.262690226163892 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0763170267630466 0.0399199678178463 0.0125039931960025 0.0108460587587319 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225662829876202 0.174698953446719 0.180704224571201 0.268502872057905 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0925022287661628 0.0456480604576597 0.0262908507340542 0.0147122635484024 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.290448448897187 0.216110020777821 0.272380770926636 0.365050200481579 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.11006668965008 0.0556932711257508 0.0417356256790373 0.0210767634192704 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17906918768762 1.43074964801472 0.0953696314880792 8.77154636326282 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.118863613046053 0.349279962021783 0.175137528140621 0.875353019925926 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1775757570402 1.43053588879528 0.0969099772158045 8.76866563214727 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121145998134874 0.35071311332734 0.180637092804335 0.882717448817817 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17712882458701 1.4312105583469 0.0987824890409835 8.77727667758967 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121169707831562 0.350584644653477 0.180805898407789 0.882172984340043 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17834461940008 1.43144017696594 0.114957064400261 8.77958595540188 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121214150585238 0.350345664085732 0.181136765929601 0.881200772884978 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17424384537235 1.43793576237969 0.17086602822495 8.85709564214268 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.130421353315192 0.352972398073116 0.206819287322092 0.893157890045267 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1695817195414 1.43862280912418 0.221039435532351 8.86183708993937 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.130455147540467 0.351494215792083 0.207568595689875 0.888566574095092 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17957815111577 1.43090457003647 0.0979857198273 8.77341861091103 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121106948289387 0.350750148067733 0.180202122849716 0.882226017819128 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17767610327011 1.43129091328577 0.101867045955159 8.77798193551881 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.122009416697491 0.350239398316674 0.182108011842611 0.879804534927614 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.16938324989172 1.43356943114468 0.112861414091484 8.80472598447755 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.131396348134589 0.357525827758937 0.203227494355183 0.91292982730013 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.13133648959376 1.44612145905357 0.189653551397114 8.96165447382999 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.136773110401927 0.368405336695569 0.212793370384689 0.94506604230343 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.06194858086238 1.46108724021331 0.241527272736789 9.1518422654612 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.153426937862885 0.393566983460307 0.248209306947405 1.05110082794229 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34318014833469 1.44670898668573 0.135672755739772 8.74412866929732 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0339643627084976 0.19489326370467 0.00682393565805989 0.255595479691172 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34282883709391 1.44670285100825 0.135593287574125 8.74400250089793 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034936668745596 0.194853365957385 0.00749981304854932 0.255522494588957 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34233331288138 1.44672049217992 0.135577888886054 8.74415003789511 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0349426702155421 0.194808783731821 0.00751109447387844 0.255460335759816 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33861360030056 1.44458519391999 0.139175329752834 8.72216573319086 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0344661458565159 0.195447612057492 0.00702792565577837 0.256548719970732 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3390314548585 1.44318929356274 0.188206671033939 8.70524720483468 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0344227045029227 0.195480895513276 0.0071789084042271 0.260107782090379 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32615442290115 1.4419406337151 0.190187142786765 8.69250845781696 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.036553206001414 0.19982351610129 0.00873069509886823 0.273299009314747 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34240641095573 1.44557046200056 0.135530852488503 8.7293779092184 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0356087402774613 0.195041832608267 0.00807358556637008 0.255778661616841 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34098564412603 1.44602410953799 0.135662163403246 8.73467809377845 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0351091986003493 0.194562346058123 0.00755412934206155 0.255252221687757 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33281722601621 1.44391666118093 0.140145493463355 8.7137238855229 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0376723936721307 0.200914100657579 0.00917441093581233 0.270109167651781 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27998807634512 1.43257351826607 0.169559209431315 8.5899570152614 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0439092763326783 0.214346568469559 0.0127343016736268 0.308343138111002 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.19169506640648 1.42575060451816 0.197398698843174 8.52021758439977 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0745917476397395 0.267421139543839 0.0496280020372079 0.482970020575296 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.12124202847973 1.1393088639345 0.748056185033287 6.03019602406061 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0897834920568651 0.117470101404418 0.103873567947984 0.073370175365599 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.12086955404878 1.1394436688113 0.749122349529703 6.0318009447927 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.092706264993328 0.118519607242998 0.112337857830947 0.0757058030822094 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.12047860803437 1.13952647333647 0.750095327002946 6.03282145232877 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0925455528214832 0.118470204563121 0.112202001996368 0.0756726403776433 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11916271849668 1.13945965696312 0.75242915665941 6.0329818706047 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0925341507077991 0.118643954359416 0.111963721450553 0.075716225500351 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11251425889666 1.14068023514127 0.751838844297811 6.04296843716432 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.112160862170384 0.119820222955586 0.160615207883764 0.0812867172375202 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10193094225675 1.14267345777122 0.743054522071291 6.05450178656111 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121102776088359 0.127225267401933 0.179928091703452 0.106281516841351 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11737953246022 1.13713784151217 0.745679446100887 6.01296231549287 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.093219881549536 0.118196240636577 0.112477321777504 0.0755559005965551 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11526814331887 1.13736119752014 0.741689495350947 6.0131935551933 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0947677468834751 0.124895538746428 0.114017896925187 0.0959352310750509 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.11456258689822 1.14041784710269 0.735046249239357 6.03486346647091 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.101046490147444 0.126671261107171 0.13010211032637 0.100641674035304 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.09616526303656 1.13974540054102 0.717414290846023 6.02228475983992 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114625382375877 0.121546549488949 0.151552913283513 0.0893838587189802 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.06817768842726 1.13529938737451 0.699683121351466 5.97130462825122 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.123506061434021 0.125659912187686 0.158897966518007 0.0998361617268939 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181213595097685 0.134584539530434 0.273612370807529 0.345337247753339 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0632388584220103 0.0228532082713556 0.017615820555085 0.0123889509503473 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181195268216826 0.134600238362371 0.273586453958232 0.34534962532387 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0632213966941305 0.0228824424012486 0.0176216977343239 0.0123681846036366 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.18118501639435 0.134643742474974 0.273558954363167 0.345377676338629 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0632117454388923 0.0229327617749799 0.0176309239524414 0.0123519558456566 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.180946720836037 0.134528300224478 0.273151465191728 0.344787746181604 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0632866989664988 0.0230697580668069 0.0176642009647022 0.0122915867999747 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.184230855969276 0.138650619013928 0.275690104993345 0.350550267799019 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0651002573580634 0.0259737424424548 0.0180926608467894 0.0127227027367689 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.187490261755177 0.142732053526559 0.275229914917335 0.35241425212752 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0683763674350122 0.0304213496514716 0.0191538786236495 0.0135371087233165 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181212616092427 0.134963078908157 0.273469099649313 0.345570595922584 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0632998460766304 0.0231564636691283 0.0176375213363448 0.0126401164594536 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.181315767172848 0.135661550809374 0.272896075416274 0.345454340760338 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0635248389761554 0.0239400025993412 0.0176897233908158 0.0129492347218081 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.183785341180812 0.139427112011987 0.273790390091836 0.349338134415971 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0649673809610485 0.0267066917854297 0.0179650927064343 0.0136956917396583 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.197381201444343 0.155467508575691 0.270468111629538 0.356360938375121 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0770408094773868 0.0425297202795547 0.0210904916447542 0.0159347457610367 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.21947385413875 0.170817408625992 0.262328915574334 0.355553045341643 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0940475233496655 0.0598063668109212 0.025936459765475 0.019407362045543 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307458407452744 0.285352804563035 0.223008967614418 0.526381404196072 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0405252485344898 0.0383629412586917 0.0145576968568899 0.0190457241511114 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307755556794253 0.285574879625008 0.223160592391073 0.527011561120927 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0405058273799967 0.038223841297052 0.014515980200225 0.0187593719583323 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.307618005301172 0.285385346391077 0.223136308872569 0.526542878392073 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0411557875244516 0.0385035986491516 0.0151195596113495 0.0191863775244251 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308746540570288 0.286425499551626 0.223950521411537 0.529525082868884 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0415141396814676 0.0386238301688381 0.0153573921579361 0.0191804262641592 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309062977914031 0.28694959910938 0.22308061781975 0.52938035357517 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0421770701440457 0.0401700176878392 0.0149158115363135 0.0196089526698865 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.313489491511703 0.291434495737944 0.223543216063749 0.538566244358258 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0438272777427408 0.0430585091485537 0.0148927372554099 0.0205932962654907 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308322764406587 0.286097913983074 0.22382693883066 0.528455894298696 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0403592670458159 0.0385623002560389 0.0143916821377935 0.0191134083053325 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.308753229688827 0.286627982710463 0.224047514881904 0.529615420073905 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0404514704507489 0.0384347507738294 0.0142370147477244 0.0186483078403633 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309827933893333 0.288281922465205 0.224468188812483 0.532854933155597 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0421377266493532 0.0403102008610111 0.015034870196251 0.0199800527224057 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.310955070273198 0.290884001728739 0.214260467385602 0.525015728250669 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0471162535474703 0.0485867320659628 0.014068575370203 0.0204294793276324 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.322705146313741 0.301039288955768 0.205864238768594 0.537676881752742 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0580277199857779 0.0577484897118362 0.0151069284217324 0.0207654500554475 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42761812450356 1.45803242841055 0.536324820684646 9.36935906371458 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0397555309945234 0.133568911715754 0.00916353710209552 0.147880964082782 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42760545869025 1.45803206633931 0.536230200383526 9.36935879241744 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0397807927660479 0.133569345537002 0.0091777854827176 0.147893113401857 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42755522793182 1.45803784725666 0.536102959718386 9.36943280288398 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398340702262413 0.13357932124334 0.0091936380728788 0.147921211057343 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.427629556697 1.45791425050981 0.535561884697372 9.36813577291759 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398857756176667 0.133389379389209 0.00911047139223495 0.147561283295761 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42504477269859 1.45806540942328 0.533008023714528 9.37005464391099 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0406662197739934 0.13399773051106 0.00672094929492704 0.148599470827079 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42025030254654 1.45803518813376 0.528002145088827 9.36865574436478 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0424896245302916 0.134960514918833 0.00682946320116987 0.149855389583353 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.4276417133493 1.45824728977931 0.536534584086079 9.37309356966288 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398585658846383 0.133542763965136 0.00919476778278502 0.148059583015034 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42736377333421 1.45851096542098 0.535918129931427 9.37629772042182 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0401244496189626 0.133566541330657 0.00918672227260023 0.148094576066615 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42554186103438 1.45981491709493 0.533599163500694 9.39432437783259 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0412967604366342 0.134440353819666 0.00925276698572347 0.150388693856454 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39968364691774 1.46074522602829 0.509267826777266 9.39924626433577 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0488527935075383 0.137883309325688 0.0102525968910576 0.154597959504231 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34969685425598 1.46565692722055 0.46833116314119 9.45097593949004 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0567528104380259 0.145981956802367 0.00904747758397041 0.170099283301756 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.154526172903521 0.151088358620889 0.0831836641406846 0.173845671217998 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198043091835172 0.01851797256402 0.00901752377217793 0.00945188252730549 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.154605442319266 0.151175709886191 0.0832493291977961 0.173980375120352 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198292726936505 0.018569326458702 0.00901222616785872 0.00946979992053824 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.15442972404097 0.150962489792795 0.083043530720066 0.173290101906992 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0195634971387927 0.0185266031789799 0.00855958551119699 0.00941115794496774 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.154826314554413 0.151478359558097 0.0831649125543133 0.173826624743096 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0194377818630106 0.0187142351736005 0.00815122599593088 0.0093893463320869 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157546425011318 0.154222384747339 0.083674325562724 0.176475698203174 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0221353804354163 0.0200042947518283 0.00929269533054495 0.00819032149030707 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.160619819790309 0.156845469243226 0.0838721579880115 0.178650073530719 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0257184656479453 0.0226656725672858 0.0101590516373613 0.00852647026971694 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.154831806577349 0.151749504728272 0.0833005317656939 0.174555732940073 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201517822822586 0.0180884509142453 0.009470939497942 0.00825337635257061 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.155072955415095 0.152360749233699 0.0832634115699657 0.174845627448577 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0212259409080226 0.0187777709654449 0.0103495066577299 0.00834072336960971 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.156510070107584 0.154095201557541 0.0832442531360052 0.175842618882689 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0232869489894665 0.0213069404259492 0.0106385249006108 0.00980758327787933 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.165557620374216 0.162853611055807 0.082959187456256 0.182051400824572 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0345778104368969 0.0319359726421577 0.0121436773577025 0.0130499482875447 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.173848089024934 0.170939926530366 0.0816252478393098 0.187104674024028 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0460765954912218 0.0430082250126106 0.0136868511715231 0.0149462184515774 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.421981401190801 0.421702582883099 0.558774547393761 1.30352660521512 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022756082719585 0.0314364931908704 0.0150411534316587 0.0189873065089757 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.422207111352818 0.421925375510441 0.558864909624985 1.30434004948006 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226401357888766 0.0312508558148113 0.015031528086727 0.0188387208762072 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.421889229729069 0.421671705224688 0.558716893521777 1.30321544968944 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226701342280335 0.0311933587738624 0.0150760462852875 0.018367364870652 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.421870871428113 0.421847033722702 0.558437742153323 1.3030816926529 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228152393365182 0.0313317226039545 0.0151718657080927 0.0182651389871737 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.423595939769691 0.424160223087012 0.557202932232238 1.30697862756553 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0249188453045162 0.0333440650466783 0.0158016228429838 0.0183873554619697 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.425794602744241 0.426884820627669 0.555698912871168 1.31187999410954 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0280018562742122 0.0361288004063567 0.0165552830414015 0.0188133973006327 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.421629784843133 0.421434627876131 0.558696711694432 1.30177901610952 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0233112586654179 0.0311819092797776 0.015303157730136 0.0182076283470129 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.422585894814432 0.42262001327187 0.558835332344086 1.30460167698574 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0241056895348069 0.032183730511852 0.0155369597498798 0.0184877368389677 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.42433942961441 0.424330734885947 0.558959236529192 1.30462697259488 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0262569903613186 0.0337679761560479 0.0159161955373422 0.0177767116865106 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.430023276394423 0.43237434361876 0.552974138104547 1.31299427955785 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.040134390692633 0.0453939653083752 0.0225476040452069 0.0202151009084736 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.434503441465939 0.439171387447717 0.535989928429678 1.30964559186615 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0500832515359952 0.0571375935219995 0.0176611538337807 0.0229748316573041 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.140025276169469 0.118707112628613 0.103849421081941 0.153496885013217 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0378057372870568 0.0267557806061853 0.00489284215167428 0.023531451688104 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.140205070717377 0.118949314497325 0.103989728896848 0.153921205506254 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377609362779789 0.0267243987336552 0.00489122736663265 0.0235289695386045 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.140442428318323 0.119233991243869 0.104103350693801 0.154328015663282 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037757398564624 0.0277310180807138 0.00489770315381883 0.0257493899637036 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.14067990220659 0.119581342172124 0.104201508665362 0.154808671419698 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377497327028893 0.027695282587339 0.0049074482922055 0.0257431122963515 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.140694100082111 0.120042817016307 0.103595940082753 0.154701496583052 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0380336669004779 0.0280065388640264 0.00497087313534081 0.024018806933022 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142074255352937 0.121223518095889 0.103296312335681 0.15541735941888 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0388771645216337 0.0287394472343107 0.00522657159901184 0.0216495765179705 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139608056575475 0.118314766698314 0.103375460198692 0.152816162536108 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0376773874271588 0.0272646518325202 0.0048676669547406 0.0254673523274185 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139580937856464 0.118484372560255 0.10317951308121 0.152991347527474 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0376514277273316 0.0272030368633754 0.0048676312888454 0.0236908129957461 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139660196581329 0.118657191797163 0.102565280844702 0.152713346128443 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0381323357129374 0.0271116051863707 0.0049696306907253 0.0222217594849079 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145867905894641 0.11996519498179 0.0968838385658038 0.148197732550906 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0438967219846878 0.0294162192543464 0.00569578846890652 0.015192879717368 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.167532801456831 0.124933233812434 0.0902628207466492 0.146152669000754 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0564358519672688 0.0354034389641518 0.00789231717132078 0.0107549462043374 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.25634636151739 0.246000367806744 0.284424097934187 0.522563007774514 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0304668676153549 0.0149314791840053 0.0118822683833877 0.00201613550017559 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.256650718219546 0.246306683970489 0.284698841663417 0.52334266075186 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.030504079437221 0.0150513369552741 0.0119231308155064 0.0020586124757161 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.256151916248993 0.245825874645718 0.283520519553113 0.521096961363082 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.030604746591345 0.0152121636548441 0.0119718965568687 0.00210482028664702 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.255664994757515 0.24531524641896 0.282647151960925 0.518645577719168 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0308077435075362 0.0156391505659678 0.0119340492311977 0.00215535096061815 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.259168210716774 0.248675434212626 0.282702574282446 0.522409498817333 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0338461616715984 0.0187349613528829 0.0120656815151527 0.00262839079654357 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.262284624770518 0.250934152960735 0.281983174550218 0.522801300880348 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0390891922632007 0.022232721231282 0.0140429736690051 0.00289500720008474 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.255528341530197 0.245155999546916 0.281605139542666 0.517823158552626 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0307738754938997 0.0155524700564727 0.0118738764648829 0.00210711235199489 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.257878490707784 0.247386128016602 0.283924970355821 0.52357615604584 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0318276213012511 0.0167873450170738 0.0117892684965936 0.00228575167993434 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.259119544290555 0.248126833934346 0.281188772643607 0.519854952855714 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0355484178141966 0.0204912029950782 0.012383251943518 0.0030041141810228 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.275815969004836 0.259414213395261 0.278327240771981 0.527503557958715 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0554312875593495 0.0353211285922051 0.0177765920725305 0.00500675450909384 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.297028396087881 0.271133870409425 0.272774852532955 0.533550246405027 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0756710803937279 0.0520257191621687 0.0226555918783337 0.00959375622762856 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39595051963993 1.44582765198699 0.477352085345818 9.04848280633344 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.020904773317474 0.096404303728933 0.0158191603249062 0.0750902245655551 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39595109046001 1.44582676824647 0.47729698759658 9.04848636585741 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.021309080018405 0.0966881283046976 0.0165083559972396 0.07563032585874 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39593204807755 1.44582834278308 0.477219831421185 9.04852244403556 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0207756022697892 0.0958437294678609 0.0156701082853421 0.0738235430400143 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3958396566835 1.44583859369682 0.477002160728104 9.0486890901718 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.021101821972772 0.0960295933941038 0.0157401203113022 0.0739903070593173 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39494423229532 1.44643633558581 0.475422217529775 9.05669857297021 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0232718758111466 0.0979085601611032 0.0155368735005135 0.0752429431187861 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39220750211431 1.44587681433116 0.472272786167963 9.049608211516 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0271341165697261 0.100617507924647 0.0169243202695067 0.0772683090942258 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39603241025335 1.44630506036628 0.47729345033205 9.05474604158827 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0211787364321989 0.0963558468917945 0.0157755726149295 0.0748058409273351 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39567143860487 1.44635141206617 0.476864532107897 9.05533695968212 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218583146580544 0.0964643889063219 0.0157865787011591 0.0744659842506524 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.39405984697696 1.44606141346618 0.475082456278536 9.05147921130491 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0242816029342014 0.0978357484545998 0.0162164598232967 0.0748109597743185 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37987565587023 1.44746127602985 0.458275967549719 9.07018327219918 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0381174796759489 0.110904683292535 0.0199744985678335 0.0849734469165147 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.35212041675816 1.45002420524235 0.426767615937036 9.10520510497271 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0539832321668436 0.128526970230334 0.0276233405896956 0.103659493279365 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74092253260241 1.81471477794155 1.07831664088828 14.6628841101856 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0145707196612242 0.114118105546 0.00395957525102162 0.121116440006019 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74090818537179 1.81471237780325 1.07827361541955 14.6628722298416 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146170182730175 0.114167931113308 0.00396372147684123 0.121176147079767 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74093626124707 1.81477619807909 1.07796030859011 14.6635996225837 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146427076217944 0.114247566534622 0.00393266883565151 0.121255729215916 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74080798328659 1.81469090199558 1.07784965414402 14.6627748759428 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0147576389642896 0.114378700134514 0.00386813711056799 0.121344738027219 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73848392647611 1.81363686200923 1.07597720350781 14.6494423732477 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0171488238177813 0.115898000297233 0.00403062953050528 0.122504267305512 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73483122804654 1.8130602894293 1.06874955315705 14.6418189817561 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0207261161207838 0.118461435394288 0.00448973776188394 0.124957165878436 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74055649758158 1.81444379894249 1.07849190125433 14.6594239059554 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0149767463662153 0.114358001499113 0.00397008581291914 0.121314974005471 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73986828726511 1.81403189856979 1.07839630926807 14.654518501136 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0158209501156534 0.114813459570982 0.00396706783525978 0.12161814099211 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73884022175038 1.81459110407912 1.07301315258995 14.6612616643986 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0183806438662903 0.116718489557945 0.00428053456381359 0.123137458458576 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7233122812724 1.81684560182453 1.03198699560311 14.7000721774191 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0295757719510338 0.130439413659197 0.0054457868494 0.138519293251056 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.68905543227158 1.81576355304225 0.958650561744175 14.6966739864675 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428315536900369 0.148434455125068 0.00886109975220113 0.164104388275961 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.2679390065663 1.26750735913895 1.05299582554835 7.52535527638037 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019286748102782 0.0397095416315213 0.00852655318454087 0.00986850634486314 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26851834130633 1.26806316109733 1.05205055835415 7.53000124213182 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019208029143965 0.0396888824577869 0.00849368050519257 0.00985940457104955 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26846547053705 1.26799884835626 1.05217355854282 7.52939065227818 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0193545414901331 0.0396673478727602 0.00855083952897871 0.00984751140420559 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26894302899281 1.2684396841449 1.05125633840896 7.53282395725945 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198003892857345 0.0396478996301712 0.00862457606989381 0.00983979340794118 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27056299911706 1.27014820576313 1.04729573367592 7.54575400963394 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0233511833522701 0.0401530540842272 0.00930470166505413 0.00985122395448947 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27057670614038 1.27064092633901 1.04365011154886 7.54716133554266 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0271897290281002 0.0417996044076381 0.00960494455057646 0.0104074061745852 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26852650149789 1.26811611034444 1.05205154679997 7.53013866646955 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198806913081788 0.0398981333032461 0.00855454122505325 0.00991824259972989 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26874432156 1.26838405044427 1.05139028187153 7.53161304891232 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205004639842177 0.039872215362567 0.00830693543670961 0.00988729280735592 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26828839867319 1.26838550170951 1.05065168613301 7.53008936445062 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0233312046465283 0.0411712474174634 0.00848538504235167 0.0104961787383204 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.25991802650014 1.26358625961969 1.04391969749359 7.4748090376739 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0384586685145197 0.0480834557151257 0.0113407671603738 0.0124435543177049 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24800308509991 1.26007562057709 1.01954825943661 7.42446952819562 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0554975174385686 0.0593444242111457 0.0160123724395504 0.0166383613837997 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143050197364522 0.101117348347302 0.219655109132494 0.258802496390518 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0556568793055938 0.0190825433329759 0.0146931704424179 0.0115843016117332 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143101987578174 0.101149409258236 0.219693981235466 0.258858386816876 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0557039116137501 0.0191030217948552 0.0146987982030367 0.011589825455727 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143164335596485 0.101251890093744 0.219734298820401 0.258943862679088 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.05576016135588 0.0191840401873029 0.0147087937851394 0.0116023487552425 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143371763841697 0.101699569797553 0.219819795083679 0.259216425118882 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.055955194573023 0.0195772494221738 0.014743698205878 0.0116510056740693 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146164178421545 0.106255370330818 0.220179181032791 0.261082949533724 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0583951537355354 0.0236502010346172 0.0151424701029435 0.0116163178554463 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.150622264017995 0.112185575066077 0.221188018900566 0.264177711611223 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0618924882903287 0.0297462704761988 0.0147175519787622 0.0131080127565721 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142820099289304 0.101088108266287 0.219113820527488 0.258305476533548 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0558312920048166 0.0194726836666485 0.0147113484023396 0.0118040566913873 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143451234094101 0.102502637936903 0.219295035147996 0.259264371161078 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0559564670066112 0.0206509827909287 0.0136303457987881 0.0118051050997297 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145277396570063 0.106244633447937 0.21774190591406 0.259125062197524 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0583548266912484 0.0251179312822389 0.0139832224497055 0.012328835814243 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.163982318907249 0.128238344912528 0.219282388547933 0.271083225050454 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0750636221692594 0.0473637776626733 0.0174162713397363 0.0162779956142295 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.1913390253073 0.150236288684081 0.220994264343244 0.281138172391512 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.096011795940491 0.0697665221868889 0.0236006785976189 0.0217839255081582 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246235633543905 0.227706711999369 0.17934685373526 0.368525821404866 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0406170492543047 0.0285992853400985 0.0137190433635072 0.00866960295054893 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.247003436047392 0.228507670974556 0.179791891928442 0.370402235686456 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.040737299187858 0.0286844750297368 0.0138012460249881 0.00869283943379355 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.24595962386292 0.227567361662464 0.178774761317899 0.367719440339576 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0405751878519171 0.0288854721365774 0.0137416439287075 0.00880145185453136 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.245351465293215 0.227245806165147 0.177590578730799 0.36607647756798 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409134992625267 0.0294345475480477 0.0141240354168233 0.00925235931791018 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.247614013821157 0.229882504346079 0.177613203021934 0.370346100118903 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428657861443651 0.0305509664252558 0.0149036340327667 0.00951984382019993 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246760504210725 0.229512290556006 0.173177105472055 0.364187176035961 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0447616027002266 0.0326281637556858 0.0152972872553721 0.0094432960415123 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246992566156141 0.228560771841763 0.180127787888549 0.371053370663707 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407501657680341 0.0288369831189579 0.0136886690950483 0.00869405329181652 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.249661203220323 0.23138268922746 0.182232130532374 0.378414074855715 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.041327481076775 0.0290170731607167 0.0141871348236055 0.00880124119830535 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.250452475922831 0.232441232967194 0.180798321056386 0.378697752585953 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0429378422120194 0.0306879020810756 0.0152398105317488 0.00938396264503327 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.262127380546659 0.243037348646287 0.178886038055915 0.392546940907049 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0520511994331886 0.0399276095300014 0.0170186937559467 0.0107416205790341 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.278499781878203 0.253064155401229 0.173321223954073 0.400118264909823 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0636034900088497 0.0515659660037338 0.018560542600305 0.0134246942680915 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54519483228275 1.58401498898042 0.650070704406977 11.0765633448972 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0294946058151305 0.128458817909491 0.00401190885663266 0.144439545359554 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.5451909997225 1.58399963699535 0.650161737516538 11.0763516173439 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0295308401412601 0.128402535127915 0.0040088977412855 0.14437626123372 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54513978937555 1.5844035254649 0.650061127038026 11.0819184788107 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0296665915706114 0.128724498952054 0.00401756325170169 0.145190475612733 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54530065424155 1.58499492587411 0.650288550647895 11.0906412289172 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0300146837648491 0.128976825966475 0.00402335491278101 0.145755045732884 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54355516175568 1.58538072591904 0.648705402405913 11.0968748920937 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0325112996725289 0.130182464088555 0.00414424078136448 0.14741430777805 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54014786652678 1.58581694872339 0.645076136374761 11.1030954869859 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0355843615543137 0.132705791680699 0.00436732206410861 0.149439508972792 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54492211463252 1.58353995813285 0.65011772141701 11.0697236240119 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.029836597950688 0.128235536662179 0.00403089003283707 0.143896009185272 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54490942808487 1.58422740299129 0.650106658000275 11.0797309017272 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0305966052420397 0.128729704106629 0.00407367686645937 0.14459958415324 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.54337513412988 1.58454331659153 0.648522525573289 11.084277644868 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0326283245660925 0.129814540887834 0.00422551301643314 0.145390821591686 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.52480410681702 1.58817198330239 0.624921137001462 11.1332191315712 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0438399257688356 0.139598902552847 0.00573232984714356 0.155811618715618 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.48661981382503 1.59388455663425 0.578889155947254 11.2111739942147 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0567710769099587 0.152598855553838 0.00881752150373018 0.175297020887268 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.122588840020767 0.119715389966365 0.0654257216351634 0.12097429442325 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205228870941829 0.0156236473515456 0.0088242963708995 0.00556856800739853 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.122638970309651 0.119778384982197 0.0654346106328029 0.121014153150474 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205436030083418 0.0158934489350895 0.00882420416276127 0.00562115130996934 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.122805569206496 0.12004568246997 0.0655570332994093 0.12141812314883 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208251303771211 0.0156969172534632 0.0090788280097633 0.00530576158126163 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.122473059429923 0.119837634634259 0.0653799196181247 0.12086380223076 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0213432792131641 0.0163125915517234 0.0092033121911722 0.00550261417599761 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.124329407083402 0.121824096572295 0.0652144965707136 0.12152614002248 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0238522926349288 0.0191068069427308 0.00948649797876932 0.00633138620281561 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.126881183064653 0.124113080804807 0.0648680491557848 0.122154941408231 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0283501264645444 0.0228791573964949 0.0108934800811006 0.0077112346953765 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.122812635186138 0.120129549658175 0.0655487230241514 0.121416229788622 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0209655278069188 0.016362389983955 0.00892756620710485 0.00579059442561798 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.123310427325876 0.120780156070183 0.0655424484154212 0.121719557696361 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0215440197255789 0.0167923866397238 0.00899037331866965 0.00546904509090915 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.125400598942105 0.122888577434464 0.0657153968109915 0.123144446812292 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0240324178537967 0.0188388270623872 0.00964686959330066 0.00655641097736913 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.13452231809433 0.130663791204219 0.0654289652507647 0.126948682250694 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0363608203938883 0.0298565213559011 0.011779968330585 0.011305864665374 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145720609953706 0.139904160454067 0.0650486910712133 0.132535471157788 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0485295723208453 0.0397955101844046 0.0141203653842415 0.0109897142689481 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438818735176871 0.435849814102213 0.601672142744749 1.37355874408613 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.023593595434844 0.0251281278676226 0.0147660939990438 0.0116624457931239 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438818487423263 0.435841371712911 0.601687034186819 1.3734908038703 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0236308591944892 0.0251655595145989 0.0148082860822302 0.0116674826294494 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438788064856486 0.435826409782429 0.601717831728104 1.37335283071002 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0236632984468373 0.0252161468493923 0.0148327749926557 0.0116690479149631 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.439015481514159 0.436113753063522 0.601604009074314 1.37384980139122 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0244387021805872 0.0256817874204868 0.0158641040906131 0.0119043704103881 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.44045232527429 0.437618597942275 0.600256593343173 1.37515179426645 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0274985064354549 0.0280670346056278 0.0177772544107411 0.0124687962781858 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.442027365846937 0.439109059877197 0.598418362203052 1.37562275646953 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0299663820087799 0.0310080964085352 0.0170187262462563 0.0129277581341989 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438692177222849 0.435922337147086 0.601395736503704 1.37330256513486 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0241913613711467 0.0251513329371861 0.0150738802458248 0.0114669968486041 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438683902691863 0.436180242353876 0.601022023126399 1.37300068668501 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0246512228198499 0.02592023738083 0.0146634711047655 0.011552152991337 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.440198853156673 0.438206463378453 0.599436607777798 1.37614601474447 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0275695043912371 0.0285927900977435 0.0153435749497154 0.0122645650686146 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.447113605139313 0.447159976870653 0.587705165412534 1.38868682835766 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0399810148086912 0.0409470120487291 0.0171552737354295 0.0149784883596932 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.452740669295825 0.455001270680537 0.567527055853941 1.39654903426186 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0547506235376302 0.053686969787608 0.0230451050058266 0.0177664282246041 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0960969108776482 0.0808098055793504 0.0697962194706714 0.0908290894092201 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253600251746787 0.020427836731758 0.00376696173979819 0.0193360026852747 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0960945380980855 0.0808745628826113 0.0697816405650789 0.0908881387284881 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253938890427906 0.0203585873727341 0.00377431285035707 0.0193097116895655 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0961467194106094 0.0810192122670912 0.0697677249893656 0.0909892175441253 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253832619727879 0.0204850748188822 0.00377156004719738 0.0193638368618246 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.09650412363929 0.0816569308262302 0.0701302712023923 0.0917602230234556 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0254860696225158 0.0213224272008399 0.00379362380356687 0.0205160414101592 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0972260857432879 0.0837230248553923 0.0696399468015892 0.0922024401650551 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0267504461098674 0.0216021350013141 0.00399797859845199 0.0157926640492164 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0989780717054117 0.0861365230216202 0.068687139141691 0.0920336331949303 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0288830419373598 0.0248240875484457 0.00428608640464285 0.0168652983346559 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0962483677172337 0.0815067050541709 0.0698594130340061 0.0912752428543089 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253181398448955 0.0207089762801882 0.00376589126944315 0.0191710654987339 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0960170701134546 0.0822378071766814 0.0695622576121377 0.0912613415107943 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253180832529189 0.021777001269097 0.00373354383686724 0.0191138051345356 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0969732983962382 0.0848918399763133 0.0693583241382662 0.0920666805090098 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0267191421528893 0.024578130576523 0.00394285711262561 0.0190407216751076 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.107521379679862 0.0964181171275321 0.067362482512309 0.0943770372132479 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0381580351860287 0.0369899047631491 0.00549784693284507 0.0167840129458358 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.124001892060648 0.107209280050108 0.0656260535276026 0.0962722265586822 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0542371941208273 0.05247086195059 0.00903861101000342 0.0195360536740803 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.25746761052443 0.250751875267765 0.32071694774131 0.567823186448268 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0189491251187514 0.0125075130234114 0.00453152067697022 0.00172206640338104 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.257508064290141 0.250818328359719 0.320680041306059 0.567946527645597 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192500829313172 0.0123877661817458 0.00472220586182013 0.00162041325700606 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.257428572713973 0.250797437879972 0.319847138428249 0.566932757949326 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192908202969384 0.0125632432469838 0.00466077306673344 0.0016252218936237 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.256612671090079 0.250116654443815 0.317145563505663 0.562471227409698 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192363840372489 0.0133886662568268 0.00419972512473608 0.00175513451429053 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.260702376693695 0.254566633168165 0.317291871594263 0.568015623571239 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0236528677079393 0.0181049901931914 0.00466722618988998 0.00238847778661423 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.265043004589499 0.258975718750523 0.315173755430953 0.570766045125793 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0292561909921604 0.0234157787810284 0.0051562862991368 0.00280035895535868 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.258693920554508 0.252212338581533 0.322272231241168 0.571475559846938 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198410918870551 0.0132638505444658 0.00481258861652074 0.00173173330248521 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.258973821753671 0.252687546479809 0.32074279644082 0.569052148309322 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0214479347809653 0.0150505848673733 0.00507872562533388 0.00184461038464035 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.263654631306299 0.257408371309823 0.323348247394484 0.576748142909827 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259992790198058 0.0197410730565472 0.00582846473615915 0.00254080986082369 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.289365147737901 0.281409053709095 0.339702229427997 0.622842338967746 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0482613330647426 0.0403264731146221 0.0114079526149043 0.00563036819067602 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.316581399420157 0.304357014662753 0.351643059743155 0.662083832557022 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0699516306870768 0.06150682529901 0.0177985133397881 0.0113400845542667 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29535713685386 1.33083146105242 0.354531854383906 7.60443156907604 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0277104400604935 0.09157048286083 0.0234465465862341 0.0808591341139653 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.2951811226126 1.33073630335637 0.354721335677768 7.6033202448822 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0278909397382545 0.0912830222199201 0.0238497091702778 0.0803576184718792 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29515150198494 1.33074781256855 0.354853255377656 7.60342806371849 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0281027496997039 0.091480376355779 0.0239142232636991 0.0807166622740634 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29501991497068 1.33078155693759 0.355065360069807 7.60377069827723 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0279770277787073 0.091128291880382 0.0230390975138902 0.0797733888625183 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29374041680932 1.33121717691611 0.355120415315701 7.6085339740506 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0300886787857914 0.091480245886249 0.0238242751747551 0.0797872028736491 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29113996707008 1.33203011573651 0.353923802641134 7.6176243651261 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0327638903065968 0.0926360296807491 0.0237330292348208 0.0794158483685515 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29514710373732 1.33084952013342 0.354432845994084 7.60478238680637 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0277621833354415 0.0910926725817663 0.0232737670453455 0.0801168620483734 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29467882742218 1.3309086927583 0.354118949742874 7.60562090659777 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0281391596463756 0.0908053347257876 0.0231285624945942 0.0795323945358591 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29317253077318 1.33131192724823 0.352730491178927 7.61049702255678 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0290619157965577 0.0912923276790999 0.0219307539380328 0.0790580884184642 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27667264139651 1.33424650570039 0.339013566393798 7.64603711597121 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0385305267113398 0.0987556734495591 0.0223906489634276 0.0826305650572796 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24214507206333 1.33719028367805 0.313273610060188 7.68142978489501 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.04920508470952 0.111515540880647 0.0226777888927298 0.0928018433880924 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70446085804113 1.76854602184888 0.818690861347067 13.6312462576202 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0153248021401996 0.101205812694794 0.00593183738924809 0.0919872142443762 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70441374392898 1.76856320981669 0.818429208110518 13.6311961622076 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0158627728519289 0.101252793867 0.00632891910126777 0.0919972922626374 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70407008095278 1.76828999561335 0.818937443057747 13.6279945719005 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157996077444154 0.101359623703775 0.00624784241221031 0.0920708151025623 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70397477321922 1.76847148503182 0.818641124883659 13.630753464219 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0159333138047736 0.101532258940574 0.00611145296621682 0.0921807410479654 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70059848224897 1.76718731522765 0.816135783305431 13.6135036823133 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018775601479407 0.103436914914485 0.0064151911430035 0.0934298736794702 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69566538502201 1.7669450577873 0.808421718566097 13.61107382969 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0221567672711616 0.105951123151069 0.00696148553934363 0.0951081424632786 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70361784039275 1.76793730513273 0.819518730105836 13.6240264860405 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0152962605187123 0.101561013115744 0.00574449705896353 0.0923268032427628 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70307637589493 1.76802774058678 0.818527693385295 13.6256037652786 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0159074391933825 0.102212591058156 0.00579098434843305 0.0928998541869906 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70070961525722 1.76808711375465 0.814475424118963 13.6269051027989 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0179855245827805 0.104007571111792 0.00619098588402104 0.0944227595265213 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67512049703621 1.76703948373237 0.774006970784291 13.6150006606909 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0292483551220686 0.116006263532837 0.00874880428503262 0.106664607775715 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.62560775710298 1.76536033992999 0.701082537916061 13.5992925796518 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0404304454756253 0.134988480639721 0.011525483623305 0.131761976310114 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27611314043663 1.27306909938022 1.07903743495482 7.59183734662967 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156064087534501 0.0274417416672243 0.00715882211221029 0.00498974547073229 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27604152413007 1.27299864646025 1.07917685409123 7.59128367419529 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157408442892707 0.0274667128383575 0.00718531199962766 0.00499281043649539 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27598622990618 1.27294944098419 1.07928706431513 7.59085191381414 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160739708103217 0.02751837904417 0.00721146016520269 0.00501129239193098 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27636991770431 1.27334911987223 1.07854279160914 7.59407475439 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016209438342266 0.027958157352457 0.00672451495814694 0.00516039285013833 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27614297696835 1.27342178372003 1.0774723088233 7.59331606800037 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208817799351824 0.0298173531251159 0.00718220041333083 0.00535465820198206 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27518011112721 1.27292249422402 1.07568101734216 7.58663726040935 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.026005008023665 0.033588538757074 0.00737839307506035 0.00588141412059498 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27623864630594 1.27317762717049 1.0789214079711 7.59226431802074 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0165421738893081 0.0274898631162933 0.00724589823496486 0.00497689507967944 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27704072683997 1.2739802201707 1.0773476548384 7.5984145903557 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0179207850214891 0.0281696644976762 0.00723596064497136 0.00508441010668766 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27541277422518 1.27252799932969 1.07933405502729 7.58459679468863 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0210639749488502 0.0305191713515963 0.00689773593655604 0.00551925708250418 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26743414752016 1.2663680843371 1.07734964051387 7.52044057810574 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0403749577757667 0.0457685453711343 0.0100481819113781 0.0084217626089146 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.2547172797602 1.25938458658788 1.06390654604362 7.44367501497174 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0602965271866519 0.0638611734875028 0.0156311839596623 0.0136689177941589 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143718110496804 0.099599795601454 0.214904700604903 0.25131809253252 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.05868446764888 0.0198544009765176 0.0157314014676549 0.0117851283123085 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143740625009512 0.0996109234005218 0.214953074444646 0.25127870271308 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0587033088729564 0.0198767248370063 0.0157535021240921 0.0117739330417432 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143751268326438 0.0996984391204326 0.214953887683103 0.25123979036348 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0582580753186536 0.020031509253383 0.0146358701380866 0.0119119534291035 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143713487827766 0.0999621859279746 0.214825300602344 0.250748442513208 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.058215895409704 0.0203142559816046 0.0146170362310528 0.0119364606024133 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145832638299908 0.103464699801538 0.215924576217575 0.252593942485952 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0602003961558331 0.0236179497525976 0.0161516150918551 0.0125531358514102 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.150146432011889 0.108633834229239 0.217557419134757 0.255429390492718 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0630480005842413 0.0281777379872894 0.0158027141231751 0.012846171174789 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.144046397069543 0.0998113226170463 0.215198420890528 0.251254042894388 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0589155859897429 0.0201235841767765 0.015854703643774 0.01193649075296 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.144343390154735 0.100445208944736 0.214711705894446 0.250178490329538 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0592096536346175 0.020844590607487 0.0159205240976181 0.0118960694490481 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.14675864082461 0.103515514854833 0.215354167663391 0.251123728918207 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0613239485547227 0.0238527896400781 0.0164173966562648 0.0120382443718713 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.169998660445151 0.1238595684547 0.224356580440211 0.265482794825511 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0778264893489211 0.0409468676050177 0.0212965859563165 0.0147245941912331 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.204333428856241 0.144214173001478 0.233750728960506 0.278049400469341 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.099005518876059 0.0579605065795021 0.0278935522393199 0.0157942192221693 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246817949977845 0.229289552311508 0.180107894179635 0.37027891876063 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0402428203710552 0.0298424300406123 0.0132916947522436 0.00865127504447237 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246876117134138 0.229265964173868 0.180168209093929 0.370161445503488 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0404133485819805 0.0300479542432122 0.0134682342246911 0.00887459122896253 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246810113341591 0.229109722150906 0.179854419135489 0.369490138042366 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0404502995348943 0.0301010710240167 0.0134727100371869 0.00891452806473817 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.248041627898828 0.230150483314979 0.180991689860343 0.372290762992947 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0403303496373232 0.0302837166835103 0.0134097073229086 0.00905921418904251 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.252019926905087 0.233087524010764 0.183272619550298 0.378118876485438 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0433076519215877 0.0301883219097436 0.0139929724143556 0.00810661534094781 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.25805566163486 0.237850863213351 0.1849512001744 0.38652568358234 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0457230791842636 0.0320663092905276 0.0144761328104493 0.00839705502737533 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246916607352405 0.229443901767536 0.17987726189733 0.370422252157806 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0402334442152156 0.0299129588063818 0.0131685756387397 0.00880776863945607 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.246498241646974 0.229111861906263 0.17841827103599 0.368217465131147 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409617422024606 0.0301680143009445 0.0137384478387158 0.00875758992717629 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.249710406280133 0.232464498199356 0.178482977695204 0.373618632319511 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0424969795089746 0.0323591935323782 0.0141614578742591 0.00972997508514222 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.261675174882778 0.241544739479977 0.172108450729289 0.378537086073641 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0520643634072546 0.0399474718730155 0.0150623719246894 0.00965363372730972 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.289534405245742 0.260487891995169 0.174831589204654 0.409235133712114 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0656581185293615 0.0516739569723986 0.0186422632792022 0.0127602310150875 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.5359018191494 1.57014130896151 0.621004721681258 10.8677232611466 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0305278183025231 0.13195911693283 0.00399739659399715 0.147635243843095 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.5358633504282 1.57013821514656 0.62089167781158 10.867653520777 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0305410122028222 0.132032919175784 0.00400024927310739 0.147660109080427 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.53539215622542 1.56924137068945 0.620239709562225 10.8532972535038 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0306048553408026 0.131621854859152 0.00400585814278727 0.146269798205181 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.53539866320666 1.57011709323926 0.619913635633996 10.8669843250154 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0308735498709168 0.13234889775559 0.00402609528043879 0.148042162440125 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.53261958737406 1.56981223764245 0.616033981105485 10.8617717948289 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0328795961429039 0.133159304798922 0.00417245012778636 0.148333267998428 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.52767018243836 1.56988488992236 0.609589921883034 10.8617210740498 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0357351792648287 0.134978356321876 0.00443242285873661 0.149478432226157 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.5359107809379 1.57041037460719 0.62042145199308 10.8713184756395 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0307585403017283 0.132060708441551 0.00400753752965176 0.14799059082054 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.53477063530806 1.56970783830495 0.618894968570622 10.8605208061017 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.031606992915208 0.132002964650438 0.0041045131938623 0.147842710106468 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.53164536051266 1.56854932653862 0.615292386794734 10.8424731935851 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0337361798236647 0.132278039221258 0.00432786877293221 0.147299875299964 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.50678058911499 1.57308455572851 0.587672048181251 10.9084677409973 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0453330424423215 0.14329653995448 0.0064915039175144 0.165292327605495 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45658862001449 1.57630026098033 0.538490875765554 10.9404501117659 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0575906479569044 0.153827721940418 0.00972327466087692 0.179285642850545 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.121353950915902 0.117964505690993 0.0647273091203942 0.117570269011784 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0214344725243158 0.0180289722764767 0.00920407050332924 0.00748862119513354 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.121539314965492 0.118155824579282 0.0647952355797912 0.117816196257414 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0214695219428595 0.0180583351319315 0.00920672332753243 0.00748637844684272 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.121489237273572 0.118138965805214 0.0647667366990999 0.117758998383368 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0213517596528111 0.0181791066521419 0.00904575351664777 0.0074993518261152 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.12151220020692 0.118275206759143 0.0647081138829272 0.117723200532783 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0216035091282097 0.0194654448263223 0.0090801382888456 0.00926798219675145 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.12388267864967 0.120961617051009 0.0650207713048732 0.119952764608865 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234619748015512 0.0204973373035452 0.00945803295773785 0.00818549177159436 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.127182007529732 0.124013492920143 0.0652307825148796 0.122106707106968 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0261247825311679 0.0217669678401524 0.00931936669573017 0.00710312457318809 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.121674884767668 0.118343193088787 0.0650073888513239 0.118385039448442 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0214718528060007 0.0179122780648894 0.0091167467863462 0.00694591129472861 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.122262852010092 0.118966176883442 0.0650496193460245 0.118719936617601 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220418734008284 0.0182599712959822 0.00920745302355397 0.00617431294329152 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.124059708041512 0.120563799751168 0.0651633615593309 0.119589929717207 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0245190900731036 0.0198359561332807 0.0099269968161037 0.00677672449490735 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.135011598420266 0.129502903972191 0.0650750545638643 0.124905723221897 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0366811970921961 0.0294442858829944 0.0125422864524939 0.0085161769943869 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146750460572504 0.138063196531491 0.0639462317698139 0.129419857730731 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0470213942915793 0.0387061483355314 0.0135183242225835 0.00904110048040786 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.435540204597798 0.431628312533888 0.589098722042031 1.34519205936552 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0249659028653112 0.0287975914283932 0.0145511821642321 0.0146612363546239 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.434991547128738 0.430931733731827 0.588066845476972 1.34083877808463 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0247566439370984 0.0289935796665873 0.0144419259257568 0.0151223932902501 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.434785198810856 0.430778354957805 0.58804799090769 1.34027561739866 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0247500110513259 0.0290200500238406 0.0144093222044618 0.0151072159404659 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.435520281471898 0.431844483289852 0.58883080675108 1.34551380717305 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0248756572913602 0.0294938449967925 0.014364472673942 0.0153353428940393 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.436379380556167 0.433183936707561 0.586585743938332 1.3455270593189 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0270096934166036 0.0314821286830285 0.0155113738779909 0.0161176241467114 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438286423605801 0.435791364165879 0.583542900317101 1.35042588570625 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0297811043719229 0.0342253516278859 0.0155369867466569 0.0166934885449815 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.434651431889782 0.430992383305672 0.587941908689488 1.34082332098109 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0244774263740006 0.0285363569230769 0.0142705703560755 0.0143759471241129 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.435024627526768 0.431829349808885 0.587170362040281 1.34262820854504 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0246910084954167 0.0285197360614837 0.0143082295044582 0.0138944063182863 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.436561937714033 0.434348976955598 0.586340561670122 1.34984315344851 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0269671500012686 0.0308527672007604 0.0150318571411871 0.0154346600467877 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.44024400456262 0.440527812436525 0.570625860353786 1.35312562099945 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0368373178156061 0.0398150143714209 0.0168397373205102 0.0165804344791377 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.444326623142146 0.44670974274949 0.542785820286704 1.35322049267798 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0479984144883443 0.0475416495663445 0.0178600107042915 0.0164235912028637 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0933969059885466 0.0780815619385509 0.0670096196812101 0.0859092060838238 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259780169825713 0.0208084737980872 0.00288339299807054 0.0176411129591681 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0931836953529488 0.0778539247866346 0.0668093790703417 0.0855316348087671 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259848975538771 0.0208170815499169 0.00288883680273277 0.0176241247786008 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0933023585731296 0.0780054317731004 0.0668533323838269 0.0856337286172828 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0258575341282966 0.0203016512305358 0.00285342326551503 0.0162790046928982 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0939469541601424 0.0787701322409616 0.0673501861571473 0.0864316948690999 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259266992569642 0.020555889477935 0.00286692476299384 0.0162619942351285 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0952229377340492 0.0810624029145492 0.067549473631568 0.0870917281549273 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0269818229658519 0.0225886087992269 0.00305617049347057 0.0162272019675365 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0977083518430512 0.0841509746746516 0.0675954309170362 0.0879551795092112 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0288935751892186 0.0255659670548084 0.00330951270700911 0.016542238278313 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0939220473544118 0.0786580675780174 0.0672816426397377 0.0866319862804465 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0261957086447642 0.0205505400795908 0.00293169452866469 0.016434080522242 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0940206244485455 0.0789877604061251 0.0670392960293978 0.0866127357251026 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0263697731806872 0.0208362519564593 0.00294562210336639 0.0164368896658227 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.095255426266703 0.080639017720567 0.0668681717163758 0.0873342530882031 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0274931094262528 0.02301053563037 0.00310733332982853 0.0176308642791415 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.108831424910853 0.0913822869280084 0.0675456878109188 0.0936691356910335 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0381516472321808 0.0315930331515269 0.0058112342493325 0.0162209751895755 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.130573520919111 0.102080235480788 0.0679737427057684 0.0986499392690603 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0537343934307166 0.0434776151708792 0.00952563608302306 0.0186091810663125 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.254506513187897 0.247338808972012 0.314923977901079 0.5540819302707 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0219017175503044 0.0136565059525393 0.00638540679026805 0.00189304688739426 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.253949623849896 0.246787922856976 0.313823636316602 0.551635616288797 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0219547792975921 0.0136954694086127 0.00645739997765485 0.001888971747566 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.253717594450396 0.246644537159301 0.313481402920453 0.550877882642417 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0217897113785185 0.0139341184032757 0.00629880751868096 0.00192477594629035 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.254891515096861 0.24795795576196 0.314697826850755 0.554089732926089 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022411432105631 0.0148224675165808 0.00622859833424628 0.002179623115892 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.260820019127763 0.25392178782009 0.317737954822819 0.565101997924129 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.027378557575061 0.0196923086992021 0.00727122257446329 0.00272082884886879 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.268918067051858 0.261565985727 0.323210488105009 0.581208349141379 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0331846551307328 0.0252849899600223 0.00777682406605992 0.00341979438284512 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.255623169297198 0.248618667636251 0.315253060641447 0.556802896328244 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220871985821247 0.0142297380095895 0.0061205704081672 0.00189569230398824 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.256158013577633 0.249362335877276 0.313496400291754 0.555831745314864 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0230156012319074 0.0157183256296378 0.00601247656990356 0.0021290758073785 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.259034315442242 0.252352320755579 0.311378494944615 0.557441893206415 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0269667338702569 0.0188176161660717 0.00649590390171706 0.00212762027746853 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.281342758283322 0.272649454207566 0.311913591645066 0.588006988671451 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0479774359227143 0.0366205960998732 0.0111138113504425 0.00518288282772498 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.31155593144405 0.297680866114724 0.321566148866558 0.636750333861658 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0693597641857421 0.0554041880030554 0.0173548680962461 0.00993845823352274 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.28878542921795 1.3189031865905 0.33884464050334 7.45694362933758 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0260869366429828 0.0892956955391482 0.020166555522412 0.0739251616163114 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.2887608088302 1.31891475106145 0.338855056548419 7.45706852071178 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0260958396142629 0.0893051606617502 0.0201475740030041 0.0739513613081949 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.28870630306272 1.31893131752547 0.338840162722812 7.45725166049332 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0261400431635933 0.089314383624254 0.020133623654506 0.0739835528760807 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.28872684840194 1.31947694049999 0.338866883216112 7.46394753984782 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0264179649279751 0.0898364491765993 0.0201753533493752 0.0748958307902158 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.2871119177806 1.32061121698032 0.337691802444694 7.47767368890839 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0282824267760396 0.0911355970013963 0.0211549029110487 0.076738420524399 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.28300503179556 1.32112111618702 0.33488019919311 7.4837252826761 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0298253104233846 0.0921450823317255 0.0204782270701236 0.0767294813938945 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.28847766562157 1.31892090757067 0.338820677626797 7.45714794237422 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0263159636673805 0.0894189243374467 0.0203682953763693 0.0740944522452466 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.28792404750354 1.31906149366969 0.338575105216592 7.45881107428281 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0267832498998978 0.0894602314182704 0.020548848835588 0.0742261228807419 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.28577276361959 1.31951251414947 0.337320870299769 7.46411518408498 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0288618744275888 0.090250421026415 0.0217437245665362 0.0752033663920438 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26241265545305 1.32306629716772 0.32118820723552 7.50456082345719 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0383859325711274 0.0963623158402557 0.0231823903432039 0.0783108695863499 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21698106997383 1.32975405284119 0.294975100098679 7.5846377810411 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0537380397982623 0.112708275184334 0.0388740760547811 0.100738985619238 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69907570785773 1.76457199671164 0.798304363293893 13.568156490887 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168579799869381 0.106839398865953 0.00671818723762915 0.101579612547153 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69901958265652 1.76454785142439 0.798154473401011 13.5678365356393 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169457923797193 0.106847961542865 0.00682318457552315 0.101616445385989 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69891484511653 1.76452270078442 0.797916595163213 13.5675078163588 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168171257535253 0.106881310117252 0.00667966780726077 0.10167465591892 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69865918189921 1.76433743855704 0.796596862644635 13.5638648606798 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172096765953826 0.106786247752522 0.00690458434274761 0.101482346248003 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69643489146334 1.76562255337964 0.790505789074208 13.5850760567832 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192330294075349 0.108723827050482 0.00718780497117771 0.104413875982761 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.68971765015632 1.76446502826011 0.777412351288408 13.5631354833984 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0219181609843727 0.110727571975528 0.00771076518845379 0.105623838255279 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69895125111054 1.76502674000527 0.798060008796242 13.5747499494444 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0174575136210028 0.106935992176543 0.00694449944257538 0.101878511686382 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69827787667406 1.76526224073452 0.797401653142842 13.5782104558674 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0179020743249026 0.107104070126375 0.00690222846166918 0.102117480309524 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69522253081667 1.76572628821917 0.793851343972945 13.5865996036696 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0197344041956338 0.108119215997451 0.00692525720541027 0.103528627979108 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.66375861641457 1.76623844745412 0.741224472004079 13.5915839166241 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0309247833640417 0.117401951380172 0.00872433062386966 0.114889916948978 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.59837589548507 1.75944236791604 0.645894935650461 13.4854461471777 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428792578344079 0.132147109314941 0.0116716805247663 0.13321854427239 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27170259120194 1.26665835266897 1.07162248457203 7.51945263564079 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191962357655132 0.0300594364765682 0.0129876760323828 0.00564156582601359 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27184809895269 1.26675812657784 1.07136457472043 7.52017154687094 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191942610121439 0.0302418322776911 0.0129641075572636 0.00569574686154534 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27191214445899 1.26676907872966 1.07129982944024 7.52016804927184 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0193865969529202 0.0302896995078648 0.0129907376693859 0.00569733778192272 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27229879404161 1.26707525729146 1.07070462517038 7.52246971588021 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201286874620783 0.0305427768693859 0.0130914081863002 0.00575628256404309 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27223168121961 1.26700103116382 1.07072356103507 7.52120482995638 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0241834127247118 0.0325556224785425 0.0128253090977993 0.00610442591485615 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27165345583167 1.26695508687681 1.06826743930411 7.51898810450084 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.029608024973461 0.036087522246138 0.0131972507345055 0.00672356415338168 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27129260208577 1.26622674369484 1.0720858161258 7.51561383808615 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198618059166459 0.0302637640898453 0.0129733610580059 0.005656363692898 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.27054740575677 1.26551298185031 1.0714520074807 7.50751978726624 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0212479183469826 0.0306761935057775 0.0129485623862781 0.00571269241076948 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26950046269341 1.26478202154167 1.06953015862773 7.49802990439214 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.025197729474416 0.0322515616720459 0.0137921814527778 0.00595551848349333 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26320724800446 1.26322121106652 1.05760555405494 7.47729117020055 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0415282114897537 0.0450642693292858 0.0139832728740435 0.0084699085045374 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.24869632323038 1.25830711136583 1.0337078650128 7.4196260332315 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.059324755877467 0.0619044938612084 0.0177205522397539 0.0136053408173284 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.214552079929543 0.17660688166475 0.312818688842454 0.453183525468162 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0736540408813097 0.0804294734593336 0.0225164395706669 0.100257621194909 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.215238422685233 0.177276695623697 0.314254413907063 0.455827539141489 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0736454240006301 0.0806685407948423 0.0225101838593324 0.100550036126093 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217181932853062 0.17880493067383 0.319107686837869 0.461343287780944 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0736362834748983 0.0815225610870409 0.0225137247199011 0.10182581083483 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217248078477213 0.178650048500897 0.32104669774009 0.458743158727164 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0736581523375794 0.0812196888371793 0.0225352636251118 0.100741219770712 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.218486460588669 0.180048928160785 0.324059823988999 0.453960150270658 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0741006940527225 0.0834948675649209 0.0226570770241835 0.103578602683746 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.226839286306294 0.184594548784102 0.330848279321935 0.452665779121058 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0767395726003242 0.0895835930678459 0.0252611261958316 0.1092197693003 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.215230636421483 0.176039460561772 0.315165405126062 0.451348160255025 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.073217075298825 0.0809968907872333 0.0218272793838698 0.100158112964714 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.216121751273927 0.176497357564217 0.317452271482104 0.450949884077229 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.073679906334506 0.0822387834665151 0.0225557730321849 0.102936268735879 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.221302288572368 0.180932760837379 0.323795616288404 0.456565920482304 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0746714462496574 0.0848986750978881 0.0225152747878588 0.104468800367685 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.281178320370302 0.204698400331215 0.431762655696249 0.475532205421899 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0954853856129191 0.114296989788891 0.0515956408685164 0.143183348506837 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.367904185715464 0.234143455177575 0.558175799869256 0.497033423258484 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133825193159954 0.160927106868221 0.103191227618526 0.223115797620616 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.343541142215398 0.384372738547878 0.226993088008935 0.922881115006598 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.069881414030624 0.126333034210435 0.0420516190579357 0.14582881471411 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.344449792130218 0.384432406069427 0.228737099273045 0.922844742208915 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.070230320737307 0.126845499763494 0.0421931637882805 0.146288613270787 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.345220068122058 0.384144331965461 0.232101448076886 0.921842736918932 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0706303614092026 0.12661487214075 0.0425305729036142 0.145870045179349 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.347790849222566 0.38432222984207 0.243140604757519 0.922217392511029 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0725475464962551 0.126720120274584 0.0438914570174737 0.146071475727628 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.361942697351364 0.384107073008853 0.311082851485411 0.914500996461284 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0754039157147707 0.129583499503812 0.0461485969799283 0.152936388218017 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.382968300520614 0.389165646916554 0.377572237463885 0.927288808938716 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0789508624029872 0.132719347121471 0.0495533176938781 0.157534345751153 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.344470688110199 0.382233520403628 0.231731040046075 0.91348412320533 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.070670879433098 0.125802790273839 0.0420301501262372 0.14436722699449 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.353057596062703 0.382849800414962 0.287472431890748 0.913979067799082 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0718393536176249 0.125872536361156 0.0426787747514332 0.144584265415466 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.364775879573287 0.384940209848662 0.320902769008701 0.917358169838007 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0742450796252408 0.126191270369312 0.0436280859197826 0.143761418728267 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.433175817954225 0.401953792753902 0.521025065005776 0.956970051977846 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0877843249407639 0.129910326667688 0.0524118836470697 0.149716858093474 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.512787400919551 0.421292096338843 0.776548917728474 1.00366837161692 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111217116618813 0.141639959354443 0.068657960640732 0.161483195469909 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47453962422686 1.52506138433475 0.577858865811123 10.3712933412826 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0504989154959455 0.186747165347818 0.0292926596188672 0.33872490108436 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47410943233715 1.52514959633239 0.577925445474431 10.3722418883251 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0505143037135367 0.186930266216909 0.0292483449980306 0.339103544858016 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47321005565494 1.52539370847951 0.578698165875589 10.3753007614053 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0511403665895202 0.187277556423153 0.029958785008618 0.340115765647086 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47149034258342 1.52566378526962 0.583971311547326 10.3789899536397 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0527052679273536 0.187721189924281 0.0344023908771742 0.341325400697415 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.4636180355044 1.52865990782532 0.597111853502571 10.4216003905619 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0550234259888423 0.191427304983636 0.0364334426618008 0.353358929296869 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.44996870988577 1.53331620747097 0.596812881001607 10.4875364605848 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0600407825368362 0.194870780885347 0.0454713181400721 0.364609154068429 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47414373080504 1.52602482911753 0.579254634589049 10.3845255527903 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0505314171297043 0.187716259347679 0.0293995758487797 0.341704461303511 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47116416877223 1.52734717409422 0.582686379578182 10.4033342006477 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0515148659102973 0.190282698412962 0.0301489478993663 0.349605238944531 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46546703078157 1.52887396772092 0.595817131493909 10.4235995364455 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0506645178713907 0.18938812780322 0.0245421196338027 0.341600332690631 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.4147112439616 1.54424198079588 0.671639174222104 10.639791467735 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0795479767041749 0.210226873030062 0.096603058077801 0.441027572928155 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34161611008636 1.57124525423556 0.781481078482586 11.0319625332087 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121642882446676 0.245129860547267 0.206578751868725 0.573505934054457 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161277116722967 0.161980387464485 0.0808982015744685 0.186326912389876 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0453480633289029 0.0496217222142304 0.0331106318482549 0.0398548317107494 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161291450344299 0.161847710292073 0.0809464100099355 0.185954510719628 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0453397535499604 0.0501153697494986 0.0331680428134052 0.0407783145887211 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161375155837869 0.161832413969489 0.0810380443195283 0.185820631998237 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0455877249943435 0.0502026104606963 0.0335471565688649 0.0407729679572467 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161719243604219 0.161903443574002 0.0813434178226055 0.185711314725718 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0457651997064627 0.0496737355883544 0.0337054957931412 0.0395427395225788 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.165599741479945 0.163872911892606 0.0845999008116509 0.187853346002313 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0474458816936289 0.0516040058199611 0.0342409739573344 0.0409089865991078 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.173096825735953 0.168107242870479 0.0932276161954946 0.192878568603307 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0498419667054433 0.0561117298811985 0.0350310478263171 0.044282357478293 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161448119595597 0.161935289841561 0.0808385237939136 0.185926485316719 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0457056741327079 0.0495130706071275 0.0334215268883819 0.0396636220505301 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161138495133368 0.161531456201777 0.0806298973695043 0.184833852590297 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.046327480611322 0.0505591568331313 0.0336000227503268 0.0416616377051919 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.163674155376253 0.163548255171821 0.0811992143114821 0.18729277332824 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0491357933135099 0.0528747024406239 0.0348320668294145 0.0437443851919108 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.186205127903323 0.170062254474269 0.109390584873886 0.191903453798934 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0607153403144023 0.0613011964076242 0.0382654301881509 0.0492095001636969 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.21465434151934 0.182587841447785 0.142958095052982 0.204287013254392 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0768736711147019 0.0734710066972775 0.0451163441802947 0.057185260274749 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.410189162172715 0.424702445589807 0.50357867634843 1.33781265730864 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0378777707606935 0.0646797289546804 0.0293473695596034 0.0638626917204898 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.410262382128255 0.424799388616536 0.503944887191586 1.33810353009111 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037676689052574 0.0637239515844954 0.0291467755157542 0.0624894624919415 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.409996784234334 0.424578901764794 0.504127376074011 1.33715305175976 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377503561084436 0.0641114567833409 0.0293202940520001 0.0630632854027905 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.409571380833909 0.424342339016397 0.504268107291135 1.3357320245849 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0373401498594129 0.0637277893984476 0.0287065062901378 0.0621592307937323 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.410879986222686 0.427146103701169 0.505202263661967 1.34337377820609 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037295121430201 0.0642892030609334 0.0260365342700593 0.0612055918309039 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.411206204415238 0.428928174284209 0.502134487617154 1.34403012480666 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0396983635961229 0.0660718603451207 0.0263931994667772 0.0612412472629923 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.410631337547408 0.424914926458344 0.503749475234311 1.3380846291019 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0375336241851589 0.0646895486487757 0.0289237563670077 0.0637911975037974 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.410263451692892 0.424593447361576 0.502783596093009 1.3344633146063 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377570320082825 0.0646140835264344 0.0291462369510497 0.0633175344988858 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.411502641421901 0.426184064238216 0.500679479069692 1.3370716884183 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0386751646768742 0.0655942064136078 0.0289705806382769 0.0630065353308087 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.418957503956892 0.438100784695856 0.483463345931102 1.36831011977644 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0552880876775263 0.0782322434238921 0.0517796423543746 0.0746306602385857 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.428334594666335 0.447980740745767 0.474543668464513 1.39420683295765 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0773750834219187 0.09741452819295 0.0719193603689246 0.0941826089540253 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157656006614742 0.141611060243199 0.126500536227705 0.197767639069013 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0431105848266302 0.0339799812835851 0.0163748043218197 0.0302417381658766 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.15764639898202 0.141343310408915 0.126687648306928 0.197475868915979 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.042834622149433 0.0336311316926558 0.0157383845133563 0.0293255564983812 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.1577278157586 0.141292505941691 0.127159576861676 0.197457976691327 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428962707948141 0.033547409680212 0.0157614197003942 0.029269705535765 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.158468153583962 0.141748933034601 0.129228754632035 0.198266595730584 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428376350788769 0.0341105638462146 0.01571403688868 0.0302697962216663 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.163641388681829 0.144399281690281 0.142743345002032 0.20169828250592 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0437788222006674 0.0372906963355037 0.0161594751578059 0.0349575621455539 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170607641562419 0.146590541497457 0.153721206907296 0.201574054365669 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.046305856949587 0.0398557792644441 0.0169848582583788 0.036240395244854 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157548027716838 0.141498919963259 0.126785648329537 0.197952424318764 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0436470218030466 0.035125353694502 0.0171191133236762 0.0321475917533218 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.159275851368553 0.142943664563163 0.129000108062561 0.200468188771707 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0437846322086122 0.0347495690575695 0.0167276618924394 0.029989784362519 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.162746311999234 0.145732611961203 0.12999088993002 0.204609485858149 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0438223812414356 0.0366019036095357 0.015635486611266 0.0328550134312851 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.197895506362855 0.156046489488834 0.154649289496735 0.211388601157503 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.060673385649902 0.0558913387793452 0.0263700798936322 0.0548233867744824 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.254330886146497 0.169145944887249 0.202904790971739 0.217303939203363 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0860381692061 0.0800302373641493 0.0441027728025273 0.0819621146815081 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.291941374692493 0.282182393720788 0.336835799139084 0.649541115418722 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0501772928183606 0.035987884378534 0.0251877348782585 0.0139519590398774 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.291957778296787 0.282197942042557 0.336816054591252 0.649482211134852 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0498859781643414 0.0359933337141473 0.0249705003326861 0.0139647898923077 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.292094645836571 0.282347798715078 0.337038029640683 0.649735566769359 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0502682778778074 0.0360975602454304 0.0253092412076373 0.0140015493094538 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.289871933528624 0.280270911678618 0.332883222463932 0.640166386612594 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0506672124751272 0.0362131870408159 0.0258570861026519 0.0139014520247438 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.29264396671815 0.281639071833917 0.33502859375649 0.633821985332439 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0538701502187389 0.0395251061232282 0.0282556243961602 0.0156487758932037 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.300897079568495 0.285493732247908 0.348631105701447 0.634913739938574 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0577166403507286 0.0442233283957469 0.0310628006125891 0.017787733788479 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.293659366406203 0.284841029841533 0.337910348470361 0.658613089862465 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0503670684741949 0.0361103772110106 0.0255813105079158 0.0138616992248885 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.293190694617159 0.283228186228974 0.33661521322969 0.648605370030845 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0513083346854691 0.0368861639432206 0.0268373476082489 0.0139507209278503 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.296409510456829 0.283935771559119 0.341032767350083 0.639767179718019 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0537072461229449 0.0393755243959171 0.0276892369175943 0.0140362595802245 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.339995457241611 0.305758219202222 0.414384181626989 0.673007661872814 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0769517882329537 0.0619285971748137 0.0438379314040795 0.0297265678857121 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.398628275435069 0.334392048854036 0.510003612580287 0.729756003080325 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110769446025306 0.0911000125604629 0.0762084485576436 0.0578584932916184 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37925140853592 1.44742139266793 0.416322033697781 9.06842223400762 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0855375385756231 0.184685233138703 0.13866083761652 0.294133924206606 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37886760838027 1.44746011746517 0.415967836464964 9.06895326231429 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0860140726108736 0.185173693100595 0.139553230547157 0.295355220076004 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37821762602411 1.4475480578474 0.415566815990573 9.07019306816259 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0862320385426229 0.185416541425458 0.139723143692353 0.295909183147 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37524322317425 1.44817385607633 0.415716013990987 9.07984217984867 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.088726642513678 0.186675488546256 0.148751165471143 0.30098741005116 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.36612451642005 1.45180027723769 0.442297414537179 9.1326583423562 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0946186400729415 0.193775833375861 0.159383632745594 0.327237277450373 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.35536468228904 1.45630417124157 0.487752197465397 9.19421389186182 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105486965652236 0.201862221570371 0.186602528600627 0.357982084249042 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37852752346702 1.44823756991116 0.435967428033309 9.08369944895718 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0876264508660937 0.187082362221523 0.142373305145159 0.300826221247192 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37596275568316 1.44883173005897 0.440332112058465 9.09183892349795 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0907239417782494 0.189321962664091 0.150951947080487 0.311317092545615 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37062507453562 1.45093123612155 0.455584889883831 9.12024419744703 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0915906062612721 0.190379881606381 0.149994960269528 0.313900797730435 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32757970311434 1.47045214100926 0.604448883791805 9.39360643761252 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.1232716954618 0.217507353372091 0.223602263341187 0.397282418522903 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.25725442146301 1.49085685785394 0.687468827893134 9.67644077626269 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.165539623868997 0.263076664944541 0.325315430300699 0.539277934569952 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71544972796284 1.82177536035249 0.95882199897574 14.9044992083133 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0371117777447186 0.204936490859015 0.0155521075320746 0.352228280130012 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71487595016042 1.82214965412988 0.95919290417834 14.9095260486911 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0369678023482334 0.20487817159601 0.0155042627177617 0.351873067827383 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71434562842207 1.82338957433265 0.962658147960745 14.9345581646712 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0369924728967405 0.205490594002267 0.0155206999344009 0.354415765331355 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71052523816689 1.8215118596389 0.970101950195263 14.9110229769108 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0368159984087472 0.205138214023108 0.0153343589626545 0.353289025484071 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69647359270653 1.82084812838515 1.01470577977318 14.8941337943793 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0431637281992187 0.212477896679145 0.0224620237282455 0.375967094930159 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67676452173085 1.82076704117016 1.03193768925728 14.8972047195879 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0533984973404645 0.22936053690204 0.0425884597725941 0.456694483935015 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71463297195471 1.82230536391897 0.958787515593977 14.9151142220961 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0372266346512578 0.205352276852645 0.0156876841536227 0.353709714062526 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71006094951703 1.8212707522685 0.969220822530067 14.9025524723773 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0382161336123633 0.206426404184049 0.0165958831710015 0.357281275868438 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70231579694966 1.81960793828474 1.02456606582523 14.8840051881487 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0404351108589824 0.20999226302825 0.0184880038772624 0.369140752461712 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6414140528205 1.81273441542614 1.16797137663289 14.7914334096538 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0683188146751153 0.253265624329898 0.0595592327031691 0.552327827389263 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.56060811001145 1.80896337677035 1.2801135857952 14.7487543871404 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.097062870146603 0.312076497304223 0.107128452122725 0.803191272377003 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26172897833269 1.25358044268192 1.04914629222121 7.36937364188543 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0435158522360613 0.0441850958853764 0.0507188171257831 0.0153976381113347 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26130027082494 1.25325760682021 1.05171754012672 7.36656514983916 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0434974018826611 0.0441753703577992 0.0507096178716588 0.0153899424571889 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26120016736205 1.25324099000079 1.05180816140266 7.3660949085049 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0431475424551792 0.0439863501749051 0.0492629428439492 0.0150542810148923 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.25996581071963 1.25227578866077 1.05318470774169 7.35687981995364 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0436924577895597 0.0442605993857016 0.0496416856380916 0.0152109022993453 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.25752792819017 1.25250044124349 1.05550907231276 7.35777461451579 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0484799697651406 0.0461031908785978 0.0544911659681111 0.0178574380927938 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.25340204491534 1.25159555886313 1.06642419444114 7.35000622582749 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.054847330703366 0.0500292560041811 0.0609585332680541 0.0231271694153549 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26178113891481 1.25376021261316 1.0504884559234 7.37198676867396 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0449991076117355 0.0451009389675548 0.0526761540943753 0.0159864476419456 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.26059850518183 1.25297677456926 1.05148510627817 7.36424635823441 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0455139883216504 0.045163915779292 0.0512666414999351 0.0155801967246028 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.25943912908355 1.25419163714185 1.05016540539286 7.37397020269519 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.049155342135122 0.0467295695872572 0.0539144016522789 0.0164333114026539 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.23874879736711 1.25497414481344 1.03152325632943 7.36830538761528 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0703597594743656 0.0643158420992181 0.072543333310155 0.0359567640716122 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.20649377397376 1.25640241639741 1.02152566896913 7.37597709547735 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0948168298429811 0.0882288671268986 0.10231841902119 0.0644591375652408 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.188656488189177 0.17308245220468 0.387924521135273 0.50426814240449 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0225803467539546 0.0128237142450266 0.00364695379466926 0.00951300303984348 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.188671844742862 0.173274577473298 0.387873694431191 0.504361559804487 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226103808468027 0.012970765058883 0.00365738414263016 0.00944881310824191 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.188740691836772 0.173982583468684 0.387825540695185 0.504807555837946 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226860984263484 0.0137304891922696 0.00367796420801784 0.00960442564559998 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.189495673466608 0.176432869477993 0.388045977193204 0.506696295012075 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0235344216161986 0.0163640878336326 0.00380172362705618 0.0099858923210336 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.199068844719418 0.189346761719678 0.389514994633506 0.516791095577716 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0338924485513504 0.0303613553589828 0.00569371394689027 0.0125179413851573 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.211496349625589 0.202354220071741 0.390931581627451 0.52595371545178 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0473635055203607 0.0450311993017833 0.0085221975529334 0.0159203191883788 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.189184747635762 0.175491121830271 0.388090547719876 0.506136642237848 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0231210883219154 0.0158437653909659 0.00391103928257545 0.011158688756841 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.192137696275603 0.180501531018656 0.38902863540517 0.510645047929495 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.026039787233824 0.0207419447624901 0.00429907965519278 0.0113149335235789 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.200773748592227 0.190518113650904 0.389545341240059 0.517279527936071 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0357440421160812 0.0321972172987015 0.00589537439530897 0.0134424318219693 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.248229994950554 0.233970351445057 0.40213200517553 0.555121400455078 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0831933140136017 0.0798833460277666 0.0208668886074725 0.0311670441701054 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.301214270988803 0.275904828187244 0.421325145967566 0.592640370766875 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.131169383953033 0.125766061759266 0.0462407324055069 0.0570808480905766 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437390197270835 0.430082713079184 0.423405691932936 1.15721597464292 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022598391907825 0.0316378022399301 0.020874187154977 0.0450777389415085 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437413360761039 0.430142431128526 0.423306718439608 1.15734300968501 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226674614548518 0.0317481348472696 0.0209345151574029 0.0452603192083167 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437240765795334 0.430039742791487 0.423149381372603 1.15637357914404 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0230122046834484 0.032311453550671 0.0210914240180812 0.0461470942352888 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.4383073262601 0.43135277998551 0.423331321420346 1.15912635096038 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0240301854541858 0.0337781558584008 0.0211674843747063 0.0470921598377144 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.443962187325753 0.438104682486874 0.423483608701984 1.17189082303696 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0315448006643617 0.0414966798751659 0.0217643654888905 0.0470516940723992 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.451635314231628 0.44630756322789 0.42367475747987 1.18966246647328 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0408935794565898 0.0507898974583195 0.0234418982205664 0.0481804341113819 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437541655297425 0.430431539829303 0.423035504752201 1.15644156802747 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234975533528907 0.0326809652125771 0.0207890797731518 0.0450734484336557 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.439630564097493 0.432959968260981 0.42321553652806 1.16140518865027 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0260645937389026 0.035605341189486 0.020967094527245 0.0459846797185004 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.446218488886026 0.440222759495627 0.423697867788611 1.17802291196665 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0329430597841748 0.0426824994248572 0.0220565655528513 0.0471877325698304 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.471494658458711 0.464963252093556 0.420779993149458 1.22972155979549 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0655629560210513 0.074753489038336 0.0320886642311276 0.0531792660374077 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.505725827017671 0.49377575079084 0.422664407568073 1.3064346913425 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0999231714168736 0.108583787544752 0.0505943126231752 0.0690236587702599 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74419403929731 1.76926855373285 1.44494514350535 14.241451477249 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175898246714528 0.0763572545001163 0.0195660628793516 0.0805051768284135 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74421580197804 1.76936817593058 1.44494829889744 14.2430431602881 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0179991031950031 0.0766404275810516 0.0203859393161576 0.0818084840844017 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74416658190382 1.76945925984766 1.44474030958307 14.2444349119952 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0184310929316226 0.0768272218590839 0.0206271751382846 0.0824159471606618 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74388604014588 1.76968329072253 1.44381477944636 14.2479950724948 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0196378597585257 0.0771761015391354 0.0207403460444316 0.0830479547032158 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74026084263045 1.77047027938689 1.43358221018832 14.2601739014999 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0272690844820051 0.0813654939363751 0.0243966254427261 0.0856966416578185 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73304964714165 1.77181248573216 1.41296340804833 14.2809657900672 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034669419995375 0.0889059892743409 0.0227801835240219 0.0894949525337502 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7439208628744 1.76944564361951 1.44395716054341 14.2441815929752 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190281737560482 0.0769581192368906 0.0201589915261922 0.0818808787184697 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74292046988783 1.76957556810595 1.44115286623844 14.2461307383448 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0216044551257491 0.0783767495908781 0.0199850886788642 0.0830226756395859 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73925111921633 1.77027390887374 1.43040434003659 14.2570183595094 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0275074734100626 0.0832117014113458 0.0199755122119772 0.0859531850348618 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70058720329523 1.77658741728624 1.32110282707858 14.3538515875326 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0552235176134112 0.115157730163009 0.0290888947286677 0.106136488070513 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.62538204009055 1.78921554545355 1.12860305042377 14.5524268209898 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0850972940458405 0.158709611232733 0.0448749815459585 0.152564656959076 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.208866909823535 0.203897468773019 0.157339928965294 0.322570634672788 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175950115641257 0.0145297209476237 0.0145527425251485 0.0171151716831907 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.208904611394511 0.204164324700082 0.157355210270833 0.322793498037751 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0177828241592376 0.0148959438739782 0.0145726769877721 0.0172965187686072 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.209138243402505 0.204776373375143 0.15733918922358 0.323262505826862 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0182358428110087 0.0154847386558733 0.0145762100785321 0.0172057002015236 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.210223846433105 0.206284635600562 0.157417560985476 0.324480443395064 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0200509441321341 0.0172648383611211 0.0148740517237044 0.0172057991301707 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217011039394749 0.213523739213035 0.157873305325925 0.330818150075552 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0292146798457162 0.0263860028479256 0.0159911844538884 0.0177050855600944 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.224806626220957 0.221116795418139 0.158716226838998 0.337949391531429 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.03855949287084 0.0358105642584568 0.0169807011150528 0.0182227608262048 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.209874997775755 0.205683436212792 0.157388125714992 0.324131864126973 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0193321432361708 0.0164351448613278 0.0146275779982137 0.0170116248970127 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.212159575597738 0.20819990153073 0.157421827497745 0.326120562717358 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228763302448245 0.0196805802753187 0.0150999212691571 0.0172308358461557 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217688879096804 0.213639102796234 0.157762869045663 0.330627865908077 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0307089005834139 0.0269402666461608 0.0162984696068545 0.0174221005557054 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.244049643839236 0.23691275791466 0.162805216895774 0.353878396508174 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0627770891054473 0.0574774134094226 0.0236415266588461 0.0223076896156426 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.275299282096645 0.259281035385491 0.174051262071597 0.38069927226513 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0943048802937314 0.0870956263468769 0.0373896238266392 0.0301110550308187 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.540284578715486 0.540687349140746 0.939254213515688 2.14466123315595 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0182176718225797 0.0218498249629434 0.0258015447012111 0.0197361389757972 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.540342607217365 0.540981370756841 0.939155530220263 2.14532787244828 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0184370008659287 0.0220239622166397 0.0266768998147529 0.0196840716739052 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.540750196112063 0.541774857227692 0.93907138113919 2.14748910211596 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0188469441920237 0.0226127458116732 0.0267119922623011 0.0197590014682111 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.542031141396173 0.543583311907098 0.938914205644876 2.15207652707595 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0202801064217 0.0242168420155389 0.0258887774392847 0.0198178389149136 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.548427606784537 0.550326862313839 0.937520283843663 2.16675773161481 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0298679972242976 0.0327207009937282 0.026423349139872 0.0204425124706157 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.555867581066768 0.557455828995584 0.93502355189312 2.18345399324392 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0403828022223675 0.0423817024804018 0.0277860110194792 0.0220177068218231 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.54126438157027 0.542814584586527 0.939162222193378 2.14999849800384 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0194579019465272 0.0238368278953244 0.025970908077221 0.0198146843075463 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.543337287715306 0.545498397835482 0.938597746975907 2.15532738651896 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0229752159556886 0.0273624083527785 0.0268745011523602 0.0202975479772359 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549029732008012 0.551705325034437 0.937720465871275 2.17092413230708 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0307662761748673 0.0353059569718142 0.0271669426973666 0.0213936945576596 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.570565795849048 0.5727870251345 0.924972217581319 2.21337179268077 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643148098182543 0.0699169911831696 0.0342909580658951 0.0307738345772667 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.592121801137579 0.592462123949568 0.903112397328924 2.25612995655128 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.096940516470502 0.104943174033422 0.0461267740233221 0.0469200370291657 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.196568210882721 0.190410428442929 0.183545798027194 0.323456683949311 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0212301085038765 0.0198099948289559 0.014319627202468 0.0222693149306698 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.196502278874004 0.190431576074018 0.183511475197868 0.323425339712786 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0211288018142197 0.0197233237976747 0.0140844428042579 0.021482371063177 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.196705569003441 0.190806460583757 0.183607525187875 0.323943544961259 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0210194728279946 0.0203704904262968 0.0137259111869104 0.0224988555397632 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.197343603736749 0.191837751631256 0.183659847317453 0.325010040627477 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0214317870604596 0.021611332908959 0.0131583633889131 0.0233637387644867 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.202294580115351 0.197282213256556 0.183689458408913 0.329974209871591 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0265375600310253 0.0273561503919882 0.0124615519042666 0.0237107909716081 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.208300889307966 0.202631321841042 0.18301741722099 0.333955294074517 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0336549951867549 0.0337575934654001 0.0130807987877138 0.0242891806312563 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.197071897483717 0.191391783191389 0.183557020804269 0.324387138146153 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.021153125101657 0.0208125813849957 0.0128515894248928 0.0223986971259562 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.198493570370461 0.193339570576156 0.183496855886588 0.326006805675718 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0227386497854839 0.0226763303962286 0.0125780426087158 0.0221974936001873 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.202865767479407 0.19783033492222 0.183145971235299 0.32951580166172 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.027815637190465 0.0275442142171204 0.0127796311367959 0.0225317087671013 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225685468005063 0.215207003702118 0.179508226541485 0.34061109809394 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0537924800746232 0.0498354402880262 0.0184844781494884 0.0284157496082303 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.259494051756427 0.233180002318617 0.176392361816077 0.352413871962377 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0808025109285247 0.0712259486468415 0.028137072444129 0.032426011787342 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.314674724416865 0.308830388685716 0.371269645158092 0.745047945802447 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0159370689865264 0.0111818236809399 0.00634949514346339 0.00237784162675483 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.314289605880965 0.308590906049567 0.370996769744926 0.743931100295698 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016179813740694 0.0114196587337087 0.00647515546095836 0.00242156990706891 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.314369752585799 0.308911628597035 0.370860534038216 0.743908703388772 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016722823250936 0.0119758127849895 0.00658626478962649 0.00246289992192627 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.316100492606696 0.310870431831531 0.371413888590679 0.747013155030112 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0189491258269783 0.0139637526485638 0.00685798472181852 0.00268399669544394 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.32667386075976 0.320279723403723 0.373819224369613 0.760325564368346 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0324395874512158 0.0250678943788992 0.00953512729795976 0.00380281391101036 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.339886909795012 0.331176259936291 0.378200953993563 0.778296874614912 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0470335848257156 0.0377358506554027 0.0135235341040496 0.00620004773554729 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.316173203607331 0.31097291407056 0.372049864438025 0.748873218634776 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181096605218492 0.013170124753381 0.00673958019661846 0.00254211801477792 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.319605194759862 0.314498351573082 0.372446061682074 0.753428439764063 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228564384314682 0.0173857829506414 0.00739091878003177 0.00303403599437426 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.329594273663534 0.323718951163333 0.375658754494554 0.76919608093034 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0342504218765214 0.0270759669349137 0.00959583432489573 0.00399623563016709 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.374512551090556 0.360452453875969 0.395716644713766 0.834990748899601 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0831710011365135 0.0693749649303175 0.0288597398654934 0.0161310340002266 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.427763563764855 0.397617125607167 0.433668496534123 0.913298717741339 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.13135480873664 0.111150565579274 0.0618203532015459 0.0363815281101705 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49509532129088 1.49633768415353 0.706464321520737 9.70130161903519 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0319292319625901 0.0468919520206928 0.0660626114331161 0.0660698720522534 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49509533101059 1.49633914777565 0.706451680729528 9.70133805655612 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0322807143853881 0.0468991536554708 0.066149707706479 0.0659808406745262 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49507508882083 1.49634504841465 0.706410078591727 9.70143570684331 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0329319078085311 0.0468595976064796 0.0658992667676259 0.0657915520444565 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49495121120706 1.49630714866792 0.7062779443121 9.70103540374769 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0349524406826651 0.0471808042242498 0.0659056180181776 0.0654213551645927 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49373317436059 1.49649094495746 0.704621879055481 9.7038996447183 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0453252957862061 0.0545044391228871 0.0681498798617005 0.0671010634088292 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.491193507016 1.49689864290892 0.701157978591987 9.70983868991852 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0561530281826414 0.0648468327182089 0.0717177057092371 0.0694704884835915 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49487662057189 1.49631280813784 0.70621740296375 9.70097931858731 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0343094025721944 0.0472994661139396 0.0662524674792358 0.0660031086411467 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49444590946088 1.49629437341912 0.705730677575063 9.70084282636862 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0382747020432607 0.0493292637534693 0.0666225923838865 0.0663073295865031 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49296631055085 1.49650324221599 0.703782267200131 9.70372285915341 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0462735359418979 0.0560346484828903 0.0668142442062715 0.0664644452871822 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.47878196777117 1.49927970243757 0.684919792569748 9.74216294164499 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0800279076502501 0.0929411744193073 0.0768050857698179 0.0780156798490291 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45150337923892 1.50496394397621 0.650582823694588 9.82149348968487 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.112528603864694 0.132279331135912 0.0936717746391344 0.100573271099523 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.9087136330257 1.91552007017148 2.1328686862854 16.8914195754684 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00744607932147603 0.031042262709349 0.00139037046393672 0.00924844836535181 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90863739591616 1.91546870082892 2.13313154314097 16.8906689251025 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00773802566286267 0.0310890765504167 0.0013870564856021 0.00925143782607829 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90858199120199 1.91549115453638 2.1332114243762 16.8907983241331 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00844836135086714 0.0312591449229002 0.00139931687380121 0.00927361489470193 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90816331970256 1.91532779552229 2.13330911334089 16.8879976932553 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0103510678735444 0.0321619422017752 0.00141132372863334 0.00938728823025529 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90660222220887 1.91598994895166 2.12572351994595 16.8944781057487 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0197328386909625 0.0399079346576418 0.00210206962522846 0.0107111362161251 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90244639425406 1.91577989782158 2.11230528392911 16.8910348261222 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0298938706474738 0.0500837334966545 0.00348919763013302 0.0132493147712723 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90861552282846 1.91567257177878 2.13210424356207 16.8925508737113 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00964305837517078 0.0317435356883562 0.00142284446757321 0.00927718641413629 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90799106474241 1.91568507939399 2.13058298724468 16.8918243933702 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0132707271869705 0.0341916352497557 0.00163145382184281 0.00962313449433484 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.90603273694507 1.91588808513859 2.12317986266842 16.8928634311116 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.02126954411159 0.0411653632500308 0.00239425907083838 0.0108420468145614 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88543817386578 1.91493491738961 2.04811845328151 16.8798928250186 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0552107762548336 0.0775563114514794 0.0106634772325525 0.0230376600874393 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.8463436543466 1.91316631408263 1.90827817411851 16.8640244976873 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0889347830903645 0.11908630953616 0.0263868602775057 0.0489710424338262 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32400753797542 1.31656639197258 1.20552708229724 8.14566867459033 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175151367313422 0.0221053827834721 0.025371472739161 0.00919366752039087 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3242081691886 1.31678833749147 1.20520597492204 8.14736426639724 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0178079977908934 0.0221640806535574 0.0254422479799531 0.00919554922128882 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32421849424788 1.31678188090199 1.2053933562313 8.14692221720738 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186762949839569 0.0223441089246206 0.0256132300375593 0.00920930109693799 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32461566009991 1.31710802850287 1.20517160311365 8.14882463273292 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0211126156587473 0.0231644076887748 0.0257788494010904 0.00928302434656236 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32451977234665 1.31667453585105 1.20656744042704 8.14043841521919 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0327962752861599 0.0310671962127555 0.0271364891192299 0.0103401302624272 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32437896130703 1.31622732052835 1.20676544797275 8.13144219261314 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0454470307738683 0.0415363909440192 0.0301386205586453 0.012166498501192 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32416340671188 1.31659070561745 1.2060381081295 8.14458070892632 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201523359692122 0.0227567246607688 0.0256475353346204 0.00924148330261601 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32439720094949 1.3166467196019 1.20654209961174 8.14314700143685 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0250479438309969 0.0248796433807501 0.0265527821023787 0.0094451645729255 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32532404609768 1.31719811939849 1.20615858005809 8.14382400206324 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0353621873861707 0.031871520856456 0.0284191988347429 0.0103496973482818 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32453650532155 1.31505793650916 1.20295314508512 8.10587460551178 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0778039510541383 0.0673397963957098 0.0433344881225052 0.0189754426859585 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.31737580503619 1.30730298354222 1.19801360416084 8.01008942419783 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119006254205261 0.104442472164529 0.0678232278128482 0.0359124895572898 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.155189692960817 0.140999686963794 0.335875408290055 0.412364320188355 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0203243908815687 0.0114677458995283 0.00306973637117723 0.00877555009994255 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.155492232661349 0.14167569739739 0.336430304087027 0.413461156421822 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0203330703504572 0.0119181129817595 0.00308081685240302 0.00902573610542668 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.155541572608948 0.142830103299001 0.336278564951793 0.413860261065771 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0204964415368641 0.0130805677057344 0.00311389050626759 0.00881939890274106 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157177527714059 0.146594220903433 0.337042922551506 0.416733370257321 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220123468549224 0.0166214305813818 0.00329257516074822 0.00886207595196567 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.17034973553605 0.162973864665736 0.33901961835983 0.426813664681739 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0356833260479385 0.0338810924295784 0.00521810665887308 0.0112502318932652 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.187163005988143 0.180546049873327 0.344688487672846 0.44140830877506 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.052244667442746 0.0515816384226582 0.00903758305856589 0.0150329390678608 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.156150768607859 0.144727466210194 0.336003949346029 0.414544159768587 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0212556159051259 0.0153433879404152 0.00320133805557215 0.0093475244698079 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.160558369007721 0.151345348202328 0.337053352911396 0.419234496100538 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0254047135008778 0.0216106476617564 0.00367536335363491 0.00935153262713703 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.17284487335432 0.165244052755378 0.340776732772126 0.430485071692566 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0372918383871272 0.0357802166952429 0.00553559343727069 0.012004589203114 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227880074284711 0.217556586243253 0.357417291959306 0.468074763569432 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0924264293063316 0.0917510717343796 0.0251523927125131 0.0311461529093385 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.288949170315458 0.267703976237602 0.390779351593215 0.509960293126262 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.14819372474518 0.147614094650439 0.061293765545614 0.0691068482396746 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.348560486739714 0.342668371505343 0.291684845238852 0.753047238054048 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0197375918572861 0.0238031309061686 0.0151341817678886 0.0206492264164184 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.348555868123223 0.342659091017359 0.291536216093283 0.752779080463182 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.020191686376614 0.0240109520032335 0.0153680324707794 0.0210316303558363 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.34938254520008 0.343537725920247 0.292055182678943 0.755296447668292 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208772828735028 0.024331913010719 0.0156165825540567 0.0210617282308671 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.350431798175736 0.344731790696468 0.292102696497912 0.75689341119754 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0222898822024321 0.0256197327534696 0.0154960105781746 0.021104866891613 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.356632966015608 0.351322146068192 0.292412690430976 0.76492142050349 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0312903009658613 0.0338835030092468 0.0163174873120652 0.0215793739173972 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.365815140666081 0.360245144919659 0.294213230715727 0.780212916845755 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0420936771468519 0.0443771404422003 0.0192974240428415 0.0235528499515892 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.349485437902746 0.34378724451381 0.292446871179127 0.755206498091441 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0216494804064974 0.024882829419487 0.0154923683051373 0.0205915617365219 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.351980173294356 0.346622976301614 0.292995362216509 0.759641392938491 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0249968505121017 0.0280514603036874 0.0158505967314772 0.0211644194042183 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.358589747875697 0.353505476676517 0.294235336222682 0.7706735216581 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0327261510634905 0.0357777086986912 0.0168847525551529 0.0223093793266579 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.389751913125244 0.380625804853195 0.30060004881063 0.813966824042341 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0683877284812036 0.0719049289351134 0.030778488531973 0.031165649172232 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437269717042105 0.41492460883734 0.321562328783333 0.892686380972309 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105736963144131 0.108761428828509 0.0548850476680505 0.0495901400115571 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85935843032362 1.87864216551304 1.63978731066305 15.9870685402617 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0210675932417833 0.0666177680422546 0.0413398372706563 0.0703578532289928 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85930778611124 1.87864490199129 1.63955043488455 15.9870831172619 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0212886328275847 0.0666488274835224 0.0412922321723315 0.0703898932125962 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85917041901532 1.87862333316556 1.6391907495451 15.9867176075811 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0219995605863348 0.0667743340825672 0.041448814696979 0.070363651017894 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85896501810379 1.87879357822824 1.63826289341587 15.9897798653313 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0239713292294866 0.0673895480035835 0.041742136864944 0.0710779085321962 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85653312148312 1.87959233077941 1.62884492852168 16.0031222631757 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0340000646691214 0.0746836432002872 0.0431861268720406 0.076609789768855 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85141041073438 1.88069485558055 1.61091528556875 16.021383431254 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0456406860481062 0.0853373315222939 0.0479221623038454 0.0838418154263797 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85933904690357 1.87883083762907 1.63937281070114 15.9901945187381 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0232381480015023 0.0671398537790558 0.04210325706348 0.071710838925141 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85896789538003 1.87915426779039 1.63775422601425 15.9958736940184 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0267124382181502 0.0690646698320104 0.0419029627111069 0.0730114891882418 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85657539283312 1.8795905534752 1.62982311123416 16.0030494175196 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0349108823940931 0.0757824119901712 0.0422277292087972 0.075287891409204 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.8303175629822 1.8846287265489 1.54399564255824 16.0852147388493 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0716728554382245 0.115135128555493 0.0557773073119818 0.0956508909562808 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77922803050827 1.89591728956324 1.3876611462629 16.2728812220862 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106999958054738 0.16121703569733 0.0709339814554333 0.130790181500167 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.169877435719857 0.165774834733531 0.123998602130567 0.232687345673579 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016813033887429 0.0165317974294938 0.0118257478456267 0.0206837483694333 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.169988546693999 0.166063116399986 0.123983809714197 0.232946933208059 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016989938873794 0.0168764782665282 0.0118255864191739 0.0208548141134199 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170124301839468 0.166523104115677 0.123964569072274 0.233228640223653 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0173844150271794 0.0173420205040636 0.0118180616927994 0.0207995408607068 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.1712278653116 0.168005481896611 0.124004426336003 0.234351380067533 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190253138820829 0.018938264390859 0.0120303186280388 0.020939599146588 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.178698849952877 0.17544075462641 0.124610376004625 0.24053050315369 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0278445221788748 0.0271029686889464 0.012996317901911 0.0212690465975634 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.186646080855481 0.182734481750892 0.125433404719761 0.246453843298423 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0374404126915861 0.036268108878661 0.0146859095525185 0.0227750319569361 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170655832055291 0.167420222464665 0.124004628313375 0.233736810460537 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0183848486615083 0.0184438944953259 0.0120401792986808 0.0208436037094005 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.173085969602019 0.170151674506825 0.124126288461959 0.235643444280112 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218649186164691 0.021826523786748 0.012526047573779 0.0211760665042068 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.179140242160464 0.176128577411191 0.124645353052521 0.240084225656688 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0298088105714887 0.0291261643720578 0.0138373192550538 0.0217755500129581 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.20702335291923 0.20052814249081 0.129857935974881 0.260284344711435 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0621415106820326 0.0596593707049416 0.0234174766902772 0.0267649193349398 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.242387345420688 0.226009851581677 0.14265440606388 0.287939709388991 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0930981570544674 0.0895702333871742 0.0374709265985245 0.0356519125670909 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549124750165129 0.547920265381554 0.963234822763714 2.18380312156335 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0185942215086548 0.0178753804759642 0.0272187821473908 0.0141470848502275 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549299474953386 0.548292427740666 0.963411455527611 2.18535759614055 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0188151961316331 0.0180850009450282 0.0274227968687639 0.0141632586852118 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549449084798366 0.548766278625204 0.96333190234204 2.18633064980696 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0190769175565664 0.0185276562202129 0.0271910161945211 0.0139839292495528 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.550016443373832 0.549724029803404 0.963086010470742 2.18737742278279 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208843836699035 0.0202996222193691 0.0276486086439682 0.0142820030355951 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.556910854869153 0.556191064381042 0.961806430347408 2.20150738972195 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0311781370251491 0.029075838310768 0.0290198082969971 0.0154224502539171 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.564605963779273 0.562910771710217 0.958644486383888 2.215392926727 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0423223258023364 0.0387536084309266 0.0318686437289944 0.0171394812416998 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549825034168091 0.549490175347196 0.963009073248538 2.18703945166344 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198939775261247 0.0195738501473408 0.0270334596578837 0.0143521016859685 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.551706428317589 0.551717680112511 0.962742913924267 2.19112974319327 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0229557776564349 0.0226662479716404 0.0257016742560393 0.0144719859129909 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.557926673197101 0.55782080348429 0.961683012265775 2.20629716525341 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0310916028748044 0.030106487293717 0.0262465793888412 0.0155653336143483 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.581066997101992 0.578511856443633 0.948554467962165 2.2495200597153 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0657836633561623 0.0630853266325623 0.0341701237178922 0.02394320555837 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.604529691836867 0.597452943524937 0.922450514656891 2.28717831441369 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100262889273376 0.096566546069719 0.0504901595356391 0.0389285747414957 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.141643727751466 0.135800141224465 0.125639767927716 0.195431391524384 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164514657773815 0.0176410787626277 0.00988239842951635 0.0216400920700468 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.141741327209914 0.136110840103509 0.125681406235044 0.195665951811866 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0165027849388192 0.0178895999424323 0.0098178408095936 0.0215850633836299 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.141914936239665 0.136670572451523 0.125618921903412 0.195862376985439 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0167769227647016 0.0187002726268316 0.00962947190706586 0.0221337550849578 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143357065062328 0.138708716882934 0.125921588736 0.197381316869268 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0180735097516123 0.0205270307654242 0.00937240855041386 0.0219612074598035 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.151388672253264 0.146663710522839 0.126327562860353 0.201547362614201 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0276820843726222 0.0293772360126701 0.010398557029991 0.0209409115841105 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161843253361556 0.155899556722046 0.128022922229807 0.208081014085636 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.038591686091598 0.0392730777813157 0.0122529235622118 0.0220858340814307 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142528644907358 0.137496851748171 0.125637027529804 0.196097707723273 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175903737193143 0.0195953949093211 0.00955269047362991 0.0217036160953844 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145030315564052 0.140280830753124 0.12561240957025 0.197149820059559 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0206838180554164 0.0232219643220027 0.00927771021282045 0.0224169309819973 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.152378517513063 0.146887032996214 0.126235010333742 0.200634418657747 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0292164606135426 0.0308225916157355 0.0105958392644404 0.0228332423348396 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.188873723753764 0.175927380620535 0.134832856257264 0.221663712355638 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0664386242041816 0.0623467146019188 0.0217279239333869 0.0289093139535047 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.230766385428315 0.204027768235 0.150795531059144 0.245780636805323 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.103108711302738 0.0944993677017221 0.0405558924205781 0.0431757799443911 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.316904719975073 0.312049499705192 0.400065553983213 0.781906529420113 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140466348264318 0.00924483640198196 0.00517900890595755 0.00137403758095311 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.317131765374998 0.312590588393497 0.400294483991601 0.78307376100905 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014163556823602 0.00959068051664866 0.00507799280112399 0.00135063965466682 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.31702760166235 0.313068664044973 0.399666940250114 0.782496136244101 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0149096574322103 0.010610735064941 0.00522582090313429 0.00139818336462808 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.318693493651481 0.31543803281367 0.399775623554271 0.785095728816128 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0177846629585278 0.0137488566512342 0.00558940014432498 0.00154409272327856 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.330664041158063 0.327293846478865 0.401607028521052 0.799825469696921 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0339743482460572 0.0296227231788943 0.00840752907471311 0.00352092824840222 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.34642956389161 0.341506063812069 0.408568696069181 0.823861720522267 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0509407844427749 0.0461616886440135 0.012735200635908 0.00670182596385097 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.318391081391787 0.314743128057499 0.400076806801247 0.784732857550297 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168568356868739 0.0126660142698872 0.00549543588145076 0.00160094675866647 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.322047189629019 0.318556860212891 0.399627050294805 0.787083962523666 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0227884875778548 0.0188274240992429 0.00593012244577254 0.00220785671719754 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.331147490282153 0.326734810999627 0.398936362107512 0.791869947093391 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0369920586275686 0.0321906848470015 0.00893706834706897 0.00418258568158387 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.384585118179046 0.369833246379959 0.430110015644898 0.860814758580884 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0950146909702846 0.0871371983828132 0.0327484492044885 0.0216198870063623 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.460647539572739 0.4253260369337 0.518398408438208 1.00397824874992 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152344946776371 0.141373404839638 0.0764980418373004 0.0532593233075226 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42802950288613 1.42945508271648 0.670133326456201 8.89206307048326 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0331520209726211 0.0505057394349741 0.068581326555836 0.0764866498918104 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42800349188418 1.42945737141958 0.670093880112552 8.89211706794843 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0333530237551063 0.0504942013613038 0.0683079712791323 0.0761879702481918 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42794312616438 1.42947295029867 0.670001759066731 8.89231285911298 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0339584160825021 0.0505877293005241 0.0684354718957956 0.0762770883525729 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42778080345733 1.42958139939252 0.669715077290836 8.893681710011 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0359268565726688 0.0513406499489979 0.0695179197893124 0.07744577966383 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42586627548451 1.42996355077124 0.667165177601238 8.8986050561368 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0453430731205164 0.0591973664357233 0.0720069001615678 0.0797711584871895 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42225332996892 1.43085112669079 0.662331511025263 8.9099235537068 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0550893925953341 0.0699523140358098 0.0755370576552373 0.0829901658189671 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42788915478134 1.42941765030643 0.669979422127146 8.89160335556593 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0347206038448008 0.0504189741703645 0.0680208634491976 0.0755538812692114 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42745774293897 1.42944241514155 0.669486062799653 8.89195743645261 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0382046082630662 0.0523328525098499 0.0684369778117719 0.0757590738223148 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42585667950201 1.42979016230328 0.667445589304468 8.89634827466608 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0456725148478392 0.059488219554897 0.0691524555065069 0.0770811484263702 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.40822908743861 1.43388274489364 0.646350360429634 8.94886902641539 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0767224240958057 0.097209084776143 0.0789913342560029 0.0928460907302468 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.37282548513177 1.44123462976383 0.607092386004691 9.04455416558041 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105280100874429 0.135456783203485 0.0883527565678521 0.111692829813754 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88892535902844 1.89750732334699 1.7171959887296 16.1973446344588 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0065894955063824 0.0312621404119868 0.00190549015528808 0.00927784386082857 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88902452496715 1.89762569141168 1.71672122871442 16.1988411601378 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0069125425378765 0.0313185862230631 0.00198422920006962 0.00929663311927287 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88907612455183 1.89775112151655 1.71605233696336 16.2002504491815 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00748816228962297 0.0314617088300692 0.00196554193158877 0.00933259652853312 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88868557202883 1.89765320385082 1.71539827195205 16.1987402332234 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00923796002279303 0.0322972677032678 0.00202226375132981 0.00948555540440391 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.8863877228687 1.89834542484323 1.70592684589755 16.2075502298805 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0183638877797609 0.040139783797176 0.00330262545162183 0.0111902844729455 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88115112573785 1.8987078356609 1.68894076897738 16.212333301202 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0281663597953864 0.0504255896422889 0.00536681165811041 0.0139566927093157 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88880372265861 1.89766294211934 1.71629733529012 16.1989631926698 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00867302076145162 0.0318849306144414 0.0021628956920394 0.00939142433725472 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88781765450217 1.89746226137543 1.71479360394723 16.1957937880528 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0121168872032876 0.0341013054700276 0.00246134721793992 0.00973979339094161 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88506723207864 1.89767694712484 1.70627661276906 16.197991795474 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0196950934008807 0.0411785338839282 0.00346243383751845 0.0112432582593772 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85432212022164 1.89653096054934 1.62206062459254 16.1846515446269 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0507915867564888 0.0785497827466303 0.0113892083501678 0.0248623787623662 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79329221879397 1.89207449834195 1.4729799628231 16.1327723611029 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0811311425227267 0.122279059934465 0.0256179235937972 0.0547276429546594 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32809769720686 1.32079693741214 1.23099145976694 8.21242164793133 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0141946718638525 0.0169312250042245 0.0179722918333616 0.00431153953008666 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3283231017712 1.32104781413928 1.2306491043835 8.21440136458961 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0147926348983159 0.0170624569516645 0.0180747608463678 0.00432918787286849 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32846501637324 1.32117717828089 1.23065139923741 8.21519139128554 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160724750969954 0.0175053414869956 0.0181313178620092 0.00438212815469598 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32859901006492 1.32124012853915 1.23089332149104 8.21479562058468 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0193606939886696 0.0191747086448495 0.0180937264874105 0.00445802462277834 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32897270099808 1.32106675510546 1.23246983260378 8.20982599732696 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0348099629737693 0.0320378927281517 0.0201658211948354 0.00587594808738134 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32878768957122 1.31995100360789 1.23485153475028 8.19669493593634 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0504873385089312 0.0471960785394082 0.023492563586382 0.00870199181279068 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3281456991436 1.32077609979455 1.23160228754628 8.2110070816595 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0178941278101692 0.0186041850304896 0.0178101656058558 0.00440058872204948 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32889233262838 1.3213043478667 1.23141503169237 8.21437779929264 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0238975888985374 0.0230832634759631 0.0182897654206916 0.00480875735935664 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32909249661273 1.32082293824335 1.23315060427578 8.20708337770245 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.036428276224777 0.0347159192959675 0.0197795566983079 0.00615900831037718 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33099372448248 1.31809585618861 1.23857465088053 8.17293451500497 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0874511265752043 0.0859690000081958 0.0368777923805459 0.0205923081053718 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33202673769142 1.31277493966117 1.24866427749026 8.11033521129769 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138316625356057 0.136736731922127 0.0721315661867083 0.0472433574330938 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157031642080725 0.1416916174856 0.336747226837841 0.412907531748828 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0224123937331183 0.0123510808543037 0.00335941245059018 0.00856040000050502 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157266656092035 0.142167238012351 0.337428175810221 0.413943761532889 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0224639296845976 0.0126504352241422 0.00338788731925158 0.00857476435532917 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157548423003057 0.143322825082951 0.337749749467198 0.414957717905194 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022589291899564 0.0136446869973482 0.00343957475641064 0.00860904491653429 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.158816527266804 0.146849647190363 0.338343951835261 0.417606890556857 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0235359025351631 0.0167588614590338 0.00357505745809952 0.00865868112889516 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170029242824081 0.162016257033476 0.340542091940632 0.427050125318463 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0352041203283642 0.0327097958045172 0.00530960557438949 0.0106471936619398 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.185585740164572 0.178271271892368 0.344459612930678 0.438749634838139 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0504335181252094 0.048993502930377 0.00870586166875217 0.0132013533563277 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.157980825429715 0.145254395482441 0.337657969811345 0.416067938976308 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0229819328357117 0.0153054455493066 0.00345655284965026 0.00849189469378206 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161075054722045 0.151043410626777 0.337520384476689 0.418968791892895 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0262947916480762 0.0214242317057387 0.00382406663355259 0.00912747939771329 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.172342428271201 0.164602663958819 0.340614798846812 0.429534302300351 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0371867238148588 0.0345079322583741 0.00561815439860278 0.0106299966728488 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225451858277396 0.215177404777366 0.354618170821665 0.463146173801354 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0895192703069408 0.0884392400953254 0.0232170792470799 0.0265351572987718 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.288565377647373 0.264347687053236 0.383740657762976 0.501616322859556 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.14385033483453 0.142234996621558 0.0581464342227373 0.0604500423599659 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.348973041538429 0.342179765860818 0.292019947353851 0.749091610508216 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0211920162741812 0.0269895128510348 0.0144788108277172 0.0211046658996662 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.348732442411425 0.341973904470852 0.291884514253856 0.748354605475542 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0215104556806806 0.0269891574250054 0.0146382852119205 0.0211927618655468 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.348718918589829 0.342079318547517 0.291946654838177 0.748493106290269 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220357576881568 0.0272233739317173 0.0148748325802626 0.0213220024841362 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.349233303295837 0.342799696255062 0.291794399256952 0.749153920133213 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0233561569338485 0.0276112147584465 0.0149380210308128 0.0208316543535459 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.35298829694325 0.347104456759209 0.290904924829355 0.751418557120266 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0326574067090353 0.0352852538802798 0.0172737822856975 0.0232348267261539 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.36002289777122 0.353721369055752 0.291749156515621 0.760173843783008 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0426028406798413 0.0443148697531791 0.0198549695852207 0.0249508046318184 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.349770250906847 0.343338011804337 0.292135560753714 0.751160659479723 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0225550367322123 0.027843636210831 0.0147798525908965 0.0211148893370556 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.35225134859082 0.346323010804044 0.292795110417986 0.756558246178178 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0261748936542867 0.0307580554567732 0.0157402473428943 0.0220426871136389 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.356471453103519 0.351135873830232 0.292645725748787 0.761132788759662 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0336053367075201 0.0378156624505969 0.0173006625812705 0.0233863072069436 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.389590112041663 0.379964986891895 0.300219199437369 0.811431020248316 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0686489650528325 0.0706183432465967 0.031347488769302 0.031906586992114 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.443224892112714 0.417720301634497 0.329916159791979 0.9021523492976 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104663089241026 0.104755787215736 0.0541906761593734 0.0497168992101114 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85614801432608 1.87280262789768 1.62056005013065 15.8888363094303 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019906743364233 0.0692675901418282 0.0352758769169568 0.0682858232891572 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85614796934043 1.87283869264918 1.62044160641617 15.8893854822561 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201592812095325 0.0693793108030495 0.0353461433908496 0.0686380996357816 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85612780995709 1.87292930023886 1.62023823747093 15.8909555839848 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208926855322138 0.0695179035656064 0.0363362812936841 0.0691658550685751 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85584008079071 1.8729779201858 1.61928853917589 15.8918393948764 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0224890727775293 0.069902264775846 0.0363653860963292 0.0694701148553027 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85268506015356 1.87367300080598 1.60913305201194 15.9038741405391 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.032055844702344 0.0760414370383176 0.0390535401218965 0.0754290400954604 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.84628150199827 1.87504778977231 1.5887087147826 15.927115943412 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0420237224083436 0.0855310561631383 0.0393082406159248 0.0801192378731934 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85593103187762 1.87288198480391 1.62003472383826 15.8901226510499 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218218761634052 0.0693302085875097 0.0362155944435268 0.068415906778593 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85525648133773 1.87324452742499 1.61793257336227 15.8964619306174 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253909624082294 0.0705230000868844 0.0368945514583544 0.0687402220219813 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85207197883138 1.87401544086155 1.60830238511296 15.9095214085522 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0335827030527029 0.0759146326578854 0.0385797268856304 0.070880083530875 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.81693133779584 1.88107578370574 1.50308511771138 16.0267633650682 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0685447132263936 0.11308055876323 0.0469838393588316 0.0946222458932097 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74893856425634 1.89514829163142 1.32647471077674 16.2644489993605 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105705387311127 0.161829228277873 0.0751826634002346 0.148824799276658 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.169990248466177 0.16500636926862 0.122849214085442 0.229630286264139 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181222182204966 0.0200775666674569 0.0119079200590329 0.0216124687770218 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170009098482354 0.165155624899962 0.122864012045194 0.22972408966555 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018263116833818 0.0202876797746293 0.0119338258849415 0.0216268982507068 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170249326879551 0.165714547427238 0.122937656823678 0.230233424704569 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186232373825857 0.0206530026845118 0.0120300807265486 0.0214678965802569 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170974819905372 0.166981962829192 0.122993936299508 0.231076810297977 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0198150585786508 0.0219390221276863 0.0121117661452311 0.0215067384546639 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.177137995088718 0.173506579392268 0.123438276857885 0.235738222490276 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0279761975754592 0.0284785043673572 0.0132086188727109 0.0211182059386548 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.184270438642887 0.180256073046443 0.124069121453402 0.240654762455129 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0371523335403027 0.0364580034806801 0.0150708491027827 0.0219265223048221 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.170660978450675 0.166491914679788 0.122958671401013 0.230708502366215 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0194475403444364 0.0214607983151029 0.0120746006999774 0.021484507445156 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.172765495674377 0.16895618628924 0.123105161763051 0.232417991236984 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0224990067277785 0.0241751827190182 0.0125026189741628 0.0217047491123888 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.178391212291242 0.17444199034172 0.123521619193285 0.23630649128157 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0298574092968707 0.0300426959259044 0.0135088362318925 0.0219848375002009 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.205445734901965 0.197869770081077 0.127809632752237 0.255497419386575 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0610457825365612 0.0581228954484158 0.0219564995397269 0.0278474932723058 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.238008834242281 0.220370063992793 0.137593917556222 0.277429478685029 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0911522063781945 0.0865470984349091 0.0352756994225883 0.0376768139341095 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547440408211005 0.544832125018548 0.953898469715777 2.15701592593875 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0204946595445279 0.0197685642075292 0.0287330216157587 0.0135226323294678 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547460657561187 0.545028307218398 0.9540715108879 2.15787564840919 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0205662997272854 0.0199411097352678 0.0287602899111015 0.0135158091336052 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547547635575779 0.545460167484325 0.954013165226298 2.15886845441789 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208201628924981 0.0204471573806896 0.0288252928192677 0.0136375489562501 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.548039251766657 0.546526125068161 0.953706866694879 2.16077660043101 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220487256457928 0.0219046877775378 0.0289978530326713 0.0138524023856998 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.553697303344458 0.552626603436507 0.950863184034932 2.17333009864276 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0306021306776103 0.0295701008307141 0.0298522371818834 0.0155281326597485 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.560611960247421 0.55922568762339 0.946451982622509 2.18772438245106 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0406785701049655 0.0385718594300043 0.0325953275308068 0.0174955869907408 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.547849380032145 0.546062451338821 0.953749087498215 2.15954736454659 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0215288172692992 0.0210830050758394 0.0288822428608778 0.0136507543293201 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549664842524301 0.548280403426726 0.953326670692978 2.16419623331019 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0247439342729868 0.0239838098799208 0.0302268251717611 0.0140184306673403 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.554730210591271 0.553131195779826 0.951131807586589 2.17367238082403 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0323760030121818 0.0304886698743677 0.030987028290271 0.0148073326675363 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.576653582428231 0.572243139137951 0.932246515905264 2.21069917136139 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0668236429263203 0.0621552983631113 0.042399437720311 0.024748610267702 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.596956287981149 0.589404902758173 0.898403287831296 2.24330560267114 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100414002321528 0.0944680950178813 0.0567977028428838 0.040307429172135 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142136944814531 0.135538451422181 0.12574552136085 0.194471003642845 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0178268865632093 0.0190931279889172 0.00907222527983273 0.0212383745645659 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142427542694565 0.135991629277945 0.125937197447452 0.195036822131575 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0178228571327415 0.0192628746682896 0.00893237183833018 0.0211034879932364 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.1427631999631 0.136673102651396 0.126066960403941 0.195614909195683 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0180648569408308 0.0197469857175459 0.00898045061722879 0.0210104710668619 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.143963202262722 0.138570050362473 0.126412413736127 0.197153979284238 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019347973735981 0.0211355739883497 0.00943143595545721 0.0208043244870733 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.151678680903418 0.146474782519399 0.12728362578922 0.20212201227247 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0277253029670302 0.0291378503830036 0.00988097268090131 0.0207396809609469 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.161175620102045 0.154761606866766 0.128467214063251 0.20760015169896 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0381116272985781 0.0383327963228043 0.0116553084970232 0.0226696771370362 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.142541736022357 0.136915005632438 0.125672481919107 0.195072250819006 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018852041113982 0.020498242454948 0.00941828677931095 0.0208249777015685 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.144653396545207 0.139622168290283 0.125613569859354 0.196353566378644 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0217915304136823 0.0236559884082002 0.00985375660235557 0.0212626312956881 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.151303099880178 0.145746574717841 0.126151754086409 0.199766974403687 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0297822441556037 0.0307954985930492 0.0110232809746029 0.0223836531727328 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.187961074812242 0.174261098410303 0.134205783180809 0.221863063083004 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0656368120792332 0.0608104244965223 0.0207801829787867 0.0296860542059193 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.229422439127801 0.199823388405531 0.147231031905411 0.242242961298068 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.102451510761053 0.0912344700716157 0.0398597800371875 0.0412841360564803 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.316503429792605 0.310445724503354 0.398324139177934 0.773531698574791 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164822776866123 0.0112360953585572 0.00594767113608291 0.00174721548578175 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.316753619185176 0.310856123284281 0.398604056250509 0.774440661587423 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0165582733852983 0.0114251630205501 0.00592037972469663 0.00165583861006006 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.317124134197587 0.311704312073498 0.398914315835641 0.775889200094898 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0171206811191105 0.0123424601333098 0.00602883563858466 0.00182461047595939 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.318699928311099 0.314086425421465 0.399117152252012 0.778793133503531 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0192428337632836 0.0150664547327598 0.00609277618406508 0.0020666013133664 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.330670456163738 0.326324317019058 0.403256525235056 0.796971951754685 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0336606079967143 0.0294260763654246 0.00839015202273437 0.00353957200394064 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.344152108112202 0.338574384601994 0.407996986494927 0.814359040001618 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0498191568360073 0.0451680434556349 0.0127384544044516 0.00677888422664775 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.318168523153953 0.313340575047141 0.400042840633648 0.779178525068253 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0184897067232042 0.0140985335614013 0.00621861733827105 0.00210008365575291 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.323188030176741 0.318924010046701 0.402341848309122 0.789302987770113 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0236971905649843 0.0195065223401692 0.00705376046575453 0.00273181435610506 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.333776168066479 0.32903163628609 0.405755221899215 0.804190743435646 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0358739979663642 0.0315105504147267 0.0090433071146929 0.00405545840463476 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.384952371072865 0.371608251733576 0.434823988755737 0.87547523117857 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.089318673551407 0.0832813970694908 0.0305115793521131 0.019617742322059 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.452665954343925 0.421308182379614 0.505642490293146 0.996844210422686 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.14220704883641 0.134518296706336 0.0688531444733753 0.0479720565909326 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42831724786515 1.426963676998 0.665787929508478 8.86046683940938 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034675385144096 0.0535821219961393 0.0680637377561089 0.0760328753817469 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42835417555223 1.42707022176755 0.665680076095584 8.86184464237135 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0348987953893854 0.0537353325924935 0.0681984386134339 0.0764057969007726 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42829487819393 1.42707596243546 0.665505531136348 8.86192525960952 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0352717778335653 0.0536739753600155 0.0680206294059738 0.0761719101893254 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42806533175174 1.42710945254729 0.665016212832652 8.86237067268982 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0367814867957089 0.0538998664691903 0.068186456484205 0.0760890256410531 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42564939755137 1.42743430891317 0.661239791665427 8.86663748468498 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0452705955754534 0.0598795493642276 0.0698085316250674 0.077404314020326 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.4208391987732 1.42826358333162 0.654564354589201 8.87739961218301 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0545732757898234 0.0695331163710538 0.0721484155604196 0.080232894716281 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42810002418957 1.42706449638199 0.665409440007917 8.86177138341815 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0364851243911706 0.0537624749692178 0.0690478414388156 0.0769557558917867 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42748884983724 1.4272239065658 0.664547346955928 8.86385038558146 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0396767377827202 0.0548360690417061 0.069744990873667 0.0772732343527575 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42501480143447 1.42768125824333 0.661394094888006 8.86981221078472 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0472757164439224 0.061020728056481 0.0712455464223563 0.0791688334846876 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.4004681441405 1.4326002576157 0.632132311915703 8.9334690379256 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0777068942904828 0.096645690607171 0.0811571860673289 0.0918186054860013 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.35368986854819 1.44277234997078 0.585148178834439 9.06698059273349 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108121685896872 0.136936956048335 0.102358398357235 0.12076390696125 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88835692475974 1.89483884888642 1.71283041026013 16.1504853169252 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0110905721925527 0.0329917184851786 0.00365203449128793 0.00912135672196948 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88813387759696 1.89463272039148 1.71270826512621 16.1471665183655 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0112896296928731 0.032954181977685 0.00365753795451241 0.0090791968024114 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88800716488564 1.89461829363638 1.71242571403005 16.1468659375478 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0117356139385945 0.0330644537313654 0.00367265858070945 0.00911762551256826 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88757675141883 1.89461504736363 1.71150615763536 16.1466335169777 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0133304377188681 0.0336456264449744 0.00377302461063814 0.009241427811433 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88394374844105 1.89496319302004 1.70014927368119 16.1504828962294 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0207238800057068 0.0403839561759434 0.0042149401704838 0.0107098395371384 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.87654319714301 1.89503834473364 1.67847647547407 16.1510591082154 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0293795169225494 0.0500754802173526 0.00600181303043023 0.0134035807071535 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88817667987327 1.89507846433541 1.71174022102637 16.1531580655084 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0124833051625528 0.0334211731256109 0.00347373222888058 0.00920289662194919 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88699228628397 1.89497424162854 1.70974348523376 16.1513140706793 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0156782170251817 0.0352463077464326 0.00389159518011673 0.00953208689339095 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.88286330473221 1.89484565021892 1.69999460865459 16.1488945328861 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022091052127283 0.0415446798317783 0.0049361696937437 0.0107758331571228 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.8426884905901 1.89479062801691 1.5889609580485 16.1514572441537 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0501767742614498 0.0787846171473526 0.011905544978877 0.0259996136575638 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76348023496451 1.89073316042579 1.40593319598849 16.1094259141386 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0817670500622295 0.127319828742747 0.036371289539345 0.0763211200664143 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32754966713488 1.31832574251877 1.22861969930602 8.18277173941624 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0165945395589472 0.0195825979727401 0.0198497468916104 0.0045690201697254 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32762717327648 1.31841847071206 1.2286131592691 8.18340215677081 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169463719867905 0.0196498159924028 0.0198723961567958 0.00457296437592947 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32793631484736 1.31872380290965 1.22849858864597 8.18599246197788 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0181657788616378 0.019956699932591 0.0203965306648671 0.00464897418445045 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32813480356006 1.31888562011859 1.22854194524926 8.18648443665877 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0210388528249157 0.0212902106680437 0.0205428930829045 0.00477558859248569 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32866477692682 1.31918898730929 1.22876499384808 8.18541648629173 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0352512213232115 0.0327250582931591 0.0223688923762801 0.00615930125358203 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32814849301755 1.31812583156207 1.23053410301548 8.17239140906914 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0501889275292603 0.0470433794880363 0.0262585446637605 0.00887089999982263 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32702673708409 1.31776184339483 1.22951675889178 8.17626443605018 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0197382816129915 0.0205642998684532 0.0197879618529539 0.00457719448076295 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32790743671016 1.31850931140802 1.228579138493 8.18162497411646 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0250553647283545 0.0239144811602987 0.0198438327893439 0.00479498065282375 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32913562680171 1.31931345675414 1.2269378208658 8.18608761252028 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0373168151139884 0.034158491052387 0.0220720222523661 0.00617837435996679 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32680631455684 1.31554648601912 1.22699937054008 8.14190145753419 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0873125574245688 0.0813665153460246 0.0415378960153319 0.0192074591229935 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32074122421655 1.3096664311343 1.22478570111863 8.07131436820911 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.136892590057888 0.128905745719978 0.0779191887748351 0.0434807687594139 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.200051560189621 0.184957984431096 0.400690444171913 0.530316886512364 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0383381462116122 0.0414132318181881 0.0144237457588618 0.0516980563543273 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.200357195151731 0.185265844844306 0.401185966277567 0.53059175835531 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0384471654155682 0.0417670376289523 0.0145692524357643 0.0523423316132069 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.200435159818375 0.185598630589646 0.400821434076367 0.529686039838221 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0384823615256848 0.0422460712255657 0.0145323439263125 0.0523054045673505 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.201981242317604 0.187313839856005 0.404530810537139 0.529564897338848 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0390878218071623 0.0444416103792942 0.0149991647680699 0.0532538588113207 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.218612503111272 0.201802070947206 0.434537387858664 0.543989261915963 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0472536334008943 0.0591548872831806 0.0195910279813541 0.0605864222095414 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.243182437040356 0.217736618162218 0.471832223712904 0.556895933605425 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0622917417480845 0.078221771130023 0.0317842551444805 0.0769528351284905 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.201378841874755 0.186827387538829 0.403016020916835 0.52951823560216 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0385963800974247 0.0431045666420857 0.0145774492397331 0.0521806061303459 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.205509584184142 0.192081758120828 0.408626820340226 0.534800033911139 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0400103176716779 0.0476251959691151 0.0150939527455447 0.0531961809824154 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.221967396356371 0.20459260624532 0.435590268748737 0.546190442870309 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0489062014556487 0.0611234852869679 0.0223448917519558 0.061565658113079 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.319519731230272 0.257377817232869 0.613004438933224 0.59450214245092 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105253833482018 0.127298534761327 0.0674948388114118 0.135605385715212 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.441099920093882 0.309475440303954 0.894207721372663 0.640813144074943 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.173216206126765 0.206945374690548 0.144935723792953 0.289945298034759 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.48348395758116 0.500327410438067 0.466009019795409 1.56226325021301 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.057608753474529 0.102564011508547 0.0657225303696423 0.185385799738605 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.483557002390204 0.500231374410903 0.469094058795736 1.56199201704018 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0577937771956532 0.102816506447532 0.0660983151373971 0.186803568453945 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.484751103215014 0.500613547669677 0.482487460765931 1.56335863210364 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0577986586425677 0.102962479931957 0.0662503634293119 0.187211766793588 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.488030745911302 0.501567577816406 0.524032518021489 1.56633224216323 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0583667284313028 0.103200459725976 0.0665803180306973 0.186533402578332 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.508291003511138 0.506710456429363 0.713110147928869 1.579125339604 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0649764514785661 0.10801370507688 0.0705052862053881 0.188030460530298 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535750854522993 0.514273469601977 0.937634793460933 1.59898097346156 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0752521531468469 0.116068237479215 0.0780394889333485 0.195390193904825 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.486150521856604 0.499953021344334 0.49649208513342 1.55952814012676 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0580259408642842 0.103234416845759 0.0666786003529775 0.18827243124423 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.491108159550125 0.500323235401362 0.531073359097143 1.55849720356735 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0588503688692835 0.104354802207362 0.067067459484973 0.18942031207686 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.50986590380277 0.506587773204056 0.669326271952724 1.57596465522107 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643338556600052 0.109479044154553 0.0707370189367047 0.19366995879916 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.606084659834067 0.534800931254612 1.41727255719933 1.65361514772476 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104348515887109 0.146252146465682 0.109488543997882 0.237172977644376 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.714172931622097 0.574422021645773 2.18381244177619 1.78564632447637 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.15760395718249 0.196863550179607 0.18651677545503 0.318563482360495 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79696757178936 1.81670665458534 1.50873896524696 14.9990832558307 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0530636300771652 0.129420740701069 0.116892089670446 0.265672771981535 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7966095411913 1.81688882616966 1.50786986895358 15.0025849426406 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0532810612512733 0.129578493961679 0.118141104998654 0.266754547762036 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79609365978108 1.81706810111979 1.50916752803881 15.0064313565081 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0539879163503242 0.129534939797553 0.120805460822209 0.266492380732239 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79474007694532 1.81754509028922 1.51167107258217 15.0153669119345 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0545797816939975 0.129124022388873 0.119689065432869 0.263945842126733 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.78414633906711 1.82125537303201 1.53621277797902 15.0802110724173 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0686158524664644 0.136804334195939 0.154346703459103 0.286881187354239 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76892633958322 1.82761015514297 1.58441999833181 15.1920906822899 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0866178278327329 0.149386666597916 0.200822979380592 0.319607213223929 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79532489172665 1.81719922415 1.51089066854181 15.0078551202076 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.054688005773836 0.129173068756594 0.122429577512574 0.263717479534475 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.79260817524958 1.81877447020803 1.53681736384326 15.0363187288215 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0597104511066841 0.131059068973472 0.135197892057432 0.270074279587137 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.78229562622076 1.82318630689519 1.53159365979404 15.1150764983205 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0716817766456897 0.137557674605989 0.160696199064649 0.28485167998907 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71334723144367 1.84743595107719 1.61798624598233 15.5382168342202 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.138552254012379 0.190521189843311 0.360064734814147 0.413061320168722 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.61778007501248 1.87913122207299 1.74426123604317 16.0974827626168 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.21973096751447 0.270511615733795 0.651467372915373 0.638260177168559 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217096347940543 0.20705721419957 0.157922332629202 0.325140130611219 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0391743548128129 0.0373243568517448 0.0353424230286544 0.0371982058968099 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217195438750685 0.207180899827557 0.158147806117349 0.325187171177686 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0392380272083336 0.0373593279071209 0.0352929579575052 0.0370412212947853 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217412975196178 0.207425153341014 0.158570933008787 0.325317382077242 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0394025800525206 0.0375629487605336 0.0351992397784592 0.0369807564622952 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.218087010981065 0.208371591403833 0.16000030399115 0.326175691333924 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.040134044251443 0.0382650886624983 0.0353192400782079 0.0367264403542867 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.225181326294026 0.214221336327214 0.171766921732463 0.330666315501224 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0469100251000328 0.0447361289259249 0.0374150827663851 0.0387006809302088 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.234865048304907 0.221260510786832 0.188516574009391 0.337734786361559 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0560914131878646 0.0527117362579734 0.0411806077471248 0.042324848292524 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217916164407976 0.208244435660898 0.15950348615976 0.326388342818768 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0398325590106616 0.0382361526594667 0.035598379836974 0.0379910607173807 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.219829171841585 0.210573995651431 0.163383544419457 0.328952232015625 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.042030150714385 0.04058243271176 0.0366121863573536 0.0391115407132515 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.22619892310908 0.216286864059493 0.174908640392778 0.335833245247834 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0480362408747529 0.046283942511818 0.0383755647355845 0.0415035654846316 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.264284399505298 0.239664315039313 0.258006776413014 0.362186352105059 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.078471058884825 0.0768887469628019 0.0542422454338569 0.0602435420118808 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.312218074011952 0.263888937537811 0.343345896034081 0.394331714993378 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.113521173520592 0.115539076842459 0.0849328829156056 0.0993723747136478 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.551501308236723 0.552769022960587 0.921223790793405 2.21198440310915 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0459527110690085 0.047651808459314 0.104732194485287 0.0602088425427022 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.551633827818063 0.552947074129704 0.921171309060102 2.21251271934863 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0461549431507501 0.0476255466474996 0.105798437807287 0.0601080902853172 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.551676041375533 0.553198520587471 0.920951844538182 2.2131134907725 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0462790583738247 0.0477477132420838 0.105873345848866 0.0600300368076717 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.552441161011914 0.55446517687326 0.920096386847277 2.21672189253864 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0468548388994711 0.0483648700358507 0.106064731886329 0.0599789607564605 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.556696475456602 0.561020262305575 0.920915523921735 2.23825734478311 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0550861995437543 0.0563118670512582 0.114500155591701 0.0659955727765249 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562537922866827 0.568031867733143 0.919255595246971 2.25798417139751 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0656258476205716 0.0646195712942931 0.122663379158191 0.0702595105671494 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.55230123732 0.554238949371982 0.920562710822197 2.21732330089145 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0470990953850719 0.0483249324453064 0.108205148417606 0.0607346516059326 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.553418069902985 0.55640611492152 0.92084771831456 2.22330602915966 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0489339741384249 0.0504256656941107 0.108994127618274 0.0617664253542626 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.557233186404454 0.561187392133256 0.92604736106087 2.23703275848921 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.057021567761439 0.0569830435988261 0.117465145836621 0.0660559482096146 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.575633503016305 0.583019046966836 0.920026800808407 2.31304840659472 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.097560426403311 0.0891765238606831 0.16654253258097 0.0927059452621188 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.597284446178715 0.604770986166978 0.914593047003753 2.38893823724134 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.145562406303309 0.132778573253053 0.249886125253604 0.148085331700282 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.215124537574904 0.203434067097719 0.199074283170319 0.34973121799182 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0405947079322488 0.0411702314094377 0.0319978048641674 0.0493875896416698 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.215320932151706 0.20376533263833 0.199232215584177 0.350280519755693 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407520240985954 0.0412987153965707 0.0321654067203225 0.04945841051374 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.215400718216951 0.204103365013586 0.199356585649319 0.35054380254025 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407151473622509 0.0416131766381226 0.0318862827385927 0.0498019271641688 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.216189021562448 0.205351250796377 0.201183896068888 0.351723657308361 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0410401033077685 0.0427352274976627 0.0316073007767553 0.0502605047662425 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.22460072368561 0.212965091894019 0.208590094772189 0.359554429797496 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0472425821459089 0.0505166846730591 0.0342421247423281 0.0541024605827189 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.238407025916169 0.220979731899231 0.222497645731056 0.366631935714181 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0569894453240714 0.0595340165704467 0.0383628298283671 0.0572989229125135 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.215462645873532 0.204887451501796 0.199541325658041 0.35134810934173 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409779784458687 0.0421749268996021 0.0319135173952393 0.049503722310296 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.217939222936643 0.207884368200174 0.201639166200317 0.354943577911308 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0423947526770276 0.0445253252372605 0.0320633707326403 0.0507769680407918 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.227419202339976 0.214739311866929 0.21168082747646 0.361896760492974 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0489662211243687 0.0522184383356247 0.0344580667365946 0.0562040775828561 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.288030415830112 0.24178177554313 0.310552648711482 0.387552816130685 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0890723819636911 0.0901000571551112 0.0582785612815699 0.088280545950426 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.361615600107426 0.265992719113235 0.43198559310473 0.407378264072791 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135885029777733 0.137176594515943 0.100374425429813 0.151451239185269 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.344984769920848 0.335936606507476 0.402967275710758 0.837236680663097 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0340822286809965 0.0313837636240538 0.0179309285050932 0.015895124991636 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.345475633144512 0.336288106574103 0.404103464685116 0.838463286172533 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0342574602849119 0.0315104689085411 0.018096982537005 0.0159870866378898 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.346027762141762 0.336836216725234 0.405535847935126 0.839592125195635 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.034483916918318 0.031862669492372 0.0181533352270249 0.0160169124546849 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.347256356058238 0.338009147816283 0.409065148684982 0.839900705985181 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0358622403943788 0.0332944259140193 0.0187669297945589 0.0161958943480113 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.361221608916193 0.347068870937955 0.448272931968346 0.851053374353898 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.047821123216886 0.0448835737240677 0.0232950329664964 0.0192772053659019 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.381604576548389 0.359512267780716 0.496656570653675 0.873561835765891 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0640707901097139 0.059384375601767 0.0316280594770773 0.0245050363441106 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.344392748219562 0.336352714527109 0.403850386795963 0.835208364356165 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0351502351882597 0.0331127160028537 0.0183622928721298 0.0162869181138255 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.348145910249834 0.339453874555802 0.413546775221737 0.838339084460753 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0384412063004981 0.0371504953061958 0.0195646944758428 0.0173122739983216 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.36201272594297 0.348778493823066 0.45724486348605 0.852763228977505 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0496971937569052 0.0483656847538525 0.0248646326681395 0.020931482644167 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.441056338310765 0.392611819784929 0.688629684265844 0.936066778624871 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.106685220880856 0.103557205700852 0.0678564025805441 0.0540351257767717 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.538959604205262 0.443248880833985 1.03975914269031 1.06479368160638 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.171459216884677 0.166829604534065 0.153933157442011 0.127951161218555 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.50470141627857 1.49662147377976 0.698405912798865 9.70750493466422 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0921800222142043 0.106685347577476 0.196819793463942 0.203796817393011 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.50456891054977 1.49672329774398 0.701234014587699 9.7088621583291 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0923726112819206 0.106585064282122 0.197271738924092 0.203402353413272 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.50452513672144 1.49695203020048 0.706238976809884 9.71184947407738 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0928624877931105 0.106710509703187 0.197650433836669 0.203631778095225 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.503787866334 1.49756146108528 0.71481582955461 9.72085998954297 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0939487065222515 0.107060539016578 0.198360779237693 0.204569305391467 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49708464444897 1.5007725452981 0.756817401157861 9.76541241251532 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105477441499907 0.112716974953896 0.214165673715612 0.21417002373947 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.48758110964525 1.50556279114302 0.82074208423423 9.83125529868786 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.12066998495552 0.124405962442486 0.243062588268037 0.234526650658153 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.50499894674665 1.49681313513388 0.716415356723121 9.71003688700396 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0938585949167843 0.107066966240156 0.199029905328815 0.20484869232567 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.50380301421908 1.49773603921773 0.735172360771785 9.72298434232944 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0970566339855229 0.108129027056464 0.203269540748596 0.207424740219994 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.49910193159423 1.50068700248381 0.784575132970068 9.76434066957372 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.107361939383108 0.113932897802377 0.219307462214326 0.218355743776053 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45583313252891 1.51981932370871 1.03019986238649 10.0321448254273 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.161818298882396 0.159122079737485 0.345642564525074 0.292812919563574 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38866328861019 1.54494401722171 1.27227888961155 10.3903838798197 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.226528446269934 0.221784163648684 0.555388284449721 0.416093376601007 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.91857607269814 1.91715213163733 2.12200202051266 16.9577591844313 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0393277694425477 0.066054078140592 0.0295682021756501 0.0432688294073762 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.91872401639084 1.91714683942739 2.12366206220942 16.9571485776738 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0395114567212784 0.0660270238211 0.0295552619983604 0.0432056377204382 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.91916220808093 1.91754188546887 2.12664891069385 16.9618365412522 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.039772785554383 0.0661119582369997 0.0295406892549747 0.0432681372997807 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.92006519725495 1.91802181471643 2.13952736733542 16.9671873209664 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407638516850352 0.0666002061479341 0.0294881003937394 0.0436013390839321 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.91965597158375 1.91764030922584 2.27570037717806 16.9628105708844 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.050579314577103 0.0777461819147943 0.0427242215316718 0.0801462623503729 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.9136207504088 1.91762002651469 2.48312406788969 16.9698489650109 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0622876143119963 0.0944330644410034 0.0565478022835637 0.116494971122386 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.91861934279619 1.91706760605351 2.13751034558022 16.9555080423888 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0406358747911417 0.0667506640208693 0.0300771130379573 0.0452878847298101 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.91887145277741 1.91783889903218 2.17166073346104 16.965065028035 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0438449078369168 0.069885868523424 0.0342360965926701 0.0573406885240543 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.91418751820603 1.91712648151923 2.2464646132807 16.9562452084907 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0524273969574518 0.0797237508062819 0.0433562946976449 0.0815552370154254 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86184510188785 1.91533329102484 2.63718639986765 16.9492252364481 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.100222883228549 0.151613155154955 0.120311077268301 0.268502662466108 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77639121946544 1.9128153545726 2.97275333791253 16.94866298909 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.164212456472153 0.252530681385941 0.281166465372767 0.594808965403656 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33140202463175 1.30961441581647 1.2197449615545 8.06313087315115 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0395416311147869 0.0422735930422254 0.0701197243032959 0.0295885427786879 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33161787248507 1.3098278518987 1.21973651489549 8.06482782783558 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0396731072842519 0.0423009866292393 0.0701120347295085 0.0295655841100971 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33190009636598 1.31017226502616 1.21960687940219 8.06744220741738 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0400705085936074 0.0424185779297675 0.0696344736076584 0.0292757237609868 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33186565054987 1.31051599847093 1.21997427030167 8.06904390715322 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.042156597934424 0.0434829581914355 0.0704567029570358 0.030679655000369 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32993567240899 1.31181846522242 1.224357896225 8.07798603256755 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0551841927021864 0.0509085972873971 0.076152280444726 0.0329178612102356 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.32612926695059 1.31240835114429 1.24104764079268 8.08122795543165 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0717366202882968 0.0647893051841839 0.092104706355961 0.0433367956845449 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33183510945635 1.30996699929527 1.21981274365176 8.06487273888679 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0418137221102238 0.0432961359427485 0.0724420092034506 0.0306720605632189 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33196982887101 1.31046870629249 1.22095392109129 8.06728824704175 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0463764298364175 0.0455560977250148 0.0742783107635548 0.0324004216474981 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33061857221161 1.31089616651668 1.22615727499405 8.06823016156857 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0571775367027733 0.0535472214920921 0.0788917043727894 0.0366953047773434 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.31498529002471 1.30977733129644 1.26889535094192 8.0491425465644 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111192471334612 0.100082874021144 0.128657623774237 0.0643329648806198 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.29225576388439 1.30797929478876 1.33389715697467 8.0224683469833 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.177412460165322 0.1543363451979 0.262388025951931 0.120937853262886 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.795235835656715 0.806913352467339 0.39006774226267 3.25643792464844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.491860955641634 0.491034717115051 0.377797918712443 1.2736957338509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.79586842073936 0.807106006737109 0.390832843066378 3.25717212253072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.492036436011463 0.491452512777239 0.378261446974512 1.27517425520683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.796018033724114 0.807511940625171 0.39203940151255 3.25999968050376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.492652370896351 0.492031856167446 0.379820236058741 1.27713355761151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.796299351766293 0.807924290325528 0.393863833881288 3.26196666978498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.493026665809578 0.493240278102329 0.380694030285153 1.28158450130741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798519458989519 0.810090049336406 0.401331535696162 3.27372209891849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.497801982261818 0.496782836327049 0.391529840170552 1.29079875172475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.80096918989694 0.811946824600323 0.407326686076906 3.28150207340252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.503306587798308 0.501233474935397 0.403637988480633 1.30142965404402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.795647385921411 0.807304938151657 0.391923405278256 3.25750692914975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.493144120611396 0.492341097096799 0.380761316146964 1.27653999252234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.796330654706773 0.808160255220538 0.39370768095366 3.26104884839287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.494884386447758 0.494033213234354 0.384772031752374 1.28005880800733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798221460284985 0.810024753578565 0.399740065366355 3.27022611896709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.498478336959834 0.496967323279893 0.393593654299982 1.2881724757116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.805639430489592 0.816261911420116 0.41957581986551 3.29460108819601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.510888418750322 0.511119860465841 0.418816858079296 1.3314019198495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.811713564847104 0.822142004707211 0.441150788813501 3.31656395402537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.523808795196559 0.525562581191481 0.445381161880521 1.38679346417207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67671040364685 1.73542021546742 2.30003265454228 14.6725436198622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.20377558393372 1.20470316240167 2.38519848410786 7.293200385271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67731659702055 1.73628113604921 2.3023861365933 14.6815434721771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.20645097671572 1.20678463597399 2.41062397360177 7.31330429294735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67815837104177 1.73713570335217 2.30899546574561 14.6913620261115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.21006446489479 1.20955791454129 2.44025666383483 7.34250721906775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67911192844788 1.73897447096121 2.32011394102847 14.7150540421162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.21286488136125 1.21477462180116 2.45808637791044 7.38299363233879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.68479164623803 1.74250363269542 2.3673991110099 14.753301929927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.22760265805625 1.2311014414953 2.52950007769854 7.49482072741016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6896291132215 1.74565123427426 2.41449118437594 14.7869701538619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.23758945506358 1.24154747951876 2.57458476188088 7.58026174155055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.67960457200546 1.73695643653416 2.32088602083552 14.6840781087197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.20885097717188 1.21281958245203 2.41424359574976 7.36164999069578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.68165771757214 1.73844995746682 2.33970969671608 14.6948806091514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.21885674872703 1.22309162434761 2.46711652451886 7.42898372886672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6848254741892 1.74110336251909 2.36804535792441 14.7271499936307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.22732077725921 1.23124098107112 2.50179272916239 7.50006685800939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70229704198773 1.75081426910138 2.51722740613408 14.8196186391698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.26475587121222 1.26884884292543 2.68516711862703 7.77107812540571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.71614699017761 1.75910947187495 2.62919900087466 14.8936356109381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 1.29862202010302 1.30111098509931 2.85142624440323 8.04243233074159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.758725089219027 0.694979363402224 0.595190516407137 2.93029171806817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.318854082176696 0.317768794900127 0.425843840434725 0.570962580023766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.758026042144063 0.694875734058487 0.594326472892293 2.92859551948428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.320068839088079 0.319677081621555 0.427541397058993 0.576655917639517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.759120789743642 0.694987216298104 0.597032236269274 2.92889713809584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.320735139663118 0.319790091523427 0.428672680512477 0.575910932107467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.761301830340572 0.69575790803195 0.599882831596117 2.93209881931196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.324526549024919 0.322054196939372 0.438132879005774 0.57931806982481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.765789481090981 0.696635436252919 0.620953810865822 2.93418501677082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.326793490474083 0.329833350536611 0.441031385097638 0.602773073952404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.765312806048515 0.69701221881476 0.623538444892611 2.93265271221096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.332613792710044 0.335797314418548 0.454439155456134 0.622802656727057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.761181130379918 0.695847616904814 0.601178704663927 2.93370858051802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.323203969266157 0.321764908470895 0.433378825367344 0.5806975349998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.762164728015039 0.696048376358758 0.607461964110577 2.93372322723748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.326332607842971 0.324173759517687 0.441469614500431 0.588331358644583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.760879274611087 0.695946693971748 0.615435111919754 2.93021955801793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.328726849968354 0.327437066331337 0.448508904795227 0.598108667037897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.762146392249428 0.697422975999999 0.629431992253499 2.92791337293873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.344812650651909 0.343038664173939 0.483419624603846 0.646041125894482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.761648604890955 0.699222978202216 0.647815694204661 2.92523112582259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.356169178693508 0.349942093361475 0.50941521146469 0.675060488056716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.90582864252892 0.890433833497454 0.971433577518742 4.49838846789161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.321811467711336 0.321599662644863 0.421979138935501 0.665415733387774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.906387305781206 0.890768377700454 0.970754910331348 4.49988406746879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.323532691726763 0.322211423651387 0.426351795373628 0.667765661237418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.905938067936473 0.890528537432013 0.969551279387494 4.4965969877056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.323576280747151 0.322370026076969 0.426009380984179 0.668686469843052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.905012209455494 0.89009488661424 0.968083018913898 4.49152018584344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.325935208580515 0.323397394446077 0.431251097989782 0.674180804746139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.905125965234131 0.890207187378771 0.967778661681958 4.48669129877652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.330178415542919 0.328400232668657 0.436775033972 0.69621880465865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.904966900532412 0.890079957138879 0.966644633228923 4.47828031925537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.334318867328766 0.3354241489699 0.443920809231039 0.729736422066865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.904837103782565 0.889604277848984 0.966427251425084 4.48921394583219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.324776633679076 0.323828345204181 0.42706407658417 0.674700740716038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.904303622358803 0.889594504707883 0.964800327246684 4.48618219465126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.326960251892571 0.325887502352783 0.433186477535644 0.684479911148536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.905038987846383 0.889714197407466 0.968818648357377 4.48177232380954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.32996619774629 0.330650447156394 0.436478579491907 0.705918218293685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.900797091403047 0.88677423520716 0.965436947029911 4.43853504642675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.343959931118187 0.345172620695599 0.454345040225414 0.767855285599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.900180070296824 0.885713782799122 0.959830397534817 4.40662771987295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.354872655881784 0.360658776996885 0.468449217909719 0.835990541608373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995655079604841 1.052915321059 0.627965150512641 5.12429013400464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.590672461432154 0.58859552642081 0.465254097463149 1.58736428828721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995382608116271 1.05264795318934 0.62760941635569 5.12067355495504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.590863354989481 0.588626843820097 0.465674078903962 1.58710586309078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.99543845977397 1.05261623651385 0.628032574082402 5.11848301566981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.592120755071928 0.59100293888257 0.468591599080238 1.59696074816366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.996681785303125 1.05347786780263 0.632191444908294 5.12479138991533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.594623881485296 0.592761731338722 0.476994930190062 1.60551133391525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.00096185888323 1.05602740260517 0.646818092705675 5.13660176800868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.602040531221037 0.598244054752831 0.491859896982023 1.62701398477548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0042274851638 1.05696922843853 0.657368479346111 5.133957292755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.609783316869581 0.606431796717149 0.508457287904539 1.66547557309882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.997455431430439 1.05402720469103 0.632401925683047 5.1305021400356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.592496480494253 0.590617219072967 0.469840102412118 1.59571118701164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.999118609891351 1.05517148351576 0.636890853350653 5.13689904644191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.595510834917034 0.594690096425519 0.478404038566889 1.61052732459963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.00259370691111 1.0573840423692 0.650578864295532 5.14525410344458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.601290705278215 0.599776629618611 0.492480107060727 1.63182434250146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01095388566764 1.06590788472097 0.686023140521661 5.18691994095849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.629216224870366 0.626662033747239 0.570044591345875 1.73525361700844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02704132331972 1.08086821370119 0.741360834335163 5.2777958998606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.656737136507177 0.653480398828024 0.634872166257811 1.84855452766699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.867273840656088 0.842678153502829 0.835807861914422 4.80220163026198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.472033549967216 0.473182821573148 1.01522177077056 1.55064975312271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.867614265393512 0.842833371479379 0.836353104341859 4.80287126494411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.472566507050783 0.47366923588658 1.01604058902381 1.55239703953358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.868625499119762 0.842999130362368 0.841141035453738 4.80352629884119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.47478731586897 0.475255238058405 1.02541792815521 1.55808826761906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.871691727481126 0.843318166503018 0.858184420774604 4.80472125752692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.4763122614425 0.476744785708269 1.02504585288308 1.57320055884325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.874892256217402 0.843594314395908 0.873105027222586 4.80387487066448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.486484237988268 0.487997585143268 1.04816621016958 1.61387058512469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.879869937853121 0.844188317021831 0.895134512762935 4.80603246296096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.494430527949224 0.496823887744793 1.05764187460347 1.65035608666743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.86741134190319 0.84302454984187 0.842718057716527 4.80369089211501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477171225700602 0.477357163839104 1.03100005121002 1.56807621742976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.868990552087905 0.8432756824259 0.861932283606583 4.80441815991831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.480082927909187 0.481199840418717 1.03540570140307 1.58507468875749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.871513523978215 0.84310156040878 0.872562511381804 4.80106690193261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.485028985928611 0.486001416821617 1.04363347556407 1.60616679513951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878126573657968 0.844702847668672 0.910248787890643 4.80483341344786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.504055599943124 0.505294783379571 1.08751814083698 1.7011332584773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878593509638474 0.845126705738206 0.951320549051262 4.79944102134453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.521413240681285 0.523717388082216 1.13238627103207 1.80007655115867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.811847568105149 0.842800986258308 0.404330219233179 3.50883315303786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.514583597361154 0.513681032742883 0.384975652063291 1.3310553671365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.812139265325429 0.842945923223803 0.404629699881919 3.50898748795144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.514728242706347 0.514121502262812 0.384925544683593 1.3318801280775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.812494950767872 0.842971990967565 0.404907643031674 3.50830106953863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.515199810112912 0.514161116449115 0.386019784683554 1.3318606931974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.812935294156279 0.843280629732005 0.406672490356695 3.5092393628432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.516059513305252 0.515633385917316 0.387978367042998 1.3375790220329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.814486240865254 0.844663339124226 0.415068217823073 3.51564608229895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.519699120016265 0.520275147527575 0.39466999946242 1.35155416487424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.817432490282649 0.847372494304661 0.421763588201343 3.5289263773283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.525808843566592 0.52383064832139 0.408950379976424 1.36079742733672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.812607417026274 0.843283309036892 0.405493402867385 3.51025818551672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.515792201401943 0.514910837097453 0.387703597966704 1.33573961565486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.813445279205637 0.843895186036281 0.407590727288014 3.51318611608321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.517220448132033 0.517326388275601 0.390660652863244 1.3430496509062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.815123697163247 0.845753654599795 0.413195619745764 3.5217455493508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.520055861562467 0.520401212190272 0.396357935113697 1.35105665017626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.823304456438051 0.852734778758191 0.44076649018355 3.5506789651412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.537617230494353 0.535655358936215 0.433165692293002 1.4055521391369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.832682256715638 0.860865196786738 0.47079631130876 3.58482453209563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.556746419152561 0.555764760552295 0.470071681628332 1.4823901930431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45168639149222 1.34774218115223 2.05442001470954 10.1012515934328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.750668227391818 0.751931820595041 1.81233373208309 3.08332329583098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45154010268776 1.34792195732992 2.05727502268638 10.1038587188923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.752638298884828 0.754183789280628 1.81481838260436 3.09697725874786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45114116439735 1.3478627703849 2.05921553174558 10.1019643230233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.752705962978831 0.755927651198253 1.81497812918548 3.10934558949826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45083202669313 1.34822781318857 2.06206084676567 10.1065425218039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.754686277794542 0.757536388907978 1.82253011658725 3.1179686352413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.44679496436242 1.3475196157455 2.06286028416864 10.0894441672246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.758742761296307 0.763928150955497 1.83668878126364 3.17823138485074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.44357849041002 1.34785641457174 2.06067130428992 10.0860010872312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.76540668553584 0.768985231722604 1.85006013579239 3.21299775181822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45044298520587 1.34783242184903 2.05924714376396 10.1010697257137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.754844715613749 0.757118007237776 1.82603941462188 3.12156765611269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.44901492593034 1.34751505544296 2.05059467321461 10.0883949622714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.757775384025128 0.757217597235906 1.82974259699274 3.11575060656781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.44650316140791 1.3474702910567 2.05455500204558 10.0783271361372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.761731727032475 0.761990656184081 1.83592268593052 3.15415953937852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.43782997680151 1.34813996983808 2.06067808447829 10.0539393827508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.782655459428578 0.782340949654462 1.89556851456079 3.31436444369631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42854510156547 1.3473167341423 2.06170955676067 10.0002945473631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.797328426683756 0.794220090004828 1.93637004444763 3.42048816058401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.695308360433044 0.707941684357799 0.278272350586864 2.82867138658803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.460397562703249 0.463608706794643 0.405047824117717 1.25413696132855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.695252230040782 0.707998945056424 0.279342912579553 2.8291166402034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.461131835458733 0.464199211809417 0.40627448991569 1.2565527382496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.695663997331562 0.708113068211591 0.280871633987803 2.82931476491757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.461500444618437 0.464180588226602 0.407031998197928 1.25555310714324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.695540806520569 0.708137205017991 0.281520020411362 2.82900721673199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.462241526136224 0.464999207034033 0.408740002603465 1.25938101597703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.696601824622846 0.708301114051998 0.28681351130691 2.82840322623062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.465358955765135 0.46814774518005 0.413790220387393 1.27027488557573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697306496344885 0.70868009305232 0.291719761233789 2.82917836236551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.467738676994978 0.470738240962544 0.418217589173613 1.27741912067152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.695610375464544 0.708163647192359 0.280972923548129 2.82956956267509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.46181360350774 0.464713370944619 0.407747170478053 1.25828355879387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.696167950651404 0.708131217286118 0.282567601046627 2.82865640948792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.463000552117193 0.465344832016243 0.410188916384208 1.25852804179466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697369466253688 0.708695310780229 0.290034035008322 2.83052460147633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.466047358004557 0.468770331193133 0.415542169696114 1.27299002026033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.701135300528416 0.710494527371078 0.307728567698903 2.83601790481088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.475795856591859 0.47822281047455 0.430745839855639 1.30133902093266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.705050754301545 0.71183485111184 0.329002577435571 2.83735935227474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.486540598170482 0.487718526052298 0.448872270842485 1.33756348589906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.548890256288335 0.573272961546004 0.207120966617874 1.5157573379119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.383524075753455 0.383984759303458 0.179443400945682 0.676762644237609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549136280668768 0.573536185628653 0.207535970179096 1.51676726507564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.383663294332087 0.384219748038555 0.180115152583483 0.677559865030424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549456535248589 0.573688877164354 0.207953018762046 1.51754695546838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.383859138941457 0.384175832744515 0.18050518866085 0.677256396820989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549570780770081 0.573762389642251 0.207803573467847 1.51772091819357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.384186254281052 0.384654481313881 0.180732322621705 0.678080223617135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.550639412236435 0.574576543094296 0.209267714699796 1.52002551408932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.386162636598465 0.386500170792574 0.184469947660874 0.682389218333746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.551850808165381 0.575653689815688 0.211324551084845 1.52324675449044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.388002602836938 0.388423848442957 0.187090732748803 0.6873117592826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549293146779254 0.573418445925375 0.207098119466482 1.51625524211371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.383869273327927 0.384189238946501 0.179835569301501 0.676796061521178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.549768943686544 0.574004286213606 0.207659932708441 1.51867916002583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.384566522698927 0.384715664858663 0.180786429713214 0.678357893021811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.551422797369551 0.57518047310417 0.20924010689943 1.52348402189639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.386561933436938 0.386385708039694 0.184566823254856 0.682833654364386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.555370304035199 0.578322340880404 0.216150983234813 1.53078470932076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.393902346149116 0.393436310707783 0.195465727455911 0.699078419556011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.560463953495189 0.58254444238635 0.224244713420195 1.5418719169566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.403184515247475 0.402160076776142 0.207948341168781 0.723171954828464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.783506263571938 0.780658294282503 0.666231189916607 3.28171868734341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0951417710320709 0.0949790888992543 0.0400231999535301 0.0662712831416715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.783993620269406 0.780906513641856 0.666801218405349 3.28263936775235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0960731192236327 0.0959722196945157 0.0413378949548522 0.0678483015047586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.784347291645561 0.781239618410307 0.666354399944917 3.28391563851287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0969738630401708 0.0965375016904118 0.0430343843688032 0.0690586807011693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.78472498480399 0.781439162412709 0.665733554456975 3.28351945636766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0984355769714161 0.0980023862797521 0.0452422240049846 0.0711632534261212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.788050564388503 0.78352309913916 0.667094879697055 3.29175017619655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.103451175630495 0.103755663185841 0.0523807956954906 0.0818439122415042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.789896161756694 0.785220757285319 0.665585058651047 3.296723399772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110758409076349 0.110034996937165 0.0652284476301814 0.0937076946960624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.784578838798707 0.781517904917305 0.664793819827302 3.28434029501938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0976694983406067 0.0975475966650503 0.0435242753790125 0.0715215452441999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.784988052041426 0.781936969625427 0.664281100374078 3.2843674393395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0998051901073102 0.100730102347405 0.0463157740846372 0.0770600082763271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.787102218643176 0.7832786871262 0.666044177535553 3.28867429035245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.104780799147374 0.105626959449868 0.0547540957399062 0.0857298575859817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.797529009141178 0.790411725040849 0.669403688040046 3.31354296910385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.124132047240527 0.125699512357308 0.0849587321349777 0.122734208262005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.804398486054526 0.796382781869201 0.658477455102979 3.32984392430243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.145736798095986 0.146275854891012 0.114333323896626 0.159089002619372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6917898603339 1.68838714946332 2.83338002990414 14.8276443851115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.480817485150857 0.482525691615253 0.813917259661185 1.37045629466824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69266391203763 1.68973817567587 2.84677916166563 14.8448913740648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.482560956118987 0.48372619084677 0.821469480689743 1.37487004946479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69487979254532 1.69092022917525 2.85704020510576 14.8558044047121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.485560018883863 0.486791139854565 0.832408492976089 1.39384176295711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.6970748006494 1.69247141514226 2.86599574659165 14.8730155197994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.490234484085438 0.491835653676253 0.853650154077805 1.4193466485695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70247905015432 1.69791977789597 2.90235206325923 14.9406516793783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.505579423845479 0.50582601767273 0.932212431380741 1.4922635633305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7088437694759 1.70468269509833 2.96385811176496 15.0218242231948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.524218320525071 0.519751240697603 1.01960299801376 1.56705882741187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69598478114371 1.69134851794162 2.85124344551448 14.860113875723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.490714711175466 0.490122781358872 0.868309836120518 1.41477197025318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.69993609898637 1.6935032870148 2.87532207366723 14.8782218046139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.495990724008935 0.49497629458713 0.898795983423766 1.44388556391034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.70424212965926 1.69663184102846 2.89960598077777 14.9082341838903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.510234144267471 0.510906944246413 0.977578998727064 1.54267633113118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.72465960552543 1.71873539167907 3.03546957901818 15.1653268084974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.557227868125695 0.559645101617885 1.20989458622116 1.8215884164143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.74559244715078 1.73704560290618 3.14604511853274 15.3583179901704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.603580622092269 0.606399670490946 1.44082991809967 2.10942700941106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.921743633806271 0.860239460966375 1.22671989405645 4.57917518782343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.150423764521556 0.150259363123897 0.171512909896444 0.200287174029649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.922022696696684 0.860371639636003 1.22710683923404 4.57968196804989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.150881454558066 0.15053464304189 0.172023175566028 0.200620361745962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.920876292037045 0.860316864914205 1.22487119442485 4.57871342766517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.152283050654023 0.15206985641675 0.175744030477251 0.204969116130409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.920816526120596 0.860606675068743 1.22507737898828 4.57956436314327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.154018053742263 0.154230759671381 0.179742477106701 0.21194382111562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.923517084201681 0.862970916308489 1.23074206190674 4.59330308305151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.162011635043127 0.162730525699121 0.196472064449001 0.233213027965835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.924557103933734 0.865266242292303 1.23808448202875 4.60479360314814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.170857430671233 0.171248289482769 0.219806739604111 0.252901563781672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.922104079257362 0.860648202143473 1.22466379544188 4.5796493960311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.154231126615998 0.154960823475615 0.181892743365803 0.214672277268531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.920508589537511 0.861055093336966 1.21925809329193 4.58137670634851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.157501632556499 0.157171174990195 0.189883247873364 0.216724395513458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.920980745992825 0.862572847057358 1.21912246607607 4.58772844689894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.163790817202835 0.166514150371232 0.204033833457838 0.2460951616118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.924241109058757 0.870336365445961 1.2450888311118 4.62268201004313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.186254333611531 0.192067983142888 0.260943425737063 0.32075737078457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.921388117173507 0.877293472001644 1.23958924267593 4.65588024088417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.212613716537927 0.215276866754086 0.330398537291159 0.3894339026233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958689130989203 0.944133574121891 1.93867638484939 5.60729074013533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0644818949760425 0.0644416308485292 0.0334216781700067 0.0370484468024714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.95859000039429 0.944037295307902 1.93653365959403 5.6050365739749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0647671477142751 0.0648589207457382 0.0337384042871619 0.0375369150569801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.95938944962237 0.944251662538724 1.93825735793773 5.6044111267599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0653153626588654 0.0653145489116364 0.0345967388224621 0.0383288383961928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.959604032595012 0.94406935202558 1.93802660575813 5.59789731909856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0662869776120951 0.0681153160547728 0.0364262180009743 0.0481369650023862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.95772145499259 0.942677593307332 1.91519043298538 5.56289251263247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0723703273510922 0.07336284041673 0.05249572596912 0.061981067587853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.958867184290593 0.942993377115663 1.90302290645242 5.54664509172717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.078120458517214 0.078789292368059 0.0667242591694171 0.0733628214329653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.957028924331095 0.943289169228787 1.92564302581854 5.59078178589839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0659204298016589 0.0666505171749357 0.0353227260265731 0.0439685139698994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.955581326642839 0.942103491534565 1.90792399917097 5.56704039244215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0680395075829068 0.070464259801778 0.0385695127324422 0.0586842473797775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.955375108191287 0.941761344745857 1.89082760975064 5.54509892746539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0725960533185679 0.0750910788103047 0.0459668996519667 0.0728885290982885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.955974929039908 0.940548241392135 1.82644438735737 5.46232869520925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0906313696540623 0.0928078371599101 0.0894810018856671 0.124581529257097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.95506783864856 0.938834846485522 1.75164860754456 5.37690001311019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.105326022550551 0.108955653054591 0.112041086628475 0.154465050896606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980169896329712 0.978145435710153 1.37244203892726 5.3361223461212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108464317316609 0.108579318860536 0.0335863395377328 0.0573047561405905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980269969967537 0.97843588006062 1.37345180770443 5.33702356172258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.108990851855588 0.109271113137549 0.0347407188174525 0.0591956480187308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.980081556923228 0.978529512755119 1.37251570433784 5.33556831155129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109889020923868 0.110079777574786 0.0368063287303981 0.0609673840973345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.9800378716504 0.978663870990468 1.36850518112381 5.33215492251764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111146837133147 0.111640664131543 0.0400572674975103 0.0644257994826748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985581632043744 0.982818367093306 1.37041791129208 5.34868266703734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.118816443061153 0.120369820644474 0.0548273331992534 0.0844447509555077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.989774995076302 0.986682020854266 1.36616498052508 5.36286705444637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.126525939189413 0.129088186809359 0.0733769500886561 0.106482371172616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.982049955077383 0.979660162249993 1.37335243710499 5.34098021515385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111346491825494 0.111164853683373 0.0392645257739287 0.0626966845884981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.982726315413529 0.980511364885602 1.37084595604801 5.34192234894268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114068884125297 0.112721838983796 0.0467608512067837 0.0657762789330161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985059470700048 0.982793150880732 1.3650443399831 5.34645613877267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.121426552560642 0.119261027374117 0.0640940394274319 0.0826233908508096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.991464029385655 0.990625521107895 1.33907242252329 5.35071364934982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.146651766404718 0.145943911948316 0.118157403814225 0.145008966748182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.995431451678623 0.997762994488043 1.30565521886891 5.34628242076584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.172394950718103 0.1704665190927 0.164580642638303 0.204463983894817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04891201035937 0.914954378541173 1.59415277217417 5.53807150331864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.207943544013683 0.206627053935872 0.229372957546103 0.254222551822799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05052960676027 0.915123513282213 1.60598656360891 5.53824939705318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.208987555491749 0.208713437117579 0.231404365346397 0.261480516965757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05015494836952 0.915237980882324 1.60630223915147 5.53868663322011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.21049677372123 0.209575730311609 0.234578717575063 0.264397645668372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04908755717874 0.915404364003154 1.60866900527804 5.53980904005998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.212514992442706 0.212889486781089 0.240779772193674 0.277375027974148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04895579861467 0.916809144193011 1.62404460386661 5.54813364694541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.222264525584322 0.223225089344211 0.268433833636896 0.313962047716911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05054096374247 0.918335367296777 1.63318148667075 5.55553285270148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.231937127639826 0.232417965856187 0.293557078586643 0.345241047097805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.05090668017612 0.915506915259935 1.61391250633419 5.54071686532157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.214305325157912 0.211918807439523 0.254172052868467 0.268787741308661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04851174200411 0.915973233807697 1.61016121209585 5.54382646096721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.21809020309078 0.216951426048044 0.261433312110668 0.286292432212177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04818249144888 0.917118552719583 1.60878157232307 5.55005049358061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.223842230899976 0.223142833723086 0.274449392021104 0.303496998060996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04692162265078 0.921688245453148 1.6166913622406 5.56999032888104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.25723101189621 0.256128531389325 0.368070081671642 0.40951430783943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04164950387649 0.925272082477032 1.60603200611295 5.58041297402831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.283083310791934 0.282233751237333 0.438932089877692 0.497423516039433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.789891350239364 0.784813698795818 0.773300359836105 3.4321390460393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0798656809218453 0.079895141358309 0.01967241714437 0.0381668553393334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.790299172147368 0.785429117070371 0.773424672618049 3.43493507134338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0818310184980059 0.0803832534170109 0.023866346960506 0.0388781933002083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.790836890794074 0.785959790987017 0.774125850934042 3.43701116668429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0822851185245892 0.0818523948397919 0.0246723977797484 0.042395977498373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792051939246156 0.787116643861349 0.774348080925949 3.44142276609978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.085447853320206 0.0846153769278373 0.031345896660977 0.0483002179133624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.797112281380224 0.790376154613124 0.778707687269259 3.45223817963871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0927920341150532 0.0932544023400872 0.0446865848224922 0.0656525048768053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.800986633824668 0.793221342286996 0.781235407966792 3.461829440836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0990909558515894 0.0995224017482551 0.0535544892825478 0.0760617551453934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.791853369694021 0.786177440305063 0.776619796065146 3.43578266744244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0832107971616616 0.0828076557780359 0.0258383602131808 0.0442463714126365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793699941906511 0.787347666623213 0.777209979849917 3.43875635510494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0859746383342942 0.0869130459432935 0.0301470382113074 0.0535834843606966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.796901116605698 0.789681191868342 0.78078079496961 3.4461211425107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0918610552238982 0.0937543541735353 0.039961133743287 0.0666102373771327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.804776185135397 0.798213444335392 0.775845015663264 3.46665282157413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114247565198872 0.115605194268067 0.0751163569800702 0.108063518812973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.813721454709358 0.807296561907801 0.761976441720123 3.48903859808406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.135996394619882 0.138575357956518 0.105535238633999 0.148637663835389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46601748747412 1.34338310663408 3.16910382745573 11.0685718543377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.29734203186534 0.297128827985589 0.494613345930464 0.473760994692997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46524847426674 1.34315209066325 3.16608166987209 11.0618301108418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.298176644186511 0.297806825690143 0.498103923487408 0.476296995266792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46505232741164 1.34337565782211 3.1672980254474 11.0653733160651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.29928237817366 0.299514963891185 0.502081656622086 0.486457021554891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46246758055419 1.34187562533737 3.15471335709827 11.0362554545805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.301552271183597 0.301509887428637 0.509371968138207 0.497526876703008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45808175523105 1.33968011852832 3.12899594301163 10.9831921860578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.308894890901764 0.310277925387931 0.534392175470763 0.545310314575122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.45410006064401 1.33807221876625 3.10695082964168 10.9417680035581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.315871057266446 0.317128400698031 0.559626908909794 0.578450163405273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46394421545359 1.34236260681057 3.15953327485893 11.048079938218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.299904144919168 0.30014208968438 0.503946147590881 0.486686154627609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46177326426718 1.34130507376563 3.14291162280686 11.0187245596842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.303021922889295 0.303389617970955 0.5139323926027 0.504627526663699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46010695173786 1.34080324178832 3.12099044018037 10.9917190552692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.30940695255083 0.310694644488853 0.534811478468408 0.543034524151316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.44410546449422 1.33463773840587 3.0491126006968 10.8446791545326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.330876030255124 0.333880756550811 0.612657950374423 0.68007922884059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.42701332170461 1.32847207743068 2.96336424180996 10.6924063756917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.349072991411774 0.352318437600049 0.672434217151326 0.791770553708954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.733685498314241 0.709957902551088 0.603405427446457 2.86560722875064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0852374120524312 0.0853700093906814 0.0264371890767497 0.0446302886578636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.733587531259794 0.710054829396713 0.603375300925127 2.86590365717394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0865441360389656 0.0869071746185004 0.0283497998683587 0.0476164627994559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.733721562030987 0.710150628833469 0.60349412928615 2.86631757038956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0867799538193402 0.0872007063824617 0.0285753355401062 0.0476275830695743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.734211876373787 0.710319278738457 0.603766340523096 2.86685869638718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0885797124912588 0.0886678814366332 0.0311090143500304 0.0499294383677703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.735204462432724 0.711422095877769 0.604177324339285 2.86984907224528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0950872138598632 0.0952192188868511 0.039134529943421 0.0604247382900154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.736917189703078 0.71260518322502 0.6042493437541 2.87281130766858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.101500516288479 0.101839823525493 0.0468647384578601 0.0706224924903546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.734345217264353 0.710214696980391 0.604750084199325 2.86612703147451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0877799329908834 0.0872929785895361 0.0297742413284385 0.0472502591990735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.735475551243694 0.710638780463938 0.606816148697619 2.86737807644343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0901904975743803 0.0902943772024875 0.0328427844873591 0.0535013208167505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.736512570763897 0.711695120424168 0.606686767902173 2.87058373203725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0954683829516098 0.0954744715674183 0.0398996386891351 0.0623666748519212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.742077769448411 0.715976911363157 0.603559886953974 2.88167193223331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114704569439767 0.116275173192259 0.0618435327619221 0.0938404869859602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.744772273944539 0.719087316786697 0.592686276838683 2.88595436464992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.133469805876742 0.135216291418441 0.084684974035042 0.124741385667857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.51893503672693 0.526117538306139 0.331234191229723 1.51640818531734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0582183734840172 0.0581002570643948 0.00749658791877038 0.0188527274784746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.519437427046592 0.526635999434965 0.331463517583399 1.51800971413178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0589433140249262 0.0586218722966814 0.00849201727829631 0.0194128736867805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.519683119133012 0.526897883739089 0.33158711977485 1.51858027433375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0595121879795179 0.0590378268256807 0.00913923881232783 0.0200946649242871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.520602588008265 0.527528871434405 0.332649970503487 1.52018828781169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0604298639751982 0.0603042787106645 0.0103019851701106 0.0219141552745176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.522799656138753 0.529368463015346 0.334573250179586 1.52364652390823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0640858829706564 0.0637066967622905 0.014345545251908 0.0263970635059443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.524853637766974 0.531182435020831 0.335253651028059 1.52762475661879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0674967246711174 0.0665854326268124 0.0174698084625701 0.0293710400321659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.52030819581689 0.527261835531747 0.332179396498572 1.51973862942632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0598771442172354 0.059651148191259 0.00949018036153477 0.0208141493763286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.521715117379934 0.528226052362946 0.332689645201017 1.52207412375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0619793906295234 0.0613395924972859 0.0120279065637602 0.022892514529389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.523484777880597 0.529841637555065 0.333769731558184 1.52582237926104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0652751898988124 0.0643040067728349 0.0159500522661543 0.0270209895512531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.529496873894058 0.535825239460122 0.330557716111457 1.53690529426885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0767726583613938 0.0766863863090024 0.0257410440108659 0.0405238054771788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.535265554104694 0.542323695849856 0.324269175029237 1.54811361820954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0918633432425289 0.0915459973918278 0.0377247101229606 0.0570261211875846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.640389890741494 0.628823320526623 0.68936139619959 2.25424614569931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0128855345801604 0.0144651385273347 0.00283828660210565 0.00274815093288333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.640805911218794 0.629326569437078 0.689709290203689 2.25719831998821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0137468970446566 0.0147553966764267 0.00419033162450114 0.00298690470481005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.641605910315728 0.629917319849887 0.689969918875272 2.25953543807262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146172853981177 0.0155855098151502 0.00561689908340297 0.00371966409047813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.643209137777485 0.631159779295088 0.693492888853318 2.26478219673576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172155560390841 0.0171901426597044 0.0102289835157764 0.00489809011592487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.648356827391044 0.637365832975392 0.693220392605226 2.2861224022089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0280382629860761 0.028003907249736 0.023085423013102 0.012491219133657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.657662622545502 0.644254188000354 0.701228172997056 2.31225215974994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409501720031074 0.0393899792226897 0.0357033035704948 0.0194954204986552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.641272104286441 0.629908676666889 0.690602752934921 2.25807429230476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160560403399658 0.0164685926076586 0.00774040207265497 0.00397266742787361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.643271907292416 0.631866829887829 0.690879690819601 2.26401745027329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0193745106450059 0.0204335442730564 0.0111677731239366 0.00690616662706229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.649145856508985 0.637013291905672 0.693580768774015 2.2801982128264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0285817216390629 0.0284278790854611 0.020131494638569 0.0117281901662772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.674959153385879 0.658200507617129 0.694381329676152 2.35224993037444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0732059909817759 0.0685090871120186 0.0691887570163278 0.0409681935325957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.697534251872503 0.677622714128239 0.696615958425584 2.42087141780445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.119630113590205 0.110105962772518 0.133171957897571 0.084527490061246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.33872411011157 1.31654123981138 4.40295255469495 11.273602753887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0414946870288325 0.0352921349603336 0.0150886816723478 0.00798348583968467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34028098768948 1.31681448675435 4.40192740194456 11.269758234289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.042450449121541 0.0377952035824089 0.0175397633140388 0.0168285659389837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34343075286782 1.3183525991725 4.41925732181958 11.2863730773765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0438923459577485 0.0405313686058581 0.0210251067249128 0.0256652830588153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34757526256592 1.32035313115397 4.41869985284124 11.2998986391899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0473823522227666 0.0423302817548055 0.0311981719165393 0.0275649990626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.36504557993758 1.3275984710675 4.41997237845223 11.3248080745173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0624318567985386 0.0638425903192534 0.0697633248357774 0.123321474584004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38357475282765 1.33748187365021 4.44875093713153 11.3803576817315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0774235432820321 0.0854088439992629 0.100885715796809 0.195248321588242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.34455832861716 1.31816807335236 4.40251780615503 11.2761193755122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0472219478542487 0.0417875377276181 0.0314075862004077 0.032635550703834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.349216475876 1.32061570034792 4.39684165619345 11.282581674731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0528617595922953 0.0471745413755378 0.0464419808014649 0.042868350080526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.36004792393601 1.32593774582323 4.38066264111607 11.2916172762075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.063939160555501 0.0634489251610704 0.0731861886706579 0.108051283340426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.40678202960365 1.34817207598134 4.29457866859401 11.297268876348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.117886275721679 0.134148085399914 0.191108558830575 0.34873649092869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.46100149074534 1.37264557228724 4.22318173253302 11.3287941712367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.172433145973001 0.201291552806192 0.298014777717796 0.579147643051122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.730344950875446 0.71729659646985 0.919179404332522 2.95112670894471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154669678593871 0.0108639557071761 0.00564573456079387 0.000667104919851753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.728952325591979 0.717241318805507 0.916530593782042 2.94996661081861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0166131560247373 0.0122507286314823 0.00670123001485541 0.00366368730902054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.728797548964141 0.717556420664552 0.915115550588247 2.95073439929923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018168812095745 0.0135337933814405 0.00827010943532443 0.00552020379806299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.729031394805365 0.718318004863249 0.913444853962893 2.95276481948834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0199211627179521 0.0152647365064157 0.00904677642450872 0.00657479912271704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.728550150200443 0.720074703055675 0.904382493251419 2.95255766438566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0309842874643947 0.0263125851258186 0.0178669911251758 0.0149149036917543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.728502937818599 0.722185231942297 0.894770215696464 2.95273043095637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0436061581114949 0.037436456482879 0.0264957592146766 0.022410225701148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.730354950077486 0.71806908290915 0.918364366083599 2.95200077925775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0200134965383697 0.0137533921012329 0.0103977251880774 0.0036551862900345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.729731937132939 0.718963839164384 0.914012507728915 2.95271889538046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0246075394722426 0.0170372572828294 0.0148918370298189 0.00597000274627935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.730935227002507 0.721365709258175 0.909248426127274 2.95664782289036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0341947680412158 0.0273125314154556 0.0207427667786907 0.0159544320563756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.733604936911409 0.726789663039197 0.886201629254802 2.95075626782958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0773471575943838 0.0667892687715905 0.0572258930064869 0.0450844142619205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.736993521009245 0.730477875904912 0.861638353076988 2.93891495012323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.125969542507442 0.109925220994594 0.115711998498885 0.0857346233266122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.478385205552374 0.472863601727529 0.229214869080394 1.11544439112787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120892728982577 0.00797545453092211 0.00441739766299914 0.00130967025299313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.478416671601882 0.472814760802463 0.22915608188983 1.11486358475491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0125481482744119 0.00834114984796717 0.00456225349764421 0.00150876917092187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.478126648728511 0.472724176829145 0.228835448245164 1.11362000999693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0132118517377195 0.00882722726105062 0.00476142118610288 0.00163945034688598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.477638430220666 0.472909427027911 0.228354820850504 1.11271621263091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0147074022340249 0.00977403986828916 0.00496851768744271 0.00164337486748387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.478595310220581 0.474139029095124 0.226205646620822 1.10979943788292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0227072224243118 0.0171858759890979 0.00597703430995436 0.00275585505042539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.480539466872075 0.475593425716803 0.224737607846872 1.10722612854415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0325024962064803 0.0263012515934045 0.00824477428318328 0.00456225593430868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.476655947722649 0.472250197183817 0.227110817216676 1.1101458577813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.01351206615581 0.00959628106423 0.00428909319114045 0.00202989490565975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.47605697193588 0.47262784847445 0.226549054861402 1.1087351620071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164915857118314 0.0118387330130443 0.00467441150813009 0.00224118596851867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.476254271785171 0.473285022136989 0.225767593513016 1.10446073991613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234389439659452 0.0183678633106171 0.00616245485194595 0.00324977065596902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.481681822907542 0.476951748993491 0.222957379213024 1.09191063508489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0600464710532838 0.0513082012577316 0.0215534956030113 0.0141821019556954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.487068375776219 0.479452329819616 0.226806340433493 1.08066310008036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.101368718924646 0.0892746756732657 0.0570524093121839 0.0405724835048287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.975163793815776 0.961461375140459 1.4830527106318 5.14719661631879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0150631688212405 0.0159800163344924 0.00110665042849455 0.00425856159742487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.975463910582878 0.962651019239977 1.48307292076769 5.15546147317796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0173372109594559 0.0169122201086513 0.00588938698722634 0.00633585280044344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.976912526702881 0.964007401309289 1.48454620476735 5.16383216572411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186376672377147 0.0184688319500272 0.0101263838647415 0.00938109436964359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.979010321941584 0.966129741230481 1.48635760860731 5.17360703686104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0218334034608388 0.0205637189993879 0.0168698243408081 0.0120903304965237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.986878259755912 0.976556895478319 1.49360384218172 5.23018874964359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0338492286798731 0.032005453968074 0.0328387515454006 0.0291584186862932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.991966779084262 0.984176294477951 1.49093841845961 5.25974216385368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0473207848392917 0.0459175479286702 0.0493766257724779 0.0525932728195589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.97752372998911 0.965811605461099 1.48334210117602 5.1754935024174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0201872712683108 0.0199885506880905 0.0123389871501458 0.0141453342300496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.981086272975688 0.971016111819713 1.48441350456162 5.20801848388974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0245171638094203 0.022544267195395 0.0204234088116409 0.0162900347547597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.985893955656356 0.97896081315584 1.48258515254746 5.24905697257978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0374291079102098 0.035723800132376 0.0391349040967472 0.0427779429124045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.00582876605874 1.00696571688317 1.48797291089069 5.3814996073083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0846098449908141 0.0827571757759142 0.102434505967473 0.112078716827939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01803371809361 1.02950864490804 1.48573209273727 5.47749883309278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.137129348864553 0.130441485533369 0.195750332079425 0.182006597632683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.908539372712565 0.884548065644385 2.11543108231128 5.2506607825574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186561032659561 0.0198387045431346 0.00403512073265493 0.00201497060773479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.908716874561278 0.884778702908811 2.11554845580731 5.25155196113422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0195837413929823 0.0210043546045679 0.00510959588656484 0.00445361755464235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.909101467655272 0.885179919634301 2.11561383828501 5.25311196555441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0210392400727678 0.0219833105185594 0.00695527898265734 0.00531564846281247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.910029011449342 0.886123734799814 2.1148508664015 5.25685094813088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0251531985814637 0.0253486080713153 0.0139655252322222 0.00862204980062014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.911586834407418 0.890150242949456 2.10767286838485 5.27287733683761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.041512242338086 0.0415553775755413 0.0379256548270142 0.0348579322277459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.915365670258351 0.894099548891938 2.11236399390045 5.28834990506679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0550325027062325 0.0554958031894088 0.0539879139206567 0.0545736713441237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.907800171262605 0.885882707475882 2.11069214724499 5.25611150849082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0239382291305531 0.0248912071952989 0.0117365395886779 0.0110649468529061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.908794920857846 0.887490927541079 2.10849629191353 5.26229121813229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0322123774017814 0.0316473817926197 0.0257842677025847 0.0206480906461915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.911720178698214 0.890682949601471 2.10737686449749 5.27432608154376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0449531262385774 0.0429422743244949 0.0465952751343931 0.0405971061474131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.917619972820623 0.902767333270223 2.05088564654725 5.31795129848982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0927327564066168 0.0907220682628227 0.108019026816773 0.114368541081633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.930572113981824 0.914181921797629 2.00318822204026 5.35857617390442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.145987245567449 0.14034331900717 0.201240280323026 0.197661790724697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.675724161308723 0.664499637831807 0.756782618442153 2.50351100944081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0120669290883573 0.0112941190226377 0.00213685288144552 0.00112073846869772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.67776247647855 0.665210720619797 0.761016037838205 2.50582855883932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0131970656159946 0.0131014558927427 0.00408289500817046 0.00449607048558625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.678490280883546 0.665832857686466 0.763281546473938 2.50842453439516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0143970898953462 0.0136418840044086 0.00619555922358477 0.00502931009804062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.679785489802649 0.667339584744285 0.765599121603723 2.51505075504753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0164918845143047 0.0157290127415189 0.00896167507672592 0.0076492703165746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.685801812657576 0.673997003379203 0.769441516765413 2.53698758488873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0296763228252477 0.0260131387695592 0.0243458213041355 0.0186494221420077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.693135354933338 0.681803706328608 0.775290040174656 2.56638964212746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0450177655615071 0.039134000091448 0.0428805925350214 0.0291402282206331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.679024623974416 0.66715857556071 0.75955746396768 2.51526819287405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.017371072712617 0.0144946112724662 0.0130122568102213 0.00619249207934673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.682421128199928 0.670104610271228 0.76230772728045 2.52555042894222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220945013847504 0.0194975584924626 0.0196134288257132 0.0135097140913232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.686528564547312 0.675008038212071 0.765711381609968 2.54066886468379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.031971322285559 0.0268598444829123 0.0299712344331924 0.0178480216478773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.710704911829113 0.699014428733747 0.770286295292733 2.62771036311092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0812197214299192 0.0685282651775137 0.0905649892774332 0.0534179736539782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.732530211408709 0.722126216061241 0.771837012792554 2.71535890424619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.130820449577614 0.109305675186284 0.164536092082351 0.0940934873677854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02321108309366 0.998921617844679 4.39306197065231 8.46616025357374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0412290993863637 0.0297673296628618 0.0135364617017391 0.0069248303797529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02548384606933 0.999303239894297 4.39516717403794 8.46263767127227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.042789212279151 0.0312775273539984 0.0210804761630344 0.0137157283636141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02653981836781 0.999525666196282 4.39329751275541 8.46097953134804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0445888542626598 0.0310569476456274 0.0297551644040895 0.00962204208416837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02731170285795 0.999944124452019 4.38371501629445 8.45590750729266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0479939149784437 0.0331194421149586 0.0388614452943907 0.0142352899457208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03640625367609 1.00611066334159 4.35850652637183 8.46775451414953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.061408339535683 0.0428312156826779 0.0737398064086241 0.0335275797327478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.04458712670856 1.01079412814036 4.33245785595791 8.45211761097251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0741991519718921 0.0538157764888189 0.105508530733052 0.0491002677626299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02671103658461 0.999795758727639 4.38469479753087 8.45820544605879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0455550004657619 0.0322659739199243 0.0264807392689872 0.0122164261965072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03063816499488 1.00228826415344 4.38164724637203 8.46601608825716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0514769930316267 0.0355432611133002 0.0431038422252178 0.0163295655850116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.03851280764119 1.00714442543627 4.37718840651973 8.46461737584695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0609837101039839 0.0460441561828498 0.061907612496208 0.0439637251069843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.06580616735101 1.02251219673284 4.25658021108487 8.41998100015117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.109902896726657 0.0838930528436332 0.157175060875109 0.102398503847308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.10120059711938 1.03811987427528 4.1607289321785 8.41544195770032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.158503865390176 0.129068627618884 0.232948963971666 0.177245346641732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.428211885468718 0.416088884829419 0.592116554557496 1.27889560202729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0152828101234462 0.0107452302043164 0.00667560953977397 0.00469482446953673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.42900074470437 0.416424589448376 0.59195017018721 1.27947781069374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160309197120316 0.0114928433673145 0.00763780448747674 0.00505624567953633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.430565704114431 0.417112685227501 0.594090385922276 1.28073004082653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0175337967732184 0.012858534193068 0.00962548932737613 0.0062561219593228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.433562057291595 0.418750627879045 0.596856017594324 1.28383323761931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0195803014535393 0.0152992348519894 0.0114736282235879 0.00727209265375626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.444033186620737 0.425142080812406 0.60236740968894 1.2957683338316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0326319587638172 0.0278566977616463 0.0246667765261708 0.0151249412968782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.456186583736794 0.431385630706867 0.608086143940439 1.30786364242897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0473841317828304 0.0413932464832262 0.0394701172294495 0.0237424423608301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.431811337130715 0.418178520626001 0.593896330467938 1.28277826046464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0191454326276245 0.014729604921146 0.0113678522943813 0.007679867762645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.436271146900834 0.420681711849337 0.598036256551742 1.2873210387184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0235366601028868 0.0191182799895478 0.0162056659202558 0.0100526058234241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.44559037760399 0.425630107707217 0.604984323027746 1.29643836605374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0339734421144294 0.0289639019657813 0.0260898428389099 0.0161744973360826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.484199707184387 0.444278798481711 0.626128182004863 1.33259349414474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0778802019502151 0.0683681618499895 0.0666318014337043 0.0430996400464972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.520507866076149 0.461366490604287 0.64459319840733 1.3673554734082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.118854810753136 0.109659710732393 0.106946915477683 0.0870842220757145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437208312752496 0.433022631515371 0.32896687106357 1.07405634375917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0114456441114737 0.00573279879505565 0.00875242858960318 0.00116723485606401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.437916141430809 0.433559610674194 0.329248660695308 1.07563660060268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0122794230647054 0.00620157737310274 0.00975861277713869 0.00151640144358942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.438398665234088 0.433991177924485 0.329490639014008 1.07655305412536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0127622927014423 0.00667972363884554 0.00988356692538498 0.00177542395189439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.439528692352934 0.435287204953824 0.329894414695682 1.07942675395967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0147921923959662 0.00818765570344659 0.0111490639658829 0.00245500793047028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.44437445887266 0.441034878805624 0.329866236044384 1.09196418488096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0247653938052263 0.0172566235457331 0.0161327683015957 0.00546191083824728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.44970424645839 0.446222259801661 0.331903021015111 1.10178253408465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0351474330925195 0.0276037754433008 0.0201249108778556 0.00977475069276368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.439221833972135 0.434595722569295 0.32944494053294 1.07786033776849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0139418292876532 0.00751862850757446 0.0106814445512065 0.00200630198328562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.441378864873545 0.437177347183412 0.329210563232956 1.08436386376919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172904505051305 0.0106519620995188 0.0118366399951562 0.00286777124187016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.446178198669599 0.442040997347338 0.32967542717259 1.09443857665741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0259237329382465 0.0182355946958256 0.0157360686800938 0.00516691227212869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.464612315370429 0.461533664456648 0.333975019735245 1.13861789228177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0618106969265071 0.0517401745954894 0.0358698825779483 0.0204910088042756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.48186204102834 0.47914038369677 0.338547152890304 1.18030942665998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0981492076880125 0.0859825961523941 0.0685333757843046 0.044037502753126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792682077458076 0.805597713808862 0.369016954055232 3.2059658644094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474524102126838 0.475912167404727 0.327207348396118 1.17621301859113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792682353156658 0.805608658394314 0.369000324785677 3.20603225766898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474512124069957 0.476000409649745 0.327204836049246 1.17655806451346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792683050353545 0.805620283318761 0.368984437614676 3.20609914789591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474501612582439 0.475881556111238 0.327205854027101 1.17605605279693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792334763525546 0.805306598913979 0.369062161954057 3.20441485498358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474472054032125 0.475911568116167 0.327226046451929 1.1761153112572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792038565417959 0.805066776237222 0.369859951512093 3.2006083230744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.475951971100553 0.476247541623259 0.331454564490683 1.17762446035559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.793534618549367 0.80657742963883 0.372597481034255 3.21017953009748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.476170040190669 0.476258855332709 0.331728965616052 1.17766775939823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792644387580938 0.805534510812171 0.369152611370335 3.20566511371072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474565386139514 0.476025686761277 0.327264033849838 1.17667365817373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792140773087997 0.805000525643686 0.369042616208069 3.20121499288418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474607425238306 0.475880168813439 0.327337498157232 1.17613714360935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792350133900472 0.80515583047769 0.369607199594677 3.20216809520247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.474730047207964 0.476056727805787 0.32756589981875 1.17678461019645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.794511128923543 0.807254660415431 0.373439483974371 3.21248693079393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.476982874205573 0.478164691968077 0.331943081200943 1.18616750932643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.792656968896232 0.80594622293379 0.373058088289479 3.19555230970441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.479697837567598 0.481689162669768 0.335860320559277 1.20218408265325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798113660906391 0.670658670509798 1.02529721634768 2.72712731553859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.44744925351368 0.35219094103291 1.09512586732656 0.713244423105538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798095547351778 0.670660505540906 1.02530515089843 2.72713769436332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.447451239084101 0.352192904884838 1.09512974150458 0.713260811674058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798073704475557 0.670662778593446 1.02530900880569 2.72714651247688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.447452997343141 0.352195005024272 1.09513427552885 0.713281461634731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798020106684979 0.670668579782469 1.02531159244001 2.7271589186655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.447459085048094 0.352224584030099 1.09515398689712 0.713341543243905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.797672445568032 0.670701112349026 1.02517965144298 2.72710878820269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.44750909069924 0.35228656618543 1.09524866094791 0.713717200556579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.79715727594421 0.670755930970053 1.02486447460382 2.72690624221785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.447646765299912 0.352324643682989 1.09553317733321 0.714345561422149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798132821315962 0.6706556495465 1.02527731719723 2.7270820796104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.44744066585819 0.352188899666212 1.09510724959767 0.713294758812238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.798120851919305 0.670660740778815 1.02525863904932 2.72703341760228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.44751081616553 0.352195090327176 1.09512064362061 0.713401453405214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.797930563932674 0.671067755414377 1.02433456999705 2.72824153834889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.447332202785081 0.352161876543899 1.09419423638293 0.713424304921037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.796561479995951 0.671467290153087 1.02522734270874 2.72764255068838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.447522515233643 0.352223877579503 1.09541093877161 0.716485383436808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.795195063609919 0.672887030662748 1.03567364670504 2.72956045211057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.448213730642705 0.352327249957476 1.09834212300532 0.722344771358942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.766649650693031 0.809048465534751 0.403892057532495 3.25538680277752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477846588250162 0.48792415449676 0.376742999646694 1.21442555736543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.76709748617021 0.809501855332118 0.403855591829874 3.25884979075075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477981686798095 0.48788323415668 0.376751540982727 1.21431176831168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767094114525069 0.80950463986919 0.403855257586539 3.25885988059343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477911113467429 0.487871933228335 0.376766599048678 1.21429219124616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767028851974943 0.809452702956394 0.403930407412126 3.25858316864154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477938713807953 0.487892981730567 0.376799077376277 1.21440024319611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767582490207138 0.810076241093467 0.405331756907595 3.26235554285886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.478118147762151 0.488246726926637 0.377130890853211 1.21544330086827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.768200848533036 0.810791233595738 0.406928348990926 3.26673742504297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.478662658399783 0.488490232922695 0.377638194882125 1.21701212005898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.767144173730578 0.809555168757293 0.403928232495363 3.25917780162447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477875453115982 0.487969988867966 0.376767703826131 1.21456282769926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.766995090428885 0.809421773207959 0.404246656594275 3.25844958126323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.477924536399984 0.488030664883258 0.376847565202761 1.21479235955283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.768104223035071 0.810568526666262 0.405707453277851 3.2660522834174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.478112912024514 0.488276246393975 0.377098056882102 1.2157332727087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.771783570310233 0.814397224299017 0.413468312019842 3.2877273057444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.480278175710222 0.490688318625904 0.379733907123311 1.22573714767784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.774075280949188 0.817034431011511 0.418687522910388 3.29647316519071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.484922971194778 0.495138087194586 0.384990832284619 1.24464664943008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385950070444021 0.389051779014781 0.147639363671033 0.775190348490454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799509435083037 0.0850978395680972 0.0155823754009893 0.0341555371930707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385764164283104 0.388834741937733 0.147731434209214 0.774588015321948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799520139947075 0.0851083519668193 0.0155825260888442 0.0341594150164297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385760310127179 0.388840828704865 0.147729202746327 0.774599179093989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799112821880646 0.0851187135483611 0.0155808683048571 0.0341633018883691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.386040987795 0.389192285902028 0.147644576335458 0.775641417801812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799218449134059 0.0851440911988509 0.0155818176532475 0.0341750266080022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385874473429193 0.389197314212944 0.147497976792521 0.775537438401468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799821617431499 0.085326703228948 0.0155966508958428 0.0342906394471331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385980072304568 0.389516120611545 0.147084379766043 0.77625814187341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0800709843176531 0.0855130632998296 0.0156241080311592 0.0344300271261748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385928133331285 0.38906404667329 0.147630531853575 0.77521616503386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799475782883615 0.0850453856911815 0.015580610068818 0.0341263607693101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385887146747561 0.389077521741635 0.147587070302088 0.775229025144242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799067789850641 0.0849987523322212 0.0155802904506767 0.0341045870423167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.385696146073633 0.389062437342933 0.147430232961674 0.775090804239672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0799554440835206 0.0848392921635451 0.015591675295612 0.0340458756422692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.384232681914188 0.388928148077405 0.145330305766134 0.773581162398814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0803732946269604 0.0849679909772376 0.0157294540947255 0.0343310827710337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.38259972235984 0.389881266197637 0.140938743328683 0.774245315937422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0815067560337723 0.0858278520291986 0.0160711097596033 0.0352830827458892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.743882781971496 0.758991945169895 0.668387043459921 3.14453551488575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143297174864501 0.143667066579874 0.0936452646753486 0.127152344775719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.743889256396219 0.758995155374871 0.66838514126385 3.14455859834641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143330027829435 0.14368158205994 0.0936627426802894 0.127166655108251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.743895582124417 0.758995218099234 0.668374509409211 3.14456304316127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143334116163112 0.143695724919802 0.0936648945307847 0.127182173262336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.743906710188751 0.758992258901299 0.668324106308378 3.14453098829916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143361663922241 0.143731663719037 0.0936801614550156 0.127222674802412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.742314853733006 0.757273517575234 0.666067412017903 3.13153610145146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.14351087569791 0.143905314752157 0.0937592099269985 0.127470941939442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.742055091013605 0.756776855845104 0.665325108075906 3.12844824267776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143703062626349 0.14424799771536 0.093861900431707 0.127878982263652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.743902146282518 0.758964516610389 0.66831212598977 3.1443147388156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143329848571834 0.143575681218955 0.0936377452503566 0.127140768661471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.744123797406065 0.759108948116836 0.667848736474029 3.1448461737081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143352671091645 0.143561515552629 0.0936233666845238 0.127166458979982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.744143137437017 0.758949676987491 0.667096743325938 3.14348252697406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.143472053200783 0.14357771613164 0.0936362279766632 0.127294874019885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.746062580435646 0.75983043431172 0.658713976440373 3.14543505482941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.144405390654894 0.144161532859055 0.0939261044902822 0.128895318842987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.743912582722413 0.755271035770803 0.645480690595611 3.11114114540873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.146326121756048 0.145848710005344 0.0947728542145752 0.132369415036913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38509776368188 1.34602008241237 2.37738874887898 10.8385495472611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.714149477405918 0.695800206767532 1.956375712491 3.79841962335855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38509564723926 1.34602818139199 2.37740385846765 10.838638410409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.714591145619125 0.695717810155765 1.95655929113706 3.79827351805839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3854217559773 1.34635128369027 2.37770460121253 10.842758511972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.714753467325718 0.695971910107616 1.95710153656617 3.79947722649816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38527642725182 1.34623902087536 2.37759081726028 10.8406519493637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.714583915725674 0.695845104696812 1.95607112640839 3.79806616090952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38544739616295 1.34618711683949 2.3778721476733 10.8409477825679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.71550300288854 0.696169568949423 1.96139401439539 3.80041165259012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38700223205777 1.34628055710786 2.38547655826294 10.8393720967009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.716751762401659 0.697100714048302 1.97132525072635 3.80722303961066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38433004542445 1.34531075150088 2.37680934732141 10.8299837867062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.713186392378527 0.695741315428845 1.95565849433447 3.79751141328265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3843987801256 1.34535665534794 2.3769189567636 10.8315466666885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.712940307197635 0.6963883396784 1.95605078141183 3.79971964532333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38372005798023 1.34524655887138 2.37028695798898 10.8244300667632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.713254529338391 0.6969235202574 1.95729860572484 3.8009694424751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.3849546274996 1.34679357500909 2.38923353337737 10.8429721555683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.711509325331732 0.701612853607607 1.97734825653868 3.82944374622825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.38564490260717 1.34842772080778 2.4015722041925 10.8535588741306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.712688618777815 0.705221085364275 1.95342204961752 3.86673595153478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138455181484783 0.142954830747547 0.0254785054587966 0.111959131752505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226870313104171 0.0217885865297196 0.000866942597415554 0.00223676458492156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138440509461657 0.142950891332579 0.0254769279590038 0.111953789349379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022669630087202 0.0217873489221014 0.000865918978355829 0.00223797273945718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138426035656744 0.142948492065926 0.0254747460808395 0.111949191051111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0226535946122346 0.0217866053365408 0.000864934345322547 0.00223928853739811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138978055386536 0.14352479653089 0.025578245533065 0.11269842221316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.022623015468229 0.0217893327589387 0.000863245451226729 0.00224260214558038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138900746272848 0.143532518342906 0.0255275844966194 0.112669964196688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0225512825426778 0.0218285730188307 0.00085899050469923 0.00226168658801989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.138733818623058 0.143465051684216 0.0254595847298538 0.112547706720774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0225537866495481 0.0219441409054035 0.000858841911264766 0.00229221678770487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139567834425326 0.144092249730721 0.0256887390614084 0.113401354399258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0227091799719101 0.0217907670546317 0.000868000639513315 0.00223647945537934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139565071732137 0.14411839141413 0.025700098620841 0.113399917978492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0227439491618109 0.0218270620651058 0.000869629011884149 0.00224135497920879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139567618612798 0.144189116543589 0.0257015108765561 0.113403132383789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228511771959596 0.0219182003072587 0.000874792723395709 0.00225481054428382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139667209014269 0.144763574720887 0.0254900038373279 0.113568387335327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0236370253384328 0.0227839020742634 0.000922527284476083 0.00243792675450298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.139613317889996 0.145598899795345 0.024805047301781 0.113705348898272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253804771633193 0.0240448936378763 0.00109717329887927 0.00265376658218756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17484321246924 1.16356527370304 1.83114403296545 7.6442064591638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.659508604521607 0.641030973452135 1.47974314875821 2.73214613145881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17507545174588 1.16379211994632 1.83163058139074 7.64845070404474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.65950729686607 0.640976224675877 1.47975112598642 2.73190831537708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17508787648292 1.16379985082613 1.83159734384026 7.64852255141822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.659508264832479 0.640792877389659 1.47976270368178 2.73208127080191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17511354621274 1.16381643252636 1.83153025483001 7.64864919975475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.659798012493756 0.640653004200839 1.47829389309904 2.73215183352252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17518758395271 1.16386695962224 1.83130342087866 7.64873417488217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.659483356830139 0.641125997751129 1.47888738342968 2.7348557860243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17461338241985 1.16350257599928 1.82995471284874 7.6409224217545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.659015723118461 0.640847665207978 1.47949786567722 2.73232091543496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17462761929297 1.16339264957044 1.83121992819718 7.64220586408567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.659211552225272 0.640827717132336 1.48055171937241 2.7318997324612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17422261674616 1.16429176338173 1.831191642565 7.65295176811287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.65984874456171 0.642434177070805 1.47921010767259 2.74073974378547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1740151543926 1.16411384215988 1.83197617670714 7.65132450494561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.660060467592777 0.642656957621614 1.47865786752812 2.74458420442143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17346335283744 1.16371895198261 1.84131229428486 7.64371491051891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.662587339963582 0.646079952297642 1.4908657194435 2.7667984386492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.17422373999824 1.16258134195456 1.8394779411518 7.61498720390695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.665392872285781 0.650496466237136 1.49973889411505 2.79793133609972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22253459570634 1.24976383436507 1.0012190946923 8.64955279498294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.545233262041866 0.577915368500163 0.965014667150398 2.14177950231321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22202552335107 1.24926417155595 1.0018012463641 8.64498735974089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.545298872608874 0.577975561155172 0.964972052604491 2.14181693301543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22201346728983 1.24926108359295 1.00175228293848 8.64486887142672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.545306974030473 0.577883319516606 0.964970521725501 2.14129373856613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22176259085255 1.24919037860211 1.00115713727344 8.6426159556283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.54505472893216 0.578019738801412 0.964572723911932 2.1412170619952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22162759477016 1.24916296030914 1.0005817422232 8.64089331025773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.545785707202355 0.577762335619506 0.9639776908136 2.13848506557901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22129674857277 1.24849781994603 0.999305429653437 8.63144896657899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.548433982299558 0.578197315141679 0.965966376640433 2.13938727430276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22144811690132 1.24881321917986 0.999034217813644 8.63648857277206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.544195917404155 0.577519640938101 0.96510952564492 2.14008573778007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22148301918693 1.24882094588441 0.998863493509828 8.63637477574707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.545528991060277 0.577581299964941 0.965616104390185 2.14043391983873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22115155346019 1.24796625726255 0.995684548116539 8.62347242001336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.546107694276311 0.577848371478952 0.964598307768679 2.14061481632909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.22000895097456 1.24625549061363 0.994449051213075 8.60079718787241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.550763441258616 0.580260728206955 0.968988712006455 2.15725444691635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.21939254236965 1.24592224026955 0.986888382828009 8.57858928088086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.556851805418772 0.587668778772093 0.976514442157965 2.20653484766342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146124123662421 0.147133651562515 0.014634290209511 0.107098580348024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407707879112001 0.0394893678770032 0.00287105357092582 0.0086079226748067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146120389357114 0.147129959121365 0.0146336946561882 0.107095881652448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407212018694398 0.0394783650045414 0.00286663167091303 0.0086058321346933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146105946952505 0.147116150680181 0.0146355473121125 0.107083668245527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407220178852603 0.039477317876059 0.00286669611372752 0.00860519917492747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146098557846941 0.147110326730162 0.0146329046467959 0.107078645548398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407292151438153 0.0394777395316544 0.00286930502358265 0.0086047502859125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145969130997332 0.146997439524779 0.014603447412593 0.106929659378075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409321524863327 0.0395463140001024 0.00288109727560661 0.00862041348017861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145660359188574 0.146723365776774 0.0145320711998921 0.106537762922708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409932424289528 0.039620917230952 0.00288208195477158 0.00863969681202912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146229389435254 0.147230952734403 0.0146493453311296 0.107214897986826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407345660119936 0.0394606645929486 0.00286653299966351 0.00860118290383931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146290533529208 0.147287022449122 0.0146462028369545 0.107265288556442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0407847373466422 0.0394684956308558 0.00286524075955175 0.00860031618832704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.146033957789739 0.147037297688799 0.0146273168325728 0.106919170425224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0409161909426839 0.0395290166178542 0.00287121736803012 0.00860855721126706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145945869723644 0.146981972212104 0.0144983343784509 0.106624242218234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0415374495197112 0.040033754377269 0.0029081956970618 0.00874114805072041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.145224686965012 0.146310691551761 0.0141652966965082 0.105426688442864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0423828869261939 0.0409401790799359 0.00294085355750595 0.00901962342890126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.87816637603608 0.89021914811359 0.792127582221267 4.09227212811192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0824362275993843 0.0969359860026615 0.0396428615655035 0.0605641052952768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878113199187395 0.890145032019613 0.792192416353744 4.09181769882378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0824006304787114 0.09695283748616 0.0396228059719783 0.0605713481366209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878206367324562 0.890216582938888 0.792120263417958 4.09225220127317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0824253547044786 0.0969704707269381 0.0396305891119484 0.0605807908215258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878454927945184 0.890432603667245 0.7921696785226 4.09388603683719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0824063929243353 0.0969831461398592 0.039618259579458 0.0605864731205377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.878869556866361 0.890844678079189 0.791038994121165 4.09623982142089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0827700140066874 0.0973232678126268 0.0397619663857029 0.0607999629363883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.879020857056211 0.891189809740489 0.788711677857777 4.0974783688008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0833441918036644 0.0976803910077413 0.0399346042606118 0.0610820467393343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.877875890004715 0.889963134849935 0.792276199309953 4.09065518480967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0825115935612437 0.0969753461463708 0.0396763915507801 0.0606007245833076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.877680995919686 0.889828691762849 0.791990114800127 4.08955502354026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0825768686297085 0.0970342124740612 0.0396424611039936 0.0606493732638793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.877226979426468 0.889586293887191 0.791100873452734 4.08746585256365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0829897467114104 0.097261846150604 0.0397450115352329 0.0608421235631886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.876325195140792 0.89069470438897 0.778843286459056 4.08903642754432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0856920076387915 0.0991018119363412 0.0403282354913089 0.0624761414408683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.872313793969348 0.889936278988595 0.755550852566043 4.07228060198821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.090070559806765 0.103034706087328 0.0415113127636901 0.0660252183611379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.824878457285983 0.755025463941664 1.11897765394522 3.48636799426459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.11031784997132 0.0882108501464918 0.123961187628114 0.0575021436553625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.824874788815277 0.755021768225366 1.11896098915003 3.48637055005321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110324477235427 0.0881900475420137 0.12396134918606 0.0574976638701795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.824865246221236 0.755018209967819 1.11892040206702 3.48636427146956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110335413599284 0.0882127294121256 0.123963813044845 0.057500380368072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.824716561072383 0.754907491254875 1.11884432368615 3.48575853301194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110350079215847 0.0882308735631968 0.12396807923412 0.0575057577581358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.823935920434089 0.754452826469311 1.1176544481544 3.48287200449181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110689949901348 0.0884132063229152 0.124087243717115 0.0576106561178514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.822456525910335 0.753658247938176 1.11502845849138 3.47722742705404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.111232823848711 0.0887658792682664 0.124321693086972 0.0578725740224098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.82484972347854 0.755039137272695 1.11893591654447 3.4863633253085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110358792219191 0.0881646626101989 0.123960750784793 0.0574899985372812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.824757915935723 0.755081087634836 1.11861684041095 3.48633424006273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110401953326002 0.0881892841881382 0.123976333368334 0.0574863544341045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.824365861756217 0.755170902436328 1.11722720227574 3.48585009289902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.110703534477899 0.088279454825127 0.124079491444661 0.0575370004222837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.819836030819906 0.754608618868934 1.10135642981226 3.47456894658681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.113151573947582 0.0896750983154068 0.125227132280167 0.0586299141239027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.813000186990433 0.754470254152851 1.06863740061453 3.46016502144993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.116697264812543 0.0915955749097184 0.127411460988564 0.0607910847491073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02874697378723 1.03440338211951 2.75942066621564 7.377905097247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0642894873874473 0.0822581805732781 0.0222522021689632 0.0863095935364844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02889442290716 1.03454435317103 2.7592563724158 7.37896319067613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0642805463253897 0.0822863438775809 0.0222611486245644 0.0863045477835431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02917149131326 1.03486078780109 2.75918523544818 7.3815813632083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643074170749507 0.0823231184079026 0.0222716168228893 0.086313278991602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02879936526925 1.0345172311837 2.75889505266397 7.37836761980891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643975607268608 0.0823907716845371 0.0223043677830812 0.0863228964483406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02890330000932 1.03513725860102 2.75582809732072 7.38047220659001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0649641718634203 0.0829150742515936 0.0224647021750609 0.0865450084542957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02933424402926 1.03636714231815 2.75117635184343 7.38689995990854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0656996680391339 0.0836532123734782 0.0226373842657837 0.0869701268367402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.0291369289321 1.03483761921732 2.75895314902274 7.38116655761579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0643321464488338 0.0823880537641826 0.0222531148662742 0.0864018156976479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02898573168382 1.03476843485211 2.7579217291922 7.37954713768499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0644168291783477 0.0825477989504483 0.0222618041797725 0.0865224270860715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02869908193674 1.03488006250363 2.7545150596271 7.37738718523992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0647817395080241 0.0831318391276307 0.022296195251847 0.0868995626032033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.02603839849264 1.03552624991714 2.72036810890511 7.35724000250996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0675125244165945 0.0868191971699042 0.0228047029315164 0.0900607147182183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.01848364696755 1.03305253589244 2.65191954922868 7.28783592256185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0714633961882426 0.0920379003328322 0.0237842689351929 0.0956429861239331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994792965190786 1.03223074369639 0.88667018908908 5.35935701214289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0547091204391842 0.0987629721726969 0.0126083069165048 0.0547935216892764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994782205988292 1.03223927992984 0.886659398624554 5.35940492992326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0547096606029801 0.0987536120379042 0.0126123643336141 0.0547931129002647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994986933021701 1.03247076259748 0.886722850267522 5.3612302562142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0547211362721887 0.0987898042277281 0.0126171618083645 0.054834100702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994815827863122 1.03237662543988 0.886370303261997 5.36023604847034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0547499691835334 0.0988227670408168 0.0126287292324446 0.0548659645293431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994134016555852 1.03225805178828 0.88526584950562 5.35848810726748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0550172748540917 0.0989416339053932 0.0127046823629685 0.0550753731592597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.993089209300687 1.03218236866588 0.882563141959712 5.35619163468357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0553212956286453 0.0992766403915952 0.0125518930750391 0.0554478104793999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994329341996291 1.03172802594694 0.886524453080069 5.35545010531947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0547228953262945 0.098804774401131 0.0126119218997922 0.0548375399174572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994575645382205 1.03200462526406 0.88599265654314 5.35749139711903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0547833123894073 0.0988677565548385 0.0126250321973644 0.0549009236460769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.994219445524922 1.03194103873735 0.884692704288733 5.35640830415269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0549425267001059 0.0991370049020504 0.0126179842685193 0.0551299032870698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.989843178015825 1.03137831481651 0.870303284772954 5.34393965561438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0571278395004949 0.101769363800238 0.0127450811232968 0.0574011726263921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.982035625194597 1.03094798618393 0.842759401791501 5.3250977974865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.061769568689845 0.106860674280066 0.0140946770603542 0.0622266299027097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86473314875948 1.80784417033948 3.16299445365171 17.2702249502125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239185349392031 0.363220010562446 0.422710069446307 0.622377098047785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86473599345026 1.80783960503245 3.16298211357733 17.2701238923117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239170048534285 0.363233890394397 0.422715325825299 0.622404069069791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86475176820414 1.80785316836877 3.16281567508472 17.270215644136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239180628899846 0.36320687513232 0.422717133992972 0.622368882820289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86480600355702 1.80793004125081 3.16248432518577 17.2712892153359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239176798852356 0.363186739239045 0.422665390267302 0.622389116530117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.8645489509924 1.80797944794239 3.16152320508209 17.2725934707521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239325866547921 0.363166636478333 0.422840201637414 0.622931861664348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86388129053875 1.80803210191149 3.15496995495224 17.2711584882607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239240100437981 0.363236894792672 0.422785853639985 0.624077704749427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86492971773006 1.80809014021427 3.16210959826702 17.2730520646109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239205195209169 0.363270219340711 0.422745610563389 0.62249076005573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86450174821206 1.80775630786251 3.16149321643662 17.2673783125073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.23931639399289 0.363297576112503 0.422904659454406 0.622717456976855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.86417646552292 1.80785537695599 3.15835579456531 17.2670216959315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.239425099764269 0.363892863809877 0.423217866419717 0.63037832206496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.85633359076312 1.804574684415 3.11629017886646 17.1981377731842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.240590737619435 0.364213385289714 0.429868559478901 0.636581155079823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.84104084818949 1.79825654010864 3.042788804674 17.0731143938891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.242934792756818 0.36477762566124 0.438632614945671 0.645666106078021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562021955005118 0.586735706681157 0.326085754443561 1.77740790463335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0426854554515621 0.0608281788023848 0.00442776666170562 0.020531629474512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562120856170822 0.586828976181145 0.326098670871785 1.77784796891434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.042657209389378 0.0608244403035427 0.00440270842215673 0.0205293432019365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562098890655801 0.586803054615901 0.326112783987673 1.77773331934339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0426671073671302 0.060827838575647 0.00440386887297773 0.0205296749428683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562101514252367 0.586803805757395 0.326094681091205 1.77768357898008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0427039190473319 0.0608474954175861 0.0044077906776128 0.0205350906096544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562131082831029 0.586894961300525 0.32570886623111 1.77771589694828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0429786984286171 0.0611387180277398 0.0044178481728343 0.0206487181936499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.561668159385137 0.586627506827723 0.32488228950166 1.77573167952077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0435014269443915 0.0616549805280242 0.00448165754790897 0.0208641438975011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562280354341619 0.586978410621295 0.326071361006169 1.77851436172215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0427397629798999 0.0608503836275742 0.00442817786964462 0.0205376407237858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562255511543587 0.58695347001632 0.326017888465135 1.77832051662325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0428399746812885 0.060930836595857 0.00443361566529596 0.0205683554636236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562186415147072 0.586947427774567 0.325488972168404 1.77779606155383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0431704484481326 0.0612282496810576 0.00445889046459834 0.0206835104283631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.562251553063449 0.588218780923356 0.320768402119412 1.77968501854232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0462894821159418 0.0639648210189969 0.00487109666497304 0.0219049736553127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.560680547122024 0.589568762605623 0.311797340857739 1.77884457546319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0512950261628868 0.0689346798112381 0.00558961178535345 0.024831968822979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309289411473237 0.300394974116235 0.163508119351048 0.521878747519196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140695803511716 0.0131382207117847 0.000910542721400139 0.00202920592595931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309286128080257 0.300408107251123 0.163499852969648 0.521905878573464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140404539632388 0.0131483903274375 0.000907523836295298 0.00203133539356227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309357611723954 0.300495550365393 0.163482385210666 0.522099653036757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0140540439152085 0.0131626970317549 0.000906919268286478 0.00203374311381867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309347363522294 0.300522644259381 0.163466204604291 0.522139159303181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0141175162538093 0.0133853308579671 0.00090665220799573 0.00209695325280024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309801524097196 0.301227379155595 0.163226309524365 0.523471362008099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0146444977125998 0.0136951638382967 0.0009204182518958 0.00200430467047399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309835596188886 0.301792519077496 0.162696055106348 0.524048353143514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0154442806735623 0.014711612597074 0.000938993351135942 0.00210969111940585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309395453518789 0.300537802341451 0.163532918360806 0.522209211679246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0141048702225032 0.0132285425706104 0.00091081266137672 0.00201941065766359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309377889749739 0.300591946759642 0.163474493165526 0.522215141637842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0142352021345423 0.0133349958310708 0.000914499202206299 0.00199332221818757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309671175700424 0.301151506819772 0.163209824233245 0.523136931070857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.014759377654859 0.0138488665021499 0.000936086194877738 0.00201348399855753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.309929868903388 0.303353039112633 0.160360220751371 0.525179847375194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.018221486344743 0.0173741587367268 0.00115437831912797 0.00227926194328001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.310225699248278 0.305545148424399 0.154683004218294 0.525678447889311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0228851444645068 0.0220099128307871 0.00151300521978209 0.00273805635411932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272595616534709 0.274810961952893 0.189017026145006 0.48919919396484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00891134463614292 0.0127235101581961 0.00140248340882141 0.00377869220971106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272397169159812 0.274626789548568 0.188917853551407 0.488707226848046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00891518915764353 0.0127349083449156 0.00140238920783226 0.00377638640612199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272941962655236 0.275206878421674 0.189387734959511 0.490525752099016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00893952508424047 0.0127633772447967 0.00140322723337379 0.00377517227775666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272864894402467 0.275175299828423 0.189355910277883 0.490404246988143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00901790569468268 0.0128213183524885 0.00140620214581065 0.00375932399195252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.273230348704938 0.275676301029355 0.189006791535756 0.490879352368541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00989933527337703 0.0135443866327236 0.00144071777813831 0.00370067437749719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.274443553499055 0.276970420195931 0.189950563706341 0.494379237834888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0113007585749214 0.014610605724459 0.00150468663254857 0.00361544370163142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272600531130719 0.274864057176638 0.188965683602193 0.489213589702286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00895225084244402 0.0128381360106239 0.00140117637549957 0.00376702696149712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272654866943543 0.275035014152884 0.188956301493851 0.489436416784101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00912339143180594 0.0132942003537083 0.00140489667882494 0.00391831390674832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.272686848856899 0.275285164187004 0.189034984598922 0.489666912918334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00977252188479354 0.0140760860112535 0.00142618858991677 0.00395933978109638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.274408055815486 0.277150098029636 0.187273455878796 0.490957020507687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144085614193305 0.0187010979010963 0.00165748036805572 0.00408898441183499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.279389152389377 0.281885073541283 0.185364456117939 0.499513931482642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0199897643688112 0.0248199322569281 0.00206093476417514 0.00489483574676028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77038841893152 1.72073740535268 3.97243159988196 16.5547974716805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.369893232327652 0.342828339987488 0.889053318338877 0.759027492395286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77003718002972 1.72027717474749 3.97303628357187 16.5487977541457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.369888681512833 0.342811377760614 0.888992940570809 0.759030983810187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77010919916811 1.72036552014583 3.9728905663775 16.5499940782878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.369889980471634 0.342813513140247 0.888986278514145 0.759040184606695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.77003152951438 1.72033225704376 3.97242059378113 16.5493129075675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.369919938657072 0.342788349280146 0.889065240882056 0.759033269381894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76826949599265 1.71934927575227 3.96985206473456 16.5324181651649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.370051480004745 0.343149287400484 0.889177914605934 0.762625086115224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76774481499918 1.71941498807209 3.96677516216666 16.5331044549495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.37014376794747 0.342872875393555 0.889455580798027 0.760962074862194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76993670963035 1.72018133147431 3.97540152654668 16.5503372514287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.369920467624598 0.342808402138194 0.889154762207079 0.758996079646666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76982814306136 1.72034503766561 3.97381928023073 16.5516550514589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.370001727107114 0.342784832926213 0.889364726907022 0.75919068967515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76920426595812 1.71983844842334 3.96969946598481 16.5425907373967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.370066002385522 0.343042174500638 0.889706669963293 0.761286261877731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.76420395971193 1.71793278146359 3.92802204175271 16.4956730852832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.37064825175077 0.343997789716247 0.892227687198903 0.769631406672613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.750763483595 1.70978414743137 3.85697999110721 16.3497382074434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.371323779584886 0.34533791479946 0.895807919731294 0.783035982127622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0865153453534689 0.0861236955458484 0.0238021260661584 0.0534545351581476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00484427107228381 0.00488934280164012 0.0010620928724505 0.00100171803720461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.086679468538031 0.0862435607993773 0.0238516516010462 0.0535823255753941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00485803967613792 0.00500626583505735 0.00105935933426636 0.00106056173067405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0869630116295396 0.086498209355602 0.0239167675093404 0.0538068446775001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00491293462485923 0.00506625707164056 0.00105761855798381 0.00106378267891183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0870692449256566 0.0865711443680529 0.0239254302258265 0.0538034904021902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00509658167058871 0.00549915972843326 0.00102947835612656 0.00120785940306412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.088611336385567 0.0879716515006847 0.0240324071124845 0.0544942035723934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00661451681739905 0.00698255903194818 0.00103554891108931 0.00123102860849519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0899167636595801 0.0891482045881758 0.0240530448014751 0.05489933082676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0084086114985113 0.00889372049811709 0.00107865147141434 0.00133602358109014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0868638759747416 0.0865490769095895 0.0239065780715834 0.0537904388567302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00484967592530979 0.0051984031474011 0.000971969421313782 0.00106319635532509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.087072555488698 0.0868319351867346 0.0238822125187322 0.0538242279361744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00515228749026238 0.00555793997017322 0.000910586925305789 0.000971641386744854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0876577322750798 0.0875489129322598 0.0237879621052082 0.0538959898242895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00631714105846836 0.00688399509515168 0.000900290730562206 0.00099454653200654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0919493291388256 0.092121953420038 0.0237832593954046 0.0556401402425768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0118607759510381 0.0127715273685966 0.001085402022456 0.0011072502619043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.0955224723205363 0.095708084571368 0.0234265358650268 0.0563325317980143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0169987612583194 0.0186235567052976 0.00117538199234186 0.00146482019506114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73860801330444 1.73467254520797 0.994732046678746 13.0233176044118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00980145587277284 0.0260870402450094 0.00194251803924182 0.0179663535709854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73873520306302 1.73487498384025 0.994378264965539 13.0254333299362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00985397619637543 0.0259749698893577 0.00194735062944349 0.0178503668376915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7387932266725 1.7350636403793 0.994141150509843 13.0270489209053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0100456330933711 0.0261690368361384 0.00198536102197072 0.0177967485133638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73895651615887 1.73550997771506 0.993615149455313 13.0308092199647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.010793212728939 0.0264940286957577 0.00203215083159815 0.017649514397308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73909447394003 1.73662491463955 0.992293782886259 13.0363003974922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0168216265590691 0.0308579513779657 0.00256986574587334 0.0174685138844613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.7383100199794 1.73685149074066 0.991033164217608 13.0298611556203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.024152329645806 0.0368778929175994 0.0035746509499834 0.0170822907411251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73839260400737 1.73467329143476 0.995430160061517 13.0219997071678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0104628398008748 0.0261243417354545 0.00201953279626151 0.0174349341080406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73851539094738 1.73506579529759 0.995454867421053 13.0242400779873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0122968228391987 0.0270931775028341 0.00214899046461048 0.0172105134636774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73776296396273 1.73471538937554 0.996652793010561 13.0135494966611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.017891991327865 0.0310385073332001 0.0027646761177362 0.0170676329269797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.73281510578564 1.73296650514072 0.993005354665876 12.9622907379501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0434208536009588 0.0525391655985728 0.00781108604757516 0.0189425039857745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.72026789265945 1.72662554584806 0.982516736511777 12.8483332014878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0689659356322646 0.0739248593641598 0.0162167646953327 0.0237962054769923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06075152532809 3.05233425501187 4.39347872677166 41.7603100321827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0375135430431178 0.0633980010189621 0.0176424422022066 0.022179882406472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06059709593498 3.05217637558706 4.39396713965666 41.7569109031475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377379246403632 0.063219255161492 0.018082123040479 0.0220158595844848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06064394405205 3.0522366128274 4.39330487557879 41.7578221030576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0377612236087683 0.0631070662771991 0.0180473170822732 0.021925770358387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.0606225644528 3.05230461034664 4.39033542520598 41.756940237954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0382366428165413 0.0631447966666935 0.0181554785811417 0.0219760771321744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.05903642828539 3.05179645783454 4.38676671369521 41.7437582322471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0416889497084383 0.0639241249861029 0.0179098840776052 0.0223530129081316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.05725328974533 3.05232936845252 4.37755385973145 41.7527389507441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0473025282814462 0.0660273604780376 0.0195279146259883 0.0234014533616615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06075718577434 3.05249883171979 4.39347394017325 41.7645443198594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.037644785095651 0.063375635105797 0.0172878653264497 0.0221242661471624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.06071987400756 3.0528350905774 4.38974444930458 41.76985859175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0388892622760922 0.0636688713422108 0.017877617148709 0.0223691727300152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.05907647154581 3.05257788078886 4.38676859155367 41.7630832502306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0425482130644301 0.0645940889095656 0.0189073721775353 0.0227791916882256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.04314804845693 3.05104010586226 4.34739716407685 41.7072653881965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0625690943952476 0.0765516223183869 0.0240031786024789 0.0285748226712703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.00579843838516 3.04322778131023 4.2819352080565 41.4814472891611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0855349067766348 0.0968887597549223 0.0327066634135875 0.0409482388233387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503790521781004 0.499378651410337 0.0152186470219139 1.01253345607125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00604500528299442 0.00603142208125694 0.000395353111262985 1.3523146688948E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503806736660022 0.499359697741286 0.0151476269842355 1.01247449186576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00655806710758018 0.00605682239789088 0.000448896271581471 1.3507499974475E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.5038197052966 0.499340290349214 0.0150781866290248 1.01241729869552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0076046686768494 0.0061001645063592 0.000528292950811424 1.5405736540432E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503839364259524 0.499300332745962 0.0149440957811508 1.01230909489069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00905867935358732 0.00629873815391087 0.000616125027425933 2.50713282263948E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503813389190651 0.499126683053671 0.0144739097712054 1.01196413898886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0173959791502871 0.0105849003484335 0.00179653990651694 0.000164153603566843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503614582205387 0.498931588235627 0.0141122724826576 1.01176083088257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0253517981756862 0.0163087114453064 0.00286601279091272 0.000488872390465248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503879672796444 0.499204013144629 0.0148349810359833 1.01203545627308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00795454094988898 0.00640220435541959 0.000622670959379794 2.82829720400949E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.50396135047207 0.49904245477023 0.0144786556243863 1.01161362872332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0110010907030287 0.00817101494730309 0.0011054520830814 8.29576340920146E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.504095498418412 0.498757696213019 0.0138477363530203 1.01099341153107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.016554286545432 0.0140961749927515 0.00179515047448055 0.000346193551948263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.503772881433749 0.497083136275194 0.0133174066308614 1.00780058371811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0422556916867975 0.0437499234032167 0.00821953470534209 0.00482768459872698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.501202014843054 0.489158131569681 0.0210895839533557 0.982918483381836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0631667215631133 0.0762282259318292 0.0135143202602049 0.01656454064941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21214561693234 2.20670408503741 0.325864298178079 19.8087866609748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0306660030071692 0.0128614713992205 0.0242020650241451 0.000477741485117205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.2121280756211 2.20671307335465 0.325899797899734 19.8089551456361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.030848703232155 0.0128988328587448 0.0241982197334513 0.000477683054198958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21209090914855 2.20671677896397 0.325933761977296 19.809033049513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0311200765286221 0.013009346972694 0.0240973534404117 0.000481917474960136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21196386627693 2.20670774681537 0.325994871991851 19.8089050991113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0321604685853703 0.013367362120155 0.0239976486144509 0.000502213262357191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.2107649533513 2.20645532164817 0.326204394318573 19.80467029169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0412032539247875 0.0172775441039473 0.0271264079853448 0.000769188176506205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.20843840326807 2.20585861766372 0.326346172431423 19.7945113785796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0489880508919257 0.0237297979049959 0.0286660700867293 0.00137479287163902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21202630023044 2.20622727258607 0.32607625751874 19.8005374736096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0324460575466019 0.0131956871802707 0.0244458144129729 0.000495998641346221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21171652808753 2.20569039308892 0.326266307725429 19.7912503800553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0348607464956414 0.0141505272251626 0.0241145263729143 0.000555320205067593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.21027162577919 2.20431656305364 0.326504818037345 19.7673367179701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0414470188059173 0.0176931076588414 0.0255913896428383 0.000820848307825137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.19737046266603 2.19704736924998 0.326486003286958 19.6421064050932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0670398674405462 0.0386290660816666 0.0329908440783499 0.00388225366987979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17176848905188 2.18621578451507 0.324107926135791 19.4565607371772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0943141658758617 0.0617416118111011 0.0454491464019541 0.0108586479812029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53208252506159 3.54368123584819 5.50734555765047 56.0776565703818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0185752458573292 0.0678288532883 0.00452926885207157 0.0216403069657067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53207850072538 3.54366979190425 5.50724406893035 56.0772865230192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0185983104026986 0.0677879366688751 0.00452682840234165 0.0213895735223253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53209326660192 3.54369230832899 5.50687000128634 56.0776373374667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0186571751847066 0.0678661219160015 0.00452096644227025 0.0215103138389615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53191883949362 3.54357817051757 5.50646692242742 56.0742775843844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.019025067555161 0.0679204874687297 0.00453622991533576 0.0214999439436041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.52980231801955 3.54225618462308 5.50456780218659 56.0372648154446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0234470128365438 0.0692402582880431 0.0050617170700117 0.022282707547076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.52527589860129 3.53937927432781 5.49062478157799 55.9463998492939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0294253762840935 0.0717387066214056 0.00590887068630198 0.0235351331516998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53183597078539 3.54357481229266 5.50738140176626 56.0746357469749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0189048017395645 0.0678346638047888 0.0045687916312058 0.0216526663016802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.53114545508716 3.5431770785452 5.50674842761773 56.0630035410144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0203148041061435 0.0680511726700345 0.0047235037775958 0.0217593645753489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.52899098496953 3.54203077088617 5.50482990880594 56.0301421479994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0245909140476132 0.0692852590203706 0.00528912833146245 0.0224832123447493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.50865451206528 3.53156437205427 5.47635108088848 55.723748987219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0460518266356932 0.0823412033213215 0.00950081439470754 0.0297916641320812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 3.46850777204262 3.51055337057023 5.40137869203789 55.0933259533823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0688166271708001 0.103348328542904 0.0165584923938497 0.0445619726705065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636519790486667 0.634133245217987 0.562456813993772 2.1649992306703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00659094034289797 0.0118985701017511 0.000861646121338586 0.00672333764836577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636521788639129 0.634159684429239 0.56248215959438 2.16506361968874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00668724572061523 0.0118871757178153 0.000859866135485556 0.00661301344465798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636485710861529 0.634207494624772 0.562521398963344 2.1649855693679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00693500770709623 0.0121254427467239 0.000865956235484866 0.00660220488510637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636730481032388 0.634725545471346 0.562437380553299 2.16606221913477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00788616495891209 0.0131249373492946 0.000890502251204852 0.00658195856732217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.638818158893887 0.637566068420598 0.56197903031744 2.17127948311335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0144072332118393 0.0199404935905845 0.00141284567459665 0.00712881012338873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.641967939752381 0.641244185307692 0.560868077180876 2.17959454693968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0216594149669032 0.0275963234957347 0.00211967779264904 0.0080592172815963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.636827081055733 0.634599256051961 0.562424807687765 2.16620461891977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00756978140725082 0.0126442097239044 0.000929817773497655 0.00670195429205231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.6379152535502 0.635879724199183 0.56226506160168 2.16958949569412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.00999358073950426 0.0147829912461077 0.00109919233907669 0.00676875457703446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.640660383148004 0.638774714706472 0.561799784459733 2.17679163285421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0158039729996694 0.0205103236660142 0.00147009281290781 0.00734891246276829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.650352997803314 0.64899356905226 0.557764569369657 2.19613320078963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0414243795626105 0.0451848512936829 0.00558509007912132 0.0113345532304865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 0.658824027097117 0.658972607732487 0.549035936745546 2.21275344308908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0667230544791527 0.0692826264343912 0.0130091981009312 0.0175343306997702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00331929493056 2.01552958281035 7.86997066628059 24.3568884824055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0157906531331055 0.0513914941414767 0.005744387539741 0.0201426972276874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00357554076135 2.01580303437206 7.8708229784347 24.3620463465777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0158214829732248 0.0514261818651841 0.00583411173232721 0.0201823943120295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00400435646873 2.01627958346073 7.86972549848055 24.368403941301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0159669842289252 0.0514196298925896 0.00591281395789398 0.0200850514775125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00479637925788 2.01719747168538 7.86853812064388 24.3808401591185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160859460390381 0.0518786857068953 0.00539275564477905 0.0203740334141331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00581779284462 2.01848975156005 7.86074494483214 24.3842260637421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.020259152090693 0.0550471243774444 0.00539837597958341 0.0207737069343592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00623506313189 2.01913180401474 7.84622810289492 24.3696736272966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0264137611284756 0.0599083743953232 0.00585740647342502 0.0214506954183131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00375138437843 2.01600265566724 7.86742941036855 24.3617639840842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0160161079744668 0.0516408332625256 0.00575413481999896 0.0202763831919597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00438862200449 2.01675361303304 7.86289271238022 24.3669906104779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0172325101930027 0.0524342078704889 0.00619978424619029 0.0203393323972847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00733643015296 2.01978485099401 7.85068816008844 24.3969481888471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0209546851815993 0.0555471626679513 0.00588669054418958 0.0208248043163178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.00993527254016 2.02216119846882 7.76392496900809 24.3379329510244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0433143230797082 0.0743826065589255 0.00816433268852143 0.0268954706942901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.0007683786353 2.01382220719506 7.61001134310534 24.0777374570199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0674858439215352 0.0970648625059785 0.0144778634451659 0.0409260257470968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18342569789683 1.17679277321217 1.59128616904937 7.11104267022128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0208613290892453 0.0149287437439205 0.00978111778309072 0.0036897214245099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1837837382588 1.17712825735042 1.59177307362963 7.11466503949448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0209112079138903 0.0150239828446796 0.00985897419392836 0.00376756151275632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18373853803891 1.17706444883784 1.5915750318744 7.11376330509102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0209657070813106 0.0150585856559858 0.00984872618806094 0.00373326794975618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18370516020133 1.17701822465207 1.59121700682326 7.11244634476815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0213116380797846 0.015382106406049 0.00993937035463758 0.00371375951527401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.1863168405982 1.17992942250592 1.59176209299648 7.13418993038593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0252841815235852 0.0194887922846533 0.0104501414409892 0.00416063193196874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18825625991988 1.18263423735202 1.59044302922478 7.14895396676369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0316116512738503 0.0257706069881833 0.0115968571713842 0.00478589523368933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18350411333109 1.17688535579733 1.59146769437347 7.11172220393907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0210343118902322 0.0153552796257526 0.00962307041028643 0.00379504627515902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18412212026791 1.1776827323033 1.59111989990062 7.11708412205751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0220716479103978 0.0165332695720372 0.00967724669255238 0.00390895522278779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18514814098908 1.17931267560837 1.59006836539263 7.12502366483181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0258863174939874 0.020944067818157 0.00996037511118074 0.00454619622408645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18639410168734 1.1862600834471 1.57584876774394 7.14449836715246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0494823792788988 0.0451167178586004 0.0153938748927437 0.00877973865549768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 1.18217814633458 1.19253301019711 1.54306056339268 7.14338595787763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0737977239292951 0.0705066676527027 0.0226840602356676 0.0172911758385042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18108272617427 2.17524137893301 10.2166888395159 29.448260845727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0531700935478957 0.0750843191622719 0.0261487014364529 0.0441250304750585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18093886852421 2.1750612501682 10.2164861942117 29.4450551528367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0531798807486151 0.0751754570160455 0.0261668429491491 0.0443418850284814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.1811390242699 2.17511758355755 10.2155089895731 29.444122881182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0535322336191195 0.0752129669659851 0.02904054046572 0.044302942560181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18134299296179 2.17531814301742 10.2167735841624 29.4468398356625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0537292121862 0.0753538255719551 0.0294921959095578 0.04438539793476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18282837305737 2.17727981402976 10.209429168598 29.4685622876828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0561209539886057 0.0773247683605004 0.0299711241645152 0.0450612999646502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18242080344619 2.17733456184943 10.1821851308538 29.4401440896918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0602977901575976 0.0807707131563719 0.0309177492912192 0.0459961825200952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17934982011522 2.1733894634127 10.219187118056 29.417257689834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0536014555215097 0.0752612062470338 0.029046279456241 0.0444252160534334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17915667318516 2.17334050820989 10.2137617978092 29.4092308070229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0542058655903482 0.0756360685257183 0.0292151253251608 0.0444259169428561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17731396626376 2.172083981849 10.2062843798686 29.3744277261521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0565598034780933 0.077662239683055 0.0296987514812919 0.0451023251208161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.16816659373463 2.16516073215943 10.0863529805937 29.1374309348285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0728141416684359 0.0938936216712172 0.0340998905939671 0.0525243484415284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.16275319826377 2.1613706185905 9.8360967555466 28.8825984482165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0935601514612192 0.114229053236053 0.0424232477159335 0.0656827405412347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18816646003922 2.18151276234684 0.164636878239897 19.2026215691767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0524701085286132 0.0118289647942203 0.0528298971372312 0.000320620014383668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18816662708082 2.1814844515728 0.16465554744382 19.2022517706336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0530999206358625 0.0118957465050992 0.05314140293127 0.000322441741330957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18814672986141 2.18145076353463 0.164675330190897 19.2017926438648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.055956221289392 0.0120492445253457 0.0561461719747504 0.000328390393993861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18804289087247 2.1813665703862 0.164717924619753 19.2005943327362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0576046099586789 0.0125483438943875 0.0567541125597881 0.000352069896374077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.1868418369331 2.18080996363642 0.164907424656544 19.1921456420985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0637424757377363 0.0164354526890371 0.0579348644179504 0.000609968194051235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18436248331165 2.1798977523915 0.165133951545297 19.1777909378288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0689154774410435 0.0223661648054588 0.0580268390780278 0.00116485636138947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18797721260011 2.18169173106803 0.164564468271499 19.2056122626794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0549919265057704 0.0120475434078536 0.053537336327113 0.000335177995551387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18758904966619 2.18181411190862 0.164499652904094 19.207667423529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0588045573761284 0.0129401629071928 0.055431516453331 0.000390577123827979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.18622534857197 2.18188264226746 0.164403055949327 19.2088589341056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0676741932523451 0.0165110561066147 0.0614196899986648 0.000640149536496066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.17291371345614 2.17968982979149 0.164581753360318 19.1728929774485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.0887869544225371 0.0382541900393699 0.0688750110432062 0.0038073902570419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 6) 2.14586979884996 2.17305877476466 0.166082755827914 19.0632528065451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 6) 0.114770991977572 0.0618252639878939 0.0915294029559608 0.0109499332007987 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122397224455912 0.0466722438728126 0.0175833351824983 0.00546547288159079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132141220403566 0.0480107374404857 0.0219378593813831 0.00615955066362333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122350544049997 0.0467311816268216 0.0176050144645539 0.00547114920487449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132087420597072 0.0480746337200043 0.0219650761185842 0.00616841937268264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122351833106565 0.046734681443846 0.0176057158234019 0.00547120349369519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132088194276545 0.0480776663805605 0.0219664382936048 0.00616901879216108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.121955426231353 0.046532924137713 0.0175196345407492 0.00544274318815436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13166112037074 0.0478698247043711 0.0218482422175932 0.00613448502176922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122205261837882 0.0465800634011837 0.0175439136443368 0.00544412541883485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13162331537386 0.0476759510480188 0.0218751091687766 0.006109007678211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122759153780705 0.0466505342539612 0.0175908536455121 0.00544676755878105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132022504177917 0.0479042216885754 0.0219128102333984 0.00613353444201737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122431705967009 0.0466492175566958 0.0175848991509958 0.00546058073007356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132167463456883 0.0479899270828261 0.0219362671033578 0.00615540222516778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122176033682486 0.0464258170046331 0.0175207405122969 0.00542438028932742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13182193947003 0.0477461921549506 0.0218428841722211 0.00610904243795854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122514803931861 0.0463958766667355 0.0175407797691913 0.00541489030442921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131843437287008 0.0474780640541262 0.0218540415552925 0.00606807604988717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126122600026825 0.0464416588449215 0.0177623031298011 0.00538244153949148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133540598361956 0.0474594949130698 0.0219926938834371 0.00605286340443898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.133679448810785 0.0464296528254455 0.018232252263508 0.00531388548348464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136353585196814 0.0472190591824659 0.0223029846067965 0.00598637864266178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.590695579328187 0.629727489317999 0.231680812574441 1.947755985926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180535784350511 0.239664004811097 0.0497452691228927 0.276895294416699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.590697836533707 0.629727610074996 0.231680200974594 1.94775818179093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180536502628035 0.239658516495303 0.0497432103304948 0.27688787198988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.590696962368591 0.629724180204529 0.231674093580354 1.94773927225034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180535164652366 0.239621898440537 0.049739897907103 0.276874737509858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.590684125667592 0.629707126899771 0.231645815984433 1.94764100719436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180543068704869 0.239659996806932 0.0497376460797427 0.276905570606802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591040037944579 0.62988943398848 0.231156067589042 1.94794114531039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180692263809098 0.239522679196027 0.0497429031562106 0.276746886106824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.589522886670349 0.628474710948775 0.229590923054285 1.9398479232138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180714505934443 0.239643344670648 0.0497839375197146 0.277040743459085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.589781946158357 0.628881304905067 0.231653794049207 1.94440460099297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180843328160746 0.239982326944885 0.0497941449829802 0.277548102456429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.589742122739791 0.628823600227873 0.231555844235883 1.9440594176566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.181073033938767 0.240037448139568 0.0499004000048606 0.277656821853069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.590845233187245 0.630501966200563 0.230928667274409 1.95205191483808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.181403031073403 0.240635403531655 0.0498646958751236 0.279091087991507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591597382751591 0.631210735405185 0.227414867275563 1.95283252844751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.183216618372261 0.241895537196754 0.0504651769336514 0.28341883159869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.589610972570835 0.629078892343641 0.2195225699288 1.93593576240312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.186420749699606 0.244935839945721 0.0513893289697286 0.291870547886127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291681371876067 0.0101907791775269 0.18109678535732 0.000101327132780836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346288814534482 0.0155280039136523 0.268483550096661 0.000883511408219952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291684622294458 0.010192298684505 0.181094909730697 0.000101305622506701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346287513672272 0.0155255148204435 0.268481422483595 0.000882737809837717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291691074344375 0.0101929533948719 0.181095566286982 0.000101273885998945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346287493607532 0.0155232944322399 0.268480427066106 0.000881981897802504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291916614901461 0.0101966546101092 0.181114051981107 0.000101307474175972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346387596423464 0.015333047866777 0.268338061756481 0.000856721614921818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.292130866341757 0.0101571939027573 0.181251646113349 0.000100534549841502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346458643635083 0.0153169909382051 0.26839338780085 0.000850875787244328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.292778869381352 0.0100908129715875 0.181591348779276 9.92945226133642E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346840978261034 0.0153431837760096 0.268570351017081 0.000852161475037733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291677747622639 0.0101937400155915 0.181092911770745 0.000100907788140463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346303578724193 0.0155923951478646 0.268492418256436 0.000884453552457166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.29170073147962 0.0101882074139832 0.181112874088231 0.000100445107338022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.34633251928846 0.0155978621132571 0.268514769273112 0.000884612259460248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291826945052846 0.0101523118476612 0.181223786165708 9.93974818913708E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346432732693245 0.0155405730519124 0.268599416265359 0.000877092018006687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.294181370607855 0.00986579351137653 0.182821880111816 9.44741329324376E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.348133351307517 0.015338883274779 0.269690482609514 0.000815726153884426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.296330523313616 0.00917639753775274 0.185175961999664 9.10867514136101E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.348593674255517 0.0154518612732152 0.270668960692446 0.000812383529139649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.596307387316065 0.628985070316945 0.199899926776287 1.95870232289103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214831020559524 0.266509019634783 0.0746415046833605 0.323436395521417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.596304842905813 0.628979894556137 0.199902530000831 1.95867741934781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214830619085976 0.26650764111103 0.0746408394787502 0.323438633141226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.596300259049745 0.628972788544607 0.199900266846084 1.95863854841289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214831998543522 0.266508509819793 0.0746406018913453 0.323447164896216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.595558547654612 0.628015860337627 0.199929322255716 1.95382915627532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214735718775428 0.266194201646649 0.0745254621683264 0.32277036078574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.597406993535834 0.62981478604431 0.199531652872805 1.96319319173991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.215620551564047 0.267287497908905 0.0748249751940049 0.32492411317679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.597145193150364 0.62954050018601 0.198944792259289 1.96130296410841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.215838508411204 0.267518176509184 0.0748736243577327 0.325693617431653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.596316578645395 0.628996459582022 0.199890438928361 1.95876308738066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214884059065349 0.266537842976454 0.0746349777019798 0.323479942389599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.595169493413808 0.627853160379966 0.197894056430228 1.9516546776844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214917020697901 0.266733608574175 0.0746783539919022 0.323652414320396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.594804917111897 0.627526017893474 0.197202298700525 1.94882575089683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214671682178479 0.266449641125432 0.0745207960211762 0.323141772022568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.593729412965571 0.62638363329608 0.194146433410224 1.9407218597204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.216477247703925 0.268136350254395 0.0749297962124024 0.32789560021588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.592125408816507 0.624587721130504 0.186333544328598 1.92535631304404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.220559977029423 0.271499611225708 0.0760956301503335 0.338223358028507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487564196042293 0.439319752381038 0.086538076114041 0.908475935350081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.242459816499979 0.168221999624685 0.101652399005007 0.135584192739838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487565074016342 0.439318898247037 0.0865386192525084 0.908480241594626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.242546846243188 0.168218634906563 0.10171416385535 0.135584659663307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487566930908951 0.439320206381887 0.0865385775257327 0.908490696888299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.242545704716386 0.168057013280802 0.101713843107486 0.135474905278889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487913023402077 0.439954127366635 0.0865888724565749 0.910662741508345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.242478895052423 0.168458894846452 0.101853128476907 0.135919338593232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48863250349032 0.440714818220915 0.0862722815182055 0.913267395407614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.24281527653465 0.168962309698668 0.101909528583147 0.136653350150997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488989007831549 0.441092844573326 0.0862965481103152 0.914650817376856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.243316173866783 0.169354968657908 0.102040750171046 0.137352365991309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487808158476001 0.439424591396802 0.0866320559356479 0.909010962501353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.243091151555435 0.168406572640046 0.101932182428319 0.135828042873224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.489270694544488 0.44116284326231 0.087301383463962 0.916322166196748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.243001813540756 0.168689901673829 0.102031585699622 0.136201677573431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.489935635705395 0.441931050771282 0.0871990909457147 0.918819844244688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.243283279211112 0.169091918678312 0.102226733560565 0.136759075981075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.490041022433482 0.442349702905572 0.0862115620979301 0.916866283453574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.245340851137684 0.170854175282178 0.103178096854099 0.139812944704555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.491105056505084 0.444339431863574 0.0848218490306897 0.919419990232539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.248431161602602 0.174142381374913 0.10424202839443 0.145834616312792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459440843402219 0.472270733968405 0.13723296226877 1.1251068059873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145511187099818 0.163697397612714 0.0334892162864961 0.135142950188374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459433016400182 0.472269780898805 0.137235151711467 1.1251093019527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145500791173006 0.163692496605598 0.0334873552649042 0.135144718040022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459892101725444 0.472737798135541 0.136893960146142 1.12668639126577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145491452102467 0.163692038358637 0.0334858625506453 0.135150747914231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459800361887022 0.473255816415411 0.136671398217508 1.12846645563161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145335664098606 0.164090653205005 0.0334358939155534 0.135647363118139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.458287582568188 0.471945024233745 0.138387101097301 1.12475523374879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145431083948796 0.163954592990981 0.0333503584359833 0.135578534092733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.458187031523902 0.471941304491578 0.137921723291958 1.12456203410321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145358995886928 0.164260441071017 0.0333952408483225 0.136272823373214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459458684273893 0.472255415385603 0.137233001663295 1.12505063837881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145525662364482 0.163674147998672 0.0334949825395926 0.135132474724163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.45965160261323 0.4720346667277 0.137388980240705 1.12592504067774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145304456325216 0.163058207305183 0.0335023185541405 0.134069813265587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459248615778119 0.47198579437334 0.137291826207926 1.12599081456919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144747064402664 0.162864295676264 0.0332695065932046 0.13386316679466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.454509809336825 0.467252892785928 0.131631879691204 1.10217113724345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145849958561333 0.163437735643869 0.0334930106807087 0.135472574821895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.448665247031478 0.461438756970388 0.125516283435199 1.07388920474965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.148545236826705 0.165725001529635 0.034281552063162 0.140249296580372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.666662761105384 0.709100109241104 0.196276416000861 2.28492053272667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10741012136151 0.160392134918048 0.0180942590964852 0.124848320374184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.666049229009515 0.708052711797733 0.196229059809078 2.27927402908137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107777262784787 0.160304288385457 0.0181281554356054 0.124618640316064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.666037543931986 0.708043425968402 0.196222852991538 2.27921198263771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107609623037405 0.160310307049767 0.0181070259050882 0.124625858488713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.665425303349781 0.707849918583322 0.196264551008134 2.27848219284178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107648596604772 0.16069486223877 0.0181596341435989 0.125142115517105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.664888065034191 0.706500767556272 0.195890467936119 2.27056299511973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107942958324555 0.160588885457663 0.0181887233906772 0.124952724470519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.662762273319351 0.703774729814443 0.195540479593217 2.2553799209188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108225891506641 0.160526335207864 0.0182020169044255 0.124899341047458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.666056459395866 0.708915592562453 0.196330219098281 2.28424584656778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107318636785249 0.160591828773829 0.0181014594056685 0.125150361640742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.665986465241906 0.708839898102818 0.196265800686241 2.28377232799263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107385871704378 0.160650127778034 0.0181326722231237 0.125223356557442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.666522651953327 0.709071661775601 0.196475156125993 2.28495992380964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107164180271822 0.160738007790798 0.0182052104068158 0.125235998206209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.662785379290753 0.705661565573441 0.194306765499947 2.26427130806715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107965805662034 0.162082762339791 0.0185846554447518 0.127584844481591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.664473117227935 0.70641443487074 0.187610957030913 2.26231099054128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.110916511662646 0.164765841586453 0.0192134590260238 0.132444434141358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482855154062631 0.467247474494132 0.0886031267528091 1.04322557683057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165199177583858 0.13404032661753 0.0435077266982915 0.0871364538828441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482858058985067 0.467246403512846 0.0886017324375361 1.04322556727847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165200740843196 0.134036646664044 0.0435029891071043 0.087069727204177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482862514016297 0.467245993498075 0.0885975205505851 1.04322519578757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165183143300136 0.134144585106315 0.0434896638856627 0.0871656275251465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48287548683075 0.467246934928306 0.0885806723756179 1.04322326698914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165234779011163 0.134011703449798 0.0435046259377378 0.0871409293837375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482628139351081 0.467293360938102 0.0888805853891127 1.04350042557621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165085244184434 0.13422655674964 0.0434910218751434 0.0874176076174291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.483025689490894 0.46749414365912 0.0883914430842524 1.043850222069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165366805997661 0.134848570615691 0.0435656935279309 0.0881119036904213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482833291097866 0.46724463267579 0.0885942279844001 1.04317654893951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165218259470683 0.13406781275127 0.0435274110696381 0.0871601208446192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.483368881677624 0.467838933783993 0.088180207054006 1.04510046598143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165172970183458 0.134155882885957 0.0435078576704334 0.0872244571339932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482895236292385 0.467308845709117 0.0883786397053254 1.04311086925544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165088447547084 0.134564921427803 0.0435552797365582 0.0877120178564398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.484294331393854 0.468560651457963 0.0867153006918451 1.04577351887748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165690237194066 0.135599118410203 0.0439631245475782 0.0896374008868557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488829534392566 0.472262688899803 0.0828773900820479 1.05553604802036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.167974990946342 0.139082932819986 0.0447540039837584 0.0943175705913603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.599369275127798 0.643237362450419 0.208375782808104 2.05963619071922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.21492519249033 0.287547251983744 0.0712984911735129 0.375738170013268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.599375979470472 0.643244518639888 0.208380442510526 2.05967110427167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214929389154301 0.287673281998596 0.0713019556112982 0.375798824009549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.599380137476843 0.643249202917724 0.208379345699102 2.05968909909455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214935352541772 0.287678367029137 0.0713058276842339 0.375804765201416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.599544963814171 0.643301166729971 0.208342936072722 2.05993808374897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.215037153967773 0.287564164338562 0.0713590181026109 0.375475866716719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.602310821047068 0.646176042725243 0.208212754060356 2.07467711371686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.2157363204321 0.288572326364176 0.0715912619536164 0.377620901042661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.602869907703694 0.646924861858587 0.207523464956686 2.07797484845127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.216245110433023 0.289239854681826 0.071773823413583 0.379327034423696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.599353247836634 0.643371031418914 0.208012371493895 2.05965621397399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214708826572174 0.287355270231784 0.0712868520814287 0.375178914295923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.59912666130491 0.643098410301612 0.207612987573288 2.05757177589038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.21453779721859 0.287008976489306 0.0712020412638887 0.374429569006349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.599006212572621 0.642977967762089 0.207223510736662 2.05661655857485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214723658081793 0.287148932703644 0.0712456241395058 0.374874195840449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.599708386976723 0.643235875164448 0.204062857101002 2.05515445866492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.216560584438833 0.289127964854755 0.0717576974415487 0.3803783694254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.597107101657537 0.64189211009638 0.194551495548129 2.0406595217163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.219735305917287 0.292896390366796 0.0727521105778535 0.392738322782633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198559661738845 0.0103078105729973 0.0582218120358716 0.000489720858889184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.218945398259973 0.0180077809562995 0.0791921342560776 0.00147021114940635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.19855900995696 0.0103080053251753 0.0582223912337482 0.000489737140647523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.218946594779507 0.01830819177731 0.0791954417788656 0.001511261230219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.19856245954976 0.0103109821679184 0.058224104252637 0.000489984720851419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.218949169841538 0.0182416206859521 0.0791991132763849 0.00150819196326657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198811178542094 0.010311077049657 0.0582508302458541 0.00049005896935926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.219047649499016 0.0180634749757885 0.0791292533819484 0.00148664706518977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.199291970587833 0.0104614142941887 0.058349526275904 0.000503769185921926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.219461361008158 0.0179372595647396 0.0792706049760812 0.00147982426847128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.199528047295855 0.0107908545782091 0.0584548172487984 0.000533732951274555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.219497035620829 0.0181940209477955 0.0793652487992603 0.00151772084716156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198598740834168 0.0103228680536946 0.0582352867325691 0.000490545405094069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.218969887061751 0.0182770897926657 0.0792079697791657 0.00151047838440753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198683059253862 0.0103608446020396 0.0582612138661855 0.000493497559797823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.219011853054152 0.018276441206659 0.0792298144726829 0.00151176655023642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198973750458787 0.0105017705340423 0.0583465168516912 0.000505716895726964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.219141379183909 0.0183528515233045 0.0792862571513671 0.00151475595331677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.201939251538281 0.0120122789619099 0.0590489927263925 0.00064948230787505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.220321218553398 0.0186645391005341 0.0795169129773525 0.00153522693650846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.207691624787003 0.0149592286247382 0.0607462276911279 0.000991705687105804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.222915406456005 0.0176968915130143 0.0803116813277992 0.00140488465541674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.089807565759177 0.0321354965748295 0.0112368888355108 0.00319275675372979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0973987549588644 0.0336025086284573 0.013435942808695 0.00362870418597946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0898271999544597 0.0321349548466793 0.0112388638851377 0.00319270909453991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0974131233657622 0.0336022357107072 0.0134366124174797 0.00362802687134597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0898497829679378 0.0321346405893369 0.0112411259231674 0.00319268547782101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0974289012041987 0.0336020936697502 0.0134374568227926 0.00362737699007842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.089904249810006 0.0321470757015253 0.0112465359712912 0.00319409081202194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0974718856730975 0.0336171601138265 0.0134401471919549 0.00362826939145917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0901971678814734 0.0320372178970159 0.0112921073339316 0.00318414811996653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0976077346257033 0.0334906099412708 0.0134696374006102 0.0036095740517521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.090735228562822 0.0319953633785682 0.0113581871036492 0.00319109849217301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0979152745686253 0.0334506129866205 0.0135151565300286 0.00361324848571004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.089818836515662 0.0321721450376377 0.0112562776198966 0.00319706842367722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0973676072854703 0.0336587013605724 0.0134579353918828 0.00363740990044384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0899384921853687 0.0323353250379773 0.0112568014054086 0.00321832139846758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0974910559113904 0.0338616563388171 0.0134591752204961 0.00366940620702031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.090058967653568 0.0322038504642787 0.0112949631006914 0.00321110246908912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0978155098208963 0.0339845301479952 0.0135113518287882 0.00370071797493682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0921580666018551 0.0325035446140922 0.0115538222526432 0.0032642793988208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0986800483120267 0.0340973723515372 0.0137088991379248 0.00374230544750638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0968326121593379 0.0330912689244484 0.0119882549869204 0.00332490630912309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100566954899165 0.0346813021619495 0.0140012017726575 0.0038336465067682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.631182103077801 0.689070051186274 0.282190060040976 2.32569728690452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133843217330699 0.212338102507877 0.0306256891052914 0.217106465325919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.63118539921023 0.689068484468921 0.28219403799149 2.32570334606999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133844350641425 0.212338851164965 0.0306276547568228 0.21710733383446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.631186561770025 0.689063977326692 0.282191787304171 2.32568993910958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133906332118692 0.212340945347466 0.0306518437717892 0.217112206589785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.63241552130003 0.690282100060201 0.282983903783927 2.33253977619499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133851077106027 0.212351047539748 0.0306336517465571 0.217135139130583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.632557659347733 0.690165837003133 0.282328916809804 2.33125146787904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133941138686425 0.212083469826478 0.0306946467384257 0.216899891937089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.63248950418977 0.690036708860409 0.282930981619043 2.33114952386729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.134228672083811 0.212377827129905 0.0308158651755959 0.217549202884881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.63087655493589 0.688798247159884 0.28246942422279 2.32443690222354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133837448320992 0.212329835062448 0.0306236620306182 0.217120221447764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.630803097023614 0.688744673391981 0.282365697990249 2.32410925082363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133850896260513 0.212530632080217 0.0306269422683325 0.217435616074078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.63106059171993 0.688909923980882 0.281290502191481 2.323756487704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133757045259317 0.212326522174536 0.0306068956303836 0.217131171869594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.627501765307724 0.686278380123027 0.276975583113877 2.3076359489856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.134783133143826 0.213830711126903 0.0309385554730564 0.220859054376834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.622772645981128 0.682499326945574 0.26967602532414 2.28340874013602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.137012362854978 0.216869076569293 0.031641704435106 0.228243135361234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310162898928048 0.0100094125434584 0.183681781647438 8.76257312986943E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.361966026138377 0.0152061231260558 0.266131502099514 0.00100324504768894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310158873721045 0.0100200713244546 0.183677115658 8.75466819124406E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.361969003060137 0.0152121394806896 0.266134060654552 0.0010033863069509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31015773302429 0.0100297811909365 0.183674600538718 8.74639366419161E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.36197343836123 0.0152182232429632 0.266137873018974 0.00100354749761655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31016386827081 0.0100454235604333 0.183675607073943 8.72869344208923E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.361986230550257 0.015231066784253 0.266148528137441 0.00100393141535002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31030294187254 0.0100686782224601 0.183762804040426 8.64530758674999E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.362095507258913 0.0150499378748439 0.266236743676296 0.000967959357524418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310634669396677 0.0100403956008643 0.183985258927418 8.5513144667758E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.362258880708714 0.0148330840335446 0.26641242323691 0.000911753304696056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310151772519849 0.00998214014968636 0.183678678800641 8.74541510347406E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.361971008897562 0.0151839601125646 0.266134674788615 0.00100395586678315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31017137776289 0.00994030019152668 0.183699443264007 8.72685519876729E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.361990368627753 0.0153450717783665 0.266149489313898 0.00102390821465986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310610847097506 0.00983358856421756 0.184041634370575 8.69803873089907E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.362509500207143 0.0150922789611331 0.266572863481577 0.000992936741238141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.313379663148597 0.00926059706801247 0.1860527751367 8.81323326335973E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364439807854499 0.0150691436762317 0.268095961044677 0.000988791416052401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.318472344288376 0.00827343046113008 0.189457604382668 0.000104757378704508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.367419652944626 0.0150809082585528 0.270124207488626 0.000977533808304653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.618662367744982 0.630129855843377 0.271739271488249 2.05246624296474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190701316525053 0.225344653010308 0.0556414956338159 0.23968107870511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.619526163261689 0.631022867339584 0.271579601029238 2.05706768102137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190938535496482 0.225651956988744 0.0557003471683492 0.240174489155395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.619527654957897 0.631028759125665 0.271576102540931 2.05710374377524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190941698612711 0.225709613677116 0.0557043684809489 0.240196570323531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.619527987308071 0.631033647055228 0.2715477379013 2.05712873933162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190953649187468 0.225686248450594 0.0557136507069643 0.240179932410737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.619491354567606 0.630963132398066 0.2711509840017 2.05659657988832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.191116727487586 0.225829322703612 0.0557672895836814 0.240483318270412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.618210993241673 0.629468524578811 0.270843445403216 2.04870397527539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.191287306099632 0.225779586104241 0.0557544738244999 0.240571680119003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.618683668156655 0.630136463748463 0.271700169409904 2.05247136094689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190740516365463 0.225415889400098 0.0556577417610519 0.239731717391107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.618700766630144 0.630117470248446 0.271584706894771 2.05230342177475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190659074381161 0.225440251111394 0.0557206159660227 0.239806585291939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.61948417266394 0.631251883838451 0.270690329646333 2.05726596104263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190877288093623 0.226171832800023 0.055771174611858 0.24089003055304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.619690504794451 0.630345580831625 0.264371055560087 2.04874712571029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.192788179342428 0.227850845501049 0.0563916397460542 0.245165923291207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.623357120070673 0.631621937440781 0.25480551401051 2.04815166143389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196439704299032 0.230394632663791 0.0573384281389748 0.252094546096488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.500970104248245 0.476390924279144 0.0932632655200117 1.06154680090271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196541069508439 0.14448901057428 0.0783487790499998 0.100701223242706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.500973628658874 0.476389074862653 0.0932582016673418 1.0615422247014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19656916576928 0.14449095939297 0.078366998829443 0.100702793703638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.500978335603974 0.476388817943007 0.0932516440424372 1.06154181081151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196544067900323 0.14449609824332 0.0783566068530177 0.10070748063103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.500991658286922 0.476393166981848 0.0932339598504933 1.06155378642309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196578724804754 0.144503267878282 0.0783807806937899 0.100722684066704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.501091198080164 0.47647553986407 0.0931022446425591 1.06176990959954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196732833808028 0.144307494093656 0.0785850426183049 0.100595887271592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.501391739337143 0.476719043789718 0.0930181007450768 1.06247213415475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.197228439066737 0.144425576145672 0.0788214295041692 0.100877941355966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.500880467256678 0.476394470533133 0.0931433612410135 1.06136595512245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196469228884355 0.144328586269634 0.078247535482955 0.100532954846351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.500878854908499 0.476430944471652 0.0931288861683568 1.06149704987293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196498042652838 0.144351284843278 0.0782932150335369 0.10057971333827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.501117353848636 0.476979631005678 0.0929571235188493 1.06342548234701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196352989682469 0.144092625254813 0.0782560904281883 0.1003654501221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.502492351212966 0.479465950108663 0.0916049342945029 1.07124909523133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19769941351349 0.145034610077188 0.0788090071032113 0.102100747939052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.503297062957727 0.481357707156844 0.0901910725924996 1.07574980655848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.199356831571811 0.148126497546996 0.0796382270421102 0.106673327609189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.428573076060717 0.449737924394198 0.137193434472936 1.03915289203514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11378468669139 0.140538945260741 0.022606561275626 0.102661286357016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.428007087572787 0.44916919699294 0.137488818356774 1.0372970167866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113840984009177 0.140538369627498 0.0226243102841215 0.102661721159418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.42800788169974 0.449168200222184 0.137480838361315 1.03728459372021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113846265135151 0.140541192051527 0.0226255034624628 0.102666275168577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.428022843103379 0.449636471300734 0.137253550868302 1.03875955082065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113807129533427 0.140828354875711 0.0225951600809493 0.102988270587497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.427459429232538 0.44895820252802 0.137091314191934 1.03612210846649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113818468860822 0.140910740991919 0.022621185971825 0.102999822200623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426998018427121 0.448261133774324 0.136598996090662 1.0333263904907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114014465998939 0.140949415426961 0.022645765196753 0.103098464291965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.427982545772259 0.449206594866331 0.137457310523335 1.03743098948451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113841254012775 0.140424972784468 0.0226241831135594 0.102561092468489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.427963054190581 0.44923903950404 0.137379147499417 1.03752497671998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113879570211454 0.140508152276123 0.0226343071906607 0.102628939904784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.427818416891398 0.449618809452448 0.137343724640598 1.03915116777954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114179473832748 0.141125367531627 0.0226439451836683 0.103338698368862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.424303841227029 0.446298770316072 0.13093774019901 1.02125469702366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114408844127491 0.141762300671702 0.0226504829006674 0.104423821298321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.422311392494908 0.443554581206696 0.125685294651487 1.0083346753512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.116633858468655 0.142802349430176 0.0229958120973692 0.107045676049712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.690619654947267 0.71462733733269 0.259388766795098 2.36624302523812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0901671828540488 0.120461177911683 0.0142662975347327 0.0718490373486699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.690619590297847 0.714634028649157 0.259382933980661 2.36626141327004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0901988327739475 0.120468406097458 0.0142595119345521 0.0718535077455336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.69061580496213 0.714636941466057 0.259372053639099 2.36625636854646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0900008324078489 0.120477043297257 0.0142157017154581 0.0718599558955899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.690597319443239 0.714631735405181 0.25933503567413 2.36617723737899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0901543616272751 0.120453182758873 0.0142622037686228 0.0718453161424709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.689000526345614 0.713088367571716 0.258655008610793 2.35726548244482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0900704342979216 0.120904369282169 0.0142690802858678 0.0722498501384652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.688549814393877 0.71268806216102 0.257982430729743 2.35456651688955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.090441952612264 0.121098335816122 0.0143644471609028 0.0725058923509045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.690616597907685 0.714607363690723 0.259340198944062 2.36611003992006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0900869010403496 0.120472844171803 0.0142456172781453 0.0718610428908505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.69057377761696 0.714548849621298 0.25923884906987 2.36573537182747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0901627151663028 0.120622073809724 0.014234168332418 0.0719924078034863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.690367803163291 0.714314900897202 0.258879850625234 2.36425802122135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0896696316914549 0.120767294326969 0.0139679119476824 0.0721592366789808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.684559382161545 0.708316554994886 0.2552955158375 2.32881382592704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.089835743930778 0.121481532024607 0.0140436928237548 0.0731454174783386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.681793394346235 0.705920182558773 0.248342621824634 2.31102084046539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0915884569777687 0.123116384466591 0.0144601043313364 0.0757256660061929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.502550594294224 0.503778316619255 0.112371584242483 1.20528973968876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131499342286836 0.120591101357845 0.0314827682994754 0.0701748567884943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.503616918967777 0.504446995254438 0.112198069235067 1.20834274895893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131820924171711 0.120687848001879 0.0315368860015282 0.070252737482277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.503625261932665 0.504452365354099 0.112189292273915 1.20835717041461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131783227683429 0.120696355872602 0.0315491315699696 0.0702582476319398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.503643117509491 0.504465970642939 0.112161645811783 1.20838838758342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131661617017778 0.120645875866207 0.0315686178133409 0.0702571254207666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.502242918382295 0.503063410834907 0.110778861908869 1.2011346956406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13178915157421 0.120821444287821 0.0315821291253849 0.0704216027505599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.502362161702506 0.503202442306366 0.110325726726491 1.20131103570475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132005178859495 0.121117281751641 0.0316263714145744 0.0707325510736638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.502544901869138 0.503793598925323 0.112363491652648 1.20533621171764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131465843077923 0.120638971687833 0.0314927119118467 0.0702136792279713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.502410446219386 0.503695458199859 0.112182617560245 1.20465055044432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131347934346015 0.121179485043866 0.0314724005945279 0.0707746111436501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.502452876120206 0.503779205358793 0.111978777457938 1.20477688059143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131300025026134 0.120829914010257 0.0314923173696559 0.0704701244037539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.50306080476366 0.504522348222004 0.109699192966765 1.20555290414864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13289746947573 0.122361656040249 0.0317249927665017 0.0722361601301596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.507797208178632 0.509596197617126 0.105629753180795 1.22294481672997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13507688766551 0.125801920094582 0.0324820602200213 0.0763649285629192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661543437264181 0.724783801040893 0.264793508755229 2.55399689422063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174645540027558 0.260033680520896 0.0584970574247564 0.30890449123484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661535405532283 0.724787741321891 0.264791742852902 2.55401456678538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174643376746927 0.26003204091924 0.0584948555099551 0.30890247836615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661528854831691 0.724830234271612 0.264407796187194 2.55361008535782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174494452377194 0.259748063473849 0.0583959295153443 0.308358316619365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661500083890404 0.724824102090406 0.26437302843154 2.55354686352644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17449079475145 0.259698689904517 0.0583930745159762 0.308361283398871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661967526523406 0.724930636849928 0.263739410626785 2.55413279901761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174730563214202 0.25966485192828 0.0584111996629888 0.308471451038214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.662222531091098 0.725428823840916 0.262034216381685 2.55520205313866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174524031668273 0.259983287801917 0.0584084218927408 0.309351430885935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661821241177975 0.724813373858341 0.265104874163935 2.55483185307621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174864294231635 0.260016309365136 0.0585472823249716 0.30894595401978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661786155155244 0.724801566315227 0.264661828711772 2.55410496066423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174730405629407 0.259758556594616 0.0584493651294726 0.308493871897541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661634168908847 0.724613595499257 0.264351010227572 2.55287189685038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174763293853889 0.259819158140125 0.0585489486601275 0.308834229237103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.662410040367507 0.725001458228638 0.261854120652605 2.55427455340481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176166998424541 0.261661141121837 0.0590636326918004 0.313954381868661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.662734537450541 0.724984098235552 0.255130048518444 2.54905829048026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.177990812130221 0.264100648122305 0.0595259807345648 0.321550752236271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165376424948768 0.00868293053147761 0.0447894816596472 0.000351031478707254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17967656869596 0.0218778559657139 0.0580598650757701 0.00224025103140787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165374929117716 0.00868439424110671 0.0447896130520597 0.000351254245133287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179677570094563 0.0217290719541564 0.0580593646511523 0.00223179305077405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.16537625119314 0.00868760441838447 0.0447905388196717 0.000351605557259701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1796799438238 0.0217652616869108 0.0580593705006991 0.00223881401811009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165387540456179 0.0086986673275556 0.0447947554325061 0.000352674326023412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17968843249745 0.0218873273513699 0.0580607094367658 0.00224132455457239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165710734176129 0.0088141501007391 0.0448542699694331 0.000362591670656753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179998288847631 0.0215213251575726 0.0581381048752767 0.00220082761817878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166082112640081 0.0090370822714867 0.0449549315200894 0.000380606996528467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180160737285584 0.0214700867789382 0.0581885601426558 0.00219555049475637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165372601667071 0.00869444340686767 0.0447810755901588 0.000351681037582311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179663187266892 0.0213945702204604 0.0580507540080581 0.0021564206754277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165397982968885 0.00872506316699165 0.0447804751481855 0.000353755216816847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179662503812492 0.0212680528254006 0.0580459000644919 0.0021556835601871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165541425657765 0.00883516327923894 0.0448041362502618 0.00036194045457022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179700598559402 0.021004475908821 0.05804998003738 0.00208559806472051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167255057199697 0.0100172467007758 0.04523793908069 0.000456919004489069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180153053790381 0.0212682109051975 0.0581923298152684 0.00211562678303696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.171466820419259 0.0123510224385128 0.0463251453094974 0.000679781442358192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.181880511901899 0.0207786704955239 0.0587178827464698 0.00202050832004011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0967797713757095 0.03415747747246 0.0129853982050923 0.00360227950199981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103508712454138 0.0369899455815685 0.0153485504363917 0.00433930935458682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0967847690731068 0.0341564313825125 0.0129826488414552 0.0036026923686804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103510691820548 0.0371455920211585 0.0153478293067744 0.00435648282309699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0967946897027461 0.0341559324919539 0.0129804132577292 0.0036031844566682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103514592737079 0.0371495811263545 0.0153473850140516 0.00435685350758022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0968290664217365 0.0341565041347005 0.0129774005492406 0.003604394887395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103528003876508 0.0371579939858921 0.0153472309853207 0.00435769132022881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.097170244474835 0.0341824358380744 0.0129855146793478 0.00361240359248001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10365725528647 0.037199221624611 0.015357033395456 0.00436249217308516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0978361968260803 0.0342506779104318 0.0130266791601862 0.0036256990677792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103912022554266 0.0375587448048247 0.0153836134973441 0.00444682102935822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0968513302787598 0.0341851521753791 0.012992665039037 0.00360457108597148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103527061173005 0.0369941044459986 0.0153532637864181 0.00433939957846703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0969748542785613 0.0342199517656303 0.0130050523063474 0.00360774837949187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103565189965419 0.0370017295904518 0.0153608763255809 0.00434010333944161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0973765642919198 0.0343043807890668 0.013045282259632 0.00361609078364275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103703037914877 0.0370216067312411 0.015384820884999 0.00434218506727747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.101102398467007 0.0349239211097746 0.013420131454011 0.00369033182972945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105099929095326 0.0366926479371762 0.0156006967372648 0.00411362308481918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.108730928789015 0.0359666315530237 0.0141858462661716 0.00385670420514062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107880178981983 0.0376481080830472 0.0160249120534962 0.00464610703349001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.605215365552612 0.666488993544846 0.249628881119701 2.16193851288701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143909855047522 0.228212534964376 0.0337201482671002 0.246322059740107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.605219938887208 0.666489844228859 0.249626195089475 2.16194162147792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143855262345727 0.228109218757081 0.0336964744636431 0.246165418115127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.605221253488176 0.6664866520993 0.249615963680572 2.16191940362071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143848439621064 0.228075592537045 0.0336937756200653 0.246149084936001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.60586966848282 0.667049459994366 0.249123044250439 2.16459526466371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143785808055018 0.228128016733362 0.0336714602170312 0.246178108119609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.60547828156628 0.666619025705863 0.248917119644945 2.1622564135945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143895004565611 0.228184957787137 0.0337181716383178 0.2464270071775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.605009328813442 0.666123029639421 0.24803117460182 2.15916295244253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144100796010274 0.228617828624842 0.0337854979843132 0.247317147913884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.605193092457754 0.666464698556067 0.249630885699663 2.16184807062054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143935245394783 0.228107153143653 0.0337357117261246 0.24617879952075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.606032564818885 0.66730251104101 0.24985182888812 2.16635020494079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14395984605835 0.228106904292247 0.033744053089701 0.246245106692104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.605529762122787 0.667024731420006 0.24973072201274 2.16519903596441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144222560207941 0.228546549393419 0.0339225537896542 0.24739161266918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.60601005073415 0.667171059527983 0.245742902039788 2.16362332395461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145783734691174 0.229407713630886 0.0343307078875839 0.250113037397321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.602815026206355 0.663952637012108 0.236910999951761 2.14094751291109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.148849172851109 0.233152993089423 0.0352330271230331 0.258804766698494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310333220717733 0.00918646741212615 0.191275343178602 0.000134447383397521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364680229305907 0.0194474581305473 0.27933909161142 0.00138827549891472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310329059358634 0.00918866832782214 0.191272132845384 0.000134440043317553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364684072025386 0.0194375792101462 0.279341573583634 0.0013865707144979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310329588916861 0.009192515425353 0.191273416584481 0.000134493986457078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364690205188753 0.0194289673745836 0.279347175277494 0.001384876201754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310521037278005 0.00920490393111924 0.191265160677376 0.000134737224625075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.36488574471159 0.0193669092848575 0.279334461795061 0.0013810962914234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311107110176541 0.00921165866417434 0.191597232443165 0.000135922264288338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.365446667723878 0.0193436567947964 0.27973408478485 0.00136946164015141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311283639063143 0.00920966914001 0.191883247965257 0.000138286384330367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.365475264791892 0.0192460981114938 0.279907306663104 0.00135595018901844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310351821607226 0.00917900375340747 0.191261929995994 0.000133470801773931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364661193886135 0.0194231738216662 0.279310161366095 0.00138384273013389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31060147443156 0.0091651066275167 0.191272538017565 0.000132591015430699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364839960635777 0.0193964917015042 0.279271361398876 0.00137911165265356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310501903581917 0.00911122251163136 0.191291262330924 0.000131808038263345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364375014511512 0.0194417440279071 0.279000508780625 0.00137290951554362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.313036226982795 0.00897734309775683 0.1936786067407 0.000150984337603471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364792034437138 0.0194213601602632 0.279844561290707 0.00136194378751815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.320041354463085 0.00912830337805892 0.198803423909687 0.0002304718954996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.367218259856705 0.0194555468719881 0.281344215472437 0.00140929465665299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583646704332818 0.588302852369072 0.240473557933462 1.80660884442682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.195695387042337 0.223589806185953 0.0550715451171694 0.239668480197378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.58365663241934 0.588299231100866 0.240452499660808 1.80656486587871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.195488694554787 0.223599889659344 0.0550988265149376 0.239685030249075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583665162729565 0.588292471305563 0.240423456397221 1.80650111663512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.195860435079807 0.223611614810513 0.0550244382762476 0.239706929302547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583680662539259 0.588270018932819 0.240341895527266 1.80631655354672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196153308697609 0.223589663773932 0.0550902030441771 0.239641711609647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.584331516189836 0.588747767883425 0.239814841258461 1.80876434337498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196902718903623 0.224247935419803 0.0551646489726507 0.240889127506946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583467810182821 0.587408898509228 0.238893455202459 1.8019578715903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.197815093395515 0.224415284124364 0.0551948411434511 0.241421007297483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583655897844167 0.588296137408746 0.240507306875387 1.80657043495795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.195725167733742 0.223619825492153 0.0550990217241744 0.239717690598274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.584355352892218 0.588959068837855 0.240376688546099 1.80986556497369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196010590227791 0.223888150597675 0.0551178876398008 0.240260246737764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.585291807376681 0.589768107525514 0.240623731612474 1.8137611496543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.195992435774633 0.223876314530462 0.0551112588985201 0.240440005228405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.585891598570015 0.588925701712284 0.236299937494918 1.80690382330107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19848272678259 0.2255491418917 0.0555614573818077 0.244618252387963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.587878025447503 0.589079350088464 0.228573983259632 1.80156423509293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.202461914902377 0.23016367195558 0.0564205504050596 0.255832427192583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480698293778394 0.462342409713594 0.0877473199788023 0.994960628416366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.197899889581602 0.156045457406682 0.0813193134725362 0.117049362253226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480696629081198 0.462342774991369 0.0877470231033317 0.994970088813204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198039857972328 0.155681414099431 0.0813460647425341 0.116516732276361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480695864526676 0.462345102201335 0.0877450058747841 0.994984591178176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198048450681917 0.155687107429504 0.0813518330219663 0.116524641102147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480698356828166 0.462354836750572 0.0877366884300551 0.995025656323776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198066804085352 0.155624512778693 0.0813653006278914 0.116465251096057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.47970223341165 0.461341213621987 0.087046584731864 0.990233199097752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198477700721034 0.155636073930764 0.0814790724953105 0.116552559829428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480111285807828 0.461672213409308 0.0869091365356205 0.991370671476588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198822366896923 0.156305545146211 0.0816061198753161 0.117472146196942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.481089566585169 0.46282648777117 0.0876930787778499 0.9967064103158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1981825320487 0.156219620686005 0.0814779238973476 0.117263247564275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.479705541176819 0.461366844877325 0.0882483193826276 0.991648373935845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198173524863002 0.156221939824795 0.0814730425776637 0.11732272929993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.479856988656731 0.461579157521595 0.0882945834797207 0.992327312108691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19839081845933 0.156387313363407 0.0815010061955328 0.117642417300579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.478656358482604 0.461841326819367 0.088136723965731 0.99098462293403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.199105049835389 0.158303509124114 0.0817311586519471 0.120809224660612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477787165018317 0.462455283879048 0.0857009979598819 0.987341000108983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.200808064861556 0.162164954331726 0.0825873326706093 0.127223751789702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.383445384711629 0.410012237690706 0.112084934610381 0.871502901630659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120771133483896 0.150394012357946 0.0228823589700609 0.116972381858393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.383470344842943 0.410001980284699 0.112085378361604 0.871469171687751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120757836569468 0.150373172974153 0.0228794414971129 0.116966489582447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.383497071888282 0.409991503479847 0.112082072778542 0.87143378815606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120742489859471 0.150291789870757 0.0228758583529663 0.116943236610363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.382379657416698 0.408793711996963 0.110589265411726 0.865666362125886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.12073158815684 0.150334418949313 0.0228748721858199 0.11695620821908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386428687983117 0.412644484053449 0.112842286481933 0.881451768729753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.121016879394203 0.150988194029472 0.0232160453324212 0.118353097522666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386600517915147 0.412152329830014 0.112257032445062 0.878663364608713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.12191980320993 0.151488001971329 0.0234624890685583 0.119337369003096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.383923468853104 0.410425500564105 0.113215197044059 0.872805831402504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120681130540286 0.150452500651367 0.0229082187054302 0.117030988258274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.384862855035858 0.411285333004326 0.112705966351819 0.875328027456344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120757598294254 0.150194178179835 0.0229225287066486 0.11684604691563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.385242661487992 0.411390735002155 0.112868565656831 0.876658505248335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120784516380662 0.150433501280108 0.0229491691870387 0.117259309568926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387101183687721 0.410856923221012 0.112990848616191 0.876249718734352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122247449746964 0.150216819691248 0.0232420312316518 0.117484863441226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387043510370001 0.406913265848097 0.109470850097437 0.860609852032842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123887878344751 0.149432190269913 0.0232704132626925 0.11654503415077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.649694629311491 0.662353212850803 0.238790389320576 2.05631187747843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109470058456625 0.124929167923918 0.0206987111031852 0.0780732093680029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.649708641476395 0.662357697632018 0.23878587789776 2.05633316722536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109534989870298 0.124924586091917 0.0206910692407675 0.0780663413868866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.649718300175403 0.66235831372136 0.238775365092135 2.05633022285506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10952751864103 0.124927510172871 0.020701887555283 0.0780671258547256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.649723377690203 0.662346803712579 0.238737175347753 2.05624878785335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109496506014628 0.124939185523048 0.0207045425212649 0.0780753579115848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.651514739130902 0.663755240079694 0.238442434848564 2.06283677673628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11014813825765 0.125143056202374 0.0210079004040113 0.0782281372985289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.651843777149921 0.664094738606091 0.23790926915689 2.06469718954268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.110515263626375 0.125641926846382 0.0211177650915705 0.0787802554009272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.649100165884182 0.661522217689678 0.23869080408516 2.05205933974716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109674545108675 0.124556404713892 0.0207113308123721 0.0777373123573233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.647988518709303 0.660395316989521 0.238626305057797 2.04641823578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10962459908645 0.124548889875832 0.0206844949467085 0.0777373555670502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.649295265826012 0.661657840281082 0.238046569472553 2.05247785583157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109777562250526 0.124645054000389 0.0207075559097605 0.0778739967572326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.646721963706937 0.659615169752727 0.231974878246766 2.03998165118009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.110953195566948 0.126738122026779 0.0205838884837496 0.0807443209973217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.641987761305966 0.654916806358391 0.223698449296885 2.00900690568362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11249421488808 0.12853869932741 0.0209357667931498 0.0836385446837018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476810355315703 0.482296100411151 0.0878313331729172 1.0909293940946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139700097918518 0.138263265884643 0.0346928377344081 0.0915105663230921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476691826715795 0.482501131435797 0.0877368225885666 1.09156859860418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139703967452045 0.138583995841286 0.03463694412374 0.0918923370360056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476684191672115 0.482500924710294 0.0877333796331035 1.09156724573938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139623903600992 0.138837252676648 0.0346444354673498 0.0921431792068429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476764601823477 0.482552937014531 0.0878417174786782 1.09175780468393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139708321847134 0.138867745429719 0.0346737154294436 0.0921814247958272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.475382482505631 0.481144848038336 0.0882014164359449 1.08656587882067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140038593930873 0.13935830055305 0.0347013900084067 0.0927521489734093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.475798160664125 0.481732830001757 0.0875366403549422 1.08830378736762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140069760670785 0.140007105290904 0.0347238264400406 0.0935123855213524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476759327808265 0.482296952986246 0.0878436067067717 1.09096100504248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139786241654328 0.138240199933891 0.034635102402354 0.0915071040860442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477234005353796 0.482865353286894 0.0876153924640413 1.09310657655314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139999807922085 0.138677912339331 0.0346975739478415 0.0920129499730769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.47707037575549 0.482832509497008 0.0872748502249906 1.09275250909609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140124379947553 0.138868930753698 0.0347233631321829 0.0922125893244651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.475663969623252 0.48200887016947 0.0864951500657905 1.08832151476528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.141387973010098 0.140602844523294 0.035052315901828 0.0942158893446737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477586341584805 0.484939394634049 0.0828858604313704 1.09560942899167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143285610520482 0.144528768171544 0.0357223645107649 0.0993633632558731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.61303796283665 0.67957914704542 0.239638039355419 2.25634436822893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172598019137716 0.262730219837859 0.0589585517534654 0.318861560398243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.613022226232237 0.67957313139921 0.239650286542049 2.25632290264297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172587886442464 0.262727642100739 0.0589573020069595 0.3188718510893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.613003291929328 0.679563591109422 0.239655855955701 2.25627826092797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172579754134632 0.262825336092173 0.0589568582675184 0.319085619051486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.612240824344171 0.678820907433592 0.240001525124154 2.25280683784591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172572571153799 0.262753561841605 0.0589565511827119 0.319003275141466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.611903757781114 0.678572421875872 0.239696186633612 2.25127261589064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172533377372625 0.263236503992072 0.0590032919784907 0.320208253681143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.611337480895425 0.678118146607453 0.238962049043284 2.24832190246661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172682546137905 0.263595414670179 0.0591478898438856 0.321298293430297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.613022605488967 0.679557310237243 0.23962825287244 2.25626303203531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172594679023675 0.262683157142364 0.0589363807356166 0.31893579200714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.612970524115584 0.679491567097833 0.239545629890584 2.25589836949091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172640854486392 0.262966682769245 0.058924960165629 0.319735341393077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.614680961944563 0.681165199351615 0.240663728270501 2.26523545211173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172745379880486 0.263190306966993 0.0589125093259262 0.320226123552503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.611383744109418 0.677681081509188 0.23614070286378 2.24315113833045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.173562402025909 0.263724363587534 0.0589843271259324 0.323486345737013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.605611381259111 0.672526107074231 0.230761314430349 2.21006622947426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176487982975743 0.266699288409044 0.0596134838232934 0.33344299514297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.16211466189922 0.0119907808748226 0.0473411095374068 0.000672457876332985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176777705052535 0.0237905008163806 0.0611846945187814 0.00222315928284504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.162111300387249 0.0120075862998294 0.0473389496883187 0.00067419539742857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176776489917794 0.0239717253327682 0.0611831903371577 0.00224851577086364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.162111648859159 0.0120258116521709 0.0473378062220582 0.000676109586151943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176776620013167 0.0237173842686969 0.0611821794392172 0.00219690254732283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.162122852471281 0.0120680971428648 0.0473384778870965 0.000680550698062368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176779924787423 0.0233895838443455 0.0611811742830677 0.00214714718210434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.162407477213217 0.0122664154296859 0.0474416746924912 0.000702527156377943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176801318039791 0.0235253020469669 0.0611689487249412 0.00215603330783046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.162898488129714 0.0127184720403137 0.0475401941382198 0.000755396625633879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176935976528943 0.023399661438478 0.0612094261074481 0.00215026713350772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.161916764509302 0.0120305778861012 0.0473131060684229 0.000676393636967654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176577084490425 0.0239212947077973 0.0611299626892756 0.00224604948814021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.162084934002392 0.0120978274282968 0.047345692103964 0.000683776441628578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17676908194026 0.0239453952926299 0.0611777177197963 0.00224870390375119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.16217010971207 0.0122980358544846 0.0474379876927285 0.000705086818445029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176725774322667 0.0236111688193835 0.0611963733476021 0.00217004287865678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165449549704487 0.0143777450678757 0.0483970225132521 0.00094498556948388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.178247216446351 0.0242319983751509 0.0616340303642933 0.00222798959555158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.172432766279635 0.0179859732635626 0.050456907068956 0.00147596007669179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180640733867533 0.0244333324494954 0.0624304170139254 0.00223451061232143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.105361872465006 0.04074374802022 0.015833179361703 0.00441126792820935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114025819889627 0.0423614818517735 0.0197036464887222 0.00488583499563702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.105366961893601 0.040756286485553 0.0158313709380731 0.00441450088166867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11403551766067 0.0423686263018116 0.0197056228765074 0.00488693136909731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.10538356874038 0.0407691635087647 0.0158305906968366 0.00441804473753153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11404794684199 0.0423764561815414 0.0197080670236001 0.00488816349105246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.105460694596727 0.0407936236318216 0.0158312741136014 0.00442546079685457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114078399473809 0.0423914797712895 0.019712749474987 0.00489055490480939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.106517627610572 0.0409656373394927 0.0158986548496094 0.00447137849434526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114328631574191 0.0424699287608083 0.0197531365923571 0.00490333826457007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.108993751536709 0.0415912385255569 0.0161132457353908 0.00455514190423585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114907891142302 0.0427135019926417 0.0198156533627982 0.00493253120645955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.105546342972131 0.0407858269916952 0.015839377968783 0.00442588849818703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114044227623223 0.0423886336780689 0.0196980714472212 0.00488831416053965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.106038166762881 0.040865556898309 0.0158679798971652 0.00443905630079235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114096863324244 0.0424197627890506 0.0196968193838408 0.00489129001974379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.10795187869324 0.0410266666052227 0.0160481381563259 0.00446183101631864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114297180131729 0.0424889268455887 0.0197042213501274 0.00489813149923204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125916627392603 0.0462215283785399 0.0220790075725157 0.00550134254550238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.121842665294814 0.0585637961698223 0.0217600187392667 0.0157054376205202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.150365909159602 0.0550790470919521 0.0291379823404835 0.00766140089119111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.129736543082463 0.0714931841945168 0.0226922717587404 0.0229493441477209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558112875118493 0.593778547490883 0.223766721420946 1.76421779187774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.170667668399129 0.223758952670269 0.0431992401133639 0.243186602827515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558100917485019 0.593783999917021 0.223761027716872 1.76426017998721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.170676140753803 0.223757650241689 0.0432046238025169 0.243195760286836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558082894020554 0.593775691271251 0.223733567915518 1.76422230449177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.170553368060143 0.223774842159812 0.0432454287310256 0.243232720006151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558049992995125 0.593720094491132 0.223610282488569 1.76390180354215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.170588092873602 0.223810902110466 0.0432596443656632 0.243311157289973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.55771307483665 0.59350209342071 0.22169183427127 1.76137596985843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17130588012329 0.225471836330649 0.0434112883562678 0.247891287535474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.55513691619747 0.591112196543047 0.219661816876922 1.74833310915121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172019825474707 0.227441730376865 0.043532791172446 0.252644350701963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558835001061856 0.594605046022229 0.223770133834423 1.7679735284075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.170939199618906 0.223764234925331 0.0432866878500021 0.243248539833466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557339764527725 0.593219678479978 0.223232898857293 1.76230903460776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.171017952021311 0.223820621845996 0.0432260112128726 0.243467439912589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557726878765228 0.593800621803388 0.222536932812735 1.76448170492407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.171276484355382 0.223982104817613 0.0432977990250664 0.243981633509211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.552951403912746 0.589494168266382 0.215824531719078 1.73408351556385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.184187512374095 0.231065487491742 0.0515175821986711 0.262249990629414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544912061349558 0.581391980346442 0.203336162864565 1.68051607760933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.194825316805459 0.247180443268745 0.0552569631774629 0.308772208969123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.287411668302827 0.0110067615929451 0.194205880618489 0.000258127969054902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.35323758621769 0.0212936878324801 0.29948966146276 0.00151514072282177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.287466546319592 0.0110097912734246 0.194260626765205 0.000258707997508929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.353236715906093 0.021454752001727 0.299486721214037 0.0015400621298941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.288269139722177 0.0110552369243809 0.194559540757901 0.000260398947997526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.35395458220646 0.0214329106451494 0.299710367383988 0.00153796377736787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.288487751531466 0.0111909146633972 0.194788620230473 0.000266577331846417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.353955715201349 0.0214295045739038 0.299704596153032 0.00153828589118324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.293690603912592 0.0124815470009847 0.202376669594513 0.000411506383537442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.354042809782251 0.0227517545729241 0.299701572936975 0.0020426169976929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.299232422549077 0.0133824994969176 0.215547352682571 0.000462880468367841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.354640425991763 0.0231189547267753 0.299986334250318 0.0021083625393811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.288300819162109 0.0112168437808502 0.194745544262137 0.000263055918012321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.353613394699532 0.0213463928500753 0.299521689732589 0.0015144152390652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.289061336955052 0.0114993968574624 0.195470914592727 0.000283271256153287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.353644557798399 0.0215048160985672 0.299543082127758 0.00151820050683669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291612441099472 0.0120561560550459 0.197533792921953 0.000336771674126816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.35418136622713 0.0225591631133573 0.299514456043845 0.00184943040537869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.3079981828526 0.01321728722074 0.216127068320498 0.000505738989302554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.362711621498234 0.0300843512438894 0.30801906747333 0.00451870615499779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.328009893750721 0.0155729432288067 0.24664939173267 0.000974303216715339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.366208966022878 0.0306110852575722 0.308226378344535 0.004567027310099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.582499376093988 0.606158201836347 0.206691092509806 1.83651683555914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.210593822833783 0.251981187832469 0.0770090312560134 0.30260359356982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583432773727522 0.607104950377634 0.207730605604203 1.84174627093917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.210594255797016 0.25197649506702 0.0770095430457997 0.302604613785496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.58436242430105 0.608054078499373 0.208697397296071 1.84691206057133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.210598020688621 0.251974904930766 0.077010820057428 0.3026139520568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.582911148154268 0.606617723058062 0.209190113836775 1.84017244335286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.210370687394774 0.251678809394174 0.0769390340400019 0.302166123194262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.578939080777736 0.60328857430396 0.207310752558689 1.82059413302763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.213648098153769 0.25112735405715 0.0833911205537716 0.302262714881626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.578081698832762 0.602480931385949 0.203207023944219 1.81149183288984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.213815695653777 0.254480805619644 0.0817490320125148 0.311245864728399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583559979775815 0.60697100664024 0.208410870810646 1.84108403043798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.211574083548304 0.251466681398834 0.0771624309352949 0.301754534109828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.582959277061606 0.606302821554457 0.207026467574714 1.83631921419526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.21319597299993 0.251440897966762 0.0810722070444469 0.301774189674926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.58223445484049 0.605353980129497 0.204758319871788 1.82933528226376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.2134221189646 0.251586047465851 0.0811239453270071 0.30228168081628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.580054375626901 0.604043922355024 0.204675921257733 1.81881198033758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.221221908826125 0.262916160646033 0.0868747107551995 0.330918784651527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.583741812264802 0.604449224537388 0.197365841219416 1.80786275101228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.237105108132075 0.269299350118753 0.0999289273898917 0.353056437530693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.485061466017468 0.438970501655371 0.0860834409511612 0.910681947103101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.227972867478914 0.154577791928249 0.0914206539478524 0.117270390578529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.485109934912514 0.439014257863455 0.0861294979867635 0.910884717845136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.22796889116558 0.154591165988623 0.0914175499293721 0.117293628054447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.485165567846091 0.439064134399655 0.0861753181642631 0.911103200722327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.227967612833723 0.15460260068213 0.0914157456066222 0.11730868608738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.485294079588707 0.439180289990241 0.0862616738732603 0.911576226955099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.227973831142108 0.154608062402011 0.0914157643044766 0.117332405877438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.484851918576005 0.438446317875319 0.0864236366225978 0.907532400146062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.228378827604888 0.156429134300504 0.0913210137406271 0.119838785473315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.483255126998668 0.435997795133074 0.0860278001643605 0.89481678755282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.228929889735335 0.157562164719626 0.0912676699226047 0.121665982610032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482009795793723 0.435777458043225 0.0839790585079937 0.895391467102501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.228065988141203 0.154413027174704 0.0915079751084863 0.117170392145389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48116969390823 0.434788198400917 0.0835625977365251 0.890590690210703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.228080879238815 0.154268076675347 0.0913243149578335 0.117038376873089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480516929130927 0.43381317040318 0.0847419690422304 0.886931519199961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.228238951032914 0.155806187042046 0.0912637858353825 0.120743189495772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.484099094673577 0.435510038367652 0.0955487810605153 0.890093152699852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.235588475643787 0.16585290609115 0.0985812731448031 0.139375534892454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.49373111133469 0.442085600012315 0.0976218268113822 0.909848911483622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.244000448936561 0.174695298615831 0.103419829693719 0.15621449122082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.424559627229189 0.444895363296519 0.111342063816107 0.990721981178392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145349756395148 0.166168027076964 0.0340407312458596 0.140218881581297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.424623324415229 0.444973319134734 0.111427569304309 0.991007828834369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14535865970558 0.166211330879737 0.0340432012420891 0.1402363154295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.42593405761603 0.44628977722167 0.112610732137461 0.995785670928383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145378724778296 0.166291953459652 0.0340496667579199 0.14033616189929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.428395761322334 0.448776053707298 0.114603603433081 1.00582547459746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.146972598556336 0.166390409707624 0.0361558130311469 0.140589064823643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.43465664929092 0.454469428807055 0.12257689040279 1.03309889865683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.148624789645341 0.166637257240487 0.0375204070958583 0.140964389233504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.434716431060444 0.454117543298953 0.123524500587005 1.03242213027345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14870944438979 0.166784376144786 0.037559095789496 0.141423432682196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.428324908316935 0.448450062371977 0.113173477436743 1.00426474302515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145304130964138 0.16616126945575 0.0340351353946916 0.140225295393614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.432543412355 0.452305265727589 0.116854171093816 1.02101244663892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.146958097472305 0.166165876901072 0.0361154568885363 0.140113863640509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.434583920584253 0.453621621784438 0.117620724342492 1.02567714047598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145429529144017 0.168586960976148 0.0340448357323183 0.145566120198185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.434760796699908 0.451776099051394 0.112870770060742 1.01076727172784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.150139283181442 0.176380770157435 0.0358046985652298 0.163247318381052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.436905627455835 0.451356502887435 0.112825537988077 1.00688521847095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156693367418481 0.181072219342957 0.0400591511477917 0.17205107194883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.625970434916459 0.657140572446125 0.202844575067801 2.00717833094438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106723953375526 0.147032574671024 0.017484113151979 0.106787991745358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.625967541365553 0.657089737599693 0.202858725641397 2.00688290977296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106825267552809 0.146964142460206 0.0174698314490448 0.106719318427171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.625941380628516 0.657021525832804 0.2028343733779 2.00646184899481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106710231297135 0.147170694403934 0.0174819399826375 0.106926613021681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.626419435434166 0.657454194695532 0.203280497269717 2.00849813321796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106976943835851 0.146987239198819 0.0174810565399273 0.106734550390057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.62329140899434 0.654090513230287 0.202473266836164 1.99020067004342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106794201905855 0.146894232134243 0.0174815083332437 0.106699976286312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.624592707559821 0.655099823817951 0.200482672694165 1.99282775840638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106826376742072 0.147612469551462 0.0174706938817037 0.107606094134653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.62487973181475 0.6558511538932 0.202493263400507 2.00058060737473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106562653946871 0.147136826633247 0.0174403288654909 0.106904802296485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.622736679510385 0.653534084198038 0.202063050213701 1.98924826759956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106707411340669 0.147206838472349 0.0174461027528511 0.106994639375631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.621595575014927 0.652124841161366 0.201705536618379 1.9814846684897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106716930194851 0.147266358937073 0.0174733547230978 0.107188968858946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.606772483462256 0.637965846615886 0.192981120600868 1.90315682505921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113014754707008 0.151692945975805 0.021602913089257 0.115239033188461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.594725360176253 0.628413131981855 0.179817608937307 1.8410857645342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118132473843098 0.159950841917084 0.0232499102153594 0.130960314718355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465450086270669 0.452250712273235 0.0946671380948784 0.985595301754448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156758743200212 0.129768050546065 0.0404830574999656 0.0822148482210313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465501320418914 0.452234783172883 0.0946429561175382 0.985538431306441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156822611300707 0.129781332591312 0.0405044858722575 0.0822247176421805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465586580620163 0.452236068738729 0.0945904679567549 0.985513818728082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156831350805898 0.12975193131325 0.0404986305033658 0.0822213929559675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465377942534925 0.451632708864145 0.0947031581221581 0.983436820906322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.15687831082515 0.129783204481412 0.0405059988112502 0.0822564487148785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.4635935884026 0.44854054271896 0.0925810027713691 0.968362332208792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.157211955416402 0.129963034481388 0.0405866634496566 0.082442951133748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.46327943757148 0.447911483272911 0.090450400481293 0.963096156402009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.158558646915941 0.131056269082972 0.0409119267494988 0.083771201507324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.46531663512787 0.451756085248053 0.0947230548215549 0.983921486341929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156765191522894 0.129914226272223 0.0404958328577295 0.0823485999242361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465905651610724 0.451939783602947 0.0943710793192599 0.984256083185901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156868531226596 0.129909159152537 0.0405428996042459 0.0823774455147439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.46765250698537 0.452592000100849 0.0936561310260061 0.985676803539961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.158803305555803 0.130176328999815 0.0419830355621569 0.0826783529098511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.473357908856809 0.45619658379532 0.091880970194103 0.991611941249688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.166516865886083 0.136466260404624 0.0494445760001566 0.0920677026298131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477673923765053 0.459568746879241 0.0899647115645752 0.997581127550255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176029910915109 0.146336136617527 0.0572199593759888 0.109032221783346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.580614210105199 0.628033469025831 0.19917660143517 1.94796741480127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.194679674118096 0.269180501133429 0.0622124902650728 0.334035172217316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.58058077352761 0.628038812042314 0.199205154744439 1.94800412423942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.194675283065301 0.269162000946585 0.0622142184792617 0.334004471417062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.581357074836709 0.6288503735324 0.199982279224351 1.95242224665039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.194673795791774 0.269144303399531 0.0622169324067848 0.333978195686039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.581272560875581 0.628829656605351 0.199975576931029 1.95229648784698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.194680137468174 0.269028470176632 0.0622238803083343 0.333936230864137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.57996737210194 0.627466465726601 0.199878584832904 1.94513521703916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.194920203916296 0.268928098504884 0.0618617653302111 0.333640519669851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.57943270519711 0.6269721036604 0.199394745607003 1.94203164553964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19640748428851 0.26884685416046 0.0623194410987183 0.335010519250328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.580535112848881 0.627888150275432 0.198913673624148 1.94695347697084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.194709739816862 0.269153099322911 0.0622242971326685 0.3341148153663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.580240538653362 0.627555570207978 0.198469968541624 1.94471254269614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19581220363166 0.269247405300351 0.0623341747103734 0.334309314833795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.580382499134249 0.627962455578108 0.197104161357695 1.94474773473831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.195309641790486 0.272553121684602 0.0621313065489689 0.343793296650816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.584913163728805 0.631081528478811 0.193329458051735 1.94952054876517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.205598720994182 0.281241445518081 0.0720748515257936 0.371105171061645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.577742163175832 0.623926407718803 0.180132311423373 1.89723506724133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.211369250225561 0.293975349465644 0.071749941399933 0.412286700283312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186206458574784 0.0160001348970924 0.0573630047576387 0.00126432416686016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.202938598975457 0.0279962022661711 0.0737663438361057 0.00260779645781113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.18605288104295 0.0159969104606863 0.0573384457583923 0.00126488244672817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.20275945510429 0.0280515745321338 0.0737283514938295 0.00260897410979594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186363586186936 0.0160106984285675 0.057380893608753 0.00126863015273468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.202984363452955 0.0279248043400377 0.0737924571283629 0.00258386031870068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186844593497456 0.0161992383956043 0.0574590907313547 0.00129600607389505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.203034364517765 0.0281149773125658 0.0738188171214459 0.00260643510000573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.190300821929899 0.0172909656893444 0.0589835893319148 0.00149014776415479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.204303662080897 0.0283496161674367 0.07418923390526 0.00264034361681654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.193097903278038 0.0184526587074873 0.0603709323790279 0.00168926635252837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.205365197864291 0.0285850581721625 0.0770430517148169 0.00272678222212846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186950355049791 0.016160725394102 0.057398672812835 0.00128802405624204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.203959757854521 0.0283185189223928 0.0739440877494674 0.00264288873943066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.188833031691835 0.0165379105907172 0.0588521164311368 0.00135276309659976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.202856367101577 0.0284665501518493 0.0737873938492263 0.00270022807682699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.190105738645643 0.0173553403898289 0.0597854370504578 0.00150116966810702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.203070266658849 0.0284087442348941 0.0738881417496614 0.00269046505192724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.200647975339971 0.0219609260352834 0.0633508672992461 0.00234116836076753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.209312851670297 0.030107954249829 0.0781833722526418 0.00297504059911277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.221630309473583 0.0275183648164074 0.0728980082520707 0.00356100858306918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.218370307602908 0.0335508190154216 0.0857125429793992 0.00367566318104715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0155262102608856 0.0063592472547789 0.00119075870217962 0.000291587291688907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0201012666718859 0.0414205471664801 0.00258039852612951 0.0274953268889661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0155326599828873 0.00636545422518912 0.0011914809611123 0.000291522240188245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0201212309814368 0.0414917575781474 0.00258308842958577 0.0275227803781582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0155419141198525 0.00637978763635038 0.00119236977516244 0.000291686710492431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0201287806277053 0.0414992236563146 0.00258347615202438 0.027521565976565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0155704218950592 0.00642670141819707 0.0011946691600703 0.000292674279303586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0201945247076897 0.0415912464206349 0.00261005196700101 0.0275475572342606 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0158915798947608 0.00690032305496483 0.00121134064831466 0.000305769800868964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0205000023099421 0.0421274979850007 0.00263695934579587 0.0276054149796401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0166599058957032 0.00771939973522341 0.00124117281735494 0.000333437646279295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0210522628114607 0.0428715471851439 0.00262040459143065 0.0276444723128259 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0155487200765537 0.00639595795955127 0.00119146401159907 0.00029253637359149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0200663806259977 0.0413709526450794 0.00255129312556424 0.0274502697284162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0155926188013338 0.00650392846421551 0.00119390723717633 0.000295709550221465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0201510162683321 0.0416811536345967 0.00256990360495622 0.0275741748223848 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0158966889986841 0.00694684998697592 0.00120509328213792 0.000308939261393104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0204433822196159 0.041960313896473 0.00259733765163104 0.027479982845601 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0201291745962491 0.0102511677685174 0.00134084889411063 0.000451814973058447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233718044020016 0.0449128231886278 0.0027012374924013 0.0278176091213001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0280734289776275 0.0149456146134484 0.0016164520708561 0.000739430176260356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0275515367466769 0.0481581010721905 0.00277862989966209 0.0279400367257522 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872854011814326 0.875948774608386 0.881262113376355 3.95813176046757 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0308051225389546 0.0414063846021834 0.00928649153966835 0.0215323959242765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872892627731581 0.875979273561391 0.881199358094544 3.95829239168368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0308393092016142 0.041464239446781 0.00935165609436178 0.0215999136992682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872710664768366 0.875789742452705 0.881130520174807 3.95701002081662 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0308177375444222 0.0415671615974363 0.0093510143224125 0.0217474954360415 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872483084654699 0.875547584835038 0.880615422423499 3.95498648677884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0308444277309432 0.0415634312502558 0.00935268761151392 0.0217267986103658 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.871865726910357 0.875010030152 0.878935452096543 3.95034352081882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310376627669536 0.0418678829548888 0.00937413716827001 0.0219597993976041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.870531921716448 0.87378970584386 0.875294710513562 3.9397607742325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0314075669830778 0.0422402379690978 0.00932062374052832 0.0221044921356304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.873057190505072 0.876151135886555 0.881315390205817 3.95960971811655 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0306913380048106 0.0417698405962522 0.00919407141934383 0.0219458741175729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872826817607413 0.875931849393317 0.880801455188254 3.95775023049688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0307378238936497 0.0416213767844059 0.00918538074853564 0.0217998151867292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872313078411784 0.8754887448231 0.879470128375671 3.95424755159353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0307902557807505 0.0419987716500012 0.00908084231289726 0.0222544107804677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.86819869317014 0.872420968799649 0.862742557291548 3.92315502416106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0325684114606188 0.044426340594282 0.00899472531922244 0.0236477097629357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.86314392125099 0.869665889386844 0.82935019254257 3.88138618560873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.036309160227711 0.0490948535310333 0.00883890977066835 0.0260413694130277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0361008795542222 0.00123340363951976 0.00373759703700308 5.5437087608939E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378255656940151 0.0181667941106978 0.00427706092452943 0.00895306772136217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0361017048934965 0.00124781231566959 0.00373760786893744 5.6363944553725E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378264172702089 0.0182102912217141 0.00427724133124189 0.00895943751024772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0361068011289707 0.00130920824020365 0.00373823334711203 5.92644400229969E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378289543404961 0.0182776767447581 0.00427770713382106 0.0089623500673609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0361309522244259 0.00149727851481544 0.00374132407035192 7.09473501241311E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378396675877763 0.0185520629742391 0.00427946720264517 0.00901034262939151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0364605753967789 0.00265687745159181 0.00378028989170374 2.04506076695137E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380066943720025 0.0196798352161911 0.00429935596116322 0.00907629921113837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0371514233891858 0.00405309381286048 0.00386335794910669 4.89519122968042E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0383617802858763 0.0208645590979467 0.00433959920536395 0.0092067254993639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0361349154214276 0.00140306324402928 0.00374234232192173 6.39734861752629E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378535631874719 0.0183304079014555 0.00428163262624138 0.00893295094297356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0362184692769264 0.00176517093071547 0.0037535586235897 9.17564659667848E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0379040787547989 0.0186781669639344 0.00428940476587244 0.0089175098114898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0365795624977073 0.00271259850303158 0.00379710554917024 2.10845841777648E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0381132287642384 0.0193374295043678 0.00431574345470442 0.00884999293392098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0405922830216517 0.00719284525369456 0.00429289729980253 0.000162482269932188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0403022382635302 0.0226445786761864 0.00458566991620974 0.0089419842523489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0503814776557255 0.0119015422276452 0.00552868932145302 0.000471641205346926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0442925835950278 0.0264080989447304 0.0050975139315152 0.00939753243876963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962626027034126 0.967398185677087 1.1063538127493 4.87806743758274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234158772465554 0.0283364194360783 0.00295180351606301 0.00603724917561817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962496098534465 0.967302871651248 1.10631279894658 4.87727552597051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233630474534525 0.0283586749003168 0.00294808527695644 0.00604450462316385 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962475974138124 0.967302680070616 1.1062837945756 4.87724110869578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233049757705529 0.0283724920645178 0.0029267684738859 0.00604972412709833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962420894775989 0.967290216781793 1.10614205284652 4.87704437162289 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233121252293488 0.0283834210225936 0.00294984281868237 0.00604028604916173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961936597960429 0.966997860170938 1.10370955267617 4.87309312423886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234572433919597 0.0282319772967962 0.00304193172029628 0.00587848736697451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960996315165473 0.966248243834929 1.09998314676586 4.8651350787178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0237065022891675 0.0284348515787461 0.00313211724204632 0.00596342528823458 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962459394262388 0.967231353264933 1.1057331769379 4.8763228012355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234599685796755 0.0283873744014245 0.00297608621866017 0.00606075588841648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962761257281473 0.967533095687965 1.10561092298405 4.87881081920863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0235240841883284 0.0283966341244968 0.00298518172187516 0.00606274273821991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962291538984805 0.967081558032063 1.10401778355181 4.87470854998534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234953577831975 0.0286041154841884 0.00291624123533502 0.00618307453618799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.955919506340068 0.961249113984067 1.08253968681613 4.8163270489836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251550695465366 0.0302176637720098 0.00287602412732606 0.00672674128402061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.949349342449025 0.956282359237856 1.04381378469533 4.75076969402132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0291102170635578 0.0340452745529238 0.00297211002365529 0.00806843284895722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.494828532150858 0.4883167069419 0.3792047285601 1.34391334199798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0348528848274307 0.0222043983827094 0.00917923547022055 0.00619476290138952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.49492568785689 0.488425237203805 0.379168502771676 1.34432732839642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0348466834451367 0.0221707426530893 0.00918134303739315 0.00617453512357697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.494923239456828 0.488434765829909 0.379139699904151 1.34436323661247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0348456163585856 0.0222569741941783 0.00918527639020923 0.00624433719270995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.495038392203685 0.488576790277326 0.378982178262766 1.34483468237446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0347935151751625 0.0223175077091952 0.00918508510403273 0.00628803571661841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.495029725878536 0.488727815738351 0.377703967479819 1.34466359096319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.034939182628056 0.0224490180488784 0.00911850444270246 0.0062595249155576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.494870524228407 0.488792619664537 0.375520763933636 1.34344264357313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0351947395818891 0.0232469542095211 0.00915259817022452 0.00659914928441227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.4949027959055 0.488440318547335 0.379225166724721 1.34436595074691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0347845002933979 0.0221532621225572 0.00909457322942548 0.00614766191055363 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.494816656551588 0.48838798537052 0.379101425889676 1.34403817079358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0347728752871049 0.0221836313726929 0.00905605690318768 0.00617545011877826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.493554468487457 0.487283643732761 0.376743149656562 1.33743879714209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0349871820312227 0.0227615299209704 0.00914549500132509 0.00647950100904585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.49421070125211 0.488903889914642 0.366028913100618 1.33505852104983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0365142149253581 0.0264656730032417 0.00930518062496542 0.00781006205755026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.496702844790989 0.492631079541004 0.346465803171892 1.33392556770755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0406527400676627 0.0314668629707388 0.00942615460063285 0.0088640048945597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480965145517659 0.487544132713497 0.511336431644687 1.48256021082995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.015433128481912 0.0308027306402779 0.00204845382952168 0.0186426771191608 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480784295630154 0.487364935148909 0.511366728520898 1.48188890397254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0154428451249633 0.0307899175928158 0.00204906087669604 0.0186422544680812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480943835449286 0.48756878034855 0.511495775270513 1.48301970197019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0154521212490028 0.0307912893370294 0.00204951674536986 0.0185814372283413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48089584336026 0.487551944316808 0.511514901271964 1.48306799982033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.015472903764155 0.0308965799574584 0.00204945330795178 0.018721790781183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480950221833546 0.487694990272731 0.510881991077268 1.48269602224112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0159057901870834 0.0310882300436169 0.00209953822430691 0.0189096575136451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480679979264755 0.487602085192995 0.509568705666647 1.48072002532105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0163986464093383 0.0313528811092887 0.00206056236462434 0.0184188273425867 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480907522313842 0.487493551271706 0.510979429711528 1.48233550008394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0154949705810168 0.0307526899752577 0.0020780246817618 0.0185434159393566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.480903599336968 0.487554389285728 0.511184188923461 1.48263171629615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0155569430425284 0.0309419398982561 0.00207355817753642 0.0187243015874485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.481085452422662 0.487908813495539 0.509962957847523 1.48285054917969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0159118218546351 0.0311705372101101 0.00212953441442381 0.0187851983498317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.47949208907629 0.487009436228284 0.502039360717897 1.47147228653088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0179733518709953 0.033021085668999 0.00199150669513554 0.0185865244104269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.474968328653616 0.483415844314151 0.480200526952856 1.43787805152687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0217010139955417 0.0373021516699671 0.00205532857835479 0.0199214683724495 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.93022420183783 0.933595992099387 0.491041715817215 3.98510108262845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251727936449096 0.0273918023419052 0.0120886051390979 0.0127973545729384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.929658752143682 0.93306658416046 0.491070321580149 3.98108869148206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0250540666469646 0.0273609744848048 0.0120218260266276 0.0127959361165362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.929533089584649 0.932940190289691 0.491162743565464 3.98025330507899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0250608123366504 0.0274471812247388 0.0120224339317121 0.0129435068340206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.929404320250225 0.932808531582634 0.491124202308259 3.97928222774783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251803845875934 0.0275258227875804 0.0120945570638082 0.0130050978157734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.929762486898382 0.933147479207804 0.490110384222078 3.98119263706491 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0254707665558492 0.0276485179692442 0.0120173557686599 0.0130219989297359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.931327671793636 0.934618713451319 0.488513404057146 3.99126707834147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0261081207312399 0.027635213096886 0.0119126934930326 0.0127062397726968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.930141214727476 0.933476693021355 0.491087592086748 3.98427233136728 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251296931466168 0.0274864541828942 0.0119833950757362 0.0129638378241687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.930035863334136 0.933338977804713 0.490718872992075 3.98283280329874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253236989009948 0.0275509982834628 0.0120579862703902 0.0129645559170021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.93069977505172 0.933903854566898 0.489906463716145 3.98680267148654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0257653670846851 0.0277143690354748 0.0120927070254841 0.012975910143599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.928102745353832 0.931369518006568 0.481875303468895 3.96079166728644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0291973182441349 0.0294434243813511 0.01244376018087 0.0128338204285074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.925185648783322 0.928724430247802 0.465992313969549 3.92649827957538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0329653502737129 0.0327812837957513 0.0122045891928185 0.012653428896588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.575863024714309 0.575667176630957 0.454701756234047 1.78896749461571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0222609626023619 0.0253022605312126 0.00498642703260098 0.010316557188009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.575596192267932 0.575396082035027 0.454669206868584 1.78763257742842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0222422207142245 0.0253995196043179 0.00498323970500784 0.0104111863077468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.575633333184408 0.575428417210963 0.454723618289463 1.78779127861771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0222064993695123 0.0254112628137218 0.00497802525470576 0.0104043288384123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.575534975088064 0.575317861921047 0.454680034265536 1.78721566874664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0223266201002805 0.0254474288370468 0.00503671489792455 0.0104550565947228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.575047881687593 0.574768500999386 0.454183114798288 1.78401322535645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0224729305188654 0.0251691999719062 0.00504745349791672 0.0100083566838188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.574681722218226 0.574249074536162 0.45246115192306 1.78004781406117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0228065100664684 0.0256502309222776 0.00496803686393709 0.0101750814694935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.575360672444607 0.575087781051867 0.45456714010011 1.78626368706059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0222599765228782 0.0252013412076017 0.00494666027056594 0.0102565594232167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.574689173433828 0.574349264355311 0.453946151389031 1.78224585901646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0224156197183032 0.0251304254281597 0.00502605897276767 0.0101095055445696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.57525588248662 0.574895519663381 0.453076268291682 1.78416422305707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0226182086882782 0.0252617909019347 0.00509741145815032 0.0101627499122187 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.58014648653458 0.579110076741894 0.446149620481161 1.7982196940349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.025079674838012 0.0277628601924983 0.0051900286470959 0.0109713050979255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.587738537922058 0.58487466438578 0.43238991116079 1.8145397621621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0294816744453673 0.0317700537289498 0.00533307987358737 0.0119584064402814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986237891142774 0.992483160439857 1.16450874483541 5.13572875512415 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.023059805916357 0.0324309951584524 0.00269029048750399 0.00830307496713419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986212034805319 0.99245640664844 1.16441529534121 5.13545539306393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.023007594395476 0.032456986982379 0.00267730592730073 0.0083079926545787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986205006251977 0.992450135178123 1.1643523770509 5.13538564353118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0230858793859941 0.0323189372952003 0.00269242128643259 0.00819372331862381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986012823775561 0.992261193864387 1.1636156148651 5.13332113863743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0230823374563876 0.032405017009088 0.00268895306912802 0.00822038292709504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986034050850365 0.992342703998787 1.16188333912389 5.13341183102699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233053873381809 0.0326954122762589 0.00270057503178966 0.00828079365261354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986042705740897 0.992476132970032 1.15827030873476 5.13297149942075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0235778286026582 0.0333801457636962 0.00268655854934686 0.00856697621093242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986365988048927 0.992583302528804 1.1646125217135 5.13671364095866 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0230085409610482 0.0322478958410844 0.00262608510418439 0.00809811536276401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.985627609586921 0.991833110954475 1.16332335597966 5.12976848292341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0231825047246786 0.0323267222739832 0.00268098140502579 0.00812146730434091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.984772201991318 0.990996575250221 1.16202261463236 5.12272647161958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0232564030097487 0.0326461212712362 0.00261853214803393 0.0083209979042663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.981570351569901 0.98856663321399 1.14092628230272 5.09122235315224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251963975298809 0.0347990202860643 0.00271635517494887 0.00923112474258561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974352240685264 0.983526598329776 1.09987057349795 5.0235005839372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0289289167202271 0.0391209716360039 0.00277660128823915 0.0107273184112923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0185504888321728 0.000850685011651713 0.000849344214611415 6.90008906642612E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0252437858783453 0.0160978804637696 0.0058765528079895 0.00460329867610903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0185644743429434 0.000867639564145752 0.000849511900355076 6.96186569184394E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0252564336402994 0.0161319003226371 0.00587571380493788 0.00460948541380092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0185826644002576 0.000932562329961225 0.00084988690378663 7.27879863480043E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.025274747408716 0.0162740917994403 0.00589887703427808 0.0046451648217653 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0186313313071885 0.00112120496292338 0.000851257432953712 8.4599949439258E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0252467288959126 0.0163263511785395 0.00585093548178687 0.00458980510108033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0190093116771851 0.00214844909107961 0.000865204484791927 1.97600002706094E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253501337295492 0.0174387436141851 0.00578951456918876 0.00469651026659722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0197459911046018 0.00331751771901826 0.000893925502521601 4.19744005631446E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0254605841463199 0.0186225259521542 0.00550050374940248 0.00481770324242142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0185954921932159 0.00105706296117991 0.000851947523635189 8.34925541848336E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253627864294833 0.0162203351589855 0.00598711991131414 0.0045367791642477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.018680251477388 0.00144865240756538 0.000856833622278936 1.19545563965029E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0255028784891706 0.0167560067020116 0.00609660205609523 0.00459428408926386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0189889976754092 0.00238067288941218 0.000873152701001179 2.52117335547711E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0252235437021886 0.0175356322084222 0.0057268384619951 0.00457666845342501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0227752165453746 0.00658241508423451 0.00104798162347298 0.000167286587667048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0272300078825947 0.021042689651296 0.00588273733380612 0.00477162318810572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0316260527055157 0.011147821008668 0.00144910488633137 0.000489492768966124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0313393553942946 0.0250049964942931 0.006365222411401 0.00544105478454034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0123018245854757 0.00531084592671688 0.00096491764221538 0.000251897475522643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0155237395007849 0.0357433950046785 0.0018980004768747 0.0245493411422242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0123068741074938 0.00530849898980043 0.00096421836454881 0.000251787908878221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0155308042320279 0.035592008292015 0.00189748903378626 0.0243462993890753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0123159307630167 0.00531460171208016 0.000963742961849742 0.000251880080387771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0155421247533626 0.0357559720381725 0.00189712713406599 0.0245757085789763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0123448629299927 0.00536085688316981 0.000963452929848835 0.00025271672859862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0155287557856647 0.0356995249840426 0.00187021666925621 0.024528558977176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0129131909547091 0.00607691274442068 0.000973362070242101 0.000265560925610409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.016040178811568 0.0362205721509601 0.00187077893043651 0.0246352870753386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0140136029481962 0.0071825249340438 0.00100126468847801 0.000292383933858476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0170480717939965 0.0372430684481618 0.00191128299361084 0.0248486286831147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.012316983261068 0.005360968221584 0.000967139865939886 0.000254597326235304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.015488741883175 0.0358081227443247 0.00187336608808969 0.0246029689422249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0124178172495921 0.00552877966497286 0.000972166881331063 0.000259389762060032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0155376196894971 0.0362006667713338 0.00184827172086072 0.0248713467143694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0130468070375895 0.00622365289839997 0.000991915381195478 0.000275714496506505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161438962819329 0.0373538113723202 0.00186714758082795 0.0254835085753685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0178221513697947 0.0102204191779963 0.00118849582894561 0.000419439574969907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0204183506459131 0.0421636510958978 0.0021180533869883 0.0269503500244694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0247440778576135 0.0149082899944102 0.00157405489187868 0.000688477701757014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253074613892548 0.0454996023506363 0.00241990453770251 0.0273993633402761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.901845991221295 0.90997919940096 0.922948995188415 4.24671247661586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242958734548735 0.0446021703402553 0.00895219021884383 0.0344731694953156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.901794279726258 0.90994045506449 0.923004919445053 4.2464905286215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242263925785316 0.0448529090432051 0.00887876774693696 0.0348176532888471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.901597638164801 0.909757469125515 0.9230423308819 4.24521371702258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242068518819766 0.0445738024443572 0.00887130591835701 0.0344038061071849 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.901244342333656 0.909460253721562 0.922992265950253 4.24307952082582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0241944136685591 0.0445761574637959 0.00883570914400352 0.0343054016550566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.901471805537584 0.909812447436326 0.922007117677488 4.24515498323563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0245236226394781 0.0450986031643536 0.00876316265369202 0.0350063361615178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.900561074192941 0.909033285043008 0.919103026462853 4.23690034718742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251222742872703 0.0460022662989374 0.00870629287801342 0.0360323689334645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.902005638004046 0.910165613884016 0.922805171206802 4.24790969100781 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244715426553027 0.04472687551332 0.00911693554473448 0.0346558163161632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.902272261715803 0.910425040101585 0.922872177055455 4.2500218424397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0245616276727777 0.0445472748354963 0.00917357537400963 0.0344261378671952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.902514191768135 0.910649900516288 0.922318776563782 4.25170124877748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0249337677301021 0.0451867646712728 0.00924192303358649 0.0353706846790291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.900469017803221 0.90893473140124 0.910467809594244 4.22936677648327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0279011734898392 0.0473908766757474 0.00917196521915421 0.0355554444391856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.894381371105402 0.904086165846885 0.886387748913027 4.17501937601773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0321332764814721 0.0509621949711947 0.00907495624563692 0.0357255605417245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0346863748213952 0.00112657171428553 0.00391242329456474 4.52040352298714E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367256368559035 0.0179353712149877 0.0047518297429508 0.00954589213371621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0346999230416564 0.00115853934881213 0.00391479047818132 4.69442059694624E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367389726766127 0.0179652619057611 0.0047548237165975 0.00954443016154568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0347166455409623 0.00125133562826543 0.0039175538335661 5.11626528263239E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367535090146954 0.0180734019008448 0.00475801855363475 0.00954400547079397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0347612113579001 0.00150143690913206 0.00392439957532126 6.70173620750794E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367885184592465 0.0184599252759536 0.00476515407517143 0.00963841267682464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0350874715891252 0.00287628446756383 0.00396642866474441 2.400388902382E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0369996569467405 0.0195155827355954 0.00479978492135793 0.00951145910939802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0357411802190785 0.00447901579644999 0.00404380710526094 6.07528670223273E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0374105585973396 0.0209268415144216 0.00485990920072319 0.00964194160407097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0346937344390799 0.00138204778641335 0.00391183344147835 5.93775441532588E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367230965574378 0.0182351456563343 0.00474836607061902 0.00955400352823684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.03474300713807 0.00185874500166857 0.00391637917336517 1.01716189098278E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367435702953489 0.0186980229401549 0.00474775691041873 0.00957616650736386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0350187610931586 0.00305650169275209 0.00395287195620261 2.80821325218793E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.036884166529835 0.0198588593933939 0.00476559129111455 0.00976201907812303 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0385610158576744 0.00859737505585293 0.00438145907253775 0.000246189235145039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0387949141377486 0.0237631186323152 0.00502573210630543 0.00984981094238838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0475678447769412 0.0145426398989782 0.00526931723379758 0.000737303221572431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0427122891990583 0.028241379620315 0.00533384852186833 0.0105280869520166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974015059469525 0.975713564843195 1.26612032166169 5.09644365649235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244529273068145 0.0230423226793957 0.00486037320359405 0.00455565906990833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.973896423860857 0.975592467650253 1.26588323781688 5.0952604241827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244787501437996 0.0229850535214569 0.00487838906612365 0.00448395410992241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974075005640003 0.975763396602935 1.26574998599328 5.09646324768246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244112656241121 0.0230165655518669 0.00484063638104133 0.0044916138775933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.973601241834035 0.975278063765261 1.26529681519347 5.09226064494777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244998994467896 0.0230103134553744 0.00487143765886404 0.00448256394130593 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.972344848279342 0.974003526322492 1.26166227027339 5.07888663853465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.024652143455962 0.0232865010133139 0.0048750586128165 0.00458088340446429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.971611234699313 0.973206451858032 1.25742881028919 5.06896431375947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0248859771360947 0.0236256498579655 0.0047868895474614 0.004617839322654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974958916826871 0.976630437464859 1.26657560135423 5.1041010932523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244485505864869 0.0229221002264657 0.00483783883356495 0.00441583319333056 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974170196182224 0.975825035028318 1.26524017144109 5.09665257013868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0245249581836917 0.0229737646721205 0.00481123357672229 0.00443836334077811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.973865871740965 0.97552847281549 1.26410289163252 5.09347813805879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0248577541221558 0.0231068802830495 0.00483722755465199 0.00444732033192468 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.96923701400832 0.971053339172596 1.24570316187786 5.04368190545769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273871209413471 0.025187150343217 0.00497121515107659 0.00493901002365906 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.966644643299205 0.968365921064329 1.21512413810348 4.99991258033189 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0312341258998788 0.0292232367888251 0.00496300403857085 0.0057414588415072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.535807755125255 0.534358587539305 0.421007790401945 1.57054209655106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264329916564235 0.0235727200902449 0.00779285838072288 0.00926844112462163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.535732349497841 0.534275180822947 0.420956992119338 1.57014882060328 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264566332843239 0.0235938227266169 0.00780141220029412 0.00925253578460605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.535605493530677 0.53414179154637 0.420935678152323 1.56953528303132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264492210418046 0.0236340029530731 0.00780625736055652 0.00931054607764888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.536132984054815 0.534659166136713 0.421516628825456 1.57237608974847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0265386192869407 0.0236554138206497 0.00786949291648976 0.00930687851527154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.536168479496811 0.53476408216801 0.421116903737997 1.57257590499193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267839210539062 0.0245798931282504 0.00787635914463269 0.00985806662571351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.536452365451645 0.535174986325192 0.419839763190747 1.57312674640009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0271018886267593 0.0253225376512945 0.0077888494501957 0.0100082663042031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.536854681988696 0.535414534324257 0.421438204384428 1.57555777496668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0263128447254338 0.0237699440647885 0.00770024181820127 0.00942617530831755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.536975343446498 0.535531298833576 0.42161979444438 1.57625886453797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264399550408969 0.0239277042417905 0.00775074946611994 0.00949470664322047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537345500973513 0.535911163818973 0.421330315975599 1.57765886488556 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267409017636062 0.0245932421898911 0.00785397932854444 0.00987218792338064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539222120964463 0.537706415923415 0.414738632788294 1.58021446159267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292973043825526 0.0281387761699291 0.00792603933862207 0.0108524946259442 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.542709716949387 0.540710023411656 0.399694409448458 1.5806642014492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0338602801050162 0.0331832960526269 0.00832502297464469 0.0123682209908124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.390026034285127 0.396906185678249 0.376117879022144 1.02218423166603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0135578264897358 0.0309249483813703 0.00182821656240367 0.0175641411845982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389897630670307 0.396743628502422 0.375859765172265 1.021197235844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0135837158821182 0.0308481155424582 0.00183033123216212 0.0175094126047577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389903024448012 0.396742212845058 0.375857715597044 1.02118636172127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0135308507590928 0.0308288473522459 0.00180331366549564 0.017434601205484 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389898359876341 0.396730391862658 0.375770428024142 1.0210401602877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0136046454363929 0.0310566592565322 0.00180709270910181 0.0178194018047288 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.390287083214539 0.397200448834743 0.374590609431637 1.02091583125562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0139539122700253 0.0309135952244041 0.00181079015868107 0.0174061689917384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389681430954466 0.396622696265553 0.372444115020248 1.01622939668845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0145565522007635 0.0313372557132016 0.00178359011908653 0.017295422352038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389633385128627 0.396491311660006 0.375709716567078 1.02026055362749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0136297434463122 0.0309784844813891 0.00184166032256868 0.0175290562049557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389961301393698 0.396826020669271 0.375604716697217 1.02113290871827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0137451770028188 0.0312809138339091 0.00185643497672902 0.017927312272693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389747532446817 0.396684719868136 0.374568987906069 1.01910051613021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0142360074548451 0.0313270289945053 0.00193203010559179 0.0175239520488233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.390117025868384 0.396772549595582 0.365769658108253 1.00988326397864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0170727140684844 0.0334318080027118 0.00180919001956213 0.0172477691694303 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.393681416106429 0.399137128803538 0.356105772145081 1.00948684705526 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213947901999024 0.0366382382733631 0.00192881984024057 0.0174089972713435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961884881163318 0.962386643331408 0.49258324214615 4.20074834261828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240592273492934 0.0207985335118449 0.0121000735753965 0.0099683074548538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961875667151185 0.962369136874639 0.492674202027335 4.20070989454623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0243158933880503 0.0208227397159585 0.0122990100797903 0.00997584618090634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961592705814294 0.962079455743138 0.492894842201149 4.19876782414465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244112780702748 0.0206706497092918 0.0123632768123535 0.00981045895562616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961874576670491 0.962350076607357 0.49272261419778 4.20076721434532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.02436866467214 0.0206983890676447 0.0123121410704616 0.009814737100143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962118529632025 0.962563756797984 0.492595639224813 4.2021859337561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0248943499033018 0.0209113228658134 0.0122143735176792 0.00981999344663315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962056489143076 0.962566764308915 0.491175752216516 4.20043984110199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0258439898038748 0.0216723144340496 0.0122445494976006 0.0100386920464813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961369916056066 0.961868991163933 0.492992517371623 4.19718665612793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.024356262777515 0.0206729458434569 0.0123241701158908 0.00979329969245275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961840691990944 0.962271448682475 0.492875099626964 4.20042526768387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244732313522175 0.0206106968548825 0.0123428006649573 0.0096325353216063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961617505799592 0.96193642842547 0.492874484525157 4.19765636470898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0248736938777467 0.0212064164403009 0.0120934042673614 0.00986563757589738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960924319515088 0.961758846087745 0.487185841644297 4.18986822226243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292749897967831 0.0248568126210898 0.0122532768757633 0.0104952418478826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.957589428005987 0.95983027749891 0.476630082911651 4.16530285438046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0344230718802255 0.0296425972153841 0.0125221189564996 0.0115073547701043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.611485159575439 0.614936268512693 0.479525276343721 1.99775290361039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0176903918266336 0.0283400687509797 0.00438917886084293 0.015694563249245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.611554886207717 0.615008294953238 0.479478496954492 1.99806435877186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0176639165300271 0.0284397524706072 0.00439333457647424 0.0157567597160588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.611560502648158 0.615017412888664 0.479466623217852 1.9980953853523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0177067893626394 0.0280595521299251 0.00440255850770074 0.0153008911099537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.61211881219771 0.615594575093053 0.479184982085159 2.00068630883546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0176371955812586 0.0280738211841111 0.00436555593805445 0.0152343193442619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.610878712415386 0.614489787219806 0.478011450451688 1.99366616164219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0178765560023796 0.0284261992125908 0.00436778629542924 0.0153081741829698 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.61129561153794 0.61500715351625 0.476849564488281 1.99485922617746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0187041690998595 0.0288878392352348 0.00447111091435823 0.0150749373414819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.613091378681271 0.616565140980521 0.48086554558415 2.00715673304037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.017666478752122 0.0282976357571392 0.00435941248877802 0.0156010113340221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.613870374305406 0.6173860391243 0.480727582421363 2.01100769081345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0177722030100964 0.0277948214906294 0.00440852226214944 0.0147706108073323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.614822259580105 0.618444840000278 0.480112090772931 2.01551984258828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0179875971869793 0.0282059009357301 0.0043037905300271 0.0149629583119772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.617460656062764 0.62107918474697 0.473950618062185 2.02191786219082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0212314039357413 0.0310278585752221 0.0044593781435022 0.0151553046922096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.618968427467428 0.622279707593617 0.461498713034681 2.01691242651816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.025910471975043 0.0353738192313547 0.00454768591828596 0.0160066376602146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10485664113752 1.11344831338575 1.24077487132329 6.22042936394704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.017343768382369 0.0329711400978109 0.00168695875477072 0.0120099174554981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10453221653584 1.11313056756201 1.24089491289779 6.2177167739323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0173490677214289 0.0332004756297326 0.0016875629781111 0.0122538601496952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10485874598833 1.11346941029124 1.24105720547996 6.22087197234669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0173497091613625 0.0332215987631477 0.00168811246602095 0.0122637868188919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10480765479861 1.11343132431913 1.24076398884302 6.22028388150403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0174301937773589 0.0331227533330972 0.00170342929470955 0.0121337926680423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10592150692601 1.11467999881808 1.23962376653329 6.23049691463689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0176506922857059 0.0331331151260807 0.00170338300467543 0.0119539290482019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10571432651736 1.11456885440353 1.23650828914007 6.22716521540025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0180540669254602 0.0334609804533347 0.00171559525029304 0.0122193307075127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10481263888863 1.11339102553014 1.24010572622863 6.21927354283461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0174367204247647 0.0332087811607512 0.00172192772940627 0.0122715529164769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10463660734711 1.11322310416137 1.23982361459674 6.21759696511158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.017467382166255 0.0333022049061897 0.00171365787469659 0.0124511410994323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1038424141569 1.1124669455265 1.23836841846709 6.20977987492681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0178417559576343 0.0332552011392493 0.00178138759947756 0.0122566790548882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10563708191779 1.11453994830038 1.22291257485952 6.2168729947669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0204601967047792 0.0351979773908293 0.00191866803499884 0.012792743581205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10163089689363 1.11126385805485 1.19447826356767 6.16670437736479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0247125114885536 0.0387997550985452 0.00218304127766587 0.0137667871737255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0164228382763903 0.000907727592973111 0.000726611389523409 8.12737543707674E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0232047451688884 0.0188959915582781 0.00595089814588491 0.00573093247145148 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0164186137096669 0.000943883078474908 0.000726676315102929 8.39330358673928E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0231272248196068 0.0188335253188123 0.00589075572651438 0.00568291060429863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0164183674444621 0.00102755676224933 0.00072691567730607 8.9438423719341E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.023200201540833 0.0189488600686087 0.00596641077690966 0.0057136529670921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0164310455557178 0.00125515450948959 0.000727928204808942 1.06861815672685E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0232754307292636 0.0192408527680876 0.00603944340399556 0.00572409740320787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0166640705196111 0.00236881010209251 0.000737116498164734 2.49877934382074E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0232808984108954 0.0206443454866414 0.006003473617792 0.00590069068258703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0173438630864138 0.00360750978254457 0.000761858480469243 5.14486243284904E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233041779632285 0.0216364875736299 0.00567833074128041 0.00592788796887151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0164276676387211 0.00113786784561454 0.0007252519169915 9.42784179029878E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0232828548347006 0.0190050158061515 0.00604611733918406 0.00567342763320229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0164607193610798 0.00153813624760578 0.000722890894465513 1.29407811868537E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234139988163168 0.0195110714047524 0.00614244325619439 0.005726990385735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0167092684200708 0.00247436473248133 0.000726578758333672 2.59666715070537E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0230511263029328 0.0206568231068702 0.00576753972162656 0.00588369964548056 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0209671235874697 0.00674313922052783 0.000854022171679979 0.000167151221883338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0256145336130172 0.0247851473064732 0.00621677698336788 0.00644886818129836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0304010131916755 0.0112851251016105 0.00125225048515172 0.000484753820540881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0297684938009602 0.0284423184120736 0.00629342844626921 0.00714469769670738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0125814262489981 0.00550578032246016 0.000954978573217778 0.000247491091463132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160868492763695 0.0381173203272257 0.00202457782259743 0.0255001024812964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0125802365527315 0.00550540346200062 0.000954337104430467 0.000247870538347143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160755409290347 0.0380449010268761 0.0020224649891566 0.0254610086403501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0125805209213204 0.00550339269828902 0.000953401402695231 0.00024769417562469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160557233001461 0.0379927875379198 0.0019999055263773 0.0254083290515129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0125985874033306 0.00553737720031481 0.000953776655820595 0.000249982513305475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160747409063768 0.0379991024822338 0.00200017382128345 0.0254192841923817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0130864356205867 0.00613135356560704 0.00097017096227092 0.000273094103972433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0164413842145995 0.0383099685954368 0.00197265230615186 0.0253044323731754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0142124054755944 0.00720595201756659 0.00101369126719627 0.000320789152576044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0173257026012826 0.0394985119579236 0.00194387242143543 0.0257615796885008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0125796711369026 0.00550448453894306 0.000955323043643063 0.00024534319712629 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160341009807424 0.0377067843875565 0.00199281451845271 0.0250220643758103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0126376376352814 0.00562150240611598 0.000959156995098397 0.000247510554095247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160794386363818 0.0378018820549151 0.0019891013165372 0.0250452016579008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0131481891837557 0.00624416362446662 0.000990150064785119 0.000263000821951936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.016552748072723 0.0383368803602528 0.00200482557804498 0.0249866366086152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0178889665196827 0.010346562272662 0.00127002860095209 0.000441599653926797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.020008072460593 0.0418081112907633 0.00207808995575431 0.0249127368461235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0259901643900622 0.0156882627735807 0.0017999664365581 0.00080158439085175 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0246437816711559 0.0454323755764495 0.00229401673960088 0.0252142044571142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.90008419407179 0.908677854116308 0.918838972965882 4.23416721396041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0239926499195984 0.0465436988252497 0.00837241203065679 0.0369239487300387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.899736042639493 0.908357069470009 0.918711394024932 4.23159801865949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0239989318538049 0.0465358351835688 0.00837322669614323 0.0369222328924175 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.899365896682225 0.908038330661684 0.91828147116832 4.22879616100853 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240565497690977 0.0464991387543945 0.008447676078418 0.0367728736309881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.899233578527514 0.907952914518874 0.918167773832858 4.22830617466194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0239693677479237 0.0462048965544726 0.00836175947761179 0.0363073478191398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.897435125435239 0.906335128056161 0.915718126857789 4.21475330139025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240166725114924 0.0457117033767766 0.008205395044218 0.0352612470202519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.89592772472307 0.905088142829216 0.912770741556143 4.20383407101057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244274838856461 0.0466746132602052 0.00806733651886329 0.0361364634531221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.900090200599415 0.908692294553115 0.918842276216282 4.234368742683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242795152938517 0.0463510805612793 0.00862385483818629 0.0366361229416739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.899229312477835 0.90784841511869 0.918489969182683 4.22806702822542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240102177302896 0.0462532082111172 0.00835379389477545 0.0363887139110581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.899009065140479 0.907657319963682 0.918134220171759 4.22749206746557 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0243766368996194 0.0455199957958985 0.00845397042268823 0.0348904892783818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.895332311644793 0.904790053102695 0.90468779689665 4.19858103377988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0268994561736207 0.0484926859730228 0.00808689055090676 0.03612705056494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.888410215844822 0.899802390403809 0.87580430206887 4.14112423446772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0312530732373137 0.0536029961675867 0.00805800022028203 0.0380939076435994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.036061837908707 0.00117740654148253 0.0040849053817596 5.15036637832576E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380936148664236 0.0187598180436743 0.00485486683542386 0.00996466022196672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.036058175848737 0.0012039774035353 0.00408527462216045 5.38299612900377E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380911542876177 0.0188019913588152 0.00485508584563037 0.0099701439553197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.036059274713011 0.00128192303949289 0.00408625654071304 6.03165183815791E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380574152628195 0.0188768973122331 0.00484639910238681 0.00997441618687769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.036074787588617 0.00154443390387222 0.00409010344108308 8.6172631812811E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380942624768306 0.0192014879788248 0.00485722734395865 0.0100415474868371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0364217200299351 0.00314249173605463 0.00419422309677131 3.75571962764786E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0382731450179636 0.0202638658189585 0.00492950352796191 0.0100688415013775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0370668822644383 0.00495668962351542 0.00428490197791515 9.79886694014115E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.038600331517398 0.0214263036543516 0.00497418442414927 0.0101249233180583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0361477129990651 0.00139492184226384 0.00413837575835919 7.07855163170751E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0381146347445267 0.0189761710091867 0.00489322394035457 0.00993114490819735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0362303037768406 0.00189093732171999 0.00414028073316999 1.2616183288437E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0381482741452707 0.0193308626462867 0.00489051646444031 0.00992041974194099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0365698595221406 0.00316605296632238 0.00416097102219424 3.56811341616604E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0383027600278494 0.0201211479089736 0.00489277444009105 0.00987642266540297 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0409564845565193 0.00891449135705105 0.00460746376985069 0.000303692331428142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0403467000850542 0.0242468657734809 0.00507989066982184 0.0101484597223404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0528752350337342 0.0150481622889881 0.00593159320540012 0.000898618036649377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0445072631333402 0.0277622473829315 0.00551323857917347 0.0103673473837316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974291935593207 0.976186481558187 1.26297702948871 5.09704094131446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0254758848089888 0.0247670896081757 0.00494385921026843 0.00513480141044842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974283313673223 0.976190175903711 1.26293827832625 5.09705356904968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0255221450473548 0.0247647872546089 0.00496919496817104 0.00512557338779262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974276925861177 0.976195530777315 1.2628909897519 5.09705958843952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0255189826073172 0.024763890718895 0.00496106169939645 0.00510554338830715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.973669406187732 0.975606642406029 1.26250153220785 5.09215739564808 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0256051232034333 0.0246063750998489 0.0050080230528921 0.00493930528693822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.971568560484422 0.973546365044148 1.26044505529553 5.0747153071516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0255844182521837 0.0250967342166208 0.0049033802430102 0.0052061255522262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.970596950174336 0.972581036108234 1.25729981059953 5.06519639667509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0259751894946734 0.0253223992338576 0.0049133901709051 0.00513143208614518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974261683469657 0.976165787729889 1.26275698765739 5.09684999722643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0255552601442588 0.0246722950641223 0.00495420966282392 0.00499519361740143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974462072879206 0.976360354628605 1.26275632071723 5.09870526369993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0256086276512164 0.0248315134078354 0.00494344736088535 0.00512922147955734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974556533629768 0.976430727105013 1.2616814509082 5.09902969693789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0258784927888579 0.0250135807366869 0.00494905289932235 0.00509723308686516 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.971450981195804 0.972913353935368 1.23715946114768 5.05424723420657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0287610090931195 0.0272684903665374 0.00514380295339449 0.00565087077523937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.970635499269261 0.971508259248022 1.19515963883535 5.01243766658894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0330928268960885 0.0313046735518487 0.0051942861489128 0.00650318629614858 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.538419701245104 0.536883926356322 0.420775263572383 1.58124139769198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0279117741355454 0.0251538896487108 0.00813627274588469 0.0100929872740767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.538575246691139 0.537034242194976 0.421008860927279 1.58206112602966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.027940128418536 0.0250991792740625 0.00814115297005705 0.0100209017871507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.538416781628712 0.536870293150795 0.420950285644012 1.58129164204479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0279906071982893 0.0249281287969848 0.00814801596721939 0.0098610289852719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537917741160685 0.536366477092253 0.420394118943976 1.57858344082897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0280122301392441 0.0248330999880797 0.00815425406460785 0.00976520506351445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537928004383482 0.536388092543878 0.419500017869498 1.57766411116504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0283111263042799 0.0252001187204705 0.00824937222099287 0.00983671335397764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.536098540520514 0.534595297915763 0.415668141564394 1.56642064565806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0288280609294975 0.025900725724329 0.00829367300508352 0.0099944823980891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537936776270079 0.536341270209344 0.42043511321685 1.57846184555605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0279503692907244 0.0249957444322265 0.00814682549580388 0.00995101512256231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537792336060206 0.536120387078052 0.419823238483702 1.57682390973379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0278566488680958 0.0250560931683544 0.00803633964322268 0.00996321676579159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.538018962205597 0.536267749458807 0.418753688078576 1.5764627589115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0280891297746222 0.0253566195078654 0.00805770790609664 0.0100220101183505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.542349089668063 0.540192561091372 0.410972022720473 1.58697720836142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0307651372145128 0.0289435639936264 0.00832260809273751 0.0109920395845544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544896554929454 0.541722276140573 0.388515253712089 1.5741394935738 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0354070695772572 0.0345984838178378 0.00822600123712489 0.0126881022674168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.388563132840891 0.395263396804531 0.372250747827503 1.01315955783199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0143633966999944 0.0310053204230535 0.0019840970000606 0.0168603173359712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.388025860220554 0.394742425502167 0.371795614629146 1.01106071050044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0143580259425618 0.0309491192634658 0.00198241960862888 0.0167437667221709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387806750782179 0.394520041103503 0.371395506824036 1.00983991474494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0144572989522824 0.0309547164418382 0.00203303703850357 0.0167404442424881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387524234328477 0.394226636838023 0.371208084148315 1.00866349659943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0146119429660024 0.0309215532900139 0.00207282956634895 0.0168206907515625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386592687104637 0.393317633817019 0.369258747673747 1.00390206354184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0148294488104728 0.0311220207897191 0.00205600058194297 0.0168453307201184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386575817337933 0.393331232834405 0.367306021277167 1.00172816207975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0153412912223209 0.0315944590376583 0.00202703464990594 0.0168869318694136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387912381043147 0.394609712832726 0.372081899039109 1.01112491426443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0143132618759218 0.0309335776063084 0.00193294085323866 0.0166948619721769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387549150955565 0.394250210972026 0.371378735241651 1.00932535341558 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0144129696079178 0.0309094313755488 0.00192692372912667 0.0166369274826605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.388259963436143 0.395004178302366 0.371011186348612 1.01135296123768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0147095037459363 0.0314605116520377 0.00193511477058404 0.0170897625704588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.390301011877259 0.39651398166344 0.36448633651143 1.01001348402498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.017512695139749 0.033358771089348 0.00202815040696455 0.0171005063160573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.39885901122926 0.402983270371801 0.356873681178266 1.02549968509367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0216331638910872 0.0374571810211018 0.0020620012171264 0.0183082002045702 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.964769948754352 0.965590653654989 0.489817865557372 4.22131946816212 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244859850783576 0.0227296282987505 0.012288625038201 0.0113771835883957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.964872239565658 0.965695484224748 0.489879315530018 4.22225782877395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.024706479563054 0.0227810503511501 0.0124405255533317 0.0113911472030342 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.964812294515843 0.96563878475211 0.489930372754219 4.22188362113639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0247867052392919 0.0227861369838476 0.0125428161768166 0.0113916223697626 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.964595762464285 0.965432170026826 0.48994722616 4.22029770509782 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0246321105307684 0.0228980288927969 0.0123914767706216 0.0114285584624966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.965259315453015 0.966175852332685 0.489558570281982 4.22662614645915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0254528474755003 0.0228321446298306 0.0127369811050876 0.0111236912622434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.965368485318147 0.966423596933307 0.488406355494539 4.22756198994111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.02632460684385 0.0230047066573817 0.0127430793444465 0.0107521255965159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.9639245096654 0.964737500269351 0.490461126236269 4.21533291409576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0248537262758826 0.0227126117859875 0.0125467306874601 0.0113476673085352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.963540018826359 0.964380768529437 0.490748277677804 4.21273255262429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0250733808970601 0.0227026808345052 0.0127173658213851 0.0112401610731055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.96358558265131 0.964535064758756 0.491364881146061 4.21494498774697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0254638594798641 0.0223927460434558 0.0127281802592204 0.0106459761449094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.96001942700336 0.962134880306398 0.486774573435502 4.19115917177613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0293793010095427 0.0252742210887473 0.013111333381756 0.0110780627759674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.949624788018868 0.953876462193031 0.475512244004512 4.11671201932142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0333840150428529 0.0289883072275234 0.0129461362122728 0.0108760453258737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.612988749076713 0.616506797783392 0.480282490067345 2.0060166915895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0184917344096486 0.028941213155746 0.00454104542952976 0.0155323490814469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.612671860123418 0.616173420641582 0.480088769881915 2.00418314740742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0184706425407807 0.028987438598518 0.00452097904516318 0.0156100130454998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.612044842296864 0.615531371500115 0.479710595288517 2.00058617174032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0184245451506217 0.0289074218994685 0.0044813195345722 0.0155153615334022 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.61218489616024 0.615643793022284 0.479847216650666 2.00127105702211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.018444294830812 0.0286861855404867 0.00447495705459872 0.0152155412157571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.611917968726134 0.615310330404373 0.47869784445249 1.99835461309435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0185907301261037 0.0287079096810813 0.00438477196093195 0.0149908548292363 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.612004999794284 0.615324781819551 0.476542209119532 1.9963033806537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0191086081818831 0.0296139100201593 0.00434331277229352 0.0153730848498854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.612290381090392 0.615816438114087 0.479496979883623 2.00172459254205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.018490767726836 0.0288233609744807 0.00448594312899491 0.0154475430845188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.6139302012446 0.617502372933248 0.48103827449286 2.01159331563101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0182242135243144 0.0289423833805827 0.00428197865392408 0.0154902844352378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.61475460039476 0.618420052098205 0.480738302160447 2.01592487257455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0186856527302412 0.0291743848841391 0.00438923881316543 0.0154913698686302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.61555236790174 0.619373795866021 0.472291966186712 2.01273477751841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0217403783647727 0.0318682409370422 0.00451805202628118 0.015769697192377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.621923460253391 0.625501334232723 0.458659816309248 2.03218552347525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0260014849387043 0.0359152486868626 0.00447230930703917 0.0162335556624968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10662227672884 1.1156498228581 1.24010689309082 6.23926516402664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0183849756858902 0.0350997014472735 0.00179333029008367 0.0132478395062593 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10643399170125 1.11545196543058 1.24037661649611 6.23775334015109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0183120376757285 0.0350639430966491 0.00177556594656564 0.0132789622269996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10620683967954 1.11521599777672 1.24043780244729 6.23572626603144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0183898755953153 0.0351721261342812 0.00180444385152648 0.0133630567100365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10557188195328 1.11455633014266 1.23979265426461 6.22933914535331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0184484351171516 0.0351909953692072 0.00182128071852954 0.0132995201810478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10530898770583 1.11422960971608 1.2383655100267 6.22586566956351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0184422803648737 0.0360693610946854 0.00181699642645622 0.0143762826053752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1043193530197 1.11323664869106 1.23415031575263 6.21428404961755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0187651500678342 0.0365370780518156 0.00183819981375379 0.0147313734055591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10762376127677 1.11666950126918 1.24033743529973 6.24855063728235 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0184896521864366 0.0351347863340249 0.00183405876222834 0.0133402311507597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10761925328208 1.11668810263922 1.23974259825151 6.2483866564377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.018652201131023 0.0349117913997564 0.00188520175939217 0.013025669584428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10722237435075 1.11634877999679 1.2383779780032 6.24493916316529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0189217075959053 0.0351624525595977 0.00195619914267173 0.0132584397140201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10326950554464 1.11328088816899 1.22116751009767 6.20587103324332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213188694899934 0.0376057654324074 0.00209283313061637 0.0142581531273731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10064306753215 1.11237106374477 1.18241797767219 6.16799036870496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0257726624420951 0.0416266678895751 0.0023491689091606 0.0148933366282673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0171353649971202 0.000971209037356263 0.000760916151449455 8.69530364058166E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0239126546601643 0.0201546628509388 0.00599177587548218 0.00619773525133007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0171361649197002 0.000983368900848013 0.000760887098116204 8.65272575317376E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0239815253444276 0.0202580925513726 0.00604912020531513 0.00623351426713318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0171419893866572 0.00104173253671249 0.000761116562736639 8.98214428035001E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0238969579555419 0.0200666988055514 0.00596526397646482 0.00609475773754073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.017168870932125 0.00123143616134175 0.000762339491799325 1.05785872342385E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240461403430004 0.0204560146853524 0.00608948151561546 0.00617433358984307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0174888508745938 0.00239361808494334 0.000772721140052098 2.88490968139012E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242549567765318 0.0213032588504698 0.00622844074192375 0.00614400168659499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.018297015696459 0.0037576191828778 0.000804654573912714 6.67287264680366E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242469151848187 0.0225236608916365 0.00592322482806477 0.00627551257538016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.017155612768416 0.00117517373583715 0.000760589576071097 1.05947224482398E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0239939936005372 0.0202715498138219 0.00603471577229431 0.00615087960438399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0172059984493827 0.0016038315666438 0.000758862999724867 1.58737318250083E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.024095057570296 0.0206919565847367 0.00615704644466644 0.00617182152765149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0175326891528223 0.00264524141782971 0.000771885629495885 3.54126364794746E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240846853151994 0.0215022482868349 0.00602116965865889 0.006196974307408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0226281296907236 0.00741280170322649 0.000979122730628151 0.000249520376417309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253300310429544 0.0243190993789716 0.00522619314357526 0.00629478293953146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0347721015767453 0.0124638406830705 0.00169359982393838 0.000707461599530927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0300208331972392 0.0272442763631779 0.00547044766862395 0.00670201851392772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0130836144759419 0.00666424007377594 0.000882501573158577 0.000284917475754318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193192737660261 0.0512497623097492 0.00313441017042743 0.0328381140840622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.01308802526117 0.00667635497880053 0.000882230535322065 0.000289089916632925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193715348617065 0.0512533388196276 0.00316481883902823 0.032842745067279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0131487772445248 0.00674007874803642 0.00089494499798529 0.000300473646636147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193766972168299 0.0512135641316812 0.00316610215031888 0.0328327165288228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0135623635390289 0.00705980510536621 0.00130386320729722 0.000410452930892394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0195114639027969 0.0512139165790262 0.00323209434313349 0.0328180509901761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0162830290750979 0.00912333715090637 0.00251576827552183 0.000848235693736154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0195228809743551 0.0523925451234533 0.00312133525740762 0.0337163514762715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0204440006751767 0.011985701095207 0.00402945174706976 0.00135695418360517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0204678180351421 0.0549455703294192 0.00329656231007009 0.0356335686108118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0134021259498369 0.00681956994772633 0.000960304384113594 0.000311515142361638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0194309969615256 0.0513020950685963 0.00317554981001418 0.0329445894194594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0141790824894056 0.00729163247465924 0.00123685960717453 0.000406819363243392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0194473632044539 0.0510540627960329 0.00316582366655387 0.0328033435744329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0165651297634508 0.00894722191088659 0.00226437077388447 0.000795710144906382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197439792069351 0.0522012208520784 0.00324971561821012 0.0340050700110352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0367831358796901 0.0204136889289866 0.0133550714728583 0.00358958692622014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0249158713032243 0.0626969765884086 0.00428668402928486 0.0413582260825505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0667904975313547 0.0343377612177733 0.0286615299858849 0.00746037422500707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0328060394453683 0.077660233118583 0.00543380967430581 0.0530095663364075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.850227852237028 0.851697514537947 0.860190562560802 3.76304691191656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0451392012262425 0.0497764141776948 0.0202258134101286 0.0284863482276673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.850233660574176 0.851676382676648 0.860100716045973 3.76277889763392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0452132643278598 0.0497674192194961 0.0202909762838254 0.0284352627213008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.850097426673164 0.851512602879198 0.859794045313452 3.76128906101806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0453248700434461 0.0498187217233388 0.0203866920101475 0.0285396289794039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.850571998337703 0.851928677588235 0.859029778293659 3.7635849217469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454794814610948 0.0499130315958355 0.0205229706580975 0.0286272879678719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.852138843456115 0.85305728819349 0.856295357015043 3.76926977231237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0461812325540837 0.0511557153073541 0.0208330739582643 0.0307229232869142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.849742655920315 0.851431325884201 0.84691442838341 3.75129010975024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0477943396858986 0.0532031984874835 0.021997073749333 0.0340377342924007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.849987238121849 0.851699396520185 0.860122612541608 3.76294243535229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0449089550111884 0.0500374244713007 0.0200346846414065 0.028856400552194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.848397093132626 0.850404891052644 0.859374665649632 3.75345651173971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0451546501792122 0.0508069410655576 0.0202189592545915 0.0300153301287805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.846963827857549 0.849271986899183 0.855827326812544 3.7418907336757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0456232799406576 0.0517785917872091 0.0204400606678748 0.0314898312773883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.840710137256352 0.843048751475556 0.82559201608024 3.67216853276404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.051240872067579 0.0581145701196841 0.0234174995813686 0.0377389792185156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.832924700727064 0.835491163242001 0.773269726491071 3.57197736113365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0627404491825559 0.0724291204597336 0.0289661005749051 0.0554783267556063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0396261757251079 0.0117241384569671 0.00419847011749691 0.00236928551574804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0419009844042045 0.037403585309373 0.00501158379253573 0.0195755699017342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0396603918321033 0.0117426813754253 0.00419859146818978 0.00235532540954499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0419045624506596 0.0374375198270088 0.00501104718203987 0.0195740003610325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0398084341139191 0.0118637104283591 0.00422858712632762 0.00236713039141219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0419110993789442 0.0373263261622641 0.0050115964822388 0.019511065198062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0403137817871897 0.0123495614789287 0.00442504922482307 0.00245898286696458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0421760655807265 0.0374947330450395 0.00526320120550273 0.0195239936790594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0460543818083779 0.0147360888793006 0.0109203035303348 0.00302674871386235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0429997864519588 0.0395948893516517 0.00644056169478885 0.020540448378737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0535343232520827 0.0172657134071929 0.0192803669432221 0.00367166509879561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0441040022042432 0.0413263993656007 0.00734297106143532 0.0213967340290739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0405312039976696 0.0123148804393037 0.00472571920436403 0.0025275240279149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0424737836597681 0.038063534972777 0.00597390233081591 0.0201586683446093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0425018167061921 0.01318907986597 0.00702412124073721 0.00268030151497088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0427508766044106 0.0385046362815503 0.00618935460773067 0.0204250417880499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0477438910988195 0.0153019569544198 0.0128388772848639 0.00311954162278094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0436339781117067 0.0400339848479247 0.00729531877472853 0.0211880215538253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0823296437892063 0.0249447977381362 0.0490077103762883 0.00609159442520137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0531741298868086 0.0493239503432478 0.018531027127495 0.0264833779599076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.12811227511409 0.0336245738000849 0.0910516463706659 0.00883953647712244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0655848019935627 0.0642701676105347 0.0283677616918 0.0364579714447782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950100455322399 0.95573533743385 1.09429421546205 4.76912715568735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.026320753292161 0.0316472714515192 0.00345541454938984 0.00687219557918706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950439949078963 0.956092661364339 1.09460947886617 4.77223924449303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.026270261010229 0.0315561499031157 0.00344273789653183 0.00678404803487568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950233156727731 0.9558004741298 1.09468835971252 4.77008802074055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0262402328973599 0.0316399192026052 0.00343761325766852 0.00685878650250181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950076123798947 0.955443078725378 1.09365164807117 4.76648450310085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0263166986657325 0.0316660053054604 0.00347385489320387 0.00689692459814847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950153375105028 0.954716842693488 1.08728501318525 4.75623148986602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.026862275397546 0.0322882460093768 0.00380949711913537 0.00790410605231802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.948384485116819 0.952401549357614 1.07783767443111 4.73199630261594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.027736314725817 0.0333696843787181 0.00434808688021417 0.00916769338354805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.95001433013897 0.955379387643576 1.0932538050775 4.76604244881653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0263882538888992 0.0316738821079628 0.00347320107012957 0.00691620104368872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.949811667255769 0.954457428658923 1.09166529127641 4.757803056973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0265157163017826 0.0321240582665864 0.00351307209720472 0.00803328143434431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.949344709557912 0.953753629219745 1.08625752057294 4.74939047180645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267186651550936 0.0324665729735431 0.00349710454122711 0.00829272728627256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.947483134256147 0.950487557051496 1.03807317580838 4.69284148396759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0334472899177086 0.0389576157281107 0.00764614857963548 0.016735930452232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.9426623185188 0.944849905525548 0.973608936638638 4.59783307590973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0462140597521588 0.0540773088442944 0.0150146558052002 0.0359473141238505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.496540855667168 0.49304077651695 0.377455478754416 1.35748880205711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380152061498427 0.0298222169556099 0.0116383188027186 0.0103516613633187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.496727157731672 0.493272752972984 0.37745392524736 1.35823050611158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380606128103191 0.0296047347305086 0.011639308688332 0.0101511943186034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.496972373199464 0.49353100844417 0.377935824968209 1.35964251549561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380572809790388 0.0296404594079983 0.0116365450511579 0.0101827572618031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.497129097501996 0.493639034396584 0.378151333955697 1.35999462361645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0385026372513025 0.0298031846978447 0.0124628789713064 0.0102848599141738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.498274311988021 0.494420316918874 0.37550466093276 1.35967077593642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0389817455489274 0.0307469699029337 0.012961667326227 0.0110065695490035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.501521148084352 0.49637961189791 0.374015281825217 1.36338961370739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0410251866506179 0.03153790062181 0.015319215919344 0.0113021306363389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.497925051535628 0.493803571032453 0.378368324803267 1.36101200852439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380188259851587 0.0296104741656098 0.0115460783501791 0.0101622643295955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.498399944513094 0.493629172130847 0.377973006088263 1.35954349925986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0387447241466859 0.0296641775705805 0.0127251739361036 0.0102124026001565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.500752128090786 0.494441761300473 0.378407285365357 1.35964836451474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0394588794872157 0.029865163193455 0.0132463252654753 0.010282713433167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.514039218264021 0.502113198273325 0.367168504348756 1.37203076312079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0463921312068982 0.0377962891128962 0.0201924419752897 0.0165262218090207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.530721698387934 0.510700475775683 0.35240929656384 1.38224719639222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.061272955343117 0.0498387598901609 0.0324270872468967 0.0264554571130721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.460093367952282 0.465077039478472 0.471984264663716 1.35554537339798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0236582641609115 0.0370675382153675 0.00374853741446993 0.0224041743876513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.460616226484888 0.465547247214909 0.472049056466599 1.35742117752463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0236027285889466 0.0369112660904182 0.00371819574548098 0.0220352742545841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.460711205927673 0.465577726050753 0.471850729467723 1.35721369116759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0236055081847083 0.0369157686969041 0.00372104388070666 0.0220856731322014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.462162450405442 0.466770321090895 0.472744982537222 1.36281114445572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0235701373057609 0.0370740831023329 0.00370381739619552 0.0222902728976497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.464966905760681 0.467934271745762 0.473009502433615 1.36546785831019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0241285081352054 0.0379324247887573 0.00410234918974537 0.0233398331096387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468022837553718 0.469068837388345 0.47247208070871 1.36849761354151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0262507612444882 0.0386977774845979 0.00570237145715539 0.0238746630886541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459705336433491 0.464377617947397 0.470699360364175 1.35156026722914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0238024569676492 0.0369688112964817 0.00383587056709031 0.0219357207063804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.460191974134058 0.464235139832446 0.469476642410726 1.34976040703044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0237128321342507 0.0371188958796835 0.00375444001350252 0.022115797946516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.46161159679941 0.464537977229494 0.467992306662073 1.34904197405793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0245833336381595 0.0375756643813264 0.00446670565922683 0.0226534364409785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468652952417983 0.463830698769962 0.450433626435553 1.32387057952705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0321544266910152 0.0432131394121181 0.00904770983871039 0.0280594627399013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.47741646779514 0.463179012722698 0.421903460352962 1.29113606800262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0446267094619378 0.0499123892199388 0.0143802125897082 0.0317687759211649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.926119757782051 0.925469351741268 0.495638712789006 3.92414537914477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0352990323588125 0.0280212920068776 0.0161559592152092 0.0119712252591893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.926393878166982 0.925679173386078 0.495479471760032 3.92535660111011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0353113490101604 0.027993601058268 0.0161608436085642 0.0119586375737442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.925360060048238 0.924563978938706 0.495738272188943 3.91710669329563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0353318387975227 0.0279946290240385 0.0161643665495904 0.0119611256039098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.925359913484935 0.924475866914856 0.495710335671077 3.91644533351976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.035109111260588 0.0280301075124106 0.0159889411792235 0.0119383283862635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.924685416787153 0.923447763210553 0.494718802337566 3.90629461506033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0362342678932888 0.0286755166765124 0.0166875644456878 0.0126106564448423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.923514325420063 0.921901730466908 0.492860751985372 3.89118151751822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0373430859284535 0.030401365336786 0.0170988023514151 0.0143619986381649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.925242744820618 0.924624459144874 0.494591519021539 3.91595075709787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.035532224143125 0.0286302871918119 0.0163304150372511 0.0127833254155756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.92398260629488 0.923376015545159 0.494030728270805 3.90531770619732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0356179292478794 0.0289715468590299 0.0163253473264444 0.0132646849122456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.922484007690851 0.921534579334438 0.492414718437013 3.88883955462628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0357661586651261 0.0296934178919445 0.0162778243922638 0.013865899526553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.915529208120383 0.915463339748224 0.480703103328379 3.82551784651933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0412298859156869 0.0341374072872738 0.0176844504121486 0.0163291043393203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.901332658620761 0.904280388775871 0.459170504325448 3.71845184320364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0502464532574873 0.0460629344309837 0.0206695657267839 0.0260307734373512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561498630376437 0.561764358845861 0.444426374426614 1.70956174282712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0281283520467283 0.030476042763192 0.00688061880009353 0.0128694292769793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561785143008252 0.562036839186078 0.44468481710931 1.71098788888435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0280861922583724 0.0303665178824641 0.00684109488251363 0.0127138641241044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561888845140352 0.562106682800253 0.444234012944328 1.71081156030412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0280698664684872 0.0303940307274302 0.00683905831879701 0.0127098045688614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.562638931178022 0.56276285332914 0.444211138069974 1.71373765857736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0283820841939195 0.0303470696656453 0.00707571353213778 0.0126764485328236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.564384022097099 0.563814978092901 0.44122495199401 1.71486865881518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292637137821897 0.0313500948620702 0.00795507924667725 0.0135453970414024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.567345868401926 0.565233638915524 0.438424466448275 1.71638492688486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0301145164397667 0.0343193005815171 0.00851554645654808 0.0163113598315511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561794009073861 0.561870410366339 0.444006674198569 1.70917911173264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.028741410471264 0.0305587015922824 0.00758599454027327 0.0128406713470219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561564950398744 0.561442659028978 0.443042316892136 1.70595914020055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0287892739381678 0.0307949593685632 0.00762106112050489 0.0130810779188543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.563925716628758 0.563427973612152 0.44192733395751 1.71318635652322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0288245449468195 0.0315815284899206 0.00754124616114879 0.0136721471235933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.572304391874729 0.568672426391955 0.423278509201155 1.71447578873498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0368464501988658 0.0386787350524921 0.0136507483637328 0.0190469699450514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.582213957863155 0.575019774285345 0.396223729226987 1.7152401432018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0488013329256611 0.0496756600213037 0.0201360082775388 0.0277030761400864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982530902045839 0.988773388428098 1.15424027075665 5.08693430256495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264226715900684 0.0361260850132229 0.00297885708769188 0.00970449731077901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982394718796158 0.988579670907291 1.15404416292081 5.08533811658662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264680042338661 0.0361443486329201 0.00301563712056045 0.00971653506456222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982630077109704 0.988763003578116 1.15351243348112 5.0865521806325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264685048881149 0.0362487402496592 0.00301838650503343 0.00982295609843762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982102756216819 0.988193644378917 1.15180928393254 5.08087267930166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264422954374565 0.03634575131674 0.00301637670712016 0.00993693314145767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.979623536653253 0.985134076275319 1.14511388229041 5.05237549197756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0265490529081391 0.0387830876320056 0.002990085004167 0.0139399033729532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.978010928358564 0.983287611631697 1.1333339650845 5.03098783811099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.02781964273748 0.0396933489026704 0.00388893875391065 0.0148060349046781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982481533909546 0.98863280503838 1.15325181682838 5.0853287685281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264514404055068 0.0364319544360509 0.00300868003649196 0.00998985542794246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.98275792033967 0.988722420721172 1.15160472095272 5.08495398507956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264542384559168 0.0363888854601714 0.00298073418016656 0.0099091326041638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.981890659545132 0.987603346832734 1.14608332847232 5.07298551387243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0271094645952333 0.0379116128294014 0.00341524992717237 0.0121265946043489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975030524520148 0.980332141544972 1.09556196857716 4.98015294020643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0343388133848992 0.0449708334101043 0.00776832958360399 0.0209440443606474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.964574632173978 0.970214150560161 1.02599801698607 4.84515220671855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0424740821780613 0.0563653861678242 0.0105402141276964 0.0351329536959752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0209488778560556 0.00497868508526306 0.00112253940454816 0.00032407979184378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0291662193871048 0.024001655199106 0.00720196299533048 0.00671205129530472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0209355507944559 0.0050133757078565 0.00112082160042284 0.000326112425514772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0291599796653337 0.0241503823453233 0.00720560655731614 0.00675770868614348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0209731135701552 0.00508958826758622 0.00112403929984373 0.000333428303124328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292205243644401 0.024138440163304 0.00728423901906787 0.0067624388892079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0212548298727211 0.00532339288694778 0.00117425682716838 0.000363287929619936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0295565364413369 0.0244020968768161 0.00764542339406476 0.00680715788105279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0245697606653369 0.00705438514642097 0.00337930541729045 0.000669714124595664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0304759214083754 0.0254715231157379 0.00832434547413112 0.00699020590229886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0305339481018646 0.00917197369646226 0.00773642598100215 0.00106029435748799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0319967804881501 0.0269770928474528 0.00988120050225583 0.00736768267240638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0213313514200619 0.00515899675408519 0.00120000619167585 0.000337299234618132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0290094789207401 0.0242417724216053 0.00699898150075131 0.00680947936998663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0221828180533824 0.00568694402188011 0.00140215243426379 0.000394993903140483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292916392056134 0.0244276824565096 0.00717497179987892 0.00671401139864743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0252476219990905 0.00714917177429902 0.00246052333766104 0.000619666571077137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0308724228558179 0.0254930296098654 0.00833991654158076 0.00687299785068953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0520148872490811 0.0142448526683074 0.0173417309457401 0.00202776760589745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0393722799113072 0.0328710577478542 0.0145596089220653 0.00919919375829751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0948486284776495 0.021657315404179 0.0451032518612838 0.00372437335910858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0551372230623902 0.0420134375601582 0.0244479638445167 0.0126072694660813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00748564303508152 0.00526026350402058 0.000384571603283335 0.000220737095709759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00912776923658795 0.0619359507959054 0.000945296812935363 0.0588141431164117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00749446016985849 0.00532132062044824 0.000386590391169556 0.000224464316196342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00916813112812226 0.0618051925544897 0.000960955157123651 0.0586423678623149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00763583284362543 0.00590988126766759 0.000394387096691888 0.000240474773769134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00932406957527681 0.0624016750007345 0.000977374040702048 0.05872369669496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00873560966610809 0.00780384677447785 0.000435540307552347 0.000305207432129414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.010455775007182 0.0645842377611545 0.00102478567844965 0.0592780169669271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0158608908343528 0.0172214560426812 0.000875181375450148 0.000968277429604834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0175069256549672 0.0735709395971879 0.00141413937197064 0.0619690525663057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0237639624767073 0.0274270667657067 0.00171983999519265 0.00222188576244804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251364693849518 0.0817128748336769 0.00217322850878558 0.0657382991975543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0082589602735514 0.00699947799092748 0.000415950337387991 0.000274418219198737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00987066433328086 0.0635284876301949 0.000954465663578775 0.0588953646918597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0108232119886528 0.0104614839173936 0.000527947702534575 0.000437130397539327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.012485288895607 0.0668486178167707 0.00107628256325371 0.0594886660039564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0169870275997732 0.0182431264587213 0.000968779967864185 0.00106959871356861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.018549979742557 0.073896273779703 0.00146994947498395 0.0617866442733569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0438045424403052 0.0509142158903006 0.00558294918350234 0.00680819198644391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0442410000905153 0.100543392722125 0.00583920994882913 0.0796771786315432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0718559638421072 0.0832893434011566 0.0160428725061702 0.0160033253957826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0720187540038125 0.129484009875104 0.0177957830561415 0.108992178322761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386016925490292 0.38566371708893 0.157691156472293 0.75220428194656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00742698496257735 0.00757867555380908 0.000624652180680787 0.000850970776302506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386110637391403 0.385733386368865 0.157637081240993 0.75238610735834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00741437481735025 0.00755302793490371 0.000622886097448479 0.000849296502657185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386257759378894 0.385866740955671 0.157524895864225 0.752563556783041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00750142321859432 0.00759907507295591 0.00062810013606794 0.000848714604558716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.38606851245442 0.385635510049689 0.157558951153945 0.751130846848861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00808018832338092 0.00815141933373287 0.000645494887469297 0.000855585745037911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387108758753682 0.38560052338235 0.15851647176665 0.747146506600858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0120170310308502 0.0122829344031074 0.00082555025819732 0.00116922580288325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.38994865658242 0.386086881818574 0.159601943266549 0.744046971190055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0167787656364579 0.0176082587065392 0.00128149063077405 0.00196554997538824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.386789659992533 0.386324502789002 0.158031238593905 0.754011129407426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00784597051216204 0.00799002057236878 0.000640338716657997 0.000888322440310433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387801506727194 0.387079835200625 0.158250305044206 0.754909610127561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00923321633106428 0.00936691959329653 0.000682101808992873 0.000908268832087081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.389273703564464 0.387447241584843 0.158640104282479 0.75192005006187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0127974910876195 0.0133211624627209 0.000879738643211114 0.00130623651802313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.402714465284493 0.390661922324233 0.164037878378122 0.746631261857105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0301315001538852 0.0325011037965431 0.00429801278571884 0.00628341231017407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.417258258509857 0.390326779533445 0.174423416827629 0.730230239387175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.051083446024807 0.0535343426604859 0.0143657261763362 0.0163973648230649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00427378957015042 0.000504881017369717 0.000197544795156519 1.89635635664865E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00445531832565659 0.0193566842369555 0.000265139113523226 0.00602610693266789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00433761303906786 0.00121980876985607 0.000200983750066438 5.2358459845436E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00449866788889746 0.0199518173471817 0.000233998608027717 0.00599916411382143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00477668787417525 0.00222176067748993 0.000211590665366569 1.53649158482793E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00493826912233467 0.0207984994533181 0.000243693094752891 0.00602974443340786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.006280834146595 0.0043258243471983 0.000252705254743929 5.6175591578084E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00641850901756292 0.0224915170193902 0.000280347387113217 0.00617452105667611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.013871959356932 0.012855347351456 0.00067120569432394 0.000486140457157052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0136693541283729 0.0298679580431253 0.000633753580152214 0.00781308585533163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0221397667119618 0.021303200714371 0.00158449558683829 0.00130350063113372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0214894144193217 0.0382154695424063 0.0014204375785937 0.0107456276461178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00572253950483262 0.00357037216048596 0.000235018044589922 3.88508258620909E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00586325873513457 0.0220387594731674 0.000261804906150579 0.00618914026611933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00866546441417285 0.00707209715820871 0.000342914330138847 0.000151184933593008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00870591453042158 0.0249548833315842 0.000353273450309038 0.00664323952015528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0151821275627625 0.0140778488328109 0.000781914424574516 0.000590325367085546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0148816377164561 0.0314054760425496 0.000712592532356699 0.00834124384900156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0444025074751424 0.0411495225351258 0.00666784635837498 0.00471619048503295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0421945599579405 0.060796167582822 0.0059227649101208 0.0224869579845965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0775324026312168 0.0654378649828296 0.020701836951239 0.0115110787892462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0710820935445393 0.0900567777821394 0.0190801662989736 0.043575761813302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.36511723346742 2.36415322285133 1.46384448682765 23.7824879011252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0271363674257313 0.0213930580174562 0.0216902476110784 0.014688654725244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.36431510975936 2.36334736682021 1.46503982563566 23.7683837041289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0271894061744893 0.0212524080481093 0.0217325320255811 0.0144030563168836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.36295175404717 2.36196252618877 1.46732690415688 23.7443790495555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0270376354571959 0.0212798544468031 0.0214770916621793 0.014349045136035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.36152580090405 2.36044550893647 1.46975312449523 23.7169110968507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0279002642366204 0.0220143053597577 0.0218713131667973 0.0142531377218352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.35764131351023 2.35577787404042 1.47913537653016 23.6264675493065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0347495419690047 0.0290100066529568 0.0223791503249118 0.0133242797173061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.34814759069635 2.34497873704373 1.49640554763991 23.4253697071751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0426283240645219 0.038178586402233 0.0232424031453683 0.0147230475551505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.36270107077964 2.36171148147475 1.46833032512204 23.7403880032591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273771647568276 0.0220152979952862 0.0215158501094362 0.0150616758214012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.36263607181575 2.36144712361505 1.46933663594242 23.733242398498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0297138849134923 0.0243684135330103 0.0216682566844204 0.0149206860650605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.35627972066174 2.3544370506768 1.48039949700921 23.6022236129584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0357183497399094 0.0306985190438694 0.0217723981309825 0.0145397004817445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.3172988488253 2.31116282270135 1.54405313656541 22.8038823138258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0630882167827083 0.0596283883701298 0.0268499090566859 0.0193835040791575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.24047119694491 2.22683155815188 1.65155166308787 21.2932122848313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0910296864320824 0.0891846727052505 0.0365170351411267 0.0305227409814687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.562662075841952 0.561774025088356 0.306250961348959 1.56512867344824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.010469517110671 0.011997213894529 0.00159600539267829 0.00356800885226961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.562228171493368 0.561346609052334 0.306349060182838 1.563383041157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0104595708594062 0.0120991513637401 0.00159586381586973 0.0036462134832334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561925196990982 0.561078292141054 0.306542539147072 1.56220964143477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0105307350153438 0.0124652716439628 0.00162367004174352 0.00390419356300572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.562177157627774 0.561459851427736 0.306996434823694 1.56340072389256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0110698649331091 0.0133139575306259 0.00161946254696963 0.00395188085345384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.563803019753003 0.562935534032258 0.308604940285746 1.564624716645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0157303866225672 0.0187954766734622 0.00183574882643537 0.00421945714800903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.564113351488057 0.562346541455646 0.309744611469886 1.55423831760632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213547744760858 0.0251383211231294 0.00235157090367557 0.00490663649874492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.564669517081417 0.56383686256594 0.306577807678326 1.5741691545816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0108116866957527 0.0125695033800083 0.0016160803939013 0.00361967409189492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.566035746695568 0.565303746787295 0.307179676265237 1.57892292359146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0123278512762319 0.014524873666025 0.00167856195828355 0.00383855062758684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.565981771863389 0.565079375536635 0.308175017884482 1.57272915505313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0163969307321432 0.0190636864483529 0.00189981691504994 0.00405195995029551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.569187210943336 0.562444113161653 0.315040602067981 1.53703146262162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0364132767928602 0.0406731502488773 0.00581083776289679 0.00863156889649947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.575132698328107 0.558327844546254 0.327042099612753 1.49443248599842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0590171592020062 0.0652395964888298 0.0168410711312355 0.0210620966067241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.029071181256 1.03030553217363 0.599350398923115 4.83874403959509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00847641956968423 0.0178524099359488 0.00100178934229074 0.00766237536431674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02843970549362 1.02965530713218 0.599194379875267 4.83320880476789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00846486039065132 0.0178711474427693 0.000997547180425248 0.00766045423390107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02760355084684 1.02884578377768 0.600042797499412 4.82681475271242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00866975793721103 0.0180940743850949 0.00100339211759722 0.00757867328138057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02711995939167 1.02835735566698 0.600451187174622 4.8208192753241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0100592946711335 0.0193407926310038 0.00106758658061322 0.00738422419015883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02999590364335 1.03041750273743 0.601037103500975 4.82553056332744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0180960019184822 0.026981990874032 0.0016289411021598 0.00764402685353318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03188200726712 1.03064114474081 0.604946253369534 4.81604984172894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0266607241522945 0.0352626423758609 0.00260050477723355 0.00835912337476135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0300511744231 1.03139879954624 0.601124829195601 4.84748389848401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00942536393963136 0.0185859609073677 0.00105915225651015 0.00733171946791681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03164853236063 1.03291043867716 0.601057305049579 4.85528380070809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0121883654358548 0.021418947377819 0.00119649181495944 0.00749880979435032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02973231880262 1.03021017337571 0.602825525092256 4.82344544610645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0187885717110152 0.0274287413066685 0.00175512240810924 0.00765509970446821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02960286495363 1.02158491588816 0.623487866270868 4.71986834135229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0465222228087129 0.0558845357015587 0.00681857447119022 0.0129429472134353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02488713446302 1.00163142761983 0.656955050671417 4.52678851766372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.075768922771638 0.0877467225539605 0.019323142933374 0.0281338873118772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79005918105424 1.78989002724244 0.198679050393217 13.0102319779953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.018657317023997 0.0131644207586923 0.00984909226720037 0.003770424877601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79037949372603 1.79021246061895 0.197970294701385 13.0141410165208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0186208315165184 0.0133424678333305 0.00980999244597736 0.00402774418311969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79069973125268 1.79051593664876 0.197384967325962 13.0178730118718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0189070382401052 0.0135028907154985 0.00978450000580924 0.00417505177380599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79108080083223 1.79083190570929 0.196605327701353 13.02133433381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0205234326099948 0.0146585093196597 0.00990693751071765 0.00452316524103333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.78535997062582 1.78441073792782 0.208848658341766 12.9386706681818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292466351278633 0.0223212827419424 0.0106496050972632 0.00526205525651353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.77757666309125 1.7754424061825 0.225521131030264 12.8224974889486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0382604931476922 0.0307635450074609 0.012048326671539 0.00588294674268785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.78851439733497 1.78824236470486 0.20192630553356 12.9896985817771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0199551324954858 0.0139508459116859 0.00982122920974094 0.00425109481863872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.78636502751795 1.78584705398816 0.206393290237663 12.9591043335775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0236418462732663 0.0165032985954468 0.0101836382676772 0.00465777774024903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.78192155276814 1.78066328929856 0.216578367970746 12.892537360353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0309781989650608 0.0229848122111833 0.010763360267763 0.00517453143644055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.74987611864591 1.74225349134199 0.287358331565674 12.3988119157121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0617220026863016 0.0510295100687212 0.016700489527926 0.010162387314637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.69001035724029 1.66821556078371 0.417083449102925 11.4658522989155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0940421127827923 0.0810429148076921 0.0312500534194633 0.0243774235911044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185112310820525 0.185016271524807 0.385978178628434 0.502039459266846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0146750100697988 0.0257645399310678 0.00620894268381752 0.0189730912238924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185341047538235 0.185238741210866 0.386521056932104 0.502856215364417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0145974019797614 0.0257545898853672 0.00610631193254959 0.0189359607645496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186938136886417 0.186743824719106 0.389671215147535 0.508039925908595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0148025869035834 0.0258204536721786 0.00624439195367983 0.0189396088066127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.192038368468184 0.191400288330325 0.39788695802624 0.521862680631011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160346900813271 0.0269136024921599 0.00630311588181831 0.0191501736035643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.219218048527762 0.21632981050293 0.438358009380666 0.59084950605803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.026059350386004 0.0349958205859929 0.00769894659831424 0.0206574684530337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267375468072433 0.260937718364514 0.522985638297375 0.738667496929956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0358876348988181 0.0437219286736296 0.00842355577619494 0.022860524382423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185574400952835 0.184898465225826 0.385516147386022 0.500555207383768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0155619352116803 0.0264205017723815 0.00631122929823533 0.0192461149064654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.194005079681014 0.192351326925955 0.397072848466925 0.519959665618225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0194465516615499 0.0290397705055708 0.00712355600202073 0.0196537814992227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.219903073896271 0.215841315797697 0.437912275682911 0.587900979086244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.027908445492729 0.0360819312287659 0.00792877366722818 0.0214816342751082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.42337949488043 0.400677603994859 0.808698166818726 1.30586030698149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0601143903328235 0.0628993911294185 0.0123179560186868 0.0263374247517346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.661033917597151 0.611181796071504 1.19310623193773 2.37982456028361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0947214571439487 0.091058746385333 0.0284161432975872 0.0357682520332255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.66128163737425 2.6601511654699 1.43484101503886 29.7039567395283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253073208286349 0.0343751061082761 0.017043039138731 0.0395892797149592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.6619878153051 2.66082871120765 1.43267071468335 29.7163492425309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0251928309126626 0.034478752787027 0.0168796532038256 0.0397519179735383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.66052503658606 2.65930994890941 1.43600306059103 29.6874486310729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0252319699377453 0.0343957777945296 0.0169104474413625 0.0396100434886566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.66176984630604 2.6604140283614 1.43307552583033 29.7074587318817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0255925170067111 0.0348468704053712 0.0166427650870961 0.039419914918396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.6568303999221 2.65463532367838 1.44450469472593 29.5862366592572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0312132098375609 0.041759106934638 0.0154287270317062 0.0397413445386437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64659229910427 2.64327877768895 1.46979573228258 29.3580320573118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0386608618225042 0.0496914386969728 0.015283161131498 0.039750729031905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.66261202992705 2.6612899229911 1.42992540084143 29.7234744262731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253548488967104 0.0348318036196677 0.0167443100517284 0.0399569111190414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.66406310357404 2.66246898137768 1.42575948777311 29.7412876459478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0268222877627826 0.0369169088669507 0.0158553744702927 0.0400618598208523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.65846849933615 2.65599916515068 1.44214978767661 29.6100351765046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0323862606596075 0.0432882202272246 0.0151601100219338 0.0404708138281299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.61935357232057 2.61159795417858 1.52989345228619 28.7090880832816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0590266771515039 0.069135889144082 0.0176154874277762 0.0394501208724727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.54818699604021 2.53313354396636 1.66178633263907 27.1419389573224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0871182868242155 0.0967476092680174 0.0256543938761022 0.0458754899743803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0126598891494334 0.000341573449688719 0.00169005215182222 5.98685242843083E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0175529019884241 0.00728929909769366 0.0075525631327479 0.00314657484340161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.012634521004461 0.00109330409117582 0.00168490734174774 3.08781232605202E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0175070531960177 0.00806039187325979 0.00751024461736683 0.00316664823275276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0126856586797799 0.00208073025163262 0.00168693753123589 1.0868240087035E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0175684894183061 0.00904600109153724 0.00751064058404975 0.00318980800715631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.013564160891481 0.00409743061992753 0.00172374338047885 4.25453551299647E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0190311813188531 0.0111216882345542 0.0082668007829883 0.00330543960630601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0205671404691811 0.0122209997084827 0.00221902809748674 0.000384864446503747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0284868575408833 0.0212331471979965 0.0115452948129462 0.00537438133749763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0286085151845531 0.0203497222403673 0.00320471598361621 0.00107293278933529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0383954303247602 0.031229265541026 0.0146412799202212 0.00856617208369423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0132815124660999 0.00345241860637276 0.00175623901376582 3.05146790819457E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0185813454645756 0.0105680589814379 0.00811653367721295 0.00332778036387726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0158285579350713 0.00684892171369517 0.00192868705109411 0.000121162315470588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.02214168498406 0.0145735418493851 0.00943425267376735 0.00389561941694928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0222444930400534 0.0136587619733167 0.00253424850212024 0.000485463554346297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0301355782414965 0.0229453201036356 0.0118389618244836 0.00582643043594654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0512670742718813 0.0408442710670831 0.00830245525405801 0.00439984939841316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0618815040660125 0.0572921566211289 0.0211126069684141 0.021214746683371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0833787905399525 0.0677534239896975 0.0197618416406884 0.0122776656408232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0900652652272746 0.0897364366204577 0.0307904962695732 0.0447731865340061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00604291652404781 0.00458471512898236 0.000271362053134206 0.000175143101990122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00717391752620114 0.0544230453646625 0.000653752223196881 0.0522777946216144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0061057862965526 0.00476082771831512 0.00027694068944117 0.000180886339773984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00722467634231168 0.0545258169001465 0.000653943522012163 0.0522005002159208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00669200661499133 0.00567982982156981 0.000296169412157263 0.000201468414820368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00781472149541501 0.0553957181342515 0.000674606432465596 0.0522059136430511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00883232814592773 0.00814451122176454 0.000373471800683983 0.000278776063639711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00995968727668372 0.057767307611921 0.000753052141277084 0.0523673226028082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0192560075332142 0.019176241315116 0.00113035961898814 0.00102736890887163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0203389450463432 0.0681441132445259 0.00147750410802328 0.0547322481298437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0301661593949534 0.0307333035547178 0.00261372488321293 0.00243407317046681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310322286483825 0.078549293979726 0.00288202008325384 0.0596587587107593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0077970440187271 0.0070458685304143 0.000328276969042963 0.000242094254817536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00893926791015975 0.0570203105891523 0.000708475148071064 0.0526284719956087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.011635757262492 0.0112056212990853 0.000508138138332059 0.000430347155319794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0127674510355118 0.060903381484068 0.00087538845330322 0.0530519401150145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0199922043770877 0.0201316397626248 0.00121146710548237 0.00114481980190871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0210445388548631 0.0686473179109396 0.00153536099827161 0.0549312023204087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0549819269599779 0.0571681199771798 0.00879492723392722 0.00771505845222552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0556468317794562 0.101566273216144 0.00965013889074702 0.077320059802835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0900437698002963 0.0939430568978842 0.0249435084813153 0.0183527375044434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0919397002667556 0.136668924183016 0.0306176670816547 0.110456510109657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.369183590577067 0.369233560249429 0.145797789617226 0.690073341259198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00548544904558417 0.00620924016541495 0.000412052529742516 0.000684006617374647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.368920330166981 0.368954192054461 0.145794352036073 0.689189146192343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00555329381801947 0.00622179275250601 0.000417908621633423 0.000683186368038528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.369081549194584 0.369108975094853 0.14580914713711 0.689302856957567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00596060001176136 0.00653104590857316 0.000426832362200575 0.00067297842607535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.369767807037849 0.369680783472789 0.146023259043728 0.689975001505784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00730266176594094 0.00787642415951085 0.000458069733169755 0.000727615972485701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.374152283159955 0.372603289733398 0.147398218024852 0.69360020774674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0139141236415781 0.014656443256504 0.000805738480336233 0.00122861952396816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.37919300824716 0.374672044043951 0.14971501432007 0.694258942991155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213308919035033 0.022442416556619 0.00166875353351661 0.00262452293285724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.371454746808109 0.371363476645136 0.14615393316828 0.695613017793994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0068096470543349 0.00743346567593119 0.000436182173110417 0.00071904917401807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.373719328749547 0.373191464511452 0.146572213899377 0.699044044309671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00942508270897332 0.0100177493772218 0.000519144075922726 0.00084846253346869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.37630761361225 0.374195364228387 0.147600814793124 0.697435398890999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0152817000041199 0.0159556373968226 0.000928339208520508 0.00143328486715307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.393315754775788 0.377092389134016 0.158108527871333 0.687993348703017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0430623193755307 0.0442602576041147 0.00867287241893225 0.0100795460919987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.416365531212889 0.378430900650568 0.178037728988365 0.67656989461773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0743025775286675 0.0733755316583589 0.0293998365292042 0.0253983244579382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00440697059486198 0.000528119507836209 0.000192208996659365 1.87665167485559E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00458997073128005 0.0196567288681034 0.000255720766955822 0.00601476970173457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00443654034966145 0.00137434837796961 0.000193778322393001 6.57926285652477E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00461819555774828 0.0203881514840798 0.000256344347093719 0.00600658745995576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00480520469609104 0.00254441692709989 0.000202052697667431 2.02936660857741E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00498516083594629 0.0212780918861248 0.000263142147687015 0.0060069187880804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00622552500098352 0.00497318240918865 0.000238060116326024 7.49757572096362E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00639321809214449 0.0231895048982661 0.000294535313728951 0.00616551504715389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0135161742928861 0.0147917488330863 0.00063091882140901 0.00064954352194903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0134605009618746 0.0318040225337642 0.000647945908403301 0.00816158859632239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0215872252766825 0.0245497916469728 0.00154164885580146 0.00176495967939868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0211164336903091 0.0416564039220837 0.00140089216607689 0.0117600319610223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00567452497217183 0.00417109106659711 0.000222476988543752 5.3109416374793E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00584352855556976 0.0227645339969803 0.000283964681002659 0.00617407920131374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.008469630797804 0.00827637058610043 0.000317622647578567 0.000206046178647105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00857838718369513 0.0261025126592986 0.000372151107585661 0.00666224402746802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0147028361471739 0.0164966645353073 0.000726870200428541 0.000808289913912517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0146137257274852 0.0336526771399408 0.000748441301266616 0.0086338992756458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0427459138486639 0.0481579440138819 0.00645658301533205 0.00649845872045576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0419159796486964 0.0674885636639991 0.00659120400375444 0.0248979951240688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0746703079784377 0.0767431864765663 0.0204475589094439 0.0159476130771922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0705524511968547 0.100855978120985 0.0214623968659204 0.0501496688194073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38940773297942 2.38630816590977 1.46229818887035 24.2054878093368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0275291016119921 0.017631192050622 0.0223012585441298 0.0105817405552289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38990829508615 2.38681652632914 1.46133432430759 24.2141980362725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0274193363380567 0.0177027057444493 0.0221000278051079 0.0107256382063626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38950366708387 2.38637132912883 1.46183897324472 24.2059518317862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0275785451919616 0.018017989286899 0.0221048560975318 0.0110866651159564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.39507084471704 2.39171451024522 1.45140807851719 24.2958211397913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0291785720743231 0.0192301542075082 0.0224103859541674 0.0110379058348411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.39377931204209 2.38917650434204 1.45668998342134 24.2365827429036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0387723464534737 0.0287735925137658 0.0234122040490676 0.0118707091278344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38653321922487 2.38016261557131 1.47571426805208 24.0640353195355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.049025806874212 0.0390449219168748 0.024911625087133 0.01272493120678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.3903007477125 2.38705760917034 1.4617670270767 24.2179555971488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0286072052153806 0.0184169465161676 0.0225541344642503 0.0106774624682736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.3880604230191 2.38444710479817 1.46827400140828 24.1693285762878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0320892514854527 0.0218440643525829 0.022906884529248 0.0111084834965019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38649267307941 2.38177167891823 1.47498605142274 24.1114099237233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0400023863676325 0.0301538762327661 0.0235366643683095 0.0116962616399025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.35509437914692 2.34109147123976 1.54446795208825 23.3386304908282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0740863570850389 0.0653512542220577 0.0322713853834452 0.018351794880792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.2682465427466 2.23677001014279 1.71023790945524 21.469357940417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108304336905931 0.101940593668633 0.0474777269156677 0.0360832287981779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.545125237254786 0.545796940595351 0.284385821442797 1.47256126904185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00756666273121327 0.00996936718455192 0.00100129577814941 0.00229958634262219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544687996061052 0.545353430062914 0.284567472687716 1.47076726861274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00758224636136347 0.0101551821513711 0.00100412901177997 0.00240514977845835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544750380011819 0.545434874208699 0.284791744832839 1.47092933835966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00789676582222991 0.0105998612083794 0.00101152986736729 0.00246268926546419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544748593978725 0.545359392048973 0.285007050280163 1.46903302591053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00935382617113432 0.01215679130534 0.00105486740074482 0.00250146283736889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.54840865316828 0.547775091758014 0.287999347009662 1.47262752205639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0170001477848005 0.020565504237817 0.00150096969243448 0.00342498143512039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.552391264621576 0.549536878893414 0.292847807772436 1.47295905498628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253321951040635 0.0292226349959633 0.002478737561704 0.0045567519588108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544340274414011 0.544958998078771 0.284942302125821 1.46802472285001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00889418719553805 0.0114814531513009 0.00103626971758959 0.00253062513121599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544804734375976 0.545070652202654 0.284732780613131 1.4649806730869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0119120208841036 0.0145155472380825 0.0011425165016791 0.00283992272438079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.548554808140937 0.547467014079054 0.287739645736344 1.46991984914376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0186042886293159 0.0211054073775834 0.00158374589206701 0.00335767793842218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561033028386289 0.547683955630159 0.309408524605114 1.44738352336469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0489558327799039 0.0511536661827491 0.00863703090580325 0.0116221800460375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.581227949165805 0.547634572262383 0.345519556620197 1.42734165891245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0818490555059228 0.0841216056509206 0.0272215639002508 0.0311341419122139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00637387167564 1.00834752861703 0.566767473876686 4.62607664860067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00788590942846134 0.0233063270606447 0.000922037426196982 0.0132393329562138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00562947833949 1.00760179241826 0.566730884665277 4.61991699894992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00794606518614394 0.0230705699083684 0.000933176584779243 0.0129332674145015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00621251936077 1.00820525293512 0.566768854049248 4.62404996928432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00839995992896577 0.0232353232607548 0.00095313932874694 0.0127267457467506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00659668448846 1.00857658431433 0.566976763605087 4.62433378571888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0102495174985295 0.0248675016451642 0.00102416191268939 0.012839527882986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00926432549336 1.01002417273997 0.570485713684861 4.62403525813958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0196013625232452 0.0325521028965981 0.00168554501330993 0.0128640989829186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01568278995801 1.01360530907488 0.575575929067183 4.64057740065411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0294959805200163 0.0409324720428743 0.00290616598592264 0.0132358853295803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00555846821156 1.00741497801851 0.567599011089427 4.61708143561611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00955212441798797 0.0242203485581125 0.00100160297982773 0.0129679979612284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00647814487483 1.00794693291415 0.567968361090019 4.61651005389108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0131437868041281 0.0268614812398304 0.00116567362713654 0.0126737668286039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00945378910912 1.00942781202388 0.569804879891691 4.6178868077509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0211460410905499 0.0327824394996508 0.0018525097625467 0.012218421580906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02489850532614 1.01061148606152 0.598586656346232 4.59198052973529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0545527291674267 0.0631594817246206 0.00913762403956545 0.0173404432099316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02810261156448 0.990080223518948 0.652343911446814 4.39803536022353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.091316541727108 0.100385095088111 0.0298873688651509 0.0392978570505489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81635737667178 1.81587458698187 0.157363271247593 13.3451065922517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0181122025681354 0.0118925200198628 0.0092554384354846 0.00442855698252555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81561023258919 1.81510812356277 0.158963976017624 13.3355626295275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0180758044743677 0.0119200849084291 0.00920769459343121 0.00447292771062332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81562004210184 1.81509677656519 0.1590268058949 13.3353553629901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0186649291892569 0.0121857231907993 0.0092748147496159 0.0043609146499273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81556650778493 1.81499642294562 0.159388727613965 13.3338059011586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0209130098915699 0.0140366458035402 0.00947571547912043 0.0043570337850081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80948532130519 1.808338111932 0.173896991117547 13.2485877958804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0315678541446736 0.0245815201926787 0.0105580061787955 0.00480842036896613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79781660387801 1.79548091952386 0.201176277236896 13.0847498223153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0420480836687813 0.03596671768822 0.0124159676770238 0.00607660107743365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81628856361693 1.81565118601631 0.157767925473342 13.3420611612754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0199072444285658 0.0131600373340138 0.00921613328903277 0.00421465698734787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81276186988633 1.81186278623062 0.1656675150447 13.2940601150666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240178668071301 0.0169687005027937 0.00947284401247721 0.0041987483105184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8073475061097 1.80567489848943 0.178446467147355 13.2145862518824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0328836281499445 0.0261974119264638 0.0105044105302891 0.00521553416031578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.75607177544499 1.74563608397505 0.300496166482192 12.4505271746879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.069395850753867 0.0645065363430886 0.0196011531753357 0.0138314812106691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67961601768603 1.6499285003873 0.48421277714738 11.2536986921262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107615308625433 0.104530218320195 0.0405431140141471 0.03486836879146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.175931610422856 0.176792977537423 0.369996918906453 0.47750343981712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.016196629300725 0.0262013113260117 0.00899574783957143 0.0202114552106695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.175965720905355 0.176756468653527 0.369970806188781 0.477265589687234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161532598052578 0.0261653407450137 0.00891872147712506 0.0201715245838782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.176794607761448 0.177535510298863 0.371297885359494 0.479314400458739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0164921868037782 0.0265037097183649 0.00904857547930414 0.0202881005241518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.182781252745043 0.183360518976836 0.380813135650317 0.495041257169601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0183968592277061 0.028266839834813 0.00939029338943941 0.020529614423428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.223830922484713 0.222239667948018 0.449200863247345 0.608610229341048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0277721615668432 0.039033595907478 0.00830347494453354 0.0228895294853132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.290130288512135 0.284233451334951 0.571086764431058 0.824202502421392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0384715143143887 0.0505815720567296 0.0083163983965904 0.0266901617653998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.178266998493545 0.179007019810858 0.372641441102944 0.481787400121074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0171405758553472 0.0275320780973009 0.00881079121795903 0.020467046218126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.192469125197636 0.192721882381912 0.395511148724044 0.519872829607231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0207794991438083 0.0315470151484093 0.00867080785678341 0.0212119934349995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.233838965287715 0.23202556603616 0.467063879293425 0.640990016520577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0289459448363515 0.0409725349666898 0.00802272868198369 0.0238964870748671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.501854850894105 0.477475372220165 0.961657682892908 1.67337754075382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0660083304379742 0.0754870650698323 0.0142602651864556 0.030699886437506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.760986192345065 0.703956761615079 1.36708620948021 2.9424396618077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106268187873853 0.113089112711605 0.0356917799186057 0.0492528533909272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.8726624073649 2.8732982126996 1.0142152269015 34.0052291085657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0194372952286356 0.0385201930668564 0.0117566888919969 0.0491657772970792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87258903897233 2.87322683126033 1.01446046633448 34.0036267616787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193013550355022 0.0385653773565599 0.0116431273432953 0.0492816454659381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87277047204931 2.87337578940069 1.01404280019083 34.0064066765415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193919864972785 0.0385946268609218 0.0116665353794668 0.0493181656256134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87251801984663 2.87293111309041 1.01501499095031 33.9958809728633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0209216707921474 0.0396269059250468 0.0119402325481801 0.049626742374893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.86766065559243 2.86665299783565 1.03386037369999 33.861062076997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0316924152310193 0.0484838283673034 0.013696888338643 0.0510091179710079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.86227798657174 2.85915152564407 1.05459021703967 33.698684607085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.042459145736309 0.0579904979800328 0.0149120946682403 0.051698548663393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87163399838243 2.87209877922601 1.01778988687062 33.9806398183855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0200569676207727 0.0391462524225974 0.011602489818715 0.049490216331311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87173391212439 2.87186897418884 1.01885485502677 33.9734214558568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0237599459016582 0.0420715181941122 0.0120888341124249 0.0498593939251574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.86969148453951 2.86881456217133 1.02766059602158 33.9035520749324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.032324512019284 0.0498250128551911 0.012826514685995 0.0507475917184634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.81046443722951 2.80021992383913 1.2124659937812 32.4699362530999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0675514960408519 0.0786624580036731 0.0188362589695634 0.045211920691858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.69647267138372 2.66995561739956 1.52327198701536 29.8023120746349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103937300561503 0.112791227676381 0.034203790237415 0.0577579795729114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0115551515760395 0.000406114842469484 0.00142074383766121 1.03455589066685E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0180316271123785 0.00859316524314994 0.00883780836848472 0.00363878983288202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.011547915746804 0.00127082162671971 0.00142396246230397 4.44484059777961E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0179255611033465 0.00935936850822919 0.0086921185378003 0.00361400694373869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.011675765479159 0.00238494237944881 0.00143466805710146 1.46752728621621E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0179198641432315 0.0104036435567798 0.00853310149776539 0.00363240436796481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0129463322430947 0.0046609725967093 0.0015065896410706 5.58068694162831E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0186294724352051 0.012516423087807 0.00795029548109899 0.0037560950690419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0213808348783279 0.0138569231763794 0.00217942636075163 0.000497006366486702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0283930367289665 0.0234169909707947 0.0102846443871729 0.00616661836080773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0308091059056617 0.0230669505177051 0.0034580239382914 0.0013809865821436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0397928472947866 0.0355174506302711 0.0138435521202109 0.0105890042376219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0123794839821317 0.00385899826084708 0.00145823346697727 3.80467623671199E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0187598505427239 0.0121534600875095 0.00875464198882339 0.00387341210027448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0154023321332987 0.00765303709450347 0.00161684268720161 0.000150488165413742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0219828382505657 0.016233354465429 0.00924486754655419 0.00444765660385936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0227018201606542 0.0152715822274591 0.00224990732571477 0.000602304259508129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0303801295656928 0.0255914828160853 0.0111455037397569 0.00691528613696924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0555108560511741 0.045673393918488 0.00885815372533753 0.00542135699157019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0647838193241246 0.0641493577324981 0.020511262682747 0.0262809797624262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0911865238824885 0.0756934109859123 0.0221001820405862 0.0149371473555709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0973970282277426 0.100712914021084 0.0336219302794273 0.0563666430857423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00693634536297208 0.00538704651109183 0.00031729605632219 0.000212386420132633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00804401755644029 0.0592969389265485 0.000703768318774122 0.0567263819545217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00696772397703569 0.00546209056143243 0.000322026677009645 0.000219222609092651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00808403537688948 0.0593820564661439 0.00071158011039495 0.0567581704398429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00734674978680963 0.00612814563371611 0.000339584091719557 0.000243071302109262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00849182153207093 0.0602102774562906 0.000737750696951982 0.0569931996649247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00919515548532149 0.00833369441490822 0.000420652681054878 0.000337680162096821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0103350658359863 0.0622132788365466 0.000807768272876519 0.0571379506579244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0193076216652109 0.0192502566240257 0.00124506599970885 0.00124606155724889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0201596310131286 0.0711860263306674 0.00148288273231272 0.0587188702226265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0302631430232135 0.0307496581816432 0.00286958019554344 0.00286375684585733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0304329899851609 0.0802010935594516 0.00280716898104584 0.0626307132161326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0082472900647184 0.0073832801599468 0.0003727694677094 0.000287380059341808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00935608648074462 0.0610898410525575 0.000735068175472949 0.0568097320428727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0117851585437468 0.0113954188851106 0.00056334108182882 0.000507659426244517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0129044887121703 0.0647608808847243 0.000901280465046449 0.0573709842220352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0200768813895294 0.0203375329104642 0.00132969537451163 0.00134288632633637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0207795169966149 0.0726834840702029 0.00151435880353514 0.0599407212145717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0552252466457997 0.0569300310843153 0.00988056000209572 0.00834202463828581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0535324869662916 0.104497403181145 0.00863602077969869 0.0823655022989311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0910354784494381 0.0933476644748379 0.0294670542100195 0.0190651560214401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0877971293575554 0.138733285110032 0.0270644293114915 0.116693682611776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.369388554510654 0.369398763488165 0.145797562981266 0.690251341788895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00603127036766882 0.00665493358178982 0.000445064463149675 0.000660286169969376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.370013802919429 0.370013822058163 0.145800612664488 0.692031657819153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00606265238225917 0.0066674683150427 0.000449023034748318 0.000660876736544534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.370033943778013 0.370020919024495 0.145685541011062 0.691719721746342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0063347822783477 0.00693990684629749 0.000454704016670259 0.000687860365736183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.369913854497762 0.369732019097723 0.146032209130734 0.690118868386625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00752713440548657 0.00813697873204888 0.00048348203583709 0.000762369301270716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.372259947196829 0.370255012364098 0.147229817206272 0.685970026061765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0139821615698946 0.0145413433200286 0.00081769873416985 0.00118214812798616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.37642845537447 0.37107564146503 0.149382672158216 0.682547029551837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213262135141318 0.0223716354631657 0.0017177317539524 0.00272610145205133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.369246689853537 0.369123168563383 0.146008830302016 0.688758476293166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00707654332834049 0.00760640921194095 0.000468946434908826 0.000710655869373153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.370847518908221 0.370322014397114 0.146483042957223 0.690271298522295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00948973673389741 0.00984725910087487 0.000545751045963443 0.000823782619646768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.373535447591834 0.371205698527737 0.147761702995874 0.688167057694123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0150302513223489 0.0153361044463793 0.00091747135771505 0.00132592254356251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.393628002368034 0.374772573739044 0.162406708726187 0.682140164968971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0415899513060692 0.0418828530876095 0.00802765499567541 0.00958080351176854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.417363344408701 0.375168032623363 0.189045974499102 0.667894586160533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0711358965849012 0.0686293974376288 0.0265377092611518 0.0237064201870469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0049695007180532 0.000536126338113655 0.00021928599304469 2.00942041170169E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0051942313068899 0.0208958665091207 0.000316494585990028 0.00637825477610127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00498420935561208 0.00141389789610862 0.0002231398623214 8.3860605063861E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0051998206217027 0.021705377128795 0.000317225704268245 0.00642020907994455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00523581875683109 0.00265307117461128 0.000233919023291087 2.78724890827624E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00542075814892897 0.0227304639845445 0.000296050599810973 0.00649404008684435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00649033030116709 0.00521731582660623 0.000278743244482011 0.000106670291609171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00663414532670173 0.0247906236258009 0.000354509204910777 0.00670958906287476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0138911121619385 0.0154971718483269 0.000888096572534864 0.000911531706531323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0132420387918868 0.0329948877174173 0.000656323751885694 0.00863117788651581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0225710517069001 0.025483444614789 0.00244731051943907 0.00233251798885424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0205573828466626 0.0423466882096343 0.00134670745640729 0.0122558222145106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00595637492345898 0.00416076012648769 0.000255707778832942 6.87051278571711E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00612591361644735 0.0238014410277887 0.00031765069515014 0.00655734082437059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00858507430650756 0.00828108026989078 0.000375821070028196 0.000273364511686164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00857394545291731 0.0270994841227719 0.00037363310418858 0.00710086378389073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0151351235019548 0.0164280481734982 0.00116662394952115 0.00103006400450639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.014233774997864 0.0336813649130933 0.00069908821643183 0.00896745953729714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0449604563911776 0.0465392240386423 0.010360988965215 0.0068589069125541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0400736002063304 0.0648682560897431 0.00604187981341185 0.0247279940748012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.078378729438953 0.0734642298714633 0.0298787004165265 0.0157152009297054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0682204633013001 0.0965167708687917 0.0206526291529139 0.0492300088337718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.39023805108971 2.38680240145208 1.46574749498402 24.2112966717432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292650638001306 0.0202159893058437 0.0222172589486309 0.0119417582428525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38969977160933 2.38622400593505 1.46687834067674 24.2014925551895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0293240978491179 0.0202325194035262 0.0222882246363856 0.0119858206178507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38641351666264 2.38286145402902 1.47279951039076 24.143147918501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0294323230911898 0.0202171036212841 0.0223334652856353 0.01187865139798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38239696573553 2.37866886822338 1.4802128269435 24.0688992832008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0304470156902721 0.0213593412927991 0.0224839106599636 0.0124306124176902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.38010489580279 2.37518226448674 1.48753653137521 23.9941703939183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0392807438648235 0.0309066589010551 0.0239324216252111 0.0142817325324397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.37402916947924 2.36720151904073 1.50206904446975 23.8379084509974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0493096585922803 0.0404484118912932 0.0264563469223291 0.0140588064640999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.39195017167164 2.38822075953191 1.46274661354227 24.2351015823797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.029946986006035 0.0204577463022489 0.022368135880701 0.0116831539322439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.39350094068788 2.38925687755488 1.46102821606311 24.2495423115424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0330026027045922 0.0232222717614976 0.0226628565454182 0.0121258921370947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.39106203480134 2.38538815812356 1.46854323295675 24.1707382705198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0409956313761658 0.030626229489386 0.0238772865857912 0.0124963574382555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.35024821434054 2.33437636383091 1.55335843647492 23.2192185210982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0757560671658279 0.0631284200745084 0.0345935391151076 0.0181415087067295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.27421343000974 2.24148176867422 1.69098947972381 21.5399476570271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109743252163267 0.0968372419294042 0.0482491581477311 0.0331315280723309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.545309540183188 0.545340603536375 0.285127019508294 1.46994077248825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0082923722692799 0.0110549048969957 0.00106619511246904 0.00320616226051866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.545861710130263 0.545892805187606 0.285064057450947 1.47227575963174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0082438375636676 0.0110742446132353 0.00103719824241638 0.00320608316703351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.546792748541871 0.546844291863136 0.285052743786306 1.47610679679732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00844106331756401 0.0113284341034075 0.00103861477554465 0.00325537699071483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.546687547989536 0.546726925265001 0.285138840012436 1.47404592016438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00970559132170514 0.0124072161510735 0.00109542851943748 0.00311106624766254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.545948538381773 0.544807815950508 0.287921688058249 1.45811341632961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0168988786112438 0.0199081404826974 0.00146905941772151 0.00380220602942864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.554064706430101 0.550366247012093 0.294127615038179 1.47645723170892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.024722106792418 0.0278286467311555 0.00234192816397162 0.00449024092537867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544278956456459 0.544159077038451 0.285831915785449 1.46442407812562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00921074664300474 0.0122527638557819 0.0010575147413777 0.00341042092705469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.545385427635049 0.544916186479776 0.286008712479692 1.46435960477953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0118809352917169 0.0148967946397129 0.00114675855032043 0.00338921721729195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.548524734448122 0.546767427192264 0.28862708022553 1.46628476670205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0181170502320321 0.0211795983130954 0.00157566418659222 0.00368575695328688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.561915917590779 0.54685379581073 0.31331040735929 1.4430851978779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0456889129378387 0.0507982068418018 0.00789724008334972 0.0113610195630677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.581415302129531 0.545383169411345 0.354713863601924 1.41564016021773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.076076906333405 0.0828166381568384 0.0248405651980218 0.0289582635915262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00638047519143 1.00818410328126 0.56754953760505 4.62327268953135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00886245508254912 0.0253056546368792 0.00103735967042652 0.0142832234497441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00759290005407 1.00936209538609 0.567402731203793 4.63265728783709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.00892571875257453 0.0251683644790118 0.0010553837207103 0.0141398174797222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00809822931644 1.00980921758647 0.567322920165247 4.63588426259838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0091917060112801 0.0251787658004348 0.00107415666188313 0.0140155946019919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00811809340389 1.00963788315605 0.567906535107834 4.63308976685268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0107332902203499 0.0261633792517683 0.00115934769600344 0.0139752271910479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01238683346468 1.01234294895865 0.571379813414686 4.64417635662774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0195250452265635 0.032328810969172 0.00185995782988733 0.0137178744107327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01580493664075 1.01278737376327 0.577261927081828 4.63581365950529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0288258770688242 0.0394299028910027 0.0029759869262712 0.0136747785510506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00602560501186 1.00770090821944 0.566914230428646 4.61700033964005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0100428873098824 0.0258035231814258 0.0011256663207138 0.0140437573554956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00867661915917 1.00990650041224 0.567969773764236 4.630788164234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0133094960758018 0.0282545882485432 0.00134421784776598 0.0139777769696355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01399471287589 1.01373772101141 0.571166346128709 4.65191563686158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0207099613272633 0.0337434440317814 0.00203750601600133 0.0137744503326436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02614086628705 1.01219636766622 0.6005629264933 4.60421690050677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0517257192707362 0.0615458030389383 0.00852779894481778 0.0169299234789105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0280483641735 0.991743112678089 0.652084524457054 4.4098373874166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0860116129850788 0.0972371404113552 0.0268068897175891 0.0377349598721282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81692140621672 1.81623862362251 0.157457686970126 13.3499161981077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197197408588459 0.0128546270031958 0.00963648714847686 0.00406660562620418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81656873410039 1.81590101655155 0.158282735324869 13.3458076372129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197063455126498 0.0127570505844156 0.00964695233032086 0.00387181855726712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81656156749338 1.81590163383226 0.15839668824435 13.3458777357241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0199755374192542 0.0127398438849313 0.00963424884707707 0.00364561565532438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8162492996473 1.8155924849092 0.159081991680432 13.3415122607485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0218180323498208 0.014089113180098 0.00983201718059426 0.00365946442586315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81023973112803 1.80918992867385 0.17305705979002 13.2591602562284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0320023467367841 0.0239329885608271 0.0114932517541666 0.00475188423871248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7993998671999 1.79722932637174 0.198260309197575 13.1055197209986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0420378593056464 0.0341377108871037 0.0136306005056115 0.00552826844351219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81718911325131 1.81653543035398 0.157028632081579 13.3533893862958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0210671636263872 0.0136454282013059 0.00979419301303251 0.00387354962246432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81488264106275 1.81415140821761 0.162268319586389 13.3228213326217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.024659423915011 0.0170480072490788 0.0100285104440373 0.0041855134354143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80976443910492 1.8085203091985 0.174142503798217 13.2498381652286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0331384189141374 0.0252811362407832 0.0114058922745184 0.00473640317334837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7635972080222 1.75492542504775 0.2837095997904 12.5628498110792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0663225986234338 0.0609868107431424 0.018543032146221 0.012750818701347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.68703171285272 1.66072772352121 0.465565667295241 11.3787181052263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.101304609562503 0.0976327067038863 0.0356898299718216 0.0306825730709352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.176708474413535 0.177494093620666 0.369277999020027 0.47473544286663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0177993348885731 0.0302852199930816 0.00905337371264777 0.0236282430554225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.178982107841678 0.179741680300709 0.374039540692422 0.482501453018616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0178354075378492 0.0302915815221712 0.00906988374226293 0.0236505528191687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.180828278540676 0.181513527799532 0.377756841776036 0.488426087238754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0178565749891173 0.0304443653882593 0.00898374714100819 0.0237594146406406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.183458269413119 0.1839490664255 0.381243922626001 0.493786937393916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0191149297475519 0.0317661465950434 0.00915141616376705 0.0240635415843443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222646240714085 0.221008780003301 0.447630970521726 0.603810416122727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0279980466962099 0.0412206136449659 0.00880601180541607 0.0261869788413321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.280182797188744 0.274571562304533 0.552496744459517 0.785787214897349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0385221354567262 0.0517402838250622 0.00970816603674295 0.0298571281940131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.18003364071215 0.18078966783821 0.375147143557105 0.48432692183933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0182916579510736 0.0309755629491396 0.00888381780781752 0.0236579393238741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.191375085988017 0.191776408922114 0.393192443091612 0.514459245474207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0214984170825683 0.0342929481732579 0.00896990575245962 0.0241866715262586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.231605331475463 0.230183164472909 0.463850668740997 0.633912435404042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0294336590089774 0.0426771967917087 0.00903848401962418 0.0262911984548414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.494244826559992 0.471822173787072 0.94947402265096 1.64492513657368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0640755355481977 0.074748975662956 0.0143896139468772 0.0317707277057913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.74654056485623 0.693666648881552 1.34306580150908 2.87623183405063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.101457572450396 0.110950284886657 0.0331093592496183 0.0492565335446168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87255797832629 2.873223388741 1.01745006586051 34.0021302799134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0218488971794857 0.0422315603851646 0.0133523534513231 0.0535922239470369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87303493581826 2.87367845037753 1.0164813663808 34.0117826190086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0218658659552362 0.042448252451358 0.0133437593116208 0.0539625046437099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87363287196642 2.87422252325197 1.01473506092893 34.0227812334806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0219189370950824 0.0423991938846104 0.0133326993659318 0.0539050094399824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87215724424143 2.87259921008492 1.02008299875418 33.9904176656592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0228532077229271 0.0432498423632193 0.0132067385104193 0.0544339741324435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.87229060059418 2.87178023473497 1.02314518628729 33.9669926903255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0322400933041515 0.0512308807767676 0.0139594176093826 0.0554048207874441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.86187947806401 2.85961188239423 1.05630379008152 33.7081964140639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0425737434563009 0.0599209125268869 0.0147927912128714 0.0547227108346731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.8706906381528 2.87115201126554 1.02296938831376 33.959646310061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0226056321477702 0.0426525194159911 0.0136644589834064 0.0539075544414331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.86705350578758 2.86707766048111 1.03492172160475 33.875694280335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0254609465424423 0.0450841715108981 0.0134419450853339 0.0542371994170654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.86515578834922 2.86397632888818 1.04407401531765 33.8066270700949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.033693508447229 0.0521259977944679 0.0140314574248242 0.0547905542304239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.80546973517935 2.79501063204713 1.21677861927189 32.3581894998202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0686960171206431 0.0814338736682954 0.0202021124031743 0.0549932479436621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.69369504876864 2.66848121385274 1.50560320528354 29.7597279869694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104864765914401 0.112316508698135 0.034542581383351 0.0635764753535064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.012764669158069 0.000463715926017183 0.00152420314991624 1.31916188833641E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197671107137871 0.0096990688889499 0.00948698867891865 0.00412024278970507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0127519130866468 0.00122214348601612 0.00153019780925662 4.47926485055883E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197476662707176 0.0103018634284736 0.00950170871656791 0.0040722207044927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0127968439635076 0.00226845005559752 0.00154616294000403 1.41434768889585E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197891175609942 0.0113811491062664 0.00953398213542085 0.00415138550139611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.013739015263335 0.00442868012585173 0.00161904278945636 5.32862676712465E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0208995386168278 0.0135656948226393 0.00978778032268338 0.0043439081007278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0218141989804887 0.0131854950011922 0.00244352420878749 0.000476287557589856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0301255786435789 0.0237241703788282 0.0120632083967482 0.00659427063431876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0315005677197067 0.0219541916863646 0.00401359797089499 0.00132875055326305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0405482385686016 0.0346032114238263 0.0148307108465182 0.010479105483231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.013108016449239 0.0037132849294914 0.00154342160774613 3.78239677405433E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0200669611988069 0.0129883886975599 0.00940717363431442 0.0043101178585101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0154975978888123 0.00735537832594505 0.00171175355811766 0.000148350862780133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0229081642392878 0.0168820562395984 0.0101547216347041 0.00485526554472978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0221692010026905 0.0146792045618851 0.00243392767339479 0.000595288081379395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0303982954419066 0.0254095192420762 0.0118632109312861 0.00705600334808022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0545211056406399 0.0438500543812123 0.0101293419318163 0.00529881106166759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0615116860675651 0.0614365227337831 0.0197657173032201 0.0250639436379091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0905495328477298 0.0722734915345285 0.0253474671123559 0.0143684623895951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0912763752315419 0.096104257388687 0.0308465196716079 0.0540423207713125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0101560944958723 0.00784278828287547 0.000611821081139784 0.000457445286622827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0148268284725086 0.0742989877524352 0.00233625962698999 0.0694958337308799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0104953551572797 0.00810525634249711 0.000838665621636971 0.000516896382336469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0148277621788382 0.074325512893 0.00233328153809653 0.0695554330937758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0111388672376904 0.00873079339098749 0.001451595177859 0.000689960884024851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0148770345470571 0.0745186733952855 0.00233159212226032 0.0696752593407692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0135469920231715 0.0111990688051593 0.00389034451193966 0.00126235576542449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0156731686791808 0.0760418882838086 0.00238597012551781 0.0702484341404838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0296763336228038 0.0236318406063552 0.0222697719181752 0.00381746738189871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233663622780876 0.0850685809380985 0.00308404629242458 0.0743777905266598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0491798133519302 0.0360638361349664 0.0552265916180139 0.00675001549723156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0325041405654197 0.0956482075137772 0.00438255655495338 0.081763284246539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0131902230946037 0.0103757186814694 0.00450452119589467 0.000983361654908954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0153595021566089 0.0759665633879416 0.00237211984591613 0.0704420071896974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0194566555550015 0.0151844417328925 0.0145066901177553 0.00193811744754036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0179875707466727 0.0790837889508658 0.00256595912493451 0.0712684847399787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0345476092042277 0.025470765622334 0.0421355279518985 0.00401632085173316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0250705291788327 0.0869840273970248 0.00322815755145901 0.0751291660067808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.103868189240655 0.0662239246542277 0.205816572467609 0.0151723847156706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0570757595229731 0.124408036950678 0.0106916198717369 0.112323028922117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.176042412249849 0.107756437203061 0.453784160739503 0.0277225017001275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0931653090570723 0.173253861948081 0.0324238794407545 0.19041449433725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.393107901617414 0.388288973505675 0.159433540236734 0.752956062056314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0157626582197338 0.0156062290674944 0.00306439643110937 0.00365387151588445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.394246995626612 0.389359715409346 0.159717045805979 0.756447301346537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0157734347289699 0.0156403727669842 0.0030714881219908 0.0036632104281544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.395106706364696 0.389630895530029 0.160482253761545 0.757195868583426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0158192770560525 0.0156503477658957 0.00306463001619351 0.00364752260992109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.397196902382388 0.389841502896761 0.164108364930507 0.757318159199603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0164959370113199 0.0163038449407251 0.00308451468512877 0.00371029308311261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.407109528563499 0.387957807090305 0.199637557697381 0.74684324161194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0220454434943976 0.0219747780635753 0.00344380584985481 0.00443651288298007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.423526740728644 0.390054572429606 0.257875313800271 0.748253552067235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0285927978960751 0.0293600251757315 0.00439592660579486 0.00620120526087738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.394887303313715 0.388593926885845 0.162040537876418 0.753338411852027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161514348428167 0.0161437731510616 0.0030586595939848 0.00375588458514866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.399442767134714 0.389661624586149 0.171239304069549 0.755359536478519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0180838202228677 0.0181588201106208 0.00313778549092036 0.00403683282823043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.410589090297112 0.390819902344936 0.20764307976999 0.754934882202399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0230663980739434 0.0234656577975737 0.00353000108233077 0.0048897218304074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459122503308383 0.389906159591561 0.456755173811003 0.732875769361495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500838294833198 0.0512114160430204 0.0123595308628024 0.0154123220323802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.508501957461242 0.387930940728736 0.724978864375465 0.707122569525511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0854000357823176 0.0847732509951198 0.0380437806754703 0.0383865658380412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00746266172091236 0.00554175379379966 0.000393247961332115 0.00049422596155147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0104572104246029 0.0337789571377404 0.00139341118031194 0.0114790389208988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00796037990864646 0.00646936315844076 0.000539893299706621 0.000668936100497969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0104417226133907 0.0342954157040618 0.00139037971185597 0.0115133165925902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.00891637404691743 0.00799409670584231 0.00107740158153071 0.000985394324102541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.010480070475925 0.0350577414066921 0.00139876248480604 0.0115307917538087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0121884010444251 0.0113183600952963 0.0047633565363254 0.00168693373252287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0111318445029076 0.0368494531887843 0.00149685431946156 0.0117359760876057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0321057020437009 0.0235255039974161 0.0404588942647479 0.00459177821515371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0168430072584522 0.0441050799778819 0.00201625638800517 0.0139085077674249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0537305789699359 0.0341663501867758 0.086913592293338 0.00754990294022075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240431680331355 0.0531308983696789 0.00297610178454891 0.0181302112370472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0109367408686284 0.0104374048427268 0.0031719323168964 0.00149754424092963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0109007305643314 0.0361955554739671 0.00147134844136966 0.0117219953726654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0182640243734646 0.0155579340275612 0.0128825419471865 0.00258584985312037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0127651196094842 0.0391431165750438 0.00164622024005609 0.0123495447088368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0353268033582341 0.0249385134131525 0.0490187207331126 0.00479385367647827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0181518597881845 0.0454759593939425 0.00219812196590268 0.0146864241230235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.108433900606155 0.0566783206073026 0.305297270194846 0.0143812266724248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0447491420157864 0.0798626876942866 0.00891016941497597 0.0374628652234773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.17956748088179 0.085581336185203 0.610344847076505 0.0254486774044302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0770576638011004 0.122637760049103 0.0293177265638093 0.0822765358561365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.3411229976019 2.33724203168203 1.53680849036135 23.2807828107988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0467396981419429 0.0418869689772054 0.0409783190227675 0.0283067791004082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.34105313210565 2.33699334341187 1.53648594932308 23.2760916266199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0467769296503431 0.0417928609158989 0.0411236475145131 0.0280918065025552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.34234382996666 2.33808047833692 1.53298252399023 23.2934532763832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0468256631426414 0.0420140241274743 0.0413910597677014 0.0285636293317835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.34379283394831 2.33899238043061 1.52973000416158 23.306971117117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0474418264652212 0.0421140447412565 0.0425504022155223 0.0284729870115261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.34807391222899 2.3397966945469 1.52590738681586 23.3039745848509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0543601371441569 0.04809229946852 0.0453458158585675 0.0310499118749276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.33852603536639 2.32484997248288 1.56661958667884 23.0205433488751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.064594709959487 0.057085911258683 0.0497105381225123 0.0346828469704562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.34069903119769 2.33650649956847 1.53930521948515 23.2676429512341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0471373319704896 0.0417772304618795 0.0412589415205031 0.0280190801284562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.33816131126841 2.33279562537474 1.55269106462526 23.2016721510056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0489476568252559 0.0431565295441241 0.0427200966301353 0.029112935135418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.3368187851512 2.32821292215983 1.5812191788031 23.1091683703724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0561915643281227 0.0491519009138912 0.0456480325186165 0.0323291374371538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.30228042234319 2.2758685125576 1.74214904033199 22.1133181158245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0920649571758485 0.0819064615300906 0.0648174375589738 0.0534709388756168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.21439209321162 2.16673622457854 2.02324050973485 20.1505369381438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136795594791787 0.121868348453847 0.109893491677801 0.0998477428408225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.566276451240363 0.565081404983241 0.316111522379151 1.57236586142642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0198244469377667 0.0222499408343788 0.0060951617761786 0.00912473876298437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.566127068666428 0.564788846134521 0.316498978348603 1.57112859963912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0198735659340016 0.0223637053620218 0.00610429814258581 0.00930019654549634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.566364806263587 0.564602739247646 0.317932691591418 1.57016703152167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0199160428156325 0.0223919744976398 0.00610779893931744 0.00930666571355525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.56780216139145 0.564908744912079 0.323003470525748 1.57083263552511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0204567570453957 0.0230529664198399 0.0061322266091555 0.0094089344245106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.578288469562705 0.568457409689577 0.356788713523923 1.57927698318627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.026882894730186 0.0292576500592543 0.00673473128297735 0.00983004678669479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.586710569189417 0.567916283160245 0.385923076346382 1.56762522861157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0348762744910465 0.0372186907239902 0.00822492465398531 0.0114293755758147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.566140456830056 0.564517205933525 0.317997973485089 1.56877959682079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0201401926322605 0.022670718831163 0.0061208947537592 0.00925864624505751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.567791253841333 0.564393765869942 0.326249464095156 1.56568528658509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0219737949466209 0.0247829767118423 0.0062047631558734 0.00975009121854678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.577664257726273 0.56789014688013 0.365250899046247 1.57553574584239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0274942213834679 0.0304441080135961 0.00691234244461976 0.0106499419492825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.615849680846197 0.57317854754851 0.533017875580666 1.57288265692407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0547925705249068 0.0592454438332369 0.0161816596902717 0.0210974613539534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.649740134111897 0.567419493961716 0.722554286197608 1.51814302431636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0892580391692634 0.0965364441613789 0.0420399622269403 0.0500374574830096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03260242851961 1.03245900780332 0.604788485408276 4.8308430082958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213904720213199 0.0334032886975772 0.00649846210151347 0.0163365257626594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03348037830497 1.03300210535015 0.60522824964597 4.83571030948836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213791123030116 0.0333835244118327 0.00650344408813997 0.0163136587859273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03379737024263 1.03284244263077 0.605997097723221 4.83440757496246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0213933469690546 0.033296407410592 0.0064751983671049 0.0162057230380585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03361203247154 1.03140046889466 0.609836251831849 4.8213828799521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0219631381142999 0.0336074734438056 0.00647355091846922 0.0161593881316833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04414423706555 1.03419941204834 0.650461862300125 4.8370895199043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0292807273043441 0.03964181268237 0.00726120607280863 0.0175146968296543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0528006935288 1.03450206405996 0.68468631248447 4.82931137005616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0379397651102688 0.0473520726131293 0.00868732530392199 0.0193873000303919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03410268132796 1.03200249567301 0.608162354214299 4.82617949649364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0220127319603914 0.033494625744071 0.00664170514329382 0.0164014723996168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03764569980812 1.03249181611801 0.617513613935928 4.82733592964153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.02440725624803 0.0350466775161281 0.00686886546301855 0.0164886474429694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04693383155853 1.03436688118097 0.646970029885119 4.83411554262497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0311216544741447 0.0404399948328789 0.00770839796238002 0.0172870421657734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07418726936762 1.02592321246043 0.835570649077639 4.72663521177254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0635883322194899 0.0698571954681273 0.0188473905154035 0.0287006171402142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08335430626484 0.996061614840764 1.11988385877727 4.44058243745296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105105622955336 0.109730809479543 0.0545423525860529 0.063014096702596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.75750822854361 1.75467436814719 0.261766847191315 12.5472070933253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0314923413193957 0.0294494175664483 0.0164947082529635 0.0129835346014199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.75856628808969 1.75529700561479 0.260990976226872 12.5552400396435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0313818386113761 0.0294231885349575 0.0163825912254096 0.0129185516613167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76136893468708 1.7574530436955 0.258415317844855 12.5820743189943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0313930584963209 0.029447231980688 0.0163239422786216 0.0129713169963191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76404889616854 1.75857438761968 0.261701351736091 12.5956609774857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0322421139682324 0.0299114628361461 0.0163236400492255 0.0130784270494186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76842740902096 1.75570630549291 0.314388042510261 12.5549304978945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0403726694793541 0.0373556080389278 0.0172621840087257 0.0150863554168026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76699125980895 1.74556869232919 0.405434854107967 12.422505977809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0505695042658927 0.046384547589101 0.0197117193602373 0.0169714968365451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.75844076085283 1.75422954842002 0.264770743292465 12.5407261021165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0319063541962909 0.029722892464031 0.0163837571490987 0.0131103168809895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76043528644294 1.75400518800381 0.27390209352071 12.5376930464199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0349214406848862 0.031631246541702 0.0168749650652505 0.0135584574802146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76009828513085 1.748777152346 0.309216824068948 12.4687422950195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0427951005759762 0.0386155647538609 0.018404305348853 0.0152676325577526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.73108929715227 1.69377022706625 0.611220397975588 11.7649061600718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.07895813689388 0.0730371268748747 0.0312738574521104 0.0296719143979187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66528035135564 1.59859101352553 0.993548033692449 10.5845558395482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122229996971932 0.113876299681244 0.067010629280011 0.0638633561019035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222177233957836 0.217766936108341 0.448548945067953 0.567680583999744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380037955162288 0.0445941780546716 0.0204269460031711 0.0347001009252724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.224231141385732 0.219787945667639 0.452743649776035 0.575313919384039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0382663098919709 0.0445834583626494 0.0207505072719085 0.0346974788085269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.225029451016269 0.22048262440433 0.454932022276778 0.578122443813255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0379525025046994 0.0446816918237005 0.0203155178992912 0.0348512723929016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.228654094891798 0.223522335342417 0.463041257173004 0.589133669226237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0383234588353083 0.0450090045478845 0.0205062737412992 0.0348655635480672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.25337855395455 0.243916451692149 0.51660430910019 0.649780037226032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0441823137435248 0.0520850119569103 0.0210104886559763 0.037292054482762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310504651904767 0.292851349866133 0.647390689197879 0.821714503017472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0526880711030954 0.0622650898253706 0.0223189065920997 0.0426886925276328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.2251822431844 0.220330908429752 0.454379056999273 0.577408526398255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.037914133261555 0.044799205872581 0.020251688142487 0.0348594020112188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.233551894112571 0.227547046643646 0.46987640483112 0.599987890175701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0397259456377059 0.0464157933210467 0.0208653598294892 0.0351029466830275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.263248486452752 0.252854137279147 0.528380368758827 0.679941334331181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0456158378159276 0.0535193384594937 0.0210920208954079 0.0383718234815376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.506989188891871 0.462221875193578 1.03643747314757 1.54707900011887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0787993014294963 0.0878231120140399 0.0330277265484481 0.0575312413936102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.772185752013587 0.682953860385444 1.54341212378231 2.73234390980395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122805723634059 0.128812438253827 0.0713900708258527 0.0964927435104041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64662901512794 2.642903620089 1.48464457214188 29.3215547117513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0408515115647177 0.0577364477224472 0.0246707001468173 0.0641210646859899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64487801878617 2.64112778041245 1.48889829800384 29.2886247466654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0409134241890546 0.0576448987416669 0.0248316029887548 0.063904090716675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64498559746133 2.64120317389235 1.48859973614722 29.2900385772993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0411541068525675 0.057676438203486 0.0252361678024871 0.0640271430803783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64252034378463 2.63829906544234 1.49655214068911 29.2356506254274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0413046987489897 0.0577070005561111 0.0253077510320842 0.0639922709099243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64123775651953 2.6331663998118 1.52023540018035 29.1260509085064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0470212905699534 0.0628584086040225 0.0266788621638137 0.0667021406660857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.63660700422965 2.62298933247886 1.56086943951408 28.9066265877051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0564038470672561 0.0719103135256822 0.0299863884277745 0.0725826471314782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64715792258895 2.6428565528368 1.48162069634755 29.3191658312813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0413448191332135 0.0574852436904285 0.0252589393101579 0.0636958086220546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64600787528023 2.64055241261636 1.48427917534177 29.2719310711089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0426714557969861 0.0582146790204502 0.0256488225879218 0.0639203091247027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.64003957019426 2.63089189334326 1.50921867304321 29.0751543312284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0490979048895949 0.063572204666789 0.0277637649375509 0.0667145451201642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.58886598745796 2.55903718928908 1.732821708786 27.6227866256052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0831458156028313 0.0959701332161085 0.0426157920928737 0.0885507431243567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.49597775954893 2.44545574356477 2.01958040904795 25.3737681779998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.130372105368265 0.137516011328554 0.0931456671477719 0.139173143543563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0215642382774795 0.00661938110063417 0.00334487742318241 0.00179242135649945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0317519806967222 0.0173269028564743 0.0142224286042788 0.00754039187799651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.02169198814555 0.0072198058088653 0.00351409400660918 0.00184237756748058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.031834977653799 0.0178294480716727 0.0143348740182888 0.00754462757760117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0221577423840747 0.00834182488084253 0.00443620532116427 0.00201452963141308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0319109888268267 0.0187671715899273 0.014427919527467 0.00761070187762775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0240586920914811 0.0106262711980015 0.00931359698266222 0.00229695952661443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0320609115985011 0.0208172742000931 0.0144657475301529 0.007802352238761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.038371037250384 0.0198483238733691 0.0347115247125545 0.0038709794236595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0396498246572872 0.0311971834122105 0.0183343434159803 0.0103500630048779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0581007254543548 0.0290374487095215 0.0716908370607862 0.00597120363880697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0504789036659504 0.0435337341217123 0.0236195851805325 0.0154642396554652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0235455790490844 0.00964559655893746 0.0138886721821025 0.00218711762392767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0320421452124457 0.0199347051802171 0.0143764477858335 0.00775660624260819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0274859686731154 0.0134588838803602 0.0163448287297658 0.00286786956643904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0337812934658955 0.0235371213152148 0.0151687660136708 0.00840888910806023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0418723648183147 0.0211665738248004 0.047039612195717 0.00460213827891131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0418560527370459 0.0326495945164974 0.0194305234873891 0.011291074088474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.117513177255596 0.0498184105995444 0.235861851503183 0.0128400226488371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0794387988947637 0.0726761640403957 0.0374713873106847 0.0362441149005937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.197176996983168 0.0778599156054985 0.43014600134781 0.0247589842154681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115818586080113 0.117259651636518 0.056417043756305 0.0882785330397989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.807768698474841 0.835650475504563 0.680544982838803 3.2052524434054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.640792517360579 0.639991195862171 0.609629936076025 2.04135302122454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.807829036938708 0.835704973700738 0.680712635320379 3.20559399992535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.640998553362485 0.640205965361559 0.610093052439551 2.04176090770143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.807797663237322 0.835787605715978 0.680985965829292 3.20640311656661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.641712028269517 0.640308189631617 0.611743112505872 2.04226334159921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.807956908583992 0.836050792345048 0.681398026682488 3.20818000260861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.642772092031182 0.641200243890163 0.614460216437061 2.045309285637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.810441523435512 0.837778881479892 0.685283834221818 3.21882709189853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.645930967490268 0.644853589201403 0.623496518964901 2.05466862778446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.812397925609963 0.839526995749383 0.689282740295551 3.22924184598037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.649353019013747 0.648945458486473 0.632914479218267 2.06812269283538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.807982837948073 0.835833130168029 0.681578205977816 3.20656003618661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.64191035261295 0.640428265309134 0.612331462307943 2.04221477906282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.80874500237066 0.836342198720734 0.682866393105242 3.20980356946127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.643190811103169 0.641684937841402 0.615318606885087 2.0447998706719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.811021349947623 0.837931437282764 0.687677556826197 3.21821772946712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.645126492450348 0.644238237458843 0.621112024847411 2.05300205623665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.818461819019541 0.843072512617707 0.701253319899484 3.24820191033712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.656732021978888 0.654773660802877 0.649684378845264 2.08879955628982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.824694015928608 0.847771192227132 0.711071102228275 3.27555715190428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.665945818557103 0.666106493543139 0.667955922331909 2.13038161361834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66337189592981 1.74005824702554 2.68412050037611 14.4421720461805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.55921807159671 1.56161578734798 3.32032436112891 10.8624658541325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66407718105115 1.74023742244891 2.68846557201863 14.4451655187442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.55949594520902 1.56163766785332 3.32246795978934 10.8601174951176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66471850809614 1.74082524753884 2.69253141077274 14.452125445136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.5585162102544 1.56128928141662 3.31767121467857 10.86314584235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66480729144096 1.74108425162065 2.69450799932286 14.4532897090872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.55959305632093 1.56200440439273 3.32778745642974 10.8745315766785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66916042076764 1.74436221548183 2.71982944000831 14.4907684082579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.56365098934903 1.56862138957898 3.35287503949086 10.9380898613368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67279681984564 1.74672258335234 2.74507969127842 14.5167075822593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.57263308723929 1.57455860132502 3.41532395203277 10.9803227700473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66614457940404 1.74060644094708 2.69256640611974 14.4481110963434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.55799178391613 1.56215265647886 3.31293866926489 10.8664346148968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.66779839422076 1.74136896283997 2.70176702439771 14.4544121137287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.55945854224601 1.56516569553123 3.32525059766146 10.8931759889315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67145550402527 1.74334584124679 2.72157160810944 14.4728627272796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.56487523379955 1.57303752476402 3.35878600047181 10.9599692372469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.68181989650186 1.75002494024462 2.80752190846751 14.5401109937591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.58690154671836 1.59467509924129 3.50131703997941 11.1466355407044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.69362216831191 1.75667990051867 2.90571727883371 14.6139217160913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.60712761514535 1.61052230176358 3.61907791800706 11.3293609643812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.694995723936924 0.690854736294177 0.48063489247316 2.8488461907535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.35626579403556 0.356385351261971 0.484942458069246 0.805288562148371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.694463515499417 0.690629532609704 0.480880149707374 2.84674254178258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.356997019673772 0.356787766505891 0.486332516105834 0.806017630819619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.695806139750424 0.691258157597625 0.482295137743889 2.85002106682675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.358113567478195 0.358244539249628 0.487867619228744 0.81051791325885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.697052208351316 0.69191251742938 0.485829179832862 2.85308809194757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.359871799114909 0.359844379576775 0.491104210314278 0.815896627454353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.70087599417866 0.693007744809399 0.500419810191385 2.85599373589693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364418968694673 0.366297594183593 0.497776275076358 0.832780266432768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.702743155215233 0.693076964013008 0.508266211362691 2.85122071742837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.370332718167337 0.36987095919266 0.509100660768537 0.841086635272718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.695791060236865 0.690718873745309 0.484440761210641 2.84734029598008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.359738674360566 0.359105597400193 0.490176622404415 0.812069242644721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.697437173760596 0.69097994647072 0.487072035025589 2.84625027859031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.362186150329714 0.361395247869948 0.495043669245894 0.817509704225115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.699363774053705 0.692113150855374 0.503234307026841 2.8512260285105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.368475460893307 0.366469151845852 0.508525341993094 0.831396772754335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.704322777280989 0.695086538742401 0.530346865528353 2.85595648415571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.3844202728603 0.37888105920181 0.537226043320554 0.880651415663516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.70862151543898 0.696489396192053 0.547013691597531 2.85169632338999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397217481240356 0.389878844411762 0.556267429958443 0.920654004710289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.895275818205605 0.879299147238491 0.844863959414918 4.22361417919351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.450624003219554 0.450454322621719 0.580909725334934 1.12888079157674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.895688357076239 0.879353653180322 0.845968508115568 4.22401327740294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.452260304356028 0.450508725977657 0.584823241153405 1.12947906913348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.895639886220875 0.87950670456059 0.845976497472954 4.2245389166303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.45274602214118 0.451010425507528 0.584600320153435 1.13248516041347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.896069381469504 0.879789304352687 0.845329540945042 4.22614113267371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.45240742520872 0.451956056635342 0.582772981868271 1.13707987665274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.896842823610385 0.879964596041896 0.848264528555902 4.22330797409101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.455926699360152 0.457092025922213 0.585972321240357 1.16128699200185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.897446358510918 0.880784368488127 0.850175491412878 4.22551434508512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.459294982353771 0.46084109841856 0.589921874477424 1.17946617352725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.894956529911862 0.879560483308703 0.843744791688927 4.22390373771113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.451893349093199 0.452557176544774 0.585633737504705 1.13713587351377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.894738109550724 0.879948001091851 0.843589081730801 4.22516906540028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.452332977071682 0.452813257709938 0.587407052233251 1.13980086817795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.895972183979067 0.880744909190157 0.844891854283282 4.22799107890125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.454883627490772 0.456332514813952 0.590476727622916 1.15705195790496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.897268082085009 0.881169192299365 0.857725990577921 4.22155137906914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.467434521974405 0.467259308972766 0.604763880531378 1.21176854472125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.893856061240176 0.878734502047166 0.857839586715295 4.19075108152911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.481861202725728 0.48031461322633 0.61709082062865 1.28281286412692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06843117250168 1.11877818712748 0.848138469013371 5.39717860196665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.8821035961715 0.879117252667104 0.880210511144296 3.2508881215073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06904557855875 1.11929625588145 0.849924447160488 5.40230939342608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.88248925999141 0.879817025323491 0.881563920104395 3.25467854967101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07005365639475 1.11981559186418 0.853105130280616 5.40758751731351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.883659125435986 0.879713158929916 0.886300399354069 3.25343333721056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07006340336586 1.11997754465694 0.854882580372961 5.40842175784829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.883100542377735 0.880692509538525 0.883682841767787 3.25773574505817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07277980562929 1.12232963413195 0.86496810206131 5.42386955443081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.889821064052565 0.887482821645128 0.904472985010272 3.28642368475838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07705279085674 1.12522960340206 0.879241458066303 5.44136567505115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.894777040762307 0.893153455893633 0.92033961078728 3.31300633019563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06975628826576 1.11956088794158 0.85336200414201 5.40316143185732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.883468423232522 0.881672190605162 0.885647234368698 3.26236485415586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07107865132319 1.1204991031862 0.858511507267632 5.40875878418923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.886970608409357 0.884388151503675 0.896732355377954 3.27565304325166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07278341056814 1.12150409562941 0.867360609880514 5.4129534131307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.892792249417027 0.887499935514476 0.914515281919649 3.28648222799413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08304504407348 1.1285277782485 0.909020990631303 5.45695828243548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.911067414755536 0.909307333887126 0.968571984991122 3.39478770587134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.09472125551412 1.13662220875927 0.954547963724699 5.50548961746146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.934209691941453 0.931210874453735 1.0374698301834 3.5110837829917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.815303119728984 0.828689733814464 0.87846364912664 4.59858311868182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.547414401477962 0.54976084436072 1.11229275876098 2.27223348276488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.815367233734165 0.828835992532272 0.878794881161285 4.59941692280826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.549844676439272 0.551962236231065 1.11540592323712 2.27952148141386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.815651038331888 0.828935100574517 0.879484863879435 4.60000889465186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.551868055055747 0.553584551096313 1.11743335208137 2.28397228890547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.816416621599905 0.82911545302532 0.882398583927236 4.60083062300875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.557779699794292 0.558610721974803 1.12476992797506 2.29707537346589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.819194996605729 0.82947457600703 0.897187327238356 4.60102377991305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.571249548047049 0.573661219375644 1.14507374790615 2.34796333261847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.822239657255284 0.8300981425629 0.91608161135294 4.60377080791333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.582515871354239 0.58470353672754 1.16349685193117 2.39310691392711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.816261972030709 0.828578617602231 0.881065306261022 4.59615585586756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.552158892711335 0.554185424516688 1.11995341328246 2.28286716153183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.816457157725153 0.828635909952405 0.884708794648415 4.59607161070776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.558021641443473 0.560227550145108 1.12760754480653 2.30161514857585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.817789463344575 0.828994804484299 0.89713964555912 4.59690276376698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.57008377336944 0.572974523386512 1.14183603013589 2.35059629688959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.825238043893856 0.829922236233045 0.956447582680815 4.59507295833062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.606611842686209 0.606202128720207 1.21264629305613 2.47632340996529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.832820505691431 0.831113542769263 1.0115392570646 4.59810080777283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.629977465476137 0.630672032186297 1.25857205322771 2.58789078873925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.852253971499751 0.896996470714132 0.77838241909416 3.54202960776668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.716930063378839 0.715747717892452 0.716642536784133 2.3676579393807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.852030108952681 0.896741030940078 0.778057654878467 3.54052277341611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.717430751557182 0.715941720477619 0.718222203788994 2.36824099119631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.852446994901668 0.897105783341101 0.778353406551342 3.5431822813845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.717676363858213 0.71609888117437 0.718658030983426 2.36869318694317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.853062192211212 0.897569685376059 0.779505376315103 3.54540984065304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.718759333304056 0.71694396512055 0.72069535316344 2.37203249610041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.855438119085017 0.89955139795012 0.783120760293479 3.55846108331005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.721193111669438 0.720745532819603 0.725934105960211 2.38756090932049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.857456303827026 0.900717882695028 0.786238216557529 3.5648474777694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.723888674440952 0.724178006371577 0.732975383758209 2.39924290926465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.852132696415463 0.897043356661036 0.779235914174679 3.54260213576457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.718634243799029 0.716390150030298 0.720779409889205 2.36932994614703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.85258913047532 0.898132313600919 0.780004149387845 3.5505328265308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.719999587189038 0.717879519245099 0.724813463553467 2.37578684783395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.854725675321495 0.899646117307326 0.782849593554593 3.5606498138167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.722237208653625 0.720085716078722 0.72945030461979 2.38487660150441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.861606729627826 0.90349559567299 0.793615306649191 3.578794472434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.734792194338895 0.730555607221541 0.758325939205318 2.42136599009206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.869006198817338 0.909704008979613 0.805932554086125 3.6160685891309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.747368607759 0.742888889617681 0.787692337509836 2.47379344531605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31002928765967 1.30759702352246 1.71288949412642 9.10402408598256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.718758806439082 0.718132068705042 1.40522056162909 3.4033993388118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30988538691835 1.30763536083628 1.71345054953428 9.10356443732589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.720681104458824 0.719429244001561 1.40809370081349 3.41197796166231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30989397850971 1.30766905056554 1.71383248125853 9.10333467963968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.721326323014474 0.72102746470927 1.40833041004667 3.4221335880273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30986548109321 1.30760695797178 1.71430379414605 9.10147783491503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.722540738138715 0.723356761301231 1.4092762310202 3.44343047430495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30939526239622 1.30749442860551 1.72098316729878 9.0983641430169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.731033951888366 0.731446247947362 1.42158884986729 3.49675082652278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30970109160618 1.30788609138667 1.72357036894619 9.09982649669926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.736868015882076 0.738823179865414 1.42947483890991 3.55327799923831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3092109762101 1.30715202674443 1.71359907318126 9.09647273437046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.72338592236352 0.721096679061547 1.40954110907042 3.42413825531674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30933739432967 1.30711039151984 1.71380181530023 9.09346711949345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.725284384971419 0.725228934412628 1.41673457963416 3.45742875987369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30890282443901 1.30695291170527 1.71648772936205 9.08812966424956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.733915158647402 0.728883878996365 1.42732482442789 3.484749931888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30915310468044 1.3064008737308 1.72213366630238 9.06139854146477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.753151698273157 0.750175413895878 1.46484875157494 3.62484183001293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30922062051918 1.30643006081899 1.7370127680088 9.04746950366646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.771910254132979 0.770530852212479 1.49138978046121 3.78495204285441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.69350867829283 0.712007969346158 0.579981018127907 2.80267348391914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.62408323391232 0.627324700821334 0.690693655733848 2.21546949611722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.693689363239378 0.712096527814186 0.580507834556334 2.80284574561782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.624619837279851 0.627654218805075 0.691831578933445 2.21722561080091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.693788723527638 0.712170795787726 0.580827103035097 2.80322747890626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.624776183827727 0.62786275115131 0.6923363581856 2.2174726983002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.694046550020532 0.712255074536323 0.581533969450024 2.80357000353173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.6251609211133 0.628119955505976 0.693199187191672 2.21743866726804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.69471734472545 0.712652119062553 0.583821360543729 2.80434155022563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.627093280904567 0.629987339149879 0.696699592917802 2.2243168494752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.695678267463339 0.712988241865965 0.586209091946986 2.80584509761103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.627631141004012 0.630463140106869 0.697230782458238 2.22558930558671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.693823701247367 0.712181597886394 0.581269811286859 2.80340214854327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.624712824321261 0.628213371867585 0.69190617111357 2.21735998783213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.693923347053803 0.712178211745601 0.582618062954571 2.80278560146117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.62520648632633 0.629005276635165 0.692878201419686 2.22085923740609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.694548525390486 0.712351241948213 0.58607766370048 2.80278419730191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.626179290390731 0.629452438416541 0.694882644814873 2.22198171793548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.696947236862602 0.713964307749518 0.596427653357966 2.80918353957982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.631855306628691 0.635393343144394 0.704640890547601 2.24475896790819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.69839343397196 0.715301210116223 0.607313958624701 2.81258500229527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.636770242556507 0.641357670373608 0.713787238272805 2.27194935540898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591091237957679 0.629669327954785 0.336977185636823 1.6433958576489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.535567230961607 0.535789617150299 0.332269978012121 1.21106521798828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591193158940796 0.629760655300935 0.337217744686986 1.6437955102326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.535687699097564 0.535940055722823 0.332608656203034 1.21149484197715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591284838851637 0.629833989885533 0.337316315788775 1.64407451469866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.535747855302476 0.536090233879215 0.332677289349731 1.21191770473134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.59140760550417 0.629782880811152 0.337473575491425 1.64363807325442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.535981720541082 0.536200824737641 0.333058750955211 1.21211940775988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591820666502194 0.630192251152604 0.338398224634549 1.64515156977169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.537157518246101 0.537185153043731 0.335624974146741 1.21485461424576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.592813490081734 0.630682046201653 0.339798283869206 1.6467319164854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.538156301456778 0.538808964201214 0.337622906148271 1.21909197324092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591314398690161 0.629767472416724 0.337363741790637 1.64397973708419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.536111623979071 0.535994224472935 0.333559041804006 1.2119674016974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.591810972551186 0.630015549845328 0.338040259350094 1.64471905416017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.53640306567363 0.536344156127027 0.334038514850605 1.21267076364535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.592305774735843 0.630499553693083 0.338893026645406 1.64662721771691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.537473636770932 0.537646147967761 0.336248229696844 1.2163133992233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.595700582315329 0.632245764383932 0.342531525959465 1.65272414104787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.542303559178348 0.54173526185088 0.345119495655979 1.22772098567826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.598881883455843 0.634104268120591 0.345997526034804 1.66003256693347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.546969850688942 0.546692061480856 0.351880163878023 1.24392835933225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.777367449475437 0.785159739604034 0.538752876205904 3.27677976777639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.159287175763023 0.158578652590658 0.0901438409273973 0.168815807400396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.777263127132426 0.785261984192385 0.538703344397076 3.2767676355383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.160267897547368 0.159576829970435 0.0917458798160305 0.171060037482568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.777507741551257 0.785483619027444 0.538585703366178 3.27739466407654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.160564606499351 0.159972228046187 0.0922128833601177 0.171634655514778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.778196513325196 0.785929476658866 0.539048924292826 3.27876186664349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162370907252107 0.161963858208362 0.0950049643085764 0.175542531372023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.780281489319704 0.787914053513344 0.540892530718583 3.28791312090819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.166868096276576 0.167674443928389 0.100994800116658 0.187695144936262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.784505422084463 0.79032479475515 0.545888656017015 3.29663169370672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17420900799313 0.174551174735286 0.11646437187532 0.204341489073486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.777920581772095 0.785643553619321 0.540946724970018 3.2775849277594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.161470562133832 0.160797312680984 0.093843680271942 0.17302867337226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.779208234875735 0.786540877738676 0.542565771691032 3.28073632823973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163415103464933 0.162805267809916 0.0972315089770151 0.177942600256927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.781331179959359 0.787698162057473 0.541103318071965 3.28494083539732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.167903874472277 0.167228919106031 0.105246163051122 0.187606727098474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.790497654810147 0.794171525044367 0.551027394157826 3.30849469479703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.188303689429015 0.187176762414545 0.139629194646602 0.231315310491523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.796785030561067 0.799252704287639 0.551871509931899 3.32064935305666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.205733470379315 0.206195527350924 0.162769092093018 0.271415511902068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7071671797239 1.71662143890969 2.45880459233664 14.8881619098467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.704671942129726 0.707222176983036 1.35548013573182 2.64215517789465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.70907900901286 1.71792700887449 2.4722465913207 14.9040051349826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.706999181787308 0.709703233109734 1.3670340279086 2.65714173488384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71021706219695 1.71868781744451 2.48222109193706 14.9108098565165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.709454296931549 0.711645545958606 1.37923838700232 2.67344844071818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71212827863116 1.72025744552065 2.49779497986059 14.9265323449926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.712780208670913 0.714941688569603 1.3934085122259 2.68799720061035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71806950439489 1.72626523096599 2.5347904711247 14.9864701952512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.727251737954555 0.729658800302205 1.45499005012652 2.77544072166753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72203827529906 1.73317189614445 2.5850324297427 15.0719763738276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.742268375877443 0.745082750323086 1.53228960516481 2.8753832521207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71104929344006 1.72046788086102 2.4902654317587 14.9334427444912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.712693180293392 0.714960179988167 1.39475291807404 2.68734401820684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71403893827921 1.72327707568802 2.51812430060254 14.9669252984494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.716336998298745 0.721778152143923 1.41494355309865 2.72583018325291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72219668548493 1.73036075692712 2.56453408155618 15.0527025364673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.7304018130384 0.735001466363813 1.50214230206027 2.80282168774911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7431685348584 1.74748150583966 2.73851080828455 15.2403375958416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.772192516570886 0.775983562074592 1.69940867953931 3.06793330923384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7607821168003 1.76689376908194 2.88301606247537 15.457525535158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.81989446823973 0.818017967033493 1.92471214310322 3.33881823704864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.93139853064393 0.864933003402961 1.07202158377742 4.58763221996281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.222294427447508 0.221579382632545 0.311048863438657 0.387831276677044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.931716407667097 0.865033855807765 1.07255826598962 4.58755590627568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.223080646606035 0.22257502104381 0.31288401239516 0.390303737443111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.93173680271655 0.86524660446612 1.071762955712 4.5886699202784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.223745488600565 0.222242541465453 0.314294298705555 0.388752669534621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.932079706132202 0.865785449233374 1.06972714159024 4.59127612902609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.224927230146545 0.223255634952851 0.316761075232857 0.390953189990709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.932472027983854 0.867951620273521 1.07159120103923 4.60271540104147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.235779226721615 0.232284935867636 0.345275445170298 0.416366375000867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.932412626806484 0.869871526634993 1.07727577378064 4.61066949233208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.243253732682389 0.240569968358036 0.368391493332411 0.444635297123442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.930721858636608 0.865479690762534 1.07339308904525 4.59021467811555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.224585601443483 0.223471485039599 0.316007452454666 0.392197989692933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.931085906953057 0.866459050302625 1.07347759118435 4.59561917721404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.22763291810824 0.225647137264908 0.323471439539011 0.39913373462522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.932636917218342 0.868467199125911 1.08200738762404 4.60608012347367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.2335872268988 0.232746317926804 0.340916704955371 0.423354596728945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.934479354394286 0.87492482915998 1.09819974481204 4.63414028955328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.256066668071094 0.253966963660135 0.403245942091641 0.484220031937076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.929183308390006 0.880431452026229 1.10885950099924 4.65460181106453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.277703632536549 0.278266483426648 0.460766686732167 0.570505453039596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960816811996322 0.943951836042831 1.71970482713589 5.45423462209002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107528586985317 0.107483837348274 0.0758624769226694 0.0930287821614526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960853071029003 0.943863492942427 1.71832926152148 5.4521988648273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107715296979112 0.107888568036286 0.0760725200528632 0.093583186261151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960693027432776 0.943796336346515 1.71480514108464 5.44939536229988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107931275483779 0.108485547446091 0.0761769318860102 0.0945994281437924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960174864936205 0.943156418981117 1.7071666698411 5.43588161804254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109318321613813 0.110849082363489 0.0809755638962644 0.10508215432369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961738055231587 0.94369467451195 1.69892724071837 5.42023014488697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114899833405694 0.114934884658726 0.0927375970061307 0.11585857718521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962705845737718 0.943579129982732 1.69074883672085 5.40467377061532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120783760049311 0.118634314020637 0.110175111042749 0.125107363386972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961063308809526 0.944233589907276 1.71186372061399 5.44905525490473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108988388160334 0.109269284117547 0.078329075808847 0.0974184225506639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.9603859234026 0.943613781213768 1.70429659569874 5.43506456185228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109950584410134 0.111609473703455 0.0789295316613119 0.10693372806649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961731509297338 0.944029594599144 1.69615482000554 5.42541361079375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11437986280677 0.117054240942132 0.0907819363826845 0.120953120868584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962088286427208 0.943896141234469 1.65093580934241 5.37167967239412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.126298746053095 0.130158519650913 0.118419841709668 0.158305532603195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960075281782048 0.94229513333912 1.58146043901126 5.29633655928444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.141957438992592 0.143592664191587 0.153896606093287 0.198353499998919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.978883254146651 0.991316587384877 1.16261931179912 5.30847415282647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.188464936904137 0.188465998851667 0.0895478047365372 0.175532333758038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.978885405610563 0.991623452006291 1.16220502996283 5.30954971078942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.18886618435202 0.189274858953338 0.090558474355601 0.177991410550692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.979208758264145 0.992160974100122 1.16093745135869 5.31217614899516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.189629587294915 0.190247997758285 0.0920278946014235 0.180312222246651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.979936323007042 0.99310795982248 1.159434676862 5.31470062228125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.191707470579194 0.192257414628407 0.0965709191145916 0.186229321203567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.984919010672179 0.997746815438013 1.16676516404926 5.3373244492567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198816104427928 0.200053060939595 0.113124166529451 0.208898122977354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986834509599026 1.00029285574793 1.16341620193629 5.34071332072272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.204995731313257 0.207391531986287 0.124996131149486 0.229692628789736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.980435996768404 0.992391501820282 1.16064626587196 5.30925146303604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.191032637481209 0.191369916740841 0.0947790637600345 0.182983751042346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982895743771245 0.993859889950469 1.16129170956126 5.31473878891292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.193484720176683 0.194118007968923 0.099687737959401 0.189468227342348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.985926944137165 0.995854282119777 1.16454349177781 5.31750512258463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.199978287319849 0.199958174159707 0.116814146187782 0.206465899033602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.996515229967911 1.00562691987203 1.15560966103835 5.33493850291554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.223836621278307 0.2235393995425 0.163861143132117 0.268569401239306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00611564770932 1.01429754822425 1.14066076236176 5.34351834182685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.247751395169876 0.248320117521244 0.212597550796315 0.337757944788418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07184090451959 0.91499841051252 1.33246383149488 5.52164719075607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.30856011050551 0.306389366835367 0.456795206740068 0.550811959556564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07350125515663 0.915242857160838 1.34572568972273 5.52289887098058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.310535269470036 0.308800192564727 0.465071588559851 0.559537547531239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07297572382591 0.915356682992064 1.34651062413843 5.52333306094375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.310979603667859 0.309116029255602 0.464211222318021 0.56037084318077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0740293804934 0.915658922308937 1.35283474763763 5.52515493933335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.314889745780724 0.311779872655034 0.480962086762464 0.567853358540326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07611981951694 0.917170947614749 1.38460288684556 5.53477696592426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.324918495177558 0.320798646735121 0.511068769018227 0.601434716404242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07628622286561 0.917926607839737 1.3954235657527 5.53799207814639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.332344919710679 0.32908083892385 0.529826107616235 0.63495461585071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07276450412657 0.915387239242954 1.34837915970119 5.52408959430486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.313832486430348 0.31045642367257 0.476290700262895 0.563232304048144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0732365035292 0.915629027894018 1.35323824564701 5.5253253161292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.317324833827835 0.313081795054033 0.488249334388157 0.573147066733763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07326441568477 0.916944830945347 1.35958530568566 5.53504832793934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.324316923617751 0.32019711495816 0.510811954568345 0.597616048826773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07177031396783 0.919406775791077 1.38157330550397 5.54309882904828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.352521424586346 0.348215495598355 0.587416367022571 0.699813544863675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06746400333524 0.921694916322355 1.3835051662042 5.54755640089512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.375146772927102 0.370824387583129 0.64592093914035 0.791302958789538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.784740848398088 0.790823845171959 0.621590032886759 3.4279265102821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.137452401259592 0.137226205724447 0.0505046942446454 0.112532027489734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.785633083719816 0.791335282573719 0.622986997576909 3.43016420763914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.138471445725287 0.137956992033821 0.052356030899128 0.114209513512256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.786229417928544 0.79193210986448 0.623238740298427 3.43199256517067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140463158840693 0.139903680698567 0.0563122135342488 0.119187540072209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787772919571419 0.793066214106588 0.625524173903942 3.43660302627679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.142750933129583 0.141065551365178 0.0606592290872825 0.12081358886009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.791018104482711 0.795905501138764 0.629801937207401 3.44584554431995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.149705136275598 0.147613847483417 0.0742251953802965 0.135664809084919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.794380195165318 0.798402033576824 0.633298883901526 3.45275389072141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.157317376905711 0.154842946893856 0.088182741776252 0.150814134868343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.788255936972429 0.793052269269612 0.628337676553935 3.43771099911854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140164514819375 0.140956868305084 0.0556628999806263 0.121625707928344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.789633280890796 0.794514835345793 0.631068242304683 3.44318043402138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144042839827873 0.144084906255325 0.0630519340692942 0.128644730134237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.793363109689443 0.797089325676408 0.638773793196367 3.4513825609305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.150827722227886 0.149580431239464 0.0750416671054257 0.138492623974586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.803915247602596 0.80508349372891 0.645008756515081 3.47357795507907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.171072959802522 0.168428541969819 0.107790194760084 0.1779943320654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.81090529689516 0.812194253124509 0.637966979781667 3.48762632708983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.191156914159489 0.190023955518207 0.136485353570456 0.224898317460114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49727998943715 1.34134553014629 2.75085246217397 10.6826269574455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.435228456336969 0.434661655386186 0.884935924533853 0.866352519990022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49658342330654 1.34102014889593 2.74835366456428 10.6753850119944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.436396790968433 0.436123522005583 0.888436785455814 0.876503154161255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49569864563052 1.3407650364349 2.74690917685599 10.6716337035876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.436897785350518 0.437054925611725 0.889858748150978 0.882453594490162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49464236395529 1.34056464437153 2.74556391535859 10.6669453057044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.438530135584597 0.438777183328249 0.895036715243007 0.896337028571185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49056079037115 1.33897989268606 2.7343279344295 10.6295837037383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.444799139458071 0.445223221258769 0.916216189641746 0.937071523864291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.48591836773849 1.33697256619967 2.71341369558222 10.5808331652869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.451687451999687 0.451190703623371 0.938450452916729 0.975126559174424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49708082557695 1.3414014807436 2.74970038646413 10.6763675159262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.437757678512365 0.437995503463238 0.893901012345701 0.890047073673096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49544338022425 1.34124304130977 2.74535164255498 10.6706216541029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.43939844688654 0.440792045050191 0.899245654966802 0.907612412168603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49094803005649 1.33906185916314 2.73455228999441 10.6285786444334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.444834910487348 0.445702689159228 0.91810744338973 0.939264208978231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.47490992840387 1.33364764991414 2.66855212260795 10.5110555587242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.463160544992442 0.461456395313324 0.981883476359989 1.05073735082544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.45856264005502 1.3280233142208 2.60817824180365 10.3850162945391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.480702139420687 0.479787528142523 1.03939653432701 1.19158011800068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.734305182668976 0.710664573790513 0.458224197648958 2.86311931511424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.146845323002008 0.146482686160969 0.0717964446315313 0.130608134645676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.734838197700526 0.71076537904413 0.458991955571703 2.86339545459092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.147415382236783 0.147029941301883 0.0726268553619781 0.131288674293095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.735220139718434 0.710918502381175 0.459772351552114 2.8638283695683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.148230346033376 0.147980217969676 0.0741027410311299 0.133762078113854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.735733428047771 0.711145670252416 0.461252343794603 2.86455032348681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.15015394983235 0.149767603200613 0.0769210902502282 0.137213273247922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.737140835929416 0.712173722156377 0.464442020949035 2.86777139892977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1550737030575 0.155081081781192 0.0836122128997045 0.149018970137409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.740046994716436 0.713169263729232 0.468624901523883 2.87029709340282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.161082949247469 0.15995057434409 0.0927826096101313 0.157330901936432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.735236340959555 0.71105983065235 0.460370200888365 2.86445224063567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.149702586230165 0.14948442631245 0.0762393896578443 0.137631886116544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.736184788260547 0.711583679156118 0.461710395197436 2.866395017948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.152039439072217 0.151245109406361 0.0798098376236708 0.140543070311061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.739478245103514 0.712433553584433 0.468333690958463 2.86862463885934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.155905647667706 0.154864689654509 0.0862276912792011 0.147130836736008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.745192565830492 0.71539018449957 0.470034922710419 2.87608623218247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.173491501171784 0.172227470434743 0.108709053355447 0.181868022412626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.748995562428466 0.717463745863937 0.466452461224145 2.87707258428693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19077605263262 0.18916621173053 0.132062274668214 0.214245212866693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.518787035686096 0.533106470951074 0.265618452655232 1.51937556126932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113856224301528 0.113850872075986 0.0249011720660555 0.0670495915649535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.519062348737605 0.533302435341008 0.266031581444395 1.51988855017594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114172793104818 0.114138677484005 0.0254059558617334 0.0675798257087057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.519382162819671 0.5335092310102 0.266322778589096 1.52025979447069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114630619438026 0.114610377935365 0.0259117215682607 0.0682725685673033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.520002641998414 0.534147811088333 0.267142348602879 1.52176338416519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115887684097484 0.116058094356395 0.0274414265104638 0.0706022368043808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.52205303736305 0.535834530999331 0.268555608959729 1.52479313769829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118918398374769 0.119370226443725 0.0307221586330357 0.0759762725529873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.523744943336043 0.537389071186799 0.269712121050941 1.5277445884601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122063414415374 0.12286726855879 0.0344899818695942 0.0808194017649678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.520213049296637 0.534217306056918 0.26692147845539 1.52262937113549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115282919068524 0.115478319818815 0.0267462055443474 0.0696855118963449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.521382566882239 0.53495805571339 0.268030656743984 1.52444272208053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.116465696183265 0.116889320122547 0.0281011474455429 0.0716734610148019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.523446768343787 0.536583923042293 0.269834874134836 1.52854670697598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118548269963094 0.119539638524892 0.0306177481871438 0.0759707467586668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.528335596114788 0.541656868169214 0.270219540421175 1.53774824781282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.129613078375658 0.130486248161938 0.0421441588620528 0.09226156306477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.533061076227624 0.5464699163602 0.268045022700211 1.54453550056343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14170304658269 0.141340947912453 0.0542263790815604 0.107045493251859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.640467333852977 0.627559340710441 0.649792805519179 2.24837157454713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0341603080519717 0.0252651463682995 0.0356272771992623 0.0104482065215734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.640957867846016 0.628383505522484 0.651076495294873 2.25234941144997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0354526833371468 0.0254619601265849 0.0381633583648692 0.0105838947502189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.642152384035375 0.629577346221223 0.652726549394777 2.25761693225494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0360089949802205 0.0261506375880726 0.0386667374894996 0.0112497564140748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.64386745234749 0.630637684583921 0.654647815247514 2.26099904175794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0380883761490787 0.0278434864168299 0.041156248036424 0.0134803284595306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.65164483273814 0.636220354326351 0.667097691667979 2.28342793411052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0469672833306306 0.0344266085215788 0.05565727236987 0.0202175351081337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.658232194231443 0.641090148203418 0.671877102819425 2.30127010141016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0580642935363309 0.0424268239209828 0.0724836457614407 0.0277047956816638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.643244320735487 0.629702288662564 0.65083453017949 2.25793383082762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0362115169232664 0.0271531976616998 0.0380579855166662 0.0121610049210987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.645554103587567 0.631621838831403 0.653622972315943 2.26584161464768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0398494899615329 0.0298002930768344 0.0441450369059582 0.0150564563090377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.651399799122173 0.635884127383349 0.661678009876107 2.28262460159019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0472170473881223 0.0350918451275134 0.0578551141263871 0.0195730139666407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.67702879260199 0.651944643601611 0.681655659732702 2.34135053123881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0778986730947651 0.0601626051502617 0.098286955291838 0.0412837257318962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.696313679471268 0.666486466220845 0.68251222313072 2.39426237881841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.112725378836256 0.0856541042796279 0.147444651535789 0.0665073131009376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.36612421690244 1.32772249887019 4.21842159005777 11.3206994503325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0887429292883227 0.0600782610902407 0.083992751662659 0.0461374603627121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.36753727909623 1.32827150293087 4.21591978091768 11.3210397432529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0903073860189986 0.061607255517856 0.0880066472827195 0.0508929221431997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37132213346661 1.32866082399346 4.22875681934964 11.3179208700576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0922133312475905 0.0640317588203656 0.0965452232824618 0.0675284744793961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37766305130888 1.33088290342084 4.24145446716207 11.3376254256756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0965368227338438 0.0703069790168041 0.107863121449145 0.0865819191338536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39279382608355 1.33704243226641 4.23951056084909 11.3627403882472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107055302643623 0.0845425526364487 0.132001427962615 0.148995548411144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40681900635279 1.34228270324453 4.23817466241035 11.366674078425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117957347607429 0.102636591407091 0.157668250116798 0.2165491271921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37274641576638 1.32955982071709 4.21500008622647 11.3281755702742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0936640435643997 0.065826123871582 0.0971279693060099 0.0655039292541943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3801511413489 1.33243570658359 4.21630587135436 11.3424160558552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.101785053266351 0.0733099822231442 0.120418624462148 0.0869183539723882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39267153043354 1.33654594881486 4.21583234163166 11.35466082119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109867186296875 0.0860054368749992 0.141307879041994 0.14889574942549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.4408425532304 1.35273777487825 4.16411874941742 11.3367355831448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14816315118708 0.142957913266746 0.230813081172486 0.358297226286795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49054533751192 1.36944105483826 4.07489720773806 11.3067995723427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.191415630007469 0.196878056311442 0.322349275310212 0.568098090665382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728859160534827 0.715367127536652 0.894262793107004 2.93901707814235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0322333312411235 0.01475853018256 0.0315038940989564 0.00411195003636427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728191171002717 0.715399012109861 0.891698390425395 2.93840601588719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0332664434405988 0.016072352212911 0.0328363482511752 0.00629224748082589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728322435754165 0.716043746129093 0.890789256139335 2.94253882015429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0347862359096936 0.0166706166652763 0.0350605505398871 0.00661624329385669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.72785369922722 0.716213540733291 0.889171081752167 2.94201722780019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0364760638568675 0.0178373225578695 0.0368533122712321 0.00750286389326776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728391270693329 0.717435175704524 0.883631924812754 2.94191888875183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0450623827331037 0.0254911232002778 0.0452748934608695 0.0182028038417224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.727877940934064 0.718218241187011 0.880917152688055 2.9391496345497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0526806059667933 0.0322742886421484 0.0536345054322405 0.0246532944265905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728819104625868 0.71561999270125 0.893998469497289 2.93837178025035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0354567230542398 0.0172410662636854 0.0352156158703397 0.00748068589449824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.729817189587176 0.715799509060724 0.894208679705986 2.93655454018843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0393910461801324 0.0202873209250156 0.0398588461693669 0.0106074525285255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.729103806212308 0.716590769426939 0.890576043812688 2.93525678792313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454353967336838 0.0259023346859074 0.0446386475249693 0.0160462017476229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.726364447567312 0.718961982212539 0.871963014335904 2.92527740835563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0723779461330816 0.0503854722760923 0.0724921759672589 0.039988482474116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.726708313705663 0.718978778109641 0.850909313933915 2.89742057469407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103041410729238 0.0762778530455675 0.107644888039595 0.0633328417087176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477373070189741 0.47191437489021 0.221580890828299 1.1088127360048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233065539391933 0.00754896621989011 0.0134442828238609 0.00237252814683687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476712788192191 0.471289116883862 0.220656344290019 1.10523508776842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0236172085739931 0.00769212840076566 0.0135970566749991 0.00240404351421448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476000892681997 0.470729945016444 0.219901865215043 1.10167643253293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240461703726354 0.00826311049616891 0.0137454440110867 0.00266998995525805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.475581230075065 0.469885745942179 0.220783393209206 1.09645168837887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0247980843473348 0.00899753572330513 0.013874619262692 0.00296012933798953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476856783013529 0.469182229346669 0.225118741186963 1.087481637322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0290623933384592 0.0127352986121859 0.0143546333363138 0.00328726029687124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.479105550767976 0.468824404307943 0.231347955046407 1.08109506127673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0342274490206876 0.0179814173592645 0.0155154594925927 0.00448959619727626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476556807122637 0.470732098806382 0.222316303270197 1.10133979838101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0243766996912091 0.00818811891713964 0.0136981829203082 0.00250324119269251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476117454199153 0.47031616445342 0.222214313741491 1.097640923087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0259207123053396 0.00978682598797301 0.0138640644008283 0.00278818548356567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477172491683511 0.469140418251254 0.223819647952061 1.08865577875498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0297387834369608 0.0134804607291955 0.0149087597052732 0.00337398129980041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.483310983246616 0.467121637287181 0.244368813144768 1.06428637441218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0496316028985211 0.0324664232946139 0.0226225612025306 0.00958743621355543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488804830671909 0.467931161963879 0.261371303941893 1.0520168943369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0720463610447344 0.0527391796428535 0.0359170282158541 0.0195118977571558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.983516401189076 0.967962140400092 1.44117762655189 5.18782226617895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.035459137291452 0.0286192570246746 0.0200231160018176 0.0396192996485723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.983671860127351 0.968755121720723 1.4415700465131 5.19212504173261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0371247196171888 0.0299821709198147 0.0234928046854464 0.0424738044418971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.984787611048649 0.970042952719003 1.44305081981635 5.19978491052328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0382318041190095 0.0313371837860638 0.0262794145222999 0.0459879832116042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.985514869232233 0.971271903397118 1.44317975721703 5.20409531000871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0412623774461962 0.0333954518291263 0.0327877468257345 0.0492647029236698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.988973462378716 0.97753254187399 1.44151240895767 5.23379603770387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0517757423152716 0.042617010904895 0.0519478827197023 0.0668572389620923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.994321996567329 0.985153181198587 1.44462437097296 5.27241791930025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0621966940747097 0.0540958243057162 0.0705472304159659 0.0903556808993049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987527546840771 0.971831639586338 1.44822548150691 5.21059445185801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0397415353048403 0.0317133560960361 0.0292927329447764 0.0463577765038726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.988789534944585 0.973937812837654 1.452141058505 5.22007081244694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0431266162394107 0.034643118620308 0.0357023727815289 0.0508500618390916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.992305390483497 0.979534855499215 1.4569775037851 5.25088128571572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.052793891623843 0.0430434812437888 0.0523283154462282 0.0662205058393969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00106027126435 0.998262820843369 1.4354289282535 5.32811506019283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0876207479780789 0.077520547769649 0.11886366327741 0.123883298243847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01009406829457 1.01520553207536 1.41285939805741 5.38547054690034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.128040086620295 0.113899970432876 0.194545854227534 0.183127268416844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.919448108463325 0.884644319164294 2.02253172843692 5.25094965571371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045758039538891 0.0353208479166768 0.026386307680664 0.0136626335238373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.918997563070702 0.884806643990289 2.02145757409732 5.25171327399093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0469203698664442 0.0371286215688552 0.0283030515380762 0.0199721361397761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.919440636414759 0.885009624672061 2.02273839048363 5.25238362654064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0477176108276296 0.0379376954473937 0.0291428996756936 0.0213755371978834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.920256706513884 0.885532913276144 2.02417174435884 5.25455653750651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0506506171862656 0.0403929003874212 0.0353103876296695 0.0268036291492386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.92334496159183 0.887729219923116 2.03401155075492 5.26360704081734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0631285193794868 0.0522914672955121 0.0601633894624723 0.0489211578883916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.92486532723066 0.889836395104725 2.03797983486521 5.27093895587727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0731264945936647 0.0617585791528239 0.0747271929371028 0.0683456423759723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.919512137711158 0.885491819588149 2.01755234936045 5.25524105415675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0495811064156361 0.0389642266753287 0.0323928842466534 0.0213612839675088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.921755779993889 0.886481577513425 2.01811759435103 5.25933303122137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0561357034831289 0.0436135364975079 0.0478116423397997 0.0279024287658552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.925101288965589 0.888372960983385 2.02601080925222 5.26759002915813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0640863194028379 0.0516993299359185 0.0614858356562259 0.0423049428877178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.931141419802474 0.895037033505356 2.00317054026469 5.29076729063608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102957122681583 0.0856466940502977 0.135358676170561 0.112473263406887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.93613364132058 0.901144125369681 1.96935928466143 5.30848982991373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.138421439656438 0.122219848675598 0.200483053089266 0.193205501804611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.678013425131143 0.664059155012845 0.720183463065997 2.50208824343218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310978350882185 0.0224540609145015 0.0280589770338004 0.0206724973170282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.679125335505376 0.664669902168406 0.721108382332519 2.50468827213193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0325276338475446 0.0236156742031793 0.030654212619923 0.0224107882073345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.680359353820777 0.665442449019163 0.725030932270157 2.50786140880107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0337606275330153 0.0250985807727694 0.0338323138327799 0.0252275445560366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.681706543571807 0.666943259012826 0.726924035164718 2.51454161863899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0374161383883927 0.0273764310156038 0.0407240787815891 0.0287867302000029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.688895045442062 0.673329298834376 0.73811462374269 2.5410651289975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0475407084705021 0.0342853931450282 0.0581166988221172 0.0372118767012258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.695952604051735 0.678606348202343 0.750224468909019 2.56057360053288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0571258075461405 0.0408355272289883 0.0710502977174919 0.0415307547161766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.681039342684239 0.666386358757866 0.725519719748243 2.51168742048209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0345437428302006 0.0256782660238379 0.0349498589654948 0.0268634217490283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.684602090042599 0.668648474773 0.733354724914576 2.52028743857451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0383027323510199 0.0295684650876803 0.0412547497658386 0.032553892191507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.687773735487995 0.672291886407471 0.738128500907394 2.53407808427664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0461977261818914 0.0341474658807147 0.0524010534911748 0.0364481648759711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.707160372426224 0.690412287846687 0.744628909713597 2.6064454045267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0794035371390069 0.0583466690311203 0.0990337941677572 0.0592521195711276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.722230059538689 0.704722966573258 0.742086449066508 2.65838595283304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115947067790774 0.085663497728926 0.153921650380665 0.088848806961811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04486899459901 0.996272839237011 4.1305279830839 8.32917231011893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0821248582217505 0.0462370393406221 0.0480148615100386 0.0245900518729199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04529054558072 0.996314806401785 4.11972273650011 8.32013782091756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0832342367684712 0.0477475139720803 0.0503551325746438 0.037367294738675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04634072981745 0.996327715318772 4.1160650779896 8.31372665587085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0849433882226534 0.0484937594704729 0.0570679180660937 0.0395493496925219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04866479978017 0.99687058806607 4.11226306008997 8.3091050573047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0873366324798463 0.0510095760997646 0.0640108339251041 0.0476869642838413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05613036840828 1.00004684304547 4.09350403251007 8.29902597996446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0994308813345691 0.0587039230279984 0.0990313690073861 0.0743717703372001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0612664166895 1.00242114349349 4.06463208341099 8.26360270745362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108020878461033 0.0652109584935386 0.118378466597509 0.0900989890864865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04710979568603 0.996735820059516 4.11860732375547 8.31293445912991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0870223812206502 0.0493525531347576 0.0653959757689529 0.0326132513837649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05165856218103 0.998666201345007 4.11738622566296 8.31919278508846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0925793473008502 0.0528543957573054 0.0826634959186162 0.0482628428210434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05768396986793 1.00241307547997 4.11393264541595 8.33025108253772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100236404794497 0.0576786717488234 0.102606263934131 0.0615674948188145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07877108456813 1.01156031429386 4.00048881094756 8.24747012597987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131931651129248 0.0827975872041046 0.188467810727364 0.116509223654804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10220213839969 1.0211442919251 3.88207245776412 8.18033686159569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165363797074763 0.110767916765388 0.259161507331027 0.184434947439849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.44201539109446 0.416236955358019 0.563130923555279 1.27957300432599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0420534762785154 0.0256741771488102 0.0215424559453762 0.015441930677273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.443075941387326 0.41645094527653 0.563213217104384 1.27991269489855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0430407921779635 0.0265939478068322 0.0227143966521945 0.0163989094451921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.444859357510057 0.41679427915558 0.56565718326798 1.28052461534266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.044182993368907 0.0271935823870676 0.0245135205680038 0.0169768794636093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.448446867986782 0.417583869483928 0.572529410158641 1.28182604437249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0459242614745022 0.029323446875436 0.0261673597521793 0.0184189700184929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459874493407889 0.421262168106582 0.587371406808921 1.28959558806079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0542138032856935 0.0370237996788054 0.0366051878011487 0.0254181826975342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.471234904723326 0.424710802165633 0.601501606971069 1.29647555318203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0618069591272053 0.0438176309393053 0.0445232141369866 0.029929618698866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.444927092171185 0.417325447294813 0.56643342392533 1.28163169908016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0449288040019818 0.0278138012336596 0.0258043109921708 0.0171187955293232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.449165840133738 0.418691516206214 0.570580998625918 1.28405304592006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0478314469979561 0.0305314663441001 0.0294564272343182 0.0189504404438993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.457823556482519 0.42139177674387 0.581294121909324 1.28919327610744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0550124653618478 0.0371397098252548 0.0380831698891336 0.0247724850295846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.493103279996829 0.432121347381869 0.624136446062673 1.31084280542536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0821587277068428 0.0620012290699691 0.0677916834915911 0.0451620800603136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.524582376366518 0.441912918253033 0.65176057521674 1.32987617066132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114157618556414 0.0879910723327173 0.105075446832037 0.0717535636087583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.440646251041598 0.432699620522291 0.314941711207744 1.07170922073428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0320710042933538 0.0129193741141334 0.0297611879636137 0.00918182706153525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.441224523753491 0.433291690592602 0.315029124209802 1.07352194416668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0329806670884443 0.0138451140413284 0.0308647128536998 0.0102775572256666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.441851056276044 0.433671731773612 0.315714014366111 1.07413794977272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0334161828800608 0.0139786650463101 0.0313524777260465 0.0101248685999419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.442614742958428 0.434648645182172 0.317089225528491 1.0766565443172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0343536823870178 0.0150378514615927 0.0319442677220738 0.010803498129429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.446809013868432 0.438455746144795 0.320216304877495 1.08490551934702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0390155739714929 0.0199388456884272 0.0342967945402248 0.0134540351648494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.450050700828528 0.442184930323427 0.32253415468032 1.09245798926232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0451302432359248 0.0260640775103361 0.0377567121962852 0.0170802810354179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.442513222487938 0.434242006424473 0.316500431543722 1.07553913966051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0345264495538177 0.0148531715923966 0.0324272380358281 0.0109380273388918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.444359262423729 0.435927400564495 0.318064916827154 1.0795461518189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0358712241800506 0.0166653680345359 0.0327089272790457 0.0119125160481364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.448184104210734 0.43905757459872 0.322232494697693 1.08623219934102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.04066520826686 0.0204889175088335 0.0359852240553859 0.0137798038048079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.460387983581925 0.450258544974358 0.331278743786315 1.10969488107502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0596941805870026 0.0401749370380683 0.0469516102936929 0.024813379634905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.472536070915387 0.462143689085078 0.336061385513883 1.13748475182795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0816815332743319 0.0609494287227589 0.0656920495943796 0.0394189735775058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.808836863818091 0.833822862083798 0.648937879865137 3.1708735669819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.615921158030506 0.617585692145048 0.564308501670798 1.92009342700209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.808841938198591 0.83381655325961 0.648946967962833 3.17082173028839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.61583523885348 0.617440623913816 0.564313362062476 1.91941490643234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.808846872955059 0.83381114374457 0.64895564112192 3.17077639976805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.615840859981982 0.617610870878926 0.564322595173712 1.92021636836392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.808858495503796 0.833803044705334 0.648973304195964 3.17069956351096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.615897627366716 0.617622851538491 0.56427657590225 1.92027020928899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.808883912595959 0.833769617276748 0.648890089501359 3.17036637839151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.615983829445607 0.617742519334992 0.564497643603975 1.92076602248579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.809193716999842 0.834051246746113 0.649299871957834 3.17188155473364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616162218971494 0.617909218296502 0.56458733501967 1.92158991111941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.808917783861177 0.833859008781588 0.649084929137178 3.17112933850941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.615881204812845 0.617597089992747 0.564356678120672 1.92018381245187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.809024336796169 0.833913844324192 0.649301981506438 3.17150737428915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616749616379755 0.617918531064651 0.567427695830887 1.92182210051358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.809399216433744 0.834211813102732 0.650705151146043 3.17228928566256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616863261581697 0.618219076292937 0.567589819586856 1.92335654000999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.809059114110274 0.833896589729936 0.649756042346104 3.17028616312426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.618088436792367 0.61920708896404 0.569211943487658 1.92884514919258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.809117734473285 0.834311614173782 0.650497867481226 3.171914018707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.620308669169724 0.621470714091034 0.572692720324717 1.94134158388107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762600138569385 0.683133856451655 1.04902345566484 2.74564492617816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495550887729003 0.383852686561177 1.24939384794115 0.966541727311429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762588195526254 0.683134457063173 1.04902958603298 2.74565113415376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495548953072725 0.383857470367447 1.24938566207614 0.966562232697454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762575164880512 0.683135348628815 1.04903711548375 2.7456555398711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.49554677936926 0.383862212893689 1.2493786073046 0.966587494381646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763317641969046 0.68390863584927 1.04864010166531 2.74952829914658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495543116370868 0.383900231367141 1.24936856261109 0.966662784446438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763385113951653 0.68498908485113 1.04785218444744 2.75446183262768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495217313385052 0.384271515123198 1.24827388688819 0.967783705925006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763249025100166 0.685006621731682 1.04813545055594 2.75414384304307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495329189980701 0.384247404805576 1.24843099096808 0.968330037948071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762624724775826 0.683104682833005 1.04902203956988 2.74554575285626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495530454985248 0.383869545903886 1.24934930885142 0.966624077875582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.761967737850692 0.683252106455109 1.04861733410321 2.74607552153789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495200404108302 0.384214161786985 1.24824140059903 0.967442671549631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763192602474487 0.68350306489837 1.04843867698253 2.74779363057099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495269124219015 0.383934302504885 1.2488500502948 0.967178177588319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.764563014316251 0.684910820627686 1.04913096160734 2.75306136347079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.495113186212882 0.384203265942837 1.24949375084526 0.971055049459951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.761507813962333 0.683562907381528 1.05281019361609 2.74354695532571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.494975255584542 0.385326566725344 1.25366767393448 0.980537765879114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787607184209353 0.848486792600744 0.697803491200614 3.22644989026204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682828761656242 0.677769462556224 0.72103255673933 2.159609577911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787648629473426 0.848385027780399 0.697978427522848 3.22586257577161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682101921188651 0.677768557384093 0.719036675274332 2.15958968055358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787654405181118 0.848391268537356 0.697971629969602 3.2259047834103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682463362890186 0.67777003950407 0.720014694749252 2.15958224577293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787670367348878 0.848406559859801 0.697962967963288 3.22600489004289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682453885008591 0.677943214898893 0.720013059397846 2.15988380757469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787713387665523 0.84849465344976 0.698032935770017 3.22645138292412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682021686835191 0.67812468985048 0.718987062597323 2.16053449027601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787912446719126 0.848666672380065 0.698156292952796 3.22747426837359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682279267743604 0.678201453756599 0.719670002749239 2.16075912346295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787617395748923 0.848498432642422 0.697807726953886 3.2264612592842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682858750887746 0.677938421368418 0.721036458886439 2.15987368195097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.78763548210192 0.848515519176236 0.697829472773813 3.22650619267997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.68213795099783 0.677941922929584 0.719305972073261 2.1599638674258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787393327542239 0.848394163332886 0.697779361145951 3.22554127033076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.682313559051098 0.678252012187643 0.719837319442867 2.16072223519935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.78805226670319 0.849153805414538 0.699555757048307 3.22904139059695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.683292025748529 0.680207527367043 0.719783792084732 2.16874377210325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.790254746414666 0.850957042726218 0.701539218120888 3.24009016631422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685473085136514 0.683622308597357 0.721229698225114 2.18481844949139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381434362667775 0.397490196703859 0.121334599780417 0.77862044495771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122645226510893 0.125077734934461 0.0292949231824166 0.0738624954686284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381449858931479 0.397482523876144 0.12132523953717 0.778610932756594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122655610941689 0.125073525692867 0.0292958289761909 0.0738568070536809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381450671053839 0.397480741783932 0.121322727163692 0.778598437893705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122660765795712 0.125069523992767 0.0292979272193282 0.0738513202824379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381627320425966 0.39768417550832 0.121223878939212 0.779144327545261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122677057851056 0.12492845890781 0.0292894205403862 0.0737044911947771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381573346753036 0.39767340835954 0.121074604435173 0.778977404879758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122664772504596 0.124634167284368 0.0292863567860525 0.0733893766942307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381436391443443 0.397667595528697 0.120767962069393 0.77872965214667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122871017273316 0.12469425031467 0.0293492844822411 0.0735275964858701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381440848291178 0.397495136427559 0.121327355930558 0.778629513858167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122411270184352 0.125068147853164 0.0292454990931532 0.073862362866371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.38143419151185 0.397502301337654 0.121293308726474 0.778629128063413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122304548436687 0.12507708134862 0.0291774488023623 0.0738812343689893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381564359424299 0.397737881708642 0.121059381201473 0.77920993882856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122418239379523 0.124933082275431 0.0292178430702181 0.0737644897350258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.381132193834412 0.398225054954581 0.119409805237206 0.779713841368615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122755487801213 0.126540588981423 0.0296246872728875 0.0755720602116363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.379818282999573 0.398476119511223 0.11630787922109 0.778517880113315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.124168429010629 0.127464922396779 0.0305529957773238 0.076890349863901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763653709397917 0.767352838575748 0.546587781130564 3.07870108649491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214475662157462 0.207333707161402 0.151481388686615 0.25067358588569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.76365889799713 0.76734496347776 0.546594470031123 3.07865481854461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214452448672159 0.20732488755105 0.151461246007642 0.250663425325056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763663694601218 0.767335431967722 0.546594781706531 3.0785956074395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.21446980232713 0.207317549175952 0.151470092848635 0.250657082764353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763671747739488 0.767311687060137 0.546578256790141 3.078436885549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.21449484834684 0.207307267085788 0.151485770885114 0.250655339569262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763686729432622 0.767146652063324 0.546270161387068 3.07725842897198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214548271620427 0.207182132469878 0.151501213081042 0.250746957548415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763678538769102 0.766877478214044 0.545577306406391 3.07523725780241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214770821511417 0.207248031495739 0.151622594406065 0.251009506065129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762144608188192 0.765827011195258 0.544438408717193 3.06719381548131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214585043671113 0.207290245316415 0.151559794043124 0.250643941065967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762129318711171 0.765781716909266 0.544324286741506 3.06681218551916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214649460075297 0.207313821216394 0.151601515282741 0.250673303782384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762086951253853 0.765634349994144 0.543893036946306 3.06559456243066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214841168302168 0.207282231994167 0.151723347206892 0.250813277418526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.758871471443427 0.761544890629803 0.536489787502222 3.03534029135076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.216062360127065 0.208110575654709 0.152463432016519 0.253159052589427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.756663752084292 0.757700103027591 0.527845142727465 3.0055661259062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.218810735095638 0.209905888160711 0.153974399795711 0.258136015772755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140628795541382 0.149820200876711 0.019665494084892 0.115290990709171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0528420558865925 0.0488365345192699 0.00569793260261196 0.0114561663406457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.14062965165435 0.149818249464292 0.0196665616918133 0.115293126621133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0534088834681808 0.0487193020402728 0.00594733519056172 0.0114145449778218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140630871378709 0.149817385041001 0.0196671659576439 0.115295794328078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0531337799197619 0.0487143426271398 0.00585888543118679 0.0114154880380654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140634176426694 0.149818566269233 0.0196669874670515 0.115302521920916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0531608392193852 0.048705555120981 0.00586495649310695 0.0114179810969188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140660165857712 0.149844996424145 0.0196479164038645 0.115338358635126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0532925969332571 0.049245612177748 0.00589397309294896 0.0117889697379612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140708968854873 0.149910701190358 0.0195991318866817 0.11539146483834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0534782734479886 0.0487035591062806 0.00592983933416959 0.0113837203681645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140615052828654 0.149841443586839 0.0196667031622759 0.115307028802319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0528483569903681 0.0488323709545478 0.00570421189058869 0.0114481962893773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140607298301688 0.149867268394408 0.0196632305319742 0.115324271237495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0528639084615272 0.0488357615722111 0.00571160516164494 0.0114432905836244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140604925779842 0.149935712134722 0.0196424962682276 0.115364346925734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0529184795927341 0.0488674966623653 0.00572988833436366 0.0114434670486304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140800508156813 0.150425555143323 0.019387234002105 0.115598192489447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0539213148415183 0.0494611177918541 0.00598780549508252 0.0118156369539101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140167148051573 0.150149838713239 0.0187070440874365 0.114417262283122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0546151851051105 0.0508139535030251 0.00596518477963294 0.012406174834418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19038354355055 1.16609265963036 2.1006224954494 7.55406019003882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.887751560865548 0.848427517650885 1.97140364190829 4.3732973527162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.18989749771904 1.16590160545087 2.10021268645955 7.5514231161815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.887325214280215 0.848404424576475 1.96802817466824 4.37244371009654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.18990626934032 1.16590559513274 2.10022227167634 7.5514757204457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.886676110978656 0.848407230849411 1.96910180009656 4.3724436838692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.18983679139234 1.16582569993122 2.10044536737223 7.55086777486123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.886649829747998 0.848422043651344 1.96891174027665 4.37252279029063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19018273747759 1.16611379673607 2.10055386302573 7.55569925387762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.886874912499016 0.849375150035997 1.97192837826453 4.38251225475065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19038815019057 1.1668340260358 2.10047532257367 7.56130018797126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.887135144879481 0.85111833003123 1.97244540648098 4.39640243160395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19038048909666 1.16613455619336 2.10061207656964 7.5543526193039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.886682129138123 0.848479801806332 1.97125134103787 4.37380753089882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19034518989162 1.16614326294836 2.10072395320623 7.55434784390724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.885664686652893 0.849295806861905 1.9697341673934 4.37835039507512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19076715674943 1.16664850105429 2.10106603659704 7.5598177006495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.884707743239197 0.849943070398746 1.97224249996325 4.3833350092331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1898208924877 1.16663627608146 2.10317151750888 7.5551818383689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.888874910395809 0.852001655694365 1.98058785650431 4.40939886436699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.18869325363489 1.16449123765929 2.11058911383095 7.52652479630522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.892226844725659 0.854592823485991 1.98548872862806 4.43498626065663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21907975296976 1.23844760287737 1.10430772467737 8.23667585637835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.811251213496676 0.836870570756979 1.37342675234444 4.08710242482021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2194628002572 1.23884209516733 1.10472088448445 8.24112134220461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.810986585780504 0.836072932687152 1.37404844669623 4.08221974054536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21944522087913 1.23883613160809 1.10472580747054 8.24106433089748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.810687302900513 0.835941349047477 1.37348864211881 4.08044431772829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21940883194853 1.23882371487268 1.10475347181012 8.24091919921091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.810321058615964 0.835646032570273 1.37199263448959 4.07837083567788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21966627767319 1.23918866719553 1.10650981519356 8.24435348529811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.809650236495422 0.836059377159383 1.37138822010947 4.0805824122352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21916082753824 1.23874529895968 1.10796330894948 8.23926305706211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.809412163049482 0.8356162595538 1.37301880553118 4.07786988931515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21947334400767 1.23884086968137 1.10492751017676 8.2410702004462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.810553208216359 0.836348024659048 1.37230566102138 4.08254173086753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21946519502699 1.23883334809377 1.10519850567656 8.2408812969878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.810476920203274 0.836801092433064 1.37218286464102 4.08521343706452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21893754543925 1.23824721445025 1.10527551316508 8.23431082414908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.810979464725757 0.837227619338333 1.37384427585479 4.08818909900718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21868484773172 1.23805478076382 1.1109527543563 8.22685398043818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.812899371771115 0.839793459130269 1.38066560734484 4.1115093892553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2177093650843 1.23763090021706 1.12037163425615 8.2122758107804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.817603923268223 0.845021445102798 1.39552030512631 4.15800898950175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0862476069571 1.13054753688494 1.28420116403203 6.55484753087676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.878493649725493 0.88028146816387 1.541606583996 4.25944609192771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08740425920335 1.13168362575068 1.28547901634629 6.57305679365197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.878666201308828 0.88035266399686 1.54230217792163 4.25985797503092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08740698492933 1.13166588878831 1.28552559781249 6.57287695534447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.877814493947301 0.880266928748176 1.54051073929556 4.25936968473736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0874159872606 1.13163430144656 1.28564550372306 6.57253337849522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.877825119276943 0.880264027081924 1.54053229829326 4.25938882276799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08804963068635 1.13209167913436 1.29483722187446 6.57650954764348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.878314582540747 0.88074998206627 1.54119564640088 4.26371250882561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08821804114946 1.13206296046936 1.29625905082117 6.57558809341174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.879472993743569 0.880343870227987 1.54266507348854 4.26012045223339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08624144835598 1.13058781939126 1.28420686191849 6.55511819687004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.878515241012478 0.880327545294608 1.5415979536547 4.25976159926634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08624885258692 1.13063905577258 1.28430291289038 6.5554381073149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.877895003493959 0.880765297743121 1.54059528481315 4.26293852148667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08630592491359 1.1307751332068 1.28477508624546 6.55624221635201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.877007397465839 0.88106567353303 1.53843266178338 4.26515401433643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08599731544811 1.13060858825811 1.29030165446323 6.54286633569541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.880556371061639 0.883827061113801 1.54601290388574 4.28553631778039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08771920711444 1.13223809540892 1.30203850931785 6.55191875864151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.886818766930766 0.894859128781342 1.56389023843816 4.35013668813225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468837550567967 0.463969033953971 0.197251990237571 1.12801557849498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397936122136257 0.377683198368385 0.232235513043813 0.763050222020063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.46902167681033 0.463970978496387 0.196937605710098 1.12813040678317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397844260637984 0.377716225010051 0.231873573493563 0.763080088234543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.46901799166885 0.463971912257255 0.196937823514227 1.12813964689878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397641519420277 0.377662003954818 0.231514819545995 0.762924621794199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468882274441411 0.463841634885272 0.196782034601411 1.12772697969367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.39756742606048 0.37755152079638 0.231593874307507 0.763000314380302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468750276507908 0.463724083861136 0.196894910674436 1.12709175212259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397183949143549 0.377443465721998 0.230958932220328 0.76304284497712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468683919898451 0.463673996626066 0.196857428566241 1.12692153226824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397480704644047 0.377569507519905 0.231118925781205 0.763738425590001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468483105909805 0.463645820439263 0.197050241479751 1.12678403801994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397648364164785 0.377767154645308 0.231491718112748 0.763029031861077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468390244803326 0.463569493943205 0.196847804783529 1.12652737252497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397615896404164 0.377781119700906 0.231542587006743 0.763483920678476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468419918870645 0.463630266757853 0.1968438678523 1.12664119384375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.397325784679254 0.37817168672748 0.23086846791381 0.764125105601101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.468881788933175 0.463998445975431 0.197619197438476 1.12719703120312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.398256028074633 0.378955483225182 0.23133102441683 0.76678052217154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.469381754892852 0.464834042245404 0.199449785889422 1.12825767134007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.399436848910508 0.380136231748112 0.232471368169882 0.771623265133888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872746484384376 0.902348853191054 0.669621318861612 4.1279914722981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135775863673519 0.158367729729172 0.0821990448203872 0.147770632844944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872747379220293 0.902352665491753 0.669617745337643 4.12800495015349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135721296636596 0.158461785951723 0.0821420909239721 0.147836948594885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872667569407669 0.902280642314075 0.669666635866734 4.12753443615598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135646459726974 0.158440011592261 0.0820614273835801 0.147799205671511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872744598496751 0.902373123365435 0.669668744777566 4.12811962410793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135781293949374 0.15845300995245 0.0821967849524597 0.147801112564742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872377262500535 0.902135809992178 0.668731862385045 4.1259136952449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135858459614849 0.158683107786436 0.0821475056980415 0.148105853046508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872086278978471 0.902085434621438 0.666782901724968 4.12450329387176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135941392814933 0.158823187680763 0.082075290465385 0.148250340081828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872700968222359 0.902271967357091 0.669748922868931 4.12774236138214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135609296489249 0.158612005804724 0.0820025407908818 0.148107619186139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872962260619286 0.902516315609849 0.669593828120134 4.12954144590941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13561718510936 0.158589387365247 0.0819388730401488 0.148001545095314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872663919268555 0.902257813044013 0.668675688074296 4.12752836693887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135670607486372 0.158751991888984 0.0819032326050984 0.148307356996442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.871181178330137 0.901651262388824 0.658918170159508 4.1193018796423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.137308231447879 0.160629952179917 0.0829372308784718 0.151301983897121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.869035002056993 0.901377137672412 0.63956530679643 4.10799587143517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140007913235789 0.163614438629365 0.0843910218843216 0.156229816579238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834961621797445 0.759217033911748 1.03327020294427 3.48289205450256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162209890774932 0.134985701173396 0.225419671055906 0.126939828848882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834964696370279 0.759217741777695 1.0332464866076 3.48287689970537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162216961152726 0.135076980603955 0.22542238539595 0.127049042768462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834962279699856 0.759217545945039 1.03320204480085 3.48284910899016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162229332310335 0.135094411964097 0.225429822822597 0.127060334183584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.83484064701328 0.759122543044543 1.03313639902958 3.48226416683594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162214666918368 0.135179510563396 0.225434405016233 0.127182349272906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834544019278494 0.75907504947332 1.03168194691439 3.48142422861087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162528913881958 0.135313714594003 0.225726528281374 0.127377695743393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.83395691435661 0.759031887690026 1.02878071762314 3.48008277008208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162766784188531 0.135505642021907 0.225969667114373 0.12770059949061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834943387888936 0.75921910853718 1.03315691181552 3.48282278023015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.16218868729378 0.135120677111281 0.225449100267167 0.127115272497812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834970804075413 0.759309352058007 1.03272729618442 3.48314264664551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162262736125955 0.135095402100885 0.225521080096769 0.127112319593633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.835114252668585 0.759716287026747 1.03094638558463 3.48471926620599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162315451402608 0.135145108634623 0.225671116741289 0.127222956417485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834056465642365 0.761639266637075 1.01496869433547 3.48963763068635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163238374151966 0.135432975013865 0.227059094409781 0.127910326010066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.827795229232311 0.761351997888723 0.986922198790074 3.47715237528736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.164961998086087 0.136532999611138 0.229790634502486 0.131325551138284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987822954079667 1.0187428958313 2.27083980090382 6.97750394507927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102528799779022 0.147526183226754 0.0520219061768526 0.24442457304615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987825385686848 1.01873942887427 2.27080495061961 6.97746874575687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102592817234926 0.147601050821442 0.0520413845532396 0.244530731642679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987699905527281 1.01862310374455 2.27086306166089 6.9765952938455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102605783507716 0.147611645731818 0.0520545511237129 0.244555542338747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987914835634697 1.01881187189242 2.27047807798025 6.9779166062367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102702147330642 0.147570935916192 0.0520860370782879 0.244492292264732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987533439063712 1.01862792671651 2.2677618441906 6.97481669822914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10285237716759 0.147918124975649 0.0521512253352144 0.245133598901295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986292887759579 1.01769530658977 2.2598386158473 6.96077275914215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103085169193926 0.148673379997025 0.0522671919933412 0.246531988551795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987417844217516 1.01847764398149 2.27050971293216 6.9750731093608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1025096303597 0.147608069984392 0.0520199820433326 0.24450960380342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987411734033026 1.01860006697944 2.26956709140358 6.97544480702719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102506276130914 0.147684611550952 0.0520355705956605 0.244590292779898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986896234337282 1.01845105893792 2.26654062292089 6.9722391333048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102528849887015 0.148169526024023 0.0520500790119018 0.24542965570595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982639427012823 1.01678425467432 2.23792663799763 6.93942542878071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103288765087801 0.150010875570827 0.0523917362329268 0.249339944847072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975744006392251 1.01448123142024 2.18600705161616 6.88703754887041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104684913188629 0.153004937431621 0.053149691454016 0.256941139968828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.97601120090407 1.04996771908773 0.721920029859251 5.4532297664424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113502783657041 0.1757656530263 0.0502801944097451 0.165167409188867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975990067401482 1.04996723931455 0.721927164862077 5.45323659044325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113481216173626 0.175598932937467 0.0502723137619978 0.164876703248195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975555615035053 1.04955841684793 0.721781809242721 5.44993194636814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11354391568071 0.175553290335585 0.050321629909853 0.164855787406414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975368595169735 1.04943743054779 0.721825399155194 5.44905765324229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113656491807795 0.175551702970049 0.0504583578247784 0.16487199272866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974816728921178 1.04932452356805 0.720756557088461 5.44751931684008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113631149160927 0.176077435118568 0.0503481015428772 0.166068725700931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974694354741218 1.04997545489996 0.718862717974028 5.45148160989033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114326767500965 0.177047552056798 0.0509450497914463 0.168035735762402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.976013351039989 1.04993169588841 0.721833870377504 5.4528779025897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113403995616134 0.17546922229162 0.0501559373981753 0.164690180315815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975997019260089 1.04993950018101 0.72155621208744 5.45289841192549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11339178732407 0.175558894949613 0.0501531632572666 0.164977722954043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975372882876923 1.04948073047962 0.72024140073572 5.44843882654679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113158873364979 0.175996393224861 0.0497060289825444 0.165685446853075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.971877990956873 1.04875228821396 0.708989633008655 5.43519880160613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114546685570239 0.178780143274265 0.0500707452289947 0.169929903849789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.965251198962637 1.04774042973189 0.685834511610866 5.41169660246406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117198883452456 0.18293561612388 0.0503934840447688 0.177154853024513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84684444433556 1.79559200689671 2.59985065464161 16.7511778603241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342898199681126 0.513771583614652 0.724972288390295 1.14685728981944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84685822237892 1.79560273920687 2.59991053438983 16.7514221502608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.34292686146202 0.513794203316772 0.724997808773358 1.14689747091806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84685545063447 1.79560499609948 2.59989989913957 16.751486776552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342880756292123 0.513762398336707 0.724973958210703 1.14701162139505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84664629782126 1.79542855471415 2.59878281548814 16.7480155701538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342850818070615 0.513847128662383 0.725002319362907 1.14712137468037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84598966768962 1.79510911183835 2.59589409241498 16.7419274088032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.343043661931494 0.513896817437157 0.725924421762241 1.14779023599811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84467994322523 1.79454563972131 2.59110751500595 16.7320115799189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342818867353765 0.513835809166783 0.72544285307643 1.14881931251512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84728742390959 1.79607662915534 2.59994071443404 16.7585858861184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.34292609902828 0.513776755883856 0.724978615800285 1.14698952007837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84700866074463 1.79596041964304 2.59844419455662 16.7556954587512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342890076357493 0.514205294491834 0.724992470998142 1.15318956573155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84604223875646 1.7954203349644 2.59491733268211 16.7450333228377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342756676425459 0.514326112358719 0.725082566868893 1.15436660643306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84014133468994 1.79365587965345 2.57203809468078 16.7110159376629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.343212728679574 0.514744333389318 0.732954555386172 1.16322891316543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.82628403704611 1.78786857568641 2.5110647176229 16.5968183827057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.343765611492573 0.514809526839954 0.736014927649793 1.17886753915371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.55779568133753 0.599281110077199 0.267919096458347 1.80579574182426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938428312700397 0.114852988162042 0.0219704119211221 0.0667228755459014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557847869058523 0.599332757324233 0.267906709507182 1.80603383661541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938687232255441 0.114810807152298 0.0220259995806971 0.0665585746387097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557840636356704 0.599327019432545 0.267895127201148 1.80601028056423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938196235442335 0.11467328913347 0.0219560424945043 0.0665313736876459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557789522564132 0.599284984621162 0.267876567296168 1.80583246403342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938485822339968 0.114807515409717 0.0220096763723152 0.0667702479506521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558011121624896 0.599623270174537 0.267465990911553 1.80715325089997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0935873207383745 0.114729787592309 0.0215984448462944 0.0663800624888619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558001122200757 0.599861529569905 0.266938453187476 1.80796079661533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0936213948080844 0.115254741814482 0.0214457753862024 0.0669406919721159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557936174900805 0.599455160349921 0.267926082920749 1.80657366064072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0939034924657045 0.114958656678293 0.0220028773198505 0.0667567566035197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558185549662473 0.599759561883234 0.267896137980541 1.80792943366507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938085890050325 0.115008946940524 0.0218909292900573 0.0668636100151595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558387838335307 0.600139497986866 0.267612227138398 1.80954884821106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938161373630867 0.115188509569719 0.0217304830700997 0.0668894535688592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557827563394133 0.601201821719294 0.264107050886255 1.81182937854628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0953519356747101 0.117156667593432 0.0221049299293664 0.068431197574989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.555195291122923 0.601667788159318 0.256969107135544 1.8084897620308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0981399275223851 0.120585184875814 0.0228654444228788 0.07192391665215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304659123276957 0.302255830778711 0.145792057241885 0.520767509501671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273557684015481 0.0398505062486863 0.00393402692928102 0.0168186679422745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304637620602568 0.302248269018355 0.145788608484034 0.520760441533485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0272919471647878 0.0395180206268969 0.00392791666499797 0.0164208597375468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304681194222231 0.302308750103824 0.145758077384304 0.520893048117101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273341776773253 0.0399112702541242 0.00394404091237419 0.0170381965308523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304583339319725 0.302245867946122 0.145732244072914 0.520754483580418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273507732297784 0.0400452571542184 0.00394539328269123 0.0171128810647087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304338944601103 0.302168951101827 0.145455888438011 0.520520553994251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273406450427844 0.039364300509765 0.00392402669764251 0.0162315795791238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304093378280451 0.302089174164689 0.144842554857507 0.519903369791487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0274989233150973 0.0390813052040024 0.00394016100939532 0.0157707230988773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304789866769041 0.302450694853769 0.145793909701854 0.521226843893305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273964841849378 0.0398899619404812 0.00394672700067512 0.016830757410411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304496337531043 0.302225133961947 0.145751745169707 0.520646577304798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273563573074552 0.0398411580810056 0.00393856276258592 0.0166301359190162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304164883544742 0.302095006763176 0.145518916365649 0.520179084404915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273340378389185 0.039684288602495 0.00389074492959866 0.0165488357210542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.303250008707767 0.302419861862637 0.1428936389596 0.519167358787871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0282532420037302 0.0397845267387626 0.00397991128514978 0.0166074479533814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.302840705149782 0.303397598875638 0.138067511581067 0.518523804971499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0297262078132127 0.0401243702212639 0.00411395628361558 0.0155490467348112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269919282317961 0.280609574214138 0.171207652054618 0.493528043559486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0158259401378337 0.0342785868507602 0.0031996801687521 0.0167921608086871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270163540036366 0.280857990112527 0.171496943087519 0.494268629269905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0158153449255393 0.0344886629335792 0.00320090868833974 0.0170538619816567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269769068637849 0.280472041059549 0.171255347063183 0.493154232636643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0158039000353308 0.0345346969678103 0.0032021042257047 0.0170766827341988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269947752307733 0.280676295709389 0.171320851318689 0.493671939214862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0158274875363045 0.0343983309573903 0.00321088424003356 0.0169821908859869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270435439826903 0.281248328636355 0.171604333976461 0.495606308459138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0157862529527422 0.0345331822693561 0.00316293666896967 0.0169986788026162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.27035722344328 0.281111956305343 0.17092016420397 0.494808907930172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161224620986902 0.0352133011015944 0.00319438083300736 0.0174111866632452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.27008226868115 0.280849098307614 0.171748052303989 0.494803873154185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0158404804519176 0.0342837440644983 0.00320562912826596 0.0165815871426487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269812214809397 0.280635669699456 0.17144347655354 0.493901946694868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0159611398983242 0.0342783179550108 0.00322631382444258 0.0165068756826344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270584159871989 0.281516497403471 0.171538319831237 0.496070364857115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161580962930671 0.0344912644138507 0.00324768764784371 0.0165038436443299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.271585008657981 0.282223932389216 0.169014968852224 0.496494205652033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0177008954641152 0.0369765062497662 0.00329857983299299 0.0183437671057011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.273908970864187 0.283577228509241 0.164372097014809 0.497397111111617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0204748567745325 0.0397737664717308 0.00348006954488502 0.0202185132673085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8171833098067 1.71659999818763 3.54003537540122 16.0648660788869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500652685720643 0.481242524633965 1.34386518822905 1.28573652667463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81709596337596 1.71647250076946 3.54020134849096 16.0632568503561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500607148041054 0.481228276803994 1.34374057836938 1.28570953322893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8170531062083 1.71643553193755 3.5400751254704 16.0626860865493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500536336249557 0.481238711632596 1.34372993453328 1.28576802778743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81680022519291 1.71622907386223 3.54013542820158 16.0596574790643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500535578885074 0.481226703314655 1.34373325088942 1.28585078470899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81660972831621 1.71643091024062 3.53774816752759 16.0611019717539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500461665112177 0.481222648246927 1.34358993905809 1.28661648777409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81455620966416 1.71485211746398 3.53147357226402 16.0357379096639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500352958702864 0.481186884067726 1.34344332468204 1.28794731203762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8167354219365 1.71622143983908 3.53995560001113 16.0597606662187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500512839040574 0.481217939397523 1.34364720676189 1.28573363850955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81657469068818 1.71623075498583 3.53867804350737 16.0590010058068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500619302366618 0.48125318611599 1.34373624932792 1.28696551590962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81600714375623 1.71602915228218 3.53502387853478 16.0518514890918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500528173753654 0.481490403754111 1.34377818635256 1.28934269173718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81216857901221 1.71527186598816 3.50956387560446 16.0300916676006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.500766482709792 0.48174738007229 1.34446068018865 1.29501100395567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80120376984541 1.71027657414206 3.44677576904484 15.9207239061802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.501323781900883 0.483519016641244 1.34577316521713 1.31610113597928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0868145168662836 0.0872021757071453 0.0214049641747558 0.0534815284642347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0189233303640616 0.0236699253728381 0.00472876425773004 0.00870970727460466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0869489694683172 0.0873328585085791 0.0214452271831732 0.053614800143701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0189902269040069 0.0238277716139168 0.00474790138733602 0.00878923786332652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0869577497930622 0.0873381608466368 0.0214430295645463 0.0536174141689603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0188750460491189 0.0239805355954493 0.00469139900815662 0.00889141201080232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0869879927471037 0.0873790075215882 0.0214370415468199 0.053632643162823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0188100503983089 0.0235391943320906 0.0046613022427258 0.00860594795986861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0871503828566573 0.0876437903989765 0.0214197158195027 0.0537032110513164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.019353357992673 0.0239933334856527 0.00472533891961177 0.00860707768086135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0871012326245576 0.0877065240951501 0.0212675247289424 0.0534529864214375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197587361038689 0.024771567757485 0.00467441119039312 0.00868518621415769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0869821962470962 0.0873408864127495 0.0214168684179915 0.0536151584620393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.018941918607709 0.0236564871670572 0.00472631853553593 0.00866543257861759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0870399612190914 0.0874189588024727 0.0213739094360399 0.0535929025267094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0188260520629933 0.0238221660194789 0.00461938188419618 0.00870125575675372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0869264159304069 0.087429420153476 0.0212170507050213 0.0533677555699537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193744586946728 0.0239114378773224 0.00473549406399056 0.00846305025884629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0875841843897179 0.0886468328302152 0.0205001935246573 0.0530147956496659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0214039049694929 0.0263047956485865 0.00481277105779851 0.00845055027185907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0886612604413444 0.0899715562902174 0.0196260745341167 0.0525504569724755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0240084715697913 0.0289819317017683 0.00504825662425047 0.00860561085059625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7193439128885 1.72832251878282 0.977798101609273 12.9326726928249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0135656473599614 0.0659598491026793 0.00431367661567228 0.0643947738203298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71922611026032 1.72819372224671 0.978003533411921 12.9309617978926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0135802250419602 0.0658109053093211 0.00431350860270471 0.06411959255607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71901140672686 1.72799021556508 0.978425485090758 12.9283685654627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0136759038936662 0.0657115745522214 0.00434259311602977 0.0638616788975916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71870629152267 1.72776172832833 0.978829727480899 12.9248034764643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0139576541475755 0.0660056911479162 0.0043656190564845 0.0641694573126619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71588682272557 1.72574208350778 0.982278157014043 12.8936443615604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0166667102635238 0.0667403425461214 0.00473923127608275 0.0630509382807641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71352843620204 1.72448788124684 0.982821236175308 12.8695926376496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0198625800701466 0.0676268851728712 0.00510801801402728 0.0612523345022286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71883099867954 1.72802711139986 0.978611427230599 12.92897124308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0137799473497251 0.0657303492632847 0.00437644489869101 0.0638619519520307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7175017964117 1.72710986505901 0.980611136732464 12.9163083976647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0145924970927036 0.0666520646713216 0.00450724120811492 0.0647310017505205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71494822921245 1.72552333740682 0.983278606379276 12.891619882987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0169146968974972 0.0674621052676107 0.00480892382016379 0.0640003977025381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7078712975524 1.72400486776911 0.975685960899537 12.8454921433686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0286139423352597 0.0736033936285463 0.00720909587405804 0.0619380893042405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.69292787409387 1.7174450551466 0.960240532171211 12.7314837545329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0418277925574117 0.0826757049958032 0.011265399735622 0.0641383038677462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02775478105664 3.05385772312885 4.21651056610114 41.7469762159063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0759616466974261 0.108346473105775 0.0603827510521048 0.0795470279024434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02759600865177 3.05370623707507 4.21703326272433 41.7438134178356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0760658484615534 0.108361407859181 0.0605303930759643 0.0795731926167335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02764739199214 3.05378245335988 4.21642991295735 41.7452103781098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0758627985564521 0.108511285214918 0.0600518336000487 0.0797570443300559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02719981707019 3.05345136404358 4.21672240085466 41.7377055050905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0763394206377456 0.108676826441528 0.0609707276939791 0.0800388038236046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.0249315472079 3.05244721103639 4.21314473273005 41.7124213453124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0764280022567225 0.10926727581191 0.0600085343347504 0.0808552406615391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02114156503616 3.05124511059288 4.2052878695957 41.6801594754769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0781072161106192 0.109810675493567 0.0608892743398755 0.0817999671213998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02751256296226 3.05368577555244 4.21612011789917 41.7428345141556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0762487597778079 0.108409310539829 0.0612595498918758 0.0796072622300569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02684734547721 3.05332054144178 4.21467280317876 41.7333548104319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0766143573120004 0.108458033855362 0.061930557085646 0.0796091720297522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02442749488281 3.0521665528579 4.20561680824286 41.6992849369062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0777237682960297 0.108739226233218 0.0628650714870585 0.0801935352236635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.00619958771529 3.04793090975201 4.15998609510113 41.5742743368791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0827832503478617 0.112074453073123 0.0637959167521279 0.0853277462578823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.96876428674942 3.03897183936558 4.08035097915167 41.3125662628528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0916484915723339 0.120726329401121 0.0689277516971149 0.0975968505226659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488506031626092 0.497697261488051 0.012506332175408 1.00583394744954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0130830954700259 0.0168500213549521 0.0013576481943531 0.00148588409191229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488465817834664 0.497718093317187 0.0124945142165536 1.00592033653762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0130383105124597 0.0171129477891417 0.00136480126438466 0.00150767533910981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488422548534742 0.497737707087669 0.0124852865485776 1.00600355254532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0137751402926388 0.0173969407901779 0.00144970310412876 0.00153170774250295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488326987423843 0.49777332550409 0.0124745255815214 1.00616058928724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0147271168327903 0.0179948131080646 0.0015866862927314 0.001584700092813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487371593499279 0.497392365612223 0.0129224326510694 1.00501719329291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0211179682857568 0.0263968654242351 0.00306756007828285 0.00553041055564291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487014542073247 0.497563894966907 0.0130606161669129 1.0058244549062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0306080128919052 0.039200489139651 0.00634050837550724 0.0135176310764687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488461580074492 0.498044985653863 0.0124471904936126 1.00718861504457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0144208525162049 0.016936968620549 0.00153131037680998 0.00149957796670691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488388223989764 0.498377038402874 0.0124045545198896 1.00850325034701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0165324456735907 0.0171647832728128 0.00194031395488573 0.00152934333247151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488149890330978 0.49898964911725 0.0123707488095161 1.01099918042737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.024581715534257 0.0229993841788792 0.00413260221959533 0.00498113073735015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.484587450583443 0.497187417902256 0.0157453904723477 1.00553249936528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0504110485821325 0.044579687238652 0.0187518179467475 0.0145927746899952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482380959926819 0.494503448008866 0.0219966197917198 0.996737988541831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0828676047798825 0.0693660508580649 0.0497758228706202 0.0291544183741108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17579969483561 2.19800734525773 0.317198948399584 19.6519321302446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118647842038606 0.0375761474866382 0.125619056750707 0.0078590412903945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17581245737565 2.19802158437215 0.317225088271241 19.6521597159387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11837931856216 0.0375711256263813 0.125292114613172 0.00785391944549664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.1758066984183 2.1980294167407 0.317249230417689 19.6522780219476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118431549448721 0.0375807212622384 0.125231039749857 0.00785249730658021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.1756680092343 2.19796856333944 0.317161101315024 19.6510425864342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119072424829687 0.0377432410780678 0.125562018838439 0.00791291889457059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17467891478085 2.19767845985591 0.317222399408435 19.6459720034953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.121841018584844 0.038600373671779 0.127247158087592 0.00810417417871978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17248113987589 2.19697510350844 0.31714552793455 19.6338637344736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.121703390238271 0.040223286149205 0.125570490864956 0.00852163041652231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17566205645521 2.19770023127762 0.317367267096222 19.6463737357247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119256964003893 0.0375377329216243 0.125936281623176 0.00787568685789872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.1752593890509 2.19725611784868 0.31738618217018 19.6383299193021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120284071294213 0.037755805918347 0.12685931560433 0.00798404704217865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17410340991612 2.19636385072836 0.317738955290258 19.6227515169064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.121346094179232 0.0384895695865583 0.12736162344414 0.00818402769882522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.16099580292486 2.18916821804941 0.318284403634375 19.4999532303745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.129375906823458 0.0465205429074566 0.137182516122883 0.0107769167539555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.13683461389578 2.17884877570225 0.317250788960037 19.3270299598974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.138943955106545 0.0584428893648139 0.153556586506782 0.0157219333292798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46906226758031 3.52632729512315 5.01957845267501 55.3497687850605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0265260252820015 0.127811735454213 0.0118185440552731 0.0993228545317311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46915046349154 3.52642474604594 5.01923392800383 55.3521970784801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264069091827046 0.127882066278688 0.0117233372353153 0.0993076396185236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46910487508124 3.52640341031356 5.01913935926542 55.3515601567724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264094523873422 0.127982048267229 0.0117206058381277 0.09938006556061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46876795175754 3.52616214543339 5.01907870502532 55.3448569635549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0264413456384042 0.128177634254298 0.011774410138385 0.0999038476328444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46727135146383 3.52562047137807 5.01500106081338 55.3274684331369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0275599520447248 0.128638663047226 0.0118520138405223 0.100846527126962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46317362914125 3.52340355012387 5.00905550469733 55.2628472915021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0297275760537657 0.130247652165881 0.0122344794924304 0.105027881880978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46908847585372 3.52642979517391 5.01861369903291 55.3516041502744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0263670172997743 0.127902075939147 0.0117004096103315 0.099682382387912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46809297469733 3.52566868418119 5.01066292839719 55.3224100621864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0266794386797801 0.128129264570832 0.0117983295279346 0.100432319068249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46586936371179 3.52438894362511 5.00739374281913 55.2844515889134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0277954766367285 0.128428640704201 0.0118150043566456 0.100684504134518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.4460640102169 3.51442610183258 4.96784542941737 54.9822492196827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0370781480982429 0.134676826264986 0.0134770339870704 0.115443207481949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.40928578607045 3.49724345732745 4.9008235797857 54.468078062439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0486327575271104 0.144086889494107 0.0169583762066606 0.131417858318402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633719122130467 0.634542235743333 0.543979365498807 2.16166743343378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161653733229823 0.030751796382319 0.00506098596444469 0.0224905958769797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.63391825310596 0.634731007606689 0.543976942036657 2.16255151286832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0162737068093131 0.0308627439212171 0.00510785122094235 0.0225933263430669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633880975126573 0.63469308893038 0.543965218747588 2.16220899361067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0164081134191935 0.0309043662799861 0.00508706705667926 0.0225799609461646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633925021475848 0.634777081228771 0.543922472229084 2.16211667111946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0168999688891176 0.0312003515710442 0.00515209938273326 0.0227390698490451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.634227161370387 0.635583186757059 0.543384516553113 2.16225732408041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193090759887315 0.0330005304955531 0.00529410804945935 0.0228838490195128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.635098736567116 0.637134984434088 0.541980847941369 2.16476686856807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.022289686943326 0.0358131631846777 0.00552745371507758 0.0236224965196198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633682576113919 0.634497665547241 0.543971723138021 2.16103055711161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0167398570547487 0.0309734815952502 0.00519393851943574 0.0225035325986346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633958830643703 0.63490464845273 0.543818719308981 2.16180256138454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0176762168686012 0.0314828294673597 0.00530952766871173 0.0224535738993205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.634850897147633 0.636262446679972 0.543174286070276 2.16488973630627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197823796089211 0.033625399650994 0.00532366417686742 0.0228252865405036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.639045912183433 0.642642947242294 0.53611520296706 2.17770275923282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310872748135941 0.043799814449722 0.00747425645489321 0.0249339431885038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.642172094774125 0.647867199926246 0.522344653948745 2.18173410273369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0439885067625704 0.0563543123607785 0.0111922622125584 0.0292159394058442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96721544821871 2.01153986164301 7.30443659270742 24.1650398477596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0231502442747333 0.114582735110416 0.0144768989021043 0.174537478781847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96703844523399 2.01135055255024 7.3047747751722 24.1621814596008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0231027769510356 0.11451814929482 0.0144390133214414 0.172860745582567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96678601904199 2.01107990432301 7.30547423758008 24.1584106006894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0232174639778175 0.114568821043248 0.0147737189939644 0.172950445968427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.966482160972 2.01076550940021 7.30372330490967 24.1514597704828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0232269357185632 0.114688556246334 0.0144061199979813 0.173127320291031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96690353283559 2.01097634245384 7.29473441453005 24.1459814120653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0241147053100842 0.115079733988561 0.0131997879583426 0.171048993271324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96732228591297 2.01142890908689 7.27960739964735 24.1398757989046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0262854301083147 0.11636724398118 0.0137531867091404 0.170875841199177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96718398496621 2.01154778169766 7.3033194278473 24.1644094452224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0231956299946533 0.114783608156689 0.014562271232589 0.174898046152849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96680138454532 2.0112447650017 7.299025545657 24.1558060759044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0235626986425754 0.11502969177193 0.0145175457568492 0.176475431032268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.9671566979658 2.01170261347368 7.29025695478066 24.1562245369145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0248988672101699 0.115721236283164 0.0148645223170374 0.17655982687209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96367871305614 2.01086765540893 7.20311540701062 24.0802730403504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0330498073617677 0.122342239173368 0.0143590231973605 0.175305535994056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.9524834076737 2.00534038998737 7.03634255628952 23.8832268531753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0442912831673085 0.132606622079644 0.0160325673634993 0.186327750630011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16701832094515 1.16967119650029 1.53992120760197 7.01453132414668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454440466277274 0.0346281135580147 0.0337709881694908 0.0202897279325432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16733403081889 1.16998998226377 1.5403394095881 7.01791637704529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454130170470484 0.0345791001944058 0.0338012346163846 0.0201934065883704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16757056088927 1.17024074732165 1.54067256877285 7.02055396699871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454188240198543 0.0345042943930239 0.0338137877164948 0.0200566590774481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16772351732077 1.17044885745356 1.54052539143393 7.02223705643197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045507600787825 0.034802433675169 0.0338506525391854 0.0203999849187691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16773904839428 1.17103261603483 1.53940053260711 7.02499552658719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.046171366516635 0.0357116992149675 0.0337419013271396 0.0202173478800414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16804389177099 1.17230198435228 1.53708910032198 7.03233795866196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0484027144379837 0.0376290697043896 0.0347351599300334 0.0206764984693502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16696607105282 1.16963684386002 1.53981959887377 7.01401262789038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045541206429379 0.0346032665005968 0.0337859268895789 0.0201889122650476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16650534474146 1.16930534942588 1.53900824573644 7.00968693065822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0455810376240705 0.0345838617146082 0.03353156752931 0.0198481314279156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16652515097766 1.16980685417381 1.53809826702224 7.01218803569481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0470133315009047 0.0357525356559125 0.0343242093692631 0.0203628473976983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16301367184359 1.17095972217028 1.51911802264524 6.99684708751039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0552743921320202 0.0441596280816898 0.0366112876213373 0.0223097699919556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.15676103556231 1.17351142230683 1.48442706137888 6.9817553236982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0669417393630883 0.0562874969683223 0.0411860504801706 0.0272269081225823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17729077012882 2.18019026078299 9.56753465893996 29.2003771991551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0831746444661094 0.1277942716764 0.0645784203490346 0.137165949265475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17728428174812 2.18019709297503 9.567643938631 29.2007850561316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0831316516122827 0.127798493665467 0.0645356611670191 0.137204865424101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17719558688394 2.18010332073732 9.56760008639117 29.1994118788595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0831635631993075 0.127804546260254 0.0645630990314119 0.137228227378963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17756676068293 2.18046759558704 9.56662208081499 29.205558938934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0832593365194114 0.127931979409403 0.0645945385583739 0.137386038005474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17644954333286 2.17947734326836 9.54950317132482 29.1766477245817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0849362995354916 0.128209947523056 0.0706223102579702 0.137586360168486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17475397851676 2.17831088554544 9.5295306077689 29.1469034407632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.086201946547168 0.129155448301154 0.070807365453293 0.13841362188466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17721574220697 2.18013201314246 9.56706993528054 29.1992503847387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835794278804166 0.127742251745562 0.0673050617629898 0.137052094348546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17678977096075 2.17975896302268 9.56512357213161 29.1916782636913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835969480551483 0.127816314318976 0.0671799634331568 0.137194087601547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17530403074017 2.17856704243076 9.55456799615633 29.1638903268822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0848345126944822 0.128061890980348 0.0705280251138861 0.136847553865064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.16635503320637 2.17220577426293 9.44130616778307 28.989339966399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0897179563993918 0.13210565232379 0.070161338092349 0.141112554221977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.15257847129431 2.16172427050169 9.22209922192748 28.6890231798918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0979201169400618 0.139906475838347 0.0738150687734151 0.151451000484096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14814876303408 2.1751641775519 0.164396136704213 19.0922745083273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.173375557894203 0.0399185917283106 0.231406297556951 0.00781185226056919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14814368719808 2.17504491162338 0.164388360141437 19.090291059872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17209435008941 0.0398967713841979 0.228673563183525 0.00780175612672558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14811905865403 2.17491990376568 0.164380776225675 19.0882211050498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17187271784609 0.0398876070190573 0.227987809384347 0.00779532457450244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14800816506488 2.17465270162399 0.164363954876412 19.0838225099883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174860175571133 0.0399212693533202 0.233263152827967 0.00779630677027202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14676605121363 2.17335360876742 0.164281711057495 19.0627664490682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.175797502247172 0.0405412966794607 0.231785953711899 0.00794834904116898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14424299843229 2.17168394159425 0.164170846620649 19.0361596366759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179021968250042 0.0418147138776673 0.234915508638728 0.00832454897597622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14804763309996 2.17518884821305 0.16427357050396 19.0931542496311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.175579498184212 0.0400290670541808 0.235227202517375 0.00784528734760772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14774147178474 2.17514924324524 0.16414579692745 19.0930942051279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.176139469389738 0.0403173446940117 0.235338695203069 0.0079258318413185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14652300937727 2.17487598455528 0.163876897024433 19.0901435764487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.174430637069685 0.0412938650880812 0.230151161577271 0.00820785142139799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.13408391844357 2.1714406279946 0.162809559109353 19.0458317604169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.175191199912313 0.0487911232488398 0.228407151950731 0.0107263749860659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.1099125290931 2.16476141130941 0.161309238619414 18.9538876790263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.187798236300858 0.0624683983463928 0.255835690802597 0.0184735752436575 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276733927230566 0.067848297521995 0.212697126867855 0.0568757819899913 NURBSSource NURBSSource 18 180 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.274146602609901 0.0682854200480288 0.220772561520295 0.0353360832839662 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276727414119439 0.0677890700776666 0.212693567511955 0.0568579656226182 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.274171458490641 0.0682133220082831 0.220820168378399 0.0352722337895285 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276726727240205 0.0677352948464626 0.212694558264661 0.0568420371479039 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.274200197652985 0.0681436383720452 0.220871344381135 0.0352091262838667 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276741098263888 0.0676379134198256 0.212710071049051 0.0568142271534297 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.274266029220813 0.0680104679408181 0.220984078660373 0.035084890695606 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.277945422508407 0.0674852401480067 0.213372555297118 0.0567743028904527 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.276258264523135 0.0689741112968246 0.223307071088684 0.0359567851899899 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276371955461399 0.0649506342618868 0.211212745702186 0.0518395685653945 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.276868092607919 0.0684866566568753 0.224139934265996 0.0353950928264425 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276656766887368 0.0679820792538595 0.212525454048245 0.056909569591113 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.27395381237401 0.068319863316398 0.22039469869405 0.0353574337770702 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276637911724096 0.0681520809865985 0.212401092848843 0.0569584292277464 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.273795386387775 0.0683913721461274 0.220051798666768 0.035390405152419 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276859231444963 0.0689092337287625 0.212009796653951 0.0572909350958698 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.2735028368564 0.0692505098960098 0.219151203223791 0.0360738896833394 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.277711181382457 0.0694543472283839 0.211004536950195 0.0535365298830928 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.27635260864237 0.0723038829469422 0.228032945054668 0.0380860658310142 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.285283847612934 0.0744608899749113 0.216674784353536 0.0557753538224489 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.279232753113345 0.0741364234711791 0.229635640802232 0.0369613785406547 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.340705706997721 0.211297063206113 0.140906039454768 0.299580342368622 NURBSSource NURBSSource 18 181 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.207726263302077 0.0820298614289187 0.0237110088825549 0.0310640958589712 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.340740949466625 0.211280225787006 0.140902560603182 0.299524113407318 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.207722863395155 0.0817337644984016 0.023645678897691 0.0309920023305851 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.340781393307411 0.211262843571247 0.140894719729394 0.299468973333128 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.210695930657592 0.0810295466993946 0.0250224795355539 0.0303912771198692 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.335897223196416 0.20713189614385 0.136686978435496 0.289268437550079 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.21009639423405 0.0809392450792815 0.0255973907324163 0.0303933719594362 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.34096791298833 0.211623086690616 0.141043101002558 0.299094829832044 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.213028276737822 0.0802676557306601 0.0272698456713646 0.0297652581493843 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.339976532012725 0.209858249964124 0.139475831394388 0.293204136847499 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214152490516292 0.0803934936335803 0.0275730099494535 0.0298976715466623 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.340564519623626 0.211177747279655 0.140964904427689 0.299332985599699 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.206448116665273 0.0819758530973244 0.0227477202899789 0.0310488874379275 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.340475388260849 0.211106007986068 0.140726333472715 0.299066493274652 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.206664754035681 0.0819354408729106 0.0234738563169088 0.0310803938409675 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.342648270321985 0.213281698814428 0.140882942478099 0.303149911621208 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.2094680838511 0.0824432121612498 0.0251369681436541 0.031678257610804 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.339511832543353 0.208412579472251 0.135532187819817 0.285638770858467 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.209410985211789 0.0792294134207385 0.0243206618100334 0.0300651217400046 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.349025482102324 0.212662819007545 0.136996170573632 0.286110996259673 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.213627102558052 0.0797260208096107 0.0245789833945135 0.0307000989033201 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06688270730289 1.1551370093026 0.238786099982245 5.69969600326811 NURBSSource NURBSSource 18 182 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113274188046099 0.220668295192578 0.0253951062883368 0.22465743951592 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06685908197975 1.15516689193589 0.238782648114388 5.69999007771202 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113258461613667 0.220687231405015 0.0253911414430369 0.224677890578243 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06681407320933 1.15520372894028 0.238777832915845 5.70034523132302 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113241965459015 0.220712237779633 0.0253868190648034 0.224711864861055 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06666369860317 1.15529700258337 0.238763148501662 5.7012272389389 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113205779028945 0.220780716906938 0.0253772913171077 0.224818683495054 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06525761141412 1.1559354989647 0.23865686552939 5.70708443149256 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113041578755538 0.221288132087253 0.0253267630342124 0.225751604370202 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06307391737451 1.15727672807576 0.238180796183418 5.71863739868795 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113664573965672 0.222708253502483 0.0255476300539801 0.22850423614902 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06742938847752 1.15324471557351 0.238920691683138 5.68110360288049 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113568165111352 0.218547627564948 0.0254754737249139 0.218505616586443 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06716865209532 1.15325931798178 0.238821153651015 5.68125085269647 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113682083531659 0.218729717963285 0.0255193648739018 0.21887187343114 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06539739674617 1.15243160751366 0.238829274697209 5.67357899066763 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114002712074009 0.218696384276366 0.0256396374846904 0.218905998562066 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05242273311863 1.15587113033037 0.238294680566083 5.70436298203582 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113482694937842 0.222586194077772 0.0255087179438386 0.227323628150852 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.02843932428342 1.16248344026054 0.237003651381224 5.76324101054853 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.112375515682504 0.229649137065967 0.0252946219858411 0.24318640523997 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.118993212354129 0.108050551049504 0.0258492717380396 0.0743976278514279 NURBSSource NURBSSource 18 183 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0773084375138826 0.0431136594089488 0.018834377163013 0.010636497848001 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.118992351320283 0.108048253305496 0.0258444220554621 0.07440616987347 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0772944442191992 0.0430989310999523 0.018818828272592 0.0106305152593164 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.118993680281081 0.108047152739383 0.0258390515673619 0.0744154261390172 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0772833494864741 0.0430891306344313 0.0188041883203917 0.0106256482317577 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119002233248377 0.108046598609517 0.025826576297733 0.0744352816856006 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0772491751142 0.0430756966222022 0.0187763969969276 0.0106232691856481 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.118836957353581 0.107604053512126 0.02593221333983 0.0740697174279116 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0767000712824719 0.0429119720561444 0.0183368351199419 0.0104781869781747 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119226595328971 0.108068967360089 0.0258034267511834 0.0746034513614215 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0767478180296007 0.0431327362027591 0.0184209158945336 0.0104677495308957 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119058970806504 0.108088423562405 0.0258053527055961 0.0744407500964355 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0772920731991033 0.043009704435404 0.0188014479908141 0.0105732656116955 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119143463337495 0.108139761108074 0.0257543113396073 0.0744924195325847 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0779707401698809 0.0429298090619288 0.019163923777345 0.01050178288256 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119378523362338 0.108276637540225 0.0256315049719801 0.0746190684931266 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0777583586929618 0.0433557464852982 0.0188401267112596 0.0105546971416067 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.121536916630177 0.108732143411907 0.0253478713359067 0.0748812900683258 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0791301785819862 0.0445455162399475 0.0189883978070183 0.0107033247318932 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125546695940844 0.110470984985969 0.0242276053074264 0.0763500454470955 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0820466280122993 0.0452530765736219 0.0197111440532435 0.0105970448496312 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308064095615498 0.307365962121201 0.229702770303839 0.65635718111566 NURBSSource NURBSSource 18 184 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0983155085247625 0.0765976756907103 0.0617477375294674 0.0481182997145606 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308065469508261 0.307361277952605 0.229659787280876 0.656359767800698 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0983426424056974 0.0765943745968689 0.0617654152801835 0.0481337366961295 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308066501204536 0.307357777039838 0.229612528904401 0.656362977996563 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0986216834945876 0.0767793466039118 0.0619159138675404 0.0482314707226732 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308065912899095 0.307353202119313 0.229503806887918 0.656369067315848 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0990810431843068 0.076603253867569 0.0622779401351578 0.0481830653680701 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308071168045337 0.307353231567917 0.228889608338434 0.656376535119229 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100104857652411 0.0769947712430343 0.0630152952419488 0.0484116903729509 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308062175179643 0.307393330646561 0.227989684015998 0.656369258288935 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.101416720823581 0.0769545309791095 0.0638134132966176 0.0485641947560857 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308342505674651 0.310124479508749 0.229314413948163 0.668395594925341 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0986724736078626 0.0784242263666254 0.0620083136864663 0.051278152275501 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308308231992651 0.31013407454953 0.229104782194845 0.668261074176463 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0984548471048463 0.0785244659363517 0.0618441405785917 0.0513442659130383 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.307524502692393 0.309414422525662 0.228594343237193 0.666173850819881 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0975717373029542 0.0789816420256817 0.0611286559286764 0.0516029389735767 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.309169640010715 0.311841299722732 0.225191503648348 0.669622699984164 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0980927501099404 0.0784550488182018 0.0605089456988982 0.0511623587469899 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310121514325318 0.310673585959002 0.217694371456362 0.654140855538515 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0988866431619888 0.0782383469796055 0.0599332490235523 0.04843102341178 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222503657077419 0.0631332598141472 0.0695979171104879 0.0367254127547714 NURBSSource NURBSSource 18 185 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.220945493094084 0.0796881133724185 0.0546247583041529 0.0530017641260455 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222502852420789 0.0631305088486459 0.0695919511739883 0.0367457350514446 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.220948710592897 0.0814464101299589 0.0546265425639061 0.0553469451001403 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222971543889447 0.0631024197693616 0.0696420735742038 0.036724816512578 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.222821250771208 0.0813304567527215 0.0555335734349853 0.0552520516493052 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.221859631066038 0.0619190471327877 0.0688583260324237 0.0352523556095691 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.222187380767568 0.0811156158886759 0.0551520697377176 0.0551779758844738 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.223718928372853 0.0628702659221784 0.0697190715578393 0.0364229821059522 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.221193952668736 0.0803742685206666 0.0548035287491972 0.054937993087431 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.225347189630179 0.0627397116987261 0.0697522165609245 0.0364303677567879 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.221925485591357 0.0801859804881365 0.0548809495093629 0.054734488467375 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.224317298436373 0.0642140385026201 0.0706565024408246 0.0379112602977684 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.221555108907371 0.0793430717911287 0.0547990487588076 0.0528394030369978 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.225737518509343 0.0652432070152757 0.0715131650095754 0.0390039242503502 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.221633633167166 0.0796860676981354 0.0548210189764728 0.0529951456371668 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.227947187662147 0.0663367155108213 0.0725326823115096 0.0401941230107701 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.221546074473484 0.0800099764113823 0.0546778438125905 0.0530393961563625 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.238542500877199 0.0671772091238937 0.0737354212710765 0.0405901023862187 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.226659341316001 0.081337867739809 0.0554416265611436 0.0527063460386576 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.253343700373561 0.062292732753111 0.0723166391027552 0.0336600023360909 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.235718296907774 0.0865546204198193 0.057259952723478 0.0570191849373855 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222201348447691 0.154811863516044 0.0889740889558214 0.193351228796369 NURBSSource NURBSSource 18 186 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144502403022881 0.0553999696029795 0.0228658735152314 0.0162044056283201 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.220322624314533 0.152887717804795 0.0872090160886714 0.187990477599779 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14452149367939 0.0553913976371616 0.0228700108264471 0.0162067206241644 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.220347639625124 0.152894165985458 0.0871882218882201 0.18801711793913 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144480093132958 0.055235322739851 0.02285308818527 0.016185005731683 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222480905782441 0.154954968597582 0.0892664246345185 0.193971811586389 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144505178677161 0.0552181760902967 0.022854537817324 0.0161498275029865 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.220852938007215 0.153369469593268 0.0878323784793451 0.190615257541931 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.142608911745508 0.0540472423888284 0.0217052392850628 0.0155403748528038 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.223700082627836 0.155165090945221 0.0875398146301341 0.193801846968989 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143762499009126 0.0535143054950024 0.0220798409434409 0.0153486937011666 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.220951767516296 0.153622683224848 0.0880047793734648 0.190034777731855 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145277457433169 0.055033430959301 0.0232344847462404 0.0160296317607205 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.219507568090217 0.153726848964004 0.0872497774021446 0.190537573217532 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143444642595308 0.05475913031445 0.0220007942890926 0.0159239808439367 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.213535716607394 0.148189369634818 0.0794792124011535 0.175604902113923 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.142888403156466 0.0546233327957233 0.0215620169146256 0.0158331727295507 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.223683366177975 0.152817283026512 0.0812803220979211 0.181538104286248 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145109638305296 0.0559774573342946 0.0215780604138351 0.0162225057186889 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.252349932286111 0.16969064940984 0.108432935052537 0.221971220403269 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.150648597441836 0.0587735431676479 0.0224717130777743 0.0175195541130269 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01929848991117 1.2510476294218 0.0415150807688068 6.56527624152293 NURBSSource NURBSSource 18 187 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0809297589555573 0.330604495425107 0.0541301633196139 0.668090942291835 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01930964240219 1.25106658010605 0.0414780467859078 6.56545962917503 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0809124626199478 0.330568746677965 0.0541094117029804 0.668072744589016 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01930547828792 1.25108752051472 0.0414404425409783 6.56566433541615 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0808964219030798 0.330537495255533 0.0540893711658081 0.668070880118856 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0192555909423 1.2511354158689 0.041364163777072 6.56613757318671 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0808661596412944 0.330487207318547 0.0540509769356622 0.668110961635676 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01852772895278 1.25140735020816 0.0410535658271675 6.56888755489959 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0788909406444618 0.328076306963882 0.0519030976085375 0.661150020277913 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0169653836685 1.25163737698122 0.040736484696017 6.57068765640094 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0788180076852164 0.328181169856756 0.0517356641298049 0.662019472339962 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01916274897905 1.25105215070693 0.0415892144148576 6.5653408440631 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0837442185892313 0.332528667124959 0.0579040570582126 0.673673503494941 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01887039546696 1.25107884093125 0.0416671135224202 6.56564115423656 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836638651507525 0.332742808914543 0.0577239897175999 0.67420174731208 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01781812599937 1.25119854064326 0.0418315649119068 6.5669472561666 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835239815849095 0.333296660131299 0.0573815643985686 0.675725101793203 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00751128947357 1.25221566814174 0.0426945962233492 6.57693018306518 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0864139564981367 0.337277846800101 0.0624598770490647 0.688248541867081 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987613213886095 1.25492441439726 0.0442062145331001 6.60591416175742 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0871850954244402 0.343671356015117 0.0640871540234835 0.711182294149266 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27633768298334 1.49219482338867 0.0711458571815567 9.2253761147896 NURBSSource NURBSSource 18 188 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0422470654083628 0.281269301286305 0.0121901129496668 0.44594222173056 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27574396355266 1.48916887853398 0.0711043705482307 9.18466153498762 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0422709730170294 0.27863499895806 0.0121755984307257 0.436820128616902 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27564242641528 1.4892109302187 0.0710727370371821 9.18515487840939 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0422714691448781 0.278616680356994 0.012150888818707 0.43681202850746 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27538894721354 1.48929220146682 0.0709974203109066 9.18611074815269 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0422969926809374 0.278590219516392 0.0121161569082485 0.436833015899 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27370914308858 1.48958003746763 0.0705393213709428 9.18952900333059 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0422146319147635 0.278622537219252 0.0119507517962223 0.437412171269334 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27096905707092 1.48980904007799 0.0698388859238655 9.19230738004968 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0422064147841976 0.278893626034306 0.0118662360954718 0.438809011016416 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27580641249883 1.48915595244376 0.0711458127297687 9.18447842482966 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0423917193917982 0.278774670148158 0.0121732628584068 0.437188337609937 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27561565858561 1.48917803242865 0.0711270090006287 9.18471334235558 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0423261950298683 0.278933387389157 0.0120887803911676 0.437674780842795 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27462074521491 1.48893322548566 0.0708690358037748 9.18123948257714 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0422928605857944 0.279243489408102 0.0118875274410477 0.438559477805537 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.26466984150585 1.48456924857193 0.0692799966437061 9.12604627494667 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0446590927533062 0.277722886157072 0.0123401222220169 0.434846106681156 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24391099172057 1.48399866855146 0.0658008060494118 9.12015036005193 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454131361927938 0.284851554997371 0.0121597418642741 0.457495249620251 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12890555012729 1.18619832070192 0.599929017960206 6.43769870452745 NURBSSource NURBSSource 18 189 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104110393282284 0.16452418004488 0.0459774577776881 0.142556521062645 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12888930650894 1.18617199134046 0.599872763161976 6.43745786051413 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104601729472162 0.164558465063653 0.0460007696928949 0.142587746751083 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12886337030188 1.18614309000698 0.59980611915804 6.43718768482042 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104003546426488 0.164592431581389 0.0457801046248085 0.142622098379505 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12878190002398 1.18608070401116 0.599642911113377 6.43658335265077 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103980270729739 0.164971162819035 0.045786370454949 0.143055871262006 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12847025350136 1.18620971405723 0.597953058400162 6.43650930899061 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103370510021445 0.165274880227657 0.0455426362082278 0.143495559141344 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12651653019468 1.18514565598899 0.597073224326631 6.42669040371859 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102102263291675 0.165764782659394 0.0449343116740443 0.144330931801694 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12876428993898 1.1874797082677 0.599373019564147 6.44989153073237 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104814792267691 0.165261728124915 0.0461218807545311 0.144162816344362 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12862435420218 1.18738852020757 0.599481127848932 6.44864085875958 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104926351641966 0.165027240341559 0.0460816106876047 0.143928744383276 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12762551546572 1.18668683331587 0.600207209303951 6.44188669638932 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104660545178494 0.165051399055876 0.0459279661752608 0.144073034701518 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1196672125439 1.18257727271489 0.598251984131039 6.39902273053474 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10219736209594 0.166614399855105 0.0415217307277681 0.147424198982726 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10597566291883 1.17847395769012 0.587855409053645 6.35242230343719 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103517820037466 0.168437200504709 0.0447241833270223 0.154255158558787 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.237827694113532 0.0436168360548005 0.175753859237177 0.0112737823751451 NURBSSource NURBSSource 19 190 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249812079103841 0.0728862546944082 0.214516112531526 0.0499540138003862 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.23785209502826 0.0435731387330789 0.175748827721675 0.0112585693779248 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249834588111978 0.0728569018116031 0.214514721403684 0.0499538114862205 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.237880268023287 0.0435311765457166 0.175749120449689 0.0112442581378251 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249859866402021 0.0728095357022867 0.214516232032871 0.049946620358879 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.237948769194054 0.043452909709529 0.175767552700334 0.0112184304133368 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249920037107491 0.0727565382791262 0.214529731500993 0.0499490847201908 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.238669172988039 0.0426965632384792 0.176303707973471 0.0107425859842822 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.250607224188166 0.0720769954414704 0.214967850242007 0.0491649632507913 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.239449767860201 0.0427342867895103 0.177001827037931 0.0107368022054682 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.251165773474906 0.0709486987521611 0.215372579714377 0.0469722445965881 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.237709060909259 0.0433517971909446 0.17579221176599 0.0111662684461623 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249622523313647 0.07269191849008 0.214501342137 0.049770415967058 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.237626750313386 0.0431109771698005 0.17587096410161 0.0110691974122942 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249458014485131 0.0725126024901839 0.214513472367157 0.0495938466447824 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.237892731603951 0.0420563081545497 0.176359288172572 0.0103554047251254 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.24953114655096 0.0711937378518448 0.214852775695959 0.047148362456539 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.239565190710705 0.042248876151407 0.179221448923695 0.0102549313248768 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249901724007759 0.0703997936665264 0.216376518018263 0.0459861762460484 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.241989161998603 0.0448653702753205 0.182852176672744 0.0108948934088737 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249914723097047 0.0698978376438571 0.217851404095924 0.0441232490949098 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.352696339388279 0.214603630656357 0.145388543163745 0.320726892730114 NURBSSource NURBSSource 19 191 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.225939187817702 0.0845286726788904 0.0265446840991035 0.0347066372473888 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.35270904130188 0.214651239929945 0.145384764214224 0.320785080265047 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.225004347630677 0.0853074878303617 0.0262313368821396 0.0354496017012313 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.350618416533146 0.212741630643054 0.143854623833369 0.316280072428947 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.22502642574185 0.0853541873292509 0.0262295557162275 0.0355185653445379 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.348806630968385 0.211078957575791 0.142979877666761 0.312507033233985 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.227444728201548 0.0843764170491943 0.0269887122049612 0.0347040487779295 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.347172377760298 0.209845933608029 0.140955584309114 0.308507370198155 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.228362668143626 0.0832136990247618 0.027126975151021 0.0337678699815089 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.346197911669147 0.208713055949728 0.140245359605895 0.304078077099198 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.230243514376858 0.0827323918220656 0.0274738988194998 0.0335881483118984 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.346683345922082 0.208688062973429 0.14172795680676 0.30739438750176 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.225414742294347 0.0851589443164177 0.0264002068087626 0.0353535142975584 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.346018200697246 0.207364367662385 0.142649723682279 0.30448221091488 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.223293588335875 0.0848965601151668 0.0259504904541024 0.0351537838160881 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.348208363216182 0.209409458989228 0.143521648517581 0.308015931665775 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.226644483128609 0.0823640846663161 0.0264919089995694 0.032896051854876 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.369673486283206 0.229399742369561 0.154664007430818 0.345894353891363 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.231319646313983 0.083286887875055 0.0279870012328364 0.0337478607593467 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.385217499797727 0.239428551759889 0.157210391733191 0.357161611420092 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.237902332501802 0.0840732822191507 0.0314615307702363 0.0344475646163473 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12393853270698 1.21917971060778 0.219050891995204 6.29725080949063 NURBSSource NURBSSource 19 192 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100236286278933 0.213359217890953 0.0244348497125755 0.229116867991192 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12398207482071 1.21917805668209 0.219094819128293 6.29718686859888 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10018663487463 0.213241259326106 0.024433061852415 0.228947215944716 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1240095295972 1.21918047957821 0.219140407457634 6.29716016487757 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100139770474601 0.213127238277067 0.0244312257102638 0.228787836417951 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12402094410891 1.21919657846777 0.219238046764739 6.29720987616396 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100061351819226 0.212909312153366 0.0244279763690963 0.228495523390032 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12351119465389 1.21941193009106 0.219709756885974 6.2987919149252 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0998099923797115 0.212197360536166 0.0244155532318702 0.22769492770703 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12209916414093 1.21986755243462 0.220314255822326 6.30257904154693 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0995433334293191 0.211785895675198 0.0244004890625047 0.227520118008303 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12391528145376 1.21918329439127 0.219012761012773 6.29717420295527 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100194264910589 0.213404742802576 0.0243565939074014 0.22918918109423 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12372654076662 1.2192420798549 0.218999975455673 6.29761288972646 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100209053359965 0.213493114354931 0.0242797797523494 0.229361382781278 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12337021325417 1.22047092659552 0.21885133739877 6.30922373628873 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100256522224757 0.21443010896149 0.0240875250369997 0.231182595096649 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.11324199160307 1.22383546983661 0.220082942281901 6.33995251708235 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100545421375561 0.217508767563478 0.0234866783434747 0.237999881990019 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.09096706740503 1.22672169144101 0.225319385701303 6.36044687368109 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.110252826301002 0.219981946102624 0.0503468757319069 0.240262311485294 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122759998252046 0.0894637741335321 0.0257327852534158 0.0586834001664711 NURBSSource NURBSSource 19 193 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835721410010364 0.0424702692457519 0.0131518160895317 0.0144270346290319 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122813579054205 0.089468437802711 0.0257259333333126 0.0586801502456066 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835780696676078 0.0424883456222027 0.0131525891192189 0.0144383996681936 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122871122319808 0.0894757806932538 0.0257185967321638 0.0586777785223566 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836020454714548 0.0423872068471026 0.013135756021138 0.014417856881977 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.123411409766281 0.089897260711502 0.0257388805741172 0.059004033877164 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836518363453451 0.0424105691230159 0.0131037217448496 0.014434600941818 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125542436406147 0.0913995904032992 0.0259681530363434 0.0602590290155037 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835523368829982 0.0427308616006058 0.0127427571111492 0.0145486730908967 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126877692454041 0.0918327331381482 0.025850466460308 0.0604796966199758 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0839773323967102 0.0440961223692462 0.0126653700049208 0.0149012584889355 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122010261439623 0.0887642644578364 0.0253878498952531 0.057891343851374 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835708024233182 0.0428744409783959 0.0132075131795548 0.0145551735075984 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122098226197041 0.0888097093135998 0.0253942965571116 0.0579101976267466 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836105804760266 0.0428594512318196 0.013251389297556 0.0144470684703881 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122831813805757 0.0892429499840202 0.0255284303566919 0.0583304683652231 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0832878624520233 0.0420042948639282 0.013086723465891 0.0130532243666258 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126171139238766 0.0891746105326301 0.0254926242757488 0.0579029251846823 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0847145567247926 0.044169999053166 0.0133664874110876 0.0146219862646632 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.133827428718226 0.0891456902867196 0.0260135684368873 0.0574051568575489 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0884845583952415 0.0457069344953771 0.0144911755584146 0.0148723427013917 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.338569073755538 0.321452134987847 0.260219476045942 0.718061821173987 NURBSSource NURBSSource 19 194 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103157088727031 0.0649873832354769 0.0469637016197243 0.0324558102205397 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.338557359384612 0.32145905037059 0.260243231954675 0.718147511393413 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103122670153926 0.0649838093885933 0.04694140223819 0.0324716470926734 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.338212754364305 0.321084483053607 0.259994382819998 0.716958644257623 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102798364577991 0.0650950660442118 0.0466288277139048 0.0324667352203646 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.33819513698969 0.321098377513847 0.260010701451389 0.717115383244375 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102697580401914 0.0656099947482271 0.0465717552000841 0.0326924265390577 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.337892680427394 0.322780624444572 0.259445393867466 0.726268195601993 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.101968282156246 0.0669461733880621 0.0460940942387622 0.0349787382848776 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.339230516070868 0.324017048383914 0.259465328732402 0.729993451664223 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.101193424221944 0.0677200078193128 0.0456543682945072 0.0362509968549303 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.33847090845144 0.320819480010066 0.259840122594301 0.716171911802145 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103670795793385 0.0662629333879235 0.0472073321504666 0.0337455663815511 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.339605425529419 0.32146189786861 0.259397052636032 0.71740337966684 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104187525396276 0.0687457878964012 0.047494404432347 0.0362767212838251 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.340740395381191 0.322666657107047 0.259069852395045 0.721031838216389 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104047454496818 0.0693237434530608 0.0474048698333402 0.0364966879039816 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.340107420032665 0.320677998403052 0.253476827245551 0.711501863188412 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103264614832303 0.0691083479134191 0.0450858660197314 0.0360604046635496 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.341981550370754 0.321308209990293 0.244315046577239 0.70933738065217 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106847636877864 0.0714254595104578 0.0464798022636865 0.0377552197927391 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.15579519730753 0.0397528906459253 0.0430036198257581 0.0209363219922156 NURBSSource NURBSSource 19 195 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.157255725507194 0.0665139946076156 0.032455156889109 0.0467913334451416 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155806791252289 0.039752149423214 0.0430905188427847 0.0209215332407813 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.157134986755166 0.0664313730860259 0.0324695459398159 0.0467489513272815 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.154693898470869 0.0386766286250884 0.0420420009263481 0.0198576377989394 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.15772430772355 0.0665675893662517 0.0327858899589521 0.0467702509072438 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.15463574301684 0.0386556601793562 0.0419965304305152 0.019858004338235 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.158295756285664 0.0666269707278358 0.033084267781663 0.0467973346645911 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.153500006062566 0.0374710678457761 0.040804804821674 0.0186085579406126 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156125516486399 0.0687538904393564 0.0318348386666953 0.0499739774050335 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.15403989801223 0.0374714152319268 0.0406837111991701 0.0186356992582332 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156394116147327 0.0686031778523222 0.0316280813599329 0.0499863704012401 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155836757374482 0.0397225649307849 0.043005031319968 0.0209689674621662 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.15788680840822 0.0666928869294596 0.0328221618815314 0.0467693592597276 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155953227281727 0.0397046826043035 0.0430147943810027 0.0210018193463054 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.158475226483877 0.0663215805607101 0.0333116843472166 0.0467352174220434 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.156408441185511 0.039750743445713 0.0430594267468888 0.0210730752206428 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.158978984567164 0.0664016613021228 0.0333916535313717 0.0467583447967348 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.160537485283915 0.0407680115399334 0.0428054141336323 0.020733919530806 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1592730189931 0.0659864427905909 0.0324546166669124 0.0434372399658193 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.171292842271135 0.043376370051546 0.0440680190622242 0.0209098021302637 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163339124262994 0.0688630909557868 0.0325650463909258 0.0433557489333715 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.196021063096737 0.145574286143558 0.0985367031797655 0.201559723085451 NURBSSource NURBSSource 19 196 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108048629825951 0.0431649574562921 0.0139799414483704 0.0104573390298359 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.193753468772364 0.143312304651451 0.0953881664702012 0.194674151988979 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108018358114662 0.0431906603147999 0.0139664379856678 0.0104613041851849 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.193750496618294 0.143311680434199 0.0953885149319894 0.194693717546753 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107985110345349 0.043218237713431 0.0139504353642095 0.0104661804747702 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.193768291465249 0.143324850941877 0.0953843807654027 0.19474659343233 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107478486789248 0.0432801383807438 0.0138131649566462 0.0104784721041258 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.19256812104461 0.141994972342539 0.0938304516194157 0.191918847075401 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106587465328859 0.0436880491282089 0.0131402084148732 0.0105776408006249 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.191628046497588 0.140727639225968 0.0914079642156966 0.1881657650343 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106898490545682 0.0441353047296003 0.0131620142751816 0.010708184805941 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.195851117909761 0.145666646218411 0.0985644124959024 0.201602803103421 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108029808831792 0.0432756494349918 0.0140763118525067 0.0104949960928153 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.192053073564235 0.142119965528793 0.0943566786080089 0.192561994864401 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107868972067768 0.0434621960071599 0.0140726990544343 0.010559670873163 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.193484973026053 0.143951056312668 0.09541951908702 0.195356044877775 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109982236792529 0.0438869533966882 0.0155232093663365 0.0106734858388168 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.196602321183977 0.147412239935116 0.0962128549013012 0.196799979304314 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109713621921373 0.0483190621000842 0.0148308421390677 0.0122236680593517 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.207526766950413 0.154462959603156 0.101417122985138 0.205739383806342 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113372366191694 0.0511401081864231 0.0150537545747448 0.0128181597034354 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962932708594246 1.14529221354074 0.0376085387917093 5.38967395806776 NURBSSource NURBSSource 19 197 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0872809248976917 0.276157804826057 0.0660060502817449 0.441674414741269 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962204047046265 1.14469058989155 0.0378939795323904 5.38415440523841 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0885125535998579 0.277004007341676 0.0676536710366448 0.443658276839816 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962186647480958 1.14469070596746 0.0379122804340064 5.384155733207 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0893446864262672 0.278319752969903 0.0684596303357162 0.447510528087413 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962099522388645 1.14469976554754 0.0379546522489794 5.3842427321833 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0892552869780971 0.278392433587023 0.0683313062522035 0.447615634696375 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961785047442445 1.14485106016631 0.0379268093431283 5.3859222955572 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.088715306881013 0.280016770353377 0.0661097999470413 0.452179594708627 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.959101998841119 1.1454947308018 0.0383947188429132 5.39178131464273 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.090479989938809 0.282452068361173 0.0698741074351205 0.459092267143108 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962841353381448 1.14539611172681 0.0375952239900345 5.3906944876452 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0872822855645348 0.276177530854679 0.0659484173737193 0.441675711183363 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961817583241236 1.14494042652322 0.0378890500298928 5.38659108082584 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0885684061059982 0.277077216784363 0.0676173874221777 0.443792533973267 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.960700766603451 1.14533025914078 0.0379580720373319 5.39036284339633 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0866462180110645 0.276586720308079 0.0643293085183877 0.442140707323049 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950312305289187 1.14891030734776 0.0386271024360935 5.4244336488649 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0851253319286608 0.277856605139963 0.0621443864024307 0.445300433557355 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.93113214239586 1.15566000602902 0.0394234329132179 5.48949690908419 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0829993471392327 0.281509285715861 0.05978228725652 0.457672373864643 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23521392160751 1.44714861622958 0.0610276061406345 8.62695658686915 NURBSSource NURBSSource 19 198 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0462532546552612 0.266328567810525 0.0148241692330588 0.396759205571789 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23516790775355 1.4471439418143 0.0609852421224613 8.62690199944248 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0463036249493413 0.266343179081117 0.0148507591948042 0.396869150086631 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.235098534004 1.44713853376499 0.0609397674190875 8.62684004515101 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0457188357441216 0.26636237226717 0.0146113274969628 0.396994527359864 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23489184575106 1.44712543925342 0.0608399004943547 8.62669308983406 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0464653689111717 0.266415427188647 0.0149388489391761 0.397290926649558 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23276523815083 1.44456225867863 0.0603498465051564 8.59420572881975 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0470877012262835 0.264681586306961 0.0152665862956153 0.39245345222283 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22979617001571 1.44320627343907 0.0597271786884995 8.57830847449867 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0480363891408133 0.263979253937844 0.0156928387194309 0.391439794628309 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23578390063344 1.4474396125275 0.0611821237070394 8.63070984391646 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045521883813437 0.266384501450921 0.0144113079383492 0.396814974561503 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23584664634872 1.44735306521845 0.0612338951907006 8.6297215051677 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045831969690607 0.266430137415552 0.0145504800424582 0.396702304530291 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23484561107862 1.44468286325705 0.0612652883277296 8.59601341492059 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0463552220321582 0.264541465537425 0.0148149317708571 0.390365236721751 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22253610713957 1.44145383027397 0.060170459643616 8.55735139977658 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0472994330339473 0.265281976655673 0.0150809582025295 0.391321972078528 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19615441858284 1.44027807733165 0.0577773745106267 8.54497451889271 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0485523427346655 0.271811321208718 0.0157908931212555 0.41007953534757 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.14056720298163 1.18056728200698 0.660292030368474 6.39129760902777 NURBSSource NURBSSource 19 199 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.094769117773531 0.11944387032001 0.061291390396335 0.0811595492797554 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.14058212232691 1.18055349470995 0.660339159964155 6.39112221979106 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0955418987157448 0.119468059206465 0.0615487408901689 0.0811664762505335 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.14058973041678 1.18053824356801 0.660377122030694 6.3909302492211 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0964864307304117 0.119493357437376 0.0626886743565655 0.0811759805335087 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.14058165691275 1.18050295424744 0.660426786484193 6.39049208314013 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0966119503321855 0.119549176918497 0.0627793562407273 0.0812038793206493 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.14025656845622 1.18030172254789 0.660281302228258 6.38805244490723 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0964316313666126 0.119816910600173 0.0620597608318158 0.0814140441867533 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.13945924741493 1.1800025703086 0.6595711483488 6.38449782561174 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0971993405773899 0.120344868166035 0.0622891888569711 0.081897662894919 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.14037354888429 1.1806259045806 0.660222387816499 6.39202392607965 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0963662487914961 0.119478254163814 0.0629767886473171 0.0812242198558826 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.14009975856283 1.18066575334561 0.66006128649113 6.39253627979561 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0967720877692172 0.119521162235963 0.0631371078006309 0.0813150466653935 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.13931379107378 1.18068969908512 0.659469637971507 6.39292455406201 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0978895685466538 0.119634561225371 0.0636470320410463 0.0815752602108802 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.13312131622659 1.18046123056206 0.653694905047495 6.39126828248741 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.096118327521777 0.121339495507041 0.0611068457384653 0.0845045015945093 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12121662793299 1.17699527954862 0.642589729302191 6.35426892438958 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0930453571985228 0.123742960636676 0.0577274567734043 0.0883652801832397 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.233858083110092 0.0447344017694577 0.174838590927663 0.0114305256083383 NURBSSource NURBSSource 20 200 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.248593606707215 0.0749513690404971 0.228133293503556 0.0494856505339952 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.233845009691934 0.0447379745781219 0.174837017530945 0.011438560854802 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.248604308075269 0.0749190790997504 0.228152375063628 0.0494574502172483 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.233838071978645 0.0447457136912644 0.174844850836091 0.0114483064832835 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.248618138138854 0.0748864228304925 0.228175093053279 0.0494290727514599 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.233850211174135 0.044769925389846 0.17488809722152 0.0114724010112578 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.248653526579544 0.0748218706614903 0.228229830432899 0.0493728341339225 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.234274434375985 0.0445393742564114 0.175680269257562 0.0112835209570766 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249240982714557 0.0744620888168284 0.2288659580932 0.0490843223299664 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.234094442875402 0.0453362783565525 0.174563635317137 0.0115738400051331 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.249000642684204 0.0726284248145959 0.227420736811611 0.0460934836604438 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.234096355679647 0.0450418276887722 0.174819074470111 0.0115977918612809 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.248632769005923 0.0751373856173139 0.227994739191439 0.049649221770546 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.234397110298244 0.0453820833545848 0.174896845026632 0.0117870684796185 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.248701767696327 0.0753511297529923 0.227892381735479 0.0498242115861516 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.236811264272993 0.0462110062623417 0.177125253216989 0.0122452698837697 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.251080070333244 0.0758029566365618 0.231110358803838 0.0501447171989062 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.241370239100729 0.0512961704869644 0.181580243054885 0.014907264127095 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.25031064440635 0.0757845603498865 0.217351974743113 0.0479241768235289 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.252142646650496 0.0595967649143858 0.196876164297732 0.0203300203173275 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.253962651126015 0.0784945463802443 0.220648837472042 0.0486978554690727 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.352679108693534 0.209983478861061 0.140693586186297 0.309988658651225 NURBSSource NURBSSource 20 201 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.232528720450065 0.0891387561753987 0.0282887515540206 0.038808908605846 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.352696994995511 0.210023829643793 0.140700604677587 0.310008868027056 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.232530582562643 0.0891151257526117 0.0282698945534102 0.0387707976955668 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.352732222786053 0.210096811329525 0.140704149438102 0.310059264358151 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.232537153098906 0.0890615567399287 0.028252009474203 0.0387104764318326 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.35284135542774 0.210333149831848 0.140701571606654 0.310244001572265 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.23480813109917 0.0881546368214096 0.0294607127499051 0.0378489578272424 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.356889625423228 0.213990316301625 0.144035792826212 0.316569324509373 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.237040153309839 0.0882023088000165 0.0299394472973167 0.037977374778226 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.349512176553023 0.206927976516725 0.141086036202083 0.296976078761767 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.234588898627198 0.0877882495452477 0.0269225428528117 0.0376211900808142 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.34854541518974 0.206622841875769 0.138817125122578 0.302256454720123 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.237166971236583 0.0867768638253792 0.0305276942619559 0.0366682161364578 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.346196477821227 0.20513677033019 0.137023361752258 0.298234795585263 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.238605581298263 0.0867830641144111 0.0305852013974905 0.0367510572702237 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.34906077972987 0.208833464025335 0.141493490400844 0.304581857413699 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.239658333562745 0.0852357489142807 0.0310225154608375 0.0355292168989478 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.363072687999984 0.22172044657016 0.156129005579067 0.32174093432406 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.237730475062033 0.0864365312741105 0.0293679365763324 0.0380549903082072 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.395816167771049 0.24170632125483 0.179746922855035 0.350573118500514 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.247152214460221 0.0836548966320215 0.0304131695655865 0.0357736030542554 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.11062638677835 1.20963925919648 0.220991990612205 6.19933368275095 NURBSSource NURBSSource 20 202 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103398904503233 0.216222840849119 0.0253320248309525 0.230115066427184 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.11064785819019 1.20968909799489 0.221004379604756 6.19984364402227 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103378170007964 0.216202451199698 0.0253218201137087 0.230066808926356 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.11065267219126 1.20974358187437 0.221019715750635 6.20039611137162 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103358622334005 0.216189863910678 0.0253116380639965 0.230032122545521 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.11060528871351 1.20986732813423 0.221050934457511 6.20163578146117 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103327376412769 0.216172522462804 0.0252915158141575 0.229988167478826 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10967558883822 1.21055964483048 0.221214451967019 6.20839400978297 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10330484777538 0.216322978421496 0.0252149532990597 0.230270601294024 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10758496058264 1.2115643404421 0.221459938684026 6.21801036421706 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103471363837431 0.216780238286059 0.0251462540350987 0.23124583541562 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.11046105099629 1.20968481910052 0.221103291003848 6.19981467192579 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103356625828048 0.216217576020719 0.0253357839480142 0.23010815484979 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1100991532863 1.20979520665131 0.221249280366924 6.20088975642067 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103412414949385 0.21625769647006 0.0253424018795095 0.230213024126275 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1106669667942 1.21045542655144 0.22109434702503 6.2074979933287 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10340525439187 0.21573088637361 0.0252756466366235 0.228604871209065 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.09838808806874 1.21016408329267 0.222734182593626 6.20245564684866 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103975113134967 0.214305948266998 0.0245944269634768 0.225231238310792 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07439723257951 1.21800815957096 0.226000380223697 6.27599254171716 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104705001711062 0.22022125495907 0.0243505059685073 0.238644925390828 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126085532239965 0.0893596153829983 0.0255272129740657 0.0592794988860047 NURBSSource NURBSSource 20 203 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0865709593960786 0.0426124794075803 0.0127580927130599 0.0135392512579018 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126024755239217 0.0893860990955697 0.0255354507281752 0.0593121917798927 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0865253461855417 0.0426232630017779 0.0127537476320533 0.01355617867513 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125807101664332 0.0893906573154289 0.025557628050379 0.0594189883818243 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0862301770121538 0.0423232787208521 0.0127101544295664 0.0135452890432138 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125563877085493 0.089088912334461 0.0256148518872734 0.0591837633839324 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0861567909804537 0.0422425317761362 0.0127030627435262 0.0135370689328296 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125681206203282 0.0888860731752244 0.025723043714192 0.059079315509847 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0860096674109608 0.0420275772197382 0.0126746809681664 0.0136347451758744 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126346793874746 0.0890956775020103 0.0257545744596443 0.0593242817604501 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0861026774371859 0.0420254941296386 0.0127138915962793 0.0137229122928709 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126065652350027 0.0893479658803947 0.0255078551210143 0.0593101169365424 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0864851490982102 0.0425731376639324 0.0127141241405896 0.0135978841282826 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126148061370175 0.0893420959176917 0.0254849845442281 0.0593388618433642 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0861684597134294 0.0413245683776281 0.012525364261489 0.0128246665322262 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125903069273423 0.0884437230634293 0.0252532011153224 0.0585592874100907 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0864917605991888 0.0409302945332059 0.0125211226633412 0.0128784624906291 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.13172270650907 0.0897199467276407 0.0259539734357948 0.0598198517203959 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0889309103371239 0.0414722561794021 0.0130557868242121 0.0129805219235731 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140404462464042 0.0897659569591534 0.0262762105349002 0.0589823694718073 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0935309789664148 0.0420829477879386 0.0139360319758146 0.0119923047701144 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.333092398948871 0.315414741157227 0.25382577371515 0.694835500253045 NURBSSource NURBSSource 20 204 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0965351557669191 0.0592352337346049 0.035169719177844 0.0265227996127784 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.333093958903918 0.315455217590794 0.253845192302894 0.69489722820816 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0965961624247153 0.0592905341240923 0.035172340474801 0.0265227192113522 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.333096586561356 0.315496753731202 0.253858100294408 0.694955634409684 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0965621550823947 0.0593532791311493 0.0351319997544556 0.0265232240078347 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.333104408937865 0.315582903325783 0.253863898892361 0.695061532474383 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0972094826188259 0.0593584420518364 0.0354020241793496 0.0264884877576262 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.331357796833229 0.313763584214762 0.251341976976921 0.686463037161079 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.097819446640856 0.0614636442838898 0.035999566534691 0.0282218277632552 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.331595144688307 0.314167062091442 0.250617331632477 0.686465714283583 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0989704345386458 0.0616706333458214 0.036461033598698 0.0281975944805378 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.331368901194241 0.313112614803695 0.251553042210192 0.68581685104273 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0964183611490246 0.0598777728406424 0.035055777159084 0.0270412319329985 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.331545766842701 0.313082079452358 0.251384014943468 0.685749713445004 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0967116347162657 0.0601415351123477 0.0350563376296175 0.0271029814934094 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.331332852971665 0.310194820623864 0.250893860194747 0.673120638267017 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0962306787847242 0.0591806550489879 0.0349455782505447 0.0249528450617533 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.332447419589925 0.307244037579423 0.245482931334003 0.662175163650044 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0966594977800061 0.0586728236573977 0.0325800179062168 0.0259025652157072 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.335340075319175 0.305465394896858 0.234818338363059 0.649963282184782 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0996288717713617 0.0611982014820131 0.031726283403163 0.0278631763331191 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.15460580969249 0.0372773547340317 0.0395675364642551 0.0174461356130015 NURBSSource NURBSSource 20 205 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.161152261162364 0.0692820118970724 0.032649733343764 0.0485297114754937 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.154544317894638 0.0372761394357046 0.0395614117165168 0.0174528702711753 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.161150402072772 0.0671149171643889 0.0326626304988069 0.0447450009684705 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.154490967372012 0.0372752580020826 0.0395563369426486 0.0174594873077466 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.160614038783969 0.0692759235660165 0.0323682059837182 0.0485237604150816 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.154434374471656 0.0372752751480291 0.0395502577987349 0.0174724271328686 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.161166999794105 0.0675308781821333 0.0327040182856097 0.0448507237438688 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.153989429391269 0.0372741946986171 0.0392373779655845 0.0175269808553474 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.161219698208551 0.0696638528725895 0.0325969677969422 0.047662172460454 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155868051248111 0.0385016687234833 0.0403394083911472 0.0185862469586367 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.16032615186603 0.0698450722767056 0.0318389521828465 0.0477964689327706 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.154603750058916 0.0373018757045649 0.0396283622191806 0.0173875610218506 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.160560029203385 0.0680260352427185 0.0323980590833682 0.0448614986523386 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.154751579457261 0.0373280404704386 0.039708354385322 0.0173298684403212 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.160995491494531 0.0682518161655435 0.0325649945317634 0.0448799931632711 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155421131379517 0.0373920720573366 0.0399257677298963 0.017218328538711 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.16112546125471 0.0682115979973553 0.0325688220443609 0.0448870955004168 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166163592477083 0.0420211398689235 0.0454095069360298 0.020361550651657 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.160671857394773 0.0731310967089232 0.0310846812582757 0.0498297383752 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.180210079627096 0.0423817241046838 0.0481352415268103 0.0187580265401422 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.169167445117205 0.0809258822452256 0.0330066141536593 0.0573802444190032 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.18678723536918 0.132554398088768 0.0817786634589485 0.166640267331535 NURBSSource NURBSSource 20 206 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117801652855884 0.0449206947132641 0.0161994627655916 0.0111656707322278 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186791692458278 0.132540376437738 0.081740498699128 0.166646296034169 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117796825989276 0.0450017923489427 0.0162203211023559 0.0111355102743966 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186805519696145 0.132535292520994 0.0817014911336274 0.166659878991569 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117795358321905 0.0447703926561483 0.0162419974009175 0.0110846703261653 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.188717999857241 0.134398926738676 0.0837304548690055 0.170910408309437 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117805092044308 0.0447545131972784 0.0162875938350219 0.0110854902607216 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.184889772430464 0.130160337918382 0.0785071124687367 0.159472972052831 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115357322387594 0.0452840957196657 0.014747594766121 0.0112854064968344 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.178985335788311 0.123485928230082 0.0704978026617556 0.141503154697827 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115790534649016 0.046163649886593 0.0148825803988194 0.0117073266933767 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.187008327918717 0.132796184116064 0.0816389874212766 0.166876367470348 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117053574681999 0.0449462542246897 0.015430156387521 0.0112109042834245 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.19205837147317 0.137736813793411 0.0887183476597684 0.181838621568781 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117108264678288 0.0453359330012187 0.015469283942132 0.011313828284035 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.18945178870012 0.134782358964258 0.0852829208798038 0.173962506427249 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.116863384655792 0.0463482356789062 0.0154470557346801 0.0116846547331786 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.202543936608277 0.143605171914751 0.0939263246761913 0.185351601817641 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117513563515277 0.0492885538924333 0.0152553481441723 0.0126654643820907 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.223087766293378 0.153315298344176 0.109072542502791 0.201601051104067 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.124501060973912 0.0528914425901012 0.0168455716644685 0.0140137396619968 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.952204963942539 1.12887807949954 0.0369355195354891 5.21681438701469 NURBSSource NURBSSource 20 207 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843011281755906 0.269070917090104 0.0567865532284653 0.408744654827475 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.952122401611434 1.12886536134776 0.0368857863070232 5.2166963271621 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843050710581679 0.269132731942098 0.0567942601737469 0.408906509791441 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.952017604114223 1.12885735838431 0.0368393675534538 5.21662214189693 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843080538458005 0.26919995921598 0.0568019316737929 0.409083645954871 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.951745824382455 1.12885544977654 0.0367584231264056 5.21660526651293 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843114403684689 0.269354562665766 0.0568173197475582 0.409486215563174 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950990013274127 1.12650323375361 0.0362455133931065 5.19072040819185 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0809068575685129 0.265468780351655 0.0522314218143742 0.396380384342137 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.947653026008644 1.12697644278529 0.0363621566696329 5.19509227664667 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0823392452547273 0.266202323459221 0.0557507785105976 0.398600383877771 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.952255663256205 1.12889342904181 0.0368160986770337 5.2170212435847 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843101504601246 0.269018445853271 0.0566432028516686 0.408671353018252 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.951727998568056 1.13174590441626 0.0367383950438826 5.24739691047956 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843760154163463 0.271840589015306 0.0564958650444713 0.419258586124799 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.950563939664241 1.13200992965385 0.0366965763883047 5.25000481675119 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835334714332322 0.270621105680277 0.055485759446454 0.415616401946148 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.936419254065962 1.13503531422312 0.0383211171523618 5.27932541503475 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0774814267378487 0.268490080720913 0.0467898532044077 0.409567250446757 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.905366911564727 1.14585178354235 0.0430841062175417 5.38680784597374 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0826571425519568 0.284355678184637 0.0545117831979763 0.45993831797169 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2171741242646 1.42343538795217 0.0563858708285301 8.32943083830286 NURBSSource NURBSSource 20 208 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0497015253224243 0.259161564074482 0.0161406040593562 0.371609008412284 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21712647580999 1.42340469031885 0.0563983567026242 8.32909178689619 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0497218297697373 0.259153993283093 0.0161395035150863 0.371537572534744 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2170493058423 1.42337328029149 0.0564085918831507 8.32874617760791 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0497428787771871 0.259152006271516 0.0161392552621031 0.371482774007902 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21680517285551 1.42330843891291 0.0564211486024546 8.32803658226349 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.049909422905348 0.25916566853313 0.0161544080257339 0.371426923166449 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2146249870535 1.42302312184647 0.0563582783646864 8.32496523097922 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0510051011753602 0.259456599742951 0.0169394231717933 0.37194364713879 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21083113083188 1.42446885207236 0.0561768020416389 8.34381467652921 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500047848483116 0.261646942101029 0.0162580277326681 0.378395080024748 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21732815586219 1.42335460619854 0.0565563537261771 8.32845491050382 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.049663381783406 0.259395669469799 0.0161215623791549 0.372080940758262 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21725607767414 1.423055044529 0.0568088555765916 8.32540777290436 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.049055415403566 0.259375245421913 0.0156220233815688 0.372253621835551 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21608757972338 1.42284626452567 0.0570287110451532 8.32300060915324 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0482977521685212 0.26016129647013 0.014911778900548 0.374173063862371 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20017466921046 1.42499376568436 0.0569362051780866 8.35366123812081 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0474272471639919 0.268707293139746 0.0145246893322698 0.399914279898198 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16403503821138 1.41595900236843 0.0550358717659275 8.23917744175471 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0493676432980836 0.271031379396068 0.0157742716268341 0.401935224648224 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12788408936595 1.17124454771233 0.645803825516637 6.2955777975717 NURBSSource NURBSSource 20 209 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105542355478885 0.125558380192001 0.0743851388120523 0.0899109752903513 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12787306605333 1.17122195290262 0.645743420861741 6.29523110429848 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106554349762493 0.125755897651555 0.0774717833439248 0.0901682512559852 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12785208831068 1.1711976207234 0.645672378436386 6.29486415840819 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107450616671046 0.125745913713494 0.0778375463996668 0.0901523441476571 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12778013656855 1.17114392757751 0.645497821787705 6.29407059132019 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107413002645078 0.125727603663988 0.0778651191055331 0.0901288301868149 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12549129336926 1.16883983468573 0.643120214837656 6.26893187350255 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106735303445957 0.125054588790307 0.0779877270349923 0.0894383928690301 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12416879469535 1.16843704408348 0.641294627881813 6.26355479107581 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109575228717581 0.125089253143982 0.0836885727401974 0.0896492397718195 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12781021942367 1.17133496275642 0.645824700919815 6.29647912845229 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105668012411747 0.12554888617957 0.0743441191897224 0.0899390617935656 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12763830891955 1.17140586757145 0.645729598922612 6.29715813642026 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105555417133589 0.125546973197416 0.0743047995171146 0.0899970806687582 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12700786237596 1.17148975115909 0.645187938902553 6.29785440768413 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107193092852321 0.125774289257838 0.0751476926690184 0.0903630793387497 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12025453596506 1.17100919412848 0.638386322771757 6.29147710815762 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107304460858896 0.126643719276939 0.0762232307703854 0.0927335707013591 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10770494535106 1.1703736829499 0.624860086095696 6.28237332679591 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106322483504998 0.128753335968886 0.0781532183300915 0.0978630864430898 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344020584958077 0.116398401479708 0.289787872620533 0.121249183897547 NURBSSource NURBSSource 21 210 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.343007533054093 0.167474652211747 0.321915648230618 0.18297357716944 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344062640282218 0.11633065311439 0.289960547614707 0.121321095659224 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342979930249622 0.1674605890795 0.321888838519235 0.182991932116714 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344146745439537 0.116260015708729 0.290192949994633 0.121410475120685 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342957372468446 0.167446845457125 0.321869464689694 0.183009817927172 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344453999272135 0.116149305520961 0.290840671833484 0.121667569612937 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.3429348141953 0.16742492331834 0.321853040895026 0.183046129600957 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.351133192699155 0.120448278871323 0.30294408069787 0.124772628826369 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.341099659240933 0.16769491027702 0.314199912803043 0.183031911685573 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.361940175364165 0.123062092235225 0.346959548529179 0.125291814658115 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346637575557611 0.174995625831492 0.327171646227296 0.197128358246837 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344565608769387 0.117270486964509 0.289516919175874 0.122074485419513 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.34287400919143 0.167764446287515 0.321706858519542 0.183626271260774 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.345853600842318 0.118979202396661 0.29061168335065 0.123549692298272 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.342813825491904 0.169202096958929 0.32159415756186 0.185923790131179 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.349101000027188 0.123361294383515 0.294260169325753 0.127918500421774 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.346837953586702 0.181730892942725 0.330384803071559 0.209750065453565 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.385962741087511 0.143761362953366 0.34756679130409 0.148992619020092 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.35713091912702 0.198404964391467 0.331962255076537 0.232379369157685 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.451994804390168 0.161461183727685 0.534008052531726 0.16666434884263 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.375875285709007 0.22342954542486 0.368815237408993 0.275284298297779 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430954374949442 0.421724056096568 0.173650891279746 0.985003642465998 NURBSSource NURBSSource 21 211 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.26920981092124 0.1698479738907 0.0469057435602498 0.153281351601948 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.429783823726564 0.419926436391874 0.175393488854774 0.976808696451609 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.26895551546562 0.169962917645284 0.0471479013191749 0.15345893375325 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.440256886859555 0.428607345412801 0.180621999591944 1.00529331001684 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.269435475660212 0.169852456834288 0.0470234649640276 0.153377482780665 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.4512215147678 0.437082029407329 0.187690037170708 1.03356896136162 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.269310680044896 0.170083282981397 0.0477638430472821 0.154253046047945 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465495789714903 0.434153159249694 0.220853930103655 1.01041874826904 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.269442479760009 0.169677381852252 0.0478327192543009 0.155028551786421 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48930866989787 0.425723946218241 0.282632920432707 0.964478667766617 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.270374492887467 0.169891660621942 0.0508572859497976 0.15669193786668 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.43509657846273 0.423215249934319 0.179233069700211 0.983001422779951 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.268909841082522 0.169073378916018 0.0472516844372966 0.152138594554387 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.451794051369839 0.429651237596462 0.204018300537352 1.00051959100198 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.271740455624724 0.169941241786291 0.0502513298450511 0.153505699005512 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.474447417173726 0.433298462060462 0.242872188854866 0.997656346825364 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.274506071112755 0.170741329857917 0.0517807424580129 0.154650193357123 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.567933174217424 0.421049252284476 0.501524629320275 0.906366152836833 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.277494115501698 0.172718406282286 0.0551057299717749 0.160261031329735 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.627131220065237 0.425218846264752 0.666618720748755 0.902697936719173 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.281149470356614 0.183319341082457 0.0633669279597377 0.184540925642668 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07995328380678 1.41077110147482 0.231211326072494 9.043304817491 NURBSSource NURBSSource 21 212 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145433240504641 0.494346075771237 0.078188175017379 1.85300188099914 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08038212504863 1.41089277652371 0.231131325458582 9.04425745460483 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145421415008669 0.494347216405977 0.078166866537259 1.85326143446426 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08077123153872 1.41105261814502 0.231131512534811 9.04574718153924 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145407302146492 0.494357397914632 0.0781444890703878 1.85357358174041 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08142514139819 1.41149067939164 0.231403277034424 9.05042181013444 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145372015782311 0.494405098814988 0.0780965829609874 1.85435578239207 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08203945471199 1.41472655463299 0.237009038396695 9.0921443547368 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145718185601986 0.495229102541838 0.0783596811344829 1.86062743007934 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0865957899359 1.41366898516418 0.276588440197884 9.08315729497682 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.151545554834945 0.49637011238116 0.0955314915188257 1.86936040944491 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07763103761205 1.40994567017017 0.231948751867586 9.03401814798252 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143247035577021 0.494389943316244 0.0730183437210912 1.85272834399878 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07428436133727 1.40947494983129 0.23460924487975 9.03090623667261 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14339157360604 0.494547991380813 0.0733212526240382 1.85310213070229 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06906597886448 1.41744636418793 0.235223674515044 9.1600058530266 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.149473041616427 0.500572574412034 0.0920420905672917 1.90518353729324 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04170123367761 1.43166930542526 0.326060268178154 9.35540336932013 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.177283950088873 0.521106038653056 0.164605915929571 2.02369474214557 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00432649813212 1.45200374386584 0.398070265388322 9.64263802879896 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.20971563216537 0.534262318870491 0.263911209281131 2.11475052400786 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.138563332915283 0.134065454249175 0.0270328934949918 0.102745836990301 NURBSSource NURBSSource 21 213 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0980384388217936 0.0764907481878954 0.0241195725961301 0.0484549805955749 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.138380157888407 0.133312651180573 0.0268220724033829 0.101559462817581 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0979998762596703 0.0780094772034646 0.0241087351039758 0.0515473399543969 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.138504756137827 0.133024580685964 0.0268487914219745 0.101172639113564 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.097964281046019 0.0779562809948842 0.0240985486215368 0.0515662479404249 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.139754674206749 0.13372748084225 0.027509861137561 0.102056360419363 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0988740894865687 0.076189093588344 0.0245274929864671 0.0496437029106047 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142654988665234 0.134612364518954 0.0289611582518899 0.102633313891202 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0993939432345474 0.0746987634122993 0.0248595779017394 0.0461396658345846 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148398192870914 0.136701442555931 0.0319200376704087 0.105237074356876 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100162193629598 0.0720660938321199 0.0252098416920503 0.04028221593499 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.139054103721523 0.133642820240231 0.0268584848763825 0.101698767565564 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0980330500264243 0.0764050998248044 0.0240843538069461 0.0484592500227723 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140973758877191 0.134038543509399 0.0276091407178038 0.102113705624965 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0980226108773433 0.0764642717845359 0.0239975524913109 0.0486375580498338 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.145048483742444 0.136052392723752 0.0295512788048287 0.104644639822429 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0983259764531167 0.0761742766014173 0.0240486919424925 0.0486688811122108 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168738170213329 0.139954603567578 0.0482512840843731 0.110671260629122 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105399126861234 0.0759391375903194 0.0271664866545353 0.0459321432163707 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.195873720764631 0.143378180836634 0.0608189438838769 0.114468861482424 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118129598398493 0.0902389816968338 0.0320901607942585 0.0606962616261315 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.283086932948388 0.344919297226276 0.182576373511968 0.788144534744685 NURBSSource NURBSSource 21 214 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119259280682412 0.140171474038 0.0779390053316938 0.131959943477212 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.28327310880221 0.344882309732001 0.182876951607889 0.788390360590679 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119272148400692 0.140125768896333 0.077916622199235 0.131925112613337 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.283292885793532 0.344620181381375 0.183291476480023 0.788175355713581 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119888958823934 0.13996206039849 0.0780975988084601 0.131791043335949 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.287214245062076 0.347703708073705 0.185946880776963 0.800347925481784 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119881376917331 0.139900382259843 0.0781082802097245 0.131746324310812 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.297505260171498 0.345007443262074 0.197932630734324 0.786780841082476 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119733110446046 0.13980111314254 0.0776961132935248 0.131780215699011 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304829956615466 0.345535735681924 0.204827503359167 0.786847390847724 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119751298686538 0.14138388223495 0.076798634363585 0.133675618240022 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.283161437914611 0.345324050424104 0.182985032711766 0.78983924693408 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119685648720516 0.140026182237822 0.078013411319537 0.131872036219054 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.286257772745784 0.348361836231793 0.18415132658266 0.799591112017179 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120390155566216 0.140048510678304 0.0784930685119351 0.131967042096758 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.288019648565039 0.350572373506787 0.184728018962814 0.80869094849445 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120320399064286 0.138786140669111 0.07831318985798 0.13062198839366 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.318108798729403 0.356381088779134 0.22178189440955 0.822793847261084 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117634249856162 0.138387771028189 0.071600739286406 0.130744239825174 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.342836275254237 0.360051009761419 0.232517684521223 0.814593632495477 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.128856789008185 0.144362469446314 0.0758995954236057 0.135393983080635 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.251762212644197 0.0930253265283016 0.0950564715428736 0.0754137830216619 NURBSSource NURBSSource 21 215 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.232913294992975 0.0726773723560054 0.063400245788553 0.0409810863420712 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.249528116076616 0.09063401527457 0.0945940544275114 0.0725978537066529 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.232966121451085 0.0726887492138542 0.0633253893868694 0.0409852198003834 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.249630842390032 0.0904063802475145 0.0945812256238398 0.0720024747258789 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.23298718044512 0.0724176850379212 0.0634173156198766 0.0409530504114333 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.250382264825728 0.090523053273546 0.0949654429344208 0.0717863842953876 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.235915094670186 0.0755095392858268 0.0652586684687432 0.0437952382864279 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.257645914309892 0.0945973197671973 0.101514498405674 0.0745295196304642 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.236934409112956 0.0753834004344827 0.0654180949912413 0.0441108652739222 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.26262671038618 0.0949484392015388 0.106246748581308 0.0728539116585171 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.240897090820199 0.0759992497942272 0.0671612164493798 0.041321457256575 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.25032502536804 0.090875986742954 0.0933340745917393 0.072314048884524 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.233456104677489 0.073720368436329 0.0634260863652695 0.0441814331900549 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.250964681318116 0.0916124710268039 0.0933220998389221 0.0727957466807865 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.23530818626604 0.0765808390125541 0.0649907328427314 0.0469531061443903 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.254692217380165 0.0927944070834734 0.0947488908824725 0.0727266013163553 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.237003055496359 0.075218919221238 0.0658781204282914 0.0427448461876252 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.276485275052961 0.0964189735200666 0.107747885211284 0.0716056219522464 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.241273334932906 0.0788878897277407 0.067504829882659 0.0453237748126934 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311527268240749 0.103153608484385 0.125185987891169 0.0751831201656278 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.254156840652366 0.0853296795548358 0.0725007928056858 0.0483323575162624 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.21759695644259 0.160516265403491 0.080507109253648 0.194787917474715 NURBSSource NURBSSource 21 216 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.151899480773455 0.0871996752119366 0.0278760341860235 0.0381162474250377 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.217276760738233 0.160597488580395 0.0805086271647049 0.194930248379213 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.151912546140332 0.0872393916572585 0.0278685282390444 0.0381326773990154 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.216043765064427 0.159808392536378 0.0800928989710305 0.193547662627768 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.151934723042277 0.0871865863302375 0.0278628157237033 0.0380924466457207 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.215697641816245 0.160199226605857 0.0801622440745996 0.194133856437823 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.151184107537113 0.0874633409288524 0.0273929596405113 0.038330279430679 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.224581010115547 0.170082503554074 0.0971589604412465 0.219292109089776 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.152501934740294 0.0864762896862345 0.0276560622165556 0.0376437118422709 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.237943717038941 0.175099010709769 0.127119830967401 0.231238623309376 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.153372497505156 0.0861304447758226 0.0278362308580696 0.0374735591809374 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.214979049698934 0.158128084079594 0.0794863414820531 0.189056134671703 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.152790599366266 0.0862782685380702 0.0284899067544965 0.0375939493128106 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.213471504579632 0.156043409744608 0.0804264245960633 0.183679224755897 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.15385043836466 0.0863723844793107 0.0292775614783086 0.0374495722348126 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.221548350538788 0.161074175385298 0.0890916338369029 0.195410091929188 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.154008444588434 0.0881910528967062 0.0295729887829078 0.0393898534752018 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.285083761713707 0.205404531501849 0.237320862692781 0.325797102964575 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162697994817936 0.0901617803549755 0.0340364364379997 0.0403288955299974 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.349512988408617 0.24073483411537 0.333796421580102 0.414434183436434 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179408003293462 0.0954227335157416 0.0479074619377598 0.0452265939267546 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.97634328169883 1.44191617336531 0.0525207287777486 8.94431256463157 NURBSSource NURBSSource 21 217 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.19881245080375 0.594184692834809 0.306685305076083 2.13256060810641 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975049394189875 1.44184122563304 0.0535917942406663 8.94322134631873 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196403636325873 0.592796072749462 0.299232514731124 2.11917413705643 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974452442895992 1.44233030419706 0.0553917946810856 8.94952479642735 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.196421712974253 0.592695619483056 0.299376497094518 2.11855734368033 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975148155939185 1.44261086086967 0.0690005699067054 8.95254627046959 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.201181853257325 0.594999681380479 0.310817329461255 2.13000155182061 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974883742209149 1.4489019585286 0.117324032264564 9.0284993052056 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.201002768153702 0.594000277126182 0.314259073018261 2.12105347446091 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.970521459064949 1.44938394573818 0.157241572383389 9.03029771876223 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.204854072219169 0.595364621366404 0.327011358482632 2.13082729772735 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.977334045502294 1.44211636361197 0.0542372849585121 8.94648430584442 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198747089370577 0.595107301584078 0.306240667206895 2.13720636878447 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.976287042415363 1.44249205378311 0.057984357070472 8.95083553801663 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198668493492544 0.596185800209865 0.305761682782085 2.14267400711916 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.971513630472394 1.44544644559108 0.067412841490216 8.98507798768698 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.198545573760736 0.595275391679128 0.305042895636667 2.13859573356102 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.942738856524404 1.45832287605628 0.14906942509046 9.14726088918718 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.205161590118385 0.608633566259894 0.317792118633863 2.20489986455339 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.891867695143584 1.47640666115976 0.203225652182811 9.37503246246593 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.223861562480361 0.634116838159394 0.371144869938283 2.37001334703579 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17939562519846 1.4388773123406 0.0564753051452553 8.66604971386882 NURBSSource NURBSSource 21 218 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0455037159981777 0.332964353914291 0.00859958348143446 0.686700603377545 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17924812148456 1.43885972562423 0.0562023508413255 8.66579744930229 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0455280200030081 0.332962408768345 0.00860099323942281 0.686672951084486 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17898357695965 1.43885295436153 0.0560882966437699 8.66567445805711 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0455483347012534 0.332970834061002 0.00860246491954343 0.68668536590271 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17580209042107 1.43664562404793 0.0587016174987691 8.64319842466661 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454134934559955 0.333014652719419 0.00854980515979299 0.686828216956869 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17516733609764 1.43361422179531 0.0970969210762566 8.60939031975955 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454145492791675 0.33175568618375 0.00853585586827166 0.683858410504115 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16327693943024 1.43151751098992 0.103406816833102 8.58768018023005 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.047744951353432 0.337944487215537 0.0102444999528257 0.708067589039447 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1791913751668 1.43784649259466 0.0568044118218348 8.65249330486289 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045644142666173 0.331630368009026 0.00867602171359747 0.682359365712001 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17801690372872 1.43841814925449 0.0577583254574061 8.65910438476973 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0457041094116725 0.331873237059149 0.00874046464489973 0.683398079969778 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17066270455688 1.43668457555889 0.0632313427391575 8.64253186221034 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0478303741357899 0.337487600515852 0.0103232769386382 0.702839460124146 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.12350955072833 1.42564499045365 0.109389461341819 8.52425121555691 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0546062554543089 0.351395533701043 0.0149140759653086 0.752663907027799 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04836594839743 1.41900239368011 0.167530490563418 8.45904817172344 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0752737499969343 0.395404403015524 0.0366978489973882 0.942127472515385 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04936892990894 1.141072778514 0.608768346648156 6.04067827587467 NURBSSource NURBSSource 21 219 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.167179082122363 0.200373209520642 0.205869776010924 0.223995887935389 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05022662768266 1.14216169567137 0.608930173855965 6.04888047592809 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1670628657969 0.200401557915043 0.206096270561861 0.223934861970055 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05063473722245 1.14279733188591 0.609823294315443 6.05383470205105 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.167176603984926 0.200721090206765 0.20583914167638 0.224257889185077 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04936297244899 1.1421744770414 0.613335303343962 6.04940733491034 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.167316206795482 0.20076949026506 0.205930995207085 0.224165617518062 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04477643518428 1.14442622533266 0.615875138553412 6.06807970886171 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.178378828359069 0.202669416943013 0.234466750726237 0.229350377138105 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03458651114156 1.1452973428742 0.610773197062126 6.07234038313234 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172372419406657 0.205531335206562 0.222914678526611 0.24710677266745 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.049280669114 1.14304424202955 0.60233930136493 6.05564147982357 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165773306127815 0.198920483458645 0.198943270013681 0.221313086378626 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04901309660251 1.14422055545842 0.601018935775448 6.06358197208722 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.164221955090504 0.197897311961495 0.193465556733284 0.219196721664256 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04782946482347 1.14473513920198 0.604514168280926 6.0665039311971 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.167207394106468 0.205727626551361 0.202444017575204 0.24494350815164 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.03359982838276 1.14159831880238 0.60550720555355 6.04014822560623 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.159840957657634 0.19342332106103 0.17624513530136 0.209123094094183 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00966208526449 1.13989329288028 0.598386551221324 6.01755607535253 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165438878439434 0.1958405249636 0.180642954378402 0.22152295848988 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.226100905716849 0.136858202214832 0.266390700638393 0.331016403801006 NURBSSource NURBSSource 22 220 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123908606219627 0.0659636923764045 0.061077077230459 0.0659933444826912 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.226089819345963 0.136825817170654 0.266374342573927 0.331006870793849 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123906755404117 0.0659718204306246 0.0610730156241624 0.0660012688711398 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.226093994433795 0.136804493386837 0.26635779395189 0.331003761263848 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123915717741356 0.0659887046899458 0.0610717626343676 0.066012109083467 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.226151178779033 0.136803472551894 0.266325227755212 0.331020150791594 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123969110410015 0.0663590856666094 0.0610781293939024 0.0670695317169363 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.227539541242406 0.137742493726447 0.266569931018932 0.332107515535797 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.124902111665891 0.067182742079222 0.0613510777980507 0.067918877691012 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.229196908636764 0.138979367357499 0.266278163350347 0.331996451159173 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.12613478144802 0.0685459646686675 0.0616594686068024 0.0688353086306956 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.226181563651136 0.137012911343108 0.266323588410546 0.33110665806404 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123942776514287 0.0663870809560775 0.0610725050240055 0.0667027823031178 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.226401494103747 0.137354813082625 0.266247714758285 0.331298916947621 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.124426885002766 0.0670580502496681 0.0616789138313778 0.068022256151463 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.226840474535937 0.137964369650168 0.265293715980186 0.33050160002871 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.125458505433249 0.067356469987926 0.0625816679413682 0.0665607672472992 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.231948183788963 0.143513492552074 0.260474492137155 0.326924199323564 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131248415012815 0.0731929499778367 0.0647979511144577 0.0676928835784608 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.24903864768837 0.155313449266352 0.260621932122776 0.333593452964917 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139672088331384 0.0786040052854073 0.0681863548118182 0.0661083328922485 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.307893722826704 0.282125559086887 0.18751026960101 0.506240325465183 NURBSSource NURBSSource 22 221 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0954048061179009 0.0683355790491022 0.0428748569403308 0.0430877308740947 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.307775789979843 0.281966132730307 0.187513401732875 0.50589386876611 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0951590566587087 0.0682011263984955 0.0425984312385554 0.0429741707071788 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308247001832693 0.282400586364779 0.187851411470624 0.50713710395776 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0952470659932755 0.067986218931319 0.0426382251557112 0.0428054156504169 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308633097062835 0.282704216238657 0.188173979848121 0.508285042052858 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0954249686530246 0.0683510092896324 0.0427682500389926 0.0433080162304663 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.307995848818815 0.282026455552294 0.187383229396543 0.50634207846698 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0961408600605031 0.0687916771388963 0.0426458976222148 0.0438843581450292 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310162844200147 0.283659218851525 0.187672469187125 0.509386134606752 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0976819904066839 0.0695300945020501 0.0434412902822018 0.0448142779751001 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.307171784653373 0.28113823175691 0.187186803529136 0.50335660854706 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0951044388993523 0.0685464420219036 0.042377320365645 0.0433466493105474 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.306591250621583 0.280575842742217 0.186667975098854 0.501584464335216 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0951945916611608 0.068273753108033 0.0422778397895373 0.0427372999215556 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.30629041962561 0.280241190192132 0.186209574122009 0.500092297012119 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0953622976346312 0.0686201339402459 0.0417438681619696 0.04312739157607 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.314091426522555 0.286687008035903 0.186732645820599 0.511709384497556 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100243153290278 0.070289295878008 0.0435750836857556 0.0435262288802477 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.328243471145988 0.294869059570604 0.188488878669251 0.525945353881198 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103725922043835 0.0719405481570189 0.0423201517603378 0.0427397811619606 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30213331988596 1.45556112661023 0.390421482918828 9.36210237099665 NURBSSource NURBSSource 22 222 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0819379910671284 0.25801587094047 0.0994312729065668 0.531367916738103 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30210271521155 1.45556011021006 0.390380083236298 9.36210113582546 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0819309880341774 0.258013691540847 0.0994201219684209 0.531370823710432 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30204095800303 1.45556559891633 0.390327780141307 9.3621789856977 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0826572921234928 0.258018661396452 0.102142022184193 0.531401710561868 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30208225053051 1.45539168382966 0.389657579318216 9.36024906652207 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0809518358314939 0.257677972625376 0.095080646999246 0.530363657900668 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.29969966435151 1.4556164015908 0.389145983129632 9.36302309661673 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0821094872412883 0.25806838716929 0.0984056967992502 0.532020558122885 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.29567616583459 1.45556210982253 0.387208947078297 9.36162710739667 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0828376591744789 0.257996965367001 0.0981302121876656 0.532877617382762 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30213945443498 1.45575549092128 0.390365338364778 9.36553713790661 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0820733159902223 0.258069730880241 0.0995991159935397 0.531960898666896 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30191249068744 1.45594752661764 0.389648571713372 9.36801770988796 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.081251377862014 0.258033315501233 0.0961013237470405 0.532130410355631 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30011277950393 1.45719071337245 0.388125199941261 9.38559227558803 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0806121723209068 0.258979107916562 0.0924664229057722 0.537197127969499 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27779330513697 1.45819255090572 0.379306445393169 9.39219870550698 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0803613942999707 0.260298290594303 0.0797998699589544 0.542510062027518 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23532710542576 1.46362788132468 0.367161307173926 9.45290901796924 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0837912431242323 0.26778021996543 0.0795896939632727 0.571036709705975 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155150793237984 0.15696233038945 0.0700098221437225 0.178783898068385 NURBSSource NURBSSource 22 223 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0482128141951872 0.0560586497766704 0.0279349510296759 0.0546101273022365 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155549785452292 0.157322074803473 0.0701305335322537 0.179351222600901 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.048204694998008 0.0562271353193505 0.0279189646791434 0.0547598055058068 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155391500235052 0.15702355627709 0.0699856835705206 0.178556617833239 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0478758024909943 0.056586633387098 0.0274701975901595 0.0556771159148956 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155586972600059 0.157189214150242 0.070035657244602 0.178732621216139 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0479743049085005 0.0561753423004129 0.0274902331586369 0.0546786845709311 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.156435560232418 0.157990903743443 0.0701812096584177 0.179509185060249 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0484260454951617 0.057413675751283 0.0275932780603787 0.0567086319956507 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.158062356942819 0.159531899463335 0.070372668847548 0.181325882222559 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0497280418825514 0.0573948807559495 0.0279840772052043 0.0545449021287038 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.154850864916021 0.156927438900248 0.0698872319799464 0.178659662461001 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.048042674504345 0.0557847135496706 0.0278000562058331 0.053703563677886 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155119336926848 0.157363881285422 0.0699195605851482 0.179189478865699 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0483665524622009 0.0556892428866052 0.0280022700194675 0.0534820445799824 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155231381311961 0.157875089604047 0.0698000701181702 0.17949587067058 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0484216193769629 0.0563939326589953 0.0277517287615025 0.0536053849485354 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.155888360598506 0.159634641264749 0.0685307306390858 0.179538544804236 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0520081607129738 0.0602211937935683 0.0286735491801266 0.0529752006419441 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.158918713110378 0.163272759809495 0.0668897404279425 0.182511701485057 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0574576890162965 0.0635142689114507 0.0303059386197309 0.0515629334912242 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.407646944948334 0.42888938048405 0.465524928649421 1.33521758588235 NURBSSource NURBSSource 22 224 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0662644711838886 0.0837976591096503 0.0755411915416277 0.0965881717695573 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.407871101849438 0.429096994512352 0.465587887032828 1.33603757689987 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0660852553762957 0.0835958172929513 0.0754505862375649 0.0964348978343219 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.407787745273326 0.429038153614829 0.465438997692762 1.33570270028307 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0660238940325977 0.0838109250933673 0.0754216520520337 0.0966558460347458 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.407888984297211 0.429219479724332 0.465317314874988 1.33615957307094 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0661745741094801 0.0839469611062582 0.0755938825696595 0.0967690312511929 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.408798388604121 0.430715930164516 0.464778202827057 1.34043004798934 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0665629941618194 0.0849980000168746 0.0762345154910071 0.09763689557888 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.408820666524347 0.431522479782806 0.4630280042056 1.34136505307678 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0658072179915602 0.0857995049317101 0.0720586909985628 0.0979447233635389 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.407834545342316 0.429140243807757 0.465716978367381 1.33574280039424 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0660766031490266 0.0837537196496898 0.0754181140467335 0.0964891370718369 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.407902105992434 0.429380061620544 0.465900949898191 1.33613129861227 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0659790242116177 0.0842777525986426 0.0749520573262642 0.0969493692807867 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.409278953337184 0.430419649648793 0.466374086770256 1.33536571517792 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0658201782588028 0.0848268803759061 0.071867200158629 0.095766778065037 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.410951163936225 0.434390891320515 0.462398331188425 1.33850236580779 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0705238342646445 0.0894770477050222 0.074242704959659 0.0969169228859922 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.410681879577588 0.436477196402948 0.448923186722862 1.32662340710789 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0743351726745746 0.0923889898076546 0.0724241209563151 0.0951569222370688 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167610148531124 0.124497145323714 0.0993921498822413 0.1519061849598 NURBSSource NURBSSource 22 225 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836481858741996 0.0632845448263177 0.0260419431926944 0.062831978341148 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167825346281724 0.124680551482781 0.099529371710173 0.152284026931691 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836519789176181 0.0632995032449588 0.0260354025850648 0.062839529766411 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167757534844001 0.124583377036411 0.0994483123383546 0.152103088940032 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836419561550749 0.0626829807672147 0.0260414977305866 0.0617782281803631 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167563019274209 0.124149085439443 0.0992878725418545 0.151493073727303 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0836874400725904 0.0633892223509807 0.0260420049400646 0.0635378786593086 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168158369268075 0.124104728578695 0.0989014392898023 0.151237402149031 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0838218214226004 0.0635866455442498 0.025820738779354 0.06204001121385 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168829375143611 0.122991680741294 0.0982594007478221 0.149521907695239 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0844824107578331 0.0630263789653984 0.0260276621327488 0.0611319516224898 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167128203901295 0.123812703554506 0.0990442374736829 0.150831779851441 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.083896001299321 0.063498945033678 0.0261913509460625 0.0630506868451815 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166844989607659 0.123390139024181 0.0986813405464668 0.1501572894266 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0839694159669147 0.0642366927573795 0.026209012821444 0.0648079965774244 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167145326781557 0.123044743240928 0.0982152181012168 0.149645000985426 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.084035615875576 0.0627642082082791 0.025481709234168 0.0616225293382861 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.174718922671827 0.122274661313242 0.0953745620420222 0.146950499842034 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0876570807977786 0.0617018337187217 0.026728749827867 0.0573254840738418 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.196863039239055 0.124922507564748 0.0920641995603652 0.145620097510086 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0953419582233088 0.0632812025291835 0.0275745186116206 0.0574667615684797 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269255795284222 0.254122474453164 0.257186925786885 0.534794599137382 NURBSSource NURBSSource 22 226 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0728152012628279 0.0354844979155154 0.0327502742661809 0.0123063874258551 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269561940935267 0.254395218784551 0.257418182519649 0.535502968342297 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0731374025986366 0.0355817553723854 0.0330033055093964 0.0123611775098178 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269253204345846 0.254048313841238 0.256515687766139 0.53386457712225 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0729223283008689 0.0356856355979146 0.0328328897684476 0.0124061726785412 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269276224397291 0.253917466869414 0.256116081465782 0.53279297579566 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0725707126582157 0.0356183287803404 0.0324966633385905 0.0123558426273882 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.271916027162448 0.256161444431449 0.25816185404106 0.538505643162205 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0728909415086129 0.0359401499692234 0.0324408442238394 0.0119239257087886 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.273657459189772 0.257028512879529 0.257381785925631 0.53761104452883 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0739329058165795 0.0373258739846466 0.0327272690743401 0.0126252359004962 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.268127864458993 0.253112340028646 0.255055323353174 0.530417047813862 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0734306406163649 0.0357752352223231 0.033375386606046 0.0124647240708359 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267601219498241 0.252652036903787 0.254028279904968 0.528262060400893 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0732930465766501 0.0359089520025846 0.0332210210837836 0.0124138629583118 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267737143725276 0.252860312753009 0.252182830942541 0.5255912291012 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0744868230516393 0.0370165465755847 0.0341000608625429 0.0127918141344766 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.272676834102665 0.255074735497214 0.242541814433591 0.515358124779313 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0827571439908079 0.0432227376791067 0.0388502953153157 0.0142618495508342 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.289733031075877 0.264034443853723 0.238019434713692 0.520192604051552 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0924956299819071 0.0513616814822449 0.0423731907716535 0.0167947695004114 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30683920797063 1.44942277312332 0.330660346234051 9.10598808626026 NURBSSource NURBSSource 22 227 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0702110490171468 0.218953713238913 0.0884486947534877 0.379173488331584 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3068287408878 1.44943058532224 0.330624147283652 9.10610213670937 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0705983531045818 0.219464466704727 0.0888545484265529 0.380419928685319 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30680128024348 1.44944065328852 0.330574412478497 9.10624592126161 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0709339792212206 0.219580344121749 0.0897235354032326 0.381210762367587 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3066908993411 1.44946745538539 0.330433080984665 9.10662179509879 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0712590323014003 0.219572223891628 0.0910757127241784 0.382767533566202 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30569699161489 1.45012378873055 0.329349866004418 9.11537841782056 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0734951809665799 0.222269849794294 0.0952522010676314 0.393316674506721 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30309695157218 1.44960616673213 0.327322035433087 9.10877733560023 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0740315684121017 0.222642746230757 0.0936149043865366 0.39103208364408 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30689495744106 1.44988665141551 0.330647852846019 9.11211299437631 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0707563227456449 0.219786349639176 0.0898603535009342 0.382873334115519 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30658254532961 1.4499165546848 0.330426386464484 9.11251628823175 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0713657862468767 0.220275109737145 0.0908168057943303 0.384423075917582 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30515995632017 1.44958756005869 0.329400823376982 9.10819302959649 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0711009614013921 0.219190162771167 0.0901400055569504 0.381248627784139 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.29186336683314 1.45073416621375 0.318852401166919 9.12379351542171 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0759404270125509 0.224188840226017 0.0933807867068176 0.392940245155982 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.26568668887961 1.45290177299476 0.299102948748652 9.15394673540865 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0804817958060221 0.229718538539417 0.0938099176777308 0.403160127110825 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63676472344607 1.81576512691641 0.712646800565205 14.6776435733111 NURBSSource NURBSSource 22 228 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0235836880742832 0.237109783986117 0.00751276641640972 0.495618121636663 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63703022654416 1.8160450251043 0.712163360606001 14.6810260532879 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234184075154456 0.237164060535845 0.00745914748447289 0.495767282368843 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63698440991113 1.81603677708945 0.712100115763624 14.6809207465751 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234814454538206 0.23725829504323 0.00748050810748868 0.495986979053937 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63685454487236 1.81593347727252 0.712136944104504 14.6798078149351 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234724331205945 0.237171182348481 0.00736227350004173 0.495960073969892 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63521803801315 1.81550774840756 0.710000296112907 14.6738464959545 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242576985225643 0.237869641030158 0.0075116462224879 0.497789025420349 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63136017584784 1.81447076268448 0.706207727857765 14.6603541722377 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253168163235428 0.239363354178002 0.00773251135231173 0.501881370807685 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63645320652515 1.81546123762552 0.713251370260869 14.6738520495824 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.02324724835008 0.237053878265798 0.00718523682974677 0.495545567650323 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63615105944992 1.81529431833392 0.713192654800748 14.671989856995 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0236975882212449 0.236946378245547 0.00730800287117858 0.495425325183797 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63484075968445 1.81521758008946 0.711086891276918 14.6708560034231 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0244133875921252 0.23734647735239 0.00739416013058871 0.496594669306178 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.62024767525424 1.81607011126721 0.690447812890837 14.6918559618763 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0298683783595919 0.244314459047781 0.0087848836944023 0.518252835410372 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58882702965166 1.81336694195788 0.650754478195834 14.6683033507987 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.035181802950681 0.255498118711202 0.0099414513467565 0.555151676774858 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22839850507497 1.26811678091903 0.966097697983982 7.5245416827735 NURBSSource NURBSSource 22 229 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0712890326860731 0.0939242219937924 0.0838208141330747 0.0715585426707938 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22863983770836 1.26833978311046 0.965651195977708 7.52631795200056 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0715226801195719 0.0938930938456682 0.0841607451137469 0.0715323951279208 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2286454939267 1.26833851413454 0.965611775651525 7.52624168840885 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0716640435950558 0.0938291694044408 0.0842505680668417 0.0714562116380847 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22864141028791 1.26834566830625 0.965468193584554 7.52614196855133 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0713169839338965 0.0939359563647528 0.0840157814456692 0.0715203799075022 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.228652997488 1.26877743168033 0.963377079332287 7.52838968171432 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0716544754068463 0.094029915873292 0.0843595793503612 0.0715909591464237 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22774198185245 1.26881171728877 0.960511578505595 7.52628940099294 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0721881531741672 0.094582567811222 0.0844316886682268 0.0721778414505831 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2278577904871 1.2676395728197 0.96686361298794 7.52015799339071 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0716103416747846 0.0943038691463949 0.0852275324916019 0.0720298208926916 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22723731875449 1.26717104223568 0.967427783644522 7.51569747525875 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0719201508169878 0.0944755492549641 0.0853834263340281 0.0721525105993385 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22660748915666 1.26739098813105 0.966295847625631 7.51651463744064 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0726103226227511 0.0948720838045294 0.0866906173781535 0.0729261732858569 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21929931318324 1.26497293367111 0.956759658726 7.48307032241097 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0740138310902916 0.096139782607152 0.0836452265801823 0.0741284983086405 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20683469558249 1.26219327910648 0.932916229490965 7.43937888481068 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0785839137174126 0.10051771271576 0.0836571321193851 0.0788842961814125 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185571859815817 0.101723542291977 0.215191367226317 0.241661339360859 NURBSSource NURBSSource 23 230 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113155137282469 0.0547348420932751 0.0553956177618498 0.0566781666886522 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185586956722366 0.101748057317463 0.215255248599554 0.241704495711204 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113159980077311 0.0547214728626068 0.0554044576773012 0.0566614987977016 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185629135422361 0.101788807771385 0.215321963307784 0.24175403560348 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113187785830694 0.0547191344608602 0.0554170032807745 0.05664800003097 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185787000210408 0.101933647167506 0.2154630772559 0.241878119341763 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113309847441144 0.054439737194669 0.0554526920123106 0.056056633700609 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.187532423649079 0.103885628213385 0.217224136821011 0.244357685814823 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114229664140357 0.0566208199879748 0.0557117956443856 0.0579884987462492 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.18858044451329 0.105346400251599 0.2159662477649 0.241770292363944 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115461308820587 0.0583305339409233 0.0560698398963585 0.0578020964746681 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.185822997204827 0.101774900965665 0.215175062452949 0.241826474079481 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113448798785637 0.0554987395998094 0.0554721518749966 0.0580866406263054 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.186339929627262 0.102089323991345 0.215187242917369 0.242097400306798 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113978061633838 0.055385856367445 0.0555883935476089 0.0575047460113643 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.18740183759611 0.103016962352479 0.214823142192186 0.242107118438515 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115377039661191 0.0561296687755385 0.0559515204788457 0.0570316890714593 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.195470588127485 0.111287748345674 0.214847949069853 0.245556751629443 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122085556755401 0.0640962712613687 0.0568565865173427 0.0590226909408651 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.210131688704486 0.120836063209004 0.214278601250603 0.243434621147271 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13154653660977 0.0732336716542681 0.0580505381004047 0.0607498125364809 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.266763084814978 0.237709252254672 0.163740121254502 0.383826075781586 NURBSSource NURBSSource 23 231 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0941191223321779 0.0468077087306665 0.0364087582952224 0.0141254710292146 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.266747691202342 0.23775380774161 0.163732248661753 0.383897585421608 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0940272700250281 0.0469308325456636 0.036363684265716 0.01420558877884 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.266976194157367 0.238048442166204 0.163824594042517 0.384597816711837 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0943980224352826 0.0469769321659661 0.0365846332190234 0.0142321555132668 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267503943787584 0.238927476849103 0.164190026163961 0.38681128809598 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0945559540143023 0.0466515438562668 0.0366908676155926 0.0139465993187633 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269268939080373 0.240779532044177 0.164862077828006 0.390609204579903 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0949057003589008 0.0472848835886119 0.0367175743556781 0.0142841244066423 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270061113756494 0.241297256065031 0.163756433783487 0.389733087357584 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0950422079514961 0.0473901686018855 0.0367855622927711 0.0140909016537322 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267396430465018 0.238339269270325 0.164214146143229 0.385464644758912 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0940567886374841 0.0467177256824273 0.0363485482527066 0.0140485976780194 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.26606908593483 0.237085111475056 0.163161114270363 0.381963707687362 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.094310362260285 0.0464799466211525 0.0366035787665504 0.0138364699564026 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.26762588946088 0.238085064585957 0.163962230715964 0.384302845831651 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0948108503717703 0.0472140612496635 0.0367007345584936 0.0143494720238127 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.283789834623656 0.249588212029212 0.170354199725648 0.408646133275586 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.098821893964583 0.0507704462870136 0.0389379944738838 0.0159775953559302 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.308575352083606 0.263508482122232 0.175088208615214 0.432675933676777 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106634405650541 0.0557537533885155 0.0412200688351869 0.0179270585171172 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.42078709892757 1.58286980408424 0.423892952572474 11.0895385335751 NURBSSource NURBSSource 23 232 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0658801478360443 0.260716744861325 0.0807741800121063 0.562803055022753 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.42079406614545 1.58286000440305 0.423948749272652 11.0893961060694 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0658905093305677 0.260704317221221 0.0807815759767614 0.562795173238677 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.4205903342418 1.58335716160583 0.424029297764052 11.0964661420038 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0655429736115747 0.261165900767177 0.0803673511860351 0.564898307551545 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.42068871659376 1.58395675651779 0.424146592580899 11.1052667123541 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0656268795025181 0.261616239865222 0.0803536768215039 0.566589584233075 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.41903861522911 1.58439101712936 0.423547048869909 11.1121838027471 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0664877826551476 0.262594969115257 0.080519835083 0.571385103884724 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.41597878586598 1.58484085475636 0.422269136831493 11.1185036756629 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0674741481759125 0.263521575409312 0.0805813010874191 0.575448751411929 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.420547380982 1.5823990749554 0.424048087180337 11.0828230919865 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0661920697339584 0.260274360354238 0.0810696919826917 0.561205076731061 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.42041510063435 1.5830873134628 0.424155123643079 11.0928715143208 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0663572867146439 0.26062748191387 0.0811227954618252 0.562526853307374 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.41888611606432 1.58341023090975 0.423803615178554 11.097606640806 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0657242503871899 0.260940117067086 0.0759379056761904 0.563871330743723 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40132919638553 1.58710990774578 0.415585605048216 11.1476928001815 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0700882083260842 0.265109661057872 0.0767050903784303 0.578664995523066 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.36625418742118 1.59284582644658 0.400771572884977 11.2263540130075 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0748109549504358 0.271850656484626 0.0806184640914457 0.605610593256056 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126605124441911 0.126473728629043 0.0561205426305491 0.126170639963334 NURBSSource NURBSSource 23 233 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.048662078783434 0.055560319626904 0.0222868985296836 0.0531187145361149 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.12660676534377 0.126480834975256 0.0561272883787761 0.126156721684445 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0486588085130796 0.0556390408209879 0.0222941008860971 0.0531606044279246 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126706532332765 0.126675169426761 0.0562187341136284 0.126566742637737 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0488582722860883 0.0557093790502111 0.0225398201367674 0.0531876104454332 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126745119164172 0.126749517229799 0.0562148053949978 0.126592389330804 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.048801271790248 0.0558531357972436 0.0224092187796651 0.0532402982007992 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.127154044405543 0.127364481205492 0.0560995201030872 0.126738413803766 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0495893779375682 0.0568421564648889 0.0228443598649322 0.05367710462386 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.128173072875062 0.128474367127081 0.0559916172984514 0.127352020075097 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0509512665093902 0.057418294695684 0.0233899290471999 0.0526689910522582 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.12688839531412 0.126850285243312 0.056268452493792 0.126749980929633 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.04908589698542 0.0555325030162835 0.0226857194741853 0.0523539384610427 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126936438114441 0.12692779405264 0.056329268442266 0.126747271428839 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0491365212107779 0.0562713129439058 0.0225970498760971 0.0533678981952692 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.127716681064041 0.12783424242453 0.0563548673895707 0.127439784036089 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0496425221242499 0.0562461365370448 0.0227491199581895 0.052453542411469 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.131778083416937 0.130985000892993 0.0558897082400217 0.128929163731277 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0545748464672482 0.0609947878530968 0.0243787652053771 0.054866166537323 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.13821109439041 0.134633543950103 0.0546925593396155 0.130630862776119 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0617644405686096 0.0644818876113457 0.0266285700107402 0.0539180567472127 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430503508324506 0.442845166317806 0.512485415531325 1.40119187037864 NURBSSource NURBSSource 23 234 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0731976619611534 0.0682860338501408 0.0878959433954575 0.0664967950273365 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430263947963197 0.442612885899146 0.512480726554313 1.40033352391199 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0731089764949946 0.0677211833615582 0.0878788489019838 0.06568329585851 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430244205806738 0.442612686955579 0.512493250245876 1.40029170920071 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0730819385616186 0.0678735490012426 0.087909752231761 0.0659441944021795 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.429882247653602 0.442330654374481 0.512373580446006 1.39904004656713 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0726992140138733 0.0680987350435395 0.0871096128241492 0.0661411204988278 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.429990502067724 0.442764072469124 0.511628868978304 1.39923216189611 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.072997297153064 0.0685995362823076 0.0866070148515213 0.0660554448887813 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430595553646572 0.443631375072519 0.510397308086037 1.40054719930645 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0739658815326182 0.0690294485868897 0.0870157363311582 0.0659728846864781 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430332147087042 0.442728913127103 0.512277352460437 1.40071990187962 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.073448032353558 0.0678948151556339 0.0879817924918172 0.0659537293595642 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430036931203979 0.44257192140511 0.511838033155088 1.39986260355599 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0741981111649198 0.0679447465544595 0.0886060697334612 0.0659744694473744 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430729858550001 0.443667816889818 0.511064256365406 1.40300330738829 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0755150983538246 0.0681413773236298 0.0914449318118744 0.0656566762617754 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.433222707281318 0.44816928844566 0.500539527995878 1.41113563062138 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0805321797178739 0.0717939088418923 0.0916604786499205 0.0680598994792967 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.434335874101979 0.452074586322961 0.482680686194455 1.41577521011527 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0869614372052614 0.0767664022732456 0.0922854930578714 0.0715319270010659 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119207665580168 0.0865958465015923 0.069437835480165 0.0914818522670942 NURBSSource NURBSSource 23 235 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0625831491111942 0.0539411669646656 0.0230840058354133 0.0536623343161743 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119232542585978 0.0866225515273095 0.0694345604774991 0.0915127982603368 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0626398602784725 0.0536281134653592 0.023096087727988 0.0525971083357712 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119264798990575 0.0866565527192607 0.069430360985295 0.0915461094304071 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0630327324373061 0.0531739021943185 0.0237804684949568 0.0516473076439277 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119320118140031 0.0867491836734817 0.0694931617006313 0.0917971985727689 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0629205900287401 0.0532927883545721 0.0232220474235836 0.0517738939893473 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.11955455062596 0.0868882553924716 0.0689566685067389 0.0912950255977904 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.062911784138186 0.0555101628369762 0.0226773910264202 0.0557007934536457 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.120681626872149 0.0875788449844037 0.0688867768880817 0.0914888848244028 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0643648040750104 0.0566554017023137 0.024246397145174 0.0568584514838846 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119044265656258 0.0865568222632057 0.0692032711653647 0.0913163768544207 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0623836249633842 0.0538520543291799 0.0230496964214341 0.0532823014125992 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.118618710602276 0.0863841974273835 0.0688356993169003 0.0908783830866255 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.062134056559072 0.0541174118640872 0.0224401581467851 0.0532271274234221 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.118964974134316 0.0869619778997873 0.0687422166042443 0.0910938589721461 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0618390536597217 0.0546999052155651 0.0214482393137784 0.0529393444699538 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.122546882843385 0.0884913746899276 0.0664137594187913 0.0884846189764372 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0655434336248473 0.0591978214166532 0.0236261448336437 0.0525059044818549 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.134509082126755 0.0916263648657962 0.0643225865162341 0.0863457338393638 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0725728539944942 0.0643876741027437 0.0252044063660216 0.0540130692978308 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.265700069982139 0.25570257494932 0.291794071942091 0.571400238784464 NURBSSource NURBSSource 23 236 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0531282414020185 0.0299509961930324 0.0204923219595995 0.0100735696456893 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.266083991436631 0.25609739172698 0.292061926567658 0.572517976326432 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0534114518225129 0.0299652403088317 0.0207419102042495 0.0100829393038498 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.265032437391589 0.255064521201872 0.289880665299428 0.568342007965866 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.053330985959652 0.0302041037410008 0.0206918649730256 0.0102475717820094 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.265657952252453 0.255749231863103 0.290882729147982 0.570481947720009 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0534017567759343 0.0302974129378623 0.0207119146216121 0.0102327807301314 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267342811873515 0.257716077885565 0.290696032147498 0.5734819951215 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0545869984271013 0.0318879235545672 0.021476174690948 0.0105979632421575 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269086189472388 0.259531557805928 0.289966436311155 0.575553449438856 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0558896498794484 0.0338328144109868 0.021524328605302 0.0108533409572235 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.266548213327321 0.25665281034271 0.293671245319933 0.575193210860757 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0537107257851483 0.0303078177162441 0.0204862305381755 0.0102907087577722 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267896028543562 0.258075093265234 0.295360601575383 0.579373102445172 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0543578930494438 0.0303678228973276 0.0211696713903724 0.00999867313685068 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270166833061129 0.26055993731161 0.298244447294135 0.585740567362194 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0537736193941191 0.0315093036064257 0.0200357221352043 0.010044827037915 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.278738413016383 0.268315684686591 0.301625554748405 0.596473218264294 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0606515033252108 0.0386845742312883 0.0216215616151699 0.0110632472101368 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291234463153995 0.277028679769193 0.303826273001655 0.603737543399834 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0704542472858781 0.0477559605114772 0.0255636181497623 0.0131861598589628 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2076591317804 1.33376887313463 0.227746690321995 7.64850242351092 NURBSSource NURBSSource 23 237 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.091119071336731 0.215846638006558 0.128513590138767 0.400259373281358 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20747529502843 1.33367772784553 0.227930359348057 7.64742805839711 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0909971837020014 0.215845964937015 0.128186701906019 0.400173064048828 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20745650554406 1.33368737893317 0.228010483113354 7.64751999983739 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0909698821274625 0.215828372841127 0.12808570665887 0.400108038099932 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20734981141681 1.33371720434858 0.228143969643109 7.64782737868369 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0907107472963263 0.21598971821871 0.12671678819004 0.399465195992501 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20619434043221 1.33413284229292 0.228225444725153 7.65239402711021 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0907289503513189 0.215354908949665 0.126345055383675 0.398298705588604 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20376932673046 1.33491838618328 0.227628735408781 7.66119022696877 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0903854153782577 0.216088161325529 0.124612191116351 0.400409379887001 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20742917925531 1.33379345311586 0.227740285366192 7.64885259123317 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.091309444850437 0.216359515484485 0.128766607234168 0.401664069193785 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20695624520868 1.33385786717954 0.227629410365062 7.64967342920262 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0914627630946465 0.216468640048687 0.129681277951852 0.403647610609849 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20550475399952 1.33427006827919 0.226930642309656 7.65449121958 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0905441767795481 0.215289494273498 0.127060835488745 0.399240787659812 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19003546390859 1.33720553813624 0.220139620041814 7.68927145666716 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0920565746890262 0.217663067412704 0.12527079536504 0.403859218446382 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.15820448993411 1.34022456301565 0.208563014715706 7.72441219862047 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0971282336044175 0.224392801853345 0.129808219831995 0.422035846722019 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59785397719695 1.76763129914869 0.534626954863432 13.6218606545317 NURBSSource NURBSSource 23 238 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0271861663160962 0.221235228802164 0.0149124664801576 0.412114361930459 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.5975597415317 1.76738546396775 0.534928293844872 13.6187052934432 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0274331369935403 0.221276992495289 0.0151099560890155 0.412124864690531 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.5975095410425 1.76739623596873 0.53484634339146 13.6188511973827 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0272604663138221 0.221304379469282 0.0149776716430443 0.412169674966309 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.5976615244174 1.7678433560062 0.534121590707152 13.6247328134782 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0274450130315284 0.221432245248372 0.014934804625151 0.412454929690254 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59484537712718 1.7669133334672 0.532427918337817 13.6115476421077 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0293851795199442 0.221722820615863 0.0163659441714207 0.412671387758593 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59069558667641 1.76713772108715 0.526910044294188 13.6144314628895 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310328284200008 0.222973116543634 0.0172525072335056 0.41603320097888 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59743263642624 1.76736597546924 0.534971227130647 13.618737335893 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0274242904145089 0.22146092652913 0.0157048523631785 0.412523650004801 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59672477677275 1.76721880843958 0.534910445681767 13.6175706157508 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0280097044848819 0.221780203084454 0.0162045206357864 0.413263437508876 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59409157890674 1.76679837494118 0.533613870555897 13.6132978684642 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0284056690162413 0.222776070179879 0.0161803291257025 0.415640859977183 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.56923694068986 1.76461600291159 0.511864661763665 13.5881592567684 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0329433234404801 0.229123487913083 0.0182873909034699 0.433512314341396 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.52187373813086 1.76161473425342 0.47134283684211 13.5567074016125 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0392563795209 0.242061098989782 0.0216476679894452 0.473143895703025 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24562305700794 1.27367777911827 1.00783827318875 7.58952626676661 NURBSSource NURBSSource 23 239 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0660912366327784 0.0676989564806823 0.0787830663971541 0.0422591823405201 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24569648596784 1.27374184485437 1.00768454080808 7.59002177895203 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0660784715568003 0.0677944207840795 0.0788131119296315 0.0423239486288955 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24564392921293 1.27368726779821 1.00777972058397 7.58955788829575 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0662111694843736 0.0677406887015867 0.0788945291553921 0.0422867176642049 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24525289946233 1.27332406625645 1.00829317481047 7.58637858924477 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0664530512075686 0.0678296075007311 0.0789975974022611 0.0423234263483487 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2442884401847 1.27276571694063 1.00806033575181 7.58062551269069 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0679259997807022 0.0686110743471577 0.0806779869113841 0.042883520169248 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24336196671375 1.27245597815151 1.00615206959564 7.57574058640746 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0684578649440433 0.0694676884655866 0.0802996799949199 0.0430723570528019 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24569988243411 1.27374220878717 1.00764719637199 7.58984091581743 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0667154404981278 0.0673791226721111 0.0791334577081999 0.0420615108441548 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24576742693473 1.27388105880445 1.00715540698153 7.59065753020716 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0672946160931624 0.0673561397484918 0.0794091048578593 0.042118871246833 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24528598820801 1.27376639823454 1.00613532604893 7.58847056207747 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0680473927123505 0.068007773945286 0.0804457204344578 0.0424760659206407 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2397305090745 1.27162684976144 0.996771671506228 7.56028157868638 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0699755920644834 0.0718053460640399 0.0737567364954001 0.0425608374776212 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22756636291639 1.26717292140103 0.978028538074243 7.50712341371042 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0756148550943763 0.0793925196403195 0.0709009079761354 0.0465642237088781 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.188640686844339 0.101719111780709 0.215705498501146 0.24006982256904 NURBSSource NURBSSource 24 240 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117926639708199 0.058540525107785 0.0597142285513386 0.0601138247476644 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.189054202724464 0.102093031792244 0.216283090863606 0.240910011331491 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117882762693972 0.0585424595001998 0.059720872051289 0.0601023256988109 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.189119035811489 0.102163259265067 0.216298994197341 0.240899804124309 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118106606289086 0.0586312536057757 0.0597688630976379 0.0597559787207798 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.189174734514891 0.102242075635485 0.216413411758499 0.240916864811516 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117932769540736 0.058998257055775 0.0596534343897685 0.0607104410622836 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.190405197864945 0.103255275335718 0.217138666434 0.241104861326958 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11853370179438 0.0605762170972096 0.0586968310555884 0.0624481023501919 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.19261302313661 0.105236507990272 0.218143331449896 0.241675513740869 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119702724179053 0.0624464313709113 0.0579529838545928 0.0628543720380696 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.18913262927005 0.101810712294406 0.215939938629967 0.239666635570857 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118512096164691 0.0590467242079314 0.0601479648207097 0.0600540447610527 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.189633328285499 0.102183243328772 0.216456542536981 0.23983701087379 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118712233344878 0.0596306333045309 0.0601813196967233 0.0610884035097752 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.191216848871724 0.103291849553087 0.217178353734706 0.239566666746655 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119957924229225 0.0610334235195895 0.0607399475687206 0.0624741985487109 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.201258288467861 0.11115128635243 0.219726834762835 0.236110477179069 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.126867402231215 0.0661343029243046 0.0634471739885361 0.060205918098937 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.223675502360136 0.123914720951876 0.230532166570367 0.241741489593585 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.137265299013705 0.0727179021824582 0.0685543121805162 0.0592709134967819 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.26814767227292 0.239938794161679 0.164105739607258 0.388067013087631 NURBSSource NURBSSource 24 241 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0956636282291763 0.0489004054714173 0.0359228718967944 0.0152143615812312 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.268930071939571 0.240674649462865 0.164816876789256 0.390106094934117 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0954870805126502 0.0491702061195756 0.0358340484365899 0.0154011740366456 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.26873037436993 0.240454256217865 0.164668541201783 0.389469408292268 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0952993007924272 0.048837538219312 0.0355546033804769 0.0151304101600609 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269050084402914 0.240652035127476 0.164542680389015 0.389571118189062 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.095378915340316 0.0490063267897851 0.0356345093582895 0.0152666900079125 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.272113995142711 0.242718601526963 0.166086620492868 0.393484790243095 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0955511500578036 0.0493300813083259 0.0353667749853011 0.0154513995610137 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.277164063452282 0.246447721489407 0.168759809394672 0.401488571361048 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0980436739791798 0.0490048715441245 0.0366238771147237 0.0151402628738218 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.267884936154596 0.239486473527633 0.16361362353669 0.386319745262484 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0951188149974843 0.0483849609600324 0.0354529094232963 0.0147828147562282 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.26739627537828 0.238872809389815 0.16299702945648 0.383658434645135 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.095218585899521 0.0481680793170089 0.0354381354218731 0.0145946537565194 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269474888247981 0.240529772694946 0.164231686163784 0.386122023663636 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0956104269762277 0.0480454032427512 0.0355839115315723 0.0144432869519876 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.291863051402282 0.253394189251061 0.177611740608868 0.408659600094378 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100421311474088 0.0498976577783143 0.0370131473397764 0.0150793895413422 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.322743438594819 0.265440778357692 0.195812898400499 0.427244746885991 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10757640389338 0.0544040781373472 0.0388747255109407 0.0172245179532948 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40804383997723 1.56891513304456 0.405399460244639 10.8802142693841 NURBSSource NURBSSource 24 242 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0625906363568145 0.262921020420849 0.0559168645588688 0.566313083944961 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40802792976365 1.56892207659277 0.405402694731197 10.8802524834786 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0625939140368772 0.262929184890001 0.0559184072955079 0.566295803362029 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.4077533751582 1.56803264883192 0.405280760826256 10.8659685458622 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0626184593559792 0.262228280854333 0.0559346430085941 0.562894432925771 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40762458792318 1.56894412793272 0.405126581235421 10.88016569482 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0627060108562113 0.263045023478334 0.0559459132525935 0.566859063067482 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40534025930688 1.56871984575186 0.404233871741252 10.8758512717405 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0644209370600576 0.263049464992638 0.0606420336721273 0.56640914851378 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.4011766529331 1.56885066941702 0.402649442249131 10.8763236157773 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0664955430425107 0.263526109693876 0.0651756081365023 0.567717175612026 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40813661423739 1.56913782377933 0.405054166078554 10.8833008015569 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0625178558957258 0.26306224182802 0.0558323803337053 0.567001133330085 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40724117979719 1.56846807980996 0.404494934425296 10.8729840912776 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0628064205190613 0.262769295140778 0.0559501452574787 0.566072843772357 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.40476185681694 1.56734747810955 0.403367891147626 10.8553617452469 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0645725816271179 0.262381952417093 0.0611069830424436 0.564434280094216 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.38301880212685 1.57202965895184 0.395059073138852 10.923061555299 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0718661484932789 0.26887091329437 0.0781928465396728 0.590971871240277 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34005633414648 1.57549507553531 0.38191396199005 10.9583616061137 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0793193979137053 0.274659904007252 0.0847829259383286 0.610220261574527 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125820569831855 0.125202571565763 0.0551895903945578 0.123057064316982 NURBSSource NURBSSource 24 243 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0498709574590315 0.0553739355504685 0.0225479401377172 0.0504260286365695 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125921978659133 0.125303769863782 0.0552571732828552 0.123212419273729 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0498649031807847 0.0545966037234979 0.0225563702746583 0.048662199185389 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.125952980728767 0.125341828078782 0.0552569255052541 0.123260699490273 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500277990813248 0.0547973450082307 0.022686324848046 0.0488630917005499 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.12591214062164 0.125304645428645 0.0552299820721081 0.123167907197214 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500603549525003 0.0547616123231584 0.0226771433852165 0.0484737991059319 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126855313477319 0.126396926471303 0.0553380911383503 0.124263875034608 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0503633806988011 0.0567142862321105 0.0228603087561771 0.0513010817892603 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.127955463172871 0.127444051767929 0.0552763180403528 0.124726766256053 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0509410129990673 0.0561364198535628 0.0229553507964227 0.0485062884477894 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126057814298578 0.125670390012857 0.0553601680513311 0.124145090679501 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0498181160453597 0.0555723600542552 0.0225551848513475 0.0507212329532263 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.12589359143676 0.125573379982253 0.0552361766499768 0.123893442266413 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0497716256617588 0.0556615467314003 0.0225126323657895 0.050424021083797 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126105473104829 0.125837376984103 0.0550181029621669 0.123788674870237 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0501293759544529 0.0563299298728871 0.0226681164394553 0.0514209762579266 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.130600658410719 0.128902186312005 0.0538518777954303 0.125185143230468 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0552806634525345 0.0594469483557517 0.0246673613532419 0.0512176886569852 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.138574263824457 0.131361005868268 0.0528989384513111 0.12456347003649 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0616775249790142 0.0620413188505662 0.0264777388072825 0.0490537676419789 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426793702508254 0.438736367046171 0.499587534435387 1.37341232430858 NURBSSource NURBSSource 24 244 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.075866257878269 0.0712579551485446 0.0885869119403222 0.0685728563246866 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426403014064578 0.438074976387777 0.498944480529215 1.36931499577709 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0767823905091432 0.0709364146651705 0.091421557927318 0.0679957697441417 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426665747848377 0.438336727860088 0.498985210997714 1.37034548736868 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0768918076612489 0.0709034382671538 0.0915062540603985 0.0679834317139035 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426696222254011 0.438678932358835 0.499177054333445 1.37314577253149 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.077157273343877 0.0712915877259225 0.0916102289047901 0.0685769443452962 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426508321076573 0.438345735540786 0.497695223196931 1.36910167536724 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0763319170721339 0.0704942984413628 0.0891018373443003 0.066591214428469 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426532784299459 0.438990716166759 0.494954312812377 1.36976009051509 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0776902546231383 0.0710279167717958 0.0895340349138251 0.0663535259436172 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426535544957447 0.43857160197386 0.498972990363084 1.3711481643299 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0764759560152293 0.0707511990349066 0.0907173231123594 0.0677102620377429 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.426093906178118 0.438433072675967 0.498276202840065 1.37014410092427 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0769106812978029 0.0707701170266414 0.091195564791809 0.0674392307606355 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.425622339091993 0.438808308906426 0.497213726809752 1.37144690456598 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0770693414151619 0.0717786973237431 0.0907704483967493 0.0686521502997594 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.427629827354721 0.44259932209207 0.485008585661847 1.37462393113318 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0787735601359747 0.0752626148915155 0.0850353976474594 0.0694476350387277 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.42990496086241 0.446320397353203 0.462287554344586 1.37319242412222 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0851085683121472 0.0807653326126429 0.0866989801241515 0.0733109769636965 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.117360282853873 0.0843828132573846 0.0670196884049687 0.0871090613315009 NURBSSource NURBSSource 24 245 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0633948464029787 0.0534392621513594 0.0212218162947647 0.0513936761526523 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.117367233347007 0.0843578560664329 0.0670264088233552 0.0870699848490403 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0634849345150975 0.053521279019105 0.0212723084256675 0.0514617074018069 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.117126729512237 0.0841106961588297 0.0669041738806286 0.0868055754400271 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0633731634161347 0.0535030281202956 0.0212455739261148 0.051429971573143 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.11721421373139 0.084151600487053 0.0669119922117953 0.0867691916197321 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0635742263237417 0.0535069228604107 0.0218690647590656 0.0514058510602122 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.117690670205998 0.0842151021693454 0.0669475052493101 0.0862853714430348 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0644625540280489 0.05558878152074 0.0227519789142453 0.0541834231241504 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.119022627485077 0.0846007130117156 0.0670590388497514 0.0858028509621604 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.064992330792939 0.0566846822670918 0.0228661775172488 0.0548031992299984 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.117290812644687 0.0842517346136409 0.0670060905650816 0.0871334795638796 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0635589259756513 0.0538252429468343 0.0212860467279773 0.0515348765440167 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.117350746020097 0.0842987639349983 0.066956176380543 0.0871981397100845 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0634129343749844 0.0547945776296677 0.0212257659054034 0.0531166170984232 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.118649036163715 0.085538928945264 0.0674725991438156 0.0886000087202198 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0634091370088368 0.0562167637703659 0.0205334528499875 0.0539657676551078 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.126133686946204 0.089439367931033 0.0681196263470825 0.0908205106497859 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0670296592823403 0.0614150898038423 0.0216703085834804 0.057533529683854 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.144199191208923 0.0948424850746524 0.0697080073007119 0.0930067714129806 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0729521975944509 0.0661140233312297 0.0216092881193427 0.059440472526624 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.262873278308815 0.252259233926564 0.284816384862997 0.557263714996891 NURBSSource NURBSSource 24 246 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0559381428701551 0.0332315836529809 0.0215866989858954 0.0127265568489863 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.262378524459302 0.251733355321271 0.284414577547556 0.555677876283555 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0557726180201322 0.0331754831468177 0.0214662290338922 0.0126761879869621 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.262897575223872 0.252318550553131 0.285415609302881 0.557937668695889 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0554868152915276 0.0333477688812049 0.0212809505498229 0.0127455891845634 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.263159377569106 0.252689441621525 0.28549820250225 0.558619867445699 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.05546227481729 0.0335468508584764 0.0211495698798806 0.012821963884632 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.264862275439654 0.254586145611487 0.286743429340241 0.562956846910369 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0568952235497139 0.0345649170130068 0.0217136191667222 0.0128716625009667 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.266012342936457 0.25557929883557 0.284286073495152 0.560032199272513 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0583863638344121 0.0358619167142988 0.0217145969083836 0.0128068805816703 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.263683994215151 0.253223413479694 0.285627444810227 0.559796334290842 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0561055726961506 0.0332718699719211 0.0218670064992269 0.0126976260388078 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.263162872141958 0.252892113269297 0.284074369972482 0.556919055135987 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0560500327673675 0.0334760128702034 0.0217220684426493 0.0125872829268499 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.264760951574645 0.254876144120317 0.284013260073635 0.560236846895562 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.057336845541203 0.0344882602207025 0.0226094979762904 0.0124417017679091 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.272462239948243 0.261983279460301 0.278073045391072 0.562282549787003 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.065217069715314 0.0418353779031315 0.0255757796329439 0.0139409596460403 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.293056081727093 0.275293959686253 0.281155217594167 0.578860288675337 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0761193807224279 0.0515480712177251 0.0296588114929415 0.0170682478129306 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19874339817411 1.32220483162696 0.21364981465863 7.50510342700192 NURBSSource NURBSSource 24 247 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.08429751346995 0.209122239563928 0.111009976339359 0.370216699177479 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19870861301458 1.32221379776046 0.213663644694094 7.50521067509648 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0845198747272559 0.209001554396545 0.111809742878998 0.370256388222011 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19864496381194 1.32222775206648 0.213668072706431 7.50537612030218 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0846548980585313 0.209167649941962 0.112083766420556 0.370623069157654 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19855961630291 1.32276999583669 0.213666472581146 7.51207456579436 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.085612066941451 0.210350126881084 0.114530195214961 0.375359099404829 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19686303443343 1.32388282850814 0.213188268258436 7.52572062978682 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0849263451453709 0.211004823996254 0.112335985423635 0.376014754239602 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19296257755984 1.32436201837927 0.212160764976514 7.53154785253507 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0862503835563984 0.211776591996071 0.115800904946277 0.381139203249233 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19854294569865 1.322225359298 0.213723719187481 7.50530958779331 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0852831740651467 0.209540392152279 0.112832294650434 0.37115757449214 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19811353939291 1.32236840043859 0.213714721843535 7.50697139212272 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0860773059753361 0.209697043743775 0.114312682084968 0.371820908165929 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.19628200959344 1.3228204168613 0.213427125744214 7.51221848087407 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0851443319207205 0.209383106410901 0.112209842689221 0.370970308535687 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17584460437334 1.32662815227514 0.207805312397664 7.55516112696792 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0900596585852234 0.213175055865533 0.120200782859692 0.385741307389278 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1370117907279 1.33280793622294 0.206482687134522 7.6289463808925 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0990754856357275 0.224265234285368 0.141345424087078 0.431595863837272 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58784210569145 1.76389347085361 0.5108808839726 13.5621799212252 NURBSSource NURBSSource 24 248 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0309047971520709 0.230068033564059 0.0191827814864494 0.441501683184549 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58778531920799 1.76387165447065 0.510763220233223 13.5619145015394 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.031186302933545 0.230089102953536 0.0193309311374549 0.44155432323644 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58743131835764 1.76359606803807 0.511070718488071 13.5586842692869 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310023386548242 0.230118932570122 0.0192326514352784 0.441638253158262 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58697835923002 1.76312562320019 0.510696711692796 13.5517350127923 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0311307334047765 0.229867081302556 0.0193111100978181 0.440909499023985 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58409120172468 1.76362815048348 0.50849845691975 13.5640064251945 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0315116147026788 0.231140738084324 0.0194848078338916 0.445924368572376 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.57823754597972 1.76253315166409 0.501826310451566 13.542985501153 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0319219637486998 0.231635505353593 0.0195051295354366 0.445418886244204 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58785987642964 1.76460658381234 0.510294606718208 13.5717654176569 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0309415071688709 0.230560705254088 0.0192392078548662 0.442744429186205 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58716031059516 1.7648834539428 0.509956838402391 13.5757743806913 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310938045712018 0.230605305640203 0.0193471682721362 0.443019889620971 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58371532368118 1.76491056339937 0.50933676055842 13.5790202074332 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0315346928900778 0.231692488534701 0.0194177036371064 0.446430027781348 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.55258986443413 1.76339540727142 0.48508607859627 13.5599749075913 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0322865679492309 0.237903138476734 0.0171096059741113 0.465622787486461 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49249264091644 1.75573583142854 0.43720489753654 13.4426210294087 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0358715466591523 0.247506108463804 0.0165185275670836 0.492597543973682 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24024917854301 1.26770601021957 0.997968767909441 7.52053676593855 NURBSSource NURBSSource 24 249 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0679168620204337 0.0698787874558956 0.0795805232474011 0.0431217537006081 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24003127089561 1.26742480322557 0.998331150383325 7.51801638515315 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0680306242754044 0.069875972080574 0.0795999703361304 0.0431221091297286 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24017514916647 1.26751588226017 0.998089296996369 7.51863516460666 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0678915741620146 0.0698051744031457 0.0794012372026897 0.0430551813504492 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23980635814653 1.26708650963594 0.998591261512624 7.51466837723303 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0680581582050686 0.0698070835332152 0.079460581221289 0.0430304815284373 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24092436332436 1.26840925036935 0.995797113608917 7.52485607113203 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0690861123636224 0.0703328568301052 0.0794998977600262 0.0432847102724769 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24085757362616 1.26908548968774 0.99208862821895 7.52858548079134 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0699774081864711 0.0714392016879762 0.0788585204530587 0.0440109717432863 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23998833640992 1.26733838528585 0.998303216265768 7.51722480397277 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0676299535499276 0.0699748188652168 0.0793034939656041 0.0431096772541381 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23940149530083 1.26669258550414 0.997757358811049 7.50990458590497 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0680756950758731 0.0697749737087942 0.0794305040480687 0.0428798950158724 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23862360796345 1.26611200506794 0.995787176870036 7.50168305000651 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0687252334148058 0.0700698590872014 0.0794812077383851 0.0428251155958493 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23318869466666 1.26522865735338 0.982368687445782 7.48547753768976 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0736802235274278 0.0746608983818058 0.0804104865585019 0.0464186244863613 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22006487979796 1.26204601905612 0.957249103299658 7.44190039952245 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0793579247010389 0.0814828288137256 0.0794085435855542 0.0509362542061158 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.25917526354965 0.180825704602733 0.296140145797421 0.438114851401397 NURBSSource NURBSSource 25 250 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132517644457858 0.129965162965067 0.0605940481800178 0.172152468024541 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.259343430560975 0.180909483978103 0.296240703533281 0.438142650996244 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132469157432227 0.129986438723554 0.0605581647686683 0.172181558037598 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.260822866555554 0.181903012269588 0.30012741002472 0.441116911611691 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132428999022384 0.130668092616559 0.0605236721938122 0.173294594580225 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.260399774214098 0.181075704792068 0.301143876075463 0.435218877046382 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132362245204569 0.130024310954836 0.0604699873180733 0.171844436041811 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.264413232310185 0.184318929580687 0.309546318486967 0.435627624220128 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13295088537798 0.130387551514098 0.060674431932186 0.171524594844834 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.272678866325968 0.186002656988036 0.326829657433691 0.426434019532705 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.135210264383679 0.132938416868412 0.063671192124364 0.174509111812244 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.259655176530819 0.179573535130495 0.296925237973332 0.433035966210241 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132546219514885 0.130021956148233 0.0605407156636153 0.172516565766799 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.261268283573672 0.180223513983321 0.299814926981691 0.433133014755592 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132667092912288 0.130059902917801 0.060532053917934 0.172185358258769 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.268326188262455 0.184061795367846 0.313921701157611 0.440030332871866 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.134171579337733 0.132186161545397 0.0612818565978735 0.176806562128044 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.325687837670718 0.204976509818253 0.453174544332413 0.467293588026769 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.149751770742187 0.148803915096368 0.086480281710088 0.205089023687814 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.40495896608166 0.22788961487092 0.604925358836333 0.483262576288955 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179396185389991 0.18305080781856 0.13108877854608 0.269863010879732 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.328065060496805 0.369782571159961 0.19635481096797 0.878603625078457 NURBSSource NURBSSource 25 251 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.127373063337575 0.160914620413405 0.0735468041776429 0.208306221049463 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.330305038968444 0.371335894426622 0.198068201149745 0.882860781832903 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.127882671594809 0.160711091494454 0.0740483581111604 0.208076495961226 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.332320677348413 0.372403801729414 0.201282061652198 0.886480231438103 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.127202728625263 0.160755203767965 0.073358226959547 0.208034097031244 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.341358125326029 0.378129951193858 0.215425729993778 0.904068421233165 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.127518609307568 0.16173187674499 0.0739761854192223 0.210171033068216 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.371362186404129 0.391154291804352 0.282700605377285 0.939322476849902 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.129663714979674 0.162771648370739 0.0748740961426792 0.211761733937061 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.403601030536007 0.398502423912652 0.363977647828841 0.9531740246675 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132669738878856 0.163780263490037 0.076915028638495 0.214268609224377 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.337420281762721 0.376434509350577 0.20309530398658 0.898478654453724 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.128516810397225 0.160128964468887 0.0745985396798058 0.206378093688514 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.347763395251997 0.378762516223558 0.24906337352002 0.903403244706282 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.128992183006559 0.160111529552911 0.0748854260561401 0.206093192846571 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.36782570625886 0.38711432237282 0.28561693456999 0.925163485819352 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131752407441479 0.159161387750537 0.0759735250504724 0.203125167554839 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.45662364789895 0.408331956973018 0.506485983929925 0.977619096053135 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139725423886001 0.159009288558194 0.0775628958675019 0.201993249579404 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544746084970766 0.427059655266084 0.759811477395466 1.02407579483247 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.16008954116191 0.162730478127965 0.0895465139220615 0.211005055728739 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34234832562387 1.52114593418086 0.409642266520034 10.344589799568 NURBSSource NURBSSource 25 252 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109017850297519 0.315264265944258 0.158303897701471 0.839248376298426 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34195415400174 1.52128935508219 0.409915621635375 10.3461515432341 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10903100021028 0.315442871540946 0.158265496389132 0.839768638744571 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34107120361435 1.52162167573567 0.410802536909823 10.3502664008006 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109174874556311 0.315555071987998 0.156003295321714 0.840232943273098 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.33967395298684 1.52194123465864 0.417541538363832 10.354433903096 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.110484394362509 0.31657267947866 0.162726049742627 0.844414655497204 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.33301775349786 1.5255235103236 0.435334780388306 10.4066674515132 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109862312588083 0.320598671043847 0.153634831292868 0.862491009116768 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.32160414416717 1.53033547191702 0.445443124577358 10.4771190953685 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.112886377451878 0.324522373314787 0.163787643369165 0.880775885977262 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34197109244929 1.52208308340745 0.411190680073453 10.3582767459802 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109559785834482 0.315968080111346 0.162370702437332 0.842245247321564 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.33932931596426 1.52346601137969 0.414929630886534 10.3786325515037 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109820169501454 0.31881684591144 0.159007747805847 0.853859248259836 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.33453522866142 1.52553231509997 0.429918544656403 10.4075194409719 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109926155516749 0.319326857011061 0.158500445252643 0.854164870634636 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30105644984911 1.54072287570619 0.565391681445647 10.6251292218437 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.130493384162186 0.332995526256479 0.225044712924393 0.927761538706101 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.24546408285016 1.56934945053521 0.719256821732425 11.0493202519498 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163730120112822 0.364756104455512 0.329683972350255 1.09125765594619 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.159245716328516 0.170575970743511 0.067088240789944 0.195864794993645 NURBSSource NURBSSource 25 253 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.074910547779524 0.09942745255246 0.0534095848960483 0.10742831853506 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.159196345192805 0.170304810031968 0.067143236132708 0.195310849732598 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0748153041064677 0.0993696289025953 0.0533673100991244 0.107346946985659 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.159229879344724 0.170047463489742 0.0671956307093732 0.194789921354022 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0748445363381848 0.0989505301381777 0.0534272487843447 0.10637555230793 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.159553347812685 0.169885113296355 0.0674204866243626 0.194442476820541 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0750573517721763 0.0997115228390101 0.0535937372076525 0.107461958986487 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.163815235960218 0.171472642531088 0.070754087188501 0.196752782594052 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0764097118668821 0.0996525491029519 0.0547722128686783 0.106734445072493 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.170794970771719 0.173371122504896 0.078762963933606 0.19876847636863 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0785263649073675 0.101719653284736 0.056499912096209 0.107670394352988 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.160080759264597 0.171156561821684 0.0675036734514835 0.196632400072777 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0750122817364913 0.0990769215019319 0.0533831715963707 0.107047181604211 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.160675559456712 0.171455439424399 0.0677538705666148 0.196809105427589 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.075271813353746 0.0986442425849137 0.0536398052661434 0.106498315559653 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.163215937668552 0.172834305551387 0.0691455968524948 0.198660352772699 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0775321687318348 0.101070572265439 0.0552696827979681 0.109094712791118 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.188735436184348 0.180124074555678 0.103713638500203 0.207399905949072 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843873301465555 0.106304127820278 0.0578794985793583 0.111740463985398 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.219403408672363 0.189452213646751 0.145233730750221 0.21646697229349 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0962161346804918 0.109725666451562 0.0637462892447384 0.108505938886564 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.390965808407888 0.43001148115598 0.408503964079428 1.36657695331752 NURBSSource NURBSSource 25 254 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.084682968232374 0.119883494594381 0.101334301881044 0.166594347832288 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.391519435763822 0.430617620910112 0.408981487869917 1.36863990079317 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0844847817321156 0.119916247846564 0.101115916526615 0.166595259710439 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.391548354202466 0.430727674446984 0.409143568327819 1.36869718598834 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0844679448002684 0.119549856120032 0.10108772540635 0.166006431858973 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.391208363863333 0.43049097968576 0.409122369774685 1.3657127940096 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0847653471942032 0.11971830809049 0.101278463095129 0.166046038581444 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.392974298839727 0.432811830369372 0.411374355154975 1.37071749650823 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0850972286911148 0.119385573050345 0.100619731395131 0.165209644206253 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.395305227187227 0.434812428000415 0.412893161944977 1.37231587012965 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0861860705085445 0.119741203027256 0.0991030023383138 0.165141806902684 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.392575740390409 0.430991650592264 0.408994267760828 1.36885447193324 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0843164129749064 0.119225430685412 0.101012076858536 0.165601158514305 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.393869374501631 0.431534929917844 0.409214998574321 1.36728534639582 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.085030638606776 0.118748581999288 0.102541351428803 0.164196152797218 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.396642163881801 0.433563120173961 0.409466883269708 1.37089748706022 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0855266198459331 0.118495495233926 0.102756352625767 0.163607696691103 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.406547260621048 0.442530542564608 0.411480735261221 1.39344922245741 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0936549051509755 0.125721364276765 0.110972984255458 0.173718808716146 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.422711967990012 0.452330224629146 0.419962900798862 1.42585869134887 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108113285704109 0.13648788342591 0.12744907723228 0.183703312022604 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.175981543590731 0.143911507452728 0.112802705138639 0.192437566198675 NURBSSource NURBSSource 25 255 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0821342231535432 0.0736203558104042 0.0338272733722374 0.0819075316103846 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.176145319601826 0.14381837326106 0.113054269285565 0.192436452889622 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0820572461376114 0.0739598415003606 0.0338074043907076 0.083019754259539 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.176774917100293 0.144366125765027 0.113719498473793 0.193427663517884 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0820143701027046 0.0744888568761458 0.0337867389062077 0.0840879516555168 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.177775342516536 0.145011004496252 0.115807511758902 0.194702902340176 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0816866753701911 0.0735691636828748 0.0330798458804481 0.0826276689719083 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.182654174622717 0.144792611542541 0.13035734426178 0.193451050792785 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.083628698850957 0.0764924831480278 0.0358502405944529 0.087864153025808 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.190509806955952 0.145911237418603 0.143047752260579 0.193777469120841 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0856802242858536 0.0778144772060912 0.0377717020964366 0.0898850361087574 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.177490440650842 0.145096708436298 0.114351082000363 0.195337028109063 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0826450438254356 0.0744005359724909 0.0345149404100606 0.0834127110652277 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.179095670277377 0.145750585059106 0.117081627659296 0.197243766243374 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0824737208662817 0.074623229277259 0.0339140686919722 0.0844740164134852 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.182041870263626 0.144779400527342 0.119276954592091 0.194233855456065 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0830133364326201 0.0747269224342642 0.0347880785334895 0.0845647194359975 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.220348724841884 0.151228757544927 0.158547898350929 0.199393819791083 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0982228772287334 0.0881399310609884 0.048568794403254 0.101908628826142 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.278422340199975 0.159606992228135 0.229738143060165 0.201671634255283 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117584856849496 0.103430107181358 0.0627027108045913 0.117473518281319 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.297392152601385 0.287248870023145 0.299787787974249 0.653696903133939 NURBSSource NURBSSource 25 256 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0877035891219427 0.062343595761708 0.0458750585658748 0.0391657172535599 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.297035598449254 0.286771984234098 0.298488766559528 0.651161361863856 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0876985940928511 0.0624991988624466 0.0458545574421082 0.0393113691934558 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.296002930622724 0.285520663915625 0.296776603262679 0.644440687061413 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0874374824434425 0.0624283937719634 0.0452857248957149 0.0391391553105624 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.295280420302852 0.284345510937901 0.294519942903801 0.638409593027438 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0871278540071463 0.0630939613229705 0.045170723770337 0.0397928977990083 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.300738664722839 0.284356845745118 0.304443737289642 0.629142687775144 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0887069773535277 0.0640797034012702 0.0466690074040553 0.0403076414310868 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311522756016324 0.286726109053241 0.326700399767627 0.628886364052184 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0893443233912843 0.0650094201898244 0.0467983031424364 0.0402276033783849 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.2957727829176 0.285739735441833 0.297794101502751 0.645924365398343 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0878119277995383 0.0630989994725846 0.0459431679998853 0.03989048255509 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.29525502053702 0.284041220691198 0.299306248713406 0.634868922468433 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.088021347395233 0.0634287881123769 0.0467467558402647 0.0398233907062083 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.305720925592061 0.290001405036745 0.319755079488186 0.650461783480796 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0900267012085085 0.0641980007891528 0.0495568095187324 0.0397487598586528 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.360354924703223 0.309297572833095 0.442813806938249 0.687088208264352 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103467586783466 0.0778857843424653 0.062015452654675 0.053121250114595 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.419562903632541 0.326498942793279 0.56567254806469 0.707892791142186 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.128210967219855 0.0984563471797448 0.0844986572794122 0.0758386810369577 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27280037268894 1.45012139895547 0.263617207531698 9.11552602937588 NURBSSource NURBSSource 25 257 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.14017500035681 0.321154239675816 0.238336954185475 0.767523489985929 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27233352456714 1.45017270540615 0.263594847205001 9.11612256836203 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140283369528085 0.321543546929172 0.238386079329582 0.769881888410616 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27165055542434 1.45025925759996 0.263858408962192 9.11726732349244 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140122391291629 0.321513880272318 0.238098380744546 0.769611622416805 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2687920466775 1.4508526336811 0.265794143540361 9.12630621744599 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140990366307044 0.321766394942066 0.242041187285405 0.768988213238142 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.26225029407655 1.45440751317593 0.29801143003345 9.17761473692989 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.149236098272888 0.330847161573178 0.262878279091697 0.812688160075091 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.25219818272784 1.45858393440201 0.348922989516018 9.2329921984952 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.157934886704215 0.338275256720452 0.287591175960783 0.851341568070389 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.27185756388413 1.45108282221245 0.283667899779313 9.13223595619501 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140827893264328 0.322122638594015 0.239908242164565 0.770950828176785 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.26950483674036 1.45188650327809 0.29025301651771 9.14335637037716 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.142736423454314 0.323772488910917 0.245342356711355 0.778765085265015 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.26644367913865 1.45453176618729 0.313638982059717 9.17936669321246 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.144010952006173 0.325250939136889 0.248763383003003 0.784744210514776 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.23462738345056 1.4757947442474 0.486992195844276 9.47686782216939 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.167723445517191 0.350292394270854 0.317815972541372 0.895274876265316 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17791792564351 1.49582988381417 0.607756139523679 9.75116675955924 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.199307147860819 0.387303805644214 0.406432790260262 1.05167086754755 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59379642220173 1.82402344870716 0.588473399323566 14.9350490039532 NURBSSource NURBSSource 25 258 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.05023384465373 0.356628939387503 0.0283823064383347 0.983464491965486 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59275981219627 1.82421260373518 0.589424977970163 14.9376857860687 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500607085317936 0.356703881815134 0.0282912479506832 0.983396181976666 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59095343535792 1.82482263708624 0.592226727008031 14.9552062247422 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.049820877898643 0.357670902667866 0.0280182242511148 0.989801536240662 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58741743857662 1.82372671476334 0.598575479194768 14.9416683433085 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0498513342528863 0.357378205857427 0.0280390692093162 0.988385927795369 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.56998330892399 1.81876236806131 0.656029242075949 14.8711254151661 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0552335085328474 0.363289353019359 0.0347977187874701 1.01238765707997 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.55362321915825 1.817838640845 0.696982415541377 14.8662048032596 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0620442994915749 0.376125202919984 0.0471933751860192 1.08945030844758 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.59133047784961 1.8234299148861 0.590679925882255 14.9319877942517 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500794710700153 0.357451869107714 0.0281331152776553 0.987032795429345 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58679514771615 1.82207638550852 0.604667253285627 14.9154528727848 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0506817191207345 0.358635236194652 0.0285458251832307 0.992227659442183 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.58037281132056 1.82018750287944 0.667388067190699 14.8945338669089 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0529358533374665 0.361517942093028 0.0310815740104169 1.00655462614093 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.52704519824026 1.8110934724672 0.857602707729042 14.7759290688965 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0729797422764557 0.394847876675055 0.0602442166637966 1.19445776913193 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.45908749823462 1.80405721375704 1.0323127323061 14.693683076322 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0948800939048663 0.443343260516079 0.0937319237337168 1.47667689803961 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21877703454965 1.25367926819298 0.95887356823152 7.3648084073652 NURBSSource NURBSSource 25 259 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0779314019551251 0.0910919848876292 0.0969588188961145 0.0667476528602309 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21845226650741 1.25346637796556 0.961124671214497 7.36294470646577 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.077656346471661 0.0911028614066234 0.0967323707235048 0.0667358617628037 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21794645361077 1.25306264541535 0.961755245438061 7.35897245372005 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0779273164391519 0.091051786495021 0.096967486930818 0.0666822418405102 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21681389225598 1.25228739253462 0.962998228223133 7.35111967638016 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.077815781802606 0.0910270660895115 0.0968590534132932 0.0666504867501075 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21623166978247 1.25287530776237 0.969152219154243 7.35736597813644 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0798265784251658 0.0918424491494866 0.0996758037187264 0.0689267500728154 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21534495836795 1.25468329132649 0.979787569672541 7.37442171588133 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0825948793395609 0.0937350681160429 0.104004291473968 0.0735948517207828 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2180568323396 1.25295555338433 0.962485877236709 7.35859542795613 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0781696653362333 0.0910815422620233 0.0972061024527271 0.066700436277348 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21743830512003 1.25248128228536 0.965204454080297 7.3531295291721 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0774625789215884 0.0912866533286145 0.0957561771717051 0.0666243158206196 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.21654544109238 1.25278059761294 0.969141917476795 7.35038225483126 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0781623015157444 0.091798326504858 0.0960195349444557 0.0670468811443088 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.20111375302332 1.25654257142319 0.961097141185318 7.37248313359803 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0890145913789029 0.101573269286795 0.111424556987355 0.0884790521879391 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17247728931692 1.2567972731678 0.972169021969412 7.36718225231057 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105209141859709 0.117812405472816 0.13989313268997 0.125489153796979 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198263824482457 0.172685798769979 0.373980987570301 0.496711194700093 NURBSSource NURBSSource 26 260 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0389102082236244 0.0309716624033667 0.0155569456566785 0.0330360287568565 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198270642540618 0.1727558753361 0.374111559490009 0.496954172378531 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0390223477868866 0.0312200238464641 0.0157870430064321 0.0334302880462494 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198287120451694 0.172954380909289 0.374107039333024 0.497086400867357 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0390694235208859 0.0317471400799062 0.0158875697868467 0.0342377380932498 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.19888760652055 0.174138081322968 0.374663152000656 0.498749646515965 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0393673738127171 0.0325042157326624 0.0161102665691723 0.034303656258748 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.201765014819823 0.179050331791837 0.373705000378281 0.500809650786874 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0428394518836977 0.0377484471410486 0.0162752755936466 0.0342724757570819 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.20733566819478 0.185612710770622 0.373575335154383 0.505473157058372 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0482173804064342 0.0443972521314009 0.017149187407525 0.0367427044138539 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.197961200263689 0.172973992476899 0.373383209868731 0.49610081555659 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0390708916538264 0.0319955826571753 0.0157170961817477 0.0340813936945713 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198768903586368 0.174796753198541 0.373236372130668 0.497225605580038 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0400210099410396 0.0339835586987947 0.0160065782240197 0.0345835035439945 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.201603997629097 0.179148685041142 0.372982207019959 0.499943626733778 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0433971844069151 0.0381988014812455 0.0164355136040111 0.0341515607091394 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.22356736532214 0.200664331840011 0.371023560467297 0.514181948269674 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0636876656302341 0.0604650169388136 0.0201290550291858 0.043208672047254 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.257556220546392 0.224728161709073 0.372493779412014 0.535465329498852 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0876791590252536 0.0828089431120585 0.0265037097896164 0.0567544792768675 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.429829568552318 0.430922051012324 0.373467341706335 1.1596215462082 NURBSSource NURBSSource 26 261 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0433486506914386 0.0585183185200955 0.0451681348158207 0.0949779218133014 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.429614244452452 0.430702898448995 0.373395913886163 1.15886348558924 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0431842599658332 0.0584851418521385 0.0449772969279965 0.0946884140564354 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.429727096819533 0.430727849812626 0.37350569143579 1.15873987231075 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0432409048522931 0.0585048555464732 0.0449732931346201 0.0946531312401976 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.429940141913798 0.430931725335567 0.373445970522184 1.1584920764196 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0436212310207005 0.0588998482708386 0.0450019408679584 0.0946726976311541 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.432458680723256 0.434455023136733 0.373546133269676 1.16606777248307 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0449034920591569 0.0613972996753507 0.0442387629739075 0.0938804909770138 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.43541133191206 0.438626394761251 0.373143908694999 1.17457360222636 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0481723818456091 0.0648481300708029 0.0446170049211527 0.0942516949678043 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430561425084168 0.431436604186428 0.373445741962825 1.16079497684918 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0438189607910687 0.0587495140279135 0.0452605356286079 0.0952265668670944 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.430915579768432 0.431923052368223 0.37323933034916 1.16067595028416 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0442688832844525 0.059638678036436 0.0451196504415056 0.0953101176713424 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.432809399474443 0.434644177454676 0.372899023570067 1.16531856756781 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0464854608781487 0.0624491057748238 0.0455733785771394 0.0963521382942006 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.439848307775815 0.444208360179965 0.369048888113105 1.17761258374492 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0607423970240754 0.0760052663992751 0.0512573003459148 0.10263697127458 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.453715410426689 0.456197252006478 0.371910419976773 1.2000299895581 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0778091284323979 0.0904911037389669 0.0604081897313199 0.107903247484102 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67930003766206 1.77006425249958 1.19551871124075 14.2655824720952 NURBSSource NURBSSource 26 262 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0626375538782165 0.170609627974935 0.143825507309879 0.425011575935169 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67931849672753 1.77015790164645 1.19551609674237 14.2670964930941 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0626577382086983 0.170640468970156 0.143700834006285 0.424875952218218 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67926949895379 1.77024129575506 1.19535689138568 14.2683889544307 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.063036467157579 0.170838899597557 0.144704825711931 0.425970217051946 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67898129249639 1.77044605139022 1.19463421942439 14.2717070120771 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0635416431062268 0.171072362289079 0.145289880957413 0.426359929296075 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67548639588441 1.77109859369162 1.18711576112263 14.2821863139139 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0653178362249957 0.172503533202507 0.142474587310906 0.426819660601226 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.6685441648077 1.77220122793451 1.17193319789301 14.2999975064146 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.068460105149898 0.175802226198054 0.143787987318328 0.430063733648795 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67904057219147 1.77022607418929 1.19480200320434 14.2681100806829 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0630998281374025 0.170840943201684 0.143737109521525 0.425338864276343 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67807252458093 1.77032251326752 1.19275401344849 14.2696327991875 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0641115222968896 0.171309406311241 0.143890450263978 0.425380386619502 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.67448877812359 1.77088895261898 1.18481405772939 14.2788784982413 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0657831474828152 0.173321853499776 0.141570121327985 0.427440501390892 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.63679801245471 1.7759495754991 1.10449682389703 14.3605594428312 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0750177650891299 0.187919969971578 0.137521536950413 0.440199648970395 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.56338464627749 1.78633453478299 0.964981181860634 14.5331643452039 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0864350742207861 0.21312543509731 0.135598413596769 0.483016622522429 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.208518526574675 0.204645060749191 0.14807848370641 0.323618309757756 NURBSSource NURBSSource 26 263 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0343573429289349 0.0372580845819109 0.0342462419117111 0.0525034275139329 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.208551104376422 0.204718295594366 0.148059900643186 0.323635500042136 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0345057327540104 0.0374228500894023 0.0343640055666578 0.0525815036190866 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.208803688966714 0.205049698634765 0.148083824573334 0.324019362692757 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0347269445501322 0.0376884164116107 0.0344132920904797 0.0527148658405443 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.209193686581891 0.205509064642561 0.148116612908917 0.32424615943392 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0354730628351591 0.0384746559416084 0.0346076933303753 0.0530998864304928 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.212136715162949 0.208649616549576 0.148050937888281 0.327120560099168 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0398123483569454 0.0424288609971309 0.035712820435122 0.0538351981307261 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.215268205246377 0.212001890024279 0.148000781221784 0.330288375070215 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0442859006510895 0.0465031292078477 0.0367342097547732 0.0541810453840273 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.209012609972275 0.205291265074447 0.148072186419621 0.32417602519578 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0351925863325048 0.0378600577309584 0.0344466167326404 0.052361702997295 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.210019939020785 0.206378084766332 0.148045237329609 0.325136525974288 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367547974963661 0.0392662381957448 0.0346666785720146 0.0526034256086843 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.212139398490931 0.20861933850547 0.147999110869619 0.32699090571252 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0403954743740559 0.0424827357949746 0.035531668625833 0.0531518640707408 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.222245617551086 0.219777892607782 0.147425049017578 0.337616887274314 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0551749737533515 0.056113938800861 0.0394500581435842 0.0549793322580572 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.232452512826075 0.230443160055657 0.146050906963533 0.347427080229616 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0699514207342485 0.0711416619814731 0.0455363162452016 0.0604266554899392 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.528213100205315 0.543018631702213 0.856611253504527 2.16357567702112 NURBSSource NURBSSource 26 264 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.04502588348505 0.0511327078412293 0.103015167130918 0.0779124861659568 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.528301988158682 0.543188947755613 0.856570295987471 2.16411508234172 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0453450107728931 0.0514299227036392 0.104589615566221 0.0789595817806357 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.528372119598297 0.543415452855601 0.856461459297555 2.16459046634284 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0454517061403669 0.0515604018978876 0.104526407462293 0.0788692963410185 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.528836705030202 0.544179577638376 0.856280653056865 2.16659832797878 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0460654952982194 0.0522310308093026 0.105407141058167 0.0794793038807635 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.531192522419242 0.54733636769955 0.854396087354421 2.17335078153869 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0494413251248354 0.0560913175484624 0.105072818664255 0.0811690634317431 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.534035642096924 0.551030109272664 0.851246513119249 2.1824693700128 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.053452080380982 0.0602793837773602 0.105554620798892 0.0823197757675712 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.528813251799117 0.544049220344619 0.856425437683354 2.16659360624292 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0460509267830368 0.0519554366179399 0.106134479785157 0.0789043338201764 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.529294235057119 0.544960661780838 0.855805525317864 2.1675670899242 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0472670335685267 0.0534757132059014 0.105961300491073 0.0796396820363282 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.531523572522198 0.548044204910819 0.854536009333406 2.17622731252453 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500240980890954 0.0566779602148007 0.103495352905963 0.0797927036245894 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.538533358203751 0.558741466816563 0.838392280054137 2.19754111154513 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0640956554183502 0.0717351331549223 0.101463377729995 0.083711278228436 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.543316391471889 0.569141177849723 0.808634502968412 2.21829592139112 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0787453026981303 0.0882812123365328 0.101234266115067 0.0925445902021339 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198557251417966 0.191597347515405 0.173031002634188 0.321839531556373 NURBSSource NURBSSource 26 265 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0361695829058174 0.046308582684533 0.0213741248236203 0.0598100798092715 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198614026944225 0.191675689137107 0.173055338819238 0.322021970412297 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0362700155528968 0.0466567056301563 0.021581256184104 0.0609445703095171 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198535141863139 0.191674141608721 0.172972362082825 0.321926135835849 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0362772054870766 0.0466702822367794 0.0215373417866441 0.0604702199694557 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198693664518883 0.192057485465818 0.172928349199531 0.322378768520442 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0361949159487629 0.0468796043756021 0.0212060627276794 0.0606149912759072 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.200299360131915 0.194386986796064 0.172344897737773 0.324485941565451 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.03834184769997 0.0480497559314316 0.0223000650875623 0.0581095811067966 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.203066015706411 0.196827413098405 0.171242327135431 0.326037565605789 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0412886047884511 0.0505464837394903 0.0232317867585215 0.0582687599547206 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198436577572273 0.191698035364997 0.172868919582728 0.321702231847348 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0360959318142154 0.0469262962891485 0.020930504728401 0.0613410935573918 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198505919263471 0.192129674713068 0.17255818249953 0.321704239860968 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0365618604910372 0.0468736213775153 0.0211150271135818 0.0592473272521282 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.200134658001182 0.194086159224553 0.172014132243471 0.323211136819259 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0382150492721448 0.0487612845126999 0.0215015727737681 0.0603004236572984 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.213615059952925 0.202376828525268 0.166659973698255 0.327222709350142 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.051832333079089 0.0575270320998615 0.0276907053897512 0.0626535070386248 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.238878610886268 0.211213165700207 0.159133407425596 0.330055192681149 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.068284471407626 0.0674259958310135 0.0346166411210733 0.0664674032056284 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.3107621442149 0.308397690806537 0.351380405497398 0.744729590039335 NURBSSource NURBSSource 26 266 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0305142960616296 0.0236489767551741 0.0192340762995786 0.0159335744053611 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310729631930528 0.308376211873996 0.351372354166607 0.74455013562271 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0305102877356854 0.0237779856888179 0.0191622125903562 0.016064365560411 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.310972470925784 0.308657651824365 0.351461250473377 0.745030214489111 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0307249417522784 0.0240903002493676 0.0192201070848131 0.0161663247608893 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311960021041294 0.309682449908754 0.35196209461721 0.747093033277945 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0316254002427351 0.0248957159154112 0.0194057325919892 0.0162307597923561 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.316711343146145 0.314139786549067 0.352680883844671 0.753037786575041 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0371818325586687 0.0295585213816117 0.0202951737433596 0.0168064953516443 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.322667685895222 0.319340919073031 0.35378051225882 0.760926981892438 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0438787062966219 0.0350690417412543 0.0221883166600618 0.0177535384086093 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31209768221222 0.30990228534306 0.352296292239348 0.748608234815655 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.031215134043194 0.0244114452263612 0.0192450156921588 0.0158847794730533 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.313477997553404 0.311409703591468 0.352202487723926 0.750287458539789 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0330968946396671 0.0262121563976356 0.0194893080032416 0.0162061190730789 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.317611435387062 0.315524928027977 0.352713706038692 0.756565600395025 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378945492044239 0.0303789652685577 0.0202308767546576 0.0166798124679739 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.336084823553674 0.330795327937691 0.353096392365204 0.774354457021365 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.060447995424711 0.0492374186431582 0.0287339784033417 0.020490187204803 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.36393092344809 0.349417360835178 0.362063168605556 0.805714106101936 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0840299557083591 0.0693941314657285 0.0421478444543596 0.02899468228603 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46379543169438 1.49869964007572 0.662906815946725 9.73403190370597 NURBSSource NURBSSource 26 267 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.078908747435079 0.102923137023372 0.172121318680201 0.202454928029409 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46379822267454 1.49869784407671 0.662897321445479 9.73402191119396 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0789724624615221 0.102933205034989 0.172086055712694 0.202460912605996 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46377984733446 1.49869887977502 0.662860361036538 9.73405114101031 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0792851466048368 0.102901355681707 0.172287725451941 0.202357598338838 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46367006102699 1.49864605638086 0.662741849287317 9.73344184423781 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.07997956296007 0.10308564973028 0.172460314609453 0.202684894886616 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46242711633318 1.49870766455355 0.661149337844707 9.73461936809223 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0839926841691933 0.105355470244416 0.173658517947512 0.203302862114366 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.45978031451072 1.49890054974007 0.657767392119181 9.73758145137313 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0879562894957128 0.10868581232849 0.174140724981508 0.203597920481041 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46357970014279 1.49865674526274 0.66268625423822 9.73349321122632 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0792213142187348 0.10275814057346 0.171133653269413 0.201579418038135 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46315514216767 1.49860127686873 0.662226585837582 9.73287989496426 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0808421205573143 0.103199080115506 0.172193128051387 0.201782670199749 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46160765169692 1.49868046540651 0.66035017760908 9.73404820982238 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0846270432704657 0.105642231810098 0.174191429354449 0.202831875721573 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.44662656712 1.50025620667826 0.641793631392574 9.75624525492706 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0995703504541592 0.121118310798636 0.180479993361167 0.211524143340423 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.41782928812931 1.50417631774755 0.60636631074496 9.81000990794676 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114127747880287 0.140606890764464 0.189836437498415 0.225720792027326 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87196178274972 1.91518922340635 1.95040114392578 16.8910510245007 NURBSSource NURBSSource 26 268 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0151707061116579 0.0716487869587984 0.00803863928667115 0.0566646471088877 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87190556139951 1.91514714610484 1.95055254856445 16.8905246297307 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0151974439605609 0.0716778833514747 0.00780410626341481 0.056664708289667 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87199387281503 1.91528450037049 1.95027637291087 16.8923685255563 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0153301289892819 0.0717435333076909 0.00768144573704412 0.0566839714506459 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87184579664823 1.91533677622503 1.94958983112515 16.8928159912174 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160800055939214 0.072185983635992 0.00775125245989393 0.0568779932913157 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8697013243992 1.91536704157017 1.94326515309847 16.8922772785945 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0197625112225411 0.0753415551275125 0.00769459463934373 0.0581989841446189 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.86570756551459 1.91562736318467 1.929246741835 16.8950650093831 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0243571699129605 0.0798488526543274 0.00844931640031032 0.0606116879948092 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87169261108986 1.91504522069164 1.95015980657072 16.8888575426163 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0158201253399954 0.0718870071803045 0.00780216190495796 0.0565809919537001 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87117941576109 1.91505575086111 1.94852362785868 16.8887129188265 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0171518853924202 0.0727798854644904 0.00763368649798129 0.056810505488999 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.86926987636414 1.91522129777488 1.94155883886039 16.889802669087 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0205148000156022 0.0755709130122771 0.00769375839187157 0.0577613122895002 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8492034168769 1.91552701931579 1.86918931882296 16.8911004223773 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0362362208377325 0.0927761050631595 0.0110095071434053 0.0674284048919048 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80913794848752 1.91421584965509 1.7373595184592 16.8766272164919 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0528018143888766 0.116727433980809 0.017640740887384 0.0881060800142342 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30430098620847 1.3167550490447 1.16735811589824 8.1455337959729 NURBSSource NURBSSource 26 269 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0371845329556409 0.0397045576366574 0.0627031663755331 0.0321366768313123 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30416635983567 1.31659883703624 1.16765299987607 8.14405593135603 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0373711444480999 0.0396608701843196 0.0627666378069873 0.0321020596605289 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30413353210909 1.31654745844556 1.16778607812833 8.14343483169991 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0376315431312932 0.0396760126537675 0.0625092995645928 0.0319668561208821 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30411504135038 1.31653666477324 1.16782983922638 8.1427546928077 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0384590333498658 0.0399073287509776 0.0623723970133056 0.0318992568342405 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30420194754924 1.31690094664208 1.16656134461744 8.1427477161342 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0436900643543684 0.0426143445210439 0.0635874526473392 0.0324852685370435 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3036324867861 1.31695750637987 1.16424117335498 8.13924230234215 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0493730441992608 0.0468636486271798 0.0651638872805468 0.0335627645913419 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30454950625001 1.3169584252705 1.16713483597345 8.14661906062328 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0381969892387293 0.0398373987490096 0.0626587772614845 0.0319689930556771 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.304684085013 1.31713285762167 1.16689837428889 8.14701927497203 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0400879632602638 0.0404645493863362 0.0628169693814317 0.0320368656910359 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30486253817504 1.3175520319375 1.1655374293921 8.14787015806062 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0447505712883604 0.0430591936916538 0.0640931724740616 0.0327516924861523 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3000576506086 1.31650584145716 1.1546636443095 8.12263320471939 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0641352559891093 0.0592038036552959 0.0701933905395767 0.0376172887642064 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.28843984864786 1.31286349213639 1.13055246080608 8.06791597691176 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0840232089546935 0.0777496588072526 0.0807478948312283 0.0461615229657139 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165047980277004 0.14038965265581 0.324982236118058 0.405323398245231 NURBSSource NURBSSource 27 270 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0356704280006422 0.025045806823841 0.013217182508412 0.0250642311514503 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165191810228108 0.140619804071965 0.325318850467388 0.405880245071638 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0357081753905874 0.025006375814392 0.0132321698149894 0.0248084143612501 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165353982464306 0.141088739250026 0.325590006187062 0.406525379144775 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0357322450476605 0.0253445097168113 0.0132369215597006 0.0248573821029702 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.16602514497009 0.142659228503541 0.326415064492039 0.408347906190121 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0361805738756122 0.0268390652485989 0.0132864028844873 0.0251620452934653 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.17118373354279 0.150031866963626 0.326879683432789 0.412609640383616 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0412745409407319 0.0343823504184841 0.0137865270828027 0.0259776011891265 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.17930006561629 0.158974101745516 0.329356546605322 0.420493623716715 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0481249219127722 0.0427686607718265 0.0147066664960169 0.0283451115831118 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.165243260165186 0.141592716690922 0.325030379213684 0.406091157262719 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.035929018353041 0.026215358634214 0.0132332791435661 0.0249126684981564 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166790495485361 0.14443306568117 0.325526986848457 0.408220628909467 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.037294742135853 0.0289638124041872 0.0133246095976433 0.0251486058689408 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.171750492002951 0.150947954502807 0.326639761934254 0.413206454217518 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0417942302737585 0.0354340402587706 0.0136815423828249 0.0263581020113303 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198856248238151 0.177446317934769 0.327838931161427 0.428557939240883 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0660872024397858 0.0621569714631603 0.0179610835031131 0.0350980875338331 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.235996472143914 0.20490228783864 0.334972819134162 0.449710997310999 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0935867741515094 0.0885917217069343 0.0267042878014125 0.050469323550044 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344276881966972 0.342518181766752 0.267696052177693 0.752709952515133 NURBSSource NURBSSource 27 271 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0384513755256037 0.0413838590815557 0.0323468391871611 0.0394257518080417 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.34444647544963 0.342609295264867 0.267781350425296 0.752926532706322 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0383693114390827 0.0414628303869681 0.0321694240726498 0.0395129861160273 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344421277062018 0.342485714286702 0.267726035433303 0.752307217692147 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0388174294008574 0.0415143071793821 0.0323375675691228 0.0395963056825683 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344701847910425 0.342645597132014 0.267569328426642 0.751946015903301 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0396317809655435 0.0419321609835858 0.0323911306677291 0.0397263028221662 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.347172284844644 0.345345821773514 0.267186083987122 0.753677473715377 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0431380666963328 0.0446028368595176 0.0327332153194279 0.039434934378496 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.350391950187054 0.348815482421095 0.26717146242705 0.756983366488494 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0471507257043507 0.048483209952229 0.0337121670530598 0.0401566178025353 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344862905492921 0.342825815564757 0.267997077679185 0.753199863791894 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0397949273435939 0.0419562247382584 0.0329090559850825 0.0400841843767917 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.345406345060487 0.343379318158176 0.267935203208074 0.753115648900883 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0411880886985957 0.0429908286040995 0.0331020941444093 0.0403211671403373 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.349199042506913 0.347347831921491 0.269213516291315 0.760617619799572 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0439597864680839 0.0453185661919603 0.0332844454055829 0.0399843650704481 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.365121564477014 0.36155801562937 0.27262859590707 0.783139719349882 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0594247541309696 0.0598483777195298 0.0397262989874825 0.0440795497980605 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.387008167591573 0.375962687665427 0.277293854487708 0.806017510595158 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0787031752127871 0.0774300649808729 0.0522995101583952 0.0527816208744686 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80247651519152 1.88061504658778 1.40856954662866 16.0287647994821 NURBSSource NURBSSource 27 272 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0706361256191207 0.155422044753028 0.192955502416667 0.402167965262354 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80243249784049 1.88061578012017 1.40838227790186 16.0287329801532 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0710842271818508 0.15556730711082 0.195508917901533 0.403184604966853 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80229673169446 1.88059113789114 1.40811513934495 16.0283030442596 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0713447481650976 0.155792437426751 0.195510107587421 0.404321349776265 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80208661353968 1.88074683108727 1.40733809162248 16.0311176814733 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0720047345196964 0.156156457747639 0.195168005722711 0.405731636717985 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79966322299643 1.88139253518136 1.39970200355223 16.0420701957439 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0763753021258033 0.159450081997156 0.199378191741525 0.412024007542453 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79452151389225 1.88220454172278 1.38524624133352 16.0559141830148 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0803973223049823 0.16355130534428 0.19961669492699 0.413646025733479 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80247411011057 1.88081132269904 1.4082861246676 16.0320152977475 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0721791986337977 0.155651634181063 0.198261696154644 0.403257560225545 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80211324067104 1.88111926782867 1.40700087234855 16.0374857765981 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0733272043054693 0.156026659644995 0.198785456063334 0.40343976024146 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79974617410741 1.88145536167394 1.40079023048719 16.0432180212436 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.076062123873314 0.158605843641134 0.196072786935928 0.404355323857493 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.77322117985409 1.88502063590258 1.332875371943 16.104569275287 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0903443595006777 0.175340713393827 0.19909895040406 0.413465404705195 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72082831946414 1.89334819737497 1.20944804861423 16.2499706390468 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.105414500313133 0.199496979611721 0.200662133361555 0.442096034063403 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.16880428952418 0.166539666455159 0.115816589338417 0.233437616373381 NURBSSource NURBSSource 27 273 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0314886346254123 0.0402259454381357 0.0268377836067054 0.0598552833201313 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168837496560357 0.166597344321176 0.115794420229776 0.233457630626315 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0316167589219314 0.0404019174221956 0.0268629694056206 0.0599857285705714 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168975185633568 0.166779926968503 0.115768950403254 0.233575923634346 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0317981949992386 0.0406408023551711 0.026825852849239 0.0600250068144398 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.169491565821134 0.167359980395944 0.115739490706212 0.234014068223814 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0325188291450254 0.0412320930376688 0.0269123449334029 0.0600753612124458 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.172930040098834 0.170687795014742 0.115803706918645 0.236922003374213 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0368620492765269 0.0449463257656266 0.0277267148002091 0.0608069166353246 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.176662567054389 0.174306533038385 0.115827044712912 0.240036596433556 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0416224307656783 0.0486654652471435 0.0289846112640194 0.0609348505722456 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.169309250338074 0.167162772174611 0.115768641065791 0.233817673940561 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0322122833192 0.0411042698800482 0.0267901191505157 0.0602391792430778 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.170308464977018 0.168260705357646 0.115716838193955 0.23454327465296 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0337027081584188 0.0425167298312211 0.0270312204999857 0.0603980323375898 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.173073341036995 0.171094280220699 0.115722743315155 0.236779789980847 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0375425481576057 0.0457794162290546 0.0280939904393952 0.0608266086603355 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.184988385262948 0.183108197094974 0.115350458150074 0.246241316778175 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.053329527965321 0.0598142344419023 0.0330924998617127 0.062642558947141 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.198299981589536 0.194393255011456 0.115177648406378 0.254565182467477 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.068980711910385 0.0750580838796915 0.0398651757964303 0.0673945597242231 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539462157563104 0.550691411556036 0.889965404920378 2.20309899073429 NURBSSource NURBSSource 27 274 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0466960024993484 0.0446599360997866 0.0996776540984773 0.0614205052434816 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539419726367883 0.5507476208707 0.890138234655154 2.20355985321502 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0466203943044601 0.0448125794749449 0.0991959047507457 0.061525709606306 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539540685352466 0.551009918181089 0.890041046935173 2.2042365487527 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0466658158804917 0.0450816764343698 0.0991577940732566 0.0616181272740323 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539901919126957 0.551615472175861 0.889801369771686 2.20557359221761 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0472427565247724 0.0457379213712381 0.0987500700667322 0.0616920438089642 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.542450805112078 0.554645411615407 0.888146138202392 2.21218552415017 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0511888294307789 0.0493658497373392 0.0991659883783204 0.0624608558400428 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.544814358469342 0.557344053347194 0.884556750969532 2.21584544673395 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.056196213215995 0.0532309420757911 0.101087279884512 0.0629418009477388 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539539938534975 0.551038995302577 0.889689390093587 2.20305754055747 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0473408986270948 0.0453257775244701 0.10046518572608 0.0614956615649318 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.540509301005374 0.55221279831501 0.889218548036478 2.20565587246116 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0484184408428754 0.0463620099933781 0.0995981497892246 0.0609021624479044 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.543120110504212 0.555148608159794 0.887522993318 2.21318902722182 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0517060364191093 0.0493165435179449 0.0988799611918003 0.0610559011710561 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.552513242480526 0.566323094156258 0.869622820797328 2.23847477686013 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0674573063587019 0.0637266937216404 0.101660062741057 0.0658412372690283 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.558756552777149 0.575162446242555 0.835283745472459 2.25088120109302 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0829854812048 0.0800854612772331 0.103485642546657 0.0749379471537146 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.14252797303478 0.136672856000301 0.120147877218587 0.194480341485655 NURBSSource NURBSSource 27 275 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0271146387432218 0.0382051102926044 0.0160834340845336 0.0485684791843585 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142559530137418 0.13676751927109 0.12014467632763 0.194545709401104 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0272225498374344 0.0383552890276643 0.0162205650351466 0.0487553903546584 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142625594114152 0.136980751042383 0.120145515310346 0.194670661529997 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.027139215969734 0.0384674759779434 0.0158871943002354 0.0485096810896395 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142983079966657 0.137638247150481 0.120159175422957 0.195039966086487 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0276009148196723 0.0392327385026523 0.0159662282912618 0.04884678249348 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.146347787723044 0.141277093251157 0.120097175312626 0.197013940213417 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0316452309538373 0.0427374397283351 0.0173881992010633 0.0486787137324824 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.150697086603639 0.145169265491201 0.120041983124888 0.199207488457998 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0370109438333993 0.0470150333437395 0.0194444757004816 0.0491670171367185 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142654958488758 0.137153498308937 0.120036589271235 0.194405576337486 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0276258354376501 0.0389364407323668 0.0163791946362486 0.0487324199520998 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.143680454261223 0.138482833039775 0.12009982056218 0.195109596593912 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0289085660746619 0.0404649510409695 0.0169996243502824 0.0493294656462354 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.146578859634959 0.141232247709691 0.119962974415193 0.196138841820294 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0330757076099242 0.0434280169279513 0.0189961188023679 0.0490203598509505 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.162984748207193 0.153877259110902 0.12012886480193 0.202380970634895 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.05126511226657 0.0574013320000666 0.0255975504766043 0.0514516890624278 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.184219212970936 0.166400907586928 0.121099088121488 0.208943904110453 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0709576657490498 0.0726736339857542 0.0357778033872196 0.0589361842563901 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31293365534657 0.311961276872104 0.383396788018256 0.782978336132534 NURBSSource NURBSSource 27 276 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0241060429344135 0.0196150298274889 0.0144556017799668 0.0123419405818489 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.312859748189977 0.311990425062949 0.383115644493129 0.782567042840787 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0242163347326197 0.0197419605376947 0.0144797440025227 0.0122553317642076 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.312930400119235 0.31224807574987 0.382898168824182 0.782498219973717 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0245345655813018 0.0202747221991881 0.0144737439473996 0.0123632943506471 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.31380805566203 0.313433903634028 0.382755949964059 0.783877384542098 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0257560013883731 0.0216543924183054 0.0145339805848813 0.0125851565766765 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.319010699769928 0.319143138941299 0.382496197625424 0.790887091980925 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0331355610937478 0.0286171114399482 0.015945932111196 0.013604335930132 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.323845658789275 0.324044957955579 0.381332847137763 0.794130619957663 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0410287485490386 0.035932697034075 0.0179368465786061 0.0144146947708558 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.313271581593849 0.312589230574831 0.382570556296332 0.782037163877328 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0252850135085142 0.0211334936191788 0.0144571347021906 0.0126187918180281 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.315258080371931 0.314691606874754 0.382724461281891 0.784459328001417 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0278854836322775 0.0237270072960874 0.0146539316017085 0.0129140161795165 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.318464277842638 0.317767913487433 0.381182265456908 0.784081593781893 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0345226219120641 0.02966054665128 0.016304732342029 0.0139604343743333 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.337889428400262 0.334705787491626 0.382068728642292 0.798777097108887 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0620570432996341 0.0543083376072713 0.0266893267639706 0.0193094344051949 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.367538182311278 0.358058565108428 0.399272758867047 0.84049746312637 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0897095732869166 0.0797726843190631 0.0428431369437119 0.0297916029183403 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39255703898569 1.43198081330816 0.607294244307485 8.92575014766806 NURBSSource NURBSSource 27 277 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0861702005715892 0.115246935839597 0.196449916724112 0.259422304482631 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39253680648799 1.43198000964651 0.607258302239185 8.92577055431539 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0863177793435817 0.115286220169983 0.197034564650801 0.259962396630198 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39247582128189 1.43199106661537 0.607179494581024 8.92591418749332 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0864164309583926 0.115120701115025 0.196802328098791 0.259530782889128 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39230409369632 1.43208533813911 0.60692329761722 8.92711441761065 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0871974608126707 0.115424760340229 0.197691975380647 0.260506538706148 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39035419296063 1.43235525366271 0.60472971234868 8.9306405045348 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0906208803132422 0.117651515933191 0.197578968053963 0.259859025918606 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.38664008451072 1.43305156883396 0.600520304962158 8.93950315789433 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0953703331169459 0.122256767599795 0.201250010530155 0.263449943934761 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39240121709627 1.43193044459577 0.607121232874663 8.92511779668275 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0869193096116252 0.115205767848329 0.197064550709662 0.2593645137548 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39194285208737 1.43192672720704 0.606658235972219 8.92509745655458 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0879537333298838 0.115432328656656 0.196560039519057 0.258177601807314 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39026948054226 1.43216402197581 0.60480216885046 8.92806851118638 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0912483889103236 0.117902520687139 0.198155135012934 0.259495779067883 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37215540574452 1.43529289692449 0.586183393000301 8.96801318582752 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106872964648757 0.134764231700392 0.211102314673312 0.273662855192312 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.33652100157798 1.44105531602596 0.552172120946302 9.04258934338167 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.12080256717256 0.155005455345761 0.222993928987177 0.289624625092093 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84851815081802 1.89730702722291 1.55708127314672 16.1978803488642 NURBSSource NURBSSource 27 278 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0163637895825965 0.073447925481035 0.0183943523204434 0.0602967182890869 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84861452796299 1.89741770824818 1.55666236969256 16.1992814975877 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0165621890873115 0.0734940750074802 0.0185215574499007 0.0603311769203757 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84856190547329 1.89741562827467 1.55635340670055 16.199201421407 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0167427202322917 0.0735979990675284 0.0185515912211903 0.0604025655795157 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84815229094288 1.89725424217496 1.55582363480473 16.1969813073186 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0173639709349347 0.07395986048928 0.0186346825518616 0.0605906739450163 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84553231822023 1.89757532900258 1.5483645408635 16.2011952347351 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0204678171331545 0.0771455323116238 0.018185359172334 0.0623210320432427 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84026391661249 1.89794006253262 1.53330457567849 16.205667580081 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0246572459864149 0.0818036569960749 0.0188288194305866 0.0651921548808925 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84859259573784 1.89761919311061 1.5558688252781 16.2017735293218 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0168591937034277 0.0737280567402933 0.0180601664327039 0.0603943561198479 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84804487065062 1.897814639047 1.5535513180159 16.2038092717316 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0182677195243363 0.0745604634707868 0.0181642333666289 0.0607190070848771 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84513854784321 1.89786925562414 1.54636542179378 16.2039981647497 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0211760608912494 0.0773290906289905 0.0182767807011132 0.0619978812519519 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81522964397079 1.89802472683843 1.46788259264154 16.2053887984148 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.035728191854055 0.0962747796911687 0.0214743758375484 0.0750529472070568 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.75626374133363 1.89583893814236 1.32992759749503 16.178341931411 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0515442224850879 0.123890418828148 0.0285745710911749 0.102297251276858 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31254930531178 1.32105182820737 1.20113805356159 8.21216050662439 NURBSSource NURBSSource 27 279 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.032079747069692 0.0284934100390674 0.0488372365708102 0.0163581708585447 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31260516132988 1.3211153492755 1.20107949861454 8.21263457251959 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0323402348993017 0.0286034817821906 0.0488879135183376 0.0163975458092214 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31270776926479 1.32122960697186 1.20094334505117 8.21346243682271 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0329324423075863 0.0287687422973652 0.0490417451280255 0.0164265864590403 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31268281196456 1.32125389042855 1.20103155846378 8.21322227988331 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0343501093525937 0.0294082036411657 0.0492217986885976 0.016532446155897 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31293511220924 1.32182819400925 1.19994678840954 8.21607596721815 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0414012203345719 0.034921485572177 0.0510186938381283 0.0174190580107411 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31221732740831 1.32167776827398 1.19903721526828 8.21208543906972 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0484991699953225 0.0419502692763477 0.0527366015735841 0.018827640526638 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31240904002532 1.32087707267402 1.20164203415159 8.21020190000046 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0336688150652241 0.0291229977730932 0.048994465954208 0.0164666901512198 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31246705527876 1.32098519551353 1.20149986202837 8.21044228901075 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.036368501052487 0.0309343936421456 0.049453578616591 0.0168376942687322 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31248782971335 1.32113538315898 1.20057667235162 8.20979864744871 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.041712466102539 0.0357458383529233 0.0500032001135349 0.0175311106709961 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30866381238487 1.31946267078172 1.19365109279996 8.18604615121496 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0647292394159431 0.0594828461517673 0.0576408177690994 0.0236799978097674 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.29942387722686 1.31539930323392 1.17958798634773 8.13754184132737 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0882946260228636 0.0837833445009662 0.071475030517109 0.0342878546388896 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166362077082371 0.140644069349178 0.324523636848786 0.404888364594726 NURBSSource NURBSSource 28 280 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0377779787214038 0.0280867106078259 0.0139267723083262 0.0280687990481098 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166396493881651 0.140738198634125 0.324392866794069 0.404759586523305 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0377850745313107 0.028123498587987 0.0139430654300165 0.0280212103893671 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166481463999746 0.141037980598016 0.32449756609625 0.405023692520256 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378116676022526 0.0282553593565091 0.0139894570619435 0.0279876731012868 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.167040730552473 0.142540125416732 0.32532000612463 0.40685016467737 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0379996205744464 0.0293093848814147 0.0140050066409533 0.0280392633816307 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.17103841650352 0.149496630147778 0.325177039706565 0.409879195249247 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0420178753410576 0.0358074670261979 0.0144786718321314 0.0285387125892412 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.17825624284591 0.157856992641198 0.327049732128265 0.41591229537113 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.048094732428855 0.0428786526887303 0.0151293754872562 0.0292795739957756 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.166157133182444 0.141275011028959 0.323639705863208 0.404077561698753 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0377798877981725 0.0289941189560414 0.013876994529263 0.0284016843694349 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.16703998175996 0.143583130952741 0.323385220237316 0.405041535709906 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0387375917012638 0.0308864347507938 0.0139452334867847 0.0278024636233614 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.17122699096956 0.149622039810691 0.324017522200196 0.409095147183105 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0426682665326245 0.0364427819501298 0.0142951625071633 0.0283875984314835 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.200488747087126 0.176620813779197 0.331052732008381 0.42848066066072 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0656378666609413 0.059972915028477 0.0183958721447315 0.0337825865749246 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.244806056884952 0.204851928317968 0.349234387947749 0.452898229324755 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.093342645701807 0.0838417449272352 0.0287273650570667 0.0453160735457813 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.343548342873944 0.341750770002646 0.266889614028667 0.748311282072211 NURBSSource NURBSSource 28 281 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0386199800776481 0.0422755342887176 0.0316005340429466 0.0390027093485507 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.343576068501576 0.34172732635157 0.266845953115266 0.748146375738852 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.038768852303806 0.0422370709513144 0.0317124344301711 0.038912170442438 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.342928585825483 0.3410522825284 0.266264395879688 0.745626417437524 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0391089664661295 0.0424289579340024 0.0318777739484579 0.039221797427391 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.34350523667583 0.341561467247799 0.26648604153248 0.746532436250875 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.040072104470749 0.042762224240441 0.0321344426121768 0.0392669031900141 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.346090374756169 0.344433360103258 0.267644407383036 0.749604382301524 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0443720283498754 0.0459624524273646 0.0334944017689327 0.0413016709486073 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.350446509840747 0.348458349674878 0.270181280877007 0.755560429582084 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0485493967972211 0.0490127081833703 0.0347880195392818 0.0416808362411814 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.34366431420128 0.341864595663678 0.266885006857452 0.747692907792426 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0395993120373697 0.0428476454793653 0.0320020820220135 0.0394842178117004 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.344923860321681 0.343186611072463 0.267581175646892 0.74951821688364 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0412870049325497 0.0437141637624991 0.0326283034135056 0.0396172732550329 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.348256087782949 0.346591803984217 0.269458228374153 0.754131460237498 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0441473404491493 0.0464676174390068 0.0329733470683605 0.0402089415380853 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.368492461150307 0.360353379293414 0.286170605123855 0.774505247719882 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0605612545962596 0.0615276375830071 0.0406336850626088 0.046377760543676 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.403078432464869 0.378159189727179 0.33368236381597 0.80885985586715 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0805935523818382 0.0783081135184958 0.0534700424927325 0.0551839704968435 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79624109338475 1.87488703095159 1.38069569188344 15.9325741522196 NURBSSource NURBSSource 28 282 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0690078374573783 0.158965222389265 0.184018766845637 0.403737955643451 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79623882970291 1.87492653483684 1.38062031845165 15.9331805285542 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0687172597078424 0.159017760898106 0.181616984655914 0.404012455826516 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7962132572262 1.87501695168044 1.38048557784448 15.9347585303971 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0687139291666556 0.159202188889177 0.180602834217415 0.404907425521591 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79593760818021 1.87506213741514 1.37981828053146 15.9356130318166 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0691258035066938 0.159245648795649 0.179989646161225 0.404273866532335 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79284810701832 1.87568705689316 1.37224247451268 15.9466807412797 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0728244074886249 0.161652987553564 0.183424072490322 0.408102810238901 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7865377848812 1.87689304799892 1.35683914940682 15.9675735302757 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0763548312660504 0.166379733262965 0.180927485454121 0.415615016788401 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79602862795592 1.87497249594026 1.38015669466151 15.9339247259037 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0699961674424695 0.158936155622944 0.186375703303085 0.403384317672078 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7953300574957 1.87531969634022 1.37833481615024 15.9400302913566 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0707041168719027 0.159585132579998 0.183829016727087 0.404648134690928 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79215630561375 1.87599969275037 1.37060183282496 15.9517154992482 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0739867669715933 0.162274106723303 0.183732363257816 0.408926223355913 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.75709375923451 1.88189012091799 1.28959655415925 16.0528302849553 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0880997858344656 0.179895967005243 0.182736658273407 0.429594695334908 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.69062065134411 1.8930858426495 1.16267049134834 16.2482503673917 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106076107776646 0.206882463548737 0.196890187007452 0.47518778791228 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168530427172958 0.165782266296304 0.114441932828627 0.230485395405255 NURBSSource NURBSSource 28 283 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0326018977356921 0.0418357278660041 0.0272716165003085 0.060281305462242 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168464768807283 0.165718343695205 0.114414349562704 0.230338101242147 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0327039467390611 0.0419786692833355 0.0273511261827511 0.060370894301453 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.168591815764555 0.165869728231559 0.114420910283154 0.230439450285256 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0328723476922413 0.042177323210551 0.0273748732025829 0.0604188498458872 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.169041708304994 0.166389135322043 0.114417694192667 0.230806312189671 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0334575394943685 0.0426729906894498 0.0273461317310528 0.0605208281013731 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.171617205914452 0.168950044638549 0.114377440041207 0.232394746916823 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.037481627671238 0.0455743216673975 0.0286500724091332 0.0606651745626878 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.17527021567447 0.172499961983884 0.114620137723352 0.235294409370626 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0421907044179798 0.0494127967627884 0.0300090411372651 0.0617174657103872 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.169057383164431 0.166458230475053 0.114458362480629 0.23104448728068 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0331957896024738 0.0424943295105692 0.0270619386262855 0.0606657965558246 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.169915700218353 0.167441355291079 0.114443612119177 0.231657537724652 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0346951693724946 0.0434811562798546 0.027465503568934 0.0606315952767185 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.172450536315127 0.169990030372538 0.114432516996728 0.233411264139903 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0382130237411799 0.0461212287954192 0.028290362211302 0.0610116806854374 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.184368740281598 0.181486311533062 0.114639304604087 0.242122924642756 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0537251046303218 0.0593508774833495 0.0332543789896801 0.0647155573471871 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.199668703066248 0.193156723635369 0.116818108401563 0.25083567929744 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0684256490287518 0.0731748815112983 0.0394323429755188 0.0694210799949178 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537081867783667 0.547431593482211 0.879097685777529 2.1752194733098 NURBSSource NURBSSource 28 284 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0467687134137888 0.0448751832062377 0.0919978631102829 0.057530485061628 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537074528304733 0.547497044640033 0.879204613913618 2.17572584573131 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0465497741962635 0.0450151249541729 0.090964395435489 0.0577110050381825 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537074811316634 0.547613860738573 0.879109429418695 2.17591127902218 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0468346747701407 0.0452025250185665 0.0919415557205106 0.0577858354721197 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537090514129778 0.547893120663207 0.878797118670349 2.17603400559856 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0472308028876534 0.0459102346089256 0.0918579360227171 0.0581263734428686 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539014710154159 0.550399287574133 0.876052142646585 2.18026154251768 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0506196285140281 0.0489987588795916 0.0921649766041077 0.0586519483951534 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.541877989132999 0.553761247591905 0.871254401279134 2.18750360079117 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0546022224682981 0.05237423543532 0.091959107822308 0.058666214193193 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537235676139179 0.547943972098363 0.878856584827638 2.17631798871312 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0469619097086924 0.0453844123927418 0.0915552022151908 0.057758827053338 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.538078623892693 0.549142554825577 0.878219055711835 2.1792864889953 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0481351352576716 0.0464860067978871 0.0921016339539918 0.0580379397581946 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.539705022408001 0.551249417369657 0.875769768563518 2.18249751005256 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0511320551632901 0.0490949166379827 0.0927859270890011 0.0585427574374309 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.547164932537159 0.560815181546017 0.853899424959625 2.19915337158465 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0656930701867723 0.0630740672527167 0.0948068656043994 0.064901877351364 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.552437434484611 0.569467454127578 0.814888655593376 2.21112228328118 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0813327230935278 0.0799256434142977 0.0991199813467212 0.0768853052143909 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.14208214404188 0.136416691865457 0.119791598513404 0.193609218329431 NURBSSource NURBSSource 28 285 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.027996144791349 0.039648386948347 0.0173042328113035 0.0505249869871986 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142164880158808 0.136552777013828 0.119837201629605 0.193783748263319 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0278605354925936 0.0397018277800743 0.0169590841049739 0.0506057601315908 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142176593818809 0.136701686838135 0.119805015753432 0.193817286572257 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0278715366757081 0.0399560010004835 0.0168869747000849 0.0506544895558868 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142522654033475 0.137373802170946 0.119879599567956 0.19431331387522 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0283378304213594 0.0406052040333038 0.0171980100223771 0.0509568062994467 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.1456923236213 0.141032633020156 0.120145218831844 0.19678192845936 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0322773037675968 0.0438356976289532 0.0191677540613113 0.0511546509148962 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.150361999833204 0.145296680786529 0.120500242378546 0.199866688625886 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0373287978624836 0.0480930462303455 0.0213717967309823 0.0528271657865533 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142296857597926 0.137036775074298 0.11978551035359 0.194106884913384 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.028318367579545 0.0399699931288436 0.017328982785418 0.0497393402609246 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.142963149683221 0.138122652188366 0.119720716529573 0.19472657564784 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0293769498002676 0.0412176592921744 0.0176310443411603 0.0503977651625039 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.145525680730632 0.140717760477186 0.119484928984741 0.195923315580309 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0326765260490961 0.0438055851880651 0.0185193860780639 0.0504768031414887 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.163203524213264 0.153767695402207 0.120792832818145 0.204612706710752 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0500721474818552 0.0571837469210164 0.0248700810065357 0.054722124269917 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.188527248243293 0.16613674469687 0.126240016716451 0.211891489132749 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0699137837115237 0.0709981128209681 0.0344958031553154 0.05996915739572 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311774421783091 0.310101586599024 0.38070196085052 0.77428035372122 NURBSSource NURBSSource 28 286 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0256667764856419 0.0205269223178885 0.0150540501495103 0.0126852166868683 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311554236021053 0.309902606011271 0.380385965633871 0.773297511564793 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.025955034876851 0.0205960746569469 0.015339925649702 0.0126381587088839 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311859188542159 0.310301063703699 0.380439837271287 0.773942625295088 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0262422056252379 0.0209107408757072 0.0153478152447281 0.0125916432855842 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.312572852812522 0.311244952642348 0.380381019049391 0.774774031727161 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0273636836746397 0.0220409532087072 0.0154881050678656 0.0126440115504145 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.318308849002828 0.317068458621747 0.382362527650577 0.782862805258546 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0340179988593988 0.028187225532378 0.0166439289619686 0.0131193644593034 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.323667276217501 0.321636720291977 0.38278182301684 0.785081166945845 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0418707437454022 0.0354075804452404 0.018896527177548 0.0146710093132552 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.311614316479728 0.310181353897676 0.379764449171852 0.772080093010182 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267703143391939 0.0216238046448261 0.015325711914078 0.0126260797531707 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.313122262111722 0.311820211924484 0.379729925949484 0.773255818515511 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0290051949244774 0.0239148927417446 0.0154522162074389 0.0128724366121401 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.317237383062577 0.315782893461753 0.380137697215308 0.776894435383368 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0346462941622094 0.0294726571013498 0.0163011744686368 0.0137708462981362 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.342019766399294 0.336341436823857 0.390039651333643 0.806234590045355 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.059730758915102 0.0528868425091809 0.0248265172199577 0.0196418841795241 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.374029173977851 0.359270011747679 0.412480476238623 0.848494614266805 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0860299245254977 0.0767492762803998 0.0398935686295637 0.0300064286997193 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39056330894844 1.42977928610097 0.599958315672299 8.89759121923362 NURBSSource NURBSSource 28 287 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.088051383885125 0.118583287843228 0.198736516692786 0.26310828769068 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3905811811327 1.42988691633742 0.599842996269556 8.8989851284123 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0881948806550423 0.118664442018196 0.198796239133002 0.263152319663368 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39051694707751 1.42989268421924 0.599697700335484 8.89906644969403 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0885749035060307 0.11876275437401 0.199410983870209 0.263587034779725 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39027582796792 1.42992307565436 0.599313744327297 8.89947390208469 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0894868770133733 0.11931119674816 0.200903733215873 0.265289947761629 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.38782444384288 1.43020581585672 0.596501153743493 8.90319604988413 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.092804278964456 0.120921562244824 0.20233617398813 0.265460754760809 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.38297182099628 1.43097973993128 0.591543543067112 8.91322462567715 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.09770101727069 0.125303680711671 0.206966954421326 0.270345486054074 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39027526660668 1.42987824327001 0.599621081920188 8.89883575577046 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0891736191503116 0.118973808491232 0.200473064246373 0.264780718404023 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.38959213459096 1.4300232996309 0.598956762784278 8.90069721937184 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0902724769919446 0.11924615989611 0.200423622630613 0.264595530271771 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.38700162436663 1.43042750489277 0.596662206529068 8.90589265597641 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0935721420929748 0.121579706983906 0.201719120452098 0.266145313350079 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.36271338120614 1.43500161118052 0.576923450282477 8.96498225992096 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107718070257137 0.137329711536097 0.210230943862534 0.27769257778883 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31845510505082 1.44383551171937 0.551187018072101 9.08119597514101 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1223831880931 0.160344399994287 0.225591959989674 0.303488081579596 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84502132246433 1.89448471767139 1.54284497140561 16.1498044326681 NURBSSource NURBSSource 28 288 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0177551122180629 0.0761867799454262 0.020173395108017 0.0626347766319852 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84483758239528 1.89431856720213 1.54271611751662 16.1470276174734 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0179869923314021 0.0761681081054806 0.0207201179581325 0.0625243931326985 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84479572153308 1.89441080454728 1.54224075763423 16.1481371934967 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.017996162529944 0.0762515329724026 0.0202859863703955 0.0626106678904025 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8443553587854 1.89444122874994 1.5414195228642 16.1484244544544 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0186862287251484 0.0765048240576648 0.0204843925313663 0.0628016609742137 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84080079319886 1.89498108478732 1.53171287131563 16.1549256757377 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0221519342377166 0.0792389772017285 0.021093007822356 0.06457061889098 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.83302255151769 1.89463060454621 1.51525676771562 16.1498125419259 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0265480900973445 0.0837967301619954 0.0223033123083885 0.0677784625599225 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84454924195808 1.89436060791724 1.54286204955267 16.1480920588567 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0183007190148573 0.0763278139700962 0.0203139358066311 0.0626669027571466 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84362424283913 1.89443902871542 1.54097165951144 16.1487015723492 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0193403427296599 0.0770699820834972 0.0199742239273183 0.0630239206521455 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84027076132369 1.89482842139842 1.53258532471507 16.1528712943233 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0221058101983494 0.0796810183552937 0.0200669704286999 0.0643690351950195 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80138185570609 1.89338338115532 1.44912183028336 16.1360390690907 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0350865156724798 0.0998373904486382 0.0219435108420146 0.0809702022734229 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72729688922038 1.88964551698692 1.30683597132235 16.0940592936786 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0522028380291418 0.13442965016739 0.0363886736592958 0.133586429998722 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31081827541139 1.31876021673744 1.19711831598787 8.18399586665738 NURBSSource NURBSSource 28 289 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0340952005511231 0.0303677206187415 0.0503333876520749 0.0169742595225109 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31068859922855 1.31862005456265 1.19737339903199 8.18263006260909 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0342493113701452 0.0303506358785298 0.0503320675236573 0.0169535897440554 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31065265153058 1.3185982502528 1.19767085979093 8.18250798275814 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0346079321139114 0.0304075751462672 0.0503463219709459 0.0169433960993505 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31089012141236 1.31887244358206 1.1972519470831 8.18436644164996 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0358409931775825 0.0308997440639341 0.050613648693372 0.0170180585508639 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31040213014594 1.31877804702558 1.19680775858449 8.18058663562816 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0423635814518389 0.0354136986366683 0.0521518176879072 0.0178095305578155 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31014355571993 1.31928171445853 1.19373688685505 8.18188596436955 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0489596442941458 0.0416348835454855 0.0539435065640359 0.0188832923124276 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31002912516669 1.31797891284086 1.19818374660986 8.17619761831516 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0355404225551946 0.0307579424606886 0.0508216780975975 0.0169707252128882 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.31008052044387 1.31818308418796 1.19781985076218 8.17712374456716 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0378065071733631 0.03193780528533 0.0510245536645919 0.0170522122181532 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3100390787627 1.3185599943047 1.19615453034023 8.17818096867896 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0434304526000731 0.0361089953310501 0.0527050360814274 0.0176348357102416 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30465349202606 1.31738834598191 1.18498604522316 8.15755910311593 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.066538784785651 0.058077517382861 0.0626434452364917 0.023980136436268 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.29046999230455 1.31205135762193 1.16574998444851 8.09301771811621 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0904201290871569 0.0804457478186955 0.0784245190893124 0.0334050142694439 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.206985936424403 0.183813902696478 0.384060902251679 0.52193671480786 NURBSSource NURBSSource 29 290 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0525077563342066 0.0621463726307107 0.0298035160494181 0.081874199783746 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.207132334111817 0.183986056836275 0.384052360395271 0.521529720820327 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0526045682794653 0.0624192736002214 0.0300303285821349 0.082427540993373 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.208029559828461 0.18444555798435 0.386949011785338 0.522212167952177 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0526310652561244 0.0624599774275585 0.0299740272602842 0.0820520682899195 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.209725948925071 0.185816300000096 0.39139735560927 0.52295344838939 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.052706980036118 0.0630530139809443 0.0299137184417803 0.0823010745250702 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.223567423214112 0.19484816854514 0.429638678296667 0.531199567832112 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0558199681070607 0.0696702716920254 0.033065799822466 0.0868131885381155 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.244282428050927 0.205813679558397 0.482777474265799 0.543394693571965 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0628309297209685 0.0787452335871179 0.0423117195367506 0.0955225567801978 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.20854028416473 0.185088216321289 0.387667717094958 0.521861035321675 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0525862435422598 0.0625715143845925 0.0297506842690291 0.0823570397101552 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.211831889075556 0.18794595852595 0.394451736732077 0.523651963271094 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.053230089938698 0.0642675098622857 0.0305354123209841 0.0829533825850572 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.22547672318427 0.196486963740236 0.428032042206047 0.533945350280459 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0572311705308208 0.0713795538956581 0.0364880874141139 0.0903492575693303 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.312292615329054 0.233704723369821 0.65195193430222 0.577808724488022 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0865786982558434 0.109061788901341 0.0649362226378355 0.137813235704272 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.425521945357145 0.268965227355114 0.966259321236229 0.613635179407784 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.130367334680881 0.158303781644949 0.113035725109935 0.227051433616981 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465260386918568 0.497863793785049 0.397200655509361 1.55241302723774 NURBSSource NURBSSource 29 291 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0707136160172615 0.126325277483965 0.0832643208172468 0.244437831190201 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.465858772833769 0.498158688259707 0.400586299321046 1.55347443296463 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0704693781268705 0.1259725055818 0.0826475785450522 0.242379970480681 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.467521818300083 0.498687426505243 0.415134269832586 1.55582961848149 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0706564323849367 0.126161560495193 0.082941274780286 0.243372435711375 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.471283519907463 0.499203795781069 0.458240251656453 1.55680586735462 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0712692947156046 0.126598256593998 0.0834285710063301 0.24447245173094 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.494376787262435 0.503010951540009 0.634118902966016 1.5665324651749 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0737147152507001 0.128847129928451 0.085680926798224 0.247091390328228 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.524066188707734 0.509292244426695 0.852269761137009 1.5882768648074 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0777342944495776 0.131837101540116 0.0873861626439295 0.248686290431972 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.469891961623518 0.498494753955818 0.431212326165514 1.55409750930974 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.070785196148926 0.126401454584403 0.0828630015990249 0.243026831620331 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477328115315363 0.499560163847457 0.471680667810704 1.55740488058989 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0706434818878046 0.126549666496529 0.082539711211475 0.242345104296631 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.49850839915275 0.504038017231107 0.613818943001468 1.57081949385183 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0733672451808335 0.129882632174558 0.0854937005222882 0.249838684460932 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.600884835309862 0.524166685712851 1.37155402073841 1.63412942426106 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0926415328045891 0.146422684099739 0.10151940471236 0.27561315266143 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.702361398716263 0.547298347734097 2.11888183509301 1.70531315779601 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.126302728674664 0.172721932785095 0.136978953799423 0.323848880632939 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72806977467705 1.81730196150219 1.26077551974325 15.0206110687955 NURBSSource NURBSSource 29 292 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0916102524966476 0.220156937535641 0.236890273548281 0.628316684504738 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7277160444092 1.81742540135581 1.26005835864958 15.023214719874 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0916338476509692 0.220266242262241 0.237264530014965 0.630140501292692 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72723887104048 1.81754404875363 1.2616918036187 15.0260937298113 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0919068112638024 0.220215658402462 0.238990485574886 0.63056378072497 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72606669862571 1.81802179020983 1.2652695113604 15.0347368710443 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0924262927905853 0.219916849011606 0.239171094716291 0.628702581082088 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71672726342688 1.8216034566955 1.3040793651518 15.1003604051023 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.100745654062712 0.224712400890209 0.267028427690431 0.650513085987556 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.70430406296596 1.8274539043749 1.37577672297769 15.2053690721124 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113204575907776 0.232117994525274 0.313170741703538 0.678886829785987 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72689376120056 1.81792662824514 1.26477613390465 15.0320741403856 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0924453487041742 0.219966079117254 0.239515900814648 0.628001615102269 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72456367366184 1.81957535113728 1.28706702416941 15.0631174394463 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.09540764419166 0.220676625106794 0.249904598600348 0.630285105031641 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7164854171671 1.82399211707365 1.30445592757867 15.1444312440485 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.10216741268472 0.223920759094573 0.268017218733267 0.641337826594916 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.65892684541456 1.84581119600913 1.48767956286792 15.5368929681727 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.146985619295388 0.256649745811767 0.423334521233993 0.760064330853578 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.5733965107709 1.87578698201013 1.67582794557526 16.0813220859266 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.206081585756298 0.315596010914674 0.640139582433286 0.986342929936709 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.21407691144592 0.207189935495551 0.146267300240698 0.326094128745748 NURBSSource NURBSSource 29 293 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0548897735435288 0.059127091478252 0.0593797453233743 0.0794940019424725 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.214230310786449 0.207349581403835 0.146614671573787 0.326300597950093 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0549592385497525 0.0591413923580484 0.0594407566703754 0.0794537868370399 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.214374414463237 0.207452584666361 0.147127954413375 0.326240830327967 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.055101997192912 0.0591922690756237 0.0594848122219785 0.0795121020458473 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.215012854800596 0.207948115464329 0.148880561862112 0.326725460883072 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0555396691377448 0.0595650280053864 0.0596121529168004 0.0797234608787023 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.221526407487424 0.211600493192247 0.163448301804252 0.330329230136524 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0590195013675413 0.0628199561207264 0.060805111586477 0.0817181159837315 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.229875294328132 0.215688957184527 0.184426815868032 0.334550358593936 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0636638580822506 0.0670844897696526 0.0628262175155393 0.0845020695620685 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.215014453581316 0.207969600656644 0.149042363359026 0.327025563067785 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0551998663914971 0.0593960510942733 0.0593471108866063 0.0798219212850506 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.216986999013746 0.209859404148806 0.1541418463482 0.329843915963294 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0562242721468868 0.0604117924482506 0.0600284492868506 0.0803850823747729 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.22255281221746 0.213528080320634 0.169895688310055 0.335028889747229 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0590687343825715 0.0632297748175113 0.0609255606006783 0.0821699886153997 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.256550119756231 0.228129209883758 0.269271741735446 0.353981011509733 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0749543517616245 0.0802159575071807 0.06829246274686 0.0946783736398607 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.295648593405201 0.241987995843847 0.374849426140373 0.369935870789775 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0943554351902596 0.101978065506716 0.0822860625826044 0.113598588830363 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.533591328587529 0.555403463687066 0.819331184721439 2.24007256397553 NURBSSource NURBSSource 29 294 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0724257539627688 0.0780353275177873 0.194942072921479 0.131746803213022 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.533552340348475 0.55529702396915 0.819342814063711 2.2394402599345 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0725277211240519 0.078088942646749 0.195397139702835 0.131725068406182 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.533835162878456 0.555537090589552 0.819256851953323 2.24027653687734 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0727800067954842 0.0783472884871421 0.196156644064461 0.131942804377586 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.53400807379453 0.555779064281471 0.818806213927579 2.24015792814886 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0729103622781291 0.0783476171352466 0.195986367745991 0.130373558151064 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537796634923776 0.560500275293703 0.824457894401464 2.2588603639496 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0768845290084302 0.0823155706813432 0.203914403263259 0.134223221681278 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.541542567611319 0.564828486882856 0.830861210587829 2.27439487372325 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0820662573743537 0.0872712754566968 0.208692261668647 0.138204874201067 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.534395073872172 0.556233211683822 0.819290053264126 2.24242923731811 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.072856783252505 0.0784250326102415 0.196974893722047 0.132680571421853 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.535118272821329 0.557262417892188 0.82050480229409 2.24586623230073 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0737877000712834 0.0792529241198849 0.19930681235752 0.132827949384484 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.537667125529509 0.55970995987147 0.829342592671962 2.2539796262827 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0772179264794694 0.0825644968386318 0.203787563491099 0.13626686686139 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.550954773487285 0.574895399655099 0.850493337033796 2.31810260021876 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.098523788789166 0.0999729873839612 0.234157361596047 0.156809230500256 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.566356404356975 0.590466945129946 0.876477554455401 2.38545530623233 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.12673751327607 0.124710466229853 0.282995019560171 0.189331119067663 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.209615849767113 0.203017831073475 0.185097014085642 0.345563104344897 NURBSSource NURBSSource 29 295 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0479498913114717 0.0551632432724404 0.0409238101607589 0.0774340016072802 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.209775065402271 0.203203874279892 0.185236123723021 0.345890079839413 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0479174698324295 0.0550335082898318 0.0407866833542649 0.0770852770927284 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.21001562001197 0.203433506691482 0.1855444408109 0.346125000767289 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0481410808839558 0.0553878904506913 0.0413095345974778 0.0776321472838731 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.211214311618789 0.204366672260274 0.188127896737035 0.347514654445148 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0484247759515442 0.0561508626651545 0.0414948699047094 0.0788099709828615 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.218683001896308 0.208354097451736 0.199336002929051 0.351776901851553 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0519973033894319 0.0599185174783619 0.0437912894739173 0.0810581428461424 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.231764561040226 0.213323634626018 0.220357877073484 0.357077904991368 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0573992662857302 0.0649987953377868 0.0468607201118131 0.0846062951311546 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.209815249483062 0.203726785116193 0.185774786271832 0.346262043658257 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0485270314890775 0.0556780306210255 0.0415407145397386 0.0775934069290154 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.211872369814445 0.205146367700592 0.188846146203219 0.347669982854792 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0491787918445394 0.0569787857459517 0.0418847692110296 0.0784712365540626 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.22049701933486 0.209668379896381 0.202970387059721 0.353111548416728 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0526808257681108 0.0613655574260051 0.0437509662061153 0.0824573553818131 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.27677608911442 0.225220990489834 0.336328532115171 0.367658277707316 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0771986094291087 0.0841231912930106 0.0603454179403887 0.105532660198722 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.346812351483686 0.240629030678103 0.496086341166671 0.379504126618015 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107639158232611 0.112649616296114 0.0833097575892541 0.139918341940528 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.335246052545047 0.334560491785561 0.377915375039458 0.835829273504649 NURBSSource NURBSSource 29 296 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0395543073482408 0.0362838008602112 0.0273834615204198 0.0259903475876665 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.335670925467008 0.334784625871227 0.378804201632064 0.836355249991002 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0395765437844664 0.0363852630960199 0.0272912065667126 0.0260644858799101 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.335507939630775 0.334378096134928 0.379273298603107 0.834050628877644 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0397776709655955 0.0365698072351725 0.0273308321406995 0.0260921962158405 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.337019055292514 0.334871367355754 0.3845141558909 0.833826014228505 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0403630750640253 0.0370874259665694 0.0273567346895976 0.0259882662844858 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.349654726840455 0.339406015941686 0.436168399390756 0.837957696904608 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.04578818063693 0.0422055569429323 0.0290062957456456 0.0281443470496545 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.366105145798981 0.345292668733743 0.490771546772469 0.844603009714943 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0545459156016457 0.0488776294867388 0.0341501548886832 0.0310867003893293 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.335877117623414 0.335138278710857 0.380609683840961 0.835291235649347 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0403086142355264 0.0369695913811817 0.0276478127407616 0.0260138385268114 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.339781564628539 0.336477444330192 0.393647257787801 0.834439123858988 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0419525532584728 0.0386793699371111 0.0281341611396268 0.0264599133004215 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.352895726599018 0.342452198088614 0.449438491422444 0.846449027569097 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.047984864430854 0.0437967599531253 0.0314389526959523 0.0284822143860587 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.420665774202728 0.367807727299508 0.715431127877136 0.891334040115429 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0802872349229883 0.0722911413296937 0.0565670695645113 0.0459537658079126 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.495134006321047 0.393152871036318 1.05935787037732 0.936112359254323 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119262156953532 0.105843862358976 0.098382876248422 0.0780092772207571 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46444859228902 1.49979678955823 0.644168254138104 9.7502431056081 NURBSSource NURBSSource 29 297 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.130862178554666 0.157266781639574 0.293529329036524 0.352814419683171 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46438763417244 1.49985524642296 0.64796491571159 9.75113752802743 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.130902061180865 0.157284860920329 0.293611258429443 0.352809336745712 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46440672760937 1.50008350370819 0.653797078091917 9.75415986468479 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131332928391303 0.157478760082689 0.294459889069254 0.353340905303467 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46375847293182 1.50068911238359 0.663710229689073 9.76316803057564 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132161740803762 0.157872382047863 0.295604268088925 0.354592101870159 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.45916219535837 1.50361747333585 0.717790616496103 9.80473078898658 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.137500695818357 0.160634192594488 0.305424310217594 0.361451153041087 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.45177611457527 1.50864967266492 0.792706305311519 9.87499208353829 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.146954067431848 0.167731073082255 0.330005193327601 0.381376225426143 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46528847179825 1.49998111918415 0.662703961693132 9.75262610462934 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131829056966939 0.157631737830986 0.295149628094708 0.353889851966157 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46466620216645 1.50098300619007 0.682774298825914 9.76670034292806 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133806833053475 0.158719298733099 0.299291761036233 0.357425548277288 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.46130035586366 1.50370555464012 0.735165506249532 9.80526191815469 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140006395138337 0.16215222813424 0.312834078829645 0.367376923036612 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.42730476923147 1.52278220831662 1.01280363312767 10.0746255896676 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.178992424169035 0.193108189292997 0.420544207979568 0.441416912156478 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37098109190918 1.54718863459434 1.29730464515439 10.4255079902077 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.229076324031729 0.24577437572558 0.581941752671546 0.576186130652992 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87005554026135 1.91645748176965 1.87900241767203 16.9535521391485 NURBSSource NURBSSource 29 298 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0472559523084984 0.115894740609207 0.0450014534817275 0.122906021298946 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87023230230026 1.91650329746609 1.88101177418726 16.9536197736474 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0472948635548156 0.115953861181445 0.04504164510288 0.122955717929669 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87094382168042 1.91714162877191 1.88451389293921 16.9615535386975 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0474149748420427 0.116031077992779 0.0451693873272725 0.123543144816815 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87217259330924 1.91792622519317 1.9000021270519 16.9710982773526 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0476332832889041 0.116382945576201 0.0450082739258963 0.124078762443142 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87489934263946 1.91802994800196 2.04359600040925 16.9719807497213 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0536913593548473 0.124733090872166 0.0568956218815169 0.161555464737978 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87196745756635 1.91878395068835 2.2318289502984 16.9878266063577 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0606284848139406 0.137668770453763 0.0665194347353375 0.200415686787352 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87145990971475 1.91716760235674 1.89433027120088 16.9612136195213 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0478183896720994 0.116552067840149 0.0455737599364028 0.125251345320141 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87238024614827 1.91801175497536 1.93346605208828 16.9714486982117 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0495676997902988 0.119073208735362 0.0486723565364708 0.137447789268045 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.87157307235721 1.91809560134207 2.01854709687425 16.9730042920726 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0539494820583035 0.125588960811635 0.0550703861067793 0.157959469646926 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.83339790596916 1.91522432679937 2.46696081870946 16.9510370168041 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0870003787386334 0.182314146771365 0.112766997699508 0.352295033648794 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76500417140931 1.91284391317176 2.85633333158601 16.9476587180341 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13304646812733 0.268134304627701 0.218437344817704 0.681027932299594 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30814349216958 1.3095010897998 1.17679887557953 8.05760462814044 NURBSSource NURBSSource 29 299 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0563366217015396 0.0438578024049151 0.104912978195306 0.0387960023982937 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30857882080143 1.30984129974318 1.17654690946939 8.0604975848599 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.056584929351307 0.0438561313687859 0.10523007790807 0.0388298818821286 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30890351145948 1.31014348925713 1.17652551638704 8.06283646426331 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0569364153150957 0.043902427285548 0.105512031603857 0.0388265040188435 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30906786105185 1.31045587344285 1.17735232464137 8.0647655616678 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0580466778194837 0.0447385627318859 0.106649893837567 0.0404130703443978 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3078990091173 1.3116961723818 1.18600924536758 8.07514315513109 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0644394776355482 0.0481303829737437 0.111798252702661 0.0420095406063156 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30509186128549 1.31188816770896 1.21330533343393 8.07494704415193 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.074444620870152 0.055812404764981 0.126857955394122 0.0512507771168099 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30876326108219 1.30984699660125 1.17719453062926 8.05989182331113 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0573174865289717 0.0440971713357814 0.105685171303679 0.0390710477862193 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30878841617965 1.31001657681151 1.1800648727825 8.06084505546561 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0594333145023468 0.0453198024933977 0.107557439831487 0.040738662908397 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.30817576052 1.31095858329104 1.19007952203563 8.06916516484513 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.063867560468877 0.048814674150652 0.109278416712663 0.0435557166281721 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.29362917005128 1.3109070294329 1.25598147790014 8.05980768383911 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938084206022237 0.0732620263168254 0.145545514485603 0.0667653581424495 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.26943205743951 1.30930224169161 1.34285834137632 8.03493309211011 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.132692096584097 0.104899585418374 0.221050779233745 0.105771249110915 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.817616201533683 0.846263653906172 0.70626632500243 3.28669352752692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.648443905468304 0.647645723238532 0.632902982556422 2.0955614198886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.817981808886944 0.84641108200226 0.706724084796701 3.28730588717662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.648779055115029 0.647959270297917 0.634069527577453 2.09670302902948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.818228337076318 0.846693655949163 0.707504523535469 3.28961905213813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.649245873593929 0.648703671649108 0.635327791631591 2.09904894708826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.818501485121559 0.8469235274943 0.708327232066044 3.29112945051782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.649366069464844 0.649261215149287 0.635657244448772 2.10062234075035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.820425059055358 0.848129523701315 0.712272583108881 3.29911174260517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.654277907818271 0.652521365534286 0.648925694542086 2.11032833650913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.822417481405311 0.849356736522457 0.715677290971608 3.30596890667907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.657853069247757 0.655688499555304 0.656893465197403 2.117244850069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.81820966663505 0.846705132606374 0.707323577078236 3.28903420757016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.650016573993656 0.648945317837257 0.63727136963098 2.09859766447343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.818721473137752 0.847121553569839 0.708534010510266 3.29112053230571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.651129312086524 0.650269341957014 0.640138455131067 2.10134240064585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.820427589924664 0.848350441150754 0.712861817697268 3.29826114352977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.653922163145246 0.652966011454266 0.64779454043503 2.10919873191402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.826423837503227 0.852765417497669 0.723198558001637 3.32406263340464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.66371735546315 0.66350477353814 0.67121003108443 2.14606220136324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.833030010244508 0.857913203297137 0.733146232920348 3.35631612377588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.675400928495854 0.67446281987544 0.697935103324494 2.18953130626889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71067327454569 1.78815513574715 2.92279383219057 15.1975278966507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62408869037267 1.62531348211295 3.70218756154087 11.6704679980159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71096808385973 1.78864391166581 2.92543629906951 15.2026958131008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62538406208511 1.6262251698542 3.71551281473188 11.6859817993996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71160185036128 1.78925125732602 2.93050582124591 15.2099175374381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62528146468196 1.62536075011967 3.7171968844981 11.6837355796039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71212124035259 1.79004257795231 2.93843955391496 15.221025814788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62550919848299 1.62564592928278 3.72180438407626 11.6983054738364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7169280062761 1.79262127170572 2.97281433619402 15.2527010721056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62907067821682 1.63043850224361 3.75225694675293 11.7388470609201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7217342124631 1.79547016120192 3.00661290211996 15.2852699368218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.63134056819068 1.63228505951364 3.77285177412886 11.7662685174248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71311147809007 1.78921320234593 2.93828315179128 15.207967053949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62463257631838 1.62682852132609 3.71473144710736 11.7005129392265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71529214972576 1.79072721694199 2.95255204312828 15.2227071364353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62433425267299 1.62587988044025 3.71300649330032 11.6911219869882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71761440872438 1.79248842001703 2.97477817385411 15.2448381999894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.62944557089296 1.63056654402614 3.73793824628814 11.7235310823742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.73204085521793 1.80005731333082 3.0859175882895 15.3245258282496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.6404370644577 1.64780026362874 3.81914177533905 11.8985171348661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.74441097435351 1.80687336640525 3.17671996505712 15.3956978892012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 1.66142547776486 1.66691319185992 3.94154251301278 12.1260260945732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.701131514902563 0.697714282353482 0.49536331245656 2.90959614132476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.363870325211838 0.364063287003355 0.507339257889863 0.841612773007315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.700848777389382 0.697526208795703 0.495419753533208 2.90769009182904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364229485684926 0.36495505012893 0.50726070375868 0.845735657393917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.701989500031454 0.697725199631589 0.498201122189553 2.9083654311012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.364346103749079 0.364598111381829 0.506824627318622 0.84353466609558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.703921728929108 0.6981500078705 0.502075922174892 2.90950960134821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.367262905141384 0.366724078647019 0.512421672938727 0.847362723212901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.709215797222128 0.698770649618667 0.523047452604092 2.91078751225647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.370785737830582 0.373461817971508 0.518221123983212 0.870197552574452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.710518327855333 0.699406244361548 0.528716673780996 2.91107342273787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.375080451931499 0.378230651276523 0.52862859242099 0.888512844360847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.70428306259958 0.698660429809162 0.503199384339334 2.9132760630929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.367454907997824 0.367110879760928 0.513064388716511 0.850280170335277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.705905425520261 0.69895510083355 0.509596882538278 2.91387080423491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.370397930466072 0.368942777199738 0.519976680019789 0.85494094109206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.706030187320509 0.699187412673001 0.518979087903486 2.91252475259844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.372260950183501 0.371885646966944 0.524967383113063 0.866250386528731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.712259861579235 0.700667811755881 0.542313874771159 2.91332122954836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.38566394194263 0.385213545229996 0.552437068962288 0.912104765936163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.717396589784398 0.70328083585156 0.56937596216342 2.91728525251615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.39734520348684 0.393517146209823 0.575132448744926 0.943608630176723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.904188295743507 0.888531453552239 0.876115804546884 4.32319148682861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.466235461053325 0.466185486312444 0.613372134069759 1.22000376368171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.904433671560739 0.888614150932761 0.876196435427521 4.32352192517026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.467472261441702 0.466743292679371 0.61713805177653 1.22420418531163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.904626486957023 0.889061277302259 0.875248318609174 4.32570927843656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.467422746270968 0.467416526814391 0.61701042229395 1.22582854248222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.904263119691246 0.888760131284341 0.875090191974728 4.32256842527044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.469413479392889 0.468630864263928 0.619535963372956 1.23314358381678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.904924505947823 0.889807029606143 0.875600541133612 4.32559419300011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.472970044443422 0.473135592269072 0.623554128835881 1.25848741723867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.90483235589105 0.889902884511879 0.876929304916477 4.32256003094636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.476317836774268 0.477900134176321 0.627291975658867 1.28272973536037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.902901482515114 0.887518667892596 0.873803818971034 4.31435743576099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.468497482642052 0.467801502896679 0.617505046266248 1.22960538274366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.902120807307532 0.887239204593345 0.873730913525441 4.31092524315082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.469261359752634 0.469887103528669 0.620733396220884 1.24164726269445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.902431849619149 0.886878970788945 0.878317728585303 4.30599454031315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.471876182512355 0.474935338165744 0.62407898359924 1.26784536684836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.900885550018094 0.886483605554028 0.882013878376982 4.29113459278645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.483717455756267 0.486854591005556 0.6331632735928 1.33168063146435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.901061694533468 0.886731319381625 0.8848525903946 4.27945174368348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.493654486917306 0.498542098862145 0.648129816253163 1.3952090585514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07866962042647 1.12947184841867 0.868151408210242 5.49159901329868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.890128645614278 0.887103200079682 0.897388012386015 3.30601710553293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07881821892857 1.12963807805725 0.868977846885377 5.49301576955994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.890746241777594 0.887722130294008 0.899294689401246 3.31001771450741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.0793229334877 1.12991650499049 0.870331446277194 5.49454957650153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.891612135678625 0.888862627395027 0.901527287686595 3.31448120012472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07973671285079 1.12994864471237 0.872971532029351 5.49392798436498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.893247083900087 0.890419186821311 0.909087260216447 3.322551455409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08358068197081 1.131921978026 0.885447359329287 5.50463242313625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.89944089496686 0.896270256632317 0.926707654927386 3.34928676771235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08694626174896 1.13361865979536 0.897016973816952 5.51288235780588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.904487593768118 0.90458818405488 0.941356453638161 3.38783966439143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07990311368819 1.1299418605399 0.871695735408132 5.49405245107795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.891470702795382 0.889213722380602 0.901141803288902 3.31557389909063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08065068355897 1.13012493526788 0.874660733568018 5.49279128458219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.894138735495259 0.89233234175346 0.909841342218489 3.32836223852939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08435947243498 1.1327005846222 0.886643256283362 5.51089403907511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.899149075594469 0.895862183369975 0.929063289640739 3.34865889149924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.09142458876991 1.13827411879207 0.92211566806709 5.54238335405176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.920467768794657 0.918891936324982 0.999484603752931 3.45347773716974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.10342320995983 1.14746807789295 0.972882501934543 5.60030701186783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.940335339260214 0.938176708464316 1.05965891590126 3.56050543767476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834537857006968 0.847794340295437 0.942595263833649 4.81811460098882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.575365842790226 0.577243653310058 1.19273362332013 2.44246084937486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834738948703732 0.84788838543378 0.943188167586962 4.81841985761337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.574892964894717 0.577406811776115 1.19240408496051 2.44175802524839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.835400838339927 0.848027669174425 0.947225539607132 4.8189401291794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.576749110603184 0.579072323815334 1.19977181771726 2.45040365790735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.837632020733594 0.848359360062842 0.95972241108362 4.8202885083626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.579547614578886 0.581733088591972 1.20256541040184 2.46802058084497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.840461426574247 0.848623591763065 0.973967507101591 4.81918879395386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.592743783878369 0.594369258578221 1.22624679480478 2.51219306032614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.844106599802901 0.849190152376086 0.99237694850511 4.82152430124881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.602744240081085 0.603671962134074 1.24372204509151 2.5529946927345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.834359784892888 0.848062917720834 0.948439960419452 4.81932182366525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.579478551397674 0.581586500112756 1.20515570395345 2.46304510512882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.83560689388332 0.848314133903787 0.962504631450188 4.82022377064584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.582852510228571 0.585720315686843 1.21059044205988 2.48068913641583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.837312133687887 0.848190670916632 0.970368988032225 4.81728956701199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.591109770092455 0.593861880484699 1.22238158926438 2.51565654432588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.842023869260467 0.849293456053433 1.00829233737557 4.81968643837466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.618451993457478 0.620881321566518 1.27718744673014 2.63430873394829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.844464683612211 0.849522890604188 1.05205860755246 4.81386089244881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.642069283458062 0.643092941110675 1.33142655784345 2.73694634246601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.859461988581861 0.904441368068239 0.788036643905462 3.60235411385441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.722908034768428 0.721957225724387 0.726233241039402 2.40923324533345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.859401323876261 0.904357741855881 0.788251186603595 3.60102842253172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.723130988576264 0.722265504593582 0.726316114025668 2.40988146875858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.85971201184178 0.904316553102547 0.788591782253448 3.60040997227852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.723259477175473 0.722410236365319 0.726685305908069 2.40978704579113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.859321701403586 0.903768738927672 0.788787503452324 3.59623555106189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.723497550598936 0.722796576714078 0.727499021583621 2.41246463420762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.861190723287213 0.905701262951812 0.792270553970481 3.60948871968651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.727151915329358 0.726234023714597 0.736644447061925 2.42215361117671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.862947138007618 0.907214289290789 0.795709585452183 3.6174501541741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.731025415347338 0.729507695849467 0.747986037465483 2.43358889127876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.859461775203604 0.904349235318503 0.788974980170295 3.60057342012767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.723795177903174 0.722595054940804 0.728059046571894 2.4115735723268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.859745834657608 0.904627698752333 0.789519117628209 3.601796380149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.724564253112807 0.724077126848143 0.730070922700332 2.41619685934105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.860666311725147 0.905759714069677 0.791849241620862 3.6078900741024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.726751659196418 0.726715446941966 0.736645672799868 2.42502170544332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.867570036920087 0.911017609135762 0.807351029568591 3.63803484693055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.739446980621945 0.737825932072201 0.766591072828405 2.46664008431858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.874675620549415 0.916768485163792 0.822126781010038 3.67101506331025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.751929103971731 0.752603574616145 0.794555422239256 2.52593539112373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35025489351431 1.34802279931977 1.94613788901864 9.76504412012476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.772828613774256 0.773029595785484 1.67286285923083 3.99637377420033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35016157107007 1.34794197157239 1.94639318843943 9.76362567891702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.775100238150065 0.774478883687332 1.67539447380266 4.0083556166528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35002595363752 1.34797222669993 1.94803564398197 9.76391465661809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.775929144535836 0.774217906063558 1.67677441694673 4.00679884131429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35019432863602 1.34819088171513 1.95107190842437 9.7680176658412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.776845235865442 0.776130789174628 1.68234863978654 4.01906114949596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34890761617607 1.3476851135919 1.95101842244404 9.75842894069019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.782654845973233 0.783071843198655 1.68835548494935 4.07991827225715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34929166234141 1.34828057715489 1.95508285629933 9.76459979457219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.787569868902223 0.789625399357983 1.6950520203227 4.1313371126101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34965858776409 1.34788083077896 1.94894764920868 9.76336545852118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.776107015947573 0.776862320310243 1.68052334730735 4.03010259845223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34888394206541 1.34752117565798 1.94323279291237 9.75530031286798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.777210079077132 0.77751309210808 1.67433177824091 4.03280020011399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34905797804884 1.34778984651671 1.94771574144813 9.75375481664765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.781982907579777 0.782139523773997 1.68214365423054 4.06650352373525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34741165016225 1.3472142284425 1.95873992269382 9.73094039589707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.80375799422543 0.801174268060021 1.71736973525558 4.23069385681271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.34734208072606 1.3459640429708 1.97717677109998 9.69327582914828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.822344780744592 0.818100675232874 1.7499201383594 4.35918634968335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.698657250392189 0.717764324721678 0.588537407305545 2.84876459819837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.628685824184418 0.63248617699457 0.701736019682119 2.25232061227462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.698721455572832 0.717805781041582 0.589150507258896 2.84912231410895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.629083289608948 0.632752234619145 0.702512245133646 2.25350599830817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.698937302639949 0.717904124426338 0.589749090883389 2.84934876920927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.629223362497247 0.632842865377407 0.702713300086402 2.25369483397158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.698892638211554 0.717916336575007 0.590022800108184 2.84910339755396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.629481656245856 0.633103649513941 0.703523012306946 2.25471805776106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.699354934091243 0.717970949292671 0.592100045520266 2.84833216404698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.631169634979211 0.634697829386157 0.706573276773857 2.25967444342417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.699962605167413 0.718381338932641 0.594751730010134 2.84978822801673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.632285529142155 0.636174771373218 0.708723358096452 2.26415886731028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.698907892060952 0.717954364692848 0.59026693348109 2.84962942970993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.629511921818562 0.632901487343725 0.703277509772751 2.2541183886157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.699278796016941 0.717775193505754 0.591318591033331 2.84819772004766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.630038033934548 0.633334378392165 0.704322891437457 2.25370645634167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.700161313120334 0.718251300454998 0.594914701495869 2.84983703330308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.631739173082226 0.635200555750593 0.70755294694688 2.26150110491862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.703104275404282 0.719913711458351 0.60521812038532 2.85607837313804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.637169392629946 0.640611388029616 0.717436787857816 2.2802390188082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.705999930120624 0.72114271149259 0.618384581654786 2.85857923131467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.642929677504565 0.64593030227388 0.728204723447561 2.30365980321353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.593387982578765 0.632592387370559 0.340538428834041 1.66073801075633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.535841760569527 0.536278203702369 0.335109148421508 1.21586456891171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.593472853438484 0.632671345259366 0.340626557317744 1.66126409265933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.535932195148818 0.536317103343503 0.335604503195002 1.21633985808029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.593695533663096 0.632644515023354 0.340838862084439 1.66108844390647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.536078691835969 0.53615136911282 0.335844860740226 1.21553184342918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.593721406322424 0.632637111197579 0.340793534121008 1.6609554954865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.536195083564707 0.536463871971635 0.335904572103641 1.21606560875074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.594471472662098 0.63298247287161 0.341963959945199 1.66208633831731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.537158661095776 0.537542596720086 0.338342809073027 1.21929954232846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.595304387939428 0.633395788315259 0.343497446072191 1.66350854364283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.53849749869701 0.538603134966655 0.340825261121045 1.22201250917813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.593609620814903 0.632426612883334 0.340365649951371 1.65984320025798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.535901215161279 0.536170071191101 0.334939644394416 1.21504147245321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.593848514998767 0.632726880135445 0.340838175052559 1.66133496309072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.536470732461842 0.536497346947178 0.336141225890291 1.21647615448033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.594723462253788 0.632967802646797 0.341803402260332 1.66212078039545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.537599458528295 0.537605078636984 0.338535456929387 1.21948530047476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.597590914428388 0.634700426907289 0.345329367905255 1.66850750189049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.54200934377738 0.541843101666034 0.346723456812602 1.23133483898691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.600995216253294 0.63673093302402 0.348603245789384 1.67653405948171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.547588065465553 0.547490729251691 0.355613757626693 1.24912867340756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.778228050319219 0.786223671806697 0.540281992906637 3.2861418829407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.159111797347788 0.158431294369081 0.0905237711451202 0.169160362235911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.77865186103734 0.786417352514173 0.541089513232677 3.28661102908793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.15998318730389 0.159344644528148 0.0917401978995444 0.170835984011595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.779087314879074 0.786823506963523 0.541155619511758 3.28824962987193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.160745274137146 0.159869143843376 0.0933251835141848 0.17217012101528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.779575687699079 0.78712157563827 0.541317333156754 3.28840580755087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.162353180304335 0.161417604074565 0.0959024965316548 0.175243077386593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.783218503944223 0.789339036481666 0.545036619164673 3.29752546694932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.166689833567096 0.166295962971322 0.102425071183936 0.185013630776233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.785682079806697 0.791123163930516 0.546724474265626 3.30388344170713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.173275011247407 0.172434558001167 0.11442473183448 0.198805469960012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.779486622478747 0.787151399863092 0.540265525181897 3.28923922925707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.161252448525004 0.160858466736055 0.0936854381374754 0.174763203843701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.78033473425862 0.787958952582413 0.541008678478901 3.29171568319933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163692666476293 0.164069736426116 0.0971313911372937 0.180957580774279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.782527197749055 0.789357409441473 0.544727305316674 3.29682829787352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.168162679272122 0.168663750876056 0.104774683186003 0.190278387831728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.793392125210796 0.796064899729079 0.556950852219883 3.32140139063936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.185108411777038 0.186084645464273 0.132613501159868 0.228390237690368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.801711200757937 0.802142236517887 0.556760364157505 3.34095246281912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.204375984843071 0.203981774044359 0.160343907825138 0.266557587964924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71242144004545 1.72366550544435 2.48528465400164 15.0113691443663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.708393484835372 0.710995032290155 1.38230804232355 2.68451041625932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71218835459454 1.72358008121993 2.49800669838671 15.0074658434151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.710120246530908 0.711921977160618 1.39079712523133 2.68844327903572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71481269287794 1.72511108291293 2.50950941526533 15.0257153987809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.712235166043547 0.715597992721154 1.39879184729586 2.71372536676011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71758030332564 1.72714849162432 2.52388552205593 15.05092730726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.71673569559223 0.718714680025117 1.41956182606983 2.72988500389034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72339846229812 1.73231680776496 2.57578144759247 15.1142378242875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.72993165896813 0.731273768248841 1.49368276220157 2.80231800483853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.73146030696724 1.73987941824995 2.64851001430992 15.2095833794753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.747854749370459 0.744138208041526 1.58356617322156 2.87591095036747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71548349852714 1.72585793533707 2.50932619915186 15.0336519296336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.717678066701676 0.71787281268418 1.43626817734986 2.72821500656647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71807594165916 1.72752686019563 2.53753400010499 15.0456348619625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.721908127153752 0.723017803249107 1.45998476944875 2.75938218548045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.72393225431081 1.73170706304939 2.57549048254444 15.0951174153432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.734912711574668 0.736516651284672 1.53967531547075 2.85692619973552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.74438618132205 1.75326227486442 2.74741771417605 15.3506166827356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.777883941230576 0.780187500732899 1.76305824815237 3.12738343922021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.76840203967445 1.77247415333005 2.90364401475725 15.5719055794503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.820169713399769 0.824149158277909 1.97286537529746 3.42926485561405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.931220934483899 0.866998189899607 1.07219760034446 4.61198739355458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.222310715306869 0.221605492356087 0.314312355945181 0.392162572169022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.931539795945857 0.867285345082517 1.07329795896399 4.61340967146937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.222729089611369 0.221838008927437 0.314785872693682 0.39246373879831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.930579348728811 0.867371630645327 1.07207741729025 4.61324976219131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.22391984187003 0.223177380131574 0.318225997358682 0.396682947660206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.930826883679213 0.867813907310265 1.07354826345637 4.61491860632151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.225555928291794 0.225137635131995 0.321978400266675 0.403593901738776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.933450799489349 0.870160250110697 1.08464075847676 4.62869157239822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.233069980690317 0.233105888277702 0.338032304050796 0.42568640967536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.935069410538808 0.872665420749911 1.09721777803031 4.64277853409202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.241135757130966 0.240313467527322 0.360098277284338 0.444616624797985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.931840187446585 0.867659870111494 1.07192536161972 4.61371808359914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.225639695755964 0.225849093854195 0.323760331786498 0.406665971792393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.930464593510114 0.868196026863961 1.06866281853582 4.61597454043621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.228446447295469 0.22804252871957 0.330825395112634 0.410451048047239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.930795424634802 0.869787247929183 1.07255528186476 4.62297826659753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.234740504023263 0.236618138320798 0.347936444516289 0.438929324768646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.934738359807233 0.876671474089841 1.11281761204645 4.65470575254249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.25314742808719 0.258046628346636 0.396614626760933 0.509043083176554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.932393968812179 0.883117900509335 1.12399805432452 4.68718022963609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.277065374239402 0.281231483668078 0.463672069166946 0.587903189487886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961104146468125 0.944531251394587 1.7195639370025 5.46360402259654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107350946308076 0.107294778731517 0.0760027905532835 0.0936692753152044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961117975011923 0.944576592839911 1.71799333873919 5.46272303046638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107647927398992 0.10770028845246 0.0763336533252408 0.0942540296019599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.96175357591963 0.94462068343062 1.7199189054033 5.46127482354388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108194507285853 0.10818188628349 0.0771363011497645 0.0952476308364527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962542150356283 0.944976629875153 1.72130907499167 5.45970481069308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109066124828666 0.109996481455566 0.0790384309963447 0.101936418507622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.961092169983214 0.943633312780028 1.70369202875807 5.42812319592404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115453431112479 0.11434093722855 0.0963246988066083 0.114322600725678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962235194507415 0.943693917848631 1.69630614174404 5.4118560730891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120035071890075 0.120146837487286 0.106795620156646 0.131965880544531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.95948251569064 0.943420585496742 1.70943810340286 5.44648544326779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108747875355488 0.109588190795755 0.0778121981469813 0.101002775459058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.958587042900256 0.94260017507961 1.69564163984544 5.42772516718526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.110510420418503 0.112558011690908 0.081001701021506 0.113172192611714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.958764335604689 0.942545348210202 1.68302055658194 5.41044117436228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114827887614519 0.117840842203083 0.0883647521956875 0.132988954029926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962068223436142 0.941833089408676 1.63645214772434 5.34218705932148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131345573527139 0.13266507811822 0.130723056922626 0.184336173253924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.962884350434546 0.940610649871821 1.58041209800746 5.27266610181686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.143734817678333 0.146049893233572 0.146660091155012 0.213714284236065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.979232358160323 0.991790709898539 1.16252183805869 5.31487736007804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.188228861007254 0.18820465733773 0.0894541556210849 0.175668538755553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.97949256225303 0.99211481585082 1.16434981562592 5.31620631472358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.188546327744656 0.188516956356711 0.0903003416424848 0.17627435402655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.97967269546399 0.992436970210791 1.16412269207166 5.31712439617578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.189142265716459 0.189122970025836 0.0912337284942857 0.177844672053831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.980148150213746 0.992869700091032 1.1616940343116 5.31661044830935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190761739050268 0.190342915081212 0.0962116930318434 0.180996858499462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.985794508216712 0.996865783126682 1.16672285696321 5.33070935421069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.197508100688161 0.199324169314415 0.108828945569415 0.2054005198946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.99037227633885 1.00064793623274 1.16652206258687 5.34503729701062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.204632053259606 0.2062984087051 0.126598793239564 0.224575025569801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.981580155799958 0.993538860756631 1.16563423359907 5.3218115449358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.190802677726302 0.190687334242042 0.094841479867973 0.18146214147903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.982685561370647 0.994938341598658 1.16455950704563 5.3274007708119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.193199818518846 0.192029001738726 0.101550979644226 0.184411154887127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.985003221742646 0.997093074729089 1.16302844533378 5.33145854730534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.199923855477697 0.198262370836068 0.11777470622081 0.202885217374473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.993825942739842 1.00603838841811 1.1536491182265 5.34912446507694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.223544506464415 0.223304619948309 0.169063212287313 0.2692050177404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.999554562866871 1.01301425846237 1.13707945340696 5.35013634870692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.247943906899264 0.24608747498877 0.216426907254532 0.332509029572543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07197895350378 0.917609284560291 1.32841555762145 5.55290900054453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.308932184153199 0.30672278224271 0.458710419431248 0.555592032959515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07344087826407 0.917796890282898 1.34083747377074 5.55308256940229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.309851974624568 0.308443220398675 0.460622686897457 0.56231428708789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07283235511316 0.917897047782264 1.34121138031744 5.55331683684738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.310988581604747 0.309608117353149 0.462850311608768 0.566186929327488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07181713735715 0.918014149067892 1.3457157267558 5.55417464444274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.312710224694866 0.311690952266879 0.468601074792455 0.575962667455805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07180336244847 0.919192487403054 1.36576848235763 5.56164620199396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.321898011975012 0.321476267073316 0.496819271497291 0.615413315621089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07316368355097 0.92033072913712 1.38008791829773 5.56806612998313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.330666469446188 0.330626731313376 0.518922351515524 0.649762212455618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07320672275299 0.918157350998382 1.34870030228248 5.55550432079759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.314674288144978 0.311556535560889 0.481427096172987 0.570058916314037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07101024827013 0.918575026224931 1.34820438844203 5.55836247114711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.317791301829778 0.315548517331722 0.487431684553178 0.58574969569917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.07083298749264 0.919499151890679 1.35165752519062 5.56359233465635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.323118437914259 0.321824089098353 0.499454396085366 0.609639138137111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06995999564655 0.9226387145771 1.38022747244566 5.57927744583583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.35265151686522 0.351568726625533 0.588383527486443 0.721719312537516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06484117666495 0.924936879522831 1.39029152634995 5.58559284030994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.374839591351639 0.372473766961039 0.654433503364747 0.811621340075436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.785268225685026 0.791473116860565 0.622239244325434 3.43356830218873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.137455793792916 0.137216918160551 0.0506259507866489 0.112644482769315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.785812299119938 0.792091730217836 0.62293054647827 3.43641750510981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.139189798735666 0.137677863871344 0.0541454109944196 0.113379071570767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.786465451792132 0.792720055257621 0.623896645539524 3.4391433664374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.13973539896009 0.139050066246436 0.0551974789559892 0.116755730882355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787737201101583 0.793727864699939 0.625010678963608 3.44269291190464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.142691499050877 0.141598611589757 0.0614160167094826 0.122559064579423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.792681850785834 0.796769251620863 0.631869374152202 3.45253336320276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.149722813534295 0.1498255349211 0.0745362739631015 0.141181459522826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.796945459052786 0.799623005091863 0.63749879485655 3.4627105222086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.156253219303671 0.156166870943453 0.0845818200665815 0.154153458815055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787166026730381 0.792731156025977 0.626381111983059 3.43661058019148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.140455433777663 0.139799073585672 0.0561697968630714 0.118109878621922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.789196668847519 0.794030567052008 0.628090229812265 3.44072002108446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.142588030896146 0.143837050676908 0.0592310737032982 0.128355657873319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.792453333600431 0.79621684580325 0.633929548144726 3.44725876521716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.148701966241377 0.150382355078387 0.0702368350199535 0.142425958193051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.80156375219987 0.804496675626412 0.638865865933104 3.46816818251717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.169150424503021 0.1711065824561 0.102894123092947 0.187788278833896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.810370608010605 0.812247906802924 0.635207073398104 3.48576075192619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.189242586512213 0.192005596910705 0.132538082879505 0.230712700575652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49798937836729 1.34443607058323 2.7606331128152 10.7435642705195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.435358412783373 0.434744635606919 0.893500093950845 0.884455089258568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49725989730966 1.34423670436088 2.7594503457581 10.7383510397523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.436035131456215 0.435829686445783 0.8962979291772 0.890226293785597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49640809790916 1.3436869962701 2.76002221923185 10.7315816720473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.437292702538051 0.436897614246093 0.901101912749772 0.897975215015327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49438910674237 1.34278449464285 2.75346375188087 10.7115108144211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.438790385562135 0.438930491404593 0.904872452018002 0.913173413759734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49096189861641 1.34201757347334 2.74166376691651 10.6869311254744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.445821220963958 0.446808600046092 0.928623614286469 0.964777433537476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.48649898081514 1.34034813270482 2.72857120188707 10.6514143538374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.453149711785904 0.453149448442715 0.955484209632346 1.00520973083858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49589414427899 1.34344995629866 2.75640002878566 10.7260452797846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.438086286382876 0.43776093483581 0.903579040048655 0.901001695536958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.49391686986348 1.34284786324428 2.74658289646379 10.7091067810061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.441591839077554 0.440618496151226 0.914381525641731 0.920190130583946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.4918001529091 1.34234308890628 2.73380853227686 10.6865113657015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.446773302810323 0.448079727445913 0.928924453662704 0.972357114228209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.47558465091032 1.33594418296036 2.68452884218999 10.5498129214719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.465428066334085 0.467593482288608 0.996955007615039 1.11546291955118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.45881975349767 1.33002954171918 2.62831246436985 10.4197919741765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.48100771104417 0.483246514409136 1.04535700966232 1.2405508249927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.734689547826296 0.711417113794596 0.458816455504173 2.86901744752837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.146618592637172 0.146335085769569 0.0715831515756365 0.130442793133802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.734737403433803 0.711537650887618 0.459281302115626 2.86941198246848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.147755176850007 0.147708062360534 0.0734400900199787 0.133580925493892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.734890844636403 0.711603077896477 0.459801263583742 2.86968196852751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.147921940695462 0.147849435318153 0.0734320488830883 0.133191045565657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.735604043357324 0.711771918038125 0.46069213614178 2.87011930051106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.149800442499567 0.149243804260508 0.076260104565694 0.136050663962238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.737444938096674 0.712696103740097 0.464429738135467 2.87268165330456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.155407554163549 0.155326018220739 0.0840237808062289 0.148397814071482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.739726255097904 0.713575495055568 0.466868700738407 2.87471305792562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.16046519949405 0.160564059232204 0.0907662025510951 0.157895179999202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.735670066906361 0.711732174933216 0.461099091486242 2.86978910863354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.148950006598822 0.148056113167168 0.0748835276878174 0.13309453382892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.736876730377408 0.712024671739398 0.463880951620818 2.87041844894756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.151262718900464 0.15068793334421 0.078142741995978 0.139952519197449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.738505035213297 0.712849316763796 0.465934037625548 2.87308830411554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.155428921641107 0.15526724842921 0.0841426906813523 0.149439738858794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.74552391045167 0.71586138355609 0.471745089176064 2.88020242545914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172145754996234 0.172825360552867 0.105729958651119 0.183252001458235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.749764326109264 0.717918251007155 0.471684786572773 2.88141957617947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.187882193275004 0.189149813372659 0.126695683233407 0.21623234410262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.51914928980053 0.53316785039369 0.267118877147874 1.52104971238236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.112664518117726 0.112672082100173 0.024584000350189 0.0659237492328655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.519557843827122 0.533547129459791 0.26750943069818 1.52205685776847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113362776202481 0.113210236600233 0.0255934162490359 0.0665920943710514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.519886247261857 0.533809295610059 0.267912671945326 1.52258543743959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.113854194329575 0.113605325342662 0.0262335369158085 0.0672978309130845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.52087267364731 0.534542371471549 0.269225877049512 1.52470604375668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11474609686985 0.114579068610594 0.0274035601386691 0.0689448890999519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.52336849812736 0.536454815157399 0.272240748044448 1.52879208616341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.117799073343094 0.117714362189634 0.0311075117710573 0.0738447175156363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.525448956537294 0.538160267956233 0.273977391054617 1.53283030156056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.12074611544404 0.119940148806953 0.0343923772443371 0.0767380597040053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.520499267224874 0.534277939563804 0.268475355315356 1.52431824395128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114248103857857 0.114028520551263 0.0265952280050837 0.0679035411005481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.522022356503311 0.535300702467246 0.269628945943718 1.52694590768688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.116066304436293 0.115572004223691 0.0289964007488586 0.0700445849638733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.524152791107779 0.537079248616048 0.271675711824078 1.53176334663655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118969143617583 0.118280133364721 0.0327117136050501 0.0745578521783975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.529983844294628 0.542256887013431 0.272576556102562 1.54088832924171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.128903892305075 0.128917239747532 0.0424308963356413 0.0893279336169167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.535207550253369 0.547773871084329 0.269889067311227 1.55006327593308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.141687916134516 0.141235125224436 0.0539587708827377 0.107151674394067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.640239994975591 0.627408229323817 0.650351039690072 2.24800667629171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0340979929567559 0.0250692892963622 0.0357977053046256 0.0103173686583553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.640984060442729 0.628251311515886 0.650775928759892 2.25237549129941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0349333176753715 0.0253196660542621 0.0371017393695548 0.0105474908960874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.641867775664075 0.628843642371686 0.65130231791006 2.25471334589036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0357154180731109 0.0258961596221981 0.0384639599101877 0.0111710333714282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.644128475479273 0.630081263454446 0.656935883924949 2.26056716202193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0377563179140266 0.0268122991974062 0.0427068200644557 0.0120873990095087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.650021586303166 0.635315602888343 0.661755324988231 2.28094101555265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0450761581909418 0.0338009586419173 0.0536951541456147 0.0184444330434841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.658480651901606 0.640520227132197 0.674226511050676 2.30200924204569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0551961208191251 0.0406609658992401 0.0689218714523922 0.0240366768038253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.64256223929042 0.629358317675129 0.653505504666064 2.25649556740784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0366645538268291 0.0264494725106412 0.0396186159433433 0.0114849980941499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.644596563259356 0.631164345468894 0.654686791794791 2.2629414336351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0393520081486495 0.0292109080966331 0.0431990025617787 0.0141011847580494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.650563338050989 0.635293086179714 0.661618288324658 2.27765420417101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0460020261445092 0.034231159609052 0.0519146353849406 0.0184176114393564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.672941866819426 0.649758736531794 0.673583625551045 2.32962212093426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.076599585111417 0.0591211326740018 0.0942692253158018 0.0403612974202672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.692231725785429 0.663287669259536 0.678865297459166 2.37922960576269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108999851690603 0.0840508128628202 0.138935589192656 0.0664167020223068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.36598947244005 1.32754981235505 4.21978147523552 11.3197699148113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0884624834303973 0.0599069688439523 0.0840292207856939 0.0470893849062249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.36770640331341 1.32779123290238 4.21784781799807 11.3145073120456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0892881420958402 0.0621921078523625 0.0858624858666504 0.0547384144215047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37115866712623 1.3294331119803 4.23424153811956 11.3322299371403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0907614224361227 0.0650174197761542 0.0894192671993635 0.0639666329594598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.3762104827676 1.33137806449779 4.23844662938973 11.3437133002044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0942753215318467 0.0664177885682578 0.100406898899389 0.065291904740972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.39468770457127 1.33831812636093 4.24721569364359 11.3782491728663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.107488003454002 0.0849734367400006 0.135974299329686 0.154669730643221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.41113637081316 1.34412326349964 4.27619147794476 11.3993376464943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119397149631537 0.102631293939387 0.162652802461261 0.218657804024864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37294282976005 1.32980840673986 4.22201716946026 11.3290477259329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0938826560413818 0.0655133884474788 0.0989178983853484 0.0688307239319821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.37833403865538 1.33216907536627 4.22087057121783 11.3366370430786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0989598140006111 0.0698643340029445 0.113715404605882 0.077846154931982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.38967243917208 1.33643318041403 4.21098219569306 11.3444350062745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.109226093104786 0.0836369110787508 0.140949383524735 0.133112714617485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.43215553831838 1.351207444638 4.13523023055147 11.3052209492025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.151827831824874 0.141810838227568 0.245836438049501 0.368496692676397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.4821837765979 1.36626171091444 4.07029158720852 11.2604575746332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.193344577350253 0.191632345218142 0.331710725964091 0.562612714828991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.72889310323422 0.715565724260366 0.894495126998502 2.94035209868269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.032426342438818 0.014832602404713 0.0323371237731322 0.00423922647517188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.727923027324638 0.715346040598133 0.892985251917119 2.93898391810872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0333253926535334 0.0161901135896948 0.0332991579928262 0.00730996442885769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.727797434095269 0.715509561696604 0.893584201025721 2.93927128000999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0346890795414525 0.0171602607339496 0.0350272530428084 0.0084937112326187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728213321776439 0.715636986785095 0.892090747119905 2.93822390695368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0360129886120751 0.0185188519308014 0.0365158638689609 0.0102793902740215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.72830943362831 0.715943565259929 0.887634816337565 2.93487790216719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0433460669660434 0.0258830833904633 0.0437814923852921 0.0183956604051539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728400135092882 0.716479767144983 0.884064403221708 2.92963492799405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0514011338103094 0.0324146644827125 0.0509398001509173 0.0239060264169023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.730086063489077 0.715771612323535 0.899108655091635 2.94061800971313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0359420974045328 0.0169588431046018 0.0368624638116793 0.00698142765339638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.729506049669542 0.715650849039027 0.896701656419131 2.93588271849374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0391885713463322 0.0193290476747151 0.0410412845415164 0.0093277704720444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.730696476027518 0.717102245234241 0.895982580737102 2.93933922885623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0453262869836232 0.0267322499797294 0.0456129106192145 0.0190543030048529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.732658434105052 0.719605510798483 0.883560109629216 2.93168298947713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0719812288142912 0.0504563086918553 0.0739603150244314 0.0414615676180145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.733521777581811 0.718460297975444 0.867213766448042 2.89494980751146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.102086960499156 0.0765019189008892 0.107391050190496 0.0657162392679325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477239143835643 0.471579511650153 0.221447166647516 1.10750502430688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0233988307044606 0.00748980585105397 0.0135466637125488 0.00225109620032501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.47768608403334 0.471647275209302 0.222178260765532 1.10741980816703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0238721286935709 0.00780750524630465 0.0137546648130869 0.00243134410653915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.47754508745098 0.471235712060676 0.2227655602332 1.10493707489043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0241188427379404 0.00814889605475853 0.0136391595142443 0.00262022098611203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476901303938985 0.470437388903094 0.222914127332839 1.10024462917676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0252985730216622 0.00883383356401022 0.0141830860749229 0.00272734061714642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477601460029515 0.469566559999751 0.22415042821837 1.09131487232372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0296355079611886 0.0131998248038217 0.0150897689986668 0.0037836409826387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.479478498163435 0.469323761518679 0.228191735931277 1.08503169952038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0350874379303915 0.0182828836966923 0.016496003422638 0.00484794526569226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.475956394127587 0.470617295945619 0.221886360020118 1.10137220418517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0248850694890745 0.00868166190154065 0.0138780877509632 0.00284084564698897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.474942583836453 0.469620309820533 0.222431649411246 1.09469408480682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267776632327487 0.00989340282549203 0.0145294091620328 0.00293011988105721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.474836760859718 0.468037235783881 0.226422907117544 1.08372149858599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0305974294884871 0.0138995712317496 0.0154902963434807 0.00383195623604742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.477337791018848 0.464855496795919 0.237263601832271 1.05206040171599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.049697062499558 0.0322768429411407 0.0220318019805719 0.00900653432347313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.481237522086999 0.465456273106306 0.249416519379634 1.03814480612047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0722903697282872 0.0530933748664427 0.0351684347158476 0.0199364823745553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.983310839623336 0.967821959009361 1.44145888565727 5.18724113625566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.035243902851084 0.0282053617501159 0.0199974258192412 0.0387362016056275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.983549902972559 0.968996471826957 1.44144275453971 5.19483517308728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.037556799478462 0.0293842986474147 0.0248549759711726 0.0413339665429265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.985078270716964 0.97037642920536 1.44297429209387 5.2027095287588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0387942004929495 0.0305626274671449 0.0288918925777164 0.0436265797354434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.988048218515329 0.972272209639931 1.44977448334627 5.21321964648629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0418700672239312 0.032468125189873 0.0358235949461531 0.0463158870403823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.995337898377373 0.981140686714895 1.46026227134695 5.2639602890387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.050703794006968 0.0417991545965759 0.0499904948544479 0.0635454858597682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.99955494506883 0.987017964839617 1.45923539434462 5.28611400229413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0600728641327686 0.0520251384788209 0.0644528091358517 0.0854400117304761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.984894180103075 0.971204643020659 1.44106302693226 5.20685745830324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0403822814054464 0.0319999689743682 0.0314811762352316 0.048189280339531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.986390807329665 0.973866536094533 1.44102566799233 5.21893641463907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0441520122383221 0.0342452603288527 0.039397282924648 0.0507592488052651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.991180682810058 0.980661996135193 1.44133786267922 5.25543715802708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.054420888162482 0.0450122335159468 0.0573352077315358 0.0762519172687918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.00917345750979 1.00441081015846 1.45590633953728 5.37426881417073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0863255416193899 0.0782217489253281 0.110152794036394 0.136050911794961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.01676119282381 1.02041735307313 1.4493910798515 5.42987887356227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123591882761125 0.112353433091283 0.178403919230974 0.188649633950473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.919423383358322 0.884746946663741 2.02341164502262 5.25265295936404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0456120284966476 0.0349385907765869 0.0265068556691765 0.0134314962998974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.919719286247288 0.884906110181802 2.02362777794301 5.25339187888533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0463975006247303 0.0359440991337906 0.0275814031504903 0.0158963865820443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.920191392308925 0.885147533869952 2.02403197062094 5.25446115020729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0474827875996789 0.0366961901680872 0.029193446465985 0.0167645684401536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.921279371842333 0.885737000781515 2.02461594780982 5.25709647113257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0505713324542125 0.0392947877218763 0.0348218375847252 0.0197128216640984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.922605107006911 0.887924462184764 2.02372109229759 5.26618042807195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0635808805082045 0.0520499553943517 0.0586765805197264 0.0443067134162053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.925366643078137 0.890170511162299 2.03469154744441 5.27530622575735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0732480409371375 0.0624691163964428 0.0737849429083186 0.0635483455073864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.919042766146688 0.885436606555857 2.01948151041232 5.25560013615541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0499951118449999 0.0389749707186631 0.0341680874931208 0.0221876661313753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.920176836322897 0.886296526261648 2.01932894058525 5.2589725152801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0565505586838039 0.0445275158295593 0.0473320918977619 0.0315804297094403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.922744530138823 0.887994828351752 2.02393916730309 5.2651092607835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.066132032592872 0.0529340079026157 0.0654488871883161 0.0505512382341249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.922808044510605 0.894093715675636 1.98781292560981 5.28440681387452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0994266657697118 0.086467118436496 0.118912403508708 0.116953329359579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.927907451322813 0.899624684285648 1.94775144576954 5.29647284232635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136455912699101 0.11943660807728 0.189324890460451 0.18370077915375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.677907522411519 0.664051688282891 0.720653754304358 2.50236278927976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310132805316749 0.0224645222539868 0.0281525398815551 0.020862869344082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.680029307218487 0.664758521292919 0.725390102713748 2.50464073953973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0319809953676886 0.0239937823746855 0.0300890259715074 0.0237575298859871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.681049599342334 0.665502383257163 0.728337148035733 2.50796233088771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0332092963294201 0.0245158656688414 0.0325608855508267 0.0244066909562074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.682560319491137 0.666594777593882 0.731885569288876 2.51273839805978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0349658158007388 0.0260891724437981 0.0357966237242262 0.0266276502661281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.68854380882986 0.672606301731103 0.738093492062538 2.5344781715413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0446934979773525 0.0335746432060951 0.0492753171267578 0.0369893815576423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.695187254447559 0.67904712649714 0.744988490296862 2.56069518741135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0560078897620575 0.0418764076899809 0.0663273028435977 0.0449366756589264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.681575849388952 0.6665337525202 0.725031101410171 2.51274533117472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0355159668600816 0.0253790175437917 0.0376799811864768 0.0257402818666146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.684871767750317 0.668820810145564 0.727987199915396 2.52064055942778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0400432085458511 0.0295295888083331 0.0459813415808652 0.0322392336457826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.689068477233203 0.672900397409764 0.73347086632958 2.53499165833136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0467521156349464 0.0346855131825725 0.0545521037311643 0.0372037159694837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.710543526591192 0.691481362384903 0.743816430051631 2.60615087153906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0827701479094018 0.0613829194239321 0.108607872623354 0.0657334325723979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.728674146217844 0.708420271332965 0.743121436236476 2.67228340955563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.12030834145664 0.0869543941311223 0.167698194640929 0.0896754559421001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04440390948416 0.996314575819114 4.12823787086028 8.32595019503106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0813826306378795 0.045780806431103 0.0471976666224738 0.0243281937876989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04698042393258 0.99673794839727 4.13299322882585 8.32368166259723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0829619013425104 0.0471559859492184 0.05469971450618 0.0308548260756928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04810684805869 0.996888040501697 4.13587764981012 8.32525825322289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0849229558684086 0.0467362900591617 0.0635203358489286 0.0259444616333779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04971822424629 0.99777037397498 4.13077452319967 8.32731649238898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0881835780649923 0.0489198629455601 0.0730600587832854 0.0317820631716155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05846715485348 1.00164522112953 4.11261372584475 8.32377563715561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0992858570717455 0.0555533113802143 0.107163957661151 0.0500811092597457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.06646971385111 1.00512629630983 4.10193211122059 8.31322708592411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.108783543323329 0.0627385079144013 0.135648452221046 0.0653740199427133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.04728818902646 0.996395233245212 4.11291769615199 8.30263134465665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0856942161994102 0.0479302579188108 0.0602947507721231 0.0294205871276019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05155014945143 0.998560063499856 4.11709771242691 8.31338780274992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0903572380113572 0.0502729602106829 0.0755896459758485 0.0332835927590293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.05926739189805 1.0021306440431 4.11992213834597 8.30890037943762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0980283165091449 0.0581167262558438 0.0935912406561253 0.062074134620097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.08295573051927 1.01323923313767 4.03623712333237 8.27255324528879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.131631401739322 0.0807817368809886 0.175528607816016 0.113905292609549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.11134698447659 1.02462117171235 3.94660560019431 8.24436099514925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165216315986153 0.107271882129989 0.239673333318374 0.173181054154094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.441824227611234 0.416222093554929 0.563403164006524 1.27967025852745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0420665622577109 0.0254605773693839 0.0216709063277604 0.0151540071193468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.442872431163009 0.416379088492285 0.563787021863107 1.27980427041132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0427408593750842 0.0262290562571726 0.0226168061285813 0.0158152622677439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.444752104045893 0.416822400958637 0.567309073130694 1.28065298252483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0439845851841167 0.0270921111199327 0.024686694470171 0.0167701677251772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.448181229582517 0.41780288542063 0.572236094604724 1.28273099371455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0455087699997605 0.02869291598355 0.0263620444620841 0.0177674423760372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.459428478475203 0.421609290876499 0.584956731938089 1.29049910619142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0545859060817048 0.0369759919745828 0.0379261879495712 0.0249940943154397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.47128497396412 0.425311485568077 0.598753327761339 1.29816930175768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0648143800145434 0.0454818575869908 0.0509415842911091 0.0320485311378861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.446289464536197 0.41747341353252 0.566851256057443 1.28201012664194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045392291154641 0.0284631452152086 0.0262385138076117 0.0180830831300702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.451419030261232 0.419095511256922 0.573451367054891 1.28556795683354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0485874810308266 0.0313304373658638 0.0306633008205991 0.0202156607730748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.460714964026804 0.421748357345972 0.58742684873788 1.29039487135752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0554849310030755 0.037465494370346 0.0393311064218369 0.0258033175187627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.49727067554993 0.432254943292941 0.632629289522044 1.31113316043794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0847989260135873 0.0615507772780383 0.0738966802905256 0.0453914707777313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.530468364707753 0.441711310348687 0.6630859762371 1.32948685930983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115174535314407 0.0884149176090761 0.107193715816144 0.0752166789204681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.440559266343453 0.43268402190635 0.315243175103462 1.07180830575549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0320687628182425 0.0128981315513246 0.0299489602351012 0.00927149387728175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.441437193436098 0.433354630266566 0.315578168293229 1.07375004384378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0328309957923083 0.0133138879241956 0.0309831448968741 0.00955252656159003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.441942120899822 0.433724221092875 0.316189422688219 1.07445935582784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0330547148964252 0.0137754787588947 0.0310069968234363 0.00989404523602189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.442973193802226 0.434863863459771 0.31708901015629 1.07725341765371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0343091640150247 0.0148888613756285 0.0319694982277382 0.0107723047920486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.445782362392782 0.438357653792071 0.318336204143253 1.08490670233458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0398690721688074 0.0200833226206306 0.0363776548991282 0.0136723446166548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.449864061546016 0.442268628161554 0.321387939459452 1.09353426119544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0457091130155214 0.0258829012060376 0.0393734283519131 0.016874324097737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.442637520858927 0.434239071684221 0.316411598466739 1.07607071248031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.033950940562413 0.0143354004037232 0.0319540064335602 0.0101859383307125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.444170265559984 0.435920692854124 0.317411893271142 1.07992765389924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0354927760890388 0.0159750346668294 0.0327081965369819 0.0109115145548106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.44733317235384 0.439319138042555 0.319150706032819 1.08723374694326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0401077068739213 0.0199061122071654 0.0357845556362535 0.0127753345497497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.45946922413531 0.452556411092571 0.323752678017878 1.11827836943596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.060824527327519 0.039138511649158 0.0491513480918673 0.0238028892597692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.470709704364374 0.464128804207275 0.325342887571163 1.1450363626053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0835532133078005 0.0582648786461087 0.0688699397468026 0.0353014459056223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804416461842437 0.832278556488072 0.649905134506835 3.14218494203843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616314163830218 0.617589168990554 0.562317427313489 1.90608244477813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804411289707818 0.83228514921168 0.64989712357674 3.14222328973425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616349988123369 0.617687148262064 0.562328342592768 1.90654650947139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804406535116015 0.832292397991996 0.649888857455362 3.14226581653084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616382381680825 0.617656320285879 0.562338759091777 1.90642859817749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804192950686741 0.83210267119993 0.649621088635013 3.14124796369176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616273783683647 0.617761494503178 0.562126425640938 1.90693001502565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804954663651692 0.832899671792605 0.650191754926521 3.14624802974502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.617283260645534 0.618000970192623 0.565512586237657 1.90826264523812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.805527540306588 0.833316019053677 0.651897057946008 3.14917543032971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.617486874608369 0.618202932279971 0.565773785418227 1.9091689154604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804152936902911 0.832006427279375 0.650089233486615 3.13964518365258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616384446242679 0.617617695487706 0.562335908094888 1.90623726551994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804445078002339 0.832290578070954 0.650530836763063 3.1412663181962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.61641455378534 0.617633988083445 0.562353024776487 1.9063293717305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804515311495554 0.832318788454021 0.651239236546837 3.14009694061261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.616449118990938 0.61780479584016 0.562437696651866 1.90722239943282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.804410873772644 0.832393675106232 0.650647732333867 3.14006451145011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.618046660288187 0.619185798499703 0.565584732952915 1.91428840744133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.80537012372166 0.834244874646355 0.651526054987991 3.15131101328212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.620095261737077 0.622156038815686 0.568624230885888 1.92977624609715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.761881059856339 0.684102083165671 1.03832431601768 2.76298900965607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496501175264656 0.386016518274808 1.23677779268798 0.982375935944247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762153944290267 0.684367503383001 1.0380393632254 2.76412499954374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496503918582762 0.386019124110355 1.2367801974121 0.982387796234941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762879478032034 0.685087051625967 1.03763465850385 2.76767416749383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496593704779518 0.386070654436336 1.23673701218549 0.982504684930612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.76288453056812 0.685083361992883 1.03771059259571 2.76764769088049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496601446838082 0.386076976541168 1.23674797905816 0.982550445587493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.761982648979569 0.684289013961382 1.03867815422214 2.76359109661935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496611982042577 0.386120382994424 1.23680434923894 0.982938375909406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762532349921264 0.684957035687986 1.038629568329 2.76639962922464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496731578461683 0.38612868282658 1.23695898821443 0.983470621248335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762143492954387 0.68434155542754 1.03807219234395 2.76393616570593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496583667641463 0.38607261943577 1.23672475163624 0.982556879598474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762137225308767 0.684319333553816 1.03818220438083 2.76373963912559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496608576475749 0.385989955672154 1.23666101206538 0.982489990677421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762485005019209 0.685493197275548 1.03738128801757 2.76893286843636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496291066904644 0.38634280542546 1.23565487399724 0.983591163833753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.763095824567278 0.686309078024355 1.04071744384113 2.77054420171197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.49616284650039 0.386464689450952 1.23650586369121 0.987088004760923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.762298646460631 0.685724240103223 1.05581746756705 2.76299906519941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.496323178996434 0.387013973456064 1.23830774377723 0.994373300191922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787751111296947 0.851736154322054 0.704045187700082 3.24352967323815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685261221729625 0.681246235042631 0.725535607872453 2.17556528178393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787744680911544 0.851733741325757 0.704041972154572 3.24351709673129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685311236398615 0.681160485638874 0.725483954557135 2.17519718261132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787935125026821 0.851927762890727 0.704377951271731 3.24460885230361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685340575258967 0.681165395373416 0.725490378359416 2.17522291562087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787702325145797 0.851701751743305 0.704537543789584 3.24336123347171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.68535180584079 0.681249571542749 0.725548464494921 2.17540359715374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787408664160005 0.851720789861932 0.70457212403672 3.24339064863163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.684663557265055 0.681755713026506 0.722870412918229 2.17676319126987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787287377763884 0.851599872331806 0.703960810371653 3.24266490679289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685092602902207 0.68197661521803 0.724011818436194 2.1783167698794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787733914444653 0.85170978308941 0.70457256217641 3.2434315275498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685328803232598 0.681223111423009 0.725497469559881 2.17552704804543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787762944231691 0.851727389994301 0.704617389067134 3.24356340121274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685281376779837 0.681167110982095 0.725481864998107 2.1752559084178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.787856075568784 0.851795719365432 0.704746943421003 3.24402605317176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.685622937501954 0.681434739929226 0.725656156848384 2.17598254541933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.789297889361795 0.853045890402871 0.705705580654022 3.25180786866283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.686769845059346 0.683463996823956 0.725840047376898 2.1856500227663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.790928183656756 0.854381069850352 0.707526620696889 3.25896013483997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.690046012184095 0.686435757970106 0.731085047702431 2.20210106122511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380897996505046 0.397256540622686 0.120725973840213 0.776778107901099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122808246062386 0.125337904990604 0.0290591691688404 0.0739128259861405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380916138605568 0.397250286736123 0.120718459547287 0.776780058164092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122785916431143 0.125151890763943 0.0290461842091702 0.0737208485328164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380920036089177 0.397250329877745 0.120718079933371 0.776780147128251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122785949249958 0.125159338110175 0.0290466621237301 0.0737268182817141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380925210916392 0.397250750862135 0.120710331554266 0.776777159359161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122974735250428 0.125165808263643 0.0291719539257747 0.0737329951844587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380902638842597 0.397261564223904 0.120587993835799 0.776731483117993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123084405663167 0.125201868431462 0.0292049383202598 0.0737808968099964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380661879400443 0.397283038452893 0.120224930358049 0.776548594648275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122884885971597 0.125388896150957 0.0291204483383083 0.0739783114860801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380909708639965 0.397270637045467 0.120703810078363 0.776822347165296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122804365428814 0.125186276799852 0.0290645298639824 0.0737461709318307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380896474207498 0.397293499575236 0.120666104620455 0.776856958664596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122778927497452 0.125261673806418 0.029079373784724 0.0738075973105059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.380833176645913 0.397342621879171 0.120514101867526 0.776891459473021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122886182852696 0.125362413211497 0.0291316952991431 0.073907804074227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.379703604386414 0.397334942758064 0.1188812129343 0.77577988718782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123924486229377 0.127224368836921 0.0295768762220667 0.0757818408239786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.378208771813051 0.397724022780418 0.115766504203569 0.775067258403436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.125272828290483 0.12881701744589 0.0302131159715963 0.0777872132282843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.760747217339375 0.765126950697321 0.546312844540639 3.06367780146803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214884861075206 0.207787159995808 0.151368721029535 0.250141245930471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.760742988255311 0.765121656721682 0.546304623402664 3.06365547610753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214881017291841 0.207801026812518 0.151367825114251 0.250161186004603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.76073818775939 0.765115010570355 0.546291107713905 3.0636209289267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214878933523453 0.207816425397769 0.151368169644576 0.250184729334939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.760727471374617 0.765097292119817 0.546246349243202 3.06351707151559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214880006891531 0.207855242164461 0.151372171569902 0.250244219311635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.758716930390951 0.763007633034671 0.546835290061965 3.05164388948716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214824040790753 0.208130951521868 0.151338542343183 0.250654521812956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.754451392017132 0.758602064017555 0.540906753789314 3.02071217945735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.215009187997794 0.208084584927144 0.151465000439103 0.250749062802378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.760760060377131 0.765121620101301 0.546281420747344 3.06361316739809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.214908502263732 0.207721397458004 0.151365117340523 0.250138481807633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.760770877946806 0.765097243691613 0.546174918012207 3.06339463131969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.21493941174744 0.207795351021332 0.151362741634712 0.25022389346999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.75944821976367 0.763657332941244 0.545033044624109 3.05375537044676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.215076413306837 0.207766760153795 0.15140423145131 0.250434777333602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.759304078424256 0.762443708818079 0.538823677987249 3.04247530055039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.216374531569029 0.208633450484581 0.152019269207068 0.253141793267567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.76053197415389 0.761881506519908 0.529159528645638 3.03268770312874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.218889261643934 0.210443275036111 0.153393624131206 0.258284095636628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35944813807976 1.34209439645999 2.54975850943956 10.4265466245479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.938122148026953 0.938552609392154 2.05164111580275 5.9330094319619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35942091651779 1.3420883630544 2.54979079348559 10.4264834114542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.937141642109756 0.938790901707674 2.05191389311338 5.93411015580091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35935900821165 1.34216619144446 2.55032686738299 10.4282604997412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.937349274395884 0.939931326201255 2.05443532379543 5.94114953690935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35948629667125 1.34231639099007 2.55276232304297 10.4317663376609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.937796165758541 0.939804037423482 2.05432226513349 5.94129337935029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35973074977989 1.3421280651632 2.5552453619178 10.4308352455504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.940215015861606 0.940060892233638 2.05583606788184 5.94658743857406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.36178615376015 1.34284226002946 2.57155780029554 10.4411100176792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.942434320686481 0.9417425445694 2.07056758881837 5.96017729918207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35918616712769 1.3417003547957 2.54884551529216 10.4209397930468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.937685792299913 0.938516984349597 2.05074513393388 5.93089728712978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35943889084636 1.34193908686162 2.54952557818277 10.4241294514918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.938549442852565 0.938139870311232 2.05382267835378 5.93048531587976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35917707563159 1.34249846941918 2.54984916305178 10.4307330157549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.936870721401394 0.939545980736815 2.05542825590135 5.94096895738274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35969684898288 1.34292626238406 2.55716687131636 10.4359589715061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.943744884785945 0.940785885133237 2.0820782378593 5.95646478280762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.35991563817125 1.34321831450118 2.56832438467485 10.4314832548756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.946401157975379 0.946492062502046 2.07362915252803 6.00739846609897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140601840280829 0.149886617788646 0.0195627187207597 0.115280149744477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0540945294305552 0.0490921643978934 0.00619744243397345 0.0115474434679105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140589773190415 0.149886146657953 0.0195632680217159 0.11527909412348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0540896067198288 0.0490968595419868 0.00619630893705751 0.0115504757321655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140577950444461 0.149886117152422 0.0195633984501908 0.115278211112641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0539902093383921 0.0490968192421615 0.00615786490142784 0.0115522374541506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140554662596319 0.149887369793845 0.0195623975727 0.115276947280944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0534844162426009 0.0490993418367747 0.00588914777742553 0.0115567761564601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.1404709015116 0.149914072910846 0.0195420638267335 0.115281650119958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0529459543633589 0.0496886028211595 0.00544175916017683 0.0119952998823433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140874413817367 0.150447997285068 0.0195508758009999 0.115903996228898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0537838852165615 0.0499168758665163 0.00574630462944921 0.0120662722506995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.14059603800605 0.149902760157686 0.019574863523276 0.115282329555185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0537364503573763 0.0491933999052787 0.00600868546958464 0.0115975583742715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.140591838148765 0.149925422700356 0.0195825075227864 0.115287881350427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0531924758947152 0.0492108488304157 0.00555904277138436 0.0116064039954302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.141556896833674 0.150957433371046 0.0197562879945168 0.116554555432852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0538066649437616 0.0492695647585263 0.00601899476118167 0.0116334528767071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.141065963564985 0.150925835131582 0.0195065099171972 0.116014152231873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0548920216112587 0.0488931268939526 0.0062870976440321 0.0112237428343157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.141679079879599 0.15229055074038 0.019156660841481 0.117031990739726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0546589841362994 0.0509230201358101 0.00576957458094885 0.0121497949949856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17637845773893 1.15962444711115 1.98436678838615 7.42052873709449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.874127718303531 0.844450664205531 1.84918453526164 4.27014949682889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17638483025903 1.15962823524023 1.98434351262557 7.4205497754422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.874424501374547 0.843575015238498 1.84868175734123 4.26396675006928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17643530365702 1.15967596329011 1.98407908896455 7.42089393940728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.874208983511554 0.844075337718103 1.84928947372701 4.2658693321467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17644816388358 1.1596847700442 1.98405087637647 7.42092261939513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.874088674333904 0.844039484678996 1.84972869952994 4.26634536602749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17645699220793 1.15968854350102 1.98447792184195 7.42133584717037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.875761446719663 0.844181784729243 1.8498078242655 4.26821982125321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17527274715428 1.1589316701484 1.984250472538 7.40980452255618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.875624748639622 0.844918037466572 1.84817530578202 4.27429476986265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17649309818378 1.1597601443989 1.98410239059545 7.42162011883666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.874163500613319 0.843930698252025 1.84927440293699 4.26557883162995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17616209134248 1.16084222754321 1.98405792401727 7.43276178303843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.874055371898147 0.844959570805061 1.84948980542665 4.27528925983335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1761929664656 1.16089319615149 1.98463135659998 7.43292336954991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.873784682438447 0.845599343767064 1.85327209950967 4.27770347620022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17573301792783 1.16118048432045 1.98961576522755 7.4308669283992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.874283738880303 0.849995745047358 1.85490137500911 4.32028131476743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.17667129890974 1.16026264925816 1.99865689907403 7.41333035810276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.879312427119044 0.851808258656379 1.86161406803599 4.33568350672364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22422830022985 1.24608193675553 1.12615313013005 8.35882617592696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.811228522538122 0.839064067860447 1.39185204109247 4.12301126468813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22421914898162 1.24607456738774 1.12613979565213 8.35869439471878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.811235878327932 0.838902956641374 1.39186540361033 4.12205948283705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22420976184652 1.24606692512453 1.12613312307996 8.35855193092572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.81117038465024 0.839062371407335 1.39154146298552 4.12304143815351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22372462902365 1.24591488169524 1.12600318642224 8.35583972484915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.811481655321097 0.839270838756995 1.39306840478523 4.12447299498694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22332554800936 1.24548598314897 1.12705342856896 8.35083451881102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.812121055844627 0.839310152586534 1.39598730049257 4.1237844544101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22362193939303 1.24513439443065 1.12752269305419 8.34488031302674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.812913042447147 0.83998365017032 1.39621251090014 4.12598085229085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22378915452139 1.24593345545988 1.12599116675195 8.35626753693913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.810782850522669 0.838997541580606 1.39153475020296 4.12219424040255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2238113868104 1.24592146687926 1.12602845676629 8.35601694718739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.811105631859184 0.839185433407671 1.39119856403363 4.12437146077833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.2246360042096 1.24597515177989 1.12580638703797 8.35529773598513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.811545479872644 0.83978877753466 1.39126115744373 4.12733447418547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22513174002799 1.24529451187877 1.12887681190803 8.34487481942798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.814896106526564 0.842751082965628 1.3972110003011 4.15212724321781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.22590787542132 1.2462147978838 1.1361402915211 8.34194184003792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.820605977003673 0.849330335985005 1.4078970739978 4.20891099324685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148235648468443 0.149676399798622 0.0115193050813187 0.107643916677004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0672074964039848 0.0655160808026195 0.0062099043915477 0.0209330814674242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.1482310623143 0.149673603684191 0.0115182523336256 0.107641775302117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0672233778936946 0.0655092687847326 0.00618844600090458 0.0209155853734863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148226620686538 0.149670917497087 0.011517027508881 0.107639631329349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0672028736714181 0.0654990883266129 0.00620903957102821 0.0209128953054871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148313352590476 0.149761789824727 0.0115138739043606 0.107749051150904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0672402821555674 0.0654631641234218 0.00624015733189704 0.0208928687905605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148193691072282 0.14965956191005 0.0114824321323492 0.107622854605065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0671596805058085 0.0654623279599178 0.00622519385822477 0.0208717852152806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148162046179284 0.149657829281591 0.0114521619075952 0.10762074088402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0672809243924869 0.0653451927399216 0.0061829599545862 0.0207972268133746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148188069800087 0.149630664091994 0.0115297949765114 0.107590319505471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0673040761872193 0.0654400788676004 0.00624829982398119 0.0208829085221597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148120161208836 0.149567055457406 0.0115380436150815 0.107510714632059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0673799183931578 0.0653840853673941 0.00626212507899357 0.020847642744068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148305437866597 0.149750601834331 0.0115414494059218 0.107730517367141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.067542615920393 0.0651300389642126 0.00627180704452059 0.020691820655224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.148704256186444 0.150146223764312 0.0115103607763839 0.108103438166628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0678930086341529 0.0653712973177189 0.00633108691363664 0.0208302818378494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.14843106594783 0.149953443223647 0.0113577531491484 0.107604138738113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0682750707941732 0.0656517612183381 0.00636698234049506 0.0210178202494812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.871851565582115 0.902170426572318 0.666054768734902 4.12557966767634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136487108275918 0.160108043358568 0.0821635036358972 0.150173458776031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.871995248948664 0.902303588254644 0.666040485620592 4.12654439623955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1365463652005 0.159991150778691 0.0822692293370305 0.150056157757947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872015086112993 0.902308241239136 0.665998821107177 4.12656080661559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136538410318821 0.15996145305307 0.0822665500884957 0.149939547387545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872254721112934 0.902535793508156 0.665922416730578 4.12813823909223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136541050534826 0.159886882773944 0.0822737034063982 0.149719900118291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.87215214373797 0.902461127092171 0.6649014898037 4.12702607277302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136602320616416 0.159990619148041 0.0821473344963096 0.149950322880527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872105156664774 0.902508090345755 0.662944405828611 4.1264633984802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136954162489349 0.1605102420413 0.0824263927221501 0.150761262719787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.872330635044315 0.902679439777016 0.665824485266871 4.12893370946988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136518909683253 0.159955927546567 0.0821733089320143 0.149926790519908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.871948548440354 0.902360740510573 0.665693753890893 4.12657408002886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136686174598678 0.160198309426376 0.0823177293462946 0.150307093643065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.871846783531471 0.902414157780657 0.664833436103875 4.12660089983144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.136702359813382 0.160020408893217 0.0822118990995064 0.150089950617715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.869338910807409 0.901251654072134 0.655429976719525 4.11341897517023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.138353763889922 0.161660462104593 0.0830930991929474 0.152823166148089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.865452397727998 0.899720418473946 0.636585058016047 4.09208605509262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.141057149410394 0.16498110987611 0.0844189300480507 0.158203233239286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.836457910111651 0.759494462062246 1.03397753061323 3.48435613721551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163347393785411 0.136247643710095 0.226655425658666 0.128293212720501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.836461102613308 0.759495779142357 1.03397137306646 3.48438740545727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163418473365165 0.136173746236847 0.226691475681925 0.128196067748325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.836459222557203 0.759496193441717 1.03394491850873 3.48440695743361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163351279355747 0.136113655967457 0.226667818856288 0.128164552587754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.836440627778887 0.759494067939107 1.03383103473249 3.48440970895118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163485587034423 0.136168389002516 0.226737255076641 0.128229325748571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.836285006754526 0.759543392915558 1.03262311369912 3.48460938430447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163593261311867 0.13634041585292 0.226907302721511 0.128534400219711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.83618835588985 0.759890571036123 1.02981289298952 3.48597423958894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163795232612816 0.136544576897005 0.22726464583867 0.129015909166992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.836432174745136 0.75947408301347 1.03392425974829 3.48419736868615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163367283852526 0.136208621422374 0.226638360998523 0.128268960962398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.836230496464062 0.759317200880351 1.03378496984264 3.48327498014885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163325016964595 0.136105077025546 0.226573782784166 0.128232933206989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.835972856146181 0.759325117652334 1.03251268617055 3.48287625526656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.163501422485281 0.136052276228196 0.226707737585017 0.128266176072479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.832326744787106 0.758786553308831 1.01838619023898 3.47461008336488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.164291814312923 0.135928166835833 0.227752700123849 0.129115145054832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.82529046092547 0.757693020939432 0.990281981098218 3.45793736593703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.165755201023773 0.136496258819193 0.2300950678647 0.131358584406808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.98868358072838 1.0191690614622 2.27192657118629 6.98216281773712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103589312100669 0.148532222470382 0.0527697038286481 0.246161078218559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.988678629357887 1.019165953472 2.27191849037982 6.98213501721053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103576636104704 0.148514424183914 0.0527737381383876 0.246150430322418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.988694845418588 1.01918817421247 2.27182330858136 6.9822408208647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103549986182638 0.148590960511574 0.0527714881101711 0.246296926810137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.988659478259854 1.01917205622276 2.27161217344023 6.98198627408241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103543648847351 0.148393760974459 0.0527878119993827 0.246045793565598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987704519045439 1.0185074903184 2.26945134238706 6.97522059606033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103749299138866 0.148650740454038 0.0529506533585021 0.246644152858177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.987414173153748 1.01872386248316 2.26586677055027 6.97531875611923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104143638812027 0.149218081204951 0.0531962940553968 0.247764408979299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.98853135120814 1.01902559387784 2.27172098533991 6.98092792815346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103547980003547 0.148600407869035 0.0527489956655188 0.246317546331507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.988350364674851 1.01892191724722 2.27089663194567 6.97953032908857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103539709896184 0.148583112677657 0.0527420116911264 0.246412263287421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.98802304951112 1.01878081246969 2.26806775678146 6.97661627009142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.103610941617945 0.14900963556909 0.0527777387038797 0.247224420768671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.984345158249912 1.01744074199563 2.23968319338422 6.94685375561123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.104658216923589 0.151092116789336 0.0533305000095801 0.252100321388861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.976843482743155 1.0142304342674 2.18424440446086 6.88161313526317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.106705135555258 0.153933806142105 0.0544592151541287 0.259850935212527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974619799044879 1.04986269826551 0.717506267534761 5.45221998804269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114533565393224 0.177918896181364 0.0509631795180057 0.169500455859126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.97478758126873 1.05000967965194 0.71736692705464 5.45330701529882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114557931130496 0.177762280752383 0.0509777951540454 0.169056965987836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.975057035178494 1.05028555030465 0.717161159589275 5.45543754019071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.1145784344087 0.177654268160265 0.0510798143903212 0.168849370069009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974888791499869 1.05014855881171 0.717039594946389 5.45424964563151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114584138653897 0.177740280078831 0.0510893919452201 0.168946150237164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974066490591014 1.04965997592926 0.716032512926653 5.4497268734443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114326598987271 0.178064625496166 0.0505059238684969 0.169589713700712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.97299936601042 1.0492419913012 0.713697782781604 5.4450943449895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115084688000034 0.178381666200719 0.0510394263775188 0.170500516549999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974408927555736 1.04960537547407 0.717319320456861 5.45013237371371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114515475831923 0.177806542996967 0.0509360311503885 0.169046668193378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.974323335353773 1.04955086226101 0.716809744866361 5.44962823768814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114380513809305 0.177777159008025 0.0507049047782818 0.169165204887049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.973921367156364 1.04933354191104 0.715524835554464 5.44740804914013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.114536403066728 0.178044779023859 0.0507871407163729 0.169644894762699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.970870694775191 1.04937444454728 0.703709436183007 5.44083703378474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.115768020864844 0.180767598351643 0.0504319277867536 0.17396898104413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.963522699051474 1.04835394592895 0.681932136838532 5.41851277450669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118801665891224 0.185441549990935 0.0519407967923942 0.182373879448144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84952232982708 1.79656725942337 2.59501297681153 16.7647938534371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344273036746286 0.51647707480609 0.725968829851154 1.14640712844401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84956007742892 1.79659754336822 2.59483661493345 16.7651711330609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344281593955154 0.516452803223154 0.725911319674756 1.146358901168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84957210743268 1.79660952418082 2.59473131215101 16.7652441826676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344257881114465 0.516493301225696 0.725860749844922 1.14638977739209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84952829322041 1.79658319101924 2.59419511461445 16.7645085523666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344247318766687 0.516474466863646 0.725789337334241 1.14655997552444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84894434456978 1.79628405319531 2.59790332105124 16.7638878273986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344142504528571 0.516344945244004 0.725790218232392 1.14693055651972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84758019529064 1.7956220077768 2.59316131351427 16.7523572294137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.34406766297753 0.516306807473726 0.725826120828088 1.14825473126541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84925681820393 1.79635383671963 2.59473513364045 16.7610430344011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344346406793809 0.516496707813152 0.726072372828921 1.14663341339098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84941592792016 1.79658552055471 2.6035778449295 16.7720724249126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344333995548072 0.516414795719155 0.726132629272647 1.14663614119809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.84970661651833 1.79728506084789 2.6018728735215 16.7813744259109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344477349183067 0.516691832129368 0.727101930362798 1.15283484921866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8420874032442 1.79395917064552 2.57177390074052 16.7162486416038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.344522337371587 0.516740959741852 0.731665844463641 1.16103740124211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.82732411785996 1.78756341606659 2.50112152567599 16.581546846189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.345331804912218 0.517109273665319 0.738597504030675 1.17697180260135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557063135029045 0.599274790333656 0.265958110772546 1.80510352293669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0948839461132678 0.116724441279125 0.0222395742650711 0.068686614125677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557083009277179 0.599294016913227 0.265951737056923 1.80517246114801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0948418504263665 0.116639396816647 0.0222069152396237 0.0685366122134616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557056119519459 0.599268365024631 0.26597844750927 1.80507236503789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0948522077937351 0.116779139190732 0.022211637552643 0.0687499017051305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.55710207765982 0.599323157312147 0.265972974183141 1.80528753573171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0950398254966766 0.11672349467773 0.0224013089285187 0.0686997419214332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.556850948204855 0.599193158530493 0.265695965680112 1.80447878966102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0947362943537905 0.116870469302159 0.0220250043273181 0.0688522978995763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.556770845239222 0.599368643124454 0.265205596140812 1.80487244131965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0949764175545286 0.117493275153313 0.0220216849542671 0.0695964914773105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557138493430283 0.599356713581695 0.266002634949214 1.80547467688295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.094973195546753 0.116652713689237 0.0223058472180137 0.0686275261789116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557254579922858 0.599500183228457 0.266044935504102 1.80614781425052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0948211121346323 0.116816052478848 0.0221583284972386 0.0687693252247091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.557075506680497 0.599441314924073 0.265691432684888 1.80562322818881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0951401029637989 0.116780941208031 0.0223471321589543 0.0686664530396657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.556262361589697 0.599994731729114 0.262304411568833 1.80541448889946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0966118431995941 0.119004138856617 0.022550387629697 0.0707513953888918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.554048936812884 0.600600575300323 0.255264491527616 1.80262423509587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.099732929100135 0.123163094564078 0.0235009524137263 0.0753768144886684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304865956013382 0.302285396372473 0.14575459409103 0.520684810349801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.027642387611556 0.0399819769472013 0.00397905510970562 0.0168307782275457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.30497803274415 0.302395868788754 0.145763793831051 0.52096203183207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0276777173246799 0.0397634294813256 0.00399145364081122 0.0165063729042143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.305026465484692 0.302451798910846 0.145745647711314 0.521082956240027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0276619372021365 0.0398911151772099 0.00399175647287299 0.0165736822085401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.305075243075681 0.302511612588412 0.145769663602152 0.521262129892161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0276070093652935 0.0399598655938844 0.00398139285538962 0.0166260594212126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304488668585027 0.302041755731434 0.145540607065294 0.520009609043656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0278010474374112 0.0402083632341419 0.00399770468745303 0.0169596235724126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304403615673418 0.302177981266711 0.14510842673469 0.52014104674398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0280450455309348 0.039989922245349 0.0040185876013709 0.0164357342240695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.305085595888654 0.302479314175424 0.145768099323448 0.521169854875961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0277559071396172 0.0401836109533065 0.00400778453321442 0.0171168801470962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.30497244216104 0.302349560770829 0.145715420542342 0.520807683997566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0277995709054586 0.0399740341976478 0.00401314851399202 0.0169914801249364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304905602477924 0.302318662221186 0.145521233365552 0.520607388722642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0280033555953089 0.0401053068568703 0.00404596446521378 0.0170293254694755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304601592720372 0.302842277028838 0.143013032843476 0.520364026401234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0291771609696555 0.0404253981312436 0.00457530000227591 0.0168654339216231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.304490007066981 0.303769754285436 0.137929922526451 0.519396313003656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0308122220474508 0.0422900700562398 0.00450763681049358 0.0179080551778583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.27006016845312 0.280675702328353 0.17120011788789 0.493627208313976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161036578999274 0.0345021318646806 0.00324548895774415 0.0170836332833413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270059836802589 0.280695368539783 0.171189929539078 0.493663268677935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0159992725088578 0.0346058186453472 0.00319021698502666 0.0171682692735596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270077921848187 0.280736272567848 0.171168243902436 0.493734299070482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160024168564492 0.0344956504491506 0.00318989190233454 0.017049438649708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269980377018016 0.280688838255866 0.171176454317028 0.493522376969235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0159151396586179 0.0346264221146916 0.00313741577661863 0.0171433402825818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270312923250974 0.281175086339829 0.170997683718892 0.494524099565843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161223387144374 0.0348962790038669 0.00314250245567513 0.0169716100877802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270519942380295 0.281425135347552 0.170478620968778 0.494795279959236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0166798756650456 0.0356472693332848 0.00323288358199428 0.017505172253755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.269826455920779 0.280507581936871 0.17111764100824 0.49315305230708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160054350526679 0.0344770973885134 0.00319062702965677 0.0168386021403886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.27002611062484 0.280788954346104 0.171166301743945 0.493812337323469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0160625263868504 0.0338122009712802 0.00319473240106391 0.015699057301525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.2696062221108 0.280488918115593 0.170686187440336 0.492701968127427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0161782068555148 0.0346538065221493 0.00319840233555519 0.0165531774394394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.270961554511356 0.28177262975568 0.169394767748015 0.49564905319182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.017658840363301 0.0374571576488393 0.00326835738188247 0.0185102967198169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.272908525308654 0.282696280054716 0.163843864855786 0.49431853301271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0202951980786549 0.0404783059907771 0.00344277543354522 0.0197730774988229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81558378904518 1.71355339147319 3.54631643273718 16.0274338296134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503319924528934 0.483747163913376 1.34544806120538 1.28333964540911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81576247798059 1.71379704671633 3.54585176023771 16.0304855573377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503291404772169 0.483741244970288 1.34546347674667 1.28335841120613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81569264251745 1.71373637783755 3.54558321748121 16.0295661207192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503269300669607 0.483686590247827 1.34545594882495 1.28319492021039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81542466516926 1.7134578314456 3.54559686101767 16.0265054084715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503179616747205 0.483763563903212 1.34529600164168 1.28359561665595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81352726356529 1.71212297464988 3.53793504533421 16.0032878632825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503120925083049 0.484197902685562 1.34546382152702 1.2874942682033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.81249509277503 1.71153216657329 3.5335522319762 15.9934169004159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503397542524252 0.483832676416901 1.34563148418331 1.28575879572317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8152548421738 1.71328671742699 3.54634167080265 16.0236765474219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503256954252763 0.483587737165999 1.34537453879531 1.28292901547796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.8143847996843 1.71249422225208 3.54609707372045 16.0127750579254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503312873267937 0.483628596418393 1.34538151720439 1.28342464688155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.813569481629 1.71186184527877 3.53607988400944 15.9992488575908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503367453415038 0.48405517563308 1.34568948457616 1.28720330279171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.80810530011645 1.70947890503157 3.51190383281587 15.9539345496725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.503441069423295 0.48448862055404 1.34736164761818 1.29555412413344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.79902212422517 1.70673475779309 3.43514794118482 15.8624370061591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.504550213719489 0.485774035992642 1.35034802214652 1.31304572295608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0870615288476475 0.0874382019903653 0.0214470711778529 0.053704730090886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0190191076952992 0.0237172495805091 0.00474763379142457 0.00872642514534838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.087060236031612 0.0874371979237887 0.021447751839643 0.0537060243900538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0189592101842411 0.023616154516621 0.00472755669555588 0.00868759342216405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0870660637868213 0.0874436786014405 0.0214479535415967 0.0537098179746607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0188440585825671 0.0236597447787836 0.00466937421106682 0.00869803339190414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.087004330622976 0.0873782960091222 0.021426061814183 0.0536373278861649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0190931050264418 0.0235322673254797 0.00477507094740667 0.00861025439720347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0876702679786207 0.0880740563767273 0.0215076704874157 0.0541066421564634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0192568025705744 0.023815864130524 0.00469333445946216 0.00852775108374913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0879335665054853 0.0884003443104816 0.0214805111558964 0.0541569825789242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0196452180292116 0.0246405490091237 0.00462352212331504 0.00870505421103485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.087282970782692 0.0876374119310543 0.0215236998934981 0.0538857321338775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0188533762622841 0.023816148842347 0.00466059862388163 0.00875487754638032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0873444594718838 0.0877045923139515 0.0215308090309563 0.0538934578274427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0189051545772634 0.023938678281601 0.00461813067609605 0.00875140814288381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0876918030772528 0.0881133653335763 0.0215622903461902 0.0540749326386371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.019201020496168 0.0244721744133408 0.00460570761736517 0.00878953840797699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0890738790746588 0.0896479409231835 0.0212799887325975 0.054176846232096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0212781794082841 0.0271133088490855 0.00469601339819057 0.00899350428845939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.0914811712001729 0.0920770081604687 0.020853490424499 0.0549148545185191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0238725340414513 0.0294821994242992 0.0049096206119345 0.00906683644667338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71902183296942 1.72810996121953 0.977821250142804 12.929881484603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0136232526336072 0.0661648170280001 0.00433153656743032 0.0641464532100946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7189080690239 1.72800632989969 0.978112391808895 12.9286059802985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0136561996003944 0.0662982471791114 0.00433112107224255 0.0643167009989415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7189058426688 1.72804154038707 0.978063039979095 12.9287574413344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0137530901557573 0.0666921648871067 0.00433536014869471 0.0650846663807731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71869316005506 1.72796545236155 0.978131041745415 12.9265497910958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.014202899304178 0.0666821810377398 0.0044243566833617 0.0647791906214003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71758022444226 1.72778064743864 0.978176151284934 12.9172012593929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.016925296423284 0.0679085907335367 0.00469301330069915 0.064404759790638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71624944602997 1.72773513166435 0.976365575630961 12.9073060066718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0202013494673494 0.0683262625722818 0.00507587728489414 0.061713459480994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71785250483481 1.72696510041912 0.97996884023233 12.9151155381137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0138572178490891 0.0663626814399901 0.00434427737183549 0.0642643199130476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71741083542822 1.72669999375519 0.980583251162193 12.9101264785881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0146168283267139 0.0665466655832737 0.00440728483247235 0.0641602116501804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.71743515282071 1.72737304985783 0.978662993653405 12.9124814346402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0170538355108795 0.0677325837358455 0.00473767989558432 0.0642860522879099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.7093880897227 1.7237143609724 0.974116497055622 12.8375506935814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0286940789181378 0.0725853429592752 0.00687602244895713 0.0614156975054196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.69526654050299 1.71662672420556 0.959881375146007 12.7153123898454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0421650910652028 0.0803343264905864 0.0111159744824384 0.0597529684694752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.0273921302772 3.05355004394838 4.21244583755694 41.7381851894617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0763329092381163 0.11004189487651 0.0601002482681947 0.0812917807832012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02737522317471 3.05353059855328 4.21240545679043 41.7377243493214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0764979875182835 0.110061677253488 0.0603894612471423 0.0813125166306679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02734131131733 3.05351567058522 4.21201273209784 41.7370871657878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0767736044568882 0.110011646697576 0.0609815986813709 0.0812510130550215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.0266972857687 3.05299128965223 4.2118623344577 41.7244201410784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0770566164305288 0.110051672112103 0.0613818368866009 0.0813336594437234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02543524416046 3.05297454445105 4.20616092258635 41.7209316841897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0779256895766161 0.110225243775038 0.0622540988939391 0.0816445597719407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02088597455213 3.05102285099784 4.19430681273485 41.6665776362114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0783950096414519 0.110693043338408 0.0606970398696085 0.0825845550628979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02710599591427 3.05337345218185 4.21239033140571 41.7339238348298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0767856364684244 0.110259374315573 0.0610295628427938 0.0815738254266048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.02613900850801 3.05274823697449 4.21284158982382 41.7195757317405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0770260402512907 0.110368089808949 0.0611290409414362 0.0817310723738405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.0251791774767 3.05309712306632 4.209541989442 41.727204429564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0776492001312078 0.110489162997485 0.0609218248949689 0.0820123040282702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.00529145931177 3.0476959998697 4.17301941531793 41.5812281660053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0846664634466401 0.11420955173917 0.0661364954424773 0.0877343823434216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.96633441876832 3.03785942306529 4.10363785948682 41.3085830119005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0939321283775733 0.122464414992987 0.0731092883975886 0.0997960024944782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48837818892619 0.497716862660147 0.0124862126296925 1.00592474217131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0128984542025774 0.0167579183886091 0.00135585894296612 0.00148672981213269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488401150620765 0.497697288369085 0.0124395628749623 1.00582917206048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0130171264569849 0.0167361268439724 0.00138213379098068 0.00148821129238759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48842054346997 0.49767613303514 0.0123942435856575 1.00572879716264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0134427328108861 0.0167305579258146 0.00144332976516344 0.00149118420788959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488449054881624 0.497629531213409 0.0123074413259576 1.00551529563469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0150374466015556 0.0184049843585423 0.00165964554449254 0.00272168281446122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.48842276032838 0.497384686185655 0.0120098952200859 1.00448436813199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.02309622719566 0.020756035486479 0.0036599882975634 0.00397972178902703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488172904378278 0.497052600136378 0.0117906869447528 1.00319380305702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0336528559578206 0.0276490881621546 0.00764623192306096 0.00743514198744262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.488160830176537 0.497522657683021 0.0122894872031086 1.00528908392035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0147082539469616 0.017543055567759 0.00161888156541755 0.00158140144408392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487914494559989 0.497326197064061 0.0121053864386674 1.00465680353347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0163822545444333 0.0185021898788002 0.0020061292888643 0.00169715621097443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.487333915181639 0.496931320291439 0.011774921478917 1.00341990810294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0211576302681032 0.0221470750812632 0.0033578780336452 0.00271351959115204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.482303573328672 0.491898756452307 0.0135750411028645 0.986266865020128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0513906807937321 0.0487791956274896 0.0185047327176503 0.015709127579742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.476120898232408 0.484417171458698 0.0184671433005412 0.960112157881128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0777506004444784 0.0697389919016135 0.0418379485229577 0.0248302142148198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17530364413833 2.19804130213395 0.316395792611721 19.65256699648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.118720388575333 0.038110019383908 0.125885407624503 0.00801806334509985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17529023554669 2.19805034555843 0.316463455614802 19.6527381640718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119010739313852 0.0380758861788959 0.126047071130537 0.00800809731612908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17525883891095 2.19805381360896 0.316528249671051 19.6528159178236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119027883191046 0.038057912313311 0.125811201961496 0.00800220373071854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17514394253188 2.19804449777329 0.316651051479385 19.6526998314102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.11991784040839 0.0380607015023747 0.126293138530239 0.00800091340888122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17397774449397 2.19779063990026 0.317042988107178 19.6486174483587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120929107617454 0.0387511264542862 0.125256740892805 0.00816274965699914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17167940390821 2.19719750498228 0.317279859426111 19.6388881838712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.122635414362558 0.0403459390223882 0.124991170285171 0.00857243951443834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17521502876797 2.19753443664955 0.316570429350376 19.6439514438475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.119024127218271 0.0379091755533491 0.125829847957338 0.00798752857023431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.1749235046689 2.1969685487878 0.316708631726648 19.6343327348742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.120472820407396 0.0378713356536233 0.127162732286687 0.00799938104331156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17350120599028 2.1955466583184 0.316856077525381 19.6099890002721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.123315808943158 0.0385164430042522 0.130104486664909 0.00821615002315737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.16060703395296 2.1881751180313 0.31621999354343 19.4852757531509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.133179624377166 0.0462905275784424 0.141460941981672 0.0111983231453127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.13484887625167 2.17685516778195 0.315454573893951 19.2961183003968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.145092589883717 0.0584277746404494 0.157163673846673 0.0162093627339616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.4688728295552 3.52654554070015 5.01096488517249 55.3567269789529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267074068787112 0.12936218829546 0.0119494017257447 0.101548171184137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.4688012058988 3.52647000369357 5.01125656521769 55.354934593441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0266640172615662 0.129350033393662 0.0119416570221975 0.101384193552918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.4686721415225 3.52635193576786 5.01143669118757 55.3518329795964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267024962780798 0.129398848417018 0.0119461344887521 0.101398286892557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.4685142126265 3.52626006240658 5.0109978672316 55.3490261634615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.026752075704405 0.129507579770002 0.0119499680147643 0.101647667759818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46638365001061 3.52496576232876 5.00757056126092 55.3110881830455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0279022483293219 0.130017887520767 0.0120553550638155 0.10271216597293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46272838178454 3.52304657656875 5.00093336053167 55.254263211663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0299005894948881 0.13127494764196 0.0122965173542361 0.105812555251067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46863171027201 3.5264615339079 5.01078340589534 55.3542894260522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.026680562539625 0.12962967731996 0.011884008081374 0.10223051492974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46815112521571 3.52629584043515 5.01019021514071 55.3494145715472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0269616011416499 0.129910614356336 0.0119247522562966 0.103215743739426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.46592106951133 3.52514677860908 5.00731117140283 55.3159145381323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0281456230721489 0.130315442977316 0.012039259690685 0.10393626701302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.44595134539871 3.51554141576845 4.96994207006455 55.0257955749331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0367731781465225 0.135950375613658 0.0135847706307695 0.116315186305314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 3.40729075534244 3.4969040866784 4.8878267739744 54.4562635024166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0477344515128727 0.146721108948137 0.017093410842215 0.137720891228528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633634795471681 0.634525061454033 0.543599787594087 2.16153577503972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0162742416349983 0.0306395688151548 0.00512800763707309 0.0222830010337595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633654653077974 0.634547637685995 0.543639558566853 2.16166294542061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0162962810818868 0.0308881467810669 0.00510976532686368 0.0226594299501744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633585564496241 0.63449713349666 0.543601096019345 2.16126537291065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0164211912508961 0.0307802590063129 0.00511454087613545 0.0224460732692283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633599657045368 0.634597102058027 0.543478207573703 2.1612038624797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0167899147026213 0.0310542742141714 0.00511546340219951 0.0225689150391324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.634516286754901 0.636147319258319 0.542620884255524 2.16508115511016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0194508895886547 0.0333892335579724 0.00557624725013347 0.023339811115539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.635172630327062 0.637570160314153 0.541135176027339 2.16718882779125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0221843646293811 0.0359236357897512 0.00584498057153556 0.0234917002409675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633453416797276 0.634373804875561 0.543604677512958 2.16042360996361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0168401755495479 0.0310952533594489 0.00521099318549082 0.0226290672551202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.633734253823747 0.634815781840488 0.543491188234545 2.16155928168156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0178564682240994 0.0315371212012202 0.00534540968156485 0.0225829545113143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.634484306691572 0.636060392351715 0.54293627937959 2.16462375892474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0199499530790266 0.0331902191589052 0.00542195712692279 0.0224797423699875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.637808178562738 0.641872856040731 0.535436115681857 2.17604468368594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0310216383592206 0.043199337891889 0.0072207943851272 0.0250451416532976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 0.641084276823744 0.647242263164371 0.521560038708063 2.18211276856644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0434478617995642 0.0553620803136983 0.0103640245865551 0.0296659166251382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96695531358902 2.01162590103473 7.29846858912695 24.1652032788888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.023369093289726 0.115612013497983 0.0148587502609919 0.176004661223821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96705940261111 2.01173638281834 7.29793203209751 24.1664795530546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.023161516728557 0.115600775940305 0.0141904217334221 0.175968467522042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96682151477013 2.01149291413008 7.29795506793631 24.1626740271611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0231208719355916 0.115509596021425 0.0140070287402954 0.17429126672612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96687723877299 2.01155773622154 7.29624763115061 24.162252045974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0231810718701706 0.115671360972973 0.0142569964761682 0.174560157337148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96840526815994 2.01306966280877 7.28487387699247 24.1763523981084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0247594432347974 0.116049647380415 0.0144795576640222 0.172530943781352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96875657404551 2.01376437756483 7.2648844314293 24.170337500231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0267903692197985 0.117138053174174 0.0140009474555104 0.173683997460206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96782150852936 2.01241793402366 7.29609074016872 24.1763889718654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0234122914441895 0.11572273694815 0.014820721873319 0.1762035637484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96767920557637 2.01216093191799 7.29422447501997 24.1713123308646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0239596950730097 0.115470140063077 0.0150782135906703 0.172641581626196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96887434902141 2.01319156309397 7.28258794483666 24.1787274594167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0253934276611725 0.116073515123156 0.015443113064302 0.172764829935427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.96820375070683 2.01427590565769 7.19415138245112 24.133573593977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0338725924867021 0.123687004519718 0.0140933292063983 0.179182715289717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.95962904463374 2.01054645767345 7.02490644626278 23.9626497473497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0455091333146327 0.133115250681837 0.0155671626361407 0.18744084845216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1672159860124 1.17004186512004 1.53918827651789 7.01788108351355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0458092561068433 0.0351009773690506 0.0339570931367142 0.0204681576095864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16715075130843 1.1699621702541 1.53924261419443 7.01722159691375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0458190508791778 0.0349356169797494 0.0339535006065771 0.0201937257071187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1668589287582 1.16966449549031 1.53897891239697 7.01419455126818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.045659293824127 0.0349133754788454 0.0337640585830006 0.0201274450268234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.166891211978 1.16971323135141 1.53876187765725 7.01445654140795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0458746702490417 0.034915713446343 0.0340145836054486 0.0201714634057223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.1670406602694 1.17031711366577 1.53751848025516 7.01771410674935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0467898321788723 0.0356374190595043 0.034086175719924 0.0200839448715915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16638843192858 1.17058045182193 1.53355310036482 7.01411506322948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0485136744869283 0.037386342321664 0.0342212644815283 0.02049790040612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16667913198253 1.16956580854943 1.53893996091931 7.01323351397048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0457280140908755 0.0350647094506373 0.0337495801693767 0.0202615764878631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16711798504522 1.17020888655269 1.53874846165862 7.01862190409345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0460944994549888 0.0352261803865979 0.0339585206253102 0.0200875075211717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16665181865655 1.17040771993915 1.53702997104646 7.01721502711838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0468202001833935 0.0361755666002297 0.0336528662711053 0.0200403814455629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.16376620615272 1.17288342626798 1.51950976618762 7.01561067225843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0552970620395588 0.0456125472764466 0.0360173924099716 0.0227402987620575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 1.15680875274185 1.17525049669611 1.48302266898368 6.99625360267061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0672423468699622 0.0577159356185548 0.0411798357916669 0.0262826301913306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17927425259354 2.18195707266771 9.56700655088407 29.232101098179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0842367117704109 0.129366036768247 0.0657451194003315 0.139066519535853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17943412360155 2.18206742728442 9.56779504945037 29.2349880880718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0841822732045178 0.129387213966755 0.0657381886971412 0.139093360968296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17945600454913 2.1819467605014 9.5695315255004 29.2334587277398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0845084361761115 0.129422453957171 0.0684164778668502 0.139147055309943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17930957292931 2.18172644195792 9.57131487329282 29.2301262195365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0846862698767696 0.129452292326272 0.0688663508267432 0.139239487440329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17859110758496 2.18103218027123 9.56602516846128 29.2158744184134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0854054873346242 0.129685058495278 0.0690155378919264 0.139189671717848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17602680218064 2.17884337408126 9.54859550971131 29.1695209048582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0865003267049166 0.130381403489436 0.0690106154577491 0.139170965810561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17817711086082 2.18076158364976 9.56702860202209 29.2107183200788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0846578230911657 0.12947075617799 0.0684615310323936 0.139316336005571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.1777080937493 2.18026670247592 9.56550359413965 29.2011789019639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0849111144864396 0.129511995354235 0.0685726678798461 0.139237853549922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.17611382556173 2.17886182715369 9.55679231765962 29.1723713634866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0858136500455678 0.130014695733034 0.0688249530173858 0.139657606337608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.16278199342808 2.16799788777051 9.43936961592205 28.9214290543724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0910377270208587 0.135072219561464 0.0703204825232687 0.146033480043425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14985190235218 2.15871930933031 9.23369877583206 28.6637451021772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.0991788404682529 0.143135693006978 0.0743742343243916 0.157997085833095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14744485363999 2.17538219495845 0.164257637276638 19.0961103731855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17225398112541 0.0403542159540377 0.22945495817449 0.00797329134791061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14742193129964 2.17542769441454 0.164320945535558 19.096906480634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.172314479667551 0.0403321961499291 0.229511733489987 0.00796773531147776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14737825465552 2.17546643727065 0.164383490037439 19.0975977630257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17384154534323 0.0403170149866794 0.232286269669695 0.00796491986335692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14722963670493 2.17552354413033 0.16450708829899 19.0986639052533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17652004419608 0.0403127308999448 0.237111968734794 0.00796846624247851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14583103330609 2.17547698616618 0.164987995688272 19.0986554104835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.179069982421989 0.0407187084224485 0.240682152737706 0.00811462188634431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14314068900569 2.17498361141932 0.165438706447088 19.0917112864075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180313175704373 0.0417894714192472 0.242769739198401 0.00847628652918141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14725677437804 2.17569633086563 0.164219927385732 19.1015081732985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17471338413492 0.0405103803028914 0.233621219598792 0.00800821516321201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14686976461677 2.17593871989333 0.164177241312861 19.1057910602065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.17578755118506 0.0408041392662128 0.235018364204031 0.00808224896301738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.14549848839753 2.17620231808814 0.164080328473284 19.110913378672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.180671949217035 0.0416552701840215 0.242795905461985 0.008325683098836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.13204425093171 2.17399737118149 0.164033602473759 19.0808106415661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.183061110499125 0.0486839842828274 0.244783313085192 0.0113520789139694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 1, Locfun 1, Mul 8) 2.10487241399965 2.16631667874561 0.164123004891684 18.964954054235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax HildebrandtEstimator(Op 2, Locfun 1, Mul 8) 0.187226094521328 0.0608176867606597 0.255456343963166 0.0178539583191041 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax KalogerakisEstimator 0.00511091907916161 0.0028133263214102 8.50480631420813E-05 3.01509269826664E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00618427006780996 0.00340202672601032 0.000109177791828165 4.33179363425871E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00726166170923321 0.00386512713633126 0.000142063065352845 5.74667033729918E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00869142069144323 0.00484847343161551 0.000205409938632989 8.76186939465998E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0120825630451785 0.00797338574207185 0.000391795099536075 0.000221520430781779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0150464259403993 0.011229500235737 0.000599151007314989 0.000418402262733677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00859029833116523 0.00473684373246666 0.000199306200451859 8.48289250190816E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0104992578995652 0.00589710114115585 0.000301364941431633 0.000127816677340241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0134213601990983 0.0081372732469735 0.000469374452101502 0.000227155969670006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0257238590791833 0.0197143976853607 0.0016827213920909 0.00115281216257801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0395061979035859 0.0347646809838782 0.00412821820014467 0.00334471425377926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax KalogerakisEstimator 0.0108344140776571 0.0158655514852368 0.000393103230799915 0.00117743458584103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0117114926713189 0.0164342046924303 0.000415632629399407 0.00118077797889109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0127410120806041 0.0174248745340038 0.000480825090933639 0.00126661001745333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0141204349761602 0.0191088111711665 0.000584224770988972 0.00140853664822559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0166610885014122 0.0243281237094285 0.000838021165285308 0.00202899810772513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0186408648283989 0.0276119829005841 0.00102696758663988 0.00241288233064311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0135958491402482 0.0190088903714012 0.000538908432165242 0.00144143915658811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0148873252489197 0.022530836475312 0.000643984486236014 0.00187833701009414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0172124279152571 0.0269890237265371 0.000843519275970169 0.00248960597499267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0283852468086916 0.0405436674372558 0.00202649797464593 0.0051759359077835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0421128010469714 0.0569916620453153 0.00446085694392765 0.0102596480199879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax KalogerakisEstimator 0.0159276000970601 0.00029431888320418 0.00154162123600967 3.4869591645666E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0172212080465053 0.00111062075453566 0.0016589744889003 4.80217817253741E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0186755650851817 0.0016776654024454 0.00176678777908561 1.16170472935691E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.022029384973195 0.00255897355228273 0.00210151119095814 2.44672387622986E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0358880205816279 0.00594259761492232 0.00476163836538763 0.000101734474831447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.043139622010281 0.00929609175704067 0.00660801306858989 0.000235257265330807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0205738203132281 0.00216210527597954 0.00199868938623749 1.60634493502142E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0255686381767453 0.00383473452168912 0.00270876270848279 4.52349654851075E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0362186296044013 0.00709939173662367 0.00489083388977894 0.000139796973026254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0554689623152513 0.020638321367658 0.0107074659103274 0.00116027952858365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0659591124294064 0.0353417926880036 0.0148726429546148 0.00327939196219179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax KalogerakisEstimator 0.0176066661190063 0.0192684214373005 0.00105333749808247 0.0016489356024407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0177606189925094 0.0195558559566237 0.00105121643480374 0.00168021551502745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0188462409703771 0.0206819525777354 0.00113322457701002 0.00180092081499805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0210233402237549 0.0230776501500614 0.00133184570978026 0.00205522962999396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0254534807430609 0.0298883308619322 0.00195859054380713 0.00308594889614183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0285444566088855 0.0337741829677649 0.00252071227916218 0.00394146287141235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0207070193288997 0.0222426256866634 0.00130453477085195 0.00192120198016402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0227643671622688 0.0258801071390194 0.00159504093405439 0.00238733419796837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0251030906531702 0.0302302160061559 0.00192501621678914 0.002985529806818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0343202455571386 0.0385115511239072 0.00357755755712678 0.00421787420865096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0476276955523095 0.047989771841798 0.00646712275064476 0.00634567829317997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax KalogerakisEstimator 0.0185204562897795 0.0109329731889395 0.00118526176881285 0.000505392165908361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0192469395306071 0.0117804683047963 0.00124647189174988 0.000551291116975505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0200022439056757 0.0127551772572077 0.00131046336093567 0.000594441862599225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0218036892412712 0.0143327194502077 0.00150529356083881 0.000718058377701506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0284487955703715 0.0175590425573666 0.00245136135482849 0.000989359497754458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0330721418782654 0.0205348916245826 0.00332973130595337 0.00129454637060063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0207415206222451 0.013981602292096 0.00139489621496681 0.000691628911791882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0237280578539666 0.0163226191809258 0.00181535751277175 0.000919106090198136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0273740306743704 0.0188845780510251 0.00244711759123941 0.00120772988946287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.038161100428276 0.0305648460581936 0.00459591903673918 0.00308138015596105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0508496548998627 0.0474664935551906 0.00791729934011634 0.00731598865878136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax KalogerakisEstimator 0.0101965906048005 0.0094300315109759 0.000342997940040672 0.000425170132307416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0107650060533229 0.0100971679425054 0.000362899914068973 0.000450417837274045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0114275040225919 0.0109348889038556 0.000399192730671436 0.000499081184190675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0127597291633552 0.0130785647120688 0.000474764990145359 0.000632901440929577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.016703084565952 0.0169499724647001 0.000822610156612419 0.000981594172203292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0205805642713362 0.0199873010150033 0.00125222732825669 0.00134648713382051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.012267271705036 0.0122540128795021 0.000408303967970154 0.000606448580326975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0137842675448323 0.0141603292393624 0.00048745123325816 0.000766647684003873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0155274644831161 0.0175642316221401 0.00064235098343097 0.00112426117174291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.022768558780587 0.0266645517728743 0.00141411057120925 0.00238550487694304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0364610197458133 0.039322583081547 0.00386918636816015 0.00489470942947554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax KalogerakisEstimator 0.00525953679620957 0.0106007317061272 8.25072148900449E-05 0.000491211989499636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00616567760534314 0.0113365937849016 0.000101632356578176 0.00051994143979699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00689646675298091 0.0124267907216187 0.000127307859041714 0.000581483259147143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00778508053580501 0.0145498652659048 0.0001607608057058 0.000719740331166542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0108073499113699 0.0185932916090891 0.000317413255807321 0.00107967468675386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0145445606192835 0.0214795452952588 0.000573540475561301 0.00139626752354488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00749732035191702 0.0137029405684003 0.000146861214777233 0.000665659536587121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.00866567864225755 0.016097444620612 0.000194459523468339 0.000850739574166975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.010933890558558 0.0185650772728007 0.000299783151894607 0.00106273335823077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.023466930125309 0.0268137957697047 0.00142843515195164 0.00203462954362975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0400110748616608 0.0374778885468671 0.00420935004838907 0.00380846823445112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax KalogerakisEstimator 0.0103886090776323 0.0101333572217837 0.000338887062534566 0.000419719551606063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0109300256020561 0.010684300974628 0.000358530606514806 0.000451161235111835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0118259245657477 0.0114198263745672 0.000402456511150473 0.000485655216487064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0137638398021111 0.0126121266607878 0.000559889782686454 0.000560875458987631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.016886935002725 0.0159485044080925 0.000782647949805748 0.000816548229366627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0197386950663057 0.0186457392097427 0.00106837142724876 0.0010854872991802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0135726174100821 0.0121161168628701 0.000490486670971441 0.000510745284489689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.016290986345339 0.0135413716661407 0.000696811036049765 0.000598015579750379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0207338057721263 0.01572781914183 0.00111940906962629 0.000770830065406238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0346744428453272 0.0271036442004534 0.00300008347909925 0.00223719056641688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0519767403253801 0.0423602580418581 0.00673624426976277 0.00550835670796866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax KalogerakisEstimator 0.0169842028707508 0.0196482294504566 0.000987362432080574 0.00191188540343239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0173404026244769 0.0199575100848014 0.00100238058290816 0.00191685142642853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0184463512552424 0.0212032840120935 0.00106533076228711 0.00202027568710083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0208798860016084 0.0236769257584954 0.00127852229652127 0.00228627966966612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0261657071096997 0.0302520037030742 0.00197721908636287 0.00331229788414236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0290061593991163 0.0347956383130559 0.00246750345859097 0.00415496832209714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0187964016660737 0.0232956723568183 0.00110941538766016 0.00227829431056728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0204989715029765 0.0269698315768726 0.0012822843195848 0.00276009601563693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0219942332954712 0.0316429785981108 0.00145364361401332 0.0035635756680886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0299667286001766 0.0384196361101485 0.00257259146112884 0.00453917099347743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0441095394646063 0.0527085127654418 0.00531140003514564 0.00840979929189935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax KalogerakisEstimator 0.0117463092077417 0.000411547955436824 0.000532008036964746 6.42991806526429E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.012887881293244 0.00121897220491953 0.000620130768712117 4.89135068828087E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0150233937013382 0.00150390680763649 0.000790938399985883 7.38517185674888E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0186073589384058 0.00205303028692521 0.00113725888376858 1.09687793395114E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0284166215370281 0.00519143453196975 0.00250351992963829 7.057595539455E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0313460575380678 0.0083253482068689 0.00303774276087871 0.000178989076748113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0163636988062504 0.00209361720320974 0.000882464177137736 1.27052028051127E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0220603322280937 0.00342736161079333 0.00147360288495498 3.19922300806034E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.029700810077151 0.00634980510274856 0.00249159048772236 0.000111013790933624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0366917194805551 0.0188287930246003 0.00383374494181929 0.000987544544680976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0455087775652831 0.0325955239847211 0.00602118371309166 0.00297896249728937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax KalogerakisEstimator 0.00352983566498666 0.00236871276721834 3.95411576455607E-05 2.23681754115811E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00463889704635912 0.00286014617370815 5.17731551570336E-05 3.06689670006304E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00580636953072811 0.00331005823218403 7.76035052695906E-05 4.12250515705026E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00765814617696236 0.00424481471828123 0.000147186023217944 6.69880885332296E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0107204732596619 0.00742181624911448 0.000289881671867548 0.00018364838088009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0139111143627789 0.0110070049216193 0.000474703245264172 0.000372777482083493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00721331398507921 0.00385577919614702 0.000130649805474815 5.62501769379193E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.00913345901216638 0.00522113983037893 0.000222371175280194 0.000101329270530387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0111448558163257 0.0079334335584101 0.000319456290150234 0.00021293673601315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0217546170989707 0.0206484254953866 0.00119979368691921 0.0012440943999043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.035321694304078 0.033886533021493 0.00326110909070435 0.0032108797567682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax KalogerakisEstimator 0.0089149190569241 0.0133696227641903 0.000252574479708421 0.000883179612170901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00939263775376695 0.0137536300483419 0.000268308395358245 0.000909042322857826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0102492022652674 0.0148383664952217 0.000303172028889932 0.000988707432903339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0116128771769436 0.0171927957360415 0.000387272396313483 0.00118261618295691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0146612178098258 0.023914000385888 0.000638422774921235 0.00193164638265265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0168900950243268 0.0271728033428037 0.000848422169493083 0.00248183157207074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0117718771930077 0.0161474984883427 0.00038765772726401 0.00107163332833168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0134986827442112 0.0192151485412143 0.000539420969112187 0.00138255212730175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0155491255908221 0.0232401661520401 0.000752855674018152 0.0019253675699576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0255065418420603 0.0326257445795156 0.00197375012504246 0.00351304012399305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0391612450381026 0.0455600488366256 0.00459714664957615 0.00676343709208975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax KalogerakisEstimator 0.0149085833191895 0.000345439854831296 0.0010633557953427 4.4792439944266E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0155629238162541 0.00149493342093562 0.00113679154093152 8.81389062174337E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0176858922974188 0.00197777212091254 0.00134216349920583 1.58416562845213E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0216627646841465 0.00281600548838761 0.00184626140268016 2.60563114259325E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0350349886266997 0.00710002855340591 0.00414079893023086 0.000138753851225876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0435759960812883 0.0115157329264275 0.00625778880102685 0.000355043181825338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0220427379893473 0.00288383448282107 0.00193135247169397 2.80648164281574E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0296209076509096 0.00468083566747028 0.00318165297869499 6.40588291060387E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0408078207794116 0.00870460149331144 0.00552963876374297 0.00021232822432483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0543323965704978 0.0255877389614595 0.00960404094512029 0.001775127326047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0630614108504668 0.0444741834716395 0.0125239825672451 0.00529778068876896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax KalogerakisEstimator 0.0139644841128818 0.017134248444332 0.000615625585630605 0.00125576278077936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0146976787696823 0.0179866336081971 0.00064518759204868 0.00132717268437125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0157276528383937 0.0187040251864245 0.000695469813951942 0.00139042880200829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0181473776290852 0.0207428145515166 0.000854881848330476 0.00158876312635505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0229073962444525 0.0271624638513204 0.00135674308374778 0.00241605349344738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0251321324733344 0.0313325836934006 0.00168339855345298 0.00311739037903896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0169735696388022 0.019348078078901 0.000797420288014484 0.00140764281247681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0204161604892408 0.0222866917518654 0.00116001278846698 0.00170605494746365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0221861647093845 0.025477706459321 0.00145116221794599 0.00208240631402555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.032375909000708 0.0346708203035927 0.00358888972045081 0.00354371553697074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0478757595693017 0.0446963355586749 0.00674425478399539 0.00556795707588837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax KalogerakisEstimator 0.0143821141918889 0.00993614586503361 0.000709150872180955 0.000403603097922539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0145937177467073 0.0104057795673402 0.000723812457000819 0.000420363663648094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0150081440852295 0.0111941847541196 0.000748488120363705 0.000450031370305662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0168531307197997 0.0129359136261796 0.000917189868224871 0.000573887321577074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.022765904484425 0.016167495135397 0.00162979747620921 0.000852457590196867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0260455619388433 0.0184922784784247 0.00218191617090886 0.00108279777831961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0165982587716257 0.0128637744883328 0.000851406692037283 0.000563603228192377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0198867392572196 0.0147725662446734 0.00115754778694337 0.000717400470930855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0240025647185393 0.0181683386602587 0.00168944482407615 0.00105884207655833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0341994922226188 0.0315418263518629 0.00345417339580406 0.00302337951097496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0460765278683903 0.047615220263189 0.00620700341528325 0.0066515892836339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax KalogerakisEstimator 0.00735796766431679 0.00776118132685435 0.000171891830460974 0.000278239624237173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00786902201776682 0.00824812647555748 0.000178600549221186 0.000295822831137396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0089993894357274 0.00911040817168493 0.000219043288040511 0.000340336128104719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.011101700387896 0.0108541243964076 0.000333371106818843 0.000451596601682318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0131283910334568 0.0146511281177846 0.000477183831506673 0.000799824912079558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0158985045090052 0.0169140524608014 0.000690929087523607 0.00108147930800694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0102466154442123 0.0105766601703045 0.000295087362842096 0.00040316817522143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0117893955289007 0.0118252410821692 0.000432721151424182 0.000492581029195153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0139113061629401 0.0143084021955711 0.000614602673602145 0.000685986901557278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0231538484499572 0.022583456322783 0.00164039964923522 0.00156174611892187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0349794418029126 0.0337688725382314 0.00362036208311477 0.00339321665514862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax KalogerakisEstimator 0.00489403341597603 0.00729663836005791 6.24565922103186E-05 0.000235896526121014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00540679485724529 0.00792711415368569 7.03468395891488E-05 0.000253404180641242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00634762068299995 0.00920316103153794 9.67966202265304E-05 0.000308934527333185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00740921104408807 0.0116108086101805 0.000141739512019889 0.000452972181495312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0107774721860318 0.0156400678018803 0.000316387394192567 0.000749591861717968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0143215358802548 0.0179596599772986 0.000572263318208764 0.000975730038558305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00716354004899712 0.0103525159598984 0.000125929737253698 0.000377093725382261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.00838037919991257 0.0130219738563559 0.000172200251942461 0.000570442250305438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0108809557452889 0.0161257352275335 0.000294791654890271 0.000874188217457151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0235862591668349 0.0273995895896666 0.00138979021445348 0.00224207860088781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0395059069201277 0.0420109913291227 0.0038112493673361 0.00509520162558724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax KalogerakisEstimator 0.00935791838488068 0.0079829163201622 0.000264977218366851 0.000254700463538349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00958305869610306 0.00856058588450683 0.000269723023681286 0.000282916596523099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.010316050422538 0.00968414724686626 0.000296869287922279 0.000333327636727601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0118591336701776 0.0114465666762289 0.000389368341291104 0.00044927598102682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0155280610985016 0.0157166301774011 0.000695823133807737 0.000841148020728334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0173839630278759 0.0186119941462541 0.000827970115197387 0.00117652131866622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0115367776293918 0.0104272381101779 0.000366119585551212 0.000375909023439886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0137603208636439 0.0121780018606103 0.00053405511518715 0.000478742372498294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0153763126755241 0.014450849391523 0.000686331155059696 0.00064476904006241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0227678354881656 0.0229804520931924 0.00152808603011522 0.00152267858551497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0352561984741604 0.0373048972885349 0.00360171753210658 0.00411466840188808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax KalogerakisEstimator 0.0133598570737991 0.0180243549154529 0.00059430610203479 0.00151800153212852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0140952760465981 0.0186504080277181 0.000634006055464459 0.00157951770501435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0149424752660202 0.0195149431755457 0.000681034120610405 0.0016513776332466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0168826280495062 0.0219095826557635 0.000822801401610841 0.00185094224346113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0205281824984411 0.0284740708400897 0.00128392736701001 0.00272731802605082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0231586823685608 0.0317959301172397 0.00164830562294508 0.00320792225528979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0159345912158829 0.0205632211589551 0.000713305119029392 0.00171134695134445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0185208024524476 0.0245694897483851 0.000960329721601937 0.00217146442743695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.019949768067199 0.0294098330620928 0.00116115681098937 0.0029503658956074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.02786482352786 0.0394494952717062 0.00220186799604998 0.00505654444928885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0403066268782371 0.0515762305703169 0.00456800861706059 0.00853778167977567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax KalogerakisEstimator 0.00863155768550827 0.000254538375611291 0.000307223357097405 1.74828450498845E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0100405208576762 0.000797561440689731 0.000375362455629072 1.74449971854226E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0122291260470074 0.00129464217538738 0.000490782214771097 4.82534085444204E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0159673946898716 0.00211056833381751 0.000761395693155728 1.18135604137157E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0253465690244587 0.00583923295998576 0.00198460263366792 9.68706563060915E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0264168287015084 0.00905917243555525 0.0020549161943669 0.000222307994602541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0144062293214466 0.00177794416549933 0.000643342363763375 7.91595641549649E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0195189160958579 0.00314290928123359 0.00112511639419154 2.46962549079176E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0248866163718084 0.00584441571901802 0.00190411909800422 8.82214290528168E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0324107669370713 0.0170117768963697 0.00302268867808551 0.000746262472840043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0443060227573688 0.0294820504708451 0.00550957856500092 0.00224903831069634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax KalogerakisEstimator 0.00711927399626986 0.00314136863723439 0.000124602483689947 3.68648286440866E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00726979632308046 0.0033846173927242 0.000127767030169079 4.20069777721976E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00772512951645626 0.00393211197050401 0.000148753863390842 5.40697121852949E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00885313374152733 0.00510995278638918 0.000192849409802002 8.95031919060989E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0133045186875582 0.0102625810293066 0.000393178067561588 0.000323274062758052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0185120769267525 0.0161271327442526 0.000799155627739842 0.000753713821238173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00888646367733708 0.00435860131378933 0.000198876407849597 7.02276317466828E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0109917825704649 0.00608428888557168 0.000322938314756788 0.000132580247677271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0152463725746259 0.00998752892756712 0.000571892784023547 0.000337985481886193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0377223914790899 0.0270812141241303 0.00369114365309539 0.00223836925835661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0613902256584018 0.0453118434700098 0.0101567300721283 0.00586114042418869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax KalogerakisEstimator 0.0123741199984999 0.0192257669284856 0.000401675025291507 0.00154624119444149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0125702214362401 0.0192727872020197 0.000418699993788132 0.001525158249554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0125927036746107 0.0194478542720482 0.000435898640721838 0.00153468778347584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0132338367431145 0.0203806361853304 0.000499442614017537 0.00160790390752135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0183094853672206 0.0243379218804925 0.00100047230841181 0.00202798027374203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0247066002600405 0.0280146416858943 0.00182542889249028 0.00248219057671181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.013401962067057 0.02013011082728 0.000495740969455643 0.00160043402877499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0149788120396436 0.0211547357970241 0.000629369252412344 0.00163476178869103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0185801642555337 0.0249670942578829 0.000944630596956789 0.00210461697536029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.036665438719575 0.04127414317211 0.003551550929139 0.00487563310917956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0566924614561697 0.0613992159594241 0.00842559051069557 0.0105538131166429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax KalogerakisEstimator 0.0285902301324744 0.00284775612325538 0.00274350538606957 3.61029175175051E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0292541493884134 0.00324788621844895 0.00284275969146767 4.11015665268074E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0300557575442537 0.00410053957090993 0.00303338453458598 6.47463532450963E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0334057303585791 0.00559228996061805 0.00369526926917429 9.78937886463862E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.043066642270565 0.0132378118215401 0.00627152721626611 0.00048186754419292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0486923922067377 0.0213009124882034 0.00769728212237851 0.00118479651098636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0311866331715105 0.00488232729349516 0.00326760926863531 8.2363878624627E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0371282071384861 0.00853117715119271 0.00470003001048695 0.000222798850845637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0459498782308969 0.0165595390098815 0.00712173184753009 0.000789975092020452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0646330465035941 0.0495461807250995 0.0135997159864441 0.00675568132200298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0875360651467433 0.0830560669937641 0.0246725590556357 0.0183918003887106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax KalogerakisEstimator 0.0187749340436635 0.0217356460857166 0.000863080772698184 0.00195101954253018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0186306901460398 0.0218414122764539 0.000861857224180856 0.00198460221222054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0188298595371504 0.0221489125262602 0.000893290159718587 0.00203262975440594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0198885350671525 0.0231936947664396 0.00102532863507268 0.00215171676161552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0256279737647875 0.0285635391821455 0.00176112646804025 0.0030089573624421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0320240505139879 0.0324261165395618 0.00285557656665369 0.00360741233174164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0191531926080285 0.0219648800255877 0.000911738340576443 0.00199345237675857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0208379199267496 0.0241250328559088 0.00108785819922331 0.0022415919311661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0248042917980506 0.0290125521929576 0.00161935784410974 0.00284964712152732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0468855628404775 0.0518197694044968 0.00575201790317208 0.00762055378169253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0765272107503199 0.0769876198109917 0.0159450678792366 0.0164462413916945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax KalogerakisEstimator 0.0185590388195138 0.0148242826458101 0.000983700890930308 0.000840040904574113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0189770636891811 0.0147190661660877 0.00103610376872765 0.000834308509742987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.019448075484623 0.0150822174828893 0.00109775552720627 0.000858960237206012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0204567451115404 0.0160264386839055 0.00125305528786241 0.000964112273346964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0263807816689375 0.0200657190167326 0.00215802539206829 0.0013098451873122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0321611161108906 0.0252753444317094 0.00322810697468411 0.00189433904898396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0193557045112865 0.0159790556927951 0.00109462219121124 0.000957137784945523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0220284378093043 0.0182449113256482 0.00141649629333207 0.00122057390224602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0269437853478033 0.0227715754994451 0.00213424159463019 0.00187909631746407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0453042995726047 0.0442918284609291 0.00585786319995187 0.00659959498536658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0662672968492339 0.0692294102469269 0.0127952418582443 0.0151518899322977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax KalogerakisEstimator 0.01172430919497 0.0116748730007137 0.000323541557498902 0.000597706975869061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0118622689408785 0.011859492337015 0.00032121054712682 0.000606494902368561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0120521920017147 0.0122850008937473 0.000333214357150142 0.000621990402140026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0126658643192833 0.0133713672601735 0.000381611572487761 0.000679922609279728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0167192209102408 0.0191547264249671 0.000678812692146016 0.00114026976893735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0220561431496781 0.0249112723994147 0.00121945105711626 0.00176932940846085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0125758431409208 0.0123017188373005 0.000414676824534937 0.000619344937878091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0144721104640778 0.0136899907337719 0.000559957710686889 0.000717291300547515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0183993621774325 0.0172003462873511 0.000911439205516801 0.00105777342404939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.03995211847802 0.0320422755979584 0.00418710885641333 0.00329094502529572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0638357682172285 0.0493203308983285 0.0103381353790478 0.00769892383655978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax KalogerakisEstimator 0.00750012892222836 0.0121812909496161 0.00013692026699225 0.000560208452015976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00758523615775489 0.0121040651776742 0.000142752654831137 0.000553217684659788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0080319705834027 0.0123474616643136 0.000160665376816991 0.000561290880922847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00919372479743989 0.0134688727648229 0.000210210787013551 0.000652914507947789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0151798970641761 0.0180846662346403 0.000600004366674946 0.00106030071700338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0219115459421454 0.0231871681629338 0.00129101045147288 0.00165084848023024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0081975765872685 0.0127582447202984 0.00016034235361124 0.000595634613858322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.00949263969814838 0.0143493660804558 0.00021514519743893 0.000686685060592885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0129719044178241 0.0179557512865623 0.000411958305559755 0.000965130611869593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0331220994203054 0.036763570576858 0.00280927822767889 0.00364356491585415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0569840801263092 0.058481770466719 0.00849642816937732 0.00914723137563067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax KalogerakisEstimator 0.0136287401941529 0.0118651280185413 0.000485565134912345 0.000534685137576766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0136900128163824 0.0119574140587493 0.000502725728570026 0.000531025568068535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0138516641679195 0.0125605377964305 0.000524811477250417 0.000569994180055444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.015034481449058 0.0139587349777454 0.000624698364392514 0.000673718450911692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0194454291118715 0.0195154107113981 0.00112480443254281 0.00117878433534628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.02456034445779 0.026095409377629 0.00181431999152713 0.00197779235326724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.014743020325126 0.012679711430401 0.00056760297569762 0.000564456489408652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0171232929791023 0.0147222935193572 0.00075819756969407 0.000705392228717965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0211634390308983 0.0198656839422769 0.00120237550183358 0.00118146010180036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0409444537876444 0.0432873022187451 0.00458035640738877 0.00533095702797612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0663271634887943 0.0711197000852505 0.0122716097702219 0.0143767721294467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax KalogerakisEstimator 0.0174092069078428 0.0243391560344675 0.000820686258616867 0.00236789490021151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0173868499029731 0.024731554372803 0.000821350702964972 0.00241954725068617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0172149683374407 0.0254937718673422 0.000833124788882628 0.00255068442316389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.018654701998095 0.0282036911997 0.000978113741227661 0.00304313824489058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0232756408863993 0.0336558424914687 0.00166782342766442 0.00389757052389607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.029086330389382 0.0382922960260983 0.00261526875865964 0.00466806911034942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0188697938252688 0.026526139656657 0.000977162912485473 0.00268351116516234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0211058858676953 0.029082753189461 0.00119968893181789 0.00308776078355594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0259280024441936 0.0335781083582873 0.0018346089158154 0.00395745311954902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0467671426627012 0.0529361397251943 0.00571857975087191 0.00856251444342759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0708015936950006 0.0763047724617006 0.0128745790687637 0.0180484634229784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax KalogerakisEstimator 0.0175438929626192 0.00178952273917735 0.000856231793749335 1.14014089899462E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0177393193651141 0.00192774454018822 0.00089019936590885 1.33619544100783E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0182790589128683 0.00253402706198944 0.000951847404864837 2.1687013145319E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0191936853048547 0.00381363833578251 0.0011431258584105 4.14462204440824E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0238764896048868 0.0100313843681546 0.00192088581668001 0.000276783386021312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0275183294148911 0.0164686567472917 0.0024592099685415 0.000722893820340928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0201516183918679 0.00343014834000917 0.00115214462313816 3.34410413740378E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.022743362973143 0.00558827908062863 0.00153968077798194 8.16204800920616E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0263688803318267 0.0103878388394033 0.00207857593506739 0.000274446155968367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0459622159105279 0.0308973163911738 0.00592586607300345 0.00235093958747495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0710930169771074 0.0518179158810381 0.0144609370018615 0.00647716383121176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax KalogerakisEstimator 0.0149822146584512 0.00641498347126957 0.000476237696571109 0.000163639940319324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.015613031693659 0.00793439827315389 0.000582900835229326 0.000233751236304647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0174045126893494 0.0103288253690282 0.000793473045136505 0.000399618429410091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0224783088870643 0.016708445523069 0.00147925583253699 0.00116189436399921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0487524291196376 0.0458049772501434 0.00930420240560368 0.00985890293659947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0766555584527226 0.0742389516844358 0.026241165983848 0.0226354239589151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0234340178931252 0.0145468631405183 0.00178429722401006 0.000936451659993125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0375634551815952 0.0270782005219588 0.00621189199980651 0.00378823145257028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0662444481446244 0.0524033991087272 0.0227625921915023 0.0138222370506291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.178769519725378 0.242401905183429 0.175441806993907 4.24007901286458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.39786843559446 0.290580338100625 2.71922595907256 0.743023676675581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax KalogerakisEstimator 0.0274393944941452 0.0310681645614262 0.00217903248900119 0.00410437478285912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0299574589618516 0.0323606610662467 0.00299162933258038 0.00434304399057903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0320412192042322 0.0363797072583641 0.00357156221115637 0.00616398846291512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0372627357634301 0.0435185353187424 0.00542092921722621 0.00945688095823278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0632248689488654 0.0739595324255061 0.0156682549876259 0.0295630221360169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.130440736732757 0.110977344531236 0.461757003575051 0.0673688547321756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0354531955385541 0.0356058227241552 0.00685966105916807 0.0046899595476368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0430428368500741 0.0453843666332504 0.010440905386743 0.0106281566295352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0685737907640896 0.0732645086863982 0.0276058375204954 0.0473310743941404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.226987585962155 0.387373306280187 0.84785745243779 10.0594061616232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.386038886135534 0.455997969574862 1.62051696036271 3.42749243458744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax KalogerakisEstimator 0.0405113349295726 0.00983671471619032 0.0056586025388721 0.000611265833716963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0404708483456069 0.0117201107377983 0.00576801245573931 0.000721528843597664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0415354763785092 0.0147258244671506 0.00614915624914681 0.000991076207351063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0453941469864991 0.0211160730057524 0.00718335114415998 0.00179556822989335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0959207980256252 0.0559082123592487 0.337529587676343 0.0370548093810163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.100692770107529 0.100843132958408 0.0635830830228738 0.393597250952746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0426905870503494 0.0182882578217649 0.00619459464217471 0.00134919994114339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.04768942714934 0.0290057218545602 0.00783820911027027 0.00286306606396292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.05907435428152 0.0523992535195742 0.0119911143123742 0.00825692146685958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.141217008666136 0.211429631030282 0.415912496398492 1.73106485810456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.233950694009019 0.385206507038838 0.521764754775196 2.53500161514471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax KalogerakisEstimator 0.0327231122469622 0.0389476739130277 0.00220380440968476 0.00639144435584263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0332336751944646 0.0399227214742574 0.00243013144055942 0.00678371671552185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.034820381156925 0.0409711859917725 0.00299944710028768 0.00728662890348419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0431758732061224 0.0452455054197977 0.0120668921541124 0.00897523902245651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0846867809610625 0.0693530273799137 0.0511572746726514 0.0204769559487737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.303656309232978 0.156640449254449 8.24504488462066 1.82759808613679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0411079481350695 0.0410151415440721 0.00526463392532167 0.00731028089329143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0587490177981035 0.0487142644669873 0.0297922159359512 0.00900742455650647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.114139546930049 0.0989911391052184 0.893186004714388 0.37995648604883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.377031059211619 0.344673259718912 5.82559091760234 8.58756318522804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.46691553913019 0.48657093399763 4.16373307305351 4.18587797470223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax KalogerakisEstimator 0.030869397297041 0.0289953936050628 0.00229841530027666 0.0034960868117566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0317170931437723 0.0290244939617803 0.00243985815514042 0.00350968694614008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0331328452148357 0.0303908623222343 0.00275657906369972 0.00390746419552549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0367197583952352 0.0345863177299116 0.00373379677268529 0.00465946362514049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0606920414963901 0.0630931905686583 0.0129305709495741 0.0154390627634704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.132327723592604 0.114074979819511 0.962374176410237 0.158567515672595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0376723690272962 0.033604388127609 0.00379619671196471 0.00407099602437072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0481356727340582 0.0424147136771703 0.00741323237745869 0.00624816573015801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0693140260939743 0.0657234494086602 0.0161803549280364 0.0147025102937316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.177278846252557 0.209062315066452 0.593328604185775 0.335951612891585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.297338202346476 0.328825589326648 0.86751671554658 0.871163519771063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax KalogerakisEstimator 0.0240506860437036 0.024721556492747 0.00160165853393052 0.00357128976200847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0303317098215737 0.0269204708950533 0.00963968387166158 0.00477291249910087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0321631474593412 0.0338639465331785 0.00983117858381734 0.0165329452830304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0368585662775455 0.0452036569305597 0.009184353762343 0.0438844482883622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0920209681957724 0.0994859352364162 0.617265499638527 0.391753759603052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.102971798930515 0.0987690912580627 0.112919736956538 0.0951478140496849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0337370248060133 0.0346439845299032 0.0268506889398246 0.00871863462709787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.190695760399195 0.151687168546206 10.2913700818329 9.16751566539734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.155701556163161 0.169879681426825 3.69924950422183 8.04637320156712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.23194801981029 0.179955727996421 1.10613370055134 0.320591590985686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.381168388277965 0.291610926146349 3.5222635645332 1.32767584454213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax KalogerakisEstimator 0.018140567394637 0.0260116043759619 0.000795944984882423 0.00277215245584333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0188963818153781 0.0261886606110604 0.000821766422489758 0.00272141993725146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0207375240346317 0.0271544563188254 0.00118705587013027 0.00290936266838498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0257765809411439 0.0303626462465804 0.00273858432638579 0.00368024686931559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.052821332984299 0.0544061624248017 0.0212761485928682 0.0119024957131914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0833725819898669 0.0821109124749797 0.0606249436048525 0.0290584194133485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0231174767831528 0.030094140007244 0.00138222384174285 0.00338944574803426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0320938472578161 0.037169489609687 0.00342664670426659 0.00502830300248528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0514400410347572 0.055062976907117 0.0130545417928119 0.0109943455182779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.195192193818065 0.133183916469919 2.45078601273689 0.069792359783567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.336980255125801 0.221514998742174 3.65404434187498 0.295531436182772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax KalogerakisEstimator 0.0253856966220299 0.0238670414643907 0.00161101488100315 0.00245273540988758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0255188255952314 0.0256200157474442 0.00167901661182681 0.00281553060398249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0269058683691767 0.0270545684821994 0.00180269984529652 0.00312665426942155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0314410900524819 0.0323212446249524 0.00297712129714246 0.00475838957640081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0571788280447415 0.0665498192165654 0.035885014416091 0.145277495299273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0816599018225168 0.0852499602725712 0.0286472729644695 0.0837431261284057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0281320663264814 0.0312198917273951 0.0021223830309975 0.00446178841958663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0364994497156859 0.0393228892400261 0.00447091400597294 0.00585574876927185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0577645820096726 0.0605363141188111 0.0132264515334934 0.0142166754757496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.205924945977947 0.290806212859111 1.09158565498404 6.09122315394165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.352621633414584 0.325965582509836 3.795396636596 1.836638681484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax KalogerakisEstimator 0.0374795716853546 0.0423825165319579 0.00316105681393521 0.00758539749134673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0379273928468641 0.0426945858152052 0.00325960249063545 0.00747720332060751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0384616784356861 0.044574118839485 0.00345362046838172 0.00818676921330149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0427067370691546 0.0488869999993723 0.00581371865401302 0.00969617504600868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0657481464849908 0.0654737124946637 0.0259812356436178 0.0153749490716682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.110120608967392 0.0902019051172266 0.140606179774899 0.0295752314213264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.043721998550953 0.0468192673230177 0.00478471122692623 0.00819639036165137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.051281429905257 0.0553851259017487 0.00749161223360091 0.011351659335984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0766600020283621 0.0802778077519722 0.0214312626507045 0.0346206652818565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.199978192737271 0.276753300563497 0.290116031775785 1.99618954621597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.316256385412413 0.453687551372125 1.39299093112101 3.3990828994066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax KalogerakisEstimator 0.0289490317884036 0.00827945229923001 0.00211770219883602 0.000357495650683897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0308477967019955 0.0101300638640861 0.00256278538712044 0.000532985322451736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0317731861398041 0.0128852092532595 0.00283204217621678 0.000824030991911064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0354363430777719 0.0184302537591876 0.00372874416996847 0.00150281421989769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0694813229162908 0.0613322884755834 0.191561044120759 0.293388734601881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0848479075158345 0.0731181170253564 0.0530532101327508 0.0601665185861505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0377350523687482 0.0971504203922096 0.010294692356615 2.74366616977617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0448373265251544 0.0302281320785527 0.00925541863595051 0.00624018110277709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.064363061653162 0.0938326615214031 0.0159691333324456 0.9124780288452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.160523240358048 0.170550678115911 0.169060629990427 0.359064196661027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.379221614927595 0.342359718765973 5.22508731951727 1.65794168841475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax KalogerakisEstimator 0.000306188738355082 0.000159947026865248 2.23063397926845E-07 1.11000536852432E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00259398576094966 0.00237355595491135 1.70711612211986E-05 1.58174821993747E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00476715701119611 0.00463540369157064 5.81424594995594E-05 5.89174355058505E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00929604072746036 0.00921953254405379 0.000224001650192759 0.000230011590323778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0277463541817906 0.0275936754156797 0.00206626919953826 0.00198071996121776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0461311425139311 0.045933341819509 0.00587878109064186 0.00530728779804781 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00731770540709088 0.00752025959669019 0.000139018225436188 0.000152816450114436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0144754835140063 0.0149991576778075 0.000554593275941288 0.000596540104512532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.028837211706261 0.0298989472407672 0.00226722903153383 0.00230301941907045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0869382793963673 0.0905610188821149 0.0227135114020747 0.0191736751078539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.148203625777216 0.155647007183445 0.0727131341200313 0.0504792313001167 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax KalogerakisEstimator 0.000777358814916637 0.000989854783981024 1.66142093521247E-06 4.29950336169262E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00302263202353506 0.00408072273363255 2.52178312664392E-05 5.88395325132291E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00497843807199182 0.0058046653252776 6.7030551288255E-05 0.000104607562929097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00924725128035062 0.0100062656562151 0.000231935653719615 0.00029179332477696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0272051775771262 0.0285017908371354 0.00203611114085329 0.00228018060220986 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0456012593863008 0.0476091103120948 0.00580290951445591 0.00627877670088758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00758317608436122 0.00849629902020546 0.000155203295348879 0.000207682004220888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0146557374321135 0.0158101306190626 0.000583750268304386 0.000699022748046923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0290487535021763 0.0311033743153566 0.00232127493506984 0.00266133959143284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0878639698485018 0.0953628517789696 0.0218879554977545 0.0244580869017937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.153324939453639 0.167345730625473 0.0686768515162199 0.0745185476286943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax KalogerakisEstimator 0.00081781216985761 1.99143267031221E-05 3.67641003044301E-06 1.32443716978847E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00763073963044881 0.00215238608430244 0.000207778621647432 1.28245670510847E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00810380180465529 0.00410901002669058 0.000235993464177686 4.5312977955185E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.010703662782112 0.00811126596348451 0.000333896548250938 0.000175071023786602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0276847878066231 0.024269477426492 0.00215492329603034 0.00155215334873938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0457093894942207 0.0404115661019889 0.00593044059896705 0.00425885255369705 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00937018986108454 0.00672514948122961 0.000262698769818247 0.000120019243559948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0152579732344636 0.0133839088301174 0.000642607065956155 0.000472235842770774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0287046246613663 0.0268255579628106 0.00227290789946238 0.00188465836031291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0852628487571753 0.0816269174485546 0.0207043859029031 0.0167042799113031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.147461542473186 0.139816851668297 0.0644469224416993 0.0466530651712229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax KalogerakisEstimator 0.00134914318366427 0.00140571779720483 5.1455156051963E-06 7.73778053132957E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00403294816904578 0.00476623667935043 4.48568331034111E-05 7.49958963729843E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00586832378955846 0.00640547505633054 9.46269096714143E-05 0.000126849762990276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00980512859754865 0.0100247659710699 0.000258166895957872 0.000280516271756296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0271626202994917 0.0267037364448866 0.00198849314824941 0.00192430354929511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0450051566456651 0.044199825515011 0.0054874055816849 0.00522224997312208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00803461946721177 0.00869976708752368 0.000170949786078034 0.000213319528307317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0146287500069147 0.0150812986081781 0.000564013686226818 0.000612308611163841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0284070963809151 0.0290519596183891 0.00214383450580392 0.00224201495581427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0854970892424178 0.0880010385728515 0.019946218558321 0.0201949797316635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.146936291557128 0.153381821271694 0.0609609639815652 0.0606332447283202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax KalogerakisEstimator 0.00131310225327753 0.000840870717250142 4.76884927836269E-06 2.55873995886482E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00412728475692072 0.0033202384265584 5.07774797446661E-05 3.16286209171287E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00588108537122668 0.00533742839041639 9.76533263119347E-05 7.85284687091724E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00971843067490011 0.00962713320029765 0.000258357114591679 0.000249064637501117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0269937500465111 0.0278821720847073 0.00198440071979371 0.00204828477963214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0448899404840838 0.0466518936256906 0.00552547665402206 0.00568683489816873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00783127572984755 0.00820353162897407 0.000168032996220386 0.000184164483058596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0141752108689371 0.0157416679908243 0.000549137729318092 0.000669235911138306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0274884525210486 0.0313555270538181 0.0020683086766982 0.00262746489602485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0839183199919416 0.0960906356147356 0.0198087332295776 0.024044521024133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.146637223907916 0.168189477982262 0.0623984686272342 0.0718982967509538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax KalogerakisEstimator 0.000634517733671392 0.000528765348517811 1.04615429379257E-06 1.16778033157828E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0028668395221843 0.00308967155699378 2.29115306096385E-05 2.94871585214827E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00455668961439376 0.00494952021462843 5.66315342416325E-05 6.93442306262099E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0083066576148358 0.00909917740371578 0.000187794132687823 0.000228977967476419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0241882205899376 0.026653245402357 0.00160667817332305 0.00194103069054691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0402304661836668 0.0445326343775905 0.0044720422654281 0.00538628241376139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.006901212426071 0.00728780243464904 0.000125850507665087 0.000146605117826353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0132531916333809 0.0140286123887455 0.00046592074310502 0.000536251109614543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0262938543811694 0.0278605431823291 0.00183985538399439 0.00209628003419334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0796462971667874 0.0852431785565641 0.0173466590717114 0.0192799064965694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.13684081125976 0.148235093219246 0.0527424596319859 0.0575864219764042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax KalogerakisEstimator 0.000337254435388385 0.000642065913314689 3.21854329009612E-07 1.6254901545058E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00285395673605955 0.00310539583647022 2.1494350307347E-05 2.87841592792241E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00517097938873219 0.00488521457936496 7.08689456181797E-05 6.64086062620731E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00999999444317201 0.00895134368588686 0.000266940969870301 0.000215111086423204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0297327145287073 0.026038738836188 0.00238691106778147 0.00178090439117889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0497479413811851 0.0432814698750463 0.00670877449518853 0.00487780520262135 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00813454553655579 0.00743682625469437 0.000181098652973813 0.000149247737610929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0160491615022526 0.0143800511544457 0.000708945610763025 0.000546634285529208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0319832345647183 0.0286320352362454 0.00283553750793086 0.00213882869483037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0970598814815669 0.0879818830637731 0.0267626316926052 0.0196822139395848 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.168068017270265 0.153348075451374 0.0825504389199887 0.0582809795299998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax KalogerakisEstimator 0.000757225329271646 0.000749184669914221 1.37148637182895E-06 2.06990296459371E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00359160409865473 0.00304034819200437 3.48764607340503E-05 2.70330001061597E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00555583189460482 0.00496875986115252 8.11978927941486E-05 6.85945953458238E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00991739403495749 0.0091505452835334 0.000257981354871185 0.000227201632706277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0286957222143924 0.0267450318354211 0.00218459820283281 0.00189576956903757 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0478639876132326 0.0446770726472676 0.00610800866967925 0.00523916139289519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00799215894828743 0.00739031209525666 0.000170811027226688 0.000148183288352686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0152755788188247 0.0142709626677183 0.000623993186820953 0.000540320959025007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0303469891476606 0.0282839587690045 0.00247227362248187 0.00209352650999674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0936530795156857 0.0864176189599546 0.0239144425773664 0.0191922823167492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.164668688723619 0.149292751002096 0.0754684597381261 0.0561995917509649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax KalogerakisEstimator 0.00131989863227368 0.00148860385682041 4.94220560241467E-06 8.72784727527514E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00367337567308851 0.00492417399962115 3.71118020030231E-05 8.24332201573284E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00534168644564392 0.00659008494730289 7.72500259875076E-05 0.000134458824500725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00902958332794414 0.0100724794067041 0.000218410348072784 0.000284146563337719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0253148209310755 0.0267233140978644 0.00171538599084465 0.00191563039451158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0420121865188264 0.0440875241904977 0.00475504891820571 0.005187661520058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00810595760903838 0.00882215900566637 0.000178981456225161 0.000228474099345623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0148008746687598 0.0153158626631513 0.000588153255957709 0.000642213719579577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.028819188485027 0.0294577557282424 0.00222918525064588 0.00234349804525712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0880001222036921 0.0901483789311018 0.0211962649800176 0.0216379311143855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.153246729229158 0.159511070287985 0.0660139406725163 0.0667042761822732 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax KalogerakisEstimator 0.00051767820785525 2.96725458453869E-05 7.97864241318995E-07 3.58085938802547E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00424979219898014 0.00205162753258526 5.61110357402287E-05 1.11936012402529E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00540853915753375 0.00403071372100602 8.15618475559402E-05 4.29518597176047E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0090036401660236 0.00802948999985482 0.000217499898623417 0.000169672876042893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0254509851206186 0.0241008804541519 0.00174187980519113 0.00151022165099363 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0423224340860314 0.0401798204251818 0.00486658135077731 0.00415612060522105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00731254232584648 0.00664753053134821 0.000144413108883225 0.000118418365888485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0135979888498863 0.0132701213588592 0.000499003342154278 0.000469632304137322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0266276796298187 0.0264765129726672 0.00192040467305207 0.00185307084609213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0802675803385536 0.0792712385233954 0.0180389936529312 0.0159597830518911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.138112801843784 0.134335626521476 0.055329598655865 0.0437304535909147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax KalogerakisEstimator 0.000220466535285543 0.000148891851241662 1.12366740028869E-07 1.07496663110883E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00272289787224964 0.00238631790490261 2.01315998482077E-05 1.59496070922167E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00498569346758567 0.00460759173839304 6.64323781076766E-05 5.80369765996166E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00969678971060487 0.00913780316253862 0.000252181140947341 0.000223885628704463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0287865162968176 0.0274296630161365 0.00229418567506538 0.00193766238127169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0478827698527051 0.0457057501198139 0.00654479762954557 0.00519901596441768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00815675989932317 0.00697574435425432 0.000174776862436199 0.000128000064738668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0162258775893776 0.013908488852719 0.000702790759847326 0.000498505425140075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.032503912383017 0.0277567034099043 0.00288455356607691 0.00192665458252031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0982754157466151 0.0844078960869562 0.0287050659638985 0.0157368790591448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.16717249238156 0.145430176384984 0.0902861367493657 0.0408153049475063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax KalogerakisEstimator 0.000586958601541509 0.000879666238649826 9.06301332955023E-07 3.28740606484067E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00314305767762997 0.00393487072852776 2.71507077198115E-05 5.63019523097322E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00518880340045378 0.00549691400409166 7.19913316307955E-05 9.66261203350088E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00966075382612735 0.00938826830900976 0.000249190611467962 0.000259322670126041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0283538641380126 0.0267017522083483 0.00217099003260748 0.00200406028267495 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.047345240336396 0.044540787814406 0.00610873650367757 0.00552591875236881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00770399964756373 0.00772628287863709 0.000161079380537525 0.000172065523833071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.014920965725749 0.0143792546123288 0.000604217324021583 0.000572415747229762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0295921890715953 0.028214696440136 0.00239824217740598 0.00216845200247966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0894540165953089 0.0852500656452942 0.0223908714406674 0.0193093272657007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.15345383858602 0.14624265654752 0.067358189929733 0.0560943305499029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax KalogerakisEstimator 0.000826087654405115 2.32200254167645E-05 2.82682364643696E-06 2.51870234133117E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00643803489405288 0.00284848274670502 0.000131705775056414 2.11774339587064E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00760841777203894 0.00560672541814033 0.000178881749218337 8.13668180112533E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0111962237216482 0.0111367051325842 0.000354889307605648 0.000319363503637408 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0297566389152399 0.0333952763587964 0.00243550237494782 0.00283591839892104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.049280313161886 0.0555931746009537 0.0067598362865028 0.00776647772880178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00984946822622284 0.00876734937423807 0.000275779642427373 0.00019964357516593 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0171187508183381 0.0174930898770426 0.000807567739935653 0.000790483368684132 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0329273244867507 0.0349545027926071 0.00299821975832974 0.00312931057051488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.100046749820196 0.105048473952464 0.0287794096575488 0.0272076374230839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.17154209338149 0.177513449686706 0.088247630795993 0.0742137558345147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax KalogerakisEstimator 0.00109312665663794 0.00128944912465078 2.7777550853628E-06 5.94173929803526E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00406916906361268 0.00423559274655021 4.55116659469766E-05 5.65118111183315E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00598351788521049 0.0061689608525299 9.51401581528233E-05 0.000112960540452378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0100796172022918 0.00995923276051822 0.00026931380034103 0.000278508618656821 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0281898898765103 0.0271024865219598 0.00211111899056449 0.00200574558370227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.046662218296146 0.0448539615725509 0.00581212164409304 0.00546910451767205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00868452866609929 0.00879284670843988 0.000204744451100527 0.000217304521408428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0159895426516545 0.0157966282875275 0.000695215579548796 0.000687489734094228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0312896302672702 0.0306886740838964 0.00268992725489589 0.0025673539023628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0946847390057572 0.0920637239091591 0.0250446416655914 0.0228184356114583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.162239374266168 0.157030973394147 0.0748374432960767 0.065379272839684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax KalogerakisEstimator 0.000977374336057495 0.000765304351961672 2.51654265673207E-06 2.14846386368287E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00420622190653841 0.00338853202275247 5.46425979723847E-05 3.37877876209908E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00605756936277553 0.00543161804215828 0.000104876802702158 8.21624484624103E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0102369924468786 0.00980670775752706 0.000289468547445886 0.000260183722192371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0288108457131488 0.0284817852280181 0.00231533791053718 0.00214789637905646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0478835910847844 0.0475881970427331 0.00643761403540797 0.0059429707415342 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00867542026396445 0.0081281497311847 0.000205292320520134 0.000185033539223209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0160793614629651 0.0155708637782405 0.000702237398105426 0.000666894892133432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0315613193026529 0.0308767024655847 0.00271517737587591 0.00259904084995635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0951316194313727 0.0934652050193515 0.0253165512701774 0.023232743374884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.16131747391689 0.160423828683189 0.0749209497164443 0.0668640495402354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax KalogerakisEstimator 0.00044306793412216 0.000418151865394819 4.49846132365397E-07 6.27102639917791E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00298206910515806 0.00291245932149613 2.46210282519832E-05 2.45033884796254E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00488828943355328 0.00481418475350217 6.38221928818351E-05 6.45843291166982E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00912876299530566 0.00901089956069779 0.00022290463226203 0.000223633145672595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0268425671937771 0.0265552236691838 0.00194090649850328 0.00193515370198671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.044852996576082 0.044314186632558 0.00545126285483808 0.0053521822658233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00775836060293573 0.00727419786596048 0.000162429681068909 0.000147142782517228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0151841588550033 0.0141284284503715 0.000628331261315771 0.000550599394609819 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0302312516084031 0.0281022469990754 0.00251469174975876 0.00217670312578542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0927223385634216 0.0851928900074859 0.0243151024959936 0.0198199406503051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.159769002245582 0.14619671274006 0.074167817801041 0.0573592359031281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax KalogerakisEstimator 0.000288258227482036 0.000472581231856573 2.3487690221828E-07 8.55446737832856E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00271920383003174 0.00330526071249487 1.97653667855002E-05 3.25906700018995E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00491405417795417 0.0052617737644128 6.40607954885186E-05 7.69716799813146E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00951101052115075 0.00980909559547309 0.000240953768742515 0.000261839432999947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0282541882702959 0.0288703907004753 0.00214305243801339 0.00223809815419635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0472189802418383 0.0481894403638053 0.00604069069899116 0.00619792767756842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00729737553379964 0.00748613209501427 0.000142666324775393 0.000152750829205912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0144133997895666 0.0145028011009209 0.000558318284808566 0.000564380697326999 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0287407335137294 0.0287455716907711 0.00223381762754711 0.00219728503836891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0868168319279024 0.0874942246306907 0.0208675218708098 0.0199347117444241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.148681400383904 0.150339935813781 0.062731303787136 0.0577533263153055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax KalogerakisEstimator 0.000635558180770369 0.000562529790338038 8.71117444797863E-07 1.20703842272394E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00331239284168283 0.00323691439754633 3.05912465411604E-05 3.12304623341392E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00516561156466505 0.00541501929048262 7.09734946507662E-05 8.34334927466112E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00936069555849052 0.0101508130396949 0.000232790897840924 0.000287798092719913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.027300320620929 0.0298578780723164 0.00200197087617172 0.002438719537185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0456121791084589 0.0497035287770786 0.00563187663388267 0.00670924740871779 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00762742847629563 0.0080971284097251 0.000157664148677035 0.000178784526531384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0146473354712397 0.0156251080442977 0.000584516629260512 0.000657163862794151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0290021125260511 0.0309798005069965 0.00231439235423347 0.00255949330468994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0876843843183555 0.093447798037212 0.021665158056174 0.0227665185057791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.149994149652004 0.159279059915561 0.0647341567783191 0.0649107448123767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax KalogerakisEstimator 0.00106210603938295 0.00134544888311827 3.02108010300075E-06 6.93555162233063E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00394773824820413 0.00483763847550654 4.45410558789708E-05 7.73850009336601E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0059770468736037 0.00660062195806076 9.91024410322509E-05 0.000133410137676691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0103044816255655 0.0102872291884594 0.000290707330585904 0.000297329236895847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0290774638044846 0.0277724518525489 0.002327241915258 0.00210330970800822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0483585406531618 0.0461413899636579 0.00647045897778688 0.00576224292706427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00806205360562083 0.00879236594230432 0.000176602082689011 0.000216762825536839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0149193617692788 0.0153802219502417 0.000598624800021969 0.000636664637165077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0292285183906893 0.029561003043327 0.00230785654554614 0.00232914486908802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0884201298846714 0.0894945958837075 0.0214377094353108 0.0210594385400501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.152925692983523 0.155136385896431 0.0654522145314825 0.0621877306082335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax KalogerakisEstimator 0.000495155314056626 2.16890520609365E-05 1.0203484218337E-06 1.65191829037798E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00418550809179317 0.00210247592496761 5.83748241841738E-05 1.18462709020033E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00512742767090975 0.00411630616020052 7.08583375923113E-05 4.51803303886052E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00890093630357821 0.00822144742735774 0.000208020175418511 0.000179636830795144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0255906269715441 0.0245765633332167 0.00175553916636345 0.0015921581592578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0426314462688103 0.0409374588907705 0.00493112661363364 0.00437563408292912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00759690910644736 0.00654697033831601 0.000150239156849518 0.000114731319538807 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0143929087626869 0.0130671407498567 0.000542139028013999 0.000455789041721789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0284473258167936 0.0261106196132965 0.00213939563769143 0.00180734955784268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0871856969016179 0.0784773554494297 0.0208717671102068 0.0158158257952834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.152442749257055 0.132887915149877 0.0663821521557407 0.043215773302979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax KalogerakisEstimator 0.00153731814460552 0.00082401664951933 5.30657856891407E-06 2.15923795623279E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00454353452897473 0.00383340095118731 5.25598143055347E-05 4.16269845287383E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00861785006754127 0.00742984695768639 0.000196750626140722 0.000153056863901001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0169892142187851 0.014727370559611 0.000790040532348403 0.000586621499341019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0504751476528482 0.0440186859445049 0.00750317846987574 0.00483026888604975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0837142659101218 0.0733840856968049 0.0217600652876497 0.0124635298646954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.013742301804034 0.0116572890730304 0.000515353390337354 0.000366292728113714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.027175952046708 0.0231458020757699 0.00208905954346141 0.0013931131691967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0537897411378433 0.0459060135550341 0.00861404375324123 0.00511805654987171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.15886395691922 0.140402120957048 0.0874841238859924 0.0366365859172431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.268541419530808 0.246791608675391 0.273425676607443 0.0946465154810279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax KalogerakisEstimator 0.0036307373152415 0.00415093975020052 3.11445378596503E-05 6.56733476469338E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00569369905330972 0.00628082587293946 7.99688990830081E-05 0.000132900241040162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00913430279485116 0.00969433206473513 0.000214258039774856 0.000293517251126456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0167318792445907 0.0173065091947553 0.000746812961413942 0.000883930398778507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0485502681537148 0.0493688346669332 0.00656508453815049 0.00683039995819762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0808061714705645 0.0816673557997304 0.0185424852318297 0.0183427045807152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0138012532726453 0.014357983525657 0.00051029300493992 0.000611733074524103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0264746225281534 0.0272166693200373 0.00193791167584608 0.00212074184315425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0521738734909717 0.0539130599779366 0.00775072229474752 0.00808844181410632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.156240251408705 0.162878501323677 0.0739248196665535 0.0695377602743786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.263625721758341 0.273528774318992 0.221678729408615 0.185796390439016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax KalogerakisEstimator 0.00501504917409882 0.00239076500869423 7.07036435625916E-05 1.94413770973438E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00727680081239547 0.00511321054194714 0.000147950358289095 7.72888687218767E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0105847848712806 0.00888902847944058 0.000308858138279229 0.000223403072435215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0181353774952089 0.0168384711529925 0.000912808906157733 0.000776751445809237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0510644968711498 0.0493937429982006 0.00750001702833322 0.00640214102165642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0848507511793446 0.0819953245653399 0.0212902241067025 0.0171079900464859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0148934516833093 0.0147767579232914 0.000613085648072741 0.000599011400810586 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0274440734595 0.0289835751473881 0.00212374100003664 0.00225055248907592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0535615099000622 0.0574931060981843 0.00832875229487205 0.00860575187439827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.160267686119633 0.170247468535864 0.0805732111559051 0.0693404241842536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.270993694592353 0.282614811249969 0.244429996048043 0.175276642158129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax KalogerakisEstimator 0.0052498811291436 0.00539252756465898 5.86572783471904E-05 0.000104647260807038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00707400842822395 0.00674843739326087 0.000116784659663001 0.000151118233439685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.010525798946038 0.00955095986593629 0.000274814831895972 0.000282061391383364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.018343496132897 0.0162108324008589 0.000878205978662134 0.000768437435713895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0515696280232457 0.045355924546776 0.00729430365093843 0.00570625462142745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0855076282535644 0.0753249233558735 0.0203961628281901 0.015410506444932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0146546285138257 0.014408018825254 0.000554283624169174 0.000606729743486542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.027211774384332 0.0262078262381408 0.00199605504424004 0.00192345503536831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.053159394772964 0.0509455668728885 0.00779739780496853 0.00706741708726535 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.157759219128853 0.15351580913728 0.0718720875395948 0.0606089631030833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.263757888191774 0.259396672533801 0.208941110944 0.165317801210192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax KalogerakisEstimator 0.00468588791210952 0.00434026809477459 5.57535342079437E-05 6.55464630538166E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00639611478313006 0.00623553182399846 0.000103463751456768 0.00012288848535553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00967664944162762 0.00972093247678644 0.000243250314134331 0.000282729198953311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0171157245782471 0.0174559935096803 0.000794155115181179 0.000875554488086488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0490216370532396 0.0502518068519048 0.00677243380047273 0.00692787356315452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0815574707332457 0.0836415636223133 0.0190035712671206 0.0187848761743265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0136279652111036 0.0151575816204831 0.0004949144553388 0.000654725690524104 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0253640375971215 0.0287174258499458 0.00176376362457202 0.00227114121957066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0496543764212036 0.056787485271392 0.00690775306369132 0.00861563134824932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.147495082770223 0.169981440270217 0.063564724390411 0.0737679662851476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.247103769441437 0.285177195447539 0.186696732844958 0.198817179798094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax KalogerakisEstimator 0.00365371796827893 0.00275122258312659 2.97012469669533E-05 2.66735851587114E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00558829621048741 0.00488873096139034 7.41212600761041E-05 7.39939701249995E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0089372449660244 0.00828358412547923 0.000201314347921762 0.000201036673541341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0164182193965266 0.0156079838010962 0.000712118402888403 0.000689296124548614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0479180023419893 0.0457471400939038 0.00641049594998007 0.00572443720660698 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0797587348797851 0.0762951582826469 0.0181464118564143 0.0156406197611544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.013728403943841 0.0128488064266875 0.000489311416809283 0.00047502539298497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0265959447327642 0.0249258853418075 0.00189942423187359 0.00175021960469251 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0528561671095518 0.0495111381123371 0.00770331269581161 0.00678497473314654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.159302235796064 0.147468109804204 0.0741912154343257 0.0566216111381521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.267915552130211 0.245183638181558 0.222693427882491 0.144899157639563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax KalogerakisEstimator 0.00257956772266167 0.00345234854646805 1.62476061193023E-05 4.21078431580299E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00473310619452705 0.00551907423217165 5.66907156822246E-05 9.64144337027217E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00821211323471832 0.00895555271791469 0.000176728343600158 0.000241925419393441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0155873265583576 0.0165313596883029 0.000655944462371254 0.000795361707668739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0461230147513904 0.0483076908100744 0.00592770772008494 0.0065113409457979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0766848812202148 0.0805001339479744 0.016710288937288 0.0176914881321891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0127203343191782 0.0131380989703756 0.000436552968681584 0.000487180966197912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0248976270940801 0.0254257071876542 0.00169621538397553 0.00176975358694337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0495840791883491 0.0504440304011479 0.00683244522344142 0.0068029252598761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.149197229506023 0.150259880104732 0.0648340377093424 0.0570510898086672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.248126585065985 0.249469429770773 0.189361010663169 0.1483770521898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax KalogerakisEstimator 0.00384022703049006 0.0038249944020006 3.51800898605788E-05 5.01073727527444E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00567946115021495 0.00581155261629249 7.75305885821487E-05 0.000107288835644726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00885004024119408 0.00927638429264268 0.000195229367957084 0.000259061774452181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0160135899962863 0.0168970370331159 0.000663101169498296 0.000823637476522092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0463341135389305 0.0490019174132277 0.00579374951475509 0.00665348790098588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0769863383283469 0.0814979057266031 0.0162618360812491 0.0180996481809747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0136583697173596 0.0140793185555432 0.000482428934670729 0.000569239386152865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0261619930887344 0.0269274172610985 0.00181749224272601 0.00201350113080679 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.051688874114019 0.0532843992227364 0.00725679788396847 0.00769676912409418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.154857155912563 0.159699844841909 0.0683808006295938 0.0655909693567338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.260101200306963 0.268628325267089 0.200152388410504 0.176508318860582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax KalogerakisEstimator 0.00506927146514865 0.00553917068728209 5.87566003102467E-05 0.000109758806763284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00656182008814132 0.00719438465839984 0.000103068899479981 0.000173929518796689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00961121179831123 0.0103343504332495 0.000231176080181317 0.000335128201579567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0167613308826764 0.0175423245525905 0.000733742496297793 0.000917360362347992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0479482384383683 0.0489853168864266 0.00629592165407827 0.00679969449374724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0796690700116394 0.0810107741377301 0.0177130293094132 0.0182082289799783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0147949709066659 0.0150909862039522 0.000580476614343068 0.000695815018034678 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0276566836679755 0.027781778434693 0.00210910045368029 0.00228874925589862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0541862730791208 0.0541828321486096 0.0082844589475188 0.00849282019835721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.162960859778542 0.161541911042043 0.078524976275925 0.0724721349321749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.273126704664223 0.269952754022184 0.228721598682349 0.195067928875153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax KalogerakisEstimator 0.00384413967197495 0.0015543135997778 3.46566731996462E-05 7.47240900506908E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.005657576737948 0.00378347576886772 7.56433135111376E-05 3.93638203625112E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00897712286310351 0.00696463896097872 0.000201187141253196 0.000129906923384638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0163099770198939 0.0136181361034415 0.000692598544265693 0.000485063715761856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0473515073858103 0.0406816566783089 0.00610834554911721 0.00416956719169049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0786146420736247 0.0678826143497824 0.017121812296335 0.0113177242471574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0136088973633259 0.0111895844201809 0.000472352752613616 0.000341987541229958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0260335619254131 0.0221998803334439 0.00178838837034836 0.00131817635925567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0512697176702998 0.0442594592900839 0.00717289577287199 0.00509979911815247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.152184319948685 0.131889528641516 0.0685144413855875 0.040972861471454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.253752254389404 0.221708808732812 0.205455620091305 0.103940374103595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax KalogerakisEstimator 0.00601780898649718 0.00390826774089329 9.47062782676328E-05 8.11181512789067E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0235780949270891 0.0202214879373505 0.0062871808706013 0.0208479487298197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0460187510259263 0.0404090912898315 0.0394368109788903 0.0752107193537728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.11743714508825 0.0814326917439906 8.20694783876573 0.323809093439994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.286819003757684 0.254356288661133 3.33114874410319 1.67339643136418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.466938479930935 0.427373093611971 3.9265018780302 2.37032876889597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0683048128506648 0.0627101928379713 0.0461556219733823 0.032537581547593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.133153718616539 0.128055051150857 0.186518031028498 0.131773717495539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.28533369905501 0.304692595905088 3.55831859545156 13.3136557302855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.13173558081525 1.11038364691719 86.4791778613847 72.1734522166392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.65915542104242 1.76577434431936 99.9486282857824 228.206854938708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax KalogerakisEstimator 0.0169139622106453 0.018008156696222 0.00105107462524763 0.00199301261079167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0299986924691599 0.0290109672550881 0.00676683846606211 0.00775213645734808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.085420272157491 0.0447454508047983 12.7584078245189 0.0227367937569249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.246721882608929 0.0856238212608094 205.189002856176 0.215174674980772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.247169505116922 0.256916147526667 4.90037262398645 1.86150882754948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.412757003527378 0.477814010549 5.18326413051427 13.6330728372236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0639829055381509 0.0621261244989275 0.0361445475730544 0.0391384924656664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.123858433860533 0.117066360442705 0.190357637600334 0.176400748402199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.1939550696218 0.243749202369231 6114.59803280132 1.4842545264952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.897912002176427 0.859242501361062 230.558647181413 61.8423593198512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.79370376313614 1.45774233672574 402.987305651898 62.1954740624758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax KalogerakisEstimator 0.014797417972218 0.0122961076592768 0.000774195284643309 0.000952850375163937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0280667281186652 0.0355975265816289 0.00805775906152845 0.180907373609673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0474729883303569 0.0612473766382638 0.0281881383397705 0.562361072737617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0922511542744148 0.116147441515815 0.150668882196161 1.79386555627552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.316998213137027 0.387426528601555 6.14986338716115 25.4627745821431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.627371048018842 0.577767727138715 72.2785436700553 20.5617288978427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0816770104825251 0.07679711507188 0.579949679636461 0.0875867379440749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.175058514542292 0.268847332913348 2.82802989238985 92.0799362645823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.370579394346377 0.459915279296579 15.5865558461905 62.074319512562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.05196234724989 1.18922060640953 86.6902954688614 135.748001694132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 2.11784689445767 1.93646179367755 1349.08448686489 122.052109249884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax KalogerakisEstimator 0.0226902582077746 0.0222796690597211 0.00153030250432929 0.0028275025250089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0316943134082014 0.0313999766725002 0.00382252937876167 0.0058966156961734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0453148828034398 0.0449934701217287 0.0106788747533266 0.0126208697770436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0787112888324167 0.0765953085424145 0.0443099165965679 0.0397193816337375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.228407154959045 0.221319880342048 0.632602203682568 0.453363579458683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.422776238025443 0.387119180729296 13.2734602646345 3.18851252917627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0662563147307561 0.0635849236000663 0.0235789417897817 0.0258553054638883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.327776179902675 0.29847657442778 342.926636668121 259.297610624091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.237590465957748 0.234751350929788 0.485011925578883 0.41028955413982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.807607147568044 0.800025989787076 25.1088784569792 16.3897406605277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.58300822735893 1.46266054625728 97.7122802358365 43.9398451646452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax KalogerakisEstimator 0.0198456358873937 0.0201711753308983 0.00127842409336641 0.00222883682724165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0305372156475461 0.0310785542090539 0.00405057168659327 0.00513246308902607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0446881014291778 0.0463710999237764 0.0104077798927518 0.0126419155628723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0766989163210821 0.080760983411559 0.0370925591856269 0.0447559159305885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.221554859221882 0.23736314891906 0.479746476014794 0.553931439660387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.506138474854787 0.445882638521309 61.7153933663985 7.15407351244198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0659655843805988 0.0676753086499366 0.0388748106984532 0.0468189228063517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.122714364545748 0.125289994201977 0.140654341173299 0.166463533004719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.253944056151473 0.247774773665172 0.774754104878037 0.699024492855128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.857421772006518 0.971818038981111 23.0581724050315 54.7307011010437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.66320977025899 1.79639644133988 152.398716978329 130.260557825194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax KalogerakisEstimator 0.0160690250816434 0.0138930332302819 0.000768222050224554 0.0011406253672517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0290689346745969 0.0238258840089538 0.00748785666352926 0.00432068033630961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0473442667333813 0.038674270164257 0.0296745264590628 0.0132041838390966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0876905775899271 0.072962289431978 0.132094196999493 0.0529451423049162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.26395822027843 0.282943949270072 2.55789273248363 37.1362945837773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.808417463681514 0.476453505427593 621.432181800788 58.9281076878221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0729105999041065 0.0577819990583082 0.270535770644177 0.0238042139781039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.150611183208847 0.117619006775535 3.51023688966151 0.418168690459568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.249087342213487 0.242766856870544 0.984109156237287 2.30921664947081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.977062096039115 0.805118532007889 72.982716494895 16.2768666125638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.5908025645781 1.45650952167085 94.0486336421094 42.2386513076741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax KalogerakisEstimator 0.0132305321622344 0.0154887142467484 0.000580254602318292 0.00128279572074508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0231261741735094 0.0285619578298171 0.00282361572775667 0.0255640271027849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0371180117596604 0.0479857064227913 0.00997003407064161 0.117334608412385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0702713104319442 0.0909160237346855 0.0835344201387877 0.604080106959442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.200558752923131 0.341154045478511 0.47148992016309 53.3823374358124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.357275036720224 0.481750352783852 2.75071300561889 50.2039048940148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0691894597921657 0.753428780838516 0.145952768321618 2188.31761734288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.136536550081908 0.372807413461435 0.722222341771969 214.568736695518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.322917524565535 0.339797259673605 20.5651706098173 30.7265997111837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.807079447131956 0.849345780145068 16.1498303471894 24.8738230431752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.48444120725587 1.48126460520372 64.0861697311 57.8667941977349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax KalogerakisEstimator 0.0192078326232408 0.0190699666716261 0.00124379375311809 0.00215794816446743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0338693334766957 0.0331367154618126 0.0545185898465727 0.0525788405133396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0533084125851807 0.0519038117639052 0.189348043802513 0.167648798882761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0924594102112243 0.0859503221360631 0.477966561675531 0.0696934092644904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.289443784323267 0.337846711800014 15.7113909995406 40.0174260512737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.483924473972929 0.715639159021628 9.86690448770826 116.457964307436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0833317134709104 0.111857041612415 1.09159632374419 8.83558436071566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.360085880930511 0.165032587485061 362.65776909902 2.39395373764337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.283291591313361 0.323204986426861 2.30843957859787 5.87852088535475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.942549473020344 1.10183467955296 37.660692205688 132.665688090528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.57724879513348 1.72303183159718 139.690549607945 156.364498699189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax KalogerakisEstimator 0.0217260263433054 0.0236608392852614 0.00129906522214766 0.00326419093056293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0329973597753033 0.0342565435637678 0.00804131766978941 0.00877597412553988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0489642748117134 0.0491450826279339 0.0312318291300975 0.0193981753467772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0836249857734058 0.0831952595332884 0.118601931561592 0.055522255528052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.272708060762897 0.26936115457656 7.26821554483501 5.19902069502261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.433900836463355 0.44577767281799 8.29738013667155 7.87778322112122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0682516473949768 0.0744616485133189 0.0364728543435832 0.22631710570162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.127713089710161 0.149344242072017 0.184699108490435 2.18784639150438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.272320303621204 0.274231040665483 7.13942757805709 5.99310516183213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.00607570526431 0.92967499821223 82.1761911427988 43.9642066908861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.35099407033129 1.53262714894233 38.1700123233324 117.321461090452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax KalogerakisEstimator 0.0144630118830143 0.00896026420682913 0.000682211013762288 0.000468761152376876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.027232517752185 0.0209778202148436 0.00502215727696441 0.00367796031569817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0447227617317634 0.0359577723420212 0.0178762557489897 0.0124175867948662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0848018687936675 0.0690739459701694 0.0988853010419149 0.0481344899062044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.249535723820638 0.219992142323729 1.33640871541317 1.48065015512639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.401747337412324 0.475339682764452 2.60656919394588 45.176910387758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0689758518924024 0.0689864593902211 0.101058477007202 0.202680847929911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.139607038699365 0.135715401104531 0.984516806125219 0.777129769457199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.271522154674604 0.264863417454379 4.85099402744436 3.40910615662988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.872115090719728 0.92174690909176 20.8065639435865 33.5830454327216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.61017703094765 1.68685182298534 81.3005347553254 105.694357522614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax KalogerakisEstimator 9.06679177835528E-05 8.37055667007437E-05 2.42748899054546E-08 1.9571938637893E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0143870636114798 0.0171288017750132 0.000553264376118768 0.000736002974189767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0287130704852892 0.0340698779490961 0.00228595908446076 0.00281260900626453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0572776160122301 0.0671015439223008 0.00980909458861259 0.0100684998675876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.179678054741327 0.19507587611177 0.116002213444687 0.063812876874417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.314789395067185 0.330851301241795 0.379436115222964 0.155781020693153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0474580390372829 0.0536022159471643 0.00657860814991498 0.00661832288732791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0953896830356906 0.104984549849907 0.0294707548954864 0.0222951888447369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.197381268462157 0.20905645122113 0.141642861973051 0.0717882902981769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.663213037065399 0.677832604593176 1.7667997479544 0.5533280604428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.19091868559044 1.20927240541047 5.83909762556178 1.60386868984752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax KalogerakisEstimator 0.000100639194102546 0.000104879770179231 3.27675015324636E-08 2.66125071957989E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0164692128339451 0.0159470800532798 0.000711738362303756 0.000661736863810567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0329266386154806 0.0318753921740407 0.00287972284834477 0.00261303051571884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.065819571234241 0.0637435612924173 0.0117815819845194 0.0101782658239935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.195745224676919 0.190031067722883 0.114815914673562 0.081071503982663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.322796051608559 0.313955164341654 0.344076346101892 0.196791397995503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0523137052811908 0.0512913860811868 0.00742741910090036 0.00671193446521263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.104489892632575 0.102403060882767 0.0308466656648079 0.025673552969896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.207214620133286 0.203681285990112 0.131364779781255 0.0929399167546809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.633664294298074 0.63170208292791 1.53949501795991 0.644965683917815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.14591033855576 1.14898991184983 5.40337009346943 1.78040795910904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax KalogerakisEstimator 9.72806062367042E-05 4.93149484659858E-05 2.68577655517392E-08 6.68104656634461E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0121740614987997 0.0121032130404896 0.000400445321090603 0.000377342287226957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0243355267868827 0.0242024322025064 0.00161844989850884 0.00148834883392138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.048612738476877 0.0483160350161733 0.00661985451783432 0.00576352705402012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.144387632272499 0.141721832455466 0.065185816055266 0.0429143766436125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.241434855909635 0.236417398672743 0.199095984469235 0.10262653199889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0397438773627383 0.0395523223470101 0.00443652069545569 0.00389342753518879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.079095156381898 0.0784254832680638 0.0183674151856573 0.0145494061070686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.156778796020936 0.153781424644231 0.0789596548956051 0.0495113267798454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.495291152536072 0.490717135641206 0.935395411792725 0.352809401148613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.891400394116048 0.888510763718152 3.18488072292724 0.990871004916712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax KalogerakisEstimator 0.000128717848961622 0.00013427619465929 3.67353482039909E-08 6.40282617481376E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0144326237346228 0.0156019917992917 0.000541892135140169 0.000627192866461216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0288433648847815 0.0311598604550128 0.00217335665079344 0.00249046998624559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0576650289879691 0.0622950549100593 0.00874178656988585 0.00989841396583731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.17317417843339 0.187205981002493 0.0806708274470757 0.0875025559750595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.28938987379949 0.313199660378248 0.230325405883572 0.239528605716249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0463875738224863 0.0504892021105546 0.00560759444724764 0.00655295417640385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0928569467977671 0.101022595864969 0.0226973374201963 0.0259999597518543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.186276450626059 0.202178450654443 0.0929424755480023 0.102495803946478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.570710154247682 0.617031415713743 0.937779991325617 0.882421325069225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.987897315052491 1.06023330445048 3.05340630729079 2.36380616418288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax KalogerakisEstimator 0.000107133002496829 0.000115267703317159 3.55464284200562E-08 3.47470738729167E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0155393170519932 0.0177478231827178 0.00064173339620974 0.000808807768991662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0310817726243806 0.0354805034556671 0.00258871007852884 0.00321040855753103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0621266394385755 0.0708706446277261 0.0105103997291633 0.0126026471161964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.186900323976701 0.211130055269573 0.101650509781088 0.104760877049958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.312394188129387 0.347466889124667 0.303606943535307 0.264293949311379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0508939330681056 0.0573287373276835 0.00692938333837289 0.00830964585536005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.101813882228917 0.114596971651227 0.0284834852005079 0.0324148447316644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.203954621525247 0.228050162055392 0.120697971299465 0.121914959458518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.628543432588596 0.670245362402813 1.38989856938825 0.831414340938886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.12647806641213 1.17028902373608 4.91598995495904 2.10616071845201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax KalogerakisEstimator 0.000125235721970733 0.000130737897984357 4.70767698162887E-08 5.18578627741286E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0130531528896864 0.0153350526407611 0.000443128606505569 0.000607263055245955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0260911675285482 0.0306636389141368 0.001776692993576 0.00241827737630568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0521846738624411 0.0613211784686073 0.00716490953014808 0.00960130873622483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.156618572527448 0.183906457533998 0.0667834399242171 0.0836711018043972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.261293704689159 0.306169511306675 0.192269666578041 0.224280443242554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0423250818873511 0.0494354117988959 0.00471359420251611 0.00624985947394354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0846646424934017 0.0988995033684123 0.0191274255722457 0.0246874077429154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.169250878832781 0.198169392094807 0.0786622131578113 0.0964999015215638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.508822066419739 0.59466123487719 0.805816092471641 0.764041843096205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.88339719616088 1.00786351416636 2.72005047472604 1.87645770249162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax KalogerakisEstimator 9.08073089070869E-05 7.71147437050035E-05 2.32404409115248E-08 2.10770304782043E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0157896524159138 0.0145705639844539 0.000646239325398518 0.000545294727872941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0315713224280142 0.0291325116673872 0.00259261124544814 0.00216944251841578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0631212559434735 0.0582212375288751 0.0104425362263913 0.0085925446854483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.189229599967537 0.174523679328655 0.0964947750747896 0.0747803146860584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.314979921933824 0.290911286283874 0.275580911814029 0.20073897915698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0518617563071695 0.0462892265918845 0.00700889862177875 0.00545632607087908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.103804239030403 0.0925758450427878 0.0284050103736902 0.0215376371522773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.207658118654218 0.18515832912279 0.116337075067068 0.0838950250386647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.625102880991416 0.560494241473709 1.16973266515022 0.674454456335788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.06677026501109 0.970685169603706 3.81691163653254 1.71036764957678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax KalogerakisEstimator 6.08920583725924E-05 5.07831151618062E-05 8.01977834383539E-09 1.00898422707953E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0158087689512012 0.0141586723024919 0.000645051269187619 0.000515817737269382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0315986118088951 0.0283113519207609 0.00258906391380721 0.00205254091903641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0631822083995205 0.0566251830065501 0.0104159774976936 0.00815246304756201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.189613577846591 0.170089134307765 0.0960094627267432 0.0716078987749994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.316498097288241 0.284641750406033 0.273788032870497 0.195034441775893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0507759177672678 0.0458099750742752 0.00672920066649885 0.00534752523221357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.101515657426642 0.091587941443048 0.0271455711937594 0.0211472398526897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.20299047710489 0.183263236642321 0.110517449813719 0.0829373261165269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.614222362802154 0.557347297492231 1.08663017143254 0.699067037849357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.04538462582576 0.960021440781257 3.43024332544797 1.83551958169686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax KalogerakisEstimator 0.000116187409466283 0.00013709743939972 2.32035142643394E-08 6.85368475238721E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0142335822019362 0.015536973436651 0.000519296426331188 0.000624488471466063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0284426153065527 0.0310271969756965 0.00208385011674931 0.00247885443207123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0568954536430618 0.0619866145900154 0.0083914952515268 0.00984081802138259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.171045573131114 0.185782834894026 0.0773743681543546 0.0866036977286247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.286114084667519 0.31023210408386 0.220726708968223 0.236709611956777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0468996519424069 0.0505581932961918 0.00570644049971508 0.00656417732142412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0938378809468089 0.101143622076409 0.0230423416957331 0.0260333138319171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.18781119278861 0.20273217038688 0.0938765320947609 0.102848241036224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.572873498755428 0.618151427726295 0.932888155117736 0.89449491745527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.985396035749388 1.06093810840817 2.98930749577353 2.42578050809305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax KalogerakisEstimator 0.000175950873660326 7.58015127023647E-05 8.45189238035107E-08 1.61617609530005E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0137920591660317 0.0132627937539515 0.000496287718614566 0.000452030908960188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0275793015928625 0.026523370583133 0.00199752831848023 0.00179946560565908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0551601110930414 0.0530381036444366 0.00807449872487678 0.00712388178833387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.165284456129463 0.15882235587545 0.0752690218827213 0.0612851232086761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.274927135691274 0.263739824272021 0.216524784313668 0.160965142755452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0433608480191107 0.0436257336134848 0.00495107759624591 0.00489326934891844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0866917256520643 0.0872039079926929 0.0200845978890676 0.0192515607229155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.17334615129802 0.17401955037017 0.0826673907049098 0.0742489866724073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.520715392819998 0.515755393773716 0.856192751704954 0.542911897045166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.90838136080486 0.89297847781141 2.91603993159758 1.32697515310525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax KalogerakisEstimator 9.05972615068361E-05 6.87509685483904E-05 2.89491124323648E-08 1.4336578652852E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0158138466680155 0.0156737887181118 0.000670861685737223 0.000617938826479473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0315670530497547 0.0312507012098649 0.00276531091775522 0.00236859438357086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0627096053607291 0.0619670915927484 0.0116812484021351 0.00857757208815942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.18928780135574 0.188310150841797 0.127442870352171 0.0582196259874669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.326480916751237 0.326402462053837 0.404220789289277 0.148461549088938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0510953633454328 0.0518779756845014 0.00753239575152696 0.00614975871954305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.101920110088778 0.103107490366358 0.0331306322958852 0.0210590992997082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.208611125187689 0.209831568595294 0.155769041477928 0.0696639917880944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.688930191020265 0.688449947742453 1.87366020885385 0.554537595252997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.21765664796422 1.21306014803712 5.98336954367673 1.57332996516012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax KalogerakisEstimator 7.12284221786143E-05 7.01315565996014E-05 1.92717503829841E-08 1.45654742792318E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0134101936034871 0.0124546811715457 0.000471797332599768 0.00039752280454197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0268290126224985 0.0249090394145288 0.00190242933872174 0.00157640798189537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0536496722646113 0.0497729546457265 0.00773310742592525 0.00617913869084878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.16022885072553 0.149032824377408 0.0736602868845423 0.0510748931816294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.264645560148451 0.248095145909511 0.21539849979473 0.12920710428617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.043184391520574 0.0402468068214231 0.0049817584720977 0.00413529234686117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0862181971725792 0.0805603786053566 0.0204175669215463 0.0160450491203815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.171221549898146 0.161377864845589 0.0852293642590009 0.0600918679144581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.512111184184453 0.502276300236409 0.93130836647238 0.43522130292623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.912459081278343 0.910524386605083 3.23026047677728 1.18530630608567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax KalogerakisEstimator 9.40001635153709E-05 4.18459174880089E-05 2.63900359374406E-08 5.02372877119006E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0135012376592516 0.0160716416493165 0.000485787118607578 0.000658286159170123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0270034415288382 0.032085674171668 0.00197837944372037 0.00258192998279051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.05405288680311 0.0638209568893369 0.00823875899982895 0.0098550725650693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.164536929982235 0.183819953294707 0.0880911533988012 0.068735403767407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.283086076159741 0.303331686213651 0.284286049597932 0.159812971355506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0434260378583524 0.0518355868410587 0.00527835916143 0.00659578486905149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0868976875159301 0.102014492731449 0.0225717332979521 0.0238687090680038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.176732729637559 0.198990386783029 0.104275252173047 0.0782898590692924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.589443529537901 0.615176736819211 1.34500099559919 0.527845631160887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.05256754422463 1.07751628506404 4.46513988918282 1.41905076399729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax KalogerakisEstimator 8.15863420708899E-05 0.000129266529949533 1.33521340124602E-08 6.73716834872216E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0167896828973891 0.0171684463581014 0.000725880601266243 0.000758519530452348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0335427270455658 0.0342914255555271 0.00290832790127354 0.00301430920730508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0670802006321201 0.0685389594576134 0.0116920764786711 0.0119685532198242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.201321544438177 0.205501258888317 0.107403417075778 0.1052916420335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.335659144227683 0.342457504134071 0.304365868160523 0.286386053996715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0527151886465658 0.0564574672191955 0.00722154593752182 0.0081529054239264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.105475209752644 0.112881558697508 0.0291587514126183 0.0323348346444519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.211028969068061 0.225782955632044 0.118740168661477 0.127202977961303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.639074849945548 0.679788676974755 1.16875313063278 1.06936516036284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.07663480910864 1.13678278647173 3.61548962022693 2.69559303888114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax KalogerakisEstimator 7.75105883240102E-05 7.14654727729571E-05 2.17226546033236E-08 1.57172450233722E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0129285197310235 0.0134226789346949 0.00044233911560675 0.000468896465953192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0258461857427866 0.0268423523524049 0.00177471842191791 0.00186596757995235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0516697728248767 0.0537000607347008 0.00717127974643288 0.00738316593789666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.154766081024277 0.161226868180817 0.0671400239861585 0.0636249275210658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.257097375261207 0.268567470839295 0.193741019054667 0.167467459210209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0434011188717759 0.0432636837479366 0.005009132626116 0.00482316851895378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0867443019208862 0.0865317978428478 0.0203675532197164 0.0189391839287617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.173446644669667 0.173065428230087 0.0843855540280866 0.0728758371916654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.521222361688372 0.523790310805549 0.888373553712383 0.543819257484596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.917592211721015 0.923175255209746 3.05352110459651 1.39535836266505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax KalogerakisEstimator 0.000129217645453776 0.00013114955241304 4.76495937198109E-08 4.79764044701245E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0153966756426429 0.0159839589709098 0.000621612056530132 0.000667284189875579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0307771528999382 0.0319566014202958 0.00249379811687608 0.00265743175975328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0615126321522204 0.0638940224641179 0.0100439714206499 0.0105351143175568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.184152271218491 0.191194335312 0.0929747729101544 0.0911504927316918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.306310472538374 0.317789345315457 0.266014468551959 0.242280001262373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.050797331069607 0.0515835823573324 0.00683148067764903 0.00680486596627744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.101469021022926 0.103122518415133 0.0276224893811681 0.0268009488220258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.202551791335888 0.205832427377102 0.113014703389842 0.103608720079703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.599155071031551 0.606843223223157 1.1199331862813 0.771272810082654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.01844512125404 1.02656925527078 3.60638290333404 1.85010670458415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax KalogerakisEstimator 8.27280571758441E-05 8.86418934226558E-05 1.93437140839884E-08 2.68558655805408E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0161382386814057 0.016487373627627 0.000677293682606006 0.000702170429818286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.032258620729347 0.0329765138524427 0.00271614999480248 0.00279630116331084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0644935004335566 0.0659587337628136 0.0109396680128086 0.011098055161126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.19324076435851 0.198053682246906 0.101210245467788 0.0969520497368149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.321708248139524 0.330899267401079 0.289346442879578 0.261591324876229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0523018465615474 0.05243650130991 0.00716928370095339 0.00703237812638298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.104609456484499 0.105039115666196 0.0290647125037292 0.0278382697550922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.209067076173174 0.210963011604504 0.11899713054211 0.109387217156809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.623037343828733 0.639679615691261 1.17280923380075 0.883676963789069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.05723008268778 1.09063590917742 3.75878495613253 2.19530534705196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax KalogerakisEstimator 7.07120373750072E-05 4.32311190554248E-05 1.82594936032459E-08 7.15928626743826E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0176788160023644 0.0171524771712963 0.000805860971324073 0.000767712790440309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0353394713554682 0.034283512281035 0.0032336608025952 0.00305618393071946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0707101366989047 0.0685937878949539 0.0130135807204959 0.0121494506553751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.211872558490377 0.205758368649125 0.119305893375907 0.106742891742448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.352337282905177 0.343403668933088 0.337586538054984 0.289778847245018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0549261400607728 0.0558307662606592 0.00787395833314157 0.00798245766196947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.109884977204151 0.111633398432049 0.0318069009350145 0.0315671398121085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.219566226636606 0.223161018892558 0.129345428776469 0.123749713884714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.65899247301676 0.671370225001534 1.26070158626765 1.01984414499306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.1077623242417 1.12808196370804 3.90392692935618 2.53499639005692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax KalogerakisEstimator 0.000104193605965898 9.55500598318662E-05 2.78715682480443E-08 3.64960276095363E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0167462413501791 0.0169223800555157 0.000730155408578037 0.000747388996839521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0334496741593444 0.0337997215994537 0.00292384344983176 0.00296557920054057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0668460723082134 0.0676009120622849 0.0117370852571623 0.0118012360647287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.200449247183473 0.202785077330212 0.107489938242372 0.104219796191975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.334187489448895 0.338383823712411 0.303995337450854 0.284482240789567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0547783735381589 0.054417345815677 0.00780833272420346 0.00758821814788772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.109578466703498 0.108768001538189 0.0314844631236397 0.0300999646761032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.219293423863568 0.217665427980618 0.127953535624814 0.118753580103285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.663553950970089 0.657572916648981 1.24399529027766 1.01384712950443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.11723455424386 1.10543676189306 3.79925096431318 2.60850598712454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax KalogerakisEstimator 0.000209456895542479 6.26414022880247E-05 1.28643521163511E-07 1.14429991221705E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0148634791152584 0.0141918955146273 0.000572504829478503 0.000524409352484407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0297125214769624 0.028372979042531 0.00230207822284179 0.00208551023553963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.059377004345781 0.0567130267265108 0.00928884190503023 0.00825244290160427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.17787990224757 0.169547757684974 0.0867362812548286 0.0706528643138563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.29589566103429 0.280943004275294 0.250084667716297 0.184281208539598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.048520605308267 0.046327283165828 0.00621632386552585 0.00552220170848944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0970378544121258 0.0925982438918597 0.0252632479152139 0.0216812747603283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.193854115967263 0.184728543120688 0.10386632575181 0.0831403752253886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.575517010441594 0.541831352596501 1.05728341215522 0.58212592383825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.989410175454127 0.93589465191189 3.48224562765702 1.40885851062387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax KalogerakisEstimator 0.000541959997678428 0.000490451809305005 7.41579322831488E-07 7.85076108876002E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0269300332741624 0.0273292761489666 0.00207746708504973 0.00181659599710306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0535200993319692 0.0539588019983001 0.00889105006625541 0.00641567909691378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.107848040170497 0.107704680530065 0.0405833556019938 0.0211800391861167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.350250605082078 0.348351129385833 0.494783163243781 0.152316422392508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.609913587055124 0.607479444440953 1.54182846849734 0.408518297757712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0854958040207717 0.0861501429012826 0.0247190945868339 0.0146013136970336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.176281300804601 0.176942152068553 0.117960441706528 0.0487125851250803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.375153175784253 0.375799631724303 0.573292478897365 0.175101368918712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.22472536842379 1.22702826755901 6.37047010956321 1.50733514463021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 2.10523208012128 2.10861927634662 18.985700934541 4.24046645971299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax KalogerakisEstimator 0.00254720927876126 0.00195176465719068 1.36004653638457E-05 1.22559123411546E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0231929339441613 0.0229906134428934 0.00142240748621769 0.00141724772392515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0461100316484919 0.0458422284685638 0.00582079331911467 0.00547639704845821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0919375056527909 0.091394309680412 0.0242306281456009 0.0207686172294532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.269273531629649 0.267834814830866 0.24495161247392 0.145189972534246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.45361324397467 0.451682029698582 0.774340473119221 0.346197267176389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.076902599666304 0.0733702447247628 0.0167235153479572 0.0133512051664753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.151859406734083 0.145988957367736 0.0700001032244645 0.0488714158276468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.297393588580565 0.289923966154832 0.305849975080332 0.164155263428756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.95142154677387 0.951801439643979 3.73678215546044 1.21698556512143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.68687760665288 1.69646280053819 12.1349794043075 3.36884069352132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax KalogerakisEstimator 0.000707092979806615 0.00130711120497019 1.44394159401013E-06 6.02444919785369E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0214579197968096 0.0269695184376652 0.00128088623929219 0.00190165344929072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0428599780790612 0.0534708222286086 0.00534429602328559 0.00714367573758703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0861965582121452 0.103968134869007 0.0236022046828699 0.0245675653970453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.278698270221708 0.301415974065717 0.299623453348322 0.147766978447462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.496117137391885 0.51545881364745 1.003047517109 0.359972112459074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0695235155171297 0.0842122877203371 0.0148454031060892 0.0169732396379746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.141739672760451 0.162626544460482 0.0695274685782714 0.0544293752550054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.301754018009299 0.324111501138912 0.354730692224653 0.17070711228467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.03744291230754 1.05267978140023 4.55821658117378 1.29224690105031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.82574080562756 1.83778160366727 14.3198318986031 3.60294255887714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax KalogerakisEstimator 0.00571813877470225 0.0059391137073926 7.75154987834909E-05 0.000108710151563207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0288129445625628 0.0289124657923472 0.00213742227932556 0.00227736083957036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0565557616392396 0.0565182113056058 0.00839384731511915 0.00851960344671074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.112599207392074 0.112260886068203 0.0338795992242297 0.0329798389046059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.337121835325471 0.335485448975031 0.317965608600992 0.28070077161025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.559273364840299 0.555527560186286 0.9126672967764 0.731486318863019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0896984375358135 0.0895389949782889 0.0216471431017284 0.0209700577097159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.179048245127605 0.178963791384338 0.0880864132159126 0.0819091972675444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.357882214824378 0.358004080372769 0.363978881968799 0.315032885092273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.05562202785064 1.05891537439662 3.64171204824008 2.27710194163165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.79049607822858 1.7934322706411 11.6766069757336 5.44281855948553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax KalogerakisEstimator 0.00278296825144116 0.00277213219708752 1.82340455503282E-05 2.42021302139698E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0231747561997328 0.0247831546017445 0.00142441183875256 0.00163372732186875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0459599957870563 0.0492557245065702 0.00574339996857564 0.00631172256734275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0917096614378009 0.0982437343250852 0.0235886936691668 0.0243412625477599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.273475258019832 0.290033514242108 0.233003225828515 0.187639997783268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.455421925663029 0.475237404742079 0.712498681974491 0.441920368114609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0735015646729463 0.0798581306139989 0.014923288183107 0.0163973273775339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.146612169469744 0.158918270898576 0.0621948140353584 0.0619960182926401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.291879924193496 0.312918406080701 0.269183018960591 0.21666602707575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.927412299059003 0.954834452772042 3.34002532655949 1.40889217151906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.66112637077844 1.68639940838726 11.3549554575469 3.69393808363514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax KalogerakisEstimator 0.00330008007891727 0.00354684197959744 2.6140163780227E-05 3.93926631417034E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0256849113711581 0.0266557048421746 0.0017297159067306 0.0019361369666555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0509664396870864 0.0528086477420855 0.00693607512359746 0.00743460109446356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.101677413133065 0.105410342467408 0.0281914189404178 0.0288802134773102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.302849619707512 0.313023500967296 0.270228812532003 0.2331003528848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.498823585910495 0.512580932069494 0.796688510443865 0.562067370497604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0824213796526871 0.0870011703509222 0.0184912220712401 0.0196662705315449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.164451533630248 0.173332876133213 0.0760421362965797 0.07535383225235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.326380413392031 0.342113758841704 0.320294615165241 0.271947995293308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.993577082293975 1.01143401320726 3.66031811409668 1.72528820042727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.75765932247268 1.76986563121947 12.3449539347717 4.34936647063512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax KalogerakisEstimator 0.00350767809375457 0.00395403865116806 2.86669109065783E-05 4.72737760649252E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0280135194553361 0.0279667685006696 0.00205604819696987 0.00207747695973953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0554984088911038 0.0555991407483555 0.00822188499225568 0.00806391157749219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.110621863800808 0.111064634105884 0.0333473480174772 0.0314300447677822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.330392995189617 0.332181368689898 0.318015371803729 0.259692897335659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.544768107800733 0.548183542164097 0.926432161596014 0.645960191190563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0892305981236119 0.0910236255102128 0.0218034007978551 0.0216501499409597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.178217527345796 0.181459106626464 0.0894967100041778 0.0835113062669276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.354599725405718 0.360025379572467 0.37322774416296 0.308253871557653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.06539344564579 1.06974377343546 4.10099311341677 2.0355351785024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.86843482290392 1.86088968173585 13.7281871939954 5.07913423481902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax KalogerakisEstimator 0.00500845648676888 0.00488632204537233 5.9541573273605E-05 7.15762113677332E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0295733014619455 0.0296098661019355 0.00225003611198035 0.00234028133762703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0583300961037348 0.058524280503628 0.00889108893500318 0.00897655960941802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.116307847053155 0.116664335971951 0.0360808688101636 0.0349786590716883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.34717893847947 0.348290983032463 0.339655939820945 0.293402589782798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.573423830567304 0.576339534132035 0.979093839306995 0.749482960681173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0924144927246018 0.0939382058567905 0.0228614510430275 0.0231065380167414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.184489077669192 0.187282113531137 0.0933259238181844 0.0896087669656224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.367754709655314 0.372791000666007 0.386028998455756 0.338601416511094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.08147942168012 1.09181991173734 3.96538163796538 2.29409065529726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.85691518582593 1.86744211239033 12.9993108916612 5.50547840896916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax KalogerakisEstimator 0.00624098935742995 0.00624406943285866 9.22710323011885E-05 0.000119160727364813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0292731594503131 0.0293349971798435 0.00220442962553613 0.00234866496574203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.057446753268864 0.0573606803790253 0.00866403336047246 0.00880364369504047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.114397476112153 0.114001222578304 0.0349362339445551 0.0341670810409441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.342521921358461 0.341168281632828 0.326402989051321 0.291911394730755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.568202223701322 0.566458209706159 0.933124463795589 0.767427394305703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0938528725830666 0.092218634337141 0.0235022803350717 0.0224080971700846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.187125263073347 0.183792243236056 0.0954106023386093 0.0871006286098925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.37345726870128 0.36666846023003 0.392512508396935 0.33380585403947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.0990344168864 1.07952499833375 3.89993378427769 2.42145296871719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.85037618787655 1.82220969863968 12.376595096787 5.78255376873612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax KalogerakisEstimator 0.00368964440566381 0.00180132301873334 2.93323499963611E-05 9.39791406370258E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0274479136964626 0.0216420635852364 0.0019543104975935 0.00124171258258913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0544271195163993 0.0431352544223196 0.00789467338220188 0.00484272814378001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.108327555325659 0.0862622004432406 0.0321652283874266 0.0187901932710225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.317904312856311 0.259005996032293 0.302141727372622 0.149093347760625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.515050194457755 0.436620739268382 0.871038762090737 0.368135860407791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0876686542547566 0.071679960139589 0.0207275387297034 0.0131380855105265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.174317831607392 0.143327641881889 0.0849393231522313 0.0502586557649458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.342090433127159 0.285726741502414 0.350601014880095 0.179895664750444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.995047922670823 0.924873688750676 3.72487538205236 1.29037280926484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.73330569012733 1.67503266496372 12.1341720803538 3.5271732237639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax KalogerakisEstimator 0.00322425855672932 0.00302236985930379 3.53852509637743E-05 5.56354298893353E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.13326856011314 0.132102248667459 0.620941667299608 0.231492120585358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.277966688461972 0.275988862735543 2.83407487672405 1.07056810606028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.589016433735838 0.572845152330863 15.924010155057 3.58282484588796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.98265772604954 1.90673040706826 301.083985454573 189.572094401261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.83936488080325 3.24181696214842 11163.7308434064 308.733654266696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.437183304807819 0.441056090312212 3.63553756163507 1.64028491739089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.955420746761531 1.85773125521828 89.10989908116 27752.0924709649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.96523159051492 1.96788699765366 145.094049173903 69.3129554758149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.63133245183665 6.62272084573385 3013.19244482146 1588.58831725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.5592139163526 11.0040597414196 6542.35595374208 3340.0832309425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax KalogerakisEstimator 0.0102487783419716 0.00877779268594874 0.000311605053937272 0.000421091879472426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.11887167584965 0.111376788698419 0.262591842000024 0.110908211595983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.252102139213406 0.23081951813848 8.21804516173541 2.41297049933235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.551108064767664 0.479108559378659 172.122792993677 15.5598648584123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.75490822213392 1.87985488170108 319.363733570658 2141.03020093448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.37300520340985 2.78266177877806 1749.72896159035 283.52040022312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.39959842643729 0.35388639063406 3.72356078855013 1.13187695361147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.864703052875824 0.891497427086786 79.5500103001269 238.32067119537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.78303772744514 1.86172282140174 129.938531861348 682.592293928437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.0509346357479 6.19746539857607 2443.49085183412 1678.89700038285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 10.2052639737619 10.7979693889736 2596.3997060387 5173.55436874473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax KalogerakisEstimator 0.00388080801868914 0.00662256854744976 5.31089820730224E-05 0.000261776904327167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.109794294460511 0.127070972190644 0.203078673585984 0.227611240433909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.232586192311842 0.252343913120089 0.871976462553047 0.894947991760655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.500777444551102 0.516168550823591 3.89339445833331 3.76252356530773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.75931461976513 1.92827894194928 144.31609284309 891.494114536161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.927655497426 3.00847792378339 222.228948165521 368.637502041969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.394290605452473 0.429435937860366 2.67355128345763 3.3061884857918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.947772479915833 1.03577779275919 416.238385464169 785.319729217122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.8475516426965 1.82880033168265 145.233698335571 66.9566002397666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 5.97305681437229 6.33917494754379 964.343594728604 1904.50026481762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.9429814348016 11.2628126159758 10657.8517072655 4221.20454590556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax KalogerakisEstimator 0.0352389295103629 0.0367265636393472 0.00378400350882865 0.00730881741811148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.139975947071506 0.150272090849574 0.222734209351956 0.416261642894628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.268031883357755 0.288070344101309 0.908582793657407 1.7843612618042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.548834986613866 0.572375265772965 7.74296679929627 7.42114105651746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.65288137281138 1.70056029095461 53.2967128581262 51.9886635120464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.14153891760422 2.99888340761645 906.860435539167 217.968736930353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.461933800883768 0.454168666950173 6.31162753500282 17.7247780635153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.950332239206282 1.15646224567039 41.4179869022375 2862.37631090299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.15081137015387 2.1972494885462 1536.37392052875 1662.85227810709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.58982550373577 6.3601331075867 2042.27347893568 1489.27670014075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.6141369028805 11.3726290709627 5179.15618924619 3969.16452329267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax KalogerakisEstimator 0.0136245906576065 0.0154359393312514 0.000553586574526554 0.00134918660726563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.118979226630281 0.12037582759596 0.185010951228587 0.12378601431236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.246710350555587 0.246762343511512 4.57104781653445 4.11708877366908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.486167879135024 0.483741977534683 4.25201553334825 2.69612045055124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.85818372776442 1.6288159439749 1378.85840052119 93.9830861124964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.18688733523134 3.17906121176424 821.729942252423 1130.37807488696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.389461644885345 0.388490421183968 2.2476166425352 1.32879472714636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.809342143438758 0.795049740830707 9.88846956150408 5.91233676713146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.05593066374986 2.04582419045127 1209.64728595351 1636.79884806786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.50631178691802 5.97761355779377 2472.37769208163 1097.14469453095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 10.6255188839169 10.9676880983774 3392.73360802309 4634.70329936217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax KalogerakisEstimator 0.0194097483695059 0.0207339894487524 0.00117370189157586 0.0024259626895416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.133117872817983 0.136305081851892 1.57241509921086 0.360567918170396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.26295968109985 0.27157061106015 6.49282783202622 1.67511751407084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.543311512799762 0.549597674456225 40.2809408115737 9.42158142934462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.77983556679232 1.89693101481184 529.014993246091 410.126227046699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.98665674086358 3.04534152487203 561.795751392319 367.506997875284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.463938126047957 0.533638597171789 22.044087492818 389.396048273292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.91273047506318 0.904269541592492 42.6220249732196 98.6199460911401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.0039918322922 1.88594483770373 413.538714383668 173.137531658775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.61115957547277 6.36643293329287 2278.94634721704 2167.87262648033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.758077830699 10.8582031116329 4725.29538178046 3943.73924709204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax KalogerakisEstimator 0.0220488447132635 0.0234322939717615 0.00135284690523944 0.00294736428370729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.127777934953855 0.123938433393593 0.495682096245934 0.0978252833359866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.250411724629445 0.242311481441315 2.16179680229449 0.38144586971734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.502519406737968 0.486326788730161 9.58572005118346 1.58334552614879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.88385026477824 1.60852038333539 1419.9786119012 77.2915237231456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.94753744391339 3.05283297770093 485.871302664473 822.814098036701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.400084025701399 0.396776951309835 1.63848519325719 4.00436373770212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.824469019884301 0.811187183377186 9.59329379803615 17.9781572696205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.73498454734162 1.7258440743136 115.7102624438 163.24799904168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.69701171698514 6.53355543947473 3020.97914510137 3885.62252160738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.4108175638556 11.0311620649277 4492.58451158232 4149.80504533563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax KalogerakisEstimator 0.0306448538893078 0.031232946162541 0.00270441906352136 0.00522238002312414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.149997965039195 0.144718393598739 0.88780656219278 0.305511087316948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.283065663759507 0.286997675125303 2.24736092737256 1.53017130578544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.593481103172412 0.592887810957326 62.9361002986185 19.6795152648721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.73069355329021 1.82319021247487 95.5595540260437 85.8042974805782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.21494238832342 3.85540606318071 940.009361940274 8545.96703401015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.468957699743787 0.454688389548025 8.04536780301632 18.7901862626396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.945716391536051 0.893786504045346 22.6743696824685 15.5867645648647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.14049212095925 2.08893134382431 538.434889941057 706.361371049595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.94429333819279 7.05542199903415 3052.21337419963 5241.94510284609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.7382597868751 11.6171877794888 3460.23052389469 10450.598693688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax KalogerakisEstimator 0.0387744823169067 0.0391202897033798 0.0042621036687835 0.00830113427489612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.134771991175747 0.137600259123137 0.114089199623242 0.171068247971387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.264316859141343 0.259984825921587 1.58042053334981 0.624009244369208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.526903711074313 0.515835961319384 14.6468658288289 3.10867613054471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.73977554502236 1.69534032030419 216.561950668214 239.378460802913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.19884441059281 2.90238899512629 2058.14502595124 342.000677829952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.533723140461519 0.488170912200189 326.242440437996 67.4112638806812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.871516269409918 1.30083978476395 50.1165313337781 6609.33020912886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.95082775422439 1.88614390366207 1048.39017735582 103.180338444947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.64445717828696 6.80939031355734 4983.3665574566 2790.7470717133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 10.9332442422563 11.9618785030095 3862.7464018255 5213.33689687165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax KalogerakisEstimator 0.0194021721255157 0.0107544107911572 0.00110188603720046 0.000563362058338427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.142395701597628 0.118892237113634 1.00325760896527 0.677692620760925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.274484396193857 0.240781930756249 3.39279660431777 2.52924580307049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.554366906668673 0.543169145794486 18.6246576955706 84.9663918275483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.65882798896529 1.68278095026614 102.852314402214 234.345909321286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.92763038306371 3.0458424212525 425.473135586969 605.180711810805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.457312288633372 0.406534091478417 14.6368664783416 26.9827603634966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.933508807454616 0.919740497447948 70.002781889103 610.150774766277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.05344792800958 1.78442965009903 548.271685766663 264.96225310027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.49128867018111 6.39918856831122 1609.08223757574 2479.09431933884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.320809364676 10.8198192100179 5352.78651228385 4712.31040497373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax KalogerakisEstimator 0.160573747079692 0.161000069772686 0.0869532820460158 0.14024849985618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.16298912121057 0.162853433450486 0.0896583874212594 0.143109146576029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.16751213465016 0.180394206519751 0.105078708511143 1.19909455699786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.185227305380749 0.178615034679119 0.373126230821321 0.302740083738505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.233289034628534 0.224765924312586 0.899206426957611 0.555267585016231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.296348877768019 0.296441359559005 1.85023184096224 2.59310901285512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.176690906718662 0.193508860470752 0.19729551351148 5.52918233936475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.202794565656946 0.214486744778988 0.546051384685561 2.97047203071615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.25507732779983 0.245688789887804 2.35744971109827 1.57633774180194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.410562484094918 0.396451139524769 4.02390230139949 3.28876604269097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.509907679841793 0.486785084873617 5.7424834414105 3.57843393961907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax KalogerakisEstimator 0.446939074002348 0.446367710629949 0.544506295596135 1.05583762931579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.455719232604722 0.449866041238452 0.60726047071352 1.06973208287563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.459069051967079 0.459616308563779 0.616427950079828 1.1683994517483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.476116259762458 0.472822902678923 0.861217112883953 1.27826154291925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.574097996172737 0.540078960519691 13.6811974931797 2.30036822900314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.581311704657584 0.636510685280537 3.85228133300943 20.0403893799716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.482578973304475 0.465262507269634 1.87955081722217 1.13536812830702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.494134728858424 0.496159363581289 0.952969542754477 1.51348807354162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.547182725930428 0.569030491721702 1.84953124653649 3.51820356866479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.720839870653534 0.70814991611268 3.77567766946128 4.17587006073982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.895128921313803 0.832418592503482 11.8254464331628 4.64651975644825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax KalogerakisEstimator 0.0857372138746587 0.0859385415099129 0.0644251399395797 0.075312094550661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0940453042572939 0.0935242442837943 0.0722457133893515 0.0786968852378542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.116737845703148 0.113083629696548 0.252770375270237 0.298206323934129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.173864985222389 0.146233952804698 7.64602499621618 1.41595185174437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.243535553448538 0.236834700173065 3.63090620168776 1.7242299735085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.294539452439628 0.324325543053218 2.24875442767455 4.17003499747413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.118133362293701 0.116244792281235 0.179046843039365 0.162489499717479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.146454295779179 0.152016679843375 0.42082919000701 0.798841752305588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.212242404447834 0.210899142164772 1.21064881990627 2.11265988254954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.431649790226958 0.386649211217356 5.33278885748916 2.99055512059194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.53993446555673 0.527304048138589 6.6547888306803 5.25631322112902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax KalogerakisEstimator 0.097070541611475 0.0968808567586843 0.0579300364801689 0.0830306335415833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.111259838938675 0.110744718305882 0.419384993797408 0.304950179020029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.111165033819522 0.120974281268289 0.128326772602152 0.463661000289862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.131921851829916 0.127677890460259 0.517379226247495 0.336892302721806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.223761424925686 0.227179886785877 3.71165820611753 3.09711863339457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.259043660875038 0.247891840236837 3.14403556701917 1.72332972848823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.117314051687007 0.12032870058003 0.103313755737052 0.25529576227457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.14631862305404 0.149320776135229 0.343528026880063 1.05297783622301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.206269822818316 0.215140250130224 1.95830349322584 2.32991922408504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.364470805873381 0.397443175824528 3.30399108642916 4.44912532088185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.488087570805803 0.512319415737266 3.68938975168247 4.26936613995878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax KalogerakisEstimator 0.205268723008896 0.204184678138982 0.082239423863704 0.191245249999181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.212178819115766 0.207926227495201 0.13482504395158 0.20112979086174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.220847071510944 0.213662133922466 0.312865746420016 0.216242583793574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.228876839710561 0.231361353798345 0.291713453159141 0.629227766907419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.282212329749868 0.268851845913506 0.923037682396331 0.751001727423624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.321054345769602 0.310422307839105 1.20069709789754 1.1201099199097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.383707310668659 0.230181097405757 172.858824479639 0.939144185002153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.275616732486809 0.263659128609444 4.52358449997931 2.51750184591695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.323896040328949 0.299672640791188 6.44885613270363 2.14887382159294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.463205148539465 0.438963356183449 4.22226347141486 3.54532557027061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.578377700281981 0.569331137480799 4.20288947714902 5.71147478373007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax KalogerakisEstimator 0.206358450549945 0.205647488188684 0.249665215729414 0.268752272795623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.207800741203661 0.206964236764276 0.253957279055935 0.337267081298128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.209358002402229 0.207467601465982 0.258782620556713 0.27756413862133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.214358528518334 0.216390139207188 0.298170835626815 0.333729305833498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.298512747137965 0.285053165042161 5.09867155785818 1.82362757450602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.307723021105717 0.357498083980238 1.54469658697427 4.06842544903126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.209076940511681 0.209166840283847 0.269177839325232 0.271115546469288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.220937684526247 0.231717091986787 0.369718422422382 0.652679181358892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.270018762542472 0.293052860534538 1.05597704595389 4.78493459323845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.388043145472633 0.494394006945798 1.59730781139652 17.1111446670765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.590899028527474 0.547232636936486 22.2668602313206 5.91701490017492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax KalogerakisEstimator 0.164683829684706 0.163961740949881 0.0753485624219444 0.115914069147804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.167359912189439 0.164934693366187 0.0763800225475322 0.117738172423122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.170765182565753 0.166566968568444 0.0896616476022688 0.120941435686659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.180184980966313 0.17503374496541 0.181160670410051 0.186581558793975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.251635716451598 0.230492366837215 1.56574702100034 1.19830165078362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.281400952776285 0.263622420794851 2.61638767674155 1.44093467532466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.193863397908108 0.17149001605437 1.2916513147291 0.208064066157583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.209750250861292 0.199196856250143 0.871204265414593 0.815571970145706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.243586461152391 0.232732060521309 1.38782629858258 1.00002731061341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.350865985268673 0.374846567880016 2.08650667389174 2.79554211298466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.477717280470893 0.47431237247109 3.69246903574169 3.37774466321347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax KalogerakisEstimator 0.286698260073336 0.287022505615642 0.441056046551821 0.582859984392172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.31380859750635 0.318986959957351 1.6110687179392 3.77722157416441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.31665779239656 0.315732481396491 1.03611715795141 0.906313831516333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.326295672622525 0.331040641972913 0.674373056134685 1.01035990654825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.396854912134152 0.414856523693649 1.42283498524709 2.18931120742797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.46135552629472 0.478406253277149 2.85707912118682 2.86124145724762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.335125749982137 0.37613566253804 1.40357145624824 27.8014603162485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.355370790215856 0.354304282196543 1.04605110042037 1.07649027158438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.40803304599403 0.429450608094699 1.54099731393603 2.57814489112486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.56607427244805 0.576141906335067 5.30704712311387 6.06367603352058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.678627957376455 0.672874431020271 4.90846368663613 4.6495960796379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax KalogerakisEstimator 0.185092409796448 0.186069942546568 0.116498985985599 0.14352507067755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.189234812102488 0.193346664048443 0.171788718769974 0.379889510996996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.196963630438772 0.191949776373356 0.803384911981884 0.256968891081789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.211494201895849 0.192770263390286 1.11224192914318 0.22806108103757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.275490002370705 0.235678920771996 4.80074336939513 1.13650578137073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.323700065468173 0.246988383397495 15.2445293670008 0.953649942915702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.191556667131442 0.198302985858635 0.20681529930467 0.419859628199925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.206392524045833 0.20901532430849 0.39772947149534 1.00666261861643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.229981112869845 0.221439564147109 0.998522540401486 0.640957456826576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.306557909204815 0.321428858522812 1.96130747621569 2.48920840644036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.409952411291386 0.401626509586722 4.3797824296691 3.28737629583166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax KalogerakisEstimator 0.110054472739074 0.110067090204844 0.0298473609147493 0.0561320372078502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.112679804887448 0.119164851911518 0.0375664698774079 0.412669664740861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.122536402341608 0.123811568824764 0.218242734273652 0.450854509258793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.128870618865604 0.135015064152805 0.283298758232424 0.638165357208035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.156639037614178 0.158378884708916 0.380036127684139 0.394453461246812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.208464928077862 0.198423739852299 5.35135660142936 1.07087019427455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.124341422269652 0.122841614726171 0.339295556145623 0.150605787549252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.159899582442501 0.153896350168711 1.84204636096222 1.88035601420464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.168023125226875 0.176862566667 0.684256538661894 1.09081944281329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.296910758722236 0.269704210892841 6.64491689838933 1.68880378307685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.366112342525643 0.357729921905376 3.71242802245819 3.13663851548597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax KalogerakisEstimator 0.0374040474313378 0.0376142400370552 0.00546014999200782 0.00783020504070863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.09178305845678 0.0750354591255287 38.7536631535038 6.77101252859639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.110866745607749 0.119546489960555 8.18756052862684 9.79893679542702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.144361932658693 0.156990406865404 7.98993031843029 8.74189541392398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.373798032018181 0.319940054625224 22.554317531097 9.48526145777476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.518943209645962 0.523117553699645 19.9796062103283 17.1371217543717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.130226409860126 0.156740793950284 4.99508979750264 17.5610941024698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.18986546780121 0.196682047807321 5.17408846921085 8.03170160543327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.36039592046602 0.375232514014775 19.6801207682023 24.8671249293312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.883058112548385 0.92034356619527 52.8766232610883 85.3789407391696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.29470764476355 1.45073487204894 54.2745442409497 477.164896555496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax KalogerakisEstimator 0.12394605125573 0.124386728569456 0.065536986262343 0.100374809167132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.147672502551304 0.147790673865947 0.307471912015381 0.442272914398073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.179120543232974 0.20642124575063 1.12516101658687 5.24272110200771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.272463028738166 0.260439191247465 18.2957141914604 9.5731736656036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.469844746966648 0.466664149437623 22.4957558923527 17.9202358465049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.639988113494245 0.61101901242596 36.6589282078878 18.7899123325223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.231826798549022 0.257870780733972 5.55694258259526 9.2657679268628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.34519788937928 0.36125000965437 10.1264487058011 20.1718625544328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.582011079066802 0.458587880363947 59.5899831464481 13.0650641242117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.14104831249577 1.11893740081377 62.2574344398314 125.292117567022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.55128848166852 1.54053007132193 44.5037583199015 40.4244279801372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax KalogerakisEstimator 0.0401616080827367 0.040269844076168 0.0129536237152732 0.0156146561167948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0568398001522498 0.0607910303789656 0.0918843982292304 0.191922882278361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0929352395372317 0.0853405358614656 2.82996078101757 1.25899017309806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.118151281982416 0.115178238572793 0.932469269258603 0.769430288259438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.329418633612375 0.350579915090513 10.2553521590101 12.4616438963802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.51398079180391 0.495991147716789 16.4161675324228 14.3373401399051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.120371339492759 0.175764541701345 2.69190963832177 38.6689849467642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.189379553883951 0.189613753095728 3.81037621506448 6.62819625167308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.358199580150643 0.363139682728621 14.8183549743012 12.9620547395215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.947212643820862 0.95485876612852 49.2483313584438 51.5714029430351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.46311681161723 1.34479904513967 530.794404361399 41.958121226215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax KalogerakisEstimator 0.0280068146010133 0.0278561034301153 0.00488335933796655 0.0060199391034286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0800533613981498 0.053063703663034 17.3697794662917 0.885801847753863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0848412165503293 0.0793596028638363 1.91037177431167 1.86292054720243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.139257865428547 0.220223321707424 3.90643291827407 187.948617786752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.503404825250681 0.496508804782003 291.380827805414 352.03232877667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.550151675659457 0.639844657866524 43.4872078845233 63.0459819558496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.11358998649995 0.115540585118638 9.15771325107652 10.4326198813743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.21343231896559 0.212681225005707 10.1880716833191 12.0766775610578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.450525888238889 0.413343430144801 35.742600627502 22.6408160147306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.899434990321622 0.900677324593708 39.2548237766294 45.5761225466054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.39351963702132 1.29346722515693 87.6732872646635 36.6525179807443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax KalogerakisEstimator 0.0430899190796078 0.0434171987318387 0.0046736041036517 0.0082766767536147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0583792228670747 0.140950046025404 0.444972052256282 137.24166023291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0791717731957935 0.0715461775229398 1.23477240116556 0.192467254952685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.138546033966712 0.157055834164524 8.24164718924903 12.3476376565661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.366758918769573 0.377059378932874 19.721401457807 37.4462817178616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.524621580892669 0.548914807394093 18.1127934901174 28.6796978864077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.113682223024494 0.120591140252537 2.09732653448454 2.98432877783451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.216978620960709 0.222946058995045 9.0722421640495 10.2297402147565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.459545652228758 0.647865657263579 308.164270849318 741.009485477671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.966026661880479 1.07160252076098 56.1689470012205 124.222745588724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.4364418378269 1.44279741330655 80.2616605983574 66.3852993858262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax KalogerakisEstimator 0.065719059243788 0.0663132035814847 0.0245049868628978 0.0309922829275715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.144821243296469 0.105615039520143 35.4570300789925 3.27022911429937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.129628320476977 0.181554907589738 2.99206314102452 32.8159611223514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.155363916632948 0.16065660752417 2.15330846364721 2.25710398637973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.448623118578185 0.387528446715306 123.890181717315 39.689637748767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.560258248713427 0.510955682649039 80.5300698915616 15.3818237364613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.172214877239441 0.150454613440147 9.53105261850953 8.56473358931417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.295341069022378 0.206209765685755 65.1943187349877 3.94252254304266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.33935515821595 0.374814544703917 12.6155995661009 41.0764119377301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.884618940938369 0.86261620339269 49.0890151112895 43.6082987940057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.2074510765814 1.24995840483358 60.8820855122754 71.454612339928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax KalogerakisEstimator 0.0404534233133665 0.0403477909452058 0.00488904081626947 0.00702316957412693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0701664745771177 0.0693186518001484 2.30838551886818 1.65395398494615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.102383548668872 0.140347955075757 8.15415656087983 32.3268513231976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.150156672010007 0.161089695896071 7.70416166095139 9.55383512500928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.351213854702315 0.351227523318204 19.4616955522565 24.8816309974876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.516359325083238 0.498848722379597 29.9734583114153 22.884696056432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.147206238421791 0.136027840344465 10.2338396434089 5.45965010201057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.232981501181608 0.237641599831307 20.0781939806655 17.1581967626684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.393724922823873 0.377731419366822 24.8868385027031 18.9215836487314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.873575776035413 0.762272719624405 74.1226875778675 21.8513932076067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.2726135322993 1.24500026607593 71.6864301099715 50.8378274815564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax KalogerakisEstimator 0.0788004600705289 0.0791738313998129 0.0545819433999918 0.067064486024069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.119659083941315 0.114430925162622 7.71953456509467 2.6198334204904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.135070336823888 0.132252529539143 1.81802762581264 1.77669090303333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.178925017578041 0.188054525984538 2.96360296378879 4.60123079310845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.380094858422927 0.520057532524224 13.9723760933464 350.790957202542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.61580149826407 0.686131272644353 44.1910465373323 107.324525889461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.166280763446488 0.170677939812923 4.35194146450862 4.58733841186975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.321956219793409 0.245508972007099 155.520985361099 5.26936887481212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.470442639846549 0.453022613749685 29.4004642104434 51.0254985435403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.959622935674497 0.979226432742762 60.2115650743782 63.2571839904161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.38403961106692 1.35607301319146 54.0061856559411 40.6201938511811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax KalogerakisEstimator 0.0488951500070087 0.0487994995442198 0.00898767267704565 0.0109061389102337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0868351846454799 0.076223814055796 5.54189960099272 6.70967209007315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.135045562626216 0.106992862876256 86.9783657875666 14.8720539832866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.120595780905337 0.121135221224946 9.4288617615635 7.28476774416654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.241050546220913 0.424618696221613 10.3976806936913 1073.65274863378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.407845919224691 0.398936214035805 25.7749194650552 23.6756880838781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.12288472201303 0.169993450241769 6.58715578845111 80.2042234878897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.182508982239478 0.154733491048699 15.0458721282154 6.57706428200899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.375939608503919 0.273208876108043 234.69525722223 20.5826358461992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.623514186671695 0.5847495912136 37.1169377494014 26.0999925211299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.904321975250499 0.922609817386447 51.0188913015379 63.4411688979412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax KalogerakisEstimator 0.026221736747331 0.0262877789535282 0.00212739428433665 0.00305361775709421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0489398276161569 0.0435504039230896 1.6777892670203 0.915911364338209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0697951048440459 0.066324737620554 4.3354374018959 2.31042468915201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0940391232619098 0.108778823365158 3.05119761793077 5.30219551059225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.221143595624577 0.291953111132387 8.87314266833098 86.6740343178193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.423394791061486 0.353673153930608 131.751532131715 14.6607028682913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0975385714446555 0.0901725210805271 9.9278615797801 3.96464556566777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.155287603143747 0.156129597672241 10.5765483727508 30.7126995067327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.291497326633808 0.249909677861658 35.0709814848708 12.3413881514211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.628497151921362 0.65307672060936 70.5704357676797 473.975561300721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.857171913545021 0.891347394598367 31.7271643065555 73.4363898878238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax KalogerakisEstimator 0.0257467805963793 0.0245392255055487 0.100636900217872 0.0701382565051247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.184227023175817 0.158183460825396 73.8381073728246 41.4912564786481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.262643293808362 0.193238182959963 65.8596224185673 29.2854289724149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.414018757194559 0.459077684734088 54.6512845450294 266.530319677823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.61688465472559 1.21395997694246 1649.4452265878 226.936105215641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.05574910703815 1.85533640874763 646.704093772331 349.67784466511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.414888594773977 0.603632829810083 122.057283450602 1124.69360424686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.786985845556333 0.759084727785452 197.902181236522 174.749976825376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.30394615171163 1.51796649468449 220.617571798583 691.734916624627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.53587714108554 3.61496975977624 728.597952913975 867.740011059248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 5.41243575170806 5.4016302067641 1187.51192324419 1427.56157245256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax KalogerakisEstimator 0.0341804828804819 0.0339413393762204 0.00525641413081979 0.00621482963048594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.19162465306697 0.215747809537023 78.9003950806795 91.5144899279857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.305788823221316 0.346616286525379 88.8536993343105 89.4779374323412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.544126147305356 0.541230196902492 409.919756193534 93.1804399559284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.65304808933439 1.86487380623672 911.411952217074 2441.91087753279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.06016778296468 2.55465772751869 235.096546725446 927.835224331602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.398487342858487 0.424601011814723 79.0893676103145 64.7711796741139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.787610923185765 0.927064666738128 128.972871089213 349.016091465978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.52713845505559 1.52062716591366 1210.05947743136 770.337318207094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.79697762816977 4.34076180877691 762.277551973014 1566.7922807749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 6.70243134204501 6.19718968330744 11714.3255232386 878.294363027985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax KalogerakisEstimator 0.0251478413515424 0.0227146555499129 0.00386823383960152 0.00332493557913828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.169440823597529 0.154224481404813 25.9769255333584 31.2820326253289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.378017986179193 0.322646848167567 111.484839802956 89.0984653262477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 1.51101284383698 0.6791696631671 22609.5191435024 216.276762011542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.77463639962889 1.50489617851399 544.513635124846 295.033923349229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.59199564006203 2.44680999657112 419.45484527553 786.941953768819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.486934322667313 0.401873091807381 72.4272861478484 53.5221801289358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 1.18669833594404 1.08096548433184 1950.77254083601 468.436371797811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.02237342294391 1.80279118737977 2484.08551159075 368.395536016905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 4.86757827192484 4.30199973001275 1337.26792550346 859.469201399512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 6.98703911652203 6.43516058872582 3090.13922141101 1374.85188851546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax KalogerakisEstimator 0.0233085468501861 0.017152166047139 0.00437876562475707 0.00280345150689302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.139794468146626 0.123344102424502 13.5095585889303 10.8823583871526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.283612953865632 0.23387102058344 58.7832825930286 53.783921161921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.671788928477887 0.516798358962691 312.353480991594 134.82984976348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.72773154900426 1.42046888367297 626.100039831906 257.775986976338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.36415565686051 2.12376155514164 1155.7885880117 285.342163612343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.355856136198492 0.317199343384284 35.0887355311205 29.0987482094389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.80658537365713 0.730436655066314 104.943350246039 113.496415570599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.70936457589416 1.64913761987335 470.511101942678 675.064612541439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.99091390589376 4.22327532672684 715.764100548249 1478.93712722322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 6.05344210245741 6.29738383258335 1006.79945288614 2789.36034709383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax KalogerakisEstimator 0.0280856201985258 0.0258958295951724 0.0775824583063173 0.0600547418134666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.239490058854281 0.139424446365917 148.399547277285 29.206093131579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.244418377358777 0.233072726022506 33.6084948421209 28.8332822120797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.559619159636136 0.59284123159378 114.797626033625 174.298271288876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.54221632500071 1.63028094749019 464.33562656293 795.907065525035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.26910261153697 2.25768974549105 350.59245979402 343.801028717747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.428828859618672 0.388274290621676 45.3076148301281 39.8837297733214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 1.2321994364571 0.769913272795131 2694.17744737903 128.469884163156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.74162723022837 1.60238873315128 661.859360110062 376.43237182924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.74800667496548 3.96663287148067 635.811000266462 972.772042998738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 5.97107211863313 5.56947147697761 1176.20913427172 1163.07757210027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax KalogerakisEstimator 0.0257493853092493 0.0267597029540087 0.0066940534448619 0.00653637174538859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.21408119157564 0.252294918762088 161.058233151492 194.663946817716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.302847754415963 0.34181419672625 62.1105265772023 202.877055284388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.468302482338608 0.499945317771408 57.0682527896678 177.957594081108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.47511197557042 1.48436305192252 458.100190063406 495.07242965487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.28270511287245 2.34607190005739 898.888680513825 910.9852079707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.406181826082263 0.360448679573699 108.210350418485 44.0583632282161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 1.42924760799194 0.969308338832132 13248.489656395 581.532505353188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.51201299400853 1.60571910731345 393.218046163017 345.491283698124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 4.15366395288695 3.88434692597915 2250.70265431404 1001.91336439062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 5.38160770648288 5.59295041881313 869.708321574558 1207.87817299626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax KalogerakisEstimator 0.0238725847914121 0.0215439846615768 0.00834866384374874 0.00747486075320502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.141605308947544 0.128574548376035 21.0585983225599 18.6096204130785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.254136408841505 0.241629177367209 66.393132038793 58.7232959675189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.692805790035579 0.650198350572858 311.033780187766 287.254055441036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.38324822371347 1.33064730875234 294.080674923688 288.333064583804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.35127245134556 1.77811620326912 1059.65315002871 210.603145174642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.339995180828086 0.249073705145777 126.834712474281 12.4506383778625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.607289476316699 0.614587084762329 133.740469057244 89.0128585278403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.35500584298523 1.39762971608826 708.021668341496 1320.50229824684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.44964351990919 3.41346310569744 1046.06042403561 1087.71908978407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.92176431244014 4.64946137878303 764.393584142614 532.012455560835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax KalogerakisEstimator 0.03492309710721 0.0278879637676931 0.01575969673513 0.0098297382793793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.162996138643513 0.148881079670536 25.3524137301691 19.9648137205922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.322278690600037 0.287808722168432 71.774262132162 46.9354614418641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.538147072106898 0.577846856383365 176.535367978197 483.675073880523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.65518988598737 1.32515241660959 4247.3272561966 499.772585115437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.08234165210003 2.02662248595578 443.511382052443 384.440947776592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.400724084760427 0.423468534922256 98.4212349775004 185.727623117113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.804999057696127 0.749157270230166 302.63986083365 171.342495381191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.58103805855046 1.70823024998665 449.971751506134 1601.89012333907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.5527369774091 3.40974152801678 691.336094693006 522.928612128075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 5.39826791016903 5.40652181196285 1014.681473196 964.794624311505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax KalogerakisEstimator 0.0226514041575871 0.0193572880546935 0.0212029230516619 0.0206719789529468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.103478060360611 0.116930763930877 11.6055764879895 26.8725923256175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.206930582715513 0.220830799301013 26.6549975697987 42.4935609091499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.439789989575609 0.471588452565589 102.097401017449 165.814952397288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.13510080599082 0.876575565062324 857.081890716693 145.190751037379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.44904065608472 1.48554038605006 250.306747971461 553.629583148107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.395381598688406 0.288003284582968 118.578168486437 59.5588519107095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.560950917400336 0.694185638211425 159.401771883439 615.992203924492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.09782256377359 1.07812110545785 738.031471098611 899.675227381068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.39757693425063 2.35694113357582 443.016501634011 477.077652740721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 3.48553720645967 3.49987867461707 482.964482249012 484.035866904876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax KalogerakisEstimator 0.0175877860692472 0.0157663565119509 0.017803762935663 0.0115760306099185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.145323440276121 0.121862739028247 43.6624389451387 28.9267557721621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.229541452097412 0.222987973584491 59.7410497971948 221.110554003675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.468205825391111 0.432456430618114 305.542573842665 191.174775491477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.966447243378213 0.923722143575546 316.270003993196 219.073934811023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.36838949399481 1.41922261662491 202.468006870009 371.820183378754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.303981482506525 0.349448965987913 70.6091910576734 195.819958286652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.571855662087239 0.618510560601329 118.35787061584 144.633758727057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.04292319766467 0.965414772424945 324.053068055856 154.478153453061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.63943238343994 2.48534789052336 748.583379701836 564.507001323787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 3.76153260552213 3.69839547420295 753.369254452649 678.548611774706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax KalogerakisEstimator 0.763784166485326 0.791018818840949 1.59998143991148 2.04696992078614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.763102005448364 0.790421108838545 1.59551898433217 2.04416248767446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.762333940640831 0.790239987577753 1.59213899391463 2.04490143380825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.762264560416207 0.789218479069865 1.58916402752089 2.04136462589496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.761176043156277 0.788436696888959 1.57945237941115 2.03901007282479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.76158212235426 0.787965487504678 1.57315181068505 2.04038048941176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.762451500032702 0.789824981445794 1.59220657436575 2.04384861244692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.762605455931112 0.790760520651401 1.59045072661344 2.04788975279205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.76202623069219 0.791210729806423 1.58488542765657 2.05177198233005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.765193997938125 0.789808424301126 1.62005075155029 2.06151631231955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.77975040068133 0.79170300069407 2.49279983817873 2.07937576976487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax KalogerakisEstimator 0.138409978483131 0.0888408848008507 0.236224283220131 0.0802161804920822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.13904351877849 0.0888503708874534 0.236701128232735 0.0803152690182032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.140205263285579 0.0894372615103207 0.237150490782946 0.080618806543679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.141203215557926 0.0902737305481372 0.237941399449681 0.0812220964423489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.147897655568438 0.0960422765742494 0.239823063950452 0.0845091249934656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.154343534476446 0.102020656227121 0.242192471261548 0.0874324401559768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.139608497128196 0.0907449101060502 0.236481664472109 0.0819631335798087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.142023165078676 0.0933388362964738 0.237719677403392 0.0835109993800895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.147477075424049 0.0989204966433352 0.240410083610217 0.087407522734487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.168474699971459 0.123242924487486 0.250806728250574 0.102479418477558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.18563913049742 0.143642663710439 0.263582055320304 0.118196207500622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax KalogerakisEstimator 0.139689147894984 0.138057090964442 0.0534065087259972 0.0899989767123567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.139814682203449 0.138074522994056 0.0535517521566154 0.0901217155357428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.139820353086811 0.138495499250489 0.0536800732226605 0.0904138736083744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.140399530475299 0.138507956593653 0.0537938599924066 0.0909045554580042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.143917978696386 0.141807070468244 0.0555910603929581 0.0943786936363631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.150821990188653 0.148135645717138 0.05932324065777 0.100403908204282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.140266168394685 0.138839787768438 0.0539278288330805 0.0904916121787962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.141403330622955 0.140532940614122 0.0547328682804638 0.0923975426480352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.146308055409901 0.144872371238167 0.0574783514863654 0.0963498819162149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.169995602305458 0.167052177298895 0.0710966974606256 0.123321135308867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.19244014949307 0.187305234953276 0.084025619496961 0.150285161334015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax KalogerakisEstimator 0.029198753876569 0.0299881278785463 0.00255753245073996 0.00449274785414379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0295783839996286 0.0300108449804917 0.00261581825120799 0.00447088092382166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0302679249454379 0.0303468177323329 0.00268767852129817 0.0045131132587513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.031587049883467 0.0310253981782214 0.00290307825481454 0.0045921800886934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0366679519722621 0.0342555985900796 0.00407810912599801 0.00520100420265591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0418877199388264 0.0390916865335289 0.00565892149803694 0.00608541719842941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.030558248646796 0.0308369921799647 0.00269790529571651 0.0046460338267695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0323937534627832 0.0326110367082373 0.00304708556086591 0.00507057073100856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0359028149160874 0.0363495184378756 0.00401720572821571 0.00600724686780171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0536345397959565 0.0546278872793832 0.0104058608613047 0.0106608539853403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0768317907440902 0.0766464025518336 0.0253087464972707 0.0181939939601477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax KalogerakisEstimator 0.190826063360137 0.200248554048427 0.125015117238171 0.209052898237039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.190768316824792 0.200387578757054 0.125265620025721 0.209216411873446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.190608806204545 0.200481156014258 0.124734824130385 0.209468776488655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.190896943200369 0.200959145955233 0.125200531530298 0.210048445045852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.190683863378379 0.202612683884388 0.125045116980978 0.211805835952257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.191758875827722 0.203303979953087 0.126331112958817 0.211035725133212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.190978797427438 0.200711337635883 0.124995107035598 0.209409961353452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.19061780526574 0.20099571629911 0.124257649515126 0.208910725505866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.190157580757014 0.202467177295629 0.12377462878113 0.209453835360183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.193630819858636 0.208635829255924 0.12706110688035 0.211870607683942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.201531779310254 0.219774807962223 0.134538823591345 0.221050071470355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax KalogerakisEstimator 0.0360386820267976 0.0344004887334639 0.00387083664793193 0.00398451623838082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0360927805505142 0.034669667575603 0.00388633822069565 0.00404087680326414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0362166255815758 0.034966338388908 0.00389108130052464 0.00411655023262531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0364538425665487 0.0352643242291838 0.0039290444098663 0.00425113999596148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0380788557894247 0.0379115355266559 0.00426083614837821 0.00481961291648624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0412089213255671 0.0421800306839895 0.00505244018456203 0.00572986829407209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0362498240373088 0.0346645267165005 0.0039613015974625 0.0040442140879575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0365486247882457 0.0346691816028409 0.00403633519025638 0.00404551849950494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0384592434826926 0.0363381972177033 0.00455484684496384 0.00434295030653934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0531265055863383 0.0516616588491243 0.00952320531524338 0.00758435124428775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.073589245582888 0.0740619503489613 0.0201119080677932 0.0139715402404927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax KalogerakisEstimator 0.788396782291696 0.688177761659894 2.41510531504712 2.281432540327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.787624401014341 0.68835084181299 2.41067552104649 2.27937025697095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.787506120553281 0.688127885092497 2.41000278056139 2.27930526692064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.787590964846204 0.687672226163207 2.40839415571555 2.2779330935187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.786237315100269 0.686001802881082 2.39899665323836 2.26470277332153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.784249059686971 0.684798707550217 2.38845995347693 2.26259160382237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.789686130973145 0.688006354370522 2.419287031323 2.27801275047243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.78893689520642 0.687690062329833 2.41444768153229 2.27615519336364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.790524819173302 0.687818381785373 2.41896233284104 2.27884048998479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.794947462702057 0.691803965845351 2.42237964010872 2.30302405963234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.802079604232208 0.697488824818825 2.44495499672306 2.31410339104236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax KalogerakisEstimator 0.928329578915856 0.926238583556738 2.88103160008827 3.21926237353447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.927984788526975 0.926030012590576 2.87932289143483 3.21935393305579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.927233160522421 0.925313360856061 2.87438155722214 3.21751247050252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.927773645773488 0.925454823321102 2.87790766106144 3.21827008549238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.929763461049919 0.92401754147423 2.884037203273 3.20713046219806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.929905318082044 0.922854920894741 2.88057673824611 3.19689205398278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.927087533692204 0.925716326269368 2.87281202552662 3.21981938455631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.928223184841348 0.925101279076529 2.87844115456299 3.21615897386162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.930709389588799 0.924325970560319 2.88892156154053 3.21397380025191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.93045416225275 0.919393513773474 2.86023791072385 3.17658055635457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.929681355944145 0.921701187813704 2.81934962041362 3.1609925786835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax KalogerakisEstimator 0.620001325006882 0.688724568474882 1.08860473794419 1.71406405968483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.619876247157279 0.688888809645193 1.08803565461727 1.71260483396378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.619443653314835 0.687903014326504 1.08618301949785 1.70572385828703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.618759992229625 0.687913582689897 1.08241099852564 1.70718111984168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.619243465601105 0.689091392087808 1.08170505088024 1.71101519579966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.622410141410214 0.689211823748571 1.08885837007359 1.71224886785268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.618891581438001 0.688219224166999 1.08040900143043 1.7120125270592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.619062549121057 0.686453482966541 1.07976715455747 1.7027271063434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.62124586902948 0.684803548992287 1.08196843281786 1.69545667649731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.627159608501931 0.682475819870501 1.08075159444916 1.68149558281247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.635288473004277 0.688235205952068 1.10080640191216 1.69039267748916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax KalogerakisEstimator 0.293495769625392 0.231140327733883 0.286257076322488 0.211978847487622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.297736878217928 0.231553983882439 0.363046212104015 0.214192038626134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.297334873310864 0.231893373464421 0.342959218249226 0.214254528285432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.29691468443273 0.232219443155729 0.335155772853842 0.214448259994351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.29749516835174 0.23603374123303 0.327306779627934 0.219954502181184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.298768416522389 0.239940359816069 0.321738639284529 0.224597839931252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.293841299006053 0.231257657085589 0.285937104023951 0.211765501081745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.294486024546382 0.232630690065463 0.285677988212152 0.212748933200909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.296921571812559 0.236297999431277 0.284647854044143 0.216903170981771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.302994115669217 0.25000327143369 0.272760709946165 0.235733352459455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.306504804429013 0.260945023175008 0.265821059024535 0.25179833595671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax KalogerakisEstimator 0.177743779754511 0.220548100483714 0.150785010991651 0.194915766224731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.178001607755983 0.220526299714297 0.151120976730995 0.194878569295706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.178245483139438 0.220777202663871 0.151275369897098 0.195345767428306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.178800897909082 0.221245243532234 0.151295307377308 0.195940312267841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.185425207994932 0.225185958275962 0.1557440566594 0.199525805446779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.194985196258129 0.230675640491104 0.162396995928511 0.204392210316631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.178685427787185 0.220708609190157 0.151034410729219 0.195244094126962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.18050588417583 0.221927232381328 0.15178961204181 0.196368653937095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.186382508253412 0.225159111737393 0.15486142177517 0.199026976714264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.222804480107468 0.251335614139124 0.184911153367052 0.223047729227953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.27160627473958 0.291461414356248 0.245087941400086 0.267253929831655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax KalogerakisEstimator 0.0259016198634713 0.0219646968738584 0.00990828452569065 0.0104820002077038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0272210339876625 0.0230985100941533 0.01007985272341 0.0106043393867615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0289465870718482 0.0251877928184037 0.0101779515957795 0.0108311066521354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0330953837044002 0.0297612181442589 0.0105137295932952 0.0114085195570268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0513068578449004 0.0488012353533571 0.014390910154739 0.0152391266923482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0703771332206071 0.069024665954622 0.0208688226862693 0.0213491019062286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0315916918271534 0.0275121077762321 0.0104364593787651 0.0110384272167235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0394329200342796 0.033873705810206 0.0121680254454224 0.0119776450761354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0546390348583679 0.0484335272630045 0.0161933976498415 0.0151790570703388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.116291406893214 0.111998641628514 0.0452542514810055 0.041857538455464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.17946740496083 0.178692301047311 0.100567949650533 0.090215629124714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax KalogerakisEstimator 0.0682203076287423 0.11607208773045 0.0304863034011906 0.133620542556735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0685254475178576 0.116375784174957 0.0306291053018772 0.133592877242374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0694087909489387 0.117282889257951 0.0308061697909389 0.133779409009058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0718557572139578 0.119819479844486 0.0313402703580151 0.134949832464271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0849108785083731 0.132752658740638 0.0347830459783317 0.140635334309874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0995147749919246 0.147010172928959 0.0396148209629593 0.147387172009881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0709753831733246 0.117858260902317 0.0311708536514033 0.13350138416394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0758911056440467 0.122070282994557 0.0325154858610673 0.134677015755616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.086564049753011 0.132464552246269 0.0355925760379468 0.139367474045226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.139197501725379 0.181728104160576 0.0632559848010877 0.169639973780556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.199092213909357 0.237084061416214 0.119077849640764 0.217933097281184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax KalogerakisEstimator 0.0283337358275077 0.0388732874051992 0.0023268522797517 0.0068039920801502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0292714223946207 0.039411428885919 0.00245396577678 0.0069229482448006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0307374072117455 0.0410918540164345 0.00263475142297638 0.00729366688985032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0346958194920397 0.0453349956480993 0.00327510142300311 0.00850607602352955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0519190064051386 0.0614727354483551 0.00685462475837786 0.0136791566079488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0727067953250943 0.0799199084241118 0.013678095327018 0.020637178909541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0324889456313866 0.0427467292419414 0.00289037991962397 0.00778235368129544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0388138680315356 0.0492443994134597 0.00405072585803877 0.00962016955286701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0529739039218414 0.0614141350005471 0.00707249904221094 0.0130863918479171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.123943179634768 0.125730994805353 0.0420793309565351 0.0437301719150672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.201688736799012 0.199052472269479 0.120599310054559 0.0993449251030928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax KalogerakisEstimator 0.28781248235879 0.444918860848451 0.570590980213941 1.12631474004139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.287837151225801 0.444876963009919 0.570124385461181 1.12639393343642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.287739088054359 0.44496037209959 0.569590648390786 1.12557832116768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.288057430741668 0.445264974533284 0.567902587972083 1.12310330300929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.292951032962982 0.448420231426948 0.575602639764448 1.1152178812956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.301165605629685 0.453331274350731 0.585418030564852 1.11223346385865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.287863562576277 0.445258811717057 0.56923216611033 1.12374952784412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.288487656250496 0.446235731454361 0.568637918326823 1.11974101021132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.297604954377535 0.45003538634993 0.771615754301243 1.12396360400345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.331245626808754 0.471874260956815 0.762215674760471 1.13413105984174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.378489584924491 0.506329461415566 1.33580009439136 1.18064614308564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax KalogerakisEstimator 0.0199790297346456 0.0229753947553939 0.000959003646193664 0.00219859624280915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0210070220563885 0.024082555519255 0.00107980481314075 0.00238584998866209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0230354925548725 0.0262567755128313 0.00131729101079553 0.00275897621461301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0272627060379541 0.0307449894982518 0.00187527552527668 0.00358101643667055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0411151712309928 0.0447755300552259 0.00408763670409117 0.00682191806275441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0571358034016222 0.0598776216476805 0.00826381565511651 0.0112884843262473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0257841612930403 0.0291240106888944 0.0016951202055332 0.00328190652656862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0317600065819942 0.0355816849296987 0.00250536143145935 0.00460236223942528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0425830427027529 0.046445506841351 0.0044892501956364 0.00712546735776616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0975270562132922 0.100116400624642 0.0282762614958086 0.0281067423847395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.158469181212776 0.161405824634588 0.0820021073888506 0.0661442332443167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax KalogerakisEstimator 0.0146092334732973 0.0176159977257314 0.000880059733585003 0.00221834217186319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0154310889416643 0.0182395108471309 0.000953034081924538 0.00223943709971782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0172055488757774 0.0198260118933934 0.00110269762993338 0.0023535433164206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.021920996946766 0.0245803610088781 0.00159645391045081 0.00281590668629169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0441576608981124 0.0488617647514495 0.00634415473112651 0.00740129734858259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0683603794905504 0.0747836354623511 0.016102018089365 0.0155189216484548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0197236089409605 0.0235165598239459 0.00128996509948334 0.00280975258310967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0278925552999203 0.0327738361402904 0.00237994645882893 0.0041502686953386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0463564054546182 0.0536255237911295 0.00684038736843481 0.0089195901178532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.129189347639685 0.142609451942382 0.0642097918603953 0.0539767793072109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.221922982260095 0.237375665226199 0.198195694867775 0.134952836649315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax KalogerakisEstimator 0.00519518921254477 0.00434756906092098 0.000161222496481038 0.000199436971341495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00624318872174643 0.00522185525212311 0.000172594836769281 0.000221028352406581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00815716242254567 0.00713445420475273 0.00023762514286824 0.00028483687998178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0125901384480536 0.0116580686306335 0.000466809800108455 0.000512581654242448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0323260205719401 0.0313413200854895 0.00282799814283461 0.00273923751544129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0525901100055202 0.0514784251742964 0.00762749241395304 0.00699940814936048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.010818898640523 0.0106499049982347 0.000360619732781303 0.000454651482843207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0186383200869545 0.0189558814766124 0.00093711757999049 0.00110555178752886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0347842915658976 0.0363827887656197 0.00323094025422225 0.00361988454038951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.101005876668985 0.107353307828816 0.0295455989017634 0.0282672060700597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.168146302533432 0.179217340816809 0.0878049634641364 0.0730360659147212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax KalogerakisEstimator 0.0949976785545327 0.0943379517287716 0.110023409469354 0.107794492706246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.095414793296824 0.0945410357992094 0.109996866875338 0.107793742570235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0959348620332043 0.0950192654480752 0.109915333093927 0.107748330150033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0985245205728648 0.0978226224175046 0.110813613909764 0.109237351700635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.111819490021538 0.111673173009448 0.115559472863143 0.115474340737366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.127536362665484 0.127293476476946 0.123240560985339 0.124434247921767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0972362388055537 0.0966384532312769 0.110753082840219 0.108529832333832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.102041138384036 0.101183401641385 0.112659288326022 0.110274053764335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.115204455885457 0.112948614135639 0.151618462084004 0.118989316441053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.171894544293052 0.164628825559649 0.16587245847214 0.152565128075891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.237435006077165 0.223319865590822 0.52776684419306 0.272292482827087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax KalogerakisEstimator 0.00319867856783544 0.00359400412037288 2.08878888808341E-05 3.97393061485485E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00506689807332759 0.00508309335187755 6.44665831837064E-05 8.13104717659357E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00809850001991109 0.00786878819963772 0.000185999572026879 0.000187599011855375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0147050511454264 0.0144192888128913 0.000674399420709478 0.000614106847860175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0412581368026484 0.0412473446259352 0.00610808240619803 0.00447047953699389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0677774147465588 0.0686256356821698 0.0178410019493389 0.0114755176862421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0114941021865107 0.0115648459062872 0.00039867874249878 0.000401626114571725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0219815359914205 0.0219071081273652 0.00159477557174535 0.00138370410971955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.043057700601388 0.0429300607973448 0.00673113516299882 0.00488880179108613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.129505766713555 0.130652728127946 0.073769010416539 0.0363638243318072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.22075421791781 0.227230498200162 0.222865653222249 0.0969519808729057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax KalogerakisEstimator 0.0316490392027134 0.100079441730401 0.00536135106371771 0.0392322011288996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0339122765858038 0.101121020611477 0.00570653593143796 0.0397039004233078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0393128116745463 0.103881559233425 0.00662720789191906 0.0408937116752505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0540348266599533 0.112404921508671 0.0101095318861616 0.0450676774569548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.124814037926371 0.167931993940898 0.0465980402072926 0.0833211685245357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.200223595381915 0.23683728757301 0.121778177567952 0.151010126850561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0486985733852836 0.110105337535932 0.00850698759575659 0.0442461404986601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0763348324883346 0.12926314682114 0.0177790888244157 0.0554907070811105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.137125578277672 0.178565047527262 0.0556828833916241 0.0935987825359037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.395217697009751 0.413708299616325 0.510244818612372 0.41328709015895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.66819248520681 0.668898717839955 1.58679282000777 0.955715204134049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax KalogerakisEstimator 0.163655060522084 0.270505577676215 0.162252922182373 0.347834471311836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.16496029154848 0.270926878357069 0.163145213101556 0.348227339668868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.167848525748874 0.272293605166999 0.164908830503239 0.349862961036768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.176480898185475 0.276962233950081 0.170397407905129 0.354863352779077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.229499642197349 0.315125950643887 0.218348682481874 0.400980198403937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.295544304080589 0.368928544522989 0.307184704913277 0.479903553285034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.172657763265347 0.274525490502264 0.166679401467293 0.350793199746963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.19143490480371 0.285107284002747 0.179595508181826 0.361303573790658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.240101646185894 0.318040819905593 0.227071994709202 0.400204834301415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.475738952508232 0.51118751445854 0.715648814571516 0.740736320904428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.735365365842023 0.744613863458239 1.77401963758932 1.33525712976905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax KalogerakisEstimator 0.0100000094906079 0.0198009052023996 0.000328376293835664 0.00106627214170687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0121895282212515 0.0215550589082214 0.000483681220589972 0.00125400313999002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0191838267366047 0.0276658767937188 0.00107449204730654 0.00190703251813533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0352330836722281 0.0438633803499521 0.00336405033077647 0.00454828590042529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.102433429673009 0.117613610559876 0.0288002669457067 0.0320937872724563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.168926034039088 0.189821499525085 0.0844125707635499 0.0807740290809202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0352708104610494 0.0325100692124416 0.00337933030251209 0.00277073654503111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0667557844067956 0.0550880903113723 0.0124153782108709 0.00732952181223053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.130980962125758 0.106141062396478 0.0507726736219025 0.0248300217135137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.398268631120074 0.342252579080396 0.552206875502025 0.186920017568556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.679104908590834 0.612307551194746 1.75476959959029 0.497974110485386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax KalogerakisEstimator 0.0294084219440072 0.137188811359543 0.00257808418996956 0.0799434666176142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0339560055696966 0.137939623245876 0.00327113172877982 0.0799062507478346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0429804516451768 0.140671287489119 0.00507324355255898 0.0811477467231912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0668402974381454 0.149148344532799 0.012300114570069 0.0860876644193613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.175665213126717 0.212113874211724 0.0900845277275267 0.141198799028422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.287341813497074 0.297286374407526 0.248327700818262 0.247905613465581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0560266391573849 0.146067794877699 0.00852146046565659 0.0843401931984261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0975234544135614 0.164341881186333 0.0265378301510495 0.0970029331297669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.184754783202575 0.213173068951998 0.098776141203167 0.141862234098456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.530927317670569 0.458179063503705 0.907979937503734 0.529316979338665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.869671958515147 0.73363443672939 2.68596177171169 1.17313964108479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax KalogerakisEstimator 0.0412673849063152 0.145695609333579 0.022265800908288 0.129906074164287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0437228265548915 0.146350626177797 0.022650827575581 0.130412022124446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0494586793257394 0.148896496338943 0.0237167683728848 0.131777297705587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0646595695630101 0.157553389544644 0.0277377676522618 0.136993415309919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.13740268076014 0.212891140159361 0.0667129986593224 0.183372846869664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.214597122792834 0.281657121024782 0.145170952847594 0.266613591819142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0593296947201767 0.154016410899974 0.0261036963088509 0.134478039407575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0877563238679524 0.172879170632401 0.0364204695454261 0.14768448133959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.149365605797513 0.222611346788062 0.0760869610358662 0.194795333284962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.408812117179217 0.468177945150882 0.520872696131988 0.61045000754028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.677004394937986 0.732124509622255 1.50760545540604 1.31820849678951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax KalogerakisEstimator 0.0638457171572967 0.0739943688819557 0.0181624896236776 0.022756598899047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0650513093059973 0.0749687620534658 0.018453521812801 0.023051729741846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0686077847201574 0.0780991981009102 0.0194842189900549 0.0240878802897364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0793457364505708 0.0878731378043084 0.0233633445527468 0.0277646406341237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.139796361298443 0.145261257365633 0.0643807224495497 0.0594023297833995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.209549500190311 0.213336078921262 0.150983912850209 0.113542753015928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0753803975120937 0.0835083161032958 0.021731910466984 0.0257907572270286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0967359888855919 0.103275326574399 0.031573657566752 0.0341494156245073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.147435267085464 0.153078044619959 0.0703588053295778 0.0633941311118052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.383057088185045 0.39362714151789 0.548613554506174 0.324835672146547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.646695476871597 0.66365561063816 1.68328133352993 0.814330274498532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax KalogerakisEstimator 0.0747447582886791 0.152460040504996 0.0264256560897583 0.158660131142223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0756194155451706 0.153535445762179 0.0266710695838409 0.158916576137826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0783638849827611 0.156536391347 0.0276322716947852 0.160058332484546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0873850097421323 0.1656977554835 0.0310283325039929 0.164153806996835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.143687895717736 0.220928214772341 0.0653723235590283 0.204512783659284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.210886057789865 0.285753206720525 0.134462666701764 0.272922237629089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.084318832632114 0.162252507236599 0.0297323362555256 0.162624572390275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.103785991403891 0.181662663239424 0.0387355019296038 0.174484865773805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.153258544081958 0.229701933383607 0.073558402156511 0.21406345288421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.384763040702517 0.455784771388134 0.468162535502307 0.540729343984972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.638065116042485 0.707387364976245 1.37689154719067 1.10687411782495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax KalogerakisEstimator 0.132714234499116 0.122750399845733 0.063154317880085 0.0572003485145458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.133236882736724 0.123113315549612 0.0635344128221165 0.0573911567142535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.134687155355596 0.124612483530339 0.0645298635745738 0.0582036662073984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.140752166598737 0.130210643041809 0.0687862342242638 0.0615140389001595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.190855497467215 0.175701066392837 0.114590236655558 0.0941420786885085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.258375358797076 0.238816124520657 0.206566578583391 0.154026843353923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.138058871080991 0.12757573772636 0.0672647502086223 0.0597650995851702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.15211993756506 0.140876685696829 0.0783779132757997 0.0679382779179871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.195297564476342 0.183339223276088 0.122119500938154 0.0996047411553815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.431528119233419 0.414183415717467 0.623250278453273 0.38873592286241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.701115321782028 0.68115415355726 1.7773512949025 0.915744440585555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax KalogerakisEstimator 0.256814313750887 0.320267088994406 0.553550132855482 0.835884073439426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.257358744403576 0.320971751272516 0.554626661907063 0.836520645959747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.259005699060323 0.322466644774981 0.556570379226354 0.838013790322782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.264600661903147 0.327925500234359 0.561958476467849 0.843764021350461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.381092294053959 0.368485625751306 163.306702819475 0.915830036702596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.37181096591649 0.426034707250029 4.4528657919695 1.78265238534356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.26191567905346 0.324952533113396 0.558508527466479 0.839175877981684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.274571361000448 0.336834898195371 0.572250129656482 0.851176686005833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.311672914372136 0.371593758055425 0.61979933836621 0.893763583814878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.512782883922405 0.564464513737497 1.25992201303525 1.25527565755653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.743543952200804 0.7905645357919 2.51564804181537 1.86750309953854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax KalogerakisEstimator 0.0122586724511355 0.105971114413167 0.00065048131840677 0.049570557511398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0218339069488115 0.106660999865797 0.00145110024409979 0.0496118489383814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0372558648925867 0.10928322227711 0.00377173218600077 0.0504544799975822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0704753436293267 0.117801386041451 0.0131408531385777 0.0541042601353545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.205852627034297 0.174954084649223 0.115210634941153 0.092483179503942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.340111838755471 0.251257929343931 0.323002336797051 0.169264896955833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0594601731366013 0.118046699086076 0.0110560214518535 0.0555519789975949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.11637901263879 0.140928138939279 0.040776190832723 0.0705978222209083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.228837009895542 0.200607202249448 0.154244591043466 0.128032598880761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.642042109136852 0.490301525667077 1.3437810044879 0.7606783788723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.038955882334 0.838073335656185 3.85635949665079 2.31045766752136 NURBSSource NURBSSource 18 180 0 NormalsMax KalogerakisEstimator 0.012846706630327 0.00508364624303751 0.000552354283714056 0.000111123747778999 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0160675114266893 0.00808725481855202 0.000787565345900961 0.000244653470514112 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0205916148272131 0.0107630348547647 0.00131433625400593 0.000436590796910696 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0274624917649663 0.0159971750074561 0.00252193025892054 0.000962343051217008 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0401437595469788 0.0361463504852679 0.00525555983412275 0.00478673678856991 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0557009505147526 0.0588988186680622 0.00988649712837594 0.0124133659358963 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.024894467392355 0.013812581673807 0.00200604606368218 0.000687709578268646 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0312745461899259 0.0213864794893778 0.00312340902731093 0.00152671004828964 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.045325146199765 0.0372517751025512 0.00606083292158823 0.00426408027553366 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.115188232961374 0.108848026481458 0.0374263187932014 0.0326102980674317 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.192352924277885 0.186079093758201 0.106557771464439 0.0902662657156721 NURBSSource NURBSSource 18 181 1 NormalsMax KalogerakisEstimator 0.00554512675963257 0.00155127683797545 4.43125216681387E-05 2.71654257902339E-06 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0132673358363399 0.00558896959922864 0.000356555508324074 0.000104335704001003 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0166295596858173 0.00749312217548292 0.000492462157874012 0.000141836632189683 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0195768290954078 0.0112498807227516 0.000467408723633199 0.000248230649349362 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0305036304919373 0.0283209441083454 0.00126292693434313 0.00165695068865693 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0454248298922837 0.0484666495856104 0.0034342232808798 0.00508163710052318 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0172158257126189 0.0104502946218443 0.000433063466188118 0.000252760204458064 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0198389304369586 0.0161424144436386 0.000505933984001373 0.000515767505535705 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0286821396273497 0.0296650039564571 0.00146169969719741 0.00192080885350262 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0807924739581358 0.0916145394787378 0.0166923734254664 0.0206198537493218 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.149156506472296 0.172363283955065 0.0668301368209235 0.0757398217769494 NURBSSource NURBSSource 18 182 2 NormalsMax KalogerakisEstimator 0.00651496716779849 0.00768372337788767 5.14896353255177E-05 0.000237783269390406 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0107671080026489 0.0141467023090459 0.00022975242047625 0.000650695271308219 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0132469437045145 0.0205851281149227 0.000425833982331599 0.00138115230077213 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0181731645956472 0.02931955349964 0.000984546037077866 0.00280347637599494 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0255878866330222 0.0433886111934319 0.00180105436808845 0.00574228119904083 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0340576307963909 0.0548857545330855 0.00325539876636226 0.00890079110273304 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0178098829355816 0.0234081956887155 0.000997445087630743 0.00182865410921693 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0222533900687969 0.0313329057018352 0.00122742238839251 0.00294648242278591 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0301373816601987 0.0396585860952016 0.001980407525004 0.00439412895484068 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0682797144547315 0.0732207084364332 0.0119977980876558 0.0143849332764229 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.109738779880071 0.12354992108788 0.0364729298552073 0.0414607413276381 NURBSSource NURBSSource 18 183 3 NormalsMax KalogerakisEstimator 0.00331115048525014 0.00274103425120241 1.68466817023323E-05 3.32996330558394E-05 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00633309983277743 0.00460967016781549 7.60204916287849E-05 8.44777791466231E-05 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00930464417929952 0.00692198892158086 0.000207887909670011 0.000194005847911181 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0103095276111132 0.00869908181543179 0.00025206503879436 0.000297566162263298 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0150108830304967 0.0142273480581808 0.000490430110965323 0.000614218657443335 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0223513759787329 0.0216165415248777 0.00119475837556171 0.00135017712263656 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0120051603072755 0.00905775685100215 0.000361076208009001 0.000287650063845331 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0141521225197372 0.0117769040564244 0.000504647484095212 0.000456216457524369 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0221528272934472 0.0185872749199587 0.00122613494092873 0.00100136045146813 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0614842827202085 0.0513290295610578 0.0106089178016008 0.00695457351544467 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.100818950969906 0.0851512901364267 0.029911630180457 0.0181020943969677 NURBSSource NURBSSource 18 184 4 NormalsMax KalogerakisEstimator 0.00496506803349539 0.00342397373738103 5.28582593521376E-05 3.92208002376499E-05 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00745665217021164 0.00530544650501138 0.000121220704922828 8.44688165704905E-05 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00973640914786119 0.00744028950093792 0.000232789447714712 0.00016700880557617 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0118209269993357 0.0100430616125451 0.000372132419641477 0.000312951326338558 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0193645346301757 0.0190933457932847 0.00101781490392383 0.000957415081195664 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0297206410720137 0.0290437478537988 0.00243788935273538 0.00215905886190269 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0115949334414196 0.0101322892611682 0.000366116427209988 0.000302727507355275 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0164140735492865 0.0160756945549253 0.000740935318240159 0.000747267499891603 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0269113442707386 0.0273183610635112 0.00202962945021973 0.00189924709427175 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0758039954376433 0.0751087665496555 0.016222587028058 0.0139795130939693 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.12804079312843 0.123323604675901 0.0474634166266683 0.0366939893329359 NURBSSource NURBSSource 18 185 5 NormalsMax KalogerakisEstimator 0.00527576390818365 0.00249504305146716 7.73104870391794E-05 1.99103674898455E-05 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0129635591863036 0.00375452800125218 0.000548336452772589 4.19898787469804E-05 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0166926405469355 0.00527766020149961 0.000877349855239108 8.47240336793186E-05 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0198563322943882 0.00845073437433763 0.000999236136122042 0.000333745856728487 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0384079893393679 0.0196524493315578 0.00344074291430131 0.00100097546325469 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0593638565518134 0.0319852088437608 0.00846458796529862 0.00254707830448801 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0193679525087265 0.00740948454334517 0.00125099251081563 0.000210071629541395 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0249058831012491 0.011874302410719 0.00157276258426014 0.000391486241941814 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0414246703419138 0.0221972576655927 0.00412049338326628 0.00132106092576567 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.11616467454233 0.0627677724523146 0.0342527599794063 0.0103112516520716 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.203523365723658 0.104234076677248 0.107107800232964 0.0275449225252273 NURBSSource NURBSSource 18 186 6 NormalsMax KalogerakisEstimator 0.00736948109235074 0.00279969098901728 5.29324866006931E-05 3.21529720060026E-05 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0128851441567164 0.00498266352151073 0.000374982279715559 9.12657037339664E-05 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0164316476515453 0.00693335124481133 0.000717165444069142 0.000172083428900124 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0183673531853508 0.00952699973516176 0.000751195783416285 0.000302597343245141 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0316451808038558 0.0205780431260049 0.0019295927822535 0.00115095843881038 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0496902823406922 0.0331565372632218 0.00524633764508262 0.00292593231673101 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.018597092443576 0.010273686196209 0.000866042844049466 0.000383422878817432 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0247056059433329 0.0158000556618551 0.00122608328157377 0.000690526269332411 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0422547737883593 0.0288813269131495 0.00383387768079369 0.00222591057227794 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.124305245016871 0.0847228229097161 0.0385989647059512 0.0186004803088247 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.214802358410024 0.142699649718729 0.124092793751418 0.0518362589504907 NURBSSource NURBSSource 18 187 7 NormalsMax KalogerakisEstimator 0.00304760598904775 0.00861754576676695 1.22294386383628E-05 0.000271875898865872 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00591391995082187 0.0150570657200539 5.83217557295876E-05 0.000657365512218571 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00810834755722714 0.0202162197271586 0.000118455912945434 0.00124757412295861 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0110965156269165 0.0247836313147032 0.000221508462287124 0.00180917752009349 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0229254749399249 0.0344854677877436 0.00117117379613633 0.00338747400782316 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0358806092839972 0.0448491671871933 0.00316187257591337 0.00502191702368963 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0103736460462955 0.0281818671100924 0.000219306772001904 0.00289969243412386 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.016072611953618 0.0343688097455971 0.000548788772169505 0.00416682434553551 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0257126765184958 0.0382842165091476 0.00143508930511237 0.00395593411096004 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0723963243493701 0.083808395879711 0.0136836184035147 0.0187348674768331 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.123968305213171 0.136143466649263 0.0435454958557887 0.049433727571335 NURBSSource NURBSSource 18 188 8 NormalsMax KalogerakisEstimator 0.00172924892145431 0.00829283009203069 7.70529418304369E-06 0.000261715870268995 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0045092470497582 0.0174187390123465 5.32076779435719E-05 0.000919470593990733 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0069807093469344 0.0257226670775983 0.000133916423406922 0.00228486070008778 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0105739765907306 0.0359308180538685 0.000296306826284296 0.00510122603343763 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0262261886718365 0.0502725012601802 0.00187769585506889 0.0117622196463344 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.042231519876842 0.0578990097558219 0.00499240374127885 0.0100589454854439 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00804197631190881 0.033728361823455 0.000191200838913033 0.00389046851933774 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0130375767880847 0.0399814570370544 0.000484263246746504 0.00631431830867199 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0239167975986807 0.0482976807323331 0.00156202826072897 0.0078968355008013 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0735533010951671 0.109050314268658 0.0153726688896623 0.0282213352531757 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.127630451146875 0.178009029920779 0.0486601336390018 0.0755207815123136 NURBSSource NURBSSource 18 189 9 NormalsMax KalogerakisEstimator 0.00379891176865004 0.00704325725066476 8.27220605282485E-06 0.000105663709395042 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00712572883434487 0.00957345119863996 8.85372072735145E-05 0.000173823774862743 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00927407878774627 0.0121753423348495 0.000170746803412731 0.000296508644425072 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.013228334056667 0.0164604574836152 0.00034753931841517 0.000540575990636194 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0310195341338168 0.0303031618105276 0.00232671124292592 0.00183762075898279 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.050194866008019 0.0456354313322431 0.00651425651093987 0.00439897609482167 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0123549258896812 0.0157527888281354 0.000280800259773312 0.000487427225164244 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0206620489422014 0.0217559441274878 0.000872689636987237 0.000970385691497315 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0385470301247126 0.0324015327058041 0.00333718000968866 0.00210269556938259 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.115992105111646 0.0831959635177793 0.0335738748597132 0.0149635373821735 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.200257714978912 0.140058128157707 0.106783029444191 0.0412673084260476 NURBSSource NURBSSource 19 190 0 NormalsMax KalogerakisEstimator 0.00917148467558012 0.00328428385789681 0.000306825150926184 4.96213620282733E-05 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0159978130892767 0.00654445880620993 0.000749471957329091 0.000157401620219019 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0221101908412309 0.00970776948192135 0.00148281161385311 0.000335839279911517 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0294804672430234 0.0151008247064035 0.0029650525817371 0.000779550389664642 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0463248280167397 0.035423211994048 0.00641460067191887 0.00367339038183479 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0698991526749926 0.0573691941264657 0.0137067349351304 0.00921899605923523 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.02572113118827 0.0141630443177477 0.0021203021221752 0.000711708373353068 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.032629948891872 0.0227067347059929 0.00392530154092431 0.00181230350474491 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0462768139361751 0.0400458160872996 0.00766532232768324 0.00519211594720953 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.115052123067503 0.114864042509876 0.0404398374237279 0.0387732763880512 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.196321795015684 0.194097464975895 0.11835360023523 0.101575656066971 NURBSSource NURBSSource 19 191 1 NormalsMax KalogerakisEstimator 0.00390984938113429 0.00136033708000496 2.38664945886327E-05 4.02700091151493E-06 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0147534697160575 0.00596717361806695 0.000553938208355195 9.915081512818E-05 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0172844255736553 0.00812978028310396 0.000619710069934641 0.000161365874960486 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0194337076979026 0.0116234563610126 0.00055098649053105 0.000236546435709862 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0387033191578401 0.0280670467922133 0.00293694397897492 0.00158405727860839 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.061845790502333 0.0456671938573367 0.00845200901473085 0.00445969381107166 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0205302463112553 0.0114414630983555 0.000736058938938641 0.000323641092303441 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0268828033626178 0.0196409251630395 0.00111223169314636 0.00098350851322262 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0462209010567037 0.036957824268901 0.00419674964765006 0.00344439682200125 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.133514599065017 0.108966770303436 0.0423464658513052 0.0289352467633985 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.23375420735907 0.183217488466653 0.138532909408569 0.0755778815783519 NURBSSource NURBSSource 19 192 2 NormalsMax KalogerakisEstimator 0.00474343659312843 0.00666768459694265 5.35053936550199E-05 0.000230095054050111 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0089593628017557 0.0141665447374363 0.000252379774383585 0.000699886034005972 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0128649954540985 0.0236311668570598 0.0005639670831724 0.00192022646661922 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0188061041716495 0.034843627548327 0.00111476126492357 0.00445238505569232 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0309222020762858 0.0450214168482793 0.00247755216031956 0.00595461264907399 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0436736320710107 0.0559119059996139 0.00500519036334631 0.00756274995922785 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0168481481009915 0.0295000375941021 0.00083119098217497 0.00326641154818173 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0233992294236517 0.03641498128197 0.00152166233607078 0.00452952258713401 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0313557129742289 0.0430624784384888 0.00211484808629892 0.0066210377654678 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0748177858040496 0.0886675844452932 0.0138419584477441 0.0241365555694923 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.127288032208636 0.145762183317147 0.0460890333628646 0.0685397023706588 NURBSSource NURBSSource 19 193 3 NormalsMax KalogerakisEstimator 0.00286308340223138 0.0020879710060064 1.15098653143612E-05 2.5291712419672E-05 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00888059179676981 0.00413698896661407 0.000171913803218143 7.44591127656052E-05 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.011795526014694 0.00586344175368455 0.000364650443015364 0.000147570763721742 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0117248083828638 0.00746775941997168 0.000268595653819111 0.000210556986964927 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.020133494370961 0.0158647628394076 0.00079573358647088 0.000739962403700783 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0312146910762075 0.0251487810670934 0.00215936445476648 0.0017264789308673 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0123043582103595 0.00717045634939924 0.000318135460899803 0.000197533531599027 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0161333621600519 0.010219176314439 0.000575978387297837 0.000343301201040895 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.027633979344507 0.0174075872483347 0.00172624882176554 0.000852980108726619 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0802702894685368 0.0508050767818417 0.0167877376399269 0.00622427580716743 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.138806144571404 0.0877162189326092 0.0543532059516625 0.0171127522656759 NURBSSource NURBSSource 19 194 4 NormalsMax KalogerakisEstimator 0.00497383549618274 0.00190944206959796 4.79750250263022E-05 1.18424176503775E-05 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00763263975807881 0.00340304382573968 0.000116343881832912 3.63821729462311E-05 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00839573267111222 0.00485617554241855 0.000150483197736704 7.29142399594188E-05 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0105189072381108 0.00774993786795057 0.000265420555349036 0.000180923373850499 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0220319272592322 0.0192444052394549 0.00117795067928638 0.000973101605432891 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0357649317388617 0.0318539589947797 0.00323167583527966 0.00268362584897122 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00983439232643107 0.00631014621920158 0.000192462418753937 0.000113206195007177 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0139710623376449 0.0102035227199848 0.000419295215736959 0.000266418577939521 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0246099488575583 0.0182686277059702 0.00140246706425038 0.000825830484902282 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0746987266426299 0.0527100552527895 0.0147911279166225 0.00669046700531714 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.132045590546478 0.0904134233141402 0.0503612934731 0.0187990948420385 NURBSSource NURBSSource 19 195 5 NormalsMax KalogerakisEstimator 0.00418807210368603 0.00153716947710223 3.50561192542987E-05 8.52812883722696E-06 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0103210772954359 0.00355220678376421 0.000290228409832852 4.31501961085606E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0149165300551498 0.00532698898190468 0.000706816987126068 8.34374886016463E-05 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0191878044640427 0.00908852056340041 0.00123246602716196 0.000259766937792044 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0317420886078729 0.0230867242512028 0.00258407817290037 0.00134871862668485 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0493345557416335 0.0382366693453664 0.00639869718161003 0.00363670216266115 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0193707546793605 0.00726197576347146 0.001488918720584 0.000249975873983689 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0225395247836538 0.0114797817981011 0.00172014591526916 0.000331226371442561 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0330274494770921 0.0215121757084369 0.00277775753527796 0.00114135541783231 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0945017682416816 0.0646860862134259 0.0243793139632824 0.0100662262391169 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.163538288795931 0.110439358693652 0.0758882142382263 0.028190553258648 NURBSSource NURBSSource 19 196 6 NormalsMax KalogerakisEstimator 0.00615041394277781 0.00251948688386964 1.8298822209604E-05 2.0669949651266E-05 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0106131084779236 0.00664831955061399 0.000206264798946518 0.000137761019529772 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0147165649375478 0.00988993059349031 0.000518231629866478 0.00029017480194143 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0164402279555424 0.0131733159976975 0.000504381016654578 0.000459528755391694 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0316462678951164 0.0314126366309692 0.00202592418620271 0.00258112919300544 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0501197538221086 0.0509419624556373 0.00562726061726454 0.00684079893691938 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0187408814575377 0.0108217580848153 0.000827118840770075 0.000341175615560083 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0240888809706988 0.016762476856054 0.00115196428020342 0.000779821965714899 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0405698531393856 0.0301782583817825 0.00378267782529249 0.00252139966118472 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.114494470654156 0.0873863363498717 0.0349232283796952 0.0203181734588991 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.196648903809587 0.148801159449138 0.106817964464559 0.0568861633289361 NURBSSource NURBSSource 19 197 7 NormalsMax KalogerakisEstimator 0.00285714062789016 0.00516367479013346 6.56854680011539E-06 0.000116743071915081 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00524066633464958 0.0143244739783386 3.02766481552865E-05 0.00055712309239411 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00703143441256436 0.019268951306219 6.16258940809883E-05 0.00111120998191012 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0102476239216383 0.0260887340662876 0.000159513172127629 0.00208612273149643 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0224151183305816 0.0427085091412306 0.00106546692535388 0.00531281018272572 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0357954029008709 0.0594526437528915 0.00299263139808711 0.00930082928320999 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00870609110994278 0.0243271302476821 0.000113250678086685 0.00219453931110526 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0133004816378897 0.0308099258606661 0.000323047972965305 0.00378895787694258 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0229541689592301 0.0383026229205326 0.00111647457081528 0.00369212135973865 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0650282297168591 0.095450159627358 0.0109090610787944 0.0216914788558451 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.107723811219683 0.16873711625179 0.0318703016715185 0.0677632688722425 NURBSSource NURBSSource 19 198 8 NormalsMax KalogerakisEstimator 0.00103464081724009 0.00511755658505081 2.64282509992719E-06 0.000135741474852733 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00329025748314969 0.0196747026625933 2.63656016583205E-05 0.0011442723405256 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00533188964790645 0.0273260673721109 7.33695836737454E-05 0.00227022947199363 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.00899703697071413 0.0310856892179095 0.000213445277683679 0.00307165448535997 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0241765177921405 0.0492226678380388 0.00164538977110748 0.00583521011994398 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0401594242373366 0.0725811787325454 0.00460211794084849 0.012634281618737 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00666055857136358 0.0292819928852857 0.000110351611995097 0.0029731253669347 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0117368480055581 0.035052463039929 0.000351501489247117 0.00457053262903833 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0219231307260205 0.0434447498702873 0.00121912093417649 0.00446202873461836 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0656740897796584 0.113308380680283 0.0117696084387683 0.0325505946157458 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.112468572700916 0.194646231722415 0.0366384455490104 0.103235540260451 NURBSSource NURBSSource 19 199 9 NormalsMax KalogerakisEstimator 0.00301802967204754 0.00498437130645401 5.98709265278531E-06 4.4366057503249E-05 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00624983279912569 0.00894316573249648 7.01605360662446E-05 0.000152735983222095 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00864932817791588 0.0125900984137234 0.000149440672953435 0.000355579916367688 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0124396810611275 0.0166716622932995 0.000323025031383275 0.000731311514759767 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0284588979500432 0.0268460148676353 0.00196304677015899 0.00165578705863201 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0463615818613084 0.0410922235147372 0.0055882724552562 0.00402695567926614 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.00940643390763196 0.0167305124234773 0.000181453234201561 0.000735591671315545 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0147594267247295 0.0223055478019765 0.000494482395327879 0.00123530433632479 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0266746860921015 0.0336551512542463 0.00179930739242017 0.00268941329927256 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0807277429225754 0.0903096829259899 0.0185102551409223 0.019985705547962 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.142415781451759 0.152923161301476 0.0594436637494048 0.0559685163144171 NURBSSource NURBSSource 20 200 0 NormalsMax KalogerakisEstimator 0.0237799591250898 0.00963168769643181 0.00198814219078203 0.000385182586902428 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0261447824380213 0.0115881852456764 0.00262867425973372 0.000516866639445049 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0298397085986763 0.0153659808869006 0.00327710877029119 0.000883317068837911 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0361588665756873 0.0234898949946622 0.00496243145787614 0.00197001146880546 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0700342749106875 0.0578424545286066 0.0175582782756931 0.0108983747133134 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.110979265234059 0.0949777953298703 0.0434488023262704 0.0287944294410662 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0323080447099445 0.0240709816739819 0.00363494810605185 0.00201708458638769 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0430481867563383 0.0409051572258812 0.00606534321707604 0.00559911946256593 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0716594662803796 0.0763382828697151 0.016052953922532 0.0187377870558745 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.19935406681222 0.22047645199947 0.126953324914291 0.137758503346665 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.3422437186857 0.361828455637392 0.387958074016193 0.350062248245772 NURBSSource NURBSSource 20 201 1 NormalsMax KalogerakisEstimator 0.0181692515866223 0.00595156402198402 0.000449661933733541 0.00010511839895352 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0214450923770622 0.00921784405535682 0.000619655427605813 0.000256774000359799 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0246713561970667 0.0136220143836646 0.000854108452283984 0.00057521980064538 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0354773135915883 0.0235356440962432 0.00224676404959397 0.00171808356155321 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0911874001771486 0.0627986514942139 0.0198865643776507 0.011539772081896 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.149620914590103 0.104351158626865 0.0572240274007418 0.0306700657717881 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0255771742623058 0.0164905464630732 0.00137192182958485 0.000725392387653723 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0412290299904671 0.0303834403909945 0.00448385279914861 0.0024536660615509 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0796982207869511 0.0584090501941584 0.0194900821865112 0.00915844549506633 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.245547987552625 0.16495218815322 0.212008114449032 0.0664393945438111 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.423215914868185 0.283086971259164 0.679181798119845 0.174071536520095 NURBSSource NURBSSource 20 202 2 NormalsMax KalogerakisEstimator 0.0122200946161372 0.0274229547543193 0.000356190174239928 0.00315508791418306 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0143855309112759 0.0297245252482771 0.000520316525713606 0.00355790438557763 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0172689761002324 0.0329235158139853 0.000840801487482353 0.00408064361201323 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0219598161349086 0.0402315222525524 0.00124287218522413 0.00555106104118143 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0443730749058487 0.0668315715496493 0.00536154135693243 0.0125924695066849 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0693442721638387 0.0952960018806114 0.0150940651017008 0.0238735347981929 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0194974942449602 0.0350161555585799 0.000867946320273082 0.00377571966016859 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0262082801786098 0.0425502721589689 0.00147509221904068 0.00465371277001443 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0428314966635006 0.062930604248589 0.00436087372502117 0.00960142868889967 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.12242678226696 0.160701939737146 0.0438662985699856 0.0632123937198142 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.207766063796419 0.266627693536702 0.144024768059976 0.171286432267283 NURBSSource NURBSSource 20 203 3 NormalsMax KalogerakisEstimator 0.00942020752582412 0.00460041671748817 0.000133196090110469 8.85982464151797E-05 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0116166805136649 0.00595167757400795 0.00024336219404142 0.000128435055189446 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0135290389295092 0.00754431623176634 0.00035915868171669 0.000191630204535661 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0177085840499566 0.0107428110022683 0.000631130793248786 0.000353613670929975 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.043283640313402 0.026871317583185 0.00450499406757419 0.00199056679699043 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0703812800373521 0.0434100350201967 0.0127037467984363 0.00497308963242706 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0148090856665541 0.00957583854313455 0.000441995905616376 0.000283519497337339 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.023063667459776 0.0158773811781879 0.00125461861900928 0.000707713971679482 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0421064548546414 0.0296410182651369 0.00463163444707155 0.0022624823997198 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.125882010576741 0.0873672064920383 0.0479928225738218 0.0168989504563354 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.206794651228215 0.147236508951794 0.138987712467561 0.0413578715825328 NURBSSource NURBSSource 20 204 4 NormalsMax KalogerakisEstimator 0.00896931611218108 0.00643431325138909 0.000135549614184737 0.000168935371421074 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0106894934926698 0.00699239661459686 0.000204514321066113 0.000172626111722376 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0133436889023859 0.00833105258509831 0.000362161369282763 0.000205077766315372 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0202997315603116 0.0118951594148914 0.000954628815696228 0.000368097224933278 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0504121338162893 0.0277499258809719 0.00678266279973084 0.00183855376317065 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0818684217416819 0.0442801431693377 0.0188476260663275 0.00465868329597624 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0155495253566171 0.0128960696899014 0.000568620795463901 0.000523093282390897 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0260098139952131 0.0203453039121654 0.00181170142353232 0.00114451106829891 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0504999611236575 0.0357557364839031 0.00724232754551985 0.00333674388204949 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.146662494436303 0.100572065425634 0.0645705581744171 0.0242301435932023 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.232597998980447 0.176735402778616 0.17676226382657 0.0704192203547274 NURBSSource NURBSSource 20 205 5 NormalsMax KalogerakisEstimator 0.0165085364754838 0.00335320165950263 0.000480115536602154 3.7391007260984E-05 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0174994903296269 0.00487339517460521 0.000660915341922107 8.97152883859107E-05 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0192932422581751 0.00712021345536059 0.000879193195609918 0.000182260308186767 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0255465671824476 0.0128021649019189 0.00178496337948246 0.000614508111528741 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0502039536162765 0.0337381769851948 0.00673651992794523 0.00312833556455983 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0799229692768869 0.0559820560799988 0.0183913058449105 0.00842308556202888 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0234026976910518 0.0106002014111454 0.00142781367967568 0.000310471907085905 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0344102030361401 0.0190210041858967 0.00261973636480297 0.000949937830610968 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0631728404262924 0.0375374261755256 0.00964262513580279 0.00363305810964483 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.182883975089813 0.109929479917417 0.090932784181293 0.0280420928870127 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.306375510886303 0.186295106038921 0.270297363665907 0.0731308417413744 NURBSSource NURBSSource 20 206 6 NormalsMax KalogerakisEstimator 0.0138079683695675 0.00675233696174067 0.000229168094058959 0.000138082181462475 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0164857426895122 0.00837949553158547 0.000419037331675112 0.000198497930876041 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0205033149222055 0.0116745757382193 0.000827835435193137 0.000409370019778116 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0279705857046736 0.0172701849931505 0.00154596006942966 0.00080751860357772 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.068138024351835 0.0442251429717044 0.0111013573676623 0.00491949384772748 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.11167129192733 0.0722065880591892 0.0316788431893329 0.0129446105767811 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0207593877515374 0.0157812382114291 0.000704920719340087 0.00069041215077686 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0327537690052395 0.0271470036406106 0.00205806832372593 0.00197804552798138 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0610312547349391 0.0508269509990118 0.0083937277546288 0.00684627083042505 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.17802505263676 0.145445473574616 0.0831935087239899 0.0536810027855454 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.296670640870664 0.241857903155843 0.250440562305768 0.136469202363244 NURBSSource NURBSSource 20 207 7 NormalsMax KalogerakisEstimator 0.00657607442893795 0.0212701878864907 5.95838498724986E-05 0.00185846748854816 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00734074002805462 0.022592999334985 7.72023183823421E-05 0.00195612361233284 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00852049689822658 0.0256389856495207 0.000109082814599086 0.00241046667697366 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.011605989511804 0.0309493772858638 0.000214478937199262 0.00246391244126948 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0282060023817614 0.0646633082584411 0.00182573933313751 0.00966196519033168 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0464769300496404 0.101483847267386 0.00553830347482452 0.0246946003044224 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0128971016065788 0.0301649531088961 0.000302077634539327 0.0028325817728091 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0214253988566495 0.0455603544553355 0.000957805542016587 0.00694404258652347 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0408804357563706 0.0740521076138492 0.00397394811178771 0.0153466850931289 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.126116420156945 0.215034694498168 0.0442810835526451 0.135934611600326 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.220968759528747 0.360542524362687 0.154780721913714 0.374802446331451 NURBSSource NURBSSource 20 208 8 NormalsMax KalogerakisEstimator 0.00361477936261432 0.0238724824178414 2.44148019072115E-05 0.00309846284984416 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00473607737883966 0.0243517462280062 4.71687515966871E-05 0.00309601739827442 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00712734521846606 0.0247814071565878 0.000115932873037841 0.002608459348026 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0125539244720571 0.0320041134564173 0.000393349257955207 0.00320798861500341 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.035566199367741 0.0684190632130787 0.00342484744516406 0.0128636117964947 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0586502029273872 0.108176850542351 0.00976707844461252 0.0321079229133378 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0121045832888858 0.0305964315454242 0.000333715344587032 0.00318533284846442 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0225183059257345 0.0427306097522677 0.001243883685838 0.00478244224223187 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0443206370655309 0.0692163936776777 0.00504268981906789 0.011138910860198 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.130283832991614 0.190033130012178 0.0484601383599164 0.0820646333275786 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.21513422044984 0.316740104338852 0.143867980407524 0.221673980104639 NURBSSource NURBSSource 20 209 9 NormalsMax KalogerakisEstimator 0.00733716246390202 0.0114719187090201 8.8805087481571E-05 0.000348490074002744 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00911833872684851 0.0140155983820961 0.00014786295822134 0.000519355801794953 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0116034951908749 0.0174823581880882 0.000259877955719942 0.000767220931013254 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0183385332423493 0.0245846260023006 0.000725381873136135 0.00156041003431271 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0492118589791092 0.0541480693904513 0.00632107939820465 0.00761126774267087 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0821843419123108 0.0869302057894968 0.0188419680409493 0.0196392431027041 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.014764595506952 0.0195081929488173 0.000513196373779959 0.0008874182877358 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0253700490999303 0.0295317813648442 0.00168894343722047 0.00195467306741064 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0482096213801338 0.0515867623926443 0.00638409861205843 0.00608889845710171 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.143600167574332 0.146253403925669 0.0626961130336614 0.0487043382897505 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.241954691327698 0.24306026771649 0.188559683005833 0.12935345490607 NURBSSource NURBSSource 21 210 0 NormalsMax KalogerakisEstimator 0.053019692460005 0.0312361937739949 0.00925542010879902 0.00462942912108282 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0549712027961512 0.0432939076930328 0.00995601972043861 0.00975613502245436 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0671140832531608 0.0648773922381958 0.0180009930447578 0.0291189397361227 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0999436505428966 0.1197340279196 0.0513639262481971 0.153764632702421 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.267083592360254 0.380965726711804 0.42056540208332 1.99863409269482 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.427491685154942 0.578403456680352 1.0811763279292 5.36234943230172 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.102117262788329 0.0993605260712997 0.0486515988851707 0.0485228455636739 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.161366362097273 0.190852172945517 0.137791658312655 0.21426961582173 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.278098869344197 0.3727549219004 0.616962720775377 0.794422226124141 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.92809805616866 1.16322207499887 343.685978855563 18.4426422542417 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.96516047693055 3.05984499662727 51.4481537196541 362.368710991175 NURBSSource NURBSSource 21 211 1 NormalsMax KalogerakisEstimator 0.0325410220953648 0.0304214131564643 0.00162333602655192 0.00578300249702162 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0484932858645391 0.0514810221147988 0.00624689724150208 0.0130570439357424 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0736585056183067 0.0784414396876423 0.0191615846696083 0.0374813462829591 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.130063865107962 0.139328525978839 0.0751536515172834 0.126584826255713 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.359414128839135 0.415850936044036 0.788625985134863 1.12555978835265 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.597563663668486 0.863130996416868 2.77662401228835 9.08652971626537 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.123590948400196 0.102627377783978 0.116669336252866 0.0440732525033531 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.237016663457584 0.181653850583918 0.557539593751333 0.130460100611857 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.493831475682276 0.354564401642842 2.98768446833859 0.471735586131186 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.33087654110228 2.00713319091946 204.319023066776 95.8913436289494 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 3.10519576141119 3.15349205173256 136.779068842903 226.41761381728 NURBSSource NURBSSource 21 212 2 NormalsMax KalogerakisEstimator 0.0279259176675402 0.0684756497346689 0.00208978704522738 0.0231865386365731 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0324873214468011 0.0700827444085714 0.00352772880103253 0.0241330388295532 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0426476621907622 0.0771417546714846 0.00821293813348589 0.029138901093513 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0658701682632106 0.0924397242289508 0.0296987794317246 0.0402530893637288 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.163941948430331 0.172381606798995 0.268877656869655 0.105995725197502 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.279246550325004 0.26815468674513 0.836875627986207 0.230985931354492 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0597264824880967 0.0924795160854398 0.0100587722874238 0.0372312515411508 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0964468341339243 0.143472231589604 0.0309576167999001 0.084970982374459 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.176132849116553 0.24267000106941 0.129361780368215 0.232179963664286 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.722357983363917 0.786035983809556 8.15037507156777 3.59178710725509 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.49795549154679 1.53231169780632 66.5473499701228 31.499808096799 NURBSSource NURBSSource 21 213 3 NormalsMax KalogerakisEstimator 0.0202649458402083 0.0116869305928521 0.000703531711523428 0.000566243005349285 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0312924247548554 0.0244867536435904 0.00331023482423277 0.00463426000011557 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0472330797879446 0.0410025421711756 0.00965451890781869 0.0181699944780508 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0798097203407208 0.0762891694813605 0.0311238694942993 0.0696707234771861 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.200321398325656 0.224361438354728 0.221674309054638 0.461550819290496 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.332384433950732 0.372617705727341 0.725997859094277 1.10800993534694 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0593977269554956 0.0451980965385408 0.0130228790653989 0.0137737679253779 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.100803774543843 0.0943625385203134 0.0431322222362544 0.0636696290552924 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.292195662042315 0.297722336211828 10.1325894713477 7.18632779278592 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.684296909956242 0.799083054044744 16.196862770267 8.54756703817204 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.62678221844167 2.615232925537 98.7309255200713 802.054374805705 NURBSSource NURBSSource 21 214 4 NormalsMax KalogerakisEstimator 0.0208285485414427 0.0181353866609416 0.000794769265284678 0.00226143041533032 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0308194703810719 0.0233018134332853 0.00290472606593306 0.00281627048854177 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0455374973695059 0.0332678541353041 0.00854198665666083 0.00488702798246671 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0789129423601999 0.0577210944296607 0.0317878781068265 0.0141289920546989 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.283325857824701 0.193697739599657 3.98579145792268 0.678804640969543 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.403725485676645 0.285985490627531 1.98617726456158 0.426109089438265 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0584428704898077 0.0427688875198359 0.0131372945084215 0.00830086066496207 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.10868536685845 0.083118352590156 0.0528529985321922 0.0337062731898323 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.266410940690974 0.168540292537814 2.61449278691202 0.387829840876551 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.00373345323837 0.725349371195053 38.2832061068389 19.4918211718754 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 2.02709789248162 1.28150995523908 125.986265046516 61.726846443519 NURBSSource NURBSSource 21 215 5 NormalsMax KalogerakisEstimator 0.0357029296700211 0.0117813645749325 0.00233122118304636 0.000691346937453608 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.043833244862434 0.0332559794641606 0.00646276740063176 0.0498447638386778 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0603214485950272 0.0613550537365429 0.0178098308843179 0.259655283557873 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.099712007105477 0.119444417744659 0.0678904656699905 1.34460237359921 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.271281769690976 0.290140159830919 0.704498490364049 6.34340998006858 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.529696206974963 0.661117578589781 7.54878101397445 52.7602807172455 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.103134366150281 0.0501591705706678 0.256457623197917 0.0127629362945834 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.241498460325856 0.0995766781926483 5.32138882391129 0.0613289438502166 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.415373715647651 0.209039131970121 13.3652252536134 0.307155362810804 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.715289789720242 0.668127062545288 4.26692988823256 3.21178832456351 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.13882486445827 1.29677453914459 11.1707841466735 16.8148192506317 NURBSSource NURBSSource 21 216 6 NormalsMax KalogerakisEstimator 0.0370226735111656 0.0255961327395458 0.00267429741809792 0.00262398784326943 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0419732277874133 0.0346027801473471 0.00376013635413991 0.00484266461583382 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0550700190943001 0.0498414497761809 0.00796052890964553 0.010203004174316 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0933332615768769 0.0860847458676962 0.0307344054223031 0.0332520797945545 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.261269057341977 0.246682487942024 0.450814697147885 0.278786026050956 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.433400651776939 0.467073614879962 1.27561031402531 2.93389383900374 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0956721678679053 0.0734138432189177 0.0737949212041013 0.0296995810490323 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.167861250497551 0.13129732978179 0.338701243156704 0.111161477806021 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.325684293458104 0.287097832076647 1.82323302311935 0.700270155996783 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.00400699337186 0.902041038065978 31.0749319733145 6.80592490999419 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.42541505363317 1.49676944111522 31.7551661809258 19.5399178697785 NURBSSource NURBSSource 21 217 7 NormalsMax KalogerakisEstimator 0.0117804036620745 0.0586112991319865 0.000290962792676564 0.0166207061622223 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0181893802226627 0.0669214737546327 0.00159822603344545 0.0249016112588787 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0319386338552287 0.0819099000868673 0.0168212924892226 0.0366594312713334 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0716232403496929 0.118861719731362 0.225975062467073 0.0680308616353396 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.214325742931565 0.700227452497769 2.43620422403219 132.50650160083 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.359711283555528 0.997708698387109 4.55932612191198 130.974054575446 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0460145973394823 0.0990379676880544 0.00993594727035658 0.0400166635338577 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0912830588971056 0.166882725929385 0.053029275763293 0.111427800994807 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.225211648800499 0.297692617496868 1.43437912292119 0.320249196629011 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.905259403642275 1.3739187083604 45.5742525036719 169.066138189225 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.87712302073267 1.42629041085966 296.355164193266 29.7945931036725 NURBSSource NURBSSource 21 218 8 NormalsMax KalogerakisEstimator 0.0116577800092383 0.0552251024595976 0.000316126656464075 0.0162954444888682 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0205993150692477 0.0616738660957201 0.00162938171105401 0.0160875719019227 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0329266379936675 0.0729317832456906 0.00540577993709063 0.0196829219330968 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0619419328863462 0.108793349830248 0.0239026330649243 0.0425054547165615 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.207614796816706 0.283762411707633 0.372831395589582 0.255558255639997 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.425786884325026 0.541306873319411 4.44875266905196 4.83870271520993 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0428175067845175 0.117931427416971 0.00781116693816524 0.0582649713743275 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0854200911950738 0.193849799004802 0.0381146554107671 0.159010170335564 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.200420069771933 0.344674377130372 0.282447962818912 0.480431120988959 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.93119214947513 0.99447790883161 18.1407804789903 9.78497904127283 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 2.71975166443563 2.68165915321746 1039.57440150439 241.636038989495 NURBSSource NURBSSource 21 219 9 NormalsMax KalogerakisEstimator 0.0258263981124368 0.0346750785026171 0.00167584652250509 0.00564524672847636 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0345191711761382 0.0419357684536695 0.00387550440311165 0.00955322600980897 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0498958220931811 0.0569792202649164 0.0103079298806728 0.018462934554181 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0845034683087892 0.0903159747683273 0.0376169770749512 0.0410586280096305 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.223876821551197 0.219632693683923 0.320797161082206 0.199640792292178 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.727057366593402 0.510917204974708 59.062792603046 10.4554219475915 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0960195482944203 0.0890828295699022 0.0728388535887306 0.148401847689422 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.165294120860071 0.165226155404944 0.243674639518645 0.458308810340802 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.311090412218692 0.289783408790101 1.19846701108946 0.725421799372616 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.730245028030608 1.05716511713951 4.67265285147853 43.0889884627668 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.33045030436829 1.70934614619994 27.4776053559583 81.7339982022862 NURBSSource NURBSSource 22 220 0 NormalsMax KalogerakisEstimator 0.00419582149180231 0.00148953587610855 6.33797534966093E-05 1.01164759228124E-05 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0121207095442829 0.0079180700275259 0.000467502790687143 0.000211789120730936 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0166665289342527 0.0134553125995288 0.000866875221168896 0.000584279842130299 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0266073626452859 0.0248545746121618 0.00211808310403508 0.00196395125426723 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0708565612428122 0.0726979091943528 0.014814509470544 0.016238551603544 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.11723225286899 0.121544160419129 0.0411054720203144 0.0446775078946707 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0220554673298424 0.0200361628105342 0.00154500568247348 0.00128682526318103 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0379789312290672 0.038467814007365 0.00430123776760559 0.0045727248196148 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0724506573452683 0.0759875617049275 0.0155698055554114 0.0174031143344707 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.219345333721092 0.234792466061189 0.150012996539434 0.157132053011516 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.376658397356422 0.413242451174059 0.471070002732408 0.461839296268888 NURBSSource NURBSSource 22 221 1 NormalsMax KalogerakisEstimator 0.00153410866690424 0.000948606122999943 3.64398475869418E-06 2.40841385976482E-06 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00831279003807901 0.0101876892239693 0.000171942324185345 0.000572227474589236 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0112669935230993 0.0132896185694265 0.000271469443509489 0.000531810806581571 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0191799430534 0.0229582739415656 0.000838110270463511 0.00135530610888748 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0541760550735485 0.0658886261117635 0.00756365538036197 0.0117561845597027 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0909835044420685 0.111638054343165 0.0223708770136028 0.0339392786629856 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0153174464123817 0.0187865106700883 0.000550877900215144 0.00101545477740537 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0283043064032963 0.0352569517383317 0.00201100667266837 0.00338917813853502 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0559593320493619 0.0700647864476579 0.00833014874894933 0.0136019753479516 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.181955204706916 0.232188077488659 0.101087959045823 0.148473309442328 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.345821554999817 0.426153264649404 0.430615838104764 0.464761214016387 NURBSSource NURBSSource 22 222 2 NormalsMax KalogerakisEstimator 0.00190739873894254 0.00516276721369422 7.53068801487512E-06 0.000137627150229644 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00753900036679115 0.0221900822046661 0.000219034769830465 0.00218891616144762 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0109904375162717 0.0254491089853247 0.000430797331138 0.00298421254984537 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0180374395124896 0.0283720024846465 0.00108298256361406 0.00275249400728023 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0507095322598292 0.062801665281133 0.00909174474331093 0.011721287574455 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0845342570107667 0.102551148772934 0.026082120965432 0.0313527740311271 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0147325040552613 0.0296630035209715 0.000649406902807568 0.00387426897799413 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0266078897797142 0.0387541711750721 0.00218750516033924 0.00505612464754778 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0523062544013646 0.0673378685517991 0.00892242549596799 0.0143996975830362 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.162322855906077 0.208905195443924 0.0973848205319033 0.140981786378188 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.289555878593044 0.388294124915522 0.349312826391065 0.491858726004811 NURBSSource NURBSSource 22 223 3 NormalsMax KalogerakisEstimator 0.000985700661489101 0.000808100174659721 3.16601253353342E-06 2.96831148967854E-06 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00518988949062517 0.00538279225308436 0.000107402811554484 0.000112694228676097 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00728275805307483 0.00718193134201826 0.000250845048096749 0.000167845348421948 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0118116546922374 0.0120390416413384 0.00047337532675359 0.000420765440172246 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0321730315151564 0.0340921172888691 0.00282135240472793 0.00318723879682158 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0533427763696471 0.0567263861826587 0.00789271994595877 0.00865225868286535 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0105745518128803 0.00991746106921703 0.000323942129935431 0.00028535091997142 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0193745738174556 0.0181776692201108 0.0010133339267255 0.000896807106371821 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0379839528222574 0.0355116883796192 0.0039464314971177 0.00331260968200677 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.113717774508961 0.107194774788501 0.0375484158338172 0.02817682708107 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.192658249959295 0.181567949196773 0.116002874730033 0.0741155526226061 NURBSSource NURBSSource 22 224 4 NormalsMax KalogerakisEstimator 0.00157131374523353 0.00143207911964574 7.72488708235208E-06 1.31335758474587E-05 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0056971660191358 0.00596681062237871 9.67201251815079E-05 0.000134645595114065 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00852292828502137 0.009070369124281 0.00021223052388016 0.000295825627369541 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0145394710867966 0.0142767870483977 0.000591737883465701 0.000554757428108972 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0407187348096605 0.0374469753903827 0.00465571693284268 0.00352998126007284 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0673769011550868 0.0617728640804976 0.0129944552129058 0.00951249077344652 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0117364464325491 0.0131023995059399 0.000409262872392444 0.000638894785007888 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0215442254514875 0.0219300565410916 0.00136391444306734 0.00141712029014401 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0417381008052719 0.0410974436251618 0.00518510414056923 0.00467273100508638 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.125929445111872 0.122775856824761 0.0501497765723783 0.0395545380638095 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.217396388161502 0.210344439058649 0.160424122588173 0.110072075428248 NURBSSource NURBSSource 22 225 5 NormalsMax KalogerakisEstimator 0.0017471337104608 0.000887115039621289 8.84668946306553E-06 2.62925586426558E-06 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00984689768176992 0.00602009129280223 0.000404030008363141 0.000226101996786625 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0129349287605269 0.00836418560461285 0.000465225901955314 0.000246376609886074 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0226182788721854 0.0147549623618686 0.00134040934206237 0.000594492082849717 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0651703044671162 0.0429264538041837 0.0115512289989665 0.00467680279818328 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.108235516013843 0.0717500891677642 0.0324569135539701 0.01271294811336 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0181614079005101 0.0120615720430426 0.000845278058762509 0.000406566425946755 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0344765330897762 0.023031227162066 0.00311470965895879 0.00138642063452688 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0678388940046959 0.045425985595146 0.0124186891612962 0.00528224023153823 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.207833011854606 0.141414542847007 0.124064743813278 0.045907511726178 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.357452237980927 0.249667584691557 0.395728496337984 0.127227181566494 NURBSSource NURBSSource 22 226 6 NormalsMax KalogerakisEstimator 0.00189793642351363 0.00104521746731481 5.09531335590837E-06 3.98371906314332E-06 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0100138288184465 0.00731990553830933 0.000320809633707526 0.000234647920252574 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0133914877025587 0.0104941485772509 0.000460354441666637 0.00033705135213201 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.023310703054921 0.0184734661106755 0.00143703911650867 0.000913087266520619 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0671669717402419 0.0531078966421561 0.0127506953726553 0.00732509365281627 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.111513545078677 0.0883876944207298 0.0360658983622619 0.0200306431416238 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.019742816096857 0.0145383026114798 0.000990368598682025 0.000538934202480107 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0376072161805548 0.0275703198735817 0.00382708185309387 0.00191435656968813 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0743421890807737 0.0543441568624589 0.0154448477373032 0.00737232364257707 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.225150020270046 0.164401390771886 0.147293117073716 0.0636389995950682 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.395859697125875 0.284397569387886 0.480475799379649 0.175850685404511 NURBSSource NURBSSource 22 227 7 NormalsMax KalogerakisEstimator 0.000762043807161023 0.00294889508380602 1.29707107467563E-06 4.67945956602965E-05 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00496952142299937 0.0151608422901557 6.39579421174564E-05 0.000883861793090243 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00834368107529165 0.0182946791638872 0.000185655641119968 0.00135300701480622 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0153152075839542 0.0234558595652044 0.000635608980453982 0.0019091379574947 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0450616231753271 0.0563265713792516 0.00577392343854991 0.0094241587236817 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0752515902766118 0.0924900186486368 0.0164706242842307 0.0248316346517491 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0140035051125908 0.0215873043985007 0.000547789391278476 0.00167396862712926 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0271960696426356 0.0333213079353857 0.00212403640830889 0.00345899084507563 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0540833066304521 0.0617693330042237 0.00859799049335776 0.011540817435324 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.162844045556918 0.187090763515249 0.0822854915807415 0.101593882874784 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.279069404702154 0.323566145132706 0.256834004407706 0.293544591123065 NURBSSource NURBSSource 22 228 8 NormalsMax KalogerakisEstimator 0.000678279519430979 0.0047490358113445 1.7237629006418E-06 0.000209825671874589 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00572064673658323 0.0215001040403585 0.000135594274614046 0.00225043231967107 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00908391840011449 0.0275259633569147 0.000268921065434404 0.00410477412847401 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0162830681836536 0.0325885368967165 0.000769055326204449 0.0045466393609913 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0473282070898006 0.0693929370568063 0.00640455831166609 0.0146194975917705 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0787559202909039 0.112203599117606 0.0179594346646087 0.0368167833675625 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0142678699460726 0.0314094789152331 0.000623071456130354 0.00452897222801997 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0267416731604421 0.0424324326307002 0.00215122663679307 0.00625188787101905 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0528884167223845 0.0733670751636261 0.00841663503463755 0.0164835543466741 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.16144378495639 0.217685769443929 0.0810749863903708 0.137048702962638 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.277521987561684 0.384498028239976 0.255494051762845 0.413742410666893 NURBSSource NURBSSource 22 229 9 NormalsMax KalogerakisEstimator 0.00110020041911331 0.00214596824991421 1.21811433909692E-06 1.39216602613431E-05 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00595016178310674 0.00753149081529729 8.55114275769301E-05 0.000158953992872421 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0100344869125052 0.0109393975834699 0.000241908031255722 0.000310516924365466 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0190384491727851 0.0177574450614187 0.000913403717938337 0.000758981220101163 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0560060103106694 0.048502728424231 0.00835544300722471 0.00570675577554468 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0932386643572292 0.0802440775996912 0.0239767019789863 0.015404243164688 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0156242447235278 0.015264476135189 0.000617957098811774 0.000590318124558977 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0305017378318795 0.0274308960298483 0.00243504913865497 0.00186788899804535 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0604975518502176 0.0532148815380242 0.00990058107583893 0.00701690831729506 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.182430568047756 0.158592843797771 0.0973918554155216 0.0582676360802047 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.314870440286321 0.271661377659184 0.308172863724009 0.158527701513418 NURBSSource NURBSSource 23 230 0 NormalsMax KalogerakisEstimator 0.00315080461785023 0.00105212182084948 3.56268111597415E-05 5.36110562962681E-06 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0145148469149107 0.00771636273654892 0.000812007443764498 0.000183833329151501 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0183256924199023 0.0126806924878022 0.0013705300122617 0.000486790708036617 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0268058483372528 0.0229972797201733 0.00223362120388935 0.00152590525483962 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0713785693848937 0.0671300942124244 0.0150875070335141 0.0126007326495115 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.118366008000096 0.112052105033727 0.0423720165807313 0.0343363533199956 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0251802143051889 0.0209185602486988 0.0020665414973666 0.0013015550322875 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0442599746900844 0.0403593214836591 0.00604016913796671 0.00475660203638322 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0854462115519561 0.0804244922202329 0.0229598866633232 0.0185527239532464 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.256100343395059 0.246550093760078 0.221076444730691 0.164155273997009 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.437488804645075 0.420459039842937 0.679422512476666 0.446837359808303 NURBSSource NURBSSource 23 231 1 NormalsMax KalogerakisEstimator 0.00106781733456262 0.000633614666324 2.33008737360557E-06 1.42702555513509E-06 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0088875251563012 0.00852889242135166 0.000228206330340235 0.00036305116971262 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0128691500437375 0.0126640688506545 0.000393905613430702 0.00051181795564545 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0233151591601539 0.0230444786926165 0.00131358434871596 0.00136057426335655 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0676661744124634 0.0673815306690069 0.0119628749563089 0.0116887214874033 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.112664442371002 0.112383418611656 0.0343060015943407 0.0321046753097727 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0216960573121362 0.0192816786337112 0.00115704899559381 0.000980704294759552 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0421875172350728 0.0374820597188157 0.00459553272488697 0.00370190511115074 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0835087167959754 0.0745078233833712 0.0188005209635767 0.0145571781587695 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.257315919737078 0.227306616057925 0.195769558246751 0.126401012386547 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.441917375201944 0.393568866668517 0.643654538774791 0.345076065553517 NURBSSource NURBSSource 23 232 2 NormalsMax KalogerakisEstimator 0.00151293354675797 0.00412583540512654 6.93687075732236E-06 7.33122477078213E-05 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00784801856960982 0.0231620898965884 0.000229903165004756 0.00254101764437008 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0113595733756358 0.0288120681405791 0.000423293311352966 0.00438898749449198 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0187569335810768 0.0301493760711822 0.00111851533792812 0.00376138464454342 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0525953739364574 0.0628781859893058 0.00929135085132538 0.0122782367232066 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0873748874793647 0.10300815555881 0.0263646375454222 0.033010555542923 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0174965505597983 0.0288076942450764 0.000952944761410737 0.00424683326555908 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0319943283617576 0.038847757477875 0.00320597655980634 0.00561430280087232 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0627602099289902 0.0696841627063501 0.012928095362348 0.0165097883196151 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.188246871052205 0.207266944539852 0.126358297004412 0.130768217937928 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.322556239085367 0.362924544865674 0.411161174271491 0.38583822590841 NURBSSource NURBSSource 23 233 3 NormalsMax KalogerakisEstimator 0.000809348201695306 0.000708113805358858 1.69844846077649E-06 2.51533305757298E-06 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00506597517386072 0.00442303338624553 8.66379763643102E-05 7.72271910931131E-05 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00706272583869053 0.00614685408979814 0.000152360950221235 0.000118518151176372 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0124932852473185 0.0106100529461369 0.000436533435187701 0.000313630419502562 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0359181239141121 0.0297478659718544 0.00363398413552458 0.00230058642348899 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0598665055866115 0.0495224064641835 0.0102889384692092 0.00620168918407412 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0109477245438272 0.00901218559970672 0.000321553621683554 0.00022902424748388 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0209184024781404 0.0169141939174728 0.00119223553341283 0.000769728105287014 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0416010069632804 0.0333278974280163 0.00483120393890229 0.00289781526187407 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.127463416714367 0.104064071336564 0.0486250241163961 0.0259481401849069 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.220740871750749 0.18522943513574 0.158221980509649 0.0747221520390311 NURBSSource NURBSSource 23 234 4 NormalsMax KalogerakisEstimator 0.00145344339312621 0.000895090872558251 6.47158649517117E-06 3.35852658829533E-06 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00536951530429248 0.00492172362480252 7.99154483564387E-05 9.39886478232514E-05 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00829973336181888 0.00776950002374134 0.000178293333542154 0.000190589060055371 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0151000733164868 0.0131429049401832 0.000597819434590793 0.000467472600117701 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0438450633104579 0.0359392194364531 0.00525142404333769 0.00340249523235881 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0731033961850158 0.0592989384870846 0.0149421171545314 0.00919330155560476 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0125477265507895 0.0121686707406966 0.00042420369061005 0.000430096793115316 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0240375558417788 0.0221870007096831 0.00157361292116319 0.00132649842461424 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0475888569865295 0.0426756607760667 0.00631317492941916 0.00482386027752234 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.14828939098008 0.126868255480819 0.064988727813099 0.0401229132766909 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.263234724476883 0.215866036199329 0.220602960928359 0.105303372336942 NURBSSource NURBSSource 23 235 5 NormalsMax KalogerakisEstimator 0.00133347558868711 0.000565523773884103 3.91092644717129E-06 1.1108570068578E-06 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00957515397926428 0.00565069808864084 0.000370069853867894 0.000181526581211298 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0118736821873503 0.00854277350990259 0.000427835553220144 0.000255452623339177 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0198575896796577 0.0150534537283512 0.00107270146220515 0.000614434444811701 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0564837499287171 0.0438056922147966 0.00868755245531389 0.00489960766255144 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0936991884034807 0.0731980428585708 0.0244131749352139 0.0133144009016291 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.016874229140477 0.0128606076553502 0.000739747424334832 0.000468642739652518 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0317265894126893 0.0246153019577305 0.00263670461176496 0.00155864172470551 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0625215852856529 0.0489776251478808 0.0105340513667009 0.0060110537518545 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.187542625170848 0.148744512157506 0.100982934677614 0.0512612769958406 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.317778748892462 0.253144097926094 0.310664861698103 0.135076875688196 NURBSSource NURBSSource 23 236 6 NormalsMax KalogerakisEstimator 0.00150340971697581 0.000896853305594664 1.75619569672961E-06 3.087557592139E-06 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00833365429392704 0.007039046902116 0.00018498852435871 0.000156336336205543 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0117996507676249 0.0109383348818658 0.00033181561595543 0.000324496957597405 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0207942909241599 0.0198458574075429 0.00106801630975655 0.00101098981184839 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0600977146560279 0.0571754881145108 0.00967193265112821 0.00837627753849788 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0999429969785694 0.0947184655592871 0.0273067187547142 0.0226786576623896 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0180243115710843 0.0189676550325674 0.000797173787307617 0.000941208687664285 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0344222722455967 0.0364591459036596 0.00306334228385407 0.00345895736960731 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0681135892177043 0.0718332118748998 0.0124609295159012 0.0133685020343252 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.206630559599881 0.213849062474567 0.121469013878045 0.113678259859005 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.356419466455697 0.358469385501974 0.376006783133335 0.307378568137548 NURBSSource NURBSSource 23 237 7 NormalsMax KalogerakisEstimator 0.000718814601081407 0.00242132315538207 8.89896753077537E-07 3.27343996238119E-05 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00444525022570265 0.0143510320540428 4.53504547558636E-05 0.000823070002808701 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00765798435040855 0.0174441807985292 0.000140570739945896 0.00111657761456999 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0145819388575152 0.0249962728893306 0.000542215864546313 0.00190382639669169 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0431649290539143 0.0659550570282529 0.0050311508902666 0.012233272689991 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0722887042151951 0.110358556395016 0.0144745213437906 0.0339675601450626 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0113511186359668 0.022682921694398 0.000339085634775848 0.00171852893474714 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0220165298366936 0.0373663290511232 0.00132158351139881 0.00401991501876665 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0440215969020488 0.0710953247192201 0.00545923075484923 0.0140960455323513 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.135514234020107 0.219498208832848 0.0561712506316193 0.131696528993579 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.238372783588433 0.389738748665092 0.195391583021757 0.405173171896853 NURBSSource NURBSSource 23 238 8 NormalsMax KalogerakisEstimator 0.000414176882091145 0.00363977009535609 4.80289562878208E-07 8.72218468366204E-05 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00486692107802371 0.020756533424242 7.27029709429585E-05 0.00194960188107164 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00891748267870901 0.0248864611684517 0.000246823516902355 0.00251143872356107 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0172667827253104 0.035817089650603 0.000933957969572173 0.00435367078143315 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0513134611869387 0.0915394122584756 0.00835607217610528 0.0247445072384599 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.085737449573973 0.150800846140494 0.0235635848914448 0.0671876890782536 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.01470276536829 0.0301915805194462 0.000636810557063819 0.0033873576533726 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0290219232143211 0.0495422955561098 0.00251085393097388 0.00748672194287604 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0579752683698691 0.0936968058238859 0.0101540361669404 0.0255527318064672 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.175367791686612 0.281308531031307 0.0968737515802897 0.217857617562565 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.295522437500328 0.495733190845764 0.296062749304033 0.641789182724327 NURBSSource NURBSSource 23 239 9 NormalsMax KalogerakisEstimator 0.000876554028733279 0.00143496329499662 6.7382881647691E-07 6.96199280817982E-06 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00573686177688554 0.00803434229074523 8.20047069179316E-05 0.000202659789696101 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00987950530385744 0.0110313423680742 0.000245815929227265 0.000342766174961238 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0187683661723723 0.0183661453841029 0.000920935283081498 0.000876368266328696 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0553237633086337 0.0514599962950365 0.00833980614305625 0.00676809286944965 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0919677012807616 0.0849992750300437 0.0236311500662859 0.0181260359673963 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0145616984908256 0.0148600639746587 0.000551552136978116 0.000578725312723598 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0284947178650848 0.0270763167959331 0.002177429249926 0.00188666878796848 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0566981807733133 0.0526790693028664 0.00889905747702505 0.00705615210482132 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.174919584825885 0.158539833350659 0.0905067491640938 0.0598367828233912 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.301818892768635 0.274196302893253 0.282569012691079 0.167781865799283 NURBSSource NURBSSource 24 240 0 NormalsMax KalogerakisEstimator 0.01298153918558 0.00573573796149922 0.000647109477132917 0.00014090214434944 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0173116119257054 0.012295472452175 0.00104012156259511 0.000489812691841334 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0252193515747411 0.0213960355731203 0.00205604808239596 0.00140904381033657 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0433454221036297 0.0402599474856201 0.00585821496226616 0.00471730608097867 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.12292116395428 0.117683049758762 0.0488728785909305 0.0381779053491435 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.203579834453587 0.195266347657815 0.138426647470678 0.100305600978651 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0394959050873447 0.0318176128262691 0.00481544516920799 0.0031772112973269 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0736718021902736 0.0619079025736932 0.0166090013087476 0.0116231748754127 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.144388155064722 0.122516367952742 0.0650735897633052 0.0437749987574023 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.425470122964008 0.361609862254645 0.624608376398865 0.32846224063521 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.705183865696587 0.615616055570488 1.86309680792646 0.823880203798803 NURBSSource NURBSSource 24 241 1 NormalsMax KalogerakisEstimator 0.00948622808384464 0.00765298497412531 0.000170941731148816 0.000348361820686466 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0170221121226198 0.0137560611863772 0.000618751149631241 0.000653324141109955 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0286043671749921 0.0231091606934105 0.00195374482873066 0.00161618510869038 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0534829476047581 0.0435144871726806 0.00743538146101839 0.00557717160158813 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.156731956891651 0.128423350961131 0.0709826078659109 0.0451520997622837 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.256853468580115 0.212116406304974 0.20303765981907 0.115215844097229 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0423984311887602 0.0362746004822452 0.00463948500754454 0.00418992145873145 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.083330704889501 0.0703965963669616 0.0191700774115107 0.0148350165676096 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.166296388305663 0.138223018576179 0.0829309321106789 0.0534206627700651 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.485542181147234 0.412126470952117 0.865372961972706 0.379112136154964 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.815667219382821 0.727963990591184 2.80471300365223 1.01098127323652 NURBSSource NURBSSource 24 242 2 NormalsMax KalogerakisEstimator 0.00624562074021668 0.0238130774764534 0.000140652997347068 0.00339859950501697 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0112495256130363 0.0294454972423134 0.000419469552367448 0.00454515770874966 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0178560547298786 0.0331416594726208 0.000992361635135226 0.00533123681514728 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0323178694220576 0.0447238313311443 0.00338558323081578 0.00726214773448331 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.09299574190832 0.113075620054826 0.030221256708116 0.0422235534495475 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.154137301966637 0.184514834428325 0.0869012313802629 0.108835337603321 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0255432928518064 0.0420296150053564 0.00204934731094357 0.00659126826581241 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0490820641446977 0.0703911823171133 0.00781026689650247 0.0173697737111245 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0972335281469092 0.132624339499351 0.0326625289650434 0.0593995402588758 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.295637180637587 0.384583044499606 0.370543260272113 0.451453285421316 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.523655577366956 0.643571731078607 1.31892586577138 1.13687648170459 NURBSSource NURBSSource 24 243 3 NormalsMax KalogerakisEstimator 0.00430355955028725 0.00315812353925068 4.35838100075634E-05 4.32521363025523E-05 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00856792660631661 0.00607342669552911 0.000193887365910227 0.000116788835985695 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0145145839611722 0.0100994271488341 0.000564093242165759 0.000291560077514203 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0271768891572608 0.0190985879790213 0.00203824544531428 0.000995050071704988 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0790797761421809 0.0560937981381209 0.0181339181945175 0.00788357215734764 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.130123882807716 0.0934223899427922 0.0518637423287159 0.0202867916207546 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0207652088650266 0.0163561334987822 0.00116572673345622 0.00073197000571997 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0406593073181219 0.0320258848407593 0.00462113704973675 0.00270027994866224 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0802945012764183 0.0640279528023241 0.0188645793488618 0.0101758050810768 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.234091367993575 0.200087367924725 0.183078864888573 0.0819593527601083 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.388306432136685 0.352389205767539 0.558829106542834 0.217860263375265 NURBSSource NURBSSource 24 244 4 NormalsMax KalogerakisEstimator 0.00493609788265253 0.00528375761401759 5.25995109119389E-05 0.000172263469198638 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00956832435644264 0.00800623791875248 0.000224863963795058 0.000246132771834913 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0161242448308632 0.0123561525063538 0.000676468893504845 0.000470014027607007 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0299326045021021 0.0220088867839424 0.00244591598625074 0.00133220531708134 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0864462226223014 0.0635699875177179 0.0220891334329854 0.0104251817756807 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.141999006863687 0.106845356422365 0.0625286090647945 0.0277707175225822 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0248647869157813 0.0188019212481674 0.0017650847318934 0.000998576123965233 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0483923750090194 0.035662488359638 0.00699636808790452 0.0035225424272598 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0959766389199205 0.0705227953696333 0.0287152951334517 0.013210577396656 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.280876858596883 0.219064453325716 0.27762527545376 0.107086131293551 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.471448669189089 0.389096122877135 0.855495249291464 0.294340188646824 NURBSSource NURBSSource 24 245 5 NormalsMax KalogerakisEstimator 0.00960729770778603 0.00352661452344624 0.000227950099810849 9.95773147718606E-05 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0129362631768 0.00797974552409076 0.000392838794469499 0.000243694616079039 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0195393353458687 0.0133856337549727 0.000916995670564639 0.000539534912940206 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0350248336061747 0.0250806570688383 0.00305824437126954 0.00168785002541557 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.101998024499749 0.0740727140166339 0.0287597303790369 0.0137142777770577 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.170311866144203 0.124279030265381 0.0840314476155788 0.036741242954072 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0302940374802744 0.0185092227551114 0.00232483370048226 0.00093558839337003 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0575976953136059 0.0360706428858288 0.00888594662143196 0.00339573185770332 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.113259530832092 0.0719569863846955 0.0361745478757948 0.0129436521271691 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.324292338623495 0.226694414880342 0.331938602018737 0.106122858578384 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.527861475794745 0.407370313488958 0.980758347647739 0.296768861881269 NURBSSource NURBSSource 24 246 6 NormalsMax KalogerakisEstimator 0.00732883693404211 0.00523762283131366 9.08671108322147E-05 0.000101861976803509 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0129468520426328 0.0108800602496917 0.000359318776052806 0.000353345062447002 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0212548580050505 0.0186257596053908 0.00106379331179815 0.000990326109363371 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0394102852699127 0.0349122378606901 0.00396789843448899 0.00339319293478959 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.115671730745328 0.101557437294196 0.0373326205564167 0.02771097572769 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.193059823519887 0.168094944290243 0.108181794709754 0.0736334723962818 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0327110611507403 0.0288157393498348 0.0028367392056838 0.00230740032028628 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0638118038122611 0.0566234185374344 0.0114702721114284 0.0087036293854945 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.126250938457002 0.112562246974999 0.0467964471238672 0.0333878113249058 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.370667576622273 0.33765118505126 0.444622930731694 0.269425392894516 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.61096106251706 0.566798190543465 1.31259682614793 0.669870819451338 NURBSSource NURBSSource 24 247 7 NormalsMax KalogerakisEstimator 0.00277760365382436 0.0139153054044247 1.83715326722346E-05 0.000991279017656093 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00738785095726234 0.0185931055414377 0.000140808916729859 0.00132056065611886 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0133603264580382 0.0268140897203114 0.000486691388988642 0.00237027367987245 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0257276927541541 0.045911564282265 0.00189344412721644 0.0066027683819518 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.076728725679214 0.128574088138539 0.0181423669939738 0.0487729642610023 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.129502972726301 0.211208509025345 0.0548930405195819 0.127075357197009 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0232090641667615 0.0394440316355875 0.00156720162960669 0.00496040290198967 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0460464667680608 0.0734022836771212 0.00646279878467242 0.0164830705827875 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0918959922112565 0.14319659410098 0.0269993363501553 0.060749170133721 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.285790745284023 0.416393888819642 0.306091008369206 0.456110170782552 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.613763010425424 0.681469768438095 45.2031959941773 1.10555959811811 NURBSSource NURBSSource 24 248 8 NormalsMax KalogerakisEstimator 0.00243460784778572 0.0200051210047149 2.23566361003677E-05 0.00236996746607944 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00740423695037408 0.026240820445179 0.000158976272686351 0.00328523647640386 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0140654669193775 0.0361713737407274 0.000578146147159732 0.00517214137269715 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0278424367526164 0.060603341602076 0.00228620252394362 0.0130521133544128 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0840070255788518 0.167078346078018 0.0218084719710866 0.0911409432066857 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.141158736290207 0.2748055061469 0.0650227210250079 0.237971399084271 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0254192227489848 0.0506608877557237 0.00195223172976808 0.00889398142516054 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0504662782726372 0.0926267677480168 0.00782394676675974 0.0264638435219005 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.1006635367096 0.180274025384707 0.0321888842307822 0.0939371481453087 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.306928618474962 0.51629541933207 0.339049713244255 0.694759529420941 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.545226899605712 0.838649520868017 1.18975529577959 1.6725191278445 NURBSSource NURBSSource 24 249 9 NormalsMax KalogerakisEstimator 0.00425227074551613 0.00619213483812964 3.98511718861172E-05 0.000139526327517204 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00910136338445929 0.0104677932663236 0.000193782354328846 0.000286882861372507 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0158068966904251 0.0164851536498756 0.000621472143404353 0.000672828242815891 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0303145941338704 0.0297895742398832 0.00242458766694251 0.00216614120992285 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0892104520123351 0.0858341423360563 0.022974333816712 0.0171894870242977 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.149622442320125 0.14241777473801 0.0677015275706554 0.0449118607760864 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0261547088736661 0.0241835344775776 0.00176035456140111 0.0015140686457842 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0508816703426917 0.045849612212848 0.00690691471451128 0.00537630517484705 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.100181600538392 0.0901007156998242 0.028227943605416 0.0200560110043162 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.298697996199858 0.272976851565786 0.281877500214377 0.161255927542923 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.499186697217354 0.470380577906656 0.847953973967654 0.428327392307495 NURBSSource NURBSSource 25 250 0 NormalsMax KalogerakisEstimator 0.0326433280188628 0.0222665528867952 0.00350595057071857 0.00263440659004317 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0608745749081788 0.0517064283056903 0.0226020347412138 0.0195817459426027 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.319166367862198 0.186496398225087 222.648867897575 44.508514567485 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.199397134235383 0.194030820867364 0.591293712243428 1.80934726607215 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.571529592048102 0.538823983388888 2.90583054989808 3.06769045737654 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.12656342871609 0.911279091802093 98.964879794243 7.37144574057498 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.174838649309704 0.259597211119602 1.73755368937006 58.203629171124 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.315250215693563 0.327605708066948 1.20492245066914 5.90436426362937 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.648985922036387 0.633098452348077 5.04994084052598 6.91637637961676 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.00273586859954 2.07622056991216 46.264273719483 93.5576356140473 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.12909512628888 3.73464860089228 466.47980736243 189.099983577084 NURBSSource NURBSSource 25 251 1 NormalsMax KalogerakisEstimator 0.0224043966568551 0.0274379793500708 0.00128348273999876 0.00509314938192569 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.070863698617419 0.0680189964784595 0.0847384275876717 0.0294340979110089 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.129798869017074 0.122391309860234 0.319228067364109 0.105062933286598 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.25339801748713 0.237300343699284 1.25692915671636 0.441586018617377 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.803595272252674 0.729934918071215 20.9119142490597 5.32060123890658 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.41845716754236 1.55764689410601 72.7412087794421 96.7290626670726 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.197859196893764 0.177859830955853 0.781927594149718 0.328894915139227 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.403363255149704 1.42608199804464 3.79855115593132 5195.67576158358 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.13814328221145 1.00025793865064 143.097517311597 81.6337027467815 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.41266670303898 3.14007859544333 114.385204434353 784.849558747357 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.967726094651 5.74773480309068 623.042419665185 2723.06971289839 NURBSSource NURBSSource 25 252 2 NormalsMax KalogerakisEstimator 0.0176543426813676 0.0478908865135199 0.000905285856805699 0.0132633721709115 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0447822100818768 0.0887743101513365 0.0399234683644156 1.02413447914808 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0801440747790578 0.120428763420987 0.196462246756212 0.504558231885194 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.509143747898188 0.192814107264466 365.301981728908 0.412959241167767 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.880269654072542 0.575548313306381 172.844205099208 10.6720653337709 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.21207247447918 0.902984641137948 346.249979883467 10.3940445176808 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.114158897921196 0.14733198849246 0.170096868353308 0.131148519259281 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.324370962902276 0.336434677524687 46.7338445128687 19.1046259674235 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.529565338064444 0.700703729936831 11.4152359809003 117.533167366717 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.8347905058416 1.9745368361955 154.782507469013 447.30982975148 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 3.72998056762649 3.25275852406611 657.841579535685 314.821731055931 NURBSSource NURBSSource 25 253 3 NormalsMax KalogerakisEstimator 0.0139170052882122 0.00959541835585298 0.000527650469671928 0.00045578336369403 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0419512214106955 0.0308809934084632 0.0539660073152694 0.00898684797891768 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0752080274460484 0.059430037761908 0.164679529903324 0.0372143370497223 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.143315116983771 0.121102430166094 0.532747562166034 0.174578044232833 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.504476589511315 0.512085345007936 23.4272411890414 42.5890973004098 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.89910107099108 0.828036676012333 131.590412775005 44.3213573316826 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.121625045391315 0.0936733965817492 0.362197536356245 0.0988329381488057 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.231496184963862 0.189447739408783 1.08287696208378 0.350925261458348 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.496505011576062 0.393771680227946 10.7831476014935 1.37334740296066 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.54754921497282 1.49264920700169 63.0749084542754 76.7423704744285 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 2.70102526875085 2.95601467322538 171.439602777556 271.742547519969 NURBSSource NURBSSource 25 254 4 NormalsMax KalogerakisEstimator 0.0181664349047653 0.0132096495710939 0.000926859435260338 0.000980362208008245 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0406150811556703 0.0325621585993412 0.00792074054288933 0.00918033080767567 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.073104849004955 0.0580777682185274 0.0310187863483943 0.0339155376339073 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.139111306892331 0.113645437616296 0.12742764196265 0.134239451517714 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.410716651641837 0.371754634619636 1.3034851326671 1.37101803213746 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.730136663524183 0.647814553394801 8.46848289321419 4.32428838179473 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.117265373634014 0.0965438060586763 0.104867083423095 0.0626596266810658 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.230454143874569 0.203085223045171 0.42825935505307 0.370677350134374 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.575501519376087 0.445432300493663 69.6657639176613 2.44333112953993 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.55428928817751 1.82222957557558 64.9600228424111 170.610648706679 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 2.78331870569448 3.47255276635212 147.479721529557 884.394947256638 NURBSSource NURBSSource 25 255 5 NormalsMax KalogerakisEstimator 0.0254426870746221 0.0118407746783319 0.00158320589089046 0.000748094780860218 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0498897888686376 0.0296476880156205 0.0138828570301485 0.00449684081304656 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0852232167202311 0.0535984039336758 0.0495426535430985 0.0153220822922629 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.164163149145059 0.107863949155711 0.258633232500279 0.0689501193387595 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.88196279728709 0.342490245854777 9276.66154904456 0.743952619913961 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.823416129941288 0.672893015086955 15.8386523949848 12.143542073903 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.136028007922952 0.0961899945434955 0.135357630172987 0.100778080663019 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.27338146784171 0.2149788748924 1.35693856275524 2.93688584418348 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.537619481521495 0.420158036780557 7.88584443261656 1.91168376199113 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.77299598411124 1.88661941171749 101.923512591682 323.613032227381 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 3.31442165840375 2.81781863326656 374.802222529397 195.477780670752 NURBSSource NURBSSource 25 256 6 NormalsMax KalogerakisEstimator 0.0273667799852745 0.0227620905457383 0.00196607586320401 0.00278140435330259 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0600900015581366 0.0505245694155639 0.0409833273602116 0.0180563837402173 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.103676789977722 0.0897167978071286 0.163234432658871 0.0646832875042681 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.19691119065992 0.174618991197372 0.663610064396932 0.290901248625827 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.605416724363095 0.542203613918235 10.2968194629145 3.19729996290897 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.14299982283489 1.10575793854746 214.96031652665 142.955917764387 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.161172412667641 0.166534327270524 0.257487299726629 0.660100831775243 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.321839084551682 0.326606588657802 1.19640654398678 2.23004021536718 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.705742726063344 0.692713186895 22.1661780296584 14.9323958299132 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.63726369349089 2.99440473646954 442.421895742457 614.553167457301 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.49895082866122 4.35707702732907 1154.14005874404 392.243002925732 NURBSSource NURBSSource 25 257 7 NormalsMax KalogerakisEstimator 0.00998737930914826 0.0402175373305323 0.000292519703444811 0.00932328793950782 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.034251235851037 0.0731000374230633 0.00974023552634137 0.0369042119607926 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0664365685388905 0.122023415478018 0.0436351088856937 0.099050078471187 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.139746371631469 0.227858736236348 0.279843523957017 0.398986358972921 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.471687837277399 0.739246528502418 5.79247296708818 26.0118301812495 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.04455395302995 1.32353075486 119.211869496496 81.0216633808162 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.124865218655196 0.212332002384448 1.03326770304352 1.41421220858143 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.239194699457044 0.377556002636136 1.84767839929132 1.69225633393271 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.632315686991718 0.75827480879212 82.3928693106156 18.4680804643862 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.98852659042433 2.54983210105001 149.396402845385 314.240124956385 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.28724504422079 4.0286845784977 1832.78232811896 395.589546089994 NURBSSource NURBSSource 25 258 8 NormalsMax KalogerakisEstimator 0.0114096604828558 0.0547228284894598 0.000587332760368079 0.0187777844217462 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0465394022078169 0.101670042472673 0.0474843334005605 0.0783476438187686 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0909168167050803 0.157906698624128 0.206178736159449 0.21552813545484 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.1869544828131 0.275611691306768 0.965172020466294 0.716604423894908 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.789139082893923 1.3050011065377 90.6959591231988 422.756689952846 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.30931124353406 1.53514572379584 93.0714881827402 114.657675685159 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.130454483489563 0.241016320431016 0.520308884021 0.612435527500382 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.779933669470085 0.453976240032934 563.601378246709 2.3650630452011 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.881176952348929 1.11006718584958 139.643278047518 121.911095778948 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.83612498595492 3.45105592231071 447.690925799869 756.680282747386 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.50176556225905 4.92499997957382 694.514025418097 596.876026886101 NURBSSource NURBSSource 25 259 9 NormalsMax KalogerakisEstimator 0.0202968269300279 0.0208292896585785 0.00155796608515085 0.0022731257068422 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0509763287785587 0.0553240963933176 0.149015659654776 0.434591072281711 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0828743911709154 0.0887396300704993 0.120893426305117 0.435226231783864 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.154488569327086 0.162117004617505 0.255942222806683 0.824690861368485 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.45666780207461 0.470048071014626 1.92393050006004 6.86130767100657 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.889939518186627 0.936421595157725 44.1056803473126 57.5269551857361 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.115551347589343 0.113338019797653 0.1005583133848 0.117063931426554 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.226836372673103 0.223440636697953 0.433219824517741 0.486469161447493 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.463809007428596 0.446118587857941 2.41436687352876 1.94837498005803 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.5133472506072 1.4670614945397 36.8254196038033 38.6671275831504 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 3.36330631659171 3.22561675023904 654.242213276413 544.073925612152 NURBSSource NURBSSource 26 260 0 NormalsMax KalogerakisEstimator 0.00125263860933047 0.000637653211339282 4.92287918335263E-06 1.56485530172195E-06 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0151343934679097 0.0150068894301527 0.00067978979141411 0.000678802418333989 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0288962685403389 0.0296797308351059 0.00243418965534176 0.00263265519616858 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0571346340941592 0.0593030724988967 0.00958821122187172 0.010379683619135 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.170615806989249 0.17859497329143 0.0888832825774183 0.0907627747515814 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.284765906873164 0.299453848749664 0.257210314823771 0.245728575263429 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0465548606105369 0.0460655118152611 0.0063756822801058 0.00643071214466506 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0927368955782212 0.0919965608116167 0.0256379710187327 0.0252443046014018 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.185184775063854 0.183870304945385 0.105406414615442 0.097774895634101 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.566895011856313 0.560728458954701 1.11497310909249 0.793779328220187 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.00074772728609 0.986675927818082 3.85174006309969 2.15982898663161 NURBSSource NURBSSource 26 261 1 NormalsMax KalogerakisEstimator 0.000671997312704711 0.000968662986119693 1.19727608140478E-06 4.03770910766197E-06 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0116529331837137 0.0167620410648882 0.00035660809662963 0.000854393510995419 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0229465996554016 0.0324103818761337 0.00141623262538214 0.00312079975665183 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.045755955126432 0.0642131783422895 0.00575983812061344 0.0123511643643673 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.138712917562102 0.192504105086641 0.0565026476125436 0.109321222045522 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.237402921077386 0.320725092695716 0.178488130230191 0.287514242514622 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0374661241151145 0.0516423697636327 0.00379413412329151 0.00810421938290735 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0749538556805305 0.102933275256998 0.0156414823179325 0.0320888066499035 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.151352926580518 0.205607702405512 0.0674730649233836 0.12443803314728 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.517617075567149 0.631885291380448 1.03577178353194 1.01950934516821 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.04242886604718 1.17209118266523 5.00203338038127 3.19906302709873 NURBSSource NURBSSource 26 262 2 NormalsMax KalogerakisEstimator 0.000520241039713005 0.00158832880794343 9.10415083733351E-07 1.43467954911328E-05 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0117260688311771 0.016738016566485 0.000482931008210537 0.00102150231640035 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0231842299791989 0.0305297289464406 0.00191519569884119 0.00323752986458159 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0461796379122374 0.0596642572526649 0.00773900409166415 0.0120741995234948 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.137526852020642 0.180098880698757 0.07216092576218 0.106021563556707 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.230016665353489 0.306102863192965 0.210126043220936 0.299516554408182 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0375613634188529 0.0476884609312121 0.0050441184997255 0.00772786389079201 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0751467041771947 0.0949752429166828 0.0206643128560888 0.0300898291230592 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.150784493639537 0.191390361632954 0.0871218604176698 0.119072262446385 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.481472598008831 0.623840208091146 1.03404452602556 1.18072270696522 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.928895134076105 1.16733323286938 9.11136855870133 11.9995032992947 NURBSSource NURBSSource 26 263 3 NormalsMax KalogerakisEstimator 0.000342148895485718 0.000268966537526641 8.17873562213639E-07 2.88195731558538E-07 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00778793038537294 0.00746565109006543 0.0001882375758765 0.000152281393169997 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0148211237075009 0.0146217891896077 0.000608369643159854 0.000573935179354477 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0292920169738856 0.0290954413020674 0.00237166713789374 0.00223813083766042 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0876158786313608 0.087049527807593 0.0220972033010879 0.0190274699250623 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.145960818051841 0.144696099913085 0.0640947681521814 0.0498896241376224 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0244705596859111 0.0235092134461894 0.00165825473961418 0.00147595944275159 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0486562355366796 0.0470154056706853 0.00663353068010723 0.00578028446829251 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0968939545316252 0.0939669213410363 0.0272595576304453 0.0221310660769844 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.29283057669358 0.284746241621437 0.287121547618026 0.170418893002329 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.508914451338168 0.497357493028899 0.96542957562907 0.448476392353931 NURBSSource NURBSSource 26 264 4 NormalsMax KalogerakisEstimator 0.000524660243865009 0.000511533978303074 8.83934041211511E-07 1.2426097296689E-06 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00889526337898407 0.00883830268496278 0.00023052272994625 0.000242309027408446 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.017417411866778 0.0164926189229203 0.000881561071940432 0.000778016198798738 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0346484418961713 0.0323960154277065 0.00352094512173647 0.00294114026152473 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.103643755829142 0.096514944105562 0.0329892590321279 0.0248065180175758 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.172688618498164 0.161230240932511 0.0956097188545905 0.0658832303084177 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0277827204460799 0.0274413431818061 0.00225034862107664 0.00212704658484436 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0554815575035039 0.0544037592186664 0.00914097691152481 0.00817761406068347 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.111144636109459 0.10839186403653 0.0381361701936909 0.0312363725158172 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.340793589088396 0.330654634238258 0.405722521194922 0.250496644236547 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.589943932486038 0.581226291563569 1.32755655770475 0.684366999000257 NURBSSource NURBSSource 26 265 5 NormalsMax KalogerakisEstimator 0.000785585845388552 0.000385155849110338 1.98274537795593E-06 6.96573606848899E-07 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0138039910024811 0.00985669931317702 0.000513939369597879 0.000261384947052703 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0273445136112711 0.0194930468213851 0.00204030038759865 0.00100714325986964 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0544950656538429 0.0388853228900117 0.00823822192057578 0.00393567103674757 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.16250367160782 0.117429862805495 0.0763706520827536 0.0333810886764285 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.268819343302016 0.198940170907432 0.217969366482978 0.0895725242542243 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0454460205968813 0.0312812184438923 0.00574330704388223 0.00256567520015027 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0906221387990631 0.062701994452859 0.0233497877742863 0.0100272372074619 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.180642294853549 0.12659277173082 0.096177879803346 0.0386189716314219 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.526283630146539 0.414114886884628 0.936725894440593 0.330517274028947 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.891695303396249 0.770935771791566 3.0141655121461 0.957882255421161 NURBSSource NURBSSource 26 266 6 NormalsMax KalogerakisEstimator 0.000772412544834141 0.000449997296128802 1.72963119829196E-06 7.51472459101925E-07 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0146395944020587 0.0115878742813745 0.000592443257455163 0.000361532540787898 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0289330197221317 0.022717601739312 0.00234818864292561 0.00137586039663417 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0576712907838477 0.0452269587455218 0.00945471975342284 0.00541036335308643 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.172678043713584 0.135754827139323 0.087889248130264 0.0467977698045164 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.287110087730953 0.227550328341385 0.25119690653831 0.125944534255373 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0471919424190285 0.0370771453676878 0.00635724151654817 0.003669699471001 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0943997129362393 0.0740703092352738 0.0259043914403084 0.0144171273632216 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.188879912488381 0.148347044138367 0.106622937655484 0.0557401525597683 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.571712236261428 0.462323420462217 1.09046453692788 0.462373125336761 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.981597695450799 0.836962759845621 3.57053462192315 1.30594477685378 NURBSSource NURBSSource 26 267 7 NormalsMax KalogerakisEstimator 0.000238215026835928 0.000887986206949447 1.3849410936112E-07 2.78376993028757E-06 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.010115717710035 0.0131765365846516 0.000297444660040726 0.000547793585268028 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0201429313294964 0.0249048712968766 0.00119069570430071 0.001874122966366 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0402283852467012 0.049134115515143 0.00479214807460076 0.00717198585061861 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.120877108893794 0.14686508265603 0.0445065601472722 0.0623975413292494 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.201589150762128 0.244562253898562 0.127604527981021 0.16855595673331 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0327834445151822 0.0405472573721276 0.00316960617351484 0.00492556175372114 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0655531076167874 0.0806092897419838 0.0128389710025434 0.0192091676411994 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.131289630079889 0.160683311689785 0.05276773356966 0.0745730498221667 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.400388070989151 0.479999488809815 0.54912884524271 0.59877012731923 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.703291489849732 0.821661761374122 1.88287724471234 1.56431852677293 NURBSSource NURBSSource 26 268 8 NormalsMax KalogerakisEstimator 0.000428411298666932 0.00153841048152951 9.52310079791164E-07 1.08384301006498E-05 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0112471066910322 0.0169542247726455 0.000391924766536606 0.00106289111614617 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0219912452686754 0.0289610669674883 0.00146999284833301 0.00257074521520448 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0437628902576196 0.0558526804751279 0.00581053311866414 0.0092329950199531 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.131227397388505 0.166523154135802 0.0533558902709035 0.0790269077093594 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.21878178406867 0.278705780223234 0.152269807593206 0.215387757109144 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0346546686711433 0.0460222735116658 0.00357965086177113 0.00632166763922341 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0692897173560689 0.0908865954634623 0.0144070604482102 0.0241029795075446 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.138830990240579 0.181134175686897 0.0590832776428153 0.0931707724577834 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.425809233729508 0.555200534004776 0.623206274466672 0.798735030421072 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.758658460732882 0.977207661507676 2.23705748826722 2.25328356125681 NURBSSource NURBSSource 26 269 9 NormalsMax KalogerakisEstimator 0.000382011064589775 0.000529899175719937 3.77564292836917E-07 8.36317550532479E-07 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0124459813043013 0.0110887142793295 0.000411365835620019 0.00032036111450694 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0247166383347084 0.021454716180681 0.00164111559072804 0.00118637857463526 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.049287856643679 0.0425157349780143 0.00661643030746431 0.00460653838972239 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.147047443170494 0.126805669486998 0.0618666542723082 0.038777947331204 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.244397269055074 0.211815546738114 0.177790068114954 0.102162201608061 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0391615019888693 0.0340987244853752 0.00412536732194306 0.00294550214576058 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0780765506649208 0.067912634073401 0.0167722292382072 0.0114123331930181 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.155471459112969 0.135515737919942 0.0692904961876714 0.0431992735880883 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.469750879398869 0.415681347786633 0.704706428366972 0.342842433955903 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.807966301817065 0.727055178092873 2.2502947915367 0.905543431223771 NURBSSource NURBSSource 27 270 0 NormalsMax KalogerakisEstimator 0.00148799676183763 0.000705582067061529 7.04828750191221E-06 1.72467251094991E-06 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0163052383977871 0.0145669122816501 0.000808498380092148 0.000624940293402953 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0314690879710456 0.028838724399318 0.00298790149338337 0.00242763232539931 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0624056289714605 0.0575278487707698 0.0118953899158068 0.00953430421111371 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.186889885921592 0.173201563589311 0.111466704823115 0.0823427009994713 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.312242563752619 0.290194100490309 0.323509787701339 0.22104106530461 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0508879046446673 0.0473973737918429 0.00795510881679006 0.00660242079677175 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.101497359694423 0.0946848329846719 0.0321253223473446 0.0258525940396748 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.202913185356094 0.189216240476678 0.132646317272826 0.0994795187342319 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.615802671998203 0.579197196195026 1.3708529687081 0.800876327382772 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.06378012757883 1.01058747300651 4.45099266266811 2.15385091725778 NURBSSource NURBSSource 27 271 1 NormalsMax KalogerakisEstimator 0.000897720774494981 0.00076311775222929 2.71950208936998E-06 2.82046300950913E-06 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0153641438256287 0.0157055610788046 0.000625301032086432 0.000693925681633759 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0304900231582364 0.0309216588873255 0.00249770301448421 0.00264243773011667 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.060886149014883 0.0615457360591346 0.0101321410782402 0.0103468051510362 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.18219984834455 0.183762577861627 0.0956933392467255 0.0879540669819363 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.302702210316344 0.304720683670313 0.278850723765273 0.228798535323077 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0489633584263491 0.0526041671419931 0.00652504236928288 0.00761564399675078 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0975863858417019 0.104869139261864 0.0265873647469612 0.0296800382596658 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.194759582311898 0.208763615090212 0.111081827731725 0.112295713221275 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.596984595079739 0.618735329895565 1.25471334078642 0.806423228696755 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.07525420099821 1.08733513197432 4.5487494346373 2.0989706545075 NURBSSource NURBSSource 27 272 2 NormalsMax KalogerakisEstimator 0.000430852540640193 0.00138226344895617 6.42932333247342E-07 1.05886606492719E-05 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0121117708190057 0.0161799484546986 0.000481355507720014 0.000953795110820978 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0239050861255876 0.0294175094899165 0.00189102746376493 0.00292057483753461 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0476661119327582 0.0575464915458763 0.00761520785725511 0.0108747247509255 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.142434576560849 0.172753546240622 0.0706508082767701 0.0940989665592484 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.2372486618244 0.290971808770127 0.203797870430475 0.259798087889576 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0382237379951452 0.0472124577561645 0.00502811223555959 0.00753384018958468 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.076346263581502 0.0936204363159538 0.0204323855481278 0.0289773431067966 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.152686808435726 0.187177058324597 0.084215602826218 0.112876816629901 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.471479064767994 0.592444602296374 0.899859244942334 1.05532529402741 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.857796467205665 1.06469656030621 3.33273289403564 3.2112762230823 NURBSSource NURBSSource 27 273 3 NormalsMax KalogerakisEstimator 0.000379067229520487 0.000264094463763638 5.28282595229096E-07 2.74722354338696E-07 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00823221582332952 0.00697252584929842 0.000189042062310211 0.0001364421916464 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0161731891226008 0.0137362278192501 0.000723247686922063 0.000524022473563751 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0322168373125399 0.0273602367476432 0.00289429723606397 0.00204993438303498 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0961159352989948 0.0821242568899562 0.0269243593969756 0.0174278603626245 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.159808664707489 0.137571678199402 0.0778554130914749 0.0459681915314156 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0264335581132443 0.0226698931136637 0.00194902493884429 0.00140852294964305 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0527708618363825 0.0452982301353881 0.00790477190842915 0.00549910474221249 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.105276835094572 0.0906819724370275 0.0327123359572071 0.0210147066258039 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.321724224346342 0.284298177824376 0.354509228119235 0.167794386640307 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.570849324307068 0.522430542880293 1.2444531206607 0.47495632233325 NURBSSource NURBSSource 27 274 4 NormalsMax KalogerakisEstimator 0.000545938665512649 0.000412800329102911 8.4806000268908E-07 6.83823786705599E-07 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00946262275349939 0.00879466449386825 0.000261266772053023 0.000234848159536228 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0187256092997801 0.0168530244943319 0.00102902378801629 0.000847372300355229 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0373543446390232 0.0332609261317365 0.00415144291152009 0.00327015716009826 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.111744117511648 0.0992490513965657 0.0387869356270755 0.0277806141551735 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.185868996267808 0.165214454506881 0.111679697092682 0.0727744449861733 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0303543466629192 0.0275172561181691 0.00267224563261894 0.00223358423113452 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0606047556986627 0.054794921897546 0.0108676758119934 0.00870023994965425 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.120988374238448 0.109384488517351 0.0448724982475168 0.0333161155693871 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.36883653978895 0.338490331557982 0.475444718133114 0.267317588991618 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.647819629101191 0.608345332438951 1.61199156954065 0.736176958640463 NURBSSource NURBSSource 27 275 5 NormalsMax KalogerakisEstimator 0.000639457699851353 0.000271074718679228 1.20279467309881E-06 2.88146298960072E-07 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0122038737550741 0.00970890628404402 0.000403749121829158 0.000248045581824056 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.023965608447359 0.0191943145206862 0.00155812562938434 0.000951594966542001 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0477002959731773 0.0383004045447403 0.00625394229939753 0.00373275015659795 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.14255779230941 0.114859594011401 0.0581151041860951 0.0318234970413186 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.235418042075014 0.191830192505999 0.164490235773492 0.0839360287334807 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0388296017859879 0.031529619243831 0.0041073159877099 0.00255029709460047 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0773337570195486 0.0629601754212683 0.0165821440492048 0.00992805370357908 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.153578696019857 0.125992352839589 0.0676014879804054 0.038019083196957 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.451107494591886 0.384831525366774 0.656581887613835 0.295290282539523 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.759816670163092 0.672924043848861 2.06787951427318 0.759166361726271 NURBSSource NURBSSource 27 276 6 NormalsMax KalogerakisEstimator 0.000636552499596312 0.000529871392899962 9.61975973867425E-07 9.00405489460523E-07 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.013628937645947 0.0130681838589019 0.00049378852425203 0.000451475681690538 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.026933041461834 0.0256989940021964 0.0019617215643753 0.00174530125942516 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.053730912199107 0.0511853523722801 0.00792531984375063 0.00689472218711184 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.161175641073828 0.153365744234192 0.0740122670713877 0.0598019357778473 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.269337126355602 0.256429504751737 0.213752008714341 0.161109991311076 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0425685837648118 0.0420365673435602 0.00490771190391731 0.00463941829592824 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.085057248995554 0.083935309723077 0.0199720117378474 0.0182719609730424 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.170200136543703 0.16763432297432 0.0825136437229405 0.0707732243736723 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.520634854366706 0.509517161653781 0.862147852468871 0.572762544440577 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.901123127035896 0.879703469917237 2.86834894318866 1.47156096573902 NURBSSource NURBSSource 27 277 7 NormalsMax KalogerakisEstimator 0.000223096765550675 0.000947912772133852 1.12690946128979E-07 3.05845530885351E-06 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00930854302097747 0.0147723417225964 0.000235443932014572 0.000626766037555972 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0185547606843875 0.0286265553240452 0.000945264409948878 0.00230460479472916 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0370901747965736 0.0568178830714573 0.00382532490949515 0.00898426683023635 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.111637272855373 0.170093327673522 0.0362095881659991 0.0781246822597789 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.188053594317227 0.283640436115444 0.107706264512364 0.21105957530783 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0309128183024362 0.0462739831834319 0.00267158023288598 0.00599000694612011 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0618185844575126 0.0921771777723681 0.010874773657265 0.0234727468109451 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.124140639094073 0.184333598030684 0.0454288942847462 0.0915885609432603 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.396624973124509 0.56230012119279 0.546825820350438 0.764976707601227 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.750856015116436 0.985220301637805 2.26317481337212 2.13780482757972 NURBSSource NURBSSource 27 278 8 NormalsMax KalogerakisEstimator 0.000316683219171574 0.00168079075527441 4.28307698698677E-07 1.07137338037605E-05 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0109163218517657 0.0192471007973889 0.000361051137924283 0.0011905305787085 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0216969117548472 0.0363993750706091 0.00142647556474052 0.0040091411332898 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0433118727061131 0.0716952383875525 0.00572531491216861 0.0152591590857669 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.130435212346305 0.213947251615787 0.0539033107291653 0.131212783730139 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.218922429978179 0.356049371942147 0.158199796020641 0.351250132548982 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0365948190537805 0.058141179568861 0.00411838216332067 0.0100115491949735 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0732124626898191 0.115755096694119 0.0167363199291882 0.0390045625081981 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.146970463590407 0.23154549647928 0.0697383792870029 0.151644480595149 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.46110784184742 0.704185058647037 0.801286331870699 1.24317622348485 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.872860208523933 1.22704637708068 3.24575877854374 3.37464981097491 NURBSSource NURBSSource 27 279 9 NormalsMax KalogerakisEstimator 0.000337651362179505 0.000495035794529232 2.7149148653324E-07 7.13051890738969E-07 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0114245538654585 0.0111651554359405 0.000344036297164817 0.000329322734782813 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0227084109243342 0.0218389511250568 0.00137497677744059 0.00124755013868136 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0452951144465641 0.0434346818019716 0.00555597698058796 0.00486986338011168 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.135607781608569 0.129945848761257 0.0524905460910292 0.0411918717248707 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.226198020130958 0.217141212481751 0.152040108239112 0.10914042924651 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0358317405583001 0.0346857491439146 0.00348921359124041 0.0031258174791135 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0716160100587557 0.069186464916918 0.0142584032136182 0.0121635130022519 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.143345120355114 0.138180858241239 0.0593725968877836 0.0464006064714429 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.438291986658236 0.424571766119414 0.614760836878958 0.376561644996066 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.753086237964096 0.738602296969218 1.9556538330225 0.996994716110219 NURBSSource NURBSSource 28 280 0 NormalsMax KalogerakisEstimator 0.00591129010004428 0.00414480810104978 0.000128463675663765 7.08361500431409E-05 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.027837923609183 0.0251850890798268 0.00239265339639945 0.00191203623906558 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0538577287475076 0.0493946953862382 0.00910757355440866 0.00717968769977181 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.106618084628961 0.0981353819742777 0.0366055226165071 0.0275341127060311 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.316571721896513 0.291576391526001 0.347949898395829 0.219452850468101 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.524512809842919 0.486989872534522 1.01648186541605 0.554193376364237 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0852904897637385 0.0784721286029084 0.0233265103796446 0.0177502465122728 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.169646103263017 0.156171610548396 0.0958919791939299 0.0673341943924311 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.337549082997549 0.310925313263831 0.403172371495068 0.246065880876343 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.02417047028781 0.962392627213649 4.32214755749296 1.82317610642922 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.77433224721309 1.69787115860064 13.8533478056529 4.93887113765124 NURBSSource NURBSSource 28 281 1 NormalsMax KalogerakisEstimator 0.00581946755802171 0.00671891176453136 6.94417196996673E-05 0.000227801954259877 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.032571155599476 0.0313067914891316 0.00280538296228637 0.00312163733393084 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0638824937623556 0.0613933883356698 0.0113449918036423 0.011442776605825 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.126651212870907 0.121948368547416 0.0467818616579295 0.0426812966894822 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.371261674457787 0.358927732255747 0.472017000291915 0.317313354412302 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.61360289066638 0.598892876575499 1.45015657136673 0.784358746567492 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.103471497399542 0.0989160283610632 0.0313367608866679 0.0292490541838023 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.205222635965598 0.195682864207577 0.13164664534227 0.10690416843156 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.402540261950536 0.384004168076169 0.574120824754532 0.368981105063949 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.25546900545171 1.223366129506 6.99134576920135 2.77295985008008 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 2.26241624495592 2.23002148729771 36.1190981623724 33.9357942505686 NURBSSource NURBSSource 28 282 2 NormalsMax KalogerakisEstimator 0.00376656816617444 0.0123361359947886 4.7221933654518E-05 0.000813059863681461 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0210093417607746 0.0308170611824912 0.00151607388211874 0.00364571437016793 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0413210241554879 0.0566120573818972 0.00600797563111275 0.0118525757775832 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.082168129937825 0.110280061371807 0.0244050040144845 0.0438366949750474 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.24510564766418 0.325832729765641 0.235513468066178 0.353779642307668 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.413950350207388 0.539694057766345 0.718883266838181 0.908489798713723 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0661777279014087 0.092801692364113 0.0156403348347792 0.0308184912250023 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.132236008098455 0.183840856466533 0.0652367069869076 0.116929397642003 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.266265585163795 0.366469308263725 0.284777016934219 0.439805288857512 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.871640739453422 1.09023618164676 3.62184001859342 3.22816501249866 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.61764518336784 1.85717160711855 13.5093665542028 8.69099920121116 NURBSSource NURBSSource 28 283 3 NormalsMax KalogerakisEstimator 0.002727734243228 0.0018376242272728 2.42659022838432E-05 1.26131183860624E-05 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0171621800723842 0.0129049748036262 0.000799905284454344 0.000478659276470892 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0337886973165591 0.0255013829946225 0.00318207992666503 0.00181993859199692 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.067070088923816 0.0509002527352867 0.0129918948717809 0.00695616573201454 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.195658830573241 0.155074871787037 0.12433373093074 0.0544033246252175 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.320225035364044 0.267074593009481 0.364639744286583 0.139667845657159 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0546391598577591 0.0410590272165575 0.00860356846944543 0.00449735344113304 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.108205898232442 0.08219538342019 0.0354541121405955 0.0168802959478027 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.211953040815291 0.167179458152573 0.148443949327085 0.0615367503325486 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.628018630108055 0.569306452598394 1.59070877258308 0.517080001720568 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.08984206260743 1.03890101338494 5.09165160292349 1.50388951246637 NURBSSource NURBSSource 28 284 4 NormalsMax KalogerakisEstimator 0.0032806164735381 0.00304370074992534 2.77223435389869E-05 4.64802665562285E-05 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0192280399223434 0.0155803240042038 0.00103118129122625 0.00072999805633939 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0377114416234334 0.0303329430437132 0.00408632358007075 0.00268448085733966 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0748037712674281 0.0602930910982186 0.0167053144345256 0.0102076112402853 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.218769606574371 0.183601319834404 0.159074495111675 0.0824248063940493 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.359399763017429 0.313587756958873 0.466246316855487 0.214231028432944 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.059011048850486 0.0473659768621824 0.0102961829253989 0.00653683709404505 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.117363549222165 0.0948399896533048 0.0425998693617855 0.0247474889990838 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.230880946723076 0.192822440860266 0.17867918988714 0.0918984914231023 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.687198185797691 0.638186887058719 1.90692230175068 0.750611635602167 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.19299644654635 1.14942347591708 6.16056512978447 2.1653411179538 NURBSSource NURBSSource 28 285 5 NormalsMax KalogerakisEstimator 0.00555903648443867 0.00254450810793174 6.35765104972459E-05 4.0633594628837E-05 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0214350488552429 0.0152919192682953 0.00117019091505608 0.000640514090587942 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0414126609035316 0.0300970815823472 0.00461764150420864 0.00240517197529543 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0818894850563554 0.0600085987419205 0.0188851694393856 0.00916525876931403 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.240781820129054 0.182075683598576 0.17963157079926 0.073730171423401 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.392323578466181 0.31115882784033 0.514904491125763 0.19127135997809 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0671285635247432 0.0493585320036388 0.0126165806992727 0.00627770576966895 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.133007675450678 0.0988717297572835 0.0519579253954643 0.0238060122961304 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.262315921613381 0.200354625122376 0.215202915825909 0.0881004294035155 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.75949359777147 0.660001913892399 2.19466833812632 0.68660297986704 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.30467326943119 1.19963437406567 6.98259641517066 1.93277183915412 NURBSSource NURBSSource 28 286 6 NormalsMax KalogerakisEstimator 0.00501860913110888 0.00406907599964943 5.61683682835673E-05 6.2507071891541E-05 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0245426308468447 0.0229663930106064 0.00161285553980482 0.00151292873667412 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0479194169284823 0.045144202898484 0.00637827715233372 0.00574534556326047 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0951171182168943 0.0897802955941172 0.0259662504019157 0.0221623216727199 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.282579641655479 0.267844531506353 0.247912262793927 0.180339065288217 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.465553801612107 0.445142482069703 0.721637807302608 0.453940060788895 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0772821653895643 0.0716845108561888 0.0166305920673249 0.0139132432671801 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.153717225747211 0.143132459035493 0.0683167164167587 0.0532237176433834 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.305278788145017 0.286351705899278 0.287269316117726 0.197103212573852 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.909091738313945 0.877540635878285 3.09024069563484 1.40657029917513 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.58246384163813 1.55349763618161 10.1892693253255 3.72687340757188 NURBSSource NURBSSource 28 287 7 NormalsMax KalogerakisEstimator 0.00207158552708323 0.00796205749688302 1.38026167963273E-05 0.000277603109581201 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0172918835296999 0.0298862057219815 0.000883118374397469 0.00284094674858085 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.03422592609514 0.0573418222934656 0.00353178872727848 0.0100653886702868 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0685037276966045 0.113126937418639 0.0145850374652433 0.0377938495968789 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.211911643370595 0.328131371979672 0.157709983251723 0.287612206218445 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.369060900290281 0.52995237985404 0.525966531296739 0.693425754907708 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0559019336964702 0.093989926620176 0.00954069402659806 0.027013032173248 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.11227239883054 0.186261259204012 0.0404477136856956 0.101900238181728 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.230208660329282 0.36237635370957 0.187115989262481 0.358112557346142 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.805934520175716 1.01729714358142 2.80129138920795 2.29122453176276 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.52955384286196 1.72186381490915 14.1810152378988 6.45640639300903 NURBSSource NURBSSource 28 288 8 NormalsMax KalogerakisEstimator 0.00247724308040514 0.01404123267588 2.1031643123572E-05 0.00112539332063629 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0196856406597537 0.0405346166448765 0.00114587829593761 0.00591828689554898 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0389145251230643 0.0751033013235552 0.00457043643514595 0.0186515093123929 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0775617924247765 0.146035548049962 0.0186764752490727 0.066034464546204 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.234885126543931 0.427223665499409 0.19188575435545 0.508695953594981 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.408871494804475 0.690601072936513 0.647565833457122 1.21347553744709 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0630693003226504 0.119863782470797 0.0123647836249217 0.0457100444749697 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.12643012813724 0.236731539199041 0.0519240164510737 0.168762439585313 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.257748131599511 0.462136891617696 0.237640604921475 0.594814521911556 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.932018509501058 1.29813654435503 3.91189726089667 3.7437822657085 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.82012173397117 2.20100858397607 18.6323516262181 9.50903535153996 NURBSSource NURBSSource 28 289 9 NormalsMax KalogerakisEstimator 0.00338932598525109 0.00352618577063425 3.23851086242254E-05 4.76104272606717E-05 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0200286024508501 0.0194531271776276 0.00107722943873602 0.00101827098374063 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0392326232372505 0.0379917413827642 0.00424945585948366 0.00378526871639398 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0778720185853224 0.0753234308560327 0.0174072617457902 0.0143574874051486 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.233257800444172 0.226463906377866 0.171748808728407 0.115249223756767 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.38936955993696 0.381330037962708 0.509032254711104 0.296055718160062 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0644294203539454 0.0612608578096361 0.0116875221070995 0.00966899856093253 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.128025388762689 0.122184628815757 0.0486146357017216 0.0363969457967441 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.255538929078869 0.245904455912995 0.207553788464274 0.133892583196377 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.778525857136044 0.763453063732273 2.22808693781838 0.980220955840356 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.34206994998748 1.32992385538042 7.08528922260863 2.53381066627538 NURBSSource NURBSSource 29 290 0 NormalsMax KalogerakisEstimator 0.0268470765237439 0.0212117867556481 0.0035095389191518 0.00271074997018223 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.134708343315664 0.126905553652527 0.335780759156352 0.397072119999758 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.261241533471077 0.246720353974065 1.26954716980866 1.31354445546642 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.519267182934658 0.490637620403016 4.61300576454964 4.07092980357158 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.93322722010124 1.53901913023937 2952.30393305693 54.5577929407125 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.12585152286012 2.79167841321176 1236.0411582826 329.38387333173 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.408253881181312 0.393516596493496 3.40272275660961 4.72898745434682 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.857596379469467 0.800382577785642 40.8667511733343 18.9280814969953 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.09798702165611 2.87096368686449 1446.59898682448 38702.6303556116 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.35088910073183 6.16185023262619 2084.55669457187 1716.70317636518 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.0832035713353 10.6512225119384 5687.56004642838 3612.26048347224 NURBSSource NURBSSource 29 291 1 NormalsMax KalogerakisEstimator 0.0193713395673229 0.0252499075690902 0.00122093326041657 0.00473211558764991 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.159844731466915 0.168286411431766 0.712841942629002 0.525681901224782 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.329006100455775 0.327959468265233 3.84101375176 3.03381264821463 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.871662521516983 0.872186440084371 664.760910700674 506.506110980161 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 2.30604603124859 2.29608414309622 377.990340587462 417.508488358848 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.95209029147596 3.89514004724713 930.035432076673 922.631161957558 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.934711931826806 1.05281976737772 4406.45228206331 2437.1632903235 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 1.28558428435707 1.25249695649304 865.241603879733 265.783952135244 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.3813333876598 2.53220819359072 788.622206589483 867.456035658695 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 8.20344881478546 9.96803859301467 3111.64159105308 64300.4401742262 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 15.1910483875886 14.4417394719052 10018.7039237831 5982.91010398115 NURBSSource NURBSSource 29 292 2 NormalsMax KalogerakisEstimator 0.0150884743575253 0.0400937632973447 0.000810894634609587 0.01169502778031 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.107276226870606 0.146470197730771 0.280402545134793 0.243596962974734 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.265826977486411 0.377167638123852 91.6616866388025 151.256205009234 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.473896455623896 0.575584182739534 16.2899351577052 44.8454566657337 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.7687964129472 1.72664613345682 462.947201613181 173.411603408368 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.29893600809731 3.41974598932404 1184.80374356864 2091.28865844714 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.351838323950413 0.461905536090778 7.20960138754431 3.80780742743122 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.791920244998992 1.95036275099604 133.865747418915 32447.1477601771 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.83767503193979 2.07630506233112 821.163921705019 321.076013487096 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.75084791710053 6.74311234068653 4793.41941558042 2600.66529289873 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 11.0056581282168 11.0960589526449 6000.00075203599 5040.11607033792 NURBSSource NURBSSource 29 293 3 NormalsMax KalogerakisEstimator 0.0123160987963554 0.00766684479165136 0.000596366906877466 0.000363326797051847 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0833745340671662 0.0717579559049767 0.11689095732384 0.106803968417108 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.161177824361368 0.145694588802504 0.359614689046224 0.425067447974111 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.321089327411835 0.302304789983124 1.38198366717695 1.75879474250682 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.11780405928945 1.0852945739511 143.906044293469 142.800153774683 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.84234738940182 1.95270606218774 181.696380797203 540.551007987726 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.27556899696168 0.257076929629632 5.67771647365089 8.10158940845096 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.551635621911498 0.527780754838322 12.615856235772 15.1117057128311 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.26879807039468 1.24052842129636 196.734807435342 190.457572981892 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.95533675229854 3.91124943101824 1019.63381272177 741.711043757239 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 6.67021041598461 6.39704659348292 1520.03075031453 806.218567222207 NURBSSource NURBSSource 29 294 4 NormalsMax KalogerakisEstimator 0.0155518823716858 0.0123069760197562 0.00100669024889635 0.00114389506952398 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.10066058496532 0.0856749839588505 0.973262931081499 0.316342263335826 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.193665813019648 0.170862760086386 3.30381042109343 0.691053001142684 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.383686980302479 0.356888342719813 12.3334681759828 3.96932283570855 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.42792276814528 1.21089485391662 666.878351967088 215.292024504916 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.26811241648078 2.19462943990804 785.180305745409 250.482506798992 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.344198978514325 0.303231727325549 56.4082464895474 26.190720868651 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.622748106020565 0.575971609701361 12.7961640777968 9.42587963490027 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.51614112312539 1.31195790651418 349.099215082383 159.90624947665 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 5.20448114933181 4.52345418204258 7442.36787860323 1399.54843340265 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 7.7328006406853 7.6033722192228 1687.62469727478 1890.53235929748 NURBSSource NURBSSource 29 295 5 NormalsMax KalogerakisEstimator 0.0209432031256616 0.0107726937406509 0.00147403260129503 0.00066932513735977 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.109277602903488 0.0758355507371922 0.255214917290476 0.0734517175925786 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.213818675474419 0.156770356141404 1.35458854518524 0.385309309476254 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.417676731983691 0.330074771682565 5.39122263023697 1.95850796468139 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.53377540938033 1.17104505105738 1725.84288060726 108.850144151058 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.17092969420237 2.19683057508085 229.822829935518 574.659509254811 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.404356370915319 0.265338044089207 133.004140366995 2.87966250774128 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.66036212909508 0.555708764787221 9.00337929454335 9.87559493612067 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.66562224587634 1.38815464264051 1635.30669298016 360.448233098179 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 5.1790625565269 4.75283366614562 1483.2208415987 1568.69443469127 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 8.59007030633755 8.6314258135235 2521.03031401928 3522.418427891 NURBSSource NURBSSource 29 296 6 NormalsMax KalogerakisEstimator 0.0217983410880965 0.0184784459497054 0.00156538559378002 0.00191057665354696 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.274749780424903 0.12580424635837 862.776888888286 11.7361311784111 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.241021234106724 0.21322948690295 4.16527097646423 0.564903191736027 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.469697331840958 0.433526101567705 8.59549855660854 2.15905113479583 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.45721245834228 3.62023195010943 82.0824756190358 139303.274780195 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.41843941160477 2.51271788759261 117.888323633936 157.431556447959 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.37322130003159 0.385271499853419 2.25866627823726 53.847008354248 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.746900290220846 0.758479867159575 8.62474075621618 31.6293494531733 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.65758889432352 1.6403609619069 179.365264084468 231.393891531299 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.00118167793179 5.63878327153577 2667.4240871985 1822.79866688851 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 10.2882765159976 10.243340895293 3855.87761602062 6490.70155470048 NURBSSource NURBSSource 29 297 7 NormalsMax KalogerakisEstimator 0.00937229736977981 0.0330419833233112 0.000331912036290405 0.00708906122000993 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0977126017591406 0.155577832920707 0.455296531285315 0.34406861730023 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.24284577808822 0.31912583147935 54.8428961789858 13.4909808888598 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.565366542471438 0.609895989210833 481.464002238514 19.2676783930627 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.72574058507832 2.39371489969912 426.667143843599 8459.40514698475 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.89621874061896 3.46628058740923 559.61863425299 1973.81016513694 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.340822141340701 0.467276365009992 10.8911234977353 8.1372070259515 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.73729194514106 0.913847868739413 34.9142222088069 44.6715028809154 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.61569738912961 1.82516162353935 110.856680416369 164.127151561606 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 6.31728362422562 6.59859252543991 2938.26556111905 2950.60090598441 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 10.7973732664119 10.8776368156984 3739.11302557619 3349.82414657242 NURBSSource NURBSSource 29 298 8 NormalsMax KalogerakisEstimator 0.0119881169797664 0.0505486551324597 0.000726641240840594 0.0204755133642881 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.109050936038956 0.19420087036244 0.197116013261347 0.294330583634704 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.228136226474127 0.357977122398272 0.923417889500816 1.00853459191069 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.501216260301456 0.686860376626067 8.02076394633567 6.43709005671507 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 2.37785821079056 2.17466706883166 3056.51631403484 226.316035401755 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 3.90552111289938 4.56754801968937 1294.08552508712 5729.37346464807 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.402083921982592 0.556173177728796 8.9383755024468 4.99631441201094 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 1.1158313126251 1.14284872235523 2231.66368260662 116.19633543082 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 2.00214616482675 2.69519149249009 190.2104260072 3194.50660670928 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 8.22639587987956 8.29066748015723 4559.41821558594 4919.5940468456 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 13.8563465640583 14.7631386200815 6670.60535708482 69287.65071326 NURBSSource NURBSSource 29 299 9 NormalsMax KalogerakisEstimator 0.0178858823027769 0.0186062562486068 0.00130080265213371 0.0024031029800136 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.102837704260441 0.0974811651617611 0.200591231546605 0.23401295639584 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.202658156914191 0.188835480866665 0.879536494775897 0.80211601811999 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.408912616676761 0.399304262085393 4.19857897381523 16.4391791504807 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.45052610809208 1.33397766285683 218.606683241763 207.606994406078 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.40212253472184 2.3343566531925 381.09567440392 356.598716626176 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.306706390737283 0.318251769863572 1.70602079257207 2.88311606426325 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.628472342053067 0.646249980786551 10.1396188820455 10.4238178155969 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.3721863886121 1.39106671021686 103.781355064 126.054500362648 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 4.93491707602447 4.67222757062953 1836.6501290172 762.544275883447 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 8.17457828547085 8.10789671296793 2697.66353929068 3666.51157917124 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax KalogerakisEstimator 0.181354631084217 0.182396902910536 0.134235980587442 0.213015255994725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.188745797496212 0.182965005833049 0.311908792680022 0.207431350320896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.18678015706409 0.187829603107031 0.154441749541446 0.243330832837006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.195791729666796 0.195310923907439 0.402074415761691 0.265946338167638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.248295123285113 0.24335989522427 2.14258513297029 0.987161928244035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.314203716795749 0.305365982746745 12.6233498953867 3.76132113732399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.221024317959592 0.21198936509096 9.75571227025478 3.19864955822366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.209233232071759 0.212555416754539 0.325676476803268 0.650824302292518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.291428616999992 0.262551751230605 4.34591084237953 1.42892195293071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.409347846734336 0.433767598786959 3.92126395854925 5.7710565644453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.535346195603975 0.496107808520187 6.44232375964897 4.19830985430046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax KalogerakisEstimator 0.529448517066333 0.536646497552871 1.77003187664189 2.47020810789879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.546324023873536 0.541475292148381 2.932957673243 2.51440672654351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.538893868797787 0.576044229044071 2.10962369046373 10.6231625462752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.567259548695831 0.545376777125386 3.38982576630606 2.04507602003931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.615692754771043 0.635403956140863 3.97710751712931 11.4411622390755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.673547540688582 0.695660205214663 10.4044662407618 16.7995647741488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.566816074942266 0.578472946354979 17.5712622798545 6.79663879313673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.572231425045328 0.588863216515223 2.63120354852937 6.56977487876152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.621028024404939 0.683469791713206 4.68384131135654 19.042369339465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.770096623040035 0.762821892140477 5.101347427382 4.47205665056907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.94169240544832 0.863905765241469 18.8291156222618 4.50718399986203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax KalogerakisEstimator 0.116987031062793 0.116631038708226 0.0750503251053138 0.095940052735431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.125246965064453 0.124639401665475 0.140278831978432 0.14272421274645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.152239050211966 0.171865957592979 2.32505329886711 3.2834893367386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.143047605103102 0.164827926558808 0.205517099632214 2.29640419043285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.252184945101049 0.238885982140402 4.50892871395696 1.78605854392182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.297175156656954 0.270239507759217 3.09005795966666 2.96549533154958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.134484849552718 0.152191002730452 0.149853401468441 1.03137407393538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.177498655522021 0.182357726859027 0.824395615066444 1.14398086900287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.212448955350662 0.197180002962098 1.04681633182544 0.596608689551433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.433059011052949 0.360397918480639 23.9297736640779 1.93902819252984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.501035358962326 0.571106954670383 4.41838114740946 18.1891492382249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax KalogerakisEstimator 0.145552287597965 0.144033465365627 0.295197813252979 0.313201617847239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.151027218698773 0.156037289282714 0.380144717801688 0.602416511400866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.151223885828845 0.160708773876844 0.339209174799613 0.890830099310058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.157542916025496 0.158542491044539 0.412554330791652 0.453500847184259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.210738913064619 0.232308471537013 1.02757493714294 2.24840321677543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.270839960954807 0.26355964204701 1.86701766700109 1.35749157280369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.16673644973588 0.164029117260475 0.863277605545397 0.885610998190041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.191010069416235 0.174188774378504 4.59152045936385 0.472854514538697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.2983780782842 0.261745607838599 8.99459908107769 4.23066504222003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.420882522224229 0.443916818217895 6.13944693363618 28.7134729820763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.546504350041271 0.526519065352329 6.216961566553 18.1533755476135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax KalogerakisEstimator 0.227516254676564 0.226216992296443 0.151569323594413 0.276080161231343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.229388536262419 0.268292727453022 0.192963223022816 14.6527596563909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.232964384383 0.269910414284402 0.213789927560132 13.9564957393413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.243526256472656 0.280126986558037 0.339536684766014 10.1169994048674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.290933245050014 0.297026139601466 1.90449801007947 3.88467870031335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.342296581458743 0.351703588481749 1.88087808009458 3.08432333613208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.241679146346822 0.244365539512383 0.311509663422361 0.562898843197683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.255647925112747 0.258141161151586 0.643499766557842 0.844405143331591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.30776480661159 0.291001731266066 1.73910945241454 0.851198052891205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.431862523551263 0.40007816130514 2.45315492356258 2.14872266023942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.644119376983088 0.566911925395765 27.9026486766798 5.14846423207906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax KalogerakisEstimator 0.281923245968932 0.28360433585192 3.78662919926349 3.86656185385739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.305215633863555 0.278926542508386 6.86681784326815 2.68696497666949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.374995240032136 0.289642177546778 85.5390156468386 3.00182700579696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.292243625035346 0.266032473812068 4.66893272033915 1.09049725974869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.381249909117616 0.428837679211675 25.4265317543733 120.045899037885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.386753126554211 0.404261223029151 6.29255530728707 7.41520343367105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.360671232049678 0.414100985436534 58.8242015202689 83.7987299825076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.347112098471931 0.374902995073915 30.021311934877 29.8780242987201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.341491313856596 0.331269166559347 2.58939188912311 5.22672709791486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.499821480602968 0.536063736673714 5.91100160924545 39.4070388141049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.616662298996595 0.581304729576717 6.37070704961652 4.27899309124174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax KalogerakisEstimator 0.191514472085269 0.193536997339429 0.119413713433089 0.219881459734663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.192274163110059 0.195282734921908 0.107764020356513 0.226637084002204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.192445208910091 0.196880905215783 0.100223192026915 0.234259531987019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.207126599789303 0.209488370526522 0.234096938194037 0.388762566202519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.268484352375671 0.260843255690471 1.88073203142277 3.59265346504147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.293496776472029 0.278127989926729 2.2610700629569 1.3735969513064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.19708975428211 0.204021253829363 0.109073197764361 0.339729322162457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.215730425921674 0.2207555693525 0.448293313782451 0.635608182912416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.250393903330907 0.257502896573666 3.22966620961209 1.77909560384006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.356284055902754 0.359699550735861 2.17072533414831 2.3430265849874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.484802135972565 0.4602071084509 4.76950585459655 3.13469020027486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax KalogerakisEstimator 0.40515958600243 0.451689598134987 4.77595894283071 33.0212939708137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.442759216819139 0.408241324421206 14.1401275817427 3.44856968998568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.409270948455157 0.42151484620628 3.7215845842652 6.63305382431576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.414354114187477 0.40609244992086 2.58250652847377 2.52428938176563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.488277033345737 0.459717004629281 9.37103593830423 3.10387013347222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.502229834222307 0.511012880783493 5.24527224143299 4.05306230187179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.421271188426832 0.421446516638687 4.93870425468942 4.31588402087622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.461015796970185 0.441456940979414 16.2728828228878 4.43806015307111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.451737150442383 0.50613908285313 2.35080844040966 7.15059412810669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.621925685554305 0.647828530372338 5.89158106101634 24.4027094566585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.725332632616117 0.810483355665065 6.44733675115202 209.669647308926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax KalogerakisEstimator 0.260627853733627 0.295041056879849 6.22620056504491 14.0703927901332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.318901245101387 0.344503271393598 40.8260988689101 42.2335957807663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.23717138232244 0.492943675596279 3.66001229833331 335.576327227013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.239420980624879 0.238654966515935 4.20099140802535 1.89919385404826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.239170774440585 0.279675444245584 2.0864107587084 5.22995429900281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.260777550138866 0.310304513191808 1.899838491888 6.0595617352769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.494189200950743 0.222801981523636 698.944002249013 0.788838436754142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.367540823466955 0.248675588098288 143.894790289548 2.47426531429451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.359543567555193 0.254233167862542 38.2546422653686 1.59108310496287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.367908359365459 0.395558454163923 10.5269786677261 7.96155250685329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.407542199701821 0.389293430126245 4.41764885361554 2.68976703243178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax KalogerakisEstimator 0.225298766298456 0.220651337892753 45.4888624353009 35.9253627353953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.213625791597147 0.217101829696027 20.5719711255171 52.4867941201101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.197986521106819 0.17233938656352 11.6920623696646 2.74222444375503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.179061169133903 0.244276184990504 2.21509620010453 47.2866412033554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.231742223711347 0.3367301700149 7.23455093056843 57.0327290700739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.251597904326099 0.261766220200174 4.58162329491174 8.62002979840523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.215138356317725 0.176669847508783 18.8550500370295 2.92628478444135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.228807983607908 0.204630013114345 20.9626259808723 7.55014643557204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.233735802672453 0.22049897958601 10.0813937212656 7.44251607288146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.322035815830691 0.330947587858855 5.44243163789795 17.2656543049316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.402197038383331 0.405024265033692 6.06241164289028 6.36426267161626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax KalogerakisEstimator 0.0693382234733328 0.0688655912580539 0.0518077808675262 0.0522204249565525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.093091984412645 0.104408549480605 1.70450311221995 3.86747185752218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.118205948852818 0.138704736934079 2.5422671036947 6.81414913242107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.215041847154616 0.210228360776665 24.3981276343617 11.2529892763417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.370891072466371 0.345105338406709 60.6558881302389 12.7907777450981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.524641554448457 0.509070651137939 41.4995442300279 24.59132480673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.153091585445806 0.147742473764879 4.84842076273145 5.37038080487526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.334640206881555 0.234565005815077 70.4092285927296 11.4970842919669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.397489473276314 0.445831141114497 24.2935627063801 45.7154847012815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.936981338130845 0.859878443148583 79.2511910015705 31.7153657991022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.24593160633128 1.24811452586034 50.3075599151574 44.3156882451666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax KalogerakisEstimator 0.260728648601948 0.260722922810758 18.1302745092142 18.1261281440798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.228247633582067 0.223072947415943 0.95941533918645 0.872100214501419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.257915625927039 0.273520584509795 2.78484430984342 9.48388627341201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.312351905133255 0.340883761895199 9.5902890775992 12.2841557379586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.535228781102613 0.498233352665097 28.8420644524748 21.0337295662904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.717224284321051 0.717047967890263 67.270523215753 43.8463933623973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.386490023417177 0.297263726111245 38.8455739328395 4.58292532828123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.364484790344045 0.392157749940623 12.5522183863639 16.1906832833626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.51146715704111 0.51263863907924 16.1219809385402 15.6266719613481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.08550006097487 1.2075208296836 41.8403254525242 269.482114032605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.68067671508164 1.57089155515906 83.7754400048988 49.287487617384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax KalogerakisEstimator 0.0985307489413733 0.0964003489465966 0.388215275853655 0.246313674170595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.130217077391033 0.120819332138429 4.65259703819822 2.07230004807044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.146630537463344 0.12626432415179 4.535246842641 1.01123098015079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.188083649114255 0.191145104412823 7.32226895800146 19.600664796803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.36240106806873 0.33615278302127 10.9051794113294 7.4216204140874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.592798797597099 0.594999078331625 46.5372290731485 179.044158281309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.207571626007656 0.31292378219512 14.4104589685973 169.573894313193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.244557432625153 0.346224569183669 9.11649942479657 121.669191487162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.399805301552772 0.484473311886053 18.1923027529428 65.4290750095104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.919603848854972 0.955911210813923 49.6106339712015 37.3950805608578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.30728438163209 1.29930517349552 36.2912577585834 46.5421313596545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax KalogerakisEstimator 0.0807104395211696 0.0823364710107829 0.460312452147649 0.48700920235605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.167665796903966 0.0955104937044635 41.2405418535597 2.01892740573556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.13799676589606 0.126869069545049 14.444936114146 5.84469083151864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.220152855728454 0.202924057502339 14.0150083173587 10.5332705834232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.426891560347592 0.454204160973488 24.3725246265536 26.4519016258514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.599298854306338 0.597320415762155 28.2794401999741 29.891530805905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.233026894303116 0.150426763743755 134.734226834349 5.65353661102494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.236108823678013 0.238102251163701 8.18009055770298 10.8138532419101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.443915380565161 0.43695601053987 36.9809337264339 36.1667504271969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.05168749168717 0.97248724517219 99.0322778737883 31.6063618309258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.47394040658304 1.52959940753345 74.0154462088093 61.67350336796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax KalogerakisEstimator 0.0698709444036346 0.0699855093675089 0.0140884225249053 0.0204474520729813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.08420198102328 0.0851465620683566 1.24153731724273 0.716872995283561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0994468331867041 0.100586878413059 0.914328723447848 0.770795415677256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.150341007048316 0.15290842160271 3.43083008406327 3.12270840228179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.350835844395013 0.369100003988827 15.6954715572677 23.4321499604008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.522491204777617 0.531119275014179 18.7590951210866 21.8165543045797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.132673058181393 0.166485734121991 2.17799839173511 8.23909739738176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.20878965380065 0.242822583175375 7.43367874577582 26.4063003156294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.358120979221511 0.332155584716048 13.550469487917 10.2625296645358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.938919601215763 0.945572637494054 77.2207146604701 48.2737688291796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.39464520110267 1.37164685941609 64.3249895662278 47.407841741666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax KalogerakisEstimator 0.117960386790356 0.118771590669886 0.0707532169765747 0.0992049993860873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.139430573912695 0.161949263802212 1.29154297366588 3.3240946736199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.19781129829254 0.232142379509037 7.55746955755618 40.2424023211498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.257000964037362 0.267174443750024 18.2048499883432 33.8907648571024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.359092689380829 0.434553895187513 8.6267032793627 58.6534901654601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.586074095226152 0.53763618535969 39.2938088772838 31.8537085697944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.196114079089841 0.192350250710338 2.61466028470476 2.36873034529505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.409343222617424 0.247316224719557 142.59570271263 6.18495120018405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.390995317580656 0.4879766990118 13.1156515671126 192.331280056007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.894828913613658 0.86763638021701 38.8931000849214 30.8603136305027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.33083331168028 1.31883999925554 92.8689833878565 69.3496475956025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax KalogerakisEstimator 0.057865677416079 0.0581641260887084 0.0244643530321967 0.0328529432236527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.112388816539263 0.143748033647684 7.82659439388493 25.0114419246568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.116147600560983 0.112657878666283 3.59868247587506 3.90037379642816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.174288491142918 0.160788152006373 9.58364973824393 6.35543684567748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.398733826198121 0.390724359546778 28.4523081521108 18.5056498345765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.552778496962316 0.533602772556304 36.44987169677 70.3215972471553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.139265911156727 0.133842669113781 6.44210399552033 3.32123987903204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.233356140030321 0.240429188445283 14.7596585630823 18.7773582749086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.375037100744815 0.346374854959086 29.1417233317141 13.1441896450685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.883372512303963 0.811951162790532 87.1241607097394 28.2493392864294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.24959603141785 1.23578571040817 57.5576183317804 55.1370267667872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax KalogerakisEstimator 0.156249869821332 0.157364591823393 4.0507563425623 4.1064531447051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.172610122847845 0.183912645224957 5.52961369687504 11.6761249867393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.19208091145613 0.203201883006562 4.61549223398393 9.14731272949739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.252104360862583 0.27227692542707 12.8469756797284 24.6588701676197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.490569884235608 0.457214511263214 37.7520420334848 52.2079212261819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.66813851955756 0.615260614855273 47.7120470931825 32.1086756916721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.241768691694914 0.225352212910766 20.5007864351115 17.2663364494698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.34105550743749 0.304596150547346 60.2846024933496 17.7316981764319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.4565309874456 0.508255111767406 23.1927883438942 39.392859888939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.02583439122536 1.00607272298765 49.0879943210204 47.5264052715534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.38603069008119 1.37421905278247 75.2547970017537 41.8933776716053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax KalogerakisEstimator 0.0727430848073379 0.0748581907196979 0.372452798929755 0.531175026120973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0850584574876367 0.0852610296561338 2.61166735453622 1.24110151408705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.119408372323545 0.108827779894918 10.3289294585412 3.63344222479487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.19322728795038 0.146547746952461 51.2870653834049 6.9811364259975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.279655652203742 0.327923569196528 16.3548142902533 42.3076032930727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.402215260609883 0.471133484372783 28.6856467312227 141.118281049548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.115230675711587 0.117251820445591 4.32311560035603 2.91546568858773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.173209569857273 0.145050575106438 16.3837251282043 3.7330126679704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.317506160542906 0.265830058428624 34.590216441042 16.4326828136791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.698322266515196 0.614839186048143 70.6455819721057 30.5859084860092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.900310675081143 0.948602217874825 35.9176815992574 165.920634806836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax KalogerakisEstimator 0.0435664862025409 0.043580128101216 0.00619156122471353 0.00650211951231724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0702309635519669 0.0635558982384697 2.28640657576499 1.63680800333695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0822132863261057 0.0829981182507356 2.91247804443576 2.4511956456639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.117530888601055 0.151129460372756 6.72879239063734 36.5780010543763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.271802703373668 0.272804605366057 30.6701969211872 17.8818883545307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.429998169677499 0.381814272894407 58.980934122202 36.0926074883915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.118518633093698 0.108394457735377 36.7341876524688 6.68823005882325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.167442080287713 0.184145535347809 15.3535502016585 12.8994909655741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.248217857767683 0.277826536626658 9.70783394738013 25.7509887789614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.590930906092058 0.575352895119323 28.6587962587023 25.0285361422996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.869936295884161 0.879636728784268 38.3532641384089 43.4929468355076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax KalogerakisEstimator 0.050049400549854 0.0435506070520245 0.0108033288942495 0.00879275130543707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.147386877512811 0.125732537629505 34.5677581154258 7.74970277758096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.612790143132659 0.357933765693055 1786.68829178359 142.391044504151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.486898762275051 0.434750250718033 105.346677523307 57.6272937630811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.293463265533 1.14013564938303 667.89640521816 253.957753523519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.94769804716575 1.97571865164287 639.758163118911 484.964307960742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.329703905245164 0.323072174004537 85.4870996141104 49.7796744530627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.748201387669563 0.703475544380705 338.195404111899 123.811575304251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.6230948133645 1.34104985757014 878.316546260686 237.632928642721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.44124311205085 3.69759936586331 564.526862067098 1444.23042180454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.95542767330339 4.91649415471941 883.203434927314 538.817833669855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax KalogerakisEstimator 0.116502181601723 0.124188483764501 0.0538540732963533 0.0639638250111339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.203424580387905 0.189020196118284 71.9965365629428 26.4027677348365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.313439810080526 0.347411087346495 73.6321655727605 87.6382195445385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 1.07976748575723 0.517627939343105 14465.7321121037 56.9120478316077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.41568563269378 1.53126920870934 222.355528557863 311.807003304977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.19781614062509 2.34783343678013 715.262644955649 688.390044609292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.445406794548268 0.470116589229629 90.8080996698002 85.9887112703096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.721360849337621 0.845526467829493 80.540266003644 150.284667087531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.46365768419809 1.57161224706701 337.172990803321 630.411476029029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 4.00272219623221 4.07947141927387 780.123164928501 732.688567197758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 5.9718953028439 6.35019418971063 1071.75451679235 1114.10366447296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax KalogerakisEstimator 0.039150114337884 0.0408239831498012 0.00738780229738872 0.007107988621898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.195598513929539 0.178417452192203 31.8481987795507 22.0769552756508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.497905962367286 0.439566815185555 287.767994374954 398.730498800216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.602121769642798 0.533678605320688 110.153607697443 78.9252468135911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.68560507465472 1.47808882281446 376.38020061725 201.584627031045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.57221585626842 2.54342567322329 838.585457092903 762.653477372669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.566413870900525 0.518968962957091 140.541992046638 226.083889633741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.959580691467519 0.898947109621882 162.872174903854 121.523762585777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.9188896265945 1.65946317641231 782.421339090387 294.804111767657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 4.47414108983964 4.05878155736865 2009.57384742704 400.525241047885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 6.6672007912045 6.82593585497204 1511.66255833098 3467.89692566534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax KalogerakisEstimator 0.0284008124188254 0.024057663350344 0.00331256433178453 0.002452600681794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.172232537054143 0.147298828498011 24.0250432072161 15.3362698579274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.298334875084527 0.307003530649321 36.1470482438977 50.4749704135483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.642531831826747 0.504028584206089 188.741047394657 57.8483484841676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.43629908008502 1.29467078267642 192.006470222764 144.68290148304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.64118675474915 2.4480695637653 1182.02605485797 1136.5195431494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.411485705125389 0.443693106489197 44.144138171402 83.8222228311121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.861387248053075 0.819983145850115 120.820584012825 153.35738761395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.66843026610848 1.74037816140517 292.720344390794 449.564829649954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 4.49724722635879 4.05197797174862 1695.6948417685 568.679796042435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 6.03928691344204 6.07257963554947 783.314387299114 787.863147104978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax KalogerakisEstimator 0.0524658487979062 0.0573739351976382 0.0653108982578171 0.299954051223984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.189547485794675 0.335251641557962 29.8991865946037 166.70250584408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.379430402768754 0.541374617631439 139.392026175065 239.489204790824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.874006264210598 0.724759558558575 722.809592000133 227.90796276663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.4787592676075 1.38244644100487 261.024673027497 176.139517112172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.37292554587485 2.11944318603234 660.492584862095 355.808453922217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.545258033528404 0.673999021933979 133.353782597331 321.915596564032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.849303086290948 1.07646538175907 187.580456057427 638.878282159814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.90401318899719 1.56285276631324 1486.54274168512 390.910709184936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.96244590731766 3.93310523139915 816.283969930713 1422.3223476501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 6.1717398342767 5.81165007953069 2198.2906256222 993.092183648037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax KalogerakisEstimator 0.0555370378770463 0.0663213798733898 0.0149090548815823 0.0216367938465982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.177155329507802 0.195792041382326 38.1765115559441 76.6734783485759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.260202554403145 0.285580907290743 31.420145876069 44.3860453031915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.50502356286935 0.461460380003525 124.228054711773 68.33131905469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.46374054177958 1.33518988405928 381.523899858442 190.757539417464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.27529011742366 2.14479410504378 901.29999060089 1300.99515319525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.490222862536236 0.610588434105076 75.6523945579126 199.117352821994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.793121226310876 0.923393188540195 134.888043396569 422.892322795194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.55494006077101 1.65629348459293 509.483214482359 679.194325117311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.64626903518747 4.1431638887013 674.712215672276 4667.32945707541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 5.53884707736669 5.3778452559123 3182.48068373056 869.775953269413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax KalogerakisEstimator 0.0386039234341428 0.0326925090376319 0.00539451973800149 0.00436509526324572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.157484957225039 0.182580992276338 36.5803130368708 61.7183413691176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.211843267022186 0.290543469257797 18.476997022363 53.7886557253666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.556099578698431 0.479717834433548 246.093101242318 74.7473264992488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.27168862377784 1.7555470724529 232.299124414251 2087.22994597937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.13829843996898 2.06621294619283 566.028642272732 394.333511412843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.55117468669862 0.415356985296167 837.39398628886 135.063385090262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.996804554654192 0.947468712818007 580.255647368312 340.115366153562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.18547493510443 1.34424268548016 144.451044225461 363.722720277438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.0798250585521 3.03902015148329 406.796039098909 342.178208017209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.98384077285142 5.04845261544584 869.082215194842 882.539727822073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax KalogerakisEstimator 0.18221463895308 0.147141657285817 343.161663186007 338.759887132072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.476385993039685 0.33025888387175 4217.13990462649 572.061860468175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.47765772796367 0.368843419513276 1424.21113510619 131.895182334201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.617357923391657 0.550513570307855 507.92156730842 192.922956307362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.33866389948627 1.44251410459689 433.470041745031 640.279898652009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 2.20630571681179 2.17955627486197 582.397150246704 966.902874974504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.463191822633206 0.45029067792318 70.8682044190739 90.8932897794811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.995310267075589 0.937229150790664 724.546002493646 553.511608052587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.53971334027341 1.45536279518678 312.87537213197 457.402419723788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 3.67201641963044 3.82160651592307 883.046128695758 798.152577266355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 5.59456335323397 5.69123256580622 1050.38739549854 2075.36846805789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax KalogerakisEstimator 0.0348037211719912 0.022484988720696 0.0046798970906581 0.00306814215268485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.214744118870649 0.913801381403309 358.490534400127 8294.67120211409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.225864576522928 0.297777104233432 59.0697935919122 394.155734733619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.423594065830481 0.344145883794207 97.5549796508748 62.9078690269959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.08680113281689 0.88565479887322 463.122176747677 177.769095566239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.49646982116319 1.25707607942724 390.72763488558 268.82974955298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.2975656801463 0.278744815943934 60.7426299207972 153.523872636978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.460321292697526 0.492171482605538 48.1187182584048 104.84104685988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.916019564023857 1.02927427493793 126.212467342342 292.952932343198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.46771580634595 2.50417656337995 794.487160174711 834.203920252167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 3.48205949757587 3.41815609447831 634.654497136734 591.176294220891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax KalogerakisEstimator 0.0290526930188575 0.025834263855485 0.00347684828574761 0.0028849193303308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.111662962304398 0.134741426889757 39.7889143907585 45.9591598164525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.324806659220362 0.250342769406925 196.887840653608 83.7137187904935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.385613797779385 0.375147631580699 82.2625668779007 76.3921317921194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.22323686492948 1.04938643388493 1302.90583671444 239.428998391275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.63626015532606 1.50378753096631 747.663978912346 285.26474265626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.405955772869731 0.371985513514074 230.790703669041 176.029608967625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.48458234031437 0.479182709390232 115.811939825411 131.2380874728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.998809462879976 0.986320124881478 342.459571905454 915.592776935798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 2.51364695524808 2.30021088363796 585.210067450693 367.748731486338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 4.16551803727882 3.50620436694487 16322.0948500964 529.908848869788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax KalogerakisEstimator 0.758849920050051 0.791672532226111 1.53727638360734 2.05333130165744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.758707253566843 0.791437036604996 1.5371185293831 2.05263438767377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.759019276306798 0.791354222963303 1.53939018490646 2.05112834969606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.758227967973063 0.791613008517688 1.53622412756248 2.05261499317892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.757497405096067 0.791987334700119 1.52823067569183 2.05634501687415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.758386063373953 0.797673676437032 1.52685773817361 2.13383135154867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.759245627116142 0.791137727680838 1.53750262512622 2.0528056152533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.758083398824854 0.790096273722951 1.52983805432877 2.05015831748895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.757962777232687 0.791289211650612 1.52229964019826 2.05664383653326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.756216358645189 0.787158568362941 1.4823066040468 2.05551256605227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.755009431105718 0.784606303994528 1.45652783291936 2.05714108493202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax KalogerakisEstimator 0.150652106628773 0.104162444397656 0.237649949941504 0.101534988593256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.151405015422336 0.104477205950818 0.238083620557444 0.101567634909517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.151618331676638 0.104621172144232 0.237507264104468 0.101494708015947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.152661346111721 0.105167782132295 0.237552119039044 0.101311040490467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.160199299155665 0.110724552016436 0.240214182495548 0.102777571505358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.167267901376364 0.115242134235992 0.243246823310028 0.105049586394349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.152362601190153 0.10501840475395 0.240897386380239 0.102184942194189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.1549781007251 0.1072514699394 0.243643372899779 0.103072381757532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.158729193659947 0.112326916457547 0.245646558632593 0.104944004525988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.17762112116414 0.133631112217603 0.26343512571188 0.117556549104306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.198058162209178 0.15605240077226 0.296831453622667 0.134383166458094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax KalogerakisEstimator 0.154303269782703 0.157589711039473 0.0610085511151621 0.114784559708148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.155019622916756 0.157390656949048 0.0611713018206432 0.114575800051012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.15501278472548 0.158063567337911 0.0613227467149712 0.11481354797329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.15567358238051 0.158235358989124 0.0616873269527734 0.114516096708088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.161109850322359 0.160556814439994 0.0649611210029733 0.116778506977974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.166396498309427 0.164809057346648 0.0690031494932728 0.122973596230461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.155079455911241 0.157848392912717 0.0610099471601168 0.114539208909386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.154756674186692 0.157831734879095 0.0608754375403445 0.114147835961458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.15845675487618 0.160123463062286 0.0631210047422289 0.116536036266168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.175597028818827 0.18188572621767 0.0719542623391667 0.147474847098058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.196582841397461 0.202357879139292 0.0835833124979037 0.186402924528692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax KalogerakisEstimator 0.0347965973937002 0.0338400867666246 0.00386540080112724 0.0054596985564939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0345592288564252 0.0337793242709326 0.00385671610875505 0.0054728898978234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0345688194988906 0.0335664398218169 0.00387107072119558 0.00535052680976119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0348086680213166 0.0341262630957204 0.00393216915723807 0.00544497814946868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0381655205770116 0.0380635215643129 0.00457722637891371 0.00622450343215632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0427827621962205 0.0427352149648881 0.00521604022815235 0.00718809998737362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0351019534182797 0.0345841421913863 0.00385159523019946 0.00556500571600001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0351685093681107 0.0353718939089593 0.00372953602859875 0.00555483287985383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0373374651335384 0.037808016109952 0.00406860438974271 0.00589197523302033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0549135309498621 0.0536535524908505 0.00766059255728558 0.0095218112129094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0764798802741199 0.0736668870478541 0.0156348654888966 0.0165766404483538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax KalogerakisEstimator 0.185763249340055 0.201257378305553 0.120813257773132 0.208329557390167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.185767743987823 0.201266231730367 0.120627580580781 0.208070587777906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.185967191670084 0.200964910898355 0.120627268055669 0.208073475028002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.186546507446134 0.201802157291601 0.121067588636551 0.208559740359833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.188295979347582 0.203525949404528 0.121637383033496 0.209146444006187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.189840103888265 0.205175916260799 0.122572182993848 0.209155093572726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.186399402332228 0.200627475048083 0.121491828932506 0.206710379111481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.187448533221474 0.200759407214936 0.122723286371118 0.206387861273626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.187267647537339 0.20122489673876 0.12203433832987 0.20636359107465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.190667911969923 0.206879273224332 0.126002582212675 0.2118637980295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.198271871760049 0.214772724609181 0.133522900616814 0.218533868518022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax KalogerakisEstimator 1.09663073200702 1.09923081201815 4.03466923003466 5.33430956096846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 1.09675302422256 1.09941501546703 4.04083103404682 5.33678829617743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 1.0971010350746 1.09996779289346 4.04134034510229 5.34068203272868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 1.09663036589538 1.10002427377657 4.03831326999721 5.3404916885217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 1.0944229874575 1.10045924290203 4.02218152827833 5.34351276188202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 1.09469126604027 1.0997717289665 4.01422378986183 5.32895714049785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 1.09510308049958 1.09883728725264 4.02603350646638 5.32961523038871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 1.0943886323886 1.09822931312343 4.01874996767844 5.32466425736933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 1.09311661156498 1.09819741203917 4.00675401610191 5.32618975907243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 1.08313817234968 1.1027875085454 3.95246605487144 5.42194542158615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 1.07966283754247 1.09876603760447 3.91580280858652 5.26453137579215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax KalogerakisEstimator 0.0365737139825994 0.0352182844949388 0.00388477441145602 0.00418691897436427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0364607213385014 0.035412984165405 0.00386936713590642 0.0042001868353435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0364050918334631 0.0354279001621207 0.00386506497246544 0.00419690974229641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0368942789680014 0.0356092058006655 0.00395880689763175 0.00427291699970513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0383218074715731 0.0374574863527823 0.00425456660563132 0.00462390281390176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0411199152416856 0.040977010684478 0.00489288317009691 0.0053140630295604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0372428270586603 0.0356990916528376 0.00399439238750953 0.00430540234522466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0375725937543271 0.0360104890124011 0.00409595657306238 0.0044152162841993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0391980669636081 0.0376290635477743 0.00451877969645253 0.00474801110935864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0544357789127084 0.050350298294956 0.00951483228727455 0.00724600732806439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.075183138497686 0.0685933173766588 0.0191436536722679 0.0117452577998532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax KalogerakisEstimator 0.777498606782573 0.682876728559594 2.28021185670096 2.13659508423643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.777467340661709 0.682942217021928 2.27924261274804 2.13986265786705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.7775186312414 0.68253990367014 2.28048130762073 2.1375271519719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.777376185468519 0.682364857604866 2.27958343768657 2.13450623504233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.776910674764166 0.682349100051453 2.27410067671731 2.13205412128454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.776715336503371 0.682647607777045 2.26793629469117 2.1327776514732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.778194586941191 0.682537273225957 2.2831801268197 2.13173670222885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.777512446109379 0.682382393473363 2.277691473918 2.13224988822559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.777384946819788 0.684478774111796 2.27145730480722 2.14584016561479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.776437699870365 0.684420276717915 2.24893237550167 2.1491943359729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.77800120294467 0.688294519984325 2.23552608972418 2.18203966250984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax KalogerakisEstimator 0.928718492550748 0.933771876156831 2.86962655098454 3.19854580722624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.929530650261181 0.9339643581313 2.87477055801958 3.20088719568116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.929255659717897 0.934339183481455 2.87293605729714 3.20132343414741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.930335522283343 0.93500186137399 2.88176444098719 3.20067384696337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.932204434445284 0.933997345272768 2.89242561725435 3.1928318726493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.93203077733937 0.934009019030422 2.88503076197636 3.18410172508748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.929332836337856 0.934169346933994 2.87803420877814 3.19939895567825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.928376186488668 0.934085569756307 2.87277541882392 3.19709906205246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.927667767566688 0.932444940694264 2.86812764968087 3.18751690075731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.927142766434038 0.936583228902828 2.84210353152504 3.18780552329311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.930325552901997 0.936834945242849 2.83437433792045 3.16290382320772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax KalogerakisEstimator 0.0695231993641604 0.0659974306128653 0.0137315975367606 0.0159588204320795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0694721225780552 0.0660264695467806 0.0136767617568491 0.0160074622533053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0694772256903533 0.0659980162376064 0.0136301876213469 0.0160233797831607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.069496679061214 0.0661255604122121 0.0135320066583168 0.0161047497182708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0704631439719776 0.0668421975762417 0.0135291084392084 0.0163461212478406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0723265408598553 0.068462152007876 0.0139965972648933 0.0167753448062355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0695750531189281 0.066109924618064 0.0136422297737917 0.0160219926610237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.069973450433048 0.0662452776924011 0.0136554894496466 0.016121690851448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0711046013848508 0.0672097728903193 0.0139120364449878 0.0164539459324436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0784276664021912 0.0741608590112176 0.0169214982158893 0.0189079838281555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.0881840765007703 0.085642543184482 0.0221317791611213 0.0242485030712812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax KalogerakisEstimator 0.17963542848309 0.22278545417755 0.150427736992091 0.198028768345411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.17957389691489 0.222954339332809 0.150232851386093 0.198031858921979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.179719929925119 0.223129217289851 0.150333024151309 0.198243364852732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.180516745759301 0.223907503948929 0.15097947604602 0.199222197054742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.186162244831042 0.228273615927378 0.154944147709681 0.203053572666373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.195029921917853 0.23484172499619 0.16197884378919 0.208427133520731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.179805250281242 0.223524850140172 0.150463757981916 0.199259949768899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.181026478532771 0.224692063793021 0.151032808896816 0.200451673300232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.185825852309293 0.228363610955248 0.153832400046703 0.203963852751517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.219648055008414 0.255094513774809 0.182636552353508 0.230475793909139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.265170297656144 0.293469196059294 0.238936669640549 0.274030467271224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax KalogerakisEstimator 0.0318260775749691 0.0246087955246689 0.0151668438107847 0.0115802879746616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0324609133621825 0.0252636355442764 0.015614179193467 0.0116281807803824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0337306517375714 0.0265956328589636 0.0154877202759879 0.0116815285505273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0370671114159971 0.0302304841072862 0.0150248477871832 0.0121550600764359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0540307636125391 0.0462928817900471 0.018071601223368 0.0145852381622463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0722875208338976 0.0638240942580354 0.0243090181270066 0.0192225263994637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0362206137202431 0.029505722718675 0.0156512862711754 0.01215408294646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0438729066559674 0.0363209513170323 0.0169885027383741 0.0133538951010535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0591715633693512 0.0506114259739222 0.0193048766656519 0.0165061831199556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.125403606732588 0.112278172491685 0.0532399594748903 0.0417874140235049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.194398631860978 0.176920195777921 0.119823718155061 0.0870185167348735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax KalogerakisEstimator 0.0698650178680032 0.116443453622597 0.0312249732567085 0.131680711354101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0704155847325471 0.116616452337762 0.0313303734511952 0.131563081285546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.071542696593477 0.117440510329595 0.0315751626069002 0.131840753932541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0741432058086986 0.119742677756084 0.032092314539011 0.132831322656246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0874006944175603 0.131929600690252 0.0353444038281443 0.137568143864832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.10281605716419 0.14668759927273 0.0409206387114439 0.145800866523283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0728384103896132 0.118428495174481 0.0319804458318269 0.131791020091934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0771509621573743 0.122388605079382 0.0329485944569782 0.132915181013834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0882814445266594 0.132196974344964 0.0361347964984638 0.136281388955286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.139383068864998 0.178289348840285 0.0620655746823752 0.161510807771651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.196576149133983 0.231163557265901 0.114043780406594 0.204730032210608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax KalogerakisEstimator 0.0302969053047861 0.045036137656474 0.00292666583055921 0.0101848559375347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0309528455824435 0.0454908140147188 0.00297603974633539 0.0101733117385339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0323428648591155 0.0467341518768114 0.00315453052074274 0.0103485704823747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0361870499435851 0.0495708894201806 0.00374483347365697 0.0108310407832203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0531790447968403 0.0631571524892906 0.00726499840800976 0.014454687758687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0733157521191515 0.0810451290606275 0.0138485565995888 0.021009387626314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0343668734873683 0.0478840408786215 0.00345168771236377 0.0104250010635199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0410607949490182 0.0528161767975018 0.00460561156734562 0.0113807196275529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0550981153792984 0.0654187103593702 0.00760533368407806 0.0150464985618351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.128222625961931 0.132139852470833 0.0466035701942541 0.049306127399315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.207950121442632 0.206311915255235 0.132816774833319 0.109249000276261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax KalogerakisEstimator 0.288202600788778 0.446739497972953 0.570365273624474 1.10999423549723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.288230837725456 0.446721819641245 0.570010006835209 1.10921857275932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.28829941888934 0.446583744746982 0.569437242858002 1.10767621313021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.28856892168074 0.446835941991563 0.569255725846345 1.10543778856406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.292776136995794 0.448277649908537 0.57652576738383 1.09204374194689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.300429479650099 0.453281689285749 0.586712721505419 1.09005979589642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.288872264654806 0.447623567084658 0.572297516933002 1.1093706921987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.290140168256105 0.448571103143306 0.574755941778891 1.10660687871616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.29375688858126 0.450580782852082 0.579267701249528 1.09884664939759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.325320735099629 0.47411440538563 0.618960981762312 1.1170718863137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.368301985341725 0.51013855525419 0.686248802402532 1.17276053010252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax KalogerakisEstimator 0.0263741806706277 0.0304761254513611 0.00174280252589256 0.00384583458126205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.026778619341182 0.0307811252470183 0.00178356834843815 0.00387921372310531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0277980229066115 0.0317483832429006 0.00191739321768995 0.00404487162961804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0301504045075354 0.0343440477221829 0.00222917254245212 0.00455453162504647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0415285637789235 0.0457499966608261 0.00402097159724103 0.00724975332318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0568331781531113 0.0603684288429924 0.00797773979494416 0.0117717391517907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0289956013584301 0.0341896901737564 0.00207838939720123 0.00458327650769254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0329029546531694 0.0386553659383857 0.00249191639589398 0.00554680339384074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0433287554193203 0.0482715229990018 0.00435748997346042 0.00791276275136986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0980896087243835 0.101247406868666 0.027851873286977 0.0294828456623212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.158537138144856 0.16128825668453 0.0801184390983916 0.0677817997385296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax KalogerakisEstimator 0.0153721616760014 0.0174839153349904 0.00108223320034566 0.00220569007637262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0165661598805976 0.0185726205035571 0.00115215887298342 0.0023562984664477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.018282142745315 0.0206067365386703 0.00126053185753615 0.0025011461020303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0227719250111805 0.0258514986865823 0.00169849866447964 0.00300673583341923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0456140081664554 0.0514335619541568 0.00640468767482103 0.00806286936814982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0709429178314271 0.0782308453922435 0.0162920657172571 0.0166298036848421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0205895565608067 0.0234361586948767 0.00145826598519594 0.00266713049491467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0293376896221751 0.0325549385760908 0.00268531166641832 0.00389346749355283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0492073323831367 0.0532363761155732 0.0075094311599057 0.00848389362626349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.13355354754314 0.141907038713963 0.0642719504195354 0.0510037908369098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.220889504979794 0.235365962942194 0.189836576249715 0.131169596251984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax KalogerakisEstimator 0.00559662010594089 0.00455686098668319 0.000210114215315522 0.000185983976886376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00671155550245876 0.00571436501835545 0.000235957112181947 0.000208362100012522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00857370162716175 0.00762626810119542 0.000306075112776815 0.0002699863221025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0129053592825984 0.0122469253576019 0.000543104847504801 0.000497420448348497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0322670044333222 0.0329760258020528 0.00292637531226247 0.00289067455928694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0523281087311357 0.0542897699990926 0.00772340632116925 0.0075853349796677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.010889678920975 0.010363091495015 0.00042408884356965 0.000393068778042294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0181990418166003 0.0184478186812326 0.000986290314970282 0.000993347827948897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.0337639015914152 0.0352287718049126 0.00324134474138849 0.00331914819984934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.0980721471332184 0.104793593115045 0.0290988662845509 0.0268899251201579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.164629129455452 0.176319798762706 0.0868798737820596 0.070734556061158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax KalogerakisEstimator 0.10329666879303 0.102113402629694 0.121702691597051 0.117584934627697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.103327983668798 0.102344691170302 0.121798726884854 0.117677719134971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.103888676563779 0.102939846152692 0.121988700546579 0.117948965010607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.105796630501358 0.104879548150647 0.122906085372931 0.118764505887978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.130313980937512 0.121656851397005 2.9477081313658 0.405465885079609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.134138246260217 0.133250024938289 0.138065660353782 0.136508093093199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.105255774424432 0.104711352516718 0.122689574776599 0.119131155789802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.109630985181874 0.108754340547551 0.124496767753012 0.120614676460176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.121028397270862 0.119772273223299 0.130045764405992 0.125849565026088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.176846677276938 0.174608913410509 0.169409938398007 0.185034441277369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.236859229710714 0.233493974548558 0.232899270334538 0.241728268667531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax KalogerakisEstimator 0.00300896724339122 0.0038078473795932 2.13586691563155E-05 5.61613632501585E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.00471770975476082 0.00517981839178691 5.58434207135706E-05 9.48503506637862E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.00752541737159569 0.00799538787956823 0.000161431400840417 0.000213420527329448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0137055149765789 0.0145112374604893 0.000596601409614359 0.000651468075837036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.0385883493496157 0.0411962055305835 0.00548294476207514 0.00445581084119462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.0638919143773762 0.0681283650014736 0.0163090991732105 0.0109391698907913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0115951864415928 0.0122356744736194 0.000414204064594423 0.00044741882898013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0221423304781467 0.0232991814142544 0.00165168071219204 0.00149604601347249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.043607379448414 0.0459109517139383 0.00694161470640192 0.00527446985526967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.133837254288499 0.140200290850789 0.0772557113725451 0.0400222646606002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.23119568902027 0.241753884116494 0.238830618053425 0.108662728308215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax KalogerakisEstimator 0.0322068207300543 0.100670968270875 0.00537078337087391 0.0392158998935431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0343110257825767 0.10156436199085 0.00562411695372827 0.0395600730575742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0396608371726384 0.1040808569113 0.00647770832831447 0.040680443925968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0543665589062675 0.112385219536315 0.00991543431315708 0.0448479312091228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.126550868564859 0.166509365306512 0.047180898929349 0.0823738425846674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.203778169724237 0.234667265051972 0.125357792793919 0.14881727233012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0490506706186584 0.110344139203298 0.00857392883139255 0.0435997677330926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0773013139682682 0.128741003069595 0.0180999984286578 0.0539732991899456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.14003538518436 0.177425871609296 0.0577508970511108 0.0904068351059985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.402689983639264 0.412929778214907 0.529650226038543 0.405854345867216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.674532443254277 0.672388366328136 1.61804463613574 0.956610648724334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax KalogerakisEstimator 0.16436354701892 0.272515648741936 0.161692771271403 0.350780736114729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.165525548284918 0.272422907187498 0.162390569092167 0.350440057707978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.168562284736072 0.272931122008054 0.164310145051479 0.34926896396741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.177886959405842 0.276638276836228 0.170496272724971 0.35149337776734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.234711721776075 0.310785972741706 0.223331556211978 0.388688917768733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.303541681773368 0.360599052963976 0.318648595850915 0.457226557132632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.173018455364906 0.275467130492501 0.166971912909495 0.350324962413814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.19149881661028 0.284826193881049 0.180368573354812 0.358860502061762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.239648962104403 0.315804207476637 0.227846252858967 0.393105146040016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.4801285788098 0.50598598176572 0.7181312754196 0.717596054125692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.748471840022893 0.736361734745086 1.78333941873714 1.28886649201501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax KalogerakisEstimator 0.00750187547889347 0.0194134419613203 0.000192714500409315 0.00107399858291939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0124623633185679 0.0206712111923824 0.000475499000386223 0.00123432289921734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0205065051517386 0.0243130050501424 0.00121051481897127 0.00165151190010953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0378259135467059 0.0356309020601072 0.00408099589388235 0.00323331493896947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.110854947897561 0.0922066757233687 0.0362307734907114 0.019308858963335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.180846654545661 0.155080057155026 0.101177375066448 0.0493342356864944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0273161676268492 0.0340660783644053 0.00225965101025092 0.00291240238368698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0536194627217787 0.0600438025509979 0.0089440481526173 0.00819380294318486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.106850739443098 0.113641226724221 0.0374741190043911 0.0273090040182773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.335310719109875 0.342547312414089 0.435829679351271 0.194970509953374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.613677940231471 0.607576616298321 1.57542582528384 0.524415074650962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax KalogerakisEstimator 0.0320015536300636 0.138658399094941 0.00318925283848872 0.0813328456168526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0345856349446055 0.139381181090949 0.00355134700185281 0.0816879243691422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.042067756094333 0.141504428077462 0.00487472488560267 0.0826711778304531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0638571240843895 0.147823419827133 0.0109606730477141 0.0867845692244041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.170361022178207 0.194147006066859 0.0930105538929415 0.126388641762657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.278519807192296 0.256665354636888 0.263673992426443 0.193812295800417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0553607105804376 0.1476471222668 0.0105221847771254 0.0874330134117243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0935762506666054 0.166237175777538 0.0262464890005909 0.102089097673794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.176802272602518 0.21772075082718 0.0887420877763148 0.157469901804448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.518343819955779 0.478584369334196 0.851999806952843 0.620348772729186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.862047179949284 0.766935337988082 2.63634401080564 1.24930503461454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax KalogerakisEstimator 0.043639629949344 0.147958329271705 0.0230715977683705 0.130160370826889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0460369031691236 0.148599500650414 0.0234586447818254 0.130392194595721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0514111487483049 0.150732207422369 0.024417582030238 0.131279392451581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0662420902584097 0.159091348110047 0.0282885417262977 0.136483428152396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.139853339586251 0.214725922496208 0.0680361733723833 0.184897141402257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.218435006352354 0.285417615381629 0.148297971633264 0.272661169095294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.060767477325502 0.155193303361061 0.0268938022077235 0.133393834543356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.088419803292176 0.17382909852933 0.0370447302369972 0.147013424612016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.149310903311636 0.224111102855514 0.0767640660910403 0.194941491927727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.407107399076433 0.47517010747624 0.523772889086958 0.628941287940237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.67631761738178 0.747827166739958 1.53422994114609 1.39518037341421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax KalogerakisEstimator 0.0641385313517888 0.0742924835339385 0.0183411200073918 0.0228110564580074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0655026774553418 0.0750952721844727 0.018635208439516 0.0230614261131696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0689552964675005 0.077967044569445 0.019597304270495 0.0240062692452395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0791982071556197 0.0877200756059712 0.0232628070113885 0.0278793391890564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.13661713013586 0.147865183844476 0.0604960511852677 0.062508254645862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.202421847508078 0.219037980012025 0.137854674616978 0.123008225051855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.0746390687300912 0.0836644645909951 0.0216396636187326 0.0260870705400079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.0949796145050318 0.103045545952563 0.031065576848034 0.0347686655206152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.144290976894167 0.152481731992301 0.068676252824427 0.0651621300545728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.377141036687109 0.386090982152838 0.540781667103706 0.326784307630856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.641273883417395 0.647359948191248 1.68686357008811 0.808970350637167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax KalogerakisEstimator 0.0756231877618078 0.153121138995871 0.0270114335605894 0.159677661507176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0767150379977962 0.154206266638696 0.0274233912173146 0.160040392107966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.0795671754589354 0.157175180341002 0.0283820485393903 0.161219758702633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.0890152595725128 0.166816383555392 0.0320620885858859 0.166439615963172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.146535758264944 0.223732512096291 0.0681398012319225 0.209182533485512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.214482076638789 0.290513187688802 0.139997416391975 0.282437789734461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.085442426338623 0.162226276595456 0.030580746576337 0.163346061499155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.105539543389726 0.181227795180935 0.0401104781169874 0.174477455081649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.156620711988703 0.228577077648463 0.0766500454412329 0.212478635029645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.394857898180414 0.453314803589348 0.488466447224492 0.531984342963314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.653686674413686 0.704475432995756 1.43128580071482 1.09558879143911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax KalogerakisEstimator 0.133555563611865 0.12340756238589 0.0637627633040438 0.0575825721530195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.134060657249068 0.124162653685598 0.0641080631687423 0.0580264234327803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.135611540481194 0.125910382021891 0.0650933980460114 0.0590297551393789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.141698608306211 0.132166198212725 0.0693125149594858 0.0627800079145719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.191325507304268 0.18135359528377 0.114725070079386 0.0990038147667276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.258574285594727 0.247459159938785 0.206128588609102 0.164183697147488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.139149722413368 0.129064370788587 0.0678152568371194 0.0607381080278082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.154418423856733 0.143514677298832 0.0795773816086987 0.0697769717619517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.200131426008104 0.187029807469272 0.125599108706431 0.103229677596831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.443590896032028 0.421167891863727 0.649559094470003 0.406381955117965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.7176837033214 0.69102655628309 1.85581046237568 0.956230874803205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax KalogerakisEstimator 0.257769119107592 0.321606864645131 0.556198289156566 0.838584187852539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.258327936540968 0.321980506421791 0.55673556222195 0.837941661244916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.261986844634108 0.331580573172583 0.754578601776709 4.30375452441509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.266415075710045 0.32984079100126 0.576598590044295 1.04033874063448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.30983878644775 0.371556077694627 0.642118568690779 1.58733181457207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.366354639607463 0.424359051697762 0.713848904139501 1.36610756902372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.263671073452711 0.329805783087037 0.563918954325101 1.53186406297035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.278047561838771 0.343115433158296 0.647307816336674 2.30759704178659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.315636033009294 0.377152724686983 0.650246020544726 1.55308636008306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.515583160691596 0.57371117868336 1.06053886668421 1.72165082718726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.745087706262539 0.804357971556898 1.93693783010177 2.35240924160064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax KalogerakisEstimator 0.0161991137194365 0.106763960357812 0.00133669109662043 0.0503808743810236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax KalogerakisEstimator 0.0242247065734138 0.106568741976932 0.0021937537054225 0.0500119290469484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax KalogerakisEstimator 0.038091771643231 0.10867622369395 0.00482134653814486 0.0508212809725004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax KalogerakisEstimator 0.069124432090164 0.115973369038702 0.0154056767905579 0.0545227571845514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax KalogerakisEstimator 0.194073699502134 0.168471968053788 0.113818221194476 0.0935023524522558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax KalogerakisEstimator 0.318634393024774 0.240327596306099 0.306134063862606 0.16821528483054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax KalogerakisEstimator 0.054073265216436 0.114954961889813 0.0103062924305388 0.0529178161972647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax KalogerakisEstimator 0.104682959513015 0.133738766168549 0.0369291376485911 0.0642693516877627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax KalogerakisEstimator 0.205346895322583 0.18930347117813 0.130593776272084 0.109965934848969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax KalogerakisEstimator 0.584028346375192 0.468043489970639 1.13313830386993 0.564411630254303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax KalogerakisEstimator 0.948004719831566 0.77872148235584 3.27478075381191 1.38073520139268 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax MeyerEstimator 0.00287932753722287 0.00119152497986725 1.51170786165241E-05 9.01009240974596E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0216516980275936 0.0170772561195334 0.00125432483586464 0.00100407138661201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0423294041197349 0.0341996741594024 0.0052757567003225 0.00373227865499004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0827656476557365 0.0701820257225237 0.0221215765843671 0.0142731950512965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.241360688386677 0.224711359573804 0.232544605074109 0.10949304543768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.404961677165611 0.385094136365372 0.715089305475885 0.282651232824304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0751357672008404 0.0560912505417084 0.0167615856108444 0.00816543288233728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.143006913250107 0.119186126651115 0.069047734510706 0.0311464068881031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.277868196766368 0.251434312995527 0.30356658502413 0.115793555737875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.852647570568534 0.81068136033407 3.29891462659264 0.973585518463734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.44149782153416 1.39273210475259 9.6054467138783 2.66790768143028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax MeyerEstimator 0.00122504064526966 0.00209424431758116 3.99139459727586E-06 2.74193222856459E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0224202260432371 0.0219019509164676 0.00137760752007955 0.001439569517351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0447958610078625 0.0436826825167785 0.00567566215712424 0.00546445384118925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0893219520137127 0.0876143730423481 0.0235566248709754 0.0208020034377221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.264478760168841 0.267274188139352 0.236652807560875 0.164684785501987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.440775387813367 0.446360635999978 0.721775328210761 0.415559457473654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0770382104664677 0.07097187657067 0.0184085583441046 0.0143645600391607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.15176928962121 0.143948455071352 0.0760366810290954 0.0553782651150321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.298014637546196 0.293057120569846 0.324507248043568 0.207826665402311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.892701640680013 0.899662183895847 3.55100145021806 1.62993879801149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.52428836317162 1.52754897688646 10.9145654095311 4.28353487875231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax MeyerEstimator 0.00300184377896784 0.000223581556286855 2.64714241828628E-05 9.67403046475529E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0186022169448159 0.0138982813977321 0.000996155963412328 0.000464818842764952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.037136008223247 0.0274572432510395 0.0041757913180399 0.00175365430832217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0751488292217066 0.0539886138755032 0.0179218801412868 0.00639941431859294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.231448555444383 0.161548569095578 0.18478727351848 0.0482758510669614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.387718396060224 0.281241048671189 0.542409005338873 0.129457137658823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0596121731650743 0.0435510334778019 0.0119359457677422 0.00441921689706852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.120362961661922 0.0868746329120285 0.0510236916848121 0.0162563660641842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.241899768589708 0.177042083916179 0.217683425298898 0.0603438451573928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.717656968970472 0.605828137211647 2.12845910066809 0.568704437619964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.18963338417119 1.08494546724395 6.11414573574522 1.66630972510657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax MeyerEstimator 0.00175097311452661 0.00292007851701611 8.69428094313277E-06 4.95552303451801E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0191314369323151 0.0236248178157978 0.00104981862279377 0.0017687501953169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0380502709674778 0.046848304843255 0.00431031192826681 0.00662903219282628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0759875908913095 0.0932907274933708 0.017849457162744 0.0251373251209274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.230002939618206 0.277340965562803 0.185233870453119 0.195573844723323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.391251737545514 0.45529046291209 0.58917698575445 0.476705868727669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0660829752648639 0.0799909527114637 0.0131018286489464 0.0190617253547449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.132983307003695 0.159091392821798 0.0563938513530775 0.0716620205311184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.269320675624232 0.315357864042208 0.255641978378855 0.256403049181906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.85936952759068 0.928017209453158 3.16024882031265 1.78063636551322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.477307804812 1.55519991105547 9.87292584882129 4.49976708680507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax MeyerEstimator 0.00198243456727627 0.00172680894856314 1.14355010203073E-05 1.63595927502838E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0178978579313787 0.0261975766536376 0.000912196689736768 0.00196939593511472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.03565478109602 0.0521503002902223 0.00380324575227301 0.00755306974585101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0717875509188868 0.103761636444649 0.0163609841091421 0.0287646911534496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.226109053527982 0.300799146060235 0.187623406510552 0.21433752428963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.392776530254327 0.487821817824311 0.616000546330445 0.518865162250247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0564215713088254 0.0854544206979564 0.0100042098603631 0.0198921969117246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.1147017077346 0.169295673036509 0.0440592513905995 0.0731539781511997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.239172763014207 0.330269080765987 0.210562676518562 0.251483207638112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.793586708302319 0.932323225791941 2.75069672563034 1.6445276619199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.38999200651665 1.52964692606044 8.85649640839527 3.96122702676804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax MeyerEstimator 0.00119136859382286 0.00170394476206697 3.38738540540062E-06 1.62604736557906E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0140721648261352 0.0221755449717969 0.000567153458659521 0.00145243178173157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0280455445952124 0.0442700636041262 0.00232824784716414 0.00559304239606767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0561080977493287 0.0886353072820098 0.00967726018422661 0.0216055715353251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.173509048110949 0.262804876495494 0.103125298089852 0.169021479633694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.301342710165027 0.429039525145223 0.343877815943425 0.406617426677066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0459941589529139 0.0714542065500104 0.00624192852993035 0.0166039778010871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.093741475775322 0.140787219265909 0.0275299449581361 0.0613005472486866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.196198985049048 0.272261080612591 0.135937594000651 0.205589076577562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.658824170355083 0.753177085093689 1.90198360292649 1.22841163099406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.15735836701453 1.22999921266637 6.15903369266172 2.84167472172923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax MeyerEstimator 0.0010531621335489 0.00140752530803176 2.32979043408927E-06 9.51082868143575E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0248468575079299 0.0150402009479641 0.00169765731699773 0.000649386553310083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0495612650424945 0.0300641668981286 0.00692522609885703 0.00247875720950357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0986280836373914 0.0607677369913676 0.0282157117323981 0.00957454887001521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.283635847885627 0.196091509759463 0.257558923845943 0.0873391527491885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.458592815432641 0.34337679265581 0.731894514487494 0.249844407708989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.076955248431355 0.0485844561021544 0.0173486966330704 0.00637974654727711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.152332874862506 0.098796415631285 0.0708892565738442 0.0246115078509101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.295916142433097 0.20532009473277 0.290207762701834 0.095971543155633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.83117977943067 0.685809904452125 2.81302744571239 0.86513296360498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.35659020720317 1.2174547010403 8.11504982187294 2.3983495702842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax MeyerEstimator 0.00167035482976441 0.00102548265366573 6.02248744307459E-06 5.33164054049488E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0210624229209442 0.015946009050533 0.00126867616468907 0.000714777986149766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.041898350984312 0.0318356884489978 0.00518907833159697 0.00276585755168677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0833969593396788 0.0638944543256676 0.0211643587564788 0.0107721267058638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.245442404259305 0.197577074523131 0.199546245776409 0.0936599091307036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.401283207942057 0.339449300955112 0.573852961813664 0.255823644011591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0711718106619735 0.0559743144184603 0.0148062088255264 0.00846683682398413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.142453722562729 0.11155689162641 0.0620962431886719 0.0317728863083027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.283044674361303 0.223962214179649 0.263993923762589 0.116242397121946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.827007178233219 0.714274262466393 2.71800519710812 0.909976980095247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.37811126716193 1.2504603582591 8.15025161816417 2.43753512072123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax MeyerEstimator 0.00173391369823511 0.00315710115029475 8.38360633391112E-06 5.87717941076627E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0216657032153239 0.0232317780494038 0.00125776481852328 0.00170227881672064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.043064221587856 0.046055001037161 0.00514254945605225 0.00636782358838375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0858094793308229 0.0917217338203198 0.021216674357636 0.0241720567040475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.253254366251893 0.280369218232527 0.207071614967725 0.197834090015544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.421021369500055 0.471485129044456 0.629961054970362 0.501892820912916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0656547679275218 0.0769703067279852 0.0133698091833611 0.0176783879393018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.130726654331892 0.154331763865513 0.055911671161263 0.067277773576912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.26174684028987 0.308889980703044 0.246217016204729 0.244748829127661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.82207295053881 0.910328673003861 2.97513553386017 1.66515598633186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.41218433647245 1.51930948667998 9.27222447546992 4.13155625069242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax MeyerEstimator 0.00166327846658591 5.36305673029587E-05 5.1514679161685E-06 4.18925696372422E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0193317241028839 0.0183319902877123 0.00102712943046047 0.000827106180830678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0389002370660012 0.0363711838286286 0.0043857404456461 0.00313965013140053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0789913772831018 0.0716783926380367 0.0192983109667329 0.0115308671814426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.240593029636635 0.213510007536543 0.207225771588137 0.0915775063837489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.402329397471881 0.361022525203885 0.627240257629521 0.246355067822307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0652724230682961 0.0550723673653499 0.0137629627923429 0.00710975581156845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.130759300151151 0.110324924613169 0.0590285173953044 0.0271994677978495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.260581939778625 0.2250599409981 0.258110213005417 0.108448062179784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.778188371677699 0.732094199291255 2.71495563424061 1.01651182303039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.30001571537935 1.27819222995983 7.99513310671741 2.86896543272039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax MeyerEstimator 0.00114331354755551 0.00046579217181426 2.19967633198047E-06 1.2134426001988E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0192627816250164 0.0103803042045509 0.000906333788484728 0.00029728079335495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0384691024314709 0.0207356470367426 0.00379268147334839 0.00112120948167272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.076189311830085 0.0423332319584915 0.0157850504284625 0.00423876219770801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.215973479833047 0.145586061048118 0.151517502094946 0.0370554942349056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.350416637321294 0.268479833690885 0.440607616668107 0.106829049546147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.06081983045908 0.0344380621794656 0.0103882490711149 0.0032265511703769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.118674738367149 0.0744926648633816 0.0428856009140845 0.0130984227695913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.228746909289316 0.166961428699284 0.179360869872619 0.0538011741065525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.663472855641471 0.606946235763579 1.79485950250464 0.519599404894095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.11379781930576 1.07232880386744 5.24935432356199 1.48324186383294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax MeyerEstimator 0.0014979286389228 0.00153494107852217 5.5713475602162E-06 1.37230785297528E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0178082126702882 0.0175003761295146 0.000845780443985305 0.000918438760033558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.035534285880803 0.0348512963000515 0.00347790791594828 0.00351320967571721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0710372573155188 0.0696263594761669 0.0143485737583333 0.0135363444134866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.211501231858279 0.21076762752239 0.139143571211588 0.110352971981645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.350811913661413 0.35398787718736 0.412793856034472 0.280403617916229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0583394501639114 0.0584178359039627 0.00983657361528168 0.0101567052310633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.116111084019799 0.117431310069445 0.0408049749580736 0.039022840643246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.230975297533734 0.237722280141165 0.174335216159506 0.145148513919446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.703644337369005 0.72167370982619 1.96399784762682 1.01042593230043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.19386671934358 1.22452768914313 6.08638284857597 2.52668643449656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax MeyerEstimator 0.00441287501186942 0.000664624720087219 5.39506827967921E-05 7.7467893043302E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0151821981490469 0.0222781979736177 0.00064700890884516 0.0012020513028434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0301151746534621 0.0438480025173089 0.00273195209753988 0.00453185360709877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0622173547970569 0.0854286235447024 0.0125592860717009 0.016444695987713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.204149397195692 0.243519243511309 0.151356701487955 0.116535095165554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.357078959833516 0.397427279826724 0.487797678737478 0.280499557013627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0436818643775349 0.074120278947882 0.00585025752696378 0.0127878390249208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.0924388036652031 0.144091534798541 0.0285038552361838 0.0455028649102542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.198319395712138 0.278874288356039 0.142849007407323 0.155214796013549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.673438107473677 0.806994170257723 1.86273986163258 1.01997293114797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.19672467425337 1.34486473712185 6.07912258300226 2.51691255350027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax MeyerEstimator 0.00171753886165465 0.00269599838601153 6.62869150303715E-06 4.06824798322322E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0215524641199991 0.0185013560924461 0.00124305697451584 0.00112351249632749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0430080194611133 0.0366935003385739 0.00509658991358009 0.00423298161521007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0859612914668497 0.0733543146795005 0.0209302018258595 0.0162744631833941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.254631648613987 0.224159025968939 0.198149752333203 0.133716895022807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.416762579954435 0.383345433547767 0.572032620165047 0.342645020829345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0707275833386181 0.0543160751726268 0.0141514868020109 0.00838617686330433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.140415903369391 0.109365373548414 0.0576490505410148 0.032062739568064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.273700730507922 0.227256274085186 0.234181649154387 0.123998661597232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.789303101363469 0.74971446349641 2.38794869726617 1.01859231842172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.33042987748722 1.30217477081055 7.40528348205701 2.67782734566842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax MeyerEstimator 0.00230129865759513 0.00120951825627012 1.42690091043695E-05 7.38564955141251E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0160572547950296 0.0195429119740916 0.000710556997212552 0.00102056013673805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0317905803296762 0.0390319811776 0.00290097107569118 0.00395636062780595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0634864350021914 0.07794478142706 0.012015875071967 0.0153308940152397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.193364896883977 0.231036277112031 0.121525897609575 0.123498334797689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.330472200307232 0.377836342556021 0.378016852689411 0.303050354722706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0507378338596317 0.0660487175198231 0.0078375159628985 0.0114890587871779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.101951249136154 0.131577637145505 0.0333139739469578 0.0436934700784722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.209506203892987 0.258239481557991 0.150795925763572 0.153432303225331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.680893806396397 0.74969683136158 1.85574004672996 1.01715538583679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.18473063581935 1.25235984883082 5.94635366858436 2.51675203219271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax MeyerEstimator 0.000926540871655063 0.00129943283399332 1.93350400356544E-06 8.92352889733615E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.018160133711149 0.0156516460290134 0.000880791016920459 0.000754706933601659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0363215190294067 0.0311249481602338 0.00360814222924455 0.00290038813069264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0725880943270889 0.0624520113359301 0.0148074912304893 0.0112796258706305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.216569121471874 0.18872698200297 0.142970344481332 0.0902010075714761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.357216720298238 0.319823601030595 0.420174611870171 0.227654556385201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0624188313545397 0.0527908541759429 0.0111071078258513 0.00816638048224305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.124103326067555 0.106172223968759 0.0455786802888056 0.0312862520964635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.243255442869183 0.217404180552389 0.187631110641069 0.117081605781982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.706350414466723 0.693375019721185 1.93935124753522 0.904025856943322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.19202449626987 1.20084413282339 5.94529075238883 2.36087115540504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax MeyerEstimator 0.00077311401811651 0.00102932280245779 1.08923641759055E-06 5.44038302530941E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0167216491816014 0.0158134795544766 0.000733230633391376 0.000718871340530623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0333977494654136 0.0316007129634107 0.00300252464860955 0.00277516217020559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0667221346410853 0.0632123036306941 0.0123742309932768 0.0106953284301696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.199649460778461 0.190831207108805 0.122188911605843 0.0865116063237857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.333913463453288 0.320785002959185 0.368964071691127 0.219609028480756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0577343290447391 0.0519583207430992 0.00914550895188144 0.00722345348695159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.115499014589202 0.104301727583948 0.0380302289640877 0.0276390025307385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.23019425860876 0.21113164061417 0.161849971325145 0.102590954006941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.691713761102224 0.655689099372266 1.74370238760896 0.744316295228213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.17266628273165 1.13204400860183 5.40773267287711 1.89972370537602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax MeyerEstimator 0.00143064264021876 0.00111356060111162 4.41130161999662E-06 5.87881303366882E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.015793732169412 0.018963705831292 0.000687507035289759 0.000981983894589947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0315451467878791 0.0377969962809723 0.00282740395508862 0.00380494690541109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0631386466030961 0.0753667285411896 0.0116750960072878 0.0147232155117973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.191928209161761 0.22346097533476 0.115998383334754 0.117187305688342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.324952770223565 0.367771308849566 0.353254675175039 0.287074859834803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.056427855245044 0.0578985546733727 0.00942950007551231 0.00877625821569367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.112868724031508 0.115582212992111 0.0391422611506375 0.0336070813233153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.227865147467275 0.230087970743009 0.168629458949511 0.122770333091482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.710311134116163 0.696678372463236 1.90186006330721 0.871322805276297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.20940266627272 1.19256318878293 5.91377862117099 2.23353373346869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax MeyerEstimator 0.00201874533576891 0.00247969977298471 1.07633135303683E-05 3.29719181080258E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.019674210727809 0.0188266176939956 0.00103353539730597 0.00104973064802703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0390864075048905 0.0372508844046741 0.00422945223012791 0.00393402463027734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0779754602284665 0.0742301665217221 0.017387627072562 0.0150241379610776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.231940942387475 0.224503887408924 0.167467412379728 0.122705647755183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.384793326109064 0.377454851850756 0.495949844477963 0.311887549234809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0576070351619173 0.0555003818182279 0.00952567988031567 0.0089758427408201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.115154361406628 0.111444448758318 0.0395693805890708 0.0345876232308968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.229332724399971 0.224390699763732 0.16686890049092 0.128073249993771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.694961185577652 0.69112689841259 1.84441660069906 0.914055337119356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.19894828798007 1.183379050845 5.9393812887639 2.33162714389364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax MeyerEstimator 0.00202986412049808 8.26240473910792E-05 9.23314440853896E-06 9.62189951526023E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0196675103394885 0.014664478181272 0.000995216526937791 0.000517119494306622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0392590548528747 0.0292133893116747 0.00418734906242384 0.00198093934269812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0788526806125333 0.0581193051635792 0.0179789346354349 0.00741456332292857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.237470056587245 0.175397895559484 0.185731903226412 0.0588108477075502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.391076745189786 0.301854572078872 0.545366119017894 0.157561802372566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0621597956316749 0.0450874748297873 0.0111633147638936 0.00464990787272975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.124365023669781 0.0905635686451477 0.0481957839579377 0.0174312024887578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.247724192150983 0.186198210176135 0.210331723203763 0.0660409934734888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.723440707634678 0.635827952478257 2.13236135982429 0.601524046524227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.20011550176207 1.13796775132001 6.22503883051712 1.73870024065928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax MeyerEstimator 0.0440804183508523 0.0167328070452252 0.00557039949172255 0.00103570979011339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0507543215374444 0.0202814283763241 0.00729276730947553 0.00135633497939423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0676043267431778 0.0295863976957806 0.0127734426091388 0.00258012074918199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.110288649995473 0.0548970974222423 0.0355947377673894 0.00773971278280665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.281708368354724 0.200773370371343 0.287858973245839 0.0733251804162746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.454077068761548 0.372493429185879 0.824167101564066 0.219882013321519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0919918767971775 0.0441596925591567 0.0247935926595401 0.00549060259572382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.160322617718467 0.0921188873041252 0.0828485040922274 0.0195074165619307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.295356058890458 0.211595448358101 0.324750998373388 0.0828585874325207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.84372240245764 0.775258953051496 3.16729367317517 0.872605384288594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.40617520888117 1.36340970438697 9.0512770289026 2.5929059669373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax MeyerEstimator 0.0427513802807845 0.0771154619867746 0.00602753847048492 0.0202108692197259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.048652410154564 0.0805145384693531 0.00762310907055532 0.021795029416446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0622699295222947 0.0900177197887458 0.0122102004426221 0.0262982390139081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0988393722034694 0.120700330153569 0.0308146038126381 0.0436300489241033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.263952869935168 0.289208110036945 0.241964128816128 0.208757673542899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.436901858500275 0.472351065662266 0.722806110501845 0.49329103151694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0861244199374475 0.108580750363502 0.0231808566700686 0.0357566820920521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.152709030124197 0.165740507191682 0.0746686263038765 0.0762484023735829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.28758649757047 0.30066747987582 0.289108411051113 0.223572959719501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.853241822878579 0.893068462332001 3.11979902075543 1.52166816656578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.45915903234407 1.519999313522 9.70026597692662 3.93290988285977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax MeyerEstimator 0.0628301736669367 0.0673654320129713 0.0131937293874639 0.0124427369295827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0654231675367545 0.0748214372962235 0.0145690866121278 0.0149554407936187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0730314810130611 0.0899317325551355 0.0185588671947321 0.0206323991575424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0967871562914759 0.128258518485494 0.0349133303623544 0.0392483434480437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.246345957829203 0.30440289215863 0.249289362318405 0.18662747243215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.422073273413064 0.485849404150619 0.755616750803671 0.431139068109545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0902929662116984 0.115092490775172 0.0306308952396424 0.032120080900405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.147672506611185 0.187643052343327 0.0863642122003043 0.0813408653294715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.288255373786503 0.341416580890713 0.344388097129068 0.247535993548312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.932775082790711 0.985248689112776 3.83962652836973 1.63919329583824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.60961987170502 1.66288344208541 11.5670950966286 4.20494154812772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax MeyerEstimator 0.0898207196629549 0.0564329476331877 0.0253725487463093 0.0127173291126573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0930227335611322 0.0604881840974686 0.0271142015099465 0.0140359424954732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.103631501535099 0.0707938671854561 0.0330201667538931 0.0178609643657187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.137019117088435 0.100515508715268 0.0571720193701449 0.0323508119359908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.317187051573817 0.258216307699575 0.333116265050341 0.16968987897645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.505388807611362 0.435753778857468 0.931351073507867 0.419957574068784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.133078020852029 0.0900049205471272 0.0542636938144111 0.0257375402929561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.201227262678884 0.15025228782899 0.127815700683096 0.0640622772718736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.348732662718 0.286938143399447 0.420650607704603 0.211157282411496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.978680838378857 0.894962852291653 4.03334877744803 1.60950110005248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.64600776303027 1.54552523703313 12.1618223869142 4.22444551661583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax MeyerEstimator 0.0538790176358497 0.0835860981421143 0.010662624232109 0.0219531356902228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0582393565510957 0.0859147645993969 0.0121787728467458 0.023173454379104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0683524130399663 0.0954713238097767 0.0162012943983964 0.0279342279888427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0979335082715443 0.128495716396121 0.0321609546605121 0.0474301247613252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.256552315458727 0.299989064228748 0.232389855634077 0.220791423160952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.436380522268308 0.477682960597812 0.717031634357034 0.504895832233189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.085428259359075 0.122769340516264 0.0236545584703897 0.0429629308143282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.142878203977147 0.192834669437701 0.0694987508268154 0.0988372829199268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.277505320039706 0.346556614160278 0.288007409340402 0.290023531364076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.899280057176459 0.969983551042891 3.61093571468695 1.82198946552566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.56106049622521 1.62403519600345 11.3748753291686 4.59270063744292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax MeyerEstimator 0.0581736446870509 0.0431450133385257 0.0108740584332996 0.0067536812526301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0632628784849725 0.046916362939762 0.0122149713835002 0.00797379999458245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0751057768737412 0.0580593048978142 0.0167219586528639 0.0112604465462026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.109155019822974 0.0891300810283777 0.0355645550650644 0.0233116981184623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.277143316904056 0.245700430151027 0.253495272777514 0.142797587618104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.448979427809684 0.418653929462011 0.731357336595017 0.368200750427659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.094406825101824 0.0760838509806592 0.0287053193243254 0.0178056196005173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.157333514514233 0.128735500521107 0.0808680077987753 0.0478113654785083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.29250252559254 0.248139592115812 0.298939031428157 0.156782056159081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.837964339119224 0.786669332306839 3.00902115162377 1.16347846705365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.40935611178425 1.36805214656826 9.08858607189189 3.05610715429831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax MeyerEstimator 0.0416883195059871 0.0595323821113667 0.00607215269925624 0.0117226265147693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0461770616458718 0.0640986238875074 0.00719075044816405 0.0132457059581475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0587524302108427 0.0745703351971893 0.0110321985310381 0.0170580637998506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0920651224293333 0.103629413201417 0.0269792855994669 0.0307203703406153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.247146108816347 0.254452436610297 0.215556812078846 0.151827187398531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.413898792037931 0.415364270596634 0.651553869937815 0.356855325260383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0826747212825438 0.0894504878193382 0.020720553014468 0.0238868362887273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.144956823131296 0.142734228276048 0.0663403808819141 0.0550963038139505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.274698994126948 0.266381441708661 0.264821083076161 0.164741744267179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.835787254783777 0.830024848490399 2.96955068634948 1.18035177611679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.45088713526713 1.44601987353611 9.48772192950513 3.20173934443762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax MeyerEstimator 0.0529087606467901 0.0660412312340771 0.00947412640744203 0.0137013756901062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0564599976015361 0.0723879749443378 0.0105087777125293 0.0161221987555417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0653884063275993 0.0845881778271372 0.0138507159936182 0.0212170970824579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0931510074646588 0.117743610546972 0.0280688113923192 0.0387352543611208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.237222697986975 0.279923967127242 0.200586269594892 0.187181727537767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.397619411379676 0.448473026906419 0.605666671636994 0.429189284551593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0802421053717878 0.101717087455212 0.021348452762594 0.030066827205801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.13341362890275 0.163921929748733 0.0600372506955447 0.0733207043665148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.255333130852515 0.298831059806037 0.238168798753464 0.217418972364174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.805547995174987 0.859820932160705 2.73787268405062 1.42019308828049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.39422837596262 1.44391967012551 8.54456627910648 3.55151468410269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax MeyerEstimator 0.0612106336775192 0.0781044627713442 0.0131686040082626 0.0213916084634621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0684391977277968 0.0799263442642168 0.0160980150763578 0.0215994768280755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.082834990733517 0.0887594440191233 0.0227477883998703 0.0249878991022154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.119243877780726 0.117695854102174 0.0467926858555313 0.0403971399875969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.292414927073702 0.288076127664483 0.307496986907743 0.208350304510684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.471692111523683 0.477641783209673 0.872323686354476 0.511143149997693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.100455565001653 0.119595357809851 0.0318859933412985 0.0449358414067652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.168522104515629 0.191372383923452 0.0922350692954464 0.107339374588194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.316513583092066 0.349644582139172 0.363207223606281 0.32344442136188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.956540366943635 1.00748924288299 4.09773765260223 2.11050136268179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.64112733693066 1.68834748266068 12.6622610907939 5.19046267276392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax MeyerEstimator 0.0483627302118823 0.0300132163876217 0.00714211597746099 0.00234001953858673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0529490137737059 0.0342154091834996 0.00839239799127309 0.0029550272726465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0648985502705605 0.0442762409888022 0.0126365700530705 0.00486485348848385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.100108010109253 0.0712319654376947 0.0310687788852589 0.0121389467366348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.270633671394447 0.198842168112238 0.256810090649366 0.0826976089991164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.442397486285478 0.344209459632706 0.741747946003485 0.222636240961294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0922496603645424 0.068526853309253 0.0270983575732846 0.0115518023198238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.167989826810282 0.125271001950572 0.0970164365555923 0.0368575179846626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.325604111834196 0.251678569756983 0.402476136024599 0.136582387961403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.95341011532107 0.842662091012706 4.00753547253959 1.2349545845995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.59440484403427 1.49061522730346 11.6303215626643 3.48575238482867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax MeyerEstimator 0.187109175644736 0.036294268016121 0.17190888665881 0.00405797306780281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.208351063556963 0.0510950794259999 0.265205376506966 0.00896025061205561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.247589452858761 0.0823721090570357 0.471016755763678 0.0319840758755365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.348275019823442 0.167371373882652 1.1922493072406 0.182839316732374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.822845412957277 0.605743413727388 8.94967340649016 2.95122590079317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.32460878501261 1.0760216516853 25.0747903983658 8.48248179001203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.357048028061423 0.163373982512038 2.98760774207555 0.291536563878113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.587026678225642 0.355115169114648 10.4528791536413 1.21642809030007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.04416750599336 0.77341050031224 30.847729918155 4.54254656701607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.5549674180556 2.38147136478285 70.9995137812634 26.1982300148145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.74285846435241 3.66961428877782 91.667767917293 45.4749071788563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax MeyerEstimator 0.148695512864236 0.153823162528522 0.072943288107298 0.166993835453115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.180233992339603 0.176736558320218 0.248609869876356 0.156759778385896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.245439959427976 0.221717365897765 0.88926566614611 0.29437124951158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.387778652094297 0.336297485176619 3.33965802221877 0.818369121301496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.95271949176979 0.863507508974659 17.0630614707926 5.64042478203389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.49550171313016 1.38190677398873 30.4363592238017 12.1453227157148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.30284922465141 0.366194857454363 1.90644449914906 2.00576735298515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.519218665778601 0.646233831272381 5.98658944681147 6.45916253879948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.00208887918274 1.24089149357276 16.9702307245276 21.5673291910441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.69075100124633 3.28023926198822 54.9521081187385 91.4090292391664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.03658808835007 4.66703932787167 99.3985615200496 125.477003895936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax MeyerEstimator 0.194903028506157 0.106945242064745 0.242097001674442 0.0371327823390584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.214443985274784 0.123479029200004 0.285112358925778 0.0479521498854242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.246631043194658 0.154461882901702 0.419279084851276 0.0800256685543335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.340960074731956 0.234323231505729 0.978235027182353 0.21138330957371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.858294525629227 0.68456684353354 9.14011421000636 5.12682971148137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.37536432623987 1.09998099052153 24.5524436381414 8.26011647781331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.28113424732911 0.211535162566735 0.544319059006996 0.313218608232426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.43529033034548 0.372215733224979 1.47309481321531 1.16762453575519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.794050218879101 0.734966263485842 5.32304155788788 4.1952487805702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.24824805426591 2.28675279598141 39.3498472977912 25.1028163430326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.43636632217004 3.906319716527 75.149312432462 59.6342909370353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax MeyerEstimator 0.171093681957777 0.158559197858763 0.0983106379566172 0.10515266492137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.193186885808668 0.182434773999622 0.170691989523045 0.143770534028978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.244747884861486 0.222388787966299 0.382593445235141 0.258323138486097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.38985188608646 0.351747666305975 1.69166547695659 1.42781564993895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.933052975302542 0.862883630224788 9.21501515526916 4.89374898564826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.51936480202627 1.40093302376525 21.7235623114324 11.8828375001908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.363864566857339 0.338667604399509 1.28164955578483 1.07939329816531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.623429481935534 0.589006299786469 5.19479330614043 3.5819773131872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.14824699595035 1.07248017665397 19.3726482589005 10.0411318720959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.04812251181702 2.8556899027633 99.5823748669137 42.2450010622831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.37617126959275 4.12426292639421 144.349961658284 59.9251213880674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax MeyerEstimator 0.160670121091531 0.158049951634414 0.0947659479183324 0.0950009274869287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.172858386258426 0.172417434362053 0.121888802356549 0.109129612871786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.205772380860845 0.209185471619047 0.205753328520188 0.167401761086808 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.298696499318095 0.301946329858347 0.545183232205658 0.446150693738998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.798301719194131 0.783990058950472 5.01552580144383 6.6587495150051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.40324531856707 1.3140671423205 24.9095490824743 22.2185707282637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.265211972978138 0.293160441342334 0.458425963842658 0.796858980111807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.428815746997054 0.483022954195192 1.37113334993057 2.56735162812503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.787007717570544 0.881056755618827 4.83226504835945 6.89307212136444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.25344930354038 2.40462440743043 37.0146379078378 25.3284141166448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.48621649880803 3.75077091746081 77.0335202635573 44.3499962042292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax MeyerEstimator 0.14165985021111 0.128149786253088 0.065537034784041 0.0646075553140919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.169440212000088 0.251687370017348 0.180417252983042 7.64113349996621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.212376710068347 0.365394661688108 0.424488658747729 22.0990312041271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.312113578189045 0.547692859032399 1.03510035910576 45.5331196449464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.72693233376003 1.08950071757023 4.36949275350641 62.727586074762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.14993178815934 1.40711177038644 10.7012518136366 23.9249578357885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.625220734525239 0.271887439383417 108.269600807427 0.727717505617689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.889270150273435 0.518288246518087 158.663036595353 5.44622207945337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.37884235528995 0.931833134565237 217.980760431755 10.936117426371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.48844244366799 2.80667762078294 61.8184910627414 105.444776078681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.69827865942066 3.90222359137402 106.095062946043 83.6156415546642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax MeyerEstimator 0.122129851422694 0.13983908081099 0.0468588755437968 0.080539365500546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.145170675270199 0.170837459069361 0.103459381472986 0.220834822572769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.176838825371061 0.22015985348127 0.268559625570838 0.517344912994528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.259389061244963 0.332250778142949 0.845022285859032 1.50853146345482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.675556978710783 0.856500420799231 5.24250282718495 10.1481487514544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.12288889411911 1.37726095694648 12.3672032070163 21.4011690899461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.216349518011848 0.271432388103504 0.237049183607702 0.775944617913673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.359995778374321 0.442203168066684 0.845381476796647 2.3508726208122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.6853896371854 0.79767089329385 3.5279759338414 7.19216700219521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.11193652160819 2.21217774964299 38.2409088045038 32.9932030274912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.40862561707313 3.55193710630287 84.0996254223983 63.991154628848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax MeyerEstimator 0.145688008365005 0.15048012932798 0.096885214392994 0.0819410010966789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.164731121015886 0.164496393731416 0.190790735316564 0.0940190796051918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.203348638115435 0.197451605829929 0.482413200005728 0.147067418860293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.300470622456945 0.292852168558278 1.44176811955982 0.598016351665997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.702745696568951 0.718160938951101 5.11137047988875 5.75262668458125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.10439869544531 1.18180000060305 10.2447495443782 14.9705519117897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.317638058223791 0.341047376407511 1.53886010987896 2.88517000913231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.538059370734333 0.544640877846042 5.30967257920031 6.89851351690456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.986164342264432 0.952847338437116 16.6328247721989 15.3120508072855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.5434343106211 2.45300628605241 59.9839613631444 46.2171463355513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.81139541458245 3.76031340390553 105.783270927918 69.9852150610773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax MeyerEstimator 0.153681671470005 0.171977323074443 0.0758063477921095 0.109410357394798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.171233276991957 0.184648193106594 0.122369046282077 0.127938339717895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.207251980293263 0.214797380404851 0.265303355952858 0.173476996306847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.310586360640711 0.297570749538363 0.864726741640849 0.353478886752239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.774013373181832 0.718097070023561 6.54382036961242 2.2901329999501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.27326416300782 1.1892240062873 17.242810027402 6.17792999318443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.271875350983682 0.263540548156156 0.455036951716632 0.246987516942072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.462795388290344 0.429410236723412 1.82539809068248 0.743313865331512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.882979215637883 0.800499699563922 7.81545068034588 2.96642698832113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.62076286736684 2.33477110685859 59.9190128513202 19.6274657874882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.0911778486717 3.77274549401174 128.164632414784 61.5967274673973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax MeyerEstimator 0.148954315532978 0.0647198685930981 0.101205878739346 0.0139307006805867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.189040299083715 0.0965274588450784 0.279476305270838 0.100973423495355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.246668216535997 0.150113424273368 0.663810087062075 0.379156640485636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.37953685369381 0.278459855959416 1.99931718880457 1.41240179084261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.96908132163134 0.851073373641358 14.5310239372764 9.25476992330776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.59023251824461 1.43865585441846 41.5502210895839 19.4020536403445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.313999124402377 0.233951443492848 0.816346665078891 1.79234517810148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.538655680868838 0.461796273465746 3.00243738412388 7.60907693749864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.01319237491651 0.835580157334314 12.9844378962527 11.9539155634594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.6371862286785 2.55760732048286 88.7508024292634 49.2673520641535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.62808533096751 4.08687933437533 94.0602187962005 133.074439745205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax MeyerEstimator 0.000142177867263957 6.31662554025342E-05 2.82036518139442E-08 2.44278129341033E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0788315579479745 0.0874898283910131 0.0202247308309413 0.0182941050287755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.158303050829881 0.178108709108006 0.0923981700610127 0.0650040103136278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.329804909839803 0.359793675591523 0.451676016713654 0.220953724423144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.07995832332641 1.11957690429377 5.27422081261058 1.70384721561123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.85291277268355 1.8988576661364 15.7076492549213 4.58919840547334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.265777003551375 0.288182933062068 0.293196321569779 0.154010843821422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.563057042050959 0.589167253858428 1.4182308431604 0.547310122186982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.18727222050598 1.2150291225597 6.5024887682641 2.05575421237179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.73944656423908 3.77385853793166 65.2141561434141 17.8276558288525 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.28715173153328 6.34183947214068 184.298147954831 49.1018313762475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax MeyerEstimator 7.11262280582749E-05 0.000122008954786972 1.0777326174055E-08 8.42738808073081E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.096796065463665 0.10128342702848 0.0278164225104673 0.0266703313265904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.192993707657466 0.203374266386813 0.118909867187526 0.101210448280131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.385623385066871 0.408638356207939 0.531114594861065 0.369053070482736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.19021345901232 1.23319363750101 6.17992655485672 2.72246957783178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.04134210945279 2.08297285548091 19.2765516544007 7.09372884176567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.304853869742559 0.323458533681581 0.327024763314167 0.245996385627343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.61314660872739 0.649246770638611 1.50618992712173 0.880822587292489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.25653018886509 1.30895649906181 7.10672627405601 3.14400969995159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.03200714466768 4.09016404119855 79.0489756592832 25.6938471895157 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.88354708886257 6.93912548907316 231.76764723224 69.4316891517191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax MeyerEstimator 0.00017843322880374 1.06777122195487E-05 6.27358733315216E-08 2.61842454873806E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0892634429526176 0.0551307183373918 0.02328177160639 0.00693531649503026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.178848648714435 0.110796320716935 0.0977142500900595 0.0258060566549978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.35532787430794 0.228813602245102 0.412949362586103 0.0966901445807246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.01980695926471 0.804740265056848 3.98865458444443 0.92647401181561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.68071238704294 1.45692483201455 11.6021454264321 2.78372398990415 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.287253846155126 0.182717020019086 0.270601863545577 0.0662392614518088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.56448031964232 0.392216107725654 1.13404943050161 0.262797857040188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.09750461466198 0.884679289662146 4.75130658062603 1.15241102952079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.29855986759485 3.08926885074796 47.4197897243918 12.1089538183668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.545693501537 5.34832822727113 136.100316407499 34.987455450967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax MeyerEstimator 0.000109507154313296 0.000188154712042621 2.71628010497756E-08 1.83966895170176E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0745888071558847 0.0908784327252748 0.0157692129918768 0.0220379481233835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.149262783751676 0.181849629630696 0.0661448179173912 0.0850064960201872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.300047025006181 0.363399155038159 0.290861689061214 0.316363765084268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.94459508793593 1.07257978691105 3.54924516901433 2.22024898754273 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.64454933856316 1.78383094967477 11.6625824542767 5.45114801779142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.240148720708073 0.287704614066358 0.184265866909185 0.211084292205294 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.487755967978528 0.571782799926202 0.852474314100524 0.757099277002797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.01562528651864 1.13120280723142 4.22837558912523 2.57878925635378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.37960251704552 3.45885171435987 52.4950657667178 19.3066761901842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.84831921926219 5.88117046605251 159.482015630793 51.3146078608064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax MeyerEstimator 0.000123813480952329 0.000109000334839665 3.4034842610324E-08 6.01880712152775E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0695387135361203 0.107964789147991 0.0145169608111102 0.029458248303921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.141219943164419 0.213987881736241 0.0637734195474455 0.110794176879355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.294745496980424 0.416939107290089 0.30674097170146 0.387521580969829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.988839958336569 1.1763240091592 4.14800845226767 2.53181794913092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.74748927716218 1.93710313886667 13.7248910036072 6.2062447202955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.23474327340223 0.348804837384233 0.190626885815842 0.284790174034547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.501653262251902 0.670818247558611 0.976625905045838 0.947793362311958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.09177568194864 1.28826855836923 5.14002345022315 3.06787485786758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.71370872183484 3.86936250443187 64.0873408357433 22.5008890727581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.42160740317602 6.54200989190723 193.003267389253 59.5191003733722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax MeyerEstimator 6.05742330856546E-05 7.39903213325445E-05 8.1957066360116E-09 2.91768699275317E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.060518090221564 0.0797774016290162 0.010296947510455 0.0180351712217767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.121476795578899 0.159313801147468 0.0433834097186014 0.0692822296316942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.246386621120455 0.316846024361513 0.194223012280641 0.251802197349367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.805329125369877 0.926156342337568 2.58383440649748 1.63514029780384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.42616458050713 1.54926852260118 8.71055207250182 3.98832867420659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.194262501578821 0.255883506086178 0.118992300000307 0.177655335858142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.403481934544726 0.502856676142372 0.584150040555015 0.600836899762559 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.867714592349966 0.990895865059792 3.10968180742482 1.9320354507474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.95044449495994 3.05786369696075 39.7022423411113 14.2762258987539 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.10134974317303 5.19346799497155 120.127248796375 38.1058836163259 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax MeyerEstimator 5.79138095222931E-05 7.62150910694575E-05 5.6367718521335E-09 2.92431789785024E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.103519440312937 0.0677812100571277 0.0306365211504388 0.0111931870751908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.20499930405358 0.138001261572241 0.12596800272076 0.0432836753737206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.399941149598113 0.288225042960874 0.523655599595209 0.170417970424052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.13882261606077 0.969375057606405 5.23045208330479 1.55942165990397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.88930094241084 1.71932828578481 15.527400169877 4.4370824218184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.326923100785954 0.228229881841697 0.345960976256003 0.115938756432084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.632559442716264 0.486478223293192 1.45734409669725 0.468573237646537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.22995518122545 1.05942492204985 6.28100856950194 1.92108436622669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.74236571439895 3.59292733053474 64.884030253195 18.1844012313288 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.33018579920085 6.18543760580167 188.105523734975 50.901065685545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax MeyerEstimator 0.000106111998426182 6.44458520402798E-05 1.63731298525775E-08 2.06964244605665E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0992666886825344 0.0695289965852909 0.0274441349515484 0.0121442805278553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.198088326831167 0.139720978489241 0.113823003845856 0.0465604464698681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.39203561400284 0.284845743993454 0.479429248953474 0.177210906505518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.1250968237072 0.938947152108972 4.83267117852717 1.53255102272232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.85760828776217 1.66788825080206 14.4248512927524 4.30232675407842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.314043287293523 0.232834611071613 0.302314285499985 0.12331179618948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.614974265027635 0.484147883750666 1.28811895871926 0.473048000675364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.19986193821327 1.03467491385996 5.62514875333002 1.85491108865423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.65827663808844 3.49730228532708 59.7188658346911 17.0593817423675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.20270427878813 6.04802501312351 174.748901337122 47.6116988375266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax MeyerEstimator 0.000106282751641416 0.000201419550939345 2.58464124521672E-08 2.13163623629194E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0765699242874817 0.0895221790141668 0.0167578003548318 0.0217859498694661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.152861200137784 0.179476115233426 0.0700551285657579 0.0841911306287602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.305833287759676 0.35973941854399 0.306139423817316 0.314921976608436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.953292313543698 1.06935150215345 3.65453450265595 2.25975135757826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.65639491059156 1.77983693953338 11.9171000822819 5.60056046093154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.247606997881735 0.296408797576214 0.197135617954516 0.223383788460196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.502760109096487 0.589446246957865 0.916030469550412 0.791742569412391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.0470816215444 1.16843791206731 4.55066488634551 2.67225758670961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.48505486869076 3.5966260410165 56.1307922379701 20.1370740241663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.02685742879846 6.11701394109355 169.86246878326 53.8854857485677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax MeyerEstimator 9.39960765437038E-05 2.77323045429001E-06 1.0122270575357E-08 9.46925244858373E-12 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0718786653972822 0.0611088577122263 0.0155158277602873 0.00882253796073523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.143684606627768 0.122581657698545 0.0650915229010639 0.0333996874509591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.286861282193548 0.248048515392357 0.28172057079273 0.124574444226087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.862806239031263 0.803491899665755 3.04185400598446 1.05880337062736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.46170022200641 1.4105334406198 9.25447333673336 2.95681904022931 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.230498414320752 0.200742521293551 0.178874178224919 0.0848527714198186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.460679873837955 0.412513190833074 0.794252793053324 0.318159736653114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.930391359330378 0.874986293655616 3.61212217637898 1.24230619323221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.92824069438155 2.90245542828369 38.8229461640646 11.3800569045332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.97998104714771 4.9768515719364 113.406111415936 31.8291326187494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax MeyerEstimator 5.72339602829861E-05 2.53323009913317E-05 5.37738486606036E-09 3.8966768104242E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0828306611972165 0.056263065903576 0.019650048274256 0.00698482915412693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.162316981511644 0.119732157697049 0.0830771268583034 0.0265256949636901 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.317441435713915 0.264035285240718 0.358978691110093 0.103009293224817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.966525348467989 0.915888350627777 3.78344427794428 0.949211957391258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.63691862333282 1.59027830026779 11.1157897325528 2.67829283591403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.26348723286343 0.206386386866338 0.24185227820357 0.0687023029040906 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.523872600843692 0.461619297352684 1.06147297468208 0.279818505794265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.06698224637405 1.00388450732225 4.66370510246954 1.1522747820534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.29977000118349 3.22121416661974 46.0013963912635 10.6977337873919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.54541826008471 5.4471195004774 130.403739275604 29.9604166979914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax MeyerEstimator 9.61154954355905E-05 9.40536142787914E-05 2.03912488888677E-08 4.7383461501968E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.076467722588731 0.0750842573096205 0.0165592548647177 0.0151770997030682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.152741373575872 0.150508957839905 0.0686100578810375 0.0583539035295537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.304769153429224 0.303362684276104 0.2925196029683 0.215464947225905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.93197429277214 0.936660741853249 3.28097599960092 1.52989895464741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.59907430682862 1.60788140636687 10.3984750066136 3.88696821051545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.246727802111447 0.243179765695205 0.191756981196585 0.144799576988813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.494636602423237 0.491894013600128 0.847490285593614 0.511601571911103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.01130247958611 1.00464907932079 3.98264851122863 1.75825098848917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.27163457934535 3.24527752367431 46.3309729564868 14.0823378618177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.61451088178517 5.57675715888456 138.657197142883 38.634107963396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax MeyerEstimator 0.000252727396991531 3.09133135096957E-05 1.21281761645326E-07 2.02103883475785E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0616075113719618 0.0858083665580145 0.0112282727356632 0.0174591236749817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.127938365490365 0.167680433027238 0.0512073061669579 0.0628260625223004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.271145065169037 0.325067528491587 0.248017233228777 0.214039055575199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.904798337947181 0.95810007366813 3.1622021937714 1.42178351789368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.58625383756685 1.63075105792205 10.1691488727598 3.59257588276997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.214053548907447 0.265341752430384 0.15268585503348 0.150348458884687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.456269163048131 0.519436068515533 0.75362237198441 0.501875746726464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.979591502855554 1.04392741439606 3.7587751267562 1.67600088869034 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.25506730553502 3.32420800085262 44.3095104482252 13.221367809159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.58296702441105 5.67199013995439 131.759505022758 36.201147938121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax MeyerEstimator 0.000114491212674335 0.000187578428382307 2.07471313184024E-08 1.68454817131455E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0803564734891775 0.0654028866455879 0.0172058215353185 0.0114377009171528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.160506729747414 0.131077069142721 0.0704212190365799 0.0444190862598959 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.318860542373271 0.265065948697029 0.292081644071958 0.168988154265444 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.933323219220062 0.842613387667868 2.97773666651767 1.3063300587603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.5668665973805 1.46353283565643 9.21465418639378 3.33868265330799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.258361808235677 0.212897930232698 0.193179294594256 0.114269605312736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.509838693863771 0.437317513646043 0.813796752369655 0.427190121726972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.00884757090082 0.917235456114085 3.60636287147765 1.54279021799824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.16376162093856 3.05479903568169 41.3127085468078 12.4579605656881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.44063871368151 5.31453933575848 125.493650855372 34.2588245105541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax MeyerEstimator 0.000149012793984889 7.86952476897045E-05 3.95119465335167E-08 2.98723143488349E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0652898305909084 0.0800918009395109 0.0121826100261338 0.0162608456358857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.131021194923929 0.159821199969438 0.0506849715210679 0.0627463054428766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.266302752927969 0.316531130386437 0.221487255457331 0.229571047640777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.858734479783526 0.923206957769079 2.6812465706678 1.52684965235809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.4949108121253 1.55517941114323 8.74662639200596 3.72977868496317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.21632438423598 0.256792688381483 0.147230591239641 0.15833276188195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.447556098696697 0.504649831535062 0.680820828158178 0.544434557672085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.946788728838659 1.00067590623501 3.3607291465453 1.78422405438014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.15965306383419 3.1709394349477 41.623611666903 13.3902741338214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.46779144080603 5.45226664078765 127.101352162669 36.1025827705573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax MeyerEstimator 5.02418450817674E-05 4.78694578868329E-05 3.64360714311153E-09 1.14623456222911E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0833733446795059 0.0595268457242785 0.0188777359900407 0.00969527482541551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.16617734730761 0.120013737854851 0.0776794662341623 0.0373291495341276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.326374312418737 0.248189898072178 0.32107616066762 0.141540120894974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.936253790158556 0.834296398377641 3.26256433001679 1.14918655225467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.57204061452239 1.47702483374834 9.97769797397389 3.10313501321087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.271291941909343 0.197790186132501 0.219590224524501 0.0952701098660611 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.524096987082036 0.421298032619719 0.917615955477223 0.361817026065138 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.02791891203167 0.915235264500352 4.0494015722962 1.36814140930372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.21138764594183 3.10957403987142 44.2453162120954 12.0960655235864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.47046232298873 5.36544833939982 130.5496564243 33.6849381758857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax MeyerEstimator 3.46600893662759E-05 6.1983275791384E-05 3.02831871008574E-09 1.80565842992133E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0662163043618115 0.0749640175363889 0.012222671583792 0.0143638334187483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.132907762500827 0.149721648150307 0.0512569588700628 0.0548995825408243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.268207754922824 0.298598382914469 0.224885564028672 0.199214528307147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.851611137046817 0.896835033745325 2.72658541857279 1.34190163741943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.48978479768921 1.53019026919199 8.89933893673652 3.35239934792833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.212603614658524 0.242352009993539 0.141590453636004 0.135548219114236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.433933175308102 0.484745341604273 0.655293764545828 0.471676149122429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.917511268227577 0.97976092917175 3.26338186720641 1.58675418532071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.05992106406663 3.12450592872737 39.6934600031695 12.2625059777027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.27801489580001 5.34527292801426 119.78054984406 33.2743839284176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax MeyerEstimator 8.6505117189398E-05 6.87459233467458E-05 1.01000714329833E-08 2.21772695825446E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.067145226865178 0.073704708525554 0.0125248764091168 0.0137955697685063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.134560782331613 0.147245357154785 0.051931059006066 0.0532202243242753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.271316242043253 0.293567816291766 0.223576989271925 0.196928858208733 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.851621443541463 0.880760320893664 2.59124083224939 1.36031078656444 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.48039889901785 1.50477566321255 8.43202194316541 3.36998621042831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.218666781571906 0.238095506327277 0.14422549921777 0.135566169834141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.446934847269362 0.472999834950022 0.654664869180287 0.472922169796461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.930588465686526 0.955236089082472 3.17948277061508 1.57125576532404 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.07949065724187 3.08161465023957 39.1048620752919 11.8930878215594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.32937258646407 5.30980508765487 119.404522165459 32.2149293625807 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax MeyerEstimator 0.000140561222104343 0.00016513014381874 3.60410661595731E-08 1.32959474117481E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0762973100815457 0.0704342357771434 0.0158199892801312 0.0132117251027011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.152365510641062 0.141232794954262 0.0648923479248945 0.0513645415827778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.30330335348851 0.284851897672317 0.271429597315869 0.194805998347898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.904340329268699 0.886583421548673 2.87127197555949 1.45862321212792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.53467197948397 1.52772749900889 9.04385307469058 3.68188204228695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.248199114635058 0.224502665930736 0.181997884495384 0.125969375824064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.491263049791506 0.458182922978564 0.774409848891175 0.466976568743172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.983283485774221 0.949803070777708 3.50088362528012 1.65868445791038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.13504873621939 3.11652350816033 40.9477813055395 13.0996467480644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.4052054278121 5.38713973568285 124.736730025511 35.6539112725713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax MeyerEstimator 0.000128185548790162 3.2596289466123E-06 2.67730977311863E-08 2.04414239718502E-11 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0887245342412051 0.0530326354312287 0.0216864086077573 0.0065486677999874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.176383697358907 0.107759174608627 0.0906701230491391 0.0250586003817268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.3462267344381 0.225829210414689 0.381957987715274 0.09735476703182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.982210320615708 0.809291503141239 3.74163678671474 0.935016975103462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.62995932158852 1.46216510255001 11.0097377233467 2.73674128148604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.28400305870439 0.174157079352058 0.248713690443925 0.0618680553020454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.548785886597716 0.38218840596873 1.04097441481452 0.251988080699462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.06196066167795 0.873397386566233 4.41040462028576 1.09165592678435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.21496591168875 3.03876122603877 44.6258866224854 10.9679078895591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.42022820608858 5.24960237703946 128.734162896838 31.3570565692837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax MeyerEstimator 0.0544041032583803 0.0214291855680854 0.00926625602826248 0.00155747485295241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.113046219989018 0.0717860994624924 0.0390519120349153 0.012285820587907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.199098514192924 0.14778495468191 0.136848193958263 0.0432571034863578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.382766451968517 0.322721376871258 0.572835192519283 0.168690413564314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.1652646254356 1.10250051878936 5.9125402826443 1.56439481650975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.97004161503663 1.90489759529377 17.2009020627104 4.41095265363683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.303945088888307 0.251572246630682 0.350113935968691 0.110311917103966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.602055900514933 0.555503232862086 1.51676567124708 0.450514222502222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.22591742870983 1.19323827895413 6.59597655730609 1.85010672312096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.78392707268734 3.79112331311815 64.4368184771457 17.1808732863528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.35734712837014 6.40532975378967 182.394041563906 48.4170789927455 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax MeyerEstimator 0.0468123892235215 0.0887216763053633 0.00744904435184793 0.0251802470479882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.106851827872745 0.129402803339133 0.0359068006150028 0.0480835883912204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.193854231983042 0.203334600269615 0.120775198085532 0.109834586307588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.37373395728856 0.375581719903609 0.483261561149798 0.331653979584811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.12730830354804 1.13170707827588 5.26696797168937 2.3229831088929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.93198293249219 1.93448550777659 16.4180587429504 6.06560055973422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.302188629703687 0.304128481991866 0.30904176229478 0.232057811039095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.598047091435497 0.599961533583105 1.34394455066615 0.778923117310761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.21958928576401 1.22741130681706 6.24776099873662 2.76228605737306 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.93133481888466 3.92872970877999 70.716755864113 23.1007939571419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.73858922454947 6.72644333087915 210.153565013808 63.7345292428542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax MeyerEstimator 0.0557058265913835 0.0823381280701751 0.0116114561125985 0.0178997458436891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0982213263225342 0.132035023104195 0.0318076259851243 0.0426928601300222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.170820441623049 0.217176655147027 0.0992711445885743 0.108839427592936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.340574558061476 0.399516254819564 0.425656444833861 0.330979324265524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.11755462671825 1.17757992381283 5.19363224495094 2.22274522583152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.94729364271426 2.00407921320386 16.3734939415258 5.76905196039772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.27220292717071 0.332272954886193 0.273265851146008 0.242812785762394 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.569385278339687 0.632958188217224 1.28763205211569 0.773375047098307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.21479070363908 1.27499567585581 6.26783475992088 2.66864891418569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.97768780439096 4.03322092383237 70.5541950844267 22.1189853412302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.79819887139233 6.85821478790824 207.431093833427 60.9912618128372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax MeyerEstimator 0.115455231953545 0.0692605686090344 0.0400506744182459 0.015407584385769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.147942699541175 0.10688895543548 0.0645148072476499 0.033333587598774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.219234114927522 0.174829270834503 0.142666105885391 0.0840944633339824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.387973847972329 0.331254746609454 0.471781682352226 0.27480463149392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.10337173098209 1.03465123510793 4.61676619826023 2.03425666499016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.86077790273483 1.79348140971744 14.308544284231 5.32383821439763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.32757040018941 0.277559795543662 0.336473241924925 0.203184448277317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.612702756103433 0.556242730081886 1.30180802029605 0.718640152499676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.20796256118875 1.15879190881576 5.75487074468324 2.61879478211546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.81828851034448 3.80109127334029 64.9281750191727 22.0760440282741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.54167724076875 6.54547854261956 193.940496549397 60.8715058524599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax MeyerEstimator 0.061895155329417 0.102876236454278 0.0134497681750175 0.0302469345507907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.102703573602205 0.142207754072098 0.0341494996163572 0.0543006577368445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.172968547782053 0.218884305015018 0.0980738416107599 0.121705566716783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.333505319730744 0.392690775892961 0.386138913330916 0.359663412899053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.05537822937135 1.12448015525602 4.4865989698761 2.3595156591106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.83485541203638 1.90274208636763 14.4014743685451 5.98752322175585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.271183219839953 0.329804223911377 0.251602202905323 0.264199241825562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.550202240456969 0.621977543599963 1.13072670204688 0.836724305391334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.15380277514455 1.22975006213031 5.49388045426549 2.80449273481884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.80998648426099 3.88922654554148 65.2738077708193 22.3554798128133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.56989394659741 6.66888679457603 196.88611307457 61.5688020890249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax MeyerEstimator 0.087022186746153 0.0486794633423922 0.0220810884333074 0.00781108510370646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.130838957984324 0.0883093497942852 0.0503287215340109 0.0227626490383643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.213067469776423 0.156385622434566 0.137402291907538 0.0659741855973982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.390203066629907 0.312603645467716 0.499932180519902 0.231672985480923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.11522916752927 1.03227980226872 5.02828073082768 1.8880310958523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.88187219895777 1.81372196796119 15.3038957951678 5.17287509693409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.324420286519568 0.247064163881329 0.346883404696519 0.153362248733388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.612709376217921 0.51818836695317 1.39641090384471 0.575190394552109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.20986088301542 1.11486769149392 6.15854626671335 2.23027005601951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.78175818279198 3.70790511595166 65.710407692464 20.0482896958756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.42344483319272 6.36089520140711 191.771308281753 55.6069023699327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax MeyerEstimator 0.0406911931783102 0.0736415533041075 0.00572340609980172 0.016424044958142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0922208872342803 0.117806065197633 0.0259351850368361 0.0375635670639574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.168916705369856 0.195711878491258 0.0902258307543562 0.0961466376887687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.332239210175757 0.367314667236963 0.382064140853915 0.303427800191444 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.04889360196771 1.09942270147411 4.56443451042724 2.1041926500074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.82271460876183 1.87875958286071 14.526706492261 5.48205262088689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.265682885724253 0.305377137001753 0.242084518051536 0.218864000489872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.539997157747913 0.596996396452719 1.12116764683219 0.726755377721108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.14010304356531 1.20422055904552 5.52006089932012 2.50272346721162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.7636281857004 3.81902852439495 64.2130322963557 20.3578008555426 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.46428708097284 6.51474614834239 190.983945213671 55.8385673557168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax MeyerEstimator 0.068103683750299 0.0895633893630928 0.0146864828763672 0.0224703244571226 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.10675503092209 0.126213824870297 0.0345421573383089 0.0421863024600873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.175674486416462 0.198434899314309 0.0950874462537628 0.0997149689613849 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.332294567065321 0.362860888415969 0.361402983414822 0.306914166182879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.02421465610799 1.06954421421188 4.09414682837614 2.05837068568963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.77101266458405 1.82517581919288 13.1083676475245 5.25079006145905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.279939104528139 0.301934788380402 0.259108718284978 0.226978838934706 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.557486260429886 0.579885141550176 1.13153440469934 0.738209756967241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.1556336768306 1.16817111244619 5.41555897990958 2.51709903957983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.78813449686362 3.75459686374289 63.6379095334415 20.3539551642761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.50927455011346 6.43731568396651 190.63036750468 55.8632520363374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax MeyerEstimator 0.0758060835879399 0.0988347733484032 0.0184068713099134 0.0306478775650341 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.11997876380058 0.133054087357999 0.043071776251297 0.0508541607839051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.198112741583184 0.200790024751339 0.118791880329803 0.107830999946562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.369940807221797 0.361547243581434 0.438718361578597 0.319145442589048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.0882400255203 1.07956041052122 4.55018021709453 2.19237343429871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.84878118239919 1.85016224746371 14.2361873504068 5.61988198615043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.304054196085325 0.299095716907589 0.29773604931709 0.235532270842688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.590404492037387 0.578121531858176 1.23552443965944 0.777658922561214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.18669346137787 1.17418254602352 5.64328719772663 2.69752212722396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.79366323820641 3.78582601443247 64.7316648076655 21.7062811600238 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.51489310080583 6.50942586785586 193.828450094051 59.0957412027017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax MeyerEstimator 0.0600045076895809 0.0338506462224092 0.0104989123030298 0.0029373265019041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.124234572074466 0.0731014615723817 0.0455506171256234 0.0132536346561624 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.220553401963303 0.136304403535026 0.153783463213149 0.04293736862349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.416113426394587 0.282448440087965 0.606141354726926 0.164191752073316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.17831854020131 1.00448622540027 5.87902579486794 1.6266336049852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.96291209340109 1.79354047999881 17.2291881225972 4.73412586640417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.341856370366067 0.222877252167821 0.393693171183721 0.106543840476437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.649474055693387 0.486437757633843 1.60496143971546 0.433391978537001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.26506399576336 1.08973074673178 6.81505276910098 1.85113535938015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.85024071746548 3.67768847316656 68.1662075796195 17.8369350172049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.48424441946277 6.30160065100254 195.059962651978 50.0732150185473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax MeyerEstimator 0.217958274579732 0.0438558045455386 0.268656095832199 0.00538193426159576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.392731443154288 0.2398762888923 2.41405349528946 5.81647577604012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.661181466927961 0.523747903436273 8.39051420788304 25.6725404671391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.25534122910318 1.16565833763582 34.5305348399124 131.718892471372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.69038036879896 3.66976788878048 286.126654270331 1028.11750935779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.02128807005663 5.88697257330828 601.313651553069 1007.97926851062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.996413765072102 0.845766396946366 25.8978454858632 10.0285915919478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.93696165167659 1.79480055657436 95.7405100686118 40.6091531920426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.84803706784424 3.69784263232536 338.741518121583 144.66779286427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.0211409578605 10.7559179325827 1576.40459496078 694.020932701245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 16.9990996286159 16.891125896186 2629.98122616015 1379.56811641776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax MeyerEstimator 0.180543120667266 0.176861785613152 0.121264916659918 0.131598823713998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.378999200076693 0.497588071419717 3.78165168862298 184.924087552156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.655999872482715 0.812210238490936 14.2622007717293 356.242669683666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.48359804867966 1.27098268607499 518.964667605925 260.133002413636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.93183783946798 3.54296551432431 637.609642890117 443.792904029955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.43666406560321 5.64522858394941 1123.19746993179 387.322919463119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.992095713639751 0.904601065278112 78.3553874737859 56.5421418687577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.97435721073109 1.76635355999887 309.425834042754 149.916259501427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.97557083794643 3.53755581011391 992.848710960607 258.058177459541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.6605394653717 10.1397379082423 1518.58841539254 638.089420838576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 16.3379543737769 16.3615890171515 2083.95561502545 1216.63281367366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax MeyerEstimator 0.238890205309153 0.142198831409857 0.448483578520413 0.0625249399112346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.453496824022508 0.334128279680365 7.38111958357366 11.4341041305404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.755964009832578 0.61338232530624 26.5620274681144 54.3449584945168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.43088825012609 1.27716981205056 94.034997940664 370.954991173321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.13984955729462 3.80877195582247 480.977535466893 1526.53822134357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.76497664644024 5.96656482475587 1036.08952200357 824.291949030189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.02655796841541 1.8018588824427 23.7590859902846 4723.12778339512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.06165500977107 2.59054380764873 115.348032218386 1820.4392707959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.0680211278253 4.51337693759446 358.824511336276 650.911616048113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.1395729402049 12.0414339809063 1109.66860041367 1309.26344184663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 17.2001120342172 18.2736052921678 2111.64928508583 1794.24417030503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax MeyerEstimator 0.217896668328898 0.212201555698965 0.153948225419804 0.201259494202073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.373082260383397 0.360273321726015 1.45547434347312 1.22788078618795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.608398394320806 0.586048023064232 5.92103046160956 4.03800852273135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.13169134697979 1.09491818604298 25.1569280423535 14.9038249825129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.34894838161537 3.28653288915715 191.532505979356 127.056498172618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.5826406931427 5.45896393645344 542.54631499191 307.794366053562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.875327272255108 0.863799966115059 11.0146293661919 8.27505646272507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.7207969945473 1.73886021429109 45.7573470189792 49.9492225222904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.39569317984524 3.48179535376052 146.145345226818 144.498187256303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.1332722871278 10.3299093968666 1009.12876961062 720.062922371993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 16.3589252671736 16.4597520586493 2198.30169423212 1336.84826339942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax MeyerEstimator 0.185446881250174 0.205880528693823 0.123313756992114 0.156117112935294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.34757920575355 0.353929041183097 1.41612264776652 0.806128351598376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.580938160359487 0.581083076361487 5.32051774093335 2.71510608003759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.09577650903751 1.08312236087113 20.8090957758254 10.101420164312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.26433159408956 3.26270537588275 144.838553893608 93.4247341632047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.50465010373568 5.59680706892231 369.010506720086 331.0944043978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.956914467060578 0.917734220794612 38.7372324339953 13.1943898046273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.90912948472254 1.81026140943553 136.756341754311 51.8375724880855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.83025024754257 3.648467108595 338.923539770851 164.11776285692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.955300396684 10.7030266014249 1280.93112958454 730.217113509207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 17.0832879606107 17.1771191978534 2391.89492108576 1360.03215613743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax MeyerEstimator 0.177723566440037 0.137394804227326 0.0986522040440277 0.0820409944162288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.36906998413066 0.31860096744203 2.426807761074 2.441173367378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.639900819113811 0.576652297035043 9.92592815793608 9.54227981803592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.22126366105847 1.14502100646181 41.860938475823 38.5887141940513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.56145208561022 3.53025918637659 253.087598202598 278.219851630737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.85553431566151 5.83034905802091 473.525394444198 467.889720847076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.970312899303262 0.861152532965381 50.5601890355226 13.4197804533101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.88409623976004 1.7439478280018 122.860270260986 49.9973892864946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.5989054960163 3.5924249848228 233.521311731889 231.769696755921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.2654577487406 10.5120970325948 1018.67628108414 1119.13029948036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 16.3675384000493 16.3256653119662 2172.49850713626 1496.12293812423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax MeyerEstimator 0.137920069124454 0.157788599084994 0.0669867470827514 0.0891402808965918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.272682020585318 0.379322780468422 0.591402243378086 40.5169741955014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.477297934447078 0.663265093515682 2.32017989011284 150.170378973528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.93472652583573 1.25252235433931 9.92779625355852 487.754351594404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.94596784791314 3.48242256670591 101.493692005165 1290.62809729078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.96029802288604 5.52605071213137 256.173569701875 1166.41387732153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.991811809863326 0.880657786498018 209.948945361553 8.93234826623926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.70174962619598 1.85324951618337 55.2673715264669 204.730444460548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.43620596217268 3.51206950048523 186.532100198054 193.969010219055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.85202314916317 10.0101362836917 907.470910047144 608.273363820146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.5318882384679 15.6028520817005 1792.99182191746 972.682510902406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax MeyerEstimator 0.179618515792259 0.186715654611432 0.112055220761074 0.123168854348529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.367748403161334 0.347466443345988 3.91376080530602 0.916376098512304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.633097593496623 0.584761833803983 14.251564935853 3.32360641265648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.18563355697273 1.1052084064149 45.1393921617823 11.9398341796499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.44933641142768 3.34753841514516 274.578471101107 93.4920271259647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.7811725815147 5.62999009388974 804.853149120976 248.651640687232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.00119801345254 1.00566118737445 44.8815625514611 36.1942434693872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.90945863185302 1.88030165455372 91.9331515878754 52.3113269755061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.72859281412886 3.73141326888558 215.06968706415 159.754510130916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.7408829983659 10.9673406858424 1173.32909449052 1444.95438335902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 16.8595316897404 16.6375083024565 2381.07391331943 1227.51312777463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax MeyerEstimator 0.222582612775027 0.210624196053627 0.160465833609666 0.175349840304487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.379612227293224 0.35887743981109 3.03969052749158 1.05895842273788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.629831268660293 0.589250999131697 12.9078105688224 3.73374923738345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.19263501151261 1.11129750217705 56.729550303752 14.7836676122629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.64956818354818 3.42469652278098 433.703202483451 137.783076362176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.97442544080929 5.74688397084043 774.202906942051 334.643250713245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.875108030480991 0.912021653349583 12.5306774531143 13.1397006897135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.71626492317797 1.84865954407304 47.4233347125389 72.4963171248664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.52045772697351 3.81283135447376 187.710099999366 354.084927936182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.3661084799704 10.8210584702748 1319.71523211615 1177.37437390827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.9019192973153 16.4839701549638 2057.01653382215 1528.01560687931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax MeyerEstimator 0.163352933415359 0.0702171150010493 0.13317926375587 0.0165922745479805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.355788871360268 0.223311304819327 1.54147122692524 1.6345343296631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.612662753120985 0.453192448988555 5.5665812737656 6.95979322444519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.15216352678537 0.978772232169448 22.5528343807593 35.2576192674836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.41348826540986 3.10830906802363 281.9537226921 157.595202066938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.55726719016231 5.31151096907322 496.867436529325 378.540780648431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.0716399280641 0.822966792425531 65.522765782368 29.7205791632554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.04017327066557 1.73549504323913 179.581125709594 94.1298825513267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.90313115257034 3.50947727228901 368.762068832873 212.943183393437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.8598046224046 10.1655228488642 1334.48788584838 782.72348032167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 16.6169356068566 15.977110004586 2320.95961864563 1189.34241929358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax MeyerEstimator 5.41644728937935E-06 2.76529255144748E-06 2.174343492164E-11 3.40709610457643E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.587165053708282 0.639917540193001 1.56228431072902 0.56050883312339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.24713822570843 1.29185076887001 7.11594232224181 2.07097280258844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.57573889451366 2.612390922041 30.465369516563 7.97971821724816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.89968132443297 7.91553129822182 287.120280005452 70.108769643148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.2233905091184 13.2206834595363 804.673100648217 193.73904853593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.06350340664494 2.10363343163711 19.6461797483635 5.35212240396626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.21232629045188 4.24517621046341 81.9835976432367 20.9400615563361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.51226300759642 8.53383596192404 334.939118187588 82.8287752582678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 25.6922225485145 25.6797130134602 3048.65101149844 737.188014865288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 42.8115956291275 42.7769456617564 8448.96016423649 2030.24320915652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax MeyerEstimator 2.97810177972792E-07 3.40380656478504E-07 2.34522886758854E-13 2.66478695760736E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.806462466458572 0.791518167677546 3.00271570497417 1.16114517091099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.63353661990715 1.62015075114003 13.4817526724765 4.55977963671797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 3.34124506886182 3.33192178284133 58.429780863741 18.1539990826779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 10.2965700124433 10.2969322156804 561.548492221524 162.988165233455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 17.266495592595 17.2784514725023 1579.94333051981 451.326783976063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.69694095657595 2.68691012050293 38.1219460638264 12.4135058036254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 5.5134849126192 5.50508247772736 161.470066804667 49.5469186505125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 11.1867842457532 11.179789612231 666.613948030983 197.794486347503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 33.8381252738306 33.81867173501 6083.77413658599 1752.0629774512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 56.1631287859279 56.1762521291522 16672.6618842507 4734.10879948851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax MeyerEstimator 1.09801692385311E-06 3.00795920937233E-07 6.07455854037456E-12 9.30703838555037E-14 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.453390321374451 0.427146142637736 0.82308342278378 0.267428527585106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.93663136508682 0.91029808944569 3.75121830083859 1.05830164692151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.93242702713637 1.90795665100654 16.431136548144 4.26322411679709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.9651921396292 5.94232078841812 158.960672090579 38.7819592924417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.0075175587971 9.98479738115462 448.487437593842 108.026530309385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.54046358091464 1.51733233666159 10.4778916892167 2.80761808860284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.15864198494366 3.13991672680495 44.6668378165069 11.3194097601922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.41147462304262 6.39893118936123 185.059310924955 45.5491535304831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 19.4398235653263 19.4411019069728 1705.62891290618 411.352449553455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 32.4532161678442 32.4658907159866 4751.04100639465 1141.07151333809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax MeyerEstimator 5.74163251276597E-06 1.30712253230371E-05 4.86674574996621E-11 7.379308134817E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.446015762665397 0.634475579100036 0.60540825742341 0.895121629009836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.934200924985658 1.23774781031426 3.03558734346901 3.03660336579675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.02531032181648 2.39448139480649 16.3298846732157 9.64477182438579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.95158456633558 7.2720959800322 212.001937282099 69.3577321350529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.0580104079773 12.3432167359871 647.059446360232 184.785916030204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.60110450419482 1.95725020316028 10.0593479936829 6.97013759204822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.52348513731403 3.88669444257018 53.146036502532 23.2276008174904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.62783012905784 7.9575896470533 257.854090211316 84.3739633928876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.4564720416439 24.7463552553175 2690.41105438435 714.008308828531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 41.3132913677084 41.5936927265894 7682.52477477427 1949.78469489682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax MeyerEstimator 8.36371127388476E-07 1.46520867073295E-06 2.60283649234843E-12 9.30687027608144E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.61719825287515 0.761479699900599 1.63329503896355 1.09560750297795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.32064394153749 1.47642571898266 8.30686342645901 3.75772028642886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.81106955528481 2.95319474494316 39.3183753683711 13.8708603976931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 8.96786070177735 9.08653206125707 405.990116962054 119.261581613719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 15.1609145662244 15.2751889558896 1161.11496326509 328.136684286271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.25330034273034 2.39929696015259 25.3443320074622 9.67994057584636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.74338985200812 4.86718300871333 114.134190263053 37.0672794256897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 9.78718221312648 9.89502526983557 487.553356256742 145.277369043025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 29.9982416056142 30.080153357026 4572.36198196742 1277.51948624067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 50.0728824479707 50.1150716585488 12691.1105202404 3473.15290281353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax MeyerEstimator 1.05055278391674E-06 1.76941154477298E-06 2.08079907423286E-12 1.44557549825431E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.299162885239937 0.574756614708878 0.291436320953044 0.734540698022595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.699948130646857 1.07570389411171 1.84161390852953 2.18450851437929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.66235806011282 2.04514615248278 11.3429089055333 6.46110147784764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.83926282491856 6.17029307357063 146.708943798865 45.9736361730676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.0819760049116 10.3934517572944 440.523337155736 122.043942297169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.3094122558095 1.68953382962601 6.99002660317544 4.74375660417328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.98960873419383 3.34336106283591 38.0859333101849 15.4645977383799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.45761257357376 6.7864641400381 180.746058655889 55.8520118164419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.4601769286797 20.7856030751955 1829.61944721918 470.585737734077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 34.4633267003434 34.8124626703744 5193.25256087718 1287.78924434121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax MeyerEstimator 3.05976897273919E-06 3.37244226008928E-06 8.33429800600445E-12 8.84084089291884E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.658450426335251 0.420118138140035 1.29108970590702 0.345257908064731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.25462865052798 0.924966989155798 5.39046782226322 1.42199826460537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.42504125205829 2.08417013019614 23.2976918074185 6.06683358980695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.40181925368029 7.11622914186564 240.193655730111 59.0264236044072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.4985339059823 12.2337536565166 694.987740897085 167.025139280613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.97887570632634 1.63928649282082 15.2024260315614 4.11047149210712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.96035060729912 3.64681432492716 66.8640042474627 17.5414043026628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.08400220229603 7.80102627207237 289.410452348932 73.0249096940522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.8516012967243 24.5891491831945 2782.87193687397 674.521938165961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 41.639683206302 41.3666439294763 7823.30923121594 1874.79401030367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax MeyerEstimator 7.80788952289989E-06 3.65029395960109E-06 1.47953292620359E-11 6.36776110638973E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.64832086257359 0.426962444499459 1.18680175619278 0.376181917729697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.25425347739226 0.909350650034246 4.98681832520255 1.47003191036085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.41297581027395 2.01750277744703 21.5546053220687 5.99117146490335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.33093970870994 6.98877713506734 227.953503170417 57.449698328124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.411041038955 12.0997444823521 667.834131445581 162.751326834899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.94370115398928 1.57275931306228 13.7446621820309 4.02219077018653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.87202287994229 3.51224973282008 61.2307058673352 16.8045373717536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.93042899381748 7.61050753696081 270.737989509364 69.7275038986031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.5697411318371 24.3158192332568 2664.68460324883 645.424704489696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 41.26224832643 41.0432783626283 7534.65854366015 1798.18201732054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax MeyerEstimator 6.94658822500312E-06 1.55649003542547E-05 4.91452593589169E-11 1.04250823992076E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.445071753701751 0.62278470140378 0.585759873086988 0.870094885777997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.92318917200423 1.22100570865062 2.85995680998392 3.00357813204678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.98579709068952 2.36863797436314 15.2369329952929 9.57638687235326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.83225107462841 7.18686533478181 201.422442379073 67.7310712484254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 11.8829541708112 12.2099843027685 619.57332508719 179.722009300533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.56550317359923 1.92430778570754 9.37782728766254 6.83221768972954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.4396926074271 3.82085180042894 49.8713966818015 22.5617251703979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.47115482608409 7.83310678739019 244.990947465554 81.2632692009901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.0769868139869 24.4341074820444 2590.47582547669 684.445812666504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 40.7423825152862 41.1134754251554 7427.23651095936 1870.07933705543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax MeyerEstimator 4.12267358120412E-06 2.51670806949749E-07 2.08947881294829E-11 1.48928088253924E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.508076541116699 0.355581273513227 0.811149463438103 0.242484615188139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.975338767871943 0.786543077009747 3.45769836501386 0.996756010885976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.93688472648735 1.75501532310171 15.3205732035015 4.19054942280954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.0180420302081 5.86237067153116 158.267876972065 39.8154953783692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.1654524518002 10.0178753689883 455.920230587428 111.969941099301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.59898071395734 1.40540067154035 10.2457996941 2.8742636086537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.25662648857064 3.07605020735907 45.423423676705 12.0252858696049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.66957177880929 6.49574667353377 195.487922839703 49.4348338874315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.4529941425252 20.2704036565189 1860.52840760818 453.337743636157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 34.2290117121932 34.0422340980213 5214.00446637606 1261.80622640806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax MeyerEstimator 1.69178245575385E-06 1.10576369841886E-06 8.13009757787875E-13 5.19868339052225E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.506440094481825 0.503599155448015 1.01204709162282 0.295436140343564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.05523183754283 1.0520220928914 4.52392342602968 1.14990403740456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.16431074108541 2.16009632674822 19.2803802544728 4.55470187767545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.61421815005349 6.60622892245661 181.494975570423 40.8058028358687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 11.0650568652043 11.054736847978 508.665712434183 113.295038256096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.7654252457371 1.76628854719832 12.83409176008 3.16539326844265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.59180374856044 3.59436845553567 53.4829104308066 12.5889884518618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.24851673058756 7.25478679723715 218.493947172404 50.2354536221344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.8761806771619 21.9034496881941 1992.95295108095 451.677074701836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 36.4931666709465 36.5526787844951 5542.14898856152 1255.4779187792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax MeyerEstimator 4.35787326604716E-07 6.50208324705066E-07 5.33457646116857E-12 9.40957665785303E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.506307589342182 0.465872481982554 0.980269376467255 0.381591544483477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.02470421320954 0.9839807227514 4.52634212354642 1.46520008788053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.1174938519335 2.07920642990858 20.4090969308032 5.80713759914669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.61415098249644 6.5768243161676 204.048225724161 52.3155610280428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 11.1338784683743 11.095516122306 580.010123837195 145.321799049821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.7113438620804 1.66904132336101 13.2787347548671 3.95067450070743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.53318016776745 3.48862569776785 58.0488181570447 15.7968203776473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.21880262367871 7.16513079053032 244.417434434312 63.2964116411547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.9983128389262 21.89849058021 2277.09237188122 568.916970433554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 36.7295437782292 36.5863154248624 6339.63338318106 1570.32455439367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax MeyerEstimator 2.37285003122238E-06 6.58349915193274E-07 6.08445190831806E-11 9.97241756741578E-14 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.433840884667198 0.529102169361823 0.803272427226753 0.428019325553253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.964175928631762 1.05342876277581 4.08765780698575 1.45296170693667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.04989541695081 2.13486448795924 18.6941788196893 5.3628379001894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.42512930232739 6.51335815142855 184.815891412316 45.8965583218433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.8050118398155 10.9000152373557 523.273009848009 126.261921354963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.65713496003689 1.73889906854147 12.2885494652674 3.78461726632936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.44901159358421 3.52688543564633 53.4946794144438 14.4641858654687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.04263936743078 7.11936591366295 223.490215670155 56.5987300025414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.4217703487421 21.4988888515653 2069.15899359577 501.169399110243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 35.7818295466321 35.8471764684482 5767.16339210015 1383.10221386537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax MeyerEstimator 5.63944769179717E-06 1.00999814738811E-05 1.36372551514972E-11 4.36030704779961E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.4481381864901 0.468490829460651 0.565930224746598 0.495782858766756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.905212524067583 0.938993323943286 2.51725549405313 1.77418403936173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.86765649110129 1.91067878018022 12.0848177650998 5.95022845219143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.18947018357481 6.22571002310598 150.16729045612 45.1045834769648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.6995262288672 10.7281013205989 459.295850287445 121.807884769167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.50117952053563 1.54806707943548 7.69920657189883 4.29271371512708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.18651590455326 3.24183004119591 38.3272631484627 14.9290945189308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.8054013109674 6.86754113902308 184.217835621847 55.6865987233333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.7310675997962 21.8337182630838 1934.81725856038 483.158672080054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 36.7304183526056 36.8829990785938 5550.5984870384 1335.03903741602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax MeyerEstimator 1.46099251229206E-06 1.10177033613668E-06 5.64949279789724E-11 2.17016426824012E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.419451804101608 0.481696559737449 0.612308108330953 0.454172018373631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.888502175620096 0.957733177312698 3.10995415831134 1.50311596179874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.90987442870055 1.9702730588607 15.4291151830296 5.34836870675704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.20438393635642 6.24522679257473 168.940258445546 45.117777225731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.5416074314821 10.5696873691756 490.423620795951 123.93083120593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.54042596859861 1.60107889945537 9.94769312385406 3.74160230366462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.27913052089691 3.33054467021398 46.8113307976439 14.0495426509767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.8261824958001 6.86767030786991 205.846072493157 54.7169486546101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.0964596394419 21.1146962684807 1979.54783051189 483.973969808091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 35.346653721356 35.3499629073541 5556.13734851764 1335.03671581862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax MeyerEstimator 8.6145181842299E-07 1.56289688549615E-06 9.22485592425605E-13 1.09739294702995E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.429386365564645 0.459601951554286 0.5711700799447 0.441297707283611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.884545177711098 0.925373108492883 2.74024069721628 1.48566758151156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.88175236100682 1.92546005918816 13.700276354338 5.14827087917028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.17362113825956 6.22470265878075 157.359550645821 42.4532914904505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.5402465844335 10.6016319309211 463.673252859204 116.360670050543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.49158294510612 1.53960839043895 8.49808970147779 3.58480965511096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.19794781250017 3.24206800025249 41.4152607808351 13.1537027909025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.72367624705465 6.76807382191891 187.804911570298 50.7487700074283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.9801339084768 21.0408781080173 1853.92797346351 447.655439479443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 35.2521754105888 35.3306475023744 5242.08523265981 1238.60742980467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax MeyerEstimator 1.28019009336526E-06 2.79866633132573E-06 7.0762368572972E-13 3.29206739673805E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.444159868853647 0.47329113964013 0.582372534952772 0.477259399723084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.908374489503606 0.95116546301609 2.73108500124895 1.62311292759297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.92387823715933 1.9682333617081 13.686217389508 5.4878480189172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.35668644185948 6.39015598661944 161.937659285366 44.0249018417878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.8891933950683 10.9134870349309 481.829354564683 120.027100208556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.53123589333559 1.5831721243292 8.55497028959099 3.91429979463146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.29028609552239 3.34408917342629 42.356562002336 14.1284085451782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.95811899828721 7.01261645433429 195.51862648907 53.9855138055629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.8503724328461 21.8975692040137 1961.3887094873 473.37480289195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 36.7750877922359 36.7993371400066 5566.05560098831 1308.56491171171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax MeyerEstimator 5.35636139991296E-06 3.99116607687779E-06 1.81901658893275E-12 6.49463952275981E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.475104298542623 0.476162427234758 0.633603179172135 0.495084771599879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.95775010140971 0.958524243423129 2.84124561829983 1.74582196806622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.97700275543236 1.97867067310095 13.7186830625021 5.89382989272329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.49265383839481 6.49978640939396 165.525170823301 46.4825059166447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 11.1608168025001 11.1703276015361 499.113436816132 126.546563805919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.5722198364028 1.56683015148244 8.55582127233093 4.13029733636395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.34265902483209 3.32510584765041 42.3242972740053 14.7087808896126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.09523467510728 7.05862748152139 199.375402842627 55.8526093987147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 22.4512975855107 22.3392485765289 2047.47324603249 489.043224374535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 37.8581199052573 37.6689060440862 5843.06870274023 1352.12063993831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax MeyerEstimator 8.20545795253462E-06 1.09500022554284E-05 1.73541505314648E-11 4.97996990083077E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.464200425914083 0.475786101476582 0.597297437406981 0.510897513797246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.934098401651661 0.955421501868401 2.62650663862535 1.84830591083445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.91476612989728 1.94197631986112 12.4456292195308 6.23156800165211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.30030768740909 6.32285230444118 154.35139316473 46.8796672175405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.8973536555966 10.9171310692005 473.98896828709 126.517887222287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.52988199556438 1.53798716806473 7.82072726928013 4.30085992356444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.21861221946923 3.22811106832307 38.5085463490438 14.9381181608075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.86499505854601 6.86760425054276 185.668065074127 55.6167638294183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.9776639353595 21.9541948469821 1967.79595856409 482.669588205914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 37.2049111463203 37.1425741392589 5666.53720224253 1334.6948921984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax MeyerEstimator 5.24930139078037E-06 2.5919111698683E-07 2.89930497240884E-12 2.00298228173808E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.572898224856976 0.309183878453556 0.973348080817367 0.169811759866579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.06585129942173 0.74382184558809 3.90912980616353 0.79210646554602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.06022829588462 1.75130674898701 16.5633850350654 3.70977136240008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.27650303715803 6.00749529719301 165.880506482683 37.9078459155915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.5636529547537 10.3023388881222 475.321669722681 108.093249797521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.67331549372649 1.36089076562347 10.6703208427216 2.41543854902553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.34499599927944 3.06018672586903 45.9832129468734 10.7988100746376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.78988602243931 6.53005344507743 195.328155583258 45.8376850739354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.7142339748537 20.4884175063578 1845.76341342524 429.403755467216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 34.6491163272478 34.4494762727409 5171.76221877273 1201.53491413088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax MeyerEstimator 0.0639296371149786 0.02589346997848 0.0131486426098546 0.0021792432446565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.618990702590474 0.623232669210907 1.63673819901268 0.498611540797844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.28219688982923 1.28975720837721 7.16039395066934 1.94651314962298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.62005493253284 2.6337892142634 30.137787667256 7.71842023099694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.98352045892972 8.02291282599497 281.104950833406 69.1422561339706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.3472884869927 13.4127412497633 786.302929668478 191.875876357733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.11342600682665 2.13336161273967 19.6028084381005 5.24918927787152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.28826477488401 4.32778631992459 81.0382431884578 20.9159010016455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.64092123450849 8.72049361791088 329.626089786073 83.5491800203116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.0451259330261 26.2930417963907 2995.58949373731 751.284557577073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 43.4354944186884 43.8588305293119 8318.99511345921 2085.19276373212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax MeyerEstimator 0.0383620919727826 0.0462557237647003 0.00431299292291326 0.00581569176950945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.607616013561621 0.566232262120407 1.54780565745504 0.600828962744428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.23015593692032 1.19293796913154 6.99805574104378 2.36551734848396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.53085177230721 2.50483249007457 30.8704637791061 9.46203061660056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.85523665347421 7.85703183784581 302.326986409221 85.4491465250317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.199591409768 13.2276066763266 855.122072924687 237.377553216978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.06222467042815 2.02883418947303 20.5102856968707 6.59426355307371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.23895532769965 4.2135989657982 88.1596132741263 26.4607058846381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.63207397867373 8.61510943830183 367.41730148873 106.045522907283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.2397546343879 26.2447523913299 3397.17914694372 952.030549104892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 43.8197096746657 43.837982160657 9456.03972826263 2630.62927984274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax MeyerEstimator 0.0491980887584438 0.0598468575558529 0.00925850229873724 0.00838317006169016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.545963940468727 0.64000352554888 1.37699395336867 0.680307084962227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.19176056527002 1.27306811960367 6.65995004310623 2.37984415413112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.50774132874705 2.57397477617669 29.6383012276965 8.94736137499647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.80122158089967 7.83127790837807 287.464748099029 77.5174536637668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.0998190703426 13.0971727708558 810.708524625802 213.7269757927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.01328271417506 2.10075847178361 19.2509330880917 6.15816930384514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.16111953914047 4.25005947294189 82.3916811948018 23.8170436197727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.46591188122876 8.56653452415834 341.227903169216 93.8071125566861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 25.6855684642736 25.8615561129718 3139.17752953808 836.729685853481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 42.8749255997456 43.170655574534 8732.78173200173 2320.31361369563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax MeyerEstimator 0.155204224339588 0.117375183419078 0.0676061268027044 0.0368081506495463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.566272056923796 0.57906780937777 0.976276301303773 0.774262013709891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.11447147396603 1.14343582706352 4.18787306571697 2.64246077952457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.30018727951621 2.32868432631183 20.0873083677794 9.03562367123812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.52139658483507 7.53420180625111 238.050541673768 72.4545248694074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.9245583623788 12.9271244379759 714.975600784048 197.872266290981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.85559438019279 1.8773443535979 12.9309742226826 6.39547669853289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.9279734169905 3.93527667179414 63.0320635299236 23.1688730557917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.30846916502678 8.29107386026862 293.331333841584 88.7950739705868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.2475326462131 26.1489405121134 2986.91379070516 781.625039066318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.2554533096076 44.0826141445361 8510.27339114506 2163.19630827437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax MeyerEstimator 0.0314853280786511 0.0649600697649825 0.00303046958320948 0.0118950229729964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.516191319216721 0.581451331529976 1.02961161105119 0.677851240065027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.09328509282807 1.16049325514657 5.13730048331296 2.33049910257591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.33035748271793 2.38811220520642 24.6138528622917 8.61515028901359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.47017250395298 7.51113886304765 259.265638081088 74.2012986954164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.6491674525859 12.679413349778 745.66650923362 204.276885972437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.86146777853603 1.93056248336813 15.6531672273301 5.95705154452436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.93030871315587 3.99683588829764 71.6082893439064 22.8435937553216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.13788670264089 8.20422633470315 309.640523419914 89.7526367097012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 25.0615596932641 25.1341494709322 2945.97803317239 798.863960834152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 41.9912443740617 42.0415147891548 8260.78650946581 2202.00137608371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax MeyerEstimator 0.0915886538420327 0.0892165028329876 0.0238571269541116 0.0204823354224297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.531351512586042 0.565118943691756 0.97106333089496 0.68111722154091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.09343779118846 1.13014952190871 4.63217236979273 2.28271249530463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.31712147553987 2.34187252785043 22.5599387891922 8.18376471003702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.50876232799514 7.49404576297834 247.764490782913 69.3553096104664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.7681964320313 12.7210698813344 721.036468760767 190.748274303245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.83957170620512 1.89128907216374 14.1192849701529 5.6764457463731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.90297921479202 3.96239676976603 66.5049093133636 21.4411593628006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.14193950558505 8.21968169154056 294.478830736685 83.8270103226016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 25.2562231181535 25.4021229918556 2857.57580829768 744.841251928664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 42.3971474695298 42.5917010933169 8054.70388993625 2061.17755754072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax MeyerEstimator 0.0614312858816141 0.100466623664973 0.0112931376378089 0.0270616885097432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.543602833847186 0.580663267285092 0.952305195087408 0.725308053665466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.11125893101375 1.16362115622075 4.50225814775858 2.44823634456311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.3487315179349 2.41368744424891 22.1714122950083 8.67465952488423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.65923183223532 7.76008639947709 250.605704897661 72.6202243778236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.0637843915463 13.2016247666352 736.087393693235 199.453208711677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.88621298703589 1.91423556427882 14.1644278966069 5.94124964163361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.01719009820503 4.03377839937605 67.8373466490121 22.2744001762741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.42357704028056 8.41435282118485 304.87406406478 86.7503056882708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.2572390896354 26.1466688074556 2995.54230469613 770.28416947708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.1389538728945 43.917205507802 8472.29049511364 2136.56524359463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax MeyerEstimator 0.105922303250217 0.123301163571401 0.0309439019433272 0.0404152147825329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.588372724200669 0.590765058620994 1.05804509207729 0.776676232966425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.17554209935787 1.17843562252641 4.73117092353869 2.63945747847837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.43093612947015 2.4380828875692 22.7800679150007 9.2327580992275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.89718356056851 7.92432400440887 262.816753508387 76.2895405493479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.5098215679893 13.5550952579816 780.265936130155 209.389261547822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.93224692545583 1.92331203450009 14.2669522370929 6.33763476710948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.08401039819689 4.06564383673275 68.7318853483211 23.451976083913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.59118548846987 8.55559417287736 314.253128065955 90.8341942679826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.9447963754448 26.8337632928263 3140.89468922853 803.420749954993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 45.3450158071922 45.1545599751515 8906.10760948319 2225.20910413768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax MeyerEstimator 0.117789214833348 0.170421620760023 0.0396359351864902 0.0770923887611918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.578993090584785 0.592963638365368 1.00062414523404 0.81840797395677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.14788840044152 1.15871615365841 4.34117416658665 2.73898806579444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.34856162207214 2.36607931285993 20.595740298086 9.3735733453878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.65009639357724 7.69049037966855 244.636960104416 74.8762098665014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.1516297020833 13.2120988047599 736.85645985074 204.182919825213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.87525824869395 1.87151870713572 12.9384756320318 6.48249352932504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.94329387158916 3.92411573484982 62.8928440216324 23.3582972820338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.34099096461137 8.29149131386023 294.398240386803 89.2957035690908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.4312156051134 26.278261269659 3025.45146748646 788.347219737158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.6188370545225 44.370163891305 8647.76469284873 2191.49785037148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax MeyerEstimator 0.0700895001132983 0.0322810890870002 0.0133889108837584 0.00281735316176783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.678021153877974 0.398905966085288 1.49595191131116 0.302917632049837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.26279213411808 0.950040890339337 6.04877430506333 1.4445112378327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.46562784617396 2.1782129307366 25.6927952499614 6.56068733944746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.51952576921623 7.29688801795396 253.412210757066 64.8433510067882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.637422651493 12.452193717128 721.649229464084 183.612908448815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.01152459231522 1.70995229969563 16.7729330199596 4.33040144835464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.03613685789062 3.76571430156196 71.7586389715415 18.7920909919585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.18546866488583 7.94145815154316 301.954577294716 78.4020954034081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.9322766576519 24.7200595719939 2830.57811047779 725.338015780228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 41.7060373290128 41.5036466001732 7924.20555413306 2025.57826263435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax MeyerEstimator 0.274095466388409 0.0583896077517802 0.763430827251482 0.00646675507831898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.90283711948225 1.86174072493999 138.162850526978 582.427233015993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.80944878523485 3.91449648632109 582.024322307863 2679.07774826829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.80551741230805 8.11620833870601 3460.63320185396 11209.9376943091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.7979842887582 23.0954547506953 23344.1396693834 32338.0640248688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 37.7136173298755 37.2822993402558 66628.1856510483 51546.5743667848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.82862027391718 5.89231867766324 11826.950271359 708.844576643199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 13.411329742436 11.8556830209617 41754.3577842449 2616.88387983241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 25.2987430297963 23.7547584632742 55821.4548618848 11613.5449097891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 68.3086242392925 67.2150512164075 57760.9976085375 37957.5566302292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 106.994419479509 106.673641598185 95153.4604522648 56702.994417481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax MeyerEstimator 0.130196492799277 0.118868223434496 0.0510698485508294 0.0504744142430483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.87748336190234 1.8947073849186 103.986850939657 102.434566000892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.83362115014202 3.86409148600745 427.408698615452 391.555148881194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.87520794256601 7.79957622410576 2442.11528955439 1292.36807885315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 23.0247316987743 23.7153334127595 11335.9240338933 13308.8345482794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 38.1529700412182 38.2952380093815 34902.9502516951 19754.3742569477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.46186805792888 6.07076757233463 1456.27588664664 551.45592114519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 13.032278291476 12.3628546605228 5278.79316443513 2361.3344535122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 25.573801481887 24.7563051437823 15026.8223894083 8188.59590577639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 69.8863865140943 68.9873374087989 52073.4967867689 30213.2884990958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 106.683786849418 106.202358878133 93037.3550219851 48377.96976285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax MeyerEstimator 0.192640673557852 0.101591745957292 0.27569203414802 0.0272396343653931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.84550652086504 1.82160932025088 81.9104627309239 110.481072903652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.73433718263752 3.71597308186492 333.849497385837 458.266770102437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.58306616962038 7.65912712989101 1424.12356238288 2175.59561489986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 23.022119690562 22.8119843496492 13731.8610845835 10151.8981893606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 37.3598531883873 37.6687828843383 27183.3091191552 23751.4973325733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.09381889681936 6.22828305919229 745.151625979842 1885.83730828572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 12.282339753082 12.4464753676235 3052.19668032024 5054.69221403861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 24.4066395212917 24.387541358845 10389.5111640298 9216.53793802692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 68.0068249878561 67.9600964680372 46864.3338564761 34025.9066812191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 105.815479312352 105.278495798522 90406.8446923295 54930.5032463273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax MeyerEstimator 0.329315653383476 0.356513559268781 0.35347838697471 0.466723047624105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.81110129104058 1.80567449483039 314.797711688615 63.4800932937278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.65081962775176 3.60248504806844 1127.4800569299 265.621178448786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.58358605273905 7.33591423063125 5948.80529078544 1076.86683416586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.712091039409 22.5525798343761 20244.9682407689 9457.32837905391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 36.653533694972 37.9769118095059 18391.1594547576 29301.6336255966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.00308688111029 5.84811084968618 1308.13856246383 617.491245802468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 12.2046176109961 11.9910332823176 3698.36622857396 2482.1626022982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 24.3463042304286 24.3795501065544 10967.5101300503 10710.1779566029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 69.1772710655323 70.6139182762711 46713.8022700672 52676.4860860955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 111.056662475346 111.154096019171 118380.265843387 70627.0400439222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax MeyerEstimator 0.150308756705741 0.178002205950036 0.0956761701661149 0.0998953230671692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.80161620863044 1.77764921267954 150.466245532689 62.5232832772837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.67120532607715 3.60646553476688 506.202062909664 245.119154480956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.43979779844798 7.36638814012493 1466.98344512464 1079.96836311679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.6612969628253 22.3016558286494 9224.35533156883 7134.69612325248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 37.6968442005346 36.7391908483662 24245.4107846346 15697.8938645206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.90508439543251 5.89649075475424 925.767816381884 571.116952730526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 11.9487848458056 11.9858707827224 3373.52637115465 2271.4994583557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 23.8168571878719 24.2749443109051 10048.6324900363 11347.9611331725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 67.7134414812109 67.5635577878338 51663.4594107 34409.6987524444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 104.297585723664 105.042593933648 86123.8669105683 58832.4034100265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax MeyerEstimator 0.184523339149658 0.208852228982908 0.104356999598973 0.151856282892565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.65761237148566 1.75791813484671 77.681637627552 98.6989282469775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.40529465536319 3.61629331493831 315.234025358863 629.250946321913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.01407175796158 7.43611782358422 1207.73986460853 3122.75871806771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 21.2538986322848 22.1133018582828 6918.53015270687 10438.1774921052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 35.1212587125066 36.096183864851 14871.6441266351 16782.1819117851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.82156684418064 5.65609503682346 874.836280809329 519.772814346745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 11.9326680823067 11.4748124765837 3277.21496064195 1828.18369078989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 24.0438778126825 23.0639929124991 11839.8305044279 5991.24187557436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 68.3401415634945 66.5610741336878 52388.7962089743 28360.3333877831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 106.905249707013 105.173671809404 92988.2509098537 50815.4283327511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax MeyerEstimator 0.214802183980502 0.231736577095857 0.486527277853702 0.193041397966609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.72941605542178 1.72316832530876 98.5291832889066 61.5596561245541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.5341808256279 3.48509541062401 365.886007964838 237.306132599075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.25516983941051 7.09968065145837 1373.20162975335 852.977410163549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.2504037949972 21.6621484230851 10100.8202752388 5572.75396888316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 36.672205734989 35.8838858160833 20494.3142505528 11729.2499196356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.76865853564947 5.8314297463736 729.681207839364 894.93055244969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 11.8799298159479 11.8443819902324 3084.19652800468 2496.10575212201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 23.9547714122018 23.7898676124949 10757.5847578485 7248.34824412744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 68.9067388821632 69.0004005465528 49246.5329572174 35921.2493102692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 108.538769397905 108.465452679776 91728.3530744227 55028.593611246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax MeyerEstimator 0.292132702225075 0.288077405754752 0.262509709479857 0.298693508265653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.80607740216653 1.76333131653127 138.044055439663 54.8678841738612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.6136024701793 3.57703735645303 489.506982474186 228.083435065078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.37995950821487 7.34628495838875 1680.73688950114 861.221109832011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.397709742752 22.5212336141736 8736.23657919029 6018.66218185734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 37.2004612503551 37.5887693561946 18120.7450006291 16426.9767519052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.36389979619408 5.95904755714795 3759.78078590968 704.331796216236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 12.8466913061612 12.3983682895397 12258.4906466789 6373.67442402355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 25.7684118898403 24.2731499630903 37667.7435227516 6022.36370254467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 71.227222884486 70.3369443146106 59445.4308364265 32748.9063622421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 112.281335315019 111.202876228942 129609.126684047 56819.4517172753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax MeyerEstimator 0.371862551051726 0.368340919634837 0.404370814532267 0.517639486775296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.7816454253241 1.77796238450767 88.6534221164081 65.4331397016424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.55404742135196 3.52956727721154 331.062116530484 245.248380213848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.23422689525332 7.14105097340183 1204.42654158759 786.618258842798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.6791141666359 21.873201723655 21631.4719343025 5304.94758965568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 36.7516796139408 36.7712280923969 18547.157246406 19155.6571789041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.8385659496736 6.04992022418858 696.466882371004 1136.53554957833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 11.8895363280254 12.3016630142433 2523.1152291973 4126.31071900948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 24.1512579801894 24.9278352088421 8797.41261387519 15510.4531044243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 70.1136805673605 70.8994732930465 49869.041399394 35761.1000912715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 111.716308991203 112.173020882505 98506.125498622 58860.9985852819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax MeyerEstimator 0.184119248354059 0.0705220105562389 0.118564467587691 0.0184304195592688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.95657321179326 1.55931351777675 262.76541125788 59.7891193824154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.85215820501019 3.36760596987362 944.215625101642 250.269261301125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.58792208107221 7.12128019729757 2343.27406336549 1113.89440348388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.0163313093059 21.8342769578418 8852.78559281744 8949.5233506124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 35.9039359725924 35.8100800018072 18181.1255524876 16724.5267967434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.06106522177041 5.83008037686897 1986.53057025633 760.601336479792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 11.9214434069495 12.175552979243 4178.44664567269 4984.12581930011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 23.751162550784 24.0263096246063 11330.3689702589 9500.59234881559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 66.9292796267563 68.6775126149236 49227.6382411007 40344.1575325804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 104.637389241221 106.073498136528 90328.2336776841 61765.3745721965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax MeyerEstimator 0.341894935930987 0.342379673051457 1.13996160912111 0.937796656873604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.39678118358326 0.38160691441103 2.44409658955883 1.52544378358573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.446585449245513 0.433923887450855 3.2037817865894 2.23512934919806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.554042645625336 0.554122749832828 4.88259126363201 4.1165264285878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.02427965919255 1.00208027950807 14.1545343044978 10.8138756049836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.46690984005885 1.41824764282738 24.4639105037089 16.3607005877233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.502542038853733 0.492163162575302 3.97873830755566 2.9191939810129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.68381995691949 0.679030893297135 7.27546858389798 5.76026449468009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.05042806946676 1.02722023020982 14.1121478106504 10.1809401334787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.31604482332037 2.3335105709867 43.1436478584557 28.7000563564212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.35046368092962 3.38502920825733 74.7706219016443 42.9842587717984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax MeyerEstimator 0.804653661313299 0.794569728445568 8.24716693678201 5.43158169584439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.84900010299729 0.834772402537776 9.14828652138549 6.19375464229177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.89616241707865 0.880522129693979 10.0299834368353 7.00190151282327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.995873484031044 0.985847474162061 12.2915679037223 9.0547300360778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.38143852825183 1.40089072322182 20.6254489588522 16.9980604072046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.78438358256294 1.78542929464928 30.1024301421205 22.8690117855877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.973090946668599 0.959315675296591 12.1709144513232 8.60932812282313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.13212530468706 1.12781816499243 15.4029972011124 11.3540253869416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.46710832952982 1.44865996251178 22.1226434686428 16.345747453993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.64562655988404 2.62311787298434 52.1626285610586 34.3757876780632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.63650243021945 3.61332850921285 80.7105019652022 47.8448349153644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax MeyerEstimator 0.289050097584791 0.292537047243114 0.842259005125453 0.775292299361927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.359429820397559 0.369810907173414 1.92730373812192 1.7596078348118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.452468081320191 0.465906085352734 3.92383248312539 3.29085257369953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.620699256968377 0.644753174841932 7.74656794998447 6.34368162428854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.14809315310832 1.25581191066898 17.091766033052 17.2661948348846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.63610670431683 1.72958590825802 27.6038359639093 23.2149227341982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.558024265639653 0.539871315199712 5.88890123932892 4.0205378154211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.786294966190127 0.781413938944243 9.71602949249491 7.57511812223394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.22575564018214 1.2253138297027 18.7383666212485 13.779527666486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.627996731192 2.60690764749181 57.0734083883299 30.9956845407367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.75500667858913 3.69061565925353 92.5571183786079 44.1273344646253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax MeyerEstimator 0.341575765023318 0.354225855104874 2.71819034914279 3.50788159257022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.389247446934224 0.415830810610382 3.95795998862033 6.77605484242253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.4538476429605 0.480233675650607 5.72843383989183 9.75162534806915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.592104508338459 0.617955795193832 9.98329817024202 13.5465580614928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.13636638420813 1.11764901021683 36.8090689091907 21.0015034977813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.56214487702395 1.59924893265873 40.2104953450786 27.2417736645771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.522013877527308 0.546485137834133 5.57274663108036 8.70959599868364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.764691744604709 0.719859382218918 19.9197505877428 8.42436146464227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.17288801548496 1.09775742481054 27.3814093862146 12.8687107870929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.51470191004113 2.47042937814135 55.7028606530626 31.0150930306275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.57791184966943 3.52827917172544 86.6859659538355 44.5815145039125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax MeyerEstimator 0.492690368614656 0.492032141177497 1.849939866929 1.5465889812373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.541269462618178 0.534176191995556 2.8999166657091 2.3587264348817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.590514066321769 0.584981369425781 3.77063422080251 3.13318678135239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.698028748522518 0.671947030165825 6.04726090645087 4.13745476229423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.110934089446 1.09679103438594 14.4859649357881 10.1386709117531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.52850750311042 1.50123412675619 23.4201164839553 15.7100464626866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.652513662930327 0.663070246105404 5.03545550948012 4.3424504907585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.839271890852362 0.835806319073735 8.74767629690436 7.06783119479677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.19034596466185 1.17882484184927 15.6534745712052 11.8238033984628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.53173498352314 2.48199156813514 48.7719052384564 30.0006231499382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.61298816167516 3.59835589697518 82.0920536220998 45.7007567062815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax MeyerEstimator 0.237182787069033 0.237014736289912 0.795627034544352 0.601306373497832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.275924222803024 0.291703689063294 1.9938744887677 5.082610060738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.331047417650357 0.344873768960046 5.05759246942597 9.34993673939935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.465514371839572 0.452076235224588 20.2608659762337 12.6835510190162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.88898970000496 0.882673594469867 24.0666784772306 29.2061090678586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.27113322819552 1.26097353950207 30.9454170568978 29.5101455560408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.371266469334487 0.397579759055049 4.97921698439128 7.82644110880704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.517241049953727 0.582499711967787 5.68718158110029 21.9559345779047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.841328782010345 0.907803362854031 10.4828938161949 34.7946164710127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.97802884162123 1.95779055932324 46.4420130739872 32.9732652349341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 2.82606038934218 2.79018472347756 61.7571080611114 34.9487043662213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax MeyerEstimator 0.344173479066061 0.350059680802022 1.15936012718367 1.03676274532609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.370905279789207 0.372771991351242 1.38767887827322 1.24293789819544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.412405128326279 0.414982520380695 1.87996794683138 1.88491681339628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.505280904905812 0.508715741336977 3.26972749401682 3.18134905794198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.922914854384369 0.905218607722401 10.9290083448194 8.39073267303809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.32358900753727 1.32366520533961 18.4187517123602 14.1909679889177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.480895447184425 0.480278808479693 3.6321500564644 3.06925865574219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.658343858522431 0.642906136345011 6.76887278235851 5.01026507914773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.00296644870878 0.981986495889479 13.3617267199994 8.91257970239652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.23538675901892 2.28620758109047 40.1796298776427 27.5284195674927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.3049853013679 3.3444862847785 73.5001358407726 41.8828184465357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax MeyerEstimator 0.467518944310564 0.458037733279315 4.97184266108971 2.44091701784446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.532227606255997 0.500671880374432 9.85386124065436 2.87528290416779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.613220319494454 0.556129573844001 20.7651888501254 3.53924172891194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.716660657923822 0.711320949351686 11.6138089958112 23.5715944231111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.20585563219771 1.19697632986286 29.1978720436193 31.3881193967215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.64931397949448 1.62220092268201 42.610006560658 35.8914168097358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.68372685681403 0.670332240534523 11.8360670003628 7.47404551368211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.867816737492978 0.898595021940707 14.1305951181562 14.8664523167792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.24218460301967 1.27485783045515 25.6004213714255 25.0723444635683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.47522981882452 2.48634238545062 56.9651597929398 43.5031043348279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.46673389333751 3.46496929753777 87.2643275645306 53.6660600497779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax MeyerEstimator 0.176878363597659 0.176106471882833 0.489729949362279 0.444077900434343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.224657514734745 0.218123648277649 1.55011653223497 1.20192638907907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.274255911675502 0.265254618533779 2.25626207898988 1.85621162340757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.370128101422702 0.372876886573659 3.49474343109969 3.77471945727606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.757845681123008 0.778732773230594 9.15861013796923 8.74855993498485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.14012464346024 1.12139683183071 16.5760865244447 11.9217709111986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.316827862290897 0.318701855674468 2.28150403670409 2.1189679490024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.501935330062391 0.484090569143359 5.6196696920537 3.98743493180109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.819440821035141 0.810140148131985 10.1942745445583 7.98810849344844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.90680182727353 1.86797217063005 33.1661923892518 20.3564883891342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 2.74811500967886 2.73817403630825 55.0701159023325 31.9689591788889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax MeyerEstimator 0.197419603054967 0.196392239602042 0.732052911830187 0.610105171464664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.225006968071341 0.231435209572781 1.2278548756678 1.55767010307275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.276557644528464 0.268867024122728 2.24721550563211 1.64234331171364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.377186189047721 0.36331391961204 3.68919346733081 2.70529917136426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.76531468922419 0.777133801564966 9.08713657956067 8.15873990442582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.17609995875849 1.16641930358739 17.7326606974622 13.209519351945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.318848874949957 0.328899423942583 2.49688619070639 2.43186818275947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.485955946047669 0.497227858815098 5.14854997574569 4.93565271518508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.815462752901825 0.825738908535719 10.4707425384692 9.08699533083108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.97171094812092 2.02205510579883 36.236534385942 26.3394305055787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 2.95832585992233 2.94456682025766 65.9314316751261 38.5666775121836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax MeyerEstimator 0.433436315229354 0.420098739977546 3.95778174588691 2.56368098353752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.623619776804017 0.619728077396982 12.1756714140505 12.7724992945847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.864418099312555 0.854805324139096 23.0233672360523 21.3111307921186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.33725348102809 1.32597483610219 44.9259518183461 38.6183132846416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.06655263800775 3.0477064950074 135.51926067965 103.306757583216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.59266168233885 4.59831230027659 236.253578468864 164.026081096131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.15699107060845 1.18105706606451 33.5806064582905 37.4627745959164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.90023265000751 1.93109145127334 71.746976961525 66.2144170413834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.24865747797572 3.30497233591249 144.555663127083 117.149453821954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.68697909282314 7.84155202922821 482.918514825063 296.883626457225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.1068730095174 11.3253904592216 828.796911688905 433.86219119491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax MeyerEstimator 1.03445186391316 1.04236687540113 29.4742888906982 31.1880482533697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.23578995964606 1.21510950863914 43.4520603361188 37.9959235417561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.44725350511285 1.44450481977219 54.7572203876572 48.0278710386914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.8813771191008 1.86255810114095 76.607252030672 67.289620843784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.44101406530534 3.40969777000409 170.073640943817 144.220690391262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.85803403284974 4.82196926077676 261.873484371464 200.111467609661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.68733959054537 1.75275507610802 61.6977809937799 68.8308528746653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.35049064964293 2.42908595633247 97.3336996808143 103.763456880277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.58647621148124 3.74503840597328 163.739141404786 169.144947682852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.87956514376459 8.12721852739909 494.904043331862 348.292464187957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.3809120189327 11.6394179487819 822.465378348849 466.698812890341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax MeyerEstimator 0.437978780328754 0.439297188713827 3.88775288026324 3.54685338554592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.624662005963149 0.622393885122667 12.2858885559769 11.4076291062748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.840782134069904 0.832901556018473 21.4297184008277 17.7027382882271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.27873171815311 1.27886316373672 41.3466867091229 35.2048195364319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.93208581116335 3.09238782696928 124.953347258453 199.953992120302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.41485619493641 4.57717680129225 215.030744464384 241.987719734097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.11523265468766 1.09639498210475 36.1962706619063 33.557522880834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.80764524724594 1.78998092903741 73.6616724881421 63.3538582999168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.12851899350505 3.11845417142432 149.319142149111 123.51161434188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.3898846217871 7.44329922410637 445.455440188588 287.658018795961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.7843811565859 10.7972191980823 774.663500899201 399.828781137748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax MeyerEstimator 0.402485016679493 0.403468370097088 4.72916469996638 4.33343007534839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.604784192382087 0.616242538435595 11.227449746585 14.6701259934596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.850477068415538 0.864915129311157 22.2293276364577 29.7699624156982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.30722394460773 1.37080195563715 42.9498746235401 57.3584430577995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.01841392759081 3.11584490250626 141.871327901601 161.046230021279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.50551383073174 4.62526470961852 252.882963658654 226.710165754086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.09679995487393 1.12947410855732 30.733058922972 32.3977220996384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.82068654861523 1.86866285711093 65.6761480661755 70.0324212325885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.12543143753575 3.20660544106936 132.957063478714 147.685439100614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.49809225316991 7.37441972058608 479.60666285177 327.474113641721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.8087739853991 10.7575679073005 775.417891433136 425.980173792219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax MeyerEstimator 0.490579942748216 0.493412034560702 2.89342138525334 2.51949561460648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.648292746007468 0.655694429744085 8.35871541682437 8.27169880401552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.854767745653495 0.875037319307888 15.7785426790943 16.4441253847326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.29563878987233 1.31106975398486 34.8438708416972 32.6542855416718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.98720259081734 3.02283587923395 116.706333533704 99.2249019131001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.52462795139459 4.5351232951677 209.477418857398 152.550603222114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.13188685056554 1.12258067523243 28.6485616332916 24.5379031046638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.84560236512214 1.82008139121178 64.3576117951182 47.3334301765535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.2362132147195 3.14177333307671 137.191007017097 89.9802193160726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.72504660739772 7.72644638623293 458.306972242775 263.528426354381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.2572986718485 11.2369754063475 807.463363335931 391.867205956781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax MeyerEstimator 0.22006768440478 0.227036405688918 3.10198517026426 3.99870942248066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.508287846491128 0.533183784821176 59.4631331551606 67.7671342080123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.833319330684122 0.778738937318535 134.019440132372 52.5080927440601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.29703740923278 1.37105437728038 133.969222695927 158.732090440245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.94089240227502 3.05100725341673 375.871421644659 335.586176192688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.28942031012012 4.33688048478468 580.02437636489 444.261448943777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.13197844137429 1.07172064147352 122.588653895356 96.6639414365734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.79755390588544 1.79559756841928 186.592995115718 187.368563213978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.04111045837831 3.01715885783167 377.432930973913 399.133884028972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.42362941694799 6.56895430631637 565.458603563231 444.085235768484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 9.06056852536224 9.18222478205719 743.231660230986 542.298062921311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax MeyerEstimator 0.407074593807472 0.406990206320603 2.83666002609908 2.45633556860381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.591617955887485 0.61332661733557 10.667780153835 13.1664146559666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.842642778758548 0.8580905087409 23.2291682078625 23.8933187936981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.31491251577033 1.32445776576387 44.7394387628978 42.7027362498854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.01281234676816 3.01818415662906 134.923044530054 107.329897471868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.4908978723205 4.54726566442721 226.640962766069 171.129473914603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.16034582639071 1.15493427208453 40.0660377854871 36.3632768097298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.90087090519544 1.9002299682657 80.1302185403367 65.0067781885575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.21535430096869 3.27658964667858 148.620509968915 124.5490506164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.45295786612888 7.53651435380155 454.251675667741 286.031558545331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.8782920145013 10.9023367398974 793.55274089115 414.546781769224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax MeyerEstimator 0.448785073923255 0.450575007354733 3.94701181256137 4.10732129038155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.654354367942695 0.652646215225247 12.761074907676 11.4279033269597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.88430224994598 0.884331197625977 21.9549149277535 19.3507895725997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.35339203648984 1.35153505091407 46.2473023268978 36.640247576035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.11986286471541 3.02049548097164 176.174858598984 109.254457563416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.63251493372234 4.51544822383144 283.819675007916 178.016769204496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.20159636229107 1.21805842214178 38.0143287633865 39.822297905334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.92277748499249 1.97277658017435 75.0259796495952 81.0093430729752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.25021935664763 3.28103972316648 155.844561031212 139.467263669122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.53560238026648 7.55488630747842 504.98065507424 335.633986795888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.8813611979268 10.8646567588504 832.403749878544 472.71419396925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax MeyerEstimator 0.17067147218238 0.167913583049296 1.7422462603261 1.28441284448484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.346110017522609 0.356870672447375 8.0890570592217 9.09589848867168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.562731159080768 0.56780152009617 14.6130022431471 15.9214254059803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.96068439199496 0.958938175319657 30.9026927371988 27.8743650943466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.33869869887674 2.35578606985369 93.7987821305593 78.3111469057702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.53634031033171 3.59522950051501 159.406307529698 128.343397287946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.814388031443166 0.804987621967732 25.1323550957046 24.3750840306742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.39972808884313 1.40809061891136 46.3071970082283 44.5837199430083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.52130383572295 2.49285367331624 105.813079071399 81.4744367347338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.03083615982825 5.99069446285468 340.889951983442 210.684394679895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 8.72178214233314 8.74723785660749 566.361764140275 311.206379070871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax MeyerEstimator 0.232629743677225 0.234982295458848 2.01289995825525 2.07361914834511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.401920518816313 0.396047414558091 9.21835716629197 7.8759757145091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.616013608939541 0.608098396689465 18.4985969990196 17.6702693079232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.04105268545722 1.00257591346795 40.7342188815323 31.7366714069197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.46447177667823 2.4485621422391 113.268771935058 90.9019646667448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.69789004052577 3.67269554432137 187.242489761941 136.162542701781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.883395647987429 0.839990734204904 34.7383650748744 24.4566929396615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.48720024119742 1.45401720567903 62.5040689063569 48.6879835107006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.57335911437899 2.52829928150938 118.331335096993 88.148623328386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.12796841365437 6.04946838573364 361.05646494387 223.520756146111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 8.9710637198432 8.90121901317071 610.952670396484 333.706908893934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax MeyerEstimator 0.584130665611895 0.569774767779975 10.4296505929463 7.14880767269792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.57730184426253 1.52589753569834 134.453136621018 127.006751621054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.67376961528526 2.77311713345147 240.283688626565 324.285293596755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.95955343473803 4.9218673411987 664.654366222151 615.497660980816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.3545255683052 12.4614963004431 2107.81139186413 1707.57842526799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.8427738256622 18.9777548200137 3748.97606809948 2698.97940348591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 3.95111194335704 3.91309904444465 440.268377725637 377.51626854516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.23225640326317 7.15429915652861 1014.62677078387 788.851828947839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 12.9134529470785 12.9979209260591 2175.59284135805 1690.68218353109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 31.2020097174489 31.3794820601695 7730.1154008819 4552.23017208167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 45.265849293986 45.5367385409365 13516.3064557285 6652.41116716032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax MeyerEstimator 1.23436105929894 0.955951919226338 46.0669144280906 29.1041857936011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 2.15530109091779 1.89644693544166 192.988006953715 158.639554464602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.26048773749068 2.97377406048902 416.464848846475 306.515927992416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.36970127380834 5.10615613646075 977.820920074467 585.845861908013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.7956372737731 12.5002986291454 2425.22867845101 1614.41954496251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 19.3261563149461 18.9421391617274 3990.91131413973 2570.22383489131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.39990939349767 4.28235323170621 523.036457024163 443.074899901703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.61440223167387 7.42941948762427 1108.61876850893 831.54623290369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.4667554786195 13.1819940101094 2655.76508919087 1660.86762749379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 32.3163395300154 32.124537062549 8073.22487390093 4377.10811245643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 47.2424826997191 46.8664404778532 14039.5111337566 6505.14273408715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax MeyerEstimator 0.650290272884191 0.648137531595791 208.398701914949 52.8034378855723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.95075391339825 2.08397909039218 252.682648814762 936.646341432213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.57610803826706 3.52975213877954 689.207370631471 1238.33077266866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 6.17137345984766 6.33614845570002 1131.97683025129 1974.63048375366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 15.0810785676052 15.455070098532 3477.18499512466 3941.20314610873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 22.8747302786692 22.9561364512887 6292.95399239683 5386.59354600377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.28719693488058 5.09666285191031 1121.37025512169 1204.81291633284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 9.17926355476717 9.2567047015633 1864.51037983037 2144.27570359987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 16.0897693132741 16.4935044756659 3962.49047284008 3743.21504126749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 37.9506607277358 37.7384740379224 13165.8374917415 7603.61217805591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 54.1949612754166 53.6377008083552 21344.1251712364 10526.0474546339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax MeyerEstimator 0.560465880379723 0.802534698718385 33.9035455842138 756.493304336154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.92482425621215 2.15797942914766 456.561423224957 1784.00672902333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.43558658952419 3.62551007282457 1183.88681697074 2772.15625507238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 6.27106025015792 6.28426876228304 2454.91299021767 5284.88410002933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 14.6722099443798 15.2237912154436 4248.96705185994 7181.93112031025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 22.167073854104 22.29056410257 7606.25358641312 7498.13189867702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.59139091992771 4.7702767814034 7149.39359353256 857.313258145774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 9.87122273884981 8.84366752586798 13058.8843298924 1997.64052192479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 15.8880069985952 16.2719437067263 7914.19001211393 8112.75450993729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 35.3978248185798 36.1295389359653 13383.8594221825 9424.33376712562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 49.8217315110835 51.1574514879634 19678.0056881252 12127.8365493875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax MeyerEstimator 0.71692176529864 0.758132674446451 19.7841355898877 15.4172104306125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.66132680907688 1.7394967813892 136.956044763399 137.445643696792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.82854913965109 2.9134766051793 293.956106340155 310.928694600075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.02292975684496 5.13922252208374 638.331468265301 624.689994483457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.5871157820985 12.9043479397613 2108.36285883495 1798.82962989507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 19.0896067042862 19.4552600971494 3688.81239931128 2841.26418903029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.39227468635013 4.39741251144859 618.29591745759 519.688426977021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.81626432570931 7.79832943937146 1280.11381720459 973.333556065384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.7150243771692 13.6848390460257 2533.29107336764 1818.3639068344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 32.0033140657718 31.8554480537024 7929.72689829083 4308.66973995422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 46.0107310710593 46.1286822832858 13519.4210455719 6335.94074004592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax MeyerEstimator 0.429924296630002 0.479482459530768 19.951608643036 45.4426902057399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.81771345589421 1.80880525632251 1050.52042574884 545.15074482881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.13228600391818 3.32017159872041 1706.10089443563 1761.12026263274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.51262748824403 5.96024566151953 2498.45202706845 3761.71867564623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 13.226530955062 13.6538113312825 5987.58523072919 6785.09979480818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 19.6436716703385 20.0854175016482 9386.01964667279 9136.03642667726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.76431160886949 4.77354960366204 2278.40480809769 2140.5441543164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 8.54975056192033 8.21714001323458 4316.91229957932 3535.2741684046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 14.8780730589004 14.1462812241977 7787.68139420781 5411.9343200919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 31.9957334289217 31.2436579138021 15280.7078743005 10099.7286998896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 43.2683688792353 42.8607096141341 17486.2780218802 10407.025418345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax MeyerEstimator 0.636913171381005 0.613509526002654 23.746297884649 15.4863496749809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.62844434210919 1.59685381203325 196.570405673567 169.065967194611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.82998314759512 2.69548330959652 399.766456879281 302.739283690366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.8948210823681 4.80852128308329 689.528533209895 557.282427616749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.1686641920487 12.0496291605189 2160.91219123196 1573.01766451035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.3012222839482 18.353443149616 3734.31333223067 2505.33087027592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.00662921717986 3.97494687912101 510.569378088972 477.728124455462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.12657614868882 7.19854820889306 1047.90113035146 964.507529078643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 12.5623810030028 12.8077818935258 2165.36840280618 1769.51339313932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 30.147783733449 30.383220854221 7279.19141010463 4392.24308403439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.1161738065604 44.0503151275395 12898.5783621074 6366.53384192656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax MeyerEstimator 0.650677175119071 0.632022704281083 22.9101202556052 29.8214746899927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.72069588872511 1.61263661753309 300.173197910558 204.25966584413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.80448693547176 2.79129484369471 511.898386801665 544.131118838489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.8363599125678 4.89908808133268 829.709687249364 1070.04380996639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.0763164801542 12.1394716084532 2683.69281459177 3113.02737320267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.2837015918037 18.1216588516322 4656.18504630816 3601.50422899648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.11811242347651 3.98344528611389 729.350000970576 748.422767878046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.24242203200179 7.14941151230689 1518.22740523564 1403.60240225538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 12.9510794790685 12.6423813089189 3454.77372195717 2403.91619346248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 30.2421355982727 30.2036516290354 8473.3972729581 5950.61779604393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 43.8374306213578 43.6255812088229 13957.0536685319 7623.87021774825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax MeyerEstimator 0.372466918513004 0.335953498066261 8.27722826001877 12.8542234459367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.30056186289818 1.18521230991778 151.972970585779 117.675579085636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.28220962127267 2.15305047643182 325.556528545024 231.396645175975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.02822446947194 3.90164456233191 612.871543494829 476.173511741502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 9.90674688148868 9.86286319935879 1703.36035505424 1341.98805909328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 14.9634372823459 14.9426146209986 2891.50447195559 2086.02543507035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 3.22881175629684 3.0912111380048 409.182860954551 384.728872891671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 5.76833823964909 5.60139329207 837.498775376782 704.995776104795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 10.3257120958556 10.0606453165436 1784.88684443074 1313.95501331818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.8837668378945 24.4077370519449 5731.07351154772 3356.94946968935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 36.2939609993164 35.5288915100908 9767.67026680689 4837.65925277699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax MeyerEstimator 0.40176399627314 0.417177947568228 14.7411455543613 18.9234281992891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.30901848738012 1.2870682237166 164.484740136148 145.001001348975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.29740419867712 2.24292800976589 324.204627570526 248.862377933984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.05884406334231 4.06479377231773 587.04984824072 502.735379463041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 10.2272943844245 10.1771724434228 1815.78093940787 1373.93344097947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 15.5072980294172 15.4402326962399 3118.82923950285 2147.95374158851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 3.29294428196422 3.37412788924634 424.320895993871 505.567490976802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 5.97680142536775 6.07321392451795 897.075231161963 919.400674193713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 10.8426503915638 10.6314035331531 1980.30866433353 1514.42270679253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 25.9545370607243 25.6480275314325 6245.00997251912 3870.20426700759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 37.5433447217912 37.5256629228423 10465.2592125295 5731.59568871335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax MeyerEstimator 0.247637992208133 0.25357397619746 0.375779686212004 0.665045312400517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.250618491509153 0.254490017085212 0.371090648944634 0.569011664335907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.256446589826236 0.2587958042455 0.376275689955448 0.526576868498054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.275088557268069 0.275668943650999 0.407742933641655 0.512428291669802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.398672973587477 0.398846274112277 0.74314735825736 0.768074966225847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.558845231050762 0.558530866396154 1.42853574111334 1.26095201276815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.265776293927399 0.269667744998875 0.446495816654046 0.677322397659913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.306351141924127 0.309476988808208 0.615643463790428 0.867711543200703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.416623186264928 0.413805540762976 1.11334715606042 0.945494981219813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.967198343820384 0.958619071235602 4.5908316984873 2.5474603524319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.58180815226479 1.56691016757443 11.948295525756 5.88521586791556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax MeyerEstimator 0.261875866229438 0.223289604994872 0.54518791722429 0.305526562442358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.264799264616279 0.227066895228058 0.546389731185874 0.309567674290842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.272027962656357 0.234702886310816 0.55295867616179 0.316245202438909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.292713585822137 0.255617785694971 0.579108897950547 0.335928823653927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.402123829544906 0.375828724301534 0.821109909659437 0.487718258182002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.536284661438036 0.529232420691131 1.30888059574217 0.758333205624749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.28387798839861 0.246168706781731 0.595932792306458 0.314667466355947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.322935355393608 0.289723442717326 0.691859381531346 0.348698346516214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.421879943660952 0.396042582725033 1.01458878800584 0.469586496064546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.972380974028977 0.944696680925649 4.40473045257331 1.88044758270815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.58750530719676 1.61954878807367 11.6715081769479 6.298670899831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax MeyerEstimator 0.269962484707042 0.250078224323612 0.421370697855462 0.319218990443254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.271745048122132 0.252307457632006 0.424269468030095 0.320484283440215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.276506028536038 0.257156309054433 0.43202520636399 0.324809634404869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.292088706808936 0.273753597369577 0.460905586851307 0.342526087661913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.402923967354592 0.393482180002761 0.766143596423044 0.531326615924059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.557743291893358 0.553364871150749 1.40685565373179 0.887934442027015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.285556049225487 0.265622794160914 0.469295302456647 0.337487296634611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.320742861846047 0.298256107576405 0.564377668521861 0.382223723517492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.420925819598483 0.398001345910074 0.906035631805098 0.55114785838907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.982332341794632 0.950180239832023 4.72005522012266 2.20375547171522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.62735373911136 1.58309387959438 13.0565723057263 5.49973484808176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax MeyerEstimator 0.0763378476655526 0.0855555660125618 0.0410724338289714 0.0774500030814826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0809109691425158 0.0896626566816067 0.0424861916367671 0.0786464845391806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0915551164361236 0.100079572524394 0.0476796701581131 0.0830913637798653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.123638023025226 0.13177776809176 0.0704832948335146 0.10099968713395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.291418375211321 0.297872547260536 0.362252702545953 0.283717504951813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.478634968686644 0.481203702788444 1.03151536979961 0.640949786852431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.11182447298041 0.120074566421868 0.0631984116337063 0.104919452486838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.174704476099592 0.17823392083686 0.135295508666248 0.158363021014779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.317491016675978 0.31735390861957 0.45674205151537 0.339614230627623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.949490909425281 0.942066438837197 4.5087386465305 2.00902918907788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.61848144480034 1.60378669193899 13.6066291246374 5.18277606666807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax MeyerEstimator 0.17628794469521 0.176092305643233 0.133014050590179 0.167820041760308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.178892656253102 0.179583204126204 0.135207983610635 0.170603250584731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.185288836622061 0.188048319429446 0.140633360935702 0.176609346230049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.204415131322033 0.2112703645095 0.16015820065976 0.195364959080484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.32123574245774 0.338426189281773 0.365421803927143 0.348083041136551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.466553179025663 0.49321516651519 0.804483475706299 0.615315098993793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.19641209102678 0.202384220657951 0.14957989762289 0.187457520154308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.237489901368764 0.248631004538117 0.199482929540479 0.233492603388892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.346486502780593 0.361499846133857 0.414993914582522 0.386975370251682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.899754874821718 0.915688459226787 3.26120162737951 1.80673301885181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.51073671857482 1.53013130306915 9.82069055214334 4.60527094976101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax MeyerEstimator 0.0324239975120514 0.0325438886566561 0.00632220852630228 0.00902820992087849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0384470339701805 0.0407847763995862 0.00726852452429916 0.00978833704624395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0520901998189743 0.0561734707349861 0.0117398077592149 0.0129889557579159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0891721879020318 0.0939467340653391 0.0334075771026475 0.0263013921203287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.268659912918834 0.267495677611925 0.335628060065176 0.172508976583465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.462078589863441 0.454042464514125 1.03422388914759 0.469345203465854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0751041125362345 0.0775100270468735 0.0286987874868511 0.0201776120907275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.143327308272556 0.141629924794261 0.108631362254689 0.0525244608433523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.294151107810923 0.284967616610099 0.469106905133645 0.184994446862104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.930394761363568 0.899545227748401 4.76714846896396 1.57399220541667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.56589683433037 1.52373972735912 13.0423029501759 4.25832705804178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax MeyerEstimator 0.350297429642273 0.346439570409243 0.675441454690983 0.640562230927871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.352513355161272 0.348425371950544 0.679191170632586 0.643157771199991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.358161214214851 0.35305819935433 0.690882449660379 0.648720710349905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.375792089989695 0.369141048766722 0.739455747509007 0.673591827415338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.497630319172455 0.493683462553011 1.34384401865445 1.07684360280442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.64582365449495 0.662238343216537 1.86246049818013 2.04848480167279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.364280440205358 0.359111842593469 0.696524066064952 0.664421635139297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.395783361304347 0.393534272529173 0.776248204217431 0.735226977389138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.490182562033466 0.499576756483776 1.09586507624144 0.987937201234058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.02249671946403 1.08074935941361 4.55045053819462 3.54971474879698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.63672950413303 1.71860587637573 12.1021696729593 7.31979739169039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax MeyerEstimator 0.391671457851437 0.41989496716861 0.729147629969727 1.04550176770784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.393297474671561 0.423046732786039 0.735674901475413 1.08659100045874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.39785482736807 0.428425552155571 0.748850517196674 1.12967722145853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.413620983632822 0.443569004800947 0.791829910130357 1.22542815912426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.523105019425995 0.555199262294759 1.14586271591173 1.63715686194686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.670188128457451 0.707470425002432 1.82428665021897 2.18206733438292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.407241563150127 0.441404918287834 0.773397165279278 1.41526777837279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.439935376119775 0.478488530419151 0.865966793127626 1.7035201718698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.531549362014398 0.576774981166349 1.17741723564115 2.07117779446294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.03420107752065 1.10417431119596 4.38391455245692 3.82711914389239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.63823113008985 1.72264015535505 11.5390735981219 7.07044971133549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax MeyerEstimator 0.416489101903787 0.437315825922904 0.971441532952163 0.919612537818383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.417525260540553 0.437117424355237 0.969190403434973 0.915554859795781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.421043914180589 0.439651413001096 0.971812306622099 0.916416071338684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.432250961688847 0.44812403552012 0.989899908333716 0.92576758829042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.524133451496235 0.52124087232989 1.2444081828574 1.06935994633034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.649819212630107 0.644837293405013 1.76846090533056 1.37794386499944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.433732924859298 0.454850447609327 1.01006312375583 0.956531241577843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.463032390643367 0.486177887994715 1.08907730658123 1.01629147127293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.546433994458051 0.571997781747412 1.37502619877728 1.19418357825375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.01762297869423 1.05014039524757 4.35922221764947 2.73120780664721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.59280157136604 1.61894188222348 11.0359746012198 5.61695827810189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax MeyerEstimator 0.0928281674870353 0.0813786004841837 0.296598023516177 0.0960254707341897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.116790078772652 0.100783747336952 1.25188584837382 0.684980528059533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.126617066708724 0.111231615381426 1.28052480916663 0.697805860919959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.154240225268059 0.139011134703981 1.31482851977737 0.713738764584227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.300212298611211 0.285685730583596 1.5885040829244 0.853217755182066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.463502931935634 0.450554961111464 2.15977998460168 1.1300973186009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.130338445585725 0.117565476496856 0.976939228396307 0.26906632328272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.177278743206555 0.167952830385 1.03133243039095 0.306379607323026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.291479465653379 0.285572801874618 1.25725346892202 0.447405432674027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.808631446340158 0.817513800045564 4.00723817293478 1.9369906785146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.35548801377498 1.38710388092201 9.86779944702576 4.91296113219492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax MeyerEstimator 0.236256898487712 0.207958137502697 0.386885805118044 0.259638326178983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.25004620163711 0.222607294779735 0.403572012628495 0.272695585224501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.281956109643184 0.257986004724484 0.456861484305508 0.311120166684455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.372047693559353 0.355172223542928 0.673442342496974 0.453092826366027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.858782643884409 0.859578842875205 3.29089628951741 1.80571444742971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.41759081150455 1.4240165225807 9.26159129056849 4.36461331577264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.332004238603137 0.315058762844434 0.571331607994851 0.398760146190348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.501193228998664 0.498985978917424 1.16076569949022 0.773234852575036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.911387120445814 0.920717211629516 3.81986613888014 2.16954809829648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.80007148976611 2.82428916751974 37.9969651804267 16.3596417433922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.79364511702395 4.82462758295849 112.35830117154 43.9287303418187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax MeyerEstimator 0.253066718298574 0.230379361716367 0.464497486511788 0.322536950590738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.268193211267046 0.248527192049344 0.481088623738007 0.33599300920662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.300797018536914 0.286515027064604 0.531852206373928 0.371541393960097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.387353572704388 0.385104548760012 0.730068984220086 0.497775040553401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.851159971945083 0.874748934872196 3.08175164843044 1.65694492077342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.3866355665831 1.42303095078334 8.34716972069646 3.81399528090108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.350565361829637 0.346647001606005 0.663035475603882 0.432538078138788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.515606297930461 0.527999206464555 1.23284348193038 0.723447392205504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.911366039524542 0.942654750479744 3.70369187994812 1.80067645045432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.75048253146342 2.7985919983284 34.7943178254399 12.5048043356001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.69307427740067 4.74115173785156 102.020556488774 33.1814887405291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax MeyerEstimator 0.208183744965265 0.196413963401891 0.237045771841864 0.202815253470185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.227260286198291 0.213874301288052 0.255474207657237 0.212843608598572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.268205845730852 0.251005506472741 0.30784846866962 0.244666128578698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.371682369506006 0.349525173299245 0.5136989873514 0.363748693184833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.869532241965162 0.856746843763839 2.94202357332795 1.525861900028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.42344466742412 1.41744714699469 8.41141428481169 3.70955769500025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.330770080129267 0.313243918333008 0.429982693204641 0.332478787538892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.521876804790865 0.50180780345104 1.01812143285361 0.663743911562531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.946567929198812 0.930388930001114 3.6181976912538 1.88899676410081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.84010210754576 2.84711517205 36.5739112950292 14.2865901594217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.82635652396902 4.84178471364933 107.923171154806 38.2755700717334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax MeyerEstimator 0.219609630525191 0.262176008460924 0.257882071846611 0.42829971327994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.233956587049435 0.275047440114873 0.274894523466276 0.440464141802762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.269146897134592 0.306814817566906 0.330712764916743 0.478477653092555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.367715382562132 0.401193778741108 0.55895531489294 0.630935122311289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.888282184298338 0.927977616788271 3.3661190606038 2.20132103691368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.47970741614946 1.53023900509569 9.79828896545743 5.19186433838123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.325642613816521 0.365503207494904 0.454821631245935 0.561311403431496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.517948598598981 0.547980903559822 1.10710178010555 0.961897538320231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.966497792033794 0.991108327821957 4.06756648924457 2.52354811473492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.9796697286502 3.0179256318247 42.4284583204853 18.5060182308956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.08954978900485 5.13742890279562 126.041037949166 49.5140815658878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax MeyerEstimator 0.270857762190659 0.273235443610175 0.775758334541944 0.587872226909319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.282281392382364 0.288513860260729 0.495240854964907 0.547909130265882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.313164626953874 0.325778617957782 0.518294148193399 0.589680287803334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.401791671454066 0.429421227214458 0.714436501400249 0.844752488483625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.858546395401205 0.933803098782981 2.98107090049972 2.88983524339844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.38543053899757 1.47414748658921 8.06271456806777 5.6629197078524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.371115222964633 0.391806471273772 0.697620554336945 1.08803131834677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.542797925650052 0.580894727197327 1.47069188608578 1.89909102011949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.93688425108106 0.995026080897003 4.21097436073186 3.38202157814106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.73651614228616 2.8192445623574 34.7720039072508 16.7635688556038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.64913874857021 4.73408979931046 101.006336674171 41.0554149612573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax MeyerEstimator 0.123922626183764 0.142086391311447 0.118589603307768 0.135643329411852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.144762428673416 0.161851040704802 0.137934735569183 0.150573756664629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.187993446361975 0.203183836235059 0.193754384219306 0.191770120566735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.298985473562866 0.309702087923335 0.427334747741077 0.346733827009786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.832451882898398 0.838000748053527 3.37653037167792 1.87062060609383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.40675215306127 1.41328419020124 9.96689376614905 4.78068731887343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.253139922230942 0.269099606409683 0.322399952223376 0.281195212126851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.450341672978987 0.466264467801695 0.977625072014646 0.678451216356875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.889064323308981 0.906356079011722 3.92635999744802 2.18560453053808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.7832473236425 2.80729361842198 40.0836109899958 17.280084399492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.73679970528665 4.76098261666171 116.214466106255 46.2491866389366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax MeyerEstimator 0.113541523337507 0.0817476083009283 0.102671498573588 0.0293701887877229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.138062739184579 0.112175325236234 0.123502272729818 0.0429420951537365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.186903205583854 0.170094662149481 0.19145661721709 0.0813487353175407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.313536227084156 0.309077211330788 0.491006133048019 0.226155981873187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.923650456839575 0.924736857892744 4.26960415164873 1.71015236637915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.56845857364189 1.570471328705 12.4651230703492 4.69308175170351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.255949006986661 0.25260131559701 0.325949960155889 0.162899307482182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.47786797883809 0.486472608533109 1.1111898531125 0.536549608156058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.969032043165441 0.984933214009192 4.65235237033527 2.01738798923895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.04921494666557 3.08868258071643 47.0064166502504 17.7381152733977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.17664777442921 5.2333667034381 135.812579179941 48.4652096090246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax MeyerEstimator 0.0864156208674571 0.0864301289999534 0.0366765651693921 0.0280845783105068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.104587426800865 0.109170947887674 0.0466034696467075 0.038570864107668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.145474607855726 0.155235024634768 0.0810402202048012 0.0662311734214212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.250401713674034 0.267545944940875 0.235651674020899 0.1643170648217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.746733226217867 0.774110052380165 2.32549086220211 1.05010296595177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.28643715728291 1.31451538733982 7.16793804776318 2.71649422101354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.210877960170164 0.230025422483947 0.16864007852462 0.126467386858434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.401011299103397 0.432216253508259 0.639788762551557 0.379866504593443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.825763691399679 0.860687528310918 2.90223610453728 1.29563717127462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.66491285024528 2.68565457589545 31.9023166443133 10.4913937369101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.54425818603034 4.55458659593562 93.2743630209066 28.3196371973286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax MeyerEstimator 0.366368439227311 0.35505802904367 1.3761740816332 0.919316257622248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.375887259147066 0.364724906056209 0.964988892260638 0.848812714886538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.404718774595411 0.392319474658965 0.929049624250555 0.873526097435329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.488774038646447 0.475008510575538 1.09635650784772 1.01995109477421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.947251129055335 0.926520603440674 3.59583981921494 2.42737485773676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.47659269088488 1.44428067675772 9.26771665076587 5.09606470826803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.459730383229238 0.44422882245015 1.49835068584409 2.07032230350076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.62599893897922 0.600315198167619 2.51585982798706 1.86828400144285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.01355502413296 0.979164112240556 5.35787629084995 3.13786563816796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.79519752270732 2.74710694183815 35.5008364017622 15.7256342827631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.70753329010485 4.65012288351644 102.296791917912 39.3863024278485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax MeyerEstimator 0.0487592991864207 0.046900643256742 0.015760979409525 0.00750075614702655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0812553833021146 0.086800599127574 0.0326112157695589 0.0206854347258084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.139232881142932 0.151711076361941 0.0926172943980652 0.0559837593240196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.277262816618732 0.293123335100557 0.375724551906103 0.188851612795374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.882128882666944 0.899231589753627 3.93295639043954 1.58327830711805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.50412783800188 1.52430972832304 11.5284387496252 4.39898355952421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.218278327333732 0.233226487086734 0.237171833134908 0.126997351563036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.446682009095942 0.465741680346549 1.01201378610715 0.465316463429004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.924030007027975 0.947466353099869 4.38307542071511 1.79654486931638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.88432957481906 2.92867172767049 42.684354296542 15.6312213476095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.86747154895969 4.93320718242717 121.369557026241 42.3420720669453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax MeyerEstimator 0.308630223533954 0.296391827390521 0.360130978210462 0.316602909099464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.420293051451082 0.424839089744894 0.675241691861268 0.558663816933077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.634513686056456 0.660183315670143 1.6380950132996 1.21777602733683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.16686834984361 1.20829402463035 6.0461111026847 3.62323201661977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.60360097893799 3.63666269326857 63.5964457751485 27.0892176915655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.15483044271615 6.17942388814208 189.017914230824 72.5687709480295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.950622767561385 0.987031397859562 3.94170075239654 2.58236451348421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.88192972360949 1.93532506369252 16.8521737802898 8.88470748370954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.87606092318185 3.95345838981209 75.1360428115138 33.3291290980072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.2032887631611 12.3642511479343 757.01604355869 285.98508713812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.600298728188 20.848501356659 2141.24054465135 772.530258298877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax MeyerEstimator 0.535109812646932 0.813327891227994 0.967298095904849 3.29280286330941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.607308555226591 0.88335006112278 1.2025523985146 3.48785211625044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.773180888025714 1.04304827619475 1.9381306644184 4.09750542734712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.22295541333969 1.47114187100478 5.23603685634553 6.3531072523635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.4686491304815 3.68822117379924 50.8493084273708 27.9361202503995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.92438788930155 6.14920303100961 156.626632269 68.7016255405792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.05656283925065 1.32166133065274 3.88278386387676 5.56923072314819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.90478689341845 2.15014711038849 14.2025484090662 11.3670042268036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.81569643858637 4.04428093768724 63.0434355184057 32.6604483077569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.0981931616561 12.3512687386722 679.602720843376 242.990584872181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.5975060650235 20.8452447595292 1984.63650611515 647.182173684586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax MeyerEstimator 0.264330666838056 0.309150143065342 0.257216585544203 0.151926898882255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.397342140132438 0.402219474299704 0.640372342273637 0.291326015419291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.6571883619367 0.630665986338597 1.86458819917189 0.675009876755983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.26492118020219 1.18914914692832 7.22594365656671 2.15630143549858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.88563281254247 3.63149207913692 69.672350681513 17.6855628669721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.54024526095848 6.10630486478325 198.134839164715 48.467589865664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.991438930540059 1.03262474646951 4.63947805596756 1.71401674830327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.01867988405147 2.07564970594428 19.5003899164117 6.38837944352253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.1241938278448 4.21196531872055 81.7768262187722 24.9177017482871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.5877292055761 12.8377837096207 756.09558305254 219.004233002598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.9906924171375 21.5145384586027 2073.96806552829 601.399545226311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax MeyerEstimator 0.327409649721435 0.420722432869851 0.314580212543553 0.901129719482656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.440537144224625 0.510695402223819 0.561281530932459 1.20236053899345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.658066040406579 0.716271086313274 1.38219222272239 1.99388967404707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.20366173347621 1.24181920714019 5.46380360576622 4.71683726686341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.72536951677316 3.7162560349644 64.021560816887 30.1957011439247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.38866943339188 6.34551681795718 196.19065863442 79.0717927328758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.984097876866753 1.03411916361567 3.50008418171285 3.60207811670654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.94752592244133 1.97910804892661 16.1222893998509 10.8949616811009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.00691364916055 4.07707037156065 75.8639278140479 38.4856321721474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.6367706903525 12.8882951393847 793.020732882952 316.53463270615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 21.3637892993674 21.9001688437912 2254.76116658428 861.750351587711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax MeyerEstimator 0.423688042958347 0.481976997863463 0.686369240681681 1.20854016854502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.504145191299469 0.585303892883317 0.890099248211983 1.44517881290938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.670503228133527 0.804172885553809 1.53151890411243 2.13189208902675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.11108071543436 1.31785313435792 4.55571277609793 4.56089070889257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.32931924268292 3.58885615690646 48.7817293220426 26.3322334108513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.74167918344713 5.99621694785982 152.083722861403 66.9519379486681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.939916997282225 1.11802162471681 3.20826661154387 3.61621853121364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.76379356391402 1.99929050777978 12.8697151160367 9.62392292437475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.62910650365309 3.88207228525844 60.0272754569463 31.2713735408083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.644232278787 11.9276692277078 657.317429648873 243.961017212978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.8197252634758 20.1666397524293 1906.59925117707 650.997007832096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax MeyerEstimator 0.240502425368215 0.208608967422494 0.394670400826077 0.204976234485449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.360169383050777 0.342623719409159 0.697095649353998 0.392999282627004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.58148894619422 0.575273967310177 1.69088076141473 0.912179954127773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.11101846211721 1.10828126133971 6.16493587888576 2.8989400257681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.43920987441069 3.43154372485081 60.7618139464005 23.6108204708191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.83583265622588 5.82420654854301 175.757406122945 64.7280397122884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.908116612773004 0.907433684003439 4.21343669959705 2.14084379969204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.82234535342622 1.82077115547709 17.2245628134538 7.6567234026935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.73911306649608 3.73744196991306 73.2345256046251 29.4853308091615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.575968180089 11.5873122384939 699.830933002675 258.786930963773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.4211597699999 19.4737004721454 1951.75217281045 708.973294099354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax MeyerEstimator 0.334323331862162 0.351255575100516 0.533110208523978 0.58011932211768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.441723305852959 0.46651442953592 0.786241372113906 0.777252852873117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.644329333270181 0.682874145655179 1.57652151929901 1.29700788745677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.13509168994526 1.19316360502733 5.12934784472716 3.17025428748558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.40993567227088 3.4729074847457 51.8366934314364 21.1439106153644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.82218621839209 5.86748811977485 155.651549357383 55.7796932240561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.936065679372546 0.987442104208591 3.45595970306462 2.40450562120087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.79923006293996 1.8686715377834 13.8316786201652 7.25492127961182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.68254147254617 3.75045095684223 61.5247598605482 25.5770692922815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.6377925532689 11.6728681425291 639.673646768576 214.186732158544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.7243681434705 19.7573365552969 1843.29991316194 586.928660858385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax MeyerEstimator 0.366378216322178 0.430793379059822 0.736967474852631 0.915895388994818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.465102790600598 0.517899641467418 1.02769419922509 1.10731178020653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.665186064480064 0.703078201378483 1.93937707132087 1.64806508582941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.17301677544455 1.19669971104054 6.04348910523104 3.72237819975456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.53391885072032 3.56489849410562 59.223693989964 24.8084812793517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.02011391797905 6.06212917106637 175.550673825599 66.0785566534901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.959569053612577 0.988314939332645 4.08410009026591 2.76747771691686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.84795609973007 1.86682646917741 15.8015508493637 8.07616530741651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.7687452037667 3.79036662657762 68.5681664230889 28.7127150941044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.8004152217272 11.8364141231738 689.03714576918 241.947335563259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.9255036886902 19.957556215043 1957.85292013641 650.691358461387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax MeyerEstimator 0.486677287347338 0.501639898344128 2.91114332027898 1.4667696376527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.576843502776016 0.593268029631644 2.87056166315546 1.61461447782467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.764023303188697 0.785807156533338 4.820212453088 2.6621758544835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.23526593318702 1.27309807618708 10.9063614556772 8.51234241114309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.45503402668565 3.51555138987385 59.3331589310086 27.1220106044946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.85338290641448 5.91694892399633 163.033164736246 65.0035658217064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.0486108017815 1.09089252136973 6.54565332401453 15.3951676162527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.89088692770422 1.93871569832085 18.4806374255717 18.5917622750638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.75531711938966 3.7956591130228 69.0436588907756 35.0760136440539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.775157666501 11.7759692020091 664.908644777057 233.085122168144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.9905324610242 19.9607757386117 1913.05726233233 621.905742406169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax MeyerEstimator 0.302382283190139 0.455053058698205 0.273453385906273 1.14850222906361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.457220153180751 0.541256212316886 0.585459542669877 1.33918690462344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.707212063148136 0.713637708226612 1.56028889957022 1.97234965215113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.28983708506996 1.17988025215785 6.06614969521835 4.3897253507226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.85926152158339 3.63641540574103 66.8544514767346 28.8878497008955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.56147246551307 6.27827601693818 202.719308368841 76.5721166444788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.02212681153146 1.02142849866705 3.65343000830824 4.15807907016582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.9813500192052 1.94956499074752 16.1109649062105 12.0036591132866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.02116790064216 4.01911578025999 74.4446170091492 41.6333945290105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.650641120669 12.7039735369215 790.242279131033 325.364129351433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 21.4471242317476 21.3459863412072 2298.7022265141 817.731211457846 NURBSSource NURBSSource 18 180 0 NormalsMax MeyerEstimator 0.00240517035316918 0.000922196204633245 1.77944531155743E-05 1.8047709193582E-06 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0933655330755082 0.0833103162549452 0.0243800546593835 0.0196331779466725 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.18522844464991 0.168173868057902 0.102349987192364 0.0751066815352945 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.367566272994334 0.343512952436074 0.443623167561653 0.28027294293928 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.11741264328363 1.10432827513991 4.97417293713215 2.13022971554451 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.90087042095025 1.89951306669122 15.4792915094153 5.55280123184633 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.26969527357336 0.27931758702553 0.23149210305996 0.194558988320941 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.532784297738846 0.576527478102961 1.02032090611606 0.721919143064025 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.08477904163164 1.19873034575881 4.7666955836666 2.60796587867783 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.52907423309035 3.81825519934057 55.4749503754234 20.7331581032322 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.08276260596027 6.5348210236558 167.134786805653 56.7276567506636 NURBSSource NURBSSource 18 181 1 NormalsMax MeyerEstimator 0.00110560624978498 0.000253538954956096 1.01123234131308E-06 1.22399168760533E-07 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.114573288278386 0.112949709635772 0.0393693549627257 0.0350374499500955 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.230104425248173 0.224543439100191 0.175259394603166 0.129470606929728 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.464290093184408 0.44185378433614 0.823491268585849 0.448821229987288 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.40813747816133 1.34183510237893 9.5354418075259 3.56731447914501 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.37223615056873 2.29050250629486 28.79942971455 9.78081312144028 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.40066208486468 0.380502776821413 0.608223765488874 0.345759460683454 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.804498740147672 0.764653605348757 2.83212545962364 1.30110726438944 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.62772199001176 1.56397399791478 13.0110279494413 5.01497192820082 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 5.04249294207818 4.95573583543971 134.064226487436 44.3059961710774 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 8.52934264126755 8.38542241919895 386.752655971114 120.627227824779 NURBSSource NURBSSource 18 182 2 NormalsMax MeyerEstimator 0.000832250062039829 0.0018383910009768 2.07906346956488E-06 1.73002300168202E-05 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0617178532957519 0.0880625927896629 0.0163572770247114 0.0200227955064738 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.122607870689875 0.177001220274919 0.0666553260363113 0.0784841081498194 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.24468140098646 0.356158256672437 0.282606993264 0.303323287886261 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.795312829008776 1.04256501336147 3.35625790397136 2.30122627552998 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.41903539225686 1.70358057992624 10.9327538774781 5.87027302399756 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.194774338573186 0.26837602437817 0.157010459009536 0.177333583473933 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.388927808993968 0.547917260202381 0.685418309690353 0.673352254305742 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.826263907387611 1.08238755187257 3.35878914458192 2.37284925286294 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.86375052450877 3.13281957025549 41.8348080838452 17.7536869192765 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.97232476214702 5.20700304974099 125.228591222891 47.2278162924812 NURBSSource NURBSSource 18 183 3 NormalsMax MeyerEstimator 0.000419307838074675 0.000178395346534826 2.53329821961413E-07 1.14037243670214E-07 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0462549778176785 0.033051278739763 0.00579608867831764 0.0029172562363415 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0928523125793605 0.0661096744787201 0.0245013347055779 0.0109973216643583 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.185415822096213 0.133405065318202 0.106226652514224 0.0405021329026535 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.548653710964233 0.449281039510407 1.12181198802629 0.335179102915197 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.920606153650232 0.808543236653098 3.38990484383927 0.940556966402104 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.149431277463031 0.104974400688793 0.067840477335964 0.0254351273395477 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.298075014661492 0.22224273265131 0.29730216937737 0.0961446881565665 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.595627644664833 0.492091554466765 1.32681646511341 0.380331650680106 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.83721256396483 1.69954435186858 13.9907303504227 3.49974344943683 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.11509757668085 2.94314280712196 40.9133027348455 9.81363927474217 NURBSSource NURBSSource 18 184 4 NormalsMax MeyerEstimator 0.000543393236523198 0.000582472040612399 5.85533015938715E-07 7.4259167392736E-07 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0550843484898312 0.0377228155498695 0.00827207998778813 0.00355391952781865 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.109420968070232 0.0768078879581938 0.0340728484725402 0.0138106609032691 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.214974602818326 0.159783815627373 0.141910559885916 0.0529243601307918 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.624011179514428 0.539384549441649 1.44086263947678 0.444785054030011 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.0446040513212 0.958200819789053 4.34218846105066 1.23140568155092 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.184883364118799 0.127081867499356 0.106876047026188 0.0378590885636348 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.359951261686766 0.276710812196103 0.45114946352256 0.151510228207045 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.702671649970151 0.614512708531721 1.94505664451567 0.619660448996548 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.14414962410867 2.10004260259117 20.091447810465 5.80970248214081 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.61551811465536 3.61457610282302 57.7868836982037 16.2116491618771 NURBSSource NURBSSource 18 185 5 NormalsMax MeyerEstimator 0.00245092764064451 0.00133098508843668 2.59860552636671E-05 2.14391651103135E-06 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.195818851422658 0.0403602506735502 0.10762754699956 0.00413936130446225 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.370003664121773 0.102274867675291 0.401400535136093 0.0257416722363711 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.660602004993058 0.286929890819319 1.45746252839261 0.202563507587389 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.66136258111419 1.22211314298253 12.2452567457141 3.09775333919759 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.63805603459058 2.22080377670969 33.9458908960786 9.44960474853933 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.568220120430153 0.214010534856457 1.02076521629846 0.127075113685206 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.0041333676721 0.56629305524852 3.82220403439077 0.755578953943325 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.81017549423738 1.36440120303209 14.8581043428549 3.75695244091483 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 5.04858532893851 4.70199082964843 132.874048599319 38.2046631734006 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 8.31457486221501 8.06920512325569 367.196896747239 107.083859502225 NURBSSource NURBSSource 18 186 6 NormalsMax MeyerEstimator 0.00116127822185748 0.000657499581456235 1.79476023894212E-06 1.5626136356644E-06 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.151771397415716 0.0442702763241968 0.0602853002028044 0.0051298205167126 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.301457103459719 0.0910529611067413 0.243952764793381 0.0203279548861978 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.585719713518695 0.201615597576768 0.970653666496159 0.0914855441066816 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.53210992922752 0.892850041072033 8.29428137399252 1.43368168038002 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.3970558260091 1.74159875220611 23.0034616192824 4.86551748912437 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.487591141940852 0.152433575358028 0.719845238925677 0.057835652922153 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.899031603251906 0.380473137445405 2.69017904709354 0.335743156170054 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.60356532986673 0.998183452694973 10.2511585767491 1.99529004647155 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.40596823558648 3.83529471865636 94.1184727787305 24.3274860359156 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 7.29303263816168 6.75247038719066 264.484114675756 70.5379290360912 NURBSSource NURBSSource 18 187 7 NormalsMax MeyerEstimator 0.000207308531998398 0.00209720979829969 1.1416366821717E-07 2.28288948896223E-05 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0325379138413068 0.084636543458036 0.00300912984380739 0.0190408054871508 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0659616137919363 0.168359835399665 0.012905133236594 0.073428925257105 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.140003365395915 0.329240297607902 0.0634317740924595 0.266419891706157 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.545724950501087 0.897701651832922 1.18918813164833 1.6368478341123 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.04985345721844 1.41860500924526 4.66423003150985 3.62372063446956 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.120952083319392 0.296059766725508 0.0491019417467879 0.223741245693052 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.273915573193667 0.570045343219196 0.288091244970701 0.752770422259379 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.672591161476391 1.05746978324723 1.94522538236222 2.18921796433309 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.60464283012249 2.95766507573067 30.7146694906655 13.3686833628491 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.61012199358756 4.91201691942755 96.3152195161172 33.911204249427 NURBSSource NURBSSource 18 188 8 NormalsMax MeyerEstimator 9.21715526995413E-05 0.00133947018284667 1.18629274936972E-08 8.53667263932316E-06 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0404448299892268 0.0995322451392539 0.00490896355332344 0.0282867814821842 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0821009903547675 0.197938576555359 0.0213284694037921 0.109344551504161 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.172218191373591 0.38945536076772 0.102503893086343 0.406008999479838 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.660857707136354 1.04376805802235 1.86158489903692 2.43409635416275 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.27332969600351 1.62364635771615 7.33820443278253 5.30994491773987 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.130132971681088 0.319653593477345 0.0592506665394258 0.301466400246823 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.283614982678224 0.619729914562445 0.325500844694559 1.04424678569844 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.685863123975571 1.14278160619127 2.21663677887692 3.09140699792787 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.60006771065693 3.15260209552986 32.9067678140858 19.0479020356195 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.62699329506219 5.2411665997118 104.884491925229 48.4913609633521 NURBSSource NURBSSource 18 189 9 NormalsMax MeyerEstimator 0.00121253693344307 0.00292136258247089 5.67928536406551E-06 1.30963511648713E-05 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.119138968938953 0.0389248859056453 0.0385814891341545 0.00394053594999243 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.234338340332795 0.083450437594229 0.155458383393243 0.0168998882989069 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.450994989844974 0.191391155483899 0.618654697468477 0.0788608041606428 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.21729291702649 0.768968141909375 5.39604958879027 0.962947760100743 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.93016377255074 1.45127219644835 14.8855823028612 3.01569949996895 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.380953262366524 0.147652741324296 0.449699249362369 0.0485042965805588 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.715499688802272 0.354065383432966 1.74090283998224 0.239681089199044 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.31366277279724 0.869803683266967 6.66304252143642 1.21637375803401 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.642701154089 3.2250735341127 60.0639419038997 13.9693817381337 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.05677162172234 5.65678758803787 170.108154755296 40.6490988580012 NURBSSource NURBSSource 19 190 0 NormalsMax MeyerEstimator 0.00128084111496561 0.000674803095022955 4.68012372621162E-06 3.59617624748589E-07 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0958236769131375 0.0704494406691021 0.0281518654088425 0.0120127763144104 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.190963452492872 0.142209690903992 0.116379094631038 0.0459218630929477 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.379474694478181 0.290455628868813 0.489997100151315 0.171730593860003 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.13289759309913 0.959021158425316 4.962603708855 1.47462279828443 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.89637434013552 1.6977663684341 14.7464724877701 4.23427114153193 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.283702837345906 0.229467952228998 0.26382245381044 0.114505056344901 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.567155616965953 0.488816310980196 1.1352975916286 0.444606495928514 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.14873339476475 1.057421700095 5.0456567431262 1.76334366125209 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.61482685080068 3.54720427332747 54.5577347225032 16.309729265518 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.18219038758832 6.15281619079355 162.520236508055 46.4006900706043 NURBSSource NURBSSource 19 191 1 NormalsMax MeyerEstimator 0.00104302099100327 0.000787447763190495 4.83147933027705E-06 6.03704117042069E-07 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.190340156321908 0.113241100818015 0.108839633717412 0.0327296342446473 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.3720465710148 0.235561663352517 0.456097079006215 0.133876907952486 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.71350985116806 0.505184220133492 1.93350501319311 0.579687940622108 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.0127577961624 1.70415234769117 19.3518185203217 5.82143504421565 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.32770496240801 2.96582811186744 56.0465849385715 16.624662876142 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.52231759648287 0.364926588140694 0.969793679715839 0.316901261872612 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.987200913669464 0.798399494309576 4.06031271653628 1.41367840721002 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.91453591297882 1.72198776006342 17.3962420680946 6.04054688656398 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 5.79495511819862 5.53586195973527 172.347586179048 56.2020658429412 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 9.66805256106333 9.32521637401257 482.717487193823 152.518978421495 NURBSSource NURBSSource 19 192 2 NormalsMax MeyerEstimator 0.000369724025540911 0.00107189549845648 4.95037883050438E-07 3.96383443065509E-06 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0493391946329214 0.0811272105059634 0.00947216079955157 0.0187191487282622 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0991468679817976 0.16190718644778 0.0390727299134883 0.0720698441265845 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.203199963964545 0.320321111424277 0.169257952483459 0.260382068860429 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.701429957209142 0.916230824359728 2.27336341670863 1.76196559345135 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.27320532589573 1.49406169018282 7.69954719255557 4.31952494901098 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.164180623004338 0.251735655368563 0.112492739303291 0.157738467195549 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.32837558204699 0.509774293984485 0.491726613618815 0.593162003890701 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.709805554129687 1.02458226036025 2.45229371125039 2.13070876361425 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.52600330004401 3.03166951362097 31.8358511681092 16.0742730403868 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.49444374124386 5.05241176398444 102.883918681189 43.6787099184556 NURBSSource NURBSSource 19 193 3 NormalsMax MeyerEstimator 0.000308318251878058 0.000115503975935731 9.34190591378957E-08 3.34950141503264E-08 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0854796654719319 0.0268877354168421 0.0196575052207187 0.00174104850385316 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.166850776292599 0.0579374450063957 0.0779325214480122 0.00736509478857437 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.312437210422452 0.139054324201298 0.300595519818539 0.0385036638541674 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.810346994073426 0.590691288930851 2.62461223158054 0.542317589723845 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.30940509616331 1.09780311769244 7.46758778428143 1.70010836319045 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.261090286711446 0.114730355245018 0.202421912887022 0.0279557445250084 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.476244336756306 0.284888000097069 0.779128197391191 0.151218799541103 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.882219614301419 0.688509222334481 3.13365018897468 0.75282640229085 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.57947304597994 2.42379198701608 30.2174729336984 7.86239307441875 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.32745806450909 4.17717058635656 86.6977772145648 22.3303755657392 NURBSSource NURBSSource 19 194 4 NormalsMax MeyerEstimator 0.000273729321830352 0.000382712771170516 2.17873017249942E-07 2.00068486295329E-07 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.10268530984051 0.0387030506112707 0.0292539048163829 0.00418202430866969 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.198205245120004 0.0852167810525103 0.11511570969778 0.0180989201444158 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.369101816049149 0.202615752313221 0.447833378592342 0.0885729285584069 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.983998553796647 0.792576914775779 4.08915977122261 1.05139746002666 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.5976264813978 1.43313618155547 11.714146145429 3.12102679280947 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.285673254997701 0.129277238859408 0.255906682365282 0.037831429293527 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.524455432841203 0.32155674715205 0.99779342858316 0.204333989118705 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.979111005447701 0.764664224139294 4.0441604925219 0.993798241357419 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.87074472057342 2.67588142195218 39.0802991065306 10.2363974872711 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.81380654143167 4.63240173333075 111.74441232811 29.1889849337041 NURBSSource NURBSSource 19 195 5 NormalsMax MeyerEstimator 0.000477631828554704 0.000162684073117461 3.76553246023432E-07 5.88849105980567E-08 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.122986306981228 0.0290178562153645 0.0396461673116909 0.00205247533191599 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.242658566070517 0.0621760855716138 0.158468488355761 0.0087329887581064 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.460732266817198 0.152182891061704 0.610023004243884 0.0471466374620009 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.14613667057462 0.7338109107924 4.92990962468482 0.879927810338562 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.79141219667103 1.40738382662504 13.5944984870619 2.94001725348789 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.368233618419015 0.118294456919508 0.391075080566705 0.02973563466149 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.666285535087913 0.316106261433674 1.45092376081367 0.192062711173968 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.19020459815534 0.819145292192926 5.54589938005904 1.1020701526825 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.32276065429916 3.04747809518103 51.0812841640511 12.8055542281725 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.52954847291157 5.31366145005487 144.634168591965 37.1959863717351 NURBSSource NURBSSource 19 196 6 NormalsMax MeyerEstimator 0.000667576621471547 0.000386391965519147 1.6324275511538E-07 6.33132578449339E-07 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0980326112762908 0.0670186822156537 0.0260207958799519 0.0119459119925466 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.195830376263118 0.135102152924631 0.10756426916097 0.0463302007819807 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.388401736477537 0.276244279572623 0.4523733785741 0.178787449813278 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.11541445820648 0.917542458554323 4.58641873305887 1.56791396467218 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.84186684341884 1.64040561638388 13.8280861362312 4.4290093544051 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.315407832860008 0.20180240290134 0.288083282823416 0.101538935713289 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.618350124616455 0.422011208477738 1.21138650532386 0.393813324994675 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.18709212793401 0.923847199286834 5.16266648406851 1.5858346521989 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.54930724486886 3.29697027734478 54.2197628144704 15.4158953544746 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.02507376769703 5.78218545686692 160.924160976442 43.9104262302458 NURBSSource NURBSSource 19 197 7 NormalsMax MeyerEstimator 0.000121621004267922 0.00105576602585978 4.61736031220514E-08 7.07727006005311E-06 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0247083069656433 0.139492873068753 0.00179937904393643 0.050757298909428 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.05232873960252 0.275986611045028 0.00912183167099822 0.193574714222783 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.131532584326597 0.525470479702497 0.0757890248146134 0.652933453786516 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.716977812649397 1.29233562695331 2.68132967490877 3.20696338035799 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.42484468922261 2.01631167055391 10.5382198560072 7.37430892987952 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.111346922099201 0.448511706752782 0.0554784759583149 0.497697640736194 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.318771349114472 0.812356980132489 0.545784171539938 1.45360009077137 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.869609261660906 1.43450075480521 4.0901403356095 4.09518728057443 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.3652088439602 3.90103523225474 59.8758270714703 27.1725249609005 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.87966791787152 6.37376960124455 180.014872314858 69.5338512835653 NURBSSource NURBSSource 19 198 8 NormalsMax MeyerEstimator 7.37309245978729E-05 0.00118673387737543 6.3001132439326E-09 5.77483978900464E-06 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0279946310877482 0.185413072725566 0.0022917753363832 0.0936979956776871 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0587805428517037 0.368000493227016 0.0110387735518868 0.363417634298328 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.151764902877774 0.702540046817659 0.0959139915191302 1.23984416140889 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.91073392275373 1.68766811063118 4.35256277949995 5.91476973885032 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.82597262190028 2.55866348021989 17.4693258185938 13.0361590006489 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0998952014372054 0.574437694900281 0.0446961196418282 0.834836002489906 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.322240250980616 1.03254793089333 0.577928896108423 2.36564015582452 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.981970757404844 1.76507942350992 5.43028176791509 5.9360181381442 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.96543358492094 4.65477034422094 86.4195288317418 35.6834268003869 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.99691356029889 7.75487989017917 267.132859564498 97.8621232364936 NURBSSource NURBSSource 19 199 9 NormalsMax MeyerEstimator 0.000524304778332768 0.000403031747759638 3.37760218426077E-08 6.5131422998236E-07 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0700339740765754 0.0522631545956697 0.0128637698779725 0.00636960138167839 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.139957102982661 0.106077688361401 0.0539050820846271 0.0243603545957896 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.278405131661503 0.219495283612999 0.228940910078336 0.0927152095364705 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.824956439272674 0.724831333601469 2.32997686896472 0.763347432611057 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.37929183761608 1.27595799538266 6.96176589779635 2.03680879884449 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.231661717901067 0.179835295225187 0.164298759054943 0.0710485031901691 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.459787940832128 0.378690777502141 0.700163935847307 0.274822361352269 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.914733264126997 0.819573775300562 3.0346059839876 1.06687054175602 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.84055092660845 2.76695102541465 32.3543581159404 9.59250166457772 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.84080105523216 4.79144359633631 95.9419544383124 26.9454456062923 NURBSSource NURBSSource 20 200 0 NormalsMax MeyerEstimator 0.101003488592118 0.060286047179184 0.0344097166428681 0.012046689353037 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.148092683439032 0.113323135194657 0.0666596327362751 0.0339582363860953 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.233714727142934 0.193362736151461 0.171171592534379 0.0923715980038071 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.432768548381074 0.373121590476642 0.63320372767204 0.304356684988963 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.29287785703429 1.17538292543876 6.55047516229842 2.33446688575459 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.1833121427013 2.04839430755414 19.9582089824963 6.45231655508572 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.368201264973501 0.302521774598004 0.459242764100587 0.221874870912213 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.714264138066394 0.61746671628999 1.95056352819846 0.771632915161017 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.44803849168858 1.31708254125765 8.8312108785043 2.91662937917184 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.52190942986517 4.38937321716118 93.5329064038887 27.1252812813834 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 7.69996444146551 7.50687753788107 274.774843828621 76.647447459932 NURBSSource NURBSSource 20 201 1 NormalsMax MeyerEstimator 0.199448158529743 0.136081186027828 0.136261412606422 0.0627924425521317 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.311486772951531 0.198269065949983 0.318570588154133 0.112620175512809 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.476550064792755 0.314550440737226 0.792021354991417 0.25745401409548 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.821771565842212 0.587193798795527 2.6935419292887 0.816037725924826 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.21268606062345 1.88570202316366 24.3873172090391 7.03284521464468 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.64149070257896 3.2826891400616 69.6328944593731 19.676289066661 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.641730283481781 0.450714589072807 1.52048929171293 0.530565670443764 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.1644753622396 0.917895291371262 5.90722065317372 1.90053678356616 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.22840751653906 1.95170116251899 24.7675057954102 7.48185331067508 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.67622759433479 6.3540593014111 244.305515895286 70.3331279046984 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.2850532708621 10.9172901545885 704.290480672759 203.372233094536 NURBSSource NURBSSource 20 202 2 NormalsMax MeyerEstimator 0.038146504581087 0.14218190394138 0.00566047308753295 0.0731070977274987 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.072835582790583 0.177853826214692 0.0232188944255015 0.0942059106484844 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.127064853836623 0.244860550851769 0.0734439408042146 0.156982795310455 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.243262066849034 0.41371527725425 0.280510119951435 0.400361119243472 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.795923332470973 1.16590439928871 3.23582220866864 2.60818030047762 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.45166934857712 1.91340779992642 10.7637961390118 6.47307823819612 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.191389129292112 0.328893033676502 0.146580564895299 0.282713726147993 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.389305429460248 0.595164176067812 0.66802873344531 0.827278542920093 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.857287755531656 1.13995097888121 3.43845236472337 2.64012022407319 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.0115642317361 3.35664859163332 43.4851496675551 19.0930668766534 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.26252476274975 5.58783711385918 132.596425622386 49.7930815727841 NURBSSource NURBSSource 20 203 3 NormalsMax MeyerEstimator 0.0757212459930331 0.0195429776771482 0.0176521628559023 0.00141202230514906 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.136104735091497 0.0430277053688512 0.052508066537952 0.00512440659850984 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.221513632212795 0.0857714988939107 0.148177434970158 0.0185960089432599 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.390581911851858 0.20117643214294 0.519486801283492 0.090063018688687 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.01435366281604 0.805544754527727 4.50362332555682 1.1163051699372 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.64694041230302 1.45418705671186 12.7390766660196 3.32147353444652 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.326481159068944 0.152117814373441 0.344260707337704 0.0653912908906669 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.585283827318565 0.374674858588653 1.29801631886153 0.334191412542541 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.09373397732021 0.882419111548802 5.25075302258986 1.55527225805425 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.18444866837637 3.02774470367913 49.3546565466562 15.5149196415536 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.3571579328461 5.17261620927804 141.746814152419 43.0235949756505 NURBSSource NURBSSource 20 204 4 NormalsMax MeyerEstimator 0.0692737642597393 0.0277552097733128 0.0147232030851132 0.00366863756788042 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.135377528428584 0.0498996485276725 0.0514536132358306 0.00792926921640829 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.232918553204749 0.0983168789846002 0.159893055000263 0.0252201278365226 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.414931495008031 0.230989700775599 0.580086496896951 0.1180278648431 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.08716747526381 0.89114922531945 5.18923217323154 1.39986369760083 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.77533571231415 1.60281485296531 14.9131473551966 4.18336969462349 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.349148226685932 0.187264357559774 0.416479864411609 0.0942429371870834 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.638266022924846 0.435733945918312 1.64347905347187 0.448100086854498 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.21067082586494 0.98547114617142 6.78535344601912 2.01131721320311 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.59664270886578 3.34478244368983 66.7978661951543 20.0560108385091 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.05497904174702 5.75530928286419 196.964541487198 59.0970332312565 NURBSSource NURBSSource 20 205 5 NormalsMax MeyerEstimator 0.123717937488832 0.0238977053976663 0.0499512096711719 0.00265540435408806 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.19987704606513 0.0471257244007262 0.117425092457558 0.0066448740492832 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.320544729346437 0.0875039449468596 0.301848898385939 0.0198720755928534 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.555455422221468 0.208171548546968 0.979996075039493 0.109054020652719 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.37267269287658 0.917731953606894 7.80252811380161 1.66601310758096 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.17970244933113 1.71589836560081 21.6120844688784 5.2383332958476 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.471791459279702 0.168692135168545 0.698078816657417 0.0932387492695982 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.824105351831471 0.424167603528535 2.45531280947314 0.491297334178174 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.4748605533937 1.03909978457529 9.35169345342193 2.39413989324417 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.12255532542112 3.7554800433761 85.682118407926 24.8717314000481 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.81089116272257 6.50140571774426 239.09237852238 68.9464552603651 NURBSSource NURBSSource 20 206 6 NormalsMax MeyerEstimator 0.167916758131103 0.0854638071980864 0.0858622930297492 0.0228330705603793 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.216672925015268 0.120135201231268 0.144963991730787 0.0423660213497075 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.309234756630054 0.185466784651223 0.296300142464308 0.0931212651444618 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.522855678102193 0.340773363014748 0.88995018745724 0.285761467640679 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.38821565477175 1.09875212402013 7.59501720148701 2.3787906285167 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.28001178221382 1.95732935624925 22.2355621821483 6.74368635732637 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.420598866547137 0.282754698324251 0.583908004083944 0.198903212048176 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.775713629275559 0.563231765235601 2.14460012076787 0.703447617304387 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.47120046050061 1.21947194947395 8.77755912299157 2.82270446952234 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.3897401458338 4.20524786831149 88.7334560990376 27.0068295696408 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 7.39743714318573 7.26548863076006 254.938042573893 75.4798403450529 NURBSSource NURBSSource 20 207 7 NormalsMax MeyerEstimator 0.0299830663856588 0.154404869363336 0.00334029716989297 0.0815999293487863 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0406971219818631 0.259224511928053 0.00536994719605231 0.199488941683684 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0813570733559378 0.41331847322139 0.0323796140471973 0.450608264016844 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.218019780835837 0.695228019691809 0.293681106873273 1.13534503358289 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.04808188937809 1.67262493830182 6.46149039195272 5.65648903198941 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.98319946580812 2.62842317491654 22.4733879901581 13.3728403473467 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.174386239662752 0.571814784748199 0.165754253583369 0.809881148966721 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.472116174303347 0.980239160484122 1.30333993818114 2.16008668558793 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.2077153903858 1.72618366418206 8.26988381958679 6.3009968620835 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.43047723209848 4.81728891065758 106.435970970253 45.4338200652262 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 7.681166952278 7.98674201046105 315.615822421026 119.61691163772 NURBSSource NURBSSource 20 208 8 NormalsMax MeyerEstimator 0.00876906520243415 0.127273299137599 0.000221057206253969 0.0417764489112262 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0337289262951261 0.260494781066779 0.00372895833911508 0.175388021973825 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0710450363080885 0.462115868461012 0.0198368012136873 0.547362746523935 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.203980078576582 0.834482266876494 0.211784997439036 1.6604485909567 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.15707182657022 2.00251457306582 7.32404385000275 8.19313866180691 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.24823799211614 3.12134212832237 27.3751709551116 19.2263238840783 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.158524999823027 0.665057902016321 0.138889219377897 1.153345071029 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.47906937167994 1.15662570139932 1.39466504241527 3.17521771563271 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.28324662292573 2.03087676560605 9.83105069084068 9.08401823121357 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.78897381613494 5.49272339023609 130.583047957778 60.6852893309251 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 8.25809873999582 8.82736626276232 381.453818779936 144.989484393637 NURBSSource NURBSSource 20 209 9 NormalsMax MeyerEstimator 0.0779209332951991 0.0695877567083283 0.0209120336063238 0.0164144246572679 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.124777283615666 0.0989679020639768 0.0492808459672235 0.0274968068436951 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.200528131989263 0.153825021326463 0.128396216068953 0.05740628265748 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.363772896561528 0.289239751603335 0.450249127430472 0.173396339480207 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.04043528133303 0.921258732669509 4.23539181116614 1.36121706558772 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.73612885536656 1.61265048224426 12.5330339185995 3.70441609837998 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.27752917999498 0.224984877328692 0.249306482051889 0.110007833416647 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.533679451086093 0.455794599534149 1.00914762457729 0.391942595750497 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.06837968478851 0.968903361589229 4.42607153796306 1.51991200417277 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.35951722023728 3.22933117536807 47.8604271513636 13.8703319583807 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.74987026472401 5.56886345695118 143.055110072475 39.7547704068532 NURBSSource NURBSSource 21 210 0 NormalsMax MeyerEstimator 0.395334975399192 0.171370273256406 1.01975126121492 0.111637011024858 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.55516976541482 0.327869099604547 2.36631337188182 0.839494649058719 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.850758584850465 0.621058701847056 7.48404677606469 5.47499136004016 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.49728402031731 1.31382956255842 26.9001881465971 27.1862235504881 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.38767002669119 4.6889807541987 218.207604147307 311.255149384696 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 7.28859758847089 7.45586921827084 579.663386052906 511.961034594517 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.42044369766614 1.04540772106784 32.2807147921137 14.0412083953449 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.70484750885534 2.22302306636776 138.597583150002 63.7435966847706 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 5.36694795625352 4.66912312731381 567.880779300981 247.978142839251 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 14.9840091946919 13.9803774228423 2653.15932339816 1278.44121841685 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 21.4227995158142 21.6134558592594 3596.59249775139 2466.75404246858 NURBSSource NURBSSource 21 211 1 NormalsMax MeyerEstimator 0.515978875205263 0.465555412786506 2.14942665335276 0.820070599631624 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.919933014594242 0.760346713369025 8.38683479529421 5.0933379113548 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.49837839590125 1.2085135239963 27.8891165839623 15.514304253443 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.76757555555526 2.17703131890922 111.565925709078 47.34134567942 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 8.13452087485934 6.24985312003064 1006.95153464269 264.305782536296 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.8517556043235 10.3758334547251 2708.66328677951 599.431124921237 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.95078969199001 1.86744394858381 44.6583492123867 27.4500755330852 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.75585669162934 3.71236148349457 174.526212745892 108.910735465352 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.37812982378318 7.58775355839681 632.530974567556 467.561108518048 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.982207634509 25.4022402828449 4661.88412496017 8139.46530898228 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 32.0031728823104 34.3796854224672 8531.75647561492 6947.7894695217 NURBSSource NURBSSource 21 212 2 NormalsMax MeyerEstimator 0.0982932357528225 0.565809402400992 0.0357211313601006 3.61564865475891 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.177152102488044 0.631311550861051 0.219940111770965 2.50944883518021 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.387832201168975 0.821571793970661 5.15941637969314 4.86580037179518 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.895578679278498 1.29394764551874 44.5350109588449 15.9691173619024 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.36523361766347 3.76567116707484 750.296447415958 401.193293270415 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.69507686239951 5.47824404582957 1632.51166363978 349.290135482807 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.75692274876867 1.68014750135707 18.1410768983447 98.7828098906424 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.60729121016701 2.96486703673268 71.4965463273313 315.144242535786 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.42190086621521 5.59228896385285 244.544263725287 1069.87466470376 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.3598437324606 12.2283253628889 1257.25281240283 1877.61801129737 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.329577647959 17.029238221084 1868.71015892407 1806.26788581046 NURBSSource NURBSSource 21 213 3 NormalsMax MeyerEstimator 0.200427472427175 0.0985044380597481 0.189698061398673 0.0799751239258385 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.400471032801013 0.358291681537548 2.00243068801176 7.37125590596427 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.640591809835181 0.645062964115567 5.59532518323747 19.9364682925436 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.10913340411327 1.19096919482817 14.2303807172 41.767075521901 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.90375988019205 3.2510714387633 71.2229544084583 121.631297094571 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.73036227201733 5.27204941127834 177.745257720305 239.818667781447 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.887942051118221 0.851443479741853 6.92947404249833 10.2452727211376 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.68358959313361 1.76711479206136 27.4840652208614 40.9888968078614 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.23072295239871 3.49478605400778 93.2462034791465 107.705773694008 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.37985923778766 9.50996770442398 749.62014127191 422.973546729187 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 13.9124631498222 14.7696670721964 1288.74208226875 800.614046021085 NURBSSource NURBSSource 21 214 4 NormalsMax MeyerEstimator 0.208546082775845 0.177173914109156 0.22196309062472 0.27651093431884 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.370087340964671 0.315209548214624 0.964977387485511 1.74623798211359 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.609876738225308 0.556150506325369 3.71461345616333 6.86327459386874 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.14715735042464 1.11645266099566 18.1798808990605 30.5115284281669 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.45098563996483 3.42241173362017 177.162744275199 226.409944001562 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.70065412928504 5.41335079694606 427.637731448113 351.501742783594 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.918683383608281 0.743360445579112 10.7621074635574 6.75017043079454 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.80980311325444 1.57836197462716 51.1555405856949 36.6105264765932 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.51773085125941 3.16957281169191 170.924906453121 105.413593785285 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.72564579751949 9.25159761297583 900.585784006718 459.372654769563 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.3986060306545 15.0178224488411 1878.72086637436 1225.31291256055 NURBSSource NURBSSource 21 215 5 NormalsMax MeyerEstimator 0.34258922735365 0.096548592613159 0.540705023870096 0.097511386300621 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.543436564016717 0.47133292491327 2.50605299184909 52.9165013293466 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.826578592231833 0.905742367121909 8.35028905682352 196.533350387232 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.42553793070062 1.70057224546186 28.8295498809934 550.440619100457 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.62386102671525 4.14760256645729 159.117761321602 1190.79228531392 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.73860944483532 6.25808163191674 359.085263572128 1256.3668305042 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.50485639097606 0.861369992967309 163.76164289002 9.05656108445607 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.61809665079021 1.82631711375367 412.901324026579 34.0455319554649 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.55497701137024 3.71790579383865 826.824187006662 113.241652414247 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.4921614036432 10.6089543838566 2387.12783641544 637.061543764424 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 17.9148268946207 16.1721447857175 5029.27332783198 1326.35050434685 NURBSSource NURBSSource 21 216 6 NormalsMax MeyerEstimator 0.284192665572857 0.177493689338495 0.264892951282229 0.147697304745039 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.462663176602757 0.325194991346328 1.87882786261237 0.838195904894592 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.766045784985567 0.531960063553445 7.40519130058128 2.73217508702531 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.39897731478291 1.01737052780563 28.6631238080464 9.18617927051142 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.94221589878426 3.13668123055779 199.833012230639 60.2954693964825 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.83356279406223 5.68918523859737 602.956422221127 245.507819495693 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.18737066896939 1.09833820038203 14.8926561420594 24.1060515431464 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.27908345378459 2.20268003830666 60.6177459562999 77.7723938808177 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.47340166978439 4.32925915787825 238.384837760457 184.841852963268 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.6792732630456 12.4233235989886 1648.77606166191 712.525395098697 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.6814824021813 19.7819506304439 3198.66981530197 1409.51358728436 NURBSSource NURBSSource 21 217 7 NormalsMax MeyerEstimator 0.0758886490346112 0.707735776408373 0.0222647044500078 2.48241089652488 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.284232881933318 0.925304785069485 13.043519225815 5.44225167470555 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.560808363162723 1.24477127460949 42.7973606473176 12.5036335829055 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.20211682557907 2.01580170764537 110.964965207132 41.9035891019696 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.18647622407111 5.53453262512059 426.252542135682 564.058611267736 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 7.77880569153936 8.39109036428338 1308.34062135265 849.207232499541 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.855188136348229 1.94915457074135 13.8666982590847 71.406768769569 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.96623888525549 3.168116444541 67.3559640757539 183.440658406676 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.27552708882416 5.3741105418945 292.391941716429 374.983182110729 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.045868678456 12.8375287292824 1515.25244255981 904.585734980898 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 18.2807897940623 19.0341142852518 3093.7288600304 1383.51191442147 NURBSSource NURBSSource 21 218 8 NormalsMax MeyerEstimator 0.0655955669216696 0.306117746078063 0.0520755376256036 0.311344753934597 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.230281885096938 0.699092561044193 1.61220324598751 3.7311354530688 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.515396709162901 1.15985576361173 7.32000173989706 13.6630571905708 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.17720877938488 2.04083198008366 27.7857626915659 50.6503521125843 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.03790811143949 5.36525123138996 189.449546892095 355.461717727804 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.88271150315355 8.3208083894967 479.025105159888 683.998294358003 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.40812315210464 1.39545796669852 145.751923024909 7.91031565858077 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.07175463891388 2.53022759310382 576.027124764673 27.9703990007786 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.13557921709536 4.76673275520648 1664.82883574151 103.65023462322 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 15.8136617189931 13.3872457897102 3215.07212540605 675.115869945047 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 24.4220654031409 21.2901959024032 5555.49986171956 1504.68199660243 NURBSSource NURBSSource 21 219 9 NormalsMax MeyerEstimator 0.188572750074012 0.303386967881343 0.102712120052171 0.422638926141647 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.306030231952768 0.43082208939956 0.542587585105208 1.09135172981607 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.521197053132307 0.638229513490511 2.44025072938196 3.2433894200298 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.02072982831338 1.13616179609185 11.3147040158913 12.6838524221372 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.30115301924255 3.45053018533868 128.123969847268 186.335975152494 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.70083175103051 5.66744139010602 419.799071773968 419.307402200093 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.874431259332927 1.35293123394456 9.82787196353905 54.6329507965048 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.73579028253868 2.59737642932614 38.0228518200351 229.813971056991 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.45910119544722 4.98943534301056 130.404743921016 811.299881112391 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.93554611300415 12.1008924642104 754.270185600546 1776.25202644903 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.8932017871857 16.9525839636447 1688.29260749045 1557.68057517437 NURBSSource NURBSSource 22 220 0 NormalsMax MeyerEstimator 0.000751122716597747 0.000244940356522221 1.64509472005504E-06 1.80227841399588E-07 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.176256256166552 0.191844047804783 0.0908992412496373 0.102034775840841 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.354721607006192 0.385311516890991 0.403439972500429 0.37676922925524 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.725510478911805 0.775044164699982 1.91060794020922 1.32455988026332 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.34785848304918 2.40472628072592 23.577071093515 9.72612877356167 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.05410368868768 4.10823505166423 73.2173809992194 25.76711137246 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.582706080192056 0.615140259140305 1.23163598682424 0.901138080447325 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.21407956441101 1.25228801089985 5.99572235006963 3.15220688383973 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.56906391306043 2.59499862036402 28.9807142109866 11.4331500282645 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 8.28365248441625 8.24039695615116 315.082655314459 97.0077793853852 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 14.0467843338191 13.9722522251644 910.917858975302 267.911249581785 NURBSSource NURBSSource 22 221 1 NormalsMax MeyerEstimator 0.00028383440893585 0.000103541176995628 1.64973595207934E-07 2.00908895578715E-08 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.224864228309869 0.304412460479525 0.190635607256308 0.254580188244581 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.473953687405522 0.586153436359946 0.988208410970926 0.874470503782813 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.00283760733379 1.13141090063257 5.01703714250595 3.04379726658293 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.24232089107063 3.36540457120361 57.6543622336647 24.4721863096961 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.5431427301907 5.67627171820302 170.44215314501 66.5186447361875 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.837053469071942 0.951974886535933 3.37413846002158 2.11935849283782 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.7629511003962 1.86638406290449 16.3769987651286 7.62604865612276 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.67961424102047 3.75973681272086 74.24551507024 29.0171488140776 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.5033411054771 11.5485152049876 731.416859866697 250.731134387278 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.2827965067662 19.2944984866114 2043.5538201042 673.314210572697 NURBSSource NURBSSource 22 222 2 NormalsMax MeyerEstimator 0.000409466336752831 0.00122609463527458 1.1705615421493E-06 9.88219028428283E-06 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.156728323800158 0.260871240238243 0.113406547381052 0.210783686749992 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.31589957894096 0.522765969732047 0.514756522498638 0.791722059756977 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.67472390377365 1.01991136157778 2.61429768943257 2.74889054480479 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.4062601359116 2.86400473693709 34.9338972383289 19.9187316694861 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.24639314165355 4.69664769281149 108.418322825381 52.7491025036616 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.525262018700868 0.804216233268123 1.60184330934907 1.80240635759803 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.15837160489446 1.54885793278228 8.26982800671354 6.21611441944681 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.57226939021423 2.99525576909084 41.02445882694 22.4371715779135 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 8.52689914041468 8.84970687809457 441.811967155918 189.199255796873 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 14.5013994378838 14.7730981270913 1260.27500829524 512.513020918652 NURBSSource NURBSSource 22 223 3 NormalsMax MeyerEstimator 0.000113489955441108 7.57461639367779E-05 3.71271130848277E-08 3.06260481313258E-08 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0935082843507186 0.0786905861348808 0.0260822967000017 0.0164517889611188 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.187952046435035 0.158860904869758 0.114119218911528 0.059761046474111 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.377097836621385 0.330221257647918 0.515713291273155 0.215581987922646 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.16928005925005 1.11431562453225 5.7751598063332 1.81087330101445 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.99602041387905 1.94212391672113 17.3369737776887 5.00680308632904 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.315202761499266 0.266878661565981 0.350100972605849 0.155820015948429 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.637380622179486 0.574568043888441 1.61055040434212 0.587963903098831 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.30630790303215 1.24763003739742 7.31576798812406 2.32422496410176 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.07895644123096 4.03937947910563 74.6745786693128 20.9321565950456 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 6.87229376185338 6.84678115912755 213.236304395996 58.0112592709223 NURBSSource NURBSSource 22 224 4 NormalsMax MeyerEstimator 0.000162377978130057 0.000218188747677555 7.9485087363874E-08 1.61597401848287E-07 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.110839666821149 0.0879673589409147 0.037577265015898 0.0192143935469806 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.220548467225414 0.18089064269445 0.16053914792935 0.0725722786744287 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.43863600659518 0.383599162818257 0.704369797955086 0.278764811305553 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.34295387859633 1.28886291794553 7.58439630994223 2.45397708462228 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.28827782707653 2.23960128258072 22.7173736998569 6.83904189552405 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.354064334493904 0.299290441865102 0.449668150842423 0.184854782985093 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.706710413662924 0.64459164446209 2.00130714022218 0.723538342414642 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.44532060702019 1.38856765896072 8.98177176164508 2.89036450504475 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 4.54983082795018 4.49629888879914 92.565686451219 26.1788233187946 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 7.68248860133716 7.6148674622264 265.112482869866 72.1645930597586 NURBSSource NURBSSource 22 225 5 NormalsMax MeyerEstimator 0.000645757967080636 0.000477341265269206 1.84105185308929E-06 4.54382962769724E-07 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.342072467076613 0.126995349366674 0.361662145488368 0.0469393471563645 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.624397175564685 0.31650950930291 1.35658234615466 0.252798361538722 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.12585510302505 0.768470355730956 5.24264165373081 1.30152842094142 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.07144756555493 2.75004270797439 47.8157187813375 14.0467087672396 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.06192879415306 4.77801580449649 135.02182148741 40.2140068254996 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.946268630620779 0.604244198944673 3.56417977218583 0.904524230928762 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.74588857218951 1.39279870028687 14.2542151272157 4.20214186707573 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.35284208963171 3.03626384337041 58.1363354977396 18.0685589689343 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.99414016716182 9.73125110321358 542.291629609898 167.773565492798 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 16.6624581135423 16.383999932653 1507.3268710371 457.270921139978 NURBSSource NURBSSource 22 226 6 NormalsMax MeyerEstimator 0.000362412436852813 0.000237968108202491 2.93979099214622E-07 1.89652525044861E-07 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.303589308321521 0.111556997324825 0.268217300812051 0.0319397828534755 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.586803997298563 0.24666149735497 1.06655951409027 0.142536665691467 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.08366000867932 0.600240689463142 4.13216462730766 0.751572647607312 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.89082674471041 2.37921060665712 37.4184419734846 9.72749224662857 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.7427722573967 4.25927682899602 106.872736656267 29.3567787979327 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.920850151711043 0.462646340018956 2.9351052890864 0.482723793468316 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.68033905193315 1.1403042385301 11.5267937414235 2.55413001245978 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.18106278013049 2.65438444072329 47.1427499404938 12.2162147513599 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.45913836921287 8.93989656215191 450.813008310755 123.934072576448 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.8249189018639 15.2339840685535 1271.1089500505 347.797115527098 NURBSSource NURBSSource 22 227 7 NormalsMax MeyerEstimator 5.09144858178003E-05 0.000672706444460178 6.61658287558297E-09 2.48260275881088E-06 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0754793528678813 0.202706643101237 0.017314330693563 0.111406299203202 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.159942991597229 0.398616758047226 0.0868420389385254 0.409801908239744 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.370639138094692 0.759983752271716 0.542099969688946 1.35089336434845 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.53896652025161 2.02921257557085 10.7554328963573 7.58497200049391 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.83585023611215 3.30352309493948 37.2526370488869 18.2506739659241 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.285968572465689 0.635000867436064 0.316563935707064 1.02014469289493 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.707593703086087 1.17865627204709 2.20021658980833 3.06728652458468 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.71090888830336 2.21712752438716 13.6870144304736 9.40199801575365 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.05208343482986 6.5416354619189 175.588645614944 69.1463590731894 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.4370310381851 10.921708639081 523.755413128831 182.933860307108 NURBSSource NURBSSource 22 228 8 NormalsMax MeyerEstimator 3.83553028870388E-05 0.000576551019245911 4.35161184178695E-09 1.96100628165472E-06 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.088314134099661 0.264421890812539 0.0271555570217559 0.210887062694363 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.185522308466043 0.52143317220016 0.131444035550137 0.786765613162981 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.435627005867302 0.988281811326394 0.845608076741179 2.57004683380742 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.85918745994661 2.58558450309797 17.5888687659694 14.3706935985209 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.44551561154202 4.15821868452706 61.284720685533 34.7046336662296 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.334629260865775 0.826988914644098 0.495355532855521 1.95741172862455 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.850388490063128 1.51745215371302 3.59565520090776 5.75255463191324 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.09925116413487 2.80440852699495 22.9847165832266 17.303530220863 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.4983093080793 8.08160258253871 296.003052190542 127.044598008902 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 12.9716130635096 13.4182878147077 881.646901767816 336.209281539004 NURBSSource NURBSSource 22 229 9 NormalsMax MeyerEstimator 0.000354201434989032 0.000781332202911448 5.07156180101168E-07 1.22620096167594E-06 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.230220398734236 0.0964300525715802 0.158908386413995 0.0223263441986985 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.44679197244777 0.212359188742675 0.637236018756717 0.094906051741881 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.845150744238572 0.49333816428008 2.51218203536461 0.436603073272978 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.31536022626671 1.88137257388431 22.5393161635807 5.04034690420704 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.79728021018594 3.38010716042057 64.0610180752566 15.1738790470629 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.688684167308546 0.371453634602786 1.60399060497767 0.259283458161829 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.28825428428051 0.881311215446807 6.30608770912338 1.25170912150327 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.45497447349105 2.02890563190478 25.5019178275724 5.84485505126957 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.29810304517468 6.88640898331878 243.490916221665 59.9640214458083 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 12.2282642774726 11.797280489097 691.060770501974 170.797032805886 NURBSSource NURBSSource 23 230 0 NormalsMax MeyerEstimator 0.000411291091803433 0.000160742431089238 5.45299805137763E-07 3.9283387240284E-08 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.195992117094783 0.15011438927955 0.122497762254463 0.05450826658267 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.390973187168713 0.304520920488848 0.514918469316473 0.204429182728105 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.775526877640435 0.6370282967941 2.1958372912054 0.768171447369354 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.33396684954744 2.16551306263413 22.7551814159778 7.01726409001364 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.95727403705419 3.78503335800244 68.0052763574647 20.1742477785001 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.618542364476631 0.511659558278167 1.41805329975629 0.549258170384363 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.23595495449312 1.10265772813294 6.16189916270549 2.17896249634125 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.52054215592967 2.39944902822251 27.4737508311691 9.0477098265803 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.93119685286693 7.85501056482787 284.126839122753 86.5867934378819 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 13.3925514541922 13.3609253223732 814.009344423008 243.178643961703 NURBSSource NURBSSource 23 231 1 NormalsMax MeyerEstimator 0.000386376954272952 0.00029942185662704 9.09215314593544E-07 1.35041505862308E-07 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.32452763581984 0.268037933524419 0.355986708432061 0.197421362518289 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.637914708282488 0.549000795187785 1.59342331583883 0.766861383257512 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.24766920904248 1.14021924865121 7.13236737632316 3.00408791975676 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.74508131474102 3.6609938453112 74.143018896112 26.7939228434939 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.32171650047421 6.25907177894389 215.591798451528 75.0576213228486 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.03160908547993 0.922469281326756 4.72079658187883 2.02003824628261 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.04691504285951 1.9216361367916 20.9872362058584 7.98784305397208 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.1421645360509 4.00226066186833 91.3100986445359 31.9535513683984 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.7302050858347 12.5029299155621 882.429006994358 285.0068716004 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 21.2317542570507 20.9708723645018 2445.12144873861 766.848712967392 NURBSSource NURBSSource 23 232 2 NormalsMax MeyerEstimator 0.000128555055662757 0.000681941414998952 1.33450483705719E-07 2.92273170323478E-06 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.113198631643157 0.224866596883354 0.0532521627575119 0.162062722490823 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.232014127329995 0.449127948653681 0.241452134660361 0.611465842593436 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.507661404250977 0.878487234871454 1.28031178645406 2.09404068471422 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.91127296852556 2.46313849402789 19.8816570249182 13.8111805457584 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.44769306383492 4.03502092858389 65.093384807414 35.2589060673659 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.394027009468154 0.704656297400534 0.741555138838317 1.41345352103165 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.916062581609925 1.34905481617505 4.38518851418729 4.52793063057722 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.11575796465377 2.59281412339538 24.1979538260126 15.236876452466 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.25857785362375 7.66813100500923 287.186484167476 123.569542724872 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 12.4575051791757 12.8380403707914 848.195377384411 340.277578071887 NURBSSource NURBSSource 23 233 3 NormalsMax MeyerEstimator 8.51901325549364E-05 4.40845082615028E-05 2.33446061248291E-08 1.27964975027971E-08 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.166003947522305 0.0737576942683829 0.078898316553943 0.0131870249366146 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.314694312176364 0.168745197217671 0.314164045297893 0.0586883344322681 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.582266690665756 0.405012324547439 1.25690759493545 0.277658185250132 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.64590954255435 1.49250299793194 12.0640408448386 2.99818347986947 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.74461314627733 2.61658583652114 34.6602481575693 8.68597083512276 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.472487852221079 0.303660619514363 0.802888433314206 0.173843851128386 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.890313647232802 0.71354682525729 3.29602003091102 0.817764218668551 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.74944317941622 1.58690053102355 13.8547617255354 3.59557999535038 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 5.30478735026631 5.16275599041428 132.708598732094 34.5835025087171 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 8.88518731325254 8.743550951778 373.86780379475 97.0424100777831 NURBSSource NURBSSource 23 234 4 NormalsMax MeyerEstimator 7.34078770007794E-05 0.000121081379135805 1.82237538903712E-08 3.4714626812961E-08 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.176606100513097 0.091133002065549 0.0916532051131495 0.0213354729697697 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.335283892634973 0.203111539602825 0.364958140262792 0.0930059438841399 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.629524438212596 0.463754056753309 1.48982324771625 0.418089376761344 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.80803906746157 1.64063227465558 14.6868828840068 4.27079643323043 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.02616683953501 2.86758414747588 42.6906243311357 12.2594814191867 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.508486066753103 0.353340272953847 0.941717286398758 0.260348252835923 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.971693053468916 0.804673406889827 3.9435993549259 1.16184668450593 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.92106966509594 1.76241998278163 16.8186044486075 4.95243715747853 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 5.87061828619128 5.72116575897891 164.484841269042 46.5252466850142 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 9.84611913435713 9.70833627276646 464.920050762355 129.630908536602 NURBSSource NURBSSource 23 235 5 NormalsMax MeyerEstimator 0.000153688137594184 6.66519813841862E-05 4.32179373592849E-08 1.13369214382878E-08 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.228724366956755 0.0753412817271809 0.147307684083075 0.0146945977488275 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.43535833044881 0.17548946742438 0.568989077384644 0.0689439511185888 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.791569887377494 0.44438965503553 2.16080371229223 0.373416405821554 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.10229386979678 1.7700933189558 19.3314817422731 4.61925997199698 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.45864442490673 3.16960825121646 55.0982841378379 13.7821367173813 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.659482299501137 0.33640795029241 1.46399586365663 0.239767681784964 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.20004695266206 0.836743026197307 5.70726586756912 1.24338925989783 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.28112129226778 1.9379526203338 23.244682620021 5.80016869799882 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.80672104252423 6.49884083695828 220.33764908663 57.7758895157535 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.3619654856057 11.0732890980482 616.555620489379 162.333473729773 NURBSSource NURBSSource 23 236 6 NormalsMax MeyerEstimator 0.00016645339513509 0.000103892206979529 1.87286283750645E-08 4.24141380254472E-08 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.208050604694169 0.144317190543645 0.122363007237156 0.0510442308584964 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.413173555083626 0.294661270836516 0.516069010655801 0.194002008263396 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.809067913314348 0.623653342891883 2.21374107616864 0.750586155035087 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.37274593790705 2.16092729766921 23.327489026711 6.95212331288066 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.00818557088517 3.81085171122946 69.9118681297897 19.8621562389255 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.617286788222223 0.471775497247206 1.26106749987337 0.477599129848893 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.2078301201224 1.02303590619295 5.52671041963648 1.89190493260731 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.41995239168697 2.24192273677683 24.8035919757174 7.71943878202395 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.55236298496221 7.43295487571545 258.925525393446 72.1914501435957 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 12.7631696329843 12.6860541369005 746.518209167297 202.066814505181 NURBSSource NURBSSource 23 237 7 NormalsMax MeyerEstimator 3.62568758951248E-05 0.000364403498752335 5.11295490162098E-09 8.9695985336685E-07 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0680894367751154 0.310088242720556 0.0174996376733924 0.254860657068878 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.172351321763825 0.586541136723516 0.143890645642153 0.84671064683588 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.47953778032274 1.05396534611214 1.22731395825282 2.46311732038372 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.08179664497413 2.69263449931755 23.0577412983538 14.0422695160898 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.78062395251862 4.35015241691528 75.2420338149823 35.0264797392664 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.375116916144378 0.91928979376257 0.806700172856708 1.96887406148642 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.00139675247618 1.63574824216522 5.70873986126335 5.67865522055548 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.40792808588665 3.0266257065922 32.1193965340525 18.1868395772762 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 8.21239744072627 8.76752687573488 363.664720079648 138.752230523466 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 13.976513369571 14.5726416756761 1042.13706432068 369.37489552412 NURBSSource NURBSSource 23 238 8 NormalsMax MeyerEstimator 2.75574810500483E-05 0.000495008512390289 1.43465337702587E-09 1.28788015862316E-06 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0708064044816807 0.436368076354501 0.0204153175716034 0.538123268178722 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.18276585304816 0.833859116272073 0.169119010749251 1.85727022282402 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.572612596028387 1.47698997293647 1.86654019027382 5.19079384461118 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.7013520435498 3.6415713419317 41.2248405934475 27.946379748358 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.95897298057362 5.79869212384732 137.682556355552 69.1365059514 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.421953313332614 1.26743478778765 1.01841017992829 3.86038424982861 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.22301393822823 2.20442848003626 8.66759262831754 10.4906045745029 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.02287500086014 3.9969174978886 51.9719699838127 32.4917764727775 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.479948107133 11.326663863616 612.589556081445 247.373949066664 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 17.9051506650744 18.6691014025091 1774.58346047876 654.005594095058 NURBSSource NURBSSource 23 239 9 NormalsMax MeyerEstimator 0.000126812436836471 0.000143017636546555 4.02758251809073E-09 9.01867328082939E-08 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.141207010642195 0.114788428451313 0.0570033420278206 0.0305067111247548 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.282544746372212 0.235970354983754 0.243436210565863 0.115428453450749 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.564627865698488 0.496223921114313 1.05685520882259 0.437360957581491 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.72489843836411 1.64499258452923 11.3288738680785 3.59985298478443 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.94201054957614 2.86529989327378 34.3959268757008 9.79954533318533 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.452337479976287 0.409613057857005 0.677662654304962 0.319278222350357 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.90667388216102 0.868144556601763 2.99928247038551 1.20124824763898 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.85347580794238 1.85237089805003 13.6133386460548 4.57217986945785 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 5.8879936855321 6.02339440445006 145.533706550035 40.5670990950432 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 9.98885735152125 10.2472506468613 422.714209385602 113.269185235712 NURBSSource NURBSSource 24 240 0 NormalsMax MeyerEstimator 0.107325024562237 0.0701877798496703 0.0369693082872324 0.0165659119710032 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.256551889222161 0.198758893729544 0.2201050019694 0.100156717059266 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.473023830679878 0.382016678173868 0.807056643693304 0.331076114958498 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.920607431509425 0.789888711063442 3.35476573376405 1.25309936985605 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.79348720280984 2.6365566143225 35.1953150800651 11.7151026027132 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.7455813151905 4.58729759635817 104.834690396137 33.81057838901 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.753205341885964 0.632474798272329 2.22080198024098 0.851406976529623 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.49392286383079 1.35952991387194 9.59503131332784 3.45736840842502 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.03622503178002 2.93344949219918 42.38468584121 14.58772177207 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.46240441876297 9.52200092002703 428.420771974974 140.932554813925 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.9424180466828 16.1441809026602 1221.56995217176 396.050840473186 NURBSSource NURBSSource 24 241 1 NormalsMax MeyerEstimator 0.223145524243096 0.200193119957128 0.229700667547068 0.148343604365842 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.47080054275611 0.387119521067678 0.878566394241015 0.442810579220171 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.809338262544714 0.703685205920595 2.86019200128694 1.32292640591698 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.5082603648305 1.40686199484184 11.3894113190516 4.78393274341386 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.47449825488328 4.4260680340463 112.074027932857 41.5233522326081 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 7.52533640151119 7.52476709017027 321.621148167544 114.86233132541 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.27954502616605 1.14526554208169 8.01594629934095 3.43599789818017 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.49453026565508 2.3532901179281 33.8579275620586 13.2639441306495 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 5.01764877806503 4.86934033341753 143.560113540385 52.4998955246972 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 15.3026755111129 15.1202948517761 1349.08455500246 463.117720167645 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 25.6706623034749 25.4346846974411 3792.15793608737 1280.94219945389 NURBSSource NURBSSource 24 242 2 NormalsMax MeyerEstimator 0.0490801654787113 0.220362613140514 0.0107620592242693 0.207785034322751 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.15116218183518 0.341521386491857 0.117407324253826 0.426966829974259 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.302028304109984 0.554360542328629 0.497988456735868 1.02078030916274 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.654386217223509 1.01674421188676 2.51345510548081 3.0639648966912 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.38498865990341 2.83374107200937 34.431451980428 21.4141733742984 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.25224912293951 4.65877175164461 108.932589610907 56.6672172208553 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.512064179971632 0.861597119098933 1.54957043850504 2.17779877108763 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.16109865351131 1.61152386160853 8.23893731078041 6.78626994539874 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.62272413876827 3.09706091523399 41.8518064017553 23.404457897027 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 8.78549185952846 9.18218259922984 459.825994124018 191.700309622231 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 14.9202530844087 15.3291754210066 1305.71797856027 526.363626258865 NURBSSource NURBSSource 24 243 3 NormalsMax MeyerEstimator 0.0852288554050628 0.0308305039907358 0.0262345884664871 0.00440406639511313 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.21688060198407 0.101436580673288 0.1461902369959 0.0269455746152633 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.376078464854248 0.221979192202287 0.495771359534674 0.109933460171237 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.687685413110072 0.512222167195531 1.93613833100194 0.498604154938753 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.97018244648039 1.81170135599393 18.5147826927786 5.12903310542668 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.29226158983932 3.14582397269902 52.98781421985 14.6814078820357 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.573250947191231 0.399690907766993 1.29926949956208 0.338337688670234 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.08331744535809 0.911449740551925 5.30306240931807 1.50335767202118 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.13791365840392 1.99089681644628 22.1378291831421 6.42156336813088 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.47728490575764 6.38891317756123 209.63992071344 60.966641074331 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.8449381641217 10.7980504863462 589.291260454994 172.782898452852 NURBSSource NURBSSource 24 244 4 NormalsMax MeyerEstimator 0.0806191180345926 0.0415056134955602 0.0220448690586982 0.00943260092522979 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.237158200412856 0.12403712769997 0.176489050092879 0.0442664683846366 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.423556116053022 0.26305916926712 0.6349579734864 0.168983996308596 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.785272231755014 0.590562718964826 2.5427056474617 0.731375558890465 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.26437771596371 2.04457983910373 24.7692467294364 7.26655658992388 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.78595298119791 3.54504381356386 71.3604260003714 20.6260634550226 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.624813613145973 0.459820760449684 1.59939066736592 0.48283847275618 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.19344581403038 1.0222500583552 6.62642462028168 2.07901168357551 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.37312251650622 2.21139636517221 28.0719236938838 8.74336177673676 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.25784268384543 7.10974043685958 271.143219007853 82.8867577398613 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 12.1917842022334 12.0382020751447 765.915211490783 233.542466903458 NURBSSource NURBSSource 24 245 5 NormalsMax MeyerEstimator 0.14193602420356 0.0356467696794716 0.0689674109975864 0.00544411011982471 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.30974156654582 0.109511957106464 0.29394434803991 0.0345229578041209 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.533218417941471 0.24098683546096 0.936015118612093 0.146732367094307 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.943545535965772 0.585626165820689 3.42237595259372 0.725629881149081 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.54367606481993 2.21803187870825 30.7146391243586 8.19081865991805 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.19632713373672 3.9173747235596 87.1207649311085 23.9071070731638 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.78966493192953 0.448851864161729 2.27554651089401 0.467966678239965 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.43488713303315 1.07221827277354 8.82391193901087 2.26400170675613 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.75036021989102 2.42102405427278 36.0005925703054 10.2200308375464 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 8.22206557915091 7.99410436708533 341.451534656048 104.104752284447 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 13.7502565072399 13.5668512858508 956.567404137136 290.652406869362 NURBSSource NURBSSource 24 246 6 NormalsMax MeyerEstimator 0.139082016673613 0.0849576891017111 0.0625001322310224 0.0249657546845371 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.277138097982928 0.1947222533957 0.24142947209699 0.102196548795969 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.491236415508639 0.368649521146362 0.808591566774195 0.332691527441579 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.934344019187511 0.764257453278442 3.27782041491161 1.26293448917278 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.7709828262286 2.58628938561437 34.1855519878871 11.6574337998444 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.68620102671441 4.51925189316751 101.41238755645 32.987731808926 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.774986057994522 0.607712531879458 2.26408845086833 0.840791674409847 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.49947992824651 1.30554531283518 9.62172066257684 3.33755098494566 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.01716699779039 2.82378346980423 42.338915483444 13.658609929808 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 9.34475806848794 9.15349336898764 423.758739335017 124.927991119218 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 15.7300519128156 15.5250580738825 1202.87101948752 343.786617798416 NURBSSource NURBSSource 24 247 7 NormalsMax MeyerEstimator 0.0315786044535315 0.178550062373539 0.00378432798587362 0.120365651735543 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.1017124793344 0.429602937170034 0.0516084797364807 0.513709942359921 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.256587322176252 0.732697812035483 0.393367641078464 1.3184750885006 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.681509951588822 1.27436821629756 2.80413514375673 3.60393969796553 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.74048838617907 3.30025920953085 43.0723717880739 22.1791073560691 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.88431200629934 5.37148130290436 134.625830235251 56.9220494117102 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.505154949643531 1.06203251349273 1.56654252765561 2.69835476832323 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.28525646708316 1.89754787301355 9.7884872108781 8.15612641144682 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.98735329043438 3.5677831982634 51.2715285601169 27.9163092499529 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.0070544854093 10.513515344896 564.830020785521 232.6475898255 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 17.0169474703976 17.4885224003996 1615.70597855038 624.909773078554 NURBSSource NURBSSource 24 248 8 NormalsMax MeyerEstimator 0.0154425878942168 0.160916232752657 0.0010276214512875 0.0956301255107815 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0976302131642972 0.564056284939975 0.0498134516981027 0.932242998049924 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.274342306778178 1.01761247680778 0.500242291453241 2.77361916054488 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.826245379781825 1.7648408196826 4.50215026840575 7.51536813430002 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.53126975698032 4.49122998837461 77.4795147351786 45.689808236091 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.33061183268898 7.24158230944641 244.522985888574 117.098562101964 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.588260792114849 1.4662159211775 2.18934265461223 5.34020478486028 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.5974316617299 2.56570037341678 15.6752627470742 15.3256846772081 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.79995026889018 4.71794140874021 86.1678894438018 50.6318107292812 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.7823934760763 13.524428027629 949.513966435839 399.941094056381 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 21.6405243184111 22.3038533461325 2679.99560018077 1041.3060467759 NURBSSource NURBSSource 24 249 9 NormalsMax MeyerEstimator 0.0786031285781985 0.0789464530351643 0.0212044322157005 0.0220162455019142 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.18960014616229 0.165174660526718 0.11334151548816 0.0690703162875185 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.349765871270776 0.303677479093983 0.409879176014306 0.202545752976481 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.684554176028794 0.61884583779448 1.71306769732141 0.715820033821526 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.09109003881342 2.02677658978162 18.2297724583688 5.97584634787723 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.55913087853266 3.51084725426371 54.6295538802336 16.4692836646513 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.542877300385001 0.487687472919418 1.06184854746542 0.485500898007455 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.08788784942803 1.0162963897096 4.65324602109975 1.79929182492249 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.23474054038554 2.14775598414836 21.0000607117355 6.92106649335915 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.031755033602 6.91867694718061 218.512723306396 62.0361648912146 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.9013317750911 11.7520285356937 630.314434574207 173.086114844837 NURBSSource NURBSSource 25 250 0 NormalsMax MeyerEstimator 0.390048114797305 0.17961572609709 0.900780517840748 0.125270176050201 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.846023119656755 0.572236077296371 13.0510413614427 3.68531202772103 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.47816820296033 1.1606821188558 47.7674118023769 16.152199018542 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.82856570869307 2.40200658350413 191.266345066235 56.0012987143934 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 8.32273946813401 7.64755085646584 1668.73747735731 480.244225217649 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.8742415905975 12.9729800503179 3699.30373307373 1187.88032066901 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.33702615609938 1.88735557204237 149.182200363449 58.2384445226443 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.47064808708706 3.89629101393827 420.622008625719 169.946362569304 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.7157089501221 8.03226578112596 1203.60600370508 581.375905902095 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.8871187708598 24.7108078811495 5545.23851440509 3942.154992299 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 39.3539697862263 38.5747785794632 11297.7700280415 5755.58204821023 NURBSSource NURBSSource 25 251 1 NormalsMax MeyerEstimator 0.603086885438524 0.598491618364547 2.78949586727698 2.16458011377685 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.5733952191648 1.43741108222076 68.407200663646 33.3963873017828 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.81512574363457 2.53451482571293 258.138425278764 108.192728035227 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.38468618115645 4.86527188298866 937.690982502756 397.308626827089 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 15.249093233374 14.1212372715948 5193.98720098852 2734.78325435893 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 23.562330570505 22.9939769353001 7810.79217856056 6214.34833813881 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 3.92712220183446 3.73725230174619 494.460065081721 223.712985342329 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.97669617154555 7.62958698673091 2288.0272830792 1361.70351817084 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 16.9502032554239 15.4936661678247 16377.402054945 5058.59540443857 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 40.871643930218 40.6639460444328 20199.6691490647 12831.9846691781 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 59.0014057894228 59.1982310156777 29046.0558726719 15771.7951668908 NURBSSource NURBSSource 25 252 2 NormalsMax MeyerEstimator 0.116738433171901 0.610199223242704 0.057215125072705 2.24668725070872 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.50338574698453 1.06618392399369 7.8254321914599 19.8992019074605 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.07406004676108 1.71653419098231 34.8068975917813 77.8509072377765 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.34305356654691 3.08169603709397 148.8845597781 270.775518957572 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.52223298935258 8.74539228982751 1077.07348083525 2047.23218731902 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.6502656640872 13.2499517391243 2774.96390374985 2576.85066165648 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.64536403532959 2.33949842661394 49.0426949098553 82.3602201294388 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.7139609849034 4.47083270839382 247.548434732935 394.932737909148 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.84003449719124 8.58507203170844 953.039683811037 1237.57955274429 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 22.6757228151235 23.4090633839996 4935.35616127364 4493.67679284448 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 34.8853180038464 36.1489515563236 9559.74610387216 6501.94797163105 NURBSSource NURBSSource 25 253 3 NormalsMax MeyerEstimator 0.234731489383049 0.129687571599475 0.664972848887744 0.186105653083239 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.745459254205629 0.474511212343741 107.695242117599 5.23304228685697 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.27308894015333 0.941362377596486 237.336181863127 19.0740588892132 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.30251465973289 1.94295217926084 467.503934435827 71.0004389710793 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.29435927203857 5.91509700518414 1251.94494772529 431.530757028518 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 9.97236413989841 9.74830694406696 1880.39404090213 879.381865455892 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.66573551316708 1.56875182865042 82.5609452377863 79.6500185812645 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.20971266474085 3.22982986922028 186.916483996207 267.994892309947 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.22265830548956 6.69405012777267 512.008702732983 922.763552918133 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 17.9347589739976 17.6695463370532 4180.73115821424 2105.32155036994 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 26.6572248155811 26.9565914089277 5761.33738518633 3095.75598781996 NURBSSource NURBSSource 25 254 4 NormalsMax MeyerEstimator 0.233482691939549 0.215241494148998 0.256217451244527 1.28589165525184 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.579804133008316 0.575819585946376 2.65261071170609 18.3852386955435 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.03198908822516 1.12348264434229 10.0982817445865 120.199282323474 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.00509151347261 2.63679835605971 43.8556101561372 2166.73027648625 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.72686759179016 6.6140469534996 2128.58129861377 1175.45023440921 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.7684920553046 10.3983695257061 2759.63282331315 1146.2476277414 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.82894917057151 1.79079340073307 69.3642625492915 160.435638965111 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.64231587556444 3.86009753946868 273.521940479387 1183.74381312068 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.20329611287793 7.72588256915275 854.643852483821 4413.00414110362 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.8732477883292 19.1356812367623 9494.24983055813 2375.63133496403 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 30.1262909516483 29.7303082903971 7502.13921392206 4472.59231225509 NURBSSource NURBSSource 25 255 5 NormalsMax MeyerEstimator 0.374991791127757 0.135126090976933 0.97229300465966 0.193378691487042 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.820742393450336 0.465977368604873 15.7366859295908 3.71341359651729 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.39969791269661 0.960550863074674 56.1890641883841 15.2648686536932 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.59846384033001 2.04367318231332 210.295652295741 60.8593787682893 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.68125327169793 6.5739231460997 1572.25671023037 461.983862368504 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.3211174799563 11.0643178794047 2831.73915871071 1036.24901334227 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.30289779648167 1.81729551877328 121.853642351351 91.2120473019765 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.44819005144823 3.78497654346385 408.622443813703 270.040916139871 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.97338306775658 7.74522236965974 1910.73143132463 817.262899368135 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 23.5676051644801 22.427540710513 7767.03991664218 4592.97468698211 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 34.2703720324158 34.2570415189785 9645.70784074544 7583.36074699439 NURBSSource NURBSSource 25 256 6 NormalsMax MeyerEstimator 0.266011896263601 0.190075143960119 0.281375607247762 0.174373705427188 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.713873395841729 0.681233816499858 5.68854424836046 10.3991946548588 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.31293310218452 1.33640914977101 22.2863427747938 40.8049813653023 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.56803634159756 2.72106919092915 88.8239938823781 150.720167401807 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.8178558670089 8.26444241326601 851.430752860326 851.874747742963 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.1216139819054 13.6429536933756 2171.71343884584 1724.8624482677 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.21430485237058 2.30902491740292 71.3854477237255 113.066928823408 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.42477581115623 4.71968531731379 266.472202639523 390.302382920191 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.89240314415453 9.50895565607166 935.499637371665 1181.56742830132 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.2795554948258 27.6516614584466 6884.34533628551 5680.43019018773 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 41.0243709858367 42.0896141282632 13497.2961760982 8667.30374303795 NURBSSource NURBSSource 25 257 7 NormalsMax MeyerEstimator 0.0822174732619501 0.692653853036351 0.028226517775243 2.34360551849636 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.603350742144583 1.28931347738105 22.9347121968408 14.3231459906758 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.36427558406626 2.08411845062622 95.673366745534 55.760023560202 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 3.06479603634387 3.69238512435858 426.261166415335 205.962654628441 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 9.79894572141903 9.86902403469745 3843.47315991664 1142.65838773257 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 15.9272137182471 15.7367154874378 6608.08672500188 2388.32899850159 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.33090304847257 3.17912093066784 287.323404093879 312.91114897213 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.80727894827705 5.75517589519672 622.612029144551 1143.65230778919 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 9.58444547044029 10.8500423764231 1546.86262762873 4332.01019608653 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.3263974058818 27.4492521349024 6865.44680546964 5809.273460848 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 39.6654741504422 40.3151563434028 12603.6922039454 7549.34399524281 NURBSSource NURBSSource 25 258 8 NormalsMax MeyerEstimator 0.0865965371072976 0.493048739246654 0.0810959919840108 1.28085112700413 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.799194983910977 1.51239643701046 37.645719913121 26.5793935118907 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.95319874082336 2.64493871677135 447.565886835923 92.9243337870272 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.15399902113266 4.91678361276763 1376.32645003049 356.642310894152 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.022408833927 14.5816909123614 2368.30545284137 4841.16375552596 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 19.7938289676806 23.0165869822623 5571.96897891954 10222.6100548051 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.962841288348 3.91666697050949 501.708078939865 398.246647213372 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 6.19767779914957 7.26260213371515 882.9759579905 952.258034784232 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 12.6705011907352 13.8892933823256 2385.12427417674 2483.06709466384 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 35.4789512175526 38.1762313017678 12804.9268607293 13228.4476648912 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 52.94641121844 54.4014812127152 22341.2944415408 15198.3833884692 NURBSSource NURBSSource 25 259 9 NormalsMax MeyerEstimator 0.178225589013163 0.297083561559128 0.0988573511210418 0.516377979582198 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.619226957952046 0.691904228330406 37.7446312250775 13.4841191316065 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.12265819460014 1.17860955883273 66.7760360461308 28.1950415489959 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.19109465228967 2.2077152834153 155.639640090662 73.02147565839 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.55762868267122 6.44891839931071 852.797942440146 459.845819270975 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.8466142811882 10.7600977383545 1755.53814270808 1161.15296012306 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.55502328483023 1.61272271865119 51.010521426559 28.4061317754326 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.16226135277567 3.16618969572406 193.644052236256 91.9295986917487 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.43661161760692 6.32836690277438 677.476569765201 315.885615369025 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 19.1494764203135 18.6703921925725 3928.05070184437 1932.59264384737 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 30.7982041814539 30.0744827918877 8605.54677983704 4012.10327176068 NURBSSource NURBSSource 26 260 0 NormalsMax MeyerEstimator 0.000127283786714726 3.89803733858517E-05 6.45283731847276E-08 4.91773450953049E-09 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.450602588335023 0.486033088214025 0.686481206878065 0.589949299536358 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.930172027688636 0.977888591630563 3.31898316357652 2.04638113888717 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.95155277520771 2.00189590203381 16.1961814072836 7.25553064086097 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.3131121252021 6.33428549265414 182.401166133008 59.9449386305759 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.7695322772554 10.7564648112432 537.187503246453 164.421382530675 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.54595038260594 1.61104420616654 10.135766388504 5.16210002666727 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.26469682744093 3.34473579813387 48.2257439429604 19.1693417348054 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.83333955874868 6.92534760253733 217.256569960422 74.1720818618749 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.3397357333246 21.4611888259399 2145.69508492974 655.627580160237 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 35.8485116007048 36.0072425386654 6056.53296217263 1810.88633510975 NURBSSource NURBSSource 26 261 1 NormalsMax MeyerEstimator 4.86952750064838E-05 2.37404074785486E-05 8.31422009551402E-09 1.7705797273102E-09 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.599697658885394 0.822678123241439 1.74588134799437 1.74116012062612 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.31101971559759 1.55880332390963 9.2439581431136 5.81103600341241 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.80687589191618 3.04615093046299 44.4869520762284 20.971177871299 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 9.00379280146508 9.21357017934689 465.360415329852 177.350587435677 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 15.2635415733358 15.4669144056024 1336.87444737481 486.308173753661 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.24387116575773 2.49637272085203 28.5934886377127 14.6110777981435 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.74103682914053 4.97563050943202 130.110296441719 55.0842215267916 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 9.82116990170242 10.0396713364674 559.652861961699 214.237008336742 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 30.2445273831708 30.4445053842189 5281.52496810354 1866.36700833363 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 50.5842465312434 50.7700227103514 14703.6151140691 5074.38744551618 NURBSSource NURBSSource 26 262 2 NormalsMax MeyerEstimator 6.55332569132465E-05 0.000285077799848255 2.37061519003621E-08 5.27532539540005E-07 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.443443644172026 0.823187217081829 1.11572582748041 2.06337675961173 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.00572232631414 1.55670431262313 6.3169609973261 6.80043856632163 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.30017015618933 2.93189462458631 33.9700346125913 23.3131311864572 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.86061384213466 8.43998190249304 393.061978371444 190.070908585626 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.4976030955209 14.0311904684366 1151.78773493735 518.017441203664 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.7824877652543 2.38399900853928 20.7084865869089 16.0129924607994 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.97793383830494 4.57846782476142 102.535888139911 58.4444014275676 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.50468967590018 9.03653779937489 463.038046266901 225.028699951745 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.7174903151579 27.1406480249746 4494.66704958125 1963.97936260999 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.779073526276 45.1610044118083 12516.7604321857 5344.04998650678 NURBSSource NURBSSource 26 263 3 NormalsMax MeyerEstimator 2.01915836770723E-05 1.43671263937629E-05 1.23798601998274E-09 9.44908323368094E-10 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.251649032583005 0.224360818364149 0.220633380234389 0.122102588223621 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.510241576612667 0.467172966024628 1.01696971706577 0.435565795743576 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.04693021447123 0.999290887056619 4.70552635930593 1.66191030131524 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.30157002755012 3.2597973399191 49.7591552968385 14.9215594469052 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.59032606266636 5.55210906787732 143.979501803149 41.5863756496721 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.832570526099438 0.781272221590292 2.90962199947686 1.07218777350804 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.72390122807116 1.66783337273852 13.2339997248597 4.22073033500452 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.55376910664821 3.49044083784269 57.6554620133762 16.9543116745139 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 10.9497261460855 10.8456471957989 553.898459341258 153.194432750265 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 18.3477146607069 18.1905327158785 1556.37221578223 423.2508267046 NURBSSource NURBSSource 26 264 4 NormalsMax MeyerEstimator 3.23595624727666E-05 5.85452542984395E-05 8.62461206707505E-09 3.04455829779652E-08 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.273678331689446 0.250865097892425 0.257177986347756 0.14706954083788 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.550869892526408 0.523424594890901 1.16037857416156 0.54517974166562 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.13009016698819 1.10424043577771 5.34347274520453 2.05748635870339 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.59380359872954 3.5595187515287 57.7839637212848 17.9214444783844 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.11146247988479 6.06248348816201 169.073452145274 49.7327318426863 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.897241102683137 0.885639702792496 3.3505246755752 1.38669774969458 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.86529741059161 1.86864602814698 15.3577211028645 5.36276572974609 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.87251448188943 3.89685790673555 68.0088513506703 21.218486974026 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.0265779590471 12.1294902938115 665.104917367408 190.67134020137 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.1950857094677 20.3643814917755 1877.86687819002 528.952587499011 NURBSSource NURBSSource 26 265 5 NormalsMax MeyerEstimator 0.000114380901094525 9.24821057229601E-05 5.91775499154359E-08 2.16906065286232E-08 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.74099384625173 0.454196786309111 2.05768169518739 0.494163900419217 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.36274331513625 1.05047529642081 8.19708367395316 2.32321056527359 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.60152774887912 2.31007973133823 33.6215495259844 10.1429408932997 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.73290819476524 7.50418443950708 318.136462387125 96.6240460053744 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.9404914810887 12.7297413142806 897.290782169528 270.53863639568 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.14261046013099 1.83877100816224 22.364655914895 6.84211390436214 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.20733261427095 3.93565087036996 92.5283785156886 28.8088993830152 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.43220375513856 8.18731884138034 381.21210644699 118.078093842252 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 25.4668250365224 25.2071000820435 3495.72433335006 1063.22825777193 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 42.3313438872252 42.0126110522324 9609.68332402439 2877.6618725569 NURBSSource NURBSSource 26 266 6 NormalsMax MeyerEstimator 6.46131810428506E-05 4.47194770643555E-05 1.08950185975527E-08 6.29304578673034E-09 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.71750032024113 0.36696975733915 1.71571862954583 0.317433966357496 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.32783626483666 0.870887739429431 6.80821708672907 1.58010666429101 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.49389198452714 2.02446523139697 27.8545066401486 7.56006129651493 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.33415553416996 6.92863637134247 267.982645940234 78.3862124888688 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.2805513795919 11.8906511588916 762.118844475236 224.148023891156 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.02517999598392 1.56862734567116 17.78185437642 4.80430747077741 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.92495134643732 3.51037129177509 74.0709261099907 21.660211689059 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.84938579087612 7.492001270171 309.239683276494 92.342610828493 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 23.8125137432315 23.5190895729732 2894.28780771596 862.283554448243 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 39.7454273008926 39.4883877648415 8056.94884594256 2386.31206835872 NURBSSource NURBSSource 26 267 7 NormalsMax MeyerEstimator 8.51159766655764E-06 0.000106737548248368 1.69036535971063E-10 6.27978685836972E-08 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.219150339358466 0.529958933571399 0.173862719314686 0.727907803705734 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.53204049665587 0.986246006049663 1.20160607416457 2.2307893193232 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.31599049649285 1.81784888563589 8.02366576031676 6.53093517047771 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.80955171373917 5.23437795786904 111.347165209451 45.1976133607839 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 8.37535649708527 8.75559649382269 339.163425875325 119.685749804658 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.00723608293945 1.4912634647952 4.67855404291658 4.69647426323038 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.38046694823131 2.83998369879796 27.1134923729921 14.9191019524407 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 5.24963971186816 5.63745827850675 133.286628202576 53.1245436658154 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 16.8684208364143 17.1182983791178 1379.69878793345 444.776648591673 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 28.4920311094964 28.6545209787097 3928.42792494821 1214.16023024935 NURBSSource NURBSSource 26 268 8 NormalsMax MeyerEstimator 1.00095825651763E-05 0.000109035435193655 4.36393874920769E-10 7.33851684639024E-08 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.286156259356851 0.740799582544332 0.35867374884123 1.61345513403139 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.692796620245247 1.38222452643857 2.35427616132591 4.9615873565427 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.7241974674359 2.53212485027176 15.6218081379795 14.5244804508321 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.33416184603558 7.08846042482318 215.693188118194 100.553428430755 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 11.0400749878063 11.7252483782294 655.70744136701 265.910747279688 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.30272587710504 2.0878703108363 9.02102352857457 10.3679640064875 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.0945809712385 3.90983946077234 52.0598661231468 32.8812028790377 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.84250524210873 7.59977946194165 255.190627143833 116.920595278458 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 22.0082778435994 22.6274046395859 2625.41258934579 970.766272643254 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 37.0962499896158 37.6518312654851 7416.24395139803 2608.3740874531 NURBSSource NURBSSource 26 269 9 NormalsMax MeyerEstimator 6.16254492438587E-05 0.000129855958955211 1.72427417125078E-08 4.66499703041827E-08 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.536705307473969 0.2884264847189 0.934662637356931 0.167719566989047 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.01950389373586 0.660153856526514 3.73457442870672 0.741938970383967 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.92984707619049 1.51941508131967 15.0255130774228 3.35517816954788 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.63208005135213 5.26355944106146 143.055876816748 34.7521379099106 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 9.42433163961245 9.0788284283467 408.041526977723 99.9650367352686 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.57868141162014 1.18353719439049 9.91806313948907 2.20809305825454 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.05529047597799 2.66209449236349 40.7484202596272 9.84716130047829 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.09452541807196 5.73468081877512 169.827079307234 42.2963315709846 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 18.493959747693 18.1717706590579 1597.36151160101 400.456008516657 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 30.9009296041767 30.5855852620089 4463.56429044841 1116.5938500038 NURBSSource NURBSSource 27 270 0 NormalsMax MeyerEstimator 7.02957751993818E-05 2.54904329982736E-05 2.23669969009586E-08 1.34941290778391E-09 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.50330363197909 0.387838876837104 0.887424601875979 0.324772396706916 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.994283658613817 0.82474231638381 3.76507238104706 1.25546003214675 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.98769856622466 1.79755384556537 16.4193143314992 5.19693187074013 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.17325228512893 5.99157302237094 171.531292136795 51.2965336536991 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.4574149027599 10.2724610215333 499.298298924209 146.632287964968 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.58193487943188 1.42376664739461 10.3624524865237 3.52274565672165 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.23725963119334 3.0923353762511 46.1527975158604 14.8855745080161 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.67001153546248 6.55049357416195 202.002806978146 62.4791303769087 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.6431119480945 20.5933829351708 1963.57274782734 586.147158508068 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 34.6352065389239 34.6465088083625 5530.04068184514 1639.51025540558 NURBSSource NURBSSource 27 271 1 NormalsMax MeyerEstimator 7.61206620514605E-05 6.00606258275649E-05 3.80224384989335E-08 6.13608992492413E-09 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.780252916802815 0.772487633778967 2.63938547524894 1.50819021564015 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.57293589836055 1.56444715193883 12.2763381897308 5.62464316464593 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 3.20774819371112 3.20280598047965 55.0752346904834 21.7142216970308 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 9.96813020167172 9.97114035111011 550.127129886894 191.665386149965 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 16.784639632031 16.7989264838671 1563.33157323243 529.271490759803 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.6134160685129 2.6055607502283 36.4644619865904 14.8649132126126 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 5.35547452671577 5.351441252538 158.823141514579 58.4094407703921 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 10.9340347431886 10.9358716874673 668.420230649629 231.809409215245 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 33.2752481539219 33.3149018591245 6171.96339655513 2046.32301066149 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 55.3285805120703 55.3907678770276 16940.5058019287 5521.50411005857 NURBSSource NURBSSource 27 272 2 NormalsMax MeyerEstimator 2.17686596124799E-05 0.00017297752464435 8.87308968488103E-09 2.13959567373666E-07 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.306275601250358 0.688892112381083 0.43721427250829 1.52227507413705 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.718497675166679 1.30279486567618 2.73480042737149 4.81965965906034 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.73361437724201 2.42465479387134 17.0278917186116 15.0853230614989 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.25194156460729 6.8931327482619 224.652260679883 112.970205399792 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.8658092266034 11.4578593093484 678.001237827908 303.673494651217 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.33551866780265 1.9855097034105 10.1456337503152 10.6685965747272 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.11344617714318 3.77569170231919 56.0386639488931 36.2419318287569 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.82677713694727 7.43508369255684 268.866128213115 134.470564391191 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 21.8487585759602 22.3855818977026 2732.80905804357 1151.8292247028 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 36.8339489746727 37.3489098120577 7733.74500111522 3129.68599774018 NURBSSource NURBSSource 27 273 3 NormalsMax MeyerEstimator 1.45726488193583E-05 9.41042194796242E-06 8.38803309868173E-10 5.02156321407931E-10 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.375836257125595 0.236849505893429 0.478748079535954 0.11375640844522 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.708451011128637 0.548998302099096 1.97792810140847 0.512143572346 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.38311013981173 1.23157886637746 8.39934886621166 2.2402833241844 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.19818139717938 4.06767684286264 82.2966798659426 21.6637304183986 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 7.04830988987103 6.92404888901088 233.921456277484 61.0838109619348 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.13579462665607 0.976799572211322 5.56624154894768 1.48965340318429 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.27211327495281 2.12607949957358 23.6901324644793 6.36321122972365 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.59735321513588 4.45943638700604 99.2476981752668 26.3829514704733 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 13.9728543811599 13.827003729276 925.74622134219 242.897566815067 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 23.3343047288365 23.1669269652043 2581.60305740837 673.932962392973 NURBSSource NURBSSource 27 274 4 NormalsMax MeyerEstimator 1.26969204631342E-05 3.24341595893902E-05 5.96765726187155E-10 9.28543502883243E-09 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.409047695834508 0.279850876208269 0.570592980483555 0.172545111112068 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.780254467169325 0.627578999524816 2.38492200751829 0.743854230152153 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.53045138378338 1.37796675788718 10.2218013208233 3.13935869756265 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.66472270983044 4.52708034102368 102.316557504529 29.6359392572516 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 7.85705714116587 7.71858436622802 293.673677930099 83.3091134632517 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.23283135365612 1.08072289910262 6.56978185860079 2.0517778506136 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.47318677239029 2.33078499781697 28.3169335143545 8.54195013059786 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 5.02881729531514 4.89593848971939 120.494787381232 35.0702868764729 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 15.3927785301693 15.256417942298 1144.01567415622 321.644695210743 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 25.7646106859288 25.6134780342816 3207.52202515838 893.56276187203 NURBSSource NURBSSource 27 275 5 NormalsMax MeyerEstimator 2.87010703303976E-05 1.31474383423352E-05 1.91075680408439E-09 4.71273128939161E-10 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.518213913547738 0.250295693815823 0.862226078649436 0.139127511555898 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.949121058173282 0.611719195833692 3.35283329946763 0.695976822404773 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.778213639496 1.43710497207685 13.5585686307108 3.27750380411273 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.24162977883651 4.94551285498377 129.784663105072 33.4248853841895 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 8.7787975747531 8.49589223539758 368.785638563121 95.2291089425515 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.46309731961224 1.13005911924271 8.93166652655913 2.14620534588125 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.84212050770135 2.5392180404509 37.0148649314374 9.57618055130686 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 5.69506729693941 5.42662133482462 154.264782269248 40.5729228191575 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 17.2824581789316 17.0536093889936 1441.91252497436 377.81871976224 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 28.8614962400966 28.6501035295402 4021.17877160251 1047.50193796708 NURBSSource NURBSSource 27 276 6 NormalsMax MeyerEstimator 2.71129443028549E-05 1.836547609603E-05 7.95199437682543E-10 1.24358594236337E-09 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.485731971844069 0.385928760257554 0.751927030378525 0.332130352019927 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.959207985015551 0.812137964953388 3.33253540874614 1.24991311706482 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.91720505268801 1.75468546950429 15.0964828406578 4.92596673081021 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.98369970280292 5.82594266757957 160.811838060228 45.5697654673855 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.1438664201886 9.97706726664825 468.488140689168 128.037282928741 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.55717084027016 1.40196704792097 9.8259031552863 3.39887815312966 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.18062652422024 3.03211760186608 44.4531260525551 13.8176807170783 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.5483077908886 6.41296857803476 194.92675767893 56.4410454018882 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.2246842022738 20.1115989242842 1889.71361942263 518.432645539099 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 33.9176331434142 33.8366671576383 5322.51983386756 1446.40062374514 NURBSSource NURBSSource 27 277 7 NormalsMax MeyerEstimator 6.55841266792409E-06 6.68836264035903E-05 2.15112200811312E-10 3.3587902823596E-08 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.264945847295038 0.772599840715572 0.377058476621357 1.45980251235127 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.728374922692152 1.37614388613503 2.96439829002292 4.17599112782856 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.82831338795467 2.49020150046799 18.4713236327471 12.6373030701484 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.51215939603903 7.07062200034609 230.197305470806 93.7405884817236 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 11.2434247436388 11.7594877782309 683.094271959012 251.54092864275 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.39582794996978 2.0559190073082 10.8480197735659 9.00748302799573 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.25840829325852 3.86786644914713 58.1440735360972 30.0192911028191 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.07243047847497 7.60664232452393 270.85358591673 110.281838082754 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 22.393577962398 22.8473777949352 2688.91969049789 936.607679425361 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 37.6065611351931 38.0486059678796 7545.03913175399 2537.60517890761 NURBSSource NURBSSource 27 278 8 NormalsMax MeyerEstimator 5.88729931093655E-06 9.69731435092195E-05 9.59232806508296E-11 5.32605470415764E-08 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.309179979846248 1.09304150602347 0.521831903015962 3.07394873007168 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.911121975435095 1.92283873171853 4.79666922153568 8.46533969297162 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.36076000347955 3.4217343902405 31.9799461930928 24.7078388900656 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 8.52685443188598 9.46633061621574 410.572718346189 178.463073019063 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 14.7509802052085 15.6261379212581 1223.155774869 475.930565363261 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.84366782881797 2.89444262457764 20.0625801397199 18.4458154668587 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.35236046300353 5.36099108535405 109.809700841467 60.5278758772286 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 9.4791946027733 10.385409896464 514.780352729628 220.51185101756 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 30.0237834976771 30.7644193393902 5098.24039500531 1839.83843425914 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 50.3011827204827 50.9741799658787 14179.4919602732 4874.95211968316 NURBSSource NURBSSource 27 279 9 NormalsMax MeyerEstimator 1.99402422667229E-05 2.67608519495137E-05 1.72931281002564E-10 3.13637482696272E-09 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.347694737283472 0.310311772276519 0.380080676453485 0.195079837602383 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.698404681014918 0.649062634545685 1.6752068918946 0.723594600290559 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.42328966932779 1.37042882111019 7.59952962201163 2.65448654428338 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 4.52311581712715 4.4630984684087 83.3105108383779 22.3479808072952 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 7.70359586720897 7.63212411501109 245.659476169666 61.7740086612292 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.13277732329941 1.09036277857762 4.78445408021573 1.8293871587731 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.3428290494823 2.31184306877348 21.8985021873976 6.89340485697703 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.86990402073325 4.85995901911889 98.0868528416593 27.030252598383 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 15.1855993839556 15.2453230769178 974.572011132301 243.087151159718 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 25.5359055708115 25.6554047351026 2764.50489084447 676.247150610931 NURBSSource NURBSSource 28 280 0 NormalsMax MeyerEstimator 0.110558740531334 0.0739548054274466 0.0418348573275017 0.0185477418706192 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.620161566189985 0.485266167567908 1.46133652531682 0.521206691474096 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.20739715148891 1.02693120017075 6.06899745671367 2.06781603974856 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.41373010060251 2.21897322489119 26.3931737257944 8.73155433512705 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.47658410986545 7.2835002328442 270.024716565055 85.4513855514099 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.6373530328873 12.4319231181109 778.969192612789 242.957325189216 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.92507925831771 1.76695449443697 16.7809994245045 6.04342002514568 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.93398310741282 3.78939389289791 73.8432434584991 25.5740244043068 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.07372898521133 7.95208574435458 318.165107013361 106.612370083935 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.845027978021 24.7860331121053 3040.25155414171 991.089940075545 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 41.6149328403687 41.6281009538267 8510.65345633786 2753.12582871354 NURBSSource NURBSSource 28 281 1 NormalsMax MeyerEstimator 0.240073285645036 0.259063608727116 0.310990370498807 0.282412205865825 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.991691218080661 0.971111667998645 4.65756489962741 2.59249714210687 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.91791470537244 1.90371033878404 19.5406707975303 9.06095899645385 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 3.86615462145189 3.86024361036511 84.4303084643841 34.3967020249064 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 11.9269059374363 11.9255373739445 823.76712813363 301.08755061399 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 20.0475401743372 20.0412194720542 2328.67352862003 827.834955623503 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 3.16673974326801 3.14700694319687 57.6012586548716 24.5749462342572 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 6.45633981364517 6.4231294067357 245.825120604318 96.1209165056652 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.1356279872892 13.0713086012121 1023.44823544042 380.199392927849 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 39.9097113163951 39.7100942757254 9393.59527431378 3333.16986519294 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 66.563228828169 66.3075049300654 26085.3012440148 9163.50699297915 NURBSSource NURBSSource 28 282 2 NormalsMax MeyerEstimator 0.0528410435687057 0.251840444035655 0.0127614945349002 0.258293432973053 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.408471649197402 0.839329954760541 0.924725682384232 2.26320171015782 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.943074645372492 1.53164974905688 5.36339794272083 6.81201478010093 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.2011729547258 2.86094474881605 29.8820209981025 22.4261666805716 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.66126313698744 8.24363598711365 358.283796309598 178.206267519481 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.2132185831329 13.7341117824727 1059.51035200054 484.917226082351 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.73206234378494 2.36561374196005 18.7915632128028 16.2048371785265 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.92143563620509 4.53315017391984 95.6007543490003 57.5878462383624 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.44859948348651 8.96407575102191 438.890982169487 218.370040817021 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 26.6789374073195 26.9791761283463 4312.35133986385 1881.78581329745 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.80158707597 44.9493001817879 12072.3256637378 5111.32183934692 NURBSSource NURBSSource 28 283 3 NormalsMax MeyerEstimator 0.0902313411475069 0.0405975965495267 0.0331783885554033 0.00792027872697046 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.456633942539665 0.310437620717897 0.779364063704982 0.216595926101543 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.855144447053057 0.697831912329874 3.15300856473016 0.927072314048475 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.67713216402566 1.53326607069398 13.2709616784183 3.93851246019794 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.08888013446781 4.97471160724788 128.035462214267 37.1909876569097 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 8.53383529123223 8.43294609836127 362.038083282137 104.118417918847 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.36811471468717 1.21827276601637 8.70771266844733 2.58448062057631 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.73851129159204 2.60973199502012 36.6649071187573 10.8042847677664 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 5.53073267408351 5.42595890363189 152.167756642348 44.2616757427395 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 16.7718250850236 16.7228937199214 1407.58881412516 403.068129203044 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 27.9991624018833 27.9894434791083 3919.93534388676 1114.23253780978 NURBSSource NURBSSource 28 284 4 NormalsMax MeyerEstimator 0.0864288878522568 0.0501024172908521 0.0266623166083481 0.0152285844018149 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.49428780775183 0.354095508248919 0.91511586540895 0.299762110129312 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.935542937909795 0.777291871133656 3.75233148801327 1.2461265160325 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.84034408900438 1.6851790834596 15.9543250039856 5.20469427994572 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.60606935757338 5.46945476410317 156.986242749981 48.9528754630884 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 9.42817770948888 9.29783574903028 447.663494895048 137.702770518612 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.47565247939767 1.3213659764819 10.1713706171985 3.44884854911336 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.96477952701304 2.81820368608767 43.4600010127117 14.237456047707 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.01751298718793 5.87628945414857 183.101509962957 58.1032945050112 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 18.3813540659477 18.1896880094141 1721.87537374723 527.4794945043 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 30.772436484135 30.5012818578335 4815.05602968647 1456.78918943704 NURBSSource NURBSSource 28 285 5 NormalsMax MeyerEstimator 0.148676617938999 0.0473737658972772 0.078885200851711 0.0111557726805659 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.625576763020973 0.332684664955383 1.36396437988907 0.271720862213727 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.12604747618961 0.783254028162626 5.13856747238592 1.26954904942132 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.12301849180463 1.79086154560312 20.7050340186133 5.7270608353416 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 6.29045834851737 6.01157198255361 196.339649306123 56.4622825042291 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 10.5288613699891 10.2682122845488 555.209834217689 159.559773858923 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.73362784845732 1.39166181620416 13.4918276608371 3.68911296735085 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.38371997303084 3.06969035331965 55.6622529409682 16.0002332398734 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 6.78222185487279 6.49182677364589 230.469662402435 66.8623591298908 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 20.5614952373687 20.2588848014496 2141.51845467165 619.405664977576 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 34.3673370380794 34.0130507269607 5978.11014366762 1721.6214716022 NURBSSource NURBSSource 28 286 6 NormalsMax MeyerEstimator 0.127409251652962 0.0897098632954994 0.054452282523678 0.0282587172689438 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.605374868679069 0.486719557173084 1.30505531019069 0.558739867536332 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.17254705995296 1.01633856095669 5.55609373122499 2.11426577412681 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.34427242767309 2.18123752499113 24.7024758677494 8.49666767518829 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 7.28425418458096 7.13238842265785 255.032406965411 78.8486437762076 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 12.3097471857039 12.1531044483872 734.887479365355 220.949256921325 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.87333417175923 1.72053651454806 15.6269513753859 5.64504093950587 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 3.82527352554721 3.68236703327312 69.3171938181524 22.996594171668 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 7.84939095707883 7.72226431406875 298.890771863103 93.6211296488438 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.1430648116013 24.0485967913204 2856.60621484555 855.502942841417 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 40.5022445853864 40.412100969385 8047.60136806057 2398.34918288326 NURBSSource NURBSSource 28 287 7 NormalsMax MeyerEstimator 0.0336629307498256 0.20193105801572 0.00440368256591475 0.160386173887148 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.370386102894686 0.921710992213994 0.829867917369985 2.14314162721823 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.966695741702 1.62102419136758 5.62786903563998 6.14758383290499 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 2.32150130885015 2.97153735536687 31.5886528916734 19.8295435919264 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 8.00414571230061 8.56024560236577 365.64618829869 155.629742253761 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 13.7358625840331 14.2610721373528 1070.23095478258 421.467163682842 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.78761413334336 2.43389487805826 18.908761370457 13.5278935834709 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 4.04764510439473 4.63675679448897 94.6495157437761 47.474299329918 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 8.64931757377263 9.16601869735521 426.157900414847 178.77188274925 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 27.1421160497604 27.5740288909906 4167.97737092461 1555.25397935831 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 45.636321040522 45.9906803094129 11759.4583253285 4275.96067280751 NURBSSource NURBSSource 28 288 8 NormalsMax MeyerEstimator 0.0237499409573042 0.194387019365539 0.00378536719502645 0.159398229903205 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.442190820752321 1.28828896644784 1.26264851585072 4.2958413308498 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.22590321992278 2.25229436855235 9.55614875464343 11.9920235232995 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 3.01508293500601 4.07009860036668 55.9230924110342 37.6140606142082 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 10.5080729189514 11.4383986515798 658.957143576815 289.007674523175 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.0594304522531 18.9130532920547 1932.90118512656 778.368685600997 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 2.33378630689515 3.39773373371856 34.008879573968 27.0889715593677 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 5.35235569989094 6.36621844850422 174.156771890229 93.5231286756313 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 11.4943246193204 12.4152538661778 791.457506884082 349.936372592718 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 36.1460919972337 36.9651386526205 7723.26389552047 3001.97117013727 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 60.7334042417384 61.4825612127567 21646.1598082272 8134.33288589143 NURBSSource NURBSSource 28 289 9 NormalsMax MeyerEstimator 0.0801428814255122 0.0834941364290264 0.0222368009078278 0.0255765719011027 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.430724790502636 0.39344021915077 0.637314237186568 0.327558835826572 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.851950547482768 0.803199346062616 2.73166070966504 1.15896935295058 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.7354230094152 1.68005564766981 12.2976514939271 4.29347250944175 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 5.48916025436785 5.40777478046889 131.298120700634 37.1201510118449 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 9.31926492254014 9.20959932685401 382.866562023969 102.914527341623 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.40143339143747 1.35201597614235 7.96535521963928 2.96786478633368 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.89027008477859 2.85092203346559 35.9266760892876 11.4689276118038 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 5.97657544466807 5.95367687734473 157.888071978036 45.575561215088 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 18.5250643084619 18.5449916773655 1538.8963274762 412.082633659499 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 31.1186392471731 31.172592022279 4346.48052556309 1148.1203211619 NURBSSource NURBSSource 29 290 0 NormalsMax MeyerEstimator 0.414182746139705 0.185846834594162 2.30861168512927 0.142249025801791 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.99636480634688 1.97156180380446 256.571673010777 3849.77913546729 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.82430026413105 3.96914822266542 831.810287792465 10238.1616407712 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.50315573863529 7.78669113983139 2570.49797995393 17185.8333700689 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 21.7177938453536 22.0331837238735 10272.0566907238 22654.61758773 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 35.3431072201031 35.5371061857085 18396.1480403582 24807.481199909 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.88670508582251 6.30290078510478 1278.24642931827 16063.0418480512 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 11.8184208334544 12.696895262947 4543.6526984094 38460.2940764333 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 23.6511168237008 25.2547639762098 13150.5845551581 72015.9123200442 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 66.4507120836946 65.8871271980729 52188.5030632598 47641.4840206815 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 102.699363406968 102.430178411348 92337.8562892306 60081.5519372522 NURBSSource NURBSSource 29 291 1 NormalsMax MeyerEstimator 0.658888648962211 0.684172609603735 4.70254479936569 4.0292553680853 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 3.22578992762214 3.28207018497111 397.696501666171 765.300443141837 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 6.41006714395205 6.49745623979059 1728.06817667744 3945.84632853046 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 12.7017604590988 12.6322671772651 6156.64483705422 10313.632074631 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 37.1026063827825 35.7514427690425 35231.3880190539 26903.7339670433 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 59.0677795439996 57.3441017838694 58890.2802728536 44730.0721874242 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 10.7581523138559 10.4486381504756 9988.96642795026 5325.09208430614 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 21.0412976450593 20.3889005202969 19767.6955863627 16381.093552518 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 39.839902439603 38.9101947994114 38274.7988386628 27578.357291808 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 103.507572288683 100.841844145987 120839.874335067 69235.8094004712 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 149.600313700117 148.215931206026 185777.693703779 99757.626044581 NURBSSource NURBSSource 29 292 2 NormalsMax MeyerEstimator 0.124939706847427 0.731345761157896 0.0672896303221795 3.40871949704276 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.59618507214037 2.42256732656798 215.46921962354 251.429718608531 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.45370973141424 4.41464297867648 537.275953793575 891.244934367716 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.3152743253373 8.41903393005639 1458.33372990223 2897.33988370602 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 22.7690356335917 24.1103941315542 10716.8726040749 14169.9620047682 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 37.7112741097307 38.7492722105832 27319.6209086948 22386.4753045727 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.16248001579674 7.22951584588546 2541.81201130585 2346.79193723798 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 12.5014966838233 14.0699584870019 4727.28592561121 7456.02777215215 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 24.5500167017317 26.6822449878966 10994.8978918482 14905.121798453 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 67.5000182964791 69.0919676218027 50466.9721794388 38437.4776506486 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 101.086113829075 102.883928165963 84641.8363117371 55289.9883977778 NURBSSource NURBSSource 29 293 3 NormalsMax MeyerEstimator 0.255130614028178 0.147957230069872 0.46502545638203 0.198609112756113 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.30956653765637 1.18258004143642 137.916181279027 81.6975127286821 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.52080074297459 2.4224625644988 418.009966373456 292.513962960893 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.97329068436008 4.94435766372657 1089.56778464682 1022.50931206941 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 14.6702222096765 14.57485386278 4701.35307996843 4194.13668015047 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 23.8234447347917 23.5947578858808 9019.54081625489 6620.16045151429 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.13778080266948 3.85471855860963 827.573332521318 389.825541534826 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 8.19662269062816 7.75259581165116 2700.9972679143 1181.62332062836 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 15.8916766099216 15.3735867459615 5636.43196438289 2904.05401786157 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 43.7112042545278 43.4014420696071 20488.6761703992 13256.7175679362 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 67.2319657138925 66.8546197278895 36915.8579739299 24298.2837315845 NURBSSource NURBSSource 29 294 4 NormalsMax MeyerEstimator 0.254251553761032 0.230250824826638 0.409117090596925 0.587088388746395 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.44505607284809 1.31211869547488 117.855374068289 38.9196818157523 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.82834534618704 2.65677708948273 380.797189618432 159.070873314003 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.67822329738521 5.40267087573691 1403.2950425589 594.249849791181 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 17.0942159861179 16.2288153822591 8842.78495300223 3270.5472054485 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 27.7065836860989 26.4353608319987 15346.8135573615 6668.21202675495 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.36358235861093 4.55582207734415 460.660076888039 568.024069073906 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 8.79394887682296 9.15819415018704 1708.10801903855 1867.10369471614 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 17.5595282337247 17.9912503682457 5822.79506964131 5088.08774220376 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 48.0904847866017 48.9940633018607 24449.0851258034 17590.3078217787 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 73.6035670596348 74.677454237261 44219.3017553313 26782.823952244 NURBSSource NURBSSource 29 295 5 NormalsMax MeyerEstimator 0.380680376360221 0.167577151790068 0.895651960547387 0.48345408472639 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.66799391831124 1.31190835956391 68.9372331846657 45.8320933227265 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.16241300315189 2.75478329191008 278.747158584087 181.689518293299 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 6.23864293437437 5.77015529946149 1232.69595289635 748.263948682978 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 18.4079341453499 17.5471479802717 8282.4999926906 4027.27399517807 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 29.8686165858693 28.7280081901499 14977.7006007986 7925.41780614418 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.20536193864389 4.64336551555384 2562.40010076603 434.400227553819 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 10.2304420520692 9.5662712281076 4766.73132678077 1553.13377834037 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 20.1439903190821 19.2230756454376 9861.15306287042 4570.91473772366 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 55.0610612377078 54.4194217552766 34198.9518179013 20318.1140822477 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 83.2991970676138 83.1325036200965 57969.0077506157 33898.7036875121 NURBSSource NURBSSource 29 296 6 NormalsMax MeyerEstimator 0.267010801920642 0.208326952198719 0.323719347480296 4.53631234121871 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.76707149885267 1.72310685621895 110.388563197985 173.293351921314 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.49568146839707 3.49679110312961 388.952907313089 477.049574476478 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 7.02315446802692 7.0939371956501 1360.8688713172 1195.4624796969 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 21.1903344304789 21.3969672556439 10024.9251177297 6745.818123305 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 34.4340184478429 35.1198972266365 18594.0385581478 14105.3361391562 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.57843030885082 5.65839193863731 834.766959377944 920.88522240984 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 11.1691902786442 11.4294754589201 2569.1962061454 2810.86982740789 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 22.3141972771024 22.68403015156 8856.04978766307 7701.38754436269 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 63.1698835833397 63.5529004866481 45296.0890711989 28380.8517748139 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 99.2905255933939 98.6390722149424 86271.8854405044 45257.3482660346 NURBSSource NURBSSource 29 297 7 NormalsMax MeyerEstimator 0.0909045966943702 0.791140882904741 0.0379104465825053 3.31481572482016 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.7147970546979 2.65203473786399 175.794730518901 222.642638985002 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.87095973670981 4.77382187036409 1069.57526353356 782.948155734152 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 8.15673871420887 9.01393484202636 2599.06484366485 2496.92613907643 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 24.5042093821577 25.4406284566014 11761.9138268723 12281.6782747026 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 40.1629195407428 40.5811112046808 25950.5800700368 20504.8156060638 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 6.37563786522722 7.07324142948918 1491.80914370581 1051.47792780387 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 13.2525053743488 13.8162797338981 5025.26407342792 4175.29203181392 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 26.2739314980441 26.7203196062107 13947.829137867 10787.5961451263 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 71.8918229933402 71.842801029435 55630.6022059257 36488.8832965506 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 107.816828185036 108.343181091605 96099.5274292965 61196.7897004538 NURBSSource NURBSSource 29 298 8 NormalsMax MeyerEstimator 0.101810745106864 0.584978093746834 0.0997058821328128 2.69587197490651 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 2.39400492440162 3.33888987290691 268.765883527218 186.615312496346 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 5.27682144224738 6.20340412897546 1160.26556990208 688.581470562194 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 11.0943011282304 11.9347455588507 3631.38238691631 2605.96301347418 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 33.6640209432405 34.4769458421577 21814.890316149 17485.343853263 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 54.5819886844925 55.3388886472309 46029.1076105406 35969.0500330466 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 8.61365703870263 9.53123668341689 2060.83989612423 1588.70303495809 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 17.7464727294813 18.4239117468341 7324.65601889991 5368.14609789664 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 35.5603814419105 35.69099328384 23705.5428208299 15996.9936129099 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 95.5376529358862 94.9036154454885 105497.801008908 59263.8599642653 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 139.427546252388 139.530735700816 156694.735133679 88169.8445918621 NURBSSource NURBSSource 29 299 9 NormalsMax MeyerEstimator 0.184011171253775 0.308996283881785 0.109326204333277 0.592962952849605 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.25685254294626 1.44396160711624 44.7043395872683 151.041993025059 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.57399699123988 2.82219518980495 186.832184873948 649.736580112492 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.3300904927698 5.63557066543598 823.570282315034 2356.29607113155 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 16.3050381012216 16.5439616587329 5248.7716759024 6304.51084112986 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 27.0748691145839 27.0786418256942 11360.5361156861 9407.97191480654 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.29434853824376 4.41817652890527 1454.53682074436 481.117809403141 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 8.71527414267387 8.98108502300452 2818.53104195032 2394.53793427965 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 17.4535698101453 17.7893391129581 7004.65810758578 6119.18853439079 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 50.5035384207244 50.4486141999413 30922.78118766 23038.2614938953 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 78.9677512203048 78.1369151069894 54262.3741531476 31173.7206929524 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax MeyerEstimator 0.524909061171355 0.524971241542958 1.21319880713227 0.887833438060468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.56556502798361 0.565856197777447 1.85832258119059 1.44410613966948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.615892893418769 0.609267885515235 2.7607897318673 2.05241356621845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.714809656708326 0.716160367920294 4.83811358409898 3.83257521268751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.1328710385272 1.14015842153686 14.081422313884 9.9567004704641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.52061783983192 1.55865123094799 22.340799603167 16.3320648680374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.683681274405977 0.671944617688977 4.34514438935842 3.14819918540086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.851542772028649 0.837082739799698 7.44528959797746 5.53658329170728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.22061952074381 1.17041910356868 16.1424201618436 10.9227480759388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.4862899645924 2.37096735946398 49.5549193360265 27.3676416254215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.49339903532866 3.38193915563862 81.2853603039097 40.724505994052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax MeyerEstimator 1.13541599978396 1.13626288498182 6.68182519718118 5.77211687974446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.1889867229433 1.18360750297054 7.46686959706976 6.94164573837621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.23860646189858 1.2351370656735 8.47143184142437 8.35829139071028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.3338087820348 1.35149141339747 10.5182347893526 15.2129662893091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.69980208374476 1.7756240589938 20.1405146975448 41.5237249450243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.06904933546298 2.14626060633301 31.9926200401551 55.734551591375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.34234651611931 1.2997826382735 22.4669166752407 9.05477840270982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.48555012793542 1.48540784738966 19.9097131862791 22.4031954382803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.8238690588521 1.79297811357856 30.816747169354 25.830247191164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.90058497778893 2.92031602996963 58.3126695857054 40.6046409521072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.83076928419912 3.89693914699253 87.5119700780128 56.2848067933609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax MeyerEstimator 0.525198898287273 0.522474501469856 1.15505923326519 0.901038513792518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.588442696753287 0.604793488273808 1.97799354448 3.23266519052089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.688440751184753 0.662911013890853 4.30333464070671 4.32691738709774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.830727800113281 0.81064750740056 7.54005843725184 7.3740359603729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.31962545822084 1.27410357403588 19.8700878097313 13.4280816201605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.75363631136927 1.6679709186025 30.4536717075243 17.8998281000352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.792005743688425 0.752378691614637 6.972164316018 5.55606054987906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.0021439348348 1.01189766656874 11.4191881075631 11.3424885009284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.36859339773464 1.4146610790238 19.6752195014388 17.0844566704396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.71983381682345 2.74008268739476 58.0396798833153 35.558026625173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.82912754472879 3.83194674073357 94.8709024747433 48.3878504164348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax MeyerEstimator 0.618028659967978 0.619257165140049 1.61237359862144 1.33723221544941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.677067493554943 0.676159685539247 2.81958755338727 3.2134525046891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.732781707183295 0.733256295778828 4.23212519911127 5.71254054953686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.855540457301725 0.827816436511082 10.1911454156316 5.78983534869438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.2581468366017 1.3168991481712 16.8207226579492 20.2129986515789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.6819732125862 1.72535040626852 27.3154585495542 31.5597534424288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.800126807893951 0.806797026521253 5.06971016140981 5.97328078917136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.989180749832044 0.992463692071451 9.7788309209159 10.2195315929278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.372087797659 1.35565313256083 26.50078764889 16.2989618457238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.6076478523307 2.62662910462834 56.8014870481155 38.6539250952439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.64880539220829 3.64944689408181 89.7456008308405 47.1543122339294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax MeyerEstimator 0.542100221541134 0.541319844720266 1.04236123049109 0.891783557208594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.587777129835956 0.594275829923549 1.76196392466026 2.08036806925676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.630167698446879 0.645097451221855 2.43235040995068 2.98239849393692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.723954270338277 0.741886421685739 4.08806012780951 4.35982608879885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.14222474423185 1.11712412532406 12.9663461916214 9.19701389124542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.5479261819307 1.51066815037434 21.9327242313586 14.3696694506188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.708467909049767 0.69089379929294 4.65275033970268 3.06205560692887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.862433812193641 0.859921657713738 7.64925364737768 5.92184462698648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.20112762824843 1.19688205376168 14.7256764803749 11.7362668081875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.41448370450973 2.44566207462289 41.4957741003463 28.4264150006343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.51052294463156 3.52604763635691 74.9507526111101 42.4014201995195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax MeyerEstimator 0.71490837347025 0.708967718662356 4.17703111306439 3.82481466671711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.764716977928427 0.75309451391342 6.97618562499546 8.27464448831335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.823341448646354 0.793783248035736 11.7466888453334 10.9542463096745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.910506365432479 0.896507897962862 17.5159258469053 13.9026316119221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.24429534014017 1.23782809461924 29.894499660851 18.3356206065091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.54019060834947 1.62847988653266 30.7247412982322 38.3140507579307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.869962278306297 0.8492482974052 11.7767658881629 8.12817693687369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.02853097772092 1.00675940852387 20.005686646727 14.1348285442504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.27020976513416 1.2918065208206 23.6207015776357 23.7719939665304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.2114974975742 2.25998296857011 48.6654766720873 47.6438331099791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 2.98737317715124 3.05395353486477 65.7228661457541 51.3957933217202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax MeyerEstimator 0.403006205272485 0.401118022823934 0.634912908940736 0.54090132613225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.430837895251877 0.433054682202584 0.871025817884544 0.813043335081284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.483528677431726 0.483413633751489 1.77076913812454 1.52952684950704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.58422280808659 0.587015960642673 3.58666818854443 3.24292825292128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.994328977151431 1.0149809297474 12.1125031970059 9.32381943352321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.3911485674576 1.43706850540865 20.4245506283986 14.7114551474494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.536679831738332 0.525969096172807 3.42670433091299 2.21849536811311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.688087587459986 0.676354011305493 6.32600275137872 4.16782554436522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.981040493909746 1.00013779001361 11.3929220576412 8.58572071469452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.1923115063824 2.25106125799662 38.8807610881471 26.969225931497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.27325384187738 3.27235265415393 72.9892453745738 40.5264019432826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax MeyerEstimator 1.055206600089 1.05778826196468 5.71988795083393 4.49918219640671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.11141501244526 1.11606389130951 7.21532939785467 5.9031399335325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.16794715462465 1.1617908309288 9.02639256753919 6.90138766500224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.28164498428286 1.25303033515782 13.1371499702272 8.72139921456209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.6968554271082 1.65447715231061 30.9496537199642 18.723738650362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 2.04679437548022 2.04758558120969 44.1282363294292 38.9665462595513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.23082950706395 1.23970229482717 10.6223456369724 16.4485041307369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.40202155037573 1.42536817970742 16.1690978312244 23.9572373144679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.71239299638257 1.75353566904701 26.6434114180658 33.4529153802836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.78543010466067 2.81111101606379 67.48490325371 49.0100961368245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 3.66342546677927 3.69085224656176 91.3579095454153 58.5854830253822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax MeyerEstimator 0.341995917657122 0.338910395144648 3.51196772325645 3.12144880664297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.387627461770522 0.391265300790502 4.48160715656427 5.46455204938979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.446094088061073 0.439667401586227 10.3872339290823 7.27034623475383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.508890896866132 0.56275756451244 4.9430823134737 19.3577209548148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.865490305697431 0.969129572940901 9.88843452585864 46.8513816317554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.21886180220831 1.3877597781936 17.490627071309 89.7865992923103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.515187385497835 0.467971700411336 10.3781875880803 3.54565293894873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.670980477051795 0.65287254675348 21.7517952814816 24.2057273832804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.98408237957588 0.949525780933086 33.8913177863048 33.2253601644234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.01071822932931 1.990566536473 44.5801045327821 31.9450472269781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 2.87158110707043 2.80603452652932 66.6986408302855 37.2415106495279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax MeyerEstimator 0.331491013618406 0.330648118204929 76.5272456970214 76.3350110759059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.374684055383551 0.68384113796824 55.8136849876386 2591.00003272522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.39143938062969 0.870225150518664 33.0587165525064 4754.34133336405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.47071984892219 0.705853377464132 30.4627559952046 1017.59266194115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.899314209061042 0.946782898555045 71.0727936864916 111.833505989474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.27197999959488 1.32596506309309 71.5674625600162 95.5268935447534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.533881389546854 0.451427946396014 210.314504343808 43.002526639348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.629300386359132 0.631094043277067 75.2130269531142 72.0256608281737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.919394522124077 0.96881203983923 39.9928855498835 75.5754171337542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.09263188301823 2.07946257037352 66.7729285459611 37.9130169472144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 2.97480274090643 3.03929622752459 79.0874409638099 56.0545274053173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax MeyerEstimator 0.502825483709517 0.503873270388939 1.17419689940816 0.877067426923218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.742839040051283 0.754344055467953 13.9568502842088 13.848160859904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.968847283790705 0.988069213134185 24.8493302340504 22.7202561979554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.43671110344061 1.43323201425012 50.2398071229345 38.969116964602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.13980556662252 3.14373931884922 144.034635786948 106.428749449328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.66633167064443 4.65864721875431 243.965165644821 167.010697043392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.29550434908954 1.24971601794051 41.5311218618193 30.0775395860279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.0157397558746 1.97766442357784 77.9062167515668 58.3284737812135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.34855055012649 3.33392137268873 150.723009573527 115.727420164978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.68939433975469 7.70464679293417 481.420429905591 288.776054768669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.0462169357466 11.1406200266287 813.964026371027 426.057239701467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax MeyerEstimator 1.13670336293112 1.14159216126842 4.96940272161491 4.01705780482505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.34249673264464 1.35424373070863 14.330224480052 15.4735417160959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.56805611470225 1.56255114688777 28.8980051784317 24.9453805943245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.98217188077531 1.98054237012243 51.1620970749035 47.5590133207897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.53819368600999 3.5945459720023 142.105293795802 143.989369802388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.0211255645028 5.07685465735446 255.452016247411 203.686868107625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.84082612333796 1.80873966409439 50.4245792969193 32.1254524893527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.45918537006528 2.45727239767229 86.5312167880542 64.3844608539692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.72124498336601 3.67995035462712 169.230062529042 124.89226319924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 8.01980945324296 8.05279495191779 500.079202768733 325.250986689181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.5901967512811 11.5891201252215 864.562435407794 464.172851504552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax MeyerEstimator 0.70742856157007 0.708131586401463 2.33488609763386 1.63000818658819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.91661866485056 0.892060290645661 12.6713182283741 7.86053682894367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.11778324146427 1.08881346898313 25.638174351198 15.3512159856052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.5310383766196 1.49019659024943 55.8813507720996 31.0506576650185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.1279098032033 3.10968428760591 177.76497620556 110.694690896542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.48785810093069 4.61417771918229 258.401450987836 197.326441263142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.35592563124458 1.38677779118125 35.7245661083614 33.7057435801918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.98994427712645 2.06122814360267 64.904913384394 73.4915791734789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.22939690416999 3.33732404014244 138.594890276656 151.535429813563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.37643926710836 7.37942830444367 445.021101030044 288.865124351129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.6470238456353 10.6687392323032 750.322171713608 391.674366529334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax MeyerEstimator 0.627424337014786 0.635661434569556 1.72116735259477 1.4652454973323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.830186600056803 0.845871164420089 8.40025489005652 7.7247382246087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.07074313607591 1.0774824439449 21.5619755499219 18.1224124297272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.5411015039367 1.56986855685983 50.8437750048477 52.4737674058266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.24032018112728 3.24439620920516 177.37450909032 161.334108231611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.67260235985604 4.69808061667342 256.945146365643 229.633072035559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.33751984662885 1.37692607670578 45.827433319647 41.168217750663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.08598480978293 2.08722071227105 110.681487987444 87.972587021801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.36581087180875 3.42157659863551 175.321588357044 165.84271729101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.66461749939426 7.6624011652664 482.240856389288 312.665443831676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.97156532416 10.9917996246219 786.634614839673 406.268839182524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax MeyerEstimator 0.496793332874426 0.49913305462476 0.942996479302759 0.805896084315398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.660373935843324 0.685231192734719 5.54637200461085 7.92604719594393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.868317595644757 0.891486070415937 13.7934653356827 15.3079376753518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.3066162222808 1.33184008910625 32.9986090123465 31.4146477338966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.98754275832328 3.04106813417374 115.017386261266 93.0678745816365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.53695202789297 4.55180725607752 212.889233899225 146.08705404154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.16586668481956 1.15537431155988 30.0417153465027 25.1904955072125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.85286016692178 1.85101117083145 58.6735025995144 50.3014514788649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.19142130132761 3.15093320711633 126.273846401344 94.2719302844409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.68675207982066 7.64037554710295 456.50008605467 254.055502864715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 11.2310886855123 11.2144963943139 802.466151719695 389.1097402301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax MeyerEstimator 0.701321372495216 0.717361360369565 2.83169471997906 2.83508962405166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.987303888423959 1.02827839856174 59.2745940754008 51.2231321544478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.18393365586447 1.24898477186396 64.3842030100039 77.7049894767754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.58778544570601 1.66737707533586 97.5224684947964 139.099377188508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.23978956816292 3.11992452147215 470.330890129196 366.28722698521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.47938905635267 4.37516860261255 604.375472149368 517.428140605901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.55030253071308 1.45899628249266 207.792335079103 60.7079306761449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.10356385733109 2.11540693610823 257.196768176595 171.921844368278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.24489511050957 3.19290719860803 388.32640502323 284.856332088789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.78081711494597 6.61056586103039 679.768763204992 426.340966809139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 9.30108351575128 9.28690866692728 775.678481210524 479.685519087816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax MeyerEstimator 0.385107859197679 0.382922425314906 0.638971994162463 0.510219320660006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.652714562622312 0.631008855366789 15.428002800296 12.4776426160483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.886169059506447 0.863492798205442 25.2938462480458 22.0616392123818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.35144304243559 1.34961550596938 47.2282052072923 42.0752304567749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.07047369550155 3.09691091675962 139.649962665404 114.67329061498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.5733992176986 4.58901958362377 234.333549612966 172.294891722966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.15466189001837 1.18731451740625 33.7738340639626 37.7153466068103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.91673917521128 1.93264192553667 74.0455654904017 67.0473621760444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.25980410070891 3.25471843646796 150.144239503356 115.763701904711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.58867186083781 7.54559965812502 470.894947955641 279.216556434241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.9617911825639 10.9191684409131 806.64042384389 409.922410916195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax MeyerEstimator 0.998657212072663 0.995682378459639 4.33404486493382 3.31082831335686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.1968070592969 1.19693440683686 14.19486341241 11.8198465211514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.40704422289998 1.39073028473717 27.4640192366961 20.3374854201656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.81477135361031 1.79815691698811 51.0167069642137 43.2556225778651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.35648950249731 3.34544987942281 146.510115678014 139.661326651235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 4.78444923086076 4.75629265134558 255.40719389095 204.826390878028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.61722105467046 1.62678306526019 39.0604734437432 34.3873114698546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.25012872691849 2.25426123501646 79.9482332591325 63.9898327968908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.49251454176882 3.46950717772393 166.321016268398 126.221882155736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 7.68932197258419 7.62499874886662 518.692802005597 334.811845166821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 10.9840275374846 10.9328092535674 845.91091790428 465.597734948313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax MeyerEstimator 0.326570952102533 0.327362410869163 0.566595635148896 0.471658112807806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.536137717665265 0.51287452334951 10.6320915010304 7.67739911352086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.721688606696728 0.687148065260663 20.2926662565777 13.5961460807852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.07709739423413 1.03407234505987 35.1765794544174 25.4287846902287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.42305634980715 2.37627536401131 101.880362911305 76.4930071014338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.59239057763537 3.5866131951382 165.481418509862 123.823017430357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.908698797138325 0.914328394473516 24.2377249555191 23.6633815744068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.47977968019191 1.48878218914734 50.9254806262095 45.2084460558427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.5267557273555 2.56290947124783 104.607276568547 86.5908283689054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 5.99093675738105 6.05086493052305 337.923751857587 225.810916562963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 8.68697265771713 8.68562044250462 568.044993326484 313.67300865341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax MeyerEstimator 0.231174738807363 0.231109316418192 0.291087783083825 0.224810347462092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.43312510052935 0.428577951010245 9.80897543613398 8.16534914815468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.632912657388071 0.623694940970328 17.8721957096284 15.4293160096814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.02897872028764 1.02603362404666 35.9977304657495 32.6378427090184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 2.46216863177278 2.43710001203918 110.238531285554 88.1598250868992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 3.66279078334958 3.69783041684471 179.84782543444 140.695529092274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.883261802162316 0.914369027790425 28.8046551427397 31.429588897689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.52145714491066 1.51310298420348 62.5392041730205 52.4877615988388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 2.63970516987773 2.59920358110133 123.740387228957 93.2281666988364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 6.1760716711601 6.16019650146939 364.428164198775 232.300717355316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 9.00972465862402 8.9761920438085 616.577795722108 336.00539552366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax MeyerEstimator 0.552816095447271 0.431642646025211 1.38413475274716 0.573509649015752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.64141194331123 1.51964439628883 132.141440715908 121.442511441092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.72367658926308 2.64058300462494 276.368664011126 244.074491071608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.91564527640734 4.70809889042495 654.291865438829 497.980278063669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.3923234991439 12.0996503775514 2196.05654391726 1583.46724343564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.6983952780786 18.5247552754994 3781.60291724229 2557.50819881719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.07410288895124 3.93250123264622 477.052423582701 373.397359886019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.2714843372879 7.33338699332042 991.61682016672 900.535259997876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.0033304688213 13.1899690131603 2196.35162330537 1759.00654272347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 31.4281144964518 31.3373476593777 7916.18019106585 4444.16535394322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 45.1910891751304 45.5137447558913 13469.7703443837 6646.86202180558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax MeyerEstimator 0.930885680844563 1.04674233625119 3.53254422877474 3.34259045509245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.90904462505086 2.12161802335007 100.687124061455 166.066015008746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.00103542732266 3.19920337112684 259.263403037792 356.462211881496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.01756191578537 5.40047198598414 550.172764685937 873.637566905944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.3846199205127 12.8212668182623 1960.78472402832 2118.11887000876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.94167967119 19.2072071679863 3737.5082932786 2863.11549000123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.29383236987477 4.35022759156766 474.248556798716 455.00299825254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.4027412579494 7.50821677720288 953.049986507538 843.245079582426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.1450007473505 13.3524632031639 2139.76495378757 1667.1629658585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 31.8460473118314 32.0895146876945 7674.85697868285 4480.9171332452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 46.5234546738471 46.6960540479532 13646.6635332694 6553.32583807238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax MeyerEstimator 0.502731619455085 0.470596842954745 1.45705214040255 0.803458762301952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 2.18978744326309 2.09873051986719 1072.9491670367 391.376232478146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.5392247648009 3.58146380102832 1284.42761376856 721.548850795898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 6.09270604241645 6.30694936032519 1246.5183187661 1890.20732689215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 15.0542046627266 15.0853957130042 3772.79252304784 3451.45780987862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 22.4355062190133 22.7585269224625 6102.37492443475 5398.86961155919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.20714510423698 5.25358801021978 949.891714425609 1357.75482108047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 9.21277862206376 9.12700123602364 1975.10600182193 2292.37655941992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 16.3424972440783 15.6387613384975 4679.75580452122 3143.05868083011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 37.44611410216 37.282850140723 12270.4613854677 8063.94867437295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 53.5263679022584 53.611216464805 20685.002412537 10862.5502005777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax MeyerEstimator 0.366465843729644 0.298120128994636 0.874848069889807 0.374068890124659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 2.15516850983979 1.8671124651377 779.605563793159 341.643954830905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.78674830248911 3.45757351210377 2993.85374560443 1258.13775352362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.96612574267595 7.17562967683213 1396.9485188186 25246.1401867487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 14.9084517766237 15.5469124058163 4678.79277192197 12468.4079422919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 22.6887278249909 22.2049599957181 9493.16247002072 8043.23767651096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 5.26926681241902 5.44020499713202 1636.07063504678 2706.32917913829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 9.14141488113407 9.65581752352171 2962.34028766198 5815.33251662404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 15.6242261876449 16.5036774662494 4260.70508757296 8841.80299161816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 36.3894833694978 36.0473951510479 14163.1802658069 9573.21607953563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 50.8597449631875 50.4149035487686 20382.6336430412 11075.6758400355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax MeyerEstimator 0.518968777831531 0.483582584843732 1.04613542080773 0.77250836829507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.749162702749 1.72402577766094 156.001261555473 178.476497934747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.95368029406939 2.90173390938054 359.95561494483 307.085905413366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.25439986552931 5.13746928291233 741.034553270347 587.281179934659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 13.0340929508577 12.9707884277812 2373.88344028992 1787.55496633032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 19.3388284240626 19.5253272670822 3872.62503241427 2772.94731423699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.37111442876622 4.20487387262278 608.092783429624 427.372077556729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.66847882815247 7.64422244174254 1169.79049986947 952.961151647963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.5951247465048 13.4709690103098 2447.47900178468 1752.38045092862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 31.7291171164409 31.8774551855666 7685.78045586871 4389.19448607903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 45.8834217167522 45.984284696326 13398.5151146573 6311.96865808565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax MeyerEstimator 0.572375928983924 0.653046532964974 2.40597931809203 2.71546352952529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.95159176774351 1.98742292158821 511.323795575092 434.809546280694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.27796193094356 3.25274595769942 1422.74109313798 1113.71804264225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.70061057094506 5.55017332666502 2827.53296845984 2219.9081927474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 13.6335347883688 13.4206456204347 6908.5654629687 5945.05701661749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 19.5963966273051 20.0301040294554 9158.79295128821 9287.29290109379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.41337890391192 4.71092778172063 1426.31449934231 2124.03071095933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 8.1317345638263 7.91476938872455 3821.6538209225 3021.14531892912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 14.3973689505254 13.5174400638172 7749.31696534384 5307.14889429804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 31.1145747526435 30.0970136112201 14321.7459843312 8547.41479934114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 42.3271489800543 42.2067350041895 17059.5720529701 9923.88421824473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax MeyerEstimator 0.434828953132377 0.330776415476766 0.788310975232594 0.40215731528955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.63544703068872 1.60883245252097 206.047191770541 211.838486635394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.76697401353171 2.73094110033221 361.431445884564 330.420660460968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.88671189183283 4.84991803077404 690.782644099583 576.422413436469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.1215146833801 12.1069169272019 2113.80023398524 1528.19722368972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.3232256202131 18.4896111863055 3698.18856454809 2542.37419018967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.14388688542335 4.07039602872137 537.673581297572 532.817098786675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.29912649720692 7.4743544119477 1065.15847942881 1105.95962284289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.099621810994 13.1430799870058 2396.14645772515 1917.36503169868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 30.9316668072481 31.0086572268522 7902.29459452843 4644.65066041758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.50281512676 44.817316909461 13380.6066534287 6735.57712439954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax MeyerEstimator 1.03209823373031 0.781760846565585 4.48077958659579 2.51673651593753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 2.1627281528463 1.87020251271277 318.912277124537 209.220753049427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 3.19334285347281 2.96583577580097 514.031204134748 475.649222404543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 5.2025835236145 4.90275598563234 1012.54997977032 747.049744051585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 12.214682668225 12.0118884295658 2974.10358216063 2168.52117259612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 18.3925907965808 18.1631395822769 4946.21279699699 3194.62356387094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 4.471213202192 4.17814396265893 890.274050256007 579.008727340003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 7.50849234883135 7.36133917191531 1422.63587269746 1323.61357731385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 13.2296295420138 12.9381629070714 3345.62322856377 2419.6147775125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 30.6945792479728 30.5607146952083 9113.13697211092 5784.95509235968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 44.0593764947651 43.6512941608368 14414.4874164712 7440.48651341681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax MeyerEstimator 0.406593253917832 0.22042721727436 0.811260844201176 0.265173265238851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.32117297923448 1.19729989157652 127.558170491097 108.512956131369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.23796150679514 2.13587027825151 244.352993026744 234.650902764815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 3.90814143850844 3.90406988239434 495.645488972735 485.96631337186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 9.83166230126865 9.82040034552829 1625.65539995476 1320.47415801112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 14.7902205052199 14.9267050638894 2742.54190143654 2120.01636261489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 3.3105593825733 3.26563717656123 422.249250527208 442.399847680027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 5.89013427545394 5.79370362529905 879.011185044557 739.325447610782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 10.3917095781902 10.3222582725439 1783.8360680965 1360.76585211765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 24.7813150352645 24.9671806169908 5562.44897359051 3609.83520118133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 36.1514112009388 36.1606697396431 9636.65541953083 5219.48795322723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax MeyerEstimator 0.257149450262579 0.189653955928725 0.3485110385413 0.162281149080106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.30842686158399 1.22535542209991 156.114693117857 123.805247715371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 2.29442625321011 2.22653974983249 299.285993145633 265.81439538836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 4.13565222008018 4.07873220698463 632.230470984081 538.552208722604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 10.3564938488911 10.3358950074632 1884.99948786749 1486.18689174562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 15.6641798809897 15.7096877133105 3207.95241748136 2351.46884415271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 3.26111234503385 3.3311300381683 428.583706069573 444.664696985934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 5.9448060110995 5.88227187170942 907.192415230605 766.348258672789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 10.5635152924623 10.6310277240716 1792.05822341972 1489.83399776808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 25.884935009651 25.803078005539 6255.72046203762 3931.90126917534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 37.6297887188337 37.5685260506064 10645.4907511519 5712.37075177371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax MeyerEstimator 0.477914243831495 0.481053432580006 1.23234223619125 1.32725972788408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.477812057634611 0.480822089018092 1.22613107553427 1.25908016603711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.478690806816995 0.481886547774561 1.2244942915484 1.18257924921713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.485208542078896 0.485148323776438 1.25330729209542 1.06041554815739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.571379707985074 0.574064729479931 2.18857151111814 1.42230351369082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.690804260495844 0.713322921351749 2.73596580602871 2.39327759831416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.483515424952748 0.485486164651058 1.25118697592678 1.18171350160677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.505396234854408 0.509905857930221 1.3613283585363 1.35637222197324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.579878570601334 0.590022115402739 1.79733894146815 1.72700610550325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.05141566342304 1.0721423430086 5.52113020621946 3.14605070863271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.62979413168132 1.6717806570971 13.1239826885343 6.43004928155765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax MeyerEstimator 0.495841855702639 0.433251357603025 1.97598211016311 0.828328200698097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.4962352077009 0.433411057918544 1.96766080144542 0.826444943092441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.498740591149324 0.436268953161351 1.96519697400399 0.827896487481215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.507695397646034 0.447684300469044 1.97416232350776 0.838150965386326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.582501607319913 0.537442855033436 2.19605560659455 0.974674831961866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.693379975514929 0.65922653158565 2.72259712933174 1.23533345766727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.50620188596706 0.44686418003388 2.00243205524709 0.853137355185425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.529450057593558 0.475712710929299 2.08125299798209 0.90397125415567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.604178458748875 0.559856195546252 2.39868854963106 1.06355029998109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.07030059474404 1.05140774917284 5.83495498324068 2.6264525579739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.64712848464017 1.64665159309549 13.2711172397882 5.88827442389573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax MeyerEstimator 0.503300185496762 0.494720173145286 1.60418505323568 1.06036893594468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.504822082596349 0.496555458826313 1.59250531420358 1.0684176722992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.507494734609019 0.499462409992299 1.58593784069728 1.07904629413286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.51684427822344 0.50884027635518 1.59380536342731 1.1096208551073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.597533393188505 0.594432628109042 1.89419880371618 1.3582938197961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.727693604828695 0.728955738286885 2.65780263025693 1.82728496853658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.507924072759372 0.5004440607819 1.61046414873471 1.06977974158447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.527421269393333 0.518950318338912 1.68274973297868 1.1062053718188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.601848904493856 0.587542906940102 2.03260489224532 1.26695670441265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.10288556641051 1.08060164146857 5.98005021085127 3.08353908730693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.71626300443329 1.70388961730329 14.2282935096706 6.65717295029377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax MeyerEstimator 0.139866744568156 0.143819687582093 0.157037971445124 0.26181891732876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.143330486696239 0.147560218988658 0.16298879629535 0.269862321608483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.151424457305158 0.156637618433138 0.173432834773216 0.28089525019629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.175286319084989 0.183929515940741 0.207224806831778 0.310639426106473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.320229017403874 0.336717465337259 0.528457852076186 0.516178911073049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.489132714187446 0.515308639177647 1.1829275348265 0.855828479226813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.167167835345631 0.172008132629785 0.177887943903167 0.278135076226912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.216919546515774 0.2271457691232 0.245473149834484 0.326684997346072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.339991460270989 0.362197093438564 0.539481676745781 0.512570549932347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.948666047379867 1.00649924681588 4.64036489005009 2.47697551161367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.61886714236561 1.70273556206078 13.8388962475793 6.45928152357915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax MeyerEstimator 0.245064144321112 0.243953851781315 0.268167606565265 0.292578707628716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.245612693588019 0.246135960927941 0.267049736905243 0.298556239859251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.248557077080516 0.250434997664512 0.269232422837535 0.306509993463404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.259138683251251 0.264831605933917 0.281941358497853 0.329172787499415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.347747197155673 0.364354951450342 0.453710356773713 0.499427757046822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.479456450695688 0.500802557565905 0.849072167749509 0.778045633358852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.264801085586599 0.264430959098012 0.302204156479537 0.319718098799839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.299073725557697 0.304203870818984 0.371645576022075 0.374395228099456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.392991652090133 0.407773269265179 0.625177069153533 0.551251217373516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.913213468191257 0.935938218016684 3.64001788292118 2.03785415764016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.52112664050362 1.52330420044532 10.7631851532398 4.70437542222269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax MeyerEstimator 0.550833981720747 0.660668410496844 1.73274026314731 2.10016369573263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.551470274994671 0.661329694992028 1.7357805931907 2.098040703732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.554095138796118 0.663660240357373 1.74655713548136 2.09808488627525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.564724099661109 0.672295054532123 1.78630794596725 2.10371046964925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.649616509778084 0.753907285918383 2.16471038271236 2.273636522463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.778853064440715 0.886786494679112 2.94570401904767 2.75859535572173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.561748669988014 0.670164829949701 1.79157049480328 2.12604451233221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.588337904591009 0.694721719204639 1.9132247650498 2.19081485509048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.670725603713557 0.775382481960923 2.33888500180557 2.42856455405314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.18046474191125 1.26670896580005 7.31970875594265 5.21029226867902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.77652163322714 1.83475879830198 15.3856956646916 8.95229857230095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax MeyerEstimator 0.0571200343006074 0.0559073278834211 0.0266402648382198 0.0246861669979559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0638140221778257 0.0646485145760667 0.0316112557735369 0.0266936851355959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.076646224862721 0.0806034551954235 0.042052745334925 0.0314370599704137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.110985114628364 0.117574620929518 0.0807947348126675 0.0474836103771421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.282351795053577 0.29139876069467 0.503286668795629 0.191460668601023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.467095898685394 0.478648514887271 1.36958894931952 0.460397618048488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0953451713693704 0.102398820103226 0.0466694533694442 0.0409253067930327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.157172406941267 0.166405837931348 0.117423239062114 0.0810227350534234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.30163534882459 0.308487946876946 0.440787931619343 0.226113278625059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.91893995959811 0.938676267603306 4.29978447590555 1.68303315351494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.61039207501166 1.614521960967 16.5222414604782 5.2457581764535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax MeyerEstimator 0.656943464983773 0.622013970791877 2.14001835966652 1.52555155266929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.657655889869857 0.621979920600877 2.15319484868142 1.53109672109683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.659471049117247 0.622989796098935 2.17162462396574 1.53737556618591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.666338655848858 0.629400695491738 2.22588924037603 1.56172459715793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.735868205147455 0.700326073308936 2.69589745579629 1.790140542968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.850497582403434 0.815790032248357 3.56095278447456 2.24637966619882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.664845910466781 0.629350330448729 2.17064348149504 1.53472734954433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.688296727219924 0.650991958779091 2.29357138817175 1.59774983609777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.7641493250824 0.718925481282006 2.81197411478775 1.82233085654158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.22608513902753 1.17395460893325 7.49090553891435 3.84661618601062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.79169175729826 1.7441333846813 14.9076838654711 7.17255975867361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax MeyerEstimator 0.786796617411999 0.778307857547515 2.70460119252708 2.29964527198999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.789047706828535 0.782007485338625 2.72129348243382 2.39910807952549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.791641567329797 0.785695034266398 2.74133554779977 2.4921456565394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.797911911148593 0.795781761146504 2.79128824636158 2.66441952552018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.852299182030334 0.86841271253863 3.20998864392722 3.33801776120869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.939516791170747 0.98200482486486 3.89536747230252 3.96240122963699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.79411870692697 0.790516696873036 2.74635271571211 2.42339109812833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.811873746145423 0.814421490431296 2.85150645206357 2.62358163406688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.870489848554599 0.89184823153727 3.18588854468667 3.4036842333783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 1.29567628228488 1.29998550759121 7.69688891727111 4.60591978942921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.85212875499184 1.84737050874554 14.8124283042278 8.25021997842632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax MeyerEstimator 0.0461892430512894 0.0430169445560446 0.0286553367004603 0.0209347705524638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0535588524699899 0.050357324894637 0.0308628408312398 0.0222052851760968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.0662197305702399 0.0631381429550689 0.0365922886558509 0.0256859552695954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.0971817856280391 0.0946030921308352 0.0587851627633464 0.0389694727831273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.247865190003855 0.245546254492724 0.327509914180219 0.1683362414576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 0.415134636870486 0.411322201553437 0.942209447999224 0.417763350607489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.0825110069219763 0.0796820778589436 0.0465366893471581 0.0310696556584403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.137520190807714 0.135833626790109 0.103084501658522 0.0630622425214279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.261312759803362 0.260964679273914 0.353492680727576 0.190959532690092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 0.810163376710362 0.818169406297596 3.40369133102259 1.52592412421277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 1.38109014501177 1.39587982414406 9.86513289454252 4.19468100491858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax MeyerEstimator 0.449999397398219 0.427494534720301 1.55143851234063 0.969645852420162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.459655021064837 0.438029847130295 1.58114214861701 0.984598122801857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.481161883854444 0.461590898172252 1.65431950333023 1.02433409246607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.548447315118774 0.535453482521373 1.92577032745473 1.17480464458993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.975118544772615 0.980104967132656 4.82424401566147 2.62521958319895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.50365680369767 1.51789952498172 11.0421028220508 5.3407566809233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.518709711976955 0.502833799139715 1.79005935044995 1.09439414158114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.659245861057511 0.652400707450653 2.48139070942523 1.45000600954588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.02746423006629 1.03548873391007 5.3179362633985 2.82110920755227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.8432155238456 2.87829343754095 39.4391223704383 16.7140604827364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.80013252244266 4.84661894724903 112.83261125724 43.1437589567975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax MeyerEstimator 0.469472881791975 0.457789515969164 1.70467305889009 1.07687531384615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.480308644325205 0.467225974845231 1.73208396348685 1.09006239590084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.504696300886587 0.490782702761779 1.80413487633153 1.12279587295341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.573178138054716 0.561549175367259 2.0602130512075 1.23841387501839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.983898097413406 0.982654812817255 4.6999104095277 2.33314671856433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.48852591636419 1.49807930054875 10.2309266175908 4.42815982406797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.540145903232981 0.536363207708263 1.91926842142493 1.16877557918124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.677228127128451 0.687196394967051 2.55485026052545 1.44981529606307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.03967111147957 1.05798197954182 5.20355308017264 2.53717753283228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.83198918044116 2.8574371390793 37.0679313999892 13.8000348034368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.76548846357849 4.79733254379306 105.230847186308 35.9091364382619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax MeyerEstimator 0.311459613314229 0.309980170118879 0.553925131746736 0.512338755758411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.326429809246584 0.324040239792924 0.579502411372288 0.524106069766918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.357924373207196 0.35562611260494 0.643517675405854 0.558151731054613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.446939502696287 0.443536052136887 0.883236071932808 0.682502298831332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.91487245512892 0.908856970520016 3.49262781865308 1.85293584432626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.45636942726471 1.45076063895618 9.17854231034054 4.08433725820083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.41537781298822 0.412338332640655 0.79122607222391 0.637101749451182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.587687437305043 0.584547397765272 1.4470527932624 0.962918298668476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.993986412583655 0.99494574997842 4.19900312281073 2.17203235620635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.86991238865109 2.87210175633999 38.0572892618539 14.2177495482559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.85990891164556 4.84935670888141 110.838639564699 37.4622198647439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax MeyerEstimator 0.424934950285029 0.478333314186705 1.03456380864677 1.34294969332823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.434097429845154 0.48734050953354 1.06608083460776 1.35904415824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.4563129187728 0.510893489392186 1.14350332142813 1.40483757898385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.527969008526628 0.583303720083778 1.43471150409882 1.57750565947428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.00916464150014 1.04865551747103 4.67866777977094 3.28361748257343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.59656753808205 1.62589852248193 11.8053859058824 6.4812169191927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.498497054687669 0.548559024245096 1.31387008242663 1.48414468721926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.654382773720479 0.700943170267185 2.07082549747668 1.89554089607182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.05946295131073 1.10373739986423 5.20324815251748 3.47637199075845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.01989809584701 3.05894145633303 43.6729499052355 19.064623800474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.11665907841947 5.13770508737299 126.693014885057 48.5500066996733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax MeyerEstimator 0.484542184765127 0.529130711845172 1.40908178090852 1.48416925756921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.494237375970971 0.535820358567357 1.42566807187147 1.45412624722035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.516838713872441 0.55604914325503 1.52664695244463 1.50153727719228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.58581676112045 0.628925925984654 1.91841461280895 2.49737584268208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.979584829646689 1.04528485183925 4.48016498174991 4.35104130280396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.46636868688654 1.54356345949425 9.62923263068772 6.8198540771103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.557208107369628 0.596471055012477 1.94023010816528 1.62297820068677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.692237448933499 0.736750811507739 3.37076604719184 2.13471584344865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.03421524261763 1.09844784175293 6.63370747175197 3.77024338629213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.74413325147679 2.84506825207712 35.4969458595655 17.4024858751924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.61921315204576 4.72745300125937 100.074936960737 41.5272105516818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax MeyerEstimator 0.223995878500395 0.2488616192852 0.448885924222812 0.459260419808045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.240163884836434 0.263873063525175 0.471054313301177 0.464072863542694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.272817329655225 0.294911388619175 0.53325311124979 0.494364169484336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.36182361651781 0.382578064974068 0.776412890766424 0.625901298093218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.854164223163258 0.867264119839373 3.69586006803208 2.00895945553207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.4160911605831 1.42360290144159 10.2243729079349 4.7098512279171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.3278462787131 0.348564087961852 0.669807277705192 0.568954930962189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.501944104962938 0.517773748454263 1.33662634280282 0.92321537358344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.917294619025495 0.930654363181961 4.28954550927744 2.3186169469565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.80666048596007 2.8111396420986 41.4597769467904 16.793682276928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.76914569404368 4.77125361078243 118.942203075314 46.0570793956745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax MeyerEstimator 0.170847837623051 0.127178797673279 0.3029912284684 0.0772426506833176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.194241348605804 0.155933239904971 0.33889861572791 0.0943300037777399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.239021574169531 0.208257561643096 0.425393364323739 0.136257483003171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.354587449727818 0.336194647859938 0.756380650233459 0.28753063204976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.938797958099395 0.934046442846511 4.57113198969855 1.76893710078667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.57755784891401 1.57083699624693 12.7264583907699 4.69001799355972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.308046636159044 0.284085217540284 0.60514604815049 0.220824379654118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.524524388014059 0.513416295344422 1.52722138900967 0.612777082725119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.02024217531092 1.01647078424348 5.50562615922084 2.13495256681575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 3.13813529808921 3.14747291233223 50.9353878366628 17.9520066301219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.2881947650712 5.30955742363154 143.17474809753 48.6483691569136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax MeyerEstimator 0.118554296343267 0.11821183400296 0.0762056571917374 0.0481909248161763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.135952071095757 0.136252234769149 0.0912610936876474 0.0578078136291771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.17090015755956 0.175218345849408 0.13116621259954 0.0837911933569885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.266055873870765 0.277451778967707 0.29564827306252 0.178023450875355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.747511219718136 0.767389190404941 2.39362725627058 1.04999430137758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.27738790895883 1.29709963355777 7.17569000087113 2.69390988064422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.231574365345767 0.243768466468616 0.228354043145604 0.143869994932373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.415873813533789 0.437723238608088 0.728871882041645 0.392046280796289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.837309649743135 0.86082820431816 3.06028621422845 1.29273215691038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.68752564436122 2.67996974611087 32.6350256780107 10.3689351149105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.58419389205221 4.55185003791973 95.2595498727219 28.224032758844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax MeyerEstimator 0.56455959259558 0.55974888671758 1.87202226766029 2.44803851967757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.575894392787701 0.576177321234315 2.13457316122223 4.36809338887908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.591333114093282 0.601266044324008 1.9230802002233 4.68808747153946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.663997762601021 0.657064599363493 3.42916070742071 3.44424368273392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 1.06957067770208 1.04877633616974 5.92753253199378 4.61688684729159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.56205606309669 1.53289765398397 11.8961837595552 6.76086053138066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.640274120870566 0.626338574315362 3.46131416200216 2.77060410383169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.775827582341648 0.759471518265614 4.02643423595777 3.19426100124282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 1.12366321321046 1.10816465738191 6.21155121561486 4.75904526601055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.85583695133048 2.81323641661736 37.2777083899185 17.6195850427683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 4.75267047568334 4.69042576283794 104.427234508091 42.0105164597331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax MeyerEstimator 0.0502319969062646 0.0439491227602569 0.030948857494873 0.00768626143275215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.0878699977962013 0.0825169473109117 0.0513490965768693 0.0185198625495114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.147746915111409 0.14523425619072 0.117534318707416 0.0495061731929011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 0.28617052151273 0.285722495299109 0.415914376234629 0.169635393543075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 0.893550818303764 0.88377205203693 4.04607026597041 1.43738768635192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 1.51829158277888 1.49636274742224 11.6949897326672 3.96103094441549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.2273619602841 0.23927689035056 0.264936788611179 0.128751713892697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 0.463373335943356 0.482444101872479 1.07830812447971 0.471888417083815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 0.958711143647139 0.986593318731634 4.61067733444296 1.82691200296688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 2.98124908229301 3.051633535602 44.3878364391594 16.1338960005597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 5.00073844289219 5.11715352082211 124.215888134396 44.2900945469423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax MeyerEstimator 0.365479035952073 0.34265874152278 0.534138261500405 0.467734219375334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.458770148396534 0.45775047254502 0.812023905625755 0.690482543412299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.655290119501909 0.679878391490891 1.7024881395909 1.33701581867264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.16435975689094 1.2165753280001 5.80498157819197 3.72215247563997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.54941870398489 3.61868937993951 60.5356472560776 26.8661026414997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.06598186390405 6.14827664784567 181.0787859495 71.8731789646815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.951420775599819 0.997526511539642 3.90507659750446 2.65008362003782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.85735608993743 1.91050327995486 16.1647730708874 8.5109347740429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.82360112021238 3.85937544169081 72.2885305416854 30.8236759176885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.093674732563 12.0309133962091 740.448797954472 259.561578245579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.4953683771123 20.314785493864 2123.44815385069 706.531079941109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax MeyerEstimator 1.18829141392086 1.46033555657907 5.48246763033809 10.432734737989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 1.22640959311721 1.49922185803436 5.78489637280966 10.6433084789313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 1.3277750816369 1.60334323270655 6.68683753370627 11.2310314727926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.66178372494821 1.94167395607964 10.4240286182623 13.4303985663288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.68983150172337 3.98496256797404 56.891760832012 34.6613130244441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.07199590246073 6.39045745130736 162.376187981622 74.8172256782387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.52643576895354 1.79137753026698 8.65683196996338 12.3005483096207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 2.22902185123158 2.49547192198276 19.2061991419034 17.8664096588459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 4.00621731170489 4.27644416309488 67.6998435602056 38.9930177592055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.1747495954786 12.4589132951937 682.812617958657 250.99357192448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.6755648025492 20.9225461784391 1988.9976477186 658.557045326508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax MeyerEstimator 0.207667900617482 0.203201003707873 0.127067129462334 0.0681231017036217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.368471262675863 0.349943353694936 0.454249824334258 0.236985416629215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.639897480257401 0.643245038949418 1.58922835478956 0.711281922227839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.24866172487599 1.28788696384574 6.78138467521504 2.51469224805915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.85693214980253 3.96923592584885 68.8096512590959 21.1774720346946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.49623305238706 6.67053442959474 196.878890271338 58.1152920947329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.947545573918455 0.943644463013885 3.79675060539309 1.36420027384427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.93719941155227 1.92438381031633 16.8123679853751 5.20522511324281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.98272172986764 3.91996928984903 72.5644088357338 20.5524547840238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.2494452795694 11.9730608018586 695.320675224599 186.724048489685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.5748230429723 20.1634806941475 1968.52903808751 535.719252707648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax MeyerEstimator 0.550569268785244 0.669195885529492 0.882018849133608 2.33683997433993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.637812400067457 0.741658043628599 1.19159341400237 2.74913290241726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.8017705638163 0.901870566643632 2.00654281211868 3.65552670403797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.26587252613129 1.37072135773964 5.66605726156431 6.69538791508806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.63470424442888 3.76626743059371 57.7799533627532 33.1042232728796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.18156499469921 6.3467389241342 176.540113526957 82.1110751326396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.09632733882778 1.19146332715456 4.20984578568132 5.03799105468453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.97768742160602 2.08850182090713 16.1033291908823 12.1349316633889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.97671885612878 4.0999557159457 72.7042355259067 37.9554885016006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.4904967396665 12.5861087528004 761.701895385744 288.380626951446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 21.1800481071753 21.1251349973611 2191.31674587922 759.821230155239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax MeyerEstimator 0.627179638553897 0.773837141325563 1.66049759159009 3.29504900450523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.703914233332871 0.84837572430018 1.89671728185052 3.52598808756797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.84571288989744 1.02312088395639 2.56947648563225 4.21191146901498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.23259428583115 1.47908105496785 5.53938080722848 6.74400004181682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.3414158738555 3.66914109373641 47.9255626111651 29.623728153212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.71815897934575 6.04084779071807 148.440279595086 71.4944256751869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.07451231967675 1.30563110223648 4.15994815909772 5.76943045291925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.83069580437671 2.13818391029981 13.2287721133118 12.0551090579405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.62760730193947 3.97334959566789 57.8257181915713 34.2484746197514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.5664474113693 11.9209216669385 638.626599174478 246.803247353985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.7321700053041 20.0763322877543 1877.81325149855 647.695699460391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax MeyerEstimator 0.289684122815083 0.23862589604413 0.787932428336008 0.307362302479921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.408223356241399 0.373549034778941 1.12812474189621 0.514087390774556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.615770578938686 0.599412905928112 2.14503002903497 1.05552448537831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.12587048351753 1.12323322116054 6.59451710335579 3.06987356182059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.41717594858868 3.43704701386748 60.1251927685056 23.9914009221458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.78739570761912 5.83195914656447 172.587203720449 65.7639548860761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 0.929533091765606 0.912570477234227 4.62322050945344 2.21082776563977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.83112569271198 1.81791084859775 17.6466278396512 7.68363439482032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.73983764574736 3.73046745235562 73.7128594697085 29.4857069379951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.5607211656944 11.5775753421812 700.030339750334 258.775998090025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.3974694050922 19.4414683774071 1959.36186073017 703.263986601071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax MeyerEstimator 0.416490791365749 0.406966269343737 1.00282762567351 1.05263210393218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.522414515645865 0.528883529502038 1.26285200082299 1.25327458085616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.714461206367364 0.741458509856084 2.07266819489456 1.7730128745693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.18617089699936 1.24057887705023 5.66443656272161 3.65332446844085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.43403822372565 3.51580979164919 52.5147810477292 21.8798147520297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.84487686280842 5.91819346952422 156.820664771117 56.9352036025649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.01184422383913 1.06038314562411 4.1470104991145 2.93297077526866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.86606490130062 1.9517868094228 14.9485406944897 7.93911880968584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.74845778923856 3.86216576512715 63.930467315895 26.8549502576225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.7422329073262 11.9120309411734 652.002652661527 217.983567036981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.8478957749891 20.0921637594153 1865.79175625671 585.547596064137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax MeyerEstimator 0.605797309157132 0.678192711385432 2.41183364566508 2.57988181430627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.675851231830891 0.748505823451797 2.71318665798245 2.78608576172564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.833594495544297 0.900584731605397 3.66907830536521 3.35197567569773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.27403015526199 1.33537952224766 7.76876576589865 5.47253490571909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.53170815807159 3.60930117870115 59.5384766148833 26.8373858604594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.97303608342119 6.06928945262024 172.714679611255 68.3307533636788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.10114913437145 1.16471928318523 6.03699487813321 4.5478661562764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.94089603061042 1.99925766365088 18.0514154225948 10.046183039671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.8306015585749 3.90382422079233 71.6347610202888 31.3902182168183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.9128494406603 12.0184855965648 708.6260427925 251.918891287284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.1035885877652 20.2313582206153 1994.80569797138 673.665560836279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax MeyerEstimator 0.650015909960723 0.667766688794107 2.31428162878412 2.26746341086807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.74925429772055 0.760640152426768 9.64765420361798 4.61400306652156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.915590618020767 0.938419267743958 9.88826061040211 8.48663818279532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.34722903332239 1.38364882382998 15.0089291511911 12.7560582923588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.49814983676002 3.55631573280393 60.3768258997508 36.7858775037382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 5.86329300465997 5.91707377525632 162.908403686648 74.1069552254336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.16065702455879 1.19380769424325 11.7719750861818 7.66982805971367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.95429809028626 2.00648791783413 21.725235653634 14.6778495210677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.76558732945727 3.83866437001955 68.2060558398892 36.2436399582467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 11.7242276698824 11.8209023650749 657.707879909456 239.527610016038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 19.9242245813133 20.0471660312176 1901.6280951068 634.736901416163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax MeyerEstimator 0.54732093007508 0.736676573555695 0.886756786125965 2.95269025241726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax MeyerEstimator 0.631732147045327 0.77118898657914 1.15190330016907 2.89120451323151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax MeyerEstimator 0.809471991557974 0.91297742301919 2.03090071422075 3.39197764283235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax MeyerEstimator 1.30814491431566 1.36072346906269 6.26621740977385 5.69167886209241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax MeyerEstimator 3.84208366398586 3.83866551026296 70.7347499902356 28.9162871552672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax MeyerEstimator 6.59402106354819 6.51926883884695 218.998285919971 73.8974352271006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax MeyerEstimator 1.07699878760401 1.15838809682968 3.9696890210705 5.70277422382448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax MeyerEstimator 1.89281669862159 1.98550623756824 14.4085390432879 13.0009447521113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax MeyerEstimator 3.78525977121043 3.92381072501715 64.8214985072681 40.027273179659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax MeyerEstimator 12.0462996560557 12.2868751044883 705.485576728342 311.904901416809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax MeyerEstimator 20.5488475673687 20.9311833667867 2078.30157200757 833.378992657391 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.404402123200834 0.603129669679712 0.0364210768155942 0.0430404475209527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.400669555904906 0.600713710560771 0.0371061741136514 0.0429095451899075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.398099126213792 0.593299948158683 0.0381998819939467 0.0446591980303437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.402400841350312 0.597052037796353 0.0404269291067119 0.0469506151858422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.403909056118318 0.607180531942283 0.0624110032450698 0.0670469974785617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.41564210786188 0.644495033107228 0.107116076954402 0.106556499490028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.396976920006146 0.595826953432761 0.0383166782457511 0.0453095233632976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.392452474692877 0.59987919646224 0.0467096728393494 0.0500348128841302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.390021690624367 0.609388512659393 0.0747802915207803 0.0689827708137285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.515064849004503 0.75232106447703 0.382275687317533 0.296070183375325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.729279513784656 0.972623404731226 1.13185318314055 0.770555607799112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.315237145113536 0.407401653119071 0.0197405990045526 0.0208408883522637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.317475286181041 0.409528522292003 0.0202622639261136 0.0214197505868441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.317077396634598 0.409277114897261 0.0199523204485002 0.0209405366557789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.315750307808535 0.409269761961407 0.0216628596659366 0.0224063477500971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.319649684207893 0.410491957947924 0.0386224577840613 0.0325946946551099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.33758159436922 0.42653191216263 0.0684220724067033 0.0565873205580148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.323616782672873 0.415127379850332 0.0207041089294547 0.0212177678801626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.318291197716354 0.415093658378285 0.0245692823876123 0.0248733311841573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.323540781630022 0.416627726323123 0.0402824352572533 0.0397984827572098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.412615475933917 0.503200708675736 0.197030325676 0.177145641470316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564857339910151 0.66631289388088 0.564989663747902 0.480493908143288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.301971803304795 0.419904024097097 0.0145708890780959 0.0187637891206643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.305222599391689 0.422051962575055 0.0144241339093157 0.0179887103246319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.307394405388832 0.427842092406843 0.0147504797503022 0.0186441095347008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310760725289506 0.433429649349475 0.0157777708665609 0.0206832198676938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310661887800281 0.449512236475213 0.0233373582910157 0.033531505852306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310669485306409 0.453703267559617 0.0458648255886404 0.0562541136302017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310766045816795 0.42776647063853 0.014709174257612 0.0194452227767601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310631544043213 0.428008658927996 0.0161750485018727 0.0217522573668272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.309385387562512 0.438420924320297 0.0271787679600518 0.0338952318360524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.356659041066797 0.52202100943606 0.131975995308023 0.140804065621635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.460432713837557 0.632051816759259 0.361748509781552 0.351822988053719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.34910626969789 0.442715578333514 0.0267027442414927 0.0274879700442001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.345810842431079 0.438400836508492 0.0277972272659815 0.0272567004453817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.34481797770208 0.435999899601828 0.0284400754300609 0.0280322827347034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.342123413149472 0.435447524760861 0.028384295035111 0.0291534122365222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.348120395449642 0.447591657514257 0.046794240389251 0.0467671832141883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372747539511592 0.480729751362215 0.0852273852078841 0.0839806938227655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.346622383717367 0.441299748240116 0.0264636391537261 0.0275261557683382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.349303333297664 0.449728000055012 0.0301084830164514 0.0329160779566754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.347819174807492 0.456330524990378 0.0494481066869036 0.0580082415346778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.477645348116446 0.567579401893693 0.306136652889656 0.264178505366683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.685826140072334 0.790659189755994 0.843474518854934 0.713035435996695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.336792807636078 0.434080168286886 0.0236996441819845 0.0243255670597685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.335003062415101 0.432394185986 0.0235939065442679 0.024309041183011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.337404937661745 0.434025665337033 0.0243740252112082 0.0251063495294029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.333424021177177 0.431161383053525 0.0256604430874646 0.025476405323354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.347401328125017 0.442125571423189 0.0436046672557506 0.0420252577644992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371408457744129 0.460291945561298 0.0817753635267587 0.0762075184829784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.335546530975274 0.432584543359193 0.0259232045594415 0.0255930964205631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.334779895340414 0.431409199152846 0.0316416532448952 0.0289717162745939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.338204601969534 0.432813213089588 0.0494325054831515 0.0511425368201965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.447385427107836 0.556610907500465 0.235677502960664 0.259055692253189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.608402364356769 0.76072262893852 0.666326825190249 0.661444655988402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.297042421264331 0.383323722684328 0.0177549973372402 0.0196980424542397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.29711339245762 0.384054157064464 0.0180791067079308 0.019970159227298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.297911662829387 0.385202522376162 0.0181258040489898 0.0197972889733276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.302091903051874 0.389300717112626 0.0193042817318339 0.0205159428826312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.313073403949751 0.398235806129781 0.0269444531433087 0.0295302899421702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.31832025488605 0.40735343589898 0.0409181423345374 0.0491798809568626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.299194898771654 0.38562750002367 0.0173159875949689 0.0213147619579851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.29493601743999 0.381015697113993 0.0196697583676552 0.0259362664174919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.302030589491141 0.387476469059527 0.0319283225383994 0.035583404163953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.373320564446397 0.463720908757304 0.146851222439659 0.140646733680511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.485786612291276 0.588204326457308 0.367038202355356 0.348435038552896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.344029752068038 0.434003524096077 0.0239713599325995 0.02230995207411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.341432397576705 0.428549900108615 0.0249730946100518 0.0237790482779611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.339764309117971 0.427209187310996 0.0244852656526892 0.0233019084758377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.337050610742475 0.423979789006005 0.0264882851692721 0.0235932490854458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.335604716390847 0.418983643342355 0.035855657512477 0.0317389800762038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.341345303425351 0.425136219260788 0.0528708247600805 0.049705097615218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.340274691758849 0.429753085130146 0.0227844629431353 0.0210531537665801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.339103318414123 0.426087707867867 0.0249964115575114 0.0228069678111472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.337860040762463 0.430030871371001 0.0351557881211213 0.0323187220430724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.393102200140251 0.481045570368365 0.147534339885747 0.125658832993418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.510081681501114 0.606505691673839 0.389293551903715 0.335282834034116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.395551912014942 0.50128385603504 0.0363413678801904 0.0344187337898406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.392105542036501 0.497373674600441 0.0375377972450458 0.0342346312262302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.386964712988477 0.491901192181313 0.0383894773883425 0.0336090203201682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.387119431272232 0.49053428799711 0.0407477272674962 0.0338856058718135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.392078863303877 0.495565673529041 0.0574269810249058 0.050232951892112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.390251757435488 0.499333418350122 0.0946473919961014 0.0861638451822167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.397347422708829 0.503266035639534 0.0376967101766361 0.0365310055791175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.399478314545665 0.506285329923732 0.0407643929630287 0.0408219530877201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.394813908354907 0.503680670398953 0.0621532948013392 0.0591022975408881 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.488105944918457 0.584357601644568 0.282758945295747 0.261458942020952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.685976946108936 0.801988642770254 0.813655486292068 0.713902053151796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.311914246383058 0.404405206719407 0.0237999536957695 0.021363340335409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310573686866553 0.402676563308554 0.0247245690929334 0.0211610748324294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310919917785425 0.40170185139031 0.0255310125864158 0.0219083817100609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310648835076221 0.401467660065812 0.0284683479363579 0.0242370501224257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.322347518495052 0.416819107288031 0.0479627011483627 0.0406526683605775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.341105839020852 0.438929639590943 0.0808526158243308 0.0716186400378462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.314875386951158 0.406465400960717 0.0262932196484076 0.0243669743192874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.311969698053033 0.405042126398298 0.0318958631007048 0.0287064722995197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.319101914216419 0.410067086414345 0.045815703342686 0.0472886180150098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.447581741816121 0.538483312112139 0.262804988003365 0.240198672593127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.623157741832633 0.75684244916022 0.697604999052358 0.656496550838889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364294037975823 0.49026305322516 0.036865637096603 0.0308568466622303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364047702053309 0.488891846529381 0.0372620748977705 0.0307951019905852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364668031736827 0.489547995000997 0.0375521744071636 0.0298433386434043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.367136132443841 0.491652701704802 0.0387444644770253 0.0302168675486093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.373604852294766 0.506326897237108 0.0604360608686326 0.050111910836661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.379139707212825 0.537500492634525 0.0968478490693963 0.0981593818435911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.354816742481118 0.48495448193408 0.0389558798189629 0.0303096926034352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358670511314342 0.490049165206583 0.0450162311173108 0.0341741104521033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370538530628131 0.513554052708686 0.0661205379930429 0.0511778759446752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.462982789703523 0.62384296637648 0.2825001521159 0.243255963558045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.650497068258647 0.814430996807242 0.850936104178872 0.627324648793146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.462001942236067 0.694765481853744 0.0643501448612507 0.0648016393785514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.462265126624161 0.69707187602358 0.0642840583429478 0.0648507336850471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.462787145364097 0.696723741676304 0.0653681673569621 0.0657801314946334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.458341020451419 0.694084596312137 0.0672954673364656 0.0680848626223306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.464723067673048 0.708427877092438 0.0955657614275864 0.0879107399985087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.464344721582271 0.736318094069666 0.134585137920824 0.127727271887621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.454618850867984 0.692985832320438 0.0664300997225807 0.0686539809235305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.444107506569232 0.685660023605753 0.0692319843993638 0.0691765175072212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.451407055703772 0.704732503931379 0.0917356056241608 0.0869736664442937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.536770319690763 0.819060000513832 0.369573073999969 0.310492160162067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.73578324139757 1.04510907011953 1.07214174662706 0.798191002101004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359167392150563 0.457526952723256 0.031146814504791 0.0305916174845898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359353535875492 0.458867439628969 0.029800981848859 0.0318829717901189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359918294533068 0.460737952484179 0.030384337254309 0.0313689983649112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.362976412327985 0.464512817521028 0.0309488751474242 0.032392462306948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364033326407476 0.470329382726225 0.0474113572963134 0.0474942578635273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363159397647228 0.47313608246182 0.0764716096869106 0.0696268822279982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.361285934060878 0.45936477622846 0.0316677016662446 0.0336933418585051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366260033956288 0.46836439925535 0.0348089776124693 0.0369741546948295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372378614175667 0.478345125291498 0.0493361576500189 0.0480628457348727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.439655675782952 0.550750343364828 0.213762934567564 0.188001758158272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.595903354360828 0.721152397382203 0.574576590450215 0.502055986147511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.377614622460644 0.517881529673564 0.0218746799510908 0.0283921758209364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374188868823742 0.513120117144677 0.0213464169616404 0.0284339413656561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.378563136160557 0.51728984963909 0.0209733601428814 0.0274526679338352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372499154007101 0.513656306098455 0.0237552811219394 0.0291960989929406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.373122290632867 0.527714578036672 0.0403109984607949 0.0458550250190161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.378931028605156 0.541860677195469 0.0758258733828437 0.0772710359315483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374182025965683 0.515168941323216 0.0238159410064553 0.031435678421373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.373621299689326 0.518140422818933 0.0275963712393553 0.0359005070745229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.361706384536546 0.527818647405347 0.0438998044427996 0.0526329479440818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.436530127419215 0.636861189994178 0.213948422683687 0.231706386143863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.587790624953445 0.832337462637326 0.599703154194856 0.592442199280654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.401862532374742 0.511537601570572 0.0300530297220041 0.0291949222688345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.406811361702308 0.515960393855475 0.0295961250438798 0.0291987732207092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.405517251216346 0.515093045092112 0.0311612673715893 0.0296094201813452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.405280352148014 0.513078568318252 0.0351153869104175 0.0332679069877765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.413443378265819 0.520813245563312 0.0546092319323273 0.0567969036146482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.417764248818276 0.522839254198739 0.0959289267879274 0.0997820481733622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.408826115309267 0.512173192033405 0.0345452105761123 0.0318698474419502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.404685546246029 0.509614327402724 0.0385084387975984 0.038673818674344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.41302513856254 0.513094090700962 0.0662812799896153 0.0587872646373911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.517070749024669 0.640253745791667 0.316679083159884 0.298879876747024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.713367875292033 0.857334887244644 0.909405501231635 0.792888237960585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.393303144920194 0.491177309962405 0.034387950679318 0.033374618619532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.388839657880631 0.490636310259261 0.0341766521971006 0.0337440523940345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.383147422627128 0.486369337247534 0.0330625192601834 0.0344594062938398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.378610722735211 0.479198210436057 0.0355712580099044 0.0375265074595943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.395600525386556 0.495570656051385 0.0522864227532855 0.0583078505729841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.404208358605346 0.511046128286516 0.0845027984151613 0.0980361923520938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.386676600947623 0.489102925148936 0.0343241252979276 0.0356938120603877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.386057360834612 0.488165755105207 0.0391733184840768 0.0423661952784014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.401015243949742 0.503508705139357 0.0584533322099264 0.0617492010029451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.469791973807864 0.603219154153119 0.261913737912785 0.265420681315469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.65589500661154 0.811146162425441 0.739038773845662 0.711478459907688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.340012606447534 0.440771052522796 0.0224308127195301 0.0228606408832381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.340581275060673 0.442087249603088 0.0231206946703776 0.023212299744184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.339824391894667 0.44018278248762 0.0237498235628728 0.0228085651159248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.339374666312743 0.43945016283684 0.0256831036217096 0.0238036469224638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.33524268229362 0.429009400904106 0.0382805417370575 0.0337008838309587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.343477367061202 0.431816296472537 0.0659272714037621 0.0567891881075551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.334160015948679 0.434510558451928 0.0228784761151854 0.0234283309938625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.332460172881338 0.432055677249717 0.0269023149481815 0.0264213789914243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.336114989454922 0.436030624706995 0.0395829996171944 0.0359761879723402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.401909219964581 0.497099515833677 0.174856262380739 0.148208249333283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.549753157609238 0.650241124916332 0.481673417942446 0.39614659161454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355440083764152 0.470647759644922 0.0367285397658848 0.0327622814285459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.351484574285923 0.468943660399305 0.0364668863607092 0.0322230118646042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357634004209168 0.473571581787703 0.0370019782924619 0.0337762034409203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366112489200009 0.482394635648975 0.0372924943744334 0.0347151709797974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.382750968873141 0.496728835056951 0.0469296849810612 0.0455865299187778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.386292034001688 0.498125516166717 0.067054569998141 0.0680531573716506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36416448223133 0.478220919562808 0.036679583566332 0.0341580649611496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.368538610119506 0.48317679837205 0.0391452012958424 0.035550797192675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.383296446302635 0.497021734235689 0.0533630359082839 0.046294101426532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.445338182369772 0.554297900749779 0.183481551925323 0.1572952129681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.562267055579419 0.670474308579037 0.475624439318594 0.396921580333864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.397392826714982 0.526897579206577 0.0376760404672369 0.040807696464595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.397643905593495 0.525673429569264 0.0363325342029277 0.0405375501382261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.397699300421512 0.526118688247657 0.0359461916211156 0.0414526562724923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.39613230586073 0.525846686429045 0.0381714413038394 0.0441665198704689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.405121694637103 0.539304007225442 0.0520466706057151 0.0698389705375913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.420005920402134 0.554821189846817 0.0924483023843246 0.109929240360382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.402049606949943 0.532159344457172 0.0386438110729834 0.0435462249151925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.39294021797608 0.529369648318785 0.04322146137768 0.0485885989913527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.403197506682563 0.540078923553992 0.0660737551172257 0.0670092323165842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.52476030048904 0.634289541975565 0.334354089053184 0.258931457535633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.732023430786424 0.83368580936249 0.91444149637487 0.667863462400333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.362880680685126 0.463732297888339 0.0325519736193054 0.0277093791905691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.361348358756926 0.462168522983878 0.0330623652464885 0.0274537770116303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.360451000514171 0.463840323707885 0.0320842620612702 0.0286639047113043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357997527666993 0.458657103364138 0.0359287915040509 0.0317061866405472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364383853480761 0.469748804068643 0.052839065007278 0.0528577335053762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.378007790625934 0.487219199202829 0.0912276821320776 0.0883189542021813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358946004808773 0.455783921682788 0.0321055071561685 0.0301800483638047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.351650258208153 0.451028022913771 0.0345912285314899 0.0348301240314584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357113354457535 0.459584363860118 0.0538772108238361 0.0517403491003717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.473060220569639 0.569505683575598 0.252981335700264 0.246184564013876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.658672604008432 0.772556525213284 0.725381663543467 0.646051579706406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36989422056885 0.519615544736863 0.0404492680206997 0.0337216365474059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36902608827796 0.518192744171093 0.0411026033952766 0.0337053708850511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370722240286502 0.519650867471824 0.0404502077616259 0.0330920422689872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366906662325142 0.514210092861444 0.0410737766485991 0.0356811349911997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.375587961627658 0.522895287070658 0.0573262333931454 0.0527254677328665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.38644240853459 0.532005088473294 0.094668752404474 0.0846791965781277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372385129002279 0.522560965784255 0.0395232010701865 0.0353036122984824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370423094235306 0.524566526417286 0.0415863209827387 0.0399937328934941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.38360499803078 0.540290605049848 0.0556497721606395 0.0587205432216396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.47806671912347 0.631713712734244 0.26752987675584 0.235088204437229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.642380704508877 0.813569916760704 0.752513921481981 0.583886492185917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.462848112272036 0.680637304485269 0.0484741287696226 0.0471569249196679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.457675724694369 0.681082127065914 0.0446258352409642 0.0470635260240214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.463512573387208 0.686639700798633 0.0465815422346504 0.0480869547392895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.46878333688322 0.693839999524819 0.0508813054420534 0.0517493314133042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.467995517198377 0.714759587403229 0.0811450169697316 0.075354891685032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.467041488346086 0.738387679276506 0.146759479648422 0.127463268453927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.466945629842442 0.692461881934837 0.0488031492145731 0.0489925476922957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.469657758425373 0.696227682626082 0.0538389862505539 0.0560166237735591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.460803525605816 0.709688525240828 0.0808724367831726 0.0878085939489849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.551679229167898 0.84542661447287 0.381948688910979 0.342236500247072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.761629339423467 1.07468200465293 1.20594258401031 0.870111663691367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.356606436513277 0.466008992294997 0.0224368798198743 0.0230983330277055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.356923293039888 0.468470702476636 0.0227648699465497 0.0239074303443346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355627755607602 0.46893126878488 0.023370612101155 0.0247955664233677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355828370517124 0.471078302872073 0.0245591355311684 0.0269993705250685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.343529117627834 0.46477570832211 0.0378882599656254 0.0483109961533586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355362961327833 0.476818342881429 0.0653666396695305 0.0781391847421146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.353329366793538 0.463584136520119 0.0254937077335957 0.0265634901838399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.351543964343107 0.462452720621136 0.0288569847255849 0.0308491346570837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.360381394205152 0.468268624744769 0.0461871551763193 0.0475543836974709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.4560385458935 0.578844313884053 0.229694449144706 0.21391485728838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.627984132001643 0.757620282564486 0.657916879652067 0.573843656781642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363025674738642 0.508649023546774 0.0273750914364534 0.0350980897067336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.365329358488642 0.514063191459894 0.0278173175112658 0.0351306978892926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357792296999383 0.508482707763353 0.0275761994190003 0.0356669321967244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.360720797549984 0.515057999407497 0.0283095682106163 0.0383925191789711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.349247344924658 0.523050561522792 0.0412476120820834 0.057932534682812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357664630380216 0.533972496962632 0.0787058193209858 0.0957700400733228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364807207195217 0.51128354020188 0.0294268285367296 0.0371537091050356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.35704934998827 0.509947184024832 0.032520614764716 0.0399291326925129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364797332959338 0.515048808655798 0.0510754101345833 0.0582708655735689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.441094441930147 0.669296911685818 0.267785261428216 0.308504171813751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.643233262822565 0.895742179686889 0.809255189821892 0.768028428654077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.38902700361633 0.503292330979343 0.031381183957471 0.0284635520897397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.390106766093386 0.505618806421102 0.0318736155792229 0.0285737699306029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.391670556532426 0.511552114158052 0.0320051391211917 0.0298992138813628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.384833325312975 0.500326335909761 0.0342714611873029 0.030852252945575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.383148644803177 0.499461233818778 0.0587546329021681 0.0558178520668373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.403274823095051 0.529723321669249 0.101590341596902 0.0989560905100546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.389942579919227 0.504324410605643 0.0331429037628071 0.0322243700457018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.385538801647718 0.503868074461563 0.0368523507646438 0.0392030338975049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.394314803268178 0.515757504516759 0.0580510195493505 0.0628975593780223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.518202745371456 0.643031231277631 0.340427067350336 0.319614224883261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.739148681271713 0.881295107112625 0.989059480568956 0.777085843849933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369572010866291 0.488569386218232 0.0281893863365418 0.0325987500835352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363949316107489 0.480973272574689 0.0288058867181633 0.0330953923612978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.362710110766272 0.476998178237432 0.0311783790153623 0.0346630211380958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36115970855362 0.479718252195436 0.0320275324472461 0.0361857180123379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364363576356288 0.480981836566517 0.0538649690315496 0.0544008942552556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.387818334918465 0.496254980723233 0.0963661133970553 0.0890884579638382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369212727490044 0.485697868997531 0.0306295290188999 0.0341774678079667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366313529850907 0.479957971520433 0.0342979710975618 0.038987430607851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.362800511309945 0.481405479996208 0.0529855832633466 0.0558506325830036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.505891549876587 0.628924311994242 0.316153879272353 0.290542302391295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.711404614792973 0.865542004260929 0.93919696480047 0.775955686828273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.34746681937121 0.43574957322042 0.0246550314763929 0.0220431660187269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.351637106392743 0.438475026979174 0.0248199214085027 0.021800213812558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.349556910350978 0.43642506081376 0.0242520346199524 0.021855619818408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.35535549925889 0.443133701029366 0.0251997768190404 0.0239576370049204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.342714305708267 0.443833948116634 0.0370127139567801 0.037367829564511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.353795984763374 0.454148659194279 0.0636395244043813 0.0628958660605777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355907783756824 0.443201008912565 0.0239867107427504 0.0226013398935516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.352484726852632 0.447572788041028 0.027612185220491 0.0245796283950455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357367168914185 0.455582187181276 0.0388015155357864 0.0353671351975969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.415466979050903 0.519188447177799 0.160757863849673 0.156697400159024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.557466300285716 0.689847982390451 0.464697615458557 0.402142562906613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364180714351168 0.467658147915369 0.0342700146899898 0.0318060158414752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.361204640782016 0.46304383270571 0.0347042799223091 0.0316875045631961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364221442666124 0.466266391099872 0.0348412424962607 0.0321634852650747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369475525352976 0.470246445616295 0.0356307424584075 0.0328749652168821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.367500404190363 0.476564220789516 0.0454337539452886 0.0435194616927177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.373449735502559 0.482277316339062 0.0742492414944271 0.0682237868845206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369174328395287 0.471230076333658 0.0347832696213455 0.0331740239806324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.3661153470837 0.469730005945545 0.0359666550592708 0.0338738839860302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359278339597464 0.469870506277453 0.0500552347456614 0.0475851717368661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.413910353632205 0.54290936788909 0.181208884303835 0.168950679029715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.544124143090021 0.67646103536365 0.497124372373237 0.438544943815933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.412442457737183 0.526487946630085 0.03647233066361 0.0392793966720234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.414844156785675 0.528130969116591 0.036029938062236 0.0394077265900979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.417296963686909 0.531447548358686 0.0362739718294196 0.0401967018931336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.41767434353271 0.52996735098527 0.0374019847584401 0.0431847151902849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.426546170016424 0.533759400023902 0.0560714038519914 0.0656639630245518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.442222437325891 0.558297400566952 0.100520255906794 0.108597585319734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.416844341144817 0.530091565629747 0.0381560236139408 0.0412033599934589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.406946201682687 0.523046772398056 0.0433007259147497 0.0473412935398683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.405800037369017 0.52841543180268 0.063310253485911 0.0727268547762539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.511980511989094 0.679371209199786 0.303567661574667 0.318815253599973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.710817343736093 0.913093740729809 0.904125855149226 0.827742908266754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.375828912932873 0.498261727703657 0.0283021295682793 0.0296545884640516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374896257322038 0.499386120203658 0.0283450352524082 0.0292107310942977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374922405863119 0.500726114457215 0.0285359780181855 0.0297275001345172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369832507851177 0.498709040230691 0.030165474949163 0.0314661441687098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359750903372113 0.48610979689959 0.0497401634006308 0.0535171000767215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.380449642752763 0.494101264141328 0.0897882574496454 0.0908867456901889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369874162501244 0.49438862873217 0.0293334979014339 0.0301927773178277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366779123999867 0.488055246279603 0.0344907219214784 0.036206479868177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.37671016383834 0.488699282468237 0.0586413333829655 0.0558616071709244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.502184073885554 0.639358116059035 0.310015230536427 0.30410813768883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.695366856550738 0.852547635188247 0.864396071970575 0.780453277740062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.378973194207394 0.515771737614637 0.0379412964758957 0.0320227180299195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.380718616171607 0.518116056085975 0.0385385930210437 0.0326782371216737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.37790480855937 0.513600278581797 0.0402153126792326 0.0333128875153519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.380873656993687 0.522461311457113 0.0398144232351849 0.0327035107124182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.377376661119677 0.531895722718308 0.0583111066648939 0.0478719640945114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.387059554199506 0.546968451484683 0.0884210925220108 0.0819761454169168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.376531556949155 0.51707513457154 0.0407158501411685 0.0347146862808964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372941367814024 0.523831977857593 0.0441900827563503 0.0391403362361094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374437583781657 0.534696587945066 0.0613358555079473 0.0578945393548888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.461668494238928 0.654439080661751 0.311980496545408 0.275905412724277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.67481385955978 0.86699075758513 0.993360961872513 0.748769832665096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.414300950651328 0.59827484781651 0.0453959423470354 0.0443016739011806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.408676387138204 0.59916878337737 0.0439180061821592 0.0449372093368587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.411505033870074 0.604518539940616 0.0442072337662775 0.0450185775054944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.406443117009596 0.605043852589781 0.046533385153579 0.048308938065048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.393632194586118 0.626884887766233 0.0701169731689439 0.0688319211820401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.395206139935641 0.650308801623624 0.124209187753684 0.105008838608731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.413055217336584 0.605614430155413 0.0458267726699522 0.0441106341330835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.40993971541404 0.615261340656606 0.053097052941607 0.0473444868675165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.413671443777603 0.645554052606522 0.0777609081831268 0.0729330911052546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.501825991126018 0.824830595377027 0.414299079795949 0.333212674434015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.721561196578806 1.11998536847054 1.23551825768441 0.873347135330996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.317853055977734 0.383629806467202 0.0233543947443249 0.0217628677892828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.315636222761562 0.389966169433294 0.022151503992718 0.0230298980120256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.312742764283848 0.386076363881773 0.0227364295788888 0.0243138261970078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.312118063681212 0.394380686806236 0.0237151635100396 0.0249866226332772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.314473980288796 0.400621947281187 0.0401624563504159 0.0430664143024849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.321842860846019 0.421137626661203 0.0815774777911882 0.0727261425349947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.31382753141878 0.395061977454979 0.0230986971255695 0.0246504905088864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.310112873286363 0.405009174202798 0.0266586813168661 0.0299153754596155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.31991393459201 0.420893645672445 0.0413755049687272 0.0482544642875068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.432994606050335 0.533419953217107 0.264925700638651 0.216595144801686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.622931581646769 0.747660502497145 0.761758645252716 0.567588345562939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.298161782727527 0.433907740550675 0.0174319179751198 0.019411087976119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.298492514587622 0.432071492583195 0.0175065201470987 0.019375427281351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.30022037827084 0.437031923513312 0.0179979960898307 0.0195009863454117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.292830997883734 0.437806931768495 0.0174253943570442 0.0199559246731243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.283393802431323 0.452200495160692 0.0324078184119235 0.0363022130157296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.290157773030107 0.474336242678001 0.0635352640838174 0.0590256895854175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.285598254479128 0.425327729637813 0.0187176517468453 0.020304967069957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.285003797641576 0.437284877222053 0.0250682407880632 0.0248586423883296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.288828717607726 0.459454647912521 0.0403448325296555 0.0423433996103036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.405264496009421 0.60008153377815 0.248572835745848 0.208537264753248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.581839661113786 0.813813823710688 0.74551039377485 0.521496014364259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.356458942129185 0.453770187386192 0.0338329717761114 0.0365088860683655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357793914233183 0.450681845331649 0.0340333525405866 0.0364652610295712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.350217380683089 0.44633309896441 0.0330026721928122 0.0347842775177586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.35349249627687 0.453628746777923 0.0354989956447035 0.0367534389631346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.347686700387785 0.44996195422333 0.053719214869807 0.0588220692902966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.383293593576491 0.497328085083929 0.106578810473178 0.119084117399373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355801697181182 0.459357137936712 0.0367347271705393 0.0399987280857004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355169218771764 0.461698590574959 0.0439106502977891 0.0433156337430635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36846265937607 0.483992391511739 0.0650716620558975 0.0739878365549477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.500421150618066 0.676153815206582 0.345199870231834 0.394712645880944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.72619370991411 0.927573790442996 1.03620576545619 0.9047640479986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.343823664101541 0.440933126009269 0.0292313571079569 0.0301013569020551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.348488439034361 0.442813683528947 0.0290615601431419 0.0304483049469793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.345057253038265 0.437178254117848 0.0288734615894938 0.0289777477895441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.348067728777726 0.441664444169759 0.0310035527638363 0.0285425322147023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364015478128739 0.461227087021233 0.0499616591425595 0.0488792664125233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.367789160117386 0.476165930094905 0.0867582488679504 0.0899090210846431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.339760862859759 0.437231737899337 0.0311273665178222 0.0325468735211458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.335024265864075 0.431225672707378 0.0340782734943918 0.0370700737618855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.347691754876391 0.439796046496471 0.0590061325393915 0.0522990987303465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.447964125021407 0.576072328791928 0.262896237160571 0.254100053827867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.635786074276609 0.799464746026318 0.784855434184687 0.636649102545589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.315931704688719 0.409810457363164 0.0226323099236192 0.0227771672638706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.315799115676177 0.408105416442448 0.02221862335503 0.0224277823302006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.312729903845804 0.405679912773457 0.0226202774825403 0.0217901207695048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.3101904829888 0.408657910899921 0.0241549099181714 0.0227885440095359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.324884748752253 0.423229647772718 0.0443095942148034 0.0343641187395868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.333828294558543 0.428599043350623 0.0678405143835544 0.0565548477680209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.315700617709362 0.420740651662378 0.0234739839901532 0.0227787617128472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.316571242812023 0.424570237395886 0.0267233789141458 0.0260994241189897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.321742528169233 0.426883032921767 0.0395714784968921 0.0379552153236848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.392713545844164 0.527296036678459 0.173529331377105 0.175268718692424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.53975088205115 0.686494137387261 0.51161043347809 0.446332359440152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.336794651180154 0.423915295180386 0.0252043124299335 0.0267287049014934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.337741286794969 0.42607316045788 0.0257449689379005 0.0274582994938953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.338335369434661 0.424654995235369 0.0263491394578264 0.0280107663062878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.339385420734168 0.423577980246824 0.0269907420786271 0.0271135603254475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.336601941489938 0.431173573183048 0.0401436027485722 0.0402288378291523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.343172434560917 0.455953613485822 0.0684849575185792 0.0735721050556133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.340001892933779 0.428147462651129 0.0265152478052896 0.0264836167016449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.33522073883412 0.431943301782439 0.0312330799082436 0.0331288568347086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.337538041888751 0.434418953541879 0.0435419871575998 0.0440047423353003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.404684708355229 0.504126623469585 0.178767335104776 0.162570410728109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.549448654140744 0.656273679665838 0.519774161727398 0.406966336705013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.395239378578191 0.492202539939988 0.0357781925166869 0.0365585590828767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.40370956575799 0.496186347393403 0.0357870989117337 0.0398291961861406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.399684222377676 0.494171336213279 0.0367797927078605 0.0394369551428174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.399478608418259 0.498996368476836 0.0393740306548286 0.0420302039575837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.395526140838938 0.508777074330016 0.0564937339646526 0.0684708601103337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.409934947795397 0.546176217418962 0.107253965191891 0.114458134353861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.398745261655845 0.502767574538488 0.0406612737043474 0.0388664247472336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.393683592089852 0.504483700429315 0.0441662304896187 0.0454867281617769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.390078710647115 0.510722563582684 0.0688940668236867 0.0719058103481134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.501144002564824 0.652016136010633 0.36814940051979 0.329310345791797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.715389609624331 0.870894595276065 1.1080344903983 0.846409559196433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.313577517825225 0.394539619630096 0.0228692541552623 0.0233998408556218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.309804760008121 0.390636631642028 0.0229722318288542 0.0230010655716467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.307061001619526 0.395067949151723 0.022190073564556 0.0246609979404137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.316744922611721 0.398997583387489 0.0255107155442059 0.028729759724882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.314414548210266 0.406323977530823 0.0481863105657059 0.0532395212207506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.344080968821597 0.450194676361489 0.0912544744810838 0.105004579934533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.321792860776121 0.403696193283089 0.027942349507166 0.0255124528674367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.322594843181396 0.406190841165332 0.0333650190146432 0.0333040981818629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.340792369228552 0.422224050494521 0.0571578671133474 0.0555097908763267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.476696732704831 0.577405138679328 0.294794382903782 0.27315623312363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.647376312348108 0.785529804481969 0.873254571572 0.692673390315944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.353769564323238 0.471942797653321 0.0293195347233 0.0259045483079656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.350520103946394 0.472363576552314 0.0303828976294691 0.0280545986950271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.349083986877307 0.475098983747681 0.03116395389448 0.0291483870482616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.347207126094674 0.47901099561182 0.0343052488580456 0.0320750188968124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355399302022841 0.497517616531914 0.0593643468467778 0.055237574304732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.375729294773521 0.536258492240004 0.106149064183761 0.100255979923297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357433808257949 0.482168877898998 0.0332652195314974 0.0297890608459639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.350438720896414 0.485783485904278 0.0390076048407166 0.040737959020137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.343821415148889 0.503993592990316 0.0654268466745057 0.0790416839177847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.452660636208898 0.676508638987093 0.363699626707434 0.321967773875582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.680843344831656 0.946782929344827 1.14584492233626 0.8199843595336 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.852955006612848 1.37968717516132 0.185807319274856 0.193534122079787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.854853447777134 1.3848158813855 0.186978667031047 0.192049994956114 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.857779853961146 1.38896686638849 0.187708336260281 0.191118668616432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.865693131634765 1.40204425675522 0.188660764880611 0.192862069937277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.874890793123598 1.42222133576332 0.212125041514732 0.204995590393569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.871462453452721 1.43157015545246 0.241869717486287 0.247780059415685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.851414882653527 1.37816497095334 0.182676838609076 0.193441355378298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.854923546544731 1.38808204440093 0.186787881108564 0.199336150627193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.851282895346435 1.40634899184071 0.212490037093315 0.223979006901634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.823220013526334 1.43529586435207 0.405585209915737 0.411348735420469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.908637774000475 1.49542148057234 0.822317308410318 0.748708946773149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.761481214078611 1.00345097426253 0.120096193452129 0.133225090334504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.764280247731075 1.00697616007008 0.120207985516262 0.13026450466766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.76420509094824 1.00877759974095 0.11947088663148 0.130509989328809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.763385848471021 1.00775103150054 0.121128596703716 0.129143802379436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.764525982596513 1.00676079032867 0.130118541257357 0.143792582326575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.767345619223417 1.00916545524486 0.149604284714491 0.16716939100551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.759628529118322 1.00841958853745 0.120730797969079 0.131880754765888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.759555237139403 1.01167801747145 0.120830548338647 0.135720000177953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.760946089950681 1.01093962177482 0.136352655131903 0.147644906477084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.7884783487636 1.0450405092178 0.248815579128475 0.26272231398504 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.838254799226944 1.085115561337 0.480928584248807 0.495093024413736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.808285575557866 1.18121528457141 0.133755765263113 0.167475272001113 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.807955947042899 1.18143443430219 0.134990352511597 0.166546100770804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.800972327958791 1.17634718304115 0.135308110939897 0.167141967029976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797353821826573 1.17455915532258 0.136952563402954 0.16846545109817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.794852560257363 1.1795933951533 0.151900134700775 0.179549925011652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.788707546244082 1.18295891848191 0.169833974694376 0.203513080255889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.80349855056813 1.18209528583986 0.13502970322839 0.168056387412479 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.799480129495282 1.18000106560739 0.135870813789341 0.171730821933163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.791462117197734 1.17324211299465 0.14956509604985 0.182201302886688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.778069412877275 1.18623743680435 0.273738808402943 0.297568752270713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.829589618268194 1.24060150025923 0.523653972993335 0.546567397721667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.941771007548853 1.21539558172569 0.220287828279818 0.211756069911963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.942882730058885 1.21716270156321 0.216991954210008 0.211609840354105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.938530757830138 1.2130828000751 0.217781726553059 0.210121059359917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.940728124954436 1.21754761878882 0.218475003409087 0.21237438255136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.952243421666693 1.22481150416731 0.2468910694552 0.230134783829882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.944576428941521 1.22540734154637 0.279647697591167 0.267892911113831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.943950169902549 1.22061203506242 0.220188761615992 0.210504322527876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.943791990656188 1.21884649970259 0.226733104998479 0.217324070880859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.942214698040453 1.21838064648232 0.251600662195349 0.235612343481943 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.982919235677953 1.25766502724556 0.455653645835628 0.431134778371435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.07364524380869 1.34868597538743 0.877708760829227 0.8291096592699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.901779641906409 1.17052843878322 0.206077204815365 0.189641724284545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.897413669454728 1.16562269219758 0.205651102528584 0.18860468899383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.898805668631519 1.16717023808183 0.206391753795045 0.1905349564473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.890963581522178 1.16229033118783 0.205101149828357 0.191258765706304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.890329724024899 1.16149907234062 0.218614315128178 0.202767855081242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.880738417040622 1.15307621834754 0.242789995037734 0.236177308166182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.896579737696421 1.16579572732808 0.207273512090797 0.189989915140633 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.896795007133551 1.16417759957216 0.211880001193986 0.18956371030657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.878435272916239 1.15221589397391 0.218473991327554 0.205569193853218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.894128188207617 1.17341419765844 0.371127435411543 0.371475264167857 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.971730161290237 1.23002560827791 0.717848036322186 0.689804807202683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.748595225641921 0.979067080721812 0.128209219576042 0.142061763328276 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.744835524844059 0.975494520031307 0.12915343541885 0.141321057624431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.742504841587381 0.973431732813694 0.129307386188333 0.140664016930976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.741953713704949 0.973320916872602 0.129134565473449 0.141428067283924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.745380174688007 0.985360692252531 0.138236360915688 0.148378041546095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.744621280540849 0.986985276002099 0.155272061257579 0.162847231983814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.742726022230216 0.974708199118983 0.128390381846734 0.139489822087603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.74215168853376 0.977528752511702 0.132549631604116 0.13897977362888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.736388948815909 0.977701027041856 0.13871817247582 0.144675466268428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.73022951472959 0.971485597439157 0.215454601777521 0.228526721152506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.763008049017313 1.00413634871903 0.379618499938482 0.391067829424506 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.785297706214215 1.04711707519358 0.19187104874689 0.154721785315535 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.785925525185468 1.04847744161924 0.191946050837176 0.154157831088675 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.788760809039793 1.0512379645899 0.194889200614918 0.153930779401937 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.786870516693628 1.05056658637227 0.196408363275235 0.155064128445111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.781832237954882 1.04785624709607 0.203643791178804 0.165968505656302 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.790374537552603 1.05641725983646 0.226139409494547 0.182402343530248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.78431501552746 1.04456046753474 0.1944242173748 0.154481655301614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.77759123854975 1.03979949077708 0.194394666359427 0.15609765977122 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.770893543599787 1.0356219966309 0.199990259837836 0.169413914851939 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797982002056037 1.06019954073198 0.295537280869613 0.271351058313232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.854291628295521 1.11459492092699 0.490279574229968 0.478419744322917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.911983851323129 1.23829012893171 0.27595097441016 0.23758396749529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.915560725344725 1.23963939522546 0.27942732543501 0.238830878282719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.917601544547561 1.24118154429647 0.280086637454508 0.238248063091643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.912212815816887 1.23626795067976 0.27771731600835 0.242428500208142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.929167228538666 1.26105334760035 0.285716394105976 0.258926186613913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.939126110108114 1.27112315237954 0.317191734514755 0.284732049346381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.918892591325756 1.24469648697092 0.277907790867804 0.241071467603823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.920056405090856 1.24657903744566 0.27715037040967 0.247104188469071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.927776500900217 1.25703989350553 0.29669967556898 0.263667870615976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.938624576103332 1.25553730615336 0.443340237916739 0.418984407036171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.00655335017911 1.32224415347585 0.772463257874103 0.759478612059745 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.905914190572589 1.19532782056719 0.197037100874358 0.193126673520153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.901975297305242 1.19211423738185 0.197940777903416 0.195435304679244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.90146413197428 1.19071486330507 0.197441342436048 0.195276822837305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.900346956636379 1.19174516940322 0.195434284772716 0.20147873862105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.911486280477652 1.20104684452193 0.207336607417237 0.21660784771904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.913008056188713 1.20695573251216 0.232602076362176 0.248241054541752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.912724624094366 1.19923903383439 0.199160513471537 0.198070796411652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.905899765699934 1.19120728429245 0.20480474292164 0.205921481672742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.906368677162509 1.19069704465283 0.214576382444236 0.222196563021791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.909911898313739 1.19009646599525 0.389537925955388 0.392109436864193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.992649039927981 1.2554214320822 0.744915663006679 0.747529477569751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.741568417802935 1.07813833790165 0.21157820475864 0.160930553086789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.743572062928802 1.08118975426656 0.213818963804629 0.160960205213607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.745328707221166 1.08250080842428 0.213976712894974 0.161754467754449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.745280315428985 1.08039648311433 0.21632504691493 0.162222197873269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.735150042899737 1.07501689802757 0.22284949828828 0.172375077043585 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.743327195069264 1.0752504553413 0.242451530172299 0.185763177009776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.74820224372362 1.08793308073649 0.213419150920731 0.161487724621082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.748674659407686 1.08583252307033 0.216503364835211 0.166064808831308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.750717624967198 1.09378304784593 0.224716129966999 0.177536466850416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.757453343083696 1.09691004512324 0.310639141974706 0.270512681807136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.796230435949167 1.11520117203492 0.488290613908384 0.45314225178315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.910804204394277 1.54850538871536 0.222980438095998 0.23269641082366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.90927713537097 1.54770718148859 0.222197792461979 0.233954320274852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.908220950238985 1.55090871609023 0.220198374344938 0.235356835523057 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.912691005022852 1.55206862007388 0.221681425322273 0.234382082382019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.908456451053598 1.56197586624344 0.235506931720043 0.254071284017285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.912187985955206 1.56631447081443 0.285823288188311 0.286668117880838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.908656264721775 1.54837731619237 0.222998486348056 0.229689648739985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.909009771190162 1.54858840633537 0.22632916656408 0.236689766587833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.921120595669242 1.56774986266837 0.247336526089946 0.254768745780338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.90100863169121 1.58159793876452 0.45000404423789 0.428651028495523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.994729875608903 1.65680377326238 0.868778571816361 0.82171777970826 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.844534357206031 1.12452302673441 0.181164332363354 0.187786610665268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.84233555907144 1.12176472943649 0.181591164307038 0.189101477384758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.836257168111794 1.1132991782313 0.183320401809927 0.191802620866977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.834137603456738 1.11447357960123 0.182986858542726 0.190905617868197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.8311387581468 1.11710561185947 0.196121231189371 0.203066912163419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.831467741111504 1.1184198056197 0.215087134333287 0.225978027888973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.847205868967936 1.13229691195362 0.184260731022134 0.185206645935802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.842484436768829 1.12801661363789 0.188291765536825 0.188535874416706 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.847090150913326 1.14020106449859 0.190656364673014 0.196684151275192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.840804420516937 1.13038928429098 0.300185006241814 0.291062483429545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.871877616205518 1.14572983352935 0.530777432566663 0.511529079674079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.847672604299554 1.27886353640183 0.181730959411029 0.220852424845356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.85054940048767 1.28121163869935 0.180929150264702 0.22299372080224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.854697168717921 1.28441683068625 0.181489140854267 0.22186545618126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.857531959335117 1.28787167306849 0.184140285870957 0.22112390163676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.872439042667383 1.30279450146843 0.191123280375332 0.237028350458524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.871697144178311 1.30636560803782 0.212655140941953 0.269360211452187 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.848318953367947 1.27803496800907 0.18298394851798 0.218566690074986 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.845114871051172 1.27631149303194 0.183264271489195 0.226886272977065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.847637578330421 1.28012621955401 0.192831227412415 0.24463119514296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.894362132415586 1.33689235223043 0.35530639007723 0.385186986355614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.925610276617897 1.37840228254637 0.666949898087322 0.701657579454155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03895861363624 1.35294214452244 0.269647105888463 0.269108995545103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03769831479343 1.3510606708973 0.272281748528801 0.270929985428205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03335621857008 1.34736124235742 0.272151431767007 0.268596345274508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02746011896936 1.34134068679006 0.27393099573671 0.273623822802689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02676159694935 1.34523772886623 0.299011858430001 0.294777763727689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02919116356352 1.35274740690553 0.342969290504948 0.337747902756708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04613120660941 1.36126221813835 0.268298970821938 0.268300459030708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04804577496031 1.36415864529916 0.273484932037478 0.271231851180052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04395245849321 1.36060602414952 0.296817201531117 0.290933289687724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04406799136355 1.36848570630643 0.521462399563044 0.5005815632829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.12381497646672 1.43898134404443 0.964045138209358 0.911473664841148 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.977831149494966 1.2829845195657 0.244808133860083 0.227583121939185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.980693262612775 1.28579339959525 0.244739731929653 0.228567513432221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.981024224143269 1.28921840560981 0.242533076461091 0.229283634281389 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.973687445321514 1.28373843182332 0.244217617421728 0.228637582887141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.967465966961861 1.27739106816391 0.259840486178238 0.245493387753908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.970682051771601 1.28346783439366 0.29161677596895 0.269305999883873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.97535708760667 1.28589945549676 0.247770309769311 0.22698172508593 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.97137090407015 1.27796066416642 0.251718377728154 0.231387918712977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.961806906516557 1.26841701418912 0.275438612943727 0.250602598196642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.958846649896075 1.25264279824289 0.446380278270926 0.417968757883511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04738973177779 1.35563512313552 0.769073805848673 0.72244124041955 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817976828280216 1.081887595812 0.157159951984695 0.148293439806047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.816835495025114 1.08069689739632 0.156477322020176 0.147746289556668 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.811632677106946 1.07586910761064 0.156476578412379 0.148537138932334 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81459641960883 1.08073758833342 0.156830647876036 0.148478863494133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.800454328328571 1.07341322802736 0.163204016296035 0.158240613165397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.810178769443452 1.08423899484714 0.17943193535554 0.180661639517234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820757624521053 1.08391475459867 0.15675589238049 0.147695761735441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.823105475266162 1.08729275112098 0.162145290295542 0.148950348180399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.815699954188918 1.08267526195107 0.169518361839996 0.155866787745908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.813383538563299 1.09674381766399 0.249450196954097 0.262739935036893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.8476217779009 1.12309591270644 0.450926088717813 0.458876524281448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.924319320723541 1.25966169275508 0.209761284731965 0.212727138570762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.920702019860411 1.25498292214945 0.211244337765197 0.214772205248841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.920723362855024 1.25356614143507 0.211532980242123 0.215135076521256 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.92166317466877 1.25243891136348 0.213573495122908 0.216875519176607 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.922254924043917 1.25290067498791 0.223044624037487 0.225206303556271 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.929922592359749 1.25891175168773 0.247619940877195 0.244855686944783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.922385438005321 1.25738739365161 0.211992542006967 0.214283598496979 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.926064377807156 1.2559169920919 0.213142909494346 0.215439828067694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.917169905440073 1.2472860275895 0.22334797923453 0.223577553543894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.948816182858702 1.26999345187094 0.336351315147018 0.331766757761956 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.969360936644722 1.29484597627302 0.531094560191697 0.530962234063647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02835790234768 1.3667691282221 0.280442444033557 0.273150114763126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02866553876244 1.36580888459553 0.285582838961244 0.274410149643532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03003665320038 1.36685304618691 0.285614323050341 0.275793577004903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02551949708175 1.36295981255618 0.288063459507819 0.277584736570919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03212865273014 1.37482856786704 0.303028078297396 0.293385663781515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04130889353462 1.38717323432656 0.332734401991118 0.333126258924945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02828546745249 1.36798096556852 0.283597809382855 0.270950089841663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03523456898914 1.37629989413582 0.291006603482577 0.2699762538326 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.0298049939805 1.3677755049281 0.312532515755114 0.287231059885637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04727379023565 1.39366338198537 0.491955571567807 0.462148906697335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.11313877332706 1.45602533038686 0.85848748987565 0.82480542639959 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02918259284561 1.33662000937221 0.263352677243364 0.242690218734719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02831839906598 1.33515232857512 0.264954797645502 0.243194349225505 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02966298322456 1.33709300213862 0.265786891100234 0.24378437532441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02546915018012 1.33313864543754 0.267329979340639 0.24465428556318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02391900862188 1.33247175206024 0.275069628436215 0.260912716047704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01842223849449 1.33566409630179 0.296880879521147 0.295251408544744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02405473784375 1.33204589329442 0.264244343264856 0.244557592251407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.0193448694994 1.32891529410941 0.266976756281732 0.247779351950696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02870120770653 1.34113782972126 0.284590967422382 0.272561312580374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04121384914938 1.36103193408749 0.458670419798758 0.435245733013014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.0877401857224 1.40054518965214 0.818949596289386 0.803399248288146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81571346188425 1.17551038566067 0.238638965405777 0.174967460334531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81742905409715 1.17602999300272 0.238288272063555 0.176127143296401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817443381439836 1.17679687535805 0.238331003066225 0.176319165602632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820217494423452 1.18139161794648 0.236646357076 0.177251960554636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.815173189324253 1.17650072299428 0.245551764397677 0.187760602158875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.812106702482505 1.17649205740892 0.272079147544864 0.21132188839674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.815343005780389 1.17901700090331 0.239727677098078 0.173845236412283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.815131590704082 1.17939934174494 0.238792804439871 0.178836420815694 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817711083417336 1.18606060591372 0.251940855052913 0.195818634752847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.814467511821595 1.21624617043749 0.34576184861515 0.306001881845075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.864735491868066 1.24546226908167 0.545795143062686 0.521795990914991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.893088020713921 1.50892580955837 0.259430274922424 0.240195931958646 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.891580215700551 1.50657893212197 0.260388037727366 0.239891060689996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.895575224108482 1.5077978785051 0.262774348781063 0.241123113649091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.901847427330351 1.51580806168868 0.262831125685458 0.243399095053454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.905069651209414 1.52546445346219 0.274395691778303 0.265681120624021 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.890368294804736 1.5242231901777 0.30317768451275 0.300706002531295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.892343622487392 1.50695095405585 0.263854605576751 0.240316178897264 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.894643897599777 1.51460097203622 0.262971557418709 0.24071537266462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.905428215219194 1.52652315248819 0.276855646265473 0.247109771566834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.891893022226433 1.55176327205057 0.470417253039773 0.43012977303632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.956753721919569 1.65384999858255 0.893522207098772 0.838095016833393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.831993555763642 1.10017904542333 0.185426097368448 0.175859124297802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.833593916506114 1.10258502613378 0.184838309054591 0.175500153531713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.836105677790872 1.10470778647812 0.185790413020511 0.175484875883647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.837756975948728 1.10688236410756 0.186671103655825 0.176827448965905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.843851074874595 1.11182797228007 0.198413450497758 0.182676545090052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.847631143887989 1.120733905517 0.225187246215503 0.20870187807186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.838054595493018 1.10835773139613 0.185495414015925 0.179212778474771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.832803371585212 1.10522256615614 0.18643664115003 0.178145560025218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.840511277900079 1.11203081033406 0.199351913099187 0.190110902776503 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.853438393332184 1.13817774161912 0.312902558501843 0.30121325884037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.891028278216823 1.17307659002616 0.543690578909811 0.538546228798817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.88435243076978 1.30308302068582 0.171616032896144 0.212076629421269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.880774318699686 1.30137983550977 0.171513992344805 0.212011734070201 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.879764679012487 1.30311484065103 0.170056053999331 0.212251838537427 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.879846982768436 1.30144136856098 0.176345815344273 0.213305931855823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.88007342009661 1.31011865700881 0.189664165646869 0.236654095762588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.883335866733235 1.3186128318391 0.221695592333783 0.269803488878922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.878872189909519 1.29869191628035 0.170696709587271 0.213004407752545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.875669871280575 1.29765387041552 0.17306992662843 0.219629348971174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.874265194442686 1.30035682453314 0.191518408793855 0.237277899201767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.900277356374926 1.35177753565656 0.355558806069415 0.396075112059724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.960882214311125 1.40943534419248 0.698244673181481 0.731280014780924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03122690870009 1.34284516373143 0.251673308356142 0.276795964507532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02837073758842 1.33804708494691 0.251910415386414 0.276643845835574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.0316069435151 1.33932196646556 0.253568812187955 0.276103214225737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01995219554697 1.3355120245178 0.249431043134373 0.275806643431634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01324647566354 1.33310774938359 0.26354926031242 0.295387336649486 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01829165733914 1.34216234912618 0.303388325575185 0.322216078760541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03477880605113 1.34768619407359 0.252166671898686 0.280519998333155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02956912881483 1.33819693529546 0.257349022929339 0.287689953763775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03000034897238 1.33385749334791 0.273410640445756 0.304111139534396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.06188514221609 1.37723680419012 0.495374268689109 0.515172577126841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.12117417456681 1.42550383973463 0.958536317962869 0.947975549221369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.955238811020439 1.25506905762459 0.227384395370302 0.232252311200728 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.952939009158061 1.2531896593993 0.226657556731103 0.236051246348831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.94682665249204 1.2493039178236 0.22502902274281 0.238672851397084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.949228114253576 1.25048298648907 0.22801384220612 0.23999525112058 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.962188479370586 1.26288190516914 0.238924864459079 0.253288884845285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.961195705483551 1.2632381817102 0.268620186325885 0.282704505931278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.946610149155367 1.2449264818761 0.231473423574491 0.236798988220717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.950946828890768 1.24835611931573 0.234982462056376 0.245611376572374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.958974283100747 1.25868762907563 0.246620430200953 0.260608052318483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.980233828313363 1.29685772869108 0.411448017756619 0.414646904857971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.05439706802602 1.3715542678168 0.762008601308267 0.745728630465816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.821044547834911 1.09689689978841 0.139912746580061 0.159999384297693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820184706783579 1.09637559153068 0.140411910167376 0.159567268164304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820196795502853 1.09689940159785 0.139273299779146 0.160727245184019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820875035612305 1.09810870598388 0.138212031585743 0.160773391609483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.819187355405212 1.10228767117887 0.147259585628255 0.174003581673066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.832259159837368 1.11417095460025 0.165074232187849 0.192336584636109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.819207639208239 1.09444374373343 0.140529136857486 0.160802462985459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.822565281955824 1.09922123421686 0.142072040933793 0.166149877805046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.826699403139835 1.1077302557832 0.154746422625298 0.176938540124269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.812442954488457 1.09119672602105 0.254697823536802 0.278182900142313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.854644383452588 1.14435902330492 0.472453014064284 0.479002166131448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.912068092363593 1.20888336973703 0.191907740546714 0.189202905650911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.915390410005755 1.21218173274524 0.194814270226083 0.189685598579901 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.916077287515177 1.21223379836984 0.192912589920692 0.188625657992951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.91358369746594 1.21148995884675 0.195304733573364 0.189923520930708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.913000031098876 1.20854904389432 0.200191253655941 0.203860169072511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.899219443641775 1.19587897854515 0.220885640029889 0.219890742070387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.914240096072829 1.21358852041627 0.190214288355491 0.189508010150379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.915990588716976 1.21409765124461 0.192692418502476 0.190560799296864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.92530228884707 1.22353483533714 0.208861584192682 0.19707657505911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.928992137499454 1.22547792431659 0.326279317376372 0.305769961566015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.966241728328158 1.26079009462651 0.562701112251485 0.53181222886477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02106240958336 1.35361082882977 0.284198336722463 0.254272179844052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.024098031971 1.35843680131902 0.285989846467115 0.252912809994923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02485313174441 1.35816698485334 0.288245426469654 0.252836951537079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02247926131387 1.35830069491478 0.287765145776813 0.253093756759681 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01485930206236 1.3604193208234 0.294722253233688 0.266527351025185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01261702551614 1.35513825523367 0.326827831409004 0.304867758168881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02229430078858 1.35547817837295 0.284178971749327 0.251629270630671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01711537409076 1.3579566305197 0.285752897713153 0.25590298593544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02071230649731 1.35640776373713 0.288207253380053 0.273416286659986 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02908102695894 1.37769195121025 0.45755434616637 0.469824596890719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.09924916057661 1.44951532200733 0.828095367720139 0.835396419941162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.99581214206329 1.29949502465955 0.256345827060228 0.232514975315266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.996036382541277 1.30034791292772 0.255658952941366 0.234239594985437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.996437229591868 1.30151839148073 0.255895614034944 0.237100967378717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.00289505315419 1.30886609752066 0.258703540167023 0.238234491923322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.996967720555711 1.30407533022156 0.282377105886073 0.257599441057998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.995312408551813 1.30921626415864 0.315031727277592 0.292391822520703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.00007857360365 1.30307718975257 0.268058993724314 0.231630583555759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01030320602468 1.30932146842741 0.276020783136246 0.240428383623753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.00830765407067 1.30964099332459 0.299943702859401 0.253049104860047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.992749913293432 1.30011315173367 0.504738460053272 0.442642759329915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.07570760726309 1.37281231579359 0.890746533393522 0.836878683664693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797187506174153 1.18866041159058 0.272692799178135 0.239948657956367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.792930978601901 1.18362560197929 0.274157064900201 0.24320796801617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.787535824404429 1.17743277050509 0.274242298339157 0.242564375248604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.785545966751954 1.17425872257885 0.275540699234797 0.243104604576048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.772996470902437 1.16802358971626 0.283634095703178 0.249709839948395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.766273233993537 1.16067967193622 0.295337225721369 0.265950407848752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.791900843296528 1.18433048106175 0.273047843355839 0.242040382511379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.789374376837587 1.18254693107973 0.275050250853735 0.23943773852076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.77557593313237 1.16612449168475 0.284085363291457 0.247970129973407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.790819083563587 1.16782162426747 0.379824692777736 0.331235049052432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.846667315042566 1.20592622999128 0.581198626288237 0.531028478380003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.832026903185897 1.37642187657836 0.191998663344476 0.218107448234661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.831732360597792 1.38014709636132 0.191740703364197 0.218638504711764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.833338227057757 1.38457803873378 0.190232228849439 0.219929974647569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.827562038999147 1.38377046289684 0.198143122764891 0.220169099457182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.840208577216782 1.41276196172276 0.221792069595823 0.220479043438244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.839560027391749 1.42007782820367 0.263912413440838 0.250231425701979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.833244804127426 1.38266737853257 0.192288205199112 0.218607325613357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.830894932827296 1.38840698478481 0.198035017922439 0.221227671640103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.825827559389408 1.39818729891802 0.222178964733857 0.228317341293422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.80910305577575 1.47093281573034 0.43511616676952 0.415408370654473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.884163716758705 1.58925145864986 0.862528558669613 0.80599496109076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.756427105902286 1.00678908091897 0.119740227324486 0.141551956040737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.760228223341922 1.00846367789662 0.12186028691213 0.142131685421985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.763337945162096 1.01263657319144 0.121489649797107 0.143126089637387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.76310872216522 1.01502521663519 0.124472073068334 0.142784246758035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.772297191736156 1.02040763396158 0.133093881906062 0.155542786317932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.760256866165027 1.01653432102613 0.158509688008042 0.179258628397967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.748176129680965 1.00115623582171 0.12167506147983 0.139855307500925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.744145313982472 1.00091397977428 0.124372876323745 0.143386463315587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.744555890100827 1.00588324621722 0.131724941544825 0.152430380103285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.764493750587715 1.03531356151132 0.267477019719676 0.266911004219376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.819916247381344 1.0930483070297 0.530964051075653 0.500220895947486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.789145749308002 1.15679270602654 0.136234980770339 0.175050901199902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.788497324124869 1.15937153949503 0.132316969263681 0.173539933167859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.791801904912766 1.1620917050999 0.136431159510561 0.173829812192604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.785051198316622 1.15942883801652 0.136768497609092 0.168435810373132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.79267474638735 1.17674244871067 0.150428418041247 0.179600839463727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.796782078145552 1.19652087727751 0.175319425541279 0.210971031067786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.799463896008534 1.16382603146801 0.137316239810694 0.177849069992962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.803116031101024 1.17115041134412 0.139510870970144 0.175890962771035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.806971010676379 1.19474882899033 0.150655286790452 0.188645963846346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.79318174246407 1.22257723950781 0.312547314370027 0.342832633912549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.851690853747043 1.30429622870334 0.641976348601122 0.654171085149497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.976106505286495 1.25676305921122 0.219125540140613 0.217984341671523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.977319038333913 1.25666686805273 0.217779074878597 0.216189986931569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.979362692639074 1.25754603177353 0.215275313903325 0.216091291727496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.978588599772975 1.26160928558865 0.217233538751878 0.21851886848739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.978337341353125 1.2742002603252 0.240707526514112 0.240211425905363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.967222421324005 1.27815577638565 0.282940414454889 0.279717930693131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.974198117879623 1.25766460266425 0.221586124445256 0.219454287997448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.976910229318952 1.26160411897955 0.226882654265613 0.225416062006883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.957251984192434 1.25028475576668 0.242416014343569 0.246375356225818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.954226794504468 1.27817089012225 0.472867583001175 0.4708745908805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04935643100672 1.39206315274732 0.943742587838263 0.918400251124433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.87293313613747 1.14115910529325 0.208817912545315 0.200949011121899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.873791450786809 1.14583064781955 0.208965011573847 0.2013879232691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.876804652595995 1.15004907751963 0.208806087829713 0.201854229287641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.880490857269005 1.15637694872078 0.210527979600323 0.201738020425178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.861644128325454 1.14906566592113 0.228186948421844 0.216104680820517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.869544252558293 1.16829359957342 0.261487241880112 0.248346245381905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.868971708625708 1.13836769939384 0.209930284246497 0.204900345056494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.868953682209943 1.13953634578542 0.209343406267558 0.206641161790929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.860311237591208 1.14472374672304 0.226222154722267 0.230017483462694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.876886843107751 1.18998296993502 0.391356270252498 0.398031259466788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.97537340303061 1.30780475712808 0.748815581202451 0.764719545652162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.745275282527867 0.995061579999226 0.145714312769865 0.131275069028293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.748876924902197 0.996369474187754 0.1450678566862 0.133008616438236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.748265375414542 0.997769400353603 0.144116557353968 0.133606974480295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.754577488326452 1.00722559589689 0.143387468464712 0.13415114560853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.747075559886206 1.00764892257177 0.159955885112707 0.141339708837273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.743695466767907 1.01662392894288 0.172957600130188 0.15897253099968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.750256636619264 0.997553772483856 0.147670064892684 0.131569544739418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.746725947122601 0.996024186072096 0.149094357451945 0.137283091371089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.747685732264086 1.00550411458642 0.156314594618646 0.153256465143799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.753919196418048 1.04016446213318 0.25552022888307 0.249937725259769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.794693452209138 1.09367791716989 0.447400896416395 0.472564626583733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.825143805145309 1.09941869393969 0.184287561681479 0.170413045167885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.827260434287887 1.10204170401006 0.183139304886777 0.169834928935397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.826731656024922 1.09722549908187 0.184062814440641 0.170470018788135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.824792980377717 1.09695989904393 0.183536370047963 0.173490655615956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.829718100051679 1.10811835290004 0.194562653540187 0.181602997295009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.826569445584379 1.11462966099159 0.223922312663399 0.202889782844889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.828306273996908 1.10654109006146 0.184985078402677 0.170059633388761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817769211701983 1.09667800728665 0.185598125275446 0.172317874316609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820260239382758 1.10545747708731 0.200596185730504 0.184074289964283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.828905696974288 1.13345905191648 0.302764814882818 0.294432058555588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.865325315596729 1.1806869890285 0.526997262021175 0.508799747753053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.961692469777404 1.2757125061885 0.255543365760012 0.247624322461009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.959495695191357 1.27104159503546 0.2580660508278 0.252661128121667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.955360774527365 1.27022437689213 0.257883939771213 0.253893232888976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.964118191147028 1.28146692371294 0.259131522120099 0.257745800607371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.952586924619071 1.27866155261068 0.27639346718414 0.268876883530893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.951076850657336 1.28697773669474 0.315962928903334 0.293088219329833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.95304169143386 1.27358919360739 0.254218435207044 0.259365966878147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.944789138339308 1.27050649248369 0.260785606877892 0.271170807399439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.947952846983209 1.27482751626689 0.281317368753465 0.283686634378663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.954963647086276 1.30014002643296 0.471760566089515 0.452258757257988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.02564017824681 1.38984074836952 0.897590269676166 0.81824161752241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.870401685837973 1.16221835722526 0.205929928234566 0.202382462071138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.878732920815424 1.16876434231347 0.204822632639834 0.200176911200023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.878924774219696 1.16791417105099 0.20652900159208 0.198602257951672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.87775835578133 1.1636248661197 0.201289904936644 0.197948733907711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.874759103882918 1.16256190961802 0.221624773638589 0.217678357118007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.883632333976573 1.18046719576416 0.256836674645834 0.252878605855348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.876105107330912 1.16509831053084 0.207237994243249 0.202077219593055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.891787675628106 1.17540606811173 0.208385113740792 0.204302275368662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.886628046593212 1.17684352524299 0.223594985347423 0.221896121997901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.901275088343494 1.22154388411609 0.400884944406207 0.404810583026182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.988303852872979 1.30101773868083 0.79915049101806 0.747594306418051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.748386322854854 1.08551216408933 0.210652725962978 0.163350912063745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.745045049571178 1.08394270324226 0.208940365755813 0.162249477208953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.748893255048034 1.08748313440875 0.211596524956305 0.161609970944302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.749393320885056 1.08073940647678 0.20988952122624 0.162013277887862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.740204570771403 1.07837294046012 0.218213523709108 0.173434447802053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.734086260989877 1.08121983597361 0.230087961903545 0.189336267379753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.753313867830648 1.08787652372564 0.214015997408229 0.162364479609531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.741942164807628 1.06842442524772 0.222460364388768 0.168275555092435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.732848938673408 1.07577021100707 0.227485559112054 0.176005481480605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.739268534060256 1.0900587598182 0.320193354968617 0.290559605194586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.774225425071718 1.13530397307488 0.58055352673306 0.527422221923688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.95501605113872 5.24257265309926 1.52343582565032 1.77575347921525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.95419460372965 5.23681851130977 1.51602925587112 1.79163395051904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.95581200538531 5.24310851172626 1.50514015020528 1.78874473576682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.96207301825214 5.24918030747252 1.54409500587708 1.79033077062931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.94346845997513 5.24554437051403 1.58444675938246 1.85440769664239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.92327120716679 5.27733793723674 1.73702213027514 1.89855763441393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.95129892652049 5.25103389617064 1.54388591673453 1.77871030925472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.9494395290576 5.24016076818956 1.57868623112686 1.80237348757329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.94789992173358 5.25365068071752 1.64990186982481 1.76310927280386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.90273644263853 5.38315552304218 2.13657895661616 2.30344585740692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.86312891338256 5.46155671562152 3.43328447213737 3.53822658125355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81254746590064 2.94740984849176 0.87219434244798 0.862318836489566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81378172933353 2.94685652535528 0.873190934720554 0.863000401595947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80549601271548 2.94089721462967 0.880430670731818 0.861652406898444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80556275571002 2.94523595799688 0.878949534309801 0.862410190213368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8164403965722 2.97388662898795 0.882284147954664 0.877669009450842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80475615851777 2.95991725491114 0.918787992237642 0.895267072486662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82327031917995 2.96568151374987 0.869254289078131 0.870287568608129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82738204684039 2.9702973296059 0.86791332898809 0.879220653539493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82704522441558 2.97979424495925 0.887126055259406 0.884974074635784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81763433956001 3.01521499376382 0.976784731166332 0.975512507037402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80274292831306 3.05127246496803 1.26522629625173 1.28548525149069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17285059181286 3.71759845322095 0.810631618986935 0.795599093121335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16509336995954 3.71198134686051 0.805046408649596 0.791230630462786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.1785772256589 3.72894900898273 0.808824990722596 0.792240287029724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17864901402987 3.72809608270822 0.808134319358146 0.797861624933655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18987981341652 3.72950732968196 0.827573330581202 0.82900193247299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.20121614157525 3.75327998060417 0.879624324667472 0.861719588247469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16795098810454 3.71699676986141 0.808019168013463 0.791507601319383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16891867580963 3.714059918578 0.808089904548161 0.793881358320997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17645703380418 3.72026089246915 0.834770924966058 0.825778732088379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17003767714637 3.72827066593848 1.06615050100625 1.0471565961229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.11816257530054 3.80112193251965 1.45749850916729 1.51394465195589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.78632287958771 5.61807558173826 5.82792923538548 5.77641781186164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.78687895353734 5.61774796014125 5.82184584785018 5.76778388668509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.78718414615677 5.62175334274767 5.81497167605062 5.77199043606458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.78521897842758 5.62370684021552 5.82349923306911 5.7849864814578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.80122024996662 5.62379151352825 5.96781969875853 5.82195665747978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.79491549432503 5.62685516719785 6.11142484238753 5.9554620210223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.77365911396583 5.60531838037395 5.82891875710328 5.78505971477848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.7937793958658 5.60991165402511 5.90856544897733 5.78142221973321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82065618295908 5.62132575266252 6.11156905075275 5.81682954790762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.80867328250851 5.64101764602202 6.72876245959752 6.44441415068299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.79769580539814 5.72368906865269 8.27815146790545 7.97242604167136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15293428062379 3.55301278310936 1.49242542990161 1.69170341328258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15312835064727 3.56068253303163 1.49278272066289 1.71072455873722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15671218662605 3.56026480860596 1.49745510869067 1.70951843559714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15363133275193 3.55905977063886 1.4909102931403 1.70331005748776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17008767682404 3.57476281943622 1.48049965508685 1.69091860684791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16776383243923 3.57932829428714 1.49470725341412 1.76346695499284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16046136352596 3.5654435971839 1.47386049357489 1.7021743335229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16595073782388 3.56456515691337 1.4864681749591 1.70462281443689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17281979984863 3.56147856666479 1.51599252513472 1.73106354904643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.19728284335241 3.59825026534924 1.79766760772607 1.94115805376769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.22329584974552 3.65478341863119 2.27317003456437 2.36671108628725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.0066048180793 4.73795818469638 3.37704866382754 3.24730108951237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.99726448331816 4.73303149681107 3.36020174808827 3.2578422090886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.99410512816074 4.7300508356522 3.35429826683122 3.27506744879453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.00915660188304 4.74171985590977 3.36226089543526 3.266573031159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.02224408029192 4.75197504837002 3.39399328723073 3.27296018734629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.02126573506744 4.76395183030844 3.43630579076281 3.3724055857844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.00944863101854 4.73234925241766 3.37025055454849 3.26753509769147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.98743816617176 4.72103967832679 3.34686333823794 3.28767418718825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.98777197161156 4.72590167255651 3.36978143528153 3.29774154412709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.997909606894 4.7504238084754 3.8562792196022 3.70380007546634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.96516027142423 4.78594611154731 4.44678774113445 4.34946230445629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.54280576749613 5.40855196327855 3.33264379916993 3.02470056338357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.53615153999451 5.40419414636481 3.34956276119495 3.00928341841968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.53804324095996 5.39616512024997 3.38987937171821 2.97562059395207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.53877376621961 5.40333697149791 3.37852085331118 2.97689496514947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.50998894924379 5.37146711333593 3.41396433129492 3.03744752965764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.50587545272845 5.37809769365307 3.54081879694059 3.08695992806551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.54426108871215 5.4058180759993 3.36496860654266 2.96029673577675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.53058308611453 5.40038165876426 3.36728566308638 2.97743437341191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.51868837746111 5.38737485228665 3.46738166805068 3.02358733998639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.50755986512858 5.42131210071269 4.08332739345635 3.63058283683941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.42723249136158 5.42030475941514 5.34604093451184 4.94156400622914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.83847857612489 6.51053940993799 10.5062742199721 10.4600531190605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82937731709846 6.49693600839842 10.5177266138931 10.4627223553147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.83583081128196 6.50420389683458 10.5240525064996 10.4669752836015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84274115015296 6.50146176840288 10.6270345575888 10.42171371231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84346040147258 6.48327081881827 10.7676405205439 10.4185143297946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84535452308237 6.5307590350993 10.8283799142472 10.6518776596063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84058949962341 6.51554586195605 10.5600650040221 10.4386102506505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84507829746541 6.52557087213918 10.5840792524663 10.5027991099706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84263964944158 6.51746529637487 10.7474541287492 10.5031122530985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.83176180993279 6.52078759461905 11.5324828748001 11.2536393854368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.79708041717881 6.50684283882391 12.9617752989685 12.8449978245969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.86079017104954 5.70253995439448 5.70044686821723 5.8277710177877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.8592748461668 5.69779872958226 5.70611716494366 5.83290285812587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.86723976053741 5.71311544489888 5.69901551703901 5.82750619720071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.87425991155242 5.71407252662739 5.71873442539167 5.83270966460741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.85443362271506 5.7098564076595 5.72313582101263 5.93100675556597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.87832615248526 5.74458774443843 5.9606291150291 6.16585608391011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.8487029891762 5.69936618407492 5.66581119147345 5.84440718910349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.86991719825243 5.73480293384525 5.73255640814791 5.8653653897767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84239771515474 5.710349538745 5.89780357101797 5.96672851961609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.8358886678838 5.75720210091069 6.77344613410266 6.73889924190414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82572057967654 5.78184316530256 8.41898361266863 8.33317434792215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44170241367903 4.97306716743024 3.66202564314586 2.97057215958161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44163339830512 4.9786923765463 3.65409346682576 2.97432612336909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44261699548455 4.9756367023442 3.65546355389502 2.98986469316078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44335662016119 4.97689936151834 3.6517215151707 2.99522234406803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4334970373336 4.95988451750275 3.68964894868094 3.01130429666436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43627342437944 4.97978770191536 3.74230767928019 3.05522473607249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44210069008236 4.97342311179092 3.65965908616809 2.98458136984115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42859603456896 4.97366699545048 3.6457919116232 3.00504835380334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43746885630027 4.96904685759305 3.6936087715358 3.02788050106522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.46023249097344 4.99592128593771 4.16587099836502 3.23439962986034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.51593005274122 4.99251376480806 4.87223259153797 3.79349191441131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.13613896879293 5.71566292812173 1.7298408840033 1.89335848686173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.12287185523616 5.70312769160257 1.72703364268974 1.89386999553625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.11457604362025 5.69686187448326 1.71171424502455 1.89805877874853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.11914573330308 5.69647423406105 1.72578233825902 1.92383873076318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.12723941159945 5.70852912753677 1.80053362853245 2.0063788875589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.1074726750213 5.7028690916686 1.89951728821767 2.13895044782348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.16323311063521 5.72376981094457 1.74018183960771 2.03540330931206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.14699758051265 5.69743088161989 1.71076668182628 2.05711556005922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.16007006731068 5.69878965990412 1.77005294146039 2.13059546591809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.18602179886593 5.82982845952142 2.44437523002728 2.64927098728822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.156383865675 5.93593535383023 3.87838503856897 3.76696227202295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91184447884129 3.15494061214808 0.757189777083775 0.807601154655228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91345908757985 3.1583083427111 0.760335076209286 0.804745407659551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.90732700679203 3.15298062799928 0.754291705842222 0.79370766209546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.90511841196879 3.14777717457594 0.753689877161596 0.79652194878753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91051391755347 3.14670619897411 0.805365124685956 0.784154178934232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91635157827516 3.155048973224 0.825748982793114 0.804144899624999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.90926226575842 3.16007956271583 0.761634073131169 0.804849101116871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91046831260323 3.1621751173587 0.760510987939877 0.808010551590078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9074003735199 3.14781426270816 0.78580803355955 0.818028054006857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84885808716638 3.11357958506921 0.882898674843142 0.968956988182883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83174994451284 3.13898674368963 1.13129391773219 1.28176084134431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40153238294377 4.10923213890818 0.898721573072245 1.01235126402353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41270070622142 4.11815093742562 0.895048062382635 1.02208171662958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40999279820594 4.1130340475111 0.893573823323107 1.02233709763717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40619964065962 4.11611241193496 0.89593847158856 1.01562198292724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40775467692337 4.13302186866103 0.915951770790818 1.01354807649347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40575182197666 4.143406621418 0.942183775090031 1.07009042252605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40988788580733 4.12292913229055 0.895125617667089 1.0123514842736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41497416691481 4.14125851037781 0.914763238503119 1.00942257953018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40533536971721 4.13428117447087 0.938627094833902 1.03759957152041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31638709204316 4.10955139763345 1.23094879891599 1.27802531904146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28521036700573 4.14982023408252 1.9174748134856 1.8456581249195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.09972393585011 6.03388042037242 6.78172006317307 5.97305237471095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.08754179074921 6.01874625970416 6.7861824170507 5.94733746552215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.10169900316438 6.03414556920799 6.8125305895548 5.9315674293163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.08685234945228 6.01859337210711 6.8003836930114 5.90783320529721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.09970573138535 6.02108861486546 6.91397446797415 5.98810324436726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.1119312544546 6.04280099264285 7.03594528170322 5.97344112131817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.09205338625223 6.02590371347102 6.75247225240592 5.95990694641702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.08622361951175 6.01997206869207 6.74020220531516 6.0705960313877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.08770014304483 6.02728223494852 6.83503715753024 6.00925217207884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.05474008186094 6.03440153620583 7.59326123780398 6.83838096804487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.0832938797452 6.15526381980236 9.21989014355134 8.09904044960191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32018292284597 3.91346707226296 1.81747384783341 1.73711053526491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31853676095938 3.91412285912124 1.80611698689904 1.74088840575732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32317084695326 3.92090987110307 1.80000712269499 1.7504214970869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.330759532255 3.92710303388379 1.81209521903992 1.73982394393717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34698125443746 3.95097087065111 1.7991557635821 1.78117236059624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33281603792639 3.93290163292887 1.8670877247125 1.81282306871945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33392245076553 3.91800325330294 1.82204671426857 1.7486557159061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33391318863352 3.92053454713856 1.82345786879074 1.76482388631265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34195690796106 3.93808727808911 1.84620341366586 1.79676613288468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30993052775864 3.93757739392896 1.9553213171059 2.06432091899917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2846730393127 3.95098774201145 2.33499676571281 2.4272295951332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.1749866919651 5.06169716650026 4.17304693606196 3.79245823728382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.17058491503033 5.06274177851196 4.15615294882971 3.79796952991576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.1763036180853 5.06985566711937 4.17608672803358 3.78321639923149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.18237822042502 5.06784615661917 4.22301352922202 3.79426405770447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.18513836809786 5.07764815683382 4.2133747089268 3.87008834973591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.18929549582829 5.09045035682103 4.10630768874048 3.97928015670834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.17711991977222 5.0700301185615 4.1970368235449 3.79335838231262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.17789052796664 5.08017390808108 4.15749319789027 3.849725277913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.1951909575863 5.11289105103985 4.15604065369866 3.89540280901729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.16593677262198 5.09204387422277 4.37285277707617 4.300651053435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.17495053672121 5.21899696424913 4.7523330639972 5.13589391314039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82057428831298 5.80771681711252 3.70087911611686 3.11395673677485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.83010745171949 5.81711831528318 3.69899213941581 3.10988508925717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82964251757346 5.81898795594511 3.69367382797419 3.12116625506511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84127038049925 5.84554187252735 3.67348551214773 3.1289894660647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.87626776811222 5.85580828974402 3.7416420936713 3.14614850906014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.87615784082381 5.87401237625759 3.83591861316831 3.27967114852704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.85659777856984 5.85204249433302 3.67167048591273 3.16670345708003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.87136550509999 5.86401499815203 3.66620694109272 3.21592917516123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.86135993899802 5.8701716933794 3.57898283915633 3.29500593085302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.84928079215683 5.91325561389796 4.13033547224335 4.00331551739386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82623687862809 5.99452374460165 5.55084326427567 5.36582126884116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.30175503874558 7.37502749735354 14.3627201499157 11.9059049369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.30559261162773 7.37184505774815 14.3614318498806 11.8963469058722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.3078728172657 7.37336497863785 14.3903848434685 11.8641978869492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.3043222564915 7.3772103718157 14.3638658531108 11.9106365036211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.30579586803369 7.3647178353929 14.5718351481257 11.8886792225672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.30902261016028 7.33186512226761 14.8892346643884 11.9670724670145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.29651304722509 7.37625927992273 14.3574961872101 11.876199835347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.30557572293104 7.38978904401468 14.4081849563989 11.9019591190537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.2780837657118 7.35332209807402 14.472833677627 11.9599944960547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.25415062972454 7.34832929985302 15.3267513143876 13.0470490136203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.27789312817123 7.41063777432999 16.942547546038 14.4877160574488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.21456955149084 6.41242781763912 7.53171664248524 7.14135954555188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.22058738074819 6.41889306023728 7.50895482281437 7.15826369481436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.22230246302408 6.42994962878516 7.48632725849386 7.1782870610789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.21833480584633 6.43129632743605 7.44953385202556 7.18653770674139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.22448032228473 6.46199372478171 7.49809221149714 7.28786575510108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.24490780388164 6.49959782300848 7.67160340019088 7.42688083796543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.20982602105816 6.40903973866767 7.51746024256276 7.23673026381849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.22410734907838 6.43548872781648 7.53385697817751 7.19596568691853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.22625071163141 6.45021747989274 7.53237120392994 7.40719713059359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.15246429913736 6.40860929077079 8.24014429451861 8.14333977906804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.19589467080943 6.48174313122569 9.70685358005974 9.8410001879637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59248083974065 5.436002225469 4.32280308473398 3.53901670197384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59732290631662 5.44719025819818 4.29591270510142 3.55864511168557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59239465416003 5.43364265834433 4.33318650608392 3.52771820208725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59508932652737 5.43396039066501 4.36053794942076 3.53886688315455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.5957935770969 5.44319057939985 4.42285339355463 3.49445300200131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59192809411835 5.44501520407585 4.4566060522994 3.5885009374002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.60071660056354 5.45008502000163 4.34773267251518 3.54496235891691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59474665890643 5.447520947101 4.3395281207195 3.54961930660889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59855671396315 5.44402675769443 4.40173414075609 3.58195696938947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.67099657714822 5.53435137252028 4.95980144864272 3.96321697860869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.65996722765937 5.49288753918695 5.51913912882369 4.72833191225253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.20452069325767 5.77608802107725 1.85808132039466 1.74895138769379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.21272338451309 5.77197245549889 1.85252159478454 1.74961360166791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.22487526019974 5.77602789273497 1.86105192757919 1.75554420310874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.23798926520269 5.79080191775609 1.84441285962174 1.78616106667556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.24460478998719 5.83018357637716 1.88062716720068 1.82644097433766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.24902419278039 5.86394623875672 2.04260066436872 1.91330688599275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.21997466704333 5.76678275102072 1.84325522515448 1.82332396347489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.22234072542313 5.78238279979508 1.87555331908719 1.82517318716016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.25554677920107 5.83918667951611 1.93976063649998 1.87683782758715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.16520408948826 5.8676902439809 2.60257885196229 2.4807506650222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.10017779509857 5.90392237576703 3.82007769736296 3.79207782573823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89665281161248 3.12842045140437 0.804357496285798 0.764860824893467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89362406493185 3.12376856287771 0.807884995488578 0.761494139046432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89661733419949 3.12323028913944 0.811988078803776 0.758372903589224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89482377359924 3.11527453289825 0.816103474246183 0.754641754573057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91168019975614 3.13049739275155 0.803707085460798 0.786741612614843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92444463050434 3.1541030494141 0.797847919584934 0.800247744781516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88369368232188 3.11260299844719 0.808948724299616 0.771362661988703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87891843083761 3.10621663275456 0.815487054526514 0.770665261104906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88053421658672 3.09632266449432 0.817682059899191 0.779742790900687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87642441661712 3.15223691132098 0.8677060056567 0.937563223786018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.85783431572083 3.18135294143355 1.12372891546699 1.22751805960889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40886862795057 4.12515278458467 0.922274141371323 0.901296922084975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40518655898023 4.12376402473946 0.920888495564885 0.897648547673979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40919762395882 4.12599642759627 0.921294695263367 0.905552745640721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4049851717203 4.12281854112917 0.926755449028785 0.909556900996257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38454459894521 4.11159350799537 0.924050136490927 0.95593595773378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37685331402305 4.09698218992174 0.986110633151183 1.03181480910232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39796638976256 4.11357499304779 0.933306461014385 0.896956838337341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38302825754001 4.10025900718057 0.938356633861626 0.914796118146303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38174398287765 4.10241905532074 0.964822140777745 0.946245167900876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35027828865563 4.13299497705105 1.2329642298076 1.30803727654887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28464766799209 4.16441510333494 1.85674765857482 1.86663443170839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.05094488704623 5.99758356005213 6.8996277503761 5.7090958259092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.04611168847213 5.99708392541104 6.86579162344829 5.72522973367263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.04225735964145 6.00236874924042 6.85469273841192 5.78581271618514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.04427494534107 6.01434681407431 6.81670252015334 5.78997970748398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.04165065889031 6.03177964747721 6.7607961393015 5.95044257371004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.03933668321348 6.04076638982419 6.73529275108859 6.01526233617068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.05936079584958 6.02410394549876 6.85351343228807 5.72056627078249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.03539141578906 6.01260343890018 6.83067387427022 5.76188571729052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.03034749356609 6.00170685733473 6.87072953428145 5.80549000501899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.02003964809978 6.02345162920647 7.64122461085455 6.53815688766225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.970561432228 6.01605983376119 9.0014420520476 8.17398376809424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31375399472567 3.89715064101954 1.76903293107784 1.83084437954529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3224009013208 3.90537032616005 1.78076756885941 1.8126040103012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32665032956252 3.90713467347956 1.7804689672119 1.82064661399145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31934613760701 3.9071821860347 1.79185280645845 1.81723935804613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32151924581721 3.91083950199832 1.84645025638453 1.77232576194472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33223371473295 3.93624253505624 1.86428899345202 1.79725856158342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3228063706017 3.90539435491239 1.79660490333187 1.80006854948969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32080068419419 3.89912341339895 1.80788206281781 1.80068206132811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31216778933563 3.89572353671641 1.78908107124594 1.80618204189205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30363901875779 3.89997273048196 2.07550028071461 1.91988534021234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32999082747856 3.99955962143198 2.40917369160268 2.38311153076675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.31614424263013 5.18417806177475 4.19063497381823 4.02329048992524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.3189457083745 5.18706483331321 4.21218153167485 4.00361398445931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.31618590380134 5.18499509932532 4.20799062379411 4.00657891821276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.31310957450191 5.18391927608652 4.20379082430705 4.00879667963157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.33043190171387 5.19065386011022 4.25925579259901 4.01682250976681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.3190321440851 5.18433534154687 4.35145870887618 4.08261077718824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.30640315733533 5.17650705915109 4.24111492924921 4.00254165132961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.29137505932898 5.163329101631 4.27046897002186 4.03233003716524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.32055640453116 5.18349879177606 4.33385260986526 4.09254990331512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.23337196005232 5.19698119900258 4.46608297962434 4.43684299253839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.1646128091205 5.14784185077135 5.08050738344174 5.36422111335515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.89679789546835 5.87890740672611 3.53735863540802 3.04821307764102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.88790174449292 5.86846486797227 3.5317835230417 3.04424192303007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.88927451040427 5.87038536436989 3.53982726226909 3.04149631596554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.88222884024044 5.86316212939859 3.56369970132329 3.05414854142215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.83656650393256 5.82530776204082 3.6277775830249 3.11117558202414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.83394905671555 5.84097717618503 3.68569212865146 3.25332626687527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.91083926304352 5.89517722311695 3.51396793390097 3.07801152119683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.90677302468863 5.89109443479364 3.54315457191536 3.10015483824025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.90751188336779 5.8934895632482 3.66094887131315 3.14076934166003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.83292958048832 5.89785478705779 4.16026138075714 3.91176863937401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.68699627916522 5.86622042835747 5.56087513704219 5.45009282165114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.27522618237319 7.32740770141851 14.2140179449396 11.6781663885562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.26309369850819 7.3274169995489 14.1357009584843 11.7496616839564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.26850939632863 7.33673238359872 14.1661436676255 11.7412659230369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.24563918793025 7.31849356193057 14.0836729724895 11.8547103044923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.27362958011867 7.33355029742849 14.3223257572969 11.821071839028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.27295337909153 7.33838470331668 14.4585575599931 12.0386598679409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.28327601748792 7.34122003713888 14.1708138417464 11.7433247199303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.28226296812194 7.34192975062032 14.2943317399299 11.7151512693237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.26749038725773 7.33405822830511 14.3602992935734 11.7994146932519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.28573169806395 7.35618038495354 15.1473024384005 12.4656064953192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.28957907696989 7.38734173429763 16.828421197175 14.0182343136236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.14252679561803 6.28096552217993 7.70559017183841 7.21927824415157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.14508799460237 6.28848244196583 7.70544425950083 7.22455007631027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.1517914246229 6.29558575405307 7.77488053890863 7.23508120860862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.16066983082006 6.30671593085267 7.78921629945783 7.24238986444485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.17289099565573 6.32673316384999 7.91509420344871 7.21048738387983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.2116562115543 6.38900678400142 8.0936307969466 7.36615744033123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.13740194889654 6.28702672358896 7.68811269877517 7.20278212139463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.14989906459705 6.30570172038702 7.66460952244004 7.28974265316565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.17326086486918 6.35241278232179 7.6017854832606 7.47157442361688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.20026587554241 6.44998175936042 8.558080069361 8.4261022617925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.19860869153924 6.4979249749237 10.4015218511654 10.1191025545556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64602303210002 5.49116002312668 4.39834995697547 3.52707830436838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.65054530168649 5.50447195437627 4.38100269004577 3.54880261065766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64614502487272 5.49756352301372 4.3803719317455 3.5513543399032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64294863642195 5.49432107992589 4.37002443365608 3.55910633616166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.65078797434937 5.51234976623853 4.40369487584237 3.56175781150677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64765064599284 5.53624708578224 4.4038094296102 3.67032824376205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64076486976054 5.4973893980228 4.39271872751875 3.52890967584496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64203846346307 5.50164267939987 4.37984666071389 3.55320084971562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62835756859363 5.48877812659546 4.3968172322748 3.62857666233375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.61492214322387 5.44544856945351 4.7404272781886 4.13818942504357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.66229916954869 5.45851084858972 5.55834515376663 4.80300180523788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.97840876180523 5.41215727756347 1.73186662609312 1.62548503627465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.97153837412497 5.40095516568925 1.73439835448776 1.64629102623289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.97378144182355 5.40830441809577 1.75401642991921 1.64061831258159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.94881570457994 5.38724492064712 1.79297530166578 1.65872590920708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.90862096050548 5.4040602201198 1.76549024378998 1.70575328290182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.85347413403919 5.42227773409577 1.81883732933655 1.8513093609864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.96915245956027 5.40178334480936 1.73011018715766 1.62820544676175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.93654987413993 5.39981081839918 1.78057829791055 1.60538003298919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.89243206996295 5.36715283295903 1.79267385833163 1.67253084311456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.80072953531628 5.50220258131458 2.46302125328718 2.23404012359258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.81776322750782 5.66986761365874 3.78532544265389 3.61474117774263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84608812959108 3.00428523132944 0.890746567883614 0.814749404886727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84360879901354 3.00188068398187 0.887278731577088 0.808098877994477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83774805610415 3.00039422051791 0.889169717314704 0.806369986637004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84011618482086 3.00119084692732 0.884499435074689 0.809181352885461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83194427336513 2.98636616949375 0.906085948387047 0.841388913829219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81669824210101 2.98997467263762 0.943959293709942 0.86955437447153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83946676426684 2.99498238036022 0.885479590396543 0.807760916416671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83913301577612 2.99051320316646 0.873090064805158 0.831195263703339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83186076092798 2.99665583105748 0.886862907195632 0.835155246920261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7962655836399 3.01081729670368 0.978361480659268 0.936163280758781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74836422275904 3.07167350476796 1.26770868789863 1.22536427234178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18329721114444 3.73957827324337 0.805965825811141 0.856410869419203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18083443956725 3.74121849348061 0.806362541538475 0.848348526962362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17740506667936 3.73192750808204 0.803945283080963 0.858046773589731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17737322839197 3.73825199225005 0.793631089610681 0.867357584997239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17905590741459 3.75570838148768 0.818746808155059 0.882118202765119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15870606648735 3.77314735357888 0.884312741269112 0.927576844118251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17359093315519 3.73828055459554 0.801255849558439 0.865190754083559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.1769657307487 3.73525240177563 0.810810589208404 0.856160083082699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16130010072911 3.743579667564 0.86437125824008 0.890603831387729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.10034631927786 3.814671224745 1.24128672548344 1.22907681690603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03509485562555 3.89070768103295 1.78327751877235 1.846563816726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.77244668473908 5.62085520372656 5.88106865132057 5.83542065511743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.7694096272577 5.61796936693638 5.90175748747819 5.836137443129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.7627958510457 5.61256231676649 5.90615991786698 5.83068470040714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.77779814425567 5.63012465732916 5.92689758957909 5.80624145741772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.77255896424594 5.64098034361041 5.9626262866317 5.90832973649561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.74473198776231 5.61870377633341 6.12835884144559 6.17701974955195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.7682623983037 5.62536341676948 5.76643125257865 5.93489515775069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.78357619875209 5.65168262435026 5.7237820327769 5.9627141431003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.79991339563603 5.67511908498111 5.79763484465727 6.00500004079625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82276942093074 5.79315020352391 6.69556936170126 6.52012893576512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.76759815491635 5.88300583398717 7.91817318901024 8.23684099208923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18143224238234 3.53125859795471 1.34186588068453 1.37037831748269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17876089508277 3.52671923271135 1.35229624460441 1.37610961495467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16372618723896 3.52772206582472 1.32793285424926 1.3823083456442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17105990793422 3.52937596474403 1.32822058561846 1.37030192174117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17306977345544 3.52821319386754 1.36821715172626 1.40890592165831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.1611704910181 3.53139774997658 1.39905981209111 1.42503455062332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18115072905962 3.53182011818128 1.35370369743449 1.37710167452071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18213896065318 3.53208748725543 1.35566390414564 1.38066246008033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.1699350665729 3.54116187943829 1.3835037914525 1.40509410618441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.150180857515 3.61401674245755 1.56195436429688 1.53891273298307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16492054205718 3.74958378447847 2.07047583575375 2.09539539847972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.05728479038585 4.7866491067814 3.02854377729612 2.75466404644123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.05927896433929 4.79364139341678 3.03963532126804 2.74926401042747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.0602609960463 4.79836457804062 3.03469617834049 2.75376185693172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.05141925266153 4.78750714238661 3.06773290606168 2.71870422320141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.02800300816671 4.77972351102184 3.11736034334948 2.77761457490425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.0450130268781 4.83507904906627 3.16229723167418 2.92562431871425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.0516829519084 4.77529329888195 3.06385888204573 2.74714328250682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.05291216513988 4.78031869120825 3.0449892158833 2.76103492173432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.04857291626586 4.76914332134781 3.08946630565175 2.78823925033658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.96410225890427 4.8208128937358 3.54427658612514 3.19371634647206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.88730798416059 4.85968083037621 4.29154220715067 3.95268177046697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.44985475637204 5.36265716507136 3.50324247314895 3.20274225122825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.44247687388408 5.35110058347346 3.51915539644101 3.20245906704564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.44126202616612 5.35209886879893 3.51806879360028 3.21548595035862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.41722513277338 5.33341809458386 3.47481315579032 3.22550426456939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.42182777370182 5.36395111775875 3.54991127388556 3.24221405415772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.41900017540556 5.40249246488357 3.64749246755121 3.33608699520342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.43875095522771 5.35021926019537 3.45896781029018 3.21712981184015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.44550844696389 5.34173879051064 3.52552530239935 3.23806898343993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.44659956528934 5.34563618838406 3.53091979998339 3.31161128896946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.44311564699997 5.48855689521961 4.19675343482246 4.07224811962771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.41088361772637 5.60667953098878 5.51902654949636 5.37484691956478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.81723143695252 6.47792920249724 10.5414197295326 10.426947411441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.81529656302845 6.47967982045447 10.5479523687203 10.4274445981733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.82254850030182 6.48559066330773 10.5832033677713 10.4055194021731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.81863778347434 6.47610970845069 10.6408955800081 10.3631405595345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.78614028970744 6.44510393323646 10.7792243014521 10.3199108853349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.80175816702603 6.48971992321472 10.7229828456438 10.445162291929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.81664709930351 6.47292129499515 10.5009704539242 10.464390115957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.81940711595744 6.47928591231895 10.5685872741072 10.3981544997295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.80437414736444 6.48473132157689 10.6132252075285 10.5458825827064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.8040185290965 6.57971014529391 11.5822624816328 10.909585689838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.80707716946829 6.64097496309144 13.6418726423672 12.2668996122246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.98303062902883 5.77370071523475 5.62329653888321 5.53663835857841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.98076912938189 5.76632621638872 5.67437205873221 5.5444087909671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.98114453162987 5.75846252136829 5.6604586411162 5.55131631944495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.98328333067664 5.75631839215902 5.702476175083 5.55699703613614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.01140874150919 5.78356482114255 5.81944086876913 5.67403872474929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.95226071232702 5.7608634144237 5.8216400182739 5.87886781254459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.97371531047083 5.75356886586221 5.62873168900106 5.57393575831447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.95781712838278 5.72127933156977 5.63870463929062 5.57362215001156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.94578180873671 5.72749114668708 5.73085768085659 5.71123882068374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.85626237546738 5.79614752340371 6.4663221515746 6.60612418684918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.75891535575205 5.89789613665391 8.63341455679782 8.65101763949249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41308041814879 4.9713347673041 3.64605201678441 2.96579167463009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41009428991368 4.96689298964672 3.64247415522623 2.96370885228669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40255163877405 4.95647268021608 3.63168226881307 2.96410537178785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40876275045542 4.96941342900975 3.61561017893452 2.96395046770405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40056121266959 4.94336312848085 3.69283460279382 3.0035333922203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36214489756258 4.91810951292988 3.6987719237376 3.14015710200022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40999707894701 4.9603730892206 3.6682900481761 2.94330015096394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41032707043097 4.97112862121914 3.6587462973335 2.93456356741614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38779336015955 4.96384423209941 3.6323336000813 3.02049612310435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39442805058154 4.98615515165867 4.04151931731199 3.46651810833521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38037069596593 5.00433484016429 4.6087826829619 4.18958809634575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.381748565551493 0.424714095029559 0.0411765518474688 0.0420688963773063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.381631418164748 0.424351745446794 0.0412232217610249 0.0421734570287608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.380624822024225 0.423981896918528 0.0414242498184663 0.0425883729148167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.379619701043487 0.423581904018923 0.0428325127653367 0.044172647894986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.383669630705811 0.434147229206372 0.0513074423173778 0.0545183837488165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.388861299901786 0.444758721920369 0.065216428097318 0.0694931876351887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.378854742429398 0.424740621456315 0.0423873580586052 0.0429301490431074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.382018840093117 0.431968567244157 0.0461340700450684 0.0455209811566013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.385073349999457 0.442232366972989 0.0560532880502633 0.0550874737133352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.419238199079795 0.489024406329012 0.128351863611476 0.12443251691851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.482666699720343 0.560732057017648 0.264577774642731 0.253474058418595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.483860232945312 0.530166554545126 0.242971232516982 0.264749631074384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.486814406648369 0.532122640463545 0.245234485524454 0.266347797131698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.486992255345188 0.534216576210022 0.245396434162635 0.268401505583716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.488382480281824 0.534468227617799 0.247451380728628 0.270929870548108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.49256196131282 0.535357205388285 0.261690122451421 0.280430735130462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.500807168752946 0.542222793296263 0.279978839763753 0.299989906231387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.485243113538732 0.529874931644314 0.247711748140012 0.267392137359341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.487443057414577 0.530967270578589 0.254337073897898 0.272766686011949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.497645833881928 0.539353673766447 0.268908830127929 0.286908012173078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.546965937718695 0.573867100915568 0.358155926217697 0.372718704446991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.616538763022024 0.638543915343834 0.505298091517501 0.532344641046156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358344142348442 0.469409902613545 0.0449813595710742 0.0475592197651653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358983872552925 0.470625622665412 0.0457547057516567 0.0480045328451557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359390447624897 0.472183196791918 0.0464402220065795 0.0488180777850396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36020359845724 0.473476590004884 0.0476906315146223 0.0493188685537746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357376912962519 0.481953787635951 0.0574752732502858 0.059477131235982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.361765284194976 0.498723215419982 0.0716215114991731 0.0755593830035648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358077013328614 0.475671743910473 0.0483253853226344 0.0527881914110879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.356487503409379 0.478162774952979 0.0502340349852948 0.0545911714213857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.356038858064629 0.483084577210332 0.0598697943807329 0.0619785359811413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.383584716122402 0.521694305520194 0.131220277266375 0.131743921582631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.454546965029884 0.59694776107222 0.276487148706262 0.249998364481352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.341750811292858 0.477057043628866 0.0360959974906462 0.0374242586400944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.343354590589497 0.477807522285625 0.0364304327788646 0.0384952254580724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.344107482188001 0.47889755732773 0.0370217071439471 0.0398693154425822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.344643039808167 0.481743641714693 0.0393041368597904 0.0418675160305995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.345403437979557 0.487043132003945 0.0510023981722617 0.0506050493390999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.348779190127573 0.496887587592635 0.0669666034244168 0.0658951695656414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.345737300742586 0.480630798920138 0.0397702727483987 0.0408182040730879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.345398040290621 0.483223477762686 0.0458037276877719 0.0462277501416439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.346263842848222 0.490533672893559 0.0538620933729931 0.0553523208430326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.386192849912225 0.530166841760731 0.136058122764607 0.125624008041823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.452074501392931 0.595538877713259 0.277079891122209 0.248998772056048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.403100167855283 0.486444165403687 0.0379362246410829 0.0398081406482738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.402926224349288 0.486449375079308 0.0381944107991047 0.0401413238617855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.402783879408951 0.487051264359104 0.0391604207364422 0.0409188437352116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.402877318961268 0.491144958542107 0.0420714162115106 0.0436984452430802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.406788212804298 0.499361274486935 0.0564497633120867 0.0576774272078348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.416625090542247 0.514033884522958 0.0762077103689109 0.0795117380764513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.401167813272849 0.488044730398716 0.0409329932124052 0.0432643033849402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.40264643866613 0.492792539949304 0.0466793739335229 0.0489575603482438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.403478104631278 0.49704212647947 0.059149768669173 0.0598642883890724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.448395539089281 0.551535425553756 0.167683124396657 0.169676265852351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.543191329280826 0.655688917090498 0.38737912303351 0.366174524536555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.351201765155875 0.610246471064897 0.151326928337876 0.146066117900294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.350066179698316 0.608075827866061 0.15122552649369 0.146402206472175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.349160392099811 0.607660855917083 0.150975395820685 0.146250503564246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.349452835059345 0.610803579094791 0.150914274223451 0.14629782852627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.354288883771201 0.616445270855656 0.159612011592493 0.153618017234794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366234152213414 0.619302010145664 0.180325740480762 0.168314921443427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.351806519447554 0.610539484145551 0.151702692847902 0.147913421663028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.354738093307296 0.61585965024159 0.152614389567314 0.152656750543577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358635514313914 0.619099623778421 0.160349972740788 0.162446251564712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.412969349851409 0.649549319601723 0.251601347459413 0.235493338545505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.503452575558873 0.708296401035629 0.449095104231405 0.37697413359902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.375685154356769 0.424367597762999 0.0311378326848946 0.0323274142955747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374869316276762 0.423864593631092 0.0313182856574748 0.0326212293830001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.376109768188356 0.426248713202137 0.0320537194433221 0.0333066152789176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374864165698918 0.426359745322708 0.0336650166700103 0.0345753987322672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.368755783107601 0.427649510292186 0.0412591818638377 0.0428102745472505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374631393100776 0.435509458915802 0.0535838870728324 0.0560535420961898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374981098840743 0.426933663947071 0.0326980056412505 0.0337860087258549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.379218472984652 0.432555446220286 0.0358317305688879 0.0366480023209743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.377714091472081 0.433816165846677 0.0438365491830036 0.0450952486204447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.407551631269617 0.480508866309395 0.112597150891191 0.115938612374582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.474645604793785 0.551676900882399 0.250549056143126 0.240825216021924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359886358028987 0.589564546997672 0.190322088363562 0.195656603674116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359381629820036 0.589227007824362 0.190474461500086 0.196053765127014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.360478812398474 0.589213044186822 0.191921054900635 0.196411656850031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.3621219644444 0.591464524793892 0.193531049105284 0.198881376979606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.367284249625735 0.595308468383836 0.204652109255776 0.208329291805298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.377281192089366 0.602741179617777 0.221647220438148 0.224869727776753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363019092972293 0.591194064911719 0.195632403008132 0.199987376371843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.365850882652208 0.594412906731948 0.19756986825447 0.202505017989003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374267579926527 0.600309619973599 0.209466357265129 0.211845038117175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.423816688248858 0.625276027726945 0.2973814449034 0.290512391484597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.503226673206044 0.678488484525906 0.454013353438389 0.42740739578029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363835695986848 0.456139132685769 0.0591903780419522 0.0599348764619803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363745876794374 0.456519675263963 0.059583189634832 0.0611309410562615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36356544852372 0.456677235235147 0.0594869317651375 0.0609918395706104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36267078599773 0.458205698390568 0.0614428701595593 0.0624525389056189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.365132410546462 0.461219551630584 0.0710633914911198 0.0722260740064355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371782917696732 0.472982709148101 0.086673940673057 0.0875743327210733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363906506332376 0.456969039108499 0.0614543525548772 0.0608993209659964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364760429387906 0.457931588519118 0.0632263520900389 0.0619025453810034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.364049946185785 0.461586474024126 0.0718338575610928 0.0694930916305132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.405640388287107 0.509085849449735 0.157219086839263 0.140623491230749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.483408559919901 0.586457825625901 0.318556025624093 0.278016163173744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358325596022272 0.478461495995135 0.0547095489045315 0.0540819160091923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358428659913454 0.478484475634135 0.0547372130583849 0.0541369928300386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357672298532045 0.477926764536428 0.0552421476131428 0.0543324567611535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358774106714357 0.47972788423416 0.0563282886680198 0.0555482793439704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.360802326668279 0.48351559100366 0.0644117571856098 0.0642362912807142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366665914917542 0.491355015712116 0.0800518366064104 0.0803581128016906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.359223052099784 0.479659214904525 0.0557124959033549 0.0555319953910246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.360527245386882 0.482330064505178 0.0584475765647058 0.0576228696662991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363700151757864 0.486560317060013 0.0673354298773389 0.0663373500788592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.402960637662893 0.531173639444849 0.146676866882191 0.144876475389413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.480599740125996 0.618785065075994 0.305587008016693 0.292255004280673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.543320007238191 0.67346135728408 0.0628227930611171 0.0618580901647533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.543350785437522 0.674243422073133 0.0627929706587538 0.0620913781577287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.542851037697107 0.674402848098167 0.0635774478930925 0.0629742386339984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.540953809943671 0.67192463386506 0.0638823211633778 0.0641734531969071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.539911082103217 0.671248223313397 0.0695760661238336 0.0707159122533561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.542338685558387 0.677312232845503 0.0800988301992004 0.0803786773220148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.54251022525556 0.674278160528665 0.0638793565094863 0.0638545278307528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.542996364185245 0.675228591241894 0.0664857296972148 0.066496236149342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.543134414518652 0.676664830339965 0.0727140296257096 0.0724853637862115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.55344431401707 0.689048369920758 0.114343721983506 0.112806216140177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.571132925858984 0.714439987988169 0.181232010849535 0.187331618419149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.618309197051434 0.661695387469118 0.200931726770019 0.20207661446189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.619226104324784 0.661626757494579 0.20170348783286 0.2031866155155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.618433776178262 0.660606203440469 0.204294596602733 0.203990487559389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.619365619126125 0.661655879471124 0.20333929032347 0.205651801788253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.616353974275498 0.66426141836225 0.208121830754016 0.217521676433193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.61591450996009 0.665104594924626 0.214557961607505 0.227323258742978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.62163837876803 0.662548159299418 0.203663968756561 0.202792741940795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.620935697985142 0.665206741209313 0.20904305524159 0.212026612537532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.618352305117104 0.665680652652497 0.213068499771053 0.22313407750626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.623690755091882 0.672373401456066 0.248509362920824 0.260009079468861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.646144148624159 0.68993339088588 0.312848957241746 0.325172090583089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.534370006111427 0.689486727577711 0.07623957038296 0.0758495297336076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.533771277502947 0.68954264506456 0.0763134861782046 0.0759330643049271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.535291855410419 0.691073053411494 0.0762653666984569 0.0760349724116626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.534720205358778 0.692664602700522 0.0778296019433977 0.0771539752193438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528451995925062 0.696612989880125 0.0850038642766051 0.0841115062688087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528539262516436 0.703571636292041 0.0942170708986287 0.0951509793213178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.53204934775018 0.688582318540892 0.0773809973050881 0.078670746304891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.529126538173906 0.689242817193788 0.0790963536159449 0.082186062819342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.535010437026166 0.697360719291595 0.0854769255047952 0.0871712628705241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.548465930965333 0.725530263341405 0.127680032627082 0.12799143793843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.56979179261395 0.751854811533559 0.193957106358544 0.193892731986069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.522144479495336 0.694883146592007 0.0618284922073671 0.0613584134238684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524846666495819 0.696594456154573 0.0624463183912012 0.0615592341953783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524550206052335 0.697241245051088 0.0637174112321613 0.0636891942988031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.52545027474528 0.700869996692189 0.0655608572045213 0.0664399395908959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.520445087329632 0.700694095448553 0.0730536448994603 0.0734267695516842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.521414109898275 0.705559990450584 0.0823388443063461 0.0827731877093041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.522791248583075 0.698637537215549 0.063810267678052 0.0631364348972199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524201621173939 0.70106222808666 0.066658869481444 0.0655694389248158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.518633725544412 0.699390319641722 0.0725284993649564 0.0711309538884709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.520786027808924 0.714948551463686 0.114440977618466 0.112975751359213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.532893635473214 0.723861487239062 0.185438334783982 0.17597134093263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.537385595784 0.668703250728068 0.0589404118025775 0.0567419113986349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.536879913837099 0.669147742412606 0.059666807438674 0.0574263375917544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.536315876391471 0.669136576981474 0.0600482335444549 0.0574809709917925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.534352274891307 0.668123633344177 0.059750384791463 0.0581429584853841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.537024064951978 0.675223987536608 0.0657667933075165 0.063358862446049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.536615255619215 0.678674783816916 0.073756111023113 0.0734439472716432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.538292372772632 0.671187208807733 0.0593961842686425 0.0574715457881518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.538486379856882 0.672603139168671 0.0609217635666115 0.0588948179907842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.538279948631864 0.676918416823902 0.0680204971148222 0.0653772556713117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.54271816499094 0.689277520418245 0.110932741585685 0.105893380822221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.551411912917246 0.704153646068891 0.179308384780723 0.173477007843653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495843309226065 0.849900601119058 0.251507121351806 0.236792280219396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495252845249203 0.848427210308756 0.251083710607947 0.237808159931893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495758234528138 0.849768995530547 0.252436911617988 0.238606767912624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.494895372919845 0.849483257501574 0.251700830882616 0.238706442415414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.494886678985545 0.852721052328996 0.252709476363739 0.239975696637031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495970342732041 0.852341797951927 0.261351033902822 0.247937094224318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495323641938643 0.846462313278807 0.255189559136148 0.236962228849223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495274625900793 0.848882905309067 0.252170437921527 0.236115446851638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.499126576064632 0.852958950402736 0.253794289583928 0.237925426618228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.51436698336337 0.87526866316277 0.277735287205411 0.272812701963439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.541950310331265 0.870305100489674 0.324174043282143 0.306629769217869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.576028591569368 0.703431501289188 0.0661581910281353 0.0650659787145828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.575270339454339 0.704093176533256 0.0663951044390627 0.0653130226301869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.576765427808726 0.70666531964497 0.0672310895407893 0.0669147587728386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.575361603464175 0.709260813409498 0.0684657884724036 0.0692258307091924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.574200439837896 0.713552109320173 0.077892564710085 0.0744375946764186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.57095092249949 0.719315384546461 0.0880449739329212 0.0866992880930968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.57532182597577 0.706084385082342 0.0671393040225167 0.0665545550331094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.571900097115586 0.704768744811999 0.0691979068199087 0.0687129459217982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.570288541968676 0.707134994704705 0.0748402974993821 0.0739378464470917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.570226518076482 0.723287291645053 0.126233581519719 0.122277994818903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.588460342392012 0.748988488499402 0.216895985688451 0.201491018101495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.498521722374634 0.751085238557955 0.119961586215257 0.119561765760349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.499182233567689 0.751915183431102 0.120994671429185 0.120525634315844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.49863702204547 0.751534617625729 0.121381476299367 0.120889136250563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.499397719583333 0.753047338946879 0.121969572471765 0.121947186141936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.499072128362667 0.75460880658328 0.129698991604189 0.127377360613655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.500751363823261 0.754847173615916 0.13972220840595 0.13624910166035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.500032341715833 0.752163294840874 0.123453527207784 0.120948075969593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.500554170779039 0.753761578861907 0.124584588562636 0.122203312994808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.499071164921871 0.753732283003999 0.131550512937847 0.129074158591489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.517276175004304 0.771816224329683 0.177817065639944 0.173629574287432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.5451869522962 0.785384136372707 0.251481789769653 0.238944626153399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.530545976309896 0.743723863317813 0.157567011994386 0.153791014031626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.530367248843324 0.743516834728607 0.157389437469763 0.154113703557853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.529160285502774 0.742596474203951 0.156417005170053 0.154111801381363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.527936415948049 0.741690281174356 0.157215838689817 0.154949423016942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528897632538119 0.74564496103395 0.159500966499833 0.158990077019308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.525722101840193 0.744931514644352 0.166780364371687 0.165725317073587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.531097031629932 0.744132870618216 0.156689140726721 0.153811590643733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528791448701589 0.742674206098836 0.158375443191731 0.154868596613537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528656580898761 0.743505088937147 0.163504786055322 0.159430578673344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.539102727003034 0.754383447127883 0.196467678894875 0.196599160809041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.560545362026293 0.77728232363669 0.261021651978269 0.26654458942322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.510267817755157 0.777972381802402 0.156518783539517 0.153062495640375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.510790752368762 0.778702445651016 0.157258993364034 0.152859348226321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.509899656063974 0.778861246262627 0.15729803137249 0.152820977431193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.509247387574634 0.780279263430749 0.157447009689394 0.154097970709382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.510144284056205 0.785620944119441 0.162399686553766 0.158628219296988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.513036556650911 0.791864313580136 0.171521501172811 0.166537365290461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.510604120275114 0.780895260908397 0.158065218180512 0.154006902138087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.509702315471918 0.781808501996374 0.159147397792971 0.157051255187456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.509743271321481 0.785276723377893 0.165651735531596 0.160872480362716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.521990234647358 0.795689068934937 0.196376826032825 0.193326701063441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.548041628061058 0.808418082189995 0.257929156707717 0.250716751339966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37613587460271 1.93117320804853 0.420571890223169 0.391831548233284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37736596131947 1.9313453496674 0.418458470603982 0.390072987948099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37425389881975 1.92681228126162 0.422448865058123 0.388509346577632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37163694973968 1.92620106970211 0.424262714776736 0.394676597466151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3607815780194 1.9351105715686 0.44391234192908 0.436256944921393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36479203867471 1.95182913708417 0.475054191028295 0.487542203742844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37135275061104 1.93413455694025 0.428896561311917 0.388728827450639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37466430225684 1.93698034293314 0.435396702854462 0.387754400961543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37662486167585 1.94497794397583 0.454012806787033 0.420400273797642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3629933219719 1.96680790286208 0.550807078339507 0.546789810915103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35794597221051 2.00094727919091 0.82559289420317 0.791354876326621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4823107074038 1.92938104663628 0.681903806988988 0.627769254023269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48307237133289 1.93016770042898 0.693822404227259 0.634933184237262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4792347956731 1.92960988942222 0.692618602078591 0.635222981506237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47155547934257 1.93044642305067 0.696974019188712 0.634189492028248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47678869109639 1.94634261472714 0.734418615732922 0.675954428800552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48969163809285 1.9775160491104 0.759383913925368 0.711514730808712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47503586093964 1.92857082137991 0.695438108069475 0.632512234644436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48676640861488 1.94283258798257 0.702391292007144 0.633361596557259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48565288112802 1.96079522628541 0.712786358248283 0.637352957112225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50206144258833 2.0186909226831 0.885988140340397 0.828858951901479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50718349309411 2.08431681700997 1.15767264274108 1.21101554792104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43140829709663 2.02245443915461 0.357397492826905 0.346758863795489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43245729625584 2.02986051095764 0.365260871006377 0.344009559967295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43532377376146 2.03135040995182 0.363950884114556 0.350399256556716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42953078650758 2.04427904609686 0.360877566811176 0.36836855736691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4109469308173 2.04905351355892 0.375115550713247 0.377465733539155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41146077323332 2.06457409012304 0.405528962934183 0.389363847631359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43332423162255 2.04639732290919 0.36466791883143 0.391520388513008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41668215278472 2.04330897663617 0.362592077578078 0.387100756502744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41772354045575 2.05388949521621 0.373349204533024 0.409298614572906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40042579927249 2.1184702297944 0.526860953181194 0.538320018816798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37233823961024 2.17902000252951 0.772960064709929 0.803405798034639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42188286090697 2.01205098071727 0.357697025780498 0.354874573705822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42137454586126 2.01493490515458 0.358165665031277 0.354697797497668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41768860942701 2.00908454796178 0.354216708333392 0.353996518489688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40720695424765 2.00131721173923 0.358010642962911 0.354988569859764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37540040142087 2.01797649136455 0.404086987801449 0.394448602365999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36740283617359 2.06144054530564 0.442724167719081 0.426030864891064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40713696754203 2.00610929328893 0.354131503286137 0.360624101273249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38400177987902 2.00993222332979 0.364093083224885 0.394895168658655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36556943134966 2.02034554671792 0.392953095283501 0.418585299287702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28825734163239 2.10109094625708 0.51927250451182 0.55342407714029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.2586981319973 2.13536880870371 0.886294662205289 0.742531504524106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5914491219331 2.20396116443727 0.533629763004563 0.538441959124099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58688933357393 2.2058806051443 0.556590110403464 0.541495200421693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5853153166991 2.20428989555579 0.559442780251428 0.541609256339622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59223977552691 2.21248351716173 0.556737912043266 0.547675494775232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60987456887629 2.2334370809784 0.567633496196517 0.570892086038376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6042410848318 2.23397499521089 0.619301243256059 0.624435795182945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58950389909408 2.20887820530774 0.531490238618137 0.53128910933294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59333631658797 2.21917743388322 0.550889134470051 0.538954641799243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58657519877381 2.23718662430199 0.61176860258407 0.582708823464655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.574771432189 2.30772780429096 0.82409003594634 0.805613459409317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57726372791935 2.35447761556877 1.26853033470086 1.15292845240457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23715783662865 2.83339701527331 1.40259609820046 1.21642728185425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24017923079219 2.8385158911788 1.40413944084412 1.21620017627397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24544118112567 2.8454331031066 1.40629274785084 1.21668703516459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24246129423481 2.84481314812336 1.40555175480089 1.21994792044637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25379662212193 2.84996845901993 1.4706554404974 1.24982135363382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25768721652614 2.83928141946733 1.52857871913389 1.2740172496814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23856074244269 2.8446949672087 1.40449528334713 1.22704316203653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23344058179461 2.82707069257651 1.4069427456885 1.21692594209378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.22178631363824 2.81724171785443 1.41354180475725 1.25261158322303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24853306646479 2.8110951278671 1.62882522127612 1.47226587372295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29948564140765 2.79039563531429 2.15420764463493 1.88066708164681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67618111717097 2.24860768830041 0.587598924277589 0.574129136572091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67878130022079 2.2496702984636 0.587607121269067 0.571892530715044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67574677379705 2.24752465030609 0.589732051205467 0.574431146668037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66559414393328 2.24183631624622 0.598711148299196 0.576028564436472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65832884368266 2.25940920958784 0.62614646190354 0.599816085065494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6224745997887 2.2629440675779 0.664311707686631 0.65435871778379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67180247161716 2.24502452861137 0.593404286779916 0.578383607922099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65733486253024 2.24609514562275 0.609409822163812 0.599473655942713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64148796224113 2.26107274981039 0.635497207632344 0.62582932900956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61200217031463 2.30324576851099 0.917932371387022 0.84071071360574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61811545554921 2.36288949389214 1.36477474164176 1.22543412539164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36040708214919 1.91417060495155 0.582331497112975 0.542005460213566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35805550048525 1.91610317676836 0.579024698625454 0.538800797951931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35614941566412 1.91585028912697 0.579239528474087 0.536413084267293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35076663063308 1.91767543252981 0.573195237891807 0.542562127341542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33276543369433 1.91481989940401 0.604723279225107 0.579875403973616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33000316190465 1.92085914700078 0.638560881158999 0.595475750756866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3560143464256 1.91555501938592 0.576523671473397 0.534304365950859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35173808320283 1.91973866352553 0.585806487113754 0.550135472255718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34083015501555 1.92161713398404 0.584818907307375 0.560096524498361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32507583127165 1.92803024436257 0.71500464715648 0.65477219301647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32727652610918 1.95796816679683 0.933784997223959 0.885773732918374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42261429796779 2.27010669172554 1.21527942137815 0.952386237317778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41620177316246 2.26878140910154 1.21295272379287 0.949834657035053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41677267942857 2.26829507045852 1.21068725211173 0.944796824401303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42401855892137 2.28026452945159 1.22074442902286 0.952919666191799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40885148346218 2.27483239223903 1.2056262039399 0.945804643661937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39955696994513 2.27946997751007 1.24540637850718 0.969230295731755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4126601560218 2.25959485015003 1.21246727209322 0.960752791459115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41018198779395 2.25572606374269 1.22931259303451 0.963368907860056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40374989513825 2.26708504230515 1.23423003897129 0.977804291156897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37907015237084 2.28051012940136 1.34108568185601 1.13997883589862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35210677857282 2.27899084190015 1.50221586643621 1.45216318552867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40045758844213 2.44076413904 0.988336103575807 1.1308148124771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40299924338042 2.44408564524714 0.993334553286817 1.12866366191488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40728881523503 2.44581276520522 1.00558295212384 1.11942225592338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40076760417581 2.44188499612328 1.0052693650809 1.12458884889754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40346654229265 2.45688514439418 1.06803399083227 1.1437538778353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40296241275403 2.46688224967775 1.13571205230731 1.15480570644296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40829797854925 2.45194952050912 1.01239264825213 1.12363701787232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40560074292273 2.44788374238038 1.01358407552664 1.13244827745203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41570340169244 2.46946249528276 1.07754907464359 1.14144228999055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41482006248472 2.48672465480417 1.25128358233436 1.26038271954614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42202079727104 2.5472422716752 1.57737980150788 1.57798229943977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.563742287221074 0.713653395772285 0.079595398788547 0.0767939078239116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.56322316662792 0.715456873678954 0.08041251917214 0.0770675889588973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.561677578615201 0.712868587739193 0.0809280906534132 0.0770170629871037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564133733084721 0.712769212468263 0.0830517231246121 0.0810625519764381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.566704441234866 0.719406587356106 0.114486816153373 0.10961951832192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.56793102646682 0.727073648086372 0.176924480160409 0.166047107726846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.569289862533076 0.715016167075167 0.0833021000165512 0.0791817032126074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.565021879984076 0.707235772372299 0.0914290346210594 0.0843588750677862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.572654820501901 0.715130812328228 0.126369927668217 0.115051986375896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.667391023099313 0.8128344848101 0.460026068747556 0.411309557567251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.871980197269417 1.04910844221311 1.22137282780626 1.03564462364408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.541137773301541 0.696973465754372 0.144772433441728 0.0954520707611223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.542091891586476 0.697560277213158 0.148051147541854 0.0952565797168262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.540675082833391 0.698916557745573 0.14910046460501 0.0950209165542188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.544293391760998 0.699795976735914 0.153011270121377 0.0984200462815954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.556239658714613 0.71435107772081 0.181014587192256 0.128567984711473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564156472581775 0.741281937249257 0.245941774670556 0.191537399086148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.534480179728745 0.695536041499096 0.147160348105184 0.0927257173009155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528319233813333 0.697969313477669 0.153677586422146 0.0985565673269487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.529942024373918 0.697933185055095 0.183149002213221 0.125104590204082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.651464728471224 0.83217922652549 0.498652503933937 0.409859926879248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.87540942510249 1.063754123881 1.31629732086118 1.02618180485072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.576579110985202 0.743241201072704 0.0854095632277335 0.0849622528646963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.576748168556364 0.746011523315084 0.0849108663726864 0.0842857099646681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.575968442586726 0.742783908352329 0.0880092142708191 0.0873677890931382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.570577297632999 0.738944814097771 0.0909899085268656 0.0901750119841538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.571115994607237 0.75254307383306 0.121212934944641 0.126251213236884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.579773066727392 0.765161305535444 0.186940468978873 0.191860131026031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.57495148823725 0.740971924589417 0.0880757551501969 0.0845352492913268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.571164844288166 0.743317486660191 0.0961360195856864 0.0937026070238787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.565081356452409 0.746835285751345 0.130964189388372 0.133183242196575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.670851192486501 0.881693857861094 0.520546166154907 0.488243067193403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.905737029621357 1.13205557779191 1.431947909757 1.18582601457831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524232551108386 0.73179612418887 0.0875934546984825 0.0773835892812987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.52580898306358 0.730997920910268 0.0894369985635083 0.078455460580976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528266661848819 0.729512774647989 0.0930131123636899 0.079736560902656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524842610752403 0.727923748648862 0.0941545327430678 0.0817330407387224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.52841297666718 0.747770272395428 0.127479163866343 0.109447754709254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.535484269575492 0.766877330359823 0.189895290342745 0.162143651523043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524138499420035 0.738656144962438 0.0890152207755208 0.0837085340423248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.520753711606927 0.740745052421597 0.0963912498392419 0.0917682943993352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.512365570543228 0.749868003901371 0.129341704434974 0.12515490386628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.614806755723611 0.917633226968628 0.497771053256094 0.443173315789279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.846871501145812 1.16203037422616 1.44696681794314 1.03578046940752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.570381923267711 0.758006900114313 0.247648155343458 0.482558998220926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.575303410413219 0.763582565407371 0.247504422711971 0.482702862124216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.56785638954715 0.757132772954541 0.248066282581695 0.483984092155866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.570291654928139 0.762234263172168 0.249280256976184 0.484115531317179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.577888048861725 0.755889184130472 0.280259277871237 0.50678421316769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.578205431322179 0.759882802945664 0.342198155898838 0.5605081790388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.567684895400124 0.749977263435709 0.247552614298577 0.484879954597923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564012046278648 0.745080563068299 0.251708843883478 0.492106799493938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.568749217656678 0.754537210216291 0.282869391810609 0.517247186396681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.647496406775959 0.848235702897673 0.635516200920942 0.830965543393599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.870447719512387 1.07463179171789 1.45597821758857 1.44809618882025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.471309026864811 0.923520321037531 0.240007925141005 0.196917027874519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.467895843286286 0.920403245740305 0.240922968677509 0.194184720407166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.469962435858486 0.921765059478746 0.242482479710719 0.193681940413862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.471558412712588 0.919061651702937 0.251097056761085 0.194448974758461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.461979264685321 0.928165962695679 0.26939468000939 0.229483065703604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.467495210641578 0.957484606950359 0.326859167062237 0.287749174610955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.477524029965118 0.931209931105134 0.241603721582754 0.200110328909686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.47256829426992 0.931798168292932 0.241808596102214 0.20512408526703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.456710656020912 0.935900025852942 0.257709178086596 0.229226698782921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.600015855754405 1.12538969758002 0.706582382197294 0.578405540956824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.872031637023257 1.35992854983135 1.85223673754731 1.21250760518884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.555634316035974 0.744316042168227 0.229136376154433 0.208144377337576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.555217823391214 0.747618791360101 0.229758498546963 0.208438019955851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.555487629823174 0.746860191510323 0.230589229680942 0.208765657254673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.555594573823646 0.74266813611392 0.237257158165853 0.213732858883851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564947081316112 0.75444281280949 0.262195507159464 0.245792439702656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.583864577810445 0.779046826476113 0.325005352036382 0.3051287088716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.555411399472076 0.742019608222537 0.232063897605165 0.20797502337407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.558584311255638 0.748743826185423 0.240957790163889 0.218849483494167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.566276280120623 0.757717743796819 0.270340752136324 0.242536594732827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.687183491021657 0.882646493515232 0.597262859093684 0.581174915692361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.888609605184084 1.09541373281197 1.35007995735986 1.21720485683999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.512395780905591 0.710345399424958 0.0939900595974197 0.111352094316924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.509818490986578 0.709345403104645 0.0946460737073415 0.111488822975619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.508639694208715 0.70764787156469 0.0958583973071212 0.113166647600643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.518066927997983 0.714121999236235 0.100530180213264 0.116909992043813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.517714523622801 0.707938170451824 0.130342505794864 0.144841023174178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.532698980403052 0.717396324460487 0.19217052087179 0.198163202125734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.511911034973803 0.715168822343348 0.100414325646306 0.115866737845127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.514032343255323 0.712963818007538 0.103748727903025 0.120485050995518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.520440294471126 0.715834841703233 0.127305863163325 0.144167417435871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.65837744455554 0.838647593095958 0.462329667746376 0.447574315821275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.869876139880029 1.05417919569154 1.19423531117518 1.07444648161319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.641049952040749 0.85672772743291 0.254631602667387 0.42269596334432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.643724122427372 0.8572928728516 0.252715201365658 0.418502336072578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.639903239915111 0.855435599031243 0.251103319820418 0.422627060150256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.633393669246023 0.84915687924663 0.25633256065831 0.429223696169322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.638992323502231 0.860543198982454 0.305082265980396 0.474058568576642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.677516932896608 0.887443326254057 0.433519037921695 0.567456592704615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.642453404246611 0.853197194986329 0.262545375892145 0.427349865358805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.64867169603013 0.856098048469477 0.270378916465896 0.437316468733471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.660436994691658 0.860389130814818 0.31427760556553 0.481963736243642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81695671551143 1.05040488066475 0.899128219546022 1.03523010958579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.10645251135227 1.35948407792217 2.26096126703803 2.16392001574564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.509303107082851 0.832940639290205 0.207817791770112 0.202440082554185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.507179578115704 0.831442741125067 0.207093643874475 0.202713951821033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.506667695577354 0.832408962655121 0.207637834433219 0.202676174816005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.503427859780916 0.835088607631659 0.209001740243237 0.205208886167673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.521049703277952 0.841678728180378 0.253393247039176 0.238138450501985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.548999647608875 0.865951573310804 0.32511776970872 0.302039742954778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.505745418178214 0.835222093586594 0.20579418552 0.205114600610928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.510165759093894 0.840869228638519 0.215055040379726 0.215541275088873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.523876645368912 0.856807094795092 0.251456616330093 0.244846320894332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.658377390814588 0.967664809453373 0.6476585320441 0.550441341392011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.887162297397954 1.18426370661165 1.63130595236002 1.15292088061594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835968792566273 1.08786004962933 0.135562969151805 0.143214984103378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.837300645146686 1.08776132547099 0.135085819256998 0.143761171506904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.836957305509712 1.08742073053416 0.134797705581106 0.1439768856745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.831870779574774 1.08459821839801 0.137069089374109 0.144376765818006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.828738482930533 1.08037027622785 0.151079854259013 0.163199601165871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.834101794196052 1.09007998235551 0.184216406070387 0.199615922336407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.837019111265492 1.08783948266025 0.138993863422826 0.145655763328201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.836173615916752 1.08799010327534 0.142553909203227 0.151938134608091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.832551784802545 1.08451972649598 0.160990158942432 0.168886945288914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.856287836740068 1.10613828662338 0.338283665317768 0.348511133667636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.946403987325332 1.19077981589277 0.697815454315637 0.68890458366044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.813805656970956 1.09120079397795 0.160600255941465 0.168475786071489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81780916173489 1.09273429947413 0.163316563068478 0.169238914291143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.819690014300196 1.09530666448412 0.165524080453415 0.169406601755993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.816733747810715 1.09153620574718 0.166572796107888 0.169003624142577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81137726690417 1.09394436457637 0.181717700700276 0.184574035736837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.809709312571583 1.10130353890065 0.214607999614365 0.217072334322285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.809807450765661 1.08540374010615 0.163776527004195 0.17083183313868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.805491187716604 1.08056133212379 0.165185266775222 0.171788362276711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.808448413252212 1.08266445382409 0.183204610839265 0.188723119170689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.833625171643216 1.12264371675857 0.353999449261202 0.35499646540599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.905261671171036 1.20685129642394 0.715655122169321 0.689760966994684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835485779547042 1.09178873838491 0.166885084264909 0.270341303665364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.842046287206447 1.0966184957223 0.166905870860316 0.270690373569819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.844297840209585 1.09870474401117 0.165556948963381 0.270243046173179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.842293575890536 1.09947334217776 0.171562946514445 0.271122826770341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.838302321088829 1.09767244835304 0.192107294077917 0.287848558586878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.824366539205415 1.0962959827257 0.225162102388268 0.317370003987398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835955073510051 1.09159483326346 0.167327413153982 0.27192538375227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.833714113086433 1.08956754047944 0.169542394238568 0.27619988611371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.823795223098065 1.09090924410362 0.191845492552128 0.287742660992026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.829603339615424 1.13136171649544 0.366871715901338 0.452554863778641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.903648648079019 1.20472177967198 0.706081942646676 0.781050482001579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.915567087335254 1.20316775619814 0.156708233750481 0.165030943673355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.910939088762211 1.20011508126836 0.15721373968943 0.164204632805763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.906140412010533 1.1969352173045 0.157359747266712 0.166144704242683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.909874951308011 1.19920860780506 0.158110006114147 0.169709158584437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.907950113903765 1.20329990356687 0.185666323216585 0.193152483252382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.895160985581871 1.20590207794708 0.238097071155804 0.238504627226288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.917585988809242 1.20620709039922 0.160842423141429 0.170893467595212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.915045226022541 1.20162670572255 0.164574675664321 0.180164026970285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.911217619012726 1.20793718938314 0.190640619344906 0.206877544726908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.927584743828941 1.2451243716817 0.461000889865464 0.451650207251343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.01373318768229 1.3299807289536 0.997105252238158 0.940867306340533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.821589551357779 1.13807565181065 0.449289476974256 0.494423045882763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.819896161199992 1.13806577499233 0.447091656155562 0.493604740826015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820749591240227 1.13932347479999 0.444774084866471 0.494378749434557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818850923641332 1.13736479994737 0.446053689376575 0.494105794011017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818764300301802 1.13421302732645 0.465442855578746 0.505379517101725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.822097182073925 1.1368481075875 0.497600350552539 0.531181310434795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.821734163594816 1.13615244557311 0.450074165523756 0.493029816534441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818688435765958 1.1351227374926 0.453694609473185 0.497112888857782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818644391529153 1.13484664777716 0.466907773246596 0.513620136716009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.846726689155357 1.14755733259582 0.626501819622446 0.667872506206423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.936323612420846 1.21642603549489 0.964739421904021 0.992655627298792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.794062468805675 1.1906364460198 0.254207578010488 0.235991849084504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.794842636344593 1.19103846260395 0.253243547409937 0.237657088821348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.794652959434517 1.19082318493261 0.254282183885351 0.237919059553639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797390503835997 1.19485832021114 0.257511961625601 0.239454507868459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.802378731291635 1.20433656378641 0.279613586762848 0.260346213683429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.802214556486493 1.21530293463539 0.321714586174301 0.304129527436771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797022076560085 1.19444331479395 0.257701966956446 0.236312023032397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.794713258363845 1.18998437287722 0.265085545357855 0.242430373345406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.795045048434936 1.19728792665362 0.292981222154214 0.26292550802228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.829413782307715 1.25944736853679 0.532602152295717 0.482681044663576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.933620966676422 1.36402592893432 1.02410708870699 0.908542266463042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.840816409990861 1.25028209252328 0.420445453802368 0.518260411514575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.840662989886623 1.24831184511049 0.422022801180401 0.517330517419516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.842764637243455 1.25044600494291 0.420269914050513 0.517073632117715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.844290826205272 1.25037822364573 0.421277631046096 0.517898710987057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835085254830332 1.25776979270254 0.447851470984787 0.530605758815751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.824737896999552 1.26732841250591 0.493671495080686 0.576308937776129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.844630209146196 1.2577615732506 0.419428352342906 0.518204131925995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.84213012970467 1.25704704438448 0.422002834442806 0.522002228833478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.839177897811713 1.26417331348703 0.438799478500759 0.545747290505852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.822939391713865 1.32526680426979 0.691210847047467 0.775237800394587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.936191136643859 1.47312374152634 1.24566894207281 1.23125364307475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.819503669957775 1.07931345107333 0.104699796925135 0.15554690077074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818415874393571 1.08021331630459 0.105580013570624 0.1559646387911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817464193405536 1.07658776825834 0.10571195459452 0.157204688058825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.815714008217084 1.07852197074321 0.108317072257697 0.158752417101201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.811617934784346 1.08098578209464 0.119909010373604 0.173993677482667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.803898042893691 1.08345226029398 0.150847454783728 0.20118064592853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.815085209301649 1.07451058426819 0.106866144652105 0.156929325658383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817625357800335 1.07576718343348 0.112313071137302 0.161234986174973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.814727938687892 1.07449242722632 0.132144716311447 0.176956385138957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.802429474464426 1.09211638392472 0.284462862551989 0.333425093179223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.878029263627295 1.18845031585757 0.620881435558422 0.644805502621695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.802513229174232 1.10081093091569 0.205478739166743 0.191854983009754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.801980462329713 1.09945131633717 0.206690253745844 0.192876821571611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.802025625474059 1.09959559556767 0.205681430473598 0.193700862531165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.804341885455982 1.10244640603766 0.205935711054386 0.195638218567269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.808653412098484 1.1049095295395 0.219650186149876 0.20591290728626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.813091757564753 1.10933755725523 0.250181209302458 0.237462005293284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.80045088323036 1.09791810849435 0.204844900210844 0.194685271300557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.803684174444472 1.10102713646351 0.21059322559067 0.200787111686761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.808213752350955 1.10127503927235 0.228912823327999 0.212849838781995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.84256110887701 1.12220902252312 0.404338099108547 0.377073290409594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.935181908774608 1.19087519021508 0.763655328872997 0.71195228758163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797719903963622 1.63344084554711 0.444859978001235 0.480215078844872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.801663520904362 1.63606046730599 0.44616426741046 0.480448205239785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.80359479460041 1.63523093215497 0.449127022212733 0.478569947278094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.808180349491481 1.63874771543339 0.459128761694563 0.474627213383534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81171578859629 1.64722756769358 0.49175993039976 0.492439426913031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.792903856383281 1.6639238416334 0.568142464927051 0.555556455810081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.803445514964538 1.63602287054845 0.452818685827222 0.480946497419352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.804906013507088 1.63971308682169 0.46559189037576 0.478525486545345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.788536521475629 1.64262633849289 0.503977095241169 0.492664516447014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.839709134000401 1.70954795414075 0.994996266610263 0.854306634421535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.04387642428916 1.91296368215716 2.15453293100179 1.6818484310229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64805135698626 2.26322526953887 0.687867038916445 0.602535872247149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65041144439147 2.26495606106954 0.688569637194697 0.60407076096094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65217435788763 2.26846928979161 0.690032770641464 0.602208488774276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65447302948157 2.27624137404237 0.692191435106537 0.604086903171433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67099792124762 2.28905365032872 0.738459025870755 0.609476480946347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67738023708471 2.29691589106753 0.784423231355077 0.649115985345797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64559174040131 2.26108127528049 0.690830170185877 0.607643283844171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64397517857336 2.26221482208726 0.693807592108721 0.615128095791978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64699888799567 2.27039771583429 0.722846893933257 0.634725721008139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65875125993573 2.29388637295862 0.886750594097491 0.824345703387494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66790335811201 2.32326818321536 1.25170310846758 1.18263645851334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00425815786939 2.61880257495842 0.916316424674146 0.981845092746748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00417735913945 2.61356499772326 0.916212166317122 0.991108640197051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00630055414128 2.61714282258517 0.920048382641737 0.992970297175916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00863333803354 2.61914193062099 0.929684894223173 0.991548912940845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01023432165215 2.61389238977114 0.969955351535804 1.03090400126878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0334255170387 2.61851860798056 1.02661895422515 1.0723409128345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99938645019678 2.62021803610625 0.910228073195989 0.990620592117262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00133188606156 2.61346227442968 0.933180274926304 0.981624557539322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99231539632747 2.60450600450321 0.9718285978704 1.01875525409324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01772837293285 2.64491320830176 1.21121144222503 1.25513987914703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.05409606338809 2.68019254944956 1.81618896077706 1.79753647654128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.04584286561817 3.98652067370264 0.97956220796031 0.808561068461239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03100221393278 3.97160756134309 0.9751020614912 0.815242179419159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02287914370806 3.96291875235433 0.992496554428194 0.831415575093463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.06169397235974 4.00817370460152 0.979076737550568 0.879741177217617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.97954564045538 3.898644083815 1.1471666565306 1.07944308781128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0021084690416 3.94491524673635 1.27715432351003 1.25869587121236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0922568016275 4.07547469898354 0.944238072765427 0.733354250667841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.13302762626054 4.1351056090959 0.980236044358193 0.774488964387444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.05856393487112 4.1030921343768 1.02158449633144 0.831519955539336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28513045592078 4.19722851911158 1.70467980664403 1.89496238532696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34682762573634 4.20077265529757 3.74491103791635 3.892648548814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73348358843298 2.14421254678151 0.468777172585028 0.238519810525104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72703199426852 2.13994862547293 0.473692977433623 0.236209277575856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72839044081772 2.14133694952244 0.473900697114671 0.23670419959546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.750010544501 2.16236282490925 0.482099771945874 0.243809771706948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77629811123455 2.1789254921651 0.488480022472734 0.264630489312615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76218180240782 2.15148465654866 0.542336102995039 0.305836245017978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78221786789256 2.20060361618911 0.470351068250305 0.252119789421828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80129260113411 2.24552754386638 0.489235793661404 0.263009796321654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80165173009977 2.23297635712633 0.52190799486589 0.282429599622617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7117244086745 2.14072234968697 0.658726275455816 0.491340967541577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7784959926888 2.21422949611133 1.01685942919374 0.818007824245713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7575192066002 2.33039838795616 0.77546186169735 0.74869558535393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75881704281066 2.33060067591021 0.77655948718568 0.746173163048632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75733942886177 2.3289564682576 0.776878441665616 0.746478310056884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75797833153788 2.32822744015855 0.779485733259851 0.749218219240216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77875852687016 2.34633281166302 0.805189815066175 0.76869109209101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76987805719495 2.34089060854603 0.830049479908014 0.794336495130835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7550689106756 2.32720290760324 0.779040103095521 0.746940241658036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75870861417755 2.33009867279457 0.773043184230138 0.749188604770373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74991785437171 2.32610596152915 0.784101223228812 0.765006249173698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72166141872558 2.30922457644601 0.971335234883851 0.93627352675736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76280939040416 2.33665967311407 1.28265776738296 1.28043738672744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47941861185114 2.55143642590864 1.30816359115698 1.14972058653468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48294883018921 2.55195625701218 1.31472845791477 1.14654810627885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48859399564211 2.55598094201916 1.31975106759866 1.14104216569093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49444840203915 2.56131728527972 1.32734169762593 1.13945132423012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.487412204328 2.55100533970034 1.34453465754057 1.14878588162427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48326786238455 2.55299481522361 1.38680403021771 1.18368447490697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48310794547941 2.55408318230262 1.30988037950397 1.15231690321961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48411417169338 2.55812053778756 1.30505768476983 1.16097662523094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49961331543945 2.56672114770808 1.31903102992642 1.17236848884183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49957645450162 2.58476286487092 1.51780439584109 1.30487852128133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51555652092763 2.63262746899354 1.80977561726811 1.61622468054171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64899926700263 2.23455854595897 0.570618434105892 0.587423276975296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64179858654273 2.22862214945965 0.569550793252586 0.589508905348508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63923331311496 2.22782195061009 0.571516696385476 0.591307814920593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63311715630067 2.22966760497406 0.576428162593691 0.604164366227666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61427868081408 2.20016226712888 0.582143856423062 0.638430423096923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60844931099432 2.2086267490286 0.608915791354685 0.656225062790498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63854355242975 2.23034530735969 0.572460030595011 0.589660367134569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63303011771594 2.22418664320176 0.594673399962882 0.600966067873003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6381991309372 2.23289453398012 0.61181535701035 0.60618650559537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62687799875563 2.2382730555159 0.786066633874501 0.752509059748849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64342697196415 2.26534792935797 1.1306387362835 1.08180522922578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64780778831347 2.30788455266067 0.627988908740612 0.662607674887665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64624099169553 2.30771772313428 0.624687867242925 0.660227964219622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64217996732431 2.30551902480905 0.628146356412609 0.653193017960622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.644128725679 2.30933874503028 0.622047795598664 0.65667712117228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64601703971547 2.30800547958376 0.645080270063355 0.658439331601396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64998035992889 2.31258030105799 0.664225843173955 0.689254835960076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64493936245958 2.3104359041206 0.621893371679784 0.663787305941538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64129668478415 2.31760614405207 0.628925645262184 0.661555620633966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62795641068101 2.31868640085801 0.637341926970413 0.675094336258394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60723622771171 2.30699914424568 0.819028020052749 0.841206712388599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61709967701395 2.31026250396892 1.14329799390402 1.16224293003803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70425625225487 2.20945150902878 0.648624869060874 0.608383677183946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70627187941018 2.20929897881598 0.649887510066555 0.611278531459932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70825980419508 2.21226663070802 0.647969471919612 0.610964002056478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70961157297045 2.21227510012957 0.651594625101242 0.612470185763554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69396381876141 2.20050339508617 0.662412697529184 0.633794286591106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69330579009701 2.20460072613431 0.703569819304112 0.672760445485373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70495617618348 2.2111104300215 0.645127257490798 0.61139785379224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70475501917948 2.20983940858929 0.653578486979415 0.609388568938394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70892409911279 2.22075945335487 0.675231479160748 0.638731455475676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67326857024964 2.20134305783755 0.820273462651352 0.795645768838556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6890814708748 2.22943425959193 1.13278899466548 1.15116187433465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02424873310059 2.64082602979155 0.429616017935403 0.569918277353287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.031709878468 2.64317138043053 0.428949892474117 0.573601413685456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01306115722199 2.63037736685225 0.427107259711403 0.583173456572829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98167473629548 2.59988962404075 0.41918891816374 0.596470949797926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0189824062886 2.62070360247525 0.467418743688386 0.625143926211791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00122130647893 2.62648871110145 0.563258708920544 0.672638272748897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03391594635938 2.6708816368203 0.446688315347605 0.568966318504376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98721651345202 2.64997836205992 0.431242832514018 0.605076763679939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03407269955426 2.72698395071807 0.487534433706434 0.633398423312676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.05764875021563 2.81615572662418 0.872229156048473 1.04502577846037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.19254750992782 2.81234098488254 1.55442014111617 1.66436019107877 NURBSSource NURBSSource 18 180 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28114510397663 4.26469153253566 6.15317836716718 4.91515997284378 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28439969460456 4.26000624108132 6.06765316515735 5.03179259363005 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29936060098406 4.25831886339891 6.09862180880359 5.06615309898153 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30527047943321 4.24511038853771 6.29469455368736 5.05750331999134 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.23026922047314 4.21909429818687 6.45075307447532 5.57242359016742 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.26057485707057 4.35219220046688 7.435226634966 6.52721306649492 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.24981416438905 4.21798809795522 6.0933704891178 4.98580802559026 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21147472964904 4.1638501832289 6.09615274234722 5.33628890683661 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18284274330159 4.16728550218131 6.4920305706045 5.61842546761415 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.60723211167793 4.53833106862788 12.8570509555545 9.08294229559911 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.58878958015185 5.33388349974725 30.077367740666 17.036532894016 NURBSSource NURBSSource 18 181 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71652468820622 2.60292325023049 0.700028441466933 0.643586941329858 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.719958660766 2.60921309505808 0.702207111960904 0.647227795036621 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71906308507276 2.62181899544122 0.693735042605644 0.645295446717377 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71752785962745 2.61642717992223 0.727292351525951 0.677777556005272 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70140234007228 2.56388073270534 0.970996508600725 0.881207992847571 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73134778774791 2.61000775889708 1.46357531436026 1.30593285625454 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69858101270363 2.58036988460601 0.70246966142433 0.683143945889926 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64630934313055 2.57753464740159 0.771164469592336 0.735845852847443 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63958162282928 2.64884700598832 0.985441184421162 0.979676110743524 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83455667996462 2.80777127793199 4.04491388567088 3.42460295393822 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.49444263636855 3.84734575704024 10.5566906390961 8.89135323724303 NURBSSource NURBSSource 18 182 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60066767658743 2.39952187343375 0.467821007017222 0.506558175438998 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6086315609911 2.39036576701173 0.494451860984726 0.492821617386233 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62065284021457 2.40672791380072 0.507821119080921 0.500382690198417 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60430034467314 2.38668754934351 0.5550067147404 0.511148960445512 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67119178336184 2.53446651314874 0.915526618612318 0.901211272114176 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64677277106712 2.54010581074902 1.6021665498933 1.6404063108982 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61267438527621 2.37473465745915 0.52440355730677 0.524572473874307 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6282573975089 2.40823250488562 0.587569628410907 0.620072083261741 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65573932865811 2.49153458027731 0.903141160967472 0.986734241308414 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.04199020216785 3.1115461998784 4.79722124896545 4.74124390263413 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.68098882869924 4.03486266027069 13.3689346264646 12.597749796502 NURBSSource NURBSSource 18 183 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26278828430171 2.37326215696172 0.84988816028717 0.967481096386676 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27176587180847 2.3796659243414 0.855137997842832 0.967847769745199 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28077342543565 2.37992131204193 0.857412640043325 0.975195357700177 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29564538912136 2.3793519792461 0.900990488277712 0.981193664677593 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26463931492789 2.39640703164177 1.12031456753343 1.11642591335296 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32812931918657 2.4744921252266 1.53205361962465 1.4074645112376 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28425784658925 2.40334264761097 0.895875901348144 1.02283886135238 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.2528205738129 2.42843591771853 0.921068480895616 1.08289886181588 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28278396511644 2.482604097668 1.15228487847241 1.26344900520595 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47270074852234 2.75680320730232 3.46883164376915 3.12174454666378 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15235036184839 3.32646648096365 10.6468727480872 6.94508784826488 NURBSSource NURBSSource 18 184 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33446162209993 2.7736295164343 1.18991059751713 1.11965793797243 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33331156840295 2.8082908740502 1.16916653893965 1.14755758113113 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3311177119087 2.81630170981179 1.18441233548656 1.16752467655172 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35781979857843 2.83142521312306 1.25349573034087 1.19604353107333 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37780795954407 2.91533636042359 1.59111168234509 1.45610684225354 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41017432742259 2.99258236201318 2.17259083987735 1.76085421619687 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33930254529148 2.81006685563092 1.1897354742835 1.14259847720171 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32544369815079 2.78493703505902 1.22031415429317 1.21160238244384 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35918118969391 2.8400149059036 1.5909649132971 1.4254417747399 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79058130566838 3.22895395427338 5.62267413226342 4.07635576869302 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.60835407085709 3.9158232477656 16.1174126849483 9.86882044908619 NURBSSource NURBSSource 18 185 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51769636744112 2.66472640765823 0.953307330109986 0.845133643502104 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51117134444121 2.64603915839137 0.960205588369128 0.849680660452531 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51858101668917 2.64795367295153 0.968627085504198 0.850911412780334 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5389130940331 2.64651696443289 1.00382144872696 0.8720900112572 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54651511389035 2.71840525138216 1.30743122087018 1.2174766634985 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57715376720423 2.79244286215895 1.95915371760146 1.79368139147913 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5565955715899 2.68678843847339 1.04693315180768 0.825545278158954 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55202228049814 2.67290765342838 1.09752404880641 0.902564791555274 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57137786164825 2.72003197878098 1.58004900767981 1.23445187492961 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.05595356474007 3.22543156952017 6.44379146476632 4.77422970919676 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.91902096059872 4.25160718541229 19.3757279478205 13.0598754679141 NURBSSource NURBSSource 18 186 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42667988661402 3.47567130232898 0.988724931122855 1.08428813449111 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45992938988856 3.5103957600782 1.00909106345903 1.06577768109821 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45268966657396 3.49617884434786 1.02573004976488 1.0611508404304 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.46131946508515 3.50277312805573 1.07425354342807 1.10433576196565 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44938420280255 3.59481886462023 1.75641946605149 1.65956662693554 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44372203629549 3.73133951325829 3.16151279225809 2.86542002806921 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45127107017863 3.4486845592355 1.07166251694603 1.10593373984674 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.452859737212 3.484840634467 1.27140588966127 1.25315203625204 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44341209393283 3.57278393049358 1.85537140655829 1.86183140305378 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.87329135680054 4.32504775769101 10.2332653743614 8.62840793242109 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.0081272170996 5.71895407850922 31.5288702030742 22.461579144478 NURBSSource NURBSSource 18 187 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65838840139008 2.32562536978983 0.439323526214693 0.347620072444221 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64600160899706 2.30395768357747 0.434948755690014 0.358949852932997 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63822725875934 2.30612238088333 0.443443768628742 0.353552657387365 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65628423126223 2.32838813682628 0.446541263335309 0.360981454234685 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59766081147404 2.30891393555845 0.639269362688851 0.621884978082842 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59483205879541 2.31499897667561 1.07732885453196 1.00481946869864 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67699879734739 2.31817730956796 0.465701383258762 0.390235591225508 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6739979968343 2.33272257581201 0.523544979149155 0.484339539652891 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66825792096245 2.3574621948269 0.756693129386572 0.762703808510644 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79931925618553 2.79424221872196 3.60436747152738 3.55862366021767 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42590571188049 3.59352770876568 10.7481037016356 9.16341623823939 NURBSSource NURBSSource 18 188 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73054379950598 2.41683756823946 1.37036607940501 1.1252939925339 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72783376781572 2.40804853119198 1.3666909010875 1.12501606472076 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73662575713017 2.40115726258943 1.38495314338052 1.12844131154721 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73430551032773 2.40834834276681 1.39348122783598 1.14291779518674 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68485018213136 2.39725961878729 1.48839343665897 1.28096948347486 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71842827235541 2.44203240567394 1.69868614524571 1.62765315067195 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75724715303687 2.43495405941445 1.34545758814986 1.13074756817249 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7487040246576 2.45326660024929 1.15237585557544 1.19700057126352 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67994643292863 2.47637981425604 1.23313924144523 1.31216746147463 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78941415470351 2.66606349020987 2.8863384885803 2.77734070427684 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.20733150179373 3.18947754537152 7.37236843495771 6.25388309991906 NURBSSource NURBSSource 18 189 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.10208883163488 3.21709033123541 0.961606400476048 0.844997244166254 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.13886134051413 3.24509726508754 0.97382658035849 0.854677917381512 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15779125567077 3.26859098622891 1.02623460820981 0.887768471558467 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.14010916907458 3.25582129102788 1.08971769101353 0.943641400465881 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.09357626412392 3.32245390790742 1.85100698458421 1.44640199074534 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16890248813138 3.54409992158706 3.13499144293679 2.49139294111298 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16332773467547 3.25398130250555 1.02384317459409 0.89410069571887 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.11798329134413 3.27483013022576 1.17743407576119 1.0606612233533 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15244445724557 3.3899430339105 1.74200130975169 1.62631712045943 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.57038319365835 4.28130737281363 9.25627613633007 8.12901147580386 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.65138054989848 5.42767094159093 29.586296851679 20.9389943765776 NURBSSource NURBSSource 19 190 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64073325171882 4.86884378767617 7.58805908141795 5.64664138125527 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.65383174924334 4.87441977018038 7.62943481169958 5.68763636519334 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.63392675799624 4.86251461414238 7.78537733958633 5.63771046464735 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.61170407071202 4.83862585837576 7.87952108130603 5.68251242153324 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.5501977590199 4.90412352898518 8.29632584167699 5.84589726170584 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.58442836503244 4.9993850006429 9.45208811953445 6.63823786112893 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64722441279885 4.89579771151674 7.66347664535903 5.65647375698781 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.65115909658692 4.89721091775826 7.95149163310306 5.68253015322083 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62965841799777 4.94947382402738 8.65463721439508 6.03339715225802 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.09993064406704 5.45874947067937 16.1878159119112 10.4199541070257 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.68216705906236 6.27819069232861 30.8440310920258 22.557733343933 NURBSSource NURBSSource 19 191 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73288648936406 2.65710463294838 0.721509232839288 0.759293628306245 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7304332487828 2.64565290043809 0.742918852986482 0.772011250619012 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71866175429175 2.61443143130229 0.739982526886979 0.815619046771601 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7062895897782 2.61877345393603 0.734044400911813 0.812009637663685 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70901272278923 2.68870575640517 0.922706246492813 1.00310137556195 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65564529524449 2.66609059385433 1.32809964922356 1.50589065717145 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70199352483686 2.64233723994426 0.722920180042608 0.836392769379293 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68652301744798 2.65228828500604 0.794325618355584 0.878263065082093 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70518482588256 2.71926827050221 1.01612305470085 1.10087241425359 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9222077078802 3.00526370253132 3.9191607923776 3.61774326612301 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.58633809119534 3.58391664908239 11.2557091080728 8.86231483973215 NURBSSource NURBSSource 19 192 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84454664363587 2.58912613545041 0.590829037395675 0.490762421038507 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83267267187508 2.57845321352349 0.615393421365948 0.498685859116597 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80614329756746 2.56777959724442 0.625358313711458 0.503138142326811 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82797246202565 2.6026043713308 0.650298032674782 0.558070048070643 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81296737234994 2.68606989458662 0.984361691799269 0.855360802152093 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82720260794587 2.76948842956934 1.65799883308924 1.6188069726079 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.85729217949101 2.62286834143047 0.636724840914146 0.531694309111657 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82195538383367 2.61162288960323 0.730161942868482 0.602960314176442 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84094549408433 2.67541225827119 1.06008665240086 0.943230353518752 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03012487388528 3.15905998740059 4.53502284686574 4.54283315776518 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.75224075976036 4.1572561847562 14.2278159776718 12.2738805303741 NURBSSource NURBSSource 19 193 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32274794074914 2.6183849508899 1.06212172219978 1.17281623182784 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33692442886669 2.62660956532343 1.07911254545514 1.16796887453803 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32214148712115 2.62238150993035 1.053366461043 1.16181021257105 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29379821842609 2.60445948538961 1.03001456042224 1.17808925937329 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29060335689911 2.58322717818037 1.29358037434768 1.27547963021677 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33610970376254 2.63681887477577 1.68063676356759 1.5862882591076 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29976680214994 2.64281487901427 1.02998718355009 1.18194775210531 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26738971448342 2.60329221391484 1.09462493375725 1.16634878873133 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3040329179065 2.59217256600838 1.3999895204158 1.32433870182687 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68511604803981 2.90769349648628 4.08161857172025 3.29967203958943 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27122224958339 3.37657548765859 10.5798477410416 7.14573533093971 NURBSSource NURBSSource 19 194 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39048042160231 3.06012863179845 1.37824445745597 1.45507420542607 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40187993363323 3.0589395916915 1.39051500481033 1.45152602953075 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41226613500586 3.05398739829265 1.41820345973023 1.45142685679478 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43031780838351 3.07458424208437 1.48473496716594 1.48804500714776 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.44640771486023 3.04999736341474 1.75060306083677 1.66731366880249 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48976415893895 3.16508132293511 2.31716678254168 2.24605085351744 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37103156077224 3.06869528571529 1.43908826575588 1.47571561109286 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36484009625801 3.05350673150333 1.50664347302801 1.44962795315194 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.44706034081318 3.04137961757721 1.87549288443469 1.61654636631916 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83255825563209 3.26837056657271 5.73478273894484 4.29409462489655 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59001444280219 3.95575179403382 14.8398658969583 9.91791103001387 NURBSSource NURBSSource 19 195 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7000131417151 2.95752194192573 1.2398750281452 0.96899826332094 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70671575856638 2.97701367316007 1.25752519738598 0.923716653665021 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70919801271036 2.98054294479789 1.27073449742531 0.946956921961032 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70638178481299 2.9787271818152 1.30342984557726 0.96707787806464 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69719750536104 2.96610131814807 1.59125809541359 1.22406388172431 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68764130151609 2.99449653281474 2.19981591079761 1.79069648409195 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70014660473778 2.95401820397428 1.24535056353426 1.00418832769869 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6964567505087 2.93836261730761 1.33564311126544 1.07184704938806 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65342716835916 2.95979187197428 1.57826697491459 1.28953508636055 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98773705852986 3.28322461725744 5.3709054821338 4.16022359220973 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.67604952326794 3.9929584016196 14.6169076849479 10.043240126933 NURBSSource NURBSSource 19 196 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.76224125149051 3.90749679391212 1.37445240568579 1.21905306371422 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.78767950248921 3.93987487021734 1.36876278147039 1.20898702002322 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.79258618221077 3.94825398698325 1.39245024442653 1.16697165429645 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.77621558540515 3.90767792941967 1.49979402127453 1.23717586093448 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69449160336904 3.97740210157115 2.30858016919982 1.92453626338102 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.74719480975762 4.17699460393099 3.83750833963602 3.35329353356357 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.79537540654447 3.920613815506 1.45537573937452 1.29411486041868 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.80315790277926 3.92932970707227 1.64779708698602 1.45085756409794 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.71763604326084 3.98649852510214 2.29375670606947 2.10401939673247 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.05621878478307 4.84400836903977 11.1203400276759 9.82710708521659 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.12988448233838 6.37587622314837 32.9327577591899 26.2035185088885 NURBSSource NURBSSource 19 197 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77961820907342 2.51027356011283 0.42563243718326 0.425968331353889 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80787604992526 2.52083643747422 0.426442954268098 0.400342109878959 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8195715147568 2.53267807515537 0.432280417859401 0.414139947426778 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79144237127895 2.51347090124233 0.468123614472414 0.431114289027942 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72535544268981 2.53886381010561 0.810080088205497 0.677794826961115 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72010538841626 2.64655469874673 1.27286635530842 1.29554319725364 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8062798840348 2.51175646817734 0.478151898554459 0.446145373836957 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81099578007577 2.536942136347 0.568595477425696 0.526421204019438 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72460872939035 2.58460224257805 0.857567909501771 0.86996643063743 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92032477072915 3.03631630851309 4.07013412992965 4.18141844169024 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.60043173745967 3.80040917738368 12.952861933754 10.8405955694527 NURBSSource NURBSSource 19 198 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60670924224882 2.37691802576105 1.24229427918466 1.23069918215486 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61754754444326 2.40041437594343 1.23430586992662 1.2207502208701 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60865332194014 2.4011213374819 1.24219241344629 1.24414973715558 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62609269691961 2.4365297459068 1.23261683848938 1.26280416450603 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61729883578714 2.50793987624327 1.36380816082687 1.47457504833809 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61204473081492 2.5476727380568 1.74156598751426 1.90827459893543 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58112153375252 2.3858660548792 1.22594412704623 1.25049113134017 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56433832694199 2.3902243231719 1.25901900487927 1.27971659215671 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51659786251351 2.40187089395866 1.33568532546726 1.4475861122085 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84451217791557 2.75061502871891 3.67679603656043 3.25597469753799 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36099057311324 3.36837942184822 8.90893526697829 7.47365674181239 NURBSSource NURBSSource 19 199 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.23907932781724 3.44851080195445 1.03854015685653 0.914760806702617 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.23173925689093 3.44001620232145 1.06394369855852 0.893243511078494 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.23143183007163 3.45763836008542 1.05236302884846 0.912288129749463 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21836903673141 3.47763281101709 1.06366146973071 0.954915514061998 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15616420726462 3.56419298244567 1.58893901113215 1.48496407339627 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.19541781252112 3.73853675704393 2.71540304389419 2.54687037078648 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2738684558736 3.49376258953208 1.08067686248493 0.978928790885558 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.25651700022908 3.50852051412269 1.22066586227035 1.12719730267393 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27771271228921 3.55714365869435 1.79790741735418 1.68882532502984 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64011829197531 4.39708221118392 9.06078355501538 8.23311389222087 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.62692885080263 5.5965656119291 28.2328684964687 20.7313938377092 NURBSSource NURBSSource 20 200 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.52285932150571 4.85975783692051 5.89194707357729 4.69895882350229 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.52239365883436 4.84877135708742 5.90170633190425 4.72200703426248 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.52680690542646 4.83521361021676 5.99942936173003 4.73025211572665 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.51938745758727 4.80575932509854 5.96003423102435 4.82022073903796 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.47814940207872 4.88165650738299 6.78867082236618 5.3132169039072 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.61744549557384 5.08785985369 8.4215672704612 6.27826783245719 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.49968856898478 4.87737540854778 5.74205522000281 4.71827909636566 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.46627935312296 4.8689581734991 5.83423406142542 4.83188006638901 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41538613873666 4.80683920374765 6.13384174252422 5.27637312652784 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.0126656504538 5.37690308615943 14.0496903851259 10.811522131209 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.90278302618793 6.2768331538807 31.5056029101941 22.6325921914679 NURBSSource NURBSSource 20 201 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63534441458483 2.60335135799614 0.749497184232546 0.722417170473213 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63938096476003 2.62100971237636 0.772413020218236 0.718479311977763 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65494321633354 2.65556585733435 0.738853678749115 0.756129154526345 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64447808760691 2.64144776909905 0.764661886588011 0.763621975298519 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62114290299858 2.59430592014373 0.983603712593032 1.00755184555559 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68525232785554 2.66023310821195 1.50777568348686 1.51214258739507 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61564501730298 2.64304965860045 0.761434866746709 0.756182691717851 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61424733634042 2.67405820968241 0.840577609307444 0.810134420452631 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64319022500637 2.75640565229793 1.12575586427167 1.03305780544439 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84183796207068 2.94374658548045 3.76682884833015 3.31145777855777 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.47119285712162 3.62225914271455 10.6915343440628 8.77152884536144 NURBSSource NURBSSource 20 202 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8369189064882 2.59997486936922 0.573151734365793 0.474394991684892 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84786906362634 2.60394047072057 0.608089350013372 0.487753225038953 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83392893468685 2.59409597409895 0.620470751511967 0.488267480111407 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8567711897454 2.61038426970706 0.68712977182965 0.48838600628027 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83964051267012 2.67491536768004 0.9987812560601 0.904463513343108 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.86304040380575 2.85718192841264 1.81716652248991 1.7796124856567 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83872390786362 2.58566826463949 0.632509614534725 0.518513664889445 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78978729042318 2.55308758389625 0.798265316257257 0.544022338343085 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73139401587663 2.57750303127958 1.12089073481301 0.973582835895424 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.08511418865356 3.33338196656207 5.68394624194836 5.36499599899311 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.90819119553099 4.26723369266084 17.1639868179002 13.1906738144536 NURBSSource NURBSSource 20 203 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26539428217344 2.60551241582864 0.964568145792792 1.22837037467651 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26777682111358 2.62386876470496 0.957508561454311 1.23178932205017 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26172394562165 2.61753408501719 0.958320514945798 1.16352435195075 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24677670612297 2.55245346237768 1.00541109487833 1.12283510828003 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27555995968817 2.57955147719404 1.26590760035195 1.32952847027776 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.31154231597492 2.61931869788525 1.73959910688816 1.68871217874885 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27222472585041 2.62469645370041 0.987603832451464 1.26342701721958 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.30840963641198 2.63987108922698 1.0771549638795 1.32639937138057 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33801075178831 2.65071510122048 1.38481940002646 1.41501012198643 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66194019514762 2.97142572504808 4.20300555683628 3.58254520435424 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35899962644797 3.66731125360554 11.7681243267786 8.73070784917403 NURBSSource NURBSSource 20 204 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42809934141479 3.04568596844546 1.43530822833451 1.33730988294586 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42519372167984 3.03748862586571 1.44392685611573 1.32760815157907 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43350161698351 3.03867570492257 1.47775639489246 1.30799280119973 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.44370777098283 3.05372387135808 1.50729776296488 1.28092071305965 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41292496767916 3.06115382662253 1.78535945697123 1.50645633429304 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.45323296592699 3.10022383215719 2.58670317380039 1.97507394218783 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42920531612595 3.05367564026919 1.49112414283873 1.34477331949696 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41484548779679 3.05652317776919 1.56154502662784 1.40075999755914 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36594587194604 3.09061168064834 1.82686300593534 1.71402996936704 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89149455508722 3.43581536487496 5.99854720902275 4.73640627456863 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69300485887095 4.22119721316734 17.130159433581 11.0080341081504 NURBSSource NURBSSource 20 205 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66152264113202 2.93309793660967 1.03861657727726 0.895614231718012 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65286610239219 2.93206199919471 1.03062948834401 0.904628171446256 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66118138384225 2.95927228626954 1.05921723734804 0.89524655388238 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64448133232518 2.95152147293549 1.06027338656851 0.923046277733687 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60642607732862 2.91093250533157 1.3572815752878 1.26713504973916 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62854027147064 2.91103824543693 1.95868540955461 1.91623583518565 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67206291003391 2.9250008919831 1.11415244890691 0.891265351778665 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64833240876091 2.91610488763008 1.21270593690556 0.936034307480072 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62943885378639 2.91173895973893 1.44083992157813 1.18461819077947 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.97313004445504 3.34358088023059 5.33358019506694 4.62689310679821 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.76800833241291 4.17221144265829 15.1339473053425 11.0254896780198 NURBSSource NURBSSource 20 206 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.72817841711356 3.94774754945845 1.2065350883987 1.13971706065139 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.71350695852437 3.93646821702602 1.19290916359238 1.17420015726554 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69830889235563 3.9347482358766 1.20146632770548 1.23433566003293 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.68211044815344 3.95116105749822 1.21837280775231 1.28745385008595 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64950918228456 4.00615418150011 1.98091685186534 1.87756057890415 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.57070309089243 4.1415019891157 3.59085682118065 3.40295878790774 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.72818203923008 3.9622286149588 1.31629370158842 1.20067910509314 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.74536524396379 4.01225870132857 1.57485112031628 1.4227183655568 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.72715331120381 4.08425547434997 2.43972125904903 2.11247679100866 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.14226620926836 4.8889069866128 12.6370936320521 10.086933639223 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.26486119697137 6.32383538891709 37.4109535491737 26.9235722013401 NURBSSource NURBSSource 20 207 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87286280762012 2.64122182241741 0.534325963275373 0.492085086512705 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89104246987041 2.66227979588341 0.536658541542168 0.48575666373962 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87377913747889 2.64344136304758 0.539308746388541 0.47916764981443 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88473343606246 2.64636843601608 0.560977147270411 0.481132413267713 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84155799843098 2.69467216844844 0.808749494335573 0.789689378905219 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81663127021865 2.78984621780294 1.44869908340612 1.47078409233365 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.86386229304176 2.65462872291492 0.594211543439791 0.527696547794303 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84648786709035 2.63988676042126 0.687089075100241 0.575600165331137 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84419350299687 2.66675185911026 1.02256316482399 0.919880068180735 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.97389495364246 3.14711228544763 4.98649908759693 4.84122727987701 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.8092031033938 4.18538046823039 16.125744804595 12.7008893636782 NURBSSource NURBSSource 20 208 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56857568884423 2.31366874525301 1.08719517932049 1.31769023117285 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58184763104026 2.31952242032202 1.11027450698505 1.28714119880384 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57747005813793 2.31965720062505 1.10238503138911 1.28947057248002 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58920356193402 2.32361215321821 1.12849347833812 1.34092394454462 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65111915123125 2.43707109841229 1.26429791122473 1.55618404715316 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71931980806963 2.49197691956645 1.78647444515177 1.96743770599561 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60063352941001 2.35355012206703 1.12516081722963 1.35218487832833 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62439231815388 2.38693936883973 1.26470512703052 1.4263946498547 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56718384532657 2.39320101533412 1.35061320498534 1.64189560619696 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76827886247549 2.79393475325498 3.63813686668353 4.01168916044997 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37317596914177 3.538561489388 9.40554227508449 9.27416345725971 NURBSSource NURBSSource 20 209 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32893599286838 3.53043096900862 1.10167232775573 1.10031503422307 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32525043255371 3.52590112420261 1.09326299377951 1.08998237252039 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32250250709656 3.52452763984717 1.12643568711455 1.13618464825376 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34948702686505 3.52776770868322 1.19693918575409 1.23431378543892 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37604184731164 3.69999464368168 1.73475227450116 1.62091361327136 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30611776464238 3.87867827006868 2.85403702604454 2.78104587504495 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34519518473281 3.57787137351895 1.1433664931594 1.08252975108391 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31051325647846 3.52118210390098 1.30913474385648 1.1830286049996 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28779806230017 3.59225090061106 1.97562576182869 1.69246119849379 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.57669441932294 4.46889558449272 8.83824298264603 7.99394674284492 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.58258277097761 5.63515569239195 26.6670596171534 20.3644668786703 NURBSSource NURBSSource 21 210 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.46834594674532 4.31808595782618 5.05868651411329 4.37061766986346 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.46134380188656 4.30041704760173 5.0575523783081 4.4092135423097 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43687075298405 4.31390286929749 5.05065236346176 4.42084049301316 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.47844603489287 4.40066926333132 5.16089719335239 4.43670250832371 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37758432576537 4.60837143922309 5.68441881384621 5.43440331749767 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4857229133667 4.76051448691066 8.28859680652004 6.32976560914718 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4279435755096 4.35943765609939 5.15950273944854 4.59182844343712 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37802727397793 4.37922335445234 5.22085999600964 4.7732047895399 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34643930224356 4.32212465001611 6.08253837016329 5.66048647186765 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.66666707237243 5.01327206824629 15.3001970500115 12.590645138126 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.90314312780095 6.18743198442986 39.3188619997878 26.4103968092953 NURBSSource NURBSSource 21 211 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66511780303783 2.43456070802118 0.55104860067533 0.655342946482857 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66397303764435 2.45323159029802 0.53948820578846 0.675995787315763 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68839018010062 2.44885922451904 0.553990936760427 0.668748710080552 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6904696354634 2.53740246870509 0.591737515390227 0.684968540271659 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62943919140297 2.64236976964919 0.935393615647773 1.10163318656079 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58107892730012 2.91237167090669 1.80606932437277 2.0365555455798 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67878567677562 2.44526299617234 0.538387391578097 0.698896131352724 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71748658373695 2.54133490238736 0.644693191807214 0.769608025072934 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68793666892449 2.77175172681378 1.16078726384297 1.36331735965069 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0765862936962 3.83831181725701 6.66006569709006 5.93472158665152 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.96548424015436 5.28547664299108 19.7917657151674 15.3374326630869 NURBSSource NURBSSource 21 212 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81359240556695 2.4943707307769 0.597711503301169 0.698359568122864 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78868333491052 2.49210700951253 0.640856913885058 0.714155479023869 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75944358685434 2.49866888594932 0.674637713732606 0.702632219131233 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77609215259983 2.49977552947504 0.72437648554266 0.777418412335325 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71078411466556 2.62018167800487 1.20775371772852 1.20998597406107 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71289426036487 2.80835733490552 1.95767950721918 2.0830484725412 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75581022889701 2.49737326669644 0.639040828061359 0.668089088300303 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69221795981199 2.53709607448809 0.836834502643485 0.791580466173645 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63273663928947 2.60084128819206 1.3488011756088 1.25965247211084 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.173523400967 3.51940436969351 7.89008257612428 6.5117455221506 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.97584351077375 4.52528639388235 22.0168547109347 15.0500542691209 NURBSSource NURBSSource 21 213 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36501787393707 2.51473276354073 0.963159443476223 0.945201039188379 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35037277187523 2.51383906685585 0.939656723695061 0.941257678796219 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34788281284128 2.53223368638025 0.918027428576012 0.971023521024478 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.368820043964 2.5594300968934 0.935735266367524 1.00374341611212 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35792976999251 2.62689358487995 1.18197537518332 1.26496083992629 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37875295681513 2.75496164610794 1.73518758597173 1.5921213649295 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38287992501356 2.54208707677561 0.956375440706706 0.937576517604408 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34888401966348 2.57273424909139 0.98542795852028 0.967680878538308 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.30886243195872 2.63103592733458 1.24370680530363 1.17457273252494 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73141938532264 3.25168634654696 5.23651673101287 4.42554864171269 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.57103003524787 4.14191216657983 17.1963273814941 10.8650878246465 NURBSSource NURBSSource 21 214 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36844635436619 2.82863797543321 1.21749384393947 1.21263711927788 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36819031983084 2.83169821237589 1.24333633341883 1.219322388247 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3663495203224 2.82673664677079 1.24242240568578 1.22455174006688 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37783532296136 2.83122274740774 1.31633969990682 1.21177603467753 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39608382028305 2.97524696619329 1.7314071367418 1.62661849610539 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53325804566047 3.12186570122192 3.0711180571321 2.32844085058217 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36438763501722 2.85427885823576 1.23374312028498 1.20371079883692 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34755443200264 2.84663343021029 1.29428057239932 1.24417149843108 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3576042268438 2.90251865367469 1.66068035271663 1.64751419522971 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87269570766604 3.56887558673731 6.83786279842215 5.42206153820366 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.73089513397334 4.40812109163766 20.9000091021127 12.7869249200505 NURBSSource NURBSSource 21 215 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56321376161073 2.68998410717211 0.884454442531274 0.813114740967501 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53721130411198 2.67392624004021 0.861491809658691 0.83475015326724 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5329385004875 2.66471802690438 0.870529090020548 0.852785310044737 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52110110891689 2.63574770823613 0.9063861442021 0.884161822282839 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.44040291963112 2.72983566609681 1.20710946449374 1.17577478580261 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51682389900297 2.87442479868121 1.95458406212303 1.94750657065862 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55022468548026 2.67529403267777 0.923426215723077 0.82218094113186 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54712010011083 2.72540095203974 1.00534573810842 0.890186207972587 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53131933745017 2.78416848220398 1.36920769575447 1.24258434378371 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91743183092405 3.37440125171642 5.84226049931461 4.92260215570136 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.72008959421096 4.44049515465936 17.4902273377781 12.1232517373608 NURBSSource NURBSSource 21 216 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38555004933177 3.49507769272736 1.08404089663969 1.21821033696959 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35390420986172 3.46568355759222 1.1225190950352 1.1586007859397 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32259342199063 3.44084395398862 1.08349521214305 1.17019789818899 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31230962382501 3.45961905669764 1.16826226851549 1.21674059164677 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34044070868669 3.68475284637443 1.84550064521951 1.95057931737704 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29127124566043 3.98892561150362 3.50148468162231 4.05079771961643 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31343388676047 3.43919280906913 1.23869575383654 1.29398385987586 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.25149699537012 3.45617123903752 1.501900360499 1.44238594777138 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39527201774675 3.79095397892052 2.57023757837718 2.30997260017765 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.93826162191875 4.96147979090889 13.0220768571692 11.8796249350853 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 4.39664827349926 6.60268350585012 45.4167468196865 29.9879215852675 NURBSSource NURBSSource 21 217 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74367774596961 2.26954066236928 0.434989293039581 0.345324128437943 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71223660183454 2.26111206919342 0.457842710629401 0.357706993763725 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73277139209513 2.27047682509894 0.450635654621013 0.371115164266815 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7119910330575 2.26480403244802 0.484763008210643 0.428924744829564 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64004955157782 2.32831318932234 0.855555291166248 0.823017399324217 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61367341624536 2.50941065200719 1.57066311541753 1.71394838266973 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77398883041431 2.34561482247426 0.466378946341679 0.391044250097203 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75649772433037 2.40743624242177 0.562554703850061 0.500559226924277 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75274252011931 2.49785368225145 1.04611347803589 0.987784253506051 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94421103049367 3.24067608799842 5.43680326548605 5.30904556590449 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.76024418078145 4.24366666816607 17.3309588089421 13.8691798203293 NURBSSource NURBSSource 21 218 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57819542803013 2.28526363620045 1.22960110741352 1.16268679895855 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55342740409171 2.22902639930831 1.220339394227 1.23897930436535 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55485512690423 2.25183280233763 1.20055086448823 1.24917079715577 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55451418052196 2.28122082714951 1.17680856556979 1.2530169558575 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5559111650483 2.41911880209388 1.27665929000476 1.29730464367545 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.563174421136 2.47959253396924 1.60273346329235 1.62083538609876 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56291214908737 2.2847987759651 1.24736588236939 1.16836772507603 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53270225320787 2.29748109248998 1.30154038079065 1.29959782819186 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49136064795815 2.37334692552303 1.52055713687825 1.57570765620511 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70081701327262 2.85297823652903 4.6688382938499 5.05299260168236 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.48004459353792 3.85903165918665 12.6386490135029 11.692765723587 NURBSSource NURBSSource 21 219 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.1099924156023 3.33933081753553 0.838086958059542 0.893554866685459 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.11447224785802 3.34011879647123 0.870055474909591 0.900480809992 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.14676420559296 3.34570800543042 0.932656680109037 0.934596761442504 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.14940311092162 3.31604867755672 1.03920997760081 1.07247051566281 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15027415688321 3.54366105176177 1.97291182324472 1.92473769068638 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16557092802821 3.78933354475347 3.64533062811864 4.51012640238493 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.09496210051917 3.33593912199712 0.899226609962496 0.981023293006376 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.07115225971125 3.40682079536792 1.23714935501144 1.35618783528116 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.04325060185653 3.60517707682834 2.06373724292207 2.31162791324079 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.6655976461304 4.81296510711006 14.3745471231661 12.3393184465296 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 3.97615252308314 6.56945273274109 41.7705372589008 27.9036300849759 NURBSSource NURBSSource 22 220 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.19833711658926 3.75330894064321 4.5870150443579 4.12807889126825 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.20348663432232 3.75745892309817 4.59940299143579 4.15832725865039 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.20722020997635 3.7571849419464 4.58342962806431 4.15306257869207 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2250260386286 3.75914898120245 4.63738927676725 4.17133637208857 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2093330292254 3.74995743786762 4.8102804106089 4.33136218244522 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21849425255392 3.79079282845781 5.02210882738762 4.47874245538119 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.19467791611057 3.74739897354822 4.61852694614772 4.1607200768394 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17869391462138 3.73885767196191 4.5978108299663 4.20593448270788 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17437653714455 3.74270065650543 4.69764576600322 4.30946586817501 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.23114802704908 3.80981124125116 5.75463356994042 5.2121240156276 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42254552062683 3.88207477129399 8.7454070757417 6.88383124413796 NURBSSource NURBSSource 22 221 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75870931089571 2.51177232251669 0.59530949957812 0.587316257519293 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76480333394216 2.52652651793923 0.595562951366332 0.574757926694586 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7597527012313 2.51726967940804 0.598854533061911 0.580643371250457 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75879461841267 2.52845897040402 0.586987354803018 0.595537207940343 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70455179836966 2.47330429303283 0.64056677880852 0.644572329828011 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67553314091274 2.45282197517652 0.77624436583202 0.71547957128161 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75841522266435 2.50693584801873 0.59730093061288 0.597376798900457 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74117333989116 2.50070049209308 0.60247041951949 0.619986956639513 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70417585063817 2.48545414651959 0.635208198697088 0.685887000998151 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63991217440969 2.42808280772859 1.22926562313425 1.29988506682999 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76464565270373 2.57711777854669 2.54368054558868 2.54488962147773 NURBSSource NURBSSource 22 222 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74702318740495 2.51728654104644 0.704103412829866 0.664833240182531 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75281917937732 2.53172165646006 0.705553983025704 0.667426215976119 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75957952504106 2.54194407954771 0.70430106133593 0.661632521259627 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76231739593418 2.54661811327845 0.704963338220289 0.691327893824887 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81654282534355 2.61421381025327 0.778878658961733 0.767401515450836 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81751532326574 2.63214578715238 0.936792164770499 0.958662696346194 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75952971341675 2.5429257995543 0.71746091441848 0.665368866454494 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77066485002736 2.5696335349788 0.729881177420435 0.699704630408387 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79478944594085 2.59614726893467 0.79735843812382 0.797663723005737 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8445278383495 2.71960052808638 1.68065886722476 1.68167116920019 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0137544546342 2.89979689062586 3.62926035786366 3.26814046611869 NURBSSource NURBSSource 22 223 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23847049195598 2.35411106683467 0.907177792869277 0.986312397192303 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24011133970708 2.35848758039667 0.908549111420175 0.981592513083948 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24728371476592 2.36164228516683 0.913074972006061 0.988352520770371 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25193162905455 2.36917295654066 0.91888855492944 0.997096262498047 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25958348526101 2.37951624562054 0.95616115641185 1.03080584657243 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23995549064615 2.35865238059932 1.02386561325624 1.07716976916962 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24798689911108 2.36236847792496 0.906411258411589 1.00418526335246 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25249130996626 2.3601776755679 0.926961180334089 1.00996539507182 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24603516647344 2.35113669357246 0.933048014325048 1.08508675240007 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28940383905269 2.39059281659216 1.32170938638468 1.50002202359495 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47170248098478 2.53121549428587 2.36367138222221 2.37860813401497 NURBSSource NURBSSource 22 224 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40535254199923 2.68225526461469 1.09277634227032 1.01829745840883 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41079443968528 2.68861511695899 1.09356093599023 1.01701547452213 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41376483098798 2.69314121364773 1.10067776319875 1.01948744543512 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41675105133998 2.69736079400093 1.11069136141957 1.02205014153221 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4334138672316 2.71721734008367 1.21401761159972 1.05985849661994 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42304753015107 2.73700382858558 1.32075360853964 1.16060669012086 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39855848080359 2.68015392843655 1.10168718597874 1.00790339289045 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39972484425758 2.69716077256683 1.12742097537839 1.021822781509 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41757632901457 2.74070307918841 1.20375672821412 1.0754371077523 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.46123328807243 2.77054098386836 1.81499777915597 1.68000035377577 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64770988490813 2.91018498165529 3.35906178428721 2.96449196939469 NURBSSource NURBSSource 22 225 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5212346205536 2.56182707070922 0.8752541416413 0.786618890624417 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51632386466887 2.5583420175531 0.878202948647147 0.777205973218463 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50873141530927 2.54400188910979 0.894296227732007 0.769572596601698 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50887430303674 2.55027936341724 0.912993888276674 0.761274081447093 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5207032226538 2.5677614736059 1.00597530888953 0.8221785740965 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54207163191491 2.57085763454033 1.19545537757245 0.977981986471464 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53876860641095 2.56871613021489 0.913823637302051 0.753414561944007 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57600802968619 2.59692784180415 0.94288372798082 0.764087326294965 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54604449724739 2.58105951474058 1.02653300324515 0.826668091205186 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59098976936908 2.60691043652383 1.8618194222608 1.71099182516454 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.85076340667927 2.77735202365467 3.88604239967211 3.54392352347825 NURBSSource NURBSSource 22 226 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38289397978649 3.4802950155969 0.959669613802207 1.02306481880228 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38521344813699 3.48396891812207 0.960098942210783 1.00906326829075 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38158677029203 3.47710743612886 0.954854578076805 1.02013820117015 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36232484784678 3.45348732593879 0.998000161706145 1.02334776296428 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33641355688892 3.46642277670051 1.16301686998827 1.21453214355379 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35355889322856 3.51110648292275 1.50582272389133 1.51779984222463 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40318469150067 3.49838996534877 0.969666607337766 1.03991923234375 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40404544604038 3.50399532605647 1.04118319533741 1.09690730712518 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45165793693999 3.57895505944803 1.16025129769992 1.24314770049198 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45723017536824 3.7090644114177 3.07667934257486 3.05010867749545 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.70844093117746 4.07875878618453 7.21275496070515 6.99334169997091 NURBSSource NURBSSource 22 227 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7694119163668 2.41814869932562 0.51721829853854 0.438100353192126 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77632465889802 2.42409647251182 0.513235472898564 0.438658433659914 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77888709686495 2.42553841850853 0.537654390554942 0.436743150937494 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77286389012343 2.42655893905326 0.535487939179699 0.43722005418562 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74494335468642 2.4120149935373 0.573667414571506 0.479256534587198 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74953661817173 2.41113921150283 0.696647904185219 0.599951656859675 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76442532749267 2.41217992781474 0.510555884826983 0.448519587233462 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75155145807073 2.40223789706356 0.532576463640105 0.462602410933323 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73217432598384 2.3875520343294 0.605861611956499 0.505932213322141 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74650937376774 2.46574660438446 1.20569136138841 1.10303121870208 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.85741886658875 2.59833305316567 2.57021431669683 2.36297612357303 NURBSSource NURBSSource 22 228 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73872613569809 2.32584995461556 0.925065400153677 0.868241840915644 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72457948196692 2.30925572999786 0.926537643066846 0.868545020157133 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72918114752666 2.31614588344757 0.927159398058669 0.864254696273664 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73677037717876 2.32091345060675 0.936467480374144 0.870720100969679 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73875380174673 2.33582182233797 0.928765191574019 0.856486585410345 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74240758561254 2.32555746636142 1.0346886636754 0.895384365006797 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7635986887949 2.34571676151855 0.923494027007598 0.84796953172911 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77342756104673 2.34724361048437 0.958700634410797 0.844638939918471 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76812405649386 2.33837318843028 0.998399622850856 0.87267612790156 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73494171658109 2.30861371346659 1.32117543519849 1.19747265439529 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75119769743787 2.35125337708674 2.01721816251469 1.92757894654157 NURBSSource NURBSSource 22 229 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16661534558099 3.30006714672225 0.959495061959961 0.872886997960772 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16768730805256 3.30181712209278 0.985221380018056 0.85768464770436 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16326935957227 3.29758889188426 0.986058230476429 0.877102313306214 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16497224427817 3.29635050033316 1.01471568731738 0.926896612150218 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15124290695863 3.32129272274839 1.17695213799404 1.05960473245196 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.1265723771935 3.3482341728956 1.50096813851194 1.34967182772818 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15739615992662 3.29279600922466 0.989080779137601 0.884580396344133 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17373160474336 3.31360960724604 1.00418627579352 0.934117748646038 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.14660914225611 3.31670717888875 1.15239361366314 1.0834679034164 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.20221270218344 3.43812847168849 2.79266812549506 2.63804588681388 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.46581655549628 3.77460990502253 6.56262278169797 6.0184630704887 NURBSSource NURBSSource 23 230 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41944982222617 4.19125984356025 4.76758792625781 6.20883110243967 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42358218318983 4.19128751355581 4.74540981227938 6.2272768476112 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42163345194367 4.19609852465211 4.68906371308783 6.14072520809947 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42236694093759 4.20809260858688 4.63014568995913 6.12066483602089 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41813960068957 4.22476319374289 4.78484924880707 6.0651370112707 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41712048224419 4.26143027198548 4.88683735948253 6.18926289272432 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42164226312129 4.19509065221618 4.74749915591984 6.09090603204128 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4219387600742 4.19741251828156 4.84294802369871 6.03033687116526 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41174939495482 4.22778716845123 4.86977693408913 6.08658637307741 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.50381400405981 4.38474882184408 6.22576490138399 7.26898083514064 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.68709961271165 4.57455023552082 9.12843681196273 9.55309282055896 NURBSSource NURBSSource 23 231 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77072987994341 2.56885059160117 0.615901325018915 0.594637442903849 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77721037271521 2.57954015531404 0.60802955272366 0.602445494869363 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77809484023497 2.58182675228488 0.610048462892682 0.608344964255017 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77478085369064 2.56796169022452 0.624672480273557 0.626444336878464 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77765775664752 2.575945660996 0.696834405684154 0.667498696290163 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72920707128542 2.53085717575611 0.74336947512825 0.820162123963628 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7636550054965 2.57673186634511 0.629732633952203 0.604406134824872 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72167054903782 2.5390255080594 0.622897127655613 0.618825576035086 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75223840549948 2.57427070642542 0.710333565416496 0.648277230112246 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78283245221831 2.62716778549297 1.46028509205847 1.30088392406528 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.86007217671036 2.72543061901903 2.72143218745702 2.51620240590962 NURBSSource NURBSSource 23 232 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02488278434346 2.81511193828686 1.07378773141613 0.653488621478342 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02688495043152 2.81570466499005 1.07773123856775 0.643370188226833 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02920126669958 2.81892376816686 1.07999710166861 0.650904989377331 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03469377718856 2.82800791598565 1.0973688685426 0.651873873972196 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.04500961971508 2.85593444672507 1.15992567694892 0.773049252937304 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.06327321480077 2.89699068846993 1.25162495557028 0.925778630236668 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01229022472503 2.80766755733514 1.09066569959104 0.670709797555614 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02116173403791 2.81744922387529 1.10821403543076 0.691794929322691 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02350694344951 2.82297288614301 1.156660892155 0.754662257417606 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0329431875236 2.8809783507461 1.96573612246845 1.60374063235156 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.09042890754276 2.99614380331715 3.85804554273799 3.49070872784267 NURBSSource NURBSSource 23 233 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27846083705024 2.51309243512427 0.871432482547913 0.977982533842663 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27828964134548 2.51001204461899 0.870508641747091 0.985138122959667 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27563189687158 2.50547117952858 0.868838704479412 0.982414446657036 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28010760257536 2.51352714051237 0.864626089858296 0.998259679687322 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29261747675101 2.52455685579289 0.925878620854758 1.02808771465678 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3000882198367 2.5401700931793 1.00703977599416 1.11675517599235 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28888567304576 2.5225835047015 0.87023832117707 0.995675054250404 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28783094416358 2.52281460644272 0.87828967229811 1.00101664236262 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28390335375338 2.53427814780978 0.930860576580451 1.04407896930082 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32546613691832 2.49974580497534 1.44420198292913 1.50439540413723 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50940399956055 2.59971454887426 2.55298876655943 2.46658689866104 NURBSSource NURBSSource 23 234 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48654960406717 2.9190776131634 1.3277244235977 1.11935663135241 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48865962551564 2.91948900811345 1.32711048881244 1.12105327086078 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49534134356304 2.92825186179907 1.32217815383678 1.12378211947765 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49370154819845 2.92348493595536 1.3176152573452 1.14139516744588 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49454316204104 2.91831791426394 1.39741420007251 1.22556587349406 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49911007876414 2.92881504151939 1.58555738026796 1.34376376153322 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48121684756248 2.91943942022379 1.321798936596 1.13150626155268 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48391803672167 2.92419565613269 1.33718708920902 1.16563500408508 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47576802390914 2.90452888380092 1.4451614519579 1.23791268184506 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57071586853552 2.99728267800363 2.25217985117503 1.90551171771141 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74014540164179 3.09520851015033 3.77304010629954 3.47088868527682 NURBSSource NURBSSource 23 235 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58871762939253 2.69025628948591 1.1710105206812 0.89737879386896 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59434071032423 2.69635992007686 1.1752745963221 0.898909606557499 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59318866749416 2.6965853508543 1.18313664749456 0.910907090697591 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58573423145618 2.67849677036632 1.22169409555309 0.927645338100974 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57912812033549 2.6906827752819 1.24967228282884 1.02638809469614 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57482496008414 2.70073225941282 1.35814935047949 1.11169179125718 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59629967527443 2.70875629697913 1.14524679308457 0.934172051320548 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5836227119122 2.68950508394257 1.18572741210961 0.949459856954989 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5669446488306 2.69493146952663 1.22858951211218 1.02662242375296 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59242119519621 2.70469610058686 1.96597805024728 1.73775761729909 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7868650968112 2.86439278014136 3.55473221938619 3.19631470171565 NURBSSource NURBSSource 23 236 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69632170538622 3.9675304909739 1.26471734676927 1.31872023780191 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69837344903951 3.96509430423358 1.27476513556927 1.31671075848558 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.7139103299703 3.97266088346008 1.30565773326622 1.3254488073594 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.7477375279626 4.01002128832198 1.33393272431289 1.33008500626925 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.71613468506949 4.01542914768286 1.59479729924593 1.50836381645226 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69593113349952 4.02999306712255 2.00092479812297 1.81682957726685 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.70229978877315 3.97100152147643 1.27610961922019 1.34854909553335 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69843437165158 3.98665957715472 1.29971435298795 1.42422854833454 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69319660502808 4.03004732851153 1.52138398756727 1.63552249605238 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.65773603075408 4.12716838913721 3.54883990192401 3.52210615944736 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.87140529370905 4.37543426685823 8.2158645006415 7.67011279570009 NURBSSource NURBSSource 23 237 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91972735893893 2.59757278548663 0.571146136338029 0.499069809716052 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92391708266551 2.60523986906756 0.570800078840113 0.494556353898717 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92169528265168 2.59742910924847 0.578165901011161 0.496193029215321 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91458618854844 2.59472207568504 0.588729037751825 0.505299972482765 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92367808075505 2.62235523530541 0.672886227301726 0.58433103862704 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92239272199513 2.65052638905116 0.830810115618859 0.754574073797468 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94736657562988 2.63223903671487 0.568296058417735 0.505413110070598 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9397505646275 2.6181004667254 0.586772853111681 0.512697545146205 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92702523865597 2.62798564970953 0.679265575665929 0.586206563447842 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81137339415062 2.5890386908497 1.51956033111646 1.37697308037754 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.97849133618981 2.86305722630442 3.14792596706606 2.96863836517777 NURBSSource NURBSSource 23 238 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7329895518394 2.38543233367588 0.748191049350819 0.930483723041808 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71894273261155 2.37136865100492 0.746199106324085 0.941130865167708 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73129367070652 2.37060483724091 0.749310062776835 0.951033239553329 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71779870862419 2.34661108793813 0.757258892293626 0.952954333427534 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71436736289134 2.33620215354898 0.811158035848197 1.03692717915465 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71555853872653 2.34189292183956 0.90954654481981 1.06229297878764 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73253699440718 2.37869235149013 0.752700891230754 0.944707090710261 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70931047539187 2.35310026483513 0.771810833029022 0.963707897355853 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68785948955571 2.3365101324437 0.816986897212977 1.00044771691797 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70790389645373 2.42430305182776 1.38937877029522 1.48789681915378 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82257793186314 2.54466245986858 2.57989878730683 2.50605954857227 NURBSSource NURBSSource 23 239 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38498828767591 3.55741093341177 1.14021841718697 1.00372467171056 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37953744114081 3.54921019299199 1.14120025053898 1.00972414444899 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38369783205077 3.55871519170693 1.14757562736644 0.996687690378223 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40015129469072 3.57931090553696 1.15203812712794 1.00717979606231 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38716043821139 3.58480530314544 1.25446380311327 1.09528084520551 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37157387699436 3.60066237881877 1.4974335713587 1.33327149159616 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39516351706317 3.57548422490888 1.13940386072777 0.970633794144725 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40922276148874 3.5763855582914 1.15850612920725 1.0152144024913 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40917821076709 3.58591251252763 1.23916661849036 1.15592826711324 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37131461048825 3.69865152686532 2.72483775542963 2.65254126024747 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.60012652543016 3.98156519749499 6.06954603824875 5.77504854489356 NURBSSource NURBSSource 24 240 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43350228454388 4.22874464070782 4.76209065335035 5.88861537227486 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42181184825313 4.21760715970017 4.75230928836853 5.87051626400127 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42092861994125 4.21234124972891 4.74438807334445 5.87391325517819 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43307810337058 4.2400680186311 4.74587544032331 5.96678350231737 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45363431982356 4.27931940520797 4.94261890101485 6.03052607821088 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41489627316054 4.25525116514503 5.07455844995674 6.14832869072954 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40094885521996 4.21209176212946 4.67483298280109 5.76065358002709 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41304753083011 4.22234898528092 4.67321735089533 5.82620723328697 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39314804330705 4.21431162220843 4.68884141145105 5.77025282383456 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35482536593261 4.31105854767975 5.84792616992251 6.60386681777455 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.63567546266409 4.47230490152858 9.15447281619163 8.26589875212728 NURBSSource NURBSSource 24 241 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76428316996947 2.60582576293501 0.760417747224227 0.679905386136867 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76953772407859 2.61031089457532 0.758652367976246 0.676152831253802 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76564268531501 2.60769953204618 0.761847880041779 0.682411309037555 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76791327972308 2.5949679162929 0.766168662689218 0.678436416729467 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79481544351727 2.61265843448225 0.820090338109373 0.767917407233876 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7716830282273 2.59882724869907 0.957188467544065 0.906633521365312 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78173597196542 2.60295414542487 0.756727208403248 0.678920121228617 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75522992776288 2.57868711198618 0.785207258108289 0.674938284907862 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77829964443324 2.60645792370291 0.815219973519249 0.698104848641784 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76190221321027 2.64777820210237 1.3837663748854 1.32886335096745 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.85114111393163 2.77918940577962 2.75468001127505 2.6371377919158 NURBSSource NURBSSource 24 242 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92455304705293 2.75563493559145 0.838163329303344 0.731618242085537 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94402747391937 2.77051889333449 0.83824368485032 0.729500784565125 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9413933022188 2.76683344056093 0.84050207716554 0.735386952332377 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94456300934021 2.76834208749472 0.852301076815176 0.729180606076563 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98511391688952 2.81951366060038 1.00278508026706 0.814379498716585 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00498792587673 2.81039685186619 1.16662359085191 0.964708352376375 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.93208703991003 2.76175954153954 0.849092759747901 0.739071606983776 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91781422917791 2.75568586227293 0.876997588798874 0.739257626925213 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.93440081429463 2.78766867867175 0.943347715141669 0.829517432357538 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0125896007089 2.9445157504269 1.91362940597786 1.88262704150636 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.09537200945932 3.09934250937099 3.82863614065346 3.69441741558718 NURBSSource NURBSSource 24 243 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29106305970417 2.49175879700336 0.870148339114858 0.979765585748781 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29230432065993 2.48239398972504 0.904251208687986 0.964166593204842 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29530074784193 2.48475087979344 0.90268278625415 0.964374445507066 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29337216422425 2.48717565846414 0.917496676406168 0.958681275427471 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.30385064772358 2.50811551460891 0.940822761731407 0.987185850081297 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32730522424222 2.5324305452332 1.02108477633196 1.05480661138615 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28171614983934 2.46860701425671 0.881819937675548 0.979962189312791 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28785849226535 2.48449695966664 0.881913700388592 0.991920224356604 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.2856474506898 2.4895196871159 0.91348629828863 1.05437004883664 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33470831895672 2.53558604164796 1.4514777834803 1.47396008026438 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56658914290162 2.64455366968458 2.743823849182 2.52734425650817 NURBSSource NURBSSource 24 244 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4705979614846 2.88448181772654 1.3196923629539 1.18592007808516 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47430553639513 2.87874333781134 1.32337815323341 1.18433561948652 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4706108186979 2.86767530400791 1.33189311486223 1.1826738545413 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.46223333926687 2.86162288126532 1.32617259672548 1.18398862200663 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.46970120479783 2.8745904419836 1.41258177451936 1.23739629521881 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.45168709859895 2.88023520780591 1.51418641669928 1.40708686416702 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47999311763397 2.88850987065892 1.34253137991015 1.19622646382133 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47418490634731 2.88322551728363 1.36620356315455 1.20323520445298 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47526800374347 2.8821521200283 1.43140381439196 1.25951911737259 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51962480200289 2.98392452399455 2.24759908041858 1.97897050409643 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7490187868402 3.14576045515212 3.77284336390518 3.55221660077493 NURBSSource NURBSSource 24 245 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55963125550286 2.7740515102096 1.08465088357263 0.938927577506967 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5624209330177 2.77713971980477 1.08027696653099 0.936650084057602 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57093930435994 2.77963903480716 1.0946512760298 0.933716829510651 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5599962355234 2.76836601352112 1.07703859287497 0.928477835511737 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53466444429058 2.71883225401053 1.1611987860921 0.986815029369502 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55241893596568 2.76221255492154 1.27343014285963 1.09698822887786 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57891800712387 2.78521705394568 1.09925509327899 0.935125631300234 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56067872187291 2.78789737850627 1.10516082716055 0.981344241291735 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55048883283169 2.79210534864044 1.18101855792764 1.0696623138043 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62137665099133 2.83915227287557 1.93742482699499 1.79144744821334 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83086969205547 2.96194228720662 3.7688024507872 3.44748793224513 NURBSSource NURBSSource 24 246 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.69386890311276 3.97684609240941 1.2961698106662 1.16412206932247 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.68426653287015 3.96883903639812 1.3033915732749 1.16081803990449 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.6888965529682 3.9808184040961 1.28635377799477 1.17188296793331 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.68295338428191 3.96221065548405 1.2787867075788 1.22025437364379 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.67288341193643 3.97002570209373 1.44993374181056 1.40648522908271 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64644583439961 4.00003923874548 1.87461684560525 1.80016952837505 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.68968538003106 3.96151927562062 1.31607947491247 1.18728120082058 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.68642010826272 3.96717118232604 1.32406301974324 1.23513306676046 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.66072610629206 3.95986783167512 1.46070055156389 1.42567006466963 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.67339992552117 4.09630240152503 3.45345936601739 3.66837664398647 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.9464580875389 4.45790516008632 8.28609748013379 7.97669251680269 NURBSSource NURBSSource 24 247 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.96247321649397 2.67884916782349 0.590609680562832 0.538841120468067 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.95954466006098 2.67208559322185 0.582761115515408 0.542308871450216 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.97391986822826 2.67034836700264 0.618878274555493 0.536227733896493 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.95402215723124 2.65163771061431 0.633420506235221 0.535008915684036 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94012007308937 2.64214718867145 0.73823807441606 0.594638938255181 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94150441620322 2.66022972797026 0.892902089663376 0.7604026343649 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94171475543936 2.65542326531091 0.613743542747411 0.518643499534915 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94422323169489 2.65263967684844 0.629036883153298 0.529087650984658 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94855427097363 2.6410733686219 0.762203253895761 0.651633025973897 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92455343094744 2.77422524241814 1.57916410068449 1.52078342077458 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00984934244508 2.93426049001352 3.53786480492485 3.23442269065342 NURBSSource NURBSSource 24 248 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74155798941628 2.37200554826848 0.787430718521445 0.927004802791806 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74656071355208 2.37571238021235 0.782139904476957 0.927307115939942 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7537984410751 2.37635877590664 0.7744015290531 0.938569406772692 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75934630391298 2.3875933092999 0.775154688697472 0.948084667617346 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71274434896466 2.36453855993554 0.80061731323871 1.00882714395776 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71753055192336 2.38800485443815 0.863949897518749 1.0878719391849 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72488412387821 2.34034558877138 0.810369181399614 0.918694580517075 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71379063363058 2.32849113496527 0.818591555358825 0.918696481168547 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68895245798463 2.30491140020365 0.842754043282821 0.98724205091466 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66257806679132 2.40141046267679 1.32851228366954 1.41730257756967 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74845741946293 2.53273771727634 2.60418593479851 2.55675500288053 NURBSSource NURBSSource 24 249 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42550624054247 3.61108227673799 1.15368064810069 0.896737563205587 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43657123551528 3.61588446813583 1.14959637960294 0.897512319191208 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44830692080493 3.62776000447991 1.15568443629612 0.905182207633224 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.44821015559798 3.63220519093154 1.17569363039213 0.897943552200697 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42647759376032 3.63226427766787 1.29366526574769 1.07979015382745 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41102307289754 3.6772136863548 1.51098569467014 1.36515483646386 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42284352082102 3.61770779329712 1.13238735652348 0.906875593670973 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4074991337214 3.61177077891564 1.1340331971988 0.954847358066357 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35753854802501 3.58743690194771 1.27321722874486 1.09316114393884 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33049110283592 3.68019353644998 2.82838916145891 2.62062513205356 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.56187343020893 3.96820633748952 6.25990007102496 5.88121090788912 NURBSSource NURBSSource 25 250 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27601168476768 3.82027750515377 4.66085894978742 4.03737476179143 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28585590258411 3.82401002051063 4.66919060983686 4.03112342618646 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2848834717017 3.82673274883311 4.6474208700225 4.04201025123434 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29102837753479 3.82849208081015 4.69067340415677 4.02173210362841 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.23709523001464 3.82203137755078 4.68018534578728 3.97704598893173 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.24154984421713 3.8730755310344 4.88786878705295 4.09600442265401 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29859417643915 3.83661561312226 4.65782665828293 4.01821461575935 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28892075783439 3.80111075557456 4.77185579508295 4.0672693986948 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27966936366751 3.82847735632564 4.82670099451412 4.19723418411332 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29237468488597 3.94448187744831 5.74072078318734 4.85125375840294 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.48936634875396 4.14048004982217 8.95674886906869 7.60752231414705 NURBSSource NURBSSource 25 251 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71839274633389 2.52932458850615 0.658077513089797 0.764124979955834 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71501284346556 2.54067711364582 0.650863625561862 0.763595217042736 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71639704852693 2.53926918805574 0.637761782769088 0.784414378049441 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70960821422151 2.53287657068305 0.629982898783071 0.754853327582216 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68312740716936 2.51582800500108 0.68612208709906 0.71644417199464 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65988488148352 2.5317048295584 0.83414319128858 0.868965385280524 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71629264147229 2.52592718476825 0.677942911035887 0.749001241696906 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73366228472648 2.56255655897503 0.699845690457394 0.768539917856859 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7225533633029 2.62058713284163 0.723273545975548 0.838627790449992 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75213054131757 2.83443693401343 1.51236315349118 1.78054530750412 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84469099877976 3.02367891139479 3.38194360806183 3.58675253197732 NURBSSource NURBSSource 25 252 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81665636159314 2.5603659663552 0.696018496648191 0.675308469754625 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82254345642441 2.56806124948713 0.694734502463761 0.668811324457295 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8205687095789 2.57059729371123 0.707559896833042 0.674644874718473 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80765205814472 2.56387659203267 0.733879148628107 0.684191619029025 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79626167942329 2.59035686393118 0.843919599087084 0.86053471801992 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79534602019315 2.64534226190397 1.05808166262142 0.994371470008789 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8033405410769 2.5649911476341 0.694183729052749 0.679140391246101 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80255631955144 2.57527323995123 0.720793382929137 0.736854547937091 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81061716473642 2.61637267920049 0.814328213010464 0.845115468679972 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79206948334511 2.77909481019793 1.80006339310132 1.88851899640738 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98685104527346 3.09279089262265 4.02356096065053 3.92247546491719 NURBSSource NURBSSource 25 253 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34638644911459 2.45771974417446 1.08978075730404 0.938428478608838 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34769184227383 2.46334027142791 1.0916564997598 0.952226643881937 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35250546635527 2.46496293174118 1.08714542019644 0.943282663536734 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34344332165694 2.45503277910112 1.05941705393252 0.940968076379641 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36932752861693 2.51217091832692 1.07395974717579 0.966671212677328 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35655229245941 2.5215946108179 1.12163821096898 1.05416195341982 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35828972971956 2.45422091499511 1.16228152706838 0.883332331816401 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34511496627854 2.43346741543322 1.23658175676958 0.873309201023602 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33534662741227 2.4477661396037 1.28561850735921 0.968253197666618 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32521355720912 2.59035264451477 1.67604088181635 1.61750254607657 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52060140115382 2.81076178345735 3.34252718333684 3.13576795989845 NURBSSource NURBSSource 25 254 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42470363926664 2.72125425651603 1.10284110977942 1.0135480502284 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43040455588537 2.72680716116882 1.12372157024222 1.00675887225382 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4382563878727 2.73307023367638 1.13251513407273 1.00410119575764 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43464298005507 2.7340446359729 1.14071775252007 0.995507319898475 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39946081226205 2.74020151591024 1.17985242504665 1.11342936586699 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38874002403396 2.74908594409468 1.39443866715853 1.21141179483245 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41471571968811 2.71955319879295 1.1378529934286 1.00382813446412 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38996696545114 2.70565825121412 1.12959172345928 1.036651309495 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37446493915016 2.70537807800284 1.21523837383414 1.17683821850143 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.45269020803751 2.82145386082439 2.13135896009367 1.95171767968019 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72142915742497 3.1048327937576 4.22251538594275 3.69869312577143 NURBSSource NURBSSource 25 255 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54303274537753 2.48518446222138 0.880388605133889 0.936267065266566 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5391713759215 2.4826187647712 0.879271334411483 0.936960250494141 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53181715737784 2.47408163892722 0.875723632269529 0.937999412714533 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53300180862829 2.47288272096599 0.883677306018055 0.933701748995832 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52443927054017 2.47296355015903 0.959264064029634 1.02494533187721 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52145823072326 2.52660263301552 1.12016993986756 1.09818723440075 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5308117992013 2.49077077095059 0.873134797811555 0.924238758485665 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51792481229746 2.49851436381585 0.903453853286486 0.930291469440777 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49672087497399 2.49934234694053 0.968426499868306 1.01145526518525 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49593111806215 2.58892308286023 1.92281339902523 1.86013552281296 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76958500293855 2.89904203004723 4.23382147309474 3.55035001653474 NURBSSource NURBSSource 25 256 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43158791102259 3.50630425730442 1.12910490115157 0.946537751544174 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4288477400012 3.49807483361674 1.11412518092046 0.924156959528166 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43495243433222 3.50352772441302 1.07722870853939 0.956354463923237 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42221861194279 3.49598707903678 1.07265048459318 0.967737989289721 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37990127962231 3.598563278255 1.21776103963841 1.33665367982035 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41910055683778 3.75522890888452 1.52887499289212 1.87984418654947 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45239837827144 3.52350218718311 1.11464874211712 0.952522135890683 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40178696628115 3.50795365506685 1.13554601515295 1.0195961071868 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38609729775959 3.56326994951164 1.29261356499989 1.21040306226135 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39671531273631 3.93250399126561 3.50246216802508 3.38008173659969 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.74927278187664 4.46238428918318 8.81765986676706 7.54716610722466 NURBSSource NURBSSource 25 257 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75897580506852 2.39508219165452 0.502628164961727 0.38049275803175 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76929627572609 2.4002088615043 0.511494421287757 0.386204683007327 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78019841821313 2.42121147610347 0.519094189105645 0.394877459243625 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78242209777329 2.41229193775891 0.526183982004022 0.399555914288557 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73941054682013 2.41024013374218 0.60228288331264 0.454254118289651 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76518967164969 2.47851408651965 0.797045007961533 0.670182570794629 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75746431216691 2.40924076548801 0.525464677105085 0.41402499394877 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80117565709876 2.45829782034888 0.59020922741835 0.457691707115198 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78673267300711 2.48863085712592 0.630279297757381 0.548892944507301 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78682862361251 2.62035828839646 1.54001708901187 1.43625169404052 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.95509793382971 2.8731503158186 3.53560817326787 3.3627422972455 NURBSSource NURBSSource 25 258 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68891517522986 2.25472527161772 0.78132382720158 0.780354241898666 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69067638432231 2.25054677407222 0.78143340417388 0.784492728097965 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69136383573821 2.25689935945944 0.783334725478396 0.780225284612007 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67313073454036 2.23974593505768 0.777125006060019 0.774304946286568 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65051552641385 2.26437930768703 0.847038064031369 0.888221825851646 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62308965573375 2.2797539886453 0.972277346515512 0.992519766170414 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70195196604504 2.26321795457493 0.771964420993549 0.768241560969162 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6844366649896 2.26872860448827 0.791915083097855 0.807537002397974 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65649437079076 2.25851204200698 0.861516454378334 0.871923092590695 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68431369312336 2.40402416726367 1.4697854213858 1.46416182650555 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82874475236916 2.61316269395056 2.84979460984374 2.90403806809709 NURBSSource NURBSSource 25 259 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29658768337798 3.38468746717017 1.06717308160533 0.864925960961884 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29425740122 3.37994356770469 1.06002857545899 0.876721631295887 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29299162954663 3.38170781002673 1.07759677461177 0.8900150471148 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2973107855519 3.39751785636497 1.108511915176 0.892227178739632 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.26804854862526 3.45722342343061 1.3323133803645 1.02604931282759 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21030720889869 3.47257248115087 1.70901808763536 1.35587010639212 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30687214635975 3.39330310702964 1.09519272273673 0.875568746467214 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30409602456571 3.41377744412875 1.12245412744844 0.89916549669282 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.26827516238954 3.45175695268915 1.3017680656763 1.07759591938068 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15767692211933 3.70012593329233 3.1783967924232 2.86454435134377 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.45413458394981 4.152182748462 7.57958273794991 6.63676814657664 NURBSSource NURBSSource 26 260 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16528844117934 3.58899034969022 4.00120957180436 3.68410556052224 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16500940531665 3.59686233471255 3.98189427665306 3.68966982782207 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15953092949379 3.59307722506759 3.96341870279806 3.68714688796851 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15740440791038 3.58682625616474 3.99770825401341 3.69100773123528 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15398452724589 3.57501624736919 3.99793382953331 3.67890825985092 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.13900571699517 3.56348085093459 4.02077256508699 3.65998723471201 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16823093443624 3.59368927600249 4.02138301617361 3.68969471810245 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15638065681673 3.58249807518367 4.02468672023099 3.66980309946656 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16605141629353 3.57593396636938 4.07450617072664 3.62735704785121 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.19716300867359 3.61168737470364 4.20053079532515 3.77955621267211 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18735472156681 3.57223939647181 4.34569099544147 3.82797557890262 NURBSSource NURBSSource 26 261 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77143848779063 2.48312406640984 0.566133088254027 0.563560151904225 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7755623579559 2.48993793183276 0.569424505041729 0.557525614430775 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78129749730499 2.4939956997218 0.571765456071595 0.557185046482753 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.776664110539 2.48893038206841 0.569372939457463 0.563784340227917 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7807162656003 2.48271121733305 0.581907602993059 0.57100623497436 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76241319975576 2.45536338444821 0.609518321694291 0.589852949326123 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77846207288972 2.49163800275085 0.560771937102427 0.575986993617553 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76958504249948 2.49056574815604 0.555036519158657 0.585003057307537 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77099681788783 2.47476865939583 0.551780871015544 0.607345951608485 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74712598395801 2.48142038644538 0.65216592135879 0.713657881203897 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7634747637086 2.51481391184259 0.819737297679335 0.891417033544216 NURBSSource NURBSSource 26 262 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81685233327358 2.54493269776567 0.739473554198409 0.674090650187989 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81229273200845 2.54260200706071 0.74094746841223 0.674593683498107 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81666014904104 2.54797689473835 0.74615118052271 0.675845421610286 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81766666569015 2.55188596184513 0.744119404800214 0.664021590657459 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82681119614961 2.55322020742738 0.742759720369665 0.691136210038402 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82521116156416 2.55084392646892 0.75924470734659 0.700370322117627 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82520049040168 2.55902167708482 0.737248634005394 0.659608781803229 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83731362444471 2.57101891142898 0.740499379975868 0.658078259821597 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84414641674399 2.57159102988252 0.747770563706046 0.667826792434943 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88024674206978 2.6522843700385 0.873295064838986 0.822198487633307 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.86330024791056 2.62039719735583 1.17841549605095 1.1223598000594 NURBSSource NURBSSource 26 263 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25293768077759 2.31206056792761 0.883218910754291 0.948893814753031 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25477175055832 2.31520475915788 0.881140318713257 0.949782764000683 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25694338778554 2.31704632750364 0.887941073938317 0.953164924267065 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26091154711543 2.31814594960677 0.885456709341963 0.956768797450989 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25021791257324 2.31297345895209 0.888811960149539 0.949697007927489 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25205450003995 2.30947331916802 0.895096190981917 0.949480098380736 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26539800187944 2.32109217336726 0.887137896569046 0.949229094807785 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26840103422926 2.32612969279794 0.891455046966878 0.944961673274983 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26590600619273 2.3194848515952 0.885056580659263 0.972706154546056 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26636741931492 2.33867303800694 0.915055217151195 1.02916687797777 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28788935279412 2.34118074457842 1.01190075751107 1.11997208590442 NURBSSource NURBSSource 26 264 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43216945895752 2.64508586444934 1.0671826882471 0.978909104661725 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43131411804581 2.64259199138187 1.06957942878661 0.978065730532853 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43138311246565 2.64282807851084 1.06793879058076 0.980026653664223 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42747896034787 2.64185370954656 1.05642132650425 0.989692058356359 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42268086558914 2.63731684153124 1.07527873406659 0.993021075763393 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42518836370048 2.63802058116771 1.09136632666823 1.02340388196422 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43565937002295 2.64568493603503 1.06786505903353 0.979291799839059 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43145367183842 2.64398693987932 1.06388415670514 0.983316607355662 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42642473152228 2.64295646581888 1.07281209140565 0.987012914969469 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.44267035742717 2.65531143249396 1.21019177554233 1.06570779710645 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47157322292536 2.70619265753812 1.42542516123538 1.26327353225846 NURBSSource NURBSSource 26 265 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54505205396117 2.53115640708589 0.895840886568741 0.787495037729623 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54997370757093 2.53594016279167 0.896094050642403 0.785382986741025 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55214521614281 2.53691133579665 0.887421668715238 0.785426372778722 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54131218284738 2.52950264543169 0.886169124680386 0.796989942328737 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54128740653218 2.51836167932681 0.914652254188939 0.802705390227911 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52844248728562 2.51105378794155 0.936783700538887 0.828030433694629 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54045925173542 2.53241066516162 0.897251936310724 0.78149063792351 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54047640808068 2.5276366459837 0.902791555256828 0.791293080859535 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54724944274811 2.53577167500423 0.914284760895017 0.79215552702313 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.558073712275 2.5420202703858 1.04731670566958 0.935150614567123 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58706402106521 2.59322155700259 1.32836909648782 1.20033744139858 NURBSSource NURBSSource 26 266 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3665442025643 3.46617108560836 0.968530961273554 1.03264683190602 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3725738806911 3.47620896672805 0.967970481163603 1.0220748633118 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37777294334892 3.47745173565291 0.974321750041984 1.01451395483371 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37233451116123 3.47295179560969 0.978742726138135 1.02309275732973 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39837612760403 3.50720407637568 1.01280290785353 1.03271022525284 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38304982137442 3.494578261292 1.08569804436182 1.07987423094213 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36314532842816 3.46839383020233 0.963231945558382 1.04419472169077 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35575509681223 3.46566265586727 0.969464838063354 1.04280226069558 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35985621727022 3.45834124430164 0.998603539148956 1.07163535603382 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34747398867597 3.4781559878599 1.24028314436727 1.36736456482396 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3854874465938 3.56722050005772 1.79526513885491 1.88527921464268 NURBSSource NURBSSource 26 267 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82021018479533 2.46125603954435 0.61161914734699 0.52268175911937 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81743442434851 2.45614469377663 0.625209310443215 0.517351905855963 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81137530684456 2.45168756639127 0.621399494817502 0.518436493085645 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80523960747266 2.44739963503625 0.614554803512718 0.523430333554665 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80603280244994 2.45177013599984 0.628221292421376 0.525327221297261 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80919057437635 2.45713773952393 0.6301851853035 0.527149164466527 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82666145971336 2.46036673234382 0.629126958282699 0.513651085146965 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81476959111736 2.45812275012061 0.632498645432804 0.518313770425196 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82156232474738 2.47324366315887 0.636150719784994 0.531909412751287 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81009800620299 2.46441892575505 0.728374694308505 0.610522362593527 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78655909370192 2.46749344346528 0.941425773464614 0.776370503516198 NURBSSource NURBSSource 26 268 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73066254202726 2.29202247184283 0.799422019326134 0.730750727923972 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73704128165783 2.29400350479487 0.80478466454002 0.735557604428147 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73872572536789 2.29697162554332 0.80607003163874 0.737532224254762 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73897086382729 2.29614987023517 0.812285279741266 0.736283187669021 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72683878668265 2.28286103308476 0.832771216189893 0.737576777581072 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72525775127314 2.27848655480595 0.844068118517862 0.750519460313838 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72615223574283 2.28769675260706 0.801085237692132 0.727781427468712 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72858815280241 2.28509836741985 0.80696247184165 0.726178845591299 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7374556957017 2.28760445736002 0.815133231957133 0.732115155505335 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74050939357885 2.30578180185738 0.881575782250638 0.792245750845385 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76326221761703 2.34450982449241 0.9687213619341 0.894178883753745 NURBSSource NURBSSource 26 269 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21200208078258 3.34212472782579 1.00083604741572 0.950026531115127 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2181391530523 3.34742839743608 1.01038583042084 0.941750628680433 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21634552597109 3.34900852566179 1.00772040644457 0.947080131639418 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21858709112495 3.35047788220152 1.02564377225098 0.959815768402234 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21374164885342 3.34929434385056 1.04863077097104 0.97852701095919 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21157004582324 3.35464292005691 1.10431136433528 0.990682321193707 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.20871213420839 3.338083031702 1.01543004948935 0.962345789260286 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21235576056238 3.34800186011006 1.02732652132109 0.970286759565191 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.20974182445424 3.34741219281186 1.06172637875421 0.99491458324291 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.19507477907413 3.36393151953662 1.30891550902196 1.2244999570776 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.25322822816889 3.4604706311248 1.83438564688569 1.70485543923303 NURBSSource NURBSSource 27 270 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.32917035145785 3.88466577569073 5.51595351917044 4.46799970118304 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33165795188446 3.89020549514336 5.51116457036291 4.46643565659241 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33249990687926 3.89636341547807 5.49319504420771 4.47137422001342 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3378264928623 3.90010998385438 5.52044269892088 4.45681986712261 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31498874757086 3.89711898188048 5.40084177177377 4.47442785931208 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28654413876499 3.85429491207226 5.46224818645066 4.43649438589255 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33500109919152 3.89843549479805 5.49320024734204 4.47770027408271 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31466673427378 3.88889914906028 5.38841998816836 4.47377897617937 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33056220239584 3.88312686318119 5.50545855168805 4.41894091456943 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31890450081315 3.89976874794671 5.43367260998208 4.4866459720188 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.34049638921837 3.9087335722074 5.80580874740544 4.68735842039847 NURBSSource NURBSSource 27 271 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80506018377881 2.52027091466567 0.59249401191531 0.585900636764026 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80957884143437 2.52236644643002 0.593669269192793 0.585427522445085 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81048035574095 2.52287276617218 0.593437749453029 0.585604600163838 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81190859075967 2.52201590964423 0.594531034420857 0.587631492313304 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82255165291134 2.53578170054765 0.59523749605289 0.594716155259604 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83965700933702 2.54672900921732 0.619470414523579 0.622140704280981 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82487411165341 2.53300172446699 0.589934838978394 0.594713630025011 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82561712880436 2.53402069640822 0.599788654436604 0.601963890554271 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.82339517888124 2.55199185133257 0.595834902006183 0.606165963644693 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.81960852549706 2.57394508645541 0.717902173122572 0.712530696653058 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79559468597409 2.59995855711062 0.914997028655925 0.908276504081537 NURBSSource NURBSSource 27 272 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98805637589639 2.71491678239121 1.03371476535257 0.676981429122518 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98480629189384 2.71162500329092 1.04356135614084 0.684417211371339 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98017909553938 2.709242163517 1.0458652826623 0.680102840156499 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98498397720978 2.7083998025116 1.04500724278542 0.674659359899159 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9931872851569 2.72606674083869 1.04266136957069 0.67218246729182 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99200203426108 2.73518104231183 1.05730942109525 0.701828243899297 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99210732271067 2.71710219568303 1.04287776406066 0.680539691326649 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99585589926704 2.71858473234891 1.03988707807048 0.675963535061658 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99415227041228 2.72842677240624 1.04088970711627 0.688851611268216 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.97636679260783 2.75368082939112 1.1427378651183 0.82816883308314 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99677537259906 2.78685013011092 1.37928094979656 1.07726312917119 NURBSSource NURBSSource 27 273 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39793629222179 2.49086637137912 1.19077947807202 1.01354347044665 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39902639877534 2.49383599432437 1.19250278832034 1.00944925864291 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40181445686535 2.49546253107196 1.1969351240244 1.0012111233354 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40044127824437 2.49423237406177 1.19973226181179 0.990265655287167 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38931196547287 2.49982190212732 1.13714726074022 1.02128064302961 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38122144611977 2.50705505344088 1.11266838620722 1.03602968235827 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39703012567664 2.48958710040272 1.19118222444795 1.01357772002377 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39348044541683 2.48605374551238 1.18460873313329 1.02026780796068 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39127542427751 2.48955463295246 1.16524074332341 1.02940535640534 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39264435633021 2.503582764534 1.1761269978497 1.10992773307876 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34607951715496 2.50421806938451 1.14208211694631 1.23653974866246 NURBSSource NURBSSource 27 274 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50257487346445 2.86865669983352 1.27623931921598 1.17248000763111 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50099885594023 2.86597387567112 1.28092739196361 1.16892506744433 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49308092635239 2.86017629748356 1.27323794656146 1.17418479269876 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48604714012212 2.85551171480312 1.26649654957221 1.18034424348449 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48767375314259 2.85331393591839 1.29298844633801 1.19497325495948 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49516042240667 2.86568061543217 1.296869173855 1.21083256309828 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50170910041258 2.87016601047035 1.28266626286083 1.1640505843879 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50363058421686 2.87131550862808 1.28434394064313 1.16917342166634 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50589617516901 2.86689375162289 1.29619565235253 1.19414587049222 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52815333727054 2.89292716676553 1.44781172274132 1.27336959485691 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.53014347290602 2.89673644433191 1.6559512376024 1.48021780738171 NURBSSource NURBSSource 27 275 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61136933648263 2.66991674520997 0.956120758904998 0.957074116725954 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61263228316914 2.67134766886118 0.950115379132338 0.962347780600504 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61065792675074 2.66538715733327 0.950757301434068 0.959338518760876 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60811185029804 2.6639641730488 0.945662883527545 0.956097049275343 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60182346601377 2.67065042871985 0.950866042870492 0.945105190743093 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59914832043721 2.68067453178292 0.986632605663706 0.94831801094571 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60182450852174 2.65969341104864 0.950632688551634 0.957858307257375 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61576798506353 2.67116765077092 0.963162197592763 0.954024405870354 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5966869750906 2.67723398773964 0.922913549004474 1.00090700895519 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62250130453943 2.67583314299128 1.07869952148392 1.1801691616496 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60963687640454 2.67340555594748 1.30254395349143 1.38189831352415 NURBSSource NURBSSource 27 276 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64381609683071 3.90521696932639 1.22139294529098 1.18902569716537 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.63862993283072 3.90340392825314 1.2202909944477 1.19096785872771 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.6454739243845 3.90447129627579 1.22146415546051 1.19393780491568 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64307365304717 3.90489227183801 1.22875079620071 1.20490918261 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.61279900225672 3.88265389882237 1.27675901935515 1.27712789947922 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.6144337093852 3.88541628732179 1.32963591602608 1.28534069063085 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64883715705251 3.9094273330203 1.22995814206539 1.19073453794759 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.64113438539274 3.89817704633319 1.22906296148163 1.1970340269987 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62617668059942 3.88272805624934 1.24547911966555 1.24265319179814 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.59886226540179 3.87659056225619 1.51650826441401 1.62574607554116 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.58335745712897 3.90052197340764 2.13289649643183 2.19896774443691 NURBSSource NURBSSource 27 277 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.95969120092749 2.59883495978001 0.645161880517292 0.524347938554817 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.96466916116518 2.59937866182988 0.645409117074138 0.526464708490362 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.95830853451102 2.59143522203379 0.647113825418374 0.528359190623019 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.95157498870175 2.58945218620351 0.645417271780178 0.525772994572931 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94443139451098 2.60545110905792 0.642727782591835 0.54604224978314 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.92548541410816 2.58439245637647 0.682267795020537 0.556127518125027 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94627964408264 2.5855233878362 0.649603215672609 0.529285096913559 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.93882632839695 2.5815913333406 0.650856124990037 0.535536361535456 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91623021824956 2.57951905641373 0.669877717572957 0.561791674642717 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91179379311997 2.59076171059523 0.805930225945093 0.68410594896796 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8913143115736 2.61521374029796 1.01947695699302 0.911004161475878 NURBSSource NURBSSource 27 278 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78413651820468 2.37039931008928 0.790308187190874 0.814873949296037 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78813682804585 2.37455000293979 0.78936582235116 0.813868905963769 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78971454592482 2.37440705106848 0.790737136361792 0.813674788313238 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79239305973357 2.38255334347192 0.788830051653772 0.811200695825382 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8024304557133 2.39726422078892 0.785605906130508 0.812737443215904 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80472041026333 2.38365748608909 0.810762811328778 0.828932183855682 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78909972116913 2.37878913815128 0.795130776117163 0.83012981368564 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79992594853441 2.39235904834941 0.78734381076982 0.820988511999043 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.80512606584079 2.39325518393816 0.804515153433164 0.826239976841672 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83719611183084 2.43079101287255 0.915222792422755 0.901265043062677 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.8148435927685 2.43117472740544 1.07116097150565 1.00040999324663 NURBSSource NURBSSource 27 279 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.42664444133185 3.60080447416134 1.07878163854452 0.867231437555376 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43326162188151 3.60202038693139 1.06119922143143 0.88033035082617 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43370077619166 3.60204962631321 1.05519576094157 0.876158516342789 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41869559203795 3.59079540709738 1.05834016090294 0.872385070504044 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.4106268243842 3.57739776268098 1.07225726025421 0.916066436817158 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39357272657527 3.57657430842745 1.1091979319625 0.971675938574736 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43348231703881 3.6017344644033 1.07002175902838 0.87789014781367 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.43244294018337 3.59805982774297 1.0550414079166 0.882921788408794 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40031164188892 3.57358703344204 1.0772730189118 0.908246361419569 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.35703123287234 3.58346368522458 1.26229720007879 1.16347027898304 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.31633754156911 3.58713161863719 1.7172071756455 1.66962823913551 NURBSSource NURBSSource 28 280 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29680852844835 3.88088849388443 5.22429908708672 4.50874735049488 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29804162542054 3.8821578949201 5.21069128755734 4.51805687115424 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2992603871729 3.88443843493566 5.22787403520389 4.51374988377385 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30097881830474 3.88703650640879 5.19565248772107 4.49525466778671 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30930892011224 3.88006114497113 5.24263710024973 4.4487799604918 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29262790711639 3.86674854563317 5.27531872823485 4.39009816126084 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.29830887309382 3.87940685613997 5.20845274608566 4.51777696453887 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30439384869195 3.88456751866963 5.22446649034983 4.50015434387403 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.30099212009847 3.89473823681485 5.1448988449583 4.52284856527928 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33118927681245 3.91152327175891 5.51545856832106 4.63680235351757 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37117673874757 3.95529256964286 5.9559525061833 4.64672899968845 NURBSSource NURBSSource 28 281 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74304296700523 2.49882599967772 0.683146099858016 0.623430637312811 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7402357922781 2.49159789539267 0.680223424365087 0.624205119413833 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73454402618741 2.48627038820641 0.67811233966088 0.622240018124666 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73259777776559 2.48580125830882 0.678713405301493 0.619500307044065 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73580214614374 2.49903053737033 0.671479662627515 0.63395183408497 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73151044910563 2.5090130546905 0.682982616931696 0.655211678836753 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73729679600058 2.48481990606814 0.672477913832648 0.63284359528451 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74126346649891 2.48735892833622 0.683991904301663 0.645621605807721 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75455279049903 2.50344787189575 0.69860177999329 0.636503826857026 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73645218950948 2.52402036409007 0.787182578521803 0.796386361669961 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71539116180212 2.50398459836566 0.976308524289195 1.02822527582957 NURBSSource NURBSSource 28 282 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99186799961674 2.77975992223977 1.03499330271765 0.686366055373533 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99639689165289 2.78642520855494 1.03427609920679 0.681141418318524 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99262372489703 2.78291980072366 1.03211026490554 0.682240151575866 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99541568617496 2.77960647458623 1.00255423926662 0.675428208742359 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98383431102565 2.77839162068743 0.990276899858568 0.697842005905026 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01728643702986 2.78563702106595 1.07757740768092 0.744135988858819 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98842851059803 2.78407147803533 1.0168727549831 0.680917700243332 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00221482310185 2.80798495390052 0.997239691089536 0.699382756851923 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98997506957904 2.79962865010426 1.01407150550352 0.699242569296934 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01271661503813 2.82371822799587 1.15885952409685 0.84068419955615 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99965883855889 2.85163804925329 1.35247689195506 1.17500560713711 NURBSSource NURBSSource 28 283 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33028741391386 2.46963952481755 0.916732074836519 1.05669369702966 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32700588275507 2.46771537353358 0.914074652676352 1.05751875488251 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32643538169204 2.46634437222666 0.915540570655134 1.05713009991436 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3309972440963 2.47036792079522 0.920901160097537 1.05361425715413 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32432784841815 2.46430462751016 0.932479608225205 1.05277024268101 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.31542963387556 2.46748626240756 0.946004264645338 1.07417680092804 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33478868517961 2.47928330758147 0.921433832780813 1.04939012812433 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3355165761591 2.47804828529521 0.919554780285213 1.04501224203711 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3149477420957 2.45708198411784 0.924918332018569 1.05248143078639 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33365760375936 2.4658219437311 1.03266021455504 1.10180428746192 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35560968675612 2.49720326891776 1.17250860139923 1.20552521866846 NURBSSource NURBSSource 28 284 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5017865209166 2.82325149049152 1.33259976947378 1.17425925856109 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50192672051696 2.8230216130325 1.34082563733986 1.17113292283877 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50641593197826 2.83332531660349 1.3348695426382 1.16450634369782 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50002720710837 2.83072443934789 1.32203465571839 1.17043752846429 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50768476266302 2.84294194176516 1.32542959526767 1.19421022533175 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52513197837341 2.84509160025167 1.39035826628365 1.19748356919972 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50360832539257 2.8307109110735 1.32434629013492 1.16937815665537 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50626617070446 2.83548619555161 1.32242673185273 1.1720452480103 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.50786806239981 2.84338300378881 1.33899771033183 1.19301556158628 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.52115036576808 2.87421948311895 1.45960074653859 1.2872543007001 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56746376748356 2.92119986593926 1.71012339963815 1.50077569766216 NURBSSource NURBSSource 28 285 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58391942735445 2.65919767943842 0.924822623599894 0.895188748654408 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58399594773589 2.66039612363985 0.922742415049087 0.89623749249199 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58753391888747 2.67030268340131 0.923638567029921 0.893592545688659 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59321764350123 2.67170611446446 0.933188905815005 0.892600183513645 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59782314417089 2.66907431556263 0.961908344552471 0.89389446764161 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60220633439617 2.67938839552427 1.00553478305561 0.91529130031963 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58891523425644 2.65871217288192 0.932115276712897 0.891792243142685 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59057461085882 2.65623695192446 0.934333489178677 0.908610598872862 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60396834561285 2.66808701247603 0.954730515113261 0.906654736576055 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60322117524816 2.68704950971882 1.0685443631841 1.01605537068685 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64280898093965 2.70992977397565 1.3181500730536 1.25542763235979 NURBSSource NURBSSource 28 286 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.6235850141362 3.89788424323088 1.20401312838965 1.26992254583764 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62387331647107 3.90455477280198 1.20292180425953 1.26021586094305 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62854039679592 3.9065130803746 1.19882637257633 1.25102624055389 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.63234588953229 3.91155877605868 1.19792560591089 1.24246703823079 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.6421613742059 3.92354704493457 1.23445371192931 1.28230009220742 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62129679925124 3.91391232250077 1.27181171938539 1.30956563042464 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62947946485093 3.90070851905912 1.20473482754182 1.2790345340933 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.63442550014101 3.90327736292677 1.19519670192828 1.29155544978184 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.6421076346243 3.90416555096076 1.23010624848291 1.33583453681433 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.60269301212413 3.90006724129339 1.542274473925 1.65970033994951 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.62165820557932 3.96829857269234 2.13876171643051 2.24486593795065 NURBSSource NURBSSource 28 287 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94427879880128 2.61271743807618 0.652357034453478 0.55545903206225 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94185448980259 2.61035388391261 0.653074182605432 0.55514529149177 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94068682970995 2.61105007071503 0.654569747505228 0.551554065311461 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9541828058918 2.61559377019767 0.66370945774747 0.553572474430814 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.93950446006062 2.60694089225929 0.668606330915885 0.594034725579929 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94108014218945 2.60112129185908 0.690561873516728 0.610400950868473 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9481271053246 2.61873315795899 0.654326562100369 0.549227109038692 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94498984365058 2.61048323461772 0.67761319603968 0.555950941130005 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.94196354971241 2.61005031078848 0.659188707209791 0.560622026036894 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88997855531981 2.59096471735388 0.770706852917037 0.700629974752429 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.91359991659158 2.64001234382095 1.04098686673612 0.940224248590974 NURBSSource NURBSSource 28 288 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79100078894675 2.37231678965342 0.823712391225386 0.797039155873359 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79316263582864 2.37300507913646 0.819797571074779 0.799333010826506 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79106637644604 2.36895506700323 0.819422023798838 0.802985258182754 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79022883592777 2.37384912300535 0.794853670413877 0.811468834265675 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79950394945177 2.37126003556909 0.81725985707029 0.812952068630956 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79783899063845 2.37642770633571 0.839386158140726 0.82412122387402 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7917081004508 2.36664177141553 0.832930227896905 0.80660070196734 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.78296526851922 2.36244514081719 0.832730023151544 0.808852796751233 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79964401647865 2.38312895154932 0.837514427146672 0.837879023509929 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83176439681458 2.39725843647269 0.951393864644228 0.929137436214234 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.79959775513234 2.38737829213066 1.10842553749441 1.1093332247355 NURBSSource NURBSSource 28 289 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36581268247206 3.55046920540663 1.04917261542848 0.898536481657558 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36908356554951 3.551487018505 1.05807989586766 0.897214152585999 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3675922075364 3.55021994796535 1.05834039545093 0.897216654511468 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.3734119019829 3.56148261257984 1.07021502169006 0.895264491457098 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39717434034087 3.58999537511231 1.11289425392142 0.920170825788374 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38709176385151 3.58975752382561 1.16633548017228 0.953522452970828 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36792327164793 3.55615870891749 1.05381023261829 0.905756485691053 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36982774034417 3.56299036573622 1.05551588477628 0.924232519969809 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38182014604961 3.5712862347013 1.08570541070548 0.936081184360446 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37581720898257 3.58930343226499 1.30169551457363 1.16601213570508 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.33007625794632 3.58089049534414 1.7857984992345 1.69848356694364 NURBSSource NURBSSource 29 290 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15802138333565 3.53735741033369 4.16280976049539 3.55725091530528 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.16064806918968 3.54518690557362 4.13492236710286 3.55923558200945 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15557504492588 3.53948076479631 4.12411340286263 3.54740262202804 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15692717413865 3.53726685916644 4.13126333016809 3.51454225658432 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.14838656908261 3.53341491269223 4.05302832089834 3.49539434070005 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.12973674621781 3.50335136538296 4.08304441972695 3.47137597045066 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15212225237575 3.52138607956461 4.14208405380384 3.53235826315259 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.15347442139721 3.52552131497898 4.1938810713614 3.43598530279158 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.14109206822836 3.51779996698216 4.18039981628308 3.3888792099669 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.08638794094659 3.46329343909989 4.23908259021662 3.38974362762872 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.13210732988182 3.56057115061863 4.57201678563554 3.56062323500567 NURBSSource NURBSSource 29 291 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68256454183844 2.39774315206863 0.629229229020606 0.76452936073185 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68925745125328 2.40017146855813 0.634591589462073 0.740215178225619 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69695325605813 2.40414638576432 0.635531866469542 0.744728378440273 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68863392280092 2.40360392571925 0.623440431266371 0.750412679601037 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69399927752687 2.41634003173966 0.642755801523231 0.772473941940807 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69882490771725 2.4349444771049 0.682060937910354 0.813869107413086 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68348476630581 2.39160039698737 0.629685934752051 0.74051061603922 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68313453483535 2.41025082034852 0.625647402952614 0.79206372852956 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66046175421035 2.39509962338222 0.649332999016437 0.8285962890655 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65169773005766 2.45792091972996 0.861008521723145 0.950533537633913 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59855019293462 2.50918309431065 1.2997980254006 1.27502920829241 NURBSSource NURBSSource 29 292 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89216559499257 2.5964117010696 0.86523323378421 0.743384900983036 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.90151486241633 2.60142141760607 0.872373381478319 0.741617936940109 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.90470196772942 2.60922336946507 0.872348840111288 0.740612230145006 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89296904233773 2.60063976001866 0.860641603128096 0.748351143043559 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88564078022462 2.59983210743084 0.849897555700625 0.806389208970968 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89871447972286 2.61382267423254 0.863032608699387 0.830634231157707 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.89385381001614 2.60928035333881 0.863643797018816 0.767410433410373 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88161004776581 2.60722513072029 0.866983220847514 0.785014818003392 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87770257427775 2.62219860853787 0.867743145256094 0.821213039825378 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87492484663595 2.69048344141921 1.03166892843214 1.07582102365127 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.85371573423887 2.75145731634289 1.3581474576619 1.56649692553123 NURBSSource NURBSSource 29 293 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27208943422064 2.32506254341761 0.818053751261498 0.908060998288444 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.27064183347643 2.32141307899992 0.830011148937857 0.909254855647677 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26860308498638 2.32029005745393 0.829240638864806 0.904097591741284 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26970022441431 2.32493174083609 0.820265831202054 0.904225067327667 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26913118149441 2.34056510503234 0.808116523578697 0.929279232348046 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26773907416478 2.34238471919469 0.828223595653291 0.94095416727952 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.2676060820386 2.32060473850962 0.829109625038126 0.901125475615634 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.25998987372345 2.30871927632706 0.82609781777885 0.902120525570416 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.26170089974275 2.3095330292433 0.813348493825062 0.917672460182926 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24854693726174 2.29776241835554 0.864923452287662 0.981159686674872 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.24696513554756 2.31428325756119 1.04735294677355 1.10033955520636 NURBSSource NURBSSource 29 294 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49082632876534 2.70611193721332 1.24796223925574 1.07299544574873 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48983463564347 2.71176225652144 1.2422253643031 1.08696516320532 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49033289533988 2.71069383658741 1.24284488034911 1.08985405894271 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48676069091708 2.70621750162107 1.24091392187184 1.10323595949694 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48469377278971 2.70918642310661 1.22611648880357 1.10458051361075 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47695449950486 2.72919804724042 1.23272167753582 1.11350082337562 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49723947918188 2.7226810892864 1.2411280656887 1.09803480077888 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49772471749787 2.71981062602611 1.24552549520576 1.10927292906426 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49415981891342 2.72472192927448 1.23816035023443 1.11285110956017 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4772924948218 2.77761211213676 1.35529463013957 1.23435948580634 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.44490610038571 2.77781993400434 1.52008497445627 1.43241905714639 NURBSSource NURBSSource 29 295 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5600373441052 2.48853761335564 0.820095702486202 0.803867464921703 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55868709813282 2.49087791164768 0.824630743696693 0.798094805988916 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55453019271171 2.48101594360399 0.831972062807801 0.79871064403596 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5566656969562 2.49131470836158 0.839213112083812 0.785867900453854 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56430621618735 2.49122307049848 0.865167522417174 0.791817212388343 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56171279896601 2.49050923224835 0.885528062247028 0.839147079091032 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55921341700701 2.49234621524782 0.817090363748123 0.803895063727793 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57179825321997 2.51123038565925 0.823288581153204 0.811700419354129 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.55811653120279 2.49762269652642 0.82740668344911 0.803545622717027 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54133642381597 2.53534768939162 0.960441252955164 0.953902083739432 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.54067809717502 2.59573321066915 1.19900950562692 1.20063231725167 NURBSSource NURBSSource 29 296 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41402170939572 3.52651362853173 1.07876068828971 1.08860699586082 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41260511826243 3.52801699088036 1.08031837254293 1.09195609467143 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.40459737336251 3.5262264928041 1.0761895097422 1.08958406053803 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.41355450644541 3.53902375135877 1.08929325664068 1.09699946953706 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39758616224259 3.52951431195738 1.11431279366691 1.10034835616386 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.36678842296765 3.53245471186361 1.19964725362532 1.17302641963475 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.39926561556857 3.51702054502891 1.06949992908423 1.11188233433129 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38821441984932 3.51948198889287 1.07510224044416 1.11823662246983 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.38898234251871 3.53456657707021 1.11471810926715 1.11981388625309 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37931146135336 3.63215750989924 1.44703623510291 1.41773748699736 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.37228058456064 3.72061834509026 2.05583972456435 2.11366518471771 NURBSSource NURBSSource 29 297 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87233367995483 2.52347551957949 0.561644745714319 0.549204603212223 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.88039382492348 2.53169357725406 0.55470445281525 0.553077256449412 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87380247288274 2.53056605673895 0.558137592145159 0.551115663310752 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.87256066359656 2.53086908484326 0.562997457196966 0.549256890970923 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84861713410467 2.51381078180857 0.560612783800728 0.548738275002491 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.83420046716986 2.51409955182277 0.613569789823554 0.587954202982698 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.86047239795527 2.51662471781657 0.559552944113554 0.562836956961888 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.86077138754507 2.51664777798717 0.558114466772444 0.562333508641375 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.84133923800709 2.50780125609587 0.574124844737453 0.562544342627061 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77835923554233 2.4610696980187 0.701637326237589 0.714798206371931 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74896905776983 2.54998597887414 1.04135828461956 1.05137689287916 NURBSSource NURBSSource 29 298 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74303481493201 2.27963172478767 0.661526634065882 0.724360590798721 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73859727381973 2.2701791218389 0.655954168548427 0.713173396051955 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73266100378462 2.26211284008702 0.657338200836447 0.71056845333636 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72866723998722 2.25936511705279 0.657624844198538 0.706814961314132 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69745864162731 2.24825293278295 0.658295738090489 0.740762431300507 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68105206672103 2.25133410225384 0.664186391582548 0.813229685897584 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.72666631465759 2.26574523066224 0.666159017272574 0.732783702330964 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71403367812624 2.25711347068304 0.664846826341245 0.725562580718562 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.71951407710696 2.27280558570923 0.667439223606828 0.735574965586243 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69361763961865 2.31273980425254 0.728794292219704 0.92705590774751 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.68373248714235 2.38612736717313 0.957929019939376 1.1942875528807 NURBSSource NURBSSource 29 299 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.26378720756312 3.45224908468184 0.975513206135637 1.0077873026438 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27068692112642 3.45705959096614 0.979437717315175 0.997529629808025 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27085384835121 3.45098395859171 0.974290231560725 0.993797081174987 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27035197889055 3.4464720193957 0.992001543692641 1.00084072448444 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27745092842372 3.44982024488539 1.02942768934638 0.992876106062195 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.28667512705487 3.47737095735307 1.05919737266576 1.03747876705395 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.2692638145951 3.45325531386498 0.990736540013148 1.00915744779602 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27926516277833 3.4562666862106 0.992063303439326 0.985060168382309 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27527913219611 3.4643173157064 1.01692126644561 0.990243402950507 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.21346055228688 3.45024023568702 1.30581009377502 1.2430610561521 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.18552055166115 3.53705538325656 1.99605024682927 1.83839197496126 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372141975082657 0.460513993905167 0.0654910721068767 0.067847658798938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371762057899985 0.460434722242032 0.065609265290813 0.0683419436899794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372127674677536 0.462162084060991 0.0661800627607355 0.0697628318605575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374432486198821 0.465314716704772 0.0678862243652824 0.0713280453112315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.378036917259704 0.472677747836139 0.0761732376512338 0.0804142965564184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.385779068713516 0.480937657075337 0.0912748430546846 0.0955096369010901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372398458332741 0.462239821412089 0.0668115402716012 0.0697957518647925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372148927600405 0.463080348048444 0.0693222023718599 0.0720783511991828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374871679113037 0.466885181989197 0.078424958305459 0.0803228865445826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.414234481651942 0.5157658843443 0.154199405070258 0.154280780732374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.486704144195926 0.590199010064512 0.303513619143083 0.283009865843484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.521231315184114 0.524254807727582 0.272243383740223 0.297980407769254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.521214438164064 0.523684755379318 0.27315040629811 0.297710818568462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.518767727069225 0.522033507505177 0.27356983789843 0.298604100888748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.519998889109415 0.525976273343758 0.275539527737602 0.30314986397971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.527869659410089 0.533362743958475 0.294856727820711 0.323520449000363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.532216928287532 0.539430344123642 0.316298144272107 0.347519439615078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.523052737868876 0.526057547629944 0.275298430244025 0.298648739965739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.526695156869238 0.529163437077099 0.281057271203991 0.309425518898499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.530065434410919 0.535219231890476 0.296992351597123 0.326697599388019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.573273098184444 0.574194584234821 0.395535331104541 0.426808158128276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.6420068027474 0.644168367962441 0.556792198283542 0.588666534758136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.36610603513779 0.466805521066628 0.0535009070866374 0.0577664985247191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.3651242138844 0.468241765883596 0.0536432475822902 0.0579919980508837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366536629744794 0.470213360603145 0.0547917513047823 0.0587110529339427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.362790976614189 0.470319494659161 0.055229373105824 0.0615788035512482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.367799063265107 0.48331540908358 0.068139544922858 0.074777450602497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.37099775535495 0.492836291709498 0.0827788426303442 0.0891360824670889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.366314355642557 0.471838352158505 0.0568197537468377 0.0600990428354402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.365573922630937 0.473793050899473 0.0593337275720792 0.0629901697413086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.362689438089521 0.479543367670384 0.0670690981002097 0.0732793371519262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.388871272019243 0.529632333757432 0.138859508982614 0.148836384255755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.454857165617118 0.607107499653571 0.28021584656511 0.272876543531368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369713122447744 0.471010561156801 0.0554032525101904 0.0571806452092721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.37009223474636 0.471942087033066 0.0555915607737987 0.057634381794244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370175992430506 0.472963500897914 0.0561555645357673 0.058493942029862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369014102031167 0.473278312247911 0.057259511790305 0.0590502038087007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371897762700731 0.483833151844051 0.0662596951091255 0.0672948619780067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.377123530181258 0.495257139514332 0.0811719418182376 0.0810757669103116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.365668105844415 0.471621908402473 0.0574965394949634 0.0591214547077282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.362681162600778 0.470369765150728 0.0608715976707817 0.0620778918592672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372806069816224 0.48703893722019 0.0716440483222619 0.0732379595003994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.39796501145431 0.52706420526008 0.148145216477385 0.150741081981786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.475193747969324 0.607076784633735 0.290938115881695 0.278910487557285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.406376341566901 0.497141273648958 0.0600473053773936 0.0639645565962694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.405537268394479 0.497419705794592 0.0603093184627042 0.0646519114858335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.404775303454663 0.496741370218073 0.0617505622838758 0.0656525202721424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.407310718208421 0.500425896704706 0.0645452985756818 0.0678327638884953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.403377812375881 0.501213976052087 0.0764477115490912 0.0793959099136062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.410661782948983 0.50895494048138 0.100672098495078 0.0959688882501456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.402432229595837 0.499165154121889 0.0607577965374663 0.0669528130173094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.404240260845633 0.500099223165002 0.0639526826630477 0.0709790040458119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.407747208998954 0.50992798474039 0.0755985812636198 0.0825963219330962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.453774259878833 0.561226326376268 0.180610519660323 0.180460457382104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.545454781544271 0.654136730066651 0.381711131519712 0.360332686804471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.375652338202835 0.602316303765157 0.170354824799473 0.172311555084826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374834845490178 0.599006145819417 0.169699189491395 0.169724923071159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374845438918081 0.598556559331631 0.171389591124552 0.169660735649548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.375982602698935 0.600166392252931 0.172492790189457 0.171063295862986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.386003796489491 0.610966819012597 0.186857852578578 0.181370099100987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.397305975041304 0.617864480674268 0.20309799479751 0.197621789806177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374767542640572 0.604181387336929 0.17042200711612 0.173410537203565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.375426548527416 0.603061780579878 0.171220242156363 0.175487825607306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.383762999186793 0.614448923763175 0.17727703047548 0.184242455575135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.442368675085494 0.651300062773732 0.276304775148456 0.262837923191703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.522613322425694 0.712238172974057 0.465359091089048 0.407458941795956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371720956468382 0.429331657274255 0.0408736892404485 0.0426967637417399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372565475029474 0.430580509138096 0.0408901209075238 0.0429079512716063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372704519163444 0.431100456930018 0.0413170710011543 0.0432852069150506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371787522584383 0.433332261827837 0.0425316015844175 0.0444267164847958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371938864828004 0.438577571494588 0.0519122244310862 0.0524923142613296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.37728674646779 0.447603348828653 0.0644032589202719 0.0664664068046539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372149611050816 0.433348362494416 0.04150596010634 0.0438756994151458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370203094525345 0.434395667956617 0.0446665273592475 0.0464820683592052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.374899374720444 0.439398982398146 0.050928588062515 0.0548596905388034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.400134480563456 0.480796793831508 0.115656642315225 0.121597981348373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.467018639634252 0.561271298198541 0.245132897964996 0.252015200161914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.422878921355746 0.579977594316218 0.293881194083786 0.28648308433841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.422778346643596 0.580500015983792 0.294509378574308 0.286370928419322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.423813254695972 0.580740895354914 0.29526541628107 0.287477212430366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.42368653826222 0.58067006173284 0.2959128709308 0.288340047865337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.428895459475064 0.585584671920192 0.312103609672284 0.297583196344413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.438697449967338 0.593899997201521 0.328464961932005 0.316767218070789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.421963512297794 0.580032842735038 0.295735426002649 0.288575941192602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.424133818181288 0.583137208765799 0.297693837799364 0.29100496264402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.428316413780389 0.585132212449506 0.309810532209949 0.299361635620997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.469482879790488 0.614151324052044 0.397901780758379 0.373203965528716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.545184410939802 0.673320405135207 0.559621428721843 0.52278201238375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.371673584783564 0.456991019401554 0.0684026973203553 0.0691453709045925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370506611538258 0.456432617726256 0.0687888382674038 0.0689563351765706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370706257618145 0.458309917932329 0.0688652901175727 0.0701878305897715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.369639335513305 0.458919646166807 0.0693893426375599 0.0708956145578674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.373529754081456 0.465742384884586 0.0789248879110703 0.0794433529379028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.379557590051437 0.477104627194572 0.0952351467847472 0.0941641145112514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370194398676006 0.456663342057437 0.071380136169968 0.0700390601348002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.370400577029905 0.461151685440697 0.0721130266973178 0.0731730585762122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.372628656914269 0.4677086507793 0.0832509667932139 0.0808564363184395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.404849316193564 0.511848108964439 0.156690827057114 0.153947438115079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.48316251521294 0.591463529073518 0.318555995179931 0.291968327174578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.356933674854785 0.489174292200755 0.0622393827748839 0.0619171842936745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.35818735993991 0.490881784072052 0.0625297083810278 0.0617668368031291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.357788076008274 0.491079621751465 0.0627467357879481 0.0620910484203722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358494777734207 0.492285941707693 0.0637573813667269 0.063181961376935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.360693500427589 0.497148933612645 0.072348338039298 0.0710144270593062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.363844707385443 0.502914957881533 0.0869223285632567 0.0871078545908716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.355564651353824 0.489658271146648 0.063501788037134 0.0637053116915651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.358625042726825 0.493660028786637 0.0658820098808931 0.0655287846136955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.35904485843837 0.496878732488682 0.0752663041010159 0.0732472388639746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.39940840168903 0.546308801395527 0.1632221353913 0.153003237145527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.479010309964713 0.6225839163422 0.335829578522183 0.294401915729512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.541212250359186 0.674719026292178 0.0619111278235238 0.0613732154504253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.540791013234018 0.674832774943752 0.0623267721471626 0.0617856257903775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.539966606065653 0.673933261738546 0.0627840846994231 0.0625685882811808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.540287187192521 0.673477655511612 0.0635046732779696 0.0633228891501363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.539469852226617 0.673251882166163 0.0699737680949357 0.0706455277227232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.54134270125207 0.677038141447915 0.0796682764837457 0.0803372286136121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.541157761845485 0.674721909091988 0.0636074303519485 0.0627888659333821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.541781708628192 0.675646802160107 0.066727634878501 0.0659055944755632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.544031103540197 0.681273464097378 0.0735035236050023 0.0750162574352522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564906216964163 0.706734227440833 0.115240269930925 0.122568459953459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.584527931036793 0.729124993912135 0.192957928395844 0.192829821741996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.623343363922923 0.663532701498285 0.208818732180565 0.221684566850552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.623437749473959 0.663370467269984 0.210394104147423 0.22178695223352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.623748589200955 0.662178553983176 0.211659198981698 0.22324512491341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.621167181442139 0.660224303657306 0.211780569757658 0.222509466717159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.624593560177048 0.664232125863806 0.213591298038725 0.224255675650104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.624116758657964 0.667601113060759 0.217866462332944 0.234643182176229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.626152729109339 0.663078628653691 0.212153708986734 0.22029821268843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.623611077518696 0.659974327871752 0.214767809049724 0.220869824842248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.629440508210678 0.66363867839399 0.222119378494138 0.222534219527097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.63724303462298 0.678721813766929 0.252900584441248 0.25559347648522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.655327001002481 0.703012418168884 0.324407122748439 0.335436459472771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.533024357478809 0.688398762930438 0.0764053770067169 0.0759480563168677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.534893209488147 0.689685125048135 0.0761660763095703 0.076144571945393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.535081797884991 0.690313729159565 0.0765107074590643 0.076152572731923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.533732037560117 0.689298728674945 0.0777080815350308 0.0765166403599687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.534706828665857 0.702934923755224 0.0819301531302265 0.0871991853142613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.535864104510147 0.710775164956123 0.0900795787672045 0.0985754886443434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.532178219126565 0.69335932448202 0.0808154645554243 0.0795020533647735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.533859674879116 0.696432319076934 0.0826243369454039 0.0813692539013317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.531501355145035 0.695741857223944 0.0896410168208039 0.086845325168767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.537166686948071 0.714512893988332 0.134351411982176 0.126643274389741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.557788857189938 0.73087933697794 0.212676764064093 0.19568475972375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524818529678987 0.695256029315199 0.0669284596586079 0.0662648448891918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.526517357750204 0.69706442330269 0.0666400227148973 0.0662540157027971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.528076207874008 0.700824631694133 0.0672908339402549 0.0665330958219388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.526858181983632 0.702429591452273 0.0684479191264715 0.0671464143970602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.522695039029697 0.704378163819108 0.0746948997457956 0.0730414064768179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.516613192193101 0.699371884107824 0.0806653319729586 0.0802935819041919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.527779861939626 0.700247560215162 0.0685957693867168 0.0683093094908108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524041755415116 0.699116584475201 0.0722916626750018 0.0709275308263756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.524736953580702 0.705156765727197 0.0784474303234916 0.0763070592369267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.522063715366382 0.711847004689559 0.116381508571326 0.111785258506311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.543763972339139 0.740696725514128 0.191849147481496 0.18337929551914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.537508933108705 0.671705410605859 0.0587184753638961 0.0573793994032024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.536927340027512 0.670097833140229 0.0589577946901233 0.0574085787131214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.536800730571931 0.670183381550544 0.059408132952189 0.0576263587583987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.537630601548288 0.674372986555162 0.0610552485730037 0.058656396275757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.533429000407499 0.67283732569211 0.0673389864839775 0.0648126852960324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.529563145405062 0.676120101655614 0.0774851341715749 0.0764338681692361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.535914176614994 0.671389227360391 0.0611401480879084 0.0591775143383982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.533915106146659 0.672469535094474 0.0640370216498805 0.0612730568015864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.53447526524956 0.675516081540718 0.0671485823913055 0.0647916659904094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.53603845946302 0.689493859032606 0.111712319778667 0.110491372728699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.563554579409788 0.71708642833608 0.178663109209399 0.176199990947195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.4966133745951 0.846195865063374 0.249902316015152 0.237318593111462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495694536935411 0.845053889792713 0.248499100863519 0.237804871307349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.495378008982235 0.843853934284762 0.249718068570909 0.238414522052347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.493895585056775 0.844951905331151 0.247859018610464 0.240435629509019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.496766655632574 0.847248084575102 0.252997844224809 0.246753992978021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.496674821592866 0.845877388956849 0.258475217521693 0.251199466299306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.493144548664893 0.84578126306401 0.248536776617305 0.238079591547574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.494904049321739 0.846925832703592 0.248383601333458 0.238950468654844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.494312589514493 0.842832786900523 0.250872508778625 0.239185583387635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.512111263902672 0.851476976363712 0.279519000100071 0.263989834106361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.541880745965162 0.859726258737937 0.336353225255083 0.32098941111276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.577976106182283 0.703878240288063 0.0664062764452993 0.0657658788204273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.577324485193445 0.706105200078427 0.0663836829667068 0.0672093802419768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.576905324435642 0.706007177533016 0.0669778208843438 0.0668849688542317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.576997456136378 0.707409283033996 0.0673555961990007 0.0685386119965003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.577572912048921 0.712164805285768 0.0734330324771796 0.0740947050216289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.579590598494692 0.720153149806307 0.0835409371250527 0.0835423856596564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.576408459667633 0.70537613472386 0.0684429073494153 0.0679478749916061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.572348040925904 0.704856043405606 0.069998704110608 0.0695569600929035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.573831999494093 0.711526528250486 0.0763104233748122 0.0744986978398146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.568894755493104 0.724496489904029 0.124168870732327 0.123787033953111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.588572904121222 0.754739036923502 0.205784537829511 0.206648799376342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.501953995299461 0.746508720088588 0.117644686575956 0.11804453071646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.50127774113022 0.746316999852851 0.118328302296503 0.118918794348599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.501214040863486 0.74675746125921 0.118084253313286 0.119355283713776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.502360353142963 0.747916777637831 0.118405418610076 0.120122857291981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.500994696682607 0.748375996359774 0.124510770105206 0.125569931386565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.501916373596786 0.751467329939593 0.135163927214018 0.135108913253989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.501042784253595 0.745570951904341 0.119562280011185 0.119925101624963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.503059872742789 0.748933389319962 0.122461483872142 0.12319614918524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.503006173155983 0.749477829549361 0.130236461480695 0.127980797393349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.511911631409043 0.756589225629373 0.177988068712305 0.176017759802976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.539883226855268 0.774157958580611 0.255505386261401 0.247694244068611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.531094142368517 0.74293765956124 0.158147734025739 0.155069595114549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.530882896554557 0.743676152877694 0.158127432332041 0.154815867538542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.532175932964553 0.744761585375752 0.158768192870537 0.155305117055012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.533098477437939 0.745268680866335 0.159275425899472 0.155193578092347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.531445779965389 0.745524990603228 0.163056653031663 0.158657894147419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.534374570508475 0.747761520425966 0.171583399047777 0.163315099618157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.529479638177558 0.742112195291292 0.158690672655786 0.15402919086242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.529560851049704 0.741290617503046 0.159372389329406 0.154806004182286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.53029091322784 0.743573625610932 0.164986617143813 0.159100425065898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.538696074183202 0.749745424340466 0.212249506246214 0.19339251999882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.567226122508743 0.773756355997941 0.284108699183407 0.258151244215681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.511911007805284 0.779202376935616 0.158144959196646 0.154178676302242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.511674851121792 0.778790358869564 0.159126067542753 0.154019560968962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.512076329697319 0.779265252272877 0.159763693931216 0.154154271753517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.511647493443904 0.779825730394206 0.159919739483917 0.15422703208663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.511236847666258 0.784879279623448 0.162511378547639 0.158652977701946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.512007581525775 0.787725891398682 0.169448021661573 0.166167683080452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.510593845314684 0.778737275893624 0.158950833358111 0.154516501295046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.509986183920644 0.78023520801302 0.1608620027223 0.157126679836624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.50808409439653 0.783812336754684 0.164354319746821 0.162680549641358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.513907477214629 0.784729448379111 0.199233935787776 0.189152889965491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.535146803286124 0.791883556025434 0.260757823880138 0.251710139658161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38038808191953 1.93563658208184 0.420303709653143 0.392480256813981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38537522340896 1.93905376534823 0.42179896051822 0.389952279172528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37947205229024 1.93290238894785 0.425689074605826 0.387782573491341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38060821933249 1.92451415269607 0.433451183923072 0.380789374592947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38363796154271 1.94344073326577 0.458163144034862 0.400391952210878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36877977243501 1.94547197750276 0.476051121951852 0.44014264404995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36911794834493 1.92606231225387 0.423555761706192 0.387047437085887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36052068570067 1.91650079488111 0.431510719495406 0.387156409698021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38512985429708 1.95118087053384 0.444472541549936 0.418343628441503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36301673851159 1.97938624913908 0.564276304198024 0.571096943741392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36602638714909 2.03674379097184 0.805465808732453 0.882184955239726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48140946981586 1.9268967813301 0.686423308870484 0.624960804671401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48528340598983 1.93980412853627 0.676259763535574 0.622031413268556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48740122381697 1.93907603229998 0.681187585451729 0.620411976074099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48000688174892 1.93383935266092 0.68975919817782 0.618261801915974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48367081535451 1.95134147750515 0.708525869136733 0.644030836790325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48050532037386 1.96658671816049 0.743372876420946 0.693530968510019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47234079848616 1.932822073642 0.691565914375187 0.629567312616486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.45745787474587 1.92621137121971 0.695751341482516 0.627346447301879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4635033107028 1.93918052878685 0.708653674499515 0.645082493959369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48138563308647 2.00402935383411 0.853464902817769 0.834542144317545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51182344893843 2.07729009507872 1.10291471323501 1.14940175052469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.43128670663534 2.02273793117837 0.359354384934178 0.35013901046985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42962995953565 2.02304041853721 0.362601611521816 0.345979512132635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42477616252242 2.0333927946951 0.366080643413225 0.382119138040784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4215527259075 2.03134440954762 0.369672614272701 0.342248408111144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41235361907957 2.04924206058115 0.387704275414981 0.359737915126089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38697653592614 2.06150249403364 0.43322496898306 0.421272060063623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42832640522666 2.04670175786441 0.363380070691955 0.396081930673043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41277538868927 2.03774139459699 0.370141576885385 0.402895492301497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39480367785438 2.06138823038564 0.41164864730177 0.465132725577004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36102372731343 2.08029365924334 0.566153987836499 0.539686668447486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3573042952838 2.20848191381269 0.847391647044997 0.836813608135651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42173090858742 2.01269939894273 0.35766314459297 0.356737363179778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41114021907977 2.00564794851021 0.359707473320056 0.354555392013216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39653007067652 1.99861794002138 0.377521341124246 0.352855044606474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39146407716262 2.00583688350666 0.377714739559707 0.359389793611538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3639697774321 2.00023017616656 0.417973405607265 0.378433266084439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32889043668604 2.00748643330226 0.458170578414227 0.405161541212616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39162295675195 1.99272141074492 0.362561592080737 0.362021737143986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37683197278752 1.99771332981019 0.374491198598947 0.366526377632452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35504933302922 2.01418756149155 0.382747237450765 0.394815014661055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.28095080080875 2.08711252549119 0.532839594980149 0.520767174215912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.2550516277286 2.13734126262569 0.812933188333016 0.741801724255612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58978133927132 2.20311923868935 0.531925870771973 0.536589602612625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58808527849244 2.20401135250518 0.532847202088234 0.536290527480013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58018829809855 2.20176281597592 0.539910770003643 0.536926013807733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.5822456759416 2.20740616698852 0.551099106346025 0.543298796269684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59340451245301 2.24361115920459 0.589425690228852 0.566518541347877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59047392588757 2.2674616876324 0.63639338031819 0.646007054036336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.59208492431279 2.2156902142987 0.542295290669833 0.542603101943997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.58593115080275 2.22804782999843 0.562511628964293 0.562085980317479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56880346165007 2.22399903694506 0.627657793938766 0.576801046688502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.57658110530993 2.28313242452863 0.862060460041076 0.798269400110874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.56673598067103 2.33154108102759 1.25183101903606 1.16860176344783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23708356519824 2.83702331690443 1.39658764814681 1.21665552005424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23466657455123 2.83410768645538 1.39697883686791 1.22363591047596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23893514432145 2.83779213631606 1.41828284253658 1.2260561718897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23504207443844 2.83054741920593 1.42699558275144 1.22983660460117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23949104479363 2.82548414710404 1.50211725423118 1.24097413685093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23462993368746 2.83339601351799 1.52193351048537 1.30511558416878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.23632139860631 2.82871285355143 1.44215903977154 1.21663509626928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.22320933082755 2.80857966825994 1.46775062552557 1.23393398110346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.21788998252991 2.80142082537573 1.46654929292228 1.25397132341621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.22349312098239 2.77868418076684 1.61148822514017 1.43745330708209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.29491225391598 2.7966214371766 1.92109214973267 1.7881499309723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67331853215906 2.24720211133153 0.586182088403407 0.575768642251306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66471025041558 2.24191709303701 0.587480652665311 0.580980554558058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6617318261099 2.2424099508986 0.590520498525742 0.5781323233204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66274288328871 2.24670814512624 0.596775700471281 0.581551553018464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65021504105875 2.24783155158612 0.626885659329354 0.601937090432292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63074348051663 2.26795100695896 0.681992890660602 0.65432574221676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66174637470317 2.24277412445564 0.597087390207857 0.573536605304997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65652676208107 2.25087741167432 0.608629527863909 0.583965908011984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64029095066379 2.25491789807319 0.681685735760438 0.614407435531374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.60789655169015 2.30697668071362 0.895194873683363 0.846076725714389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6361836094932 2.40475239104506 1.3672686923624 1.26068523721217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36031796723359 1.91276241933275 0.582586351478615 0.537943215148792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35943550740403 1.91508760601294 0.582628901342447 0.537124966158963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.36204476957122 1.91956599551587 0.583971333393913 0.537057774254807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35909452649463 1.92261001574538 0.586795999506025 0.551913272251632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35346911555539 1.92131223390882 0.601707786006061 0.569975379767793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.3430901898751 1.93015155741054 0.624647367611246 0.600599842594566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.35372072744224 1.91514779663325 0.578162099956533 0.539269074968406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.34926786424978 1.9189464957763 0.577393999791833 0.554475900599747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33179380300082 1.92105450032692 0.599110687559577 0.57728205873115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.32331953214058 1.94599276121398 0.768303301192017 0.732510533029721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.33712341584338 1.97976886980612 0.950581542653855 0.879372279036169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42114402372355 2.26575788208059 1.21677157777402 0.946504717672496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42346264197195 2.27553692520454 1.21473134519732 0.94990748859122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42137124750483 2.27329323950362 1.2122569684805 0.950583083734474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41700400675221 2.27086579766288 1.20882373945706 0.951210440024232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40212881161413 2.28138030101464 1.22007552318023 0.975698824023414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39080813684447 2.29136862149008 1.2268084461664 1.01794646224904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42065377261905 2.27486222440097 1.21834389867638 0.964326968324691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.42805753457737 2.28767045818363 1.21724860054086 0.954693865519789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.41704017388164 2.28397967045589 1.21550437414112 0.94487894177506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39495458446137 2.32671927186992 1.29443851290194 1.10878132945755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.38647770830243 2.33486399204736 1.57236327169855 1.44693258051616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40251250478959 2.4450366438314 0.991465129848514 1.12671685352454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40324901471066 2.45159023662701 1.00046687920089 1.1290289941332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40239488874013 2.45041718988135 1.00351870220523 1.13004178604502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40942596465448 2.45024288549953 1.01706372155402 1.1232882388097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40829487032592 2.45042427023949 1.06234459031268 1.13238428483677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.40697247866236 2.46503404485337 1.07265197430141 1.15843324709107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4060320940998 2.45035737306744 1.00544969692071 1.12713099694537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4095233903193 2.45513027684767 1.01855005218012 1.13208008992428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4089221777278 2.45813586647864 1.09471897340962 1.12842824216693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.37786059684289 2.4615141964123 1.26576195431333 1.29833439283672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.39431180050605 2.49896783401324 1.59554718899867 1.5700474541569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.585852911232256 0.690951529342992 0.120740470792263 0.114985210189012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.586679278599883 0.693713501728634 0.120193637932744 0.116721415616341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.583413449864891 0.691875235520527 0.121821158658373 0.116675528889185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.586523787753276 0.691924084054944 0.128614938771375 0.119601995390673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.592025187135288 0.700516563958653 0.159983548221525 0.147449711341197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.608488028585578 0.720527245801344 0.221832731426411 0.210068245069162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.585554701917374 0.69513643157294 0.121337842635911 0.120049637071823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.589846787848837 0.701222035285349 0.130702465447933 0.123700901638674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.599520576744932 0.71350146323075 0.164698503300181 0.15197896789735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.695522199965214 0.828051244005165 0.495551943856533 0.46399009929038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.898738381111358 1.069048861291 1.27479477409222 1.09324916955908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564000869354972 0.745661482413771 0.176327956007955 0.148397869250223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.566080386916239 0.746934111861349 0.17769308270903 0.14949104625783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.560158503048711 0.739500735271584 0.174839215320699 0.147928806109686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.559126123807505 0.735793440457041 0.176029090419248 0.15520670309192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.560303889272511 0.740410027716577 0.206054885228341 0.184476703667443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.570893197930553 0.775046355561743 0.266840937550678 0.243055699059489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.554973711750956 0.737734244183736 0.17318827164005 0.15408752264916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.562415839247633 0.737009790304382 0.184955240028244 0.162207843079178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.569565660297534 0.745717665618818 0.222363803377957 0.194314286325387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.66857537459083 0.87115915399657 0.562316009203039 0.494005743393501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.870425398101002 1.07966096923974 1.33962287815325 1.10692823417291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.585400397829924 0.725477803652389 0.106611803970817 0.114600401638974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.587788984029928 0.725998479150611 0.105876937013772 0.114894449817616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.588052095777483 0.727914068074423 0.105797906688307 0.115414382741421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.590274415740415 0.734012791747305 0.109755373861462 0.116770573216248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.593224928520133 0.747625456874343 0.15004235730939 0.157834639848058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.609183654982282 0.7740093937135 0.228775913798711 0.23295309436333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.590030529443257 0.730577365034591 0.11235043444627 0.11776572503111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.594728443896723 0.7353446229059 0.126140019767563 0.129572028001216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.598536316235655 0.75086693389845 0.169121760285152 0.168804575034957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.720314671077849 0.898863174768049 0.582428357867297 0.549906680206945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.956868827398363 1.16938961286232 1.58070008190225 1.32387718481237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.522445053032453 0.739363178075948 0.0949756173525224 0.0884126758195691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.519548871104395 0.731612194313057 0.0971341849091431 0.0860666393921301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.51942861596719 0.731930939988024 0.0994476227210766 0.0879653712125521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.517776275770649 0.733033941505651 0.101880545480669 0.0908875865800408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.523939204747777 0.754333897104534 0.132770131612563 0.118373053898018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.530318583320477 0.783282337559705 0.184047139730722 0.172536416852913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.523654849750145 0.7376766678793 0.097668625383899 0.0911776175290944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.526968075647694 0.746184265191778 0.104292442538652 0.0990620869403418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.538057218591555 0.769656428821144 0.133208218980154 0.129514823358814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.630469517423866 0.920209651178633 0.477514322559927 0.43941764144569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.829931334279942 1.17272757892264 1.29015913624135 1.05535091488735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.57374999080275 0.760660898546495 0.267597543241982 0.491686842396065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.574715812007121 0.761897404496263 0.268400046987986 0.492142848636194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.579616743041971 0.764876171129828 0.27270798457051 0.496025671296597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.577809095429552 0.762660879494739 0.276198092161402 0.498090276715359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.571982336930927 0.761527355497021 0.296872221489091 0.518566854983874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.584288824876881 0.785643908914495 0.35092959570892 0.558053314794052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.577745772036558 0.763093917677296 0.271252393040142 0.491966242289728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.578394107869719 0.759838442606879 0.281286277807157 0.497813550125926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.590590546831412 0.770315632284761 0.312300461046892 0.529770370804107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.64721305121693 0.853133291620239 0.619561777945979 0.828098890630323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.84053188541073 1.06431309300217 1.40426789013192 1.43573159048652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.5767307066923 0.906776924511814 0.360126715003743 0.822954216009422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.580000790654682 0.906091315946666 0.364062075100104 0.822778130537784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.582668740677121 0.906082356937562 0.369214343597471 0.820044518353007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.581727063782618 0.902518141138004 0.369941978191318 0.821800333383047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.590282096746233 0.907049494989443 0.392615146194001 0.845139298822639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.611760386476816 0.925248496469163 0.454666950245854 0.897115533372167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.58217792079275 0.910995570578809 0.361226559379751 0.827140653884596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.58398445120153 0.909157385389777 0.373533594225504 0.829221217631638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.59434261821855 0.917062715126476 0.408083477203708 0.863250165567495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.720585597285834 1.00591685722676 0.804001824764463 1.17748588083693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.940707979281171 1.21385996956298 1.67007394218383 1.85477970398198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.471112565824384 0.934967911937147 0.241126110539081 0.200725068151827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.470054030824694 0.937774827392893 0.238189790891564 0.20028786701217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.468213663147582 0.931385540735034 0.237083869504489 0.199039271220498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.466101608310483 0.931437366362509 0.239774374351905 0.20435820583835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.46956796930153 0.942157298813998 0.274684582721597 0.22778909055279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.475208656599009 0.965008908141911 0.329743470679386 0.271958273889217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.475255486752726 0.928946647736353 0.258133275870129 0.199273848252254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.482482446166479 0.927686048000555 0.269454047738107 0.206897939987267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.474125746245959 0.946788805098691 0.303146149260111 0.22915808459388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.61657468679879 1.09888225193041 0.764644071240907 0.551600499899858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.86367323185347 1.3132364329474 1.88720826667269 1.18165464456324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.645204472873792 0.804406727710493 0.520409441073606 0.303441736652845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.643775028453562 0.801516321746244 0.521332631799985 0.302171224475321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.644242389168158 0.801897148143441 0.523818653534424 0.305398013776363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.648578574433924 0.801037925132809 0.526450852586158 0.306603609792831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.643590919741478 0.800601183018004 0.547291329137576 0.334105111529768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.657275464552816 0.824737264664791 0.594807817708821 0.393438447607509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.645133496692087 0.800770824920966 0.526703397257038 0.30998976922815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.649118236295295 0.801287056845054 0.543453947446107 0.317518310208427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.658278936020909 0.808376045650243 0.575132224244956 0.33902641006802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.756569614749665 0.918430774235515 0.92486498112201 0.671816317745196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.949303055290642 1.12030876990744 1.72405171497595 1.31201051121232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.568248918500533 0.766220909041062 0.261968348827139 0.243839137206137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.566061674397994 0.762969198019505 0.262400964468364 0.244072791827523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.565117993750817 0.761139644012991 0.261889104229059 0.244033465928705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.564925973411993 0.762668654540974 0.262879651378385 0.247550217207193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.571049513943096 0.764284512533964 0.29609956315518 0.270443107025627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.599993596890488 0.783992303490705 0.357040093128534 0.334558385690043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.560332936491879 0.756000020043144 0.261994568178031 0.243723568287736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.568608329716236 0.765182378729147 0.269774586369554 0.249407790930996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.577239542898776 0.778134274584711 0.297600716195234 0.278318194534114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.700614896946764 0.864579711280591 0.648022509649117 0.574206018363391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.895648323252611 1.06412155988811 1.39527015667436 1.21589376658572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.423722200636843 1.25108611748515 0.455307310431978 0.282268489933518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.424626220351941 1.25218733037923 0.455827240269191 0.283273737842583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.424380694435054 1.25383818672518 0.45591042470999 0.283893233852473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.422885594962446 1.25804084716918 0.457834722994644 0.286824252298131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.441881308612062 1.25695586488107 0.49546248866412 0.314081610529205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.475257924891354 1.25695006546727 0.57971763114503 0.367667527710978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.423123594474386 1.25478111269047 0.451512613181884 0.286226486970146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.42776605698877 1.25435335336474 0.461740379448074 0.289105394402471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.44769806377738 1.25475270257377 0.514315867319325 0.311407965954716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.627761729684358 1.26140414396603 0.995863558932041 0.587355773173661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.870031929246428 1.40281687082976 2.01879160807724 1.18791628109418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.829720406427962 1.08814529970448 0.137895500471488 0.146415470047139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.828238243785305 1.08458210461917 0.138943359557804 0.146604831331301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.830056517147883 1.08635212606318 0.139834092223266 0.146935508326484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.831940474842919 1.0869177364105 0.142296254075246 0.148670123980151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.842297235193728 1.09757359926055 0.157952818220833 0.168660490927658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.839642089138246 1.09576325842609 0.196475646488176 0.207268121076315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.83222944051805 1.08826901981799 0.14009959216917 0.148546419509625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835566559396493 1.08770819246787 0.145608258939477 0.150633154839482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.826263181790803 1.07790387190721 0.157876484098588 0.168948810386016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.860117956628218 1.10525500567314 0.332522343773243 0.352015609321219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.938198300073071 1.18588933581999 0.69502859357796 0.700198353264338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.815518912373586 1.09174296525773 0.171816778670817 0.173568342365573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.813028965057301 1.08489119532601 0.173328479531024 0.173692892406594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817261065515243 1.08715905279571 0.17453011254295 0.177081465223223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817697510981586 1.08875857756834 0.177430012149653 0.179323795968164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.821708120177306 1.09481221583064 0.194404303066621 0.194927812679727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818686413819779 1.09865797037472 0.223147128820503 0.225286420706661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.809608973733311 1.08503803206351 0.174681101194829 0.179688389915694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.811780153593388 1.08547024232889 0.179477743373614 0.184416329376715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817235379956273 1.09251224745168 0.194957605776824 0.197978848680265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.833286821450747 1.12790796496921 0.367765853171134 0.367577335635868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.8993836052344 1.20439006170266 0.743814871216637 0.712398130397419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835337705767161 1.09389677987153 0.168380233471227 0.271339053967425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835570947632683 1.09481338145908 0.16797041795607 0.270903607167116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.838311606041745 1.09686911603834 0.16932844216693 0.271709972454581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.839321094131001 1.09941350219377 0.170612427647484 0.272567894519618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.840255799171619 1.10275142095376 0.190634049648836 0.286347399421366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.83817927376372 1.10913142696724 0.227831744091257 0.318785701444483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835622314440954 1.09644109708923 0.169565390620683 0.273181187756709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.833904254126432 1.0979815653141 0.175826275569978 0.278657045197723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.832017606685692 1.10257458759642 0.190356223098341 0.291372077970067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.832944125905437 1.12898809724383 0.354412521820007 0.465756263419806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.898304150069995 1.19975029622204 0.717317602043602 0.795739354224427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.920634811509877 1.21204940957277 0.162851700420807 0.181921074953056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.918714913249664 1.2121738728772 0.163436291463992 0.179826455067786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.92119981644082 1.21288267021868 0.165327104213118 0.181188247267076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.914157165516132 1.20779884185976 0.165091593714218 0.181861808989816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.923871647617852 1.22057747766376 0.190360509894936 0.204360581374218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.91296391618406 1.22695144778286 0.237431992443437 0.256374747984883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.914374265630915 1.20916836639542 0.168571880846878 0.181874320743642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.914252887419625 1.20932347867997 0.170088664825746 0.185411929945685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.913014444432195 1.21029129061363 0.196877953984455 0.208625599437503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.940946097555683 1.26475168585933 0.46135957311079 0.45506751353053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.03486757438581 1.36278487637681 0.99388526095929 0.932678690316049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.821343803424836 1.14689530984793 0.461116263849898 0.505865756222825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.823022735271956 1.14746755190971 0.461503962373438 0.504314431859772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.822985212802925 1.14758678044726 0.461482132862364 0.50504156580951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.826126914471795 1.15044504366074 0.463422007507842 0.509275231169923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.830513489284214 1.15128145791866 0.479590353622557 0.521833490361122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.834982901413804 1.15548550745323 0.507551518790894 0.546829340848638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.826248968869378 1.1507314818413 0.466229034294679 0.50503349031692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.825940196185052 1.15097004098659 0.468351990364954 0.50917809933471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.832711921132991 1.15671181574185 0.481413698304784 0.525911149542056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.866022411153551 1.17034520913564 0.64340960510915 0.689334017002794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.953725658674407 1.24314496310404 0.994788106278029 1.02928676796694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.805423212785525 1.20070470147631 0.261616359459307 0.23713870590096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.804860883957064 1.20144780284769 0.261864464620588 0.237706459217211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.80472678416799 1.20371164864417 0.262456270958793 0.236836190590645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.803978469537061 1.20377168812291 0.263879088854061 0.237558994335483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.804349102224449 1.20586318703392 0.284433884324185 0.258664428877263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.802065574205084 1.20799972648696 0.331808926380653 0.29896056641157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.80765069434315 1.20770105607885 0.261680942956883 0.241015198204521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.803933064518567 1.20673644394145 0.266687078614419 0.245969401104531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.799171569028101 1.20924323953443 0.291061708831149 0.272405138501118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.835422253976116 1.27044325571125 0.543193877917034 0.502293414832529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.930955803101991 1.38032466961538 1.03911931699796 0.940436397598114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.846232694812706 1.25362099773098 0.416406396028693 0.519961255452099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.848033342236271 1.25534697063383 0.418878390015066 0.518515667589726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.849806755188531 1.25737889556583 0.41906970273798 0.518357278251737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.841865013524851 1.25456374890342 0.42067766327688 0.520345665184614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818731596254362 1.24349245508752 0.441236284469107 0.541603310892197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.814698646806662 1.24775813807621 0.494392315393557 0.5803574560974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.839672663689338 1.25127050870498 0.416750600081329 0.51856841102521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.831934600305612 1.24594597355309 0.422453195799035 0.526385306198295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.825139054999566 1.25166554350716 0.44594859354719 0.547684054348019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.839254189592947 1.29709466683485 0.72275938175705 0.758607112381993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.943266493039198 1.42557466098893 1.31163812126669 1.21228050316862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81732866767876 1.07319758493036 0.107756815313935 0.154021686714329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.818898255971122 1.07569939784756 0.109274812979772 0.15393269751523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817035853313645 1.0741347560947 0.109232270424978 0.154293836840533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.820416604111827 1.07769592948856 0.109993599506884 0.156175234219973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.804253444686449 1.06887677931482 0.126146930685414 0.17334938871734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.785892428523107 1.06619617265562 0.15570161020346 0.207500179656422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.817292197923328 1.07350307927752 0.109511554005946 0.15431300531909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.811835731532168 1.06701838142922 0.11733672646343 0.159078731588324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.81607084342831 1.07772384943651 0.133124744019282 0.17452430287406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.789629606427221 1.10149499004234 0.307390973188554 0.353761926012421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.855124788062628 1.18953303417697 0.654277515844528 0.680573241886009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.798872722846029 1.10880806805964 0.220626274617943 0.21506376751648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797642316598704 1.10724575074169 0.220403567972831 0.215248395329629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.799408059654532 1.11014625411041 0.218960369796202 0.215318929079541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.801489146379589 1.11219652235793 0.221119296886677 0.219832306755745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.802300642314524 1.11146221158936 0.238591831352907 0.234727865269815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.811305863855461 1.11981662763795 0.270332275262096 0.259401455777862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.798271648068176 1.10785995602394 0.220786527088219 0.215212252011149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.797443926578454 1.1056105587145 0.224523504743358 0.217965592314922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.804513935699981 1.11570422564254 0.241334461858047 0.22736105611566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.834867865022508 1.13612814495954 0.411880308654839 0.392224096707939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.923716484559256 1.19749872632792 0.7495091048648 0.709661463197906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.796983066033466 1.63122826255229 0.445679892990623 0.476571864722438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.798983866556971 1.63403070468007 0.445017636369286 0.477767294931113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.793661312581746 1.62893847292385 0.447271947780233 0.478075788194099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.796769179966469 1.63212815963863 0.45178798677929 0.481524031763005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.798900550507016 1.65375138785366 0.481338951357932 0.513094677284851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.792400519944539 1.67669859325853 0.562276602836111 0.577592724784909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.800440786220179 1.63588644985431 0.447337345986892 0.47822824742449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.800599638278308 1.64012304381107 0.46464797443458 0.47895242652587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.794359175694235 1.65870252395659 0.493327871860219 0.51088046035971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 0.857423635698166 1.76319282254621 0.996832556023981 0.869043310275445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.06638405699437 1.92721213877336 2.14295248994366 1.64927850047019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64478331821378 2.25912932883782 0.687445776830165 0.613175057396302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64199620391067 2.25614053263362 0.690749530148834 0.608260136378964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65254213382842 2.26652471165674 0.690545461614198 0.608524666925613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64555016712797 2.26489412127431 0.699985838798383 0.60688190179388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64254582813004 2.25004057633692 0.726264968989995 0.621228192873595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65464059682485 2.26356741971659 0.741236679076688 0.652653051485914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64303306213561 2.26367121612178 0.682987505793944 0.610496453547056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63855715234472 2.26696792139563 0.688326608257553 0.619716397454963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62891206702119 2.25461458532764 0.725118503283424 0.617461970936322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64199647157175 2.27622049061132 0.900762439961569 0.852719250692976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63117063867807 2.27913261881725 1.22595647612244 1.23490743730102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01183861517135 2.63189981085052 0.902997755436651 0.987457287320883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00215837316245 2.6206790037306 0.900169748382543 0.979845498333837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99581451772581 2.61275847614157 0.906431041522997 0.981813272775182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00000306282601 2.61675514605454 0.91004531251843 0.970987899919608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01761917878157 2.63290389083705 0.955066146448576 1.02635986916283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03511406759412 2.65064459748315 1.0174305626073 1.06249535334049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01256461103352 2.63037220413117 0.915540900972368 0.973077465073247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00421355492415 2.61463584354986 0.937296116807135 0.979713963284472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.99046743279348 2.59856719550907 0.963749735954731 1.00720232798702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00708699989571 2.60105884314015 1.20045501000864 1.24491462118882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.01612308018916 2.61518577255008 1.78874075916179 1.80521602494948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.0215242468212 3.96204839216188 0.978917507074705 0.803877487111258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00612627772008 3.91136226294839 0.995962501902501 0.782133900006239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.9952961990684 3.90035235283603 0.993158100308647 0.787430347086595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.05391349120322 4.04717623766749 0.923107206866812 0.731126669498274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.10543143442126 4.12082324890344 0.983338680989617 0.860409506137789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.26503682661884 4.30779601575738 1.0466025311183 1.06563246308216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.05947143221446 4.08287002699334 0.900033972932403 0.764741649251884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98930429678436 3.99693140339783 0.964768868624134 0.787307683645645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.08904793223917 4.13462447081356 0.985837455743851 0.937932097062533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.09366684063763 3.93287983879109 1.73232918925619 1.57349934046143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.27409738537853 4.09982510373083 3.54281672416624 3.59571916861578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.77336229848271 2.1792710614596 0.470150482699145 0.244319293008386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74664961433118 2.15745933909001 0.47675617526948 0.239423902491407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76021073502045 2.16982547038976 0.467680515755898 0.231904351973745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7659628130263 2.1835226277726 0.47455084179689 0.23972525382985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76741191981027 2.19371003935527 0.468538364490017 0.276170819082799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75310284663835 2.1986351772863 0.460328766511411 0.321817905776687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74635331448715 2.16165930770186 0.48699659469443 0.236591635637391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74517090794325 2.15727883599541 0.491372160176768 0.246345068959222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75994639064832 2.16867125051119 0.504792497964395 0.257680942622497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73674816519018 2.17796245935007 0.659736879190265 0.427710737756224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.7300474477358 2.23908989724895 1.03446745207534 0.816157432520068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76156979706012 2.33162882062251 0.772503452803422 0.744470480524015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76330082334824 2.33463987605189 0.775433054745447 0.74790654457601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76485362201621 2.33659577239488 0.773007571720854 0.747854505651119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76342806027718 2.3367194196575 0.767932417241018 0.747868785620896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.74481409135355 2.31528862198792 0.790235209422444 0.767436069880735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73800987568924 2.31255911826351 0.807433650292319 0.796982458999994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76535276008398 2.33638438099419 0.783058342918311 0.744196692517148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.76033419480495 2.33450772391301 0.778239708973089 0.751759317721374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75987346826845 2.32665578728012 0.794916214051163 0.768580225490882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.75800734384566 2.32195026467642 0.952481146308002 0.930961291901129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.73831967224208 2.31419872784724 1.26091349442461 1.27755127491737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48523129793056 2.55332025912601 1.31635735070924 1.14431207272929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48429815359545 2.55297104093878 1.31879820074158 1.14645551052268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48700614304434 2.55720496524368 1.31715936592303 1.1467854040253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4858458480533 2.55523080434853 1.31741889034407 1.15020897262895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.47855774462766 2.55801432332714 1.32409492163877 1.16672777839382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4761553856476 2.55536213907589 1.36181230649881 1.20240674928239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.4833880451033 2.54892221677031 1.32295352314007 1.1436140865474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48339979864449 2.55574781619487 1.3201137378951 1.15050477019045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.48789372618528 2.55346184498412 1.33530747991283 1.15379356306356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.49594614435114 2.5734531213552 1.49619252331565 1.29398233837512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.51299310211607 2.60162545771627 1.83273080277157 1.61897240998638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64984301555697 2.23624881882668 0.58654467672446 0.594816646469304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.65180844280443 2.24090069427741 0.586652213602118 0.595002151927287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64424747395899 2.23427928517516 0.584518255091065 0.598810422297536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63819286665171 2.23574957206356 0.589246825701855 0.602481594097606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62832472217385 2.22741179596758 0.598572491206542 0.62153285453478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62699144978496 2.22665132930129 0.630210049180189 0.648217951966481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64423958869814 2.23584895507649 0.580798155562476 0.597873085287622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63920858004748 2.22907189661327 0.583535601955067 0.614481693006399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.6200904728797 2.21952897013276 0.593338795424278 0.628895059089415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.61907653468564 2.24121871765724 0.773238663653767 0.775003111297296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62295104934149 2.24526676946006 1.12019318992552 1.07698600799901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63969535398147 2.3037699768181 0.623524233767656 0.661015682027042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64219608863367 2.30594493015351 0.627899796805646 0.665337009228478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64776107842193 2.31349132587307 0.628496721408183 0.668204435897482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.64234905228552 2.30879474046 0.631224796906818 0.66246220474579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63484839218316 2.3021801183653 0.645275338636994 0.674970755694463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62876753756934 2.29638172747736 0.677206309035349 0.704448001633798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63014928112008 2.29801873203598 0.623404337822537 0.660439365589736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62677544832464 2.29307818188138 0.62031757230679 0.660495943803657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.63428703533351 2.29726370901888 0.635890879880147 0.677564057917699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62588384798259 2.30744329376531 0.816652719697402 0.841212095354248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.62538071461175 2.32671727194835 1.1737450217695 1.19804450910666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70387427216174 2.21095211861577 0.648563911262393 0.608661124319415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70579751829157 2.2120680305854 0.650234779438674 0.610155220833293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70911565757411 2.21350522567473 0.647218566974184 0.609183441523195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70481271946227 2.21095593533145 0.65236408090907 0.611056245840159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69967068058886 2.20647270535694 0.662919553968834 0.621778024082149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69905784284914 2.20735719648335 0.69579374928884 0.657574025538134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.70849981991066 2.21517127141836 0.64906409840615 0.608150445415046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69673788367332 2.20529019586826 0.654243300156267 0.616771237761421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.69174798531296 2.20185041293568 0.678782850320467 0.625515599534323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.67675759952322 2.1941617820805 0.82525927438212 0.802554774238788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.66430834905338 2.1893100345656 1.13984330118159 1.15571139624888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.02840779468157 2.67703312929864 0.475676081425566 0.567533412865784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03235129787646 2.66336259655103 0.472101689492257 0.613936973757148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03720058781256 2.67874682897915 0.478917388449551 0.612590439493018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.00226969484131 2.64323085294081 0.475882379867509 0.643312212233251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 1.98843001834018 2.6562401316948 0.502279222584034 0.701567328793932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03979610734953 2.68194890965007 0.543010697518547 0.715395725692875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03372667167837 2.65801303584815 0.478597167672744 0.619425096548419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.05619437295633 2.68461202466605 0.491947237944226 0.65339348121751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.03170744004898 2.66815878345199 0.437874479722174 0.675228939043956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.09721760140016 2.75727976173627 0.781151415055262 0.969696627971978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.02) 2.17590281960985 2.88811753419568 1.52309331449332 1.6573515632522 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0499860728375094 0.0491539152875876 0.000561759627605746 0.00041612749413196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.049685403180404 0.0485186379453877 0.000565623407203994 0.000431120846756685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0487093504826485 0.0476275906050377 0.000604402181736263 0.000480378272834702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0498782088706765 0.0484509959016859 0.000692659686046725 0.000583108973657327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0523739713892166 0.0506790995319738 0.00150421640182142 0.00139256758740006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0606257671133139 0.0595105797575893 0.00308947917393079 0.00298425321072579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0488821998127517 0.0478464669579914 0.000685855917821991 0.000515801866502685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0489974150974428 0.0479107637382794 0.00084292788602938 0.000715165410889462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0522137924019066 0.0514420279193748 0.00164374342385733 0.00166389692351887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0937057953521886 0.0940369198406827 0.0134100301926413 0.0132043031358352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145293538784081 0.143198055789086 0.0417749941141561 0.0367336390762571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0353681382741183 0.0428528224588729 0.000696398192753012 0.00224933035401271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0357030031756592 0.0429456032613554 0.000697377220073065 0.00220946441421672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0356813599815893 0.0431059695969474 0.000700172795673007 0.00220435037650579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.03586902013856 0.0436642724051627 0.000747814873087268 0.00228534741640862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0381179502178775 0.0463188670901266 0.00118056662559465 0.00288809037034865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0455293391738798 0.0525403844632135 0.00208297244353945 0.00400316863369744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0371359984790218 0.0444356304884145 0.000757832680578668 0.00224166042793347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0372037223708472 0.0444078808588186 0.000864215218872247 0.00243454958202099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0403784811439575 0.0477880769106189 0.00135659039871101 0.00312028481762102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0713519346404835 0.0776249843322008 0.00754086199590588 0.0108847176246944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.107686203978282 0.113264946722427 0.0217144012002864 0.0263721329570649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0681336943222143 0.0352029266385511 0.0110416896225938 0.000634944689255235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0676141518753669 0.0348334029652628 0.0109518943896403 0.000582230488655081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0673150632135296 0.0348678329931994 0.010823613173215 0.000550034454518759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0681216126824381 0.0361184319197661 0.0110163109854974 0.000628235266624625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0711701506970149 0.0377239779592576 0.0119552510218145 0.000952874147562828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0768006319985639 0.0440021728916827 0.012978353427988 0.00196403529589224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0685420123690805 0.0356776112300839 0.0110266902626685 0.000590821803004626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0683232008617264 0.0355119996385026 0.0110454463528755 0.000618091227308016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0700110934170863 0.0378793268856693 0.0113942942536372 0.00105624754160403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0904398874920052 0.0635723713350938 0.0165743729205744 0.00585624248208223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117272296156493 0.0936137339531902 0.0276732683967635 0.0161638843630428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0373721536806417 0.044833088504062 0.00097106914897834 0.00188949506190864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0371186426928454 0.0445796363344064 0.000978942648910379 0.00194576164560908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0373600664986631 0.0448602206588265 0.00102263684537267 0.00203921751279711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0380005003569936 0.045453291262499 0.00117670984055376 0.00220048598176901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0443517349337913 0.0501833664649604 0.00188345699829228 0.00316972077452298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0567510673312733 0.0572524741906263 0.00380684910548813 0.00447813302544041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0373958760700545 0.0453562316136671 0.00109997361541786 0.00202429607563545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0398182394956285 0.0466469836399182 0.00139579323367319 0.00219476988365555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0450079013043685 0.0500571081952272 0.00234484770183981 0.00292978840559699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0840579889517977 0.085834896213556 0.0127102627551969 0.0133483900078033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.134442272123154 0.130274053778726 0.0365007654574152 0.0337007836655776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0383416697930109 0.0373383514575056 0.00156028078493052 0.000733951872366199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0385857001208391 0.0373610176018431 0.00161083597015859 0.000735355701381733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0388775074982667 0.0375983704535221 0.00161162140557085 0.000732401447842028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0390256048496686 0.0370666049892942 0.00172192195982872 0.000784372296700268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0454703074860458 0.0414813191283468 0.00238477503177782 0.00134048213164455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0545346825016641 0.050702600654487 0.00377882491299423 0.00285159455907043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0385744059849253 0.0369526829174644 0.00158697415002753 0.00075178650077424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.040374259734188 0.0381898948477372 0.00182917008162895 0.00102707889379258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0458490629946287 0.0421307633312018 0.00272967049695721 0.00187391225055593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0816919240486882 0.0766494517492673 0.0113074728377172 0.0102008994855992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.122605825178871 0.119753460383533 0.0298659666602668 0.0294245054110237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0313489939845168 0.0356679405798685 0.000582651299643237 0.0010230764966696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0315100668788445 0.0357969133967686 0.000594556235454121 0.00101698852919629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.031689603886367 0.0358972333770945 0.00060744822329089 0.00101101291276485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0323571233530501 0.0373790099071222 0.000617132832086092 0.00111912566017428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0365098671060697 0.0384198911903938 0.00100354212949499 0.00132311754426735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.04225214261772 0.0422802011809093 0.0016901572055694 0.00193648546534628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0321589187143714 0.0361630451861562 0.000568396212666273 0.000974452160450173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0318081605542187 0.035578192851457 0.000679437361847582 0.00106353774686945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0353418411567026 0.0386569626426169 0.00106510775622621 0.00157165532136973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0590157620796883 0.0612516671942298 0.00507754967471193 0.00618304870942048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0886403915426762 0.0898005082672289 0.0143297106306904 0.0157170154891368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0368869789243172 0.038752584904111 0.000397045170285611 0.00072273505286357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0363264367216033 0.0387111291984247 0.000390403949017049 0.00075017353006131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0361798279461022 0.0386390541481873 0.000364735607460633 0.000732778187776004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0355902911272127 0.0379271333661342 0.000401047433200684 0.000744896340674958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.035859739909818 0.0385856366978216 0.000686187658508805 0.00108703993311655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0408536212916474 0.0428318898575122 0.00137866909873221 0.00184251491867898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0361018329287 0.0382154874713963 0.000394084899865848 0.00072452075780214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0359564467477515 0.038421912730038 0.000436412246829207 0.000828891460562096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0376140651106386 0.0402665610318915 0.000779646301823547 0.00119932152868702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0593251161563835 0.0616710358434619 0.00496405440459058 0.00548743533134298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0890776398670116 0.0915240056128805 0.0142772722554232 0.014952456833064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0417833106577801 0.0442149382503884 0.000616380677688928 0.000457128171341767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0409625259697582 0.0441447182934279 0.000620919989537547 0.000498485277444011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0400789293309918 0.0436374809503305 0.000617249038075101 0.000544675282453986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0400988132117103 0.0440130242467057 0.000663218176005327 0.000647238047567136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0447380492502051 0.0471234098603684 0.00138187734616597 0.0014048029135966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0515045551452851 0.0536615828017437 0.00289760402596069 0.00307364716786831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0422239345741697 0.0446025857034728 0.000700926174617934 0.000510851682413672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0438102978191104 0.0452671961825852 0.000929448425954078 0.000694620103664285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0473235050496613 0.0472468538126234 0.00167229255284606 0.00141127193964644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0809042016285791 0.0813443673161681 0.0108730213901667 0.0109593947304381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.127733091437173 0.126017755728442 0.0320462567719628 0.0316731412591951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0361237899108918 0.0476197573693345 0.00117024620863004 0.00326957766901111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0361353872017331 0.0478357866573049 0.00119381700565019 0.00333177519895504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0360176383407177 0.0479479179161132 0.00119074408861847 0.00341014847452466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.036603237785671 0.0485354392633694 0.00133374951550544 0.00352486441466673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.042054933074051 0.0537010431968807 0.00198819099364701 0.00465687022297698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0509241372086573 0.0600701370195241 0.00345688416306334 0.00624487358863336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0366676015629699 0.0488247463432492 0.00123672832829438 0.00344270543636923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0373754277505004 0.0491428431674812 0.00135494826026912 0.00371068086325029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0413031382883015 0.0519392432538303 0.00190393998624382 0.00428899434201795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0756307461999256 0.0812992549729625 0.00989411190804678 0.0126745159228002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.116965670380645 0.12273699041903 0.0271433764356574 0.0312288718503921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0404301916460544 0.0424264668688029 0.000836193240705818 0.000311988396214709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0405698865377499 0.0424494913423758 0.000851926225600465 0.000322854963784199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0406130259072784 0.0424532847706238 0.000866755070513016 0.000319416744874892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0415858182460987 0.0433338341897258 0.000938274774843395 0.00036616769786521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0473751434396267 0.0466560416920456 0.00175888416978247 0.00106669293596023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0572985139614185 0.0539960671692108 0.00351818234259283 0.00249789387512451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0395724717303159 0.0409542620211485 0.000896132192019965 0.000387168699062476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0409544956003233 0.0421838622721119 0.00112367191778018 0.000591076661160536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0469203005289382 0.0475365172706781 0.00176634646724692 0.00130577159232154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.079682448901681 0.0834794721712495 0.00995601116876398 0.0104958269068143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119368247758418 0.127342648100468 0.028215450819253 0.0301166440131434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0557401163780283 0.0573107530553267 0.000954599654800204 0.000790854909012855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0557216128982341 0.0575336026389118 0.000941607333684852 0.000793197765714258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.055543780898129 0.0574710443174038 0.000966025204380228 0.000818238822803916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0549274353239534 0.0569097036125722 0.000988998501994968 0.000912706621010076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0576997143809299 0.0604917078907759 0.00196974087267095 0.00202832093632387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0663470657646566 0.0698414941457282 0.00373587615867556 0.00406141330666394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0548212563561748 0.0566769807603368 0.00105663307036106 0.000842773296009888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0533256272595289 0.055501597116013 0.00118911124333618 0.00108925498299354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0581116893997895 0.0596873069033026 0.00204137297537187 0.00194315682011753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0929693006969921 0.0944796243985163 0.0127302297681187 0.0124774413025449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.139239648923094 0.145308024609136 0.0375171115546924 0.036663458012237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0363082583913128 0.0440476522965594 0.000585391982755414 0.00173333526808522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0362778684524867 0.0440675520753203 0.000627116610098578 0.00174496994544113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.036540490564349 0.0443966344587806 0.00064164348737524 0.00174143216725187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0374697347475872 0.0450162161779368 0.000740617742008254 0.00180435149227471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0405491174804572 0.0486586221779336 0.00118510209458065 0.00262197475018827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0470974986986636 0.0542608920286737 0.00230410050944839 0.00403206252609388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.036757374908156 0.0441436237004371 0.00066853997643849 0.00163033897316475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0384566927822841 0.0454765425557264 0.000789206006163656 0.00171946391196034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0423233531038534 0.0489705417633334 0.00124798412206948 0.00233755114126825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0704221559290329 0.0725390951855119 0.00787740623279611 0.00908105645877817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106943905213627 0.109790904772946 0.0219889116234784 0.0242033438019028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0619648140938929 0.0413394664883374 0.00663855795644535 0.000547665467881775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0610635103871418 0.0405124713115147 0.00658648022002497 0.000528765802617249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0615143586298278 0.0410115211394181 0.00662576163365955 0.000532495227056064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0612425689509482 0.040306201838479 0.00662584072342048 0.000588324341485309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0661337701138741 0.0430980049700916 0.00740803617079588 0.00110907315645195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0737972213598583 0.0510515864168622 0.00881941137681393 0.00244757871441334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0615771965319581 0.0406492384501544 0.0066232063957667 0.00058924630951876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0624623457420331 0.0413971135090504 0.00672481629193544 0.000674915687745989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0663485984279571 0.0443302805568724 0.00770057791258592 0.0013409603166647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0943415906440951 0.0765578384976683 0.0146413354624595 0.00836535372409932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.129333328962094 0.117296711455978 0.0297798786336804 0.0237019681365437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0431821228845993 0.0507712993034859 0.000944089427793882 0.00147557248840301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0439670956887284 0.0520743420062712 0.000928594767403892 0.00155901927284114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0438555272378412 0.0521371069502875 0.000899530677761418 0.00158231386490045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0437944154040524 0.0519522443493771 0.000897038587857457 0.00163445064064619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0483457762539953 0.0547211730680233 0.00163657438807895 0.00250091792605015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0553498348012417 0.0604484621639955 0.00324189990360649 0.00430089844852629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0438698860422208 0.0516325912409783 0.000929582941995514 0.00160541848928721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.044101050795866 0.05134650108609 0.00107123465865929 0.00177451031508703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0484605970838759 0.054606535884946 0.00183614088400169 0.00267879667682754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.08794911133119 0.0888784421009534 0.0125449748654802 0.0129191164087061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.134843101535272 0.134448318488189 0.0358173821548298 0.0354182654212245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0402457568632469 0.042332301773334 0.00122866034888229 0.000722989068130826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0401574449909045 0.0422835492409248 0.00124837469665073 0.000724531052206231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.039538738207781 0.0416429901215685 0.00127924451922739 0.000700567574161655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0390650459552887 0.0409926823780644 0.00133535122663576 0.000781620603369083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0448616722000107 0.0450351310974116 0.00200490934743975 0.00134953917322121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0528618425976907 0.0509716401922148 0.00345543579722723 0.0025637106877169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0399860905210072 0.042170514474731 0.00131964794544354 0.000718236271993946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0407371451694636 0.0420421874228594 0.0014679601174616 0.000892113116575744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0464645568395318 0.0467144634904171 0.00215298957093334 0.00161542998652191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0809531569370018 0.0806002153193077 0.0112769738400069 0.010745936587146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.125511618929749 0.125656579236595 0.0311800240167116 0.0310497349711075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0340477818395962 0.0392793431463532 0.000624553677522358 0.000738156730951503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0342978708903611 0.0396682668644943 0.000643303776890739 0.000766348785493667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0341642013740936 0.0399593746682122 0.000628954429430875 0.000788816368491331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0342294127740369 0.0399828411866111 0.000660783693430829 0.000819420386216398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0360711720696467 0.0403642937212904 0.000994858018261634 0.00120916973046373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0410962300596673 0.0436739433504965 0.00174207561465713 0.00204889234539079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0328471953161182 0.0390531712445963 0.000641394351957972 0.000775883436808147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0332111362529257 0.0387625987236534 0.000755179649209054 0.000885143852763793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0373081894961973 0.0407808623561177 0.00122496961419696 0.00129244627009056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0649787700889189 0.0651415940713567 0.00690248304178315 0.00660472149418966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0977597461959167 0.0985316092377307 0.0178296479847607 0.0182574890643917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0352083298190915 0.0402000969787165 0.000507473739703005 0.000741960980488426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0348407482059862 0.0399234022157384 0.000540342158712898 0.000757787941083137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.035826109814833 0.0406222560986904 0.000579370376515604 0.000764142179722995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0374423061379104 0.041419523258778 0.00062302664605885 0.000739050707113531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0420600764104579 0.0442760633408841 0.00094350886715667 0.00106117022485725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0469519867099812 0.0476490972452231 0.00175639042530425 0.00181041930185931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0371033288027516 0.0421221524675519 0.000529454489036579 0.000801918495638369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0380165761772401 0.0426832621599276 0.000577190247421233 0.000868351442128094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0424253000347856 0.0466823973325211 0.000967174530160684 0.00132282037031185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0663114485607718 0.0694803559557801 0.00579168087133703 0.00646771182956728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0975309086644857 0.10036619315962 0.0167227420810759 0.0181666810661357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0389081962014736 0.0438084125890081 0.000578699696582312 0.000533424833970815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.038827482181891 0.0437407590839764 0.000549881415277024 0.000528139714235048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.038963025755899 0.0439525232549257 0.00056315524400235 0.000557041657122814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0388744609247059 0.0435643629941382 0.000650639093886734 0.000609060125285919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0443050935250405 0.0476085729911375 0.001443884028314 0.00141808015314702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0537615854078312 0.0562049721829991 0.00307952875618725 0.00303694600815921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0393836884172766 0.0439577026702781 0.000650329698021094 0.000570503911664232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0391235449350082 0.0432270529937456 0.000839852049482328 0.00075803861914833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0449204342815991 0.0470391438538456 0.00163556912766984 0.00148837351416985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.083115613405055 0.0833454156132768 0.0113882288772583 0.0108211023564807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.130076590764895 0.131371423006365 0.0324179547703972 0.0319163708738985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0367554021796773 0.0454475763438486 0.00079745535772784 0.00206292703692663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0365062973266222 0.0453919222538876 0.000865542260238094 0.00211577920908368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0365589618927036 0.0448187520895526 0.000936215508928534 0.00201474472914682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0362185561822875 0.0443619677271554 0.000999162890494939 0.00208306681156319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0410699851631991 0.0489962563344674 0.0015657382298922 0.00298204790928206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0510572169862351 0.0579362442471533 0.00314584394558273 0.00474789585655212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0366115181743511 0.0444824345053729 0.000900449067395906 0.00204358353275122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0368438417752679 0.0454062951986818 0.00106479690597728 0.00230966046298847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0427422212428442 0.0496255787847578 0.00184612170979498 0.00308984894975537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0805249174636437 0.0817693757572941 0.0103721789879718 0.0116443469896589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.124403839771816 0.124704546602034 0.0289105289318054 0.0305006927063289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0432903474667391 0.0442557843394264 0.000938729703473082 0.000394187767518736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0432714849166535 0.0443814163467733 0.000955291889165014 0.000400974466269158 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0435278042076599 0.0447312253344519 0.000960685993502508 0.000392014121090907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.042881226525333 0.0437957326324954 0.00101642010986213 0.000459448324508071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0464243122842211 0.046206544958618 0.00156172913368204 0.00100607666246707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0530932592540278 0.0525269402473971 0.00293710626052729 0.00238943681009604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0440502611981661 0.0449778588503976 0.000965378254414613 0.000408465993855622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0449862387252175 0.0453118365555782 0.0012013708947399 0.000571192793894619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.050631547591458 0.050086816534439 0.0019305034747808 0.00125156810466361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0781040779439458 0.082960940002019 0.00889767159021105 0.00960776296373549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.116542870035584 0.126773172187604 0.0252518821781436 0.0282345411397908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0540797627527869 0.0562525703711927 0.00056705827463516 0.000510811841413573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0540627567005465 0.0556758929528013 0.000546257719795936 0.000464068169822399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0549941286668862 0.0570420450336839 0.000577926290730092 0.000499296760264999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0563978744200221 0.058506399983224 0.000724276207398302 0.000630650907954929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0596874860888518 0.0623296378142893 0.00173058569270559 0.00174707014408559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0672706900009974 0.0699218183185312 0.00404338442098681 0.00399243844769041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0556240463819407 0.0574723593695671 0.000602404730008052 0.00057163130100239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0568241306094197 0.0584694909829121 0.000846798421823562 0.000794933859613169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0601732872953384 0.0629278933138697 0.00203951457033771 0.00211912065360451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0990915780342086 0.100427801959577 0.0146927741750565 0.0137745297223613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.149013661742496 0.153838053821915 0.0442804860408625 0.0417453069498812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0365097496851793 0.044182744510072 0.000496122981513277 0.00132208896668823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0369035282883039 0.0445073250532619 0.000539771730045581 0.00133057422851625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.036964549852377 0.0449040184469021 0.000552770218270697 0.00139622948487571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0373304542000124 0.0456097124034045 0.00062307285772699 0.00153184245508316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0398399246505929 0.047509107923367 0.00133923769556408 0.00243024822779324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.047995125276155 0.0536425045438206 0.0025946653105565 0.00381977253421118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0367190754533271 0.0446454521849838 0.000546686281902293 0.00146401561083711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0368973956364407 0.0444982204132235 0.000710843188095242 0.00160156061051811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.04187286713927 0.0461283415582111 0.00146756960743032 0.00208280468641255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0756250917874531 0.076513322259192 0.00889155919734138 0.009255785726654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115008714471153 0.115060128480666 0.0249101601093286 0.0252641620642846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0569521675140663 0.0381596588609299 0.00602518879404097 0.000485747180334946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0572898423410349 0.039002726830328 0.00597207690650984 0.000468147375580906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0566489496585634 0.037960482362439 0.00589438039748043 0.000472803597416455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0580868747552561 0.0393216400647543 0.00595189781211519 0.000556405507426326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0623645103034842 0.0421903417934047 0.00668358721299627 0.00122335692843732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.069752677364313 0.050481695927653 0.00838480718000199 0.00271179677517042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0578096247598049 0.0389364193102492 0.00610564845525227 0.000609703339274255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0587344510668092 0.0396295758073242 0.00632907892071353 0.000840881643950737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.063561238799729 0.0444598607761441 0.00722177463188515 0.00161832083784657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0961796247560518 0.085846078800393 0.0164277229482251 0.0119797668245351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.137680339462301 0.135020908581471 0.0366004274864525 0.0334543828263756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0416556790622047 0.0490732109813907 0.000852396706649661 0.00143159325554157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0419072395852835 0.0493033409458281 0.000860653133723357 0.00145460260581393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.042531316509426 0.049472697246402 0.000904916774539259 0.00144017530535776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0409562848494887 0.0481697554641535 0.000893505091137674 0.00152609553606106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0449439891538381 0.0518053596431619 0.00169855071993369 0.00266226271358388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0569513524085367 0.061247462755372 0.0035726040224529 0.00456356775350167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0417828496642243 0.0481133967919435 0.000946501259744421 0.00142895514370141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0423133944777938 0.048666849767668 0.00118056126987831 0.0016988407025929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0485895994039553 0.0531754521322501 0.00202876110181808 0.00255245685265603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0882520053048534 0.0925365207717011 0.0138126173961949 0.0147098610823985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.138167203590952 0.142846769909632 0.0373686865297199 0.0396668895422042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.038688865663017 0.0416762394854144 0.00104039442339402 0.00053388927874406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0378683604179615 0.0407122885674986 0.00106213275722169 0.000553204213941027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0378402033963846 0.0405846470968117 0.00110090226267512 0.000620272155412249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.038743888341719 0.0405818625830948 0.00126374709295958 0.000664580837717927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0439795356676143 0.0446099545140247 0.00200100686767099 0.00145729198153161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0548160455295106 0.0536136210927037 0.00371660720127062 0.00304302957378727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0387291999148654 0.0412360402369858 0.00117416984919675 0.000661219511022925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0394683447880493 0.0412643552681878 0.00136093774801527 0.000897963817677222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0454417849384567 0.0434975674404363 0.00222776507113133 0.00158373729018908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0856251279985841 0.0851543792970839 0.0123216891784578 0.0121488475353114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133178117967457 0.132979118983294 0.0347417032772124 0.0349919018501317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0336744365565779 0.0398655976923631 0.000497116684299068 0.000732829426773751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.03454128170235 0.0404754269208638 0.00051378874883057 0.000723708097953121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0343060379478539 0.0397248087956902 0.00051161208007618 0.000703163830549646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.035480266981715 0.0406281629754467 0.000565887061455233 0.000716951363367136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0369622661127489 0.0414672910490447 0.000998797667042959 0.00118991238811622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0442452159667516 0.0460828204187577 0.00200338265393778 0.00212154493729119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.035385185526748 0.0407210903894857 0.000510605889374599 0.000702842253766782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0362318385813285 0.0412048567715991 0.000608516488404256 0.000784664795110005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0394153949205815 0.0433342972982616 0.00105864200426673 0.00120623362577064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.065670091508836 0.0655774781540156 0.00634991655110157 0.00614754185720703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0987963350908214 0.0986904733121084 0.0166456817013838 0.0167131594170362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0360960601689622 0.0405714838493054 0.000435502618712367 0.000606917666264707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0354599132762358 0.0400492786932868 0.000418794477234442 0.000604748697114936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.03602156808061 0.0405796827310999 0.000424574771386637 0.00061354495566351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0367153853897048 0.0410467956175229 0.000492957897415897 0.000621550139893346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0389303035113178 0.0422796960428941 0.000979930006257112 0.000965277542155817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0445966207493881 0.0482400507034883 0.00190292433929404 0.00195647922532085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0372650751200075 0.0410380745816929 0.000513095748841701 0.000637567132729195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0372453664218685 0.0412409319335439 0.000578410390740711 0.000755053373484379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0381883937901727 0.0427527561587679 0.000990345566839053 0.00125867354895068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0634769580651957 0.0673922810366935 0.00618348043382077 0.00665252227899573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0967224422963563 0.0983333315125205 0.0185168049352697 0.0183664085814563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0403060295078574 0.0429691396034036 0.000517556980036448 0.000502578541769133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0405636672901452 0.0433594729265938 0.000515042945142056 0.000511418595982825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.041211038594333 0.0439008316772313 0.000533892182464205 0.000514683795224103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0411086934669923 0.0441435308844976 0.00062479975268862 0.0006436131311377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0449201175719828 0.0478570626617403 0.00132476080807452 0.00144363910631828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0552146284284173 0.0576761976263876 0.00296555313457553 0.00324116011549188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0417759211626914 0.0440043570873294 0.000588945343652946 0.000565508465479124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.040795639036144 0.0428402816760977 0.000779784482420722 0.000725564514951206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0457532415755365 0.0469249986005355 0.00174075382611705 0.0014596865411913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0860448883260958 0.0901380554474332 0.0122473981078514 0.0126833129378008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.136063297834551 0.141056166710223 0.0361659880258445 0.0369337817112018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.039945231068062 0.0473601706309435 0.00075855447913712 0.00168803292551261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0399040539591746 0.0475471962531841 0.00079635402615931 0.00175133184338944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0400025855573323 0.0476799950290033 0.000811297551392929 0.00179871195845708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0401814894200519 0.0477454587683909 0.000926355306977845 0.0019147497562526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0431055097146926 0.050635498406885 0.00175095193430851 0.00301939306322999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0537673294581065 0.0587945161563433 0.00367086930640866 0.00486448282600127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0392182738739813 0.0480251694380756 0.00087306818881565 0.00196872086170129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0393247279671197 0.0482478349946726 0.00101599658892967 0.00218289194790098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0442604306656546 0.0521059625536918 0.00173907900560669 0.00315071589492263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0856872385365313 0.0910644804527528 0.0120009747058392 0.0140630651219976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.137069194971725 0.135539639855836 0.0365928181185206 0.0353413042577214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0423456619331565 0.0447354924899545 0.000882964260651517 0.000316274137554246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0428687352998117 0.0450355840496372 0.000881754094717604 0.00033884056347591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0422168585451172 0.0445723799449244 0.000894647054105791 0.000358697377151335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0431569872388191 0.0453463872168712 0.000920368599370877 0.000371773200096503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0465122218947264 0.0472451404505482 0.00158716506426782 0.00103538955075693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0530465699808591 0.0538287093990964 0.00272032602581449 0.00241258087061394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0421690632860616 0.0443821180553397 0.000908737481476997 0.000394420675444506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0430423012456273 0.0452511302465235 0.00109347782026508 0.000621480621826086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0480730681688646 0.048734051701058 0.00192713390709677 0.00147008765028263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0821584870332446 0.0861032650893366 0.0116681553596519 0.0122149280007852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.127134321165628 0.132706556687863 0.0353134549553868 0.0357396392138041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0494061093577183 0.0507658451267074 0.000705308135352121 0.000662617260163384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0487872324207212 0.0503594992641993 0.000708575114430488 0.00067744723659223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0497957303028816 0.0514462956841105 0.000788466197122041 0.000726897732645617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0499410323156362 0.0509071628362549 0.000861707890102239 0.000772542381987418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0527608695267579 0.0545930973704723 0.00183996691403295 0.00160920180797134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0601480394455136 0.061733396489993 0.00373657990147051 0.00337245099363256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0500948112484291 0.0511211370738927 0.000822292186642678 0.000712324637065796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.05159424207975 0.0527524416587739 0.00104356523413339 0.000939392161862518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0548190281256016 0.0563751291712517 0.00200118900180683 0.00189617420646041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0932270366128264 0.0981790448998401 0.0135238303481779 0.0133790261976854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145076783415258 0.153948617933315 0.0410636851257662 0.0372891293620759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0331605674159489 0.0433987659919622 0.00073518553687092 0.00217253616191239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0331022403668185 0.0436256393352179 0.000704324120847544 0.00216574986246221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0325769809071264 0.0433370500916386 0.00069218159740558 0.00219022414524042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0333931625371853 0.0437377200093124 0.000746716742172092 0.00230672408849851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0376468063578361 0.046784425363139 0.00121401423446393 0.00304136995785048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0443536037221232 0.0527102270387294 0.00241627499826312 0.00443835677479278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0339783781172149 0.0435557979258434 0.000813463129573176 0.00208404459891768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.036132202344202 0.0452329954526433 0.001042459984085 0.00235607125170886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0403893750758606 0.0478926254572537 0.0014270163372219 0.00289049648977603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0727869656696142 0.0762484170541 0.0084034686817571 0.0102019852672895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113217749626415 0.114172170345436 0.0235354320692872 0.0256672249857666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0616969568372409 0.0337851140742327 0.00964077423538671 0.000501798094078273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0612142932255404 0.0335088514500192 0.0096112717486335 0.000526593396135944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0612066316500168 0.0336593578164589 0.00968073176430527 0.000514002323726707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0613342370436424 0.033992613809751 0.00986386326225178 0.000582280726409681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0641789299192852 0.0370507620492176 0.0104589291021851 0.0011045594379817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0717186278699138 0.0455913082500991 0.0123135764762087 0.00230914517834596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0612736751263687 0.0334434684758809 0.00976428594537888 0.000620651299582953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.061787169230216 0.0357099100060716 0.00995732085977966 0.000797125911223428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0633474152675477 0.0401717218331511 0.00985775057099506 0.00132030207206203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0906505906172134 0.0725814996155781 0.0165780211546279 0.0074203047414796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.124748830243262 0.116358082603603 0.0315771909615361 0.0215313870338498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0397150752529382 0.0496655295913665 0.00121971114377724 0.002609194193749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0394965855747133 0.0488181744579706 0.00122164680400889 0.00260274982076766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0385901449219867 0.0481844429158471 0.00116911280493436 0.00267220732950464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0405758883676017 0.0497229126949879 0.00125277127189694 0.00280927303931122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0446585636308515 0.0522858386848467 0.00214457127403698 0.00379224329379079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0564046244821609 0.0627122887823421 0.00420704241257686 0.00595191934803576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0407830945890613 0.0504490419321457 0.00138074827715615 0.00285838893731355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0420626232664432 0.0514409092533046 0.00163015843817209 0.00310980185244527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0490693775142308 0.0562285878320202 0.00244438843433782 0.00409949899658472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0932722577416093 0.0965026433155573 0.01392753066841 0.0160631093838283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.143710536421754 0.148180484469259 0.0380785745697193 0.0402964162710971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.037908451608945 0.0403108682816901 0.00151609493983537 0.000701700217758503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0386034635967984 0.0412245031310944 0.0015547328450329 0.000729334152979571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0375953378121272 0.0405243576699285 0.00149085796391481 0.000715404337426214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0384923116563722 0.0403022087815623 0.00157027562785018 0.000765654830696001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0455867232477792 0.0445857763110282 0.00226198661928885 0.00146962684140306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0531276354971578 0.0507929801698251 0.0037752154985215 0.00308885454171399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0380014793674976 0.0404315507000403 0.00163217171540689 0.000808089305682096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0396536214982138 0.0401451385253713 0.00188245809788178 0.000938358515737066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0458109925172033 0.0450152159612065 0.00248178990612464 0.00178497696471577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0813355047569416 0.0819470874611803 0.0109023636749178 0.0104053346874714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.12386637604618 0.127022045670903 0.0293903713482808 0.0278324456630432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0351312507732959 0.0365940819007901 0.000660366545597744 0.000815339759326695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0350697621984532 0.036335668461161 0.000632425606389027 0.000824853453756053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0344159767011952 0.0360110823506174 0.000648031473745867 0.000860463954079169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.035264846206112 0.0356596731593958 0.000706615056783279 0.000887892251602408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0409778446293325 0.0383015884463078 0.00132956850289409 0.00125442420641845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0472895472629025 0.0429081949508221 0.00231178666752283 0.00214174304065006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.035876310980891 0.0382864714602158 0.000624228318187788 0.000964831790271899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0366516098548808 0.0389877818284972 0.000715401874539701 0.00108441338937078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0391019631985079 0.0425883997596787 0.00110925202573606 0.00174548754760096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0664559540886478 0.0678625528947464 0.00639404914184395 0.00704651111090054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0999188056079016 0.100474189408103 0.0180739673796668 0.0187258821377368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.034204190262878 0.0361286418221866 0.000343780854085469 0.000745061214210676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0346714535395551 0.0363527110330459 0.000382288970024402 0.00074158376104835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0345063011811868 0.0364005470633079 0.000389775845299302 0.000784676285581503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0342948720414714 0.0358517025692681 0.000408004821517645 0.000733221048621142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0366098288551017 0.0387834608306064 0.00086937210874971 0.00124070604646595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0427033788650481 0.0451135597107879 0.00182396513651722 0.00228392953687014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0337581726694957 0.0361384970268262 0.000365953215256409 0.000851389938356548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0323303741170336 0.0369263161232623 0.000477874501315586 0.000935133905770451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0355103022566698 0.0398075704848291 0.000845584657478507 0.00154672209789096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0614907409933051 0.0671653281495742 0.00608832657384144 0.0087645181567343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0938572292168796 0.100780607138416 0.017192946521305 0.0224589851786309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0394305757407525 0.042569757519005 0.000672724250822892 0.00067614498063249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0402599554379605 0.0432140473147975 0.000736743071661227 0.000679586554326866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0396770380200798 0.0423952268017854 0.000750530227626996 0.000681651647499791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0402930999344416 0.0429258266478285 0.000802936451538931 0.000751497303665505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0444878549475083 0.0464107198924694 0.00160127453356904 0.00153441991654407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0532878272679444 0.0552234691810042 0.00317446400265227 0.00325850522965705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0397165368056245 0.0433166489967112 0.000763036821309101 0.000716834615372457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0403194599965243 0.0450230599630499 0.000959443197437565 0.000969311878052901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0435616853624022 0.0481665183928396 0.00182603194039353 0.00200017864767957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0873371178227446 0.0922019161430875 0.0144928983998795 0.014120514060475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.139618574155253 0.145170241446469 0.0440691356297823 0.0420612261630099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0307009549042141 0.0459864808166177 0.000835553141081067 0.00261751983327432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0302751923025427 0.0460933800334619 0.00084262348957937 0.0027107742885315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0305914975057168 0.046383999521131 0.00087116137815891 0.00273632184554891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0327748338197808 0.0475888326740142 0.000947391371138735 0.00281847033708173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.037769707597524 0.0481901499680946 0.00155937198714758 0.00343722164419053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0489819847677415 0.059546697403907 0.00311176548123049 0.00558429530785487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.032871697890777 0.0471332681348251 0.00087856146527912 0.00268474821099331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.034489448251267 0.0475805454431268 0.00106751061439738 0.00278331059188947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.041476204400247 0.0501681231825323 0.00167595209035143 0.00319133626183147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.080002116793828 0.0835212615645325 0.0100471814667412 0.0115117314746005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.120677509862505 0.121913435896067 0.028817326711981 0.0311009752161327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0387473191633465 0.0396200697605862 0.000829733172877997 0.00028031165524475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0379810554656834 0.0394499009299171 0.000846436804641371 0.000303092939664587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0380196013593139 0.0398206234598454 0.000871839798506766 0.000318057432896675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0387049923249043 0.0405364377655199 0.000992921549405418 0.000436565839784908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0450880586122127 0.0448685736671588 0.00189201707979169 0.00123950906196651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0561552394835438 0.0583663963322824 0.00372311064498397 0.00323961177441036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0395222239096053 0.0406695704652856 0.000945704221479217 0.00037785103751595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0409922232278011 0.041544874913727 0.00117775026108727 0.000598551073396013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0453084050505439 0.0458959843599062 0.00209149700137124 0.00165127712094401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0823819114454713 0.0843505870968716 0.0119813283391474 0.0117827272786375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.129066322997139 0.137745888533835 0.0359949922278315 0.0348158978756652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0926526274080947 0.101681248839375 0.00196691798672411 0.0020154941091606 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0932018008760309 0.102262881875549 0.00198181633098038 0.0019832062654231 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0940295765089542 0.102865481180564 0.00198143337190145 0.00201631998439723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0959311472065284 0.105104673614641 0.00206813367856773 0.00210152953152428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0991187664695405 0.108872276905079 0.00305088663686119 0.002885731177556 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101227715191084 0.109960750716971 0.00481968720037758 0.00420216901559375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0924942822160618 0.101804630117784 0.00210625660060139 0.00215294416069176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0935607353238462 0.103504363941378 0.00229380443973397 0.00236307294590106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0956710836585539 0.106041005585317 0.00359918395063191 0.00323140233998493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.107908809570585 0.116735400959567 0.0109441623135242 0.0108453352986028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.141465639969768 0.148489719690814 0.0278474930845701 0.0270788001362637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0709789527027408 0.081851832923793 0.00111152184328977 0.00132071810945067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0716401902823643 0.0821845922109124 0.00110880947283028 0.00130959383963642 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0719628252114714 0.0825333591926085 0.00113402372356005 0.00130611505539793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0720277790329772 0.0823926850345628 0.00114509745983924 0.00133447060343168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0729684192501032 0.0824362447328106 0.0016128807249394 0.00178737404770934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0746361919267286 0.0833340281232364 0.00246746338130155 0.00255429063595942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0714155424388853 0.082042686904248 0.00119624999139902 0.00129928834825809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0717663350292102 0.0822990148427871 0.00129086085067907 0.00133318620986816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0720339617797987 0.0825876001625205 0.00172490430691508 0.00176676392158443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0896554119302378 0.096129826075256 0.00650675038217352 0.00638585471876183 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114564959114353 0.119557342221533 0.0167018613702611 0.0161130736934498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0846034968141851 0.0923363503532076 0.00136231961540894 0.00146724995503311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.084713232751773 0.0924715085390624 0.00136024572559371 0.00148005606821521 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0834941489185296 0.0912886030903309 0.00132046587771875 0.00150778427390188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0829231553432032 0.0901535161446398 0.00131537254479784 0.00151020679457882 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0832459875814225 0.090335645927624 0.00177230251045564 0.00190347157901242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0839653306682387 0.0913577908633631 0.00248837161333958 0.0026581176253571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0841344854061628 0.0917152073329521 0.00128788420126543 0.00151993459469743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0836174919793826 0.0909240136776439 0.00137474713097415 0.00154270724192307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0827082474152341 0.0902846111644523 0.00196415312961733 0.00200379420308085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0928077624156897 0.0982509029279961 0.00659651267948171 0.00658683238279379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117090154678305 0.122819822931147 0.0164124035672583 0.0167115245927428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0862192138652319 0.104076903882354 0.00204980862528733 0.00215293490324749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0865479996777853 0.104464722063812 0.0020058087430488 0.00217842540530181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0857428264041735 0.103666317032236 0.00201118360810152 0.00214511054528801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0865253618917582 0.104288647701882 0.00210790070014514 0.00220240887949108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0891039399125354 0.106427779399238 0.00301118817886767 0.00294746280886716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.091509099611091 0.106945099195206 0.00454849997670804 0.00435652105478518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.087106889611297 0.105072242206545 0.00204290422740452 0.00211787670800422 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0869332765302592 0.104845639789169 0.00216849949295995 0.00233408439673731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0874677313136295 0.104568496106091 0.00284565398432045 0.00299151471036206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.109267039247883 0.121149340373659 0.0106532618957026 0.0106260039101013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147415312718872 0.15504105708885 0.0281750242102219 0.0272725123710729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0858402858231651 0.101499719293506 0.00211741793934791 0.00204782069359169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0850878169229789 0.100825950600116 0.00214480782802902 0.00211253418547888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0854919545367529 0.101120250486481 0.00218780964321511 0.00213464608954445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0845733583546937 0.100226585419938 0.00222484282900451 0.00216976621381081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0853149532977891 0.100240701941363 0.00285230525686307 0.0027035854551039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0855030756651508 0.0996349648861461 0.00392644019943147 0.00395291615942103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0851446041932281 0.100468116854505 0.0022478320426729 0.00215153269553711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0850902549689567 0.100763880712177 0.00231451447596872 0.00233894272012358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0831871191992163 0.0982235896771494 0.002785805155098 0.00286696579703254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101234248519936 0.111312791751737 0.0094016869878255 0.009307004773382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.132806168186101 0.139439934091793 0.0233413177441756 0.0226265761595396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.069258586398664 0.0803349417631268 0.0013883606564784 0.00130612140470861 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0684731959821551 0.0796086920153487 0.00139162296218038 0.00130814317337375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0680478753844598 0.0792397231112602 0.00137925584679763 0.00129780273414129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0678955108948878 0.0791953892823432 0.00139840609197709 0.00131277850196717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0697727154633928 0.0804850818534902 0.00170725748722574 0.00149182783728401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.070305954487965 0.0817972939826673 0.00225847215676242 0.0022018565793065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0680443785889033 0.0792683256580246 0.00135791987156165 0.00129302829049085 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0684590374096994 0.079630394074157 0.00143474261215473 0.0013378539800418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0688777071730123 0.0792941943720131 0.00171486210730677 0.00158685426374355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0769806946156697 0.0846668460940984 0.00504529154015257 0.00481999990183601 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0977111613231688 0.104366629733136 0.0121120630141127 0.0118201248117043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0721416588884387 0.0877073791680852 0.00168942117000587 0.00263819637466569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0721977211747701 0.0878963826321942 0.00164741040974824 0.00262909433772614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.07297880223489 0.088641029759686 0.00171748667913338 0.00265599565496126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0727708878288463 0.0880732914931675 0.00176043406676399 0.00261125146037361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0733082832585514 0.0875418587363967 0.00221502771731451 0.00299676828418566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0753437004255086 0.0900485788527577 0.00285004911160703 0.00373408314910895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0719095772624672 0.0874942407668852 0.00175884977185493 0.00270984982258246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.070833081610902 0.0861054295820358 0.00183419647727909 0.00270453233276492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.070324506980776 0.0856989039343577 0.00220428807656699 0.00305097268788628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0850864733315941 0.0955957158053709 0.00624002713820174 0.00674979614328055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.110581963143824 0.118554940082885 0.0148291072982568 0.0150319672634105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0838856327390826 0.102897336034847 0.00264686488176884 0.00316064255784663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0843829765572775 0.103393883102024 0.00266527322802403 0.00317505021514952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0848080675490899 0.103891829633342 0.00266674110845066 0.00322309632792141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0844818387654755 0.102755623104811 0.00276910645092587 0.00318170861602842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0893850928234318 0.107132827229841 0.0033405130038071 0.00384782677809371 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.093288869008629 0.110669115663127 0.00456049353807459 0.00520222101204474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0853586560922612 0.104376366929705 0.00273060887034133 0.00323888773428038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0860903365394874 0.104456626051593 0.00288651110561434 0.0033310583699935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0884369584590199 0.106718835955545 0.00349599011838612 0.00405552859692584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.103600502879371 0.116851472404951 0.00994942399692101 0.0103449405798048 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.135533594366285 0.146081974100215 0.0244871371211053 0.0244933997588016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0864551221422545 0.102209832626391 0.00222154222329404 0.00196517110167061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0858280492872739 0.10161859085525 0.00228534018964139 0.00199242747758121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0856216416907436 0.101396500758348 0.00228018919126935 0.00199474500849413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0859987067392426 0.101450542679537 0.00243936633907853 0.00215230818370121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0884727940569365 0.103647213349062 0.00290006559201586 0.00274504940302123 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0914351492573952 0.105772151895137 0.00422040978966926 0.00391855927624432 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0876362487557819 0.103104953752358 0.00234884854529971 0.0020892224506771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.086851283883091 0.101412641388597 0.00254180793714942 0.00226642097786854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0880791396302296 0.101819253180209 0.00320596048309726 0.00276485282169009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102529192443923 0.11220469117102 0.00984517193049673 0.009119656397743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.135626258078486 0.142001632162215 0.0250914851029278 0.0236418631693769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0751844194106523 0.0847484099605632 0.00229552348185629 0.00167435416716041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0757803446841855 0.0851071014487865 0.00230017658914351 0.00168662857305633 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0761820726602047 0.0854047285942661 0.00231499999776741 0.00170156080439252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0758929790866552 0.0850136583810347 0.00232730803106295 0.00172399558440797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0756261630962012 0.0841441959355292 0.00272078835306774 0.00208631238032363 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0771956693453788 0.0861392752693982 0.00338291810683335 0.00291692228059045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0768722164417507 0.0865310698502657 0.00229302113151531 0.00169915182668615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0774427885895433 0.0862611620379752 0.0025154062764451 0.00187764640981015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0781798793877369 0.087940051475957 0.00284416295618488 0.00234707639678383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.08754188328731 0.0943122377376892 0.00641067603327243 0.006138446225073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.107566891760542 0.113637962287587 0.0144022331550369 0.0142438612158376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0994718973608745 0.111401474064851 0.00202235576821407 0.00239352415592724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0991918658083898 0.111373150803008 0.00205542030552616 0.00241368733709876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0995614585359853 0.111646961721224 0.00208185459196206 0.00242570593250307 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.099885922878229 0.111924635833097 0.00210050786363456 0.0025353014237699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101098183516942 0.112928170648776 0.00276699748713987 0.00327864798182135 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102319470525974 0.115189361547901 0.00426592151143499 0.00471581969777108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0988818413465564 0.111223904942088 0.00207374307242417 0.00242410610660443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0989940028467238 0.111279924163444 0.00226111695984135 0.00261775962916421 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102164176375001 0.113582935346213 0.00294908702666866 0.00319546327484157 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113147018973347 0.125106240752651 0.0105334916636874 0.0109980180682582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150563505729693 0.160812571239048 0.0282696597179392 0.0276273662173246 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0812926540761337 0.0926632316779936 0.00209814524978508 0.00195650653171727 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0808264147207216 0.0921358296285274 0.00212791567579519 0.00200141796504395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0798001813609664 0.0907830832586625 0.00225471402775158 0.00202621107680859 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0796985936331626 0.090506827870431 0.00234777899835868 0.00194125232445717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0806812467656811 0.0909485303597606 0.00279540298113346 0.00224972580330369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0824279189837741 0.0919474711815235 0.00358175133440496 0.00306065535948103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0820759880316273 0.0938004191485089 0.00207762059856443 0.00199331535928747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0813149106072507 0.0933260673617267 0.00213962124891231 0.00212435649319464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0828920195898506 0.0954710116634666 0.00238846721574944 0.0023592353068672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0912242249189553 0.100722381164184 0.00653976865521359 0.00659439744717412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113641061942704 0.119282805562787 0.0164282084506962 0.0156337718031849 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0831191598910064 0.0930036590040729 0.00141610371322317 0.00175849735644889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0837415735364625 0.0934210831908155 0.00143390684850442 0.00176325030720245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0844300475453698 0.0938645265740651 0.00146845987712179 0.00174472983824881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.084947350416068 0.0946854562108455 0.00151989139968769 0.00180105213168335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.088097447424253 0.0976237669961689 0.00199199429918185 0.00221338799031203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0899938817049797 0.0991499082161698 0.0030429747280329 0.00326922501509214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0831427447144525 0.0926199237598854 0.00148373502404867 0.00177192838480465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0826427930175447 0.0923037680677815 0.001597831261494 0.00193418000718831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0839620663602589 0.0937839271236161 0.0021610642083775 0.00249779518104464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104449804806177 0.113140997908951 0.00815114616373504 0.00851941002360972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.129983567133359 0.13855262606686 0.0211837042090592 0.0219703403746929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0966174065710432 0.117879555565501 0.00297173166873717 0.00333786386299639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0962420252358328 0.117500279635513 0.0029788117388349 0.00333236948618686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0956276406378043 0.116643494346364 0.00301323179248894 0.00336403457627463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0947916738648414 0.115562310067449 0.0031280358161683 0.00348368661265704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0968182199822952 0.11620118252109 0.00407004109488477 0.00412278134573227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0999141054137148 0.118079738609049 0.00550927307104464 0.00569071157326651 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0982566348274546 0.119129827701065 0.0030700695696597 0.00339136146096816 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0988145479253767 0.119467736963494 0.00320757220550147 0.0035210068647137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0989859033966791 0.118853273650602 0.00411302420061363 0.00422613519256614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115049140678336 0.128784711188203 0.0122635545638116 0.0122509605377915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150128566588264 0.160740058576069 0.0300042996699944 0.0296718770538573 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0918696955003732 0.109903304779313 0.00213780477466577 0.00236316417646513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0922758830796263 0.110341297205079 0.00207474955583863 0.00234899396862537 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0927908236526026 0.110750911652457 0.00207361804605429 0.00231945816202075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0914799049368078 0.10956071431739 0.0021998695849428 0.0023452074394309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0912070447321952 0.108201494017153 0.00275096927638699 0.00291645835505005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0937237453181017 0.110212708389227 0.00382837021752274 0.00413150868623564 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0915825052977139 0.110123426556048 0.00218591206541287 0.00248985446766669 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0908030843000731 0.108858253648217 0.00233657922200698 0.00258538409093195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0899462609612172 0.107420777236126 0.00311592385111908 0.00330772440840501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.103169298920391 0.116299219477294 0.0099268922599477 0.00993087783521416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.137710156188094 0.14727557988825 0.0232985324998865 0.0224225782882217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0760237600414102 0.0896822907661899 0.00159220146087479 0.00187714629219637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0756810262801402 0.089625844960882 0.00161714737853231 0.0018838584743364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0747676350883587 0.0888030108014093 0.00164036586517717 0.00187582740487615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0758561350016747 0.0894601190103026 0.00166661373434061 0.00186473390997845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0741366806729851 0.0869940194120311 0.0019669768927153 0.00207932101114469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0775872805249861 0.0901319094115852 0.00284663388846897 0.00283278330832966 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.076516042145572 0.0903982226322539 0.00158896193919097 0.00193944320070756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0769469520092562 0.0911968279239768 0.00161199179007043 0.00214368280941093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0762686888475577 0.0899449701340403 0.00188697160035961 0.00237399080905092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0868596314899367 0.0974954865224986 0.00593796828666501 0.00592301946907409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1093706064141 0.116344456428251 0.0147674894367901 0.0139523753670193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0936139122774605 0.108840730195218 0.00227196464470819 0.00212900661744592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.092890717337992 0.108076203143132 0.00232969136417362 0.00219383234099781 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0928691795414432 0.107863712185936 0.00231392705218224 0.00219332674285726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0929266811535265 0.107891545908926 0.00238136542341367 0.00223211782460968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.093359240563673 0.10806357060852 0.00259514017660766 0.00273962567785252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0956427695937015 0.10931156594607 0.00339406661400783 0.00340685179495312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0930190267418693 0.108608367024836 0.00232238505023509 0.00217306470766917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0934704233031298 0.10855214302909 0.00239525285036587 0.00228444744753204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0922251736935452 0.106971368587528 0.00281978132769644 0.00279175397760444 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104202474202354 0.116135099963828 0.00660924124970512 0.00710238140256347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.125037533522328 0.133016215169231 0.0157508375157398 0.0155105221294074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0996282918126945 0.115881762056213 0.00311988609544735 0.00297184271424065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0995398120604037 0.11599882962467 0.00319159769790325 0.00309286307278926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0997278225444349 0.116168514135137 0.00323453603158157 0.0031282786747922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.098906692593948 0.115320554625918 0.0033257205515103 0.00319556530954543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101483512251471 0.117443039388506 0.00386984624175725 0.0036716685209829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104633933318303 0.119341064066289 0.00499994716146992 0.00470009658400159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100022401016433 0.115860637011316 0.00313368792250155 0.00296738800291818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101384393440593 0.117215069911334 0.00319735176209333 0.0030009122550267 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100305784504484 0.115823219451448 0.00375155600006618 0.00367044359264569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1149937876129 0.12854921845628 0.0102864036593691 0.0105930242664153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146132434497146 0.157514761093201 0.0254666750736249 0.0254677681778667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100171012052816 0.116463879039819 0.00269365142960263 0.00258280356033081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0999936194486284 0.116215134249317 0.00268189626851399 0.00258832030750592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.10025940328774 0.116465578353921 0.00268728887225347 0.00260805421696241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0996241436410422 0.115717082548576 0.00284542815991776 0.00267683857341982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0996656657104283 0.116013489564832 0.00344357950995319 0.00329409374804656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101080198663823 0.116370444183225 0.00464312732492165 0.0045298406149339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0992948094887644 0.115498251685497 0.00276946753145929 0.0026443886618097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0988162360662945 0.114818977225655 0.0030311746753733 0.00279292053479722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101447500786535 0.116918078577595 0.00374705491254243 0.00360743552822365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115372212357414 0.127633422203934 0.0104209962928571 0.0101598332554053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14661343868694 0.153203068609834 0.0269287022101303 0.0248421611667784 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.08500806895702 0.095954027747191 0.00253488766040464 0.00263264602047903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0852449988994285 0.0961020378669805 0.0025491968881491 0.00263380627272313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0853164318788696 0.0961652565076491 0.00252318440148388 0.00261755074272075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0860775629577659 0.096732455626225 0.00257372120043271 0.00261366005656531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0856266959683171 0.0962649771637832 0.00299258574628223 0.0030239696589198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0860775050694958 0.0963075743489516 0.00371232808063661 0.0039334823705543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0852486882893417 0.0961870456679818 0.00257216881941787 0.00260973947408301 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.085477600787192 0.0962929307897341 0.00274709808458137 0.00272484987324041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0866124710620981 0.0977070770476288 0.00320766394778836 0.00336161749283926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0975331934259116 0.106813793981467 0.00768608503021211 0.00758701871420016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.120717693721566 0.126447201751291 0.0171150530725241 0.0163909756550661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0928658764599374 0.108520249044989 0.00267597265636519 0.00270517446220007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0922206948069356 0.10807694522864 0.00268730970898313 0.00266125082296042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0927655373757041 0.108880292374333 0.00272948039877393 0.00273455786516391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0941343734744178 0.110134957754743 0.00271680829743923 0.00281728371386372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.096016249148078 0.112402656811591 0.00336189729124678 0.00369121155552777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0965001155637512 0.112494356890442 0.00471314231976881 0.00518503392465118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0925176499453726 0.108346324168217 0.00275868290598683 0.00272745941704572 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0937430261015438 0.109090432994664 0.00293096400926549 0.00293008972393652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0968256970400549 0.111597447955625 0.00350326632344802 0.0037306384058037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113242445940728 0.125113798981792 0.0117931520451604 0.0117836619210536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14837431540181 0.158951820468757 0.0298047121891686 0.0286708815457806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0781233563708123 0.0903763638525055 0.00215483433162748 0.0021552447284648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0783780018581975 0.0909445719468437 0.00210936306303101 0.00216498247377524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0788258270289669 0.091231850559718 0.00209981357327899 0.00215880374076888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0793734930512057 0.091390978452889 0.00215099883290732 0.00220713178923451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0811943340746839 0.0920635811332976 0.00269604690600973 0.00252259381514439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0841198381529263 0.0942990714684878 0.00362736172677307 0.00344369005281854 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0792868163295968 0.0917966079753131 0.00217310089631382 0.00220049114454536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0786144710172158 0.0915817440702739 0.00226512346157549 0.00239446442374597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0807017577726907 0.0933132812004822 0.00272261415453222 0.00279784342952174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0938457849545134 0.102316724574491 0.00706806140321001 0.00715829139241321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.116773745429059 0.12273125423157 0.0170148992407623 0.0164658770873831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0889325740486978 0.0981350924409742 0.00162223318935746 0.00176512275613695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0884635390403743 0.0976700286455087 0.00158621477336722 0.00178053002377142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0884849910678097 0.0978043041664255 0.0015217448914034 0.00179697071131265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0881929526496025 0.0974647661116667 0.00158837943372047 0.00180207370726845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0891522194598464 0.0983622806676737 0.00208187065457445 0.0023924228037326 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0914274845000682 0.100547132694238 0.00325882848986518 0.00358917212113216 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0879642437772303 0.0972170596154916 0.00150866430983338 0.0017587759355743 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0878078693724412 0.0967693348184219 0.00154893440706189 0.00189241486906111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0881987146074869 0.0972594304194519 0.00215481842267647 0.00247759793542885 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.105633722556082 0.114850046084549 0.00842397845329629 0.00915459223891284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.135300559769853 0.143953652772871 0.0225059331297964 0.0232655753547604 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0964540364625155 0.115554141578727 0.00306780909504621 0.00270778854541515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.095793739630801 0.11474418075626 0.00307031837937916 0.00272977118360376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0961444120408113 0.115343168604131 0.00304798056420957 0.00276184640407618 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0943871328465366 0.114072616677137 0.00302188930974387 0.002805940005424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0954107694178141 0.113132907034396 0.00381137201266751 0.0034799510706017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0985606913102626 0.115712427075754 0.00522460337007386 0.00504119926547657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0972260414054285 0.116125166161006 0.00316726499176825 0.00272518268426907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0959851520945882 0.114956968581692 0.00332612326257191 0.00294910380054192 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0972314955362734 0.114863504374884 0.00421272917422587 0.00372258299066398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117989764788185 0.132491079988332 0.0124572923606872 0.0124763706897939 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153028894376612 0.163150523029737 0.0322053562581866 0.0315128061006783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0890826598323158 0.105043984857775 0.00215903676068303 0.00196654379218601 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.089005925126812 0.104665604812932 0.00218542870633255 0.00201799492100663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0885880382501895 0.103924484555934 0.00220779469807794 0.00206523687238765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0889808332236494 0.104525293926062 0.00228793689001238 0.00213896342116351 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0913660104960599 0.107328208402803 0.0028150797987388 0.00286043639755033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0925706980761798 0.108885187943217 0.00394242117198681 0.00400774197015655 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0875070544993472 0.103431337199118 0.00223588912748608 0.00209471568458032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0886123347774126 0.103710356641434 0.00239413542217902 0.00211825559196423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0913763076521783 0.106220487487158 0.00307817578347583 0.00281274501314211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.107794321721439 0.121406380282655 0.00926501697197878 0.00934586519597119 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.138667971971661 0.15049813042412 0.0229005907701618 0.0230368643808316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0794617034309694 0.0914745521008764 0.00199778349320049 0.001650538807152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0791977952299772 0.0914185953887044 0.00196861953615832 0.00165813400425863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0793949490943098 0.0915545537122465 0.00199250403413082 0.00166196036251186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0795968360186579 0.0915609632948868 0.00198407225968662 0.00177242059963695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0795358719077996 0.0920811628153808 0.00233712941360151 0.00213821859796739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0825986821483627 0.0949745169602026 0.00293598690408868 0.00291455625405837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0788810842600228 0.091339759112414 0.00201778689907557 0.00163552224321163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0796233206603948 0.0922892822209201 0.00211196618307889 0.0017886055894924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0813560435951687 0.0938239964601869 0.00250608752168919 0.00218247937694297 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0868469715113959 0.0969037125056332 0.00623687705417484 0.00613622102196295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.110084048278173 0.118318551472827 0.0148681035233379 0.0144062863247081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0883606495298175 0.103401843592632 0.00177033887193844 0.00168878283306226 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0889954961956832 0.104145432723537 0.00176431080850752 0.00174759325242538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0891043675704827 0.104196263158797 0.00175149131139599 0.00172213911088818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0888541289514653 0.103977277482693 0.00178140921080311 0.00181242292196292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0889338697325928 0.103881086666672 0.0022196945224625 0.00207500546448916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0869078106706825 0.101131087080724 0.00298139528460461 0.00284133608540116 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0889322043133403 0.104063066362819 0.00173261203142757 0.00165563960774677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0892435563118515 0.104152270069481 0.00180281973677669 0.00178693745979716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0912445888760726 0.10634439916896 0.00231567047748612 0.00243318720587079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0995364166945564 0.111554623843364 0.00653704982331749 0.00677652261689562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.122362097355599 0.131715792459845 0.0159198532709761 0.015945620932425 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0973682541225914 0.11491974183254 0.00268814935232473 0.00276107979701825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0978750405505927 0.115829078648931 0.00261514489447875 0.00272610877597565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0979204116744416 0.115898022859942 0.00263781525791666 0.00274797662146587 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0974800927024716 0.115648397645696 0.00261470370119458 0.00274346938032225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0973291040273669 0.115338280561321 0.00304654211773112 0.00313405459553818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0990553096148613 0.115446562468491 0.00461205053081762 0.00440397180585312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0972597003491535 0.115358663782473 0.00267610869706801 0.00283733808140398 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0970741803891522 0.114938062742394 0.00280395982368653 0.00302082589629451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0978060728106353 0.114972486327742 0.00338400156203254 0.00359070538124054 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114747864843388 0.126806999000503 0.0108015167975363 0.0108213075020904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14693588848639 0.156427293806734 0.0262936080344047 0.0258349882289287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0945732273207225 0.111526446329916 0.00282015451885831 0.00323025489193833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0948665960232416 0.111520452164225 0.00285875148349564 0.00318225698917725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.095124027853261 0.111684667627879 0.00287109452930162 0.00313957031996713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0965357928388724 0.112873531132493 0.0029025518761758 0.00321320171166766 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0957077744583283 0.111075579525408 0.0034197842863451 0.00374694170904421 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.097453770207812 0.113009608316318 0.00477185497111679 0.00512202546240822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0953516042753068 0.112085143554865 0.00291542926194621 0.00326603670846852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0973981969220393 0.113294969252337 0.00317129737891445 0.00343814394007401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0977523541039549 0.114301029591846 0.00384987256609714 0.00425210590244285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.110449497786367 0.122720189057802 0.0112956698311179 0.0116680288690787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145105422727265 0.154755736312327 0.027732186875386 0.0277663204721916 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0843137745929926 0.0935333128179055 0.00406714379028696 0.00287916889675453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0835058516677504 0.0925500305556491 0.0040996784542221 0.00293721431258827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0828367797697829 0.0915857482487889 0.00410377473318698 0.00295157187058259 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0826416617650057 0.0914389305524354 0.00414985060894708 0.00305699457383894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0812904298229019 0.0898607381717548 0.00438232501845943 0.00340819810325651 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0814362969495356 0.0892814194505963 0.00507272992458624 0.00391379487600497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0839762399349581 0.0927088484050275 0.00413406848959455 0.00293628389263627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0828777830841231 0.0919505916503712 0.00391183546232533 0.00287186158591563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.081025079022933 0.0899522319073154 0.004262998179496 0.00332036749537202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0930248208935116 0.099614109565856 0.00841929203782821 0.00756146847480671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.116886755042217 0.122255391419749 0.0176368676432035 0.0170507891242486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0862775617910899 0.0990197105718569 0.00224469607033544 0.00233843811495537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0867743200012987 0.099422520131823 0.00223697928846442 0.00233432254312705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.087911937123903 0.100357559543106 0.00231485601478806 0.00234764981731807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0872625212455136 0.0994923913599494 0.00236620913779101 0.00243412633031883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0910624109131162 0.103310201558286 0.00306507997625965 0.00302799038374211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.093371801896447 0.104994370149213 0.00454966623187225 0.0042552441964202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0870198185984574 0.0999582046281048 0.00235719754708841 0.00238601281205115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.087254215456056 0.100065338720735 0.002524220805276 0.00262740050013889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0880096291918695 0.10136316587227 0.00319803534862734 0.00329663522980606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106309213577939 0.120162338651424 0.0111138960624972 0.0111778980177232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.142522617650171 0.155122899391049 0.0301112392013267 0.0272684363929341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0821651593528522 0.0823753479811994 0.00830728577492798 0.00413348637348999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0827976989058718 0.0833636037592556 0.00814034384481434 0.00430153572986867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.083083150560359 0.0843489425793451 0.00789786334135069 0.00445076995543617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0828494305398096 0.0848898676054043 0.00743391408680244 0.00466799127649441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0849585468165662 0.0865554799510209 0.00878112702521644 0.00518701240441374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0840449695569758 0.0853779402296236 0.0086628053961371 0.00570278112985273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0813412917293186 0.0822353559691695 0.00858055468055341 0.00455560841549461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0808676189340434 0.0825256468364517 0.00897848154690566 0.0050890825259872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0823371984387512 0.0834918638463008 0.00945763467131457 0.00566517589328757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0971582568009216 0.0960579780126484 0.0146130521881597 0.0107736949662591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121694971148875 0.118221761817371 0.024379708639078 0.0206214060270169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0790875589784033 0.087088054806015 0.00155769884033289 0.00283943163182678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0794441324579275 0.08709739901653 0.0015480493834024 0.00287010181570253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.080290001505932 0.087659716260492 0.00160844172776008 0.00294107057192227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0793135867346836 0.0870881184238669 0.00160442163683042 0.002944797935152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0819821555556518 0.0901266110959994 0.00221030760940041 0.0033950579326688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0848844175673975 0.093574627074252 0.00346163451760283 0.0046075067000736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0810237889297823 0.088396922185676 0.00171575372102224 0.00306522708765037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0821306048432371 0.0900858320564779 0.00185910900381386 0.00324201033931127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0854046169797788 0.0946908490836023 0.00259217426690496 0.00435452971817607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0973949354495867 0.10599534156429 0.00875438178693851 0.0105971953423541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.129250045836321 0.136781635356719 0.0246692093085074 0.0246925400221488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0948528901750171 0.110219443447442 0.00240208455793218 0.00206751672028461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.095113844904323 0.110339934389611 0.00237751528224233 0.00209747336941149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.095396059198393 0.110589889720046 0.00241055533828575 0.00207663257915166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0957769918498229 0.110628441144837 0.00239819910758699 0.00210314030179557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0968968845459574 0.11188484049247 0.00307553413892857 0.00299643459562944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0985108582433744 0.112981978518204 0.00456377457478111 0.00455398769614174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0945035823167675 0.110284085063548 0.00243390803002724 0.0021339593190137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0958244348809265 0.111103528495943 0.00268285827352042 0.00232804284204591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0934107507162238 0.107621101972222 0.00339026249227718 0.00310197473738626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113177226236849 0.121961106856817 0.0124196986783535 0.0119268066193956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.152430538244864 0.157342454519134 0.031570730807672 0.0300124844563677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0830395393448372 0.0967035127122425 0.00275527135729351 0.00311887565996911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0835559194988417 0.0973620419860653 0.002745361966062 0.00320963562055137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0842944353227258 0.0984422846696186 0.00284839179896221 0.00331755908306389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0847154463361864 0.0991531924610935 0.00283011728068788 0.00337126789217134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0816641852556527 0.0958075025542704 0.00331421893116588 0.00392209064770571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0856842925458191 0.0989479392610751 0.00440097525224541 0.00519793636369933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0821336165903972 0.0964015581581039 0.00280488898659922 0.00339938461705567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0818994726815963 0.0964474874218884 0.00293159741371912 0.00355217045468692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0821768072109291 0.0973072591182159 0.00354240742811957 0.00422133057561235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102923390775716 0.11494461704879 0.0111289161928553 0.0114297792066383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.138765081687862 0.146421651773129 0.0263189208280062 0.0256589329473764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0736889752011139 0.0824698472837843 0.00265927774666933 0.00227014843388914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0740841149997677 0.0829974822836729 0.00263097551014363 0.00232185177142461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0740354412574811 0.0831649656715759 0.00259487785700031 0.00232737740532192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0755274836666478 0.0846448194703427 0.00264239526255091 0.00235412818678882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0748546882194038 0.0839533265007401 0.00292679634458119 0.00268268454971051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0774940289858482 0.0846912391643065 0.00361786871108614 0.00318769080621687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0748195645647547 0.0828413582100276 0.0027952149930344 0.00227415198761517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.074983544223978 0.08305038287413 0.00308609843937857 0.00242400187731918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.075672673089452 0.084387246564651 0.00339883196359702 0.00276554372801157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0873392708419721 0.095402577843478 0.00688357524228818 0.00683359212952309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114520060187434 0.121654754840932 0.0172024023361867 0.0173082705600497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0866732476004717 0.0938061567626493 0.00316236300430999 0.00246267433139521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0869695088959367 0.0942696053318941 0.00307366768046991 0.00245669577695632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0865324713659508 0.0938504291414276 0.00305566512201707 0.00245717120997411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0863447269989503 0.0940516727637025 0.00312877944015093 0.00250099135745904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0876014648217814 0.0956760214216317 0.0036765873010698 0.00296220149366938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0886634058532547 0.096809072497896 0.00442019780719469 0.00375753120833099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.086902606015526 0.0947998482673133 0.00297032734527828 0.00246429351854861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.085243612346781 0.0931473427641221 0.0031741560646076 0.00250611471183245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0866278861188998 0.0951463665339259 0.00355658130619635 0.00299478014773663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0981370384739417 0.104580814633795 0.00837749312523212 0.00725897628763145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.120732812952416 0.125971986379696 0.0181971062641187 0.0163355541931266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0994456038392175 0.112408258938921 0.00447840359484407 0.00400211872056033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0988361862443991 0.111848420424037 0.00458944642798679 0.00394544909333643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0985274713242568 0.111178745532304 0.00460996524376182 0.00393752887242217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100119173513149 0.113457164585598 0.00464987784780208 0.0039967405753677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0998083415751271 0.111183803352143 0.00508712715891833 0.00442678846704904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101864851761902 0.111878777941576 0.00617010777644798 0.00548378505500434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0985934513115801 0.111941810902896 0.00476751651692403 0.00398483992629409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0975369420952459 0.110549693761744 0.00497664420785517 0.00419232099819937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.099657313467727 0.11184619427424 0.00556877498852087 0.00488877900860587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.11528508340455 0.12414763441242 0.0135564293557919 0.012445572775756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148855611663613 0.156506115998954 0.0310781514543575 0.0297706615998312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0793995285980698 0.0941976380664484 0.00192219089074084 0.0024797206672323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0802373040793429 0.0955118596345728 0.00185027939348589 0.00240184839331534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0802061547233964 0.0957412675349522 0.00188913093070858 0.00246889184663639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.080205023290216 0.0953185130746989 0.00196574808693811 0.00251826145165083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0814443241776087 0.0953874551826608 0.00279580564632753 0.0030572248688022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0878126318326136 0.0985788925014851 0.00438960999436516 0.00432032378764317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0800569901773393 0.0952662572352249 0.00192871012678727 0.00255926765469151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0829954134276704 0.0979716113265563 0.00205591041880558 0.00266943686999744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0849741118657179 0.0974100658393488 0.00298802338134683 0.00326152874355181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106133588724059 0.113498537625483 0.010221409918887 0.00981095970447659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.142659869274703 0.144327138335962 0.02697358212079 0.0243502694340299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0768053303881689 0.0853058870481454 0.00234026264949167 0.00201092525671471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0764925026016224 0.0850259725792964 0.00231746868555186 0.00197460468172802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0771787456754041 0.0855590492923726 0.00233942417569762 0.00199826563371308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0766220856016664 0.0850973856497596 0.00238783687002263 0.00202226729847296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.076115576213252 0.0840395753164832 0.00287221251380457 0.0026016998775495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0771869637508146 0.0839830048976855 0.0035457412687115 0.00331440916261554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.077829857947857 0.0860106593518546 0.00241652364204723 0.00212818410737148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0754664612782599 0.0831922319845354 0.00263959968979406 0.00232071476012747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0755338136456071 0.0827934246306404 0.00279893297477886 0.00272151384902558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0916417193041468 0.0959348533816456 0.00819664518910262 0.00765853206588649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117307443559611 0.120966303037996 0.0215514241266505 0.0206045846777834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.313675668834551 0.404112231915164 0.0171412987096603 0.0132189126703578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.311983008255018 0.403508176164722 0.017002715424764 0.0134373167440638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.313188656890942 0.403791643794453 0.0168959040009843 0.0134395931683544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.31430145970835 0.405837012802755 0.017262366235917 0.0134689125406374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.315173043865986 0.40409946092314 0.0207458085540993 0.015335666872702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.314710343601764 0.405994215978418 0.0249015714311589 0.0200051748587444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.315692768272871 0.403653219384733 0.0176055873179098 0.0133536801660954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.314887471884061 0.403433148304667 0.0194642044912917 0.0140460353054739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.314910993706725 0.401795678277586 0.0208377819894233 0.0160628719021885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.319340962053873 0.416843140577973 0.0425681431645935 0.0413543939723155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.341179310585417 0.451330498146441 0.0938856693108314 0.0927133761459552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205348788108829 0.228568358432003 0.0114448204062853 0.012100853957841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205363266274808 0.228591239400046 0.0114837179197191 0.0121955232357327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204413781550161 0.227331268658598 0.0115407583122427 0.0122698433189167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206436622431636 0.227678778893177 0.0116669977730416 0.0122358848187255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208168605934237 0.231008530318408 0.0119907563687649 0.0128789741157867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206097560432404 0.228279382709599 0.0135824631528247 0.0133802402436511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209127683169794 0.231812220153956 0.0114944593970259 0.0122296313731404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210858452833654 0.232882897685167 0.011615452991499 0.0124386420491498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211096556367604 0.233314278364238 0.0119788813061277 0.0128266500306775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219453058752815 0.237485025838293 0.0196788822708659 0.0184304554335368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234064255735619 0.250238675953159 0.0357349254436346 0.0325082178820761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237858378118862 0.276977031338246 0.00634903902382875 0.00678026567881677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236900120834037 0.275709319745082 0.00621430211651026 0.00672700549833327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240164899253533 0.278726496829458 0.00627536837444231 0.00676837852766865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240106755614403 0.278639095296021 0.00655768755894809 0.00683681355369043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.23943017838845 0.283269449675342 0.0073164271283152 0.00777843741392074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243533550877909 0.287862441524207 0.00912197701063359 0.00941025218829548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237798026171533 0.276755186634132 0.0062221958234302 0.00690463132230027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237136218904183 0.276758650690636 0.00645148471044213 0.00719059395126474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237543043607998 0.279267817366385 0.00750862029229645 0.00853129855187273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235183925679525 0.286233737386704 0.0173788180518962 0.0180397062688088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246556411978635 0.300873563887314 0.0352218432051864 0.0363376141744263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.388568192454795 0.440288159597367 0.0588677819953979 0.0625221792856322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.388350847100868 0.440498075079428 0.05856789510938 0.062453067687326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.388888106109595 0.440668458351453 0.0583417737201577 0.062770259153439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.389234037998305 0.441149714543422 0.0589723885888238 0.0634378757018492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.390386859486445 0.443420938818654 0.0616999335299834 0.0667368761771946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.39007109346181 0.444472339096213 0.0662433004777969 0.0725572124495871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.386780131516828 0.436561158490974 0.0604291802338162 0.0626179958717923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.38969501871203 0.439744704056859 0.0623329682291888 0.0634411857748369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.394189185131325 0.444272735210989 0.0665727982501027 0.0666120223550117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.40654916570517 0.454122767063549 0.0973445637535556 0.0958525153879208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.442943913235756 0.484588855473841 0.159453614724445 0.158727242407964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239858310638858 0.262649433710145 0.0190357977766542 0.0177593600671103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240746798910408 0.263566574733228 0.0193109084442592 0.0182220871455027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240856989978785 0.263852147695084 0.0192745006468248 0.0182523138507531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240225191008158 0.262980351522526 0.0190701268295824 0.0178751631414319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242240118782509 0.265862931243603 0.019362980611618 0.0191250699995503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243192182910111 0.267031931565372 0.0215326591579422 0.0213377160468502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.241017377817489 0.264929842459999 0.0184996600561566 0.0173734059030939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240440422124422 0.265058402468639 0.0184587736076533 0.0177678355852996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.24150880539784 0.265302012664046 0.0197025201999117 0.0195770771122508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250646167674597 0.272467907537277 0.0316492930680413 0.0305642643175115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.271828794969875 0.296669946878501 0.0548476197969706 0.0529401012717567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.3193176904779 0.3638473957297 0.0400157752851161 0.0434197338406982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317745486593722 0.362546451045611 0.0396180027577225 0.0431441374791417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.316894554682532 0.362097134725663 0.0395801771435743 0.0434651659782589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.319361652519869 0.364828705715344 0.039460964148621 0.0434862743598681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.321380494270727 0.368478413561114 0.0409778575257315 0.0439585904017757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.3240324518837 0.369713647558041 0.044331375223411 0.0480420385707534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.318025903468781 0.363944359889691 0.0388129339099966 0.0438921188217377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.314423383943172 0.360472120223363 0.0387997978771626 0.0442022851226677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.315473366968168 0.3615893472987 0.0388341426445831 0.0459192337924349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.325865776796687 0.371386156146744 0.058440441558633 0.0637817754654615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.345411414109969 0.3890403765745 0.089576075843266 0.0962318508712296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.379993209237202 0.415268111786928 0.029964282137813 0.0282252426786853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.378830072112945 0.413592254148286 0.0294662509172079 0.02828239883638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.377880524849368 0.413201147152317 0.0296632453571315 0.028424160794458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.378720982069555 0.413888556523184 0.0291599109896876 0.0284508568795847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.372377435631384 0.409151681375624 0.0318203717206978 0.0306191824511648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.373178795974761 0.407139881016119 0.0353506750312143 0.034624867774861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.379426591359689 0.413786489826849 0.0291926067051596 0.027374856223597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.377810884792169 0.411413174193114 0.0297936484374283 0.027679606428801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.37329050281712 0.409241225801601 0.0319417529464856 0.030607544395403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.382512853308718 0.416942637086859 0.0598903975479063 0.0573069584608468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.401266653727202 0.435364808965805 0.116891207035751 0.114008699748169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.423044596435299 0.482820240487952 0.108088868510281 0.116132979778814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.421034314574687 0.480180772364891 0.108455481059743 0.11648031021007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.422046387047233 0.481763111582245 0.108279439612461 0.116928549562935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.422997489090639 0.481438156949959 0.1091112535963 0.117884558519828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.421636105591962 0.477846798737282 0.112430079094684 0.119487990557671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.426418714927989 0.483487413851107 0.117648202570192 0.125473489106037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424342683784864 0.48272644968667 0.107661746787284 0.116014898338719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.425704743454986 0.484779319788986 0.108756747406452 0.11842151782762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424515984082879 0.484085352457528 0.113228812412378 0.122984838071651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.435799233987845 0.487713458911535 0.150739259641583 0.156385002115639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.468031431548289 0.513130822710754 0.229394031054095 0.230276899655023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.392453506373864 0.442942191154753 0.0499296528114433 0.064791614269185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.391854496310408 0.44261002516576 0.0503632059541834 0.0650595447737294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.394367198363477 0.44478354576259 0.0501683630239615 0.0649480529711588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.394039118204764 0.446204948283353 0.0502357340986971 0.0655037745461634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.392938618687049 0.444072552230466 0.0521218212925472 0.0673610546003512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.39934057090385 0.450620776344253 0.0608061574894137 0.077620761542612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.390165378421678 0.44248288317634 0.0493222834742102 0.064533952175113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.395384453827216 0.448762507879025 0.0506084515362906 0.0663659864252676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.390406445610222 0.445696115552162 0.0550371949673695 0.0707919103667506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.403504309037358 0.459170594716093 0.0926189928592694 0.107433921850817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.439751674485982 0.485948996663824 0.166058103972294 0.176590037198275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.293344618526497 0.343295969247523 0.017595846346407 0.0375064064992806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.294165786512249 0.344032288789676 0.0176292975614042 0.0372934386966277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.294114301348705 0.344140034722658 0.0178558248237053 0.0376314571930467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.294094905298166 0.344640556046226 0.017945638284705 0.0378842699294462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.28948916928219 0.343380716487763 0.0193232837301543 0.0396099673350504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.291736364183707 0.344929288126103 0.0220107322154583 0.0415180792392031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.293723150747586 0.344487348704188 0.0176230303950683 0.0376767719091077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.29180875671282 0.343166893462627 0.0182204376988348 0.0378633617070947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.293512587597772 0.342663537859335 0.0196881893570741 0.0401356872294249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.301645609179265 0.347130295432295 0.0371022482410562 0.0534613165979135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.323332822343127 0.366723048381858 0.0676957087542621 0.0830275222384999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.330559807406182 0.436377312122608 0.0177594198123449 0.0191123746189638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.327518665495193 0.433940233338712 0.0177516093296145 0.018917158408334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.326706915154034 0.43205503453788 0.0177843016055663 0.0190505290176196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.327226000556902 0.432181373183308 0.0183510525461495 0.0194126465438196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.326913289334752 0.437353889095613 0.0207401824692642 0.0221844071283035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.321802705378054 0.437613006961545 0.0249241098277375 0.027192842827435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.330393704078227 0.443040404718655 0.0195632289783368 0.0196713780037349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.322003354877601 0.440431886451028 0.019495784644246 0.0199340527846703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.32255045311715 0.441934758700249 0.0220330187985816 0.0217045278369432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.337480393154194 0.458957250477895 0.0439418701043617 0.0473043654635987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.360738378398267 0.485585945446777 0.0953943122371043 0.0974962146211558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213515051428749 0.234665775054259 0.00654341086941124 0.0084702932076508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213243165037428 0.234858035002237 0.00644226865339687 0.00844825170537137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213001459608976 0.233684980399095 0.00637873740584483 0.00824878405260989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212019027982805 0.232509057124376 0.00628964813366528 0.0083836591808666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209753276682825 0.23255859978657 0.00701704656824912 0.00930936100328777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211883785594946 0.232522648406831 0.00842650767065213 0.0102424766355297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213473239624582 0.234595472733401 0.00660802511504527 0.00814333054951366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213201792608105 0.234770155850129 0.0068855097907184 0.00842079263146765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20984268512621 0.232787966838309 0.0082234736393108 0.0093004162678247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203885188418927 0.22443547993518 0.0152010728770415 0.0152511574936641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21661570361702 0.235983841256102 0.0299785105939169 0.0285280118249537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.2600981206218 0.315415357177903 0.00869085667429224 0.00861983746479069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262239026368996 0.317404993346953 0.00865574899405058 0.00866638780420449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261050195255886 0.315945960533139 0.00866459500627349 0.00869083543156346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261453749974137 0.315629902475955 0.00863009257179516 0.00875034422639267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26398669634822 0.317417092890347 0.00958623533641496 0.0101289163854075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264883785704486 0.317967701809351 0.0116028020789175 0.0124045279629579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261732180064525 0.317831565169823 0.00862999051481677 0.00866502880958047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264135219178519 0.318153568344156 0.00882486870214285 0.00879867299521518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262926852715157 0.318040524492144 0.0101252810328592 0.00990466481623554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25154100583779 0.314374334977269 0.0211527327045138 0.0230081678511743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.263474635243485 0.331888300758406 0.0471361099148257 0.0491033915758768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.427076913654099 0.476839002282649 0.0799422812893129 0.080079876274293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424145226318821 0.474641399196072 0.079787585932531 0.0806205430123748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.427157822084466 0.478044323444013 0.0804465072446238 0.081899564126224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.423842518529352 0.47530438470084 0.0799812437205834 0.0824407585106994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.426766613113312 0.477646176887989 0.0844302472063092 0.0869985675188799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.432102836662315 0.481245169433483 0.0890734432350241 0.0944953486088398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.425320581422879 0.476568295479909 0.0789879885833058 0.0822922346521182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424995918675134 0.474874059557691 0.0805781112100258 0.0813293656675993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424894812265107 0.476254126283969 0.0833667900251353 0.0819527879973796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.431177993914676 0.477092880579877 0.115950508179597 0.109361559299437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.473179959599754 0.51256480969391 0.184889046567492 0.170166307147981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261246677140693 0.291294346539893 0.0178416959117958 0.0217822269370153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261751405856664 0.291194957530923 0.0179480373643272 0.021626844041772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264097621725132 0.292591279393819 0.0182470693717139 0.0220300402526675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266007214161864 0.293516239747942 0.0185100412972649 0.022065303606366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.270666903676598 0.298277376428201 0.0192518693886693 0.0224468742304338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267561275494278 0.294393354031671 0.0213830840868346 0.0244629752173719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.263354745681675 0.293880431335 0.0181190150720108 0.0221722753539347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.263421056231645 0.293657141664721 0.018178512307402 0.0226540254321555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.265914426200046 0.295917419374116 0.0187773362683042 0.0236971629254944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266086527581267 0.298305220693649 0.0281712669423368 0.0336004375028392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.274202060200767 0.309619963089395 0.0481446938196378 0.0531811343862609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34857572828082 0.391515309965152 0.0543508241689572 0.0547876499733835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.347889858974755 0.390305448979046 0.0547403527060783 0.0549747080649522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.348947632877638 0.391437653854377 0.0547645613894658 0.0548053399047837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.349520871627606 0.390938889182256 0.0552261321291733 0.0545009618823128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.349092097880259 0.393171434441193 0.0551230707678251 0.0571069498167765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.347823913964455 0.395185804378604 0.0532577993222895 0.0604225325049523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.348623293580431 0.392418280294047 0.0542168488101262 0.0549533329663916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.348919221555072 0.393728544967418 0.0541709382273563 0.0564499447873678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.3511040379218 0.400075250900418 0.0524174493860486 0.0598536223565551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.345970480477888 0.39837235039213 0.0606804574070178 0.077850543849295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.373400427116469 0.429818312231971 0.090303996585133 0.112746458517138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.403689404958306 0.440611719420738 0.0327395304958556 0.0282685603344958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.405535639040048 0.442243182327786 0.0325613632550558 0.028037128877955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.40546930630773 0.443085562978833 0.0322558184475613 0.028234638887558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.409183128902825 0.447046297320423 0.0323255723751896 0.0277342384906902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.413438115385789 0.452005441779937 0.0354595299771236 0.0304402987963004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.415627634828655 0.453481711970887 0.0418076712050824 0.0347652485293254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.411799823357818 0.449391610685791 0.0333332411337947 0.0283027472036562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.414556144046882 0.452181638629776 0.0339448458951146 0.029089313259329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.415780723342878 0.452698830131367 0.0357423056054394 0.0307037857460524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424335354784038 0.462432190953344 0.065397514188573 0.0600061263176463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.449740317433378 0.488300611465038 0.123368900288746 0.117478401437205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.484834134395406 0.54215082990194 0.139017903104396 0.130711647083307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.4842493863436 0.54233716089918 0.138783914803663 0.131098959141999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.48446970974502 0.542379421214181 0.13866643165827 0.130982407496307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.4850351438711 0.542497095065834 0.139083839615849 0.132377124091088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.484525308109764 0.54151334067162 0.142183473794528 0.134332710474434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.482086928804312 0.53961395878089 0.152267905727518 0.144255883754858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.484191442492277 0.541682432739675 0.13734358826742 0.131073586368262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.486063017979941 0.544993589348197 0.138250525728022 0.131756770491309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.480878223493876 0.538948530293799 0.141039494183008 0.135637595917607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.487808722765867 0.542527006253925 0.18576226195447 0.178548681426101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.529240925293461 0.573210688190694 0.26129765975868 0.250259105582271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.446229309907781 0.499050571002562 0.0849422085169063 0.0686746055027818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.448050777301783 0.500095296867456 0.0852023950857016 0.0689490860144979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.449187995478531 0.501065897750418 0.084988567318922 0.0685660776532932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.449276321073979 0.501413183955719 0.0829952332902781 0.0679380514055342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.45440823432046 0.503779043824301 0.0879317646557689 0.070051229708017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.461890912021835 0.509028408943642 0.0915795712468051 0.0742662618059605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.446659470165095 0.498046728000681 0.085941384504675 0.0692068112630525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.449709976492785 0.500580898348789 0.0839736969167286 0.0692472390601779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.45246158344365 0.504194174454146 0.0868942663812871 0.0755347635545951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.448612438049237 0.496882751359686 0.115226893030485 0.1053824880359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.490304967073125 0.529082933544651 0.183302530626224 0.172936064203041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.306640938621681 0.36351609093921 0.0184536538803957 0.04208881036796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.308865941432955 0.366024448619693 0.0185754845835214 0.0421767300712057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.306021305457175 0.363923547054223 0.0185916978848736 0.0421830125453719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.307452075024846 0.364535921660694 0.0193016345017083 0.0425036411435301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.30845674132194 0.365721949890628 0.0209329163654488 0.0432445533026878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.310281210790587 0.364881823140615 0.0242586753692331 0.0475532824513954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.310247623642709 0.365942981272282 0.0192255081169533 0.0427625951065026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.309438388788975 0.365042486016585 0.0191898711150526 0.0433656094098605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.30871380725526 0.364911429018564 0.0205779065584715 0.0452095576553124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.325770172150375 0.383600837757007 0.0413023012438562 0.0623248365292208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.343682996130629 0.396689962404905 0.079272229192092 0.099923564667224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.337346488529045 0.449558199265143 0.0182291167962406 0.019399240296864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.33714284015619 0.450681893495374 0.0179678874865259 0.0196497420029283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338859628626086 0.451681075454283 0.018452092568462 0.0194746959426467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34183399779734 0.454059628710454 0.0189183090332798 0.0198976069112486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.347965869199215 0.45976682065012 0.0202874126931789 0.0219546135607498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.348585164363052 0.463562752412506 0.0243731970049029 0.0268587670055354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.335786097199336 0.451731991093283 0.01861286687317 0.0202144702837027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.337508507462412 0.45361862885388 0.0192245520411693 0.020679374357811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.345682834677585 0.463900017719601 0.0223590196204267 0.0228576822259407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.342923216135835 0.462424484699958 0.0479786224004938 0.0485583921689692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.361486460306558 0.48730443938829 0.100408361268097 0.103154169349777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210731069435953 0.232000692037321 0.00667163847375237 0.00884089690922876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209776057862777 0.231204096568424 0.00677991558257084 0.00875295399934291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20926584738664 0.231035048444862 0.0067087653136666 0.00873209727515013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207972652960324 0.229919220109233 0.00647359867713857 0.00865519057283598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211318149376212 0.233797532933672 0.00721837477513621 0.00959923962436775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212456437410804 0.238636123860856 0.00855237186968423 0.0108383167935047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207495126125596 0.229098729863972 0.00681348648335024 0.00893232480977067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206001726291513 0.228450039362683 0.00699478033573519 0.00897654355965584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20467930020263 0.228703460217071 0.00749050040160712 0.00940438502763883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208293483365987 0.238681619235171 0.0143381255663495 0.0148819240469095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220884119773333 0.250127444922605 0.0334580654165501 0.0271841152187553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266613529337501 0.313870342188735 0.00800994026451398 0.00839098816711934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.265962436018367 0.313390358407717 0.00780015758253158 0.00853507044822054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266093702890191 0.313259098448695 0.0076219069357789 0.00869187894918423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.265582402942589 0.312447057037921 0.00781635896549165 0.0087083929979753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262298387206462 0.308452332329391 0.00926447921387679 0.00967722795969483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258680391464951 0.309161719561374 0.0117359380579597 0.0127974067678043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264638712978923 0.311036837625711 0.00834266047336972 0.00841476915447496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261202759919101 0.310062474294973 0.00840252284634275 0.00898123216319339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26071461884225 0.311141465420528 0.00997018147294305 0.010656363951626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261475678652529 0.318155950518633 0.0234169199260546 0.0256421742552464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.273572032154372 0.331793210092287 0.0493048333022007 0.0527848091031602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.425138601467867 0.469194356322301 0.0821808505039463 0.086183851909837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424492555985603 0.468669542757446 0.0815696189648538 0.0867266576998045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.425340744959588 0.468345536909569 0.0819740034798403 0.0867812208586887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.427096290926077 0.469870278976968 0.0823838795005442 0.0865392400728068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.428914262074935 0.472926036813215 0.0850393529694834 0.0885321685842883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.43019996041851 0.47550248063202 0.0901427423408235 0.0919471304435575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.42805824467434 0.471858271528558 0.0812265162595241 0.0859647837982503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.42322192427931 0.469338946890669 0.0811100913084403 0.0866935921140746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424702849542789 0.468908659054106 0.085032721098616 0.0880473749835964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.437288093754353 0.475820544346222 0.12052382203888 0.116148684448857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.46313796674837 0.495685552262949 0.191250894765535 0.184011228670649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267556736703493 0.290145047881968 0.0187963627937799 0.0221773030685661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26883875987676 0.290871505479844 0.0186599811671148 0.0220912024899369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.269449123088957 0.291708077500028 0.0187760253015718 0.0222997826480234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267308343700158 0.290669731924362 0.018274714624767 0.022276443362576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264596875201132 0.290972648350998 0.0190433377080643 0.0236415670910917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.268238644466039 0.294556454072219 0.0211300461345539 0.0255190545301899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266473893956693 0.291639869195661 0.0187240809003226 0.0220203053666054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264521282641025 0.291585464467004 0.0185977360324066 0.0222163407954133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262034954659795 0.292903844281551 0.01854960332007 0.0221786772101671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262117287369892 0.300877493546552 0.0303870778286195 0.033095062108745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.284210951500876 0.327330577696955 0.049821447526039 0.0542449115647944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.358300352343202 0.420371174598239 0.0339158318813134 0.0650233624059312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.358514001692205 0.420804602591777 0.0337686479653768 0.0651527796365989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.358184721063408 0.419717334311002 0.033902574806754 0.0652243726653422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.358020999651905 0.419100140354342 0.0340310992317724 0.065588464470254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.361637878536006 0.42086103885988 0.0381330531800454 0.0665196529238707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.360388915712688 0.420417401637656 0.0422651521729621 0.0688906097297051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.35613449979165 0.417315550872051 0.0334382433771741 0.0651312574468234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.353814222363512 0.415995681291628 0.0334507935396775 0.0662726839724501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.359489395841172 0.420861214659641 0.0363871591841667 0.0679962597060469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.357680645156676 0.41950895646044 0.0538829592817959 0.0849772407042387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.370458310313068 0.430179430108523 0.0943728028351962 0.125270292110984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.421065073609495 0.457480328570008 0.0337838244362275 0.0272461618291307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.419701172219526 0.455559255859765 0.0334936459527444 0.0269193029977704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.419348302818233 0.456002656597011 0.0333642242396501 0.0267525958060592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.417528249545592 0.455477625837397 0.0337086407527833 0.0270415490394312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.410057312169626 0.448944923416988 0.0361905055298497 0.0311928005602609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.410800380425254 0.450708222671782 0.0417028984904366 0.0360934374351543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424071730535014 0.460673591758198 0.0336762225966253 0.027663292700337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.422181842969585 0.459698867496718 0.0335421610962486 0.0279626271426682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.421079133878029 0.459874839674343 0.0367702706355817 0.0311838696716464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.41942943561716 0.459141913298478 0.0632458882744851 0.0609880086738931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.431458088563136 0.464931067078796 0.124839896601089 0.122982012746495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.479545109247314 0.533803828693487 0.140262364754189 0.12665714280698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.478990303830805 0.533023320600908 0.14011669897499 0.126673205433001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.480471783310777 0.534067785801678 0.141488222119135 0.126538310744385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.477409908978873 0.529921697574295 0.14235417596838 0.127432524415021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.481338382847966 0.535376780059471 0.145912693812945 0.128900537231988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.483412791080459 0.538310212309802 0.154260551788463 0.134726437871445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.481833072188156 0.536366108356657 0.139687589707799 0.126547912119314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.482250967889061 0.536307206047178 0.144167711338064 0.129739011353562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.478524273029951 0.533986661843187 0.145224014665406 0.134146254063347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.490061097164058 0.547064283797729 0.180802434392576 0.169272065589124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.525451004805526 0.577547011213104 0.263145599967513 0.246875326487607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.4319615466038 0.474139371845147 0.0858420508322853 0.0692690643799659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.433307943642911 0.475775079034217 0.0861041714631044 0.0697325571525634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.433954491619716 0.477465836407621 0.0862079608662557 0.0708923760621037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.436341231701068 0.47971331375386 0.0870354076609119 0.071251230503778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.439150108553671 0.480051390035773 0.089414204194914 0.0738063954788868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.45010783584848 0.492630700057117 0.0985132713610087 0.0812042410543981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.431425682754235 0.474940294249527 0.0846582536864552 0.0694182130657926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.434387664072073 0.479261655737209 0.0844157189670633 0.0707218160736186 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.441352658121603 0.486577999267996 0.0871551246631287 0.0729725905997596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.460700118795922 0.504867706150335 0.124471277323686 0.111823740208874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.497133279010979 0.534744504072305 0.201250839933336 0.18891027116045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.316235407277593 0.37461924887886 0.0180387977939061 0.0431280463988122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.31844986521609 0.376056886982408 0.0181737469193964 0.0431520390703358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317699125334169 0.374594400477388 0.0184044781800977 0.0428467484724265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317836794767552 0.373533785515359 0.0185068681825191 0.0427604352451313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.320109118110111 0.376783414280169 0.0203371628660834 0.0443020347281259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.323602269042911 0.380458579144474 0.0242658367908691 0.0476863485951811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.3165043854856 0.374996687478928 0.0179912706746213 0.0429351092497203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317836304553218 0.376465375927262 0.0181778676839093 0.0432512887384804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.314382013008219 0.374395803431168 0.0199659368507384 0.0459488382416907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.312684517848844 0.374552313748781 0.0428074851245845 0.0657404864950453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.341544204051784 0.398250499356533 0.0859149331115404 0.102833482407934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.320351399520219 0.416056085414351 0.0660636290637601 0.0172276045537497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317399536056422 0.413633793089546 0.0627710682954765 0.0175514182784582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.318639964900257 0.415128687953187 0.0632101746480973 0.0174052435580101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.314545763995201 0.411552204356258 0.0653508484239735 0.0183710477501582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.311585072216171 0.410881919227863 0.0577455854869393 0.0213493924077784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.311233607869635 0.411565699282111 0.0691403223971907 0.027743531185235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.318890043371767 0.414641440094175 0.0625004228164673 0.0172181845216474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.316592547530158 0.412029900138939 0.064398101172771 0.0174762001674586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.309388870404721 0.407692362937858 0.0690003440338061 0.0208173198248345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.326271127340155 0.451946712462306 0.133013157815833 0.0635301338274178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.368594929524177 0.512176426044808 0.224835184061525 0.149269249715602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242193561261341 0.246521720207427 0.023777759189442 0.0349405613753076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.241928331940155 0.246530038358374 0.0233251159544013 0.0358297231551456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.241068095568999 0.246070121303538 0.0232079255075464 0.0363562393467306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242896893147872 0.246890496441608 0.0245072479296531 0.036016063951284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.241974782532019 0.247912300058409 0.0269922699681039 0.0391830814220036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.238817208507403 0.250631499554092 0.0292589037050133 0.0457258587187825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240173114112521 0.245255551259151 0.0231033948098793 0.0339681495235194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.24053097025321 0.248918047370402 0.0236288813018294 0.0341681978065687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239971316722212 0.24856821370374 0.0245776434022734 0.0342630016127992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234783227923768 0.255239346258108 0.0352094454449496 0.0502301216943352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.244810302004261 0.286787775656962 0.0721713848217373 0.0941844297000514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250132449647733 0.267332921871311 0.0645086526455829 0.0117568064980989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.24993176751898 0.267344080365941 0.0640924130339914 0.0117825028718906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248005428932298 0.26544754174754 0.0630410228223352 0.0119591885475452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248132290794154 0.266689545754919 0.0617067152935287 0.0122669840751053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247752645393764 0.274175937344927 0.0577010994278251 0.0141793202610454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249706837475501 0.281617623301499 0.0681646832094051 0.0195646471580504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251304230987096 0.266439440117592 0.0698288126966403 0.0119831735130841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256639450744961 0.267183355313344 0.0819549149245629 0.0124307339088113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261090701793041 0.26962345279236 0.0989750834755601 0.0148992280199075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.281374799467225 0.297087201116659 0.184688818351967 0.0419664491977336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300148545995997 0.329568617837667 0.225388867468937 0.088294592226005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.447401913092104 0.457787788073592 0.165106365286422 0.145895564905458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.447938313072427 0.457728379390919 0.169889973216452 0.147876526160762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.447159665459093 0.456513962055241 0.170161688716366 0.145965978369218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.450047049176881 0.458714106502322 0.174639855426292 0.144256394622571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.450657287716501 0.457688908386802 0.185756334063909 0.14259429403295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.449004624947999 0.454295597512711 0.198622543599105 0.147619529928628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.450693186374813 0.459898071660316 0.173234306058674 0.150964829435586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.455581160461189 0.463604688473835 0.176695819883684 0.151193535014654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.460210308786451 0.470553578630865 0.185796660244591 0.159917047510373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.481142539655811 0.495223269401569 0.231866825538266 0.210328685239211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.509940225086652 0.535685934283425 0.307164615423826 0.292574644334698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278639411630281 0.283892454907813 0.0456424335944234 0.0559802016622924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.277562530471195 0.284671645399287 0.0453630238059114 0.0569538123432954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.276328476573795 0.283762521624897 0.0458537918248043 0.0577695087615804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.275860112358005 0.282200315510696 0.0447473169241705 0.0544165715310017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272774224365333 0.283603770358235 0.0478033851326144 0.0537132312742945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.268935074157317 0.285465954810454 0.0483624728809567 0.0588589474526316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280050982756012 0.28480613382559 0.0541747468958075 0.0605851903702135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.279568052394343 0.287203395701854 0.0543383993250819 0.0633100626348198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278222374972026 0.286657471902263 0.0577430754735217 0.065320020250176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.275849279532425 0.298419255708179 0.071619158550532 0.0842627777177236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300477349843669 0.346836152886031 0.116393598907452 0.140379005713203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.372475139336491 0.374676756798089 0.0964956422415179 0.0747341043250626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.373510080745457 0.375080999541876 0.0975493155346758 0.0744200498696943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.373540693955498 0.375473497190336 0.096685920826846 0.0745750992085137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.370493956565027 0.374112556565411 0.0953077819257906 0.0740137918135794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.36664702213343 0.371896232294715 0.0994047967864859 0.0764022210414836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.373847893123777 0.382864960384815 0.103543549803648 0.0793752512129928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.367840735106195 0.372952610505673 0.0890606958708213 0.0740548092944469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.368835812509236 0.373189541600243 0.089142838689611 0.0742664701031244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.367039223170588 0.374435184930048 0.0930810729687091 0.0772165000064042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.365731399692627 0.385631737405646 0.10936990702994 0.103955222233971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.389599444326793 0.411752801917659 0.171955027023633 0.148929321303275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.398368698027219 0.401725625704571 0.079792001616426 0.0609886098992239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.396867205808498 0.399934452552097 0.079114589984003 0.0618021576094958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.39720015194942 0.400255298904505 0.0803499227574334 0.0621724116647089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.394893345807382 0.398185625936277 0.0838009861379448 0.0646719555974799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.399150495499583 0.40701443735414 0.0873656315308741 0.0744834308143565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.400735002300681 0.413565420503866 0.0894910395603393 0.0810878340085128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.397463919868291 0.399349749879335 0.0824936479221071 0.0596652903966167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.395724834670494 0.398617076208386 0.0836886635775651 0.0623273976872707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.394639827000535 0.400483733926641 0.0853899674229569 0.0670993829021267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.409775275008004 0.439617147469229 0.128915035355001 0.116496694936768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.457488770835933 0.489937434834569 0.238991756726614 0.214373860158386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.467590936778219 0.491023985300495 0.17931750977667 0.194007263598122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.468834516722534 0.492040403414257 0.181667443982754 0.194986942301046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.470257231949672 0.494185309403042 0.183367711136428 0.197905728076453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.470364829322815 0.49301457168137 0.186093885796612 0.201136902329695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.465130276087242 0.488001097213539 0.191459776600097 0.20414680777689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.472973868017901 0.494901883420051 0.201463803023693 0.202606346465478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.46610641980338 0.490183258255364 0.177573349776479 0.192854270429244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.464248955851563 0.491253872142076 0.174544328568727 0.191826628457265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.461009710369714 0.490368607979463 0.175747165050331 0.190751298029152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.470301576989467 0.512194031545008 0.216091506496997 0.215413110838479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.517520205796547 0.563040108383048 0.364160228455934 0.3346047431098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.474571858013404 0.477526206252029 0.162148372500946 0.145460063036849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.473682899038893 0.476087656821255 0.162326969465046 0.146354715457153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.473776095387749 0.475577942379062 0.162714042934317 0.148019863973281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.473085676536739 0.475287295137574 0.163420188585502 0.146582305296981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.475429606520041 0.480648814684848 0.162860203481564 0.149578365549737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.466370713014903 0.478129834028521 0.160220301274682 0.158614453655478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.472853054474814 0.474716903928046 0.162304681664772 0.144240368587492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.466804042469835 0.471928382822605 0.1608775522636 0.143886606751637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.465467272636745 0.473499399765033 0.16276302461397 0.152724742699256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.464347771098869 0.49319621425311 0.183536061479716 0.207060264658119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.503763760902326 0.538581281350677 0.295471376346872 0.320819756696303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.298614762027313 0.335833036190186 0.0234342230553466 0.0465742918441264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.296363776268727 0.335219669784075 0.022895351733233 0.0466616915629696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.293653933464019 0.333527295067745 0.0227542474257561 0.0465596289695506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.296360873088395 0.335757022217637 0.0234859621572488 0.0466136166166701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.295474342864085 0.334452904782456 0.0329776093269158 0.0484558735582521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.297507203031147 0.337628250621807 0.0440706304158646 0.0602636735442747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300436712569832 0.334169239600746 0.0268630089792766 0.0472787694834022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303492278103386 0.336073102594351 0.0301095528100975 0.0482247086103981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.304985826358207 0.337593949390739 0.0367514316438033 0.051757361489118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.333374600356178 0.373124038885872 0.0950237073415332 0.0912132569058265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.365654632956839 0.404119234835728 0.193005021942055 0.149444410924688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251122031638475 0.197498221052055 0.114644414092499 0.239355551371017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251208053696071 0.197599066204673 0.114686154233026 0.239531379019533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250924108228764 0.197727565862011 0.114659087959828 0.239632696593312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250760172063424 0.198103610583698 0.114613712739195 0.240305189061071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252290472253559 0.19940396809107 0.114900338478196 0.241346394206237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254093997405522 0.20097021277328 0.115436478946232 0.243143721981803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250578787339465 0.197526876974251 0.114795049620713 0.23936129488262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251227852395391 0.197202381233377 0.114889193961468 0.238405471768917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252605563285145 0.198166898897067 0.115089629711607 0.239158296762162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258240039369446 0.207038744237135 0.117377007362246 0.249215660780084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266298797697696 0.220180082488352 0.122039401471448 0.26506397075442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.740688183949048 0.714042973635679 1.1045075751432 2.31180377556827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.741061312651447 0.714186686004512 1.10460677008652 2.31217728012074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.740953823232654 0.714263753002905 1.1038132994263 2.3122042592439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.74136209669525 0.714801584899561 1.10455503413605 2.31459599664756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.742842103301213 0.714767681434833 1.10668157137221 2.31828810272633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.744026650263341 0.715725816483503 1.10907940774134 2.32323729842939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.741602796598486 0.714552357962514 1.1054598789676 2.31561123732451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.742055020770463 0.714910191354594 1.1064757149395 2.31780220823124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.742176634157816 0.715440863125473 1.10596379946786 2.31997837801223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.746651345809374 0.718544499089245 1.11439247313028 2.34033774801909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.751166440362703 0.722843087459444 1.12648241932165 2.36511784618371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177106410561095 0.192287993887327 0.146601281088569 0.168012987348824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177333874838865 0.192155760264684 0.146619452788896 0.167656923472451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177668738647076 0.19225042057191 0.146596091458466 0.167712574749134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177897467156515 0.192617868637043 0.146459787869135 0.168027260991198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179162464954975 0.193737154315372 0.147076851144857 0.169206555177153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182275829502814 0.195967124711792 0.148415900993296 0.170522786139581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17776738209846 0.193464958635522 0.146262152931545 0.168905079535796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17777959193346 0.193394869560922 0.146455144957854 0.168597859614511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178734436249768 0.192838171812483 0.146740466613588 0.169131759995323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187758099952052 0.198565590499286 0.15189815599238 0.175464562984027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201115788608561 0.209493418324056 0.161625494379681 0.186745599339069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1534764068173 0.148483034769334 0.120619525819478 0.120704618874754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153591474782648 0.148433291867862 0.12068589392334 0.120626424056515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153671712636401 0.14874921170381 0.120763093880815 0.120696246300465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153870732281015 0.148846579133343 0.12098925964498 0.120816094385601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154691877182427 0.150368486651525 0.121798838794217 0.122083539248878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156775112051035 0.152436701733415 0.122566815386399 0.123510604880293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154016092260585 0.148688719427673 0.120712736452107 0.121110370310461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154034359132057 0.149545491729374 0.120921409398588 0.123382938192936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155106481219164 0.150882457106947 0.121624615794258 0.123529228551797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166173601397084 0.163048398969607 0.127671789938518 0.132063948311154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183001298384952 0.177491129075432 0.142965919206498 0.144158744112105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250602929574055 0.215736408904761 0.0943912284327714 0.206627873159544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250411548819368 0.215964679497045 0.0943296808342226 0.206883317963542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250382966306129 0.216084482319186 0.0943276426328139 0.20706976308418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250885154777238 0.216532868817987 0.0945877395870251 0.20744416466217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252529804031685 0.218812546730731 0.0958373545197909 0.21007003613356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254357482424406 0.219980764313031 0.0967137055558602 0.211175582519401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250147363905596 0.21563362368933 0.0943184056008021 0.206664319509571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25037282393998 0.216570592401371 0.0944564751880074 0.207426277619589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251288214145501 0.217685237525842 0.0952915936810206 0.208868400443732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.259238670787554 0.226283101532157 0.100690432163071 0.221100188563989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272492578426817 0.238745664837882 0.10911856956704 0.23828333354904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.341918392398094 0.360444360413437 0.440310150370022 0.494839512688038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.342090560321249 0.360277328632528 0.440385164885274 0.495263052155707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34210134341806 0.360468451622911 0.440598991753707 0.495589192574483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34256363293747 0.361277255393879 0.441229868841772 0.497587946150954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.343322473724601 0.362455538208251 0.441581993476146 0.498822936840439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.345191830735415 0.363688783522454 0.443485049202917 0.503059384571837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34197487947631 0.360393872958886 0.440902564704203 0.495149452493266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.343174190989696 0.361889291246332 0.442726358279559 0.496618955940417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.344270548998773 0.362838904873225 0.445333710206566 0.499019291889739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.351775304721282 0.367149064349729 0.453511232057163 0.506403240022527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.361177301726026 0.374892042418336 0.465097971217654 0.521628082185373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.2246398852074 0.175786450599007 0.072503067126635 0.180639583569147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224480262513157 0.175861745401198 0.0726224035811601 0.180669648658691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224728328690156 0.17574950174622 0.0726926294976123 0.180357887102836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224833394931865 0.176024182562461 0.0728163440412693 0.180781541749952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224594542479831 0.177306691396692 0.0731931338617945 0.182346530536874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.2258903227852 0.179224944353353 0.0738144950907254 0.184091839741622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224716258300387 0.175967645903732 0.0725195009774292 0.180848406285964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22538168497419 0.17620660382721 0.0724547988609395 0.180741198767569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22525222440505 0.178186926502359 0.0726102162224103 0.183268132963041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232734221825391 0.18824885635194 0.0754898135738966 0.192899083086712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240860896273558 0.20338356444549 0.0799148161158161 0.210899051928847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.530321282595128 0.545098307998346 1.18950292024718 0.946779722568596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.530500374573006 0.545110859387783 1.18983823885708 0.947126679262249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.530952646084225 0.545354522902267 1.19097307524561 0.947539888102672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.530803694443834 0.54540840894259 1.19053020713751 0.947442374695601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.531567509493519 0.545833036685698 1.19182431516895 0.948843330598629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.532272377497908 0.546520519625762 1.19242987920427 0.952738663782067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.530757848860116 0.545216499726125 1.19027617693417 0.948170529068705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.530964527186787 0.545599660874527 1.19058641754321 0.948535898067253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.531570552477395 0.546389280871347 1.19228547661436 0.950211436363586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.535218913916314 0.546202626069271 1.19746696232786 0.957104840466256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.5398312622522 0.547504359631126 1.20672719932974 0.969718842626068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202913417724031 0.169998948425565 0.0763748303024619 0.166331303275107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202957031549078 0.170005382201941 0.0764802453577451 0.166365098521081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20305106814813 0.169950810368545 0.0765655430919498 0.166293633972827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202928216676932 0.170185884712743 0.0766144086030534 0.166674441311964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203175589238349 0.171752462275819 0.07686626801823 0.168595738040005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204716913089793 0.174308590683372 0.0775391098651516 0.170794129927425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202770922687287 0.170261537065012 0.0765105136767798 0.166710125904015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202871743567375 0.170409285591828 0.0765460093747038 0.166914246695337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203039632634895 0.171932483851156 0.0768349110342659 0.168489320158432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212270633616977 0.184468061410565 0.0806462675862364 0.181237577508485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225897629970806 0.202410372453188 0.0869795716798474 0.19977521422966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172128895903635 0.11565655018799 0.0231633042656477 0.0686103946335994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172151187954535 0.115609273888782 0.0231872420586718 0.0685624140036996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172037099383993 0.115614593225287 0.0232087448683839 0.0686164239239402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17236089371939 0.115797506593363 0.0232712733105481 0.0686651286970002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172328398493244 0.117765675190303 0.0236509311936338 0.0700753369494845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172834547225053 0.120453837035217 0.0242189442913341 0.0718550990294564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17236182346586 0.115681458773238 0.0232441881717097 0.0685855404115067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172457799651367 0.115903519202712 0.0234186918578787 0.0685013119977946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172692170232955 0.117518480842356 0.0237430983970619 0.0695018991714528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176514066949972 0.128656413287178 0.0267511628817542 0.0770368174673874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186947239086506 0.145207568964251 0.0322979352990138 0.089813152378848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161338787637507 0.116555155348522 0.0456105989704024 0.0738111149386561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161475268130238 0.11662568353988 0.0456844924433513 0.073805453004574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161394572529933 0.116584632339197 0.0456431368722412 0.0738940590459603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161104573484572 0.116628615662039 0.0457733834471013 0.0740402298809025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16187853807518 0.117662373995942 0.0461973570226547 0.0747522221724516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163243651684151 0.119280048407393 0.0464705844698408 0.0755561782250201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161248131095464 0.116843305224984 0.0457548077419735 0.074180015218106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161818709897225 0.117162244505462 0.0463160075177315 0.07436022623774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161787504150008 0.117926867514588 0.046323358455321 0.0751986067634186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167562575691202 0.123034781337298 0.0480803465840261 0.0787737219858859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174751622019138 0.13313711599035 0.0516772170934843 0.0853685139807667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.607263549830351 0.577611583479688 0.826308367510263 1.61716483558548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.607344285808024 0.577730033857083 0.826640962625258 1.61786144535246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.607548362392223 0.577313204634375 0.82706038017212 1.61696654873765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.606908375592698 0.577087398704395 0.825408836743714 1.61608619229993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.606311347527323 0.57758893113652 0.825144820983972 1.61887996313011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.60624888688207 0.578963698775264 0.826303534394142 1.62475157816291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.607142169789271 0.576976814698099 0.825669710774391 1.61554892207165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.607142193486732 0.576057202244197 0.827602256564156 1.61154892507992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.606666977590794 0.577725019325838 0.828144442238262 1.62181823848111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.609454564119846 0.578371455841165 0.833392711907476 1.62264694376696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.613675614865657 0.580952188675373 0.839300982409133 1.63214732217856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202764853423288 0.203320975307362 0.19099776328005 0.231300651507535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202626050697542 0.203585970557176 0.191003029665343 0.231447379791092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202964122390354 0.203776672521005 0.191030471282556 0.231493879490874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203128003656989 0.204599028228798 0.191134087540856 0.232090015978462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204436324470957 0.204671613985979 0.191138312702972 0.232657499174299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206981948073506 0.205317664320247 0.192103811393499 0.232809093260397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202922301123547 0.203860333629671 0.191482910212956 0.231922098213723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20305695855462 0.204327958525922 0.191662120318058 0.2323693334002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204862236072125 0.205231718314754 0.192035347425078 0.232403371912313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212420760844107 0.211479586953121 0.194308929099592 0.235979256303256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222723899779494 0.218664294628987 0.200791391679868 0.243174055563911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.10074794092374 0.114315242906869 0.0366183532115996 0.040577592064499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100924592921348 0.114413705346404 0.0365708413375285 0.040499496960658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101314429021811 0.114603913100929 0.0367644559023262 0.0405659544342834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101843032751498 0.114973735850838 0.0367900112618437 0.040656638752552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102842288980406 0.11453991510284 0.0373989655959925 0.0411336875043239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104483690973949 0.11524609271451 0.0376606530880008 0.0413284863470255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101511778494725 0.114705494469477 0.0366566716205671 0.0405640645240352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102169359090418 0.115146723535465 0.0368212197254203 0.0407486003362301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102790224729788 0.114877752255192 0.0370507002273541 0.0414202207738598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.110999331650796 0.121294558890254 0.0395632650546944 0.0448544073452565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119396485076551 0.12888813188617 0.0435344155213528 0.05130596109142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155332807763364 0.134519768119191 0.037835179046863 0.0635524510680516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155314660495185 0.134530881302078 0.0377802679617571 0.0636022684259796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155357889196947 0.134447688751381 0.0378745272590843 0.0635367811690614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155130465210135 0.134372311157417 0.0377168593551796 0.0636479839935019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156651595186665 0.13604275881501 0.0381251462481138 0.0647586471335766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158081742081832 0.136298830236492 0.0382013695653206 0.0650494402026106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156066696239865 0.134562218207309 0.0380139293073758 0.0635845493898322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156000639486807 0.135034510318239 0.0379426388489023 0.0637512401241044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156958220938621 0.135814620254772 0.0382298850712169 0.0642941715730648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161929867191181 0.138855825501576 0.0400501294172276 0.066854629817438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167918091482377 0.146596073812073 0.0431326525607466 0.0733388315968463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261767170390956 0.28401749523063 0.248041997606282 0.279424451142213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261917712052603 0.283681172373711 0.248885274599772 0.279374506525592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262240297136189 0.283655491902155 0.249219586991131 0.279590622250022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262450627406571 0.283155742544978 0.249842101988034 0.279584548067734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.265028162649204 0.284198082131941 0.25412902913181 0.281076085994276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267873646446017 0.2849217546741 0.257620515570912 0.282600836260563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261194537489573 0.282636837111595 0.247505687710667 0.279158960427488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261192381056611 0.283060580886451 0.246865990824641 0.278917525490397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262731659768967 0.285036104600612 0.247863868603384 0.280303919715979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267254107400665 0.2916737248404 0.253619930728375 0.286862580993557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272548231025172 0.293912694394432 0.257711732854996 0.289763553434525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133046645162658 0.0955590178756118 0.0206618873338532 0.0344144295851278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.132958614736942 0.0958302952551521 0.0207177015184081 0.0344854336454744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133529030958841 0.0956359968721093 0.0206426848989803 0.0342758265590332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133595206739661 0.0959548078027804 0.0207620475036549 0.0343413270938213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.134400644679436 0.0969533549410955 0.02114131524468 0.0349447439545133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.135051100481165 0.0987479435907261 0.0217689332026474 0.0355788949840542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133495786696928 0.0955949057890168 0.0205598060038656 0.0343574166818728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133363588802472 0.0958065918576213 0.020691252785293 0.0346637654173474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133768921003424 0.0963339591408716 0.0207476573882198 0.0350558667299282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.138887982482444 0.103885096846124 0.0226469362556882 0.0390201036540845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146852342626647 0.116625842932289 0.0266564387585357 0.0465524477381208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338611573475889 0.389951833230492 0.608589514469767 0.498831258061169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.33871768456083 0.390227656536521 0.60865316949013 0.499221864162907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.339035636358661 0.390110577600069 0.609238684166302 0.499103100901353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.339358392843324 0.390401939828129 0.609621303936565 0.499892667468564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.340452025567797 0.390759721458893 0.611132324839008 0.500824318605223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.341269494392919 0.390997945560194 0.612178553875776 0.502066283682952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.339135010518981 0.390166920243414 0.60926772041028 0.499127074787988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.339682131076851 0.390500137545189 0.6101619040258 0.499409050137806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.340552378071747 0.389911629735218 0.612953460529639 0.500593224830132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.346013508687545 0.393348938546339 0.620926168189033 0.505451322693944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.351782408371133 0.395783604473987 0.6300813170414 0.513426081759601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140450467697711 0.11854378297039 0.0298039686168297 0.0485813829565162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140716451427257 0.118588255881278 0.0297663597676849 0.0486445053687607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140523855892418 0.118457402622263 0.0297932619809245 0.0487895260198962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140283352381819 0.118385233514066 0.0298814155009233 0.0488791290215646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140351505551024 0.118855068186554 0.0300146737847438 0.049235599928457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.141261512059264 0.120487668274648 0.0305571418329602 0.0505801960734206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140636840446312 0.118530632150892 0.0298460915907715 0.0485178840849924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140471927391582 0.119438814182236 0.0300154813425788 0.0491192809007479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140794603380081 0.120251123802209 0.0302833423144721 0.0501300550335872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147006277258422 0.126793097611537 0.0332256293100112 0.0542915114914502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156310861156614 0.135934273441128 0.0368793440489847 0.0599461492731783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119261633619902 0.0641011783880092 0.0076841259098762 0.0136531675630979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.11942692432492 0.0640336513306717 0.00770283180832629 0.0136193582683067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119322523276435 0.0640387629346284 0.00771181547305373 0.0136361561525856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119390904606973 0.0641296008660293 0.00773464109962049 0.0136898068553119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.120219458870452 0.0654238895578824 0.0080729793652088 0.0140185110380215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121398877224229 0.0673743197524539 0.00846790102501981 0.0146241222861293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119821755013692 0.0640301216799197 0.00768827737112067 0.0136502137687543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119661052469288 0.0646946524842975 0.00780226602836329 0.0138551617506156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.120276621286252 0.0652814239957993 0.00800849754210674 0.0141862050434874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.12391633853912 0.0725345715156246 0.00938782865142827 0.0164601430747169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.13091693213768 0.0844294647249602 0.0122040323951616 0.0212660694878366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154059077586674 0.147554648629526 0.00518167431892208 0.0060155790519215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154330980799365 0.147421571145403 0.00536835626055722 0.00606383613214407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153449644343507 0.147043115967065 0.00548949800838246 0.00609029098279782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.152556835466183 0.146703340107518 0.0055478440256891 0.00629500591096797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153986612990144 0.15127061234244 0.0073722110875709 0.010175418559703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15458155903603 0.158231010673377 0.00980006385077657 0.0151049587278108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155076520754561 0.147465354585308 0.00657021856686621 0.0064120119988631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154186290355668 0.148908489589257 0.00649372604955985 0.00704041889208915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156660698224006 0.152169182747892 0.00953176877884731 0.010376342057501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161310627814024 0.160302128520483 0.014996978790706 0.0173283839867475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177515941583157 0.174399863994417 0.0291312223836867 0.0289619169053422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185315284342267 0.172593847060956 0.0505932462835631 0.0274563127717488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185444056563224 0.172156625992758 0.0504917387172663 0.0275447557072138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185188241963549 0.171152527219423 0.0502283799196981 0.0271934171675991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184507256659011 0.171349391273053 0.0499309266732975 0.0277285676952131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185653959604678 0.175246715676151 0.0501066066351213 0.0299847214203726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191135116548736 0.179527031058402 0.051253016080468 0.0314172071537223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184563940390821 0.171894240795538 0.0502773403663374 0.0275695484246328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18678972309721 0.174313988075133 0.0506033636756196 0.0280421568969297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191508205267066 0.177835812569184 0.0544062375950137 0.0299239973320738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213580105570444 0.194550341096313 0.0699076636468083 0.0417888501842429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232606981953986 0.221299499592577 0.0831231000557386 0.0631499215030373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144190483218969 0.165127609946502 0.00618383966271035 0.00451777801329196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14474951487753 0.166081918203564 0.00616041321869333 0.00453050195063864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145362972607783 0.167038494220891 0.00617771404754919 0.00454898392563951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145890592416803 0.172422892894901 0.00650929414260219 0.00634428816896392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14518862492799 0.171758180452274 0.00703174087344885 0.00693435785390806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147211728536645 0.172621314938383 0.00858216067190163 0.00755580192404022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147635785491637 0.170215230675587 0.00710190504914703 0.00608953007151815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146120719033608 0.168481082287438 0.00739960110379197 0.00647860979097562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14832670737961 0.171935769841573 0.0092232939068898 0.00854990254932162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.157564800066208 0.178664104651153 0.022230875246668 0.0123907335985822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176441290909247 0.196660495842337 0.0401507277357176 0.0277122367891106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.149630810738782 0.161679805467459 0.00425283737336616 0.00332777821038593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.149917655092274 0.161753363731044 0.00428508170119152 0.003353902085452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.149161662856267 0.160784129324429 0.00427262521157027 0.00334343854331478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146958713611263 0.159500042491143 0.00446761173532867 0.00351150357469272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148217477850094 0.161362791021761 0.0100244304659054 0.00534792599506557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150300824628392 0.166951421956549 0.0119187363095316 0.0081025914183617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147831365128753 0.160064315425329 0.00441355312463939 0.00336890742770078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147230503756662 0.160377897151547 0.00538659588837253 0.00444582116414484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.151147187952471 0.164403915085048 0.00890054206226795 0.00736507228645978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164024196056593 0.173997521959052 0.0206377757073974 0.0165301710052336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182459826872798 0.185314122589728 0.0461201602692555 0.0299115344483193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169781007823362 0.170816744831338 0.00589458683604445 0.00645394543438414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169352412927063 0.170650908540134 0.00668447114250814 0.00702823356661796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168858019291175 0.169893004768072 0.00650959902732604 0.00692942835428148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169414773953088 0.171706428873123 0.00693074672526251 0.00725198456678267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173959073901176 0.176929227951572 0.00809464602508635 0.00806776282910957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176171883387928 0.176986665079769 0.0120851895016295 0.0106609877146528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170532601769676 0.170711819871592 0.00617317948023894 0.00639914179880173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170886886836092 0.172389052996376 0.00675051181721112 0.00673343447597801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171628921884223 0.173269925927006 0.00946914983600844 0.00812082435325679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186265274535995 0.187485299163459 0.0245382251368825 0.0203440195922605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208177033965515 0.20560031019755 0.0454354081663503 0.0364777434857411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165050210798464 0.187271523073557 0.00847056761916574 0.00985285085193425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165842109225966 0.18822882317421 0.00840546369406937 0.00992406465742958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166514898897464 0.189868121490986 0.00842850854451523 0.00990783555072977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167062771343531 0.189345283900574 0.00880422587976732 0.0100484195690978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167180553270413 0.197663661430041 0.0117268476165602 0.0149794193559892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167851635545024 0.19516996416917 0.0140335006290757 0.0162838905700005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166974004701933 0.189244471100527 0.00903979990229623 0.0104161128621144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164144841957639 0.187497285075626 0.00938710434930447 0.0106337496835641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16446339195415 0.184910896277515 0.0114383076903336 0.0113875773808597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17774919581906 0.198940462414269 0.0289406871053591 0.0251929656593235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197020963799537 0.225177136107341 0.052112555282899 0.0489572311125828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179896303559499 0.179571292630188 0.00695192871480977 0.00659068254199991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180426224975043 0.179847310375412 0.00689314543889275 0.00655340412203831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179854178241062 0.179311476812131 0.00700797673496234 0.00656323591229448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177800415301113 0.178104019625473 0.00716443499206776 0.00672015684400599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179694416415057 0.178721932289229 0.0079871646187182 0.00745910390335486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179348983348802 0.177023726527333 0.00998404444200427 0.00935806977366448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178505343013267 0.179333859281478 0.00717309305615036 0.00677109772748443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1772062866284 0.178562607312333 0.00761814871215829 0.00719588875100602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176934093748985 0.179130520391075 0.00873355977551463 0.00812421078094973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182316959894246 0.18906454065888 0.0206373643270531 0.018471650824532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208782903666211 0.214306889778671 0.0455356301297603 0.038316877732785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168077043615593 0.194501464612396 0.0449781863538938 0.0423712649732479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167984139493127 0.194467009021367 0.0447823293039403 0.0422353150932608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168213549626089 0.194621508184899 0.0450221312318995 0.0425737356424233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168581212253242 0.194477900991061 0.0452541029428033 0.0424404134945444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167985881070132 0.193358581128333 0.0466434672864163 0.043377014577406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172383134205043 0.194783803114086 0.0495883793897682 0.0454461503244765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16810661620053 0.194735830346571 0.044758733143608 0.0423204210668391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168642569573406 0.195471416657029 0.0456219961391141 0.0425697090203734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1701118134462 0.195977569203887 0.0480098713937392 0.0438259662612572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178705628770158 0.200351170065337 0.0567103895636089 0.0518426511588573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197575893710735 0.209419118854772 0.0699326059971745 0.0621636156050768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168391983455979 0.169410326950938 0.0131594402954657 0.0104551720960467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167169630738295 0.168881565268991 0.0130897150925026 0.0103891140559801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167317335392859 0.168864199508062 0.013100505210519 0.0103704558630338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168326924083031 0.17179030053587 0.0131277574161218 0.0108420705557409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167889286083398 0.170759604712961 0.0147021775045372 0.0119597107533848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169668430431737 0.172840324137194 0.0193361067777404 0.0138302073397641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16660814427533 0.167341736777964 0.013411563819548 0.0104879276306529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166479797023129 0.167059297670254 0.0140442468340379 0.0111547301153609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167951648394353 0.171158470292821 0.0159119451749314 0.0127326806925728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174518459370516 0.18088131518907 0.0261619333701103 0.0218197222083436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189543135491867 0.197637978248552 0.0444024958373813 0.0395253567957734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168818053369216 0.173407173070047 0.00951722533115798 0.00926481297827305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169008090901943 0.174124470522627 0.00957672767446691 0.0093286038295519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169208669986233 0.17498710400784 0.00966482289061959 0.00974096179244563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168144399964147 0.174094524689105 0.00975676856891625 0.00998689026064958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170618594057558 0.176546354306212 0.0119246655883738 0.0114606109845318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171474747805816 0.178610772466498 0.0138849951221672 0.0136429794827793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170041178623759 0.17591080854283 0.00971973459332685 0.00982279996428499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170365369578966 0.175829763112234 0.010032046643687 0.010309980691383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173516707848759 0.180706868517296 0.0112034435498193 0.0120497810336279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177666386902874 0.188044929532056 0.0185213084185385 0.0191253333538072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197945519555409 0.207937014445781 0.0339376710581512 0.0329278301766489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148139076364841 0.106457125490348 0.0360376286964744 0.0606077407377353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148131145021339 0.106812902251456 0.036046382025992 0.0609118492887694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14767132779365 0.106981624985022 0.0360912532745812 0.0611604525142569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147982398323745 0.107855061304124 0.0361533069595016 0.0615738634628849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150214390138393 0.112361037846576 0.0371140429357386 0.06411996125309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154316659773207 0.119906272023594 0.0395799919814476 0.0684118886923726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148307291296522 0.106916107170657 0.0361952010242591 0.0607054599540358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147421419580683 0.107428115882153 0.0361479476607778 0.0615038388624659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148947941037723 0.112044237482091 0.0372081881712032 0.0637627951181484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173074688152507 0.147016670393088 0.0490371357433155 0.0848617766398311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213262890585384 0.194381299110369 0.0740895363551594 0.12305917541645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171346043721475 0.134919350822928 0.282165471216747 0.0851466059754449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172116423731207 0.134445283647696 0.282606705530737 0.084941515211138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172616852649825 0.134604181835758 0.282708130080513 0.0850253060868261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173968255437784 0.135337370496663 0.28310500745819 0.0849767157104277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180088478196412 0.140897583764459 0.286024440215306 0.0873928004258231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189131891254336 0.146625336083416 0.291544056595818 0.0910505538054504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171723740885282 0.134697368567354 0.281966269607787 0.0856878956878088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171453052957945 0.136858645289247 0.282628128651622 0.086721725676175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174717210724654 0.140113420778667 0.285331549153398 0.0892126572742852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210622491833461 0.175923323064752 0.297401942639891 0.10760358170534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258077067014946 0.217732716269149 0.329274967127316 0.139531080252968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121168362437996 0.0976887747205742 0.0222337191610337 0.0298114134555325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121657413738544 0.0979339052792823 0.022237716608405 0.0299134225118062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121654501463079 0.0975715659319853 0.0223851480121395 0.030023635440962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.12145724286342 0.0974060693331904 0.0227112564521497 0.0302155800871468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.125580972142372 0.100622759744397 0.0238955710117184 0.031615895558653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133251452259528 0.110322071085295 0.0265755381864853 0.0365804560456825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121351262603987 0.0981074913226815 0.0223628788402492 0.030258817678856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121645370867892 0.0994788570538584 0.0227725110666936 0.0308039795350662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.124589189890824 0.105350770922842 0.0243452780485275 0.0338189049576567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162085417513646 0.145652017099443 0.0393502528518761 0.0576203307385647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212305475297702 0.200039768071252 0.0739856088416972 0.101251819608626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0585841923686827 0.0587834001542897 0.00158365374388809 0.00171583344313727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0588440242540993 0.0590823077590817 0.00162216353420781 0.00180414379627122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0591441218523552 0.0587809705627856 0.0017059011891639 0.00182837182757997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0587351278537669 0.058450386610959 0.00178356918821395 0.00187052435413837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0624239983577804 0.0634432179190685 0.00281511937551338 0.00311309068640682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0715319869960321 0.0727048903000431 0.00507949966107743 0.00548095500264308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0598086101923939 0.0587249654456977 0.0016429241703216 0.00172870416647966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0601195274826557 0.0592663493882881 0.00195090495268812 0.00202851063746258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0636949414337901 0.0620940281508077 0.00307864289081924 0.00319800117974888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106859215958915 0.106993373747794 0.0178903264966433 0.0178136090960201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161535774662342 0.162533950953574 0.0510409509466903 0.0493939983564065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0721447751953514 0.0966408508283387 0.0193922131976338 0.0831906708637054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0728952563051171 0.0970254681040606 0.0193245756534747 0.0831069463913176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.071409280357523 0.0957561945714868 0.0193304593476776 0.0831195650984706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0717070589473315 0.0962789903814022 0.0193233200334338 0.0833235351547533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0758232145732066 0.0973861596583174 0.020489879386698 0.0848906335807287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0823499052987565 0.102328731036832 0.0223955135998606 0.0877556674213596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0710667588614102 0.0958326383899664 0.0198646674219139 0.0829422545768724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0721608331863264 0.0953077486363642 0.0206383893696339 0.0833545510952358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0763811589620489 0.0985129483299923 0.0223505544493689 0.0843944326339284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.11510086886433 0.127393917190607 0.0396626466293735 0.0980834807217421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167771100591923 0.173073512601312 0.0739179878475821 0.124793957102808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0570261854885966 0.0630248160424031 0.00181110645512321 0.00162772732635665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0569831887266141 0.0625511811368246 0.00183530219726549 0.00165094939145411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0571588261038065 0.0627769355591991 0.00187450817799537 0.00162643883115192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0571122044385905 0.0624131557912149 0.00204290367241725 0.00175629251787772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0610051182647331 0.0650738863113478 0.00351600462476186 0.00320096046489085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.072740837350017 0.0772617506384711 0.00665997940538134 0.00616798823989286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0582593814941183 0.0639800753696463 0.00185627775344897 0.00174588969587861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0585599666816499 0.0640278522689313 0.00214112663692083 0.00204004860164365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0628647483882291 0.0669917943191054 0.0036257874193648 0.00337988943420188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.111617631558947 0.119781608702902 0.0218344361191437 0.0195238030538193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169511713391512 0.181375841285059 0.0623439180552527 0.0546380528866687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.30056553988905 0.250241341068332 1.01902552565902 0.482846071043025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300314457042299 0.250617531925607 1.01824378724312 0.482827766581004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300513663332444 0.25056869065221 1.0180786714446 0.482540242932092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.301050156369135 0.250587414534315 1.01804190387249 0.483426266195591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.305398563993349 0.254842034385317 1.02544105510783 0.487762400158461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.313058816529454 0.262688980379169 1.02982305874345 0.494456353229086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.301385505360574 0.250227785043265 1.01885867432994 0.482366470824327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.302400415241374 0.251104855697951 1.01823142292269 0.482829845028728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.306888057273942 0.254595164815671 1.02159556493869 0.484844080764889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.335916114752964 0.281827903242101 1.04087087329168 0.509904467004208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.376743739659532 0.31783228145866 1.08167405140134 0.552363257413106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217410637577594 0.260066774756246 0.206199651666136 0.249917377983126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217215859389793 0.259469530041173 0.205962710589482 0.249735132995676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21734628320086 0.25933729474838 0.206078881411082 0.249919510824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217683493902294 0.260131774844685 0.205657030125911 0.249611842403363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220022547935673 0.258960278685687 0.206460351736342 0.250650264659539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22903719284698 0.262226881823934 0.213022250499367 0.25565947998548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217774020847403 0.260081082586808 0.20597662265647 0.250516842066798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219003802662771 0.260906577841351 0.206729034494825 0.251247143091028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222254975999744 0.261329416873788 0.208440896432713 0.251686904359254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249340992874148 0.279791461951049 0.228552282656764 0.268892141982171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.285639130490004 0.309835769525889 0.264341907081183 0.30477176958669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172195823770996 0.197854527422084 0.104952978953699 0.182699030146283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17247667423252 0.197507241485855 0.104641538065636 0.182013409903552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173135602475243 0.197188953252373 0.105049989294598 0.181941689478437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171549755852551 0.196812176904266 0.103808293818879 0.182898705722517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181211490058955 0.205768220429875 0.108201859118046 0.190121281288716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193088535795144 0.217900029000463 0.115740448932028 0.199972982932388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172333962750381 0.197566956868922 0.105121332393549 0.182070264415657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173736716984416 0.200410306689455 0.10578893638852 0.184514999078541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179725312960785 0.205281383804535 0.108078929774395 0.186994704102417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226701981912172 0.249648338485487 0.136921349729979 0.225580845280076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288062834907849 0.308333224050243 0.19855625464895 0.298036958442119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.094691108401126 0.0721792039215852 0.0069233709594706 0.00990053430356879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0942974983050781 0.0722601304655048 0.00693862611310055 0.0100455323627229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.094253266483019 0.072578145981755 0.00695839930635652 0.0101208405169402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0944973822887897 0.0730795230399141 0.00700417750301272 0.0103602925520507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0981796443361564 0.0772203270755909 0.00823668622664584 0.0121523954223027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106913245321915 0.0872040213253005 0.0109589140454761 0.0157858561187359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0951062876807846 0.0729603803013163 0.00701798003275072 0.0101583695423759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0966065094486826 0.0747835825124383 0.00732398640842635 0.0107755029976107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100510009570337 0.0806626135948984 0.00886925842527289 0.0126468199913392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.136165586118478 0.123008387676344 0.0241395274754918 0.0318646493846238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183892866369372 0.178843729736135 0.0576774677030002 0.0715916244800708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115018071852732 0.0837140857009246 0.0137759948073645 0.0125056468923021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115141869830297 0.0837811760077033 0.0136407965731668 0.0126153926416714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115099478943989 0.0836593917309257 0.0136290483775605 0.0125807852487596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114409783324315 0.083596295280198 0.0136182280992473 0.0128065653330159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113921202629179 0.084368550708626 0.0143718605936468 0.0133151641020266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.116938897450562 0.088992319592801 0.0154934108804607 0.0149144428164071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114980642223419 0.083752449899776 0.0137909512426144 0.012570002998988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114758818689004 0.0840155758831773 0.0139837685692286 0.0127790207972875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114668757743364 0.0848724120600875 0.0145800902637918 0.013292448746091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.130101102050788 0.105277115385975 0.0211453639745429 0.0212304224196433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160701684679784 0.137821910042301 0.0360034068731978 0.0372708936314074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113354131265512 0.113918966312953 0.047425598899211 0.0167522357908618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113769219781915 0.114202356348959 0.0471873576038605 0.0166964259075285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.11407412809487 0.114635227156087 0.0472388194115254 0.0167816663508355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.11416464729171 0.11363927962134 0.0475629491491732 0.0167148822231019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114609330657282 0.113621955757483 0.0478688705666803 0.0174028858192454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.118064479196052 0.115200774879621 0.0489379237692031 0.0185937100654543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.113372122547504 0.113105505298975 0.0476109710690103 0.016745408432714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.112820486053543 0.112482366873952 0.0477658448468517 0.0170614618947277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115085354137172 0.113112279925562 0.0492765292124893 0.0175867358867032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.135374625510993 0.126407793058088 0.0558118777207246 0.0239861727268352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165366753605616 0.153521877125583 0.0710088924879283 0.0385681156881229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0892011177301246 0.119908279510874 0.00896311307881728 0.0380861617802825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0899723843910642 0.120914044762189 0.00887926996163431 0.0381579993290877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0901764078770855 0.121071275933062 0.00887128416868672 0.0381989636863506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0897763027564414 0.120815287026874 0.00895423783662143 0.0384019208247575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.090875922007522 0.120002172079995 0.00957852160279402 0.0382347690772526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0920978785982968 0.120751506053788 0.0108484177816693 0.0397775998046603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0891128773605378 0.119919780890695 0.00912356976180372 0.0381541141407034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0888005488758425 0.11904454951209 0.00918169607249484 0.0382004168239062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0903129776778049 0.119336685290438 0.00979166839000247 0.038809256602802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.108631592677893 0.13100549388565 0.0164768736546287 0.0449768848385583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140431117623408 0.157974998084189 0.0308918135089764 0.0597678658155095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.105411929150242 0.0928891529104999 0.00366033436250561 0.00667364490727066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104660522616517 0.092384882205517 0.00366031314182185 0.00669295647274688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104200011931542 0.0913358547831517 0.00368470165488308 0.00662694568398413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104898885620856 0.0916622134886537 0.00366895307371276 0.00673824766580527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106027059601044 0.0934485696167665 0.00438886149072131 0.00766978267184842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.107171614477062 0.0959116859300201 0.00608731691481779 0.00956215224346556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106157349852492 0.0932708490849801 0.00375544337798454 0.00675583838721701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.105932160189735 0.092007251759803 0.00393323829026065 0.00686955752607136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106713845427246 0.0938237809060341 0.00487248368037291 0.00794344582201292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.12619692926719 0.117313231449084 0.0142458481052398 0.0186765020564836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160653515063904 0.154761397560756 0.035142857434135 0.041593384782883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17196408146606 0.28750657528527 0.187972059298499 0.269702709877786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171987919562336 0.28741552612497 0.1879522837681 0.269861992808721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171933055340221 0.287833084103121 0.187838737071755 0.269998775029413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171959331497223 0.287931681027717 0.187793203095225 0.270716617629434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173906005479275 0.288138134841627 0.189342418534645 0.272178443582277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178041060180956 0.289336882844991 0.191845436421665 0.274605433265145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172095980353252 0.287467388083314 0.188241225738169 0.269830378733284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172190547989519 0.287761928458718 0.188684386153257 0.270397447585693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173894587041906 0.287665811627579 0.189945862341202 0.271392393564036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192947532204322 0.292119823588259 0.200821275047029 0.279561616198027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220033626339109 0.306252237483587 0.218738238091758 0.294928438626765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0966769914147952 0.0727123864819107 0.00317800450800902 0.0032696083940348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0966333047670891 0.0728002702016207 0.00318007757260696 0.00326165811740147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0965726489601069 0.072991044265812 0.00319444796954031 0.00331970327197988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0973990738921924 0.0738138912562781 0.0032602131689854 0.0034210115435611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0994139660163188 0.0766780144980826 0.0039633693602947 0.00421368479215908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102248060136551 0.0819316924270248 0.005520783244723 0.00592214885974814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0971038300106454 0.0734305359540823 0.00324490509631253 0.00338551159582712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0966931525812813 0.073413050159354 0.00343665053470736 0.00362528843347071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0976610167734225 0.0765294473679547 0.00423895576552581 0.00450062121448818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117313639853255 0.103470147280864 0.0125594366378803 0.0138923287197339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15177603582789 0.142995904311209 0.0308739144114412 0.0339619016648527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0938567910817935 0.104832039418188 0.0322387789469155 0.0623933898774856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0937708742286647 0.104316275814745 0.0322594721277529 0.0623876513067662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0941737319418824 0.104953495724371 0.032316023128651 0.062339903700155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0940459958004438 0.104796979780022 0.0323958970299942 0.0623603334652647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0940737950115722 0.10443241120965 0.0332999882060262 0.0631023579246027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0955903580264008 0.105627080362263 0.0350744220978491 0.0646982102350635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0952332121795523 0.105519701357049 0.0323058380792399 0.0623759883625755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0946108240025012 0.105869438419141 0.0325341322647647 0.0624518440927297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0957310257422181 0.106203262536596 0.0333524992054025 0.0631097917403981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115247259917359 0.125543993937212 0.0426245812926241 0.072123031166068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156231995689896 0.164583239838006 0.0630260427997346 0.0911518200722809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0803304111868172 0.0922956573611228 0.00273033244946724 0.00835327358398107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0803128575865069 0.0923297367931308 0.00274147812709143 0.0083560252318743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.079833646969271 0.0919417874289942 0.00278483948652817 0.00838927528456408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0798876670203592 0.0920574036546173 0.00283459565350488 0.0084270116223005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0798167290486478 0.0920887807444857 0.00334306321306419 0.0089459286619498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0809322701261492 0.092337709814967 0.00447867549569613 0.010081227765798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0793154023805019 0.0910699390666867 0.00282999666009739 0.00842455824811921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0799324175373874 0.0914978161299924 0.00288904218465765 0.00863237738900043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0799785571543374 0.0914762287284284 0.00346577905194468 0.00919517444344909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0939212730413348 0.102898658010509 0.00953485913585121 0.0153061622995224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.126807936787877 0.13463836892603 0.0228819111034446 0.0280211855103925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236512943304079 0.289805313860224 0.394876688532166 0.320524406653421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236829005667967 0.289713741987902 0.395154324358687 0.320719711951398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236941301775563 0.289909677173049 0.395235465050236 0.320992575791229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236991507875518 0.290371106548017 0.395066609241404 0.320926106503313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.238640251357586 0.291016920416725 0.39556813783884 0.321918647984068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.241318812202695 0.292283956106755 0.397343037926196 0.323143692943119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236921345052168 0.289341773027083 0.395816740555818 0.319954287588345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237630183420118 0.290015046872598 0.396285076190755 0.320536876692793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239520073090783 0.290056802433572 0.397440129242948 0.320953178177345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257141719642123 0.296590692628619 0.410262821135457 0.328423997720186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.283339737742338 0.313998360182408 0.43462636601158 0.348674133705601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0972396744029388 0.117558093735262 0.00293703910112404 0.00521362740013455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0979371189643885 0.118308221556427 0.00297912418750121 0.00531256394085023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0978945876342409 0.118424156625391 0.00301169740784549 0.00537962696469732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0982233717378265 0.119056387643482 0.00306360391812131 0.00547919262857578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0981257504117399 0.121616172018513 0.00425286146088017 0.00708862070985085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100296749778294 0.123393406318893 0.0070213623999252 0.00964981807372448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0986380178695107 0.118976401627225 0.00331027761264431 0.00529629172595468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0989331492266053 0.120259600921093 0.00353367219000145 0.00570479964098782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0981244020968346 0.119195758099879 0.00516830026651055 0.00693362029673429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.128205583568709 0.145899964495113 0.0232307572855466 0.0216839043514155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185908104010736 0.2004072422741 0.0660081831955882 0.0558468258181248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169470402135716 0.178828256192823 0.00612713854885896 0.00667402377359461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169621369122649 0.179271538542029 0.00613213982594344 0.00670845120750488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170142056206066 0.179817077794974 0.00614777350226154 0.00678557974006277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169763720025185 0.181720492079658 0.00624225146610683 0.00693079085070812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173275938668867 0.183729277528213 0.00728947013733392 0.00822685538819323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175791701792382 0.186368840677844 0.00876763295536783 0.00984087384683982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168302639227507 0.178476808486002 0.0061445808422655 0.00690796976458743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168232864907546 0.178600396764346 0.00644286046353408 0.00693079142382428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167936665497865 0.1789437951365 0.00738797540984829 0.00770207714953222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174293618292208 0.186548313467341 0.0151922462918573 0.0162209189762451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192717872819606 0.206667054205884 0.0310053979595755 0.0310016324043408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225268764019894 0.235948065286922 0.0162397877027172 0.0433503638380315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224774987985486 0.235020959249981 0.0163230073148868 0.0432682240479176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225298127664806 0.235667113726576 0.0163105783407787 0.043267963931042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.2253571601328 0.236278822126098 0.0163277835748634 0.0430999170232088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225910494433053 0.236546331731477 0.0182189840094736 0.044076735271176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230655576789691 0.23959282972734 0.0205922581261852 0.0453784076525259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22385874879247 0.235803680012016 0.0162800683385258 0.043412006131378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222683850636407 0.236129548928956 0.0165831920416092 0.0436107290908876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220887702428948 0.237091291298344 0.0180417077277081 0.0449741522278466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235511142476282 0.248807423737569 0.0282789542474811 0.0554618946697579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.260859229471763 0.270155975914568 0.052441087558706 0.0786953778906408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236960764494576 0.391007777635226 0.00450382662661596 0.0238188886927947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235137615618172 0.391935912466687 0.00443894851740979 0.0234698969772093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234847261685587 0.395759182129609 0.00514065925445048 0.0231399025294671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.241007764494576 0.392632968646463 0.00438553656827254 0.02252465425036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.221212318614431 0.39325147426444 0.0094576223131802 0.0275758374102543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234783663546897 0.366830805693548 0.0159591363975894 0.0331340792801935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249348744831655 0.397447859095901 0.00443454793343855 0.0239357026712757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253051337528284 0.392859123229417 0.00539082579394245 0.0277449372808129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251412525785361 0.373038630474203 0.00923852026516749 0.0345315815165673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288113758413191 0.350240737927654 0.0517510717930947 0.0724655581270361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.362037661762195 0.388109104722362 0.144146902267122 0.14529213176749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163242287363244 0.160261312983979 0.00265072662145681 0.00223484182857238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161755461545384 0.159283178702312 0.00278534200397273 0.00239249085124818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162793326708956 0.15936612156046 0.00282269205749065 0.00237216669005455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168531579198406 0.16342190156654 0.00261941458858179 0.0022521104677984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172215756545714 0.166826757490237 0.00360752359635835 0.00308517537627462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17624553152147 0.163423607535335 0.00573547685174766 0.00446943066670749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173941809084363 0.170495776224474 0.00294709535866963 0.00241367435374081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18044547137693 0.176742563751493 0.00298329522340993 0.00239103820352247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179960604908392 0.175221865666588 0.0035354655207181 0.00313737114691136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184143433689145 0.160406301731909 0.0161928276695853 0.0103692652170561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217388953575722 0.189454760842398 0.042982126625363 0.0258593380085145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18365274324868 0.233354556133123 0.0199214456276536 0.054963717951261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183514618911201 0.233308449787475 0.0198510296423106 0.0548648571963651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183005593867782 0.232988397683716 0.0199027046251967 0.0547876547078685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182728318655533 0.232677712363464 0.0201117168665742 0.0548293407414202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186453922067148 0.234611966786234 0.0204228283338962 0.0549568243775952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185639411010605 0.233522284649721 0.0211526108310085 0.0561540216665849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182729306183877 0.232884709402194 0.0198077943070734 0.0551299079371909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183767222831277 0.234000805529224 0.0200977974698377 0.0555509120472414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183453557290524 0.236300255627265 0.0213655016855059 0.0578445876992921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184248383556357 0.238102527725523 0.0275969115108965 0.0651629067678643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205779255317827 0.251777972533448 0.0414022804666463 0.0790258704087385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167896502231222 0.181981694089794 0.0106880019349159 0.010670973564656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167910638570541 0.182333225927035 0.0106949810144498 0.0107318886718914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168700689681113 0.183075799521826 0.0107490946340038 0.0106997158689524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169768957402742 0.184023115216495 0.0109033756285683 0.0106171029829793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16805717899921 0.183707555733772 0.0114153625327707 0.011483144774372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16857238752905 0.183974718013441 0.0130270219731639 0.0129241733771382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168791313146188 0.181992226678709 0.0109404761273165 0.010790748870368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169767509266075 0.183093100527277 0.011169375662585 0.0110213868680634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172540426984689 0.185735854293672 0.011881594148339 0.0116176687142975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179008697985772 0.193243101456088 0.0198511932223159 0.0193294623101053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201152660191955 0.215772850087324 0.035349563800001 0.0349503912929107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165468899879798 0.235883243421635 0.00939542288164964 0.0494135846437358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164280640560616 0.235549683404856 0.00942321934772072 0.0497736061261547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164236538819403 0.23494135001774 0.00964659964101087 0.0492331490257949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16505363486345 0.235168910207995 0.0100152702463302 0.0494849040241795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16143038156865 0.229005584270957 0.0110089827923518 0.0502968980974046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161035987514876 0.229469761518177 0.011917370211727 0.0514205484059366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16456240943016 0.234929466720531 0.00955277926400079 0.0491751259253609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163617575118278 0.234273169070751 0.0100119136449229 0.0498179717283961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165014577191174 0.234992619610374 0.0105341222739739 0.0507864535898577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170033002384798 0.23488397622101 0.0168893884708798 0.0586822390630059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188857729473027 0.25008114822781 0.0312180121406449 0.0780291810649455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183635539163677 0.175703902311871 0.00708792115658121 0.00713964154192207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183379088372934 0.175903208874859 0.00699908554092249 0.00709155464353868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182568113883473 0.175282455802633 0.00689599127358651 0.00695536210945318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18329070713676 0.175780353261488 0.00694741723265991 0.00685711088592567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181998207575303 0.176804275413791 0.00756320402191479 0.00775312275995766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183937909875246 0.177717562688657 0.00883118173048096 0.00838666268983564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182642021911893 0.176144086515716 0.00719319195955025 0.00728315058809498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182926331835196 0.176888664909757 0.00722272741110367 0.00742297300216747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182096730343887 0.176785274398559 0.00773289100205839 0.00755118917267734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183153672541365 0.179141955562429 0.0145988611369295 0.0136875200320625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196655206952562 0.194425400933526 0.0286514485856186 0.0274218940574777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191069699969244 0.280992429783336 0.0630902698032641 0.114413780418906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190982763378697 0.281290264682003 0.0631126780071747 0.114512679937656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191159394559343 0.281521964840973 0.0630306365756649 0.114456803298729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190928382851545 0.281302846955317 0.0631105688433366 0.114573116217069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188418219665321 0.278619477142492 0.0635726108391044 0.11530372905872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189526660623931 0.279569244960847 0.0642304355244392 0.116750590304514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191958843887244 0.28105295740429 0.0635163246694256 0.115045554073134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190789427645116 0.280580910013886 0.0632458018187135 0.114623162079486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192308132152432 0.281952383127187 0.0636306090409453 0.114517232636756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195250801654245 0.280481837338483 0.0706824668623277 0.122562895166437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21526160539605 0.294483607566393 0.0848501271624694 0.135951018030108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22137736143145 0.201403099280367 0.00844050193945732 0.00279012445324606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.221420990967107 0.20093774864139 0.00858689062018014 0.00290210163050153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21850402770832 0.196528462698898 0.00823247947408341 0.00288481397543667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.215930611574135 0.190299764615831 0.00812693080034873 0.00299928063342744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.216692136383793 0.196950548937782 0.00958860602516692 0.00439317914091122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223656340440758 0.196622357024655 0.0122567856676564 0.00710583898856496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224029444720236 0.204171110462476 0.00791949196739758 0.00301534616211907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218867674522676 0.198154555350655 0.00726870704822748 0.00340676947343379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219789283685424 0.208418201226705 0.00891592635794321 0.00501474343863117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.23069675443815 0.23080899754081 0.0276492160653619 0.0225727575269506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.271200322166987 0.26553307927686 0.072987850970979 0.0545401767621185 NURBSSource NURBSSource 18 180 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.287913080390657 0.308381772263141 0.0867646248732047 0.0434563903618342 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.286059370064109 0.312563906867728 0.0858749842164243 0.0445877276202305 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.289825775688506 0.313665060801871 0.0886628979890406 0.0463404067198246 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288454104664155 0.311380380576537 0.0923686489882722 0.0472432660501022 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.292693319519366 0.309547509227804 0.110510618299352 0.065575768468813 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.326795817806748 0.349075824308353 0.155367620935278 0.104213353139983 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278140793636964 0.303804733744868 0.0880798078696246 0.045518046357958 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.271944572957821 0.298233552774338 0.0941805090360022 0.0519992626375518 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.28139978346023 0.307714407956547 0.110886145196209 0.073772029924906 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.429912712543515 0.472489417042848 0.320773834026326 0.316491919571382 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.654311303837494 0.711128085309757 0.88620243072023 0.829382676247992 NURBSSource NURBSSource 18 181 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209428358317897 0.219460843008494 0.00708341006428178 0.00609831782180127 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209284862149315 0.219773982855237 0.00722253189205071 0.00617374262592043 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21041861728443 0.220642502012325 0.00746860523019849 0.0063675906461117 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208624731007117 0.219404159358118 0.00843783018834105 0.00734357037120707 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200758145008675 0.212552349046063 0.016632540698639 0.0158659699605564 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218129520466569 0.234267810817462 0.0335123805091627 0.0332316634651186 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206183201764931 0.213396003037931 0.00841710313057423 0.00772698429588614 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200272179787193 0.206087999066378 0.0100811622247106 0.0100879007805325 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205023791586017 0.217358120866552 0.0197337123740101 0.0191151937448638 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.298930898569459 0.314785952958733 0.135018566280906 0.138993437135251 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.467682371498425 0.493010469309921 0.371963035397719 0.383028771804507 NURBSSource NURBSSource 18 182 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174032089748698 0.190016022462305 0.00790335662375806 0.0064641752206811 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17382636540972 0.189688803027229 0.00792853963539734 0.0064689453318474 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175491473704267 0.191710524413734 0.0081321488273634 0.00695680107862477 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172807992095171 0.190621174326063 0.00983215439266556 0.00844127473252875 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19510930003782 0.219089852972699 0.0237738344348543 0.0247188685472039 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.231225526913808 0.25485635182894 0.0596248675875602 0.0596015755118287 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172907617908324 0.189767344187585 0.00963013339046525 0.00837474579347583 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176615385247266 0.194791524138628 0.0132485065711327 0.0123830512451134 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201940602281649 0.214743241951797 0.028498426562037 0.0257449476332616 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.377009196316847 0.381341423406318 0.219056343041748 0.194220952935053 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.578955249556884 0.580393491752215 0.634287609941194 0.56011232809655 NURBSSource NURBSSource 18 183 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147798910170347 0.18491491510517 0.00880465297000793 0.016040309030603 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148983290202623 0.185577220448576 0.00886076684463524 0.0160980531536989 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.148705872050579 0.186689990089688 0.00912543321126515 0.0165096123016119 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150644206659482 0.187595256059752 0.0102200216165722 0.0168839318117069 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153341328030153 0.189435987317639 0.0179271867215288 0.0243617715502959 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180493045790601 0.213692489910568 0.0342256821956659 0.039564455158993 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.152231863156124 0.189289168786991 0.00972699562784964 0.0173009236356392 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.151127894986847 0.189976541947026 0.0116991330689028 0.019480413288107 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162979425354048 0.202614656324199 0.0209138719687034 0.0267656552036412 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.285564189354718 0.296806764906319 0.142022998329946 0.119602361072946 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.440291299997543 0.455335694435282 0.423360849628715 0.344304704461951 NURBSSource NURBSSource 18 184 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15875909155294 0.197756529717545 0.00545363382728806 0.0135880699612569 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160565200494833 0.199738711044915 0.00523774744445562 0.0132550045321483 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162040324479863 0.199098968305842 0.00550350801966112 0.0130074089194445 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164227025605853 0.201002732069035 0.00686890127037587 0.0139753282194008 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178923657279862 0.210514562013211 0.0198316828882254 0.0230265702065268 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206443907227161 0.240006031922524 0.0429383607595736 0.0450172498538549 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162046495171487 0.201486889495622 0.00588907388576765 0.0146842463831639 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162322962426609 0.199670169815756 0.00932377902308068 0.0174363987892186 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180492426932428 0.214471456525239 0.0220630295175377 0.0301967187896395 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.326685368259639 0.357971367705607 0.188867839884192 0.169794401640637 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.502231104094058 0.530738683546615 0.577131865055259 0.469586830765308 NURBSSource NURBSSource 18 185 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178403638974718 0.201493973988244 0.00582081230401549 0.00863264779585883 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175017155545877 0.198733813857153 0.00573830110785824 0.00843677035441941 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176094190029942 0.199140346227271 0.00614239017994191 0.00823680279054538 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178700134646635 0.201136507552586 0.0071159060167373 0.00946246935726677 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196896811240898 0.210683735409137 0.0231791958715502 0.0226309884728617 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234640384837105 0.245122544516733 0.0565752398306672 0.0524740893216694 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182720227282576 0.20454871032579 0.00793400911249304 0.00947936547957291 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182459346440516 0.20302554177048 0.0120290582865853 0.0128515501910428 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200109994116071 0.213429118029345 0.0289461464300289 0.0272034261642333 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.374190480552812 0.384269356083283 0.240825990982071 0.216462742316036 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.58295569569894 0.609000868224449 0.708770122076427 0.648502374371255 NURBSSource NURBSSource 18 186 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.245394906759497 0.276097812755267 0.0121887890789683 0.0105578208995051 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252170294011876 0.282825012141346 0.0120073166322501 0.0115251370448969 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251365497690724 0.28159758077063 0.0125043689697572 0.0119816106682836 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254034247806734 0.283297925399023 0.0148854228035433 0.0142734779011299 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.274824758889214 0.301027814179999 0.0397258583374058 0.0404179915127271 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.321475949379911 0.344076347063069 0.0915998200987189 0.0935016191463735 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249745087109146 0.277884013570528 0.0146851049053785 0.0138209583083966 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257303114125455 0.281611847025948 0.0220048430219682 0.0207366571927555 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282943551537197 0.295848624063551 0.0502884137399684 0.0457449431061149 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.514239154451317 0.524915888303537 0.413987772791884 0.380940288081083 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.789731830102668 0.820054986584923 1.19710716768949 1.12237229008721 NURBSSource NURBSSource 18 187 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164950921133261 0.175195847722206 0.0043292299211658 0.0034112568825624 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161048793096514 0.172377329839852 0.0045185171018199 0.00351790579384252 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16108285550759 0.173232528829929 0.00478478406045612 0.00390761085974376 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165845931083433 0.177789591768398 0.00552176139450929 0.00499809147316553 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165127221641586 0.178426072756471 0.0153966631393226 0.0136876114868584 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192249260426831 0.199541590122468 0.0358673119708548 0.0322519405593001 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165901159703983 0.175240837081131 0.00556611276650589 0.00488795110710639 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16828729714856 0.176657028877219 0.00880343047844458 0.00747008735062942 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178523326984095 0.187454676878197 0.0180769827618405 0.0177903950271799 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.311584182286439 0.313221422484689 0.147148667828392 0.140016404658384 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.483083576906318 0.482063101393023 0.44653847949776 0.406051089274629 NURBSSource NURBSSource 18 188 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189052660445667 0.231222855412461 0.0187560188560298 0.0240091052469037 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189004826521737 0.232170354904594 0.0186320604458877 0.0244805407833524 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189542095686697 0.231535454773257 0.0192262416877902 0.0248662428523739 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190157273972112 0.233107059354169 0.0203838547173975 0.0257069083146969 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19027262078332 0.228824421970882 0.0277144604404375 0.0306812757082721 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.214802305978542 0.242180909846733 0.0427809507511987 0.0419212245968482 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192696734803138 0.231598752512137 0.0188030421562818 0.0232069612013728 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192850204140051 0.231075240014892 0.0173036790711118 0.0218513118241774 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191287061354941 0.235556068326803 0.0224066104194403 0.0271101026934149 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.273797727259307 0.298487293807072 0.0931717121178082 0.0923110548348787 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.399130288332044 0.408622891677139 0.265181340360187 0.257176398772055 NURBSSource NURBSSource 18 189 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213279901828538 0.251234593676651 0.00983643875083246 0.0127355106304021 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21836039956106 0.255835392057441 0.0101985498466421 0.0131922030228029 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.221835559458815 0.259135979675388 0.0116953860656506 0.0139019055089764 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217012602585423 0.257522872191807 0.0138423141103 0.0163307015986338 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235730697080135 0.27692311406014 0.0421854287564602 0.0426478238026451 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.305599834908201 0.335762449040099 0.109251428551932 0.0968470706227486 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220763213043895 0.260740684790428 0.0122656539457084 0.0146284793391028 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224089206992793 0.263300519116892 0.0207484195974535 0.0212650966640357 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254663523775967 0.293889705337932 0.0484193498134877 0.0475984518893098 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.498038608044341 0.512079407498938 0.446045414216168 0.357655289169012 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.784440793934314 0.786016116332417 1.40082370540688 1.02889952779862 NURBSSource NURBSSource 19 190 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.325947020775298 0.360149808562775 0.0681673305449035 0.0722479276064614 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.32690866311211 0.36120451131895 0.067453110794912 0.0719570712850393 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.321873638193314 0.357180893338167 0.068310516026502 0.0722268560927233 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.316687623022944 0.351724969123909 0.0710157129257045 0.072206554406858 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.315277391054617 0.356695353756026 0.0887563080073749 0.0918185986203332 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.348281161429514 0.391452312808955 0.128431773304287 0.133679558268755 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.329874947663411 0.364009922782485 0.0724578556540437 0.0742808907244163 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.327845884449124 0.36420577294692 0.079211187881468 0.0808589767806381 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.341413945628382 0.37909025772203 0.10231087223766 0.102629990299686 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.509762270317363 0.552981276746042 0.374098133857526 0.357284223725731 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.711533561326764 0.761828356524536 1.0206109470836 0.892708920996105 NURBSSource NURBSSource 19 191 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192852506983765 0.206690747180236 0.00644167234147326 0.006747173015095 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191799768797387 0.205910757054459 0.00638032972790668 0.00671874373926968 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191946731792628 0.203496021829947 0.00695506609127788 0.00678541226926997 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189105323083075 0.203449782210455 0.00777349182795573 0.00718981874281222 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199878003184647 0.218038176236669 0.0165123727271755 0.0166875581041414 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.215475503880117 0.225877549562488 0.033866441608013 0.0353997424020114 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186596446409806 0.201234330343353 0.0067222005728526 0.00701338782523349 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191184314773175 0.203375704266958 0.0080841113040575 0.00893819540949225 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206714019493306 0.220409421412923 0.0178409047078118 0.0181497559323523 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.331620550299869 0.335708922269309 0.148617082426865 0.146046577601741 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.496844927587711 0.494802481864446 0.43172230128056 0.408482995372625 NURBSSource NURBSSource 19 192 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191327724848659 0.205375033832416 0.00894760345670508 0.00730562949153971 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188161850991895 0.203793361074941 0.00890067120433973 0.0076785852589603 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185597191809739 0.19975787658361 0.00930747198429118 0.00773455067867304 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191502794842323 0.206011529212058 0.0112836310842181 0.00925551319211587 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208530578066449 0.21915423118051 0.0225834237607585 0.0227125608450349 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240554404476627 0.250393730075288 0.0486647075867234 0.0532603067521224 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197038566734153 0.206181400435375 0.0104012110865739 0.00836494394954132 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191946904728441 0.205672258003146 0.0125207477147439 0.0113010206702421 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211420056680847 0.226081401632591 0.0264339543561456 0.0258997561106757 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.364660245406312 0.372308740476846 0.201600904942577 0.178821505376706 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.57036469179029 0.565239272301179 0.626453112963498 0.513287837213566 NURBSSource NURBSSource 19 193 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160851708104035 0.202452467998647 0.0110335897814083 0.0180876730476063 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161835432211606 0.204489824728017 0.0110433473242458 0.0182772238503984 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161644064430589 0.203084978512799 0.0111384992250443 0.0182417927410519 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158742224571722 0.198396721219762 0.0119103582290774 0.0182695697569709 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164023534521698 0.202065685134184 0.0221139191683308 0.027172632111638 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195984193839413 0.225584729118791 0.0424919367542118 0.0436745086661204 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166147726728472 0.20218446061276 0.0129093767399794 0.0172975108393943 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162000742522572 0.195502592345728 0.0160894971955944 0.0189694638374314 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173131094818196 0.200572016060084 0.0285471215691566 0.0248496604102153 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.301481232376498 0.317713696600702 0.148393749975526 0.128904873387859 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.478658373533732 0.460810690495933 0.475017930102958 0.336712002114275 NURBSSource NURBSSource 19 194 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165083635997741 0.215262962738913 0.00571373716399226 0.0170722488957968 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165433985253795 0.215948025730958 0.00578721023439371 0.0169120073218392 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166178650443564 0.216259571619545 0.00635737202172741 0.0169926621416821 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168884247509855 0.220743521884873 0.00796287769560528 0.0184589900781477 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182583066995778 0.223191270577693 0.0210142487499865 0.0304703542371115 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218838806762067 0.25626024248696 0.0485746603102054 0.0554254591692914 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163954990517322 0.214004306015488 0.00681507493561224 0.0185509247807219 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164636462726702 0.214762259407561 0.00978050532993537 0.0214957848670536 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181384407023324 0.225825986019733 0.0216184549164376 0.0319255753531273 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317775033782783 0.355947478097109 0.181789337424018 0.177354388778171 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.493357453540082 0.535711649112337 0.523315211088955 0.472879777018644 NURBSSource NURBSSource 19 195 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203209027540961 0.226162256846216 0.0107927064755623 0.011357365155317 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204015862780382 0.228907241650751 0.010463088441593 0.0111462879184067 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204936600890535 0.229034867843953 0.0109821445775187 0.0110159089166976 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204856635823822 0.228866050354843 0.0120374321738538 0.0122065752143664 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209269648351674 0.236043469151435 0.0245404701489799 0.0248543655063466 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235652252900859 0.262484841288323 0.0525322971606754 0.0510439470461531 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203406514443868 0.226813043278056 0.0117708838070939 0.0131751751078353 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200876319736087 0.225329575180676 0.0150345084325037 0.0156151914253366 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208877893120139 0.232616186419079 0.0284266422443477 0.026966418656416 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.346758582378024 0.352762129079708 0.183749152333255 0.157755301949387 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.526704330680615 0.520767041330573 0.552253430886056 0.461320026691093 NURBSSource NURBSSource 19 196 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282435117146955 0.307891493683253 0.0133540105706017 0.0131667873166885 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.287532110067464 0.312988962314171 0.0133345099410881 0.0126517986156208 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.289283876818977 0.314449226555672 0.0136224630622019 0.0129338631553849 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.286350135405544 0.309739754205621 0.0164945580977513 0.0167753045267774 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.298114989834133 0.323308918031383 0.0486186759718041 0.0514356650760157 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.358157308922694 0.384915899827967 0.115698732409796 0.118060850917261 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288150499446446 0.312660956957443 0.0170667051413414 0.0163384595982547 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.292065653469259 0.315637413372574 0.0254382353193195 0.0246372074553865 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303860842570234 0.32548456107092 0.0563411932372258 0.0541450479369501 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.554693122206456 0.543259565761622 0.494718201842397 0.397323613236996 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.855414108010156 0.849157196974997 1.42306161903254 1.18202897896168 NURBSSource NURBSSource 19 197 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180582884871659 0.200311455939305 0.00494179232954032 0.00451604039849035 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184236268683312 0.202702470344445 0.00478653575319639 0.00438034414280438 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185850967182751 0.203347806364879 0.00531787118947063 0.00479144862577577 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18057756974682 0.200652551847225 0.00594190530148279 0.00573150554739199 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185950421630855 0.200105183633425 0.0182848232302267 0.0156239635456173 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222692178937004 0.22982715556583 0.044318085587927 0.0387303722953078 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183130270830453 0.204152828878084 0.00500375736411004 0.00494586179139962 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18561801444045 0.207234366030529 0.00769652748544405 0.00727379580795315 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189583096204133 0.208048233237398 0.0197952393342246 0.0176392523356657 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.326915163090077 0.342148357613473 0.164165590282247 0.151830278839957 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.507753298621237 0.512875572330646 0.522200617174567 0.453692921144312 NURBSSource NURBSSource 19 198 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16824658221834 0.193879299586418 0.0176911293523916 0.0241723365876767 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170441037542872 0.195054484439962 0.0168187516955908 0.023937335492336 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171344428085461 0.196749342365085 0.0175509106681137 0.024870557969453 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175213520074608 0.200163273240855 0.0173784313411808 0.0248278549351479 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184757399756561 0.219050401285109 0.0249252674280187 0.0338006686040301 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204020332932288 0.242406921021124 0.0432059812024973 0.0548380421529517 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167444511217619 0.19119789673106 0.0174086605090031 0.023206270011921 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167480387740748 0.193027729044016 0.019529073176284 0.0251574939217482 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170346381176891 0.200352516927366 0.0252970174932168 0.0327765707614768 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280998719654288 0.305494957661981 0.113521511087112 0.119158589235212 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.431673707750839 0.440400684176276 0.332857458069873 0.29858948906573 NURBSSource NURBSSource 19 199 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223511106821113 0.263895765712552 0.0130748447207118 0.0117089645146372 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223520962684623 0.262696738251391 0.0138940470736324 0.0124516759146316 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225003593203923 0.26307044130877 0.0141824574768425 0.0123415767802412 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22387999258028 0.262355086917617 0.0147247555396828 0.0129443725966468 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.238572089709521 0.276701299664992 0.0383918352770267 0.0359880150021089 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.293315937142831 0.331986994927192 0.0896574101376132 0.0850778761761549 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.23094832308396 0.269325363967862 0.0153603440787968 0.0138288041551235 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.23216744045741 0.269133339189565 0.0214284537701111 0.019257193041608 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253102886520626 0.29231201372918 0.0437609095379731 0.043622589145274 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.450257066715972 0.517262985582168 0.352151151460553 0.360750461885767 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.717451328914141 0.78661297154498 1.14096795465887 1.03463602271417 NURBSSource NURBSSource 20 200 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317057911677664 0.357739172997463 0.0563769616580317 0.0533305451728656 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.319596815006913 0.357258765251458 0.0572962041982271 0.0538004832739419 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.31729872197037 0.356570403986219 0.0600165845852795 0.0550183793840837 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.313319010387328 0.354617291629094 0.0618043839816943 0.0561464364105499 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.324794305254137 0.364735629412311 0.0913522035857881 0.0796385506901035 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.374841167709253 0.412564672033483 0.147069081865198 0.128773742630023 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.323441584281855 0.362854481274302 0.0553997703042482 0.0558944113827544 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.319900855224762 0.364261474688912 0.0618052704605355 0.0622755537213323 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.32214211122381 0.370499880085501 0.0855244217975643 0.0865975744703409 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.516650209137568 0.545529149673402 0.390991303190195 0.337389144938145 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.758917102439338 0.776001041510585 1.0621903536613 0.864588943973836 NURBSSource NURBSSource 20 201 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178263435168252 0.199488043010561 0.007738735769487 0.00696058136395337 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17984356870975 0.201034564755382 0.00780684636385026 0.00727340787949284 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185297706268502 0.207744085770715 0.00862586513828756 0.00813146730458239 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184391382971384 0.206252369630363 0.00965444093333858 0.00946377378129222 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192031115507521 0.205309008523129 0.0218125059448331 0.0190884595166549 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222927595841764 0.23509464522103 0.0434367403138634 0.0407189779191742 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179345620349803 0.203515971936172 0.00871263237420437 0.00865853054227338 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181125706989876 0.206610056495662 0.012131395220195 0.0107255357993395 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19485355085738 0.223750902014193 0.0218912626417145 0.0193981350830031 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303183849771019 0.312721044835284 0.131932823989495 0.129464395936447 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.471092612895322 0.486077200369649 0.401486779146379 0.383784769151865 NURBSSource NURBSSource 20 202 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19908527803216 0.209127278153006 0.00778798096673243 0.00690137552019869 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201000670546434 0.208495755166559 0.0082422141453405 0.00723194124034661 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199062527367962 0.206584787392031 0.00853702347970046 0.00784157193119222 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201532454907901 0.214586531448395 0.0105969458107716 0.00962520758183815 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218140466513059 0.225303315051102 0.0259659630688207 0.0229869721177629 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256143294402563 0.265983090566837 0.055940996158858 0.0541136590570688 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19996201452288 0.205299807903036 0.0103080807909756 0.00769677629204434 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198082795934646 0.200717166502814 0.0150091190065847 0.0117010315933642 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208905834830293 0.210705904899682 0.0321930248463008 0.0265100934183666 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.386461473189272 0.39590054905068 0.230818514198408 0.225128357869857 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.593112009567398 0.614888299101084 0.695219242357921 0.658441419384936 NURBSSource NURBSSource 20 203 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161890433646305 0.193456548828541 0.0110146785304061 0.0165563615715714 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164052625834473 0.195190816823367 0.0107950187641243 0.0157638613340343 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163166866131402 0.191546690523918 0.0108038058100615 0.015643984513253 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159251339605263 0.183079315322113 0.0130766648184617 0.0161927182601394 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173121971650384 0.193789381696348 0.025404224153176 0.0251829679499658 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202738899311997 0.217434087764907 0.0500378391728834 0.0447000453028298 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16181205097358 0.194216298469858 0.0106484176444306 0.0165291041459426 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165281686314338 0.199151640344669 0.0135465647127724 0.0184361028636352 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170361101531027 0.207012911085038 0.0213977204822695 0.028132364141799 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.29700782670766 0.3361113525097 0.144776572586232 0.152981968925652 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.467514776744581 0.507405720155141 0.445441434081822 0.417234491287855 NURBSSource NURBSSource 20 204 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165745519264504 0.214360562442294 0.00663730494080308 0.0165201555396723 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165976718048307 0.214452147789609 0.00683428172566686 0.0167071349091455 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16655121605771 0.215650616576484 0.00719082697735308 0.0173277090551495 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169808838958744 0.217887272696383 0.00837062992447558 0.0184731260572626 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180282409550174 0.222920842286852 0.0239498353104575 0.0307545175694804 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217928851938611 0.252834085913198 0.0593331856027909 0.0584399174989929 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171095668464999 0.216825459170954 0.00762223147951424 0.0178003243176612 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168986517488706 0.217825784716766 0.00995809033299565 0.0221028239390069 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178609209076255 0.231190847589058 0.0244456469695903 0.0389563227815542 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.337608448735121 0.377229917016662 0.209901306273958 0.199430843720262 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.533969378336476 0.569229971391983 0.640916893451412 0.541362024713885 NURBSSource NURBSSource 20 205 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199651503697114 0.220484565368791 0.00677212572218561 0.00906079056856195 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199680894872792 0.21905469742078 0.00697238078392847 0.00916590597298426 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201731965054618 0.222648065712184 0.00722531754022843 0.00999155087314573 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200166113692221 0.220572063176634 0.00784752514184887 0.0107017322721852 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200474828540567 0.215691496374335 0.0198602409483374 0.0219551258614754 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225189307135949 0.239518658355709 0.0468737658308867 0.0472774604766833 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198999866589674 0.222484067028856 0.00774540597375771 0.0102198722302705 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203402751792603 0.219447133507703 0.010854940540351 0.0116859968920643 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210828298928274 0.225158369308437 0.0259985962510146 0.0230877796483186 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.368219468693394 0.368032397435727 0.212870012338467 0.169881378859148 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.566893174297152 0.579797422051642 0.629168609340347 0.510290864517715 NURBSSource NURBSSource 20 206 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.29041565626055 0.313649092997866 0.0114152727900158 0.0111073360672576 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288995966771954 0.311640945858616 0.0120731077293101 0.0110372814032341 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.285882614002973 0.309211130067035 0.0132068394140364 0.0118167309617611 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288484540980189 0.312830069895838 0.0163977091509292 0.0131691026515643 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.299727591187589 0.330441905626404 0.0502284079756082 0.0470500327322036 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.357340093117436 0.379601922207166 0.134412383564878 0.118857074570238 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.29317877587659 0.316365217253325 0.0140098675496495 0.0143447817864371 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.297327095254625 0.32024669773744 0.0228325144161954 0.0244458940064016 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.315434146576344 0.334938238710369 0.0596507089690848 0.0569199308119075 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.553798076794277 0.593377602957438 0.494679931592059 0.481123598110546 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.870818079440489 0.894431982122876 1.52948481173061 1.34347605386297 NURBSSource NURBSSource 20 207 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196608914755475 0.217032111841261 0.00675765508158616 0.0054368131230781 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200115512852346 0.217540516484711 0.00680242615741267 0.00561316369961077 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197485348126912 0.215318542531323 0.00670927390331365 0.0059544118587584 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199382847073 0.216519068549136 0.00797298484583081 0.00752694377532983 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210464220089474 0.228827018667656 0.0199131160093995 0.0184120514046092 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236580836345215 0.256536040003892 0.0440701970017238 0.0446537633511275 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193962663204899 0.213693948453888 0.0070176163075737 0.00620325086359513 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193224128350959 0.209309142885431 0.0115275604275798 0.00959435155442124 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20783838105147 0.215975717973611 0.026253249792701 0.0237530642886145 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.35686089676865 0.358406523068826 0.216875025962309 0.193315535554983 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.556165868822272 0.558849763938803 0.613876667774726 0.555685778704679 NURBSSource NURBSSource 20 208 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158006930823604 0.18718353376064 0.0153861210270964 0.019153260719202 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159027093295674 0.187894120881975 0.0152320802804096 0.0198728836449264 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159916030021689 0.186463358668085 0.0157236633136102 0.0201428417023486 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162696099091427 0.189293403844574 0.0178302200874867 0.0213898364723328 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186314967727429 0.21504037958949 0.0256381144602853 0.0313018349340927 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219296431868925 0.237041279504605 0.0459230460216379 0.0503972601406216 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1629540370702 0.190032120405904 0.0156935604353778 0.019037606312327 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170266978316329 0.194757316571808 0.0184982006135228 0.0210567622923087 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175194349779685 0.203129408462834 0.0270576674454645 0.0280107917825215 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.307448047103127 0.311662158147172 0.152935184042806 0.126913212920031 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.48086738367902 0.47941707940197 0.417223628027548 0.355668450231794 NURBSSource NURBSSource 20 209 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243595838192059 0.284722760549198 0.0146302213175187 0.0158229021342711 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240493420910631 0.283327854287002 0.0154312382988896 0.0161638867414904 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239742000066379 0.283535651066798 0.0161021682380084 0.0176195380508356 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243102709978232 0.288896423091376 0.0190693722624378 0.021156712010593 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.269143288891974 0.319828075057622 0.045186441919959 0.047447662454673 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.314191167538612 0.365733333003782 0.0982948003595144 0.100237149930787 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246079829230671 0.290423814634147 0.0160994516734961 0.0178155023262157 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237125979198215 0.284279692405045 0.0216270794544228 0.0235995113682609 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257819685371228 0.304633033372766 0.0475734452772903 0.0477421602715083 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.467364011359303 0.518902984145331 0.379108415492391 0.341237762187152 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.728022227777674 0.796572438631735 1.1620177943864 1.01394199881587 NURBSSource NURBSSource 21 210 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.281009079227123 0.335398451517372 0.0458223894695278 0.0515830195232422 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.277618924020595 0.329533883871001 0.045155167727288 0.0525233774371396 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278082897799853 0.329847300686301 0.0446723812378381 0.0541702118109567 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.285070804547259 0.338561933411356 0.048453559982539 0.0581644178253188 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.302674824640829 0.368517797362378 0.0747371086111557 0.0935084846986173 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.369723428464172 0.413623344060199 0.199282937333261 0.159843511119437 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282399108829423 0.328672164012318 0.0496513727215309 0.0574101699494291 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.293611544261941 0.333166599212397 0.0595238551225694 0.0647400843320167 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.308779819500628 0.347428467093009 0.0939863243805755 0.104436491298866 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.49562766489484 0.526341266613567 0.490182237019197 0.432910084111952 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.74603188452628 0.809179904719007 1.28764341770672 1.12349810031344 NURBSSource NURBSSource 21 211 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188640193275527 0.22168350990498 0.0154601989249473 0.0269294158230068 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190041949116375 0.224247994218746 0.0151930763139272 0.0271924172109132 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191891601314305 0.226149040999162 0.0165203876004543 0.0269008315225324 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196160519149497 0.235840381481266 0.0181298427646413 0.0278270280691133 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209046434269976 0.246755444693003 0.0356717950839368 0.0389227988157938 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249016613572395 0.271433315654997 0.0705018762598015 0.0608585193228313 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191351370059891 0.218883007683026 0.0160694327491562 0.0295292614576665 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198350608619335 0.234144700730977 0.0186731813228377 0.0338238930080486 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.216770680198502 0.26150928221373 0.0347575048822995 0.0535823926418602 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.375545926262745 0.439725646870779 0.218244849738968 0.270847654692891 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.601662582405311 0.682299100751065 0.718673798475059 0.665494595718733 NURBSSource NURBSSource 21 212 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190172489566915 0.211075460178267 0.00993809950343141 0.0241465499891028 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190321324775727 0.211496827539357 0.0103173566602832 0.0269477208554935 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189833562041791 0.20842133272219 0.0101615429702303 0.0269672160584702 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195047958063221 0.213995863708207 0.0117778694982041 0.0296945823117467 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209771567075532 0.227584739634548 0.0287780880064304 0.0494678164389364 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258070426734751 0.287154137273876 0.0671234582499126 0.106079923951788 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185130182867551 0.209046753472175 0.0107579444551949 0.0283572111871325 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185687166021983 0.207675514902242 0.0167530115494965 0.0332465854911693 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210497014713578 0.229253497296589 0.0395055132718954 0.0617056065398766 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.393260858369877 0.420575560864456 0.275621941334029 0.277461167293962 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.60895988966301 0.659031725434132 0.838665625320343 0.754480668192369 NURBSSource NURBSSource 21 213 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158697078963197 0.204744478830794 0.00783835877527573 0.017436109999464 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15831907390634 0.203045362657994 0.00745080542971328 0.017340657646 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159704725173168 0.205099162959407 0.00753603063483897 0.0176634293500353 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162390913294332 0.208706886398391 0.00921653302112289 0.0186173653410286 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171746553511636 0.222404049873802 0.0220437040591531 0.0301630313240056 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21426433481196 0.245838353668684 0.0482714198664837 0.047720948728273 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163350453148551 0.206688291200237 0.00964325593335289 0.0181798761432156 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163819483968901 0.20975061677928 0.0126624181331579 0.0216525099252091 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177498107147756 0.220416946239824 0.0254951020396985 0.0332472081302368 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338922641466899 0.373198174367622 0.210423992401407 0.177394228019325 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.523927108367535 0.564115571192171 0.643706840575694 0.486788372057332 NURBSSource NURBSSource 21 214 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160307901410525 0.2035223502864 0.00494075901175301 0.0118400714585052 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159986534401767 0.203427491965118 0.0051718890235863 0.0118009190513535 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159786124603587 0.202565472653406 0.00583535347103885 0.0119685033047054 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15985272151567 0.204339399674266 0.00770114316099807 0.0136471896132575 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189229100810684 0.22819516238256 0.028268191565866 0.0289592912702037 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234449143271309 0.267560585739109 0.073096695343952 0.0605712233399052 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16021297679796 0.201606833993859 0.00593903250602473 0.0129567961046266 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163839844448205 0.204080551067598 0.0102955265275923 0.0164376660922604 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179382601104605 0.21811916143647 0.0293319323374532 0.0302225215949682 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.345550658111721 0.401500355048294 0.242770975260125 0.207704434042971 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.549201472853728 0.615475314638699 0.827101830969156 0.576846774043425 NURBSSource NURBSSource 21 215 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192340251981095 0.210453722222367 0.0059689787217799 0.00855370383574946 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188482793716046 0.207391762858907 0.00614247832660588 0.00841916959935741 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187356481823015 0.207131671210787 0.00687784779160159 0.00944781008568431 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184510143490282 0.200966754502976 0.00826727383845057 0.0105969598291557 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19552325299892 0.205454590035145 0.0221449440380395 0.0215720871114969 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.231854330554993 0.243524040008893 0.0509012609027129 0.048794262538343 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188391281323226 0.206658430858464 0.00738547423904711 0.0101107067093776 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194550216637619 0.213025391436901 0.0106785351366109 0.0141151108332974 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202286407313985 0.223381410443423 0.0268133097696477 0.0302472988856432 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.368678616230415 0.393164326399523 0.245317833805324 0.221803806401515 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.578598030870744 0.617144609840494 0.78317417146577 0.616789841497223 NURBSSource NURBSSource 21 216 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239759912398198 0.266392174174378 0.0123418277788488 0.0127088566283599 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.233885126564165 0.259567365635513 0.012464175275765 0.0119115500498839 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228964925480047 0.251962929851065 0.01340478684291 0.0112000532654061 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232712938622294 0.257896621141322 0.016007793228103 0.0133875964966734 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.270622135075213 0.301475085037669 0.0458384888028091 0.0421962292491608 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338696392226959 0.37297993593952 0.123472469498489 0.123212119237743 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.231785746142013 0.259167789053517 0.0173100224976056 0.0159309738945656 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.233685622523033 0.256010769267473 0.0271491237095248 0.0233330504146187 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.289890921622574 0.318511545631474 0.0610474188498545 0.0601945601212385 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.558061529621795 0.588860743288487 0.548347702410166 0.46878641983673 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.866188967744383 0.920552067339481 1.5953863313462 1.33833913619674 NURBSSource NURBSSource 21 217 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167965835163875 0.185560652231882 0.0051505896401531 0.0102279360994613 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162643343182911 0.181274729174241 0.00517989074273979 0.0102359681395723 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16539949723281 0.182359875346475 0.00544307976286665 0.0106404239625312 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164846743313155 0.183276506507249 0.00659992564011706 0.0126833122044933 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180995870224054 0.194353699053176 0.0197964058831007 0.0289279759880614 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.216308797959474 0.232511715996925 0.045765132468411 0.0633192648718157 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174652774061877 0.192064148030502 0.00602095218760397 0.0114164028510143 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179084202663064 0.190343563113953 0.00986020054145533 0.0151023733219005 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206173025269671 0.205136675000624 0.0262109286195511 0.029644226770721 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.360476771355042 0.373105830999734 0.208310648113846 0.219374457695926 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.583099946822213 0.583673928479384 0.782574219984532 0.630934895918573 NURBSSource NURBSSource 21 218 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177558811899729 0.211481643220831 0.0173995733522451 0.0247123696861791 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175500830842153 0.2066124753385 0.017824988359198 0.0252261412895482 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174743956458579 0.208005173694322 0.0167957925165627 0.0250255974746142 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175028925421323 0.209683376634602 0.0171392561673861 0.0247198145178723 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183782228612332 0.230275423600111 0.0222772533977757 0.0320171577471062 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203341483095327 0.244477632222451 0.03952847784238 0.0477774734117616 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1755332511138 0.205641622396091 0.0176703264563442 0.024586471046019 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168548821151772 0.201196828572468 0.0195562448085567 0.0242147848291576 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179675209840866 0.214664598964615 0.029633578245447 0.0335741151323013 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.309858234508055 0.336637416609386 0.172309186170714 0.167051718420714 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.493995413610815 0.524909163127252 0.500052595828754 0.439599837991812 NURBSSource NURBSSource 21 219 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226944595093468 0.262055552270854 0.0133846917453253 0.0122920329189125 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228165704969765 0.261047205120791 0.0139185341454953 0.0120480143026651 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228560046614705 0.261485191079631 0.0153028172074413 0.0137413901452496 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226931908665777 0.262232384359055 0.0185311242294422 0.0183593215221722 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25917573957232 0.298542874136189 0.0540734702297473 0.0490517812998103 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.320820743806289 0.360468809736587 0.137362318680325 0.118465809490375 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223880425407139 0.265521861104868 0.0142531604101071 0.0145832632342906 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227037929523071 0.274889147589371 0.0225329904483394 0.0237566883053335 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255291769150143 0.307948279799249 0.0570752724056533 0.0554764291603509 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.512416721724692 0.569709724429872 0.564911562839569 0.449362439725306 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.825592529611203 0.908063707113166 1.64734599010002 1.20765807886 NURBSSource NURBSSource 22 220 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252641793832524 0.269206343288115 0.0668953674108405 0.0371451472898003 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254921098006807 0.270974491663775 0.068721897507129 0.0375190658001669 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256471216157651 0.272835889097479 0.0692661832990718 0.0380795164076425 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.259534290155045 0.275990833577177 0.0708919739840055 0.0395857290437994 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257670449390839 0.273422105336465 0.0747004286556718 0.04529909516816 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267669420026386 0.280810564236393 0.0851856285104159 0.053580887651785 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250963383698275 0.269441362424201 0.0686502603667342 0.0390110839083152 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247706140630051 0.267180143915689 0.0675982752740717 0.039810654965394 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248467516378939 0.268454062160162 0.072196897475602 0.0442324860547067 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.290215791247878 0.311083058224746 0.118898019737708 0.0880041882249353 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.369306609355491 0.382395837635054 0.233157467810848 0.201642338277023 NURBSSource NURBSSource 22 221 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195399362278008 0.21961375288521 0.00624711022221034 0.00560324961720946 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197524371898016 0.221166433797649 0.00622393475288527 0.0055603662625146 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196398813042795 0.220950133051394 0.00636221357609727 0.00586027097647368 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197892289581766 0.221935045501406 0.0065328496023428 0.0060828946815827 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18870153352998 0.208852724187045 0.00853056721729327 0.0090146822698804 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185540234649986 0.205429974812677 0.0123505228282346 0.0136281458657205 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195044588996941 0.219501132496384 0.00658421041484071 0.00606214376193511 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192556201846803 0.21808508644973 0.00702156166858019 0.00715123558446266 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188041396478659 0.212776442593168 0.00942958336347037 0.00987993920545481 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203633706851358 0.226293013087865 0.0351591064326032 0.0357755678029642 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.263908564396868 0.284247493239937 0.0892832231878459 0.0891022595421606 NURBSSource NURBSSource 22 222 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196151986400295 0.211984030220423 0.00978639516483282 0.0157847086977148 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198144739680445 0.214489593508579 0.00968100307169661 0.0159465555852807 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199832569445777 0.216363831801842 0.009585586948988 0.0162622419815965 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200380698988418 0.216189896128121 0.010053851247998 0.0165792494172537 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211343981480513 0.230014989140191 0.0132742057420734 0.0211790639521843 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.216187186710897 0.232275124474383 0.0201141645031244 0.027884943933181 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199326052740185 0.217188184169458 0.00998744281581536 0.0165052421139183 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201811378544106 0.223573883596659 0.0104695301283824 0.0189950029518704 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20671402490804 0.227855910587609 0.0137109442713649 0.0224337816405823 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242546161694745 0.267664292460131 0.0478596224817424 0.0569721045320786 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.311016540615984 0.331864396778176 0.122983943659854 0.126427869932896 NURBSSource NURBSSource 22 223 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.141905312064088 0.179956004627542 0.0102732165176309 0.0161299858208374 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.141826159845361 0.180170710927227 0.0100209223445064 0.0161782321702155 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.143461568592141 0.181142594249369 0.0102751758283615 0.0162584394399538 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144143188725332 0.182802840744485 0.0102562401343305 0.0167076054596959 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144283536534967 0.185830087938583 0.0118886445835389 0.0180865388731145 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.143484703966135 0.18451770094127 0.0150939451017673 0.0208847145440845 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14337884782687 0.182080923648682 0.0101967951234193 0.0162191737150781 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.143027779154506 0.181283061998629 0.01048499421555 0.0166915714366167 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145745990958225 0.180213729949313 0.0134447892921993 0.0175349313033675 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177065987710389 0.202069111088295 0.0345540008848482 0.0347009078978214 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237771880463761 0.25277297935765 0.0797160856067417 0.0758437201011236 NURBSSource NURBSSource 22 224 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154828035276849 0.19284071479154 0.00506014072029469 0.0107502653176697 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15551163595079 0.194154163401091 0.0050563221066355 0.0108139591281476 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156316260479026 0.194934064365111 0.00509492326954486 0.0109543976162476 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156389039416878 0.195370751368271 0.00530585266719237 0.0110541422568205 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159955580743244 0.199529178777953 0.00797704057942259 0.0134237027833455 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164037843004852 0.201480211778808 0.0127768807254157 0.0180036496196427 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153698517425877 0.19196134065862 0.00532886706469668 0.0109454218804109 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155000343337071 0.193834545934953 0.00609340155605457 0.0115422372681336 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162476054896653 0.201545183418255 0.00875813753384185 0.0139677205876087 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197387418040822 0.228591275349505 0.0356020570930696 0.0401555084961301 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264469594806527 0.28781328803748 0.0978954355690641 0.0957900588368151 NURBSSource NURBSSource 22 225 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174315187024024 0.190883315183608 0.00600916237220261 0.00912930534782119 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17421854967018 0.189333944966267 0.00602334905634162 0.0088575113910307 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172637208674958 0.187370601545745 0.00604827560693319 0.00905198139283563 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172211187894373 0.188434807922111 0.00611000617653272 0.00952332477292639 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174915351614638 0.190907245168675 0.00914688700687841 0.0125555968421189 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180898947700552 0.196842150162771 0.0157907741787077 0.0187998670606791 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177357045158501 0.191853306525868 0.00609592816289284 0.00937669562912234 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183528459662379 0.198519456135605 0.00725327700741279 0.009768119321219 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178321982834358 0.194165168753787 0.00997451083143086 0.012652079678169 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220408474117117 0.233071570807537 0.0481705871763266 0.0495918912978401 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300371032383995 0.310324698281591 0.13369426757775 0.132549109297202 NURBSSource NURBSSource 22 226 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249732746207063 0.270821418347688 0.0126080257325416 0.00939405880277088 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249717090951291 0.271354853128753 0.0121405599236186 0.00942220261899329 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248474362350204 0.270874724262115 0.0123117082262204 0.00983808610861874 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243867191848241 0.267417612950634 0.0129393577518827 0.01074774446366 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.245308691754543 0.267397215476938 0.0194609305528273 0.0172388307804557 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256514977245277 0.275306255170725 0.0313331181513443 0.0292935051166487 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251911733730919 0.275450216788519 0.0129921236661633 0.00992677676306128 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252745624386899 0.275611748551053 0.0149162937438658 0.0115170916514146 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.265653023193854 0.289139914486696 0.0210289866012827 0.0176507635143598 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.320335589359046 0.338193272946489 0.0947968150184131 0.0904876409960215 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.436800185000432 0.449564300704895 0.268222086233562 0.250611591316753 NURBSSource NURBSSource 22 227 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191060835334385 0.181266005610225 0.00682319127746671 0.00798199723180607 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192749138137232 0.182375581628516 0.00683162089595586 0.00817864619890704 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1934351026829 0.182883023127547 0.00717410292426443 0.00840668534282494 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192948270370226 0.183732459250926 0.00708769616844393 0.00881806016108637 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188722783217142 0.181857419526483 0.00852671598316346 0.0105095864012399 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191340534370714 0.184635260648289 0.0129661475700349 0.0149786931871805 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19025584285368 0.182212407071132 0.0067720230263791 0.00842359458379559 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188183042603763 0.18076523296696 0.00741081341895569 0.00888057935417058 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186130746900644 0.180013143620687 0.00919872799828756 0.0117023614889398 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21514771525337 0.211633939637526 0.0327479157782344 0.0347923454396097 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272022041747363 0.269640308275409 0.0851655324419978 0.088500652419453 NURBSSource NURBSSource 22 228 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190920120607851 0.216583483304561 0.013449746401624 0.0431382991714778 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187922864380508 0.213999962624209 0.013619383863289 0.042930365028671 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188393678751986 0.216150091766242 0.0134673002863378 0.0439687377330584 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189222630816602 0.216007728789646 0.0135218080665847 0.0436370306077648 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19211395535839 0.218454079761541 0.0142970001311031 0.0458981986660001 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192309762078365 0.222568571538722 0.0173912442461272 0.0506907230030688 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19440228746151 0.22139804293027 0.0128254683825886 0.0458670472323419 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195315416093887 0.221270514897804 0.0137558195565872 0.0458224427985021 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195017310607914 0.222005221670063 0.0147544138904476 0.0471260512052537 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200527903856081 0.233833542623798 0.0296067824115718 0.0647780430484255 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236433686267308 0.259371442363417 0.0633199866706076 0.0961429501426409 NURBSSource NURBSSource 22 229 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228539214850459 0.265273792316409 0.0108748757206898 0.012831356801187 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228687764463354 0.266014809221612 0.0109668134127613 0.0130342420161285 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227622494028349 0.265039464354697 0.0110471111153016 0.0132802973989957 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227593052320318 0.265047883593685 0.0116127603263042 0.014012211367517 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229588824928147 0.266653690165645 0.0182225939386199 0.0193409020678247 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236116574135561 0.273089861991006 0.0303226349055783 0.0304072322748946 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227131624083924 0.263850212193839 0.0114458790372999 0.0133533484961645 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230573035564478 0.267300356241267 0.01275299586817 0.0149106964691549 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229747557998345 0.26743210673626 0.0178283290986855 0.0202947796037196 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288397154411118 0.319071671627461 0.0815853353680398 0.08318449935348 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.392391953881215 0.423161457768481 0.230209401443302 0.223360437840917 NURBSSource NURBSSource 23 230 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.302135375656317 0.316747881144607 0.0922885531175076 0.0634196506659575 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.302574474959217 0.3174831494713 0.0919668241092812 0.0636684113669613 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303606928384043 0.318080167184188 0.0907532071362733 0.0627628305331404 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.305398145584567 0.319701804409481 0.0905259165039721 0.0622138568203622 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303256419455339 0.318230850374615 0.0910442765910643 0.0640034928844037 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.312153409975064 0.326066341093698 0.101695064956971 0.0734804951511243 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300838620774808 0.31736545356586 0.0897429718026775 0.0634446452128995 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.29886343796268 0.314304811367283 0.0868683347582501 0.0621922931856963 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.304678948394188 0.317306979144721 0.0917588267145982 0.0650396486854052 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.347059917097217 0.365739781534447 0.148612895173067 0.123012840698239 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424387900347035 0.447816514135542 0.269083583756007 0.240111499489245 NURBSSource NURBSSource 23 231 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196275047078794 0.211831075708396 0.00765795646960191 0.00601952570007014 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198917130597226 0.212732778426948 0.00758165464795532 0.00599644895334158 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198672352397777 0.21349507192157 0.00787283428323373 0.00617874435528848 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196892227407669 0.212438159095153 0.00857385356716271 0.00658261214180935 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198090355536979 0.214511553271485 0.0105651669141675 0.00947868126638498 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192563636452459 0.209178842858692 0.0138133280697153 0.0150934843700801 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193586505794755 0.21510334488032 0.00743354574944534 0.00569606244100822 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189061043462443 0.208398017547156 0.00760928955031217 0.00612385768929138 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197110509407578 0.213035018904073 0.00974752130249069 0.00941419032966969 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223361740780114 0.233906488953674 0.0356440315888953 0.0355419973154752 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272627376920323 0.286681632233785 0.0862658587050362 0.0905616384106924 NURBSSource NURBSSource 23 232 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224885018472314 0.247330574462034 0.0107223614643451 0.0216642193957571 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225387118960263 0.247678375856427 0.0105319100341427 0.021729612679144 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225816198885743 0.248824750535382 0.0106014727925349 0.0216486834114953 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226968917780424 0.250714249015511 0.0107711139897482 0.0228589082847899 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228881078190726 0.259910460132935 0.0137840525556648 0.0257660850717528 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237138552459945 0.262810658412746 0.0199432100759355 0.0286840846911019 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22336064414503 0.24532496562858 0.0105057525890619 0.0218107303277155 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224776358553884 0.246060422671843 0.0110848911447568 0.0220409950236008 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225669894324545 0.246945989082013 0.0132488662594229 0.0230633133736021 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254758606526716 0.274600312329006 0.0488410836689647 0.0552835433845928 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.316199862954157 0.328137379919718 0.129927821253841 0.13004993053153 NURBSSource NURBSSource 23 233 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155693406876756 0.189952577726925 0.00962247816363941 0.0141896110610183 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155028089202029 0.189534269504235 0.0095352074187549 0.0142604582829225 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154568890122589 0.188187109198875 0.00971681907962926 0.0139104207244784 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156018330381424 0.189350826945984 0.0102305706704819 0.0138310468761436 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15818942794835 0.189364373827886 0.0130511499237738 0.0152476912598873 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159163833703682 0.194240836705935 0.0162168706207944 0.0195723752443472 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.157517910416806 0.191875411357037 0.00985853188603259 0.0142852103361352 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.157652750751481 0.191126527073978 0.0104155841135792 0.0142617934111056 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.157939140482559 0.191203086370389 0.012792157467678 0.0159181482781682 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183346203919867 0.210300815066461 0.0367772180436006 0.0384135812125624 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.244650496245164 0.262912901029015 0.087232604066575 0.0852607150960539 NURBSSource NURBSSource 23 234 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168989221475346 0.209482600954728 0.00513150639101464 0.0118416891128034 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169473743701238 0.209873853663707 0.00521185100861849 0.0119308163372651 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171224162266258 0.211879560023779 0.00522375801771156 0.0119645664068132 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171708116020056 0.211858670875145 0.00562103097078776 0.0121985709197744 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172579361427313 0.212310610757043 0.0086537329842785 0.0151953948226995 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176084068082836 0.214357217665896 0.0146472681016993 0.0214242326137967 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16925772947237 0.209422447284681 0.00537656557291455 0.012050824045108 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170341438284808 0.210386208548371 0.00629666700146588 0.0129542541204763 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167582473473581 0.207905049490505 0.00936984118224027 0.0161740687087301 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211795472264564 0.244691419678356 0.0417243360060371 0.0461562787886214 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282784299103286 0.303569315377703 0.112292939712085 0.110421634884073 NURBSSource NURBSSource 23 235 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173624263065515 0.19350943363241 0.00938037317916522 0.0118652800553179 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174721808673689 0.194897554472091 0.009523601262961 0.0121749090374242 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17475987684363 0.195053061146898 0.00963812930054479 0.0124000104843231 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172427083616242 0.192443983429804 0.0101570637872838 0.0130297577203792 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175120496400105 0.194735505613183 0.0130283514148897 0.0163767459919835 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180383731027882 0.197399123390879 0.0180300348818163 0.0206866347960147 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177612457344583 0.196216949884773 0.00982041437235494 0.012182356111229 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174705734864142 0.192570184616932 0.0105346515644993 0.0127514340528727 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175427102587762 0.192280290072729 0.0129340329106525 0.0152013867354073 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207657518402898 0.226080237942124 0.0443514369501881 0.0482830139753833 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.279331469020288 0.297472143086597 0.113432272851725 0.117368624967512 NURBSSource NURBSSource 23 236 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.289357186965479 0.31871348104327 0.0171149601965729 0.0132413678858211 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.289871028885987 0.319117230612913 0.0172350943760484 0.0131667358800308 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.292446079996498 0.322295667091606 0.0174549376258196 0.0135706601700642 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.29876694862479 0.328807526328197 0.0179678458816229 0.0140989551823724 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.296062330178086 0.324086699027251 0.0257903531065815 0.022022329239514 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303085980432473 0.328052734482553 0.0404989908798723 0.0363412401988036 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.291273577537541 0.319299224561134 0.0187322640199749 0.0136235507012554 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.292258705717829 0.320361791206741 0.0200784949553926 0.0162674895319376 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.295796964786262 0.323807253946638 0.0265384423856927 0.0249854270487011 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.345477891219486 0.370316247857142 0.102780283414785 0.104430565617595 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.450724765863936 0.47036288817544 0.285014939001516 0.281478820271445 NURBSSource NURBSSource 23 237 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200095925918123 0.206310298741231 0.00592852015862841 0.00560261085725924 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201142979837096 0.206491968298354 0.00585843552389072 0.00561860302646513 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199812607621333 0.204744924350599 0.00589154271199174 0.00566335625529049 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198739703005827 0.204621629494446 0.00623529253723246 0.00618324989883392 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203061751122654 0.207998512043052 0.00866530521710421 0.00953705026416927 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207575496320992 0.214611656771936 0.0140794506649789 0.0150844422433951 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206413849057412 0.212485331894131 0.00611577235029596 0.00615563615463335 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204949725319729 0.211453967036359 0.00674474209168699 0.00663987327865376 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206320552289725 0.211566224418753 0.0100359093379917 0.00938024959527148 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218383508959395 0.224578915954422 0.0416568839435633 0.0390698041874772 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.292945655146048 0.301282678605062 0.105624048162605 0.104852263578608 NURBSSource NURBSSource 23 238 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184054548859917 0.194813016817852 0.0108775692572396 0.0236996615855667 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181287318248328 0.192971776974549 0.0106311453071369 0.0236220794151349 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182168879911335 0.193996467602914 0.0113113622493455 0.0241649236867767 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179293688343925 0.19147249764436 0.0117072156697908 0.0244115161373401 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179957670067408 0.195884044151128 0.0137210679571556 0.0272912370499854 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182614174611689 0.196623857916139 0.0171714519747851 0.030913038550463 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183439742148908 0.194635527380903 0.0110753194125266 0.0240457400544344 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179402654858967 0.192336828197029 0.0116285095501227 0.0247995176256177 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176844109616372 0.190966011443752 0.0137255534901439 0.026764194325353 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205602561021333 0.220590679701803 0.0352560567398769 0.0486652921488244 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.260474169436775 0.27166166522785 0.0841631478933446 0.0971317136947645 NURBSSource NURBSSource 23 239 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249387494122357 0.288965883878391 0.0110293638557137 0.0152854421930842 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248157858590211 0.287474012102334 0.0113491930811745 0.0151671000576232 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249978461821584 0.288469015969228 0.0114719115334359 0.0155744427165517 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25303420204205 0.291519176753845 0.0118814540387911 0.0162616723373878 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25350170738577 0.291668120975529 0.0171784859147681 0.0204839404723082 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256731940393981 0.294091280105674 0.0285799339756311 0.0298904637815453 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252387876743307 0.291510342835017 0.0112328811853141 0.0152601591477982 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253468026233697 0.295367015178613 0.0126825300657117 0.0166646917532759 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255368795660106 0.296226041071355 0.0179328842750597 0.0211942642645618 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.296379424027928 0.332338594877319 0.0777793382121608 0.0771658891799777 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.396560272354338 0.427526366330299 0.213938848292954 0.207478476489586 NURBSSource NURBSSource 24 240 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.304348252278647 0.317311693320075 0.084915438514698 0.056244464043498 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.302523863184119 0.31516371814625 0.0852343978566887 0.056341916437661 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.301661435899394 0.31468552475508 0.0858262544703613 0.0567599819726319 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303067396339735 0.319648568687105 0.0850542338428401 0.0580739146753065 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.308326634619639 0.323252868068054 0.0923327863111063 0.0611493350740034 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.307306923746187 0.320523991323797 0.101147089925587 0.0701050734865765 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.301662358139958 0.309987360984077 0.0827375799033724 0.0535338321198246 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.305851367457991 0.311857647794356 0.0845034208572327 0.0539367693484186 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.302022595256203 0.310536622594363 0.0868950930462915 0.0565931559428338 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.327478040881986 0.353672880386282 0.13203493746655 0.109446553945277 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.416385451453488 0.429471408782401 0.254002068839333 0.212910440954299 NURBSSource NURBSSource 24 241 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191234368822528 0.215912857928308 0.00707626873919184 0.00900966099000083 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1926927978922 0.216990621427321 0.00724391436174389 0.00887368865465544 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192387272780676 0.215764652884694 0.00742800092675248 0.00871235851640192 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191264376341335 0.213327675453528 0.00755761046194548 0.00879853124515147 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194171820110758 0.216928599222556 0.00996494103129574 0.0104595000520478 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192986571107221 0.216246072070132 0.0152944568115211 0.0158144488074542 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19326305085562 0.21673326443827 0.00754650689969414 0.00957255501996723 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189182516514203 0.212773067279044 0.00822031111602089 0.00955186078316036 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194251492403395 0.216963613387469 0.00962095994876515 0.0106890139647702 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217900920248188 0.239523016411497 0.0342962774164552 0.0362268030144267 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.274641950170196 0.294230894245322 0.0916605035270932 0.0926903161462982 NURBSSource NURBSSource 24 242 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217187517089189 0.2290464447341 0.0099083536847896 0.0173881938190057 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219945425986884 0.231946589702332 0.0100345731417172 0.0173068939711143 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219890469998861 0.230957369101259 0.010585584796251 0.0176076127817451 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220360930364665 0.232954728035994 0.0107226953575232 0.0184414557055417 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230021119021321 0.240428957669854 0.0148482780140948 0.0227752247364715 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.231646446119549 0.247979483811476 0.0217043247983578 0.0292578752191557 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218420829790577 0.232308973189508 0.0107833202160188 0.0175713358081673 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217064412573097 0.231347898785835 0.0119753842158047 0.0184423016584584 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.221624518937787 0.238083332014634 0.0150141359634198 0.0216784319365954 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.269424094866688 0.276462667516677 0.0548150245383015 0.0604027861424702 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.333728110313482 0.340904003364855 0.135047421874144 0.137447432919751 NURBSSource NURBSSource 24 243 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155970896816478 0.185434398928826 0.0104206545464482 0.0123408573169638 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155109179111266 0.184181569463308 0.0108433905515755 0.0124249019188883 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155348834202228 0.184813224624893 0.0108414600391467 0.0125249853085069 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154385720646792 0.184982837312558 0.01107342008195 0.0129557111292475 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.157115874204432 0.187706865288836 0.0129928283964327 0.0143527113056089 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162170435043816 0.193951654666029 0.0169325144010982 0.018452703688108 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.152164477253301 0.182309853452784 0.0109561818402972 0.0125917971891048 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.153766994320606 0.185426756082061 0.0113722948505368 0.0130233108871426 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156290475100504 0.18623535273738 0.0133975629768784 0.0155126397367505 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18786794860861 0.215216456308499 0.0383001227677766 0.0386547440215022 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255545525968522 0.27624211349196 0.0958441148614356 0.0912234536973009 NURBSSource NURBSSource 24 244 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162794599481347 0.206805733984979 0.00570201349708012 0.0127296154861773 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162994574895068 0.206077080609737 0.00595556360150969 0.0126742420548918 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161590431246543 0.204587369973686 0.00605287231086605 0.0128616345449654 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16129847358967 0.204402768973707 0.00630618501170354 0.0135046213510546 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164522866734785 0.206444517357872 0.00955013158709767 0.0166969305648388 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169610612558541 0.208259302958263 0.015562905958514 0.0229546401946447 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164531396933887 0.207788606056239 0.00619570065823577 0.0131216600489085 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165157256024975 0.205666267088816 0.00710212161392996 0.0136706541448852 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165030583220136 0.205712269081368 0.0100951229147704 0.0165465886319111 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21221091862306 0.242570912554305 0.0454329623517764 0.048549528937881 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.293412238832299 0.313836882131155 0.117824301780274 0.114532357168021 NURBSSource NURBSSource 24 245 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177967236454189 0.202649986050178 0.0106354894345448 0.0110045214651588 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177957745167596 0.203089142136988 0.0105922904267201 0.0110334664718144 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178832516314066 0.204290602818589 0.0105945044035781 0.0112458691548273 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176533460136181 0.20133788619166 0.0104149959284692 0.0109559135410824 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170529678502425 0.19467454076469 0.0132492220187425 0.0141958735797729 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18217932316128 0.20197005953686 0.0181556214419834 0.019490604473594 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178575202091578 0.204588650258876 0.0104679977082556 0.0110069166100275 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178905863385153 0.203294856668749 0.0108174098353057 0.0113651263195677 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178125231113825 0.203193212436256 0.013499021555612 0.014076727235169 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223168363656864 0.236125977244891 0.0482220892349527 0.0453355918907692 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.294646639442185 0.305544681065971 0.126005001260412 0.117999415146519 NURBSSource NURBSSource 24 246 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.289974415374542 0.315126499438393 0.0141199514377563 0.0108757002143402 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288254142746437 0.313329773278373 0.0142952593016072 0.0113006419737192 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.289673630386182 0.315210448367483 0.0145000068003357 0.0111299733957239 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.286667366927692 0.31324272454614 0.0151244919362892 0.0118393747659 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.287470702051748 0.313263372785226 0.0221514047429838 0.0191209534831418 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.291484431477542 0.31553095439222 0.0373240032856582 0.0331083244733955 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.287843018078209 0.313387588663141 0.014456862927241 0.0121770399660382 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288057690716411 0.314580204894886 0.0170185735959827 0.0145884867477621 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.286257575243262 0.311112632553765 0.0243937980885217 0.0220290047385384 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.348689083538926 0.36820553921991 0.107071443738378 0.10467821019686 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.467032898522205 0.483731129748109 0.297773822229551 0.286161467484203 NURBSSource NURBSSource 24 247 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212795604449772 0.224005102184653 0.00725257458427038 0.00794261595902526 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212127555406387 0.221331358195443 0.00698918948618666 0.00756893711077059 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213101876514736 0.222201125286034 0.00737659387307541 0.00815340788422397 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209345374760415 0.218984905164386 0.00779875529844311 0.00824083144861803 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207847578181992 0.215264208500673 0.0106613564546273 0.0111605272933406 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211761250919692 0.219022060297712 0.0166215864215054 0.0169869540107313 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208682923671316 0.218933796764039 0.0072804902731669 0.00850981332486596 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209367467218303 0.218909792887651 0.00803326951500323 0.00902900158833975 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208537565649177 0.216799584143204 0.0112231801318514 0.0127018723020013 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.24115885170992 0.249844552977454 0.0431157070294935 0.0412302359353102 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.302501289220174 0.308796043004502 0.116216449128646 0.114097101527002 NURBSSource NURBSSource 24 248 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186094521086777 0.191966391506119 0.0107237907914162 0.022968574512513 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18659251875346 0.192998688272595 0.0105526324233242 0.0233939054315682 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187061832173489 0.193537860967411 0.0105479797652324 0.0231063023508422 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187924939102708 0.195184061977346 0.0106715397781954 0.0233018847495737 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181827811249903 0.193023486636795 0.0122579389244221 0.0244088004303 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185685202767939 0.20068225241949 0.0155521710296825 0.0275079990962249 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182011482719561 0.189573451654412 0.0113877438264638 0.0234467849147056 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180124582651436 0.188905385629353 0.0115448252596131 0.0242787847204746 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175723057394381 0.189498252499161 0.0140093566585853 0.0268808693014972 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203673224182384 0.217406519694383 0.0374440670589393 0.0468852860468791 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.260292253817104 0.261999762937515 0.0903001917331866 0.0910055500249806 NURBSSource NURBSSource 24 249 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262829652963075 0.297087762908449 0.0133969580165773 0.0129803063759324 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264015758654324 0.298821723983716 0.0136158111114756 0.0130513301633804 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266554973873151 0.300701609466333 0.0137836447824595 0.0133608196634463 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26637672396653 0.301027006613819 0.0137722924992631 0.0139527267272039 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264663887137173 0.300209101298013 0.0192980856513779 0.0186889096592641 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.270302679874905 0.306703455374741 0.0296223602460199 0.0289476577920521 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262873684751082 0.298329082504566 0.0143477366470834 0.0129438835234665 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261380299960577 0.295825893181206 0.0151147148498888 0.0142416281129108 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253152219154623 0.289796176830044 0.0201058893335217 0.0203283940634042 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.297671291270868 0.32639053101296 0.080065138206613 0.0785027389247063 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.39713268928015 0.426036558444485 0.218202389750786 0.20972669119592 NURBSSource NURBSSource 25 250 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.268282699756234 0.283339896600282 0.0861378762434318 0.0608823174577692 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.269225869278259 0.285441124599734 0.0850052899804489 0.0606637650848504 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.268878742579443 0.284788366312319 0.0840708478750168 0.0605437852657697 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.269361613852518 0.284328547542815 0.0855584535813921 0.0588394018656478 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267279058049774 0.27901181468583 0.0874081584233384 0.0597301474313209 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280058909566321 0.288954185207328 0.0978739141421401 0.0704154325721829 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266795720834561 0.286195737148722 0.0857806173887662 0.0611748006474803 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.266986059935761 0.283414069232633 0.09174827078098 0.0600713553954915 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.273096172048522 0.289036709046388 0.102928893875321 0.0642735236527818 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.331104000014356 0.339069070176955 0.172152993544381 0.117781578074279 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.424176017565267 0.427797872415498 0.329955714388293 0.260497251081514 NURBSSource NURBSSource 25 251 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194379990315497 0.249128276763017 0.0158470520614707 0.0590692765659703 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196380364420558 0.251053886232154 0.0159756552078855 0.0595103299249419 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196490300950511 0.250051071008967 0.0163122090959816 0.0578386440688023 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198051435912573 0.246055474105384 0.0166270601770156 0.0531622935211359 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192475992532508 0.240638776781658 0.019265958228563 0.0501696857463276 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198814409961673 0.234816756841815 0.0269879935907781 0.0439061534418085 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19496768304273 0.24905233457474 0.015709566174133 0.0594080104465705 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200769642453562 0.252558286257505 0.0182669341197662 0.062036844567334 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205949557475851 0.262069436647606 0.0210629811709756 0.082280002184245 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251077279597197 0.306793126334677 0.0606233694422029 0.12259693674668 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.30752509926059 0.367381082639267 0.137081348570495 0.201743307266602 NURBSSource NURBSSource 25 252 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201704085049288 0.224769250652457 0.00977964606404316 0.0228880019780036 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203471479949126 0.225900749471345 0.00994468157218708 0.0229545755840276 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203937260599069 0.226109557251425 0.00997688729993363 0.0228311173189546 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202386689705619 0.224290275143533 0.0108374592193511 0.023348221587913 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202813899468011 0.228521476851982 0.0145136498251948 0.0295667706829234 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211005329953945 0.23379530777483 0.0216270798446918 0.0366588553972914 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201828980390673 0.224055494320616 0.00997345067431721 0.0231726173610587 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203265888602869 0.230190667888655 0.0120214486168836 0.0275946239774113 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210060899349935 0.232699324370552 0.0155094214964763 0.0310054545204745 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255431404831198 0.272627776856968 0.0571071980625067 0.0741335395761172 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.330002519469034 0.348754329981635 0.144246302689194 0.161241042703316 NURBSSource NURBSSource 25 253 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159427188897625 0.205094449329433 0.0169864173759444 0.0408608309573785 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160009657428242 0.205884444466619 0.0171426564672723 0.0435385699172562 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160284271026892 0.206763852931818 0.0172833422974011 0.0443668779230622 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15871564530661 0.204232497764227 0.0178239657181379 0.0430139275462363 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164611517854815 0.208980966323268 0.0169800150881277 0.0399723296897346 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166650534727276 0.210676421011758 0.0221454886334169 0.0412207997173577 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158765928230435 0.203278466329347 0.0179483450246727 0.0411275679147521 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15553472821478 0.199431889710544 0.0181039639747247 0.0417089548722913 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156941689917593 0.198563438901981 0.0210653298074579 0.0347165345604827 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197120243200432 0.234385236984005 0.0463310281879244 0.0597779053628208 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.265283879910548 0.314438287049946 0.114586219974789 0.139878950801881 NURBSSource NURBSSource 25 254 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161729608847331 0.199309578014324 0.00511903839517711 0.0127392797983646 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162979546093216 0.20090133168935 0.00532899552714546 0.0129436322817537 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163436710312123 0.201562267337289 0.00542681320753992 0.0132548310050196 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163553266717309 0.201361474165203 0.00556503813417157 0.0128649929062715 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163541194583888 0.199778496035233 0.00897040299574043 0.0155538231169227 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169154476680406 0.202320772997181 0.0164561702628068 0.0210942596369705 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159812094581308 0.19936567830502 0.00534331059712895 0.0128307203260758 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156657254351104 0.195759202209213 0.00619320516969515 0.0136727139365997 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.157794503969846 0.197101107065133 0.0120057564221115 0.0199342343541424 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207915291147476 0.25218808018999 0.0513237498448127 0.0644885931420683 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.297901502354361 0.334034825952559 0.141231312919018 0.141969495874177 NURBSSource NURBSSource 25 255 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176996380213475 0.188879578552972 0.0132160000551621 0.0121906148145046 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175815031571888 0.188529959867548 0.0132165892832608 0.0122878187547238 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174402639828177 0.186241215383488 0.0132141941376125 0.0122298814583219 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174264746223127 0.186183015009199 0.0137516815737827 0.0125093547533079 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17390774879662 0.187056859069835 0.0180689693570808 0.0167091330413849 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182859111009771 0.195048063461785 0.0234634377278512 0.0222403014579797 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176189468002675 0.188408536139872 0.0131653768503403 0.0118290311428584 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176595435196441 0.187380287996385 0.0147056334829745 0.0126884796067242 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176701534645879 0.187152948952143 0.018356899300909 0.0158714570036002 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210999652169206 0.222617565680895 0.0540832260667727 0.0498513201642872 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.299599292374468 0.303927880125013 0.148119911203285 0.124882822656262 NURBSSource NURBSSource 25 256 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.259293366677107 0.27968537865173 0.0154867951408226 0.0126544307655661 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257631469926982 0.278211660213524 0.0149908713853984 0.0124572261741636 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258568694453656 0.277480291312221 0.0146995423217089 0.012291546446932 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256278249985869 0.277315027263457 0.0152953436479911 0.0137015150722737 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264558102286519 0.285062917694966 0.0218512192946503 0.0216720574978991 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282092616935391 0.305918086466206 0.0364847782141905 0.0373048261816597 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261144144200945 0.283715358458052 0.0153447049200036 0.0131970933921541 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256032134639118 0.277997855731009 0.017461977083639 0.0145583882371375 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258320842178905 0.283744664679563 0.0235329923826079 0.0212893227159105 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.329262119782552 0.352737134345644 0.102632591878505 0.105240251237353 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.455477794768102 0.481867793981984 0.297282314717626 0.290706354779881 NURBSSource NURBSSource 25 257 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189051938447983 0.190606249525873 0.00516363061291573 0.0100054346722269 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190428816850938 0.19199133109354 0.0054197083345139 0.0103983694927926 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193464311913468 0.195696782347002 0.00578244298144963 0.011273335959464 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193561202278119 0.196746122807765 0.00631553403527298 0.0111897651229886 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186401527620889 0.20086386974989 0.00910191757232639 0.0175889144330191 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19760565214697 0.211570519915178 0.0153279070653513 0.0268219784900769 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188826828324928 0.192877308720233 0.00550376667911771 0.0109746287883852 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19457828374802 0.19550283238561 0.00634190566813809 0.0115399356136337 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.195561070542725 0.201642625094859 0.00943484721780809 0.0159010848539458 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230559995225343 0.247825820686426 0.0429755057913853 0.0586875089592703 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.311694045907575 0.340858166178158 0.127658597285151 0.199314667459663 NURBSSource NURBSSource 25 258 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191727677764466 0.193128039884001 0.0151998617132036 0.0317519925891043 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191827335495137 0.190557176094256 0.0155175330862716 0.0311632461316979 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192916009197987 0.191428572170201 0.0156362434725158 0.0312487222987405 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190771140619555 0.189346890130161 0.0166323322239366 0.0314145955525637 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190969424683698 0.19610556909556 0.0186741752163201 0.0341784471835243 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190872927715562 0.202115063369515 0.0238362206191305 0.0445324928218642 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192819977570943 0.192638128614138 0.0142182246467139 0.0308881229449606 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188850589304899 0.192246016867869 0.013564036301034 0.033990242595119 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184599747599583 0.192135816799171 0.0161662557740515 0.0402472059371463 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.238046512536145 0.257049231100267 0.11014906604488 0.124066608027893 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.319461131129771 0.335093842539989 0.25043539139125 0.230987678750327 NURBSSource NURBSSource 25 259 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.24561645686895 0.281281885789549 0.0120889605069664 0.0143821833319019 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.245560501480369 0.281076745870021 0.0123776442196873 0.0144087890005561 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.245492351169987 0.280276896342923 0.0128359097794564 0.0144310527509366 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246279745562935 0.281899678613468 0.0133776544260747 0.0150062857933803 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250471836884455 0.288329609282221 0.021460411704599 0.020302278351407 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251618130317983 0.289503181034969 0.0346377492587589 0.0322883738958956 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246691455244308 0.282845146917268 0.0131716425062391 0.0154944128561823 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246390501898011 0.284807405161733 0.0139361612303185 0.0159664944252841 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247467953365805 0.28528096680907 0.0204063393218032 0.0206062783403443 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.292990538959702 0.32968644463918 0.0872629118406736 0.0864613935931209 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.396812415250538 0.446861691921768 0.250259791981869 0.241793272595648 NURBSSource NURBSSource 26 260 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255719272646571 0.255196790570773 0.0632445578915481 0.0338706386088018 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257128016493893 0.256336314299573 0.0637450571277338 0.0340476471257152 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25626863464141 0.255043318639577 0.0637783152741825 0.0338032062270699 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254165635853508 0.253724531493136 0.0632137389444298 0.0338159354553574 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25412638503154 0.251517144016833 0.064176451220453 0.033267278873388 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250216558209283 0.249381160364995 0.0641281070301338 0.035213556866432 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256536303910117 0.256245198770078 0.0642600631115541 0.033449416388727 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254879525109735 0.253880362624006 0.0654533202838132 0.0334120350379924 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255736904791655 0.251584271798322 0.0679148913541601 0.0334537638803799 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.264932151349683 0.26172871826589 0.0751139208083093 0.0423540829004392 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.269492132756687 0.272907922678184 0.0869592452002442 0.0564222513775407 NURBSSource NURBSSource 26 261 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206027916563357 0.215587112305312 0.0116038112649933 0.0157595498653652 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207146140125613 0.215408567006131 0.0114773496568654 0.0157206854168514 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207918337510827 0.215998508045497 0.0115486692282785 0.0156485563519886 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206523149554227 0.215427788939105 0.0114273421548625 0.0154848073858325 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206654835989375 0.214732502999783 0.0120706455308116 0.0165304797537865 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202240587872092 0.212772528494369 0.0127597440020198 0.0179366765707599 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20745912847251 0.216033762433965 0.012049997357322 0.015920067284608 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207046445665639 0.214463601407921 0.0127819772621831 0.0172137728096721 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206333056824197 0.213529217007547 0.013419081769709 0.0189555266581357 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204875228614589 0.225821981336933 0.016687523923701 0.0284337387618889 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219014141063316 0.248217555703731 0.0292552083168102 0.0454502672957013 NURBSSource NURBSSource 26 262 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213540158654513 0.258137997843758 0.0105753865120328 0.120776387246418 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213186587589887 0.257128254503119 0.0109960950638111 0.119413507663999 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213870788287804 0.257973562879241 0.010933240836819 0.119419430131837 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.214344646331544 0.259838248735221 0.0108597370934195 0.120150295151508 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.215280675328273 0.257501923308463 0.0110923709415347 0.113061516444888 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.214501600957804 0.255080486711719 0.0117604585803484 0.107879641308763 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.215323914422144 0.258776058977283 0.0110762834818383 0.116756307203472 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.217404078705953 0.261545094898544 0.0110025823686705 0.119019315098384 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218039008226657 0.263750226958387 0.0110025453319769 0.118061338125255 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230664385610045 0.28314551454269 0.0173475460960582 0.135959683412417 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.233323628280897 0.292716827329552 0.0292126998653887 0.16946083095288 NURBSSource NURBSSource 26 263 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144219823694965 0.174760932115686 0.0116214360622003 0.0165676537367693 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144855024123807 0.175452763011203 0.0116370034975073 0.0165526339714899 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14488447373364 0.17570587727168 0.0115904152627815 0.0166361634214893 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145771824908731 0.176528006567694 0.0116764664516128 0.016696155986156 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144087933378482 0.173980932234097 0.0116123714176225 0.0167981563446709 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145253878262591 0.173840751071726 0.0126232067090882 0.0174881628375637 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146414267306109 0.177147950504042 0.0118121094191922 0.0166032537653425 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146913680679713 0.178020041665525 0.0118769471368966 0.0168169230834989 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147046587164028 0.177209962827638 0.0123232396909684 0.0173903951650192 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150030034855827 0.181408048213613 0.0164703320603671 0.0199895101926265 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161211636519985 0.187017191917982 0.0244926687650098 0.0246061500326774 NURBSSource NURBSSource 26 264 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160835942217133 0.19758956379764 0.00718410081884325 0.0255132872447126 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160515572233748 0.197104786243029 0.00718153984487046 0.0254603515786112 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1604313400422 0.197584167952749 0.00712433705839061 0.0255227228903148 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160396537593705 0.197516482816381 0.00727915190520912 0.0254462389509392 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158136130623937 0.197253680312762 0.00763653072795438 0.0260294774336514 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158917414335722 0.199178061288906 0.00843946429087521 0.0262680362698502 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160675503826156 0.198543420227885 0.00720096316753888 0.0255175490099443 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.159594588069171 0.197990652855677 0.00689786414951126 0.0250723394247485 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.15917915935432 0.198046006743764 0.00734427563703823 0.0263107630739211 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16260353618835 0.203918209819294 0.0113671752059625 0.0315719593536848 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176553641080429 0.220161589352212 0.0205408802792716 0.0431282323820735 NURBSSource NURBSSource 26 265 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176074232552262 0.190809838052463 0.00747763749470657 0.00998720537822885 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177341722723879 0.191073732349498 0.00744959858359508 0.00996835587133676 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178086683971613 0.191586265013804 0.00751326099310004 0.0100079535190619 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176639998786599 0.18979500866622 0.00749808385278713 0.0100355025994391 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174579852933081 0.189337324591565 0.00803862551698796 0.0108874998816565 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172792010020936 0.186725660159567 0.00904059005193411 0.0119715609407712 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175739413008236 0.18973017105728 0.0073866526254393 0.00986228472075484 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175692459146376 0.190603648537783 0.00771557412157621 0.0102466368523588 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177468119306617 0.191553791916279 0.00790903855238329 0.0107671397003322 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181796742094161 0.198168476288428 0.0144656830342981 0.0164973925788701 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201847088844698 0.217234917156577 0.0284602446161038 0.0287793543829421 NURBSSource NURBSSource 26 266 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247351504252031 0.265547585188595 0.0124488476615414 0.0105505150373893 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248925615353223 0.267036590372928 0.0123095931056469 0.01040091876666 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25045127564935 0.267622637545233 0.0126054707879822 0.0103906569406149 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249340014493368 0.26569211881844 0.0128440085270847 0.0106302691477161 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25519258463133 0.272053554520176 0.0139654430668606 0.0116174291370344 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252791023194646 0.269593983157987 0.0159409105477059 0.0136426990573724 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246552744886003 0.265559470978706 0.0125724293017121 0.0105231590775515 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.245312979166414 0.264848663940219 0.0128245751016739 0.0107590016313672 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.245729191117253 0.266489198673441 0.0139470649901637 0.0121346599277442 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252299607842214 0.27292192405693 0.0261639042410046 0.0232550749812784 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280814704783803 0.297427771824309 0.0495549971584414 0.0462398822878472 NURBSSource NURBSSource 26 267 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198843289557136 0.186131562806635 0.00700634728691845 0.0182880042109295 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197965932605081 0.185437452735138 0.00712825121476844 0.0181524779204034 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19716988371208 0.184751948126797 0.00709003776584442 0.0179805275729341 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19620706112217 0.184127430184673 0.00716641396161264 0.0179404255269129 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197367390225736 0.188570657651874 0.00771825726196436 0.0205002163754543 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199169781977619 0.190335894884069 0.00794409113563911 0.0229924654156978 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199659978760758 0.187226205147191 0.00689662026958417 0.0182681913909693 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199024648385965 0.188634251823626 0.00712663196945022 0.0207463643356935 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201509714936276 0.190016240344461 0.00833284121435161 0.0215627419224094 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201181870211071 0.198114287193879 0.0118155092918083 0.0320948659122743 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204864896176443 0.20850328938942 0.0194265621147619 0.049624985111194 NURBSSource NURBSSource 26 268 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191668427219277 0.230708571836344 0.0119549510147831 0.0817442486809935 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192488535636345 0.231590743343978 0.0121074768814096 0.0826017858845635 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193187051935528 0.231166657178413 0.0121567090646517 0.0821385201813956 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193104325273866 0.231170376064446 0.0121299415208902 0.0831604572379304 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191980981428707 0.228141371824372 0.0121193487754176 0.082200426216428 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190571002922343 0.230756242598609 0.0123308081974456 0.0864204163284275 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190802467355593 0.230236757195256 0.0119159059141334 0.0807277930133315 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191598489198045 0.229241978861737 0.0121505484568276 0.0794896842010881 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192191319112559 0.228574803797961 0.0122843354230113 0.0778624025784089 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191546140914465 0.229683087153647 0.0154588982810558 0.0753057181005937 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20428055902694 0.243149328018127 0.0213885036765741 0.0811252153811868 NURBSSource NURBSSource 26 269 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235252438606359 0.265226699274494 0.0118223620741258 0.0168188780495495 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236394866319638 0.266448824475881 0.0118747532630634 0.0168199375697008 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236706633368175 0.266073294247444 0.0121554921674233 0.0169048515093891 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237694095751776 0.266031233098089 0.0123602814245959 0.0171292612854194 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236909781278219 0.266047373307181 0.0131310863347018 0.0178664091468983 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236476615665403 0.265454341325428 0.0149989432039729 0.0191526157724142 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234860941205085 0.264936423869661 0.0122579500837774 0.0169339494930103 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236450920362795 0.265957625661708 0.0127235923951997 0.0168594676412191 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235699908376423 0.264031119395142 0.0137151368216745 0.0166037000369927 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237283870594204 0.268026529250657 0.0233322433908782 0.026109734063468 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.265269141096312 0.297093987013063 0.0440495026644248 0.0449858746107777 NURBSSource NURBSSource 27 270 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.274862798716281 0.263188746152469 0.0833769171980779 0.0320702396924668 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.275582912793208 0.264415935900776 0.0834901575770835 0.0320056378912816 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.276335665957888 0.265218917729227 0.0834974429203381 0.0321305652696024 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.27564756007884 0.265740840727155 0.0828926600436412 0.0320101639333558 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.273971132353011 0.264228818939401 0.0814408262706968 0.0320086167064583 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.267809525868566 0.257540864997922 0.0845080186759212 0.0319849167509943 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.276271977759835 0.266139124088852 0.0828071375935256 0.0321076487441393 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272873262640414 0.262595171595649 0.079373126339828 0.0318693936315165 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.275824588055441 0.263028635226076 0.0837391000218157 0.032498575487632 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.276972594902424 0.269565724065996 0.0898329061783107 0.0395129404554335 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.294819199117321 0.290257833153043 0.110251430769893 0.0599606327907221 NURBSSource NURBSSource 27 271 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204070293727218 0.206177816897772 0.0123918726262257 0.011205153281803 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205084675792215 0.205891051026918 0.0122916357330527 0.0112595897924551 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205693397204144 0.205662479045391 0.0124846257498973 0.0112306258494982 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205860513319166 0.205768268057602 0.0123861987743028 0.0111686041375477 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209049732004651 0.209532575704128 0.0119978919003497 0.0125767151816339 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211389582365853 0.211891724977595 0.0134923037572168 0.0147891771246841 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.207421692827305 0.208488964268139 0.0122714756537749 0.0112890286601215 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209519520320798 0.208599040973678 0.0128162071041971 0.0114953939176295 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210295318539629 0.212102745160562 0.0136688939024771 0.0119599307284166 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213226861095651 0.223147043642613 0.0195623616498914 0.0200247740349718 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223947994012432 0.244413229731457 0.0366306905473911 0.0364411063091114 NURBSSource NURBSSource 27 272 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223118581684604 0.272687431172618 0.0122828580271088 0.115885606239127 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222533895898485 0.271654326121212 0.0124084173698435 0.114298021321101 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22184611600614 0.271210853485019 0.0124303385083456 0.114321671386704 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22207900753055 0.272894309707284 0.0122627457485994 0.117947086127169 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223706634709805 0.272769620570098 0.0115804146409469 0.113623288551881 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225645496841179 0.273116443118304 0.0131521136370971 0.116798731908516 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223417362787819 0.270036488036725 0.0122627570274772 0.110167504118938 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224393990061955 0.271871992670975 0.0128833645967957 0.113529211407905 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225612767787275 0.269146212894165 0.0135331988274232 0.108177745928183 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22806964792934 0.27329595140964 0.0193950633153659 0.11908061381277 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.238270413352289 0.283737894221133 0.0282998682034674 0.12917007636847 NURBSSource NURBSSource 27 273 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167666369929671 0.18822735462282 0.0174308099470882 0.0143804358411079 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168307031314247 0.188201143460495 0.0174645979251943 0.0143412685906213 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168842598394472 0.188355030166855 0.0174243941861288 0.0143590965327703 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16949830298599 0.188105949106484 0.0173913814039892 0.0143009718345711 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16848045288165 0.18705022986109 0.0169365048203278 0.0145293487559864 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166916648768972 0.185936748942508 0.0166876941230465 0.0147909303176799 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167624063654311 0.18831413485288 0.0176631175237577 0.014388602964085 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167801405059041 0.187156102576371 0.0179558318491792 0.0144614341877025 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168323217566836 0.186481678411385 0.0179771458612915 0.0147622833029163 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169948353712618 0.192475025221041 0.0202670028518331 0.0186297708742292 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17214716544614 0.198513787760438 0.0255717967932017 0.0251181082467174 NURBSSource NURBSSource 27 274 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174528732146924 0.210994552332157 0.00737278851209051 0.0182700486561353 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173696590111668 0.210400288258761 0.00727058145679549 0.018268647597476 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173010255417022 0.209045788135873 0.00736454594190532 0.0181343697509729 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172003534928308 0.208073024132616 0.00730036538462871 0.0181656725721088 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170402631029938 0.209491099130129 0.00756746263271358 0.0195754157826144 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172802445611959 0.212017220921586 0.00824967897894526 0.0205495035588976 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174675232323225 0.211609833313508 0.00727304766294256 0.018696878481011 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17360261297945 0.211397750195791 0.00730409645137839 0.0186143816637899 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172264520342579 0.210863091754891 0.00816907300119447 0.0187682270192364 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176226261684958 0.21652817058633 0.0134941495190619 0.0242256366305594 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18847319222578 0.224569463642724 0.0262692187272741 0.0341778892032353 NURBSSource NURBSSource 27 275 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187704888669845 0.194065561524723 0.0108501739217718 0.0107269427334854 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188128941027235 0.19477056608303 0.0108667623333724 0.010752449890684 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187382511327012 0.194055312092421 0.01084503662835 0.0107519832661211 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187325995739115 0.193276968069436 0.0106781453785432 0.0108630038236426 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187749350247723 0.193805327197878 0.0109275169283306 0.0108749296098482 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185723112049903 0.194136184523621 0.0109821404864049 0.0111357770075172 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186360274783474 0.192946608621865 0.0108426324520294 0.0107505175349647 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187859058717286 0.196372959069492 0.0108528047692057 0.0109246753693262 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188803441709915 0.196429097479156 0.0117318277162278 0.0111011560765628 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194040438252908 0.200937878870426 0.0182111504961836 0.0162812598162479 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20180690461042 0.213380337914515 0.0301879497383855 0.0284315570055062 NURBSSource NURBSSource 27 276 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282214856906991 0.302055417993709 0.0122870045800929 0.0129063702272183 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282067185781981 0.301451725871798 0.0123311938566715 0.0130931059716266 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282919756572007 0.302608667606622 0.0124502084562217 0.0132385830312944 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.283164983902889 0.302305234378698 0.0127407597424688 0.0134641507474328 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278643491787058 0.29889914012705 0.0150817751884786 0.015759333888921 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280105264771966 0.298556348277268 0.0176625706056589 0.0176126739713937 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.283648006747553 0.303194079423097 0.0124785638022804 0.0123463869272109 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.281110811204271 0.301116629737779 0.0128351327407623 0.0128740919056354 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.277567671923356 0.298368904446205 0.0145050669964667 0.0137033657726974 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.279577572796655 0.301738393309244 0.031842117658809 0.0307665305505269 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.29638586236918 0.31595062511222 0.0555760138118092 0.0550800089623576 NURBSSource NURBSSource 27 277 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209664522931323 0.214844547147311 0.00703608657649985 0.0293447362774311 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210195459156898 0.215398428377695 0.00698811359285927 0.0298048442139917 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208998197627617 0.214730613870009 0.00699335875978865 0.0301351189092274 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208408273736848 0.214002697619418 0.00698672993894307 0.0301603764381283 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209201504737551 0.214829016074744 0.00698543074425631 0.0316560858198642 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20584522209792 0.21487334116299 0.00815609020106009 0.0360428739980227 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20746110752312 0.214062565198683 0.00708263222639334 0.0297941669324561 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206422297109736 0.214447721711775 0.0073876111243105 0.0312144613787727 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203992471248934 0.213421475866309 0.0079421592750527 0.0320888281867425 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205486974577754 0.22028330539589 0.0127493658730791 0.0444252769998643 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212763992979107 0.227937174602661 0.0227911262910914 0.0559231099952567 NURBSSource NURBSSource 27 278 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188102269321342 0.210393871778454 0.0113253858074628 0.0586048707554263 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188708573315458 0.210321666385243 0.0113172817487247 0.0579377458021034 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188855483727961 0.210763748300702 0.0114711075283311 0.0584924470880347 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190128879484908 0.210991505314012 0.0111806208226901 0.0578116242778979 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192994323514549 0.211987597623401 0.0114799225650733 0.0584542452266223 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192527641356671 0.212993534251736 0.0121761364260518 0.0630660177388471 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188994057639454 0.208903201974321 0.0113474589708799 0.0558534021536864 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191313320576211 0.210283655364167 0.0111981190242964 0.0565112371221408 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190253809726327 0.210386383601733 0.0112021285957893 0.0527176605790457 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197867339989902 0.222333560326632 0.0169191181589774 0.0570458080037055 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206251768194788 0.235606039941315 0.0280684078450481 0.0697778652721034 NURBSSource NURBSSource 27 279 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257855843823486 0.290047528928526 0.0120211708908976 0.0136910032074705 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258528327911595 0.290614969706951 0.0121544834996675 0.0137333375395083 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258845558702424 0.290480045502143 0.0120429543863319 0.0136751723150933 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256691616743758 0.288960163040078 0.0119355768255253 0.0134566654874051 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255206830268725 0.287484530408475 0.0133866638680566 0.0147935800029279 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253965215046167 0.286994849307612 0.0147956158548566 0.0163765521737842 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258560856540548 0.290469803498081 0.0124399579541985 0.0138556234981824 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258548731624629 0.291112212058637 0.0124402132740146 0.0136827739869674 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253577349211973 0.287638052192196 0.0128174550302424 0.014879248246303 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253527655124121 0.288069776903792 0.022354973971743 0.024116648391955 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.260904949359823 0.300625375666353 0.0414967565500302 0.0443722864072595 NURBSSource NURBSSource 28 280 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.271409737211339 0.262047292659217 0.0786444974035911 0.0318636255172528 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.271752270213219 0.262083590448239 0.0786360634470178 0.031902198111101 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272295976477879 0.263198111277896 0.0786446057522649 0.0323110537692045 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.27280052876243 0.26290718791487 0.0783609499450082 0.0319881562153512 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.27092630654978 0.26226047431508 0.0772677712876717 0.0329769958271257 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.268828270728125 0.261119185303035 0.0795564597178804 0.0347009645667338 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.271429879800162 0.262417558250675 0.0787769667283915 0.0318864960893461 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.270807829847142 0.262894435789319 0.0778922697175393 0.0317305250978918 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.270433655591839 0.264479178454458 0.0772029414026504 0.0315516828576234 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.281263841390643 0.274928356751321 0.0911474695009807 0.0400773850950593 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.298119275278376 0.296348813186516 0.108017376002465 0.0589651525180778 NURBSSource NURBSSource 28 281 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193235474323272 0.198605676907944 0.0117363338374934 0.0115642327764797 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192966268342539 0.197488463643251 0.011978425139795 0.0115342202026482 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19168629285258 0.19666011784708 0.0120145282295682 0.0114922016203143 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191697179580952 0.196805182985128 0.0120088749373043 0.0115241214508188 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192126939648514 0.198118130913334 0.0113089765217289 0.0116555400944859 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192977503459037 0.200408176782921 0.0130687202135981 0.0137314969131723 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191698472117562 0.197704182570284 0.0119643606846354 0.0119576125259246 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194628564801277 0.198297767964911 0.0124630663151045 0.011963736545871 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197472678654254 0.199706443001178 0.0131123078775523 0.0130422051518095 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201178276419456 0.205831686749698 0.0198305843547736 0.0199951948249091 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20957804805835 0.216597112584332 0.0333358354437091 0.0339630622771106 NURBSSource NURBSSource 28 282 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229030664971754 0.273875050310096 0.0118681658141926 0.112997049952871 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229693215555128 0.274092653588002 0.0116861157053313 0.111754066060403 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229193429818544 0.274790035418217 0.0117313492827898 0.113255781651963 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229124904795571 0.271508955876707 0.0117836170240288 0.109404619047166 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229485012270211 0.271569121374913 0.0127790760830262 0.113467716514948 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232348859735713 0.270805354406973 0.0148868400232408 0.111947059318888 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228543322708413 0.274032958293004 0.011412176450264 0.113096699712415 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232867803004279 0.273893841880954 0.0119281971630193 0.110352275725075 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230797538741197 0.277938374975423 0.0126069844699571 0.119082586093979 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.236272183310266 0.283432500872165 0.0188741194237235 0.127760076595738 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246603558039337 0.29640134068439 0.0339410243414035 0.151577289020003 NURBSSource NURBSSource 28 283 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155126167949651 0.190617074811852 0.0095154596647649 0.0183034254504944 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154527539528001 0.19025038006247 0.0096114410845224 0.0180672824573839 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154223105745393 0.190231054068624 0.00967125472181296 0.0180642237861673 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154542352321479 0.190777758891266 0.00973104286201593 0.0180042068022192 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.152434784074248 0.188743971010531 0.00983081409466756 0.0182233944913047 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150776996438309 0.187643957937555 0.0107830728540595 0.018835322764448 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156401581763559 0.191495832188473 0.00982302471925618 0.01778794714487 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156286234807399 0.191347753136558 0.0101089979774222 0.0176378470683124 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.152624814299273 0.187551310994248 0.0102407390582031 0.017695826410493 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155375256471292 0.190526658131487 0.0146592933635239 0.0208913133362137 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170767887412956 0.201306944288505 0.023755638624929 0.0272044096406549 NURBSSource NURBSSource 28 284 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168125478060987 0.204896814938927 0.0080938135997916 0.0177179471710038 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167735364777333 0.204566946314541 0.00804702020537126 0.0177194318938201 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169015823947097 0.20606024378453 0.00787400941298116 0.017930972067409 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16849550478855 0.206285524956764 0.00781029330014394 0.0185844148249894 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172231182207004 0.209506871839958 0.0087210701113442 0.0202300648668142 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174838473226336 0.211107192658139 0.00999719949312061 0.0201660099768811 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168772623789561 0.205142831013769 0.00795866288210765 0.017769588070896 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170296637262227 0.205969183683926 0.00833270080599847 0.0181602106348368 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170090442475293 0.206820448212988 0.00857016035445497 0.0187000557170783 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175713339618834 0.214403231762409 0.0140897033193994 0.0233958063642017 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194381357786518 0.230868759495203 0.0254994537169619 0.0341791869861989 NURBSSource NURBSSource 28 285 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182476409611528 0.191234785432921 0.00815890717272339 0.00918573544440858 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182545846609983 0.19116635022133 0.00813249319323459 0.00913852110681515 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183664692029504 0.191901374271085 0.00822889284206797 0.00899152627702671 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18485373121821 0.192959833987688 0.00845806418874777 0.00938599886609586 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183927558869889 0.191651520367629 0.00889752319306035 0.00972344551193991 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184925392493764 0.194128492104672 0.0100554063751402 0.0107401413290072 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18280620991327 0.192021389729218 0.00815480964399707 0.00940403282609372 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183211589021262 0.19253001537153 0.00850125984337003 0.00990420215863526 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185778677817962 0.196336766743421 0.00922090607463972 0.0109009121027003 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187627684408996 0.201010382896266 0.01563463935992 0.0164986958632352 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201710369268235 0.216949983264359 0.0281394701589499 0.027334297034344 NURBSSource NURBSSource 28 286 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278716158076305 0.303118246271813 0.0136368582314665 0.0131656653776309 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.279191652732557 0.303726159547334 0.0135028408958394 0.0132080391877385 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.279486792439757 0.303999852993116 0.0134091844061453 0.0130972649312442 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280018754904306 0.305022102706927 0.0133279485071569 0.0127746915407605 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.28130178220035 0.307791226485495 0.015078344742055 0.0140607397576775 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278096496112049 0.305468625544451 0.0174296204490399 0.0170215202233287 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.27989529025715 0.304246705427775 0.0138418608280475 0.0130237795812689 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.279850229698303 0.305220157761162 0.0138545912313978 0.0126913241517577 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.281138867396592 0.30720555818835 0.0148954304410039 0.0147917684264471 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280562047923476 0.307009319189445 0.0287905175651422 0.0278454367726737 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.303647509614522 0.329888524133481 0.0578579104427268 0.0550149027761504 NURBSSource NURBSSource 28 287 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210145812209794 0.216718043079207 0.0074668415316173 0.0285360411653884 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209646265823926 0.215736922485913 0.00743457172515551 0.028631170735404 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20954543482079 0.21670486370706 0.00738064063299528 0.0296349634143667 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211482497061253 0.219992005190711 0.00769955195186759 0.0308957893514783 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208998291061959 0.21540086883502 0.00832002472671574 0.0315753220178152 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.208698465259972 0.216249250729447 0.00927722617260598 0.0319231538958359 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211330751333993 0.21786121076907 0.00758208365551006 0.0289044664951125 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210159231564109 0.219109800245679 0.00798419668225757 0.030304252797024 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.209710028046513 0.220566802703966 0.00786663065544551 0.0336085006966613 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204417107082654 0.219967578425304 0.0129552544301341 0.0383894376724345 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218813971459431 0.237392903949482 0.025319856129128 0.0546772105259261 NURBSSource NURBSSource 28 288 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191087332552898 0.211231592386275 0.0112850213837317 0.0571456044720386 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191282586228656 0.212315700567763 0.0112605052250564 0.0580494156836905 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191059864814629 0.211652008370025 0.0113431916548211 0.0582716012089355 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191923825033905 0.212121810652043 0.0109110994502929 0.0574116125065645 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191694987006164 0.214272068666703 0.0116870481886284 0.0622898168394393 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19368565885494 0.21813336911845 0.01298101725539 0.0682983485142159 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191109656226278 0.2116612917402 0.0115694595593267 0.0581321075534258 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190374745460029 0.210615323907697 0.0115627026270165 0.057718143989784 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193647780763156 0.209064566467378 0.012715947411538 0.0545820566982282 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203349148371551 0.219389439140807 0.0230234301190499 0.0675592116781733 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206932912606568 0.22975542382628 0.035420811656696 0.0845566172832993 NURBSSource NURBSSource 28 289 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249255204314972 0.28141741682531 0.011724160679265 0.0137682090118067 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249448628895999 0.281890468426819 0.011640796845092 0.0137606881086302 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249296258653771 0.281553459916759 0.0116765070961465 0.0136600647070577 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251020087507548 0.282750218072671 0.0119666834432089 0.0140592840668605 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255683901263229 0.289677543067609 0.0129851942107834 0.0146578746380058 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254114358357515 0.289806766597266 0.0145829447978209 0.016859868172666 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250027474006179 0.282205897986373 0.0114802830287525 0.0136776215205946 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250897438695048 0.282954322687134 0.0117577628247645 0.0136936254066237 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25119578460546 0.283924248004108 0.012500400129418 0.0149085913032966 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254098383561711 0.289040540977215 0.022338007984458 0.0250877898683784 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.263041081621503 0.297660374546829 0.0443683475057406 0.0456279915099063 NURBSSource NURBSSource 29 290 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239641401698141 0.260876768095256 0.0855925550297131 0.0808862178348384 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.240017273448927 0.262102820490815 0.0857927860583739 0.0806953796589274 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239290939635601 0.260439761394931 0.0851338934579092 0.0795411300959354 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.237656963896943 0.260112624981235 0.0777704139228118 0.0746541847829525 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.235051056987584 0.258450690345853 0.0731871192480354 0.0729797578586105 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.238033228383062 0.256433485710997 0.075570030167847 0.0696725984235549 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239880502443214 0.259743630171886 0.0865934301103994 0.0789364674773403 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239049554314322 0.260763637565891 0.0814777628078907 0.0795936214286363 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.239828146460523 0.26174542730404 0.0862930267468272 0.0809696782282399 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26018570482996 0.263153919550792 0.135578290257151 0.0958742206139118 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288235328844312 0.298197128395104 0.160530135091617 0.117360083278063 NURBSSource NURBSSource 29 291 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227787447014938 0.249652941789887 0.0634373836669416 0.0889328032147852 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228126658375643 0.251156710177745 0.0635646635331087 0.0930440723062795 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229764224252878 0.252722387913319 0.0636214465453297 0.0942589633921794 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230084591911764 0.249316991612051 0.063822158975032 0.0888467980872825 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234239342439489 0.250534687880533 0.0674104862229678 0.0891713734127992 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.241429627378935 0.261861958907123 0.0816641325112564 0.108366059696947 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22546805369266 0.247013808264391 0.0606327507986022 0.0869493347958703 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.231275657157852 0.248740961614639 0.0623449104949569 0.0901537881304407 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230324932661214 0.252182038425553 0.0675782539411501 0.104918719198141 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.24595785152219 0.280607197123228 0.110856544629001 0.146530770807303 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.275596415797175 0.312279829867303 0.232099524720007 0.206599430152862 NURBSSource NURBSSource 29 292 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.231087120655848 0.256549573876655 0.0204516912973248 0.0776225984977374 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232146242434134 0.258908439958139 0.0202760248060826 0.0792653063016175 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232332617968045 0.260019317532385 0.0198595608816358 0.0777194470935021 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230261672177608 0.258102210601862 0.0192872089067547 0.0771934235127682 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229658201035764 0.256064269502899 0.0181789371307035 0.0762868579544109 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.233585710293423 0.268245572020125 0.0201368286666211 0.0837654493789509 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232154849580112 0.259221546820177 0.020849972461368 0.0771660942443585 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230409019565243 0.256541101164846 0.0207567083930571 0.074511622443543 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226601214292579 0.260181823266369 0.0190932089256802 0.073141472766287 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.233243893752664 0.281471990893965 0.0337564841870946 0.103309251780185 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.244022626026692 0.309483401300237 0.0499451583660129 0.16503594887184 NURBSSource NURBSSource 29 293 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174974767236974 0.202354606820896 0.049064951348697 0.0368053766873333 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175130327119389 0.201952662940291 0.0505284980618447 0.0373216752731431 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174560901480554 0.202521932629665 0.0501013694092263 0.0385430090171349 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174154927262657 0.204476275686741 0.0476846531844477 0.0405838145074158 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176214919809484 0.209938139255188 0.0494475317895472 0.0492456601552216 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175793410478001 0.214851730462954 0.0473261599427514 0.0568838509470071 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173434870713829 0.199982544009063 0.0481151041393743 0.0348989587459785 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171366595210687 0.196300310054924 0.0469331028221504 0.0320114741119789 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172571657821781 0.195296686187783 0.0446958778604685 0.0315921358917869 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17466453026576 0.201390414429386 0.0463946016804504 0.0366834035693536 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183061855563109 0.207041861618085 0.0518028608687363 0.0444313641125843 NURBSSource NURBSSource 29 294 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19002447779362 0.215426204861396 0.0490434043379818 0.0348148214682495 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190364041091473 0.216573246319335 0.0483976274387649 0.0351396204352601 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190125070178927 0.215812073777013 0.0476576155553708 0.0353822157248974 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189995413128026 0.215512850538773 0.0490515227429635 0.0350429548078666 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190397196406297 0.215435418817106 0.0480161337133198 0.0341272158307996 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.193656915832268 0.219636535703983 0.0499789511231877 0.0353949971259961 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192603678162594 0.219392991291401 0.047418789130555 0.0382459700061613 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192288340013171 0.21938844431041 0.0479898031385299 0.0401989923133056 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191830614871469 0.220255465266017 0.0462630190963976 0.0409853055143335 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20317290310695 0.22354426296147 0.0589523599362468 0.0465312230071723 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212109015051095 0.236430247845866 0.070605960475144 0.0701726968644146 NURBSSource NURBSSource 29 295 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200268131464873 0.215209810517066 0.0424249077990876 0.041876481834425 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199473590041929 0.21590802415387 0.0411443799508277 0.0419706822241249 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197342540906337 0.214372745718646 0.0401420568684406 0.041693227617133 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199040056551961 0.215050007306703 0.0423234441647451 0.042084358962884 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19540753058635 0.216033758375091 0.0380909876560521 0.0451363202924174 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19670395828884 0.219102002589123 0.0391589174700916 0.0478470214888473 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202898194328793 0.215798950081748 0.0495815411605685 0.0410724137257087 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205459443496628 0.21822120851821 0.0503361209896636 0.0400663075623388 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200697431620546 0.215665799769293 0.049624639105302 0.0396890016875857 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206550250291658 0.226146945094069 0.0689801720481455 0.0541600423152558 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.228282556860034 0.244795118404133 0.0965846665881726 0.0715998354318599 NURBSSource NURBSSource 29 296 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.277959053380667 0.312229415288509 0.0468255119469888 0.0612470377911139 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278321711660992 0.314583363954275 0.0474098213759027 0.0636366033593226 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.276988665122637 0.315063609028009 0.0469480660595318 0.0654098777865826 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278384450973191 0.318146580874651 0.0471793851764087 0.0678163985317302 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.279957802407172 0.322387215853244 0.0530777823133871 0.0837072773865067 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278776074042824 0.325864536826696 0.0588828027695703 0.0958366805750764 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.277122676815896 0.314624659311267 0.0498243504748612 0.0715528365774903 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.278240026234158 0.318335909404341 0.0553195106365857 0.0812221309155688 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.280612053960656 0.326710731342424 0.0610454608099119 0.102004796262212 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.300731569366412 0.345606978839158 0.111706006486914 0.144252784354599 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.332217553961895 0.38895572015824 0.182819658430895 0.270044346887571 NURBSSource NURBSSource 29 297 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.214613014557377 0.265329457414203 0.0128072428270267 0.0489161925932087 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.216388764524712 0.26804826523341 0.0128586274053985 0.0500841169167339 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.215686390692297 0.268038822154364 0.0129832505803887 0.0502303329636722 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21609283616302 0.269050173078549 0.0134726386143368 0.050390428042349 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212918256367839 0.264562364008401 0.0144377115055475 0.0536249717344034 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213127361163151 0.262631790087966 0.0190154104989569 0.0660715415427588 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21308135222144 0.265823778396464 0.0138394636962025 0.0534246309127675 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.213177725555899 0.268269874847129 0.0149620785589772 0.0578938526857161 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.210141165334911 0.266133708049693 0.0154610806827243 0.0585294555130527 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204875788687494 0.255448943303007 0.0270731331203288 0.0710978677680041 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229646520773262 0.270795271147052 0.0544445915422539 0.102498889110905 NURBSSource NURBSSource 29 298 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229199321021952 0.23539615961125 0.0344724153888686 0.0709035648721003 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227654629394943 0.235162944490224 0.0345346184278683 0.0700454325803986 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226020220609931 0.233055184560539 0.0360770001447274 0.0674557932671822 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224561799003479 0.237038890634374 0.0358075048959138 0.0679698277408234 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.215810251004213 0.240358986832815 0.0370395267794982 0.0815141921370859 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21274811448057 0.252562888981757 0.0362114723106177 0.105102458527287 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225216230009694 0.229500267733869 0.0351488717515501 0.0690611194915517 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222405234058192 0.227211258453641 0.0356248716384329 0.0701984789415039 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223825772372543 0.228745834470455 0.0386972463228797 0.070132147540055 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227087258154263 0.258524119349771 0.0667667229632869 0.12917738830123 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247724056432208 0.304695984506258 0.0996833176696191 0.236131502626731 NURBSSource NURBSSource 29 299 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253074959899678 0.324791362657816 0.0182030722623064 0.0596420718084124 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254036564154116 0.32704696955975 0.0177090778899303 0.0612836731268649 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253424737422334 0.326740371182628 0.0174619159720776 0.0622509337381266 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253018130349963 0.326798433636019 0.0174765133190019 0.0628987749707327 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255317687640801 0.334927368785134 0.0201597083953039 0.0724782847992768 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258932536820493 0.341109636289322 0.0226665789661701 0.0761283055294984 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254179838779572 0.324670390136959 0.0182863914543556 0.061460854556146 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254360660680011 0.325422072283914 0.017360357888543 0.0617548750892475 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254511049331294 0.325350820264042 0.0184533049337269 0.0664708434809472 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.254136700248696 0.327402762683561 0.0364662983774215 0.0805517894701762 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.283195457084787 0.349647245113558 0.0913868532200284 0.109966622111571 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246389248503926 0.197388244335013 0.118978900188458 0.246139394406774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246290180677497 0.197515413014323 0.11900529397089 0.246355884319124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246544839772101 0.197476667959424 0.119187468351543 0.246200119470247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247592645123411 0.197872644758293 0.119272619786584 0.246681582946078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248705662332881 0.199102513404623 0.11959508840096 0.248037177773399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250132436235955 0.20122609536079 0.12003124179952 0.250689636721048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.2466771577603 0.197965678655977 0.119006956019677 0.247096238181125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.246752870048917 0.199057640812494 0.118936265283036 0.248700575399446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247745088729588 0.20084500600504 0.119354759797568 0.251007723325634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253587381716716 0.209741366743545 0.121320839139053 0.260695212567986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261398353309113 0.222929499144453 0.125486530319568 0.276046857346265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.765566300612149 0.734924332286707 1.17628321053455 2.49632078671265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.765325879283089 0.735050468659838 1.17620508987646 2.49723423683118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.76496560878098 0.735320610947761 1.17634013729961 2.49935062150785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.765509891094966 0.735326669894134 1.17675399990552 2.49934120150039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.766482914536043 0.736800697563424 1.17787234892461 2.50944931902466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.766352733211663 0.737774172063873 1.18130900349928 2.51808847803347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.766142820441334 0.73522814431145 1.17795820682053 2.49792038325796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.766445706091152 0.736097178232647 1.17820660960368 2.50287752770643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.766894208992783 0.736653186392324 1.18051704761929 2.50881697204137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.770110169983136 0.739603846448774 1.19003670375235 2.53307009382799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.776257564722239 0.742963200254928 1.20136267777709 2.5502305463017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174653982129067 0.190052718858108 0.146991734450031 0.171544429481382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174876201584373 0.190446199252372 0.147084571679463 0.171922904484997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175393652353352 0.190912874687714 0.147310762476228 0.171968236849936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175204778528221 0.191062157298106 0.147328126676102 0.172249861429115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176612401812712 0.191630522943626 0.14855757206477 0.172794976226716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178690089472927 0.193508400559437 0.150283787973233 0.174748952334501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174708595187626 0.190559817683696 0.147060424163792 0.172091465433306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175645814426244 0.190996236269539 0.14779862464332 0.173360990868469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177691454644532 0.191439297888277 0.149238237486647 0.173818934811451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188796576692796 0.197228415520301 0.155803494026053 0.178087261370699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20228287640653 0.208359875122639 0.164369935378199 0.187508263626299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160044144930614 0.148816460321285 0.13325692942437 0.131551214742414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160156200202037 0.148963157312952 0.133450290507686 0.131548940453428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160273153014955 0.14882918586244 0.133505921045253 0.131562956679821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160801258686968 0.148954787331317 0.133823030774667 0.131925034014652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16260442642751 0.150563383504793 0.134931582257303 0.13292931227927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165238586597914 0.152810052207835 0.136339951563602 0.134229303784576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160178008654733 0.14885325834577 0.133613537872584 0.131843239910844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160518062285211 0.148868584385101 0.13427893766354 0.13231986986985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162864703444098 0.151031547465269 0.134984897545943 0.133131304508338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174171527965202 0.161470276668924 0.140823918384109 0.140667445198198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191215219864815 0.176636483480264 0.150653618107681 0.151544165973866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249422971488903 0.215667966893906 0.0954873875631876 0.209102478753495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249195956325688 0.215779235868339 0.0954132480944321 0.209240456456688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249469793062626 0.216014210691452 0.0953931682381001 0.209468772456396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249869671817884 0.216862573989891 0.0955484397360069 0.210472281500318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250756946457357 0.218377423229077 0.0966293349607121 0.21323252257008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.25208704159594 0.219973460401574 0.0972675744143352 0.215997945154361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.249588390427236 0.216193273691262 0.0952944602103294 0.209866849059212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.250177596277691 0.216375243208336 0.0950801749745055 0.21016010947635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.251210447770144 0.217337609689794 0.0959534458260412 0.211019459296958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.258293174453839 0.224017080103452 0.10151781313223 0.21940635046724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.269165631923215 0.235047370719471 0.108666949634385 0.233355957745858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.346010817866831 0.366021439556557 0.454957158640573 0.534799338073591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.346298627334136 0.366013353916327 0.455506963583215 0.535470726246298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.346328314342076 0.36594685689088 0.455851178094649 0.535699108852473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.346816389940988 0.36626577707862 0.455517214887097 0.535532148996698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34815087145041 0.366950409487832 0.458271141906725 0.535675416451787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.350878881144884 0.368671990223025 0.461227943666723 0.538233866104527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.346553200858829 0.366476339527004 0.456446399564514 0.535780868909209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34721664619854 0.36640440039877 0.457505713775231 0.536691596815646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.349397757869526 0.368451377015197 0.458903934669527 0.537116262050322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.357716896139473 0.373084147933198 0.471184224381479 0.546511121078654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.36807577789631 0.380321916368252 0.484747090977892 0.55901232264209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225917261909161 0.178583391574999 0.0742183379286185 0.185315374263672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226165994630753 0.178422259786159 0.0742454759491096 0.185006556586052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226207278832953 0.17842131534861 0.0742226750042792 0.185045576626635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226173313202997 0.178757168316631 0.0742255597716768 0.185230846992011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226955912234608 0.180783945772813 0.0746235453723342 0.187577114525572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227876646371798 0.182288757873257 0.0749801454233927 0.188400347431152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226218798906605 0.178733250710393 0.0743945541880195 0.185348103170913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226280029209062 0.179239579870305 0.0744186768549146 0.185990839012695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227348937366327 0.180399324614646 0.0745535333186705 0.187412587792267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.234107608248157 0.190144961535673 0.0780217735715126 0.197946158577439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243434784258667 0.204902227613561 0.0827813865864433 0.214406346982431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.546003525103963 0.551349148440553 1.33670878305405 1.11311522288017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.545965872363795 0.551340766774329 1.33652308674167 1.11328967894276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.545891003585296 0.551193568921786 1.33636455882836 1.1134841289153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.546085329031939 0.550966627136342 1.33710054913859 1.11404526379284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.546313296546933 0.551696313521361 1.33628193975734 1.11654294776682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.546635128089275 0.552985164584284 1.33714882293214 1.12121528327278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.546332146553537 0.550981312384913 1.33743920824032 1.11350786533313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.545720244100083 0.551261756280583 1.33084469130874 1.11136420892909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.546580324716935 0.551277229546686 1.33385573958741 1.11337280297526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.549817224878221 0.55204947885084 1.34093453101013 1.12244930061403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.554624911317434 0.55357609654447 1.35099633005792 1.12807806566449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201605254872866 0.171919424735679 0.0781678679850714 0.168827820426964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201468923118559 0.171976190326706 0.0781189886787942 0.16901508017531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201576524749954 0.171954636027671 0.078186502498518 0.168825644131411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201744608540614 0.171875783770411 0.0782793599287542 0.168875915990397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202590684064919 0.173425399974635 0.0786206336247447 0.170513173688272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204560913285396 0.176386993988488 0.078997369006434 0.173356816872211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.201315094349231 0.17191743592006 0.0782190868280278 0.169130225807226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202094903118928 0.172347872237319 0.07829201141336 0.169430848297501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202602513684565 0.173747989092069 0.0786564849990278 0.171263610933569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211443597459882 0.185943838699742 0.0818558983517343 0.183812663040736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225340096075096 0.202841581781541 0.0876563432339539 0.201213468801504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164565934421689 0.112631492690936 0.0227052874974274 0.0640014435041704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164709985708251 0.112392216792649 0.0226965979893745 0.0637651563195924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16457030335027 0.112354715713761 0.0227459800623009 0.0637068612209117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164759291739255 0.112606288821195 0.0227739963753059 0.0638237026019586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164910819901371 0.11384611418431 0.023099987102943 0.06450055373556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165012820749427 0.11636455876928 0.0236084491155686 0.0660791060834668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164190005022142 0.112817776857496 0.0227320169233756 0.0640089640761807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164703996419205 0.112882524415208 0.0228041286878434 0.0639963584614481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164760899950616 0.11416071454732 0.0231475098383542 0.0648662284557407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168783119953679 0.12500476176398 0.0260881978520279 0.0717138616668236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17798697438062 0.1418996489521 0.0313186091744757 0.0848378951287338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1607202878596 0.115979389061048 0.046149076118573 0.0738715189965354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160667881504951 0.115904723556424 0.0461003528930197 0.0738418569687475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160371703310028 0.115748686597504 0.0461914902293919 0.0737811005156306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160573041141088 0.115914055829334 0.0462541250697008 0.073988942299789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16111372098662 0.116690417580659 0.0464228805558306 0.0748124265330534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162127821288919 0.118183467489702 0.0471027626402618 0.0758040501533113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161013259147572 0.116282682211275 0.0461772679990402 0.0742536173639782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161314172753279 0.116802401145803 0.0464900253492529 0.0746282708648112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162781817747388 0.117589336389626 0.0464123282517114 0.0747413577601514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170561138848706 0.12699442545739 0.0489183081067006 0.0799385180697924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178013041049933 0.138907856389588 0.0525712433270358 0.0879684341232364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.610384674511315 0.581313584853466 0.843288154244406 1.65166331977004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.610592602410657 0.581111543420848 0.843179851448681 1.65099027493736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.61040178498438 0.581527358784314 0.842696155964205 1.65279637987465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.610015205039916 0.58134062928012 0.842453776704741 1.65273358919945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.610303048627086 0.581616420431807 0.842812425944109 1.65289036770604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.61118196147673 0.58341115013442 0.842751119359251 1.65793981402847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.611087915878979 0.582288839195747 0.84395662879226 1.6550437188241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.610657291358383 0.582220414443843 0.842800901697351 1.65592150728774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.610691379312255 0.581928422069103 0.842240691939542 1.6552391916387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.614636611709395 0.583597499383181 0.848787743798061 1.65841201667656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.618078159327576 0.585827362899189 0.855507325645014 1.6705758795788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202171575560399 0.202473893937938 0.193286851929944 0.233724475584549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202529137605513 0.202868957177607 0.193486367532699 0.233842263654147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202358823186101 0.203093101601725 0.193446184293283 0.233955300821865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202609890052892 0.203249790835175 0.193383619361373 0.234481139459836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203795136485803 0.204381649194003 0.193511469432566 0.234372325398377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.206291588226745 0.205351116509678 0.194412117980238 0.234789593322007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.20269150226138 0.203067495698423 0.19480176762667 0.234397829236041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203270139565074 0.204047763360926 0.195115385001411 0.23505062311958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204668456973244 0.204753542825811 0.195092046536021 0.236524290937286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.211951904715811 0.209830690987218 0.198899551435939 0.241282487636475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222993507520181 0.218861206404897 0.204695105020529 0.250687780192687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101379027180783 0.113646881150067 0.0365140646407857 0.0405793606434832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101665384354989 0.113824189891094 0.0365867410550934 0.0405918939662106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101830101237211 0.114111252908145 0.0365713141086634 0.0405054504072952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101949869320408 0.113658770315891 0.0368860364581359 0.0405772366581969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.103358902754415 0.113847235699928 0.0373919853056224 0.0411783338497571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104246528856916 0.114039718620544 0.0381052059021699 0.0417641290262966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102727080543058 0.114699841759406 0.0369089952639842 0.0410112769870212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.103043141267879 0.114265128606975 0.0373317952674559 0.0414079351911946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.104893997676538 0.115580224661531 0.0376224687589513 0.0418036282727058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.110595472636194 0.120834543252126 0.0403067215962067 0.0453290218070683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121878658677085 0.130785002571138 0.0452484098110513 0.0500697886571157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155251628584594 0.133789781592185 0.0377272046378056 0.0632064415969432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155355878925399 0.133788743184007 0.0377902167870096 0.0633010828201142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155576394532714 0.133640918740626 0.0377776471402268 0.063235999794271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156105603809568 0.134864861451535 0.037812256505795 0.0639313864165469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155968947947311 0.135338277569488 0.037748070622517 0.0651592498159896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158441017593691 0.136821378529796 0.0385380003358809 0.065896428920241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155589425164158 0.13440655705627 0.0380542030344073 0.0639403573911599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156089022925054 0.134911045359186 0.0382463129674981 0.0646064519446264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1571379606574 0.134908417490401 0.0383711182830439 0.0647838677089687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164372604297215 0.138897872846226 0.0411312049696566 0.0684825487840667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173496974523443 0.148331050126317 0.0458034724746355 0.075732618055548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261625852545444 0.282977971608426 0.246335860951558 0.280518823032957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.260981360071075 0.282945995917099 0.245834156555087 0.280704906459989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261055262585812 0.28230469236166 0.246107428397569 0.280671210691905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261644331424424 0.282526616418095 0.246388118548941 0.280637974562485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26286969721757 0.283016853608609 0.247373924669949 0.281848990995692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26531133438968 0.28478302000644 0.250107471064475 0.285405240266524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261305877213605 0.282689156557102 0.246772213955408 0.281880592857873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261357646835811 0.283364756233949 0.247156833101295 0.281473303348202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262588374333901 0.283661881694642 0.249604906208067 0.283315375126048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.268016393749149 0.286791667795278 0.255287976248757 0.288809343981781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.276047447311549 0.295282483070342 0.263155228945785 0.300987751889767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133598513131868 0.0956038812857209 0.020703683362233 0.0343973750379372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133732384893972 0.095913231805708 0.0207834787856685 0.0344435574279678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133691521107463 0.0961288907812281 0.0208206726534477 0.0345407262997756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133760778480385 0.0961449829776689 0.0208098335859944 0.0345256532029722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.134982728460572 0.0974243456305965 0.0210279856175144 0.0351438413539932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.137070001127771 0.0987320298139529 0.0213687646085725 0.0355997577481159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133769110809643 0.0955322058809205 0.0205627818270322 0.0343874283193712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.133321676211328 0.0955514499135317 0.0206174353938866 0.0345627219395494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.134716659706128 0.0967836825831413 0.0210775422874313 0.034866694869165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.13997558492053 0.104330832776588 0.0231153099609839 0.0388940798500652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.149585774379047 0.116730391737054 0.0278252041006695 0.0458733917932538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338685898595673 0.389085163246862 0.616968507398127 0.508532139714656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338843382785044 0.389128574684567 0.617380525168475 0.509264691959487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338925074543174 0.389301250310883 0.617603730282759 0.509517950877574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338863370541094 0.389400378739143 0.617470377966402 0.509178380200172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.339391770929878 0.389682398498199 0.618524766688838 0.510198782337366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34075795291286 0.390940536081055 0.620233705599641 0.511336539364795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338961749914806 0.389172633331667 0.617619253968506 0.509415887075446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.338938976419851 0.389324284399609 0.616882226793838 0.509082897361281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.339887460602148 0.389921993063217 0.618659314550999 0.510385653122352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.34870915352367 0.391333862060408 0.636259868823575 0.515522275363967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.355011381103021 0.39359394449665 0.647506771037217 0.523206007168993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140289245095015 0.11809371784684 0.0295654426363184 0.0483087728917887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140208134096957 0.1182388593964 0.0295772441923377 0.0483905860998779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140477036407559 0.118458724044356 0.029684202167343 0.0485304169389694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140398280894994 0.118597812551376 0.0296893225856241 0.0485987138715489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140745588024261 0.119915873865513 0.0299984396834847 0.0495200333646432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.141795527482294 0.121275044748046 0.0306293222511436 0.0506775743084722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140164862969988 0.118023196966619 0.0294632399723404 0.0482430911453807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140387797089314 0.118406252409253 0.0295882375878624 0.0483782376361686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140518463063456 0.11952941194887 0.0299194083630385 0.0491852179647856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145439945126255 0.127346981210903 0.0330330822646495 0.0547765894954923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.156354131408679 0.135925880344133 0.0373354678889535 0.0593278301299523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117914498047799 0.0641764598114444 0.00763619908186327 0.0133640986314683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117806555974016 0.0642411291245281 0.00766127377363479 0.0134156454367374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117684259150321 0.064395700774061 0.00767600742667755 0.0134325842861315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117674363580683 0.064434181016991 0.00766565403364082 0.0134577652240511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.118267808171503 0.0653756000580267 0.00781846237170674 0.0137277947537015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.118912667261095 0.0665409306034991 0.00812851028957227 0.0142503686185088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117955922981521 0.0639597213723776 0.00760200796784671 0.0133452519509913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.118153484567745 0.0641717658534037 0.00766613095218653 0.0134432754632448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.118754625454763 0.0655767491215124 0.00784988138936598 0.0139515587223037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.120007524528149 0.0731945780324792 0.00926869389225064 0.0170271680801966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.126397790519893 0.0866976220947701 0.0124798566733264 0.0229946620835571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155261699869932 0.147994291852759 0.00523155284561752 0.00603062786446998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155748136423583 0.149126521461607 0.00542074697264753 0.00630337184188856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154601457325918 0.148871876002266 0.00538203709296421 0.0063225067937083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154196108462165 0.148379017033998 0.00541782364672021 0.00661646074340205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.155918688122767 0.153309106794012 0.00732724227648534 0.00914053350832104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158157312713098 0.155754321528695 0.0104405617577001 0.0125924394419278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154635438691626 0.146739979123793 0.00726298632163381 0.00643937999805719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.152949498639351 0.146111732297782 0.00750250054380309 0.00690685001126563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161271815615787 0.152316607964951 0.0100894845230431 0.00873566090141672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169326599881419 0.16258012768369 0.0257017625271995 0.0180462280075535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18515723339054 0.182340590818536 0.0407488587811373 0.0346050499248432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186562410528914 0.17214516160078 0.0500172232986329 0.0273360374031548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187860381652763 0.173509820937092 0.0499930026264552 0.0274039197696395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187868124815141 0.173475243960902 0.0502640016598026 0.0274164276106321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186419031684759 0.17299296323532 0.050322691244623 0.0276419345236573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1900485076792 0.175066665154789 0.053342854010405 0.0285446461997616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196311465634289 0.180231734299071 0.0570681136752476 0.0336264058356127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.185091445381885 0.171351728886155 0.0510566882897118 0.027532049291284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182788570557942 0.170079872567771 0.0518588539761718 0.0281464383302934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184871860360802 0.172477809246873 0.0532290250457788 0.0287124143749306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.203041664245576 0.186670371779003 0.0636782191618324 0.0372173096838791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.225765251185854 0.207695646477986 0.0773252221689553 0.0500031846383267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14489277332378 0.165178104116473 0.00620930187834254 0.00462640654827523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145031702860745 0.164963775466801 0.00613345658784282 0.00463892741551013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146671894755137 0.167587951706259 0.00696736105288483 0.00581527471003614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145342158534992 0.165075987917935 0.00622701268538121 0.00454321386081982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.147556727136112 0.168920551188303 0.00812363429143077 0.00599375411644855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146223237380986 0.170555121907123 0.0102710315404848 0.00908872790124535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146091349769375 0.174310666113899 0.00648003950461386 0.0073911842773949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.143520671920234 0.172081391194598 0.00686188327473155 0.00778123244768054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145621215091409 0.174244522723432 0.00967980830756586 0.0103344748373507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154132855517569 0.172475865887252 0.0175008127658886 0.016215321089348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179637571472614 0.213485877221881 0.0348946727546704 0.0344078686626982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150308246859446 0.161585775713745 0.00428160312386779 0.00330607970748906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14852365756263 0.159797209451969 0.00429309084174374 0.00330538942690287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145126559647587 0.158273470707152 0.00470889306530518 0.0035172882180518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144767154904572 0.158439973935802 0.00483924791153398 0.00367218312589787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.143535633573964 0.157691551806346 0.00933757320860914 0.00608029940706782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.141572632387853 0.15567080562451 0.011543309523555 0.00795370905887359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146017543516211 0.156705158903932 0.00448349090096102 0.00345159145836188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144524551010902 0.15591529752159 0.00481059102265886 0.00377885454174684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145142770325093 0.157191655218203 0.00758597825689543 0.0060741393398263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.149278397886566 0.170869692068672 0.0150242013424998 0.015333022324246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167377342272917 0.189552207463696 0.0337677971060508 0.0272210434743193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169764908540519 0.170519184436703 0.00602535371163002 0.00642087902177393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169294272361959 0.170574210412012 0.00599140039750284 0.00629131974714639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168143922977162 0.169678891914761 0.00610546915342623 0.006573737027639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169645722864774 0.170556444552684 0.00659188064807658 0.00694564550311751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17406682434837 0.178050288077055 0.00856228315550545 0.0092999248269821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177704664120073 0.183773218019372 0.011248243773756 0.0130604677242933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173265091150888 0.1738423728298 0.00730311308020326 0.00764392321601861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.173675512187339 0.174737444322756 0.00812553763415714 0.00836574345810003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172432095473333 0.172532864582666 0.0111392397523501 0.0100051667326786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188351185924821 0.185908545722701 0.0234299928792704 0.019037034851735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.205495417329474 0.205476225058915 0.0439199562362853 0.0354550595390342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166231957410582 0.187613757460045 0.00876854492692949 0.00988734371845367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164823903660919 0.188777169926711 0.00907253558450784 0.0107122353916222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1671749450958 0.189332860910952 0.0102175150306968 0.0108653256081835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164746459005904 0.187118165516245 0.0101012445941123 0.0108607011406738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162984506903522 0.190677131944621 0.0144695971654826 0.0138844311620606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167419084192084 0.198302812922199 0.0180125616739086 0.0178773540802805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163182692787674 0.18539323693558 0.00940151008491835 0.00992998544532556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161092197999719 0.182705512307435 0.0117904007915422 0.0117196499396492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.158566254511289 0.186546503930923 0.0133786632770689 0.0144439776596363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171050308672738 0.201096858928872 0.0287586617409111 0.0262008842645827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.198757170607233 0.231652663453725 0.0504214392642338 0.0450106981144343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179503901722689 0.179302855413065 0.00688775263710197 0.00658211923470902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177936904380001 0.178101465304191 0.00695745389257863 0.00665272613211146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177182408322805 0.177847754607626 0.00694793144381345 0.00664840901867772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178007275793168 0.17799494628677 0.00705880607595692 0.00682700776346615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176167930213442 0.177190648150085 0.00792742494051881 0.00807053293339098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175279360963992 0.180619499925895 0.0107967112474054 0.0110150546227298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177652469178994 0.178016845246322 0.00708031567670486 0.00672246593960016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177861363689076 0.179505336645611 0.00756331076602254 0.00725651017540545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.177728136004079 0.181112815524093 0.0113008681318908 0.0108880858237006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.187057914160185 0.189865389445451 0.020375555998215 0.0197347666853907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218926612954581 0.223272763015761 0.045764158273639 0.0408619318601766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169818871106747 0.193937728175543 0.0450836953958969 0.0419937689642527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169882254116829 0.194133549230798 0.045368239552505 0.0421704867290637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170168379119459 0.19481503315758 0.0452069627348264 0.0421653404334042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16969013170568 0.195457021199604 0.0455627954394211 0.0422595417411791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16988532703948 0.19613495391868 0.0457845474775995 0.0431112081201152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171147543754928 0.197670286509943 0.0467328045105689 0.0446368930107611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169682744801111 0.193995827515534 0.0450750253524313 0.0421464392523664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169335464462588 0.194994795994959 0.0452020776818768 0.0424895558982409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168744398017146 0.193839873344917 0.0464874829637485 0.043312813847829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183234812930274 0.204117098350751 0.0614029348002479 0.0545925501799402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.199025870269849 0.212479105512427 0.0744222755367444 0.0616407072644157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167429807979671 0.169205667192674 0.0128965346414884 0.0104558902657229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168645855584521 0.170234098037532 0.0131601502124205 0.0105755902947988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168071887016943 0.169834440983306 0.0130849769271755 0.010588195379416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167188981862365 0.169577985030063 0.0132768886513889 0.0108720608425307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167848343874207 0.171580516479674 0.0150571947466787 0.0122425395838062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170775749246468 0.176472951115113 0.0197797792561139 0.0166235881615612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168490742312784 0.169661655546118 0.0134033114152287 0.0106714364782049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170837508981229 0.172170411469058 0.0136375999608557 0.0107831739908892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170131727731611 0.173716750211281 0.0154909836333629 0.011497463519854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179687636137251 0.185718960473914 0.025377906678442 0.0222127243437879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.197540468720273 0.199292337901432 0.0473882636365745 0.0366725546383302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168711606157336 0.174450437770786 0.00950422107764608 0.00922636457561972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169547945843191 0.175105715159982 0.00987666009013204 0.00942458586658932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169314026705887 0.175068197847269 0.0099573667401791 0.00938114068090919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169799473753715 0.175872451037636 0.0101261643709306 0.00985417218090728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169714268922426 0.176026963280324 0.0109406944011477 0.0109968911410722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171764538142247 0.178116389277977 0.012590857374154 0.0121834191367426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170382066910031 0.176136055504654 0.0101551842744478 0.0100115147346179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171829724568928 0.17778064931326 0.0105375432890167 0.010701212088828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172309793553895 0.178748864128647 0.0117945007281206 0.0125303774964644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.172888389403681 0.183062146726441 0.019097689448896 0.0205879279797948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188557329422994 0.199577631739644 0.0342052974402537 0.0340208377891427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162329126715656 0.127811749044431 0.0447670819252207 0.0787245901405159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162284932502639 0.128012167276429 0.0448560279628982 0.0786007737100026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161782363848552 0.128303530364539 0.0448440356248936 0.0790624208664658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162070492006489 0.128660831105664 0.0450064763353808 0.0793173957214424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164479436308216 0.132440173911114 0.046619589170977 0.0817926467451354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169474617801209 0.140053796143631 0.0496178055434216 0.0869296721499637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162706462147775 0.128709810166008 0.0451287413202582 0.0793465408598609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163759757146335 0.129987628976916 0.0455452841069972 0.0798887949381259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166628372060666 0.132791916726899 0.0461440898842359 0.0808204892934354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19328385027923 0.163779041671454 0.0592317705788257 0.102152388597769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.230990929297971 0.207713735827617 0.0846888184021026 0.141861546051894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189653753610039 0.150731145397946 0.290793797953066 0.10145371737872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189586836592318 0.151497279818478 0.2902339319802 0.101718923720893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189884131663262 0.151171998758103 0.290645023853754 0.102061645475852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191030122017492 0.150632180432085 0.291764469744987 0.102100508755106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.194883713550964 0.152116243319318 0.293804326165953 0.102802818750396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.204138509670877 0.157799401560972 0.299234805744926 0.105462793579537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190048768043327 0.150284622253801 0.290676946235465 0.101345867156151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191197713913244 0.150930164571621 0.291464116895905 0.101886044099976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19472663995033 0.153927017395231 0.292774889512513 0.104914116279738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224090334115237 0.185224400184111 0.313374389847587 0.124847266915323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.263590333676255 0.227585741307547 0.346713119350054 0.160597472194558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.14329472333725 0.111624064994146 0.0314590252123321 0.0460721289349527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.143678416898655 0.111856450952895 0.0314946715479667 0.0460922331126745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144010548520925 0.112512811845244 0.0317694205409311 0.0463827175645531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.144778535127976 0.113020846841392 0.0314981065687412 0.0464832012986868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.149347161543521 0.118261579132954 0.0332098117028988 0.0492904084937541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.157649502072183 0.127309520016553 0.0357159727019393 0.0546289133689059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.145031025950302 0.112678304337152 0.0317100458419891 0.04647582106317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.146208882643002 0.114254200960955 0.0323997939054204 0.0474665846960793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.150083842324331 0.118696506114319 0.0340269494045844 0.0499124197859952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184598053495299 0.157130121122093 0.0507581367685154 0.074958249099656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.231404500030218 0.20714972912825 0.0863600790875694 0.118909551816439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0609012677426703 0.0592188696144227 0.00202703554581328 0.00197390595519769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0601368521831231 0.0582891877089859 0.00204129160691987 0.00202099770719898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0604357965865449 0.0584339877682439 0.00206908439996289 0.00206111306984552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0602020262372654 0.0588601547849683 0.00214755543109848 0.00216159528774654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0654278904258649 0.0638421253932947 0.00336141589519406 0.0032787568226973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0758523255610045 0.0735354951548708 0.00588316181325325 0.00563512666730511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0604212773550186 0.0589556035648819 0.00209754179552375 0.00208343110121897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0614885839456011 0.0603638736498252 0.00230428038569384 0.00239017564350015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0679859983771959 0.0673525190770707 0.00348488378416465 0.00365077590673734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.110823007416909 0.109502500810222 0.018016146260789 0.0178173731701038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165822433778832 0.166725673665069 0.0510833210279044 0.0490199105995056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0771215234890092 0.100171861571529 0.0224168781761917 0.0846889607659221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0774419332772766 0.10040091194808 0.0225951099431834 0.0845668173114615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0777037965978248 0.101269713600992 0.0226391783288408 0.0846405226989614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0787273360784282 0.101395367238884 0.0231100897843469 0.084810178238589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0828219890554558 0.103179239263322 0.0247848288437096 0.0863237650850836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0910628195534984 0.10937468508252 0.0276443325059612 0.0882955540817057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0779915327408558 0.10077211138365 0.0230827372288239 0.0845298056997927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0783682302481439 0.100520407210651 0.0232612032868961 0.0847180039220842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0820747205870132 0.103674593368176 0.0244486247198925 0.0856716399002184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115870193426148 0.130156281714919 0.0397222353798717 0.0976783708000021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16342237588 0.174149771839466 0.07149880255944 0.126401980548367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.397885378600526 0.45646240588626 1.01405231020275 1.20543428496523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.398120809608273 0.456154388080961 1.01453640168144 1.20452014058659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.398247477487812 0.456502547524299 1.0148628781161 1.20507371121746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.398720671725003 0.456166404579991 1.01549304562702 1.20525920249409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.402315199971987 0.457779234818524 1.01899602207881 1.20842651039618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.408118623407901 0.460461107922806 1.02881906180233 1.21238466302225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.397775360013642 0.456137921026307 1.01312451578968 1.2030057532313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.399063547868985 0.456234274496836 1.01563085816856 1.20347475941884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.401953932866719 0.458200706756167 1.02032472783191 1.20834072660104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.42563473296067 0.472645934568952 1.05226722933652 1.23452180304944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.459630843319252 0.500005920517433 1.13975328252689 1.28918745740005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.059508568428425 0.0620509338715282 0.00195708058421137 0.00165456224947429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0600053056504334 0.0626136305958767 0.00194983866766393 0.00167009059483125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0596805346509006 0.0620736500349985 0.00197270542797792 0.00175690717881125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0598351326362015 0.0615548157442698 0.00212965598540861 0.00187383691532201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0636359798394771 0.0668576073778662 0.0037417403466036 0.00349524349865629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.073503737921689 0.078880479098788 0.00681729812110912 0.00640393592876823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0590289963940561 0.0614610787565811 0.00206116427546392 0.00172973297675125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0601401374476969 0.0637018987029946 0.00239674478996735 0.00210941777071047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0633254623244435 0.0689057662937089 0.00370854784977078 0.00346674944233899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.108722985300264 0.115313923390191 0.0217825590448984 0.0187649180973038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165690541802567 0.174078530453981 0.0611406255291051 0.0500656191757563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.318385999846738 0.281710833965476 0.887436501693814 0.469992467668222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.318256769908144 0.2815930878607 0.888164938984322 0.470234897773308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317977186714778 0.281531610140655 0.888393725866121 0.470267553558037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.31842020782084 0.281648418830918 0.889219640316788 0.470135229757144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.321731425992734 0.283539505914305 0.893566703172406 0.4724693950661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.326133216417268 0.289435521705317 0.900153520071063 0.478404680380367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.317743718969797 0.281789652470133 0.885768927551236 0.470317197518593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.318667635251134 0.282238705773239 0.884802469638154 0.47124114010318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.321822291732318 0.285228745499115 0.888066533315968 0.473145735110045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.345744349103421 0.308022586948934 0.908517902055861 0.495036353472864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.381837487906597 0.343333410112362 0.951340877336451 0.538374872648308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256100995567867 0.297301469552517 0.265786149824501 0.315842615607053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256438143347882 0.297308831350253 0.266406653009866 0.316119203797486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256919701335271 0.297404410702571 0.267354400537135 0.316494940131058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257087842896941 0.297377426448155 0.267215596051386 0.316710096673988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.259799064448461 0.298108593595513 0.269954213818138 0.317801631977552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.26560174890337 0.302640819957459 0.274794232980414 0.322563658738629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256650824816918 0.297030613403297 0.267353673977873 0.317006656735409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.257491403744994 0.298679613708616 0.266905609657695 0.317653511030293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.261952223477543 0.300439363902969 0.270872195765842 0.319078982881824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.285084239106985 0.315229279868084 0.291072796426141 0.340155019052593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.318577112671866 0.34315411184823 0.327250470414192 0.379453744352644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0852516324453286 0.161604162854087 0.0289633609184393 0.236110814112575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0854409219464243 0.161359853276276 0.0288405442860418 0.235890362662437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0859245973830289 0.161555695747793 0.0291623033353075 0.235987227117026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0859427996294096 0.16199748025652 0.029088964250719 0.236373166772056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0905707537115288 0.1663375525748 0.0314162480514459 0.236621545234772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.102623905488518 0.17480411528885 0.0365482878218573 0.238107153255841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.086032566975686 0.162161070518311 0.0286358663905452 0.236978770290948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0868806735997782 0.1630601154388 0.0292265648083423 0.237498125552216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0919059518983138 0.1691408938835 0.0320104019890249 0.243416524488266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.136487462357221 0.21551574923587 0.0550448877978339 0.268374246548789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191056616651685 0.273827024123541 0.101343650715836 0.314976184566288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114915428261661 0.086625984480737 0.0146086933569756 0.0137524325454067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.11478244521105 0.0861368568245572 0.0146000096831785 0.0137080745678005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115237802443525 0.0862636197980113 0.014499788083201 0.0137220335774058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115744462776012 0.0862777325520212 0.0144465659502645 0.0136669489373451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117843131959859 0.0888986511288535 0.0154331488644372 0.0144076274784196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.119266843594298 0.0924355760816686 0.0166757526679122 0.0160962561011339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115399596109126 0.0861161479302417 0.0145292417544251 0.0136256737638562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.115792496036429 0.0860503909985489 0.0147358362238084 0.0136761888076328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114563965214483 0.0872462554456989 0.0154395896923184 0.0145205806118144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.132098911805351 0.108220471587846 0.0219725628641687 0.0227387107492675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.160208915390922 0.140798439010561 0.0362589414330477 0.0399860086640819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117661831824952 0.111622610932622 0.0500187235164975 0.0165569890147369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.116889045528297 0.110910068548344 0.0499654384364058 0.0165865857036709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117382815464518 0.111333489092877 0.0500173040059861 0.0165349934082047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117854150902442 0.111604788822378 0.0498810861823202 0.0165846087655376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1193796780033 0.112148777898657 0.0505837577986051 0.017163275203222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.121935384300705 0.114092238835958 0.0512999096248963 0.0184636715445673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.11658222350588 0.110946277562765 0.0500017649015022 0.0166445696044359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.116726998023019 0.111376646587921 0.0504453482768338 0.0166665698611356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.117965385922026 0.111899754682601 0.0505938376680398 0.0168629323549928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.137442282827389 0.128441836340111 0.0582378684991682 0.0254137802120671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167710477607576 0.153142951544021 0.0742838270729994 0.0409601710615257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0898526268979273 0.122620686069945 0.0095918147312107 0.0401102202465659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0897940160634078 0.122863569232338 0.00958970264602648 0.0400830394023057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0901243141293978 0.123477681315309 0.00957837858726448 0.0400053219191107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0904863199885944 0.123167119102666 0.00966893601561635 0.0399093893290241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0915234706613961 0.123635385313597 0.0100862113882608 0.0409726622170301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0949936482380417 0.125377657406411 0.0112461984471318 0.0424083037095928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.090464706942177 0.122424506846576 0.00974374847122996 0.0401204104439262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0902786591566563 0.121950949022952 0.00984303203064136 0.0402549235355347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0914850642250502 0.122702736902641 0.0103849037981223 0.0404813712899717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.109232031070973 0.133032145833843 0.0167913872950277 0.0468169110269385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.140138575600032 0.157830264953922 0.0316201531872793 0.0613446861380673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.10806907194853 0.0977650624963947 0.00404751324688473 0.0082292311625119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.107868237645771 0.0975005498256275 0.00400478119003775 0.00815740657606717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.108272188249973 0.0971594032862203 0.0040730830013796 0.00806430503948574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106930983671876 0.0967507289814048 0.00422152478446092 0.00818678104148511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.110085206941138 0.0983144107372098 0.00493462089889726 0.00900624880942113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.111684099663719 0.101348037627159 0.00686911698939148 0.0109718517693618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.106851199498111 0.0972540110369718 0.004125630465676 0.00827664313950287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.107005949071462 0.0981104012265271 0.00438203828282568 0.00858584050949067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.108050836998719 0.0990318566795236 0.00525514354350043 0.00950464221188213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.128500415592429 0.120997048263853 0.0145243936165567 0.0195499061888558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163267889007222 0.156962228946271 0.0348750129785657 0.0415377169599532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.175879527569203 0.295910662813538 0.193052587216381 0.279360554800198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176136158863182 0.296030250825796 0.193049992995002 0.279242310526504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176150390684837 0.296078929832872 0.193156104904837 0.279239668791848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176880852147812 0.296572084996908 0.193454257460977 0.279595977596346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.178848306350105 0.29734313125309 0.194849873436473 0.280663066696429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182149446810663 0.298131049162273 0.196806169195013 0.281702923507625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.17673192380303 0.296000771572087 0.193321511892854 0.278659906216609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.176873057974946 0.295816380309013 0.193266517421467 0.278740655183794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179299476277659 0.297289855032984 0.194114431301873 0.27971481094322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.196700831837864 0.301963872884345 0.20504199080483 0.287206318285094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224269347341892 0.31475375863924 0.226188079357915 0.303358732475749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0991710051507661 0.0732861268119578 0.00333197547264813 0.00336130911228849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0991729566280249 0.0732072228259461 0.00332232490138662 0.00336763047815462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0992923047056155 0.0734394112070614 0.00332642510633822 0.00340922391916033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0992659526753207 0.0736151245560853 0.0033619921878933 0.00348718732429386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100180041369556 0.0763845610497106 0.00422042914723876 0.00438385985370019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.101997817278492 0.0807704907043153 0.00579087368385954 0.00607452183431123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100455182350281 0.0740653662306179 0.00340343688619508 0.00340546308831494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100113482589986 0.0740772106432541 0.0035991531348767 0.0035856247279979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.100486981490216 0.0773303921497248 0.00455263498738308 0.00463077965484041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.120567018899874 0.104541071733574 0.0130436714461641 0.0140691960162866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154431552120581 0.143953409280068 0.031429529294421 0.0343475046686611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0949968352966303 0.106017199015812 0.0323119447127729 0.0622374377905864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.095356408319295 0.105896165501286 0.0323282492839922 0.0622148515794714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0956588234336477 0.106258258135736 0.0324034805804567 0.0622036041439463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.094715796497266 0.105129159310638 0.0326031969744955 0.06222748784919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0916813482858253 0.102489533172231 0.033726370754262 0.0628422709065124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0943512761919095 0.104104228772389 0.0358521411595427 0.0642441136373271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0940567969057318 0.104975705876735 0.0324034974521626 0.0620938517425435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0926191575854073 0.104178207239537 0.0326192872807648 0.0623393383806864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0930561528342849 0.104472506458469 0.0335360538092074 0.0628408598783125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.114837223347449 0.122812648450311 0.043434455165753 0.0702661170721723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.154255459632452 0.161968367811185 0.0653647986329278 0.0888758348017432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0793397747505688 0.0912979919483074 0.00281515942922219 0.00828458413100102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0797700601201385 0.0913058201916593 0.00288075796882333 0.00829814818397155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0795635626900204 0.0910620031074546 0.00289933581235149 0.00828748251449462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0805327254009182 0.091727657773019 0.00298795098051087 0.00834399135207389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0789895391575873 0.0903520890503529 0.00349422028969376 0.0088900770962995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0788573213551332 0.0894526800172941 0.00471339344620083 0.00994088273590194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0791096968427745 0.0914206723541117 0.00283785143678644 0.00835635259050379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0777891830197775 0.0903901441021633 0.00306910763795527 0.00847664464003269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0804521796898907 0.0918398564563022 0.00365681035946078 0.00894034540775137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0949678183112373 0.102868442830726 0.0106509665677802 0.0152226266916917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.125903721831314 0.133625497475432 0.0247274751247557 0.0291380863349911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242185161557112 0.296347520339355 0.404088239886551 0.328575656813444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242074914907732 0.296173896640821 0.403935569052926 0.328500594605693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242346894845424 0.296579206957802 0.404003270076249 0.328565382420998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242752586474735 0.296767141771721 0.404123319893804 0.328351431040882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.244967363516477 0.296896760023077 0.405707025622443 0.330644066940642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.248673452384308 0.298297693724632 0.408002209663556 0.331126910110625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242399173319064 0.296120938746102 0.404140592782025 0.328729052250564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.242322780357984 0.296127477132719 0.40370265504995 0.32933266434878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243792354354402 0.297616710027817 0.403868808907255 0.329823518142529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.262527606436083 0.303374980071198 0.4198657968479 0.337007728234227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.288878107638203 0.317555816903371 0.444921095022746 0.352471214292794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0972713971385669 0.117434716961895 0.00308801589413776 0.00522485811001743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0979677379716003 0.118235422275521 0.00317298132433779 0.00516821566881247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0969613535430447 0.117228921062301 0.00317080495557081 0.00521092608423529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0978380589241581 0.117994916241821 0.00338202020217208 0.00539983354965541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0999360152699194 0.121002151593833 0.00497580905466582 0.00669660490731059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.10439269911848 0.12375370633801 0.0083077400452524 0.00914759629512359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.097225932742736 0.118508750312102 0.00303615746373414 0.00543889474891291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0973151516559281 0.119046146365943 0.00354770080438859 0.00577452062557609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.0989955792398752 0.120973752761259 0.00498269756135966 0.00714941396899636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.130958379416437 0.155000847642751 0.0223453525848221 0.0223046839324908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186196851357588 0.209342411246551 0.0632364840212796 0.0575433460436655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168489347070952 0.178398967035684 0.00631640514228726 0.00676553148616808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167716706382258 0.17785215241099 0.0062020922914022 0.00670943507720409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169840250760378 0.179449815470371 0.00626654167935755 0.00684090776202709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169172146248719 0.179632963402741 0.00639715114050625 0.00687870333669583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168516612610672 0.177785252406851 0.0073442459785012 0.00778252857222662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170694969699221 0.181009500579883 0.00916534989111061 0.00926465690002116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168438275057977 0.178867771247533 0.00631346317405422 0.00685718540619038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168487573865856 0.178731003504205 0.0067048793683308 0.00713467543374466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166467087286024 0.177288869716061 0.00749475762087188 0.00795281995831747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.174999887293701 0.186341276797271 0.0152414711725629 0.0161447319202655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191540754799655 0.202892003476186 0.0302352345234541 0.03389247728099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226225779013199 0.240360523470281 0.016145321353141 0.0448467041946989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22464220847472 0.238673613147669 0.0161554756962153 0.0446747014076549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.223278619281047 0.237985274217722 0.0164302120499223 0.0446611900746556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224211621901302 0.238955462160558 0.01671528637524 0.045001339464182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227270044778462 0.241200376700774 0.0182298225215708 0.0459046226923292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.23070854319497 0.243647936999883 0.0205888551582521 0.0471374452609291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.226224004878461 0.239695467014565 0.0162642785141692 0.044936159807944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.224083415505919 0.237742395128395 0.0168591138851211 0.0447240145390032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.222238394496938 0.236906940958552 0.0175975696171987 0.0469901890976955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.232101200961742 0.243408144380867 0.0300109321082886 0.0572104625938033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.255295785909649 0.262286560391583 0.0553343155537742 0.0797107014708013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.233243600753786 0.390043232049513 0.00444014639100614 0.023480988060866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.229459578281876 0.379659490476479 0.00385797316389997 0.0216593103565085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.227294923787494 0.37750619272367 0.00391945791907054 0.0216505152018856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.247737710304348 0.388729468004569 0.0048739367949642 0.024637305304733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.252659020315076 0.390073512948389 0.00850171366160422 0.0305476994763796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.282632848135541 0.383598065539771 0.0174271301896336 0.0413529546500687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.243799949068393 0.39622021519558 0.00479080812501047 0.024528503470307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.233307376034685 0.389145605645018 0.00619589305157067 0.0250618884702334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.256655020169576 0.404812487333214 0.0130407752144876 0.0336350603893992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.272059948379158 0.334008649859433 0.0443835313425817 0.0514637059224578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.333058257253662 0.347940726765135 0.115063931820406 0.135138297960631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167653936307477 0.166571842511223 0.00326310040467512 0.00267850209834924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163142225468421 0.161523265552582 0.00305336822083059 0.00239379581720875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166623980994505 0.163985234606517 0.00305536119585096 0.00248644841057178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167350604804872 0.165761648893312 0.00314784134144394 0.00250586089857492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166282498730802 0.168699271373754 0.00346704998066032 0.0040892923349954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16201849378173 0.167918749239905 0.00560145051355135 0.00516611442013049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.16285327321378 0.162643663097608 0.00283157510109951 0.00260976432951872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.162294446772496 0.163371325199811 0.00311584181296846 0.00286050969188137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.161754296759275 0.167409283331446 0.00471945499001843 0.0037761527191876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.167066874800632 0.172030369775765 0.0160140434986586 0.0113656659607125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.192474844023484 0.197110352827969 0.0436068074257343 0.0292267604622489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183894773946656 0.235319835839195 0.0200523195272325 0.0562207590785362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184081194538603 0.235785796131857 0.0201912001868251 0.0563481128884641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184437399401302 0.235912079796569 0.0201746692863927 0.0562559514345929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184784764501816 0.235688061209128 0.0201952056536094 0.056046217139433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181593469707611 0.234194051595968 0.0207649517797275 0.0575848521605102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181945840388388 0.234208106849367 0.0218082808096677 0.0586854804155564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184883607853606 0.235018382741292 0.0200943816698297 0.0558985047603972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184575999398873 0.235285564027496 0.0204491543806469 0.0563188303479648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.184179981137197 0.234248868965269 0.0216649947017498 0.0566619622360564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189526332609037 0.237632134673616 0.0276644375727699 0.0655414750848453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.202682211401574 0.247620647642603 0.0410299265288086 0.0806357424405788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168734862423128 0.182025273945456 0.0106370842089612 0.0106944918241633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168275025903704 0.181864251505851 0.0106546158871552 0.0107512873341096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168747261780045 0.182782850149506 0.0106613379088706 0.0107771607412449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168715543443437 0.182657432156865 0.0107027220815763 0.0108117843935903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168926309740296 0.183525467621386 0.011702895165486 0.0117299379174054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169920769443074 0.183860644066771 0.0131913601911108 0.0129831802281849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.168032317414746 0.181856149713944 0.0107647443358401 0.0109416203409984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.169610597655056 0.182654865705467 0.010868010023987 0.0110929868731284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.171367366930873 0.184606201250901 0.0116380735797125 0.012078637640812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181295786186556 0.193733151518236 0.0202668138492289 0.019444418534281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200675740654685 0.212428426110718 0.0358587991177163 0.0342715782589481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165473360348069 0.237062375035808 0.0094032718041544 0.0502428775403834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.166265341329547 0.238009955393181 0.00954603193071298 0.0502462632782098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165252432789908 0.237478150516611 0.0096967276365124 0.0505613042760861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164686433552692 0.236932190105225 0.00965811810181042 0.049984580359087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164235454694316 0.233902432869577 0.0103584777715062 0.0503583521782292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.164508081196292 0.234464298139534 0.0112846280615387 0.0520550250165437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165455990283185 0.236736859910579 0.00958920101011614 0.0507686090427805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.165259093557067 0.236028673222358 0.0101539450810733 0.0507727709283045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.163784534149226 0.232147944043183 0.010973671569194 0.0513083675619041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.170127783794289 0.236149038279792 0.0170216211053463 0.0587452126474397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.186317272342039 0.246811910739357 0.0298642782504624 0.0750222200388409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.182593873436989 0.174316611929335 0.00701379685324333 0.00720249596603592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183143787442051 0.175007832795446 0.00715354319704046 0.00732260027533286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183898680575489 0.176468998994169 0.00716650899329135 0.00728971027187674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.183076692591158 0.175702017860016 0.00721826076480789 0.00730547687725894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.181536896967746 0.17561620184085 0.00771678859234258 0.00778860290320502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.179885287723434 0.17577182684137 0.00929027418233322 0.00906421694818638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180521008358112 0.173369591353308 0.00697337985289211 0.00715321848218167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.1794240238541 0.171730770917979 0.00701929329787366 0.00713054573640974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.180090950084874 0.173432876943747 0.00769563001100708 0.00787955563085525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18508396173114 0.178747263957976 0.014894567028656 0.0142925718631986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.200128124064863 0.195704385572092 0.0289500694834308 0.0276473651829129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190939878576609 0.281730321738793 0.0636359043685542 0.115778872708592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191497962231735 0.282047230053536 0.0638200466566245 0.116149045156355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191815706835302 0.282482596848404 0.0638021577594719 0.116211068602671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191336109263611 0.281915179659869 0.0642197804604906 0.116316131309324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.189342350975936 0.280723164294173 0.063916474323829 0.116588906804054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.190330853889397 0.28131194735527 0.0656861315599216 0.117968417375531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.191701084456038 0.282824169878847 0.0639996390768124 0.116420773337146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.18966671616086 0.280605197611531 0.0640186430173151 0.116656530841411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.188720942163076 0.279703782900249 0.0645216293424291 0.116857626560178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.19562467343988 0.279817074788442 0.0718934226583033 0.122228209780699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.212310706239331 0.287516798784001 0.0864973983654363 0.139052765622191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218356796637632 0.203632816199594 0.00923139350032351 0.00388122970623549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21930212798902 0.203705207573396 0.0099775301350518 0.00335995563089302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218854387182208 0.205598455975952 0.00944775972418631 0.00347799338586979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.21923749626595 0.197505059809818 0.00884427605691666 0.00332458960924777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.220522261643917 0.198519949186137 0.00884148340756431 0.00480835410207195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.218462784863957 0.208614026643209 0.0112259660006738 0.00797235988619067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.219247761006597 0.202367659650073 0.00937301659795058 0.00348694774244954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.22949224488504 0.206519640480744 0.00970300659510343 0.00399975756544748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.216223515968726 0.198888570438457 0.0104644052276927 0.00459003919709216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.23732426249064 0.223776240254238 0.0250594362785021 0.0178055042965022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.045) 0.253601061955986 0.261475478937131 0.0567704679568119 0.0454147242330643 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0353279727892553 0.00938018550556455 0.0025921336803415 0.000257366183879287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0353023819605627 0.00944500763360673 0.00259425369990135 0.000262565797284564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352415868998358 0.00967619994267631 0.00258787589167006 0.00027758853655177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352495348695073 0.00966505314770498 0.00257809732328213 0.000276984912133442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0362711477116383 0.010734091991091 0.00260736170311756 0.000326318781632472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0379084481012897 0.0124112372242446 0.0026728339101194 0.00041108889283514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352020856622434 0.00968178121466471 0.00259933087860516 0.000279316604966141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0353340469221179 0.0100344160628067 0.00261475031788923 0.000295802283067307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0363317658633373 0.0112647762859523 0.00263906877802542 0.000358894552639392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0420772766337245 0.0191055294593975 0.00305848441595218 0.000946035564554696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0487725145371541 0.0290682768115668 0.00393958111144093 0.00214088064662147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.05528361964704 0.087589926950261 0.00772420278027793 0.0368341170201002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553100266348124 0.0875343082703064 0.00771776331414933 0.0368117555336279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0552803805740058 0.0874249811228939 0.00771242235116902 0.0367554058360905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551901096461228 0.0874227284121172 0.0076757754346113 0.0367472742320583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0552323085980738 0.0877560801396644 0.00768266048101651 0.036823529531571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553648662494502 0.0886100338977096 0.00766119911584569 0.0370592257621842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0552954265544853 0.0875524043382388 0.00769311713126519 0.0368366982974528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553112494258661 0.0877217973428929 0.00772010315768631 0.0369183672054168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0554671959115024 0.088287554077093 0.00773689277799904 0.0371489497048516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0577511138485383 0.0906382639780687 0.00801891213134141 0.0380701166679051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0609393257383663 0.0938011800878147 0.00839675805541463 0.0395297166046856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196303525865439 0.034697831511448 0.106650412022396 0.00538401257615863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196217606694431 0.0346606204632894 0.106568751112776 0.00536646943058623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.19614598351815 0.0346141955341109 0.106500956261166 0.00533258516810779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196284819937214 0.0345569233634021 0.106574073913524 0.00529390979314625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196488713749856 0.0343712032271285 0.106571332852192 0.00524599783247985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.197550871023581 0.0353648771094488 0.107237540009856 0.00543358115536685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196155288061808 0.0345219723455959 0.106509346675137 0.0053011040818003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196202854403004 0.0345404789659725 0.106552498344511 0.0053026595122258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196680502886182 0.034895716890115 0.106869851762133 0.00535414747878319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.198499748067096 0.0378639291287074 0.107572742737543 0.00584925318535889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.200168491288287 0.0420885763570786 0.108632229951753 0.00676069413562343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0670908488441024 0.0887466214328161 0.0124584760308497 0.0358651899361087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0670829472309586 0.0887157974366356 0.0124484383501015 0.0358805382619799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0670435545402011 0.0887078561697063 0.0124436468095051 0.0358881573714452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0668910554451445 0.088655582159307 0.0124013190761275 0.035860812594786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0675038754487808 0.089153954423316 0.0124686713618319 0.0360526221933296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0679171942930509 0.0899943221741449 0.0125001201840587 0.0363321570511613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.067089224464876 0.0887554489996726 0.0124733594538623 0.0358843507854681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0672832154747315 0.0889182884684567 0.0125193577191671 0.035903451142398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0667226626084024 0.0888563637093498 0.0124056715853511 0.0358142487281517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0686068613028984 0.0917477159382654 0.0128350236393054 0.0370582512933105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0732548484522341 0.0963150601723916 0.0137371901637763 0.0390621784832539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0824787639927863 0.0504582186694623 0.0180535419366986 0.0125520060965546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0824226445237597 0.0504022439334497 0.0180442944317596 0.0125334684006506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0824188642961831 0.0503421387135235 0.0180323532217223 0.0124998056224033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0825606981305431 0.0503548223087654 0.0180994166221793 0.0125278104751712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0830153128904364 0.0502064281319076 0.0181447004571372 0.0124506751612133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0840623421465665 0.0503453800400855 0.0183935327185593 0.0124772652988674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0826029394059712 0.0504741930671097 0.0180873084567899 0.0125594929473843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0825739322340528 0.0506196394096714 0.018121555540993 0.0125784785911822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0831397603334132 0.0510030623990582 0.0182628115613739 0.0127300362252997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0862288065667603 0.0533369058797847 0.0191521233098238 0.0133549278036407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0894293190860504 0.0571119496380536 0.0199357664503041 0.014538559397957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559920057313349 0.0622986626756606 0.00794994429710991 0.0190300614519859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559946731764359 0.0623781873703804 0.00794467330829 0.0190613996523739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559669983641943 0.0623407023153956 0.00794387193712109 0.0190362742975634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0560779326694274 0.0624936364429464 0.00796455012193575 0.0190831621968896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0560327486280394 0.0629526447842488 0.00793459751617379 0.0191912546630723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0560611804486448 0.063226320469721 0.00793984209914956 0.0192228857425328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0557627139545077 0.0622193738349359 0.00787084067831751 0.0189788158616491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556457409304017 0.0621050179928071 0.00787475912355057 0.0189332138860669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556415795717589 0.0626243654369622 0.00784459639508908 0.0191200690031336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0564191809968622 0.0640079197645696 0.00784086023096995 0.0194198945005928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586894086557658 0.0663868865479266 0.00807618165196092 0.0201084296583915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0356396658859456 0.0630368330716448 0.00269748834308841 0.0169075056818162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0357327531553291 0.0630601552290962 0.00270206743652132 0.0169098588688265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.035800435948601 0.0630253524160294 0.00271677224900326 0.0168977249184327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0358260499298689 0.0631048084408709 0.00271992320983356 0.0169486541074553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0360266061119058 0.0629614539428258 0.00272896198358003 0.0169169281564545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0363494526753587 0.062817013221933 0.00276533468558948 0.0168138447560929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0359195726667083 0.0630784226489204 0.00271963509772969 0.0169699490633374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0358900028567959 0.0630745861071409 0.00271852338104335 0.0169451903446358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0362317707032301 0.0631310319792955 0.00275120674870998 0.0169457776143861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0383844554321673 0.0641001638465808 0.00293123891997572 0.017287447993556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0422063137961203 0.0659322834405768 0.00332706249187232 0.0178473483323455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492117406388461 0.0380026267892102 0.00609300860438047 0.00649625212207135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0493574600289856 0.0380701027113651 0.00612773648844818 0.00652515731272875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0494227064907148 0.0380560898210207 0.00614236805833536 0.00653801658688424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0494404470367836 0.0380626927068913 0.00613801012075336 0.00654022880475562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0500264999171799 0.0385386475241327 0.00622110886129207 0.00663988278238538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0507879856736535 0.0393617605988192 0.00630785313486211 0.00688388623120643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0493083018833183 0.0380587680095319 0.00610734006478778 0.00651412936137422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492563702086178 0.0382044069764802 0.00608507993091201 0.00652141688825368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0495039884597082 0.0386818699361388 0.00610127593395187 0.00664552747096545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0532022251112361 0.0419338570934959 0.00655566494540276 0.0074494960933751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0582860124944072 0.047151267539072 0.00734457422724403 0.00877700269784238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711017194508314 0.103414728368729 0.0136004868564347 0.0491278070108304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0712613649923493 0.103464904334243 0.0136403784589637 0.0491478103520565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0712488418231545 0.103414563239671 0.0136401373115804 0.0491177792710792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0713512582715708 0.103588955508372 0.0136543167801745 0.0491554507437039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0718648817758453 0.104236647369287 0.0137406919940105 0.0495055807278534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0723096244170727 0.105193866530449 0.0138246001207709 0.0499599564222465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711078134728804 0.103569987279269 0.0135885056751153 0.0490843088288848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0712332881699916 0.103565836962345 0.0136155011053744 0.0490671453961868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711605473167133 0.103874325902917 0.0135892983537568 0.0491247403495284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0729362662396004 0.10613085561801 0.0140256440109064 0.0499748890123975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0758890993613241 0.110003271573519 0.0146043904465818 0.0517832087100029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0775044631331778 0.0160043160176955 0.0137418617265524 0.000853369792401776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0775588113198221 0.016051582183647 0.0137605176472314 0.000856255571532929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.077589991815352 0.0161127631181264 0.0137687981577578 0.000858484698530553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0776781252559475 0.0161114696567814 0.0137664579922864 0.000851365425229922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0781919328150881 0.0168359347311609 0.0138601793701199 0.000909935403020913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0788448803548998 0.0181069396530536 0.0140272630444254 0.0010140212997318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0776401178419443 0.015943193604152 0.0137887265090326 0.000865045898973986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0777515445791177 0.0159148595936726 0.0137701777591767 0.000860049058791803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0780856767778225 0.0161151642278349 0.013836507237663 0.000866200289250904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0807700714320157 0.0215966218038142 0.0144222976223638 0.00144500073197054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0834977695998819 0.0295820020408017 0.0150620230584576 0.00258402211384894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0287404296747692 0.00687711029343986 0.00146718991996112 0.00013755798449193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0287078580614858 0.00676117835093746 0.00147220020514059 0.000133972986412127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0286655184153295 0.00675667583928332 0.0014801992154081 0.000135514287946972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0286711246353246 0.00698011066317036 0.00149858721488312 0.000146256269346859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.02975950622295 0.00865805747446029 0.00152981395295479 0.000208336561494007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0314739530356731 0.0110755703028479 0.00160131952999573 0.000315323327944842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0284748300913036 0.00710656828661893 0.0014927736988156 0.000147402774169022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0284938811870448 0.00758564665281398 0.00150168745334623 0.000167889551009489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0297237233909383 0.00933945639422559 0.001525518471581 0.000233626879932674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0354130560793291 0.0179002651409221 0.00198783207818035 0.000804724517933714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0420783963730239 0.0275990789919611 0.00272472118099523 0.00194571950630146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0456597391140043 0.0782755625124894 0.00567431964487364 0.0286375952620714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0457073535981698 0.078367186539773 0.0056887533014909 0.0286572119787296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0457610907749384 0.0784780159248657 0.0056923095168728 0.0287219728229955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0458262728894944 0.078644253177692 0.00569330533484245 0.0287770207116318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0463173082800394 0.0793672319058505 0.00574785511183145 0.0291332430250632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0468651650179212 0.0800063273507187 0.00579163029893096 0.0294717475676128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0456884202212918 0.0784392410139182 0.0056910634510212 0.0286606585794585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.045703447267454 0.0786184918301743 0.00568998647706325 0.0287039975558524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0460203656512333 0.0789306098798243 0.00573144882875748 0.0286841477855841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0493898384284843 0.0805970013707865 0.00618523153819983 0.0295464691637255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0541240873522905 0.0837671815675259 0.00687528702087184 0.0309050485735458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179042967419049 0.0321950336884447 0.0822399512964699 0.00438983211867642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179117232622469 0.0321671763549999 0.0823218306193878 0.00440433481969626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179038845489971 0.0320255488087079 0.0822699569761732 0.00436731343349005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179230678241909 0.0321677371002668 0.0823742771969904 0.00441484418862991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179387534901158 0.0324446501047218 0.0822223791519991 0.00443451860865016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.180028003517599 0.0333666302069739 0.0823821975267831 0.00457027218781914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179277754994135 0.0321472760517956 0.0823675066791654 0.00440362325690583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179212322431942 0.0320874405459229 0.0822797312652955 0.00439306098886478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179556767905018 0.0323529070582436 0.0823880409707987 0.00445689666846258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.182140461941591 0.0367438798599026 0.0834058364918432 0.00516877438837455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.184816256346645 0.0421333398842839 0.0843317562901222 0.0062431725666928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0615336584369244 0.0784213015526572 0.00982675600962301 0.0282976529544354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.06160777278182 0.0784219096054712 0.00983090687461882 0.028247304535505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0616376729606349 0.0784702315614451 0.00984233436471293 0.0282947753061087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0614741868725796 0.0784731160215222 0.00982686876262902 0.0282816944172195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0618981742208642 0.078992565969834 0.00989288896898376 0.0284326662440702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621895628609553 0.0794903165347634 0.00997627139453999 0.0287232714609597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0615579592924738 0.0784180902299452 0.00980607456088424 0.028263055627189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0616577666049503 0.0783910326525406 0.00982317945627664 0.0282373201996382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0619654837094133 0.0786695054553279 0.00983743729529859 0.0283062768295936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0647875702987809 0.0818762119233215 0.0103092138334477 0.0295233678176671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0693338439512486 0.0865905001235066 0.0111863975519036 0.0315614217544716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0713699710565663 0.0452374459542168 0.0144365796356779 0.00967574734074172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0714334225737891 0.0452196091697544 0.0144298781827412 0.00967795549550069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0713726287228544 0.0453725999389304 0.0144287208048659 0.0097418163982006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0715381269562671 0.0455782582151385 0.0144962904325853 0.00984492702305947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.071510051224283 0.0456592325478556 0.0144367322503379 0.00981033952952594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0723380010930647 0.0459249675654158 0.0145698733477824 0.00992634885482237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0713252214607684 0.0454385509892047 0.0144224460614729 0.00973177304032303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0714731610516811 0.0455281142159733 0.0144442607388509 0.00980175897246812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0717687076130367 0.0457830524611538 0.0144947818703594 0.00982852784282212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0751114349336384 0.0490762677917387 0.015102601476852 0.0107777450781127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0799212653110538 0.0539301101159627 0.0161692425962596 0.0120967438501443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0428611400787277 0.0473623578409692 0.00489300437149857 0.0111109336609973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0428545794947861 0.0473969065381657 0.00488807637394301 0.011105938504322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0428391514076806 0.0473679719456659 0.00488623355662164 0.0111001037651666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0427423731306706 0.0473635764205232 0.00486401707905085 0.0110944836428087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0427546362751662 0.0476502015911804 0.00482190480182959 0.0112263608810579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043067039201005 0.0481702807738057 0.00483928179445758 0.011379366333201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0425854455486661 0.0471894947162832 0.00486273951824775 0.011093368872782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0427491043316367 0.0472348975065719 0.00488616225098325 0.0111131005163204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0429873481521145 0.0476603059259937 0.00489596012965903 0.0112205958710456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0444947659163363 0.0504369528153508 0.00520409930974871 0.0119215680563889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0476840736728907 0.053941333499362 0.00556934603725817 0.0128057238845853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296135900653206 0.0510818150923971 0.00192440377817161 0.0110965725262121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0295051790049812 0.0511141908470904 0.00192636973444856 0.0111252868778878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0295505040308549 0.051252752756269 0.00192188328750836 0.0111446380552913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0297887866649568 0.0514285344961674 0.00193439107510039 0.0111538622603453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0297994680076354 0.0515186103094119 0.00191316681284845 0.0110394736588431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0308451399343389 0.0517980004622296 0.0020116180008483 0.011145163545289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.029790232065896 0.0511178991884061 0.00192564897479964 0.0110406737292394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0301399446438458 0.051149160973896 0.00195208880220975 0.0110322764164639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0306747197574382 0.0510090828530168 0.0019552854746591 0.0109013660772491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341828663235107 0.0522466235015179 0.00223063150954466 0.011231321878576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.038234620540452 0.0547252248354497 0.00258676571454506 0.0119952436930844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0421321789931905 0.0343235537075917 0.004641954984179 0.00534348981696198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0423912821658997 0.0343102363720258 0.0046706402543243 0.00534496900023334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0424323968929376 0.0343145023966447 0.00467770686025067 0.0053415411577637 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0424218920105205 0.0343507596340545 0.00468518140287116 0.00536219532065028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0429147164372415 0.0350151845337114 0.00471994376347309 0.0054639382557296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0437402806759685 0.0360629097358269 0.00479831971750444 0.00568109613386817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0420585811225529 0.0343498421027818 0.00461903709380117 0.00533828893194454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0419874479117468 0.0342983932943513 0.00462415515460696 0.00535106210242331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0425393645818032 0.0345973132135088 0.00469871141077388 0.00537614012368661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0461276752053118 0.037854897796324 0.00516269188918804 0.00596863487363502 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.052252861349684 0.0431871957213611 0.00609173499196095 0.00707672130302878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608832172469487 0.0939624029788513 0.0103680013950195 0.0389841776328932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608816535011008 0.0939513335203664 0.0103621574760075 0.0389962002975201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608488113339571 0.0940551799680435 0.0103629965544552 0.0390246818445511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0609707358517526 0.094047988368295 0.0103859471958066 0.0390906056560086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0614706514652832 0.0944203900261686 0.0104534742714244 0.0391992453212373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0622197062763451 0.0946519980606818 0.0105768993064553 0.0391888922865623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0607756453538911 0.0941535365891291 0.0103396313293165 0.0391709733731247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0607026500858592 0.0940920152321364 0.0103483839863032 0.0391149455597812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608627243127254 0.0945983812191041 0.0103268759473804 0.039336628584509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0628044283443436 0.096309236671078 0.0105704384874897 0.040088287368039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.067025707436412 0.0996148589678212 0.0112106405821781 0.0417024124527477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0689020740461351 0.0139394286507206 0.0110969055473266 0.000630925639043109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0689254122733058 0.0139009712129489 0.01108616156953 0.000626945105753546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0689049742383187 0.0138630413930357 0.011073278871047 0.000621723791190819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0691293033321232 0.0139500831097409 0.0111335252090039 0.000640358570799918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0697443992422595 0.0145893696838567 0.011225399386306 0.000686545569358741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0703631978144767 0.0156281975691765 0.0113246216263486 0.000783198879479845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0687376733334123 0.0140776776614913 0.0110330432537452 0.000635920798253618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0686979500428358 0.0142410257964134 0.0110006526296016 0.000646006450409114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.069356390840109 0.0144391730139536 0.0111355527775307 0.000646539084912147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0705618630825885 0.0196483198651449 0.0113010400020347 0.00112970151199616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0733611346470555 0.0270703392051205 0.0118420969968261 0.00205139794864239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.027104307152552 0.00671690679305681 0.00143568008770491 0.000123379142072493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271747204021929 0.00658809660182018 0.00144574548123979 0.000119947549916238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0272685301838233 0.00653485881048407 0.00145567226762227 0.000116405574509749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0274798514061975 0.00673639961272047 0.0014555224758958 0.000120584230228814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0287082550095258 0.00875531099018636 0.00151095491636127 0.000186655102031697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0303666024595779 0.0118205222145512 0.00162832753278698 0.000333506512616276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.027488753095979 0.00662759652092249 0.0014486632024079 0.000119247664959982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0277290215463062 0.0070745892169147 0.00144315078515943 0.00013398044909147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.028189185311059 0.00905356956534032 0.00145376908907023 0.000209540983349531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0336846900914937 0.0180510070159223 0.0019062453510466 0.000811674674861299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0411532000285328 0.0279688194211838 0.00279823842682365 0.00202708229164855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043340985762915 0.07471933603945 0.00535831089833549 0.0259917614645972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043391609561252 0.0748366025673382 0.00536440027954726 0.0260506265458768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043388446940021 0.0748674864335608 0.00535665994210102 0.0260570490370783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0434617677773034 0.074848827363025 0.00537354652333688 0.0260380746145281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0435427538939541 0.0750672556520997 0.00539298849033369 0.0261920564205814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0438754386776055 0.0757301439436734 0.00539901359871214 0.0265141546086942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043388527848892 0.0747806901517467 0.0053739953101071 0.0260124745823579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043284358032372 0.0748261862610053 0.00535165008911545 0.0260393338397569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0434174540310266 0.0753681545364218 0.00536119255761861 0.0262352556394236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0458216133191003 0.0777311215210427 0.00565329105538296 0.0269518632571582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0510164268142719 0.0812366764588413 0.0063587190109646 0.0283286970777585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165914133552428 0.0301706023149624 0.0758730858966724 0.00407136211332987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165728862155501 0.0301280542595042 0.0757309716404339 0.00404433845374318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165789333186362 0.0301325118255477 0.075763753066458 0.00406040150601583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165865215742793 0.0302510229534336 0.0757170351755861 0.00406334728877564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166279244226077 0.0304665987964338 0.0757576728465917 0.00413009675829109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.167099059260944 0.0314949832249118 0.0761968440965603 0.00431548940657139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166011968355284 0.0302926530474809 0.0759386583088912 0.00408796375516272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166319818502208 0.0305046529014378 0.0760766570276254 0.00413726133484818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166409303212047 0.0310235734481164 0.0759565387500177 0.00420092612178579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.168923818112281 0.0351157400015188 0.0769597633562512 0.00485629914532482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17252361309777 0.0415441906529871 0.0785025919557682 0.00605878137869469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0590368518923306 0.0747258551652684 0.00936969930781837 0.0258984989386029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0591550845425204 0.0746975545675281 0.00937743549779546 0.0258751861022766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0592032268448366 0.0747398523476442 0.00939031298797433 0.0258437869346718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.059179986291963 0.0743535275614104 0.00940028349002873 0.0257377616029443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0597473476572795 0.0747133804479395 0.00949729247110322 0.0258562015330618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0607579571188597 0.0756120832577769 0.00969187214188945 0.0259554531790574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0592685273218804 0.0748248419430264 0.00944930830678706 0.0259402209184353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0593184901179761 0.0747184954063262 0.00947098371223159 0.0259145267227358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0593716567378367 0.0747708739267674 0.00948387787485101 0.0257896895671283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0629106030853591 0.0773533658188969 0.0100823648065807 0.026630138361938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0680574827074732 0.0812058718872489 0.0109239025281953 0.0276709475815232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.067216141317981 0.0437451503769448 0.0133776380373074 0.00896350587159723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0671601992685038 0.0437649621984937 0.0133775895138946 0.00900114866924476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0671735783014272 0.0437756215334001 0.013385650614087 0.0090153363248738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0672407085017822 0.0437747694899352 0.0133942232470817 0.00901181947530907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0682036825564602 0.044215653238082 0.0136491494841323 0.00909593668565844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0692417055758094 0.0448724704958639 0.0139738815342735 0.00919602350754651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0671832926797738 0.0437699537100572 0.0133896435258624 0.0090037681950716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0671585257895302 0.0436596000388441 0.0133942358485406 0.00898396478320402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0677271707614452 0.0438671786375188 0.0135270965788366 0.00909688974750749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711495510166979 0.0463258579960107 0.0141809878332166 0.00957673726753545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0759232807291328 0.0508017630682774 0.0151665335123987 0.0106706085827191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0404124650124427 0.0441523504341424 0.00429131695595862 0.0100298305728592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0403140093398296 0.0442382698597945 0.00427434960444609 0.0100459052241814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.040106756406222 0.0443082449369748 0.00423751261696564 0.0100860993447163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0400490170125771 0.0445655848549948 0.00421849230200979 0.0101170814505528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0400880954885924 0.0459400864742815 0.00424779512179262 0.0106552567919865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0401995844782026 0.0475066661126656 0.00424555565595907 0.011002952958027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0403437434023571 0.0445730549704137 0.00425331112287706 0.0101103734521569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0405011163990871 0.0447698258570735 0.00425102316504776 0.0101454915466329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409352081205497 0.045365270890008 0.00429517120431417 0.010240790378068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0431760847900182 0.0479574597605433 0.00443563372817275 0.0104988806573052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0458882286838739 0.0509683463566869 0.00456354940641259 0.010738833589431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.032108739948584 0.0467256966695726 0.00226330613356805 0.0093863562937884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0320451540400605 0.0467166352084928 0.00225679562810422 0.0093941652363519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0320964706795934 0.0467559184516758 0.00225641875880375 0.0093899209500352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0322579120227669 0.0469087961423634 0.00226693742633031 0.00942701735037551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0327556469657074 0.047039619508886 0.0023148851386724 0.00943695664522347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0336056875514536 0.0475410434054863 0.0023830052665968 0.00952565920492971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0322365169314497 0.0466264506384325 0.00225592115239534 0.00934166036703614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0321792959139726 0.0467050236054331 0.00223871545882491 0.00935791119826566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0321781308532893 0.0467630373859671 0.00222249895727 0.00942316723683325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0346093057114282 0.0483132310214775 0.00232286738290979 0.00976832492413273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0383215362964826 0.0513977876306313 0.00265864845465217 0.0105565960514436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0398934818778685 0.0339903041050612 0.00444710128186336 0.00515083783323288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0398962066353085 0.0339969171592809 0.00444347910310611 0.00514861003766188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0398879293617424 0.0341027268101868 0.00443735431249486 0.00515702503738999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0400501862915082 0.0341948377413396 0.00448037721468731 0.00517341556943499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0407301404359759 0.0343862080955782 0.00455175214824506 0.00522269505705026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.041803034904161 0.035055858927225 0.00468395866804806 0.00531156012231081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0398681032742818 0.0340417507739973 0.0044590950145099 0.00513494408112489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0400407337865295 0.0341295686958768 0.00448144625591178 0.00519890359886599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0406019549707326 0.0348455839538035 0.00453676729890206 0.00533843266558202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0454086956395657 0.0387195711026213 0.00507148230647951 0.00609850450205707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0520547986617534 0.0446261991789369 0.00606339630514834 0.00733476578320642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0568869530780157 0.0876429774208253 0.0098090772688039 0.0347594094500085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567008585854395 0.0875428337602579 0.00976274320825312 0.0347004257359846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0566866911844105 0.087526221439558 0.00975943677989426 0.034721621491345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567317537327433 0.0875285697272646 0.00976728608108389 0.0347656430420971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056695006379069 0.0874885868202305 0.00975651309669108 0.034909264290045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571077382477869 0.0882973144907703 0.00977526908860815 0.0352352945036613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0569550559864763 0.0876184271634217 0.00979854807718046 0.0348217160237931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571429924132896 0.0877165742434758 0.00980805302543374 0.0349054597430024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0576083674933171 0.0882536877706877 0.00990558394392703 0.0351428127962318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0602647309854046 0.0908438887551612 0.0101744839058988 0.0361295383319227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0650133535256323 0.0949281063002579 0.0109135424155216 0.0380065318103379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0642260288097542 0.0134486042179025 0.0104741477290074 0.000595130113833926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.06426215309385 0.0134590092342832 0.0104797120251007 0.000595908824696512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0643263448499002 0.0135163382202387 0.0105016435162388 0.00060590687798291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0642804474663938 0.0134221143457207 0.0104758550011379 0.000594499735421427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0644680168868614 0.013806113237876 0.0104787814435855 0.000635693231716381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0651365327235178 0.0154225523357925 0.010561705909865 0.000772438031849189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0642440486566787 0.0134673448139231 0.0104843923867838 0.000596303426456833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0645476654236035 0.0137030855898608 0.0105365493374969 0.000612430979242182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0651676516048577 0.0146953368601758 0.0106477412547773 0.000701240825881714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0685768314259984 0.0215593153622203 0.0112816253153474 0.00142910475168398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0738374595667971 0.0303653804704931 0.0125279703943711 0.00277064449842313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342591106757023 0.00921675267241184 0.00250913232902253 0.000261682720511857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341654200689853 0.00906408982926677 0.00250512455022623 0.000256433358223317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342900101847192 0.00914610433570341 0.00248893794902883 0.000257310023926615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344509633841065 0.00919331852644131 0.00249167878467907 0.000256574626770407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0351593207725338 0.0103662268364108 0.00251881630738807 0.000303548980374163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0363417806229063 0.0123941981808844 0.00257916578684239 0.00041414810229554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.034302000194764 0.00921449612589858 0.00249948608809707 0.000261883452231928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344894904363535 0.00917526109635972 0.00250650675504314 0.000257266182848913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0353052491388151 0.0105714272764148 0.00252832705210415 0.000317442545426537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0406486093466241 0.0188235658052092 0.00282077584268311 0.000874767822719364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0485729867285236 0.0284111848762902 0.00388167063979345 0.00189881542454826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0495318875365124 0.0817032185327632 0.0067558327096762 0.032792111190909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0495332009644964 0.0816373016953678 0.00676445374723339 0.032712937457689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0494343549374701 0.0815869323077939 0.00675302852827667 0.0327199754719082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0494556604350027 0.0815258069884987 0.00676379704118736 0.032651751083432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0497679471313828 0.0818334168028974 0.00677085655802224 0.0327386309412757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0506037412500717 0.082372837254551 0.00693103111812315 0.0330019577382722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0495751225688828 0.0817326417036428 0.00678161490678366 0.0327205821620594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0496903536102907 0.0816112854970807 0.00680068326957986 0.0326421833672493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0504785391314462 0.0822338556989863 0.00686909184360774 0.0328028725951083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0541235080198739 0.0852598105307764 0.00726862247170276 0.03369572722084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0585025164292531 0.0890827572817207 0.00777897128647276 0.0351318746283119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176115389935812 0.0310581864371394 0.0971276455258423 0.00453307367241891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176254908191127 0.0311468615719396 0.0972377554671763 0.00455677337353598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176405659298424 0.0311209388953336 0.0971120053299199 0.00454694514113398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176568086164 0.0311279019656036 0.0972576415402231 0.00455161275572428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176774288584774 0.0314896208517486 0.0972607114119966 0.00462773758008566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17760182639901 0.0325246681626147 0.0974063484095274 0.00477103473193028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176594744955509 0.0312651878030663 0.0974401234017405 0.00460538774066868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176712439361202 0.0313740410355246 0.0974934142908385 0.00458678935124949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.177231054578745 0.0321347033908969 0.0974998912688367 0.00468194114141928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179106665584318 0.0357990518270306 0.0977079808966708 0.00519346100833593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.182301157242242 0.0402684881215956 0.0987970602092767 0.00566272402091704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0677340452204863 0.0864595193179683 0.0130847434715064 0.0352663811767305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0678681367943978 0.0864013326397148 0.0131349343023215 0.0352582503302654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0679947462201176 0.0862396842500665 0.0131875881015951 0.0352363244978946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0680387717880365 0.0860553096821652 0.0131878604825054 0.0350581692042245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0690199933056161 0.0863467382338966 0.0133946487526276 0.0352734521204245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0703163042498416 0.0876511269617119 0.0136963287201791 0.0357439596251024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0678177995727384 0.0865798073497562 0.013087920898865 0.0353466537355398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0679642001712295 0.0867127511474249 0.0130902954044784 0.0354337034088952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0684630226207102 0.0872738525513004 0.0131088409044047 0.0355991159498106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0716262073160261 0.0907301369495526 0.0135157977347763 0.0366998999929236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0772035594608694 0.0960481834114525 0.0140465204225022 0.0389296938963308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0786141683195592 0.0475499349058212 0.0165951211230397 0.0108674538842049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0786988541246709 0.0474923766948012 0.0166137109054459 0.0108478609132268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0786851658198921 0.0474202980327544 0.0166389755416216 0.0108687287903946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.078862038330056 0.0473911782686764 0.0166796099970247 0.0108596007113364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0794070266980914 0.0474363580830184 0.0167983264084172 0.0108171147309249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0804019543504536 0.0474051657867785 0.0169991633305239 0.0108964870169734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0787929106011169 0.0476499969579988 0.0166819055718553 0.010902598702347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0790086447078669 0.0478322034765505 0.0167332886574978 0.0109520865023708 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0799386237136963 0.0480160859319484 0.0169733608047125 0.0110026596277191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0826706112190522 0.0505984650741534 0.0175522907131436 0.0115590302093342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0862077676361962 0.053836960450498 0.0183505021149792 0.0122170467071243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492173863509089 0.0560970291333129 0.00649712080762528 0.0154089059134763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492193022981303 0.0561186516128947 0.00649920653756981 0.0154173833370026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.049205855821034 0.0561275423516518 0.00650232666905691 0.0154469699593527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492783773170422 0.0561963333573942 0.00652096473943593 0.0154836731562725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0494260075716064 0.0570554741386862 0.00652843443796095 0.0156954338385571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0497975074013493 0.0579025287811531 0.00654968965557675 0.0160071289465639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0493894851830215 0.0561943556611322 0.00652722863128994 0.0153634454688958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0495024029582986 0.0563292283976407 0.00654089245833623 0.0153816067835832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0498569513743994 0.056471937484028 0.00661865504397514 0.0154143054891827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0517533308022399 0.0590240869383428 0.00670809333641881 0.0158222410608898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551369597842212 0.0616176799889258 0.00708986239526025 0.0164124135724681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.033589246434866 0.0554674435734065 0.00223106073181707 0.0134991497887537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0336664636493828 0.0554489324447863 0.00224004338398414 0.0134822729878092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0335266946505784 0.0554011134639378 0.00222847501311201 0.0134457139261337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0335832573307875 0.0556632929746677 0.00223297614548551 0.0135554621425958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0337178146722424 0.0558291020078454 0.00224673198206802 0.0135746059787244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0339725082074522 0.0562346595967735 0.00226297161998146 0.0136634678664038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0336369700910258 0.0557818898357617 0.0022630157648459 0.0136115028283114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0338280273693939 0.0556865320809096 0.00229984155718045 0.0135711105645235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0331927463954099 0.0557015120993747 0.00226237418751827 0.013586252254276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352685593630754 0.0581809071463989 0.00256817028677178 0.0145776694107986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0402385360332516 0.0613159706832602 0.00312950984444611 0.0155768507256964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0461761114884443 0.0356624074617202 0.00568512264971416 0.00564537491477341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0461576111184848 0.0357346720585448 0.00568043425641559 0.00563806956701796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.046206212544477 0.0357111723844831 0.00569723246870913 0.00564602540057479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.046355711585269 0.0357788580402453 0.00572577876220716 0.00565649520765548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464714035715891 0.0361185409221903 0.00573302681003242 0.00572049167176451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0471607231708024 0.0370048777365307 0.00582836133624483 0.00583878550620895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0462581919958543 0.0356394654713988 0.00568868701176771 0.00562857181055042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464915365282613 0.035949361815638 0.00574434064214274 0.00570959929087802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0471035095902263 0.0365222622972474 0.00582055511701175 0.00587167326857663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0524945176440891 0.0422424963499707 0.00655118843036895 0.0068399942025574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0617588013624895 0.0509828908165878 0.00824213411558583 0.00882982929984703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0620157857063754 0.0912531312115914 0.0115411139492401 0.0387626631792904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0618929432879308 0.0912502054883159 0.0115338675691793 0.0388095039647168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.061989422661951 0.0914125757911612 0.0115479165505957 0.0388884095550196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.062085125628508 0.0915161848606174 0.011560916425723 0.0388490809246288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621558717638366 0.0914601190385145 0.0115349449845455 0.0388658113436042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.062602064312001 0.0927017702889736 0.0115380627652768 0.0392598348102826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621088644850212 0.091446413227743 0.0115670583498661 0.038752496496351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0619816710782122 0.0915633013521847 0.0115231786128036 0.0387469519996812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621593523911655 0.0921924282250179 0.0115291310092228 0.0388512801199083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0647385498182359 0.095750714887048 0.011882501977377 0.0398358315033815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0685746425850906 0.099524921449757 0.0126641378269864 0.0422112988968839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.070544987489648 0.0158480027149449 0.0120807237008562 0.000942750478734012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0705178879144666 0.0157881676701473 0.0120792316387442 0.00094834550425688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0706095177838644 0.0159707918352853 0.012105689177889 0.000965462251953473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.070582883969402 0.0160658028343608 0.0120832593172242 0.000973696464612532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0706063507770504 0.0165940376232406 0.0120008563316287 0.00103459314122347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.070869086773615 0.0177085421241832 0.0119792930312435 0.00111689423419149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0705007836843631 0.0156168546009575 0.0120553092708799 0.000923753939930952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0704960596866652 0.0158558971802782 0.0120325285972727 0.000942709812377776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711286101583191 0.0164929992668518 0.0121865379936164 0.00101573447931478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0730863414968192 0.0224883266654497 0.0125730709281881 0.00171825414797123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0780082529416736 0.0310454529931715 0.0138272521028996 0.0029790287066888 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0212535729061753 0.0104027642867223 0.000454048614719316 0.000128239601639191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0214057177099886 0.010462554596744 0.000460407646977116 0.000127810811314528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0215260823461001 0.0106081462753541 0.000463513104815403 0.000130421450273001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219259507086131 0.0110509229105753 0.000463350132227655 0.000135146509924325 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0224341817298934 0.0120965591015899 0.000480652955434495 0.000176444871965046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.023013067988187 0.0135306942275238 0.000525219858121109 0.00023904740334045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0212854841949649 0.0104601900884004 0.000469208123160725 0.000133339407499343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0214643064243018 0.0108552559672816 0.000465312806118188 0.000143831677452023 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.022036000147182 0.0119765856607266 0.000497792495643349 0.000196599944619386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0260998017525832 0.0184650536147292 0.000837099451491925 0.00064666743746705 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.032647677516963 0.0273568751507858 0.00156692059365972 0.00157855153583969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.027930987349708 0.0324849340260012 0.001571568515726 0.00437575624677558 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0280153222122723 0.0325510976540902 0.00154885328036862 0.00437837589610794 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0279732392491829 0.0326079197917521 0.00154531088976979 0.00438116406761811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0279622534233962 0.0324276513523167 0.00151975815451586 0.00432695349086062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0278333988070721 0.0325631947359716 0.00142657678009944 0.004343021724011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0279721161684656 0.0331169778874694 0.00138286771850418 0.00442741384339165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0279171799129342 0.032507190544417 0.00154306792272126 0.00437467073858566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0282485731351722 0.0325567336825984 0.00156348382965078 0.00439414008734079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0284115659234357 0.0326366407212262 0.00158271972108015 0.00439720196171875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0331456324205883 0.035024430616416 0.00214530943281953 0.00479903681604597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0385127341224913 0.0394474291218124 0.00301141331492211 0.00580901876154193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0620065566872435 0.0151594327386085 0.00922016746684922 0.000432672423258865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0620686738143962 0.0151023209308765 0.00923397776204017 0.000430329980882245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0622711932963791 0.0149863520714945 0.00931714788745233 0.000432661959981308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0623608785198843 0.0151159503982252 0.00933024937604871 0.000449011088414022 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0627751715000252 0.0156324274926817 0.00940867174444337 0.000491457022244759 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633443004379862 0.0165082163264491 0.00944932977099689 0.000564857106869097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621619659278088 0.0152799869705608 0.00930833443089285 0.00044852707495657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621371780066899 0.0154057080564359 0.00931435266423176 0.000459575000983225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0626411023755348 0.0160141212825655 0.00937766771674761 0.000510099574519813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0651027130655932 0.019139251899354 0.00976778062517379 0.000815366623197332 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0685057499184351 0.0254899651754975 0.0103762794505592 0.00153597327302874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219969752351504 0.028948281568907 0.000827562346814045 0.00264692110452056 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0220285021263211 0.0288154766068463 0.000828686287567236 0.00262082179382393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219337567338049 0.0287795643634639 0.000829677273873496 0.00262605218455637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219811652918352 0.0288137316234529 0.000833302634959913 0.00261903936348113 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228389996191934 0.0291013457273017 0.000881877041257681 0.00263943100884875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0235528097106408 0.0292228849823112 0.000937370328889029 0.00269229684004038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.022183981245703 0.02910669898576 0.000834138752173147 0.00263872502108747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0224183199444808 0.0291256612137418 0.000848844485819883 0.00263429751972399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229846605353027 0.0292846488333883 0.000885881464530867 0.00267030500885166 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0285480801075659 0.0322727260718914 0.00126920208774342 0.00301141334455643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.035823684071288 0.0380405316641255 0.00199939223592564 0.00386853404072972 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0288563439095007 0.0154515350454404 0.00142868276374401 0.000782610128416628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0288289428874929 0.0154971450345737 0.00143499801074355 0.000794584467875739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0288480690805402 0.0155786840252042 0.00143134352854878 0.000800508147994632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0287899263069244 0.0156962922597424 0.00142304962931821 0.000816878759525344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0290806437413866 0.0164703892974551 0.00144547425077243 0.000882227036347685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296297663662589 0.0176797266309642 0.00147026990768013 0.00101059444198635 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0287449799551166 0.0156519734015498 0.00143266739182237 0.000812134004532066 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0288420320462235 0.0160721690596902 0.00142407197105345 0.000851008634112752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0291977492852884 0.0168444874009756 0.00145097794675929 0.000947628412452222 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0332137776103575 0.0219631078241346 0.00166030253484246 0.00147272033411154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0393409743388923 0.0288238432890691 0.00229378343966196 0.00239921583197734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0201302692524282 0.0250991124474561 0.000548900685830876 0.00330616504331543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.020047152167697 0.0248235496669384 0.000549025714832904 0.00325756170030387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0199108063523926 0.0247044292499103 0.000544586501507839 0.00324274743301852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0197468654771345 0.024684986226868 0.000543048573650191 0.00322029444128904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0200370295179136 0.02470726814504 0.00055316263946451 0.0031760920749099 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0203136531993715 0.0249720588239652 0.00055076763721924 0.0031954199702339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0198808601016182 0.0249933007082022 0.000548907891816792 0.00332542104998822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0198785760511597 0.0251286794456646 0.000551714086036449 0.00335368345757534 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0200539274619216 0.025035280749907 0.000566051220194306 0.00333519536103876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229069299696671 0.0273110401148524 0.000779017441670491 0.00372464992015072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0267475748944682 0.0320381527703826 0.00117525197166427 0.00458075002962765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0158827128654682 0.0211031348348357 0.000495979908134501 0.00181858852431783 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.015944552640157 0.0211077423781933 0.000494122545493804 0.00180560444906243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.016033570060897 0.0211581638101046 0.000483349139994533 0.00180360355757037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0158926687896446 0.0211195814399468 0.000469197793224498 0.00179384431296867 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.016064427759518 0.0214572024756575 0.000466487238247527 0.00183356490591249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0169554592126981 0.0219819487184989 0.00048770428771348 0.00188520646900428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0158374358110785 0.021051651162725 0.0004930755913992 0.00181811724219942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0158229482138804 0.0212236305922515 0.000501970491419995 0.00185024730360003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0160681368948994 0.0212800265481767 0.000514519951480891 0.00183179818494165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0203441478827975 0.0232780679362121 0.000722508253066278 0.00198606392989197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0265806058079055 0.0275934939200247 0.00125909161423931 0.00250768325900356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0191815153261904 0.0134821325925972 0.000469261729135333 0.000561301580426639 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0192557865336765 0.0135208486192824 0.000473404537825914 0.000561054604166638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0193874722933899 0.0135535756267579 0.000478867490827765 0.000562778819861103 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0193473434875492 0.0136351015761708 0.000478231196279324 0.000571901617486451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0207819043467516 0.0142433764936723 0.000514777568139574 0.000588491567323463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0221306475833683 0.0155466959135619 0.000573692200460589 0.000663695496072207 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0193327022189263 0.0137038864884815 0.000475276547394397 0.000569508693369811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0196839790620173 0.0139625156198464 0.00048918783388306 0.00059474343708076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0204429510307186 0.0143683890208005 0.000534649774121951 0.000624647636263095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0259401306967657 0.0198325612765741 0.000948693509416421 0.00114143970034724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0332514623611684 0.0272194915189704 0.00172744466911696 0.00203538879628049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229497514952082 0.0328347935113866 0.000870614406698758 0.00362860177028685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229057304367095 0.0328062934553813 0.000869017123352663 0.00364230068102108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228532852561608 0.0329223145912204 0.000869574402380832 0.00366870445735081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228825117000093 0.0329112255523495 0.000876631187001622 0.00365692330099872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.023846550231074 0.0334132153345059 0.000909531698028155 0.00371552519303312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0248861593701496 0.0342528274479733 0.000953080129116192 0.00384950129828512 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0230056244400321 0.0328890732125156 0.000868408266752033 0.00360547225588535 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0231148129568225 0.0328580084961461 0.000868451587143017 0.00363353758865973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0238280881992283 0.0330055762722984 0.000918549830388605 0.00366393628049065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0284055228914264 0.0363580209871391 0.0012991995817319 0.00429190483645248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0349681174071605 0.0412748839201999 0.00200421458192667 0.00523734367170316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.029911466751658 0.00816605691247978 0.00113986118179943 9.8346366939927E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300365852201967 0.00815255600146522 0.00114229221935009 9.70325339638124E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300813147776368 0.00831199714414134 0.00113773416114168 0.000107818398972946 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300457131991897 0.00831427155338376 0.00114086981895637 0.000102050390970657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0304435649574438 0.00856085800650903 0.00117112511222071 0.000121695930868388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.03113521405606 0.00959533871282118 0.00121312265627547 0.000158942685281032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.030070152350546 0.00854502746847645 0.0011415152507061 0.00010488533112237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.030111762704282 0.00870953023744023 0.00115768740228778 0.000110831071262138 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.030669045132931 0.00926820017293841 0.00119151471188666 0.000131919618848163 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0329461600270064 0.0141019038946561 0.00136773925284558 0.00039935713682615 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0361634977204924 0.0206469817213727 0.00173289665651588 0.000946605811720864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0204027606730635 0.011612817705501 0.000394126963004638 0.000155504310094887 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0203584755622051 0.0115936660121155 0.000395139180644336 0.00015566118463185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0204247190420389 0.0116948674385656 0.000395870807357475 0.000159116217594825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0204185005053804 0.0118464516258406 0.000401887297482448 0.000163112460234986 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0210902273792597 0.0126340388638842 0.000438417722274016 0.000187573066995836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219740003877012 0.0140925819680448 0.000499532592739919 0.00024447874434242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0203827007010084 0.0117403339609089 0.000400050334056 0.000163560808588416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0204779132244668 0.0118870333545603 0.000406325122189175 0.000172762165300415 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0212455703559828 0.012965425919368 0.000429029911629366 0.000206983279497665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0253005076279109 0.0194782573176963 0.000831780418314714 0.000607554464665475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0332534872474946 0.0286609658545132 0.00161287657560469 0.001479058431473 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0270890662406852 0.0367538210040406 0.0013293694931937 0.00585401787198032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0269855803702586 0.0368093797124018 0.00132325462095752 0.00588647297046126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0268918946068465 0.0368371862343828 0.00132046637520181 0.00593902821381883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0270793191740564 0.0370636795803841 0.00132853944198693 0.00601331538486151 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0273121922906413 0.0371851598632756 0.00129698312019619 0.00603545438474975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0276745711145832 0.0376157158796924 0.00131369883787047 0.00609057895802911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.02731095587218 0.0368862797443894 0.00132444684065451 0.00586160840661865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0272505520280487 0.0368993373443849 0.00132967862212936 0.005893037621358 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0279143403041252 0.0372907254080809 0.00133757263516326 0.00592891908062609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0304524460944348 0.0390998314725776 0.00155653700383742 0.00624456114269652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0347037929273651 0.0425521815541909 0.00213646555606334 0.00699444041606828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0555402508894927 0.0147687723470244 0.00720402869237905 0.000401278141105396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0555392486513066 0.0149314194500625 0.00718666191907459 0.000407893967821736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0557036236125227 0.0150415182258819 0.00720593620076694 0.000410121700595923 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0558643098831555 0.0149632252458326 0.00722842225694306 0.000405989082752703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056360246498912 0.0150470866850268 0.00727499503103726 0.000415346666049538 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0572628917229557 0.0160189237012963 0.00742288152803249 0.000499358196422829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0555112227599139 0.014769499320502 0.00713436136170485 0.000410289337287038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.055812365165125 0.015002347332579 0.00719215728483927 0.000435622363257566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056466090773137 0.015036618444266 0.0072662146834925 0.000453824744124236 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0592881309853385 0.0194152191065223 0.00750140852745161 0.000799348167167666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0637155919200563 0.0262155780517147 0.00814115229531141 0.00165673162643842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0232088840712585 0.0279990579189052 0.000637840679705962 0.00215043410582779 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0230917241634958 0.0278956625901468 0.000632017745125336 0.002144001684691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0230320441789931 0.0278563134394549 0.000632790539534457 0.00215523698211723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229228166225562 0.0277761232851227 0.000630731459785014 0.00216392707395684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0234369535094492 0.0279469687150164 0.000665277787063452 0.00219415644293397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0244091273737217 0.0280759643742959 0.000732526307768066 0.00223175149963674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0233571704086848 0.0281391996074825 0.000640113911608458 0.00214612038169756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0235800156258664 0.0282049939732044 0.000647386964348941 0.00215734982998817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0239326614127947 0.0283033514042106 0.000686237262830529 0.00222036167817822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0282944042125379 0.0311591568521222 0.00108516759207108 0.00273487566645663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.035783666183054 0.0373482054274505 0.00200689144337676 0.00375828680949758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0254668705545609 0.0160521951567935 0.00108730806601663 0.000832399324058263 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0255025490454263 0.016061469624416 0.00108960735494278 0.00082873636490003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0255846724716715 0.0160368581308135 0.00109809835860684 0.000817042893281221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0254737007689434 0.0159477491316852 0.00111181321055252 0.000817989312435947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0258078715641848 0.0163881739948621 0.00112129121395771 0.00085503378422545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0268364459136525 0.0172837707329082 0.00117829299505016 0.000907707992108343 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0254585987907341 0.0161681899577212 0.00110591279784292 0.000846007564921729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0253798695302486 0.0161931729937488 0.00111092627395129 0.000864600664448589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0257377257720026 0.0171419374371589 0.00114010900499019 0.00099833803308364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0298282597567914 0.0232140962067517 0.00141786495896032 0.0017791274554969 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0368158854697046 0.0307530265705419 0.002052750643832 0.00292068141401424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0177539703879754 0.0233173207811043 0.000356828397344754 0.00298054043324886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0177093394185814 0.0231849537144348 0.000360647499382675 0.00296763826958214 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0175943838667898 0.0230022129514905 0.000358236597549079 0.00293744849292277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0177012507201173 0.0229883837130441 0.000349561980117316 0.00289830911716237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0173985541488153 0.0228354472719368 0.000339266594562264 0.00282779060173868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0181731906432435 0.0236524635647309 0.000362320879674547 0.00285770779796065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0176821925556251 0.0230441762565405 0.000358229709248418 0.00290513295872449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0179218364573646 0.0231537444363892 0.000373434810917346 0.00290861127000184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.018220760333346 0.0230191605484446 0.000399416241417733 0.00284039250601197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.021833555305396 0.0250434503661262 0.000674076489889168 0.00276599184063271 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0272769021944613 0.0287183921168172 0.00119603277311753 0.00300895989663824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0197607431303737 0.0172962687878234 0.00074611508636021 0.000964854713648932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0197469938164839 0.0172087276534655 0.00075056170036372 0.000956684333833834 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.019710805146008 0.0170614964734777 0.000749025633044431 0.000937930091644718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0196819111265424 0.0171291594763683 0.000746170686487551 0.000951621856339847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0199840702388117 0.017425616396594 0.000761932161077856 0.000969622474519112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0209648019450447 0.0182914823176922 0.000801666298008701 0.00103436112060951 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.01975813243569 0.0173167424872138 0.000755902311606151 0.000964891243117656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0200223988831832 0.0174229024969332 0.000781223757546711 0.000973087701361009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0204740433482853 0.017541477257479 0.000890711052238917 0.00100254928927786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0256854211987214 0.0208845034376362 0.00132828924948386 0.00128696505404553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0317097817216092 0.0259640562604134 0.00207653884548684 0.00196813711235731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0195383213384832 0.0139464823316414 0.000381629230763295 0.000728859849107004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0195592514754285 0.0138486407220886 0.000386991758871736 0.000720064234892042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0196313035101615 0.0138105206503993 0.000392192683247985 0.000714147236307771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0195577749999016 0.0137268001914385 0.000401731779055544 0.000703951413058205 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.020515057709834 0.0146333023737666 0.000425046639812138 0.00072069419268346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0216662275304113 0.0159512177483775 0.000471363643843665 0.000812510215331474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0196218070023738 0.0138519639462705 0.000396684988085867 0.000721355526656679 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0200758464250562 0.0139751770600702 0.000415264962706256 0.000710633366597707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0203025569964415 0.0147607701098578 0.000443258695846805 0.000780259886633076 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0255237866659863 0.0204948935168784 0.000804214701312832 0.00123353187348823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0325263030283312 0.0283088438575674 0.00157356254443777 0.0021902829723511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228706132485196 0.0319660897557723 0.000715718705705533 0.00321505632194168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228179792978895 0.0319364839220226 0.000714704329535193 0.00322294516431995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228466673466839 0.031937812949985 0.0007102635125272 0.00322394512841894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228649212094742 0.0319361012255566 0.000708744870236736 0.003228737112977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0233438892509124 0.0322997883931725 0.000745047481827032 0.00329665931635613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0240745252516574 0.0327358094136446 0.000796554170922587 0.00339121903790291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.022966654408929 0.0317674185807588 0.000723759524895693 0.00319016165695001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.023115881121738 0.031564316305049 0.000725814466279164 0.00317056361298041 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0239883986341787 0.0315963256887565 0.000756208175782937 0.00315892337510596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0287122423338136 0.0345326254612943 0.00112789537019314 0.0036001409474709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352122334413472 0.0398784510462534 0.00190959322374342 0.00461385367527185 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0277574703645284 0.0086201323848801 0.000919976053732336 8.86074932543707E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0276944853971149 0.00869203177978916 0.000915676498192658 9.10233310477768E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0277101555618405 0.00869021563283024 0.000920494488643565 9.17517610853862E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0277564774014412 0.00874835669337299 0.000923013048860975 9.16673919658446E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0281661016638721 0.00948710594845362 0.000921094127700882 0.000128522961836721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0291796715306542 0.0104137007504169 0.000988272150528526 0.000172626810868891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0276839903074889 0.00870303820333209 0.000915645764331569 9.06917259639198E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0278026212569907 0.00858258095533051 0.000918759085637096 8.82171121030148E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0284887122139523 0.00953973595889165 0.000929976918150679 0.00012393663352753 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0326656116018141 0.0143546500910715 0.00125189386440801 0.000373560936277813 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0376434549889807 0.0215013823248412 0.00184466591138706 0.0010191518260144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0187874215793944 0.0107654013171513 0.000401982483906182 0.000154580667656476 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0187364812515036 0.0106912179543204 0.000407661499734605 0.000155258726382431 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0187666681976198 0.0108130042267899 0.00040777026785132 0.000156922296829547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0190289748935405 0.0110948133877546 0.000407527081894152 0.000157681536975447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0198400601454999 0.0121403832961984 0.000453660094705303 0.000193327304565812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0207198626011078 0.0136712820323435 0.00052543678169728 0.00026202222768613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0189207240283249 0.0107821493529234 0.000425873480970084 0.000157982031441555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.019240157591876 0.010790038563321 0.000431112508528079 0.000154339076811154 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0201457376876683 0.01179197904612 0.000485823863214213 0.000189800767742106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0255561150722022 0.0184155816893316 0.000903921063877903 0.000559560173549891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0334595587273112 0.027285112033478 0.00173981177984998 0.00141395522291413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0263024819219407 0.0366101060186484 0.00122112239528813 0.00578877614206053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0262447305697071 0.0366741462527407 0.00120889919826348 0.0057727278737879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0263102847217922 0.0367728113732667 0.00121089140630747 0.00582141974744329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0263805529233187 0.036874606396915 0.00121720268824359 0.00584919275054004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0269186288962253 0.0375899183444052 0.00124766444097641 0.00607473290781169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0277521481685165 0.0386805997970207 0.00126467444465854 0.00639022717905393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0265956976727149 0.0365265400017408 0.00123063581416805 0.0057382803799987 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.026809941188627 0.0361887990526012 0.00124422938906034 0.00565748223544583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0276884479272718 0.0363718110890756 0.00129177095109379 0.0056533469048137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0309529266374835 0.0383909577017093 0.00144480377509 0.00601261604149645 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0354525869016458 0.0420737874300958 0.00187624482860118 0.00692446478777161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556987843998741 0.0143733543912493 0.00721754203500344 0.000352841058417073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0557223892774205 0.0144639094666634 0.00721461306088129 0.000357326854717383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556606957683443 0.0144911066564433 0.00721245285270168 0.000358266557665742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556379460273075 0.0145968107807917 0.00717102079295649 0.000365636161746092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0563485150209972 0.01516321063861 0.00728264559999329 0.000412231845827755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0568478067206984 0.0160279248880293 0.00728407010214925 0.000486772507690987 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0557925986562468 0.0143860551182685 0.0072494103996755 0.000358805000520156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559182543835862 0.0148058020176062 0.00725076676799416 0.000387039225989716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0560792868506243 0.0152104777165594 0.00723323542922598 0.000430760466301878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0593814761837458 0.0205048760923881 0.00769901170537052 0.000873278639946305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0637514762203274 0.0286175582875832 0.00841576482482252 0.0018751226216952 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.023284929929745 0.0280996949244783 0.000650305838925428 0.00220275558734511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0232857797049163 0.0279463459980239 0.000644846518891162 0.00220006367229775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0233744439633185 0.0280570520943588 0.000647387512876695 0.00220335527940197 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0232981921689012 0.028035303444183 0.000664246225113299 0.00222281306543636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0237868093592058 0.0279249214500923 0.000701229431390699 0.00221506323651894 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0250086627438604 0.028474870923926 0.000776576632091166 0.00229542626268262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0234802501564285 0.0281186539031649 0.000648114674452021 0.00219649329342907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0233960352512335 0.0281941434610938 0.000655059188048246 0.00222833651336839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.023863295139272 0.0288117762943107 0.000679318201217453 0.00231129251053182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.028967833490601 0.0328490416494108 0.00108533767619307 0.00289388934955879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0359026577241077 0.03939114132906 0.00199197933143634 0.00413097412138915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0253016633694217 0.0161555955364917 0.00105218290057904 0.000860208490029402 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.025257894904872 0.0160573863788725 0.00104068310456031 0.000856529227250033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0252468033953175 0.0160361533974533 0.00102730673109653 0.00086084490448801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0253296274395681 0.0161021663849162 0.00103171885510163 0.000863675710569206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0262972664997076 0.0164112594617617 0.00108021175416344 0.000867243636765974 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271911805775946 0.01762697216009 0.0011416158807196 0.000971028856543356 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0252246321328672 0.016045244588129 0.00105812028182274 0.000861186621811632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0254295336047253 0.0159084592436823 0.00106275336149513 0.000847423995821657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0261930838746737 0.0162555906962406 0.00109416313151999 0.000852181582891336 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0308175567279669 0.0205151314448188 0.00144365571766864 0.00119926173187047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0370944748514943 0.0277344811310957 0.00207230026507279 0.00203193708226875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0175825809847733 0.0231345872722078 0.000341436977051595 0.00268416506164095 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0173952682555813 0.023151591769006 0.000334235012742044 0.00269449072652961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0174149859471971 0.0231768470243826 0.000328759933239227 0.00270225689227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0173898918251454 0.023450694003931 0.000331279178307389 0.0027540516800508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0177749663240511 0.0240071683199446 0.000333486281900087 0.00286236552633061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0182318486802655 0.0251200068640805 0.000358292172931585 0.00300327263664603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0176313275994065 0.0228961421903377 0.00034978868131859 0.00265707824617309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0181142608647597 0.0229224573015153 0.000376591481495439 0.00260259520788143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.018657437934576 0.0227723500770107 0.00039910656969287 0.00251770934505571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0220173761986824 0.0242441418811282 0.000692496338062603 0.00243534866089111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0275187821379735 0.0290870538587372 0.00123412091619434 0.00294768803495554 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0182998882778497 0.0166875860175512 0.000700889864228152 0.0009131654338496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0183707214922677 0.0166802582994098 0.000696826738097195 0.000906555738682224 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0183450340214409 0.0165779642643482 0.000688619089431421 0.000903392366022471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.018338744756913 0.0164863851671098 0.000689911186672378 0.000899622432299522 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0184677646376038 0.0168564293744384 0.000680336050518939 0.000938569164173597 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0187960212126886 0.0172661798879815 0.000700413367326789 0.00100665746955142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0183984403179427 0.0166145068891989 0.000693528775129253 0.000899641403585575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0185124429368306 0.016578533305803 0.000718412620848556 0.000893159713970628 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0194689219987307 0.0169330211264436 0.000763299892945475 0.000927391851092227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0237489659441808 0.0203556180884086 0.00106582811517107 0.0012396213505542 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0303496951031292 0.0256562135206086 0.00170213850769545 0.00186180595182898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0194677055768251 0.014585326555177 0.000364498840665121 0.000744085947491663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.01957488040644 0.0144129263671573 0.000368594830282006 0.000717498473846088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0195106433688524 0.0143920299338136 0.000371094456828981 0.00071384017801396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0193917464027721 0.0145671089774908 0.00036615145995918 0.000732314618768901 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0198860547412279 0.015057077640365 0.000392647937888068 0.000765410542188544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0210707772117497 0.0164732274728209 0.000453808166724666 0.000875768233053403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0193121220557039 0.0146548370588135 0.000360890603780236 0.000740845890424932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0191961497560852 0.014902086985357 0.000359489618133048 0.000755471517187029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0196155406499508 0.0156162730291923 0.000369548279224196 0.000814300993201176 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0241363535830871 0.0213984992029588 0.000672981940599942 0.00137113065968434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0309057855388758 0.029314162760539 0.001418544974486 0.00243144361689027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0220303093852166 0.0323437330240569 0.000737983899507088 0.0033713100448828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0220024569981606 0.0323685221501221 0.000736874518341722 0.0033747107278847 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219915784470658 0.0324614997206753 0.000738963092516546 0.00338473691309456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.022128818917084 0.0324161961832623 0.000749324157026652 0.00334841766876111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0224113147788712 0.0325153973094615 0.000784725944763449 0.00341548160354583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0234889188780604 0.032807634262289 0.000856137187993458 0.00347093813715648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0224421503524132 0.0325659367625541 0.000752018641991116 0.00341124468713091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0227888980809691 0.032582033967476 0.000780892303496449 0.00340214051866391 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0232977395292253 0.03303875071715 0.000812679181072806 0.00349676906918198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0278508225184579 0.0361353502548365 0.0012293853899405 0.00424471076212799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.034892819370749 0.0418541547808646 0.00203964434301729 0.00542339529492545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.027249678929226 0.00759811519976152 0.000921379126059722 7.46242956297125E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0272420631688979 0.00751321812077074 0.000922543171051577 7.54895804994565E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271758045570442 0.00746043898886276 0.000916581710518948 7.74347325847312E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0270239637871823 0.0074939333470211 0.000913785857164309 8.00128561208036E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0275616331475 0.0079173212389657 0.00096153394796352 0.000104162160975181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0280024562564951 0.00953656212719444 0.0010112022387472 0.000172941905527617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271474742234774 0.00739749957093385 0.000906378470081236 7.26339001166857E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271148714199882 0.00745771891611806 0.00090641871330589 7.68184707819591E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271265868537794 0.00782521048995942 0.000931010018699223 9.87727930054904E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300976717476331 0.0135874149328089 0.0011658608509855 0.000380269204356567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344425050609653 0.0209580058847075 0.00162906535616025 0.00103571346038766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0214612483096065 0.0119487628237584 0.00148375723383615 0.000553095193992305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0215277638790142 0.0118240202710232 0.00147016487134938 0.000534927312336194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0215358410066163 0.0118378549444114 0.00144351388399723 0.000529482647869491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0215200204029279 0.0117880783031409 0.00142938450280473 0.000529719385524464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0234262984694967 0.013575502801257 0.00180311782016902 0.000658451372553476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.027837586420821 0.016029835091125 0.00354900212400805 0.000859296821916448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0218922896158312 0.0120469583857812 0.0015516346028018 0.000576865356498264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219203527181547 0.012470403079558 0.00159091858686686 0.000632204442532211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0231378729399021 0.0134886482461254 0.00185749071141409 0.000736775608828476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0294451088559862 0.021842536651787 0.00304008146405545 0.00156244904873344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0370740791533309 0.0309105313510771 0.0042976382979965 0.00282671517673598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0793685374384275 0.0761323517281342 0.030109220675721 0.0349040570714382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0794722212061471 0.0764835820518771 0.030127628991172 0.0351653086045829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0793009654672372 0.0766652784098441 0.0301453850608694 0.0353805154107937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0790306194516279 0.0769967932486229 0.029915974250953 0.035710728376237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0785871670462888 0.076956254238159 0.0289491791253239 0.0353480257773266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.077552974652988 0.0747282030554374 0.0278201323936697 0.0327939752484361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0795834107073121 0.0770750126192526 0.0305687327560514 0.0361814118111757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0794431819250072 0.077771582683288 0.0305544263271084 0.0371598297780166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0802314730483299 0.0791493115972997 0.0311237057047653 0.038945100222197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0800322103644762 0.0810739277343795 0.0315098666570824 0.0423433063374917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0816729115691592 0.0844213480684285 0.0287502640486131 0.0451752123387107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0646891709679963 0.0351214474444931 0.0107196001977718 0.00830265396002596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0647974801912606 0.0353198483034225 0.0107664884629187 0.00838288837828888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0649405762407613 0.0353469736399462 0.0108234440819306 0.0084552953238645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0651441155126737 0.0356849512183253 0.0109095217935842 0.00874503475577628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.065546747686185 0.0364506891790639 0.0110525907267853 0.00916270779978319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0668156849198186 0.0381962423485772 0.0113343702338445 0.00981495682294161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0644125486308221 0.0350400612441666 0.0106088613468067 0.00836138815954264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0644941867898288 0.0354308081788397 0.0106115091859689 0.00853179985114485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0651165173403067 0.0376614141670523 0.0107345977522722 0.00901577967309566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0686877124914494 0.0436035247042287 0.0116869523781687 0.0107224978319999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0745016307830546 0.0546980077129309 0.0136426478692272 0.015335337264817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0363681830508201 0.0390754488163239 0.00276394051960532 0.00589353701542986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0361899835123493 0.0389924829166687 0.00272839993494202 0.00586429217944619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.036110361124682 0.0388800821073325 0.00269529039612452 0.00582721048646793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0359960997163074 0.0388774230978279 0.00264500861676246 0.00582086991517653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0356687839106448 0.0392117081378508 0.00255654122649174 0.00579918717732516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0359152481359698 0.0396241020256019 0.00247469284103205 0.00581073532422985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0363884643563501 0.0387014846374349 0.0028069848359001 0.00579968027073113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.036744451255579 0.0389494014269314 0.00286745581245109 0.00579631640097201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0367681875528404 0.0389099743309221 0.0029094047957393 0.00582096877954322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0392555893573242 0.0412897096324201 0.00324196800670959 0.00630838962307768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0457047561153958 0.0464284585956529 0.00418819742014899 0.00729433047778106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0527713815198731 0.0438888672640802 0.0099090729587319 0.0127759690384714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0527505084367701 0.0443992550879838 0.00989100566691587 0.0131577780446971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0528822552468007 0.0448196584042259 0.00990999927544269 0.0134817677757175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0528849750608721 0.0455458315937888 0.00984803817493918 0.014029111149215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0530202767055473 0.0470648819470755 0.00966743740756484 0.0151195979016067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0532946553055458 0.0477871544534522 0.00932826610861233 0.0153649730706734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0528794710655579 0.0446237126145359 0.00997822793979229 0.0133422553892809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0530495772845964 0.0442041566683546 0.00999851789572778 0.0129001466438038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0533346704860539 0.0431770326824882 0.00997359725540423 0.0118750916449909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0594109328941827 0.0435039234694203 0.0106349648831351 0.0100803516608757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0622988510480907 0.0476541377338313 0.00955744485795723 0.0105230172647207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0443599642972151 0.0420125057879867 0.00508765083083188 0.0123523429994085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0441999975025468 0.0419320563679385 0.00503013265496985 0.012264546383352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0440876302223468 0.0417313771944432 0.00501517105618059 0.012116821582122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0442817213553491 0.0418154237720199 0.00506739903696274 0.0120000965267651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0446070259271707 0.040871128360453 0.00535585720061982 0.0109548280198411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464452331476754 0.0406156822571396 0.00605805147822894 0.0100949244356733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0454117568877874 0.041949744179617 0.00539909830913688 0.0121901018576016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0460108134497752 0.0417807354698687 0.0056447389795421 0.0119869849850364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0469288219636888 0.0424286819543405 0.00606440392439762 0.0119629585854308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0518031374850541 0.0454447736046441 0.00775062884965165 0.0120592268935582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0601664042675259 0.0512613502610198 0.00965085191566935 0.0125390615943449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0497723496267471 0.0393390807740787 0.00926788049200027 0.00838907285852843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0495275832210997 0.0392985983621349 0.0091113570659742 0.00837560723854831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0493498947351219 0.0393191820907598 0.00907677272400776 0.00841064373895207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492526114154972 0.0393067772815423 0.00914912629576521 0.0083677132060784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0500124992319372 0.0393223464068714 0.00938438620465621 0.00840622736020141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0512396608736308 0.0395536300220769 0.00958123431552827 0.00858466463836979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0476479663496342 0.0392362217021312 0.00838412976854902 0.00835754185505686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0472403814448485 0.0395013301225026 0.00842999473214958 0.00842602880772315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0476590971975656 0.0394882302425688 0.00848391042489823 0.00842730582174636 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0511873024100676 0.0413963495039091 0.00956285698084339 0.00898641467187427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553260354107264 0.0474382266411264 0.00993617750242615 0.0109481538729998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0502692808357312 0.0420590320188527 0.00830253852841846 0.0129052414253244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0500140908770483 0.042093158279616 0.00830436870043386 0.0129111826346958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0496528747081475 0.0421901261491955 0.00834937139817071 0.0129545015390992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0501781799347698 0.0420956690074616 0.00845977526920293 0.0128486132107144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0504548767609729 0.0410114694527093 0.00865938626273477 0.0116170174500176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0506233445925848 0.0401775840134586 0.00855853410887559 0.010563883360273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0513107165742088 0.0425938439231561 0.00880617527272019 0.0131164531107737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0519629498476497 0.0428395172930612 0.00921471591702105 0.0132369660474954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0532521176576937 0.0435761163865614 0.0097325926233459 0.0134337844677309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0618422267344639 0.048977268453042 0.0136456171670436 0.0151563403191008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0718024321802197 0.0567769744887363 0.0171287384688019 0.017682657716283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0430929276358835 0.0471884758214168 0.00456325139070944 0.0105443416465834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0432581003063365 0.0471597272119321 0.00456885149458511 0.0104578887178492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0430791916874106 0.0470344647330444 0.00452763104218309 0.0102993904917709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0430423558410968 0.0468318822682861 0.00453379096181048 0.0100687426503142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0429650970213598 0.04666468167407 0.0047135728980489 0.00953876658497048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.042997625632081 0.0469715762542283 0.00440004596696635 0.00953283118381219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0433190463090678 0.0464791480518653 0.00456226024746441 0.00980656307126336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0434296215816884 0.0455747467508221 0.00455618535645928 0.00879824262421578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0441733604929616 0.0450878450686163 0.0046849104593592 0.00842256562382656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0480605030811234 0.0443376730495769 0.00537327908402971 0.00698912141434527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0547735294339864 0.0492706639053028 0.00669563602106568 0.00781003652051378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.038072049285596 0.0236579413731797 0.00247636307014197 0.00431141345345099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0378791952083197 0.023646748944639 0.00244667843299327 0.00431263511518196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0377698321216918 0.0238561828279039 0.00244390876938954 0.004354909852611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0372338236909984 0.0234618427780921 0.00237927926315179 0.00422159386219756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0365760993403879 0.0244107704532613 0.00245618354690761 0.00423791105251168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.037757471135428 0.024798046996528 0.00274747729694159 0.00416641471406926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.03807073657151 0.0237433818643402 0.00245242407345762 0.00435088952197525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0385043043779724 0.0237948629990327 0.00251016382191803 0.00442767731862432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0386064909434297 0.0238942685961604 0.00255257542182308 0.00439637901166481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0446702112422142 0.0271559413682259 0.00385353896744617 0.00394947546658015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0505505435199626 0.0362698445515154 0.00513151724129822 0.00578958261502516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0402849673415593 0.0463791010716805 0.000724249604429188 0.00125649644575418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0400978172664243 0.0464254368595164 0.000742611983739698 0.00129750138159364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0403422529357747 0.0468497532057788 0.000757891335486891 0.00132627386574423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0408086417805865 0.0475586866125642 0.000790632297303387 0.00136867421499531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409661840580142 0.0469808630518996 0.00101201639513241 0.00153513749367253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.041672619327832 0.0489983984207752 0.00130806186119856 0.00212584737395276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.040854159539986 0.0466023102324735 0.000775318819329989 0.00125680407046884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409771854779381 0.0468055149686428 0.000832802157070763 0.00133650394609723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0400156833107805 0.0459589077561984 0.000860839557000492 0.00134092898079555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0468286188415705 0.0551503121895051 0.00220201118974684 0.00361963194756438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0600680235697857 0.0722030005227316 0.00510123882331206 0.00804803792975115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.03126532942025 0.027511720401631 0.000917831179003044 0.00167617722952261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0315406201747419 0.0278448166273694 0.000950709370413987 0.00178875070877948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0313121341370312 0.0276234150188105 0.00092392668892956 0.00181234113967062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0318356549297304 0.0282975814713542 0.000949503654477419 0.00196933385534663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0325825052722679 0.0301522565977767 0.00118159330046304 0.00238055992801077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0334279991420675 0.0314666571541002 0.00131383331015256 0.00275176146911428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0332001163202751 0.0277496841620396 0.00104337465406808 0.00150670659090138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0338111136041413 0.0282863866166785 0.00109846291773015 0.0015644223773442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.036478457633215 0.0300198940718158 0.00152817137546684 0.0020309085412995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0507054134894498 0.0369235181398052 0.00489779275447236 0.00327990814181952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0632164624315337 0.0492327930813462 0.00901891217312949 0.00691328971539806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0264117765903477 0.0304483836669091 0.00050700223742101 0.0002255937850135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0263777541090793 0.0302421060810581 0.00051583564519807 0.000227819193946619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0268929826517136 0.0305053402163743 0.000519029952088409 0.000229018991483056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0269633626994789 0.0302547472490723 0.000567383091021011 0.000246086282050631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0278067832741597 0.0315966916759463 0.00071979981905239 0.000356854179732149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296090690544859 0.0326208328766915 0.000965698681512712 0.000534234737772638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0261551417689197 0.0304393149331146 0.000459695061261132 0.000237342746301326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0256586536279077 0.0307798315635227 0.000417960160915988 0.00029170815587605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0255677969828892 0.0316482194745035 0.00040769182363253 0.000451580044209364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0293185747734755 0.03759827137905 0.00103033932855296 0.00188686824931028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0381834482050172 0.0495132808914916 0.00264081617188697 0.00496851087427987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571196117360371 0.0459953722400812 0.00519481506025802 0.00485218171313954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0569444681376895 0.0457441666970548 0.00512236405910168 0.00475089477701651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571746656746945 0.0460857363530381 0.00514637423103676 0.00483579106535073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0572280345890265 0.0460546811401809 0.00513419178545186 0.00485173030957149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056859095791158 0.0469091781922581 0.00497312802084112 0.00510083964822832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0583082627970126 0.0474939635086499 0.00558258597136511 0.00528975381622059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0569454458603675 0.0457172741537323 0.00532205961803296 0.00487247397829922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0575864554091535 0.0459674119573486 0.00540583968061794 0.00481779703481449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0588756896966357 0.0458820950547891 0.00569416269233699 0.00452821122110784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0677766680900152 0.0517883055956973 0.00771027377515007 0.00506297091423926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0821192915346987 0.06790592378269 0.0111020142191914 0.00915479338322102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0388023716740961 0.0323999080338061 0.00265563321790223 0.00320183420480539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0389151529143362 0.0324463678598037 0.00263601087273704 0.00322200179539638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0391184580394069 0.0328840203132159 0.00265294606743308 0.00337956778050292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0391585781821043 0.0333508245195223 0.00266636344248808 0.00352946038612355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0392522729092338 0.0360820883631447 0.00266307337711324 0.00431457459935995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0399302966992832 0.0381133611105096 0.00286689328806075 0.00500108457892848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0391550698513774 0.0332805051314656 0.00258660866640157 0.00338294488627646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0387322475796954 0.0336814948390512 0.00253924017646428 0.00345008674456529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0393150588202561 0.0341909124297377 0.00278740090466588 0.00358941339930389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0468522513499756 0.042664382443803 0.00463135192512323 0.00594619195919083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0589488640659482 0.0506699336896572 0.00804241329438867 0.00737787662676151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0427634312330833 0.0379392912951646 0.00249272759399541 0.00305262695100035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0423994701906475 0.0376723226036259 0.0024690556559741 0.00301612092303001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0425227524450412 0.0374796498465632 0.00252963558710951 0.00299550692443295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.042850932744768 0.0380729936811491 0.00249266110356732 0.00303337690680546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0428605594475376 0.0399755569132893 0.00252773755731863 0.00329275563949897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.044615034418209 0.0416705345880682 0.00286469665744697 0.00355361005176671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0429954284170283 0.0374529532232276 0.00260130188249738 0.00296419421520357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0427468907791314 0.0373292787425923 0.00273570426147163 0.00305958171482524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0431390064032975 0.0379867567489471 0.00278893160476229 0.00309135213779871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0499661545308666 0.0462257641747863 0.00374634272996588 0.00482186229985291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0605621756972404 0.0586465265002203 0.00606018777181519 0.00835745268496357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0450073593485782 0.0417812320699265 0.00116563407595226 0.00286923510422827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0449481250117646 0.0414328729661776 0.00120479079496356 0.00284480995126522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0447547508737322 0.0412943116631704 0.00118554195832812 0.00280076126048782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0450437833926168 0.0414564063855885 0.00120500041463975 0.00274333020511487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0446879303424542 0.0414085623925496 0.00137843050591699 0.0029023018200675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0462642032437612 0.0435491373546741 0.0017482044636019 0.00346323042513319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0449008621073145 0.0412777933534932 0.00116761341438901 0.00275956977839946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.044539114325829 0.0406638239991943 0.00118600353918801 0.00262057123777699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.04414926167742 0.0404411905312355 0.00137862320532928 0.00269056647328888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0489435776522435 0.0480908510824635 0.00255621705838276 0.00392656153224044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0601153837537263 0.0611534308436248 0.00571774760881542 0.00733311771706873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0574018117797408 0.0468593820956374 0.0033593443550455 0.0040205962710126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0568121426494978 0.0464013232169213 0.00333886107545848 0.00399584994938604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571036146703161 0.0467935012326206 0.00333037732111266 0.00402495466954967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0574177034380006 0.0468918184435335 0.00339669678930383 0.00405066621874907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0576089777760525 0.0471180101723416 0.0037885494346508 0.0043197864888028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0606437785430389 0.0485259356262575 0.00445620581263656 0.00454803853330713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0572964326435863 0.0470988663008429 0.00333412868930023 0.00400384756733941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0573326001247761 0.0473414327154717 0.00331956146957701 0.00395525261299909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556491783972614 0.0475534103377323 0.003277514220902 0.00416643312024703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0636730535053616 0.0555822694508262 0.00576616896374983 0.00612795404186391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.081499231990552 0.0734912915464525 0.0116909787407028 0.0119852131430848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0570105828931835 0.0418002476541963 0.00402536428237837 0.00392084760494547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0570085413847598 0.0417246625498641 0.00403691265060954 0.00391312706523711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0574815505602451 0.0418743516586643 0.00403493960237477 0.00385091028830785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0577724043269715 0.0422747255752938 0.00415496852936183 0.00398445615641837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0582885987166756 0.0431982547891228 0.0044434404849996 0.00441561547401034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0611491943682647 0.0460219027324385 0.00504019798574739 0.00513252779245948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0569317956280126 0.0417450353630912 0.00404199408875899 0.00397216228729898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0572438484885414 0.0423418882410464 0.00390296630195841 0.00396652087019793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559486195853629 0.0429439000916243 0.00376035845576876 0.00436576499312027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0615975017363395 0.0533347333027452 0.00509973906459346 0.00689998374305976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0761729336053495 0.0709479981180707 0.00979095718749251 0.0127375116614614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0601503140624515 0.028929386288697 0.00512036999475416 0.000510762758655358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0601184034920904 0.0290599671909953 0.00508945899873885 0.000505378736826635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0601232002695092 0.0291685967949736 0.00512803396030899 0.000521045360384919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0595589194513685 0.02949118511508 0.00501646950177576 0.000525655129314964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0575884506568082 0.0299673484490339 0.00476782744651616 0.000679046069829344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0573830786384387 0.032211070369427 0.00469175308918146 0.000983130273200066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0604880067139128 0.0292582192802699 0.00519899231122759 0.00046326277370657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0600653868487195 0.0292958331305775 0.00528573518345143 0.000540204895951089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0609015203277987 0.0297980263018991 0.00565584082113735 0.000630676464495133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0665043303066803 0.0363214384255941 0.00784068046481126 0.00141692354526786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0748862810956233 0.0484780553902899 0.0102629624160531 0.00339328786465083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0414946687363704 0.048681572098684 0.000913035697701112 0.00145985081945204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409117862980062 0.0481217170178002 0.000909337651062901 0.00147628717412436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0407282490694087 0.0479467452050039 0.00092318374795929 0.00150981093475183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0407598562823014 0.047921384401435 0.000936698476453111 0.00153020414001451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.040864733473169 0.0497883602771004 0.000983431454391405 0.00190073150631773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.039962976234844 0.0508585153183081 0.00116906140814744 0.00237511585804754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0417077747609197 0.0488319844694646 0.000899258961909395 0.00142753437332307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0403001250188169 0.047793497031393 0.000877303227032573 0.00147432554004274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0397827392817444 0.0482523190396644 0.00080939114431816 0.00157111387396564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0435695924067494 0.0544668667407951 0.00180742991989906 0.00293272713093623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0592252636296033 0.0685192794317138 0.00602362453964358 0.00612823589989141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0306051597855401 0.0271884802364174 0.000840145816946846 0.00170431296001778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0303933322456521 0.0272395745199866 0.000835795407525362 0.00174244310373105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0301846699357788 0.027128123303899 0.000810775478777034 0.00175382279236864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0295406853540553 0.0271289023789979 0.000785212100107045 0.00182273145598424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0293188468520099 0.0277188814002221 0.000857757717037116 0.00201638040195773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300254562351382 0.0293074783317258 0.00101227122775975 0.00236682318290542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300144566698595 0.0273486481371299 0.000791263318475521 0.00174200903011376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0286039565641955 0.027674952209143 0.000661793139298376 0.00189481963793363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0260309872178084 0.0282705777568166 0.000652675736156614 0.00217073475340359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.030187078864902 0.0339262146909317 0.00176754589876172 0.00388823788222534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0412956308456136 0.0454820764767177 0.00399909451086626 0.00677308447059162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.028886595705667 0.0328250761721467 0.000421745436922987 0.000233168563358189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0290820776362244 0.0330979165786735 0.000397580681898766 0.000230429936413109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0287676157583196 0.0330626658683093 0.000387159022482619 0.00023199847034469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0289231999713339 0.0333637261299333 0.000399533589052686 0.000249541806696792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0292508561320587 0.0347814199218745 0.000454966363692752 0.000361674688037185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0298005069759632 0.035643220685157 0.000600242731174002 0.000620516718444179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0291660455787234 0.0337826215910617 0.000396939483008091 0.000258306334348588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0294602134713936 0.034412394028662 0.000409459025157219 0.000321303539730442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296153689757588 0.035789210194652 0.000509485998884355 0.000584626237970009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.033522518069167 0.0456722678562096 0.00133733316798012 0.00281191843897484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0436994661518198 0.0620184846060175 0.0032813973743168 0.00725583740713357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0635766408135542 0.0474704236863012 0.00616067209435759 0.00462265278244209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0630757027739214 0.0469938305758359 0.00620081087526687 0.00462036761418981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0639044413841406 0.0474718797568946 0.00623160294477841 0.00462349755929837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.06314536038924 0.0467839746341847 0.00612842468183518 0.00453533906561536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0649659065479265 0.0466775183121593 0.00650731858117449 0.00445418596013849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0661860102322575 0.0477798233133097 0.00653513263936214 0.0045344472785173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0632641745278537 0.0472906418375068 0.00614994785331878 0.00465123935933612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0637444937919421 0.0473941223604898 0.00656591009468866 0.00469447274039404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0645980201284531 0.0484175314632593 0.00677887355831919 0.00504720493342703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0692932327777945 0.0575085688536816 0.00841788707637938 0.00824462026148189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.082467795356524 0.0759311100693107 0.0114913658688324 0.0148554077001899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0404559619684396 0.0353481966316261 0.00260428297468845 0.00385881673516961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0406232664710319 0.0351475900211654 0.00261597318453776 0.00376780401833358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409279380495727 0.0351315534988795 0.00254604167149818 0.00363600448525726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409446970008161 0.0350722143607129 0.00253184307221193 0.00352416078600184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0408017849731406 0.0365853800760299 0.00217400741344035 0.00365140701373373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.039790386874543 0.0367504124261505 0.00213150397501577 0.00382652884878282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0406717919426983 0.0352315768512517 0.00250994315478729 0.003813021946398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0404231210889025 0.0361962666427005 0.00248606907294391 0.00406117954453157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0404436486537906 0.0372726608154962 0.0024939580324985 0.00415720409778291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0421900831301335 0.0446765785946126 0.00303207514590996 0.00603994475652228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0493640769086272 0.053851368772057 0.00469459962555697 0.00814482751721625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0438148229692053 0.0409857313522822 0.00216099067292635 0.00352895769747535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0433408049799592 0.0406172101383972 0.00210830180287204 0.00347748014852284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0433921450546092 0.0409776674284735 0.00203268262379685 0.00353532138846959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0433816722726707 0.0410116172350126 0.0020028274015385 0.0034969953790118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0434376370615148 0.0415700286915771 0.00202481681784477 0.003571130598497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0449325698364602 0.043663900670196 0.00226784662156181 0.00405740829989143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0435103061590771 0.0417175025775283 0.00206753291304189 0.00369781697214493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0439820789050965 0.0416768478011959 0.00213074588689204 0.00363051655543052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0446416537888606 0.0435780296905953 0.00217956901687824 0.00390481320897768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0516482910093946 0.0532824896452952 0.00401977770629684 0.00687969186546641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0643941958541962 0.0707247528920919 0.00726376787189994 0.0128258574024297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0488482260399153 0.0436052167560138 0.00140220928052964 0.00258136702091543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0494958041528073 0.0438595751405972 0.00142140217504338 0.00253889470194795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0494571326822968 0.0438457696426148 0.00140587061067924 0.00250687920549462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0499673714347177 0.0445942419382959 0.00140818310890518 0.0025987830610452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0503775431040461 0.0453944749627323 0.00137899771508095 0.00276310892417107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0508559770522415 0.0469098431910846 0.00162832685340955 0.00323002298207537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0504647487925726 0.0448486564640873 0.00140479153037969 0.00251020723741904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0511464627536295 0.0452590885769618 0.00143593020573283 0.00254617286244369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.052042006788666 0.0459132194255971 0.00153318257684877 0.00272589168706451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0594668490032195 0.053961034790849 0.003288901583904 0.00447006460852163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.073447236003989 0.0698352097600225 0.00683409248670834 0.00887307758780248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0651771159114952 0.0571101306017152 0.00319719455224933 0.00540955275286549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.064801843509035 0.0569099921619776 0.00315018860792365 0.00532775353706248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0647745339024855 0.0569844083673003 0.00317746258643503 0.00532586915748126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0652173396895248 0.0570517843333353 0.00321894190933609 0.00532095177948091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0654237198505968 0.0575503523765014 0.00360501600488347 0.00565370771556169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0660448349286857 0.0586844693911324 0.00438905948458443 0.00622592033401627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0659497924029155 0.0567517494967918 0.00337413186431897 0.00530978530565056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0666929954622666 0.0574695398168585 0.00350251337499974 0.00540639459073053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0673998301281216 0.0563160850534914 0.00431526793276686 0.00544349799508034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0797112468259428 0.0657583416860293 0.00856551153363673 0.00867444054420174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10050576618074 0.0832134863867723 0.0166811279939417 0.014409528092505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0606536427811507 0.0531008677535933 0.00308705879547742 0.0066323770568672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.061355225686392 0.0534754753009127 0.00317486729728983 0.00669482887930873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0618954177345731 0.0536731518910579 0.00324395515094937 0.00668944844578069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0618427048992383 0.0536765546591913 0.00322089763863231 0.00657223407611154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0629270376837853 0.0547239016680594 0.00347763336965193 0.00687996999471901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653145736003266 0.0565078690790572 0.00419354242167415 0.00717677716362172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0607687614026579 0.0530623156843423 0.00313000506063485 0.00664959813094934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0616185020009265 0.0533562528524431 0.00316844677161146 0.00658051073346649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631869191157531 0.0541968373716752 0.00354174402907098 0.00685012096771558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0687820996293566 0.0631213541331175 0.00577250139167338 0.0103474899477906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0833391882849274 0.07947614804624 0.00923360699165186 0.0158879625610372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559317715240438 0.0305644845238229 0.00446908620187239 0.000632863399119784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559668459389945 0.0304086798083598 0.00437568998728193 0.000441832015365698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556953325373686 0.0305708868051534 0.004440533552836 0.000621213428838933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0564599501407638 0.0308963393309431 0.00461831036630593 0.000662443966356782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0564123271869296 0.0313398499600514 0.0046387048613782 0.000708270458813106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567528652592725 0.0320871748714314 0.0050111101675078 0.000827303088510825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567692411751539 0.0314434541871001 0.00452030328429736 0.000707156765653752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571518992201941 0.0316962107581951 0.00472674342810316 0.000672505404486055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571406786100395 0.0327607550055984 0.00483488503835003 0.000904300851170958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0628503800472186 0.0425555791366744 0.00631478597069998 0.00208666736776794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0718251205298452 0.0579306845204652 0.0101371476509975 0.00551203382840816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0429981911676198 0.0504674571715521 0.000613663330681032 0.00123049571851157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0430879012916879 0.0504770140857603 0.00063944458166999 0.00122543613440021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0434080684049845 0.0503814338562913 0.00066713250343383 0.00119903226686785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0439588114700605 0.0507654420172573 0.000702373583788766 0.0012028701226654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0448957240739838 0.0515066972414869 0.000866944784292367 0.00130545375837373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0454743872614111 0.0527244777447783 0.0011428803426264 0.00174444761887378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0429612603118572 0.050371110829579 0.000636897481445692 0.00124492797418612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0430911543827139 0.0510658631483755 0.000666704130048192 0.00131886111740451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0444036780377036 0.0537846613476387 0.000776550155683073 0.00163868088180924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0490733267327727 0.0633616115922496 0.00247606607903137 0.00473831584035994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0628204587004513 0.0858860095963748 0.00628414304915564 0.0124801938358062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300871157839772 0.0260501307982565 0.000831663796912245 0.00159927295443566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0298714329444537 0.0257774970623474 0.000825689846106506 0.00153454422933451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296128094879627 0.0256429795242886 0.000801693934978831 0.0015088896327308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.028278118719447 0.0259281821748721 0.000691252699424852 0.00158672147566682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0263497463927138 0.0275663276839859 0.00052837181267451 0.00170193897573922 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0259891818893551 0.030275010192323 0.000660859435782071 0.00221453214938277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0285601656356138 0.0255446773105241 0.000728528521292923 0.00151244926083793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0273205888067018 0.0251528212885102 0.000612628836039555 0.00145487904632558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0263152818718121 0.025895655978095 0.000643177244275258 0.00150230798371291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0325418874095171 0.0341517486426642 0.00227977023075294 0.00259527394304249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0473744060175987 0.0466869326598747 0.00697202569405421 0.00496743108418613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0295106583070579 0.0332712082840031 0.000422001926173249 0.000221381816964611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296389242481417 0.0332509092407408 0.000423855379380054 0.000214399303649443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296744393470937 0.0333458397296999 0.000431984238405994 0.000218438225363303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.029695789799369 0.0335224238201085 0.000444439513174274 0.000248829396959786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0289861662449867 0.0326008620918966 0.000551438439738215 0.000430887096447313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0296196511004014 0.0352678281587231 0.000747648733109207 0.000940586171903947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.028790259219211 0.0326947526170527 0.000417807386977526 0.000221058469212386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0283793806639769 0.0325947576625414 0.000435195748687018 0.000271202112891895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0283916848126188 0.0327488453353542 0.000524117217191195 0.00040416479121002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0355724212068323 0.0431714094216833 0.00179951693927659 0.00218810407227596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0471923329673736 0.0576570733625421 0.004652132711302 0.0054957229782704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0622344239746336 0.0454851422871851 0.00595175729748438 0.00442986280515593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0620815553071445 0.0453981538103009 0.005989592797784 0.00443296747902794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0622792213434817 0.0456532440983052 0.00607699880473536 0.00452060754070193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631306267479579 0.04584752092259 0.00619047728305162 0.00445690808446222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.064994456362792 0.0476943173379893 0.00681698395197243 0.00507079719551242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0661396147580601 0.0500515712935651 0.00730366092250252 0.0057378482076519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0628039298437872 0.046188652816777 0.00593646063848617 0.00457701864049088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0620566626129567 0.0462532134856085 0.00589279111711469 0.00475542177626509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0625088750739571 0.0480521885949323 0.0060879879008834 0.00536038677926359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0713787836407111 0.0582651974177332 0.00914280946833 0.00880466604001219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0873413178738619 0.076772379818624 0.0149893549195581 0.0165383968486273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0401608371279174 0.0345886544004003 0.00241714597700427 0.00342198148300632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.040442125881691 0.0348201974702764 0.00248472412652681 0.00350848450863386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0405639807177421 0.0350690928726245 0.0024323699859271 0.00355671685574121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0405020484651788 0.0349025110253305 0.00241610725896664 0.0035851975735694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0398774908084145 0.035799041242002 0.00249359005547814 0.00407625259993737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0406315375941106 0.0380776790547701 0.00254017799458784 0.00478564216356912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0397244004026312 0.0340790845527948 0.00226629879873108 0.00328741216618555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0389039062735548 0.0329176267542496 0.00218146666877485 0.00291927540093694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0387035329207787 0.0316141853853439 0.00228755723620627 0.0024140967581828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0417248279835549 0.034511341842624 0.0036454331546646 0.00199106761850299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0521428387526344 0.0467862272293487 0.00634084840447274 0.00338852235836237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0479711589326516 0.0422797727236639 0.00223144620064736 0.00293527425186672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0480422263014162 0.0425777905551006 0.00220318389142313 0.00294376848384646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0479173446743017 0.0425210654223456 0.00220050743093219 0.00296866028542372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0477169806809939 0.0433342943600722 0.00222099763563248 0.00315033007181912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0488021477843022 0.0460430203844271 0.00242706468190074 0.00379968586983111 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492162271447161 0.0478888963335742 0.00258431494979597 0.00435293025514204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0484231777935821 0.0422435780590758 0.00248361672378573 0.00299916712270871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0489188338350474 0.0425408255326169 0.00274301348189158 0.003071602963102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0508826278392303 0.0448593394410761 0.00306341200820129 0.00358421834908729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0592287810253162 0.0544189304443458 0.00576134700639244 0.00642053170010159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0739446984928471 0.0676275339911108 0.0107108205117083 0.0110451500772821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0525245226226004 0.0461059842068908 0.00138515520061085 0.00256979998052226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.052292942126033 0.0456320734922016 0.00136911654234673 0.0024600317090276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0520643724746767 0.0452828492794486 0.00132830357148065 0.00231393859580251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0516498820567945 0.0448683011887303 0.00132913707845868 0.00228168124500933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0497292621502345 0.0441145238447335 0.00136101471789651 0.00231433797192928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0498860402886476 0.0455238239715477 0.00151561112982028 0.00238719519195458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0521626937553387 0.0463579367641027 0.00124570530057491 0.0025367096486877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.051170697247336 0.0465414897723007 0.00119154837285289 0.00264605120941574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0501557622152556 0.047626462234312 0.00128839103230905 0.00301650610873201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0535226753556095 0.0567057915456666 0.00291549736837683 0.00562619776385675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0695584305089748 0.0718146636407484 0.00896721610672559 0.0109941517653179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0636716601038108 0.0567968465574152 0.00312522623120694 0.00547691058185642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.063589038313227 0.0565571094764446 0.00313326685645391 0.0054021607808786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0637426381086112 0.0566968299504706 0.00311287834552269 0.00539919985449137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0629759626988276 0.0559363421526025 0.00313032022258573 0.00536758388210296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0641407379331467 0.0566943135449506 0.0034221043450615 0.00537544672820371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0648942213945147 0.0573583583728828 0.00385533867647159 0.00561191415311753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0638154237564952 0.0571658652534451 0.00306454266920155 0.00561448745950149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.063656656463488 0.0573617631536862 0.00309289704907909 0.0055924689590074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0623337326429481 0.0574134008290295 0.00315685150633105 0.00588747405026575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0701948948844951 0.0664711734657044 0.00643649703923939 0.00862188150438439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0899349608899734 0.0860336420596364 0.0152314342040136 0.0161631864043794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.058197454138038 0.049752844961122 0.00325757997300591 0.00623076607980585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.05850769214943 0.0500807595656887 0.00321792980208357 0.0063024199313052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0585997088280104 0.0504054003982961 0.00320241932316528 0.0063834892479446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0595738760620522 0.0508974589264732 0.00326036780987956 0.00648863281461003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0604988129388177 0.0522565789407027 0.00356023593394517 0.00712803012360323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0641152299821265 0.0560347121327398 0.00409190444260938 0.0080061870904032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0583580271350208 0.0506750015310215 0.00314508711421096 0.00658116364747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.059268970120149 0.0510644917408926 0.0032973677227318 0.00656106981502653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0610255620178027 0.0530835002510421 0.00355041909581963 0.00693307608175397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0697611692270907 0.0656129015192608 0.00601507455114302 0.0110539500657212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0854345256310518 0.0853851897517728 0.011704897008278 0.0197477444075315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0570803020658989 0.0325580467197398 0.00411898903364506 0.000481412528315274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571172210004687 0.0328046492925437 0.00405834712273381 0.000478048264077898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0568056889883922 0.0325244757099258 0.00403220204623598 0.00049293176081609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0565846533948363 0.0323938027089171 0.00398060175459878 0.000521218808710711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0549230138230531 0.0330854865201576 0.00377524680006536 0.000478775485092968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0543118268296461 0.0344523282493403 0.00390311308933437 0.000650263012288081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056790591657523 0.0329269648991275 0.00392959791714434 0.000545339388815651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0562385505522232 0.0339836547228994 0.00381869256634358 0.000655071922501149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0543598446222095 0.0350275840774361 0.00376894643645714 0.00100177283863985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0564772066471618 0.0424810216450213 0.00619360521444343 0.00226145219257298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0705508076454155 0.0566829202065522 0.0115686522456684 0.00499531933685405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.12153645621954 0.0438809763310687 0.0936302908157292 0.00452363969736347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.118962608357742 0.0444218832788696 0.0889844626392999 0.00480218633782137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.119845427037517 0.0455849824583105 0.0894178473728821 0.00489513171321845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.119616827018925 0.0456995004164607 0.0894290627180442 0.00513417772139773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111024790130663 0.0470334965623905 0.073122386841566 0.0051768334264514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110485839287699 0.0517450429547473 0.0767191112875898 0.00682902806043665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114872536969745 0.0432795548205703 0.0804148911471529 0.00432092308750206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.116050728982242 0.0426511395631941 0.0839034325334406 0.00397420555080029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.117448397982275 0.0445013092087857 0.0911721157720985 0.00405306187211892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144911670547731 0.0915262512843898 0.141948098087376 0.0230976946740178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.171939301761761 0.136853655145468 0.193637123282732 0.0518434334926888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108023524000475 0.0919130513177833 0.0238550099045009 0.0380862551236834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108277138264927 0.0906071669240971 0.0240693803750671 0.0370376333162983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107976000571502 0.0899505068430197 0.0240305482035585 0.0363814648484824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107875332148631 0.0884076155764346 0.0237751673875794 0.0347537607263171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107182265574683 0.085804604494326 0.0249895131693134 0.0328304162106027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104511076773929 0.090376628215118 0.0272247117981795 0.0344488362771465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108321292466448 0.087556917675959 0.0242235919987743 0.033325406609067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110791284049992 0.0828539064371046 0.0255312546458946 0.029492910072738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111689237114566 0.0839375366504159 0.0273126556719971 0.0298557591934674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109148933336104 0.089451262753878 0.0314212926234362 0.0383802805796246 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.124600013804678 0.110343767563494 0.0470290573339151 0.0507219382916113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109074955746504 0.0609597897941156 0.0844982817156739 0.0219231819374185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108967986038932 0.0608803524222514 0.0844221687282342 0.0220816985888713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107427730549189 0.0609888501402776 0.0813580136724347 0.0221462088497748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106199659396608 0.0611919915333695 0.0789042999776662 0.0223342649702167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0972735153446602 0.0572972741604958 0.0635301829878961 0.0188449842787104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0979712270097285 0.0577281215377796 0.0634966827279896 0.0174774107815574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113552278768875 0.0620299608080052 0.0951258503086524 0.0222532491893183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.119657650382881 0.0640366576294528 0.109299609555614 0.0230073784561022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.125870145540014 0.0668403859878015 0.123781202750993 0.0236688589217454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154397667763531 0.0935103873235685 0.194316335024647 0.0443862507195593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.172198129883657 0.113523017587959 0.228601759298364 0.0600119447810757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.231836426896796 0.188269644013608 0.255554012131092 0.250020594328004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.232347999649888 0.18896953022542 0.257749171296164 0.251010534557871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.232132505427725 0.18860659062507 0.258335650164466 0.250206744605694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.232158136411888 0.189507819252236 0.259514564514032 0.250974915537181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.234120100974852 0.188964706228672 0.270130015526125 0.24751567493065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.235852721765672 0.183402612831633 0.277294700469606 0.2273270311279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.234491736641808 0.188963436369756 0.261111292879902 0.252227337931969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.237553604611325 0.189511771408291 0.266690594464968 0.252525211562534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.242414768167656 0.188481188373401 0.281286970781609 0.248510932753268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.254640920536042 0.192891351180293 0.30836080204867 0.244944549300508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.264852315550107 0.195470200143709 0.313647809978263 0.237171981042605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.124601941143787 0.136705516045825 0.0461560957334611 0.0993549356791393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.124552156059811 0.137192157715395 0.0465439379019087 0.0983635794363616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.126022626102981 0.136702906436172 0.0483314283723451 0.0982125041042579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.124716228359247 0.130489969269718 0.0480377428469893 0.0909328160038233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121006160983359 0.119918439897099 0.0478157681245008 0.0771502366220896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122293275242737 0.113476413268265 0.0507236716330784 0.072391863618236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13218899760305 0.141811253216271 0.058468102810491 0.107444123755021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132119246336046 0.143497999429433 0.0595415577862435 0.111112193361066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.127317768378584 0.145990944626097 0.0577435504757985 0.120032096763677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130183566581396 0.144553053085383 0.0772013253843759 0.107773432744298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145291213886487 0.165981246015065 0.10360605666413 0.118124014420932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151587082156708 0.134374174050813 0.0888956486870918 0.10722747864826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151973864408219 0.134212764892016 0.0889612209755143 0.106879271085265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151922397720644 0.134110280242044 0.0887338450714628 0.106958308032092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.15290215184701 0.133015800090144 0.0901587435662783 0.105867320218667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154342713993918 0.12845356439142 0.0901423068327012 0.0995775421259671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.156012566415706 0.126424754642039 0.090577582536651 0.0945767014992211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148714854454456 0.129472108671269 0.0867315119521628 0.0958969884494404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148766526003873 0.126622254826757 0.0872388474068894 0.089596055338657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.149191197519563 0.121470532561397 0.0867692984152923 0.0816006005869954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.155785067533285 0.115415059689634 0.0945514867473502 0.0678877947629136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.156653474754575 0.130060805793078 0.0902330526508745 0.0825627587335311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151853556605588 0.129889830977533 0.0873192589245005 0.0984410397466407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.152162779436587 0.128855973209314 0.0878784383257491 0.0974059275726938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154024394543832 0.128751439111709 0.0897609012610431 0.0974105164636476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.15841052558908 0.128651153502265 0.0963845560842176 0.0979546869641332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.162613614877577 0.122209368366678 0.0986460212874789 0.0850454854331162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.161481779457054 0.118820095911161 0.0958657150593704 0.0782676930930459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151969561951722 0.130988688666582 0.0873132473228957 0.102466860321035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.150402013729985 0.131383029832709 0.0855438317998081 0.105835498379217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145986275987146 0.131471931436103 0.0811403218911896 0.108480427985761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.126904183968053 0.141313481745479 0.0674258735594811 0.103060901440577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154823147698063 0.173312202062098 0.0956423940304311 0.130580857177023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.201047483799516 0.189205240937192 0.158348476719955 0.235599104015449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.20283098602761 0.190328435018223 0.161222738066807 0.237575077766187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.204450278569686 0.191931484147395 0.16376826006831 0.240163797007329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206840412886141 0.193791195507459 0.168614959786065 0.243298402601954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.209335344566213 0.192615485357437 0.175675666408853 0.238338501242291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.210932503430525 0.188006893295217 0.174512053081428 0.222562170751313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.198175699011738 0.188197146343868 0.154295409768265 0.233624853460168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.194117994862815 0.186787401137298 0.14893137715129 0.22982994247117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.187817828209462 0.182254062293764 0.142229444923724 0.21494973100958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166546903424411 0.169772064429539 0.115870582142037 0.176687149390466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.185153831948591 0.184069942553059 0.143805595338899 0.187640633883244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.242116291860998 0.185911444171409 0.274146000449424 0.251346688889843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.240427608004177 0.185954942561801 0.269517197857204 0.252686639989364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.240368052450848 0.187393663532943 0.269547178781461 0.256213651687538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.239877545540415 0.18797133257861 0.268753432914773 0.25671001090677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.233727843055063 0.189352707160681 0.248817317679647 0.256089231051612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.229194600775945 0.190194130295397 0.239643723473135 0.255069334931705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.240488763420776 0.183750930690085 0.270323226942189 0.245738242270146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.239356116525099 0.18162663145802 0.269226835518359 0.240250567403641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.23514153908107 0.178349403981494 0.261038527233698 0.228945983082556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.225721991094627 0.18388927522776 0.21847994968684 0.222305637864509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.231657570317686 0.197204357480319 0.211189428334742 0.230956149093183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0862755259342605 0.0796278698353343 0.0165840052748649 0.0442636076841735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0854539003078943 0.0794461053015356 0.0164424672386032 0.0442880435102342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0845270677586143 0.0793745066415285 0.0163714899924816 0.0443486848498372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0835968834585411 0.0794918183370293 0.0166879694125634 0.0440066191369331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0870387159486918 0.0763932505322364 0.0227640834327157 0.0387240662850877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0962585196108424 0.0803429059211261 0.0301811007894878 0.0414953606979721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0929082372269022 0.0813483732794003 0.0204477039879927 0.045790293624573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0987590319201644 0.0833842768791992 0.0250918854416845 0.0463199319053081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10252953111023 0.0849456221142545 0.0315651031189237 0.0448856276583267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.1483841326522 0.096120822681466 0.0810050741994753 0.0399440461625698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.173118879694057 0.122228014369689 0.144948539957358 0.0596820059427612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.579462202693454 0.749899981027625 0.377763853300339 2.1518044715333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.579564845512419 0.749970325794197 0.377901716631616 2.15213065852175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.579620629922381 0.75004539574178 0.377980858055612 2.1525401911513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.579804403966099 0.750238510411072 0.378303495027186 2.15341063120502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.581061584906583 0.750957997074039 0.379597367745581 2.15597833694327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.581997813373334 0.751503128001987 0.380917152060701 2.15794530478316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.579832914543969 0.750281598476018 0.378359029479466 2.15400524513953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.580399534983517 0.750488198421121 0.378809682522775 2.15500548252536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.581352441639904 0.750873105074642 0.379969164484714 2.15694854594772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.58424663441504 0.752607813580974 0.384984462876291 2.16551500695835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.587500607417664 0.754140628567177 0.389264340782959 2.17380346560381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.27997084525901 1.26455103026304 2.06070475739832 7.91221507635627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.28021927241481 1.26463398191405 2.06093155540341 7.91324641528489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.28040176559548 1.26463587838698 2.06118073963476 7.91333585770413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.28048860598001 1.26481342616468 2.06129811367981 7.91534479364945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.28113409206356 1.26538266672131 2.06269528061841 7.92204549341375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.28205322648435 1.26589642160147 2.06424392785431 7.92816305529295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.2803889622739 1.26498967393698 2.06165177402495 7.91716896734344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.28069894933967 1.2652962538434 2.06222390296141 7.92064301239353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.2810792252805 1.26579937766435 2.06289898035328 7.92632451708092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.2833492387226 1.26872128680545 2.07010341664386 7.95936705309238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.28499033247103 1.27252904256913 2.07737201275144 8.00338826129127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357890916139728 0.357628792586406 0.425594245833351 0.688533773272639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357901988316334 0.357358174043172 0.425611439343836 0.68722659258202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357942898035601 0.357354162330652 0.425626438260457 0.687296734293786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.358034278168135 0.357425166289486 0.425676542806671 0.687513712778684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357841337860604 0.357615619046939 0.425097152053275 0.688229365106286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357893160334866 0.357537023522863 0.425127490501464 0.688110467877246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357606499517395 0.357575748643528 0.424674520771361 0.688880409699451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357598569793983 0.357220153201049 0.424771823137093 0.687459019042595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.357650299468481 0.357272539790949 0.424891912856621 0.688665473049176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.358232412576204 0.357420524199692 0.425893401151601 0.691938978903516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.358183158557833 0.358021539912536 0.426210225773721 0.695128373250877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497604518866886 0.389450587339546 0.69438977483616 0.881743786708869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.49771993881206 0.389553090931845 0.69441675266958 0.882076492516456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497700015906766 0.389529377423603 0.694445617559227 0.881922771266099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497823433507673 0.389612144553713 0.694577898162867 0.882277082058974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497986958122027 0.389785698253822 0.69491109074082 0.882819824466381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497864898663137 0.390152221757884 0.69468124813982 0.883800599639198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497805841274277 0.389662098706346 0.694444096904486 0.882316131275093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497732951064188 0.38978662748964 0.694306575566104 0.883340463614632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.498111986252968 0.389845758633666 0.694649873191167 0.882873956775552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.49953854394028 0.391429894419581 0.695373373360715 0.887704584912981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501702098984475 0.393510126323657 0.697739588079081 0.895196259659929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686072118332036 0.675566687107112 0.462015803298847 2.03682749073893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.68606931853047 0.675578606829551 0.462032728348712 2.03691693031646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686041907770908 0.675590719275807 0.462040724119431 2.03700155856128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686188817593421 0.675700609643128 0.462123360229052 2.03760778371775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686529734381672 0.676100018056353 0.462999200439919 2.03973385131473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686974669494406 0.676352177611907 0.463472273567174 2.04125174772771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686172068723396 0.675840091925691 0.462244495319154 2.03824767892515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686415934815995 0.675958835899586 0.462536171811134 2.03891305982825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.686943137455698 0.676549062360899 0.46323028471216 2.04218893077412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.688999075484399 0.678814779320654 0.465976692160663 2.05519790457796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.691329052414541 0.681745884962108 0.470341785623747 2.07241483799554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.505556878572907 0.499210878541952 0.830565748088755 1.69896070746823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.505539624658712 0.499259866984288 0.830671550563539 1.69918969525044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.50561898408065 0.499297080878153 0.83074669379905 1.69931748156091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.505802599619906 0.499814569207389 0.831151448102741 1.70277979404922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.506822157509388 0.500336379293384 0.832980506906497 1.70666405518094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.50724046632161 0.501147252250549 0.834248170715683 1.71155373714474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.505381126835864 0.499055972700335 0.830489441108845 1.6984416556854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.505584960861541 0.49906343213325 0.830672327518777 1.6985170259894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.505519463370838 0.499321882820564 0.830952539270946 1.70054083758825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.507215295520224 0.500337624089369 0.833115605606575 1.70759726139686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.508171547879233 0.502662851942184 0.835278361320132 1.7214462481759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649121902169198 0.643299659025331 0.503739561263302 1.95145175768257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649095455232239 0.643348992890246 0.503745035549507 1.95172174409028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649229211684159 0.64338958101945 0.503802996764422 1.95193721624327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649403710092097 0.643591504081312 0.504080586657817 1.9529374655359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649547924846085 0.644141099873736 0.504505944772771 1.95566388100527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649948019686844 0.644454035422573 0.505302236503103 1.95714941584937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649264219573278 0.643480567231872 0.504022708729992 1.95233377994044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649371070214375 0.643744786849933 0.504155788626869 1.95349749391355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.649614170306908 0.644306591661962 0.504836555461332 1.95641114243151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.652057560734851 0.644325061664028 0.507001824883163 1.95474633673529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.653649074105064 0.645534926702624 0.510351543545105 1.96092588809953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.936059093336269 0.577883016563878 2.19039485178855 2.32371357798132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.936125870996403 0.577900640379395 2.19032417810853 2.32395545307071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.936158112238604 0.577950279763912 2.19025698191286 2.32432734517486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.936261164365642 0.577983680603429 2.1902300516783 2.32476459543196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.93662228324946 0.578471114585704 2.18954647046894 2.32928569851493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.936912112276515 0.579075170005827 2.18720293690299 2.33514755813707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.936381607792841 0.578201805917552 2.19005452381653 2.32651435241794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.936745338593508 0.578412145120962 2.18948237758922 2.32812496574974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.937536983348482 0.578899495887742 2.18935564095714 2.33183937823485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.93989771542699 0.581036967083313 2.18208166108998 2.34543209749483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.942526761422022 0.583954153947164 2.1800381384267 2.36780096635875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.568921684306403 0.574116877142211 0.47974232859939 1.74570312472066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.569028952325093 0.574110364313296 0.47986540423023 1.74560482556854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.569102768041974 0.574162138625519 0.479951799349358 1.74572728787801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.569160603521256 0.574258785401407 0.480106637386396 1.7461430579004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.569949493851918 0.575045467313065 0.481378792686656 1.74993213628869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.570182817861347 0.575458629886992 0.481777582716552 1.75178514162363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.569040065525416 0.574361362512146 0.480026486004768 1.74699575811513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.569175234054257 0.574567637857309 0.480228652158593 1.7480714593459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.569495957388977 0.575241976453994 0.480762490052812 1.75136661292042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.57124417965003 0.57850728259461 0.483641865596894 1.76880286837736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.572511272750192 0.581038513686036 0.486000018510269 1.78154729025699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.489877038730721 0.651490249177133 0.268344666629291 1.29746743159824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.489921329809887 0.651495268965459 0.268361086500468 1.29752160125047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.48990360915663 0.651493939147111 0.268365010514311 1.29754793816837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.49005645581339 0.65160324508361 0.268478031517468 1.29784499770844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490355363387927 0.651891120719929 0.269043251840471 1.2993742720116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490647877046554 0.651928928901833 0.269310688539014 1.29988975823458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490010124950105 0.65154495717213 0.268446087578965 1.29765636885979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.4902448868521 0.651624679203257 0.268634297372435 1.29776893065926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490678779513196 0.651855130064343 0.269228720856529 1.29899526313388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.492007680817533 0.652245954832315 0.270816634167496 1.30064703507634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.49349132595345 0.652311201159592 0.272609912651638 1.30089430485362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377481972809853 0.442935565064037 0.199503924585154 0.932466223177111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377604037606616 0.442923613402969 0.199631571837999 0.932443364854995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.3775920578903 0.443162842490996 0.199702385058001 0.933443793274499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377561310380442 0.443427118838101 0.199799382189103 0.934542883280359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.378232211183013 0.444102294768053 0.200246542833581 0.937494294897879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.378738661716755 0.444741254952335 0.200986495837868 0.940615019809982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377197142531475 0.443634821155803 0.19952931865157 0.935464259184106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377093334187564 0.444003137399951 0.199411846913891 0.93673039335021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.376887468106351 0.444799934843386 0.199575879005789 0.940055755380522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.378500802335188 0.446229847867931 0.200805295780449 0.94698207513847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.380176450149267 0.447653883917444 0.20329233765658 0.952038797821211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18559871091883 1.17905098788142 2.08960985208488 6.53499591334583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18580297723616 1.17925289380663 2.089101043619 6.53698165474054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18594883964611 1.17927743195074 2.08912013878996 6.53735269234727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18603980244068 1.17917198447361 2.08831730606649 6.53643472973975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18611214808638 1.18051127879229 2.08888038575525 6.55042849798067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18816507967362 1.18194998061537 2.09480721878469 6.56537027800066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.1860177854122 1.17934114908252 2.0898677958553 6.53835117196768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18734325432139 1.17922918701238 2.09422800524949 6.53777251497037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.18769192007358 1.18139966059916 2.09469765562823 6.56104965308215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19138785819362 1.18148567157997 2.09863796003963 6.56461896575335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19497109831773 1.18149368340466 2.10562722579346 6.5696358561727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.435219278816849 0.43552131464355 0.670429230351673 1.07458156211759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.43522109990583 0.435579597508908 0.670460320661791 1.07451888512186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.435312666367457 0.435643371952434 0.670555386032662 1.07453765289931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.435775082860756 0.435647432006491 0.671089928420492 1.0739381097708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.43590593258301 0.435809740515036 0.670170384326901 1.07326944308145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.436598192043218 0.435441912208415 0.670083218788238 1.07341455300731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.435332882693401 0.435660860598024 0.670369381012891 1.07497959154726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.435562398754508 0.435719065149441 0.670943843866757 1.07528797699772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.436284679650192 0.436618348137853 0.671066507483332 1.07861689648983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.438051442835382 0.436706482444311 0.673834111087252 1.08090190205512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.441184903376191 0.4376313371778 0.68095051576093 1.08935393734311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.32130370687 0.242543790044591 0.462178136808698 0.393784047040886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.32122155484958 0.242696942051993 0.462314400176274 0.393951817405865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.321444166010476 0.243146833226334 0.462595700481034 0.394446333065895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.321413335830053 0.243259864352398 0.462574452574007 0.394595760156362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.322004575886697 0.243467609737444 0.464222226735439 0.39562637006273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.322768042038749 0.243963296296818 0.46471304655654 0.39653580173435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.322202341446502 0.24288211843138 0.461866429768885 0.394196090748612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323076422011487 0.243209366932078 0.461779239410861 0.394722254613366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323966055203878 0.244381419607856 0.462493049845255 0.396924259804033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.327666609129666 0.249285199241882 0.463830244850854 0.406811832899626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.329211481832514 0.253944947634405 0.464361564445459 0.416021433600924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.426529683255078 0.418696705062004 0.228144333641529 0.849656560936159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.426690320939508 0.418719730473995 0.22814211989974 0.849694133216072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.426833159656709 0.418722915465114 0.228132973120275 0.849754408703047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.42687721538226 0.418730636898997 0.228145654710187 0.849808155282295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.427771120016874 0.41881370896383 0.228501612207012 0.850213221834507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.428898705304855 0.41944887168083 0.229299373720979 0.852761456428432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.426500361701649 0.418779549939297 0.228292926657142 0.849949147061801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.426575522685349 0.41843567340028 0.228326938930151 0.848558977293614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.427359675289642 0.418748611692299 0.228522242893029 0.849593222622865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.428420363837277 0.421320744595315 0.230464818538808 0.858787495854836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.430830053764903 0.423910283751802 0.232531806637947 0.867369889555818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.522933830617733 0.523857055499159 0.894601512084322 1.37963146793868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.522914073049999 0.523983514503175 0.894601780408697 1.38027266029453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.522880345908832 0.524061396482988 0.894537667879016 1.38073456796179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.523047231496846 0.524279221873789 0.894667067718963 1.38279661433953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.523650118078241 0.524752459993265 0.895101134362758 1.38810657962784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.524678893051677 0.524849683690897 0.895444854294108 1.38970892055957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.522824919096845 0.524060183451177 0.895843943637643 1.3816264351977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.523247621416154 0.524454786579846 0.896084907461781 1.38407345593968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.523438467802671 0.525115303024833 0.895892410698856 1.38912960388993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.525859322537459 0.526849164558137 0.900852143883631 1.40696809326497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.52779387876697 0.527586880897281 0.903453669868494 1.41790542723753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.35990764740809 0.351029740705139 0.16311639780844 0.634889285582992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359888197992353 0.351005584470718 0.163093200933638 0.634786789669761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360018785252162 0.350945868119379 0.163120738977262 0.634628364672979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360261092527782 0.350934973542676 0.163228409837112 0.634657821038246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360595757103255 0.351594959990806 0.163499963229636 0.636777517371589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361208523796622 0.351769795020591 0.163708948409479 0.637247576640136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360108786726888 0.351102355968576 0.163151434651739 0.635266427816509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.3600891271561 0.351439225704702 0.163185962552391 0.636361862120201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360303833409796 0.351710334210605 0.163267455162139 0.637279798028403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361419831600579 0.353043134205836 0.164076228360634 0.641773849326389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.362668627222127 0.355074342421158 0.165126326242828 0.647794407811577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759218327938146 0.66437046908518 2.12515093251684 1.79826669584633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759210082692899 0.664361170286301 2.12507338327612 1.79818673815546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759194890798812 0.664402190162387 2.12504579432742 1.79885756231182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759102607001484 0.664277478476133 2.12473414709801 1.79908705159491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759193211673315 0.664348112047269 2.1249189698726 1.79980524424972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759030305806718 0.664297318960248 2.12417976178872 1.80130812062895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759370363785664 0.664507374620677 2.12550418923892 1.79869891316303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759500072825299 0.664591725418827 2.12600107116854 1.79911717317156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.759617564114753 0.664286234810396 2.12625706554471 1.80162200318247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.760028599325013 0.663543219572394 2.12655371793807 1.80833875095672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.76152830737094 0.663093972006179 2.1299526977612 1.81727259477373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350136799177418 0.341743944986439 0.189092143465767 0.646046682531504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350177219071026 0.341769568130425 0.189145046052144 0.646148995550891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350136409330948 0.342058922440445 0.189293939430648 0.647067445681054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.349820478274822 0.342169291575767 0.189446049756607 0.647406627405161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.35007058951465 0.342941025321481 0.189982031834399 0.650053212175626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350251808021881 0.343677053779503 0.190204789703117 0.652118997729126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350538381252804 0.341974877611931 0.189327454743895 0.64682392358848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350721094884308 0.342096850347131 0.189430652937112 0.647322569728848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.351226795794701 0.342888935990783 0.189948011419675 0.649889360977567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.353195290285762 0.344703699057131 0.191573857230039 0.655946605622288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.355115439776356 0.3475219552984 0.193091876991632 0.664492977224393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.280567211070791 0.377558138408726 0.0943363429643115 0.506130162699415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.280611405067616 0.377575779055011 0.0943562403360318 0.506185580765277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.280617036720951 0.377694805132545 0.0943768227569166 0.506424093967885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.2807974544651 0.37795063327098 0.0944726052660736 0.507047659974686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.281651208759609 0.378996211044544 0.094937140977987 0.509387535172478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.282688717071618 0.379916853680677 0.0955771980577446 0.511615938527316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.28066269050393 0.377668791474183 0.0943706242867982 0.506393950726042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.280735975377303 0.377964310975998 0.0944655771657118 0.50709381425403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.281178750603562 0.378479897769442 0.0948035894803189 0.508451243746649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.283939805139726 0.380600426160328 0.0968189734346346 0.512932320344221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.285788811703526 0.383569185428187 0.0987573322705338 0.519458941284987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131252379197051 0.0793454638277741 0.02808359404467 0.0494575475763941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130620068906981 0.0793336475540845 0.0277159245144883 0.0496351218471152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129870702696029 0.079830824653133 0.0276723442543804 0.0500250775049555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129600381270735 0.0803223888075855 0.0275500854557925 0.0503133631411471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13223792459281 0.0857220366587771 0.0286660703586513 0.053412230950427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13353760320199 0.0909619245122997 0.029158250506017 0.0566777036642354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130190698079324 0.0808898978706695 0.0273678798611849 0.0503430283353124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130875795696187 0.0827177826231956 0.0276953123030387 0.0513323004110991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132266770079284 0.086338337532699 0.0279331123705397 0.0544248790434894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.134857336126349 0.0949019004817446 0.0301134526935409 0.0603336722772567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.137289551428053 0.0979771496927751 0.0310078416006936 0.0614253616977483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.36311673699018 0.278982539832724 0.4356019042714 0.335728501341769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.363136381602423 0.278954601178775 0.435645418936033 0.335655433586134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.362999906844142 0.279150008050393 0.435415846596431 0.335956977302176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.36178928042458 0.279264149701601 0.433780886240394 0.336907059644651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.362477934403484 0.279376140087363 0.434536536618448 0.337173785860291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.36338284067242 0.280036686400294 0.435312141300128 0.337938515993449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.362907186621907 0.278816599631698 0.43576108220986 0.335414015020697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.363658500596556 0.279596996078899 0.436160238062981 0.336807847327438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.364021099062206 0.2808840736994 0.437092124977378 0.339531631524851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.368748943618044 0.280822857935278 0.445111246313617 0.344007653651999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.372807372006509 0.286403889438121 0.451525008315439 0.351401777593898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.06621595246168 0.0606318139226432 0.0296837694765689 0.0115082755576209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0660892872116727 0.0608872359354567 0.0297837706121851 0.0115115017035244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0663374398554768 0.0613900558085476 0.0297607130071298 0.0115494355734292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0684796544987933 0.0644459723935837 0.0300194712974674 0.0119279737943681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0704079720330818 0.065976200477277 0.0301490109182315 0.0121731916152462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0713918275665652 0.0675275497639977 0.0307215339950623 0.0132990332901169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0676159644169163 0.0633634870172623 0.0297127246631581 0.0117724772085678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0695684631238105 0.0645525976741455 0.0303185135204078 0.0121002343388281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0748301382069799 0.0676171006735975 0.0326704976149414 0.0129786869861886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0877208958032907 0.0684677298982432 0.0445609058027638 0.013975014245561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0992999515559808 0.0781579358059208 0.0573273051389125 0.0190067862022456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0400598734465293 0.0140794623905801 0.00405057780379908 0.000579259691129681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0399021569624851 0.0145221076019695 0.00407919607215734 0.000601794518186393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0398083501059081 0.0145827302678422 0.00405841000288255 0.000615801115925071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0390068886239248 0.0149156519204865 0.00404658625635302 0.000654609739931332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0399691190050043 0.018158329551523 0.00457954773825373 0.0010918671273508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0420799184673506 0.0203968674785479 0.004899808187611 0.00139543090189184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409664828272403 0.0146316005602218 0.00429150957876977 0.000651731494083866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0426230909140469 0.0159826899464922 0.00461342729376412 0.000745444352584545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0504838871074658 0.0206579611046337 0.00714402828700293 0.00125713316907898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0652583969618848 0.0324213763190828 0.0102671419107062 0.00314409581985247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0809597934446721 0.0421792325697336 0.0188897747905144 0.00557117237416641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129633216722102 0.0879696213666442 0.0303491100621871 0.0342473806207069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128742208987883 0.0882020164799011 0.0302042029001049 0.0345606752971945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128821697579968 0.0884882551987254 0.0301079807005622 0.0346599772721899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128383884259476 0.0887592499864695 0.0296863644943207 0.0349080741161089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128657479679297 0.0894349276470808 0.0296786543680942 0.0351164317458002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130405708504068 0.0918593584559648 0.0314359121715787 0.0372315293572141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129786614408713 0.0881369291206957 0.0302166152365669 0.0347220636538399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129195871351945 0.089066288632181 0.0297441754002511 0.0355622982107404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129113027735895 0.0891894244605085 0.0294013419183596 0.036242563714236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132925135297822 0.0957376260315271 0.0323446961926162 0.0409384148044526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128429476685263 0.104123360175479 0.0311699455088783 0.0476351560109098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.143375651030982 0.159454734559332 0.0920467016579467 0.112074689830848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.143121822430423 0.159482127881988 0.0914573017398961 0.112094744208062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142902757695409 0.15990286849029 0.0905932653286842 0.112103046440032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142063479646074 0.159839677922686 0.0899790454347884 0.112320521971203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145848940867382 0.161399667467273 0.0910033812994053 0.113238021532589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148891866470974 0.160529369864767 0.0928287056122095 0.114136149805946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144187410853425 0.159991624965391 0.0919251643729952 0.112361488830016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144488728849109 0.159437614051918 0.0926271927848867 0.112191317737114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147161494169109 0.159476470452842 0.0945205750951746 0.113686961599751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.159894966675461 0.163630368212546 0.108475632938168 0.119431988050262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.164591859433899 0.1681552396242 0.106645459248965 0.123445556727758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101782052660849 0.0617533519307199 0.0218743303635606 0.0190257271635514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101863242290884 0.0618771843713995 0.0218399067182398 0.019053124943795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101746219669382 0.0615916516073449 0.0219321292052326 0.0189694914687607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101373943681378 0.0616745374661838 0.0217898239246535 0.0190457145467351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101745726763862 0.0621156463178901 0.0224766271209769 0.0191585048420345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106188225831071 0.0627866044480709 0.0269389036078058 0.0195187287499256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101798369301487 0.0619075895842067 0.0217604591613863 0.0190684062620797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101608515786531 0.0621498262589872 0.0216786674290153 0.019134025326363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101599948612061 0.0622497231250255 0.0216522519355784 0.0191056348580386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102817685643132 0.0689179626413828 0.0223401604249849 0.0219548446688294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105763670660281 0.0771437141870606 0.0239003611622595 0.0254040549279779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333099159356318 0.247402033748185 0.481319871171806 0.364400413256362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333125242889478 0.247391102645028 0.481559358490066 0.364358261185752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333262309351596 0.24741872939504 0.481655800846884 0.364558573459599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333990226551234 0.247532579633693 0.482040533722918 0.364646922377752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.336512224039501 0.247895524629037 0.483941970955647 0.365423811482096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.338789881536421 0.248079775845299 0.485365622281859 0.366251224052796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333234157379397 0.246990899636071 0.481466811725201 0.364312229559226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333092890297883 0.247202426456071 0.482209991774577 0.364563341499323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333982598409674 0.247606484062977 0.484062520154649 0.365407556647486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.338549626341927 0.247556590371901 0.490830181125546 0.365292229831055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.342792375275096 0.249691149112419 0.493687154039342 0.368768036932601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.14277425570507 0.0620642429747827 0.0378087692616833 0.0177969442499183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142544884989461 0.061962908134149 0.0377904871033169 0.0178348132749778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142831942128061 0.0618985900810296 0.0379947733584908 0.0178379626198544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142980854751927 0.0622005027533536 0.0379947742207284 0.0178470647890368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147219263565682 0.0634537612609898 0.0407025654452746 0.0183471696998217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.150026530777927 0.0647791421771248 0.0426668876786105 0.0187572652884181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.143411593342606 0.061603065030846 0.0380993189853592 0.0176516485184112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144243756421856 0.0614827865025127 0.0384473059708982 0.0175442203782012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144704619641607 0.0618429438633813 0.0389569128153416 0.0172254483280379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145217300129396 0.0707785520160126 0.0413803461600618 0.0235942537443953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.149618707144614 0.0846089311059047 0.0447367918280986 0.0372964377215744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0825435110469941 0.0369181295476424 0.00797942289731393 0.00697821265464378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0826695345717221 0.0369336345249437 0.00800910448785475 0.00699543622352366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0824669926230513 0.0371520635682415 0.00798832444316665 0.00705616977573309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.082031798981044 0.0375317378843304 0.00797737337233865 0.00721518927754924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0819782522236701 0.0389391434303413 0.00824123866860426 0.0075908359861137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0829204526211439 0.0411691243482248 0.00875248153339122 0.00808455674161004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0828419314285379 0.0368467790644218 0.00791419769407476 0.0069418427732033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0827763370898593 0.036797075779804 0.007942002049522 0.0069454348424602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0837003812588432 0.0371739007813106 0.00798225963942779 0.00688120142516862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0859791555665353 0.0431733295168447 0.00928343683918805 0.00808072091255982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0914160307570465 0.0521765973582961 0.0110353571391935 0.0102801562857982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348712075005028 0.406657977800823 0.162676914719236 0.793722416687043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348687379797034 0.406672446369256 0.162706711031743 0.793799075979472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348596705324474 0.406721892546269 0.162724633282392 0.79396228290856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348684582876453 0.406829072900498 0.162760325455382 0.794239787925172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348980023529539 0.406970925671137 0.162939767803945 0.794684892418428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348894812082998 0.407650763992551 0.163177423272965 0.796552659302346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348836597821426 0.406610293425845 0.162665205849759 0.793685498528146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.348620514033822 0.406911244214524 0.162617617021446 0.79457496869038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.34857415756024 0.407062489357556 0.162563641217131 0.795043157444361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.349037665539679 0.410060190940651 0.16272277552093 0.803952648123728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.35041842239564 0.41378585601459 0.164114502213832 0.814861593186583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.372795213403628 0.299002107517665 0.815874056368036 0.468569388178486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.372798320708677 0.298888366344351 0.815817919231638 0.468530299789882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.372851391369822 0.298912713288945 0.815939096117409 0.46859493446788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.373017300112956 0.298979660915523 0.81617440513909 0.468751493753574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.373202462416641 0.299114341309711 0.815448970642854 0.468252845562272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.37349480053445 0.298987833744528 0.815595313114508 0.46818435156621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.372819794983753 0.298989517001695 0.81599499919409 0.468690790477785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.372797393679617 0.299141165505642 0.815306340168882 0.468375937326935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.37286772884675 0.299123393107226 0.816146122263639 0.468882339205753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.373977197481377 0.302073850042555 0.816122627582884 0.472711056734635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.376426557009591 0.305380291260119 0.819868773761281 0.477826669515367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.328024306804375 0.324014361576678 0.155022431946475 0.549797514360772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.328135614423275 0.324035428483618 0.155050787643017 0.549906606371162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.328019737563974 0.324127340344427 0.155055920360363 0.550122669368627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.327885753186607 0.324327249432124 0.155186075528732 0.550662686753827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.328053716120606 0.324437436481963 0.155446656127592 0.550960479271524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.328295800164384 0.32494130435375 0.155837525105194 0.552304202832329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.328053265909553 0.323993801875317 0.155045590532882 0.549720424838879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.327952393123389 0.323989380589217 0.155041526522404 0.549636006426903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.327776864463942 0.324202399025502 0.155067160688275 0.550181378048478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.328442913030325 0.325626257780627 0.156212360346266 0.553689234167254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.330184991458833 0.327077482148734 0.157708313066344 0.556867966382663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0583733624196006 0.056873700781671 0.00762666357170788 0.0158290950801022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0583728676078776 0.0568647134201743 0.00762361602496246 0.0158361612007677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0583998146378769 0.0568884473702308 0.00762524830657947 0.0158552973163682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0583653068764634 0.0569639231786281 0.00761801008082677 0.0158530013067217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586943612581783 0.0572014234594166 0.00769122402529291 0.0158534704635881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0591295810942679 0.0579202545006275 0.00777129888135471 0.0160333860438811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0585161314539934 0.0570096756904956 0.00763543623355402 0.0158360791664031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586877526807794 0.0571748424571787 0.00767020867367299 0.0158890921802413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0590346256833964 0.0577102425414422 0.00775666580823362 0.0160823321735152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0624211483337915 0.0613168692527776 0.00830304918271536 0.0171964831897968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.068215731211655 0.0676090044042958 0.00940926324691002 0.0193153796681559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105242712603677 0.112010160181781 0.05356252194954 0.0741870999901525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105271472076094 0.112053660078134 0.0535297954846874 0.0741747014375226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105255169442211 0.111916088519443 0.0536088539315689 0.0741884928763643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105237578391212 0.111855461486065 0.0535467758889091 0.0741835840858055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105835486799395 0.112278794637425 0.0536165336082772 0.074432184758593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106525362006545 0.113051255363922 0.053738655180213 0.0749699719093058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105175326523296 0.111838383694083 0.0536056967234068 0.0742610809349784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10530586423642 0.111860289723176 0.0536740231734033 0.0743358840494097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105634537429431 0.112141856314142 0.0537201057171523 0.0744329632049615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109573205779264 0.115505731974667 0.0551389711447929 0.0764269052580352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115275735794458 0.120799401320795 0.0571675247860356 0.0788951778776907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0170829470783228 0.0111026815619838 0.000255356278060165 0.000511691693667809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0169850661478512 0.0110917022525884 0.000256659717298956 0.000513662365081664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0171203372706449 0.0111146566098877 0.000263279959702368 0.000514045319146579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0171195499037028 0.0112606073440061 0.000274313786733908 0.00052336136627528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0177241655152211 0.0128268724983926 0.000326123022723716 0.000624803833139632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0195796721601858 0.0155957627832455 0.000431346720299493 0.000836149150067814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0173143009396947 0.0111531527415866 0.000255028240173957 0.000501773336552833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0175960689729031 0.0116015229363017 0.00026513382553908 0.000521687170082051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0180201002867706 0.0130781199531708 0.000297934903257007 0.000618804323623314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0262256782160215 0.0222003143405716 0.000907715295505863 0.00151308264407028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0358678285276225 0.0335158888356046 0.00224321183968989 0.00324703220712071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617514835923751 0.472606790025866 2.0116059700824 1.72932108380566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617221512548064 0.4724637854888 2.01080096937348 1.72835930859272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617351106299621 0.472616634622815 2.01101634039583 1.7288041472343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617260104487204 0.472686426667808 2.01118876626493 1.72922405562676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617602197579873 0.472504517108951 2.01102780368167 1.72871411116218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617458072415831 0.472524805458325 2.010218059739 1.72824093132662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617475742160652 0.472552512808341 2.01158145118092 1.72950452233293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.617704923688795 0.472541951684224 2.01177962486122 1.72954613067769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.618475739615403 0.472548592483528 2.01253808559154 1.730158278859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.619182654184582 0.473094712692674 2.01229905849169 1.73235389594804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.621363758685238 0.473783753964294 2.01469318544123 1.73547123958047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495510001682665 0.48445601281966 0.775975260515738 1.28917925838831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495461312342111 0.484485806096129 0.775952509195351 1.28935729206787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495505106278666 0.484460707793124 0.776022579215453 1.28945127751866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495472182387708 0.48437216975274 0.775951923772908 1.2889004559537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495364211609038 0.484287076477359 0.776637265434889 1.28933930991775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495744606768888 0.484581589945291 0.777206917438368 1.29066160555204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495507569178396 0.484598175262969 0.7760164477693 1.28943047320215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495585726051129 0.484610560775045 0.776164585118885 1.28960751915387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.495767155712769 0.484963811566956 0.776524057414095 1.29068861740466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.497202590929355 0.486163801078027 0.777471075199069 1.29463279550104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.49945941550025 0.488483541232514 0.77987650556931 1.30344506589496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.42169379882207 0.430568898631857 0.483386940529074 1.03225071541202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421738988206413 0.430583607955441 0.483353873633736 1.03224604160097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421763182236401 0.430599783424346 0.483489659438674 1.03245313135439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421715134450325 0.430687126919747 0.483551281923712 1.03295276421576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421677506786682 0.430995906754579 0.483427343447575 1.03442785140251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421982881658102 0.431630799577908 0.483647189118063 1.03666984219095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421505066754613 0.43052156611118 0.483096544473758 1.03252715641299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421458670227327 0.430424641969499 0.483009587781639 1.03241379963791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.421679061710972 0.430275594545359 0.483457825230765 1.03207609222869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.422783156953595 0.431156700476541 0.484920431988249 1.034980389128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.424588245974289 0.433623469971739 0.487793822559744 1.04105521235632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.20249643020749 0.186222556097287 0.0510561442290443 0.187836110492028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.202433783623456 0.186341570288444 0.0510658620713296 0.188017638724833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.202467598132325 0.186295810869941 0.0510590427588809 0.187958091119549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.202469397815504 0.186378212178467 0.051057291209442 0.18808758495857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.202852110364346 0.18685428042464 0.0511570589900634 0.188774033279952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.203312766252086 0.187445016102797 0.0512748631564723 0.189513493499607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.202451720038363 0.186030683242425 0.0510487949921491 0.187594874116534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.202683607878169 0.186109398141592 0.0511068368667199 0.187728170197432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.20294354274598 0.186321087178942 0.0512561558490757 0.18796952087213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.205630607355366 0.189824780985479 0.0520984311634183 0.1922740048867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.208997596466554 0.194867342154486 0.0537629016108222 0.198459594307911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183246684689186 0.198955200132685 0.103637929673069 0.226181103100873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183262768592024 0.198944565294205 0.103558933861279 0.226151006454211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183283471778905 0.198894701658955 0.10354645296892 0.226075562785372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183201419299845 0.199013904067533 0.103572136709824 0.226244967307049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183469732476041 0.19926927013953 0.103592083761605 0.226489216184114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183978774126683 0.19916986389004 0.103723525683982 0.226062644707555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183211762822762 0.19891223730646 0.103639227024093 0.226105412949094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183291891137999 0.19903435439421 0.103724476236062 0.226246164729842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183335843757942 0.199227227929283 0.103786116973118 0.22652576859463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.184852180169052 0.200811168354287 0.104184000246561 0.228446958674391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.187444751311314 0.202910728837824 0.104832181185673 0.231044015246199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206061815388615 0.176926551330616 0.276541388053139 0.165383030796806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206055264022716 0.176938573926094 0.27639664486466 0.165292257616132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206029968341726 0.176996878588429 0.276355936887657 0.165306798772968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206166062412941 0.176970306945096 0.276405187988051 0.165428775098684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206736133841245 0.177299751009496 0.276804585680331 0.165821495584279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207196497602776 0.177617972307607 0.276941756479803 0.16605447241579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206131733728894 0.177021347505844 0.276559922916934 0.16558325500425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206256788249259 0.177076431882337 0.276942493569103 0.165701683478307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.206320718219039 0.176710995772737 0.276877535187052 0.165334938881147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.208782435930919 0.178190833377036 0.277711248390719 0.166185998293792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.212157424376065 0.180577143852525 0.279729676918206 0.167914971092586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.14727079796976 0.154998113994199 0.098332673600824 0.21598683937931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147279201284756 0.155043534361645 0.0982745787477278 0.215953599965954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147158068009913 0.155059622449088 0.0981108656478135 0.216047251728061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147329683853934 0.155091927700288 0.0982927335613439 0.215943755363168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.14748421347942 0.155581976794899 0.0982778515016487 0.216212151227117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147833246879999 0.156283360103902 0.0985829999306313 0.216847968245686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147255134474111 0.15499945265773 0.0982906241439223 0.216023017464633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147107139824119 0.15499825157712 0.0982340114689921 0.216034750032172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147457665082228 0.155494599069712 0.0982696958492307 0.21639818459377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.149167160570465 0.15819792000199 0.0987454781132979 0.218335100131685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151841309158542 0.162337667104862 0.0993791347787073 0.221762155991128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120332829197946 0.179826080030659 0.0287389718474664 0.181627907309654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120219663168291 0.179888441089903 0.0287409106959292 0.18172865653717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120153067291731 0.179915454555996 0.0287332460014163 0.181804234510897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120331411529247 0.179941788764455 0.0287767807968123 0.181800188079202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.12070927655889 0.180148876361612 0.0287410179827838 0.181882609952416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120757445026923 0.180574906570226 0.0288007938099503 0.182368528826939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120392929207227 0.179840444353098 0.0287383740581099 0.181577157387849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120357939243765 0.180183161772611 0.0287131733709915 0.182077123319284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120547751355037 0.180441293469845 0.028819925095577 0.1821857703804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122852952361032 0.182762029820877 0.0292979642266308 0.184288066586922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.125591753693879 0.187043906499776 0.0302701767773631 0.188778087564536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442442613001205 0.624275614591303 1.10119501484804 1.36485834177947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442443794304293 0.624298229291999 1.10129246887643 1.36498783381614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442517264594796 0.624367953821496 1.10150077195706 1.36509647974146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442589051577568 0.624381522140047 1.10177480657456 1.36522891856067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.44282731158298 0.624354669271952 1.10250456508482 1.36586748330619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.443065828201124 0.624615045199789 1.10316890006696 1.36665100592895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442521388890945 0.624273809867601 1.10160696975784 1.36499193010288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442555112819311 0.624223565886511 1.10171473699663 1.36520252813015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442450064297254 0.623905852253905 1.10172014171449 1.36534160436737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.443178985499761 0.623721273992184 1.10380749310238 1.36738695646074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.444343157290295 0.624354858413913 1.10675320047245 1.37035296095235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111537207984384 0.134155670916993 0.0138582464589307 0.0897648655273404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111553829396326 0.134150648554049 0.0138509262638212 0.0897573077356485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111562833062652 0.134113892474378 0.0138572581983612 0.08972469089294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111672213990642 0.133990986985001 0.0138528681324956 0.0895786479823072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112051255863585 0.13405976599816 0.0138806344280963 0.0896034220430824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112204265182188 0.134310451985564 0.0138777721821753 0.089884457255123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111564268110871 0.134074737410969 0.013852138394322 0.0896804551164254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111441250090675 0.134358743514032 0.0138644171714392 0.089992133115786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111397475569558 0.134539630717629 0.0139019472850099 0.0901495006404251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112396644202142 0.136096257361498 0.0141899477498308 0.0915711899661457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113905156755536 0.138887367501098 0.0148420916641747 0.0940840867724142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341175107809336 0.0253797027636737 0.00545959188535787 0.0125406984769678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341147460138339 0.0254128639631575 0.00546691434505994 0.0125456953868111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341817510633522 0.0255441103147772 0.00547986438294461 0.012547946354646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342935396390112 0.0256320400340074 0.00549926036988555 0.0125544547976424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0343227738312508 0.026241622049949 0.00552591477716756 0.0125991666573051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0349904445444099 0.0277424040564012 0.00567470069570326 0.0127603617264279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341627069242609 0.0254136695848397 0.00543362959733424 0.0125202157603379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0343820117685974 0.0255719185750588 0.005436632796404 0.0125079581047083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0346167093812544 0.02626832638407 0.00543152173459304 0.0125419119323526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.038479628319874 0.0312075696910058 0.00573497027177186 0.0130643829946825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0455161561123799 0.0390560815327129 0.00645278304362967 0.0142808620791805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.024536296860983 0.0206648784327446 0.00420051769077854 0.00223358451178671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0244872030388897 0.02063532092768 0.00419579207493714 0.00222433458915645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0245346971680909 0.020625698718732 0.00420223686794275 0.00222720298505455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0246454900495314 0.0206183234104523 0.0042122580253499 0.00222475192455162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0251177218182032 0.0209287520770773 0.00429253138511588 0.00225241472511276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.026079458156175 0.0216611889116153 0.00438341640285386 0.0023316624717638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0244225371968656 0.0206038858583677 0.00422940970472634 0.00223215079261825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.024642590342616 0.0208380312873974 0.00425431745466214 0.00226330541852288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0250678012756642 0.0213177869220753 0.00429779991771782 0.00230644371865672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0290448485466197 0.0256428158862551 0.00470374198039101 0.00281061185980774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0354498908844432 0.032525061577838 0.0053730527338778 0.00378106001955498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.650411577190352 0.600174941628711 2.40687672010315 1.58957968209595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.650427248799555 0.600199720682102 2.40684824780259 1.58968887244608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.650428133993366 0.600263060056916 2.4069286678505 1.58976369143735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.65045098712043 0.600319017926284 2.40693253734057 1.5896826326616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.65062479805649 0.600480021976223 2.40769804028783 1.59002306549383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.650958377556141 0.600691204270611 2.40954411712985 1.59090535746982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.65056836089831 0.600162097600351 2.40745789084453 1.58963251568386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.650701857910988 0.60027203843424 2.40805327818285 1.58976069618388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.65082093637367 0.600506698326494 2.40876902016925 1.59054577533183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651638114133148 0.601284938642212 2.41260066114285 1.59338580741455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.653445036680742 0.602763939696201 2.4199193447115 1.5980631438625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.013874486025829 0.00892783683741402 4.70529499616786E-05 5.93507509175956E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0140156767051931 0.00905365382776693 4.830837587667E-05 5.98207487215236E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0140236964086244 0.00909869652503706 4.76774524792795E-05 6.06051640315772E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0140481905926585 0.00935004258616831 5.27505491384251E-05 6.55154381351946E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0146435402020176 0.0106703690882683 0.00011207093438811 0.000123279213319141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0163402851411736 0.013522789864002 0.000232297995988941 0.0002576679600384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0141212956906254 0.00916560425415966 4.91241761987487E-05 6.42782829136161E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0142646122928915 0.0097283222133574 6.22104174066765E-05 8.39244677306646E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0146343217653639 0.0109052303024734 0.000120310024926218 0.000153956863877211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0231262691953121 0.0220688198283735 0.000801793066700416 0.00101415991577937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0354355090407326 0.0352301791648639 0.00239491536392323 0.00282989233826409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0390649724300894 0.0685176742544361 0.0038012731545071 0.0296498654836861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0391288032457225 0.0689277705209302 0.00384130549099344 0.0296612557113933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0395825693773868 0.0691072341576357 0.00390057685547343 0.029638449347283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0398779169702603 0.0702110833879269 0.00402864460424444 0.0299354831687258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0431998972704875 0.0738474971026209 0.00460152012800488 0.0307039780764673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0468639070068347 0.0784213433671014 0.00543610338576675 0.0322411910942773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0387657319368843 0.0682301643170907 0.00381678529803778 0.0293283913512711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0388974693317797 0.0692084687759988 0.00393665496377012 0.0298739754247276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0399648330893559 0.0717546310696025 0.00425988548507952 0.031563994730137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0525135402032938 0.0887330185663261 0.00800734623845798 0.0402376641647336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0676180060170013 0.106403436070041 0.0142304545542547 0.052340441197042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196591703405581 0.35161956569545 0.0901673308111825 0.629387797273877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196464815270425 0.351673188716337 0.0901405325813746 0.629819471887736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196645427346342 0.351718426673576 0.0902317493934534 0.629935039941509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196877175446805 0.351510251545779 0.0903332644888614 0.629469377563518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.197484095390427 0.351260405969841 0.0902884427345351 0.629304399226275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.198993435802051 0.350893525157967 0.0903126649903695 0.628503717663704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196211309308421 0.351838041463856 0.0902760093981428 0.62963575159834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.19588801051894 0.351995303578265 0.0900164348864735 0.629833924312227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.195805419629674 0.352302426398071 0.0901886212228847 0.630117802355267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.198514660448659 0.353350714945007 0.0915650738276295 0.630766826998471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.20384639132193 0.355676140797968 0.0939938084554959 0.63371128878699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17776421925562 0.777149129693409 0.0451069947738283 0.309207261418008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178465663075845 0.776608869570957 0.0453684700724235 0.308127965740518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179665967899828 0.782438779684091 0.0453478283806198 0.310150731052083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179746308758735 0.778602990334669 0.0454643243333652 0.305839118330736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.186781883695242 0.780994842888027 0.0406040434064007 0.301159739470501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.190297926217284 0.759398553094614 0.0397300080301561 0.287798890158039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178950317829372 0.7862111424021 0.0456372935455314 0.31343363445376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.180687649089309 0.787465692794252 0.045589912759754 0.321975544579252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.181838669759748 0.788811265420676 0.0485547731502501 0.316095156723065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17278258659008 0.766668172356698 0.0543317128673103 0.2477093898667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17679881409109 0.783712016399271 0.0592111408496279 0.212452482117906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0454243081499883 0.159047442608266 0.00638009955240256 0.110862527455618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0460164614291804 0.159841651041399 0.00645585989913239 0.111695791677265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0455827473800811 0.159781806647706 0.00614481907448606 0.111346311662221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464107190561939 0.160306452781577 0.0060868290080392 0.111396298139865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0462971769869931 0.161348311284965 0.00572396890432327 0.110689341166988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0488562098369814 0.163300014161356 0.00556102569515819 0.111936989517691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0463551765659824 0.1573994315353 0.00639089009207647 0.109251194935114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0472975432801282 0.155386679436963 0.00642013262713383 0.10676133858661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0530441629618175 0.154097326360707 0.00808509629608945 0.105423576631899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0947826435223023 0.154280697238369 0.0244088581720271 0.10554923970127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148699870353407 0.158012771258451 0.0612554815970612 0.107667545518742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131976029894426 0.443118717718879 0.12714427071397 0.840178855456138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132103001022131 0.443012485349928 0.127290144477576 0.840003409015922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132067760959765 0.443030145409013 0.127346296970517 0.840169894532615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132127221437952 0.442978435025499 0.127173486254947 0.839939209504677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13286517122851 0.444010343112084 0.127370099072263 0.841846841507818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.133440685872296 0.443907623131899 0.127917100888817 0.8430748589262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131989679264979 0.442879150963686 0.127315868239099 0.839629540072764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132329499930173 0.442928268380101 0.127426964893402 0.839693777823715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132663257507829 0.44332587496048 0.12767929939158 0.840717062250972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.135671691265007 0.445714661663123 0.128723882803803 0.847161807896813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.141841932594653 0.448735524626798 0.132852914558841 0.85384613655466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631233635061716 0.0525118360101623 0.00584053218007445 0.0234008528629113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0629237469472604 0.0523741246190156 0.00585548266686456 0.023474794370954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0630572973964243 0.0524386386831911 0.00591397203973146 0.0235091479745512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0629884925292307 0.0518613320636185 0.00587707470340774 0.0233810771644489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0626264128963562 0.0519927597805192 0.00598806052951102 0.0233643595896662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.063512381807124 0.053825809817665 0.00629728353337032 0.0236516694199048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633652882146515 0.0524601324026717 0.00582507020984275 0.0236629349258532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0637787326362157 0.0524589642931001 0.00581173407583206 0.0237482170119596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0649769083830115 0.0530737335161573 0.00589646012977394 0.0239675447610755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711696950273623 0.0613208566604262 0.00704864511278524 0.0267249287226928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0809754351075515 0.0755457276785273 0.00987638911559094 0.0326827824551551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0938736251502159 0.330326393429625 0.0361877589154974 0.658101359307929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0940956588707812 0.330715727014046 0.0362754010332963 0.659546316755606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0940176385534811 0.330785384345246 0.0363167386969875 0.659941662342946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0941047760804715 0.330876772835543 0.0362501511527999 0.660838454662845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.094395721392424 0.331220328016645 0.0364501827283224 0.663329097799002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0952615785946153 0.333047197765914 0.0368556073640355 0.6675217573295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0939922089748031 0.330743300601501 0.0363226489814117 0.660178535938635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0942350230519838 0.331483261261748 0.0364283006897923 0.662653156940869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0949301931167431 0.333011244367245 0.0366567059258012 0.668740790118545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0996049684620371 0.338865300598544 0.0389857920764653 0.691364503339468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106404877441345 0.34788175004214 0.0423495481230284 0.723487363037323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113954921880415 0.113533482916175 0.0142075500409115 0.0628542989289479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113963592599023 0.113514923004202 0.0141964837271809 0.0628259270188975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113822724915179 0.113470673222504 0.0142635369453136 0.0627919286991495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114023609334602 0.113321076537356 0.0143718070761109 0.0627239126662419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114507804735445 0.113314163415056 0.0148428706096782 0.0629125578875774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115607584317802 0.113841542480625 0.0154592299172681 0.063365893264288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114127080235398 0.113671580084665 0.0144383958580165 0.0633744543571623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11417858254653 0.113486663107571 0.0145133058709385 0.0632551938896631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114740632840421 0.113929467682585 0.0147210164250772 0.0635286020797404 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.117986773670938 0.116088773066627 0.016675594040473 0.0649618837068371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122847035262226 0.119896897396387 0.0197970248351067 0.067482336749182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312755800364414 0.445009673328725 0.583810384185652 0.963847216646941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.31287558431656 0.445112126535062 0.584021896688165 0.964201628747881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312786012719439 0.44519567964466 0.583878423875977 0.964188420863572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.313047814693192 0.445283352951446 0.58437985295685 0.964371243970596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.313639238790422 0.445190484462449 0.585664521440774 0.965484694919833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.314827203116811 0.44565016797534 0.587012484940397 0.966585211166938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312715628497944 0.444940375737331 0.583605735149222 0.963891606617099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312804532604057 0.444900886459169 0.58346464592825 0.963764223485975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.31345546997061 0.445189383178733 0.583270119934529 0.963668489245143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.316346581351783 0.446915759691432 0.585678186597123 0.967248061541839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.321329943318799 0.451490178848641 0.58963516777578 0.970882556855231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551468826781738 0.18729715147566 0.016961777955697 0.173468696534541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0562603188263527 0.187552903433605 0.0171004885323758 0.173737593483734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0566608844609681 0.18854722161094 0.0172808957617753 0.174673431798814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586448281030518 0.189430232573581 0.0174896624117088 0.175327609290127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0682348814397534 0.189843074554003 0.0193933197186951 0.17757926460199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0779577992087776 0.191158175651868 0.0228429513482154 0.17888888417593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.055368132110738 0.187333558505313 0.0169303207884704 0.173670955704121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0574808154509201 0.189226674529617 0.0177857620313117 0.17628556491605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0649162439701908 0.192833443771749 0.0199975936272751 0.180842594955091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104887061220068 0.196774433410726 0.0417879097499691 0.18589013608586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.160792282296412 0.21110664978553 0.0933202299612628 0.202565371145399 NURBSSource NURBSSource 18 180 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0890082259081665 0.0302336196687607 0.0261623148010377 0.00217145246802823 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0888741917723158 0.0305074346918075 0.0262342820471711 0.00214397039113557 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0895304432649447 0.0310509010891945 0.0264288259482524 0.00218994616925683 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.090238868525582 0.031542859004844 0.0266965226062848 0.00227688176535303 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0943818342899865 0.0372453245199896 0.0279490038196629 0.00333859846163912 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102673574192209 0.0483210947364155 0.0305262513868895 0.00551062173252068 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0892310786254246 0.0305759226712779 0.0262991480988609 0.00232522423078609 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0917332189971456 0.0331995731202399 0.0273685655382215 0.00281794052819111 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0969951883270603 0.0401715524127353 0.02871576496923 0.00413661504682488 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.127507546650816 0.082172173996546 0.0370240104470847 0.0169106013412351 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165528015749474 0.128052576665271 0.0572112746476041 0.040826148844315 NURBSSource NURBSSource 18 181 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0913514870705793 0.041843206989746 0.00224486114054768 0.000948579650614082 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0911960177219202 0.0417514081391713 0.00226216101617988 0.000937919833912665 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0917900232357338 0.0418145479859146 0.00227217195361718 0.000943206647379923 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0921305392621796 0.04165956429493 0.00232019691951271 0.000982994641365394 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0916184934032203 0.0414141690824001 0.00265649543251266 0.00137980031965413 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.092136463583525 0.0468417085968026 0.00327598658217944 0.00218917223178863 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0909902065007674 0.0414349135643575 0.00231713124316796 0.0010249174412914 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0906204604687831 0.0400231803749672 0.00235581902505103 0.00104583304321492 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0885013302177574 0.0421402983419954 0.00270768713578908 0.00149584754176659 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0928712684221241 0.0623149590522061 0.00675261148507549 0.00615204961412343 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.118053651554922 0.0976377288534607 0.0156658226922041 0.0165495390959612 NURBSSource NURBSSource 18 182 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0827355600233406 0.0698365969519702 0.0172338776435776 0.013695301771155 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0822200973007442 0.0700807464289287 0.0171935659243515 0.0138113259345058 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0825382335108643 0.0700757337942566 0.0170906922038316 0.0137914945910827 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0821187075700189 0.0711794768142387 0.0174102305687135 0.0140233972637685 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0886103198435377 0.0759868402689103 0.0176872068817873 0.0148413039573744 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0947388155583261 0.0835168143053215 0.0189001441397097 0.0171031462996858 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0820993400580653 0.06972276043263 0.0170475527257192 0.0134015977684811 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0832857850235199 0.0709796567740624 0.01743673337018 0.0137432835808237 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0883629503097771 0.0740681588025859 0.0179182453617726 0.0140916873136697 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.119428077065224 0.102402322142118 0.0248225055907985 0.0216519133296083 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.15495436063444 0.133487487988185 0.0405618580610794 0.0344890361361447 NURBSSource NURBSSource 18 183 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0292667797563154 0.0183959548719961 0.000605323189961151 0.000782197923525086 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0295089559775872 0.0185181980000382 0.000611878596091793 0.000778802322065083 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0295906295061467 0.0190788369322598 0.000614215483541673 0.000806743424465405 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0300880481191812 0.019099057244564 0.000655956163611077 0.000806659208291729 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0315257111898037 0.0232419592522161 0.000979081858395215 0.00120193738427887 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0374382564481121 0.0307209038124444 0.00167696224109061 0.00201056275298319 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0308923150108602 0.0191118106843114 0.000671296425562781 0.000765368820012212 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0310466253463764 0.0202873302641767 0.000731219049852334 0.000857360465064712 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0339117247015243 0.0249278571091383 0.00107188517322394 0.00123008638021089 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056119939919819 0.0526668528374479 0.00506683736891439 0.00633360782309024 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0863104172825891 0.0839446662764628 0.0145798864966928 0.016959295504911 NURBSSource NURBSSource 18 184 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0213344258360189 0.0274306481445853 0.000323511978362785 0.00105189128703153 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0215066404982093 0.0277245214740376 0.000310316149601071 0.000999195986741248 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0221569841751798 0.027698721529247 0.000319405010153104 0.000982403162309303 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0228904535593756 0.0278381770853003 0.000362859994882239 0.000959697371032522 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0283230005800421 0.0328557591395127 0.000832933594062679 0.00147186652724995 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0369119578336893 0.0406989491776105 0.00183780505683297 0.00234081319382361 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0226220802956741 0.0287624762358549 0.000344648560221508 0.0010378213102723 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.023874044937659 0.02950121118824 0.00044838995596654 0.00113829582953347 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.02964321047612 0.0345911152146453 0.000966485324954694 0.00151124126289155 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.061561779870088 0.0656211663839871 0.00734302224762417 0.0078588032185959 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0983506836606334 0.100704851980943 0.0215110744712208 0.021856391672053 NURBSSource NURBSSource 18 185 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0531760969169905 0.0150884801570052 0.00234425966097517 0.000235084954134277 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0532238959907124 0.0145264849232803 0.00238643963646552 0.000225706763058928 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0535102835336936 0.0150829122856751 0.00239533208766857 0.000253605500520696 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0545039951130709 0.0161479049103035 0.00246211514861187 0.000306416199833821 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0600406714929663 0.0253280199337667 0.00322321360800814 0.00102298036414557 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0649713568690811 0.0370773456912146 0.00429408463830904 0.00267411269024486 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0552292237354373 0.0164657590246876 0.00248140963959172 0.00030629872174042 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0561876232276583 0.018714217917793 0.00260567198977757 0.000494188796413092 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0604906142829698 0.027220782626312 0.00322530718073632 0.00135325734245371 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0876699085931985 0.0693286205316343 0.0104890228239139 0.0107495384850428 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.125317040751707 0.11437834469385 0.0268363659240566 0.0302663962782867 NURBSSource NURBSSource 18 186 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0549558904039989 0.0201505203439164 0.000575717714745581 0.000271975922696483 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0561605451589244 0.020804749119181 0.000558399507735453 0.000274844921373542 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0561891195277335 0.0210158655953016 0.000608030013690008 0.000300864292881811 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0565572762584581 0.0222270839306381 0.000669624611778921 0.00039461773988189 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0603102841634655 0.0342542462767545 0.00177004266117506 0.00163333772518089 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0682909582655153 0.05049293716559 0.0037721085859869 0.00446106555932056 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0558901488309651 0.0225529237198191 0.000637122694476051 0.00044375941338823 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567013216561189 0.0263092569993879 0.000961598384828731 0.000789998357562403 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608055379927606 0.0377738145428883 0.00201287792308262 0.00230073479103264 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102004518970677 0.0934479974847273 0.0151307425307604 0.0189834343933935 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.15788698437768 0.153200772962856 0.0440183977808913 0.0528880436623794 NURBSSource NURBSSource 18 187 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344554991751087 0.06540703667416 0.000403286098993535 0.0259986324970477 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0335896735015746 0.0654580893600447 0.000407904946787991 0.025991162432314 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0337065270669665 0.0655064990162435 0.00040296710071189 0.0258304742720081 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0346752058016047 0.0654286313984891 0.000427436636595233 0.0252141400092425 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0346797207098475 0.0674572700560066 0.000802728684397496 0.0257270744817944 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.039496292379094 0.0737738901614612 0.00149189083461846 0.0275348005521856 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344760441120142 0.0649663683691021 0.000418192358270438 0.0254681080358008 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0351919256261843 0.0654796069724898 0.000565280193268335 0.0256860842868597 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0376901222327329 0.0704490733415282 0.000949992014653713 0.0269914600248995 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0630088177729406 0.0914738052489795 0.00579283111521323 0.0330161073773452 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0969585451200239 0.117525688583436 0.0167829075789223 0.0445703716580514 NURBSSource NURBSSource 18 188 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0393930060286318 0.0848438176297015 0.00140626633080891 0.0224157077731108 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0393148275163358 0.0841384783587757 0.00142526433738737 0.0216759970622252 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0393950815732156 0.0840179613581721 0.00144155451732978 0.0216254794475542 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0396054865591284 0.083352148676138 0.00142838959552181 0.0211564866754384 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0395730952043828 0.0852973377475049 0.00171504405151776 0.0219576770678538 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.042695699269838 0.0876637146187765 0.00217931311196884 0.0217748224462734 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.039196239786058 0.0844234436935523 0.00134853801077209 0.0214914879041559 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0390685234877546 0.0847827511659331 0.00138857884686935 0.0214176465708783 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0401754430389933 0.0857410341202023 0.00169091686878064 0.0217643490863854 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0575587763490553 0.093350747123107 0.0050194471294766 0.0220281382630464 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0818787816993569 0.109961593633216 0.0125107649830498 0.0280748506151016 NURBSSource NURBSSource 18 189 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0295041147876725 0.0453410511984362 0.000292011405798768 0.00186126886776577 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0301726724587585 0.0462256542823076 0.000293374335778331 0.00187935566983839 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.030740730818346 0.0469267793427007 0.000318564754162644 0.0019230764960728 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0305157661318258 0.0464005869814613 0.000426483310662329 0.00202936240267289 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0390635906603114 0.0515163635224548 0.00156460539172124 0.00309957644554496 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0546143894878101 0.0626518199120104 0.00408869907867778 0.00543277998141818 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0311147457603198 0.0468239844990256 0.000355769252051683 0.00200626798039004 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.032739381276576 0.047614833328467 0.000600006043466928 0.00233551386711611 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0409978215744183 0.0547084381366753 0.00155480238215796 0.00362622126053337 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0910346934952388 0.0975085199619532 0.0153434052933969 0.0172106478597397 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.14637965486269 0.148638270428888 0.0458290388638844 0.0470772263364487 NURBSSource NURBSSource 19 190 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0892788101460401 0.0329403809719998 0.027079482067936 0.00191236255515808 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0897399682699331 0.0332640121317186 0.0273310707908721 0.00195389750059207 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0893513222714827 0.0322653549845223 0.0272949382906869 0.00189832084803774 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0897894239082621 0.0319613545329525 0.0278623746102477 0.00196992130330421 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0937509157401596 0.0380891318929042 0.0289924966677262 0.00305518447291247 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103502384737975 0.0507720864650846 0.0315670592656018 0.00566030293343232 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0895222286303237 0.0340295836106658 0.0272408360033752 0.00203164403511292 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0903285986353957 0.0352152638007243 0.0274609106476419 0.0022548724244595 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0954357226522863 0.0428856701542193 0.028642483367768 0.00347295445691741 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.126939607326717 0.0843025359817639 0.0385989823249782 0.0152123701324956 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165400997827156 0.130474930467213 0.0603275150701003 0.0399220675504269 NURBSSource NURBSSource 19 191 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0818291386618321 0.0320617391694956 0.0015868052005078 0.000279471974466475 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0815628360151055 0.0322339655069442 0.00157266173663185 0.000277111533472801 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0819568929057191 0.0323802350542693 0.0016008154440028 0.00028710374206449 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.080983158887529 0.0325964648354834 0.00172086250800405 0.00033163188912615 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.082597486454276 0.035001682844918 0.00204291111047522 0.000739014489697404 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0827954776706459 0.0400190509703909 0.00276431234126108 0.00154498360777145 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0810249972277413 0.0310713993455637 0.00158781272788319 0.000318392576884853 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.081300872702946 0.0318604050571142 0.00160170562535052 0.000388234278939243 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.083062626837149 0.035607425551468 0.00192610818689237 0.000800704588104895 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.089620644084032 0.0626895224019894 0.00560370981281247 0.00625030706874527 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112216730492912 0.0968245897071944 0.0146111095538844 0.0177074901712753 NURBSSource NURBSSource 19 192 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0776251375091053 0.0775062280406243 0.012209402133283 0.0163898269440762 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0769956325198686 0.0774914624773276 0.0121786074696657 0.016457430132457 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0764650627524267 0.0776532838531618 0.0123067457001794 0.0165866402877768 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0776592133516229 0.0783230683840063 0.0124830649990523 0.0167398412462974 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0813918240257877 0.0815313629825033 0.0132903110684754 0.017303168296411 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0885027317918899 0.0879837561522676 0.0148547185989626 0.0185314357945271 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.078545567132443 0.0778047313428846 0.0124224823132252 0.0163265736027741 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0786402063169723 0.0784733623916414 0.0125402327274329 0.0162221562411797 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0831830996166881 0.0825095804698329 0.0131468435979804 0.0170675912516557 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109576829864027 0.10580566228614 0.0193975088295571 0.0225633115686669 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147000233158407 0.136311258741366 0.0349638367642362 0.0351179644410107 NURBSSource NURBSSource 19 193 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0334198945188705 0.0188541401103213 0.000433773797484183 0.000619417013338392 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0333236873528024 0.0186663173806789 0.000449220984500921 0.000593694824682374 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0332289406238398 0.0184383715066495 0.000452169237588497 0.000571579323951085 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0329864206673405 0.0187841991928334 0.00047863142835635 0.000625117315265786 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.034562209362423 0.0228940822462521 0.000794288021291148 0.000958038963322428 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0399226918953199 0.0314774927504966 0.00139868530074721 0.00191546200033748 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0338363359759603 0.0192844061028534 0.000430589433432256 0.000611945366705519 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0326626704757497 0.0191477466239102 0.000441749375826632 0.000678613601684393 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352738373974969 0.0241981874467228 0.000771532905891244 0.00115375186202532 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0588987839625315 0.0547431627897294 0.00532191389161552 0.0063587239453576 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0896653067252506 0.087785181510357 0.0151875266270068 0.0176883927042083 NURBSSource NURBSSource 19 194 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.023100685295467 0.0263789432983867 0.000269616784886773 0.000654727492028885 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229433469554785 0.0265347017545261 0.000275366727412273 0.000675131672276321 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229731722667278 0.026689137904733 0.000290322995561037 0.00068581756879569 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0238835676737597 0.0276795062042631 0.00034670386321957 0.000763966980786312 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0291972166350307 0.0327726492275704 0.000858825889341856 0.00122147400513387 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0387486447135641 0.0423571563134293 0.00192669029778493 0.00231079545805599 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0226700411715512 0.026038853614024 0.000322081669365069 0.000659184866325048 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0238722594191532 0.0275116741000413 0.000430454735216634 0.00077350680670842 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0292467072816115 0.0327736818002584 0.000931515488144199 0.00126527188695199 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0616044492843701 0.0634834866470264 0.00758388231905964 0.00745348120662912 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0982923819036669 0.100152817153215 0.0208817559108654 0.0207288106642956 NURBSSource NURBSSource 19 195 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0485454169605441 0.0167943950705226 0.00174027495904639 0.000155615978684 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0486421566971877 0.0171645258955827 0.00174884414591594 0.000157256317821485 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0488747563663227 0.0172811059945068 0.00175300470501728 0.000174164264800495 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0492777341527508 0.0176262166637797 0.00180847923244546 0.000199407772167201 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0533179439476238 0.023914505321915 0.00236824894169366 0.000744216790159924 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0590662946171062 0.0344281328686008 0.00344237329770746 0.00204324541167085 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0491134490575354 0.0169870119581783 0.00170055337260687 0.000185031676012126 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0505071768850684 0.019192021660139 0.00187007211165982 0.000358635444925348 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0538111091786101 0.0250449165147007 0.002413303999259 0.000896160851820272 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0751424201779998 0.0610547598866523 0.00771410331463722 0.00787538739614876 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10735294795262 0.0980919448345217 0.0203270440432317 0.0224692309507803 NURBSSource NURBSSource 19 196 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0525993240304378 0.0264218376623867 0.000306722204099357 0.000386549971514254 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0534840201482423 0.0272720600484408 0.000298801716835806 0.000383203415994142 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0536196386221379 0.027539958727252 0.000328816746390514 0.00040403834584894 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0531272950628933 0.0283979364208355 0.000422301424217136 0.00052755997259814 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0548116392457386 0.0385998078203417 0.00154910050875984 0.00185218540279181 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0668112036534185 0.0557522282373457 0.0040560189789984 0.00483762732672559 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0535848661991125 0.0274445043721355 0.000391079564767818 0.000474378813832619 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0531697547467517 0.0293390684348109 0.000718483860243257 0.000735289423598018 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0558688059486078 0.0393374937817339 0.00187136563475638 0.00216925656169204 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101904997742206 0.0966508377284853 0.0166097123486092 0.0196451260524379 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.16043921666502 0.158037480853639 0.0495939778301951 0.056024293669182 NURBSSource NURBSSource 19 197 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0327294799171833 0.0420523905239764 0.000147952767827526 0.00429939392212532 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0333388619746892 0.0420404606518208 0.000153529419954666 0.00428309090651172 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0336225157589082 0.0416772083947207 0.00017024243523451 0.00423575066458247 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0327001830554152 0.0425675466491795 0.000215991385803127 0.00433623069347192 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0340112221815179 0.0466405032613832 0.000659764617048969 0.00484633526539459 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0418365880937619 0.0542378434862168 0.00162703459807644 0.00619345708856547 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0331271121818895 0.0423442529394325 0.000221441326602851 0.00428482172085263 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0339669783544042 0.043845813235984 0.00031837862004596 0.00430852140439159 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0349633832994689 0.0472855970418651 0.000750368376155071 0.00482476981808182 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653829613664005 0.0740150627778252 0.00681280835448701 0.0106304270387882 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101681472243411 0.107514900670146 0.0206380998582282 0.0236969096098972 NURBSSource NURBSSource 19 198 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0214381893008032 0.0636399279061725 0.000536324782910856 0.0108492064671165 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0218128579033907 0.0635997917274972 0.000529665007810645 0.0107628794695373 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0219049112773117 0.0631951219635212 0.000526079990914055 0.0106566339398577 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0229941872173312 0.0638476730502815 0.000550552455127003 0.0106337721971005 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.027982842548494 0.0662266484618036 0.000942052689626383 0.0106823962296306 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0347931069156895 0.0693713116830301 0.00175844814881011 0.0113226674617322 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0220912185424781 0.0651220731427954 0.00056101931092891 0.0111140603331953 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0233398588656397 0.0666439919145759 0.000680454267723503 0.0115021021526889 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.027067479298186 0.0704892001155574 0.00102777548163246 0.0122056729273839 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0536497976704651 0.0931908816188449 0.00480745246133293 0.0184912029786816 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0843592188672833 0.118519869028728 0.0135505646017049 0.0283479093988922 NURBSSource NURBSSource 19 199 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271398312046317 0.0429345991968224 0.000167815621771049 0.00147468746568179 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0268227314927592 0.043056017513535 0.000180717367061332 0.00151456017978959 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0270023338294432 0.0428492903293276 0.000198860180267551 0.00149490663475296 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0276764068708711 0.0423343194938822 0.000264978018434576 0.00147743314948673 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341601034101759 0.0456231783489562 0.0011500786351377 0.00229525148846392 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.048249768551435 0.0564950731927994 0.0030977643117919 0.00428157058128108 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0286424153675601 0.0437712501722315 0.000241124706590751 0.00153656137469931 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.029494092971499 0.0439695054062486 0.00045558919981214 0.00172903799897371 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0376233110243558 0.0502605266211041 0.00143690874438643 0.00295478052917 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0843876617456528 0.0902122801403781 0.0136977821027787 0.0151926372311174 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.136302557614923 0.141497249944283 0.0407963241457588 0.0426185197645158 NURBSSource NURBSSource 20 200 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0840677580462295 0.0338911291185903 0.0259373854859465 0.00192180668615901 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0844434889278858 0.0337124450954492 0.0259755438436261 0.00191835690122558 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0846967423113345 0.0330342116275111 0.0260766959955059 0.00189586189600972 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0844535550715338 0.0330692735134962 0.0261174932632609 0.00198708474946437 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0870237559242058 0.0393105972996628 0.0264427084201289 0.00301549519792942 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0960532931081442 0.052029942936989 0.0277616808452355 0.00525927355760579 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.084446283835161 0.0353666420308379 0.0255907624479558 0.00208054440048239 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0857823558116034 0.0367787783751074 0.025579004201007 0.00234040644401941 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0900319966733184 0.0426008006021373 0.0262408694706218 0.00365277784155274 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.12715063698269 0.0878921597432065 0.0370206150252172 0.0171298803942534 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.172876856649211 0.137503252667682 0.0615775413516418 0.0432379773849883 NURBSSource NURBSSource 20 201 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0813141825070206 0.029443868081829 0.001587391342691 0.000342574768973296 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0817617068783114 0.0294741493448942 0.00159581007846035 0.000339168439729192 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0816075495879742 0.0304774477639749 0.00157031032044063 0.000330344907117078 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0810412072164952 0.0301877615764089 0.00163371617997201 0.000358197834224207 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0828023145696916 0.0332273255079589 0.0022887039526398 0.000761679198303448 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0855747426755349 0.0402419140022259 0.00318907574384193 0.00157132167823508 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0805623642811925 0.0296250259370123 0.00158700002452783 0.000372135429053391 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0802659153333186 0.0301831589305735 0.00170296561428863 0.000467973450583922 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0812651050228008 0.0348105471799314 0.00213022537992298 0.000870233853072588 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0919120789896434 0.0608556604501528 0.0065109660118409 0.00602248963091679 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115650136414254 0.0970632776651317 0.0162094566127096 0.0172435983122189 NURBSSource NURBSSource 20 202 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0788262560013323 0.0781323125511806 0.0118386120748308 0.0164199169645757 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0790112701124805 0.0780629314232015 0.0118280058516263 0.0163821108916099 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0785098555147482 0.0781626295799377 0.0119317844272827 0.0164579071899793 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0788303825966485 0.0779934046829561 0.0120354595781996 0.0164008400418926 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.081720312294207 0.0818797276549433 0.0121031918875944 0.0171732484214634 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0885950782425659 0.0911579803170045 0.0130497324785501 0.0194870804079443 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0786890962833512 0.0776781902912806 0.0120096355561783 0.0162501909362924 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0786449691793072 0.0784073755021796 0.0122275487950794 0.0164536633451001 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0808716795784567 0.0817941463992663 0.0132019128899037 0.0173996196673336 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112136514314977 0.111539927369916 0.0204958149394195 0.0254052244081832 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.146147603556489 0.148629576881366 0.0349686296057489 0.0427752234590822 NURBSSource NURBSSource 20 203 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0334985082213701 0.0188635335620733 0.000390033588822266 0.000610581407748646 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0340791178104112 0.0191676653142429 0.000363822689063464 0.000600822510614173 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.033713708164871 0.0188135876776763 0.000323147909340135 0.00058011766968699 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0326679143338896 0.0182148306507686 0.000315472288674647 0.00060055147684298 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0347659779382039 0.0239792689778231 0.00068872343195462 0.00106778382133543 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0399351005287361 0.0321224889999885 0.00149873992487147 0.00211141161553003 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0334485907119281 0.0190083100112814 0.000372569267474373 0.000631060373835288 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0337545079366439 0.0205456541564304 0.00045460747802492 0.000724455473538598 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0355157702923119 0.0256701942697513 0.000824871835028001 0.00123001845224241 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0605471368020764 0.057347996021538 0.00559035022858265 0.00703850442677813 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0950220580418566 0.0919863730701505 0.0172902728974453 0.0190208903220771 NURBSSource NURBSSource 20 204 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0239151420400364 0.0259236836810985 0.000282947597070807 0.000582039825378542 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0237127892969546 0.0260157250557496 0.000287695876318344 0.000597091165393064 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0236956446398342 0.0261796837971995 0.000308251938796051 0.00059663906417315 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0246128204893215 0.0270245590499339 0.000371166714227562 0.000666587160059068 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0303671619650988 0.0315976297059847 0.000971788532209794 0.00122092402000887 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.038958024744629 0.0402716692549579 0.00222116389235324 0.00244963265342327 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0248150965903417 0.0270121029613947 0.000337917607338624 0.000616503125659447 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0258263618875699 0.0276487871879428 0.000490719423037312 0.000705871298013087 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0305330311021716 0.032461456780376 0.00107610141069232 0.00127650475567835 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0657641597462583 0.0675494086904988 0.00864241548356815 0.00845198085233461 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105097375803447 0.105546221530459 0.0246797085678018 0.0235806826729496 NURBSSource NURBSSource 20 205 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0477006924773957 0.0167230407227909 0.00162066578305811 0.000168185309660601 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0476606833491558 0.0166746404335079 0.00160928092532187 0.000172397990834558 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0480217841135469 0.01720747108727 0.00159970855548382 0.000183070842322541 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0480295792585987 0.0174661500086229 0.00160155072350181 0.000215154135559579 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.051178278866754 0.023284037761535 0.00215114372249661 0.000765479185363634 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0568647127746785 0.033655120259468 0.00326553997000796 0.00202831514980097 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0482115576094709 0.0171669920915646 0.00158396669941279 0.000203008590984037 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0500679269658311 0.0191212243625698 0.00179772424517044 0.000344350798144517 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0540023050397057 0.0247088242602268 0.00241348049470584 0.000875505451769635 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0785472520187446 0.0624174732277079 0.00784397617044583 0.00824341040952178 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112551989752358 0.102018575970095 0.0201740470098172 0.0231324185519337 NURBSSource NURBSSource 20 206 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0538426206327849 0.0261725281614395 0.000323285493827837 0.00028782152544323 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0533702800922444 0.0263296076274668 0.000303623013206539 0.000319448700698063 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0529367652273795 0.0259321526825988 0.000335326049938326 0.000361680540661311 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0529845156348716 0.02690208849865 0.000471208668203005 0.00044248769004552 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0554557854733509 0.0387912179927193 0.0017011756596719 0.00184074214318196 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0655833086718527 0.0566684132260505 0.00429373352337979 0.00536808825952125 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0539942669021408 0.0272509555110316 0.000429583808498217 0.000345118526578213 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0545047874284176 0.0300537189728822 0.000718209412233078 0.000664010457883231 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0576182679037599 0.0393228062480862 0.00196348724270513 0.00204129635495294 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106437005149466 0.0980744176685488 0.0176694705205143 0.020108025003031 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166960693715466 0.162616783409271 0.0530232217988012 0.0600946505588499 NURBSSource NURBSSource 20 207 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0354239908694761 0.0391786526056991 0.000167001760102744 0.00324537636711222 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0358001434399571 0.0393136476986017 0.000169779471742786 0.00324716067811722 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.03524312022271 0.0398951320601627 0.000184604875671955 0.00332804531311713 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0356002557821358 0.0404957543912996 0.000221196901446752 0.0033990588663157 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0386791324762388 0.0461190057397204 0.000710150401504574 0.00373890569202975 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.045619883628452 0.0527473959950378 0.00171928855833124 0.00478708409143445 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0351391467567067 0.0391626772990848 0.000193982359926032 0.00324707731558539 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0345471099387496 0.0405470104298859 0.000331441486352143 0.00344746757008488 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0375034159774408 0.0457771531568682 0.00084384008129351 0.00412456576009502 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0679212863361548 0.0742119286098294 0.0077717620562495 0.0108278711472312 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109284644657642 0.110090818324163 0.0232922498238291 0.0253099284075692 NURBSSource NURBSSource 20 208 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0194190536656104 0.0605995327808868 0.000418863256063589 0.00839904124137526 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0196205712029899 0.059985658831297 0.000419353265838501 0.00830204708755594 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0196068963175155 0.0599694582503552 0.000427636677599362 0.00834922418599344 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0203500068990434 0.0603414604010409 0.000475003428771478 0.00844761208774073 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0281328846904986 0.0643537757463905 0.000902850129638689 0.00896505738685443 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0374700442707733 0.0709203864206806 0.00182027841216178 0.010651046527429 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0210213455969315 0.0613219327364342 0.000475194702979973 0.00864027729336898 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0232826132364627 0.0629082145343109 0.000608632431284218 0.00898542827417103 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0274122554240051 0.0665421841826699 0.00105273092030128 0.00991358246627643 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0569922365008463 0.0882293447105852 0.00601866117655864 0.0168345784591938 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0910594472223933 0.11617215095313 0.0162171464425782 0.0281824991205773 NURBSSource NURBSSource 20 209 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0307804243912072 0.0424971346589682 0.000285956877422891 0.00102039575362264 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0304082490921065 0.0419928422262617 0.000265030152230753 0.00100219058447785 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0302026292268407 0.0416803371188531 0.000292057452614343 0.00098752920300293 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0314828404362886 0.0426758086799171 0.000396675912262984 0.00109654365262809 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0405046140343093 0.0488564962084341 0.00138355172765252 0.00205820394599216 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0545926436175671 0.0595933266472111 0.003732478876323 0.00426995839602426 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0314618443935034 0.0430271317692817 0.000340098087117194 0.00110402005453559 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0310315781558956 0.0419165999327727 0.000517523949918489 0.00132427168916541 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0388082011515489 0.0476941400508042 0.00151751900518196 0.00231742839605624 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0883658117208773 0.0911543150955865 0.0146542738541338 0.0148839554966358 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.141582462540843 0.143004808285335 0.0431017407740282 0.0422202443751633 NURBSSource NURBSSource 21 210 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102698250648022 0.041120405013474 0.0329573908506442 0.00698559532472546 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102567366113347 0.0411039728855235 0.0332284091638003 0.00711901669135091 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102978531827691 0.0422849403756326 0.0332746172125592 0.00758546854804303 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103436018426366 0.0441984798743158 0.0336378433245544 0.00802679367827316 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108148182210978 0.0534846850058005 0.0356220641976437 0.0101784248214693 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121421482422798 0.0662892020612317 0.0418796889071503 0.0146133281296586 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104718030061779 0.0423468715502964 0.0345786821486511 0.00750645338123907 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108488486229303 0.0457566380496515 0.0362183091747447 0.0080158962543297 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113995274148111 0.0543151688522781 0.0391689187541045 0.010071939210906 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151105379351832 0.0998057334184845 0.0576120445675068 0.0294836598431049 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.192315942857973 0.1496657805715 0.0847530591888634 0.0606337375662363 NURBSSource NURBSSource 21 211 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0940644130866592 0.0924465854208626 0.00891195764387569 0.0332152067138745 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0949012770723188 0.0917642962211315 0.00935679740281387 0.0331891836048566 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0956187762386965 0.0907599423752656 0.00970317625224435 0.0324442310783551 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0967272846551799 0.0902241687947715 0.0102152253458999 0.0315016149808985 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0989211721098427 0.0896143290238947 0.013335624567576 0.0309970695275181 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102615226790709 0.093645861947472 0.016836060720009 0.0335572954211652 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0939127399124446 0.0963429541903504 0.00867544916528059 0.0358941326956862 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0966493829141379 0.102972087466968 0.00940892496816935 0.0401329822328766 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.100728133447947 0.109908448447926 0.0101942560085906 0.0403219812758784 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131442149966 0.136299894510374 0.0228090809089915 0.0545258757077315 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17736142407597 0.167191290804869 0.0504818944767812 0.0708824959150483 NURBSSource NURBSSource 21 212 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104172221340809 0.169450298388513 0.0223698622421651 0.240030053845534 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104053781291398 0.16940919107805 0.0222345001030336 0.2406984953952 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104512985438226 0.169773827622784 0.022460079038085 0.243479907773425 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105743134719774 0.170867482988295 0.022504387621554 0.246126935397361 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111582251057542 0.179431962684636 0.0236676641629669 0.266722684045268 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121269852490973 0.194015474328032 0.0254006074353839 0.298164467954997 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103804333110791 0.168378753551102 0.0227984005743741 0.236778909938975 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104258477388722 0.169564468305772 0.0229992749269449 0.234011391435784 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109433660534303 0.177460397904284 0.0236047135193032 0.240768417266047 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.135525359527327 0.207166369151828 0.0305226087615339 0.248473784757847 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.161044684972637 0.238254199014871 0.0456093537954095 0.24204140245181 NURBSSource NURBSSource 21 213 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0388375443125245 0.0289963935792645 0.00424930195018072 0.00255301915174298 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0385238129902383 0.0287316136817211 0.0042517782517169 0.00255579918162018 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0387954263218708 0.0288897051172233 0.00426836850075963 0.00259064002358842 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0394225420719679 0.0295587908010024 0.00430431383560437 0.00263171439022288 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.042669153964962 0.0353374064604903 0.00514852341981392 0.00338000456368523 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0496817412148434 0.0432227017253641 0.00654649542991245 0.00454412830423243 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0390046325609451 0.0295375369484329 0.00406909452954801 0.0025852168849455 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0394938534491703 0.0311630455241749 0.00417993761445919 0.00277895109769886 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.041452386495409 0.0366737074787066 0.00447514772123892 0.00348935049043081 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0697071230204 0.0693316897321541 0.0108434712125105 0.0114085318339374 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104584961988562 0.103349547265719 0.0252891636572346 0.0262234352285272 NURBSSource NURBSSource 21 214 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0267418220808726 0.0329321295790291 0.000840642784955596 0.00250403490872146 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0266713878322155 0.0329463909305527 0.000829622156426923 0.00246729365243866 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0270878489391079 0.0330317548380624 0.000861652632444234 0.00249432611070712 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0282990816814987 0.0328848048572481 0.000965741790577214 0.00239223596974464 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0364935811779797 0.0390833242532127 0.00189779638583306 0.00266551674753742 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0472199600207462 0.0476161376509241 0.00378887144734429 0.00410883690205733 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0271538632073589 0.0328567259251626 0.000936077412525364 0.00263916259698875 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0292605972333177 0.0340821961579187 0.0011677473836351 0.00288501484687474 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0347995820402058 0.0384630356128333 0.00192707094484101 0.00375685492256735 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0694625634922033 0.0739746985168022 0.00979508714048454 0.0118709630852625 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111741771083035 0.115237381859809 0.0290339929723878 0.0287735838538516 NURBSSource NURBSSource 21 215 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711620210098153 0.0223416521348476 0.0060665565066603 0.00134737608716721 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0709111153428472 0.0219806971690794 0.0061953239942291 0.00136261429525003 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711209504418902 0.0222989756888352 0.00633845079838743 0.00141874960063402 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0718455507286059 0.0228393804524106 0.00671307169291898 0.00153253775195973 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0764930430588194 0.030493907128708 0.00832797709463716 0.00259879795362021 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.083327889995863 0.0431321036733792 0.0105246868610789 0.00478566069835018 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0702230703107516 0.0222099658355006 0.00601722636758484 0.0012980433550306 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0703640546321665 0.025431948832945 0.00591123688742787 0.00153909194439303 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0712035115459021 0.0309637405547626 0.00629692689945515 0.00213227970187198 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0919284551576358 0.0714753084298886 0.0129273139662135 0.0122928597512765 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145156105979711 0.131417675686914 0.0498198554884715 0.0505854610017846 NURBSSource NURBSSource 21 216 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0575347810196532 0.0260034081225913 0.000562513402697717 0.00112129337716159 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556084704097208 0.0252124047269902 0.000614722628663622 0.001011848767752 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0540789279447142 0.0250431337298884 0.000751874664053743 0.00112191073107245 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0549571914471383 0.027149535413947 0.00126353530518176 0.00138083441157155 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.061771286159113 0.0406271984803813 0.0031532636331998 0.00284894002950395 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0767513938606331 0.0604314189761816 0.0064768877110317 0.00657589739571482 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0542637225618171 0.0254830867698221 0.000638259863653993 0.0011184135464386 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0525983715678334 0.0275814056772187 0.0010848466213163 0.00140677182064177 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0624382517446814 0.0420542210522627 0.00275611183405282 0.00304452258258744 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110898808054873 0.10304756289158 0.0195254393485795 0.0218028827441764 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.171263655444175 0.171852261562505 0.0546265973195039 0.0618799102994491 NURBSSource NURBSSource 21 217 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0392621827794439 0.109423221456358 0.00173063729207733 0.0662427277835234 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0388808634772558 0.108289638795882 0.00172806469379498 0.0666139347665204 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0395241739281967 0.107295100529342 0.00173262183152537 0.0656922693921054 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0396512347086629 0.106498716651712 0.00186941825248854 0.0648757223962354 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0433849533783387 0.11046579719634 0.00254358040211602 0.0678900734609641 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0527650343432559 0.122062397867082 0.00409720667212115 0.0770410529464597 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.041372419134104 0.110081130089649 0.00175114777926815 0.0680195770353879 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0426094763276371 0.110984564359567 0.00195038891326661 0.0710955200813762 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0476323749932843 0.116692736627861 0.00243179747388249 0.076404082051887 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0780399416521489 0.149697277469648 0.0088620009361968 0.113072905413305 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114267164123109 0.184841974518302 0.0244559234383258 0.153911711577848 NURBSSource NURBSSource 21 218 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0334831919981527 0.101673025120074 0.0023206232685543 0.0349877818650106 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0331759950341449 0.102092823296235 0.00230374901209344 0.0364421097448424 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0331923830040119 0.101830472988947 0.00223672148000546 0.0367913718599483 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0340973728553798 0.101837725233112 0.002280784042118 0.0375608713288196 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0435339246396802 0.115550510240981 0.00309756704283622 0.0596825344852288 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0484089644410218 0.119680783131067 0.00411558110411094 0.0669403895527984 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0329722379125339 0.100807574497239 0.00215963591586872 0.0351382468411448 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0329783406508755 0.10194632988136 0.00217907621651256 0.0366796284032761 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0379269300754323 0.104730700667322 0.00251723895023849 0.0392610246083983 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0689205605086348 0.124181449782965 0.00980135910285435 0.0637056326990694 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115428432093028 0.161266855887495 0.0293149478076448 0.0993871263129424 NURBSSource NURBSSource 21 219 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0367635104411236 0.0674585269571392 0.00173734580142264 0.0159619343240841 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0364903659327402 0.0671365346551948 0.00175223204675383 0.0157475330407392 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0363507926839953 0.0672335034501818 0.00179314255699604 0.015423446237785 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0367962218954836 0.0668147594832547 0.00199854344294389 0.0146180728929882 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0466432795435692 0.0685364307649324 0.0033470480161565 0.0118335062369717 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0605928339750957 0.0732315794199705 0.00612979996065784 0.00956362562768886 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0376690751815568 0.0677872778473886 0.00189054186706876 0.01677457281357 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.040502032119504 0.070518112414457 0.00227747038228166 0.0175709007799376 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0497263916473895 0.077577850881357 0.00375327578460036 0.0196473286214983 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108593488924729 0.132013678065563 0.027737793135053 0.0427487564769501 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.164517890416741 0.190806013443858 0.0619691012871699 0.0791618154935073 NURBSSource NURBSSource 22 220 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.139568121034844 0.0344815913648512 0.0569478014717881 0.00435955926386235 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.139403434886651 0.0341700367188133 0.0568806333986432 0.00425316264307409 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.139421335591576 0.0344349758519419 0.056700411553084 0.0042943170284674 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.139750371847549 0.0347762727918541 0.0565613212012906 0.00430327171607283 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.141060571851527 0.0370722983411799 0.0567986316182054 0.00473548393102794 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.14262961733758 0.0406471204575372 0.0570374076510212 0.00534722423173284 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13967989097363 0.0346391943840503 0.0568473562203231 0.00434382916769214 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.139813165232381 0.0353027544893393 0.0570470564224811 0.00457767003803319 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.140592978091782 0.0370257018172643 0.0568386230075227 0.00494402544713487 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.149857327445178 0.0519746999163241 0.0593171405041882 0.00826987494402543 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.162494855680114 0.0737679029542999 0.0632854780948641 0.0163103607730503 NURBSSource NURBSSource 22 221 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0887870996629334 0.0490259541110075 0.00488023443392336 0.00407911105364885 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0891463619398915 0.049518619270071 0.00491137284637179 0.00412697957045671 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0890243116178144 0.0493897068284052 0.00486923772198707 0.00414077065441641 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0892067187071243 0.0501789633215914 0.00478198786448073 0.00416626528624094 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0876652613601117 0.0504927298066827 0.00468702782989979 0.00445365309267224 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0877364592314849 0.0526578917100494 0.00492001560627968 0.00509878762510951 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0887705706574997 0.0490147503058066 0.00483432686202939 0.00411515951955938 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0886384499913201 0.0490197032313402 0.00487269454451755 0.00412329262875753 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0883538154482747 0.0495563964834892 0.00488281978655901 0.00437606165155293 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0897194992722894 0.057596267446242 0.00591201066525354 0.00590594201811018 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0973806112273196 0.0739418080367706 0.0085801384409235 0.00976846095047168 NURBSSource NURBSSource 22 222 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0956702226309609 0.17870057807973 0.0189954663538385 0.210880555115828 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0962297077925193 0.178377597716407 0.0190056821159191 0.210397122230038 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0966487010132735 0.178160756900545 0.0191178596890006 0.209910527670861 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0967593123563403 0.178327600629892 0.0192727106350847 0.210315492984532 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0991419009020127 0.18012793443933 0.0197061752376688 0.212144960153129 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.100933280411395 0.18229886273751 0.0202669874736582 0.215184676692319 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0961443423082475 0.177906829033911 0.0189615404314614 0.208221463590467 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0961026602588691 0.176935276145697 0.0188499315336123 0.205527536524137 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0971152340430408 0.178491925122514 0.0187588400354174 0.205790631828441 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104860799947595 0.18254284676819 0.0198948416756617 0.192531375829137 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.116195563648584 0.190180113868322 0.0234744435049987 0.185407295970796 NURBSSource NURBSSource 22 223 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0337624449834783 0.0249156092934232 0.0020595531395226 0.00188147806458336 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.033704253783985 0.0249691167066536 0.00204598027769678 0.00187716108640337 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0339511203094485 0.0250774361243481 0.00205287309845515 0.00185818739750975 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342528404950757 0.0252285476959368 0.00208762926552641 0.00185835046291842 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0351115335701465 0.0273899970832244 0.00223548456073322 0.00211899205771087 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.036077781464705 0.0295545278720814 0.00251754125349209 0.00249053735644419 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0340363714613621 0.0255460535941692 0.00205118650372339 0.00197171703985213 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0339005383494735 0.0259328883929109 0.00208417985970792 0.0020625503668023 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0349245571383125 0.0280873082404212 0.00225262281386067 0.00239962281147715 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0427792064207607 0.0388892995940359 0.00360193409252224 0.00431789379169703 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.055056941875789 0.0530600499729588 0.00625432041443322 0.00759056985368377 NURBSSource NURBSSource 22 224 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0366950860092974 0.0497748151176008 0.00396764701976139 0.019070129161361 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0368442045355618 0.0500360018229749 0.00396438010835236 0.019157835262987 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0370257740836173 0.0503847380632061 0.00394858803150437 0.0193301975355876 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0370459188144157 0.0503199008411852 0.00394411036959152 0.0193501972169347 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0384573787528503 0.051809842681176 0.00402255187352975 0.0197405105516115 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.040481377860228 0.0540881977615481 0.00417017041284694 0.0206031502897382 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0362859034939277 0.0492858445184035 0.00389965543755933 0.018827087577551 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0366326495939845 0.0493710770441661 0.00385843604651899 0.0186031967186408 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0385363551904528 0.0508339583464314 0.0039321081766034 0.0177633816590484 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0486977414060021 0.0607274220752192 0.00520425619560998 0.0187842074484064 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0625001804869852 0.0726458068701166 0.00799661886671002 0.0186627475426013 NURBSSource NURBSSource 22 225 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0624205261721789 0.0236042818075977 0.00416399939939483 0.0014413546001773 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0625699027240248 0.0235826534801907 0.00417738684969957 0.00146392240431912 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0625790408674383 0.0237204858097771 0.00416755436996062 0.0014851896333765 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0626409441711998 0.0242984312014475 0.00412801409968644 0.00153877711963938 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631511918322759 0.0262301145986554 0.00417074352801475 0.00170127688392151 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0644563420588973 0.029568308707265 0.00441777750649313 0.00200548997256011 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631211460780444 0.0243602101574314 0.00410099719356785 0.00148167774709904 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0635716691616523 0.0257150101015181 0.00401262517629951 0.00155485991081435 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0634318371454794 0.0269925406266172 0.00404910165896386 0.00173583105326901 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0703620791668549 0.0415853477857532 0.00552180904304839 0.00391454358854237 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0808288167956852 0.0595912142279607 0.00896169019193363 0.00826078020960139 NURBSSource NURBSSource 22 226 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0591199573238884 0.0216249814363034 0.00190165594809012 0.000716914803512911 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0592960078636105 0.0214796838211275 0.00191274596437534 0.000706860108351228 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0593540385812654 0.0215485104283686 0.00188343374618025 0.000709150459364394 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586931464129481 0.0215220535240429 0.00192381338383826 0.000758147873655997 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0595410258106702 0.0257636457815419 0.00219266215383852 0.0011669393168475 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621055090630137 0.0321279918381009 0.00273641178032479 0.00185905943955495 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0594161124737998 0.0226884989644203 0.00189273992951519 0.00079590546923502 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0594586671765602 0.0236369389661637 0.00202906455226368 0.000903311766986785 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0616244286961048 0.028549326600754 0.00249866571551587 0.00136169091470354 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.074516514604654 0.0539045215599922 0.00619760180224534 0.00659621464383442 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0977465720623555 0.0840318019093935 0.0138283604597899 0.0172132518819606 NURBSSource NURBSSource 22 227 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0475225069388039 0.174414490479709 0.00147692130040297 0.205651070754535 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0478910551582969 0.174810496491321 0.00148253506653151 0.206351378266235 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0480575007749876 0.174803852058743 0.00149356558069739 0.206571579329065 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0478942541374539 0.175467935833284 0.00148717703403563 0.208232295158876 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0473176557673863 0.176867550681963 0.00152580496363099 0.211987843750591 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0480948346536976 0.180117258903292 0.00179737591255426 0.216974575058419 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.047259304673472 0.173306934748012 0.00138648050902891 0.203417555336607 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0469270990432255 0.173213368943179 0.00138649559500287 0.203632315959244 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0465636205932607 0.173480498486646 0.0014564625300364 0.202207893247943 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0527476403374035 0.178162857107053 0.00246515176800459 0.196896147235437 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0630292559498214 0.187399003674863 0.00478456914803958 0.198532435429972 NURBSSource NURBSSource 22 228 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0628551230217021 0.264809592618157 0.00655325976996384 0.495044763694538 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0624131907381951 0.26503386313287 0.00653556367359294 0.49635852617219 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0624817209427708 0.265039742390437 0.00655279682956623 0.497244982424433 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0628351977417766 0.266157410258179 0.00657988937716278 0.500283976345815 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0632186708723523 0.269427373984541 0.00650639911200917 0.512697978490037 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0642155122123788 0.272793895571699 0.00660682022919092 0.523258461410268 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631320336902449 0.263891535664999 0.0063748890661438 0.491258993681833 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633084975133867 0.262895126189482 0.00635333789673572 0.488394182964588 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.062980556320134 0.261131459189391 0.00621600753002385 0.48427155428157 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0641747133544884 0.259435880474269 0.00671483988817478 0.475760834958692 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0722057237505743 0.258095849491916 0.00879275250320422 0.46757612035403 NURBSSource NURBSSource 22 229 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0323653155360106 0.0595916765461993 0.000494669942391684 0.0104631616952118 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0323398554748226 0.0590987216907264 0.00050727973389264 0.0102780737604761 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0321041331777872 0.0589545036110706 0.000512839186983653 0.0102999416100961 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0322739518663686 0.0591359047431552 0.00056392111048858 0.010379711197403 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0338903448802615 0.0598004460532364 0.000836023145842937 0.0103487589965325 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0376416611522369 0.0616376280333868 0.00136679946016192 0.0107596476618526 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0322836685536991 0.0594375779078844 0.000532739926187075 0.0103881464257508 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0330372366962677 0.0600219068509178 0.000591518520769115 0.0103861665215483 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344963087146285 0.0603330663526442 0.000839683723695614 0.010419623833332 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0524079222961597 0.0724662405750924 0.00389127407917102 0.0134311522028492 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0767903957103355 0.0926231046477592 0.0108180408342967 0.0206442788978593 NURBSSource NURBSSource 23 230 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128052009490946 0.0318938997740511 0.0474280709972396 0.00342826832055865 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128611213018804 0.0321265969681811 0.0477896378419999 0.00346903249702128 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129218743426719 0.0323601592631643 0.0480599679279267 0.00348545413311045 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130081370276551 0.0327494042341464 0.0483952384992475 0.00349547072772748 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131846869827637 0.0348794203800415 0.0488079075119271 0.00376495993874957 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.134359041362693 0.0387413484005231 0.0496060927812578 0.00429490114632319 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128755621385966 0.0318112494732269 0.047566829475055 0.00340552382248028 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129160077174429 0.0327692278725559 0.0474545804564603 0.00351324290351903 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130912173863379 0.0349790937218133 0.0476526246722522 0.00380500441648954 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.139535164467021 0.0500668527655453 0.0478576614211556 0.00664246644365968 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154290792079723 0.0725404950444661 0.0521302917616942 0.0137243380783986 NURBSSource NURBSSource 23 231 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0828224827491243 0.036088013427761 0.00463167514881697 0.00187443080041896 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0832673723448186 0.0366213244130398 0.00463297821875536 0.00184723906882373 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.083460043698481 0.0366525192136753 0.00462740654634765 0.00182330295719824 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0835849345007991 0.0365446472947145 0.00459998906411164 0.0018617781033999 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0869562320271922 0.0399676483608248 0.00491781400203171 0.00225657056620817 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0899894080885585 0.0449065207663535 0.00570220902835935 0.00332548697324084 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0812966085165966 0.0369006624272535 0.00459899548998736 0.00197275197830486 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0800128055937132 0.0372828437471857 0.00477205012753888 0.00217613989169049 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.081415606971414 0.039136850355838 0.00512355829696596 0.0025225456478628 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0848663825783634 0.053112336778128 0.00745432189270786 0.00590218142779082 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0947764067835378 0.0716379398996699 0.0117236700301689 0.0122126293761025 NURBSSource NURBSSource 23 232 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0945542055110531 0.217830065681751 0.0149056616267891 0.315186007419989 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.094411034639184 0.217047884360794 0.0148980560118564 0.313398817188594 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0945198354220839 0.217653655160053 0.0148557351524459 0.314473169058663 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.094487926726782 0.217265865609584 0.0147167152801799 0.313236053929271 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0945510543596731 0.216075670042919 0.0146025551860784 0.308237588535126 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0961696923935213 0.216232709861258 0.0147856997492566 0.3055799823215 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0940372847682501 0.21686324420551 0.0148403484637065 0.31089246967482 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.094595224758746 0.217006887817602 0.0149386696772227 0.310565988656232 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0950820386718286 0.216611347285159 0.0152260450489789 0.30690860521688 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.100693164569084 0.216523926181111 0.0167896810318526 0.289602354916946 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110043688421682 0.222957333682263 0.0200021858834264 0.281558889515369 NURBSSource NURBSSource 23 233 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0354219376973125 0.0216673005861842 0.00140464042917603 0.00113729229073621 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0353513755210859 0.0217958970256478 0.00141128129990312 0.00115916034710191 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0350673612884364 0.0217216252299666 0.00141149460335589 0.00117495131807446 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0350310929119747 0.0220349889439669 0.00137960793132575 0.00118973381605137 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0350060577379558 0.0237981670283196 0.00141629475359045 0.0013804424341823 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0365397601214353 0.0268298904980363 0.00158487730486087 0.00171244153379812 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0358728375050294 0.0223627566346617 0.00140949278164176 0.00117039235176034 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0357413237230495 0.022924447628938 0.00139403532184937 0.00122089186925245 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.036041669818241 0.0252166915875436 0.00143959061806059 0.00143818255331923 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0406720974434887 0.0370546375482329 0.00236257802495822 0.00307648499906713 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0519979410123034 0.0536734510903414 0.00460201692335784 0.00635134781989147 NURBSSource NURBSSource 23 234 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341634193938431 0.0400409434750387 0.00245323471702523 0.00834741676220577 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342623218771558 0.0402978943577949 0.00246259870075776 0.00841112778565261 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0346433958476542 0.0407686819957004 0.00247590991006303 0.00853643625929245 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0348035814186045 0.0411115627942261 0.00248159818520665 0.00866070584060746 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0365682974597883 0.0426656326781922 0.00267437483780174 0.00916811258195916 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0388526937252194 0.044956453308284 0.00292597745785086 0.00952141358145997 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.034380379842674 0.0402882744942795 0.00244160852263858 0.00853970693435336 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0349791942740202 0.0408069870514836 0.00251562658805838 0.00862893380129678 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0364886106267304 0.0413893711845009 0.00306676573911979 0.00872146312809506 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0503947637355415 0.0541398084689673 0.00591559397426313 0.0110557838315503 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0681002457266023 0.0698266432338203 0.0117020205079001 0.0152280294071215 NURBSSource NURBSSource 23 235 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0563595513255756 0.0213013937418879 0.00329365973894438 0.00117371743569222 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0564484970010267 0.0214959043037898 0.00332516858467309 0.00117748700514589 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0566671351834294 0.0214794164614154 0.00335656969349531 0.00119713999763871 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0565766750789883 0.0214547474769363 0.00338959143062318 0.0012403552378861 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0584168754391675 0.0233566246425919 0.00359357189634063 0.00137747874635982 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0612893191597823 0.0263482162384195 0.00398184791556349 0.00166120352589544 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0572315805734411 0.0218596679000558 0.00339930782168571 0.00117984860538512 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0563823992625302 0.0219791883111428 0.00339807885029086 0.00121339296473346 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0572020225395447 0.0234242477923384 0.0035097581379937 0.00133041527004516 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631518544758128 0.0361571643334944 0.00494517394685336 0.00300858249700199 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0761142928086109 0.0536302737192375 0.00843889703767741 0.00674158724159581 NURBSSource NURBSSource 23 236 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567016851203776 0.0265295088122929 0.00113027501467611 0.000595774521022075 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056864713658148 0.0265487495516111 0.00112518908994843 0.000587011794908682 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0574092708448376 0.0272233643038288 0.00112978542555083 0.000617543425798803 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586063192969518 0.0280305713026053 0.00121743623676925 0.000629734991647259 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0594384798168033 0.0299802035801641 0.00167130170485407 0.00100444791403856 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0621061700348273 0.0359522946629677 0.00253965899253419 0.00173806569015895 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571850787151808 0.0272226285645625 0.00120897522649392 0.000675377543219538 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0577231002369802 0.028030667523589 0.00137327525886499 0.00082852105538969 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0582548550762935 0.031615304759348 0.00163544323461882 0.001307049663195 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.070129877727393 0.0559674435267057 0.00507037118554276 0.00632865146765624 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0928053564905788 0.0857372025274128 0.0133914127023211 0.016899673539114 NURBSSource NURBSSource 23 237 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0452234038545429 0.135059040824934 0.00115519405408614 0.13282751827794 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0453365166142669 0.13510412621892 0.00116950664320549 0.132571282696904 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0449711370872349 0.134862680250035 0.00115801231306184 0.132225650156915 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0447844862280598 0.134862465440563 0.00116736692267135 0.132017141656059 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0451069759430616 0.134398793425304 0.0012734331954555 0.129417237858999 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464399463163679 0.135413009435438 0.00152680979647945 0.129955480770224 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464387515171394 0.135461800798124 0.0011495407767876 0.13173686785312 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0461889461810191 0.135377636616569 0.00114303456981633 0.131290747566028 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.046445839555228 0.136006529980665 0.00128179941131731 0.130343020231222 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0496233259922212 0.145675989461262 0.002493011161711 0.134784555400628 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0652536029473316 0.157012233020806 0.0054080439296868 0.138850960138734 NURBSSource NURBSSource 23 238 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0461974925642899 0.21177312972906 0.00386417994618413 0.309260899686243 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0459522763640505 0.212113061557385 0.00386308830686797 0.310330101083126 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0460315532669964 0.212983628313663 0.00389974832519961 0.312057168506593 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0458350459542433 0.213518349630452 0.00395615249080226 0.313214095121393 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0469334388471493 0.21735752668324 0.00411675406500139 0.320691900767827 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0497274012976106 0.222254538442244 0.00457487880355693 0.328809769731052 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.045892537554862 0.210647073618225 0.00382066044763 0.306545739106639 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0454804429868502 0.209725788746657 0.00383437950359637 0.303656315387183 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0457526430154725 0.207706023909682 0.00390222071997049 0.296393284169122 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.055331182614793 0.203959474490197 0.00491125944295825 0.270638768713763 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0682158972905817 0.201391594797913 0.00757636917573109 0.247937714406855 NURBSSource NURBSSource 23 239 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0315283230875273 0.0520355250601521 0.000447845502587585 0.00628834806497502 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0313057508240774 0.0519894232572853 0.000461828910855688 0.00632097614991563 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0315889956307587 0.0520414217111538 0.000454199481745334 0.00626432531592708 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0322786124930094 0.0524511802004778 0.000489918983000414 0.00624573712686285 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0336430865754667 0.0537639828205393 0.000720569639436921 0.00662511161578555 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0365095555442404 0.0555810036708725 0.00120216194918347 0.00719106216892512 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0320944789542993 0.052494611217149 0.000456784485583171 0.00629105559164279 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0326096188167862 0.0531163948515822 0.000506632351747149 0.00636226607662304 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0336775521961859 0.0546949471162628 0.00073759184070317 0.00691520808666426 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0501801128887395 0.0659270332966564 0.00362990814902281 0.0102897496106318 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0756648668456537 0.0869461792782902 0.0104847167477276 0.0175400967671521 NURBSSource NURBSSource 24 240 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.127665465331869 0.0327029224783328 0.0456929217387019 0.00318648164829059 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.127539166861659 0.0326217691555508 0.0459123585776064 0.00323273923823146 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.12690143645544 0.0322498926430253 0.0456462437320467 0.00320336169391212 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.12681044859616 0.0322102374869583 0.0455688296461104 0.00317082511974946 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.1271949096516 0.0338798115954931 0.0453215888196676 0.00342416286463675 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128606102398571 0.0372139967798226 0.0456516057945982 0.0040597125592938 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128606030059184 0.0326141843770454 0.0468428409911337 0.00324498419574818 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128721102682462 0.0327543431602356 0.0472410321219241 0.0031950825842885 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131250449428745 0.033766900850305 0.0486615322661226 0.00336114812373128 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142210939592001 0.05129832605703 0.0530494645390658 0.0066517355306042 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.161880743115569 0.0781976278962863 0.0635600653532263 0.0149864968871959 NURBSSource NURBSSource 24 241 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.081065407214554 0.0360187169317343 0.00362801745999215 0.00179764918213039 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0815381448210878 0.036650373047306 0.00367690143986806 0.00179995140767098 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0817460299792481 0.0368290466850733 0.00371632465047283 0.00180402502959728 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0817653204615274 0.0373613636419861 0.00373336039773633 0.00184683130249848 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.083423213660578 0.0398553829447583 0.00411046689160427 0.00204871017241152 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0844282949684021 0.043115423983602 0.00483335479609446 0.00255809526512319 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0808752409833938 0.0370945382895355 0.0036398053932443 0.00184836665013882 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0798657830221639 0.0373588797978422 0.00371699895333984 0.00201143167421897 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0813422463326047 0.0408458673955066 0.00412500696193187 0.00246706539910093 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0911848714927428 0.06557931588884 0.00848176820953716 0.0100833859463906 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109240145241593 0.104032615610538 0.0192547374101163 0.0325381713064789 NURBSSource NURBSSource 24 242 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0918199060432286 0.208309636486368 0.014479255941603 0.289443878277741 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0923669657877774 0.208284399743027 0.0145605470799331 0.289271684684677 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0921265382081768 0.207604025915523 0.0146039482307438 0.287277777540482 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0923022201550199 0.208412848648472 0.0147075081225318 0.289402004602359 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.093074918024631 0.209805358298012 0.0148874055749719 0.289804397332976 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0937047157011752 0.210543500861862 0.0152226138834965 0.288534721493604 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.09216693229876 0.207779085617916 0.0146152659186096 0.287357307506331 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0920767184521129 0.207536090338028 0.0147802645699763 0.287036641485083 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0926964717934857 0.207218274241417 0.0149510898325176 0.284707240666673 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.100968084324327 0.21303128399877 0.0171278754965916 0.28610262327932 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111631664147536 0.219066208611676 0.0208886415618544 0.274728324037558 NURBSSource NURBSSource 24 243 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344576489353501 0.0226903029554953 0.0012272281815489 0.00119515862122955 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342073542278283 0.0224028608670151 0.00120892114539292 0.0011909788220977 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342467610540496 0.0221714110737469 0.00119637989222686 0.00115831351406184 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0342135508541552 0.0221660900698489 0.00123525247830857 0.00116000537316713 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0350920623666874 0.0242689772333549 0.00129000272391436 0.0013086396378225 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0366215916120499 0.0275297351426748 0.00141185853295596 0.00158600800565196 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0339739962654523 0.0225887856654175 0.00126162932209619 0.0012402638063875 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0341867487058963 0.0230410243827287 0.00131195890187029 0.00126835070528495 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352839873054601 0.0251896981816324 0.00147879120531957 0.00147793789746702 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0446925936999911 0.0379396988807587 0.00318006481266229 0.00324884596974158 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0604164394647452 0.0548494578202356 0.00681147967938991 0.00668115427713607 NURBSSource NURBSSource 24 244 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0329827564769964 0.038438525607011 0.00224019781227354 0.00715386997528635 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0328701397077106 0.038299688260153 0.0022378327551564 0.00706185135734332 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0327908396513872 0.0380780828793797 0.00224150728251894 0.0070184710998901 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.03306037325659 0.0381692929011992 0.00231472576584968 0.00708564611448654 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0350740409890529 0.0392985963968283 0.00249813092315826 0.00705804076188501 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0378837955081827 0.042027160422389 0.0028582899177047 0.00734415141433793 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0330987558046509 0.0383789297986438 0.00221389564507375 0.00689639479768444 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0333564593943756 0.0385377909624827 0.00220976513703148 0.00689367362527116 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0345233381738404 0.0393096812860807 0.00238959614449646 0.00698161303677459 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0471376749836615 0.0507776788458304 0.00417050325877969 0.00820504088076923 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0641657294858841 0.067683136065947 0.00782559354419701 0.0115013267765511 NURBSSource NURBSSource 24 245 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0578400345830993 0.0232819067581901 0.00326070477134321 0.00118003756631421 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0577505492565612 0.02319121428516 0.00325950229668279 0.00117742377929274 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0578364270655462 0.0233292785293597 0.00325892566499146 0.00118478418020399 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0575298043115908 0.0229968741620749 0.00331841960445106 0.00120500741962877 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567742235162915 0.0237615894403931 0.00361527747837933 0.00143929887985397 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0593861283992016 0.0277435696753145 0.00417433009215172 0.00188323800728666 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0580203719589718 0.0235207560340343 0.00332600781575752 0.00118825129005676 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0581601110377022 0.0234522195596974 0.0033692603391658 0.00118526479958574 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586763438693734 0.0249974907458148 0.00336752611498931 0.00133691831388 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.066855939354841 0.0392285765990811 0.00488592708548123 0.00331572852070117 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0784561521054766 0.0568986078243929 0.00817782242883127 0.00717996279488947 NURBSSource NURBSSource 24 246 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0567207301185238 0.0269603881162642 0.0010850220381482 0.000630988959603996 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0563579666802928 0.0267008886674288 0.00111264469631536 0.000618285953622698 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0564661975459068 0.0269762799860944 0.00110757265503063 0.000632996283349414 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.056055244140984 0.0267395903813098 0.00115043366169266 0.000669272749681546 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0559751925556164 0.0305881436167154 0.00149227524740512 0.00119933494405995 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0565357081551051 0.0373594083463943 0.00208669643994382 0.00229209737395692 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0560627430653083 0.0267111886811221 0.00111901431603161 0.000679642495451937 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0561855746985261 0.0278225153164235 0.00116190559216402 0.000787703630355826 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0566598847359925 0.0306074471932434 0.00155672856976637 0.00125238071480519 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0720326018395735 0.0580222466303865 0.00568913790474584 0.00677895741201125 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0975215070548675 0.0902339023614513 0.0146304335696789 0.0180489014306416 NURBSSource NURBSSource 24 247 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0477978747282673 0.128314860385446 0.00114067424591998 0.117256659547939 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0475051386367673 0.128454228652424 0.00114970507614984 0.117849667889349 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0476619008023089 0.128288205629435 0.00116553032538162 0.117851828688533 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.046891415341174 0.128106279982886 0.0011730424224804 0.118942349117842 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464354559427329 0.131525034289262 0.0013426305870004 0.124748660866659 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0474450808018546 0.134306021024048 0.00153657638233177 0.12771645638642 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0466269698548455 0.127510363985876 0.0011272465242283 0.116030518724744 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0467498914796299 0.127244111994217 0.00111954196307579 0.115239849225303 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0465084312872194 0.12699668053829 0.00122185977878592 0.11418128972378 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0541099518600259 0.135841901609943 0.00268277912018286 0.113667528123053 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.066139040822967 0.146176523849589 0.00592353924033159 0.116418567761972 NURBSSource NURBSSource 24 248 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.046973661323175 0.209685065185589 0.00396210850185139 0.303987120132402 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0470657146115589 0.209536257418337 0.00393400692815439 0.303785321205667 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.04748955861741 0.209213904197979 0.00398068628715641 0.303056624295874 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0476846734823977 0.208519955886658 0.0039712484213344 0.301559858812015 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0475333740277442 0.208722221966917 0.00414028207648272 0.302845860035501 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0489666007574455 0.208243466463408 0.0042886787864281 0.298442034346461 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0466446977322385 0.210588226973337 0.00402627858393567 0.304893346770355 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0466016025539153 0.211736983910618 0.00397481170866864 0.30597691176918 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0464617344762206 0.212709616769524 0.00409956339327179 0.306569132438453 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0576499871344447 0.219602472514558 0.0056252001747706 0.307293538656729 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0710544915268154 0.227525875597935 0.00863612814047525 0.305231758801135 NURBSSource NURBSSource 24 249 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0346225142648289 0.0532409637726804 0.000569756658415382 0.00586251119380706 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0349644286667917 0.0536610675815835 0.000563084034484323 0.00589272839956639 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0353135534214685 0.0540294918134679 0.00057673375567052 0.0059334230547339 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0353684489284816 0.0541461342240951 0.000588784172083162 0.00599453307374539 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.035800890989144 0.0543879202065385 0.000807890230004074 0.00607299660340333 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.039438754910381 0.0569039416502585 0.00129174318310198 0.00675159092076615 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0350181418835697 0.0535804854561928 0.000604265865267086 0.00593090014284112 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0350539025386188 0.0538384153265002 0.000678580832406079 0.00611470855828469 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0351780143737089 0.0536840068300711 0.000876415308671608 0.00638321805645775 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0521566958239839 0.0670358687755438 0.00383878713932042 0.0103123769434533 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0773176115818145 0.0876263921125843 0.0105239329153282 0.0173312598089091 NURBSSource NURBSSource 25 250 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147448354517086 0.0973613899459908 0.0785705912277295 0.0783960785543786 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147893448462066 0.0971282704161614 0.0787268157634197 0.0779356915885048 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.146857805420108 0.0968528513583366 0.0776812737804964 0.0777199057212145 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148394590852819 0.0964657216023583 0.0782240434058879 0.0774975204292122 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.152262377333718 0.0976754504104454 0.0791715057310723 0.0769644050216195 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154939412628351 0.101128289159619 0.0797414609974783 0.0774321722807234 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.149920166630033 0.0981935355875625 0.0829205880482108 0.0779858042569583 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.155338334773517 0.0998714866174986 0.0896087525066927 0.0781676085757642 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166114303543456 0.10217422610974 0.108911221823774 0.07779650553869 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.209214743705398 0.124746924122485 0.190467045562611 0.0882512477611874 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.229297107596272 0.149424130617771 0.216032159571315 0.105438191394103 NURBSSource NURBSSource 25 251 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120454492451975 0.159794177133164 0.0178872703441883 0.109602338017092 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121191838452486 0.159694747338619 0.0180708699790794 0.109628104679528 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121131754028229 0.158557798264464 0.0179404883157169 0.108296533375587 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120939491606369 0.156499802329407 0.0182064766025212 0.106922410252846 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121640348828983 0.150451904217496 0.0189144606315847 0.100092468278066 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120884553780354 0.145136455035867 0.018720548326214 0.0965679011181898 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122360345198598 0.160296545700609 0.0181460458392567 0.1064200069584 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122623684145309 0.163217886281472 0.0184445795777486 0.107436786733177 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.127695145549946 0.171913474528008 0.0196712053248777 0.117460484960726 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.138937644642707 0.187062460068274 0.0247535262346225 0.122593543702838 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.146855384511378 0.199570587127279 0.0322531780810881 0.133994978098673 NURBSSource NURBSSource 25 252 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103833283196685 0.204757126399607 0.0196189425038176 0.251449923688803 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10404305803849 0.204997162688884 0.0196195653838143 0.25198898295381 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103978748597337 0.205265709944395 0.0195293724959919 0.253095137497053 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10250100294037 0.206166382742535 0.0191652377336623 0.260417534514207 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102413443777336 0.205336849213338 0.0193483264552722 0.252186691452817 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101575821231273 0.204735260648299 0.0194706905022422 0.248182901030511 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102337953978751 0.207277267299499 0.0190570936695027 0.265948413076805 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102500240445278 0.210402631107522 0.0190104347003159 0.278716143083915 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103296350020442 0.215734221169615 0.0193319643278682 0.297348162764712 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.117209757862882 0.241433062379607 0.024273973783556 0.363990185311813 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129484169280902 0.256655471346571 0.0322270084177933 0.400507187033812 NURBSSource NURBSSource 25 253 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608185766054822 0.0825691121455772 0.0167450251299915 0.0398549628090496 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.060781808011547 0.0837248654929379 0.0165726923230674 0.0418410405710187 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608361209502789 0.0838992651153195 0.0165674520634067 0.0424126674956389 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0608070785644177 0.0812421190292092 0.0168491583683915 0.0387263405621639 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0597130602836186 0.0780871786400135 0.0141093323481231 0.0322457800133774 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0603605932325481 0.0805370607299154 0.0145254204414873 0.0308951536812771 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0610798927900238 0.0807244299748618 0.0173383632926362 0.0381886343871554 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0588545269816137 0.0792633123139676 0.0149957518389702 0.0369251512930302 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0565234574840987 0.0725931921551379 0.0119331381435484 0.0257724619065664 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.062764042866673 0.0847632925186179 0.0110985429603502 0.0307083639067808 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0819175606879445 0.107693864269432 0.0159996899579745 0.0448623873260941 NURBSSource NURBSSource 25 254 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0447366694670292 0.0603639332133401 0.00644595704819278 0.020551962600663 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0452303074611594 0.0606052913772589 0.00673647830405466 0.0206677054549776 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0456177302446003 0.0606103761127805 0.00701108210765079 0.0207101039737034 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0463985242614708 0.0603981351338779 0.00752246361663814 0.0205472240352017 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0514192587178873 0.0609376132765715 0.0105349900163304 0.0214351671689282 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0574998012495403 0.0641955682421759 0.0134399362911904 0.0222820480963046 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.044732871099481 0.0604937608287186 0.00646719532981967 0.0202842762752958 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0447493485310499 0.0599015345911189 0.00645526939212157 0.0195951292178133 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0423385060058329 0.0611730439586673 0.0056159613109846 0.0203169455263566 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0586554236087651 0.0791630916383658 0.010715669374814 0.0220841034607389 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0786419248379615 0.0967459734353021 0.0194917920282392 0.0253950072021546 NURBSSource NURBSSource 25 255 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.08106097237835 0.0547158774508489 0.0158865925752832 0.0179084561639764 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0795008284880545 0.0547852088696134 0.0156436265349247 0.0180697826441269 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0785455252097826 0.0547085301301247 0.0154519524716847 0.0182188861322553 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0783621546252924 0.0547685128178159 0.0153581516300438 0.0184748899162153 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0779573867860896 0.0591166443728842 0.0151483394975869 0.0220765137546462 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.078781497349062 0.0644381004034342 0.0155558494456962 0.0250263630001 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0789483003215456 0.0545803388956853 0.0152981152172313 0.0174742497430141 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0779712183844254 0.0548802267878023 0.0146446366004262 0.0175522613507635 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0761756051875594 0.0558465907798571 0.013871396231283 0.0177290548853676 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0833635485324312 0.063589592731093 0.0158035982765653 0.0179020467428901 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0966016369415008 0.082283850319506 0.0236505940382518 0.0246472455904274 NURBSSource NURBSSource 25 256 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0906720139689339 0.0610130988460897 0.0164691115153169 0.0146869593509054 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0898863968099769 0.0602699083403698 0.0163000293385793 0.0143529044867813 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0896407185629789 0.0590956354508343 0.016455132017318 0.0139109861900876 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0888076257633964 0.0568633203332962 0.0164943488105328 0.0126349630176506 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0854541805104078 0.0586813292266507 0.0157835552296353 0.0131362635173139 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0883411687277234 0.064888839883375 0.0169049396845293 0.0148687820830338 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0890700127915999 0.0601120859072748 0.0156740144066345 0.014884703119695 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0872524717587474 0.0610951569848087 0.0155328173459316 0.0162682709120855 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0857581562988196 0.0671857126819504 0.0153154691346423 0.0202363833429239 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111315438126645 0.10852213244695 0.0284343218625889 0.0487995176283076 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.138555786563647 0.1521999664368 0.0471295295925332 0.0819740335767619 NURBSSource NURBSSource 25 257 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0541028738962854 0.145756494757262 0.00409635940401271 0.0946800077924703 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0546312459376196 0.145855962505209 0.00416244853120083 0.094572730098481 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551827996598741 0.146097118910356 0.00417542147887234 0.0945518616271648 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553718083667302 0.146831954839058 0.00429481266640254 0.0950524785699276 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553181876256566 0.153041481554629 0.00479086799185491 0.102528469280188 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0594392257298412 0.16225755801434 0.00630458164427757 0.116147304401043 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0541819878897484 0.147886701736363 0.00404508561962376 0.0969464563827796 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0554000332349026 0.150940819259378 0.00396143099622206 0.100861952735583 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0569114464767718 0.15859218414393 0.00442920961144935 0.11039740367079 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0679023738338249 0.183660325036947 0.00800355865926608 0.151275272621341 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0874616707346301 0.178848546288976 0.0174374141231641 0.128640190814116 NURBSSource NURBSSource 25 258 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0839021172853461 0.257407004646301 0.0164963883714353 0.373517460676203 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0840654778232161 0.255740861602702 0.0165324164325487 0.367602896323381 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0847387361347229 0.255144018869106 0.0166320821634537 0.364456218109832 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0837249535462518 0.249971759947133 0.0166644842251366 0.352338541383377 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0807827949566281 0.237969903814765 0.0140800354754251 0.320824526883838 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0847869698168719 0.243295320973365 0.0155107435899086 0.323272236310603 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0801594444218953 0.254192825263314 0.0149013785184366 0.36972348579681 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0769646416668408 0.252770363981368 0.0138944550642274 0.368067115659374 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0763197356744932 0.258232408249782 0.013276392853923 0.38032513226482 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113953257189314 0.306352164260976 0.0434453352715294 0.508400909933582 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.141514645104034 0.331030406960147 0.0812503255756488 0.580049101923163 NURBSSource NURBSSource 25 259 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.048799546666982 0.0728125191013867 0.0039280438744825 0.0103135472984114 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0488206620104298 0.0727100589719217 0.00388380047958641 0.0100696504271717 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0489331288383109 0.0722871519383997 0.00385654572926521 0.0098918568236061 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.048907949099255 0.0715701399208657 0.00390105805950254 0.00989413172138684 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0507035476027139 0.0703213020011028 0.00374993046579151 0.00886323443670676 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0534217203403672 0.0715815738273937 0.00402785825155409 0.00906330247387607 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0501007057056133 0.0739577468621699 0.00413688023493247 0.0104563891751341 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0505349303672079 0.0742706240210651 0.00423406105268522 0.0105879385178528 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0527088280805647 0.0754819292933335 0.00461554179393298 0.0113202865368253 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0745295529332143 0.101271351402951 0.0123731406847678 0.0282554059937892 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0971969604511025 0.133431483123006 0.0192757796889396 0.0446340719685911 NURBSSource NURBSSource 26 260 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178603488807379 0.0567022119863537 0.0951928188341417 0.0171866756021828 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17840802399464 0.0570126505580885 0.094908162760067 0.0175717693157437 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178454618894285 0.0568147295446268 0.0951412458003379 0.0175218570295412 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178286692664954 0.0565520373122843 0.0951103010974778 0.0174498778195203 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178968467689713 0.05702985067413 0.0953191683240787 0.0175527561568542 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179272954999487 0.057705662509275 0.0948106402526882 0.017551462799516 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178347919464367 0.057057709066024 0.0952747749960423 0.0175172643235597 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178485307768358 0.0573160151107227 0.0952353808570383 0.0177498157481813 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179012146137726 0.0590837798075436 0.0958421357161989 0.0190165590086078 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183907056671242 0.0667422683095322 0.0996829733239536 0.0233898805889808 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.187609081326659 0.0769719707508826 0.101669076793692 0.0311438366992823 NURBSSource NURBSSource 26 261 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.118458139993536 0.114139907609342 0.0431502789605329 0.0937092159011501 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.118741833418646 0.114485208882438 0.0432575181804418 0.0941461565530761 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.118843475573725 0.114494024240406 0.0432310813378926 0.0938960390290301 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11871801125018 0.114165655046478 0.0432745242600936 0.0930475152888535 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11904498765428 0.114693756868161 0.0430486415568659 0.0938867401736647 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.118681519901271 0.115028711206595 0.0428215407742755 0.0938815862684259 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11847371640974 0.11310722974989 0.0423475855778668 0.0922275158757839 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11862602763654 0.111933807621452 0.0417995843961896 0.0909606454964561 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.117686109235554 0.111242934371038 0.0403481988972676 0.0916273504124729 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120982356609911 0.115097594727199 0.0360649650256995 0.095086144862485 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129554595778135 0.123600784592639 0.0352339698127398 0.0989466713703809 NURBSSource NURBSSource 26 262 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107714750259079 0.40345438874681 0.0244466508618006 1.19028582784565 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107791898970262 0.403305099116721 0.0245242420546054 1.18859800423756 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107978045190569 0.403303696505675 0.0246424439363115 1.18731983899453 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107890789819471 0.402677854762935 0.0244949713896437 1.18226374049408 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108451243758123 0.401161527906621 0.024834829035004 1.17019125676556 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108952800611602 0.399496797838945 0.0249629858329181 1.15443352678767 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107612801794549 0.403150307458676 0.024072042413374 1.18852434467809 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107266661962925 0.403429913800192 0.0237491707732436 1.18922525482571 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107157941422615 0.404658419621075 0.0231931365327537 1.19784296314884 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106326046211283 0.411152191550958 0.0207153720558521 1.24574388605676 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105110703154436 0.420926809925753 0.0194142937225116 1.30674981680082 NURBSSource NURBSSource 26 263 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0579542173394506 0.0437434115415523 0.0206617994556465 0.0111647867784645 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0581690265635661 0.0439268495169075 0.0208019882865263 0.0112560214167749 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0582535772653325 0.0440985352373038 0.0209470886537718 0.0113409082149146 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0585828831207795 0.0445607685622166 0.0213896355364723 0.0117368477098295 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.058982876870879 0.0456181973487636 0.0221485730601339 0.0128221948685957 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0592961909992781 0.0467340486803597 0.0231819959186159 0.013755808942165 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0579827536482346 0.0438399407683559 0.0204541852972313 0.0109245092860549 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0579971008512239 0.0437764567783966 0.0204294897924238 0.0107058676523877 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0576869134604473 0.0439313010320067 0.0204916745855744 0.0106187134589899 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0588009930479622 0.0453513234512521 0.0214469861640556 0.0101389591500344 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0612910731737284 0.0491423206267997 0.0226650461237573 0.0107070323051951 NURBSSource NURBSSource 26 264 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0681294735592743 0.111103626504224 0.0222795373375223 0.153185618390861 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0678833089677668 0.111042013619532 0.0220954266370445 0.152830229189872 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0679847635926525 0.111006583645333 0.022135219443268 0.152445016495463 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0680310961670849 0.111009922004843 0.022217881900487 0.151915587833489 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0678775208786939 0.110816856930402 0.0221341584286241 0.149023223940248 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0688960814629129 0.110575398681153 0.0227627785640385 0.146444827650588 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0681293390087057 0.110949363116666 0.0224086113273458 0.153362291488034 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0678314987793367 0.11109756266934 0.0224085033997842 0.153663557515125 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0678727008399883 0.110979701996441 0.0227444108835365 0.154950567597823 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0688867899425555 0.115062875170993 0.0224134204428682 0.164620177213037 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711028969909678 0.122019143019829 0.0214567252547633 0.178171698739151 NURBSSource NURBSSource 26 265 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0837686872158836 0.0419255474587389 0.0125955171721721 0.00828265020474218 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.083612148289201 0.042081825702264 0.0125292775548108 0.00833075816625685 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0836157763382475 0.0421693131952222 0.012513271457559 0.00835383032667267 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0833901934385368 0.0426905879837494 0.0124978071279919 0.00857214582933215 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0830903807076426 0.0430758574297059 0.0123332143339103 0.00872903197470775 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0834183016373835 0.0438542860758994 0.0124225760354643 0.00922244877598016 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0839732943768995 0.0417788559686143 0.0127342675993107 0.00821898706290497 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0841953857982741 0.0415985686692529 0.0128926278577584 0.00814364645326836 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0850603458942545 0.0421712725856359 0.0130221408188757 0.00838003883013182 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0890009892847861 0.0440480062677056 0.0141049645213331 0.00823880060764497 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0947082428683936 0.0474922034495611 0.0159089300843311 0.0083517521140498 NURBSSource NURBSSource 26 266 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0742270251615867 0.0409007868187949 0.00961794760793373 0.00991555602496455 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.07449373478713 0.0411765814417044 0.00952762535021984 0.0100159524715054 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0748030928480171 0.041176279162134 0.00966045432906453 0.0099025476589004 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0749846272763091 0.0412360164725844 0.00980196073484703 0.00995071816134964 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0763256728290574 0.0424169324256052 0.00957953568151576 0.0101933524278849 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0751336410697524 0.0438787416039708 0.00923474794258144 0.0111820895411801 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.074021382972066 0.0412008833858973 0.00958471099762989 0.00998297680721734 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0743488516571177 0.041251573775864 0.00997841478428976 0.0100117002524334 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0756420293001815 0.0421673951976419 0.010388636662958 0.0102153272590315 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0798139693284067 0.0487294491770784 0.0129896988216941 0.0119223528990923 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0865294311121584 0.0592234672374183 0.0138625887515864 0.01457473698685 NURBSSource NURBSSource 26 267 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.054957260282819 0.238626020905055 0.0036213343284189 0.345376489130622 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.054866736240847 0.238323809025152 0.00368579061067392 0.344818692799722 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0545837224698983 0.237974692129515 0.00364011320074799 0.343866918044685 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0543189548121956 0.237886286735031 0.0036121484545613 0.343751345667191 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0544688371334258 0.239309541928686 0.0035790185659273 0.34654816270778 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.054234102593812 0.240935702807248 0.00348792598795458 0.349377214722561 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.055224895240018 0.238660299797417 0.00369980136247316 0.345569936252292 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0549670101137078 0.24078977844768 0.00367507111958923 0.352177203328666 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556708407705015 0.244416320838569 0.00380790650014794 0.364801016456908 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0571448123188109 0.255622508618588 0.00458600776242032 0.401075957467137 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0600848760178506 0.270693071719317 0.0058670427327119 0.448047399974074 NURBSSource NURBSSource 26 268 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0766765211362719 0.368335777564983 0.0118469675810457 0.924388562008375 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0768526631926789 0.368907251813083 0.0118585042098073 0.92609328010887 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.077164684470146 0.369093983336555 0.0118960069388628 0.926989955709041 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0775186807558292 0.369395520564297 0.0119227101002384 0.927850715042164 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0780127776229258 0.372122626606122 0.0120487832346592 0.934361722695477 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0782614575802765 0.374176033150782 0.0123185292559918 0.94325970323273 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0764714319391911 0.36749630949207 0.0117347746001041 0.919871458092261 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0768358886201093 0.366604544329464 0.0117063391211645 0.91556526196277 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0763979798903543 0.363291471222489 0.0115089851582509 0.901647192301852 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0779465142528188 0.351566322830072 0.0119129790493919 0.85400490196627 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0800124184381423 0.344787967359456 0.0122781896368717 0.808921881820264 NURBSSource NURBSSource 26 269 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0405066452811821 0.0921757526496325 0.00315628859698865 0.0480806438425167 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0407335552826097 0.0923071246397302 0.00314313188541511 0.0480817698410737 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.04071057494234 0.0922971656568696 0.00311313164342895 0.0479433886748991 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0408116010806527 0.0924701224698637 0.00309462679846485 0.0479226735265033 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0410054160735091 0.0920609020676731 0.00298924976706802 0.0469408434098779 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0413735822239937 0.0921204738160136 0.00304340368214558 0.0464714090457896 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0402884107950314 0.0914916260706708 0.00311789984772471 0.0474244914237527 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0403304982723038 0.0912772286000001 0.00310571227195886 0.0468569068501485 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0403066666285661 0.0908153032103023 0.00321941389321293 0.0465128586260755 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0428705327066538 0.09033750110692 0.00376133126791177 0.0433173842589205 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0507945373703787 0.0933289436836092 0.0049585452136697 0.0405285865981578 NURBSSource NURBSSource 27 270 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.169242276937102 0.0538958537667211 0.0816649150440371 0.0147348153959897 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.169201609061842 0.0539955254993303 0.0817143648159355 0.0147104275470084 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.169042409455988 0.0538792781200097 0.0814943076159585 0.0145792664690239 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.169389181424823 0.0540941646651115 0.0818072501090882 0.0148598502905582 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.168164599657535 0.0535631245921433 0.0806549600273028 0.0141016329676187 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166600518737552 0.0532228816782629 0.0806099751021071 0.0139533661496432 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.169045338897819 0.0536519377481605 0.0813863053145165 0.0143396928085009 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.168911377740754 0.0536883149453596 0.0811777226182908 0.0144355487372029 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.170405171699534 0.0546400581801461 0.0832437497388476 0.0154613650717159 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.172581541175202 0.0591322536079293 0.0858376383959049 0.0172380344423488 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179731291577594 0.0701272737651725 0.0904017495963328 0.0220164547710457 NURBSSource NURBSSource 27 271 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110038321967749 0.0812133662763461 0.038784651338125 0.0416415352569832 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110003371549386 0.0812076804430672 0.0385873523861411 0.041520536424862 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109638682092944 0.0810907850421074 0.0381342128384232 0.0416246424451652 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110073164806873 0.0814985669568509 0.0381641365755504 0.0424151433376145 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110143015810859 0.0828704088587763 0.0362765770418335 0.0435255916402381 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111754656208515 0.0851949831224334 0.0350414187826385 0.0463300416621587 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110854379523827 0.0814788345026124 0.0386101749754621 0.040993403761784 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111231055953094 0.0816327428281475 0.0378763507151715 0.0406928118032625 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11233633911127 0.0820044763486306 0.0372895175033692 0.039725147199389 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.120291453752912 0.0870611647546886 0.0371176273342516 0.0391500634865398 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130238522228441 0.0945840513171037 0.0405858509339183 0.0412206632710079 NURBSSource NURBSSource 27 272 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105203906476301 0.425550699437091 0.0221140875421869 1.26930392845653 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105307674037316 0.425397522953777 0.0220956275886334 1.26824647258749 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10520673735398 0.425234502856194 0.0220572317623767 1.26737121859425 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104948828005722 0.425500988636568 0.0217825599950842 1.2709164932733 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105111302540949 0.424557139834198 0.0216929260796117 1.26436734075635 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10564438420117 0.425706628661608 0.0214611990184267 1.27130020756687 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106224466349823 0.426041508802615 0.0229769244612293 1.27160027338648 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106337872696068 0.42711011526241 0.0233488798631418 1.27998614449349 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107548753878338 0.42803570928843 0.0244899727444587 1.29037420730466 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108931920880227 0.43121444405532 0.0272381342007557 1.31606878819252 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114485018458047 0.446941824136506 0.0322379664005375 1.42005120908436 NURBSSource NURBSSource 27 273 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0535163448885655 0.0387805534821246 0.010591965000393 0.00756405508249694 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0536811415804987 0.0386772471715703 0.0105481705481934 0.00755825890329571 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0538845209397638 0.0385981177062655 0.0106261311397248 0.00760142129928958 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0535530602515068 0.0386205669562095 0.0103681618618958 0.00777431873512646 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0534052516010495 0.0385418262936661 0.00993026402899968 0.00801584481150046 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0536088071530713 0.0395190563048119 0.00966012689598344 0.00855217427837788 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0537746755857375 0.0381736271384875 0.0109901180910533 0.00725808944510467 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0541042176622613 0.0377250355278451 0.0113312446228325 0.0070782670665896 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553064078511194 0.0370971224367274 0.0122425472592135 0.00669584633399828 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.063677265963457 0.0381488532324664 0.0171751845025967 0.00586863172117122 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0725255125541673 0.0426616225307188 0.0239157117543771 0.00637831445596057 NURBSSource NURBSSource 27 274 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0657552826360926 0.0934120137614881 0.0193183657286401 0.100058579323214 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0658098063583269 0.0933225429891588 0.0193154601801398 0.100368608747319 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0659515461210096 0.0932474343036532 0.0194629689454452 0.100262335911369 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0661412287437902 0.0932099377141015 0.0196910254789637 0.100470218892221 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0662430083303402 0.0940772191418857 0.0199491050153108 0.101176923080868 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0669997035794634 0.095127468679214 0.020413741662687 0.10244682465593 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0661093790640768 0.093205740424058 0.0194750648359164 0.0995772998201883 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0660852511846182 0.0930840334459723 0.0193455511745612 0.099145776447653 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.065721122855324 0.091922106967085 0.0188962857299705 0.0957123607444851 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.070460562237025 0.0951372464466086 0.0216602105953582 0.095450755767211 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.074573006130119 0.0973706826351004 0.0234815791695084 0.0939990506667034 NURBSSource NURBSSource 27 275 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0764803426023181 0.038604183943704 0.0112589979480676 0.00678767771186262 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0767864213564506 0.038647540611555 0.0113429351964482 0.00678518303329044 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0769320467150192 0.0384344501866695 0.0114057020527338 0.00680487337605178 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0771813665865823 0.0387121820084328 0.0114069987373491 0.00693543315259658 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0780883902798984 0.0385353912448951 0.0116949929305134 0.006692665962751 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0792870916884268 0.0387799002201011 0.0122316725411867 0.00658647423387434 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.076471108514284 0.0387426391041542 0.0111481813243315 0.00687582827732304 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0773459559889383 0.0388748551432709 0.0111139196728166 0.00676307622578113 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0778528101088371 0.0390545141866106 0.0111963161124442 0.00673122825818801 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0800027030818001 0.0412666945442183 0.0108433065314048 0.006579500269396 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.084533184067538 0.0475051168637376 0.011875233583076 0.00786682637709585 NURBSSource NURBSSource 27 276 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0667226052002166 0.0410939786963992 0.0057388631318419 0.00770033923970707 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0668556981583721 0.0410025078912922 0.00579349637771914 0.00776673018920409 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0672475031052385 0.0412012484208121 0.00580541560421953 0.00782493948132825 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0679062405975938 0.041137618692103 0.00594833335634055 0.00797994310026711 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0680407934010592 0.0420184277125492 0.00606518408003885 0.00860245131971387 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0687824085040459 0.0442653771888816 0.00595078852237226 0.00958526808643548 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0669405218440525 0.0410925209898737 0.00577830100188009 0.00773134733952127 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0658644263261517 0.040721774171318 0.00562077068051528 0.00776969082786883 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0656753559719056 0.0407720534880087 0.00569201302158514 0.00785755529618291 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0677190419687938 0.0474827562710921 0.00647607198620739 0.0105248167845989 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0783510781006435 0.0580800251533562 0.00963875483379758 0.0143964112103864 NURBSSource NURBSSource 27 277 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551277495909532 0.234000345098839 0.00379317869801161 0.363044903695597 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0552909730445143 0.23413115966213 0.00383308682917089 0.363248813593425 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551329940420127 0.235031595049985 0.00383016982249635 0.366386843928422 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0549913486630668 0.235255261992178 0.00377844281330968 0.367337830866425 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0546197001705925 0.234885217724522 0.00354364008242969 0.36455453525703 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0532699635498453 0.236322155213469 0.0034002010490437 0.367577810775733 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0549596586374632 0.234395990012955 0.00381283346019006 0.364432692722286 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0545980288478365 0.234177943893869 0.00374520154049573 0.363527028224574 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0540096494528811 0.234522699883352 0.00363457390692197 0.366068664347317 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553514971100428 0.24634512994021 0.0040651140411988 0.398772962614002 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0585315214568043 0.25283920737262 0.00569946462650471 0.409862201491549 NURBSSource NURBSSource 27 278 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0603095997104363 0.320905861902017 0.00673773035924977 0.699690371672318 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0605954857846755 0.321320043446047 0.00677013792947607 0.701186602453205 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0606653559711368 0.321893962009543 0.00680545700948878 0.702582814986492 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0610585465782881 0.322558494961933 0.00683705164772334 0.704656749182776 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0626522850782514 0.324781093421615 0.00701132402438585 0.71067583446022 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633422739917076 0.32775536264549 0.00724205958929476 0.718685471100829 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0604716407551156 0.32073863955526 0.00667517718233833 0.696905312779048 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.060247273126597 0.321025217765457 0.00658527580844564 0.695360568440385 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0598624804281739 0.320338398623539 0.00654929052720577 0.68845569456185 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0640277436968634 0.318247866080345 0.00781569534865788 0.660599539601368 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0749234658392848 0.319947286617382 0.0121321257831587 0.649927841837838 NURBSSource NURBSSource 27 279 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043783357813998 0.0813391144231272 0.00409174800137218 0.0296288453694806 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0437955555442228 0.0817100599227936 0.00406962991226615 0.0297160882184005 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0438249668686608 0.0818387402672942 0.00404761963508423 0.0297138240276781 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0436532499102168 0.0817995352165353 0.00407241001793912 0.0298857324101823 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.043875810236258 0.0821361244304407 0.00418582197618182 0.030205121588678 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0438548718519211 0.0818030448110223 0.00423071545971762 0.0299990291011673 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0440815860656784 0.0815100467858618 0.00417161637702371 0.0297084936533869 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.044104931006679 0.0814472380823189 0.00416906264916337 0.0296300486643681 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0438621274711233 0.0810959931426568 0.00430697352805615 0.0295406332370508 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0467542757981505 0.0809053376403319 0.00520260297430822 0.0286620772782267 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0527171557276242 0.0828102746177304 0.00702085732661718 0.0291204203760481 NURBSSource NURBSSource 28 280 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166092775377082 0.0512657098958656 0.078300635387605 0.0132351007920709 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165953991202367 0.0511776542536993 0.0781839682730391 0.0130647562416202 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166053400433258 0.0512492488093019 0.0782581574215677 0.0130998974887462 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.16544145429143 0.0506750298643007 0.0774377005985981 0.0129368279232858 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.162251917478126 0.0495854882021043 0.0752344046155656 0.0123331544999307 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.16187304272514 0.0496067404164259 0.0749775155020366 0.0124145080597625 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165672652721533 0.0508663371867184 0.078081251926753 0.0128707821993067 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.165201604462394 0.0501181561220173 0.0778042077046608 0.0121772967202448 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.164754255082547 0.0500532731558562 0.0775804859838576 0.011919925476291 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.167981050957793 0.055181487137687 0.0802052286060074 0.0124589039881764 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.177192548152968 0.0644669869479238 0.0882644358764462 0.0153025635300668 NURBSSource NURBSSource 28 281 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107776264687271 0.079940476458939 0.0357158773670166 0.039869036459141 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107912282221715 0.0797356093478999 0.0359583157382511 0.0397592976279714 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10804565112688 0.0795685825613197 0.0362338391239379 0.0396568960922176 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108503329128425 0.0789985736584223 0.0366985709720784 0.0391672528425678 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111535850046181 0.0798993638093155 0.0386760460455189 0.0396901328535609 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114111723045394 0.0805618884451554 0.039747769400913 0.0392909345766743 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107797852331319 0.0802729165500854 0.0360214409879187 0.0404852579119337 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10899302777223 0.0816177215142498 0.0361258196569108 0.0413112127138453 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.1096107822707 0.0821661145258728 0.0364558627755081 0.0417075429234013 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112116831157197 0.0891697634522937 0.0344765199078435 0.0457500787134537 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115626545563966 0.101373066600054 0.0336766661585814 0.0560120374321444 NURBSSource NURBSSource 28 282 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106194894858084 0.420133367609095 0.0220340817217655 1.2428663680857 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106181894073224 0.420577144480444 0.0220193294616347 1.24470878525634 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106038233928265 0.422040977934611 0.0218086918894371 1.25241350794609 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.105529533799587 0.42313591445197 0.0215503252735827 1.25780526036598 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104428721405717 0.423683298331163 0.0204338210743331 1.2648997089609 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104449550927437 0.425505866172263 0.0202321312608925 1.27775645707788 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106236630727912 0.419502721699482 0.022457370534958 1.23951147848909 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106840584399313 0.41999453753478 0.0225192660291809 1.24236374349927 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.106593520510881 0.420348590478232 0.0228497772697014 1.24508987584628 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110727926672369 0.415272215451414 0.0263468782689039 1.21466331711696 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115402044038032 0.413080921116658 0.0301964808173095 1.19305658467563 NURBSSource NURBSSource 28 283 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0525184085810231 0.0368982136813711 0.0102643841930296 0.00710552449105607 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0523683567877157 0.036710090414361 0.0102336751020331 0.00705659823869246 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0521800564388857 0.0364866888746806 0.0101290283561558 0.00702099957838146 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0521944422353762 0.0365248867968661 0.0101889445867801 0.0070509627652059 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0516929466425692 0.0364873690729317 0.0101173954176938 0.00706926382361515 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0510090191884293 0.036801575623971 0.0100750110954726 0.00730227425795357 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0524413920695263 0.0368064627470092 0.0102150015950929 0.00708788023781667 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0521464295642705 0.0373075487892236 0.0101917698235921 0.00730825454189743 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0517480452109708 0.0384268992889742 0.0101277175937916 0.00777165181829912 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0512982842753437 0.0438736669105186 0.00944757017478573 0.00962902184108994 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0544305171934275 0.0522813677746842 0.00978194282885943 0.0122549001669037 NURBSSource NURBSSource 28 284 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.063506354604016 0.0894718767836362 0.0180839411394846 0.0928108317240913 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633351485180664 0.0894397819018345 0.0179943588139741 0.0928992576020174 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633838273535911 0.0895547026368574 0.0179086057391739 0.0930535337532888 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0635925526398874 0.0899500664243407 0.0179627174581427 0.0937407838176242 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0645421797527337 0.0900280393002101 0.0182363832492311 0.0932848497118462 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0655749561853463 0.0902697179587687 0.0182525848976572 0.0916383564710735 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0635409045555763 0.0894104806958372 0.0181030261206217 0.0928914334373079 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0639270304989798 0.0897872982906416 0.0180727702894051 0.0927427740848325 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0637253524088263 0.0899447984946185 0.0176848195641746 0.0917005051308426 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0667069120092053 0.0933848791286549 0.0182200496474724 0.0899469796635023 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0712519433874814 0.0994691518101787 0.0194218432700348 0.0888367755395657 NURBSSource NURBSSource 28 285 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0752461177403171 0.037839590883535 0.0104588593677138 0.00668260973290013 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0751100928281322 0.0378537499923848 0.0103801064106293 0.006682786025135 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.075151894816824 0.0378884005597721 0.0103136358132236 0.00668814317178291 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0752364827668181 0.0381336079967505 0.0101655482239229 0.00666492553135624 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0742705605103221 0.0390766302268813 0.00963940341879976 0.00696274027106956 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0739779417240632 0.0403509584704257 0.00916867002671812 0.00722530476343146 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0757773338855235 0.0382400825174903 0.010710578014323 0.00680790360121769 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0760568037835236 0.0388364308122622 0.0108325815073106 0.00697897600107432 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0772406464899352 0.0396785265479179 0.01123512826466 0.00723364815882284 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0823763010662295 0.0448612255709358 0.0139803739604585 0.00849699129096853 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0900128835657242 0.0558276116144026 0.0179648871223432 0.0114060136663951 NURBSSource NURBSSource 28 286 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0656222814794722 0.0409902006183546 0.00548029724943918 0.00716428072814706 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653877564097324 0.0408858493274003 0.00540097582721334 0.00718717121927505 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0654483888338371 0.0410150536052961 0.00533818130675697 0.00720870913976505 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653375248089195 0.0410681477040908 0.00533686372651861 0.00725553559792419 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653066672391246 0.042683785083929 0.00553639662407508 0.00771395203645899 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653593546781113 0.0436178951574194 0.00612147326509012 0.00824751119163496 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653459253330048 0.0409414343544662 0.00545782809246018 0.00703470887290417 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653056994114599 0.0413541120415236 0.005330122246103 0.00704534810817386 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0667606462741182 0.0418491801653827 0.00575705113163556 0.00693764288393517 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0697462241605541 0.0500187485485859 0.00811482260943181 0.00825182564299237 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0823766209447689 0.0643072603139685 0.0145678869942599 0.0120029225197168 NURBSSource NURBSSource 28 287 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553690536088012 0.230011460220383 0.00364301663920809 0.3537120726503 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551656083194219 0.229718964207782 0.00361384822119295 0.353605530706886 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0551573851891876 0.229609577266453 0.00363900184553129 0.353235119795521 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556679930686835 0.230750923971163 0.00367577912448958 0.355404856860009 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553913343615709 0.233610813876844 0.00380844192286689 0.362247961187478 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0557075087617661 0.235306125035574 0.00379522891225864 0.365368409074276 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0556513261519566 0.229584494325048 0.00366634939562177 0.352905146538524 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0554599046961247 0.229602383741935 0.00351740550079569 0.353072843457051 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0553168974055865 0.229099567273969 0.00361417275032341 0.350200727254062 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.05825878281533 0.231252983488618 0.00513879838288304 0.355400617774326 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0653939571885009 0.237416827162891 0.00822654657890637 0.36569019292437 NURBSSource NURBSSource 28 288 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0605727862133804 0.318922873825318 0.00671898780287351 0.693192395395605 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0603892671370261 0.319386810373146 0.0066718899692849 0.694611731785319 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0603114691525081 0.319889908146262 0.00670151938723918 0.696758386232877 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0606928244467689 0.321114943129665 0.00673160894655672 0.701533836152608 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0613500930215826 0.325568525964764 0.00701456974131669 0.718470451583016 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0624646558623053 0.330276882200268 0.00738129448616739 0.738992053443972 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0607515741132921 0.320459538167679 0.00670284011241048 0.698100995020775 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0607496713717903 0.321680379194523 0.00677323853472477 0.701023193223517 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.061443989899738 0.320319953377341 0.00690012689159201 0.693589101504083 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0658137691701037 0.326707453177837 0.00831535594491102 0.703850057461748 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0719177660775634 0.328455670320792 0.0114239742773811 0.701092064018022 NURBSSource NURBSSource 28 289 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0419656281516893 0.0787526182477726 0.00378992816238688 0.0283479499291379 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0418491406649334 0.0786104506831426 0.0037700872546387 0.0282205676134105 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0416947026520079 0.0784293300273769 0.00370897168681406 0.0280148389821579 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0416629884667635 0.0787044478654898 0.00366638216757065 0.0280126777314246 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0428134702424622 0.0783256463153611 0.00343341592971256 0.0266489876109553 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0433531010157219 0.0781396933240316 0.00347770869555474 0.0261704575480217 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0418784292430303 0.0784357619745524 0.00373091962455018 0.0279979963355801 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0419902376224901 0.0786719709311274 0.00374612079651182 0.0279013529757673 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.042005979025981 0.0785522584259968 0.00380571246586236 0.0277547662544141 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0452300293496717 0.0792150723240111 0.00497698469913548 0.0278468250427504 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0537666954808998 0.0830518631771616 0.00833706545466653 0.0299792034834146 NURBSSource NURBSSource 29 290 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.155365091615067 0.142132482458221 0.0803254785024921 0.173399307599309 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.155678573701492 0.141838839204893 0.0809150153102675 0.172741180492447 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.155556750140906 0.141207824052211 0.0808731590508407 0.17046684139604 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154445825136996 0.135818945938113 0.0792670014226143 0.153852726196473 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.153864008604397 0.135380209232566 0.0786013891478019 0.148137302830327 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.15809495120978 0.131852744884571 0.0797384604074728 0.133792968497845 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.157139535693259 0.13845594027114 0.0823251687200626 0.162615727933713 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.158473222036225 0.132718070798178 0.08448870451757 0.147901786515203 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.15778689717466 0.130845309259578 0.0851904126327513 0.14366411448647 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.16205564721533 0.13373317119679 0.093033943253829 0.139675510900415 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.166586848334006 0.124659831380145 0.0898569983459358 0.112224834348073 NURBSSource NURBSSource 29 291 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176356863995569 0.206917568205417 0.0768921401113734 0.210124818190796 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.175806465700731 0.210035132474841 0.0778437194445582 0.221872542239963 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176166463900589 0.210565124660655 0.078543799961145 0.223017868881111 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176840679942931 0.211124777067403 0.0794448616742255 0.221577920885538 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183191817061693 0.211680261382849 0.0869975552696805 0.221413079893935 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.19297473050654 0.217222551374069 0.100491760444456 0.235149063439285 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.171709792953138 0.202445798463753 0.0733527575532171 0.202793628277805 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.173192928485402 0.203970146566847 0.0723876867496305 0.20923758700962 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.169360669490467 0.208813476209762 0.0720804562957705 0.236714252803911 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.16611540457484 0.206914790614808 0.0743950198593521 0.242913892016629 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.221078861810739 0.204519307492769 0.176262220759491 0.23083879579031 NURBSSource NURBSSource 29 292 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.133236379849324 0.390515808140687 0.0278857006599809 0.952241795009031 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132844238177594 0.389751380307687 0.0274123403788251 0.950905740282489 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132461663113799 0.388888683666022 0.0270422041956754 0.949822822604113 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131621434453497 0.387864000380059 0.0266126223112377 0.951841180166478 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129224577824513 0.380703781678519 0.0252260594126508 0.944356352190468 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131517854481383 0.379444938950279 0.0257431438924184 0.953067111848364 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132899868823199 0.386864295470346 0.0274507751580208 0.931063306923267 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132123520838216 0.382660430723076 0.0272392991935477 0.910754720313923 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131571285619204 0.363235665868581 0.0275943138172287 0.831474726360585 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132538065284782 0.353204508240457 0.0303199253610702 0.775313663577152 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.137803776883582 0.366313221053459 0.0335633102267457 0.836483016605642 NURBSSource NURBSSource 29 293 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0945602244200219 0.0909524752426215 0.0427210088039763 0.0352525394857534 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0946551924031223 0.0917772953451704 0.0428846533132071 0.0360539151784769 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0949693057553586 0.0926523396127911 0.0431183603028695 0.0367615077646809 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.095471080663756 0.0948107153693635 0.0431227877084661 0.0385519881110981 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0966534786351307 0.101131000947022 0.0430172638826774 0.0444737748030443 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0988173986351245 0.104669919206121 0.0433795330419259 0.0476167332090526 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0940021228058702 0.0896695127523383 0.042530471081403 0.0341316667480973 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0921258397322445 0.0876083066880329 0.0413911189228742 0.0325820589267814 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0889705408490234 0.0845032504248722 0.0390490646292935 0.0306008061893909 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0873066176179845 0.0799571531246777 0.0351652920315488 0.0270273272006441 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0885607374077377 0.0745778476139357 0.0359331204008955 0.0224829461260313 NURBSSource NURBSSource 29 294 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0805197888935082 0.131046058245383 0.0248911722035235 0.130655411186578 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0807210333213365 0.130650615535236 0.0247638605808225 0.129089985636534 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0813610226230567 0.131958427282689 0.0251486107987057 0.134741011960205 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0820739287994275 0.131029092238597 0.0256702904629817 0.133322104377011 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.079981986383572 0.128977335652009 0.0248220241438882 0.13662577616398 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0832615554344588 0.128733292441287 0.0269768172716422 0.133269615428396 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0766166151758968 0.128373040344557 0.0205787472065651 0.128536295638371 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.075789007064558 0.130771139536731 0.0201927708271174 0.143689204594806 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.072862687621751 0.129128455610236 0.0182464714075303 0.140131443010733 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0765369388467824 0.135627059929617 0.0191679096608569 0.148639347944414 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0848492037027861 0.145567991234229 0.0248550078521228 0.174384589316038 NURBSSource NURBSSource 29 295 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11306213976089 0.101113524283954 0.0410974052963012 0.0514540637598281 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112950727066797 0.100141694923663 0.0404267259685294 0.0508926036815899 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112884922311698 0.0992336634884285 0.0407001246654776 0.0505743402716808 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115482810439011 0.0986192945483572 0.0458699814237988 0.0501900578655191 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11494963507442 0.0974557252459884 0.0434036932718473 0.0509990922435166 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115928870636265 0.0999438869524544 0.040767683627888 0.0515180902466141 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.114131832507927 0.100458181264866 0.0435750552486858 0.0500998550572033 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112532201763525 0.100834445015911 0.0405222842021378 0.0496856446769625 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109785423270114 0.102335743603109 0.0362825971870095 0.0509661133370155 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0992213890621906 0.113972162092548 0.0287755120247544 0.0567524005109121 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.104846571826667 0.126606020134193 0.0334955342221993 0.0696921901913482 NURBSSource NURBSSource 29 296 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128531309058267 0.10669284250111 0.0467145540038865 0.0471561129912899 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130344435727453 0.106880697969127 0.0476736338979027 0.0470292404682968 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131774594914481 0.106910256424411 0.0485061748961538 0.046458718641291 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13383882575101 0.107491676900125 0.0489377034960769 0.0462296594451994 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147699455202061 0.104317115339658 0.0616201262894308 0.0449227637924656 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.153957488436512 0.103780220347814 0.0658620863975325 0.044569958957585 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131327121114909 0.111827869441738 0.0499470727441974 0.0528130887666717 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.136866245685756 0.118043045153364 0.0579973882359617 0.0570706146301789 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.138098775207599 0.124044141790893 0.0585689275259539 0.0625635550175274 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142056816589975 0.159398128070257 0.0656423902477154 0.112761405638218 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.164106756360998 0.201189921791946 0.0879537464356782 0.18822915954893 NURBSSource NURBSSource 29 297 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0711175680030599 0.160643699567423 0.00726654185199956 0.0992940549593377 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0715252244603288 0.161692849468394 0.00731274369005017 0.099415485615186 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0716945667216071 0.16262623589722 0.00747498848722522 0.0998821698792659 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0714267477280985 0.164076173008695 0.00727864904577756 0.101242218687167 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0740929106581025 0.169218884733886 0.00830050482381267 0.113022484396254 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0775729998848081 0.179210977751964 0.0103195469527035 0.133717881368641 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.071426449576694 0.158951994857653 0.00734356184652814 0.097314717922205 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0722404064740818 0.158801576235519 0.00762290447616372 0.0952642287895837 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0734813048713291 0.162541230976978 0.00804575110881422 0.0979993368065181 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0819960922290057 0.19482060699084 0.0131419011646354 0.156928725733488 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0932025421795776 0.239057016189759 0.0180296968625679 0.257952392149526 NURBSSource NURBSSource 29 298 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130113678007789 0.352894865225406 0.0377278274596441 0.670788476621127 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129776732016047 0.350451548663926 0.0383801180122606 0.665741966444232 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129269569971418 0.346746559934723 0.0391473513375274 0.65848447170414 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129342730077243 0.341719981238472 0.0403280294636843 0.646215907818567 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.124709831811663 0.329117217401233 0.043586441573212 0.624417447236163 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.123698450854991 0.316642895460231 0.0461975230471152 0.596829312206727 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.128122572942501 0.352265062807146 0.0366868556853021 0.675531583022482 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.127035606324407 0.353061674961629 0.0367463127063982 0.683940130281457 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.123839550820731 0.350408258245743 0.0383313472094365 0.695630562023326 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122363441407964 0.366975861732491 0.0446281098101699 0.781860005677963 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13021312994533 0.389310481298716 0.0500039800018426 0.871979155647366 NURBSSource NURBSSource 29 299 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0664154963746562 0.0956528492532849 0.01004613424736 0.0256830374732832 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0661753353228901 0.0963814915294336 0.00968778795717299 0.0262377843700067 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0659093418749177 0.0971355639677678 0.00955823935988478 0.027149908164121 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0662991301673708 0.0977233030699956 0.00973689718883484 0.0277925563235307 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0714897500297601 0.103520122278801 0.0114147172370182 0.0294308678719133 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0738992595479699 0.105128834187729 0.0124557168224236 0.0290032107890696 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0657246795810703 0.0958924007546761 0.00950122230433505 0.0276016285833446 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0638018776410152 0.0945766160418802 0.0080262953904029 0.0273902831635079 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0649787030033008 0.0934558108436031 0.00831981769165085 0.0275448637252439 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0749735542586531 0.103356009529834 0.0140127351553795 0.0336747930447702 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0899743480717076 0.120341474385277 0.0280829620662502 0.0438100218425177 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.583021099390647 0.750309494530726 0.391114444538532 2.17952154716441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.583096523228165 0.750378713218248 0.391150788381837 2.17977515014842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.58335837240909 0.750426250408047 0.391264119877519 2.17987386562761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.583793340292308 0.750534522018396 0.391450766087656 2.1800327528396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.584856296817111 0.751322006627233 0.391990161472153 2.1831062466451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.585886892364004 0.752496562788886 0.392923632839125 2.18750657727329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.58327377279656 0.750707536805781 0.391291455828175 2.18069340676456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.583815961716098 0.751658946754908 0.391668478809193 2.1845669992397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.58509807688828 0.752904173556656 0.392411328098108 2.18914419080158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.588885510491464 0.756552485916245 0.395905304155243 2.20260011936738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.592023021590746 0.760243229351608 0.400011551296126 2.21776817309465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32292996731328 1.30701909319772 2.24533587516403 8.42633625214341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32283388863456 1.30712527557925 2.24534783985337 8.4274140322379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32273281303217 1.30736148932286 2.24562886984479 8.42989483820579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32300474420934 1.30737275553643 2.24590760827549 8.43010340707028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32376526210719 1.30814281104714 2.24758424307792 8.43929707695843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32416669863536 1.30904584469054 2.25041720906211 8.45025443406232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32307761538909 1.3072600201247 2.24579869798241 8.42918890828274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32336497806891 1.30760117326767 2.24632770943566 8.43316557923682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32355444613892 1.30861225380219 2.24752344693584 8.444951541346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32558393302246 1.31182101046618 2.25329835042006 8.48296490284779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.32881902586373 1.31372697305516 2.26090515213083 8.50551644086647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361287969414664 0.36057841905649 0.437827486942786 0.711574627622242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361275003344193 0.360592148044566 0.437763797266519 0.711679412608297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361336450569748 0.360616375504041 0.437827935752842 0.711694028315603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361349696744143 0.360634442343322 0.437895805425389 0.711839041271021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361731623208428 0.360481954152441 0.440047942516449 0.711442753817177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361842909381442 0.360551510739025 0.44030507694448 0.712319390236276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361326247913085 0.360711702194243 0.437802432136706 0.712207619136947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361218635992812 0.360862222337925 0.437969798621693 0.714374975980714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361534806752692 0.360539525450108 0.438832201119804 0.713890986519766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.362322422092067 0.360660212007959 0.439494721059895 0.715553687448463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.363093238816445 0.361407425781758 0.440193261071843 0.718684221405894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.508871669538545 0.399614534407181 0.725026637385886 0.93740890873792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.508879126156442 0.399586524607288 0.725028107065092 0.937362590194765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.508896380417037 0.399645405925383 0.725023921824285 0.937555616238127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.508978199070698 0.399874642394335 0.725106725752501 0.938324135001502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.509182792577311 0.400186227346243 0.724932553025044 0.939167312689964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.509353772691036 0.400023179027375 0.724660686438495 0.939191755309344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.508908294689778 0.399781859193836 0.725181130271441 0.938036614365808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.509016406602827 0.399928918764739 0.725239798597902 0.93868363654768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.509890803344094 0.400253680617541 0.725810616512436 0.93966482962673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.511370503331425 0.401703792950127 0.727409437941279 0.946463297522121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.514491128695574 0.402816248564716 0.728147091301853 0.949737578081101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.692985473748007 0.682940829794437 0.473093134701702 2.07714103796696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.693030924095188 0.683045981995561 0.473140546274816 2.0777255554031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.693156877252908 0.683060058024819 0.47322836604562 2.07784812696676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.693607393214725 0.683267133047064 0.473867677915076 2.07914187036188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.69380055212517 0.683741824602129 0.474825421606118 2.08190040953921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.69448580718987 0.684355728502729 0.475873942625298 2.08536943714765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.693249306716789 0.683140377169404 0.473362249630708 2.07824290327049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.693420701485438 0.683100993315942 0.473346348821005 2.07790801568806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.693927947406955 0.683438209848493 0.473916364694739 2.07975391344443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.695602411880775 0.685787429124409 0.477110208513193 2.09317712324122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.698439122800671 0.68810590313897 0.480221849154657 2.1067246378057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.521000161071616 0.514825337526604 0.888172967146265 1.82171711477904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.520905759947814 0.514843175969825 0.888210211450171 1.82188234824661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.520854520888047 0.514796106989719 0.888220170611546 1.82177767755075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.521320121491562 0.514713934919722 0.88907373077834 1.82178007938649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.520991848507273 0.51441861991076 0.88844784569091 1.82017089836653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.521712084083926 0.514613435459383 0.889492886445757 1.82147203262228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.521366106693901 0.514952729242211 0.888405460258735 1.82197674121228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.521437430809731 0.515056957288662 0.888490146325097 1.82300633323121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.521967744426807 0.514770788593516 0.888929402605366 1.82168060267935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.523553519304366 0.516220593564404 0.892791419615097 1.83153011177118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.525329579615535 0.517875715433733 0.896195191478404 1.84372086214993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.654653370403281 0.649051193594276 0.510323654095967 1.98552135025321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.654727515148763 0.649073932091704 0.510379603612403 1.98564335145228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.654822469613117 0.649090793925401 0.510377340295115 1.9857203556974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.654861393814967 0.649017384283508 0.510409161226401 1.9853786528606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.655382201867075 0.64936711198678 0.511186299747 1.98704753407874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.655289769894818 0.649518937516495 0.511238896448839 1.98735648514018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.654762759413331 0.649324543057962 0.510509968545833 1.98697603642042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.654761131756936 0.649528442953307 0.510771544245405 1.98797827377635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.655164699252779 0.649715475497088 0.511417409524371 1.988715870415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.656642959785487 0.650527016307219 0.514202698191788 1.99196392874702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.657846590074776 0.651524070601397 0.51678482983959 1.99665687559851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974530823601261 0.611100267291838 2.42540276148084 2.66872331814538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974554118969614 0.611136730856061 2.42540081981452 2.66909844281811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974577479345035 0.611277927279275 2.42525825709319 2.67010466763168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974591733634593 0.611455489006096 2.42521087067336 2.67164030444694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974414132891672 0.611927020040407 2.42181524965714 2.67626898402254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.975809406904782 0.612879203293227 2.42294121526991 2.68571714361136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974697110576313 0.611410132027463 2.42511769044474 2.67101987366528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974032324984377 0.611082814166618 2.41643053180709 2.66668273028923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.974629498641158 0.611640102078154 2.41624094562793 2.67067012691509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.976209281269496 0.614212205706123 2.41033122959196 2.69228108143625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.978320322047081 0.615718281462994 2.40767237293362 2.70007260011756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.571724642897181 0.578782971049748 0.486108082006839 1.76967956617855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.571718764653118 0.578835180025751 0.486114188510565 1.77002413599241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.57175757776959 0.578836079774427 0.486102849077363 1.77002264460029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.571811268448411 0.578961258377249 0.486158741063027 1.7706891502503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.571951671773365 0.579322722322774 0.48676676640153 1.7725567015843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.572330898770612 0.579986646736594 0.487230865158876 1.77576208779769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.57172484374223 0.579046622910588 0.486382306082499 1.77105618419821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.572246283275026 0.579025867806879 0.486874501319037 1.77075395255834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.572461642203649 0.579760169875444 0.487504337167905 1.77476382605106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.574524887021148 0.582348023161451 0.490391155387643 1.78764158470586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.576217256487061 0.58428648929884 0.493047762225312 1.79668917863772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490059660276062 0.655977477753497 0.27006530845326 1.31100662928215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490054147662392 0.655755750162743 0.270030635351242 1.31028706931089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490029919233264 0.655693120780206 0.269943255774101 1.30990449476943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490105613371781 0.655759812710419 0.269975390940263 1.31016072670586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.49045224380207 0.655992703953538 0.270453250170958 1.31116848389927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490662180009233 0.656003507260484 0.270765229264725 1.31127976052895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490066143179153 0.655738604209601 0.269899920817353 1.30996824821772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490291669411557 0.655859701630156 0.270243251283528 1.31053296459036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.490680075127738 0.656055502597564 0.27069382525192 1.31127012777506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.491952643906413 0.656198890095712 0.272274325100547 1.31142026309189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.493593671834481 0.656510395371602 0.274327214272688 1.31338025471329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377257442149935 0.443594210908329 0.200109177792865 0.936175819761487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377227947916918 0.443859479790017 0.200196992272459 0.93727402336636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377110704633651 0.443884703715214 0.200207205150311 0.937381923234162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377129344712226 0.443941605365159 0.200187343449174 0.937645207811623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377110808638751 0.444842707019162 0.200396180650284 0.941032503876798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377266061356858 0.445769365064945 0.20077914191853 0.944539441526083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377357016262401 0.443760498410774 0.200360993463486 0.936915527955995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377547979983687 0.443732553260071 0.200490006258589 0.93664739255064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.378731553995534 0.443414431755806 0.200675174398692 0.935383300207915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.382090675669241 0.442900538232652 0.203674715186512 0.935242506709555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.386089487670391 0.444498339188874 0.208847000019083 0.941963994990884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19119323942683 1.18452235029194 2.12641427078553 6.60833342955588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19141516764696 1.18470715274401 2.12609554364439 6.60991238971546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19153935853188 1.18475482145938 2.12589999489552 6.6103709411944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19182817251916 1.18475576268946 2.12641605769932 6.61044964364747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.1917590830438 1.1853842052859 2.12671828120736 6.61627686640802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19230893668441 1.18542926779903 2.12740432690681 6.61570244257587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19175262902031 1.18474172141207 2.12719255655046 6.61206565774964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19211418613242 1.18509236801029 2.12774909445658 6.61690448062949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.19269258069558 1.1865903643242 2.12793967019993 6.6341236024731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.1996844847314 1.18792293457857 2.13826469750876 6.65470748257893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 1.20577072412507 1.19181928175762 2.14992148743401 6.70271124987158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.436652437696631 0.43710178395074 0.676847987227723 1.08613764569453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.436740561205735 0.436987199263302 0.676879342597885 1.08590506218137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.436906671241003 0.436892657168388 0.677074556952919 1.08565422880835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.436852156206585 0.436962716631189 0.67660946569332 1.08625253649966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.437349173437366 0.437349064008451 0.676479352666722 1.08767637777612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.438087995770928 0.437816812221844 0.676621123164522 1.08876611720614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.436922622170192 0.437303936664385 0.67779422994483 1.08755430912712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.437336046197624 0.437009494025112 0.678861908957091 1.08706598717486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.437988355221697 0.437131747368931 0.680153643040227 1.08883029288061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.443187009742985 0.437515437440064 0.690324866285156 1.09399905750221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.44559618658522 0.439028134730275 0.69307439555651 1.10227390911607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.322822124114775 0.243644341215217 0.465489325291082 0.397668139623202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323020124407298 0.243760905795635 0.465459387074176 0.39787852528771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323098830913709 0.243875203556208 0.465481564800205 0.398144968716335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323322020597071 0.244579977073511 0.465655002480868 0.399795892621531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.32297257941528 0.245447195561338 0.466051061078531 0.401881665171645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323083534880774 0.246513389854774 0.466389238906347 0.404250189378518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323480095846316 0.244088220239796 0.465819922657975 0.398659489698548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323267420260903 0.244541868105458 0.465765476675875 0.399520312302781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.324556460356907 0.24473033915412 0.466640466615842 0.400034785656043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.326910478012448 0.247754610822296 0.468787620163442 0.404639624891992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.329591439183023 0.249903643386814 0.473715405276206 0.408850764978527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.428367795919083 0.420361410512389 0.229025872518981 0.856239660358868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.428478918069728 0.420495858119858 0.229000057514799 0.856731945450043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.42863541455015 0.420681281290952 0.229036439414267 0.857319114859726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.429007240305471 0.420842001975194 0.229086401798373 0.857711578954102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.429282171533653 0.420862165295057 0.229202470584096 0.857838907127903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.430730604931786 0.420169968399689 0.22979855611039 0.855372047006805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.428014659290555 0.420648585627636 0.229330394726362 0.857099695877666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.42803513144258 0.42091662650109 0.229569447755205 0.85808730237155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.42800617690233 0.421068610961381 0.229927679663371 0.85875208354288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.430025006348354 0.42340851425686 0.232447330875626 0.86733522807606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.432021915747682 0.425402070863776 0.234536899471497 0.874115859450354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.524562679473942 0.525257478990198 0.8989988722372 1.39168970855597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.524280457604536 0.525221773846936 0.898446370428146 1.39171990784388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.524355315363415 0.525215236052253 0.898398924677642 1.39194010600396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.524764571923563 0.524966585351145 0.898198013063878 1.39101566403409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.525201299159892 0.524943803367542 0.897679986488641 1.39241338576724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.526312414567417 0.525630310697651 0.899814000310842 1.39864528582597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.524362460992361 0.525504523714633 0.898702821493353 1.39396232018277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.524755338465498 0.525836523918528 0.89917921504272 1.39543076506551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.525334972843695 0.526139864251367 0.900048639609776 1.3996643524655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.527181091908749 0.52688169430923 0.901135037396343 1.41370454717148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.529620131629573 0.528920207568749 0.906751510971175 1.42890689148604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360303978490883 0.351357567252578 0.163527186362078 0.636031472201683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360344111376235 0.351269501244315 0.163570691992533 0.635747372511773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360323379285551 0.351275931377982 0.163570320598699 0.635729905422379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360433267643974 0.351299550597907 0.163601686997225 0.635766297507028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361105272516936 0.351489170217372 0.163904779481212 0.63614317048285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361448961684013 0.351261222969703 0.163961287192315 0.635378601664036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360482699695944 0.35143991545768 0.163571977776506 0.636324648638578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.360513976884293 0.351699703429543 0.163657715462822 0.637130393509679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361146993282193 0.351845956503041 0.163905225967638 0.637792890051496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.363414747538318 0.353087232459695 0.165272401856878 0.641505838968991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.363578177952338 0.354321732953352 0.166066574014761 0.644938347044132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.761476902152398 0.667458678076356 2.14665150146984 1.83269325915834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.761509337552884 0.667476898649767 2.14675582746959 1.83274915127888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.761504705185571 0.667549054688863 2.14670884770237 1.8328699742988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.76146631532796 0.667617408115306 2.14652519966044 1.83302973549445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.761825419634824 0.667634309811821 2.14768784065476 1.83429852291876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.762127064858549 0.667683587964545 2.14847598059126 1.8362219396958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.761656248017904 0.667563996983146 2.14744019329568 1.83322754699808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.761734058020021 0.667612471696062 2.14664174489215 1.83268905560688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.762297408183657 0.667605973790293 2.14866502831617 1.83391657841408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.765013680313144 0.667853434254541 2.1562673866132 1.84238162331725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.765138795171709 0.667587801731316 2.15478395356671 1.84988444449891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350482821442264 0.342117533196659 0.189384117273054 0.647286431175265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350436718804902 0.342192011963098 0.189412685718062 0.647694608841099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350397462935601 0.342276136151288 0.189436438749952 0.648018112861214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350247352725415 0.342428391379881 0.189369423969573 0.648646869612146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350619853881852 0.342836857767928 0.190066531670137 0.650068645211529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350355046280338 0.343608154913132 0.190376182011385 0.652609488369511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.350964318755148 0.342600636916669 0.189759522522915 0.649012571861486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.351092218183958 0.34273381091108 0.189795209366921 0.64948108032935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.351571639417741 0.343232717100641 0.190179843430846 0.650973003397308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.353132343044611 0.346292769502771 0.192242303680744 0.661601468800436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.355786810871732 0.347923548883898 0.194366686372551 0.666565902185956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279267394130695 0.377725701687317 0.0936555657339713 0.505696011065406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279279027758987 0.377772354570202 0.093673671055142 0.505839729327314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279310175688292 0.377782608205429 0.0936937353058478 0.505866571327594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279361298481125 0.377866740564708 0.0937393783757817 0.505988160465115 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279665611779879 0.3786807799265 0.0938885175512508 0.508013441134395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.280028971766488 0.379121768578882 0.094152597662783 0.509132522826514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279373479390918 0.37786356203086 0.0937311864995621 0.505979675862544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279441789612481 0.377901616106177 0.093794310433154 0.505887151210917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.279974818467587 0.37845312395875 0.0940656753891829 0.506978078760172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.280829920428452 0.381717699039935 0.0954492268120697 0.514349755049196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.282151837938133 0.385170660173515 0.0971521193154789 0.521522450563645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132071361135393 0.0797439286958139 0.0285095235195898 0.0497711702891807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13100118524072 0.0804315555438005 0.0278904098459252 0.0499511470691967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130711439078103 0.080794372611087 0.0277891060809467 0.050111018974397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130956171285495 0.0816354552779265 0.0277707512256048 0.0505098113497355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130988825800049 0.0839718172803724 0.0283238198310879 0.0517144495014828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132192113920106 0.0873191812904764 0.0289221667726096 0.0536554767147973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129761096150796 0.0803433857951682 0.0275232916136004 0.050312941816535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129610150010103 0.0811751013584251 0.0275190158891656 0.0509497549588014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130272943152096 0.0837322036352558 0.0274955324887717 0.052125462877168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.133133954662522 0.0905186549203127 0.0288977472670043 0.0562900044587601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.134789606448511 0.103181180453281 0.0306439549229233 0.0656081181133714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.365024208766036 0.278914722159313 0.435978516761766 0.335775577792314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.365360655977398 0.278738619759413 0.435962481700334 0.33534065315842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.365556129873881 0.278650392302546 0.436451195821776 0.335318264363882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.366789098421645 0.278759178585377 0.437966892464924 0.335921814871286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.369768908290857 0.279254317606751 0.441899407219531 0.337082210210581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.372363199274654 0.281348648721543 0.443955983340437 0.340665690364409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.364480344171076 0.278828132709096 0.436200316933278 0.336064500953011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.364834159218924 0.278748692280848 0.437509211723786 0.336527512701061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.363772362020481 0.278422655219586 0.437908112598973 0.336319699911304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.366754262865856 0.27876486451948 0.439624478865146 0.334691702589531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.366969892203412 0.281497316970602 0.445546660484776 0.337196528862858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0665611378130709 0.0606267850458178 0.0298429563798266 0.0115127218812971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.066987913429417 0.0608893666118273 0.0297253496082303 0.0115900730904543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0673861588948374 0.0617914045138278 0.0294510134385803 0.0116608795601819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0677870002348788 0.0614512944633841 0.0297301506480545 0.0117499990025885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0723442072272447 0.0646418737808343 0.0306456551630482 0.0124345730686161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0765598014195562 0.070681389569003 0.0315135006209439 0.0150178369129888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0687852752608144 0.0624591982009246 0.0295498128989745 0.0118103764376901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0693085364497936 0.062477164687363 0.0296448568966817 0.012197204459452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.070408081307018 0.0628207297036616 0.0296938724890801 0.0125382390144528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0815446769579401 0.0677509051874114 0.0354226267385508 0.0144059258146212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0913526667827489 0.0784152707971535 0.0373342144494557 0.0161138423478739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0414103561355943 0.0141261979093482 0.00427469442994379 0.00058721273888329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0411358141712098 0.0141818867642733 0.00423019168928203 0.000591234168589673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0408174147743178 0.0139232317090862 0.0042057854058363 0.000586001821926847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0402505765197657 0.0140273839324882 0.0040677622992537 0.000574147725379689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0403273842081357 0.0162400467750545 0.00440693802698693 0.000937317869064613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0395955020170698 0.0186983917428471 0.00435928952610029 0.00123374871901935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0417350318131089 0.014069280275642 0.00449499747264076 0.000610401732040937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.041083951390821 0.0149197551354268 0.00462089687989675 0.000738173387103771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0421483821453281 0.0169453088133966 0.00490701592623202 0.00095069179797493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.048223468996937 0.0286559795182082 0.00573150891698836 0.00256296734951522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0543130004145147 0.0386396340356275 0.00859363997578632 0.00475404188816058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130419453902894 0.0879275730676712 0.0309423444806609 0.0342754287417147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129442552536428 0.0882844759913074 0.0306389869968716 0.0345234029687761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.129405611781081 0.08829182502049 0.0306829250509899 0.034640732719868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130000980653232 0.0880407096739817 0.0306922046513878 0.0344014323742703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130723508892016 0.0897267041334628 0.0322657903026273 0.035023514832387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131059642623249 0.0916960067699768 0.0317457333689407 0.0357019678540701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132119529274582 0.088356216286239 0.0312339480657553 0.0344574639480421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132746297900227 0.0881654915920113 0.0315622140366577 0.0344459705492811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.130977882362475 0.0888705224926621 0.0306266307870694 0.0356079193471206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131862200587321 0.0942136191134723 0.0318399880735999 0.0386876360022766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.134024052576863 0.101912417306716 0.0342066159417857 0.0430072985896451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144861879293384 0.159488262816729 0.0939688929689592 0.112144855017509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145261446024832 0.159532524591149 0.0933978460628362 0.112415432289148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147103158328362 0.160416605087106 0.0937966055539961 0.113204797521872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145938821070658 0.159635808388874 0.093938308591409 0.113049690831924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.146147475674141 0.160759937087322 0.0936852860981578 0.114470276091634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147996901837417 0.161265844946444 0.0940802622197485 0.115094123090939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144163420123665 0.159050685851476 0.0927062025871748 0.112541800722089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144234934476691 0.159354089306487 0.0911223907544671 0.113913464976717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145424973011138 0.161696715242744 0.0921489811783281 0.114628905597669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.152565348087984 0.16523919232198 0.0976444465341822 0.120367670221007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.160488951221097 0.171349642138587 0.104959589256669 0.123556032722552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102175876764722 0.0617466145761741 0.0220994918549571 0.0190660477976804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101827342950865 0.0617892045542765 0.0219833709654046 0.0191208997169834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101553843790512 0.0619544813891634 0.0218473551200498 0.0191853704674953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.101503439242151 0.0621651896301277 0.021769334551633 0.0192601364905032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.100270469899786 0.0631072461730182 0.0210367924206517 0.0196618807136399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.09877620977741 0.0664483664683245 0.0213769844797311 0.0210861668623629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102511328121573 0.0618127634027009 0.0223153831218964 0.0191500542351893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103034284295512 0.0624663359750386 0.0225392501064217 0.0192875237906137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.102724734787734 0.064848337689918 0.0232366244175838 0.0205735458778126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109523860497683 0.0712336379931496 0.0246966116413464 0.0221849846304285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.117687067265301 0.0789412446268251 0.025992306817703 0.0241235761065398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.33553606544927 0.24753676823638 0.484417863475713 0.364604854823371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.335132581713849 0.247464382665026 0.484230669741337 0.364572411137548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.334824740756882 0.247454379686692 0.483950205050193 0.36453627697507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.333872341407624 0.247322514926229 0.483722057531652 0.36455739453494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.33397829449544 0.248504120193202 0.483075221058057 0.366683295426539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.335455047418489 0.24975556464986 0.484349929857986 0.368121783291366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.335856032398853 0.247629892446379 0.487733127158303 0.366060933793178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.336217787867598 0.248446770971788 0.485221893965443 0.365880843942002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.335578149859104 0.248329145460733 0.484643141732613 0.366382770721623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.341043526564458 0.249926890342096 0.497179530717573 0.37175932054876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.342398784477332 0.251390217149445 0.502099994933028 0.374715795144815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.1427680985551 0.0617933364588888 0.037877014828476 0.0177030408340912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142847724781411 0.0616958300498572 0.0379538686530212 0.0176289689446384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142515834921563 0.0616135098186581 0.0378966179061615 0.0176304010711293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.142857738477212 0.0616349979023003 0.0382284499473235 0.0176542502104853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145071550729524 0.0627415305494643 0.0401214243298373 0.0178216488393128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148871426040222 0.0663392157581681 0.0426011785107893 0.0191323950619021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144056307540413 0.0621853170319936 0.0384430554681128 0.0179722118267704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.145487320818581 0.0626810567199124 0.0391160328977874 0.0181425110460438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.146305557762746 0.0635502663170193 0.0406833314441204 0.0184760798268494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.152470602367369 0.069838256907793 0.044175333612934 0.0207070179783106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.161754730058385 0.0772377174440122 0.051154647579166 0.0254325997499958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0826745639342683 0.0369130181217598 0.00802330497447753 0.00696812771025958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0825631000762282 0.0367404198564136 0.0079439813558365 0.00693923625839549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0823686310753889 0.0366968816281888 0.00789032509240625 0.00694085965795496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0824542229016725 0.0366209798073983 0.00790174027287374 0.00693060514073464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0825000849746579 0.0369820602652576 0.00785453396157017 0.0069638407731171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0828853076627717 0.0381199434849643 0.00794110520196113 0.00718645800580195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0839477691007709 0.0371817150198244 0.00822385588579322 0.0069938277430331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0846645564632226 0.0374132920990296 0.00835261472789319 0.00702310905637324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0854608785253234 0.038782264993139 0.00894680038933727 0.00731393232941978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0884829053861348 0.0437900977942422 0.0109937245043934 0.00858334222483265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0923735788920213 0.0527138494014928 0.0133569874432688 0.0112110067501545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359120764480426 0.412074782721362 0.167488861228466 0.804899875788529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359139496989219 0.412016085536364 0.167501706193825 0.804692851022862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359016099828977 0.412007976326835 0.167514620666658 0.804652578695272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359087655659175 0.412014809259227 0.167574783948486 0.804739980691106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.35907924812802 0.411987973344517 0.167816456718644 0.804495324052266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.35896070532796 0.412048259688248 0.168014554635909 0.804585383296527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359065220472981 0.411941808794153 0.167496387507143 0.804448988201206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359267397851145 0.412027674882185 0.167573178336018 0.804622693547643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359547884603191 0.412292515975212 0.167543680507621 0.805338327605285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.359919894471465 0.413895597867572 0.168433077544806 0.809942889212079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.361300401908284 0.416354851239841 0.16951697169463 0.817199295779282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377267150940648 0.303894735186178 0.807141716171393 0.485462088526832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377256080456475 0.303954676187937 0.807010898359127 0.485362087081704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.37740161449084 0.304022929905996 0.807240173915498 0.485621363421006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377489004791657 0.303959702924183 0.807294334403154 0.485495140795565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.37751789917168 0.303809502410009 0.807316292591587 0.485603033837947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.378155675368302 0.304212914910719 0.80766295104091 0.485835304373668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377445949508682 0.304134522012051 0.807422533635686 0.48607240595012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377447575332906 0.30421147916012 0.807173342890058 0.486153235231049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.377512773123668 0.304422347558665 0.80658204554494 0.486324819595231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.379125653757194 0.306595086361486 0.808775581291051 0.489693782443037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.38147483647939 0.308869158860731 0.81102501905775 0.493139181994447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339435210647068 0.336285823104243 0.165425122437292 0.592015164401587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339476933059285 0.336252531389726 0.165427973924462 0.591932365052555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339489181085914 0.336216211882066 0.165402793091453 0.591864331626002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339707221389239 0.336104304395215 0.165459529953061 0.591555491406793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339770240971654 0.33614184598289 0.165468549705225 0.591659033732846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.340146844623378 0.336449079103966 0.165583061059534 0.592445059306896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339696820206922 0.336394670595977 0.165536161235738 0.592279996107002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339695593442181 0.336618577142113 0.165585197686482 0.592815137981155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.339930005332203 0.337133225003342 0.165818115600577 0.594234329846727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.34122090648682 0.338599977188156 0.166886138063443 0.597838213537665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.343213161506973 0.340652012224226 0.168645481393674 0.602922222283441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0601328086441502 0.0584664336083872 0.00783431482924858 0.0163837125980947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0600668275725151 0.0585571468992078 0.00785751534838549 0.0164514881256713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0600307475000527 0.0586003580472028 0.00784951144230664 0.0164556609508099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.060042761860635 0.0586201113410266 0.00784545524108459 0.0164466015991937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0603183363903418 0.0589188330934799 0.0079057530344404 0.0165003324262002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0606539076581742 0.0593257728357988 0.00794796749244561 0.0165914464498604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0599581279485328 0.0584937754785231 0.00784321416887548 0.0164001582177197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.059951561120198 0.0584707903771404 0.00784148251842732 0.0163719977987496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0602537543899397 0.0586667566110777 0.00785956450769595 0.0163530354492078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631264453556073 0.0612912157945468 0.00847014485927378 0.0171561004450174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0683665231986184 0.0659283012955565 0.00950068952421437 0.0186688666408098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107438306549082 0.113610573833074 0.0552330182266474 0.075168227523387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107562820917467 0.113735853120715 0.0552762536212872 0.0752319317960777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107522319952137 0.11363866970625 0.0552304350018789 0.0751278528212506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107612756960229 0.1136764965826 0.0552149754872155 0.07514817442851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.108650753216801 0.114397254274187 0.0557278915447631 0.0754806738840102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.109672681591885 0.11546452677777 0.0560419056359411 0.0758862070088816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107412749954737 0.11333126809448 0.0551693704753386 0.0750006716352649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107578758468304 0.113371173295603 0.0552358196760261 0.0749628070963038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.107740601995023 0.113240697686049 0.0551845199680518 0.074734771442324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.110864798742293 0.115835877129374 0.0561296308136283 0.0756969730603233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115863612072625 0.120161532296949 0.0581489616519068 0.0775371891584475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.743485831727647 0.757063409440147 2.71282985609946 2.952520060562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.743482153541292 0.757097143463894 2.71272835429202 2.95256441119154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.743498404544912 0.757318517205318 2.71289644680839 2.95381765424025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.743496280615484 0.757294503472778 2.71296961292242 2.95412943844262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.74390860837842 0.75732297616312 2.71535725564875 2.9562171366002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.746322969357582 0.757990852347866 2.73391053853748 2.95896666328293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.743425976008767 0.756865551912121 2.71214397076892 2.95042380881292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.743514822986272 0.757113631311829 2.71238638509801 2.95219055595294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.743669645680267 0.757790673545019 2.71279569652907 2.95538968419422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.744418800201662 0.759178153273596 2.71621743647911 2.96442422950604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.744229635153118 0.760923479584291 2.71333351660159 2.97637067614234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0176249826025536 0.0114669713078884 0.000262911951055675 0.000549001759839272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0177014185338614 0.0113684066249816 0.000261980066717902 0.000540837038621929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0176277720464801 0.0113699718109286 0.000265473608689869 0.000543414537645468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0175716648508526 0.011620696814782 0.000271231962671345 0.000563056746405636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0179651865185981 0.0135242607044506 0.000298868798372362 0.000702498904026986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.019344847363859 0.0161996908230727 0.00039055250913578 0.000916351242351894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0174709622579676 0.0116012793842988 0.000262990181595489 0.000558792274283453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.017710293977504 0.012076619231618 0.00028017109682729 0.000577821326241706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.018397529328704 0.0133722595229042 0.000325552686128423 0.000678700464164416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0256636139600505 0.0219208254498744 0.000922909135693841 0.00157156163044333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0357218853947612 0.0326675693199209 0.00222400908000501 0.00322935355722609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613616391914621 0.479798170087937 1.88711070414253 1.68477081131268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613513169572943 0.479834729835885 1.88696751508607 1.68494302371233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613483708586411 0.479913931640797 1.88692817956246 1.6851440952833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613655002662379 0.479921917185839 1.88714940394548 1.6854819056297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613754455708959 0.480431628861782 1.88758761090464 1.68801347372263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.614277356855875 0.480537352712546 1.88754477793363 1.68720953747965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613514902077244 0.480037179331153 1.88700949366922 1.68531221594241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613355655869986 0.480731481756853 1.88595745122247 1.68808086633306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.613759048165815 0.480934640167327 1.88607243576193 1.689103340983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.614660977479734 0.482836156038453 1.8859965054583 1.69457059649411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.616394728937542 0.484657263442405 1.88818622807304 1.69858376560577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501608010547495 0.49459694521965 0.795958893734091 1.35156898300255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501604903940521 0.494610975811424 0.795990385769079 1.35175593516812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501624863447323 0.494569930734934 0.796116449573972 1.35179610322117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501367750591463 0.494372847992654 0.795646516372295 1.3510773880649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501406497429907 0.494499669275058 0.795533601027197 1.35182130182505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501716794304051 0.494276205910199 0.795697565043069 1.35130526458705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501332316128617 0.494378263648556 0.795622472616005 1.35127246641469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501458591263005 0.494337381783723 0.795521254628637 1.3511143455934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.501531420165417 0.494070353620337 0.795378382409649 1.35040333069932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.502930935796226 0.495503420959885 0.796612065327862 1.35745806286627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.504979299183969 0.497999117639388 0.798330630172198 1.36771525572305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.23418395753862 0.621930857505672 0.279046008757004 1.02093392655433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.23415822344317 0.621816566423552 0.27889499121999 1.02064670755923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.234241591620485 0.621818809149087 0.279154919189189 1.02048617518785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.234370645201292 0.621715680057688 0.279392727004199 1.02046943302575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.234430890389398 0.621321522635364 0.279279522017807 1.01906928415574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.23494734771351 0.621388034277538 0.279873581254107 1.01879161170505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.234013581480426 0.621996819678924 0.278410990297734 1.02086799438835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.233959297063862 0.621804924252543 0.278447846593112 1.02040885167606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.23421171380237 0.621649773108647 0.279278938018653 1.01994223600561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.236146208349217 0.624015489028779 0.280853686207622 1.02061578587373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.239801732971296 0.628325641428071 0.284168978497884 1.02309481679867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183694103431342 0.200400566186364 0.102920170366032 0.228394552393084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183697215827654 0.20052214966019 0.102920858612272 0.22857752699166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183737176495997 0.200509812385747 0.102874742424231 0.228539139965228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183832241069921 0.200476843624636 0.102856518502258 0.22847317534077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.18423147919285 0.200238481266842 0.10304339256039 0.228051657453039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.18444125557266 0.200477148568381 0.102923620590965 0.228471821989501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.18369297947093 0.200381873317277 0.102880728781356 0.228337192134091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183745080873525 0.200429755639938 0.102893856902277 0.228403687497073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.183535243460348 0.200743728568649 0.102935121477615 0.228918011118515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.185137968943835 0.201602058615648 0.103415446260783 0.229873829213885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.18728693246127 0.20348899130842 0.104541292006564 0.231773429341511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207288009707214 0.178256512588897 0.2774944473088 0.16691179193952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207364714639667 0.178297224507144 0.277635153490175 0.167031504354613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207415020753094 0.178347385438081 0.277596410259728 0.167019473085958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207339952438748 0.178394112356259 0.277505140550346 0.167041451355035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207497917819817 0.178299576270642 0.277530074328866 0.16703492794616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.208077045697833 0.178494017467487 0.277921901528088 0.167403700021669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207475118654124 0.178009724809258 0.277804476643654 0.166817707513798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207614927309383 0.177910936502068 0.277757724806757 0.16674880783315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.207904370645552 0.177827478568632 0.277954498914363 0.166703309132794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.21033636805653 0.178353868516713 0.278909587436079 0.167173788492517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.214494440680717 0.18044164679388 0.28088830812396 0.16923159404376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147960952126335 0.155590152593772 0.0988852735731577 0.217265930186185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147942870131036 0.155637738376835 0.0988452422655137 0.217324417137006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148033897530221 0.155715090412229 0.0988652148100709 0.217379000625175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147912984831761 0.155696736872568 0.0989048479908632 0.21734043150554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148668004480823 0.155996421612565 0.0994768999326078 0.217594574269234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.149559257291831 0.156580242029319 0.099993584555598 0.217951271343505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147799645255877 0.155422663727539 0.0988303354357562 0.216944415337553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.147821066852422 0.155444777020515 0.0988802801947401 0.216958999957613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.148416271678099 0.155765999313064 0.0992912179974063 0.216877371719752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.151046504351574 0.1582448146555 0.101070730534014 0.217757866334398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.154850817711857 0.161679990855568 0.103060091397921 0.219344828925081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121502655489579 0.181544458266303 0.0291340884214779 0.184990296894371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.12148615055746 0.181590497375833 0.0291253718993454 0.185037617095227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121599304725982 0.181623734104699 0.0291328737384628 0.185068028478766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121403604259443 0.181711423276814 0.0291277820633863 0.185284621058449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.12218873137361 0.181749430363909 0.0292540281216179 0.185321339333445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122745158246887 0.1822767702621 0.0293182189240197 0.186207314124906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.1214066497913 0.181729961374558 0.02911048265352 0.185144766161855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121390969760075 0.181678563483924 0.0291277810254783 0.184969115596573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.121722936656804 0.182036907976438 0.0292302613123837 0.185288013950845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.124155878962474 0.184206740263107 0.0294607657049123 0.187067109362891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.127100389269368 0.188559402483391 0.0303679945721986 0.191280466122096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442658911240488 0.625889676876648 1.09857836934235 1.36408230470012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442595716406333 0.625889098089309 1.09837485358424 1.36402174994788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442557738071231 0.625863294369511 1.09824851876614 1.36400548016819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442521108136429 0.625873338514139 1.09808066405413 1.3637262195007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442538663532138 0.625950881223533 1.09815355194531 1.36384369326857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442788608422064 0.626182572830566 1.09854385993532 1.36452274993406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442597426767558 0.626068387175258 1.09823729486717 1.36409956299921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442547165864247 0.625956523785018 1.09836107014391 1.36379247891302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.442775926488258 0.626305880155485 1.09905272837018 1.3641483950756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.443971281602296 0.627073975552192 1.10227776423625 1.36650397538935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.445330938506322 0.627866315412384 1.10667996144274 1.36912526294122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112422542832298 0.135306948199504 0.014097965783251 0.091311070602773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112407688397299 0.135329894877589 0.014110798969963 0.0913280687022988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112445150072174 0.135326327058291 0.0141244974829475 0.09130301769044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112447993626045 0.135336587062499 0.0141328785079605 0.0913002916894359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112474228630921 0.13537510790724 0.0141702669991028 0.091341380812629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112559198184326 0.135571691031557 0.0142480968836642 0.0915377233366028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112680669962112 0.135170838289125 0.0140779776461252 0.0911811004367664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112569113737388 0.135301401304247 0.0140919442715 0.0913215853129627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.112593702001483 0.135325310052673 0.0141405981387313 0.0913739056452524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113830434754527 0.136344846217923 0.0144953340730231 0.0922770992180772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.115730240792628 0.138937565289675 0.0151746644363371 0.0946841221894043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0343582181123436 0.0256385651226789 0.00547359365353162 0.0125661242803894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344502565238179 0.0257498820642079 0.00547819639644845 0.0125815862196382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.034557555992585 0.0257880547564081 0.00550025374069503 0.0125737290188497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0345428692573401 0.0258979647994408 0.00554155491977616 0.0125824825030674 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0344952161912369 0.0267452160707805 0.00566947225830924 0.0126560632755358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0352611473409555 0.0284923725185117 0.00585507542160713 0.0128056300120538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0343372196594917 0.0259462308430101 0.0054754886174606 0.0125869192500504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.034402929818702 0.0261882311940556 0.00551389416097633 0.0126084665175945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0347951621142806 0.0270282726519583 0.00560169955514832 0.0126499550834039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0395782039626016 0.0326329041316831 0.00620945975184662 0.0132015984343839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0468036182699581 0.040329429243807 0.0073726331532579 0.0143073347964757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0245413341280345 0.0207076181843748 0.00426813773879811 0.00223114812229282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0246785783704302 0.0207220674400091 0.00427796527876589 0.00222075563173093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.024679845483214 0.0207115571352028 0.00427109393278188 0.00221408711246332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0249297292495181 0.0208043051529905 0.00428100668149917 0.00221961549495004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0253713878550277 0.0209033142673504 0.00431180103649092 0.00220378166843262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0259633957261961 0.0215020135309126 0.00434289956778072 0.00223241927847984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.024690361700169 0.0207004650580477 0.00430610384439228 0.00222072384094026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0246581263265907 0.0207716970693895 0.00431249392691098 0.00225146248908619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0251276155133812 0.0214936522229215 0.00436089406988068 0.00230681461269813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0294047823261332 0.0256917968496432 0.00486520525318171 0.00279053501273598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.035597391538578 0.0322067922216653 0.0056160984974649 0.00382538405416536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651673684555453 0.600990026021764 2.40158134815522 1.58545652896788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651680283938391 0.600962637895829 2.40154378888978 1.5855074337555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651632553772064 0.601031239968185 2.40136318319214 1.58550419023488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.65161810864883 0.601072763763663 2.40138832574747 1.58555308598343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651675263044661 0.601209214231547 2.40161432282853 1.58590954143943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651813630552386 0.601491910791116 2.40233448025803 1.5863385531516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651736258701147 0.601005739356483 2.40183222495715 1.58577355197515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651769354003402 0.600980407426803 2.40227555481013 1.58611308766664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.651809663884087 0.601088559749463 2.40243381701896 1.58611284814699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.652849392878643 0.601513106239906 2.40726953056765 1.58915346798688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.654374739042424 0.601588894561479 2.41346052114832 1.5919650328775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0138269574289358 0.00891846268943982 4.68904906382483E-05 5.84379580808785E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0139560942825398 0.00906131705194153 4.58001046164147E-05 6.01139069733249E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0137821723360716 0.00890416582155321 4.69713381519613E-05 6.25318662782847E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0139416127048182 0.00909913876548827 5.20979392470625E-05 7.0061189086375E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0146779469865262 0.0109065425301182 0.000105409261722412 0.000139713365734571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0162928329302273 0.0137997550543551 0.000215615655195444 0.000282767747211966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0140121221033736 0.00906226194411433 5.25501678724135E-05 6.5053845724758E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0140516329796983 0.00933473302584429 6.46652697544571E-05 8.08911964530565E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0148410405532068 0.0109222772594952 0.00012275411830685 0.000144890596107308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0242267679122744 0.0222505386943532 0.000796838912495809 0.00096069302510352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0363224498929629 0.0351502576282842 0.00236523519175671 0.00271880734650745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0385889793010193 0.0700723912965674 0.00382962672560242 0.0300934306781693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0384597013852879 0.0698161794915079 0.00383471782265556 0.0300347212730525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0388230941862567 0.0690517081917559 0.00382873928020669 0.0293700196393403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0390380384489494 0.0687016782844675 0.00389937321245537 0.0292788787309053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0396437797173614 0.0700232659405768 0.00410951306243539 0.0304319541765651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0415138288739851 0.0738992033588592 0.00458742943877826 0.0322235354635416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0386981097943991 0.0703848078058284 0.00379581329815129 0.0300259579480492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0393220580305902 0.07181526257664 0.00380232879172833 0.0304321125035602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.040691762602275 0.0747561746578791 0.00398708090767051 0.031292731786421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.051995169551999 0.0959791416203507 0.00602639238418977 0.0395327639998402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0663167586191214 0.123051457772036 0.0107940771234388 0.0557339048276023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196478832414343 0.352849563776194 0.0909170078897051 0.631727147125366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196450705757709 0.352764789473069 0.0909807078166848 0.632053830885972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196672510940168 0.352599693594262 0.0912191357141684 0.632228285883409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.197038101833414 0.35263526132776 0.0914909323507869 0.632459904059702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.197713634737691 0.352540244327341 0.0919151193570026 0.632300887719798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.199228526137216 0.352492574528596 0.0922406425081417 0.632152509447858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196793181689816 0.352381872140268 0.0911958089312924 0.630954820942274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.196815488154291 0.352267446908424 0.091654288715003 0.631290448723495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.197201514701838 0.352476033199689 0.0922885877539692 0.632393994530281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.202755242997319 0.355370370403989 0.0968703584369758 0.637586528664937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.211152822884574 0.360010289641207 0.104187902174941 0.647186762038396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.176111556740329 0.776608474913203 0.0446817659316601 0.312332409751261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.173613658783421 0.775251983458692 0.0444811509107406 0.310998063660781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.172205279569938 0.770271809133864 0.0445729823104825 0.305397460876073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.175150790090701 0.766335140877538 0.0448952945248155 0.301097403228464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.17418510894792 0.755166494490591 0.0455153588255578 0.296758299496549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178628845560985 0.764092241510571 0.0470252892573744 0.304175241841905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.178939037351747 0.779692072584721 0.0474501010395544 0.315208367685044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.177756258202572 0.77376923122368 0.046662361352289 0.309684322924641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.179226259523557 0.770720316711476 0.0469024726614365 0.313620501947094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.177014542483506 0.774651177451804 0.0534225950335749 0.311915374029573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.181414710405217 0.785993919986895 0.0621478958183244 0.304603176879974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0466742059797807 0.160234456771954 0.00736265751548546 0.111920400917355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0462250287340515 0.160214085379987 0.00720060581648139 0.112259672974311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0457550839207324 0.159874874546403 0.00689796531341076 0.11171649689998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0470035252259828 0.160362130386622 0.00686842814565761 0.112101518114767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0506957105972633 0.160630241900031 0.00713558180451224 0.112013463443327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0557151075767722 0.161246409971175 0.00761437795047623 0.111748574753702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0481563053186794 0.160345783180902 0.00786864176007655 0.111695456517714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0514478325595764 0.161339534355003 0.00915846659175073 0.111810570038357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0578489052541507 0.164083789397404 0.0119910413818681 0.112879574170512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0925084068418208 0.176510380818134 0.0323401223977405 0.125034250935752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.126013603041645 0.195381288847856 0.065556070126387 0.150327456506002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131760211100813 0.444124167735263 0.127381603863811 0.842838603883121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131873609767872 0.444226568831389 0.127421335211564 0.842735380319769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131854105350528 0.444452389375632 0.12742424744044 0.843216979244222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131833652119634 0.444678532176462 0.127404978660477 0.843389080994432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131783936373676 0.445680339914271 0.127035799187306 0.846057275370975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.13251806331636 0.446955585371832 0.127177243386272 0.849145685567601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.131949981342806 0.44400079676113 0.127298769096267 0.842658923448287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.132336679644458 0.444173435102066 0.127427091865507 0.843001472342631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.133198282437648 0.444630383186873 0.127776104778245 0.844068116677672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.137777944146796 0.447259053092751 0.129791574040724 0.850890813143196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144658853577255 0.451218965557884 0.133643002568582 0.864196468749414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633666195401617 0.052797651429204 0.00593632474328198 0.0235757739224621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631946515995092 0.0528507465532604 0.00593386254210515 0.0235557498412561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633030650375887 0.0527693966787093 0.0059326755632753 0.0233977903301538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0634871993122388 0.0524085146801783 0.00597056792554503 0.0233060028246728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0644624321941326 0.0524986036815929 0.00622998851102818 0.0231023810080558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0660531318091127 0.0539423436246458 0.00647129055856572 0.0233382991398387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0633349221066914 0.0519404553521063 0.00582583388798182 0.0234219138466573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0639159097785974 0.0511843292471853 0.00567492003201839 0.0234013050831685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0648311685261219 0.0510213174429474 0.00560254070996665 0.0234144866112535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0725297052567406 0.0601967516226916 0.00704097516443187 0.0255723131048195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0848045325202599 0.0738212757326599 0.0118334650400778 0.0306124715013397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0936796291661336 0.331519659975024 0.036044604005098 0.663027810069956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0935228928941407 0.331448124558018 0.0359865287446189 0.66225940667562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0934649017820362 0.331176448955952 0.035966472553233 0.661416471033333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0933873134716406 0.331265415576644 0.035998644898995 0.660092916581954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0942806995316936 0.331367117016383 0.0360616337154272 0.658852818404203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0944069720827736 0.331584056306302 0.0359401971596135 0.656469116273212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0941466215495484 0.331249766323222 0.0361392489423015 0.662353066808228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0948260321327691 0.331197758353008 0.0363016531875332 0.662865752324184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0962122775325408 0.331797814827916 0.0368562648036373 0.664825005439596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.103527089248986 0.335605535160281 0.0401014496976881 0.674084242319388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.111741141107354 0.341753301529529 0.044748629047556 0.691543826391073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113824072988682 0.113834239743853 0.0143899781631896 0.0630685372237919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113859239028084 0.113717140045077 0.0143433656517113 0.0629958428847957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113676853058461 0.113535830105963 0.0142730452518765 0.0627156218405305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113357938352271 0.113726627285259 0.0142786523207087 0.0629663324849094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113317599769309 0.114556932580637 0.0144559823509031 0.0635526113873376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.11359800641343 0.115662467714979 0.0148835083578364 0.0645178875890311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113340260172408 0.11391148384719 0.0142139641218178 0.0630855675843469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113278057165548 0.114011078826031 0.0141813493118848 0.0631605151674342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.113953439180511 0.114050500962388 0.0142628020878957 0.0630021007082411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.117771147738436 0.116421267644705 0.0152166444580002 0.0638864098110163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.122424946206603 0.122516905845208 0.01709877241856 0.066945093362547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312809137778885 0.44563786576198 0.583899522316247 0.96485092995766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312857357444712 0.445784596828059 0.583894126972309 0.965327419250267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312899880948351 0.445944655718375 0.583898668391747 0.965608693817856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.31297797042063 0.446111044016414 0.584038532352738 0.966339958498777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.313208482792146 0.446415933804384 0.584209242725919 0.96737446583513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.313747355164926 0.447554597776911 0.58487088380946 0.969777844740596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.312935386455051 0.445612064100428 0.583822992349185 0.965094516344822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.31306199561806 0.445566211582681 0.584141029168655 0.965218752016265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.314020113193415 0.445554651867425 0.585074361951366 0.966124961890079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.317873703154867 0.445920713757963 0.588434325033538 0.968418120292858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.323406545911325 0.449117189717852 0.593968816531432 0.97459547370517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0581287790800615 0.188592417092943 0.0195863701465542 0.17487881124504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0580396239447911 0.188694735688219 0.0194173560992063 0.174985044788712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0580271883268499 0.189022189898784 0.0196077564274696 0.175137852115909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0583489491476416 0.190010995007597 0.0196076670542042 0.175653385409464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0631699399428 0.192084971087388 0.021883697126578 0.178224636958732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0678488441261774 0.190670156538476 0.0248534332695555 0.176391354799858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0574344661658074 0.18841010154032 0.0189031852062445 0.174288892272762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.0597739824563417 0.187403480632595 0.0188989495445046 0.173181089347443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.066259597504084 0.188822780292319 0.0198216953612113 0.17423037031345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.10117060118399 0.189983514557444 0.0322119082853599 0.172224161881784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.1) 0.144486057022065 0.193742998687335 0.0558454393240484 0.173583617914936 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11654805115368 0.0980426175875534 0.0172810435283046 0.0518902687125317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116638249116085 0.0981474426167651 0.0173226157154695 0.0519195606776733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116646498463344 0.0981344909196372 0.0173314776332183 0.051887571529783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116197830131469 0.0977076140904292 0.0172376491968855 0.0517216971967638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116484601068798 0.097262769311562 0.0173534337165365 0.051097258331546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117101103160388 0.0955047681748741 0.017618618390224 0.0489287044354282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116729222101226 0.097527703637097 0.0173349877916665 0.0512114296706926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116479151246742 0.0966589878528646 0.0172806525673153 0.0504852850633367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11692930545192 0.0954984644522157 0.01741273355161 0.049056571352038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119266932039064 0.0884549054584809 0.0182524987417765 0.0408894545237361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.122011582234422 0.0783989702782885 0.0195816095689361 0.0304896565891049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201162425421275 0.227380636612756 0.0668920575067083 0.243064404508788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201186929180674 0.227409011048846 0.066892935147997 0.243111950814588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201199532013245 0.227411940372154 0.0668991715385705 0.243120292170406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201243620909997 0.227436638116515 0.066914518727808 0.243176208454362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201512841530774 0.227389184720681 0.0668623339163793 0.243136452747748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201608692062899 0.227301352144643 0.0669127903668771 0.243041056734263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201511993003078 0.227589904191456 0.0669787533545566 0.243594566502995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201566726355455 0.227565771661335 0.0669893141444422 0.243598630676993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201735574524563 0.227985710901306 0.0669324072829002 0.244436021958499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.202559082533915 0.228037610402532 0.0671754947215657 0.24502766999973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.203375319000445 0.228534404024893 0.0675248733565018 0.245916083772319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412185049425628 0.0650540074126616 0.35098172272535 0.0178444574461276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412168777470954 0.0650622235991734 0.350934120472442 0.0178444809366176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412145805799566 0.065094546545349 0.350880086608673 0.0178639792291892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412280105502812 0.0651878694073314 0.35065413786424 0.0179015305721429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412159404793593 0.0654383324156744 0.350346386518354 0.0180235636243132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412236549892323 0.0658324416364947 0.349923134063823 0.0182211354212902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412191742060189 0.0650275422960571 0.350970578679482 0.0178167399080557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412204169822228 0.0650223553272185 0.350975109931473 0.0178013339930318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412245538094183 0.0649863383300514 0.351020742537496 0.0177549828707056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412971604612672 0.0649681597632394 0.350983120471747 0.0176183554517655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.411367546742971 0.0650726472807366 0.34957997739887 0.0175627803598852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218922622465997 0.233050263131747 0.0910655399011706 0.246839933280852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218932303389569 0.233015979572169 0.091072588098193 0.246798926566938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218931926315662 0.232985377762214 0.0910735842522818 0.246774458798616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21869358935346 0.232608060286301 0.0909488359973566 0.246168961166772 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21963321995718 0.233388559079683 0.0912100478750737 0.247493627899313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219677170032823 0.233223613167262 0.091241879297163 0.247267350778812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219008932348845 0.233097515017116 0.091086622009115 0.246922513329097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219127072620338 0.233183528591776 0.0911316964814491 0.24705130336742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218816412640958 0.232726244382187 0.0909863996719682 0.246327680155738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.220026680659692 0.233508757439859 0.091277592213861 0.247671459980942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.22265916498918 0.235209924317809 0.091828715808648 0.250654449955589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.24699862771102 0.158459967811094 0.112047506789502 0.123705331935448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247009992017804 0.158428057781595 0.112058646513442 0.123683936725838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247021618861462 0.158389680200474 0.11207150091172 0.123645045356749 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247112711746405 0.158514259535513 0.112269138053996 0.123834585897014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247418466345002 0.158367946996857 0.112370224189535 0.123841856800838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247955632701441 0.158332869053853 0.11262964481683 0.123893982620364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247480104661833 0.158712795950104 0.112225558070116 0.123996064676082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247664985385068 0.158902858561895 0.112454863677987 0.124196355953072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.248241461439184 0.159130426015871 0.112754947728044 0.12449612247661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250219269330244 0.15989858187105 0.113751411134559 0.125518598545226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25243260513594 0.161088551098097 0.114814212517135 0.127146165498668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193678416168618 0.179025941071534 0.0618950621161444 0.154463161957868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193698431576939 0.179021976510671 0.0619147055627874 0.154459057407455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193690876868417 0.179031958020687 0.0619326307206523 0.154469925475039 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193481566538741 0.17911138254515 0.0619412774410801 0.154522686950967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193427167525826 0.17894387576183 0.0621256097927455 0.154253600705168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193601902258996 0.178948192893995 0.0623022665923621 0.154288613617784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193696075681151 0.178929688585973 0.0618915679608674 0.154348532050147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193249381200433 0.17822908707326 0.0618212617325289 0.153241472332406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19256819111399 0.177793325110673 0.0614787761715593 0.152647981979129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.192878669304102 0.176886460794306 0.0615953863944697 0.151581156120911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19469194363404 0.176643516354873 0.0620825908764291 0.151446307177012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13001438230749 0.186315354704313 0.029652552633046 0.155303437417274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130055345981846 0.186268276187136 0.0296317037022497 0.155180442242909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130073863838989 0.186258020234755 0.0296341743014452 0.155182045015208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13010703604067 0.186579536998988 0.029699555026194 0.15574688680022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130400251218871 0.186145718918769 0.0296838361544462 0.155249038836201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130507807847869 0.185727509135548 0.0296665357525317 0.154679995033908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12988365779467 0.186438945021602 0.0296605998859954 0.155357260244122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129824545854371 0.186358786812646 0.0296436743091908 0.155176893199789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129925459620933 0.186136531900335 0.0296868580683714 0.154620723745606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129160122105606 0.186264437116904 0.0297618299251353 0.154334161958279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129814972567285 0.187073957727378 0.0298922347648033 0.155233903216937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.16967484835381 0.130753022450496 0.0528509363609227 0.0808980463254263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169713278733556 0.130757662394237 0.0528636533842921 0.080914502552934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169748809426529 0.130752368442057 0.0528694985158407 0.0809150297459287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169817893781234 0.130749856487064 0.0528841240200005 0.0809179845047912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169922444235126 0.130869263281506 0.0529863866867716 0.081125209509117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.170107036067531 0.130876303460919 0.0529813286444757 0.0812581714338967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169602306829471 0.130786008385798 0.0528565588305325 0.0809521831942333 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169520358868852 0.130772192977109 0.0528564079465448 0.0809537683755029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169409320667722 0.130747330811146 0.0528885402747475 0.0809733839901169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169165537436564 0.131015606894812 0.0531507212230451 0.0815150651830069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169547037296433 0.131752140189724 0.0534764661455938 0.0824277359415427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.234056415935535 0.25801594151445 0.0939990115480375 0.302149596481912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.23407000663321 0.258026460894295 0.0940055718209749 0.302156049151307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.234072674850264 0.258025133762512 0.0940121014466496 0.302155933196792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.234138392640156 0.257843254825396 0.0940526001689988 0.301895379435964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.23484701823468 0.258617902499889 0.094219662484711 0.303365923152866 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.23525178426936 0.258796523380394 0.0943569741770163 0.304000766840279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.233875905714209 0.257762230793052 0.0939787548179928 0.301703082106509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.233738009270732 0.257636673962674 0.0940073167081233 0.301289370257231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.233932233597792 0.257829984661616 0.0940537691057462 0.301679611412315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.234841441445638 0.259222481769066 0.0942525649379237 0.30405922850965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.235885279676357 0.26044078018151 0.0945928396957967 0.307586632700685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222401283649889 0.0414850680752156 0.0858612777650204 0.00700817632487223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222396103690047 0.0414341233881705 0.0858558671385822 0.00698817720866411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222425720866175 0.041423517856875 0.0858769080273417 0.00698354788635946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222486117130563 0.0413950184745775 0.0857848486077983 0.00697156829830012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.22279369550946 0.0413371211646068 0.0858845309299601 0.00695740691415027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222676858126969 0.0411294257056986 0.0859136854196879 0.00689737349448508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222387296750325 0.0414843135565455 0.0858511736393235 0.00700754309492128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.22242285570229 0.0414614114088586 0.0858769178534109 0.00699910908334355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222453529646977 0.0415026302143083 0.085883545485144 0.00701092404437019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222474836975748 0.0418747385678586 0.085707891953447 0.00715008898039902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222988697517073 0.0423336590172387 0.08597186256037 0.00729847602914913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0935228078205502 0.101334985540217 0.0107984374542777 0.0744124975477639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0935815391260002 0.101208070457834 0.0108113408480911 0.0742141438329555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0936319296104767 0.101107460825388 0.0108291175109214 0.0740243313283721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0937259612761582 0.100887066265601 0.0108500567065177 0.0736455998724743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0940556108731439 0.0999882691802313 0.010940608681253 0.0722278972018301 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0946655398606425 0.0987287648561563 0.0110974672981 0.0701151438088449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0938112412592718 0.100744500244333 0.010889119358374 0.0734063375593661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0942516538410873 0.100106646066057 0.0109852212937589 0.0722595791841471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0946554776026602 0.09885858694299 0.0111416525090614 0.0702789339656599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980301184481033 0.0906906256176704 0.01222976027272 0.0572084009622785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101753614350797 0.0812122121638841 0.0135902079748368 0.0437634078855814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172169756296759 0.220698204594693 0.0552789819218401 0.22399356042496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172169516783904 0.220737912436165 0.0552880791905088 0.224060833636253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172182201641691 0.220761485471919 0.0552959634026221 0.224104995432933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.17218074615379 0.220820554484098 0.0553128874486403 0.224209406261253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172098422430067 0.220799936009528 0.0553615536055992 0.224149591831162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172076489441558 0.220954079898309 0.0554377902405915 0.224534222239472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172170711790542 0.220713818297775 0.0553095784171734 0.224039412877573 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172191311583288 0.220692214779506 0.0553361319473707 0.224038791231827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.171769350047052 0.220227216929144 0.0552748698748775 0.223197076849405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.171617226962854 0.220405487450752 0.0554922779590149 0.223940970094825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.17225278509571 0.220707383751307 0.055822063451058 0.225262479434771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408271385278481 0.0640633674187597 0.31901598600127 0.0170857421112691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408291713554343 0.0640351012118632 0.319048331081152 0.0170680285982731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408271841830205 0.0639947522463459 0.31901274709289 0.0170443765378903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.40827682389917 0.0638903220369947 0.319029943950934 0.0169823927693609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408275764931937 0.0636087013473396 0.319021443901754 0.0167828687800441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408271314520962 0.0632903520501877 0.319004240092417 0.0165587971151302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408263076312963 0.0641146874187598 0.318961099050353 0.0171384867502859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408252999071584 0.064158600522208 0.318897324549733 0.0171919595605181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408749114826387 0.0641830095641165 0.319247276430807 0.0172393491738354 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.413294754432136 0.0648491080839549 0.327323579394955 0.0177441026117556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.413912722931452 0.0656329095716743 0.32643596924606 0.0182051353807376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211733079851485 0.218049147534868 0.08187895649093 0.217609087846133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212026668323791 0.218336783283204 0.0819426283515863 0.218058528343612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212058668323791 0.218327799112857 0.0819580947831835 0.218055958733539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212088433773229 0.218328261191509 0.0819846003301861 0.218082549135606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212253179701082 0.218364476079149 0.082053232211057 0.218164313664849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212190848633824 0.21801430326496 0.0820804949745736 0.217790493978231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21190411455661 0.218163813734027 0.081915191948707 0.217744959811843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212035424514534 0.218252904898122 0.0819368345895332 0.217844602299116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21237335221064 0.218767924922429 0.0820662953419286 0.218506834500593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.214080038147203 0.220347764169845 0.0825216447428074 0.220801601428651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216037651717881 0.221896410082405 0.0831200411406264 0.223071304615712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223278796129808 0.152342100847487 0.101842251884966 0.111924447293791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223289524642768 0.152351132225386 0.101849701765978 0.111945958928353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223320249062959 0.15234742144776 0.101873178885131 0.111952088395782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223371449608661 0.152390038015525 0.101907473034308 0.112026315268564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223505569701871 0.152446007611994 0.101976717515922 0.112104085565135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223865091421375 0.152711935750126 0.102194220026672 0.112541601237641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223140469995497 0.152252846770816 0.101846586628809 0.111797675684693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223195739750265 0.152312977561007 0.101890939091369 0.11190661310832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223190225533188 0.152250669533637 0.101984105440389 0.111853539921141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223805970871704 0.152918981472639 0.102527732626756 0.11288950020178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.224668434898196 0.153686439531727 0.102994100650141 0.114021123972742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151201936397195 0.151404814533763 0.0437007498825561 0.110627148355869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151244783112523 0.15141132256296 0.04370188670455 0.11064206503283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151282150995735 0.151416208694347 0.0436990553794461 0.110650725234534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151175753876271 0.151448436229701 0.0436810692392838 0.110678460750006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1515224206593 0.151298289388838 0.0437394186410794 0.110513105731317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151790726737077 0.151170139382628 0.0437447482438948 0.110434652598073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15123326924391 0.151551404314785 0.0437044432283092 0.110814294303696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15123689797956 0.151673965578019 0.0437007076929179 0.110973536742173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151323441726108 0.152078853524581 0.0437480216389297 0.111482048067709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150944882038815 0.152528095365761 0.0436444676870145 0.111911605921611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151412922202557 0.153377354851276 0.0438888577996212 0.112825974820576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108404007261948 0.159762687475371 0.0219104567515515 0.112440097004628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108406216850989 0.159882345009618 0.0219288056637293 0.112626310120278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108383412212471 0.159945069667152 0.0219286537920697 0.112690811624197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108396495774115 0.160189679256193 0.0219441020666208 0.112982658992462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108254984542266 0.160920159164522 0.0220018984283214 0.113867405101533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108091016433907 0.161441335923261 0.0220331696203837 0.114422028126452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108497164267266 0.159836583365782 0.0219026215180156 0.112501482681803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108475084815211 0.15993473268085 0.0218850586021751 0.112604120063426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108530188505862 0.159919436974528 0.0218579039808953 0.112530254054559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108536587275888 0.160148288493542 0.0218757432644681 0.112754225873405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108979049411435 0.161057179958086 0.0220020757993686 0.114108385731938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148874082620179 0.123232172146497 0.0434776093769986 0.0721490056062375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149100115644359 0.123079194210206 0.0434849748913376 0.0719890694935757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149111667506061 0.123076130380419 0.0434933917590715 0.0719844397722198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149126111514365 0.123091586431549 0.0435102429682041 0.0719843728854326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149216134067777 0.123153498663212 0.0435688275941074 0.0719780611592403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149314071215835 0.123200729296895 0.0436367642866715 0.0719613705964733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148922507387157 0.123233236500541 0.0434964320421173 0.0721343197664989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148851389989979 0.123165838778231 0.0435023242750668 0.0720226510772782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148926584347051 0.123193098638138 0.0435178828294407 0.0720010304570027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149451757508323 0.12333448576957 0.0436646227601461 0.0719284443491778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15046537928657 0.124091860402626 0.0439231984598101 0.0725008827261736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207770886134844 0.252441991406283 0.0861827235643195 0.281398441974777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207796318567276 0.252455840623921 0.0861829026867071 0.281411498664032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207636744881328 0.252166584078554 0.0861593278513191 0.280874352222537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207702018855539 0.25222903294219 0.0861762121529859 0.280985159424012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208247747878811 0.252422581498554 0.0862853303037619 0.28125582693396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208283719632249 0.252554852122029 0.0862340505119542 0.281333594733434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208029065627849 0.252480087082536 0.0862958074351955 0.281619444822119 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207864173398113 0.252098648991824 0.0863093489317321 0.281033104652061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20793427581632 0.251973091122109 0.0863929456312895 0.280998565334889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208937384021844 0.252244617231022 0.0868446163752668 0.282566655706695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209522039318979 0.252202298322963 0.0872774843763905 0.283414094562786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206499660033633 0.0379693827102933 0.0761000787916676 0.0059097585786419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206478503169801 0.0380085415910126 0.0760855421329791 0.00591640690704894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20645204630983 0.0380037695699663 0.0760646498926109 0.00591064312253435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206474636125954 0.0380958954539833 0.0760753439913696 0.0059373622762875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206530971021598 0.0384223529792974 0.0759734251745348 0.00601800339694234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206520146658992 0.0387901303387577 0.0759374698388069 0.00611156668528278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206493701189603 0.0379423978871373 0.0760914899718812 0.00591389102332829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.2065225187285 0.0379920701800032 0.0761099731737117 0.00594697754691366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206413438106152 0.0379203723539817 0.0760363755881493 0.00595844129008867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206075370191774 0.0379072427301716 0.0758904903702836 0.00604958987929486 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206092345350361 0.0383441125341845 0.0757021801279462 0.00622671261518651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0875299977692829 0.0821475289298673 0.0115538637476323 0.0479886396964145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0874759816402508 0.0822865409912146 0.0115351213560654 0.0482059868970917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0874659655112184 0.0822842251667605 0.0115309523301731 0.048273713393275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0873913503038452 0.0822859128661564 0.0115094750489801 0.0483828835089762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0872398210297876 0.0815801253347579 0.0115097472306211 0.0476149797567735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0870272207032266 0.080872969104536 0.0115075433005832 0.0468699006128952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0877829093882476 0.0815047819928794 0.0116217854978755 0.0470906168666776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0880104393421646 0.0807675865275132 0.0116964662823681 0.0460775100969998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0884196910533302 0.0792961064029844 0.0118380177389252 0.0441208045982243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.090308759260366 0.0738002212077013 0.0125144999660708 0.0370490653659032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0925366009386613 0.0684666713003031 0.0133559532713658 0.0303900614645164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164993216755119 0.21391339747731 0.0490473077224015 0.212141939907713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164936864305895 0.213916331766438 0.0490701873768974 0.212193042509305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164913486767066 0.213899808468947 0.0490892511081931 0.212222172719388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164811013648786 0.213894099986271 0.0491281088339635 0.212290881693252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164464530972562 0.213744550215421 0.0493257506275046 0.212478086196787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164252192153118 0.213839794984108 0.0496013850287741 0.212891801670953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165323570716493 0.21389896680412 0.0490755976585471 0.212178704038613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165642728228754 0.213876093446892 0.0491061842174965 0.212194142751693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.166356956879464 0.213789611208227 0.0492461845390028 0.21229574223598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169718281411473 0.212226381318273 0.0500385323198387 0.210971301094927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172172068999464 0.213442605106599 0.050881791319698 0.214133977597789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.385947310662756 0.0760056807937748 0.305290211676935 0.0260077473504197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.385972053162755 0.075980072043775 0.305319440414551 0.0259916363323942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.386028731912756 0.0759399435641221 0.305404528105979 0.0259654074340802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.386207125606728 0.0758757959287041 0.305339927380491 0.0259219869078426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.386969768955141 0.0756429317734897 0.30612263036439 0.0257731271606033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.387098227055998 0.0751239205573719 0.3065278496409 0.0254209989209509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.385925563162755 0.075795439475733 0.305238495794606 0.025872517789721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.386024795193711 0.0757199073693927 0.305044167391536 0.0258225544567629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.385591812996477 0.0752368162673119 0.304691324419412 0.0255039481821291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.38554641274323 0.0739393886076891 0.305116964951071 0.0245912767287827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.385915275107179 0.0726712330901012 0.304379881851906 0.0235700687353026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193778854465969 0.201492008393421 0.0753979716716145 0.189648336470178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193788590977888 0.201498591831313 0.0753868702237109 0.189614606080892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193793680061954 0.201492097477486 0.0753763284898336 0.189571157195189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1938149067205 0.201459019685767 0.075378943180132 0.189501029724557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.194383018781119 0.20187254467764 0.0755592031108742 0.189992842901024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.194502048058669 0.202083091950808 0.0755759631181016 0.189953058513085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193731087217658 0.201676183732707 0.0754646410690478 0.189981032424093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193982886839609 0.202046089131209 0.0756387161075746 0.190708680425877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.194155961670461 0.202487671083828 0.0758448545586969 0.191444916600747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.195941203537204 0.203560149599344 0.0768186527465675 0.193303553200836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19937469192819 0.206544120008545 0.0777515059398371 0.195657478382588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.2051074561635 0.146205997845901 0.0936821349853509 0.106331886097962 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205174771697481 0.146104790378076 0.0937073672348132 0.106190025925554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205242420279766 0.145979832955326 0.0937319878013352 0.106024743286706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205346584114718 0.145809959869765 0.0937557491311265 0.105759226661094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206039238879578 0.145374641533185 0.0939381928007508 0.104952588142882 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206822340129022 0.14511688649991 0.0942044220740123 0.104379697954292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205227981609112 0.146185831263426 0.0937118107630852 0.106367578386607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205155503397452 0.145977572753672 0.0936735618514066 0.106157866203752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205283807128027 0.145430669849335 0.0936552300222152 0.105625059872873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205450322107584 0.144106402828041 0.0937741451527331 0.10375254865006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205815432026465 0.143714422172987 0.0936995170095294 0.103286838450707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13550984399535 0.14806657693358 0.0354254206488781 0.112692278318098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135513778832443 0.148217429437177 0.035448126000296 0.112871739440207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135540075049687 0.148387708847781 0.0354930284119811 0.113077388410665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135783142893333 0.148817216558182 0.0356594992540175 0.11354403207002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.134844590339578 0.149708055649457 0.0354312606616866 0.115160790729622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.134369767118034 0.151991111433069 0.0353708667240973 0.116925815982391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135565662291089 0.148230059820105 0.0353152550708712 0.112801036142546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135696061691485 0.148177700685543 0.0352618026064463 0.112556566060177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136195551188089 0.147837318551335 0.0352547160141179 0.111568034007921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135903573533888 0.146714689759862 0.0341681473026021 0.107229621089435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136692555142738 0.144581048202651 0.0333177517006477 0.102758941860228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118937488228297 0.145280827296438 0.0248360070900488 0.0996820113953815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118950227887665 0.145317788366997 0.0248342236426721 0.099689947038432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118957491877933 0.145369889340233 0.0248376992519364 0.0997141197890272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118931499177203 0.145419184960671 0.0248342798831768 0.0997037693504589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119225073204235 0.145288291295322 0.0248347608131562 0.0990863079531035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119783352304009 0.145552650578384 0.0250597089126565 0.099206702517031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118756994756712 0.145127415898957 0.024770140676562 0.0994749297603117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118662610795594 0.14500029528503 0.0247018645601384 0.0993240751068257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118596620146609 0.145105050506355 0.0247006843379308 0.0994658276081853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12076898217212 0.148646767874628 0.0242054371874651 0.101814120608828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118847624593677 0.148504776942036 0.0232826545103093 0.10026981157685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135616934407102 0.121953016272993 0.0391285764571995 0.0748678664042027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135581255124986 0.122053509506898 0.0390719003396863 0.0749628758085892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135571617580712 0.12210551047345 0.0390572699651163 0.0750352608395063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135603943436674 0.122180348726107 0.0390370360440744 0.0751508893260263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135686337688877 0.122511884638201 0.0389906633798197 0.0756112466692554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135597723115588 0.122559900822065 0.038930564581028 0.0757745099044998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135590676877854 0.121778414162603 0.0391082807848697 0.0746701808473727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135503149908599 0.121954026588955 0.0390644233603172 0.0748350330002513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135299268196985 0.12183644832134 0.038987689783015 0.0746516506627865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.134646724724564 0.122782346480801 0.0390759831718848 0.0753706633089753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135468946063532 0.122922390967954 0.0394536059048787 0.0754170450386482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189171220174282 0.234696210463627 0.0805336128740444 0.249904693972201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189113110074311 0.234627823534949 0.0804951623836672 0.249762372270616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189057075353469 0.23460057058277 0.0804539447103498 0.249671323437481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188944398956783 0.234560691436833 0.0803867545984011 0.249523173995558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188672783637227 0.234520273704911 0.0801042119484655 0.249034359694969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189033203246747 0.234441402249801 0.0800008297491285 0.249044276050674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189258947109986 0.234837663954996 0.0805932204545893 0.250414723323018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189345786396547 0.235095727691093 0.0806270911901285 0.251005563333641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189627327706417 0.23572696018553 0.0806623720577216 0.252109167970105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191272364878867 0.237100939521247 0.0805457741939071 0.25338367075332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.192729180604317 0.237758491245506 0.0808912547967875 0.254572197413251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196858116689755 0.0485196024875306 0.0763695644612294 0.0109089116497459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1968894606388 0.0486190903856197 0.0763848586759377 0.0109562296190753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196898556180201 0.0486362503612069 0.0763851108450871 0.010959286879621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196985268282112 0.0488727420128515 0.0764324792061143 0.0110682177589715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197439340866299 0.0496298158222105 0.0767309220488478 0.0114184647986092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197863492458656 0.0505818451560807 0.0770069135325858 0.0118441481869389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196709312451598 0.0484150995443408 0.0763169186706244 0.0108523785151564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19690269213486 0.0483796502624063 0.0763497724163215 0.0108293697886774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19703884965479 0.0480845138990768 0.0764828624268696 0.0106847270982695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198787857768957 0.0483264660493506 0.0771739609183001 0.0103917575288585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.199322250325839 0.0483464026892944 0.07713631781104 0.0100136651303053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0976561149472415 0.12160640087226 0.0139663963353395 0.0916313224407581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0975992369542348 0.121725690848393 0.0139608851914234 0.0917761259087204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0975523054969707 0.121819181301854 0.013945815559053 0.0919140460165242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0976105270695586 0.122038878233267 0.013947414608974 0.0921766558912734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0981671634130843 0.122525006567554 0.0139982269575867 0.0925504960085633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0987358761770989 0.122514548333664 0.014040839788635 0.0921571804372209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0975651263966213 0.121606017817367 0.0139363252066057 0.0916348546011438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0975419101280911 0.12157962964114 0.013910289819376 0.091600780438943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0975707586623519 0.121441056882817 0.0138831906511081 0.0913681901209796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100218883922905 0.114658439527042 0.0145680926610543 0.0798311455999205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103682985859449 0.106563673400381 0.0154230901980625 0.0675374112168095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.182849416946704 0.218265192280913 0.0581301845436956 0.219856178407771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.182878793633821 0.218322511889795 0.0581073879206397 0.219917663511367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.182903075706091 0.218366458968748 0.05809866236451 0.220000750985164 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183098403313453 0.218495738731751 0.0581138823905892 0.220153828505218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18387189454421 0.218994063809377 0.0581926715826396 0.220966458362724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18402228455145 0.218861576957278 0.058245162022835 0.221834694764137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18357949937566 0.21819216456186 0.0580465865606391 0.219593139485422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183967573988906 0.218766962355991 0.0581285575325186 0.220215724398542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.184758894993404 0.219014011923049 0.0583226550714198 0.220549802276614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188145018182639 0.219511656758582 0.0595970287866363 0.222189489693663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191970433097718 0.221592443718224 0.0608840243400509 0.226806967282262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.372212569751999 0.0755394087252904 0.324729361470039 0.0260162023480521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.372158210370781 0.0753647936987158 0.324675875185843 0.0258950341429912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.372827015095644 0.0753462725339566 0.324861073873668 0.0258750688517682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.372745295203898 0.0749938406758177 0.324789812159052 0.025625839450589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.37251671063015 0.0739672596914906 0.324601973086654 0.0248875133108642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.373055763850796 0.0729150235185432 0.324839537158058 0.0241049106484723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.372495073486735 0.0758242432362873 0.324669836452902 0.0262140845539682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.3724316468563 0.0761578310793948 0.324618840953461 0.0264395255063245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.372745224535402 0.076923815883828 0.324359970695987 0.0269638284807125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.373889236892926 0.0787613346062687 0.323623975203467 0.0283038908603067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.37951609131066 0.0730309000778157 0.328428239565389 0.0246062491843403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216973076212231 0.218378519221096 0.0985817245928842 0.229045010735627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216925818616458 0.218320766248837 0.0985733280728045 0.228987453968168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216900598008796 0.218254654654704 0.0985827383118278 0.228904463529205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216576055254795 0.217926777094263 0.0985035953327121 0.228369222145309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216392494568779 0.217471754853326 0.0985608318587685 0.227808098734274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216726286150022 0.217540478308433 0.0987886401515354 0.228065368744807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216828834697325 0.218097980712226 0.0986230595569824 0.228720649389317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216912961346401 0.218018188453996 0.0986529189683557 0.228656730249818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.217217625046798 0.217893145000569 0.098736171876502 0.228369805284467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219359002919834 0.217351771880771 0.0994177208787908 0.226202560799728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.222673990328926 0.220618303309985 0.101182659259506 0.231313035580243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237533651253379 0.142957493827697 0.105075394994637 0.10643446381135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237458264372522 0.142959313104805 0.105055290284167 0.10646955811249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.23737331524267 0.142966136937464 0.10503456475476 0.106513915477773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237242889539858 0.142959948182444 0.104982635679769 0.106541843484235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.236889744972055 0.142971028348798 0.104837753940488 0.106630919727306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.236710097724632 0.143080261556168 0.104756699644394 0.106777074750433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237710778428748 0.142641714057146 0.105179571870685 0.10613930486824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237833659059146 0.142345562204836 0.105272449151107 0.105861010016312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237959605511623 0.141849892779607 0.105395937138881 0.105439712131763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.239027704420102 0.141137188883203 0.10662287895593 0.105488663540406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.24018741678105 0.141691767141071 0.107491477684352 0.106424499917096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168266263397814 0.161969870012232 0.0533815781540964 0.132317778835923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168297978231573 0.161926155098 0.0533967062576971 0.132321580934739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168306462886305 0.1619047567994 0.0534041218612579 0.132341261337619 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168326698180423 0.161899744932699 0.0534253323179527 0.132413311458737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168946506906309 0.161809894003449 0.0535107194637502 0.13265038697527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169425948084408 0.161915274730876 0.0535574555961286 0.133139982136376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167869138078121 0.162004970954778 0.0534049350446195 0.132073620865763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167699955324201 0.161893204482698 0.0534428180921766 0.131710361151774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167403265510037 0.161694283766586 0.0536238005973487 0.131109460356375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.16884874544819 0.163554972160971 0.0538314897889865 0.130278594145586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169098185535753 0.164493476215665 0.0544276680221698 0.129864478303154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120742687541128 0.164305953082895 0.0247401509231977 0.123673622242888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120769942993715 0.164410190993951 0.0247371826642963 0.123751910322974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12081530898011 0.164407128408917 0.0247369173158924 0.123721985445206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120843456439783 0.164443821828769 0.0247374598934082 0.123687315323783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120860642827402 0.164358710441433 0.0246992882364935 0.123090911032553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12124203076368 0.164002771562526 0.0247083250234376 0.122077304150597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.121282662265454 0.164100144151182 0.0247784024809352 0.123560432443781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124677117906346 0.163022494593288 0.025183771020258 0.122554492685376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.121648625354375 0.164371824203491 0.0247417856120537 0.124289995724036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126185485273114 0.171197314600624 0.0259758205919339 0.134741293681803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129662812751164 0.175244392857254 0.0270178216381264 0.142866639923592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155310122773047 0.12140745725644 0.0484007926523195 0.0724506696159584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155352826424866 0.121521065335136 0.0483987862715011 0.07253730200277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155416216486978 0.121679093069475 0.0484134641845279 0.0726776927623725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155559512139152 0.121823494445925 0.0484318197342872 0.0727525270023701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156273935473813 0.121393922482218 0.048523115543592 0.0720728624282549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156908100230946 0.121720596326558 0.0486883181767521 0.0721241832504178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155737506309906 0.120654055150901 0.0484960017828504 0.0717013876729789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156111702575813 0.12037588397094 0.0486012099661047 0.0714239364697892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157032983750663 0.119358278021369 0.0488898430717771 0.0704431139626503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.160580745086602 0.117464438390367 0.0499836841161457 0.0682083456330474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.166273400854812 0.118629406799354 0.0524205202931764 0.0694481192422392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208892445862345 0.23365358489181 0.0821390616174279 0.251807961204923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208798588352717 0.233591421862286 0.0821104591133556 0.251730343149622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208762279610154 0.233548320450218 0.0820975325978288 0.251672024738305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208688116697411 0.233465654211451 0.0820726617771922 0.251517882007499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208034544800748 0.233265517906448 0.0820580234796679 0.251003935747731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208180995823843 0.233417107961711 0.0821581937449616 0.251163391254295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20871037188383 0.233528648351913 0.0822792075787858 0.251636405404627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208278676398116 0.233489679160642 0.0825096051966212 0.251596667301767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208220182566112 0.233523073418782 0.0828363975887069 0.251676309415013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209444856925555 0.232944648249744 0.0847811445086123 0.250327233527075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212427640901965 0.232870379045926 0.0865314261374582 0.250485466406898 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210618515105166 0.058484274863823 0.0843860181834971 0.0158670438506462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210574602340526 0.0584436118335451 0.084466765136919 0.0158371302558383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210664051373397 0.0584571060851133 0.0844556890874968 0.015836141166024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210614054979166 0.0583371290118724 0.0844246698164056 0.0157571660912243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210740222636142 0.0578899985535381 0.0845259827603353 0.0154857774326303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210587426005576 0.0572016435518599 0.0844091418537987 0.015093560455682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211090548759012 0.0585748510536351 0.0848088787078287 0.0159159981134209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211490296218077 0.0586018986799146 0.0852778749879009 0.015925373957616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212292770407753 0.0586871195036428 0.0860128476642146 0.0159641222810324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213758654404089 0.0574878923214223 0.0873583453896847 0.0153120552970718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213952906932233 0.054198596786307 0.0875199716492156 0.0129561972095581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0653687466279756 0.0361378476905868 0.00497494859169251 0.007641793612278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0653611954307561 0.0361225050942902 0.00497562913027172 0.00761896814223991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0654355454780464 0.0361376571394217 0.00498086050291164 0.00759538070359498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0654979776706587 0.0360884137906799 0.00497825301230709 0.00754388362579836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0656105612707275 0.0358830641936117 0.00498531777410238 0.00729997632314495 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0657079790628903 0.0357826810487987 0.00498624069448625 0.00706785348960366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0653445621166393 0.0362743787703628 0.00497909430996111 0.00761937814783061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.065363825227107 0.036256426633339 0.0049756946005353 0.00750756472375528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0655040591527435 0.0364127996066794 0.00497295695128617 0.0073583461493037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0629503029781726 0.0569112457497809 0.00434724321040535 0.0323078517381963 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0635477430789536 0.056065455324518 0.00442519844033375 0.0281049427829195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0989257856780018 0.130521573052456 0.0190832195029384 0.078976471945225 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.098780985396292 0.130565125871006 0.0190291194196584 0.0790199108073815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0986191374591271 0.13057281519051 0.018970463635212 0.0790315517358729 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0983819241992577 0.130634798625223 0.0188713713896936 0.0791025473673438 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0972589939915662 0.130892222002372 0.0184760072980923 0.0793910998508614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0963451541596998 0.130986854467035 0.0181426497427137 0.0794516205289837 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0988258758198186 0.130558855287721 0.0190488449853671 0.0789852985033749 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0988918747156585 0.130638445043853 0.0191003702664565 0.0790393509792833 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0989521727530457 0.130632740561615 0.019189263275762 0.0789803191618631 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100447615320425 0.131517304319895 0.0201343747952828 0.0795336465184953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102359956128434 0.132818705469081 0.0213601287709003 0.0807333196023006 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.229041625102541 0.0361160615457334 0.10405066897097 0.00421925536573835 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.229024667997971 0.0360956272390163 0.104026754883569 0.00421044060634138 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.229012023639515 0.0360510525175504 0.104009751688514 0.00420473954781862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.229041228039013 0.0360768850304608 0.104026582641256 0.00421261783115842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231606062210536 0.0378794366657241 0.108033374851631 0.00513945219424637 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231596114703084 0.0377958036039056 0.108003347281925 0.00513515762535927 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.229086005900995 0.0361490602940274 0.104047313020771 0.0042238369404996 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.22918272278665 0.036226380242251 0.10410193093819 0.00423616642134687 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231721890396941 0.0381209318879177 0.108101129778249 0.00516583383706926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231775091686478 0.0382726307876288 0.108117512441945 0.00516220106843845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231769701776256 0.0385929403920914 0.108246372628967 0.00526063924305769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0806423996197547 0.106657508934401 0.0132073913239967 0.0493700314434724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0806856518922126 0.106675526178525 0.0132255884603962 0.0493779294234327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807132783821468 0.10667820827148 0.0132358396733786 0.0493860577886977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807417310176034 0.106674976404998 0.013246459056582 0.0493884587834335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0808999810639015 0.10657648728598 0.0133005617273429 0.0493153958742591 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0810510831840658 0.106469109702888 0.0133675110755878 0.0492969794232242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0806291438749642 0.106632471083181 0.0131730103808906 0.0492819087797947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0805935915059403 0.106612334374029 0.0131507949234653 0.049234608760803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807988113004603 0.106732739714995 0.0131687346849177 0.0492128845763164 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0818816649016655 0.107467947756195 0.0133899693326627 0.0493178400337656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0826127172549483 0.107995241704316 0.0133409898534396 0.0492657716622754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108367269881021 0.069126736910979 0.0207569822779878 0.0224503725269776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108407401910643 0.0692025006866094 0.0207605804302006 0.0224862263450245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108417664341831 0.0692405708337135 0.0207562615522114 0.0225015443558725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108482155775408 0.0693315966642043 0.0207596947533625 0.0225491166963641 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108524873443712 0.0696073083985685 0.020698961059647 0.0226678760521395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108530659565964 0.069977804237728 0.0206634043642894 0.0228202163434312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108362798464389 0.0692781528519855 0.0207724654493239 0.0225361308452508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108292212758652 0.0693618436442709 0.0207673412028645 0.0225725911569723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108165140712004 0.0697548807760212 0.0207711534051038 0.0227834568676865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108503534348516 0.071104527478495 0.0208740455209696 0.023437795321396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.109446016078564 0.0728328549772334 0.0211461651075074 0.0242803511728305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0720055395498784 0.0891533344822901 0.00703862469906726 0.044036444565886 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0719868757728847 0.0892210596288087 0.00703979314282125 0.0441007390238718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0719881602012728 0.0893177315966504 0.00703762351326707 0.0441997716037809 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0719773706230407 0.0892997075693129 0.00703039431814037 0.0441842095190069 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0717603741806092 0.0892643683455757 0.00699179971581544 0.0442147410401045 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0714776212384414 0.0894386823289002 0.00695928022872342 0.0444504320149327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.07212164256862 0.0889966846327238 0.00705743099914041 0.043948636707902 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0722513605615585 0.0888264297508945 0.00707896794026017 0.04382257269054 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0723710925401872 0.088472296055278 0.00710971386132872 0.043576300294406 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0736187264405423 0.0874661366696353 0.00743629727066695 0.0430813848794917 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0751400419452142 0.0874823834639479 0.00787216802512372 0.0436988035575277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0543373875222205 0.0843366409755484 0.00648078619195466 0.0337382450086335 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0542261243529135 0.0842566135855765 0.00645259591252102 0.033660075221492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.054056833918858 0.0842708595641472 0.00640779744086546 0.0336731201075921 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0538646293096562 0.0843721967251318 0.00636545786900739 0.0337371311056865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.05307728741629 0.0845703012635905 0.00616936070992359 0.0337848605245133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0525160022124642 0.0848328887081008 0.00602020756070419 0.0339003209741897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0542382581917613 0.084200974554791 0.006470767901188 0.0336524538285814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0543227551420927 0.0841498072959911 0.00649745798329738 0.0336289006482181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0544674312898939 0.0840077752807264 0.00654669431894832 0.0335502430732924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0549522629253061 0.0831206653025143 0.00676107381770105 0.0328881870019156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0563838547165093 0.0830558367583974 0.00713245275987759 0.0326260350549149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0717793411954114 0.0621417050741305 0.0073850486282332 0.0180486500866811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0717743881551422 0.0621801964906461 0.00738463830944599 0.018053545250598 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0718172937428003 0.0622231876578626 0.00738903781366083 0.0180741986409913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0718347928011115 0.0622337752023019 0.00738794365570669 0.0180740765040079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.071916634660364 0.0623665059737546 0.00737917716482374 0.0180700416207309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0721199825887897 0.0625382726331141 0.00737467376982329 0.0180824564520945 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0720351401723596 0.0622199526631283 0.00742372183549248 0.0180812518180059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0722535920510898 0.0622939247972197 0.00745942537638184 0.0181122674703773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0727408566984393 0.0625433646509259 0.00754431233261893 0.018249699372814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0753131802298043 0.0636475186672965 0.00796602024226419 0.0187919171834677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0782416741954618 0.0645517768210675 0.00848274314893107 0.0190909080934606 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813389507361216 0.122620911768515 0.0128546597078004 0.0652366058092139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813171113208963 0.122619811091688 0.0128490722898454 0.065239475179852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813071120782885 0.122582701242021 0.0128494754861511 0.0652173549818375 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0812981783385211 0.122601692177083 0.0128461624466733 0.0652194628650488 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0811887744158185 0.122565795658703 0.0128332158913719 0.065185586809467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0811460455251906 0.122391341287733 0.0128062748639583 0.0650379520831292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813242773297577 0.122637638350301 0.0128542676609465 0.0652163285604778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813435686006994 0.122685249474107 0.0128598346083217 0.065265991321089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813082235832518 0.122735514251939 0.0128443951221599 0.0652646403969171 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0814000846895863 0.122953153445699 0.0128537289471898 0.0652922089476097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0818499525176334 0.123231774319779 0.0130047290834149 0.0653360310335399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11992425797933 0.0223138950831672 0.0178171329477513 0.00175244784145385 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12000312371287 0.0223126703763391 0.0178328748401736 0.00175181964811465 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120059902343334 0.0222994017951893 0.0178498444891481 0.00175193085661071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120098505370648 0.0223657763043276 0.0178722360046214 0.00175938559204456 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120090431968162 0.0222166635433546 0.0178605175086497 0.00173000710892682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120327842063616 0.0221766479119224 0.0179155991818196 0.0017141834657892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119937213477164 0.0224144807062751 0.0178113960358817 0.00175955802167997 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119953700152201 0.0226256964498783 0.0178339019522021 0.00178911606653121 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119908491420308 0.0226963324100018 0.0177991042693544 0.00178566861333413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119885543254592 0.0235029415660417 0.0177819027316376 0.00187644822448812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119714308716302 0.0244772164058825 0.0176466699967372 0.00196963533964395 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0549251773340123 0.0364625996546061 0.00335257849352569 0.00829114558732399 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0549247019036249 0.036425891577019 0.00335362665634162 0.0082725966348771 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0549245429575938 0.0363973786488226 0.00335111209378496 0.00826546348455181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.054880839519952 0.0362203149295423 0.00335687187119131 0.00822938676569248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0548326369339053 0.0356426599208901 0.00336811989072181 0.00799904064463647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0546416770102507 0.0351225815095792 0.00338907076638913 0.00775484881185732 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0550709977128656 0.0364690080393062 0.00335476229862423 0.00825293617075617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.055065482394288 0.0364074211410303 0.00335802525333986 0.00819083821300252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0551419313330675 0.0360657675842075 0.00336185050921649 0.00794931831214885 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0559536824964839 0.0360968801672183 0.00346294339570045 0.0071271949368443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0568939255617497 0.0362655976081018 0.0035412778134585 0.00643215464192806 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.091819220950132 0.139442481578656 0.0162088526177455 0.0934687539487925 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0917579758562184 0.139477553355567 0.0162002403782792 0.0935350915666105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0916407712187446 0.139431397214887 0.0161610953436447 0.0935330180969459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0916202175890109 0.139371730039955 0.0161467396958315 0.0934452085812725 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0912779469668464 0.139238872397585 0.0160419612541166 0.0933432991632148 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0909755049123138 0.139023811192075 0.015939134455906 0.0931840712010376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0918219274254062 0.139372118839653 0.0162436323358028 0.0933071158659549 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0917850793792367 0.139278905574278 0.0162659051835207 0.0931768935296908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0917272014169069 0.139160939319086 0.0163361615288321 0.0928513653590417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0916902458724694 0.13886468943606 0.0168441903621739 0.0920591922378583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0918409533307043 0.137704991044001 0.017487607253691 0.0899850758036794 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211710993477334 0.0344651567399291 0.0847985137085432 0.00361389006624925 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211727925478823 0.0344588440929815 0.0848134979877575 0.00361644100155368 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211755789606372 0.0344528066187455 0.0848376962265237 0.0036123044523708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211827745771528 0.0344012580895103 0.0848934675993875 0.00360675923737801 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212208768627208 0.0343527397693483 0.0852326162792074 0.00362161683216333 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212707244966873 0.0345681094418582 0.0856122360483841 0.00366731335505149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211751999335546 0.0343371554105025 0.0848066004125835 0.00360782995169004 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211839637578635 0.0342087581596554 0.0848704194107706 0.00359703937695989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211839882421316 0.0339205162688303 0.0848084340021999 0.00358839530753594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212068960585841 0.0329321655147594 0.0848119909730387 0.00358152184913308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211766896950555 0.0322264188111245 0.0844984798915437 0.00367512503138957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799719956583203 0.0976386842642216 0.0107279081990872 0.0422066010634842 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799420199345425 0.0975954793304236 0.0107282698724588 0.0421817934272255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799059986511638 0.0975400174668553 0.0107202434794131 0.0421520953570293 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.079870046762872 0.0975057731616058 0.0107091009638714 0.0421397226380571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799033096757428 0.0973103666018683 0.0106666947126629 0.0420010804603791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0798841010771394 0.0972314565943133 0.0106528183006353 0.041931347696869 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0798990164812072 0.0975525392949262 0.010725265646516 0.0421691340361441 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799402926914027 0.0975684304256281 0.010754542891688 0.0421940300078976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0797519065510266 0.0974325592032575 0.0107206038198419 0.0421308233314522 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0798600942631956 0.0977117948884225 0.0108057108640149 0.04236043800493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0809390590837984 0.0988372100144938 0.011098029676053 0.0429604937021105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980617247524374 0.0747875372010816 0.0171803585868648 0.0254869510545571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980595308601204 0.0746926826700488 0.0171878063316888 0.0254326748843215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980149907155787 0.0746311334705255 0.0171810175572548 0.0253878444514661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980431032450037 0.0745254367902332 0.0172020533683118 0.0253170681381046 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980666777916299 0.0739791217386496 0.0172661339154225 0.0249523776890925 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980059934708932 0.0733924528110965 0.0173221094981055 0.0245802749547566 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0981857581792312 0.0748987698029525 0.0172429346401742 0.0255791595816397 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0982569814371721 0.074931824751951 0.0172832608331946 0.0256097400606434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0985909495963021 0.0751726925030068 0.0173996857861795 0.0258161418118379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0998390112258337 0.0762629043207305 0.0178495338104346 0.0266563037740143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101316205267293 0.0774644202521772 0.0183251985908748 0.0276135834998457 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0621411207436858 0.0792383639426225 0.00504019719380819 0.0362874066450899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0620791071184914 0.0790869996463456 0.0050295604535539 0.0361472942696719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0620196474743052 0.0790835655273904 0.0050207134709247 0.0361435426116094 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0618775144000386 0.0790702434738855 0.00499740206409713 0.0360927258877273 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0612771662146158 0.0786739963691674 0.00490887817260246 0.0357130903397584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0608573828896114 0.0786395858847203 0.00485600578028748 0.0356117289821616 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0621774346244072 0.0788681059941662 0.00504121775345398 0.0359920237609088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0621552727592074 0.0785763857447491 0.00502961107570971 0.0357854587538592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0620110921175233 0.0780970982283298 0.00501360954563119 0.0354048915047182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0618423120030733 0.0758307979042437 0.00501488436517563 0.033530875424381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0617603173764543 0.0739075802380585 0.00507919106631018 0.0317012870583347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0536642672056251 0.072162473897379 0.0069485218013078 0.0246282074678558 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0536999124380758 0.0720780904091775 0.00695232571387605 0.0245849976726323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0536463251873315 0.0719872642269785 0.00693307448015145 0.024535525836295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0536833525057751 0.0719697943177292 0.00693937709541734 0.0245274625390703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0539369160150245 0.0717766223933382 0.00700327430422357 0.0244151999988137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0543217064737937 0.0713813475218057 0.00707301113282841 0.0241876563483742 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0537823719989775 0.0721227607220038 0.00697047871824244 0.0245636989576149 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0539514028441108 0.0721252495076488 0.00701430057207501 0.0245195126816791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0543994457819297 0.0721328297044636 0.00709266862707974 0.0244445617852264 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0561157513110904 0.07199322525135 0.00741988999897338 0.0240400062523268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0579698596534009 0.0719733328253572 0.0077363701461106 0.0237639198974751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.064769017361797 0.0679154275887544 0.00588037742571108 0.0224214232045006 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0647712736522961 0.0678592987997366 0.00588089117151898 0.02237898960006 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.064795783346305 0.0678822428827098 0.00588630265496891 0.0223816582401098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.064757740805734 0.0678420836306975 0.00588684244708904 0.0223448539331871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0647804984960592 0.0677148018277707 0.00589560607330382 0.0221874176347796 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.064840867193637 0.0676863500680972 0.00591857927611787 0.0220984242496379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0648053003791185 0.0678854920707893 0.00588980496607555 0.0224078344681377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0647631226470027 0.0677967512383891 0.00588293886343782 0.0223517166131447 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0648583951232287 0.0677202050504376 0.00590619188654179 0.022310817792795 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0653756955588589 0.0674926664502073 0.00600451587200721 0.0222532910497295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0662271968212952 0.0676245241555972 0.00612627595478242 0.0223261857073994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0735425267894399 0.120027810312099 0.0106443101783888 0.0635583797596285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0735144855451361 0.120024848963996 0.0106416477394833 0.0635581852547023 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0734777809264384 0.120052815728105 0.010638490258972 0.0635854039388233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0734068830769986 0.119986801069952 0.0106271215745969 0.0635267957063386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0732758280942096 0.120091589078123 0.0106078980105375 0.0635810303559751 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0731633874167908 0.120071923938789 0.0105839882289006 0.0635506805094583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0735629732297187 0.119950012071839 0.0106400443628233 0.0634222224092686 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0736057962961272 0.119856442638562 0.0106393505256854 0.0632890118997499 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0737076940135666 0.119832153406781 0.0106399412526057 0.0631575017333442 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0742915507309018 0.119488519572553 0.010609231587479 0.0622543105301296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0750826245494991 0.119423711287761 0.0106144962000536 0.0615929874225676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107787868646322 0.0202915842624101 0.0142010147310248 0.00139243993110247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107810358139217 0.0202864496004557 0.0142022642908678 0.00139013899117093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107818914301935 0.020240202523569 0.01420730960608 0.00138554520262145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108018752186598 0.0202721096761369 0.0142571431299797 0.00140253245646386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108238499082614 0.0198845291818131 0.01423874542409 0.00135237883163703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108392943642614 0.0196568550602764 0.0142344994168089 0.00132256302129268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108084307529526 0.0203098128987094 0.0142721222278558 0.00140119807701711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108273614341586 0.0203680501555676 0.0143185978773223 0.00141792197070494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108711755558105 0.0203222764433016 0.0143823843596361 0.00141702655587508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.111278480413781 0.0214942515363995 0.0150568177257511 0.00164248512343571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11487680077601 0.024650858376995 0.0160576345026849 0.00223499898589737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.054669714889493 0.0315570658901378 0.00337254750474028 0.00423382043428382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0546919510674437 0.0315490969114758 0.00338204646765847 0.00423141567327407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0547451761124744 0.031503200354471 0.00338981117786268 0.00422077716833036 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0548856107319618 0.0314338727645135 0.00340581854528777 0.00421065476588352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.055206836639628 0.0312441165895186 0.00348240784461524 0.00415002274570739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0555145111695395 0.0311562120134586 0.0035613489334567 0.00412088908730383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0548233338502348 0.03139389931556 0.00339683243242503 0.00417766233102118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0550137543274062 0.0311900316038272 0.00342164554438116 0.00411299760755026 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0554457433184816 0.0311265145223848 0.00348759389256342 0.00408262710630469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.057206779795781 0.0305441983797149 0.00378232093502213 0.00374715003729609 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0591469428672676 0.0310309566716712 0.00416777904784839 0.00370413120520695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0914216273162667 0.139627996903802 0.0161568191013585 0.0938566527943101 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0914195011180017 0.139652113219358 0.0161449600913194 0.0938889407395359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0914451725685752 0.13978332334448 0.0161381995424413 0.0940688572213839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0914550493501143 0.139948773787125 0.0161170814126922 0.0942750130743845 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0915102249545001 0.140584436186428 0.0160313771119391 0.0951473097800435 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0914669562679581 0.141322984238063 0.0159326924857145 0.0961885591422331 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0914384336245475 0.139511272666411 0.016121033488039 0.093750546496061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0914633418232539 0.139366249717258 0.0161027430965098 0.0936373939997964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0915766875566416 0.139425895716474 0.0160618046911932 0.0937848388593775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.091871290390471 0.13949404432441 0.0158756067044414 0.0939149080841093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0923081971545385 0.139731309399649 0.01578219206239 0.0940404193476374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211240479660531 0.0336359345761653 0.0844168993161125 0.00344697302509475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211266693088548 0.0336434912071181 0.0844384299424429 0.00344837216985318 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211300146019439 0.0336349643773716 0.0844604191514078 0.0034459312563146 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21126267464878 0.0336500842260426 0.0844274134580405 0.0034515464527841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211419972904186 0.0336490111222932 0.0845698518123232 0.00346411875297475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211515668053027 0.0336318673093577 0.0845860408126539 0.00348624854741975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211304370573523 0.0335768587001911 0.0845041482745153 0.00345125447633684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21126396340072 0.0335497127195465 0.0844625703923825 0.00346655651533934 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211262325303319 0.0334872163773973 0.0844848810604494 0.00347605966358644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21088406093 0.0339917656452775 0.0840949701913329 0.00363778819387073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210339384961843 0.0359120303300045 0.0836394595963505 0.00408518485312589 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807031039416327 0.0985705413738455 0.0109229608453289 0.0430064534032071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807223424323316 0.0986063408278092 0.0109279419343676 0.0430242431421405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807683751134317 0.0986273873274129 0.0109369012467701 0.0430233466269563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807003663145627 0.0985836842192196 0.0108910765051346 0.0429914550481108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0808586760188286 0.0987536410981645 0.0109054306242488 0.0430390941235019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0812873696529377 0.0990160102698791 0.010990337053247 0.0431332837165466 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0808197655535594 0.0987352503873866 0.0109267975578845 0.0430457052544032 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0808999626169721 0.098839016880082 0.0109452796231866 0.0430708575462552 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0810949700173221 0.0990814083421859 0.0109847422682086 0.043114106651137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0822961467234542 0.100388070784774 0.0111406037793979 0.0433979717445903 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0839701609130746 0.102266770863871 0.0114823151007014 0.0440527910921724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0986892853625627 0.0751517880918442 0.0174380517514136 0.0257743247965723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0986254403051193 0.0751283229516866 0.0174145363974435 0.0257641119796961 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0985862404428948 0.0751298637174407 0.0174051160106928 0.0257676865029412 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0985373769649846 0.07511424081401 0.0173859354318924 0.0257574575601786 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0981665966751398 0.0748847751346814 0.0172861919464808 0.0256260541714988 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980033329162948 0.074741348935426 0.0172183623052159 0.0255387100036359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0987878934226525 0.0750490484149421 0.0174478535316617 0.0257249331640051 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0988880780453877 0.0749021011371161 0.0174574085387418 0.025644068508582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.099089747355162 0.0746932692981972 0.0174572732535791 0.0255313041977364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10003072025879 0.0738567466713307 0.0175003680887452 0.0250201299479173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101212211592818 0.0734150133170114 0.0176206536183169 0.0246875698018758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0622400642965169 0.0777415750169021 0.00505008744251469 0.0347091427846793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.062163224500255 0.0777674527254174 0.00504519783314174 0.0347585475038355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0620621416223568 0.07777122643416 0.00503749241968671 0.0347821216545245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0619185205138304 0.0778235461640014 0.00502646409264715 0.0348667178897087 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0613712323347919 0.077889578036669 0.00499303711440506 0.0350638785621547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0607166391754918 0.0780652844421481 0.00494485134784472 0.0353348244266983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0624180824572584 0.0775241295146752 0.00508527305049439 0.0345561811302797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0625743343548763 0.0772653094346707 0.00510723066343075 0.0343669971411832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.062917716256957 0.0767782303847055 0.00517210283590234 0.0339992257266178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.064159084442075 0.0752621987616598 0.00545008277752848 0.0326582458361985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0659481760858209 0.0749978475563242 0.00586163780413766 0.0321777777129709 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0530835038379628 0.0726877543737277 0.00688609811408232 0.0249038197817547 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0529850742337187 0.07274131231037 0.00685903197153212 0.024932475227353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0529937648625691 0.0727747141435985 0.00685408217265202 0.0249525261460449 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0529405436309788 0.0728020732783538 0.00682313736993104 0.0249669122515323 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0528344394121535 0.0731551550809257 0.0067443657215327 0.025191860510218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0525343274743407 0.0735197947466938 0.00663580729194727 0.0254424964761039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0531619045336505 0.0727425952396606 0.00687689221332653 0.0249144180663376 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.053346359886153 0.0729309582966981 0.00690258779167997 0.0250001603206575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0536378165626329 0.0731513456929145 0.00691620352616299 0.0250502795165248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0551275810042301 0.0740025380984694 0.0071121059482779 0.0253830244527469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0566441809474134 0.0750780271881959 0.00731822677262815 0.0259003378833131 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0653245476929833 0.0679912465337023 0.00599877341391301 0.0224352784033605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0652904733244855 0.0679605100141798 0.00599330955961652 0.0224116384720469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0652702419234742 0.067984048158651 0.00599040870500107 0.0224162926448081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0651830389499644 0.0680425021494467 0.00597885086033866 0.0224442982875792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0650586196436423 0.0683024810182691 0.00598579166925243 0.0225357990414156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0649811491854229 0.0685729302163708 0.00598946363351023 0.022628103435025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0652085895682899 0.0678238307822994 0.00599067403231871 0.022333050397989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0651652987543336 0.0677282132453107 0.00599818549018766 0.0222725682801938 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0651470286046044 0.0676017972565081 0.00600594862185005 0.0221759334123187 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0651089365379522 0.0674112447281358 0.00606936540096642 0.0219355525937159 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0650756886277224 0.0681381867052524 0.0061598939309597 0.0221137164955704 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0743108079601347 0.121306582366031 0.0108625825608042 0.0649478927308098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0743153629024382 0.121226600546266 0.0108684093709198 0.0648870449401627 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0743523446440267 0.121167814049865 0.0108830580036272 0.0648387602612831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0744102582013483 0.121068045724537 0.0109073754357621 0.0647569855472262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0745841309702989 0.12074595966981 0.011005791479916 0.064531933518349 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0747844735628453 0.120315830247667 0.0110836234369609 0.0642291701226662 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0744215262895064 0.121452215956645 0.010875437347243 0.0650981903622695 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0746394235531397 0.12165294208153 0.0109152981554607 0.0652881463638336 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0748501088155792 0.121861738363475 0.0109445296584724 0.065540079483949 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0763701350841872 0.123158276762365 0.0112203403723377 0.0669136513468423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0783779139648419 0.124657200902075 0.0115684909313946 0.0683474205154475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107849107447934 0.0200528555745745 0.014209671894408 0.00136587875949957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107830824971029 0.0200847724594002 0.0142197484106484 0.0013658968251701 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107879370403536 0.0200500006776656 0.0142373254987027 0.00136135966518799 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107925964200861 0.0199873342221021 0.0142635764117605 0.0013575388561815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10793718424734 0.0197573006742725 0.0143544239689533 0.00133242561414774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10814956711066 0.0196601501431821 0.0145157446261597 0.00133402637020967 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107820900277886 0.0202251888285676 0.014231052772275 0.00140087846255713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107741829337636 0.020181679967005 0.0142259195581254 0.00140214690005145 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107695931579037 0.0204227464837222 0.0142929704093744 0.00145449500178545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107379949827533 0.0213886350623062 0.0143809697801228 0.0016338831972411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107758579507155 0.0236281868098528 0.0146732679179121 0.00203868350278597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0453348166424299 0.0388106754500023 0.0041813320661479 0.0174595566890411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0449432699594114 0.0389095567186916 0.00409775387043004 0.0174979920117511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0445792228295787 0.0390013271814175 0.00401530807654251 0.0175355464581017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.043556489898632 0.0391850102913815 0.00381071428077597 0.0175512771525812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0392197019771653 0.0409108773779958 0.00308604306584188 0.0179451545205118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0343916807921229 0.0423662887479051 0.00246995602265453 0.018098408679577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0446648896642692 0.0392597464043464 0.00411203495629061 0.0176801503906125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0442209987240564 0.0396525900250936 0.00408077129631353 0.0176667494553814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0437241789302155 0.0402516008598455 0.00407651478619679 0.0176234671426472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0406784553435785 0.0415201108230703 0.0036844126746083 0.0169610283607807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0414878212179465 0.0435879663100725 0.00350687424966639 0.0169343030562374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177943902877854 0.201948301437697 0.0558227345182573 0.190038496740798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177965445246816 0.202189165133945 0.0558477130662466 0.190531871916283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177928264890497 0.202298393551998 0.0558141840115675 0.190806587013974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177809532486374 0.202728895907371 0.0555947552808252 0.191665317535033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.176608526392382 0.201351191823116 0.0544286770450467 0.189310941686635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.17495083499373 0.197226279503533 0.0535710639655511 0.182193616839418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178584439352781 0.203891003658197 0.0563884974089749 0.194249380828362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179073342610395 0.205476179346956 0.0568101799412247 0.197747584580177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.180423511299606 0.206953151392027 0.0582561342615455 0.202511786185322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.175063530648041 0.207918847129504 0.062170649687919 0.21240392214596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.166089755112995 0.208763086607136 0.0571525638797145 0.218995132977305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231087374753685 0.0706404780016256 0.108186141770699 0.023938227753388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231367059734424 0.0706755515038902 0.108437105774766 0.0239644345114341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231613850943412 0.0707989152275057 0.108629712198579 0.024054135450374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.232054215998989 0.0711118209935474 0.109014425796794 0.0242724034024863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.233158069098185 0.0719045888900829 0.109863889716795 0.0247243460041656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.234291745505888 0.073361015000539 0.110687829718362 0.0255441502758381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231613355351566 0.0699614205916882 0.108605468821881 0.0236829565508448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231861904145071 0.0692943668754522 0.108701012880793 0.023429264347849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.23226342639673 0.0686647133683149 0.108763114046963 0.0231901662170982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.232056432661722 0.0711165298334106 0.10801129189376 0.0230927022247268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.233882589781915 0.0800186325788578 0.109045838098606 0.0271378413567815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10270389126633 0.118604379669102 0.0114482761702012 0.0619451987809163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102212381082645 0.118577518034719 0.0113625435491186 0.0618840571835862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101942710694533 0.118473302023273 0.011317386045674 0.0617611326367605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101110760008671 0.118527327683795 0.0112117183217998 0.0616984963942689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.097669463448438 0.11850797104677 0.0108674486756246 0.0612958460490945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0940094483463968 0.118719919399128 0.01065053359037 0.0611889872200516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102632505425582 0.118659938337399 0.0114672241555019 0.0618892632170059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102429979343568 0.118759807989915 0.011468025437998 0.0618662483333689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10120037129693 0.118794380518258 0.0114489628340887 0.0618606112059071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0943069566273095 0.117999732343253 0.0120402385458739 0.0617397858877797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.094331130886886 0.120784435066865 0.013251981818699 0.0638890213779879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155810666333245 0.133403509416031 0.0349636017351767 0.0772835487998601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156584391315638 0.134423380924266 0.0349742745218172 0.0785572672823676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156870568878345 0.135377445867029 0.0349841829730366 0.079817158271226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156791599901313 0.136762053323503 0.0348712821208437 0.0817344562636946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155560155050085 0.1385697646227 0.0344503062235581 0.0847207344846166 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153548342178775 0.137787360775791 0.0340076221442221 0.0842704009432372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155913052689457 0.13429409187454 0.0350436698459661 0.0783780602988644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155587289737317 0.132672691668376 0.0349560750218953 0.076331499633847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15438836645783 0.128766504783383 0.034873891065232 0.0714754113232337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151504409464224 0.119300995600318 0.0337216764707586 0.0604261817803774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.145560186015887 0.114315234911683 0.0297777481756209 0.0550515376388248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105904797923391 0.109398001802937 0.0116933193816423 0.0688674661520422 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105897268897742 0.10915965062103 0.011677589433561 0.0686004439335377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105873570802297 0.108877644922648 0.0116535654563799 0.0682574594439835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105769000677251 0.108374762621188 0.0116654417695848 0.0676284499361489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105839057810038 0.104646512719495 0.0119634055197151 0.0634804523829793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107420519073535 0.102495263467241 0.0126377610388655 0.0600893225984177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106454268174076 0.108927655313572 0.0118449795662488 0.0679905264255211 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107187163283393 0.108607117565407 0.0120560599519442 0.0673358395884723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106479866880688 0.107960725040375 0.0120731089219012 0.0661504380003091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.114005207216218 0.104597998083292 0.0142745493931936 0.0609483602601209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120734816408756 0.102489703463102 0.0162120359790725 0.0571189062640434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104722086222026 0.0965491740315588 0.0186443253221538 0.0475336170996302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104612797765458 0.0962845631289256 0.0187058356579033 0.0473959972252137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10457233400927 0.0962130633301495 0.018768993738551 0.0473731308922257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104438304968083 0.0962211793449588 0.018901068397818 0.0473748672909555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104887763618874 0.0960033157776526 0.0194433345883 0.0474010098061245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105658083065005 0.0964750687993047 0.0199429021361427 0.0480991686009653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101294015906746 0.0959151750709366 0.0178665545681702 0.0472396673106785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101152305224894 0.095971390534405 0.0179384456687931 0.0472274935147099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10195718158416 0.095178569023066 0.0181599543635939 0.0465355822300381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104064694954926 0.0934659706181558 0.0190053520589965 0.0457454889351582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.099832508937635 0.0929753551752672 0.0172451139953027 0.04550820005471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125241647366938 0.110108249548114 0.0182449763569586 0.0596197505565036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124274582469417 0.110107048863961 0.018186532226454 0.0595445599731709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.122237448205194 0.110388187932569 0.018273379624262 0.0596826973509761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.121000205341518 0.110483021109899 0.0183216981510769 0.0596087585895067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11923968821428 0.10729708092281 0.0180548889714231 0.055605187154157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117511171975151 0.104027381768289 0.0175022894297888 0.0519052140265893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126732410627394 0.110979309073996 0.0187653915211348 0.0604258495374568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.128354179607942 0.111487913660308 0.0193162355217732 0.0607679469729249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129867448181051 0.112287048638862 0.0199113415578912 0.0615588577983525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.140550241478779 0.115765145294057 0.0238588137259006 0.0650261254185737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146940127110154 0.118877880543928 0.0267802417984123 0.0675211438307704 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117964084208893 0.144241821687416 0.0142406803223544 0.0894362130749426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117908784447622 0.144090482094723 0.014229592045076 0.0892309593239355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117734446641979 0.143775216722534 0.0142251529909675 0.0888696008893713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11748266615312 0.143018253143142 0.0142548807176324 0.0879762313070777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117161699774952 0.14034408780785 0.014673031053851 0.0850693754456586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11571914117551 0.13831060965812 0.0140326914841228 0.0828679913613931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117694406489065 0.142236179272432 0.0140260910720967 0.0870891561573767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117591774668638 0.139082265894846 0.0140267267410094 0.0835696566487005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118018025995017 0.136839356986449 0.0140403720292369 0.081416161507886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11977735956535 0.128421096694223 0.0142766995233603 0.0728038150405932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.120844920042831 0.128228593091287 0.0145928712926576 0.0717037438668128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.131183714710109 0.0570996075163201 0.0217353541127015 0.0162857613188327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130726084371867 0.0569184976674 0.0217038215024625 0.0161873732860112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130097300237706 0.0564200422337572 0.0215913815558771 0.0158773652194279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129055738052779 0.0560713611026694 0.0214786940890256 0.0157120309380325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126001277001 0.0542657621493186 0.0211523172736608 0.0147659123410364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12643932949672 0.0528518336898869 0.0216692232208641 0.0140556598028008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130654582973389 0.0559522039560891 0.021677126039126 0.015679162557249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130737768688025 0.0549196882983743 0.0217907611832827 0.0151570485229455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13183193884559 0.0529066357353394 0.0222890350534615 0.0142541988935609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136715829112838 0.0431379353682381 0.0249194379142831 0.00860520902527226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146290650212075 0.0452276898911076 0.0279248615403417 0.00847097462425957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0381316029552581 0.0617320475573442 0.00278896554329382 0.0129049208987665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0382400981622635 0.0617336474964517 0.00282579493970418 0.0128788860727892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0385455365589006 0.0622309782258578 0.00286951422926763 0.0128886601033865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0388578487213676 0.0627202316018609 0.00293526760938095 0.0129097361606669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.039640309692229 0.0622506824533357 0.00319701194737204 0.0129169534255308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.041355102998171 0.0658603227292827 0.00357120950213941 0.0134506574325917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0383857811231486 0.0624827488003632 0.00281426168650055 0.0129160534968775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0383644387952152 0.0623384161483429 0.00280872810110409 0.0128065514626419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0380457379152868 0.0631058467408645 0.00277287710504921 0.0128099752769417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0392070604878577 0.0671481243515756 0.00292449464976971 0.0127978062786032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0400634006419365 0.0732904698562213 0.00324903749060894 0.0139818939117953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0420730199850404 0.0422408058908023 0.00324054054984875 0.00962309740251756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0419885399322282 0.0426631708556457 0.00324133056772532 0.00980310625807608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0419021860449978 0.0429192287853139 0.00322451445891417 0.00994993586642274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0420670873783135 0.0433952715857945 0.00322671277775306 0.0101897948836029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0438506837106307 0.0457887325564192 0.0033972431015417 0.0112282091618709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0431920823834257 0.0478673673435856 0.00323171782357492 0.0128988742374251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0431520306860499 0.0424223166571688 0.00333304603156018 0.00959157312246883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0445127982981829 0.0428939522620308 0.0034833665162444 0.00975713348536807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0473998871780337 0.0460024093672022 0.00384958421221596 0.0112419572633525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0629304709648433 0.0482700812974252 0.00665639016635497 0.0117954250076863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0763345888546818 0.0525686146613376 0.0101141128765464 0.0128862715121526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0304299007339067 0.0551274228248995 0.0066650974489595 0.0303381182599709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0305016414911275 0.0549884878167036 0.00670353145493654 0.0303205332208902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0305612850102409 0.055004368496206 0.00673826309535983 0.0303400251501836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0307794486471486 0.054925166117359 0.0068061075699245 0.0302793973780765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0320289169651374 0.0553254570342293 0.00716435164508131 0.0302575681496262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0280454705670779 0.0355553316368488 0.00520906209265511 0.00880542419773873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0298451070881183 0.0556348602056787 0.00642833106395017 0.0303509404527403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0292666216874127 0.0562365118066016 0.00619193332442409 0.0302510564619889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.022661642918472 0.0372186808479606 0.00337685803262403 0.0085884005930213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0213932786815664 0.0433448289211546 0.00231399096268981 0.009374340353707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0239675783787742 0.0543189883954047 0.00229155150408668 0.0111560213700493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0892286607476767 0.0874212631338677 0.0180817248962529 0.0405941948551766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0892677787796664 0.0873278276735528 0.0180516350660942 0.0405058237063091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0891380590941486 0.0873296019605793 0.0179604594063875 0.0405145037296262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.088883245685555 0.0872936136988193 0.0179346813272099 0.0404191411610593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0885330708742286 0.0873883071150525 0.0179982388915263 0.0404495749038204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0883248535454336 0.0876685411318991 0.0180654056895392 0.040608644336475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0892995275203066 0.0871679871612204 0.0180265208058302 0.0402116343115536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0894521771294636 0.0867213430608575 0.0180667792968832 0.0396838107229496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0898515299052998 0.0852136878945518 0.0180625886384525 0.0382206860245395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0907975590487744 0.0812066199004275 0.0181774878673165 0.0340052786904785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0909050754493134 0.0783172442041135 0.0178916670854345 0.0312193681237716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0581116248842578 0.0604042978565468 0.00882979454075577 0.020377016189857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0581041760103132 0.0606244165441714 0.00883342597504414 0.0205360226264192 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0582000261582491 0.061170785715558 0.00882994577897311 0.0208220914349003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.058223651438589 0.0616414552156855 0.00880614691006117 0.0210958188675225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0579715090982935 0.063438093587464 0.00867949268855862 0.0219621674986217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0582140290089861 0.0644867182696754 0.00868262839495396 0.0225744389595622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.057877652079031 0.0608180527537952 0.00871836907755475 0.0205153023296682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0574474842013395 0.0609554216537396 0.00861860998360703 0.0204944994921427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0582143338016537 0.0614281990072232 0.00874165997069155 0.0206111179320501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0639936131751242 0.0696539522579222 0.00984887034063412 0.0257516230691794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0706482630207776 0.0724063580021633 0.011517210642347 0.0262082975217552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0547220379782251 0.0493868481244208 0.00939886801460667 0.0157099916673584 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.054648131921489 0.0492969227165253 0.00940045784987015 0.0156121719624241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0546437244094793 0.049212333501348 0.00937999380892859 0.0155514655244208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0546419134277485 0.0490390541664563 0.00940797579363627 0.0154344289210853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0547561341738253 0.048827365120233 0.00951747334676185 0.0152605951721203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0561829402150339 0.0486572608773059 0.00978858575194955 0.0149985396117004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0551298254227922 0.0495031868579842 0.00955136002483013 0.0157335552947438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0554922946873025 0.0496630523222556 0.00966078268033431 0.0158316280122374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0558395764543578 0.0499572943188389 0.00973745562164718 0.0160062066477012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0596263979367438 0.0526810451311275 0.0106085952564585 0.017333783409493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0638672771817275 0.0586241110915057 0.0115661772416007 0.019889549454963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0418825865330971 0.0525829786139414 0.00421553124930533 0.0173604048130156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0417297301715443 0.0525911604982016 0.00417905208187593 0.01738114237189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0417700125953021 0.0525200627968345 0.00418179686276363 0.0173602470064425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0417225798211196 0.0522453897841357 0.00414529245112777 0.0172291144230476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0413424816760876 0.0512703469113154 0.00398182132711137 0.0167026835684443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0413140456363418 0.0501641430866022 0.00389474986583916 0.0161349774171386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0420273126429886 0.0522261539454812 0.00430952824927344 0.0171723596191921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0417815935618701 0.0517906534591895 0.00433019109427115 0.0169576103118437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0417458735118937 0.0510629300126855 0.00444630993603168 0.016618602912213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0419839725133187 0.0504185453169491 0.00498189305741329 0.0160592022900641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0431531749641715 0.0505832822081038 0.00594955002602661 0.0163117815696072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0718006475575849 0.0617364494550216 0.0083034657564014 0.0218537195561998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0717149505030534 0.0616766592392406 0.00831814567827467 0.0218187141502554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0717662734040068 0.0615323080141097 0.00830395533915903 0.0217228949872433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0720877079822828 0.061279016512808 0.00838899715559141 0.0215418025578956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0725964364859421 0.0605548223399028 0.00848647314523249 0.0210522657738984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.073903911261999 0.0594970505106708 0.00866017625436407 0.0204084250593949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.071158587654131 0.0616876349437468 0.00812880717515247 0.0217848576672424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0706499407575371 0.0616321421987326 0.00800455417504251 0.0217046310802577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.069259530574708 0.061733396851751 0.00784413551948532 0.0215827603926836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0698342840245223 0.0614501106552344 0.00835357631411787 0.0207827976407106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0745233819504934 0.0623246406769606 0.0101381214292063 0.0211128798725213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0881310007121843 0.085450705353387 0.0135650386710653 0.0375692036017175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0881301464246759 0.0855435724629146 0.0135824636721942 0.0376585204640088 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0882449553155284 0.0855940265468951 0.0136023525404388 0.0377406078864817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0884069677345703 0.0859622621518055 0.0136299404971253 0.0380530812742965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0892808074252726 0.087059895282918 0.0139600880840074 0.0390588552178748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0902399619433584 0.0880521391334867 0.014267689413321 0.0400045684677534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0875447696579736 0.0860899896668094 0.0133775342508187 0.038191405181997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0874782710257993 0.0863037080049377 0.0133115230943375 0.0385086466398622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0863289018945466 0.0874551598709369 0.0131185595780002 0.0396476583721008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0826424888207041 0.0920725585866325 0.0120832987944981 0.0443598057049202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0800012879638549 0.0979608283834668 0.0115405022061796 0.0509252908401767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.110054414671181 0.0135502356063417 0.0122893558408297 0.000995336550848154 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.110050056593185 0.0135200377814345 0.0122682787411206 0.000992123390417426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.109935749405061 0.0134963953116595 0.0121945849621047 0.000988733460797873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.109572349112007 0.0136264950052824 0.0121062647059541 0.000994422358463102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108462289343492 0.0139114917703667 0.0117928271259754 0.00102344541100673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107520230076841 0.0148540583420963 0.0114905381375819 0.00107711313179529 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.110424750653508 0.0137641390514021 0.0123683951526131 0.00100684408775692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.110790055513917 0.0143625859806967 0.0124720140194401 0.00104193366786407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.111746332676954 0.0151075349953246 0.0127467130990926 0.00109133448597481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116005063623101 0.018771062773005 0.0140782899249828 0.00149903884016254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118528876014014 0.0223938659492778 0.0153490079293596 0.00192164347584404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0347813613734972 0.0667683008786314 0.00250418218526413 0.018592795769491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0347415468369176 0.0667990117585567 0.00249880317889049 0.0185985243889608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0346868919699498 0.0667010653954334 0.00248284102807562 0.0185061551413739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0345354684331 0.066768385727397 0.00244179461074895 0.0183997474914967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0343893503076585 0.0681451538523653 0.00235895089501724 0.0183208567617017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0335463863817555 0.0688427479768624 0.00229079774581727 0.0182670514456324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0344251325704855 0.0662065401045466 0.00243035037060666 0.0181433008745912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0338391688610687 0.0667534435514441 0.0023698197862838 0.0179774669885309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0329088491658863 0.0660162072932316 0.00222002171985108 0.0172714294462532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0262614997766422 0.0589462982200934 0.00147414606671215 0.0144694940763943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0213852508077998 0.0596420074163459 0.00116110561055962 0.0129941091585906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0396092273399505 0.0427138400286578 0.00318650203401409 0.00994158189246128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0394303450280227 0.042959581535123 0.0031782437993486 0.0100414048912231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0392535410104199 0.0431304961348953 0.00316701854869776 0.0101282475914616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0388432690191522 0.0435168338261633 0.00315348079430816 0.0102815101876651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0386102292560836 0.045280473577133 0.00320600300162325 0.0110743102767244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0394242801176038 0.0476072526421041 0.00348047261535741 0.0121958801890879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0388147944377877 0.0430764191708392 0.00309909785661024 0.0100744901442751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0378524616390047 0.04383658593504 0.00304027378115263 0.0103770797377389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0364701564462174 0.0459700851590143 0.00296287317813115 0.0113525491922492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0366049076624701 0.0555446888046538 0.00310624031050061 0.0157302726235663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0421530861047236 0.0599034590220826 0.00394323181938955 0.0182770200656356 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0225037254571278 0.0373182435973333 0.00332095471734893 0.00844876329139579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0223190277914655 0.0374373910028264 0.00327907113247504 0.00846113462355621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0222281814192415 0.037628463342285 0.00324827732752777 0.00848119220096823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0221792079214797 0.0378520101342986 0.00320863298584796 0.00850700720848324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0220080143419333 0.0396512300613548 0.00302792108052124 0.00872043000923805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0219450471296887 0.0406508065994933 0.00287265637720944 0.00898850689549999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0222104694931536 0.0380196072394158 0.00325793933525583 0.00840585139357824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0221868907328338 0.0384827656356516 0.00321295314184047 0.00836436532208332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0226346845208631 0.0398912235615022 0.00315060144340255 0.00845330925384451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0262687633675498 0.0500740464983818 0.00318048801438765 0.0094630768623143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0315165349964692 0.0633948238237314 0.00365392520098429 0.0117405392846484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102793090804949 0.0828268233846443 0.0256782274003227 0.0374539655754763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102740767721031 0.0828934280051191 0.0257046880600536 0.0374644466320842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102907356829447 0.0826390363664212 0.0256258637423963 0.0372307075075793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102781144752445 0.0827192729811721 0.0256197578104732 0.0371973947036885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103774961453045 0.0819282554386467 0.0258099241685998 0.0362750106299386 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104691546280011 0.0811755540977397 0.0258866144684961 0.0352803291114893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102420443697166 0.0826761876896436 0.0253834595207885 0.037411403882128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10192966636272 0.0825625161386245 0.0251815058425681 0.0373528966612334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101365543960444 0.0830045251890858 0.0247692884041502 0.0377712870412743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.098386987951603 0.0868608738949554 0.0230688217840292 0.041845264705506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0971341026622074 0.091770854322494 0.0220703508308831 0.0471607829172465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0563578565647038 0.0648765242869741 0.00877834019883991 0.0223709178806002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0563874834532723 0.0649505672032788 0.00873960125235485 0.0223946248094978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0562763266560721 0.0649551533042986 0.00865422124208421 0.0223423598973258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0558263094515924 0.0647325143104294 0.00850090602048762 0.0221828345138965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0547235775370834 0.0650265831805398 0.00810486315380134 0.0220828676643019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.054210197439899 0.0657374942410805 0.00773634976245578 0.0223176653471068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0561379233279164 0.0647602398190493 0.00869863131072638 0.0222083532841613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0558418811385162 0.0643637507079101 0.00861257913613945 0.0219249551793696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0558041588640747 0.0643622669860004 0.00844720858226647 0.0219477544830396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0540010218092166 0.0634375928917895 0.00764467865370251 0.0206277811029552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0574299570191744 0.0656804039678312 0.00800900402458494 0.0215467697825139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0560938462819345 0.0603833597170037 0.0119132900184893 0.028681777324743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0559325823359285 0.0603906502927635 0.0118723421370061 0.0286897934288417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0557794420521421 0.0603840694940375 0.0118286564412538 0.0286650028919879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0557047248089908 0.0602665885361863 0.0117496865360022 0.0286067665141215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0553928469097068 0.06023963924213 0.011550539664158 0.028500079217937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0555334878625156 0.0602436729650833 0.0114444092149856 0.0283295937074929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0562082800823006 0.059896675997667 0.0119555354841126 0.028400184395552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0565114543198308 0.0595440681825161 0.0119620308591696 0.0281747739389839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0568422605530446 0.0591312396595536 0.0119794270835882 0.0279035566297076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.058618673212987 0.0626520057602042 0.0122930648774018 0.0280718466787889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0624683394033186 0.0718386813983004 0.0129874105680817 0.0307046560834029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0462834405610978 0.0479540548150124 0.0046406124984628 0.0149808628539715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0464358660817967 0.0479834481928048 0.00463788645617608 0.0150332102379315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0463559464141224 0.0480901953016504 0.00460692437581328 0.0150832744851742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0461823875048753 0.0481999358404261 0.00456550118205951 0.0151211216112715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.045232502345892 0.0487602808434336 0.00429524757455937 0.0154315639270312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0443479597069951 0.0493154595652629 0.00406986388123286 0.0156262608926397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0466156157149482 0.0480651581487384 0.0046098813713227 0.0151272686811813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0469908935721065 0.0482900611954008 0.00466123411037993 0.0153101062569886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0476815702534232 0.0487599050703195 0.00471827156509169 0.0155865896745669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0509910178598798 0.0499493238417666 0.00490369458464967 0.016307819323418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0543794820140303 0.052802290612996 0.00536487412598848 0.0173868823787982 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0708732933454909 0.0671002102760576 0.00839956190099022 0.0263969899973029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0708047104846341 0.0669970554478562 0.00838858926961003 0.0263204515095056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0708224920296293 0.0670107136384932 0.00838218200983224 0.0263017857505509 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0708679928911494 0.0668016390992992 0.00835745714983517 0.0260949224547931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0706856181319821 0.0666120547200468 0.00840005376792752 0.0258094110710569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0708510219894705 0.0666204041529724 0.00858402862647641 0.0256673146292021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0715210512628725 0.0673741719549754 0.00852161504961936 0.0265505378697258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.072425011767169 0.0676372217573904 0.00875005453662349 0.026670425359595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0739814591025649 0.0684383841418203 0.00918924733538291 0.0270913819291677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0804942361179631 0.0720067913609419 0.0113515132218157 0.0291790515827689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0881856183524489 0.0754208604230608 0.0146201602643727 0.0311305384750404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0844448013189388 0.100876873884174 0.0133437347202441 0.0531948176085894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0846419188281004 0.101024311561672 0.013365030500725 0.0534115029325377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0847845122077877 0.100953875580974 0.0133732408192416 0.0533774704146024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0846921231788151 0.10101797292316 0.0133575294194786 0.0534746955613887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0849172962470463 0.101849163062903 0.0134268817990704 0.0543928318517777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0850302499480444 0.102051123785401 0.0133986937011292 0.0547452466428046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0847877890565353 0.101035794076155 0.0134309196576622 0.0533532176512951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0850866208353139 0.100354188336434 0.01341644230851 0.0526093340395172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.086210202047347 0.100165693425304 0.0136471867611976 0.0524266699923078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0898119463773274 0.100681093160771 0.0147271027798067 0.0527064464249303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0935234372004554 0.100048430836881 0.0153822153236103 0.0519711084532586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100501042901033 0.0145129729785103 0.0136061761931919 0.000960436484560698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100392453301382 0.0141740436328066 0.0135524619761573 0.000940661313753761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100392566379692 0.0142976659742442 0.0135760767364344 0.000950380934329981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100476010228513 0.0142697121168781 0.013538326068061 0.000955271304461377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100546410840157 0.0141178745215385 0.013446133845802 0.000970731886442968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100218975685635 0.0143373830030812 0.0133105131044932 0.00102016793556944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100805738812576 0.0144341478057041 0.0136431801980664 0.000934553860530015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101077108082894 0.0147534453890954 0.0136979347498883 0.000952752581167291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101810961854302 0.0148058004272412 0.013891848112566 0.000943206586375721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10353296341937 0.0207470078042081 0.014321310636077 0.00157104794391361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106872394090943 0.0300024822198679 0.016270280432024 0.00308329604346794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0347252294069775 0.0634971780140042 0.00237761426328464 0.0140819564000393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0348112131813256 0.0632890336839703 0.00239640335764913 0.0140375401418032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0349007939243455 0.0631124225593905 0.00243157691986562 0.0139737346172525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0351749564551894 0.0628642951454478 0.00248674545846873 0.0138957955445908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0359592555494337 0.0613901781874445 0.00275093592047094 0.013562117906793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0372007818448303 0.0604249525552572 0.00308144785498356 0.0132003605898281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0347414862710369 0.0637661489572592 0.00237922125787624 0.0140386912595327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0347082618992436 0.0646057728490461 0.00238413546833156 0.0140889492012257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0348518381939017 0.0661882687624843 0.0024260431149749 0.0141974700397346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0369332525939249 0.0730905435059873 0.00295843297620362 0.0159823374750135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0423892639509354 0.0839681843020079 0.00406630631136453 0.0197285454785995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0393838870028386 0.0417553925493363 0.00316915451204752 0.00938807389117712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0392478156717945 0.0416553365531397 0.00313782969274048 0.0093659555871604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.039047510850051 0.0415522030926115 0.00310742250980672 0.00935222957566983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0383140740828441 0.0414995916175576 0.0030484019408487 0.0093769538274831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0368473836013245 0.0414360001736852 0.00284558065941112 0.00937881414896807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.03782930791737 0.0409055501356235 0.00295067760844791 0.00913240379051945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.038252031267339 0.0414282509475842 0.00300401762804821 0.00926948928732317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0370391153214221 0.0410080014763613 0.00284953613547872 0.00913246545342382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0356123238817234 0.0410886719942368 0.0026607463917591 0.00907539842324247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0320603342126187 0.0460741704199457 0.00233314101551174 0.0105780675393336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0344632244386371 0.0541371595934271 0.00333056558782522 0.014459836196178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0220187755321497 0.034665469395731 0.00319123742994342 0.00630256488764601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0219951479369994 0.0345659306408938 0.00317764221377752 0.00629643769627329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0220216747915749 0.0345831648487244 0.00318149726447673 0.00628642681979776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0221919099259585 0.0345832370374336 0.00316961896981856 0.00626847690652721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0226948165023688 0.0339999528588539 0.00314046765916068 0.00619791707912587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0236568393241843 0.0353914832642984 0.00312331970144453 0.0062903974260291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0219470788404131 0.0345696609760234 0.00319619290712159 0.0064014070356269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0219905711325466 0.0346913654335548 0.00320017898763726 0.00649634203349656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0221032913877685 0.0348157722055465 0.00310035288880699 0.00682049815266089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0265297782690375 0.0416632160578474 0.00336664782614672 0.0082644298333419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.031908893120418 0.051892725419579 0.00417529515119061 0.0106977110370102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100849961596462 0.0826708256025458 0.0240180096959766 0.0373883972158365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100861532340999 0.082718738329233 0.0239931304903038 0.0374780143392839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100841375592682 0.0828382744739804 0.0240033883885972 0.0376140556170623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101169997713864 0.0825609122682666 0.0240175572911278 0.0374723905261362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101938355303564 0.0830701206840237 0.024545726500111 0.0381352119112647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103007654775995 0.0837892141476177 0.0252154042103116 0.0390189696326094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100920192973009 0.083061167130481 0.0241027178833917 0.0376752658988721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100709035030821 0.0835284978365147 0.0241317399915062 0.0379628707432519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0998384266401087 0.084355191449326 0.023967955924626 0.0384731567388901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100157849157677 0.0875439597981786 0.0242922631877254 0.0409871331216838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101112659457426 0.0917547417436089 0.0247869237332218 0.0447516882871271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0556298229408259 0.0637073888542539 0.00859187159433127 0.0218358128817566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0556736431988327 0.0638825210743774 0.00860265604089939 0.0219481718009129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0556447676951729 0.0638616674428534 0.00861497366213789 0.0219394458976913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0557170447519648 0.0641916006374777 0.00864354868704966 0.0221427502206913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0554387911532735 0.0652278324479275 0.00861793189059965 0.022768631798319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0552230721629912 0.0663569661799548 0.00861137429714157 0.0234112176467266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0548171904613921 0.0630117838604063 0.00837779403518747 0.0212866735541698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0541655831692288 0.0619653740946508 0.0081641622965265 0.0206090645467408 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0541485370325785 0.0607050504390719 0.00809292805054977 0.0196580727625349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0525246966149806 0.0554312726547241 0.0075546403226251 0.0158432525243784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0510660715302934 0.0562014718871537 0.00694745028504351 0.0152694602622315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0544951027922639 0.0584202753638795 0.010839762597337 0.0244440839526679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0544160520795131 0.0584988321275827 0.0108255792828972 0.0244972200574138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0543447369010942 0.058561167290878 0.0107945598034345 0.0245287687822474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0541256487356687 0.0585884240979022 0.0107874596371303 0.024566786634531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0542896826263224 0.0591625973558192 0.0107965440185512 0.0249103679519082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0543976241344423 0.0601983046635859 0.0107118502991359 0.0255280143798943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0551797792568786 0.058413857308998 0.0109910221869566 0.0244154447546658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0562140651222044 0.0584454600246297 0.0112160529426944 0.0243761911867741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0576399840432375 0.0588837660609403 0.0115429872301425 0.0245426245235841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0645114275149777 0.0590543844065937 0.0134553410252731 0.0242291389410403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0718956083578017 0.0600885433019712 0.0156150699353484 0.0238970261381185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.046499324955014 0.0472740055124519 0.0044935917159445 0.0147173094404929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.046403152046381 0.0472022804933576 0.00448032804444501 0.0146400549561885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0462515733288117 0.0469766130367697 0.00446139586774842 0.0145267943519468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0458806339443075 0.0468005296192121 0.00439845145793968 0.0143874414588258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0450151878274539 0.0460369040174054 0.00435287671802684 0.0138642242838654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0445953488445175 0.0450999125272861 0.00430959044491319 0.0132272650041842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0453739509899111 0.0471224456046768 0.0042545513151052 0.0147099891789391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0439263946365376 0.0474070708905655 0.00399439023089255 0.0149503914475283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0417917371224557 0.0474773583232785 0.00363266537322392 0.015127668303138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0366088558220187 0.0487435237567275 0.00288615797048322 0.0160162807208591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0399420348498276 0.0519692008008362 0.00434652869694658 0.0175526949138149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0699130650168732 0.0671771822566246 0.00782943394308162 0.0259772251056438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0698307816032872 0.0670763604690538 0.00780472478206275 0.0259106976872218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.069785106934313 0.0669521148964157 0.00778884159203624 0.0258281384088914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.069535199059872 0.0670578788480602 0.00775482839465737 0.0258838418762142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0692495176176499 0.0665497780349257 0.00765328905413222 0.0255385843241692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0688350105897672 0.0668444592592351 0.00759426233023849 0.0256513165874359 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0694772885138208 0.0671654776319641 0.0076581931150718 0.0259534990728276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0689381719028849 0.0669737002690805 0.00750223700035548 0.0257987412600054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0674116318057575 0.0672943042309197 0.00720618992428886 0.0259596059203207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0629844549917291 0.0696771362553427 0.0071044549470357 0.0271469992032813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0664575491788955 0.0752674053480586 0.0091118614492063 0.0305014967483677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0830258276628384 0.100829337153553 0.012436640321678 0.0531278803915488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0831664319502823 0.101029481642809 0.0124506922952378 0.0533490738956604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0834070395554174 0.101135443500756 0.012522679194839 0.0534657676289908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.083826838788094 0.101212073560843 0.0125731979948532 0.0535538596499145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0851012005737169 0.102380397946334 0.0129862646540126 0.0548129984813516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0871213384799297 0.103309994647172 0.0134915318206242 0.0559023488918292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0829772613952817 0.100815173797989 0.0124209642992178 0.053167885395287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0833427461717416 0.100786566350049 0.0124898106949441 0.0532374043981362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0838264842910282 0.100730809501276 0.0125767215691957 0.0533394240922756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0864203724520402 0.103289750818773 0.0134801139209841 0.056508848867435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0901156364336964 0.107964986429025 0.015260935067146 0.0614417141999972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0997957967247409 0.0140715448361591 0.0128422932976272 0.000794661197317679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.099450625863802 0.0139832919574636 0.0127662697447663 0.000788566045972357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0990248375610097 0.0140246369121551 0.0126852878154436 0.000790550779263096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0982491317539002 0.0140321354986572 0.0125281237198005 0.000794952687670768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0949252701156297 0.0140640308705578 0.0120409715820969 0.000801107312544474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0921246585262269 0.0144949588025828 0.0117705290327853 0.00083967752502446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0987480785150238 0.0141572329611506 0.0126269747828251 0.000799522276044379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.097840752782712 0.014345168369402 0.0124671986907495 0.000812871427180183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0955277118636369 0.015417052844966 0.0121721299882727 0.000904771827213893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0895341123735272 0.019928374375208 0.0120386928618453 0.00135172371165549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0884925241278125 0.0252543531262638 0.0133046617744021 0.00196502366278129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101737348416591 0.0702692629477888 0.0585403602037918 0.0563648784540286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0998766081612729 0.0698482557240278 0.0559773182608319 0.0557103883523141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101168175950628 0.0687715473098426 0.0570127606015703 0.0543339439304317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0999349164740829 0.0682658132034137 0.0561602660256748 0.0538405879127891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0837828099444245 0.0658119295621904 0.0398132505161896 0.0528185141967481 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0827885757506165 0.0674501470981639 0.0415456232101774 0.0538367795224675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0927755733687921 0.0697965484169174 0.0474496472865748 0.0559435863033415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0947724559155396 0.0679771923811563 0.0500693431651332 0.0549856764363643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0987894941133024 0.0646248950189222 0.0570564914337243 0.0530645014121975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.118800663071003 0.0898228926857024 0.0783874003991439 0.0590372937185718 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13077558701467 0.120952583834171 0.0928407703993188 0.0649119264070996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.143136739539494 0.12237037608955 0.0165904445187523 0.0700409291071571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.142864806378467 0.121432819505452 0.0166814276118199 0.0689812340535501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14254866928543 0.120671355015199 0.0167663902368372 0.0679815035986981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14287019386531 0.117428632115165 0.0169780641063576 0.0645985161449633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.139862587987673 0.113777472434469 0.0178045960924732 0.0587853985752537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.142047362781629 0.120620288310188 0.0212594551769465 0.0635812987611298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.144401360241892 0.112047497461069 0.0177856139316037 0.0581071612144998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146588122776959 0.0960572526709441 0.0197865665125966 0.0423888410774773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150450658769254 0.103369249314327 0.0224171146239274 0.0489658806397747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.143572871111757 0.114132321375445 0.0313334665324379 0.0624895010210068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.147017696699559 0.121328439124249 0.0407958344131149 0.068806038059791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112095219716743 0.116172814303497 0.0653081396436045 0.0698463135735471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.111994210781305 0.116284166644301 0.0651675313524025 0.0698468556077903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.111434653941899 0.116153780422847 0.0646082789653191 0.0694981980457161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.109629992150989 0.115764948781641 0.0629018671473196 0.0687309555114197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0936666654774825 0.10578071005985 0.0473443440100578 0.0569268199802604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0934616268554008 0.104347403319889 0.0441397204407333 0.0554141741802779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117009641237863 0.119856659092762 0.0721330794370734 0.0733147264991388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.122231101225253 0.123050444161758 0.0801018391887042 0.0755721750186267 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.128004658812872 0.128301501126237 0.0889551311609131 0.079600771699559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.160554439922144 0.150547669429084 0.140951272568185 0.0995978456470835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.17117069318596 0.156015599556102 0.161317158883605 0.104274273356594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.350346082684108 0.307389439948523 0.243726508387345 0.507970486097812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.350603106417957 0.307869136466538 0.244665335823541 0.509035787223243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.350748266963697 0.308296947915231 0.245498796434512 0.509960858661536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.351260923042366 0.309065781885178 0.247138657388761 0.511332340077797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.348922765882016 0.310528469502704 0.251811049180338 0.51255757778009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.346944785707601 0.29720837628167 0.259649532850796 0.467896004809692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.354382438040174 0.308991858689649 0.248574727161395 0.512727840977967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.357409798936136 0.30926333457131 0.253718877334696 0.514029782523892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.362710621538953 0.306774448690903 0.266551154400792 0.50757304158003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.376852538225013 0.29256670170146 0.302726168634907 0.449412208842897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.373389399901979 0.272504987132402 0.298056486668159 0.396758197507586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179114758297085 0.203643430946832 0.0478155162591748 0.188608204706554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178968105382279 0.201625213034632 0.0481092520006532 0.18316712041254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18100650934097 0.200416125697988 0.0494834116116648 0.180541656551086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179736963728288 0.194499645930902 0.0500379181696832 0.171502714030725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.171535728343214 0.175659503118511 0.0490628231694531 0.143438195961877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179193420373276 0.165476524425882 0.057553563536568 0.127233648949587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.187574899993373 0.214204380030533 0.0590603058085611 0.205140323115809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188030574861796 0.218054403150075 0.0604494350591955 0.214025949426867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.182701359801961 0.223376102933885 0.0600449269486506 0.22754283901019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191627008187001 0.212563113417022 0.0755293167638373 0.201565258862206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183977964231617 0.179745635766435 0.0765503890585736 0.154513773961878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177486056185508 0.195577945472187 0.0751700767507282 0.193340485402506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177156851881939 0.194961822197094 0.074961073261185 0.191894751838536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.17713145007327 0.194506564676779 0.0751012469628119 0.19080333058929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177365789640348 0.193599917102309 0.0752646793295053 0.188729288280931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.176579961572012 0.189201587369609 0.074322369670257 0.179585553463034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.174767519152532 0.18376193630306 0.0719238487167775 0.168642761799506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177263112346017 0.188815936593185 0.0747717826480033 0.178463691808899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.180452940610782 0.18433775529226 0.0771514951667891 0.168815173769601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.180298442878633 0.178247301474844 0.0760513109615686 0.156794580101179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206161656599537 0.162493766539586 0.107345402031497 0.127770393987908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201744866262347 0.166189227596816 0.106764257558405 0.130316618653326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208586521886675 0.188653478476661 0.0893532388814593 0.178623234887778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211918289138695 0.187086098966901 0.0906595948629462 0.176057292396349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216771636069987 0.186762079463885 0.0935295896134656 0.175369091743516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.225564209601043 0.185420084781446 0.100474136048842 0.172595570082073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.229790157552377 0.170002527223044 0.102184884965097 0.144675735342525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.22659676226491 0.161247375304757 0.0984317685830063 0.131527046855156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209246332657313 0.191194645210043 0.0889784729603112 0.18499633719484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208763966258903 0.191745688788156 0.0879178266393237 0.188790882930743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206195245965318 0.18882461357591 0.0865683274820645 0.188596788473547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.170701247932562 0.161351964796745 0.070792058087925 0.146717192447597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155140305091425 0.168117526217152 0.0649117009161298 0.14491906529434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.291157433845677 0.284101710210658 0.160172011365888 0.429161982540724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.294274987023662 0.28531909815006 0.163028134767731 0.431991240175132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297340933240782 0.286061822527468 0.165845898127061 0.433112185586859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.302630825639039 0.287513530987011 0.170572065673033 0.43551492885709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.311396499766328 0.284895500161808 0.178838759838146 0.424148849195748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.310855810309681 0.272494369996603 0.177667608126932 0.389981123529228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.287550814490276 0.283376538487263 0.157535469534181 0.427027733727178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.282046968834 0.28079476160762 0.153229955669956 0.419888587702403 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.275742871690426 0.270480118296011 0.150540990203521 0.392798849249541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.203583815586522 0.246339773666914 0.099513230792909 0.319621555352661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165881859699376 0.238851606430268 0.084299454882247 0.294094297089728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.37702545226157 0.308094730025997 0.285950520753751 0.512666154501382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.374091096022725 0.308792391380568 0.279513690432638 0.514916758483113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.374247444317229 0.309391400598336 0.279305997650512 0.516179987575292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.374555984984603 0.309784718520127 0.279069989543454 0.516649855181231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.365345653759986 0.309777264121016 0.258286010640118 0.510691109346124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.356116298723172 0.307664284044962 0.243797672215426 0.498826102748528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.373925168643083 0.306138711705771 0.279905795084526 0.509617482035728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.371884645919886 0.300809004342435 0.278339031966791 0.492052454407307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.364884880504822 0.288661019159828 0.271251734388155 0.44786633356593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.344467633447391 0.266333491813153 0.242984145076814 0.381138496762125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.343362019258016 0.255773669675771 0.244302950837877 0.353311436016944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135379000351173 0.11408644021233 0.0216334734946478 0.075683204970041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.134907528592348 0.114444377711474 0.0215980828810938 0.076068131688651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13440820047585 0.11467829825693 0.0216141130791446 0.0762544961267801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132482539149156 0.11508549394335 0.021705575646971 0.076721250563678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129547529925377 0.110326240815085 0.0236762333834818 0.0710445202767328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132535632748086 0.107018361789952 0.0254137609130256 0.0650659525328971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.144790472230133 0.114713230687401 0.0245676866722239 0.076261100221153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153311176274157 0.115804938810426 0.0277061413939698 0.0776911478580397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157908617313024 0.112232470136023 0.0323148973748965 0.0715194148297068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.194463254798872 0.0885844199272823 0.0728254566002733 0.0387658266547292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.224680125981369 0.090718498165378 0.124245482285112 0.0354723415949646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.912488500802642 0.828503223123892 1.00569326468408 2.98064438011919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.91252816995347 0.828267351397542 1.00575110145281 2.97924486103974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.912542340203223 0.828152511091703 1.00578342532515 2.97864653504957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.912576089637679 0.828042108714358 1.00586993964992 2.97808318190129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.912529456277748 0.82777405375901 1.00587715817769 2.97625778550378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.912290200400206 0.827630240210801 1.00561277675227 2.97530955378211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.91218190031371 0.828998714397258 1.005527347739 2.9841755996283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.911978809481704 0.829133786793399 1.00534189634377 2.98528863318118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.911554912765543 0.829298146072484 1.00491950795454 2.98702526601335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.910317987179313 0.830011361060649 1.00374146516062 2.99393868166509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.90931192752376 0.830522425016485 1.00209061274981 2.99993590098395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.7623958452187 1.77271343998058 3.86414064960084 14.6133135544864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76238888721877 1.77271555709989 3.86412427505179 14.6133276950208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76241190370189 1.77272498080306 3.86411382206996 14.6133420175181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.7624482736288 1.77274806696164 3.86413163420998 14.6135382583474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76259739113791 1.77300375891214 3.86451714814377 14.6167232992666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76270302693302 1.77331616405778 3.86506300833938 14.6205933069902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76255809726547 1.77271767361372 3.86442555762471 14.613266476809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76262832118119 1.77273499169654 3.86463071333364 14.6130842766383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.7626902941649 1.77290323347079 3.8649102219832 14.6148852782791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76293711917027 1.77458911554325 3.86641944643202 14.6348571882388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.76304196248023 1.77583106896788 3.86914790272151 14.6506858836921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621814997131343 0.623914550453591 0.778432067554169 2.22527193341759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621856510210612 0.623552273168861 0.778665634770101 2.22256092826891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621864011373403 0.623539702378006 0.778836029236754 2.22252882711523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621927675738441 0.623598148352553 0.77930658284249 2.22293562983623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621900300827027 0.623388909343534 0.780214683245051 2.22224741752452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621995936377512 0.622982751666218 0.781472637232729 2.21998176110491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.62203142491754 0.623746917921227 0.778478234211089 2.22473791887892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622347587433025 0.623299508300036 0.778888183750354 2.22129558836652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622376708644331 0.624010350339381 0.779444263032816 2.22537540886464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622980463276233 0.623986170515391 0.785991568287359 2.22502606570947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.623742258097857 0.624034730052495 0.790239745492767 2.22498869350108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.767987989899347 0.599280878300022 0.797850832306825 2.07260240271224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.767991713681049 0.599242587346725 0.797886265714332 2.07240177643863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.768003219272719 0.599199979290794 0.797929000921369 2.07215833469433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.768096274388964 0.599140194736673 0.798029135708532 2.0719187991521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.768607011147327 0.598807035976296 0.798359521344563 2.0703432423968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.769065871407694 0.598778128360256 0.798586920970153 2.07052457625121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.767875845560248 0.599333674860618 0.797827751655519 2.07289052851549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.767814178853477 0.599363419408519 0.797925537818896 2.0731142657209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.768112902258949 0.599389760773738 0.798564945536031 2.0735175557619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.769234305208438 0.601298056176259 0.799843903736785 2.08606390161413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.769759381642545 0.604218156872169 0.801501197986004 2.10491191272914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.18982479900273 1.1886836665569 1.52447613826501 5.62316527267052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.18986307967741 1.18862149656461 1.52452515639165 5.62254123063639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.18988607118881 1.18856867813224 1.52454595023658 5.62202754048295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.18992586187484 1.18855877668808 1.52450761253022 5.6217619778146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.18991856851046 1.18878365244033 1.5247022932762 5.62336282364299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.18994917679421 1.18899123411848 1.52530638204321 5.62443436739899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.18988100625661 1.18869265595177 1.52481084805435 5.62304864970168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.1899480070283 1.1887316001696 1.52501374680589 5.6230029902021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19003844175117 1.18877155764245 1.52555256323202 5.62242284561933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19064306304143 1.18979389642685 1.52711682815826 5.62735114169868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19108166587975 1.19167971677648 1.52964877984785 5.64004724858325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786789959250701 0.783798807742918 1.77790772895055 4.02458684641021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786788081768941 0.783818709951863 1.77797134811133 4.02428180893752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786800558903529 0.783817696175087 1.77804820740736 4.02396297270721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786714379006377 0.783882477771596 1.77806004459858 4.0244404475165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786625251706965 0.783993978232957 1.7780276278651 4.02721174381019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786164938590785 0.7847616304088 1.77619731574699 4.02984171758844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786773006709025 0.783607432672788 1.77744564211622 4.0227786811138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786752721019353 0.78372681927086 1.77703709766407 4.02302686555641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786754683803125 0.784061301644665 1.7772331181242 4.0244691455017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786113241651521 0.784088511011069 1.77356196115071 4.02260746218564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.785657519226228 0.784379925083127 1.77144247639064 4.02642133546712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.964573021878972 1.01026198387318 1.0409382734277 3.85655635573982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.964530780063212 1.01028141390069 1.04097644594635 3.85674055617016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.964610175504934 1.01035085484181 1.04102448401085 3.85716587262324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.96481935749048 1.01036297668876 1.04133018634785 3.85737437751662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.964973306487559 1.01059495590941 1.04149762808353 3.86036404186749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.965228635380487 1.01048997038641 1.04188344930479 3.86053468055068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.964702261617997 1.01020359068365 1.04093783587849 3.8563235938988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.964607096102912 1.0103539723711 1.04113564072308 3.85804696462805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.964978952363669 1.00966195811788 1.04156055109366 3.85486220767095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.966379802810168 1.00712749475902 1.04107655878236 3.83489738607531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.967063337348389 1.00665397589851 1.04138446815773 3.83192604396633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25525219437714 1.16417623946584 2.14877308510358 7.50854071384426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25542687598646 1.16424391007701 2.14858059968415 7.50917396924689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25545462286706 1.16428411368754 2.14852228825084 7.50958194471932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25550766864613 1.16439037088522 2.14825974056258 7.51058451043035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25664597104936 1.16526211903583 2.14488070642188 7.51956106056119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25669272090189 1.16600083767816 2.14238616876206 7.52804643830402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25533430380749 1.16436234391008 2.14816364385528 7.51029335931569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.2555150098615 1.16445704992909 2.14760295683135 7.51125353007787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25584281154274 1.16455393151296 2.14574254467731 7.51236180827716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25553429344737 1.16533139484103 2.13510013220188 7.51475604064024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25596247110176 1.16652781075344 2.13135412782493 7.52978602118907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.732636453401162 0.725823146741772 0.848409551677731 2.71823085292782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.732717916855823 0.72583968893621 0.848398983596835 2.71800573678293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.732780179930651 0.72586065127025 0.8483714805416 2.71782345232775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.732817442086855 0.725942929993072 0.848346231130376 2.71762436150006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.73306004507166 0.726094519713531 0.848453046759935 2.71819906941912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.733159961386606 0.725940113542483 0.848287227114008 2.71664204218089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.732440244131114 0.725742647643571 0.848252606040275 2.71806144391966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.732223344107088 0.725634576060159 0.848062733701049 2.71787596503349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.732002082458799 0.725277537337719 0.847620145383351 2.71576292458422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.731488475590518 0.725720075061826 0.846717478638285 2.71971205084881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730694415031219 0.726240225922672 0.84551841184693 2.72432766795479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660804828163733 0.646016562025701 0.462931221921472 1.62495834466629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660806695481776 0.646083441907311 0.462925581724386 1.62538306454495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660789429962474 0.646136660395159 0.462924814440307 1.62570536024338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660866697708692 0.646195366208082 0.462979244497919 1.62593485611758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.661033376573652 0.646615469867948 0.463360700125141 1.62841513991265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.66105182839992 0.646741441425754 0.463320652456547 1.62935513326445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660798265596839 0.645969297625789 0.462934300058384 1.62474024559532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660861117593208 0.645985547254145 0.462978970403893 1.6247661366371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.66093118610582 0.646128800553555 0.463427881233446 1.62561032999726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660899914513562 0.645986187785998 0.463267692515885 1.62493819307488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.660968152320619 0.645899795887262 0.463180745478917 1.62474771723332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826239842998545 0.883010006512007 0.911249628904541 2.79037538729337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826267930402959 0.883166884135891 0.91095080906923 2.79084441584725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826438356165461 0.883390052972659 0.911434362208948 2.79286213099076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826707682479604 0.8837103538152 0.911465363872791 2.79529138341206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.827782380037513 0.884592768167329 0.911652745643975 2.8033895164188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.82887742681295 0.885376262758325 0.911554028656315 2.81389370584477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826292342265789 0.882722991483023 0.912567661334711 2.78965695163252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826367574784786 0.88227413020298 0.913211825774558 2.78775742018667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826744250739683 0.881612236694291 0.915446965610129 2.78708399803766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.829246176553281 0.879850286910112 0.919992677832341 2.79048474523777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.832186682869068 0.878608290316669 0.921989097115174 2.79890509274508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.77662133120792 1.7808535921507 4.50097100816761 14.705878773254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.77735764591513 1.7807607699212 4.50066087164183 14.7042045919036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.77765970717705 1.78072167589019 4.50163581180736 14.7039570314825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.77862626158912 1.78061600870751 4.50365127819177 14.7033496122743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.77998675054946 1.78166259368183 4.50890847859789 14.7232202724265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.7820936505395 1.78214634822214 4.51627238911552 14.7293781177288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.7765250012063 1.78138751493098 4.50117811536081 14.7118787488189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.77680495753736 1.78252153924771 4.50493757403829 14.7258606949892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.77783480003531 1.78367178209959 4.50993060667566 14.7398615624993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.78196307419023 1.7863884596727 4.51706368172863 14.7628407709836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.78491488319815 1.78878509526941 4.52589848317737 14.7892863458318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.648595932775558 0.653232334348598 1.07761065553345 2.58420590311557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.648925963100036 0.653137737442442 1.07789242940929 2.58378153971979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.649266884035955 0.652992710277549 1.07822557584852 2.58305830900938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.649957947412193 0.652626528616393 1.07889113120382 2.58146363033087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.652401210655577 0.65215012477855 1.08070863129202 2.57782493636684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.656518312260054 0.653831971967967 1.08634826642625 2.58705996931489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.648600326682344 0.653453001096206 1.07712565556766 2.58511585431013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.648445708550353 0.654024486380239 1.07682705012773 2.58820326037588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.648243628885245 0.655673331665025 1.07658846336309 2.5974670918448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.650220914050486 0.663394600013674 1.08988292497828 2.64298934437537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.651859824520814 0.674129262926465 1.10044450466858 2.70916482568178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.753765584445162 0.586771799802429 0.821369420133241 1.7786105378298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.753792834732796 0.586955138658858 0.821442881431074 1.77953450475984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754168227850775 0.587459114298495 0.821609720263135 1.782155677442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754334688315297 0.587524678659898 0.821770762980317 1.78256109188346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754250800784534 0.588601450061631 0.822061316343081 1.78945332632275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754237855328948 0.589184041386305 0.821605817426325 1.79331637422688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754244387991474 0.586698914782953 0.821071020681826 1.77743039319624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754235313090856 0.5866660816085 0.820543213773227 1.77741935998186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754275920077323 0.587031774543955 0.820592494454599 1.77947249056802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.755938878027753 0.587939637845812 0.820915431526354 1.78677828798026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.755835162819755 0.588065621810435 0.818538141748954 1.79188935257874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08944016172174 1.08912189626963 1.08086345066674 5.02591300965147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08951457355271 1.08905536371479 1.08085849778669 5.02526558260444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08955101278348 1.08904530015517 1.08085208674243 5.02518431305352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08961989149284 1.08895468121096 1.08086543483796 5.02434474991232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.0897222778632 1.08778394129193 1.08091760405223 5.01388698392283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08981018917597 1.08766055227283 1.08130092300874 5.012716668548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08948939875793 1.08922076827005 1.08101239599495 5.02675739020572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08946345874921 1.08863607380589 1.0807383367512 5.02142413566993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08939346576725 1.08784392842695 1.08074220896061 5.01396052676432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08834784994512 1.0893013615922 1.08255758930309 5.02457707468471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.08802086687982 1.08949120289872 1.08528017910345 5.02283091276934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.85705932201657 0.852912629810619 1.67502180206093 4.56069036775225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.8561247520582 0.85344682882697 1.6717301710741 4.56388924711948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.855419455015332 0.853790829524306 1.67084043147226 4.56689698495178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.855879246779094 0.853725331758621 1.67288599660396 4.56572854417481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.856243882592381 0.854363605434133 1.67394639516023 4.56971877867633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.856168891684166 0.854516172067534 1.67422113855361 4.57112037677271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.856581543926072 0.85352079092428 1.67915242275709 4.56798634771246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.857176474947977 0.853610500531145 1.68117548759859 4.57020605062099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.85837271828071 0.854665790614961 1.68610006285902 4.58201447922395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.86079726595942 0.856184046579144 1.69508078685433 4.59985204509659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.861780146992026 0.856439195726821 1.69984796455951 4.60320708450048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.819628763558282 0.810853226420421 0.78225358582412 2.86354997620481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.819630219449671 0.81086316460655 0.782289032986613 2.86367333237107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.819702693482443 0.810903088436686 0.782318809449368 2.86396735239049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.819819075864352 0.81097699678374 0.782430022571866 2.86450275225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.820393492349254 0.811187410638413 0.783065448554262 2.8658542638047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.821149286158354 0.811290750474157 0.784066459366191 2.86564480558393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.819784377477293 0.811108128755512 0.782332974485336 2.86528422761093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.819803630741292 0.811405217965483 0.782348646161571 2.8674505052187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.81995151018275 0.811473554293183 0.782686892999408 2.86767643728428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.820211842268552 0.812202766363615 0.78480855442252 2.87134552978144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.821380994029523 0.813089012388347 0.78728392506518 2.87498603675446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19417926202894 1.06524870050916 2.13155842287393 6.5602218742371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19421751659095 1.06515241509104 2.13153953655109 6.55934957521151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19427996683472 1.06513485553343 2.13147383740819 6.55931070536066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19426001838652 1.06531436544813 2.13145913263969 6.56107642348723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19529110164996 1.06474906306769 2.13095985622686 6.55540296697205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19633731764296 1.06529275295778 2.13120915277924 6.56128653137592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19452748594031 1.06507252299183 2.13156459262243 6.55883652517816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19472866588954 1.06500401750562 2.13143412090787 6.55825685888041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19521384293162 1.06533558258959 2.13092831542762 6.56210880765773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.19643396187011 1.06845162740983 2.13179845427996 6.59482287136395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.1981138811256 1.07074081950952 2.1319958622243 6.62109393742483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.722959809088582 0.811982753259749 0.813711634154101 2.68607269600967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.722966869939469 0.812036041369196 0.813753216699919 2.68637487009443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.722974745401192 0.812184595856572 0.813828637454131 2.68735741762248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.722861467230456 0.812752310781237 0.813705209701543 2.69106424615867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.722955566448083 0.81322608258591 0.814271885061997 2.69305737189132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.722522992547595 0.813725412719974 0.813715069293041 2.69643333564202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.723274308378559 0.812013850932034 0.814007305474107 2.68615319485104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.723192901938146 0.811915235655697 0.813876076773489 2.68511663884994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.723393942452696 0.812024713073931 0.813940898064995 2.68516568268591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.724712920739956 0.810743043359808 0.815845717363652 2.68054715523279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.725179011158383 0.809502026573173 0.816169975028908 2.67748239347325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675189085324635 0.620928451389278 0.510570962443469 1.42441440885937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675254937154499 0.620908424954687 0.510528094016117 1.42432722662336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675327335887458 0.620937801434654 0.510551369902942 1.42451320519722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675530922577423 0.620967115013472 0.510573364046943 1.42467120453987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.67631032277546 0.621072186556904 0.510765201982433 1.42499035984354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.676563608086541 0.620767347969614 0.510206998810542 1.42361429074542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675078343515975 0.620709534399887 0.510285263638782 1.42377555531414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675072113611934 0.620561159457529 0.510081491104725 1.4233745769603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675270112617429 0.62046166732047 0.509723619504791 1.42326123410392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.676659642664952 0.620874860317186 0.508778707980169 1.42551572988777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.676885232195383 0.622376410109281 0.507981095965996 1.43283305797149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427536725842036 0.265557025380454 0.141643324717552 0.440185723565377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427797283950868 0.26630206603969 0.142314529275718 0.441901785046896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.426820957142405 0.266677949516336 0.142691354588261 0.442798756462833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427191555169012 0.2672357994812 0.142665967567503 0.444100974068789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.428841754450252 0.269788960324068 0.144665506949646 0.450172335335658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.429708765463103 0.270824818742936 0.145897176831266 0.452066961443846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.428010524989401 0.268331982649671 0.140036437939203 0.445077645042501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427881101022971 0.269646877331661 0.140416825229323 0.447510427120604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427700454777413 0.271797437331922 0.140023607745857 0.452937094911856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427922847000943 0.274037139376626 0.139990140012568 0.45703421249809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427927185401929 0.275128123861764 0.138458171322251 0.458630159787185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00292571213581 0.696643680667886 1.49118701344927 2.0024678519819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00296583691774 0.696592288506464 1.49116869808036 2.00197867247766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00266981581743 0.696536678387799 1.49089463704436 2.00165143012751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00199966427121 0.696574236678999 1.49092069178507 2.00218026673391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00299782905208 0.696821901563726 1.49279492844369 2.0031969116657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00230400776377 0.697215080099685 1.49379347411501 2.00455380048827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00172698756324 0.69707245019005 1.49069658005029 2.00527193536856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00260520475011 0.698343877180865 1.49504464472369 2.01465081079475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00422112369655 0.699906076656332 1.50050861949088 2.02637132380314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00579922807811 0.702614024298553 1.50819702531933 2.04952289815762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.01281260839692 0.703423175919618 1.5217582916514 2.04708567346782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178356286424604 0.183393841022333 0.134682619099181 0.129827587261316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178753280697524 0.18376915232998 0.135115434471006 0.129885907178392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179127726571309 0.184216339359956 0.13550576609676 0.129980323844116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178508815721931 0.185334001996862 0.13519003736726 0.130226607695621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179913153995239 0.189031476448775 0.136290436154583 0.131774445409886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.181334963555509 0.193649631711796 0.137788661440091 0.134486529061736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179259117331295 0.18668624055269 0.136075056714419 0.130752342019395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.180263812389122 0.188338556915362 0.136892163828197 0.13158028604312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18465231945469 0.189883568811706 0.140721871207498 0.131358561454897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.192183088193036 0.180870450190704 0.149539371413776 0.12783454053685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201998895099463 0.187081995597893 0.159739892943624 0.133302182124065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0986523471094572 0.0541667414668397 0.0176140801511367 0.0116177134572965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0985174543295638 0.054658708557827 0.0176409550241876 0.0118087138576293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0983703220403836 0.0551894190562346 0.0176961371605629 0.0120186536608634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0977059069492544 0.0566632938406846 0.0177426333923184 0.0126756810152688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0973471544351811 0.0717574226338227 0.0193208132411006 0.0214125900626396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0930250983444492 0.0856132364796044 0.0198885061043171 0.0323092591332752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0997567477730776 0.0543509746085959 0.0177409343362846 0.0117308833825387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100359886888226 0.0532223935153549 0.0176508492284669 0.0113035592467721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106866955600317 0.0496114214401865 0.0176749193494892 0.0102485917241072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113161403431869 0.0490297584849809 0.0209022389183169 0.0105604185804866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.127679157172367 0.0532065376090313 0.025812858656039 0.0121666721088063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.418292877208603 0.309014005822052 0.195194068474511 0.433914607746998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.41478152732074 0.309689221172028 0.193180047228702 0.435663613819799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.414265794773556 0.309892648145935 0.192710988025737 0.435885803820313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.413965562908611 0.310226140704015 0.191843495568388 0.436272006588183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.415238705672585 0.310786401890426 0.192464749819078 0.436809360153172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.416901096807402 0.313402897071035 0.193800660089836 0.440916405662085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.419958644257128 0.311425191843297 0.196074589635757 0.437418849151815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.420110566999961 0.312440209717276 0.195851997991982 0.438949133913772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.420654996969409 0.314123417385834 0.195933677544139 0.443674582400465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.427509178107019 0.319348121422301 0.203591766764571 0.455841393018018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.422557046418315 0.323872575405315 0.205562125725953 0.467981220101276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.393651696093874 0.436452715134001 0.547281795723126 0.820042133408374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.393347005533393 0.436464982746376 0.54655802643378 0.820015555095247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.393050014846062 0.436618213755269 0.546320437376468 0.820595098214092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.391831392244283 0.43644832748683 0.544871419780303 0.820098072430843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.394184539620309 0.437792416408942 0.547473996600337 0.823350446795616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.395870483896515 0.437928034002618 0.550216671480788 0.826012411100615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.393734543545881 0.436580116898441 0.547218496120705 0.820239888570102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.393871582418748 0.436360232719964 0.548069356508328 0.819856768556736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.394681051144798 0.436416558756335 0.551216865485072 0.820388576117363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401202329891674 0.435720146187284 0.563418316795096 0.819984496469541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.403547652193129 0.438598212647048 0.562219134559958 0.833807706058793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.334388798978965 0.2291937040356 0.14217716581627 0.288738655017372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.334146166560552 0.229150501833506 0.142040613924331 0.288620609116014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.333900593101829 0.229183045597196 0.14185346720603 0.288589953735364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.333920222824383 0.229210711966381 0.141911016141729 0.288574306720105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.335714592620959 0.229387565073359 0.143371013324142 0.28854923956594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.343648159674391 0.229308470735735 0.149435217321952 0.2872806821058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.334668271764907 0.229131003719065 0.142326144784065 0.288578530582657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.334780250740925 0.229160247937076 0.142257710619169 0.288633913759451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.334198113972828 0.22940633037052 0.141566837586243 0.288954845962764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.331003103076448 0.232445906852213 0.139316319173153 0.294795128636968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.320600929111863 0.233774194730819 0.133322778991472 0.298309369810051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.807230295200445 0.570574462838619 2.01266112845989 1.46546741853577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.807393295922687 0.570636028467412 2.01304163951344 1.46564611048749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.807841820521375 0.570653889896171 2.0128236605065 1.46583164412132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.80856847185716 0.570572525249754 2.01253831931127 1.46586196869428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.810916744588774 0.570310953052429 2.01162924778266 1.46554247266433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.813879790551337 0.56997583466134 2.00940284854917 1.46514299160413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.807595093447078 0.570549072781927 2.01283019483383 1.46534692766741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806760213103682 0.570104298561139 2.01438810576992 1.46449476336498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.807510011227893 0.570195625577106 2.0176830124203 1.4666440583122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.812307444460918 0.568113351341881 2.02286762028519 1.46596826821885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.814300857913588 0.568192862725812 2.02497838696688 1.46996946287026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.436351767972581 0.18106699735185 0.20790783005201 0.202151064998925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.436118131190974 0.181236545350614 0.207841059926188 0.202417219283992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.436118225085267 0.181397442769501 0.207881132292482 0.202644825597326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.436002786220369 0.181694184335839 0.207991374180548 0.203004065533305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.438236916418214 0.182218636963119 0.210152958351746 0.20397386961191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.438324119041912 0.183166378208194 0.210823636453918 0.205239989911377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.43724257931986 0.181156523180102 0.208726622217422 0.202293296194941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.437947140930582 0.181192579784332 0.209391537833304 0.20235425329777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.438225141682893 0.181041610956699 0.20904765295973 0.202055258001693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.436788615128775 0.183774352597213 0.206130007035611 0.204029139860915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.443865163325137 0.195116479946203 0.208302507404801 0.214186361395631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.261077518011809 0.185371724004901 0.0582857357849525 0.159151589112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.261069980448025 0.18559850487203 0.0583199849268172 0.159465620378697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.260836920045432 0.185751614012441 0.0582921488212348 0.159669398187765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.260478522382412 0.186056477946667 0.0583068195132321 0.16010316781249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.26052091817881 0.187164347657869 0.0588314937670649 0.161492938620142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.261481686527993 0.188175799846178 0.0598569605359598 0.162789826308523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.260809494464063 0.185314891335536 0.0580892639331869 0.15902973798566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.260938877802914 0.185362993048487 0.0581486316542757 0.159080235521543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.262040048651 0.185595372477877 0.0585479607268785 0.159316912442721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.265034794496928 0.186099819631235 0.0605351974548826 0.159559205167942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.266756808451519 0.187338656549475 0.0616003125334319 0.160855375331916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828115174109909 0.848410356914624 0.826850941508769 2.51337543758816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828086355854331 0.84840640762456 0.826831669152254 2.51323408307202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828074679992262 0.848383661515591 0.826853767166837 2.51297425650131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828067349283882 0.848335179867837 0.826863318695544 2.51249468433678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828127791681417 0.848101220756305 0.827156909324126 2.51037871494705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828207829409611 0.847895482226289 0.827716574602312 2.5089613230536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828113641858388 0.848653140986948 0.827021349843645 2.51282848411042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828104559004741 0.848901015380842 0.827263298851591 2.5124072161008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828364304643685 0.849332795042166 0.828086380362443 2.51133971941504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.830456466930842 0.850116750551747 0.833037816360685 2.50695018436131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.8339080567069 0.849650684937078 0.83945433551267 2.50120017192875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.538760867798141 0.45989558947151 1.14796659080728 1.3198917549439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.538771460194251 0.459919171410931 1.14794248664771 1.31998499561523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.538810785601406 0.459942632065219 1.14794929142954 1.32008119822009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.538863950941812 0.460003455174246 1.14795987897542 1.32033342873309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.538814176832659 0.460403694885309 1.14702152189221 1.32147414523477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.538960322936264 0.460742570612998 1.14713357156031 1.32278716880925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.53882907421802 0.459893062644941 1.14797410205046 1.319976078207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.538682969072797 0.460045107679789 1.14702211988911 1.32017918254817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.539177235185932 0.459921405115257 1.14765824529374 1.3202652236298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540061315181967 0.460252818524484 1.14799150151277 1.32186013683833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.539961842284498 0.461481854017561 1.14780166509281 1.32727637701589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.78622004345248 0.775269842110947 0.820537182245006 2.67643287728448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786215055521444 0.775242726593706 0.820479963856748 2.67628628762324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786200184400755 0.775232206766119 0.820427378251178 2.67626391982619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786159136853658 0.775196177024739 0.820295351155551 2.67607420060476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786088922063538 0.775061228217565 0.819836701853243 2.67528339709587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786117963966046 0.775007720404275 0.819681592392791 2.67491407855946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.78619384059362 0.775294507197154 0.820607120489124 2.67662516420538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786170682777895 0.77530817702474 0.820702727890849 2.67672829267396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786149988925994 0.775453513102051 0.820901270641624 2.67756607335857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786388556366231 0.77649431616315 0.822105830265678 2.68284214340583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786813417711792 0.777752432910303 0.823453853406556 2.68852420382232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190740062906893 0.273043070777387 0.0715269161201434 0.260085187738146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190730609832459 0.273075054596157 0.0715326777797433 0.260135024431147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190742165764144 0.273060165274975 0.0715400120736341 0.260133141196777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19077800494773 0.273053470021469 0.0715569150904261 0.260141414314434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190977396715486 0.273205522913374 0.0716714293275679 0.260367853855391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191173786669133 0.273362793423088 0.0717914668336769 0.260611601188163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190727686428181 0.273081429099288 0.0715265272126035 0.260122996317667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190746545093362 0.273129875161856 0.0715461762126568 0.260187573441148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190794501230094 0.273200283914063 0.0716047939824721 0.260298453908341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191268053189733 0.273767170244264 0.0720206805874048 0.260995637036493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191903620352449 0.274462527774243 0.0724554575347543 0.261887999853284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358442878207549 0.288847967504992 0.421503956301532 0.423984689121852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358442940769614 0.288845525598338 0.421447052119929 0.423992551964184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358461416439923 0.288838480245644 0.421433378494516 0.424038151857006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358496524072863 0.288872214009655 0.42137001325424 0.424177497425867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358662596194103 0.289020815563548 0.421023015005206 0.424718722254043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358879242127461 0.289123293919715 0.420741484729988 0.425249142614052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358472961708333 0.288787894896188 0.421575923327711 0.423948557170601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358574762121795 0.288801806832823 0.421708867623184 0.424038737848446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358770045875424 0.288780710569912 0.422000444265163 0.424108444379766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.359943594224038 0.289022298627346 0.423514564634756 0.425442208907584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.361656264642544 0.28962638758836 0.425384270304235 0.427584706450631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0596077378826172 0.0567797539896514 0.00370905848407406 0.0134746481751371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0595669039640768 0.0568141855014379 0.00370841275610186 0.0134890646353132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0595850862626237 0.0568191868224419 0.00371332677151905 0.0134911974234121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0596124068220735 0.0568876557788487 0.00372486157580953 0.0135205884894913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0597814768352836 0.0570802958975609 0.00375384969031934 0.0136017874036797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0599174843392275 0.0572274147879176 0.00378848288439373 0.0136631371537008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0594365397320228 0.0567821767109195 0.00369388245874505 0.0134494242463376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0593320027880569 0.0568417569418837 0.00368020016686356 0.0134577332568188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0590667689703555 0.056986327347111 0.00365534013068525 0.0134881862079096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0580459526672561 0.0574481737746484 0.00360188786352773 0.013523391063049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0570758741160742 0.0581369716106539 0.00363982361085131 0.0136641001111187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04490064824744 0.924820171926139 2.27394408286937 4.76295378795383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04443898642183 0.924789289346432 2.27332004449398 4.76212110808286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04441362892297 0.924788973080008 2.27330865977447 4.76211122970161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04431297781286 0.924757210053276 2.27325629198789 4.7619846267287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04426255075701 0.924625199392655 2.2733238866462 4.7609253970485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.0438410813299 0.925042779620482 2.2726007634117 4.76384028946346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04485801588117 0.924806920136878 2.27396760496645 4.76297204287516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04494109929005 0.924804259212128 2.27407750021856 4.76297543980348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04507330587297 0.924795512121975 2.27433446113861 4.76304002290108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.0453180502003 0.925341713166996 2.27500995249311 4.76727188051603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04599857918854 0.924610936152994 2.27847866113378 4.76062341859686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04237314106395 0.95276275950516 1.60961641871507 5.17222077312584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04234165636752 0.952798263770087 1.60963293778953 5.17246183695748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.042348649759 0.952825747463014 1.6096475107392 5.17259152459124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04232783260776 0.952906452803718 1.60970296658271 5.17306113063986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04207794399763 0.95346698918104 1.61001960111701 5.17727760737105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04195373005972 0.953919891193505 1.61053639855698 5.18048628822251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04244918566972 0.952723846810731 1.60966520028833 5.17189298561477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04250177422967 0.952734527810807 1.60974225684282 5.17186029907812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04263185651768 0.952738176079749 1.61008019192833 5.17193566714779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04353333190867 0.952980713475844 1.6120786734474 5.17342172227333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04439794697672 0.953865895849112 1.61557002449869 5.18056580349182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.888764641176035 0.89591541196658 1.51970845655379 4.32019316337863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.88880191265684 0.895886740120145 1.51975611755166 4.32001694095521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.888820019603822 0.895888805019596 1.51978840488393 4.3201517856701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.888861497665979 0.895881294044752 1.51990598740915 4.3203213117605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.88907716889622 0.895894418956283 1.52047607425784 4.32068988577779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.889266022643936 0.895930327269097 1.5211902384579 4.32118837409344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.888780321867125 0.896014665165847 1.5198802854908 4.32101159099397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.888808649106613 0.896081100260473 1.52011710491482 4.32142159818013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.888872818210817 0.89620248234457 1.52067322216905 4.32227126909146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.889413150881958 0.897008291477956 1.52354453964511 4.32746439602683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.88997926247941 0.898001485631936 1.5266965534045 4.33405826226031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501398836420347 0.58831196074843 0.315461180186979 1.17432623387687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501429066326888 0.58831328261759 0.315503986098779 1.17436416363089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501477257728755 0.588311810841889 0.315551816006033 1.17435812498054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501543393024567 0.588329833867915 0.315624622093167 1.17446929502225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501885502769076 0.588377968447357 0.316023775606986 1.17483207737502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.502225020962116 0.588447691022421 0.316406696698675 1.17531386904437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501434920532495 0.588221878505441 0.315465609341827 1.17394399762134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.50147457847642 0.588164893730266 0.315486845939633 1.17372908060933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501539611883021 0.588050102702227 0.315559169166766 1.17327748949231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.501947953075498 0.587539530554843 0.316214784045033 1.17134956000491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.502314842078602 0.586635819115162 0.316885109236432 1.16821947122765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468840477439946 0.687747726698041 0.342899925485281 1.8131291097436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468867524415524 0.68774933461327 0.342904885767133 1.81304049547874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468891616975647 0.687723168936108 0.342916783610389 1.81279256904863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.46891837039474 0.687738585285301 0.342908098230228 1.81262215755913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.469142493331148 0.687812290080495 0.342871744562714 1.81214842671365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.4695885678219 0.687892161215942 0.343078489182282 1.81168250771849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468868932215206 0.687749678837329 0.342932100948893 1.81324049249252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468833985644007 0.68773846467237 0.342913922371202 1.81337530423936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468871024325951 0.68770424077185 0.342948380608407 1.81353415094019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.469354400510635 0.687986699448237 0.343223556755902 1.81568898465627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.470353874380135 0.688331640803042 0.34375957113393 1.81830417968363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405808987464012 0.387154015079427 0.705532370865353 0.798128294643444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405793006833159 0.387128297312185 0.705532077142138 0.798033906779707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405766538360704 0.387106048450161 0.705506436983016 0.797960563673861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405734270109354 0.387119948144084 0.705488116005642 0.798004766481181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405602075457158 0.386932065753697 0.705447519529283 0.797533592554497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405345031015279 0.386667848217512 0.705426566938906 0.796830861801238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.40579498345131 0.387214732829463 0.705614112056723 0.798278401846747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405729407224557 0.387297861726243 0.705581071148595 0.798535258837263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405616092160812 0.387300253331461 0.705449206187979 0.7986010768226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405370615645008 0.387618440982072 0.705046099004913 0.799450128720988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.404836355723443 0.388199291296187 0.704659138682748 0.800722286920405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540395262892425 0.512229578384535 0.831245693936531 1.60802441533219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540353544580508 0.512072757672598 0.831085515855845 1.60738135782487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540268589143209 0.51193883930227 0.830851465956137 1.60679028721567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540274289976768 0.511726613054357 0.830687377603967 1.60586993458756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540960128721921 0.510687607568012 0.829579203667352 1.60154579988791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540308990914608 0.509235010766576 0.828648887686961 1.59472700998114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540502497155233 0.512076017046044 0.831245999822368 1.60772470618553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540665771541913 0.512000546504486 0.831246321862169 1.60765375441313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.540783196947145 0.511985429805882 0.831268669421974 1.60818059476858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.542749017832656 0.511113227112061 0.830593071696589 1.60728809894603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.543890733513519 0.51155473753588 0.830230068103205 1.6116377366611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408397214978026 0.653487388879967 0.258135136858233 1.97684650927835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408362207052684 0.653468091627432 0.258143400729749 1.97674600748637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408338243526269 0.653492227203501 0.258151180768965 1.97687440978346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408339382347069 0.653498791741296 0.258180056647599 1.97690559389862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408345429858142 0.653362583908689 0.258235100742276 1.97626194775857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408240712952355 0.653340055325636 0.258281750225106 1.97637039160009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408457451438817 0.653276417048957 0.258223164676243 1.97553935410439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408535915128662 0.653261908786672 0.258406054739925 1.97528916745335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408650485796136 0.652808385565698 0.258636197232846 1.97261254182647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.409268220721712 0.651429123532609 0.259839551567545 1.96423635794057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.410134685830411 0.650456915303415 0.261693919089629 1.95825600953142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786200466847272 0.818298983304364 2.04342054455196 3.37354679835549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786202792856918 0.818289718605486 2.04326666870681 3.3735321924899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786235172560236 0.818276157470524 2.04320340170112 3.37352516514262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786239173472911 0.818256900709235 2.0429638516966 3.37357849689124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786292177785952 0.818184681253944 2.04221331566683 3.37407510889128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786303747860824 0.818070032306628 2.04124694658993 3.37433982350482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786283613755701 0.818215595634548 2.04346275801656 3.37348037446356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786384859653252 0.818164296944121 2.04332947717787 3.3738859318108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.786643404985576 0.817931044948122 2.04352539322094 3.37398496485188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.787977899800606 0.817173899491621 2.04487233959879 3.37628414437033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.789279620472506 0.816103662039351 2.04655185635115 3.3789560285159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432632129220462 0.623258772855415 0.199010372168828 1.18300921335935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432634692952826 0.623223892456103 0.199013017365048 1.18283662220421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432647072175912 0.623215034319103 0.19901567307018 1.18276451937402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432690079297788 0.623172840219286 0.199034592548568 1.18244841237009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432927122837383 0.623206876328948 0.199233099964983 1.18205877227439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.43319905696516 0.623307257004092 0.199462021573339 1.18197125078249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432608786749865 0.623417581738012 0.1989475073294 1.18350044407835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432526128347343 0.623573221854556 0.198906146668885 1.18400523182172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432489784813607 0.623913820351276 0.198865973731237 1.18492838451999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432650181008938 0.62536591654496 0.199157261994648 1.18888489246679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432855883271125 0.626963937506502 0.199877665740189 1.19316004562162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105944880246518 0.100289690448288 0.0233526388145437 0.0447232120917044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105957768886872 0.100252765348907 0.0233678434871502 0.0446766766461319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105944996279747 0.100205238617939 0.0233780147536316 0.0446324881073223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105935546414125 0.100131332550082 0.0233969962517449 0.0445432189256926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10589987322466 0.099863621388845 0.0235085822981595 0.0442343809845239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105945336501129 0.0995838889417566 0.0236735871819131 0.0438783878405722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106020869018268 0.100171732166996 0.0233424581732069 0.0446309646320108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106067328530923 0.100061201072251 0.0233106291967895 0.0445742050852569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106235840904982 0.0998665434004393 0.0232848304842718 0.0444592581384953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107147917761484 0.0992300427894889 0.0233397933801382 0.0440798337816095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108428846831511 0.0992661636161278 0.0234805039659597 0.0442175339011188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0876658540982806 0.0793474826092638 0.0302972918182045 0.0418387866123568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0876005277075845 0.0792936013497981 0.0302954730466747 0.0418034682470304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0875732744472318 0.0793050718709217 0.0303133730320671 0.0418245407294827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0875037900615092 0.0793063404079674 0.0303271699719875 0.0418381830375306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0870337394082592 0.0791456823732782 0.0302508445425178 0.0417307735044109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.086818958013988 0.0792429123332571 0.0303351554466099 0.0418456522759982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0876618106216549 0.0793805012560696 0.0303041881939033 0.0418783630811808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0877222818599282 0.079508577325096 0.0303214608719464 0.0419630759842122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0878579874164703 0.0797297865784675 0.0303631368011568 0.042161428853114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0880092692254035 0.0802887842767913 0.0303986320502704 0.0424965744033023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0884987476526523 0.0814955347052937 0.0306234705212599 0.0434149560049027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49966236001686 0.959589266916117 2.70933980568602 5.06702037166556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49966593905449 0.959521788190468 2.7093064118725 5.06670157406383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49970471404929 0.95948448975694 2.70926827175747 5.06652309107973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49973023613409 0.959438146112907 2.70917461364287 5.06663330069388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49975335284224 0.959419537848814 2.70915206705775 5.06741540492541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49975016168001 0.95923187204342 2.70928611152158 5.06753800715005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49925429121619 0.959772983147468 2.70952909063831 5.06838976723803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.4988839908849 0.960111765092583 2.70958157751238 5.07078086737333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49889203297595 0.96013612903616 2.70932731245957 5.07157270938076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49890768210537 0.96056473551839 2.70815592620853 5.07798464633025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.49871718912921 0.96138592766092 2.70682310020913 5.08845644643431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0279317757171855 0.0233180973071603 0.000749887387519534 0.00267101534062322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0279656732632994 0.0233137543137972 0.000752903565300072 0.00267166119646887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0280471960665551 0.0233278761497366 0.00076304591993893 0.00267458479333216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0281425335695378 0.023357318687823 0.000778270114608988 0.0026801369190928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0284111399646387 0.0235355348020754 0.000830311758625713 0.00272168386205174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0287084464602064 0.023852448865609 0.000904910836781575 0.00278057700993699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0280726204044086 0.0234213721176245 0.000746530917908117 0.00268914472083834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0281697811920873 0.0235528000765018 0.000744728708619391 0.00270816596268011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0282771683271811 0.0240057934673894 0.000748346827794869 0.0027838540415707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0289839466556781 0.0259170522761541 0.000838244802848647 0.00312181069077582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0305289476952209 0.0283063378005292 0.00104414878151127 0.0035859681387068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0987874815252099 0.343741364275819 0.0214187771951332 0.44876417602378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0989345937413802 0.343931940834595 0.0214365021121164 0.449094593192848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0991330495967028 0.344129282868366 0.0214384949847635 0.449675707293554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.099526001942027 0.344186919266373 0.0214353132404638 0.449946500980437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101122816432871 0.343729535179141 0.0213566204713895 0.448769752282232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103188285270323 0.34464439965668 0.021650804822862 0.449101282962331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0988002745784269 0.3448510106247 0.0213956174548403 0.45187206755354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0988762077905185 0.34580421719823 0.0215833014728796 0.453992622158745 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0994087766821194 0.348489136176527 0.0220205754219539 0.460496672713652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104718985851791 0.359993177435731 0.0247873548690922 0.490494968396959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.111183160095181 0.372239225832201 0.0284074555902311 0.525014171357834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622933623327313 1.01810026231427 0.558600006409263 4.53597141287791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.623062754593217 1.01859119208312 0.559002304675011 4.53676785790885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.623167260277946 1.01870517179535 0.558946919266685 4.53718774843265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622625336334779 1.01847927283287 0.558124081941936 4.53685053658851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622729205811777 1.01822399795755 0.55651823809311 4.53687226907647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622219827472766 1.01825355080624 0.554284407415363 4.53831277899224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622810970779801 1.01825564294005 0.55801575383923 4.53621010983463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.622791273762245 1.01834830324957 0.557303798634214 4.53588497130448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621040772259113 1.01843797363017 0.554547238090717 4.53547034529044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.621781817641172 1.01986896836459 0.54915959623737 4.53762029946271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.61993933502061 1.02016458157408 0.540521857638632 4.5394616774724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.824331239697416 1.63005778606219 0.233437493378369 0.331772792855128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.826091537450225 1.62938496302848 0.232755230619644 0.332330220012476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.827311686326629 1.62989235628691 0.232496763903409 0.332681823116859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.829607309922134 1.62878526078129 0.231259336227217 0.334133197171375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.82448968351764 1.56393831134309 0.213109821627039 0.354131802580713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.828282520596293 1.56384884505096 0.209370899099667 0.361103200217293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.830829436326629 1.64131650235433 0.231902473225172 0.34057352317307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.833480352056966 1.64903340684871 0.231555300268999 0.343114517386399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.85066150606761 1.71581092932062 0.240823086071848 0.330459220724575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.895597615618173 1.7790550585341 0.229731840889412 0.346942504582095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.93517096393278 1.91241578887118 0.237204629818927 0.350676487876062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100746622986885 0.497088618569002 0.0156588739534599 0.911426812132689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100960228448468 0.496798147902577 0.0156550444388595 0.909701567179624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101639369081675 0.496467067211597 0.0156035702207813 0.907848377048068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101910335305893 0.495464281519342 0.0154717556931803 0.903107945195791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105048124521661 0.492879191696299 0.0153924201338671 0.888890826121881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108078275044468 0.490941976246913 0.0153380610840187 0.877153241924518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101603334355732 0.497224578446587 0.0159601376607277 0.912444737201445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102349195968408 0.497276315728786 0.0163092639701643 0.91375827013001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105896439511105 0.498382830642238 0.0175512463978433 0.920405809586576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.138297696808585 0.500679361890903 0.0298876182190203 0.937526444341017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19813370911183 0.51146991479382 0.0623415571374589 0.990977009548898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.300441379742955 1.12988694721741 0.587093011232404 5.17188944157574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.300446551229627 1.12997359530093 0.587220109079106 5.17293004950081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.300371607505679 1.13004339448964 0.587333361935329 5.17409337196132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.300341135635156 1.13019585067829 0.587622446812679 5.17629666193537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.299744101939939 1.13100594782256 0.588205299028719 5.1885736286661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.299484044806659 1.13187844983721 0.589529505102053 5.20110835210046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.30026335830241 1.12978617129999 0.586577650331064 5.17316860152438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.300089423961919 1.12964202804231 0.586201031589832 5.17353376604571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.29957645354193 1.1295581402813 0.585227055648212 5.17686671428588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297612694025186 1.13071883592625 0.583746552990568 5.20477129460505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.295235796876134 1.13266217212057 0.584273523654484 5.24199940168596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200412942923195 0.233417868952549 0.0631880517250944 0.195306004600572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200244869003665 0.233306412155506 0.0630762308364341 0.195172085422031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200098278912151 0.233214013341245 0.0629985545492805 0.194993941653315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19986478857368 0.232786139349421 0.0627831880812806 0.194434989665727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198759708899992 0.232360894877365 0.0620758835451584 0.194045572769033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197625442616811 0.230837874422479 0.0613600770310217 0.191868663030457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200499827790311 0.233594314971547 0.0632437166316015 0.195719684236941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200479287330241 0.233721021921521 0.0632589902632502 0.196085474785177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200460879106981 0.234025385707255 0.0633333984294842 0.196716339371716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200909866856783 0.234960806226137 0.0646088695053695 0.197813494160187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.202102244601276 0.235908482957827 0.0655020382749217 0.200450335883432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.288571796385543 0.741495818651529 0.313857735429274 2.81068982237098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.2885860333799 0.741546280543826 0.313817719117903 2.81249605834985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.288503680571765 0.741653209533075 0.313522108390942 2.81336433872316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.288482223630371 0.741295133141746 0.313169828219907 2.81401315048183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.28816383980894 0.742018192560656 0.311917561126533 2.82205508678185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.288101628192315 0.742970746668524 0.311089478136744 2.83087705446639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.28879002720314 0.741935430277857 0.314252651530421 2.81612803445871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.288896906328172 0.742565677048341 0.314571758214413 2.82173575954224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289286038949571 0.743240278047358 0.315273095427047 2.83190835638658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.290718546532436 0.746727786936206 0.318006877767824 2.8728215803725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.292912942535365 0.750971349262816 0.322521432325786 2.92182373176164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.355459692164883 0.433904702982556 0.151525201629581 0.747622605210328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.355409999129866 0.433743491709417 0.151582414456145 0.747289602602891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.355326289439186 0.4336506231604 0.151607772524838 0.747164209356282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.355198597166941 0.433753387371763 0.151713194956081 0.747700069135656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.354858309683688 0.434085941833134 0.152029876182851 0.749511811457672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.354571683536519 0.434661085360876 0.152701868631768 0.75196045431165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.355290554480884 0.434145892015614 0.151554702635397 0.748369648977571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.355126049003459 0.434474870525305 0.151558751155774 0.749459077480603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.354953435489867 0.434351503676612 0.151845355024689 0.749469610512095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.354178022452568 0.436592926405366 0.152243462454041 0.756446782416319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.354988609553736 0.437348115378928 0.153179282675204 0.758993410589054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806659832956049 0.97188029283348 2.71990025653675 3.82277680449827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806630623150142 0.971841675453119 2.71977132674086 3.82290373886329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806558200603936 0.971675364521306 2.7194781463326 3.82281223322262 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806524476756157 0.971544339125181 2.71946331999807 3.82274866457007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806345480613383 0.970786219864478 2.71886370343743 3.82271240867303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806477108406517 0.970079709081356 2.718807804535 3.82352519861366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806657522904297 0.971749798128014 2.72014656369113 3.8232350417812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806603437071561 0.971625484567804 2.71981310732306 3.82365143705341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806361876820126 0.9713033749404 2.71907879179148 3.82495253761113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.807534669096951 0.970424812717812 2.72129881385005 3.83362392971043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.809522475019538 0.970096173843723 2.73048168147817 3.84764824148633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.134131119784864 0.629103687432409 0.0771146144060662 0.495772674327757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13351975153577 0.628839878326978 0.0762066231078249 0.495785060175097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132947355797688 0.628800109750278 0.0753481970658817 0.496058334484446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13185871049172 0.629054159271044 0.0737264245657155 0.497586220899709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.128216422992157 0.629126839682953 0.0679380884660192 0.499551605601687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124909987550256 0.629069652362043 0.0625655772169277 0.504553981865524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13502747714401 0.630660383974546 0.0777670718813598 0.497359123069735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136660003836223 0.632172453463363 0.0794457457651873 0.499130507645614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14000684011905 0.636858551975251 0.0823959220443683 0.503959268454621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.161263921659057 0.645627404163394 0.106408419062715 0.520052275023031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.192381766719491 0.647544189643637 0.14882364486058 0.534893455435535 NURBSSource NURBSSource 18 180 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.324068791303509 0.0589289719991879 0.24666623212559 0.0157500649747517 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.323913541741334 0.0585516350418508 0.246485603381471 0.0155635510355019 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.323726531727028 0.0584746479173872 0.246266261177051 0.0155141396153532 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.322994661913008 0.0580259482523345 0.245587802119888 0.0152936450830201 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.324038185756488 0.0574535283199187 0.246083713435196 0.0150003346696523 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.323713033702193 0.0561726870999845 0.245631946202382 0.01434094615032 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.323378517010395 0.0587721351354164 0.246268131103786 0.0156593664311218 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.322710491259322 0.0588943800086051 0.245734491098834 0.0157215464553259 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.321716794557826 0.0589822980197566 0.245201540993656 0.0156795988405229 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.321929876586163 0.0601454435170097 0.24456989916292 0.0159954250772329 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.323345223800655 0.0629218844272317 0.246995096794425 0.0170538049919872 NURBSSource NURBSSource 18 181 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237783533061115 0.0389724042735334 0.0108662629915614 0.00161069078979115 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.238166416202878 0.0388249145541875 0.0109472643814888 0.00162113790391737 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.238624611605177 0.0384515620920213 0.0110250769099528 0.00162357211144528 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.239215261107844 0.0382017887436683 0.0111671372833072 0.00166599898738745 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.2427269311197 0.0382580406648596 0.011892912534405 0.00203463699119723 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.245709756455593 0.0407549784540942 0.0126164861346791 0.0027736325991819 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.236951261088178 0.0380563016509171 0.0106410412208658 0.00152774545308954 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.235976287843497 0.0373206321524664 0.0104623967127804 0.00145782857970761 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.234738503341124 0.0358149264751919 0.0100893070985458 0.00135461504990773 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231861959123104 0.0359283458330232 0.00946473538236689 0.00164556180099546 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.233389969623508 0.0452246088488804 0.0103578127155026 0.0034491302281345 NURBSSource NURBSSource 18 182 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218168011316868 0.186564379008005 0.0528151898988824 0.12789106995698 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218404813151731 0.186465739460047 0.052914866436805 0.127837374893 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218764881041639 0.186300711937111 0.0530033838237818 0.127623904548654 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219173310399437 0.18630915475946 0.0532835505821803 0.127735731478437 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.221320693605605 0.186024857731108 0.0544659437743378 0.127612955738908 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.224092368768171 0.185978706076686 0.0561885725807653 0.127978022858692 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.217691846584463 0.185054676363132 0.0526048629268819 0.124887587159328 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.217608092907992 0.185188771529291 0.0524730357519931 0.125260930928294 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.217362484261071 0.185178809973184 0.0523145710513815 0.125717956778573 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215921083158678 0.186211347000147 0.0511356045292855 0.129287846523655 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215343287061684 0.187043555423268 0.0507657500874376 0.132587959362415 NURBSSource NURBSSource 18 183 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0796295243940149 0.0497907681002122 0.00731708622318907 0.00909497163598093 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0796405836514014 0.0497706547347774 0.00731957938956697 0.00908146035041847 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0796662093198506 0.0499110119559311 0.00733209727568517 0.00912590417283123 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.079720520725067 0.0501184287924061 0.0073918882086535 0.00919111291193782 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0801866972324828 0.051061077792824 0.00758869477785167 0.00947490250421602 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0804358712364028 0.0514780887034326 0.00758915409044355 0.00960551235150712 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0798561962459474 0.049694764882036 0.00727600387937905 0.00904043308869705 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799622991365754 0.0496784481233158 0.00723914636800357 0.00901232494062104 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0801079163563023 0.0495776082842717 0.00715950635294788 0.00893807830405074 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0820691621959422 0.0511053115652575 0.00708773414976123 0.00921206666032638 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0846586206153076 0.0535657980580269 0.00734039199388768 0.00974993099966325 NURBSSource NURBSSource 18 184 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0720073846452235 0.0550699442833449 0.0102237027590033 0.0104249525702505 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0719814939324567 0.0550350341693097 0.0102206512683527 0.0104098251040096 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0720813783490935 0.0549930436150972 0.0102397128872685 0.0104038341912465 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0721528117831351 0.054908350665798 0.0102786358843807 0.0104034044449728 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0727592944661999 0.0549610553491714 0.0104564581742489 0.0104346107147138 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.073326794176176 0.0551041119839358 0.0105888063249285 0.0104446158784613 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0720964727074761 0.0560787529822344 0.0102698641567608 0.0113383183404691 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0719975632269375 0.0562264220417804 0.0102134945477729 0.0113829043385386 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0718351717978697 0.0563996405067684 0.0100516717885077 0.0114233581812602 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0721984079226901 0.0581213628440622 0.00987162968236447 0.0118253122515666 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0728782551791368 0.0594908761268362 0.00971173853781239 0.0111264086132327 NURBSSource NURBSSource 18 185 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168457100050381 0.0351253704827357 0.0225019390923497 0.00420619270185396 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168510754009325 0.0350741061375195 0.0225200550914447 0.00419831033642022 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168741839744317 0.0351550357725038 0.0225396438832833 0.00422606760928312 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168845098895122 0.0350786946901748 0.0225859216620387 0.00421991051952038 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169217760772347 0.0354682162219197 0.0226854423896332 0.00428279684552535 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169310546636215 0.0359212216394647 0.022752247423801 0.00437717296193728 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169017152612273 0.0351155259840785 0.0226244994650973 0.004227879130249 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169337368288344 0.0353725340476906 0.0226819195599504 0.00428057578277358 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169955730331421 0.035624206044737 0.0228385311325558 0.00435428515209862 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172324572215895 0.0384304760771985 0.0232451721766711 0.00490631346719843 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.175873973268036 0.042513987506913 0.0244633367248012 0.0059289510719432 NURBSSource NURBSSource 18 186 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152799416849169 0.0564133135545795 0.0085989483096431 0.0144378681505536 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153058287635686 0.056341323383984 0.00859186642695029 0.0143977228722763 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153196925276135 0.0563532561362005 0.00859910511597328 0.0144092952543402 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153462738478382 0.0564193614853643 0.00854922127503343 0.014440175564897 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.154364539347455 0.056176366103641 0.00822340148543593 0.0142872656905609 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155910023081543 0.0571356058790041 0.00828430633311418 0.0147334970482089 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152706832579506 0.0561589358136138 0.00861850849194091 0.0142930654090423 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151806169683396 0.0556119956464142 0.00842881206142464 0.0140140272517307 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151406458791603 0.0556548230482922 0.00848090097843647 0.013923575561499 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151010908604297 0.0572079082479266 0.0097533761389207 0.0140862631485208 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152007172782147 0.0603848209571859 0.0116760668669408 0.0147524021771726 NURBSSource NURBSSource 18 187 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0867439652862033 0.283681939817407 0.0019637289944124 0.480027263868594 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0866213329565677 0.283443612965619 0.00196729431173155 0.479395982948943 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0866618099771699 0.283271075159168 0.0019667690995449 0.479168642980375 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0867051570453157 0.28251324068775 0.00196517859153344 0.477434945800914 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0862512331150463 0.282060341641765 0.00199036551396001 0.477265552145366 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.08597113842955 0.280787104603959 0.00201819983541019 0.474472144305736 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0869210984082317 0.283905013038663 0.00197697699889245 0.479874118966054 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0870066166332714 0.284336992613518 0.00198838299899544 0.480391135054184 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0869726483289925 0.285692429879988 0.00200365883404501 0.48243996654001 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0877375910004885 0.290702659510801 0.00224800382570484 0.489659219799476 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0893476797539563 0.295960957414339 0.0026846546866603 0.498487222653244 NURBSSource NURBSSource 18 188 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.081500795081848 0.280635053965837 0.00885589634399512 0.426473874466535 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0812989694553903 0.27789635530044 0.00884982060836955 0.417389006256485 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813077807076589 0.277682756389369 0.00885720379777877 0.416565356311197 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813253578401452 0.27721835132881 0.00886171650136347 0.414722299800528 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0814062254173901 0.274512408881453 0.00897259995150127 0.405740852969025 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.081698062003397 0.272648223652035 0.00908077649250352 0.398646512222139 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0811466931705327 0.277282038057074 0.00867331491871432 0.415818800717856 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0809822413177422 0.276589842855998 0.00857534697310688 0.413472532494052 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0803239150380857 0.274663413613201 0.00830687666249709 0.407507687007017 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0793705334417015 0.264265654207012 0.00745563917800161 0.373966796846449 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0817867554806341 0.257125462698256 0.0071290771917343 0.349624286440698 NURBSSource NURBSSource 18 189 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0389640092552482 0.128968021013208 0.00138293123546084 0.056514583518001 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0390296581968102 0.128998190922417 0.00138290780147252 0.0564218637565288 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.039045426030792 0.128943183135354 0.00137272200911348 0.0563086535296052 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0388975431759784 0.128810525262781 0.00136816465845558 0.0562381721416695 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0389988621631836 0.128791822627027 0.00138398237167765 0.055905894053992 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0396591550281631 0.129216328025905 0.00144770542838748 0.0558970859891688 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0391010788797075 0.129525862178305 0.00141950519032749 0.0570347283633406 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0390428216133815 0.129537459600862 0.00143068213690404 0.0570532150562168 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0395464373174324 0.129619219250853 0.00147586069871703 0.0568221304799935 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0419652832920085 0.131251732631611 0.00196559243098633 0.0578771819592209 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.047591871947495 0.134173463210011 0.00309271088233431 0.0603378859905019 NURBSSource NURBSSource 19 190 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.302429461493014 0.0546279419086696 0.230972546010334 0.0132296215615653 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.302311376883929 0.0547623896698636 0.23064319281804 0.0133188494385121 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.302075223559642 0.0549540705629196 0.230395848670711 0.0134324924453137 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.301742788779228 0.0552924995806538 0.229941619541037 0.0136410139588994 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.300426156964869 0.0564834552621771 0.228104554669157 0.0142886053011171 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.299527146733247 0.0581109395129378 0.226681819269119 0.0152619802410197 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.302210098714348 0.0545768762980526 0.230682817442988 0.013231366561981 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.301835316219887 0.0546557812426963 0.230320308998506 0.0132842568688587 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.300554279453035 0.0546311577604143 0.228758732667959 0.0131608691569698 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.29601277543532 0.0548832274715847 0.222514321720389 0.0132872705244761 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.290909214016218 0.0585269294197481 0.216151721508769 0.0148294992318127 NURBSSource NURBSSource 19 191 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20444436993457 0.0306393675390319 0.00807374170207258 0.00156645540541631 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.203891485160908 0.0306964124656673 0.00805827703640364 0.00154513717270471 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.203263970757615 0.0306299730085976 0.00805372085518601 0.00151101872188036 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.202328941951031 0.030843966142788 0.00810195197573646 0.00146193235597158 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.199632601244707 0.0320144767657247 0.00839896013435238 0.00138216964809178 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.195934507773104 0.0338541959985996 0.00886327728604098 0.00138301408740306 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.203160078440554 0.029888105349918 0.00810452394762854 0.00157109672416301 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20126184585628 0.0289886362907785 0.00804835798843356 0.00159859508355863 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196491863889929 0.0280202765907837 0.00802281536809403 0.00171391945123531 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.176799034834603 0.0318948066233491 0.00804584276983421 0.00288411512324342 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.159521650070356 0.0419853426963036 0.00863371590525801 0.00532216369551932 NURBSSource NURBSSource 19 192 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197998799861183 0.198288821972099 0.0449160516684044 0.161355034009269 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197625351356199 0.198208878450504 0.0447552720349829 0.161237798171895 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197630211821316 0.198142640908976 0.0447798273655247 0.161103176199794 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197574867967495 0.197543518531082 0.0446779276564431 0.160094102803297 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196810870881703 0.196150120178932 0.0441465624318245 0.157822086388157 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196671650995393 0.194816291357763 0.043985975762872 0.155566191298873 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197577710160186 0.198648069480405 0.0447040350871627 0.16181848241578 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1969582410512 0.198978363500338 0.0445249060235893 0.162288373858734 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.195904219224944 0.199552727861894 0.0440050228110493 0.162904969023516 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189954203665418 0.201204744047646 0.041899197349552 0.163376770613507 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183337776138603 0.199254372276856 0.0402561919285895 0.153382723766445 NURBSSource NURBSSource 19 193 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0842017519236643 0.0401775409518072 0.00473725814036419 0.00584529168162856 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.084204223697858 0.0400660122004141 0.00473105834841208 0.00581559440023983 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0842678271924816 0.0399645428337775 0.00472366560485366 0.00578243108262851 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0844092357946321 0.0399318255048683 0.00471550688169951 0.00576468337250376 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0849942672814415 0.0393738144500001 0.00468629156829605 0.00560478810057321 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0857172906119638 0.0390269098316219 0.00468801277956353 0.00548910330939601 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.084354569824959 0.0405582638474172 0.00478572411060394 0.00594952442641194 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0843824110307803 0.0411294113825836 0.00484496745175393 0.0061222659382061 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0844289160652225 0.0421135158845387 0.00490040033541531 0.00639103366026331 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0850131534927864 0.0464219245285619 0.00547425378430774 0.0077016276875424 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0866973068785535 0.0525001134798321 0.00645088071827022 0.009701546803113 NURBSSource NURBSSource 19 194 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0712974695386672 0.0421765876569857 0.00767788329358674 0.00540003191813909 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0712352222432167 0.0421009709303954 0.00766548963631722 0.005396005383588 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710676764144759 0.0419809965061175 0.0076374615826884 0.00537952784410445 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0709665699534678 0.0419616633704014 0.00760125999516015 0.0053752438004477 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0701166115178569 0.0424184821074938 0.00746877208729698 0.00583514130973821 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0699383564122891 0.0425981280189005 0.00738597648082987 0.00591226689470409 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0712045084801566 0.0420838236126772 0.00771392511080521 0.00536394017751359 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710866070261998 0.0420931191009802 0.0077083990218408 0.00534025976407832 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0702172266765735 0.0425262662829523 0.00756058184043875 0.00533754905181703 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.069888033720242 0.0449984353025762 0.00740957804612918 0.00560621638687055 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0747988901457435 0.0497181303513803 0.00809080575469788 0.006305076673842 NURBSSource NURBSSource 19 195 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153916163242274 0.0299356463829227 0.016763304301246 0.00314500723443341 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153849454640591 0.0299446140573506 0.0168559452152106 0.00314561001695351 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153963335675167 0.0299215562125951 0.0168683365291524 0.0031448117736569 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153941107900628 0.0299875349524394 0.0168648868981765 0.00316854196084375 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.154439511976669 0.030400001677046 0.0169427859819548 0.00329188057923064 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.154945949463016 0.0309791706220476 0.0170476693949531 0.00341216245232975 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153252790223067 0.0300304744761472 0.0165572818936935 0.00317158228606021 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152404056894357 0.0300913378146051 0.0163075504104414 0.0031880934267299 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151058615440391 0.0305890550525612 0.0158969792795968 0.00328007568187139 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.145092251297155 0.0345331428654829 0.0142801913520759 0.00396353810612918 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.139353198305419 0.03988196076075 0.0134559964572007 0.00501018969341629 NURBSSource NURBSSource 19 196 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124314732102504 0.0396653476702508 0.00579004934248233 0.00669518243602197 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124331436252437 0.0394884859753494 0.0058074876481091 0.00662286267165355 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124366752182825 0.0392451978278673 0.00586320459401281 0.00653011489528031 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124536367099093 0.0389290670113525 0.00595730555898029 0.00641089108614091 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125071661157754 0.0382211236913598 0.00647625629210193 0.00606167072110079 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125980764264428 0.038000817791089 0.00714410947649769 0.00584433132830569 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125004063871809 0.0392196715897331 0.00585666303453345 0.00649954640680706 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125323362399252 0.0389459933985146 0.0059054990778488 0.00638272417488097 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12618744896126 0.0389326475655001 0.00606846850554312 0.00630097301303115 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.130763689788795 0.0409747851229415 0.00733404669263854 0.00642168521875927 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136974699353011 0.0474335251622603 0.00925961851886566 0.00778907286485924 NURBSSource NURBSSource 19 197 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0837774903745496 0.208419645519227 0.00170144368868776 0.226898596351346 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0838249733600871 0.208094975556183 0.00168962534627025 0.226532356738252 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0839172020235331 0.207909030306585 0.00168951458213494 0.226344533446708 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.083835820381021 0.207696246355254 0.00168148255305862 0.22649322224749 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0837245495992853 0.20628945208893 0.00168894042770762 0.226075069518108 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0838276746778645 0.205313325377023 0.00170088001962177 0.226318037208639 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0835801758584205 0.207735127716104 0.00172155346593686 0.225521450478168 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0834968094820504 0.206153497234224 0.00173462146624852 0.222791218324041 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0828657932375883 0.204492859594249 0.00177223525565998 0.219865624236105 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0818167375871918 0.196648380572252 0.00206315147286331 0.205129758989282 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.082073131338544 0.190389121826334 0.00253740174076625 0.192551491013996 NURBSSource NURBSSource 19 198 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.063020846209604 0.225863635049531 0.00470258219068275 0.277969088941419 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0631593701202979 0.225943744918631 0.00471049003707258 0.277848260327552 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0633539250653529 0.226270979350866 0.00470957127821086 0.278300982316795 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0637508957145816 0.226370267863885 0.00470465708750311 0.277946074749284 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0649300729962206 0.22576399981313 0.00472322432239217 0.273332526565244 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0667026191347936 0.22569084270548 0.00483146484060798 0.270916981959734 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0636113992318174 0.227915686318439 0.00474483158918576 0.28189940409479 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0644198664808341 0.229701738831089 0.00479839887680826 0.285351769305243 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0657060418860813 0.231855142244283 0.00493434788437086 0.288188913794819 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.074051416698357 0.249262740760946 0.00606628863202513 0.325327661229113 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0833288412020042 0.275814518303468 0.00793236900044959 0.391249647302363 NURBSSource NURBSSource 19 199 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0344159037941328 0.105020384227472 0.00165134912044565 0.0372125411797012 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.034383311816575 0.10496411633618 0.00165324425452128 0.0372163078908119 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.034350868415338 0.104982584480281 0.00165680756777491 0.0372249078356604 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.034415857629699 0.105054977823524 0.00168652749971866 0.0373102789095329 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0345771559603343 0.105501828659579 0.00179240122742876 0.0380487110976637 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0360443166933375 0.105935041936222 0.00197222623828405 0.0385155806357532 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.034521853134762 0.105375051642783 0.001662265366356 0.0374031833572289 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0343927747703115 0.105473398704683 0.00168037528972252 0.0375130366910364 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0347662883268223 0.106124194139183 0.0017320505468002 0.0380403996375208 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0381247566643401 0.109176435714235 0.00231030890515312 0.0405377041620172 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0445950045198676 0.112650283123693 0.00346670011885283 0.0433299063708274 NURBSSource NURBSSource 20 200 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.286828264380097 0.055772056637902 0.219379707465657 0.0135579196658495 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.286659621820988 0.0556985229064076 0.219174543395989 0.0135305982475641 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.286516171195118 0.0557021891094673 0.218767146572644 0.0135443595280275 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.286416666327246 0.0556778238603591 0.218427908871914 0.0135515319489928 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.285696357070664 0.0550198121961044 0.216972228518356 0.0133323387085127 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.283929668332727 0.0534790408210589 0.213067036711134 0.0126870970476856 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.285951455634662 0.0562954252652187 0.217515220315568 0.0137596174000908 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.285360936363022 0.0569722510783252 0.21589426406216 0.0140391041097031 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.285226990432704 0.0585965189611182 0.214327626213604 0.0147327641403472 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.279745636820556 0.0649928949585164 0.200821357988443 0.0176285224035953 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.279282090585982 0.0720656442284863 0.1971170747945 0.0209156735731261 NURBSSource NURBSSource 20 201 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205788557056791 0.0315133438751949 0.00812203126340519 0.00161602251201444 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205546933107211 0.0315009257036731 0.00808898912725881 0.00159351678346595 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205326481426539 0.031457223657666 0.00807146588458509 0.00159329850961912 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205137605320738 0.0313757945024418 0.00805748456922371 0.00162465512121563 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205040213940626 0.0319646453527765 0.00805868271981405 0.00167140315996916 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.204649705913317 0.0327054707594596 0.00829536725909502 0.00176596046773634 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206540380586203 0.0316734848255056 0.00828768371351563 0.00161210139999529 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207488538149228 0.0320255344658889 0.00846607668591998 0.00161711846228003 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208919276190329 0.033864951085579 0.0088027265959574 0.00175833271340527 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215157900530512 0.0426653533104177 0.0108799557066324 0.00256548901663315 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219815915409339 0.0542027823850223 0.013402597240408 0.00382804671460872 NURBSSource NURBSSource 20 202 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198791299063523 0.192073529719879 0.0449521144477687 0.146941366783454 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198721765279739 0.191689458773932 0.0449028753201436 0.146283292327032 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198621359874334 0.191374221884168 0.0449119838370331 0.145665639052294 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198355677441902 0.190833425524337 0.0448361327561667 0.144465780797452 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197792596801627 0.188104106173165 0.0445693525936367 0.139199045892152 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197694052719857 0.18573784964898 0.0445498520243266 0.134397066190376 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198286609874334 0.191689351768458 0.0448999740686976 0.145662169617529 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197855589343875 0.191610039023521 0.0449749264380988 0.144472480139607 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196628638249552 0.191003984505304 0.0449162555994892 0.141233936743423 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.192717871418829 0.193045357339833 0.044098614826555 0.132862642815067 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.186948452538333 0.203380711263422 0.0429412720303977 0.134090884778521 NURBSSource NURBSSource 20 203 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0835366660188612 0.0402518705987122 0.00432914072262032 0.00593832353186339 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0835746002654365 0.0401958921333061 0.00431541112681357 0.005903937248568 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0833211431887405 0.0402727324796684 0.00429074213934801 0.00592045195205262 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0832305895538107 0.040326750966307 0.00429774748206216 0.00593418010038863 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0826897942011737 0.0402897128757542 0.00430366514125066 0.00585750148558381 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0819388920071141 0.040763271407949 0.00442550561603055 0.00591774876222095 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0836456374088325 0.0406210259746369 0.00436805733356399 0.00604069284494975 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0837876694638135 0.0409767788046999 0.00441223095009238 0.00614074125759631 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0842525538364964 0.0418339928132191 0.00445641141290974 0.00641203452955016 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0863041655944221 0.0462969033075579 0.00505606165507591 0.00788561044061214 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0898981139429163 0.0527431140496205 0.0064986558153579 0.0101193859850556 NURBSSource NURBSSource 20 204 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0672664794840503 0.0404578967527331 0.00643133430413086 0.00483112088016454 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0673240093037451 0.0405253201864604 0.00644000660306319 0.00482290123720719 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.067379412743579 0.0405483846076435 0.00647008458911567 0.00480324760418796 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0676448524107079 0.0406970642306359 0.00654276050170442 0.00478579429050953 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.067936602715191 0.0413278471499792 0.00669708740918245 0.00472440331496838 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0687875877421091 0.042442442441307 0.00705466001413799 0.00480800169010756 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0671003688869162 0.0401332101813172 0.00636814940170555 0.00474969586352664 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0672104457160915 0.0401709613931013 0.00638868428931034 0.00478355846002317 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0677331231120912 0.0393520689941398 0.00643082479077418 0.00435079216473288 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0716469064573602 0.0404186891902784 0.00705577677029055 0.00462703984893614 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0778884530228591 0.044534145762546 0.00827507155281586 0.00550250582487556 NURBSSource NURBSSource 20 205 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151928049599238 0.0292986645279891 0.0161460193267113 0.00304532423182193 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151899571718787 0.029279056029691 0.016115916559454 0.00304974170028796 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151846816202635 0.0292019721350409 0.0160974105696015 0.00302987627141822 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151525229808077 0.029153951188094 0.0160114448344155 0.00301884214717713 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150423567973809 0.029087507886094 0.0156307290294284 0.0030202133927067 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14972093491973 0.0294783837215133 0.0153324019521866 0.00310092209789005 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152625399618769 0.0292838239217216 0.0164287335939484 0.00301876426033367 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15356551554442 0.0293764220208737 0.0167274652033969 0.00302509104821906 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.154884986854579 0.0296367407883361 0.0173030201576104 0.00305055268989165 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.160049201757883 0.032982913556113 0.0198588792411338 0.00346610607074475 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164942288173675 0.0378890923663248 0.0231989193353919 0.00416607030911535 NURBSSource NURBSSource 20 206 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126172312024795 0.0399747045485348 0.00572804443699486 0.00682556191579137 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126112520381502 0.0398380994694806 0.0057416537872652 0.00677630689525613 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126018236641975 0.039755869410555 0.00578503623567002 0.0067188826732985 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125949366275279 0.0393200564972631 0.00583186244256104 0.00655293694625063 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125627649559422 0.0380901180283781 0.00619241234600817 0.00607316733497151 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1257107161339 0.0377306376622835 0.00654830893142375 0.00585695223910166 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12596109501292 0.039932746222656 0.00575140443041605 0.00683011625953359 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126013499673631 0.0401144614627506 0.00582002208941236 0.00688851224533057 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125776174807865 0.0405457826023531 0.00599033135148313 0.0070528831912752 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125040363192045 0.0456308349712507 0.00701829683692789 0.00866041184423514 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125110558403083 0.0561952015583325 0.00888122993583063 0.0124866751219471 NURBSSource NURBSSource 20 207 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0846652727512669 0.192790817966376 0.00170612720674272 0.185112651430104 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.084663536432859 0.192796957269859 0.00171309237145264 0.185269694403062 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0845144203466233 0.192783350304684 0.0017230609931381 0.185355709955144 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0845382379253963 0.193157859130542 0.00173245944994897 0.186160391677592 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0845421577672932 0.190957294300626 0.00180775872497688 0.181373941961543 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0843486158176963 0.191753809080944 0.00189715389584635 0.183629749460876 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0844955613084807 0.191330240587356 0.00171370424440967 0.182091410461712 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0842160569155131 0.191772070382453 0.00172914142623098 0.184673447633524 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0838279969986931 0.188694979783633 0.00176448494246192 0.17824362683072 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0826181128696199 0.17745963461024 0.00215345621358618 0.1555130959764 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0839009933999668 0.172496515788762 0.0029523973823101 0.145867944826824 NURBSSource NURBSSource 20 208 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0620983896371379 0.208930267046975 0.00463011168561444 0.236010620283952 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0621098298964729 0.208909155929085 0.00460986149870522 0.235990128910235 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0621288138795621 0.208951135095751 0.00462117227187627 0.236158157120341 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0624864544698275 0.209343023192421 0.00463780941941197 0.237086507822986 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0634108236273418 0.210178551706624 0.00464276585748646 0.239287495567275 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0647851124085401 0.212641077402573 0.00476737331710806 0.245390756183334 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0626479241386457 0.210201797860575 0.00468216832343965 0.239114417737522 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0633011163980381 0.211491855283734 0.00475058195034022 0.242380863363145 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0640259137526684 0.214265767130844 0.00489509491997772 0.249037570402276 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0681699294700092 0.230293685553046 0.00575697576600116 0.288882217385598 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0719780231637038 0.244506382778332 0.00689341523960376 0.317828581827956 NURBSSource NURBSSource 20 209 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0337527547890494 0.105370591013904 0.00159059963315258 0.0375666650929462 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0336848427622301 0.105374975786377 0.00158043959467264 0.037640686623787 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0337879707022796 0.105513974101328 0.00158744798387249 0.0377554945662406 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.033943356708163 0.10570903690079 0.00159809683616157 0.0378633224774013 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0345496325510476 0.106297824439391 0.00161792616319474 0.0383001870109068 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0359730269090194 0.107101776951539 0.00175013090546829 0.038868724950622 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0339311992542307 0.105357374284599 0.00162708445246686 0.0375875303400283 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0337943954878869 0.105066372858572 0.00164730756580813 0.0375931648933278 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0343044311099339 0.105094311289787 0.00174942642131583 0.037609221381231 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0389832970176692 0.106906291074897 0.00256466880592816 0.0388488516815215 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0454297317761261 0.109336357042076 0.00399265053705284 0.0401650426277366 NURBSSource NURBSSource 21 210 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.336731661251338 0.184566754384963 0.316242026103959 0.176559251998683 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.337859671949334 0.185155106842801 0.319085403507822 0.177922254841976 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.339985962779832 0.185681334503771 0.324015114287758 0.179131836693566 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.342870187013372 0.186886123761258 0.330850366117427 0.181728827493994 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.351221048789382 0.191589815991636 0.349961742689369 0.191409634630273 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.356342790490147 0.195069668914988 0.359019875218454 0.199260968003266 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338407254338349 0.18571605291282 0.319388548038441 0.177803307936389 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338111710543388 0.18518314271278 0.317541680548397 0.176323701956505 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.335552364452802 0.184659342171577 0.309903465552117 0.174328092827416 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.357151319897112 0.183406017247028 0.331207162807092 0.168892874856456 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.382952554509643 0.179804947799579 0.37587736022726 0.160685531524511 NURBSSource NURBSSource 21 211 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.283535852733658 0.196243671009614 0.0295814312709039 0.145146377608942 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.282497755982189 0.196600279430912 0.0299880777962808 0.147514553584443 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.282848895903424 0.198639287551407 0.0321115488679645 0.153816894798727 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281487494643445 0.198180197714931 0.0335651227575884 0.155586123111861 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.275527356520856 0.202015242683113 0.0394143018162797 0.170899715810839 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.268479447976648 0.20921486868395 0.0406852309344152 0.189260803356705 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.288415549260457 0.199619093059671 0.0311235526456049 0.149311894722301 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.292175637389605 0.204617377807735 0.0317858780042802 0.154623645727732 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.298694517707716 0.2011728919867 0.0329044046018226 0.144602556233582 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.305891337352912 0.200987828535946 0.039542795711745 0.147651908595341 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.317116099074299 0.204655425296367 0.0657080288189909 0.165672605011668 NURBSSource NURBSSource 21 212 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269217283047336 0.41881581803316 0.0826055877925466 1.20013054610775 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269737530173773 0.418024683198631 0.0832138411967404 1.19799631954876 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.270236764369175 0.417383802451505 0.0839563074103069 1.19594619694156 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.271297755748485 0.416187938321971 0.0851632194279649 1.19272153335936 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.274213170494978 0.409466019413441 0.0899989108117973 1.17852510612699 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.277037620760552 0.402654175177583 0.0950110712907461 1.17371325522374 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.265593899291009 0.41947025967746 0.0805624522561243 1.19862132158279 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.259387633486412 0.420359707953321 0.0770543175588918 1.1983388441703 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.248506450377635 0.427451871909387 0.071263341043597 1.23392010630773 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.24841502236024 0.437622341103989 0.0755954204105225 1.24101852115509 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.236136868453902 0.448343130805584 0.0688383617379553 1.24268991677413 NURBSSource NURBSSource 21 213 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0893054137475346 0.104369648548609 0.00960254916440957 0.0391519904624391 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0888474594513726 0.104595501507561 0.00956315322031667 0.0392550557035636 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0885041880967505 0.104912121191609 0.00951561263316111 0.0394071502142179 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0875983741620493 0.105286689244288 0.00934743936386899 0.0395698018038356 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0848180583531571 0.107158833351182 0.00855296379218425 0.040550458054932 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0821780352999467 0.107722928403344 0.00728546846620369 0.0405202834456859 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0887186110116908 0.103399066075093 0.00960960649328133 0.0386007593775397 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0874798854393182 0.10240917107577 0.00940068484470212 0.0379385445535977 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0857633833530629 0.0999457080265184 0.00910819379441951 0.0365135457144727 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.090709785805378 0.090513685694153 0.0133774696352091 0.032117730854467 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0955605578033846 0.0816696732633927 0.0190953438561977 0.0279992941604605 NURBSSource NURBSSource 21 214 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0681258933605939 0.0825956525553478 0.00876340971139382 0.0303819991067241 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0679462571457909 0.0820000783345636 0.00878330851702849 0.0301204106554022 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0680011251558465 0.0814494087707011 0.00887181916989891 0.0298684426968473 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0686172990133536 0.0806726035156144 0.00915298343062107 0.0295294541864721 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0734751169409895 0.0791670455306849 0.0109045263550655 0.0288974600465643 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0768943370948097 0.078605235007082 0.0124216009141116 0.0291382780510988 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0695657796516656 0.0819855937480249 0.00960421159397334 0.0302297939775773 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0727777083206745 0.0815555618455188 0.0107111847894055 0.0301983298142661 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0786959506631973 0.0809595595073394 0.0128724550304874 0.0306522854509221 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0895623348993318 0.0820845655347486 0.0185439625727181 0.0330579322177809 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102582375367284 0.0875698795945325 0.0255596657262142 0.0360108582594246 NURBSSource NURBSSource 21 215 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.221162964060318 0.0761365594414822 0.045120505686554 0.0217232428479022 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.221591906166039 0.0765247997986984 0.0456853195163932 0.0219244259361839 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.221866718736844 0.076771014893244 0.0463785861800125 0.0221020456302065 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.223044060406533 0.077455281596322 0.0476417125902349 0.0224977718538121 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.227984900628384 0.0793283548644683 0.0517562136306502 0.0236508685504948 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.232248377879714 0.0814256394104614 0.0561381076975279 0.0251115302687684 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218177034622414 0.0751896766656327 0.043821780705975 0.0210912038256332 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215405217866434 0.07391563118132 0.042522764813624 0.0202578263983172 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.2106796061988 0.0725756914228458 0.0404711427732426 0.0193496431591472 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19115234607578 0.066163138148745 0.0323598304711698 0.0164905072554867 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.180790695745091 0.0737107080013595 0.0288321013793792 0.0186912939599167 NURBSSource NURBSSource 21 216 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.181366781862561 0.0978286669491007 0.0163127255635762 0.0455294655699279 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178963823447355 0.092149980335892 0.0163253878316182 0.0391883317646529 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.176388729006477 0.0911874090020442 0.015823525381418 0.0378464125884593 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.171443423905732 0.0928627067539353 0.0143684483759586 0.0387369440501913 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.155669409093234 0.100599224512673 0.0114268593013138 0.04493456418151 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.160607157171866 0.104785956589172 0.0137355364082057 0.0480602341204856 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178639969670492 0.092622068865466 0.0169392924594439 0.0401280195788588 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178495467402175 0.0959201537358829 0.0180801952914327 0.0440475532228926 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.173962157575978 0.0973582670006509 0.0184136513359365 0.0460344768773 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.166860407958096 0.0835124813270968 0.0246608099463079 0.0319446929363159 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.181349045421747 0.095534239467094 0.0368290067087619 0.0370061542333898 NURBSSource NURBSSource 21 217 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101407164508129 0.338286996974579 0.00273121350781422 0.670490390453817 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100878108077682 0.338122956816063 0.00272239071980424 0.67120438669912 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100579075269284 0.337630149981455 0.00272480775541099 0.670964943968906 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0995072957417244 0.336133157625896 0.00274442898353567 0.669003479997047 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0952451425900015 0.338995108207925 0.00278274789728213 0.689376655311968 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0946037390331518 0.331597783460984 0.00314975798290585 0.672656543514996 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101079962408391 0.339345525296803 0.00268895128923923 0.676849868885345 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100582165820465 0.339999320156942 0.00264010560575425 0.682140407566325 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0999932976878584 0.339738274172839 0.00253343602739546 0.683821134968861 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0984464339743874 0.346231097455617 0.00247189719332064 0.721636215754943 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0970417260174145 0.353632460123352 0.00320938194829278 0.75379038121305 NURBSSource NURBSSource 21 218 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10089018398287 0.245657507675536 0.00747900473071941 0.307980043554454 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100735037828538 0.247679714327894 0.00755731060856364 0.31389006969027 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1008340333775 0.24981200931959 0.00764349249090197 0.319580180952728 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100985620989146 0.254405774864802 0.00784410416060459 0.332444224359221 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107578779106462 0.294845107643417 0.00976726060544354 0.474739596940871 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106686240845035 0.341368718676773 0.00970947538902638 0.641044271389756 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0992526387931447 0.24768055659557 0.00736204471591971 0.313966225946851 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0977517190929385 0.249882666250317 0.00729635301877365 0.322438027472582 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0967821536765701 0.25314150751858 0.00728757846253547 0.335926823169694 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0886877440781647 0.267057302002233 0.00984718762113356 0.384411301426485 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.100649468889123 0.28240008313681 0.015333469111935 0.430574232446154 NURBSSource NURBSSource 21 219 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0833821900852681 0.154595255389017 0.00907146279712862 0.044019083997237 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0833182590167536 0.154022179659311 0.00898266087914276 0.0437381667686901 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0831609574647357 0.153406338561657 0.00888040352057741 0.0433953099299902 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0829376131408137 0.152171333013204 0.00867779066069899 0.0427709110490653 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0812964827364706 0.146105066324814 0.0078548778533093 0.0399543623092272 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0774982359074435 0.139810278535908 0.00718104856500265 0.0383470799458288 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0856061355011044 0.15628560625818 0.0097668402063726 0.0448561099710042 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0882870109790258 0.158688377101175 0.0106031873386422 0.0462593175482153 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0929482248289149 0.162434479265455 0.0121315922693343 0.0485529232062208 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.115447148059535 0.173865572977061 0.0221707922142337 0.0599381553489786 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.134412137172804 0.195575534666235 0.0322883677083537 0.0724198787242598 NURBSSource NURBSSource 22 220 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.417825717919563 0.0731150402788435 0.341327262631713 0.0271015477518278 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.417714881865494 0.0732069752745479 0.341177736046305 0.0271574037942047 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.417798378053822 0.0732336420425543 0.341162603863055 0.0271515155058971 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.417588000174674 0.0733371018750352 0.34071135297433 0.0272316269182379 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.417077701480216 0.0740044897607074 0.339300589941551 0.0275732831913378 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.415292626083802 0.0742772686949089 0.336401244860781 0.0276529424139874 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.418162262986936 0.073332963559232 0.341836962037755 0.0272479627275602 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.419112089456408 0.0735762749170681 0.343123316185584 0.0273363915965504 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.420042053152722 0.0737039993700591 0.344413299401775 0.0274123494823224 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.422452235343924 0.0753926758758352 0.348283853040837 0.028115227108083 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.426320706630835 0.0791286726804765 0.354058653376563 0.0298373501365322 NURBSSource NURBSSource 22 221 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.226385510827831 0.0849623723994443 0.0410907399764395 0.0358375923505668 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.226235635278159 0.0850414252774706 0.0410025513289168 0.0357177522222125 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.226230696022078 0.085023378434175 0.0409341493983042 0.0355381264065964 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.226410357913141 0.085280701111457 0.0409420683946622 0.0352948968513871 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.225832773896794 0.0864378683307285 0.0402274847878221 0.0347625192276662 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.226156435369211 0.0880290491399178 0.0405542319836808 0.0341575177582334 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.226933331561312 0.084491005014463 0.041193410887326 0.0352713097875191 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.227719020239451 0.0842389973929817 0.041378330785872 0.0348384416385041 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.228468892558459 0.0838801173854466 0.0417600113653025 0.0345947943782776 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.235138137611783 0.082049857519652 0.0437134863718167 0.0312896691671114 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.244615228664729 0.0821482244502128 0.0467498601684278 0.028483564677149 NURBSSource NURBSSource 22 222 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206236064362763 0.475095379009545 0.0860842414033221 1.40109043207389 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206461318173113 0.47499616872104 0.0864426960450051 1.40119433828817 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20658465074761 0.474856088246068 0.0867514187476859 1.4009407789228 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206589362416291 0.474578889781259 0.0869863078271475 1.40129434577498 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207711835648256 0.474140293315585 0.0903368484450264 1.40187130783232 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.2085060163392 0.473593169299801 0.0932318289254569 1.40400771102324 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206797165849934 0.474399680840225 0.0862466812980306 1.39826900054735 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207177042771369 0.473439059493128 0.0861739455554758 1.3937438964891 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207829523830028 0.472629700267875 0.0863069825187992 1.39259705487496 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21236963931052 0.464832920953882 0.0891009539458248 1.35264578493325 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216791590910994 0.456966980781006 0.0913110726891066 1.31220869031079 NURBSSource NURBSSource 22 223 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0951121998016454 0.0797077279883434 0.0180488036740955 0.0275751921216679 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0950468323928959 0.079679107940875 0.0180764862435625 0.0275871863334423 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0949850461151696 0.0794845150468537 0.0180319515845231 0.0274343902898917 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0948601511586307 0.0794712121456778 0.0180319795010228 0.0274907643780979 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.094405486661539 0.0795527295840705 0.0180964620391273 0.027771309906989 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0937093301786252 0.079677504325007 0.018167413219412 0.0281195318388294 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0951713596529585 0.0797853653230909 0.0180256683945467 0.0276689644500821 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.095363437744383 0.079961888879111 0.0182229716568588 0.0278169310146127 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0957890000051893 0.080440269934096 0.0185810356524608 0.0281834000919803 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0979139858325938 0.0820560591312348 0.0202455408790316 0.0294368733529081 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101175342018607 0.0843869234802275 0.022613790081795 0.0312616795787464 NURBSSource NURBSSource 22 224 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125082624301069 0.132643842742126 0.0512678627473804 0.154519794363277 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125229963433219 0.132747568109305 0.0514068956027657 0.154807272781366 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125272586985865 0.132848809310374 0.0514721918400478 0.155047324992391 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125331366525547 0.1330851909247 0.0515870634540449 0.155578089544139 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125494309589897 0.133812738991395 0.0517933469025735 0.157685021615794 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125473416410184 0.13462118049201 0.0519725977020841 0.1596274573165 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125124026405036 0.132394431734574 0.0510464835180773 0.153708113428093 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124908314457961 0.132099048438961 0.0505766591191383 0.152628116820075 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124644581213452 0.130948623214065 0.0495460603706967 0.147911051032313 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124899989537673 0.129433363310499 0.0472179194740432 0.138434291127549 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124943346967376 0.127867967122005 0.0449388284551724 0.127169668473284 NURBSSource NURBSSource 22 225 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200969995532981 0.0658221707333283 0.0532454148158507 0.0189808511859169 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200791834019765 0.0658420895040424 0.0531567219487158 0.0189767486555086 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200581246680231 0.0658805280937675 0.0531073842169538 0.019003948912638 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200262656656976 0.065983072177557 0.0529094185070966 0.0190666366096297 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198404367954601 0.066122228412809 0.0523064362244162 0.0191942010464841 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196553562357144 0.0658907521520862 0.0516285747670684 0.0191118917760462 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.200678047171755 0.0654905571452957 0.0531815318051109 0.0184790289014789 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20024424058371 0.0650654227981152 0.0531309711432581 0.0180206565435702 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.198867414131225 0.0640478292145737 0.052732108102614 0.0169067917117095 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.195171073929603 0.0621066178408154 0.0525539004461963 0.0138531220243429 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1927017559177 0.0620432673895969 0.0533903755303065 0.0122928522350872 NURBSSource NURBSSource 22 226 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163585022796878 0.0741737495031487 0.0242359040794708 0.0259073465372217 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163552567584073 0.0741589281126096 0.024235727174808 0.0258907011048026 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163675024305334 0.0741087181112692 0.0242942870633104 0.0258592458782223 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163367527129625 0.0740924655427285 0.0242168897031961 0.0258528246460335 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163530334302121 0.0739126777006113 0.0241417435157923 0.0257155329664965 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163719533808217 0.0735481464279088 0.0241240037872385 0.025451496924943 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163183208295602 0.0748613618460305 0.0241291842838457 0.0264998293127515 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.162852211029028 0.0755218548345447 0.0239924408450228 0.027056257802949 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1627590221389 0.0766884461362376 0.023985476236628 0.0281332112679676 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.160195566756677 0.0834867659807006 0.0230531632490739 0.0341515595511229 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.158172684577165 0.0914775323599946 0.0227346202260674 0.0412973176021292 NURBSSource NURBSSource 22 227 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0783421500246158 0.514455204561439 0.00500671630003084 1.5601172724125 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0784476942407097 0.514735681436678 0.00502603655912481 1.56200292534596 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0784987152816317 0.514809159381671 0.00504344230423733 1.56252721159578 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0785069479343311 0.515192719310949 0.00503480286447543 1.56476573207377 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0784659001481003 0.516983121695796 0.00512330297383372 1.57728175675841 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0785799416572172 0.517547247979666 0.00523236670280716 1.58208229536712 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.07862459121082 0.515266749433805 0.00507425412304104 1.56327011384637 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0787840951833021 0.515994562877692 0.0051422349500075 1.5656023973275 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0789630649224754 0.515848729550205 0.00526147436127942 1.55953760423453 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0816512389014127 0.520424668009189 0.0063544486801991 1.56946863627878 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0834047861769023 0.524794155009914 0.00761342302920029 1.57829920784047 NURBSSource NURBSSource 22 228 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0869498729091625 0.608444412380631 0.0112317734357941 2.33369408452016 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0868672109250628 0.608993599383838 0.0112115244760566 2.33705011451479 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0869307589926794 0.609304951433034 0.0112159431740474 2.33925517628664 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0868478274445856 0.610204533236245 0.0111821904674114 2.34557906874197 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0866301528759236 0.613761586427912 0.0110346546315829 2.37064504378926 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0865025632880958 0.617395750674153 0.0109282753367048 2.39564247749027 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0867941080292502 0.607324757412356 0.0111277272829289 2.32729823804315 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0862283005606133 0.60645550241041 0.0109181315087438 2.32307827796107 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0859427169661501 0.604304223906604 0.0106490988516261 2.31198832814436 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0896605637447278 0.598230168792794 0.0105125622002818 2.27761050013224 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0964888865967535 0.594018977983227 0.0116830039550788 2.24958234552471 NURBSSource NURBSSource 22 229 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0520014292165308 0.193663274785844 0.00794148555595369 0.179398406381126 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0519827393791697 0.193737836817971 0.00793452199986977 0.179480644382811 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0519447804644075 0.193777855369344 0.00793215017808205 0.179551313531342 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0517579761515342 0.19384633016119 0.00788552121338617 0.179660415934564 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0515201388034821 0.194258464144677 0.00783977339691108 0.180269697443665 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0515350419173711 0.194701735269397 0.00779605262875676 0.180749660955391 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0517088914926611 0.193468195512581 0.00785798953708197 0.178827555738885 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0517066242218465 0.19341306406838 0.00782847917933684 0.178356256213736 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0518538382389271 0.193377586976314 0.00778510704889879 0.177807144356815 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0532703403602398 0.192687636229845 0.00797038594248108 0.174008309457916 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0557881560520813 0.192084516425922 0.0086139507918923 0.170683344239175 NURBSSource NURBSSource 23 230 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401160775450625 0.0660023318208462 0.325058567185066 0.0208145429109931 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401436251811015 0.0660953321674629 0.325295433549829 0.0208606556888774 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401405698793706 0.0661391047798284 0.325367879555405 0.0208762939833259 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401647748281672 0.0660612864532516 0.325906439234291 0.0208340143482533 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401716501974522 0.0661379329006599 0.327499475296203 0.0210284875643974 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.40246434864684 0.0663340696602037 0.328953086395848 0.0210905258188021 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.400423903926045 0.0660417846320349 0.324269696838054 0.0208790180640492 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.39961185631889 0.0656816676171454 0.323512067390718 0.020778986371677 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.399292015743537 0.0655962166969848 0.323232703268759 0.0207687904239571 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.394794994987165 0.0651928573099056 0.320098023372385 0.0207429729761645 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.390327761516098 0.0673391738808498 0.318752189871312 0.0216965121348474 NURBSSource NURBSSource 23 231 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213608323424771 0.0650392159951004 0.0417346985889865 0.0191699301290447 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21394213952742 0.0650603600883255 0.0416214482649418 0.019133075903061 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.214259606114909 0.0651722606944741 0.0415507502871882 0.0191232602526425 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21459732982157 0.0655691386988406 0.0415233939300671 0.0193504808070344 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216796131436849 0.0666289739581742 0.040889974457845 0.019194777959105 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21941345832227 0.0681835227242908 0.0409178305610731 0.0193128548119011 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212283477342944 0.0652910629591847 0.0415973510788775 0.0195339260415342 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21086780413 0.0657209197014027 0.041666567594557 0.0201583601060632 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209298363889079 0.0669533678464369 0.0422891152533795 0.0209900982228548 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20410228116668 0.0725294266209186 0.0447516642439156 0.0255567772301449 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.199305732054727 0.0796004364613392 0.0457413612804726 0.030750452245406 NURBSSource NURBSSource 23 232 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196557210964519 0.545318955542075 0.0760304801992899 1.87901291301298 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196423823650287 0.545128213778407 0.0759024920658301 1.87701921499771 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19651595618969 0.545642408010436 0.076093843738152 1.87977782035694 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19626286545011 0.545928758193318 0.0758015890904442 1.87999854957211 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.195370110394681 0.545728417423967 0.0750662293373636 1.87326408737101 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.194408015514127 0.545217789345521 0.0742783709941507 1.8653502929123 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197138695500847 0.544490529253443 0.0764503962489551 1.87311607475176 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.197491266973152 0.544432568190967 0.07661018392982 1.87251609640183 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19834743634554 0.543425414924492 0.0772073614104907 1.86474422822468 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201835549723876 0.539378261456158 0.07990677337318 1.83308562058682 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205298755435034 0.536526854423794 0.0826679658923031 1.80619509030542 NURBSSource NURBSSource 23 233 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0952095623917004 0.0619644072781725 0.012026442374292 0.0163676187285066 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.095193567975005 0.0620178680621147 0.012025438864477 0.0164026808505774 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0952058282611543 0.0621351977512281 0.0120627781776643 0.0164710305023565 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0952914048294959 0.0622221894113226 0.0120666861715306 0.0165154580855678 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0954683513618535 0.062363841752673 0.0120190003565693 0.0166161160679298 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0957764999910539 0.0624589960362841 0.0120967144760306 0.0166639744739997 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0953626395635079 0.0621070068902804 0.0119757876556101 0.0164529916662501 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0953892739777954 0.062170110745523 0.0118692142152534 0.0164864737135589 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0955485332734182 0.0622367832379583 0.0117608751020599 0.0165231127723886 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0961699940299916 0.0632794016885881 0.0116995167344396 0.0171099598417912 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.096652026509283 0.0645426711718851 0.0117713469045513 0.0177953232167023 NURBSSource NURBSSource 23 234 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113692367509698 0.105934429891536 0.0336097847182153 0.0960872721709143 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113550675363457 0.105907451794486 0.0335056057963387 0.0959157355535823 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113461908715897 0.105908373996822 0.0334376067563246 0.0958968696992948 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113353730200824 0.105860573859029 0.033374424906467 0.0956298975828627 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112620353053145 0.10588810522747 0.0329896575345814 0.0949841758133036 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11195311219495 0.105792564213973 0.0326035900302867 0.0939717067389909 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113951139577322 0.106159643246898 0.033993789287249 0.0962886123966954 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.114081074167454 0.106186753360821 0.0342825731734557 0.0964585991938849 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.114654803030803 0.106514885243648 0.0352177185382268 0.0969296442111933 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.117013725379106 0.10854737717966 0.038336975848957 0.100078702793107 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119613346886999 0.111212391715543 0.0410708469734421 0.103427324639891 NURBSSource NURBSSource 23 235 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.187000311068526 0.0550637364252784 0.0413215109426601 0.0127921083970898 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18699567846327 0.0549725825492819 0.0413711294211787 0.0127765384741128 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.187195639978991 0.0549437349016065 0.0414323658864649 0.0127944274895632 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.187352941737346 0.054970521664296 0.0414977370593841 0.0128354253171035 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188068987793556 0.0543990713675479 0.0419757798427142 0.0128554810238776 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188311219794018 0.0538618275987238 0.042321767561606 0.0128970153037722 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.187134702926465 0.0547364335759664 0.0414838191536736 0.0126500851701239 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.186597620098786 0.0543098231738817 0.0415574441964097 0.0125594731675807 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.186484215217345 0.0535854662812022 0.0418018291611194 0.0123510330707106 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.185099519238811 0.0523711031150632 0.0430942943488259 0.0120100293898411 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.186376459628919 0.0540984000151956 0.0452643823113544 0.0123080033115279 NURBSSource NURBSSource 23 236 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13597855273867 0.0579873575119732 0.0166846413495641 0.016238681633797 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136222841187852 0.0578294157055329 0.016727954960856 0.0161637722798008 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136299486385725 0.0578317794968445 0.0167292330140448 0.0161595727254543 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136582855325682 0.0575897325072509 0.0167907894598114 0.0160519232010552 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137650270768866 0.0572774352856717 0.017108543957682 0.0159046800245421 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.139345595320364 0.0564643193484655 0.0178000307487121 0.015471221415778 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136435145633056 0.058288459919137 0.0170552547820849 0.0164898898766212 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136890885981509 0.0584409852252801 0.0174132423627173 0.0166172429465419 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137800714996069 0.0589260260753122 0.0181006116947294 0.0170092914669872 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.142837793910785 0.0625700459032056 0.0217221440421788 0.0196090960336905 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149538090821921 0.0673017656936305 0.0268274960980467 0.0228309870598957 NURBSSource NURBSSource 23 237 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0765250901695514 0.433246358730859 0.00428843638519573 1.12705342329731 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0765136281518727 0.432855746040987 0.00430321906958148 1.12473196222727 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0764238421485399 0.43247147084832 0.00430246282666614 1.12238820189714 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0763856283660212 0.431995532932769 0.00431273109771647 1.11979581371852 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0765383795337242 0.430718545247177 0.00436359227847244 1.11321311568261 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0764350661166616 0.427582862749559 0.00439406712749345 1.09873447877315 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0766641277637687 0.43359872470591 0.00427786221601563 1.12612940820952 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.076607183201584 0.434181569920845 0.00424142413117646 1.12617574186336 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.076777559905322 0.436376794583658 0.00423084773425909 1.13201457171281 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0775052479624971 0.450914381771066 0.00431190588328446 1.18581311741222 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0792787006525152 0.461300992303996 0.00481510017759483 1.21704194637243 NURBSSource NURBSSource 23 238 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0709862605334599 0.529397880634297 0.00742735571389559 1.7379986203411 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0709640173953986 0.529643808269222 0.00744034943816216 1.73933387268289 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710249017340693 0.52968982381281 0.00745913578776666 1.73995843962503 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0712040681374453 0.5301606796871 0.00750866047360696 1.74241981717806 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0717736480443663 0.531349528679153 0.0075539768484724 1.74843271358219 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0725957806572632 0.533087212444555 0.00768276369016442 1.75811444041935 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0707394416806104 0.52717715293047 0.00739423679575531 1.72710925589532 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0705910823968704 0.525307954584843 0.00738647336658782 1.71808835984894 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0706896419923486 0.520509686192382 0.00735621575957961 1.69477828304167 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0743966449485051 0.502419158554699 0.00770893396068141 1.6081856608701 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.081107038914332 0.491638315711175 0.00887903047080515 1.54796063092513 NURBSSource NURBSSource 23 239 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0507690655208126 0.161345355057152 0.00925534022124345 0.121821294945137 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0507034377754792 0.161428803857053 0.00923850936811456 0.121931961442925 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0507797728466788 0.161494649673859 0.00921422437520785 0.12195656610042 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0508593281467384 0.161483513805442 0.00919436004757044 0.121697678999756 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0510990696452553 0.161797168687683 0.00911435130505706 0.121771529378106 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0515593730839022 0.161762994864464 0.00904373444317235 0.121123134767549 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0507413126110164 0.16103903114106 0.00925216934116489 0.120988678910164 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0508596611933992 0.160840794976694 0.00929179606000337 0.120263157382238 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0508473065437108 0.160166884103292 0.00933947601340303 0.118633817282763 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0518545793538571 0.157572991214139 0.00988342433030283 0.112182910430703 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0553484512561513 0.156092431365358 0.0111966844026463 0.106987835615257 NURBSSource NURBSSource 24 240 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.40080835541956 0.0656344971659128 0.324624134480144 0.0204627482186647 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.400951717168117 0.0656030975897843 0.324978086413634 0.0204538774457608 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.400818006409652 0.0655966862537625 0.325174200599527 0.0204792452719998 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.400746673986813 0.0654765241629545 0.325564331319698 0.0204554869467583 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.400757949443064 0.0649573237642862 0.327778769187476 0.0203475572882059 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.400366405805227 0.0647130368614448 0.329009975844286 0.0203646633207919 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.40187740526754 0.0658035469569269 0.326713560568657 0.0205500999059618 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401818042830081 0.0654846373162942 0.327607033762581 0.0203373970556642 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.401388718369817 0.06511641118534 0.32897264378486 0.020092850942546 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.404883855480776 0.066685656936775 0.337514678696884 0.0198964489790815 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.406410074722108 0.0719531844260726 0.34513028047438 0.0213866259673065 NURBSSource NURBSSource 24 241 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209447347024788 0.0642484525326835 0.0369511488221973 0.0185549971556013 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209600285247725 0.0644198696124472 0.0373030384171281 0.0184984513795071 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209858022067308 0.0644919622899647 0.0375149129641432 0.0183860625380809 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210147447085156 0.0648246488310166 0.0380437113083817 0.0183057855077244 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210386766659434 0.0662892680843909 0.0402425959318619 0.0182203759262969 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21116965079722 0.0685661701698351 0.0427867643710554 0.0184001977576715 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208487694346634 0.0642357712483995 0.0373900367804539 0.0181997348854429 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207568693084129 0.0645078703370582 0.0379112316987901 0.0181056050428731 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206087781959103 0.065567678847482 0.0388680439270901 0.0177834503584994 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201488137478254 0.0754486572843784 0.0463027465805681 0.0190242577264302 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.199978326079896 0.0965720602179416 0.0588185185864677 0.0246327714293414 NURBSSource NURBSSource 24 242 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193694837138752 0.531545936752795 0.07277484767526 1.78139770185802 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193802022558556 0.531874304838814 0.0728798296541203 1.78327783832276 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193664903495805 0.531179835560712 0.0729212187028859 1.77757068820882 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193700516942565 0.532434099229568 0.0731139024308649 1.7865395083774 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193863879387996 0.533671866759321 0.073745257491368 1.79259231137137 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193991533260249 0.534594154000325 0.074400137972495 1.79596715673967 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193529954415052 0.53180651140657 0.0724920603650759 1.78327268184098 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193268235346974 0.531533221991892 0.0722873904803942 1.78223625963124 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193000397631718 0.530875464334876 0.072096016551211 1.77806211321029 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191940145646917 0.534224379070682 0.0718039510109865 1.80354629519654 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.191188235051784 0.531604787972661 0.0720255655170316 1.78066699069326 NURBSSource NURBSSource 24 243 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.094017645682708 0.0612298727663621 0.0114387803159209 0.0156356565812744 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0940718124924334 0.0612250588039901 0.0114319769238409 0.0156138302305122 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0941567948513225 0.0611287093352659 0.0114064903823753 0.0155571735009555 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0942873655412817 0.0610381575732485 0.0114044329680005 0.0154876511654036 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0948632374588037 0.0608521498581757 0.0113676323913597 0.0152138319276479 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0956278266305858 0.060949422466904 0.0115595841501761 0.014944087714161 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0940315904809859 0.0614458638154735 0.011488372436369 0.0158209644427984 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0940803755558123 0.0613885180274915 0.0115804615168886 0.0157569122036077 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0943551535397518 0.0617852056708584 0.0118677849568171 0.0157705119156507 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0957278595319903 0.063111012363484 0.012940344842236 0.0157672690320786 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0980211245301593 0.064735022840977 0.0147564745910148 0.0159616308299041 NURBSSource NURBSSource 24 244 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112512557612983 0.103091223532965 0.032295769801864 0.0890296222002855 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112536353346628 0.102658846739143 0.0323751004963654 0.0880018986706439 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112657822607055 0.102579560068199 0.0324627364893476 0.0877559492551386 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112959247808152 0.102826901206433 0.0327496427187896 0.0880772248852397 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113705633536641 0.101952326093683 0.0332168427115339 0.085010313360629 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.114872968300832 0.101774164339234 0.0341109199148753 0.0830654858434745 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112736017668303 0.102856607179912 0.0324585142015893 0.0889202994634753 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112886367702427 0.103036898672107 0.0325126383901195 0.0896518498000558 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113790115034103 0.103661427049891 0.0331131388324322 0.0914115544081738 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.116169221910546 0.106209742534183 0.0340726442819091 0.0951781996135022 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119019893225668 0.111316274695494 0.0348248860089727 0.10016894748654 NURBSSource NURBSSource 24 245 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.185732898335017 0.0543549516597876 0.0400046261056999 0.0125648944004954 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.185669625509517 0.0543598682258841 0.0401538875163968 0.012610494281237 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.185407188306784 0.0543499521926135 0.0401496300255073 0.012631335531294 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.185165792362065 0.0544640716646948 0.0404362857598278 0.0127389577599353 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.184253030012288 0.0548924114738687 0.0416563589752768 0.013048294686682 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183529264719482 0.0553123175251599 0.0429960016584107 0.0134377815712327 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.185842486577086 0.0543480942409757 0.0400861260900161 0.0124938633322821 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.186014746791548 0.0543564691032744 0.0401624355552318 0.0124197664882277 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.186472896441011 0.0545961744457636 0.0403059407898521 0.0122760080020629 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.185690975537281 0.0538423688342951 0.0412681772056942 0.0116974521398343 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183610553419303 0.0535262660112855 0.0426524168998663 0.0113336060851678 NURBSSource NURBSSource 24 246 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136089349744958 0.0576543953454792 0.0165039581620073 0.0158586986474829 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135823545112621 0.0577906083178669 0.016452134366805 0.0159740924145965 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1354544972108 0.0581271466231455 0.0163781146015638 0.0162009824578938 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13474878945313 0.0586118747686932 0.0163282893639226 0.0165969261118443 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132925464726135 0.0602688148087031 0.0162858214679494 0.0179223196013464 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.131223099207302 0.0625617369261516 0.0164337548400091 0.0196171768046289 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135823936439833 0.0579328412824273 0.0164865864933862 0.0160483344417186 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135808132084024 0.0582331850172006 0.0164515738349472 0.0162154277129261 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13559673107524 0.0588959980061104 0.0165402195360018 0.0166333226152184 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135599369685541 0.0622710594533138 0.0172441085368293 0.0185197264477013 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13726196716691 0.0667606770528254 0.0181436028045353 0.0207890815902381 NURBSSource NURBSSource 24 247 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0773525881507534 0.41978609536838 0.00428001191393984 1.05987929821401 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0772800431911776 0.41982742046471 0.00427536025437552 1.06046429002225 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0772362716991137 0.41978918967002 0.00425442615693559 1.06076148017893 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.07717984410598 0.420335655042865 0.00423879282813865 1.064215500374 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0768398312294565 0.421464393982026 0.004162048852858 1.07315315533848 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.076885105984762 0.421480324491342 0.00405625188098622 1.07664367734739 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0774351089709151 0.420022187132323 0.00426680411601802 1.05989675840557 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0776653674549522 0.420162898761649 0.00425522319915016 1.06009567828387 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0779869260648544 0.420271068867846 0.00422434468239372 1.0586579911494 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0794028587004769 0.418876258669945 0.00417910783252936 1.04364300908667 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0806017691699043 0.415544697850634 0.00435927788647526 1.02088202550693 NURBSSource NURBSSource 24 248 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710896590581551 0.527453182542668 0.00741326029080875 1.72614637620035 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0711939668461858 0.527009997365793 0.00742931510001662 1.72405901051759 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0712656982217324 0.526607959038408 0.00743623310581297 1.72204015160614 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0712925084901723 0.525587830559383 0.00742587132783704 1.7172297224128 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0715078980866735 0.524205624858021 0.00748467828527227 1.7125435818435 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0722306926208373 0.520322058276859 0.00756329819037603 1.69162195961865 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0714711838750936 0.528688281149863 0.00745939671828 1.73074123237785 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0717888019468586 0.529910640594997 0.00748332721874157 1.73518354597916 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0727486528440003 0.53252033274753 0.00759478180779869 1.74530968789488 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0785942983720098 0.540371891748126 0.00853723287752542 1.77097328811857 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0846715263918581 0.542286885774316 0.00940567561077002 1.75685131750336 NURBSSource NURBSSource 24 249 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0498766203758196 0.159415811605398 0.00870243712235269 0.118462069053479 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0499185361352462 0.159428781669811 0.00866936207205374 0.11841674721312 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0498968227778201 0.159407042067789 0.00864133083906114 0.118356835540992 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0497171477504351 0.159345602561025 0.00854155551490475 0.11825849201581 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.049505319072033 0.158963854452133 0.0082532780884623 0.117459813218435 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0500774830157137 0.158994631260922 0.00815889857432255 0.117179800664353 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.050028855727564 0.159888217321031 0.00870956146733259 0.119268835132446 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0502644676591881 0.160287383090137 0.0087428923917282 0.119983597906145 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0507284952201287 0.160828310412904 0.00874723988734338 0.121215701519454 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0537091144362817 0.164441369850946 0.00926362153770135 0.127733344381836 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0570387328332104 0.167468848181083 0.0101170607190076 0.133816533712378 NURBSSource NURBSSource 25 250 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.361900081108536 0.224747076441796 0.333291712861723 0.291253185245593 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.362731563777929 0.224670085603952 0.333751852655775 0.291070904056954 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.366872796035201 0.224700809033044 0.333858520234163 0.291049529635463 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.371882892179818 0.224645352672219 0.335135475662018 0.29097247864063 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.376045019254281 0.223041078468464 0.338708038002458 0.287330540181171 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.378601006558368 0.22145265569047 0.341836845917463 0.283702623199742 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.362553212709256 0.226140911583051 0.334838433275277 0.293070551161205 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.364297566140369 0.227622532941064 0.337756721927793 0.294884771446945 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.370818374631233 0.23248036728057 0.352778224927147 0.302390000295018 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.387632081374205 0.24801928479811 0.410038741604401 0.328856776450063 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.388367160354088 0.258583757541174 0.418936396739051 0.341401607479614 NURBSSource NURBSSource 25 251 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.334018466759841 0.25585713913117 0.0761058274652378 0.279991326921013 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.334229427376215 0.254852430264309 0.0759281990219967 0.279344747001192 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.333885067586504 0.253082054169556 0.0758812249028219 0.276816487564929 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.333423165928444 0.250227614110917 0.0760642721367035 0.27199232644034 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.329192503629139 0.242013499239056 0.0743604604797124 0.260193010602013 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.315567722966832 0.23541656156477 0.070770329704292 0.267239562503664 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.335828372264391 0.257537792027533 0.0766936148825539 0.274198415573503 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.335299380434116 0.259697399756333 0.0816424511532201 0.269429969396962 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.340290105445551 0.265105258893433 0.0854679242771858 0.266970691080634 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.340139106502399 0.274299803939179 0.0770829329087375 0.28039859712236 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.327384695799998 0.282942789330237 0.0738882805655956 0.318963337726967 NURBSSource NURBSSource 25 252 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.256518475869933 0.536770787932608 0.0907437193212445 1.67075021682686 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25614007048849 0.537056630953756 0.0905110216008215 1.67185234449573 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.255299762527727 0.537995308926177 0.0899635936398019 1.67681701878659 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246701309239558 0.547900967409945 0.0849123998539024 1.73535792975269 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246300403116557 0.544839636013503 0.0856634361964214 1.70294924566574 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.248289274320182 0.541870982587845 0.0873414094518853 1.68673079142905 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.245750520036849 0.551796100580519 0.0838579955967401 1.76570716945364 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.242363243899449 0.558402646720444 0.0821469867442664 1.80842338585649 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.237142964071363 0.568557106092851 0.0797040599151532 1.87379676764704 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.225037639120414 0.593264172564532 0.0760974680571783 2.01833994909508 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.220863961968601 0.585544890620904 0.0834972183568032 1.96033828682647 NURBSSource NURBSSource 25 253 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.127190383658717 0.151684437412772 0.0318816061594749 0.0704570436938248 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.127071850569225 0.152789554489108 0.0318531591410083 0.0714632515601199 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126504345613162 0.153255030659115 0.0316394353553702 0.071987751492799 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.123813453619272 0.151134808064676 0.0306003076265851 0.0704767267969408 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113853316876729 0.143781697596898 0.0261147602259909 0.064822642060064 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.109931714219329 0.141170303390048 0.0237345228168709 0.0626753602425384 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.128690370997967 0.148316222565318 0.0322810185520026 0.0676221440856124 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129834591244556 0.145506795424662 0.0320326547305174 0.064918011354034 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.127705117450318 0.135097728424173 0.0304329747638469 0.0564374677341985 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.143926323512404 0.120521696437763 0.0347263781279822 0.0397007755899998 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152754627354825 0.120143674042385 0.0412180956561883 0.036622133292641 NURBSSource NURBSSource 25 254 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0968571718798266 0.158701686623044 0.0235882287824043 0.176436411134416 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.096580643064872 0.158885445663766 0.0235836468850437 0.176578470840989 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.095903988329728 0.158800284655987 0.02340161121535 0.176500564170597 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0945290592454941 0.158540276865057 0.0229509991027331 0.176171047063286 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0941107863686799 0.159105435660552 0.0237314930717671 0.176010858057962 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0965423883272378 0.160410776115642 0.0255522829076297 0.174984801004918 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0972594230407294 0.159662217684397 0.0246173787118782 0.177394842376123 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0976003213298584 0.160005589515194 0.0256125868306776 0.175701929426189 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0976969791678361 0.159444209692055 0.0270665229440264 0.177153096935749 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101762508604044 0.155499947063906 0.0294317016789459 0.157959968740244 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10636802161649 0.156202060631025 0.0371286288646063 0.153231778519038 NURBSSource NURBSSource 25 255 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.230981209480246 0.109812408487371 0.0566517534207635 0.0520909345527708 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.227633952950014 0.110348719039325 0.0567236039136481 0.05259917343196 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.224995610700682 0.111430576708487 0.0571226579625929 0.0533687583785608 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.224597511758076 0.112034812158804 0.0566181957719731 0.0543750330266001 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219686534313749 0.115865168288098 0.0543375029334106 0.059888614557026 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206551713422858 0.119936178667261 0.0454286982458237 0.0654138422347433 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.221705745737052 0.110811589858653 0.0576016568994203 0.0522389788036685 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219068157117465 0.110267372990707 0.0564412512557383 0.0519975562173109 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213477493472851 0.109937174630082 0.0539094571116858 0.0521450234964136 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.186347080483524 0.119090390903776 0.044284870635471 0.0580892279102394 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179659753108006 0.134350116651853 0.0519888425247931 0.0715563560117352 NURBSSource NURBSSource 25 256 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215201708033432 0.127936002745343 0.0454479553908265 0.0732145904500893 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213756040520006 0.127220359916623 0.0456639584654596 0.0729031473146088 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211884845752448 0.127021987499022 0.0456353643090948 0.0734651128139697 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207543133263687 0.124617372770344 0.0457238418826028 0.0727451682767123 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.193194511011577 0.124954124421691 0.0443030929734704 0.0746918106712463 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18618707027203 0.127625877019775 0.0441265476141642 0.0778076869698472 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211841164626806 0.126494608229305 0.0444633280976543 0.0722312961390914 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21005105766284 0.126746721806875 0.0437525570086221 0.0730855905523503 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206331234508585 0.130350204773686 0.0401162159572584 0.0780173305534884 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207036407288192 0.153426868028863 0.0369444687938047 0.104454488852109 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.2258276858852 0.169705950218136 0.0510010814835797 0.123663782966551 NURBSSource NURBSSource 25 257 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.111732747678553 0.429316882311883 0.00495504136848921 1.00515538872524 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112082450046574 0.429808647224817 0.00498631002945392 1.00611657234538 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112340987522133 0.430058258842777 0.00498348408014272 1.00624417696806 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.112907584185637 0.431118371794286 0.00502974757582082 1.00936718466579 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113215810852891 0.436937978959316 0.00508072498533963 1.03072238891531 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.113025596640903 0.445151609104267 0.00525472316067667 1.06351933546482 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.110938088601664 0.434540189958354 0.00483019081358619 1.02422206670965 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.11006511729176 0.439440674028795 0.00475970292903547 1.04018438614991 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.109122094040819 0.452298531198265 0.00490398160458688 1.08664656908699 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1077522105472 0.493307465384362 0.00700150347512645 1.27513341616466 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.110009968546267 0.476750933951619 0.00919664829957673 1.20982147219635 NURBSSource NURBSSource 25 258 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13957495022152 0.59177945651067 0.0192262280011186 2.09475803875003 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.139877015916725 0.588880353156763 0.0192124136197745 2.07556791666556 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.141380647089735 0.588699825126481 0.01946356363902 2.06956945692409 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.141498168390304 0.582907953939489 0.019485339202921 2.03377664064201 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.140289938858349 0.565647316578796 0.0188893699478697 1.93008636647805 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146915698171386 0.568851231731389 0.020650376022497 1.91093802204626 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.133128628629272 0.587199756228748 0.0189430214842764 2.09022592163125 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.127198347042904 0.582974541324891 0.0193178518543374 2.08219632213827 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.123826665354022 0.584590063944685 0.0213035400459521 2.0990774774259 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.158188936127362 0.639522504346586 0.0541861139627292 2.42127658745317 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18152154582338 0.652587283162325 0.0888652560620134 2.50159149910832 NURBSSource NURBSSource 25 259 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0838754812313247 0.167282653387866 0.00763875610376864 0.0895125381353088 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0837569638341344 0.167563222473085 0.0075492803160523 0.0903564424537461 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0837569769006958 0.167430173799904 0.00744676429007746 0.0907207077527721 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0832419140257874 0.167445050475382 0.00737890220103333 0.091633314047732 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0833952370427722 0.168442158125742 0.00679761180642648 0.094346962630055 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.082568054138097 0.175575453542601 0.0066312187133706 0.0992016062109548 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0850985374336856 0.166449580708296 0.00788812356483953 0.0883601553690742 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0857210539187269 0.166479505987119 0.00794713935885663 0.088909040942799 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0868998020947023 0.166583880655105 0.0081994897765373 0.0889540306069538 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0962575969313412 0.187602873209651 0.012630528513576 0.116377058237074 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107012650747644 0.207713950922165 0.0143911713258128 0.124318694620878 NURBSSource NURBSSource 26 260 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.459853868864573 0.0941432382452779 0.403215235401678 0.0446473666199219 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.459951751679151 0.094231087608279 0.403413012101985 0.0446923588972359 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.459904496476644 0.0943280599288593 0.403458159093171 0.0447473821140535 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.459954070453813 0.0945782404484998 0.403721686254776 0.0448972232878789 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.459515119731371 0.0951813665603513 0.403679140671546 0.045195302070499 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.459954316775258 0.096046594995447 0.405068259119015 0.0456914794253583 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.459939946933016 0.0942737726490653 0.403201845563791 0.045014041549923 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.460634665203541 0.0946715204335507 0.403909320821381 0.0455307438108881 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.462100728813857 0.095483490769798 0.405232447559574 0.0465505408946343 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.463616632223686 0.0979539860547678 0.404169418381781 0.0504820161862659 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.47122280650201 0.101734767641526 0.41204745664689 0.0553053713938164 NURBSSource NURBSSource 26 261 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269878400028149 0.191175611161583 0.141625624080246 0.263714141259533 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269858221241221 0.191319261971596 0.141485983219791 0.263850342442675 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269703199096074 0.191250133561815 0.141190755357897 0.263489871978669 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269656351012659 0.191498660495346 0.140785990158562 0.263972368274381 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269767925194464 0.192377851805214 0.13979287179639 0.265188630438872 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.26967739828562 0.192506499254138 0.138738901770431 0.264092883014577 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269925433462411 0.190689825366705 0.140676038659221 0.262292710086166 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.270021550691286 0.190344817814097 0.139958759177682 0.261298086740358 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.270092760944706 0.190348977872394 0.138707476941637 0.261224105326351 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.271158105317767 0.188978497492621 0.134978656413413 0.260707745741267 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.275436620763021 0.189763877260003 0.132173366781994 0.261534151812116 NURBSSource NURBSSource 26 262 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218505020154532 0.800136594191768 0.129184445036011 4.06982621980153 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218588135095192 0.800203935378103 0.129234457415375 4.07016634979416 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218646095461843 0.800363013103015 0.129224555809565 4.07076295710575 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218876244523465 0.799859685330555 0.129401477244395 4.06471785643507 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.219678974099836 0.79893496960662 0.130053693246382 4.05647816522127 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.220581754433773 0.79903601753644 0.131270530514352 4.05484012516916 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.217916633620337 0.800022547802091 0.127161546186585 4.06994431936322 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.217293649498369 0.800300943092876 0.125103651369372 4.07481403311525 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215880941450041 0.801914507707632 0.120910660746951 4.09368802109916 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210435466627882 0.80713101254814 0.106079530483629 4.1549769669492 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205235385242515 0.810120881904442 0.094522612410894 4.19646851869916 NURBSSource NURBSSource 26 263 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137621283486526 0.122062453317435 0.0899197873495549 0.0816493306825999 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137654245179225 0.122194364583803 0.0899538962760588 0.0819874699547045 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137652660180186 0.122380555926965 0.0900175058114641 0.0823640050912797 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137705164182409 0.122753017771539 0.090496720797356 0.083266127759393 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137662084050651 0.123845408778131 0.090921908219592 0.0859581179207149 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137252435217679 0.124894069748771 0.0914480885658743 0.0885873544558709 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.137920027297204 0.121683033217269 0.0900114848595664 0.0807769380444928 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.138069169894094 0.121235516762245 0.0899486256279114 0.0798047797509612 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13815271930684 0.120845894117446 0.0899542763229823 0.0786001465571003 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.13894213089427 0.120818875631407 0.0898546681593853 0.075501681251334 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.140282908143568 0.11988610932914 0.088958571499316 0.0718447187566612 NURBSSource NURBSSource 26 264 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179145744953339 0.236508900411658 0.123063008821936 0.551739921575457 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179230354762018 0.236514880251494 0.12313466230455 0.551206104495397 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179263729904133 0.236456024267676 0.123146135869992 0.55056379375515 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179275998720411 0.236391222141445 0.123065087315747 0.549306624728115 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179492017239137 0.23599624515101 0.123166788555576 0.544775451798883 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179636647502644 0.235635922032572 0.12354882784663 0.5400894229833 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179227005198674 0.236430351026748 0.123223444645246 0.552538981486657 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179275670612871 0.236179586931523 0.123438124901501 0.553006988453774 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179396419447588 0.236110198840264 0.123738600708036 0.555596699620611 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177376295169679 0.237074577554472 0.119998989867312 0.570857463605559 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.175810158808298 0.240872274945745 0.115893153152505 0.595639872599036 NURBSSource NURBSSource 26 265 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.23160951484699 0.108521015657107 0.0835162152008216 0.0658447777992984 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231537293575315 0.108573603361863 0.0834392818639061 0.065936354040592 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231420524719924 0.108687272037754 0.0833238147465725 0.06608661503146 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231280809086927 0.108793954360794 0.0831848551218995 0.0662688798930272 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.230402739618018 0.109634729140972 0.0826494125682313 0.0672304097246475 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.230234163668216 0.109852904008514 0.0821233466669592 0.0675434003176202 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231489590231297 0.108512837321 0.0836124802168816 0.0660915533346196 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.231184837582796 0.108586688051981 0.0835967597678392 0.0664116760388491 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.230962551910883 0.108594903713704 0.0835597107003095 0.0667673393752643 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.230803332896062 0.10989904252941 0.0847696798365493 0.0687404624536423 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.232478264933042 0.11268297701902 0.0858705144034246 0.0720822032993132 NURBSSource NURBSSource 26 266 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189905494347245 0.109461151256172 0.051596684356852 0.0668762299151961 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18989215961107 0.109574327094644 0.0515741254200621 0.0670104790918697 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189924286372552 0.109537147309373 0.0515528262323158 0.067020590685465 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190025693475825 0.109588122682366 0.051608918109832 0.0671248345532832 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19034254173126 0.109675232651763 0.051592488254153 0.0674391428234373 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189851341535893 0.110861734493073 0.0513622373826981 0.0689565049840375 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189799937362146 0.109811203881529 0.0514302896329349 0.0675538436778558 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.189605782542682 0.110074981371217 0.0513735405615798 0.0680828215264481 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188890918598239 0.110549611313468 0.0508581319803812 0.0690967821372736 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.187516898877568 0.113438760900657 0.0493780096251145 0.0738864877776952 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.188622325010842 0.119298928712182 0.0448551271600382 0.0813037544766573 NURBSSource NURBSSource 26 267 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0810294262866674 0.597141711783042 0.00985102094054954 1.9858496378474 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0810988175343723 0.59718780567823 0.00989959870100246 1.9860927044978 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0811653733406371 0.597234765209934 0.00994055549521225 1.9864596776768 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0813312816693792 0.597205251780659 0.0100545976653576 1.98581051227462 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0820342558173364 0.597218799579305 0.0105485645035442 1.98549683886533 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.08262640961439 0.596928303462097 0.010982809533027 1.98297657334045 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.080977906019954 0.597499544861667 0.0097893593236169 1.99007125864161 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0810133686279641 0.598887886999895 0.00983413340462102 2.00092240835925 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807559543954346 0.601354136796964 0.00974316904874941 2.01824095115101 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0802327164178417 0.603297299576939 0.00981163366384808 2.03931323793654 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0810831585878142 0.611118030863228 0.0101005631143574 2.09604441066314 NURBSSource NURBSSource 26 268 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104585707540553 0.755288605978671 0.0238947542239564 3.52995190112367 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104695986379224 0.75556177474858 0.0240041592119224 3.531872911774 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104736210623905 0.756037010068731 0.0240792796355966 3.53514864053053 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104780671431602 0.75668282004192 0.0242404174165747 3.5392116278091 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104940162179304 0.760844687303786 0.0247832741387299 3.56634391237437 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.105582156762192 0.762500888012944 0.0258910938286193 3.57703593952918 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104523117915253 0.754011535063637 0.0238781067003633 3.5197803987943 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104488185575827 0.752885010467615 0.0238710756264452 3.51149347779214 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104468956463924 0.750797063203785 0.0238070970505059 3.49569046673583 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103446788252272 0.742733800596434 0.0230000724871023 3.43407920317008 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106184433268213 0.733205220317003 0.0224819726602491 3.3606155083733 NURBSSource NURBSSource 26 269 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0711624976153186 0.240463743100339 0.0206540565059347 0.303607500989805 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0712491588764297 0.240502490586186 0.0206146439027873 0.303649833859998 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0711792106202544 0.240430277845822 0.0205502209290348 0.303572399955419 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0711109022342863 0.240265483153314 0.0204197875554831 0.303381858227765 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0711743014257329 0.239894825883193 0.0200267309639718 0.30259399570086 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0715179493885583 0.239857394368363 0.0197836980421997 0.302058755276716 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710517888527494 0.239930142518723 0.0205837707828289 0.302338077743387 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710199472645744 0.239646099000695 0.0205399085693847 0.301355124578029 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0707219371331423 0.238832712673321 0.0203758068256219 0.299065380549731 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0697955287523157 0.236524071573296 0.0191656141450414 0.288935330680277 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0700204030918115 0.236274220514286 0.0187273895538548 0.284338558792952 NURBSSource NURBSSource 27 270 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440774958337527 0.087067266381299 0.369549877664132 0.0356606062919399 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440703253860565 0.0868922630605935 0.369496037947304 0.0355731274770265 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.44072013596982 0.0868802371160854 0.369752040712737 0.0356091280716107 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440704599725719 0.0867953543387836 0.36959356347031 0.0354955842401627 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440038760177401 0.0860063590741255 0.369445136990524 0.0349520300994144 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.439317082188335 0.085652801087508 0.369134739891733 0.0347037343312508 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440738174226509 0.0870923367644505 0.369425141788134 0.0353248938097864 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.441070782931098 0.0870627819275585 0.369650319358205 0.0349503763779555 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.441334256394537 0.0876586205246861 0.368930060996669 0.0344316167415924 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.443830153404711 0.090009725026748 0.368461503024223 0.0328763590395379 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.446311191774828 0.0922521119670065 0.36827846904476 0.031399062115515 NURBSSource NURBSSource 27 271 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.267096995230753 0.13847970120725 0.153658580542234 0.120517625991532 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.267230688838402 0.138575325731856 0.153581475060575 0.12075022298624 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.267143264468835 0.138669505183844 0.153566924266312 0.121132827060123 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.267125658540266 0.138863100151351 0.1532124613966 0.121505191827097 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.267180598433902 0.140210944429709 0.151968698209543 0.123450166659238 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.268061257933784 0.142303653008627 0.152427815604703 0.127407323878109 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.266516283655215 0.138881552173092 0.152477963955743 0.120556815493624 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.26575196677775 0.139524101404519 0.150564695314637 0.120944053494623 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264794269220118 0.140268604274425 0.147521873780641 0.120784769229481 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.263302416632846 0.14604549597714 0.139133353014273 0.12472396649662 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264296960454759 0.153616999033054 0.136266241371365 0.133307553738028 NURBSSource NURBSSource 27 272 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208103943996979 0.851439958600771 0.113233601741826 4.53066960336224 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208107924456148 0.851348972917105 0.11315263036164 4.52973702230697 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208008877394665 0.851257397980198 0.112980498880839 4.52896378001773 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207836905223596 0.851198918115309 0.112674654508825 4.52834515392762 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207783053298915 0.851134337558715 0.112181262958998 4.52703981644717 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207946388674628 0.850834775186619 0.111266787605885 4.52232078295304 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208886025909258 0.851448092276774 0.115550942414631 4.53218104153113 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209565154337574 0.851750644993939 0.117934315308253 4.53673458333366 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211010112719782 0.85159790246976 0.122262929422192 4.5373204224947 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.218586748598639 0.84977200157163 0.142151403593248 4.52882156616675 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.224161965864472 0.852431404794278 0.165167943159813 4.56130487089758 NURBSSource NURBSSource 27 273 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126136390726327 0.0979168034578684 0.0492120722288352 0.0506866294654901 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126131992512477 0.0980483783492388 0.0491401965736677 0.050895116697381 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126097553752634 0.0980713936659582 0.0490819105090701 0.0510359972926621 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126073944883256 0.0982608077199842 0.0489896444997917 0.0513331693037458 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125907736711449 0.0992671657547661 0.0484979247994668 0.0528259789239726 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125635364331258 0.100443318735665 0.0479827094142694 0.0544522985446924 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126728681201142 0.0974139938355259 0.0498188574556768 0.0499617659873414 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.127474234806423 0.0971303530179937 0.0504205848009452 0.0494627082482483 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129112821066063 0.0964335971729564 0.0516788283167545 0.0484777214960166 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.136758872004121 0.0939714955317181 0.0570540929682205 0.0449243962721869 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146467937537283 0.092606605017663 0.0642467177166679 0.0422431370147731 NURBSSource NURBSSource 27 274 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167585923285685 0.202103774376134 0.0984630952805023 0.397824000862968 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167540553179172 0.202327092088479 0.0984014567309864 0.398440700851095 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167553043800331 0.202465034318935 0.0985250144905455 0.398832097619094 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167512869874393 0.202611184456246 0.0986929750649083 0.399266093111124 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.166602524218655 0.202714388733872 0.0987117446890137 0.39980633894362 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165254272748736 0.202864254965611 0.0979391774381752 0.401040784286658 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167643017584053 0.201759653523228 0.0982500933676356 0.396605317011322 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.167828249972894 0.201370582483871 0.0982016772460344 0.395435918234975 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.168532021133753 0.200671298900539 0.0987171927033632 0.392176154736064 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.17191234797313 0.200900727991041 0.100830539754836 0.392889348298348 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.174721981448384 0.201758809989482 0.101708878397322 0.390726651754554 NURBSSource NURBSSource 27 275 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212861628570698 0.0925030915682506 0.064845162081042 0.0523951763202167 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213111034422763 0.0924772816596194 0.0649781061927845 0.0522745238155354 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213318133339428 0.0925466980005656 0.0650465217018422 0.0521947095215698 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21376410094972 0.0925538252307386 0.0653421987171018 0.0520153482468294 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215253253793999 0.0924968463430586 0.0666563377449427 0.051411685290795 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216454662173276 0.0920807927188435 0.0679637779510385 0.0505018846670415 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213101471208793 0.0927108791617044 0.0647444940100794 0.0523653680219537 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213468700378071 0.0927314930928534 0.0646208519821733 0.0522496336417937 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.214114928335129 0.0928177914148278 0.0646314121128663 0.0520928693113311 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21591283639539 0.0902826329834057 0.0643120789918798 0.0492365393840243 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.216703395724851 0.0908897708403313 0.0631069694791337 0.0488143874980358 NURBSSource NURBSSource 27 276 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15770673412628 0.0887184229360232 0.0353368640417783 0.0465719919924827 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157586368014624 0.0889151405908651 0.0352922377187259 0.04679052502286 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157554436735231 0.0890720069373893 0.0352634010983799 0.0469618686214746 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157602284666457 0.0892381854131751 0.0352489858181318 0.0471553439709991 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157897057921366 0.0898090190864762 0.0354500605876967 0.0477361755561269 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157877469443981 0.0906111249266869 0.0354771251654803 0.048574968873748 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157960514010269 0.0889926568395298 0.0353607879149168 0.0468492883835056 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.158222750756121 0.089258216452537 0.0355637002092115 0.0471376069850044 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.159028321000751 0.0897052759792971 0.036125492952696 0.0476259901083022 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165575480145607 0.0907317484377311 0.0408077813084355 0.0491072215692762 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.173741676645815 0.0913597314530301 0.0475524553815239 0.0503140639506282 NURBSSource NURBSSource 27 277 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0802616096928848 0.568143089590596 0.0093265072086632 1.85750400290748 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0802492887942446 0.568280733223308 0.00933289583438526 1.85840386531093 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0801922573125121 0.568507695714748 0.00934569159095062 1.85965900174824 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0802283790545301 0.569169006439295 0.00933950112563115 1.86364464628076 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0803728085205912 0.569877352192842 0.00934961795857991 1.86863734792952 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799170601152465 0.570009655224511 0.00930097170618048 1.86861362512586 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0798944747929492 0.567692052800668 0.00931984212884404 1.85497252401042 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0797736428147856 0.568070858756479 0.00934897712046415 1.85734010760173 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0799313445359998 0.568471268428438 0.00955177709952791 1.86165119275173 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0814131288416875 0.575852240100011 0.0105451266478213 1.91832603895763 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0843605550943324 0.573458036220756 0.0125475498385542 1.91227383251168 NURBSSource NURBSSource 27 278 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0831574833512187 0.688089811487361 0.0130672206009253 2.89782632499764 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0831570964380886 0.688153765928756 0.0130481583942462 2.89829086323427 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0832373958041992 0.688793105215622 0.013023331344641 2.90159603540348 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0833135604829615 0.689028210941738 0.013027481836943 2.90277896790417 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.083505792795761 0.691637182421472 0.0128858247355665 2.91826529380588 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0837596597393959 0.693547669463509 0.0128439703431605 2.92915917905822 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0825032136363203 0.688992100004529 0.0128488365449705 2.89928144376497 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.081571673938287 0.689892951961516 0.0125745490859199 2.90118067256527 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.080305118960953 0.69186162788399 0.0121991942322802 2.90403663151669 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0805320881097765 0.701027706765687 0.0124955221207693 2.92346372277427 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0886775467289938 0.710226098172738 0.0157916115777989 2.94175457303541 NURBSSource NURBSSource 27 279 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0701211193508201 0.201847886549017 0.0223980189003152 0.202954565734807 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0701916719061671 0.20185625710022 0.022412590103424 0.202855188186661 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0702335290221547 0.201873398312401 0.0224397285303689 0.202857779132361 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.070393949561839 0.201919488468073 0.0225985264422172 0.202896428281896 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.071204600062903 0.202641208824779 0.0237462534705818 0.205128683544549 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710839065933691 0.202092712499449 0.0237126539716134 0.203929840013273 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0702319102826306 0.201908796563076 0.0224440624520698 0.203132310694636 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.070368033174652 0.2019589588461 0.0224857125615662 0.203310398695768 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0703817355786334 0.201349544625384 0.0224692488376869 0.202441170749429 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0716614881700735 0.200436644792706 0.0233172462746268 0.201866649788853 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0732650287245724 0.198723828494454 0.0238134375553705 0.199629428139409 NURBSSource NURBSSource 28 280 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.438812172735746 0.0860802692183003 0.36783444754665 0.0351881496057771 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.439231712648079 0.0859528244820881 0.368555392564955 0.0350981327916598 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.439173341593713 0.0858366975247238 0.368712688612269 0.0350287378159318 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.439068126182191 0.0855839476206781 0.368807995760919 0.0348880655235142 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.438906667935226 0.0848368586164238 0.369804247822753 0.0344524499916593 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.438525635369301 0.0841302443820112 0.370640027162545 0.0340077884595876 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.437851157652305 0.0857197986038014 0.366892341839336 0.0351769662249281 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.437197727709899 0.0855463886751447 0.366458191915703 0.0353610365745782 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.435603401700712 0.0853349603266669 0.365372834572516 0.0357226603377194 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.430802636755185 0.0871641512817059 0.362520318472538 0.037905693172295 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432373198612596 0.0931460705702396 0.364895770298056 0.04188654840644 NURBSSource NURBSSource 28 281 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264263072177113 0.137269991481085 0.146799034639665 0.117645373234667 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264547733190733 0.137367692200546 0.146973817849649 0.11762971869151 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.265014770229523 0.137729038463573 0.147451590508469 0.118273081760477 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.265757998604989 0.137977837047419 0.147726371923925 0.118466333956513 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.269030837834578 0.140028872395691 0.149656816585446 0.121286745275748 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.272308151325089 0.142042436119164 0.152628163806014 0.123580218844568 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264215336727929 0.137966527695234 0.146874142533715 0.117905110398999 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264567118111315 0.138768764730182 0.14736391822807 0.118137599245064 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264968083429009 0.139977099397784 0.147180548416391 0.118104087130037 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.265996659922558 0.14587321792403 0.147137442840752 0.119704583205355 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.265707902932559 0.158569686480914 0.145284443595292 0.130492214679761 NURBSSource NURBSSource 28 282 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207333438073965 0.845254786617779 0.111156024093965 4.47400035650273 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207246377931176 0.845802279637418 0.110831520776279 4.47964398290106 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207177605629082 0.84646890863862 0.110457291414747 4.48673412237038 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.206843722810764 0.84755003603472 0.109666853213319 4.49728228424338 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.20595889881155 0.850842505848494 0.107068179030886 4.52983490773628 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.205237109128461 0.854369611535404 0.105205626579011 4.56459411752163 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207290282063758 0.844482502534382 0.11148806310585 4.46759514275409 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207429462380656 0.844735066765661 0.111853692530624 4.47151063630826 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.207576616875147 0.843325743503099 0.112818567805483 4.46025123002145 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208552447167803 0.836152825432517 0.115547614549578 4.39395715624 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.210525993825875 0.830990793008508 0.11889233364743 4.35315081419674 NURBSSource NURBSSource 28 283 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125052517151434 0.0969837550428558 0.0479265000089224 0.0492966766735222 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124940528940314 0.0969894850451475 0.0478024363648768 0.0493195999910884 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124867999569934 0.0969905146220002 0.0476572474676075 0.0493495777227714 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124752959202686 0.096974725325143 0.047540606774523 0.0493977161632577 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124223459912888 0.097086676002802 0.046771425766736 0.0496522136141427 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12356783575613 0.0973501236898689 0.0460994968155812 0.049999833386482 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124755796919903 0.097261937862058 0.0476960960989273 0.049730552495797 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.124336237121605 0.0975479388176768 0.0474902570816546 0.0501893360088126 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.123642086113243 0.0982407560063067 0.047055322529582 0.0510791259712234 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.121250686360629 0.101478211237407 0.0458664382313932 0.054401401411438 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.119170699420409 0.104964989815114 0.0450299045515187 0.0572023339781427 NURBSSource NURBSSource 28 284 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164977647016747 0.198505023125637 0.0946890953314739 0.384358753367113 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164972281060782 0.198455954405329 0.0945796925063933 0.383980538259924 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165029661760153 0.19836028763909 0.0945485340057381 0.383566331719623 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165126803100495 0.198127264562085 0.0945456442768549 0.382832764169837 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165186474458283 0.197918518898963 0.0942432865560102 0.381045910733302 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165517712063389 0.197469003518631 0.0940516869393876 0.378090889519172 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164913327185891 0.198597924799746 0.0945639539715829 0.38290097753622 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.164946889224617 0.198708182976417 0.0944273135688559 0.381791628475672 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.16488287234967 0.199376130186356 0.094018753876827 0.380012438526346 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163787100294121 0.20237050167947 0.0918612126094095 0.373878846803226 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163449961144516 0.208042293125731 0.0901997970383114 0.37645215688423 NURBSSource NURBSSource 28 285 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211735124211272 0.0908747755439642 0.0638548959616083 0.0497965876173269 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21165121660397 0.0909197233285052 0.0637856401581369 0.0498340254603407 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211462955667221 0.0909026909580447 0.0636631807747194 0.0498706948846691 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.211143596287808 0.0910315626836201 0.0634008866203491 0.0499487486837708 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.209807897225338 0.0914612928271411 0.062689927808445 0.0504699978051646 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.208583465935657 0.0918383672341259 0.0620128433344009 0.0507603049023622 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.21226668814722 0.0910971441025906 0.0643915056507107 0.0498948504674828 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.212685024962004 0.0912719029922777 0.0649446609004898 0.0499757232074635 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.213516816218928 0.0915767073145991 0.0661227871369137 0.050232891110083 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.215366741531664 0.0919738828793813 0.0703923541119787 0.0507380049507027 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.214664353129366 0.0923471696147314 0.0743386858643597 0.051817594658989 NURBSSource NURBSSource 28 286 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157388370775891 0.0878873976282357 0.0347305398031403 0.0451826928289819 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157288321525815 0.0880000224544573 0.0347618256133195 0.0452343761119485 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157223718530646 0.0880116199390314 0.0347960660874822 0.0452043834444603 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157063804157346 0.0880386005115975 0.0348255242243833 0.0452016051782044 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.157129256972023 0.0880991840736795 0.0356064484094668 0.0450087624063709 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156873862463747 0.0878517619198765 0.0364795161418795 0.0445449936557815 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156962955477023 0.0883021801680943 0.0346462732580011 0.0453572402475767 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156873794649737 0.0886646958498616 0.0347521561871706 0.0455223399591678 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15642628257509 0.089424948571197 0.0348161308837953 0.0458158729477367 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.15590827469626 0.0926579317706882 0.0362674546997939 0.0471252405639115 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.159932489383409 0.0940793740886148 0.0400251029221535 0.0468935770007929 NURBSSource NURBSSource 28 287 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0804955355567922 0.565938046296132 0.00927774963750938 1.84466310838605 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0804383732566762 0.56638892543469 0.00924759553637831 1.84678989790812 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0803588783373864 0.566692223638819 0.00920308910576375 1.84810324364971 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0803239703538892 0.56758883491627 0.00915905930575949 1.85248194525087 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0797249037018091 0.570527883671592 0.00892548397224544 1.86519316617042 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0797093891601041 0.572299030600547 0.00890170730282436 1.8739101856397 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0805295338576544 0.563995820455711 0.00936334891065123 1.8338520964315 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0807051261180829 0.563627382727815 0.00943134043687628 1.8333946405946 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0811903366419169 0.561495423434686 0.00970746545994835 1.82480327715113 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0835323548271606 0.554485823504615 0.0111151878981249 1.79798627198184 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0853148264031474 0.544090138071269 0.0123578684246972 1.7483555308934 NURBSSource NURBSSource 28 288 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0830370781179246 0.685454209494177 0.0129375875652317 2.87985227374588 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0828544847245194 0.685737003352137 0.0128720680898202 2.88170620256852 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0827391766544591 0.686114749756906 0.0128330560867877 2.88456919238329 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0822778390659815 0.687148762958135 0.012671731625194 2.89195456183635 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0805540755765367 0.691797705492227 0.0121712678940814 2.9251754391451 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0793853969929103 0.696671813446284 0.0119552445516227 2.9600192230176 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0828596946210727 0.685484326221475 0.0128591330210146 2.88117502067081 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0824249055689136 0.685769371778786 0.0126890664724046 2.88440157652189 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0823866393547403 0.685832326810695 0.0126061643876528 2.88543337853733 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0830966766233163 0.686786095190297 0.0131764316802531 2.89571131729319 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0865026007951548 0.68325388423008 0.0153195663032551 2.86677577707852 NURBSSource NURBSSource 28 289 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0702627838647538 0.202160343678095 0.0227021198774075 0.203990617678043 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0700885720521267 0.201900464450624 0.0225429415729719 0.203527147274506 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0700557023378429 0.201741939856676 0.0224644693656623 0.203206898657474 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0699679624294442 0.201374659656114 0.0221957690413623 0.202518563716606 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0704232601955483 0.200209309967447 0.0215123338990627 0.199981503267004 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0710195599896862 0.199133279185695 0.0210578505601347 0.197758387823214 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0700873965152199 0.201882051254291 0.0227114923748007 0.203363169374799 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0699498020821891 0.20164274803561 0.0228392676748426 0.20281239108788 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0700773625056049 0.201353901817664 0.0231141320052805 0.201936461640784 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0724529188486703 0.199432507425729 0.0247993548755355 0.196970220581187 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0765667836839346 0.19782396301302 0.0281993554684924 0.191989431045857 NURBSSource NURBSSource 29 290 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.424776602905826 0.23648859344838 0.393713553056163 0.337409684514956 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.42452466636187 0.235642774230746 0.394295177621786 0.336050861637048 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.424659043738943 0.233790311428621 0.394902793495287 0.330337221328178 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.425703667950704 0.225436757319896 0.395190242216325 0.305619062502953 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.431522811544489 0.220776197225337 0.403152080944804 0.290523486713042 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.443573091901101 0.2159444643209 0.417498747990352 0.270839011657185 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.429784795631356 0.231604353699926 0.395136859663516 0.319181433898042 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.431600299680884 0.223231242333174 0.396004244280148 0.29458087001335 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.432885000123062 0.221198364370604 0.399027211133266 0.287548497851478 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.43688270624152 0.214904245736819 0.408469036280894 0.268719841064763 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.431935374606841 0.195939423311851 0.405371938303725 0.226341048216442 NURBSSource NURBSSource 29 291 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.362125993744227 0.323580838187806 0.164117275422529 0.578346682345308 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.360065531865621 0.325705025204512 0.166349177492808 0.593457078536087 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.360236296531441 0.327205994139262 0.167233108747569 0.597268760735165 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.360914101099095 0.329226075136969 0.166161527579293 0.603771296468285 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.366867674502907 0.33416612869727 0.168694613839933 0.614997117322926 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.373803344730718 0.33729610185928 0.182526704660406 0.625718210828401 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.358472078354406 0.31831172517712 0.16074313032824 0.56626026905829 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.356006354426153 0.31710874248023 0.161777749030345 0.572888192414449 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.346243296383009 0.311452469318719 0.164817688544259 0.587842978446068 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.327490916408477 0.275775238431462 0.182729572475647 0.523768749649812 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.322487826300151 0.265790604155294 0.21838770885801 0.51420128393105 NURBSSource NURBSSource 29 292 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.26397853891934 0.847425296636584 0.129539006136238 4.1240333956529 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.263202476048112 0.846862955532296 0.128643451584478 4.12401661304057 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.262451071280337 0.84633976500791 0.12772116747918 4.1243194123779 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.260952648051015 0.846183987268084 0.126220776458477 4.13099296974942 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.255358934116436 0.834570468215648 0.121106308472502 4.09420238221025 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252617141153173 0.835359553080579 0.117958459987311 4.14494215607838 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264218058082841 0.845659619283719 0.128337639068603 4.10917248350967 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264262698188805 0.842589916924485 0.127480145254053 4.08568016538737 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264528610747663 0.824834080167692 0.127205715307594 3.96991384018717 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.259589579154345 0.815393582556781 0.124522100455602 3.96142877920795 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25796354131929 0.810417012248483 0.120539607497281 4.01778433333401 NURBSSource NURBSSource 29 293 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148361708443504 0.152447334917395 0.0783895239537394 0.103248840844383 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148663640793384 0.152776389978854 0.0783762031293838 0.10339651771949 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14892344888298 0.153092876692714 0.078274972668146 0.103527295664862 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150082399072564 0.15435287619293 0.0783323025538593 0.104175680841413 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152833526301788 0.158546661287386 0.0794436485648617 0.107963099452652 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156930726757245 0.160691535454769 0.0824126456550195 0.108170839105831 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14833109182314 0.151089175900273 0.0790200742923514 0.101969620432409 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146893485233337 0.147865354324312 0.0796469222115711 0.099560116975534 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.145136890537432 0.1418544495799 0.0805689967550138 0.0947094883632496 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.153411307853741 0.131643157160959 0.0852452661942098 0.0839777508404931 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.159061569509682 0.122461228731451 0.0956427950724892 0.0735826334952782 NURBSSource NURBSSource 29 294 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14995484017527 0.271381276407342 0.0741965175900106 0.550750709645811 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150126104260726 0.270591459066748 0.0739200405236577 0.549109740964392 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149889609207436 0.269854255581059 0.0731905575351523 0.548243984268598 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150148512735474 0.269092357775638 0.0724593713470216 0.546564935259827 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146369074740713 0.271036548315738 0.0668518517111061 0.572024392489594 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14633331982549 0.271770436768015 0.0644730601162919 0.569879497794749 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152012061072923 0.258555342889329 0.077811887021499 0.527702247787053 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151570728926834 0.262305630222165 0.0769261510066116 0.562136258419241 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14925407154482 0.261477011008479 0.0761956220440012 0.562530588526772 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148140551521851 0.256895004463411 0.0818701581418298 0.567162493643834 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.158529023119545 0.261627844675847 0.100657041609895 0.590248482294384 NURBSSource NURBSSource 29 295 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.256868839023993 0.147814682519091 0.0707325263460142 0.0961064021992242 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.257274052626997 0.147297168366558 0.0708315477442657 0.0959045737537139 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.257394230964876 0.147018048832748 0.0708294064936886 0.0956358746960174 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.259881456680659 0.149605696491137 0.0730156727424321 0.098678569119089 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25703290282723 0.147030580541933 0.0727945747055295 0.0958870462595738 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250748150363403 0.14317825633789 0.0729163156489511 0.090956150460942 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.254664671522028 0.15036054723537 0.0700807038306136 0.0990725595595266 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.251231015704614 0.149717088051937 0.0683696042003401 0.0981284964935553 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247982193049278 0.149858709036284 0.0670616855601754 0.0966125812081912 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.214546291476902 0.143181984789058 0.0562956260731048 0.0875794879570354 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.201190437817548 0.139709102562786 0.0565662777321597 0.0839029051232292 NURBSSource NURBSSource 29 296 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.238178753325446 0.145280429085751 0.0636706074344566 0.0914248588668269 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.239693458282252 0.144007391554664 0.0644859639951663 0.089308327497276 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.241424232837427 0.142131417988173 0.0656761537443606 0.0864261808859632 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.244516728473099 0.139856744086345 0.0685833771016957 0.0830936288187913 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252035810327173 0.13000366793392 0.0879389719478758 0.0741539719158753 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25516308155224 0.124901856381836 0.0957143682175499 0.0704799596423172 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.236896234699297 0.150042061187045 0.0628578837226813 0.0989258713929474 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.245237931122636 0.153834384670409 0.0686229527626004 0.102542974860853 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.244669917164251 0.156563651381859 0.0635600499125127 0.10338761029809 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.235704611394517 0.198947482348786 0.0585523739439846 0.17382259221634 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.261274348478543 0.216863719832333 0.0762587282138496 0.185949370464175 NURBSSource NURBSSource 29 297 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.10432467370455 0.475680292376362 0.00590967747283669 1.20053508754365 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104454631511161 0.474611546187882 0.00588260226545419 1.19382362054448 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.104545859235398 0.474067169280509 0.0058553340036087 1.18993616185962 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103871014118397 0.47197265992393 0.00564006868401603 1.18397613500337 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102836424793994 0.479129207379165 0.00512546037059716 1.2224969136842 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102098153237702 0.494488313745582 0.00500390051594495 1.29714692954976 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103510187051919 0.473332721089607 0.00579254422675718 1.18984753307928 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103474892952262 0.470691641386325 0.00582998406094697 1.17834938844542 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.103615372752963 0.471449557474521 0.00630586237883497 1.18584411492107 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106602948127674 0.493082849625336 0.00927043565911116 1.32297080340636 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108439840286262 0.531901495308432 0.0080157443852391 1.57936323906555 NURBSSource NURBSSource 29 298 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.171306216975131 0.726303452969747 0.040693175115085 3.10150195932259 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.171392936074025 0.725426976469619 0.0411476959636463 3.09551132907525 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.170982216437049 0.724679131728663 0.041628985874085 3.09483357546295 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.171378241998277 0.722055836212431 0.0426550546586998 3.07688916418055 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.163192070822014 0.714430946600767 0.0452526534737316 3.06063003586999 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.159939882163938 0.707718413885064 0.0486841065448778 3.03577371750842 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169593200834548 0.730140918861421 0.0401617131393165 3.13293425785812 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.165446904448879 0.733529092933909 0.0393989915215092 3.17254005903935 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.156530166993167 0.739250088448072 0.0389842620583606 3.23758146689461 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.140368864010522 0.760914051432688 0.0433424598516361 3.45803531969578 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.146357728162681 0.788958607737044 0.0479683413236042 3.6935375450467 NURBSSource NURBSSource 29 299 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0873063270701067 0.191966495217088 0.0107053700021067 0.137912009651923 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0870660958413592 0.191760745978613 0.0105233534510166 0.137527201101106 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0869735276956304 0.191429405015524 0.0103828156857323 0.136966604144661 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0872990792481987 0.190700607355306 0.0103312288898942 0.135623332962898 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0910731425648443 0.191662477935583 0.0106602227693196 0.13485669845471 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.091821008254304 0.191628572505906 0.0104888433850979 0.138119206792497 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0872109923953561 0.193576323586289 0.0105442013376168 0.140343880651945 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0851638005173996 0.193933587023677 0.0099509825505478 0.141268070548392 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0834979425936921 0.190821892395608 0.0100371559247953 0.137964449855941 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0818542090463769 0.215010260423327 0.0121910241222364 0.18945988927179 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0967013094475956 0.233280673466234 0.0258034938431414 0.232085035825731 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.477145145266616 0.412897388723406 0.27600994012727 0.642085883534315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.47729394406736 0.41286988789946 0.275963284513451 0.641721656809942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.477444226281404 0.412935816652583 0.275948315017981 0.641685699852249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.477768623437988 0.413134928017558 0.275926531064445 0.641784240804285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.478562027233929 0.413049830139058 0.275283426653536 0.640593880601488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.478370936386213 0.413173257881377 0.275069155515866 0.641737204704839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.477277179298259 0.41299353745371 0.276174689559903 0.642506739433362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.477135563595708 0.412682850973657 0.275816403963035 0.641988572900649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.477095114120094 0.413082816606755 0.276130558764841 0.644300828806286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.475886396041852 0.415271760688112 0.275109456771772 0.654447081567632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.47605877850686 0.415547176004069 0.274807834507111 0.657341174797884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26385977227526 1.26713369297572 3.6144245743936 9.3655657657844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.2638856331964 1.26714142264533 3.61444175570531 9.36564578648911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26388013023302 1.26716905839339 3.61445146420996 9.36591583383538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26387518601439 1.26719786065548 3.61448339130346 9.36617762089426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26397407347871 1.26733339771151 3.61454023935897 9.36740901273709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26406522888306 1.26752039666126 3.61508098363559 9.36937158228547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26390665019581 1.26720916566709 3.6145351413242 9.36621355012596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26386123215278 1.26731252713448 3.61470611812733 9.36735878037129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26392136918206 1.26759603694857 3.61520996293991 9.3704065585424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26421466186726 1.26832492155144 3.61717962814304 9.37772925878572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.2646183631198 1.27097768397618 3.61899546426597 9.4027258353091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.911384003804013 0.924965090953229 0.836374528769003 4.02606236933753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.91131757294251 0.925115244261229 0.836257513194133 4.02700229505325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.910670430968231 0.925033474730877 0.83377247706168 4.02703772126375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.910636678068888 0.925242485188382 0.833664977732576 4.02839203070042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.909909331424082 0.925659349170948 0.834398355848813 4.03098812879792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.909358096737946 0.925816596697353 0.835138842744293 4.0319077439388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.911830567691713 0.92480383151621 0.837001415529173 4.02562702328993 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.912276633467141 0.924110267365806 0.838089004095812 4.02118346989759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.91331827293625 0.921834253939656 0.84014035560108 4.00519274469904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.914913335682205 0.918730763036461 0.845035239496424 3.9817180741581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.915481404398779 0.918468297517098 0.849222717398018 3.97906393567992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730224529387535 0.563156378122739 0.824420870359916 1.92202292254407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730313522561955 0.563171120100323 0.824431229622071 1.92217617925886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730392649720526 0.563196198527307 0.824425228611763 1.92239239955284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730433782627306 0.563269944599005 0.824466135295329 1.92288769490579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730381779610618 0.563297132328146 0.824730036360224 1.92339467496214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730470650929148 0.564051054604394 0.824980198972759 1.92808729887916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.729819445756059 0.563245874234395 0.824064061196064 1.92234230999894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.729920533218753 0.563298762957795 0.824034024403427 1.92271938349721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.730407263781861 0.564090857002525 0.823810271453155 1.92837288960543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.731181246427338 0.564261645952805 0.824255972168642 1.92966633637383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.731371000485329 0.564975516590518 0.824856719136275 1.93523505205624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952224793523957 0.945755118227324 1.21463077539858 4.02451724640965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952237875330466 0.945765018098952 1.21473584951819 4.02458481477515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952242024175141 0.945771419662728 1.21484335311422 4.02456095839913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952258775371315 0.945789622259065 1.21490230029447 4.024656541441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952308699861881 0.94582372287693 1.21509275985309 4.02413753657461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952396533630053 0.94589538197678 1.21525436136892 4.02406501914466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952106799000919 0.945604365358201 1.21392075499486 4.02357895988081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952215629208649 0.945658453720518 1.21382250513393 4.02383346332207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.952353692824852 0.945759642519243 1.21368111419386 4.02391174622133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.953517125659966 0.946552538935575 1.2135267703313 4.02645138084179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.954259970757111 0.947340268802848 1.21407906229541 4.02832360958769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.991919521491848 0.982529628530462 1.87362137002686 5.07477533413766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.991974366250183 0.982558534697477 1.87381735968157 5.07463513806607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.992043773056523 0.982598856429085 1.87397001752584 5.07440832364406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.992188588510669 0.98277671902376 1.87417933306862 5.0744623045272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.992526079928968 0.983048735414286 1.87451511887971 5.07509443135426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.992563645016512 0.983124911327817 1.87474343010361 5.07525584872666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.991993014766898 0.982577319845898 1.87429249012071 5.07553351896689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.992005140510661 0.982611104213277 1.87484069418438 5.07595267011962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.992166952297053 0.982386854202254 1.87550603244332 5.07292447660137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.992857828492451 0.983759894280657 1.87754442549485 5.08617846235305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.9927104783948 0.984927838026783 1.87938233302641 5.09565244054892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468366951668553 0.531911678768431 0.224465932145419 0.895444124231235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468341039002306 0.531896056153511 0.224447918793715 0.895390267102995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468336520355297 0.53188476560711 0.224442610888348 0.895357462131239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468353992818437 0.531888940745282 0.224455469775519 0.895373324970253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468360518745864 0.531569353644425 0.224390281604711 0.894470675330123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468232461627837 0.531304644934496 0.224273097895305 0.893872091959247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468508688348035 0.532088073233151 0.224616340579516 0.896191436388762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.468625801896547 0.532007949849334 0.224650581194343 0.896091198178822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.46925123838899 0.532456754090256 0.225144924977422 0.897817474053075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.471352115402049 0.532557593109097 0.226050983115575 0.898454391034623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.472551116168005 0.533791035567553 0.22733430121723 0.903762979437659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41541833958761 1.34005845798616 2.43725458915603 9.56938143681499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41535329840604 1.33997499033983 2.43705998567451 9.56850021135547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41543650547442 1.33998856567746 2.43699539794109 9.56868501568637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41561905288974 1.3399637790417 2.43691519743748 9.56845688681833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41553081336661 1.34013804169011 2.43590124734256 9.57079077153882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41556898504988 1.34006630518865 2.43388342241855 9.56821780453553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41530372894107 1.34040666569941 2.43706700496366 9.57351742536367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41547108374867 1.34053354670964 2.43682479465472 9.57503618711378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41542574637594 1.34040589371735 2.43548641181922 9.57287244743192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.41464776904957 1.34100472130382 2.4263152987761 9.57588625118229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.4147988204224 1.3429368178474 2.42386620951504 9.59320786586572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825418227721864 0.825378862556297 0.897182991031994 3.1580829530445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825342573480345 0.825541040221966 0.897269781208061 3.1592506204244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825320508040622 0.825553536904736 0.897221585616666 3.15943740094779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825298392310028 0.82557609887435 0.897145808153425 3.15970279588293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825453484398576 0.825329333734405 0.897148478315013 3.15776176754208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825385040584083 0.825472182086619 0.896893443344156 3.15899009781253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825385963000673 0.825429382799105 0.897278900883865 3.15832014459161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825387036372691 0.825194106373192 0.897327214696156 3.15672333700226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.82531512483547 0.825205461160916 0.89718838539825 3.15695726791446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.825489444864644 0.824758191441364 0.896740535366444 3.15444081487937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.82613350084204 0.824370332036443 0.896531892204661 3.15138003595215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338554288537276 0.328493471420207 0.13022062977106 0.382782403233099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338594850200602 0.328513660897957 0.130279014832448 0.382859780188367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.33862935781892 0.328511957253872 0.130315068985535 0.382876931160107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.33867192304844 0.328533186431559 0.130363014768646 0.382958431146303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338675703151042 0.328579751783256 0.130422386062469 0.383191433392959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338694250118051 0.328618239375631 0.130467784462074 0.383400339978283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338625464210586 0.328610674337235 0.130450910580354 0.383154725328778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338668228242735 0.328715518508979 0.130588248033514 0.383450599252327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338767710109713 0.328796093951023 0.130747694111109 0.383631342567498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.338970536256537 0.328905970929731 0.131166889088432 0.384203882740085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.339294811436112 0.328668371427016 0.131363231289194 0.383430370251708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.341491951982273 0.513339092034475 0.2053286139658 0.710057844147089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.343566243528493 0.513701108125495 0.205706974043936 0.709911019373534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.343380341339617 0.513757139774343 0.204998162924274 0.710149334188033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.343956758651449 0.513278550342221 0.205067416173658 0.708795688662057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.344867625957127 0.512286523333858 0.205345472318973 0.707039086149227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.346130417598341 0.51183800129798 0.206223648768782 0.705697293564069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.341108943715196 0.512203776612502 0.204316109845092 0.709151678100233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.341773696185578 0.512241544804439 0.205090476139037 0.709289743876603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.34165742896897 0.511230415383449 0.204376767135816 0.706253506699516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.341358977115263 0.50989779076634 0.201042398233011 0.703013134431491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.342965419053934 0.508369667066846 0.201053047008387 0.699380990614613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25926621897093 1.25646735258646 3.99917751410629 9.48302532053691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25935516970931 1.25642473246239 3.9997359118433 9.48092955099353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25948449328082 1.25651129373192 4.00020703147583 9.48009527896406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26000216352397 1.25722291746953 4.0014024460255 9.49003205567546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26061225424739 1.25761289836032 4.00385153861344 9.48981220518361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26089970085398 1.25805570306208 4.00552302825208 9.4910720936395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25947419005933 1.25648539512182 4.00147996464606 9.48240828309869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.25997846732476 1.2561005652664 4.0023584434933 9.47954894295408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26068573713796 1.25611345593819 4.0036506106393 9.48022770485873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26431579568478 1.25607988508365 4.01704751534822 9.47601267791482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.26670691240221 1.25421824990691 4.02349001465248 9.45202221266805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.930927827723752 0.949427423441641 1.21730401835743 4.29471670324261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.932218915683494 0.950002012167162 1.22426854770315 4.29903954260334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.932202438171244 0.950287694766793 1.22439566039134 4.30103978789504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.932256216708781 0.951007607218031 1.22511234744484 4.30618695236531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.932664361061757 0.954212995815581 1.22895396615518 4.33118778902657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.932940395077868 0.956476074097486 1.23404802465072 4.34979174799061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.931930822048609 0.94817855501131 1.21991513911724 4.28592931053718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.932784658626216 0.947086506566594 1.22095038822802 4.27946647000005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.934575611572127 0.945762441434587 1.22574667431674 4.2735152087321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.937327565505753 0.946837424435367 1.2389197258236 4.28898122683874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.938281541851074 0.957506469574406 1.24507316441937 4.3666722557934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.689929053022276 0.531344089367963 0.831267973072075 1.53374161400482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.689925159011799 0.531323997634399 0.831185494646902 1.53377403911628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.689937736870388 0.531320639570187 0.831151063015472 1.53381821394486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.689960817457636 0.531380406647768 0.83116103602494 1.53406089579661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.690479596485728 0.531839701459245 0.831365770968153 1.53579763828561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.690694640727556 0.532019665559459 0.830884532905669 1.53672322739635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.690085357585048 0.531608877703851 0.831277567416678 1.53465676513338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.69021536174143 0.531902294532707 0.83142303549583 1.53588188108446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.690817622825296 0.532348400259138 0.831535862982431 1.53741246667309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.691683716663635 0.532577882522465 0.829753208189295 1.53802652310173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.691549874887167 0.534835808664962 0.829280047420186 1.55602815130589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.859693087540337 0.855251466086626 0.925487006896066 3.48845076121994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.859707748726749 0.855359526219881 0.925555923366915 3.48908429119426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.859807735393925 0.855444768217062 0.925503270706409 3.4894094461462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.86000790040872 0.855744830957879 0.925653474948019 3.49123039104199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.856922193961568 0.855969278271182 0.926905988314766 3.49122266132455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.856657361310755 0.854128962069853 0.928018629199361 3.47720275950921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.859894899951337 0.855215318606442 0.926031150222753 3.48745552226212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.860080720714921 0.854881660167093 0.926353945635818 3.48454724542705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.861448658995192 0.853017984393682 0.926469085007624 3.47041050274578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.860856788243071 0.852186595388622 0.928088458323392 3.46244235724628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.860216392514576 0.852395095608853 0.929778988577428 3.46116314098655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.955220045752988 0.955363359130039 1.71489993092902 4.92831377332719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.955388627703763 0.955476707445698 1.7155153542132 4.92945655256567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.955383123385413 0.955638486447632 1.71544267596608 4.9314593980008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.955038202628656 0.955693896581741 1.71459779664063 4.93212386888458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.954847608449076 0.955114151328626 1.71362897939205 4.92758642746569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.955092900909896 0.955166840974695 1.71544556297172 4.92819034584571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.957186755482774 0.957010922674923 1.72084284921508 4.94239678145201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.957226728399387 0.957065968354962 1.71961132391201 4.94278769433319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.958321275277994 0.957645415875539 1.72116796426856 4.94779410163263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.959551518248053 0.956999712763445 1.72179100060668 4.94101319231584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.961935046818256 0.956232667098447 1.72647730326635 4.93119377189033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313534092070615 0.340098919538437 0.0876035665421633 0.427328364688117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313417153135968 0.340154364044909 0.0875800658819542 0.427480431887456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313486664232317 0.340241694564558 0.087596902889363 0.427628648158191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313429403701978 0.340403749984372 0.0876247906650252 0.428049060151826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313495051901755 0.340771662494351 0.0880348372439656 0.429021851935889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.315280139667064 0.340778688120888 0.0883073684456124 0.4287979491375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.31365289343372 0.340520728769965 0.0877683447738954 0.428290788314916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.31383682706272 0.340771257642523 0.0880756846072657 0.429329938057978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313802540082494 0.340792995510714 0.0880549607564183 0.429320600215616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.314173600733265 0.341674151778184 0.0881993758001172 0.43078681892919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.314492004534103 0.342370585550055 0.088664197582309 0.431956832476456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28676021536575 1.12670671985738 1.97647354037545 6.93236295811141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28701574421133 1.12678948520974 1.97645026722539 6.9334446746975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28725292208754 1.1268220460429 1.97638206886137 6.93379058021422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28768085928098 1.12706510562559 1.97666313119917 6.93626854089547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28806655972388 1.12818501598797 1.97664390598175 6.94745960806011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28863916982107 1.12943605133264 1.97606087760706 6.96003437700578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28691615594614 1.12709150416595 1.97629631012498 6.93682942256577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28772173518837 1.12721496787119 1.97665680851383 6.9387827075354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28784510638864 1.12815993047949 1.97707592358881 6.94874507116402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.28946980572799 1.1313805847065 1.97626793159977 6.98415983742947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.29233407019354 1.13209413848084 1.97470780078779 6.99656043129107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.798381202017095 0.875437490463097 0.867720314917775 2.91665159924071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.798789980599311 0.8755835724805 0.868351978525052 2.91802598082374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.798902118116502 0.875848851044311 0.868649657665869 2.92000008061432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.799221124403052 0.876099917195965 0.869046436145552 2.92162324217792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.799351570099713 0.876504594316397 0.869647921626229 2.92480205172399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.799531109249239 0.876145925431417 0.870404617933014 2.92266737904588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.798668527191782 0.875753843588362 0.867824534902604 2.9189539661705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.798786163099453 0.875963365904623 0.868310946293414 2.9200201840574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.798949323597983 0.876426067689053 0.868676576704784 2.92267457755035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.799490452675049 0.877506891111814 0.870037664967145 2.93180299313403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.800167593259715 0.878122707385314 0.870564305486765 2.93868964707773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.331002087824744 0.312029013858627 0.138439382659588 0.309570323788086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330732979397338 0.312156272737973 0.138512022816883 0.310080041906797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330409777182592 0.312293222714344 0.138587502575434 0.310540782031888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330092210206081 0.312506795828485 0.138711536680905 0.311172399037974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.33015259906402 0.312983779914907 0.139534192700032 0.312517146433513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330927249061751 0.313083515432107 0.140593463223653 0.312733267999416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330204349806825 0.311926401406066 0.138436532736404 0.309560135192641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330200307676676 0.31160417213001 0.138531459999651 0.308955415088907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330316225261079 0.310947950352211 0.138630353279931 0.307436178288249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.330566840571949 0.309394227319895 0.139309122741304 0.303719255351898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.33189137048469 0.309599864881697 0.140456969593205 0.302870619448334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132399727310611 0.126338323863904 0.0183270691288232 0.083614781964838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132739104693615 0.128357871108612 0.0183116790022093 0.0845598626703767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.133362813960175 0.128824497837884 0.0184948742218837 0.0856618203078949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.133050226728272 0.129426517602943 0.0190488222328736 0.0882708587586031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.133173424618704 0.129986663477537 0.020701223661841 0.0895323164688831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132902106907762 0.129576028486229 0.021628601812748 0.0894810126858838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132369615577698 0.126965361894797 0.0182960738696264 0.0839156059238095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.133200306392495 0.126277329660276 0.0189752677698032 0.081720236228457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.135203943357178 0.123831128661413 0.0205761843908622 0.0776254426390841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.132000766557565 0.125480513909749 0.0202951065014843 0.0789242269999356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129799412722499 0.126454655399163 0.0298793099651354 0.0770180067222371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.756467814756511 0.522540241811672 1.63251512354348 1.15544978205406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.75688721291333 0.522550182005953 1.6328371161191 1.15556374494748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.756962505660069 0.52256409404159 1.63356849667193 1.15571828566132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.756655870464573 0.522504426030041 1.6350906482375 1.15597676266956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.756455666192513 0.522224020107922 1.63488234856178 1.15535198080338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.754923796023161 0.522602467042728 1.63637861946376 1.15806714277309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.75414434285042 0.520982952903699 1.63497694612062 1.15139200192443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.752754055343069 0.519689919652648 1.63675037188342 1.14761766568717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.75142000153957 0.518349955090727 1.64145888700765 1.14209432223933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.750420870259711 0.516258077172383 1.66225860786796 1.13821240587209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.752266550651929 0.517301483522861 1.67834217215882 1.13891942402853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.24682300511825 0.168594688715234 0.158115336765968 0.11257452878842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.248927086607553 0.169536998025187 0.15819897856303 0.113179277629107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.249054318661478 0.169669255780588 0.158415149476943 0.113312851353061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.24764865210763 0.168560343982935 0.15826422915228 0.112496157666238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247184594163689 0.167915284802461 0.160459760874084 0.111265557205571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.24718009068925 0.167850375047641 0.162415165694248 0.112883871535851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.251353283007846 0.173384956208663 0.158586279254882 0.114904959294276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.251822616199944 0.172868441622746 0.159174849189469 0.114326578483006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250878331291855 0.17458750170608 0.159597721402588 0.114885362914133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.254209023948721 0.184041608407349 0.160078004858342 0.127198255000773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252130061603778 0.182740685309838 0.158870617157413 0.124749809422781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0857503447834137 0.0495166737174919 0.0134366414860237 0.00933252847514594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0874275314206903 0.049421135982903 0.0130638309987015 0.00955703977015185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0891203345538903 0.0498964664047715 0.0128767488610162 0.00991392558854857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0913691668458738 0.0503405121098087 0.0129912223760189 0.0101121029939542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0931259620120532 0.0514220557234919 0.0131979620370396 0.0108020772283414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0941385720053785 0.0520986782527648 0.013445472695549 0.0111154344868509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0885917522585651 0.0509216982340142 0.0138260930201418 0.00969396905580104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0884777095488909 0.0494604757966464 0.0140612070973826 0.00941544176354163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0944829687840647 0.0549504646124658 0.0160064987613171 0.0109561814059884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.101616063380232 0.0569786172649648 0.0170864433728959 0.0120467341467039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.111312112631194 0.0617277281009666 0.0188227048425321 0.0140359733599968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.323053218959717 0.258623122087997 0.20256993226659 0.351416303537656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.322844782036774 0.258584515339256 0.202319202707899 0.351291643113387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.322439082984294 0.258588933596221 0.20202429410945 0.351252786432264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.322601725270194 0.258811994785851 0.201899048201157 0.351535280629001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.321944597720549 0.259118507883757 0.201623914343966 0.35200952115851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.322250955057828 0.259734270217478 0.203506065581995 0.353350837521931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.321739416310706 0.259045873530076 0.202349954108115 0.353091617512915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.321607510159318 0.258756916613952 0.203339635583574 0.351944693617386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.321606323654261 0.259576430444279 0.203058168412165 0.352719111290692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.318366184988379 0.263994290988253 0.205833189565198 0.362095904459711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.321252000403743 0.267637069433554 0.212759811428066 0.369822987876571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.402881243698486 0.424610674827234 0.488452928520438 0.860291566125623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.40458820475653 0.424879773666694 0.489347954351088 0.86085890789991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.407097772956946 0.425146304638206 0.490295034692543 0.861437586685582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408847268036214 0.425305815142489 0.491819108036272 0.861844092433098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412270825737468 0.425345625835219 0.494570718535577 0.861592672249498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.419754578065184 0.427438584090458 0.499076885058007 0.863925466556075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.404458971431174 0.424746350354992 0.489952492941747 0.86068374375766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.405761456557774 0.425115571617182 0.491336520705607 0.861062084283511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.416537317916233 0.426386378235424 0.496302663852682 0.86243072363513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.421460456582861 0.428452490762364 0.504949895339033 0.869902295730124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.420436714590139 0.42988667575262 0.513043177693827 0.876766527294272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0903130970844439 0.0816781016439422 0.0147030364502402 0.0288670607976879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0903038787635982 0.0817279209963828 0.0146877168256493 0.0289070595290124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0901845202928107 0.0818530419211021 0.0146544504083263 0.0289975065443485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.090065397964552 0.0821875312816065 0.0145867341174601 0.0292314870941278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0926019621283684 0.0851832647284246 0.0154543325328006 0.0316002039184057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0938936055938687 0.0860943058690704 0.0157840357101385 0.0323816250612237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0910670296773534 0.0814274268625777 0.0149632063046126 0.0286917057664424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0923526377501873 0.0817996068407725 0.0154864480493667 0.0289433629810499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0963914057569677 0.0829384610349939 0.0167654708002001 0.0299571471719884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0946650552446823 0.0794690308646872 0.0175611377817234 0.0273706252332397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0936511525869202 0.0803355938266325 0.0177333275446754 0.0274082827584684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.805343858068014 0.51953486078967 1.79204553683977 1.20212158235416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.805158773613668 0.519490434847938 1.79172990054968 1.20173973847751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.805011828463457 0.519605531976678 1.79154773056167 1.20158825093977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.804816408796284 0.520139922886533 1.79080214282069 1.20146658745028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.804536734341587 0.521314126404316 1.78811685231474 1.20371527042149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.806673764555557 0.52189458680013 1.7887303914994 1.20695434476508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.805039824689185 0.520031052709493 1.79664699541959 1.20288127166655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.804299577042382 0.519217787920151 1.79809191839057 1.20215324643704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.803903665871581 0.518640395192538 1.79687449299556 1.20087227409877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.805624061854557 0.516522745462308 1.79669413133595 1.20379231759833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.814211581539959 0.516231975070176 1.83044356906845 1.21079355490486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.441762650465966 0.195213216727239 0.198951936442764 0.217964604288193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440920515619608 0.195124141081632 0.198642229010164 0.217851421475645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440653643519513 0.195516918150466 0.198741690797472 0.218558917461428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.440114031065496 0.195912776734892 0.199026368681609 0.219141396909147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.44187367928271 0.196534264314984 0.201593812789666 0.219727312057878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.438374585121964 0.198265963194903 0.202359270904903 0.222919766515986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.441032415263096 0.195883129923098 0.198604463992824 0.219367354936459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.441794466174726 0.195983848391808 0.199643912648034 0.219370207718849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.445382617282554 0.197254977681645 0.20359989398263 0.221429287449657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.449505073941538 0.201880586603165 0.208354815248207 0.227982494214648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.454730796067319 0.205144452615645 0.217296842114235 0.232555703455347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.076980588373193 0.0645798799761579 0.00849661937347598 0.0175076022536017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0776368920476563 0.0643673691320377 0.00854718756058798 0.0171729163055309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0777274692016231 0.0642495881103178 0.00854782834345247 0.0170865058392722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0777756160255378 0.0642758642159048 0.00855808669007392 0.0170779030485951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0788158388853304 0.0650194543907625 0.00874220404006739 0.0174990721577283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0804771346186618 0.0654645617116078 0.00911672258691134 0.0178814042543601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0766653932861579 0.0647143487320083 0.00849440946886693 0.01764314838065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0765630664114929 0.0648807778703865 0.00841382457978337 0.0177229328216595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0764922172517878 0.0657217993947555 0.00842480075700468 0.0181270675184637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0784740129565256 0.0672160494746332 0.00882215954145025 0.0187328672554667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0774351329775736 0.0686722979390042 0.00891503417629433 0.0195167065570014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675613940314891 0.664618070836258 0.734741904819425 2.18401120824435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675551361982858 0.664599118955181 0.734764620619117 2.1839349621987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675562186612631 0.664533220280201 0.734774059507654 2.18365555380751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675557023713176 0.664443691051829 0.734801112417115 2.18326261044653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675684563074049 0.664090049523888 0.734857570636387 2.18182081365043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675836187456736 0.663886394312133 0.735075167777772 2.18118233888149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675613111008579 0.664592625785595 0.734702556335587 2.18396334874654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675565694796575 0.66454355719635 0.7347351904659 2.18380257848823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675512390106773 0.664500348661064 0.734799574620542 2.18366314553487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.675726450753378 0.664432314841705 0.73501753702759 2.18409656932055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.676340888367986 0.664190145295267 0.735390790503937 2.18382172852808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.272763634403657 0.291008694944849 0.0688681328541115 0.32760704504499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.27276503784346 0.291013184216653 0.0688661200427844 0.327611409327399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.272772886134728 0.291012713946382 0.0688579158094011 0.327591932365331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.27283638462685 0.291052498631734 0.0688666515998233 0.327670141301219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.272901321511076 0.291302003846102 0.0689191221877239 0.328193296348083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.273085685788838 0.291591047856642 0.0689860967282046 0.328793983787687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.272787125819329 0.291017587904514 0.0688616731725268 0.327571007579658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.272862977865638 0.291060233345542 0.0688897586626017 0.327633989326865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.272937454755446 0.29115450541013 0.0689143182006045 0.327773721891099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.273413805625189 0.291770695076196 0.0691529406823073 0.328843788761429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.273956350366984 0.29256684728101 0.0694059448810465 0.330157574083278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313433733985873 0.401590871863405 0.104600869826187 0.347054841882104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313425777528692 0.401596242537374 0.104606665541379 0.347070514513263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313412858018537 0.401544589921935 0.104602164212109 0.347000494560948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313396723605261 0.401449298568782 0.104604612523311 0.346892708254304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.31336188110132 0.401063971229051 0.104609830878228 0.346393564045883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313505453457026 0.400756841616728 0.104702593839938 0.345883316860466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313480881808752 0.40127860455434 0.104563477787776 0.346595148885126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313533436823561 0.401069550664262 0.104542838303755 0.346322453951676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.313723852430623 0.4005642649022 0.104482306466284 0.345598577553538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.314261767591001 0.399273964202099 0.104501498343679 0.344011179186503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.315077546975967 0.397017662857323 0.104434600556418 0.341301701096048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289541499673516 0.325555084478198 0.0985882836747902 0.375003957378133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289579485903467 0.325569212740273 0.0986007374209327 0.375020123112646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289621285459269 0.325578640280529 0.0986200237447088 0.375026490576016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289649489390399 0.325608115908102 0.0986434261790953 0.375090278808074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289994464381054 0.326119628030371 0.0987716053053586 0.376086900651012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.290093009281453 0.326260543460643 0.0988445060718365 0.376373334980028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289544424034148 0.325609621475441 0.0985954538417433 0.37513956520546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289510195272349 0.32567285366313 0.0985954808332041 0.375286099121429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289508135694836 0.325758048287211 0.0986416347170092 0.3754654990712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.289930744019163 0.326633275648002 0.0990832424793193 0.37718455812645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.290398803132714 0.327584972752671 0.0995898405846284 0.378840111449464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494658422549395 0.345084724064039 0.406291320806119 0.68094595487839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494653069662135 0.34512034459566 0.4063391852452 0.681062617442992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494635483960945 0.345131733229941 0.406361365389403 0.681118104992929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494632904874384 0.34518783182205 0.406378537386321 0.681311940548141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494442730900982 0.345334237219762 0.406373006558297 0.681949252762515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494293159963918 0.345481777164386 0.406411120530825 0.682581882552593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494555372131152 0.345106190208851 0.406192581981023 0.681074181391244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494738513286056 0.345164910170693 0.406270566054611 0.681310232774963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.494779166814929 0.345320270529418 0.406319246439463 0.681911079026328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.495390544912396 0.346421313854188 0.40621048339752 0.685825090912496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.496266806976368 0.348028106102256 0.405993884940659 0.691363068252906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246651524626168 0.2297814978546 0.0809186549544531 0.248030179349662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246654460227626 0.229737766384369 0.0809236561810947 0.247950412576528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.24663234988506 0.229730534845887 0.0809229566524045 0.247965018409578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246626469228037 0.229689122938232 0.080930799145996 0.247936051270524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246656124790813 0.229547943383425 0.0810321587570377 0.247849711093774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246597279206823 0.229373320039473 0.0810832408497979 0.24774548852456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246679919751403 0.22981420157388 0.0810289281971146 0.248053352016785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246717318293323 0.229902885656505 0.081128630997917 0.248190220682749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.246949066269112 0.230069671154694 0.0813876141621941 0.248280204131859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.247652007158447 0.230669601387992 0.0823968408478179 0.249081439518528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.248961103960401 0.231469087386948 0.0834687670971936 0.250634997899055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00972644360134 1.00647866373248 4.31455474033684 8.03550944473543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00977947137911 1.00646971234359 4.31466782466415 8.03550591164421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00986564951342 1.00642587276026 4.31477136516938 8.03524953149291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.00994508909675 1.00640868039915 4.31495286688221 8.03551214411153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.01024788289051 1.00645625860999 4.3163404944863 8.03742770708038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.01075138973871 1.00635226555444 4.31753659640537 8.03795310396692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.0098779501047 1.00659863109359 4.31470750610462 8.03638029783375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.01003535697623 1.00670546998248 4.3148879735739 8.0373443664488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.01098392136149 1.0072713624847 4.31763946988421 8.04668641511637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.01275555479416 1.00803817262893 4.32341661044298 8.05573913402136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.0138361935602 1.00861259129757 4.32756291980991 8.06267528109665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258334008051678 0.372628960237223 0.112382792176886 0.327395699451078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258363158533517 0.372612165203865 0.112415171904556 0.327375152669682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258382612271501 0.372606731549307 0.112436726622412 0.327364749034082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258428778691071 0.372598591445526 0.112479675492961 0.327361776750655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25846765180407 0.372508448376586 0.112523481969711 0.327219096024786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258597433008668 0.372361760830256 0.112618043852934 0.326970649912292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258341889567119 0.372626455418839 0.112398958077818 0.327409448929316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258349844425145 0.372618704862872 0.112392207414145 0.327388249582433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25833745751085 0.372609232580045 0.112304701175859 0.327378065376041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.258272826902096 0.373268844264717 0.112231944992293 0.327690428347113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25840693303742 0.37317162671358 0.112271501331519 0.327740173810605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.304078633993931 0.328524399422316 0.162877213084228 0.288498701945521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.304087902362333 0.32854534630055 0.16287095373691 0.288486094058662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.304060233855951 0.328556976517866 0.16281806179105 0.288471639270279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.304001649289207 0.328586503941116 0.162700013933121 0.288418717999228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.303825542473193 0.328689683667946 0.162223070522854 0.288300757566314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.303730622205583 0.329021245387743 0.161803167751554 0.288273515825975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.304037171011944 0.328468831640323 0.162852871764143 0.288541722227704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.304027313522507 0.328339709874196 0.162804562217622 0.288435458347204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.303935967079731 0.328187554437524 0.162642229401292 0.288347158783685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.303666608525952 0.32771661057099 0.161855026276811 0.287943153908995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.303454429672426 0.327599898428798 0.161085293285584 0.287916711255422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297659161154852 0.289891802666257 0.0978523653972523 0.365085465627293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297642279817203 0.289894176992039 0.0978711094796962 0.365071560402866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297662680032953 0.289886235244466 0.0978896443150164 0.365031265899254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297705867855976 0.289926853480936 0.0979120819864533 0.365086611805159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297694788020851 0.290182703967619 0.0980197477221378 0.365542224964358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297672912318322 0.290432004809741 0.0980903750285826 0.36596382023979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297671179370598 0.289885843658705 0.0979233996000897 0.365067284143134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.297765342261644 0.289965635460216 0.0980340971927769 0.36523581236494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.29786575528885 0.289990902535553 0.0981859111838108 0.365261975121676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.298546774016658 0.290762680004638 0.0989472368165052 0.367052517444125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.29940952540798 0.291383347003304 0.0997873103312976 0.368587107775676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.507080660487858 0.564675310326296 0.552693109900028 1.61357130344393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.507060754875958 0.564653620077802 0.552665777011131 1.6134316786635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.507047028011833 0.564684119941786 0.552665635085577 1.61350065176874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.507008813517337 0.564649376483601 0.552687916472357 1.61331485517566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.506949134417326 0.564655012024657 0.55273043801946 1.613264527118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.506950078069692 0.564834556636952 0.552811202775209 1.61392357942141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.506962995188959 0.564562753300502 0.552669095053426 1.61304902272861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.5068204549904 0.56450863427229 0.552687350811185 1.61280034817298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.506594689637644 0.564248230380725 0.552655857035223 1.6117475365873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.506074041906315 0.564149943508515 0.552798171518668 1.61165702975537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.506034841658725 0.564346535972031 0.553122374278767 1.61275996907697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.481291339143082 0.468270658805206 0.779587709426029 1.43633238242803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.481249047132517 0.468174674217307 0.779497459369903 1.43602133622093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.481128726848205 0.467704289833169 0.779447753828061 1.43363275290481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.48108481123348 0.467497754951419 0.779283248548006 1.43288038188468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.480780378597705 0.466476576541496 0.778320927118078 1.42920709103063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.48060097519779 0.465613167089604 0.777542622021654 1.42630068557789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.481359153765477 0.467904009663545 0.779880941260178 1.43448456171325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.481456107597931 0.467920181029231 0.780156100832276 1.4346366884778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.481668063237331 0.467756574258351 0.780629627162594 1.43436881049201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.482597668320674 0.467381380009988 0.78188711633037 1.43309455663191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.483773723080374 0.466902957530809 0.783366047950672 1.43261351377867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.147284826943245 0.168422319382941 0.0261070447493719 0.119695717471389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.147305961428111 0.168413721298532 0.0261148985238302 0.119683530011332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14728788174176 0.168362110392048 0.0261007735798036 0.11962326563348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.147269682195569 0.168307830186035 0.0260850394590186 0.119551417991446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.147130087961929 0.168236622193552 0.026058465782675 0.119489010641296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14707841776033 0.168112933380138 0.0260698549818981 0.119378519595402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.147522231675231 0.168760589778489 0.026255553513635 0.120166166815461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.147734916150502 0.169167636954503 0.02641181873236 0.120734570491321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148146768087248 0.169906030558081 0.0267118906452831 0.121777311181968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150141745107928 0.172635607088465 0.0280944798618679 0.125816371861596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.152361923370439 0.174997796393038 0.0297278724343594 0.129587107297918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148515125066397 0.1540496046113 0.0272957222175661 0.0986781800957846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148506593517012 0.154034667620807 0.0272940575652361 0.0986629703100117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148483570911965 0.15401744447772 0.0272842893741331 0.0986363991281932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14842717461441 0.154007639128267 0.0272603897159716 0.0986322460390199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148289964817283 0.153902917692907 0.0272342765927471 0.098517579205578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.14818348647824 0.153809935003121 0.0272344006055257 0.0984275422087712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148642563115158 0.154030350067845 0.0272372222334299 0.0985453889506736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.148758891402547 0.153988376169232 0.0271849325476805 0.098386201124396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.149068036932334 0.15393146275689 0.0271193325293753 0.0980980860217279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.150449824015877 0.153771313066993 0.0269174044191337 0.0969700277743581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.151882917968892 0.153814245252094 0.0269706356676091 0.0961079092150399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196218094122305 0.236228447727744 0.11240285340539 0.341891083614329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196233012844989 0.236254448392902 0.112482958499094 0.341925869453007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196189217226258 0.236300602804765 0.112495543706128 0.342026438602616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.19615733467092 0.236375954761816 0.112569119975893 0.342162709788554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196036839064761 0.236803937425975 0.112821300253654 0.34302721538201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.195819294084927 0.237220116498378 0.112996466988851 0.343929329323473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196265349073341 0.236206844333632 0.112548923415696 0.341767204019369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196328748745476 0.236078806986391 0.112653778121218 0.341399639031088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196436232980509 0.235893012975185 0.112951943170935 0.340930464375238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1967279541156 0.23560428421556 0.113913184661114 0.340080352660653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.196933108497581 0.235609179041735 0.114570005145564 0.340236782124446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04737276239141 0.895514886269509 2.06912232350145 4.02977354858731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04737054455933 0.895472431153313 2.06910511280531 4.0297053405252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04737229116845 0.895440981950898 2.06916436530002 4.02969474231011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04744980192756 0.895327926562175 2.06937117381901 4.02926031889914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04743830656337 0.895065734821881 2.06957809503977 4.02916964304309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04765829663359 0.894753934690803 2.06968940113978 4.02841085195155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04727484757647 0.895425850040372 2.06915289959259 4.02937538748071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04732001298434 0.895334754486809 2.06919599577399 4.0287723927075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04735935946118 0.895243712319856 2.06898534365142 4.02855370393807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.0477894157291 0.894744035047212 2.06860329401891 4.0274258958824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 1.04837305735105 0.894150832964296 2.06849692284548 4.02760925711005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12957841254478 0.133810471989602 0.024714005316114 0.0877459694970581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129508380096328 0.133717526933981 0.0247059031677522 0.0876554253970378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129494672831074 0.133630238518471 0.0247015678477862 0.0875529597616101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129494368159326 0.133481894727267 0.0247026097838396 0.0873883480847787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129306528196498 0.132806782679296 0.0247017102885841 0.0866925999253754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129181473601321 0.132236685888151 0.024708060657009 0.086096654123351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.129246471020368 0.133795561062984 0.0246720101721638 0.0878438480982558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.128938110318333 0.133779064546542 0.024622541116994 0.0879184484202919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.128384702139678 0.133851102576472 0.0245787389641991 0.0881960799930875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12661207946858 0.134370347427354 0.0244390038917526 0.0897154364172999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.125282837764761 0.135407001381702 0.0243870448349601 0.0917994746485584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.620233384474915 1.14806477320823 1.89023790048743 7.20686990120808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.620205412493515 1.14808262789876 1.89022902534372 7.2069749906254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.620183161187981 1.14810750144808 1.89025846156731 7.20726158222433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.620135257334008 1.14813695074888 1.8902969515692 7.20767064446273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.620030170995036 1.14754053008564 1.89063506704158 7.20001030418891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.61979933241712 1.14768861106174 1.8907739531999 7.20185916131806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.620127561554505 1.14671626249336 1.88955407347386 7.19543788082937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.620031660974001 1.14742808215329 1.88915453159676 7.2044341546855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.619964914958987 1.14755911481799 1.88878735629699 7.20465794503162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.61974090571935 1.14799106343195 1.88739434666318 7.20658409086026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.619813257945865 1.14740489719762 1.88838122729406 7.19900237611615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281943057421925 0.502171688013105 0.418266603160479 2.31098197162464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281959826455937 0.502135290133191 0.418352743172613 2.31087023492597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281989758795187 0.50209976349856 0.418428042401328 2.31100394242678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.282025642919805 0.501998340073353 0.418550148310065 2.31073428103028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281973846458981 0.501421617562302 0.418757592730271 2.30937648222179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.282025036304454 0.501003669973042 0.419030047080919 2.30839069107235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281766496430296 0.50228823192361 0.418222414342342 2.31134919949834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281581186842808 0.502449195868683 0.418189901071243 2.3118732511146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.281197850848594 0.502585449718167 0.41805287655336 2.31255555072686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.280446754832063 0.503269775083669 0.418274401902414 2.3173353269922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.28028145869382 0.503699229714884 0.418627569652757 2.32366084805726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126150059625245 0.62207445707026 0.0335969818290877 0.513619777754669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1261602108554 0.622183538994888 0.0336150227132978 0.513810817931094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126197611693719 0.622231684487457 0.0336321981570242 0.513905912078815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126236674924206 0.622301823051687 0.0336658858859503 0.514033665453792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126565464739926 0.622834663743659 0.0338712220995653 0.514952975729878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.12686028927436 0.623428231493613 0.0341361101084686 0.516002854883478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126133624998603 0.622118230438717 0.0335658269674992 0.513684499936015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126117591361532 0.622206014707227 0.0335359700959127 0.513804999909792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126161782179264 0.62236775002176 0.0335629959432285 0.513979171701258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.126809205832875 0.622905606929907 0.0338669888066586 0.514543002919604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.127815162128463 0.622801866637285 0.0344575220440326 0.513996337313444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178444942207363 0.5162264095177 0.121505575119944 0.314090876680212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178577022456423 0.516364744840023 0.121786188091744 0.314179859083478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.178846098726899 0.517095929711824 0.122219947234186 0.314187633931212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179029158762782 0.516796524827734 0.122506292527684 0.313704340147892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.179093487481211 0.517207711667256 0.123649483637556 0.31218231730539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.180320449353205 0.521421904566334 0.126107550795811 0.312000447485229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.177841281103235 0.514443319024444 0.12096766294753 0.315299763946613 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.176618023949455 0.512416265149067 0.119778699165472 0.316051951136147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.175341632136224 0.507636571674048 0.118427312022402 0.317911437188447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.172589585678084 0.485979864439707 0.11392093090638 0.324344047459228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.169079106960395 0.467259117483667 0.108922197745463 0.339794013933548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250874643789093 1.23787471403546 0.105587624851782 4.97043930776447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250835213497914 1.23793008973675 0.105503889907459 4.97067139559484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250731598551421 1.23789878492124 0.105315913284608 4.97065555940935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250758080427301 1.23797494294689 0.105234762945492 4.97099832431319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250588087179427 1.23840713829616 0.104695568874909 4.97199574449833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250341700305993 1.23871549540903 0.103991248544088 4.97307192054216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250734725474534 1.23710657627423 0.105201210186463 4.96930295802327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250740907767223 1.23661648831873 0.10513580731073 4.96804392673023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250792189764626 1.235024580104 0.104790652530898 4.96424576157228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.251866971118544 1.22904393118256 0.104501435652448 4.95308852011917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.253754103111398 1.22132171732523 0.104888646140516 4.94352383731948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.413426799871967 0.661707233425128 0.515198388808095 0.900704721390526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.413790991520788 0.661356648354766 0.516422320797303 0.900294421752733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.413992303308938 0.660879269383822 0.517181774586118 0.89907324940696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.414525505480153 0.660472857185171 0.518919363522708 0.898702876960603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.416634223260369 0.657122642305113 0.525492420447407 0.889039025006767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.419670676242286 0.660795130181919 0.531427470886153 0.904276706921398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.41266482676823 0.661114390415233 0.514723553264883 0.898042295693368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.412723601341274 0.660038846518013 0.514452887685405 0.894290497112789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.408118736654602 0.657960331871228 0.509055318370195 0.887371582119972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.400674923422526 0.656117343605681 0.499038355220499 0.867686130821395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.3883755293868 0.657313859527972 0.477962000411907 0.857696635611886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183212280085076 0.957571166793858 0.0543222653563803 3.22279731436823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.18309792886515 0.957419943978139 0.0543806823655633 3.22240885981302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183010396941516 0.957182848721875 0.0544330277492225 3.22125845837476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.182669554473741 0.957008260523989 0.0545115138563584 3.22124543283845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.181320623340419 0.955774001881211 0.05459905297729 3.21788561961112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.180344802698649 0.954775911070013 0.0550754954779679 3.21626359649058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183464459334741 0.958257283504249 0.0538797085529662 3.22839704684346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.183640510366266 0.959319011937909 0.0533468599408906 3.23579963596575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.184310139035257 0.96143027902408 0.0526105560130125 3.25124665893429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.187034647767881 0.968931740045479 0.0503856905113657 3.30966745560039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.190545001267888 0.977348360449549 0.0487272610896127 3.37649513396617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.549903602454204 1.14639702079993 1.64296156167814 5.3641110053692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550003211880436 1.14629392292987 1.6433217558626 5.36341168083959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550071639661481 1.14612425204796 1.64361685543653 5.36230735032244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550300103422396 1.14587865366896 1.64448452522363 5.36028913084448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550966391938613 1.14500405337955 1.6474239718289 5.35374188351007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.551494107467927 1.14450047890123 1.65055019801427 5.35145145844017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.549690713695483 1.14654102396227 1.64189076767369 5.36430864059329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.549512726738687 1.14658000945941 1.64116902356986 5.36347410092497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.549041261818337 1.14693353713411 1.63941208651052 5.36436195398005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.547238331413632 1.1491778822742 1.63469454547026 5.3800477794943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.545645144392721 1.15351792275618 1.63252888492259 5.41049291661168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108283582797137 0.192331451187273 0.0189859008742778 0.150653400989627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108124645767195 0.192319554022504 0.0189235168226131 0.150397527365749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108001687292693 0.192356174406649 0.0188839592248666 0.150176079528643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107678434978757 0.192457690410507 0.0187668020040928 0.149760224588731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106246531347573 0.19254572179423 0.0183442322334035 0.147537525355113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.1048912481571 0.193759911850702 0.0180505229326416 0.146022827519149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.108011795686015 0.192861111804435 0.0190270139901187 0.150845957607086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.107507024546978 0.192859178540626 0.0189748429902449 0.150657748599697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.106607713893931 0.192999036051132 0.0189606134621955 0.150207429847773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.102457170071703 0.191679572801168 0.0187880550816721 0.145743506423612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0997093918921566 0.188116831847729 0.0188856956190086 0.137363677917691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250535797082795 1.0578556219964 0.413113064655289 5.45366286160505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250560894823599 1.05782627379728 0.413207004379233 5.45183312419365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250584804707735 1.05776069351433 0.413372235383644 5.44998631070838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250741467467125 1.05769453585524 0.413533677115044 5.44721818696578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.251384651122871 1.05759879635575 0.414639448487759 5.43780561619715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252198504255912 1.05758710650053 0.415710490483095 5.42780507380972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.250739602910356 1.05747602802868 0.41414308643611 5.44289803273178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.251064648328548 1.05730045089637 0.415312597583654 5.43281477835554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.251923801590218 1.05731089002838 0.41781363502343 5.42106095934978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.256951876121222 1.05769217639573 0.430699866451588 5.36491803120894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.264951096621887 1.06217169597269 0.446842252589096 5.34482878263028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252590074154809 0.672740422771558 0.326384139245423 0.475798383099589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252246561004482 0.673672713417169 0.32652788267097 0.475430527353415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252328427424414 0.674789303236826 0.326739341210166 0.475271437586496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.252598131157982 0.67635821230027 0.327363203706962 0.474066706341342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.256159874297602 0.679566197027265 0.330461674600548 0.467053068346977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.262922347911721 0.681703887281616 0.335042390021801 0.460164842581976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.253809152262337 0.672440982973208 0.325713122975427 0.476048098206252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.25522215152807 0.67186259125946 0.325023265208507 0.476249111003874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.259547827912006 0.670307585134022 0.324488075164385 0.477454344113734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.275458744707666 0.667111487930573 0.316482447174896 0.483348556277814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.286238400933244 0.659620732358674 0.299753099396627 0.495805550216598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550248732530483 1.11238637576639 1.46615673112975 4.57693622668147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550255708804048 1.11230742630319 1.46600622040339 4.5770170060594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550246539507216 1.11234270497027 1.4658787354198 4.5774759564987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550373893482036 1.11261251357546 1.46591447995868 4.57899216148355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550243412105617 1.11327703415669 1.46399405326565 4.58525905326898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.55045538255608 1.11358260897075 1.46353161246162 4.59137272994569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550162260018796 1.11186090520357 1.46616213905191 4.57514559134242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.550005577074969 1.11094869906979 1.46598015427229 4.57219665899734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.549929799444747 1.11022047407798 1.4664155883154 4.57080823342065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.549342627040566 1.10630561264153 1.46665352507198 4.56532817858525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.549184295994234 1.1016930526689 1.46890152152106 4.56626177372132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.05179592767777 0.075117578892161 0.00561374211380376 0.0531494926285803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0517558945295816 0.0750364174085197 0.00561129579709817 0.0530695842933662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0517692584298503 0.0749807705630245 0.0056140260951402 0.0529766878101644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0517252274574478 0.0747264626113311 0.00560289342490482 0.0527410390368396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0516737536039299 0.0741610923217354 0.00559617508276148 0.052109046518938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0514719929951226 0.0737305395159483 0.00560732788448267 0.051414621670118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0522391554558238 0.0754358394111784 0.00576417268267472 0.0535258146011379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0525768229409837 0.0757486442376964 0.00588425496871626 0.0538290986874016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0531337724925749 0.0760037563558937 0.0061664620198539 0.0542733308368508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0551593768319166 0.0764779245921959 0.00755387409055394 0.0550492046717626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.225) 0.0578351558897923 0.0768371348382345 0.00907215008762456 0.0550960359129188 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.260909241447672 0.412095762215245 0.0491366582623087 0.0908417589881699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.260966545992999 0.412616946441098 0.0491988373380154 0.0907351400629159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.26095675748125 0.412650292394101 0.0491991579033766 0.09073851215558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.260152522913572 0.412183382031771 0.0490089516433612 0.0905031207129373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.260141541645034 0.412375389864669 0.0489992158758497 0.0905625441991399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.260183062532763 0.412198615713233 0.0489866645356209 0.0905633581705168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.26122151772435 0.412203929129419 0.0491134712910422 0.0908332816028553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261010255636357 0.41168151139424 0.0489241001749135 0.0906845732710938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261675277461975 0.411808430438314 0.0488789737632745 0.0906661734205325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.263982024033922 0.411764766891405 0.048891192916824 0.0903412228920156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.266259618622291 0.408814691313621 0.0486871985945689 0.0894421403564067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410920034772311 0.507746932643489 0.107171183769793 1.2225268135539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410959970110657 0.507778582267549 0.107174593640348 1.22265550587431 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411019543042987 0.507821591290107 0.107180654642624 1.22283157894568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411120225749755 0.507892908583338 0.107191344322738 1.22312132109407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411796490588522 0.508341722265345 0.10711139447643 1.22468319708013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411932005573323 0.50861611455299 0.10719505216192 1.2255860334915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411108520615697 0.508143126765477 0.107292982863057 1.22435944915156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.41112737453136 0.50822319754861 0.107272794547473 1.22468699512089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411219750613125 0.509259888815201 0.107062872032546 1.22906271575341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411652063350703 0.511088036506783 0.107081678604043 1.23645084428025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414650060325565 0.502700335170454 0.107535873113831 1.20166038697541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515869367010423 0.225243136128566 0.412914356871664 0.0202195821054938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515871603554332 0.225123698451512 0.412906635836387 0.0202122068737741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515881155962263 0.224951198451512 0.412898645111241 0.020200465162688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.516606495878508 0.224602099341298 0.413179151585317 0.0202066437214646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.516651647651557 0.223391475392389 0.41314052056995 0.0201284332275484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.517353140852168 0.222161973848223 0.413325427413662 0.0200790715156815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515876157378695 0.225492690176938 0.412914463805368 0.0202235132702849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515885725367363 0.225719285606726 0.412914129586149 0.0202268522182554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.516041869843283 0.226205102029232 0.413100958689816 0.020275062709113 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.517476854734962 0.229953170719903 0.413248570907137 0.0203789142849318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515561279511593 0.230156436210821 0.411673404803164 0.02033679019853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466554759917529 0.48657890065033 0.132174929982964 1.14040982853454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466528055543471 0.486529001706136 0.132173276795812 1.14020185804494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.46650130441225 0.486481322973105 0.132170958578112 1.14000098537293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466271535689617 0.48577036981538 0.131990394448683 1.13702233632687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467563726433264 0.487127678961218 0.132039096018243 1.14239694906101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467301084980919 0.487009825708571 0.132045473820282 1.14195447863753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466554124925071 0.486590638973538 0.132183887446837 1.14044194969424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466547682994452 0.486626080904156 0.132194431413987 1.14058118231201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.465765025446355 0.485832495630686 0.132192626591164 1.137035520788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467090140906352 0.486184607386837 0.132144092344531 1.13874655796908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470758134195574 0.487714336617884 0.132252735768569 1.14567247566909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488940198075737 0.451234631261329 0.181837469417065 0.908224428080533 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488965808695206 0.451270940995842 0.181838371911135 0.908361945759385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489010743798451 0.451289374624161 0.181845636539577 0.908434059742233 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488866785169268 0.451908492563605 0.182084069695654 0.910790984793801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489777609021701 0.452659041421934 0.182168988947892 0.913530847068311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.490913335309375 0.453245236568187 0.182097529237344 0.915804211930175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489772507479084 0.451503940439409 0.181739870116703 0.909280524547722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489663378443174 0.452067210277899 0.181969147157772 0.911421731380605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489959702166543 0.452645487370352 0.182254294066791 0.91347569561695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.491964954000174 0.453748772076891 0.183098465815683 0.917869682969773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.494500048069348 0.455846107707966 0.18353248679019 0.925877757772693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374635874757618 0.442913191029077 0.0924287291699392 0.918111829392221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374793919441748 0.442954741106119 0.0924450696411264 0.918269346359427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374906822369328 0.442980488409663 0.0924524955453492 0.918364015895375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374568213757372 0.443244525964297 0.092493260003091 0.919142511119366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.375072032800731 0.443433100163634 0.0925374078530269 0.919658439160046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.375980440846455 0.44361914931878 0.0925724419605349 0.920385912819864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374623728378573 0.442933990720911 0.0924246458586008 0.918169941448456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374017908019762 0.441971050278089 0.0923086577873278 0.91435449130763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.373105048940112 0.441394824580115 0.0918165015611142 0.912302043479939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.373226556853627 0.44077354010458 0.0917298714289614 0.910083097692727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.37467791601749 0.441915536913786 0.091908609841521 0.913985249090971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322571551000251 0.510615339802697 0.0673636512155139 1.15260945700695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322821294185481 0.510262197048287 0.0673138781446444 1.15108730392017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322820840577843 0.510224515500669 0.0673227082306299 1.15093331635785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322478192081589 0.510338505601446 0.067358214467603 1.15155178200247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322876875583674 0.509120298563222 0.067293264767242 1.14654201688514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322614290319835 0.505466145331682 0.067312785601753 1.13178545532793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322094862560106 0.510960934104077 0.0673555488749624 1.15417255728042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321933843157121 0.511185086342884 0.0673202512548218 1.15509218299936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321975420290772 0.511969120132701 0.0674303004736394 1.15832662594082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320649454062751 0.501840269535473 0.0675799138446004 1.11780474564231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322780344330881 0.506775394809383 0.067323162794492 1.1382352585281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.403706244834475 0.39002882886106 0.114348649144053 0.690171774156382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.403684732879482 0.390007473024211 0.114337909177885 0.690103787702034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.403673116845727 0.389980430830118 0.11432837441192 0.690018259268507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.403664655523646 0.389929536315351 0.114312804799508 0.68985728348478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.403235743222471 0.39012643262814 0.114301011418219 0.690491968301525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.403428468120034 0.389917741739783 0.114178931507427 0.689839080099937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.404038582387218 0.390119879493972 0.114436681165895 0.690478099335143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.404385031051072 0.390211868242214 0.114528495297171 0.690786259611899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.405212801796501 0.390428672742917 0.114744721286696 0.691501152309548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.408640060482026 0.380178326573152 0.116278713574276 0.659165921335276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.413378037966883 0.382266432231413 0.117677459834047 0.665703862783586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484255813299669 0.523769499690674 0.126086403048318 1.32032793623824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484260272006489 0.523772507442612 0.126084319520486 1.32034116740937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484266980533621 0.523766122946488 0.126084083233315 1.32031355470275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484559348015047 0.523683447110147 0.125898044768289 1.31997509375147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485523750894148 0.525316261008452 0.126077325912455 1.32676857131108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.486028688983699 0.526014767504169 0.126235658310897 1.3298350903104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48396611728224 0.523755555907083 0.126035339919144 1.31994028592669 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483471475823095 0.523443575200057 0.126088588691141 1.31841169862911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483713344385641 0.523650490192329 0.126126045750536 1.3193127644548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485073403804264 0.525117624680973 0.126255455628199 1.32592650848944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485730806597742 0.529522701582248 0.1268012077094 1.34449393594407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360431671664196 0.0812927342374222 0.148257512691419 0.0217541753389958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360424683309029 0.0812804736842926 0.148259691671666 0.0217425884111393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.36041985507031 0.0812687327818181 0.148261720105434 0.0217331470849337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360870519412244 0.0813318841329765 0.14839757208777 0.0217488203473094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.361329985758226 0.0813117813007686 0.148515424794239 0.0217428156552249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360958946054321 0.081280912784699 0.148327430995566 0.0216902419910989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360512731343963 0.0813733778790193 0.148266296413709 0.02181622021944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360599214604517 0.0814417650697034 0.148265742903887 0.0218693600448696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360738364778626 0.0815880037887718 0.148272030545014 0.0219778168791965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.36172858696122 0.0825346934129225 0.148088351686916 0.0225421223857003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.362924986145468 0.0832147865759213 0.148568562567981 0.0230245870617475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234548573765186 0.408606402988393 0.0431168651886877 0.0853737553865834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.23453015804909 0.408580567753919 0.0431215705263793 0.0853687181923694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234507444487619 0.408566395268162 0.0431272031419439 0.0853671761437513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234459226681858 0.408391234694869 0.0431434196127278 0.0853387308925714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234219960670661 0.407525422059521 0.0432182220298992 0.0851881967376924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.233973984516938 0.406409655390565 0.0433344864123542 0.0850350463500777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234664216658149 0.408328235224033 0.0431757372013993 0.0854179354097795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234918819277769 0.408705585013098 0.043185847196048 0.0855065795122544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234665001136392 0.407650090777098 0.0432726966271108 0.0852626583423992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235116528120188 0.405100865208847 0.0434872178195444 0.084924274874405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235643966204316 0.401635180329558 0.0435090744839344 0.0843638978359934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381182842475465 0.55171054302441 0.105360248942257 1.40337027802085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381251860066805 0.5517480910623 0.10536249093229 1.40353766766822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381324462231892 0.551785057232801 0.105373780674587 1.4037074374614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381441019742041 0.551858472659053 0.105385779737808 1.40404067599457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382098667270227 0.551913999556836 0.105335559783686 1.40416832574548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382948636189145 0.55234677885286 0.105457452863599 1.40613038854436 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381461964261663 0.551920511901271 0.105365264270954 1.40428031821013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381787954789404 0.552148671576508 0.105378117618844 1.40527429578027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382248410816923 0.552200431278209 0.10514182222342 1.40506615163178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384672307041556 0.554932722662364 0.105136868548365 1.41726227974038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391997385455197 0.547900828107189 0.105630370298845 1.38551278885851 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563578607470637 0.259435573384021 0.417980766615781 0.0227169971845677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563598455746498 0.259666792965892 0.417958493891483 0.0227350009954035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563627184022359 0.259844562621064 0.417936630633563 0.0227481559721155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563666600243392 0.260281075724512 0.41788795635562 0.0227828929214427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563806123002013 0.261971410148852 0.417713608404403 0.0229202790561044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563955378174427 0.263964979587991 0.417526024996626 0.0230787282515976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563685639194774 0.25925597200471 0.417939015762417 0.0226896667664144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563775785070978 0.259072943039193 0.417906057847219 0.0226509827816575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.564167342519151 0.258558405720024 0.41842638252442 0.0225761911722541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568323175086928 0.258561227894377 0.421041551859504 0.0213320333323877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.571420327731068 0.257295801873037 0.421127962996716 0.0212114854762229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484775088627806 0.451377696294777 0.12945923799213 0.987011496185643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485212800953925 0.451855542083506 0.129514922271726 0.989156322476399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485209952639318 0.451878589836315 0.129514031603893 0.98924576045047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483061338376707 0.444743111018214 0.129681134489391 0.951034388410832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483125234444124 0.445040601454727 0.129681108778648 0.952138416470884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482872604821995 0.444798529971955 0.129583264936132 0.95114394295762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484832498164973 0.45129157988524 0.12943085483364 0.986549059702909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482688506021217 0.444107833856505 0.129565216161814 0.947948845014017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48244968897679 0.44469738941866 0.129800759232519 0.949667465135063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483358754235555 0.445126081050339 0.129660000509634 0.950599091787097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484310222240408 0.445129041492977 0.129950741022588 0.950671149406981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483070571373181 0.502696343462191 0.201079263865075 1.09573481367903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483060168917519 0.502751805945138 0.201071400398949 1.09596421962655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483071456775637 0.502791561743228 0.201059642221913 1.09613095613755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483092280786551 0.502890837323037 0.201043339696826 1.09653943538109 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483162524020264 0.503296608127949 0.20097040646778 1.09821843388214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483656578826907 0.504322073363012 0.201313160725696 1.10243611686744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482496752936174 0.502419163149203 0.201036033674218 1.09465997580717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482548113971597 0.50259531573776 0.200996991667412 1.09537526378642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482241034839231 0.502793571665403 0.200797106410149 1.09607242249454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482990362587949 0.505583698386163 0.200972670531077 1.10702320099602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484702801701694 0.508917907650867 0.200699824299159 1.12014641889463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.311951812437013 0.421949336951414 0.0825102915676404 0.83337957735469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31198852046621 0.421935228922217 0.0825055652137884 0.833331852540181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31203272776548 0.421938353009808 0.0825029325854872 0.833343923739407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.311657452182591 0.422061339810009 0.0824929677071921 0.833601831028768 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31150356459601 0.421411077952124 0.0824304601833201 0.831473406360024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31154398170581 0.420821672493184 0.0823171910770351 0.829557864748645 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.311710414343279 0.42195589899521 0.0824954144283045 0.833402090941788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.311507609963717 0.421979675637545 0.082480972244299 0.83349537537393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31102593847486 0.422623464473312 0.0824026935724456 0.835577486702686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308261063301328 0.422947087307382 0.0818994133551031 0.836284076534552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.306632865538698 0.423451103709684 0.0817503538934775 0.838189892396657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308738312097672 0.436633116968323 0.0686071317744665 0.872821226759575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308761429905891 0.436621082721748 0.0686153463725669 0.872781838208189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308827912097672 0.436590297790241 0.0686320756571948 0.872671263674911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308918123056576 0.436582882721748 0.068651654964061 0.872649195018805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309299262798412 0.43638702338491 0.0687564462977578 0.871958151727968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309700047729918 0.436256302836965 0.0688626361473535 0.871502318742087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308617224426439 0.436613941625857 0.0685552839946587 0.872765745677516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30854472031685 0.436707636146405 0.0685099548321125 0.873121324037518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308386442250466 0.436735493680651 0.0684178266381737 0.873252403765035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30699229877951 0.436431334348284 0.0680044379497833 0.872351623192255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.306181367363848 0.434532443638096 0.0678164899441059 0.865712746226571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382033447290521 0.4427706768985 0.117356710751481 0.858753708809748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382583543659555 0.442544665673827 0.117395319809716 0.857878809983011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382634917329767 0.442484382429147 0.117401228345574 0.857663420021727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382750723180831 0.442382119131275 0.117411899694723 0.8572964041292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383206337542533 0.44199788109936 0.117450474731239 0.855899291175203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.38366579099998 0.441648599184466 0.117474761026984 0.854617645973888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382235849421014 0.44285947183858 0.117406598800608 0.859076477836309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381976493597222 0.442441474361465 0.117467254266963 0.857710194419565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382491598650414 0.44261085202104 0.117590866229466 0.858320175294172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.385403067954934 0.443539494308274 0.118275282914163 0.861590008225095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.389977762192885 0.445532264492605 0.119543902062406 0.868617683295397 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471535823086626 0.579639883955453 0.136000682973247 1.55848371151325 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471559448975672 0.579627369019465 0.136004253827949 1.55842346616248 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471112861059998 0.57945180850568 0.135958117043161 1.55732920135563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471132203389543 0.579429214755679 0.135953689247102 1.55722931061202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471712497200136 0.579099690131726 0.135916475837968 1.5559927782276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471089818741469 0.578909341175374 0.135945717068178 1.5548583674324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.472367435538253 0.580034062099725 0.135901849533715 1.56056726915002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.472072381656036 0.580142734511126 0.135878952605689 1.56074582114427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.472372401570687 0.580663285008994 0.135910563349897 1.56309049349602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.475185420401362 0.584078445728426 0.136095769176511 1.57927741068979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.476522956863281 0.586829954070756 0.136554567820435 1.59156939510894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.34790279874025 0.0943880250526594 0.146625713853619 0.0264669199116078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347923767622852 0.0943573036948094 0.146630885699211 0.0264597474813682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347948261257929 0.0943079302860398 0.146629780821471 0.026441773087791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347983218825115 0.0942275950668035 0.146648967619563 0.0264176224532179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.348578479773838 0.0940813490434644 0.146761388850291 0.0263982517209378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.348724267309249 0.093807007683691 0.14682289222343 0.0263227276613561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347906720946756 0.0944626728602972 0.146613792306579 0.0265140615118913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347904777523842 0.0945565186877371 0.146600253744453 0.0265703732410886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.34789434046585 0.0947519444303114 0.146571400927356 0.0266871231106613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347450705123798 0.0954312894354983 0.146352168722348 0.0270703513951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.348040524919867 0.0961901046415956 0.146367448945599 0.0275853351479691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.225679081548747 0.359300858700443 0.0435854990944019 0.0816574598123559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22574188578335 0.359531396718876 0.043561287818306 0.0816994728968221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.225810984223886 0.359711115612886 0.043536044845097 0.0817418333233653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.225949833302227 0.36006026765101 0.0434900960860857 0.0818023937376541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.226609174588964 0.360995236545019 0.0433180092438031 0.0819179066382683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.227464818328764 0.361351533304309 0.0431674395019226 0.0819297845722526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.225689983709618 0.359346613308738 0.0435868456671038 0.0815391472626581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.225725736528033 0.359271834471287 0.0435906614125061 0.0813896272418825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.225828963213759 0.359015099444799 0.0436010556547016 0.0810681544744514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.226406517148962 0.357697227158897 0.0436481936051603 0.0798604507768511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.227492424941268 0.355110990611512 0.0436077170400229 0.0787796781127464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315172749752855 0.52158379062198 0.0876344766686519 1.25466466101933 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315282587267789 0.521635128734286 0.087640940218482 1.25491889940447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315387317255842 0.521658856332852 0.0876522010896684 1.25506155223539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315630105786308 0.521679910096293 0.0876761368153423 1.25523540130622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.316603024230532 0.521848414364247 0.0876648955901897 1.25615956756587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.318162709318442 0.523081290110961 0.0878498391764389 1.26156798927777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315522117733739 0.52214701932112 0.0876364072146792 1.25685699498467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315791595630991 0.522672226703223 0.0876634780748019 1.25888771688358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.316622189944074 0.523611583237916 0.0879294304474418 1.2623217898203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322627199610445 0.526714403476892 0.0891075412906872 1.27551195565094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.331991466320831 0.520447172141595 0.0907966489534551 1.24841996515568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531349858752975 0.22362502290818 0.415681002311028 0.0211158728202896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531287943752975 0.22381532665818 0.415691495432882 0.021142424625117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531232912502975 0.22399715165818 0.415701835136021 0.0211682027801229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531728721942366 0.224371445582581 0.415929251024391 0.0212471480750099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531766770678696 0.225769376142889 0.415906797927968 0.0213899145261609 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531218354455643 0.226645995403582 0.415346040700981 0.0214627887965624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531372178752973 0.22390912790818 0.415730264428293 0.0211371328323102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53199030141671 0.224268403793363 0.415991226748383 0.0211885650458336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531601016086695 0.224701381026398 0.416172881959866 0.0212693614823231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.530780413854599 0.226977545713548 0.416521553782819 0.0214402027135191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531955240195241 0.228716174056487 0.416846715595486 0.0214907112335428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442278361318363 0.409682607818384 0.123367038668596 0.841335479900383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.44237786069101 0.409701117228672 0.123368313341887 0.841327591466381 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442485840615728 0.40972891647585 0.123370582868496 0.841355800851118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442707712635804 0.409798018524304 0.123372389957207 0.841455507737447 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444530306206725 0.4110551396276 0.123539130298547 0.845280186218698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.44620063324636 0.411560947450262 0.12358347830434 0.846223938492875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442220190678463 0.409830328019137 0.123394668983894 0.84198870140042 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442438527931506 0.410486740940937 0.123521827019932 0.84433463985155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442433800544571 0.410988900488675 0.123607437949907 0.846375692738298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.450969835500889 0.413973694937745 0.123583427532072 0.856802454520539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.472255729421466 0.417142914153529 0.123335076821818 0.847190373492392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397192487287286 0.469148923294787 0.175235028992406 0.966066172022374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397186102578549 0.469107835916147 0.17523071441472 0.965911859484229 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397224592953683 0.469022800721972 0.175232924689224 0.965568883143415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397283778483443 0.468863554362749 0.175225417690171 0.964940845689579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397751443929457 0.46850790616268 0.175090224788792 0.963416371541555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.398376593133023 0.468133014588299 0.174947703510703 0.961786672363618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397496288407916 0.468757793549396 0.175541530592634 0.964686793726312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.398193899548539 0.468099398652676 0.175742814747874 0.962249157005367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.401917710645867 0.467577201681706 0.176951719692306 0.960245902670277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.413743834976239 0.466096949826893 0.181793208240916 0.953520913383251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.421403649923246 0.465981316637919 0.184234083877046 0.952050878861552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.25101816382477 0.379096008626147 0.078675511110911 0.680498900923835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251011797909983 0.3791542091274 0.0786769345978994 0.680673891698094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251007052295948 0.379218971032162 0.0786775981265722 0.680863538333633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.25099736307289 0.379358831934417 0.0786766358185299 0.68127649662613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252530627835869 0.380767602839228 0.0793645937208378 0.686586064658402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.254083203679115 0.381854466164708 0.0798194420786377 0.69051495229796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251002448285923 0.379448339453214 0.0786842454117603 0.681621635891282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251010802922514 0.379652417030118 0.0786720568568554 0.682287010506784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251090325920527 0.379618145100293 0.0785988186908697 0.682261318760056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252252724958382 0.370455339101778 0.0778781049968801 0.653720782151057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251607168845301 0.36649600765944 0.0765199121688854 0.639974960481261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.27306703983323 0.395062514651185 0.064163069628939 0.730033217020581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.272999159054641 0.395045237251164 0.0641573197250125 0.729968395749362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.27292603740014 0.395034890535835 0.0641496717908445 0.729926530718925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.27280103496705 0.395082356138415 0.0641407790841213 0.730071970899721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.27291568421053 0.395369728041095 0.064058340978202 0.730766103503338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.272953139192583 0.395697177156384 0.063989864959467 0.731822586405451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.27291261511814 0.395066953407309 0.064119363510138 0.730099411339499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.272854669796147 0.395322530564053 0.064101168911331 0.730928712900147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.272849076843535 0.396010116226264 0.0641174227202581 0.73322187993499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.276241321856525 0.396308648481271 0.0643377141713763 0.734443351845273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278742161367044 0.397283349635088 0.0642794534197806 0.737718329266531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308689708563288 0.413328804041236 0.1104488189928 0.756367761185336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.3083112825539 0.413286723268159 0.110427482900539 0.756163670323826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308281402978929 0.413295847235101 0.110437290876395 0.756197854506347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308286630841975 0.413211203787639 0.11047224450434 0.755894132365616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308205557642447 0.413210736255172 0.110562449639592 0.755843391362806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308259270747524 0.413439057388584 0.110608433757516 0.756588053764181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308763047806787 0.413130228391118 0.110481823798338 0.755708320007812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309152012533739 0.413015910922878 0.110617763649827 0.755230588917744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309039197948431 0.411699403005872 0.110646239597239 0.750257297575428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309802154011909 0.412580929683812 0.11040590824961 0.752404746840188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.313098230515024 0.413997352978423 0.110838093146824 0.757016450042993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.398276713030501 0.527979883198322 0.127317308051514 1.31973940316213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.398233360530501 0.527936584448321 0.127319982055608 1.31952971189497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.3981991817805 0.527878026948321 0.127322085547947 1.31925476642885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.398124229280501 0.527721785698322 0.127323869043537 1.31852790746373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397935398030501 0.526880160698322 0.127304061235715 1.31470492990612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.4005253242805 0.525837629178107 0.127665230021384 1.31049127455913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.3979244367805 0.527856061948322 0.127301172009449 1.31937031377471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397694800530501 0.527582453198322 0.127287731711092 1.31832649514176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397531814280501 0.526783684448322 0.127263359843187 1.31508343058656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.402185140738589 0.522417130001158 0.127648537915383 1.29653816673563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.405747700373182 0.521948372212642 0.128725464416821 1.29385872016518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337302760826462 0.100416960174013 0.157364185476457 0.0363900944725372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337340158278691 0.100455938298429 0.157400687582254 0.0364339162878959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337376630890156 0.100495528107346 0.157442326973355 0.0364758017385919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337450657641748 0.100564303903524 0.157527314970269 0.0365526887607735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337598944684946 0.101105637350214 0.158043422566957 0.037064490374612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337732720481124 0.102739706640622 0.158089375279397 0.0383567172293558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337120767473627 0.100286093652292 0.157482792923312 0.0362885955445285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337429903789066 0.100056409013829 0.157532236291304 0.0360971182477234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337099225009481 0.0992087332779799 0.157563532835645 0.0354769117744603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337405499699786 0.0953475795577692 0.15781074811482 0.0321135241735764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337061522001319 0.0937768752136392 0.156999455716575 0.0302377822065284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252443935607602 0.384160547475323 0.0505957238629134 0.0880644447071919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.25237857522574 0.384170786138807 0.0506144238246376 0.0880709664622836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.25231931150259 0.384189436259894 0.0506330223053926 0.0880822462624907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252159990500203 0.384308584231253 0.0506638916298771 0.0881171751165999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251563438200596 0.384964511438891 0.0507546186349807 0.0883578881488414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251085077818735 0.385335628610164 0.0508027342000842 0.0886884109564382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252498576843677 0.384226218570142 0.0505938678655983 0.088120009075837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252492467058474 0.384460003598483 0.0505924021398997 0.088193080394465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252396990700736 0.384980136860606 0.0505999875692238 0.0883284564248937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251478021363433 0.385337143811538 0.0508720957784902 0.0885006883659445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251597398456454 0.384858061473767 0.0508086612660116 0.0884986627316607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.33662993091554 0.469725173554151 0.0896299317170646 1.06162891167778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.336720003308178 0.46958478582409 0.0896057125387664 1.06114883503336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.336947231529037 0.469457707296483 0.089600739378676 1.06074341592958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.338055964044374 0.469445400548016 0.0896622204214766 1.06084631006852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.348388103921675 0.470766527051645 0.0906250565141577 1.06553681809739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349882988584252 0.471753207623725 0.0907788239263171 1.06926323847758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.341011554228424 0.468040541775572 0.0901921825531734 1.05587738992932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347939359279483 0.470788534881003 0.0910490817663003 1.06616583202133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.356385493186117 0.47475261204763 0.092162419530191 1.08062720205659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.358302065051329 0.474568758239277 0.0924726031592789 1.07906119705318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.355921716501676 0.482236785951317 0.0922416010815655 1.10944549623977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458437611044481 0.194832948202508 0.391340011775214 0.0202475809700482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458397960637977 0.195331221915244 0.391262917475767 0.0203025686519454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459358873955172 0.196042257362703 0.391582254816506 0.0203647339397355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459278037689948 0.197098740447954 0.391435576138961 0.0204894616879355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458944100139334 0.201171977771501 0.390881663418473 0.0210681247674401 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459665813779369 0.204886622049921 0.391060037184651 0.0215643274381893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459457734746953 0.194481526939601 0.391817720190232 0.0203545611662335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459297664094779 0.194234806830905 0.391610624320349 0.0204297133666992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459869891823559 0.193529202441039 0.391407313265645 0.0205573997927294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.462294567278297 0.189798133290986 0.391498449564787 0.0211491406347644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458160896340774 0.218095634144299 0.385294707508825 0.0273552486114506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.44615855002991 0.462021601897512 0.144645925982312 1.0504246152117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.44613679309464 0.462068221448371 0.144647194141976 1.05061413083871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446115189395829 0.462123311276641 0.144652588797791 1.05083803561344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445725463301011 0.461635750761075 0.144581283956124 1.04905741040275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445512428946301 0.461908633346829 0.144692455981601 1.05016263875782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445953334635925 0.463165641241816 0.1450493875611 1.05503510022712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445941137738258 0.462610965950445 0.144784125732839 1.05286563610411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446185119214682 0.463221832598561 0.144917263335523 1.05534437024286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446780484650038 0.463985785232457 0.145114802833593 1.05842390076835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.451208971949012 0.464869929929507 0.146126262450025 1.06087831288602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.452073656012073 0.481517419012918 0.14510339046272 1.13029582596307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440471443289818 0.432974583180288 0.163282147145432 0.841730072408726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440394442572734 0.432990124010275 0.163316104778067 0.841760318724596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440321779496915 0.433015676888454 0.163351648098006 0.841824723106856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440260422812281 0.433033065107999 0.163421598605512 0.841840016855617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440890020328364 0.421051039672925 0.164102267625665 0.800502305226651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441227752590747 0.420624883046419 0.164198969243742 0.798933968358407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439988889686143 0.433196256540394 0.163150063344809 0.842492987882159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439519626878061 0.433459229766634 0.163068899876921 0.843397041533839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.438759413768798 0.433989753193675 0.16298311969734 0.845207567480937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439339008928186 0.429843530971452 0.163749691003111 0.831015975047802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.453224091928214 0.433795696021368 0.168990275194071 0.844792508056568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.313075531747361 0.392960547164952 0.091113452173511 0.737793304998804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31317895525814 0.392985308034518 0.0911068068760353 0.737850107039719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.313266522946365 0.39302729908311 0.0911018295308912 0.737946054646842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.313470361149081 0.39309921212659 0.0910910785269655 0.738102348445925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.314621682660455 0.392621226951473 0.0910825898447109 0.736699971083497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315688747054145 0.391982154839141 0.0910363734412323 0.734668267891817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.313222377166314 0.393348658418149 0.0911006742974644 0.738789798283663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31352300565036 0.393447731308175 0.0910729943341582 0.739029583013787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.313792914857521 0.393765898424412 0.0909464647952296 0.739797569257841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.314358034416097 0.39320020023446 0.0910306547909357 0.736975460228311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.316113909689068 0.393381295234711 0.0912999534187711 0.737681693588562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278994076186734 0.453965811620333 0.0623440411851212 0.930074656742726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278310202053055 0.454270811620333 0.0622676427795381 0.931046200741821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.277781187087069 0.454245410259788 0.0622144401987285 0.930875991235222 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.276905799331967 0.45443384291285 0.0621531062217995 0.931298840654241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.277153241784332 0.454263436294115 0.0623769595947215 0.930324187031781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.281847910721661 0.454979601144251 0.0628052479821738 0.932695272522724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278621738771769 0.453536335429856 0.0622190119714484 0.9286361693309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278474839452041 0.453124025225775 0.0619456619037257 0.927245630125825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278149329247959 0.454550158559108 0.0619264159734762 0.933059170669375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.273158888565018 0.45653487830561 0.0597037274640207 0.941542898094199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.272026810928107 0.448710864544856 0.0587957973831292 0.913445821026843 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.34643961942216 0.353034371746746 0.103708299100418 0.575205931475034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.346470554825887 0.352831862429976 0.1037032571886 0.574595487997028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.346515456689241 0.352651647523143 0.103699670007478 0.574052590989513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.346613539919055 0.352231864914448 0.103686201664581 0.572797189741067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347418000876079 0.350258379213932 0.103579861083098 0.566974323786984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.348188669312479 0.349145126148807 0.103670942311618 0.563640907940978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.346508206568504 0.352963740690846 0.103658753070227 0.57502624205175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.346668369041525 0.353102355597677 0.103655502969948 0.575459761929265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347113117995127 0.353420499697057 0.103644997611613 0.57648246553852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.350774713354308 0.356707395676991 0.104042888568371 0.586510276360536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.356367218528447 0.364158388576033 0.104443037353328 0.608902566383504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428753649877855 0.493629658859295 0.119059220506688 1.17322886621335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428902435500448 0.493659085046715 0.119064023892041 1.17333112663018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429083877092232 0.493708259801787 0.119070519006757 1.17351347961998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429495467592874 0.493825112176626 0.119086843232162 1.17394249616994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.430058294425205 0.495037379401395 0.119227829846203 1.17808603636872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429865671348281 0.494860116580883 0.119028493542027 1.1775359809621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427985796219318 0.494348257062119 0.119026007623944 1.17612628000564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.42642200417824 0.496253320686905 0.119032759081646 1.18319154993507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.424199760809323 0.497284880156075 0.119133262287905 1.18741759060961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409083657318484 0.496221206947813 0.119582730150373 1.1838191363028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411429431802035 0.491188044373318 0.119821214778308 1.16431023523497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343612972055829 0.100416718115305 0.155117954795657 0.0386305303771477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343352151179604 0.100367395793783 0.155150760724975 0.0385985954939277 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343618390535598 0.100478492964114 0.155135693765011 0.038674612761871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343595783564444 0.100571425656421 0.155112255578891 0.0387343679478897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.34356524451695 0.100669646023318 0.155171482299288 0.0387962057895901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343350570630066 0.100404646023318 0.155001744532645 0.0384511064521827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343522131861548 0.100439045038382 0.155111686765555 0.0386430109565569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343183710505894 0.100368171303987 0.155159651232256 0.0385904914405889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.342969071850431 0.100406198477897 0.155154579804228 0.0385843729938951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.341898995382853 0.0989773675884995 0.155336600373218 0.0371886508422171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.339845675007527 0.0975190699422505 0.154472540022117 0.0334489759602059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.1902688116055 0.691999653226141 0.0245313493092942 0.094087966558339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.190362439617103 0.691944018670355 0.0245359020950683 0.0940848317344061 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.190463762318548 0.691999476314981 0.0245403604424134 0.0940638814430908 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.190645459194569 0.692000119264365 0.0245538875725152 0.0940501188267308 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.191374289568865 0.691697199713742 0.0245979556086055 0.0939206777760035 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.192036973878622 0.691387379078412 0.0246371262860442 0.0937846788321839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.190555368447136 0.692303918980267 0.024532458108892 0.094314856060081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.190873450013044 0.692346963530891 0.0245262100548732 0.0944788360938513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.191402986476553 0.692739301857336 0.0245196462066695 0.0948941176045856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.199648235731761 0.695969654388331 0.0259736856964212 0.0922643041051089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.201483903671777 0.696565174214928 0.0257604044664624 0.094951870416285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.233506145657886 0.406989887763147 0.0751781275706366 0.691050537845239 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.233425275586128 0.407029818205483 0.0751964224629066 0.691168832826765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.23333674669887 0.40707837483306 0.0752082466350231 0.691313224227025 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.233163342463577 0.407159631292132 0.0752431430263401 0.691571348473689 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.23234269176838 0.407529912214854 0.0754386171576417 0.692551935522022 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.231889182580869 0.407809425171988 0.0755867180000598 0.693286166805367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.233611929794507 0.406910091988064 0.0751545466680943 0.690843606758744 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.233728073167078 0.406798617746076 0.0751192774594172 0.690559313309181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.233898248040232 0.406736817577545 0.0750862794220198 0.690328791746531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234508145879738 0.406327151860157 0.0749160322754554 0.689000532559599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234324282293229 0.406816169444802 0.0748195506285209 0.690114062799667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611835718261562 0.477944199551714 0.41811304716034 0.046160932139871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.61175221232148 0.477980686638491 0.418034466700186 0.046175867143369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611717801071602 0.477986159778988 0.417977593325653 0.0461887080708562 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611612196603624 0.477967554794483 0.41786788329375 0.0462089758511868 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.613926459077374 0.483451795109566 0.418984813416189 0.0448646982340227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.613482790716431 0.483147091726303 0.418457838002487 0.0449968179293674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611713691567467 0.47760869658167 0.418037293881611 0.0462427974690496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.61156743485259 0.477285993456674 0.417947627009117 0.04633448632981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.614095357026133 0.481993237129193 0.419470186747209 0.045034479221677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.613538715998732 0.477694887568241 0.419156941841873 0.0456967246765292 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.612901912979784 0.473826862875002 0.418871531128472 0.0462643749282198 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.334823062885908 0.416444079129817 0.150151313225962 0.451362649402007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.334879056109212 0.416520928124908 0.150263915234909 0.451454917552975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.334900866547217 0.41652040934739 0.150303690353594 0.451500927634261 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.334929211147061 0.416529325468893 0.150354727914946 0.451628923083266 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.335039755941705 0.416511043814534 0.150523134916313 0.452124585848722 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.335100463965811 0.416430604449594 0.150709086836096 0.452635616565161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.335009724357141 0.416454723274052 0.150287107946449 0.451178106800922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.335177504286559 0.416423628701127 0.150384974542648 0.451093275188088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.335557989912046 0.416311344682847 0.150514440027774 0.450795873362651 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.337264075172022 0.415662874264551 0.151484135926177 0.449439283236544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.338798212169717 0.415123289381601 0.15195244764585 0.448074302775992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489440218726362 0.319494662962444 0.225832278886221 0.340997720308717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489304163734357 0.319467155700815 0.225713347473206 0.340964252443031 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489194584915707 0.319457801809269 0.225609636333427 0.340957523407207 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488976896576737 0.319420001475287 0.225412761876668 0.340933038683773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488256448812345 0.319281016200399 0.224774130153843 0.340803032814241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.487519313032837 0.319164635546997 0.224177040478532 0.340606217295556 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489388391802383 0.319499370711559 0.225800490535302 0.341035563254787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489490175899633 0.31944341655508 0.225807533672859 0.341019301157936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489272574268364 0.319439489789138 0.225622783505102 0.341097638011173 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488712292758021 0.319056743001971 0.224952757487579 0.341240755273713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488407454552977 0.318619020500108 0.224485127133398 0.341749865471726 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.20485981618464 0.320550995648394 0.085722252405353 0.465364954216347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.204861837571413 0.320595294578821 0.0856950756492622 0.46553686618174 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.204856493557046 0.320676233794056 0.0856557711355738 0.46581173670324 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.204873021511445 0.320817933408643 0.0856129620660946 0.46631322971575 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.204822176723922 0.321135884021453 0.0854035479617692 0.467652184167711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.204805239746807 0.321581666520854 0.0852424764430067 0.469373379752907 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.204951503423196 0.32029861951608 0.0857895447571125 0.46447464481983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205063493192528 0.320106159320028 0.08586407017998 0.463750464468108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205220922180129 0.319617153153032 0.0860030995870424 0.462015411606501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205758632790049 0.317780173128085 0.0865163648508587 0.45549218440496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206433674955446 0.316535573099166 0.0870277231516075 0.450641753124512 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.117891540108652 0.334333933744488 0.0338091494795554 0.449417519357546 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.117907890717015 0.334331484895763 0.0338677593955235 0.449386479240067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.117942667001251 0.334322011954587 0.0339302499751776 0.449342176633617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.118027010040607 0.334344860759218 0.0340842625155525 0.449409701913998 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.118388792855535 0.334367352913817 0.0346904567451697 0.449234182194831 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.118757914292344 0.334351460104141 0.0352478157960662 0.449180039307512 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.11806010156788 0.334279116520375 0.0339285640164842 0.449216294773249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.118236074034913 0.334212468321867 0.0340535004137183 0.448923585124483 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.118575831653112 0.334046254990058 0.0343074517169935 0.448382423536437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.119680789021271 0.333638273988518 0.0350192262088206 0.446978148319179 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.120587290367363 0.33326440384993 0.0354485215586926 0.446004938335544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219682114728988 0.259312875336385 0.0635346026792827 0.190351616470711 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219680131740642 0.259298154156412 0.0635226849469628 0.190327514760769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219663142764105 0.259320658249297 0.0635049013658461 0.190311817479567 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.21965933615469 0.259314547368505 0.0634971618378471 0.190275963629498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219721522069615 0.259252853023258 0.0634652563327263 0.190164496259721 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219443915921816 0.258616855404314 0.0639490334075572 0.178934057718798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219839975581788 0.259233995451716 0.0636652028824999 0.190231375443719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220039614027052 0.259087439484201 0.0638140935249076 0.190148922268755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219429020032225 0.258225881128043 0.0641464748980448 0.178664677805599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22171070367188 0.258084175494707 0.0658136116454169 0.178919445531507 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.223409619034746 0.257381411756015 0.0667685270653748 0.178576055178248 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349543020903501 0.406590538146418 0.129612807761043 0.546281990705461 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349495154877276 0.406574523133613 0.129609863633275 0.546209098370029 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349446037001125 0.406563629585644 0.129602600855734 0.5461562820724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349383144751351 0.406560328983676 0.129591527986686 0.546070046092719 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349247180207243 0.406451804743639 0.129608796149724 0.545650765706129 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349358146203398 0.406401806882642 0.129637588405197 0.545422389795249 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.34967761015444 0.406575459719179 0.129658109025725 0.546126647444033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.349787370247911 0.406566677104962 0.129703891758575 0.545979309657445 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.350109507715626 0.406527094429107 0.129812023737223 0.545695508256339 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.351592962410226 0.40646059140207 0.130435158374634 0.54524559230958 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.353536026279055 0.406309650763119 0.131336274508155 0.545069015084451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.2557619463624 0.19235829339778 0.0822885866891653 0.0663933296801734 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255775589052914 0.192384192568333 0.0822974274057453 0.0664253192617088 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255767525678108 0.192430123007089 0.0822986732240519 0.0664686128800699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255770750017144 0.192504838778983 0.0823209663444957 0.0665561191139815 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255807470338554 0.192697203867828 0.0823588842982578 0.0668261631210152 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255825657263739 0.192944123053518 0.0824284879346949 0.0671100824680748 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255762969331085 0.192191019097541 0.0822315418499784 0.0662631873428754 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255784009294397 0.19204145941668 0.0821643419873486 0.0661514739061069 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.255844382402596 0.191774775322908 0.0820796508873617 0.0659856501814186 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.256174303910478 0.19073160518485 0.0817620787164864 0.0654168457084367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.256506748920092 0.190009505305905 0.0813413150546668 0.0649712033334765 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172819760940451 0.675350419614227 0.0222724224827353 0.0756287083610115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172724794296437 0.675145250691858 0.0222677068665518 0.0755883970704209 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172632875404392 0.674949425998295 0.0222615911954906 0.0755496251120321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172479244196798 0.67451372247429 0.0222475285388565 0.0754805511882312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171906895947561 0.672507143822604 0.0221993779639408 0.0751405478617673 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171326219936147 0.670415073980929 0.0221489472878691 0.0748051018032985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172796136561246 0.67546111024242 0.0222678513635712 0.0756056225239189 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172787131241132 0.675452877607077 0.0222561085623205 0.0755659812693797 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.17277711928821 0.675070927275109 0.0222265397690541 0.0754908719437631 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.173005706168034 0.674189081641806 0.0221593505112929 0.0750622485985811 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.173236629501699 0.672770216651677 0.0220542379279346 0.0746459344478718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235966245689031 0.486328045355971 0.0706459996588985 0.932611282660419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235959305642314 0.486328065210634 0.0706560413990269 0.932649162628935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235921951117056 0.486320712943886 0.0706642042897531 0.93266132368193 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235938545252663 0.486310179825728 0.0706905861997129 0.932707397164856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235821537096755 0.486320247559313 0.0707511983831744 0.933046564475982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235689929436912 0.486311383787529 0.0708036749673549 0.933194352697362 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236264258582688 0.485990216126271 0.070633223024249 0.931606000603269 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.23651432858387 0.485681319771735 0.0706210412488888 0.93073501779727 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.237077559155484 0.485006984601226 0.0705542842671539 0.928779431230177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.239327140901784 0.482455047379189 0.0705864299560945 0.921406012797658 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.242027513186928 0.479613401225713 0.0703511239693967 0.913282755119995 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628576803684582 0.518367887548163 0.413011438633055 0.060139924752584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628624832949119 0.518263458206613 0.413074803945247 0.0601535470681364 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628699719998276 0.518173571285809 0.413147410538472 0.0601661361000582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628727983764161 0.518107212923596 0.413236674341254 0.0601945029067515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629595501849865 0.518991007377794 0.414554745054398 0.0617026018998682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629935242382645 0.518667848652807 0.415024210533744 0.0618208481627118 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628537768387445 0.518408573467812 0.412999789945891 0.0601373999701126 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629037991528441 0.519935502103418 0.413745993807377 0.0615036765136409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628780376023504 0.52020943404869 0.413746229464595 0.0614967892130316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628070442639726 0.520108936478251 0.413355036088103 0.0614500731080073 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.627456214075517 0.518239472612753 0.412945630419741 0.0614849195790649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.298618768465352 0.477181848925418 0.132500259033541 0.445518980414314 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.298607300895975 0.477262043755555 0.13254395714946 0.445554515433136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.298608013279123 0.477235616300056 0.13253620192737 0.445510117266003 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.298599360078847 0.477195715672576 0.132494407678965 0.445411226206164 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.29856386013828 0.477081536819153 0.132411876799002 0.445062870756052 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.298485218234663 0.476891322195026 0.132253101419137 0.444721299412284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.298639379272688 0.47711198051464 0.132467362725509 0.44549969412911 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.298706022146872 0.477098707255211 0.132481211848539 0.445558336252601 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.29881832764566 0.477034585869118 0.132393793287996 0.445621209039944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.299779058038365 0.477077259182582 0.132124470560027 0.446324984700761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300907314027825 0.477286757999087 0.131927805696774 0.447342605959915 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520783635145901 0.387362218910546 0.236904220204735 0.563493407310682 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520773836250304 0.387340090234545 0.236920262563109 0.563457982744423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520814048994285 0.387313256665775 0.236965632649013 0.563388726854991 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520930268905295 0.38725823930443 0.23707471354098 0.563232590122215 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521479378176314 0.387025626735876 0.237657300880509 0.562599303415312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522279560737717 0.386840393383246 0.238351096554616 0.562190234560127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520880193701405 0.387514357938818 0.237084133613544 0.56425456405856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520942508537585 0.387628486024167 0.237222673038488 0.564918556191583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521217085083741 0.387883780401459 0.237626113224656 0.566379802325683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526529734926556 0.37800292861104 0.244957917050628 0.525225116820217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527218145535095 0.378899158858245 0.24628423716445 0.530768270335536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195871076505681 0.316001343038478 0.0818783555948977 0.440362422435553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195872442903413 0.315932901281595 0.0818744207288663 0.440169463246761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195857521950164 0.315931969780097 0.0818729282796258 0.440154644361418 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195829370607923 0.315931486383823 0.0818518565941643 0.440130517879365 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195702440336511 0.315915054807818 0.0817513859358694 0.439982123030206 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195614645820977 0.315811892933831 0.0817056330130455 0.439567114589935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195840563813997 0.315986168077073 0.081829592660237 0.440380010962474 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.19582581002189 0.315988419059866 0.0817774905170163 0.440459502779407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195771926145302 0.315965443842098 0.0816819130539446 0.440458483510448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.196044577601342 0.319646879384464 0.0822670934208444 0.450816224916775 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195599801586241 0.319184922931302 0.0816559929342575 0.449865137873583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.10748412071344 0.26452088382233 0.0376014789216887 0.236378379335304 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.107446058544256 0.264504212998104 0.0375625909415697 0.236338122354965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.107414932001476 0.264484399188152 0.0375311473135697 0.236285004119234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.107330458398998 0.26444517354906 0.0374471135817105 0.236188170779487 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.10706928695192 0.264285741089084 0.0371674529980777 0.235776893086407 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106732804042642 0.264059656217293 0.0368159574802139 0.235261327721531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.10745828101112 0.264458597781042 0.0375668304380215 0.236234775847869 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.107433246824361 0.264376573962433 0.0375369753443657 0.23601730926913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.107362826537435 0.264188022020222 0.037436491716095 0.235576953516832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106915079560876 0.26338119409169 0.0369184797044517 0.233069194947262 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106384436476966 0.262434428428287 0.0363808597498582 0.230536656376536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205464221160241 0.275770912852002 0.0489603934366017 0.257148168388075 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.20545141420994 0.275785612258345 0.0489633802444084 0.257198691829369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205439337339234 0.275792201318522 0.048971935830059 0.257219463210874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205423934301607 0.275803497600624 0.0489741143166589 0.257252906924182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205357208498734 0.275911922609935 0.0490043638504049 0.257565241273747 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205261670035995 0.275979090182249 0.0490548681222884 0.257692007903602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205467023771398 0.275782026816483 0.0488695851758834 0.257142226906037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205487316852788 0.27578478837965 0.0487771747201569 0.257199153767519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.20553122903694 0.275716731175601 0.0486269787460972 0.25702159792957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205830681484246 0.275793861963205 0.0479435766455889 0.257264163716568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206239459894046 0.276030120333699 0.047331619819443 0.257872034478019 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.317643748077686 0.408004524006409 0.111887313109113 0.61425992221208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.317659626728803 0.407961861508124 0.111907013629074 0.614179465619081 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.317726929702325 0.407967543565328 0.111927976714541 0.614192357885439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.317802847704019 0.407960604584044 0.111989442470509 0.614085311428065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.318389665149485 0.408026603282444 0.112213422117078 0.614168059559861 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319168490493879 0.408105675162927 0.112479335188311 0.614351676336199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.317818533151201 0.407919596633286 0.111969462716574 0.613677045238655 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31805220447718 0.407877740754117 0.112044212503889 0.613295258150383 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.318478276579391 0.40779505955801 0.112174912434806 0.612499125815569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320348704180689 0.407541468559938 0.112723868387956 0.609410630491812 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322541764327155 0.407226812224328 0.113490235328435 0.606659584015871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236716047697945 0.197700248343826 0.0770951991623141 0.0791462730762453 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236707340267605 0.19773190483546 0.0770887671088249 0.0792053735788693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236700325690722 0.197751788055515 0.0770896857165196 0.0792554175372796 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236704951980711 0.197812976429346 0.0770866425434923 0.0793795334745839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236768797834197 0.198089588524334 0.077138736417808 0.0799422827972005 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236770500129824 0.198322895342673 0.0771352744187484 0.0804597559228252 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.23678889356341 0.19758585743332 0.0771932622754423 0.0792037208088217 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.23689409118096 0.197483676279407 0.0772927967043404 0.0792684835121712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.237054443938024 0.197418286632045 0.0774941456889902 0.0795393819449014 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.237569661334105 0.197095337400541 0.0782365136240682 0.0806923429420386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.237915391568239 0.197043514389323 0.0787754400912647 0.0821353070785281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171057388620332 0.661113552285781 0.0218935245895508 0.0732191586923768 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171162732648513 0.661039184891689 0.0219153950581305 0.0731784872175274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171238203223146 0.660942301218327 0.0219321859025621 0.0731167549529523 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171471206769392 0.660719259498168 0.0219696308520202 0.0730299220775055 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172291747760145 0.6597757669863 0.0221228879105169 0.0726692283144579 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.173136541282492 0.658559405384448 0.0222789119653206 0.0722871926807379 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171062522088079 0.660770324674087 0.0218696149755371 0.0731484091855583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171100293485933 0.660261912671738 0.0218500614624456 0.0730600283587696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171198897402542 0.659613416774904 0.0218242212997391 0.0729303480251024 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.17133369183629 0.656441340292315 0.0216927853622064 0.0722343567460393 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.17189695347613 0.653328979605661 0.0216566141325483 0.0715831025808956 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235625684796604 0.486429074917824 0.0705211481164034 0.936252172857644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235660346524694 0.486452087613821 0.0705287771520295 0.936259455206472 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235679632555674 0.486422715922564 0.070553766581635 0.936104123351127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235755500813027 0.486473226858056 0.0705743707003023 0.936144325263677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236105802270595 0.486662046698413 0.070652571724505 0.936305379779791 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236396135675822 0.486864860410855 0.0707185302724924 0.936528921799416 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.23578256800594 0.486381526560747 0.0704900337477371 0.936328891716883 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235919265369601 0.486295603108063 0.0704572954461353 0.936250193162097 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.236228974321884 0.486221957842417 0.0703929581148448 0.936462299888919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.237186147097136 0.485892737257448 0.0701628801071715 0.937343149954273 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.237979506923106 0.485097873555959 0.0699055543344565 0.936547247652879 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.62868084722578 0.507401245388774 0.415950000930182 0.060812488271387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628676397128944 0.507433127506271 0.415934169357449 0.0608043303142626 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628678686347795 0.507444954749651 0.415920868882631 0.0607930449623519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628712340447212 0.507427298842615 0.415904127720748 0.0607744233316253 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.62876126048364 0.507427325064938 0.415870866486843 0.0606670911710954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628779213700633 0.507170015227601 0.415803793483556 0.0605665289517228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.628939530109772 0.506697175930006 0.416152807926441 0.0607092325727644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629108941337413 0.505860270829939 0.41624190386896 0.0605922712895643 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629480834506148 0.504205535651363 0.416473870510141 0.0603587362715039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.631239754277915 0.496563166062098 0.417074044957087 0.0592264140489043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.632818187049974 0.487776280467149 0.417648710494547 0.0579828253303973 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30098129150251 0.474074130585141 0.133014157114726 0.445842670651793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301022797512795 0.474052015110019 0.133051877125408 0.445789973357396 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301055378241043 0.474022581148036 0.133096459186839 0.445727429143896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301120505059552 0.473944073966709 0.133149011148008 0.445598467427663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301471681131092 0.473756032432973 0.133564693577052 0.445261929169971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301789845102497 0.473358884829151 0.13394200297708 0.444796403362977 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301228923814438 0.474235983024422 0.133053385443809 0.445799587366838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301464056449887 0.474395286242609 0.13309620291294 0.44579126293451 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.302033233314261 0.474718869813487 0.13319395011869 0.445753449948825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.305045528931208 0.476284231926218 0.133523669351083 0.445756357985386 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30966344929073 0.478124975703256 0.134024079370797 0.445984145150905 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528606418223741 0.376334054397891 0.244915549159223 0.520870595634462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52849287440007 0.376309936597007 0.244820691469709 0.520777532664636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528377283204831 0.376295303014695 0.244731844278717 0.520722543658873 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528165152152577 0.376278809127163 0.244567894145266 0.520651379975082 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527588447307341 0.376222466071571 0.244052710063884 0.520669574286841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526968904959744 0.376075183344618 0.243460483033512 0.520510069693936 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528466166058112 0.376224072465755 0.244689637550829 0.520682767253448 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528427359636745 0.376120549184174 0.244480489259639 0.520638977346502 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528205817911266 0.375890282309428 0.244046911816756 0.520305593799787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52782774366509 0.375030679988349 0.24252639246995 0.519151635993647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527773966575832 0.37431426875646 0.241183578282701 0.518178665621348 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195175361549919 0.318076232996153 0.0812750344512296 0.446502779985792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195200841512943 0.318138937066772 0.0813097276310014 0.446657612302469 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195211584052887 0.318175316602996 0.0813439782310388 0.446750025558524 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195233639732174 0.318230156391105 0.0814090340363366 0.44687526531369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195336571540611 0.318478753369532 0.0816283330664715 0.447586722716 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.19538429776749 0.31880340384979 0.0817933902685464 0.448415264632008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195225899597681 0.317963786310275 0.0813296003953735 0.44632510605981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.19528148899137 0.317853008506579 0.0813879135259576 0.446168317108874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195369700177586 0.317579191882164 0.0814918878516393 0.445712395450825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195627750617642 0.316686091638452 0.0818151579773328 0.444398906291798 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.195552167019844 0.315924942075284 0.0819578956814549 0.443355599724957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106863120630147 0.265319372000031 0.036571927664086 0.238976255715968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106799890537005 0.265364371870849 0.0365251439186336 0.239134915307244 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106736210892002 0.265412988623519 0.0364765342230517 0.23930663510899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106599597497443 0.265512378109774 0.0363711458531867 0.239658431499359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106078034434357 0.265881441954037 0.0359798724288368 0.240982420456165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.105571570001249 0.266302153262153 0.0355820047505284 0.242492397377531 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106687386240237 0.265370961324061 0.0364525442950099 0.23923115167508 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106552302609124 0.265437609358669 0.0363670551582677 0.239517673330846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.106248975471647 0.26554403237624 0.0361498114073619 0.240026422004157 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.104986195888603 0.266204644580931 0.0352517541856378 0.242541997314162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.104415764347104 0.267438413319264 0.0340224229746873 0.245096690162614 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207346274800224 0.275714823998872 0.0494459100370607 0.259430172305717 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.20731810702102 0.275716853590227 0.049442143218751 0.259419012054068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207299401372753 0.275711681774639 0.0494383473324255 0.259396285909229 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207260744485306 0.275690578994785 0.0494372024079599 0.259320126813463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207100881311731 0.275640796266513 0.0494281089025023 0.259105876165369 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206967135318685 0.275589716867329 0.0494162873779974 0.2589429709676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207314472855011 0.275722497736763 0.0494326236671547 0.259324677415551 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207301530943166 0.275739203754641 0.0494238393210554 0.259309052300127 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207212097359801 0.275791705616801 0.049405985486741 0.259156773203047 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206753640323869 0.276135495109276 0.0493987718104324 0.258757678626892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206184335091602 0.276705791864897 0.0494277917956987 0.25854958835752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321239473111895 0.408080082676437 0.112819056646812 0.621853469137595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321249003498636 0.408083524793872 0.112797309729343 0.622033020665568 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321283689478298 0.408093829681293 0.112774795081602 0.622235695128374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321347743956006 0.408115855239035 0.112719859547149 0.622602708607608 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321581496448897 0.408226806592654 0.112577742968882 0.624155835477839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.32200085380494 0.408295287019869 0.112503943351494 0.625661113336676 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321233618171642 0.408071195011312 0.112873271685147 0.622203116357434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321230037186766 0.408068216046182 0.112916864616635 0.622586419854664 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321305014144902 0.40807640496897 0.113023866197959 0.623475330985932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321325648875933 0.407902296325122 0.113329874435067 0.627050822528699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320830100303019 0.407831825835199 0.113415837055318 0.631626126646715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234675193230848 0.202703847590301 0.075466964486422 0.0798626802697942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234643920560063 0.202792318587184 0.0754720842806035 0.0799332518098015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234613236560451 0.202896382569741 0.0754735357905348 0.0800151410990374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234578389646591 0.203071878633722 0.0754902522214168 0.0801807798216007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234371737876296 0.203773128384261 0.0755038698390799 0.0808574397819013 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234288978450607 0.204486596064198 0.0756557554893537 0.0815857459863844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234719294445033 0.202379283148048 0.0755631709300909 0.0797976606457063 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234838577906005 0.202043381385833 0.0756812100073142 0.0797329144450543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.234903151243489 0.201349647720317 0.0758556232506725 0.0795134086799858 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235324222465605 0.198422582272536 0.0765959216837962 0.0786228386348285 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.2359905935716 0.19531797819383 0.0772653758450849 0.0774511719050531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.173013023468668 0.652372264815538 0.0276390978814344 0.0833596974703667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.173264434662399 0.6514276373988 0.027573483685335 0.0832567039724822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.173527223829143 0.650587963331192 0.0275204324858978 0.0831478760469838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.174035201142597 0.648238118780944 0.0273897208425767 0.0827983263848207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.176420948315197 0.637005667504864 0.0268992928667738 0.0817672859437685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.178880438059877 0.627694080103573 0.0266188951737855 0.0819432085836427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.17263220700324 0.649893820889232 0.0276269514293502 0.0828417891968238 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.172223847184158 0.646470265638543 0.0275556304098961 0.0821288794135384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171542534798107 0.644043941947703 0.0275833009960412 0.0817268901534756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.170821863546949 0.642705388372136 0.0279552949322789 0.0806104825639343 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.171091803166107 0.640623497774778 0.0277437992935865 0.0797072461188562 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261652100227601 0.424810082282741 0.0758443579131568 0.752315613965528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261806708642123 0.4250366090718 0.07591230648925 0.752933234545937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261925585664747 0.425215201178707 0.0759691879380354 0.753410299329079 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.262160578522346 0.42558384958706 0.0760902585077631 0.75439274747162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.262735708456617 0.425681065262267 0.0765219641670195 0.753802263236598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.262492707199436 0.4251295148704 0.076652758066237 0.75100904331082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261879783487413 0.425744714341313 0.0757379940820632 0.755295570755059 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.262058585259948 0.426430865691887 0.0755602939622844 0.757623654253298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261321243207743 0.427984883199971 0.0747263850127179 0.762463060406674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251597791274816 0.432277855920541 0.0731872558733281 0.775898504522784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.242562507823558 0.440168053501184 0.0730592142631768 0.799491308006575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587854332381701 0.43699901756353 0.417881200447931 0.045641589562048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587873131457627 0.435868739092004 0.417773752204717 0.0456884896802867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587850936039116 0.434786775830431 0.417718682249944 0.0457141155740205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587887631683596 0.433116430132917 0.417614852648924 0.0457003818384601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588185966746477 0.427576071090876 0.417501040596352 0.045454931780323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.589444836485825 0.420892588078135 0.417927097805908 0.0451146063933335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587996061713801 0.433235498207887 0.417875705102007 0.0456698223467722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588251292010103 0.431532393762 0.418113040484703 0.0455471869471072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.589282057666299 0.428792486056765 0.418703424481433 0.0453684835037016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588723421277542 0.425986347202604 0.418885262484667 0.0445709077369774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.586000812630191 0.423556984501481 0.41550853652535 0.0432475756270551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300198010189976 0.396682711825922 0.114096386121738 0.447693534695314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300289228711406 0.3966430330797 0.114393537838163 0.447570576894339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300425361446811 0.396615228244636 0.114622260659921 0.447539886929505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300639759828065 0.396561080251487 0.115124954623028 0.447422412447035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301291737829548 0.396391992426635 0.116981702762564 0.447040411089568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301940704847482 0.396609560346945 0.119587475631163 0.446802039318513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300409528623084 0.39686223026646 0.11371225051565 0.447929777504473 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300578088587202 0.397117087537989 0.113287372511204 0.448282324526107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300914109263549 0.398120561933702 0.113225589126424 0.449442755864528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.302136771155436 0.406059458990136 0.118249511410086 0.463636019893096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.304857574751325 0.404927487518426 0.121413992003695 0.467753524574544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446470359187644 0.333630122731264 0.183405210256756 0.3886496465206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446580846520872 0.333623607869991 0.183136458946809 0.388259562208977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446603395308872 0.333863878361981 0.183091802221374 0.388863840049629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446517744247745 0.334403238022983 0.183099488236762 0.390339259864013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.447293147958461 0.335743096579328 0.184686527131524 0.39334357638155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.4493986379794 0.336754768748186 0.187607409117763 0.394465819324823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.447548406091685 0.334350833456444 0.184992771835776 0.390229320874589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449536803842959 0.334144684717358 0.187049175094782 0.388887976117358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.456288511056337 0.333798722548355 0.194016350707311 0.385318040009363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466328281553332 0.332326887441138 0.202744923461943 0.374806576901894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484682687628206 0.332628901519246 0.217947125906186 0.368023405943067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.211025620737538 0.33355593786688 0.0891508868345843 0.496589190201244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.210971275950023 0.333394409152126 0.0891541463480026 0.496069373904228 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.210935694045199 0.33320711543285 0.0891771159977138 0.495481380015595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.210876133387298 0.332885348171668 0.0892350215335781 0.494421419480223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212374667517074 0.329785653627417 0.091740231609383 0.481151627200978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.211771162074136 0.328373035371588 0.0916290326754095 0.476827258242324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.21053478131855 0.333400977499603 0.0886172943724552 0.496256849031344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.210103559461231 0.33334217021983 0.0881257256717745 0.496196693876531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.209519782181841 0.333936239795036 0.087457107233804 0.49801889105008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207178887578051 0.333658717740988 0.0837644034644616 0.497483193639766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.203533540041301 0.332648728386318 0.0772442328581741 0.494036204692879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.12382194276801 0.323686849998861 0.0306856471002892 0.404576469042199 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.123918476951083 0.323679015466709 0.0307195646919764 0.404548584823178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.123986072010696 0.323661784535556 0.0307687908504118 0.404515862432232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.124126879916597 0.323747052199072 0.0308683083857517 0.404794867725909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.124447697718868 0.323610292063347 0.0310146805895191 0.404610898694924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.12470633069493 0.324068818028901 0.0310598057076355 0.406007417796764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.123659982716977 0.324235178919228 0.0311338616380913 0.406080994400702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.123602640142975 0.324237404681795 0.0312538918602808 0.40600102707187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.123200931783742 0.323220324555069 0.0312330378104149 0.402984514902903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.12131005086551 0.321676228074226 0.0316981868981484 0.396948855824363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.121294516774214 0.320461998597487 0.0329815382924557 0.39301611532208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.214140595319821 0.262406964121613 0.0498756466577101 0.208449581579677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.213518644806704 0.262170100734021 0.0501103942147751 0.208161059072743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212810168831152 0.261759556724568 0.0504490923424866 0.208785517434069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212134853376603 0.261499347249584 0.0505730948016562 0.208708067353195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.211141209638413 0.260500260596198 0.0500599739347665 0.206633225372194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.210547586016642 0.259796293797813 0.0495038840181291 0.204719948569507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.21388368706908 0.262724030196717 0.0499737145165311 0.208924250195563 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.213767565313914 0.262890684316307 0.0500331379422647 0.20913182623286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.213369676188404 0.263544927968703 0.0502637943928535 0.210245130626574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.213788973802112 0.266617463078933 0.0501131997806128 0.215488254409189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.214422419028234 0.266812188141877 0.0511215236735519 0.217530707411432 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.295467274267739 0.385895866644858 0.0985013202400474 0.538255582754018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.295677432611913 0.385925146114808 0.0985153185532492 0.538264188743137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.296025103894962 0.386005611876758 0.0985607109743038 0.538276669823475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.297045616535381 0.386266435443915 0.0987112463964225 0.538269042302043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301700098678342 0.388118742802156 0.0994114999849646 0.540948609855072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.305526211863282 0.389003838020543 0.0999276569741853 0.539737049937557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.297180175956015 0.385928472755071 0.0985704196634628 0.536269987220892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.303527801298181 0.386474329376659 0.0993184247073385 0.534906140926664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.310569459953915 0.387029645444063 0.099748503405101 0.534832359716029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.336054950473427 0.387390182329486 0.101423816551062 0.533894570586097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.343438478291645 0.388577529129655 0.102760349876672 0.537272788356337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261494839494017 0.169260593967271 0.0836469453912343 0.0576337869617735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261586874125014 0.169226699964323 0.0839551898213796 0.057608723790583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261648066833406 0.169157895500306 0.0842442249942098 0.0575370947265941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261864890437419 0.16906615281498 0.0848978722070407 0.0574861971539128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.262464568669087 0.169083457299694 0.0872419431756438 0.0573834812399927 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.263293126254863 0.169443599267688 0.0895969514987927 0.057275259381031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261664945920751 0.170780541070459 0.0844140578938581 0.0580369891856522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261724329004936 0.172307921398035 0.0851718734983453 0.0583653015178208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261980087361744 0.175193088366124 0.0869028324321508 0.0590723328257254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.26087174627201 0.190272490355307 0.0920608783243092 0.0654770757197121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.261658562382734 0.199412197007742 0.0919253726616354 0.069986210651994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515865752515011 2.43500274441404 1.01053296997994 2.43947635578313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515810996660732 2.43515104520061 1.01009416208353 2.43945004158762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515814260173503 2.43576280397154 1.00990849681126 2.44039980585828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515759777438333 2.43662376526624 1.00907819324109 2.44154481556692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.514659037411017 2.43729088944573 1.00204241382635 2.44065955474243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.514526827254894 2.44255854070196 0.998832132650651 2.44739088722268 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515846411708413 2.43575768115011 1.01010873754461 2.44284951347702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515645736902203 2.43552862043262 1.00915375452458 2.44478535373069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515539501979403 2.43630264117159 1.00828324191308 2.45059656901063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.515878085191195 2.43729649877124 1.00833994871697 2.46960049466824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.516525998826625 2.44151087682688 1.01033294994526 2.49172925832086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.655373600292619 0.427669812258068 1.92112581640521 0.735779336763865 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.655253420288134 0.4276453931515 1.92032437984702 0.73567629233416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.655175878578962 0.427602511490319 1.91976940031717 0.735498033524516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.654887577799055 0.427516213666352 1.91790388914831 0.735103249064448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.653495440721683 0.427226895361762 1.90927025603574 0.733395730327349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626385639879447 0.410231040142063 1.7653832485048 0.705520971035597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.65386521661966 0.427869670771607 1.91320353284137 0.736420983396065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652237285189623 0.428204265216251 1.90469112051678 0.737345360888549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643839376924337 0.414159893243139 1.85946368721848 0.712775484982331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629443773357848 0.415505356731534 1.79094394471271 0.724819930396369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.630506493015063 0.421303665952036 1.80089532053361 0.741839065857468 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527676364864355 1.35319004517667 1.24659421860015 1.79083683632021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52753543707028 1.35338624199686 1.24594177242587 1.79232511311175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527431767088808 1.35364377689397 1.24543354145269 1.79371345953785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527202673928891 1.35406655251411 1.24433147824401 1.79666334006885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52659520095236 1.35737366267418 1.24138815778071 1.81029772297492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.500072064900046 1.40953604034154 1.13034504659509 1.89375316009082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526831529051713 1.35276464833919 1.24243314322355 1.78927776945002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.525933995083997 1.35226079036205 1.23806148464194 1.78786525655752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.498477211221784 1.39989460361401 1.12273209155446 1.85221012373736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.490842679850697 1.39546552699684 1.08813970888399 1.84465758534063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48318048580822 1.39260914813387 1.05411766560907 1.84313419122185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605366958979175 1.99467621251155 1.18008797120333 4.35946608196076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605355342795029 1.99468532433694 1.18016808966961 4.35932096272594 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605359466550122 1.99461922671405 1.18045300729696 4.35924935305182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605252855575026 1.99445491104918 1.18047132362258 4.35863085170692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.604891085473339 1.99380040294694 1.18033237651368 4.35637444600602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.604891384019374 1.99350930499894 1.18178042527984 4.35567589070919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605589697765712 1.99506008895004 1.18077976547079 4.36001993786888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605767692399097 1.99542538825207 1.18117238374154 4.36081791269934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.606388663676249 1.99601950908128 1.1836798468627 4.36228611052528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608482222776804 1.99876127552996 1.19058140449646 4.36357621149488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.609923411580435 2.00159782191959 1.19780318324855 4.37074587211001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.56135937934768 0.644959570231495 1.33734971892982 0.859786199310752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561119899430787 0.644893580830017 1.33602190591585 0.8596101486886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560785816617735 0.644896193647447 1.33425114303263 0.859577500366827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560144357804885 0.644811823627616 1.33077782782447 0.859305362086011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.557286271874079 0.644000274381965 1.31564541562398 0.856710085863639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.554141339508677 0.643360098962283 1.29909251051209 0.855256633342891 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560516503360162 0.644267782244972 1.33266939939074 0.85772467359703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.559732177521005 0.643559036310002 1.32825449929869 0.855445056120845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.558262179987542 0.642050385068921 1.32013378942255 0.850744495760306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549497736747501 0.637093772011142 1.274607394704 0.838019356743785 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.539100273547548 0.632184188850539 1.22216384463339 0.823740326598417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585343743972971 0.724060893560671 1.32133280003441 0.712804051275188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585210214037019 0.724028921953908 1.32059840945673 0.712798277776626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585104506222428 0.724018682923599 1.31999414392411 0.712820223561072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584920856265433 0.724009913694481 1.31894299699518 0.712895305496556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584091084087445 0.723992649305134 1.31446711167008 0.713441641057588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.583135106818133 0.724133547346972 1.30943739098056 0.713995313355287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584591083929001 0.723886802456168 1.31854973532788 0.711674806719033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584088135121455 0.723684769752088 1.31690848335988 0.710401208810364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.582971168419247 0.723626489571036 1.31313268499535 0.708566346410976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.57801695080342 0.724749890005361 1.29453760862385 0.701757928570842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.573583663440976 0.726173458833962 1.27756291540292 0.694602949162505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.73127585379797 1.30328895466068 1.99428310238309 1.97158507328626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731271817637775 1.30334177459416 1.99399015021407 1.97212763059377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731191614686327 1.30345596798607 1.99319746895332 1.97288375473091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731167964822177 1.30371783376933 1.99243481930105 1.97415356428156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731235380953432 1.30475991824639 1.99040184527895 1.97919954227544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731006565474904 1.30595443590895 1.9863331574382 1.9839461414302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731119988321666 1.30338348007387 1.99348604251486 1.9711900513089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731074295096222 1.30344581032127 1.99333174044918 1.97069709879421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731000469183861 1.30397483254312 1.99315492122885 1.97057348734082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.730288856349324 1.30487787737262 1.98984884436568 1.9671428725507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.730539823569953 1.3086149361144 1.99310319650118 1.96781142081944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588401025075087 1.62856144130204 1.30926744989061 3.68635292755878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588360718784843 1.62860244783148 1.30903335237842 3.68641764064064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588333241491398 1.62864676351688 1.30887785341268 3.68652138905696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.58821078221591 1.62866001241175 1.30818101358873 3.68636489686646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587724623188503 1.62880221136849 1.30560997441883 3.68668515800254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587268207813029 1.62860352757885 1.30259791784747 3.68638574142969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.589199420184128 1.6277719382279 1.3142533802611 3.684095334837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.589994181936634 1.6270271999171 1.31936597244479 3.68189388523978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591713516825007 1.62573246770073 1.33015362658073 3.67777336887667 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.598256185154876 1.62123044835297 1.36936328829545 3.65968442108358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605816882266281 1.6159162405637 1.41449953159064 3.63721254192854 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.63122391775052 2.04124555102178 1.31351867384987 4.782768523254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.631331025794962 2.04087304790628 1.31397702755604 4.78161119978514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.631430591017884 2.04045171541715 1.31445111295271 4.78042676540077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.631613460980302 2.03961535821439 1.31526530009291 4.7775906444305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.63258619951006 2.03668925168083 1.31879969427464 4.76814695326956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.633435574267016 2.03349708886042 1.32173572021116 4.75725621743536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.631085616937387 2.03831990638433 1.31423146301068 4.77329967126775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.631036848725562 2.03559372290786 1.31459748578133 4.76426518889511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.630797219676338 2.02995792260434 1.31550320117127 4.74589897592792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629749766502666 2.00480934905549 1.31828904892837 4.66275114110615 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.627875370460022 1.97869475845514 1.3238668516155 4.57562712259393 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427291871180348 1.10737567453527 0.502516387015866 0.903773429292127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427049928267042 1.10722171315068 0.50192183941346 0.903622246311972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426738377933658 1.10709041713001 0.501240710585442 0.903502212547189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426171698678263 1.10685870950204 0.499826121581498 0.903306862781765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.423833720778869 1.10594735821987 0.494527000762678 0.902327830750421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.421610436266459 1.10476669807997 0.489148427269763 0.900883915298801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427119723875278 1.10568947316828 0.500954064674308 0.90063744913067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.42690408092017 1.10416248069327 0.499287530257973 0.897701422518763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426435227218421 1.10090694735384 0.495927195249883 0.891047850194534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.424836546535269 1.08686251476078 0.483349025558117 0.863842797370936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.423747322528723 1.07470606146813 0.473458231158771 0.840792644621815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611046507757992 2.59385542664961 1.52076118373948 3.15146923351624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611138202263768 2.59394720127532 1.52151876460471 3.15256628712104 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611198738966474 2.5937716095833 1.52230886689079 3.1533592637699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611361953626441 2.59350658847559 1.52387444754943 3.15542570148872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611934863891373 2.59355051848233 1.52932998102494 3.16399784091122 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.612440766838258 2.59260050922312 1.5346324590824 3.17138410833668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.610708531856259 2.59201612269824 1.52018638723464 3.14978905209575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.610538736500813 2.59149801921405 1.52050708078598 3.14954227757528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.609873364835213 2.5879029533861 1.51952270070074 3.14567638708973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.607582513873633 2.56761453303262 1.51833173362318 3.12463958203643 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.606022401119308 2.55110103100623 1.52009385649221 3.10866171581125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.69438790488631 0.461952273735656 2.17183932988357 0.864092653606914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.695070120327158 0.462001466429857 2.17579661354351 0.864200904380071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.695723077668574 0.462022070149517 2.17955424910093 0.864252085410474 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.696962884505546 0.462099904815382 2.18669687173488 0.8644362173146 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.701798465144585 0.462324325128621 2.21478026449447 0.86490860039614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.705595177536035 0.462724168739423 2.23674828254449 0.866164413513208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.69576643364093 0.461826741038413 2.17951212612918 0.86343163670723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.697007230165495 0.461837601509204 2.18635726156822 0.863012164990776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.699519585598622 0.461886460580107 2.20029298090747 0.862361565327002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708163363615388 0.46168373354234 2.24830310938502 0.858851596411935 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.714860041006204 0.461279316329328 2.28489062768923 0.856466744139647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489671837784592 1.44097664162656 1.1056919320174 1.77137731417603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489741202191551 1.44099150728444 1.1060040974833 1.770396486687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489766526423951 1.44098642893235 1.10613937616435 1.76961270387543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489841533837718 1.44114194679188 1.10650797098077 1.76832577498858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48996283099118 1.44315356667992 1.10743635986431 1.76577820481455 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.49032993895897 1.44446259750331 1.10944971301375 1.76243562304252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489320143555412 1.44135056106033 1.10431702804837 1.76947809664215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489054665387135 1.44153773333198 1.10324105886225 1.76753005503364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488678095771455 1.44291983139264 1.1019806926325 1.7662387463261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.486663101570826 1.44750301895982 1.09438967794557 1.7569059798568 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485492167866352 1.45376304043614 1.09048243378133 1.76006258049487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804589597516058 2.34245102032659 2.35341712520333 6.93899836097044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804579660058433 2.34239030728767 2.35304715607634 6.93825443105189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804586258648613 2.34233420362927 2.35259802240627 6.93750056495673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804523811118639 2.34207334513979 2.35127062777695 6.93528871919942 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804296126064683 2.34187996730838 2.34572305195005 6.92824218376984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804162503015607 2.34157688245815 2.34058658650868 6.91951625373685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804549543332753 2.34181405737717 2.35451308168003 6.93586233407444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804348588835394 2.34139359153354 2.35518398527366 6.93321349336825 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.803951258602026 2.33982324398625 2.35613328353824 6.92510667669763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.802126043480012 2.33154778855125 2.35883948414765 6.89242275577148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.800252965242463 2.32363128266842 2.36088133299331 6.86218755498355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.623340366246262 0.704744313649237 1.67373741150192 0.987420429397155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.623417141944442 0.704605211397345 1.6741074630807 0.986998486624495 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.623418095840846 0.704481729474158 1.67410217292407 0.986636743125963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.62360688568216 0.704091855396543 1.67501500866679 0.985712352228903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.624019882112488 0.702788530033835 1.67663490890682 0.982330543500581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.624012359273343 0.701231033815432 1.67586996163743 0.978576450189973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.622877535512442 0.704451058989826 1.67126130587566 0.986242491107388 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.622431984324725 0.70418636105562 1.66889113683243 0.985168803685762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621685912084296 0.703643938824545 1.66487010883598 0.983558935491951 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.618073942583424 0.700767355214891 1.64554940198324 0.975819137504105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.612381935599351 0.697882331487087 1.61451798442893 0.970653784354202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522880371684347 0.676405899700417 1.16504999149047 0.605966740677421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522884334201594 0.676334817881619 1.1651574882365 0.605799146089353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522885636293957 0.676213771485601 1.16528172273153 0.605584583024947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522888534482339 0.676008290055173 1.16555684623951 0.605201237804261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523052901905737 0.675122483444324 1.16699404822002 0.603579114077714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522887902662847 0.674189046880119 1.16714729713796 0.602011471902971 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523230956435363 0.676694008924648 1.16590321282361 0.605169467197644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523502867016318 0.676955614354137 1.16650191732081 0.604528636167047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.524079498156829 0.677237012698705 1.16812065532506 0.602974399172363 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526565117531181 0.678175357600045 1.17419673348047 0.596133515145382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529124521748997 0.679750971710225 1.18077228649593 0.590265260486328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.912215293034964 1.60173671297237 3.22155195155383 3.24806778175707 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.912131108194436 1.60138340959207 3.22101010079759 3.24739121644459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.912131918205832 1.60104296458965 3.22119419794928 3.24671917250188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.912163142238447 1.60052865867338 3.22168894499801 3.2458559999084 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.912778069562022 1.5983999197759 3.22766679613471 3.24270322388602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.913459542864005 1.59657082633399 3.23454625085513 3.23992750710634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.911825952488329 1.60062226061484 3.21823244452568 3.24404836054167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.911327690035891 1.59961317402503 3.2137577486359 3.240468384287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.910606852659379 1.59807369475701 3.20724455241858 3.23357232953366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.908645289609563 1.59520618022824 3.18759654078732 3.21438342107635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.907055268215762 1.59463528122464 3.17077344741217 3.20241505635627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569697290379124 1.45995775137319 1.16694128803464 2.84300539417621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569896735660235 1.46010704957374 1.16822208495861 2.84403324936805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.570077985719216 1.46025471407253 1.16936854930319 2.84508941356256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.570561565673942 1.46058351068749 1.17206296742882 2.84697355216398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.572195108382754 1.4621927765507 1.18179718254318 2.85544083735762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.573713112009109 1.46375793836336 1.19108938175604 2.86395422227231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569809321357373 1.45904169783847 1.16796472402103 2.84015311772908 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.56991430014274 1.45817690218349 1.16891548432444 2.83759386038701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.57008819159279 1.45628338029489 1.17095164688553 2.83204891862863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.57060907826615 1.44872897807406 1.17743365616458 2.81172395330983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.571538290735775 1.44242038053514 1.18688120130344 2.7949814481931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552670274374497 1.90328516004385 0.906213097948484 3.78777989393885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552654055436269 1.90282403885853 0.906237431069203 3.78703430549917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552598827446815 1.90235938943925 0.906227605152059 3.78589285246093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552604624016964 1.90163916224143 0.906706855383316 3.78393539733327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552336971780433 1.89793314743518 0.907554286125827 3.77490940922757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552234471798153 1.89466548970996 0.909245943489408 3.76664810490135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.551902454061388 1.90333997129216 0.902862604227864 3.78804409437063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.551241392197328 1.90371012598688 0.899672319383533 3.78858937573201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549814571302427 1.90379605420935 0.89273857003709 3.78888442194999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.545057339666073 1.90587727030166 0.867804023903 3.79539971231231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.541677919275086 1.90855988799384 0.845978461525057 3.80201387393902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485529659196635 1.24646101299259 0.691660295154249 1.0434125524236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485216990024722 1.24604581611041 0.690831802046329 1.04290148675497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484994082649176 1.24580450640851 0.690318735098298 1.04218950728121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484478760343132 1.24494007927196 0.688951850331421 1.04074001054535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.481935199154949 1.24130422247049 0.682456766285081 1.03507743976148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.479664848358325 1.23767562827673 0.676789831077849 1.02975975227126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485871097929358 1.24834744650805 0.692885890443322 1.0466629179511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.486087034025024 1.25022739892126 0.693971584185719 1.04945900234673 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.486820383784346 1.25350792468837 0.696539975341824 1.05504428298274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488445731677215 1.26372894541683 0.705603593200001 1.0719402260532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.490486958040658 1.2734853561412 0.712989799463101 1.08628566021986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.60806605440641 2.57213113782367 1.51097929552797 3.12521388624319 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608288283488127 2.57195371100127 1.51202785575472 3.12467272650406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.60852091250024 2.5717964310125 1.51311388620915 3.12416811558237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608921346067255 2.57150828617718 1.51497073399484 3.12288870293098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.61066253952065 2.56962355268692 1.52336005140535 3.11689355889631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.612341568772971 2.56707313445726 1.53133808012557 3.11044973685631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608118490042322 2.57293453129718 1.5107974994608 3.12734899910943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608167966330658 2.57373607901606 1.51044942073239 3.12886386401271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608168277727645 2.57528792864032 1.50928433772792 3.13215229562206 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608035575156848 2.57978887108495 1.50373564924959 3.13958437411009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608373337855421 2.58589313419741 1.49974673450064 3.15145611746751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.692974243234228 0.460871147689024 2.16253657700749 0.859034572886827 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.69297620120133 0.460919528424335 2.16266807929376 0.859193944179461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.693098840333265 0.46098945752022 2.16350292302828 0.859377692540404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.693331081908684 0.461100127038622 2.16507989130827 0.859640381329193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.693812130847503 0.461454154107715 2.16867202874852 0.860680797476622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.693854972814914 0.461592328059132 2.16955623883189 0.861361629019053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.693401913128754 0.460638526251302 2.16445183568464 0.858046185812026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.693883285713148 0.460377719583439 2.16664065164784 0.856903615421516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.694815916406226 0.459968517114818 2.17087634809715 0.855024041613938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.69846804586491 0.459332667192529 2.18754985677264 0.849759060004724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.693336776287211 0.445706057003428 2.15290037214685 0.822223112418294 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48792131900381 1.43856442448018 1.09786159035696 1.77203617533239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.487991370735694 1.43859470330205 1.09819494659548 1.77287098973848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488066619127456 1.43859445942602 1.09853666518844 1.7737137359234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488212853043219 1.43848684386503 1.0991845075153 1.77496356333525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488840190530049 1.43797419954168 1.10207543306203 1.78071454378144 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489514355089504 1.43751780995837 1.10516948982929 1.78609592429711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.487934312547731 1.43898466076056 1.09794655068311 1.77268460136788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.487930861602673 1.43927543968353 1.09795610827422 1.77323611835907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488165577535852 1.43964325728476 1.09899396057266 1.77376961903391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488689358068068 1.44181306058352 1.10168357448945 1.77991853470832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48843940939081 1.44400599701504 1.10133237669793 1.78739014011506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.798862527305871 2.32052612090166 2.31472353593229 6.84379149337846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.798937901423814 2.32069938960911 2.31564270566925 6.84531059380688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.79902144879482 2.32089047833552 2.31648735746015 6.84680623556483 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.799196592129646 2.32137684803786 2.31786184220566 6.85001917586694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.79951471520815 2.32304428754827 2.32201851634635 6.86142372217302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.799883653740272 2.32459575466438 2.32623864387053 6.87304470877608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.798628257858816 2.32022150842846 2.31517467864453 6.84022263537161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.798506147766232 2.32006595752157 2.31614758031434 6.83737638351253 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.798347087002615 2.31940799170428 2.31917627428973 6.83131910467216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.797931134577856 2.31604089172218 2.33004810437274 6.80227790983557 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.797941722781012 2.31154922292699 2.34416111346153 6.77338827116702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621343863257218 0.701743987735057 1.66250860956409 0.986296746223048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621501467588934 0.701737938165339 1.66337677279167 0.986365885403859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621686168241523 0.701698077821058 1.6643992803444 0.986353485219782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621955521487134 0.701701944221543 1.66591424003378 0.986429483095508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.623298829582864 0.701367519167719 1.67328504703711 0.986601244561176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.6244763598842 0.700917256097883 1.67986369441858 0.986723771211965 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621379565885744 0.701114499674398 1.66210189418358 0.984724103774165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621387242581646 0.700456397201617 1.66157269262739 0.983123885466041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621175892153511 0.699294232959671 1.65924509058218 0.980123227630992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.620099117271761 0.694234522070582 1.64889753088083 0.968623108767555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.619257904952164 0.688951492393554 1.6401907901821 0.960192438184792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521209008243767 0.672987574997109 1.1536222865922 0.600518558075969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521194991598223 0.673013322140303 1.15338185104232 0.600869589678005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52119569599209 0.673061182775006 1.15322892220058 0.601201274044382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52113878192562 0.673184733125745 1.15261558666162 0.60187421260143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52088402422756 0.673779720250577 1.14995815347651 0.604704952626498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520810495486464 0.674614994986253 1.14798840246812 0.607992667736459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521046813022526 0.672895095802166 1.15275330595367 0.600397819702621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520763683883691 0.672834496675677 1.15130103190723 0.600385611106048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520317246656716 0.672690670422196 1.14908550507728 0.600197724876559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.518290769838993 0.672501068275778 1.13766161823773 0.599313620560195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.516879017592226 0.672839608176007 1.12781198918763 0.598677879274071 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.906332043486484 1.58969806090585 3.17262910378844 3.20865642069451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.906422598608033 1.58990431307699 3.17331665865785 3.20937119148967 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.9064976160261 1.59015492694523 3.17378272286112 3.20994184303002 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.906680930761077 1.59066860474211 3.17499811484507 3.21121753392852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.907405544621211 1.59272164962334 3.18004308611848 3.21670584685479 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.90817761312792 1.59495363398197 3.1852331004186 3.22238829411992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.906962694797486 1.58890655677315 3.17927584727289 3.20790087351532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.907633681098181 1.58793571300689 3.18604771767991 3.20709795996247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.908936973867389 1.5857030249823 3.19955886814427 3.20445635777582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.914793818039122 1.57665825981044 3.25879531807004 3.19183681164151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921853469376229 1.56665809630342 3.32792338477473 3.18004108457681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565057321334663 1.44362251808502 1.14834099918919 2.80250617100586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565170481870434 1.44363257089782 1.14913558759754 2.80295023951501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565284357382451 1.44363931985252 1.1498959487415 2.80339767468476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565507282852606 1.44357939925698 1.15140717200189 2.8040664473498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.566294461434999 1.44318549868825 1.15706844702879 2.80647739432219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.566995688094017 1.44241042085749 1.16244574248899 2.80815661659633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565373525686933 1.44446476009308 1.15041504604143 2.80701947686162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565734884283481 1.44521724051033 1.15252511558816 2.81123448021617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.566332978384989 1.44638646568877 1.15651670924322 2.81904883488062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568075095773879 1.45030569325154 1.16989564031915 2.84781707508226 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569089115819316 1.45289128163339 1.18079984318258 2.87254137162979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549067896181108 1.8815198156782 0.894424043121787 3.72783036527548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549066922198328 1.88141260399475 0.894325099330152 3.72764170218705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549089074873286 1.88133734929856 0.894200705873391 3.72752527866618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549085378081724 1.88113095526984 0.89377221537142 3.72695655242999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549061304195672 1.87991509562557 0.892335800678231 3.7246703802795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549130541125442 1.87872638083011 0.890922378946815 3.72180679300209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.548990419433728 1.88106865464609 0.894410285237085 3.72531227953125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.54886069403862 1.88047668671184 0.893960550445666 3.7223823259048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.548500694471759 1.87901147619888 0.893080926888695 3.71621676922913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.547155619091913 1.8731483096535 0.888649107734922 3.69269141989402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.545537465184368 1.86738527772014 0.881901428960547 3.67030695124345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.481829903252342 1.23594293307716 0.680238943206924 1.02908334587614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482104561854488 1.23555115204176 0.681403183676642 1.02849314964103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482413298244786 1.23509790130675 0.682678338314073 1.027789843583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483063925080189 1.23426338506522 0.685304114870872 1.02666170584777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485485839068243 1.23012588966042 0.695316431385027 1.02107004875817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.487923512880417 1.22603034654875 0.705138728946266 1.01537228448304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483048486986112 1.23543401388603 0.68457168006913 1.02775586068737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484184606905513 1.23482019274923 0.688655846518064 1.02625938456883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.486453440166404 1.23378768407677 0.696773804511989 1.02311156763239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.49529068687275 1.22755351323086 0.728189623076947 1.00883652328484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.504077568658829 1.21887161843351 0.760933081074288 0.991899188712348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552273851627762 2.31555748208697 1.20868860033623 2.37383226298857 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.553081189559104 2.31477187990795 1.21370610852004 2.37245654391067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.554197592833139 2.31279985329092 1.22160189855919 2.36867830586244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.556667477034165 2.31150362071612 1.23422500286569 2.36666046613123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.558669022989804 2.31197554525219 1.24598837764849 2.36381575317336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.564056535103679 2.30772651731007 1.27389012594025 2.33850714354116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.55357773774079 2.31489988236278 1.22094546583569 2.38947682421075 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.557357096007968 2.30867025966247 1.24754834848497 2.38850541162633 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561916326087705 2.30154840199212 1.27883978008389 2.37605028451019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.54873507543782 2.31796339554004 1.20862734446427 2.37451758165272 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.548693642171745 2.33018106095636 1.20015637477409 2.39155470867157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.601914231169353 0.430941092012376 1.65189729568651 0.765277611273816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.602818267491949 0.43096148451045 1.65658786287264 0.765487882128247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.603531387413446 0.430778018269086 1.66027813413019 0.765153327939724 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.60386151082663 0.430581123236939 1.66174594401014 0.766446361780697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605778643809698 0.429854738455009 1.67076426798679 0.763681648523877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605411622704616 0.431606219355816 1.66759449190709 0.768108031420705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.603396601815839 0.429648419966432 1.66123671380313 0.76529874803739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.604219864204259 0.428753524522369 1.66805846471842 0.767703394103779 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.607116514081855 0.429735577988101 1.68303060779306 0.770987480140402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.616095405768004 0.449354333733495 1.72776764704011 0.820893108667713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.604160046350067 0.446111858189576 1.65672784656577 0.800118197443567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.553982919149964 1.30054813291082 1.36050069363252 1.63141114989223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.554528854315748 1.30042143958766 1.36315914896747 1.63309398054133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.554907912417243 1.3000801193135 1.36505928622657 1.63422889901983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.555106624500137 1.29855004316079 1.36605112828475 1.63407636214405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.547959283426245 1.2888658102714 1.33055874555338 1.62093326978716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.546173869992921 1.30125165259519 1.32211290624281 1.67601596307266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552977856930119 1.30311101616042 1.35600417241131 1.64532950524371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552238564824799 1.30664062106127 1.35277305094424 1.66454441786999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.545568138291261 1.31470627229052 1.32170718433062 1.70409882514409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523679472287597 1.32916340423992 1.22350582677166 1.84456311354239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.516831463999796 1.34761109602599 1.19920238653846 1.90028818946254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591507469981244 1.95456006450417 0.845583028186244 4.35474277163797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591552185653789 1.95479464945807 0.846480568830258 4.3524937806842 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591489962159451 1.95505805723523 0.848146033794175 4.35036518334796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591533472529888 1.95544347309156 0.85042763604681 4.34516347491789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.59213238737305 1.95724899494524 0.866127812022773 4.32341313364376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.593215004266936 1.96715826506197 0.881149382995476 4.3043002906073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590542820808984 1.95313082575655 0.840754695200398 4.35319673243932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.589334163093749 1.95189764168574 0.83742081056327 4.35257912568931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.586522646751219 1.94987113474417 0.833548163279272 4.35287207002863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.598918114066665 1.96198840713989 0.864704434543659 4.40306978935856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.597844034784832 1.96025221469064 0.871208932193192 4.4045605535814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.56130819080207 0.665242561292258 1.34422458221199 0.890202197465446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549482611864592 0.666123610558106 1.28326694145647 0.889612653705803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.547537451464659 0.667414668154833 1.27341143376784 0.89248774223074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.548260861286135 0.669389406078032 1.27595829385364 0.899459280552818 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.552103586525647 0.675553185524137 1.29394031926932 0.929335131724302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.558444752513305 0.6892312888553 1.32732089154584 0.982707518514045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.606029871808236 0.652910243206464 1.58580604413782 0.889539957152392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.608305210053582 0.651875025670035 1.5985929979813 0.890207591142377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.61132447263032 0.649618513261804 1.6165344913453 0.89692370496949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.606692963057065 0.650236993566266 1.60102057989968 0.924320325374658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.603218536197847 0.642244188446572 1.58049673930879 0.952218662121579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565662833000727 0.716841339987554 1.23559207306567 0.699251673603813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.566999964900879 0.716745844891886 1.24091115991476 0.698664530595715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568342086377318 0.716756244468988 1.24629356106124 0.698164992463769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.570683868694425 0.717200188481259 1.25503799066235 0.697516216433523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.580372119606339 0.719840694347536 1.29169404736235 0.69625601069558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590223881489273 0.72233196868974 1.3290718448576 0.6954740042396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.563884007808901 0.717637630531358 1.22289825333967 0.698810551575368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561407205021419 0.718994578411174 1.20815616192764 0.699003752180193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.554682802762024 0.723216372145891 1.17076132984457 0.704705350416512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.479210265989623 0.735609415031587 0.8418485340087 0.734351044258685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.443785541669339 0.731445662474945 0.716721102203236 0.739741068202475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.639653310243257 1.31855515929768 1.49307502080566 2.09131141773719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.637019286073493 1.32410234700962 1.477261782988 2.09146101756152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.633185019432134 1.32955474186505 1.45538064128526 2.09039968549208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626124235239034 1.34058656180235 1.41483782996005 2.08927459747835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.624230165757037 1.36277645287088 1.39271378041163 2.09951908792465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626330054752253 1.37225607535432 1.39349930510546 2.10081849971194 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.641615007483859 1.31688820776715 1.50231726478228 2.08593917928305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643742891467857 1.31683282528418 1.51042805463834 2.08077894229995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.646993664253222 1.32137314787539 1.52028202913494 2.07470511329805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.666996573531192 1.35282639483736 1.60755847672974 2.08505348116485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.67934668443007 1.36359553246126 1.65926362088179 2.0965109714867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522173872222101 1.55603302572738 0.904810948924739 3.42025580468602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521934193546043 1.55577835442725 0.901529591926412 3.41804668366895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521890653344268 1.55630308348386 0.898986124008269 3.41770658498435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521830688877816 1.55738049636844 0.89513316993057 3.41783661511978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521089951024358 1.56569176378868 0.891672585808079 3.44417510770795 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520642455292782 1.57623181460959 0.896319900978894 3.46867993818998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522006789475112 1.55670179679656 0.910705037185869 3.42243569578839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522100781316443 1.55749223257076 0.919783355985724 3.42595990736269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.524430350862343 1.56180390315631 0.937517928703147 3.43723942684659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53146996781632 1.56440882076118 1.06213246568952 3.4888179028482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538957557193765 1.55743288646868 1.15299512945631 3.50155867907174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.659490176621442 1.97637412670206 1.01733359267466 4.65233047888953 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.659298746649775 1.97489206822608 1.01936881059839 4.65127684893859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.65923058016775 1.97476302522687 1.01907800717334 4.65091511785875 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.659064394414012 1.9747007425114 1.01899719475261 4.65016391972346 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.657588840633316 1.97206153926054 1.02524612128533 4.64914325205283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.650183824268798 1.97020059750629 1.02785676540443 4.64715330634006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.656553197712774 1.9762855356411 1.01379449165756 4.66238095278868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.65400002733887 1.98147396825396 1.01278143209329 4.67431045720824 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.648051245512698 1.99150303271462 1.0146332338415 4.68669246803901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.634096999873521 1.99292765399561 1.0181321219923 4.65742165964683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.63303163370828 2.00672826251738 1.02583180602151 4.69063929987979 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.434225381268553 0.972278707147418 0.495099259682875 0.700367322739941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.431598811687663 0.970799405549469 0.487571428090227 0.699612139998137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.42887411002086 0.969271804844927 0.480121904301855 0.698630584467674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.422990875302037 0.966074450538523 0.464584774434727 0.696922731179775 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.39897850188776 0.956681188889672 0.399440538530052 0.692422867585801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383864194665939 0.954987037315238 0.350977836730625 0.69371376531092 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.436078761756572 0.974162556261891 0.494527461025538 0.701443287434312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.436922059944412 0.973971613839729 0.490525118087464 0.700471400768761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.437523188693793 0.978996076073771 0.495081474169785 0.705486903789604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459192602078152 1.01127874144526 0.601678961572269 0.744701368601541 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.457713092252379 0.992700396190174 0.635707028457603 0.734297715070525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925990410690433 0.862382087176869 0.970544066436658 3.18083967543241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925994661267052 0.862337534760282 0.970539488721261 3.18037862518502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925990376639539 0.862305418475438 0.970536059594342 3.180043569611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.926030055381542 0.862166439902503 0.970525872626294 3.17873064239106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.926175604260026 0.86175350832026 0.970559281831764 3.17472778222348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.926337538747212 0.861055137384349 0.970669609269307 3.16846827142849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925997617152648 0.862406169716892 0.970574594654815 3.18167528548266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925843563404237 0.862583520200242 0.970619602866923 3.18362878611866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925505925993738 0.862821629305184 0.970555686506209 3.18684726530016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.924413247733723 0.863299388557048 0.971016032548138 3.19443193029992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.9227161064464 0.863452381723369 0.971337015864729 3.19852167740152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85897583446763 1.79550237349112 4.38650224728122 14.5706973278764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85896734675456 1.79551747953737 4.38651393247288 14.571025953367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85897010759182 1.7955137725138 4.38651879815355 14.5709539134407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85897399815784 1.79550713382955 4.38653663149114 14.5709122926468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85885326421026 1.79562517437708 4.38675752860792 14.5739769343806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85865218153184 1.79584905835159 4.38697142864102 14.5792607903154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.8591233643304 1.79546156924604 4.38662200660767 14.5701392393557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85912630807004 1.7954179092191 4.38652544956654 14.5693976856026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85904108123275 1.79544509310586 4.3863722332973 14.5702868654926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85867044329904 1.796281682973 4.38642442587404 14.5900129570201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.85895827847939 1.79656832315044 4.3863213031269 14.5994132883753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.723366077590034 0.65413289056117 0.972014758586944 2.38030699901348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.7233920075156 0.653739184290178 0.971974153972157 2.37713882320258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.723389181625493 0.653742098968759 0.972006290420465 2.37720361040181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.723478879696502 0.653783676477487 0.972165193274466 2.37753171977789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.723192004132096 0.653652236459495 0.97123052439336 2.37764408162597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.723501012731328 0.653181490656312 0.971676400846172 2.37526612278032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.72288520468407 0.654223284992916 0.971001650552434 2.3816230502865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.722851492915033 0.653820025408496 0.971235943612777 2.37874818072385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.722452424123714 0.654343171098142 0.971906172065257 2.38290191710515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.722350643618461 0.654248782138245 0.975120063275744 2.38581961202658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.721855985368652 0.653543653928532 0.977307272431169 2.38636992237702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851301978453653 0.767651496129302 0.966197046664223 3.25319375928336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851401569813348 0.767646630058179 0.96623525993184 3.2531313581122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851456480279802 0.767650162674488 0.966243052174245 3.25315664001408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851639507412771 0.767682932835496 0.966243415928887 3.25346944066135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.852264177466442 0.767557418698454 0.966066578503227 3.25257085584675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.853262229943204 0.767326241605849 0.965530013226751 3.25083825355855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851185514611429 0.767904646952767 0.966123422194908 3.25511670453762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851211131393061 0.767987201480988 0.96609110118987 3.25565895439152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851530499629977 0.768101676243258 0.96606696018483 3.25650860943322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.85138261275974 0.768184524837948 0.966023577206306 3.25666829949467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851884640662277 0.769540967577936 0.965763875611359 3.26647947936387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24893414180196 1.19096378689195 1.72875442426374 5.46046012563792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.249035779121 1.19084464842872 1.7286307103195 5.45858973653782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24913682923888 1.190733670477 1.72853980538285 5.45687541668879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24920401437843 1.19056173092966 1.72865828280019 5.45458470417192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24924097951229 1.19019784591911 1.72952679232611 5.45024008401432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.249133135025 1.18994960606612 1.73050446433614 5.44803977385225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24902722891854 1.19101548460996 1.72874553556951 5.46081297719269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24910446526879 1.19099039899809 1.72890927447485 5.46038137670146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.2493036072275 1.19061418710318 1.72940696021791 5.45565372737889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.249386785026 1.18882376990018 1.73043021271749 5.43463524613206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24853443769932 1.1886611718673 1.73069231058351 5.43441564609408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848636707636843 0.832951902334168 1.93818416362938 4.1621563632714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848673383519146 0.832918316136886 1.93814299912109 4.16253640870597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848677024957902 0.832889137642708 1.93810411173463 4.16317938299917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848994963890703 0.83280887419546 1.93784635805497 4.16343365367019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.849003593579961 0.83271982284718 1.93756670763571 4.16737543695315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848710280642129 0.832720043295887 1.93586716057811 4.16995229468895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848730864434029 0.832672782756244 1.93834606108236 4.15757857293815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848771568575889 0.83271997006615 1.93837933096328 4.15621067207039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848757636882375 0.832784616046929 1.93847196757431 4.15389018450319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848844575605509 0.832004126233145 1.93704868312125 4.14217501479571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848546405023996 0.832014175639925 1.93440933317675 4.13953257629081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997463454329864 0.948843716026498 1.08680448459219 3.59497834985554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997385642526831 0.948934988804606 1.08685340929538 3.59591000649539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997418010566524 0.949089883626946 1.08689334397912 3.59712639728229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997576454882213 0.949241252059016 1.08720784320537 3.59863487059382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997430330212429 0.949959267000154 1.08771406318589 3.60536123687436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997419768520168 0.950442263679943 1.08819954409015 3.61030202556675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997549934867397 0.948816382879988 1.08697158273673 3.59421531734419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997390636772206 0.948984192453726 1.08707562008538 3.59519415633987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.997671296637682 0.948136319193884 1.08772090453849 3.58713953205462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.99919012266544 0.944466542850455 1.08799102446719 3.55653215044657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.999668159107089 0.944233168012629 1.08843047154978 3.55382189675328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26456840413931 1.17946121913062 2.0347010881406 7.57393917087035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.2649090936138 1.17934842877372 2.03457207026174 7.57291153036693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26508180627656 1.17938843992386 2.03453484161648 7.57328789325817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26552831226351 1.17951686168576 2.03445175014002 7.57459296428771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.27126161019492 1.17869459287719 2.03496440488947 7.56633122748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.27224193785471 1.17894095391944 2.03274268905733 7.57064332082016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26470209868718 1.1800807552565 2.0347098389922 7.58021362837915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26474494353724 1.18077820892389 2.03483598423982 7.58705505091119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26541488556272 1.18168432808323 2.03538343180264 7.5958255335751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26704367419124 1.18173220643669 2.03011348136641 7.59090689283706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26928143834791 1.18101415476462 2.02964078806263 7.58614499381159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.741091740216559 0.701987811216135 0.850472477324158 2.45287957985724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.741180225277776 0.701895099349707 0.850486040540449 2.45180187064889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.741267765363779 0.701807455480348 0.850495379301625 2.45079954089405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.74138408853914 0.701679060327348 0.850527328934683 2.4494568265137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.741763338729006 0.701565000794529 0.850735159569531 2.44754506921776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.742187121345201 0.701250182417153 0.850826353349102 2.44369052185238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.741027510072683 0.702072373554271 0.850438842835192 2.45404005621291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.740948400950574 0.702191700821519 0.850390917031368 2.4554501633391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.741010676526192 0.702060586686344 0.850326743262697 2.45524144526305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.740840685504103 0.702859284943483 0.850521679887012 2.46411129146324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.74039173567079 0.703661776981358 0.850163953901462 2.47092653562988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.658532334841117 0.60989820249025 0.455403182054769 1.38896818968991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.658387166328782 0.609999738988404 0.455463815282598 1.389631039258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.658332296274111 0.610031494630553 0.455500070450549 1.38983136572116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.658336414779259 0.610128462374229 0.455587257821045 1.39025635994523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.658351690623493 0.610597723877366 0.456006930731541 1.39320667755039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.658126786350115 0.611260837775075 0.456014545905834 1.3981634735148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.658725864600199 0.609855647884012 0.455299375693031 1.38861615978708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.65900056555292 0.609906601021003 0.455249442826345 1.38872508361317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.659549310416104 0.610071111284259 0.455538680103068 1.38954466384431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.660800554534532 0.6107455094808 0.455106442070172 1.39385604743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.661733323812829 0.610952230085178 0.454700389209546 1.39489329765873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.895758223816809 0.830948636538439 0.971601182390351 2.89744937765857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.895866594891733 0.830834760910726 0.971600068322112 2.89690307469454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.895758356495347 0.831036931821885 0.97143391451611 2.89855611694861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.895826432650473 0.830963693620827 0.971328239908737 2.89796160901003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.896099495246223 0.830827719168842 0.971205381199948 2.89778819520653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.89597116489409 0.830752288430308 0.971266489990375 2.89774869108133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.895459215835711 0.83070688048218 0.971833644240257 2.89777964809427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.89552587112503 0.830075545484101 0.972264823181963 2.89502166874922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.895893457102729 0.828808535602357 0.973232767554928 2.89159504131347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.896342174482312 0.829636856796008 0.974547216054224 2.92216149248725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.89809022393891 0.829956466307521 0.975750407566168 2.9390880027429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06299177159284 2.02572208414842 6.01820935000887 17.1881054593814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06343632779593 2.02582685109624 6.0180022653994 17.1881699473798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06366414969657 2.02592631636084 6.01938576611705 17.188515690005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06418114819378 2.02590678387617 6.02136156749327 17.1844977878496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06526401442286 2.02760245824429 6.02805134402975 17.2079402673083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06603889702684 2.0289894661191 6.03164242841164 17.2294381032914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06338263902897 2.02640495944935 6.01742105663283 17.2074061439215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06351321398232 2.02688370057617 6.01615511242054 17.2214833968315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06414638926128 2.02745554118184 6.0129481586963 17.2358278268748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06679372716944 2.02600204749051 5.99776891109197 17.2036995914049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06699387263052 2.02549689551772 5.98499550831738 17.1958669485791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946162458302057 0.895637225755281 1.79704767244988 4.01981249657408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946087197984176 0.895888996480218 1.79575045110105 4.01939148176801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946071919983996 0.896094946738471 1.7943342703911 4.01847525864891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946091861685264 0.89663480565591 1.79182865224522 4.01749406040147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.948439703995447 0.896830518324018 1.79056278771609 4.00403259651018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.951560252606334 0.896662142049054 1.79319118088643 3.98780216655242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946149102756778 0.895112623276331 1.79867708855925 4.01737368489516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.945699090136908 0.894265685663273 1.80035550236008 4.01590882753614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.945694295765328 0.893221519488797 1.80484742686773 4.01356494220876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946578834065712 0.892138318463589 1.81875912068304 4.02356504532222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947966918873252 0.892597795578516 1.83264489368812 4.05071605615547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920099860492872 0.754902049893887 0.933713719599662 3.03613998055151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919886635173425 0.755065834913737 0.933722876497023 3.03765070082237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920064477372448 0.755311973319233 0.934038536870932 3.03953550531701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920216889021185 0.75546012110719 0.93442696116978 3.04097483067885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919568427595462 0.756506618051915 0.935109179915941 3.05068615961973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919331786126044 0.756650657565202 0.935439742120373 3.05320456141379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920024655499615 0.753516742028887 0.933375433583934 3.02586298944645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.92006216300584 0.753135072544793 0.933353115199622 3.02340585260285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919620988122625 0.752442057184414 0.93309859396394 3.01889628176888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919028019289347 0.752651364640351 0.93390284091915 3.02440591465575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919830442532653 0.75149849011481 0.935628418710498 3.01913815031335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21680655947087 1.08720463936576 1.44040310311498 4.63227573191266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21691943513125 1.08705279533968 1.44029857415054 4.63059670449006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21697755455372 1.08693734576472 1.44019618354086 4.62938435277204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21710292147024 1.08670061405067 1.4400813941487 4.62699505506773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21771541451265 1.08510730165422 1.43962369940085 4.61056751591132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21784676466541 1.08401142638005 1.43929338793202 4.59969010544661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21683208451304 1.08733656073121 1.44037655785687 4.63343840464536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21703712789821 1.08716723476773 1.44055535779888 4.63140186503896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21742015124006 1.0866644004263 1.44084401550778 4.62496311102945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21710217780686 1.08720622903987 1.44120925919688 4.62487489576027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21476929233292 1.08846133795316 1.440868797331 4.63905415099387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947607271806574 0.911457010003443 2.1643231150026 4.66222823643711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.944147335388957 0.912091489744707 2.15479795228106 4.69290461197407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.942629384900059 0.912394584254693 2.15096156822248 4.71028810907379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.942470407029233 0.912821998725814 2.15053261816729 4.71731325267735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.942797344508137 0.913674864012789 2.15217509253773 4.72612445757575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.943633773516462 0.91450820957311 2.15344626074447 4.72799935841863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.949019312298675 0.911110252670194 2.16781427393688 4.65840239524427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.949704295921138 0.911627493561628 2.16960701323235 4.65989510737824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.951029243104651 0.912653901602106 2.1749080959854 4.66944909397057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.953377227930132 0.914524157074703 2.1877082103367 4.69097871023628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.952968685785035 0.916433509307888 2.19178255192814 4.70855857280513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.979501572811879 0.910559240759809 1.04665515131624 3.12613780469533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.979531949839232 0.910550937661382 1.04669793115857 3.12627714667325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.979594059613685 0.910531861288467 1.0467325075104 3.12634067655654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.979704924341955 0.910516724248326 1.04677910414501 3.12674125353718 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980279999356062 0.910293257745848 1.04701101184082 3.12660797982276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980821201064292 0.910028369279251 1.04721966309941 3.12613298051836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.97956896493319 0.910580319439186 1.04671379497421 3.12688201876611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.979500967197354 0.910659046411777 1.04676985564745 3.12810206318515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.979609037319394 0.910710544632475 1.04677062793324 3.12918259860705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.979584501065146 0.910708665953354 1.04662351124876 3.13058756687623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980237132839278 0.910181627568683 1.04670389355478 3.12550368330988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30538825273598 1.08678918150181 2.20895024057524 6.86950207241017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30580332845579 1.0864515423122 2.20889424383735 6.86605499531367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30626114725907 1.08590837296797 2.20877822876627 6.86064476075094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30628951482901 1.0858750675168 2.20886092471385 6.86047367462925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30766464030925 1.08457948728741 2.20889929846259 6.84825196987389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.31011768891345 1.08107983466612 2.20883441987894 6.81421110861916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30642170014529 1.08595099483766 2.20875178618312 6.86104908684648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30663957613807 1.08585976640359 2.20875990729644 6.86027299080471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30776866199108 1.08385863021214 2.20838645630456 6.84122052882471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.3090279476317 1.08365428410409 2.20847770429903 6.84363181373833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30999134968107 1.08210881190894 2.20862453889819 6.83254125118316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.754776593031369 0.738116683433942 0.865480090006039 2.35806068753696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.754765826811123 0.738110688058847 0.865480758276571 2.35797077200625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.754722597448653 0.73810017661873 0.865494365571197 2.35831658379625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.754586593337857 0.738089037182255 0.865559751054958 2.35987432048844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.754857433955019 0.737852502207867 0.865401950437587 2.35897986383388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.754842102590317 0.737411151080666 0.86520943129514 2.35863893688127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755200056588299 0.738392794410686 0.865291750656378 2.35554509430317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.75557722992579 0.738607066822689 0.865034422251702 2.35478641330429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.756247763701175 0.738433312511465 0.864825423343874 2.35130294999276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.75695606485322 0.739296095662044 0.864197410889706 2.35054903759515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.756133436561183 0.73957038577639 0.863269118998495 2.35721485692027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.71254465385989 0.619526963943208 0.518299444441423 1.30803716577877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712404187441778 0.619602027398967 0.518050987246102 1.30845152601677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712270188932447 0.61962494545024 0.517765531832413 1.30869257324792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712233082634067 0.61946644971067 0.517290259280734 1.30779015356278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712883125268426 0.618640272213036 0.516730003562627 1.30353877501851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712012591696363 0.618768639884421 0.516549702688836 1.30673130470591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.711707700284784 0.620221022095324 0.517798082758964 1.31272325316296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.711345591388061 0.620341321680492 0.517873825873722 1.31444907856528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.710718063550145 0.620550491641827 0.517336773684964 1.31752270829744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.714494972874625 0.622347868443584 0.514638163149635 1.33092926559974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.714245768294212 0.621990756889655 0.513040954810605 1.33219426222738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947458509216006 0.879849891421092 1.08420877500675 1.16703422102876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.948209770338057 0.879024304282527 1.08772585317121 1.17073721587589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.948330993323114 0.878388227813605 1.08896560314829 1.17298692167746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.948536764252719 0.87754115764331 1.09031131950654 1.17585206740616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.94824291791113 0.876891403359142 1.09045736805698 1.1739962471425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947241648583999 0.87590809879887 1.08443705814555 1.17300353136564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.94547629358255 0.87913926658439 1.08020398512183 1.16525436964485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.944494114384176 0.878573237900024 1.07308389628008 1.16598648534342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.942140012039933 0.877489499301789 1.05832897869783 1.17313372246955 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.938802694872795 0.880869940007993 1.00840366789826 1.1675237353774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.93507397311277 0.878362042155941 0.962377850800588 1.15339004305731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01487031610449 1.36280965853954 3.11649434815789 6.21019582043927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01485627699949 1.36223588091397 3.11644781563147 6.20571192880695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01448487158565 1.36178310472265 3.11652187512137 6.20483034987976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01377012546974 1.36082786554125 3.11629105621053 6.20253198197127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01172921564392 1.35808067696809 3.11461858316052 6.19515038129107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.00913876829746 1.35561443530596 3.11308488200664 6.19278712841121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01375971580368 1.36318243802202 3.11690525464762 6.22358803282714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01123582932228 1.36379087180676 3.11630162695538 6.24419641415631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.00538815033774 1.36436487470313 3.10849829215834 6.25725476699537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.99817167439584 1.36401422927157 3.11006392915311 6.30355474118286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.00641791914892 1.36676673692958 3.1235456333599 6.32891040156666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53869891143335 0.748533974692696 0.701609150958715 0.969150723079926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538761099836911 0.749709958436983 0.70198780652829 0.96970454509367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538826670860018 0.750659392833477 0.702352937958777 0.969977611058501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53881114796574 0.752265055417767 0.702054362799993 0.970126263524013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538428055524129 0.768119692902656 0.703857158036968 0.976883196821762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.533163824413311 0.80151469986054 0.697840439419228 1.00575596793818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538948072470729 0.749690592630416 0.702850343236113 0.96844931098921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537562579979842 0.759954985210753 0.702225587824807 0.975752215094415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535886460150024 0.777226871010884 0.701346174413501 0.988307973004305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.540610551177567 0.747558973437411 0.708020801513199 0.971776745564797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537628627299846 0.753836667517391 0.710190818630439 0.975091273822255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410862589487589 0.367804509092262 0.534939691249119 0.240730867917257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.41957906899078 0.367401508452385 0.565019079235426 0.237593010715499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428416068569802 0.366909591377742 0.596325633318169 0.234300926021603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444824969640695 0.365553965499474 0.656712602746611 0.227593522093763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.450108002992171 0.361084117444052 0.707366661459384 0.216690501850653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429837131523979 0.361119726051954 0.622139851526018 0.221412373051892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.430789864154051 0.367072581458134 0.60638181458294 0.233649631019652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446510827089121 0.366261223534416 0.667657429589219 0.227512708077076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.451547514275676 0.367939908764684 0.70688510096408 0.225072552889113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442848162423492 0.373709594302523 0.672350764181859 0.233132212141584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.430590291351548 0.3766806492766 0.627011493819903 0.237009048697149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.13519086041137 1.20543187677585 1.39113289757654 3.221010879032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.123569744024 1.19233538600288 1.37225060838738 3.17766453885781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12224670512756 1.190895345677 1.37019613939903 3.17340541335484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12189588772341 1.19045248512037 1.36939898705464 3.17285300488366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12182104583485 1.1901345882259 1.36945307821999 3.17156146046659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12206019818034 1.19103387077185 1.37131685874848 3.16871490492018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14420537789763 1.21743999445829 1.40681446302989 3.26670302147896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14487801602788 1.2180084570636 1.40661627593979 3.26817718969492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14498494889418 1.21860707840201 1.40582095479653 3.27137153600913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14543842854332 1.22164901791636 1.40506789182432 3.27742335971934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.13903636402316 1.21991421875884 1.40573682529311 3.29535862994606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746981441604666 1.41212942552174 1.53420638101034 3.75057078184444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746882794418809 1.4114149068622 1.53433357442471 3.75003777525657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746229517598802 1.40889026535801 1.53411234491078 3.74926009374392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746660498826864 1.40846737723528 1.53508905375797 3.74809409669309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746782681910618 1.40945973071009 1.53481029802858 3.75252456745229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746520445315207 1.40840918865912 1.53425021178348 3.7549995762467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.747052136189221 1.41228659142931 1.5342509199821 3.7504868704167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.74714860638597 1.41270817644582 1.53417660541605 3.75068301562087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.74708822015353 1.41407456407734 1.53468819092415 3.75353765808254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.747945864617234 1.41969312717407 1.5338696277605 3.76320867344357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.748366139027045 1.42316716763511 1.53305632093402 3.7777919537349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987170629290876 0.908210610387581 1.33482246404023 2.00430785742517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987151815427027 0.908116938026854 1.33492008130783 2.00437626937539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987153767949199 0.908039387242685 1.33507282091809 2.00435922353741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987189538775237 0.907965275681644 1.33546172871457 2.00431758255665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987390285348559 0.90768339742505 1.33659588317752 2.00296508472412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.98765278424718 0.908529029724962 1.33296724596099 1.99966631341429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987394975418939 0.908228431482025 1.33546666653731 2.00419261322231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.98752036883602 0.908080967089672 1.3364987371942 2.00426458695898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987626865319228 0.9076997099408 1.33910024630213 2.00568531838573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.98699277367455 0.904802710432313 1.34651811525209 2.01114712818731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987298682245783 0.898484469606812 1.36509155803267 2.00684161053078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02831944208283 1.22248523253608 2.98472804295826 2.58675609543607 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02848503120274 1.22268147447375 2.98446585228835 2.58662005985934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02854334449467 1.22288460671719 2.9843818726936 2.58633355232459 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02889380546256 1.22332872771853 2.98412277456537 2.58589493195757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02992233621468 1.22407071530683 2.9843271717615 2.58396733077225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03071368866111 1.22458038622294 2.98484290910428 2.58165455639512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.0289845205391 1.22291756464678 2.98345281796818 2.58617259813578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02906967578938 1.22222034271662 2.9831261043844 2.58654473027776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02860241854439 1.2199496845875 2.98235664471573 2.58588396714103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.0251902691168 1.21445479266468 2.9706231100613 2.58067046066011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02371076151374 1.21003455749962 2.96162479817535 2.58459585230038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21168863452268 1.44055366211843 1.32603702172142 0.557005358581928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21065327563938 1.44049443484428 1.32431866367419 0.556998490949869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.20960821915708 1.44053494565524 1.32261815132789 0.556935186938247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.20733864913995 1.44050740102688 1.31896964861718 0.556804560562952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.20597178005123 1.43945956140207 1.31535314115908 0.557368047329943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.20091553326811 1.4362516540805 1.30610816297939 0.558348468515424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21253762913886 1.44094334845438 1.32767041009275 0.556516682253402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21292895698162 1.44117659700931 1.32930648513108 0.555744301763624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21341592652993 1.44098363999297 1.33176016294728 0.554478541972413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21413060881318 1.43283856908943 1.34343304037549 0.549362267389599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.2184270512072 1.42655103055816 1.36200188156176 0.54330620413257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0594507634538 1.17882883851111 0.961687674109131 0.325489818845412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05939676565073 1.17870884205705 0.962078682403803 0.325434717404501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05935017106654 1.17862388435272 0.962335094110253 0.325440113108818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05929841643665 1.17850506789034 0.962773622032752 0.325496037462151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05971049051 1.17860146113515 0.964182895193823 0.326424390506397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.06031395620694 1.17842563058165 0.965672646707356 0.327967317017921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05927002253633 1.17862257416028 0.961176400773642 0.325731016070083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0594266747097 1.17866108348277 0.960925890488557 0.326136581105075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05977147774029 1.17872087055536 0.960492756107383 0.327012846180577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.06079401989241 1.17822897113099 0.95902713806002 0.329937087767074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.06149606423996 1.17693474006 0.95843290141527 0.331734102937715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.917763267453015 0.795382787704445 0.846327419477551 2.57364854382292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.917723312483441 0.79541308425617 0.846357668371845 2.5738938672286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.917684960353625 0.795447616913371 0.846381383141803 2.57417369449714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.917640845140644 0.795489198086045 0.84645013789514 2.57457206487235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.91737910358107 0.795678407210566 0.846723548499614 2.57638639841518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.91709065606013 0.795847904167967 0.846945551011068 2.57822571574466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.917941095444901 0.795317530503635 0.846376182356081 2.57325944944524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.918041227956616 0.795305178373816 0.846390833685614 2.57337365017477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.918271093134848 0.795255882467384 0.846396317711341 2.57309288204669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919124356678006 0.795084383275474 0.84627158526386 2.57290002072596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919799999348196 0.795100999286005 0.845642747115132 2.57398369883747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.854868205911508 0.677426607406827 1.73884042456199 2.44423012141548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.854848179386307 0.677357885037243 1.73880284961752 2.44387522967088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.85481372403706 0.677331462402406 1.73874084231614 2.44374519479954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.854767007639928 0.677229870823019 1.73864391299323 2.44321996199977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.854092536741105 0.677129603930043 1.7381301789569 2.44202185089252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.853981219833335 0.676642722304601 1.73858280752788 2.43934736949819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.854658608210358 0.677456848786138 1.73866528895652 2.44475988758396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.853945502505381 0.677779564514709 1.73804403971481 2.44631056060368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.853592203879314 0.677592650368702 1.73701649231937 2.44652287191513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.852063853392636 0.678217691334311 1.7369444194213 2.45255250745122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.848939177092965 0.679430722110805 1.73468571710347 2.46179830285372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.923625861158408 0.870314800094738 1.0364297567368 3.03619417678011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.923659878830825 0.870282259577498 1.03641135905547 3.03590784858073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.923693037451516 0.870247322939567 1.03639161930391 3.03559290634333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.923761721800957 0.870188822508535 1.03635310313533 3.03509902447205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.924012916889353 0.869998091905081 1.03618537208838 3.03345643164724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.924289324647975 0.869762847939568 1.03600453888237 3.03130282183728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.923470474089446 0.870477418629221 1.03639137693302 3.03774256810793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.923329530123929 0.870616696128759 1.03636713100013 3.0391118314158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.923028397533132 0.870939049701588 1.03635078726074 3.04224967219767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921801619860807 0.872400132773419 1.03660554412242 3.05589805018113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920857917805957 0.873508791353099 1.03765898494686 3.06665889087277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427214750310496 0.388255387282111 0.201146457392531 0.557962569274385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.42708880205467 0.38829736085277 0.20108984824825 0.55812466662715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426971262680343 0.388330251703569 0.201035770177099 0.558251697311563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426735517804398 0.388393093666891 0.200937919579875 0.558499830417065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.425829748117236 0.388640497492667 0.200571808999723 0.559575857011885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.425022470558827 0.388845816782536 0.20016997709661 0.560469149130655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427131260019234 0.388179838199048 0.201102999634622 0.557892312337432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427040776200463 0.388131697226762 0.201060468697846 0.557931126637525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426840639607356 0.388085634174547 0.200964591585769 0.558222432890305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426377690849574 0.387994348585235 0.20038259490026 0.559480638653496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.425994833014912 0.38755949567359 0.200013436182544 0.559771459504406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708327239832024 0.398374293073946 0.419399865225535 0.817466920543061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708313587399054 0.398386381273423 0.419410526179884 0.817385105438479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.70831548809419 0.39842407243529 0.419417222761784 0.817453382051505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708297266644338 0.398494369356839 0.419424598033155 0.817568746705027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708280267637386 0.398892177372435 0.419424277982306 0.81847095549366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.70821561421137 0.399411425941532 0.419440430727123 0.819943658181432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708289026326563 0.398348352225603 0.419354604928367 0.817005335583575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708274787001834 0.398339554625676 0.419296853926551 0.816577352257203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708313765154765 0.398434865799171 0.419173989854232 0.816236116018983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708632763168667 0.399137040010507 0.419093629704336 0.815985349935323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708707063925444 0.399786983717564 0.417748902858994 0.816593510040159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212896520528975 0.315082759805337 0.0556556035159794 0.166034520688909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212894434663718 0.315105298774954 0.0556721204653032 0.16606763366927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212914587900177 0.315109091377332 0.0556920873657938 0.166048011235408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212903737173625 0.315114300095958 0.0557156962860027 0.166121579964391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212960175746941 0.315260482394505 0.0558317369346096 0.166300479175189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212999063461604 0.315420471826473 0.0559537735625434 0.166554903152797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212767416169662 0.315081925156174 0.0556162733228996 0.165873416926842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212648840211934 0.315058272580216 0.0555837000011713 0.165708534582705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212430181216446 0.315016404680613 0.0555265159931439 0.165322360188384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212037895430512 0.314310766592202 0.0554773111616413 0.163350501287052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.211923571632685 0.313207073034747 0.055457168823115 0.160971284029089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.18309293260609 1.00397889315008 2.39500716507649 5.85731400913209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.1826636657925 1.00386597918202 2.39433424013333 5.85563556325803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.182693993141 1.0039016511349 2.39435385504417 5.85589618276713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.18274385403815 1.00392343998854 2.39431779882105 5.85601230748036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.18302573743492 1.00409545126235 2.394428518387 5.85701279832329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.18314156524145 1.00462466271547 2.39368790600764 5.86028014357938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.18291316090832 1.00392958489986 2.3949537202127 5.85670028830835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.1827262787687 1.00385445194696 2.39483565630446 5.85588398511258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.18238988209176 1.00374440162964 2.39467807890554 5.85456471807632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.1806705937949 1.003618055964 2.39304469181093 5.85103631014307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17963020075169 1.00212898544194 2.39483364835286 5.83562135381829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22203440017652 1.01122511350466 1.73463373196332 5.70361110661202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22188280559548 1.01131917923472 1.73470401211506 5.70452810933696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22173982144671 1.01141486731651 1.73479230504225 5.70545519626519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22145122937446 1.01153313544031 1.73496094884976 5.70646028676535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.2203043387573 1.01250958960762 1.73562504396676 5.7160521670504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21914859417067 1.01361544766662 1.73640837971417 5.72693103070715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22199378301646 1.01118187498229 1.73463291505232 5.70308766363996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22197252059799 1.01114331849936 1.73462279934329 5.70260931870564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22181388416623 1.01101384676377 1.73460300641074 5.70125556299393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22044858504321 1.0112354546705 1.7347119940028 5.70463551276939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21845648579466 1.01168189592907 1.7354551957456 5.71130230260063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17726681085682 1.19988985884936 2.14687849839205 6.62766776864447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17735399092994 1.1998378533649 2.14697701635154 6.62708206347264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17744487027181 1.19976565592432 2.14709099758236 6.62615958327026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17758090683488 1.19965256642917 2.14722586232901 6.62484971006176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17827390043634 1.1991417429151 2.14802359815768 6.61891378877111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17893127041455 1.19868748687522 2.14896116501586 6.61381375797838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17743809239247 1.19987446853858 2.14716177618115 6.62760635725989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.1776092249336 1.19987654714918 2.14746594485093 6.62799702684725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17797079257528 1.19990877109799 2.14816041378893 6.62890713737367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17935592328826 1.20024762575979 2.15073541456265 6.63474565944795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.18069894838922 1.20097639632651 2.15322373505402 6.64400352872542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536721228964139 0.453763917118495 0.331772111116602 0.814497723586695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536701807281897 0.4537358595484 0.33177269102418 0.814356212045608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536671865222497 0.453707523473634 0.331779772630864 0.81423158945318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536628096998197 0.453648459838974 0.331773718897065 0.813984755103227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536419512905804 0.453403451988507 0.331785167006507 0.813128394770812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53620709058829 0.453182692013009 0.331779623130646 0.812413070881269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536829283179939 0.453801583951124 0.331650538346418 0.814192414055579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536912364985984 0.453821445117805 0.331547850970517 0.813923179081326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537105440313074 0.453874332594441 0.331339472165681 0.813402474046598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53804882456123 0.454067049851258 0.330636868880498 0.811278122984691 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538859560708891 0.454012170336616 0.329963758136037 0.807556327759832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806458581233505 0.782153768725244 0.886435205210675 2.17806975713177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806442606434069 0.782097257782496 0.886547225155481 2.17751422639308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806421808604907 0.78203809105743 0.886617686476616 2.17695887218132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806398025988502 0.781924247727813 0.886913734468575 2.17599329866963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806164295260114 0.781414961148525 0.887751715688591 2.17148917330636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.805888579280917 0.780954682501494 0.888873256660686 2.16784004096361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806415758121188 0.781988241324604 0.886926147037209 2.17792514309091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.80637791008139 0.781833514585952 0.887363404783495 2.17776353208528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806266352072799 0.781417493965594 0.888245052319504 2.17681645997188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.80609610927639 0.780079786361915 0.892080065717056 2.17434585321641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.8057910674496 0.778826859853036 0.895219321273735 2.17159085149429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652114918535591 0.618715598903162 1.1501073091841 1.93064535846193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652142691197218 0.618691431435593 1.15006807551471 1.93033901349766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.65216040555743 0.618684309120174 1.15002978524188 1.92997752687117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652190219290259 0.618646805602535 1.14993939350076 1.92930010376403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652373572609959 0.618550953554833 1.14962682187059 1.92670204098689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652690164480494 0.618426392277035 1.14939299176263 1.92418578604196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652158133945251 0.618907251479045 1.15011297620247 1.93206562756237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652240996099338 0.619106234787405 1.15017352747644 1.93358802615705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652322998332097 0.619495055804824 1.15024323967652 1.93645945976076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652597846525396 0.621351547298944 1.15108717586408 1.94739475090399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652605919581902 0.623081826542977 1.15288347202259 1.95368270723152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.73348852582077 0.59649144596865 0.796810009549499 2.03072371885618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733501306400606 0.596480137849491 0.796823130791889 2.0307089670467 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733400757007009 0.596408220187153 0.796595138476145 2.02898425904181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733450735026401 0.596367260368731 0.796589135302268 2.02868853039396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733791699111729 0.596252837969578 0.796672869591229 2.02790968157888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733603243423065 0.595554971552592 0.796544260263359 2.02315336312039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733237923664233 0.596556932749341 0.79692070135864 2.03133912426045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733115741897473 0.596636757852381 0.797079588159012 2.03200063889641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732469604009366 0.597325575750413 0.796835148380526 2.03378190454343 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731996997237311 0.598279121331088 0.797915778588361 2.04628980359854 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732290964745824 0.600674279332623 0.797749025881418 2.06798938283661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635982522306356 0.907792124164892 0.718907284961789 3.37174336389779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635982798483407 0.907809774793782 0.718938170410231 3.3720067780694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635976118302676 0.907803835240725 0.718959510428278 3.37200436711355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.6359721477324 0.90782072033048 0.719006911954221 3.37230461303622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635961911863784 0.907938272130328 0.719255030374092 3.37401461618821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635939081476267 0.908190059960592 0.719425862734143 3.37716671345682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635944290043562 0.907541266099913 0.718803441921671 3.36917924116487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635910993676111 0.907373073377805 0.718852411323343 3.36719518915552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635819320973697 0.906901661870272 0.718703496194462 3.36246378255949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635270837768755 0.905415454284885 0.718565111520134 3.34767828603663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.634619829000372 0.904389287407172 0.719232149989789 3.33731180313916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45076667290319 1.12084943673985 1.98404839286681 5.44742898744813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45074422317608 1.12084374322864 1.9840447689265 5.44758531441817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.4507258217813 1.12083590575138 1.98404570727167 5.44777383949402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.4506724172331 1.12081797154883 1.98403468164646 5.44822428569734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45046787375219 1.1207414052339 1.98407640086492 5.45039353269228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45019027751439 1.12059830397227 1.98397768258554 5.45247557314466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45084523015001 1.12082478531228 1.98415286614862 5.4478657651353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45092246954818 1.12081416510092 1.98414308745851 5.44861244254326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45107015119271 1.12074770923722 1.98437655767225 5.4500396493084 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45147481830387 1.12049662915148 1.98557956424207 5.45946007226659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45134076583976 1.12009103991667 1.98695058795471 5.47316072722489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676702911738432 0.754169414160752 0.322316405460938 0.686057356193779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676795752813287 0.754190871776659 0.322315241192712 0.68599557174744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676934751877567 0.754206404346163 0.32231916869058 0.685899760514279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.677167070578862 0.75421187922557 0.322317991423277 0.685731741688534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.678042639977458 0.754032428022531 0.322300531283665 0.684818679000609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.678889345455714 0.753791620845805 0.322292013456261 0.683939831845011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676636886724904 0.754113068308882 0.322355756695335 0.686154918563913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676542940621004 0.754030237409065 0.322389612451798 0.686241246653069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676320616988719 0.753810379905685 0.322496525153514 0.686360120657199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.67540837611803 0.752730314114242 0.322780815197475 0.686803234660933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.673562115880627 0.751467096325324 0.323121428592977 0.68763700248196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282763476629296 0.220217088674797 0.143899676994234 0.113175215695884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282752455153734 0.220148281239593 0.143956145912399 0.113154332834043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282743967101788 0.220088313284806 0.144023807209513 0.113141850182638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282734932330008 0.219942377358083 0.144143053960878 0.113067814796815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282629406921729 0.219367771719572 0.144642773319024 0.112907286415065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282552520013854 0.218759832684495 0.145219179897011 0.112749238657082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282467553647824 0.22037655225747 0.143785206955899 0.113223490294151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282158916893137 0.220555439957263 0.143665849018636 0.11331302423517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.281589355389989 0.220916088692214 0.143481354827286 0.113543771543583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.279641867991943 0.222132784591833 0.143222070482119 0.114427891650675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278239555444028 0.223292095479587 0.143613312902017 0.115765618188142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.268703640863009 0.160290238145546 0.124753662392688 0.0456813730579203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.268601195565577 0.160485093807428 0.124718010398457 0.045730468655685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.268512368868265 0.16065638132725 0.124686002435039 0.0457828766040546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.268298917465135 0.161044174930739 0.124614356692783 0.0458980706150477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.267297199620603 0.162389490456531 0.123952420556479 0.0462516871543838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.266607853887989 0.163740660950445 0.123699691079932 0.0466845316353517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.26886241753665 0.160457044882893 0.124771130122932 0.0457437724269676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269020946477659 0.160592551703122 0.124779904646746 0.0457937763179463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269352445591861 0.160864570756559 0.124802045519912 0.0459319252549608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.270278442208684 0.161731304474703 0.124287669395822 0.046615493381939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.271361486946073 0.162142464708177 0.123976518904704 0.0473202967536319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91814730566285 1.01117572080732 2.62958384645952 5.67822800725021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91822738251797 1.01116103494898 2.629604367298 5.67812891834936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91799728628018 1.01105259744364 2.62955198196817 5.6783895468471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.9172876740374 1.01087145857905 2.62937254608526 5.67998755822749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91564486334316 1.01112996504259 2.62904720630696 5.68941185043191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91527149452937 1.01138330860914 2.62910854980701 5.69457386125728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91531766089044 1.01115226398282 2.62938981592906 5.68692067531876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91311544393971 1.01140707933842 2.62964855372411 5.69487218885375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91352606709499 1.0115212652801 2.63018043489608 5.69410462699692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.9117714309946 1.01268665752353 2.63148381274336 5.7113649718086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90802639395551 1.01496039173362 2.6325411230053 5.7450261323314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166881205219561 0.21194681731727 0.073110585380135 0.0541230591370019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166906712381281 0.211959053350416 0.0731453213737156 0.054097524950493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166944951437446 0.212003767844564 0.0731808625776373 0.0540787304761361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.167024823485822 0.212062239643547 0.0732614736516237 0.0540271917446653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.167315961550854 0.212283589832485 0.073580926950069 0.0538357012151028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.167627512980386 0.212456693300956 0.0739439986804517 0.0536379695774763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166732017836508 0.211862844299836 0.0730084794429261 0.0541082408480843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166560404277672 0.211766945588958 0.0728912495676779 0.0540953715049574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.1662140315457 0.211585261129265 0.0726511560328464 0.0540673644926474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.164916931100305 0.210954234531032 0.0717976630885999 0.0539130732779484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.163733562114771 0.210394598283675 0.0711000695645177 0.0536932157889008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.797576803850099 0.849952110119275 0.230842213312625 1.1199920143276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.799473682732687 0.851533969375695 0.229906446737433 1.12193610831022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.800000169384287 0.851635383705069 0.229670983577271 1.12103168177776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.801544023333578 0.852091769399853 0.228988468073513 1.11998132865988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.804092761249378 0.85219193374827 0.227800132390064 1.11135012354067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.805383731966136 0.852193848058946 0.226393730989218 1.10444517089857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.794918502644481 0.849765561092136 0.231121193503461 1.12170566419561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.792873438012704 0.851001245207464 0.230752974175983 1.12660991850864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.787974727082009 0.852356521047685 0.229984996821542 1.13494001263267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.752335615857993 0.849492443524352 0.232454048744975 1.16225581914473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.719405028473075 0.844916659874605 0.234460081405596 1.19604322691442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04673568168941 1.85408957215267 2.23870008882145 11.2528710428944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04782296088641 1.8537242472247 2.2425430452589 11.2243310184526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04797739994413 1.85351312140068 2.24244547053578 11.2170148216367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04784081031441 1.85386765741042 2.24293552143317 11.2216559082399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04899436357757 1.85268917693681 2.24409443495997 11.1853321296414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05028425940129 1.85197867594732 2.24650523635104 11.168516818196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04687201881193 1.85430980593169 2.23792957268403 11.2485662398622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04689873418269 1.85470349718166 2.23657333826824 11.2495971479929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04659665627116 1.85590417037524 2.23483048725782 11.2762958540748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04898326236017 1.85685219114039 2.23261699117109 11.2660140271144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04906147237646 1.8571395377639 2.22101174555892 11.3224072288981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46420922426947 8.78776006696107 24.3560239898411 0.430869045506722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46425628044924 8.78773926920826 24.3569445140881 0.430820358758302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46438650235935 8.78795572426445 24.359507270815 0.43078351122597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46459587595486 8.78800167932062 24.3636230771565 0.430685980446809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46785910910093 8.77265842370264 24.4275542480298 0.427948344929114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46860277202228 8.76930691527569 24.4421327688979 0.427306019936924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.4641596652807 8.79117592089366 24.3551209189264 0.431268722953575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46467519898857 8.79330538718579 24.3653264112647 0.431489414667778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.4635388169661 8.80908505291613 24.3433246347393 0.433915124526373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46438562033689 8.82337260628692 24.3604350048355 0.436874630494802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46660369898857 8.84784373830938 24.404839916371 0.441287841063102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59167031565679 0.719171560886574 0.0592081586542825 0.513943229227172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.5923882391758 0.719743803664435 0.0590715785919761 0.513739515972205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59307062688579 0.720277521613153 0.0589041247474612 0.513558011183423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.5942116096889 0.721500638615152 0.0586106222915228 0.513125151193726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59920363089968 0.72540724192235 0.057574456190099 0.511800600768932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.60329301048431 0.728881965598213 0.056646137072096 0.510791703742623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59131579134202 0.722231617816304 0.0587822364846219 0.513386433641125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59068399501811 0.724994157147041 0.0582868469363795 0.512844025752663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.58955908090878 0.729186824526661 0.0573878001548069 0.512420724812141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.58495583014764 0.742998380126401 0.0548423029462061 0.510724377925692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.57262737047052 0.754270150291076 0.0532777541134817 0.507313890278977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410003645758678 1.85748306560308 0.793910301099605 16.2060948829511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409806026411042 1.85752838339712 0.79377621487636 16.2068547444681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409619280635611 1.85757741196714 0.793655751765798 16.2076339256551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409147998083391 1.85758359124019 0.79335917163453 16.2080014277158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.408142015386505 1.85819923839443 0.792277849790661 16.217751765208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.406661244927668 1.85883031229608 0.791164855446076 16.2282732973448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.408635792382108 1.85867500148674 0.792775930776465 16.2252767009783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.407539650999834 1.85982109494161 0.791664054673259 16.2435719287251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.405259029391302 1.8620931933902 0.789685443994735 16.2800171942121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.398642259147472 1.8705683073892 0.782748075002064 16.4160859705941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.39519420482094 1.87887088418454 0.777237063241907 16.5495003647264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.617588675832937 0.892356913209263 0.408400085334207 1.23806596679053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.617407199291099 0.892172194969299 0.408337280680463 1.23733519300051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.617269440770685 0.891971007543278 0.40830608784743 1.23649129877077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.616931841374872 0.891556373518876 0.408231968696429 1.23478311854588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.615766148353082 0.891190896288926 0.407994361880343 1.23171047919686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.613653598119025 0.889092085271639 0.407220923150959 1.22295113516655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.617077610243523 0.8921683636064 0.408286834165222 1.23784383409553 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.616536489591364 0.891807887571657 0.408302416694465 1.23735274483479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.615262287085838 0.890864783153466 0.408492993453074 1.23598595725333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.611229771366899 0.886862920702987 0.411407520035795 1.22803311989045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605744380210559 0.879831029830941 0.41227256957742 1.21562898372176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.67563049786854 1.27391115430628 0.740264180611538 9.78790084378713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675678071207727 1.27437685907096 0.740520506986832 9.79370318627566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675744448741886 1.27459970999016 0.740693595698214 9.79636220856134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676209250923556 1.27702518707409 0.742429031870729 9.82846249670776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676720663264132 1.27893046696477 0.744085197897856 9.85169941379413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676721923160261 1.27920664140723 0.744225667189918 9.85208904237353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.67543843850952 1.27481547577822 0.740152866265678 9.80070409368899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675029816048949 1.27552726975111 0.739574698896734 9.81020119966328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.674852429534757 1.27735767972874 0.73986655291486 9.83689697555327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.673785009680003 1.28037082896942 0.738330383100215 9.88218204994324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.672540041309304 1.28303306092112 0.734750267562097 9.92402217206243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10111025187587 0.989276377814501 1.50896949958088 2.64477134475355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10097225936531 0.989323932885069 1.50865721242149 2.64537853340898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10064723338425 0.989287689991396 1.50791941994026 2.64600977835365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10039872573383 0.989299359814997 1.50725866042677 2.64592558352506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.09952645492315 0.989449888715859 1.50494504248452 2.64597840584437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.09801718398246 0.989647390386746 1.50168493855345 2.64887834171566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10057115792247 0.989514910241198 1.50823760825345 2.64372581324067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10026174881134 0.989699567473564 1.50849875238254 2.64558859732678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.09657389635755 0.989515449744125 1.50295702296237 2.65930963479454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0943823745466 0.991825085547012 1.50716474578458 2.68169655340146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0925298270169 0.995073930309121 1.51394702393625 2.71848539397736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79509722992459 1.34884919301468 3.22229161537999 7.79303721341197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79491057879511 1.34884932147389 3.22221577593816 7.79334970738164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79470529246092 1.34869139720334 3.22201444956216 7.79377643292665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79440397198598 1.34869500717973 3.22193652499568 7.79445700341653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79292989233853 1.34903223709028 3.22162742262707 7.79895956281906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79132103423108 1.34908614860507 3.2209244434341 7.80366267515371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79482576366524 1.3488639277874 3.22161834806243 7.79251415939622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79459742593971 1.34882002823583 3.22101362599136 7.79218899192021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79408142383988 1.34862392103456 3.22001126352405 7.79087248509803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79273929705672 1.34687886630874 3.21609500966329 7.79839997079726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.78959326916395 1.34701411689572 3.21407026120766 7.8074525286519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.594218654825828 0.732297969147291 0.0476010958620268 0.827976493035401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.594646994282697 0.732265946783073 0.0474816619518052 0.82752895851528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.594986382461611 0.732282120105757 0.0473850262419767 0.827211693554388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.596298594921675 0.732319976773692 0.0470416225932317 0.825892176973823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.600716602908895 0.73221911265815 0.0456335119503202 0.821168925234597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.604263277829024 0.732001719249712 0.0442109967753638 0.81751526020985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.594473991886531 0.732167924542089 0.0475473134239798 0.827565505510068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.594133840129341 0.732067093277572 0.0476521373046514 0.827977445177333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.595208966327426 0.731687783395507 0.0471188520376074 0.826153614680966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.598821773440521 0.729506165088204 0.0445909281765341 0.823844199952937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.603613328640522 0.724849100054218 0.0416984330939098 0.822421605568073 NURBSSource NURBSSource 18 180 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651622733354616 0.348754856583679 0.590217266852014 0.295101912204899 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651397853526289 0.348881185625167 0.589925511922895 0.295030629775129 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651158013755188 0.349005141276097 0.589580655958783 0.295004110801821 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.65065516683101 0.349281420246054 0.589027280227147 0.294831965869141 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.650420542106708 0.349656903955349 0.587914140964901 0.294080449419233 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.648654512106709 0.350525857514833 0.585189515627676 0.293921270653972 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651165149663629 0.348533811187369 0.590290527010593 0.2946981909847 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.650856365686518 0.348265173133006 0.590280712065494 0.294427360631992 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.650234234810992 0.348394016338112 0.589656116081924 0.295453208304678 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.646768358972249 0.346371398983807 0.588608256341494 0.293885676181443 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643362428280439 0.344115698762148 0.586691267532978 0.292259915569826 NURBSSource NURBSSource 18 181 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280410957315391 0.310473142436104 0.364563784769174 0.154102618854125 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280260606740678 0.310387272704304 0.364209689396972 0.154028792513492 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280081502966079 0.310358925472034 0.363798194502684 0.153993257898075 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.279808165695926 0.308579806279361 0.363982690289869 0.152470128980774 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278957836616169 0.308106491500091 0.361934943316755 0.152042854539004 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.278398208977014 0.30757330915844 0.360573431437583 0.151564800713572 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280335063999501 0.309175258805367 0.364406107839172 0.153239213528957 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280410640954147 0.307988323812918 0.364603748702116 0.152462329943718 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.279828594684486 0.30611978647287 0.363307814183278 0.151311403748432 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.279276736501665 0.298708105652142 0.361868283599281 0.146342652896244 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.283047591940822 0.29613630441556 0.371562818032566 0.145825613663712 NURBSSource NURBSSource 18 182 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.253629347597778 0.492807305229644 0.215002246130838 0.799158679144225 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.253625676811277 0.493107352936067 0.21407549333413 0.79965103091799 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.253670537361736 0.493435141926892 0.213156562483777 0.800136358076969 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.253757859542149 0.494079688715883 0.211549928085239 0.801384602512064 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.254093415383229 0.496586036270011 0.204803951568604 0.805595790877117 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.254851600430641 0.498979792762413 0.198390480808956 0.808963296888886 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.2529250258576 0.493100100396544 0.214476658424979 0.801189415621414 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252789345376711 0.492690748787211 0.215271248005549 0.801049770928706 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252819643914649 0.492236233512087 0.217371506013876 0.801797552895437 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.250862506924599 0.487600880175403 0.224895661489034 0.796478077018118 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.244198971316916 0.484580000536545 0.219492239689798 0.783338203650236 NURBSSource NURBSSource 18 183 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220678770557745 0.364855877256229 0.179398960893499 0.162573679709518 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22067449114598 0.364914327790988 0.17932977611152 0.162674352636847 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220671241145981 0.364953675384571 0.179273442877689 0.162761943025269 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22066363285721 0.365163135277619 0.179146139511138 0.162988993569453 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22056058803912 0.365487079328198 0.178630834607805 0.163755502218055 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220248060055678 0.365605400402762 0.177950740184102 0.164348607715197 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220645865477531 0.365535103192058 0.178961719910428 0.162736367254933 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22056611681443 0.366110940090453 0.178454363021398 0.162861198002635 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220392471120748 0.367076703996744 0.177492927546943 0.163069222295673 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219685181823003 0.369522644851524 0.173978180206017 0.164146406402528 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.219147528535907 0.371316122907813 0.171208346598234 0.164884308000822 NURBSSource NURBSSource 18 184 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220820828880115 0.186462518352158 0.0980968457513852 0.0265250472457349 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220798065966208 0.186316275968052 0.098120660194445 0.026507404381231 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220739606363559 0.186175172656794 0.0981710386302623 0.0264865108856304 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220633403714552 0.185732517027655 0.09822702832046 0.0264247850424313 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.220285434308338 0.184012477839169 0.0984333103756471 0.0261792862680772 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.21988091112953 0.182564241447029 0.0986019940613763 0.0259657525931794 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.222148807873428 0.187520616940225 0.100803004196889 0.0276671563206721 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.222191434857555 0.187732880167738 0.100917860312545 0.027712830430446 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22264747329985 0.188333391514517 0.101151675082573 0.0278017071440415 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.223303352770049 0.190424681623616 0.101977697667897 0.0280189735278733 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.2224064563991 0.191385410613394 0.100690807106521 0.0271455530843295 NURBSSource NURBSSource 18 185 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.39120637459793 0.331105591784515 0.121168018015491 0.179491163886209 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391319122398517 0.331046071195569 0.121245245637589 0.179258481880874 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391882104751973 0.330859189104476 0.121250771468014 0.17879921930645 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.392059204312734 0.330637452647668 0.121343448669796 0.17846655917962 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.393039599601914 0.329570583649958 0.121671574377967 0.176983513701633 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.393835502969411 0.330636688330444 0.122169552103385 0.175539574597184 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.392079262877888 0.331078916776512 0.121217981363128 0.178546886316066 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.392603204312734 0.330958383833613 0.121284537689966 0.177836491642365 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.393553262877888 0.331468688372412 0.121474258103469 0.17685699840652 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397818574403301 0.322917705871487 0.121687930624302 0.169450911373138 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.400772541196691 0.317992941931724 0.123178577072003 0.161594255304225 NURBSSource NURBSSource 18 186 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.450790408473065 0.425307569413014 0.224100413744529 0.514186107692576 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.450930574203403 0.425357968289418 0.223973941472781 0.514252964124652 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.451104374765201 0.425387673345598 0.223848780028658 0.514300590375562 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.451427300326998 0.425441485143351 0.223597793692173 0.514352190070412 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45048470855729 0.422607466297936 0.220542059476439 0.512523584464232 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45158695868198 0.42258661292256 0.219638660021685 0.512549404858404 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.450687867742728 0.425259472502901 0.224175791168128 0.514265101229028 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449693452832994 0.422164216719058 0.224304320778393 0.509339408761964 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449151873511229 0.420447969362817 0.224579209376392 0.506879636828806 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.447514089868967 0.418437357856701 0.222667007818131 0.503705095906153 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444308063842136 0.416414165823222 0.221432491224935 0.499296170989441 NURBSSource NURBSSource 18 187 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.465937569020851 0.778202053260389 1.07884541752173 2.55568927240944 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466059494535906 0.778003065938678 1.07931502266068 2.55438230926638 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466176773458252 0.777892042166886 1.07972553200629 2.553665363449 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466378342396445 0.777700275130436 1.08046600828194 2.55241297600359 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467341323379013 0.777433544544065 1.08411401698764 2.55046937945093 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.468108489379881 0.777016656330346 1.08680748867235 2.54754924791608 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.465704552867573 0.77846658257893 1.0780033457916 2.55694568790567 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.465437746650877 0.778961569900642 1.07698645889029 2.559693011986 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.46475733142515 0.7807101087279 1.07441508209528 2.57007206974493 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.461668434330481 0.785264127274772 1.0622134426045 2.59599380133207 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.451353075537329 0.777884083987537 1.01777830855678 2.54424460509811 NURBSSource NURBSSource 18 188 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.310296400904567 0.678581747787945 0.421831320148846 1.98596658894623 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309329872984721 0.676061517199338 0.419390590361351 1.97045157838304 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308707642494702 0.675510386527832 0.417800927539619 1.96736234629466 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30718063268439 0.67449175131912 0.413905596792473 1.9616457289374 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.3020887259805 0.670313366613451 0.400971679590014 1.93841807778161 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.297290908966406 0.666634606571578 0.388876174710257 1.91805453071975 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309462228701599 0.675289342970664 0.419689370498837 1.96611672623738 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309366528157134 0.673666615202969 0.419416498624858 1.95703724205657 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.308486119690556 0.670657141353713 0.417073360749907 1.93990776117767 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.304326305789875 0.653563694187333 0.406098272209577 1.84378200732649 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.299024184491725 0.638329070449237 0.392775278874988 1.76102078637123 NURBSSource NURBSSource 18 189 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.28072801888747 0.54917780390225 0.359821825414127 0.808011020726594 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280841947551543 0.549198263175434 0.360093013249575 0.808141736170604 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280983380755174 0.549167529782777 0.360433267214137 0.808187990470049 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.281122641455563 0.549061989363441 0.360735925905057 0.808130182310791 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.281808276780378 0.548779079938703 0.362296135820765 0.80802130700971 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282659068483114 0.548527731093916 0.364271381458133 0.807782920957388 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280966010490597 0.550644430110875 0.36026346878562 0.813868807646632 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280722869957666 0.550654367634037 0.359512017309983 0.81374981016348 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.280222161398865 0.55077098710845 0.357972048319241 0.813407003224728 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.277600836420333 0.550559951028974 0.3498654514702 0.810803173301296 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269512506921854 0.551538383614503 0.326499771667278 0.798585923885086 NURBSSource NURBSSource 19 190 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.625782510412985 0.328916571475874 0.580762058885985 0.288085920199055 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.625166137653343 0.328618807568139 0.579740717434988 0.288135425202517 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.624426466011552 0.328320939182793 0.578725265332296 0.288147390704294 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.623135592198797 0.327800042567307 0.576578003305384 0.288268427283749 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.618450718937784 0.324491542803161 0.568126696412261 0.284970410941426 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.612771540948655 0.322584294293698 0.558473372782297 0.285603337221204 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.625075197354836 0.328308751543196 0.579887004035355 0.287527992552555 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.62447418107261 0.327750188449573 0.578943499254324 0.287038285358144 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.623494805319111 0.325003430589432 0.57750996901201 0.280850031766423 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.616682849947655 0.32024270716151 0.570402013125855 0.277160072597434 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.607195142509357 0.316025210657961 0.557546938459513 0.274458245757433 NURBSSource NURBSSource 19 191 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440320876299695 0.36576180563132 0.830087889466626 0.20014585009611 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440088166423152 0.365632976413213 0.829268980753399 0.199998070593762 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439897767246197 0.365465988758892 0.828576012356315 0.199856929585641 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439597125270888 0.365101887935846 0.82745623019944 0.199544736228222 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.438383740497226 0.363799318756261 0.822931155896222 0.198397367857704 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.462754350507992 0.35773792498094 0.908925615296359 0.193364798581702 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.44084864584702 0.365451551820323 0.831963947291437 0.199860376060706 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441678224254567 0.365437935412035 0.834993609423249 0.199382380555148 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444031651058691 0.36462366129628 0.843254352923526 0.198684234233848 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.448188375798268 0.362177593686119 0.856590727626444 0.197204459094379 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45779633351457 0.358764314426229 0.890405125579666 0.194606079767877 NURBSSource NURBSSource 19 192 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384419822199601 0.617244199508435 0.66720438811319 0.994507226870612 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384482504923854 0.617056133063253 0.66781781456388 0.99380565292882 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384571116219535 0.616911961966908 0.668438631970334 0.993221498557134 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384793581335814 0.616616430562055 0.669840338142159 0.991993271541575 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.385842027714804 0.615634696091323 0.675944753201112 0.987554199948051 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387107907814094 0.614647230240974 0.682702713024237 0.983425536768206 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384188004923854 0.617013672930362 0.666052452897837 0.995195644081826 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383999923528505 0.616850662610908 0.665075646986393 0.996113807152744 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383416578941351 0.616457173777345 0.661834972896197 0.998278687788874 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382044281404896 0.614102343101481 0.652578321892097 1.00022837175987 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382922148216758 0.611268794221332 0.654327066856304 0.999823109036369 NURBSSource NURBSSource 19 193 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251480018899628 0.339304449392181 0.275421659753417 0.174389751454 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251511352734363 0.339360082456697 0.275457241265001 0.174459234499908 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251572199508557 0.339419919822288 0.275572719249632 0.174517593028488 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251639418594579 0.339501896972826 0.275642783379882 0.174662290025755 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252019931930795 0.340005399660998 0.276246610198567 0.175275398588298 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252353036798543 0.340627134906397 0.276738228849684 0.175970357237123 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251186801633154 0.339527658433034 0.274895599058082 0.174359019092343 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.250915104052509 0.339547059478612 0.274483787976358 0.174224933248796 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.250471598949342 0.338561358436214 0.273879770309121 0.173265924944256 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251232344765606 0.339015633626471 0.276337243278931 0.17061852874243 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.248812584416932 0.33656054149396 0.272346680150906 0.166002275647856 NURBSSource NURBSSource 19 194 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.229198084230042 0.134763184416551 0.10369251492113 0.0231314742912728 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.228952951877101 0.134885054737406 0.103604646534528 0.02308807904064 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.228587176078609 0.135024018263728 0.103361097296551 0.0230175560842981 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.228077648708783 0.135190393683118 0.103192670204851 0.0229245856195642 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.226954564885966 0.135799994922445 0.104593144266998 0.0227370034065684 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.224851111915347 0.136147404318743 0.10384339407966 0.0223855464979346 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.229825506631292 0.135122863066044 0.104074915716839 0.02324521997786 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.230527473554485 0.135668931901338 0.104530603584736 0.0234663563228708 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.230182767124724 0.135513613674604 0.103991704251386 0.0233151484068599 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.227617544286001 0.135029193802909 0.0993403800806972 0.0225630187978592 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.226489914786908 0.13544544016085 0.0972758443720926 0.0218569437645807 NURBSSource NURBSSource 19 195 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386081837331 0.357712787032613 0.0905359276222348 0.18085462331854 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386060937418946 0.357214010886213 0.0910904608482456 0.180674481090004 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.38617325566129 0.357078990912845 0.0910975861204701 0.180482774378132 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386347311586722 0.356797302844272 0.0910959397574339 0.180146713406103 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387411579786669 0.355228903225806 0.0911309608626116 0.178851072204194 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388141272276628 0.352994227625639 0.090988914153568 0.177425726085031 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.385136613331 0.35647696969928 0.0903590847777963 0.180017256477565 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384081579997667 0.35549129714856 0.0901992988193719 0.179259840627078 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381811220400032 0.353849808061524 0.089847726404366 0.177892132912161 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.372196603877045 0.341988531609539 0.0864843215430072 0.171106456408228 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.36140447439114 0.333800723059527 0.0837961074437127 0.167245233482291 NURBSSource NURBSSource 19 196 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409830193687022 0.407447283493954 0.230290376037757 0.449026661241461 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409761763968146 0.407234176398908 0.230362088965038 0.448262899488992 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409665429975021 0.407040847081638 0.230429650162767 0.447603077597619 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409553503602866 0.406656631367958 0.230558239493372 0.44611258834225 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.409001520856081 0.404882407327714 0.231214906288886 0.439446606320781 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.408454406380479 0.403329462998983 0.231900439872706 0.433063595214335 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410141561166453 0.407150596746966 0.229828300004183 0.447491769307462 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410388810012708 0.406851862523588 0.229371339737087 0.446029598473596 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411013986719535 0.40627683365853 0.22851020006078 0.443050775431337 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.413206011060929 0.404166837174607 0.225300633854847 0.43146468522702 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.41631706083514 0.402364494844292 0.223412655101675 0.420856917240689 NURBSSource NURBSSource 19 197 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.351317787731883 0.698852119538276 0.636844747899519 2.02418986333036 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.351177743963993 0.69862908488277 0.63624343757677 2.02281106282503 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.351225859906022 0.698486653320773 0.636385462177332 2.0219893945803 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.351343721243513 0.698167266847343 0.636760754940754 2.02013606487695 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.351308382369262 0.6965844211584 0.636950725511614 2.01102288265795 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347491044475709 0.703311490588924 0.622122209802052 2.05338486708363 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.352101294564274 0.696116042118921 0.639314434358385 2.00802835857188 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.352702719633206 0.693481772483413 0.641016826133926 1.9924720167095 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.353908297733046 0.68846982007356 0.644703063459805 1.96318390446294 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.358977574032199 0.67286965460862 0.660110694290015 1.87397316615862 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363391969705888 0.656279792213282 0.673903690307962 1.78167466355386 NURBSSource NURBSSource 19 198 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.438836890529554 0.619066072810793 0.818175029326645 1.61994807194502 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440047870383034 0.619016644239365 0.822576085304834 1.61969911294876 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441098626793289 0.61899494094266 0.826417496581896 1.6195764971223 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442963634119298 0.618947876840097 0.833284284758674 1.61932314793036 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449670488532904 0.617713004532503 0.858283898038913 1.61260814636045 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.454903768684064 0.616663279083311 0.877974146374252 1.60694785791769 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.443976650842047 0.619990384749011 0.83706101103858 1.62485603228101 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.448602849007185 0.621312540712314 0.854236027006782 1.6316502528109 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.457745685998585 0.622898750742155 0.888703903547916 1.63950741419075 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.494185551322572 0.635846905723499 1.03212031784006 1.70752404796099 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520562918398586 0.654196551449589 1.14179491176856 1.80809394713097 NURBSSource NURBSSource 19 199 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502653019078593 0.603669544117636 1.07828237494146 0.911289069609781 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502840674979214 0.603832756539996 1.07903739525823 0.911557066484709 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.503116988022692 0.603970638527573 1.08014183065324 0.911783928148361 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.50367545758791 0.604242766477884 1.08238351410578 0.912181556583042 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.505884414109649 0.605397944514896 1.09124914104949 0.914103306525108 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.50793126379909 0.606637644167388 1.09943849324563 0.915698004228569 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489108983053748 0.607683571599182 1.02965138802644 0.909742773906176 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489779020320829 0.607529480915952 1.0321919444411 0.909675792686232 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.49067570727735 0.606909426169876 1.03544517146014 0.909012733738723 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.491740553387661 0.601890874635154 1.03850753430559 0.899359719851369 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.491283032803337 0.595951593432098 1.03517397423541 0.885643872033851 NURBSSource NURBSSource 20 200 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.60201954738597 0.325577584304838 0.546716482810935 0.276708035298836 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.601929056831834 0.325589468866729 0.546557027688848 0.276764818436095 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.601867077694143 0.325614479993294 0.546361819994805 0.276832074958635 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.601710486595394 0.325586075264504 0.545906950855794 0.276994973343555 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.601236458312724 0.324127161395923 0.544691458681997 0.2743794997548 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.598848826544819 0.324047559938158 0.537256886748316 0.274767609293934 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.600359166706661 0.325177653845867 0.544279520088604 0.2763881478429 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.599022296052975 0.324796042061577 0.541687082479536 0.276132863547188 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.598425134345309 0.323654969049779 0.540203557798277 0.275158813900075 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.586925399323049 0.319828295200521 0.515123660376361 0.272365974192573 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.576774517635802 0.317092118823705 0.494688790405898 0.272540887516511 NURBSSource NURBSSource 20 201 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458320741092087 0.352772936405727 0.89097187656344 0.190093983017455 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458592692772759 0.352916467918333 0.891970282199879 0.190228224501637 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458723207478641 0.35308233136371 0.89245406062246 0.190375985339691 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459114165461835 0.35338020531329 0.89388951503475 0.190649703698589 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459003306688079 0.355128329047042 0.892246314160716 0.19165012248201 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.461476348704886 0.356304089551243 0.901320841444014 0.19276057650138 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45816263605007 0.353253659094803 0.890241082625626 0.190548180173586 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.457512434369398 0.353930583954107 0.887720808864021 0.191216599902495 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.457061776806372 0.35498084865999 0.885640930276474 0.192326029470731 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.459699181507872 0.356956363453869 0.892289358759468 0.195832903588238 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45446130357378 0.360366692024015 0.871068373009882 0.200812387047776 NURBSSource NURBSSource 20 202 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374672783713692 0.613987851937196 0.633738766410141 1.00726459085395 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374662202632612 0.613876377275035 0.633385344923133 1.00672045000247 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374637574254233 0.613788740450709 0.632987916856507 1.00622980701418 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374545593423672 0.613497620518277 0.632167820352703 1.00499421045847 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374447829620651 0.612432244902147 0.629783442103834 1.00024502875076 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374456528622609 0.611274390172417 0.628113423030384 0.99517186951175 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.375938431800383 0.614161515788548 0.638968543418379 1.00739493092339 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.377258460968862 0.614306978947151 0.644334146727246 1.0073648019395 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.377811209214897 0.61440269366305 0.64708651658646 1.00725488024105 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387438133025462 0.617382916035866 0.689891025668597 1.01412252189566 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.3985013773729 0.618587182467097 0.741965046982665 1.01387501903346 NURBSSource NURBSSource 20 203 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.24978067576463 0.325585836007961 0.271652450602773 0.159601427376103 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.249942822515339 0.325667214090153 0.272049582414535 0.159660461713217 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.250219249946911 0.32487251983967 0.272694884101099 0.159310868725427 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.250528223883811 0.325020508865734 0.27345731762699 0.159448928883701 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251667680673934 0.325666488031544 0.27624592548174 0.160005316530167 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252773541569537 0.326360659499308 0.278962816963176 0.160593955919467 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.249696059326274 0.326438258974907 0.271339142906948 0.160258353848577 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.249659805901617 0.327369811029701 0.271134519291701 0.160971827279895 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.249784494368528 0.329494805237061 0.271043851760244 0.162621916934413 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.249905733715498 0.338905679858032 0.270510224925436 0.169955725232167 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.251772434441073 0.350465230290706 0.27492456784525 0.182427846582324 NURBSSource NURBSSource 20 204 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.218627086718614 0.117808065918776 0.0920529592815698 0.0191813079451762 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.218487214319168 0.117766458429178 0.0920444020288385 0.0191919007484739 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.218325427911401 0.117724022500984 0.0920214819055347 0.0192017011938516 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.21798014894566 0.11762434583485 0.0919835714986619 0.0192212242524119 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.216873802379132 0.116905099825864 0.0917759675087321 0.0192133576224979 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.215721415963814 0.116726368719729 0.0916807359950379 0.0193631173637765 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.218273308319115 0.118629237877881 0.0912368866980716 0.0192848181570109 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.217855751604106 0.119807170614345 0.090430650126921 0.0194971918356943 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.215668273078269 0.121871949342569 0.0861330057017952 0.0195768797483807 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.211972074596465 0.132319164386303 0.0790908891259641 0.021846759952086 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207272713096933 0.144412142334681 0.0723672523719178 0.0242168902500015 NURBSSource NURBSSource 20 205 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383838975627288 0.353870535126891 0.0867500573227812 0.176510096186627 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383834039572866 0.353792068460225 0.0867370874988541 0.17649781977015 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383761505009307 0.353786805875191 0.0867260882558775 0.176503794968747 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383639383920871 0.353712533766347 0.0866974482020476 0.176497325144151 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382051683978272 0.352361901666929 0.085848890869591 0.17605220120911 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.381529988690692 0.352054623737774 0.0857640324987322 0.176159729933961 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.385110608280349 0.354917258075599 0.0870319840646433 0.176393057839134 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386176853440534 0.356052249596324 0.0873049559136476 0.176345848974744 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388436088814683 0.358462739193884 0.0879004528073653 0.17632382292659 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.395288319177442 0.368457693126597 0.0903337253106458 0.178352999274844 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.400641883343753 0.38255738071698 0.0925152885198296 0.183198100396921 NURBSSource NURBSSource 20 206 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414794134239845 0.393235622797123 0.227205379136232 0.431732495082159 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414714698843031 0.393077802406774 0.227575770058435 0.431256906067258 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414625651575913 0.392911171325692 0.2279548105581 0.430757666964863 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414526105599788 0.392528504129852 0.228704939032613 0.42970989180358 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414023106012262 0.391060307585976 0.231785364939646 0.425766211146246 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.413580263715727 0.3896913319103 0.235132562616696 0.422160624529992 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.41557870465899 0.394052451626227 0.228297441277988 0.433833967984832 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.415247637936804 0.394707083957579 0.228297123059465 0.435409017173977 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414419468867087 0.396057619275142 0.228225563690155 0.438745781105963 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411600115717313 0.401980830096287 0.228653304889355 0.45452838665783 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.407854681680229 0.40840032161263 0.229126442838587 0.474953200929145 NURBSSource NURBSSource 20 207 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.314463921967752 0.690413169009519 0.511686680578388 1.97806762655439 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.314453546532083 0.690370323238375 0.511734630853934 1.97780168269677 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.314462208223626 0.690267086033069 0.511837611306844 1.97719040976302 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.314491563355794 0.690090970245572 0.512066311551879 1.97613051919596 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.312057471726939 0.688873876436371 0.503770556224278 1.96936475801686 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.312065182166302 0.688226317368152 0.504265757198476 1.96581946355639 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.314498611851666 0.687275078097644 0.511706230685244 1.95974968018022 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.316654607067474 0.684840497874394 0.519619919358711 1.94553897506807 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.316773489433941 0.678660529027258 0.519816146884267 1.90987462513022 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.317663800008518 0.656017122562635 0.521221331188837 1.7828445060969 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321083054058773 0.63932608785429 0.529660608287301 1.69429077237195 NURBSSource NURBSSource 20 208 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426084020790218 0.612746274267906 0.770701967626978 1.58675894607051 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.425815261320522 0.613188469343663 0.769767027403194 1.58899727715541 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.425538554216548 0.613640554570935 0.768810243001666 1.59128577597154 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.424613995504427 0.614810711767904 0.765624547057095 1.59722131723767 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.421723771622536 0.618859948510329 0.755702018464145 1.61786895176769 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.418692409932212 0.623653461496671 0.745328318731419 1.64290466719923 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427846431775067 0.613862081086088 0.776878313097032 1.59259673179384 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429171539058861 0.614191419550872 0.78152232241543 1.59444623723786 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.432590022929828 0.616748857881041 0.793640837011081 1.60786784109347 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449374759410169 0.630617444137571 0.854545534178683 1.68234876991247 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.460416624168403 0.648382487144884 0.894984023498386 1.77686836871497 NURBSSource NURBSSource 20 209 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488379306854706 0.578966497846073 1.0240125142569 0.841236712354091 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488552520872227 0.578847576694633 1.02474211180544 0.840898409588986 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48877076868199 0.578798969685873 1.02562819862573 0.840646072209916 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489013141648198 0.578613424789199 1.02663561233454 0.840121304388054 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.490079131712724 0.575519325867091 1.03110550583595 0.83282468849098 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.491628219432022 0.574915338173662 1.03734204085701 0.830694283091914 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488540529633179 0.578824427758463 1.02466559593302 0.84110512751545 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488909273062466 0.578699258403592 1.02610501406959 0.841036413209839 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489737487079987 0.578382014200967 1.02931831239398 0.840722483328525 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.492286154163842 0.576585059834493 1.03911232601019 0.83919177724702 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.456055728569386 0.57504971962104 0.901074555562248 0.841087266211371 NURBSSource NURBSSource 21 210 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651393103427803 0.351204589961218 0.763207476001029 0.564037176273243 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651125254790274 0.351128438168637 0.765191825893714 0.56491765334894 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651178855496175 0.351096059443518 0.768235855348528 0.565961639187257 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.650110376911808 0.35116883209163 0.771059035869168 0.567174160076442 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.64869391543498 0.350579815286084 0.7761192403748 0.56552438360045 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.64817890035257 0.34844073390818 0.77772041743351 0.555328108909911 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.651103268315304 0.349037372323389 0.767219253124005 0.556983920926977 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652162144291134 0.346972185335952 0.770483553314256 0.550594490082193 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.65193954035886 0.342543548380578 0.767962380408335 0.537846094278769 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.659311101114013 0.331952922234686 0.795558187247615 0.518528486389518 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.670811215761756 0.331880693952926 0.84292484417202 0.502733809745659 NURBSSource NURBSSource 21 211 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.38280404654963 0.474789859331399 0.659598714535125 0.446714268239053 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383802485100729 0.475718433023056 0.662508254619874 0.44824760133953 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388037431369468 0.47635170250716 0.674839995879537 0.449032121784707 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.389670768578771 0.477264757369758 0.679592469491639 0.450618269868829 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.392856253330328 0.474006189129551 0.690117352783926 0.449814631004566 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387173444163317 0.468801882360573 0.671861528631494 0.441706578472202 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386595375813913 0.488732653886225 0.670400050240435 0.46652830873527 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388164822247606 0.502498290889459 0.674780209463001 0.487255902759282 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.385222555495029 0.506223781460211 0.664557844826651 0.49323281818801 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.371978810751013 0.505726392821373 0.620766034246792 0.498313973945962 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.35199728198876 0.491587797593603 0.558407055499616 0.479047346821679 NURBSSource NURBSSource 21 212 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.39235677033505 0.6064663537871 0.45238401784375 1.21539775562375 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.392132437001717 0.606470049846924 0.450465055986355 1.21361964353092 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391954337087657 0.606502184904395 0.448675358746714 1.2120181773573 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391515295190948 0.606536172024982 0.444802288428226 1.20784830674691 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388606107559709 0.605268044710622 0.426399521379996 1.18565655617256 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384966859022184 0.604042188312171 0.407055544422723 1.16043076709755 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391949204243096 0.605838655505 0.455222524352495 1.21583494278333 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.39080596906273 0.604663124553329 0.457877401241771 1.21583881206633 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388971851799354 0.606286464489124 0.464981211269189 1.23896199884296 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388349087502851 0.606719979706459 0.46871773749349 1.24712127087923 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.383288444290242 0.598330151796975 0.491731135543263 1.24886653292294 NURBSSource NURBSSource 21 213 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207791774907272 0.360667265676964 0.163251308892066 0.175279390217507 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207768574656959 0.360751342827732 0.163258929556111 0.175391701616551 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207779997541388 0.360950989886556 0.163245534221428 0.175503957220851 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207727083209502 0.36130881967379 0.16311611876196 0.175814805602255 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207964239731903 0.364886679602295 0.16234754804118 0.177693141296353 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.209002948285842 0.371811250653686 0.161159283295448 0.18041699887295 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206890225273398 0.357103703164165 0.161824756677647 0.173643421038118 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206322975448268 0.354975578561291 0.161081100526801 0.172640439912687 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.20575014675402 0.350556994247595 0.160405435498912 0.171265842501166 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.203675898702146 0.327875532025098 0.155454606791193 0.160809556011462 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.20658665564393 0.325124540405769 0.152327884347578 0.159631029800206 NURBSSource NURBSSource 21 214 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.190982765230279 0.223773265882854 0.0861525544414884 0.0396222923326638 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.188789159396915 0.223301473410863 0.0853020909808362 0.0392624942908857 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.186472359396915 0.223161821948346 0.0844315815574864 0.0390214701526543 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.181888552778492 0.223735944773332 0.082777932959241 0.038821741335109 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.16658326802843 0.236719803745505 0.0736094084110709 0.0416570130955946 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.162676908324033 0.242531559394107 0.0708495131372789 0.0425206885573241 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.182776732774427 0.215819122865554 0.0834673267243753 0.0376862197217978 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.174970089044412 0.207654665292575 0.0809968176224845 0.0359958806224232 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.16683021220678 0.193454458287895 0.0781162668950801 0.0334835062076679 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.161481046329547 0.176046450538827 0.0711562466780235 0.0302349003657676 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.159207885941624 0.167966444178752 0.065035671235505 0.0275289948627499 NURBSSource NURBSSource 21 215 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446696360816774 0.364668567725122 0.140144322920546 0.17155410565531 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446321625662379 0.365262317131297 0.139961496469383 0.17167693139604 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.446577093594107 0.365323323906818 0.139833116012214 0.171863730796299 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445976438421693 0.366404435495756 0.139554701157362 0.172095157306482 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442202360818248 0.369977456119128 0.138800649826689 0.172859050848072 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444995634370221 0.370444025444098 0.135905427322264 0.173563791055548 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444248589432395 0.366019851138846 0.140416774085183 0.172001201659753 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439931446557455 0.36661361095863 0.139283488348664 0.171666236903558 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.435784591910879 0.368455310925105 0.139593301890118 0.17194117192623 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429983029025122 0.352656373745572 0.138599566548513 0.170413421164982 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427570497935998 0.357451398509101 0.136290140172844 0.174105653601215 NURBSSource NURBSSource 21 216 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.490872019294514 0.495682675081953 0.263227602138898 0.700440894463574 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.490037379654874 0.492313598330266 0.262634100353128 0.690657435240835 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.488794433653732 0.491157037197704 0.262532583762942 0.688075571564956 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.486233098849395 0.49049598364891 0.262596294119696 0.688595932931636 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.478597302803988 0.472170897067103 0.266776045814511 0.661731731388065 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.474549830743551 0.468531473291721 0.269894699135281 0.654989886423973 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.486496917621413 0.489035718900494 0.260012280621333 0.694142951620012 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.479113670333165 0.486124610761235 0.255617015523378 0.698940258533672 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.468443941890436 0.479980120751491 0.248400618131481 0.698865576913038 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.463083841899126 0.471596682739779 0.232593535576504 0.681940535294981 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458965543919855 0.472464536435333 0.223777898589844 0.683686898115466 NURBSSource NURBSSource 21 217 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.499848725501681 0.593453184665415 1.2838650247849 1.5066607293929 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.499451661081562 0.594097170229719 1.28243010956375 1.51008896458858 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.498964650582874 0.594782610862936 1.280645308576 1.51374342290753 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.49793834926616 0.595885389078158 1.27714005929182 1.51936550512713 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.512863440903719 0.593125091319498 1.34576365386528 1.51040502909424 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.513188161896016 0.589690460383579 1.35142547546438 1.49177348898389 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.500364762863423 0.596954105251768 1.28661235099839 1.52551277907907 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.500972002158734 0.600314483204523 1.28963584331258 1.54361567057176 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.503018394530099 0.605715451009761 1.29918961717765 1.57283386770197 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.509801491326227 0.615621504689184 1.33392013820724 1.62362736093389 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.512624325652839 0.619145941301765 1.34153538345552 1.63721795394001 NURBSSource NURBSSource 21 218 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.22686538743806 0.617661655531611 0.224581962686822 1.64701516917729 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.235008339120595 0.618421879120504 0.24171706290055 1.65035703914102 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.243384424150468 0.619130398408338 0.25949531477523 1.65356285039677 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.258934461798261 0.620833156700417 0.29293667552375 1.66167580041242 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.297054774585988 0.666980513727097 0.379934340823542 1.9110031134599 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.336826955402965 0.698030312798551 0.485130291685871 2.0942623858016 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.222139126148035 0.621455092649546 0.214923969268948 1.6664211536456 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.217858899627288 0.626146099745923 0.206205764207713 1.69098863362114 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205362794101153 0.634158113945645 0.180884078116573 1.73273021736576 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.185386180615851 0.653213264588638 0.126252365352534 1.83302814526967 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.178935182556304 0.669392471450157 0.104132856978476 1.92213309150338 NURBSSource NURBSSource 21 219 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.240181513176502 0.636892575015935 0.237703328991072 0.823136166708413 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.24030251109805 0.637364580559171 0.238217567195509 0.824710856679005 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.240446093137961 0.637839558501029 0.238790031972844 0.82623807941438 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.24074850284886 0.638688293054139 0.239962214797048 0.829184838686424 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.243002842535887 0.641644244600704 0.247762776855551 0.839283319622771 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.247764243630404 0.644105753510022 0.261876448429542 0.848433622121994 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.240760339931941 0.639743986775654 0.239256912593654 0.825933222285557 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.241234290042806 0.642526443538404 0.240381484917316 0.828394771954143 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.242120639819621 0.64672982775892 0.242855800196817 0.832232855449131 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.247038522466784 0.655064769376924 0.258771775609451 0.844640429122686 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.242140359706797 0.652150514965701 0.24611892784284 0.849090671355356 NURBSSource NURBSSource 22 220 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795648772253641 0.46924275424862 0.821905941167847 0.581873803765375 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795082830254094 0.469096361538546 0.820869978207278 0.581628008693217 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.794531486799937 0.468767951247414 0.819964182077276 0.581170877091785 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.793325374796351 0.468157964812644 0.818253951692781 0.580452155153317 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.788794752265156 0.465878960425551 0.810995755797844 0.577619387175485 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.783925143885497 0.46342604873791 0.804288549552962 0.574186833001255 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795636715750953 0.468939835718405 0.821408373211141 0.581569137420407 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795721793121223 0.468503021751431 0.820804043245827 0.581216238666333 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.796024609883782 0.467877849531072 0.819946266563966 0.580610875522612 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795826955855057 0.465360736046665 0.81542952450149 0.577333220544155 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795510760375492 0.463103405973777 0.808454521453061 0.573548830208295 NURBSSource NURBSSource 22 221 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427795474012005 0.472757909827574 0.789640981787987 0.344439160071489 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427949112341986 0.472784376125362 0.790178849602499 0.344368038645577 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428063688046211 0.472799608519728 0.790567172109187 0.344320744697361 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428419779343997 0.472849879160606 0.79178495090572 0.344166188461518 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429052151801969 0.472738415665692 0.794396914393341 0.343748715127728 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.430780076961014 0.47316188834898 0.799885051906954 0.343382014615471 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428102149810258 0.47254649495628 0.790896309527678 0.34373257076638 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428656227488375 0.472689456016247 0.793049972382118 0.343842380137513 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.429573981167134 0.473031929154746 0.79669562840164 0.344312989421321 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427665951511203 0.474177184737767 0.792732801136579 0.345836038083403 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.425817839576816 0.475309483903574 0.787838966889387 0.347310864555262 NURBSSource NURBSSource 22 222 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444807269865695 0.581495923618758 0.902772683492586 1.22142109210322 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445105108701489 0.581258096110584 0.905942564303816 1.2213107851525 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445462527795059 0.581014912548494 0.909150437588714 1.22105481277408 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445644038578013 0.580367878035938 0.913150142145421 1.21974885044446 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449839961686087 0.578197791141395 0.9460389599686 1.21631544994349 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.453688602793056 0.576526133489133 0.977740544614114 1.21405082443523 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.444285700939448 0.581738085084385 0.89922423828241 1.22160961726915 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.443444804972775 0.58206971006094 0.894476391376372 1.22214137017018 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442507034298948 0.583319711345631 0.888754273904927 1.22796326831622 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.438191596807084 0.584293975744266 0.863759951829231 1.2235057568147 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.434033586418015 0.585774109191385 0.837962019979306 1.22215734647505 NURBSSource NURBSSource 22 223 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.285536678782929 0.486824882716456 0.328940203488266 0.31076799815312 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.285671337110265 0.486785314713216 0.329350737745943 0.310824009112301 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.285628020346273 0.486734915407783 0.329254610577078 0.310759652339916 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.285885195772673 0.486689462053719 0.330043579337729 0.310840646407728 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.286959433535729 0.486076153515594 0.33339832032567 0.31118043742192 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.287986095216228 0.48537070646631 0.336637100249784 0.311330486031437 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.285406832024473 0.486676736128988 0.328870135227168 0.310534047589567 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.285480272379979 0.486787833986488 0.329112311417433 0.311035484168107 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.28564135181787 0.487132089572 0.329590361237913 0.31207457986458 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.286046321617591 0.488576717386682 0.330941014254544 0.317089387959925 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.28623003100862 0.489582410481657 0.332135765947377 0.323317308749837 NURBSSource NURBSSource 22 224 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301402203139979 0.316246722764281 0.285146142304254 0.191309532176165 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301507775055286 0.316043196405603 0.285425679284184 0.191369507042218 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30157911811081 0.315814906724897 0.28567736316928 0.191379218432473 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.301715286863631 0.31542901631151 0.28609802822489 0.191411776909192 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.302208584359675 0.313716496122375 0.287587399653799 0.191689542054479 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.302686736037856 0.312046547601252 0.289093936842337 0.191945540681028 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.300448492723205 0.317339372807045 0.283578963083303 0.191228751577752 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.299497212756392 0.318509541265502 0.281976208662974 0.191144013647778 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.297118661753364 0.320157548859667 0.277076610537459 0.187707684874872 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.290118142423385 0.331580132309364 0.26357173354249 0.184820183147208 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.283692913081453 0.346372105409452 0.249322174558503 0.1814563187724 NURBSSource NURBSSource 22 225 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.454847705479977 0.441775605933298 0.258840057881462 0.318723383704459 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.454535937922925 0.441697436270869 0.258859138073432 0.318687463761807 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.454359982602619 0.441570335887068 0.258883151230233 0.318691542765268 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.453936911166781 0.443736487826692 0.258846371681305 0.320576935936999 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45268438653301 0.439740847109008 0.258797666629612 0.320299180607219 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.450800905193535 0.435891678007482 0.258132554281032 0.317961057358903 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.453904696300357 0.445392332949155 0.257595569816433 0.324207051760191 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.452600081753461 0.450971980712265 0.256121053212528 0.331982668611596 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449655382808137 0.455041580752978 0.252698535904945 0.340689326882073 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.436570391088161 0.488635930422093 0.240146865747068 0.396450989880128 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.423012130489991 0.530868138954579 0.229549987195468 0.46260353958505 NURBSSource NURBSSource 22 226 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527010708638598 0.586677629097403 0.501857481991999 0.802011213353879 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527130243179935 0.586505598746327 0.501939871954183 0.801718935180653 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527194603768837 0.58642594389542 0.50210121387886 0.801677462542908 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527377420437784 0.586122787351159 0.502419075957899 0.80100270216592 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528497146755689 0.585074499939036 0.503954287822276 0.799457759362675 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529512110459889 0.584020714266234 0.504948434471646 0.79814757137992 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526876551581362 0.586178376023506 0.503886526883603 0.800144727780762 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52692426240665 0.585809920938542 0.505997116092663 0.798900434692164 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527253204260884 0.584876682445891 0.510943727977027 0.795684987361704 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52898334119864 0.580365850481718 0.530090013601286 0.784702033831731 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.530798658273851 0.574371426974412 0.550018403126921 0.770570736219865 NURBSSource NURBSSource 22 227 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585511654448553 0.845194234332142 1.71798832857165 3.08652683714779 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585535776583531 0.845325868988161 1.71798755734582 3.0874773102453 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585571304172163 0.845446980516691 1.71805780350778 3.08834511302507 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585587121030585 0.845860218835542 1.71786695963473 3.09140366984945 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585563774242195 0.848716517998338 1.71677469172201 3.11225833713913 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584414031475238 0.852125248033689 1.70940740808963 3.13709276569634 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.586433293737453 0.846876570327892 1.72400789057713 3.09844282672531 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.586902971876848 0.848518981126017 1.72764596999494 3.11003564671326 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587692412760428 0.851447496629168 1.73399220551994 3.13080052065652 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590876698427845 0.867069576979631 1.75897289941072 3.24467453789057 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.593313745195729 0.884686982326181 1.7797918504871 3.37612596523704 NURBSSource NURBSSource 22 228 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.394321743127281 0.915518221146009 0.690715495466916 3.92284213576087 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.394475576168145 0.915773737566167 0.691199233513397 3.92492045724781 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.394512156514095 0.916016514703291 0.691323437347807 3.92685824187432 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.394474289012573 0.916563496033863 0.691163143128322 3.93145053678017 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.394696011368428 0.918952769421491 0.691858132383079 3.95070953927224 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.39414493886539 0.921421443068797 0.689698996838474 3.96934956605193 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.394024215980562 0.915520610321111 0.689580183591702 3.92395051982476 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.393953025762315 0.915346563600744 0.689170188730311 3.92390611155278 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.393567987941327 0.915096551725143 0.687569373792186 3.92372063689247 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.392109138571315 0.915334360129513 0.681685267347742 3.9306303824688 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.388958978960813 0.916573237310416 0.670570364964667 3.94303145208435 NURBSSource NURBSSource 22 229 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363230662837038 0.73397586411453 0.591770880825616 1.25449733316391 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.36342393114567 0.73386418887947 0.592350895246988 1.25453353490998 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363612216673132 0.733731188917232 0.592914111660373 1.25461347636684 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363975359191867 0.733566462526247 0.593993696254259 1.25478161829393 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347468839143295 0.725649645493093 0.540043413383292 1.22305788098501 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.348855837669864 0.725332868314248 0.543846962506991 1.22423508895903 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363353100127727 0.7340420849126 0.592234473736575 1.25462877538177 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363586065882187 0.734091069911906 0.593054997924889 1.25494928271446 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363979003960182 0.734324333160075 0.594464222032265 1.2564845351293 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.365346948259216 0.734331062103992 0.599224352233009 1.25711936085257 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.36653586368027 0.733333764565455 0.603368573602937 1.2564059678022 NURBSSource NURBSSource 23 230 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.770426425165405 0.459090147281409 0.818667283424767 0.580504119070634 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.770815002173837 0.459295639957842 0.819195948375158 0.580882675728709 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.771080388991414 0.459559176797609 0.819791867337166 0.581293137115093 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.771694986424169 0.459982295468941 0.820955965046419 0.582010198894874 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.773542241838124 0.461498979867651 0.825667264653442 0.585046713753155 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.775565574335986 0.462964360857495 0.830113174223043 0.5877722969996 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.767928334475373 0.458822659302187 0.814773626224487 0.579799565843339 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.765392102932452 0.458418647946508 0.810937395656984 0.578887914027752 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.760552335366067 0.457612633882916 0.802979574566161 0.577299422543601 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.740601943809163 0.454376480584627 0.772450175703329 0.571494885039592 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.719972004234553 0.4510889849332 0.744711916077452 0.565456021888244 NURBSSource NURBSSource 23 231 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.543625337091509 0.49344363359557 1.24295281484509 0.331081974694109 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.54325908075348 0.493593925348458 1.24141278750225 0.331172447451808 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.54291871890969 0.49371573557676 1.23995193531748 0.331252889003608 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.542605382927096 0.49405313844768 1.23877454969735 0.332035498978074 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.541111815114885 0.495172078057326 1.23241216320222 0.332855024227159 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.54076340943316 0.496236570590425 1.23084507005235 0.333931625690077 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.543309825987998 0.492466287230298 1.24118715712156 0.330219000671148 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.543224890172386 0.491551045123616 1.24050768229496 0.329673426564296 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.542805740363043 0.489907023632985 1.23720235940223 0.328087973153428 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.541027668952884 0.481967713964154 1.22523188548658 0.320993357048656 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535605191707454 0.474187470877654 1.19908385607758 0.314561383884559 NURBSSource NURBSSource 23 232 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.599852238943183 0.626420669069081 1.6973868142657 1.16665893786349 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.599765291426757 0.626507887185024 1.69608028803502 1.16667169731305 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.600243106757359 0.626914779877958 1.69831181231716 1.16833806841292 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.600207592067659 0.626926942591521 1.69655163822952 1.16794520406396 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.599886971073035 0.627989500425865 1.68910379846321 1.17172573745623 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.59932064397076 0.628580880559856 1.68015899982028 1.17210018957315 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.600112231135778 0.626578170051039 1.69843266058203 1.1678736565903 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.600717322930678 0.626648505575025 1.70088188855065 1.16838865599813 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.601598519529771 0.626947052960488 1.7043311518654 1.17050132547811 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605865826355913 0.628997818082492 1.72079390193655 1.18228323519112 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.612307661999394 0.631444641505458 1.74576220453217 1.19279676912299 NURBSSource NURBSSource 23 233 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.323726054125914 0.46563898579539 0.459028289237594 0.339224107045814 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.323718687897356 0.465617365580711 0.458986077516698 0.33923876151471 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.323881959960806 0.465532793965543 0.459514542667887 0.339233222206819 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.323932547934078 0.46546944496777 0.459660426841613 0.339254100256992 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.32410625639733 0.46528397215199 0.4601618337043 0.33933916291248 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.324260827332718 0.465066615638845 0.460634371900124 0.339381336982698 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.323867029225839 0.466104233019032 0.459346531551856 0.3401147847586 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.323954733717618 0.466769241772011 0.459504048282564 0.341179446963586 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.324079184782736 0.46781755078305 0.459652773478899 0.343307747285857 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.325444088615844 0.472474508299833 0.463115756779989 0.354361322349995 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.32732774512664 0.4785076279356 0.468437207315667 0.369493010652482 NURBSSource NURBSSource 23 234 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.310285309894887 0.24282267553202 0.282754160422102 0.104768156638695 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.310052469308742 0.243004123929033 0.282431513451046 0.10470290723405 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309795878722596 0.243147915327752 0.282072931865855 0.104637244247452 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309304429091253 0.243408468504667 0.281420879422793 0.104495613479741 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307625746907848 0.244574437531262 0.279563940983977 0.104004507002403 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30574010753795 0.245860077568406 0.277104119671418 0.103466600027329 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.310414223307239 0.242072230731082 0.283613521557659 0.104698997408402 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.310619868439988 0.241315968993599 0.284539571153908 0.104579836425645 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.310967204483282 0.239964807682071 0.286296837038216 0.104405352188176 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.312537402085557 0.234590558858256 0.292957164490758 0.103971032327963 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319517439955694 0.227008097037558 0.306550249272478 0.0992193740551554 NURBSSource NURBSSource 23 235 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442032195047544 0.469342829359386 0.203836679409812 0.293417679812382 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442100504602807 0.469455254801301 0.203920502646339 0.293392612788949 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442233059424471 0.469162526669354 0.203952565919619 0.293252112192635 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442086069291207 0.471169726076502 0.20411660904908 0.294029073948893 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442894813301321 0.468888448074242 0.204352031788108 0.293151314280467 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.443252830704123 0.470782830530066 0.205635636334128 0.291710004212804 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.442126286062456 0.469706567267963 0.203698607424779 0.293687746614859 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441432319865793 0.475587997101622 0.204306661977213 0.294456653661774 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441680411255355 0.476881113739747 0.204284836147858 0.294657939161013 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.445539968772001 0.468839411643273 0.204081827977496 0.286748179097426 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.448087632040446 0.46929867758415 0.204431612902794 0.283761372604849 NURBSSource NURBSSource 23 236 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496172299201774 0.56686705628708 0.500365038819254 0.671252513596137 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.495984005370269 0.56707976590034 0.499339832189458 0.671669757697175 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.495770572949866 0.567291986673822 0.498305983423189 0.672173300643384 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.495432881626073 0.567754991930674 0.496337435327031 0.673159747249394 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.494070431700201 0.569597085334026 0.488487776956101 0.67720230127061 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.492742857486978 0.571192259887448 0.480958659968824 0.68051515335973 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.495566606996769 0.566202094563942 0.500601107824503 0.670967458354124 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.495028353867938 0.565603524832343 0.500806782173198 0.670620935679126 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.493863414404944 0.564107752946499 0.501189993846351 0.669623565603763 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.489703883754488 0.559303662970914 0.501535789035382 0.668974520747139 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485104380247597 0.553905215967463 0.499818495242735 0.668247293091312 NURBSSource NURBSSource 23 237 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470922196811025 0.786383120931894 1.15376124471724 2.57775290451741 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470899811099285 0.786308935884359 1.15367919059268 2.57714415290125 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470882754537803 0.786072901130728 1.15363127135189 2.57556412807107 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470861738246912 0.785724125467685 1.15364573685248 2.57315870546441 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470667593897608 0.78419398831875 1.15326111570823 2.56285125794322 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.475304089931621 0.778244618846491 1.17337384862557 2.51558643587164 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471318442468766 0.786126981137899 1.15561786392775 2.57631318447583 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471487241531545 0.786288058592376 1.15648506716273 2.57777333175233 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471876590651027 0.787979861342793 1.15852334458596 2.5899301174753 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.472791266727244 0.797840048276047 1.16388056396704 2.66115682616984 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.477050282143489 0.804731340504715 1.18287492733617 2.70552480319753 NURBSSource NURBSSource 23 238 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.530723554517612 0.813563788943158 1.22930453255283 2.95832994371428 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529904827986376 0.813880201691937 1.22572540796981 2.96039634893372 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529309629363869 0.814065842198268 1.22313357667741 2.96166165890683 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528370598674802 0.814443206261001 1.21893252645547 2.96500359134597 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522928464332013 0.816060004647667 1.19516021560836 2.97602094462754 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.516160470645978 0.818258364737251 1.16618495157062 2.99142389929844 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528166239688147 0.812755832751713 1.21855981295791 2.95341420595555 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.525952441155239 0.812032162604076 1.20933067137779 2.94904636371954 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.520236399046495 0.81057062994714 1.18550127227894 2.94077516131015 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.497982232356705 0.804216282930645 1.0949319381137 2.90234852737426 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.47987668445139 0.796998032238024 1.02241195289986 2.85610206782287 NURBSSource NURBSSource 23 239 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569567372643139 0.817440726533678 1.39139906508847 1.43333302060748 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.56938660459859 0.817118767013436 1.39056913626147 1.43279223273349 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569060652146244 0.816848436453736 1.38906699754589 1.43228677090789 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568424042165521 0.816279397422204 1.38610981024858 1.43123443134684 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.566257121411614 0.813988259581865 1.3760421040048 1.42706546684395 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.564097160878387 0.811412093097441 1.36600879633215 1.42063567335933 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.5694685594069 0.818039034886124 1.39087179696526 1.43492184489606 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568980013465588 0.818319161120394 1.38849249645657 1.43574557378678 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568216829057791 0.818758217963291 1.38469751516019 1.43727645127714 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.577652053242249 0.812989050737751 1.42051134088053 1.43458449813713 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.573597064155874 0.812940219938241 1.40046444753448 1.43863960172449 NURBSSource NURBSSource 24 240 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.766709592054227 0.456738965976074 0.815228252638559 0.57581574929086 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.767165328118702 0.45662429549591 0.816452809488677 0.575813774987022 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.767546412524124 0.456708451096278 0.817557022265545 0.576533886533018 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.7682056472308 0.456583912479087 0.819835637890784 0.576860589748838 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.771321186086656 0.455532308998504 0.829481287601518 0.576605509359249 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.774516186753824 0.454814644589683 0.839178292746992 0.577241531669142 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.767222337015859 0.457699546496845 0.816599022480382 0.577563487833094 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.767138846826077 0.458699179746875 0.817100891918834 0.579468753182269 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.767584303653168 0.460703446474854 0.815708041962524 0.583224784097814 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.769172312575946 0.468978065627771 0.81978336826572 0.597237754854662 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.770729777716781 0.477279496274358 0.826643069080089 0.611660005265864 NURBSSource NURBSSource 24 241 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.539797560629621 0.481751974687967 1.2315396626089 0.321365011902024 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.540119528496943 0.481946543825905 1.23299017325421 0.321555160173512 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.540440263661494 0.482114368391853 1.23443528129808 0.321711666423327 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.541223203024024 0.482510471266293 1.23793758036724 0.322075765879639 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.544142671617786 0.483888921597986 1.25060708297969 0.323167074078093 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.547306884511003 0.485100185500959 1.26472180772098 0.32422879591874 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.540942841673091 0.481381748472108 1.23670171220863 0.321144198665375 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.542273086670664 0.481342598321681 1.24229245367546 0.321078917754628 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.544773836002408 0.480565828344886 1.25411936894637 0.319967523154067 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.558487671611612 0.475345167051453 1.31493430203942 0.314335401008165 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.575210378765518 0.467766003180811 1.39068564660865 0.307544080521513 NURBSSource NURBSSource 24 242 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.592129340160229 0.620717982514901 1.64535195367316 1.1329604042045 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.59234201944699 0.620726833027848 1.64692876470178 1.13308473832776 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.592266102791157 0.620348193870391 1.64698860561704 1.13100105690795 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.59307335492189 0.620912697689649 1.65254160240981 1.13483932828921 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.594691442552009 0.621076147799272 1.6641651273893 1.13471411952387 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.596057520545537 0.620736592903441 1.67347124310316 1.1319283337018 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.592078051257089 0.620690138288888 1.64484325454857 1.13385800083623 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.592378561191898 0.620814491783348 1.64693201486722 1.13588192301457 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.592702054420636 0.620572049630591 1.64901408444011 1.13591183753228 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.595036611779466 0.620351654351299 1.66375566882332 1.1417760577224 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591677489553513 0.615149171710173 1.65005401814837 1.12577407622357 NURBSSource NURBSSource 24 243 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320822649031613 0.459019785745911 0.450787770220534 0.331444338505266 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320815402508509 0.459340726679777 0.450722699548752 0.331695852219275 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320796469578944 0.459643017991469 0.450616731706328 0.331927943703814 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320688820391863 0.460537333242077 0.450218693318579 0.332673896321115 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320578488106832 0.46335098539878 0.449581233174061 0.334964533120128 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320395043776925 0.466188287468676 0.44873448722426 0.337452120248594 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320739448678314 0.458334083082604 0.450754456647234 0.331177475642553 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320423227026016 0.457628211211969 0.449956953253369 0.330732413873731 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319901517092479 0.456300302711814 0.44875633449761 0.329887335899086 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31179530276002 0.457266401203566 0.422664815065142 0.328189701319153 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.309678552973536 0.450577050605763 0.418480711453366 0.324665448448868 NURBSSource NURBSSource 24 244 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307410501853366 0.2411549876479 0.271868910954385 0.0984929369882057 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307311526072179 0.241106722837659 0.271532979592942 0.0981350669742469 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307340877314622 0.241264261990239 0.271475724847902 0.0981540286796163 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307578298458494 0.241525159235423 0.271946449431939 0.0985579146451617 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307385797702764 0.24234340222777 0.270242905483926 0.0975965156775367 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307596138124002 0.243978045198194 0.269918577793548 0.0978330113658679 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307011003831136 0.239488146928421 0.272054701751018 0.0979552572115888 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.306861000863564 0.238246250275168 0.27268933907245 0.0978544996652117 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.307122980157373 0.236340083132468 0.27467174050265 0.0980600021982543 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.30510858128846 0.228532583020412 0.276342944486422 0.0959784437273792 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.302792306647518 0.222170956002651 0.276183611838605 0.0939042516791166 NURBSSource NURBSSource 24 245 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.44156028834281 0.460328790788657 0.204989159204232 0.27705367868805 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441315997941569 0.459923108954141 0.205128641929264 0.276845551905736 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440718490141983 0.459200351032542 0.204717920787544 0.276085019672672 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440167343620155 0.458389201721114 0.205008059062913 0.275660457332924 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.437889230419611 0.456699049563697 0.200268266892927 0.278168690301974 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.43562534734697 0.454603637514187 0.201429712558417 0.276706771807271 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441095827026029 0.461658196012712 0.204501868299595 0.278246246257281 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440618657218891 0.463193682048589 0.204044760568812 0.279473100511066 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439639869333435 0.46633887858861 0.203065424594841 0.282043478958503 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.43601049460262 0.477380091392573 0.19887201083847 0.293606350247532 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.43306082435891 0.481391925194001 0.194215397648057 0.305209438429522 NURBSSource NURBSSource 24 246 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496739221741251 0.5575092805247 0.495008292506012 0.654365652622927 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496623586696837 0.557656961577584 0.494707592949915 0.655137840537183 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496413676636253 0.557780484153267 0.494639461171722 0.65587877101884 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496040771485502 0.558074095360957 0.494509701513347 0.657434181469709 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.494575699486352 0.559305516939458 0.494083351932956 0.66362698482002 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.493192941445975 0.560334929891775 0.493859295242796 0.669394124794523 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.49658651340091 0.557069459738557 0.495313402229911 0.654287686063119 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496469128324295 0.55667505313316 0.495700016453627 0.654253115260783 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496172023000965 0.556002141128231 0.496244770799473 0.654620722578083 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.495533916783001 0.553243496373886 0.497615028034359 0.656061267409103 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.494878555913317 0.550774247140677 0.496120379887085 0.65849856700119 NURBSSource NURBSSource 24 247 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467996827456469 0.779359723640327 1.13622792629542 2.52395463595865 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467844942233854 0.779301549569832 1.13550159600243 2.52364198741123 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467686918435468 0.779283466276735 1.13476232668096 2.5235929364092 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467655372556873 0.779578544742438 1.13451003665969 2.52592160016264 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466760161652277 0.780365218703713 1.13045753683952 2.53195851253231 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.465323294674411 0.781341563661089 1.12363795229789 2.53969407489992 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.468177014834287 0.778728430740854 1.13686405765904 2.52061468664155 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.468324958089135 0.778258221401287 1.13736814976104 2.51816650998701 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.468621223233743 0.77743155239216 1.13839726461793 2.51399891329727 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.468453793091367 0.774340706602339 1.13626569766009 2.49824989340191 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467286390435326 0.770267272764174 1.13053640653752 2.47494016461698 NURBSSource NURBSSource 24 248 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527226410942144 0.812012944020569 1.213175521832 2.95723491257364 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526610008655824 0.812017197538094 1.21051215339436 2.95726571314116 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526000640786806 0.812008517312972 1.20788336622997 2.9571985798187 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.524487586569591 0.811820808579691 1.20139504091094 2.95587400397466 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.518524200440794 0.812739128530032 1.17618818919088 2.96348928043684 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.511664740490394 0.811883146514914 1.14713720351441 2.9561085130457 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529406039096666 0.812683035458979 1.22255600701242 2.96221611029727 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531445710717244 0.813043867599974 1.23137162314915 2.96615998441239 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535034602452592 0.814196224366911 1.24714724048609 2.97505667161986 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.541902098962151 0.817133616652311 1.27839034735717 2.99695139085533 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538183202937582 0.816509930653427 1.26375824723338 2.98699537051571 NURBSSource NURBSSource 24 249 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527566364549455 0.795418170012304 1.20443167244541 1.36913918019078 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527322975302143 0.795394276033809 1.20341416476248 1.36928634436278 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527151462158589 0.79534897431338 1.20269224635367 1.36932687312492 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.52668941183601 0.795262546571445 1.20077495653667 1.36939371013619 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.525151776197977 0.795558540434557 1.19439518490948 1.37142047076361 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523417794619235 0.79559154541466 1.18723617255648 1.37400931154102 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527840181968809 0.794669330982348 1.20564395082106 1.36753125321992 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.527945224113623 0.793425897156349 1.20615338414614 1.36482555973415 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528349460380932 0.791550315927956 1.20799403444753 1.36110758602261 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529221733054331 0.785041998516098 1.21158590001402 1.34771945503314 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.528576762509393 0.776873718527898 1.20796613356305 1.33068953366355 NURBSSource NURBSSource 25 250 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.777215748737939 0.477859870841236 0.884351870221528 0.835226962513621 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.777145154845238 0.477250780887902 0.885140777398107 0.831546082881514 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.778355661881435 0.473562735371149 0.888151589329475 0.806540489466641 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.780085277081992 0.468805987752014 0.89193736891762 0.779854197514194 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.783145245937431 0.467619680363534 0.898279159663961 0.776923589614889 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.786192704342051 0.466856321263575 0.906372400285251 0.776530144239425 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.773934080918859 0.475863496214361 0.880978881769365 0.827958156299251 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.771234173995934 0.474045205347487 0.877824369078556 0.821936677693184 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.767545069913346 0.471799021400926 0.874766087344339 0.819772107163469 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.752044895007402 0.467405488178423 0.869040470226145 0.83615810380165 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.743169699865692 0.463942757829337 0.843055285965413 0.840170930199905 NURBSSource NURBSSource 25 251 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.413788553700692 0.585624512506396 0.736758475624169 0.675860465422624 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.413148777291866 0.585492986741434 0.73421035214129 0.675381485954581 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.412698065827321 0.585549231434169 0.732380601451407 0.675042936884276 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.412213114898898 0.585922759135591 0.73027184743412 0.674724334176946 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414139688335604 0.584069359155731 0.735674451537098 0.667841990230062 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.425338628524204 0.575512890942817 0.772267915589313 0.653658111281924 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.41873765630658 0.587347993117887 0.754767776187225 0.676632361654285 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.433598627051075 0.591041819737479 0.81073587123158 0.679015246071946 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441124680697361 0.59552930298227 0.838752651566519 0.678768887435527 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439677654672859 0.598135477431974 0.831524233292642 0.684508235727023 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.43401222979457 0.595075455150145 0.808942844546198 0.691645618890426 NURBSSource NURBSSource 25 252 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.504402902930773 0.626640040931455 0.927344461393445 1.32212107973325 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.504542662052192 0.626660673797953 0.927694739192056 1.32123387252671 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.504693006828324 0.626628079103605 0.92837631085908 1.32087247460822 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.501156353737927 0.625755506256657 0.924155099258112 1.32466335708341 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.505877043671264 0.62734420040848 0.93125579325418 1.31858178050781 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.507880310146759 0.628480205411782 0.929560031016447 1.31363257548725 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.498396371635575 0.626051688304882 0.918175370219122 1.33335366273325 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.496235837144517 0.626597445885039 0.913527252642623 1.34134607610151 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.492706542543449 0.627282904940735 0.905393209906047 1.35448999102184 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483239056630295 0.632422440133575 0.878973203888869 1.41286080704126 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.485519613196733 0.635466701699126 0.879500834006611 1.41164231654182 NURBSSource NURBSSource 25 253 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.259754029352441 0.444746430923285 0.271284169889846 0.279241660408539 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.260281600484758 0.445272868081494 0.272522437423407 0.279139448726565 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.260911586901749 0.445672916176666 0.273975335655416 0.279096739926833 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.262752258802347 0.446234773689714 0.278274056188292 0.279374129180159 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269913411967468 0.452189837334223 0.295163708545445 0.284489749647578 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.276972136047075 0.465356904119895 0.310489490625827 0.295958133875863 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.25813302413939 0.444338310700513 0.266841932481397 0.278470192447552 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.256699763343732 0.445095415961696 0.262782328957021 0.278570344351955 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.254549403970016 0.446276496416707 0.256057374826495 0.279227951120429 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.247489485344541 0.448348399222405 0.231468235809358 0.273750873054502 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.242166719646841 0.442621990984094 0.211771808222501 0.269195976692044 NURBSSource NURBSSource 25 254 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.264734509019253 0.302210912370647 0.226252424074929 0.218482641770447 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.264387893940842 0.301989864109407 0.225703174514383 0.218336112555877 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.264123596864078 0.301873825166084 0.22519619460532 0.218156811272798 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.26376272641652 0.301828491117238 0.224188040335705 0.217943607951595 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.263398394792787 0.302334591473282 0.221240015619674 0.21755416653349 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.264908299548732 0.304296167699407 0.219339607621733 0.217531221571691 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.264317641165718 0.299485587722065 0.228306911828303 0.219358231759204 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.263637318933535 0.296490724382555 0.229549113150749 0.21818475383656 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.263075866999828 0.293609530167583 0.234138252267344 0.220272227057665 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.257292783799935 0.297809045786326 0.23639053236561 0.216874308040664 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.252007290132319 0.294204806619182 0.235309226666873 0.212687567518361 NURBSSource NURBSSource 25 255 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.475437205052945 0.446875103612269 0.272487552384063 0.310353082309925 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.47327303501896 0.445745711609567 0.273396910729017 0.309907790971288 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471126021727738 0.444606307058592 0.274269206813142 0.309393818625291 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.471644646406468 0.441267350977095 0.274354866339845 0.307570639894281 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470789570613195 0.428479558031222 0.275910321026898 0.297639654291396 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.463351833673136 0.416367536854949 0.272293230562764 0.287752880931351 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.466662528860105 0.447465792534312 0.273945932666383 0.312973004731094 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.464716799612323 0.446756006026765 0.272804032386986 0.314362565074883 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.460635465993901 0.446043166240374 0.270372174794827 0.316860563070649 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441814595872754 0.441562165383405 0.259557669701083 0.324415460605724 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427176678182463 0.450140560296685 0.256298162975688 0.3353855860744 NURBSSource NURBSSource 25 256 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.56121618173289 0.646744731659832 0.498083658945417 1.04295101140117 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560423667546418 0.646592587860644 0.498409285542212 1.04639862748896 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.559386589895539 0.646507260757818 0.498923228475733 1.04986367679145 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.556134770115881 0.646413143285548 0.500254626124124 1.05576690096105 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.55062122040091 0.643036070461018 0.504759947131441 1.06343304863801 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.548737871449913 0.638454443447922 0.508261148679902 1.06224810616069 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.56004722397646 0.64979498974802 0.491450921236588 1.07218653685122 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.558646005472421 0.653237455586507 0.484534774880341 1.093707890667 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.557948609282897 0.658055126076688 0.477681244294266 1.11600962029642 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.567404241214543 0.647810781424945 0.497601283824699 1.09810155014242 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.555915955953517 0.641708855113455 0.476775094622675 1.11394937641715 NURBSSource NURBSSource 25 257 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.524064747814571 0.666763766518602 1.40495716447415 1.84477442928403 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523829109173331 0.667002300441875 1.40387396351728 1.84681167504941 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523647518906113 0.667236320428839 1.40305667154971 1.84874859205923 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523393007120846 0.667823369667353 1.40186154836265 1.85304401022496 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522429139753539 0.670537722170015 1.39711000930803 1.87129536234401 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.521839358221966 0.673251236152557 1.39407247892064 1.88864306433886 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.523768417291111 0.669079517569847 1.40597991648521 1.86577369875081 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522083394030578 0.673186151409424 1.4007515749539 1.89837459642051 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.518839186124815 0.684970083196034 1.39206984162625 1.98312490875878 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538567872776099 0.703509649913998 1.48979441581808 2.10863994283473 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.565418404115388 0.678007100435105 1.61310768654006 1.95089148259426 NURBSSource NURBSSource 25 258 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.376262270255096 0.914551826422752 0.600196950291518 3.82439975561183 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.376449655547557 0.912327715893995 0.599950591867763 3.80710443373321 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.376152787432468 0.911556389791595 0.598045865411315 3.80381587226677 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.376744238991455 0.907571855928052 0.598503677773883 3.77330128077893 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.379999899682139 0.89619279601244 0.605892144692227 3.68469331759804 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.369446820735392 0.89910291744439 0.564976065721917 3.69340862215644 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.38203370502258 0.912098363901839 0.61863964050838 3.81204634233427 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386704857667855 0.910027544931754 0.634000047779809 3.7999663695511 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.393442186003087 0.908860722678051 0.656252218204093 3.79555087951113 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.404659362960488 0.919318292873842 0.694284925032157 3.87304754868847 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.424050675329621 0.922175117060667 0.76048073046721 3.88781243890862 NURBSSource NURBSSource 25 259 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.291751286195676 0.81290150243052 0.376065546871461 1.33491766583299 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.292071016540226 0.812690714636871 0.376996904153587 1.33542833690597 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.292299898780342 0.812412422088839 0.377669412395572 1.3356572539108 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.292923733764105 0.811495431569898 0.379349964164044 1.33585136820617 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.291893851847577 0.809137033079102 0.376783000089533 1.3343845703828 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.288489360233123 0.807144273634441 0.367323573537417 1.32895928787684 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.291920956120121 0.815960850583071 0.376731187690729 1.33738623837929 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.292289184428244 0.817984399368865 0.377959277354193 1.3393974180541 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.292999289015077 0.821307619782777 0.380197681817456 1.34172902347735 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.295047485332332 0.831114741097014 0.387994504687817 1.35595288792525 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.264765985857196 0.827073222409985 0.304499471467282 1.29643541402833 NURBSSource NURBSSource 26 260 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.843251634814848 0.543592333004676 0.96082432880414 0.771830395898131 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.842853571177969 0.543310915640016 0.960308949724791 0.77140333483987 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.842442872953941 0.543056076654928 0.959708434545076 0.770980342982914 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.841614249943547 0.542451382078371 0.958533186525262 0.770140022475848 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.838362801212628 0.540361600694996 0.95381539277331 0.766925235732175 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.835184515441078 0.538446905223384 0.94882214358292 0.763840292967502 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.843950064348114 0.5432142979531 0.962109010566222 0.772520545510097 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.844688362274213 0.542885688269759 0.963200615906972 0.77328231646598 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.846109927622368 0.542298103758825 0.965518906308577 0.774942633250012 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851235120220201 0.539903182120777 0.97343067240621 0.781845196608757 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.856979351945942 0.538178549991422 0.980728068050448 0.788071373783827 NURBSSource NURBSSource 26 261 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.550205287522439 0.621712293313795 1.2297841226351 0.746403084977981 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.550201274635973 0.621613918322963 1.22971080796126 0.746522588586593 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.550035880940695 0.62135250799972 1.22897152095835 0.746100532039192 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549980894748659 0.620942381102449 1.22856620194957 0.745642074699316 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.550964133774822 0.619869906809461 1.23194137104869 0.745342214812707 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.551458415175027 0.618536845658639 1.23341489629288 0.744100276720415 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.550003646852828 0.621489325844254 1.22889287619643 0.746010450869913 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.54991416644332 0.62141215360297 1.22841219581464 0.74610494134672 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.549702273624588 0.621214872372439 1.22726781397228 0.746467986931951 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.550234671194447 0.620827608512958 1.22831341184647 0.747928871893625 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.54853165992323 0.620587664392933 1.22057909289936 0.749610541375221 NURBSSource NURBSSource 26 262 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568949507670414 0.800961021876365 1.46454763681731 2.73570225103498 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569029419153375 0.8009390472564 1.46477577500606 2.73525649591344 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569166536507633 0.800901860092542 1.46505405315729 2.73450424282368 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.569373810561805 0.801007891595315 1.46506030272398 2.73437163594793 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568706418617158 0.801313183701214 1.46033345053462 2.73563962584671 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.568888497877018 0.801449644626179 1.46058427121579 2.73640142221679 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.567736527561571 0.801259096898434 1.45462536264919 2.73440890182413 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.566151163400041 0.801621863404308 1.44333875386711 2.73342054055155 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.562969342015964 0.802617113246701 1.42106347414035 2.73473236855913 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.551972375887977 0.805361479913652 1.33845495496792 2.7241512501174 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.543228341187911 0.808150456534335 1.2615074977033 2.70130323176004 NURBSSource NURBSSource 26 263 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347202824225085 0.561982408323028 0.497015582419817 0.439633765682661 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347440069658635 0.562174779051641 0.49773057550653 0.439926755641145 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.347693972876413 0.56234218184059 0.498514065893381 0.440271793186361 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.348314095412932 0.5626857443743 0.50060932165193 0.441110589310675 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.350222849212209 0.563852129230518 0.506521600695367 0.443985996974315 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.352227104376416 0.565292379505992 0.512789296249142 0.447080404495011 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.346724886366213 0.561389164293315 0.495639198082881 0.439092518139598 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.346251141430481 0.560734537222821 0.494289330626719 0.438480527269538 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.345468293469522 0.559579119394391 0.492323142411481 0.43758682254234 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.342957806138479 0.555751311785519 0.485738713496614 0.435660288120061 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.339687770866652 0.55214904580456 0.476429935533792 0.433488395694215 NURBSSource NURBSSource 26 264 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374081744645696 0.448368204815358 0.497294202768163 0.594738168096477 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.37412528007288 0.448561214882466 0.497281909246769 0.59466645735461 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374189838159949 0.44877176321911 0.497335064234368 0.594581206086766 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374294988736719 0.449215220313573 0.497341822633989 0.594475448643887 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374661454950223 0.450695334333772 0.497273919340698 0.593999883534091 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.375050513032333 0.452009714144171 0.497484611943588 0.593618524063185 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374142222916536 0.447818501902601 0.497741032198238 0.594748208647635 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374263326573088 0.447225243445472 0.498215112793403 0.594587416936982 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374420407183667 0.446224391582048 0.499148670343696 0.595310809878671 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.374647971360255 0.44177702503789 0.500611499255048 0.59414538859698 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.375034596565642 0.436751011485661 0.502461737475785 0.59347169871254 NURBSSource NURBSSource 26 265 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502692028813009 0.510815079786849 0.370203377992512 0.439541701572802 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502598448134073 0.510606632791951 0.370289799935986 0.439277390165591 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502422402863083 0.510590697502379 0.370372009238516 0.439294323896224 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502148360583598 0.510776138274133 0.370527566422755 0.439122216654949 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.501423176097749 0.505045372507204 0.371030477446629 0.434474941330476 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.500895849566888 0.50278997700529 0.37170414813496 0.431512030179789 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502850242061499 0.510526045128301 0.370605964721871 0.439248882676957 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.502992343990708 0.511016197560047 0.370999407395166 0.438826080263519 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.50365699852625 0.508450940548851 0.371393457718857 0.438358512305795 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.507343621099813 0.505902025237499 0.37488513016216 0.43483266742262 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.510751380811889 0.50226788436884 0.37807793738188 0.432652374909718 NURBSSource NURBSSource 26 266 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587536985355829 0.69854853777427 0.713139333311432 1.05389912590486 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587590206701299 0.698483786184026 0.71345136697435 1.05341338987439 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587740516171301 0.69838351657527 0.713990787628558 1.05271307367182 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587883378770019 0.698197797362 0.714782940584103 1.05176009651601 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588516441748931 0.696858858109786 0.717546095318924 1.04576078656577 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.589010446406318 0.695812816077874 0.720958662034729 1.04136708530566 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587781184187437 0.697791720712806 0.715016857224758 1.0520830752278 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587861510160811 0.6969185077162 0.716455639263908 1.05025265066434 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588145992010005 0.695154573554674 0.719534105309665 1.04703800378768 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588877125296111 0.689881353243951 0.728486943778475 1.03665402185926 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590488479738324 0.689359158880384 0.735005074040713 1.03768235259553 NURBSSource NURBSSource 26 267 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.640801924429263 0.838777489462208 2.05166599925634 2.9813924130446 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.641038278354017 0.838865708321038 2.05308019504193 2.98209952845976 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.64122534695623 0.839012593850765 2.05422008741375 2.98323646054306 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.64177178674454 0.838878735357674 2.05741891083265 2.98240344804918 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643439870204947 0.840384515734116 2.06747495381287 2.99381166087875 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.644572610844606 0.84329923015729 2.07457978884681 3.01554893757795 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.640128927977094 0.840150147086417 2.04773504597284 2.99123485943967 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.639643942441716 0.841425749555305 2.04474181047363 3.00037492748657 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.638325378998995 0.844029735665604 2.03706581772271 3.01894148632567 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.632724048919309 0.85506503717007 2.00503461587592 3.09815629780874 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626642858944194 0.865480175739298 1.97058384794213 3.17348285314081 NURBSSource NURBSSource 26 268 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.46301959183744 1.02020830040922 0.912903432013114 4.82072224119721 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.463447343251938 1.02040943504361 0.914831952171538 4.82111868112422 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.463656391902275 1.0207539709622 0.915929332435971 4.82258382349898 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.46437828626526 1.02127304970411 0.919261387920586 4.82420755628045 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.465947668385282 1.02425522931838 0.927362179706734 4.83700196207918 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.467099987981745 1.02668027043703 0.933513675782814 4.84250378263166 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.462776167548133 1.01950095354526 0.911777888680957 4.81493639006543 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.462516559950649 1.01873555933439 0.910607373675666 4.80864029082782 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.461905662958331 1.01766397348866 0.907882485041043 4.79936073713486 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.458589530301699 1.0125560296075 0.893609786727198 4.756562735901 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.449282948708 1.00870272493364 0.855007096529751 4.72276483470682 NURBSSource NURBSSource 26 269 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.405567394889943 0.861221745080795 0.729929460833991 1.56718571832066 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.405518933458439 0.861163686652876 0.729724386109962 1.56712533251025 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.40551504685108 0.861114145120082 0.729680828157038 1.56701097796387 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.405365035709427 0.860999573590548 0.72907407375866 1.56685019748325 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.404597533018382 0.860671169858964 0.726036729608587 1.5663158172265 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.40360137783621 0.860070822289778 0.722170064963309 1.56522058186218 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.405044726059746 0.861752104707868 0.728147870174097 1.56862054801193 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.404669107793651 0.86225046523044 0.726896823252557 1.57019345493835 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.403751352523619 0.863059158425888 0.723804258883158 1.57260871320133 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.400192184306628 0.86651338329342 0.711873705174516 1.58192691203863 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.396226936704702 0.86789835758513 0.698728762216591 1.58653389201939 NURBSSource NURBSSource 27 270 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.832639739978442 0.546806963077656 0.957018132643395 0.794461251237258 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.832614164111009 0.546506843415135 0.957115792988258 0.794154050343599 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.832637243340814 0.546285983762853 0.957151546238625 0.793864783722024 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.83251732167257 0.545743896477213 0.957239726793235 0.793217825641787 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.83209335268488 0.543824418244829 0.957890703900777 0.791057293519948 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.831913795868859 0.541656086198114 0.959152642611263 0.78883165079169 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.832230266811843 0.547274559866282 0.95586976868621 0.794464313632874 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.831830677295943 0.547638027482132 0.954928462142272 0.794422212398787 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.831337115857257 0.548762118756559 0.952869325514487 0.794798815741817 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.828567236530769 0.553390111812688 0.945103927613691 0.796344974171722 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.826549348253081 0.558837888428809 0.938313604716795 0.799649378581012 NURBSSource NURBSSource 27 271 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.645269779958999 0.599088123047727 1.66987267640803 0.541864099622469 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.645416210479161 0.598885453756354 1.67062957030576 0.541734376971836 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.645622163585163 0.598714731653745 1.67165840874034 0.54165393701226 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.645934122636946 0.598317846213622 1.67323035224269 0.541314606743765 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.647899560118386 0.597215011249417 1.68289985338511 0.540685057546179 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.650162192326504 0.596433936804142 1.69401871466938 0.540556253140979 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.644387506024224 0.600033239729927 1.66532144184558 0.542431166629038 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643681775549941 0.600934263773968 1.66166178282212 0.543185020543757 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.642436579568666 0.602455696953531 1.65506032866557 0.544072316943746 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.640438675994966 0.607710798133454 1.64344821504602 0.546818337779904 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636945819065224 0.611255865730429 1.62547237305434 0.549071427411282 NURBSSource NURBSSource 27 272 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.727546576339665 0.769284058396304 2.41546350243296 2.09539975568115 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.727400525860204 0.769265114663771 2.41438857529371 2.09519246677484 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.727278960512015 0.769255931206084 2.4133574882406 2.09499594268517 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.727178554504041 0.769344026848836 2.41227580053982 2.09536964631821 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.726640506930189 0.769380680699385 2.40707573945322 2.09397975842893 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.726340455332236 0.769465579412682 2.40243256574296 2.09238345739668 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.728333874519991 0.76890241037191 2.42610588924981 2.09786200007317 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.72928788650988 0.768579523074726 2.4379871066783 2.1010013940306 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.730306673028244 0.767957873484832 2.45422867665528 2.10538138033415 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.737396660354358 0.765633256198688 2.53295725861907 2.11305813058176 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.743814669857922 0.764405471142882 2.6044494926288 2.12969441090026 NURBSSource NURBSSource 27 273 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363532762378108 0.553129377074761 0.559978729953838 0.486147007036194 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363590763019485 0.552845878915814 0.560217369775209 0.485803928640935 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363664700718214 0.55247614986609 0.560517535895274 0.485370249685387 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363800167379664 0.551824770464745 0.561051384312368 0.484597631399027 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.364243179108313 0.549202934288581 0.562936987289505 0.481487902287068 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.364805057947618 0.546975370943679 0.565199294693832 0.478992030778725 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363480029943246 0.554353496516272 0.559657979849951 0.487832618207481 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363442501933327 0.555355778233007 0.559466144824003 0.489429036758379 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363345022986135 0.557341665429386 0.558989281131385 0.492480577096561 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363556835738301 0.563965089404929 0.559674522465033 0.504487080600746 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.365225040942721 0.575683345931228 0.565656229402262 0.524657597303879 NURBSSource NURBSSource 27 274 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391095200456941 0.357681493504409 0.525962977044624 0.348307872370212 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.390996528793436 0.357522902470949 0.525997840203034 0.348397563801282 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.390889473850295 0.35729994346985 0.526073544531038 0.34845655376913 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.390710740839629 0.356959040446411 0.52635307202608 0.348544978384048 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.389960483447577 0.355574032382344 0.527326558709475 0.348793241607051 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.389132457080415 0.354037480262073 0.528221640096524 0.349195474956665 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.39137212956936 0.35802048223022 0.525281189840856 0.348073011177929 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.391584351221323 0.358276169145546 0.524443470869759 0.347584163377421 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.392213826100825 0.359214784192803 0.523428632848855 0.34759482072831 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.394678720394876 0.362066530426387 0.519578356529352 0.349280754504052 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.397431586820019 0.365937807995198 0.516890292566826 0.349625148302954 NURBSSource NURBSSource 27 275 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48364073359394 0.524900372469389 0.303403390664372 0.369266155023332 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483666396388955 0.525050263984283 0.303386536044226 0.369418810076212 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483718282250252 0.525103575418013 0.303399993153729 0.369494536614746 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483856142545655 0.525297030466804 0.303439709347433 0.36974974481363 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484212870609469 0.527120343548944 0.303561458620407 0.370709958190607 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.484881734517741 0.527209167950815 0.304061747622187 0.370639641495317 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483691905504303 0.525363713915426 0.303023312401179 0.370317683480427 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483732810015621 0.525125021877644 0.302537599628947 0.370991300017401 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.483697622506942 0.525889753054325 0.30175077314047 0.373051837108677 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.482222558895396 0.526097521560852 0.297233332810289 0.381057310972965 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.478046645747622 0.534490333120861 0.291192168443583 0.396865566145578 NURBSSource NURBSSource 27 276 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561462963485965 0.671617629186232 0.708927571973858 0.837772783107511 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561491770212383 0.67168823151749 0.709074159594209 0.837946726023627 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561554147418705 0.671744017398114 0.709290615098623 0.838201530689127 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561709871381882 0.671788578621526 0.709665162524123 0.838344441310523 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.562147057578902 0.67195099753466 0.710810603325437 0.839165545561156 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.562474907521669 0.671887048212091 0.711797281408211 0.839605750845241 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561508175504201 0.671520471601239 0.710368834650812 0.836739780948146 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561543527238425 0.671452107567336 0.711783340337814 0.835634107241034 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561611346854236 0.671079291195706 0.714796566161095 0.833002510523902 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561489813388291 0.67055765150332 0.727845034580118 0.825557701774842 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560999810008542 0.669491667908654 0.741635813987798 0.818704464564672 NURBSSource NURBSSource 27 277 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537683086261788 0.811131692451288 1.49566941761433 2.72019704706254 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537585437247393 0.811334462441974 1.49519461715851 2.72162656229477 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537523697300862 0.811540897359758 1.49487156587153 2.72307521334446 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537399708762545 0.81194771227411 1.49428244607183 2.72595482910735 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536438139037627 0.813176104195317 1.48964525969371 2.73460889334126 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535492109510723 0.815102139008583 1.48546879668628 2.74782782561709 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538412251780374 0.810925655561189 1.49922177893472 2.71920557120489 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53912559362952 0.810906469554576 1.50273522304094 2.71961199511791 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.540069338287353 0.811575520789244 1.50755164999275 2.72530463804069 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.543359945398296 0.815711288429978 1.52518290267353 2.75876476017985 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.544665609005976 0.822624907780149 1.5333818069192 2.81514198217903 NURBSSource NURBSSource 27 278 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587216130031362 0.918733147058201 1.5103669000792 3.74867301133649 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.58720375476394 0.91894601354607 1.51035391483276 3.7506865300596 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587347693133545 0.9190687089845 1.51105660939427 3.75198417319802 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587440406460616 0.919502390544666 1.51154252505865 3.75589713949275 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588932693497399 0.920579910937832 1.51901039861648 3.76683006243951 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590244689930838 0.921546277392757 1.52573763608052 3.77505849476997 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591114557647212 0.919036149016592 1.52993407382625 3.7504096615846 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.59450064818052 0.919703915396892 1.54711095706749 3.75480080876978 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.601100461229239 0.920491806192848 1.58077791947493 3.75975855771158 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.621284750067548 0.921466226535094 1.68696802914801 3.76997967725515 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.631112750075487 0.919239361019073 1.74175278999601 3.7636780971408 NURBSSource NURBSSource 27 279 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.614157072828831 0.958664323635922 1.60918799339796 1.80136533376078 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.614303301606539 0.958712521993633 1.60993021819764 1.80155001993124 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.614465475558819 0.95885657907786 1.61073215635572 1.8018695570968 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.614695832234327 0.958915877295407 1.61187593278257 1.80224558976796 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.579249981667853 0.957203702719913 1.44252058439018 1.78761100659649 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.580028979236826 0.958542711680559 1.44616210222265 1.79095741905351 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.61420850419517 0.95882806724575 1.60951955116585 1.80114756662309 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.614089412243587 0.959071231836669 1.60898482343539 1.80125343100015 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.613879554828796 0.959542333546896 1.60806588914724 1.80025821169747 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.576327831708337 0.959397349205309 1.42936800134283 1.78123757582546 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.574718360335749 0.961033941874486 1.42213006871291 1.7783728317825 NURBSSource NURBSSource 28 280 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.83110892728185 0.546762971880135 0.954744921038819 0.79568671336368 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.831582576559672 0.546910474248643 0.955618319733685 0.795977643166019 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.8319322687567 0.547014639448987 0.95671133787133 0.796153717196511 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.832399007732116 0.547275697637373 0.957919987328935 0.796654966119948 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.834673305457845 0.548356073767797 0.963672053592894 0.798583332594709 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.836612015471689 0.549313824598753 0.968756335423198 0.800378054641813 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.828998636463755 0.545541863023999 0.952250526759072 0.793797900939392 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.827108638082532 0.544429800689292 0.950026882166346 0.792056269501324 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.823109201818683 0.542036856690838 0.945802829808214 0.788383131955325 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.808363332259962 0.532802359417937 0.930188213780923 0.774477837557002 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.796778901169802 0.524696393972003 0.914513062425092 0.760234857657921 NURBSSource NURBSSource 28 281 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643279355306578 0.594002054761244 1.66158660857667 0.53374097308145 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643184086265461 0.594223695823771 1.66114172074608 0.533736088407969 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.64325028579548 0.594438035433347 1.66148320887894 0.533907555510247 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643654826884674 0.59482402528528 1.66341470211008 0.534107259893041 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.644672005095395 0.596475666629733 1.66851870303802 0.535238889987415 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.646744831068611 0.597788770345442 1.67822469475036 0.535606692304727 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.644053251451236 0.593636900155099 1.66593585268383 0.533543612418429 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.644930428607088 0.593343003348329 1.6705728146279 0.533286500820281 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.645950161431176 0.592338989509521 1.67659045586899 0.532313542157168 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.647150856145131 0.58994920553444 1.68383198008532 0.529731778826049 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.648581375239035 0.592627116414037 1.69092538533022 0.532491581852012 NURBSSource NURBSSource 28 282 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.723175872525597 0.766343232251945 2.38033287911416 2.07706600297969 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.722633298448189 0.766431870218576 2.37657195882332 2.07773527066707 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.722120991915347 0.766515086645723 2.37293499431295 2.07838903136023 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.721082380856408 0.766672436959253 2.36558232518559 2.07955722193155 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.716925277514036 0.767361597494422 2.33585566216152 2.08420514797756 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712820824997162 0.767972900285791 2.30664523087663 2.0886200801067 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.723902928463403 0.76635075873669 2.38596957160938 2.07529366099157 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.724665244110397 0.766523447610739 2.3919793540966 2.07500882123497 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.726205631237742 0.766623525039557 2.40291261587912 2.07149293485482 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732853982961432 0.767350370731038 2.44306433556699 2.05062422504601 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.738009318573628 0.768272726087328 2.47389570854057 2.03064789988432 NURBSSource NURBSSource 28 283 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363563539296237 0.553593496933179 0.560204066962287 0.487500267880725 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363532886131736 0.553595109224501 0.560105257776629 0.487440789743169 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363468237095226 0.553592946563823 0.559880867346186 0.487367558251582 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363425099913789 0.553556443966703 0.559721824512692 0.487209939632398 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363351130158924 0.553388662585962 0.559470913548541 0.486763226363333 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363350490689067 0.55324624556369 0.559535909991699 0.486457494110611 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.363849527277605 0.553992368958475 0.561137849829202 0.487691578244122 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.364239290651911 0.554338526383921 0.562473642738209 0.487797473908166 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.364974600204299 0.555009890386307 0.565023754725622 0.488009026140663 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.367629018423551 0.558478485731839 0.574412627242069 0.489788804342121 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.36935271056849 0.563377987047012 0.581192956107183 0.492946767476928 NURBSSource NURBSSource 28 284 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387635463539698 0.353220317213494 0.515606360564361 0.336409578953879 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387447950650852 0.353381821528646 0.515199734835232 0.336274550362231 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387301455921964 0.353531400510213 0.514914867450366 0.336116435543793 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386949292811044 0.353829369129535 0.514266374549654 0.335771253565949 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.385590673970067 0.354802920916264 0.511644233432036 0.334464646259134 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384291742612087 0.355934802311591 0.509352975124043 0.3332761080945 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.387395076491622 0.354022559935942 0.514975501840879 0.335972189272537 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.38714881139549 0.354864384439685 0.5143328797875 0.335512958662463 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.386659036986561 0.35658065527744 0.512978472562547 0.33459346745567 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.384894077872988 0.363888945008983 0.508671660892038 0.330870795014401 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.382918190928045 0.371261037084162 0.505090664252098 0.328485082484778 NURBSSource NURBSSource 28 285 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.481689762815316 0.518797774464489 0.29934745257593 0.363357234683086 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.481561649357908 0.518729334411818 0.299312240484381 0.363464893611831 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.481434555616315 0.51866272083154 0.299267205434926 0.363550785694504 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48115132077591 0.518663182723875 0.299153204979612 0.363825915578473 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.480056209886877 0.518404864460975 0.298965586343246 0.364658677369533 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.478872548864908 0.518232956945839 0.298905070957879 0.365291114180003 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.48153096298398 0.518870173436173 0.299484416078847 0.363531001062757 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.481327418914558 0.519325167931882 0.299650536890118 0.364007702280129 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.480892184528255 0.519352421262625 0.299931543853067 0.364585066349109 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.479351899271033 0.517786223348108 0.300931522953279 0.365942411707878 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.476552701711604 0.521829990964281 0.301815324574098 0.370673241856604 NURBSSource NURBSSource 28 286 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561031066522859 0.670493493494778 0.705119369194937 0.834109623792715 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560846584617498 0.670515920343732 0.704673495509855 0.83428635623976 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560649135077456 0.670531225224775 0.70426392691496 0.834492148553486 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.560207912172589 0.670625910757337 0.703253183130734 0.835073031067031 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.558728715826395 0.670681442904098 0.699756609700891 0.836319408437645 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.557100327726992 0.670460432184018 0.695902675122506 0.837150377570844 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561061004922282 0.670335436777758 0.706729789565022 0.833671488151667 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561065611633065 0.67010836772671 0.708437533946156 0.833141831897335 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.561231165507663 0.66943489185482 0.711920380329138 0.831437793957837 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.562342088768752 0.667013003558417 0.726217924623889 0.825621756360888 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.564423185474212 0.663120434612691 0.741314613830648 0.815612329612481 NURBSSource NURBSSource 28 287 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535351767356812 0.812570907825547 1.48327078827375 2.73297473571261 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535359453672681 0.812859343485605 1.48352328981819 2.7352361926533 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535314706136345 0.813099076268649 1.48344785053906 2.7371652269768 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53525469648281 0.813649776576613 1.48347094007365 2.74155134350669 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535205381134649 0.814949576472239 1.48435835661007 2.75266000119793 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.534986954330513 0.815489105885371 1.48403647945103 2.75873706501507 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535471071646012 0.810984337448271 1.48364057277049 2.72138717089508 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535443968071096 0.810029539530043 1.48330095389484 2.71437323071841 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535386966571943 0.808618457783012 1.48264708376755 2.70441371908877 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.534307611670321 0.80477288185297 1.47660569539095 2.68602626116703 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.535243342847814 0.795822322508702 1.47951634486553 2.63855823391703 NURBSSource NURBSSource 28 288 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.583680821536571 0.920580467427023 1.4922594753571 3.7617990264483 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584254439778927 0.920767059227694 1.4950986498843 3.7628240964424 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584608016004518 0.921084986501559 1.49692506389208 3.764931940299 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585404091372221 0.921775318439382 1.50105481570316 3.7696030043813 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.588813099629247 0.924732908351673 1.51839774555001 3.78920564452239 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.59254622043133 0.927759938253634 1.53738224339566 3.80951905088397 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.583175734594346 0.920575060701596 1.48993334109904 3.76511376851364 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.582618327713831 0.920613020767813 1.48735541440201 3.7685783202188 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.581991136918842 0.920320468514418 1.48453907006793 3.77273628187692 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.581094072260098 0.918098799456302 1.48070255824165 3.77562321185362 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.585506345003219 0.909598511431136 1.50284256799976 3.7247346087453 NURBSSource NURBSSource 28 289 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.576469913774971 0.952408857289831 1.42924687398931 1.77126583437791 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.576255991180042 0.952597299699333 1.42823577857181 1.77144007484625 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.576086354719224 0.952806067932939 1.42744085800763 1.77170591280669 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.575583909039626 0.95310822639913 1.42506586750894 1.7718115472881 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.573956181441915 0.954487159671422 1.41742668133524 1.77302438731285 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.572452473632397 0.95584172735953 1.41034176534624 1.77401811691503 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.576842004706303 0.952027408648288 1.43099138982186 1.77112232878034 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.577317213680444 0.951752583531865 1.43320940241058 1.77139217881967 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.578106165314906 0.951063278328593 1.43689474879388 1.77138595097289 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.580998870498021 0.949456531877251 1.45047580217468 1.77211040003885 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.58304535909554 0.946317364824122 1.45980674672385 1.77015990002581 NURBSSource NURBSSource 29 290 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.827015270376975 0.512874804914299 1.02542277272483 0.935984378726535 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.827948696215913 0.514253242326239 1.02604305128349 0.938610414221414 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.828832899451846 0.515246148763362 1.0270610720083 0.93821481272419 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.830620574918487 0.517274611546884 1.03055325005755 0.927367062637317 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.840201045596443 0.521450240142094 1.04313021506293 0.919704933090785 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.851938778415141 0.523887012967746 1.05833322118819 0.899749493150798 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.827539041361707 0.503420618678886 1.03547850900785 0.901525911723935 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.82530396936811 0.497242695472063 1.04419828981468 0.878953234854931 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.822074092072787 0.49022720766164 1.05412875997124 0.866980636632457 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.820337550111188 0.477742673795052 1.06498296930613 0.844181162176408 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.819123965828739 0.471555090809528 1.07719566623166 0.831498882884433 NURBSSource NURBSSource 29 291 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529278912763858 0.704524480210652 1.15207276241551 1.09418716157543 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.530861802651856 0.703758113898691 1.15799498634475 1.0953855911003 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.530485637132952 0.703110017603183 1.15608091905526 1.09584744655716 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.529709600527896 0.70179302230826 1.15221986933838 1.09634937263126 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.526363537484674 0.696338097821495 1.13549831848377 1.09818874606226 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.522848726733989 0.695601734513718 1.11854661241999 1.10300593898065 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531499186069834 0.702769509409314 1.16153950749056 1.09241753039095 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.533719341465408 0.701429153583325 1.17098535305702 1.09233626130924 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537998765456268 0.700038691559842 1.18921399593872 1.09312574281827 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.550343582583963 0.69151879793886 1.24516106729419 1.09160351069901 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.562652230166767 0.688297910126155 1.29239140612121 1.10118101144883 NURBSSource NURBSSource 29 292 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.645167595348981 0.817167106895478 1.74415578786097 2.64303348019293 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.644276606005686 0.817333974217682 1.73839678522213 2.64259392655233 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.643150842687709 0.817599826610311 1.73152919632401 2.64271958799123 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.640873295941375 0.81815657959964 1.71856581044671 2.64383535148596 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626276410584588 0.82108457078055 1.63941829926757 2.65566579253016 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.619699287618209 0.823357714233648 1.60397794036291 2.67860334754509 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.642794568323057 0.817710100430475 1.72530430017493 2.64174752412422 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.639723530919358 0.818562504982351 1.70326687027452 2.639708013222 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626638411654263 0.81977863605991 1.62534965807526 2.6271979624917 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.604327891521494 0.822756203463212 1.49067007861081 2.61963171230827 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.584083478642598 0.828584197568371 1.3713140019981 2.59229440576696 NURBSSource NURBSSource 29 293 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322268145723671 0.51463750363139 0.435791897065771 0.41120227875343 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.32236787290159 0.515033867674404 0.436056436371631 0.41097642297497 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322421681343013 0.515390478931193 0.436193886436169 0.410721954857734 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.322305736022233 0.515984846157125 0.435826160076413 0.409908802544328 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321215366929435 0.515238937408065 0.433194699730732 0.410199303072823 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.318706053891643 0.513688913512235 0.426766073752965 0.411214122326224 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321869374693343 0.513902921955592 0.434795375064744 0.41225156980077 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321753372442006 0.51302250504351 0.434666641640336 0.413620902619414 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.321965043429455 0.511783257251556 0.435063917945931 0.415907791369157 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319645696924163 0.512252917087554 0.42665225228935 0.424962806941505 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.318540530260404 0.513526286848955 0.424932520051955 0.438786767833131 NURBSSource NURBSSource 29 294 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.359711352259445 0.459471822933892 0.473510684201104 0.671153491579693 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360376757955071 0.46029269742675 0.473670805392967 0.671860004377419 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.36078528051843 0.460806324454471 0.473488373148172 0.672743238837804 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.361514051242604 0.461557159917568 0.473138707160396 0.673680836292491 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.365466360788256 0.458438417673462 0.484922652605716 0.681932796948359 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.369886643034048 0.460507607843793 0.494626225536052 0.680141417603865 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.361545140201657 0.464748862988571 0.47369455091998 0.670428568463599 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.359556183307112 0.459559072140103 0.46996977216385 0.682877206029823 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.358852564499795 0.459080329264559 0.473659305833228 0.680927084033743 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.360685651964688 0.456921199327731 0.502849829708683 0.676405960161009 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.371861832986203 0.454168983080362 0.539009227844008 0.664733342616417 NURBSSource NURBSSource 29 295 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.512932941185919 0.504130282883097 0.357927021577158 0.43170480434411 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.51313569440744 0.503414773353122 0.357799110731196 0.431603814606065 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.513233548886468 0.503249166305049 0.357583676607205 0.431792925815149 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.513686879191052 0.501894625158352 0.357390516651897 0.430986030089344 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.512034223513215 0.500979635222776 0.357233675811414 0.432123840527904 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.50663307938263 0.504862695986755 0.356725186865311 0.43897279699388 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.512019366007347 0.502911989807994 0.359325862819047 0.429189483725746 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.510368155412973 0.502980710112087 0.360015483986562 0.427979019414212 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.507004469453004 0.505353625397315 0.360760807795158 0.426207859822912 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.494795118152522 0.508443004433938 0.36573982620604 0.423156327390105 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.492118451066328 0.500393651766828 0.360373859696675 0.427671868234875 NURBSSource NURBSSource 29 296 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.624527194230358 0.780281485998881 0.707825314433134 1.3300331774699 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.625171627242385 0.778239869787132 0.71096837436677 1.31954862440149 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.625719154448904 0.77620045903428 0.713675672517802 1.30876504392957 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626900648370935 0.771713369733097 0.719498071572254 1.28685217724447 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.624162831884438 0.761993115792871 0.750741863224409 1.23108079292529 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.625660692205936 0.750376465265908 0.777695812443809 1.18055093693729 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.625852585693233 0.780667413112697 0.712914377886997 1.33842689779585 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.626682425922118 0.783121319284553 0.708638011490964 1.34751441233071 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.629142252569949 0.781700090054412 0.701356572887305 1.34522488024259 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.616977631379688 0.781841731701168 0.684375891534427 1.40303431532059 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.619480372586453 0.769801550752779 0.663857981422521 1.36899621794809 NURBSSource NURBSSource 29 297 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.634141548826429 0.699207059088004 2.00498801098981 2.00836053188227 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.633468630015915 0.699132684239477 2.00147030289448 2.00775710760795 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.632725766444198 0.699229070243747 1.99758335621183 2.00821402788165 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.632520902769852 0.700632848925269 1.99710943080372 2.01583861487822 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.634621190748774 0.701716826910034 2.00911640536332 2.02294996533302 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.633707280376349 0.709766040839408 2.00584240715222 2.07408701287824 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.633733966539117 0.699083667983355 2.00211232591124 2.00790242810227 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.633421711630504 0.699112107844913 2.0004739879057 2.00823125672792 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.633033348139943 0.699824155149009 2.00015907290169 2.01092978597703 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.622519514573352 0.735926206790622 1.94959072134575 2.24390296725313 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.605097777377061 0.768604332227243 1.85230425512689 2.46571090626892 NURBSSource NURBSSource 29 298 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.436128254740564 1.01083334668332 0.778868427554648 4.63040031999857 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.437932053109346 1.00924352757876 0.786120587451229 4.6164299235178 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.439081834795748 1.0082549819311 0.790775192630301 4.60595106356268 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.44090386100686 1.00568716050491 0.798314795725037 4.5798973739631 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.447840361758908 1.00381980459075 0.828391685898575 4.5444224790755 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45702336375002 0.999979402573409 0.865776680976737 4.49518976097183 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.441138067422341 1.0101452247655 0.801606560968657 4.62629247157747 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.447663417780319 1.01052921526581 0.830597911321418 4.63359754930526 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.46327955361155 1.00882861265642 0.894993026686588 4.62736456049986 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.504492767067251 1.00696710178827 1.06722378505487 4.59287534359238 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.517849334558601 1.01682753855963 1.12622413816872 4.64179141096542 NURBSSource NURBSSource 29 299 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319368775186122 0.910023888483067 0.445567017864284 1.56861265656926 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319435065057301 0.910264984373357 0.445618053283775 1.56928528418999 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319328310014576 0.91049132063744 0.445141862461689 1.56973169752997 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.31895484720784 0.910773766958435 0.443733784633479 1.5704018141751 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.315358158060768 0.91066124108231 0.432616881054219 1.56929050008993 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.320660200513716 0.917076013525479 0.448620967592084 1.56909162653765 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319679984927953 0.902557467321578 0.445682908875267 1.55033893159644 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.319472431156502 0.895217401431476 0.444562303139091 1.53215291710469 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.318693756795777 0.88345217235466 0.441433795665534 1.49831579506216 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.328925968039583 0.854610138814754 0.47344843886609 1.46025020736715 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.336537146359984 0.831684180210182 0.498104958731516 1.42014460039421 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934354995331892 0.871452051594232 1.0002422349267 3.25518752035237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.9345282511079 0.871349404824633 1.00011845778078 3.25437138159332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934663638858761 0.871164075517181 1.00000881963127 3.25284968601325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934657397541567 0.871174206234042 0.999926110777487 3.25308201940851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934613424040465 0.87103327493113 0.99961960581334 3.25200394151677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934575649500379 0.870687914994 0.99927679433238 3.24906981186832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934481576567553 0.871176125867864 1.00000686645331 3.25256186442169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934599163913794 0.871182701199805 0.999887634666151 3.25240161106247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.934833708471639 0.870723732718775 0.999438367011055 3.24797708681274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.935805764312556 0.868889148952614 0.99851948394061 3.23194892777978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.937093699704727 0.866506769264917 0.997829731291748 3.21107382183429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90656355341198 1.84549119678994 4.67361776129549 15.355991817292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.9065861769354 1.84548894682638 4.67362630557617 15.3559436214569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.9065173431884 1.84569060970168 4.67391100364756 15.3592994689454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90639269569942 1.84569103478809 4.67372799827238 15.3592380637283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90658485684774 1.84576801865409 4.67408032994783 15.3608509816576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.9066457372532 1.84576855307174 4.67428950371704 15.36111242899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90657265484117 1.84549416481319 4.67365450545006 15.3562082884571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90674466713139 1.84545960777952 4.67387814987457 15.3554618434222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90693730620875 1.84558342449132 4.67443473273383 15.3571952235247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90624127856838 1.84657496891461 4.67531928410656 15.380650137348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90553329277574 1.84784631991186 4.67639717736763 15.4129651180065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731822260712776 0.661879347264349 0.996665333753852 2.44200656563339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731815885872236 0.661856069684279 0.996708152201004 2.44186448189282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731814086483173 0.66182514489853 0.996752982395493 2.44166374809732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731733614905224 0.66195759601054 0.996740428510178 2.44254769219258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731513143014716 0.662278814245952 0.996244072006333 2.44474342715327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.731484833835271 0.662078515860155 0.996818467967238 2.44369166057936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732192409302581 0.661914640153739 0.996407062919994 2.44235035083471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732657552576975 0.661849511481245 0.996035219238833 2.44202237295493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.73346028049541 0.66150349661796 0.995560365212117 2.44006403108994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.735313305404196 0.661530942181983 0.994331762259736 2.44407954431125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.736468360483711 0.662938631915036 0.994721615492435 2.45957643743415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.861480571263317 0.777959066223187 1.00625381722464 3.3572626036923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.8615038675171 0.777925498990106 1.00624555921902 3.3570197170129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.861503622298068 0.777922920048233 1.00622759656077 3.35701876209217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.86151174312294 0.777903538958198 1.00619631928459 3.35689708881969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.861697561131107 0.777726177537715 1.00588197490621 3.35550527934572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.861880716799374 0.778320101066368 1.0053690063315 3.36024029586779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.861606876014689 0.777895419653465 1.00623600961934 3.35684270960963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.861749113336121 0.777684200309474 1.00611378608592 3.35527093628914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.861803552143689 0.777906774750918 1.00618858734471 3.35701302892248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.863360139683903 0.778544316721925 1.00579063602823 3.3623582447407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.864628680587506 0.779116183001322 1.00586176117118 3.36756585988828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25906351987335 1.20157217389642 1.75815515434501 5.55247745280135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25905522658557 1.2015974973041 1.75818569787712 5.5529933551539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25904149143733 1.20166827888235 1.75820620075295 5.55409758829554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25904847076428 1.20173952709132 1.75824238690942 5.55547948467667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25888515039537 1.20186298209289 1.75834984287014 5.55792901472048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25873219226318 1.20188118260128 1.75852961158893 5.55888393420936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25926100813959 1.2015684416229 1.75799320059534 5.55189338098953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25953260177463 1.20120186571218 1.75679652020371 5.54726576581009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.25987038928369 1.20115127115349 1.75657263413339 5.54555253639304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26102670303192 1.20037470128251 1.75637577617676 5.53480336288466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.26049655944237 1.20060120719955 1.75758996803844 5.54014529796614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868706910822837 0.851877511204775 2.03477061743734 4.37129175815042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.86868135709547 0.851908268628635 2.03483679210685 4.37042727441782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868659331431026 0.851945707765786 2.03488916357519 4.3697446709772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868604849739236 0.852032594521266 2.03491533613115 4.368903018787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868766329289596 0.851845622553204 2.03491682269604 4.35911669026418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868921354182251 0.852055961111016 2.03506267019833 4.35321443980724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868506833261041 0.851813459617425 2.03459573976657 4.37437462448918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868321775576711 0.851796461303009 2.03444449653508 4.37671751757938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868380269106534 0.851489375709122 2.0340228703341 4.37325171967932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.868178842130103 0.851390956627742 2.03475760618303 4.37745818512835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.867605169889401 0.850993842428424 2.03093360123311 4.37590268540811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00417429613482 0.955476954568309 1.09893430350596 3.6503526057558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00413472611051 0.955552104041355 1.09900922733168 3.65118386552788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00413415199286 0.955491268769969 1.09894413023817 3.65116756130349 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00397515709184 0.955445604455411 1.09881233744501 3.65132115035881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00375056466961 0.955611489548848 1.09898456037555 3.65375839847756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00334616300862 0.956105878454533 1.09921522352175 3.65810774620685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0038388775617 0.955650035946585 1.09867837248481 3.65220124501942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00342754300516 0.955745928934488 1.09839218214314 3.65332295881548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00297545709474 0.955742859925701 1.09774090820996 3.65325986730236 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.00159607378551 0.956426949567314 1.09684833722704 3.661352320992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0008821982817 0.957145732027277 1.09654767482866 3.66977087863909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30495087131262 1.22071871073029 2.27298778435132 8.20774489845355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30499248462795 1.22084852524329 2.27295128739451 8.20910048787127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30497031811792 1.22114233911876 2.27286699522196 8.21201179413311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30482636346385 1.22165358520453 2.27299709540992 8.21713155249857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.3034769432564 1.22321665778511 2.26937378943291 8.23309903969198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30336619443522 1.22486560212381 2.27041435299387 8.25439541576283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30501585657147 1.22084778124622 2.27299439708929 8.20917332152531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30391350795879 1.22073157585176 2.26464644733298 8.20433943270877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30388890341656 1.22109039580048 2.26526935697308 8.2081273716192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30423885351574 1.22116884222121 2.26314140078756 8.20964537504672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30187153063868 1.22291441045924 2.26215632578388 8.2176500496211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746489671471056 0.708236183130588 0.862512799430906 2.49858339071842 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746454856541989 0.708281123587059 0.862514925449633 2.49908257471998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746413907803158 0.708334797794786 0.862516439085427 2.49969742146635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746358175687403 0.708405974257409 0.862522582800808 2.50059967461067 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746255504076319 0.708404127888479 0.862491408960114 2.5014673271608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746314186133123 0.708569768487501 0.86271488046359 2.5027260989201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746493357699544 0.708227087471873 0.862524395617213 2.49876911317756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746691550228898 0.708054698912674 0.862867242392948 2.49785591227667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746696739234239 0.708134306609455 0.863011282648718 2.49912897774991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.747455641445882 0.708106606106458 0.863821576597284 2.49989947865521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.748070930296299 0.707854796507616 0.864153404879783 2.49906054805895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.662288741865513 0.613661090916011 0.461381245036547 1.40869124081642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.662054998482338 0.613708224964446 0.461240090780841 1.40952409003539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.66193712309942 0.613719504007546 0.461011103903213 1.40971497331751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.661825492543728 0.613865133750868 0.461031117139371 1.41071742448804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.66199410633349 0.614242842257949 0.461280574110938 1.41304431869125 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.662083930593569 0.614604672801854 0.461329528714497 1.41573190114741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.662410645921596 0.613300325132432 0.460770599620189 1.40684816036212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.662583809225971 0.613610849668385 0.461036340752708 1.40878709731394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.662880852333141 0.613882245540869 0.461057674789412 1.41047211541147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.663795597468082 0.614587507593569 0.460741437207448 1.41529298145023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.664845209637241 0.615263906445658 0.460448841886574 1.42026961412484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.897133993078584 0.831883178043733 0.975075892052128 2.90789468262713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.897268430533792 0.831609143504861 0.975190051924932 2.90617874795038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.897098859466841 0.831870913568888 0.97502394820696 2.90891204292374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.896771961590885 0.832376600713013 0.97472974327582 2.91424988178396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.89484116565645 0.834683708538985 0.973633027589969 2.93930325314159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.894217827941598 0.836094924635817 0.973374647946241 2.9536146391439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.896835380509629 0.831954208123497 0.975749770542358 2.911363574735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.896542378562559 0.831989289313856 0.976441544904737 2.91413332776023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.896301520247321 0.83236161271107 0.977770967417528 2.92019643988688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.898649463656848 0.833380354131718 0.984288067138028 2.9348415529176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.900217470541329 0.833684635853329 0.990121335795604 2.94820030473685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.07027112641775 2.03355159428535 6.08182789245664 17.328230456299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.07012977330819 2.03365524421746 6.08039772484226 17.3347730247569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06994613530729 2.03387237820907 6.07922905956514 17.3434515780314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06949330649214 2.03426992006446 6.07670763131812 17.3610402950931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06740890768363 2.03470284140838 6.06661048774328 17.4027376980173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06613679075738 2.03346749445677 6.05829674787431 17.4095081667949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06980031092476 2.03514308225386 6.07874507251645 17.3827340776882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.0692949208977 2.03721508024266 6.07647411465289 17.4537616351232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06837103727049 2.03806785684586 6.07140053190655 17.4911735935522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06673784613405 2.03857879997634 6.07269320205859 17.5093978642378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.06709408331029 2.03005059969927 6.06036246258286 17.2760886026936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.94742692554018 0.896350642639649 1.80719583317014 4.03659156223988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.94726836292509 0.896768020023633 1.80630213682197 4.03813424471103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947187816167438 0.897075166118229 1.80533612738278 4.03855218808081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.94753590374631 0.897680262107714 1.80419757809935 4.03875020939085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.948928122743849 0.899735308606305 1.80365733452808 4.03979682338527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.949781235661858 0.902200263380842 1.80499131475318 4.05039351507959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.948263285711991 0.896917844976115 1.80925992805798 4.03717489390178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.949349382608102 0.898860061154449 1.81100194526433 4.04392613649405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.950373147531063 0.89948889145534 1.81455052819206 4.04728187623987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.95118691606547 0.902799865929221 1.82439036384012 4.08147587294086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.951130393859455 0.907208195364777 1.82913781959024 4.12227498009285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921104249036287 0.755844022336726 0.937594083100995 3.04561918370385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921461913294203 0.755830587912382 0.937891267143819 3.04528651792112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921569802316636 0.75585902001549 0.938075847064129 3.04537513388736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.92157297244777 0.755884438723595 0.938302021927859 3.04550121505014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921611263676468 0.756637468824122 0.938425250904986 3.05006835654169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921815063817924 0.75721234044162 0.938503652773278 3.05303864111554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920903422499625 0.755583656626039 0.937371990192439 3.04366650196554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.92074089062631 0.755850173586646 0.93739530155222 3.04607934460171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920998257549743 0.755575362112313 0.937197134530907 3.04445881122214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.922172127252211 0.754956308636229 0.937525504560818 3.04308497190068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921937002050437 0.756648548528014 0.938209374763534 3.05976464838933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21823772888918 1.0885813238992 1.44372209741269 4.64379884693001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21823360241869 1.08859653369424 1.44377208046117 4.64365747249303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21821933217835 1.08861085519482 1.44385096070055 4.64355063320109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21832915001862 1.08856940923524 1.44390563809667 4.6423831536338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21829989791903 1.08755714443771 1.44429553914715 4.62940300317346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21840591128919 1.08721352230649 1.44481697773776 4.62309999704256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21816130016853 1.08855765011742 1.44361943146254 4.64406346820186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21801635085681 1.08862103608971 1.44361404295785 4.64521865685679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21767107410611 1.08877354592889 1.44360169406532 4.64787709091068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21621431249727 1.08926071281914 1.44399414569377 4.65651415820857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21554689135582 1.08880747523051 1.44665607919736 4.65481071884078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.950693388443342 0.914367110468551 2.17781777884796 4.69104432216523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.951286186853983 0.914284148641678 2.17930727887994 4.68952350236599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.950942116656461 0.914293976946576 2.17863465487005 4.6922777322803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.952549018150151 0.914271661479277 2.18087841994893 4.68486793738073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.953917274181062 0.915320456831351 2.18139771034439 4.68492360330016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.955547528367251 0.916236227767197 2.18309051213479 4.68766033341651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947311712463993 0.915029822817114 2.16863167041064 4.72874567622245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946704812561112 0.914930042656671 2.16785551279322 4.7359919505479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947355559744026 0.914994152072479 2.17027024129855 4.73899334124644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.948644853526121 0.916914696733318 2.17795760693555 4.75731435532797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.950727822618163 0.918031461160237 2.18379544957046 4.75778200126204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980106146682732 0.911273541513851 1.04830287193728 3.13131682734542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980161754178423 0.911236673480889 1.04829981670062 3.13085176230281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980196450146577 0.911212573649544 1.04831663501007 3.13057511582078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980239828025466 0.911205329117402 1.04840632525877 3.13074010002534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980309696254473 0.911051906313398 1.04850015438562 3.12881889261307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980338719977438 0.910909305370143 1.04859730808795 3.1268884924291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.98042813453767 0.911083884007282 1.0481908416073 3.12879055225766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980646670431222 0.910909142199132 1.04808687651661 3.12652766564865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.980877214928812 0.910677159886026 1.04790310930895 3.12403136869782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.981811669805053 0.909583663688692 1.04702539846593 3.11165965588499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.982185227767298 0.909301776351296 1.04586355726011 3.10828836827354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30991771749913 1.09108064715707 2.23934424486369 6.94037258563474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30998172451046 1.09099879465507 2.2393939520113 6.93964476360866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.31006743828933 1.09090527376896 2.23942495880065 6.9387695250961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.31023074137098 1.09066111137881 2.23945469601618 6.93654984864576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.31060007691618 1.0901625612838 2.23969201999212 6.93269931286166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.31140252938684 1.08933131270895 2.23987116009026 6.92552693691526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30956198655488 1.09085279492042 2.23947841372501 6.93851339165643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30945349657708 1.09017081847068 2.23801622881569 6.9315076433277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.30959419201008 1.08820856871259 2.23806336679407 6.9136708632152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.31068111212964 1.08359021424643 2.23790545816796 6.87251997053392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.31156341611166 1.08075171034916 2.23758059153753 6.84770081107284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755480259553991 0.73878181895933 0.867171968884359 2.36273078499693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755503686438584 0.738724886635349 0.867391332916916 2.36315760784051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755486862130511 0.738688723839206 0.867608309700887 2.36373166898807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755341422238414 0.738691402702535 0.86806965662071 2.36568971142433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755541210389236 0.738908771191431 0.868780300900939 2.36789099638127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755872364493023 0.738932097680354 0.86956293266923 2.37125826217677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755328211943719 0.738798647136784 0.867609991645485 2.36346795778057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755506371697684 0.738815494906697 0.867527520783012 2.36402396065275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.755897672611095 0.738615465950194 0.867639336663763 2.36301243874237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.756651853133039 0.738461601756271 0.86676307699199 2.36637979095903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.756832737869208 0.738215199184923 0.866066184074035 2.36955388314397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712997549763089 0.620478966098163 0.518823196148116 1.31243300116919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712755665822096 0.620517259661865 0.51872528412722 1.31268977819726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712508678132841 0.620558128795172 0.518579201744271 1.31298608426149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712035830870408 0.620616325786806 0.518297919132994 1.31342770420146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.709960514795612 0.620999045987914 0.517679036113331 1.31749622181521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.709367755448986 0.620927361348453 0.517065077047064 1.3170751946511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712948368761923 0.620498875678041 0.518917470693874 1.31322933639431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.712808849187924 0.620727684546707 0.518620711709477 1.31516035229843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.71303718315113 0.621438009542638 0.51813506607061 1.32041885797712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.717433566525406 0.625057509950687 0.51557174558539 1.3414032231642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.716350949589389 0.625777619363532 0.516677449906281 1.35049132069144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.94857038108565 0.879326897814593 1.08763478817797 1.17152857073664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.947501637343188 0.878264340911652 1.08914251119806 1.17544328281576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.946488317690076 0.87717745115712 1.08852927128266 1.17626336317505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.945672338894253 0.875807456068902 1.08624060719658 1.178433147812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.943553877881589 0.872767513281526 1.07886191417446 1.18778525046702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.945260294139943 0.869733690647633 1.0890846951576 1.20471208804835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.945729049559827 0.879749308371007 1.07599412291008 1.16695652830621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.941368271414963 0.878547444849407 1.06395415664425 1.1622784687447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.938345485405943 0.880565606434418 1.03422574019624 1.16862734272417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.967338930279345 0.882978121424601 0.954878646452541 1.16583974178319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.982006114174955 0.888999872929096 0.985153267924724 1.1517015548815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.0177659066902 1.36430206594837 3.11933484587474 6.2054641854018 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01802789159011 1.36443867084309 3.11980144168098 6.20446230645272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01829591452184 1.36450698506816 3.12007190767457 6.20269617587337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01816725760063 1.36475588354786 3.12032772000945 6.2045629963047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01787421204736 1.36686547050468 3.11937017736019 6.21311831109219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01973716999434 1.36868253350853 3.12263988021589 6.21086847466683 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.01377326435236 1.3624474451558 3.11920346306255 6.22699620140411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.010806440884 1.36124030633928 3.11591132337499 6.23791185427579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.00512323927516 1.35734794197098 3.1101627329106 6.25008105611969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.98333603094591 1.34268510735836 3.11141537188027 6.2563796851487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.97802807788528 1.3469014192132 3.1100510923917 6.36458394169139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538734687429575 0.748129613027012 0.701402700278105 0.969131687936478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538552966025355 0.749317386333682 0.700598997362684 0.969918091535677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.53838151323265 0.75012681839255 0.699739244854707 0.970523405304328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537944456099564 0.752596752969201 0.698458942007878 0.972046105523688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536518036980417 0.764717053368264 0.695847201962053 0.977466920100579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.531967556489498 0.804112143942209 0.688798826545251 1.00915704482017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538421480212401 0.745337974864983 0.699265743665499 0.968961606460786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.538179969489037 0.739617651004441 0.696855345615471 0.968321089506154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.537680344744451 0.739476420541822 0.695298239593028 0.968297801082033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.536115909354897 0.738097300889492 0.692618112293098 0.972863553057014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.533947571722264 0.740401350872761 0.688437386171569 0.974894471272091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411439003355793 0.367847651382358 0.536469215066867 0.240558994784976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.422510934775858 0.36718497917754 0.575267250603383 0.236612680765972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.433155619143891 0.366390441816893 0.613760352400347 0.232609826684111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.45114873012122 0.364582561574026 0.683502166451322 0.224986409250208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.470133978347036 0.362588317610788 0.787926536828429 0.214208467756598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.42465375217667 0.400537079067732 0.372154100094415 0.21102041543801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427924637762273 0.366765902188834 0.594802683876829 0.234307530747673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.432793675881971 0.366156657805336 0.612140555521228 0.232088672798595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.430109151891435 0.365854191711016 0.601393293465643 0.232431307740378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.395900937330244 0.367036810447106 0.486134177959517 0.242945004235882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.364862498259704 0.367909683120346 0.39409088895124 0.250278732140507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.13618436252257 1.20651890372006 1.39219117823313 3.22229784450554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12984766259384 1.19910669519788 1.38178899626556 3.19738280085011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12905037836832 1.1982114622899 1.38053162604654 3.19464817025925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12855702240177 1.19764933051771 1.37950522533555 3.19332349108388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12945139102251 1.20041810912918 1.38372252845369 3.1976796329266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.12957295860207 1.20128049982404 1.38504028843888 3.19705106209994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14492682187811 1.21827283888336 1.40795960798388 3.26761083743895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14509186859516 1.21844467316581 1.40843940547287 3.26802144966476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14477380449144 1.21791218953611 1.40918632321096 3.27435132737476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14528949602457 1.21742467029043 1.41960551189505 3.2917531444826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.14247649344581 1.21272972939248 1.42820194847234 3.30158600324949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.747649027760555 1.4157860448133 1.53490519769021 3.75770364433239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.747437187669806 1.41495192824934 1.53445690757379 3.75706760782056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.747143772483871 1.41429314220333 1.53437418481893 3.7566750668587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.746698099480292 1.41283296666922 1.53482981395303 3.75504169416971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.745855057115227 1.40610526502352 1.53472717341006 3.75622736709502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.745839042381649 1.40476268848598 1.53277746418221 3.75312499111221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.747017341832943 1.41258146357636 1.53489988374534 3.75287171065794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.745865699925576 1.40358696918215 1.5340111512195 3.74886624363373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.744300189296388 1.39931514437511 1.5313434000633 3.7443208563836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.736811866879337 1.38780801919672 1.52010325674834 3.73761380957378 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.730305222771045 1.38718375999993 1.50659512070549 3.74062844070161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987322566329738 0.908502024063743 1.33462500611301 2.00476004762186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987382945531111 0.908577007275489 1.33477649853716 2.00508462613983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987409126716555 0.908619356727895 1.3348697508446 2.00550852343401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987514266080574 0.908737773410663 1.33509948453768 2.0060697336997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987228692153241 0.908319874673056 1.33596046062171 2.00923517250968 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987155834657953 0.90763204704276 1.34268156897759 2.0135852322059 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987664009928935 0.908967935898518 1.33449395899214 2.00548611368375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.987902913916874 0.909395045389672 1.33388641152098 2.00620675562141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.988317277407161 0.909985845478427 1.33434032702339 2.00902611386319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.990868468925099 0.909949107908754 1.34027405684728 2.01706695493338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.99463743028438 0.912892686012294 1.34601668723555 2.01852460143827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03160530613135 1.22847061486735 2.98270236810204 2.58702999053883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03141222576191 1.22826497866437 2.98291453297006 2.58713408722692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03122517736776 1.22808366655838 2.98306800506934 2.58726528102922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03061761296235 1.22721745388264 2.98395641588959 2.58778275366047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02930264371625 1.22672389988771 2.98460104411702 2.58712160427871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.0286129430717 1.22616048166298 2.98504731789751 2.58867598018406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03145162486493 1.22794017587378 2.98240482486563 2.58742484579036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03143415310792 1.22759704709783 2.98172163345834 2.58741301178819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.03045111736898 1.22594589740874 2.98149131211307 2.58766338317106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02735433073521 1.2182602455505 2.97867224630385 2.59113453028806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.02464666595194 1.20862828529905 2.97350131242027 2.5989573265095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21231852264899 1.44042038767696 1.32673099948232 0.557220731629882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21248346706238 1.44047512866197 1.326984734455 0.557144304440466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21266157663707 1.44050958010616 1.3272112489906 0.557091799083584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21306468557657 1.44049498050187 1.32764944937036 0.557028298822564 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21499141583128 1.43884351324283 1.32911770112836 0.557330630703835 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21603115612447 1.43064532867115 1.32692540958977 0.560206702487999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21553952970936 1.44071248386237 1.33159088373142 0.557112063459829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.21897880037527 1.44029175629917 1.33658380023953 0.557182262854322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.223939317178 1.4367521853673 1.34584194740873 0.555464947826619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.24347372386532 1.43588739618884 1.37774485097432 0.551453093120673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.2654708171089 1.43470138005684 1.38192288224182 0.547443683967772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05962378028204 1.17896149982858 0.961862894972743 0.325695518883055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0593428809793 1.17863119721793 0.961684299127637 0.325541754740912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05922381174586 1.17845374523047 0.961598261225056 0.32546119202612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05913780795396 1.17826639903462 0.961584900409918 0.325362702117207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05894875991642 1.17773724477181 0.961459768429932 0.325115293604356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05908553833353 1.17741535948932 0.961332286588083 0.325177443963073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05997838086849 1.17894940467404 0.961823821559477 0.325823901271206 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.06010687451712 1.17891378458115 0.961457133018263 0.325872107909116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.06033966945875 1.17840799378279 0.961206560223625 0.325928358770647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05938267840828 1.17078478206273 0.962938953408854 0.324448892859723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.05914621459606 1.16671861441035 0.960447231906049 0.325632848680497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920095923626123 0.795597797518408 0.845703203202456 2.5559758147552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920031721192045 0.795695517599543 0.845632526955612 2.55656425149229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919966989751882 0.795781342345994 0.845570489217851 2.55708016085232 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919834427074398 0.795948967092444 0.845448312284968 2.55805243463521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.919281307433556 0.796727398795136 0.844939764205631 2.56281401874173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.918738629948771 0.797504288450308 0.844465564439959 2.56777377755557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920221345127136 0.795566377640112 0.845760151884302 2.55565715587956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.920343877378657 0.795547147619828 0.845831029849702 2.55549220209802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.92059996703383 0.795533830378449 0.84590785805271 2.5553048185653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.921743438156362 0.795415560601572 0.846278467559819 2.5543465056539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.92314637752871 0.795342879486112 0.846225240318927 2.55541274118669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.859630848154677 0.682460875996713 1.73846827435043 2.48031918223515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.859543780073333 0.682535782936938 1.73840209209181 2.4807832711857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.85944657124548 0.682590449603605 1.73833639896848 2.4811704492406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.859264132695525 0.682718698940475 1.73820491509308 2.48200284551085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.858556936106654 0.683318604779789 1.73772915211639 2.48558600922995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.857890419258903 0.683875704991246 1.73739723888415 2.48905970030734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.859504483875279 0.682389655615983 1.73837280872868 2.48063129697708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.859292308808969 0.682370437225179 1.73826331065432 2.48133578516719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.858437421120778 0.682749766149944 1.73762801391773 2.48420115227489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.856979135525694 0.683410522659511 1.73708058197596 2.49293125441463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.855899089163825 0.684432672772034 1.7377144983919 2.50294822959677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925433708101742 0.871436038734016 1.03897233249643 3.03692757331891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925432839998293 0.871483620630568 1.03888083225467 3.03723988357913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925431886550018 0.871521318475392 1.03880835914367 3.03750437054576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925429595601742 0.871609674078842 1.03864262397012 3.03806812828331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925387681816023 0.872015741320222 1.03793370473889 3.04084133992508 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925336673626366 0.872445771738269 1.03721895935017 3.04374566220311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925372471894847 0.871627207699531 1.03882318355811 3.03857339531711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925292631377604 0.871846484167813 1.03870179434222 3.04051552481405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.925151039531864 0.872284545400141 1.03844561236144 3.04441372635547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.924669596428415 0.874030563541188 1.03751971846348 3.05955359961189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.924320743854212 0.875723599418073 1.03670312508754 3.07319688963261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427246132791166 0.387984375899266 0.200866302628423 0.55613753160622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427210399242083 0.387990037172189 0.200858572037788 0.556177533473158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427181323190304 0.387985602436482 0.200847405137129 0.556179230452288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427119449403897 0.387988913116094 0.200832836702405 0.556223174802447 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426871702481518 0.38798728438528 0.200777074207643 0.556379878238513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426650721021588 0.387897548990952 0.20072650001774 0.556287441048838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.42726255727876 0.387943576546515 0.2009087498038 0.556083893438913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427293587483723 0.387879631023321 0.200946477109543 0.555945790330961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427352576696235 0.387759998585984 0.20099798457637 0.55572700023521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.427726878569077 0.387019940908008 0.201081399203592 0.554285182799821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.428723454154093 0.386097733535052 0.201300956939886 0.552625353595058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.707876338206484 0.398393441122889 0.418983754323769 0.816506082867356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.707821671870834 0.398362083625371 0.418964598352601 0.816293930289641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.707772439497448 0.398328017091112 0.418947256697226 0.816017554601734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.707632712585829 0.398274218679989 0.418901593234336 0.815530320914551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.707107270679175 0.397960022500657 0.418777629853056 0.812985044122768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.706689531850973 0.3979823258117 0.418651615739211 0.812045012990871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708135268693077 0.398225993257943 0.419043224037665 0.8158355702185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708407737412044 0.398067200805113 0.419092788151297 0.815257602181561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.708922300470636 0.397652038083489 0.419194958688265 0.813567560976689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.711532350123067 0.396285318543886 0.419833594954729 0.807612731669192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.71449653730994 0.395579017310518 0.419720973549561 0.806691288626017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35129125060862 1.15678350237402 2.65190451947473 8.36563463438656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35132198334555 1.15679113279058 2.65189954579831 8.36572872062481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.3514503720107 1.15708350005814 2.6525979172182 8.36897451507875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35151089382278 1.15708988987917 2.65261764909206 8.36906562375761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35225983821936 1.15684987514375 2.65467524400998 8.36868932416973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.3545808503929 1.15731558263321 2.66875879424984 8.37247954848325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35086421466725 1.15620399152773 2.65082063750358 8.35871001637586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35113289985185 1.15653203010733 2.65121997074681 8.36229661829614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35082858162853 1.15718575006629 2.65159175461272 8.36871572366862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35157193267835 1.15644181618095 2.65454744695751 8.36570723667912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.35171797320565 1.15632946277332 2.65892309643259 8.36824774062776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212925946890841 0.315142371207399 0.0556968787218616 0.166093563835104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212986104090313 0.315109136068694 0.0557410352891959 0.166045056447274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.213039695900089 0.315096488776752 0.0557818967923866 0.166023355832544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.213142874235623 0.315068026425366 0.0558648348480536 0.165953550630231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.21357180784201 0.314881375957907 0.0562057038329452 0.165679343661646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.214048656222328 0.314626932773916 0.0565605579025306 0.165357963768847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212728534737605 0.315005636195688 0.055548831512921 0.165985059351269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212556731567196 0.31484321347442 0.0554062325416916 0.165834258297276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.212234615318847 0.314416177807313 0.0551353540568809 0.165553079993677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.211266248253303 0.312463810747109 0.0541445691933457 0.16416513577338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.211359640527607 0.313521646750311 0.0538364981781938 0.164465043653987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17066935109585 1.0012595791609 2.27371802059402 5.75322180655364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17072235048063 1.00123697137104 2.27376305560504 5.75292951901362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17080540307489 1.00119282282031 2.27380040661841 5.75243205999224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17091598236039 1.0011543995052 2.27385084519352 5.75192090738777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17139508363547 1.00087969597098 2.2740460010026 5.74876127459739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17120949985733 1.0002087256112 2.27405216538954 5.74075219198137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17061670380029 1.00129011267539 2.2737582308691 5.75342241079209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.17022003018326 1.0024555718641 2.27298237768932 5.76450677811068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.16999118116588 1.00267470540869 2.27310492535914 5.76627093540485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.16798269278489 1.0045097106029 2.27377424635093 5.78175263450076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.16659610371625 1.00518828834132 2.27632361909197 5.78605391339702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22686947786061 1.01817516877265 1.76020805426756 5.79518228359356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.2268168203882 1.01821084530224 1.76020980857494 5.79555719594027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22677387354768 1.01826978612471 1.76021247087269 5.79614755693667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22616272281072 1.01805991652239 1.7599850987845 5.79392334534529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22582545213403 1.0185332843792 1.7599583959383 5.79885980265295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22552581724692 1.01849756582623 1.75910268216312 5.79916401824014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22623793283578 1.01770194682015 1.76011228024167 5.7904236375301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22617776792351 1.01761467213344 1.76021057102033 5.78971807402441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22607401614472 1.01685896506832 1.75955897990654 5.78315439993905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22562313122285 1.01709014066072 1.76100093317978 5.7893764871364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.22428783137091 1.01803011761401 1.7627574085919 5.80185188073243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207215439280074 0.21415730397076 0.0562942823037039 0.0555889329088494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.20723841129566 0.21413878319249 0.0562766753971995 0.0556248314077132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207259905096581 0.214117291871201 0.0562592175452296 0.0556652683978928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207299426034589 0.214084329065674 0.0562326962417927 0.0557339062088186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207404083617817 0.21394256814841 0.0560765820921943 0.0560039356508803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.207418456468845 0.213648318817636 0.0559337650943283 0.0562135803608513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206950823977205 0.214013219253418 0.0562530193981762 0.0556877319841625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.206605890218792 0.213853057013333 0.0562003049896733 0.0557848530382748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.205876240038913 0.213425532018097 0.0560567560924425 0.0559525125705808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.202782766147353 0.211924372351133 0.0552936005350921 0.0564779406290863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.201131397017579 0.211264960431731 0.0545736756689652 0.0567269560310052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807222122830969 0.782438279667857 0.885266066977113 2.1746369411124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.80720848863869 0.782399146220589 0.885423771239487 2.17433415860003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807197219166615 0.782370998202418 0.885589799471663 2.17407828633523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807138285364666 0.782307413814854 0.885880572288208 2.17352569701929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807023342192196 0.782019376278927 0.887204756298461 2.17104900954879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.806888111243802 0.7817077315886 0.888494525545027 2.16858048278969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807285430143784 0.782331953068582 0.885577026899732 2.17339244666543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807331022148526 0.782225958006308 0.885877019680532 2.17206766047936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807444526490713 0.782054554915689 0.886638323790531 2.16994637436913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.807806566372828 0.781432617126178 0.891004450262213 2.16272444759698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.80780500425449 0.780841852254883 0.896305550581358 2.15717369770638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652111100532325 0.619562428611214 1.15227928725107 1.93722973109002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652154408165911 0.61951494540511 1.15228208169129 1.93734147156938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652196940226978 0.619465670305053 1.1522914635188 1.93750617711191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652276991128503 0.61939158938902 1.15228592656184 1.93774341503593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652539952270527 0.61913946735101 1.15234194998415 1.93879404074592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652744174592601 0.619012144992197 1.15237208443267 1.94003501645637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.652629093943764 0.619026972196818 1.15253226661227 1.93808026428394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.653181285079582 0.618508994552644 1.15280144610305 1.93861861329332 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.654162051198442 0.617636741027277 1.15328827111866 1.9402748053629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.657961587453901 0.615338396550864 1.15538728303898 1.94710915017079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.661378940708934 0.614274503598787 1.15791839968693 1.95461636336368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732754340906392 0.596778517124907 0.796825275511239 2.03279329733368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732829432758022 0.596720676510747 0.796808935768293 2.03224670036184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732894395666903 0.596654047189514 0.79679986153685 2.03155898903502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.732911143010708 0.596480490617608 0.796598594884612 2.02850730315221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733419546883967 0.596048300104642 0.796473096897429 2.02481635108335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.734327897968697 0.596683198475953 0.796638504150921 2.02820761065374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.73314371264056 0.596813392043917 0.797133910962985 2.03384108037619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.733394212608784 0.596841836836226 0.797393586884962 2.03455056900109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.734259250305241 0.596916210708382 0.797896821823814 2.03663049886484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.736970341390386 0.597339408951776 0.798073877163419 2.0418075053277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.739631580883806 0.596455280070576 0.796876291836057 2.04646848778028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636048829128439 0.908101209458192 0.719619668744581 3.37419428302396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.63606360419255 0.908021549052426 0.719527700495056 3.37349543703725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636084343401302 0.907938309706962 0.719419736668147 3.37277142090521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636128659672483 0.907788336264277 0.719181168061711 3.3715070677913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636292911718206 0.907247909141366 0.718316620721784 3.36699291572336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636436698542607 0.906835635113361 0.717572113209899 3.36350497036787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636023823511146 0.90792526294458 0.719160166624392 3.37241520460006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.636020326050992 0.907717888454843 0.718709325446532 3.37031184124928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635977747740894 0.907340144530067 0.717811502198433 3.36648777214876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635792433435015 0.90591972858707 0.71445050582299 3.35233652945828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.635595319059339 0.904651929752142 0.711486397262491 3.34003271067326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45070707120184 1.12031435661065 1.97840986176651 5.43529271820303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45071722413374 1.12030829366723 1.97840711767675 5.43521708769051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45072055661813 1.1203015970847 1.97840635218925 5.43520473072616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45069219223184 1.1202365458663 1.97830533442311 5.4347480226816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.4508471168402 1.12013359868415 1.97853485180566 5.43467034964344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45086877685939 1.11997420778862 1.97834607924127 5.43447667205861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45066693840803 1.12027382692938 1.97823215239906 5.43487709217159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45069468831458 1.1201957582414 1.97830038677598 5.43467702816788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.4507065460735 1.12013030768725 1.97806392989963 5.43519905248047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45094062221304 1.11965070465113 1.97796577839406 5.44163634156022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.45101971997585 1.11866259068306 1.97808569154457 5.45370022210958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676421511953921 0.754295036374963 0.322207737876424 0.686215645693922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.67631591870717 0.754312918213327 0.322188397430554 0.686350260811847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676218926336517 0.754332977563985 0.322164451408573 0.686484952085039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676015614566952 0.754354302344549 0.322130067432078 0.686747849985587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675227912962737 0.754265859808729 0.321998398977856 0.687571036802913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.674400738125401 0.754103181797073 0.321875789473365 0.688289863879366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676121192424972 0.754235280966781 0.322262842790395 0.686269289261675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675779714956304 0.75414595343455 0.322363349884773 0.686313011566784 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675253330864307 0.7538594656496 0.322534270791246 0.686239629226819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.672773516429659 0.752204157858118 0.323270038679463 0.685345589190524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.670263222578565 0.748994083072416 0.324020655552887 0.683352803890609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.28282398210939 0.220268423122297 0.143810645522705 0.11321334540053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282761543124803 0.220382485086347 0.143748390030154 0.113205165772788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282707314448899 0.220490190211367 0.143686120230239 0.113182424224068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282584114690857 0.2207087873061 0.143557750511849 0.113149260221743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282095567562226 0.22155870180093 0.143083893227034 0.113052358114552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.281605484409425 0.222410007729701 0.142614771925697 0.112938769827213 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.282914793483588 0.220240830466277 0.143909943898952 0.113441295186198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.283023144768097 0.220237036125662 0.144023627375384 0.113761176622365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.283188175099418 0.220267431651398 0.144256878985492 0.114520434506965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.283305620074164 0.222240357853825 0.14556985524087 0.121371854487503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.285404805137321 0.226112749343244 0.149824862092931 0.133913858957223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.268841387424902 0.160277210947916 0.124863632963525 0.0458200890303878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.268884939458395 0.160087555688691 0.124877497486363 0.0457483051013037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.268937472892119 0.159900066653603 0.124897386134953 0.0456765019572929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269062075001168 0.159477785353763 0.124945359285655 0.0454986623031828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269571969915214 0.157791731370854 0.125149067797933 0.0448262285780622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.270112555040189 0.155979571061629 0.125343365912675 0.0440994353638592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269077032488616 0.160130844178986 0.124936989572826 0.0458708670883659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269297242046005 0.160015925153048 0.125008474175695 0.0459401418175723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.269819967368123 0.159675179604726 0.125169297453894 0.0460608494111133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.271653129665153 0.157802746800751 0.125458866252433 0.0465019241232169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.274040211588468 0.155347385698433 0.126236111371001 0.0470559107184406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91836998431299 1.0099588593729 2.61970686497784 5.65321036256646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91825914685717 1.00996585840108 2.61970742827286 5.65360150540928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91811899444603 1.00995978377069 2.61971309153903 5.65403532081371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91778566358965 1.00986318318825 2.61971946465552 5.65444609563584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91537715082396 1.00966070693665 2.6198509539656 5.66085455093736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91363866355519 1.00983048677838 2.62000399144385 5.66892340885769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91355360632506 1.00997261752542 2.6191783735244 5.67051599556284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.91101067182876 1.01026376756649 2.61911246271655 5.68084035747926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90776691544982 1.01079745424081 2.61890152377987 5.69444792663787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.9040193725453 1.01247701823215 2.62006372695801 5.72317778662556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.90195529418901 1.01415581761398 2.62158580889186 5.75040427772795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166874759997866 0.212039418995787 0.0730739791749996 0.0541362595011805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166864224579529 0.212003100364406 0.0730813886405116 0.0541573656885641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166864807846035 0.211986646475071 0.0730951881668396 0.0541811639347035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166832120032418 0.211896852743384 0.0731066396772154 0.0542234474037074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166759197848371 0.211586741623874 0.0731909077510737 0.0543957977845937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166674017114719 0.211234641763164 0.0732850377635411 0.0545642497636253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166868120863944 0.21203563382387 0.0730778818198463 0.054155576241983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.16686219854126 0.212035308242475 0.0730766867694736 0.0541771769681192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166862972547645 0.212010430230467 0.0730936240901187 0.05421181591376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166849993751966 0.211929087420459 0.0731486169462456 0.0543581190661792 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.166872263740875 0.211596525633564 0.0732867888999951 0.0544297593012601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795996227340907 0.849973382775667 0.230764961033231 1.12111878070569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.796041567118298 0.850156251152041 0.230987527221933 1.12134705705558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.79518491195963 0.849349318981292 0.23181648338324 1.11961669743412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.794772635136975 0.849327299660364 0.232079172093415 1.11991249981515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.798825987295771 0.853503357919721 0.230611214982012 1.12953306678572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.796317206380864 0.852616009657462 0.232489197908684 1.13079034813058 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795740226449234 0.851504100286238 0.230248138597116 1.121219788336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.795276354748137 0.852564116242521 0.229594834600508 1.12092558933501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.789289349545601 0.850425732100943 0.230803326713277 1.11307597521081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.758133805588461 0.848362369168956 0.231196380384657 1.10594280433547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.730268910639068 0.837387530221959 0.23429733747323 1.08147983565653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0465219403548 1.85524987935655 2.24312023703958 11.2738560117081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04653728015242 1.85554257425743 2.24311946292497 11.2769125069275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04671637474765 1.85586645291317 2.2433180817804 11.2795026048643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04703233381876 1.85681381851134 2.24324015235321 11.2844793604189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04730640143891 1.85891492155352 2.24538362522917 11.3214140957708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04749010570891 1.86188035863818 2.24803612053312 11.3786303389137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04599558357997 1.85525421707973 2.24200485085075 11.2914279286926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.0453011244863 1.85540959557318 2.24108090730308 11.3149455654031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.04390565876115 1.85577680913689 2.23957503417838 11.369816265069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.03803519390758 1.85801159597528 2.23278316667419 11.6485975409791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.03305756719506 1.85818610168526 2.22667848688204 11.9232308151215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46421152565071 8.78720913092591 24.356069375725 0.430822580755124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46422187396531 8.78716328261131 24.3562763898955 0.430832418418123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46416149475183 8.78710874609446 24.3550891558033 0.430846560819075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46483548070689 8.78630054946524 24.368348484444 0.430678536549056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46373810430239 8.78460637811693 24.346750150202 0.430797549858808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46187301160576 8.78038870115064 24.3100443376775 0.431078772424006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46186118576307 8.80421641744277 24.3101627333502 0.433225819783429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.46148133463947 8.80644370676861 24.3027042303584 0.433405514092104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.4616711043024 8.80939045395963 24.3064389854224 0.433509640734093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.45890001160577 8.8042890101394 24.2517909804267 0.43377502912147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 2.45837645823498 8.79532497362255 24.2412460717714 0.433508382203374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59048968125976 0.716372894102509 0.0593689936816907 0.514528625801814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59094515782916 0.716815490073837 0.0592799789733248 0.514426998308079 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59132691910238 0.717254907845719 0.0591922523741298 0.514343379989052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59213356366471 0.71819215946775 0.0589714526348789 0.514189931244344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59469999912006 0.721656825293159 0.0582701317203984 0.513471318499176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59638528161342 0.723186990452956 0.0578680344612089 0.513067690977292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59079559991581 0.71245768246542 0.0598246966217827 0.514534133205545 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59108242927037 0.708225655544632 0.0602269705202395 0.514594552003098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59173167580954 0.698261364211659 0.0609907485127775 0.515060248003811 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59666103926857 0.645386921251708 0.0640914922961431 0.523752029289381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.59124195261959 0.611108495217625 0.0646911721304734 0.540860667163393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.40956258742221 1.85925252155594 0.793484727226516 16.2334887927154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410002760012059 1.85925643804648 0.793480056069383 16.2331991013094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410465128848161 1.85924719967687 0.793461234902935 16.2326759037119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.41144219489926 1.85925609402564 0.793482363574221 16.2321489341387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.415371802296664 1.85951971609236 0.793630846677786 16.2336591302783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.419349861215098 1.85948520228286 0.793941405361763 16.2305549306956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.410744789477492 1.8589693692685 0.794212950367505 16.2296558098646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.411996259957025 1.85858580031044 0.794936666307139 16.2241998427961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.414736666901538 1.85801738815338 0.796549449027782 16.2163784147002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.426704854824427 1.85711022103282 0.804327464713532 16.2056312424928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.440702685705579 1.85787038212714 0.812387887489892 16.2162606255754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.61903566356543 0.893729629753003 0.408995157716784 1.23944327756245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.619109802661237 0.893718677668824 0.408933253584991 1.23983048891631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.619208803104733 0.893687152426617 0.408984147176192 1.24014974270779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.619306383172235 0.893604703414155 0.408975317903473 1.24088481557598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.620132161857664 0.894176884187064 0.408990943150192 1.2454658849856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.620754353911215 0.893907435654934 0.409008413275263 1.24745146713594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.618946015938862 0.892886227092097 0.40939477673229 1.2377716649237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.618883013317111 0.892096483948782 0.409699682022299 1.23583427006306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.618684095952597 0.890922251073211 0.410402507081241 1.23282459659482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.617547515761429 0.88320418122817 0.413492519928316 1.21120532485184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.617018873895261 0.874436908065626 0.418525980870223 1.18347690859948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675575190542778 1.27538736358956 0.740511516165992 9.80763544159492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675603707808839 1.27505344478924 0.740418184880643 9.80346970045496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675660609654339 1.27476413100192 0.740366469009139 9.79989529030397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.67572502621593 1.2741207928305 0.740153828468108 9.79192505349399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.67636135026921 1.27287933769433 0.740232993351728 9.7780027504628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676950837555103 1.2700782423192 0.739620567449831 9.74439622449386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675712506941568 1.2758167085503 0.741248439164599 9.81454290685203 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.675830450324023 1.27616272366097 0.74186083575754 9.82030768438724 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.676931208888951 1.27926962275921 0.745285921755802 9.86536639422608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.678299571093648 1.27922629193391 0.749036872832432 9.87193116361229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.680039477583194 1.27979431121865 0.754091914028843 9.88452496583442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10116005444683 0.989493835449999 1.51013930521709 2.64677623930371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10105227418956 0.989495720833708 1.5098172488339 2.64696039660037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.1009692074675 0.989480326916992 1.50953932069311 2.6470940558453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10033611970694 0.989482784637931 1.50757593218961 2.64553902334461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.09966238406617 0.98949342218855 1.50551599835828 2.64747260248559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.09787446768468 0.989491161160526 1.50184408808251 2.6555626118693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10137399184519 0.989472198191316 1.50990909485127 2.64756738303942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10186799344497 0.989380973101244 1.5101963473147 2.64650465603483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10285679608856 0.989272584552557 1.51073144580347 2.64529523325642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.10648441334553 0.989015484800165 1.51209455999293 2.63883401785573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.11266768037495 0.988878199178906 1.52014911819953 2.63681043797843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79539187866211 1.34783875064866 3.22179755694841 7.79537955697176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79559751178734 1.34786248771864 3.22222108289807 7.7944394660855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79566130758195 1.34767028839379 3.22194019052016 7.79497664358733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.7960805741567 1.34770512870559 3.22275045016324 7.7941385976249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79782338956264 1.34883738162453 3.22700745560577 7.78806574751089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79989644071787 1.3474825346621 3.22982615082329 7.7924561439157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79524503121321 1.3477702046648 3.22061203090206 7.79597556399199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79501644909542 1.34810630186523 3.21903524736129 7.79615522356749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79480600684618 1.34801789934411 3.21699345414185 7.79828580944748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.7940016984498 1.34627375976058 3.2086347959801 7.81842088955108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 1.79360611621389 1.34507380255422 3.20254854144276 7.83988753292598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590640434457926 0.731685786175183 0.0484817521808485 0.83146204481423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590640784298182 0.731517479135985 0.0484242001188419 0.831392530145959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.590816072636839 0.731258876293816 0.0483015080555916 0.831088681306559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591102370560163 0.730818360892457 0.0480920317973643 0.830590265190021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.591811626949939 0.728887360890018 0.0470020972405638 0.828867659621537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.592727190048981 0.726670147681394 0.0456404906753508 0.826852148508588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.0025) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.589088347397223 0.731408724203171 0.0487977099518077 0.833288513880179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.005) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.587216322636841 0.731138961759998 0.0490919311227182 0.835265013178195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.01) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.583775434457925 0.730559519867693 0.0494740331246488 0.838996652930533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.03) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.571483656557225 0.728067423131314 0.0493666441451385 0.852843812499705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (0.05) NormalsMax Pottmann2Estimator(GridRatio 0.005, ScaleRatio 0.5) 0.564877768131715 0.724653121037848 0.0480862765599585 0.862116549485713 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax RusinkiewiczEstimator 0.00352075785916936 0.00106171379894721 3.04739800298955E-05 3.8425601413785E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00657801648010863 0.00331043326303419 7.90751232532977E-05 3.55665649960698E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0102907271579687 0.00632182253428119 0.00022328318582314 0.000126490792707332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0183381321999381 0.0124140521084739 0.000826483007991557 0.00047549344536845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.051696780298239 0.0375181204423112 0.00751109073742987 0.00394492248920367 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.083530676696839 0.0644217735449348 0.0209152687103179 0.0107117041944105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.016552435759937 0.0106620620041721 0.000661876833865911 0.000346151030910102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0315159869093599 0.0213795054162874 0.00264752306989109 0.00133525544150227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.06102603068617 0.0438421694610037 0.0106324246377978 0.00522476330133829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.169938477902757 0.146590632676714 0.100802489242975 0.046529193352885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.276772931546056 0.258521038739311 0.3019681563886 0.124664999419587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax RusinkiewiczEstimator 0.00392923545907199 0.00613258547747031 4.26467090960787E-05 0.000234730896699309 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00643407413634462 0.0082614967376754 9.03710433847875E-05 0.000319590568223074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0101825575599703 0.011444812081279 0.000242974827740695 0.000517601920699347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0186081101480273 0.0189077927883398 0.000895748696819673 0.00123410424661963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0539340185725129 0.052505900055439 0.00845090535278289 0.00825342113507773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0895396258058654 0.0873551889820002 0.0244973663515271 0.0216165695435129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0154186106664117 0.0168020577947096 0.000594136534773067 0.000997573621638107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0292672141262672 0.0308994848806551 0.00236783733300538 0.00302831725300994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.057681172192371 0.0604282581816427 0.0098519348305651 0.0107767993213672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.17445464287424 0.184241258684056 0.100229199307778 0.0909432150474678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.295969742992721 0.317845396860376 0.312572973086134 0.251454496327413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax RusinkiewiczEstimator 0.00907052518519559 0.000241430353330392 0.000274905775716166 2.5205290517883E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00994091028380885 0.00314573514555338 0.000319302824533037 2.59654885597369E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0121122512784114 0.00628502769204409 0.00044212849089429 9.98399711130315E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0181418873053842 0.0125480419829834 0.000940325547114016 0.000386801916614532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0475941813362478 0.0371884009885176 0.00668606893379691 0.00323646673465315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0790269066597262 0.0612898095573814 0.0190218195565092 0.00852714706345697 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0148420535434514 0.00946239280695705 0.000617011685382499 0.000240150406921007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0241173443606428 0.0188552326512975 0.00161933192395827 0.000927331416184152 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0447881365750798 0.0373125302969944 0.0058509331191954 0.00349421379488623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.131323232040747 0.110052499945014 0.0565255091686823 0.0270911246664225 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.22158232929116 0.186933961179725 0.169638376020818 0.0701953500801988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax RusinkiewiczEstimator 0.00645380243724656 0.00582740292183864 0.000136207386082912 0.000222094976812917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00802957063025987 0.00815206400124682 0.000175757500956548 0.000329205264158574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0109584505258888 0.0118845962247363 0.000294838979751478 0.000588612371595855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0180604819435736 0.0206096370891604 0.000797858875023424 0.00153731529066937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0489085895439434 0.0582632140824699 0.00661715188879006 0.0108254084191012 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0810163682123502 0.0962346779744444 0.0190734706314711 0.0283666412067976 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0153091963339706 0.0164744242543298 0.000564214649419965 0.000953459634515651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0268167948527753 0.0301783973098595 0.00189052201856303 0.00291357850019072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.050792247721339 0.0588003009326251 0.00735746418921871 0.0104030009326207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.151173035597839 0.176151437316343 0.070693797228448 0.0856116819860099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.255577918689773 0.29763509374528 0.211634805288907 0.227348397951522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax RusinkiewiczEstimator 0.00812179552107262 0.0027772110495055 0.000198514802142828 4.85982124225112E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00940023609387782 0.00619318712418017 0.000236706599781301 0.000144757584994627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.011804818515457 0.0111182178262481 0.000345723448012888 0.000401964540338569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0176631455568108 0.0215608465129908 0.00079199410166064 0.00138249632422376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.044890591610135 0.0640316458518408 0.00598124007194328 0.0112928299416434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.073743948831992 0.106642746707974 0.0172660566156002 0.0303953275753503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0148206929549444 0.0176193054852199 0.000573040619356932 0.000968834870197994 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0245957311330404 0.0348452601438656 0.00171839776797435 0.00355485360673695 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0456003780218476 0.0693365294889297 0.00650163550621214 0.0134866967031758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.135909357642489 0.203488272683532 0.0656807463405199 0.107033274713127 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.240907657875143 0.332840143000624 0.216892326847344 0.268103418063137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax RusinkiewiczEstimator 0.00425949008959345 0.00249605957561651 5.30427312838662E-05 4.07745512543671E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0054898309961698 0.00523114990737526 7.18837669181707E-05 0.000111356285290776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00761886103174592 0.00922286220713296 0.000126821360656088 0.00029698235794475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0124412197965444 0.0178592459798304 0.000353114765384229 0.0010049053794175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0336275102188757 0.0534995431119492 0.00294574217546224 0.00826942817531853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0556876162406187 0.0894509383874075 0.00849534602824958 0.0225123288905105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0113592835552452 0.0149222525922161 0.000293321280859547 0.000740271894841512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0206298435525329 0.0293096709811381 0.00107497123622795 0.00269932758625243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0400513209070062 0.0581341290496361 0.0043487305189823 0.0102562372104406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.120254373981657 0.169109481793777 0.0426563500205581 0.0817964756531475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.207843412097052 0.273323015087735 0.137059535489858 0.198019894013788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax RusinkiewiczEstimator 0.00146625094089887 0.00524754219981729 4.49023988796238E-06 0.000147801703113755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00549151829673685 0.00665639565974345 7.01681274436792E-05 0.000194478569349453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0105133994059544 0.00911122672239881 0.000283977235398216 0.000310463293229203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0207344090762052 0.0148268596797215 0.0011693022147481 0.000723715292638048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0616812634171479 0.0413115876263331 0.0108468532820108 0.00479737043373629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.101925315439466 0.0691134044376066 0.0303232261371586 0.0126816548462522 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0165055762099478 0.0117179640705705 0.000746609757232357 0.000483951135785525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0328263093434444 0.0207167086843359 0.00306692169622451 0.00135289397232302 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0651921093217641 0.039818175490488 0.0124592572425122 0.00458067719606917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.1899862342037 0.122563714783404 0.111480640479365 0.0387283201584745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.309239632079006 0.214137080046674 0.311797592468683 0.11191714808288 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax RusinkiewiczEstimator 0.00302020901955823 0.00409957982067029 2.29396900594592E-05 9.49015685518907E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00558890267790778 0.00564226550521156 6.82819841574682E-05 0.000142743531110338 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00939556333597539 0.00835001499820023 0.00021784021856833 0.000263719372203893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0178139113935622 0.0145311538572711 0.000858037035454062 0.000701471624789305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0525006383581109 0.0417736898576867 0.0081058551118832 0.00504568873577835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0874545561807924 0.0698602609191131 0.0230886958706655 0.0134590981265611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0157730981890363 0.0117700778295462 0.000625997724571723 0.000470646971863586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0308623163470432 0.0217982393314151 0.0025645489923247 0.00147184254513031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0615308542485446 0.0427678655087829 0.0106577996342277 0.00526628280324387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.185993612633539 0.130125346503003 0.105870181743459 0.0432316588410517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.313566130603201 0.227297141920835 0.323002387176249 0.121135063133478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax RusinkiewiczEstimator 0.00632938636636004 0.00639081876294051 0.000129883307579419 0.000269652097150632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00813975992475994 0.0084833182176307 0.000171583286925815 0.000365568580562484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0112445326030735 0.012089721918513 0.00029749616116555 0.00060032781000254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0185453517526004 0.0204569249243633 0.000826273986649608 0.00143433358980157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0503616885482743 0.0570708394671883 0.00682014525770905 0.00960418233820617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.082704964762846 0.0947439129134747 0.0191865632319112 0.0253450108078776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0164563128720993 0.0184726066045811 0.000687043166588147 0.0012362940085189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0298584927938315 0.0346294103755371 0.00248906563865396 0.00390143429653611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0578409115558848 0.0681971924353121 0.0100809766262305 0.0141414099284423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.170928342124638 0.204642338886488 0.0977487697152452 0.115797594527384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.28846139918115 0.344499836409243 0.294263384547184 0.302819689216057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax RusinkiewiczEstimator 0.00760684287202709 9.39906243190338E-05 0.000134012381741216 3.88320042183771E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00900194307908816 0.00374050610025035 0.000183633715816975 3.61801206191835E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0119463525877368 0.00747553054331516 0.000334400470301729 0.000142536004570037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0190727653968663 0.0149339254967321 0.000955785526597203 0.000560409093358335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0512425959318727 0.0448583124932502 0.00814884130361773 0.00483746797913407 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0844788973135222 0.074987432013511 0.0235969539749911 0.0132067332503991 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0155612225124353 0.0107842097985232 0.000602424302504952 0.000296346613936977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0274251231309649 0.0215406840795668 0.00211620150286209 0.00115266566595606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0533594649256515 0.0429757293365899 0.00872129089513174 0.00440520613031674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.161516033793695 0.131502051711105 0.0914448836330545 0.0385865451887185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.273571182355588 0.228363914628068 0.284196512086018 0.11367738911417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax RusinkiewiczEstimator 0.00206522640643438 0.000745390743525922 1.00950249390312E-05 1.84857680958297E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00484853360911972 0.00231773990036436 4.35500538351336E-05 1.54699522270729E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00841616586747951 0.00446748609047466 0.000150853790563433 5.54585909114283E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0160175620231116 0.00885636750043646 0.00060375401228394 0.000213235438154826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0471298364006984 0.0267212904278967 0.00567829794703228 0.00183812756929683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0774473010548337 0.0453856643838835 0.0159157526418353 0.00495408483306138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0120315690490976 0.00715558307068717 0.000332705667175958 0.00015182204085612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0234805817468217 0.0142377452978439 0.00135971370676716 0.000587848701919051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0466190990131933 0.0284269027878028 0.00563805859930701 0.0022554566414655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.134567205212962 0.0874240579077025 0.0529765104577247 0.0176939596988739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.216022401860672 0.156886505319352 0.151566394579202 0.0467221840174378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax RusinkiewiczEstimator 0.00273273922341341 0.00499798965282481 2.05228414640654E-05 0.000161118787411029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00505444050808079 0.0065143544846624 5.53746062485694E-05 0.000214892334538466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00843359487999085 0.00918380661536083 0.000168367146486056 0.000343751367934318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0158554741187733 0.0153937028431502 0.000648360175218762 0.000799959612660236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0463577854068691 0.0425049072009591 0.00601209180404617 0.00521762224821581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0767653631794404 0.0709534495503596 0.0169249877161721 0.0138928242779801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0129186558663007 0.012562911213619 0.000389905747082739 0.000597742772589102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0250389684116128 0.0229899718158325 0.00157428288597275 0.00179163887115487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0497125272190597 0.0450996095922632 0.00653040454957421 0.00639404107519156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.149749051603124 0.136064075370793 0.0638895785383863 0.0525005865713091 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.252266157751254 0.233962758552354 0.191887611455578 0.142608594181334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax RusinkiewiczEstimator 0.0131550771580321 0.000606458807590982 0.000517154257239985 1.64803056562331E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0135457469579078 0.0043484117327646 0.000536494436855985 5.39583480509185E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0145302403639242 0.00862729709235685 0.000591792466312123 0.000200819480425223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0175976420530529 0.017115079646301 0.000815070184311676 0.000763190859050243 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0362490661317458 0.0499793485466437 0.00354321983868325 0.00621165895251384 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0590827092915037 0.081407298065317 0.00994004679614885 0.0160454702065906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0163309890972745 0.0160135824783524 0.00073898390435229 0.000661760011235726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0231435362549234 0.0317326330965277 0.00142093834808476 0.00252072211484171 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0404278327733976 0.0625477493834194 0.00448525725398828 0.00949517293485106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.122405945273752 0.180126778480028 0.0476083677368164 0.072329524755592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.21304343971481 0.29263315466885 0.157319198894813 0.177722107510266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax RusinkiewiczEstimator 0.00429836178829941 0.00600281090344306 5.68085087519906E-05 0.000224959394865426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00696689670172218 0.00735333792547925 9.90897853159921E-05 0.000281843841756303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0106628231758862 0.00982959002705297 0.000235710677149419 0.000421903002932759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0186640655688185 0.0158623986931613 0.00081135986863346 0.000927584277098873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0530516348578564 0.0427563689861736 0.00736949273816499 0.00584527802231399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0880113569533405 0.0703040599261668 0.0208862419256903 0.0152712507827323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0161541393061028 0.0134829439044431 0.000625538054090649 0.00068478328919757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.030944170778971 0.0239868653143457 0.00247555275385891 0.00192100231355528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0610155814170395 0.0466270959572886 0.0101148880301275 0.00668429589977366 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.185195308308881 0.139840624199033 0.0981840875791833 0.0544511357193445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.310281294288592 0.241817479298524 0.288387431926643 0.147431852044112 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax RusinkiewiczEstimator 0.00528470005040965 0.00315399662241453 8.44413980434132E-05 6.18213254807705E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00643749469359347 0.00546775864341243 0.000111611355706408 0.000125664248002286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00865237574796944 0.009012334247373 0.000188900035872023 0.000287457667090839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0140483795052386 0.0169294404120932 0.00050799666416024 0.000895252652607844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0388056106893648 0.0499009560678965 0.0041865758701069 0.00702343407761074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0645674552843195 0.0831670166389376 0.0119782352412665 0.0189687528726135 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0125202466995925 0.0147774304191601 0.000369727251773511 0.000698137422652602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0224631274658723 0.028763546027362 0.00129479517661385 0.00245111271810534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0436914953149544 0.0570066736158956 0.00524568304148073 0.00919337214188427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.13469035314989 0.168707793312815 0.0546547625370588 0.0748919225075009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.235279600648975 0.275187353252775 0.175397585886253 0.1870294605616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax RusinkiewiczEstimator 0.00233351619504087 0.00276709299191198 1.64063553090358E-05 4.95491610830368E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00484315108286282 0.00452265067408329 4.9182356402616E-05 9.28901409487594E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00835265226537239 0.00714429861817559 0.000159161278917998 0.000195378460992196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0160161064438244 0.013028922949067 0.000630188777836534 0.000572168336658265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0471992684716665 0.0375280406171647 0.00590733703864591 0.00430027751049766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0783833452101999 0.0623757268900846 0.0167076124189229 0.011515319139559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0126602710234249 0.0111496019816703 0.000394435768863223 0.000426264873415142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0247605749684229 0.0214259156937496 0.00160127457668723 0.00146204674108188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0492923265347508 0.042400877072361 0.00658432030296604 0.00546126532011949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.147286765314073 0.127217054678369 0.0623125288244884 0.0453577224121035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.243128175737865 0.215583259634134 0.178153603432519 0.120070309062683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax RusinkiewiczEstimator 0.00162970585421766 0.00304384700792207 5.18450334292808E-06 5.23820907632529E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0040509400827916 0.00471433603580896 3.51277127648689E-05 9.09251437777688E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0074639680131115 0.00728211847002742 0.000134720523818648 0.000185569091302547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0145606587988206 0.0131510503325447 0.000553743905780969 0.000536358461100984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0433363009558882 0.0383583230995108 0.00523433525412327 0.00404545353970789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0722072962649306 0.0639859179506217 0.0148806518786274 0.0108262706110877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0112951092018824 0.0113365493027318 0.000321628118610681 0.000426877792446409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0223685957930342 0.022028625233432 0.00133075141906769 0.00146795834185845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0447067166755791 0.0438438757187238 0.00549670824972642 0.00548802905500165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.134389860940527 0.133131606166049 0.0524529899029795 0.0460874197357925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.223684883778717 0.2258188364293 0.153685896688274 0.124179538444709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax RusinkiewiczEstimator 0.00333329032564855 0.0026874910898381 2.80081025236754E-05 4.1732886210423E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00493880349890492 0.00524124456102579 5.08523574979508E-05 0.000107142021366425 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00749108591315841 0.00919445926631096 0.00012500705249787 0.000279071863308078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0133627117498021 0.0176240765574266 0.000443174831160012 0.000922749216238313 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0388554636614293 0.051660519164248 0.00412052669180997 0.00732484803271747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0648265106008349 0.0853987001940989 0.0117948731812203 0.0195300462457235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0120652016629272 0.0127060225504271 0.00036301748387633 0.000489230500026413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0230938969480637 0.0246373832020797 0.00144334744489704 0.001719472897289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0457309948308492 0.048959059863642 0.00595582096012163 0.00651197997325809 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.139136132728345 0.148029675087317 0.0587741807513001 0.0564448434245458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.237476495128548 0.249830362503775 0.178604746955983 0.153583173661016 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax RusinkiewiczEstimator 0.00413178364954321 0.00651800490862432 5.19659144947415E-05 0.000272555208157781 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00626611248126607 0.00820111824335337 8.99903331924351E-05 0.000343676611879187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00965135623076796 0.0112359891531085 0.000210074380008865 0.000520613364554521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0171006906910841 0.0182132581873397 0.000714083025062148 0.00114584494225219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0486170863959543 0.048982989458843 0.00637092311117178 0.00722132705353133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0801894273453054 0.0809252932752094 0.0178422601606585 0.0189769126751295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0140099001294098 0.0150181566016742 0.000440202847045551 0.000857282050466307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.026322094004858 0.0269736619301267 0.00170585153764119 0.00241841573016068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0516402678573072 0.052182241907299 0.00698945021184978 0.00835208585755414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.154885122010502 0.157370334775133 0.0677593214848184 0.069813468362784 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.260305141028516 0.269447257952286 0.204304083133186 0.192245626694183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax RusinkiewiczEstimator 0.00519742683429622 0.000114437188480068 7.13243325805761E-05 6.71600665230497E-08 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00682438872804192 0.00283820924704342 0.000107017244727123 2.14644235502037E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.00973592320940876 0.00567830446678568 0.000214966191973658 8.40692297369944E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.016652901788652 0.0113575114365154 0.000667369849162588 0.000329609818387392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0473418706582547 0.0340047500625709 0.00595894452829094 0.00281398284340589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0790801469233269 0.0565931735251124 0.0173727114000897 0.00754995116480783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0141613575620702 0.00922023877344489 0.000458221022354415 0.000213450585707035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0263338907951017 0.018446108196883 0.0016895623499983 0.000833630344458944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0519052792119525 0.0369582309822454 0.00696423062574393 0.00321714354694569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.156136146937347 0.112666304620472 0.0706851407916382 0.0268472857944739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.25937088153986 0.192265319084628 0.210703063537565 0.0721823451491762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax RusinkiewiczEstimator 0.0117152055908607 0.00507247566499946 0.000362781157954846 6.80517180005718E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0131734103536213 0.00589344596190112 0.000452181450469602 9.53497621912309E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.016979867688936 0.00820337289652168 0.00074165882215314 0.000187021858170264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0269056713914673 0.0140311482955722 0.00190947341949205 0.00055102689236755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0715964431592019 0.0401552169646173 0.0146679947328675 0.00410540771196118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.114530841679502 0.0695841713166615 0.0402772623979676 0.0109393934439339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0230814579822183 0.0108634052138856 0.00138438677932418 0.000324601509295648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0407282242035855 0.019986211059428 0.00441917540114191 0.00110421925233219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0770696548390211 0.0398597503224509 0.0165713195485574 0.00420396210839634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.210111535718408 0.134472496541764 0.14371859245989 0.0366633602027021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.333261663869597 0.25165450176763 0.403791795395416 0.11126438808725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax RusinkiewiczEstimator 0.022671250302273 0.0237966639668888 0.00155531490543584 0.00191498571104273 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0238604820579688 0.0242485615436715 0.00170908146067505 0.00197657519673853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0261531485054319 0.025967949656098 0.00202997644860873 0.00223383634597303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0328436683530023 0.0320925221313891 0.00316663892639625 0.00331215412467398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0697707332789937 0.0706771967581714 0.0145474232882915 0.0148750117444252 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.110355061263324 0.114722574716885 0.0373583422802916 0.0374439814481298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0291844829349688 0.0299430395913014 0.00249650451726565 0.00296591869065433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0421068153945071 0.0432357637632174 0.00524697260407243 0.00592455736233445 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0740021996685993 0.0750448899887426 0.016375082377887 0.0171465418739036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.207947654278592 0.213095780394699 0.137183300828671 0.121608998901258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.338519573784386 0.356488444465568 0.393684551256589 0.300320366578603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax RusinkiewiczEstimator 0.0281698753208885 0.0126603655154527 0.00240106787632523 0.000517174625563274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.028645204753845 0.0148483592210363 0.00243312138535543 0.000647345169978769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.029774761043898 0.0191245251361674 0.00257205943508618 0.00098135615592722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0336422412209788 0.0292578964316427 0.00319196908458168 0.00215980486236753 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0595130699723552 0.073675247997351 0.0107597548233897 0.0127345859066611 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.092970456866063 0.117382813548159 0.0283374188732636 0.0309555852233551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0318260016980056 0.0260894520052601 0.0030680777614876 0.00175585380081543 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.040447268956884 0.0461333135361252 0.00511836028606114 0.00527426032815089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0655906895378889 0.0878804551118863 0.0143858853220269 0.018302953238518 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.193572788874802 0.246605228596416 0.141061738578403 0.128496591356701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.333073752856164 0.39796658550562 0.440448784342525 0.300889263253208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax RusinkiewiczEstimator 0.028793111230665 0.026974477876292 0.00232017212415193 0.0026308142530369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0296936505352637 0.0272551315942719 0.00244707931469634 0.0026840539969855 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0316950040599492 0.0283793849888018 0.00278998090425157 0.00286785893657178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0385529354311506 0.0324903527411116 0.00415419603230039 0.00360697604432129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0803734766411779 0.061609206125875 0.0188627562906228 0.0115112845149162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.127661594168934 0.0980700938171168 0.0485324057318856 0.0275429295780859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0356533553829143 0.0309430891908597 0.00360399095060403 0.00331874082841205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0506260002339608 0.0415436887250633 0.00717503992459832 0.00553114694901383 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.086638371180333 0.0687123338238417 0.0210941264843253 0.0141162344758651 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.237573788416266 0.197716036994825 0.171823196065506 0.102160574421852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.387303448936278 0.337175980445074 0.506618201264682 0.269521289414602 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax RusinkiewiczEstimator 0.0243483030443696 0.025453379870492 0.0018131721242663 0.00201584441338678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0252480873730882 0.0264710627218477 0.00192332001371084 0.0021331392359752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0269302276247452 0.028695395188626 0.00214712927438944 0.00244709219800022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0317615471103823 0.0358284821277737 0.00292090187218784 0.00365986038624178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.060230429403351 0.0755031726109453 0.0106471623164632 0.0155517435138089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0941951250091567 0.119125406153005 0.0269218671487052 0.0375455311036828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0298074514506879 0.0343065918587459 0.00268299333865361 0.00355240966921062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0406708766485126 0.0516962176661282 0.00497935982761684 0.00776629706290974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0678285127680117 0.091493914937714 0.0142633046475223 0.0234870792997738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.19525360111602 0.253198178580963 0.128889547617729 0.163540005141589 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.334538653339241 0.400910941849448 0.401359425136143 0.374598968510218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax RusinkiewiczEstimator 0.0212878364167959 0.0177959785034435 0.00129736932148964 0.00110064308482532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0222719736080217 0.0183202667897618 0.00140510385482676 0.00114934365310698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0244797696623166 0.0201090503433885 0.00168852773949269 0.00132953862327792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0314634167350783 0.0257410793605481 0.00278717652009521 0.00204901254717966 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0709025494320253 0.0570692762480332 0.0144399618931187 0.009549132356394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.113081007736263 0.0924019735966291 0.0374854810845638 0.0242550532739642 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0281926590216457 0.0240465042113487 0.00219291450340519 0.00183510838815958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0419696685752224 0.0356947015496994 0.00505387774590057 0.00396382295990957 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0739730867756278 0.0631172160029385 0.0165759883972887 0.0122920997893547 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.203636657631058 0.183268264529703 0.137323925369295 0.0939723978855964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.32743413563231 0.303648256632704 0.386129579063104 0.229877472900668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax RusinkiewiczEstimator 0.0178669352876619 0.0186361416850939 0.000997899983233641 0.00109724360204162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0185574196536785 0.0192912460492251 0.00105874780602139 0.00118145700045546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0204895013857632 0.0212082734729716 0.00126356523275972 0.00140581334717727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0269899245771268 0.0274809187916834 0.00211809666320706 0.0022604722348588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0622413323459694 0.0616622951610013 0.0114945195748271 0.0106389730002168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.100466104388132 0.0988308867014056 0.0309181313985511 0.0263434627150475 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0240697644385883 0.0244260868796374 0.0016569084823309 0.00177337152318045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0364911267892173 0.035450138985166 0.00376002498474636 0.00359522492424385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0660179506112627 0.062499272480718 0.0125179723043636 0.010682030346674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.189774971596878 0.183874096857504 0.112324048438096 0.0828634375434185 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.311617632232855 0.313843227262551 0.328415860335087 0.21765182571368 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax RusinkiewiczEstimator 0.0210024739446074 0.0213854835066798 0.00132740404030146 0.00139609271409026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0217119773241458 0.0222451493129735 0.00143154933994076 0.00152803571993616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0232967316739391 0.0245477859791984 0.00167057108958551 0.00183587763226471 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0287083792009538 0.0315664917507691 0.00257201227101417 0.00296410734776264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0605976816130749 0.0694734608191442 0.0119012368531054 0.0140006967400846 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0977669745280276 0.110540864621039 0.0311928731361132 0.0347967288479603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.025188870253983 0.0275211935765938 0.00184621226016858 0.00226635500033585 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0350575240724215 0.0414820432223612 0.00354346319501865 0.00496691406902621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0601031552831271 0.0747486517223799 0.0105847442543032 0.015609199164606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.173508491558589 0.215464217580254 0.0940403132554968 0.118961161317833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.294406257108193 0.351389788637955 0.290375202091444 0.285761676061124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax RusinkiewiczEstimator 0.0266792678740676 0.0291787438617583 0.00208398488088931 0.00297539734987989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0278105816865198 0.0304394730708449 0.00226826223792127 0.00316784663898476 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0302554288556318 0.0327164407592329 0.00267320573494002 0.00355572330524322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0376238724495096 0.0392369074207921 0.00413026818761538 0.0048804025333721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0773905723413982 0.07543399891113 0.0184640256733057 0.0170779960603286 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.121306498184239 0.11807530175433 0.0467496109451219 0.040197622325684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0331785648525344 0.0344122909886535 0.00308596150244386 0.00386939588094441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0460394761739794 0.0488525435506789 0.00597069100191107 0.00748545054673521 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0772693433308021 0.0856751502966041 0.0174546620590114 0.0225252237294379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.214839130650731 0.244573859244088 0.147995293649261 0.169831948687614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.364771205080168 0.397775302368053 0.455005785956025 0.399697971437893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax RusinkiewiczEstimator 0.0206356057084375 0.00733140270489256 0.00134678168247377 0.000144738087059339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0214543557226418 0.00882075618645522 0.00142157811949272 0.000197133564147009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0240243646740927 0.0117933367956818 0.00170089699408233 0.000351926290748524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0316965002048758 0.0197500658361187 0.002843357968423 0.000970866254068654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0731396573595938 0.0544735676884132 0.0160336204128913 0.00702137161941161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.118801341092521 0.0891682591262577 0.0448616259732374 0.0182070474436743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0285059235853014 0.0178242230536244 0.0022547899318123 0.000793936125921007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0433028143679487 0.0325291016292062 0.00523099442658156 0.00259515461133411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0775891833430343 0.0623659623022793 0.017957469049489 0.00926583588497579 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.225245635882629 0.180746615501924 0.176938290225657 0.0712357738001033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.373623963228629 0.304732233181894 0.526440730014522 0.181946656772593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax RusinkiewiczEstimator 0.0269662008538395 0.0127293731080821 0.00194864846251603 0.000475019766641845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0389309906602753 0.0183396323636626 0.00684094288719435 0.00104433966234467 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0566477010212632 0.028287748345484 0.0196231916151504 0.00290414257082744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0943198826085944 0.0531672534436047 0.0696196325906369 0.0116613668013909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.247974066380819 0.168925398786067 0.724560998232521 0.119230741223046 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.404518593630197 0.295971419927804 2.42631097554352 0.35605003495189 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0918989062437778 0.0532263378504584 0.0893807516758882 0.0147986465154513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.161981253374965 0.11112744763311 0.29763443211083 0.0674343267988792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.290816152033634 0.240753233261931 0.716552865061668 0.297533108951335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.715544169676261 0.734753440587331 2.84005293337567 2.38095615732817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.02921790306451 1.04481788775995 5.4165006957245 3.23913575482493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax RusinkiewiczEstimator 0.0470996366628342 0.0475826569248109 0.00725104387075292 0.00858143800100663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0561458236178705 0.05544156310838 0.0104255086846899 0.0119437929700419 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0721475263233122 0.0712838066096246 0.0197044232538714 0.0234752245974298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.11016121016827 0.113144434765806 0.0585510788214592 0.0724064625864299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.278572586510751 0.306079688164701 0.526898550752739 0.585011834270172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.445955621107732 0.475853067553186 1.52381507064726 1.23750587526406 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0950148495829705 0.0963840733309406 0.0420193742138662 0.0539357315610441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.158432640592109 0.171455231004039 0.122322933975092 0.21941364574973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.293376812026963 0.32873089923885 0.45236488768053 0.884739954972043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.775681962749804 0.975624601323611 3.47151024684013 10.0546389636653 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.07497909003987 1.25126883893278 6.36460410544826 8.48256178818705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax RusinkiewiczEstimator 0.0486885911028222 0.0267054996340902 0.00868759570150501 0.00303032688397254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0534831720302785 0.0381221039539955 0.0106874050802555 0.00506061254584894 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0641882781008365 0.0544800989044244 0.0177700088964629 0.00962503722931404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0920653652354872 0.0890377805998674 0.0487545639610636 0.0257725606737472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.245313792096912 0.247221939532524 0.490671283957067 0.286001159080454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.374014217123404 0.353383185251322 1.18642700950785 0.393409589179839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0848952210126824 0.0822931565003102 0.0351360719510702 0.0299834530493787 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.138221773767533 0.143807460682932 0.119167028140832 0.0954638427109439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.25369512164237 0.267096015070766 0.444196993316192 0.298071733861859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.644834908054775 0.69046418876447 2.65428381466602 1.39957220113114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.896931135604157 1.06639303443606 4.40325997669138 3.80956157144853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax RusinkiewiczEstimator 0.054299339430454 0.0549603794870109 0.00850680042931536 0.0111361972996614 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0610173144967019 0.0601149665158104 0.0119130209332576 0.0136649220100365 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0776155797920464 0.0713164762078908 0.0234669774630393 0.0190503811245285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.118503643495208 0.101751486803266 0.0748225274863339 0.0403127539454292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.319410595390562 0.271776683588576 0.811182626700043 0.362218931923949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.490781130898758 0.434976906445758 2.06844277425026 0.866404258980513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.130546222702481 0.101125042676394 0.123789582993246 0.0698504377866778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.216733346607138 0.160144255147619 0.429937800795791 0.181278380878604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.371496009261486 0.280824623789737 1.28722658660303 0.452396860621137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.850643765765001 0.756572952182189 4.91996385348445 2.87809410509616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.0902495526457 1.08265888976272 6.70845161903229 4.78437867275902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax RusinkiewiczEstimator 0.0510513332636057 0.0540836301780746 0.00804833164661095 0.0109474026231848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0577646003387776 0.0613014574751017 0.0102831129550111 0.0142824761008018 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.070346324503107 0.0758972848928361 0.0163336605271423 0.0226981415402872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.099002563514543 0.11269685856678 0.0372670205801347 0.0520398592770959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.244683412003694 0.285099045751313 0.292809582907059 0.336961189221129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.39426112135961 0.43825033207053 0.805523980495668 0.781652042841498 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0894598722672454 0.0963276882377575 0.0328145872548978 0.032498059149335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.144211721003618 0.162039801182588 0.102001650730523 0.0993641757303837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.252396670576556 0.295420197094746 0.355179771296182 0.333069937367983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.625206642078535 0.726909540632093 1.98349553710565 1.95036069953863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.907260980320359 1.02546799466806 4.38321978796423 3.07039998764008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax RusinkiewiczEstimator 0.0447477570570499 0.0407806795550282 0.006439177070503 0.00682459268267234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0642708547684325 0.0707789476922137 0.0454536160192595 0.297793464320469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0832178644643804 0.103103526937583 0.0907483988866725 0.882824094737169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.122822536870163 0.147202649465593 0.184632094260722 1.36984169643876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.257044372704105 0.270650301628142 0.450420702451895 1.41031454579943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.390869186505655 0.383704619577387 1.18077687277442 1.25272917598141 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.140283995912711 0.0865555762224166 1.23875294864899 0.0680946407114831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.213633432470438 0.151380890005093 1.8641723875982 0.234834593805806 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.327584746864332 0.271772403883673 1.39107792218159 0.48510045481531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.763845842554969 0.674483842522678 5.03436100648886 2.1332130257009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.02754431554857 0.894700168736578 7.42404691907449 2.60376076965501 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax RusinkiewiczEstimator 0.0377573534057712 0.0431618257690872 0.00426350229933605 0.00649911211581178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0450260705391939 0.0519564650541074 0.00868580682868138 0.0126756681076415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0590727613599102 0.0655134114609246 0.0250691645925764 0.0237566190220291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0896188689075726 0.0980784587288387 0.0854731693938115 0.059844501882055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.21781456961233 0.230255138771736 0.479650367259669 0.309848620085745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.344769574407722 0.356480251793207 1.04257369449345 0.646193174535491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0700906926230581 0.0761961716961439 0.019738287050806 0.0367426279605745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.118519349362219 0.11996812206285 0.0709101444018071 0.089078128673041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.219308761620524 0.210834622388858 0.317968937920684 0.22030525252997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.592911037555229 0.563586573579235 3.13416109622708 1.09282007360023 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.882329024680512 0.876636292219749 5.50933575627355 2.41382894493914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax RusinkiewiczEstimator 0.04751384672031 0.0463150481479135 0.00735466753114541 0.00855952542083912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0548082602267424 0.0514467041098646 0.0110837892630923 0.0102038866833591 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0682368728702707 0.0619404745158531 0.0255084003087845 0.0202052409000072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.102357890309195 0.0941687714362326 0.115268944596378 0.10131094116556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.222172050623941 0.213411711012903 0.526985095762732 0.418922734147462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.329304777343179 0.318373017383656 0.867335835850157 0.573902677881424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0961475864998729 0.103342086012103 0.0612669003372095 0.212626002043006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.164300775661185 0.172378752851184 0.230504520354374 0.633543679411259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.305089210389121 0.30345536794426 0.887030029830464 1.44879471102269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.674289951375124 0.598561704639416 3.09535565753577 1.54446604937751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.947513301512772 0.822815870168294 5.69716929618824 2.10022294404324 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax RusinkiewiczEstimator 0.050802909341534 0.0559421444569698 0.00714055948720667 0.0132856885603783 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0563749178903972 0.0602717614776084 0.00894037314758325 0.0153523418394051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0673925504329656 0.0695096718014164 0.0144058455313867 0.0203048505229038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0945986745358616 0.0944610340746898 0.0372234036753504 0.0367878505966493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.221062451709488 0.224802712952201 0.296623492534282 0.204405943362973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.351022274317362 0.366718051063438 0.790845089924805 0.531953657811789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0889954301409844 0.0907913368315009 0.0334699502715299 0.0396424986305859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.148207147140693 0.141588182288035 0.121007818289267 0.103995420280231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.268468962479118 0.249772684980307 0.487052890911395 0.312555461715077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.690651838409973 0.634403902757306 3.11161951205673 1.46382128519789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.993233895945684 0.959779022803439 7.02240716825708 2.72741329879493 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax RusinkiewiczEstimator 0.043140111884249 0.0196237160218178 0.00560852516321498 0.00143112465535867 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0542388731472699 0.0308333377266308 0.0114711348318468 0.00737761256719805 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0720855434586878 0.0466474046440324 0.0324255965253495 0.0234984365089351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.112995932147905 0.0830439367640505 0.119888025116216 0.0850798967003417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.270093831788006 0.235700671864951 0.789041361026468 0.531039791209315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.39581664789573 0.371031451184749 1.35836210030938 1.03850152105176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.103944697464564 0.100193335427248 0.122150191407646 0.344264082096699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.145680085215648 0.137071314999674 0.131054851094189 0.539914666779461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.261080383383546 0.242973406756861 0.42945003108165 0.912941624449625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.655653554480658 0.626723086032154 3.00222437904724 1.97185630121992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.935709770153397 0.94258595456133 5.15115732992763 3.49300426004773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax RusinkiewiczEstimator 0.000175442060407818 4.61529816353759E-05 5.76363153126002E-08 6.8729275358958E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0169074232447226 0.0175763811643477 0.000798208094915875 0.000874714138569033 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.033718430770424 0.0352110967095538 0.00327916741517368 0.00338259038089106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0667256163437688 0.0709334315367651 0.0136228574336622 0.0127897611069663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.197397838551191 0.212592466710056 0.14381421954456 0.0931316705721169 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.334516231191955 0.351848323037334 0.453294346330461 0.22550744225769 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0543180193918554 0.0592535558946302 0.00901262410409475 0.00928795092064144 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.107541529456653 0.119064082819431 0.0387491363911024 0.0339846171723739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.216591553315863 0.235908335750175 0.17863004964092 0.114808154181865 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.695743366690344 0.717554057729229 2.13660905134398 0.821446566017361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.21343130774265 1.23544422509846 6.67095738072816 2.20841606156513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax RusinkiewiczEstimator 0.000236310492062991 0.000362352090670339 1.15589964904631E-07 7.33799401675566E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0189944892474828 0.0206392179850851 0.0010077313159131 0.00118843714057933 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.037976309704856 0.0412945193948544 0.00411166559739891 0.00467149387534084 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0758954923460658 0.0826783084809977 0.0170057070459129 0.0182386883163926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.227866339200746 0.248401561685341 0.171385975597239 0.151911488677756 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.381518765319715 0.413735920343478 0.52118737483295 0.393903539088158 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0610309184880503 0.0647606765735744 0.0108843534145351 0.0113433869701403 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.121950130701273 0.129659792482451 0.0456920066043778 0.0437681376720942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.244023675595801 0.259514461364527 0.199011703259277 0.165191343239869 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.745091681729171 0.781519548968365 2.2502368023612 1.27051726096724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.28482788001484 1.31846278518269 7.26111143832018 3.25259439361417 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax RusinkiewiczEstimator 0.00053073058050888 1.20135428251819E-05 6.37773724714545E-07 5.95886486627675E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0183478861767345 0.0122180442827863 0.000941244289726349 0.000376119473630378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0367230654547175 0.0243868334127499 0.00382572985863419 0.00147534403547322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0735939391846076 0.0485440082067476 0.0156596251916587 0.00568031017320232 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.220468493003727 0.144009988280927 0.149082102442505 0.0452647605077065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.363446986534906 0.242455801238867 0.424488980487447 0.117620632959253 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0588942471124792 0.0386295665073209 0.00995931675682498 0.00367886182165218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.117879813869347 0.0766205871180467 0.0409197517295148 0.01392863484233 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.234212276804078 0.152290846607087 0.169033001474703 0.0511502303912732 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.665339062198301 0.490870649183161 1.57080355348377 0.417734269813544 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.08124922772666 0.897604421564521 4.54675331808457 1.22465860309135 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax RusinkiewiczEstimator 0.000437982929123556 0.000382490601763232 3.86598616768236E-07 8.3015475065699E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0145411199214122 0.0179505839981202 0.000570660682428193 0.000901409401488155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0290712701640177 0.0358819788779857 0.00232056082641523 0.00355597374546872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0581470151042983 0.0717082147281012 0.00947577503542968 0.0139840417627429 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.174998393657247 0.214238549213151 0.0916579661701016 0.118829088204074 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.293549952715083 0.354672684930464 0.273767678431163 0.310887201138672 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0483569774753659 0.05772406969549 0.00657830094215077 0.00915302851244305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0966478957198007 0.115534593004184 0.0270493104558027 0.035897334094971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.193328933094993 0.231152034230067 0.114027776508963 0.138557046260656 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.588437379708569 0.687841848842873 1.24926466432073 1.07735519025011 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.01290263370801 1.14262793267021 4.11284381289764 2.65853660167914 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax RusinkiewiczEstimator 0.000533407773904014 0.000186373283262474 5.59453606426157E-07 1.89061781161383E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0138471818548112 0.021418732496331 0.000536584461208729 0.00121591052591337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0277109830764734 0.042809605502576 0.00219780887525808 0.00480400914548044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0556304273089882 0.0854277786275669 0.00912038568074976 0.0187999162819622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.171693707162953 0.252009515807308 0.0954842402587571 0.153726789493261 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.296078673489612 0.411291730877116 0.305006323228647 0.388511610675511 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0446239633824599 0.0706857834723461 0.00589077685282205 0.0131618583866194 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0900678664544918 0.140722006924193 0.0251117436408137 0.0507806835489311 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.185191974203559 0.27733107631851 0.114539047673925 0.187902004098204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.619647884479231 0.783901381493031 1.51378927184286 1.30721466671545 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.10564628803183 1.27533110224791 5.20612934129134 3.14860803468892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax RusinkiewiczEstimator 0.000223416983071463 0.00011222514936935 9.01903875495928E-08 7.83994938268894E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0122729737188084 0.0163553437482058 0.000407721233151054 0.000781787652380317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0245464255337806 0.0327121209341049 0.00165220398521234 0.00310628293493147 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0491374525901147 0.0653983168540675 0.00673246901126534 0.012280021822359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.148483821033179 0.195133087127829 0.0650107175127689 0.104718456385108 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.249796666385866 0.321822005165247 0.195006339741507 0.269923335118071 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0399979506235734 0.0529649874951988 0.00448691021135616 0.00822659769461983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0801982992855317 0.10569114736519 0.0184822942902832 0.0321763823510287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.161576126496966 0.209819165294828 0.0785627526821233 0.121928913295208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.502211897337976 0.604348655155365 0.917695347859317 0.84327681172124 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.884110779365174 0.99764746127858 3.18776493248462 1.99718207655254 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax RusinkiewiczEstimator 8.06981455364494E-05 0.000299180645702635 9.68910697029858E-09 4.37443795810906E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0209268362226642 0.0134057275920283 0.00120457039998807 0.000477827280041543 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0418260830515232 0.0268257242615632 0.00485907812053812 0.00187485106904411 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0834404772594924 0.0538482603674526 0.019669098525957 0.00733423392791366 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.24493191416246 0.166342070383855 0.181119404636952 0.0642805563399841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.398343695890966 0.286051934904649 0.510926964859212 0.17849687218677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0687922787269421 0.0449533113063276 0.0134148818326744 0.00523667758975856 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.13656820477021 0.0908717296651445 0.0543191522787017 0.020550906452536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.267425206983392 0.187361399289709 0.220096862960689 0.0817979793234789 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.747556165782525 0.615360116897602 2.07587315897456 0.737194131478317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.22415342859404 1.09603600275035 6.18059182506959 2.07381370458772 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax RusinkiewiczEstimator 0.000197528747774689 0.00028201443083307 5.80422599257282E-08 3.89429751022271E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0192878506590217 0.0139274027245056 0.000999308793982206 0.000522709154218227 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0385745720153631 0.0278510334318662 0.00404285770986073 0.00205499685432284 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0771206147512143 0.0557373922282094 0.0164432176831064 0.0080425543531065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.230106406704548 0.168633994170941 0.155559637822109 0.0685344235230685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.379644386942221 0.285520810238479 0.44733579328827 0.184950915226985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0629594212253718 0.0446420660860638 0.0109605489172963 0.00525642152983482 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.125687844652638 0.0895651021190548 0.0447218008379354 0.0205021461615278 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.24948026227777 0.181168443239534 0.183933806516417 0.0793667360697863 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.719291933074281 0.577076854786909 1.78496807541851 0.677684515813182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.17690843210507 1.01819555328984 5.32812293829988 1.8681271470654 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax RusinkiewiczEstimator 0.000424260891117927 0.000409857073250793 3.61450059712014E-07 9.681932702414E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0149296745143722 0.0178204779803413 0.000601584205093104 0.000897003914548561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0298453672338027 0.0356304783123568 0.00244701328348478 0.00353581482750462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0596650368187398 0.0712547669849531 0.00999762603483383 0.0138995997191814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.179063224002815 0.213555993801047 0.0967111069367696 0.118531081578134 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.299513536742271 0.354723702468477 0.287800943406838 0.312451146896345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0497855121338011 0.0588313790755804 0.00693233420384207 0.00975801242328141 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0996391517534066 0.11772696775856 0.0286219416846246 0.0381999071802846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.199878882655034 0.235510467691067 0.121697943183069 0.146917517703929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.6155381604818 0.702656261258038 1.37718780386649 1.12908446152858 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.06563373778261 1.17825550824318 4.61100886998763 2.83327045521999 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax RusinkiewiczEstimator 0.000391997394246405 5.02021587555335E-06 2.3196162824402E-07 1.04733900085489E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0146794628082172 0.0122086147636272 0.000606371704470951 0.000374320213612002 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0293529273955771 0.0244163258719239 0.00246568218438312 0.00147820843938519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0586969834616765 0.0488448508429606 0.0100841575613176 0.00577353445539247 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.175787408525827 0.146827995057268 0.0972617955512932 0.0481263464383864 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.292676319423549 0.245767575123941 0.28563575464295 0.127363663568912 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0473265303450748 0.0404419123704148 0.00659344319953735 0.00403936541296953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0946615219411189 0.0808238932495288 0.027326620391875 0.0155528264697948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.189315449423711 0.161626186062701 0.115884763408475 0.0586628877806016 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.566305113111015 0.497180241596068 1.21276195413132 0.47171474434243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.95341130532518 0.875545636952032 3.74160910781596 1.30165271655981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax RusinkiewiczEstimator 0.000100653235062002 3.21421550127155E-05 1.72456076182152E-08 3.15645697096625E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0161012600944048 0.0112845595498997 0.000681027281612687 0.000337173430115862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0321399962354566 0.0226068957802138 0.00276997266709557 0.00131327289540964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0637792706004868 0.04552216863458 0.0113252199252411 0.00501992828145287 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.18341983584649 0.14314907562059 0.106920885844465 0.0399683964919588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.297656390772604 0.251090641837487 0.309285337978426 0.104817213548752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0546205381125687 0.0351082157641568 0.00815639753125419 0.00310070240256367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.106957950823536 0.0718109033781014 0.033188036177674 0.0117446373286027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.204337207963739 0.151438378812132 0.135186487541986 0.0437750613150827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.591346286605351 0.532045023482685 1.3672969406918 0.38442393370661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.00975620225993 0.953357256893252 4.17481036092192 1.10344523869329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax RusinkiewiczEstimator 0.000170745952338405 0.000312382504027517 5.59679231602601E-08 5.56244827466775E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0156051933868489 0.014558572850944 0.000655698594113373 0.00059600091973872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0311974127536148 0.029114386290643 0.00264748696982591 0.0023522645025804 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0623194265650937 0.0582845208516267 0.0107227040769325 0.00927066416571596 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.185457077597408 0.176184552710562 0.100077061433265 0.0799932194780603 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.305801872892597 0.296300964091424 0.286211538185718 0.212417081262896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.050281698620621 0.0475144175577472 0.00709382755647973 0.0062327500086947 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.100411263185735 0.0951536106659825 0.0289214960853937 0.0244268439070941 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.199779376726012 0.191338439397513 0.119276201603277 0.0944476419111649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.587275514316689 0.58447116804102 1.19436836459784 0.726356548269631 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.989610574657171 0.993437828579442 3.74416605491784 1.8083664429697 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax RusinkiewiczEstimator 0.000754234073907649 3.20904930997271E-05 1.23056936582269E-06 4.37269023125878E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0125357030889901 0.0170655004971146 0.000423557357168277 0.000739095176382632 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0251033968957752 0.0340500312536009 0.00173635871043955 0.00291287747968446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0506271850950215 0.0675058401449947 0.00725154905997794 0.0112238626174876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.157202809852689 0.194150679189686 0.075673004801547 0.0865869752281091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.268759482755035 0.313874708786816 0.233748008068856 0.213052028542565 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.042614557889065 0.056548532932637 0.00513466424431151 0.00801836922756283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0864232173965881 0.111223107486413 0.021926566113823 0.0300755075195072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.177273617058567 0.215196773446787 0.0979229494445442 0.106566935512892 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.564844255479384 0.610505025354192 1.14124636239792 0.706938853661755 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.984125951457308 1.02832527464775 3.71945790950386 1.7122545662258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax RusinkiewiczEstimator 0.000319815241483783 0.000407615437117062 1.59603710017047E-07 8.95130634626883E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0158083804595886 0.0131391209189277 0.000644520783042829 0.000483145261785519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0316021121529016 0.0262724061969801 0.00260453459467641 0.00190612103824378 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.063160632689579 0.052550184403961 0.0105168031551718 0.00753075449839043 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.188680986567204 0.157952126324771 0.0967530424237281 0.0656608488607594 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.311864235247447 0.26432001524459 0.272317209433195 0.177274141658243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0522706851784305 0.04382253933312 0.00729793703371213 0.00529171976080553 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.104466933368172 0.0877073547478738 0.0295495798056377 0.020858388745579 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.208391040488355 0.175874517377992 0.12039633003263 0.0814309517582109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.607264074683843 0.541509110077286 1.13983226918666 0.667282922840255 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.998328848256591 0.929743927436644 3.44342961366808 1.69419715429086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax RusinkiewiczEstimator 0.000348737133305302 0.000230572532023483 2.38014677030994E-07 2.75478873265579E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0133765611568777 0.015947092106757 0.000489871014960399 0.000676003197239155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0267436659612353 0.0318920220947045 0.00198383347660848 0.0026776088459621 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0534915248093792 0.0637718164296205 0.00804937469513772 0.0105865848816439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.16076926007384 0.190838340808167 0.0758638522968523 0.0913347701629065 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.269570096034174 0.315466711859654 0.221642036865995 0.239383264104317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0444501544643674 0.0534205300718789 0.00555552246648596 0.00743524903002758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0889472906763687 0.106792832933083 0.022667620824878 0.0292386148957773 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.178369541409588 0.212910688233229 0.0942553406034853 0.11257215317454 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.554449121234922 0.613222200252356 1.02421923468416 0.797930250832265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.956305590846594 1.00756372357657 3.32277898866936 1.87855092494064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax RusinkiewiczEstimator 0.000124651262647986 9.66792484263988E-05 2.66947094610751E-08 5.66208919386094E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0167125158417842 0.0125831701385692 0.000732386780307257 0.000441603377142636 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0334224516474253 0.0251666189277038 0.00295126299663162 0.00175192878036688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0668170684861596 0.0503429031674813 0.0119262509025189 0.00691370896962239 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.199014180944477 0.151488692391684 0.110115007203048 0.0590652978235481 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.325850621926737 0.25511777569111 0.30927790340616 0.156330966833739 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0553799694288505 0.0410771289036165 0.00833224234821911 0.00470523067954279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.110506157026704 0.0822758230836214 0.0337004718945465 0.0184687606681741 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.218421778018337 0.165778403994797 0.135794179123735 0.0712860711217113 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.610229889243688 0.522649997447664 1.25328977159043 0.56318048817581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.00375329283315 0.91686263505317 3.8160516716104 1.4698943250976 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax RusinkiewiczEstimator 7.25129949333286E-05 0.00018043705105792 1.05432562658593E-08 1.64567417455249E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0133850165323225 0.0151279526985305 0.000479049381864793 0.000609711594907281 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0267761189703809 0.0302476437206781 0.0019338019638839 0.00241376929645342 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.053580782863747 0.0604690125682518 0.00785486677280609 0.00951715761451926 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.161047263661933 0.181024670241019 0.0747633297409857 0.0811946057909555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.268637318292339 0.30068746720106 0.218856023238522 0.211872685261089 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.044805077659543 0.04789960247192 0.00552746030575124 0.00603969528350517 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0895431783836806 0.0958780844578394 0.0226019881223128 0.0236287335036677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.178558170066658 0.192126384868856 0.0940260937024035 0.090624300929353 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.53704081262561 0.573923620037621 0.994313392744186 0.666670061980062 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.923617322365757 0.964301911638013 3.22518314303389 1.61576168329357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax RusinkiewiczEstimator 0.000218670650339812 0.000185670833392044 7.24514656760987E-08 1.73300160466212E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0139164965886135 0.0152069815865491 0.00051094565133942 0.000611816540358105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0278288148392426 0.03041432287704 0.00206326563941159 0.0024258893059001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0556572999405366 0.0608326524554588 0.00834941543376052 0.0095976254619279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.167213510871057 0.182124713172388 0.0782535748201693 0.082620334729492 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.279617093099295 0.301887145246564 0.227059316595805 0.217111243706044 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0451094278785178 0.0495438387477182 0.00556943427815309 0.00648667406909736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0902577278872657 0.0990366748255616 0.0226605179677139 0.025513514259344 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.18079988180742 0.197505970741526 0.0937403640067143 0.0983143772077666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.546683322775192 0.578678926557912 0.970636337178814 0.722269505868913 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.928254492903468 0.969766887893512 3.10033328481789 1.73542498234112 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax RusinkiewiczEstimator 0.000283133443856606 0.000465668567830062 1.46656775094338E-07 1.17335615926297E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0149676469896833 0.0139303684240368 0.000594876851950783 0.000542593955989462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.029928134901661 0.0278428486592295 0.00240359065441917 0.00213591191174674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0598427708089795 0.0556952665487629 0.00971618014230684 0.00842524937254258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.179144869628177 0.167545253748766 0.0900025701604234 0.0732127226342028 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.297300154895682 0.280438082185145 0.255829291446457 0.196759209245409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0493306294765677 0.0455005414576411 0.0065518495612792 0.00563643763094605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0985131426268437 0.0910784702755099 0.0265487838506692 0.022173478314978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.196059079935999 0.182794980279421 0.108278982907202 0.086465773079296 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.57254490482331 0.559833976050023 1.04141854654239 0.700055895891924 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.951890923214841 0.948738825641484 3.19295298581281 1.74861493246436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax RusinkiewiczEstimator 0.000285004748234564 6.33214923233662E-06 1.48172788452149E-07 1.84221489829881E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0177370940516438 0.0109881983063672 0.000814220086228345 0.000306720408830555 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0354658206689912 0.0219741207614735 0.00330034211750745 0.00120836084525935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.070877019402066 0.0439550776489874 0.0134588295777825 0.00470256929925067 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.210229773123472 0.132840459259038 0.127149417797553 0.0391914097661787 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.342493445566747 0.225281515218891 0.360347727324538 0.103831156964077 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0575934169084263 0.0351368919767356 0.00893619255642231 0.00304043834812723 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.114859104923608 0.0705059626272382 0.0366765216347779 0.0117424918773377 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.226510956195038 0.142542932167896 0.151366098147654 0.0448445275289876 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.635183687553747 0.471396959744731 1.43227844306698 0.38861063781259 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.0414697128541 0.872468155291478 4.25811207602808 1.15000269816944 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax RusinkiewiczEstimator 0.00847213078475466 0.00392741936607765 0.000220088675868249 4.21497920060486E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0254926748036986 0.0169911430751084 0.00183334782520912 0.000775044708972207 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0482246431462208 0.0333615470174594 0.00673707440913523 0.00285275295032184 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0936445162572848 0.0673402284512236 0.0270018168077479 0.0105361614530583 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.267663247418237 0.220890540102246 0.264521601417871 0.083354243752494 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.444535668632888 0.396117446308769 0.792671169965317 0.228005478706581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0778283311821121 0.0518559728233794 0.0178672870451089 0.0063080257825522 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.149257200387667 0.108082494531188 0.072158830955017 0.023435465668497 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.285133674325799 0.237273866702294 0.302137726311696 0.090569364588652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.871606826969859 0.838344855187663 3.24429258713961 0.857667040108825 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.49923516360448 1.47899612304919 9.84653307298584 2.49116327189211 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax RusinkiewiczEstimator 0.0258406400897331 0.023089635519716 0.00215414815844902 0.00175279300824478 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.034086653416226 0.0327482809860764 0.00348833393037549 0.00319818806460877 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0511668984238049 0.0504528051715515 0.00767476939589073 0.00726570552965764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0916032505491121 0.0912206473140496 0.024872765676026 0.022942746028181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.263499629527602 0.263094983778915 0.223004717860644 0.171267102823617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.435629509739511 0.436041359515399 0.657643929057547 0.422636648464009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0772077395369089 0.0728175930049163 0.0178644687387213 0.0148863314540037 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.146507752572209 0.140795135546918 0.066343970070536 0.0534214907650724 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.28604254263195 0.280678186796883 0.27082238209452 0.195292034096788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.858105777369257 0.856489454539936 2.97178251704176 1.40591593843644 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.48546010918315 1.48269261982754 9.61376468903559 3.61129757883844 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax RusinkiewiczEstimator 0.0153150282708027 0.0178221249452123 0.000813570968802188 0.000870299871282659 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0245675308125678 0.0309688778902369 0.00185204283067061 0.00243335412681452 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0410226993992986 0.05258690236593 0.00506803331611913 0.00690849532890299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0781241926549464 0.0983978360426507 0.0188063791863476 0.0235145955558042 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.239753137615015 0.275257048694939 0.195271683135933 0.164731984704898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.410657297822509 0.446239126159523 0.611484747771491 0.390243733382595 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0621303993882439 0.0816665387111679 0.0118820567354587 0.0167426921265143 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.12319544214755 0.156476924681304 0.0488688182040987 0.0590238344226861 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.252338571853709 0.299904452925937 0.220801888304786 0.19942067328268 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.815739078994649 0.87554322883655 2.67907192828792 1.30413324608897 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.44097280342633 1.51322128737854 8.81063319527816 3.38882272181354 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax RusinkiewiczEstimator 0.0319924536466979 0.0290716238540515 0.00306253638383714 0.00266152973840953 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.039692552317396 0.0354310102799487 0.00457442452454557 0.00376285488074541 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0566820915229304 0.0488889692271686 0.00915593522920187 0.00691415360436204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0989261200731532 0.0828949092334734 0.0277258535755841 0.0192818969301713 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.280439243368354 0.234538505044583 0.231695128071412 0.143575508165707 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.457016563717718 0.393074693379553 0.650152520527164 0.371493046490993 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0811657369711185 0.0707126842848506 0.0187372360711367 0.0139380390621822 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.15210330198195 0.131374274526645 0.0668026213123056 0.0466744648077337 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.295378893300567 0.259254626554459 0.262647318336135 0.171126115971954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.841402679712181 0.798947557057126 2.56221724922368 1.29806030042327 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.41409939748822 1.38107910699634 8.05408146452853 3.34506042967758 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax RusinkiewiczEstimator 0.025403410876694 0.0288366804208731 0.00217620661176808 0.00232192927613599 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0318466635502916 0.0378874396618345 0.00322594871267798 0.00385790347581981 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.045888888876895 0.0561793905751778 0.00643990577315472 0.00831926987157898 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0805580535283124 0.0997137798631842 0.0196154306834952 0.025734761960462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.233530055952356 0.281611950781499 0.175241805095226 0.190687071886219 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.39520487188597 0.457098582439477 0.533991764405873 0.464876127980957 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0672915580084677 0.0817990666736044 0.0137775434163339 0.017518606509409 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.128016115202919 0.154186564230273 0.0506126616291181 0.061243848833778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.255175610774603 0.298991992834112 0.21198292667032 0.216517064479319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.800502279419947 0.853336247059597 2.44939460733018 1.40222587917663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.39857719028601 1.4469520569221 8.09670219583593 3.47640515000161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax RusinkiewiczEstimator 0.0262559103219229 0.0163987635581434 0.00209165953630352 0.000876493182194532 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.036465572444506 0.0251625872392203 0.00381228500851515 0.00189718902746634 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0553570713872965 0.0408202413399043 0.00867676615467132 0.00482684854026187 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0987970034038415 0.0760897713266895 0.027999426182786 0.0162393095389855 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.27831429201498 0.225307058827256 0.237889301600317 0.127653455894778 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.449283631606272 0.381501309474258 0.674124228749347 0.325434010017347 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0850925943868961 0.0611919820468384 0.0206924537274913 0.0106867671525576 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.161491021122768 0.118642956170995 0.076130176237535 0.0386011847723472 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.310498266717509 0.239013593831789 0.300640395265652 0.142541915580839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.872369420530246 0.776283646217249 2.97919608509204 1.10905430009663 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.47466235644252 1.38494410688486 9.26201737583774 3.03504539662199 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax RusinkiewiczEstimator 0.0176121075888491 0.0226193696037574 0.000951367901766406 0.00148340899746625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0271456367260047 0.031659361548873 0.00217773667253316 0.00276197558569361 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0441772908768398 0.0494241625256048 0.0057291430077441 0.00657510739251649 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0819386943485365 0.0901560300566055 0.0200076677058284 0.0214521794259178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.237879594051464 0.259416919262409 0.182946642095594 0.161771192798629 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.396904099919931 0.425189619819476 0.552972445806111 0.394282830005092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0655543106492295 0.072815699972899 0.0127385969259729 0.0139372330118761 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.12697747577941 0.139882049171017 0.0493420017172701 0.0496998304041493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.251322220827469 0.275735502334863 0.206925616630045 0.178354070880881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.780853918074503 0.817026400274823 2.41461572230684 1.19278017617437 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.37966945384868 1.4058928297584 8.08969737846626 3.04709585792932 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax RusinkiewiczEstimator 0.0237507773240686 0.0251032124439704 0.00179680284346041 0.00175260299628471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0308306420417675 0.0328080234185159 0.00289513663937926 0.00289618527728136 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.045875137241537 0.0492263706281318 0.00618575851662018 0.00644029997062125 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.081889689666079 0.0882295029920206 0.0194608020737705 0.0205351869049823 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.235764399826227 0.252838756844601 0.168290242062491 0.158920019971661 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.389404029738505 0.414365895765831 0.488538601016959 0.393632766373321 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0695163680621954 0.0775310611357121 0.0142438403137175 0.0161649808040153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.132744834712903 0.146758033206265 0.0526744333542083 0.0567840560783605 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.262785948590459 0.285045314139891 0.216715956777087 0.20195844288803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.807611145623785 0.823773988064627 2.45046927202741 1.30858134287008 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.40386136263619 1.40709376403746 8.11075588270983 3.23257387415893 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax RusinkiewiczEstimator 0.0319464559270339 0.0278200156121045 0.00311735420427575 0.00235300748366569 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.038707811099071 0.0352046520639571 0.00446366503867118 0.00359579774839619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0543319289118064 0.0509068791490315 0.00860717134737893 0.007323922573298 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.093360048643295 0.0889900654570078 0.0253608261409873 0.0220170561386593 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.264124760956402 0.25415904629207 0.212492634349248 0.167941251300257 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.434521252501325 0.420174021394723 0.6076908126815 0.425543970425574 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0792748570587059 0.074461581753466 0.0182458836529394 0.015753755730091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.147340316702024 0.139612988072803 0.0640389549901313 0.0540735999965827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.286378403418829 0.274167375878462 0.252983485942451 0.195838483151832 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.838649307571022 0.822538476628763 2.58241520175802 1.35984555678836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.42155370215094 1.40785115635889 8.16612078398916 3.37385876117688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax RusinkiewiczEstimator 0.0228416988717314 0.00882444324021535 0.00161448755390815 0.000203249527456792 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.034957889701117 0.0187656116941722 0.00344097381905907 0.000900365609146038 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0561664275519022 0.0342095656619432 0.00881722193312571 0.002952503513527 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.10359035552557 0.0665021621166063 0.0308141744704547 0.010787131286971 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.294270045863086 0.200835892564091 0.279229972236199 0.0865712714827086 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.475631750150558 0.351042275235454 0.796646086019654 0.234613539306241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0829539546854421 0.0535319041542726 0.0198058410888761 0.00715103630839584 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.159431873944989 0.105876282330184 0.0766115377703247 0.0265298850785814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.308332035922274 0.214547651790008 0.311858254626394 0.0981271858464828 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.870287793126407 0.733892019452956 3.04565334592701 0.850055258958109 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.46371169179253 1.3330432424431 9.22617675591189 2.44617950974369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax RusinkiewiczEstimator 0.0178187403225714 0.0100272276741402 0.000907197807738069 0.000340438010996043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.097255937222596 0.0821273316338317 0.0955534245926565 0.375809841359786 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.188896148246237 0.174150812118883 0.466372332091302 2.10936403661861 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.370365544714364 0.358933944227607 1.83394115122318 6.29850530984845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.1049221347913 1.05644065419355 17.0353866102515 9.23143267189043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.80154442019346 1.74330596454097 46.7396994804872 22.6658924267469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.298953359862 0.265671664081418 1.85325407496902 0.909598947684905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.592904866554367 0.557249285212538 7.20831322800627 2.93482648504883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.18310862946641 1.16305828172153 22.923328893469 11.050647503306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.20375296749247 3.24258762906993 77.3524059878287 44.5964906496398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.68574723601194 4.82344770077143 136.559886017837 81.8840946875443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax RusinkiewiczEstimator 0.050771533738474 0.0507853608724259 0.00835311518805477 0.00995900335184709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.126391378498525 0.201931471374479 0.384857819383684 70.2890125922606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.222520182406982 0.22777022534516 1.32651060345369 11.6871330767852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.452277490637231 0.361470648653881 18.4580217926886 1.25519941997073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.13632237432629 1.04904264936815 21.9870876145316 7.74504703588688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.78835691170907 1.69326534403157 32.8926638749501 15.9254946133193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.309695531225513 0.33091327492257 2.10539971855988 31.094796966617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.580466478570971 0.633781214720024 5.33529496217218 93.4202175807041 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.09903040327235 1.11310286711366 12.2193576114544 40.9848549091892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.93628871987164 2.91119422667289 62.7840105140419 44.8615257206607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.49324802460897 4.4526848045876 131.871508310927 77.6906591486098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax RusinkiewiczEstimator 0.0341920215242656 0.0371394557923024 0.00442859978770927 0.00494396406587847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.107420121570087 0.12019367701652 0.339310477074394 0.325105156510413 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.204494144564217 0.217995109781472 1.47692653985261 1.23658696722275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.406531167660748 0.414160538529781 5.15711500210993 4.86503746999948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.20729288278737 1.23308066901677 23.5945799513892 126.146531401752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.92846984768292 1.78642235901797 46.7444035271189 19.9353829100285 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.308740564901503 0.454066687574273 1.73392026109997 85.5253758216764 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.617322162513094 0.734490901158468 7.01589228766028 39.2281107089428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.19460483671445 1.31876255663646 21.7333947177156 32.2213804996457 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.16809442451897 3.34303800762017 78.2800830647445 64.7370535938391 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.63645303227687 4.82619768009874 133.813544505685 87.6275517661858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax RusinkiewiczEstimator 0.0645196137557801 0.0604565137167141 0.0126604408968641 0.0131777380235993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.116981949938152 0.11158525471741 0.0939991814332848 0.0878521787529083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.192216010528124 0.187628806384673 0.340175657499478 0.333225307566886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.354020668351449 0.352704942977768 1.33443888991008 1.31821001286037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.00555581790913 1.02733869991297 10.5406678124028 10.4167174480907 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.61777266530105 1.65893455022528 24.4154334956954 24.0159449751499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.286979423578033 0.271502646954973 0.695455425777911 0.558585814661788 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.55153300951406 0.549700260736841 3.91848896256477 4.09436456011662 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.03992369427499 1.04671957411497 9.62847810367501 6.95519230792663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.87378176826121 2.91834583409742 61.4101846569217 34.7384534508681 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.37020392020152 4.43704716822722 123.75060423443 57.9526780550073 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax RusinkiewiczEstimator 0.0549266436619506 0.0598613138140816 0.0103286408727261 0.0126030764881236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.109103504134042 0.117519158545979 0.0929812281955543 0.092001216965904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.182094951676174 0.197145585197337 0.330609461769 0.312660872212888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.337985096954711 0.3653071830084 1.27298735108647 1.08879633345345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.97832193489974 1.04098645530615 9.9280674888492 8.16445403283918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.60451842410198 1.71498932345007 23.9130311427483 25.959722781512 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.300698766622261 0.287619557447265 2.15972270263897 0.551187174169754 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.587840449131248 0.563354197195858 7.65386489731272 2.27951866653254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.14528635345036 1.0914552029638 22.4616190492106 7.45056302225162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.05207289273085 3.03538367029263 79.0949397744805 50.4641512693817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.51580614421479 4.53925151672467 134.069929426956 66.797887551716 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax RusinkiewiczEstimator 0.0518087491348103 0.0385957334111734 0.0078345326530415 0.00599458952098072 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.126836775266027 0.0966562457359592 0.220457733828641 0.171345223782168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.222356967644852 0.178999413967705 0.865159899761461 0.732999935713392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.418298148365929 0.357908093806172 3.53408983459095 3.38777826916912 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.13944731929384 1.01996033069991 20.3491175946139 11.6689110192872 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.77619800945009 1.66954574109203 34.7042082001165 21.023974196936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.348486325718352 0.277418882557444 5.66120647139621 2.43518802262289 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.635862793903803 0.544063330552774 8.65763497248216 4.7334218484813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.18400241067371 1.0611110294631 21.2969311782403 12.7263041247929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.05221389366701 2.98089673200916 72.5367433633826 41.2570044385705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.55582224126927 4.51634239440217 141.669627268121 78.1143275276776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax RusinkiewiczEstimator 0.040104005294663 0.0468393921872553 0.00513946847245798 0.00754537352651672 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0906601750035927 0.13197945019757 0.0670161982051823 7.8485342124083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.159771778578335 0.225382715052866 0.262784003378045 18.3339682614995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.307779753551172 0.389135101839324 1.10777266221349 17.1072274588998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.928007978735767 1.00802323666828 11.0001972385153 11.3078310658156 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.52328633479078 1.64402955631419 22.8942319936766 26.2378539845379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.300211385887035 0.30763542094539 3.46164546525131 1.45425721648671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.549740047277965 0.594402400664692 4.67148789800603 7.14118263225153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.07111816919278 1.11019702403787 13.7597419392847 10.5094414794868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.82744510580638 2.91785450308033 59.1218199901171 40.1199695341052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.29581924743735 4.3522742084478 118.59857978621 60.7169050797623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax RusinkiewiczEstimator 0.0522231659255817 0.0538325201886467 0.00840787126503647 0.0100102461594358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.122201528202717 0.120662081752942 0.440425503356051 0.413892398485292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.21335686013285 0.206488005163132 1.54279351128815 1.32665542658409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.391929669553433 0.379578174673886 4.26363884083306 3.01279518504038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.05339836513826 1.07528770024544 13.2700911375273 10.6558262857305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.65490550472493 1.73098535918285 23.8406209001981 22.9636136977165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.320856656299126 0.332255540935852 2.61523660359378 2.62576395461622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.600335441061686 0.615491993518448 4.86112507276896 5.50847252601963 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.1811450903621 1.18449068734068 16.5276085536116 13.9001226316556 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.09836954665454 3.19030431423958 77.6060109935749 84.0464005673184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.60460456986739 4.59055208435128 153.56352919987 74.7754289865712 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax RusinkiewiczEstimator 0.0639144180307539 0.0611538552124598 0.0122842500833974 0.0142543812953168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.120458222803283 0.111903581328285 0.131335454047692 0.0798535620297006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.201022038778867 0.186070274825253 0.514452397984494 0.280737608723774 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.375006347043758 0.35118078252905 2.12920278772011 1.13399355684767 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.05812997572729 1.0112205454247 14.0366192725221 8.29792418942582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.67104238098634 1.62392689878872 26.5317845168344 16.6525104173172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.282690864680001 0.271864964743639 0.771745262512101 0.735899981778149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.542190050631712 0.525596188961634 3.15097633659465 3.05572220866884 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.04945471331675 1.03691016521951 11.747159706175 14.1785839406812 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.80149270351744 2.76896100249256 62.0774755914004 34.7702758752515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.12572811211385 4.20159541838654 110.044015404913 67.4720752388043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax RusinkiewiczEstimator 0.0431114839111782 0.0225163420573877 0.00582535999595757 0.00168465110259024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.116242952975539 0.0765624534408752 0.102454853123406 0.0699026251565216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.205713888773898 0.148427208245689 0.379022210062631 0.316325506846871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.386319032086182 0.309386044520789 1.52040821577445 2.19351324632394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.08839432285122 0.954132722475647 16.0939225665391 7.19730999936911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.6899330301127 1.62869570557957 23.4205079807333 35.6076351893776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.331751837355484 0.262476756269738 2.61279950188001 1.57992267091103 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.625799088943161 0.528385634854855 7.6120543284623 3.47106427226126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.18808294283805 1.09651262496056 18.0192453282494 15.0085072287444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.07529275103929 3.04047534943469 68.5098268327227 50.1106569910044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.53951255648869 4.51712732822061 131.362030273629 73.7460616911511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax RusinkiewiczEstimator 2.19401880810994E-06 1.01197070206701E-06 1.12491408024854E-11 3.22278835556796E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0894273037202857 0.136357956287487 0.0297329456645172 0.0391752757407559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.199646419199796 0.25368196656816 0.165905231178477 0.116883404840177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.442311149645297 0.492510995414222 0.859739982286008 0.380429160325996 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.45456742080657 1.49667577258486 9.55931656466203 2.98958766704464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.47823921842614 2.51730778268599 27.8659790464639 8.10253334078372 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.345497125988909 0.394091014097073 0.518249303843628 0.255885645073011 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.746275801925721 0.78956922539737 2.48577806817882 0.902464692960396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.56204168478015 1.60115193051494 11.006680865943 3.40243238265535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.86638663674829 4.90150309424291 107.491222038287 29.6277268032674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 8.25513310708075 8.28994261025599 309.977779110644 82.6272125653729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax RusinkiewiczEstimator 1.10859905419795E-06 2.05203835398769E-06 4.98552261105527E-12 3.41475280165688E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.161642567821947 0.153694378410605 0.0845265307008957 0.0533385018384709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.32250477862269 0.308455121299965 0.389766992863853 0.201267770445508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.643396823610954 0.620772675462351 1.80595655453194 0.771102749929304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.96256573062269 1.93322228535874 19.4242889205213 6.73569078939747 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.3240314357828 3.29597652119247 56.9831423379126 18.6305215852022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.522744067224408 0.505908491841005 1.1567225354685 0.529981478697227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.04849529057244 1.02725287482524 5.26775256264708 2.06439002133494 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.13323361601407 2.11610712497565 23.2608708600471 8.16641846738026 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.6221143369261 6.61890324470281 229.88263451863 72.9472429833802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 11.1833920387818 11.1906949003651 655.138011663389 201.327396903839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax RusinkiewiczEstimator 3.95843256626527E-06 2.02788325917315E-07 6.5437976918206E-11 1.66885079422301E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.090954035058449 0.0822321877560038 0.0244566155023066 0.015115468991004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.17853266631965 0.161415041818782 0.105162372969635 0.0517937297735587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.350637124772571 0.327012611606228 0.465828833026182 0.179013046767342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.0874754484421 1.06805341470004 5.07907010305333 1.50948446943027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.85444025528842 1.83918167194504 15.078123395199 4.20031318898254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.286698842540484 0.262589279441842 0.301628822868918 0.123241824808505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.576278305111147 0.55033360360542 1.36294552243523 0.454388816151125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.18724353880813 1.16390716092686 6.1108774976292 1.78793378572231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.73144830153668 3.71132960726992 62.0739922450506 16.3346614585738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.37818617208367 6.35810099901706 182.338536809074 46.5020325922212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax RusinkiewiczEstimator 2.68883641024056E-05 2.79137711715011E-05 3.63256615146429E-10 3.3181739777787E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0862384619989128 0.127128479984691 0.019686389135325 0.0403563624173269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.173121169508193 0.253683538251855 0.0820201481542142 0.15716625994961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.350805889355271 0.503323387134734 0.359349770097913 0.592655339047411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.12803650081838 1.44287709266134 4.49042776090171 4.2216235277424 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.98968689642235 2.3381019204028 15.3611719645468 9.97306517955829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.282696482601018 0.412287960697915 0.232154177798995 0.408383919425053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.581279382769687 0.810358150565311 1.08029978295192 1.47979181159282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.23142505336756 1.55962507239834 5.52588571464323 4.92789613821138 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.23870345552814 4.57131449354451 76.1596876453649 33.1925547743133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.51917111799824 7.83282169738783 246.711841033227 87.204034377379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax RusinkiewiczEstimator 3.45150882566646E-06 7.14250698215982E-07 4.37343321298828E-11 2.80180623595391E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.110595647801695 0.165336574747906 0.0377518417753875 0.0644062006318108 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.229344702945907 0.322908728987618 0.184645613560726 0.229105990060691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.487392705392085 0.619221994854866 0.966412468389896 0.77600220868439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.62495115329326 1.76024770911137 12.573090683238 5.55762478157311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.82632790113721 2.94836222772793 39.1329029238606 14.6658615015598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.388935572768804 0.509055987305638 0.593439623978965 0.546690042898097 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.831528861087759 0.972566406354336 3.08316353902308 1.85387111581811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.77391667580878 1.9062610265512 15.1390713473246 6.61169549302136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.75751177485943 5.86815750224202 165.219084300784 55.3502423447456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.85937984188277 9.96518125136805 485.711480165811 152.002649846182 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax RusinkiewiczEstimator 4.51790530310399E-06 3.33693543670565E-06 2.44937226688914E-11 5.1361555533978E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0568135308121438 0.118699861273132 0.0087226403103152 0.0358693111407693 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.114432354377043 0.236495628718501 0.036666372013808 0.139628376157691 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.235918535003411 0.464882380563424 0.167726377976815 0.514265959396586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.861782272157384 1.24517148413274 2.79312644884055 2.96253133266133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.61065297808331 1.99139876676885 10.4554448860388 6.60328260148203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.190220027481656 0.376531530877127 0.106621624277791 0.347255547110308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.410425383321343 0.719338196762083 0.560245990925697 1.15236373642155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.953570737583417 1.32626641919754 3.48085529724259 3.31073044642013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.5187525816804 3.85527686484544 52.3187166665212 21.0452831429689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.25718747662402 6.57030541346736 168.216699197872 55.2322994236759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax RusinkiewiczEstimator 4.59676658919146E-06 1.42679384408802E-05 2.76580821773946E-12 8.80348882030721E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.135149889261545 0.080603620944098 0.0481150711062376 0.0157755180374328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.268572660771696 0.162778510511315 0.195056740254313 0.0616865798440167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.525598048704232 0.335971262232377 0.789352529812948 0.24369881811017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.4334495301026 1.13712338838032 7.26731228280419 2.2471388543813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.32652045975607 2.04013528908213 21.2675576437513 6.4212350202049 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.434399815060914 0.266263539403613 0.532456046203862 0.159407157096242 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.829781586092689 0.564972152733155 2.13871832059329 0.646926819352732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.55065864416315 1.24213039779367 8.75513716261862 2.68101591983361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.6093569215387 4.34921118895984 90.8356634659951 26.1151186571258 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.89732911372221 7.66679196335241 273.630020383072 75.3099804982955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax RusinkiewiczEstimator 1.49985367060274E-05 1.82924075536095E-05 1.24464070695558E-11 1.36724408286264E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.130642018258301 0.0823497358603368 0.0440632331102848 0.0165875287629327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.260592669724477 0.165432034376011 0.179085695327941 0.0647760262793137 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.515999046684624 0.336402258045248 0.732827092139558 0.251861274628074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.45361289053696 1.10600092145507 6.8880057505697 2.243918020143 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.34195887533941 1.97866862865332 20.0608868695331 6.31823388915417 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.414989321843087 0.268057901442897 0.475326990353943 0.167288655518255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.810985289958308 0.555777802468296 1.94909971918678 0.658794272970438 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.54412008573201 1.19539097400371 8.05998795137569 2.64426554686999 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.537480291837 4.19559595540475 84.3636838600684 24.9726066194019 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.77739699974626 7.45689431934041 257.558272423656 71.8138009548395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax RusinkiewiczEstimator 3.35394782449191E-05 3.33735131104467E-05 2.47133605715744E-10 4.70315718329925E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0859987535924585 0.123333186686032 0.0194054351410657 0.0379493979088625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.172436095511482 0.24625997021266 0.0802514840919672 0.148404954077025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.348193011536632 0.489511600329219 0.345683137762129 0.564607536111142 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.10662212524467 1.41022127213416 4.15291153255832 4.09722119916552 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.93811678466875 2.28139668212046 14.0883810442155 9.63904266374943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.286555615682609 0.39946086131567 0.233064044757499 0.38864350982374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.585053912901741 0.787862975375014 1.05940094586707 1.42465558868623 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.22351280272339 1.52467449404124 5.2742073629674 4.8133231560375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.16772440903806 4.48640373677729 72.4059170571951 32.31058341096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.41203352961349 7.70641063877539 236.9254942921 84.6550779496887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax RusinkiewiczEstimator 1.87554349486567E-05 1.97842763206182E-07 3.20299283097477E-11 1.58810465188605E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.105529970477011 0.0666592953454313 0.0296394306711031 0.0107902015084198 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.210076065331547 0.134046504025145 0.121285511758228 0.0417738219279916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.412888558488199 0.272957434010124 0.49941980604986 0.160458728804385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.14784023181366 0.925760210457276 4.79472737646447 1.41696261837044 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.8930584030119 1.67435109188446 14.2502745504926 4.06699479883748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.342385066326695 0.225615321456141 0.339851440140129 0.113709345835956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.657317818852183 0.471275757938488 1.39598547279929 0.439869290155482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.25517391519148 1.04122481636087 5.92362135223239 1.78659923998434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.82201713484088 3.63213642255816 62.4294511439617 17.2667729070426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.54656434184914 6.37639150442397 187.21928375445 49.7916751436098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax RusinkiewiczEstimator 1.36263037888074E-06 7.10493597997302E-07 3.31982305016365E-12 1.06922048055202E-12 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.089969753329974 0.0888215562383335 0.0251406237353764 0.0160284267084624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.182329163289222 0.179719785748649 0.115811747206929 0.0537121620567603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.379413955580529 0.375396500293642 0.54644911738321 0.190749033770727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.21180527464935 1.20308345249745 5.89432934552098 1.61341508011598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.05598776970212 2.04298338849287 17.1406276137447 4.44884213228054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.305287437084863 0.306052858544817 0.352395369708494 0.134262014885121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.640509321111934 0.64296941644371 1.62989351711273 0.503054872917984 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.32753972441166 1.33342776196847 7.15796831947747 1.96349978064466 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.1186028534808 4.13799163852186 69.8295547801685 17.5664512513094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.97943402092552 7.01456022272128 201.301231492896 49.3625737590306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax RusinkiewiczEstimator 4.2378770594951E-07 1.26927127701459E-06 7.52263898927791E-13 5.15037519426514E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.103387657348502 0.0871232173663887 0.0304989220244829 0.018018637230879 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.203318782501317 0.17771854924925 0.128951438280517 0.0691931894794215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.395313453942451 0.366799952638602 0.562395588467212 0.261475371584737 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.1980720345102 1.18043783284627 6.23630993576664 2.17119540582726 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.05171729950209 2.03873190446764 18.9069040079687 5.97334123651748 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.327481280402192 0.29765120980762 0.374026692415946 0.179995023888102 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.644166775462509 0.617602996481383 1.68303399287587 0.675455612448157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.31903028809092 1.29724637018268 7.7128932830271 2.6112829983727 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.19247291607263 4.17633350785874 81.2920451711727 23.4416646145244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.1809566884078 7.17237816454828 239.769387426841 66.1346787934929 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax RusinkiewiczEstimator 5.68292671766538E-06 3.82544017629627E-07 1.35312063686389E-10 6.06260760891834E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0662418119055422 0.1228937338669 0.0135195655036838 0.0347657973481988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.144403424649648 0.225812293739132 0.0745862073728904 0.105272002024554 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.326563049363521 0.414281186002537 0.429460120629752 0.302567613983096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.14273847461906 1.21604961467832 5.6556290006901 2.03499150858098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.98376645330533 2.04918985163577 17.2354949178408 5.35564466770959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.257069942666913 0.343934135579738 0.263999511381508 0.222180992102576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.576982187186581 0.660951198224487 1.4271875474971 0.69486802750684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.2515652702416 1.33028631164088 6.90407728499706 2.44821722051657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.02668646582598 4.11269799042926 72.5165280066897 20.568471643524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.89802785134565 6.99685668624971 213.460814715908 57.32738787548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax RusinkiewiczEstimator 1.86109111504528E-05 2.60829298871276E-05 1.28775687583046E-10 2.93728127375726E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0908548792929746 0.094134422359738 0.0214228108256102 0.0223311222953838 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.181673149042 0.188161042777165 0.0867886430720334 0.0880422030451815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.362956782194231 0.375647399144396 0.355629044637059 0.341311591619792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.07536197236978 1.10299946477177 3.49585455576042 2.5585226030005 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.79782205561545 1.8222849378543 10.7847971916706 5.97676367292369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.293536891716092 0.310633678816434 0.233239005638762 0.238933829768654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.585545285398504 0.618144743664077 0.969577041170389 0.901741376173134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.1575318279196 1.21236883126373 4.17565992821858 3.07222578945451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.68999894263764 3.75578862943029 50.9690663688377 20.5056234769606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.49461105793223 6.56392845822383 165.153047460667 54.1378277342224 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax RusinkiewiczEstimator 1.42328710064187E-06 2.05126620411965E-06 6.00136039358E-12 1.95295533642818E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0804025168714362 0.0989173129635262 0.0179576841969506 0.0241260440651945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.161087405595067 0.197407729851719 0.0765230802963834 0.0916185365255955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.325051254689898 0.390796399159851 0.346570450631073 0.327246853568215 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.04694618912863 1.1416385897005 4.3870927350576 2.16337493925713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.83964139028635 1.93327397519288 14.2335716594058 5.48220991172439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.266096282689391 0.316619019520295 0.225016720683547 0.223864067714377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.544562629829377 0.619811684636661 1.07368599585036 0.74894434301525 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.15312520497706 1.23239643792289 5.38039849791989 2.48718975314281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.83821881983913 3.9019721019454 63.8802997556547 19.8132459950769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.66755754446269 6.71764607845652 194.869164790608 54.6855375964794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax RusinkiewiczEstimator 2.20119782273752E-06 2.85762169352401E-06 6.24813508449959E-12 3.8396017044737E-11 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0878660791385918 0.0939253751093901 0.0204130072773238 0.0222151300919448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.17565394924389 0.187461265606898 0.0836055730227046 0.0863568713531885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.350233481776298 0.371562525848448 0.349718322682446 0.3211950872745 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.04109511188108 1.0747752353055 3.76783079059673 2.07968010340082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.7924858452777 1.83030857706011 12.1462120480582 5.09658840041454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.284321273777099 0.307257046778449 0.228886351501531 0.225975936085275 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.563320878000026 0.597690344864868 0.985687570754652 0.77132223641769 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.13646861211103 1.17370587888772 4.61488585669293 2.4391542440874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.73332806726411 3.7651707549938 56.2972009166448 18.3198778522461 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.5027778962791 6.53022668978985 174.644515642532 50.1176646409587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax RusinkiewiczEstimator 3.74452070874085E-06 9.48686732786022E-06 3.31111526365017E-12 3.7867642588318E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0888972997586866 0.0955113331151667 0.0206277754545264 0.0228126120462931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.17780570860659 0.190862410682344 0.0843150749173798 0.0891395883855536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.355163411227161 0.380440599273798 0.351311675682042 0.338178251614958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.0658199744714 1.1120223137923 3.74029567946452 2.29814543695852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.83768926121176 1.87903127332938 12.1249060621995 5.51979930600756 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.288737175533605 0.30641326263377 0.230576791033792 0.225449863930165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.574487990758934 0.606504310490536 0.982384031690865 0.809731721443663 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.15503938661246 1.19703557339946 4.51322697871036 2.61323514073934 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.80511623242516 3.84182439959262 56.2563613828957 19.066029061347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.65572439835337 6.68069898744895 176.857791646593 51.7281052484943 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax RusinkiewiczEstimator 1.54057748379559E-05 1.21485599356206E-05 1.43904163778274E-11 5.99012593312901E-10 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0951350407090234 0.0953742997117949 0.0232578016365657 0.0227528453696315 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.190156710733134 0.190682197485343 0.0943594634640391 0.0895218895099008 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.379648045577516 0.38072849565084 0.387700042516725 0.345386780245952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.11599459491078 1.12042778215665 3.83316239893455 2.51237120704515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.87261376900847 1.88527045134503 11.9346392432897 5.98232810215657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.30761144910525 0.308937768905581 0.256143947861628 0.234559915925006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.611359183846481 0.614625075236555 1.06649406423035 0.873751959236452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.20505400609185 1.21163005524016 4.63463057324397 2.90965482855484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.85668187429171 3.87261322787845 56.4114632379626 20.4716001500047 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.75921265414604 6.7868947970644 179.860903672104 55.1512963642555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax RusinkiewiczEstimator 2.16473563577693E-05 3.63874292844112E-05 9.50370056140967E-11 5.50059796258638E-09 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0924021117104381 0.0947918454736618 0.0220949789211658 0.0226789646945937 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.184776519243892 0.189547291588281 0.0894644334412651 0.0895319130449369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.369317940080878 0.378753707896337 0.36631030131632 0.348295552647021 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.09717519986393 1.1205675064927 3.5857196553151 2.68254477200487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.8296998624406 1.85467106383871 10.9688904796345 6.33790578990608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.306941890406161 0.307539120278309 0.254088917785845 0.233833034459626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.612200733314711 0.613413158122521 1.05271443983556 0.887621969529968 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.21021651453343 1.21035800492153 4.49102755751114 3.07779264912926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.78547797454412 3.77962910914906 53.1367690390571 20.8785073989437 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.65287862943477 6.63986070909346 172.324383010035 55.4185480328798 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax RusinkiewiczEstimator 1.34765814241486E-05 2.49547510941864E-07 4.63611207782184E-11 2.51789494667977E-13 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.120249440182936 0.0575634972871134 0.0374973534602931 0.00807284642558906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.239131093105626 0.116104560213462 0.151565914373926 0.0312784029331335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.465090068443908 0.241124932512928 0.603076901155335 0.120620235539087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.2245724598134 0.905720732845128 5.25142097664156 1.22339943201849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.98911951791776 1.68249026934208 15.1947325831307 3.72924058675352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.384931674812152 0.193689402096458 0.410040473148267 0.0823387290284487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.717669372748241 0.429116664659624 1.58146388474097 0.336085073761296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.32272286754584 1.01323902392496 6.31080922385241 1.52268397568626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.92499415354245 3.66196139223536 63.5632385231324 16.117758035986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.6860535208978 6.44603989241892 188.531471200779 47.0984335952349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax RusinkiewiczEstimator 0.00337544723774336 0.00344986228868369 3.61939036442866E-05 3.30709015410722E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.131100193528889 0.13151355651161 0.0620782162492938 0.0303722303361051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.274018702845149 0.274343421744405 0.299110770199996 0.105404824480902 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.579824715674011 0.580265010517696 1.40496553748325 0.395297708729051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.84353180325327 1.84604194431776 14.5633398329182 3.46053326882797 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.11665539088598 3.12116395545619 41.8001086913271 9.58992830938271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.4625177010448 0.459779623068349 0.891185924564415 0.266538738074136 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.969357389756471 0.965267682291684 4.0120404431626 1.03685291820316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.99618644132636 1.99024271663242 17.1870746321657 4.11274735645307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.13729029843488 6.1293585780382 163.489306636475 37.1567044194342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.3400336950411 10.3413702658526 465.073481643873 104.44065640446 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax RusinkiewiczEstimator 0.0187070966825358 0.0118576984965083 0.000907189886995062 0.000426348711690074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.150495846451631 0.128495454582823 0.069147160482196 0.0395642750898429 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.29141494108776 0.259743776146692 0.29546191165225 0.144049818315035 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.569762716687692 0.535199132205088 1.32828861889458 0.526497771457411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.78884890860685 1.75732968832076 14.8510430251235 4.53473748834161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.06431194450393 3.0339707391421 44.2572911568981 12.591333019816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.466061793385329 0.433771828427003 0.855640408861862 0.36567556861262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.943028712682612 0.913136518471454 3.95158089213284 1.39643269911721 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.95957645937614 1.93630297442182 17.9503441110235 5.5325973357822 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.19203793465941 6.18161869809027 182.852010633975 50.3209888931337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.5265201498147 10.5229491198226 529.771749297865 141.357144373743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax RusinkiewiczEstimator 0.00415391791568134 0.0119909625329747 5.41930241276231E-05 0.000385603835138566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.097648936515811 0.165857871442792 0.0349028140247161 0.0601252844298357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.222369375909 0.304629898452293 0.205508225926715 0.174490021351348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.5071731485526 0.586358138208629 1.13936951247976 0.543472148424227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.73038407303599 1.79484251130026 13.6408938292809 4.10727684247528 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.97344616803652 3.0324345356905 40.422949509376 11.0618229686029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.400575641666799 0.48174360438532 0.706302500151936 0.392169940237575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.891076293166452 0.962951406390873 3.59873801589586 1.34041585707998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.90168149650328 1.96582494252591 16.5447282501263 4.99054922550986 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.01018566518809 6.0742812253708 165.992204207668 43.4639314317698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.2031975364626 10.2825359035831 479.026238948287 121.960966920581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax RusinkiewiczEstimator 0.0380619795447514 0.0458987102026069 0.00426902840701305 0.00531374925275597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.136934818422011 0.1420893078138 0.052279894908947 0.0509805423344357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.265431805302108 0.271348655087831 0.198933245488534 0.183528513528755 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.524027987446026 0.533322354810925 0.80949824782174 0.672433497880195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.55118817255155 1.56559253642289 8.53935250767526 4.45116078005647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.66999495098831 2.68256583340652 27.6341563573832 10.9124639318247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.43290467738304 0.441737803103604 0.552559501282247 0.47464190470336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.851571425270393 0.868908086454055 2.32359799971338 1.64831505933616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.71494565015205 1.73571554264542 10.7444272792339 5.37337024098052 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.67787707986842 5.68083958198017 133.777914276786 40.7944336965031 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.91744943738409 9.91208242692293 417.507926032159 111.77365048373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax RusinkiewiczEstimator 0.0186463597119197 0.0200776894918623 0.000967264748654777 0.00112866930962439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.117293116099635 0.141576111447527 0.0410528213269284 0.0502064448155022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.233581503725897 0.277171536404097 0.177912671352315 0.177389419825013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.475179723358907 0.53921533072501 0.844588715316318 0.583089666777004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.57659844567269 1.64410327805985 10.8590862554297 4.08978627886598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.76299749465773 2.82753269372029 34.163681444752 10.8403232555618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.391095623053469 0.44828278840915 0.549457539526835 0.423340193510006 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.818070797714917 0.882481934065311 2.74410193496635 1.38399637846972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.7573038766885 1.81689465489675 13.6116587276512 4.91847036177666 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.76905896733284 5.82043752974745 151.604971786906 41.8105418749622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.9036576624139 9.94894243989649 448.928574407205 116.395237000322 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax RusinkiewiczEstimator 0.0227419787694023 0.0269698328930963 0.00151928069664822 0.00191327027338844 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.12646199977753 0.140333400657419 0.0453717522126898 0.0504051696098353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.248966387741558 0.274146897253065 0.184106438442536 0.183311837174151 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.491327488887916 0.532060426570136 0.795915746077441 0.612392510194549 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.55533907500934 1.60599697015448 9.78045944385583 3.98312926145218 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.73399050034263 2.78248907677813 31.5775517667122 10.3182732254451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.404395835380593 0.436301521819297 0.523976504934618 0.431026978702293 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.81251399236822 0.853234620853192 2.42988638500235 1.38035858951892 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.71887757442544 1.75608925240959 12.10757514984 4.69531927631876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.72369450548958 5.74509816999528 142.37339786481 39.0061773236635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.88451544062958 9.9003883956656 428.706092460626 108.491155165434 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax RusinkiewiczEstimator 0.0256932811435571 0.027978739601997 0.00190899692486027 0.00198167893051173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.131166283631708 0.138192615434868 0.0484928715981206 0.0478695133912478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.257504894523448 0.271266770496977 0.192838384740208 0.177897785608398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.50848196955935 0.533861845700759 0.811384928853478 0.625692179944423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.5760990901222 1.61390324750377 9.54878212706217 4.0984360878172 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.76784430517628 2.80262794455479 31.1094043037761 10.5108546874007 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.414495092708055 0.435382862641254 0.528414700250117 0.438476328522658 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.824153949157132 0.856871005466256 2.35650187863329 1.4435089367903 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.72613290387863 1.76396577252356 11.6396649965853 4.85260411605134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.77946638712898 5.82113938357348 140.864517460965 39.7159720453013 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.0193857236587 10.074595966415 429.20353182769 110.268371229517 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax RusinkiewiczEstimator 0.0368720295429907 0.0340777757480208 0.00401594299718862 0.00280338986485124 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.142739607921813 0.143940713688625 0.0565844486920249 0.0519398250518193 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.27766307668966 0.280772006499135 0.217942584915703 0.193358114522345 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.547254558104691 0.552704762144162 0.894047685567565 0.698358290359292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.63863433021996 1.65155497674165 9.81323138689966 4.59482615777153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.84701276017859 2.86435864179136 31.9456112786363 11.5635115058998 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.44122252520086 0.44603284331098 0.578522660334868 0.474152554607895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.869732473989208 0.875197517518456 2.48146185349537 1.60177809697423 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.76638142429064 1.77799117167479 11.7150570064819 5.28602280556299 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.8609604551221 5.89918784524989 143.612823620572 41.7127447522736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.2059645317286 10.2577896567654 442.257579955318 114.811002428988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax RusinkiewiczEstimator 0.0465582317606798 0.0433941885157752 0.00639833367304439 0.00462424347820221 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.142493734915232 0.143864216827195 0.0564947975060389 0.0522689722098628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.272841025264152 0.27741739639984 0.209147667027709 0.192152852094895 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.537753595019101 0.546381280392431 0.844315322897138 0.711386635020928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.58866423236129 1.596253594077 8.77759410806046 4.72504089528139 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.72358529126033 2.72537281032547 28.2989659749693 11.4680860036394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.440389972305116 0.451024334031636 0.563774495881638 0.498336130580776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.86742033269161 0.884443699072238 2.35884042735317 1.74054786558941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.73561834030723 1.75994489422695 10.7989614029408 5.65958666041923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.74250982578702 5.7674940545572 135.913400005299 42.697737024913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.0630737264982 10.0890663487592 427.90338083138 117.279168502203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax RusinkiewiczEstimator 0.0346889207800116 0.00932734571362611 0.00340011714217862 0.000203091561244988 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.172880381971268 0.0849707108375155 0.082659812744936 0.0174167426700256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.333426971710984 0.172639010156863 0.318299337440734 0.0661824935374626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.622332504758563 0.376454832655082 1.22805234221017 0.265007374435612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.70231205221722 1.45011210739579 11.648464580567 2.84019710055056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.85305807642163 2.6299232095248 34.5181080012206 8.42711679390117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.51588263808006 0.294811563376034 0.818434609356614 0.175830979982586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.952106094395206 0.681264846119933 3.25390633748115 0.762546602191574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.84298915896553 1.58726476192654 13.8945232964413 3.42250867355259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.70688049122452 5.48822171720237 143.138328486479 34.4976366099671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.72545043358757 9.50750570447955 420.036539716872 99.5721824520323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax RusinkiewiczEstimator 0.00864085495735469 0.00824837827169435 0.000230899481221466 0.000236522194378834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.575122062519632 0.581865373277008 9.21530218269841 9.01935695341506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.19187391558544 1.21441576987129 40.2021705401038 47.204996986538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.4354643635347 2.44992573112367 176.656109636521 113.519020140601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 7.11934318256026 7.08739297201812 1413.68427222353 427.768619218687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.5231086667609 11.4241795663443 4495.86841696137 773.72342878247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.00644168975325 1.93230817657366 124.841075457739 48.2449179751165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.93183612551334 3.80848133114679 302.805253800832 110.228060799947 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.56669518583227 7.47215349842978 687.453386035946 351.27048279526 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 19.9724949244407 20.0879621065751 2926.13348957007 1582.98751415856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 30.2929754965004 30.5149831380294 5874.86397518041 3081.34670992613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax RusinkiewiczEstimator 0.0333929405001562 0.0278761013593357 0.00328913481420327 0.0026869541043117 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.620698579761622 0.60196067707392 8.17103343683654 8.02505536264232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.2474069590038 1.23234412104209 31.315977284134 30.6460707642311 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.49585399395708 2.48771686400045 97.6279305649972 83.3677002043995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 7.32318868903771 7.40630650105741 609.097951217449 572.931107219183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.6467452343645 11.8131532779674 1277.03271334395 1174.99156114207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.0516062808571 1.96284622408287 78.8596164866735 55.4239671133484 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 4.13167104693999 3.98673431140944 276.252541203998 157.812582951034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 8.01843222750138 7.83083868207552 793.124783512497 426.312446696101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.9260763749689 20.7609284157912 3494.83957028041 1765.18458581469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 30.2124995588362 30.4610414653136 6084.84931846115 3086.88393370531 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax RusinkiewiczEstimator 0.0100099083352649 0.0223489527421288 0.00037517236058729 0.00169856647117723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.546513259542807 0.609787779148333 5.3946246352223 4.6904542677326 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.1585078102569 1.2165127643725 21.8325546586961 18.633216698524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.41444089689252 2.4623248940924 87.2635486686442 75.2420693641932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 7.19471820285721 7.2175322220659 664.510991184916 459.621419620956 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.584891987884 11.5532509492989 1497.5669588066 861.218411202472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.9331941184864 1.99705408331582 61.8885750077629 66.9898366596081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.92165936500676 4.01892333659465 199.092647540151 255.468948015121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.69793949530443 7.80264900568678 615.437731671101 575.003915834462 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.3296320143142 20.406028598911 3114.4065588256 1848.03293972126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 30.1103828579724 30.1347310169618 6079.60442970674 2834.56677201629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax RusinkiewiczEstimator 0.0974691950448606 0.104440533531223 0.0273780899902781 0.0347291349467703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.562099298891198 0.603539788512222 5.33063960918247 7.80745364139287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.11343036141559 1.18456268903065 21.8832940977477 34.7790586123593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.24257320994354 2.33270110544355 89.0926424369849 111.740490335826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.7835966690438 6.87281068560426 594.989960552067 545.625902378202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.1448144670796 11.1637859624005 1316.77745843512 821.855174429906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.89560308099806 1.85627707855795 154.548587282322 48.1356786812369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.74364395524553 3.71603127577224 299.510839674035 159.937723785709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.39128224249708 7.39535548945448 637.648635294912 456.210601899569 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.4072834689601 20.3968645645929 3013.21036446121 1793.718373453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 31.2567096385659 30.9324469124602 7732.59696137723 2959.0986862713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax RusinkiewiczEstimator 0.0384485688445798 0.0476781128016417 0.00457266522513335 0.00760335265274917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.562030287731992 0.583934671452249 7.19420667045091 5.88765924532675 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.14221545335987 1.1556818765236 25.3290038946624 18.7503338208036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.34193590687347 2.33476753910516 92.5462779218175 68.1602679296743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 7.16302986402421 7.09975876481619 650.466032977831 499.835056091485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.4343516586261 11.3152296780129 1268.58161798653 813.218169709701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.86451056688541 1.91979575039741 54.3942165470392 52.1648295383125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.81571487812779 3.86145877700918 200.843103437149 166.565512827067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.5662729021903 7.59631138231762 646.342575927166 492.651552833839 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 19.9813323380635 19.8355198785948 2999.54230634052 1559.80706322948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 29.7210787391222 29.5469601094296 5901.38518715 2630.59659641204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax RusinkiewiczEstimator 0.0531748478473672 0.0593948216531845 0.00822067974157106 0.0116195107568482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.542399754037648 0.577247261151037 6.4108348730694 6.4081657111115 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.10443471419416 1.1604198508401 26.2819048447397 31.6449615211729 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.25723517636023 2.36543614838012 99.3904843151791 230.270902845404 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.79483028420031 6.92052107197895 555.495102261999 447.772864513607 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.0306247440584 11.1771126927782 1144.32317212829 754.605029742776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.935813595054 1.8437560935478 95.2499879741699 50.0956726873532 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.87006521302676 3.66588711922921 276.19051325339 127.907464500655 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.72273569805065 7.31170209553375 799.597510839217 365.81651583948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.5158683716806 19.7571083825918 3447.64971410022 1439.0708234183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 30.6005975209732 29.8191093643456 6266.21680186673 2630.47913394304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax RusinkiewiczEstimator 0.0631760027662128 0.0675482534785249 0.011361921520251 0.0144082872085477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.541843619153291 0.535789778135413 8.84370272874367 3.74338295871178 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.08492443476335 1.07165356122109 32.8316782888086 15.3886199190087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.2051352104694 2.18504394523828 119.346835016049 65.1117248741183 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.7538197155546 6.71973655248522 680.366306301588 347.192998534592 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.0696670450185 11.0845203880151 1324.22622930817 731.735694771358 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.77417313740795 1.77144960615006 53.5485316475757 101.712979312606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.63268889048072 3.58096679565357 203.129978235877 209.961379786452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.31662689996343 7.16410820493623 712.488477377854 440.895408003713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.295052043917 20.0894638617614 3250.19301898481 1727.40725045765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 30.7218970342437 30.4554395882056 6083.47766789111 2828.72238756511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax RusinkiewiczEstimator 0.0853754315890858 0.0852143888690252 0.0199964000126177 0.0226403609719276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.585960882068377 0.575155947308765 7.94413544901162 6.10420387572698 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.13668310593301 1.13095742699809 23.9682872938594 20.1584410831574 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.26981260911817 2.26719400548201 81.4729614118899 61.8992068915763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.87985568839502 6.89682286362017 532.936666317727 365.125242340107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.3093304101302 11.3904193230663 1183.32027513489 771.043613841274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.96946835038977 1.841448528921 314.193799259433 46.2598450934036 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.88009250765336 3.73453394742336 475.012842769378 143.717840317415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.52164803964343 7.44198931068884 641.796145686173 405.361198836261 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.7740670024873 20.6463170658449 3516.82066097233 1804.91621766459 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 32.0725337458669 31.3214294808735 12508.2077060831 3180.58040382596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax RusinkiewiczEstimator 0.109044893342232 0.10877722282573 0.0337759006726967 0.0378194174841287 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.579025783796199 0.584825072128126 6.8880542388521 7.09083827686458 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.12404422217099 1.13467160236038 21.1161137446346 22.2211015885833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.22590066146374 2.23500891965173 64.7095810629704 60.7833376113048 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.79482043977835 6.74663752175919 500.811750890808 346.961186584661 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.2590768012709 11.1303643113607 1261.12765322055 735.990750655105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.79590209947175 1.85000234633195 47.2047234702234 59.6268468335239 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.61733091433971 3.70801472344209 200.335738881052 181.252883221317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.24445138031034 7.41307610993101 583.073932775552 475.209620609411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.4318010362126 20.7533587618929 3016.17652755056 1968.49394149659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 31.4456271985207 31.6047984001846 6355.62435242536 3175.15498222647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax RusinkiewiczEstimator 0.0674827863952801 0.0273415477027447 0.0118939740216038 0.0022167922403629 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.648568111345298 0.469393330927003 14.292641181459 4.23641548589251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.24494085859696 1.02196493818619 37.9197363441942 18.7052100762864 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.38636021407406 2.15160922222377 90.9169699671148 59.7391706756116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.88502167086582 6.6681413382981 577.455640379956 388.375730038734 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 10.9999200374677 10.8394488741542 1177.40476767394 750.641437334433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.92727327350422 1.76712504904877 63.2731666363347 47.4335407346132 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.77168372651306 3.70862076607847 176.526454648118 173.561910142057 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.44633359261386 7.48687116273423 640.594758795729 548.136943668348 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 19.9451152853381 20.0143121729338 3108.01072196878 1868.10394742949 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 29.766449779965 29.6450459270962 5820.17523241328 2933.65978073475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax RusinkiewiczEstimator 0.182656638462254 0.182679931517066 0.0971236469096454 0.125579105458836 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.202204242897394 0.197818673482038 0.160551503378009 0.155994845561959 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.221129693688538 0.218397494493213 0.204188613578454 0.196276742000346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.269392950302249 0.265722799421379 0.360485920801006 0.318648479739869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.427167157717565 0.422884752825747 0.97001316276604 0.711465045433192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.566333100473486 0.558761958567786 1.70101268245294 1.10565351116294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.249849793789968 0.250420929460811 0.283580216732345 0.284825664278699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.320642533195959 0.318852486368911 0.534676442292554 0.45527792147253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.44583942979251 0.441401670647454 1.06450230914006 0.778070320361705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.809130471132028 0.808336050331847 3.26835340534317 1.87265038694279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.05650959348727 1.05548155752777 5.32111923678291 2.69440157109859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax RusinkiewiczEstimator 0.486498071435248 0.487972643350141 0.688525281733085 0.858666537880538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.50857867496638 0.506320035679839 0.787687919702916 0.921091516334726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.527149348954869 0.523837909743364 0.866281676928524 0.978225795467824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.564864509887891 0.56365284540932 1.03732035362743 1.12349386305442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.700050178176121 0.709188627117046 1.7273920096164 1.65041200440376 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.813558581216153 0.827072325793481 2.3635438341864 2.09497595362415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.553221823021252 0.551612722142285 0.994226604861708 1.08092582146896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.614734286469798 0.612630908837099 1.30299521086448 1.30324075885319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.726554240326529 0.724111749464588 1.92443964339215 1.71757767461377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.04710660483941 1.04432823970049 4.06157993142707 2.96607203254028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.28096871484672 1.27587232223429 6.06782723355981 4.01217625979949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax RusinkiewiczEstimator 0.138150710771814 0.137147750531462 0.0983658751767399 0.0921020739702778 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.181003666812889 0.177382776049366 0.196338959013971 0.165312639562274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.228395358814474 0.229067177991125 0.357554648335119 0.291838077157814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.294146568125893 0.294413703627652 0.563674541484774 0.42069872758882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.511826023548827 0.524590613208512 1.48790457360501 0.931986358448406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.679888515485288 0.690427564932957 2.43562020742761 1.30155569192087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.259914226617329 0.260887242603408 0.447869988921403 0.334977065147989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.361251940417344 0.360196549224501 0.80245303506131 0.552807565555537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.537750320338969 0.525024582115194 1.64211290411767 0.912894815096952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.971017737553482 0.939622986878128 4.60482855677538 1.82374240708074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.257585252607 1.22695952410593 7.33069635023179 2.6192334814956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax RusinkiewiczEstimator 0.127709020218163 0.127480998343539 0.0782966860814702 0.0767997915766375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.157793112882795 0.159405182131399 0.143302156404166 0.135021862504295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.191270142847864 0.190066985093778 0.211215794130555 0.179130358406096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.257460651965487 0.256847605355183 0.399022796900289 0.311043588047275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.461382411237613 0.464950462980362 1.20202973263248 0.743499074466851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.627527973173351 0.630321043764337 2.08356193732469 1.14044608043767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.229193060731243 0.235872259260184 0.3020058911333 0.268013016786442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.324919651956709 0.324033398033937 0.615192679158277 0.435387864447817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.488674486437689 0.487688395548001 1.30157036563317 0.805735911272015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.931798635051966 0.923789446397436 4.07923608772627 1.92374032857384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.21489319155415 1.20471351991976 6.71225809432261 2.8076885416189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax RusinkiewiczEstimator 0.244690845136033 0.244114935634482 0.143857890910395 0.174736629206456 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.26267620614049 0.262412500398363 0.210667586408553 0.222111536923796 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.283387403829236 0.282307824826555 0.283686279488794 0.271253912211264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.325174420253647 0.32457715280176 0.416792368243541 0.372975339481612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.476623192119044 0.487209553927416 1.0203727374575 0.780442966309347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.604132896838948 0.622413549281614 1.6206394420321 1.14966492613715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.317474420837461 0.315192237990665 0.401897851752686 0.363631282697259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.386460246645802 0.386678582214437 0.658870723381129 0.554789286194746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.502723418536369 0.504844494834908 1.13895893753894 0.826125937375304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.905552880863125 0.909708530981724 3.64984840846017 1.97989197218266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.17002307328573 1.16895406012824 5.99202275170764 2.86138332912491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax RusinkiewiczEstimator 0.25663250145837 0.256289619667785 0.305082805564915 0.267955340028173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.272233590504235 0.270065652869486 0.360527871790161 0.301915113279546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.289640788063843 0.286369871149713 0.413874496116837 0.341043186187314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.332721763017664 0.326347998730057 0.620326230587709 0.451438982238678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.460567825960223 0.46097321221106 1.20240476644633 1.03344144136192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.567140143973759 0.572563408142366 1.79924512335882 1.35060887117258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.300721883196954 0.303746919153564 0.448221615313225 0.377940145745281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.355963973715368 0.362925624718574 0.654205197689615 0.540471997570954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.460953082534899 0.469340817289205 1.15495492793186 0.929555509210211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.757899894346487 0.76050418593086 3.09986480558136 2.08806323934578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.958689977606356 0.95962153249042 4.70110612559332 2.57046146242699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax RusinkiewiczEstimator 0.187669971183373 0.186910040717097 0.0918704356382897 0.113966932399006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.200474014796585 0.197136757023406 0.119379126023845 0.129916685077562 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.220730888692418 0.217215568535494 0.17700455835828 0.169255420024088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.264695693363346 0.261365799380534 0.32875457292446 0.277118757175826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.399850514534617 0.399095399639698 0.813981360546379 0.601373239601365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.526383883507787 0.525325556273444 1.42003189066158 0.915795165090357 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.242737853260925 0.23452391008474 0.244833391119534 0.209144158632101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.311292053720789 0.300373521035701 0.494144177585164 0.365583966115304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.424640449290307 0.41064346006669 0.963351241025688 0.628654848769366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.798168425693894 0.776725179011828 3.24469812202598 1.6790355179294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.04836085210851 1.03163786404635 5.2868803531545 2.53749113880635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax RusinkiewiczEstimator 0.35326847874592 0.353617004445536 0.581355666535656 0.51501467309266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.37662196231055 0.377072108876081 0.669831927391195 0.5759320448848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.404050453271881 0.402602076641988 0.775305734481884 0.63368085817616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.452722501575026 0.450569592214652 0.967190907470094 0.76780997035814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.603564664993936 0.613499999083254 1.69307215693453 1.26003787997913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.728495910284309 0.738089125485435 2.41672251828566 1.64052865302309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.439526308979367 0.432619477627349 0.915986877844799 0.722309574293956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.505724215448269 0.494456464090864 1.18784480322525 0.882036081119423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.623502475142409 0.60556157082722 1.77839489665243 1.20398438065981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.958696615227394 0.936709607911921 4.0752340363485 2.37275663664251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.18632374979146 1.17169623626911 6.00360590267557 3.37252158391581 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax RusinkiewiczEstimator 0.180236872447842 0.180696736582263 0.117125082609054 0.121680683218433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.19557076514528 0.194094258652464 0.170464480413835 0.156988510012468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.212594075115834 0.210558181944281 0.221920315510666 0.19889650891364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.248133195055588 0.245357539915802 0.338609967489464 0.302713834507586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.376302619173139 0.37202123580257 0.840860785547237 0.664861582532937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.478086021252013 0.476436501495459 1.29569859633121 0.906102773230837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.231509285925446 0.231335394842269 0.27562669235546 0.253912196410448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.288833987626898 0.288108951498107 0.48261382656837 0.409345693548512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.391302908556515 0.387498734617224 0.899678210051708 0.688267692144238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.702059191017267 0.688521574335833 2.96217978993734 1.60304668995761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.890748962884239 0.884674176697459 4.35620579062343 2.23339407027392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax RusinkiewiczEstimator 0.112383034626184 0.11240220006161 0.0454082208537302 0.0585079555323175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.121247651459686 0.119637647729523 0.06603133540298 0.0688382112060513 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.137419399482961 0.136053317388614 0.108076367422241 0.104894919743834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.173571517592629 0.170948760596974 0.199137067978248 0.168007590058063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.313093875596174 0.314127300070465 0.655993417812778 0.491739058068685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.439606654041043 0.441184269598695 1.26499728871326 0.84766570951875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.160627009676729 0.16117236526718 0.167117358134028 0.147773432271909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.224265209042522 0.223164168826401 0.374614035034776 0.307039905028179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.337890846192346 0.333045302390069 0.813659865425274 0.565963748510649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.667769807185762 0.664865002217477 2.71918278674134 1.52714809354104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.891619670410427 0.885218851597697 4.53400734147608 2.27003579764116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax RusinkiewiczEstimator 0.0986707403336093 0.097281753407046 0.150237348854734 0.130931704644755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.201153689746016 0.201083330120882 0.733451266417733 0.608192551213482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.328337913756896 0.328879841162793 1.60892715428903 1.29312622088548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.55046069735876 0.552246259384455 3.38606840029956 2.50857172803999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.22860214168244 1.22885963494628 11.1902471980983 6.47501407592882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.75822050419311 1.75537826523487 20.0492628579588 9.953014218136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.462814569644227 0.465963694812773 2.45344673426345 2.05074557375249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.76802531949126 0.773966313429265 5.23778074705975 3.73097543902639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.27806927137409 1.2935007051357 11.6184704172605 6.91249007729315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.64381749068648 2.70235541602623 39.4142856859148 17.377649061725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.52347196529075 3.58016192483157 65.319629074237 24.3057647355926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax RusinkiewiczEstimator 0.196948224842446 0.195685103615157 0.165370134103627 0.16372181412777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.315170737858011 0.311227840697576 0.928668733214399 0.768343712755893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.436559281569574 0.435825479467328 1.71614844929047 1.47052574238229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.655677778504991 0.649774028285681 3.40692740530983 2.62473367453653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.33147408374962 1.31504294833518 10.9770019316327 6.59951003399584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.86280594096215 1.8421460688581 19.4886486135234 10.0354723401984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.58912342076967 0.591350429031482 3.02958444090766 2.49098199821003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.903488232536211 0.904221690942898 5.94728201596656 4.31960920675082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.42244015245756 1.42493739089575 12.3875008266 7.54284966594174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.83085848820371 2.86323867910714 40.24558637479 17.9273433629756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.75628618412404 3.80948561662135 66.5504266927459 25.3997544656334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax RusinkiewiczEstimator 0.1094187691025 0.109710861408684 0.127938415786166 0.115201071882399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.215393578639636 0.212664099287068 0.65916500835681 0.556040119199465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.331981922114122 0.326208529516353 1.26508722727648 0.983382878408445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.5534660091548 0.548363581761454 2.79722209492072 1.96905231303944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.27116972810849 1.28486355896708 11.1729182397661 6.419830160284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.80167750256987 1.81640657928657 19.8708051783009 9.62162077318217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.471215012459725 0.469422660914291 2.25161189763606 1.65855090837373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.799848800770112 0.79767053833075 5.14774750280004 3.21844965882013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.3481653218989 1.34213704489143 12.3955853757439 6.3399926524044 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.76109761352318 2.75282150306125 41.3692670365184 15.0518439159024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.67149824854792 3.64344069643564 68.0934610708735 20.9997670891898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax RusinkiewiczEstimator 0.0881582380340035 0.088775204777519 0.0720639196276762 0.0623167295576389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.223893524220622 0.222134910400353 0.806854383851435 0.667783953768242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.369052576088566 0.366876944088279 1.79124339337942 1.40643572856354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.607160855528579 0.608319422754517 3.64126464411664 2.76713572737886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.31945387090255 1.31664806479849 12.0733646973751 6.80645959231589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.86080634213394 1.85594056626168 20.9491137973323 9.96831737176368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.502080856131521 0.504146334435688 2.67381403859321 1.99040325629172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.837970735513696 0.842925525234142 5.81570077817506 3.99140451484422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.37544244287444 1.37347615979865 12.8033159242999 7.04895909702006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.7676875106677 2.77555818152052 40.8296592715808 15.995234951831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.67828370780281 3.67877519727887 68.1177146066175 22.5053175683766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax RusinkiewiczEstimator 0.102159579351907 0.103362814522074 0.0646454783264964 0.062142484233609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.204003794080996 0.20037661018519 0.550603283080858 0.44054653266635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.330193635390311 0.32395381315547 1.32025234022717 1.01113407046261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.554357087585174 0.55055220979286 2.9778779425528 2.18273022361655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.27158493899292 1.28146894125114 10.8723965421376 6.25068370625701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.83065664881486 1.83887438433324 19.9712513704118 9.57315271007341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.464904031460085 0.462769533689396 2.25714852387521 1.66181311437779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.798031467212433 0.793957391373599 5.24512583710102 3.31446813983216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.34004106553514 1.3359780926754 12.0806639826264 6.270043541214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.83061471128178 2.84347753104211 42.7256553884987 16.2495377762911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.73625571936599 3.74220543466964 69.474678387617 22.5310105828741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax RusinkiewiczEstimator 0.1355638622445 0.136362772817369 0.207665238348467 0.18808494821668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.234183299264476 0.239326847417679 0.772761560593503 0.816081631961165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.342553991137096 0.347504010284138 1.60693589179633 1.38159695997482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.528803500933251 0.533906089659895 3.31556104213859 2.72423615148004 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.0891140920884 1.09074847529204 9.90657217139026 6.9675704807851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.51894329609231 1.4900558499441 18.5373309648499 9.523588642631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.460393028021705 0.454337493157939 2.49913091512707 2.12426014177853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.715845960828156 0.704777543354026 4.74438327616691 3.51960894599023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.15170039221014 1.13132483319737 10.9323599467539 6.73596780201061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.24612375040324 2.27877255051981 31.2117615933381 19.1326841775444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.96274254726492 3.00002715456739 52.837433151336 24.0263119381963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax RusinkiewiczEstimator 0.101985405818222 0.102299518092925 0.150947938137263 0.146040864124883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.200457817185658 0.20169945888808 0.719466236439882 0.696216911898536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.328341517161125 0.328628532885391 1.59143876772368 1.42760684441932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.54025387908016 0.537340198594028 3.30745915079283 2.52245557615941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.18613893895942 1.18558480552938 10.4459759270476 6.20896291228501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.6942894882978 1.69430712715988 18.734271702959 9.38189359344267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.463843985726147 0.462333591892392 2.65752595879607 2.04587610303498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.766539078141885 0.764689789636388 5.57984518641987 3.72054817973503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.26676765120215 1.26014936168025 12.2611466168638 6.86609002167259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.58291718172811 2.58402977238151 37.8227950403388 15.6917579213577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.47420738054141 3.46946293658947 63.850001316294 22.6609390987225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax RusinkiewiczEstimator 0.160989694639536 0.160404361334768 0.164623606028229 0.1433356196266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.273552972635318 0.272644352130479 0.822609520650335 0.675568320007833 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.390833620523047 0.388509510683754 1.54509916168066 1.19689924929014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.610714689825407 0.606763169889134 3.30263257263669 2.34625476432282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.29331232411392 1.28972084984488 11.0656474048474 6.53892125520646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.82970861180682 1.8152736141317 19.8626494719294 10.0061521729434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.527791440742782 0.531681436887248 2.54200790014451 1.97592975813614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.842827710016707 0.846198695017472 5.5139323612816 3.7111005227593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.35115274931632 1.35520443699076 11.8794627674069 6.74444614963041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.73026368035166 2.72040521926331 39.5277731162405 16.6384384104929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.60951994242065 3.60081245061949 65.26122257105 23.9975769674353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax RusinkiewiczEstimator 0.0913720183820292 0.0917012823614625 0.148461289377816 0.143054329933359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.166588020956678 0.171498633535146 0.548979050079624 0.584282906336336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.25975696278828 0.264740603792759 1.1398251010506 1.03984476721982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.429287254751421 0.434814688035572 2.4438900870043 2.00978506017527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.962644133378055 0.965189155074118 7.97270214627349 5.26147698152184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.37197145029157 1.37703779358604 13.8365579758045 8.13922982484684 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.375681449622644 0.374802853933456 2.09353457083233 1.7424156630371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.623693511733573 0.620882477392994 4.34530542858504 3.20284931987593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.02249911921174 1.01350028842088 9.22541028193867 5.75979728586789 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.09179206699501 2.10407771480733 28.2228940634561 14.3496821147383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.77821459441844 2.78949345128314 46.1183089023163 19.7413001137068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax RusinkiewiczEstimator 0.0669538277416921 0.0670828771539297 0.166812342867161 0.160903962429617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.149589565786142 0.148057271133655 0.559130231420839 0.510178757386934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.252195590386987 0.250740483931204 1.22867783399396 1.07045799908872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.434547730353241 0.42982101890218 2.76013804004502 2.10911271221061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.965473929980227 0.9545209482524 8.56493147831131 5.22231946650912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.38154968793966 1.37271485113303 14.8291279723043 8.32528869386765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.357435142630504 0.350952465867614 2.05850570259606 1.55150114785501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.600440117288602 0.595499637841301 4.16178632399971 2.94755024381572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.00669805069834 1.00250455100747 9.07607253672076 5.61995204287735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.10607051529331 2.1082494801658 29.0766199399995 14.0469395851732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.81943515049801 2.8227181974182 47.3049447918488 20.5129825721453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax RusinkiewiczEstimator 0.224789909803786 0.211523338003615 1.7285446933534 1.42923850602761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.744670612264336 0.734285978375479 12.9527867717686 12.0139089802838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.28466514739605 1.26726822931057 25.6568122314112 20.6912927009803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.22401426557624 2.20038549683199 54.8361884156946 38.5633383533394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.21635938208528 5.18080437272335 202.048699810088 104.941114265245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.52889848327303 7.51177229828005 371.322757387745 164.202297169783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.90550070276307 1.86993607493489 47.33115342408 33.2906167742595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.26352418944963 3.22453776523705 100.985321285852 61.7925227006657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.39804776281485 5.40132560026268 212.515416774598 112.031317491736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 11.3138103023747 11.3292913958229 731.053845577792 264.752806862565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 15.1461308616702 15.1098812019264 1219.15788831315 383.068436470271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax RusinkiewiczEstimator 0.236279932914148 0.242484250105093 1.10165641203279 0.882556013087306 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.816713580150893 0.823597119110037 13.890071245278 11.3857531027238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.37539654843223 1.39200940217437 26.8060105170539 20.7876182580644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.3716147627218 2.41201903283626 57.8161699455301 42.4294425195822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.5203206664871 5.56112079031258 210.311672800971 107.351626870416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.91321359558143 7.93587452451892 377.029768335348 157.533305994452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.98532668036079 2.0210642938134 44.2046579597541 31.9399875590694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.43129585841337 3.49245010266168 99.5319579432698 61.3573196288507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.75348998383244 5.86128894553137 220.982902517802 110.368718942679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 12.2366115921889 12.4077439902897 789.058795926132 266.191983518738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 16.4412825380301 16.538101923626 1334.1795713368 374.38809347877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax RusinkiewiczEstimator 0.25233057615287 0.237079849474083 1.41562746692799 1.18367524261221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.911904415638694 0.882968167616814 16.6675441965145 13.6915882137277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.55414047567586 1.521172259357 33.9241102150008 25.1945231735636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.63090299938759 2.6035576859732 67.3653191559248 43.6722204660317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.08756722347966 6.07501801257499 247.972819500919 115.093811814926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.68842465514203 8.6678511103799 444.831907500603 169.771305762147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.28930601136479 2.23268475898653 56.4646820572201 37.1541685811375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.87690472920261 3.81284004759386 123.014015683916 67.4250605387791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 6.40932065363691 6.35247220875708 268.78104738267 119.117659762572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 13.232633653007 13.0968399372034 935.930195347873 271.946293964686 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 17.5008489100327 17.4064304463968 1539.44577777801 423.326170718402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax RusinkiewiczEstimator 0.24106399166865 0.219221557869268 1.35503255585588 1.05948583850897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.874765814707026 0.85040002087493 14.1704988939748 12.9274631080627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.51860010197623 1.49493727549598 30.0007375422872 23.653988102664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.62538907473153 2.60494459569663 66.7381678372447 43.2600605782916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.04337586800985 6.01166556007899 250.800780384993 110.08901735415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.5571613603254 8.56608089644562 445.635582755057 168.513597742639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.25521372201596 2.12007454661725 197.979400855231 31.6742292515383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.94543555586841 3.76389691367521 469.85665496811 63.3908650669606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 6.28603060448051 6.29471453883333 271.77292127461 260.659372686034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 12.8430793710783 12.8750257608864 1040.84821922721 297.582074774847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 16.8867937054476 16.9922522280979 1528.46864318743 420.78453582704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax RusinkiewiczEstimator 0.247557719452617 0.241831385811941 1.7545802854953 1.60525237667495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.816419925454365 0.802243872647069 13.395865228816 11.2843920710519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.40853608243905 1.38809224122548 27.8251005250742 20.8405913871365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.46992682025122 2.44137482031556 63.4808416837608 40.5987007373492 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.68169925634763 5.67753828589154 223.330601295412 108.143774793827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.11239869490268 8.08670862112152 401.575607909862 158.543069505164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.10688391662899 2.09414732902942 48.5283517199095 34.3252926276785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.5815265266932 3.56204511690685 107.402454618255 63.0015213302436 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.95183506084667 5.92965059482272 241.106797614907 112.551821428182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 12.189563575784 12.1954777490935 802.384085806428 257.284055511544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 16.0725278485262 16.0522036201565 1304.89958879276 353.91763483263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax RusinkiewiczEstimator 0.215555751737995 0.220246741739092 1.30611697208751 1.20684901614781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.746305718135793 0.759824543213229 11.9659771486789 10.7958853176284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.30702364435465 1.31672561489428 25.4028068848145 20.138700896676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.25770399701336 2.26552427873645 55.4244148940728 37.9537219865472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.11018311231142 5.13232698442488 201.212145705308 119.122767831251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.22345657968521 7.19523718647542 363.28565230648 171.835163919116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.93496560877386 1.93458130926281 45.5564708459463 32.0905190049717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.32254493133805 3.30882499619802 104.333347385499 62.1778088333161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.47068176582475 5.45753776894162 224.02337076933 126.825317934068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 11.0645905882212 10.8851235847124 769.777089664583 300.830935662677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 14.395963171552 14.1549726598378 1211.74856312376 439.467912414377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax RusinkiewiczEstimator 0.235800615287817 0.222998038825619 2.23962776563693 1.90654675599531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.767328962294018 0.754633331230626 13.5248958549569 11.691517745728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.31657001575373 1.3056094725887 26.9131255255245 22.6000039141141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.29059497826226 2.26789804866605 60.6772590481135 43.7263815002495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.13821765502663 5.12504003391422 198.844250208686 105.288057938767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.29480980559957 7.25562820198945 351.949153178909 151.760479819709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.84870011763249 1.83542358511108 43.4963537699267 31.8189124762061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.16878309626767 3.14351839120084 96.6303409231893 59.960187694117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.25289935590223 5.24703227541299 203.582247965277 105.483062721512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 10.9850911195071 11.0170579422778 689.659913098545 255.231159207567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 14.7493719758246 14.7707451336847 1158.0471711455 372.328380536258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax RusinkiewiczEstimator 0.241564099628553 0.222738606971121 1.38033114462321 1.41867414538808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.814285813383081 0.773310856530309 13.4103380026891 11.4572559247345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.37575955251908 1.31477364740753 27.1086803055415 21.1574936873478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.33310590663159 2.24775433456113 56.3723624508118 38.0687753390995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.29472218964232 5.20482881864409 199.049162083409 114.251421910001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.53576041226373 7.44087128452025 353.54904481529 154.844368690338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.9583823472933 1.85217027807593 44.3126671198218 30.3225329431422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.34915394110092 3.21918335955503 98.0474596885124 58.5364522965299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.54746048763132 5.40362690127557 215.417866605174 105.34702801957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 11.3616335809629 11.2189199682716 731.244091960778 256.442961309702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 15.1598401309653 14.9448613625826 1198.01032756376 359.197322378081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax RusinkiewiczEstimator 0.214961320267835 0.199857548167805 2.05737368512268 2.09961729639239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.636099406407004 0.601466265733365 11.5751296404625 9.49892586529881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.07887650816492 1.02532535622377 22.5653455535274 18.1852092161038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.86589325059391 1.80072664693511 47.9231257438788 34.8553195592952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 4.1617516874536 4.1272633575699 150.688310115188 90.6289629912849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 5.93851015163459 5.91355763052829 260.875417320065 137.737635773609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.48972388406815 1.42070768782097 31.5340363893292 24.8614283518471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.58703668186179 2.50061978418321 70.0868493426419 48.0621781025462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 4.38171401672026 4.26629305661506 161.862740115789 93.0451468030157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 9.06886132853465 8.97060545127226 524.258797248039 227.653365413333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 12.0208329037059 11.852872563016 844.847308493311 317.021346562167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax RusinkiewiczEstimator 0.194641975719392 0.189310287574722 2.67382933359357 2.65492534105488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.603174819323349 0.595593772202524 10.6660340728022 10.1668070946266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.04622849474449 1.03466901551702 21.3518045362471 18.0558596302481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.81760412406918 1.80634907087932 45.7506452609174 34.1316765399282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 4.20701767180662 4.18230199642783 157.320105576132 89.3828335531118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 6.04120801997518 6.02039639513754 274.134233676564 138.710750495759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.51538043956332 1.5108764638947 34.7215878388384 29.4143350573097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.60890896766248 2.59082106395249 75.9515277611948 53.1026324979712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 4.38776308612107 4.34638306220571 168.714349844824 96.8395687118001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 9.04245571590447 9.02209878613798 532.580870447639 233.916740468238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 11.9915913740775 12.0345275540255 854.208341156221 342.395882561881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax RusinkiewiczEstimator 0.124262445349756 0.123101507818343 0.0415879827618817 0.0698342472433085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.124330641387565 0.123252617851941 0.0416468671499991 0.0702573157131497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.124738434643324 0.123657450994512 0.041861288853806 0.0708620477306522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.126282454174707 0.125171025931139 0.0427043457917861 0.0725438760992279 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.141036428565538 0.137948626960795 0.0515890350507553 0.0836816603777933 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.163811375979674 0.158616920895243 0.0694760208465643 0.100672908094025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.126470430422458 0.126726836175985 0.0434355376088101 0.0801997732604719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.131006324199625 0.131734517420631 0.0474253871705274 0.0929845561766871 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.144116367220025 0.144559285519339 0.0575985679645783 0.109991564953606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.225315113616618 0.222471664843035 0.140717342056429 0.17215875238598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.324345822153625 0.318219237235973 0.317276479246882 0.289010223747134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax RusinkiewiczEstimator 0.136523809820828 0.105874026560658 0.16859723514694 0.0606773340777369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.137110351119539 0.106118072203183 0.168799959315303 0.0607678725906386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.138282453375012 0.106767543789375 0.169202814558845 0.0610110424419524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.141848410261107 0.109169964237612 0.17050804746648 0.0619342658612174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.1623161378269 0.126611981711106 0.180361171693881 0.0701192238977354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.18694316809186 0.150897688078816 0.197200618218089 0.0846945016391076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.138724953844298 0.109184789665316 0.16889744160924 0.0619076339769442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.144113417572503 0.11616622185097 0.170641658804754 0.0648091735205074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.159641367502145 0.133583250084388 0.178534048407581 0.074111201513307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.243861261538 0.225320712814963 0.259372711738018 0.152813423650688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.34112339855842 0.328259008760027 0.435379257022204 0.287166419031238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax RusinkiewiczEstimator 0.144027653307613 0.137092740419289 0.0483857566689789 0.0624768110698777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.143886874902813 0.137138310006548 0.0483451699720988 0.0625301708329677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.144016091827432 0.137461986489327 0.0484730855467293 0.0627667482251277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.145056497780037 0.139083531455197 0.0492335811862535 0.0638350308773257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.156749967475452 0.153764918232335 0.0586383345351664 0.0745393905008274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.177675287666262 0.1761100086318 0.0786354406227096 0.0935770429088243 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.144967641403581 0.138811299581133 0.0491944344536081 0.0637673407685898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.148135777631439 0.14265021294731 0.0515884378311035 0.0664922343880864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.159674457748178 0.154956340653503 0.0609674173509939 0.0756653124360439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.240842083098582 0.237545884094399 0.16045909474857 0.154972647624382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.345635496089687 0.337044769664295 0.372676523514136 0.293156648497001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax RusinkiewiczEstimator 0.032601432074746 0.0330597921147068 0.00303780333133132 0.00363932290566075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0331735934897225 0.0334685170278366 0.00315390624321083 0.00367803125948022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0348638254869284 0.0348802025492481 0.00345590818210274 0.00388918906117528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0401278922145373 0.0397260404584224 0.00452018256723045 0.00477685948589027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0704727537489162 0.0698856930818421 0.0152238423261898 0.0138704029357728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.106250905790382 0.10562774484831 0.0377002349027485 0.0306511589112709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0377581817312729 0.0384604334598506 0.00397620495925477 0.00463386520301393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0493110876849699 0.048311211171214 0.0070684754999198 0.00691180870282671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0778744418535526 0.0731931490108061 0.0200691213006763 0.014556946694652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.211231830378079 0.193973032189315 0.182387232834135 0.083184206495293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.352468939052814 0.32729503688773 0.544464388639887 0.212651808565355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax RusinkiewiczEstimator 0.0598898583772775 0.0550626112632649 0.0158011542549532 0.0135300680985867 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0604639380932825 0.0555838100574341 0.0158877188112169 0.0136360605062655 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0616379238745272 0.0567403425363196 0.0161172323403435 0.013865554152403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0654258081350888 0.0604062588517378 0.016976741725577 0.0146463644130019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0876962369263002 0.0820543700786527 0.0246849320621149 0.0210630750022858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.114791909076955 0.107413025652899 0.0390461823011372 0.031882530146408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0636060151546714 0.0595127412967321 0.0168002289842542 0.0145935863474394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0710965597993209 0.0676502640771707 0.0190566675670706 0.0168502845114184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0906204015369667 0.0888564378218872 0.0269832360357146 0.0245334608108617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.192959908998825 0.190175740390305 0.112482888714545 0.0907907939179246 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.310945013876934 0.299220081238508 0.307062259613294 0.206432478153338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax RusinkiewiczEstimator 0.00997411698938266 0.0100969467020186 0.000248670681708148 0.000323092738042458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0106700615257213 0.0118034764503989 0.000304332457343231 0.000446310166660055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0132965024513298 0.0150818680508853 0.000511198303104508 0.000714616510389642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0215533570873282 0.023479909585553 0.0014595809105063 0.00163083845864083 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0623303221595652 0.0619979906309154 0.0141391177052337 0.00958165739969909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.105175782174468 0.101578047736453 0.04369999993249 0.0231533864077417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0184366183205136 0.0190940159614297 0.00109442264916024 0.00110632608856148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0336442081154268 0.034231120684207 0.0040365571420925 0.00345301027444859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0656176835104056 0.0661325400167881 0.0168137204069027 0.0118751884421705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.205072050280702 0.199928556456633 0.187825358996115 0.0866523071791094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.352693770191287 0.339197076672499 0.574092717700751 0.215317015285328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax RusinkiewiczEstimator 0.252829704912104 0.211880980031886 0.490975248060176 0.273576011113626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.25279977578168 0.212185901823065 0.490706213170749 0.273885039775033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.253171630719511 0.212740541063266 0.490948307774146 0.274457157977132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.254875818120296 0.214593449513131 0.492347903438339 0.276183024486773 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.271515776641268 0.229152731856978 0.513153660074416 0.290010295217239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.295234776037779 0.251418427089813 0.560844248711189 0.314546907591568 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.253151057330853 0.212614888648543 0.491413892189545 0.274315459030428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.256634224448159 0.215103128969407 0.494480805032982 0.27660512470428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.269708115606907 0.224552699607359 0.507756718647548 0.285557852625368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.354399488819909 0.298664385450655 0.639045455219134 0.378133022401216 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.455221842737613 0.396053297371345 0.873084074225461 0.541576969984048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax RusinkiewiczEstimator 0.195507101576115 0.214557779382684 0.155945859996251 0.178657214263866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.195473552094064 0.214424402937087 0.155904674454623 0.178558655554653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.195674768457863 0.214535322734771 0.156039323552023 0.178653107928747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.19664815079369 0.215493354738915 0.156786236934623 0.179427905705742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.207010612469484 0.226755031581122 0.165836536786072 0.189654363233441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.225015638132262 0.244887868512986 0.184029609968578 0.2101108370227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.197064833328699 0.214782897027046 0.156494303897252 0.178411072801204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.200618754135862 0.217715804554725 0.158735044072196 0.180274275003853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.21249602986007 0.227816721305371 0.167952289918591 0.188970034564736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.285575306422754 0.301808364028334 0.255688036390243 0.280085963269617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.37629959864615 0.395792362324694 0.421655714145552 0.43066137550487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax RusinkiewiczEstimator 0.196734627208923 0.20215711316364 0.138648301630806 0.163984053077828 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.196722720336594 0.202600373177857 0.138489045584784 0.1645031556839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.196840715502775 0.203188624382607 0.138444401733426 0.16515419222995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.197708778980078 0.204705321274568 0.138786164856939 0.166809090680144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.206119321175534 0.21487770464268 0.144779956909856 0.178020430821145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.220612314524485 0.230669289193872 0.157969396315834 0.196407141610576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.197637817404076 0.20352237427378 0.138968515522628 0.164419907128242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.200244508053319 0.206398605569036 0.140526858450881 0.166227177026678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.208059653123349 0.215436288846863 0.146515840459013 0.173410872373924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.262619611768473 0.276448256523133 0.208181083898253 0.241399449484919 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.338903698473062 0.359160292526083 0.337429966174577 0.36434462271662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax RusinkiewiczEstimator 0.0649699918676254 0.0583087877667388 0.0160552618375644 0.0141976753945885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0659239164005479 0.0625717358136468 0.0167873923711483 0.0473704529762192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0666698075219769 0.0630192091365172 0.0162332349218423 0.0436476993298969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0692489282682502 0.0655065166745296 0.0165169779000727 0.0426172081867666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0860828443481075 0.0830349591536357 0.0223816532251507 0.0475151195874803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.108203416424347 0.106096967690913 0.0345495715687053 0.0579428805753046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0690620832144646 0.0614827303374686 0.0242725354138353 0.0151805172348673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.075056215525705 0.0676553706559466 0.0255667954367481 0.0170028298854976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0910923770362498 0.0847840630130831 0.0312799360253256 0.023495936121914 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.174065050357308 0.172185731435842 0.098800859884336 0.0809212959802996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.267310992692536 0.272102298739566 0.247330306748572 0.186967975834024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax RusinkiewiczEstimator 0.0487022398251631 0.0519325955356576 0.00750767171678902 0.00866360985846313 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0507675076135649 0.0540376331022151 0.00801207624925743 0.00920940131055734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0563056630093639 0.0592118674003939 0.0095044148558085 0.0107183217551095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0728918098988706 0.0755070636769656 0.0153521593960435 0.0164410833524847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.161190824807496 0.166506391241274 0.0793377812840318 0.0709658610625901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.258271545349973 0.266577989895878 0.216774532394628 0.169255742947178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0660980901749237 0.0671609066056398 0.0128628662950343 0.013254714621284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0976121802926597 0.0991486420380454 0.0280324503312303 0.0270163683264809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.170259047226766 0.174583156970657 0.0897589141522742 0.0780833602029439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.487364546435883 0.502856577950449 0.853725473530409 0.544518024331192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.832310651992776 0.852417623704792 2.69264124014302 1.39666394719422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax RusinkiewiczEstimator 0.0474963208147625 0.0466494871351565 0.0129726388806191 0.0154330620401791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0506729660924342 0.0492203381964185 0.0136617398964531 0.0158301195065743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0574654154684167 0.0557804101335773 0.0153737719263773 0.0172364452996664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0755760910599986 0.0742326579936655 0.0215522791673769 0.0227009061106417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.163996254610881 0.166629050750812 0.0842562745834897 0.0755272567855135 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.258299830806711 0.266992122377909 0.214721102588848 0.170806046747917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0675010183975371 0.0683005416645086 0.0185026250403281 0.0210522183073638 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.100897502136888 0.103436400221891 0.0340274035420121 0.0357180169886872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.175711440613635 0.181761460842022 0.0970714177363556 0.0887063122111561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.499719985741479 0.5157177000136 0.877300933418639 0.539609938790394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.85072786207154 0.86991670297604 2.76074611060144 1.31849074693977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax RusinkiewiczEstimator 0.052073899821208 0.0536399140241231 0.0125634544918817 0.0138211118519601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0550135568828353 0.0561384780591675 0.0132708136943133 0.0142637350905172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0616651039475046 0.0621792601740169 0.0150344738679012 0.015682059013603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0794448190220439 0.0793292662212582 0.0213054880936866 0.0210544192914996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.166103117918768 0.167419416652248 0.083212997223672 0.0721634784326934 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.259480047732958 0.26373213942469 0.209823003741716 0.165335193063103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0727598886310245 0.0727876767451965 0.0188017323537357 0.0190780381253704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.106344187830122 0.105440515725901 0.0353903217931095 0.0325760113084248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.180912657786722 0.17976666906725 0.100451111225966 0.0814358406874192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.502475790434073 0.506031000089779 0.868763458421262 0.521092344748587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.844225265225431 0.853433432246859 2.64030355253767 1.30608876418619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax RusinkiewiczEstimator 0.0582929686409117 0.0613642006159771 0.0100312435126522 0.011860157628855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0602459015736397 0.063247146814114 0.0105764640977261 0.0123806786625085 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0661304140725273 0.0683865378391938 0.0125167492098347 0.0140355280716687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0844088477642953 0.0851651245487462 0.0204471360570721 0.0205243447863119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.186365835422383 0.180441248243466 0.11085487935851 0.0826399436933272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.29948837021534 0.289316623279178 0.306675210969037 0.196159060315066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0771216913884429 0.077016726780243 0.0169024856198521 0.0173099998055726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.113707103913747 0.109559690130094 0.0385754278063727 0.0328920622968921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.199748754783862 0.188513297561499 0.12973007106977 0.0895003475715995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.577514136899536 0.551091510291941 1.25450880778972 0.627864482308736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.979272728005229 0.94658404787398 3.86375127310557 1.68660847865751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax RusinkiewiczEstimator 0.0945606975858523 0.114346948399566 0.049158532247193 0.065611977423567 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0965297402157672 0.115719072142334 0.0500068286285903 0.0635046295206865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.101226150023588 0.120172520351508 0.0520496405416928 0.0644238316418145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.11493632008737 0.134403521793464 0.0591826765776034 0.0719228127435862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.191587340874203 0.214768884790359 0.125739102668894 0.138804393367766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.279871937229192 0.308243926256707 0.254612714983583 0.252556512559299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.108880703016376 0.129047409506146 0.0562085157437936 0.0762806630814346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.136087396616729 0.157720817558917 0.0770870784708208 0.121272060442121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.202146246133747 0.225414538558777 0.152640000890027 0.189177397005344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.502534261115425 0.540201175785997 0.868195027175945 0.706947637831829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.827555552266027 0.875346107606359 2.47505024514404 1.62016916735365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax RusinkiewiczEstimator 0.0302327125292538 0.030640798705255 0.00254499080454204 0.00296469558335019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0332406861010107 0.0336451911405786 0.00307073965649606 0.00351622819036029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0403828329293812 0.0405771918955175 0.00460250449938098 0.00502356076297717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0602051744622983 0.0599500204523183 0.0107995888196942 0.0106440696441975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.156429011615449 0.155310584440884 0.0836456071570871 0.0630499401236647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.258352626332232 0.25609753358123 0.24653142002976 0.156182272098781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0528827777261331 0.0522259454601537 0.00834114880965421 0.00800237291606999 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0897211361294991 0.0881556843175991 0.0257838007705765 0.0216439799573649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.169368110664192 0.167844667567816 0.100546036091393 0.0724444956475893 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.507269642635424 0.511831756983592 1.06144529185345 0.565630311513952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.86805940852105 0.87537097387655 3.31191626726417 1.50557122788857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax RusinkiewiczEstimator 0.0212700523240993 0.0261478040145158 0.00151959695507326 0.00253481154580104 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0265852929764541 0.0312178382487725 0.00228394563896587 0.003308621671526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0375147828300827 0.0426864090970362 0.0045456079728012 0.00563502791982866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0640523098123278 0.0713400717495317 0.0139844535718463 0.0142796428674673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.183925010850796 0.19925866085413 0.133784319908439 0.0936384594692659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.313739391034316 0.332677140228362 0.419626049599123 0.239641297800555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0514497659968429 0.0614178476865113 0.00858672313194705 0.0106950659473501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0956265797100967 0.112149014341889 0.0324198660795176 0.0322213444009341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.192313493585672 0.218206720699505 0.146216754539209 0.106836514564786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.632584834397633 0.667104657169346 1.79673532767969 0.796639939364188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.10769264870619 1.13852877045517 5.6934631381189 2.11845095365928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax RusinkiewiczEstimator 0.0178231824694391 0.0194156869068768 0.00158239391099096 0.00183382309125717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0222427331518845 0.0242445413701593 0.00203125924946126 0.00233005067834813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0312589231495783 0.0339642610475369 0.00330989952379936 0.0037115251218693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0529307790250525 0.0574116883574052 0.00841083846960998 0.00895452304489398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.147583208706286 0.158566994727471 0.0675921329821249 0.0571332045643107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.244976508606841 0.260427615499128 0.199992953904369 0.138205337927052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0450641558083879 0.0484125223791863 0.00624307490814441 0.0066829313089797 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.083207035326692 0.0893444094666054 0.0206005483995179 0.0203046221906319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.162355281852033 0.173588520612422 0.0825569541591291 0.0691559730503296 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.50209305126314 0.524503038956783 0.923347130011467 0.477360333312503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.872600713500003 0.902390465757718 2.98486148082362 1.20166547382052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax RusinkiewiczEstimator 0.129936801631425 0.126479575899134 0.102699698201604 0.0830425750201352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.131069327319951 0.127510163605693 0.103300598164952 0.0837783954003847 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.134375742921692 0.130699763637534 0.105187248950542 0.0855617908271589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.145701091455504 0.141724576172069 0.112474544030644 0.0918166045174563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.218968598908156 0.212007179354967 0.183765163010007 0.148068444942878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.307006991511173 0.296661405979911 0.323015869029177 0.249682345165531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.14151127052292 0.137626557027634 0.109344306929425 0.0902078658621414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.166737495463629 0.163283561444946 0.128301908898627 0.135984178162274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.23136700899429 0.223620549448599 0.198722125897277 0.183234813266592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.535977776797743 0.510689362245471 0.943949474832147 0.660002244892238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.861830087930935 0.822964740889412 2.53545291230076 1.52177558099478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax RusinkiewiczEstimator 0.0112128290663568 0.013477376072806 0.000413862374979707 0.000527723999775743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0191330515825781 0.0222607119405132 0.00120991302038225 0.00143939592191588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0323395881960629 0.0377692971681842 0.00362722310262548 0.0039306003800528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.062111258726944 0.0716695629254066 0.0146055478917438 0.0127579570703894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.196859041100954 0.214676099318882 0.171319543534713 0.0930180633834108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.343921560951375 0.366082596113634 0.546784138108482 0.247394583200726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0489494100610018 0.0576641032353613 0.00893811537650434 0.00863223336688446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0988946661648987 0.112476377989211 0.040829531311247 0.0289914686005089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.207187922618013 0.226647991591224 0.195262258656279 0.102370751668635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.68552322412411 0.707167725243817 2.24893448211118 0.822066835544337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.19173578777964 1.21137407422093 6.81145838912261 2.27646478456758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax RusinkiewiczEstimator 0.0618093066347834 0.0591641609727473 0.0115090834098356 0.0104454027622153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0812643660525348 0.0811969346834594 0.019338397790995 0.018925426856366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.119569657302609 0.123562481630819 0.0425957537956765 0.0415651271727908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.211901973006694 0.220234042032077 0.141010991446777 0.123923247298533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.617692985702644 0.623255348052442 1.38580493176987 0.840010280350248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.04790034639118 1.04177587818484 4.32087937953499 2.09970279822102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.176349262938717 0.179559530799006 0.0965556983944051 0.0850336949252012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.336641276640244 0.341163420477604 0.376328510744946 0.283927566175609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.670867936196133 0.674521158761481 1.65411856002495 0.995389754628095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.11834163206478 2.12189438854613 19.2063629175964 7.87893547769812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.67562772713787 3.68579690184607 60.1306343585288 21.4590237582249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax RusinkiewiczEstimator 0.092950096286384 0.0992216945470213 0.0292181009169832 0.0306207122747971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.110005708396235 0.114028468360046 0.038220065274516 0.0373330023329191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.145306246174201 0.146052052531775 0.0632504133793179 0.0561702077364245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.233125084763719 0.226172333822486 0.160951688027961 0.126647850202728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.627714092591234 0.590845243019175 1.2647404283249 0.777942962996832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.03601196133864 0.979577749708715 3.70172284487625 1.94744424559277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.20084119290355 0.194552956947685 0.118359468857969 0.0949041961224384 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.358327934858923 0.335191562432259 0.384816832549598 0.269263446265362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.689433612276041 0.635751493034315 1.52277888316796 0.890493421452483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.07883948265917 1.96542619565624 16.3366765994202 6.57798309250992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.56135200632131 3.43067005007395 51.31931327344 17.3374251179363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax RusinkiewiczEstimator 0.0409944872841938 0.0331770774913576 0.00465732475812075 0.00258098779804304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0676117045517649 0.0528891082027299 0.0128673909618792 0.00644667850646866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.113613979992496 0.0868222319830035 0.0376545945594452 0.0165015293099753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.20451134057481 0.161673486764381 0.13669220172294 0.0498984117638709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.598423643491379 0.538174070288835 1.41807420419608 0.395087265069997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.02522909313282 0.952569474658988 4.35478221956076 1.0925118141636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.176968159570103 0.136043924166501 0.0991684666742388 0.0379643813340458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.331050402528702 0.27998796540837 0.395633871698423 0.139964833244577 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.647162845992347 0.618696009323804 1.70531143200572 0.558682988987177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.02752703019959 2.09995440872987 17.8055477220721 5.1764602771191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.44857055628663 3.64428970392374 52.0086431062365 14.5747162138606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax RusinkiewiczEstimator 0.0859845440264226 0.059523947292587 0.0207551090999108 0.0089953394707809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.116211168392016 0.077300025477214 0.037723744321295 0.0155786352678957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.172052064579458 0.11660220081302 0.0862189760372938 0.0355184415847096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.30102247807762 0.208291390051269 0.280357887846686 0.110330999100995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.830746255301976 0.615021924119467 2.41794727982992 0.850066205611815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.37061431213498 1.07100864737204 7.17072227370384 2.36023897955468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.234528242033301 0.178718507160252 0.169398617493324 0.0835648882779775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.433626493224327 0.342252548010164 0.617741041084632 0.287626092135902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.827337546607163 0.693644654409862 2.5079831569414 1.06545466544551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.47878358008782 2.31538281704414 27.0485359501398 9.49637537268596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.24411504279287 4.12292449807485 83.209352367153 26.6237139131507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax RusinkiewiczEstimator 0.0936053025749913 0.108850842517 0.0344073189988659 0.0405350472575352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.108519446512401 0.125599673489817 0.0420075364408504 0.0497583422013477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.141229717011607 0.162288450899272 0.0644744599209166 0.076213250200455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.223976596433108 0.25582458914691 0.154455495798531 0.176199047972889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.606964960932798 0.676354456384142 1.22140924158092 1.08243616137231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.01851867381701 1.10339647156848 3.70172811154605 2.61028608222654 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.194528119180181 0.221339560332213 0.118352952151228 0.136949251084881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.345098061877514 0.387740796251459 0.375874292927685 0.394533372585746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.669362475157855 0.731720881176129 1.52011246382608 1.26747707877664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.10111351935973 2.1534309080896 17.5627513670826 8.53202018081305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.65468424256109 3.67416234004226 56.3502496499374 21.9320453502624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax RusinkiewiczEstimator 0.0384220277109685 0.0412657497914577 0.00508187333634033 0.00575559504754008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0631453495725504 0.0667266424516236 0.01267758216374 0.0132158843462645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.105816745283172 0.111447644274694 0.0364850287661319 0.0338482025463089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.200865965131816 0.210266977706095 0.141506060047334 0.108477253448051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.613562660723391 0.628720810149469 1.5501548500893 0.799081330800487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.05372946931225 1.06866313259139 4.8491842163665 2.10013822284057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.166163438085721 0.173423577604383 0.0960158595101284 0.0791318022072561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.326569401949654 0.34005584731852 0.4090019896546 0.275479808129591 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.669141528816971 0.688391484926788 1.88703516342514 1.00560378492841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.15017251876288 2.18461826497603 21.3761067768704 8.43006922835075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.71139063048182 3.75602593861536 64.7887752977325 23.2564371589703 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax RusinkiewiczEstimator 0.073137927687094 0.0779641820907723 0.0232384330509972 0.0238805129159929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0913827733932771 0.098232510051009 0.0303101804205072 0.0315830445909242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.126717561683405 0.137730233816602 0.0512300257400215 0.0532437932069367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.211570835822963 0.230417271651219 0.136536649853007 0.133719346717572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.593117191305116 0.630894903528576 1.18030301408429 0.851717253205699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.00176313605923 1.04692373910173 3.61311470380688 2.08442123855924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.178588584353226 0.193280937401391 0.0974277477796111 0.0975605114090711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.326115447780096 0.349944625109112 0.332818669555966 0.293727051317911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.640347467051483 0.675709456825313 1.3946364590107 0.9787752244783 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.01469333866931 2.06808602379197 16.0466904216104 7.02446003854876 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.50975513627048 3.56861041900837 51.0687651697883 18.4822486259973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax RusinkiewiczEstimator 0.0646718222683104 0.0567036455689335 0.0124618531684091 0.00995757755244171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0861958684547405 0.0757219296614213 0.0213693632351829 0.0165079927957712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.127899052496252 0.114711679039326 0.0476971428646096 0.0357401304615151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.225916381104693 0.206640842977793 0.157084566085139 0.107975252361807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.647401639255159 0.611279367904647 1.50040894484686 0.781899708271002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.08640474631739 1.04413591195722 4.56924527363638 2.02790234467539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.185545952048464 0.171485047276991 0.105017809928494 0.0769748028608612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.350111652414993 0.329627097764775 0.405794592067405 0.260133888091585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.695030128246191 0.663259296173002 1.77267785345806 0.925126230147391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.17137247496519 2.132695912315 20.0088625101991 7.48383091220988 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.74292899693991 3.70739794847434 61.8053098556231 20.3402962392172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax RusinkiewiczEstimator 0.110297889195803 0.111562492646915 0.0916748720409939 0.0478455360671649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.125186285294558 0.126395149495124 0.0907616105439603 0.0555482541616268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.157545230275922 0.159515083808687 0.151314803021208 0.0787384435358994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.239670252042612 0.246043835157415 0.330683462888431 0.320473262733103 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.610297122827878 0.630422480518342 1.42693128690886 1.23823059312425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.999865482200149 1.02887884972684 3.63718550837922 2.47392337965516 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.206779122188821 0.214810431223154 0.184244897431442 0.314155522219948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.351653216926803 0.365652071505564 0.456842639604258 0.632824401753544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.661536996110856 0.68515984168287 1.54326784456576 1.6364526918744 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.99828315565085 2.02239347276471 15.3833413699344 7.62871561814609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.44973852289926 3.46174181838595 48.6637003469596 19.3105230418174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax RusinkiewiczEstimator 0.0836242670011404 0.0513290189152089 0.0204741568789532 0.00681093266205869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.121534879293462 0.0660606302777127 0.0408121689565272 0.0116751206873627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.188340831173099 0.100357201211702 0.101638070437904 0.0266653962279393 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.337587467051382 0.183511220413819 0.347316001863778 0.0858722181744127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.925180339012151 0.596784679102658 3.00206252345115 0.763626107628024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.48945330248933 1.09366160747266 8.6143702311085 2.29048883318526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.26612392330102 0.163765225972573 0.214608822009128 0.0708032426365864 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.49432112504166 0.313876429471437 0.786126334170072 0.243321314007158 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.933547809702993 0.654090071830752 3.1171528545458 0.948152755087263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.70518770810898 2.36207852581414 32.1545766412358 9.53423474536319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.570862547381 4.27137306234562 98.0066033657391 27.4987648982697 NURBSSource NURBSSource 18 180 0 NormalsMax RusinkiewiczEstimator 0.00536661199231196 0.00181405369870378 0.000113068601474568 1.51291792210949E-05 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0184769071910594 0.0171804724390923 0.000806122634639385 0.00102145016722732 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0348068794951341 0.034226246820398 0.00304675123668104 0.00389530603390146 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0685129903938061 0.0686782901268004 0.0124112728987665 0.0150692341690033 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.202285448094729 0.208600119917365 0.118802102333303 0.127628191646136 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.333221398159666 0.35013623751344 0.345786530030649 0.335593681961805 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0570407401674932 0.0499636691100205 0.00833682288510341 0.00721252686250307 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.113282060964715 0.0999960151629369 0.0342235265272105 0.027942094091998 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.224004207683466 0.201262795207224 0.141198241158404 0.107061885651471 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.637867329346705 0.612391230944365 1.36492923021767 0.825013725358063 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.05142604172608 1.04515205083783 4.19637723369578 2.06963444053358 NURBSSource NURBSSource 18 181 1 NormalsMax RusinkiewiczEstimator 0.00253361059438504 0.000699020912178512 3.59689363978711E-06 3.65430904122916E-07 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0249225715526325 0.0242489098619392 0.00167576426139334 0.00166874266546392 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0496835034679764 0.0484756168432438 0.00701044160104171 0.0066188746119959 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0996022026141051 0.0970338478034721 0.0296821929720285 0.0257268972542699 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.299030631049347 0.29153920406504 0.310238566014095 0.208310106242502 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.496979935897129 0.487193960582052 0.955078743146542 0.541219769916963 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0744377260990168 0.0838578427163046 0.0159160888445306 0.0185421055229495 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.149167406376266 0.167817984182124 0.0689923203914777 0.0709090613291334 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.299344746988107 0.333734012658025 0.31653580060836 0.261439115052704 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.926199376884031 1.00468252199049 3.99091667815524 2.07669559511233 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.64638448068323 1.71695785510056 13.8162405008616 5.89212339506434 NURBSSource NURBSSource 18 182 2 NormalsMax RusinkiewiczEstimator 0.00318181187177535 0.00295161553816809 1.55951808600954E-05 3.6619011765574E-05 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0133172069712375 0.0190201861183711 0.000541348771491518 0.00107903143988813 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0261160401298549 0.0376366192533761 0.00224713488332043 0.00403959123070131 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0520775371171563 0.0748690211832844 0.00946809842535841 0.0154638288126019 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.157091265824104 0.223683203635206 0.0964868950242927 0.127610988776733 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.263603497067584 0.375834223878689 0.294775475331891 0.334260132225557 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0424794339805378 0.054544906427351 0.00730978930996241 0.00854355872220936 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0842969826285737 0.108742944332854 0.0299040631706979 0.03308722648639 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.16480044724467 0.217926413505506 0.119677284232698 0.127534702486269 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.495617825446728 0.660252351561441 1.24647517912417 1.04483707654367 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.888998851741756 1.09649572738315 4.24324616746174 2.68714498478103 NURBSSource NURBSSource 18 183 3 NormalsMax RusinkiewiczEstimator 0.00140512493156092 0.000857864996794667 2.49760059738354E-06 2.9812677531999E-06 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00922857155208317 0.00674819806540223 0.000199173224237563 0.00013463457001765 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0182469958570089 0.0134508220361127 0.000821725470999311 0.000516373433176913 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.03634002706311 0.0269136606737967 0.00338615168699195 0.00199785598307841 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.10848426200218 0.0808417997694526 0.0324356126784217 0.0165242720710112 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.178395832786 0.135247282548081 0.093329669521316 0.0430303713945383 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.033242510838068 0.0232912457328033 0.00280823155993475 0.00144843939898392 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.066355537439093 0.0467539869722845 0.0115180734871863 0.00566251302187861 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.131503041021996 0.0937819579661776 0.0471575496958769 0.0217491633710407 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.369992074760196 0.295003940613807 0.441518823193231 0.167501343295571 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.60814512830954 0.525536192826292 1.32335154137397 0.45456163258236 NURBSSource NURBSSource 18 184 4 NormalsMax RusinkiewiczEstimator 0.00139738192581148 0.0011797522025869 4.22194726955219E-06 3.68718457924898E-06 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0116321351780311 0.00788774822206884 0.000341639880092679 0.000159183998935607 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0231968697732432 0.0156285962772937 0.00137965923284997 0.000634790010210638 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0463640790307162 0.0312490111479946 0.00561583226459246 0.00251577239459253 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.137747088494328 0.0954016736006586 0.0524776494724077 0.0218228792229106 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.225453077988185 0.162820685174877 0.148400032146115 0.0584351348980933 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0383614746728961 0.0255829514510716 0.00399995070952917 0.00172146504877204 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0763052345827575 0.0511221574497203 0.0162957980268337 0.00674298902746764 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.15139614163618 0.102380065387588 0.0672689347476106 0.0251683858165944 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.429709857090925 0.332302152542807 0.634793721822707 0.211214618917688 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.698173812616661 0.595626803581118 1.84330752703636 0.584973944145158 NURBSSource NURBSSource 18 185 5 NormalsMax RusinkiewiczEstimator 0.00145085773375922 0.00134834059004221 5.76411631218035E-06 6.07160650918025E-06 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0397159738579798 0.00740423307634745 0.00430847478905189 0.00016176824089734 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.079076159048971 0.0148304507563627 0.0172004015532938 0.000619882230709425 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.156866905544173 0.0308992782838634 0.0683389887721527 0.00252320022710987 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.43142114795616 0.133723021289793 0.551973109577652 0.0515301044933908 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.661228278044861 0.284060256408144 1.43394410690675 0.222725296614913 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.13320523604568 0.028677370907268 0.0487631444644506 0.00241659271509316 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.259881853535288 0.0637784340418964 0.189780293205784 0.0113630686096378 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.484088699123578 0.16403911660695 0.708370357017679 0.072156121680248 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.2027214307444 0.755453903551169 5.72442382717264 1.22799685409435 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.85976318884427 1.43103604244852 15.5323925622815 3.88285147701634 NURBSSource NURBSSource 18 186 6 NormalsMax RusinkiewiczEstimator 0.0015413823774969 0.00204840093443173 1.35792825790049E-06 1.76934977917721E-05 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0279053221716576 0.0096902858925192 0.00198909736612091 0.00030267126396616 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0557716113835466 0.0191556080228178 0.00811778177273297 0.00110255696023606 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.111498335976098 0.038308271832134 0.0329423492438766 0.00419852421005195 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.328311673834064 0.118457305573501 0.292494638539202 0.0369181404789845 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.534821828740123 0.207615832739011 0.806446870062811 0.107602896802198 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0922997292161225 0.0324940993376811 0.0233063866037853 0.00305813316303956 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.183837027362983 0.0643158712806501 0.0936672815045987 0.0112814431551633 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.363944670493502 0.131305409824483 0.376394850471175 0.0437054386230222 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.977972000861219 0.485397423738691 3.13885749747886 0.480809075002522 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.51016204484674 0.948571798426332 8.59792177233725 1.63626209110367 NURBSSource NURBSSource 18 187 7 NormalsMax RusinkiewiczEstimator 0.000807810350151366 0.0040074118062279 6.31345830232574E-07 0.000103995286863483 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00823977837554785 0.0175676839247656 0.000173873183979959 0.000938110547749718 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0164144288136045 0.0343338143681274 0.000716331310608622 0.00328302762084425 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0328128362248725 0.0683059256732427 0.00293874373023954 0.0123998765329606 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0987443113274239 0.203519572333645 0.0281943797964895 0.104982784914409 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.167457997256612 0.333362318364402 0.0862335861637261 0.273183638501344 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0261393659190767 0.0565378939025317 0.0019006791950588 0.00961430488839691 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0523241280000759 0.112846147911672 0.00787439442218114 0.036913796410298 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.106118708013203 0.223955880708353 0.0341727746581596 0.140067700966367 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.359383508070036 0.631489280921379 0.485045327134657 0.973406590067255 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.672792503772342 1.00073908170984 1.88763496804397 2.19732964619704 NURBSSource NURBSSource 18 188 8 NormalsMax RusinkiewiczEstimator 0.000386883449923189 0.00240984392108668 3.23330187478671E-07 2.49943443860489E-05 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00980148503972213 0.0198895204903514 0.000277537309856499 0.00124908926410019 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0195964647650488 0.0394137040551166 0.0011176032618451 0.00471498161974466 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0392074145500485 0.0785463607429864 0.00452669029631229 0.0182777777819279 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.117980208698668 0.234436380186469 0.0427995017938107 0.157953735097145 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.197535276773792 0.387356886381845 0.125230333184795 0.42261182763372 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0289769499423011 0.066815672612374 0.00248753028033676 0.0137070326474027 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.058021723293722 0.133431474074978 0.0102162627163546 0.0537332755048613 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.116625480869275 0.265255850424239 0.0434674440933427 0.207670791427729 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.372597593651089 0.724179495965222 0.544441442839374 1.3341332571351 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.689356954105019 1.11182873352859 2.16627730021357 2.93018381226693 NURBSSource NURBSSource 18 189 9 NormalsMax RusinkiewiczEstimator 0.00194815292276001 0.00387184165536868 1.52634208849647E-06 3.2545123999894E-05 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0255910320934269 0.00985293964992935 0.00157367093638967 0.000233047283944368 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0509651539754841 0.0187172329087464 0.00648901349666533 0.00087084096456621 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.10141252619852 0.0374751936196954 0.0264146908889592 0.00349051736224772 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.295095701444265 0.119604566678678 0.239294081475009 0.0340466109306034 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.474437447224576 0.214794632191027 0.654464733258544 0.102030934729837 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0788003133408269 0.0289503336737168 0.0168054269342724 0.00211484485060741 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.1566481622701 0.0579974472204938 0.0681495997780213 0.00815272936944726 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.303804719586666 0.12276257839081 0.268043718292011 0.0333765391090868 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.817129112183299 0.453905607547577 2.21857245437422 0.387859150687775 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.2874930069289 0.861949198039228 6.05062923896864 1.23972211526424 NURBSSource NURBSSource 19 190 0 NormalsMax RusinkiewiczEstimator 0.00339423595559695 0.000833275532327861 3.85769073356995E-05 3.1772523627167E-06 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0187564958859597 0.0140714663138292 0.000939915300506142 0.000564652523566217 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0369104974830036 0.0280632608611894 0.00380607478501358 0.00219106831642007 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0733638488804269 0.0560723661153147 0.0155483225207752 0.00854819271114536 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.218216911661299 0.168157285025706 0.145392975507106 0.0719462313802261 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.36162257550566 0.28064994222187 0.415067655480225 0.188079709317644 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0550598360650941 0.0454752607473855 0.00801303788473606 0.00578297943814065 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.109408534543846 0.0910644527903396 0.0327439113359436 0.0224831179761668 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.215578263235063 0.182632940427634 0.134185764609797 0.0848632848383932 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.630942515859243 0.585492729723941 1.345647225129 0.686763086827517 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.07347078948312 1.04747993167759 4.25231820671474 1.8636686756506 NURBSSource NURBSSource 19 191 1 NormalsMax RusinkiewiczEstimator 0.00172672603439227 0.000343613393093058 1.67415256463449E-06 1.31759280320861E-07 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0350089553288053 0.0186009291662907 0.00312215746912294 0.000979515325442124 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0698533599967521 0.0373731863298549 0.0127975381355433 0.00388930338373361 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.138947573655938 0.0757080023374169 0.0524117616866634 0.0154269879521318 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.403323695434906 0.242922783040423 0.496558747581096 0.148938651960343 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.652066382810928 0.428369787064011 1.43193202444766 0.448605619755159 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.111918147617195 0.0600439756980551 0.0339455950686672 0.0105302240159849 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.222229037712697 0.121512403256057 0.140979291893667 0.0409722940323082 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.432222839022372 0.253688976203485 0.584842211294225 0.164720155735848 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.18250358717609 0.888553034068844 5.64159458017711 1.57263059734346 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.91309849913948 1.58684197862454 16.3906243466035 4.52792937267467 NURBSSource NURBSSource 19 192 2 NormalsMax RusinkiewiczEstimator 0.0023031884843698 0.00179287954813368 9.60023187843797E-06 1.16215009020263E-05 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0101987983208422 0.015639527864764 0.000362296600688008 0.00071467599258723 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0200830414957615 0.0311576881520619 0.00147779466562071 0.00276457081144215 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0399175899031663 0.0622864636338528 0.00603766532452572 0.0108484379520755 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.119018003399523 0.18814093717793 0.0538887240324748 0.0958347935382701 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.199754468382898 0.314452348009347 0.154482311988595 0.256289039000589 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0357530063923994 0.0511840988107759 0.00427740613861649 0.00772109886823096 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0709731239469783 0.102559957705134 0.0177132117118624 0.0302860793341538 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.13948644402431 0.206269165871521 0.0728714058119189 0.118289198519751 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.417504721738386 0.616235055494737 0.799321275663572 0.89932960353594 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.758757525599948 1.0265538221782 2.92232257557562 2.21903188060635 NURBSSource NURBSSource 19 193 3 NormalsMax RusinkiewiczEstimator 0.00103885820024306 0.000858577678072675 7.06767440962447E-07 2.57186179636251E-06 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0175249064569825 0.00571622721737343 0.000764762083685149 9.05430557733575E-05 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0349749005650682 0.0113744230066358 0.0031364011828498 0.000345719078989508 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0697216088140725 0.0228324986506505 0.0127743205740177 0.00132965555930903 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.201527713000006 0.0754438992579175 0.114395687513367 0.0129572778219144 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.321075771639641 0.143373243271035 0.311827320147061 0.0439881871573861 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0548928685435114 0.0186085055242971 0.00788573051185168 0.000848931833317041 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.107934017479049 0.039170785240185 0.0313773346760615 0.00364512513889632 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.207058854306071 0.0882065660647572 0.122002939573352 0.0175002730208979 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.549895325696216 0.358802965924498 1.06068182266242 0.239319620670873 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.878362261034478 0.694962485030447 3.0604596874934 0.774253426058726 NURBSSource NURBSSource 19 194 4 NormalsMax RusinkiewiczEstimator 0.00102858396992598 0.00162373774421164 1.55375017193716E-06 5.82566953110957E-06 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0198201479542344 0.00778967750029522 0.00100285387537771 0.000152859640284187 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.039538213565352 0.0153367952050851 0.00407818593990077 0.000611025114339708 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0787366028166419 0.0306556979129772 0.0165206165224342 0.00241737279611859 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.227068533672477 0.100940271090707 0.147557815586623 0.0234990550578062 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.357832219305167 0.188967993779638 0.400196272260509 0.0751339705545367 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0613255813278915 0.0239196457246728 0.0100055820606414 0.00179268154940289 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.122138279435309 0.0485862478330475 0.0406753459897096 0.00705975507287439 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.235177936750741 0.10626161766797 0.160185747881925 0.0297931173230701 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.626609560124349 0.426514024499078 1.42871471788941 0.365096123703559 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.00893850740662 0.813243360021366 4.20464877519446 1.16620535990213 NURBSSource NURBSSource 19 195 5 NormalsMax RusinkiewiczEstimator 0.00159879052497854 0.000621103930111453 3.17124636942334E-06 1.21704762307069E-06 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0248732104692858 0.00676849787636414 0.00160860473997716 0.000124917719449681 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0497109035432182 0.013556179316513 0.00656109168492531 0.000493139877803667 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0992719315311395 0.0273526998809233 0.0265872554610055 0.00195047099972931 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.289728242714688 0.0897238927368136 0.234419580410693 0.0186636900021128 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.460466971453325 0.170866806482307 0.621112216492146 0.0644486766249637 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0805876055623281 0.0223383148594758 0.0174822280752262 0.00137298928983014 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.160219729765406 0.0454104736085512 0.0700214363059455 0.00552616420031016 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.31196440594165 0.0979492632309259 0.272141622499183 0.0249919683820995 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.807608793098197 0.421745582334738 2.20519452915924 0.382690809842217 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.2432302204632 0.844903283238193 6.06192676213959 1.33664785570106 NURBSSource NURBSSource 19 196 6 NormalsMax RusinkiewiczEstimator 0.00207963670043077 0.00111177085609039 7.2084517731031E-07 5.03903802993757E-06 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0197567160362949 0.0136886785950768 0.000950322555360997 0.000525627318270881 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0393897490424915 0.0272969304718116 0.00395770963213763 0.00202846304863898 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.07867492169969 0.0545498564975946 0.0162385307803329 0.0079187216479918 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.234129513002598 0.164081274814318 0.150277072728556 0.0682517128568393 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.384106073389314 0.275273274886412 0.420359936390256 0.183551052899295 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0673982985410423 0.0419689276700986 0.0118418306528731 0.00507632146426954 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.134664929564382 0.0838440849172125 0.048329327715764 0.0197881607162808 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.268148913434745 0.167672442586451 0.196750106202462 0.0762452333106273 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.761140029632649 0.523641558200701 1.77590432602694 0.620184704338736 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.20044290468552 0.918253223544009 5.00777757320639 1.63667224855052 NURBSSource NURBSSource 19 197 7 NormalsMax RusinkiewiczEstimator 0.000841247278535371 0.00129365059078404 2.90342321683924E-07 1.05780858812632E-05 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00624228290781205 0.028765630076238 9.54171661886898E-05 0.0022522605811017 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0123776040993856 0.0575301267623487 0.00040241138012392 0.00888467045247246 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0248116743167422 0.114956462688827 0.00170093497891457 0.035108350090651 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0809309475873542 0.336066586631389 0.0217355792668614 0.287193545453919 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.157638806681894 0.54030908386213 0.103003143995687 0.708827467191759 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0197404849636007 0.103449074335021 0.00104401398919553 0.0302391104301942 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.040702149225687 0.205902183426172 0.00481490815951111 0.117773057747104 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0977060159982426 0.396448617497649 0.0381855256528301 0.406601898172104 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.47662638383581 1.01568802737565 1.25691853089163 2.28753141986963 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.986886135733736 1.53575138597846 5.31816197926989 4.96153450082375 NURBSSource NURBSSource 19 198 8 NormalsMax RusinkiewiczEstimator 0.000277311743663317 0.000994648888992562 8.86101889362847E-08 3.79278640418294E-06 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.00734542257143929 0.0383829113549596 0.00014862454400722 0.00394787964684265 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0146886197676002 0.0766915877569768 0.000607106286058153 0.015650700490228 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0294648103394257 0.153118629138983 0.00251572700650021 0.0619674135304258 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0914592419751792 0.452116410031242 0.0280310171383899 0.523886585637404 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.180250142886074 0.718455392117602 0.130055231211356 1.23883418661203 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0208652079634759 0.117992783624351 0.0012872687252445 0.0369294566402896 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0420135202766444 0.235575949157444 0.00540473551882367 0.146096561108241 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.086891441617848 0.466461303907409 0.0252961910101907 0.562475142927833 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.451091331814833 1.20047145967725 1.02256199530141 3.09381901870187 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.01498415843689 1.80359297398701 5.38204189221685 6.19016512827454 NURBSSource NURBSSource 19 199 9 NormalsMax RusinkiewiczEstimator 0.00135602408328161 0.00204491450536651 2.4138014539034E-07 7.02221308123023E-06 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0143289711091762 0.0108371443002991 0.000498072550945407 0.000287642080259394 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0285972084037987 0.0213624965982619 0.00207746505650423 0.0011427695387571 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0570932665496442 0.0425307962391441 0.00857860704793907 0.00450757044312525 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.169857497004921 0.129883185419656 0.0816175557067225 0.0387043641908029 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.281975982046728 0.219642584968944 0.235614836927097 0.103200987506136 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0455631675324868 0.0382987069716987 0.00558859686723806 0.00371252691056883 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0903713204867419 0.0766631768321867 0.0229639082959619 0.014530734975955 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.179828713781379 0.154002311111997 0.0954773298721641 0.0556476682983344 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.53890168416847 0.483750693647401 0.945613912136408 0.457148410309485 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.905459237005743 0.837515193839012 2.86029853348833 1.17940460959059 NURBSSource NURBSSource 20 200 0 NormalsMax RusinkiewiczEstimator 0.0337803050765542 0.0205632429369132 0.00480442200964335 0.0014193108324999 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0451984776066692 0.030983902800541 0.0080941171335405 0.00280773253519841 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0665020671697689 0.0501783030123198 0.0159907642056249 0.00716761817163905 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.116274285205928 0.0929754405883919 0.0460402225530213 0.0243376670788407 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.329589510006874 0.271117170018516 0.374204480982688 0.18875881414647 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.541438395498572 0.453098418460332 1.07056159898455 0.470177455849677 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0965801406116547 0.080687586032418 0.0303865140302151 0.019272362993278 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.177823981695496 0.156467951521651 0.1015114169911 0.069657221145562 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.341504003284593 0.31056357215693 0.391617313794778 0.253640381096628 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.981681551188457 0.960510689052065 3.82851067268014 1.84346693984075 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.6824526253025 1.69114041921957 12.0932477128519 5.06523613772841 NURBSSource NURBSSource 20 201 1 NormalsMax RusinkiewiczEstimator 0.0508217711652986 0.0236186889709362 0.00662849393934105 0.00172432139444837 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0744735491870871 0.0379815692554265 0.0145890102767538 0.00441031692270704 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.117440970853795 0.0666620240355774 0.0385566744080161 0.0132200769170356 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.214095237268566 0.130868200753363 0.137559014113463 0.049236358725328 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.592771493623395 0.421532748798113 1.26693482823279 0.458082030579089 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.947872406669747 0.738162108741773 3.69178549404373 1.28550223982913 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.169805694771092 0.0978960916626001 0.0878386644958015 0.0258107734762744 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.321589934037358 0.196754259477418 0.342023358196853 0.0966240925804795 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.615465399116647 0.406516553366296 1.42928780671389 0.379448279804575 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.75605065376753 1.37271785140766 14.9126918290909 3.88709182498161 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.91725292346535 2.47216228711654 43.8906093919858 12.5306244140529 NURBSSource NURBSSource 20 202 2 NormalsMax RusinkiewiczEstimator 0.0173374862643225 0.0524265087921113 0.000839142006306751 0.00910017878338282 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.022980100080813 0.0597459377258139 0.00169065913156358 0.0108369681526244 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0337781938111594 0.0738435387291214 0.00411849948429346 0.0154930937775123 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0600793844378018 0.111629051215164 0.0139608273294559 0.0332180247081932 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.169383365079446 0.288559184854316 0.121401534158542 0.194598189658725 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.28728662259716 0.465703940367536 0.375800072883335 0.467165101107511 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0503160038140328 0.0978312510678401 0.00834189070124012 0.0254432127438281 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0958383867051485 0.165314093283473 0.0325123670100804 0.0692024295269014 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.193816479375313 0.307490862233657 0.14238436871328 0.223034122761844 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.638870594393799 0.858835628868393 1.84520742861313 1.44813977779794 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.18648008571935 1.42282502941286 6.56298430664717 3.58152763978965 NURBSSource NURBSSource 20 203 3 NormalsMax RusinkiewiczEstimator 0.0241641317704699 0.00756824676615353 0.0015882875223379 0.00017945773097267 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0362955772231829 0.0119854093888311 0.0034643250146692 0.000392519764847671 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.05719498930815 0.0195739759383635 0.00882038553800074 0.000994435171222104 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.10397372952337 0.0371566478038245 0.0301766859589373 0.00345703190096964 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.28234930860918 0.12667563868978 0.251998100771553 0.0352977735069842 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.437928916445016 0.244606436830412 0.678862732139363 0.115369902550672 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0791299491487501 0.0293123460031454 0.0175472430833649 0.00216663272653166 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.149340131471682 0.0602151300674585 0.0650131624874465 0.00868240420324556 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.27786772732312 0.136691813416854 0.247234084229826 0.0403170757095827 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.730022113226916 0.556492799823127 2.20309562646302 0.508010485736447 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.21343639875814 1.03369093558909 6.661910803671 1.57658905614117 NURBSSource NURBSSource 20 204 4 NormalsMax RusinkiewiczEstimator 0.0283451849291187 0.0127969759850664 0.00219636812720118 0.000594994630437142 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.040950726846085 0.0174520489167692 0.00460948967770951 0.00093761106799661 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0646326739366421 0.0255962509731384 0.011519283462275 0.00185807270852797 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.117227523383542 0.0453248955616641 0.0389377062001017 0.00538999493214527 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.315581346386776 0.15228233590966 0.318484685510958 0.0480458355687704 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.489515455611093 0.289883821686468 0.860452497550299 0.157014873737409 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.100615067161558 0.0413255971408199 0.0303924814071464 0.00543417101915932 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.184349397534209 0.0859774664552538 0.107661096915099 0.022605891293544 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.339424549757552 0.191264201231059 0.406914233538727 0.105122678689288 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.901662619713714 0.708721326181687 3.60588782954166 1.13111588118607 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.45761477494251 1.26386106440863 10.0209468556174 3.15002304940822 NURBSSource NURBSSource 20 205 5 NormalsMax RusinkiewiczEstimator 0.0504964880268785 0.00882312441281733 0.00673958954539505 0.000235703999465602 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.060037075063942 0.0131304619293394 0.00985997122748863 0.000477300668794413 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0835478372376633 0.0211271450979696 0.0196145600643648 0.00119070527143481 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.143594077219541 0.0393918299332369 0.0592280303558356 0.00396843469720788 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.381621446446016 0.132357282652662 0.454449263734229 0.0410602853144519 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.583810101574202 0.266121443362581 1.17252346939531 0.158554732540694 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.130941085115137 0.0333133641954508 0.0470893418777085 0.00307523406113318 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.235741764075821 0.0679185705999533 0.158516040633096 0.0127822903222403 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.432526833526425 0.156608975263324 0.569157218914247 0.0714299825892564 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.07990563004295 0.69079673428305 4.62121810407825 1.13691067683047 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.69056215617963 1.31388792944865 12.7262794040352 3.49152302712806 NURBSSource NURBSSource 20 206 6 NormalsMax RusinkiewiczEstimator 0.0414598790233813 0.0240552651075559 0.00473662711178259 0.00180433027054107 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0526960195532789 0.0322223784033937 0.0073031672804413 0.00306688962194272 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.074280388636507 0.0465820559754736 0.0145423634982873 0.00621808280410332 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.127934658015326 0.0809034352069695 0.0438492856957106 0.0180172733619823 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.35804775447814 0.227581137234885 0.366985994990774 0.131056214727442 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.577852828132257 0.386546760751272 1.02681311581334 0.346439962919999 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0989633032779655 0.0667175014012115 0.0267107364016741 0.0124524754710949 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.182017196656498 0.128843883414589 0.0954463049788961 0.0441554140372121 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.352852016724421 0.257125422868513 0.381748476824483 0.162408754416345 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.992084157311175 0.837154362641066 3.68104148749434 1.42502769621407 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.63657913554986 1.47640902497655 11.0903368740452 3.98917551525395 NURBSSource NURBSSource 20 207 7 NormalsMax RusinkiewiczEstimator 0.00916048325088012 0.0649722476642168 0.000231219389654019 0.0111976534951259 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.012358064810118 0.0794074406016138 0.000418334240796576 0.0167733506911378 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0191424221395657 0.109794727052791 0.00105533815363343 0.0326982246126062 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0359418404272803 0.188449266593954 0.00412798593991007 0.0944400125222289 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.136854947143099 0.505938925298338 0.0874742262771682 0.612039528155768 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.293970560851286 0.781268446021169 0.45422102483517 1.34599410686728 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0347200594968459 0.149207380965073 0.00356203649621314 0.0595308248708711 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0700855464666653 0.264309650815882 0.0164744357771902 0.185186087692616 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.162664484430867 0.480450635322439 0.115597127036132 0.577391045221137 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.76796702477501 1.21394357628097 3.08498243060306 3.18870384339164 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.52038298951146 1.93576138246981 12.1458297874348 7.62323382639309 NURBSSource NURBSSource 20 208 8 NormalsMax RusinkiewiczEstimator 0.00833412462768802 0.10986429266312 0.000202995472049897 0.037394995564792 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0133893010428193 0.12265502068233 0.000518454436464657 0.0441824832127277 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0221771816983376 0.151720648923288 0.00142723566342902 0.0628856797120137 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.041632647300204 0.231341898234849 0.00519621116213693 0.135559417939845 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.138798656284255 0.585052009159702 0.0722214883423494 0.795600800642667 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.295069155890606 0.891105514268879 0.404431854042614 1.6651803449325 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0358377810352055 0.209961832461928 0.00392081561540414 0.124988218885527 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0719806332697997 0.358626526132739 0.0175380161606983 0.352837340172667 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.171770848339564 0.644120516334433 0.14122866120015 1.03391559126753 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.840378384857832 1.53402228187068 4.10959376764545 4.90636676458863 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.63980082726774 2.30444330669668 15.331264978066 10.4568531355167 NURBSSource NURBSSource 20 209 9 NormalsMax RusinkiewiczEstimator 0.0236051389004032 0.0208234329948263 0.00166966944100283 0.00126168601900452 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0320735329575477 0.0285500682803928 0.00295433709718759 0.00231102861394981 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0482629685166011 0.0424867873950809 0.00667101763457425 0.00498062347797924 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0864225231879859 0.0749356638162008 0.0218140832608004 0.0149510469526097 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.246789343964134 0.2187255955542 0.192544959697197 0.111601100527069 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.405133176075577 0.373472551839558 0.551954693489073 0.292221220638767 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0672170180884085 0.0551107497897998 0.0127801386937782 0.00759465966123533 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.130200288918841 0.104887936184044 0.0491724107712813 0.0262463802941428 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.258293039153161 0.211547756006157 0.204607632704748 0.0978453436679241 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.75305842035196 0.683505941327413 2.03379374056612 0.781929695766853 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.26311479983665 1.21423712452464 6.28149847478068 2.18539705326258 NURBSSource NURBSSource 21 210 0 NormalsMax RusinkiewiczEstimator 0.0846236597058405 0.0574804833459175 0.0259006097704616 0.0118645314967426 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.132744350553557 0.113240372563559 0.0792964020354344 0.0674696371872592 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.212500163316864 0.20376609874642 0.231011930519283 0.272304581446849 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.385354593146029 0.399853054948462 0.864861204244168 1.12715988876968 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.15553715875626 1.29713280966701 8.84042679763574 11.5145122830186 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.91502485688697 2.19154511000522 24.0556769385102 33.7341274544134 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.449762727442897 0.396195739696017 2.98076626446075 1.32873827741571 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.859049284978413 0.82396225046944 12.9026173257889 5.93461140352814 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.67415127448459 1.64735671891414 44.2889481216376 19.7544864257244 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.33233486132486 4.34967900676954 221.457179199439 81.46917402221 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 5.8282936242307 6.58517644437133 238.803958506263 244.082261301372 NURBSSource NURBSSource 21 211 1 NormalsMax RusinkiewiczEstimator 0.0777515720945539 0.0659424178545435 0.019631579131165 0.017651698647994 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.220021379159915 0.197271709480049 0.29898898047565 0.190281307728546 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.413191154957064 0.367583535071265 1.29621974242449 0.715864890664885 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.812100762333614 0.718929955076323 5.70948217485231 2.80832029082001 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.47478479078131 2.16558177277411 59.9205472796451 24.2174160759785 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 4.1647999469134 3.69255868147166 179.698646832216 77.2334962498909 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.627700284193963 0.609677486150583 2.99856307076059 3.61643335664081 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.20702015126424 1.20286545420703 11.8436455020576 12.7607044949116 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.37041754591965 2.39675307218043 47.3576170408293 43.9413865962672 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.64574688431766 6.6055054932512 353.940903818526 240.708949805869 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.04038190658839 8.449677658456 694.850332687742 262.194805543642 NURBSSource NURBSSource 21 212 2 NormalsMax RusinkiewiczEstimator 0.0406884808314165 0.130833610310727 0.00545188152743718 0.193057237184211 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0653067147202904 0.144351833076157 0.0257734088766722 0.101007581614494 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.11567117779302 0.209330123982589 0.138092624132745 0.253441015571873 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.255048865511013 0.338016610659815 1.66035040714999 0.642752960836557 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.926607377982161 0.860954407785118 35.8164869039682 3.98859402563881 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.46670072260245 1.38471412431961 47.7010408192892 9.75563955293153 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.202723107229767 0.495048768442805 0.421878710284128 11.7483554258251 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.424617216133959 0.888097736195381 2.19113194428585 36.7376323192338 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.901616516640327 1.55646024058388 8.97070638605465 80.0560400867494 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.66244341775049 3.24922346013901 55.1208396353928 53.8491535932026 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.9408768150701 4.45143363978253 102.227236637492 69.9533648482434 NURBSSource NURBSSource 21 213 3 NormalsMax RusinkiewiczEstimator 0.0439152994034096 0.0202311166685216 0.00486358493518656 0.00125556887315015 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.158731696963092 0.142067042706146 0.617431538418595 1.26423596614068 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.268591678104392 0.254653739096584 1.76856576383891 3.60818174160972 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.443634579323674 0.429336060883415 3.69561766798011 6.85001772448333 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.00682752069747 1.01849149439698 10.0366731352592 11.4416209482127 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.58405108822802 1.63985700519134 22.3467466735822 19.2096195255931 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.332576299062684 0.274994193301623 1.26443897382162 1.81885419001213 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.617848507770234 0.59434267829879 5.09619970110645 7.42296943509885 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.07357514226867 1.10018341869707 11.5608667982674 10.4063031173953 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.60637668786828 2.81568471356695 49.4469860483584 34.3887381227315 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.76608901213577 4.16897137060576 89.1678815811916 66.2709278001714 NURBSSource NURBSSource 21 214 4 NormalsMax RusinkiewiczEstimator 0.0513303258938545 0.0336309041688858 0.00777745212941927 0.00529333746365829 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.135280296118929 0.0962442800425059 0.109264334914666 0.202260214613231 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.240194517534198 0.182908802561331 0.459753881712491 0.877035155717382 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.460300181215113 0.391747932130677 2.23418380614199 3.89803932725121 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.26582489316004 1.18716696044894 18.3324434722503 23.5734782024394 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.96662106164691 1.79369486125256 43.3884374866746 29.1390282918458 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.312518059156182 0.210614944114715 0.847439042451946 0.507146625961321 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.624295494007383 0.487331981429487 4.77172359214458 3.57299505232014 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.15907892592205 0.965196485808068 13.235197078261 8.86433298736429 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.9985180642299 2.76660603704355 80.9648709254152 37.5049713385342 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.21795412152844 4.19885172660359 127.338446554241 83.3638805129606 NURBSSource NURBSSource 21 215 5 NormalsMax RusinkiewiczEstimator 0.0830084361535673 0.0228481801524148 0.0170759280277664 0.00165419523216347 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.169064694280302 0.181364117694957 0.205459134815865 7.83289910406853 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.282220122984638 0.360534273287215 0.734367093230387 30.3300479317192 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.491172182575674 0.63185940578686 2.26158983875822 70.9879628123565 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.20378095462595 1.17111795035284 10.609633944536 43.7614576890661 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.86034802266572 1.69314551255004 24.834570918366 27.2856529346505 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.60758412339203 0.264912582934107 24.3420249137921 0.991343687393938 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.00721650727964 0.53592659301429 54.6709252371842 3.0455509343224 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.53779621549543 1.04366294587968 65.9310320180392 7.50415667457465 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.17353575690175 2.93359756897305 74.8369498748147 31.7146488637867 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.54869136691347 4.56345016090102 129.002749810122 81.8941003713427 NURBSSource NURBSSource 21 216 6 NormalsMax RusinkiewiczEstimator 0.0843739122657208 0.0554429278498777 0.0207121932280727 0.0106130951904805 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.131611390794179 0.0956152429785377 0.0611392341602345 0.092839678053842 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.207183571926107 0.156199465570068 0.193685196127466 0.298397309228075 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.371139363993104 0.284793149505318 0.75413108990671 0.930688054674343 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.05282282132412 0.848693321971329 7.29385726937981 4.912079930868 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.78613868153535 1.4968625684912 24.2448938854624 11.4943220361497 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.371340957690019 0.275166950876827 0.904357707863333 0.546531541644844 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.68918123384569 0.557382460529274 3.46202701306584 2.26324967283552 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.3065797847272 1.12716275811179 12.7533716572217 7.68735487186209 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.41551358907565 3.19672053957565 83.938056568984 37.0859574214818 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 5.15167538402186 4.9538071613047 175.792662214594 67.9568781238472 NURBSSource NURBSSource 21 217 7 NormalsMax RusinkiewiczEstimator 0.0215211999462347 0.139061584656952 0.00152250188615716 0.0708929109168077 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0840825150600065 0.247083246244178 0.418387545971833 0.442580770859485 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.191289040416469 0.382631515528551 2.48896966936368 1.30522867583326 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.445428381430882 0.683851557206672 11.7642837984317 4.68861328286951 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.25042172972497 1.64367811977766 34.8986797697751 19.9312738162611 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.91226973640751 2.31910458830539 48.0263999173253 30.1843780741224 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.262141367452965 0.664397412422868 1.14885277932841 6.78387951311024 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.589705475777271 1.13428638364797 5.51074391001163 17.9610498983613 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.26515721559609 1.89895823746013 21.1412295442302 34.8616588983316 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.42880204695842 4.00233141368461 91.6394502273563 59.0656544888981 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 5.09497970616879 5.74000391471436 173.745698709277 105.663483253721 NURBSSource NURBSSource 21 218 8 NormalsMax RusinkiewiczEstimator 0.0253570907613585 0.157978418698157 0.00248739695452691 0.0923917615479961 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.074419604704744 0.283775190386857 0.10434183300369 0.713587976231305 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.148183728850977 0.448411168201896 0.434516604505416 2.30453513217352 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.325767573431852 0.780182128495838 1.98613434127068 7.90612935177269 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.23707780328248 1.97171745839069 30.4029647145783 47.6646527836933 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.97336571796211 2.79607478517661 38.914485111106 74.5562595450563 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.379844764107567 0.57643843905241 14.7459216008927 1.32493788586472 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.844859381420346 1.01282314631971 53.8068222939201 4.27235644083513 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.63098501561051 1.81741929678928 86.2867480830211 13.837006045032 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.05119910238421 4.34491065711616 115.144479247433 65.5031164662254 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.71789295369185 6.39419613942929 366.385953829533 123.125359636367 NURBSSource NURBSSource 21 219 9 NormalsMax RusinkiewiczEstimator 0.0538818322106761 0.0580295658715617 0.00904704376741829 0.0135819284841491 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.112018220910567 0.102100399301871 0.074681949059363 0.0517551780499163 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.189591363539613 0.174208051732729 0.266918289529722 0.195812510127485 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.359739791927586 0.335863657117315 1.07010503093921 0.930478539410014 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.08432286964285 1.03870186772013 10.2405509480908 14.3643386640068 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.74023783224999 1.63157288886062 23.9010029075565 20.0833727737587 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.356052423923789 0.416905174431341 1.91514005382533 4.27224907281203 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.646046526007545 0.793676059897724 5.63574935927564 15.4405027550154 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.17041808704216 1.43907896931621 15.2528772433894 40.3857972830039 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.88742009927796 3.239404818141 60.1769701603455 53.6698947217208 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.20755380037407 4.5651990261976 107.683752928961 71.5834909325054 NURBSSource NURBSSource 22 220 0 NormalsMax RusinkiewiczEstimator 0.00182694644051298 0.000473096555806784 1.16398778000096E-05 1.11636401699367E-06 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0366498574124593 0.0388195139456172 0.00350686664655192 0.00467089726993736 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0731819958297928 0.0776082261464913 0.0144173558677086 0.0183476551817986 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.146019917659045 0.155447912449515 0.0597391776143302 0.0714535034153737 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.434750329166661 0.46613025151301 0.598877722549529 0.574513225043045 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.727539283423492 0.773354509601459 1.84091022490964 1.42806864294914 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.116956295279208 0.125206524609964 0.0393216175161395 0.0484678313760773 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.233392882891932 0.250131538218827 0.165296278776672 0.185112307691228 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.464721817055278 0.494962000716358 0.719966761638767 0.660992859389451 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.44398226114587 1.47622688562997 8.54328256035938 4.52473192548624 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.52912694674776 2.54708355780646 28.0966051610218 11.8271637054781 NURBSSource NURBSSource 22 221 1 NormalsMax RusinkiewiczEstimator 0.000761768725232442 0.000341490643637542 1.32674096458588E-06 1.92331392620973E-07 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0428624512292788 0.0643238697529892 0.00547958970783728 0.0123578457125045 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0863376655696022 0.127978364485479 0.0234763345787186 0.0475851402970844 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.176626384684111 0.25162881263918 0.10880207949221 0.173164358600032 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.567148300126639 0.706935025552738 1.44311313856272 1.17756565533719 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.984453947548836 1.14189705379698 4.81464260577313 2.88989551917519 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.141366063554053 0.209337000132864 0.0673491074072133 0.121557981596364 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.294804484168472 0.404913297347782 0.339929885026858 0.41766219181468 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.621163635250015 0.768054448967618 1.7737327664978 1.37095445344036 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.06270161738997 2.2063462226107 22.9005112872701 10.0865265337481 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.67031299506263 3.78909690249467 74.2402715808322 28.1237149493201 NURBSSource NURBSSource 22 222 2 NormalsMax RusinkiewiczEstimator 0.000799420074579628 0.00159558659797635 1.40410771260071E-06 1.78460912127044E-05 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0325883324504757 0.0528643322069038 0.00453986439019826 0.00930401782553868 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.065132349684179 0.105653087116398 0.0186102483454516 0.0363319001704732 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.129162974764235 0.211986674197743 0.0767989670989542 0.141763348536645 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.385656254524686 0.638989825225436 0.806904535035514 1.17300238367317 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.677799564049503 1.04092431509199 2.67268314110303 2.91720445791445 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.103692540419099 0.165739000769774 0.0516184844670877 0.0885126995879217 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.203674086237177 0.334614770484894 0.217211745561896 0.348971985156661 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.409730668655936 0.671560729081287 0.990182539162522 1.3293312325088 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.44929858755739 1.91979485112012 13.3699835829594 9.93186232938849 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.70362686852273 3.1854492235774 46.1206695956269 27.6118280207383 NURBSSource NURBSSource 22 223 3 NormalsMax RusinkiewiczEstimator 0.00036281095744254 0.000251260396295579 2.88155239217535E-07 2.45448734301863E-07 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0189212545027405 0.0157027390908564 0.000984461261601711 0.000707823841610698 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0378053925390293 0.0314114027506669 0.00399082137179642 0.00278327308528467 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0755316676542419 0.0628221186711331 0.0163519131932678 0.0107803209454896 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.224626892552239 0.186787062635741 0.159425458102563 0.0830235229415281 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.368590665811747 0.314546772119495 0.46912215423624 0.207323216879389 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0633370284228706 0.0527587992502769 0.011426050506368 0.00762359878916277 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.126192529738096 0.105516698479671 0.0472914127976007 0.02888442431708 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.248288122755721 0.212092272359282 0.199337263480994 0.103903492192809 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.73486190905169 0.686128142655322 2.14327974140324 0.799686591277412 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.25810371021271 1.21651189630036 6.70317899380994 2.20813675496109 NURBSSource NURBSSource 22 224 4 NormalsMax RusinkiewiczEstimator 0.000443697836385263 0.000469885344990207 6.07054541125284E-07 7.60883048205652E-07 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0213642042773082 0.0169601385189993 0.00129205506195401 0.00079085524739488 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0426759307857983 0.0339299488331936 0.00522705507290777 0.00311918109337551 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.085151830190702 0.0679603689152623 0.0213786962010982 0.0120514821905755 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.251570442765355 0.206648546361165 0.206069059017199 0.0983738751274462 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.412881318246872 0.353029927491175 0.601277544768856 0.260366248460275 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0692978966640248 0.0584547387351399 0.0141653511009175 0.00897293373437465 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.138409730946493 0.117120579556525 0.0590888803697332 0.033915267071653 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.273197966463091 0.237516352691397 0.249620784456375 0.126144932802773 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.812780086228366 0.766847882861467 2.62719187648331 1.02229487124586 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.39825130472302 1.34512511994912 8.21165596147941 2.7907000586471 NURBSSource NURBSSource 22 225 5 NormalsMax RusinkiewiczEstimator 0.000592831701160421 0.000434104834559164 9.38084819047827E-07 5.68162122777732E-07 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0733508515352166 0.0216770024785967 0.0155264302068855 0.00179191595756451 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.145755822670921 0.0442309448900701 0.0622835735578011 0.00701532668942789 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.282703033145398 0.096900264557188 0.241589293646353 0.0292726217588052 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.735768109646864 0.403706153499484 1.95519432727779 0.420069985612433 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.13431407091694 0.770645408219782 5.28139338140673 1.39043035340192 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.231335643313202 0.0777788714552793 0.157663043236713 0.0195871568146884 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.436237492242593 0.182459367758896 0.599621178495174 0.0968337244394308 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.790778147840226 0.449063837120637 2.27366761220934 0.509430723751259 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.07612656119026 1.7081572725546 20.1544553622661 5.89814652500722 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.38311256345574 3.04770227685289 57.245529919057 17.1248251379066 NURBSSource NURBSSource 22 226 6 NormalsMax RusinkiewiczEstimator 0.000405647988106994 0.000577920843430273 1.65543402499518E-07 1.28551755361764E-06 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0596567237809192 0.0250994139349095 0.00982281732666169 0.00188310366288044 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.119186002668195 0.0502492414273573 0.0396671588042248 0.00732350599806388 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.237247409480756 0.101018844874161 0.160380062775766 0.028222460646819 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.676301461347674 0.329128171881923 1.41398523608197 0.264472801294113 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.05196439994603 0.606782627300556 3.78021051368023 0.815318970838913 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.207689361321411 0.0814914324734437 0.125742690784591 0.0184531972353717 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.408429836080229 0.168756248486308 0.502491248700506 0.0745226754548503 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.7704283360657 0.375861036874812 1.93305482773288 0.339106871377505 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.97750395518456 1.47904459665519 16.7086555203413 4.32825348474356 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.21457510672875 2.75679887822104 48.6053851674057 13.8205392427579 NURBSSource NURBSSource 22 227 7 NormalsMax RusinkiewiczEstimator 0.000211368297799361 0.00154827856551052 8.56298851835955E-08 1.60611291044267E-05 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0171653026893741 0.0406354581736139 0.000829847314924046 0.00488497045164395 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0343491064821646 0.0811339479623176 0.00336430591608052 0.0191649911644849 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0688662894298186 0.161769654281071 0.0138354922569535 0.0750646818587167 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.215398345360378 0.470995515004253 0.151718518158977 0.598693048461505 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.386990100336251 0.748344638960014 0.54834336102923 1.40575707551833 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0580351452403528 0.134292978574722 0.0100449878596852 0.0514786583067765 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.117368923236403 0.2666150496758 0.0428206922392024 0.198101315756411 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.245695675478904 0.516372557947901 0.207922065637089 0.702831653179479 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.930432936233525 1.35081309115848 3.75351296427608 3.96424434810012 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.771753874491 2.1691910055579 14.4864416253088 9.1577465715409 NURBSSource NURBSSource 22 228 8 NormalsMax RusinkiewiczEstimator 0.000158181340717831 0.00130833713875667 1.04326082124881E-07 1.0476888546126E-05 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0199002169407845 0.0552700881225609 0.00127954192866662 0.00949714087092095 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0398097545283934 0.110461671851367 0.00518473097124225 0.0374795047851755 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0797210242487146 0.220425418832714 0.0213492358464807 0.147276830078257 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.249087526700485 0.642990021914479 0.237748244021897 1.18568939956748 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.45424493040975 1.01939802253587 0.901885446171811 2.78861453415765 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0673817518311289 0.177226242094453 0.0153956013814921 0.0981833969715048 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.135286034627538 0.352730530225216 0.0647265343741932 0.381455621010202 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.280694787018905 0.687322467329003 0.309248903393225 1.38472286799431 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.10595287504076 1.80551228238539 5.97794741032902 8.05110493619163 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.163244857856 2.87511571106972 23.712961243333 18.7603515796312 NURBSSource NURBSSource 22 229 9 NormalsMax RusinkiewiczEstimator 0.000483137134446871 0.00114020539802368 1.44232411507462E-07 3.88048527774764E-06 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0474706438476282 0.0206908048760252 0.00621943140222175 0.00118189052266038 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0946991595981802 0.0414422764652432 0.0252101144445872 0.0045908597127842 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.188032776400179 0.0838473242378172 0.102200346840703 0.0176795999518208 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.535781072565867 0.274841755640733 0.905506458555301 0.164693525232469 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.850044800839911 0.498424775550982 2.45422220466119 0.489232110960798 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.150334772877935 0.0649994422828976 0.0637104637317604 0.0107019608181315 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.293977348217792 0.135884210280919 0.254197123465244 0.0431833409510529 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.562886738640053 0.294863058711078 0.999884956643734 0.182920147877039 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.49399753118242 1.09123969074865 8.51913487968216 1.97272284578634 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.39687982360307 2.01289764398278 24.123307632953 6.05319297374291 NURBSSource NURBSSource 23 230 0 NormalsMax RusinkiewiczEstimator 0.0011395836770009 0.000249255786813373 3.9062048748274E-06 3.13112105713479E-07 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0397505875660979 0.0303779457038618 0.00466253295586089 0.00247308477774962 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0794354522310254 0.0607592431206673 0.0189248980393286 0.00972570986472182 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.158493552503765 0.121532551909219 0.0770721239859449 0.0377511509565857 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.467722795441287 0.3670547603604 0.724442802741409 0.304289835384956 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.765099595730752 0.625923452073641 2.06162687043414 0.793526288271801 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.126609547751293 0.101010636806831 0.0510268505767214 0.0271422544669751 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.252139339753455 0.201905104728105 0.209440152580548 0.1033251292671 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.499914712994101 0.405882973523296 0.869530745203095 0.377360249609296 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.49034369417068 1.32106224449952 8.69347823862217 3.12824086454803 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.53026403472399 2.35516918772674 26.6431183162306 9.08422257705985 NURBSSource NURBSSource 23 231 1 NormalsMax RusinkiewiczEstimator 0.0005025497171048 0.000139988044663234 5.1965327393751E-07 3.00679622310964E-08 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0643289563777982 0.0530779501138968 0.0116742276802765 0.00868394521097228 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.128743183059496 0.106031475558998 0.0492379519610527 0.0335997266202014 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.257356770255265 0.212046946784395 0.215314576669861 0.128550060660083 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.756926800668226 0.648804977623293 2.31484691847517 1.09026155715742 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.24026942579069 1.10837977438928 6.94982086461028 2.97992294190861 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.214832345498364 0.170234745322218 0.143151768048657 0.0836959535392572 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.425675051538435 0.344555312031061 0.628899414661331 0.323322513452797 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.83055719357078 0.706525900453202 2.78763428431009 1.25745510638062 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.43755703353367 2.27918004908551 29.6235648507745 11.1722287236997 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.12002027083491 3.97158904477252 88.2092233173873 31.2379122129943 NURBSSource NURBSSource 23 232 2 NormalsMax RusinkiewiczEstimator 0.000544231224886485 0.00146740212041071 7.35318337896825E-07 1.72521949827024E-05 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0227755269491881 0.0457320295658271 0.00186871729128634 0.0071835286600241 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0454028887356969 0.0915971892113204 0.00759481001747885 0.0282842706475006 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0903929202272975 0.183168987734938 0.0313174064427395 0.110682299154607 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.274340612368203 0.542825013600826 0.330032444569053 0.894303291645409 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.486963652726416 0.882888584355503 1.14615722215269 2.16187238736013 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0842997171347461 0.149743043278831 0.0271954875933424 0.0771657587429902 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.169532465879385 0.298435165918697 0.117299104799342 0.295724705903846 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.347688772671302 0.590233620831183 0.552383848673111 1.07671665997602 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.24078345848777 1.66907807383758 8.41639332067822 7.24593474076325 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.30874696178817 2.75345744799667 30.3252672116259 18.9869241588277 NURBSSource NURBSSource 23 233 3 NormalsMax RusinkiewiczEstimator 0.000264724667698084 0.00029252165170199 1.43845798956114E-07 2.8523768003337E-07 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0333186373883397 0.0142720725334825 0.00296835141930514 0.000575798198419779 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0665166792757273 0.0287243134594846 0.012053479473997 0.00224439256707838 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.131464445991299 0.0590732130594809 0.0487246734553887 0.00884370137029783 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.363704927903006 0.209414182988564 0.4308438697431 0.0910356281481518 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.571640593805476 0.393462071097546 1.19376586056874 0.283858253623162 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.107827878793104 0.0468527549287927 0.0324867344510315 0.00558894802715521 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.209446965796974 0.100005211453321 0.129989892275258 0.0231917712791809 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.390974648786849 0.230128003146817 0.5100343294864 0.107243093059467 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.06327938286176 0.887887632104237 4.76366239668424 1.23785831533993 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.7733582029935 1.61993448160098 14.1290397975204 3.74132408024824 NURBSSource NURBSSource 23 234 4 NormalsMax RusinkiewiczEstimator 0.000306931167015939 0.000526546422946318 1.95120427487572E-07 6.38762120727981E-07 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0369833333620858 0.0184002478759352 0.00366002035155122 0.00104061324491344 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.073684199719175 0.0369891645675239 0.0147867217276422 0.00410730656589041 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.14516497940935 0.0757811434329922 0.0593354683472219 0.0161839872319387 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.402232541394311 0.257311889767013 0.526578094366384 0.152644218265537 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.637893009262638 0.470090609550979 1.48224170154065 0.450170186039541 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.117821565170502 0.059411188689727 0.0400922767413085 0.0101557728258793 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.227256612705034 0.126465155767104 0.157589830190197 0.0419966766264997 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.425554507175307 0.282900361898289 0.621797988207586 0.182498773367084 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.1831850822213 1.01827079672367 6.01435577105302 1.88556392548019 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.99354042385503 1.84659964904343 18.2478735790201 5.63189307034458 NURBSSource NURBSSource 23 235 5 NormalsMax RusinkiewiczEstimator 0.00052487810441304 0.000226809382561184 3.44016197567665E-07 1.42275274465402E-07 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0466487543615805 0.0160701346195068 0.00585218735705703 0.000775434085876395 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0931496720069834 0.0322107166059072 0.0236004516712508 0.00300963410721096 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.184460668796276 0.0657662580794891 0.0943803975810879 0.0118454183837994 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.510168397549121 0.233990332451887 0.791511391920016 0.125774083682478 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.785230280397682 0.448967997440099 2.0925467191546 0.414706627843738 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.153293094304348 0.052273659880547 0.0658818602380953 0.00749262076991317 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.298446879538037 0.110839088049077 0.256560054099107 0.0312888114613687 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.552431603945188 0.258774586455245 0.958463846631987 0.15379324202627 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.4075785445325 1.05176055131142 8.06308166096714 2.00063961116395 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.26855201976924 1.94700693487394 22.9032111067156 6.17953103168307 NURBSSource NURBSSource 23 236 6 NormalsMax RusinkiewiczEstimator 0.00050760825104392 0.000333759560680939 8.005932335076E-08 4.1673785168177E-07 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0404528874312705 0.0296584198395155 0.00433535588419541 0.00242099724028696 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.080870125028344 0.0592969370609262 0.0175855921461548 0.00951928470769135 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.161411051430366 0.118523699332998 0.0716977408219085 0.0369241159316678 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.474457130136558 0.359602002213205 0.674401114815612 0.303473174793766 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.765722875367435 0.610169256730242 1.91333438879567 0.786852075612223 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.129907538502779 0.0995514269679111 0.0461802043768782 0.0271544255960092 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.258694429928691 0.199282076751953 0.189775394890948 0.10407713119624 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.508538616241283 0.401883622474704 0.786693413020661 0.386595413203379 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.43139072182202 1.29162856056406 7.89311039518028 2.98417520179116 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.43050775684508 2.30193374878907 24.8100697174307 8.23582555755378 NURBSSource NURBSSource 23 237 7 NormalsMax RusinkiewiczEstimator 0.000188105172883891 0.000858329744604559 4.04026714972727E-08 6.06082790711331E-06 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0142904081827727 0.065600071923346 0.00057257999139741 0.0121723107636174 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0287299408437038 0.131036856398264 0.00239094578953714 0.0480871820592977 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0595090625167861 0.259858182088047 0.0112578820242621 0.184888464949041 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.241828968297075 0.712632052775075 0.277801609378584 1.24412629479591 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.505138882872032 1.08914339011131 1.32360399801392 2.6806794516562 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0475986436895367 0.206772073983893 0.00727596746431031 0.118605483371706 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.104763816059885 0.402663750006723 0.0439738993187805 0.43018156780847 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.266068360968231 0.74539028520963 0.354435108846988 1.34777272140554 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.24488483944836 1.85914993798515 8.36615123748945 7.15046444228262 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.41739345805057 2.98722022078707 31.43949200185 17.4876070274742 NURBSSource NURBSSource 23 238 8 NormalsMax RusinkiewiczEstimator 9.3207286047511E-05 0.000807613850033604 2.00729156575252E-08 4.28696785917243E-06 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0163564932796314 0.0897653655487254 0.000873414462637475 0.0238007298711101 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0328189579104524 0.17935682815094 0.00364165767195033 0.0943225017964758 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0667468669762457 0.356962696794684 0.0162932740119294 0.368942198794418 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.277066092299479 0.981014107548093 0.412234441061359 2.51141431368051 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.618082675783341 1.47514236068323 2.22294058365973 5.22082026707918 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0534858061685902 0.289710895712472 0.00993934037630695 0.242086812861059 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.114393498811073 0.569289540807335 0.0526748509453829 0.90807168335375 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.306933305035545 1.04847811801142 0.500440264054849 2.80963250526937 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.59096789940357 2.53134733057031 14.6553870881312 14.0140181034904 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.1020619886088 3.98456679780891 55.2137271560162 33.3803484361733 NURBSSource NURBSSource 23 239 9 NormalsMax RusinkiewiczEstimator 0.000335894501334177 0.000622626146735921 2.54029710202303E-08 1.03620686154575E-06 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0279277469409514 0.0235782239983564 0.00205316100571672 0.00146154089645315 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0558200754985519 0.0471602608366791 0.00835614392424959 0.00575242584735023 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.111160043574692 0.09431326114296 0.0342181669412598 0.0221545721188044 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.328467475750322 0.2893745391794 0.328075180203287 0.181740321831159 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.540993336145593 0.494108968240156 0.951120048505148 0.477789124711444 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0916172249922141 0.078047227519643 0.0231893099741035 0.0155507344674015 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.183029496653098 0.156283586533962 0.0966280155883888 0.0588685508247152 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.363046654566355 0.317957772238447 0.404952448050456 0.219991584245481 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.07741592292121 1.00625116872637 4.15578044934066 1.67319016499506 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.84145334900706 1.76060199542857 12.948284145444 4.41752387427041 NURBSSource NURBSSource 24 240 0 NormalsMax RusinkiewiczEstimator 0.0334210079621296 0.0218818280497482 0.00453513251738668 0.00180493669292144 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0650555313007083 0.0512157561637374 0.0141104177903616 0.00721691378845337 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.113431233234545 0.0918882037021656 0.0418079482094321 0.0223946963930421 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.215014808749085 0.17709695586508 0.153859615122079 0.07905141290508 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.61972529272978 0.541054996919138 1.42675718807319 0.615387024420201 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.02437092446869 0.936889242089514 4.20549827787317 1.63679291720916 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.18460625429805 0.149302351549275 0.114566368310203 0.0594877309338429 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.358745985357135 0.295296323439459 0.452433273075439 0.217050152770879 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.697499065560622 0.600535731783682 1.85842799322776 0.789484127309189 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.10692977889796 2.03266025699031 19.6009098134822 6.92546252325465 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.62578906861355 3.60607055325621 60.2430755324084 19.9779193880732 NURBSSource NURBSSource 24 241 1 NormalsMax RusinkiewiczEstimator 0.043809065454893 0.0299244357317669 0.00539241579237277 0.00309145913681537 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.109987361991661 0.08701808044095 0.0365758104113931 0.0228996321945077 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.204220244059781 0.165348711884457 0.137315751985655 0.0786542570151952 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.395443629001965 0.328845605380651 0.580118105494751 0.296075458712248 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.12969957925491 1.03091755860785 6.04986531509669 2.59294718050693 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.86520566091353 1.78381250470409 18.0079032175838 7.2122903206859 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.334574770564313 0.276044294123509 0.42132090475594 0.242581473199739 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.653159778449308 0.555819856094362 1.86090736385789 0.922819072431955 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.28119857890137 1.14715977180355 8.24370351292123 3.57717249638175 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.8488200994807 3.71292174377714 82.8748964567278 30.7832372758257 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.48001891882998 6.44453279297165 236.293786918151 86.6522700006196 NURBSSource NURBSSource 24 242 2 NormalsMax RusinkiewiczEstimator 0.0162029512804323 0.0666036785660472 0.000868612458842154 0.0172306100908003 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0387712498800346 0.0949056587109803 0.00586249546487548 0.0308060009695924 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.070744573646759 0.146208762493421 0.020907950125947 0.0705431114131417 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.137163530190673 0.262933581582422 0.0830061665070416 0.224309001071527 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.431771115436453 0.738652690366977 0.961428192198991 1.59172877467579 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.790346015102938 1.18363667746997 3.45507641381025 3.79298577568826 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.110725453237364 0.221342910106036 0.0534191721191118 0.162082730152274 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.222809295062465 0.418790478041068 0.236904375159119 0.558555088640345 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.477314536697734 0.802182797141994 1.22449648015575 1.85625635246661 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.80029621154915 2.25339228282095 18.726278898157 12.7261797515381 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.3207049595622 3.76414523103587 63.2162794504656 34.4150742109474 NURBSSource NURBSSource 24 243 3 NormalsMax RusinkiewiczEstimator 0.0209925146648144 0.00788346014487138 0.00127449390078728 0.000191175337753697 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0514002304333451 0.0226488396248655 0.00739960987928238 0.0014459604938009 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0946979805121422 0.0438217906615795 0.0259243061697108 0.00516183011421165 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.180267352215543 0.0912057713156853 0.0995990973300213 0.0202894405157024 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.485267230662171 0.335455056900798 0.887877816252487 0.217191529282456 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.778603800575593 0.622755056566165 2.54312189172796 0.664575605100454 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.150375018653132 0.0730837800941184 0.0686964152963387 0.0136409016590465 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.282423351707461 0.161663027317791 0.26832805769128 0.0593257177076111 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.524791105571999 0.376049891021458 1.0813153947531 0.27343561981775 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.51674612348133 1.38539288639313 10.7868174885193 2.98463865937013 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.57381994438138 2.45972108882506 32.2056411088182 9.06050477026629 NURBSSource NURBSSource 24 244 4 NormalsMax RusinkiewiczEstimator 0.0253053069008823 0.0133112586073077 0.00184203627090908 0.000766944992178984 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0614613036156513 0.030877958829803 0.0106189924763122 0.00307035580418797 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.111540350893293 0.0566917507132511 0.0363907215401801 0.00962248689673194 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.21040603955751 0.115544181545749 0.137871618027163 0.0362982898801277 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.562598670658498 0.408446993652019 1.21966929533456 0.358521642857515 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.904250394055491 0.739797890992939 3.50435439317677 1.04659883689247 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.175513255155912 0.0935851282730837 0.0955413848598708 0.0246999069376155 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.328140389957321 0.200952151854957 0.371810872045784 0.101678445853789 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.614226623329629 0.452034322057312 1.5114298598211 0.444359200377551 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.77634908292422 1.60677906561844 15.0688997334937 4.53060163177514 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.01487090613918 2.85018208417623 45.0031670522094 13.4131741666286 NURBSSource NURBSSource 24 245 5 NormalsMax RusinkiewiczEstimator 0.0479144533374302 0.0100421380514025 0.00678870885152321 0.000364200414507657 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.083805422209579 0.0264527496277006 0.0202997617123928 0.00216689023178825 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.142469408180199 0.0498276641696338 0.0590934128081494 0.00727238577684906 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.264925653305261 0.101942730782348 0.210007225922882 0.027678604575146 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.690076771095493 0.385926140310731 1.67850469375383 0.314385960027114 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.065380278692 0.740759906809801 4.55130399314181 1.01502212900005 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.219972926773007 0.080453905761721 0.143285326517067 0.0172659350868914 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.409713223911587 0.178846015099204 0.525993016483296 0.0761409479133907 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.738908845780838 0.431513641791431 1.96369253487088 0.386914234117267 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.97849976572744 1.68949796092894 17.7665182465683 4.69360036272044 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.29766882104107 3.04205392208804 51.7824976260467 14.2950313438117 NURBSSource NURBSSource 24 246 6 NormalsMax RusinkiewiczEstimator 0.0375035044223477 0.0226895594997194 0.00405960090514181 0.00163989300791922 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0694788133513154 0.0480529213179489 0.0132894731035415 0.00672367050269761 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.120968038975135 0.0872817047303618 0.0409526252063781 0.021490959853429 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.230044016728166 0.170662845430584 0.154047424872539 0.0782602516471495 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.651964310309373 0.515635943319628 1.42102559768456 0.604488486667661 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.05269530705575 0.888049331355607 4.13409530243598 1.56586134446639 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.19256521184229 0.141890539425034 0.108427569121889 0.055625609297964 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.373745610527639 0.281619629383557 0.436166347079664 0.204024226189828 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.716920638287606 0.569679475925629 1.80688701469852 0.730922955572344 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.08567902331577 1.9254163035494 18.9350596173974 6.22067412048193 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.55714032949016 3.41643443590425 57.5865541453393 17.7012876884201 NURBSSource NURBSSource 24 247 7 NormalsMax RusinkiewiczEstimator 0.00885477774507022 0.0703149524715668 0.000276155043848896 0.0148592413378271 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0232120938874272 0.120276718332239 0.00173510373596165 0.0405558467623006 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0451643347861092 0.201661078749722 0.00715721820047503 0.114563427895241 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0991049948375341 0.371706481217719 0.0434152768614184 0.376267547297338 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.448598238994289 0.94673809911951 1.15726570712184 2.12135165715594 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.909304019865992 1.44314123454454 4.76419362449469 4.65397447396133 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.080732159705462 0.29880159495397 0.0266077233724451 0.248688429046621 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.191724708919174 0.549596737076506 0.19032850068385 0.785041745911989 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.499350690984806 0.986766605892451 1.40750293629785 2.31624620719067 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.10448159553754 2.5924812634892 24.8906109627172 14.6055156183224 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.83876884307497 4.25848044734711 82.0040925753718 37.791021265009 NURBSSource NURBSSource 24 248 8 NormalsMax RusinkiewiczEstimator 0.00993890411848448 0.132162483762632 0.000324580303973188 0.0675257087020509 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0253965982625103 0.185264901040054 0.00207085971171622 0.11256897713702 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0483205975627211 0.287103529143347 0.00785801383312908 0.2509105116942 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.102594699976837 0.512559556065859 0.0420088543366762 0.762061684441125 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.503035246146347 1.28878138164806 1.4646704234978 4.11847636964504 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.07694969409818 1.92405978510784 6.85272660763276 8.51302669026704 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0817639707476204 0.433849199137009 0.0251500336024544 0.559796520331558 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.195707511470685 0.790222557117974 0.182498532322441 1.73222087564564 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.564720817810453 1.38321472296466 1.79758803712684 4.75766040173155 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.58338361209795 3.41268992163528 37.7877083488875 25.6500494793357 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.73552870586718 5.39840855490216 125.663502036567 61.1797703329088 NURBSSource NURBSSource 24 249 9 NormalsMax RusinkiewiczEstimator 0.0223052039630572 0.019298209619449 0.00174652510408972 0.00127023458385213 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0481091489032293 0.0408142878050248 0.00678134027657845 0.00435658381107748 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0857625499533332 0.0727741737922662 0.0217012513949579 0.0133143367362099 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.165676297044629 0.140989149531764 0.0838193327089981 0.0472702603741335 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.486445447789091 0.434878169264853 0.809464471482713 0.369626388041126 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.807336500617114 0.746465373229006 2.39502906223278 0.953100703035085 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.132997614429603 0.110829742164255 0.0535441824972596 0.0301231956017003 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.259385723079651 0.223716990840115 0.215932954581208 0.112083066114554 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.511071841409113 0.463092021074162 0.911560781965404 0.421371619294283 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.56197756416548 1.52219643808873 9.83654717447813 3.46724032134302 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.69443407013261 2.66849774487157 30.5688872392965 9.59805226447041 NURBSSource NURBSSource 25 250 0 NormalsMax RusinkiewiczEstimator 0.0775254132233243 0.0558799319059686 0.0242272004064399 0.0120216685651818 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.250921598262784 0.208095798565118 0.732829582514661 0.574163738813381 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.458942194018691 0.394641161535144 2.36090300638687 1.7402735705346 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.863848878855418 0.769901439139708 6.93771856169252 4.65466056040572 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.47380724652925 2.36262579660926 52.2345908820454 33.889125504981 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 4.11151154781301 3.98330347918648 140.298896478168 85.7481991226867 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.696760670159341 0.597350842548764 4.42272622429001 3.69528088548389 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.34536998378187 1.19335407299397 15.4361764101351 12.0448133566859 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.65476132734774 2.43365303013578 57.5516533084532 39.2261748137253 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 7.37554818222689 7.07303735723844 364.182635259135 169.994313608561 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 11.3332203506329 10.8994939082717 815.507116251802 361.295891507427 NURBSSource NURBSSource 25 251 1 NormalsMax RusinkiewiczEstimator 0.0746239135585757 0.0825345834599439 0.0176902003852314 0.0317738254131262 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.462727056927712 0.445999095507613 4.27557813475986 3.56602951086019 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.904051890641882 0.861486087783192 16.4718199143617 14.3259918037196 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.76719363276679 1.69528470098976 57.8087814623708 56.0767248837666 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 4.86939764509601 4.7255159666748 333.737728978636 285.565223903195 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.43267167659669 7.27216438006469 618.127425770643 389.468237764061 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.19163570235488 1.21916223203022 20.327111744708 24.0448275876469 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.40783051293977 2.52724678916876 78.4472109682519 197.81596699291 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 4.49861986950263 4.51121689455857 212.081914311267 161.835257840835 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 11.2877569253281 11.1146826691219 990.551874407415 484.888046947651 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 15.9394516284801 15.8944480808541 1716.94511840144 783.50800827379 NURBSSource NURBSSource 25 252 2 NormalsMax RusinkiewiczEstimator 0.0358386225901629 0.114900315481584 0.00460878306369741 0.0565812496180553 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.177380311297324 0.326625071262553 0.886158151837702 2.83684485442678 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.355967050297337 0.587117844452817 3.50014654186559 11.1524370012332 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.722946733462615 1.07296673618195 13.6127278160721 30.2868924530152 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.10952367092788 2.63664272082012 58.8395622761896 79.8564895387064 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.47830819769812 4.01035566449558 131.802887228947 157.856001662144 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.490736297700306 0.711031389245788 4.6618311891374 5.63234104160475 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.05760147634699 1.37562860563477 18.4008384744487 27.2745652484394 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.16078191493712 2.44417324471328 62.545051139248 49.9499620787485 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.29102737772935 6.3972631244543 327.047564573146 239.406775643066 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.55760507234953 9.30957698985546 635.856982376056 320.331117513661 NURBSSource NURBSSource 25 253 3 NormalsMax RusinkiewiczEstimator 0.0394136893538029 0.0194671738507974 0.0045198678030794 0.00133965393919271 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.238347877632942 0.135344987255256 9.14674191395264 0.278538821655672 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.421637100289662 0.28178298537026 18.9843941967922 1.09881688217327 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.759525011314938 0.59286911131095 30.8850733607685 4.12868684718863 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.04591951793699 1.83921100140384 79.6954865501858 26.7051501796001 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.18938120994768 2.97860181649071 152.437825682005 57.4377988230532 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.587346351973485 0.456336773139502 10.0894670464462 2.51260091294613 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.08722451165314 0.946082338027778 20.4001414517518 8.89591196318954 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.06660096769483 1.89801924023979 68.2735252854377 27.7683666153576 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.35377616124251 5.13668758978213 294.62412511603 125.560381519749 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.58824967265507 7.68685453856792 377.971883943688 192.03112129827 NURBSSource NURBSSource 25 254 4 NormalsMax RusinkiewiczEstimator 0.048649292799423 0.0284269097009854 0.00744196317317425 0.00374794169775425 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.191819361460992 0.135050891938054 0.220181044664667 0.169080244701968 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.354012249940618 0.277170661313174 0.877413425011311 0.685684401667026 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.685222594051328 0.582550123737218 4.44803259449415 2.82257635676931 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.96290050770184 1.89315379662892 33.4797391302425 29.2477619438313 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.1925026726965 3.0945382026364 87.0298602400096 56.9800224187733 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.607233768553528 0.50850126713714 4.09583260935501 8.00080308654922 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.20171520885128 1.10536868709193 18.9764851677901 65.376301235255 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.35702596475788 2.06453384697734 76.8494434706293 28.8438001175264 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.05686947555115 5.77495705119523 293.440881015111 139.541520159349 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 8.63224062775164 8.4379348730394 500.548009800823 238.627265143486 NURBSSource NURBSSource 25 255 5 NormalsMax RusinkiewiczEstimator 0.0781923081819661 0.0263757564299347 0.0184877780884085 0.00286544332435526 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.251869706833325 0.112601728480169 0.899779024697805 0.158664984927722 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.456360390991607 0.240681838828351 3.58591845880393 0.725852510529291 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.849673400352989 0.537535533073478 14.4414717780477 3.18694614628158 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.38993300515987 1.87218661165401 107.898846490694 27.0073135520265 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.71810812683311 3.23440059737614 147.168699109917 70.0518972265256 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.788164762749645 0.594512885400892 10.4768954387516 12.0893870887043 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.45687946378024 1.23191986178755 27.1660700026734 33.3574520370318 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.74061221466727 2.54430711718634 83.9497388502589 111.670641339638 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.55306713540607 6.77906543716911 339.359595110918 425.849482089915 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.54307857773056 9.4177103693076 609.221208181744 336.334825633843 NURBSSource NURBSSource 25 256 6 NormalsMax RusinkiewiczEstimator 0.0724649054685313 0.0519477260535286 0.0159991095068051 0.0100146983687339 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.238151041357831 0.212658752973572 0.485960227707232 1.16717523616479 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.441230816626346 0.414070831954714 1.87640886674851 4.68561942870832 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.848633519825553 0.835003575768906 7.20384893267049 15.9517886321656 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.43813518313402 2.48938197701885 57.6617128497948 63.4509633817058 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.9613270166521 4.02542043888507 136.131007399433 105.854246488583 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.741046530845929 0.703049742070466 5.87660716187946 7.62293832103964 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.47018499161825 1.44212598379341 23.6620565828145 30.823645506898 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.89047680346452 2.89060863133726 82.1598301746053 104.93376124416 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 7.85134112598994 7.9687131371225 523.956886113531 341.295042994031 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 11.4062074684477 11.883890881905 923.810258369085 523.214223068156 NURBSSource NURBSSource 25 257 7 NormalsMax RusinkiewiczEstimator 0.0240382038986366 0.132885205011416 0.00251860557215492 0.0617353301769833 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.206770735873681 0.400904435083516 2.7337455037698 1.0562300257162 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.449093514337578 0.6973396278694 10.6765322560187 3.76486783425664 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.983881375621367 1.27958678776064 41.1033209561858 15.0524282371723 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.90985270323861 3.30194687882063 143.433930735346 97.861811220536 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 4.58217499483901 4.9520428775975 246.465373486964 151.412117783641 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.696037023206395 1.09634428239631 20.372593181385 13.9892791925335 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.44684067106711 1.96769940789289 51.0224737384297 42.9806747656858 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.9432810811264 3.56259036189771 133.197671311041 117.114088411803 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 7.84829032556466 8.343894522449 559.71012874546 338.538725950432 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 11.2224931031523 11.4926331653743 936.62867436234 436.409902210964 NURBSSource NURBSSource 25 258 8 NormalsMax RusinkiewiczEstimator 0.0295927020004633 0.218427029877738 0.00531121222868953 0.221834197114869 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.218455500457816 0.57155238342749 1.51369501216307 2.13337032116023 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.493874818415559 0.977736371828935 6.7938723157063 7.87181023116059 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.13090276179199 1.76278365002074 29.2745374603361 32.3549112978932 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 3.71262352492584 4.49343881077334 200.221917627646 175.567460079803 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 6.00838107712495 6.60749889879129 417.588042440948 273.89233909887 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.763502498238731 1.39029431923619 9.40294717217658 23.8238989791839 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.80690845565477 2.59422369014492 51.3152317409357 82.1352635271596 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 3.64992590576792 4.50191521615827 151.703729326173 164.155438606849 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 9.91136200637198 10.3543852184915 811.036902181659 435.56117207294 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 13.7156086139118 14.1782267435877 1343.79989418185 592.01565475596 NURBSSource NURBSSource 25 259 9 NormalsMax RusinkiewiczEstimator 0.0508744321320583 0.0478161951963414 0.00891045852904382 0.00956650462757743 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.216333324592659 0.190808626299849 1.22773200919405 0.665791575651418 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.375068816093085 0.344257857882664 2.1287677498962 1.52225054452008 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.704062943173845 0.661164360881546 6.3804476881869 4.98911243039363 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.02954853504325 1.95227497641177 46.4377092591537 36.4446376301799 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.33329192106811 3.12935297597574 146.985825229944 67.6259522346851 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.535875814163738 0.517324209940226 3.05021783944779 2.81625254228664 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.03433076664617 1.0220896220564 10.0661536683213 8.65395597508805 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.99554335819249 1.99005622024422 33.487530914596 24.7143405368049 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.46078189801577 5.46079119561453 196.61570539028 109.511692267135 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 8.48508850609237 8.36235950106309 506.380040562365 222.803677173394 NURBSSource NURBSSource 26 260 0 NormalsMax RusinkiewiczEstimator 0.000321314079887248 7.95386004592036E-05 3.77332106644153E-07 3.27277890359154E-08 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0904319796685184 0.0997565646173719 0.0231105882743848 0.0301333612218296 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.180786864213145 0.199154528034532 0.0963334081574968 0.115765178546392 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.361737705890286 0.395459236914307 0.415719860176179 0.425362526906896 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.10643944522414 1.16523549417218 4.71634560486091 2.9775139531379 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.89519880318621 1.96752059749616 14.9847836408597 7.51050137737325 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.292155143059567 0.316752452570889 0.269132491607112 0.291880360489729 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.586813589118373 0.623774485212397 1.20676876483363 1.01630102189754 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.19442743276345 1.24187304616779 5.6871369823703 3.45319130425455 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.85669132937168 3.9190260589669 67.32568803753 27.0202382941055 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.74036295961708 6.80341530440961 210.930698764479 75.1716801918986 NURBSSource NURBSSource 26 261 1 NormalsMax RusinkiewiczEstimator 0.000141535024039386 8.79152126539737E-05 6.61048870204138E-08 2.21555785686866E-08 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.10271940931633 0.19105377438759 0.0352873954906502 0.113182072886803 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.216295277342172 0.370447847085538 0.180810756745032 0.396144596830177 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.472511154789208 0.696326719802067 1.02692631701652 1.26501345552264 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.63201119568514 1.90027839016077 14.5633131923633 8.34760710530035 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.87204150303445 3.12642648934367 46.4603960755782 21.686315220789 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.373609387631672 0.582058809306471 0.626468790383428 0.932880794785014 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.822859663643954 1.08257339544398 3.50974482837513 2.97143932084398 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.79081093711556 2.06231676799978 18.015397464648 10.1578961066143 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.01850187279957 6.24562053389616 210.633324355208 85.5992259799569 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.6927526153959 10.8775804588339 667.433596196904 251.351723539277 NURBSSource NURBSSource 26 262 2 NormalsMax RusinkiewiczEstimator 0.00013758992837826 0.000513924153879525 5.03254829444652E-08 2.10977160255457E-06 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0822710704479195 0.168762224990071 0.0311474958146325 0.0998236935462183 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.165400162728886 0.336435394981132 0.13631145852596 0.385169064329726 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.339629904064738 0.663598756600726 0.65122643321515 1.41743468904413 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.22641785200268 1.8310394996943 9.7746838783974 9.59244662101427 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.27289335962523 2.92534826765519 33.7337571487101 24.0339963311892 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.271555066186571 0.540676484513817 0.407144571001401 0.970559759877899 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.586824306016695 1.04382988834822 2.15605887623397 3.33271881466058 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.35658430009648 1.96534783748226 12.1244226861372 11.1077864412195 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.01282862160474 5.61799680886272 163.454024124502 90.4672546795723 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.10927970769949 9.59692097915941 539.273082494063 270.188593715866 NURBSSource NURBSSource 26 263 3 NormalsMax RusinkiewiczEstimator 6.10574790535055E-05 4.54340092856622E-05 1.11526827876628E-08 7.66891289945967E-09 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0500465399477003 0.0444983740836617 0.00735647030289688 0.00593397236496201 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0998550734648866 0.0888203667742172 0.0302334888204789 0.0227404836719647 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.198539831715853 0.176510830958056 0.12739571660428 0.0821723436563632 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.58770272330513 0.541249008943365 1.34971686971974 0.589567759210974 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.991212772567298 0.94167738376289 4.14730604628253 1.56737468469671 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.1620594695351 0.146187337158591 0.0829379603983133 0.0584881902005714 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.321783802565724 0.290532599756557 0.36072751343455 0.200036543454632 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.641897657569934 0.598573224740581 1.62941630632319 0.700294727288576 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.01744680270148 1.97453430177026 18.0679791421452 6.04922698602766 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.47585437812322 3.4368219454144 54.9108341279471 17.2912596866667 NURBSSource NURBSSource 26 264 4 NormalsMax RusinkiewiczEstimator 9.04078240534662E-05 0.000129305288557849 3.38628729511769E-08 1.57757959867087E-07 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.054888326724331 0.0497943770080059 0.00880418552675837 0.00716483332126973 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.109685438857148 0.0994705000646244 0.0364619943612517 0.0273818794209229 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.21778693063234 0.199559905389135 0.153639831938511 0.102061070788695 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.643811720990195 0.624456436986982 1.59286017895718 0.798116160641419 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.08670697472717 1.07425193367992 4.86917184548104 2.09723419452441 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.175500199350015 0.16144428841278 0.0982547067128868 0.0685310345172074 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.347749969785047 0.326763904868515 0.423715124687791 0.250159718673772 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.694988125168383 0.676514014393188 1.89027548062427 0.9155668724555 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.1969176734513 2.18835011325291 21.1191950225578 7.65117393459437 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.8101745770377 3.80123296941513 65.223704752699 21.7118725917682 NURBSSource NURBSSource 26 265 5 NormalsMax RusinkiewiczEstimator 0.000126793829541211 8.280948341208E-05 4.06016181956873E-08 1.90443129300044E-08 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.17251991817293 0.0662713763977951 0.0898711437323814 0.014698567518091 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.332053722034565 0.145345074095077 0.347633952199339 0.0629871260032809 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.613016568183412 0.341971306785925 1.31913028621465 0.305279755729724 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.6064635075529 1.2783742478882 11.6223956879324 3.50645864718295 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.5878398439445 2.27595641174831 32.7989483957448 10.2815182453994 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.518823660153268 0.268173899944496 0.926108799559204 0.204136802769319 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.946537639655317 0.630612763845849 3.58399058491762 0.990068838185888 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.75449167662118 1.42397032424898 14.3576261924115 4.46985399241479 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.06905955881263 4.79488876760273 135.311148374787 43.640877473338 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 8.51771973353278 8.27061838709543 386.570561081856 122.726997851921 NURBSSource NURBSSource 26 266 6 NormalsMax RusinkiewiczEstimator 6.76452623996541E-05 0.000103118417415619 6.19708870904897E-09 3.79116720273362E-08 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.153976405538329 0.0707385885178457 0.0694517966070587 0.0144629037276264 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.304983591858146 0.143709384886407 0.27978531153611 0.0565270026879963 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.589295133214197 0.303844833992459 1.10669678363239 0.232039354108053 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.54082200127481 1.11257147425352 9.55472461253846 2.59066433467056 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.44854103314472 2.03521140606444 27.0155362974007 7.98531973694954 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.481208013141062 0.244663283807261 0.727063060109847 0.158674450901259 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.899148342314472 0.539213872961565 2.82117787666227 0.693971527266183 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.64169995995069 1.23507405839975 11.1522473552805 3.2050869251572 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.7141411971814 4.389017793825 108.980450863251 34.474891822722 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 8.03081792010338 7.75719210215346 324.396791555643 102.39032923354 NURBSSource NURBSSource 26 267 7 NormalsMax RusinkiewiczEstimator 3.36328033072432E-05 0.000250263658041616 2.31909200484781E-09 4.00045576496584E-07 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0445483529382569 0.111599466594886 0.00574161329328267 0.0362735716141663 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0895964711700944 0.222219007668474 0.0239486873671004 0.141957792265317 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.184631824704451 0.43530656636191 0.110127603661151 0.52504598983181 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.680041530221739 1.14762586303744 1.9374948601241 3.08379868513829 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.29557295508606 1.78544110951361 7.59618895984686 6.7672506036636 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.147068364295385 0.353997793012545 0.0687392556460571 0.355758013259181 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.318103970428355 0.674096700093148 0.372622593479327 1.19916326218814 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.75093868213845 1.22061053293045 2.44149924711473 3.45939792010284 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.91303804272437 3.32855193187648 40.4834428940428 20.9783394106082 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 5.27476479974816 5.61958532288261 134.869849837134 55.2442682697479 NURBSSource NURBSSource 26 268 8 NormalsMax RusinkiewiczEstimator 4.09848777939116E-05 0.000276319842196041 9.55464735697485E-09 4.77081167141793E-07 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0584714598843219 0.153252020471519 0.0124213659580627 0.0766504390189343 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.117156764101352 0.305810277509166 0.0509484924918857 0.30127179427046 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.238963296079981 0.602934605456558 0.224068133683409 1.13183981182321 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.897995558089379 1.60909446866749 3.91292826921295 6.78608305466386 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.73323387258623 2.50236064872816 15.5555576515769 14.9799342480591 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.191804044951192 0.49096374751095 0.142518341732587 0.754407639587631 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.415128938266932 0.936744179334761 0.754601089018753 2.54314455213188 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.998112272813112 1.70690757653205 4.97839609100451 7.45745119463956 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.89664895491721 4.61266747906422 81.3883138262173 46.5755553639124 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.05859007142952 7.68094936437985 268.89395930855 122.39450467536 NURBSSource NURBSSource 26 269 9 NormalsMax RusinkiewiczEstimator 7.67119771285044E-05 0.000194408510900383 5.76329697188062E-09 1.25577365265866E-07 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.114567268065617 0.0557135040954788 0.0374677586686371 0.00818947651079673 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.226480136345302 0.113156435713801 0.151005247648879 0.0315683085213504 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.440110269666739 0.236698933806038 0.602010192049222 0.125695938388761 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.19404548362582 0.828829721812423 5.18739267378783 1.23001241786756 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.89058767834563 1.50608016414975 14.2663522522475 3.63347065742883 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.360575486481378 0.188094538364661 0.398997073702636 0.0824677170507739 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.687751230924141 0.404440125510189 1.5700083829831 0.339194685678476 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.27610760139981 0.90173592306462 6.0686268160866 1.44362326387736 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.55865540086367 3.20936639175695 55.5767254623147 14.8595182467394 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 5.9776990054066 5.67114957007756 161.919210768689 43.5561724288723 NURBSSource NURBSSource 27 270 0 NormalsMax RusinkiewiczEstimator 0.000199998227958925 4.52171467284144E-05 1.25030111448102E-07 1.08672273110075E-08 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.100180171623587 0.0760163927450348 0.0316505284899126 0.0153804609628392 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.199817068590402 0.152074055488914 0.128886106355919 0.0595074843442803 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.395989473965073 0.305325131203222 0.529070482488051 0.22383844219354 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.14625722886126 0.968929923341058 5.03873011407885 1.804446960065 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.90241174054284 1.70819551887373 14.8393184626972 5.0634054161779 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.319670381400483 0.247536126463311 0.343100305670605 0.153716905923134 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.627982314387268 0.502884871043563 1.41585076231959 0.56796979846629 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.22986457216226 1.06076430397509 5.95809123628916 2.18056204389669 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.78195158741808 3.60764839578829 63.1967315380347 20.9384493095115 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.52750083757875 6.36364602928013 193.653321085823 61.9379214828441 NURBSSource NURBSSource 27 271 1 NormalsMax RusinkiewiczEstimator 9.27625581563227E-05 3.42589925059848E-05 2.78637664390409E-08 2.68458160714538E-09 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.155168085518343 0.159892347208894 0.0748224844590997 0.0810607930708956 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.314558054560964 0.315361787002852 0.344085678170075 0.293679517135603 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.636547074874423 0.620991124317531 1.63526641718732 1.04983361280587 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.91685529715784 1.87511623734787 18.4567208083957 8.3699821354744 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.22814438111788 3.18434827418339 55.3110774646104 22.6858609724651 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.524840881616835 0.512282607688475 1.08346946815106 0.729686615981355 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.05197317692667 1.01735430301959 5.06155213461197 2.65230876616557 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.11246178484889 2.06246394569383 22.9507252354741 9.99230224086206 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.5280259903957 6.49070203424309 234.612637245245 86.9049191411495 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 11.0685955524294 11.063809963996 674.705658662821 238.038714606772 NURBSSource NURBSSource 27 272 2 NormalsMax RusinkiewiczEstimator 9.14927057597782E-05 0.000460463049229495 2.42374052441298E-08 1.66715071018039E-06 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0607077428822097 0.138862788522757 0.0140155542569821 0.0679515239135961 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.12177873067232 0.277134629753592 0.0589553803667786 0.265475291450171 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.248073517797598 0.549039830809213 0.267310159171677 1.00083674920751 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.910465526010592 1.51605640967794 4.43100340268772 6.46101794894014 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.73307530709951 2.39902907020168 16.8563160843547 15.2116838563251 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.193726583763301 0.445604050726009 0.158015447180337 0.676330920625707 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.416381235733343 0.865492845881638 0.826937203725305 2.35676635576642 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.985751720242308 1.61495479479626 5.25867695365206 7.30692183390682 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.83663983375331 4.48284800456573 84.8332959044457 51.3563956210272 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.06854966867231 7.60532657381785 293.421167623044 146.326435373011 NURBSSource NURBSSource 27 273 3 NormalsMax RusinkiewiczEstimator 4.58158851051034E-05 5.14117511682899E-05 6.07942953133672E-09 8.63636037811184E-09 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0810615114909732 0.0404665951871095 0.0182199831281459 0.00456750761697395 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.159573510460318 0.0831957314135721 0.0738846514221805 0.017860581200965 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.305588862212921 0.179666908271876 0.297220262422904 0.0730767878828261 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.831539146785714 0.663386666516196 2.7751320454894 0.755449605821143 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.36219663883717 1.19941712076939 8.04876145998506 2.22478273408914 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.253704071835349 0.141858924501576 0.200274900569275 0.0475622936067064 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.475483804532818 0.320344774123899 0.804325612947854 0.207047574510142 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.89960217853409 0.734004008268339 3.32990536494857 0.918630674631822 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.68621608727268 2.55088161158283 33.2764627571127 9.28072012005462 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.58443871036212 4.47243721098736 98.7301260056531 27.1145824265402 NURBSSource NURBSSource 27 274 4 NormalsMax RusinkiewiczEstimator 6.10843734415013E-05 0.000117363136200267 1.10986790565944E-08 8.06845753849654E-08 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0880858557996285 0.0496556665255932 0.0220712096380987 0.00714507990876044 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.173265967203234 0.101893443130004 0.089012376106573 0.028105115231642 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.331258623309752 0.217623561858834 0.35484870330649 0.113988873367055 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.913094776331835 0.757602653762096 3.33941576353051 1.09104631431643 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.49991446600673 1.34433742649288 9.7435638919038 3.11250799711529 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.275378252093809 0.170456823859815 0.238698593918856 0.0751251418106593 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.518029069739302 0.375009519432099 0.958363323253106 0.313255262928165 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.98669996628002 0.828033593036089 3.98808850862514 1.30558947264962 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.96126452330179 2.81775821044233 40.685717081841 12.5247700722165 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 5.08801894004293 4.95257309446444 122.982401500012 36.5135973717343 NURBSSource NURBSSource 27 275 5 NormalsMax RusinkiewiczEstimator 9.5405307944614E-05 4.66985657288713E-05 1.15758463885232E-08 5.87527918210444E-09 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.11382369139333 0.0443349410916015 0.0362701289036993 0.00576964786092631 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.22458008038609 0.0909887511439714 0.144332076094256 0.0226519255983081 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.42841494991013 0.198990379282445 0.555022210900573 0.0955726715764293 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.10330958711079 0.77236560570793 4.63793922786232 1.12433182803818 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.7468590263451 1.42784706034455 12.9229481834889 3.45297104378964 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.352279377202 0.155175431144181 0.369416685692638 0.0601731597561357 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.649383214340459 0.359528003898335 1.39826701951646 0.280753681448464 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.17853210418506 0.848357213206724 5.41866008843336 1.33542346651237 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.34674154486518 3.06065696848266 51.3282086803063 14.2175829946223 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 5.65813025064223 5.39842499402152 150.392766402061 41.5419117211176 NURBSSource NURBSSource 27 276 6 NormalsMax RusinkiewiczEstimator 7.98900705685426E-05 6.33062792251377E-05 2.87156773282818E-09 1.40076320921234E-08 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0982785038391667 0.0794078581101659 0.0269610814183092 0.0174789353642269 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.19608166776554 0.158764359395227 0.110386333658718 0.0675809820798637 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.388587641121205 0.318189447600787 0.458226185712105 0.253815309350929 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.10752982872493 0.981297225652583 4.5480077913988 1.91830559139613 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.83246405639998 1.70564965096978 13.7807371482705 5.11236903998823 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.321502311712177 0.261275270063238 0.310588986744882 0.17521001086617 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.627974363105575 0.526415310800902 1.29970135540828 0.638096207750524 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.21072602036754 1.08431017773061 5.60602454897024 2.30732531547858 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.73401756731868 3.61225383253936 61.9512959333728 20.4251318938906 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.47495315853098 6.35858136907657 191.318834062049 59.0566394953362 NURBSSource NURBSSource 27 277 7 NormalsMax RusinkiewiczEstimator 2.9715068630458E-05 0.000180666490075396 1.4924259604114E-09 2.3627037494441E-07 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0400297162388307 0.170861824896787 0.00502159933940528 0.0829374978260663 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0855259747163146 0.335524779542499 0.0270059407508469 0.309336142358136 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.204958016621073 0.633896125840106 0.198507020190641 1.03137108944749 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.942606542747491 1.58941189061728 4.8327160992071 5.58422657571445 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.82708429942976 2.47093777011619 18.1692914813738 12.8271348338809 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.155439591593486 0.523901705691702 0.106087926464361 0.728547383639789 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.400969160081186 0.952853991030699 0.838608407211818 2.20326010551845 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.0447410554459 1.68527684856831 5.93394015290591 6.29878725999978 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.0591199175779 4.60399051553273 88.9358535697857 42.8712117321626 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.34606772789021 7.81182815330427 291.16135900146 118.847018386323 NURBSSource NURBSSource 27 278 8 NormalsMax RusinkiewiczEstimator 2.03805812373272E-05 0.000209947129524525 1.38556456354327E-09 3.0271693280301E-07 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0466910008574008 0.239492056383936 0.00798922108181398 0.167282585737983 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0968478958152238 0.474628734551344 0.0373131055250924 0.644871726601471 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.233072377986055 0.903876898616303 0.267654886504784 2.19826301619956 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.19901781892156 2.22114826256822 8.23601188346657 11.2641847417289 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.37208124271257 3.40668441885063 32.1155004192425 25.227788836412 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.180897681804059 0.758265842248116 0.154194682240805 1.59845638859005 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.498349023070994 1.37123801661807 1.38796013956954 4.7315745567308 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.37182593547856 2.3949067476174 10.8633984824524 13.0642831125669 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.42887405056493 6.3529619095122 167.1663621695 84.4282639329892 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.74512423791199 10.5314915169643 532.611085447732 222.02260555828 NURBSSource NURBSSource 27 279 9 NormalsMax RusinkiewiczEstimator 5.28419097777944E-05 0.000109339788698433 9.85795910579299E-10 3.59175199504235E-08 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0698010085347531 0.0600035204861403 0.0133877792165237 0.00922006492691134 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.139073842191275 0.120174194767759 0.055076290319166 0.0352629207550268 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.276227106837476 0.242635704736796 0.229911964584959 0.132248408558823 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.814968496768794 0.760293371239622 2.28378933150438 1.03282905324895 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.36070783829253 1.30523509730886 6.82139507988764 2.64482437147224 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.223785009332162 0.197823790255745 0.149596852849461 0.0919250951322349 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.44274696536603 0.403117426065115 0.628894103203289 0.341488593825777 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.877596577329193 0.831481603263596 2.70589563232032 1.23401514680303 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.72725237950221 2.68838308545808 29.5789658435832 9.70411684711823 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.71592459645683 4.68585025354026 91.168105150185 26.8579633829316 NURBSSource NURBSSource 28 280 0 NormalsMax RusinkiewiczEstimator 0.0347966893970829 0.0238333742341958 0.00557875587476108 0.00224929125103983 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.151888833082113 0.114524889577087 0.0794128904461961 0.0347959895725116 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.293314983795581 0.223599616461546 0.305175301454644 0.124866039461823 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.570112787018332 0.452856305287178 1.22486384592504 0.458012460655079 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.66551130901015 1.51466341463782 12.1198243629177 4.08389915431023 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.82381349796113 2.68347317676103 36.5889385292515 11.8686988464745 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.45583290696134 0.367205468369542 0.771866121179855 0.32103988846409 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.890403981076553 0.761473194616308 3.21129707210593 1.19706917881424 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.7795625871847 1.64107018239729 14.0614071354488 4.82571201616316 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.63658490112699 5.51371165302272 151.048999962614 47.2615730617829 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.68395518139445 9.57426160251501 450.572274693627 138.163671994303 NURBSSource NURBSSource 28 281 1 NormalsMax RusinkiewiczEstimator 0.0400312780241234 0.0411023073290398 0.00470477027821408 0.0066408712228253 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.237781154801239 0.246903256836616 0.201536416451668 0.193349759034767 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.474252684964963 0.47883478830482 0.928036244353695 0.678642987363026 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.951526372769393 0.9444897870473 4.35455129400845 2.442194917153 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.93178265680344 2.91575534414705 47.8671507867183 20.2049149642898 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 4.98493423892386 4.96415106364479 140.979512343522 54.8796052659972 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.783749259487965 0.773975793220369 2.88569466873113 1.68543606537882 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.58173645314166 1.55707115963877 13.3373789912091 6.28768661248252 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 3.23111954745157 3.20108778628051 59.4114641547829 24.2703434715103 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 10.0337867852246 9.98592575233369 582.06174396463 209.031347294712 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 16.8535861332212 16.7797362615337 1636.85758028608 565.128930349742 NURBSSource NURBSSource 28 282 2 NormalsMax RusinkiewiczEstimator 0.0163471664253564 0.0793638411131622 0.000918678850828073 0.0264108179762438 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0901047114441748 0.213984009156483 0.0335256507544031 0.161753040993318 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.178645068926005 0.394489286531266 0.142343359580877 0.541949951393645 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.37724325868777 0.750924434704074 0.719067278895621 1.83110117348977 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.44517907343282 2.02919236313467 12.1639216891323 11.49386368317 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.68801478632046 3.26731038384717 42.4812761275765 28.6225881024745 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.301116953199511 0.629972208134147 0.456265651678461 1.33241642698661 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.684092486486998 1.18167142241568 2.67744861066831 4.19979530145434 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.62121412876838 2.20741707683998 15.8624375360203 13.4302851857347 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.89963271700479 6.38640686481753 210.617108281073 104.872933985127 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.4240184492937 10.783667845856 656.832854153329 289.229060459764 NURBSSource NURBSSource 28 283 3 NormalsMax RusinkiewiczEstimator 0.0199715045831484 0.0080537512350579 0.00120008825816911 0.000218291797927425 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.116393083367007 0.0613845354166374 0.0401772461602548 0.010335431536723 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.222441449086249 0.128079182458788 0.158564947008665 0.0400486998854917 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.418073002453558 0.285918012269331 0.640496871970454 0.168954213569084 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.18103920901556 1.04535255259318 6.27911956984819 1.73050887791583 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.97681518412241 1.85299766841423 18.3384970746726 4.99290861842254 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.347759953602998 0.224597935052447 0.421941556541748 0.110703678254107 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.655182172578726 0.512615089104501 1.74253131631677 0.483081344066042 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.28278653871797 1.15078874000632 7.44473159904407 2.08736807016675 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 3.94260204090328 3.84195629937273 74.506401166451 20.3409824756228 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 6.69737413104291 6.61186011835506 217.262869798382 58.9383241635821 NURBSSource NURBSSource 28 284 4 NormalsMax RusinkiewiczEstimator 0.0246720797426284 0.0145016559150844 0.00188880232107674 0.000955960237399263 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.128963202345893 0.0753640566472245 0.0503280101946046 0.0166736897926596 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.244882643640406 0.154721745880379 0.195175562182819 0.0634300559065829 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.461309415775835 0.335364821576283 0.785925066810972 0.258144686742001 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.31029071684077 1.17022534177169 7.74076471333107 2.46641784443564 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.19472695479213 2.06273102226658 22.8217591623516 7.03447684746422 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.375661703741961 0.263939296326082 0.510398627658346 0.174584823902852 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.713165200668421 0.582229428828339 2.11732464546788 0.727733943277993 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.40143019068753 1.27331806986142 9.10548125107501 3.02654224476516 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.33793903044441 4.22351861031345 93.0457428123437 28.6696728926785 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.40515368954712 7.2915650621833 273.363151417043 82.4243307335654 NURBSSource NURBSSource 28 285 5 NormalsMax RusinkiewiczEstimator 0.0442433665092465 0.0104830942394868 0.00590181471100969 0.000435887874055798 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.164951338728331 0.0648502712816194 0.0807967808398778 0.0121410015671809 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.309733733448603 0.136542234912454 0.296040684939786 0.0488451017881675 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.570451247149417 0.313338712535217 1.11067931844397 0.225197494525156 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.50475897491393 1.21005191819818 9.81993080088531 2.60123514657526 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.46360458268114 2.19256567626862 28.133971634164 7.74960629717173 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.478116681111445 0.245157559517205 0.757937409156403 0.147521072697006 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.872089753085262 0.578353248430024 2.92291518710797 0.698180727723623 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.63630508699142 1.34131407398207 11.8568683761876 3.18747516789928 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.88233592945283 4.6357210855639 115.673243378173 32.2733684396446 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 8.26980208420265 8.03903294745867 335.786864868439 93.4996336063383 NURBSSource NURBSSource 28 286 6 NormalsMax RusinkiewiczEstimator 0.0359355460867043 0.0230733428093339 0.00391543438148465 0.00185017717269016 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.1483925656758 0.116078246256093 0.0648427825464989 0.0386328164105251 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.287040168375601 0.227908900992517 0.25499476861004 0.140311253875025 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.556555896089964 0.455845225198595 1.05483157998379 0.50257466774359 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.60369586781785 1.47707712286002 10.9913453902352 4.05980410283894 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.71843049248399 2.60657096284996 33.6098167482966 11.3273880507211 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.44885837598629 0.367842436777352 0.668523689741752 0.332459426301147 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.867738567218654 0.751255305154743 2.86090288232003 1.19557553995873 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.7281408915325 1.60156340501552 12.9146950024621 4.58631591019161 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 5.48970711630144 5.36723936234875 141.206512498582 42.3216158240894 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 9.43341039752149 9.29930814233439 421.197637718137 121.073446105397 NURBSSource NURBSSource 28 287 7 NormalsMax RusinkiewiczEstimator 0.00950661825871342 0.0748678788020726 0.00034536531675788 0.0165077821070707 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0621160430132322 0.254336654000901 0.0147783383690289 0.184186047330491 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.140483265979217 0.470141857327332 0.094553732592852 0.602261681751551 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.358793812454329 0.852957219814809 0.717369207625257 1.82498350101466 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.5790021424159 2.15870611398672 14.1478055217721 10.366435043061 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.93308732819983 3.46339109830738 48.2256499006888 25.5897614213502 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.271733754768238 0.721399119913463 0.404327160523474 1.33964300238169 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.711280298299803 1.28366883715577 2.92464436678313 3.88129214816668 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.75706969799246 2.33588285439349 17.605048119226 12.0096055379535 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 6.28966028045232 6.72781579015595 221.030250239424 91.0313496977185 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 10.9759689990686 11.3330279264826 669.92114248044 250.545432369602 NURBSSource NURBSSource 28 288 8 NormalsMax RusinkiewiczEstimator 0.0118608064177322 0.148250220510457 0.000546242008389146 0.0924565766248571 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.073473783697239 0.378952248112229 0.0228840571627623 0.442784552309473 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.161449557918099 0.684785309841276 0.130471926805313 1.35476910161793 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.431933031964714 1.22710471191216 1.09410064830776 3.93471433550139 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 2.05964055618758 3.01829158155627 25.2529186925531 20.7143201018041 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 3.86979939075028 4.77287110952998 87.9066256779753 50.0869476610388 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.324267433043805 1.04729130502556 0.607408921228131 2.96242698343788 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.909041654777042 1.83326857750529 5.00898249648511 8.2333960733893 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 2.32249764302966 3.28220241762761 32.1603830443201 24.8650071679206 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 8.42717435940361 9.22643723244546 412.462554187498 185.595852942132 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 14.6327134054734 15.3584733501446 1228.56964762495 494.228877377308 NURBSSource NURBSSource 28 289 9 NormalsMax RusinkiewiczEstimator 0.0225854718657526 0.018758036935994 0.00187401858613316 0.00128498430499482 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.103315143268141 0.0915302603076931 0.031998381695684 0.021358014860507 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.20077501711376 0.180472057881562 0.126594416963013 0.0772462725048679 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.396189128006357 0.366385030713737 0.530176506966686 0.2830634604409 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.19117503618537 1.15950230159364 5.56069736893714 2.11898034993862 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 2.03355163497283 2.00755913412284 17.0937672165059 5.5404145799001 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.327234793200901 0.296382630685968 0.354751145133695 0.193580722956104 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.648145711159456 0.610341105017874 1.52165662414513 0.70124008798534 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.30683309750235 1.27451630988762 6.80712167912098 2.53614491545222 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 4.18562001303566 4.18447354568283 75.7572814320225 21.6395836091534 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 7.21843653389971 7.24592999569063 228.816741643964 60.9665268599009 NURBSSource NURBSSource 29 290 0 NormalsMax RusinkiewiczEstimator 0.0764540682148899 0.0566198562344517 0.0257252031900273 0.0136088321213237 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.599802905189282 0.542828574115146 11.8352407451246 22.4056617620404 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.16100756464185 1.08417789878604 32.297436084335 53.0132719860606 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.28003137254174 2.16878671804756 87.5603103768033 89.1364959559823 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.60488617075241 6.478441247146 507.805194730762 385.688038599488 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 10.7289772052519 10.5259513304812 1130.08163598219 768.344745256421 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.76567764324944 1.7750072214148 51.6585952140596 89.7411806132901 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.53111600108011 3.65344187285251 167.60190361736 395.363522328673 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.0713186272792 7.44244578428507 623.848694703278 2870.15069719629 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 19.0678180843346 19.3062182844232 3055.33909376882 2570.16257496742 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 28.1249670880262 28.6152948265508 5624.49288299699 3370.24370296707 NURBSSource NURBSSource 29 291 1 NormalsMax RusinkiewiczEstimator 0.0709472684265974 0.0932260132518971 0.0180674117308752 0.045567096676496 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 1.01612678620491 1.10829403568485 34.9752247621658 46.3651525623715 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 2.07371697403678 2.20738892145105 156.574651006906 232.652132930005 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 4.05918899116907 4.20283691634527 433.478754443998 442.03468375154 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 11.340965377116 11.3902411297918 1694.24513274019 1427.41085086922 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 17.7385332258054 17.8086947304821 3590.39810537157 2706.79187850977 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 3.41253459696845 3.5185195727162 588.432344773625 832.495282799863 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 6.36958695301571 6.33432485671208 684.4748613108 501.982962656616 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 12.3317527158482 12.0841327297726 2334.21617810437 1378.78022038078 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 30.2050509144984 29.3853496870252 8705.69182131433 3962.5255503277 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 41.3744964494089 41.0914092224257 12722.655570323 5949.43952680948 NURBSSource NURBSSource 29 292 2 NormalsMax RusinkiewiczEstimator 0.037463560071721 0.142985118579654 0.00575997522103149 0.0968683009499219 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.519589223940854 0.77727156974767 20.6379830962128 10.3757697056522 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.08828006168735 1.43561957379022 42.3073855287636 30.3126940469179 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.29536385925414 2.70068709749424 112.249370596181 88.8934541056419 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 7.14922748346522 7.47421190146713 722.058483259051 557.516401632326 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 11.3945921818385 11.5941852102253 1476.617999036 1039.40186666709 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.89896500788026 2.34616589498824 125.43590976297 92.9133565402605 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.84352893310762 4.42292964908071 299.219277905481 272.012325818739 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 7.56702861234023 8.21805706715946 743.81795501726 652.468828533094 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 19.3548764701266 19.9381553742711 3309.57096944846 2078.53182420676 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 27.971288906825 28.1948830002646 5807.45478458078 3144.07429941496 NURBSSource NURBSSource 29 293 3 NormalsMax RusinkiewiczEstimator 0.0402809064707173 0.020223304703472 0.0054872449180886 0.00164822029683065 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.412618971021353 0.360452550142494 6.90945715417056 7.18790132243682 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.787811867279468 0.751891302251718 13.4379342060607 26.466411031799 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.5335076676143 1.54839935568676 34.1881064034186 82.0076659445337 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 4.45402342135713 4.55169071496136 206.158697703643 217.303101124208 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.16793111147987 7.28247948643977 471.35418667634 366.537806132486 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.34422184707818 1.22064170451534 41.5786250882765 33.0065474222552 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.60049446614873 2.4785608078702 113.880068299532 79.9503050576558 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 4.98007588409535 4.87135374805877 296.282360964174 184.993079104907 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 13.0661562964548 12.8587001780092 1377.98077627684 682.161759645908 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 19.198644247418 19.0445929895644 2616.17337696511 1211.05566841714 NURBSSource NURBSSource 29 294 4 NormalsMax RusinkiewiczEstimator 0.0489754022717943 0.0304755190898031 0.00838175662936833 0.00474980946286346 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.48305100701601 0.409561376629094 5.60833868408562 4.3799685852861 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.942597371180397 0.855057619914519 20.7283213747324 19.4122009716057 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.85015395820244 1.76043969370495 78.9859727964956 75.8321661690917 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.33941474534054 5.18830694945698 519.864217842101 260.576402991767 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.35892453871144 8.2260180760952 838.06572275686 429.151727902141 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.49343539384008 1.46754984378049 39.3533488419964 48.0009829729726 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.9533455351075 2.96359147082206 143.501874034954 158.709991250367 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.71587002089106 5.69403958770122 494.731074589373 355.379151723378 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 14.3820349155061 14.4087015864937 1684.14923829976 939.769589720852 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 20.882867945825 20.9143220110746 3024.39248697615 1489.28141674458 NURBSSource NURBSSource 29 295 5 NormalsMax RusinkiewiczEstimator 0.0732354323913383 0.0273625567713288 0.0157759331232664 0.00316872901585494 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.579686193748174 0.413034552143043 5.88064632966268 6.06326793021342 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.09782064095807 0.885343173090125 21.5857982671821 23.5757120542922 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.08877645711297 1.84947869095938 72.8796296851179 77.0915070786262 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.86485177697082 5.5862346672601 462.672517370841 317.057874684919 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 9.25537895637119 8.97477682427278 892.323061943192 553.062120563981 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.7323326387761 1.44929751461123 67.5230899356464 36.3242969543464 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.35631575422821 3.01685281783683 232.303973087873 109.697522226811 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 6.41754024359431 6.10928035253972 625.953969716203 363.530177584426 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 16.433004176733 16.05269773326 2302.27417313383 1136.75022665444 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 23.5668711421825 23.4647793371814 3867.35709151568 1935.57148103868 NURBSSource NURBSSource 29 296 6 NormalsMax RusinkiewiczEstimator 0.0676581278234399 0.0504659473189977 0.0150073812413071 0.0098992895889366 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.565381096872586 0.533733831588808 9.71162146766073 17.8225366982411 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.09944030699492 1.05843827493212 34.7971151534851 26.6189678542578 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.18428959117442 2.17203184650174 115.549224537071 81.8007165585876 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.48108084649115 6.56995117505338 656.935809858413 429.579817679467 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 10.3779012555411 10.5306805687992 1186.1139297176 759.703070340583 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.80155115523378 1.72953668475181 65.3466102158036 91.1016754427335 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.55454343405964 3.49127657304716 191.535584260398 192.661073783889 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 6.99391089710895 6.94428225115579 583.709415225934 438.548731756168 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 18.792620840761 18.6083028574631 2904.78658840355 1490.57358869598 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 28.2896504006443 27.5815313573418 5849.35590577678 2358.79821758733 NURBSSource NURBSSource 29 297 7 NormalsMax RusinkiewiczEstimator 0.0244962470518685 0.135789062387786 0.00280636251972301 0.0671290195771967 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.537699808278803 0.906151264714611 22.1849956368555 22.6110990505624 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.16817494585195 1.65115917136186 54.2351309586516 95.8941895550138 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.50291594121117 3.01240906930031 170.683800700854 187.502181868612 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 7.62623829374082 8.0724139852054 915.684639663271 889.033091593019 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 12.049024362883 12.5600915736315 1682.45415184374 1510.41992874784 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.89700081329578 2.37620756109637 105.983525535563 79.1252641986715 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 4.02584694482329 4.46965763928939 328.544469618865 228.566131514622 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 8.0414582785976 8.38729585791331 931.958961109594 613.751446119454 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 20.7262744327014 21.0393855790826 3700.32459536721 2256.88844771004 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 29.8030105185462 30.0540438481362 6345.08159955806 3276.97594982217 NURBSSource NURBSSource 29 298 8 NormalsMax RusinkiewiczEstimator 0.0344450075749438 0.235445781405761 0.00757707743361782 0.273334607574806 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.676511965960108 1.23334751343014 13.9402853095158 18.2510198997433 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.53257890709902 2.22735002701393 56.8608229966366 59.0984545407066 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 3.37417208733559 4.131014645844 224.584373364353 199.414867291492 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 10.4927449155149 11.0856298564934 1596.59789361465 1107.36477605972 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 16.6247720933213 17.0119442431994 3276.06732447984 2044.5776276145 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.59328694312735 3.33152673635725 153.864481935048 129.758654742745 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 5.47567180544511 6.15208029067585 543.446655150998 378.303683783207 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 10.9736407774331 11.4460731232614 1623.31874742518 1042.71165318659 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 27.9394387388273 27.824119104429 16282.8363759239 3950.97471317021 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 38.3006233757089 38.6321214502304 11045.9873369005 5273.86584091124 NURBSSource NURBSSource 29 299 9 NormalsMax RusinkiewiczEstimator 0.0512938852093914 0.0486704511175503 0.00967708902460421 0.0103021530630916 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.417421237174676 0.407786368294759 2.30812279758805 2.31072402934561 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.832759928866288 0.821191446183333 10.7111244670165 9.00904211916755 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.67601521669592 1.66598523616234 42.3575490988375 33.4303608895076 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.0553501628208 5.01453331305201 289.439361914418 204.589465370301 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.19915530190399 8.17110272320516 696.460829810404 456.916604657054 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.35165312525173 1.33093347006981 23.4299466841243 20.4956514841177 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.71669260560843 2.69880943640887 85.0216903495875 68.6309007681058 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.4244464489207 5.41843522609572 316.335070783976 261.050022857718 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 14.9421155180389 14.6107083834591 1783.81764528052 943.326068176364 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 22.3719858167313 21.7729010392619 3402.40405849985 1328.05855070786 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax RusinkiewiczEstimator 0.314017994602241 0.312964542944017 0.367018775866428 0.310444470178446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.328845329197618 0.328455860828719 0.424368768008003 0.344214816694034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.343953560038218 0.343549735084243 0.502758896110458 0.377538689110605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.373118893008072 0.374675756575122 0.595339158069631 0.468142780185926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.501128907299631 0.507896691034044 1.23528000853839 0.879341895877676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.60724553234316 0.626959734398934 1.83150834238716 1.26633255680541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.367121226220055 0.360611182654749 0.576677977499934 0.442603254436155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.425888592665111 0.417659847765924 0.932747634265805 0.609198183583926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.527725628837812 0.522523102325566 1.48313386338048 0.921210041984448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.849161818224675 0.854124883711063 3.63394635585779 2.00774710860033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.07563589045379 1.07187668546977 5.59721905584585 2.7354682217063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax RusinkiewiczEstimator 0.594591358070002 0.593392430572584 1.49875109868022 1.62588815213594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.618880432692267 0.616109499542449 1.60574611165711 1.80690173477769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.636815807429942 0.633603725567404 1.67836351390186 1.97461567397049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.670457973872271 0.669178924724038 1.82523465627493 2.30042667227251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.793606481780841 0.789621444067129 2.69490362799115 2.27939136598576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.901800591614067 0.89920393663374 4.04553594784518 2.86607513942682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.664815896391953 0.663547243745146 2.35701241329144 2.24497078348944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.71940115417892 0.719659331322636 3.34523556436365 2.81328210281234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.820550701049417 0.824752887153107 3.7798602685884 3.67592754703687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.11617151476099 1.13197336844938 5.18218874619175 4.69986507859606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.32882340502809 1.35268547248114 6.83782171953095 5.27665849144481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax RusinkiewiczEstimator 0.227157129125879 0.226729760603196 0.23058526368372 0.206013955825141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.261321139441389 0.264611767673836 0.337263829020827 0.29167687328659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.293361871741571 0.293209170899476 0.443554648910316 0.355584667244719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.356348095835064 0.353439064753957 0.699353967656216 0.50347244523423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.526861327517166 0.533054485826413 1.46747163883252 0.920041891210539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.676260681228422 0.675631333285575 2.33967746702231 1.21801693355098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.329873956409955 0.333548494642214 0.596001480230347 0.452922583936482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.413577147182354 0.416520090714103 0.952088921177742 0.645860657725837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.547469893023755 0.54321393923202 1.60650257217223 0.901642666416979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.968456370082822 0.956518397591913 4.52361383474646 2.01397610694708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.23557004088532 1.22862414407783 6.99690880974649 2.74445984223939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax RusinkiewiczEstimator 0.239342556243038 0.240756336209436 0.229454255617703 0.224243387647966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.26790829245124 0.264205441528232 0.32068156083762 0.280607544260576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.290614432930562 0.285381278203301 0.387058142020261 0.321020691925973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.33938362884821 0.337933529655205 0.568301497655994 0.457714302848573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.511887441466732 0.515846838512796 1.35322990831617 0.916796285927863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.644564790148404 0.650356084882997 2.11581451311056 1.30075708897911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.317586792786257 0.324722562865134 0.48544894399472 0.415642864966583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.394171552716057 0.402053505771865 0.792758270452528 0.616235128029615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.52710815233043 0.536448596810541 1.43284849779961 1.06962324492634 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.927744047543343 0.927200187095419 4.10557328835016 1.99178578745259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.19369961642788 1.18379268919163 6.40793908125801 2.77495314606776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax RusinkiewiczEstimator 0.320601112203447 0.321245396606863 0.299393947113257 0.294983131830845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.337005733005087 0.345003061669009 0.358108836725922 0.373587310632218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.355801071689747 0.365555334178968 0.434647777413858 0.433967816519416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.390737496286448 0.403097962494365 0.579054373540342 0.551121774148141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.525115610716363 0.534723000935963 1.23781734214645 0.898064378353566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.65354622125699 0.669913899391907 2.04280805665073 1.30447624707045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.38346683049743 0.382083625008129 0.563564631246978 0.454049950570469 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.43932402828665 0.439019227962636 0.813621238000091 0.618342518780826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.5450031994461 0.543857202858155 1.37751046548632 0.936677484716335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.885364724223024 0.889077242171484 3.4869714292832 1.94816660872559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.15067882567 1.1486219271635 5.81917331245494 2.88766892686633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax RusinkiewiczEstimator 0.341518230572582 0.339291572586168 0.819181518202202 0.704852571862212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.356771179623257 0.355172756540096 0.81603736965173 0.694313326941217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.376907039466189 0.372191013531598 0.904749293376136 0.683606964474458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.408611858299412 0.406466393183254 1.03996769762223 0.769932384998996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.522185337463839 0.5309307070677 1.77138872282351 1.27443202117725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.618086110287435 0.645434026387429 2.1002078380447 1.9528879718731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.397416054766325 0.391531129268139 1.19856915218911 1.20984319630777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.454691579159279 0.448613855618418 1.54409994501052 1.76096115074224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.548042651308319 0.553586110446411 2.07514165774838 3.10945755732534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.834232563596949 0.819519988657035 4.80576293883896 2.85609540191666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.0277346823598 1.00608372951505 6.28804187255866 3.45163919788905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax RusinkiewiczEstimator 0.265405372309505 0.265599330728881 0.213949917368022 0.217732926471428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.27948700078987 0.279391130546073 0.256336745636839 0.251255599274631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.297236071717826 0.29822317908765 0.317147337735962 0.305466684231962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.334596295258925 0.33276447100612 0.469042315890661 0.399654719410395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.465726355756954 0.458391792155621 1.06668652919815 0.740873641440575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.583569206619488 0.57996389268766 1.71325441278288 1.07171729642446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.30956736382445 0.311901064863586 0.364028922496011 0.331038830515372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.357272708729802 0.363217929903649 0.547359807479194 0.468122496287161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.45483932274652 0.463672772233335 1.002456888253 0.730098707610827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.792397764718488 0.809737514757237 3.10905543523423 1.7811140738092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.04401211878227 1.0620644488663 5.30748592284637 2.74126353752819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax RusinkiewiczEstimator 0.526399365514249 0.525377866238885 1.32860310266212 1.16027415953238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.546814940058633 0.54635061892533 1.43111457645128 1.22402619567722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.562853327371573 0.561314946837198 1.50909152149212 1.2714803324729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.600811820647404 0.59472930902808 1.73474128587434 1.40209435647242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.722290931384602 0.718590398261631 2.52944259180552 1.91005207390268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.826188599351626 0.82727099116041 3.30041763430924 2.40421868310961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.586280733636725 0.585479987988943 1.62165718552692 1.33803228020894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.641862532616313 0.642634079901817 1.92375798313978 1.54554639223248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.738171980314297 0.744941189670534 2.53648372793746 2.23540923018111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 1.02383696614657 1.02849620842329 4.73510162789224 3.25787612725123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.21955504566937 1.23365180605103 6.45379066586315 4.06112892874938 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax RusinkiewiczEstimator 0.252080612511575 0.25008945448669 0.89118017522467 0.785178192457025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.269474681273425 0.265179832664403 0.995521744809827 0.873286367588441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.278896014417283 0.279516890229985 0.803057528868335 0.968590339843314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.307777275141989 0.308868706240037 0.7445550868045 1.18216481850463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.420278672640691 0.436990529290761 1.05156829038521 2.90753716096808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.527505785892883 0.564083098964058 1.83497161333872 6.30175289458191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.306085028696538 0.290506401682665 0.957313835734988 0.479388327055574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.356969968395991 0.351759851172035 2.09487923805507 2.76822644180512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.443284015718729 0.445397875791097 3.38176359027587 3.51313401335269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.723690966097969 0.717922742415711 3.76191655250461 1.98608498513261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.90093866751527 0.905849989286269 4.83881177132083 2.62872070911119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax RusinkiewiczEstimator 0.210991260500915 0.210781580924972 18.5187004705962 18.4359902664489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.234721564883562 0.240298299899846 20.8899353308009 37.3717850532494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.220722449083397 0.223851672355643 7.25128009863921 2.9909729305333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.267364218385194 0.281185014263071 12.765073716552 20.5358027844136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.37812605304516 0.407800840839535 5.19143915557587 13.2025903549978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.491344379876638 0.511631266413129 5.41174069652885 8.35033536970133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.256606577644044 0.23733335548044 14.6496446836792 3.84775785521098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.304341394081574 0.293523467183672 14.4103715727377 5.63493951714039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.399202912395393 0.395172907652993 10.5393125012055 5.28250973266316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.71108116961751 0.714028392289843 6.5333928344446 3.21436293144454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.919280336713311 0.927061126547443 6.311880785407 3.73631917921841 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax RusinkiewiczEstimator 0.261284735623455 0.261093791007554 0.313092348534733 0.231596421048159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.360464606794353 0.361242364570618 1.00141428396285 0.779470856578237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.466696198750744 0.465216469010115 1.91115597480151 1.43738747734942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.649911190926648 0.646879182328338 3.58926681602828 2.51154177497259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.27606114054669 1.26648420897824 11.7795346797898 6.51197536591759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.79358723860461 1.78336323957937 20.8569198411416 10.1605897474831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.598995880769649 0.597536184569915 3.22971326723088 2.33675186894764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.88574538592306 0.87857238703373 6.5091421034894 4.09672923078272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.3690370991549 1.3556030426087 13.4438747073668 7.20375933830317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.69466465898262 2.68235660680775 41.4550547678697 16.6693923202897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.55606388740328 3.54872568286691 66.8120104829724 24.2410779793442 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax RusinkiewiczEstimator 0.435686049235858 0.437404926278636 0.742024754529111 0.695783472426832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.54096076039604 0.531723310915405 1.65355237029626 1.24374714268561 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.635511484246172 0.626296462482278 2.55410714307237 1.8408624573179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.818241885701662 0.800311721753068 4.51550523510118 2.91328309444348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.42758884054622 1.42096595004437 11.7970330962261 7.8319857208175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.93422771430842 1.92803318792994 20.2722967968571 11.0973792030136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.757224601936025 0.749032185388493 3.59836223581795 2.78801708290826 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 1.02361956629588 1.01274126113244 6.38503446057126 4.95566949820414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.50801970921093 1.48134991047558 12.9416333866669 7.80271128182198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.88596918333193 2.85427914268028 41.8731338508858 18.358170365649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.8050144240919 3.77384782499127 68.3255313059843 26.3768612416885 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax RusinkiewiczEstimator 0.29021665407677 0.288960159806519 0.377160741427967 0.312267129720711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.396315809854475 0.391331026047776 1.16384818895542 0.877969381684087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.488904118027632 0.484388891030755 1.88998322256759 1.34682729338421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.673391207585868 0.669097968569533 3.60787382352697 2.39790213934082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.30761458417857 1.32450691309818 11.33756291697 6.52536095797656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.81279184748325 1.82817459719871 19.7747902363184 9.93800565297186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.602050901304392 0.614088471947211 2.77473227439487 2.06284207325458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.891822871238395 0.908276087747527 5.7861632428241 3.77352952007228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.39085882287057 1.41336988044723 12.7094037385131 7.18553433334555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.73779957397033 2.74470795932392 40.590426915984 15.9100454127584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.63266918905782 3.63604528530512 67.6376809397829 21.6939813725023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax RusinkiewiczEstimator 0.230609789769519 0.230914533154213 0.210309091929648 0.185889920085748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.35038605008854 0.347346007872548 0.97350588892425 0.782511574938016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.470199465906888 0.466358252113922 1.90657308168334 1.47317901773757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.694721419054068 0.692033929155521 4.12923105227347 3.03518827729356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.36825803463651 1.37442101959476 12.6196164205833 7.48198157586396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.89309973206542 1.90181953764675 21.7467758264691 10.8278533252583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.603715752744629 0.604562366232243 3.04902430061506 2.36872925456222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.917083084991973 0.919017215606445 6.52715361434813 4.37130485379214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.42013213303638 1.43114221097412 13.3796312255778 7.70908456624558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.82059762301511 2.84937175019579 42.1149932403218 16.9661167458166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.72980589433577 3.74546916467552 69.1328338017426 23.3674979255557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax RusinkiewiczEstimator 0.234984794864304 0.235252850598457 0.197610744191611 0.161906069941478 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.320859961119779 0.319830548599181 0.712840083169192 0.55482788465488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.418245548766207 0.415560583389851 1.70892059045133 1.01880042843073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.607317397181389 0.612659904652493 3.00680647532592 2.18128391946761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.2696451226054 1.28457914957102 10.6576080780196 6.05660551090455 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.8208391550986 1.83204541646219 19.8543982143841 9.40046338788188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.540555374846611 0.544490315571557 2.34971545599371 1.84652004957627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.8281522473883 0.828734332930646 4.91549903491733 3.14931009137128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.35933462531449 1.35004530308013 11.7111144665639 6.26555862080911 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.82678774746263 2.81166432760204 42.0279499432355 15.7560968082657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.77266162148053 3.76267586618255 70.9420155889387 22.9463964425699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax RusinkiewiczEstimator 0.276764486747808 0.275887620211494 0.427311051165982 0.351085460140012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.381954860789919 0.385098488271744 1.21166678199148 1.0603835456142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.474384061087506 0.475698200419937 1.9507918279054 1.56779004454695 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.641908792859839 0.637684134372855 3.55269285764064 2.72033172557399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.16364096253291 1.18077210366879 10.4264235632464 7.8859798908402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.57992755253592 1.56685431077921 18.2932986463221 10.9124990262247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.595932345374046 0.601875727445922 3.31259427730357 2.68826591221283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.831807394176094 0.833896244843616 5.85373251485324 4.2146196453702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.21071267933836 1.2240361851396 10.8067267933716 7.33430513897073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.27479630535055 2.30185655946479 34.5189160057546 27.2456816081823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.95627341126841 2.96682753574858 53.9548218440642 22.1927423202727 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax RusinkiewiczEstimator 0.203425027730504 0.203386824299248 0.16251327892507 0.120520171221947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.323666387798191 0.319233208915978 1.1163306812777 0.869833053788549 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.424654185980742 0.41915838937197 1.83287477402806 1.40053486964249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.622289978304922 0.616174789449452 3.77137109482423 2.66539681670193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.2399944096301 1.24333230725388 11.5540651002154 6.84239722138771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.72610067599099 1.73467275682734 19.379495537495 10.0898873917253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.53809652227828 0.539799800333767 2.81105022540585 2.17344175935559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.817052796198671 0.814849639884799 5.73313016361727 3.81247511402053 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.28726237891756 1.28713881165497 11.8544577370957 6.80196843825285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.61974306481453 2.61045543165641 39.0242515976039 15.6377118369359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.49265781840924 3.49152742352236 64.4461326265977 22.9052920134017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax RusinkiewiczEstimator 0.421492864887442 0.421172010460066 0.750267109733374 0.633323552757774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.515647517238358 0.513260268004586 1.5252849060502 1.15388720259339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.607891134523949 0.605694188611149 2.36316097086522 1.67966733188668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.791465792955746 0.791343441673943 4.27018199569862 2.90232832871446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.40299189249497 1.40373383741034 12.3472480575875 7.00400005284673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.899477446893 1.89176282263084 20.9642183870415 10.2498202966468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.714790210343788 0.714803630481994 3.34327624309827 2.40973354403713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.984875163761339 0.987867550718785 6.3734034807233 4.25460924465037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.45622361614912 1.45876241160774 13.0286568815427 7.40263135580977 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.76229081862037 2.77144395182839 40.8929016189346 17.0726876940585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.61425202411626 3.63238265646193 65.1323668846424 24.033265542678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax RusinkiewiczEstimator 0.181595939929018 0.181908903708579 0.142843247017062 0.120027981238068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.276988198395796 0.273566533296994 0.996168370909112 0.924121416486611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.352279622344061 0.346295260501879 1.6204238973455 1.16337090936921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.501679439544626 0.493186153987671 3.06770641920954 1.92480839419741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 1.01764421444431 1.01332759663772 9.25207428821888 5.67812931021283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.41744410769486 1.41772408303048 15.3828253409533 8.79311958126315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.433231164348245 0.435537854074973 2.10705138327979 1.76697068684142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.655808987631568 0.655939564544838 4.33678620597971 3.19683813405895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.03340885478843 1.03923127972107 8.94604761928171 5.96141435493851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.10548757899625 2.11922485737077 28.8923082913862 14.9642911712252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.76939556898331 2.77911056494512 45.136625702594 20.6120313094215 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax RusinkiewiczEstimator 0.134166141799653 0.133939702911385 0.0881766861257715 0.063300198858603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.228704579060803 0.228004799471675 0.7616552820838 0.614706020292786 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.316879092343475 0.315056163634134 1.48348892386966 1.18183726125913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.470896293304447 0.466666911303666 2.87522416999777 2.17714792726682 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.976573963115027 0.967827424191857 8.61992990886082 5.44904490542351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.37266717931981 1.36811174685448 14.6164133478545 8.39544046964541 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.417305669345687 0.416122490827566 2.34582606481875 1.81646100273942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.648394711918424 0.654520583310635 4.75847613228752 3.57413187098791 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 1.02318138210925 1.02568571176411 9.42511685821273 6.04032247647416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.09361049613636 2.10024363904566 28.603830494752 14.2445099917907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 2.8214465512166 2.82122180134106 47.5818466436371 20.6081217315184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax RusinkiewiczEstimator 0.273121439954278 0.223421881472974 0.34311763372219 0.148141017643391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.800994455797723 0.753923529676804 10.8944325050562 8.86070279189179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.3093985989426 1.26434220556524 24.3210992051387 18.757385371722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.16835158029087 2.1342075042361 49.4947361323878 34.3108742805068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.01961218260652 4.98356919322124 185.892589254695 96.6505484525196 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.25785498329148 7.23000333137266 340.384510610403 152.191894565097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.87961348155223 1.82308072283653 42.1287956065282 28.1519387809287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.22717184095549 3.18357190935501 95.4846028046082 56.8857202616586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.42295018653219 5.37512802982703 217.96459993024 108.141174625269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 11.243856395621 11.2438991035147 714.633774628584 260.961822290394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 14.9480294034867 14.9558679335208 1179.27770344802 374.909046071758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax RusinkiewiczEstimator 0.342955994785264 0.367456115159613 0.416741556746138 0.492052679168953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.919102845418065 0.970573286709746 11.6971592252224 10.9730324359639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.47631096014649 1.54058832501761 27.255158898941 22.335987038676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.43149058211937 2.52206088424883 58.3131138248182 42.9391113968006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.50219170505454 5.65110252547668 205.991784297696 109.400376303174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.92504074469216 8.10694486500632 381.577513857199 166.019167032875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.05039820684599 2.11892941733132 44.1844584715965 32.9770577407574 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.45190564834165 3.54234069506466 97.1979139022714 60.8136727753641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.78913969623746 5.90006662204961 223.290122183544 112.443755885523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 12.1575133460774 12.2755910993664 783.266095907328 263.400865239365 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 16.2129296246505 16.3562778242631 1301.32300444997 371.254748034387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax RusinkiewiczEstimator 0.163335807111322 0.165816007783316 0.111768198346337 0.0874828716156398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.949559117452788 0.927102971447306 15.8199934785707 13.533477204225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.59855839502669 1.56211158035679 33.3238358597329 25.819594506121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.68513414289021 2.63273788848148 68.6563564579947 44.0034436507385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.09730609105799 6.03732553076206 246.909721041353 110.255744014635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.67794570931265 8.68578499640937 443.585843343237 169.801616873965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.274088328475 2.22521230197161 55.2497531970208 37.4395477212166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.81362320698396 3.74439091925993 117.948935889723 65.2123119604554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 6.32007022036339 6.22680208426663 262.508021624844 113.751550346318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 13.0348624378921 12.941119923083 906.377876858301 263.500571651647 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 17.2816599150094 17.2597063351989 1510.55003948126 376.984688986286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax RusinkiewiczEstimator 0.105856394365574 0.10376283389594 0.0475473897638998 0.0344700891448087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.903578599905666 0.868697700366124 15.3313209545171 12.2586988115637 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.56543188042811 1.51585878311732 33.3926416850468 23.3679729217527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.69090807358849 2.61847801324803 82.8844667744374 42.5102712430603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 6.0756157089406 6.11652783147923 250.300320450926 350.977935842288 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.65361232920568 8.54037772662095 459.2485009258 172.545677135219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.36168965305768 2.27992027715521 61.4563342567961 39.5712689701119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.91164611155335 3.8292785247365 125.664446059765 68.8386670792662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 6.41232177345934 6.31612923549389 273.119874697138 113.113620368771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 13.0529158881351 13.0004249412933 924.981056080925 283.934906010281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 17.0095193848918 16.9838520746113 1454.64257623478 411.351963587264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax RusinkiewiczEstimator 0.240288842776281 0.225953837405317 0.225021868248193 0.152014541956322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.917969515957209 0.903958442135138 14.814930235721 13.7549392659617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.50353025938705 1.48965773563095 30.0001971519449 25.1832222711373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.55831133894759 2.54903586637533 66.0311609717329 46.6509563057898 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.74796831046696 5.7346329981806 230.416348181246 111.428629087373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 8.0920598673488 8.07198730042018 399.953535260328 159.697556348267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.13909935490339 2.10554178022424 50.9792071804015 35.8765599908233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.57114403104796 3.54457047604699 107.205549508471 63.635154511276 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.97478039757388 5.96826274556275 244.114606255029 114.978326141602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 12.1385245796927 12.1034138176753 800.822121295345 249.156413250231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 15.9914743616138 16.0296258504487 1292.53890970694 359.950528575317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax RusinkiewiczEstimator 0.209920990709113 0.238281797933981 0.25217315073234 0.240287527060031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.807387643074696 0.833044038364676 11.0945301307263 9.14035528658925 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.34927704816407 1.36705925201142 24.6996180005932 18.6174148117509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.32186393423614 2.32991617428017 59.357815956286 39.0743957040061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.14906798576154 5.15015070264868 207.004027564316 109.763816585166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.20220462221396 7.20382472721992 403.162443723558 182.835100858035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.94831685564057 1.99212523862325 43.4446982273608 33.5773725090038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.29985337387875 3.31385780115985 101.440018940311 60.602722372706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.36996736310554 5.40612463919096 214.989023134153 127.714253581322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 10.8579315694049 10.7802267540069 740.342425820217 274.439561297159 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 14.1429881791766 14.0915919762396 1152.31155653428 519.880260475086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax RusinkiewiczEstimator 0.212153729312118 0.169578935023227 0.180682022469544 0.0884705634161121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.789269704157163 0.754664890313856 12.9808819042881 10.77340753872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.28158708339959 1.25391193358618 24.5294160073949 18.8806094305182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.19941022642259 2.16818848371469 53.6738982539881 36.7629913643423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.1143675604403 5.10587190560321 197.474274390355 102.093784441369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.31612415295032 7.35298345060957 350.052317787959 162.740332676362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.96902122906839 1.94358229353709 49.1558441474399 36.2780144796036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.33266251164781 3.28672170014843 106.667739481191 64.147458639309 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.53060619779126 5.46803621731353 228.014148543684 112.194872573807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 11.1721719203884 11.268048276117 719.600667097591 268.778058388154 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 14.7710124480213 14.8824068965952 1171.25118115875 380.199740935257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax RusinkiewiczEstimator 0.408446400399638 0.330489359536335 0.670105818473978 0.410464559058677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.97973222127517 0.887774179442143 12.5604533779086 11.0857148071052 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.51439575447719 1.41251830526261 27.4434917265809 21.7873232346335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 2.4514441176366 2.33245499438976 59.1859105365322 38.7622273347002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 5.34437474163425 5.24522571688843 198.785745305483 98.0160718406168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 7.64535244790125 7.59086190927416 365.197333574549 157.485972957616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 2.10589295952697 1.98316728698877 47.0473088167433 31.5167301036533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 3.47892197020806 3.33808417169594 102.786989629628 59.3708454033351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 5.71151678832833 5.54615571822052 229.081709474383 109.606150406556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 11.5453643125812 11.4556002544773 743.396414151048 283.583358176481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 15.2587557460048 15.1010877010718 1225.7783785819 372.326051207554 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax RusinkiewiczEstimator 0.190670202688436 0.142231669755424 0.140357693184183 0.0805827670500855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.670599991206034 0.623680768926431 10.0681419728255 8.70152369474702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.10105641159778 1.0522848557304 21.9517939568975 17.1141061354047 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.85291196116581 1.81545806418742 44.3386482292839 37.9990635791015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 4.21426791312108 4.15800462305287 154.92128222602 91.2934264287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 5.99315212662887 5.93490668659495 266.884117413957 139.903377775821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.56828387272642 1.5033881654247 36.9722864523584 27.5289552703348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.61425239720215 2.54127684725824 75.175463684043 49.6034644093432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 4.29787750934499 4.24663318746679 155.927186550112 93.8734924220542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 8.96914222607688 8.86786500436734 524.6027349594 221.836133480362 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 11.8759524558009 11.7460461959339 835.163254645823 314.345208280995 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax RusinkiewiczEstimator 0.139989044783265 0.11057770049258 0.0978620386654122 0.0463492822242282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.648945446798804 0.618224545360313 11.1252032521271 9.34864277971643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 1.07759577628776 1.05734591932466 21.5479260199148 18.4090216951413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 1.84145068970959 1.8301316938023 45.4848373132678 35.5017247800814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 4.23179514765787 4.20603956908411 158.426438582705 91.8710525298772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 6.05614188991968 6.02453260221524 279.892826956959 142.417496684133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 1.4647623526109 1.44614376253772 32.3280385531496 25.9011906001935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 2.52074384838393 2.49440496563144 70.1628826389647 46.9772076747225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 4.2713890482115 4.26080534006339 155.560534928555 92.5528656925013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 9.02983503148983 8.90253210067274 537.713792224059 223.648356851446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 12.1167334287984 11.9083306464481 882.474186968788 323.104054076748 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax RusinkiewiczEstimator 0.166934313502426 0.157415051427357 0.0685124325171268 0.105346375605327 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.166775784775201 0.157535276132742 0.0683844092630514 0.105474227661563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.166727382561517 0.157824150571606 0.0684246811440031 0.105737409144601 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.167211635640809 0.158879719196435 0.0692002956149827 0.106662102147322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.180191164214451 0.170399981333668 0.105435025994936 0.118973307793462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.195847306433406 0.187238577962979 0.131079534056092 0.133824650028877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.168259728429085 0.158575082590726 0.0697371619043763 0.107483319691948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.171752886761768 0.161536987078299 0.072296244748093 0.112418593263571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.182336195571596 0.17188051419254 0.0810511760365223 0.12675204046169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.247972761814705 0.244893323701234 0.155294458824706 0.214193242419557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.331664191865949 0.336633933499166 0.304856931290253 0.340357080478187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax RusinkiewiczEstimator 0.175050359706132 0.133846913120786 0.217757344086402 0.088408426107319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.17534889080189 0.134162613533695 0.217305262969139 0.0885856074308465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.176028026426329 0.134805164557229 0.217043759912442 0.0889239762318664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.178036483892199 0.136929277200024 0.21695090414633 0.0900495531184777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.192242794704487 0.151919653769087 0.221755230714243 0.0993821348565032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.211380262152165 0.171773332980581 0.233821268392946 0.114983591812009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.176575158874802 0.135357262736763 0.221661578454818 0.0890682409176134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.180472203605196 0.139811168729198 0.227086515051298 0.0911851945234894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.192758746581039 0.154593670360185 0.241339731524275 0.0992113495434261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.266783049108039 0.238601474860884 0.35212217110028 0.171554959877528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.360277577499695 0.341388126275531 0.59886230896845 0.329839287679719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax RusinkiewiczEstimator 0.179378222828032 0.183035499400903 0.0716300876584697 0.107509354298598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.179707223502731 0.182949679697415 0.0718774561622179 0.107401231725121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.180276180068528 0.182968721434258 0.0723304424494104 0.10741607493605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.182180296795724 0.183482871335662 0.0738842527701643 0.107881413540699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.195446424903565 0.190996128007924 0.0872350217008939 0.114689692975983 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.215964095074562 0.207665528563115 0.111277241592837 0.133827065415388 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.180222839920649 0.1835024807577 0.0725250883450367 0.107723861435398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.182991640178935 0.185257132246554 0.0752253288695882 0.109196053627531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.193135722181001 0.19314437942663 0.0854845005302872 0.11601530388517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.27031958327067 0.268110786462932 0.192637252558441 0.201353727130873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.374296638229558 0.370079240741949 0.417760816522989 0.359786361761762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax RusinkiewiczEstimator 0.0458017497088437 0.0450441601318957 0.00656918846595508 0.00643918758753299 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0460160584655162 0.0451583836457358 0.0066619133526052 0.00648464438058353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0467141625613675 0.0457508554983061 0.00689518782287434 0.00664788237133635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.049594548318277 0.0485402643457168 0.00780076177568253 0.00733912627069807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.074273369660517 0.071350499427569 0.0175967661513616 0.0142647289069669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.106575889923691 0.102456416554506 0.0372796262089059 0.0273004575729049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0487922396986561 0.0480145104800311 0.00719581349456741 0.00713167445968499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0560260658569083 0.0557785363004912 0.00937711072558194 0.0092189379707913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0783136270851157 0.0784979826684722 0.0187424047290211 0.0172759485650584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.191211835396878 0.202091508993874 0.131620161752693 0.0980494831204364 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.321650244274122 0.341972668323615 0.40441492602256 0.255864791177579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax RusinkiewiczEstimator 0.0763591844440681 0.0694056764460323 0.0249978804397678 0.020532550559424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0763530415535861 0.0698105232263084 0.0249942189382856 0.0206826823520511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0768902544006214 0.0707565905681356 0.025140574174266 0.0209650366431254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0790168879763016 0.073869364309356 0.0257977814628213 0.0218825010107918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.096381762491478 0.0948454744209044 0.0328199199706077 0.0295121124255303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.119406330397211 0.120841624787858 0.0462241860390162 0.0426331421476191 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0783824123921832 0.0720527503270936 0.0255674100932639 0.0211802025001758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0832416924440392 0.078500831272781 0.0272135558635588 0.0230251809270342 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0974446244146874 0.0958361660772018 0.0333735470422142 0.0295725634214214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.179142101425882 0.183687334353462 0.0986272522171446 0.087506359283758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.27813807064304 0.281231812022533 0.246105368996263 0.188415999842763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax RusinkiewiczEstimator 0.34066967416283 0.43194038534205 0.608884342371637 1.07880822823676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.340516240032499 0.432094519747518 0.608662781720225 1.07880552185292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.340532572455458 0.432497267290625 0.608772946388163 1.07935220359116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.341053065241156 0.433380606613361 0.609750861100492 1.08026432627746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.348733013894483 0.443244747287058 0.624029327131025 1.0937946148484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.364700570484745 0.461651967930929 0.66123174982996 1.12665309946593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.342129407062981 0.432837756190734 0.612651387229285 1.07982857822341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.345339086284132 0.435517158400005 0.620206245242677 1.08410944363604 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.355287321314013 0.445829039777131 0.6453034478945 1.09964112923156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.424357789390389 0.522797270873538 0.830633846654502 1.27760988140199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.513876782939039 0.612129550592428 1.10048286418024 1.46751640097379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax RusinkiewiczEstimator 0.0166908542329971 0.0159959206290705 0.000882446462889818 0.000966562699126502 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0171453815194713 0.017411979516029 0.000941216277686827 0.00111956348954493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0188374043634585 0.0200093075923689 0.00115542267282391 0.00141212170659809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0252896686240218 0.0269758760113861 0.0021093063535932 0.00239153194372961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.061465223189382 0.0620865294103129 0.013228466926387 0.0101075489727269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.100600111292534 0.0999364623572447 0.0381307501120856 0.0232764904934524 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0231057303562866 0.0241470933442353 0.00165401240741179 0.00207083888303794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0357929606590991 0.038021496123883 0.00413859691667167 0.00454038059601831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0653062949443399 0.0700241402507395 0.0149809148821662 0.0133506143460408 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.195847150163508 0.205964122985552 0.161436064117941 0.0914932725770631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.334203210172282 0.353433323251097 0.506095859660801 0.243256666673648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax RusinkiewiczEstimator 0.318701869772265 0.272565961207348 0.601367513110415 0.344484250793873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.318822857193901 0.272198442565343 0.601492215246751 0.344295375301439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.319076358665503 0.271965237763504 0.601799740912541 0.344250344900446 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.319979020422739 0.271857669178634 0.602962589665498 0.344569039668329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.329466837214928 0.277131366941768 0.615392589537883 0.351709901324855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.345805284698708 0.289866112991844 0.639015456016287 0.367432888452351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.319643405973235 0.273362183161752 0.603389859880749 0.345576612878105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.322477381240427 0.275815051825689 0.60848630225441 0.348249463309597 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.331675470333086 0.283118621984108 0.624941527688757 0.356042990608119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.398764656733418 0.345583434911954 0.755067428626401 0.444597023698293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.488888280139312 0.430899546616704 0.976622799864955 0.581881973605943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax RusinkiewiczEstimator 0.28027147820867 0.290800710360902 0.285560711138549 0.300963255767405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.280298044918482 0.290946018834037 0.285584872732742 0.301109152298978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.280438937611138 0.291220879117947 0.28576080687233 0.301434292346558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.281057369320386 0.292282121840147 0.286421643676671 0.302556362578329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.287275925207608 0.302178609744335 0.295173489268823 0.315882215241026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.298172972645666 0.318087134357073 0.312309642124516 0.340737129481402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.281400152680485 0.29155295895179 0.286798637713412 0.30260217871547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.28351935793052 0.293576997404101 0.289589265194069 0.305937318376399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.290861427163547 0.30089558990617 0.29974354039145 0.316960377992832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.347161966677769 0.361605310376761 0.395888365466253 0.413261373810403 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.431042695416938 0.447084728128531 0.6043988701403 0.57265524593575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax RusinkiewiczEstimator 0.0127817857815129 0.0127831810846574 0.000492531761303064 0.000831673059924355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0136378300307456 0.0135089134735941 0.000543768476295483 0.000898352306157284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0155597630937031 0.0154053792139481 0.000685298922676367 0.00106583529685857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0209533582966484 0.020871317263319 0.00126655330357317 0.00165015291186746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.0478957951842383 0.0482093632789054 0.0084779492088004 0.00685350893513461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.0773202540867766 0.0783069648666385 0.0258354682886881 0.0164463958470019 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0184645517693976 0.0176613244437115 0.000911746541506435 0.0012369597527761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0286282270880031 0.0276327015160026 0.00231703271553634 0.00250976770221226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.0514579665100517 0.0510923305470682 0.00847520697442809 0.0073972539879081 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.150050775571355 0.153207071807382 0.0910387977779115 0.0539661862348838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.257095126015607 0.261980960951742 0.289730640575467 0.141644186782417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax RusinkiewiczEstimator 0.0842895646671374 0.0873305828632677 0.0248201007183492 0.028402549529877 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0857128742944336 0.0887773286984281 0.0254287793987917 0.0290829562821668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0893052130133778 0.0925055029515568 0.0270704438801877 0.0307561896764003 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.101916826091598 0.105048212008082 0.0335195407689786 0.0368681654523924 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.180216208623631 0.184186297679035 0.101070852854875 0.0925726245891996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.272667125615469 0.279224951494739 0.242270442575055 0.19240640733537 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0949358765826403 0.0990170514663971 0.0297127527278799 0.0335370674766621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.119859659063234 0.125151105137499 0.0449347447538609 0.0478993851869094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.186515081172513 0.192889628795568 0.108827705153582 0.100118645477195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.502882114458026 0.510163346473692 0.914956807701536 0.558360009750781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.846901828028266 0.85359849216742 2.83115941489889 1.37394657381712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax RusinkiewiczEstimator 0.0723551494911579 0.0684809283781584 0.0331337138136319 0.0301616359712017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.074161506833877 0.0704447778794172 0.0338062654014118 0.0304463214052878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0789358448581223 0.0759129545099498 0.0355365397780204 0.0317739168032024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.092953337424595 0.0920345495056907 0.0417069114944171 0.0370503130257041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.169844859096764 0.178497812463863 0.10237792329216 0.0880732532402489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.258002854777767 0.274854582114431 0.227428126462135 0.180806164338949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0891886250585289 0.0874945139293056 0.038977099933413 0.0364650575594035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.1185694805999 0.119908187412452 0.0552350346504357 0.0521135688715906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.187693340390723 0.194671874890581 0.1197268878142 0.107341453991838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.5002776083488 0.519656102944516 0.900984411915618 0.57761945178969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.843218642984631 0.867207171054992 2.74257073493438 1.39337355511756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax RusinkiewiczEstimator 0.0657818395840977 0.0696796943912248 0.0211007772953911 0.022003569038717 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.068329152219784 0.0717945289343113 0.021737306568458 0.0226159715803134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0739118922704931 0.0769623784176296 0.023442150497728 0.0241604642014452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0895513225717247 0.0919643938499234 0.0296734692726916 0.0296205871345061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.171151127041055 0.174310295730434 0.0922893345373458 0.0792887132665116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.262762842389918 0.266862897173457 0.221659970933621 0.168031395952305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0821698346078711 0.0857477061020804 0.0268596327399269 0.0272154651839583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.111952042996158 0.114898248706979 0.0426802076728459 0.0404875642375918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.181694428929368 0.183687036506449 0.105468676851785 0.0878734227214088 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.492775482981125 0.496475606756461 0.853276981749104 0.510166234092496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.830788583550326 0.835555010445272 2.60371029557672 1.26261418850882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax RusinkiewiczEstimator 0.0953013737216413 0.0921653277885029 0.0298258435976747 0.0257213912169913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0967898401619751 0.0938282230620885 0.0304766165006123 0.0266009471853263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.100538777897326 0.0979617512108819 0.0324273304733474 0.0286067963498418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.11365455533733 0.111292267110185 0.0402927051649266 0.035678277016806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.202381763495263 0.197417113498033 0.129003240834906 0.100308023233314 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.310130469424843 0.300332284881401 0.321352738440808 0.213996234486076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.108604181540865 0.105141199783416 0.0372171598371834 0.0324386812603377 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.138823146145596 0.133379006874163 0.0595576537488256 0.0495147229200816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.217123182899189 0.208583112811634 0.152353687071765 0.110908423648517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.589562278803846 0.574157026894344 1.30409478160982 0.674853915515111 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.997453931230321 0.976536172132778 4.01498220084505 1.74670377136426 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax RusinkiewiczEstimator 0.130799988310695 0.148794260287756 0.0860721586145267 0.099718236738488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.132496896391083 0.150521782709422 0.0872266589209598 0.10088568783312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.136384191932565 0.154666090919307 0.0897537133701888 0.103584789296923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.147833021436209 0.166838084563816 0.0983728642630038 0.111141638842661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.215176098564739 0.238103864233469 0.178378650977965 0.170824658853543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.296345696238453 0.325831261942905 0.310670304491725 0.282343644057335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.141906157857609 0.163348159890756 0.0918784620905363 0.111931513671935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.164455443180234 0.189156143328216 0.112677760122604 0.133395510246585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.22307419474813 0.254103604258736 0.187321659138739 0.201197363538034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.51630892725196 0.566045352755704 0.944514342399345 0.774432182424658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.843452707008439 0.901483914756334 2.60647422781775 1.73175156540875 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax RusinkiewiczEstimator 0.0509630304711529 0.0496612607764746 0.00819950328557228 0.00817370242116699 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0525450699691114 0.0511205653403934 0.00865196285986187 0.00850603362125617 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0570785715455139 0.0553845122100945 0.0101016845789606 0.00966338563351728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0720359208933179 0.0697841939279509 0.0160950190834748 0.014324817945395 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.159687554545648 0.155070342272286 0.0868288141050859 0.0603402483157268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.258975556858495 0.251178622386121 0.24570524304785 0.144761757956788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0660229839910855 0.06585588593459 0.0135841617356209 0.0133602147185315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.098010403370417 0.0978568526596043 0.0307909460749789 0.0273897743883901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.175353696365706 0.173804193773315 0.106063224445617 0.0784326736667337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.520053456697975 0.514945062026377 1.10943579170688 0.557070347916482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.890480319499148 0.882632436930826 3.47713445955602 1.47847688315751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax RusinkiewiczEstimator 0.0301660190976449 0.035054995070891 0.00425332823107571 0.00475251966680041 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0345120808514788 0.039895476951905 0.00510870500920557 0.00564589650349662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0435192474412474 0.050426117532764 0.00742683682180969 0.00808729119215822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.067757242073746 0.0782871118168286 0.0168352371026404 0.0171173301514994 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.186124887854245 0.206053735099466 0.133901046795671 0.0966450909340301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.315220128949262 0.339968357735801 0.409700678095581 0.23725394644859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0592434447206999 0.06621888546825 0.0135362252335833 0.013107327165454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.104928333431545 0.115650564858228 0.0426253452891531 0.0356896508176954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.204296007727944 0.221283078816277 0.171856502672863 0.113854245329733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.646933425331911 0.678104378804962 1.8959941522349 0.816343082551139 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.12156351560583 1.15778376648182 5.8051894424191 2.12185542156716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax RusinkiewiczEstimator 0.022506081704076 0.0239618423932081 0.00219252270406424 0.00270594154313413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0263661973355495 0.0284346643383037 0.00267725482339561 0.00325257059109555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.034216028224152 0.037233257989182 0.0039583379046386 0.00467229231410204 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0540046127012655 0.0595880072158806 0.00894209029049504 0.00997565905842663 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.144674431819244 0.159502569219889 0.0655298822346591 0.0587825448855542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.239296413047417 0.260103504398805 0.191830004010954 0.140423170266294 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0476268865326629 0.052590661261066 0.00710405053125809 0.00808381105946363 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.0842469470335114 0.0945784699802319 0.0218991659756646 0.023103639545093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.162578724727288 0.182726354145721 0.0854322060967125 0.0770961414670263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.502706612943903 0.547975570767727 0.954004204777052 0.52670180238859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.884155576849588 0.935337268527733 3.12613751483796 1.32239944935538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax RusinkiewiczEstimator 0.166861279194389 0.165350623799812 0.151065722922391 0.126061101265952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.167467761935787 0.166290299886889 0.151619428825975 0.126594317704989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.169906314049544 0.168748231247821 0.153492767762697 0.128093804102557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.178884866270767 0.177447186483791 0.160754033336209 0.133931180028209 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.244455191891695 0.239807549659242 0.265702346265319 0.196904166773107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.32444487511083 0.316264568181149 0.363531482194441 0.287366969634212 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.176637164519411 0.174328236428345 0.158715014462322 0.134788234277319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.198180630179561 0.194331193612923 0.17925508819236 0.155492613437976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.257633890991446 0.249698787514245 0.273040518441237 0.222418638028573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.550037634650025 0.526120286231551 1.03346808066641 0.733973110843319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 0.869206559267321 0.831270388853026 2.60892309115705 1.58852282281144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax RusinkiewiczEstimator 0.0103068739873617 0.0144081029358063 0.000488240825372901 0.000830198797986874 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.018918548253633 0.0228090422349057 0.00129785279240645 0.00162212137376978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.0329945774883313 0.0373762616186206 0.00397950388033517 0.00384874460160711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.0637311159533867 0.0695456501859591 0.0159572255625529 0.011564617202523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.203094224823997 0.209645592198128 0.183291976900634 0.0828584549227186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.353600572967718 0.357575740310972 0.57575800695391 0.218144490667765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.0515500168234822 0.0593600244211162 0.0101819928258005 0.00902852455522093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.103566336006747 0.116481057523905 0.0443028333504625 0.0310301845471539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.218269048162837 0.237044059476545 0.209253838316373 0.113463206851557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 0.716912697622512 0.747846225918254 2.37852687062262 0.954423321494945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 1.23502875973323 1.27636040905447 7.12443915391481 2.63431628878595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax RusinkiewiczEstimator 0.0736191628685412 0.0723310482160796 0.0166382589752377 0.0153857837137054 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0901891844033045 0.0909589884518763 0.0239192221625951 0.022483842069415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.125079015007302 0.128498700220363 0.0456859576635649 0.0428176140034868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.212225768898824 0.219525543755321 0.137212661424713 0.119607013504255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.601103984491941 0.615614926901443 1.27911597369077 0.817474058662737 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.0139073712457 1.03032095789113 3.9725506377875 2.06002331259861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.17817777438892 0.184065025897295 0.0961289633683192 0.0870476997451755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.3328226159432 0.340116373011961 0.361196939460623 0.278526129548824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.660257368272225 0.665161693540378 1.58442035638152 0.950815972087709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.08669504223123 2.07264437250307 18.6726877764541 7.1827503089254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.62921688446602 3.59856857365594 58.9821215383127 19.335095456367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax RusinkiewiczEstimator 0.157492269977068 0.14411754553836 0.0967279171132362 0.0776561334718664 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.170657931960061 0.156848207200934 0.106468279427534 0.08444547658428 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.198411962602088 0.184563604858129 0.132369413993168 0.103137529112015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.274079886100721 0.256927231220722 0.231295786357526 0.172247382916015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.649463174779075 0.607141933845776 1.32722411628258 0.815388350795336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.05272638277486 0.99011500939259 3.75198368414752 1.96864391888834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.244212191026525 0.228544390628049 0.187920230961788 0.142817344333725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.38668327872865 0.363034238315209 0.453848731761114 0.319294711178632 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.700929909578345 0.660859911951981 1.57982504194132 0.953732265843424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.06374125737112 1.99680833657568 16.2792714702612 6.78437930570014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.53683266200083 3.46392613537421 50.9998464974648 17.7997805918013 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax RusinkiewiczEstimator 0.0276463320337661 0.00817368651405248 0.00201335923104024 9.09484825432784E-05 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0577895488566844 0.0400094524247827 0.00951055002314105 0.00344823669752338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.104691885015811 0.0792558293230024 0.0326308429076802 0.0132485988657308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.196799945429372 0.163355018418681 0.126304573446179 0.0508385717941972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.567907877608317 0.565348215520274 1.2901019789864 0.468781176128951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 0.97891688422378 0.994723818988084 3.98445052488186 1.31763626632118 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.163351937408358 0.129339373436175 0.0839328719359129 0.0334120178662379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.317836250872931 0.270932596027221 0.357966744265821 0.122068543228168 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.642409363246714 0.589119505311344 1.62913790983268 0.465437836332761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.07421228523865 1.97337122095075 18.0783260765717 4.26925344311353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.56371518095765 3.42286152409586 54.5012596693984 12.3759772371402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax RusinkiewiczEstimator 0.142102777688254 0.0706009128876248 0.0540132642788795 0.0123984738405556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.161367271687573 0.0869871178169207 0.0679017991072298 0.0188793190168672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.203643884009895 0.122947671308595 0.109296483328062 0.0378014030831486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.310270672561113 0.212698773212389 0.269137829113983 0.110899487342949 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.79019648584217 0.615183047847986 2.08540299480393 0.851906651643777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.30050678668234 1.06501008313177 6.22876427880441 2.36436948063507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.266942676567761 0.179202708735931 0.205344846423555 0.0834644477616092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.449278078595746 0.334869416501912 0.620379248820128 0.276065245607199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.835462845500114 0.678118331088164 2.39167061645281 1.04885980521608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.49033147856733 2.25416764846817 25.7219272415807 9.57630035494289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.23347219952975 3.97106427137965 78.7451862663762 26.5517193807963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax RusinkiewiczEstimator 0.13262871803108 0.139001523282953 0.0683664599834653 0.0710433731738264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.146178343401626 0.156426340153215 0.0760730765199053 0.0813733358017049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.172816692064604 0.19041560792559 0.0977554332813433 0.108678644250379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.244451485844526 0.278118413125732 0.183964984740887 0.210771381687788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.609486505190467 0.690388157609927 1.21494855905299 1.14482991976237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.01384726970757 1.11409352171358 3.62496428846134 2.71095601691148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.219503828191102 0.244975007211711 0.150488841693419 0.166504918065785 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.357434475150438 0.406160831634886 0.397480540623423 0.425271945379071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.669167411234136 0.747249490407425 1.49189331817028 1.3176977036487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.07976752417363 2.16587396795612 17.0598931862257 8.67996566372971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.62964606850276 3.68304834766044 55.2567232091619 22.0649820804124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax RusinkiewiczEstimator 0.046082142555783 0.0452953237829855 0.00894777811965307 0.00785794563176815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.0699315311183547 0.0703043817084224 0.0172753172931288 0.0151325827062539 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.111154772928471 0.114236727636404 0.0422369566765207 0.0353566013188335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.204259934313622 0.213101211397801 0.148549118520181 0.109935342388472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.613152600027863 0.640546161435281 1.5427081057026 0.820351712204237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.05165302376491 1.09062880655161 4.80216663036103 2.17434140664223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.169392811163394 0.168487839844514 0.103886139819001 0.07324411069452 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.330333648181886 0.328773462475161 0.427865904479929 0.249651521400497 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.671436859895912 0.668834331686605 1.93505501829112 0.91428924975176 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.14595372677789 2.13507050802151 21.5272865117009 7.69017745118535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.69164228858056 3.67317934050623 64.6193635532473 21.1775194143681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax RusinkiewiczEstimator 0.0846067296451772 0.0883900189554669 0.0357134253158441 0.0392946454808391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.103258116052223 0.110708871137604 0.0433302049467014 0.0480542331588431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.137220198320241 0.150729803657901 0.0645923194187212 0.0712233976120584 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.219095834417587 0.24349653094575 0.149851907269829 0.155528516162221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.595963018017059 0.646673516858759 1.18999691410991 0.902196867679001 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.00351232548904 1.0650209094641 3.62118608743979 2.17785422922873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.189913039970153 0.208344935462513 0.114429787991606 0.118205991936818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.335227051920545 0.367842177989858 0.355179779493937 0.325171955906551 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.650271943314104 0.699539974020698 1.43807592555826 1.04053271578371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.04661139814122 2.11668457095006 16.4181453943274 7.28001002940107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.56226302818925 3.6347363500068 52.1067024077639 18.9973486200525 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax RusinkiewiczEstimator 0.112445188588106 0.0935099544095115 0.0404934458183173 0.0310536937368533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.126876166321899 0.10902005678077 0.0495549298023929 0.038375202668022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.157795156229064 0.14154667109543 0.0749920505248804 0.058153381411238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.241566445766569 0.226326126249718 0.180962562232359 0.132132714281094 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.647932741140007 0.627625596598371 1.50875296562405 0.826798584455333 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.0842877415523 1.05941517978162 4.5699975042133 2.09659250741226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.206613626523971 0.192075300638479 0.130344907187583 0.0982481811509506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.360356339094613 0.343285498485646 0.426254304271528 0.282176538127049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.698572794416892 0.673604854306262 1.78315353328728 0.953597327261496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.17624203633047 2.13959301410363 20.0115204367768 7.50374732804122 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.74552895121012 3.7214761294772 61.6449786403499 20.4747228538639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax RusinkiewiczEstimator 0.139584103182322 0.139197347345272 0.0907309997563003 0.0824491558202751 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.157291330844807 0.154350601285836 0.268416773773167 0.0968021248574563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.188753838584126 0.185813321987477 0.584195287593895 0.15554258125429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.26395683700827 0.264398694659374 0.666622549895133 0.222275071119347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.625355151838907 0.637234041583615 1.61860116140879 0.973266197543543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.01326332709155 1.03310315906234 3.81194146968213 2.28807471418487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.230127512898457 0.233183731124998 0.607515608023686 0.204480066148245 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.365822140293936 0.37799826732411 0.796003436831602 0.410220348055238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.666438631308785 0.69316785261582 1.7718826154971 1.15822813465522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.0003078282299 2.04299780535869 15.6432434669171 7.69167670308421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 3.45808586797001 3.49388990645007 49.1334408382365 19.7400602480865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax RusinkiewiczEstimator 0.156216881979718 0.0658984618557603 0.0650952538619908 0.0114840120214533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax RusinkiewiczEstimator 0.171121120747599 0.0792894924344636 0.0792246304228119 0.0162926435414619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax RusinkiewiczEstimator 0.217927844425401 0.110982480016621 0.131909946037362 0.0321251907252958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax RusinkiewiczEstimator 0.341920360575184 0.192649206596834 0.35440385706475 0.0952090692223185 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax RusinkiewiczEstimator 0.90528097307323 0.577108321405408 3.00426675465528 0.72889139646495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax RusinkiewiczEstimator 1.48164124912194 1.0205503488449 8.89879283653858 2.02915292877916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax RusinkiewiczEstimator 0.290221344744106 0.166836835563411 0.226605656938589 0.0699132819527719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax RusinkiewiczEstimator 0.499975259535622 0.316663258409992 0.728504007914431 0.240457357754558 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax RusinkiewiczEstimator 0.921124986891311 0.663944981937564 2.85503099809902 0.961806816011526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax RusinkiewiczEstimator 2.67841629677525 2.38217956913808 30.1068733154877 9.91235580691984 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax RusinkiewiczEstimator 4.55399697252023 4.30152872683327 92.1020298476794 29.2229290237002 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 NormalsMax ZhihongEstimator 0.00480914546977202 0.00281957287118257 5.68546961572061E-05 1.54404072689691E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00859056100143915 0.00529652298155178 0.000148513333956305 5.82818387397324E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0134719820582501 0.00943755414623414 0.000452576154731086 0.000190277745255678 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.024940825636994 0.0194324594153427 0.00199473203087237 0.000715925136604168 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.086011892459046 0.0807993368813455 0.0313947787737315 0.00656058194229738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.166041276447499 0.165750493218155 0.122257856478963 0.0187603626770511 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0217923667659501 0.0165218146730905 0.00140943227068898 0.000483397351411077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0435180519469807 0.0372764007146934 0.0070762532844685 0.00185637778970664 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.100619664135702 0.0957166146426248 0.0432966905894312 0.00789988384143452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.407586059707676 0.418012306836151 0.736035411796011 0.08001131331331 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.733561510293423 0.761573702901201 2.35698323724141 0.221775969819871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 NormalsMax ZhihongEstimator 0.00290039306559227 0.00604641475829451 2.46602496059055E-05 0.000207275231123236 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00686415798301208 0.00897254506602237 0.00012356706946144 0.000329630272888993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0124645243184141 0.0136129788425922 0.000437786219374096 0.000633828491565582 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0241861312796589 0.0244725195117862 0.00179287237668279 0.00173021326825024 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0742751896403343 0.0727685893344833 0.0199836913882734 0.011220934125134 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.129587722879709 0.128093180311416 0.0676254793058678 0.0271653357974469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0217517942551933 0.0222396276671503 0.00135534653528046 0.00149996965420641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0432146187971183 0.0433221454749375 0.00582375154249411 0.00488837484173539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0871367707167746 0.0904434859086725 0.0270579570811633 0.0172075412888586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.308803594822402 0.324849220491798 0.416272954109607 0.126938635536291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.583852244784504 0.596445650630973 1.5281432581074 0.328814298211631 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 NormalsMax ZhihongEstimator 0.0120588348682121 0.000834827235019254 0.000491064090356517 4.24999834150633E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0133264620929433 0.00414127502250259 0.000557133400267308 3.26646936015321E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0161462155605606 0.00830856451063389 0.000760568443441946 0.000128783211184975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0239977917916519 0.0174138727324651 0.00172203331966183 0.000481203753907799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0728088426702287 0.0654270895599119 0.0195726331079402 0.00383037563998906 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.136078999768129 0.129512615163572 0.0743578742166124 0.010553758349342 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0203271006208357 0.0135862035696378 0.00117985616782745 0.000333218253145314 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0351373084190071 0.0294598207247182 0.00400480370970229 0.00120491510072411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0752044222774082 0.0691311865045113 0.0217776562679189 0.00447687803417442 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.307283785229662 0.310928850315494 0.411052805494822 0.0466652706407921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.576998611985968 0.605277110955012 1.45432925103868 0.145662455406167 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 NormalsMax ZhihongEstimator 0.00581795727735442 0.00554581109676997 0.000110532317021254 0.00014579171866334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00829224474511289 0.0086810378733889 0.000193041982814332 0.000289646014499575 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0129118382747688 0.0141314046169835 0.000452785557634164 0.00067712073667782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0231238797566178 0.0264100179565909 0.00156848112615768 0.00211297581299337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.069555325221241 0.0784637812744045 0.0167461339384826 0.0147848733776565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.12320627961748 0.134371809235181 0.0573083252121071 0.0350087700053985 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0194889178777683 0.0209465136573001 0.00107715257184347 0.0012986614736921 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0372624532709772 0.0404844425649777 0.00444158281012634 0.00436483393634899 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0764166409136197 0.0830354535716932 0.0215063609019607 0.0150686401785295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.294743550797469 0.300685805356554 0.375653426359306 0.098822148362685 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.574596162658143 0.556965897100245 1.4525057872947 0.232280787232067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 NormalsMax ZhihongEstimator 0.00781531573000593 0.00216293891156133 0.000187291807721669 7.70768634505664E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00989462108768312 0.00756683607318092 0.000260796796607386 0.000137290828851033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0137547549952231 0.0144926636022022 0.000486759465312604 0.000533536900100577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0229820301089019 0.0287751348909107 0.00148474660172493 0.00208385615721202 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0665760675519669 0.0869296095241597 0.0159654867282544 0.0162441402637938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.120001376508406 0.147402440698393 0.0579759140136934 0.0388616787499207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0180782386176735 0.0223282356086839 0.000917396930072135 0.00126337544869924 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0329753793342125 0.0447571498871423 0.00348370671415092 0.00477903939679278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0680702233887968 0.0911140115986715 0.0171331859828891 0.0168435894248948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.273446789734586 0.309053623827231 0.331895507857483 0.106793314862312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.551721432353655 0.56678182724119 1.36113074544204 0.254263634715964 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 NormalsMax ZhihongEstimator 0.00415205685247078 0.00183354585237395 5.43668341149757E-05 1.34011582254876E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00622888704988789 0.00586492322614906 9.84572785142061E-05 0.000100986574771255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.00968324654747654 0.0112326347536699 0.000237450574276601 0.000349971370207128 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0173276232341744 0.0224116616688311 0.000852218592562754 0.0012955967927025 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0524121249030305 0.0701279876270553 0.00994657436976098 0.010000416125244 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.0954735874518227 0.124495028282495 0.0371765566847016 0.0250594228743305 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0145124849013384 0.019413833828775 0.000573636527718975 0.00106110022536815 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0286844385307853 0.0385871404523527 0.00256119802956397 0.00387402463384909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0615068132413794 0.0789889312607296 0.0137292185151379 0.0135039322122278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.254313049260973 0.272415327139295 0.280214022741029 0.0865739204509254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.500925927518625 0.516040681932856 1.10975803601109 0.211906991040264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 NormalsMax ZhihongEstimator 0.00122786587082935 0.00535540585364088 7.39584708500985E-06 0.000157545762510496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0063233812393067 0.00747867687212496 0.000128995204653034 0.000232150819588339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0124659978030832 0.0110082240836454 0.000483589075821983 0.000413712898982157 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0248872287186466 0.0194194970201765 0.00194963757541909 0.00105222036840328 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0757878579043784 0.0596755453683844 0.0203497506786778 0.00663528746126761 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.131877604801643 0.110177856147891 0.0678945547053608 0.0169528428454945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0207433340693473 0.0165562615130583 0.00133273287617362 0.000834513058765581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0417639931254379 0.0316976129625858 0.00562506048632082 0.00250311983374868 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0853305364221806 0.0653904685094139 0.0257316108151042 0.00808924813985739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.295250635394864 0.261508160886111 0.371524891488936 0.059437552490347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.549062880229134 0.522440539197643 1.33157343543871 0.162869547765489 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 NormalsMax ZhihongEstimator 0.00271043155097295 0.00362086827950348 2.07940184977782E-05 6.90800456864194E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00652129632001986 0.00633647588884767 0.000116816890337591 0.000150444208864361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0120972824256179 0.0106056194467309 0.000422963718859513 0.000359080387898948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0237502496112333 0.0200762035840316 0.00172822773171718 0.00111389771024811 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0724036194988119 0.0632229121985806 0.0184418758943712 0.00795452958503604 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.125593491412698 0.113602451300442 0.0608631604404152 0.0200118088448099 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0189132841423873 0.0168699425967169 0.00107862319115992 0.000787423470363696 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0376231330623377 0.0331069703095091 0.00464875102447816 0.00260261669180034 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0777846530243154 0.068606536450957 0.0220921902284867 0.00871768604767205 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.289580329620595 0.268258210610298 0.358583372791186 0.0632268769978179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.558666652278051 0.53532921026698 1.37192422635263 0.174956899185105 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 NormalsMax ZhihongEstimator 0.00560868434735677 0.00624088415823972 0.000103101064491214 0.000195085685319995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00856939874966386 0.00917768927434499 0.000194618363797701 0.000331551597688914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0133489184484861 0.0144460749051096 0.000472474722408564 0.000695809962345601 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0240350936722479 0.0265613199745528 0.00166859780272881 0.00203085525550382 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.072010821994909 0.0808300333798187 0.0179066348226226 0.0141185234664527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.126322417745635 0.142462575514124 0.0611543456406499 0.0345387407133216 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0205193610800589 0.0215993078808423 0.00126737645259719 0.00139473087293523 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0406182405698017 0.0421547786480506 0.00538744215765302 0.00460295468049873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0841836389349 0.0871834594582802 0.0259071438762059 0.0157632318792583 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.308582372444416 0.318499094449863 0.417418210269007 0.110736267201428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.581812198172648 0.591207402331542 1.53837694256935 0.282850927180801 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 NormalsMax ZhihongEstimator 0.00789281875569964 0.0020983352755255 0.000134160269597437 4.9086064725803E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0104552738092083 0.00570227376428892 0.000220823209997889 5.84812729864262E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0146574471117126 0.0105992217819953 0.000497713866489822 0.000224916060276341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0252070619370703 0.0208066756285169 0.00179584499682011 0.00084127477841834 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0786146697053628 0.0675667773438163 0.0227648996816361 0.00614924682746214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.142547012861593 0.127068291263892 0.0819091924260922 0.0158896542120435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0199270764864237 0.0154571786456318 0.00103071007723124 0.000451763258519093 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0375783828486216 0.0314682358539269 0.00451981878430297 0.00167287346232262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0795472883469896 0.0690949527838129 0.0240554907789674 0.00625115663761763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.303140151761561 0.298380623791889 0.404886845805085 0.0586776833101916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.560696910855945 0.575493304908347 1.39982361449179 0.16186423916647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 NormalsMax ZhihongEstimator 0.00286108638742548 0.00101344546594937 1.73360872559315E-05 3.15231958645425E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00608866699527712 0.00341978122304473 7.12142412114687E-05 2.46218274504192E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0105742831313709 0.00686661901195405 0.000279757593689203 8.98882228505013E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0214312254163615 0.0153526051017538 0.00145799406337873 0.000365326985956916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0791282144563589 0.0700005549558747 0.0262010596690204 0.00406181220599896 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.153828386846362 0.147119021800227 0.103260031124039 0.0125353418453435 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0164371868650353 0.0120882273626629 0.000856209846388195 0.000286235095089161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0362545768765469 0.0295453142119229 0.00517271657662871 0.00130712300642347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0873583157595414 0.0801174807816742 0.0336622946507975 0.00607600470624738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.364443547788353 0.36826672957922 0.593728783602334 0.0616813762434841 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.669806791238604 0.683215295573014 1.96571138008326 0.167125258526799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 NormalsMax ZhihongEstimator 0.00230232071877479 0.00479563753431112 1.75023936950223E-05 0.000138521758077516 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00577507146815246 0.00717487810243765 8.79808165828782E-05 0.0002198008266701 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0105668163805747 0.0110757846953449 0.00031000097993505 0.000416893532174555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0205971898615742 0.0199315901271823 0.00127251158152231 0.00110937629139257 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0641992243626817 0.0608407178646055 0.0146649537583339 0.00725112077996878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.114813654977397 0.111697279682482 0.0518535693157086 0.0183429217028055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0162207202559562 0.0161136599054606 0.000760427967245475 0.000785165734530217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0325157877581191 0.0312642016140363 0.00337537470075913 0.00243521355428885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0686314211302982 0.0656020448144656 0.0172314003938869 0.00820472870409972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.271794958280581 0.269718715262473 0.328070973953294 0.0679500608637485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.532070773088491 0.532835296183249 1.28404982664161 0.191790069366644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 NormalsMax ZhihongEstimator 0.0164565126450374 0.0024796405531771 0.00078317167589869 2.67548775958447E-06 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0175050025071684 0.00584481728583257 0.000843026183450021 5.24214117694924E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0196941518846771 0.0109484978864161 0.00102375949313308 0.000208445845996944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0260275342439715 0.0220148561212978 0.00188674929014229 0.000790365434827876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0726667426939042 0.078644405256165 0.0201479200869295 0.00620755804931271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.141667122712909 0.152114517841145 0.0832277972316145 0.0164747545876125 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0226979846529692 0.0197431868110001 0.00141886696941142 0.000732643265184847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0357947522870751 0.0407736249735834 0.00409878442495068 0.00266896543733757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0764820961093215 0.0892612010084228 0.0225729018286856 0.00930054257957054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.335422135789391 0.36003059080944 0.490521199626621 0.0716131736139022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.656329907276516 0.685507617033103 1.86958561044702 0.196312421401389 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 NormalsMax ZhihongEstimator 0.00368694300019742 0.0062225772053566 5.06637082369252E-05 0.00021087695108913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0071840739565808 0.00798409603725139 0.000129585770845713 0.00028452648228632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0120463564402453 0.0115565624687695 0.000373609421472092 0.000481281393707744 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0227129812168551 0.0199600130291791 0.00144404670169179 0.00117701526283606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0702372983427972 0.0597771278776238 0.0166422752018295 0.00738566576734234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.125647976750716 0.111748896516149 0.059317991931686 0.018917418013694 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0194829321822796 0.0164730447871527 0.00106796401417134 0.00085021538327722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0382321896408152 0.0308855939483624 0.00453331382034598 0.00247507977453923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0783089327237139 0.0651072682296027 0.0214324379866622 0.00828810425988147 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.285204064946421 0.276853326563903 0.350422734994398 0.0688821041477396 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.549339525975133 0.551459845761784 1.34278193687298 0.192994394526739 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 NormalsMax ZhihongEstimator 0.0056082944650129 0.00246493950111858 9.79928752553922E-05 3.13456819843056E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00729493312804167 0.00594502255307222 0.000150590502779444 0.000113564831564649 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0106005928253039 0.0108689125322537 0.000310662409400012 0.00033508828707264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0185774458723061 0.0211968576120123 0.00102178680504841 0.00114965192055298 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0561638142034987 0.0655536279906237 0.0116002045913698 0.00828979704715561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.104034405337948 0.117258450241907 0.0437318739274375 0.0202791570081713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0150702701845798 0.0180705562511885 0.00062156537169687 0.000854963879694677 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0284316765969619 0.0361690121418385 0.0025528894044731 0.00302372361371939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.060918656385488 0.0749968721891414 0.0135479184860202 0.0104072038804972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.259043882278822 0.277010245534496 0.290926063623694 0.0711758013974426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.516922511708151 0.532151511265581 1.18245123291436 0.183758228642794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 NormalsMax ZhihongEstimator 0.0021488200303253 0.00271180888502886 1.60239340223177E-05 4.23993407768627E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00555507330488992 0.00497585795706233 7.6074802244714E-05 9.74615796515858E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0103249063483325 0.00855974346228178 0.000275718621741069 0.000235516913589452 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0204165183751794 0.0164381178578516 0.00116575405733251 0.000730003924403926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0642081385338525 0.0527299329298311 0.0139142038110292 0.00513915597120595 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.114998172113729 0.100022365573391 0.0498872887253494 0.0134139635175565 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0159515477983149 0.0139395880658298 0.000701739410440228 0.000540562572712477 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0316247919678595 0.028108858903915 0.00312050850124017 0.00183159341365235 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0663225231409933 0.0611649342905709 0.0159235277379227 0.00649477378906443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.264863269119885 0.263921522502924 0.305184497107854 0.0571763309845915 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.525834590176 0.526437912957566 1.21476744076138 0.163168672211478 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 NormalsMax ZhihongEstimator 0.00131064870568023 0.00300827613803428 4.67790753286345E-06 4.89164908079992E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00484698947487276 0.00548564326155035 6.24185581543149E-05 0.000107915778159074 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.00937148384353884 0.00918273810457275 0.000248569276569194 0.000254491939256247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0186498940242223 0.0173933068299776 0.00106366809526571 0.000772394443543641 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0595635141679321 0.0553884147766684 0.0130192344772435 0.00519339010316702 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.110333839877413 0.10410316273467 0.0489414437470167 0.0130582758255249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0150899483348736 0.0151177240141756 0.000670161305820232 0.000646330752231703 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0307422483084774 0.0302261064956143 0.00307228697165373 0.00215038828517056 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0661118567737328 0.0657135612159679 0.0162083764288501 0.00737526111914347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.271821921692305 0.278245510179354 0.322173571133191 0.0562006557679234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.544557737566381 0.550385278697838 1.29671209458216 0.148603118018776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 NormalsMax ZhihongEstimator 0.00338558262754393 0.0022437243856341 3.13289998171063E-05 2.56738347687277E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00555673237803994 0.00600560063746286 7.45170366261041E-05 0.000113598389873149 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.00919979373549425 0.0112218137943734 0.00021799515851733 0.000348376538211453 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0173005945656631 0.0220080980415354 0.000867425637304573 0.00120437049536227 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.054224780241009 0.0668965052561595 0.0107122059195131 0.0085826474917377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.100580365355214 0.117604203093583 0.0407948498284013 0.0208359525626782 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0151692190610443 0.0158855832163022 0.000657627038131338 0.000636285688535538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0300318480267969 0.0320731115530198 0.00295513280789872 0.00223614528824766 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.063947827856878 0.0686386736426314 0.0155918558477527 0.00797801783491175 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.270728115761784 0.275170945193153 0.325261608070138 0.0673604138381628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.542509120385321 0.551538402595382 1.31911820820289 0.195453874464321 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 NormalsMax ZhihongEstimator 0.00369778552818739 0.00646591017716053 4.73668699272512E-05 0.000238178117464578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00649906518623427 0.00867557742526212 0.000116019594430539 0.000326967503571608 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0109214262443603 0.0127172856256217 0.000327860305436555 0.000555276973769833 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0204956897980818 0.0220668785683382 0.00124038385748505 0.00135994496670859 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.063671111576215 0.0654958002759534 0.0141396259387642 0.00846081971617544 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.114471496914905 0.117521420070322 0.0503660788372236 0.0209763830998588 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0172629636294123 0.017750338592661 0.000830468046620243 0.00100048373436904 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.033892062023735 0.033607624606381 0.00351610851777786 0.00294671221683883 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0696458189077317 0.0688852587919679 0.0167948729769542 0.0096857222402763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.256688302988122 0.259498005395435 0.28174051565422 0.0704530810173265 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.504564622979013 0.510958840452776 1.12260774063783 0.190444316503176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 NormalsMax ZhihongEstimator 0.00601675535051353 0.000645274708092463 8.77833956076419E-05 1.92848287226571E-07 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00829381590108432 0.00416823592925211 0.000149313750260768 3.55150769454108E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0122025705053077 0.00830445339170312 0.000349936192747712 0.000140527459757885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0216097139109949 0.0168576162450044 0.00130350032811607 0.000520398609381001 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0688161552092461 0.0580223274275494 0.0175756041652066 0.00385188300981751 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.129050863503753 0.114561527573742 0.0676644412820146 0.0103335935827794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0176282209082584 0.0127397221254383 0.000810914350734739 0.000319949772950312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0342893714792745 0.0270397220299387 0.00372053580512589 0.00118060332036163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0749076769910849 0.0640667619727275 0.0212207915976309 0.00460303387059546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.304429628605326 0.302641866072562 0.405388847049908 0.0493239655086323 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.574340497746576 0.595307185211963 1.45958268121798 0.150211963037736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 NormalsMax ZhihongEstimator 0.0140616297780151 0.00583443056121337 0.000435932326832966 9.01030840344609E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0163373420921996 0.00754071885316141 0.000638538736992912 0.000139391608579487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0218922507067449 0.0116031545463851 0.00128321635778763 0.000289159223712823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0368908902160822 0.0232748400467688 0.00439858329890765 0.000933538747599234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.119202681451603 0.104721906377838 0.059720458677477 0.0102624599433634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.219995540717724 0.21348194683936 0.215502893983849 0.0326494163775856 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0299426537157893 0.0170129891871293 0.00283992245791982 0.000597503187780256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0598041368231685 0.0397350680547223 0.013397511542947 0.00246644392495357 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.132037069549368 0.106263262708761 0.0747188446778232 0.0117197848831237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.481715380675415 0.469306520583264 1.06740077745216 0.13246008952885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.84434980514314 0.852130274513031 3.25319577059512 0.364780155243911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 NormalsMax ZhihongEstimator 0.0245870922329766 0.0255037395217295 0.00185815383646602 0.00214293804298364 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0261701457563082 0.0263981837745165 0.00211606160557749 0.00226022394724837 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0293320748428478 0.0293182166380541 0.00271950483222576 0.00268152434418482 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.039445336421152 0.0388745975563244 0.00511673892396843 0.0043455460963107 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0947917795601941 0.0951108216246308 0.035196964959192 0.0199549324694214 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.163899124985548 0.164766362003491 0.115813344186441 0.0476006097362813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0343697182439646 0.0339243691949442 0.00397302153503039 0.00359805936749283 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0537970765208382 0.0526531373995246 0.0105353658495281 0.0075748981747679 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.102825397103322 0.101214620480467 0.0423358534576167 0.021775356663223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.371312212975711 0.370108519149622 0.634758697609294 0.155242058417335 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.69609462283772 0.690443452601593 2.27388163393561 0.417255120047095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 NormalsMax ZhihongEstimator 0.0320633577758194 0.0197000637698395 0.00275043641843514 0.0010499635087451 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0333529647824879 0.0214787765459292 0.0029637522862333 0.00113766030151932 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0357951140671353 0.0260704783146258 0.00349974003668956 0.0015171069424337 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0437605307612456 0.03893244155761 0.0057632486790558 0.00299253500819635 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.103121777340604 0.114250902628523 0.0425033748172716 0.0172511728682919 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.185198132831465 0.209573476536413 0.149597680468918 0.0441212840720347 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0398089239264922 0.0372764141985791 0.00470357364573772 0.00290095609562877 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0616105137123562 0.0678804002137283 0.0135944296923617 0.00801591702989799 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.126575852146992 0.142274489778446 0.068065229769991 0.0267579564957974 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.497016434396149 0.534205163163061 1.12343743638589 0.221463778027546 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.902665019513733 0.974664614395078 3.70782775142144 0.628036793888262 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 NormalsMax ZhihongEstimator 0.031795739354349 0.0288487260231006 0.00289575124506483 0.0028809984821559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0327505117634096 0.0297470161815673 0.00314956625103294 0.00300963507434249 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0362095009160182 0.0321783339105989 0.00392838400002911 0.00339362029735351 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0480305676852449 0.0399187809005122 0.00716570585547984 0.00482982156601742 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.115842954200287 0.0890144774315483 0.0483685138716243 0.0177909067879862 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.194297874927797 0.15805125619661 0.152482690017995 0.0428666851946398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0434462873751592 0.0372437530832123 0.00573770028963723 0.00441322020702897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0675488299638089 0.0561765254227743 0.0148780782291845 0.00853580909399317 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.124579686962117 0.106002780802563 0.0574915175758627 0.023911321481634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.426582518826741 0.39772091570087 0.800835397590573 0.185055905727535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.765428160637178 0.748732441611965 2.67467412239667 0.516701243696863 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 NormalsMax ZhihongEstimator 0.0265641584239185 0.0286096059628325 0.00226569591285586 0.00235459409789709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0279812440752641 0.0299665073500254 0.00250675056343725 0.00256342311204174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0308787089503721 0.0337534923807019 0.00305968253627959 0.00318720851882652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0395724779695258 0.0452301705445176 0.00518257114360833 0.0055298226715278 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0936510105861302 0.109817492039486 0.0341066999396 0.0263155663074082 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.168203730100267 0.187573802507751 0.119197491807548 0.0628294922767371 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0359680431208388 0.0426545866921152 0.00435761699095664 0.00502879945490441 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.054819468730748 0.0682917984447717 0.0109726098561479 0.011944764209981 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.104853265669517 0.126961883732115 0.045259523951892 0.0346719083946586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.395388764387075 0.415126466616073 0.729667696260131 0.209145369626606 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.744375629951432 0.748484420619361 2.60308823285363 0.478869624824848 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 NormalsMax ZhihongEstimator 0.022891334010762 0.018920566481084 0.00154706323963807 0.00116783298626807 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0245120479857135 0.019943353587539 0.00177249243341181 0.00125153648929207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0284870875760594 0.0226895538391764 0.00240666313532509 0.00153376134261003 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0398366328135274 0.0310856369814979 0.00496925944048487 0.00262856753001118 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.099994641978002 0.0846794147314743 0.0379421225531169 0.013556210985332 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.171073510820008 0.155620829635026 0.123874860209845 0.0348327259166659 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0326172315683977 0.0278385753396476 0.00324447388035278 0.00227688228377938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0531395751141228 0.0441247748582241 0.00944581659953378 0.00512242291575188 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.101834036905306 0.0864013869627354 0.039895681988278 0.0156886699468536 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.355342150192296 0.341986410096309 0.57560097807748 0.137088149928941 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.655036611950164 0.652142391046279 1.99612987063569 0.345406758157129 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 NormalsMax ZhihongEstimator 0.0187969290509183 0.01988949306209 0.00105838098153819 0.00127917773400638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0199835206958651 0.0211758509978027 0.00120519114189922 0.00143163929346312 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0232705272151521 0.0245266929104971 0.00167121262708365 0.00185911490279913 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0338187477004186 0.0343805762249304 0.00373102336835495 0.00340437229647828 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.093880816390033 0.090106484096023 0.0354211830985166 0.0156994287077728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.171086111980869 0.161720581183372 0.128599178554155 0.0380016187782245 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0297523312916288 0.030496233160046 0.00259624688087145 0.00256686770653063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0494259967605779 0.0489313485742206 0.00772045063729292 0.00568382868501713 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0956541709116971 0.096271019059209 0.0338202466625066 0.0166843375679587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.363566222795994 0.378207671895604 0.592738452978655 0.12858582341421 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.707349069295599 0.724188835920701 2.30592574263414 0.347865105779247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 NormalsMax ZhihongEstimator 0.0218089229241149 0.0237579966110802 0.00141895450939938 0.0017367285009732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0227561734366468 0.0251163049357996 0.00159676036892952 0.00191052867196297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0250958955920466 0.0284396210004037 0.00201862806747211 0.00237443040035878 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.033147108746971 0.0383944447558103 0.00373303883876421 0.00409183651949405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0856561576144678 0.0936850646396728 0.0286204011648595 0.0192103201608038 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.155638439046037 0.161126211730612 0.101558790612969 0.0447917861915064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0291680704644261 0.0345449999447276 0.00268573875074116 0.00342124010855776 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0460271906016205 0.055781768684017 0.00727642570408934 0.00799986335035977 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.0907120631340499 0.106796645528105 0.032390818342777 0.0237743511080203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.358773199319074 0.37782176325868 0.584559611814058 0.161624181114553 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.692312435320181 0.713066043156374 2.19214515836236 0.436092297677201 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 NormalsMax ZhihongEstimator 0.0283059514958711 0.0319022079635712 0.00256385062122603 0.00346859484565153 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0295933051850279 0.0332911519789335 0.00281337033826826 0.00374117973935989 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0331161342233806 0.0364634583287557 0.00349426059022813 0.00438335553172433 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0431896129921954 0.0464641589468517 0.00611057561552705 0.00670780379976219 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.102631297303394 0.105285835848307 0.0388663973829658 0.0278246704274101 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.174279552575466 0.177085291150379 0.12272068666992 0.0648662595920853 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0390022221690758 0.0397733902550837 0.00476871541326112 0.00507142192278955 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.05968628776258 0.0592151767257124 0.0120751602321125 0.0102374727790849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.110989320133163 0.111824949390528 0.0482092589083603 0.0296291994112969 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.402022643419002 0.405598226765522 0.736436218397127 0.204339719571234 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.740314181877664 0.728930141100895 2.57858685254803 0.479214051456053 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 NormalsMax ZhihongEstimator 0.0225373991180219 0.0101817021437281 0.00143726412656726 0.00026222164686791 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0237467427129944 0.0118048466103386 0.00156403748566908 0.000316210450517279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0271960804699213 0.0156509631466989 0.00202570019623536 0.000507159146411537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0372506814815341 0.025838959017076 0.0040578941568746 0.00124538739604911 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.0966967414695789 0.0814791178560751 0.0347289399351165 0.00886707828184849 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.170034647833677 0.156818818988623 0.118171092828046 0.0250242811530096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0347696635202026 0.0238845232224703 0.00378752426602455 0.00131405048517638 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0584479278022933 0.0464459285774866 0.0124804969914235 0.00413532870368179 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.12104728195214 0.103665838478286 0.0606771816821542 0.0155227880122559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.442475506310483 0.427564155479883 0.877441551934571 0.147140219605395 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.78454547796463 0.787685784207076 2.76211838928684 0.398246326964169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 NormalsMax ZhihongEstimator 0.0688201825121502 0.0318234519913703 0.116635146860895 0.00524173641743308 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.100045784715503 0.0543111223909435 0.36986327071669 0.0272317685248993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.151902521337003 0.0960469866870884 0.855518084400816 0.101219914435959 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.270849225545615 0.198655556874562 2.69825311951726 0.405500220495318 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.842593527722219 0.658952105394645 29.691908005412 3.15598545584656 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.38912996862882 1.07669016866445 73.1821794121622 6.39407695465715 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.24362419000299 0.390932087124269 0.925260240889815 12.1249781873832 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.481006438545762 0.776446746384594 3.7402333241666 44.6926173486204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.933280661543995 1.48324670078238 11.961232284969 174.038306483145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.45403826926743 1.94423931565193 95.1534623417327 16.5532866671496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.84556954556235 2.7370160271819 104.035194179329 40.225542456033 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 NormalsMax ZhihongEstimator 0.151708448738488 0.0947513011644162 0.758279513714219 0.0593570064428731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.191078016769601 0.129426724139281 2.36991089479327 0.453256481190829 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.254992932914487 0.193610567131074 5.32743074460177 1.76641118579014 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.388111796304439 0.330052790832769 13.027830572591 5.50580749725266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.87901202225951 0.81684221370595 33.2913565694935 13.6018495348428 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.24214041203905 1.20246586800402 36.9810351863883 21.5158913115596 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.593261245048103 0.291313995664924 39.882113112564 3.94886069179303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.07770681734339 0.52049188460467 160.196845396991 10.621698964155 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.13162888701308 1.35953289591297 34.9990364868553 157.216499940123 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 14.4923924253038 1.8898181242165 108959.460791602 44.6444045042741 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.33599287518251 2.40666859990851 156.69363753775 88.0440195161836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 NormalsMax ZhihongEstimator 0.106179437400096 0.116246055201363 0.206313802331481 0.186550282899845 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.112335745353426 0.136086620549446 0.192150192941547 0.178331502911444 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.13438260046542 0.171991970591148 0.219249387157072 0.277870480754296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.216960754733255 0.262157363509836 0.723245098078351 0.697880062795022 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.576997451414195 0.84971167762152 5.54636221042172 14.3340181144897 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.848554901021943 1.24902873982662 8.92890489405383 22.0522444997571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.200655962476654 0.312075076028885 0.646972266946015 2.03396295393515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.353129035430633 0.528355033205559 1.91864013006225 4.73779437458427 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.714150750470439 0.967374155328432 9.47477482172958 12.7137003402692 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.81802082214158 2.94536999440299 88.6224072143037 153.684476404654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.94795901550923 3.45973851671357 31.4635773417533 100.320265464145 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 NormalsMax ZhihongEstimator 0.144450434415928 0.151249901800445 0.151234269593167 0.368072097386505 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.152307054735982 0.191570020423035 0.171419102225522 0.802117763710291 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.181109191058798 0.252062206129653 0.295237156652969 1.83096072801295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.273105085288284 0.418328247958564 0.907391733977162 5.3638975258237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.974613111443702 2.92638992350387 27.7463225054231 2479.48845183374 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.28255903079189 2.3065294342028 47.2710521246054 252.998453498376 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.819653472831169 0.309573695520886 99.2488220074147 1.79172205499936 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.38129174026556 0.581543730494418 242.065932344512 8.16543443394017 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.52064490710748 1.11426087799382 121.460741651375 52.6986864768418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.43752762023451 2.74734831006376 87.4432476706628 188.421520152195 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.13373091963953 2.67139911471522 553.432841419938 73.5979966637076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 NormalsMax ZhihongEstimator 0.120443323111138 0.150585437351906 0.142842984886112 0.642262516959628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.153642431974768 0.18454664172196 0.499957475858367 1.34488215839191 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.245608675828839 0.258273418566477 5.038005484198 4.94609478461622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.489188168308993 0.406817991755432 43.451990466127 15.1176002504066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.15293755352727 0.938709147700053 1708.48105741343 44.0171242905254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.12408500007374 1.21384972068783 17.0335627881086 24.8193304080077 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.580196532315935 0.345788720364514 97.4779936735298 8.14894578966254 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.738172852692585 0.5369996215764 94.1809630551833 10.9573822954255 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.0547175396526 0.900254575160397 57.7273579462122 15.0259084434535 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.65825225733902 3.7158005010843 23.1396534990908 1477.11737252551 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.23481358430663 2.61169500121516 44.8744040233857 54.1899564396054 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 NormalsMax ZhihongEstimator 0.0931443755580033 0.0822891659549969 0.079428121003754 0.0451594320668874 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.08267825583105 0.137690230416805 680.292662553846 0.645856256137639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.40410394929634 0.212489273558072 1113.33088263336 3.25429865569918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.37763488750184 0.460373413411366 852.100240104359 37.6399215741208 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.47310608964168 0.565277594697326 391.470854966212 4.04198159709542 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.58888829849828 0.832465534752664 197.752671087683 4.35014127739081 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.237908255842094 0.261578973488987 2.47024692184431 5.69970834655728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.319385067933322 0.681453773722519 3.19625534874141 92.5484963120572 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.647597064629724 0.677930153350017 13.3632260844035 10.6513149653646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.6517831272535 1.52723174026183 34.5452537234948 11.4284918170722 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.4008932257556 2.17276097046898 142.28965655214 30.9033879876765 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 NormalsMax ZhihongEstimator 0.0967520447735181 0.0981088113505104 0.0884849120562146 0.0814874756406497 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.143736134080301 0.102805501985134 0.514572366189786 0.0700583684464803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.209757388463021 0.114697821725661 1.59741967644425 0.0766353958689392 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.355968075328047 0.163352665898813 5.24733509494262 0.175257616924256 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.740481115498158 0.561872240340868 13.253802949811 6.06684474911271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.06391057365208 0.849655595004202 17.7518827522453 5.02641711867369 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.194443336755555 0.247472439161383 0.637583329317694 4.25552100317973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.333223545069644 0.379166065608496 2.3785374891363 6.94774399130029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.628365619722094 0.637161086057953 8.06645858813688 11.0763685771771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.53586139870548 1.35873290030983 20.420075037886 17.1510438131055 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.38414176976288 1.75455195879956 57.215533736037 12.6218244643353 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 NormalsMax ZhihongEstimator 0.131551033137247 0.137951487168613 0.397039377168003 0.895843394148725 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.180677920795458 0.518167217352905 1.23470618858999 129.044375302415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.268451970172791 0.786352655130819 3.29762351482636 308.914940175274 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.471384834583182 1.06483662920519 12.913452617216 489.615197154292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.58822158983082 0.770020859663705 241.200882321555 71.0568818346888 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.37964532666471 0.847549083134665 585.476248454463 17.46282376162 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.32458499501364 0.410892769282975 775.140480567533 21.480392122538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.34336377480413 0.834034280326678 550.204101411773 96.0814028945728 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.13961787184815 1.52459228568478 160.801314202636 213.647589641622 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.76833117249381 2.45191887574946 61.5743322622463 289.963235650778 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.65048456062881 2.74558954522295 213.470200304401 140.641339691571 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 NormalsMax ZhihongEstimator 0.114088265595154 0.117418262230331 0.0557421772403318 0.0599758945157412 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.123472693136958 0.149232868279591 0.0720948044629863 0.147547828519096 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.146409612543482 0.193834458882475 0.131957053333885 0.477171904954652 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.215969369645557 0.291916383719758 0.372973325983414 1.49368706534954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.568023853823255 0.656810662010333 3.24791164625877 5.60493235981939 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.915934638779942 1.11612216599825 8.36710011480625 16.7786481987948 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.16816062162741 0.27954206908011 0.16642567463895 1.53817748199207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.2732625513542 0.54574101647043 0.521375165273292 8.42901302690094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.484058421773326 1.28632973505202 1.84009712032394 100.035737411555 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.32293187015004 1.85066254635253 15.2757680310235 30.3939587761085 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.10891111215564 2.44094913518567 53.4709839965886 40.9931030389173 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 NormalsMax ZhihongEstimator 0.102661939645291 0.0618096916147049 0.0704723855824822 0.0428952830522232 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.166158605314716 0.125404243215975 1.82311385324652 0.628692969726065 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.248408807837257 0.213654216013224 6.05168239319138 2.12018532338952 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.410971238434669 0.425048109711454 17.9174098979108 10.2296603101617 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.891682162759373 2.05574519535922 48.6141726542812 591.319474489978 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.25049210488245 1.53041437207132 50.5446029353606 58.057929054992 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.27114292319157 1.04422198100724 2.00254884459408 254.207313542264 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.534660419857534 1.17817074949422 11.1663055819887 209.938565222126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.786147432208363 2.95594477143148 8.32150115810464 2480.56981979738 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.06115831104517 2.38145341622761 68.9430910633608 306.65786086823 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.01886907965155 9.56792043064093 125.512208114639 26366.0097416221 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 NormalsMax ZhihongEstimator 0.000256504046345599 0.000145339455111593 1.26096801944699E-07 2.98818395719336E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.025702573244758 0.0239455206361186 0.00244223226421521 0.000940237856348265 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0598597345842383 0.0578354551851657 0.0148519608231165 0.00360843190630657 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.150778690753187 0.1499579891424 0.0990137022595119 0.0144013574092113 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.618251474494134 0.619613885949852 1.6492293581686 0.131197295799648 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.1178217059788 1.12070268616101 5.34762586437358 0.366485758530388 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.114899674143608 0.114442297886713 0.0581411354574083 0.0110662158336896 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.288915039052419 0.290263711241162 0.369697684973605 0.0458851599567985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.682848871891374 0.685962381562147 2.03318759916508 0.186815503961895 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.3162934793683 2.32678472379828 23.0226777511698 1.68087866520746 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.90566535041271 3.92921513381869 65.2068102517199 4.52458651561156 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 NormalsMax ZhihongEstimator 0.000174482470044455 0.000354500105754829 6.96140085088146E-08 6.64503778683508E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0267761872432737 0.0276065093227108 0.00214725354320425 0.00194689187975322 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0542929840854996 0.0560245067040821 0.00959365409252111 0.00717550595929238 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.113334200468015 0.117695643194242 0.0476398185167352 0.0252964915110578 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.438449315104548 0.448944641342793 0.850020345023175 0.182765504627415 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.872232420529669 0.879789424356509 3.39969287181264 0.490785501260777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0919142361069513 0.0921209459681953 0.0303975001556264 0.0170459231296338 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.199553718360338 0.202258803336054 0.165378444744839 0.0594778157146277 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.481560876286088 0.48784680075476 1.04736267864995 0.216499151101213 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.99319308211191 1.98773807521094 17.7063115612809 1.93441314800039 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.5615500118504 3.55055686993037 55.9565725586388 5.2932517403764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 NormalsMax ZhihongEstimator 0.000723455050140968 4.34316400475196E-05 1.13934790387835E-06 5.93627982715295E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0220970727414462 0.0171487954740831 0.00153890698125274 0.000574258835176964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0470959434851585 0.0374458591893237 0.00776189188146455 0.00208732577686875 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.107878900693805 0.0904437841910732 0.0451959502500984 0.00793092959469528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.450489816592642 0.425690724418758 0.865276169162953 0.0785255077419685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.870395242355119 0.85182377296172 3.25880839845284 0.243348119509691 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0829640175937125 0.0692594710822177 0.0262885097214243 0.00552986340841345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.199806252694309 0.179773680079139 0.166382784960415 0.0233570321830919 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.497770321894039 0.480630219730909 1.07392618528798 0.107119185451115 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.94416848325523 1.9519433738259 16.3383146955933 1.22806438981208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.42611191573661 3.45754304980205 50.422324210681 3.59645466961401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 NormalsMax ZhihongEstimator 0.000381111291503386 0.000360056115066025 3.31491791776907E-07 5.53005572929426E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0217421102678917 0.0235297235692129 0.00137728414478808 0.00142276360685881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.044040849491812 0.0475025059270265 0.00609686491526693 0.00530594695885737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0920779439228051 0.0986684921089469 0.0299688090963506 0.0190044223180827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.356233318890828 0.37279272859131 0.545608867748713 0.138469217711228 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.724498761184546 0.742817463870453 2.31557670979885 0.361844973243577 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0723306359823366 0.077858662417299 0.0179436427976943 0.0128975749253467 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.158227672933215 0.169866239818305 0.0985516702395576 0.045961451998162 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.3882275020069 0.406987697458754 0.659576307277446 0.167773620311777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.73219707419735 1.74124091126363 13.1839751731867 1.47737172536633 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.19958068756563 3.2000374745326 44.4504069188712 4.02255030936638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 NormalsMax ZhihongEstimator 0.000514219188347985 0.000114688626481813 5.43739023791594E-07 2.159366106851E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0206233628885428 0.0282096806474831 0.00129318007192022 0.00194148490953191 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0421271825386826 0.0567387092433824 0.00588817742009883 0.00721141680553874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0902922830179392 0.115868981303089 0.0306153201796046 0.025129355501693 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.380161963277931 0.411464229657992 0.632590037251683 0.167435980538978 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.782006038662084 0.805993516054464 2.70450329341456 0.432858104550392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0722486707227237 0.0947109924689878 0.0189916509553077 0.0181398440904172 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.167064702071416 0.201025709655327 0.11574902961048 0.0612134080879202 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.434332438229956 0.469116361064885 0.839370155895974 0.210496259097279 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.92279608611707 1.93989731419679 16.2652427149148 1.7871921808535 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.49844834485055 3.51477709806384 53.2852309030622 4.87651030986581 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 NormalsMax ZhihongEstimator 0.000212725980369448 9.44605537010407E-05 9.56740881800243E-08 2.57379410726021E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0174943956622445 0.0204336383083852 0.000924770535012636 0.00109186984224105 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0360248962820396 0.0418578946758513 0.00432893979237228 0.00405001657880245 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0791186898966969 0.0903577177372357 0.0238600646176571 0.0144793011439956 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.34919324249237 0.369836318606971 0.536753388336118 0.110218863623485 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.723763497059756 0.738851098320867 2.29892054736489 0.29964697242096 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0616697586354129 0.0700768194347508 0.014126633095526 0.00986289421454243 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.146632736391293 0.160324654648679 0.0907346907321058 0.0354028662461964 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.390180410247444 0.405108398832844 0.67702931154618 0.133396813475536 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.70474820652973 1.70976992253499 12.7330793687434 1.22912214446671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.08477357545337 3.08800098727562 41.3449860992081 3.41527448325111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 NormalsMax ZhihongEstimator 4.35712743153726E-05 0.000303800463521834 8.88005145689489E-09 4.70890203273738E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0259989782044976 0.0209204479468858 0.00204183257856043 0.0010129525762509 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0525357168779263 0.0428940281334688 0.00906867746272489 0.00364907692018117 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.109932416544393 0.0931561369778669 0.0450592476224516 0.0127366788240195 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.43090452637303 0.40612362321283 0.808604908933591 0.10722122782519 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.851816826078654 0.832251365799361 3.18510201163361 0.314488489703165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0893001646095676 0.0731064816548637 0.028532804606428 0.00914147632387475 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.197895646927284 0.172719632770863 0.160211219349118 0.0339890415668274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.484166564499626 0.457240488617543 1.03282467297655 0.142570210918293 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.96521966136596 1.95653816986617 16.9746401989816 1.48564866913489 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.50863196694637 3.50300633840412 53.5478924690012 4.19090865287992 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 NormalsMax ZhihongEstimator 0.000163090338561514 0.000243987824855593 5.33777896376812E-08 2.88740665781152E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0248389903414597 0.0208874211064106 0.0018187548735679 0.0010582413774064 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0504031499748482 0.0426018214322579 0.0080673938183442 0.00387910514237989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.105727781998076 0.0909237633241221 0.0398011749711923 0.0137134183107582 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.407100019465966 0.38091712089016 0.706036905800821 0.110000904319777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.810208069331483 0.788399629895653 2.86241714398642 0.3153438369836 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0849427124177292 0.0721407075961795 0.0248732777448365 0.00951660606389652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.185856364981875 0.164482862934065 0.13657455157167 0.0340635621923942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.45073924473674 0.4265473794812 0.885291993856153 0.135284373547968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.90498533386151 1.9003029055799 15.8968898450337 1.38010211028764 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.45812919344476 3.46508010643503 51.778912757754 3.93084057489793 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 NormalsMax ZhihongEstimator 0.000358538203038818 0.000398874110115324 3.00234767347194E-07 7.1772315131975E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0216752887085467 0.0231304816549527 0.00137940450049391 0.00140172213903667 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0437960255408073 0.0467815371489822 0.0060709900284497 0.00524080131025423 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0910967823127659 0.0973927891889067 0.029493293483355 0.0188606557956928 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.349500045737224 0.367536425611976 0.526265428481672 0.13965574987208 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.709246459508426 0.728365080373025 2.22352656489645 0.368795118143918 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0755212495233445 0.0808205863563042 0.0195926585021818 0.0138502659627309 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.164978595332789 0.17643110480252 0.107782267501674 0.0487630669068139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.406431821762177 0.425290334300356 0.724291692606072 0.175840242249258 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.80377083827548 1.81547560008171 14.3123710112754 1.54993812706424 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.32201060812313 3.3230101225262 47.9878638860791 4.28351031053313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 NormalsMax ZhihongEstimator 0.000439005771622446 0.000116719866794897 2.4736510541293E-07 5.55794106083661E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0203644174140559 0.017267553114176 0.00131996609050659 0.000629330656468242 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0423837949056924 0.0359240284444523 0.00626957822799938 0.00223959507765477 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0943324653957117 0.0813528966887929 0.0345683694423635 0.00794723040948853 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.389903432867572 0.37398777461415 0.660750101319748 0.0728902539365357 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.760660940474571 0.754288286512407 2.52709974842914 0.217539404271838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0740953346896181 0.0632751983085265 0.0206680004458366 0.00569043630577731 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.175093710960711 0.15590226454033 0.126795147406866 0.0216131456659737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.433851333120858 0.416722147211524 0.820799883334612 0.0917046090961874 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.71789178508672 1.72011488768263 12.7516486641483 0.943294679146683 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.04045336060272 3.05716480493673 39.6077659135683 2.67206733793133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 NormalsMax ZhihongEstimator 0.000140352127216905 4.8839767384614E-05 2.90883494282103E-08 4.64406039049722E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0244364543082203 0.0197632215597446 0.00218749133392452 0.000538710414978317 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0578294133518265 0.0513164755613767 0.0138104172291479 0.002285067755083 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.146242439014459 0.140204418552345 0.0927201367923487 0.00992580604377413 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.601207155854966 0.599827105034582 1.54876235114254 0.0979224779505352 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.08876967819851 1.0896141187441 5.03804030789559 0.279506348520752 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.111988024135738 0.104675804483282 0.0545342078818834 0.00702364801495688 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.281124140183105 0.276495233737605 0.345512263153273 0.0306955946928405 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.66519951377073 0.663480785668391 1.90474896087159 0.12948337935072 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.26593831053369 2.26922400592473 21.7596262839907 1.20625170036989 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.83911520980315 3.85325698487885 62.2331346776811 3.29546764223007 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 NormalsMax ZhihongEstimator 0.000144364947982337 0.000304544015776428 5.15045637600152E-08 5.02255421334798E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0205445010466474 0.0198223975276743 0.00126883625503441 0.000953020899961283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0420102832357745 0.0405502471002242 0.00581076485202578 0.00345730670914498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0906429689090268 0.0879012873932867 0.0307884803967617 0.0121750569819788 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.386971576226233 0.38173195469285 0.650857876175922 0.102235578167305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.789999971341832 0.787052428348271 2.74005136388543 0.303036553902619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0711897664664855 0.0698851135491165 0.018556481479935 0.00867222545922817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.16526072982308 0.164157774115391 0.113680582759554 0.032328374127549 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.429342186002363 0.428040788038056 0.815873887725817 0.134348040697274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.86380225114419 1.86090689800021 15.2265633842913 1.42358263615018 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.38234156277077 3.37427032941884 49.6735191132609 4.07062103288381 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 NormalsMax ZhihongEstimator 0.000952963882672229 0.000128693197540046 1.85027214291527E-06 3.66657997566556E-09 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0178801172025627 0.0213802523643255 0.00103840057995406 0.000925831571360436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0398218690238826 0.0454846854761851 0.00583533211653057 0.00332205008595528 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0985711041242709 0.105642815017824 0.0396669408134963 0.0120774931933181 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.464745573664197 0.470685938122089 0.933111281203748 0.106307587749889 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.925396236985344 0.93106412002304 3.68166153407889 0.30982279064459 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.075959551129052 0.0820240226070917 0.0230770605582889 0.00882773464074153 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.197357462966764 0.202038424682684 0.167284871305932 0.0335692884788942 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.523064482243487 0.525590770485725 1.19176204369528 0.137523003710188 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.1160597041778 2.12212864971588 19.2100375224105 1.4014765643182 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.74648243357538 3.7609892126282 59.8973182913678 4.00939514063471 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 NormalsMax ZhihongEstimator 0.000253528226790532 0.0004243790006352 1.54781620905474E-07 8.66561459444295E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0206941030925291 0.0179045275833329 0.00120944058918563 0.00079400217411433 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0419098450946315 0.0364948515670078 0.00538400058642953 0.0029189892785443 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0878519974551595 0.078260819427353 0.0268448715716489 0.0104775092481652 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.346557367094063 0.336713260352265 0.512408055079633 0.0883724494462975 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.713978550740439 0.708584614461769 2.22599712841368 0.257827939604355 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0701354987047716 0.0624510098624232 0.0167240784846975 0.00744767181870736 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.155277767852744 0.144305690807844 0.0950639413682829 0.0277423782991518 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.390111677420048 0.380049760258254 0.661598507203439 0.11454692838305 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.76198835732702 1.75677351812372 13.5673946780602 1.19132378312776 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.27716681719637 3.27481475390392 46.4234951837738 3.40525239516177 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 NormalsMax ZhihongEstimator 0.000370101609349018 0.000167711214285894 2.89555497617326E-07 1.39212256569761E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0178216699074682 0.0210575663537749 0.000964289073634392 0.00104260628512891 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0365019502747692 0.0427398303979526 0.00443922368079043 0.00383362274040436 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0797302859131903 0.0901122169596595 0.0238961548973996 0.013510792940098 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.354149201970151 0.363252981808084 0.540117959128234 0.104313206702446 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.740517737108978 0.745367479068494 2.38313984192063 0.293006774453714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0641278159312515 0.0729657776102841 0.0150690064786077 0.00976474242510666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.152850644577686 0.163621150021141 0.0966679148190027 0.0346396976904387 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.408898583236548 0.414050692044692 0.735708342795245 0.134578583168814 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.84915822856213 1.84741746682688 14.9373516046772 1.34112200115737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.40445832035564 3.39920487880758 50.1139847198424 3.78331138694948 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 NormalsMax ZhihongEstimator 0.000101255639584637 0.000104954757381036 2.30708643517722E-08 5.13368540316371E-08 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0213900357179854 0.0164961330565687 0.00132720685150998 0.000641384565793498 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0437823542400298 0.034437575847528 0.006140872575847 0.00234373275400617 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0942207370932821 0.0788891498619751 0.0328086480120058 0.00869277852701703 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.392993945650804 0.378760734874626 0.670827038761075 0.085940324712715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.79148957521045 0.782753480797913 2.73804462766423 0.262669883426283 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0762039025138319 0.062233795957017 0.0206993600977129 0.0061786564591251 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.175967364164715 0.158275273458577 0.12724685396742 0.0252746713280286 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.446833878739495 0.434814406795305 0.880381787582015 0.11399993755204 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.87434299626036 1.87295355967618 15.2904755304818 1.22867955046965 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.36574908293016 3.3695066885753 48.8542492671786 3.50347925121872 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 NormalsMax ZhihongEstimator 6.49844591999772E-05 0.000176093387033855 1.19267549360262E-08 1.52377340151993E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0185684164150019 0.0202662411816794 0.00104657639461251 0.000947756837866677 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.03842323150765 0.0416295130907 0.00497430108581145 0.00342790676913382 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0854951467800641 0.0911274544742866 0.0282869150238995 0.012063232892178 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.390334145513154 0.398497751261839 0.664859064668163 0.0997713470676881 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.803477763527744 0.809651876758398 2.80867042119706 0.286302726832878 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0659782865268074 0.0696765714745372 0.0165153632307864 0.00790374421850133 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.161659379954982 0.166468299819273 0.111416912991968 0.0293863524237392 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.438235628274421 0.441229312643709 0.846508511068725 0.121736687824142 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.89048250223968 1.88862220711436 15.4382390391548 1.22194186827968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.40979120869539 3.40526854364284 49.8066377029027 3.43438669868522 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 NormalsMax ZhihongEstimator 0.000217526379682291 0.00015028559448036 8.36312633063466E-08 1.11136588187277E-07 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0182311983802382 0.0195099805460526 0.000984802691357634 0.000882832632413496 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0374012098326205 0.0398372942105678 0.00456223465881244 0.0032306977131315 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.081503924050941 0.0857887166348674 0.0247774183661099 0.0115156472429513 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.361159533325766 0.367229737099073 0.564957571311798 0.0964555055048774 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.755018291738346 0.761847634707371 2.48331819667094 0.279172043938684 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0646715705769154 0.0674047119380627 0.015167491287791 0.00797573382391671 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.154092919514706 0.156551999017374 0.0980130285131726 0.0290167063774647 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.413016575781535 0.413008983914626 0.746941872381308 0.117260957546345 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.85466881046429 1.85368433716333 14.8929746857798 1.17057405378561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.4022597505522 3.40416861484 49.6700510396873 3.31048119709623 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 NormalsMax ZhihongEstimator 0.000243780192239268 0.000453627581348917 1.48821608853996E-07 1.02873929663869E-06 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0196973167082666 0.0189487051630139 0.0011310150022107 0.000885612938296712 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0399670134790707 0.0386013799927283 0.00505307862119762 0.00325785231501696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0845357905304633 0.0821958896256078 0.0255630673077367 0.0116345585557983 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.347048669582664 0.342987007024289 0.514860447650694 0.09490055488068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.720943741899948 0.716478019694229 2.26417952958961 0.274337734999699 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0675122921727392 0.0651612545819752 0.015594683075967 0.0080567439688718 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.151430698721548 0.14910487793436 0.0908480527779845 0.0297934391721059 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.385608555923495 0.385583888522492 0.648172362089906 0.121313164772841 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.75989806395594 1.76448379209314 13.4965879513368 1.24648301382968 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.27291902255664 3.28138416986583 46.150053137691 3.54516770306501 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 NormalsMax ZhihongEstimator 0.000341199177589817 3.38937125476003E-05 1.82588957547377E-07 2.50998633751884E-10 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0229924449760326 0.0154127107926797 0.00156971393576834 0.000469806452525762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0476681191777655 0.0337274061204601 0.00761488856552769 0.00172897008462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.105504378941369 0.0837160370159814 0.0430624865116097 0.0069460224547515 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.43973093964994 0.421125366042707 0.839151774743991 0.077142584279237 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.855161094933779 0.84545368918429 3.17248505525041 0.236576402025106 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0803217987267266 0.0611355544304361 0.0243162726465085 0.00436402957802767 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.189892465630342 0.167739533578547 0.152836484204153 0.0198015252866275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.480953927102815 0.465962533079368 1.01167303858536 0.0937816609684929 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.89794592674938 1.90152037346707 15.457558220972 1.01125632871994 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.34322997814884 3.36249883615324 47.5990351912686 2.87698418141931 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 NormalsMax ZhihongEstimator 0.00830945733173366 0.00398123018572718 0.000192859043506169 4.19579390938655E-05 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0364333381687837 0.0277495518277444 0.00490814465510385 0.00123805668675001 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.08075266847063 0.0688159929078797 0.0270600073973615 0.00524739678829777 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.1910135792325 0.178583704132736 0.160771729759583 0.0233323100821561 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.72931874836127 0.718301291711466 2.34403879331933 0.235784851181316 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.29761334689557 1.28605078929836 7.37494493540401 0.672947489712602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.14384244075846 0.131526250082727 0.0906483872709036 0.0142955992290111 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.340889123591174 0.332503685019162 0.520370465322529 0.0643510124407274 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.77835373599419 0.774365576162816 2.69041929453982 0.276340711494161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.58784591005552 2.59137874523487 29.2861209466823 2.58964224137827 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 60 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.3575289014959 4.36999265945486 82.690681961509 7.05184194881218 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 NormalsMax ZhihongEstimator 0.0250064368994649 0.025196488899578 0.00194833897252285 0.00201560421727824 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0386253123239786 0.0398832567343095 0.00478741469986742 0.00439651350087629 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0650283437909646 0.0664818900058056 0.0147545930523935 0.010635321654982 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.130530787472463 0.132411232778864 0.067155905857661 0.03262760322899 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.512322149921659 0.513134729660438 1.18457303037382 0.255314842979674 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.00471501042794 1.00330942771866 4.58010697424803 0.727653941019299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.107056021264814 0.105861644956112 0.0432924607296198 0.0229485799552939 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.236569980123499 0.236990940736726 0.238097401615199 0.0827548072064571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.577814553361139 0.58184090579572 1.51141738420424 0.33505918308732 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.30526008127689 2.31022627996675 23.9880619821884 3.28013903904954 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 61 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.08585515989213 4.09720172488995 74.7085645614506 9.34176352079592 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 NormalsMax ZhihongEstimator 0.014973561531162 0.0183898012778869 0.000788525375446702 0.000946156585655312 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0310229515146563 0.0383097119047197 0.0034147258264786 0.00330421927402622 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0609529066345326 0.0706369720533065 0.0143330613890918 0.00931226671394817 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.141226142064432 0.150269722404601 0.0837904083259571 0.0307023828375241 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.607110834535419 0.609204029931404 1.63151601386475 0.257777839878009 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.16364619382105 1.16337254226859 5.98513251750595 0.73427188597852 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.107360201390383 0.119081217354593 0.047856128171784 0.0221413331735161 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.266919372583724 0.278244522349314 0.315237313196103 0.0821210954166295 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.675591336705784 0.684029385149088 2.04443647107043 0.336950437881802 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.57399157628235 2.58609062751915 29.2747107949956 3.30964195352196 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 62 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.47440942044406 4.51037075853877 87.9846265206656 9.32246323473155 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 NormalsMax ZhihongEstimator 0.0337183341091892 0.0281498114589283 0.00339136286657795 0.00240217647290482 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0465083229418534 0.0388832970727502 0.00659565797909706 0.00420326480183079 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0722090265674413 0.060801255875054 0.0169680230566651 0.00914865064307203 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.135215375082618 0.117135089761836 0.0666244237071046 0.0274283482110329 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.481972899848697 0.456927251991737 1.01783848194703 0.225913466893346 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.938220647974271 0.917055420625139 3.96901183255658 0.661562205602613 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.11027288892088 0.0970110853856654 0.0436824724190207 0.020091694034439 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.230524848943846 0.211422007548052 0.217629414721067 0.071547550134862 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.548469585900151 0.527119355327712 1.34243499980275 0.298251403238091 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.24507855190279 2.21719445968879 22.6971647550943 3.03307256235251 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 63 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.04741878689022 4.00578760250583 73.0949200190121 8.42550042485428 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 NormalsMax ZhihongEstimator 0.0246096892851881 0.0297778465911531 0.0019890648719657 0.0024904944310829 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0354388059958397 0.044277181268031 0.00416817390982264 0.0051031423798319 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0579611315356375 0.0717674016465689 0.0118494012620179 0.0120402280900017 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.117410934462947 0.138268429238417 0.0540470264051636 0.0363907162396372 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.482303298796098 0.507451644315476 1.03881655600362 0.273037116844463 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.963813578242583 0.988806493029505 4.18807993237041 0.765927763663763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0953182975418151 0.111637274925394 0.035032877095151 0.02644978759275 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.217764520412356 0.237448600705196 0.20290892046976 0.090194037510384 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.552136497821805 0.56829741114736 1.37697075946114 0.346236905977336 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.28885792969929 2.30445432885777 23.550767244562 3.25864152262299 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 64 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.10916114807605 4.12670051821889 75.1974315054597 8.96492449164922 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 NormalsMax ZhihongEstimator 0.0272102467788367 0.0170683262483661 0.00218052483559054 0.000888662581513015 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0426048019736093 0.0308319616461871 0.0055517214594542 0.00247135433053985 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0707648583152728 0.0550889406491921 0.0168162528861087 0.0067664706672935 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.138756225988211 0.118132120881209 0.0742985028085824 0.0232211494253666 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.523655839498105 0.508083986057246 1.23146177003806 0.217647046709665 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.01262173720942 1.00116563240348 4.62230661279031 0.642049140722139 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.114092687951158 0.0903607651078153 0.0483597435084957 0.0154070857977715 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.245803554562154 0.217886933255601 0.256711641573485 0.0622660469345871 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.58726576763915 0.562960135431437 1.56132219200055 0.277783729432291 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.27270237243808 2.25926311301483 23.2186437062947 2.85641897216419 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 65 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.99981781194556 3.99255097062604 71.3547127063973 8.0145007396696 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 NormalsMax ZhihongEstimator 0.0174465183759095 0.0227506006773264 0.000959156530492004 0.00153024717830027 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0324849339230377 0.0374754371239363 0.00347793361239529 0.00364589660280763 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0588402751900516 0.064703822044692 0.0124090365406463 0.00939988664385374 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.124902118369972 0.132823489343882 0.0629956419156376 0.0299265512394093 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.52584807943658 0.529211305162259 1.2424124706532 0.245133591585762 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.03277373286149 1.03395181572403 4.79276886397754 0.699188112128571 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0974302226425541 0.105136911678888 0.0375541950513 0.0203472286463619 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.229400665427588 0.237476209030256 0.230632150244338 0.0722282513958529 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.583597026215492 0.589221660600095 1.54568212451186 0.289009622762367 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.32831151072862 2.33298767770508 24.1849683952855 2.73393044279904 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 66 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.11527589729579 4.11560835852012 74.9361408346137 7.48767962094638 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 NormalsMax ZhihongEstimator 0.0233151657589958 0.0253948144976115 0.00171970844992092 0.00178983570022373 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0357602093414143 0.0383087655643824 0.00414131855892489 0.00372110168169818 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0596186197494843 0.0634912687590533 0.0122576942994633 0.00920938389762464 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.119407404032117 0.125643225182379 0.0551232358683862 0.0291502335502602 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.480726451663075 0.486700841198284 1.0241279018239 0.234219000245588 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.955673164228994 0.96004850933236 4.08713086309351 0.665015692149168 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0983972157621221 0.104396943455982 0.0377105030096774 0.0218964812239563 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.222555238566493 0.227276679350114 0.215459494869247 0.0756372450329708 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.560640921812161 0.558644526399225 1.43669065379843 0.299067241458234 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.32082404907621 2.29421257113956 24.2015657548484 2.89988136127493 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 67 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.158066482928 4.11713830575139 76.966039458336 8.14128132691685 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 NormalsMax ZhihongEstimator 0.0317990729882736 0.0288156617535233 0.00303855713532616 0.00247660176121846 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.043793345206498 0.0412865183178463 0.00596221534846856 0.00461017445924625 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0683549670718238 0.0654152886694813 0.0155343952494938 0.0104389319733839 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.129943522833277 0.12538252940012 0.0625597482036176 0.0313288557703092 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.476877206652765 0.472576205534204 1.00114236884352 0.238557758583053 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.937796858635799 0.933775613232541 3.96110007707543 0.669940906548359 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.105517957089311 0.10173150525609 0.0399682983568713 0.0225556865794737 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.223263997642327 0.219203564245912 0.20397487495873 0.0781646225598735 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.533747713098695 0.531606638262995 1.27882763621896 0.306491047033462 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.20916776777179 2.19984782752497 22.034825184515 2.9094603302714 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 68 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.99291599897225 3.96677276424672 71.2849453933243 7.93364321518838 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 NormalsMax ZhihongEstimator 0.0228977961558412 0.0101010662331578 0.00148935931321823 0.000226513508179049 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0421915225812741 0.0252400895263624 0.00548327076559928 0.00127085126338803 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0745528416977217 0.0506072887588417 0.019533313177658 0.00426350963918692 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.152708118990602 0.119712473530811 0.0947363825877004 0.0173474248820313 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.576150052898595 0.548252320789387 1.50198254966839 0.198879936685068 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.07887701540299 1.06101039888341 5.25718883028622 0.604213092478401 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.121000904844827 0.090274621621851 0.0576552924891294 0.011223503733434 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.268646617025132 0.233990944119276 0.317607464350289 0.0511664082460884 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.634756823282244 0.610672177433653 1.83768098392834 0.240710755854137 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.33832371971263 2.33794937476559 24.4421080365143 2.49895616192165 ExplicitDataSource (a*x^2+b*y^2+c*x*y+d*x+e*y);a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 6 69 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.04385265478148 4.06455388983537 72.5442785889285 7.08323480932062 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 NormalsMax ZhihongEstimator 0.0401961921050542 0.0287915192759352 0.0132364293952091 0.017803936422051 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.326883552818124 0.251466519840786 59.331095282808 3.00304268892067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.663998348735183 0.532875536803857 204.661136641873 10.4634806388564 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.32486151953385 1.09477893268635 562.9619647392 32.9131649464733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.61758767448158 3.39316722069345 1197.42757317543 310.444440054279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.39891301982328 5.29718441513607 1090.20153690476 460.319772770836 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.903612525185945 0.923351663159059 61.1780023508046 24.5876238072819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.8800736860351 1.87506766523586 231.692586684925 84.0311883951464 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.83852966135573 3.68420445650347 963.688777788879 297.693814645327 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.43327024815805 9.25679638252025 1612.29720974254 1064.15982183699 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 70 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.4274712261169 12.5943331880943 2016.12935704396 1096.52804091284 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 NormalsMax ZhihongEstimator 0.114508728513903 0.110407106635932 0.129336976184785 0.108368804993352 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.287829034474504 0.349437724162458 5.09631703997793 24.7213018947804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.531109982260652 0.66605384547903 17.8363666358922 108.660705550281 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.03417218964198 1.52954286657989 54.9388364472697 844.588620003909 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.13081594083443 3.36384772535281 265.106589980133 747.464370996813 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.65882817962289 5.59520952953054 316.087344721496 4659.36986776439 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.786355460078587 1.25833319318837 41.6737990994794 1076.93027286876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.53945813117389 2.20123913602421 124.840073666341 2222.77488058618 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.06057552831934 3.83724758104888 397.650813272424 3420.69918820336 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.72294453606699 8.16090521317931 4375.57202948455 1032.20247048515 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 71 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.4148836653648 11.0253022741061 1297.79417979652 1202.45667827058 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 NormalsMax ZhihongEstimator 0.0712166896908453 0.0788785075479247 0.0635268108503344 0.039386399582686 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.28742168199136 0.261601179567853 5.7731412659398 1.27703359038316 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.566059038386816 0.503165128463472 19.9089149916557 4.5927441875394 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.14645859915276 1.01812839130314 64.8891205997581 15.6165373136063 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.42975116875581 3.13924748013371 367.575618426427 183.009366416519 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.63788754459901 4.83468288579874 1152.4522421444 268.652082574997 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.858938611328833 0.864498745737499 17.0643624963147 18.9992199922625 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.81358104514778 1.72009171632862 69.0831077505498 68.446641757632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.46629095184337 3.42062310309402 205.960748076963 313.305912200945 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.91882120150206 8.83231855276144 1260.4115076775 781.275423776938 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 72 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.9468450775082 11.4992341585988 1454.94087212023 402.143608983378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 NormalsMax ZhihongEstimator 0.138242407353906 0.151718777620482 0.163800565273063 0.615050102682379 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.263137339290988 0.303584439178289 1.60369419187989 5.5015840158975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.467352176275104 0.530806186247033 6.98108142695318 19.4980167147524 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.920287023272857 1.05443721178057 27.3735874245089 73.0188960681706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.7398776962201 3.05127134459586 160.813034018583 375.962369498334 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.33900083196607 4.46798278933791 267.325383859722 276.329928891349 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.766236503764876 0.745539370850909 24.5544921200669 22.190058257015 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.59681358484408 1.48791081997639 92.5949101995741 66.5468609341537 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.21446356890907 2.93800503808451 271.103608192203 165.089530662499 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.20299364855427 7.85926880157403 1033.90696473834 465.913471494746 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 73 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.5293305607941 11.2983044937371 1501.15898701855 999.500505891803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 NormalsMax ZhihongEstimator 0.129080125386024 0.122642428804389 0.358647437178854 0.115630193589671 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.287389565402103 0.29279612588839 2.92321554458303 7.37770881580885 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.516122706551021 0.52119950878693 10.9163954734371 24.8678216679492 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.01965415450613 0.983477711245706 44.4965484735358 38.2506847308204 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.11970183631541 2.86096379906461 430.363851570317 128.445627552723 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.10733505972216 4.84512574572861 1290.30453853244 393.004184727705 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.797802043996544 0.800046047018624 43.8740864342614 39.5025978215485 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.57162130161605 1.68172376227216 110.606456994619 213.329581394634 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.13448416888364 3.34492823449795 290.416651013293 521.250803390733 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.11672246499774 8.38229528569372 930.114933494049 556.459270191657 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 74 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.022434305296 12.1632932706446 2006.22902387807 2102.72783838148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 NormalsMax ZhihongEstimator 0.111581426642586 0.0956756884804065 0.12783602636668 0.178087641936946 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.359815030704659 0.249497942662518 39.9281416953537 1.92781357622378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.661194390675202 0.485631442863889 121.449114682691 6.82820027260736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.28458790493298 0.991481535773795 315.459683692908 22.8309737580918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.49055403249658 3.37097756739956 631.539424512624 706.901489785973 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.29867060129441 5.17345669736384 708.652625330061 709.760647499773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.78859261405506 0.766497017966821 18.2324275309462 26.3719441269279 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.66666559247442 1.82235085402499 89.3903123697328 272.911517134802 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.34048918470016 3.46114887187204 397.831666320773 525.172326625086 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.81164998382055 8.50112607373645 709.97530007255 858.487481631527 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 75 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.1794327338215 12.2694411626699 1734.86578692189 1736.95323369869 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 NormalsMax ZhihongEstimator 0.092089898860404 0.0976895442196443 0.102225248180548 0.0986907231482251 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.229762403567059 0.275556159396954 2.02657187649044 9.35949935173876 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.434383961273318 0.530386841691471 8.07803375064975 40.2690488739269 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.888291080361855 1.08667801240018 30.8850509564789 169.141385312689 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.60990641911927 3.25230383386748 159.35393873784 1391.19164474931 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.31074909400524 4.60147441993046 322.368938896511 1017.47521489377 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.852459813469029 0.760876690198994 57.7039515220911 20.5088178550804 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.63899341628212 1.50758341874646 120.194344839471 70.4320062544958 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.19973112288946 3.09070060548767 244.478565015902 299.899969327362 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.95196195340973 7.82419863522207 740.157281220414 626.108563619639 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 76 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.1545769852106 10.7093925378331 1223.44494855923 665.808898989037 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 NormalsMax ZhihongEstimator 0.108731132905325 0.119426486661464 0.120517615990351 0.227152149442566 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.278535161916969 0.337713990761525 2.99641027132251 11.2041861133668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.514257561070106 0.627481218929429 11.2391537545506 42.6218377636271 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.01851978067946 1.17288168759903 40.9713999247241 131.117273117449 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.04510819895698 3.21052456431802 170.597562657889 595.824946297926 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.76623197831324 4.91507650740297 336.809976998563 603.845707107858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.715432243163424 0.953271667351303 9.40916676735623 144.79258224538 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.50752184459429 1.82227468594236 36.9987963167862 257.022337960627 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.10530428995565 3.41365676203465 161.131630050653 464.616493491304 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.22275979248853 8.54735181097751 855.449832288225 700.014106607654 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 77 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.8206184999118 11.4102438023952 1735.54313214283 542.585969431027 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 NormalsMax ZhihongEstimator 0.143459051628706 0.142069594636382 0.276792734562029 0.388624767680719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.400882640524395 0.281306858291161 32.8753776755141 3.26652964832133 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.768972881773049 0.495022816702839 125.40369268957 11.0815620754647 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.43517751722086 0.971808152557338 361.834368416016 38.2557330234752 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.88540643701636 2.89286140486784 1374.62623069646 234.39024980416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.24855059456698 4.58399589697529 865.292402923969 359.795639295852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.967163896004726 0.782904267924983 76.8182183010696 58.5180457906793 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.80170113634195 2.08933256007425 159.169451165464 1380.47354520066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.46764474258966 3.77198510399613 394.122477693186 2938.95216196871 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.75713659970488 8.11714866990528 763.401605068416 3952.80651420545 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 78 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.4068479976212 10.8415485982356 3186.17271092124 705.410903514794 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 NormalsMax ZhihongEstimator 0.0952549575048654 0.0685371001854866 0.0657566368412028 0.108653630000759 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.2658635491111 0.253722142252772 1.58163714801582 4.28110719175735 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.505959853257812 0.512612101726116 6.42834053547801 16.1282720345148 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.00338416212684 1.25650935640987 25.5392873734135 223.382435128402 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.97030451816862 3.36888562172056 305.341902059866 324.224174837714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.48612726905855 5.1132214746038 322.689754176551 388.494251276688 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.950605229715634 0.898224374927273 48.0383862915339 46.8504763229061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.86452392070349 2.06875809984746 121.279716862714 871.824118301972 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.52856980611936 3.57817357126216 342.110952262101 432.41717020469 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.33396422944693 8.00702944088471 864.040535540948 548.935293287456 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 7 79 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.3959958533033 10.9224056001429 1363.09433749477 587.257308390665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 80 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.712419007070867 0.478562555952073 0.0204433355628271 0.00491715773238914 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 NormalsMax ZhihongEstimator 0.352782094414147 0.362343737927379 0.00830388205661593 0.541377905004711 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.352776697377231 0.362353063469949 0.00830269767068363 0.541405346112385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.352776697377231 0.362353063469949 0.00830269767068363 0.541405346112385 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.352776373131207 0.362352992286009 0.00830267114144628 0.541405101069297 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.352772142340032 0.36237687811834 0.00830095931598298 0.54147800177114 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.352752904324549 0.362354366197017 0.00829960025844629 0.541408065482029 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.352782080648013 0.362343684413933 0.00830387775013345 0.54137776080341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.352781275923994 0.362329056331505 0.00830472581351041 0.541333451160083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.352776054121765 0.362319437320252 0.0083037411865862 0.54130597479886 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.360185701338598 0.369338327441789 0.12028204303655 0.663883884112068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 81 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.662651014604496 0.694756725024418 6.36728913259579 7.24291690063665 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 NormalsMax ZhihongEstimator 0.434107231817138 0.0358632072796772 0.0444719127521905 3.38139074104535E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.434107437613941 0.0358632132845249 0.0444719198428472 3.38139322342462E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.43411025483937 0.0358633337957789 0.0444717788253064 3.38139706719754E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.43411025483937 0.0358633337957789 0.0444717788253064 3.38139706719754E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.434118560295184 0.0358636354278348 0.0444693332171532 3.38128079356393E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.43413449259248 0.0358641665548353 0.0444660680685433 3.38113800308097E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.434117379762465 0.0358635682065437 0.0444738319623602 3.38156961331519E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.43411975695043 0.0358636880690362 0.0444723730948041 3.38147132144119E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.434128575507558 0.0358639615905761 0.0444719625382576 3.38146727155977E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.434194846680617 0.035865897357308 0.0444680188845823 3.38124400257949E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 82 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.434320387413061 0.0358692370123231 0.0444835352859234 3.38183251844295E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 83 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.29566966561311 1.54853269328491 0.0910728775605185 9.66157933145375 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 NormalsMax ZhihongEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.548083304377508 0.550485413520133 0.0397275896419759 1.23389081065597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.548017907780442 0.550513727605679 0.0397094818654359 1.23401455345095 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.547995900261628 0.550522379387855 0.0397032869419752 1.2340525923414 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.548083249372036 0.550485218152126 0.0397275480062647 1.23389001853217 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.548072344548675 0.550489917071577 0.0397245259245335 1.23391056215089 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.548050445842523 0.550498977609811 0.0397184138518302 1.2339502726814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.547994802654255 0.550517663353536 0.039702440273481 1.23403316626463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 84 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.547812284264265 0.550543130361008 0.0396477633485195 1.23415084833169 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 85 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.713634141286766 0.820319517137222 0.0368339015635052 2.73219064290448 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 86 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.775970933133801 1.0734917550047 0.017662046312557 4.63872197125292 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 87 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.30474600444084 1.15548003317845 0.00971387267409297 5.3526984774975 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 88 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.39991461766913 1.66646999057682 0.0503748363910221 11.1764974053043 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 8 89 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.15927500616158 0.0505139560608416 0.00755999158166187 0.010212503659418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 90 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.709657846186205 0.48004780588524 0.0180599052441166 0.00374398387321632 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 NormalsMax ZhihongEstimator 0.353550240110321 0.358093244942716 0.00849700004537544 0.52500507398835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.353550240110321 0.358093244942716 0.00849700004537544 0.52500507398835 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.353553667128068 0.35810018118184 0.00849716949407732 0.525026287046821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.353553667128068 0.35810018118184 0.00849716949407732 0.525026287046821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.353545660968741 0.358105192578599 0.008496433355659 0.525041634823736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.353541585578731 0.358105910252274 0.00849677342150998 0.525043364280814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.353553667128068 0.35810018118184 0.00849716949407732 0.525026287046821 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.353550020463743 0.358093211764314 0.0084969455676396 0.52500496276373 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.353543283374947 0.358090640604689 0.00849581274049659 0.524997650540674 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.353531696992154 0.358072871560155 0.00849215608699667 0.524943946472847 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 91 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.353707856843973 0.358185473340369 0.00919586602851431 0.525459039970061 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 NormalsMax ZhihongEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.424197877462451 0.0357561091998784 0.033972420158583 2.65504352055789E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.424198884553988 0.0357561496403096 0.033972133123378 2.65501447904617E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.42419717128758 0.0357561391402554 0.033971133104316 2.65491791753998E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.424201912499318 0.0357562105113995 0.0339728118087327 2.65508279218872E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.424206243796988 0.0357563238523679 0.0339731162465479 2.65511297686679E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.424203029238356 0.0357562551563661 0.0339724976159849 2.6550513886525E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.424224173139057 0.035756868559784 0.0339725013637931 2.655034481381E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 92 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.424220035705175 0.0357569375066758 0.0339624067795182 2.65434228373268E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 93 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.31072594559959 1.55657940889809 0.0742592014870686 9.75822377332303 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 NormalsMax ZhihongEstimator 0.550457530291116 0.551387846425755 0.040403544942099 1.23361419282513 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.550468790532133 0.551398558143803 0.0404068971925548 1.23366501538411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.550468790532133 0.551398558143803 0.0404068971925548 1.23366501538411 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.55046871566628 0.551398168138148 0.0404068378918078 1.23366337951076 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.550502225717774 0.55140135001685 0.0404166814517587 1.23368048768917 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.550501816673181 0.551411810766265 0.0404163573261561 1.23373070540709 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.550457551503533 0.551401288616028 0.0404035618529907 1.23367728987514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.550457551503533 0.551401288616028 0.0404035618529907 1.23367728987514 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.550446265516053 0.551403750468255 0.0404001890996119 1.23368842892803 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.550468135550818 0.551372534032187 0.0403944239146802 1.23354810999415 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 94 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.550429437221885 0.55122572011757 0.0403653824133868 1.23287965593276 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 95 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.713061792141924 0.818579434824083 0.0344913840946153 2.71132461926928 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 96 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.779073124923111 1.07695489617288 0.014944909194137 4.66854438341539 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 97 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.31152062333201 1.17088608119759 0.00920304307069692 5.49330385562083 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 98 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.41539817397295 1.7164678146876 0.0506264947265206 11.8385850635203 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 NormalsMax ZhihongEstimator 1.15921341246774 0.0505037657816559 0.00748539523987956 0.0102070988740231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.15921341246774 0.0505037657816559 0.00748539523987956 0.0102070988740231 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.15921443360692 0.0505037694557935 0.00748556927393254 0.0102071004870504 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.1592124377891 0.0505037539611715 0.00748521789172769 0.0102070939729816 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.15921474237785 0.0505037172189879 0.00748554626769112 0.0102070793790777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.1592140713875 0.0505036547626406 0.00748534576969292 0.0102070540072612 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.15921140750187 0.0505037519167892 0.00748504453505386 0.010207093017732 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.15921249659083 0.0505037441595672 0.00748521345849335 0.0102070900104763 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.15921356583238 0.0505037396716849 0.0074853839134386 0.0102070883255597 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.15921436303552 0.050503409020186 0.0074850781029752 0.010206954828621 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 9 99 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.15921625032314 0.0505030288605371 0.00748495268751119 0.010206801976463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 NormalsMax ZhihongEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.709645604655245 0.48004520990359 0.0180569407281836 0.00374415719307197 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.70963828104335 0.480043637342248 0.0180555879874007 0.00374418738273918 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.709651312163522 0.480045921998238 0.0180575899386187 0.00374406983238405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 100 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.709632144708094 0.480045259369782 0.0180559774600003 0.00374436287549567 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 NormalsMax ZhihongEstimator 0.335268841932043 0.339474862892943 0.0125349020679981 0.477735977452706 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.337293991023596 0.340887597712485 0.0168690262270118 0.478285455417121 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.343590371582143 0.346523800794095 0.0292645844952604 0.483485779715676 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.364556773434832 0.368535862973722 0.07778502098875 0.52174791180488 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.481312224938192 0.486717402352875 0.618581256372478 0.977642441140009 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.612198845598838 0.616751658598574 1.77368355682603 1.91529688671503 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.355095987196529 0.359551661321666 0.0555959300220294 0.505513759294925 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.398927893980705 0.403217484497427 0.187641756057457 0.620954984749247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.497359629597704 0.500078130371431 0.722788280401442 1.07491612901496 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.983608683131164 0.961325960077842 7.78469191391891 6.29223038511743 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 101 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.75624995431717 1.71176822475591 28.9933010709488 20.8473318102165 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 NormalsMax ZhihongEstimator 0.422993771009452 0.0352884082184188 0.0345070353666051 8.56948843528592E-05 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.420835960710159 0.0391807022217253 0.0363302083902436 0.00093197264954094 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.421667385002312 0.0427753228756425 0.0394480070775542 0.00325133265808814 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.427179042422854 0.050108021270496 0.0497923499278805 0.0124299128916163 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.453560175278421 0.0802278865606848 0.147531347936746 0.111563573295282 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.482888467372939 0.113684900725388 0.34154418678336 0.319729224265241 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.424229809344564 0.0469527125516867 0.0442671536408011 0.00804105033304684 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.434188304613373 0.0581095543809128 0.0673386754522085 0.0308122661560983 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.456351411208905 0.0813899952593596 0.162309721282024 0.122956615799993 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.561681590002612 0.187989560810196 1.33152227948514 1.14758897253603 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 102 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.75432686826375 0.394476861580647 5.08782728483971 4.71987453333069 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 103 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.3107222143188 1.55657176919543 0.0742577259959783 9.75813323722576 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 NormalsMax ZhihongEstimator 0.547794911132842 0.54773942306438 0.0417606155407754 1.21864943563817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.547993399229097 0.547701571896246 0.0419669141207544 1.21823254634223 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.548532710977588 0.548069698447284 0.0429330999804649 1.21840339035463 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.550347039792098 0.549794893587752 0.0467802197214735 1.22184137214916 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.560348592463321 0.56234107273473 0.0844948045592133 1.27574881177066 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.572671901446261 0.576836846056198 0.163330917124359 1.38601324938184 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.549356622812977 0.548966383358884 0.0451254919845329 1.22056755835646 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.552839329229695 0.552407570075809 0.0551901864098306 1.23012312502599 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.561408143465384 0.561660439532243 0.0935761764912804 1.27190228469626 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.609316491523652 0.612757217396248 0.587726491480911 1.82419949349307 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 104 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.721946758641148 0.723819441677589 2.67831923485199 3.7001081280598 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 NormalsMax ZhihongEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.713011837264455 0.818287527442237 0.0344860648540302 2.70935666082405 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.713001118535354 0.818288945482571 0.0344874268081762 2.70936771613587 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.713019072623084 0.8182970635923 0.0344869513246308 2.70942144256873 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.712958749401021 0.818252673410946 0.0344731459340716 2.70912744768213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 105 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.712926213078828 0.818209823630263 0.0344591905893446 2.70883691352209 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.779068733541903 1.07694941923362 0.014945483445109 4.66849914459987 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.779063497637048 1.07694250766306 0.0149449299782219 4.66843872248954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 106 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.779063497637048 1.07694250766306 0.0149449299782219 4.66843872248954 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 107 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.31152282365612 1.17088567657539 0.00920129042222654 5.49329927231548 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 108 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.41539809298048 1.71647730062525 0.0506296720137626 11.8387133372905 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 NormalsMax ZhihongEstimator 1.15930721788079 0.050503864021122 0.00748585250786 0.01020714111717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.15930721788079 0.050503864021122 0.00748585250786 0.01020714111717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.15930721788079 0.050503864021122 0.00748585250786 0.01020714111717 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.15930784719387 0.0505039513867683 0.00748605007505004 0.0102071762945378 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.1593053249042 0.0505040148958838 0.00748574069696926 0.0102072017914106 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.15930264991616 0.0505039206827015 0.00748519706923718 0.010207163651668 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.15930542841175 0.0505040000686103 0.00748573318896659 0.010207195826731 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.15930463787964 0.0505039529265089 0.0074855439817656 0.0102071767292387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.15930463787964 0.0505039529265089 0.0074855439817656 0.0102071767292387 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.15990786157415 0.0506219715804717 0.0154484811626697 0.0103940698257472 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 10 109 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.16142203403944 0.0563709416975636 0.0396889663458909 0.101201130662858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 NormalsMax ZhihongEstimator 0.661150124447558 0.427272095937121 0.0359373332218142 0.0195071661806344 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.660245844639907 0.456986819636886 0.136022036968432 0.0630880490099558 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.672369171124311 0.504785144306894 0.399437913863047 0.20413438653116 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.731966270130644 0.598717394530547 1.09024219817043 0.662894713832961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.06626058966027 0.954779442548337 5.67925850883174 4.27153129691064 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.41873207777396 1.30689694450675 13.5629793746633 10.2214065772398 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.706143187959633 0.573344642719128 0.553953116883826 0.528318165249213 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.829209059850228 0.72699104121612 1.68063421113893 1.43178445453506 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.10801844659755 1.022040177735 5.63742323244892 4.75440983488087 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.16092725873868 2.06864606060441 37.3698678067771 25.9562327610295 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 110 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.07665679262443 3.00099154955608 76.114707759799 55.6772563052817 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 NormalsMax ZhihongEstimator 0.217117491745408 0.225615598720772 0.0265705977786993 0.233877634519683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.352896997203212 0.349740468723597 0.60361115406001 0.676039350027757 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.530900293590947 0.523110683987873 2.34780530822192 1.85419518274561 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.915555110508148 0.899293815536166 8.86185192386013 5.942527209687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.41572574795204 2.37685580750834 62.5329732084374 32.7355232271355 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.72395896099445 3.71693710993424 121.800877457773 68.8107199188616 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.753389907437279 0.746792541860709 4.62826481303283 4.15188498529131 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.38079167454848 1.36840402625481 17.1478691523175 14.1255218430961 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.56916939091865 2.56308807984973 55.8839894968143 45.2937136367028 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.58276491647355 6.44876770561591 344.548420343895 169.44734513207 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 111 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.84692383172163 9.62448926072856 714.280749504062 305.182221065792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 NormalsMax ZhihongEstimator 0.353913243407086 0.0327575463336227 0.0551453295844324 0.00119143991935491 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.386887435910332 0.177200907569398 0.298109901652745 0.402502785488773 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.48929006308787 0.319100785333094 1.04971227638555 1.5039058859487 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.739260686889231 0.601206144690299 3.82871424223551 5.17368389894682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.74641457112924 1.65577629076737 24.9941048593144 25.0464489226418 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.6993287872081 2.60655570692725 69.2086765806309 45.0734245313426 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.666320134396451 0.476405934132814 3.96934824823181 2.29603759211586 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.09510681907862 0.902313665453118 12.5883986112297 7.74719504739266 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.93757253454558 1.73217333898897 38.7205197636834 23.8956875570212 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.71651541967969 4.53741665841979 170.637925662284 103.421500301789 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 112 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.03548388409693 6.94474289657111 351.864022939276 198.346695796098 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 NormalsMax ZhihongEstimator 1.16194446872698 1.39318809026113 0.204193529783721 7.98049369258826 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.17467197826539 1.40224814445244 0.253475033755386 8.048241905454 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.19692329019399 1.42036272645232 0.388942637808302 8.21189546209416 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.25061810980559 1.46738847039334 0.849843017091894 8.7341853100901 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.49670145633662 1.70299328607794 4.45080182308433 12.3064848365247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.75124321501187 1.95185265460008 9.3830117624872 16.9920899159736 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.22515578250995 1.44134920208001 0.58422211496729 8.38540546673067 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.31775257524995 1.51741864223535 1.6643954331062 9.14266760627177 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.51318347483435 1.70648534261517 4.48868377730125 11.7726330859605 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.33719293954596 2.53747606338253 26.8940426466523 32.2075558600893 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 113 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.090084351292 3.24605002967199 57.5293595028743 54.6634937788296 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 NormalsMax ZhihongEstimator 0.400997272286456 0.399707237466764 0.0757281879764276 0.697646330583465 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.461970622342485 0.468512684136221 0.333248771377059 1.03048763433032 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.55231229373348 0.561838721405831 0.93346487685353 1.68617631680409 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.761544329570828 0.771608409714861 2.95069065054187 3.88430854132648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.67463435488626 1.66403055573927 21.4219109533931 19.357393972762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.54046661131207 2.50131417207358 51.6815113576489 39.6970211618792 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.695566850819352 0.712212161580813 3.42978012525917 2.88864569198944 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.05143618136436 1.08823170154251 7.1510425405104 6.85485924064889 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.78579638466464 1.83966640903075 23.9441247192296 18.5640798090237 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.37853346968573 4.50345580324857 143.49851271787 89.8972740041159 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 114 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.52126509602499 6.68642613376401 303.863657225649 170.98820572771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 NormalsMax ZhihongEstimator 0.592208399863776 0.68640454155455 0.0885064636725685 1.98777249753399 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.62318871199984 0.717780910865035 0.269492205422664 2.3254850383758 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.667691366422682 0.76191246213008 0.5912268407203 2.70354435402577 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.765954156712214 0.86086737247568 1.16763364828819 3.52278183963004 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.24296721543206 1.33074671337049 8.07078400367738 9.568200407648 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.71861290967481 1.80371947634825 18.9273358007729 18.5067535618559 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.729065632813301 0.820943710116487 0.834152122943068 3.05099812846714 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.91050667944067 1.00542139358554 2.66546655776466 5.09812237960341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.30807913800758 1.40894665498917 9.72571716170113 10.9304313809161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.74023248523952 2.89237924179411 55.4612859681533 45.2982703563534 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 115 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.96200285956923 4.17918839080673 119.017281957461 89.8049730880831 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 NormalsMax ZhihongEstimator 0.689605945807857 0.964328756440154 0.062354509882505 3.81867621425771 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.703664865160666 0.973596456114379 0.091800633664905 3.87020986899247 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.728200816242202 0.992488660817514 0.180587134339789 3.98295784992259 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.785381666998682 1.03887342082835 0.52026705340753 4.3302933236777 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.05702083940433 1.29008559327434 3.92333388554333 7.44086578178644 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.32106153014326 1.54938679123886 9.06079789236682 12.0086974063923 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.76687885135412 1.02420448776963 0.408268405370775 4.18988851643624 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.871689705518548 1.11908937897813 1.36698214646353 5.07508996975581 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.09395008143442 1.33431864082263 4.62097910448311 8.17071817028507 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.95834742126428 2.17885292039508 27.7240560464736 27.4353568252181 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 116 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.67665660598086 2.8836922163945 57.5987302911561 48.8010740946995 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 NormalsMax ZhihongEstimator 1.20435763484593 1.06352334074532 0.0900944999842649 4.60416736705796 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.20941038534681 1.07104422877016 0.110856238861199 4.64738745577126 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.22189824713024 1.08495107401358 0.169709917697463 4.75091415544045 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.25489305246186 1.12045930919894 0.438703595920902 5.10159947005068 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.42185296863623 1.2892921119344 2.66988187310171 7.46236057445341 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.60728894451241 1.47107539631893 6.22541441357239 10.7609162400819 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.24547004283937 1.1096702137189 0.43256123520289 5.00898462063762 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.30996600758809 1.17601770728829 1.40695379477073 5.87130395987687 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.44408745519627 1.31700869139104 3.21457802680042 7.79991472377263 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.01388252960984 1.87278787119878 17.3289714129151 19.3319526956578 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 117 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.53207222811756 2.39082420626018 36.6602565699762 35.6946306995174 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 NormalsMax ZhihongEstimator 1.26425934411097 1.5142644416456 0.172093343374229 9.39477020661176 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.27375103411345 1.52073611387823 0.201004609075758 9.44872492974329 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.29358425001047 1.53581251662374 0.293709437307431 9.58597015736508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.33910392581902 1.57506201631588 0.675261180802055 10.0350009910858 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.55517795810172 1.7681713451583 4.34025168231272 13.0505123058361 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.78518160575235 1.97839875187984 9.34755246006904 17.0579737161306 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.32243078162733 1.56629312942399 0.547477110273166 10.0748426531682 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.40633298579401 1.64579342278126 1.48682413342657 11.3807724290443 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.59036724414092 1.82300466205141 4.33619234463197 14.7094474001719 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.3179935290242 2.54060748455 22.9950705478566 32.6175131279852 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 118 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.01058080529226 3.17890097726453 52.3962090207735 53.0030192893613 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 NormalsMax ZhihongEstimator 0.95857260903726 0.0430688867351618 0.107117979779178 0.00671015321214683 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.978626037581086 0.116055395280954 0.304576316894471 0.272053197974196 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.01390899390508 0.197446835000535 0.791271621853643 0.627043101535593 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.11361833211718 0.371940586171738 1.98031390037026 1.9248637943887 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.70027024070123 1.05373662387265 13.009953297814 9.95043365283508 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.29994633242055 1.6913676522472 28.480934144402 20.6478159141078 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.07992921372592 0.302530507480497 1.48653744411244 1.24959834982187 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.30421044285753 0.59096181742627 5.04578499429008 3.96852783611339 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.79977072909095 1.13905371160063 14.7719160305631 11.9279082331628 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.66338567627585 3.11804996783657 82.2436834028568 72.5174245081161 ExplicitDataSource a*x^2+b*y^2+c*x*y+d*x+e*y;a=-0.923465977387254,b=0.0710765240113607,c=0.270587172950891,d=0.764323189744876,e=0.981940225689644 11 119 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.28370722158783 4.80260785483902 179.110221729863 119.075353687534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 NormalsMax ZhihongEstimator 0.976755206185202 0.930193904739073 498.931320007729 333.564953874151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.58737684065738 2.84630339307606 2494.97619763439 4559.62322049411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.87404435999814 4.31431436806224 1772.76928772359 7055.62046154746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.08513278684766 4.72979443119916 1237.75142711775 4580.83581574626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.21721449049113 4.73974287804939 2152.89116255271 1756.84585732868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.59788519331199 4.57294474529444 4312.32879329985 1172.86575087124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.51958487718265 3.30794928369942 3788.90121593481 1770.77758640555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.01207824704794 3.80790915478733 3293.67686935739 1922.63589128414 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.59281334424782 4.04376305942301 6607.23562058611 1923.62942272069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.59745450394661 4.12077116400594 305.449281138669 759.349229598693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 120 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.51535520251044 4.12431513730204 2345.81937849476 823.427803682205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 NormalsMax ZhihongEstimator 2.65003827050071 2.80260286677259 1280.31833203559 1486.63355710308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 5.16874145012292 4.41339802833415 9395.47515782741 4648.26681646329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 5.20077094451996 5.70674041218707 3601.53509445152 6768.90901038173 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 6.25284812112306 5.92289794278925 7069.78285200776 4339.50439286208 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.59625660390191 6.12367652552388 1841.39315679958 2143.92403825291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.10887057254736 5.48781082079526 6801.29068339026 823.043381733148 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 6.39485792683883 6.35156777241007 5450.37636829508 5627.68263837721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.85470014210318 6.0721723152926 2450.85729497802 2962.66591797394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 7.0947470674907 5.77249966638046 5081.04830375546 2428.71317275326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.72604054105233 7.05169746353407 1393.90425946643 37494.7286861482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 121 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.50050635554989 4.71883334057408 2448.88979321465 332.944005187396 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 NormalsMax ZhihongEstimator 1.91453322523462 1.46265242404736 1599.88358025557 321.415194273421 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 6.76776079632922 4.57764906199616 16880.8541794404 4681.54854938628 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 6.27073637023993 6.59373284217388 8613.27256063038 8449.28917831293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 7.24125643068035 7.46888024119982 5418.25226335544 9309.4471761491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 7.86246092343622 6.12518213873901 8700.36068548412 4217.40714200753 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.13361521039988 4.67080632841916 1353.44941480687 691.14911026829 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 7.36391617581643 5.31309006601778 10688.2378554849 2818.17634734274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 6.43228450115898 5.82332099547657 3270.60953202767 2861.18253599681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.86651152915086 6.44884762070422 2245.63540696015 2946.4316495697 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.03434641125533 5.25959522386075 1099.02359358777 639.133210217866 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 122 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.48388229059755 5.45643353004202 358.17673421701 1237.316393476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 NormalsMax ZhihongEstimator 0.835557784090329 1.06787365472047 133.56153697952 229.249212504532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.64182404093071 2.81199214892816 2578.09567693564 3328.96481634901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 3.47610390594772 3.8964829425536 2983.50937288822 3420.75548270732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.85739680673055 5.65210502958412 7185.70634228376 7539.81274275489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.64617308834207 5.62102238893143 1529.54200836915 5515.25114818024 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.63989161367267 5.63199211479726 948.462309584111 3448.47154063146 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.27773810316565 4.80182062791188 2064.41436057803 3901.69142844535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.01181148632786 5.32561241870815 1655.33995445904 3471.24039234899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.22794695172928 5.26052206201746 1246.64458529504 2192.13785224023 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.5731509792009 5.45176342582903 599.308100541593 3226.02962281612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 123 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.28865648867311 4.41213576635925 380.83597051292 279.611247206708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 NormalsMax ZhihongEstimator 1.104841130888 1.42046313766346 168.535066688383 825.809428115166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 3.0606144027979 2.44130295136597 3077.79096502359 1668.60368849194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 4.04683342565726 3.52900982708498 11482.7459967362 3103.2099810646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.26513273225892 3.6975066033262 6252.29680410712 1562.20084937413 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.83079865476814 5.0156865137633 1620.23130934587 2034.46262712175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.00521655529059 4.14187339055753 1233.08850016967 661.259919486731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 4.46699504721438 3.95553726328639 2980.37382874253 2127.71915005092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.93366543180667 4.57302883758418 2685.38736359472 1668.46616425776 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.49764516135977 4.88495842381207 1103.23103872698 1712.2578661586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.75606971262154 5.07106433460923 2485.93670651883 2190.05824904014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 124 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.34960711671579 5.04706531301571 316.292007414999 1243.94680705252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 NormalsMax ZhihongEstimator 0.776820808909383 0.637373874773207 357.003581355624 33.4238743404493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.46340983814743 0.877782060698764 9489.97148198408 197.010993948268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.7284251050843 1.58427839028724 1467.13682205512 1246.32409082815 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.72002481813986 3.05550256971864 604.01218010429 4490.20737617089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.32669098066429 2.47005235088002 439.076278378899 797.124443085227 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.37327997866171 2.51795009697028 276.490696753154 492.08873280012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.09655757203715 1.75736687947819 1271.38555225292 2412.53923159411 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.24713893020227 2.41143858958962 963.562789343383 2674.88528826729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.53546674819549 2.19593161653863 906.397576592877 772.489764704049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.69935581987033 2.44854252873116 586.653992661649 209.024957142973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 125 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.68157524566199 2.38576699043154 203.506467226712 70.4872075573462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 NormalsMax ZhihongEstimator 0.924240839231862 0.713021728956531 232.237767495198 28.2567924810819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.82507406671647 1.76258454391888 1322.76695854743 823.625315896763 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.53356421047247 2.68338868495105 1483.88917543249 2165.9487289235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.30132758868878 3.35247547249071 7683.35596923549 2418.3564541341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.16972662890002 3.64946261068781 611.357797912656 1461.37694461316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.79855666364514 3.67620073643679 2978.78139345517 650.140572934542 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.57383088397237 3.30573048174968 1058.64678653242 3164.87199898476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.29844922748283 3.68321275647807 1738.99739516184 3265.81670201946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.62782615025162 3.87730461222123 1491.43611364808 1602.21461500188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.75938357396525 3.776733931874 554.912623300277 548.49168130991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 126 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.77166761551421 7.82702017629478 336.167262520001 45398.5495512045 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 NormalsMax ZhihongEstimator 1.74447159155604 1.45414730178892 1505.13909643523 383.288924520855 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 3.09140283820792 4.77251520163078 3266.34366616871 18381.318233315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 4.34314740700732 5.86805414200147 5664.34084491473 12899.2822073223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.20954670299843 5.74773471108122 2660.64823493903 4771.69336948463 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.92831996946836 5.26287032863141 2682.80970108586 2147.80314833124 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.53894993014075 4.55588432393114 1702.01334431736 1036.14909596794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 5.11362876653694 5.12544025924474 4412.51055913983 9536.69997385976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.98588909651003 5.39109860401004 2989.62761911619 5921.75442851068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.29308939515644 4.41672471764344 4551.9969612578 2250.43425582707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.07197805649255 4.40766984838163 1534.10475288538 938.307271398316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 127 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.19330150477978 4.04463760632376 713.286362833973 523.320718934458 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 NormalsMax ZhihongEstimator 0.941726395510283 0.555279406869872 1360.69551561234 45.0591001952693 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.37533824457358 1.31819078038046 837.760254533488 1159.86089672116 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.80505838209963 1.9486216661403 1287.4979068113 1338.91683364652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.07150368814356 2.10164081819018 1036.12231607894 1301.51316837015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.09297534298789 2.73820998564538 448.579931648804 2017.59326121217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.97380508046119 2.52332338606072 187.142030577793 616.311428656917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.53892371229428 1.93166123462836 2360.6413032046 995.129064945244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.31370294591536 1.93045456216331 679.906378100206 383.244725633837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.42145664045834 2.22665878445281 632.22113427509 375.340367647163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.35304928579041 2.43021723138745 180.924099300314 277.962176106149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 128 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.97494701257166 2.55183100587542 574.792276770357 397.576587336522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 NormalsMax ZhihongEstimator 0.328772568183267 0.365257874097845 8.84314557405336 12.6183330834886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.12049482275568 1.18344625772823 1964.54682687308 939.926103093214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.86008458160667 1.7134315134364 1671.72779700977 1213.59466863254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.50906829650793 2.08804637268959 3727.2081448313 1030.02980999845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.68794735907017 3.49000668641354 1136.86626939325 3410.49355457461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.92585644666424 3.45057342465134 1157.41946288448 1153.27546129386 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.45449495382095 2.40262117972576 3075.42979646125 3143.91613395775 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.51735043354433 2.83307630648167 969.511690428879 1816.00625665301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.02126842045538 2.93426350380282 904.108050531825 1112.58225664101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.97446598986573 3.20812811884432 307.465626367193 586.594119283248 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 12 129 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.2798923674308 3.05472469719654 459.836456590289 297.095121093225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 NormalsMax ZhihongEstimator 0.324428082396884 0.359358065132768 5.33926156336559 14.1901418804812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.06734798998773 1.1103461778348 143.728588566616 158.66055514629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.9559369779608 1.88995254432247 541.269581427588 458.622055820928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.45841338198234 3.4561835984538 1206.40211098925 1104.8624446101 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.56543144476984 8.20018762452394 4758.81410882381 3171.16922581798 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.5953551428916 10.6022970004494 3541.61161406036 3594.08356106592 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.91018351868882 3.16110388274424 823.350166083267 1344.32256955409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.14901028584764 5.43097287434542 1950.96255084045 2435.44059597704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.47623231448689 8.84278310183392 3401.31994912033 3704.98887344042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.2514154681335 11.9165389361869 3671.33172210737 2510.11247017302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 130 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.6119648536507 12.3223012947417 2538.61908701129 1641.74275378987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 NormalsMax ZhihongEstimator 0.827830481467857 0.848704968661917 30.4501381916335 40.3445601649297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.67091200675793 1.75275320163415 259.220532700483 327.476058982754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.6296664108328 2.97613074078215 688.278129584382 1095.58563284728 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.76564927762601 4.9466216808552 1983.03613898252 2082.10076456641 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 10.2723044820819 9.7882641589645 4602.36326773323 3560.43240325666 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 12.8137849739693 12.4207330412336 5177.25948205748 4125.18259087423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.8272040225218 4.012943221735 1118.96853161446 1183.66648517286 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 6.78966550002023 6.89600107198449 4226.02889282901 2952.68645998963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 10.1789923601708 10.8478416762199 4237.94903802198 4768.72693251268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 14.1103418743536 14.555471188084 4477.66575153953 3626.59822943105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 131 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 14.3483427279991 14.4326195143463 4042.70954816603 2422.63542471667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 NormalsMax ZhihongEstimator 0.443721123293842 0.423074129808347 16.0465278138297 7.9169096189856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.20171747259318 1.1483939676034 133.957865994515 113.664485152028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.14789870745077 2.03611162168387 441.833333694456 403.684774370261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.76690686113687 3.82954559169665 1012.07332655763 1470.96915724915 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.56577994313528 8.44843446889867 3553.14173747665 3128.69948650723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.1706513881548 10.6877851220355 3161.98718283567 3515.83931291979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.5338446928051 3.12392051204892 1429.08982124432 851.069864332287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.90634541964955 5.61176480736347 3088.56394338232 1963.15558635793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.64188909489227 8.82072161901053 3409.37475756794 3410.46767878141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.0206263443276 12.5306013421858 2144.89833574485 2542.19838360381 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 132 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.3614533020072 13.0893541091798 2494.55626925984 1807.50989558793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 NormalsMax ZhihongEstimator 0.472995031331908 0.398936521176232 61.8319470310963 15.4529088545253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.42277646395413 1.26382557634645 455.543577811891 268.736920537951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.38483828662257 2.10362822952241 896.948165745111 426.110063400142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.04942692556285 3.87626804290875 1624.25728687565 1559.33579958425 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.37602247526094 8.16040550595025 3727.31511673538 3332.89627402997 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.8672403287846 10.0541453598079 4186.68639098359 3292.37610774705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.38018113189031 3.15666054416223 1479.0937684985 1432.22517150908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.56567493644782 5.26374320356214 2472.25797909453 1737.83300445037 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.47962261694138 8.80432602831828 3278.94074542783 4223.33948028882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.8260385764517 12.249874171524 2587.02504013815 2304.15460028453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 133 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.4852605433549 12.8181034568308 2302.36630542365 2103.53235390016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 NormalsMax ZhihongEstimator 0.38180906179406 0.387609466887591 6.34598560934288 7.16389041534926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.11888020994236 1.12651722595176 113.570272916757 123.87478176941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.01908409062418 2.07905163952269 397.443349315564 484.371657517361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.74499617301788 3.63439551250727 1433.96853567787 991.769415676805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.94099857100611 9.22662300335996 3669.80564746388 3560.028785917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.928257899863 10.7979384999272 3416.61297698993 3122.00443465152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.01715904549092 3.36090317307932 701.569789627504 1025.40326070519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.60640838184016 5.88213572737518 2002.6312132142 2340.54236034929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 9.5255903172696 9.20471775201756 4117.30559826599 3314.03039812174 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.9473301967996 13.2673148206684 3818.94359008543 2554.85066481908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 134 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.4981968236672 13.2605023326617 2585.8915263426 1718.77249851012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 NormalsMax ZhihongEstimator 0.389821698284091 0.392822104586528 25.4323251827447 21.1865189310593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.892974324267392 0.978654481501883 322.734959487235 290.033999825164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.70302096060156 1.81467225276972 1112.27638975553 2749.90660436761 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.70246370927782 2.62407368013445 2024.17697403231 1676.26232714163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.40455367979768 4.59809478594719 1634.54955394853 2777.93952105005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.91002355733851 5.92712960441843 2047.1691117249 2006.04291646729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.65480336320793 1.80699949951738 440.733552866551 809.968132632627 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.96426610866634 3.27979690629317 1129.24558719736 1626.00517844596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.15893435180838 4.48113834771023 3271.35120198955 1152.24532303022 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.51110017291701 7.07221851452264 2646.28708303815 1660.08667243518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 135 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.60563560635965 7.67586490254458 1147.36275594073 820.599235247965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 NormalsMax ZhihongEstimator 0.335538393804485 0.328012013666108 9.23720674461214 14.730769901207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.05633958369465 0.962267248799288 204.362501234431 135.697151364927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.88575543390544 1.7309918111502 575.746224829626 396.823636918735 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.41812130663507 3.14507693029759 2002.84735398328 942.470203176107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 7.86938218745175 7.75963041582494 3576.0762021167 3013.03436823392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.5892794555428 9.64557385917807 4844.75059888086 2648.02628869383 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.73551680537013 3.03467787029858 1039.71426647578 1902.50493483199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.84454576719321 5.01006910717063 2214.8684216581 2532.87643791211 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 7.96691752219342 7.76675836004048 3560.81846010565 2762.93215955534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.5989509878446 11.5968423169818 2853.13405329767 2836.36799151504 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 136 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.3836672895826 12.0957555459904 3097.77197511436 2117.2492609716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 NormalsMax ZhihongEstimator 0.547900388172188 0.584561339804497 27.6915648310101 31.5523284783944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.33680182473446 1.4204287702877 232.070875819755 286.504856949515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.21606371428507 2.48159478819227 622.515953536803 1253.14913504635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.9563127983561 4.21796380234657 2102.4123029052 5070.27826666861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.37281301898896 8.17821232398781 3797.4884439348 3864.41198201799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.1450960721994 10.3461231989841 3569.06895272285 3662.91377158765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.07722982059742 3.14941696198371 1090.31851752789 1111.54317700738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.34656368336947 5.17765653644963 2970.84897868224 2214.66281266544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.2806722054538 8.31895119790399 3375.16851936263 3126.77483352464 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.5175748059024 11.5996533677394 2771.08467493574 2595.1883129621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 137 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.8412977016702 12.2116896098962 2057.25644306088 2497.55075710646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 NormalsMax ZhihongEstimator 0.269967874280299 0.246098251000972 26.8517832697213 13.8616549604967 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.633691514159181 0.735754707723065 146.015382352627 281.355239111671 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.05646495080251 1.28393756174517 262.256761275937 857.531093114305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.00547097928973 2.08094611001797 1138.4213073935 1477.02022940863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.49684082719071 4.57050259813526 1831.26772988021 2308.73473060277 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.15503062795349 5.61929233557823 2386.41418075375 1695.81225000827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.76881902062117 1.77213934746572 1340.30782838055 804.708986172328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.61676422141783 3.3056470284545 1210.32389564877 2524.44234586953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.3478413561956 4.85846296214921 1866.43359154788 2075.7304566954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.58478755614867 7.55060310697274 1129.5841974799 4489.28293551645 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 138 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.47897019521059 7.60900527769623 1225.18938640202 772.304806265707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 NormalsMax ZhihongEstimator 0.158383394692701 0.178608524494842 2.82904660503608 6.44532655393382 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.697592059335019 0.67916590325211 141.103701306704 72.7613031283002 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.3580693829148 1.21786551150081 676.145179329637 212.607584561571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.29920062063003 2.26329267033211 864.456332023011 688.539052969351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.5871645483941 5.41131040691931 2370.06640880128 2083.41216888137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.10441121151785 7.0248733283168 2456.79692496294 2068.15441645308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.95025880985936 1.86346920354331 843.462623389085 683.770966720091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.65381470734199 3.18865184909819 2374.15176886696 1188.95718076007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.79922529575676 5.48430836484782 2710.65473825001 2024.06663586958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.71731313834905 8.36827068358075 4821.37305515714 2136.23630321479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 13 139 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 8.83467102269776 8.89839029443857 1478.57877405445 1274.80316838883 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 NormalsMax ZhihongEstimator 0.292032650431562 0.28278686976876 1.50976298167066 1.31996831704616 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.776116633794808 0.76063756476011 7.78956167227457 6.11417393376917 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.33394305786722 1.29847985392117 18.7600085508962 13.1340625533658 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.29699951416933 2.26723497951068 44.1992210635497 27.1117963844824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.27771260127836 5.18910508453471 172.28683497966 69.1090028013392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.47553372393308 7.35863746954068 313.603630198356 110.894668124138 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.91906771942165 1.91912361927824 35.3038438626466 23.3767080073374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.24550434339126 3.26503485744491 76.4055996322432 44.9282463773006 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.41523694113204 5.47194272134547 175.147404358681 79.2226749616606 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.3686732657283 11.4237976320758 671.477104248006 211.441071552643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 140 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 15.7303382876802 15.6388474400299 1267.45613737993 335.992841082648 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 NormalsMax ZhihongEstimator 0.481622508068867 0.414355992171482 2.42415242950951 2.33008657726734 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.04894873390686 1.01866048507425 13.4094001042332 11.9185816848729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.65578884018754 1.65939930512055 26.5697463978321 21.8332703761644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.71418180417372 2.78546645828334 57.8945983629601 42.8374875370354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.95506116245484 6.11715993362524 215.944097178757 119.159939917128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.50531021564303 8.59841538846538 414.148133326333 173.329518253779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.34699268947081 2.39360438550394 46.2218428895177 35.722790103649 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.86466253663704 3.96419309838265 103.727776644926 66.1099479838899 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.37947954442865 6.57245255424282 242.724630316416 130.82008859205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 13.2982596467557 13.4549171661286 951.99742399124 336.374939525521 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 141 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 18.0025863185817 18.2650469107177 1702.69577764277 528.001683725642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 NormalsMax ZhihongEstimator 0.353448165168948 0.349089946041857 2.65193822779386 3.46944970507439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.03422512603994 0.983785847107368 16.6915098672562 12.3992637878801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.66036160725376 1.60506676338712 27.677036935629 17.5822882674009 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.75809428458938 2.7202821372671 55.1767988891484 32.3928539752998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.1324340992527 6.06751557750285 213.743660770815 84.8951017993639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.55827929874405 8.47047000049285 386.031491662728 129.057055360073 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.42977735159931 2.36478562571549 46.8876398854646 28.5039456577432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.97955634739431 3.92147453670853 102.001812380422 52.5616823729015 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.46640907158263 6.38966278011921 236.811345827263 97.4829329187451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.708103874271 12.5804007350852 837.700507703689 250.889022759762 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 142 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.0334763523326 16.7294548406987 1490.95800424563 373.78142352626 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 NormalsMax ZhihongEstimator 0.314684702345759 0.310252560064814 2.47766823036169 1.93408277832061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.978145806249058 0.991668185024696 11.5522160628534 12.3096607714642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.70423022658665 1.6829867896102 27.2136982495735 20.2274117135091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.92079729967229 2.86878542375311 65.2662885342932 37.2495323101149 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.47949398182222 6.46677978153028 246.514213067267 114.329449864813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 9.07499611115595 8.95657531588116 467.19677708083 161.357524379422 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.53185868998874 2.40893241181408 64.5262611066033 26.1557204872361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.23928647976995 4.07233982723793 129.781593269787 48.9815774918043 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.8540413273527 6.72328447528283 288.388769298508 105.938843994318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 13.4990765474486 13.3725372178036 999.876180436634 318.503082372741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 143 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.5873420678798 17.5432770605104 1639.10836888237 473.23847840879 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 NormalsMax ZhihongEstimator 0.371969935552818 0.39647688666141 2.13266965592115 3.70586457818184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.973595562657137 0.967878007248842 13.081255269298 10.7577328041129 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.61649080344132 1.62421117794407 27.630869746768 22.1216842659205 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.68641501562261 2.6902375801416 56.2932378102172 38.0702291542267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.95634565558984 6.00982785332191 211.455644839691 104.55254041807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.4677928043618 8.43197517557565 405.520532716953 155.954956035345 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.36805035111143 2.34521945324283 48.2740200907991 35.0640661506086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.91309641335718 3.87915281745063 108.491426212993 60.1648320786992 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.31693462492365 6.27603042049225 245.587756435359 107.877097497063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.6135477745552 12.8093944747522 837.935884362896 299.837718167912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 144 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.0563180636718 17.0499025503889 1512.9803296585 426.462186541241 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 NormalsMax ZhihongEstimator 0.298431787530999 0.311837678757539 1.29497806673998 1.38719622969429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.875364308385296 0.894485813278966 9.00276263760006 8.99843108398845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.55007664611365 1.56350922357044 23.7618398625596 18.410798770354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.66516464022584 2.71632812135785 57.4149047716781 40.9344405156315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.87544156610453 5.90563011782551 241.508591908938 123.792776517394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.30187967191591 8.35665273469204 464.066022335946 224.534624236435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.238012744498 2.21914174134352 47.0408380619689 29.0827400051334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.7974530364661 3.74952849381457 112.932124467276 55.5236265503803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.29945051729056 6.19716314976969 286.322178375108 124.023162579335 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.5264273107005 12.5342175016833 952.662935960425 389.561620205935 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 145 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.5460431573967 16.5553810411555 1571.82507605254 541.509396500372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 NormalsMax ZhihongEstimator 0.314164049078307 0.305631877000527 2.92906518475768 2.37492508275962 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.841296529236576 0.841180667897732 10.8338082108996 10.6423810892061 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.38612753111096 1.38876317619701 21.9866940546375 20.0920678243258 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.30271836491119 2.26848705754847 46.5754215404882 31.6645858836719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.21149816214504 5.16531300222199 176.038729059334 82.5946353824926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.4132572605186 7.32782910214519 314.772293497118 118.091708577573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.95651277677365 1.95280395671059 35.8022545265234 25.5131311151694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.29577453521369 3.27240191857853 79.446539971629 43.6730148745165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.45539491159825 5.4425945429574 182.603773873939 82.2685275023752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.3797131856302 11.2721447469009 689.055836623291 211.145261380853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 146 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 15.6742468405721 15.3552999227962 1275.10681556767 318.313950511114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 NormalsMax ZhihongEstimator 0.344545037143893 0.335539852199014 1.83056205644132 3.30209366617644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.96657029697952 0.942789553150092 12.6880132136616 13.2417722407152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.61550031677676 1.5760002377496 30.4408276385689 24.6679528838417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.68337187705542 2.66109619048017 64.3360673895266 46.0069293041415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.94020730134654 5.92612553161206 235.969602586072 117.807115919123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.35566452612214 8.30869553204759 429.893956659789 170.570243085461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.26441304663437 2.1878408487463 49.4209352814009 29.9205287317483 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.74712663599953 3.71677666571881 102.64563958764 58.0269425979374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.11079596014225 6.17471247359939 232.753528822267 115.40529115633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.5850682101267 12.6677498091271 867.948040069123 304.24361187705 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 147 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.786410402046 16.9430157545659 1481.0562130988 470.531755504772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 NormalsMax ZhihongEstimator 0.251388889615772 0.220346827695421 1.55175591541259 1.58334822272247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.655387353828506 0.627830045635297 6.42521574403616 5.70026420037182 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.09875926694924 1.09877747156103 13.094105027348 13.2827177711259 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.86537373397648 1.85153338268519 29.5408242080029 18.7953473299941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.3601909242014 4.37166444733588 121.832622996112 57.6262756522012 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.32140989986973 6.31584766637893 231.796241569834 89.326919727119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.57124760642734 1.52314623746043 23.472571591741 15.0070658132231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.7536086568241 2.70063663031153 61.2856744535273 30.8712307664754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.60970107974109 4.57670237280208 134.827600610987 56.949211950302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 10.0203921463829 10.0820826370505 548.467270735409 184.7803322859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 148 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.7474735875738 13.8009026477345 975.956417270197 255.753045108948 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 NormalsMax ZhihongEstimator 0.211067411695887 0.20870314640433 1.81073116942273 1.84103723188528 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.645640653222751 0.621744672536612 9.55215551577999 6.90506627512298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.11794818767893 1.08283041219623 19.9478496608239 14.3015112875166 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.9083724542962 1.89401215953186 38.6114088852566 28.5795800141235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.40665591852864 4.40533313708977 135.533942572613 70.7803625634326 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.32562400053489 6.37229339297447 246.354876198363 109.35536141468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.53747503101168 1.55422914033131 26.2482570552306 21.4408687121868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.68739191330044 2.70042519706148 62.5830455493487 39.7131254667546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.55109711625849 4.56709075176988 142.04733902382 74.6117852654194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.75585568541252 9.69659505282848 533.937704464968 174.008680611656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 14 149 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.6040228517733 13.5009299111409 996.287981392639 266.704723358322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 NormalsMax ZhihongEstimator 0.193436647213581 0.164325378460332 1.74560951625797 0.0998995402988771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.31698844952979 0.164813540268286 50.6906388539322 0.100406641890429 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.316849230781774 0.166367972575335 49.643183767264 0.102422298053639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.316706698745771 0.170424062766714 46.6259811318195 0.107206276766768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.350504465712093 0.201580770992859 44.6827850597405 0.133119352450423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.383203202392584 0.254698757853856 29.2708592703209 0.174546400477356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.441729801581164 0.170361714147834 162.485937019143 0.120073439562172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.4830776502164 0.177841750144315 201.960895694886 0.135697025168535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.28281519255125 0.201070170272624 6.28101928871056 0.14312316133328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.436108750995701 0.406323426695552 0.987717426122705 0.343516656184807 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 150 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.72592872130638 0.68924351211912 2.70886777563746 0.745729644126757 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 NormalsMax ZhihongEstimator 0.173974214772656 0.152715675383237 0.239542381943839 0.147838541002636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.174580319403331 0.153859125211449 0.239653940454936 0.151068297077348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.176205133931973 0.156137199766209 0.240481579248426 0.154809678584132 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.181837488465025 0.162916456748428 0.244280385363077 0.163584634397723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.222800118765926 0.206974282783535 0.291480784074333 0.215268490730575 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.282028380220207 0.27037722502277 0.404884131421852 0.306255095912358 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.180637207523987 0.161057348066346 0.24304336064399 0.158378350422145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.19386869568853 0.177713690124429 0.25359096967987 0.175016518227535 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.23121785457173 0.223011041044695 0.298890105888296 0.225213067987432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.484859082069899 0.484338733786789 1.06922047315839 0.5818090542902 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 151 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.80870917353855 0.784485974636294 3.11288925685907 0.894976435311301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 NormalsMax ZhihongEstimator 0.191402246454093 0.183192884952566 0.102325408226888 0.0960876761521152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.191256150182252 0.182912557789302 0.102261016509415 0.0956647565438532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.191514714186415 0.183087718130736 0.102981031539428 0.0955552664773918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.193323785097273 0.185155009871902 0.10678714506795 0.0964507206054929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.219137023427299 0.214951900966746 0.156996237410693 0.114921287165559 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.272180411967962 0.271125288358049 0.282769721984288 0.160644478672419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.193429891928816 0.187049311793531 0.105846355816478 0.0993904557804978 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.200132545259788 0.19675382242347 0.11814605901557 0.106192188693858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.227153528113096 0.228877246783511 0.17247851956099 0.13080259325908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.453304876794176 0.473668657328326 0.972921725652793 0.413509904833563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 152 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.765777696790417 0.803639349318125 3.00761351506956 0.999781463839868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 NormalsMax ZhihongEstimator 0.0406945443379403 0.0423048182700701 0.00520604542879085 0.00575329861420669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0418157167499439 0.0431852688575954 0.00563551208211342 0.00587155416436351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0448583641689572 0.0459623333200502 0.00672365143176676 0.00644087681440025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.054309519687865 0.0559312385022229 0.0110040372616853 0.00892140881614267 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.122194290066333 0.127192827859224 0.0730533259323383 0.0389029994176181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.214530155587284 0.22245651384718 0.2386419627118 0.100888667250653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0509390697457306 0.0517223429640825 0.00948524380139316 0.00744641893264918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0737153846796825 0.073145352675208 0.0238157240426777 0.0131423562200337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.138226201022822 0.137124460530795 0.097642114878555 0.0398712751158193 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.48683660940295 0.492689583746753 1.25465932897848 0.41033831215611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 153 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.87133780246985 0.907544006199106 3.86121379890752 2.76699136264251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 NormalsMax ZhihongEstimator 0.0665956836511141 0.075041783746383 0.0184676949903192 0.0342603490287026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.067608749530338 0.075536567819549 0.0188159410494926 0.0339793441618164 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0698588605946686 0.0773427054452229 0.0196820065223332 0.0340365282354913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0775163731194518 0.0843877349632368 0.0230112619784271 0.0351342379733804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.129500153883627 0.132223543717558 0.0608150278466786 0.0500065905710892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.196262026032951 0.197679070217823 0.149633746942505 0.0823656273569848 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0733403422563315 0.0804632797934458 0.020857881729154 0.0347996076165049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0904676826569042 0.0952019534040606 0.0291918307089841 0.0384213837736027 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.13754454802115 0.140398620437371 0.068197206154263 0.0537243328757621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.414676312000699 0.406816526884778 0.735679723297984 0.245788340414371 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 154 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.742287225389542 0.728342356070228 2.45956583694716 0.618281751032144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 NormalsMax ZhihongEstimator 0.0121189298203675 0.0133365695235998 0.000479696778793128 0.000589037073818954 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0144891988462341 0.014772644291786 0.000854269101320657 0.000735919881820976 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0206545382213411 0.0194565143015962 0.00210371934003249 0.00112104946972398 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.039334319364428 0.0355559244333151 0.00860180104758213 0.00279081239314505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.144559185354074 0.133621446973016 0.116734129933663 0.023785078011912 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.268418154631505 0.251534776897673 0.390260875850282 0.0681723906256034 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0290887026966447 0.0294000099247729 0.0038453854275828 0.00301178398604653 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0631199150885989 0.0625124801045207 0.0201294557350692 0.0124475082813972 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.149336714671969 0.148147742154709 0.113815979294508 0.056494449420572 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.556861007756907 0.557199962567983 1.50295083896486 0.584388376980571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 155 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.96870538366265 0.958559587527432 4.43510221341826 0.97606376616503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 NormalsMax ZhihongEstimator 0.306226984036463 0.266894113507859 0.588382921914138 0.359565257204758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.306638179922385 0.270122988871443 0.589767022807113 0.381446974791596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.307550727596267 0.275498260288458 0.592327959786776 0.484362306274298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.310845276921037 0.292437174535376 0.600798363250508 1.24529842650969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.342821198818341 0.366202407395914 0.682708985139647 7.63757012802071 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.405657008210649 0.406746237456648 1.09679369187267 5.34581778933963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.308550671311425 0.279450693733868 0.590321694658983 0.536736671295195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.315111764767017 0.298629065495845 0.603269254443517 1.15653660206165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.344331705857398 0.34874615873841 0.66780426511878 4.1138536052922 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.551843089754409 0.516268637014063 1.46489415868745 1.30181546022861 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 156 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.824883338333 0.758996686988476 3.18540361880322 1.19707926431951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 NormalsMax ZhihongEstimator 0.274106946851644 0.290285937241944 0.535469630679589 0.332013015278868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.290313864000129 0.290672406763455 1.45051682066439 0.332233832586005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.304970784867518 0.291551649185173 2.88897902383781 0.332805576105186 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.31179950300563 0.295425587207271 3.35611494445314 0.335922386857368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.313303702472321 0.32803894485732 0.945205661728786 0.362016413940298 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.364320000109301 0.383025864951772 1.24508636050375 0.417321876334192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.326573915424885 0.293497674070375 4.47814242627573 0.336596837772438 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.292107148235375 0.300245386971307 1.20956810606401 0.342215642484481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.308105861063237 0.329081169126137 0.641836552630284 0.385875776591167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.518815453659064 0.519662579869154 1.5712174393481 0.644906944463907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 157 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.80307859618271 0.770667851773689 3.57452659392738 1.09994025680324 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 NormalsMax ZhihongEstimator 0.265376380752052 0.28197174080117 0.232236666788043 0.305849117043046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.265246676132921 0.2823313051951 0.231957250219608 0.306678242808351 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.265494989963231 0.28310115956654 0.232342689214209 0.307817212190512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.267712922551287 0.285945323400827 0.236153210014731 0.3100450005975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.293306782427575 0.311867881886331 0.284866013721491 0.325802645688161 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.337029727772565 0.352630749608269 0.3935460780388 0.353093313648926 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.266171077883799 0.2849089712646 0.234335773253206 0.307588121928479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.271923144728541 0.292293292513611 0.245619446814034 0.312263059539987 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.294298389617664 0.317484251680964 0.293176003654957 0.330057033264372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.481783886068123 0.506753616265705 0.906717975131781 0.54286224719137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 158 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.736881093647035 0.758470182201797 2.36052349567724 0.951390729027293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 NormalsMax ZhihongEstimator 0.0789821590341759 0.0755149683265728 0.0221855953250272 0.0230918337057042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0821240208439491 0.0786061206641522 0.0357784501888732 0.0357533137492806 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0835563001843082 0.0800274163214933 0.0378577704342411 0.0371606389243017 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.087888756009526 0.0844314571954583 0.0415418432437615 0.0390143048716444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.302388541378754 0.129812703357222 58.4692115941114 0.0861970360930831 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.302076022917181 0.1936424411588 23.0474683978065 0.121381869083219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.134323633647264 0.114232524417452 5.86259504130237 2.40079851086869 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.121526165051057 0.108587452489517 1.35928012550089 0.606676270630665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.147544139265583 0.136833456397249 0.38484249135439 0.181403723445689 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.385870618370156 0.364708168844362 0.842327397067578 0.245898886350029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 15 159 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.679971711157111 0.648392138494306 2.44661976670098 0.54442465487238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 NormalsMax ZhihongEstimator 0.0659941570451918 0.069334629748405 0.0160559190018968 0.0176812790781514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0706697309313993 0.0735141144545313 0.0184035820655569 0.0189689725726409 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0822587117388959 0.0848297699106846 0.0257022055328107 0.0231428693173863 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.117889774733786 0.121296617437824 0.0583387551313242 0.0403041540868774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.339320766068499 0.352875450511285 0.57114258854675 0.231561558163089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.628751692875013 0.652253694094858 1.99248903237471 0.624263070476909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.104978153601737 0.106406290274954 0.0466704473965127 0.034041538915107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.182287137333867 0.180203156937298 0.16122221636662 0.082262793468282 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.385373769313368 0.376126922814125 0.779243327253654 0.281076625405275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.46046726721695 1.42035814527418 10.749094104141 2.34128413660756 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 160 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.61942019094185 2.55920311147751 33.1073873958681 5.84237231880543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 NormalsMax ZhihongEstimator 0.0613576115672899 0.0641242501374268 0.0203737005957399 0.0250531795982739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0680056474475954 0.0710328561094108 0.0228589669786717 0.0266644436237619 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0829428592481795 0.0871070075035437 0.0302971949601493 0.0311022732310406 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.124816344807496 0.131327489975296 0.0638815452136592 0.0474599316767435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.369612435421707 0.382800878925875 0.606889242410265 0.212661949488304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.674427600190073 0.69270114286508 2.07798106309479 0.530560188546091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.105434190736958 0.112503013408556 0.0454595002514551 0.0394636938160093 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.187029506822902 0.198745739990197 0.144816850683318 0.0810815479006846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.397076452270674 0.418807678920582 0.701370860021636 0.247352289173953 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.47992477461323 1.52979759076499 9.98637277183794 1.92578253109685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 161 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.64014026148135 2.71743068045205 31.5415166213599 4.95500117846746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 NormalsMax ZhihongEstimator 0.0639336303165497 0.0706251572383905 0.0207435788740621 0.0283990118198126 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0709287173975639 0.0774922171351646 0.0237314292701501 0.0303955817175142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0866319551746332 0.0930457330838754 0.0319815816805144 0.0355380137532779 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.129214545318565 0.135162337750681 0.0676893307334222 0.0538950455099153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.37110823577543 0.376213132533846 0.614430894811652 0.240983811762622 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.669648013273621 0.674675827181347 2.06489936629048 0.60875401438238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.110859048436159 0.117224561221597 0.0492186938558908 0.0450543432551821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.193943740740615 0.199005514184294 0.158858724391387 0.0902418167058834 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.406179520719673 0.409921582348312 0.757366365960695 0.268739242417804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.47607982170165 1.47902075352546 10.2681522795813 2.09977662403134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 162 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.61806944151962 2.61766257680429 31.835792212738 5.32994632357119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 NormalsMax ZhihongEstimator 0.0789532438120263 0.0790117428244046 0.0235262082257937 0.0203719811841235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0846715206426692 0.0832178070904911 0.0271091739629402 0.0218715538075918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0982177844313644 0.0952212133033837 0.0378088740760521 0.0265511454691123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.141500770606072 0.135452970178762 0.0856704155720579 0.0459274325697491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.410731310827803 0.392315120388987 0.815192354035697 0.263699129607755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.746176963282107 0.718520817227817 2.73013909267346 0.711914254463439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.122973768632281 0.11686646147423 0.0622445467220086 0.0368642468861407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.212955009755981 0.20045985023402 0.209721416432444 0.0887658560053244 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.445703142545885 0.431136209428916 0.986779910513075 0.312430805293552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.62617662319937 1.61916615445776 13.1041408179525 2.7576393586589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 163 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.88561518790434 2.88381127825306 40.2175440540345 7.19927164027076 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 NormalsMax ZhihongEstimator 0.118208962436376 0.139373105301645 0.0833123616989553 0.648258973268415 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.122472045060377 0.143894520964221 0.085655023065027 0.624319601184722 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.133016891560461 0.155465179483516 0.09620147902285 0.608490910701712 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.164858000747386 0.189205323584709 0.138268718923178 0.595781742932097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.356660050002467 0.387555766852116 0.619753238404589 0.743339927479423 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.638754217791478 0.642285805247998 13.0578505273795 1.1518325444008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.15149240345347 0.170161305024007 0.122179267357089 0.110932609407179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.215845945883934 0.238835759289619 0.239099204706791 0.164056351517646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.393772674999445 0.413392365122224 1.96964590271323 0.355550873904518 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.35875027819343 1.3408427671406 14.5524124516355 2.24554399429482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 164 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.47735175626103 2.39343337410246 65.7877676650649 5.60940926075175 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 NormalsMax ZhihongEstimator 0.0414410126369718 0.0402937659913321 0.00645769607339168 0.00548926018281179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.047895526322687 0.045687085555535 0.0104966684853707 0.00667527349354255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0637317863977132 0.0606038215220622 0.0228396099701001 0.0107852392450457 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.11124999743669 0.106243470359793 0.0787525143394686 0.0289177173196064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.383601530306222 0.374522173639039 0.875026542251673 0.244614569124794 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.712012738277393 0.701290058969715 2.76901146191518 0.68273349507496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0922087434853283 0.0892767604692318 0.041988713534428 0.0221930703475157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.185298823050577 0.181834552769309 0.18290136273456 0.0761743408064453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.417846544749505 0.413905957939864 0.934408001565888 0.302855519771311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.5430905635193 1.53373842107378 11.9221900125006 2.55768783568127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 165 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.7068290762147 2.68377563911318 36.0206015060818 6.16538162208031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 NormalsMax ZhihongEstimator 0.0269644693690757 0.0352782404242035 0.00308138606418894 0.00452400210400256 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0381823352361432 0.0462864770535211 0.00628153397687896 0.00668246289508275 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.062060136786446 0.0714812363785313 0.0178334412954175 0.013266325741803 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.128515402834336 0.139920753264651 0.08172948355984 0.0394812249015337 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.491721345849679 0.498250135139253 1.19391051436292 0.312057100103392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.905945390027719 0.905647190124607 3.9782015666184 0.83988400367538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0996563447923089 0.110251717840388 0.0507022735073951 0.0264037136987066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.226166710593866 0.235992993227545 0.268580562284734 0.0913560388992565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.529147805416108 0.533767348599576 1.44211311929345 0.353142865713401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.87949466619151 1.88218903489472 17.2402451779909 3.10187914363523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 166 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.21734058321421 3.23466225335233 49.4724295749881 8.31109306564675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 NormalsMax ZhihongEstimator 0.0222586934174218 0.0265244302701517 0.00226172206622872 0.00298502026416594 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0304005327471834 0.036426943587602 0.00367158120615348 0.00448905605233293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0478133463791662 0.0575422781768162 0.00870814741925385 0.00849145418167589 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0954105678182607 0.111645732055591 0.037231909461951 0.0229974903358169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.374642381719968 0.39762142807855 0.630778361217168 0.15817334121249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.718831480821292 0.741234894882857 2.32012626798611 0.411662763673901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0775778914661627 0.089153943750841 0.0244370456900984 0.0163530613606669 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.17421916260385 0.191126069007295 0.134276898502573 0.0522686234900031 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.422574192153817 0.441593738087617 0.814628812846497 0.189345535822887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.61579793143356 1.62552306147806 11.6964836757362 1.53818853326102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 167 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.83584587461405 2.83594274278706 35.6133628586059 3.97210789543181 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 NormalsMax ZhihongEstimator 0.154837090575697 0.152679085203028 0.138452079962415 0.13781614332322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.158922892463286 0.156502510396749 0.142451330574291 0.140287738552523 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.168743962402214 0.165996645370592 0.151999340523764 0.146124897209742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.198632728956137 0.194924526847636 0.188106197405961 0.166612646808952 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.381651339362761 0.373682750882789 0.629050106266895 0.361090738757214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.620130516540293 0.608487143373383 1.73115156447708 0.735380198619767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.18453439232425 0.182289618771528 0.168282640123659 0.157811565398527 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.246211012738205 0.242234074069612 0.28060317492387 0.218831477155098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.408065029359246 0.399008613468661 0.740688749127474 0.402530406683501 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.30960450296901 1.28080857878558 8.85350103699245 2.28692481044593 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 168 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.34066987709284 2.30402852780082 26.6449054311665 5.39591794465777 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 NormalsMax ZhihongEstimator 0.0155964851516008 0.0217664705612447 0.00110262392515899 0.00129869467887768 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0317041041302483 0.0400694542981426 0.00497849494629961 0.003799893185517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0649115470617221 0.0749450313041742 0.0216904434590591 0.0105415028164765 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.152040557273089 0.161747901612067 0.117655005047975 0.0367902437737687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.570867152273218 0.573718059909894 1.58701692528313 0.306133604770787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.01262373793094 1.01082934291433 4.9232368400973 0.832558271091913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.11745016375738 0.127744850782994 0.0732454883013835 0.0259359211924222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.272958210639995 0.281784044098223 0.383932900083342 0.0964925038404352 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.612292128673922 0.617117782219044 1.86633205920123 0.369924275150278 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.00327429054598 2.01044446718339 19.0249549939924 3.19743851475905 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 16 169 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.34834481498062 3.36697642793918 52.8945600665891 8.95544661619021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 NormalsMax ZhihongEstimator 0.0876945077852327 0.100316018219509 0.0293926148281156 0.0421056011310725 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.12604162398999 0.133137476089497 0.0657805305925966 0.0598271629394625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.208092675204619 0.205131369985162 0.195254629850964 0.111312951667287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.426101687506102 0.410453343698687 0.881820334748822 0.325403258629152 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.62881251311681 1.61487905386093 12.8603810566302 2.72658987620544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.01231649805845 3.0279454535412 42.8941073603825 7.52442705959709 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.345476278188399 0.32748262911152 0.57931865162054 0.236148613605331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.773553482645704 0.747691149547646 3.00902018135325 0.86050709081506 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.81181193173995 1.79439803713762 16.1021679113948 3.45702487814368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.38809257322686 6.42734922550536 189.153852163954 28.9085188347548 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 170 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.862011218611 10.8694885201585 536.90486228524 70.9240420591823 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 NormalsMax ZhihongEstimator 0.144161870880036 0.200819980526662 0.0669669806612535 0.247721673851257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.18034851685186 0.225830651550023 0.106018422925531 0.27023182963635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.259918800319716 0.282662926723738 0.235187818674545 0.32824129449846 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.467858822493491 0.448523890688466 0.878913556398379 0.556627854301418 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.59696256362421 1.4909900801974 11.8648504308047 3.17044999099095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.93868455048168 2.80096537042042 40.5911611906917 8.39264722677479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.383287523507772 0.383488136897953 0.563017557530385 0.451178262038687 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.784485494458529 0.732905702229989 2.69460460893283 1.07276134639348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.7644165085702 1.67125498575361 14.493822203862 3.66861582456272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.39971568554493 6.29909130149041 189.461832172021 30.1613694018772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 171 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.0601264072642 10.9347949352731 555.209182266341 73.9866609376169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 NormalsMax ZhihongEstimator 0.0680673968562726 0.105813136165694 0.0148915899732631 0.0159005268208939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.143474268712078 0.17557906290986 0.0871821678120999 0.0427487787228882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.28108808547845 0.314729377197694 0.379492946269883 0.110065068357895 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.649900396284193 0.662639511000067 2.0213874191617 0.353944838109526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.31984767967555 2.23761634408963 24.827799999455 2.87795043927368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.984593964394 3.83702681851321 72.7066901786683 7.84732256010479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.492750088797816 0.512938798851073 1.15895686243745 0.270544119154435 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.12735028007474 1.12855631503259 5.98174952065387 0.985678858911822 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.46343068701035 2.41401041349142 28.0737658489132 3.73441309422482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.83797074821081 7.53848144605471 278.216218765977 29.6210859926228 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 172 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.7350732475858 12.3732270462129 725.144832083962 70.4924739903354 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 NormalsMax ZhihongEstimator 0.115126229338691 0.163177600808558 0.0482178896322746 0.153108514333025 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.165291126684353 0.179860402319862 0.0975746224172686 0.165078178352368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.253854946026489 0.225607763407226 0.254398052850904 0.198821744290156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.468274586084576 0.387015221381827 0.989876910536657 0.367586353163937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.64298823349974 1.60505978573495 13.3187352650867 2.93719163284979 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.0356754683554 3.07765407735707 44.6444458266702 8.21305507089329 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.393106016121071 0.306617037130156 0.66785678470827 0.290348959252566 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.828373468276581 0.66168506500585 3.25419644401162 0.870483308032444 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.90525704256661 1.67361252302979 17.6894362512509 3.62817250673698 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.79073983077098 6.45503975705542 215.787300646252 32.7962057370774 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 173 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.5761817158579 11.0179220834609 613.856518989837 80.5605490511726 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 NormalsMax ZhihongEstimator 0.127859133825135 0.211782519438504 0.0718064836158853 0.241967585878304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.156059384345828 0.24165183504555 0.0979896810833696 0.271801222132155 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.220905542177012 0.306269773854552 0.190282333718024 0.344224692874557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.407298440501461 0.478787425466522 0.691400978742524 0.588753124696907 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.48399603967186 1.46816989021419 10.1527528331165 2.92489941917222 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.77526091064768 2.71339484919143 35.7257859963953 7.49562505025036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.334247408461183 0.412553363162972 0.457715128236747 0.492281922981819 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.708287250569402 0.752077539520171 2.23909324402306 1.1207314257981 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.64555426899614 1.6246113891881 12.5955676566373 3.55502854381171 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.08222117701406 5.99735374985029 170.657515936183 27.8987252198321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 174 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.6017259470028 10.4970474650549 510.287344244943 70.0309345192781 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 NormalsMax ZhihongEstimator 0.070193124713545 0.0686268274015532 0.0223071260058539 0.0197814151408488 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.11408531751228 0.113705106029069 0.0559958956943306 0.036865936314586 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.205401423239013 0.207961579236567 0.196627799221142 0.0874156340227254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.456089751237216 0.460325298388643 1.01797805836318 0.291738304126057 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.7472423599776 1.74364811229457 14.4491965360781 2.43625770783441 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.1308658703797 3.12059179298592 45.3988727206395 6.52931822074787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.355781424079133 0.359779359512172 0.627224226908308 0.20627316824238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.832494500951103 0.833396614057328 3.41531196593172 0.77691888326975 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.91196250417029 1.90301216824613 17.4212245640501 3.03260693439749 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.39782053580315 6.35554970255736 187.647120918501 25.1606108350016 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 175 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.6874973853165 10.6437386622879 515.936442035126 63.472362783839 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 NormalsMax ZhihongEstimator 0.11074188810977 0.133625019429915 0.0522924675152505 0.108772792185544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.145814237176915 0.174961210310538 0.0813735482406513 0.133003376931585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.223001453148931 0.259433915556378 0.189701241366094 0.198205356731494 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.439146914374377 0.482420902228953 0.801500130727616 0.437163498717325 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.61958618097805 1.66917627612283 11.8101326272502 2.76045647676121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.98136717445699 3.03432185914713 40.0882974090348 7.1966698859569 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.353183929696333 0.390249847054898 0.50976707126094 0.331523130891865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.773478068253811 0.813336945469992 2.65067927480679 0.941581292408127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.78637163823696 1.82515946871715 14.5368831999069 3.2651224512816 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.35180293069617 6.40494067993554 182.343973180046 25.718420374099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 176 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.9254151435778 11.0004506891288 533.363485353561 65.0342260913374 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 NormalsMax ZhihongEstimator 0.11415428803814 0.117756298112848 0.0437359737000456 0.0695213671196662 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.150551103607671 0.147551537124047 0.077726887381302 0.0845088393224844 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.231374538628512 0.217309553264661 0.207767598159375 0.12917774261127 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.457826984652534 0.425963976112231 0.940227722511135 0.323185973353407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.70070063727925 1.65133742830414 13.6141502759428 2.53811625651136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.10628396345173 3.05244728219503 44.7643561700448 6.91384128538394 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.36172866573245 0.337084278074251 0.574605604388506 0.238915315522487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.799923412247392 0.757334396457608 3.03553466599059 0.795620888531849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.84732746608136 1.79140116161467 16.2132896728382 3.03551154693392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.46465831831365 6.37512331057703 191.682671251307 25.7111095353891 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 177 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.9807393764139 10.8389553024157 544.821171952494 64.0222005127646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 NormalsMax ZhihongEstimator 0.155725894493433 0.169740860526099 0.144762255930742 0.194060585778787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.184750415719364 0.201418306038498 0.169833801981359 0.216179063844908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.250726748212448 0.270822747933057 0.303337713861713 0.313502497792184 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.434748026425764 0.458765546651092 0.940575518681261 0.695204870941062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.48098284684503 1.50024335026182 10.1317048604299 2.97428656019732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.76055495645186 2.77215751057897 35.2916784522189 7.52071848943918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.360575307149046 0.385741752532318 0.613125336646461 0.518315741221651 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.727048438241967 0.750575688702531 2.39138514375568 1.12157883728225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.65704633461148 1.66817997311522 12.8271353289077 3.63035058138486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.10876262837534 6.06962976071456 171.819061168274 27.6234246253305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 178 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.6337464355691 10.5585432261107 512.401477350737 68.5409048329189 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 NormalsMax ZhihongEstimator 0.113020599955059 0.179128457312783 0.0424609094465466 0.193620233386014 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.17623704155643 0.1884847484234 0.109362007860043 0.198430520931303 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.293396794235187 0.222223654827303 0.333857594103047 0.219883255137517 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.558968515629939 0.369692726726309 1.35466451454119 0.374117209686179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.84010659852723 1.55770455942633 16.3567438062628 3.05259695851736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.32919524050598 3.0159603985307 53.0842169192002 8.73119523202402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.432717922997628 0.297912403705209 0.806950614361422 0.249794396316092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.874307962713509 0.686864812631121 3.70148840406084 0.719159194969856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.95184223587844 1.76755180934133 18.527704391937 3.12220374819353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.72787746696058 6.67438290691157 212.398821503177 29.8367369923471 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 17 179 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.5298848289285 11.4645683691574 611.374748885711 76.138690446726 NURBSSource NURBSSource 18 180 0 NormalsMax ZhihongEstimator 0.0056163210114339 0.00266465610922482 0.00011994073009983 1.08140160669271E-05 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0250191333452802 0.0233408947494148 0.00184443333690266 0.00131766234005093 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0505675084866438 0.049344215204885 0.00880094168324006 0.0049879355226022 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.113000732040584 0.113118097223039 0.051413379735628 0.0191616457151426 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.493411457924312 0.497416376206729 1.10221411020813 0.184087085074086 NURBSSource NURBSSource 18 180 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.987579211152939 0.985483662768283 4.39920044351044 0.552015434248437 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.087625326166681 0.083825996860058 0.0284404286847101 0.011608381463431 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.204267709990608 0.2061326653671 0.177505989348965 0.0488936545236158 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.518200323582264 0.530520418488672 1.20377029486951 0.218278123846995 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.14844268439199 2.19311950627728 20.2703985465409 2.24211890456134 NURBSSource NURBSSource 18 180 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.85950981505077 3.93802073948654 64.7202911069791 6.3175079962624 NURBSSource NURBSSource 18 181 1 NormalsMax ZhihongEstimator 0.00338413629013551 0.00167136365000182 7.27168831833375E-06 1.24639649783053E-06 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0275528434276649 0.0365732444576585 0.00218310670014178 0.00357628455147708 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0552113474442523 0.0730977483257892 0.010061472765259 0.0134608357080907 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.116705673292629 0.147336711223348 0.0527947814296247 0.0467353422627576 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.466670912286509 0.493066750571091 1.01062941407119 0.313542304938184 NURBSSource NURBSSource 18 181 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.914094384798277 0.924311530953745 3.90998301523336 0.821397616968942 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0938978300400417 0.118025964756941 0.0332576969612916 0.0292207597564622 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.216055523082268 0.250297136355073 0.206833834351501 0.101708445627376 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.551298828704842 0.574323382269024 1.42233854726472 0.375468315494506 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.25879847565577 2.25625548044312 23.2285346346702 3.4214325255173 NURBSSource NURBSSource 18 181 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.05142165445385 3.98421500031141 74.7384050355791 9.78511263692425 NURBSSource NURBSSource 18 182 2 NormalsMax ZhihongEstimator 0.00120117800251994 0.00310354209637577 2.47457386902201E-06 3.69831666047959E-05 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0172903148141545 0.0257636640351819 0.00113237991161156 0.00182829062616771 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0355758785315516 0.0519954486126755 0.00517659696819666 0.00672241897141197 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0767726758965791 0.110392315357405 0.0266939621830214 0.0253053031003486 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.308935541211805 0.397084753412168 0.482772473640806 0.212159551500902 NURBSSource NURBSSource 18 182 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.631045666281079 0.728834300327208 1.96684069010973 0.5595701500913 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0607055840732011 0.0764149105184601 0.0159285450732208 0.0123158617282148 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.138012261595893 0.173526118047096 0.0897885674208074 0.0480648482631388 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.340023887531768 0.412162202660452 0.569920546749283 0.197841396726306 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.46621345579372 1.50844066316535 9.98395331649946 1.70800039256316 NURBSSource NURBSSource 18 182 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.69635436516303 2.6402876485174 33.2402068954743 4.44664263105581 NURBSSource NURBSSource 18 183 3 NormalsMax ZhihongEstimator 0.00136275483376758 0.000816061905233699 2.9363158951874E-06 2.07274437133454E-06 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0117301472928835 0.00950911127544495 0.000388235753592989 0.000207610626147151 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0245185710836732 0.0202002719522127 0.00199436427700218 0.000771579454956757 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0555624434023936 0.0482208689210388 0.0121400826155886 0.00315646045808316 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.240123619084937 0.2342605326304 0.258149942346716 0.0339404287060846 NURBSSource NURBSSource 18 183 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.478132682388911 0.476304047995889 1.01420374622426 0.0994477423494303 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0450505636305027 0.0370620058836064 0.00742752006714528 0.00200250771504241 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.110364241152109 0.0979747393760022 0.0502138280414208 0.00892567089012209 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.283906120948734 0.269535417701971 0.346328621135333 0.04117841534977 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.12792557776015 1.12062391579438 5.44771270564104 0.408226269680399 NURBSSource NURBSSource 18 183 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.00207167281628 1.99865990600336 17.0579451388275 1.12700124942392 NURBSSource NURBSSource 18 184 4 NormalsMax ZhihongEstimator 0.00143389801548272 0.00142071922146959 5.34372661129037E-06 4.27391265773089E-06 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0151113804248439 0.0118593353253662 0.000706838152575994 0.000287784995415118 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0313733628657761 0.0255026457611135 0.00341845440418313 0.0011328288645101 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0695619210321895 0.0604913319974883 0.0191056871198758 0.00463409583222808 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.289866994047105 0.2822068011687 0.370827128992216 0.0485778207287256 NURBSSource NURBSSource 18 184 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.569619270381999 0.565793279113577 1.42953384128641 0.144828195603801 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.057439708735796 0.0472845610685429 0.012986636239268 0.00302028792889008 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.139193018048305 0.124865043182816 0.083725441016687 0.0143812857828648 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.346212754926755 0.331023408822788 0.538518140173062 0.068721870312061 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.3500940313228 1.34079260444464 8.09840149915752 0.712539312100224 NURBSSource NURBSSource 18 184 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.38508332950436 2.38181000228203 24.9579797193317 1.95053429703071 NURBSSource NURBSSource 18 185 5 NormalsMax ZhihongEstimator 0.00197559847906238 0.0012073500975193 1.36836959765088E-05 1.25971853495931E-06 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0529739100516294 0.0132253104875523 0.00806554065342114 0.000353026379866787 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.104652679345262 0.0289451915010243 0.0327185544118746 0.0014929612303107 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.20258478490204 0.0736067686505872 0.133786425874694 0.00766663615740712 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.555147545414967 0.407021423300372 1.32403302484669 0.14048957106925 NURBSSource NURBSSource 18 185 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.935950460397758 0.841148749857843 4.11910167163654 0.483787702173216 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.162383660276117 0.0560223713078326 0.0829790879305012 0.00531039028934165 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.306901468245744 0.156409295009811 0.343160534714827 0.0293580480022999 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.589866804474071 0.456153656841327 1.51891575425228 0.172977363286486 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.94121871733467 1.93668781020362 17.6487216135441 2.06386265530926 NURBSSource NURBSSource 18 185 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.3111470510203 3.40128965035987 50.5334234517111 5.78938939470395 NURBSSource NURBSSource 18 186 6 NormalsMax ZhihongEstimator 0.00114483172450936 0.00160192036634908 6.20009132809009E-06 1.15448291578163E-05 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0345668633900345 0.0160746748376429 0.0035395290018762 0.000670814380990102 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0694577747686309 0.0329538009871675 0.0151463822321116 0.00231139968901075 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.142136070872818 0.0748444064435009 0.0703576340883988 0.00837725300654899 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.487401595658377 0.394009280990431 1.02353259550273 0.0994432226367758 NURBSSource NURBSSource 18 186 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.934537618640835 0.851466917142614 3.88565440920059 0.34427499618122 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.113979368958521 0.0573307310250509 0.0428806726413625 0.0058348464655913 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.23868159330916 0.149218271015749 0.216933122636203 0.0252309047278944 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.535427078371737 0.438706391674948 1.24121277051248 0.132654011002282 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.11426090567846 2.04482936997899 19.9750261133106 1.68766013921844 NURBSSource NURBSSource 18 186 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.81135831236502 3.73017482827118 64.178877310935 4.82510713207786 NURBSSource NURBSSource 18 187 7 NormalsMax ZhihongEstimator 0.000599100378350545 0.00449837241882637 1.80281321227044E-06 0.000136710154080503 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0110238599300071 0.0196416039675479 0.000383192851504901 0.00114878734172984 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0228129953118508 0.0389425209157831 0.00183030701549399 0.00379734590562284 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0522922731812471 0.0807486217409981 0.0111452787391452 0.0132710876837459 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.260940093336317 0.308147181708485 0.312009871168913 0.11248549190589 NURBSSource NURBSSource 18 187 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.558708195072577 0.609683598919979 1.41811088950674 0.319313089607354 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0441579382627946 0.0695549894491135 0.00838704002660391 0.0102386096505038 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.120042064026862 0.154295755768219 0.0676807774207949 0.0375317164120129 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.345949195535769 0.374032705885056 0.563570240901417 0.149113804445931 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.57683682200289 1.56755363930685 11.143320897977 1.36223524544303 NURBSSource NURBSSource 18 187 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.88370538197647 2.8342745249013 36.664155979492 3.59782149501912 NURBSSource NURBSSource 18 188 8 NormalsMax ZhihongEstimator 0.000428444823620145 0.00278263096557605 8.0008050815246E-07 3.40314331562671E-05 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0142061410540286 0.0243733105030691 0.000636681708549966 0.00173475942983484 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0291570804280271 0.0483244342973058 0.00292074450380986 0.00617885431975354 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0637532356402332 0.0975093012551617 0.015976449204382 0.021730349446745 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.289048885208241 0.338122175099744 0.382494410613194 0.157991394861602 NURBSSource NURBSSource 18 188 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.617781762466002 0.651429358684558 1.75038262192882 0.404727436904459 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0468806189417233 0.0801813248767542 0.00873578346759765 0.0154398097551728 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.110044642659744 0.171123770108495 0.0552273902468518 0.055867035505999 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.306996996402806 0.392972161788307 0.441550871615622 0.202423309853545 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.48249758152787 1.55132546769972 9.78642709588533 1.5775205820346 NURBSSource NURBSSource 18 188 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.79436856385384 2.81954350869415 34.2627157159337 4.031389987135 NURBSSource NURBSSource 18 189 9 NormalsMax ZhihongEstimator 0.00074293429588694 0.00484234696774785 1.04372379784502E-06 5.93052589695634E-05 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0275454131986272 0.0156179229909934 0.00228000739942678 0.000457101441998234 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0571899878264262 0.0333575594884011 0.010701223492936 0.00169250219690328 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.120410075092073 0.082012450823555 0.0533736742165693 0.00725546670208939 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.43964530167875 0.382356617422345 0.805553480850831 0.0780349571857196 NURBSSource NURBSSource 18 189 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.824068058408405 0.766915638693087 2.8913812545666 0.227388278885994 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0945109604031263 0.0594975565121455 0.031615765753537 0.00459940869618 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.205304553763202 0.15437949535552 0.165926579533415 0.0195342131153379 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.468679282454745 0.415253159969394 0.927802456314242 0.0832890412633923 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.78540647569243 1.74866012282983 13.7386951903083 0.841845360524397 NURBSSource NURBSSource 18 189 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.1932337196746 3.15354447261131 43.7302367747483 2.42523253312232 NURBSSource NURBSSource 19 190 0 NormalsMax ZhihongEstimator 0.0033748816046152 0.00113293278927542 4.0561937123288E-05 1.48513477926117E-06 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0257894549760224 0.0203564852676805 0.00208989575135078 0.000852926126765002 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0540673920246614 0.0443399035003366 0.0104397231945445 0.00321643729822814 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.124216573851263 0.108755979702508 0.061942197256284 0.0131233904213601 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.533310296723543 0.516289801624779 1.26830695648218 0.153177809629683 NURBSSource NURBSSource 19 190 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.05024313153105 1.03717948344405 4.92946826751327 0.496928940444009 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0897363043516417 0.0814012922372274 0.0320107445861132 0.00926662787636997 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.221210396988351 0.211331643512985 0.21407801228061 0.0426533903250775 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.569207238857911 0.563816352745115 1.44717415988266 0.20149672096963 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.29059525286847 2.30915445490877 23.0670345767545 2.13290089420606 NURBSSource NURBSSource 19 190 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.09708541877086 4.136993363814 73.2103762635205 5.99784569677516 NURBSSource NURBSSource 19 191 1 NormalsMax ZhihongEstimator 0.00153826271828828 0.000974388784831678 6.94987021796816E-06 3.98993406161001E-07 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0463768456482083 0.0276555454433676 0.00613838044610367 0.0018171435539651 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0919959957154292 0.0572628892089586 0.0264747893759168 0.0068749123284675 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.181753333901287 0.125937251854363 0.121288783117064 0.0264934312651748 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.609051329100971 0.563561147693792 1.69777143549512 0.273585297910258 NURBSSource NURBSSource 19 191 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.13262264154601 1.12315601248264 5.97423514326704 0.813663887273912 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.155014060323918 0.101079091533906 0.0813739080130542 0.0178593855998924 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.31215375890506 0.239544509094773 0.391804465430783 0.0700714841721717 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.689359605084839 0.629913455503521 2.13492617779907 0.311519691848557 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.57572288869075 2.50485102079607 29.5300650335938 3.1096481530727 NURBSSource NURBSSource 19 191 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.48247726003174 4.33406616859032 88.565222400281 8.51461844849398 NURBSSource NURBSSource 19 192 2 NormalsMax ZhihongEstimator 0.00157428539184677 0.00209460321581688 8.17715814903184E-06 1.49346127172686E-05 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0132416992794537 0.0208272913063663 0.000670406026073876 0.00111442515311324 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0288363135342664 0.0434644042437822 0.00358317746491143 0.00419377733108045 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0704787027650273 0.0977814550658146 0.0242031542661268 0.0171659676158585 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.341365905163873 0.392257906705454 0.590508414277941 0.189151043078595 NURBSSource NURBSSource 19 192 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.690528766615751 0.745955094325498 2.35551322678583 0.561657434237931 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.052154433349102 0.0723444984458385 0.0126526843155956 0.0113143632080004 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.134810722116404 0.169431976333564 0.0922283742399135 0.0489795203452411 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.365792230702137 0.413871616345227 0.677577790294395 0.21932269256084 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.59336918150216 1.61684188590747 11.9687959141467 2.07536790137632 NURBSSource NURBSSource 19 192 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.92298102139346 2.89191945873478 39.5365401665726 5.52071125855515 NURBSSource NURBSSource 19 193 3 NormalsMax ZhihongEstimator 0.00118217161187856 0.000697413519930202 7.24456596716033E-07 1.69033856843795E-06 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0235404469080479 0.00849296613060258 0.00153868891459058 0.000149493604326474 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0471512312258718 0.019920721027119 0.00690960705056867 0.000603605769512446 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0970391343917379 0.0545660796433503 0.0336298655332472 0.00304087584598945 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.334805275942857 0.295903033123304 0.487773758658803 0.0448380761395964 NURBSSource NURBSSource 19 193 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.620509935706843 0.59872617651178 1.7134215834624 0.143755472819497 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0725925585374931 0.0423477615888519 0.0185864390737244 0.00219171680229814 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.156638149530232 0.122409315988373 0.0996758005772894 0.0120604900485556 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.362860483865664 0.34729359997489 0.577684926094307 0.0617321473749089 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.37715439267574 1.41234138600506 8.24873753650217 0.665095531257434 NURBSSource NURBSSource 19 193 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.41511786304201 2.49019388541499 25.0848057792395 1.8736915480724 NURBSSource NURBSSource 19 194 4 NormalsMax ZhihongEstimator 0.00104625502387055 0.0015696262696722 2.06665207621378E-06 4.60090871761907E-06 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0260399699122025 0.0107671954331062 0.00192440758896879 0.000212322110437297 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0526323150175854 0.0250806630497424 0.0087463791028968 0.00089972267164456 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.109069315988657 0.067710621438746 0.0432037327267383 0.0044647030894465 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.38508762825236 0.346448349594254 0.646638608933012 0.0616709242820793 NURBSSource NURBSSource 19 194 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.721316075713482 0.697171518707121 2.30190208903545 0.19365691711702 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0832874712260241 0.0483255493278091 0.0248702785393134 0.00267079543155033 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.179215858702252 0.137413924128094 0.131679338315853 0.0147381766999159 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.411586704738704 0.375076270682201 0.745343777002525 0.0772960330484865 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.51907848765474 1.51545650787882 10.2218065144941 0.848735989050136 NURBSSource NURBSSource 19 194 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.66597606765736 2.68686247455081 31.1643718811517 2.4295210162209 NURBSSource NURBSSource 19 195 5 NormalsMax ZhihongEstimator 0.00176737872175038 0.000440635646352157 3.35983260630016E-06 4.07249577918058E-07 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0280905549546331 0.0109765856616629 0.00217508308126868 0.000246012640863432 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0562863934565726 0.0234805259161059 0.00953197714790903 0.000919662375167572 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.114435727094495 0.057208083367931 0.0442228713887071 0.00373898079366743 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.384135291836895 0.315533312948737 0.615766659704311 0.0516991120125175 NURBSSource NURBSSource 19 195 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.72298548574047 0.669606670999533 2.25263618196574 0.181971340559449 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0940643250064431 0.0427005868773385 0.0293191097193932 0.00248400423853109 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.193638413366975 0.119486671254108 0.142479895954001 0.0112996350030757 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.425539011966102 0.358145514505906 0.777515853623423 0.0613631357019276 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.63179453322301 1.60201924212409 11.6948437274621 0.809246997877391 NURBSSource NURBSSource 19 195 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.910874295951 2.89468189649374 36.7467545238332 2.43178530680645 NURBSSource NURBSSource 19 196 6 NormalsMax ZhihongEstimator 0.00157897650890557 0.0008311622564882 7.48661402852677E-07 2.81520271176034E-06 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0234132437812189 0.0184865303912138 0.00150435567505001 0.000845627937474628 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0481372155527936 0.0383442333124027 0.00714903857341546 0.0031120237006358 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.104379530462985 0.0855838184171308 0.0388283051111765 0.0118167143887221 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.428861065680304 0.393490017670051 0.792460495318223 0.121323028707107 NURBSSource NURBSSource 19 196 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.867019992721759 0.826134085004713 3.30656633830614 0.376786628437571 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.082464099254029 0.0622965766496475 0.0230964122981955 0.00727435724208681 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.185569491574206 0.152878765983284 0.135190324184988 0.0300378509496063 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.463548719197173 0.417678826743368 0.918125673987292 0.138698946676147 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.95460916382276 1.93357843976472 16.7167731195779 1.53512908127342 NURBSSource NURBSSource 19 196 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.58359371559476 3.57853936010614 55.6470700808981 4.3752935630848 NURBSSource NURBSSource 19 197 7 NormalsMax ZhihongEstimator 0.000619675378061701 0.00161593507910789 4.51193639156195E-07 1.5073742321501E-05 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.00979451003250122 0.0339306917888671 0.000303549342420321 0.00304678533070697 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.021408410806164 0.0678605383765743 0.00173248782617871 0.0111799070344354 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0545989439523084 0.135277172174298 0.0135700451733215 0.0381947014023818 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.326291035248726 0.424951683877825 0.50125587189208 0.232723821865018 NURBSSource NURBSSource 19 197 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.709259335793582 0.782451818933831 2.30391651682605 0.585292303746457 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0428502709282861 0.119419106939862 0.00806720885086018 0.0326657055425659 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.129553750134766 0.240522435675481 0.0798669392963104 0.106943881069617 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.397564384018975 0.504944086517956 0.746572650962098 0.340687278491563 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.80996786876255 1.83879025871476 14.8334680706984 2.50180969195264 NURBSSource NURBSSource 19 197 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.26743842090955 3.21966735876286 47.775218837951 6.28981682319581 NURBSSource NURBSSource 19 198 8 NormalsMax ZhihongEstimator 0.000239384642400371 0.00114301774045802 1.06267504274524E-07 4.69435452692301E-06 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0109140694287044 0.0460137142371811 0.000394321131700544 0.00567021078569145 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0229771373949253 0.0917441490501331 0.00204565478024275 0.0215100417036571 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0577000240891455 0.182233563935804 0.0147738365699704 0.0772190551411969 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.359756767051263 0.539451597338198 0.595397493011337 0.479511927390185 NURBSSource NURBSSource 19 198 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.800736211579108 0.942640106052625 2.90266618201641 1.1152218731125 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0407345197994429 0.140172620989764 0.00741042370270477 0.0444256529183338 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.118513710161459 0.280677459855533 0.0676046033164123 0.150095715834682 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.383036925178511 0.57053098887173 0.686229207186513 0.451691341040057 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.88056364752766 1.94627813630058 15.8463687969112 2.7673263429291 NURBSSource NURBSSource 19 198 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.45038039641983 3.49450166304366 52.8895918799974 7.1251926912749 NURBSSource NURBSSource 19 199 9 NormalsMax ZhihongEstimator 0.00105313784415051 0.00211195166524304 1.27056344990011E-07 9.38335884239599E-06 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0195093322156294 0.0159075926657331 0.00113322451042247 0.000488430986861342 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0421911065638291 0.0347096005386228 0.00596576389483664 0.00188000054254845 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0953493937901135 0.0837690316813943 0.0343536226267179 0.00754314654109415 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.385482652341651 0.373728476091051 0.625301610188994 0.0648868140124973 NURBSSource NURBSSource 19 199 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.75032057386722 0.742612259139636 2.39359933264796 0.171596121016611 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0755342635760959 0.0702095651359726 0.0218411716517639 0.006501885836377 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.181587443714245 0.17425225082179 0.136255119890067 0.0271028361563579 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.449241433849547 0.441235487995202 0.865420227451891 0.112486967178303 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.79731157427221 1.782933374771 13.8365111911371 1.0772519971331 NURBSSource NURBSSource 19 199 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.23604665634789 3.21145973818123 44.5866015195109 3.02086839843135 NURBSSource NURBSSource 20 200 0 NormalsMax ZhihongEstimator 0.0350119492036094 0.0225224976454386 0.00472080296423453 0.00172346071762064 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0538792992829268 0.0374654714590376 0.0114743394035966 0.00339124091069608 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0891195514433219 0.0668818224187098 0.032521204639838 0.00875124359692625 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.18128748373738 0.147018216827416 0.142477172101533 0.030709327598525 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.683691625398333 0.639883682106463 2.1994429793913 0.336674652483834 NURBSSource NURBSSource 20 200 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.28652144762656 1.25167710625379 7.84661630934691 1.0889583368465 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.152302575234514 0.123277651597581 0.0990872517857222 0.0251143042965588 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.348096474170011 0.302971696399033 0.546644400968252 0.106718722518478 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.827849688726305 0.76823083387943 3.1993137900197 0.50121346958812 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.02167606431696 2.95290940729134 43.0289505930539 5.2968006936375 NURBSSource NURBSSource 20 200 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.23006755589787 5.16589170625951 126.689761007712 14.9984046310234 NURBSSource NURBSSource 20 201 1 NormalsMax ZhihongEstimator 0.0736309615813313 0.0403126147057644 0.0168130785646284 0.00537359491565455 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.107292277068574 0.0610100928101198 0.0362950004578986 0.0110318119840404 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.170428759093446 0.101822721322259 0.0983380425381379 0.0245907222998132 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.313062600329432 0.205839205279504 0.379020660577539 0.0765353822334993 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.962404556398532 0.820596267514951 4.46224040388981 0.764304753672793 NURBSSource NURBSSource 20 201 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.70718257269156 1.5577244531254 14.3746624649966 2.27534462336114 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.244693081271396 0.148713740962491 0.219620728754617 0.0460690693297027 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.467107468667365 0.344755185383471 0.936706669404097 0.200024603337763 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.96625369264142 0.846017018888508 4.51527288158456 0.931853510940397 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.27061163168291 3.19923621382678 52.6797801570283 10.1460617816418 NURBSSource NURBSSource 20 201 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.47079301432271 5.56153452466627 143.956058078068 31.924416499833 NURBSSource NURBSSource 20 202 2 NormalsMax ZhihongEstimator 0.0176642083772835 0.0534622594756822 0.00107655448302128 0.00967843735143059 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0267499159313542 0.0644089444103235 0.00288427301563533 0.0121706408714224 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0451819928958213 0.088007126593273 0.00959504693578431 0.0190343961690517 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0967581597158327 0.153196632007179 0.0500596458046352 0.0454099108596043 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.436372084405742 0.525929244872606 1.00130489260554 0.348449134660842 NURBSSource NURBSSource 20 202 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.870823071429999 0.965736024113533 3.81981947383519 0.968289769224722 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0741031306582533 0.123588815016078 0.024571054815593 0.0361173572819502 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.176678942317998 0.248365012647258 0.153876521982062 0.110385194015596 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.462655338844255 0.550435391290668 1.05982742514036 0.397686161384641 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.90563001159015 1.97716500729108 17.173754274182 3.29620025848956 NURBSSource NURBSSource 20 202 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.44213715177371 3.44703591078728 55.3227771273271 8.73939290287174 NURBSSource NURBSSource 20 203 3 NormalsMax ZhihongEstimator 0.0270186289992292 0.00863169922372633 0.00189918606264678 0.000208289813245838 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0442222824360258 0.0160054783039367 0.00569051150932297 0.000542480534381548 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0745390599202151 0.0318947038904082 0.0179425473524153 0.00182249296079823 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.14052649001126 0.0829390007108465 0.0745556791417323 0.00944635095723731 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.462466075648335 0.412594862130019 0.960006885937488 0.138204398618899 NURBSSource NURBSSource 20 203 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.830664531971057 0.803974954983255 3.16367941892188 0.426184452402823 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.113292730877955 0.0631808332555196 0.0470880713248313 0.00542873273343477 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.230159285547709 0.173822824484098 0.224237271384144 0.0291619461397649 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.501608856477165 0.462460396384457 1.15664658543144 0.147349962497924 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.76296828886089 1.76278080631146 14.3118119692284 1.57779334599665 NURBSSource NURBSSource 20 203 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.04574478093139 3.05764963050904 42.6717420046741 4.62243163770209 NURBSSource NURBSSource 20 204 4 NormalsMax ZhihongEstimator 0.0353190761809017 0.0154875447727676 0.00386286151561443 0.000814597935828673 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0522286474375173 0.0226580419608745 0.00811672018545868 0.00133575402396033 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0834829722664764 0.0390550044217464 0.0225585188888017 0.00296384513247272 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.15605279926796 0.0902589474259743 0.0906275119714501 0.011256952823915 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.492881699954349 0.416035736953745 1.11136839522834 0.140872784110894 NURBSSource NURBSSource 20 204 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.884703018110511 0.815462268431734 3.68132899627762 0.44349156761752 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.133947041679063 0.0782831899886642 0.0670949331028293 0.0102770374267256 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.262528695102639 0.204823677456998 0.298365591267156 0.0547880429006798 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.565614870933546 0.521721145723067 1.49975277578032 0.274814938561376 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.988264398603 1.95335970433873 18.3979154536577 2.76115087817176 NURBSSource NURBSSource 20 204 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.41856237154104 3.35977361371256 53.7123219270917 7.43933703742563 NURBSSource NURBSSource 20 205 5 NormalsMax ZhihongEstimator 0.0552458529008574 0.0104837650582855 0.00787832393526304 0.000254615691575748 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0703778513321408 0.0182666490476484 0.0136901500052248 0.000734474765824412 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.100471731786617 0.0341544855930501 0.0311465086371318 0.00227516533416686 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.174601993311476 0.0830963224388781 0.107317393905883 0.0104477348037358 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.518673224374645 0.435312731414027 1.18917286127732 0.171319404835341 NURBSSource NURBSSource 20 205 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.924955577863064 0.884815359641815 3.9412607326749 0.580998734341921 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.165580464041167 0.0629832396327626 0.0877467645467858 0.00703015022922636 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.302402957131957 0.173397704088055 0.346496217726751 0.0388534985026553 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.601721137623622 0.490397834584228 1.59337867766137 0.21717407158001 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.05762997708062 2.03444729579429 19.4096591070821 2.4457049114298 NURBSSource NURBSSource 20 205 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.5124675428138 3.56752414484786 55.7676111430247 6.55837622388633 NURBSSource NURBSSource 20 206 6 NormalsMax ZhihongEstimator 0.044442553607625 0.0254367735614762 0.00615993975465708 0.00172209085799409 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0627033177346212 0.0372309148010143 0.0118719833244452 0.00344138460977919 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0972439506181196 0.0609112464512239 0.0299812446091868 0.0078962441566649 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.180385469332335 0.124375533456741 0.115334965325941 0.0258481494486468 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.610913755571694 0.54198979867844 1.60888662728514 0.290441726089946 NURBSSource NURBSSource 20 206 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.14812696263673 1.09999259094312 5.87854674267532 0.949755834569797 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.129284197941014 0.0998501002312338 0.0602716514250196 0.019201221752017 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.273892061096162 0.227261861606912 0.30565799565194 0.0733210984284944 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.651804530636276 0.586654463303898 1.86699927381518 0.328963375560767 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.55381376158063 2.4893281047951 29.0767496691276 3.49548242338342 NURBSSource NURBSSource 20 206 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.52547823801347 4.46309342689035 90.4434701881029 9.73941012057649 NURBSSource NURBSSource 20 207 7 NormalsMax ZhihongEstimator 0.00969624212259134 0.0696696054375461 0.000331417192559246 0.0141962116899926 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0174194782593187 0.0971075762052244 0.00116481687112469 0.0265913754372003 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0347075435424702 0.146224679389725 0.0054304520541132 0.0580613526607091 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0920112099726985 0.255895777771879 0.043320034544604 0.161389208998727 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.516435066538861 0.729789547630669 1.32965207281185 0.93811235593127 NURBSSource NURBSSource 20 207 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.05683806430611 1.24977305777418 5.4132846745916 2.24326767109177 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.064884093904377 0.189537747851792 0.0195235848525634 0.0874800272817585 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.196354671260586 0.347533845030511 0.191252727873954 0.242009243885659 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.57858226261354 0.710652283524003 1.62352535231138 0.752581013168303 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.44299462316182 2.42368917224146 27.9556437527833 5.45360811871046 NURBSSource NURBSSource 20 207 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.3551300521579 4.17741531938148 89.8585026309071 15.2189057558641 NURBSSource NURBSSource 20 208 8 NormalsMax ZhihongEstimator 0.00907433539243038 0.119822184462559 0.000325193970620141 0.0470211837504543 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0162683037603641 0.137379475760617 0.00102425433162297 0.055369349193125 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0308838182332133 0.176699649569568 0.00394298211925568 0.0831044505491589 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0777912050290681 0.2810681842277 0.0276254736010977 0.183950223171269 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.472382245231323 0.742204135145345 1.05906799811493 0.900402380722962 NURBSSource NURBSSource 20 208 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.01533824153922 1.24904192923876 4.83011849535864 2.03571804425251 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0588775990154974 0.274576404203521 0.0165640812082779 0.205778621217922 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.182321955390526 0.472705361036239 0.169467200260675 0.533971955893467 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.568785630838055 0.854892773361998 1.62257902043004 1.45626926493085 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.46012767052507 2.61676847484595 28.7526513037332 10.1388011281049 NURBSSource NURBSSource 20 208 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.27534736082505 4.36168435159301 85.0603156479889 20.5735243886717 NURBSSource NURBSSource 20 209 9 NormalsMax ZhihongEstimator 0.0235884895811498 0.0209755862786025 0.00151015887539635 0.00123371931707088 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0373927632849744 0.0345367401740628 0.00424690029182058 0.00264762994651193 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0654661842942906 0.0609956486076359 0.0146810382248823 0.00660333854847865 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.135493911042662 0.128933381977388 0.0713321032463213 0.0220649023334732 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.511875586541377 0.50082204519294 1.13164911897294 0.18017176188496 NURBSSource NURBSSource 20 209 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.972895578798859 0.959218048281005 4.11105980026902 0.498262982388248 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0979478488438158 0.0878064745897929 0.0366340449416742 0.0103852464776089 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.22204450714033 0.210414502950982 0.207144102651918 0.0412659789397404 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.536630688371149 0.521032058727 1.25614699848011 0.177860524640832 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.07357485757448 2.04575294781318 18.8115740615301 1.83374026319367 NURBSSource NURBSSource 20 209 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.68753383998402 3.64246898063225 59.3996782613818 5.30977158181768 NURBSSource NURBSSource 21 210 0 NormalsMax ZhihongEstimator 0.170547155627649 0.115246007936903 0.137438524024309 0.0724368812098585 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.264818810578823 0.239864862618517 0.417478230987043 0.498205222119631 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.439423745743291 0.439623194426311 1.46295593275213 1.89956732673288 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.863422287296877 0.918388455336955 6.05036265792699 7.13573752580466 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.83960765723025 3.06488443504539 60.6809358473963 51.2931472547599 NURBSSource NURBSSource 21 210 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.56783449497042 4.88906724445151 151.201688494252 82.6639991014471 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.861168742718819 0.884594353441868 7.87830502300832 4.40734564873198 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.79457240368704 1.87700810830407 40.3567155886541 16.1126763320029 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.84477596390184 3.76673815852005 192.008701562251 47.7449895633526 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.79717761396478 10.4162569229495 476.24063896832 380.95763093344 NURBSSource NURBSSource 21 210 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.0926667076123 14.6621735949983 831.068527087782 949.159268737811 NURBSSource NURBSSource 21 211 1 NormalsMax ZhihongEstimator 0.342949603917411 0.289674742078759 2.13384031554001 2.61732253444938 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.55328292737337 0.650590435160719 3.43818548498533 10.9885628093322 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.928573005824838 1.16428484895673 10.767399658604 34.8330299485402 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.73437754646345 2.19343599196061 40.6375397528661 107.782138776543 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.43254182446804 5.90861429604762 468.246065047751 555.593226115799 NURBSSource NURBSSource 21 211 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 9.08738827958194 9.28372562694629 1416.65667795247 1246.9153391435 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.77890296098834 1.43255000919071 288.994179555509 77.4890579313494 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.65400059725845 2.88484955771655 1231.9606139018 348.134823544316 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.32706405667838 6.02162903620156 1309.64006403979 1652.54236987344 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 22.884312085855 13.6258454325187 10576.4490918381 2945.29965205678 NURBSSource NURBSSource 21 211 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 19.9852142091717 24.0132363753547 4176.71930689495 30488.0438290803 NURBSSource NURBSSource 21 212 2 NormalsMax ZhihongEstimator 0.118936399331074 0.265398514594073 0.586485987970392 0.67629739160303 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.479139967452014 0.401666191618114 59.8659037405935 3.14068282066112 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.874697848206751 0.608173979428148 221.029115782251 9.91875164185161 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.5604925080112 1.07869534909591 597.256643016955 32.3565133347017 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.13497225914981 2.78019309347807 743.384217483124 94.9418331111101 NURBSSource NURBSSource 21 212 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.49114313099118 4.38750267585516 581.955399846029 169.706981289405 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.93046429814755 0.663813976034926 484.442981850624 3.12300337525718 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.44489851422044 1.2662180662072 1112.11917098006 10.3564728752244 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.94674080599537 2.46843745740911 2838.00129086992 34.820674244301 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.71834399148266 6.9635651756872 1093.89417630683 261.265043200658 NURBSSource NURBSSource 21 212 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.3324466764156 9.2342623915774 1423.79331326653 296.869590041395 NURBSSource NURBSSource 21 213 3 NormalsMax ZhihongEstimator 0.109812342226821 0.0692071141882617 0.0572285927552483 0.082965979737003 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.313657883786791 0.326701587537392 1.45761343629513 2.65688923935702 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.569087243413659 0.593655646808867 5.60496928658072 7.92658897070077 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.06665282598268 1.08212648169793 21.3074711462608 24.0547685786242 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.13566027119105 2.89677342113575 164.929692778022 134.001284477513 NURBSSource NURBSSource 21 213 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.62590022010257 4.55858419612791 236.998460316188 242.466455595283 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.829653267339989 0.902395928646309 10.0552651342594 14.7350189762866 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.60382864373651 1.80902255152079 35.8867857663767 47.923922407263 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.14571163290931 3.54637548838061 118.669885538704 146.207213765884 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.64440546748151 8.59673655434758 541.411517400911 630.367599797572 NURBSSource NURBSSource 21 213 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.2597089131481 10.8159476665013 1629.55677476817 671.196358212556 NURBSSource NURBSSource 21 214 4 NormalsMax ZhihongEstimator 0.139043039023358 0.0953516651482863 0.152514881282685 0.106538520955714 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.355958006553403 0.218591310346405 3.14537553877493 0.694227063199645 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.559120708774065 0.42940009515076 8.93378264382986 2.8237288114081 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.07490348443905 0.937662814696538 33.8374302375153 13.5103960125842 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.30962955626702 2.95729314737772 260.315961531822 120.608855622304 NURBSSource NURBSSource 21 214 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.9794821787846 4.23486719041446 413.412553859713 164.079837388493 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.810356429626235 0.577603371952259 12.9280590228388 3.53036247837438 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.53252630520019 1.13981371046344 43.7869789150514 7.47930066746245 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.03014985748553 2.40223929852624 151.964000158565 33.5095153814512 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.0351888472496 7.52229856371134 293.851647629699 440.773742865961 NURBSSource NURBSSource 21 214 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.01924068960687 11.193319178368 683.756226711455 1685.22189637536 NURBSSource NURBSSource 21 215 5 NormalsMax ZhihongEstimator 0.171561299355309 0.076900903302878 0.166691278972386 0.0916261391909348 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.320281416308277 0.235655393216512 0.889521007737345 2.89590081917973 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.542519446085413 0.491176626264171 3.18335495037239 16.5579089869333 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.13119345916543 0.763404355409141 27.3343640481935 9.25048786852606 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.21405925122151 2.38137716205172 175.468186105955 48.0572387044285 NURBSSource NURBSSource 21 215 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.98038553707319 3.80734876065931 429.900022039019 96.0339901548722 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.16904191788685 0.706035384429107 26.6203965572745 10.4727067179004 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.25662695662534 1.42054226545525 108.988078370284 28.7995795577655 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.07150912590922 2.74050365694131 291.20964382897 62.5843859734224 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.07124808596891 7.37205048217687 1208.93034314625 246.186371029769 NURBSSource NURBSSource 21 215 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.0996445450071 11.3112038385282 1884.34368371309 1730.10411426673 NURBSSource NURBSSource 21 216 6 NormalsMax ZhihongEstimator 0.161530857624606 0.163958471420286 0.120161369522633 0.69128655358571 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.332805492041736 0.232557940506721 6.75538404572 0.813706118926399 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.6099448344255 0.394007420951714 36.6562975768559 2.12533654090868 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.23726563443884 0.765940470103436 183.006045349407 6.48453129482211 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.94086958546148 2.48329038202387 1864.86716142991 40.8855635540037 NURBSSource NURBSSource 21 216 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.25689093774288 4.5886473596462 3761.60504297404 184.992798248419 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.80272990962966 0.692073809899392 846.165811608368 2.61359820432225 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.38555640172555 1.47497536100859 2704.51803400613 9.36292171353866 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.94511355934053 3.22122901822492 3099.55501806893 41.2710448400764 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.4945102200601 8.8973466076825 939.034168024137 227.66427337199 NURBSSource NURBSSource 21 216 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.810074338523 13.4845096718568 1221.54897957793 402.179411718009 NURBSSource NURBSSource 21 217 7 NormalsMax ZhihongEstimator 0.127881349056074 0.236595664283761 2.41889049563654 0.261947659727356 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.376761014277567 0.422250401161666 29.4576794301352 1.36314298340308 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.752044453738838 0.657406211541825 109.995159552206 4.21337950973107 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.775354856423841 1.19068560497884 8.40086395621581 15.4703450243636 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.54092087595525 3.34119641413789 72.7626983944457 115.91388021673 NURBSSource NURBSSource 21 217 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.63445352043887 5.44475334456195 251.719865659393 300.141290625255 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.989004246152295 1.75273241088892 91.7023577857619 408.409283726704 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.99594168256368 3.06671101245278 215.293710566038 1230.49057541006 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.69559143635589 4.86385235788733 489.855695198813 2189.97908398743 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.92285327056457 8.3977297265369 1262.50931963936 784.188867995116 NURBSSource NURBSSource 21 217 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.6971033897433 11.6019784902094 1499.41114078634 1090.96615651464 NURBSSource NURBSSource 21 218 8 NormalsMax ZhihongEstimator 0.0637238047704912 0.283288764696207 0.0399416924131851 0.361548821226537 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.318415422234806 0.561219949211473 7.66592653557084 2.31419441219835 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.650416337533195 0.916385219894952 28.720774560048 7.07644791940024 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.39061349451533 1.62334534507407 100.870590628385 24.5176487114167 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.05857947381854 4.21865474876591 490.90477384271 171.118353824249 NURBSSource NURBSSource 21 218 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.81740244664926 6.71911272698885 757.352534578895 372.341898939544 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.768245787675814 2.43188883053155 9.5652525590145 678.159527373902 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.74762019362951 4.53013987260462 41.7912928095249 2031.07684029894 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.54296632674122 8.1460316480894 137.984162178653 4310.50698356229 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.33276422091764 12.0960671104777 684.954213496531 1186.09586296978 NURBSSource NURBSSource 21 218 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.6439116637725 13.8636702830274 1532.93354692487 1953.44771150944 NURBSSource NURBSSource 21 219 9 NormalsMax ZhihongEstimator 0.118987050328981 0.115053985246407 0.140885013920647 0.0854971579194194 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.180145137085391 0.215118126435895 0.199924788305958 0.347716356150027 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.33063071215752 0.408285500040764 0.853230762994753 1.51749411398034 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.700063032118833 0.882666343410667 4.07031481778632 7.37850981701572 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.26201089361907 3.06658675235082 38.4602438676489 98.2144735817744 NURBSSource NURBSSource 21 219 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.94573791320643 4.84238101372915 128.409088324629 197.149168874952 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.987540986449163 0.817817247887116 33.7857585695638 5.91630402627734 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.89614285283101 1.55816783381373 106.932489230044 14.2115670624662 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.42027862099982 3.84264675600463 237.731165094424 389.091648201726 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.6216222246959 7.70818861925894 924.173422962424 161.769066137017 NURBSSource NURBSSource 21 219 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.8094496602298 11.1025399678014 1135.92345846899 327.088367059222 NURBSSource NURBSSource 22 220 0 NormalsMax ZhihongEstimator 0.00187026572766148 0.000682561193863883 1.18111165117303E-05 7.82377146549594E-07 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0510967475571197 0.0520783856931614 0.00894101730395633 0.00594336283402487 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.114615389556401 0.117544746803708 0.0519729449525572 0.0230675932489926 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.284189931628716 0.290565669132728 0.355949166338086 0.0974878819046842 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.2752883900237 1.28416923269386 7.36203224628711 1.07874958213548 NURBSSource NURBSSource 22 220 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.42356948948626 2.43407286272656 26.3807251970095 3.25453155321036 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.214500584991608 0.221554571412041 0.20339013279026 0.0658311854875386 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.561148574120964 0.570074747116377 1.45323986290038 0.302130075373917 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.42511692616471 1.43562538558726 9.33296934825264 1.40625663760852 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.2813216424871 5.30573568301396 125.515560981362 14.5513222176525 NURBSSource NURBSSource 22 220 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.08115093942289 9.14106848565084 368.43640064025 40.1606103568905 NURBSSource NURBSSource 22 221 1 NormalsMax ZhihongEstimator 0.000937367172527688 0.000721848759146898 1.5787171010909E-06 9.01168349726608E-07 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0525344418672496 0.0922423536199892 0.00986393809541688 0.0227177843145714 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.118088895199367 0.183319646381423 0.0584057873482329 0.0765303408506439 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.297942110266318 0.373657291970538 0.417316126902068 0.239439667279425 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.32269424095622 1.3585439318203 8.24387324863402 1.71532628080452 NURBSSource NURBSSource 22 221 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.46747593151456 2.48782187410042 28.248616204415 4.5629459036456 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.231270471697537 0.311991617886937 0.242685584527838 0.179446640624948 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.615976723007429 0.676753208593072 1.78084421341795 0.584958764555552 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.53243612355356 1.56008265172542 10.8871487568745 2.11812183710063 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.419499592299 5.45341918943047 133.223578569695 17.9253853658203 NURBSSource NURBSSource 22 221 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.14941131463889 9.24771280170096 378.710051116511 49.3755272254467 NURBSSource NURBSSource 22 222 2 NormalsMax ZhihongEstimator 0.000586494604854766 0.00185544661915216 3.41362795428485E-06 2.30806532643309E-05 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0471900526596576 0.0763740680943568 0.0111824696340752 0.0175124978879033 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.102963563201019 0.162199042106334 0.058004711099031 0.0672554803435705 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.249598432150634 0.355448384234527 0.351793738049724 0.257021071573012 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.12735331851806 1.25143605416339 6.65669238238189 2.11523032821006 NURBSSource NURBSSource 22 222 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.15413670609573 2.23266673679219 23.5263025077772 5.73031260018766 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.176793690425223 0.265972239909805 0.172493851016961 0.153407160379968 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.456003673508751 0.588348331404718 1.13355469914158 0.583426803910896 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.17569024088968 1.3010996219191 7.14025588888848 2.22158910760524 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.41007144522865 4.42225748776092 95.0635452446363 18.5641161352804 NURBSSource NURBSSource 22 222 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.52842666394866 7.48155941124069 272.729994688736 48.3156730576817 NURBSSource NURBSSource 22 223 3 NormalsMax ZhihongEstimator 0.000363214734590762 0.000241877087547527 3.11533845763479E-07 1.86002989056172E-07 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0260194877112393 0.0234752871252424 0.00243565264534362 0.0010817276585233 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.060671388476492 0.0552570387903094 0.0150911804814334 0.00436979310919752 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.154371696504445 0.146129095592974 0.105364569541324 0.0191177598042423 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.67346576413054 0.668654065287018 2.00080497721341 0.193305773167405 NURBSSource NURBSSource 22 223 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.25414859912427 1.25083558805315 6.84686779878073 0.547235857425805 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.120761130139022 0.113299614340124 0.0644284402322168 0.0139569103977581 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.312177181794219 0.304745700299862 0.438813199169493 0.063430568703132 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.765439011018377 0.763699338285756 2.60378786569826 0.272679306093763 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.71793138377182 2.72804758795495 32.0798800438713 2.49454831972007 NURBSSource NURBSSource 22 223 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.64902329794216 4.66878724737141 93.265597258819 6.65361812209502 NURBSSource NURBSSource 22 224 4 NormalsMax ZhihongEstimator 0.000417824815448157 0.00056811337437428 6.13274692429879E-07 1.38281613888586E-06 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0310688264834093 0.0275129975715242 0.00361123332819733 0.00139082185257946 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0722997457545062 0.0661110692991103 0.0218818810744208 0.00599567474572768 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.179801550334469 0.172151071848185 0.144830813709206 0.0274941025380047 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.767415867712716 0.763302599663581 2.63734867488493 0.30088139201821 NURBSSource NURBSSource 22 224 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.43231394223973 1.42952812829341 9.07877300978091 0.885482319027528 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.13344159806816 0.127509948602093 0.0792611977372917 0.0174707835289352 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.340193681329459 0.334470471962591 0.526751376805558 0.0806833369166871 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.83607202652421 0.8324558481886 3.14384180496295 0.359983891852547 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.01291526168517 3.01249684599616 39.9443659852792 3.48220042625339 NURBSSource NURBSSource 22 224 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.17362557981858 5.17230721165825 117.019728137621 9.3414335849847 NURBSSource NURBSSource 22 225 5 NormalsMax ZhihongEstimator 0.000693648034445951 0.000457017109388034 1.77040996246857E-06 2.3804901836388E-07 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0972449754639144 0.0356595625372803 0.0297371289366626 0.00311395816401001 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.191172246460777 0.085479132237603 0.125664235641807 0.0128555648808429 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.369093587044556 0.233169733508559 0.545859410347412 0.0619150134213626 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.1662732130555 1.10336524372179 6.47140876980336 0.778655887278123 NURBSSource NURBSSource 22 225 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.09321012942483 2.0729482609551 20.6629832054464 2.34956345230016 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.299704142401274 0.172643126658638 0.340731027214912 0.0407304401894891 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.59746398685302 0.47982015371724 1.58051664427648 0.211993378784146 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.2839271313359 1.21878286601333 7.774699765594 1.02768580466034 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.34554020682525 4.36744101787564 87.0921846252341 10.2839571267322 NURBSSource NURBSSource 22 225 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.27122395496043 7.35753037299851 241.347140946703 27.3935447164026 NURBSSource NURBSSource 22 226 6 NormalsMax ZhihongEstimator 0.000417804312260423 0.000490082808662079 8.38707473048158E-07 9.60545865117111E-07 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0704256395228612 0.040927681916815 0.0158647993090203 0.0035939276947515 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.145567535227414 0.0937311602473607 0.0759137532075531 0.0140690446347839 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.315702538715186 0.243987467638142 0.407826907168806 0.06092919347194 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.23963383820964 1.19294427534145 6.85650270638051 0.731975467893741 NURBSSource NURBSSource 22 226 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.32721770345713 2.29840881785456 24.0047911726729 2.26916422508919 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.259065164200136 0.181917015745847 0.264862979787006 0.0400253868793356 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.586203928459726 0.504506236973444 1.50673057344799 0.191282022637287 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.38593419213544 1.33667646939372 8.68716667418159 0.927929490948655 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.02380509225142 5.03027150989659 111.904504226579 9.98890539441632 NURBSSource NURBSSource 22 226 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 8.6051596010028 8.67984699544285 325.620780754872 28.0653954720136 NURBSSource NURBSSource 22 227 7 NormalsMax ZhihongEstimator 0.000189522862081951 0.00186056868515336 1.93407486840789E-07 2.39020443489941E-05 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0257815145402403 0.0467886611620567 0.00246183471674413 0.00536231843922106 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0603479179731301 0.0980026553159509 0.0156490031477 0.0195283073627706 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.164565765025674 0.219738791177113 0.126506908623332 0.0727371987189886 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.857028286830979 0.907946229690079 3.36113648083607 0.648127669890054 NURBSSource NURBSSource 22 227 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.69544916525559 1.73225270090238 12.9321016163144 1.82848396801329 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.123124837610882 0.173116847148247 0.0717899175193254 0.0504745158817664 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.356483991841449 0.414417696050323 0.606774945923669 0.198737870398654 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.982050415255974 1.02221819937318 4.46811381530293 0.824578646339185 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.87415675249229 3.86109911034372 67.3891880754354 7.78725025961852 NURBSSource NURBSSource 22 227 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.76148207091326 6.69185706592864 203.841292906298 20.8369095803173 NURBSSource NURBSSource 22 228 8 NormalsMax ZhihongEstimator 0.000175963026074656 0.00166691498119527 1.60000327628507E-07 1.88408118933998E-05 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0313393765682073 0.0647442139742402 0.00374495453930516 0.0121630630990848 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0692958857811126 0.132479500461377 0.0209968729091528 0.0449504023100631 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.17783121829242 0.282230897740685 0.152362167459123 0.16307614965597 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.920348809473081 1.05868178626523 4.00187208103983 1.26770316283086 NURBSSource NURBSSource 22 228 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.84553186580744 1.96003710026419 15.7296330423865 3.28884705154115 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.131655590061535 0.224347864996449 0.083231271953082 0.113197936226925 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.366185612289261 0.499721204781478 0.659165401377203 0.41999010567647 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.02187722421505 1.16554015068045 4.92415880645247 1.54684593352765 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.15912333520722 4.21586743782841 78.3987673471176 12.23441390057 NURBSSource NURBSSource 22 228 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.33199866562052 7.29826797360215 241.923232390297 32.3747411130509 NURBSSource NURBSSource 22 229 9 NormalsMax ZhihongEstimator 0.000260486605413205 0.00145869853622135 2.63259032606002E-07 7.14715062837927E-06 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0570860051485137 0.034472893687915 0.0108573661641357 0.001970373614848 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.122371124345542 0.0835015863598915 0.0548184169091444 0.00807490156437066 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.271931388204989 0.218722045897994 0.297507700596415 0.0344555216005006 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.04542549817257 1.00318667124089 4.70254020789202 0.354121981752449 NURBSSource NURBSSource 22 229 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.94273536359113 1.91495209109697 16.245988148951 1.06557613972158 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.208629227695856 0.16092615311993 0.172470638454344 0.022296962248591 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.481090556487961 0.429275032014152 0.981858206863524 0.0982265525560769 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.13566699406289 1.09954013047071 5.59268336208326 0.434970922265049 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.13424162391194 4.11538888190195 73.2228368077055 4.52321791636405 NURBSSource NURBSSource 22 229 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.15101149859358 7.12568181918326 217.926926799902 12.7582103524751 NURBSSource NURBSSource 23 230 0 NormalsMax ZhihongEstimator 0.00112882413973823 0.000290186581838253 3.99523999023784E-06 1.81753720284732E-07 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0564093491738265 0.0464133694566725 0.0117435181639497 0.00395335589418209 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.126165800202408 0.108515221075048 0.0646757524363366 0.0157346750321101 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.304852144376152 0.280769228130126 0.408193950686868 0.0705110954792684 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.30257277511428 1.29540013346772 7.68083790252291 0.882024215576413 NURBSSource NURBSSource 23 230 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.46272609668888 2.46736996828089 27.180977619429 2.80200993952835 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.232682840448081 0.214051226606693 0.241567918626062 0.0516134310040032 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.589709254576371 0.570759481527761 1.60536661048427 0.256979760501675 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.46351285011683 1.45756028862217 9.86772264221671 1.27961606431659 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.37621816981056 5.40002856039647 130.093821756767 14.0501909879773 NURBSSource NURBSSource 23 230 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.23361227603717 9.29720279666351 380.238328133047 38.7738520446826 NURBSSource NURBSSource 23 231 1 NormalsMax ZhihongEstimator 0.000544994425236148 0.000392345249077699 1.52283476205422E-06 2.04226527221984E-07 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.088846439609397 0.0718087862304101 0.025414132705957 0.012746413167202 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.1815118647348 0.150079573085808 0.122363709906903 0.0457334799579237 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.389279671430807 0.348813826401263 0.66077202497256 0.172616923709307 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.49656422256706 1.4857199050233 10.3794330510061 1.61006005027996 NURBSSource NURBSSource 23 231 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.74725444343431 2.7472207245137 34.4526938691404 4.53156624999954 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.31613071723181 0.270795775583209 0.42042737046737 0.119093152860889 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.717649658301031 0.681611675116099 2.39148130653723 0.489564842587485 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.67639881239912 1.6665230074876 13.1318013967863 2.03199127208823 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.80850102286031 5.83778827280186 152.85962321348 18.271631445375 NURBSSource NURBSSource 23 231 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.74820162678758 9.7937054735464 426.93360668214 47.5210694036454 NURBSSource NURBSSource 23 232 2 NormalsMax ZhihongEstimator 0.000526932565695698 0.00161298095508147 1.10624170679003E-06 2.00933090521715E-05 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0334846711745892 0.0609565535164357 0.00522769023292106 0.0108347992868777 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0822323288562779 0.132025830107942 0.035285652238322 0.0426101331131469 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.223052683372655 0.302089208010085 0.267687187766479 0.173574637130626 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.07277459741116 1.15959631863042 5.8182824458207 1.6519463169995 NURBSSource NURBSSource 23 232 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.06898969926921 2.13521024608347 21.0731681344221 4.67919320134716 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.169104045574523 0.237876934823276 0.153959834321667 0.120481476814232 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.462015575083631 0.552718237750108 1.12749204205193 0.492911888864778 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.20204283614258 1.28787832169455 7.33792832302468 2.05854720998295 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.54802890707054 4.5763811317949 100.59589825468 19.3213791349388 NURBSSource NURBSSource 23 232 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.83383695784722 7.83228042190313 294.545982588829 51.7570349060778 NURBSSource NURBSSource 23 233 3 NormalsMax ZhihongEstimator 0.000297597233262237 0.000243049974525388 1.20111776183139E-07 2.03095089766367E-07 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0459152851494477 0.0242404580178141 0.00696957397589078 0.000944331271092581 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0973985979299648 0.0646591931050185 0.036116428771705 0.00455659853693771 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.219150100416776 0.184295596847034 0.204819388306108 0.0230539979132778 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.84649550491371 0.835339301147086 3.16610293325173 0.264620899416187 NURBSSource NURBSSource 23 233 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.5397860801706 1.53835560896071 10.3551815846622 0.775944434397076 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.170328489209807 0.131351922425642 0.119492540249569 0.0141911090452962 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.39340632076275 0.362647326718283 0.684238312825597 0.0714656680281486 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.914376384219527 0.899652355710422 3.71192986309285 0.327055118594569 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.15747147078413 3.15020669243316 43.2775670325519 3.1914304482379 NURBSSource NURBSSource 23 233 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.36812466396589 5.36003889768908 124.432098095314 8.80016510738566 NURBSSource NURBSSource 23 234 4 NormalsMax ZhihongEstimator 0.000313197552785467 0.000488901368684493 2.16328714606711E-07 6.02438816605141E-07 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0493832622555313 0.0277743282060466 0.00812555512742527 0.00144152220633543 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.103819536691274 0.0704050260706483 0.0406233166714268 0.00638375390426487 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.230279197620682 0.193940924551241 0.225407431281183 0.0313236943787937 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.893077840131605 0.87848121063036 3.57796378982755 0.376437667580676 NURBSSource NURBSSource 23 234 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.64613272022921 1.64061318916538 12.0358132177601 1.13411868601677 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.179856655210347 0.142495193789126 0.133394482027325 0.0205224420289563 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.414536095916655 0.38658778914282 0.767201850325182 0.104991827070537 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.973596291505844 0.964000318246722 4.27163474677447 0.493845013943798 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.44729867452794 3.45689583334683 52.2924317862444 4.98242122907258 NURBSSource NURBSSource 23 234 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.8943935226935 5.92554858492985 151.80117016546 13.8618106943463 NURBSSource NURBSSource 23 235 5 NormalsMax ZhihongEstimator 0.000590165007908582 0.000172828124438219 4.28934056553418E-07 6.13863912129203E-08 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0575871624809732 0.0271942285545598 0.0103862018991902 0.00140122305711001 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.11696288240636 0.0646403332910828 0.0481430479990662 0.00544046161966982 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.246385029280077 0.179765471267204 0.245942406429203 0.0242456667861366 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.937053250737317 0.902999842552006 3.8826220986821 0.296484296487589 NURBSSource NURBSSource 23 235 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.74771620561762 1.73020360738834 13.367062963235 0.913239934965374 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.198619214621878 0.132934005663628 0.153078356876289 0.0162425338206981 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.443499570350947 0.382655853211887 0.848827176205023 0.0814581280632504 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.04236766909388 1.00869151929842 4.81271425949623 0.395518958947177 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.75343684666315 3.74110693275896 60.9755020127478 4.09063238453068 NURBSSource NURBSSource 23 235 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.44205192871847 6.43084059945159 178.311617253422 11.2436705948389 NURBSSource NURBSSource 23 236 6 NormalsMax ZhihongEstimator 0.000407246678064217 0.000289325485718326 1.49220336745011E-07 3.30991628953985E-07 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0505221836156639 0.0429272072344897 0.00834449706204936 0.00371427261173981 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.109839116095833 0.0975213325581043 0.0453867662402773 0.0141078786748853 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.264524511653016 0.249161865001714 0.295768066374181 0.0575030633677137 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.19563052020511 1.19241111107382 6.26837360545251 0.610734857612874 NURBSSource NURBSSource 23 236 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.29710458367318 2.30073103676128 22.8854617421905 1.82728944598569 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.197459756875806 0.179208105684182 0.159316223852506 0.0394498348001117 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.497389761737586 0.477751588520159 1.09464588970823 0.173224699006073 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.27139437727282 1.25639907197824 7.17822772098531 0.779132540485491 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.80448108460923 4.7974575047476 100.476272993572 7.79927831342118 NURBSSource NURBSSource 23 236 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 8.35121600098275 8.33718925227005 301.940075168174 21.5246147816176 NURBSSource NURBSSource 23 237 7 NormalsMax ZhihongEstimator 0.000181873380643095 0.001032291903344 8.9042390483089E-08 8.8850921765126E-06 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0245128949651784 0.079134983696602 0.00236930442607587 0.0161634740425564 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0638753953392178 0.159229138558537 0.0187021854757771 0.0569242415834132 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.195713487288493 0.326355742240376 0.18284773694693 0.186260825427538 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.04697766028095 1.13656128342936 5.01690077176397 1.25178608268306 NURBSSource NURBSSource 23 237 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.03140185277317 2.07721942842651 18.616017675108 3.23872881480636 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.14829722413595 0.260270459103136 0.108505983502102 0.125114118259122 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.44894449335847 0.561822031713709 0.967020640612234 0.417882375600145 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.20956361027521 1.28067776920508 6.77816934715054 1.48019999663839 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.54757507023692 4.52845803854149 93.1436900840029 11.8139992659019 NURBSSource NURBSSource 23 237 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.81057409448372 7.70629817444698 272.999542927814 30.4234405385525 NURBSSource NURBSSource 23 238 8 NormalsMax ZhihongEstimator 8.93770368194719E-05 0.000979720999341955 2.47923383587744E-08 6.66526624928489E-06 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0263220874456793 0.108124454881855 0.00282873083651405 0.0311506704556744 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0652975411500268 0.21599440894794 0.0200895810265062 0.113073956390513 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.200600270121642 0.43079933251061 0.195486312908599 0.373716480286161 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.14934131990893 1.36605985590807 6.13616308953746 2.21066908101918 NURBSSource NURBSSource 23 238 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.28153331214276 2.42531804266233 23.8548619506852 5.30287973056421 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.148312797486097 0.352986563365556 0.108056329264555 0.264910382959546 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.472227958930735 0.720296382506115 1.07285218840571 0.835684424863469 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.33243513614453 1.53979969923474 8.29204262694698 2.65288588616651 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.18974195458942 5.2353346655508 123.093674705372 19.1392356290698 NURBSSource NURBSSource 23 238 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 8.92883184160453 8.8730954883434 363.016177452977 48.9144881476052 NURBSSource NURBSSource 23 239 9 NormalsMax ZhihongEstimator 0.000242840596769456 0.000660257511079994 2.20142243101627E-08 1.38086289703141E-06 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0406328532841632 0.0374895418383953 0.00576576712000887 0.00227541068818755 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.093854342562961 0.0890035833935347 0.0341063829770551 0.00917873657501063 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.228635063070143 0.222815037014654 0.216931681553493 0.0370476532657263 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.969346704663819 0.968689361584008 4.01110299443853 0.329706809027445 NURBSSource NURBSSource 23 239 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.84009673747923 1.83752519638625 14.358128931096 0.93570353210362 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.176918577168427 0.171258446483906 0.129302782986793 0.0253253273446022 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.444198042410533 0.436475374855335 0.845293588564942 0.102258557389661 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.09887253024497 1.09005255379834 5.20340607046448 0.422887205645226 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.07942364991032 4.06378328732865 70.9042174724421 4.25075771028978 NURBSSource NURBSSource 23 239 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.08744679218165 7.05413113743745 213.261509583876 12.0189880134064 NURBSSource NURBSSource 24 240 0 NormalsMax ZhihongEstimator 0.116994149264381 0.0269951704923878 0.0797731460535672 0.00318826012616783 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.150838102626548 0.0726949982143343 0.0956520933449418 0.0120844070875571 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.210647084220113 0.151446831510313 0.163668994712445 0.0383534890446314 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.385249950777971 0.362026036314996 0.598917645776118 0.152408006032841 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.47386217590049 1.51903775392869 9.88100046087995 1.67714238818581 NURBSSource NURBSSource 24 240 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.75365440945668 2.81999498820648 34.5826779301667 5.06300525413125 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.318289947853376 0.289541397209218 0.390798925219239 0.109902369950474 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.694268303853708 0.716899941337139 2.12993094066631 0.496021891559528 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.65925823308022 1.71879840441491 12.5808148988536 2.22855302966682 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.95678611741081 6.05051769055468 161.138974449825 21.9765959484617 NURBSSource NURBSSource 24 240 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.1200351235443 10.2192390369305 461.35821754734 57.6781902533417 NURBSSource NURBSSource 24 241 1 NormalsMax ZhihongEstimator 0.0653136560249797 0.0478656981992993 0.0146738605607715 0.00806716657966862 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.159313163942753 0.124285082409367 0.092221822999779 0.044878261881792 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.296000639057927 0.247554292000467 0.362948421874216 0.153001933440626 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.600859857211965 0.553729227536244 1.71750153213295 0.598301115483952 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.09056067379458 2.11210446576253 21.8677672614088 5.59762885347669 NURBSSource NURBSSource 24 241 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.69988731077249 3.78069175097117 67.5749194203813 15.5836535120634 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.500254069514316 0.440131429524015 1.22263901549986 0.420258057256574 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.07531231711936 1.02225854072234 6.0448510769362 1.70417090022921 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.36413280085679 2.33537563930446 29.0276300272979 6.87949267172919 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.63195007683274 7.65381940323756 289.885974048175 55.6193941530018 NURBSSource NURBSSource 24 241 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.3227077114215 12.4950700898509 750.262517415856 145.539674950041 NURBSSource NURBSSource 24 242 2 NormalsMax ZhihongEstimator 0.0243025305012717 0.10901031977307 0.00434088215643356 0.10407260320214 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0566004663987353 0.150291926954473 0.0165270042372037 0.127224707942571 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.118427053121833 0.225906429256373 0.0764259234014788 0.188427007845304 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.295152506279337 0.417092267482916 0.492734490956916 0.414896075409592 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.30645684326005 1.40255970217257 9.10080298385385 2.99571901713002 NURBSSource NURBSSource 24 242 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.45965687994404 2.51530745574743 31.2416938987859 8.2239054894412 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.23284484807107 0.349832966967073 0.318904193920804 0.340831192022103 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.603719916969304 0.720926116693434 2.07399724460006 1.02654050573478 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.49744602643135 1.5771535992992 12.0336823699299 3.85949305890247 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.38882049429806 5.34074986345232 146.73045398439 32.8371332205433 NURBSSource NURBSSource 24 242 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.0654394230793 8.94399450681716 403.266511867659 82.9926825333417 NURBSSource NURBSSource 24 243 3 NormalsMax ZhihongEstimator 0.0228889561561864 0.00899754168677202 0.0014579797856995 0.000219966645223471 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0709671229826113 0.0365502033349309 0.017123734927674 0.0023716796159696 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.139874066418922 0.0912583888889239 0.0761787854342369 0.0111755725638507 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.297002055306147 0.245844761617305 0.38685908899223 0.0577771821717382 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.06425578289489 1.03306226112105 5.19730741296924 0.662157320499078 NURBSSource NURBSSource 24 243 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.89173268646709 1.86776262572691 16.2918034667289 1.92561482754557 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.239168216320406 0.186973109841094 0.245253576096523 0.0385341762258713 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.525252686895782 0.486383164858704 1.27124455613234 0.186264943421971 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.17307069557961 1.15556328056373 6.36580185412808 0.826329471180211 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.89413079729707 3.91097464587151 68.6693220221973 7.93218838481594 NURBSSource NURBSSource 24 243 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.51698695618603 6.57001997972367 190.989043215301 21.3974429185667 NURBSSource NURBSSource 24 244 4 NormalsMax ZhihongEstimator 0.0296689768812268 0.0157413056093286 0.00264847245376814 0.000969163076314278 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0808200601472158 0.0467647025510682 0.0220357355290898 0.00452480719459593 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.155305487733315 0.106295718752717 0.0932741490843708 0.0175611527998819 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.325089679003359 0.271900866129129 0.465032379966253 0.0825393705709843 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.16489658096444 1.1318951639646 6.34746676075188 0.922437383792074 NURBSSource NURBSSource 24 244 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.09112225395481 2.06385067369694 20.2755439715045 2.69170251212842 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.265438464416333 0.206722400163417 0.308299343751524 0.0630351344103539 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.575638945951356 0.52679439153976 1.57288041429496 0.300228094850709 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.28685444426111 1.25523418632416 7.93381026189614 1.34678523157563 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.33537803473437 4.32332821178448 88.0548265708726 13.0451612978345 NURBSSource NURBSSource 24 244 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.29260874958826 7.31051939250356 247.972368469134 37.1447521629155 NURBSSource NURBSSource 24 245 5 NormalsMax ZhihongEstimator 0.0517584826678383 0.0114071620634907 0.0074309414531998 0.000386945427038882 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.106381389936438 0.0408689782270336 0.0353860584600663 0.00329418774259771 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.189244395608506 0.0971300524280013 0.126664867971286 0.0140743886657307 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.369465091753654 0.265078826024563 0.560267625793573 0.0742768518545485 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.2517703126261 1.20749921240922 7.22252006309832 0.959520626723722 NURBSSource NURBSSource 24 245 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.24741556801567 2.24106050559849 23.2193255520018 2.8903404625149 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.299036007259642 0.196895517939376 0.355201877173848 0.0460746882182949 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.621976238161491 0.538175378603368 1.73308853205199 0.251861957032399 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.37902362978536 1.34543430761405 8.78954219280007 1.23013566693351 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.68674912183681 4.74961783646895 99.3107072638397 12.2898890735903 NURBSSource NURBSSource 24 245 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.88763338712536 8.04235347034877 279.083104881268 34.0800869541015 NURBSSource NURBSSource 24 246 6 NormalsMax ZhihongEstimator 0.0446460763342466 0.0271074747177489 0.0062817714020651 0.0023766518105278 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0912815116518243 0.0675350572638932 0.0275660277040476 0.010620357239997 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.170061206361462 0.138499198019985 0.108603383393718 0.0348924542325183 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.36797077139309 0.329588417219659 0.578969585601649 0.137875867506969 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.46087713391268 1.42640033595661 9.71537974423169 1.42638689514756 NURBSSource NURBSSource 24 246 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.7195160537417 2.67551584242391 33.3940082967006 4.13858735239718 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.293457720051371 0.252381314846198 0.351923702176366 0.0947354786983204 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.679388964064561 0.637224901451663 2.06164665716738 0.412396171967955 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.61838856459538 1.58921754100271 11.8977799348816 1.83441947310576 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.74278812949441 5.74144766373032 147.29506033241 17.6386046546306 NURBSSource NURBSSource 24 246 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.80098532416492 9.81388554538357 425.762228053775 44.6770758352165 NURBSSource NURBSSource 24 247 7 NormalsMax ZhihongEstimator 0.00997726084084075 0.0761918603770304 0.00045121135909643 0.0205550819581769 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0380456579785547 0.14902532050405 0.00656221230364031 0.0657274553239876 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.101751213197146 0.257582807047598 0.0532360620506223 0.167965226226763 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.303626016715883 0.486275881132955 0.488619229355838 0.470243174128445 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.45836340519862 1.5513316431569 10.5862882533541 3.00257164097173 NURBSSource NURBSSource 24 247 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.73802705458067 2.74751967026748 36.5721463420288 7.59879765576902 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.221169009814771 0.400062176805597 0.254828143457236 0.354298787078424 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.633786481442548 0.802119326461833 2.03478653201602 1.10651077970875 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.61795397994684 1.72495981694839 12.7800513162891 3.85929045843825 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.75919314066771 5.73167977005712 156.823473440756 30.4411651695514 NURBSSource NURBSSource 24 247 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.60275895978048 9.49660367609664 431.366895024194 78.889247063299 NURBSSource NURBSSource 24 248 8 NormalsMax ZhihongEstimator 0.0114876984292342 0.148147361127695 0.000609755174877894 0.0912230894945296 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.041645680548553 0.232267095506706 0.00911386859637714 0.183159944020879 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.106923744839323 0.373367752745049 0.0676138722241601 0.408866230136115 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.328214203237392 0.665054339697079 0.616500923270934 1.06833241097132 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.69349146614381 1.91098565740616 14.9080679597131 5.73007000513618 NURBSSource NURBSSource 24 248 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.22576306159658 3.27865465083694 52.7069600073742 13.8952018108449 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.226519003136437 0.560525106576662 0.276184083500396 0.818794673394622 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.685452500759395 1.04795285694436 2.45251785050635 2.25819767020764 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.8283511183593 2.0949186463731 16.8094082764322 6.89437237641329 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.65992117092025 6.56881280493118 216.348454256853 45.3958273299685 NURBSSource NURBSSource 24 248 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.1765092775839 10.717420919959 614.267191160181 107.243283008541 NURBSSource NURBSSource 24 249 9 NormalsMax ZhihongEstimator 0.0219597101209505 0.0206311978920026 0.0015952411993369 0.00205639404199221 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0648823981422397 0.0583117698220904 0.0149931986772354 0.00684518391065953 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.135433598166096 0.123867523863213 0.0722338817962405 0.0212735887831766 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.309342708939103 0.294700208170726 0.406839957382253 0.081100989832124 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.22083644258133 1.20484598656636 6.55938182955909 0.768100148646999 NURBSSource NURBSSource 24 249 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.25342684664516 2.23222810884019 22.2397544896962 2.21246763573574 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.23611741982329 0.223934938264323 0.234845668524183 0.0598530018606909 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.557066656207866 0.545613781175578 1.36834583884536 0.241215703163906 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.32369491387728 1.31238778129937 7.75888259831823 0.999774885944376 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.71074997539857 4.70614113430218 97.2468385131973 9.54247078725777 NURBSSource NURBSSource 24 249 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 8.09984522374229 8.08169223773094 285.757810129853 26.5486677641732 NURBSSource NURBSSource 25 250 0 NormalsMax ZhihongEstimator 0.356481919575168 0.120490210496332 0.457897595299071 0.080613888624906 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.506582978907635 0.331488369337077 1.779762957465 1.16267806253648 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.726936159202963 0.600457562937773 4.7937629311811 1.92942663351555 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.32448175108746 1.24670535980562 18.5813862406043 6.77631798691635 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.00399007337514 3.89947855888153 145.600858114479 44.6142793557153 NURBSSource NURBSSource 25 250 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.42711929983412 6.54922702032862 322.783122048671 170.272743144861 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.0656166525779 0.980256523404867 8.93489326033918 8.68996194456005 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.10834845839013 2.25773231481168 36.2500036580236 195.051618893383 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.46235018180407 4.67351013438822 315.891804244277 666.775737503024 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.3557332899334 11.9578861317167 742.594918319191 369.605621301135 NURBSSource NURBSSource 25 250 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.8827673539245 17.7465966070601 2093.20181997045 866.672386733049 NURBSSource NURBSSource 25 251 1 NormalsMax ZhihongEstimator 0.243639722091374 0.243880089810699 1.48006034963566 0.43395503921038 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.708278747467187 0.778877259637114 9.17707925917767 15.9147699933459 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.33270687143046 1.43299999046892 33.0895212457793 45.1733909498082 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.63934541798041 2.70078497301901 113.622720714073 117.577847995943 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 7.22663393972701 7.42200114850351 528.143765391547 776.86610843508 NURBSSource NURBSSource 25 251 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 11.9423991175347 10.9275700156478 1814.6956346508 805.74866726473 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.12077589368222 2.02075437142805 210.072874461167 40.7039227960354 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.9526652351339 3.93965373192068 346.809474132515 112.867431158798 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 7.19788503118667 7.68305947235286 623.384695844191 380.748094582756 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 18.6426891990457 20.5465146716836 4028.64869987653 3331.3958916929 NURBSSource NURBSSource 25 251 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 24.0300375486987 29.1100000694367 4509.70160009604 6433.71768153679 NURBSSource NURBSSource 25 252 2 NormalsMax ZhihongEstimator 0.101502172639065 0.314523065210493 0.15991630695706 0.686113278699031 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.328651687212372 0.57029709151206 2.09367042554847 5.65786172033891 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.645588496294568 0.900963510869718 6.88084124598854 14.5490654332762 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.3735662918973 1.4927649680637 53.1700226702131 31.4197788178583 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.41987308758191 4.0566699528207 296.136757671784 93.4704280094082 NURBSSource NURBSSource 25 252 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.25233907662596 6.54014808395843 659.263907233706 177.5355306944 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.997857378791873 1.17354504621169 10.9061753194656 9.7316210026163 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.11068782830097 2.23793467205167 43.8045885625125 33.8963380990803 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.47002847888692 4.40199299658034 207.323750133219 214.521570645833 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.5975056374978 11.8430795547658 2118.8633134177 718.260593398277 NURBSSource NURBSSource 25 252 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.9450443250006 17.757733059378 2761.00554176254 1600.39898669852 NURBSSource NURBSSource 25 253 3 NormalsMax ZhihongEstimator 0.0908928244004837 0.0646753511374341 0.0419387136440356 0.129447965093723 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.440509028730339 0.368971930710658 11.4973662707061 12.1905214293462 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.867892566165348 0.769514671686111 42.3449351482427 43.4091901812238 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.69969019964723 1.61682922134388 135.763268870779 145.822038841449 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.99049270238504 4.63970507175628 867.387796346524 618.290483886007 NURBSSource NURBSSource 25 253 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.50685991998227 7.36267555173835 1586.54091112675 1209.27029312136 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.71060273167304 1.51645397602528 532.765830340328 560.444591821248 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.27494907411067 2.73590781626251 1460.1251821538 645.14304660016 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.53175714302882 4.75134280009377 1509.1233476534 362.413701628676 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.4562509262364 11.7514172779923 2301.56154430559 1203.97633438885 NURBSSource NURBSSource 25 253 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 15.653486848297 16.2908226672575 1920.71053134077 1744.87087034235 NURBSSource NURBSSource 25 254 4 NormalsMax ZhihongEstimator 0.113115102279346 0.0872051161850166 0.0712674929840674 0.102464358173991 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.394024363618533 0.307612024952663 4.02401590346191 1.18576640307443 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.763831408271896 0.629913436153341 16.3296234178906 4.41209020088946 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.54456767701837 1.31543494362419 69.2049349399495 15.0745844105663 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.38599045565484 4.2481118754399 355.324386769308 157.017425168499 NURBSSource NURBSSource 25 254 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.19636615870477 6.7790768164767 775.915495011373 365.285098876529 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.17762303788223 1.24289970356245 33.2446618568812 76.8879096038046 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.37780078806277 2.56947585044499 128.651417080488 299.243730537328 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.69390325936988 5.10412483036345 457.862489397749 1010.64855116083 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.5970591370866 12.0105752921943 1526.57883495988 1622.24990244951 NURBSSource NURBSSource 25 254 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.6520718657197 16.9774668697175 2626.50617897825 1652.2146994999 NURBSSource NURBSSource 25 255 5 NormalsMax ZhihongEstimator 0.162610621322049 0.0709690517046007 0.128009379682225 0.172363239850245 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.439835130335573 0.288482509403531 2.20166925261481 2.72299653346353 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.813601424759505 0.641473071432632 8.86660235768854 10.1472770204192 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.66366094547095 1.43136834658097 47.1717450516245 39.2446025231544 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.81090849186901 4.89564925175618 303.738402486528 437.919114569277 NURBSSource NURBSSource 25 255 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.72943769310672 7.33687054205905 653.739259339863 415.612609452619 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.46361034250342 1.34147035638549 37.1779674074895 33.4688126764905 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.95353393144454 2.97879624122183 146.254294846872 199.707683141767 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.77555428673603 5.62671398474259 512.376788074217 375.319523476722 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 13.7359952057619 13.6027209032096 2420.9274110345 1058.92284084397 NURBSSource NURBSSource 25 255 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 19.4544405862473 19.6991066507854 4438.94387943868 2861.18282102256 NURBSSource NURBSSource 25 256 6 NormalsMax ZhihongEstimator 0.172850636324593 0.113259189511123 0.122755994494389 0.0799964078870509 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.383137912687704 0.312344541596641 1.15093476636235 0.722410194155534 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.687018093212383 0.613441558775002 4.43706889205532 2.6237115747973 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.35649806821626 1.298987591501 17.5760362965193 9.64159940834548 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.33492565325712 4.10535559302465 300.493001746465 69.1108048764678 NURBSSource NURBSSource 25 256 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.8453550646408 6.90009401399514 446.031049192205 208.991072932529 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.1143920344343 1.12744750702095 18.6395691268603 15.421438779864 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.18523573091152 2.34152494535049 35.6739209186686 47.0410091082768 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.39344864816108 4.8915749722254 127.908286899032 265.417619053029 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.0671640791902 12.4695235948554 943.088769148488 692.742790027601 NURBSSource NURBSSource 25 256 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.3491234885666 17.9736976436575 1704.0943334397 915.70046277772 NURBSSource NURBSSource 25 257 7 NormalsMax ZhihongEstimator 0.0716376375145795 0.288349270745979 0.144426304908026 0.50084095642059 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.352697738926275 0.66243850801464 2.91216249883305 6.25157296648945 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.772439069513532 1.13941671591399 11.0323380047072 22.500080108403 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.69708008642066 2.09100224772101 45.0938402301801 74.3047239370446 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.57019369629796 5.72151575841115 540.249379874606 431.069588686986 NURBSSource NURBSSource 25 257 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 9.05708716054319 8.73588709932491 1542.19397026535 723.909531984688 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.30780108706544 1.6623961810376 36.4945628950595 29.2425799985182 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.74360519538972 3.12633606437519 126.298351120942 105.300301604531 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.46209461884402 6.06331152056533 390.53150489524 430.637324647964 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 13.9376622745527 15.7475931574307 1719.17848898897 2056.33065772183 NURBSSource NURBSSource 25 257 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 19.4034424138262 21.4522840075223 2912.02608203848 3787.88124436094 NURBSSource NURBSSource 25 258 8 NormalsMax ZhihongEstimator 0.0882544360630005 0.402114634500482 0.333348031372894 0.895762490683695 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.459122623520154 0.955780555984724 7.93327469212559 9.76723204387139 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.01288714936115 1.60406706716564 27.4372160270445 32.6932159852439 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.20951223557948 2.89765786564817 95.6887497054407 117.63689933259 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.78257705894824 7.47232437831636 693.874713102806 739.656804206646 NURBSSource NURBSSource 25 258 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.8179260060079 11.4257416042474 1789.56656182975 1576.55367231359 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.76776609709568 2.18636739735667 77.755129694337 43.6810628252712 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.7233474161397 4.10037109729706 260.360032482588 137.848301158714 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 7.23194401827528 7.336433036122 721.38144038085 394.244986179298 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 17.6666067105446 17.9479662110111 2864.86971456638 2139.04992708946 NURBSSource NURBSSource 25 258 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 23.744712192242 24.6714884904974 4531.71803152411 3557.88790088227 NURBSSource NURBSSource 25 259 9 NormalsMax ZhihongEstimator 0.0894282790699246 0.140851234125227 0.0413538137641295 0.17255475804469 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.333724276372875 0.318183635849469 2.00866186401142 1.04484137399333 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.629107090322815 0.567346380184349 4.39572637863006 2.62170497165197 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.2525199732494 1.1321110972065 13.9588231058572 7.84110313779458 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.78946461416553 3.53975331949692 105.648188731454 50.7015958893298 NURBSSource NURBSSource 25 259 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.17640904784642 5.68511014694719 268.676111374053 87.4895310537893 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.907962414567425 0.992740704704704 7.52940504190653 22.5662579108304 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.85006436184321 1.98753038135449 26.5830705354244 40.7488062018656 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.74414177883648 3.9652160055932 97.9066330164116 87.9662890779907 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 10.3134316778353 10.8673198885676 649.426196371591 541.398596346198 NURBSSource NURBSSource 25 259 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 15.4317581495452 15.6580595035247 1401.07498400029 506.013455522953 NURBSSource NURBSSource 26 260 0 NormalsMax ZhihongEstimator 1.64508095158166 0.486553774424161 1.66840025429871 0.450190069517431 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.65886952536619 0.496091929377788 1.68655543834783 0.451994099465776 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.6743930180115 0.510187317022752 1.73810947667136 0.450791565046766 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.71349054710086 0.552791605141305 1.92542184744988 0.458881944106295 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.93705360399774 0.793831953514779 3.55664182763986 0.850936647880815 NURBSSource NURBSSource 26 260 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.19842763453682 1.06457931605552 6.55932821056096 1.93191388554282 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.69859547164 0.535252455311597 1.84854540881442 0.452485860749316 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.77756955794578 0.620581703102904 2.30321985488532 0.513059679893004 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.9707651757583 0.82573517662589 3.90671088734293 0.964707567692039 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.88040117547689 1.77329611083344 20.0198943525894 7.7019668106711 NURBSSource NURBSSource 26 260 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.90440279327301 2.8330197319721 53.0149269210114 22.2328722236779 NURBSSource NURBSSource 26 261 1 NormalsMax ZhihongEstimator 0.733785270499076 0.581371633586723 0.43598340934697 1.61006795445303 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.737902398945289 0.589332203454109 0.442631429461686 1.62605806147011 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.746182045897765 0.598119648988267 0.461235549190631 1.64149973848406 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.768850764256181 0.619618028610496 0.529399169597662 1.69346086442289 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.881521825042916 0.73256592883169 1.20448746390456 2.22803430151839 NURBSSource NURBSSource 26 261 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.02190370202011 0.875301493879767 2.63795566328975 3.33426698340457 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.759977631523074 0.611461350485394 0.50024336998223 1.66994823218391 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.801540993386558 0.653753821454555 0.674503178082926 1.8113992899395 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.896116143196904 0.751546999779748 1.34113113585357 2.36041215481196 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.47864099773325 1.36140605853879 10.4472803882773 9.11551942194378 NURBSSource NURBSSource 26 261 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.73129927286324 2.65481863800004 46.617667956943 30.2663846593747 NURBSSource NURBSSource 26 262 2 NormalsMax ZhihongEstimator 0.425597473237433 1.57575870897822 1.09403189195071 14.0466679622313 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.453299321022539 1.63315781338417 1.16221043230811 14.3594510020148 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.496824272215557 1.69723656712134 1.3010665687837 14.6617926683614 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.617746202665113 1.83315126755944 1.81084217600302 15.2631922201323 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.28036087942931 2.44841914241738 7.51143196916993 18.5161725639003 NURBSSource NURBSSource 26 262 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.01452654350291 3.13771438438781 19.4837362404094 23.6279016811372 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.569056096924188 1.78220457643451 1.58683467077205 15.0352756618157 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.809440007016363 2.01685724899009 2.97076157985033 16.1107119792806 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.37246353203605 2.53753234269608 8.7686273081437 19.1320871277204 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.88118734640142 4.9090987032994 76.5907484329859 43.2874449743306 NURBSSource NURBSSource 26 262 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.62532474082724 7.52120917534221 224.849745895424 85.1135025406541 NURBSSource NURBSSource 26 263 3 NormalsMax ZhihongEstimator 0.106135871892073 0.125634991839199 0.239449088257381 0.225844248873202 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.178433416444524 0.194012635751823 0.278806433213011 0.242628101669613 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.294615623315851 0.308747655918507 0.452045103065771 0.278401974301856 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.585898120802971 0.601713689843563 1.42184621501471 0.420182255945759 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.90965003018137 1.92833653484379 15.1962240379243 1.81655919684453 NURBSSource NURBSSource 26 263 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.27975140167814 3.29715962144373 45.4587774560472 4.43496955218887 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.4691721331392 0.483633908318449 0.946445615493022 0.357924634754601 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.981512572102304 0.999538283693921 3.95691761340458 0.725724469680287 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.06641547912331 2.08666262960604 17.9247130058026 2.11692774313188 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.52424408390934 6.55402440767689 182.294565503046 15.2547037559304 NURBSSource NURBSSource 26 263 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.0289340136189 11.0547693545091 520.520607577066 37.7818236288254 NURBSSource NURBSSource 26 264 4 NormalsMax ZhihongEstimator 0.212585113444466 0.449178558562357 0.352009493236603 2.03862955545754 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.276614227160429 0.509062377354516 0.420525353992054 2.1007574422904 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.371877795943701 0.604902169052846 0.610487925797287 2.19482016808323 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.609633741505468 0.846272711290359 1.46671389440214 2.48434744505946 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.72525186619763 1.9686928773859 12.4197897405948 4.65330042667458 NURBSSource NURBSSource 26 264 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.90388019328943 3.14632468677678 36.1973390775598 8.22860028941498 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.51697626797616 0.751949684886095 1.07326996752633 2.3656500513986 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.945500498178337 1.18434586284129 3.58629958344539 3.01905366631257 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.87598964097916 2.11891337818087 14.8431867114246 5.12404005465297 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.786592075896 6.04135430505262 147.20382017122 22.5443411681989 NURBSSource NURBSSource 26 264 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.77285859867341 10.0268181716606 419.994853703799 51.3278616285352 NURBSSource NURBSSource 26 265 5 NormalsMax ZhihongEstimator 0.459653697115891 0.20634476587711 0.829687364644426 0.212406755065265 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.615204214473552 0.29305100996404 0.998796507571822 0.231419234454459 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.765152826806349 0.440453712351029 1.50296346141991 0.298514720721142 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.10136045606499 0.813243813816614 3.65080565460494 0.686984319502108 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.71372021693412 2.51941004474008 30.1111213998722 5.89861051483389 NURBSSource NURBSSource 26 265 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.42577685497982 4.30298941821192 86.3805620531268 16.6410976932541 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.974494040137935 0.673590555695777 2.71060742566752 0.518483890077223 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.5935648611756 1.33842128380461 9.00032679794599 1.76454110860896 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.95353787377561 2.75565242588929 36.507280083438 7.22452367466045 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.56345627664734 8.56948671958841 339.801101551142 61.5912015306442 NURBSSource NURBSSource 26 265 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 14.0342774226937 14.1905644478286 911.88101307985 144.5525014872 NURBSSource NURBSSource 26 266 6 NormalsMax ZhihongEstimator 1.01352300186506 0.628465690564627 0.389533665347857 1.58079212456813 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.01352300186506 0.628465690564627 0.389533665347857 1.58079212456813 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.01350869595412 0.628500755606396 0.38958852411908 1.58100172288177 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.01350869595412 0.628500755606396 0.38958852411908 1.58100172288177 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.01353853336592 0.628443626863204 0.389534744740632 1.58067471731867 NURBSSource NURBSSource 26 266 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.01350879848475 0.628507942753301 0.389633742766874 1.58105525771582 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.01352015378828 0.62850063013066 0.389563236762411 1.58100107876292 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.01353427967674 0.628467972633184 0.389507805908581 1.58080860316662 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.01350660389062 0.628505487150546 0.389465155363581 1.58103506306641 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.01474538361051 0.642718069565298 0.446353212682611 1.67814129305881 NURBSSource NURBSSource 26 266 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.17808086672244 0.892367635395838 3.04433350694218 4.38733360816313 NURBSSource NURBSSource 26 267 7 NormalsMax ZhihongEstimator 0.349005734721389 1.40262890400928 0.62979031458976 10.2325843676417 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.369247195341002 1.43731518763812 0.670529956353151 10.3923195419071 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.404525251137986 1.47865282027399 0.763701252485111 10.5362278080966 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.512130730612732 1.58163637264218 1.14212868147507 10.876013578336 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.08656978882125 2.11752067024868 5.42701021063162 13.3079339868826 NURBSSource NURBSSource 26 267 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.71095561301171 2.71320975580603 14.3194431603894 17.2116677795207 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.471509142327629 1.5434363136427 0.985294424797713 10.7458328902785 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.687215697447908 1.74279752790568 2.05746767490896 11.4936927456527 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.17904507130451 2.20741707587291 6.5189857050369 13.8649673224653 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.31263882942748 4.25587326758896 56.9147419562427 32.6675325930812 NURBSSource NURBSSource 26 267 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.59618913101505 6.44595544826506 163.331884465496 64.4175089933064 NURBSSource NURBSSource 26 268 8 NormalsMax ZhihongEstimator 0.173834851550759 1.67073572812345 0.113132836192656 14.4530232390707 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.189727115878848 1.69398053603347 0.123064091805907 14.578383186226 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.215078124080457 1.72157209016501 0.151428164797621 14.686006180475 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.291901940874144 1.79309129508289 0.296616807329956 14.9516122329994 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.699335446572652 2.17335180191877 2.45372699723602 16.9597843584615 NURBSSource NURBSSource 26 268 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.14059226468552 2.58985674036311 7.32699506968051 20.1679684012188 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.259227902368735 1.76318889576979 0.225902236448484 14.8360282051818 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.407145130476313 1.90003921662473 0.679696761307378 15.4256900186116 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.744648625675797 2.2161082119254 2.86531451785659 17.2654982550514 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.26041975765411 3.6452864978816 31.1683250518325 32.3034874850372 NURBSSource NURBSSource 26 268 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.06879649175562 5.34150352978742 100.101932689591 60.1516959387684 NURBSSource NURBSSource 26 269 9 NormalsMax ZhihongEstimator 0.422737408882918 1.34896284732922 0.469108937678666 8.63725300359196 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.431071442805766 1.35909089827303 0.484700838357831 8.67219292670639 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.445475746074985 1.37228669181286 0.518358822517246 8.71168253762911 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.479121968079339 1.40185713822886 0.624506698156459 8.81589524280983 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.630821461015395 1.53522413269446 1.53583255366598 9.56891277968306 NURBSSource NURBSSource 26 269 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.807050319554002 1.69202078747168 3.33207350399451 10.910750809286 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.4666568318538 1.39103797612706 0.581340034578154 8.77329335795349 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.526500899294103 1.44322599911572 0.837167324929863 8.99907473366205 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.658114018179591 1.56086337164326 1.76997340856078 9.75538663354257 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.33546151418892 2.18923422270841 12.4189674766911 17.199578114727 NURBSSource NURBSSource 26 269 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.50280649442664 3.27764331103296 45.0240080129811 35.2788501208751 NURBSSource NURBSSource 27 270 0 NormalsMax ZhihongEstimator 1.81950322309396 0.537597814619476 1.38846745773569 0.546355656398524 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.82183991105943 0.539705849957348 1.39267295321741 0.54684490050716 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.82470254944489 0.542785918015558 1.40443009045208 0.54649697657346 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.83223318512754 0.55244245821812 1.44564970492224 0.548290648509208 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.87649151262372 0.610973659284372 1.77260321177091 0.641815066847918 NURBSSource NURBSSource 27 270 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.93140414184573 0.681868170247169 2.32125191798188 0.904102296335514 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.82984314194967 0.548679468307852 1.42911867322592 0.547258442762781 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.84534539872542 0.569837030231645 1.53013190754594 0.562952963278983 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.88579782998968 0.624139457439852 1.85935355661703 0.68247749236196 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.10956158471886 0.894306961553295 4.85963731973047 2.45952281759395 NURBSSource NURBSSource 27 270 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.44303698472232 1.26283531506513 11.7033823566723 6.7044847780108 NURBSSource NURBSSource 27 271 1 NormalsMax ZhihongEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.773557098499603 0.543286926974139 0.374452785731287 1.29316607077962 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.773641155643459 0.543241688164962 0.374666295918411 1.29288468386954 NURBSSource NURBSSource 27 271 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.773548018013873 0.543239757149256 0.374447007877203 1.29285754718187 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.773641176625857 0.543282592654225 0.374683213559113 1.29314448882131 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.773735305430399 0.543330101033284 0.374979126893679 1.29346890841839 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.773738551166418 0.543270576700321 0.374935027690733 1.29308932699467 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.79325786862434 0.559670386007705 0.551277157531406 1.42763435750902 NURBSSource NURBSSource 27 271 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.02804877484677 0.803705669110972 4.45621141920135 4.91910152461859 NURBSSource NURBSSource 27 272 2 NormalsMax ZhihongEstimator 0.463148586358311 1.76565445277535 1.21384232330243 16.8393763087449 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.482471609585887 1.79883603764759 1.26392012574358 17.0299055462842 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.513088934219224 1.83869204604331 1.36308706945181 17.2171722764352 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.599530909075614 1.93151331949057 1.70955363097888 17.6280619203141 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.0818308477998 2.39155797146442 5.23491413082973 19.9783320164389 NURBSSource NURBSSource 27 272 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.6281583452143 2.91185023583797 12.4163915088611 23.5174245237453 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.56375799394293 1.89926751028311 1.55733989987326 17.5005374013512 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.736445241267718 2.06977110741948 2.44614859295289 18.2830500671647 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.15509803619672 2.46208384849549 6.02933893083042 20.4498207871899 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.01442461976438 4.25480669196126 45.6360942839429 37.0055765803485 NURBSSource NURBSSource 27 272 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.00800203347911 6.18916507630528 129.177159966494 64.8733197574315 NURBSSource NURBSSource 27 273 3 NormalsMax ZhihongEstimator 0.117795376201731 0.155705571975615 0.178733388498774 0.227237969412743 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.216993485378403 0.224673203067225 0.240182391441687 0.240095571913323 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.344194168411449 0.353718320713479 0.473623872996931 0.276454287905313 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.652776222922781 0.676124304263112 1.67893053069292 0.440140834175567 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.0604713251849 2.10205506387249 18.0193728643656 2.262243444604 NURBSSource NURBSSource 27 273 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.51299658402455 3.55954525862778 53.2891253798666 5.83425852543088 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.532961159257388 0.552617924311873 1.11121580091345 0.370037018887232 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.08399827303089 1.1169236772405 4.81503213107293 0.83791554298777 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.2516357309136 2.29315245591047 21.6311849991471 2.73170106720851 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.05268819244798 7.11491041245602 216.617624047467 21.3484410595138 NURBSSource NURBSSource 27 273 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.8312061776627 11.911762676948 607.806144049813 53.6084869916097 NURBSSource NURBSSource 27 274 4 NormalsMax ZhihongEstimator 0.251541338327412 0.476567995267702 0.318479337385593 1.90184320028794 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.330771274940657 0.530312388711369 0.399138740926732 1.95342546880498 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.426800689671279 0.628057795233278 0.611244148763072 2.05212819156006 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.659192682465628 0.8718842269272 1.5334388373807 2.37801331229672 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.7576070238255 1.98409652025802 13.0183294486477 5.09724068182 NURBSSource NURBSSource 27 274 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.92493446420562 3.14647912487526 37.8225661991314 9.85487675543015 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.567627572432626 0.777129159946043 1.1094627123379 2.24218295865552 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.986876514483326 1.20901268084045 3.76422874571342 3.01389240455622 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.89948368645248 2.13146098310083 15.4645931731257 5.67682038000443 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.72897254110088 5.97983658813524 150.120058803016 29.0383965893922 NURBSSource NURBSSource 27 274 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.65564515255359 9.95944724180085 424.85066886104 67.9220661548349 NURBSSource NURBSSource 27 275 5 NormalsMax ZhihongEstimator 0.655995888189773 0.223174752080762 0.761429610272709 0.178055460858535 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.716601804097355 0.267067267226643 0.8275848321198 0.185720400284852 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.789754415895016 0.341479971189879 1.01518526668548 0.207719723161602 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.967705099250195 0.540690331798986 1.7757303364792 0.348323136942641 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.83104761025876 1.48589750899025 10.5708184907102 2.38279560896793 NURBSSource NURBSSource 27 275 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.77785796519931 2.49572850567085 29.3176200305053 6.55770709383495 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.903015419496764 0.467375837859151 1.45807719437068 0.286474887369339 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.23782187320861 0.837177313374949 3.65168971432971 0.76889181312591 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.97426338277458 1.63983299034269 12.8632921775213 2.95775966609735 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.27768193648469 5.14968735385758 121.918977584296 25.5831855687312 NURBSSource NURBSSource 27 275 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 8.98921995910868 9.02876142401297 365.518606076445 65.0458559318916 NURBSSource NURBSSource 27 276 6 NormalsMax ZhihongEstimator 1.00733445830179 0.628597733555173 0.308226072866703 1.61163457974279 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.00734572841514 0.628606327731225 0.308222362441557 1.61167762868733 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.00734572841514 0.628606327731225 0.308222362441557 1.61167762868733 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.00737211966477 0.628619683179 0.308219159564808 1.61174392707502 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.00737288388914 0.628675834695844 0.308206207113598 1.61205889224143 NURBSSource NURBSSource 27 276 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.00733098119072 0.628689464659335 0.308238476972791 1.6121514703382 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.00734572841514 0.628606327731225 0.308222362441557 1.61167762868733 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.00737852774976 0.62857646830019 0.308224110623114 1.61149533173709 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.00741757970132 0.628529448290125 0.308202961651583 1.61120912656386 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.00751395637075 0.628445947152661 0.308200974585011 1.61072081584376 NURBSSource NURBSSource 27 276 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 1.00821345698932 0.629136860666679 0.316945274089489 1.62048042213622 NURBSSource NURBSSource 27 277 7 NormalsMax ZhihongEstimator 0.35845644344314 1.48670534386154 0.640362976157726 10.8272986407688 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.371847093311158 1.51821742564032 0.668971301751263 10.9859838198399 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.399877288466764 1.55213297383678 0.742460971545069 11.1179562630655 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.486063644054785 1.63039209643942 1.03793226469643 11.400327517851 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.934352935708886 2.03123848071234 4.21953327921497 13.4372471043674 NURBSSource NURBSSource 27 277 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.42840421577141 2.48518619087454 10.7664884963061 16.8378063088001 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.452293952691131 1.60116511405637 0.911300899587321 11.2933822475741 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.62005996815444 1.74752040683138 1.712411887974 11.889682027144 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.00251677673368 2.09017272832923 4.97109035164202 13.8405760715412 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.74192793975827 3.71322610249123 42.8006376467123 30.9004184847031 NURBSSource NURBSSource 27 277 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.74709489001508 5.61197881851865 128.27605983101 62.3820594012151 NURBSSource NURBSSource 27 278 8 NormalsMax ZhihongEstimator 0.147486237923696 1.72637747461858 0.0691847616779411 14.5503177189169 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.157893198016439 1.75636807933003 0.075763224773286 14.7327804670758 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.182021989286474 1.78487407206863 0.100288084479022 14.8626790369154 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.253173229810421 1.84726790566024 0.23507065690004 15.1234907068954 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.60184619924328 2.16437193582848 2.18191944521495 17.1268296607814 NURBSSource NURBSSource 27 278 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.980351845281655 2.51635652835674 6.57346002536564 20.4637253857991 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.22344439288225 1.82273406611535 0.167981910637106 15.0195708613461 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.354781908148938 1.93752419993251 0.586659083444627 15.5894618216863 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.647165905067721 2.20218273646678 2.59356194523379 17.453001757527 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.96996417698602 3.43424409378756 28.2821937450547 33.6434847812792 NURBSSource NURBSSource 27 278 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.61477147498269 4.9488267986468 92.3018477622083 64.8367466971993 NURBSSource NURBSSource 27 279 9 NormalsMax ZhihongEstimator 0.426950174371091 1.38254044518435 0.458012780768309 8.72441995242341 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.427069632735895 1.38272859750324 0.458260197428021 8.7252464793068 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.427327069569764 1.38275749352208 0.458844933986161 8.72409886344787 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.42836856331422 1.38267024686551 0.461804773944365 8.71996698832277 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.437831889546809 1.38288587366442 0.502690734558286 8.69431952380508 NURBSSource NURBSSource 27 279 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.455999505505349 1.39019073466024 0.612606786982276 8.7117828179628 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.428015708953721 1.38272042527704 0.46060084191447 8.72120571682698 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.43079754770858 1.38215165512345 0.470174234514116 8.70863958576466 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.439307610570207 1.38391895172746 0.511378927242058 8.69584693596098 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.541402754386441 1.45809686224711 1.42743933171639 9.27020064817651 NURBSSource NURBSSource 27 279 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.7988914507949 1.68069169562418 5.35634002471267 12.1487409695472 NURBSSource NURBSSource 28 280 0 NormalsMax ZhihongEstimator 1.74083349242356 0.46970695457601 1.52272168812632 0.423635932477165 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.73467048125913 0.47936669357154 1.5398093128832 0.426556170360053 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.71992735232742 0.499799981157086 1.58838957405492 0.434928354132893 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.69654046392215 0.552137443318176 1.74342732526319 0.468925986968766 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.82392534646089 0.789410975378372 2.93311914947874 0.905244949390382 NURBSSource NURBSSource 28 280 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.06283616702263 1.04267503609687 5.16682183989491 1.88472358587772 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.70407713317302 0.52945668708565 1.6715715090545 0.45474391570996 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.70881258728612 0.618285385270064 1.99866517592487 0.552262763216985 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.84693509475593 0.809836482879536 3.12089606853116 0.996061303906647 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.67836175962457 1.66019001358423 15.2373982255207 6.68817278173489 NURBSSource NURBSSource 28 280 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.60054016843712 2.58262624992222 40.6718112218009 18.7503903567222 NURBSSource NURBSSource 28 281 1 NormalsMax ZhihongEstimator 0.667625615592445 0.458870839183917 0.400956576663493 0.976741220354306 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.677270312705479 0.466368648897743 0.426448323675305 0.988104578082801 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.693554348201823 0.483565261712202 0.495967983194418 1.01419316530731 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.742141424133852 0.542676892955304 0.757987437566513 1.16222778392787 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.07094126128386 0.909191219675063 3.69349406622804 3.19851705243886 NURBSSource NURBSSource 28 281 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.46816592311817 1.31936084679093 9.91408885854567 7.29447700055815 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.723077209800564 0.517876156101131 0.64625028743669 1.09753044466992 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.834147485082863 0.647685263414233 1.36345968414055 1.57940201539761 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.12739290008513 0.966670457411942 4.37723267834251 3.64795910079371 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.58300598068397 2.47244785238417 41.9093323121973 27.4064123375051 NURBSSource NURBSSource 28 281 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.57942797357574 4.46812660463818 142.620556813466 80.2991586338106 NURBSSource NURBSSource 28 282 2 NormalsMax ZhihongEstimator 0.436218317772703 1.77532637595765 1.11178942013731 16.6827107979773 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.46118368071348 1.78082666438132 1.17632182623973 16.6579145022909 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.512000159688419 1.7919875019872 1.34294975804421 16.5684836812568 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.646377584971015 1.84569302942972 1.93055340297768 16.514420422423 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.31658220319509 2.34963343501171 7.75593052754234 18.7513601382192 NURBSSource NURBSSource 28 282 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.03756308658538 3.01781106875368 19.4173116216107 23.5380539917818 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.595752186529167 1.82432147094826 1.69105740589559 16.5245982391965 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.850719039681487 1.97638687033399 3.21844100146396 16.926264273102 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.42239461819547 2.44055123675824 9.20753651253539 19.436198031601 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.85283951922436 4.73534718937134 74.0817659570025 42.8698153393218 NURBSSource NURBSSource 28 282 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.35321091081373 7.16626359292144 205.457726859512 83.6975611463209 NURBSSource NURBSSource 28 283 3 NormalsMax ZhihongEstimator 0.170776098255548 0.131751988424655 0.121985987284616 0.148083880669065 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.241069477689063 0.182178293655535 0.18682610354137 0.149296817468172 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.346174370782285 0.312773277432191 0.424079281357481 0.19820852201382 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.643999251580299 0.660342432344147 1.73099853770666 0.440804170016111 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.1598135843249 2.22099890850665 20.8233172426526 3.10257226891949 NURBSSource NURBSSource 28 283 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.74629244941464 3.81081602864153 62.7146597823433 8.4273001159491 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.527656651198476 0.530477702398134 1.12952130897026 0.340306283500501 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.10821599720844 1.14928943222271 5.43663519593839 1.0263846515413 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.39066667321413 2.44201601736993 25.6699829213145 3.79126504603533 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.60054244943183 7.6135280404516 258.926308421177 32.4363114748095 NURBSSource NURBSSource 28 283 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.6381355146388 12.6252736414311 712.726875715589 85.3609921296879 NURBSSource NURBSSource 28 284 4 NormalsMax ZhihongEstimator 0.276346454507104 0.40728442294349 0.240268679884726 1.58579697481814 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.316526246233919 0.45502746605985 0.305805389786239 1.61356816605815 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.390832447269262 0.561947779669524 0.510822452849988 1.71352101028578 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.620046875351213 0.833309853045646 1.53481493108366 2.07817239190631 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.87418270340291 2.11186163469587 15.9714909247957 5.412317307166 NURBSSource NURBSSource 28 284 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.21913418828546 3.45572990974222 47.7494966475613 11.5246067379514 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.521271872191541 0.718983759917282 1.03364755503879 1.91262218425086 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.974485827897265 1.19949298666541 4.14774182875351 2.81030781645315 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.02913294662808 2.24323467146705 18.8658228922143 6.04860451241348 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.42409761961942 6.59360941684069 191.882189504876 37.302984697806 NURBSSource NURBSSource 28 284 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.7899208826657 10.9268580986008 538.788430084821 94.3605302223906 NURBSSource NURBSSource 28 285 5 NormalsMax ZhihongEstimator 0.59383665747223 0.138998424595919 0.482560579179815 0.100780076714803 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.60721114953174 0.190899676022123 0.544496966020135 0.114255663665998 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.635173004707151 0.299713368408631 0.712913227512015 0.163168912588462 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.766720905377652 0.585925247704713 1.48985381606708 0.402970593115227 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.80600197317562 1.90652574830988 13.4762876543576 3.33013692341897 NURBSSource NURBSSource 28 285 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.08074275237281 3.26762870014933 42.0521650185184 9.38475584004292 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.708454507110158 0.474201430825548 1.13495206535889 0.303911823445803 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.04160278269605 0.988197469839527 3.65876833340912 1.03142091832801 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.97682461523944 2.07705941150291 16.5274538753285 4.1419215029318 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.26009038627796 6.48680315384206 180.68012131936 37.3650523591361 NURBSSource NURBSSource 28 285 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.6510297126974 10.9395191401537 523.481931359826 99.1828027126103 NURBSSource NURBSSource 28 286 6 NormalsMax ZhihongEstimator 0.955446033817656 0.595628541652529 0.297623401006635 1.53498522671748 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.953325763603293 0.601525808161073 0.300938021765879 1.54608185474799 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.946284298620348 0.612689281933887 0.30957167789817 1.56550451831785 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.930472690256725 0.642665169836493 0.341369777960942 1.62630202592071 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.964658451220005 0.778503147641927 0.7092608301433 2.0953108230366 NURBSSource NURBSSource 28 286 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.07359900430485 0.918859397489384 1.51163322772834 2.90158624355512 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.934058768348805 0.632067063267198 0.326338904298747 1.60333515518766 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.924140705143518 0.685856571172051 0.41541472361418 1.74032335909572 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.977566189572882 0.800679979277482 0.806785184820178 2.19405804720519 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.4257350202038 1.29939709280631 5.9457276959742 6.58395839036104 NURBSSource NURBSSource 28 286 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.00057429167465 1.87668598589718 18.764824798647 15.7504450610766 NURBSSource NURBSSource 28 287 7 NormalsMax ZhihongEstimator 0.315173105298251 1.4580502715871 0.514019691339026 10.3485424249184 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.342481840421756 1.45513625988508 0.572652516679283 10.247804703267 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.410870039854693 1.45118190635752 0.76530677869463 10.0142512448651 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.591458373020331 1.49091304937063 1.53381805775607 9.79446382093023 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.38180652039032 2.05365169365728 9.29441207979819 12.5345390898958 NURBSSource NURBSSource 28 287 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.18912105853984 2.79656895340167 24.6214448937423 18.6064633097033 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.523499964069365 1.46805101565899 1.20820907137123 9.81161329436502 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.836231095244508 1.625805582793 3.19636455781205 10.1693191822881 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.48516730008898 2.15307402484833 10.9346408455991 13.1713367863487 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.14155638323143 4.73058411531128 92.5475515274187 43.5967982616099 NURBSSource NURBSSource 28 287 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.04190228186956 7.52170135132139 267.590027841274 98.8542914412389 NURBSSource NURBSSource 28 288 8 NormalsMax ZhihongEstimator 0.116041481058894 1.63654954338109 0.050800875875658 13.3275868913005 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.139808659586757 1.65201587688727 0.067429263657174 13.3741953630181 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.193779020273068 1.6745866271662 0.141289340909885 13.3619898327989 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.341137484098388 1.7473544888024 0.56458433976554 13.4950277563605 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.02697863243437 2.26477067388078 6.52596976761454 17.0037020818009 NURBSSource NURBSSource 28 288 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.74378380160388 2.89830961077134 19.6248981328299 24.0084771378452 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.283068070166183 1.71641096888358 0.365084170357792 13.4232178063775 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.547006128951341 1.88307039824482 1.69019835974281 14.148773564515 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.10848599380396 2.34403178915541 7.77900344256486 17.7965284486316 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.44798742554022 4.61993998491413 77.9484553556338 55.6632957885507 NURBSSource NURBSSource 28 288 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.11304210627196 7.21527781833889 238.215666139352 126.913381708021 NURBSSource NURBSSource 28 289 9 NormalsMax ZhihongEstimator 0.333755434369824 1.26664543530354 0.281864863475733 7.59785480748211 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.349675264358512 1.25921176800632 0.307812537125647 7.52495892385073 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.384424966321003 1.24786643816335 0.382640573004694 7.38052811824966 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.472883156712597 1.24940130676243 0.653655730789371 7.17077015289959 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.852764851475577 1.49283842869587 2.96420315147759 7.96130434964707 NURBSSource NURBSSource 28 289 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.24525759967122 1.85111200102296 7.28768993092861 10.1250871138918 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.440234922645195 1.24423734669235 0.544036786644935 7.22166331192967 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.59651158987858 1.30262490836105 1.20594939646025 7.21447493156351 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.916444773005144 1.54737121853286 3.53457450447465 8.25288924350171 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.24000865104382 2.82143313542594 27.0185773175783 19.6746592931454 NURBSSource NURBSSource 28 289 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.7350434362279 4.29439439916593 78.3551051161143 42.5361740727825 NURBSSource NURBSSource 29 290 0 NormalsMax ZhihongEstimator 1.51130983742011 0.37028550099673 1.69174180685303 0.313209864201979 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.51806232005014 0.451588208266964 1.89107481506058 0.460061225137437 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.5542631132827 0.569694191269002 2.44751822994073 0.87987020274418 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.69645093331814 0.819879325202438 4.43590383408084 2.2968628108063 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.56593934861659 1.82459703382081 21.8679207122145 12.6354653315575 NURBSSource NURBSSource 29 290 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.49493668578839 2.7821896581707 51.7664091235013 29.047301544411 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.6300161839562 0.718802626263701 3.44891417013585 1.45993885613407 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.94241871316187 1.12591856371429 8.21090831101075 4.51584142921787 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.68504133527596 1.91327518324503 24.1456265223177 13.1679955083293 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.49381677383574 4.78044722972586 147.600916600981 75.999055025868 NURBSSource NURBSSource 29 290 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.87026693189771 7.21719446386268 332.191361200842 153.545770420998 NURBSSource NURBSSource 29 291 1 NormalsMax ZhihongEstimator 0.489079960222738 0.438555854089299 0.431611957276036 1.13085244089077 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.70389155698782 0.62723297811415 3.13185877952463 2.55312022328912 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.961399321426809 0.881354336104258 8.51656306338923 7.36968041401164 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.49843043779741 1.39642105753582 25.188902963645 15.2506926032713 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.67096613802412 3.5536967083572 150.307811859393 98.1823351687582 NURBSSource NURBSSource 29 291 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.61479339570407 5.42090033155981 322.396623383807 193.491842372153 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.27292050649324 1.20358516190431 13.3543408637327 12.3546322952811 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.19547121938336 2.08610498795767 49.3995332586956 41.1556478701691 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.91192166807946 3.75656986245461 145.900918598495 101.529038738786 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.64989253731428 9.31414810418099 810.691831043863 442.575815027264 NURBSSource NURBSSource 29 291 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.8199593187993 13.7058711181616 1501.4015971841 829.032868190951 NURBSSource NURBSSource 29 292 2 NormalsMax ZhihongEstimator 0.371656506547068 1.5782121646976 0.854840081011774 13.5528308843833 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.517722688095117 1.65076688989458 1.71384593420866 14.0328381454311 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.728433919696824 1.78280948577849 3.99622794873415 15.3106155163646 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.1998791014628 2.12129482517776 18.2457322961757 20.2879546826482 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.03540424023064 3.70616586888151 93.9919479249468 51.0676028910291 NURBSSource NURBSSource 29 292 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.67967105664849 5.33684518658363 180.09262262338 107.911411050508 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.00427105349151 1.97377183435368 10.0020376604422 18.1658912608923 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.74611054932919 2.57498828451226 30.5224409455124 29.7344166807481 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.19583080202338 3.8699655496391 93.1495701615433 62.7978888579904 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.1895706045788 8.62708029394544 465.019718325572 262.793135942747 NURBSSource NURBSSource 29 292 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.180813918205 12.4768116227323 946.579749093275 485.30378916658 NURBSSource NURBSSource 29 293 3 NormalsMax ZhihongEstimator 0.215428195658187 0.14767860610098 0.160633396823342 0.158953679110074 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.460044658478866 0.381009585386995 2.32329700716369 0.812538848205237 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.779685772380745 0.719852591626371 8.16742258366278 2.67652331874249 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.45612334611392 1.44961141150861 21.5458390999684 9.70481519268655 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.21550365984008 4.33580760510011 132.007562672242 68.4523903958202 NURBSSource NURBSSource 29 293 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.74931257345674 6.98983963424392 312.414983913195 167.721276191001 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.22734335834435 1.18870230335625 15.3659354849776 8.2026269432024 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.39392749161594 2.36987087170918 51.1993522770999 24.3616465143053 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.6388396598454 4.60141879238538 162.277575770116 70.7903177730649 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.2780901026571 12.1488561725857 988.578065054075 360.141558992187 NURBSSource NURBSSource 29 293 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.974796709863 17.9685822814862 1993.79238168862 730.734798767702 NURBSSource NURBSSource 29 294 4 NormalsMax ZhihongEstimator 0.290821468514289 0.398904641675261 0.274439758034044 1.55806671553684 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.499392546263855 0.606996393222323 1.34392442780405 2.51721291529314 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.783477287194991 0.900354238240535 4.24169018015263 4.8689446687137 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.41350685577522 1.5359849240026 14.9197202643371 12.1063181563247 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.95762126930945 4.02874177977626 111.871257917294 55.9627453380998 NURBSSource NURBSSource 29 294 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.23657170137224 6.32171011413056 261.159324115631 129.734578807531 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.22710564277566 1.27521856654185 16.5350148327037 8.31895148447301 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.31643469221676 2.30405200656608 52.2984902067839 22.827224891207 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.38216936672585 4.29922109237438 169.307373331606 77.7923550606963 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.0263069467983 10.9568155886902 794.876845100071 360.61363016328 NURBSSource NURBSSource 29 294 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.2978714436679 15.8498017369817 1636.45772387351 527.549342741451 NURBSSource NURBSSource 29 295 5 NormalsMax ZhihongEstimator 0.513619005189774 0.166362677475155 0.475293321111434 0.14276276669501 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.711381597169822 0.378094697144644 1.87873163433037 0.93714491737592 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.96268707085846 0.684317216150126 4.84712278414988 3.16870909046912 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.53573521036553 1.3435037453661 16.680059014773 10.1952948224741 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.97581337962936 3.92652028293017 116.717798906636 61.1016105013553 NURBSSource NURBSSource 29 295 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.21596741267175 6.2534409471556 270.21461067742 128.680817392536 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.30601036743453 1.0819850846273 11.6430513956705 8.10124550366634 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.31568881026488 2.15883467727172 41.7130881747343 24.6845508817462 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.29771267937067 4.19902837881308 136.176521461228 71.7781656990924 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.1333861250015 10.8364579389899 855.670771039438 303.82085396615 NURBSSource NURBSSource 29 295 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.3818730639006 15.9263448282542 1683.97359339035 580.734000653157 NURBSSource NURBSSource 29 296 6 NormalsMax ZhihongEstimator 0.723298483889685 0.466863132702555 0.40042927807849 1.02271009000932 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.768878684450043 0.532905833092762 0.615307647835404 1.26223044977785 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.845160928049655 0.638426517956728 1.24081167449824 1.87857249910864 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.04398794811426 0.882475418139068 3.45178325530944 3.82593330615701 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.00889313855563 1.92341216928843 21.7516987130156 16.7017939481563 NURBSSource NURBSSource 29 296 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.96738655041537 2.92696572549486 51.2019532761678 36.3234656206369 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.96947239620025 0.789346278813313 2.35636109172468 2.92121929352933 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.33604264170505 1.20549430249113 7.42184699206694 7.02141426062348 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.15351975506949 2.05953475542823 26.3879241966511 20.7111526002811 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.14185103064561 5.05031442496517 173.36553474283 93.9784902871942 NURBSSource NURBSSource 29 296 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.67642414109869 7.53083936585033 374.861829392727 179.379593081849 NURBSSource NURBSSource 29 297 7 NormalsMax ZhihongEstimator 0.242890673496139 1.30397733719389 0.311604720556963 8.44702523593569 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.435944198203409 1.41113240451092 1.99924552807822 9.62577798272363 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.704759597423204 1.56447865537052 5.08698076054596 12.282788852463 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.2771252455677 1.94440685838057 15.617061486792 17.462616786356 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.48294907947235 3.83944657067986 106.689530056536 69.393215120903 NURBSSource NURBSSource 29 297 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.47507387965377 5.68752916282662 251.226949176026 136.274614771147 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.03991886876432 1.79304439399087 10.3273640359991 14.0586556978661 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.96428014954308 2.52410030887342 36.3732094731905 27.9153427261293 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.67795360300238 4.08802085902853 112.491813869903 67.9198744435874 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.41292787464965 9.7079164526456 644.675519453645 332.633339613993 NURBSSource NURBSSource 29 297 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.8974840360361 14.1445521369939 1291.63418330491 599.812277670993 NURBSSource NURBSSource 29 298 8 NormalsMax ZhihongEstimator 0.130211083825532 1.34613879371658 0.0811946342064477 9.60217956305308 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.328749353355245 1.52825665664089 2.2082359386361 11.7559782487885 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.610362643720773 1.75369312525099 7.12318830107084 16.0246025703115 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.22600446936365 2.25643934553737 23.3340394983728 30.2205019735336 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.58611695808123 4.28491065967609 152.071423002152 99.5893431544169 NURBSSource NURBSSource 29 298 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.61661834939495 6.22289595596689 313.787876557591 213.98785330658 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.941302896757822 2.04711284010514 10.3421252193597 21.7898667125653 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.89485320728257 2.88610793897807 39.4366603430494 48.5971041613392 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.73603502670597 4.57607311960219 140.133091919345 121.560802416211 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.63021856611115 10.2240426256284 773.059800753172 538.682667237713 NURBSSource NURBSSource 29 298 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 14.1077742971441 14.6098037957286 1680.34189715691 959.796130696925 NURBSSource NURBSSource 29 299 9 NormalsMax ZhihongEstimator 0.24791290537334 0.964910178510912 0.194175808996076 4.80385239286919 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.381966921784122 1.00353197507896 0.59852897468008 4.96416452463049 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.561649702883111 1.08742757254487 1.72307112702307 5.67835906184118 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.933624898794617 1.31901868540214 5.4128866805941 7.7576400738291 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.37260198907747 2.53194506341663 35.4403582576533 22.5317400223012 NURBSSource NURBSSource 29 299 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.71209800316953 3.80102241726009 83.6427650303543 45.4381466925313 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.790720045040344 1.23847830927305 3.98233100066518 6.84909296481708 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.37495128019331 1.70752093587175 11.7416414467107 11.6306151204028 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.52757222258883 2.77363352152483 39.1556936252361 26.2690411246733 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.574707956915 6.76431754994106 249.38381884881 113.368494856498 NURBSSource NURBSSource 29 299 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 9.89177050613892 10.0363408458818 542.868177575176 213.526228615764 SourceType Source SourceIndex MeshIndex DataIndex Distorter Estimator AvgK1e AvgK2e DevK1 DevK2 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 NormalsMax ZhihongEstimator 1.98810806482995 2.04574692418247 572.785514636042 882.656682700701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 3.06424868740904 2.84903403061146 4716.91736336198 2160.95237308872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 4.83395831590284 3.56278258725008 9032.29359377355 4114.03183972153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.55412808297877 3.78633967719759 3537.04320918782 3100.09639307985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.73376656236076 5.30226238210597 2059.34468649727 5061.44033051656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.53004490772495 4.22648309776977 1230.48778761846 761.367912140838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.71288120613257 4.05943914781114 1840.04065566385 2415.56609850956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.78746697332863 4.42865800919765 1401.86501932113 2275.84579523304 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.02356549890831 4.31295399382575 3141.88414983789 1204.57474498273 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.53908695367999 3.87140452463279 945.668680673706 430.660385682242 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 0 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.13178491733778 3.91659354944591 486.955571169268 622.482090198942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 NormalsMax ZhihongEstimator 5.24075754746525 5.57124776374054 3237.73406529892 4123.70824364257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 6.82160422275653 7.26736832714975 6856.35610791754 10579.4856725702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 6.85585582209643 7.55279207436932 6106.52216077729 7155.80107947473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 6.23760019169494 7.56877944381871 3507.28025297282 5236.89760114714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.14051219854268 6.49057642574019 3436.08563098218 3263.20492448091 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.16691202698338 5.75371010331195 1933.60392685141 1145.03162719082 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 7.20759648841069 7.26676618007861 6926.29781244734 6129.55879094945 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 7.09719904887185 6.77317375388749 4016.746705116 2742.91813397289 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.31057416921784 6.18985666886374 16529.2757108794 1350.32800524729 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.57363233408586 7.57808196921431 7188.06001990407 27755.7236638675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 1 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 6.45325083970817 5.05979020880955 2936.16297244434 457.629258825261 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 NormalsMax ZhihongEstimator 2.87835897037623 3.21131268493681 1128.74762914064 1183.42076203169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 4.45014809334852 6.14310800310594 4873.96121638588 7094.07264613585 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 4.70740235085483 7.69946691667164 1873.21108065065 11040.4920095255 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 6.60275394208054 6.71372707824267 3877.70710319393 5299.95673253896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.98974463668709 5.60735520677439 1995.27355198044 1414.10390528888 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.42254988721514 4.79664936983707 3898.9708518043 573.51574985678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 8.04032137118508 5.85935757579145 10065.1930459758 3501.48251950764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 7.27631759422739 6.84880003707988 4795.92719136038 3719.12171041736 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.07276404804404 6.10306227553285 2060.15270684474 3560.76973551097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.21943172485015 5.70236534286199 720.175759960353 1315.34594413432 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 2 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.08758718386298 4.47135107454104 518.805508698604 194.141254084916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 NormalsMax ZhihongEstimator 2.97049298546532 2.87763339854985 1720.9265472857 1184.1553916509 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 3.31446813370343 4.83430859009155 1424.57434439244 7012.43614587529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 4.68330590753858 5.16713084442089 3027.03338588483 4181.48825987696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.67044008311012 4.7872758524479 1968.50395881243 1888.30592815676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.5773198100512 5.51541988477105 2491.38197646913 3548.75026275407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 5.4614323321536 4.54298104571135 1852.57964794266 1004.21262024114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 4.95244888966461 4.65731787636628 2900.21239981885 2402.12728589547 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.59443653082318 5.23312244434035 3079.20898763564 2313.35821535692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 10.5066955902747 4.73282290012813 220972.107701625 2322.10484272971 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 5.98870790403225 4.92841653839033 4623.96283662403 1292.12597391685 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 3 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.70462154758658 4.6961406570495 1733.5359210582 944.852526240475 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 NormalsMax ZhihongEstimator 2.07308972570141 2.13027031587697 160.652303977704 231.641894092163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 4.65656640755746 3.07192422774999 10173.2468001356 911.82275600051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 5.1860696142514 3.48194065673813 6805.36973390881 1288.77768783536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 5.04188667233963 5.06269652851201 2822.73742789239 5145.70092120552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.63311891175143 4.32271940778642 1155.02603479785 984.311642069579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.34065473406215 4.51777674380784 771.610418694195 773.939103593307 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 4.10648262115842 5.78775403210367 1497.91672389412 10251.2134068755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.43598867742136 4.34268765222625 1734.597046553 1150.46987027944 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.95204678315658 4.4807672963548 740.306588185582 930.134056555675 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.23893831348029 4.61154150948717 571.539776411449 500.883751987894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 4 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 5.02398728320277 5.84983487841722 1185.32100146267 8236.85167686754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 NormalsMax ZhihongEstimator 0.907774572392961 0.976773638746587 48.2063919840105 37.1209812849804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.51399212856316 2.31955848815984 1472.28180442864 6544.85771010713 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.90492008184297 2.1053350857488 1992.49744895948 2264.0930131851 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.17802872376165 2.76961114392759 2221.62297400172 1877.77407257886 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.66832245983979 3.34799844332591 1744.04343395117 2136.98626476338 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.50108542574214 3.99324061717902 517.581909292427 5268.43640143252 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.10531681417556 1.56471059947839 1334.26858474031 265.58909670804 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.70548605443254 1.92819188933667 1416.15781786461 631.393761730036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.60164571530165 2.40363233611676 660.410071332798 736.180213003112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.61152892766174 2.65066653659448 316.575849438649 628.021560400946 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 5 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.40169713643144 2.58347612228897 110.439084286177 101.289182572546 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 NormalsMax ZhihongEstimator 1.98384154159363 1.99167095920678 624.372995954013 825.825999872837 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.85724982941412 2.8122306107787 1958.47296530344 2904.1023740701 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.9335254156473 2.88660098048667 1711.15185307528 1125.02341824247 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.67791976232767 3.94484961574501 2257.77628784508 2223.06722815066 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 3.41035427775781 4.07173854860692 822.880206217694 1138.38614561865 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.60935234474579 4.01069086232663 555.559194187618 677.024459143482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 4.08855487964809 3.29712046748181 3382.08088588683 3463.2651365283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 6.27734196791166 4.15321983667524 50610.8822987081 5594.87289902495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 3.4944153309045 3.90189392259567 1037.57273681725 1264.72986017913 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 4.18739593702255 3.9443661933393 790.29899778661 568.418996196667 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 6 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.03136259075513 4.33361404235921 486.010338279079 757.402684689465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 NormalsMax ZhihongEstimator 4.15362303989918 3.5775402130212 4198.44283472688 1697.09920724274 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 5.62970511186364 4.5019774415968 8709.35774415024 2484.37023648767 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 6.53234526261979 5.24495205419147 9762.8509417694 3867.69550088195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 12.6309636002768 6.73848767648819 371750.701329514 29872.9555064188 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.30237315022631 4.97419196239606 2049.80247249262 1573.49278662266 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 4.57859115477148 5.01270329012727 997.991493346459 1739.56461949659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 5.45191936021495 5.88189433466738 4718.23927588055 5814.99824005657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.24055199839472 6.57807393545028 2811.44110203618 7334.56752786102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.20418662673266 5.96583199514276 2417.74555911903 3135.53409417679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.44540088566877 4.03834362095816 120643.049414167 328.867742971308 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 7 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 4.20092850763711 3.86367527022941 599.477448583545 252.037124659008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 NormalsMax ZhihongEstimator 0.83418452331383 1.08661289774343 71.3404278267443 338.362450944639 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.73837387903169 1.62963401907497 2811.55500452429 847.898731737901 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.52002341047438 1.72188251844777 4552.80882570321 520.473635183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.57990544686713 1.93166854212289 1675.18186934901 511.121801449301 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.48200253287036 3.62147760493708 953.729467898218 6438.71625215302 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.05525946582858 3.7631800871913 1859.69170940328 3860.8724168199 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.21823163863699 2.13652376247728 2104.31026968297 1731.26483533074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.25742928753155 2.28515885942083 982.905639495005 1634.89276821582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.16018746685622 1.81886111526991 478.854166415324 201.980936792315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.97781746828581 3.5298545829374 2141.5214791332 6019.80782442341 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 8 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.60749323296458 2.69381770066256 231.745861220733 327.332156928881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 NormalsMax ZhihongEstimator 0.918962152665987 0.95614724438182 73.315452335396 116.581019028339 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.53930002865409 1.50694601310249 2651.96221592082 674.578833143167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.10457096064352 2.11175078787094 1864.83775081519 2582.18973177526 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.57181360360239 2.39957962333089 1814.00174729464 2045.91058615657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.92704273759031 3.21472623699043 4185.95192419591 2263.68695942873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.64105208987045 3.36638235562109 314.244778743039 1280.00912572145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.42834241610245 1.94344695088322 2796.18844829128 653.816530947046 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.73978276954572 2.36821760994509 1433.05108710738 907.332854750814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.81240906575139 2.48211320496959 673.84804220163 539.380210264077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 3.29633066653806 3.25330349021605 797.452489979142 1251.41314348401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 0 9 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.23168136105824 3.20252802580621 353.708874999927 384.870990673862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 NormalsMax ZhihongEstimator 1.33071354879676 1.38166924320321 48.8487148192968 54.4606384780609 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.84832602221606 1.90645429315727 200.959093841682 195.701608578007 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.56844041933177 2.6059848257185 563.925300912921 533.704472104704 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.03962285120666 3.90975339994876 1647.29127240935 1199.05126109904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.30880896139743 8.84213498544015 3345.16602012618 4064.27967362943 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.6552072923319 10.9498642913053 3842.40876208186 4219.60751557514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.36287589130872 3.46997604040425 906.770116768071 1103.24188606896 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.12159454030293 5.86985971687494 1610.91213664769 2893.23055197238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.7719840394491 8.74050444199574 3475.34434392707 3370.34684370121 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.6749197647944 12.067278143657 2796.00803765761 2218.83748936679 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 10 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.233406182413 12.28360162112 2554.69313202335 1657.14071465673 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 NormalsMax ZhihongEstimator 3.35302900480598 3.35317497864603 382.977298574453 360.964815546291 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 3.82664546131441 3.77325587482342 553.464542767142 434.239196597431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 4.4949560535954 4.41002258274496 911.048670227272 642.920763894758 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 5.86803126246031 5.90977808970502 1929.9732957858 1609.11760673522 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 10.8881835767149 10.9801007360106 4469.58373648915 4214.47743281144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 12.89859745464 13.4275842500498 4331.79683508862 5412.91901334595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 5.12640926866613 5.29419720596573 1203.95958214623 1483.28480871434 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 7.37832772175372 7.80457222818531 2508.90577314687 3522.93573295005 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 10.9621284946148 11.2704255479831 4124.20379363775 4372.1452304064 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 14.5548438377089 14.289142427894 4071.71708723196 3296.1696196787 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 11 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 14.5751375018151 14.4287872084626 3691.26003071281 2139.74778276448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 NormalsMax ZhihongEstimator 1.67937934869575 1.65862614678761 106.01181861231 85.92636213068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.28153941036835 2.12024375938793 270.481785688289 172.508361533445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 3.16555502996272 2.84833151799196 850.7462142639 412.111695176832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.65188942818343 4.4186067686083 1653.9398738869 1271.95242200916 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.97365749610201 7.65827055988716 6075.48927943013 1970.0062296583 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.1235032212836 10.3843939549705 3299.36113126811 2962.78933889941 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 4.10994810901319 4.08100130892587 1404.95748297564 1267.49798318491 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 7.05605704328937 5.90241705125827 4307.28189394306 2191.43407038903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.41402914462952 9.24579284646239 3476.02696695973 3319.08498108939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.9858526628098 11.8240330707282 3002.82077488923 2443.46024139453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 12 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.4739595197746 12.6349354355095 2435.99721218795 1938.74178998167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 NormalsMax ZhihongEstimator 1.64000308212865 1.73623036220885 129.489181897335 149.930521403929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.37466101679265 2.47437197203854 564.157647511074 460.391070556498 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 3.21778981236858 3.45561219908905 1516.96908029685 1194.27640997028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.64780697038191 4.90020754764326 2806.98368084005 6194.98027699802 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.46264800053024 8.22233187825816 3780.99964305505 2436.40091077764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.2161046731821 10.6051827080663 3493.38263095388 3179.98165135602 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.9157399635801 4.02572311526306 1371.49208822391 1428.03888956323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.96371420866864 6.17781124657862 3002.42200404119 2951.31654248419 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.65189000198171 8.69989372016006 4407.96160160861 3036.17206732315 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.3628667484923 12.5132277773062 3910.71054146201 3091.10394779195 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 13 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.045196975005 12.5661825906526 3696.49056730962 2145.59555843389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 NormalsMax ZhihongEstimator 1.61727188548953 1.64232680028805 83.2104374321258 84.9824552131947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.10953196028912 2.17205397611948 194.898187524633 234.171114772486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.85438444284674 2.9167299738994 500.333845908943 733.397685710223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.39580402217999 4.38807486553228 1253.01132163107 1545.74787336969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.531502780715 9.28914721311768 2987.55554688031 3570.17219078511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 11.0650520571637 11.47420463172 3339.63928467496 3604.41765719642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.52024967630167 4.0029873793367 620.595696420504 1108.2458911766 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.99943323278146 6.66319222596009 2123.83478758499 3019.29561543086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.77890744224053 9.90268651216771 2706.80121521699 3881.84847122482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.3835573953733 13.2506031862967 4137.31989107697 3228.67705475249 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 14 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.1876499111653 13.5876825502113 2651.980027165 1924.51989338694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 NormalsMax ZhihongEstimator 0.867508330373563 0.792409561778152 56.1233766956602 62.5557148538743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.30573858774573 1.42861341308044 199.179198581064 360.650222568991 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.77241376996649 2.06638550506904 576.72472634169 1424.66679934295 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.44058662100941 3.16794049253572 1024.21179099163 2906.87476778965 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.81998671717608 4.99467041298836 2559.16185196173 2256.13481832529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.07686905997872 6.21673204846264 3604.65623821628 1982.10954660119 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.36054592554308 2.35736030946212 919.327002800698 1680.99996717346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.86962328305845 3.53347540789774 3146.56096155713 1860.80580006714 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.15692203628889 5.03248141397681 2929.22733349859 2176.47817526887 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.39636727226137 7.70534258224367 7336.19861498995 3077.24222301197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 15 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.40724848052303 8.13017243973862 1109.87607003029 2357.9701904493 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 NormalsMax ZhihongEstimator 1.22624008711678 1.24902295228108 58.1345405931498 56.7578890434578 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.7382433299238 1.71013122686153 251.65686902031 180.876229562108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 2.41112974835745 2.42174264910223 763.596894354665 675.209783330448 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 3.58680047599465 3.64484313471504 1403.16588076496 1250.92597554439 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 7.66907443985262 8.35237717141877 3105.38077599224 4301.12029231099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 9.83361217202726 10.0800158486129 3416.34622082859 4005.44301496098 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 3.26084012041524 3.44007348294062 2442.28218216808 1476.4038049788 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 5.28214718961365 5.58307359393034 2702.18427473115 2607.15849922233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 8.58762297716311 8.51056385453937 4118.7491451106 3391.5192779417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.5027140035106 11.6179248538211 2881.38052676517 2404.98780014921 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 16 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.828652398465 12.2563734366986 1952.41617327651 1985.83591585334 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 NormalsMax ZhihongEstimator 2.26857570335776 2.36361746441795 229.675179919978 253.126677035868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 2.79121304009172 2.88490014090758 431.198965120083 471.548181109485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 3.38713394616433 3.54282448118523 632.224348726619 1122.06368635473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 4.73866614083344 4.68526388066303 1534.08012538373 1723.17355392162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 8.86357450338271 8.79670393873005 4099.99959249502 4162.76188115603 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 10.3144448381072 10.8522759588916 3370.1879082978 5909.84064442809 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 4.2169472482025 4.17563476408857 1605.85755550694 1837.07374991529 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 6.09197036905816 6.03339047467354 3040.90571060852 2395.40026338496 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 9.07176035885675 8.63142872192226 4198.11302815655 2907.18344504198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.7213039118746 11.4887679627688 2893.44351135932 4138.61914371107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 17 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 12.1319897714824 11.9623958926775 2383.72450007352 2405.30372983599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 NormalsMax ZhihongEstimator 0.55499697688337 0.573305105965962 25.0971828461275 25.698871249652 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.01419008038799 0.926875552171808 253.274612297299 178.830093942133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.47691245896748 1.34286270779404 693.014932788993 721.44636904178 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.35122839041974 2.1654746305402 1353.50463790408 1093.01092944969 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.71023646148861 4.47849392339619 3043.76634941323 1771.70560694721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.17018460173481 5.71383140915913 5197.00487840016 1467.63403101229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.11052271078717 1.8205960110169 1485.15058518522 855.045616437514 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.15613667508107 2.88547932952998 1782.79814876537 1662.51869249049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.91332841965601 4.73255946205621 2451.09173595981 2816.0731084156 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.99909765559411 7.37094209960957 1567.26532210658 2169.21637875401 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 18 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 7.42482708507888 7.80821350194536 991.93251883222 1108.63498762782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 NormalsMax ZhihongEstimator 0.610544454375891 0.607732038002316 18.5280084079131 16.3414290292661 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.947407535588765 0.944854138712034 70.4696961881108 61.7436291277021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.38610611775212 1.47068633607433 220.109427045662 323.072779646271 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.3075309542978 2.54581417346937 763.565091217776 1204.44248064996 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.22408019291665 5.7774898504089 1954.37111123319 3278.36313667074 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.01340845771613 6.82830290174037 2747.52279581394 1831.15120421348 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.12966379110451 2.06150280934611 1089.31955884602 602.456885040305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.62399805307158 3.54645677880973 1730.58638365288 1905.77037833169 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.87186629107845 5.6664897279336 2351.1997890576 2267.21649419812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 8.784455023806 8.40355537054384 2537.66124630103 1730.72533222998 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 1 19 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 8.98612409958802 8.77722359425244 1570.01100533515 1071.87919141214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 NormalsMax ZhihongEstimator 0.333364836559216 0.304706601381088 0.489875988960046 0.325285813762219 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.875838020646048 0.835878249994589 8.02832438370904 5.89843454041035 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.3785578536738 1.338173710782 19.6509115718452 13.3066079079285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.31277565637601 2.27164316025642 46.4581985009561 27.9934322772086 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.23411767565362 5.19056134105464 171.028247378797 76.4493823457873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.40783568106642 7.35104315664614 311.65132586505 108.485444556108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.96992566475102 1.9679850973654 34.7418959158535 25.3342325127882 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.28445352051441 3.27003271117075 77.467777401037 41.9133409778892 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.44847673408689 5.47435066417161 178.027667471266 80.3083522772292 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.4047054130304 11.4117967901099 685.803784324723 208.503315164598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 20 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 15.6656244365891 15.6892885088337 1272.87286291281 353.671686480197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 NormalsMax ZhihongEstimator 0.689812281158615 0.727130563945331 2.06637626716802 1.84462763489928 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.31695588076927 1.37135393644652 15.2607622367728 13.6400140985555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.86780732826258 1.93746953728225 29.6546495538589 22.858307060062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.86197637611976 2.93764724426927 61.3371885671425 41.3499290211399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.11222612312775 6.20491041756268 229.948013303296 115.163073131322 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.60305187791475 8.71023836226562 425.15450892826 174.151164852026 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.50625856839898 2.58322775989599 52.4243393083921 35.6053812510466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.00605963860435 4.12083238333703 110.763948734079 68.0220095942769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.41813093997389 6.56715861183715 250.43232709274 122.873465999272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.9845963332142 13.2938797981362 892.467150392313 313.926137936599 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 21 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.8299963808013 18.1327996540555 1671.17904658653 517.885716951445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 NormalsMax ZhihongEstimator 0.287701548581369 0.262756068874206 0.448080665559 0.299389854357769 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.09171480122627 1.068000772056 12.6324181073492 11.3178675883331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.7421302092573 1.68655154161569 28.6613440353548 18.2967098866904 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.9111273259688 2.81681109484171 64.0102401538875 33.6134741121137 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.25340070147216 6.15238101005161 224.083325569602 90.3286799864625 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.71264934585429 8.64852037419137 409.587457207352 145.333694504105 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.41092571555404 2.34033995221259 46.6828985316043 25.5496887671389 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.97935700755245 3.875864096608 106.851728561612 48.4716760791192 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.35866082997511 6.29616260059872 231.512781819811 89.0072352836903 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.5544135820941 12.727996905779 805.762406371366 252.282600496287 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 22 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.6668381473634 16.9854853764949 1404.18225332954 388.864424313113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 NormalsMax ZhihongEstimator 0.157580904377867 0.16944153861709 0.0886860031123998 0.0919849278701225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.00872043291989 1.01269316342496 13.4001297265702 11.9495788673263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.71774652924227 1.71678273492898 32.2607854586012 22.4110084469264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.93803697135739 2.91344593627412 70.7101980146612 35.858939388966 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.4147064342765 6.41580230765201 244.059631990273 100.111386188075 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.89930082061799 8.8891266153976 452.900475231169 152.281922678716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.55271037597894 2.51232041993073 58.0604580475218 31.8633900236732 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 4.19154524948312 4.20015122422624 123.023800864094 69.8472451528454 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.91790433076863 6.92532392038777 324.361948805467 143.598677220752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 13.6568755007771 13.4953261149356 1038.98557472753 370.572652520039 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 23 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 17.6734206530623 17.4640598261188 1687.90986452791 501.513034976747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 NormalsMax ZhihongEstimator 0.375237878850509 0.35456285152397 0.605743238103707 0.469177702782818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.08616159250502 1.04305971722397 13.3552080125458 8.97163297075468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.69973846158027 1.64962906905646 28.2882914171838 18.1134657275615 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.79672777891588 2.73087707848586 64.0153865030066 36.8084454493062 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.10353908542941 6.00475458462441 235.256759309916 98.0211948534738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.47799078795536 8.32640647445582 414.140224212539 145.878028526223 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.38126631476779 2.29985562223363 46.771928881785 30.6251202298237 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.9524164258512 3.81727640446706 113.192243511495 58.2656313494633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.38732017703495 6.15388150316539 249.752582923153 95.087719092923 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.7198669840216 12.3539403263416 867.983300910134 255.740145772163 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 24 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.9905384248222 16.7327453767387 1490.87298350551 430.421099921889 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 NormalsMax ZhihongEstimator 0.333827331295479 0.353796223477404 0.56711765003978 0.491565518435323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.02620791024824 1.02085054188935 13.7823596665821 7.69611662071239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.65292272449702 1.63147551323841 28.3819429052787 18.5464092532033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.73598219315175 2.68135574119954 70.4258161585394 35.8182539179056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.91721791279002 5.80359224895082 272.577073231586 124.805151051172 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.2518740256523 8.21937603577313 502.96801715511 232.377814089328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.27632783419082 2.30193851504213 49.1099693574317 29.1081988320681 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.78563236591627 3.81872553344583 110.44839569598 61.9395406500897 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.19981795060984 6.23698463428258 284.248875728182 150.447314517894 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.4340386064328 12.5495999132413 974.088461906771 387.328771450462 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 25 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.4182322045866 16.6680889283701 1524.93410847223 576.701676297214 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 NormalsMax ZhihongEstimator 0.297458099550303 0.268762371915656 0.389663801004024 0.311261936101752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.89127487429701 0.85399714656585 12.4066567032438 9.14798883585319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.3874679972628 1.36701223532237 21.2351813710668 16.7452580673759 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.35690847705227 2.31985187532577 47.9980623569851 30.4605208123644 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 5.21175767138918 5.2197868692649 173.763397622532 79.7333166558533 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 7.36908305406508 7.42928635158328 311.599102328616 120.41626783742 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.00778725908891 2.00226962570457 38.0511786004441 25.5535326831947 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.35660149881578 3.35456150503689 83.9841463267541 46.9718867091708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 5.64588191063712 5.65289441808249 200.42505043277 93.8864917879097 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 11.3920041653974 11.3724973759807 687.730543442617 225.468631865297 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 26 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 15.3696832138256 15.3395588100181 1208.33465763259 340.47855237482 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 NormalsMax ZhihongEstimator 0.5510075073802 0.508636088923748 1.77826062442564 1.32165534670495 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 1.20535838581874 1.17884849642605 16.7468792819758 15.0599856961643 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.79397005541562 1.75649730251939 31.3769305409423 24.5410040260743 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 2.82562117600754 2.80620892414476 63.0223370431283 43.9016702545536 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 6.07057907422515 6.05755780981584 239.26250932218 119.587948385908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 8.52328530800412 8.51645106653146 438.131641925642 182.780470413808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 2.43056172306236 2.42527555199485 49.2665651881043 42.565893225405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 3.95797945420824 3.9428768144374 113.444115644741 74.043585885579 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 6.3434559337495 6.35809611441205 251.640076380818 131.558102037958 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 12.627334241076 12.7484695245862 911.784370799332 339.633189391853 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 27 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 16.6007671068665 16.806402026777 1466.19059807499 463.567971731264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 NormalsMax ZhihongEstimator 0.231666013794285 0.180602485554365 0.207788874907846 0.160627704011825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.699210566718055 0.65542780280007 6.27886579014733 5.37446590675272 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.11828148353633 1.08880477557953 12.854471027406 9.87732038110989 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.91050884644081 1.88937240722066 32.2009882133961 18.7848672739963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.40400376939088 4.40298579535346 125.027816715907 56.3887969946629 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.34253329065385 6.35126815677553 239.321119384947 95.7968570219531 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.59327052774277 1.58281687362762 24.3178095175702 15.6860259838089 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.67154152496931 2.68721793228627 53.1461088547757 31.3642930452571 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.51671210450325 4.53995002813675 131.12181858511 57.9074807213144 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.85390773197115 10.0184806966978 528.380915821319 181.57028895391 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 28 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.6161063949041 13.8195170476242 959.017331592459 277.398676286417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 NormalsMax ZhihongEstimator 0.171814979293708 0.147480377082234 0.149104256822744 0.0990960488926112 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.669277821316495 0.639077378217282 8.01047603401816 6.34146084400623 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 1.08609778706615 1.07302498702032 14.5355135938502 14.0997993725799 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 1.91459479725947 1.87952366112244 38.5699390103932 25.6223425583029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 4.39286182295167 4.34157518859881 135.300269555693 66.3935422407963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 6.36671712046891 6.33324815719065 256.563843420431 110.649197623668 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 1.54026234792195 1.51945140578221 26.6039303338151 20.1338423405387 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 2.69548680105108 2.65611655068619 62.066562524352 37.9758120116771 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 4.57948976099957 4.49697983950801 148.29810994817 70.9304739153239 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 9.66826886856094 9.56616709828016 518.464812578768 168.360066492957 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 2 29 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 13.5685552910613 13.4808733310267 970.618044853521 269.43241799552 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 NormalsMax ZhihongEstimator 0.230140905285865 0.194255594589147 0.964565396229945 0.144214226313238 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.227524987292673 0.193803254937482 0.745940496241995 0.143929091341614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.224479725856143 0.193873126955086 0.495479542291743 0.144042742321049 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.21573779383706 0.197614746639319 0.170887022639891 0.151545175480818 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.248016870985281 0.227157722338825 0.248671691291546 0.177896731962563 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.293977002476136 0.627380630536306 0.407751261046842 212.700932008269 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.369927956762925 0.198962734189183 52.4663526435955 0.148402612841316 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.421660559645156 0.207692461776585 85.1681184170663 0.157073404966931 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.274685681536819 0.254925281721606 1.20494178359673 1.05338047042443 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.479549253136379 0.445560774626187 1.85193582344019 0.517959593620868 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 30 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.747462319940704 0.710516338281785 2.90689468505992 0.837772695775665 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 NormalsMax ZhihongEstimator 0.217093047289424 0.233459248326495 0.340958933244767 0.670607061539218 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.217002404924309 0.233476800166698 0.33782518318077 0.663058197993476 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.217819351279539 0.234335053394692 0.335936222478287 0.656178488169029 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.221380222908821 0.23896216752694 0.335475297449958 0.64452356368032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.256335155245201 0.28053655828795 0.376053213585062 0.623098256990283 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.311556514816767 0.343005078038549 0.483939046056944 0.637364063060814 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.222579284645253 0.238541901379363 0.357779143099017 0.711741646841884 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.235869656616513 0.252288801153084 0.38584941023739 0.762738293337225 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.27654988513966 0.291776789328429 0.475794631826913 0.895124413466812 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.518204359413055 0.551672221272216 1.35361328517473 2.39508961954117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 31 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.822374391414754 1.02951014544698 3.21584075313231 38.7858299276123 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 NormalsMax ZhihongEstimator 0.232687797954417 0.244187726105855 0.201455208194372 0.201750522047427 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.23343727243427 0.243727408705532 0.202910177543632 0.197687164466233 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.234830210491364 0.243632096995196 0.205582020271639 0.194234229778151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.23907773405419 0.245150451057556 0.214483457576357 0.18927876289918 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.275721169208884 0.273493195335153 0.300568518426976 0.198486244081293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.336411532028394 0.327408695891888 0.482760728289852 0.250082419706366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.235576720060986 0.24732521690398 0.204989412324963 0.203172458099635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.24413215600844 0.255710323362025 0.22104268104459 0.20924928307986 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.275317214946648 0.285798477750056 0.292214618229121 0.234781910593311 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.522868299706284 0.507947562757991 1.30051958785724 0.494930421902198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 32 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.86274583935483 0.81686047165611 4.8473243555681 0.964852631371407 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 NormalsMax ZhihongEstimator 0.0579677465835186 0.0560737231650106 0.0197874842235947 0.0108528281119696 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0592845242091819 0.0569641952470568 0.0211041104355526 0.0112989179742489 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.062013290139717 0.0591176577039375 0.0232646667521923 0.0121231338665107 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0710950938101672 0.0671764401800678 0.0302944499975768 0.014963138549843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.137099101535973 0.129749381804307 0.104815098233939 0.0416951449881077 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.228040925769299 0.219096378283517 0.279865944641157 0.0958460768319263 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0658219552998772 0.0649727553565901 0.0245987373137737 0.0140290370485011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0859545129356899 0.0864577074840338 0.0400738445776952 0.0229573307917474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.14573537129228 0.147344892257575 0.113971226207898 0.0607370490055532 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.486936070817123 0.486311360861953 1.24026336185054 0.418358451532738 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 33 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.868353453901541 0.861470736728415 3.8107092045827 0.894967484893087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 NormalsMax ZhihongEstimator 0.0924541242751701 0.0954621489702736 0.0430899113058499 0.0579726550636985 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0924397184405003 0.0961034786440445 0.0434367590762242 0.0591005742627646 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0932824221870773 0.0977107964574317 0.0443824922408542 0.060508341191881 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0978957420821935 0.103850982124418 0.0482197247389567 0.0642490109001486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.143251617806342 0.148931993620428 0.0925581732948152 0.0899303649436151 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.20818820032658 0.212639105144237 0.191647284094092 0.132328054449817 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0985631561954428 0.100849239396932 0.0485351329717611 0.0658094159753397 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.113441576230543 0.114044974352524 0.0622755617462844 0.0775823159627318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.158261110973244 0.154272930099766 0.118239734991677 0.11208404824321 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.430961319914064 0.410702492522732 0.896241707814756 0.334840429479268 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 34 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.754304666427891 0.713132844448254 2.76564172719977 0.591106452857534 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 NormalsMax ZhihongEstimator 0.466729941951957 0.500663240084594 7.16900373027907 1.76301318381468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.464984682858994 0.500898668924559 6.7612816760458 1.75183397134795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.462291092263878 0.501748335320945 6.15249904085677 1.74364206112678 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.455207667979546 0.504883939151549 4.5441857815257 1.73459505957588 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.445499589579685 0.535227434181541 1.33647492519634 2.01359069089068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.481442438447027 0.588264572159882 1.25178271826875 2.97545283923254 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.463926613478835 0.50975695495475 6.35646193422423 2.05000495275344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.465915580894617 0.525944098496488 5.83883957993206 2.57140373792072 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.476209645440266 0.57865536036489 4.06312732853386 5.35862396072167 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.652541331572347 0.726203688225795 3.86980847660154 2.18131297114764 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 35 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.88470577791459 0.969196534850209 4.60434746759385 2.24011459339445 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 NormalsMax ZhihongEstimator 0.0212507964974183 0.0206046754132696 0.00208738179945953 0.00131495705454656 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0221019163359591 0.0234218987367108 0.00229495640560256 0.00208488323885433 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0261461152828066 0.029406587740215 0.00324672898812641 0.00418378848962974 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0405715232262651 0.0466175402043922 0.00807312865563663 0.012175140718486 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.13470794401734 0.147149268105315 0.0892349412498832 0.0813712993907317 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.249885719802391 0.266164124401559 0.300782739454061 0.174404873538711 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0370101157550339 0.0373090097912766 0.00673609231321809 0.00380652414833472 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0711817743830553 0.0726256479682472 0.0254585395849818 0.0118688225112143 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.158630241258514 0.16073954282518 0.126587333950047 0.0449794379061754 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.5666489814495 0.575362679666248 1.54474957419816 0.375196989304499 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 36 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.977519828169223 0.981302039006327 4.47273960071799 0.870046965386832 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 NormalsMax ZhihongEstimator 0.38667661779626 0.37905594479319 0.840829466810121 1.39798680667805 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.386627260711722 0.380821197033342 0.841012654446302 1.5472014751056 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.38683238419773 0.383172391046693 0.842059391663316 1.71995384190849 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.388432590151148 0.389731083632607 0.847138240582484 2.14910899101162 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.410247764761171 0.434450278456184 0.908565659793122 5.12473000975961 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.452203765876937 0.471298748347912 1.03998119359504 3.73429429389109 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.388815338979961 0.373576968142605 0.842086908599643 0.874009084801692 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.396355989919227 0.369274019252485 0.860550126106391 0.55561338685051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.447507368253841 0.394830964518759 2.79592300586973 0.58446760779702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.686729265909109 0.589807465931712 18.6512442838012 0.934838811195021 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 37 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.872278402777224 0.852686853902041 5.0452617969206 1.42952361868372 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 NormalsMax ZhihongEstimator 0.424296543379871 0.398907571564711 5.11935481606552 0.527321665167621 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.444308044576295 0.399919451251988 8.30023709833574 0.52771032400824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.442088584066572 0.401490769928219 7.38740562945983 0.528999609578485 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.441628934958935 0.405000437475925 9.63937135191118 0.53100450518838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.386545207400066 0.434582262185361 0.64370396790395 0.558499506822782 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.427619382834222 0.523841522622229 0.888502425274865 3.53744411433677 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.392294108946941 0.403097755893656 2.47018003036975 0.531643816495825 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.397394589788203 0.411835416097101 2.35265068287701 0.541299191372399 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.413682583582457 0.438736542669953 1.81948531882487 0.570813524042108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.596505110135787 0.624259177483006 2.2999202411104 0.828268522720106 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 38 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.852886201937119 0.888884876983158 4.38066477693425 1.49509042006716 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 NormalsMax ZhihongEstimator 0.0143926069718996 0.0142775438756588 0.00135130208574478 0.00109764986124608 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.016151807920122 0.016074499574534 0.00152703586179708 0.00133356485817596 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0201431142241654 0.020173435778029 0.00221962926430105 0.00182988338864793 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0321056982404945 0.0319944546785871 0.00566303368014143 0.00361087526608557 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.108452544779874 0.10392865973682 0.0654204932492548 0.0225855928058477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.207391886299218 0.197307477899103 0.228135551766044 0.0598439502997385 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0266668547915692 0.0277611786314281 0.00372406220138778 0.00295467778032355 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.0509826232224813 0.0532032877062965 0.014421676000207 0.00846753195001576 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.117603007154465 0.120029087459335 0.0769517485669512 0.0308083801696862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 0.459095088666462 0.461014176443838 1.06537878822079 0.241686033468872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 3 39 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 0.808497231848039 0.814098716102097 3.14440971482154 0.596080376202194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 NormalsMax ZhihongEstimator 0.109933872227758 0.114312044013043 0.0653458009771242 0.0534608893811956 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.113098586001585 0.117897223710642 0.0682352233826214 0.055149422954251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.122123407859048 0.12742037383079 0.0775589108911399 0.0602020698947226 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.153755573699005 0.159229866888725 0.117801599082113 0.0799742605830065 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.370973666249072 0.376769246875407 0.69830138353997 0.284660830043473 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.662613967022449 0.666824669672226 2.2351241720701 0.684649810804466 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.14205531292059 0.145261057243867 0.100880255237382 0.0687016103835618 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.214265320114104 0.213197166775833 0.228475856653707 0.116198300684631 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.414518237507811 0.404022884145443 0.881640421742849 0.308343300797739 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.48562336040029 1.43956716327803 10.9952193772462 2.2481761024183 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 40 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.64193963655276 2.57785790636145 33.477026777684 5.52185303131752 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 NormalsMax ZhihongEstimator 0.117041398484508 0.12450045375599 0.0858728624603842 0.0757804730501505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.121257267361643 0.129502271218878 0.0900063729392239 0.0770587884486008 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.132091313301971 0.141207833445191 0.100814715019428 0.0808271068602285 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.166594910270974 0.177402038191987 0.144025308810356 0.0959470927073824 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.395621848428996 0.409537995205481 0.729635872153644 0.255738980677108 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.694171043689161 0.706510267677912 2.23195298535731 0.566092460531611 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.152220445553016 0.164592609803868 0.119378663223416 0.0933836809917614 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.226924847092109 0.24404402188592 0.241630637816977 0.139395836496234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.43659933486266 0.455522620052198 0.884543066069137 0.315209942839856 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.53741206295915 1.54293685284672 10.9506665439548 2.05190320011069 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 41 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.7169181465672 2.7160555381642 33.6896439452192 5.09124399306872 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 NormalsMax ZhihongEstimator 0.0969250143341321 0.0978954113587922 0.0668369398695287 0.0470533011773042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.102160931368062 0.103670261670602 0.0704271494972534 0.0488950363784431 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.115024463030664 0.117003456486959 0.0800144920594549 0.0537423847786375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.152471042391574 0.155448792473874 0.119027961099316 0.0715183860959963 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.381487996388755 0.38449502413138 0.674589591472281 0.248462963023265 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.671493946574519 0.675383855690628 2.11238397442227 0.59662912011099 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.136691998877437 0.142100740881782 0.101485649813797 0.0654148407056092 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.213157589111155 0.22377449362341 0.2152464353109 0.114232267471369 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.413009901094738 0.436894412442649 0.796039795561463 0.307534671473114 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.45184086096556 1.52034539887308 9.90914257094138 2.25397293823733 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 42 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.57942244547337 2.68397678396847 30.7992022751671 5.6273630947048 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 NormalsMax ZhihongEstimator 0.13527425827795 0.121646686616035 0.0991345616357989 0.0471838350481755 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.139405544674323 0.125853257710768 0.104586314730456 0.0495150170540538 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.150649204156896 0.135963622326029 0.120296644179064 0.0550322013044284 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.188269148121754 0.170766112164848 0.184376937895251 0.0761376527177141 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.447898235097755 0.412930686863631 1.02519250929788 0.299585390813635 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.778422600592068 0.739378877513929 3.08018001092934 0.762510004577331 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.172747735279976 0.155873710053191 0.15268593790107 0.0687691318468908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.256739118689275 0.23275711790152 0.332545175990443 0.127405748020973 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.484866275766066 0.451203719269332 1.19454077620674 0.362908602388063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.65897194689446 1.62039677466381 13.5994476602414 2.87947839227474 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 43 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.91778461265388 2.86791038126395 40.9544351836635 7.35577350708197 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 NormalsMax ZhihongEstimator 0.193839115337805 0.191814357465385 0.199429198767584 0.150457017997511 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.198990019285425 0.19496877279109 0.304950007885056 0.153571717191379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.209306535109712 0.202646677468581 0.640841640621009 0.158543959066723 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.229166696837029 0.22760552163708 0.272287666753664 0.175955555864845 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.406797233737179 0.410514337563541 0.791910253669653 1.1979562226573 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.653550425504653 0.659201565477173 2.05887735127526 3.04485119618063 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.219393731707946 0.222565555966181 0.246423019108856 0.417023266434543 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.275368048698993 0.28402345151547 0.374256081259131 1.11297233808512 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.438111881641404 0.444070557493176 0.917436575248054 0.943650365838379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.37796432645172 1.37025371592215 10.2055369054777 10.2812408017417 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 44 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.4358962019248 2.39364413633513 29.1477707250618 13.1315775853055 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 NormalsMax ZhihongEstimator 0.069804670365498 0.0641396976634901 0.0308203784119566 0.0187632171692353 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0741329434079646 0.068476573065091 0.0315310662230637 0.0206875228960128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0868211566255659 0.0806491020844547 0.0408717201240382 0.0257963965128827 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.128355643915455 0.121242895660044 0.088597045422836 0.046255593943207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.388009762044089 0.381684695183054 0.809978508601157 0.289029267289857 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.709974319818647 0.707623770728413 2.64121581102072 0.775609405266515 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.112919524891502 0.105117356341547 0.0762573395130588 0.035711384982859 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.200464265105998 0.191057384560545 0.229616446395004 0.0897932611599424 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.428897779340854 0.418250454197493 1.00727468362981 0.323695911560028 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.55060156262881 1.55500916684605 12.0587071199324 3.55045820383366 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 45 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.70568384859368 2.73074787696741 35.2628624283765 10.7957107812264 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 NormalsMax ZhihongEstimator 0.0406305263870254 0.0519951519588608 0.00867988598004993 0.0105081374432179 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.050373585465574 0.0632284564121488 0.0128543491631534 0.0134408119878487 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0725891420169513 0.0867325734193093 0.0263312710575461 0.020728722877361 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.135387472302289 0.15242661049292 0.0931602311605506 0.0484104173320813 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.489119838805912 0.508672569095404 1.19273479271137 0.326044486304719 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.897352399014364 0.918573838246035 3.92819164539875 0.865606683028858 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.110950934074162 0.125611569470042 0.0636270574345446 0.0367435536552927 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.238270197568379 0.25661348213639 0.294345841020073 0.114032360007011 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.550007023195138 0.568010125978426 1.52485006524728 0.414827582052843 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.94354473877218 1.95342257854478 18.0654811346914 3.34396753846909 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 46 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.32627581708988 3.30652407027298 52.1474641635858 8.4508281508202 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 NormalsMax ZhihongEstimator 0.0291874604108654 0.0361241561683894 0.00374761905540425 0.00512016122494128 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0364505396434375 0.0449731165118755 0.00539244425655585 0.00652106404945633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0522984042238927 0.0637530064947585 0.0107146632688587 0.0103596808270852 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.0976167766096413 0.115071715898038 0.0394290611959532 0.0246301074389437 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.371880742308846 0.397041335486659 0.620465688856503 0.1644496480702 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.70973643942116 0.732657282866088 2.26141355040135 0.425942659260659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.0815364259544319 0.0956549556397722 0.0267580397008887 0.0186985466779587 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.177630493997888 0.196042307635789 0.138123677736927 0.0548251039242862 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.426706725115687 0.44627710849745 0.823026819254707 0.193218940154741 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.62361836342861 1.64679918058686 11.7614131577098 1.56754705000042 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 47 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.84696760895862 2.87924565872762 35.8650384190857 4.08909089789605 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 NormalsMax ZhihongEstimator 0.218049344488024 0.209169792329582 0.257403816790361 0.199380764069217 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.220129124510509 0.211290102822483 0.259915807765073 0.20020785983235 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.226338645997703 0.217415747629344 0.269116496816691 0.203754647818707 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.24850277038394 0.239188375901659 0.307384767647967 0.21924684080234 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.41715810568812 0.402725989055187 0.947130673325505 0.412937950779207 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 0.641630240066432 0.627605649792535 1.90198881655922 0.752794672167293 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.240735714190153 0.232017293489821 0.293624581486053 0.21846001797659 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.293523736671941 0.284582927862848 0.405226971943638 0.271750168097359 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.446240811831586 0.435752384359273 0.904854134013134 0.477485406287379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 1.33106497939154 1.29970602839419 15.271692763586 2.36541685719449 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 48 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 2.33769280450934 2.32540846423785 28.1539519495725 6.95059818839346 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 NormalsMax ZhihongEstimator 0.0153389335459542 0.0198855368534256 0.00133379523189732 0.00152174418173708 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.0323287034196873 0.0371297523393181 0.00526748070287898 0.00336212806434624 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.0655771262361946 0.0722575057197735 0.0221845641370616 0.00931244445054251 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.15230512397603 0.159036646757089 0.118275965478865 0.032721489733078 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 0.568995826205269 0.567123143994028 1.57812386561777 0.274072875273982 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 1.00854538723944 0.997637732619261 4.88053326844258 0.740058325707198 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.117147851543011 0.126266213696593 0.0696190608099561 0.0265429956217908 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.273811097330249 0.283614870361512 0.369450638974813 0.102003416915087 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 0.617742372724512 0.629795407069646 1.82772250362761 0.397492631532231 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 2.03312359374732 2.05239220136818 19.2988519518351 3.35615924872479 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 4 49 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 3.40566888929708 3.41302721087961 53.936897277783 8.69227622437484 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 NormalsMax ZhihongEstimator 0.0875135673377546 0.0979486417387335 0.0305556522371458 0.0389926076687636 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.127002673262723 0.130242919474441 0.0675065610659761 0.0575437130963461 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.211121146878318 0.200005141491037 0.202367892993149 0.110768367354096 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.431739301332329 0.402207157663815 0.907964263907595 0.332032974583821 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.63272595344785 1.58652117023316 13.066102794408 2.76288583525465 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.01760229892099 2.97394399516577 43.5565417714196 7.49070160089134 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.33791858063563 0.315183266683483 0.547024839036583 0.223228562422481 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.751474654296001 0.72321035618218 2.81158553011124 0.819649508104356 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.76604465580352 1.74638062518848 15.2099616824491 3.27059230182117 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.26873439704901 6.33359137106456 181.542197489872 28.2160211398319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 50 0 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.6507072358418 10.7674570932326 513.460471341114 68.9378168098556 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 NormalsMax ZhihongEstimator 0.390169637281984 0.278433355762761 0.782844789340738 0.374859380041929 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.417616091579513 0.285622557134049 0.873898289987681 0.377228682110453 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.484912672604709 0.312153417154656 1.1357661375889 0.396121346473412 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.684528325896188 0.426230149727272 2.1898976633578 0.52616222608221 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.80116077950417 1.40072688849781 15.367482080154 2.67515072975477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.12961663614756 2.69881242721136 46.2339576117731 7.24485045311721 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.605981489943688 0.376983267742602 1.7231036168689 0.472399454972142 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.01028861781373 0.668301004053395 4.78642297128086 0.93910388600336 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.00279110009008 1.56139786462528 19.0859093715537 3.24265389439932 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.66581287140952 6.14501840711112 206.557103305872 28.8410320841582 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 51 1 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.3326458598466 10.8060705803742 585.255623885254 72.7788717082102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 NormalsMax ZhihongEstimator 0.0726653861589351 0.0185159113726909 0.0215544712875185 0.00142346505550328 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.159006067984874 0.0816654398737962 0.120583448911651 0.00996086696433505 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.309830009698236 0.227662334399874 0.468860286083831 0.0508557527543801 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.670766235882455 0.592215118204661 2.15624818171966 0.248041427588323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 2.26200204764892 2.18829275124514 23.5878780973031 2.54474255505772 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.87933094349985 3.79016536264038 68.6435342784336 7.20839683076503 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.493043968794187 0.421122786610834 1.14700130839373 0.137867237077068 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 1.07114252618727 1.02404115801381 5.33404451978132 0.621060841162201 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 2.27852587871963 2.26217241821133 23.7167441019062 2.58845474573936 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 7.09318916144003 7.22038254472439 226.124148509312 23.3231537576153 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 52 2 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.5861708050236 12.0391240572938 597.791337657767 61.5432622273942 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 NormalsMax ZhihongEstimator 0.149326318874702 0.174880733662254 0.0857584796583201 0.178109820996145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.193508600508624 0.185176205835888 0.146940644035008 0.184826496555477 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.279967388082698 0.214304519404482 0.320922990908514 0.199275476249133 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.496285613637466 0.340726725891377 1.08638770657643 0.310176654628964 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.66114461611769 1.42238379988597 13.2043701948795 2.22473481354147 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.0464077217738 2.80663781916225 43.8515097240343 6.50569686899544 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.425462354845218 0.297446540756219 0.80754140924578 0.289370293785694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.851454123708449 0.653035437014612 3.50364458079212 0.889739257811507 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.90292333744905 1.66283498241671 17.6999639363332 3.718674419375 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.65686254779428 6.33930627564711 207.174152378288 34.7792587400416 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 53 3 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.3842337901765 10.6611740606605 595.677628274354 75.443658976642 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 NormalsMax ZhihongEstimator 0.19548527975363 0.230769229191032 0.180880248401209 0.282402674141468 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.220877001359332 0.257402013897286 0.221362214105364 0.309754016269253 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.282156247117275 0.312072435348538 0.349188571144431 0.373768135581379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.463331930373691 0.466061274589651 0.948015333876677 0.596017427732392 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.52305817078153 1.41936257739873 10.7761496666777 2.83601334176595 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.80099269783074 2.65490865724936 36.5395877282314 7.29523175112565 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.391390659632778 0.404242008585878 0.678217449206087 0.507883514483257 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.762534159773306 0.724220562045503 2.6627736316792 1.1088716729612 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.69511425184571 1.57497187017366 13.4336460985135 3.46753645715145 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.10832863785414 5.90012562147664 171.809894288823 27.3382886104095 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 54 4 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.5969838411751 10.3653064689419 509.253861646883 69.0437128493402 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 NormalsMax ZhihongEstimator 0.063064773071118 0.0670645150890835 0.0175091729111635 0.0191175550613312 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.109449364831343 0.117010840241059 0.052920763506099 0.0391861810776731 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.202584510660108 0.214936170547224 0.195608411089056 0.0939697233341187 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.453896712695139 0.470937912954528 1.01606549432853 0.312728651926305 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.73863589380204 1.76166439808939 14.3540890637658 2.53928192796694 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.11346878499034 3.14879949033648 45.0400646850405 6.82964511990229 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.353313254688908 0.361242411392616 0.625597835834003 0.213040267166519 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.832746813221418 0.836532050338058 3.43959870480077 0.796316980077224 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.91805986624506 1.91139935856569 17.6445394135121 3.07513930825131 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.4224608923515 6.37622490587222 190.176756919544 25.4378788332937 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 55 5 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.7646989109762 10.6762556134564 526.605118604451 63.0876404629688 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 NormalsMax ZhihongEstimator 0.12343282136439 0.140070302874437 0.0825819707581712 0.127283558532878 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.161574160109409 0.181406778454596 0.116700004087921 0.152109208832633 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.239943673947068 0.261410088683514 0.23936162472326 0.21412015502157 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.457332741837694 0.476155543182302 0.899219540376887 0.442721372677102 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.64919567471657 1.64619921299029 12.3105134236294 2.73111486443051 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.01017970337543 3.00022743717763 41.0247310310021 7.07954465683795 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.374016366839737 0.395473532522311 0.599578376130889 0.358393882925281 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.808670384913996 0.818097573020383 2.93185655195433 0.992379401351657 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.84318929750895 1.83413153773218 15.4912902559184 3.40184229540451 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.46717101763946 6.46321858222843 188.445400539422 27.0083975229033 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 56 6 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.0919085083223 11.0696125429754 548.308396833594 67.0960579090032 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 NormalsMax ZhihongEstimator 0.157935855031341 0.140245351074549 0.101950064192328 0.0798770627069318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.192321079299554 0.166125800410637 0.15093617658816 0.0938639029769194 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.267832900948096 0.231182816008747 0.30532234787488 0.139778272184113 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.481910847029314 0.431117722624279 1.06658596007478 0.330646065910038 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.68664750915751 1.62502903316743 13.4724521503666 2.4935976878808 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.06285387665151 3.00654954427013 43.6775217224012 6.81052303470939 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.398769340366637 0.354225881084185 0.730211555594284 0.254406847476715 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.828685729592269 0.771160813145433 3.31803804877956 0.80731543196676 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.88140463849624 1.80977206280703 16.9605720905842 3.06044401868373 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.5266086836933 6.43908792133817 195.61783681128 25.9717125793706 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 57 7 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 11.054360459024 10.9365576293211 552.26565338182 65.2640101175323 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 NormalsMax ZhihongEstimator 0.19165797983141 0.200953030618543 0.172548521871567 0.218200915437838 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.221137702101495 0.231613066686721 0.304199340128515 0.32383653199405 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.280588385916176 0.292797073230511 0.390123863248701 0.373701598553746 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.458281503785765 0.470196337541002 1.04347775695758 0.730178648901951 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.49632481165296 1.49758575388709 10.3463203713465 3.0254711834368 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 2.76156906470097 2.75901877846232 35.280716176041 7.50561751374036 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.384413471477076 0.393268899855857 0.610495728949083 0.436613291138598 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.744462277639561 0.745737595437189 2.50665501928416 1.08966207340873 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.66168685015069 1.64919812345423 12.9351702367182 3.46941895430318 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.08286096374406 6.02583108371532 170.584199645296 26.6757794358906 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 58 8 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.5894402266949 10.4843255040932 508.135711876039 65.9519576028177 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 NormalsMax ZhihongEstimator 0.165772228951882 0.193692514215938 0.105126001818642 0.228980178257555 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.0025) NormalsMax ZhihongEstimator 0.214922691301494 0.200414076532252 0.172941367149418 0.223891610386379 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.005) NormalsMax ZhihongEstimator 0.314381032945378 0.226765249978083 0.386705802111335 0.223059644434747 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.01) NormalsMax ZhihongEstimator 0.552099162214458 0.35938922233046 1.31019642767835 0.330370660613367 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.03) NormalsMax ZhihongEstimator 1.78940186851304 1.58544488891467 15.2586954752806 2.6953673233319 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite UniformNoise (scale 0.05) NormalsMax ZhihongEstimator 3.27651661820049 3.09708833995765 50.7080595814522 7.68113735389672 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.0025) NormalsMax ZhihongEstimator 0.446985258364525 0.27979226934649 0.836957788820987 0.259389609651165 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.005) NormalsMax ZhihongEstimator 0.842614322190997 0.610687494804628 3.33111630083505 0.669594235370347 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.01) NormalsMax ZhihongEstimator 1.80526494127798 1.62158907788934 15.96733925475 2.9074474313136 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.03) NormalsMax ZhihongEstimator 6.44117673840293 6.33617399213223 197.627550237573 27.2963055230344 ImplicitDataSource a*(sin(b*x)) + c*(sin(d*y)) + sin(e*z) 5 59 9 Composite GaussianNoise (Sigma 0.05) NormalsMax ZhihongEstimator 10.9298897871792 10.8484773986845 552.885333613315 68.5781690272919